jsundram/gist:1e2250d0360c2fec458b

## gistfile1.txt
{
 "metadata": {
  "name": "",
  "signature": "sha256:fa014ff7b33faeb7067a121aa857dd54b41b9c8f17d6299ea5b8df7f93e98601"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import pandas as pd\n",
      "import requests\n",
      "from datetime import datetime, timedelta\n",
      "import seaborn\n",
      "\n",
      "from IPython.html.widgets import interact, interactive, fixed\n",
      "from IPython.html import widgets\n",
      "from IPython.display import clear_output, display, HTML\n",
      "\n",
      "from pyechonest import track as echo_track\n",
      "from pyechonest import config as echo_config\n",
      "\n",
      "pyechonest.track\n",
      "echo_config.ECHO_NEST_API_KEY=\"TYPRLTZXYZCRJJMCL\"\n",
      "\n",
      "def echo_nest_id(spotify_href):\n",
      "    return 'spotify-WW:track:' + spotify_href.split(':')[2]\n",
      "\n",
      "def get_echo_track(spotify_href):\n",
      "    track_id = echo_nest_id(spotify_href)\n",
      "    return echo_track.track_from_id(track_id)\n",
      "\n",
      "def search(q):\n",
      "    API = 'https://ws.spotify.com/search/1/track.json'\n",
      "    return requests.get(API, params=dict(q=q))\n",
      "\n",
      "# echonest pitch converter\n",
      "def to_pitch(n, mode):\n",
      "    if n == -1:\n",
      "        return 'Unknown'\n",
      "\n",
      "    pitches = ['C', 'C#', 'D', 'Eb', 'E', 'F', 'F#', 'G', 'Ab', 'A', 'Bb', 'B']\n",
      "    m = 'minor' if mode == 0 else 'major'\n",
      "    return pitches[n] + ' ' + m\n",
      "\n",
      "def spotify_embed(spotify_href):\n",
      "    display(HTML('<iframe src=\"https://embed.spotify.com/?uri={}\" width=\"300\" height=\"80\" frameborder=\"0\" allowtransparency=\"true\"></iframe>'.format(spotify_href)))\n",
      "\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 15
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "t = get_echo_track('spotify:track:1bKXLqRYwv1HnjJ2tmu3po')\n",
      "t.get_analysis()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 67
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "spotify_embed('spotify:track:1bKXLqRYwv1HnjJ2tmu3po')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<iframe src=\"https://embed.spotify.com/?uri=spotify:track:1bKXLqRYwv1HnjJ2tmu3po\" width=\"300\" height=\"80\" frameborder=\"0\" allowtransparency=\"true\"></iframe>"
       ],
       "metadata": {},
       "output_type": "display_data",
       "text": [
        "<IPython.core.display.HTML at 0x106982ad0>"
       ]
      }
     ],
     "prompt_number": 117
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def track_to_bpm_ts(track, **kwargs):\n",
      "    beat_df = pd.DataFrame(track.beats)\n",
      "    return bpm_ts(beat_df.start, **kwargs)\n",
      "\n",
      "\n",
      "def pretty_time(secs):\n",
      "    \"\"\"convert something like 87 seconds to 1:27\"\"\"\n",
      "    dt = datetime(2014,1,1) + timedelta(seconds=secs)\n",
      "    return dt.strftime('%M:%S')\n",
      "\n",
      "\n",
      "def bpm_ts(beats, smooth=True, smooth_window=4):\n",
      "    # try manually rounding each time offset to something 200bpm\n",
      "    # quantize the points to 1/4 second\n",
      "\n",
      "    q = 4  # number of bins per second to quantize to\n",
      "    count_window = 4*5  # number of bins to count beats over\n",
      "\n",
      "    quantized = [int(round(t*q)) for t in beats]\n",
      "    beats = pd.Series(ones(len(quantized)), index=quantized)\n",
      "\n",
      "    # fill in the holes\n",
      "    ts = beats.reindex(range(0,max(quantized)))\n",
      "\n",
      "    # count the beats\n",
      "    bpm = pd.rolling_count(ts, window=count_window) / (count_window / (60.0 * q)) \n",
      "    \n",
      "    if smooth:\n",
      "        bpm = pd.rolling_mean(bpm, window=smooth_window)\n",
      "    \n",
      "    bpm.index = (bpm.index / (1.0 * q)).astype(float)\n",
      "    return bpm\n",
      "\n",
      "\n",
      "def track_to_bpm_ts_2(track, smooth=True, smooth_window=20):\n",
      "    beat_df = pd.DataFrame(track.beats)\n",
      "    beat_df.index = beat_df.start\n",
      "    return pd.rolling_mean(60.0 / beat_df.start.diff(), window=smooth_window)\n",
      "\n",
      "\n",
      "def plot_ts(ts):\n",
      "    \"\"\"pretty print timeseries where the index is in seconds\"\"\"\n",
      "    ts.plot()\n",
      "    xx = range(0, int(max(ts.index)), 20)\n",
      "    pyplot.xticks(xx, [pretty_time(x) for x in xx]);\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 302
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print df[df.group=='Apponyi Quartet'].href.values[0]\n",
      "print df[df.group=='Coull Quartet'].href.values[0]\n",
      "tracks"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "spotify:track:2HQyed6DKNUFCu4QjQf4WC\n",
        "spotify:track:6LT96I1pGLaxBMgSGQYDYf\n"
       ]
      },
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 185,
       "text": [
        "{u'spotify:track:1bKXLqRYwv1HnjJ2tmu3po': <track - String Quartet in B Flat, Op. 33, No. 4: IV. Finale. Presto>,\n",
        " u'spotify:track:2HQyed6DKNUFCu4QjQf4WC': <track - String Quartet No. 34 in B flat major, Op. 33, No. 4, Hob.III:40: IV. Finale: Presto>,\n",
        " u'spotify:track:42ZB7AiDtgJt7wwfphwe25': <track - String Quartet No. 34 in B flat major, Op. 33, No. 4, Hob.III:40: IV. Finale: Presto>,\n",
        " u'spotify:track:6LT96I1pGLaxBMgSGQYDYf': <track - String Quartet in B Flat Major, Op. 33 No. 4: IV. Presto>,\n",
        " u'spotify:track:6kNBDD9jqd0pjNWTeByery': <track - String Quartet in B-Flat Major, Op. 33 No. 4, Hob III:40: IV. Presto>}"
       ]
      }
     ],
     "prompt_number": 185
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "qq = ['apponyi', 'kodaly', 'coull', 'borodin']\n",
      "for q in qq:\n",
      "    href = df[df.group.str.contains(q, case=False)].href.values[0]\n",
      "    ts = track_to_bpm_ts(tracks[href], smooth=True, smooth_window=40)\n",
      "    plot_ts(ts)\n",
      "\n",
      "legend(qq);\n",
      "pyplot.ylim([120, 160]);\n",
      "ylabel('bpm');\n",
      "title('comparison of performances of Op. 33 No. 4 IV. Presto');"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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CQkKB1zb/fpXvJeXzfufOHbRu3VplwN7QoUOxb98+AMDt27fRunVryGQy7rnx9vaGVCpF\nWFgYrK2tUbt2bXz33Xf4/vvvERISAmdnZ0yZMqXQAXUZGRn477//0LVrV5XlXbt2BY/HK3A+lEQo\nLHqIhjJfkuVLdyjufaAJW1tb7NmzBwsWLMC///6LadOmFdjGx8cHe/fuxcSJE7F27Vrs2LFDrX23\nbt0a3bt3xy+//FJoWoC651tJFixYgHbt2qFNmzYAoHKeaaJdu3YwNTVVSSM4deoUevToofE+PTw8\n0LhxYzRu3BitW7dGQEAAfH198X//938q2+U/f+7fvw+JRAIfHx/uPSqVStGmTRvcvHkTQMmfYR/S\n5Fwm2o0GcRFSDGWupIWFRaHrU1JSCh0gYWVlpRKMAigw+lhPT0/lf/bBIANLS8sCgYKlpSXS0tIA\nAC9evMC8efNw7949GBkZoVGjRtDX1y+wn+IGcHh5eWHjxo3Yvn07fv31V6xfvx7169fHkiVL4Orq\nirS0NFhbWxe4n4WFBTIyMop8LDwer9hBE2lpaWo/byWxsbFR+d/S0hLp6elgjCE5ORmPHz9Go0aN\nCrSvYcOGKsctTkpKCkxMTApUb1DeL/9zYWlpWeD+hY08Ly5/8OLFi1i8eDFiYmJgbW0Nd3d36Onp\nFXhO8z/vyveKMo86NTW10LYoJScnY9euXdi1a5fKch6Ph7i4OPB4POzYsQPr16/H2bNncfjwYRgb\nG2PcuHEYN25cgf2lpaWBMVbgudTV1YWxsbHar2v16tUBANHR0XB0dCx0m6ioKACKHx5KRb0PNGVp\naQlLS0s0a9YMBgYGmDVrFl6/fo3atWtz2zg5OcHJyQlNmzaFWCzG9u3bMWrUKLX2P3fuXFy9ehWL\nFy/G7NmzVdape74V58KFC7h16xZOnjzJ5UwzxiCXyyGTyTQaLKWrqwt/f3+uGsGTJ08QHh6OtWvX\nqr0PpYMHD0JHRwc8Hg96enpwcHCAvr5+ge3yv2eVn7+9evUqsB2Px0NOTk6Jn2EfUudcNjQ01Pjx\nkfJHASwhxTAxMQEAJCUlqQQhYWFhsLKygrm5OcRicYH7icXiIoPeonzYo5GSklLofr28vMAYw8SJ\nE1G9enWcPXuW+3JduXIl3r59q9FxfX194evri9TUVFy6dAkbNmzArFmzcPbsWZiamhb6+BISEko1\nMESpqP2KxWKYmZlptK8Pn6fExERYWFiAx+PB1NRUZWS5EmNM5TjFBduAooc0LS0NEolE5YtP+Rg0\nbXNxXr9+jenTp2Po0KH4+uuvuS/Wfv36abQfY2NjJCYmqixLTk7G06dP4enpCVNTU/To0aNAcMAY\n44JIe3t7LFmyBIsWLUJoaCj27t2L1atXo3nz5nB3dy9wPB6Ph4SEBJXlOTk5SEtLU/s5aty4Mays\nrBAcHIyWLVsWuk1ISAgaN26sco4V9T5Q14ULF+Dg4KDSMy4SiQAA8fHxsLa2RnBwMLy9vVWCdJFI\nhCNHjqh9HEtLS8yYMQM//PADmjdvrrKuLM63kJAQpKamcqW/lO7fv48///wTISEh3Ourji+//BKH\nDh1CZGQkgoKCIBKJuOdFEy4uLsVe5SiM8vN3+/bthZ6vynOxuM+wD5XnuUw+LUohIKQYjRs3hkAg\nwJUrV7hlubm5mDZtGs6cOQNPT0/Ex8erXN6TyWS4cOFCgS94TeXm5qpc5v7vv/8QGRmJFi1aICEh\nARERERg0aBAXvMrlcty4cUOjcjFr1qzBgAEDACi+PHv27In+/ftzlQw8PT1x9epVlZ6syMhIPHr0\nSOXxaXo50dPTE+fPn1eZnCA0NBRisVjj5+3D0cPBwcFo0aIFd5w3b96gdu3aaNSoERo1aoS6deti\n48aNePjwodrt9/T0BGOswBfimTNnSvXFXJzHjx9DKpVi/PjxXKAkFovx7NkzjSZzcHd3x/Xr11XS\nDk6ePIlJkyYBUFzSDQ8P556XRo0aQSAQYO3atUhMTMSjR4/QqlUrPH78GHw+H82aNcP3338PAIVe\n/jY2NoZIJMKZM2dUliufM3VfV4FAgLFjx+LgwYO4c+dOgfVnzpzB1atXMWbMGJXlxb0P1BEYGIjV\nq1erLLtx4wYEAgFXem7evHn4448/CmxTr149tY8DKErDeXh4YM2aNSrL1T3fijN58mQcPXqU+zty\n5Ajq16+PDh064OjRowV6qkvi6emJGjVqICQkBMHBwejZs6dG9/8Ybm5uEAqFSE5OVnmfXrt2DYcO\nHQKfzy/yM0z5Hv2wx7k8z2XyaVEPLCHFsLGxQd++fbFq1SrI5XI4OTlh//79kEql6N27N6ysrNC4\ncWNMmzYN//d//wcrKyvs27cPUVFR+PnnnzU6VmGBZ0BAAGbOnAmBQIDVq1dz5Y4YY7C3t8e2bdtg\naGgImUyGAwcOICoqCjk5OWofq1WrVggMDMT8+fPRtWtXiMVi7Nu3jys9M3LkSBw7dgxjxozBuHHj\nkJOTg3Xr1sHOzg69e/cutu3FmTBhAgYNGoSJEydi8ODBiI+Px9q1a+Hm5ob27dtrtK+goCDY2dmh\nefPmOH78OJ4/f47FixcDAPr06YNdu3Zh7NixGDNmDHR1dfHbb7/h4cOHKpdvS2p/w4YN0alTJ8yf\nPx/JycmoXbs2Tp06hVu3bmHDhg0atbckzs7OEAgEWLp0KXr37o24uDhs3rwZBgYGGuXnjRgxAseO\nHcOkSZMwdOhQxMbGYt26dRg2bBh0dXUxYcIEDBkyBHPnzoW/vz9SUlKwZs0aGBoaok6dOmCMwdjY\nGAEBAZgyZQqMjIywf/9+mJqaFhkYTpkyBd988w0CAgLQrVs3hIeH45dffoGfn59GvXYjRozAgwcP\nMGrUKAwfPhytWrWCVCpFSEgIfv/9dwwbNgz+/v4q9ynufQAAd+/ehZWVFWrWrFnoMceNG4cpU6Zg\nyZIl6NChAx4+fIiNGzdi2LBh3A+JQYMG4ddff4W+vj6cnJxw7tw5BAcHl+o9sGDBAnz11Vcqy9Q5\n39LT0/HixQvUqlWr0B5mBwcHODg4qCwzMDCAubl5gVQadfB4PPTo0QN79+5FVFQUevToobK+pOf1\nY1hZWWHgwIGYP38+xGIxGjRogFu3bmHz5s2YPn06gKI/w5R1hpW9uH/99ReqV69erucy+bQogCWk\nBN9//z3MzMwQGBiIjIwMuLq6YufOndzMO7/99htWrFiB5cuXIzc3F25ubtizZ49KDcsPe/h4PF6h\nyz4UEBCApUuXIjMzE76+vlwRdB6Ph3Xr1mHhwoWYMmUKLC0t0adPHy4oef78OerXr1/o48l/7JYt\nW2L58uXYunUr/vzzTxgZGaFLly6YNWsWAEU+4r59+7BixQrMnDkTurq68PHxwezZs7mUisIeS1GP\nR0n5HK5atQpTpkyBiYkJ/Pz8MGPGDJW8X3V6dqdMmYJ//vkHu3fvRoMGDbBt2zY4OzsDUHx57dmz\nBytWrOBm+1EeW9lzXVT7P7Rq1SqsXbsWgYGBSE1NhUgkwubNm1Uu1arbE13c8+Xk5ISlS5diw4YN\nOHPmDJycnDB58mRER0djx44dXLBd0rEcHR2xa9cuLF++HFOnToWVlRVGjRqFCRMmAFAMAPvtt9+w\ndu1aTJ48GUZGRvDx8VEpKh8YGIgVK1bgu+++Q05ODtzc3LB9+3aYm5sXesyOHTtiw4YN2LBhA4KC\ngmBtbY1hw4bhm2++UXmcJbWdz+dj9erV+PPPP3Hw4EHs378fAoEAjRo1wrp16wqdVam49wEADBw4\nEL179y5Q61Wpc+fOWLt2LTZv3oxDhw7BxsYGkydPVpmJavbs2bCwsMCuXbsQFxeH+vXrY9OmTcX+\n6Crq8davXx+jRo1Sma5VnfPt0aNHGDFiBJYtW1ZobqgmbShsu8L07NkTmzZtgre3d4Ee3JKe1+L2\nq852c+fOhaWlJXbu3AmxWAwHBwcEBARwk0mU9BlmbGyM0aNHY9++fYiIiMCmTZvUOpeJ9uMxTbtO\nqqj79+/jm2++wdWrVwEoLu8uX74cQUFBYIyhc+fO+PHHH7mcmlWrVuHIkSOQyWTo2bMn5syZU+5T\nYZLK648//sDcuXPx9OnTim6KVnN2dtboi5x8nuh9QEjVQxFVCRhjOHLkCEaPHs2N6ASA1atX4+XL\nlzh//jzOnz+PFy9ecKVU9u7diytXruDkyZM4ffo0wsLCsH379op6CIQQQgghnxUKYEuwefNm7Nmz\nBxMnTuQu3UkkEvz+++/44YcfYGpqCjMzM6xbt47LDTp+/DhGjhwJa2trWFtbY/z48Th27FhFPgxS\nCZW2diMhhBDyuaMc2BL07dsXEydO5IomA4q5qmUyGe7evYuJEyciKysLPXr04Aoyh4eHq4xKrV27\nNsLDw8u97R9rwvJgRMXljYZt7lINc0c2g0Cg/u+e6Ph0jF8WXOT6NdPboV7NwvPpqrLevXurDJIi\nhaMUCwLQ+4CQqogC2BIUVnIkJSUFEokEly9fxtGjR5Geno7x48fD2NiYC2jzF2g2MDCAXC5Hbm6u\nWiU6kpMzIJdXbGryg5cJKsErAPxvmBfS0rI0apu+APi6hwu2nnxc6Pq5m/7GiomtYWr0caVL+Hwe\nzM2NtOK5+xC1rfS0uX3UttLT5vZpc9sA7W4fta30tLl9FdU2mYzBxsakyPUUwJaCrq4u5HI5pk+f\nDmNjYxgbG2PUqFFcqoG+vr5KKaOsrCwIhUK168vJ5QwyWcW+gX8LeqLyv6WJHvR0hchIz9a4bQ7W\nBWchUsrKkeHiv5Ho6V30dKea0IbnrijUttLT5vZR20pPm9unzW0DtLt91LbS0+b2aVvbKIAthVq1\naoHP56sEqfkHeNWtWxevXr3iprELDw9H3bp1y72dpZWeJUFSWt5j83a1R3tP9Wdu+ZCjnQmGdG6A\ney/E0NURIDk9Bwa6Qjx6rZglKDJO8+keCSGEEFJ1UQBbCqampujUqRNWr16N1atXIzMzE7t27eJm\nKPnyyy+xbds2tGzZEgKBAIGBgeU6e8nHiknIm3N73TQfGBvoQCD4uAFFHb1qoKOX6lSIp2+8wZHL\nLxH6LB63n8ahmbPtRx2DEEIIIVUDBbAayD8qfOnSpVi+fDm++OIL5Obmonfv3hg9ejQAYPDgwRCL\nxejbty9yc3PRs2dPjBo1qqKarbFosSKANTXUgbGBTglbl56jrTF3+7dTj+FR3xpCDQaIEUIIIaRq\nogBWTS1atMD169e5/42MjLBgwYJCt+Xz+Zg+fTo31V1lowxgqxeTu1oWXOpYwtvVHn8/iEGuVI74\n5CzYW33aYxJCCCGk8qMAlqiQSGW48G8kgE8fwPJ5PIzwF+H6o3eQyRmW77+DxV+3gJF+2fb6MsZw\n8tprRMQqcm0N9YXo5eMECxO9j953Qko2jv8djqwcqcryug5m6NrC8aP3TwghhJCCKIAlKm49ieNu\n18x3if9TEfD5qGFjjDexaUjNyMVf96Lh36JWmR7j9bs0/HlVtQ6vkb4O+vvWK+Ie6jt3+y3+fhBT\nYHnos3g0qWdFPcqEEELIJ0AJh0RFZHxeRYBWjaqVyzFH+Iu421HxGcVsWToR76sc6OsKuKA8/+P8\nGMoKCo52xmjnXh3t3KtD+H7AW+QneCyEEEIIoQCWfCBanAkAaOdeHbo6gnI5Zu1qpujRujYA4NrD\ndwh7Fv/R+4wWZyDw5COsP3ofZ2++BaAo59W2iaIc2MPwRPxTSM+pJv66F42nb5MBAB08HDCiqzNG\ndHXmel03/flQpaIDIYQQQsoGBbBERfT7gKu4yQc+BUe7vHSFHaefgLGPK5Z84p9w3HgUizvPxXiX\nqAjKa9kZqxxn55mnyMmVlWr/mdkS7DqbN32lo51JobeDrr8p1f4JIYQQUjQKYAknO1eKhJRsAJ9+\nANeH3Otbc3VgM7KlKhMplIby8n39GmZo7+EA/xaO+KJlLdRzMIP/+8FVMjnjgltNRSdkQhlj9/Su\ng9rV8oLWXvlmFaNJGgghhJCyRwEs4QSHRnK3y3vwkYDPx+huDaGstLt8/50CI/vVFXT9NVcKrGsL\nRwzvIkK/DvVgZqwHHo+Hvu3rwkBPkR6xdG8oUjJyNdp/UloOlu4JBQAYG+igp3cdlRrBVmb6mNir\nMQDgbVxIichoAAAgAElEQVQ6l8JACCGEkLJBASzhXLoTBQAQ8HkwN9Yt9+Pr6QhQzcoQABCfnIXr\nj95pvI/YpEwcvfKK+7+wSgo8Ho+7zJ8rlePy+8etrpCwSCgTHPKnJOSXf5KGAxefIz6pdD29hBBC\nSGW3Z88OLFr0Y5nuk8poEQBAjkSGpFTFZfsuzR1VehTL05huLli0+18ApRvFHxmXd5/R3RrC2syg\n0O2Gdm6A73+79f4+ml3mj8i3/eBODQrdxs7SEMO6iLDn3H8AgDfv0uBkRyW1CCGkMpLK5EhMzf5k\n++cLeMiR85CckglzI73PblbKYcPKfjZSCmAJpDI51vx+l+tV7ODhUGFtcapuCr9mNXH+dgSXBqCu\nqPh0rDtyH4BiEJq3q32R2zrYGKNv+7o4cvklQp/FY8rav6Aj5KN+DXMM7yoqcjKFfx7E4P7LBADA\nwI71is0V7uDhgHO33iIuKQs/bbuBFZNawdq08ICaEEKIdpLK5JgbeAPilE8XwOZnbaaPJeNaqh3E\nXrx4DgcO7EVMTDQAwNe3E2bOnIO+fXvgq6/64siRQ8jOzkLHjn6YNm0mdHR0sHjxfJiZmeH27VuI\njo6Cq6sbZs/+DnZ2ivKZhw8fwOHDB5GWlgYXFxf89NN8mJnZ4M6dUKxduxLNmrXA6dOnoK+vj759\nB2Dw4OHYsWMr7t+/izVrNnJtGzNmKIYMGYnXr18hPPwlFi5cXmbP0+cV4pNSuXwnCs8iUgAAOkI+\nLE0/foaqj6EMCjUNYI+GPOduF3VpP7/822RkS5GcnovbT+Nw7K9XhW4vkcqw80zhlQeKUivfNmdv\nUC4sIYSQshMTE43lyxdj1qw5OH06GL/+ug0XLpxFaOht8Hg8XLoUjG3bdmPfviN48uQxfvttC3ff\noKCT+N//5iEo6CJsbGzxww9zAADHj/+BAwf2YtmyVTh58jzc3Nzx9ddfIydHcZX21auXMDU1w6lT\nFzB9+ixs2bIRYnE8/Pz8cedOKFJSFOUl3759jcjICHh7t/0kj516YAmeR6Zwt4UCXoWlDyhVfz+A\nLD1LgrTMXJgYqpeP+zomlbvdu23dErdvVNsS7T0cCuTA3nshxlA/UYHt3yVmQSZX9FN3bloToprm\nJR6jb/u6uP1UMbtZBFUkIISQSkco4GPJuJafPIXA3MwIySkZGqUQ2NjYYs+eQ6hWzR4pKclITU2B\niYkp4uMV3ztjx46HlZU1AGDEiDFYt24VJkyYDAD48steaNRIMeB48uT/wxdf+CImJhrnzp1G//6D\n4eSkmK1y1KixOHHiGO7cCYNQqAM+n48hQ0aAz+ejbdv2MDAwQHR0FNzc3OHs7ILLl4PRs2cfXLx4\nHu3bd4Su7qcZU0MBLIFUJq/oJqiobm3I3Q66/gYDO9YvcltxShaOXnmFsGfxkEgVj2NcDxdYmemX\neBwej4chnesXCGATUnMw9ZersDLVR0JqNmRyBltzA7yJTQMA6OrwMaBjPbUCfRtzA4zp3hC/nXqC\n55EpCA6NREevGiXejxBCiPYQCviwtTAsecNSEgh4sLQ0gh6fQSZTvw66QCDAiRPHEBR0HAYGhmjQ\nwBlSqZSrpe7gUJPb1tbWFomJihQ4Ho+nss7ExAT6+gZITExAcnIS7O3zUvB4PB7s7e0RHx8He3sH\nmJiYQCDIm+hIKBRCLld8//r5+SM4+AJ69uyDCxfOYcaM2aV7QtRAKQQEsUlZ3O327hWX/6pkqK/D\nlbkqabasc7cicPNxLBe8Aupd2lcS8PngFxKIpmdJ8CY2DelZEmTlSLngFQAcbU0KvU9R8teI3Xfh\nGdIyNSvbRQghhBTm4sVzCAm5gJ07D+DgwWNYsGCpSo+nsicWAN69i+FyXBljKutSUpKRnZ0FGxtb\n2NlVQ0xM3nevXC5HdHQ0LC0tS2yPr29nPHz4AGFh/yIzMwNeXs3K4mEWigLYKk4qkyP2fTH/ug6m\n+LJNnRLuUT56tFa0IyNbivQsSZHbRX1QqWB4V5HGkzD8MLIperd1gmcDG7W2H961YHpBcRztTDC6\nRyPuf+V0vYQQQsjHyMzMgFAohFCog9zcXOzbtwsxMdGQShV11Hfs2IrU1BSIxfHYvXs7unbtxt33\nxIljCA9/iZycbGzc+Au8vJrB1tYO/v7dcfjwAYSHv4REIsGOHdvA4/HQtGnJwai5uTmaNm2O9evX\noHPnLp80JZFSCKq4v+5Fc3mdY7u5QE9XUMI9yoe3mz1+v/QCADD1l6uoaWuM5PQcZOfKUM3SEGmZ\nuUjPkkD6waWWjl41NLr8AigCTEc7E+RIZJi46kqx2zZztkUNm5IHiH3oq/b18Mel50hOz8Xy/WFY\nObG1WmkOhBBCSFG6du2Of/+9jX79esDCwhIdOnTCl19+hTdvwgEAtWs7YcyYYcjKykSPHl9x5ax4\nPB6aNPHAokU/IioqEs2atcBPPy0BoEgDSE5OQkDADCQlJcHFpRF27NgBPT3ld1bxQWmXLv6YP38e\nAgK+/2BN2QazFMBWcX/djeZuW5trT0BlbKADK1M9JLyvTZt/AFRRg6FqFDJpgSb0dEoO3t3rWZd6\n/7WqmSD5hSL/6MK/EcXm9hJCCCEl0dPTw8KFywpdd+XKJfj5dS0yD7VevfpYsGBpoev69x+M/v0H\nA1Dm5xojMTEdHh5eOHXqgsq2p05dVPnfxsYWjo61IBI5c8tGjx6n9mNSFwWwVVza+8vzLVzsIOBr\nV0bJhJ6Nsfj9lK3F8WtWE2bGuvBrVQeAZr2vH/phZFM8Ck8EoAhos3Nl4PF40NNRPDctGtmVet9D\nOjfAvRfXAQBRGpYII4QQQsqScqBXWcnJyUFkZAR27foNPXp8Vab7LgwFsFUYYwxpmYoAtpmzbQW3\npqC6DmYwN9ZFcnrxg54GdqzPjeBMTPy4UlW1q5midjXTj9pHUewsDTGkcwPsu/AMj8ITceVuFNpp\nwaA5QgghVU9Z56empaVh4sQxcHFphN69+5XpvgtDAWwVlp0r40poGRsUPvNURWvv7oA//w4vcr2F\nScVOuqCp/BMb7D3/DG1c7T+7KQMJIYRUvMOHTxS5bu7cH8v8eNbW1jh/vvhxJGWJAtgqLP/ofhND\n7Qxg/Vs6Qk9XAKGAj+xcGfh8QFcoQI5EBh4P8KyvXuUAbVHXwRS+ng4ICYuCTK7oAa9sQTghhBBS\n0SiArcLy1yNVd7ar8qYjFKBLc8eKbkaZ4fF46NaqNkLCFJMnpGXmUgBLCCGEaIiuXVZhyh5YHg8w\n1KffMuUlf7pGcTVuCSGEEFI4CmCrsKwcGQDAQFeo0cxS5OPoCPncTGPKQXSEEEIIUR8FsFVYdq5i\npg5lMEXKj4mBImVjy4lHSErLqeDWEEIIIZULBbBVmLIHVl+P0gfKm42FAXf7nwcxxWxJCCGEFC4m\nJho+Ps2QnZ1d6n0kJIjh41PyNLEA0LdvD1y79nepj1WWKICtwrKUPbC6FMCWtyGdG3C3k9OpB5YQ\nQoj24/F4ZV4/trQocqnCsnMohaCiVLM0ROvG1XDt4TvKgyWEEC0nlUuRlJ1SpvvMzpXi5LVwiBwt\n4VHfCrm6WUjJzICpjhmEfM3DM6lUirlzZwLg4ccfF2Lz5o34668QAEDr1j6YPHk6jIyMwRjD1q2b\ncOLEMfB4PHz1VV+V/Vy8eA4HDuxFTIxiqvmOHTtj2bLFKtucPRuEXbu248CBo9yyefP+h0aNGmPw\n4OEat700KICtwrgUAuqBrRDK2rsUwBJCiPaSyqVYcGMlErKTyn7n+sCjOOCPuLxFVvoW+KHlLI2C\nWJlMisWL5wMAlixZiUWLfkRychJ27z4EPl+AhQt/wMqVSzB//hIcP/4HQkIuIDBwJ8zNzbFgwfdc\nr2pMTDSWL1+M9es3w9nZBa9fh2P8+FHo1asHGjRozB2vbdsO+PnnpXj+/D/Ury9CRkY6bt68hunT\nZ5bJ06IOSiGowrgUAsqBrRDK2rtpWcVPlUsIIYQUZ8WKJXjx4jmWLPkZMpkUV66EYOLEqTAzM4eJ\niQkmT56OkJCLyMnJwcWL59C370BUr+4AQ0MjTJo0FYwxAICNjS327DkEZ2cXpKQkIzU1BSYmJoiL\ni1M5nqGhIby92yE4+AIA4MqVS3BxaQwbm/Kblp4ilyosm+uBpRSCiqDsgY2Kz8Bf96LRtkn1Cm4R\nIYSQDwn5QvzQclaZpxCcuBaOaw/eoUENM3z9pQvMzI2Qkly6FAKxOB5icRwePXoAB4eakEqlsLe3\n59bb2VUDYwxicTwSEhJUAs1q1fK+e/h8Pk6cOIagoOMwMDBEgwbOkEqlkMvlBY7ZpcsXWLNmBSZM\nmIwLF87Cz8+/FM9C6VEAW4Vl5iguXVMPbMWwNTfkbu+/+Aw+bvZakxxPCCEkj5AvhI2hVZnuU5IR\nA5ZjCCsDK9gYWsPS2Bi6uQaQyZjG+1q2bDWOHz+K5csXYceOfdDR0UVMTAxMTc0AKFID+Hw+zM3N\nYWNjg3fvorn7xsfn9a4GB59HSMgF7Nx5ABYWlgCAAQN6FXrMZs1aIDMzE//+ewsPH97HwoXLNW73\nx6AUgipMmXup7Akk5atBTTP4uCl+IedK5MjOlVVwiwghhJQX5Xdw/tkZS0tHRwcDBw6FQCDEzp2/\noUsXf2zevP59GkAqfv31F7Ru7Q0jI2N88UUPHDlyCG/fvkZWVhYCA3/l9pORkQGhUAihUAe5ubnY\nt28XoqOjIJVKCxxTKBSiY8fO2LBhLZo3bwVjY+OPfhyaoAC2CssLYHUruCVVE4/Hg3/LWtz/aZmU\nC6uNktJysP7ofYxeFoKle0PxMDyhoptECPkMKKcS/9jvYOWVO6FQiFmz5uDQoX3w9++OGjVqYvjw\ngRgwoBcsLCzx3Xc/AQC6du2GXr36YMqU8ejXrwecnOpy+/D37446deqiX78eGDFiIDIzM9Gz51d4\n+fJlocf28/sCL18+h59f1496DKVB146rqByJDDkSRY8f9cBWnPzPfVqmBLYWFdgYUqgrd6Nw57kY\nAPA8MgW7z/6HFRNbV3CrCCGVnbLT4mO+g+3tq+Ovv25x/7u5uSMk5Bp3e8aMgELvN2TICAwZMoL7\nf8SIMQAAPT09LFy4TGVbgYAHS0tjJCam4/DhEyrrbGxsYGxsjNatfUr9GEqLAtgqKn/pJpMyuHxB\nSsdQTwgBnweZnCGVemC1UlR8hsr/4pRsyOUMAgHlKxNCSocxVqnT+BhjCA9/iYMH96FLly+go1P+\nj4EC2Coq/+VqSiGoODweD8YGOkjJyMX6ow+wZoo3zIzo9dAm0QkZBZYt3vMvhAI+DPR10L2VI+o5\nmFdAywghlVVWjhQyuWKwVmX9Dp46dSLs7OywatWGCjk+BbBVVEZ2Xg+skQG9DSqSrYUBUjIUPyhu\nPo6FX7OaFdwioiSVyRGbmFVgeXhMWt42UhlmDvQoz2YRQio5lauglbAHlsfj4dSpCxXaBopcqqhc\niaKmm46QDwGfxvJVpFFfNMTcwBsAgJT0nApuDckvNjET8vcFvrs0r4matiaITcoEoEgtCHsWXyDF\ngBBCSpI/ZczEoHL2wFY0CmCrqJz3JZv0dGgSg4pWzdIQXiIbhP4XT9PKapnoBEWwqiPko1/7euDz\n8/JeX0anIOxZPFIychF44hG+7uFCdXwJIWpRftYL+DwY6NH3cGlQ15sa7t+/Dx+fvBF2Dx48QMOG\nDeHp6cn9BQYGAlAkNudf7unpiXHjxlVU04uUK1UGsPQW0AY0rax2ihYrelftLQ1VglcAcLAx4m7f\neByLiLj0cm0bIaTySkpTXG0zM9alH76lRD2wxWCM4ejRo1i2bJnKCLsnT56gffv22LRpU4H7vHnz\nBjweD6GhoeXZVI0pS2jpUg+sVlDmQFEPrHZRBrDV8wWrSkb6Olg4vjW+36IoWaPMYyaEkJLEJCh/\nHBf8bCHqoQC2GJs3b8bZs2cxceJEbN26lVv++PFjiESiQu/z5MmTItep68Oenk9BIlXkwOrpCNQq\nB6RsU3m0rTS0uX3qtE1ZeeBVdCoysiUwLadKBNr8vAEV3z7ll0wNG+MC5wmfz4N7AxsYG+ggPUuC\njGyJ1pTWqujnrSTa3D5tbhug3e2jtqkv5n16koONEQQCnta1L7+KaltJU+pSAFuMvn37YuLEibh5\n86bK8idPnkBPTw8dO3aEXC6Hv78/pk+fDl1dXTx+/BhpaWno1asX4uLi0KxZM8ydOxd2dnZqH9fc\n/NP/IuMLFT2vRoa6sLRUf/q38mjbx9Dm9hXXtnq1LLnbYS8S0LtD/fJoEkebnzegYtonk8nxLlHx\nJSOqbVXkeWJuoof0LAlk4Gl0LpUHel1LT5vbBmh3+6htJYtPyQYAONW0UPnc0Jb2Faa82xYfn1bs\negpgi2FjY1PocktLS7Rs2RIDBgyAWCzGtGnTsH79esyYMQN6enrw9PTEtGnToKuri8WLF2Pq1Kk4\ndOiQ2sdNTs6AXF78L4+PlZKqOHn4PCAxseTcPT6fB3Nzo3JpW2loc/vUaVstG0Pu9vO3SWq9JuXV\ntopUke2LFmdA+r4HwFRfUOA1UbbNSF/xMRorTi+3160k9LqWnja3DdDu9lHb1MMYQ8r7HFgdHkNi\nYrrWtC8s7F/MmzcbZ84Ec7fPnQvRirZ9iALYUsif+1qjRg2MHz8eq1evxowZMzB58mSVbWfPno2W\nLVtCLBbD2tparf3L5azErvOPlf2+CoGugK/RscqjbR9Dm9tXUtu6taqFoOtvEBWfXu6PQZufN6Bi\n2hf5flCWUMCDpalekcdXzmR36tobuNW1Rj0Hs3JrY0nodS09bW4boN3t+xzbxqRSSBITy6QNOblS\nGGWnAACMMlOQFcMgEABZWUbITskA38wSPGHFhGdyRXYhZDLG3VYGrdr2ulIAq6GUlBT8+uuvmDp1\nKoyMFN3p2dnZ0NfXB6DIm23bti1cXFwAADk5il9Zenp6FdPgIuS+H8Slp0uDuLRFNUtFL2xcUsHC\n+aT8RYsV6QPVLA2LrZVczSqv9/zC7QitCmAJIR+PSaUI/y4AUrG4zPY5QXlj/TG8/mCd0NoadRYt\nUzuIvXMnFBs3/oI3b16jWjV7TJ36LRo1csWmTevx118hAIDWrX0wefJ0GBkZY/v2QISHv8TChcsB\nAK9evcCIEYNw9ertMnls5YVqKGnIxMQEly5dwoYNGyCVSvHmzRts2bIFvXv3BgC8ffsWy5YtQ3Jy\nMtLS0rBkyRJ06tQJJiYmFdxyVVwVAiG9BbSFciBXRrYUUpm8gltDlFPIVrcuPu/ri1a1uHrKKRk0\nEQUhpPwkJSVi9uxv0adPf5w/fwUTJkzG3Lmz8OOPcxAR8Qa7dx/C3r1HkJCQgJUrl1R0c8sU9cCq\nSVmnjc/nY8uWLVi4cCFatmwJAwMDDBw4EMOHDwcAzJs3D4sXL4a/vz+kUinat2+PH3/8sSKbXijl\nTFxURkt75J8POyNLAjNj7eq1r2q4ElpWxQewRvo66OVTB4dCXlAZNEI+QzyhEHUWLSuzFIKnbxKx\n8+x/4IOHxeNagMfjQSAAzMyMkKJhCsG1a3+jZs2a8PfvDgBo08YHK1euxfTpk7Bly06YmZkDACZP\nno6hQ/thzhzti0dKiwJYNbRo0QLXr1/n/q9Tpw62b99e6LZGRkZYskT7f+Uoe2BpJi7tkX8+7LRM\nCmArklzOuDI3JfXAAvkmoqAAlpDPEk8ohK6tbZnsKyFKgmQdE5gb60LvfYUigYAHA0tjZOlpNgYi\nKSkR1taq7apRwxEymQz29vbcMju7amCMQSyOL5PHoA3o+nEVpZyJS4dSCLSGSgBLM3JVqPiULC6N\nQ50A1vT9a5eRJdGqUbqEEO3DTWJQwtUdddjY2EIsjlNZFhR0HDweDzExMXnHjIkGn8+HhYUF+Hw+\nJJK8H9spKSkf3Y6KQD2wVZRyIgNdmkpWa+gIBdDXFSA7V4bTN96iYb7asKR8KdMHBHwebC0MStxe\n2QPLANx7IYZHg8JL8GkiMTUbO848xaPwROgK+ch9f87aWxkiKS2HqyRSx94U/TrUhbOjxUcfkxDy\n6XHpSWr8OC5Jq1Zt8Msvq3D+/Bl07OiHGzf+waFD++Hv3x2bN6/H/PmLwePx8euvv6B1a28YGhqh\nZk1HHDt2GGKxGAYG+vj99/0f3Y6KQNFLFaUMYHWElEKgTfTfV4V4FpEMxqgnr6IoKxDYWRpCKCj5\nY9LKTJ+7feVedJm04e/7MXgUrsi5UwavgGIGH2XwCgDhMak4cvllmRyTEPLpKSvN2Knx47gkpqZm\nWLlyLY4e/R3dunXEb79twbJlqzBt2kzUqFETw4cPxIABvWBhYYnvvvsJANCunS9atGiNkSMHYtSo\nIWjVypsb56NQ1G3tQj2wVZTyC5GqEGiXAb71seXEI0ikciSn58LChPJgK0K0WFEDtnq+ElnFMTbQ\nQZN6Vrj3IgGx72fv+lhR73tp1FFWxySEfHqpmYoUsbIa59CokSu2bNlRYPmMGQGYMSOgwHKhUIi5\nc1UHc3355VcAAA8PL5w6daHAbW1E0UsVJaEcWK3UpJ4Vd/vw5RcV2JKqTdkDq8klvg4eDgCA2KQs\n7Dzz9KN60JPScnD7aVzJG76XkS3Fneefz+AMQj5XORIZVwUo/7gHojmKXqoo5QlEAax20dcVwlBP\ncWHk/osESiOoAHLGuEEWmgSwjnZ5tZ7/uhfNVTEojX8exBS5TjnhxYdCwqJKfTxCSPnIX6lEOYsf\nKR1KIaiC5HIG2fuR0rqUA6t1BnWqj9+CniAzR4rUTAk3wQEpHwkp2VyKTUk1YPMzN9bDzIHu+Png\nXQCKgRqlHaQRnS994OvuLtDXEyAnVwY5AxrWskBSWg7EKVmQSOX450EMnr5NxrsE9VMOCCEVIy0z\nr8JM/trfRHMUwFZByhJaAPXAaiOP+jYAngBQBDIUwJYvZfDI4ykGcWnCpbYlatoaIyIuHb/++RA8\nAH7Na2KAb3219xEcGokbj2MBAD2966BV42oFtrEw0YNTdVPu9tO3d5GQmoMtJx5hXA8XaPPAC0Kq\nMmUPLA+K3HlSehS9VEGSfCOaqYyW9jHUF3KDt6I1GMhDyoZyClk7C8NS/cBTBpaAoqzWuVsRSEjJ\nVuu+csZw9EpeRYE69qbFbK1Q09aYu33zcSzexqWr31hCSLlKSlN8FpgY6oDPpx+aH4OilypIJYCl\nFAKtpLz0HEOXhctdaQZw5denXV2YftBrHq3m65iYmlfftVurWnB1KrkWsImhLgKGeOYdi370EKK1\nlLnx9mVQA7aqoxSCKih/TUlKIdBO1a2M8Cg8ESFhUfiqrROM9OlSU3nJKzKuWfqAkrGBDnp518Hu\nc/9xy3acfgIbcwMM6yJCDRtFj2lWjhRbTjziemfTsyRIyVDkx/F4QI/WtT+ozVi0BjXNUcfeFOEx\nqdh68jHauBZMOyCEVKysHCnO344AoFl+PSkcRS9VUK4kLweW6sBqp/yXoW89Ub+cEvk4LH8Fgo/4\ngnGupTorVnJ6Lp5HpuBSvkoBYc/icf9lAqLEGYgSZ3DBKwDUtDGGro5mV0dq2OS1N5LSCAjROqHP\n8krd1alecnoQKR5FL1WQhHpgtV4zZ1vuNl0SLj/5p2j9mGkeq1kaYtYgd0zr64ahfg3Q8H1Amz+V\nQDlRgZ2FAb5o6ahy/296u2p8zH4d6hXYNyFEe0TH552XLV3symSfMTHR8PVtUyb70sTgwX1w924Y\nAGDYsAG4detGubeBopcqSDWFgHJgtRGfz0NHrxoAFKPSi6sLSsqOMvDjoeh6q+pqWMsSTepZw9ez\nBpo3VPwg+e9tMo5dfYWbj2Nx9uZbAIDI0QI92tTh7udgYwQbc82nmDQ20EGt97Vo6UcPIeXr8etE\nrNgfhlfRqYWuv/HoHc7eUpzzbZtUV2uKam2WP71pz55DaN68Zbm3gXJgqyDlLFw8AEIBjYLUVk72\npgh+f/vY1Vdo42pfoe2pCpSBn425gcaX8IvjVN2Mu33yn9cqM/A4VTeFno4Apka6SM3IRdfmjoXt\nQi3VrQ3xJjaNemAJKWMymRzpqTlFrl//vv7zxkN38cPIZgXWB115BeXEsTXM9ZGSlKWyXiDgAXIe\nUlKyYGCkC4GGAe727YE4fvwoeDw+Ro4ci169+iAyMgLr1q3Cgwf3YWJigl69+mDw4OEAgClTxqNa\nNXvcunUdIpELVqxYg8OHD+Dw4YNIS0tDw4YumD59FhwdawEATp8+jZ9/XoWkpCR06eIPqVTKHbtv\n3x6YMSMArVq1gY9PM0ybNhMHD+5FZmYmWrVqgzlzfoBQWPbhJgWwVZCyB1ZHh6/2IBFS/pq72OLp\n2yRcvR+DxNQcZOVIYaBHp+ynlDeAq2wHWNS0NcbY7i7YduoxgLxakC1c7ND6fZ3XecO88OZdGjxF\nNqU+jrLd1ANLSNmRyeQ4EHgLacWUw3NTXtDOkWP/lpsF1lcHUP39Ns+vvMbzK6+L3JeJmT4GjWuu\ndhArkeQiKSkJR46cwsuXL/B///cNqld3wMqVS+Dr2xlLlvyM6OhIzJo1HUZGRujZs4+iHc+f4cCB\nP8AYw/Hjf+DAgb34+edf4OhYG3v27MDMmVOxZ8/vePcuCnPnzsWKFWvg5uaB/ft3Izo6L5//wzgi\nLOw29uz5HWJxPCZOHIPLl4PRqVMXtR6LJip3HzYpFWUOLJXQ0m4CPh9ftXXi/v/z6qsKbM3n79Kd\nKFy9r0jVKG0FguK0blytQOHy3m2duEuJNuYGaOpsC/5H/KhUDjyLFmfi4Utx6RtLCKk0BAIBJk+e\nDh0dHTg7N4S/f3esXLkEGRkZGD/+GwiFQjg61sbgwcNx+vQp7n5t2vjA0NAIRkbGOHfuNPr3Hwwn\np3oQCoUYOXIsJBIJ7t4NQ3DwBfj4+KBp02YQCAQYOnQkrKysi2xPv36DYGBggJo1HeHq6obIyIhP\n8uNS8wgAACAASURBVLipO6cKUgawNIBL++WfhSvsuRiDOjWowNZ8vhhj2JOv7JX9JypxU9fBFPde\nJAAATI10YWWmX6b7r1XNhLsd9E84vu7esEz3T0hVJBDwMWhc80JTCCLj07Hhjwdq7cfEQAdzhnkV\n+iNVIODBzMwQKSmZGqcQmJtbQE9Pj/vfxsYG797FwMmpLvj8vP3Y2VVDfHxeVRsrKyvudnJyEuzt\n89LUeDwebG3tEB8fh8TEBNjZ2amsq1at6JQ2c/O8KixCoRCMMbUfiyYogK2ClGW0qISW9uPxeBjc\nqT72X3yOxJRs5OTKoKdLPedlTXlJX8nB5tMEsCO7OiPsuRgymRwutS0/qre1MJam+mhcxxIPwxOp\nlBYhZUgg4MPMouDgyoeRyVCGtUIBH1KZvMA2St8P8YRFEYNDBQIeLC2NAD6DTKZZwJeamorc3Fzo\n6io6PGJiYuDh4YUXL55DJpNBIBC8Xx4NS0urfPfM+/yxs6uGmJi8wcJyuRyxse9gaWkFGxtbvHz5\nTOWYYnE8KhpFMFUQ9cBWLp4NFDmRDMC7xMyKbcxn6sNBT/aWnyaANTPWQwcPB3RqWrPM82yV2rlX\nB6CoBSuTF/1lSkhl9ywiGT9uv4XRy0IQsPk6ftpxGy+iUsrt+P+9TcZvQU8AAPUczDCmW/FXPD7V\nOS+R5CIwcCNycnLw4ME9nD9/GpMmTYOlpSW2bt0EiUSCN29e48CBPfDz65rvnnmBsr9/dxw+fADh\n4S8hkUiwc+c28Hg8eHk1RadOfrhx4wauXfsbUqkUv/++H7Gx79RqG2OMemBJ2eEGcVEObKVgYaIH\nfV0BsnNliBZnqFwmJmUj/6AnUyPdSt3LrfySlMrkiE/KLlVJLkIqg9M33iDi/ZWGuGTFqP7g0EjU\nczAr7m5l5vztt9xtp+qmqG1f9Gdz73zjGcqatbUN5HKGL7/0g5WVNWbP/h7Ozg2xfPkarF27El9+\n2QX6+vro3bsf+vcfnO+eeT2wfn7+SE5OQkDADCQlJcHFpRHWrNkIPT19ODrWwtq1a7FkyVLExr5D\nmzY+aNjQRa228Xi8TzZYnALYKkhZRktXh3pgKwMej4fq1kZ4FZ2qUgiflJ2YfM/rvGFeFdiSj2dj\nbgABnweZnCFKnEEBLPlsxX1Qigoo3wocMQmKK2LVrY3Q07sODPSEmD3YA29i08HnATI5A48HmBrq\nwktkW8LeSsfevjqOHTsNAJg69VuVdQ4ONbBy5S+F3m/9+i0FlvXvP/iDADdPu3bt4OrqVWh6w+HD\nJ7jbV6/eVlm3cOHy4h/AR6AAtgrK5aoQUABbWVS3UgSwQdffoFurWtDX1fzUDf0vDqeuvYE4JQsZ\n2YoafjwAxka6SHs/jam1mT7mDPWChYleMXv6/Ci/9Do3rVnpAz6hgI9qVoaIis/Axj8eIHBWeyqX\nRz47T94kFZpSFRGXjl1nn2J4F9Ened8zxrD73H8I/S8e6VmK3Pl+7etyJQ5FjhYQOVoUtwtSRiiC\nqYIklEJQ6dR1yJs3WzmKXVMbjz3Em9g0LngFFBlQyuAVAMQp2TgU8rzU7ays8uq/ln35rIrg8D6N\nQCZniE8u2EtFSGV3KSxS5X+X2nlB45W70RAXU7P1Y8QkZOLK3WgueAVAaV0VhALYKkhCPbCVTv5Z\nuEpziUyTJPrX79I03n9llpaZi9T3VQg+1SCL8jasi4i7HS2mgX/k86O8fC9yNMekrxrjm69cMWuQ\nO7f+U6USfNjr617fGubGVeuKlbagCKYKUpbRoioElYdQwOdmbNL0g1kqk2PBzn/V3j4uKQvnb3+a\nwtPaKH+A96nqv5Y3UyNdONgaAwA2n3j4yUYBE1LeGGPYHvSEqxzSuWlNNBXZwkBPiIa1LFHtfZmq\nLScelfmxX0WnFqj56kNTfFcYimCqoFwqo1UpKYMrTQdyPYtIxpvYwntVBXxeoZe/jv/9qsoEPcrn\n08xIt8BMWZVZzfcBbK5EjoRi5nAnpDKJS87C3w/y6pXW/uDzy95KEcBm58qQmFq2aQSX7qimLfB5\nhX9+kvJBg7iqIJpKtnJS5jXGJmZBKpNzU5CWJH+P7ZDOipm8TI10oacjgL2VIarZmSLscQzAgND/\n4vH3gxhk5ciQnJ5bJQZz5eW/fh69r0qT+jTBjYeKWo3R4gxYl/GsX4RUhPyfZwFDPGFpqvq+HtZF\nhDvPFdMoR4kzCqwvi2Mb6QvxVVsn1LIzKdP9E81QF1wVlPu+jJYOldGqVJQDjOSM4eQ/r9W6j1Qm\nx/6LikFZbnWt0NGrBjp61UAzZ1u41bVCNStDWJrqw7OBDZrUs8YQvwZcZcAZG/9Bar4BXp+j9CwJ\ngkMVvSqfWwBrYaoPu/czB8VQ+TXyGQiPScX6o4pL+NWtjdCgpnmBbcyN9WD7vpLIluNlk0Zw4OJz\njF4WgvAYxZWsIZ0bwNezBuqWU71ZUjiKYKogiYQGcVVG1mZ55Z3Cnqk3jd/zyLxZaer8P3vvHR5H\nfe3/v2e2aItWZdVlybKqO7ZxN9h0EkiwCTgQIKEFMA4JIclNSIH8cgkQchPyDQk3mBIn5EIImGaK\ncYJtMO69W5as3rt2pe1tfn+MZnbXWknbi/a8nsePZ2dmZ452Z2fO53ze55yCtHH25EmRScSpZwA4\ndK5nnL0TH8/PMVrFz6OJ4JRHszYmQUSKz462i8vlhWPfz/JHZAQmqwODw6HJZ4aMNnx62DsnoHSc\ncxPRgzyYJIQ6cSUmLMtg7eXlAPhMWH/ahHo6Ltcvm+rXeR5ee5G4PNkjd56fz+IZkSk0Hkum5JAD\nS0weBL26Ni0Ft15ZOeZ+d3pU4Qj1HnZhzsEPb52HvMzJUW4v0SENbBJid1IENlFZUJmNtz+vh9PF\n4eO9zVh9aemY+zpdLrz+aS0AYHap1u8BizZNgWsXF+M/h1qx42g71lxaCo1KHhb74w0hk/mKBVPA\nspOv2L8Qga3vGEJj55BfUXiCEHj78zocONsNCctizcpS1LfrceBsNzI1KbhxZRmO1PSgplWHFJkE\nd1xThbnlWRGzpbFzCA0dQwCAmy8rh0oxtvuiTVMgK12Bfr0F7b1GzJqmDeqcbT0G/M8/j3mtm1Ma\nub+RCAzyYJIQO5XRSlhyM90ygiMTyAjq24fE5bIAHRfP6fTDNf7JFRKRyZrAJVBe6P4edx7viKEl\nRKJhtjqwZX8L+oes6NGZ8c9Pa7HjaDuMFgfaeo14/t1T2HemGwNDVnT2m7DtcNvEBw0Bz+u3zI8p\n/MIgq7Z48sVJ79/MvApyXuMJ8mCSELGVrIwkBImGhGVx06oyAHwhb5dr7FJXntPGX1leEtB5Lp6e\n4/M4kwmzhz5usnTgupD8LJU4GJnschAivAiNAgQ8O/j5ItL3CeH4lUXpfk3hC7/pUOwS3iuTsrjv\nq7Nw31dnBX0sIvyQA5uEiK1k/SzDRMQXCyqzAfAVBnr1Y7cJFSIPM0syAx6ssAyDqxYWAQC2H2nD\nd//fF/jR/+7BM68fhdk6/oMsUXhnZ724XDhJGhj4YtU8vtB6R58xaWr7EqHx3hcNePIf/jc/Afj6\nrD96fg9O1feF3R6O40RnctW8Qr/eI8yqnG/To2WMOtjjsemzOpxtGgQA3HplBVbMyYdaMXnqRE8G\nyINJMpwuF5wjUTs5ldFKSPK0KkhG9JrjRRdCnR6vLHJPPwvZvLWtOpys7w/qePHGuRaduJymnpwa\nX8D9/RstjklfFo0IHbvDiY/2NYmvZ5dqoVGN7bgtmp4j1qTu01uwZU9j2G3SG20wjQyc/b2fecpn\n9p/pDuh8FpsDnxxoEV9PxgolkwFK4koybHZ35jppYBMTqYRFbqYSnf0mdPSZsGCMZNxQHdhFM3Lx\npc4h/PugdwmZUDRl8YTgzN24shQMM/kSuAQ82+N29BuRTn3biXHoGjBDCNTfuLIUVyyYApPFgdo2\nHRgAHCD+L5dKcFF5Fnp0Zrzw3mn06MxBRTsnwnOgLnTamojCbDW0aSkYGLJiyBTYwM1TPvHgmtmY\nmkfdtuIRcmCTDEE+AFAnrkSmMFuNzn4T3tlZj2sXF4kVBlwchw3vn0Zdux46A3/TDnZ6nGUYfHlp\nySgH9sM9TcjNUOKSBO4B7nJxMJrtAPyrj5vIKFOk4oO8o8+EmSXBZWQTk5/NuxuxeTcfQZXLWHx1\nxTSwDAONSo487diOY0meBrdcWYHn3z2Flq5h/Pgve/Htr8xEZdHoRgPB8OIHfEOCrHQFFHL/3ZYF\nlTnYfqQNwya7X/t3D5rwl/dOiy1oVSnSSVleb7JAIbgkw9OBpQhs4uI5pSXotACgtduAwzW9ovPK\nNyYIXt+ZppIhJ0M5av3Wgy0+9k4cjBY7BDXoeNOjkwUxI3uSJuQRoeN0ufDxvibxdXlhOtgAZiZK\nC9JEaVPPoBmfH2uf4B3+MWyyiQ5oXuboe9F4CL/tYT8jsPtOd6G1xyAmrFUUpU/q2ZlEhyKwSYbQ\nRhYgDWwic9XCIry5ow4AP901r4JfLzgoCrkEt19ThWn5GqhCSDxgGAY/uW0BzrfpMLMkE+/sbMDu\nU53oHmmkIGET8xry1IJqlJNX/ypQmK3G6caBSSP/IMJPr84Ch5Mf1n11RQmuWVQc0PszNSn45d2L\n8Od3T6NPZx5VxSBYPAdd91w3M6D3CvWr/XVghXNVFafjsvlTMLeMymbFM+TA+snJkyfx0EMPYdeu\nXQCAU6dO4ZZbboFS6R4RPvjgg3jggQfAcRz+8Ic/4O2334bT6cSaNWvws5/9DGwcPOy9I7AkIUhU\npBIWCyqzcex8H976rA7vftEAgK9MAPAOy6VhmuLPSlcgKz0fAHDdsqnYfaoTDieHHz6/Z1R0Qi5l\nccc1VZhXkR2Wc0eKLfubxeWkiMCO6KDbe8mBJXwjOG8SlsHqS0rFxKxAmFaQhnu+Ogu/e+0IOvqN\ncHFcQFFcXwjNRjI1KchKVwT0XncEdnwJQZ/ejD+/cwqtPQYAwNyyLCyfnR+EtUQ0ib1HFedwHIe3\n334b9957LxwOd/mg6upqXH755Th69Kj474EHHgAAvP7669i5cyc+/PBDbNmyBUePHsXGjRtj9Sd4\nYfN0YKmMVkJT4VElwOF0ic4rELms2dxMpZixP2yyY8ho8/rXp7dg+5HIFjQPB+fb9OJyMtRDFiQE\nBrPd72gUkVwIDmy+VhWU8ypQPJLwZLO70K+3hM2uYLT8GWo+YdHmcI173e8/0y06rwBQMSU82l0i\nslAEdgI2bNiArVu3Yv369Xj55ZfF9WfPnsX06dN9vmfz5s24++67kZ3NR6HWrVuH5557Dvfdd59f\n54xkS0uny+3kKBUSSCT+nUuwKV7bbcazfZGy7ctLp6KhYwhHLuiUVVqgwdoryv36bgO1TSKR4PG7\nFqG2VTdq27mWQew60YnOfpPf11W47fMHm92J/pEkjbuvmxG0rYl0zRV56KC7BkzI0MS2EkEifXbx\nRqTsExpdTMlRh/SbmJKTCoYBOI6/1vL9rBowtl2moO2acsF1X1Kk9fm5dQ645Q4//ebFmFmSGaS1\nwRPP112sbHM6x69bTQ7sBKxduxbr16/HgQMHvNZXV1cjJSUFV111FVwuF6677jo88sgjkMvlaGxs\nREVFhbjvtGnT0Njof228jIzIFVVP6eJHmSwD5GRrAhaoR9K2cBDP9kXCttu/PHOUA3vHdTNRkBdY\nBDYQ27TaVMwozxm1vuR8L3ad6ET/kAUPP7cLCrkU37tlPuZVjt43UML52TV26MUyQSsvLoZ2nOxq\nf0iEa04Lvj/8wJAFv3ntKP70o8tRWhj72pYZGWq8+3kd3v+8Dq5xmizkZ6nx3/cvh1oZPblHPH+v\nQHjt6xkwYd9IrdTy4kxotakhHa8gS42OPr7d7DvPfDXoRKiX3j+F6mY+SbWyRBuwXVrw0oPBYSte\neP8Mll5UNOpze3NbLfad7gIAfOOa6bhkQWDa33ATz9ddtG3r7R2/JBs5sBOQk+P74avVarFs2TLc\neuut6Ovrw/e//338+c9/xo9+9COYzWYoFG6tjlKphMvlgs1mg1w+ccKITmcct0VoKAwM8iNNmVSC\nwUH/9XAsyyAjQx1R20Ihnu2LpG0aOQuVQgrTSNasVMIgO1WOgQHDBO8Mv22ZKinkMhY2uwt6gw16\n2PD+Z+dRnBVY5nCk7BOoa+YbMUglDFjO6fdnFQ3bwoUv2yqmpOHgSOT5oy/qcce1VTG3b3DQgE3b\namEwj69R1Bts+OxQM1bMibwuMZ6/VyAy9v17b5O4XJytCvk3ka9VoqPPCLvDhbqm/oC1qwBgsjjw\n4a4G8XVhpiIou3IyFBgctqJfb4HBZIPDZhc/N47j8Pb2WnHf4mxl0H97qMTzdRevtpEDGyQvvPCC\nuFxUVIR169bhD3/4A370ox9BoVDAarWK281mM6RSqV/OK8DXqJwodB4sVhtfhUAmZYM6RyRtCwfx\nbF8kbJNKWDx+5yI0dg4B4JN10lTygM8TDtuUcil+eddiNHcN41RDP/af7UZ7nzEsf3M4Pzv9SIkx\njUoOzgU4EdpxE+Wau/NLM1DdPIhhkz1s30uo6A020Xm9aVUZstJGOzof7m1C14AJ7b2GqNocz98r\nEF772kaS+1KVMkwvzgj5uPdcPxNHa/mE57YeAzKCaJ7R5qFJ/f7ai1CQpQ7Krnuun4mfvbgfANDa\nY0Bemvv+2K+3wDLyTPzGVRWYMTUz5t95PF938WYbObBBoNfr8Ze//AUPP/ww1Go+pG6xWMSoa3l5\nORoaGjB37lwAQGNjI8rLy2NmrydCGS0qoTV5yNOqxi0yHk0Ks9UozFZDkSLB/rPd6Ow34eHndmFO\nmRb3f3VWXNRUFDKSk6H6gCcqhRSrLynF65/W4kzjAH7+0n5896a5QXdqC5bPjrbhg71NcHGA0yOp\n9KqFRVCmjH4knW0eQNeACVsPtODzYx0AeD3kD74+LykS8KKBkCh1xYIpYfmNpqnlyMlQoldnRke/\nEXOCKEcllHxLVcpCqmqSl6mCRiXDsMmOn/x5F568f6m7LvLIORgAl88Pz99ORA/yYoJAo9Hgs88+\nw/PPPw+Hw4Hm5ma8+OKLuOmmmwAAq1evxiuvvILu7m709fXhpZdewpo1a2JsNY9QRou6cBGRpLQg\nDdKRhAuD2Y79Z7rRqzPH2CoeIRtZqBGZTFR6VK7oGjBh7+nOqNvw74Ot0BtsGPbob1+Uo/bpvAIQ\nuzk5nBwMZjsMZjtqWnSiNpIIDRfHiYlS4RzMFGbzg+qOvuDqwYbaCtsTz45ge065r3nhHDkZShoM\nJSAUgQ0AYXTGsixefPFF/PrXv8ayZcugVCrxjW98A3feeScA4Pbbb0dfXx/Wrl0Lm82GNWvW4J57\n7oml6SJCGS3qwkVEkozUFPzyrsVo7TXgrx9Viw/J3MzYR4qTNQILAFPzNHjszoX47T+Pwe5woSNM\nxeb9xWp3igOZW66uglYtA8cB06eOXbbo0rkF0GpSRKnBps/rMThsRUe/Me7rDScCA0NWWO38zFxB\niBUDPCnMUuNEXX/Q3d8ExzccDuy9189ATcsgjBaHlz3hdJKJ6EMOrJ8sXboU+/btE1+XlpaOWduV\nZVk88sgjeOSRR6Jlnt/YyYElokRRbiqKclPx4R5ew/jc2yfx828u9KpfG23MVgf2n+WzrZOhA5cv\nygrTcdOqMry5ow7HRxph3HJFxcRvHAeXi8Of3z0JjgMevvkiOF0c/rjpBDQqGdatng2r3Yln3zyO\njj6jqDj+8vJpkLicE2rqWJbxmoI+dK4Hg8NWvPdFIz491Irbrq6ifvVB8vG+Zryzsx4AwDB8Ddhw\nITiFde16NHToURZA1Yu2XgNONfDJloVhcKpVChnWrCzFPz89j5P1/fjeH78AAFH/KkSLicSCvJgk\nwzYy0paTA0tEiapid3Rt18mOGFoC8aEIAMW5yRt18ZxS/c/BVq8OfcFwvk2PE3X9OFnfj9o2HY6d\n70V18yAOVvega8CE040DqG8fgtnK33+y0xXIDiIzHXBfTw6nCzqDLSEaZ8QjHMdh6wF3R7pp+Wlh\nnUb3bKay62RgUhWhrBUAVBaHp6mAcN1wHGC0OGC0OOAcyaj3/D0QiQNFYJMMt4SA9D5EdLjtqkrU\nturQNWAKejoxXHief8Wc8LTaTUTKCtNw/w2z8PKHZ+HiOHQPmlCUE3ztzz69W9/cr7d4lcXy/N5z\nMpS4+bIyTJ+aEXTCzFULi1CYrcaJuj7sONoe82sqURky2mAcKb/3pSXFuH5ZSViPn6dVYcbUTJxr\nGRSbJPiLkFxVnJuKkpHOXqFSWpCG3z+8CvUt/fDo54OMVLnXIJtIHMiBTTLcSVwUgSWiQ4pcgq8s\nL8FfP65GfccQ6tr1EWt1Ox67Tnbggz1NAIBls/PisuNNNFk6Mw9//+Qc7A4XNn5cjV/evTjgY5xt\nGsDv/3Xca92rW2sAj9JkGzafEWtHlhZosGRmXkid2qQSFnPLsqCUS7HjaDsMZjv++2+H8Is7F4bU\nAnWyY7TY8ey/jqOsMA05GUq8uaNO3Lb6ktIxk+hCYdnsPJxrGURtqx6NnUMoLUib8D0dfUacqONn\nSi6ZG966v9NLMpGjkcVVKSgieOjXnmTYR8poyaiMFhFFPHWvuwOcTgwX2w67p5qraMoQLMsgc6Q+\nZ2uPAQ5n4DKCZ988Pmqdw+mCw8NBsDtc4lRtOCNdU3LU4kC8uXsYDR1DYTv2ZGTb4TY0dQ1jx9F2\nbN7t7gxZnJsaEecV8K564Zn9Px77znjIB+h3SowDRWCTDBuV0SJiQF6mCrOmZeJsU+DTieHA6XKJ\npYIun1+IVfMKo25DPHL/DbPw1P8dgdPFoVdnRkFWYLpgz+6vpQVpuH7ZVNFZlbAMOECMvqoVMswo\nCZ9DokyR4olvL8FPR4rUd/YbaSp4HPr0FnFZSF66amERblgxLWLnLMhSo6o4A7WtOr/LaQmSkCnZ\nar8itkTyQg5skkFVCIhYsWxWHs42DfKZ6BwX1aLhH+1tFiOMVy8qTnr5gMC0Ag2kEgYOJ4dfvHwA\nv31wOXIyJm79y3Ec/ve9017rrrx4ChZOj241gNxMFWZMzcC5Fh1e3VqDSy8qgISle5snX5zowN8/\nOedz2+pLpkW8HvLy2Xm8A+vnwFUYaK4Is3yAmHzQLz3JEB1Y0ooRUUYoq2O0ODBksk+wd3g5fr5P\nXM7NnNhBSxYkLIuKKe6o5cHqbr/e16sz42htr9e6OaXasNrmL55RuqbO4ZjYEM+M5bwWZKmi0sxD\niOoPGW1eyX2+4DhOrBOcFwc1o4n4hiKwSYYQhZJKKQJFRBfP6emOPiPS1dGpw8o3UeCjP7dcUUGJ\nPhfw0E1z8MifdsPpcndkmgjP6eDv3jQXBVkqpAfR7z4cfG1VGT450AKAlxGUxyBBMF5xurx1zSsv\nKsC8imy4OC5q+lLPJgEdfePLPMxWpyhBSYvS/YFIXOhOnmQIyRX0ECeijTJFikwN7+T85b1TUTtv\nv94iar9jFSWMZ9QKGa5fzpdQ2nu6C/c+swMfeCT5eFLXpsejG/bhT++cBMBH8S6uyglYOxtOpBJW\nTBbauOUcTtT1TfCO5MBqc+KRP+32Wnf98hJcXJWDRdNzozaATFXKRGf0hfdPj7uv0OYZSM5OeURg\nkBeTZIgRWHJgiRggTAsaLQ6vh1UkEZJCGIavTUmMZvoFUbH3dzeC40aXGvrL+6fEKV4gflpwetrx\n3NsnY2hJ/LD3TJdY5xXgI5o56bGRz+SO6Kr1RhtMlrFlBMMe0qJk7ZRH+A95MUmG24ElCQERfe77\n6kxx2d+s5FARHNi8TBUlL47BzJJMfOvaKq91euPoAYbO4L3unutmRNQufymMYQQ4XtEbrF6v/7+7\nF8csefH+G2aJyx3jyFSEQa2EZaBMoUo5xPjQ3TzJcJKEgIgh2jSFOHXpb1ZyKFjtTmz6nO/1XhCG\nnuqTFYZhsGKud2eyHz6/B4PDbiforx+f9doulbBQKeJjmleb5q2//d0bx8TyXcnI3tNdYtMOAUG+\nEwuy0xVIVfLXynid0177tBYALx+IZpUSIjEhLybJsJOEgIgxwnRvNFqA1rbqxGWqETo+KTLJqLqb\nx8/zlQaGTTbsOdXltW3FnPgpczR9aqbX6+rmwagMkOKVz462eb2+45qqMfaMDgzDoDCbH0CO9bt3\nOF3Qj0T4I9VYgZhc0FWSZDhHHFgJ1cEkYkRhtpp3MKLgwHqe45pFxRE/X6Lzg1vmoblrWOywJUz3\nen6O62+cA4VcMko3G0tSlTL89sHl6B4w4Q9vnQDA21yUkxpjy6IPx3Gi875kZi6uWliE8sLYV2Yo\nzFKjtlU/ZiOTnkEzXCO663WrZ0fTNCJBIQc2yRCqEJAWkIgVQgQ20h25bHan2O99fkU2NS/wg1Sl\nDLNLtbh6URG2HW7D9iNt2HWiQ6zikJEqx+IZ0W1W4C85GUrkZCgxNS8VLd0GbNh8Botm5IKdZFPR\nZxoH8Le/7MWaS6ZhxRy37MPhdOF3bxzD+Ta9uO7LS6diWn58dLMSfvenGgZw7zM7cNXCIjEy3D1g\nwmOvHADAP5uSceBBBA55MUkGVSEgYo2QcKMz2GAcJyM5VOra3Q9yz57sxMR4RlcF5xVIjCYQxblu\n56d7IDqJgtHkj2+dQO+gGa98VO21/lRDv5fzCsRXctuFEp7tR9rExjqHzvW49yvKoMEm4RfkxSQZ\nQgSWJARErBC0cADQGcFKBJ7T3tcuIflAIFxclQOFfHQW+AM3xP/U7jevnS4uR0OmEm08BxSepc50\nw95VB25cWQq5LH4y+afmaVBW6B0NFgYYguRBIZfgO1+bE3XbiMSEJARJhMvFiRojkhAQsUKjkkOj\nkmHYZEdHvxEVQUZHXRyH5985hVMN/V7rK4rScencAvxz23kAwNyyLEhYut4DgWEYrJiTjx1HDMof\nhwAAIABJREFU273Wa9MUMbLIf1JkEhTlqNHWa8T/vnca//WN+Zg1LbEbWHAchw2bz3hFKgHg0Q37\ncPNl5Xhj+3kMXVD2LB6bdiyZmYuGjiHx9S83HvTa/qUlUymBi/AbuqsnEYJ8AAA90ImYIujh2nuD\nj5D1DppxvK4PThfn9a+mRYf/+0+NuN+MqfGTbJRIXJjZH6/aV194Njb40yRobKAz2EY5rwDQp7fg\nxQ/OjHJe1QoppmTHn450enHmuNvpt0oEAg11kghBPgBQIwMithRmqVHTogup1JEwPSxhGTz0tblg\nGODlD8/CZHXAZucHa8tm5+FLS6aGxeZkY9H0HDx250LYHC44nC5UFiWOc+HZ2tZzyj1RuTDh8Vf3\nL8OvXt7vc98f3joPhVlqpPiQgMSaknwNnrh3CYbNNvzujeOjtl84aCKI8SAHNolwutw3cilJCIgY\nIkTIzjQOoKlrKKBM6ZoWHf73vVMwmvkEsNxMJeZXZgMApuSovRJZLp8/hRJCgoRhGJTFQfmlYLhw\nGvps00BCyggaOobw5D8Oj1q/cEYe5pRpcbphwGv9tHwN5pRmRcu8oCgaSbKbMTUT51oGxfUleZpY\nmUQkKOTFJBF2j0iElB7qRAzxzHI/eHb01Oh47DvTBYPZDmE+YYZH1MZzWZUi9cpIJ5KHC+UO+850\nx8iS0Hjlo7Oj1q2aXwiAb/97IReVx7fz6smNK0u9Xn/9ivIYWUIkKhSBTSKcLk8JAY1diNhRlJuK\nyqJ0nG/TBywjEKQDS2bm4rL5haiY4naGV186DbOmZcJqd6IoJ5USQpKUTE0Kfvvgcvz142rUtuoS\nthpBl0cZsJwMJe6/YZaYyX/9shKUF6bDYnNAIZeC44CKovio+eoPVcUZeOLbS6BKkcJkcYiRWYLw\nF7q7JxFeSVzkwBIxZtH0XJxv0+NkfT/+/sk53H3djHH3f+nDM9jvEUmbU5aFmSXe08ISliUdHQGA\nd/gum1+I2lYdGjuH8L/vnsJ3vjYHTAI0Nvj7J+fwxYkOr3UXlWehYko6JCP5CyzLJHx7ZKFhgTZx\n/G4ijiAvJonwlBDIKImLiDGemeJfnOiAze4cc1+D2e7lvAJAFTUnICbA8xo7UtsLncE2zt7xgc3u\nHOW8AsCVF0+JgTUEEb9QBDaJ8JQQUASWiDWezgXAT5dOHSOR48Ip4MfvWoTcTJXPfQlCIF/rfY10\n9huRqUmJkTX+0XVB97DvfG0OinNSkael650gPCEHNonwlBBQGS0i1mSkyr1eb9h8Bk8/sMxrXXPX\nMO56avuo95YW0JwjMTEpF3Si+v2/3KWbLplbgG9/ZWa0TRqX9l4DfvW3Q17rFlblJITsgSCiDYXh\nkgjvOrD01ROxhWEYLBgpfwUAPYNmL5kLAPxtS/WFb8Oy2XkRt42YPKyaV+hz/Z5TnbDYHFG2Znwu\nbFZwMTmvBDEmFIFNIrw7cdFNkYg961bPxrHzfXjxgzNwcRy6B0xe2cie06mpShl+cMs8MfGDIPzh\nm9dW4bL5hXhx8xn06Mxe2zr7TSjJ52UrDAAOAMu5225zI623o+VECp3pMlLl+N7NF2HKBTIbgiDc\nkAObRAgOrFTC0KieiAvkMgkWz8jFxi3VsDtc+OXGg3jyvqWj9LEA39udpANEoEglLEoL0jCnTIsd\nR9u9tv361dFNAi4kO12BX9y5COlq+YT7hsLrn9biSG0vAOCqhUV0rRPEBNA8chLhHJEQkHyAiCdY\nlvFKtvnX9vMA+Gxsi9VdmeDLS6klLBE8Vy0sAsPwnds8pSsT0ae34FRDfwQt47sk7jzurjwwg0rB\nEcSEUAQ2ibCLEVhyYIn4wrPhQK/ODBfHoXPAJHbb+sntC8asUEAQ/lCQpcYz65ZDrZBCJmXx0P/7\nwisvYDzaew1wubiItCXmOA49g2Zxhuy7N81F+RQqEUcQE0EObBLh9JAQEEQ84XlNdg+acd9vPxNf\nK+QSzJyWCc7l650E4T85GUpxeXapFifq/Ius/vtgK7YdbsPay8vxpSXhmwno1Znx9P8dgd7I16eV\nsExCtYMliFhCobgkwkESAiJO+drKsjG3ZWcowZJmmwgzqy8pBQCUFmjEKfvrl/HO6cIZuaNamzpd\nnM8GA6Fw7Hyv6LwCfHtVuj8ThH9QBDaJcJCEgIhTyqek43s3z8Wf3zk1atvP7loSA4uIyU5pQRqe\nWbcMaWo5GIaBbtiKPK0Kq+YXomJaNvr6hqE32GCxOXGyvh/v7KxHz6AZFpsDKTJJyImwDqdLrDpQ\nWZSOm1aVYRolbhGE35ADm0QIEVgJSQiIOGRume+p0ym5qdDrjD63EUQoeHZzEzpdFWSpkSKTQJki\nhVzKN0KQy1i8s7MeTheH7/zhC+RrVXj8rkVe2u1AeO+LBny0t0nUeFcWpWM6JW4RREBQKC6JECKw\nMorAEnGIVMJiZon3Q/yi8iyqWUzEnJx0JbLTFeLrrgETalp0QR9v54kOeKaPzSgh55UgAoUisEmE\n4MBSBJaIV76/9iL0DJohl7HgOCA7UzHxmwgiwrAsg1/dsxgtPQZs/LgafXoL2noNmFOmFSVZHMfB\n6eIglbBwOF2QsAy4kfUSll/HsgyGjDYMjehev3ltFWaWZKIgixoWEESgkAObRFASFxHvyGUSr+QZ\nGmwR8YJKIcOMqZmYmqdBn96Cd79owObdjfjmtVVYMacAT/3jMDr6TagsSkdtqw6F2WpYbE4MGW0o\nK0xDdfPgqGMumZmHVKUsBn8NQSQ+5MkkEZTERRAEERqzprmn+50uDntPd6GpawgtPQY4nC5UNw/C\n6eLQ2mNAr84Mq93p03mdmptKzitBhABFYP3g5MmTeOihh7Br1y6v9S6XC3fffTfmzJmDn/zkJwD4\n6aKFCxd67bdo0SK89NJLUbN3LBxUB5YgCCIkrlgwBRVT0nG4pgcf7W1GR58RrT2GgI7x0zsuRgk1\n5iCIkCAHdhw4jsM777yDZ555BjLZ6JHyxo0bcfjwYcydO1dc19zcDIZhcOTIkWia6heihIClCCxB\nEEQwMAyDqXkaOJwufLS3GUaLA6/9p9bv90tYBlXFGRG0kCCSA3Jgx2HDhg3YunUr1q9fj5dfftlr\nW01NDd577z1cc8014Dh3Pml1dTWmT58e0nkj0a4QAFwjdkqlbMDaQsGmSNkWKvFsH9kWPPFsH9kW\nPPFsn7+2Tc3XIE0tFxOy/OWB1bNC0nZPhs8uFsSzbUB82xcr25wTtHomB3Yc1q5di/Xr1+PAgQNe\n6202Gx599FE8+eSTeOutt7y2nT17FsPDw7jxxhvR09ODxYsX4+c//zny8vL8Pm9GRmQyUtkR7Wuq\nSg6tNnWCvX0TKdvCRTzbR7YFTzzbR7YFTzzb549tG356FVq6hgEAihQJstKUaO81oDhPg+4BI2RS\nCTQqGbr6TSjJ12DIZENhdnD33mDsixVkW/DEs33Rtq23d3jc7eTAjkNOTo7P9c8++yxWrlyJBQsW\n4K233vLqyJKSkoKLL74Y3//+9yGXy/HUU0/h4Ycfxptvvun3eXU6I1yu8UcewWAy8ZECp9OJgYHA\nNFssyyAjQx0x20Ilnu0j24Innu0j24Innu0L1LaCjBRx2WW3oyAjBQ6rDVnqEdmZ04mCjBTYLDYo\nWAR87w3VvmhCtgVPPNsXr7aRAxsg+/fvx4EDB7Bp0yYAvE7WU0Lw3e9+12v/Rx99FMuWLUNfXx+y\ns7P9OofLxU0YOg8G+0gSF8swQR8/UraFi3i2j2wLnni2j2wLnni2L55tA+LbPrIteOLZvnizjRzY\nANmyZQtaWlqwYsUKAIDZbAbLsmhsbMQLL7yADRs2YNWqVZg1axYAwGq1AuAjs7GG6sASBEEQBDEZ\nIE8mQJ544gkcPXoUhw4dwqFDh3DDDTfgW9/6Fl544QUAQEtLC5555hnodDoMDw/j6aefxtVXXw2N\nJvYlU6gOLEEQBEEQkwHyZPzEU+c6Hr/4xS9QVFSE6667DldeeSXkcjmeeeaZCFvnH1QHliAIgiCI\nyQBJCPxg6dKl2Ldvn89tv/nNb7xeq9VqPP3009EwK2CcJCEgCIIgCGISQJ5MEmEnCQFBEARBEJMA\n8mSSCHcEliQEBEEQBEEkLuTAJhGUxEUQBEEQxGSAPJkkgpK4CIIgCIKYDJADm0QIdWAlFIElCIIg\nCCKBIU8miRAisDJyYAmCIAiCSGDIk0kiBAdWQhICgiAIgiASGHJgkwSO46iVLEEQBEEQkwLyZJIE\np4sTl8mBJQiCIAgikSFPJkkQ5AMAVSEgCIIgCCKxIQc2SRDkAwBFYAmCIAiCSGzIk0kSnF4RWPra\nCYIgCIJIXMiTSRK8I7AkISAIgiAIInEhBzZJcFAEliAIgiCISQJ5MkmCpwMrYSkCSxAEQRBEdHA4\nXLDbnGE9pjSsRyPiFodHGS2ZlMYtBEEQBEFEHsOQBW/+9TBcThduuG0e8qekh+W45MAmCU6KwBIE\nQRAEEWU6WvWwWR0A+EhsuKBQXJLgmcQlYelrJwiCIAgi8lhMdgCATC5BUUlm2I5LnkyS4NmJS0JV\nCAiCIAiCiAJmkw0AkJWjDutxyYFNEpwukhAQBEEQBBFdzCMRWIVKHtbjkgObJDhHJAQsw4BhyIEl\nCIIgCCLyGIasAAClShbW45IDmyQIEgKWoq8EQRAEQUSBYb0FrY0DAMiBJYLENeLAUhcugiAIgiCi\nQWvToLhcODUjrMcmBzZJECKwkdS/ulwc7DYnnGEsk0EQBEEQRGIy2GcEAGRoVSgu1Yb12FQHNkkQ\nOnFFyoF1Ol3418sHMaSzQCqT4K7vLoc8hS4vgiAIgkhWBvtMAIApJeGNvgIUgU0axAisJDJf+UCv\nEUM6CwDAYXeiub4/IuchCIIgCCIxGOznI7CZWaqwH5sc2CQh0hKCzja91+v+HiNsVofYfYMgCIIg\niOTBZnWIFQgys8NbAxYgCUHS4IyghOD82W7s2Vbnte7Y/hYc298CAFj1pSrMXlAY9vMSBEEQBBGf\nfPbxOXE5M5sisESQRFJC0FjbN+72L/5dG/ZzEgRBEAQRv/R2G8RllTq8TQwAcmCTBlcEJQQdrbx8\nYPaCQtz7yKVYfOm0UftYLQ4xCkwQBEEQRHgQpHoOuxNWiwP6QTNMRltMJXx2mxPDej4v5vqvz41I\nAyWSECQJkdLAnj/bA7OR73NcVJqJFIUUeVPSRu238Y+7oUlX4LYHlkQskYwgCIIgkomTh9qwZ3sd\nll5WhoNfNILjOK/tX/rabJRNz4m6XZ9/UiMuZ+WkRuQc5EkkCZFyYJvq3PKBgiK+TEZ+UToUytEd\nN4b1FgyM1IQjCIIgCCI09mzn808O7GwY5bwCwH/ePxNtkwAAvV3D4rJaE375ADCJI7A1NTX4/e9/\nj/r6ethsNq9tDMNg165dMbIsNoh1YMPUicvl4jCkM6O/h9e4zF9aLLaJk8kkuPOh5XA6Xfjr/9vt\n9T5dvxk5eZqw2EAQBEEQxNhwHC/hAwCZXAK7zQkASFFEzv1z2J0Y0pkBANfdPCci8gFgEjuwjz76\nKBQKBe6//36kpKR4bYvUhxnPuCOwoQfdOY7Du/846jXCyi3wdkolUhYS6ehzCTXhCIIgCIIInqP7\nmv3ab+Mfd49at+b2+WFv7SqgGzBDCAZrcyMjHwAmsQPb1NSETZs2obKyMtamxAVOZ/gkBMZhm5fz\nmqKQoqDY9w9h+ZXl2LejXnwtdOUgCIIgCCJ42poGfa5fcVU59m6v97lNYNen53HrtxdHwiwxUCWV\nsdCkpUywd/BMWgd2yZIlqK6uJgd2BKcrfBKC/l53aYxv3LcYqekKyGQSn/vOX1KM2fMLcXRfM47u\na0F78yCsFjtSFKM1sgRBEARBjI/D4YLD7kR7sw4AsPyKcpRNz4ZMLoFUKoFMLsHs+YWwWZ149fm9\nPo8x0GuExWxHikIKjuOrBoRLViAEqjKz1BGd8Z60DuyvfvUrrF27Ftu3b0dxcTHYkalzjuPAMAx+\n+MMfxtjC6CKU0WJDvJg4jsOWTacAAJp0hV/dNWRyCXIL+MoEVosDG/+4B1evnoXKWbkh2UIQBEEQ\nyYTT4cLrG/bDZHDn9uQWapCWofTaTyqTQDpGYEngb8/twbTKLLicHNqaBrH27oXICsOU/+BIsnYk\nmhd4Mmkd2N///vcYGhpCR0cHBgfdYXbBgU02BA2sNMQSViaj+0eTnef/hV5QnO71etsHZ8mBJQiC\nIIgA6O0e9nJeUxRS5OSPnRg9b0kxThxsHXN70/l+cfngriZcd/OckG0c6HdHYCPJpHVgd+zYgZde\negkrVqyItSlxQbBltFwuDnabAyq1HGaTDe1NOnHblV+Z4fdxFEoZ5i8txvED7h+S1eKAVMZSXViC\nIAgi5nhOqVstDrAsE9Fs/UCxmO3oaNF5rbvreyvGfYauuLJcbC5kszkgl0sxpDPjrY2HR+0rNB4Q\nPodAg30cx0E3YIZuxIHVUgQ2OHJycpCZmRlrM+KGYMtobXn7FNqbBrH8ijLs8RCFp6alQJ4S2OWj\nTvUWc2/8425k56Vi7d0LkzIqThAEQcQHHS06fPDGcZTPzIVBb0FX+xAA4I4Hl46ano8FNae7sOOj\nc6PW+xMAksklXv9rc3xHRvt7DDh+sBX7dtRj5rwCXH7d9IBsPLS7CUf2uCsj+CMxDIVJG/p67LHH\n8Pjjj2P79u04f/48Ghsbvf4FysmTJ7Fy5cpR610uF+688078z//8j9f6Z599FsuXL8eSJUvw1FNP\nweWKbRvVYMpoORwutDYMwOXivJxXAEF19qicnTdqXV+3wWs6hCAIgiCiza5Pz4PjgLqzPaLzCgAn\nD7fF0Co3vpzXS66qCOpYDMOgas7o5zEAsWpQ9YnOgI/b7CFHyM5LRVqGIij7/GXSRmDXrVsHAHjo\noYdGbWMYBtXV1X4dh+M4vPPOO3jmmWcgk43OnN+4cSMOHz6MuXPniutee+017Ny5Ex9++KFoy8aN\nG3HfffcF86eEhYkkBBzHwWJ2QKmSwWK2g+M4DOutPvctnJoR1A9HqZLhgf9ahf07G3DykPum0Ndj\ngFoTuVIboeA9pWSH2WgHK+GnlRRKGUWOiYSCZDsE4cbl4mC12MEwjDjtfSF9XQaYTbao3u/NJjsU\nSilcLg42q0NMQhe4aHERlqwqHbP6jz9c+ZUZWPWlKthGmhxs+7B6lDzBZLBBImWhUk9cNcjl4jA4\nwH+GK64sx9xFRRH/vCatA7tt27awHGfDhg3YunUr1q9fj5dfftlrW01NDd577z1cc801Xi3cNm/e\njLvvvhvZ2dkAeAf2ueee89uBZcPc7hVwVyGQSlmfMoJtH57DuZNdWHFlOfbuGL9+XGaWKuhyXBKJ\nBPmFaTjpsW7LplN46OeXh3SxC59ZOD+7jhYd3nvtGMpn5MBosKGzVe+1/aJFU7DqS1UxsS1cxLNt\nQHzbl2i2DesteH3DAWRkqXDrtxfFdPCVaJ9dPBHP9iWabf9+7zQaavrGegsAoLNNj7//aS/mLSnC\nymsiV5ZTsKu1YQCb3ziBmfPy0dM5jP6e0c1/tNlqKELW5jKQSlnxOPlT0kY5sK8+vxdSGYtvrV8G\nrTZ13O91WG+G08HPNJdUZEEmC32QLNSvH4tJ68AWFRUBAHQ6Herr6yGRSFBRUYHU1MBKRKxduxbr\n16/HgQMHvNbbbDY8+uijePLJJ/HWW295bWtsbERFhTtCOW3atIBkCxkZ4deNsCMRF7VKDq3W+zPg\nOA7nTnYBwITOKwBced1MZGqDF2fPmS/Frm11MHtUNEiRy5EahihsOD+7t/92hJ9Squ71uf3k4Xbc\neNvFfh8vEt9ruIhn24D4ti9RbDu6twUOhwt93QbIJNK40PUlymcXj8SzfYlgm8vpmtB59eTEwTas\nuXVBpMwS2T4iFag+0eVzu0TKYvGKaVCq5GE977xFxThxsA1Op7fc0WF34fyZHhSXZI37vfZ28vXh\nGZZBWXmOz06cgdLbOzzu9knrwJpMJjz22GPYunWrqD+VSqW46aab8Pjjj/uUA/giJ8e31vPZZ5/F\nypUrsWDBArz11lte0Qyz2QyFwq39UCqVcLlcsNlskMsnvuh0OqMYMQ0XFis/TWC3OTAwYPDaZhz2\nLRUQuPXbi6BOTUFefhr0QyZwjGvUMQLlru8ug9lkx6t/3gcAqKvpxtQybdDHY1kGGRnqsH52fT0T\n/42tzf0Tyh8iYVu4iGfbgPi2LxFsGxw0wGiwQaWWe13PJ460YlpFVsykO4nw2cWjbUB825cotpmM\nNhh95F6Uz8jBqmsrwTAM5AoJms73Y+u7Z8TtPd36CWurhmqfYZzn8cIVU7FkVSnMFhvMlvDmjqjT\n5Pj2Dy6BzeZEX9cwPnrrlLhNuHf4+l45joPZZEddTQ8AICNTCf1QdDpuTloH9oknnkBNTQ02btyI\nOXPmwOVy4eTJk3jyySfxu9/9Dj//+c+DPvb+/ftx4MABbNq0CQD/BXpKCBQKBaxW90VoNpshlUr9\ncl4Bfrp/otB5oAijKpZhRh1763tnfL1FJCNLDZmMhUwuBcuyYbGNYVio1ClQa1JgHLbigzdOYP1P\nLw/5uOH67Lra9HA4Jk68+9uf9uLOh5b75QhE4nsNF/FsGxDf9sWzbXt31OPI3hYsWVmK2jPd4vrP\nttQAAL7y9bmYWp4VK/Pi+rOLZ9uA+LYvnm3r7TbgzVcO+XSwc/I1UHhENnPy07y2b/vwHK5ZMyti\nttWPOIFjkZWrATD6GR4uJFIJlFIJsvK868qeO9WFIZ3Z5/d6dF8zDux0zzBnZqmi9t1PWiX/p59+\niqeffhrLli1Damoq0tLScOmll+Kpp57C5s2bQzr2li1b0NLSghUrVmDx4sX46KOP8Nprr2H9+vUA\ngPLycjQ0NIj7NzY2ory8PKRzhorDOXYS11jidQComp0XUT2TZzMEs8kesfMESkvjgM/1cxcVjWrK\n0HGBNpYg4oUje1sAAAd3+ZYwtTT4vs4JYrJyeHeTT+dVKpOg5ILBnFojR/4UtxPrz6xcKNSdG9uB\nVapkKJyaEdHzj3eu5oZ+n/t6Oq8AMK0yO2J2XcikjcCmpqbCZhsdYpfL5X5HQsfiiSeewBNPPCG+\n/tnPfgatVosf//jHAIDVq1fjlVdewbJlyyCRSPDSSy9hzZo1IZ0zVJwu33VgzSa76Dje8I15yMxW\nQS6XgmUZ2O3h6408Fld+ZQb+9tweAEBb02DMu3O5XBwsZrvYY7pseg5WXlsJhgHkcikkUhYcx8Hl\n5PD6hv0wGmxobx7E1DJt1ApeOx0u2O1OKJS8DMZksEGppooIhDcu5+gZhMxsFdbcvgAHdjag+kQn\nWpsGfbyTICYXHMfBZLBDqwWGdGavbTfftVBseXphVj/DMLjxmwvQUNOH/7x/Brp+E4b1FshTpGG/\n3zudLpw53gEAmDE3H0svKwPDMpDLJXA6XZBIo1c9hGEYrL5tHqwWB9577Rh0/SacO9WFjGwlUhQy\nOOwu2GyOUZ+XUi3H9Ln5UbERmMQO7E9/+lP88pe/xKOPPopFixZBIpHg9OnT+PWvf40777wTHR0d\n4r6FhYV+HdNfB+H2229HX18f1q5dC5vNhjVr1uCee+4J6u8IF2PVgR3sd2c4Zuelik4RgLCIsCdC\noZRBpZbDZLRh2wdnoVBKUVwavBY2VP7z/hk01rqF/bkFGqjU3gMehmEgkTKYMi0Ttae7UX2iE9Un\nOnHX91aM2jfccByHt189Av2gGbfdvwRtzYP4fEsNFiybimWXl0X03ERiseXdU6PW5RWkQamSISdf\ng+oTndD1m9DaOBDT3xxBRJov/l2Ls8c7ceX1M9Dd4Z0YlJWjHvdZxzCM10zhay/sBwDc/fAlUKr8\ny6Xxhw/eOAHDEC89zMnXQJXqfpZE41l8IQzDQKGUIa8wDbp+E6pPdqL6ZCcuWlSEmtNdsI6U3/Ik\nJ4D28uFg0jqwP/jBDwAADz744Khtzz77LJ599lkA/teEXbp0Kfbt2+dz229+8xuv1yzL4pFHHsEj\njzwSqNkRwzmGhGCwj5cPqNRyL+c1mlTMyhXrwrY2xO5h6nJxXs4rgHH1gWVVOag97dYV1p/rxdyF\nUyJmHwAYhqwY6OUHHWePd+DoPn6K+Nj+FnJgCS8ulLawLIPSkQYkxR4Jky0x/M0RRDQ4e5wvyr9j\ni3czgLLp/mXLp2UokFugQU+n2/ltrO3FrPn+Bb8mwm5zirN+gPfvM9aUVWWj5pS7IsJ4jR0qZ/lu\njhApJq0Du23bNr44sU4Hu90OuVwOiUSC1NRUr4SrZEHQ/FyoZxUisJkR7lk8HpdcVQHjsBX153qD\nntI0DluRmcmX+LCNVFwItNXthVNLpVXZyBqj5Z6w3RPdgAm6fhPStcqwT+ebDDYoVDL0dbs1WELf\naoHermGkZSjjqnc3ERssZju62nkH9sqvzkBxqRYymURsJZmWrsCMi/Jx7mQX6s72YNnlZdTcgJh0\nWMx2nzkeBcXpuO7mOX4/IxiGwU13XowNv90prhvoC9/9XghKAMC3vrMMqWmR7WAVCNMqs3HN6pn4\n9IOxA30rr61E1ey8gJ+5oTJpn3Tp6en49a9/jY8//hhOpxMAX0brtttuw49//OOQdbCJhqCBlV6g\ngR3o5X/cke5ZPBEFRemoP9eLgV4j2poGUTQt0+/3nj3RiZ2f1OCSKyswZ2Eh3njpIFwuDnc8uDSg\nH9S/3/WuxpCTrxljT9+cPtKO00fasfjSaVh06bSA3jseLQ0D+Pitk6icnYfzHpnk5896C/7f/vsR\npCikuOPBpUhRxCaaTsQeq8WOjX/cI77OzhstgxHWA10wGW346M2TWHP7/ChaSRCRxTBsxRsvHYDD\nPloLnpuvCfgeeaGTeupwG04dbsOSVaVYuKIkJFs/3sS39klRSJGWoUCMO8+PIrdg/GfvNqF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AHeZbT4MYvF5O63riQHNuIolDJ86zvLYLV4TymBGRH+RxjBiWyo6QXHcQF39/KFUIh/4YoSLF45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\nCCEkqVACSwghhBBCksr/B1RzZlegctyxAAAAAElFTkSuQmCC\n",
       "text": [
        "<matplotlib.figure.Figure at 0x108971b90>"
       ]
      }
     ],
     "prompt_number": 326
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def parse_tracks(response):\n",
      "    def find_artist(artists):\n",
      "        #Haydn is an artist, so the artist that doesn't have it in its name is probably the quartet\n",
      "        for artist in artists:\n",
      "            if artist['name'].find(u'Haydn') == -1:\n",
      "                return artist['name']\n",
      "        return None\n",
      "\n",
      "    tracks = []\n",
      "    for track in response.json()['tracks']:\n",
      "        tracks.append(dict(\n",
      "            name=track['name'],\n",
      "            duration=int(track['length']),\n",
      "            group=find_artist(track['artists']),\n",
      "            href=track['href'])\n",
      "        )\n",
      "    df = pd.DataFrame(tracks)\n",
      "    # spotify tends to have duplicate tracks with different href's\n",
      "    df = df.drop_duplicates(cols=['duration', 'group'])\n",
      "    df = df.sort('duration')\n",
      "    df.index = range(len(df))\n",
      "    return df\n",
      "\n",
      "r = search('haydn op 33 no 4 presto')\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 303
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df = parse_tracks(search('haydn op 33 no 4 presto'))\n",
      "# some of these are not the right piece (we need a better parser here)\n",
      "df = df[3:8]\n",
      "df.index = range(len(df))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 304
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>duration</th>\n",
        "      <th>group</th>\n",
        "      <th>href</th>\n",
        "      <th>name</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td> 263</td>\n",
        "      <td>    Apponyi Quartet</td>\n",
        "      <td> spotify:track:2HQyed6DKNUFCu4QjQf4WC</td>\n",
        "      <td> String Quartet No. 34 in B-Flat Major, Op. 33,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td> 289</td>\n",
        "      <td> Buchberger Quartet</td>\n",
        "      <td> spotify:track:6kNBDD9jqd0pjNWTeByery</td>\n",
        "      <td> String Quartet in B-Flat Major, Op. 33 No. 4, ...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td> 298</td>\n",
        "      <td>    Borodin Quartet</td>\n",
        "      <td> spotify:track:1bKXLqRYwv1HnjJ2tmu3po</td>\n",
        "      <td> String Quartet in B Flat, Op. 33, No. 4: IV. F...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td> 298</td>\n",
        "      <td>     Kodaly Quartet</td>\n",
        "      <td> spotify:track:42ZB7AiDtgJt7wwfphwe25</td>\n",
        "      <td> String Quartet No. 34 in B-Flat Major, Op. 33,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td> 302</td>\n",
        "      <td>      Coull Quartet</td>\n",
        "      <td> spotify:track:6LT96I1pGLaxBMgSGQYDYf</td>\n",
        "      <td> String Quartet in B Flat Major, Op. 33 No. 4: ...</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>5 rows \u00d7 4 columns</p>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 305,
       "text": [
        "   duration               group                                  href  \\\n",
        "0       263     Apponyi Quartet  spotify:track:2HQyed6DKNUFCu4QjQf4WC   \n",
        "1       289  Buchberger Quartet  spotify:track:6kNBDD9jqd0pjNWTeByery   \n",
        "2       298     Borodin Quartet  spotify:track:1bKXLqRYwv1HnjJ2tmu3po   \n",
        "3       298      Kodaly Quartet  spotify:track:42ZB7AiDtgJt7wwfphwe25   \n",
        "4       302       Coull Quartet  spotify:track:6LT96I1pGLaxBMgSGQYDYf   \n",
        "\n",
        "                                                name  \n",
        "0  String Quartet No. 34 in B-Flat Major, Op. 33,...  \n",
        "1  String Quartet in B-Flat Major, Op. 33 No. 4, ...  \n",
        "2  String Quartet in B Flat, Op. 33, No. 4: IV. F...  \n",
        "3  String Quartet No. 34 in B-Flat Major, Op. 33,...  \n",
        "4  String Quartet in B Flat Major, Op. 33 No. 4: ...  \n",
        "\n",
        "[5 rows x 4 columns]"
       ]
      }
     ],
     "prompt_number": 305
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# loudness analysis\n",
      "seaborn.set_context(\"talk\")\n",
      "qq = ['apponyi', 'kodaly', 'coull', 'borodin']\n",
      "for idx, q in enumerate(qq):\n",
      "    href = df[df.group.str.contains(q, case=False)].href.values[0]\n",
      "    tr = tracks[href]\n",
      "\n",
      "    seg_df = pd.DataFrame(tr.segments)\n",
      "    seg_df.index = seg_df.start\n",
      "    \n",
      "    # attempt to detect pauses here\n",
      "#     gap_idx = (seg_df.loudness_max < (tr.loudness - 21))\n",
      "#     gap_ts = pd.Series(ones(len(seg_df.start)) * idx, index=seg_df.start.values)\n",
      "#     gap_ts[gap_idx] = idx + 0.2\n",
      "#     gap_ts.plot()\n",
      "    \n",
      "    (seg_df.loudness_max + idx*20).plot()\n",
      "    xx = range(0, int(max(seg_df.start.values)), 30)\n",
      "    pyplot.xticks(xx, [pretty_time(x) for x in xx]);\n",
      "\n",
      "legend(qq);\n",
      "ylabel('relative loudness');\n",
      "title('comparison of performances of Op. 33 No. 4 IV. Presto');\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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yVEEFLIVCoVAoFArlqYIKWAqFQqFQKBTKUwUVsBQKhUKhUCiUpwoqYCkUCoVC\noVAoTxVUwFIoFAqFQqFQniqogKVQKBQKhUKhNBpbtmzEN9/8X4Mek05kQKFQKBQKhaIDuUKJ4vLa\nJinLqYUVzETPln1x8uTpDX5MKmApFAqF8p9FoVBCKBRAIBA0d1UoTyhyhRKL115GYVnTCNhWDlb4\n9t2+BovYiIgT2LFjK3JysgEAI0a8jA8/XICxY0fhtdfG4t9/d6G2tgZDhoTgo48WwNzcHMuWLYGD\ngwOuXo1BdnYWvL19sGjR52jd+jkAwO7dO7B7905UVFSgW7fumDdvITp2fB7x8bFYseJH9OrVB0eP\nHoaVlRXGjn0Tb701BRs3rsPNm9fx669rmLrNmDEJEydOQ1paClJTk/H11z802HV6tiQ+hUKhUJ46\nSourcXDHDaTcK2jScstKarBpZTQiDt1p0nKfRO4n5mH/1niUFlVzliuVpJlqRDGEnJxs/PDDMixc\n+CmOHo3EX3/9jUOHDuHatasQCAQ4fToS69dvxrZt/+LOnUT8/fdfzL5HjhzCJ598hiNHIuDi4oov\nv/wUAHDgwF7s2LEV33//Mw4dOglvb18sWPAhJBIJACAlJRktWjjg8OFTmDdvIf76aw0KCwsQEhKK\n+PhYlJWVAgDS09OQmZmBwMCBjXLu1AJLoVAolGbl5P5EFOVXIuthCd4Pe1FtfWlxNQpyK5FytwBB\nQ91hY2fRIOVePpMCqUSOB4n5GPpK9wY5prFcvZCG4vxKvPRKd4jMms+mFHGwTsTv3RKHt+cFAgAK\n8ipwcPt1iL2fQ+BL7s1Wt+bGTCTEt+/2fSJdCFxcXLFlyy4891wblJWVoqysFA4ODigoyAcAzJz5\nHpydWwEApk6dgZUrf8asWXMAAK+88io8Pb0AAHPmfIyXXw5GTk42Tpw4inHj3oKb2wsAgGnTZuLg\nwX24fj0OFhYWEAqFmDhxKoRCIQYOfBHW1tbIzs6Cj08PeHh0x5kzkRg9+nVERJzEiy8OgYVFw7RX\nPlTAUigUCqVZKcqv1Lou6VYuTh9JYn4TJcHw170apNzmtC4+uJOP27FZyMksAwAkxGfDp1f7ZquP\nCkmtHEolgVAowIVTDyCVKHDrWtZ/WsACdSLWtaVNc1dDDZFIhIMH9+HIkQOwtraBWOwBmUwGQpQA\ngHbtOjDburq6ori4CAAgEAg46+zt7WFlZY3i4iKUlpagTZs2zDqBQABX19YoKMhHu3btYW9vD5FI\nxKw3MzOR48HXAAAgAElEQVSDUllXXkhIKCIjT2H06Ndx6tQJzJ+/qNHOnQpYCoVCoTyxsMUrABTq\nELvaqKmWwsraXM3PVcj6qVQSiERN5wd76kAi53dpSbWWLZsehVwJoYUICrmSWUYIoX7CTyAREScQ\nFXUKmzbtQMuWThCJBBg37lVmfUFBPjp06AgAyM3NYXxcCSGMlRYAyspKUVtbAxcXV7Ru/RxycnKY\ndUqlEnl5uXByctZbn+DgoVi9egXi4q6huroKAQG9GupU1aA+sBQKhUJ5YiCEaxV9XNGUnV6K8FWa\n/VwFLAXLFmtsZFIFju6+hbhLD5llUokchBAoFJr3MQWZVGHyvvx68K+hPvjbqyzT5hb1VrbaGrmJ\ntaM0JtXVVTAzM4OZmTmkUim2bg1HZmYm5PK6+7Vx4zqUl5ehsLAAmzdvwPDhI5h9Dx7ch9TUZEgk\ntViz5jcEBPSCq2trhIaOxO7dO5CamgyZTIZNm9ZDIBAgIKCn3vo4OjqiZ8/eWLXqVwwdOqxRP3qo\nBZZCoVAoTwxymZIjnIRCARQK04f6z5+6D0Kg0c+VLWDlWgRs4vVsPEwuwsPkIvj26oBrF9MQdykd\nAGBlbY43Z/RqEJ9cucw0MZx4IwfnT9zDwOFd0c2nDTJSixF5OAl9B3WGh08bvfsX5FagrITr26ka\nDjYzr7dx1VRJYW1jblIdKY3H8OEjce3aVbzxxii0bOmEIUOG4s0330RaWhoAoFMnN8yYMRk1NdUY\nNeo1Jp2VQCCAr68fvvnm/5CVlYlevfrgq6++BVDnBlBaWoKwsPkoKSlB9+6e+PXXNbC0tHpUqm5R\nOmxYKJYs+QxhYV/w1jSsmKUClkKhUChNzqXTySjKr8KwMZ6c5Xk55agorUVVhQQBA56HQAiAZZw0\n1qDD3l4uV0IhV6KirBbOrrYc65A2C6yUZRktL6tlxCsA1NbIcD0mA/2Du+isg1ymgJl5vSjXZCE1\n1QJ79thdAMCZo3fRzacNDu+6CQA4ffSuXgGrkCuxf9t1SGq51lWlkiA2+iHSk4uZZdVVUji52JpU\nR0rjYWlpia+//p75LRIJ4ORkh+LiSpw5E4WQkOFa/VBfeMEdS5d+p3HduHFvYdy4t9SW+/kF4PDh\nU5xlhw9HcH67uLiiY8fnIRZ7MMvefvtdg8/JUKiApVAoFEqTUl0pxfUrGQCAaxfSOOsO7bjB/O3k\nYguhkKtYlUqiJgilEjluXM1E6r0COLvaIXiEByNOzVnbVVVIcHzvbRQXVKFDZydkpNYLtJzMUti1\ncFWrq41tvXW1rFjdT1VfINj5U/dx53oOAoe+gHbPt4RdC0uNYlkmM92FQIWxrgNSqVxNvALAib0J\nyMsu5yyrqZI+Vt0oTx7GPi/6kEgkyMzMQHj43xg16rUGPbYmqA8shUKhUJqUnKwy5m+VkNVEQW6F\nmg9dZbkEW/+4DKmkXnhdiHiAaxfSUJRfhXu385B2vwgFeRVITylGbla9EKsoq0VxQRUAcMQrUJdG\n6swjayYbJcu/tKykRm39/YQ81NbItJ7DnRs5UCiUOHv8Hrb/dQWRh+5AKlEXqzXVpglE9vWpquQe\n43Zcls59lVpcM/jiFaizwD4rFOVXIuZcKmqqtd+3/wIN7Z9aUVGB99+fAYVCgTFj3mjQY2uCWmAp\nFAqF0qSUaxCCmpDUytUssABQUy3Dg6QCdPetGyK/eyuXs/743tsaj6dKWaWNOzdy1ZaxfWM1ibja\nGhmO7bmN1yb5aTympaUZquX1+yUnFaDngE5q25UV1yAzrQRxl9Lh7umKbgb4rwJ1gVYqMS/hCenz\nJ+/Dy7+d1n2NSSMWHZWM1HuFEIoEGDKyG2ztLQ3e90njnw3XANTluR3xhk8z16bx2L37oNZ1ixf/\nX4OX16pVK5w8ebbBj6sNaoGlUCgUSpMi5w2XW1pptqVIJHJOoBUbYkIOV767giGwBWxVhUTjNrk6\nhDE7IE2FNovtoZ03kPWwBGeO1luCMx+W4MrZFLVrpoKdgUCTINWVKUEVrGUoOZllyHpYikunk5ll\nVRUSrXV70mH7+FKePqiApVAoTUJDphwyhIb276I0DCVF1ZxAKABao/i1WWCBxr2/9xLycOVsCuNv\nq6KizPiZmDTVU58lmM2hHTcQdykd8VpcLdj+tPu3XVdbrys4zNSJHMpK665DUX4ltvx+CQe2q5dL\noTQ2VMBSKM8AhBCUFlU/saKtILcCG1ZcUEtK31jk51Rgw4qLiI5K1r8xpUn55++rasKJHSjFRlIr\n1+qnZ4oF1hCIkuDk/kTEXUrHrdhMjkBk+9MafLxH1fTr25FZlpxUoHc/pZJwXBbuJ+RpODb3Gmiy\nhG5aGQ1JrWaLrz4BGxTiDq8AdRcE80dT3l6PyQAhde2tuvLZ8ZGlPB1QAUuhPAPEnEvFjnUxiItO\n179xM5AQlw25TImkW7m4asIwrrHEX06vi0yPyUBuluHWLkrjo0k0WWsRsEqFUocFtm4o/mFykcb1\n1jbmGofv9VFRUW9lfXCnQGt+WENRicwWjlYQPprpS9fUuSoK8yqZgDNAPU9tUX6lRourpvJvXdMc\nzKUtiEuFXQsrtHK1U9+PENTWyDjiviC3Qm9dKJSGhApYCuUZQDUkG3M+tZlrohlr1hDxtQtpOqO2\nGwK2T+W+LfFac3w+SyTfLVCLrH9asNAiNAvzKjVG/gNAdNQDbPztIo7uvqVxvVAk5KTQMpQVS+tz\nWpYUVj22f6fKSGpsxPee8Fic2FcfjFZVIeE8x4d23dTpe8umUovvrj4LrK2dBSws1f2TczLKsPG3\nixzRmk8FLKWJoQKW0ugQQp6pFCxPOnnZ5Ua7EjS2wBPxrGiack82JFbW3BmDGru85qYgtwIn9yXg\n8K6bjf5x0BiIzIx/Fel7xIVCgUkWWDYyqcLgKVSTk/I1+siq2qJAoN/iyYefbotthTUmL6u2/ldX\nEFdHNyc4u9pBJNIuvMtL689XW4AbpXHJyclGUFAv1NYa75+toqioEEFBvQzaduzYUYiOvmByWQ0J\nFbCURuf8yfsIXxWNlHv6/b4oj8/ezXFIvV9o8PZnj9/Fht8uoCCv8Swo/ACux5n33aDyeIK8IZLE\nP8nksXwz+QK2MK8SR/+9hez0UoOOpVQS5GWVN8o90vZhJRI93qvIroV6SielknAmOzAVQ63aJ/cn\nYse6GLXlplpgNWFq0JU2savreCPG+UAoFKB9ZyeDUmaZWjfK04VAIGjw/LGmQvPAUhqdhPhsAHWz\nu7wf9mLzVuY/wo0rGXDr6mLQtonXcwAA/26MxeQP+sGuEfI78v33GjvtDl8wlxZXo4Wj1RPT8TY0\nctb5ymXccz91MBGlRdV4+KBIa/urrZEhLvohKiskTIBRu+db4pUJvg1aT4UWC6SZCRZYNs6udqgs\n51oAa6tlsHewYn6379QSmWklj1WOPjSNZKiCzfjPnoWlGZO/1dbeEtWVUr0jJ6YGrmlL2G+I6DQz\nE2Lie32w9qdzOrdr6iwjTY1cKUdJbdP407e0coCZ0Hh5JpfLsWjRAlhYmOOzz5ZgzZrVOHcuCgDQ\nv38Q5syZB1tbOxBCsG7dHzh4cB8EAgFee20s5zgRESewY8dW5OTUvbuDg1/CggWfcrY5fvwIwsM3\nYMeOPcyyzz77BJ6eXnjrrSlG190UqIClNBlCHUNRTxO1NTIoFURr6p8nAVOtIQe3X8db7/Vp4Nqo\nv9j3bY1H4FB3eGuIcG4I+IL56O5b6ObbBi+GihulvOaGfX35ltPSovrpTwkhGkX8uRP31CLjsx42\nvNjTZtU1xYWAjWNLazzkLVMolDA3rz+ub+8OjS5gAfVrzHYhYDN8jCcOPpo218bWAl3ELrh5LVPn\nsY3N26pCqwuBgS4NhvTdxrpHPE3IlXIsvfwjimob//kBAGerlviy70KjRKxCIceyZUsAAKtWrcLH\nHy9ASUkxNm/eBaFQhK+//hI//vgtliz5FgcO7EVU1CmsXbsJjo6OWLr0C+aZzcnJxg8/LMOqVX/C\nw6M70tJS8d570xAcPBT+/j2Z8gYOHIyffvoO9+/fhbu7GFVVlbhyJRrz5i1o0GuhC+pC8B9BoVCi\n3IQchg3J41pZngTkciU2/nYR4aujTZ76sSkw9GXCt4RqC5h5XDRZpi6cut8oZWkr786NnEYrr7lh\n30eplOuzyW532oSMtkj+hhZ82lw5HlfA2jlYQez9nJrPq8is/re2bAYNDV+kMy4EvPIdWtoYfWzV\nh6mxLjEKuRIn9yeo+ega+qFryMiFqeK6qdFn5S7IrXgq/XmXL/8WDx7cx/ff/wSFQoEzZyLx/vsf\nwsHBEfb29pgzZx6ioiIgkUgQEXECY8eOR9u27WBjY4vZsz9krouLiyu2bNkFD4/uKCsrRXl5Gezt\nW6CgIJ9Tno2NDQIDByEy8hQA4OzZ0+je3QsuLq5Nds7UAvsf4fCum8hOL8XIN33QobNTs9Thcf3c\nngRKCuvT2mSklqCrZ+tmrE0dmjpkQ19MTRXcJG/i4cXHTX30tMEONGILKEII51oU5VfB1k6Dv6iW\nD55DO280qNuPXJsF9jH7BmtrcwSP8EDQUHes/+U8s5wt3rXN6KUNewcr1FTLjHZ3qa2RcSL3tVlg\n2aKdEAJDWqyqXRs6FS+b5KQCSCUKjHyzfupUbaLTlPvxtFhgdfWNeVnl2LslDgA4z72Z0Axf9l34\nRLsQFBYWoLAwH7dv34aXlxhyuRxt2tRPR9y69XMghKCwsABFRUUcofncc22Zv4VCIQ4e3IcjRw7A\n2toGXbt6QC6Xa3zPDBv2Mn79dTlmzZqDU6eOIyQk1ISzNR0qYP8jqAI4Lp1OaT4B20AW2KyHJUhP\nKYZv7w5aE6A3Fmw/rydFkGt6cSgMtIY0lYBt6jRW/4W0WWxqWaMBNdUy3Ludh7YdHdUsq0X5lejo\npt7+myoAR5vl8HFHZ1Rp0/h9DNvqaqwFViQSwtrGHBVlxgpYOVo41v9m3vs8Bat+zvrvQdThJLw6\nyQ+lxaaNlPBztbLve4fOTkzAmpm58fcjPaUY2emlaNvRUf/GzYguoZ14I7t+OyXhPDNmQjO42Dg3\nat0eh++//wUHDuzB999/g4MHD8Dc3AI5OTlo0cIBQJ1rgFAohKOjI1xcXJCbW3+ubOtqZORJREWd\nwqZNO9CyZV1fMW7caI1l9urVB9XV1bh2LQa3b9/E11//0IhnqM6T8QamNBmmdEyPA/urraEE34VT\nD3D9SgYO7bzRIMczBnYQysn9Cbh2Ma3J68BHqsGqZWiwxzMrYJshoEQqkSM5KZ8JzGlKaliZBy6c\nuo/Iw3dwYPt1nDtxj7NdXrbxM0k1JGzrMFvP6eobeg/srPe4Fo8ELN/KKdAhYIOGuus8pshMCAtL\n47MYqKUxe9QHCnmV44htAkP0K/Kyy/HgTj7KSqr1b6wBvouFSsAKRQKOZdaY7A3s03oappTV1Tew\nn0/lUxaUZm5ujvHjJ0EkEuH333/H8OGh+PPPVY/cAMrx+++/oX//QNja2uHll0fh3393IT09DTU1\nNVi79nfmOFVVVTAzM4OZmTmkUim2bQtHTk425HL1fs3MzAxDhgzF6tUr0Lt3P9jZqU960ZhQAfuU\nUVZSg/1b43Hvtvq0gtpgN1gzs8dPK2MM7OFLVYcddSQJ/2y4ZvKLvvjRMD57lpqmgi/Erp5Pa/I6\n8NFk1TLUolbdyH68SiXB4V03kJ7SdAn20x4UGZwyqiE5dSARJ/cnIvLwnSYvW1OUeXlpjdoMV6n3\nCpGfY1y6tNR7hqdk04dqSlMzcxFGvlmf4YAfJBQ8woP5mz0phTYsrery/vJ9NXVZYPUFJonMhBAK\n1V+Rbdo76NxPwhOwSi0uBOz6EGh3IeCL+wd38lFmogWWPymByhrJvzbGGDrMLbjHbIw8xMlJ+Th9\nNKlBPrh1WWDZAlZbxgzOsZQEidezkZ/TvB+GqufezMwMixYtxsaNGzFixCi0b98BU6aMx5tvvoqW\nLZ3w+edfAQCGDx+BV199HXPnvoc33hgFN7cuzDFCQ0eic+cueOONUZg6dTyqq6sxatRrSEvTPElO\nSMjLSE6+j5CQ4U1zsiyoC8FTxvG9t1FcUIWczDJ09TLM/5LdKM0tTP9mSU4qQEJ8FgYO6wpHJ8MC\nENj+Y8UFVdi3JY6ZT/xqdBq6+T5ncn0el4zUYshkCoPTTQGNY0nMySxD7MU09ArqjNZtWxi9v0KT\ngDXQH40dod4YlBRWISO1aSJ3AaCyXIJj/2qemQmo+5hrLNcPlUhPu685IKoxqdWSJsnewUotB2hy\nUj5c29gbfOzMtBK80M3wNqILldC2tjHniCa+8GQLb0OG/i01zBYFcEUqvwx9z4GZmVBje391kh/+\n+P6M1v3ULbBMBbTuQ3RYYEVmQo4RIj25GK3bGd9PAFCzKDMWWN41dnYx3JJmYSniGCPqnpeGC+Qh\nhODk/kQAgJ29JXoF6bfI68JQC6whozhJN3Nw9njdKEdzpYhs06Ytzp2rzz/s49MDt27dQnFxJTw9\nfTF/fpjG/SZOnIqJE6cyv6dOnQEAsLS0xNdff6+1vN27D3J+u7i4wM7ODv37Bz3OaZgEtcA+ZZhi\ndWR3Lo9jgT25PwFZD0tx5B/tAoEPPydlLivhuqZZa5oKqUSOw7tu4sTeBOQYOB0j0DhD0/u3xiMj\ntQSHd5nmEqHJ2mqoBZYdlNYY8P3++S+2hva9rKnhijWfXu05v59F31ilkmi1eqlmUWJ/cBprIWvI\nZ54tYNmoWU7Z1lEDIuC1WWn5FliX5+qEexcPF/0WWJFQ6za+vTto3a+WZyXUFsTFx7Awrrrj6ZpC\ntmdgJ63r+KJdFcSluv4vhorR0c0JQSG63SvYWNtwrfxZD7WPfsikCtxPzNOal1YT7G3ZM3+ZCt+K\ny3ZzM8SFoLpKymQpSE9+OqdubggIIUhJeYD16//EsGEvw9zcXP9ODQwVsM84leW1qKmq7wBMmRuc\nT3mp4cNXutK9aHIhiI1+iM1rLqEov9KkuhkKu1O8dzvX4P00vcx1pVzJyy7H/cR8revZ8KeNNLxO\npgvYqsrGdyFg49rGHkNGdmN+N7ig5J22fQsrvDG9PnfhkzgjV+bDEiTEZxs9/a8K1bC85nV1bayb\n73OMmDf2w7EhBazKUmxlY845X36GAJGGoXtdaAsQZbsACIV1fp5DRnXDi6FivRbYOheC+nq179QS\nL42qe3b7B3fBqPGaJ3lITspnXKcIIYbNxKXj1hs794ajk7XWdXK5EjkZZUzfy7fAdvNtgxHjfIwK\njuVPfKIrveDZE/cQcfCOwR/rMqkCN2IymN/siSlMpZD3bmH3UVI9LgSSWjnCV0Vj85pLKMit4Dy3\nz/pEDpr48MP3kZx8H9OmvdMs5VMB+xQglchNahy5WWXY8vtlJi0IYHoQF1+IqOqTl12OhPhs5GWV\n49TBRDULMd8Cy0ZTUvOYc6moqpDg5IFEtXUP7uQjNpqfrtw02OJZlftUoVAi6VYustJLceboXexc\nF6P2ta7pfDavuaTR55IQgr2b43BiXwLu3zHcZ9lYNKXCMSQnY0ZqcaP7ivLroVQStGxVbw1s6HRX\nfBGoJIQTuKLreWwOCCE4tOMGzp24Z7Lrga4pX1XWVgtLM+blb6iAVbkZNGR6JJW4sbax4Fjn+V4C\nnKF/PcfUNVzNcVMQCmBlbY6unq1hYWmm1zXB9Tl7uInrXSdGjfeFOyttnra+tKSwGut+OoebV7mT\nEggEgF/fjgCAdrxIfZc29vDpyR0tUKHrY9TTv63aeRAdj3huZhn2b4vH8b23Occ2xE0jKMRdzYcW\nAOwcuAJWV9qx+wl1/WBhnmEGipMHEnD9Sr2AbYjJcPijTuznm/2ejdLgy56VXu8O9e+mWE6e5Cet\nb2lsBAIBDh8+hb//3gpHx+bJPEF9YJ9wamtk2PbnZdjaWeLNmb2M2jfmXJr6QhOn0uT72Eklcpib\ni7B3cxxneVZaCaZ9OID5rasz0xXEVc2zDEpqZTilQdSaioRVtqoDu3Q6BbeuZcLMXMh0RjeuZqA3\ny+dKLtd8Pge2X8esRYN4M/DUr0++WwDn1rZq+7GvjyHBKprQJDAMER2Hd900qTxj4L98lQrCsZY1\ntAWWb8QkSsJJV9TYU9gaC1t85mWXo3PXVkYfQ9eLU9WOLK3MYPPI4lhZLlFLEcRn+BgvpKcUIz+n\nwuR7dPNqJtJTizH0lW5MkJVKUFtZm3OeDb4Fli1UdD3J+mZz05WFQJfB2zugHXr06cDsr8lnWJ/o\nuxj5AN396vNrCgQC9ArqhPadW6J1mzof1tDXvZB2vwh9B7vBytocU+f0rwvU3RbP7KfNeGFmLkLQ\nUHf0H9wF636uz31riCVfNcyv6icMyZHr5d8Onn5t8ecPZznL7ey5VlFZAwo5/hA9+1msrZEhOioZ\nndyd9cYxKJVKpCUXwcpWpPbBJ5crmY9c9rVju7upqK7gvpfY7zCZTGFyH04xDWqBfcK5dzsPUokC\nJUXVRs8OomkUrqGmIpTUyjUG5/B9m3Q6zOsQE3z/o31b47VsaThXzqZg85pLKC6s4nY8jzq0W4+m\ncWQLAn7idblU+/nwRSM7lZU2EcC+XlY2pvkQafOBlUkVuHI2RaOPr66XnKlD2YbUTaFUcgRlQw+7\n8etOCOGkBHrSrCTsl6m+PMlKJVFrh+WlNUi6pd8FxsxcxFhglUqi9oHI3VaITu7OjP+sKfeIEIKL\nkQ+QkVKMuEvpzHK2D2wL1nAwf2hYU/S/trrqgm+B5dRRhzQeNLwr40Lg5d8Orm3Ug6YMEX3VlfV9\ntkAogEgkRPvnWzKCqZN7K7z4shhW1nVt38bOQj3QSkHUskkAgENLawgEAs7zbWEpMrj9EkKYvK+G\n5sjV5AZhy3Mh0DZZRUNQWlyDvZvjcPNqJqKjknH3Vi5O7E3Qu9/VCw+x+fdoHNpxU+29w3m+eZeO\nP0JUVan9HWzMeVeU1WL/1ngkxGfr37iBKCqowqGdN5CuZda9pxEqYJ9w2JYIY4dbNXU2pg4H8hu9\npFaOgjz96Xh05SPVNfTJ7lQUCiVKCh8vWp4QgrhL6aiqkODK2RSOv2lNjUxrp89/SWmzwLLrXJBb\ngZ3rYjhTl2oSsKVF1ZypW/l5Ig1Fm8C4dDoZcZfSsV+D+Nc1LNmQQ8b8+69UEI7vYYO7ECjVf7NF\nDn+a1eaG7XOnL5n/qQOJCF8VzXH72PbnFY6PoDaEQgHsWtSLRF1uBDa2lhAIBBA+uk+mCFh222b7\nWbN9YB2dbRA80gNDRnZTy2qiqyn49+tocD10pdF63O80Q9prZTlLwBp4XIeW6j6sNrbqH7fs7Ua8\n4Y22HR0x+i0/GBoX+TC5GDdj6z7ajZmlrLM7d5TA1p4rrqurpQ36Ecwm5W4B8rLLcTHyAXKzDA++\nVaU7zMksU/uIZffN/FrX8vx5dQWfqd6RdX7Pus//zLG7yMksU8vTrI/zp+5j25+XdQppbRz79xYy\n00pwZLfhQdhPOlTAPuGwv653rI3RsaU6mjolvnAhhODciXuIOpKks9HxBZikVq410OrciXtIfCTe\ndAklXdHQ7KoYk+opJ6MMm9dcQuJ17pct+yUqlykhZfm21tbItHZMmakl+GfDNcbXSZcFT3WuR/65\niZKiapw/dZ9ZxxcB1ZVS7FgXY9JkDMl3Czgz6mgTnEk3uZa5+wl52PrHZWQ9LNH5YdGQVlF+3Wxs\nLRrZhYBbXueurSASCZl2ZGqgnLHlGoqMJaj5QUUKRd389ZfPpACoe3kDYNL28K2xuhCKhLC0MmN8\nGHUL2DqxpLpPhuTD5MNubyqLIiH12RKsH1kcxV7PaUwHKNDyNwA8/0L9bEj6PrZ0WhYfU2TxLY+a\n4AhYAz9QzcxFmPJBP86yVq3VXRjYwVoduzhj9Fs90Kq1nVpQlTbYH9gVRkT3v/iymCOe+ZMjVFdK\ncXDH408yo69Nse99SVE18rLKcTsuS+9+qnakgmuB5e5bU2PEiKJUAUIIDmy/jp3rrtbFhvAmDiGE\n4PKZFI7vrDHcjs1CeWktoqOSjd63ObP+NBZUwD7h6LPKaPraq6qQ4GFyETI0JI/nC8qC3AokxGfj\n7q1c5GWVgxDCBFpUVUhw+mgSstNL1YSGVCJHbqbm5M0J8dk4e+xuXXk6OhND0/mU6BCw/PPZvy0e\nVRUS5iWvgt14razNOT6wCrlSqxgvzK9EUX4lzp+sE6O6pmhVdVaaxDC/4zMmdRebtPuFOLkvAf9u\nimXuuza3EHaZhBBEHLqDirJaHNxxQ+eHRUNaRdnluIld0N2vbeMKWNbfr08NgJNLnd+xyjdNV8S+\nqZSV1Jic3keqw4XgzvUcJCcVIP5yOje9j5KgvKwW4auiDS5HZS1soSGQi99/qNIiqVwIDJmRSKFQ\n4srZFKTcqxMH7KFzVY5WqUTOPA/81Et8iJa/AW4qQE3P8XOPJhoI6P88xzWBL2Y1BSQZg5W1OUaM\n89EZGc+e1MKYARa+OO4f3AVtOnAnUGj3fEuN+3bo3BI9+mhP86UiOaleyBmTzs7K2hwB/Z/XuY2m\n4NDbsVmc39evpOPg9usa3wNFBVVqvrZ82P3brvUx2LslDudP3lf7cNfH7bgsbP3jMnIyy9Q+1vix\nH7r6K5lMgZLCauRklKG0uBrnTtyrc3e4Vh/Ml55SjPjL6VqPYSjGuhM+q1AB+4Sjb2jn+N4EbFlz\niWON2frHZRzdfUuzbyTvZVTJaghKJUHUkSRsWhmNzLQSnD56F0k3c3Fg+3U1ARYb/VCvACWE6LT0\n1dbIDbJc6Qr2MjjfKUsEK5VE7Zj6AppU56rL4nNUx9AMv2PkWy0M5S5rBrYHdwpACOEs0wZflOp2\nIWgYUVlZLkHWwzpLg5m5CMNe84SZmZDzUdbQaa3Yz1Or1vXJ2FUCtqGneS0trsaW3y9j+19XTNpf\npqXD9soAACAASURBVMMizE73w/5IIYTgupEvQZUrkqZMBPyXsrXKAmuEC0HSzVzEXUrHib0JIITr\nY6t61vT5e7/0SncAQK/ATrC1qxdwrXkBVGyXEE0fbyPH+eCVCb7oGdgJXTxc4OnfFn1fdGP8TFW0\n79TS4MlgtNHRzYmTqUAXxgzT87GyNserE/04y9p30ixgBQIB+g3uArF3400SwwmyUxKNbh2lxVzD\nA3tECqgLms1KL0XMuVQU5lViz+Y4JD+yjp45mqS3Dpyhf1Z3dvd2LgrzKpm+QJerGgAkxGWjoqwW\nh3feUGsLagJWR/8vlyk09qvJd+rTKDaUFdTYkST2SADQsHEOzQkVsE84ugSTQq5E2v1CVFVKOalG\ndIkTvqBkD6WbmYuYKWrPnbzHOPirymJjyIQKcrlSd/0VSoMscLoaq0psaWuQhBCk3itkLMJA3RCS\nsemjnF3rxJA+waytHvzzNDUanv2hEnEwEekpxXj4QL9TvpSXDox//14MFdfXrYGsotv+vIxbj6wu\n/FmXVCKkwQUsO7KdpRdUVsCGmIpSRWFeJVYui3ysY7B9ctXcTFj3mv3iJEQ9mEsfquuvErDlrBfp\ngzvcPMWqjAEqAWvI81BSVP88SSUKzgiH6h6zxQBfTAKAe3dXvD0vED0DO8HSygyvTfLDiHE+TNtT\nwbHAauhfzC1EaPd8SwiFAggEAgwM6cqkr2IjEAgwZGQ3jXV5XDQF5Bnr4q66V+zUXcbQP7gLXujm\nalBOV3b7N4R2HevFs6OTDfoMcuNM/wuAmT1LH1WVEhzccR352eU4ua8uIMuQdqrtvZCTUYbdG68x\n/WKcgR97crlSrQ3yR9N09ds1VTKN7wf2xBaGupHow9gPcb6xqbZG+/7x8bEYOfIltb+fRGjOhycc\nXVkD2P45qmF/fQJL8WjWnru3cuEmduF0AuyXP3+u7dT7xs+HrpAr9dZHUiuHlY7hxNLialw6rd3f\nR6kkiI58gHsJeRj9Vg/OurQHRYg4mKjxC9zQPIT1PBqu12ONYk8awYbfMeqzCmg/Ple46Jr1hg0/\n4IEfgMd+iavEEiEEWQ9L4dTKFjZ2hic2V8G+9/zhW3MLM8hlUs51yHpYgtjodPQb7MbMmGQs7O8H\n9svCwqrhBawql+bjwLbA8ttKFW90REVluUTNoqIP1bXQZIE9ffQub9u6/1VWtrLiGtxPzEOfwDoh\nWV5Wi+iIB7CwMkN2eikGDe/KeX5qqqWcfkUuU6Iwr5LJJCIUCtQi7VWw0xCpXAH4cCywDRBw2OdF\nN84HrrG0cKx3Iej7ohsUciUK8iqRxuszjRUvr07yQ3pyESfPbavWdijMq9QoyPlYWZtj6OjuIIQg\nPbkYR7VMsezynD26+bYxqm42dhaYOKsPBAIB44rBd2kwdNZIAQTq+bYN+GjSZ0WMOZ+KTu6tUPoY\nsw2yPxSJXA5BeRGsZZrfHRXp2XAU1cBaxnOtK62BNL/uI7Fuf+76WxE3kJ1ZhgFDuqC8pBZVVVK8\n0MsdAjPt8sxYAcsPPq6plqrNhvc0QgXsE44uAcie8UQVXCTTE2WtVNY5kd+5kYOb1zLh4VPfcemy\n6rD9pQxFLlfq9IEF6hqiyFyEyIN38Fx79VQ1+ob2lQqCG48ShvNfxBcjHpgsFPmoOlR9gpw/bKZC\nzYfYxHrx7xE/AlgbiddzOL/5L1P2T1Vd793OQ9SRJJiZi/DOfP3zXBflVyLtQRFeDBGrvVz4Ccgt\nLESoqeIKeVXgx97NcXjvk0F6y1MqCdKTi9CqtT3sWjwactYybadlIwhYdgYJU5HqmLqSfa8Ncesw\nt6jPcensaoui/PoXN9+FoLK8Vm8uWLYV8cS+RPQJ7AIAiDp0h+PDfXjXTc7UozVVMk4/JJMqOOLJ\n2sbcaDHn0NIaZSU1MDMXcuplaf34r7BuPs+hlasd9oTHmra/bxsU5lbC2dUW3o8mI4g4qG59NPac\n7ewt0b1HW86yEeN8kJNRhk7uzlr2UkcgEMC1rfYPQiMnPWNo4cjNlmDXwhKDQsXMx4Chw9R81wqp\nRN4gPp6qVGyPM1u16h1L5HKkfh6GroWF6Kpt44dANYD+GlalLd4FoE5wqa1/CHQGkH2hftGDf53w\nwg/LOSJW25S3QJ2ldM2a3/DwYRratGmDzz//DM8/747Vq1fi3LkoKOQEzi3cEdB9FMzNrbBly98o\nLM7C11//AABISXmAqVMn4Pz5q/ouyRMFFbBPOLosDOwhOdXQhkSPb4xSQZjo08pyCSQsK25FecNG\nKSrkSp0+sECdMIy/nI7U+4UarbxsS5GtvaVax8a2bPLrb8yUt/pQPPpA0GfxKdfi46Sqp1JJUFle\ni/QU43PxyaQKtY5LwIvRHjS8q1oAG6AeCMcXcuyoYlVdbzJ5cQ0T2/9uiq3zL66Vo8+LnTnr1Cyw\nj7ICyKR1ftDsqFxD/ZoTr2fj/Mn7EAoFeO+TQaiulKIgt846whcLjIBtQB9YM3P1pOjGwhZ6/GeL\n7UdqSDky3jSYz7VrwSRjV11/lSW9Lk+wnHEX0IS2qVbzc9XT57GzpRz+5yYcWtZbJeUyBafd6hpx\n0cbI8b64fS0T3Xq0hbm5CP79OqKooMpoy6EmBAIBXNvY4+U3vBEd+QChr3kbtb9IJMSLL3OH4DX5\nSjbE6LGNrQW6eBjmc8vGTMcU4o/jm8vHydlG/0b88nnF5+foT89oCKpnXt87SBfaRtQaG01+5+x+\nkf13SUkxFi36Hz7+eCGGDx+By5cvYu7cufD19YNUKsXmzbuQkVqKr5d+iSu3/kWg/6QnckptU6AC\n9glHZxoqloBVPZB8X0f14ylh18KSGYLMyai3pGiLxDcVuQEuBHK54TleWzhaqQlYdkNsrBRJgHYL\nrK2dBSdlEH+IX4XKqnnm2F3cNSDxvKb9NVkP2W4k/YK7oHuPtrgY8UA9ATfvurGfk6AQdziw8nAq\n5Epkp5dy3CwIITi08ybkMgVeneSn0XKnujbXYzIQMIA7xKkmYC1VAlaBOzdyNIpudt1t7CzURKkq\nCbiq3J3rWVP/8i2wqkj4BrTAsi2exlJSVI0WDlbcuddZzxbfemXsFMoKuZKjDFTXnx15L5EoNAvY\nR/tpE7AikVBtRIEtEuQyBcf6y39ZmuJz2sLBCv2HvMD87jPIzehj6OP5Ls5w69oKTk52KC5+vL5Q\nY+BbA/k/moKubDaGTmJgCA0hhhuqPnnZ5ZzMF6agGgURmJmh8zffY+evp7RmMhEA6BnUGVfPp6qt\nC3nNC61c7XBi720UFWh+tpxa2aG4sG6d10BPNRcCbUI8OvoCOnTogNDQkQCAwMAg/PXXX5g2bRr+\n+msTHBwckWcugX/3UTh8ZjkUvm9CrqACltLIlBRV4wIvcpMN28FcZa3Rl6hdqSSwtDJnBCw70tnY\n9CP6MMQHViFXGuzPw45MVqHJCt0YqHyI+D7JE97tg/W/1E/jqG2GI9ULTZ94VSoJLkY8gKOTNTMc\nmZddjoPbr6OdhqjjmkfltWnvgB6961LnmJmL9PqQsS2Rnbu2ehTwUjcCX1UhQdQRbhTw2eP3mIwC\n6clF6OTeCoQQRlTyRQq/fP6LTZWFQSpV4HYcN70Om8Tr2Th7/B78+3VEr6DOOLjjOszMhBgxzocj\nsBQKrsDnJ5lXCTVtLgTVVVLcS8jDC91cDcqjqVAodc5mpW14vqZaik0r69JfdXBz4gTYsAMS2QIQ\nMMyFp00HB+aDVKlQcjR8vYCtt8RJa+WAZjdTAOqBSFnpJaioqGXSa7HRJbD5uZOfBd87fWhy+WhG\n/arTfcHQWc8MQZv41OVOwH8+GirQCagLUHwcAct20xOYmaFSaAu5ufa+tUhiiRpzdVe4whoLkFoL\nZJYKAQ3rASCrDMy69Idl6Mlbz7+EqfcK4fKcPUpKitGqlStn3fPPPw+FQoE2bepGKGRSBWytHUEA\nVNeWQSZ6smYkNBWaheAJ5pgWp3sVbOtbVaUUxYVVeqfVUyqIwflXHxddLgSqTkouUx8WV3Ehgive\nNc0zrWtmFE3w8yuyX9K6XqwqixN/mJc/lWV1tWZRI5MpcS9Bd7orgrrJBm7HZeFCxANGkJ89fg9y\nuVJjtgFVeex6GJKii22JVL10VNeiVINvJ2dWMQVBQnw2Nqy4yExLWMlynbC0MlN7KYl4L0kLi7p7\nKZMq1NwggDqheXDHdcYyG3cpHVkPS5CTUYaM1BLkZZVzhJTaM8R7CVrocSE4sfc2LkUl48C26xrX\n84k8dEfneoVCiZvXMpGdUR9kp5ArOQnIM1KKOR9vqmcr6kgSdm+8ZlA92LlBA1+q90PlD2GrRArb\nAqvvw5HfHv7+7QL+2XBNY5vTlR6I/3Gjb8rcZwFHZ1u1ZabOtNfYNKQLgTbxqcsdlt8mdeXaNhZz\nC8On1tVEdVX9rGJKJdE4kY1v7w5Md1OkJXAt+W4BDm43rG8B6owWlbxRM74QP773No7+exMuLq4o\nLORmEtmzZw8EAgFycur6bblMgcrqYggEAlhZ2kEpJ5DJ6ttxWZlpecmbm2e/J3mK0RckImM1fLlM\ngV3rr/4/e98dJjd1dn8kTdvZ3ovXu+veC664UIwpoYZA4BcghZB8QD5SSEhCGl8KCYEQQkkgQAgQ\nOhhCs3HAMd2m2YB77/Y2787s7M7sVEm/P2YkXdXR1J21dZ6Hh/WMypVGuvfcc9/3vEnJKcfxKm+7\nTGAUWxWLafvixfeTLHr0COymdXJlTst4PKhDGPUwhUiKsDsYVBIxW24NhVeAoCiyiutRdthBHVWu\nzzOospWZcoI8QYPneFkSmGB1YuhEERAIrPQ7JKsPD8gHDYHciL6fSdTbN17agndf34lIOIYVyzZh\nx6ZOVaEI5TFUCqxdCiHQqrG5fu0BlcMCORmKRFiZAqusTKNK4ko8O8FABJvXH1ElwwmxosnipkPB\nKN5euSOpIrp5/RGs+e9uGSF+5qFPRJs6AbK4VY7DgC+k2sYIpKUU+buzLCe7r8L9t9loccKSlMCa\nsF8yA+X7nc0l60LF3MVt6g8L5LJbx1TLJrlZDSFQHCowEEbnYZ+hl3CnoqiL1nOZbht5LrUiDUpw\nLC+Gpumt8M0/eZQ4NilDtarr4hMZ5TWagbICpRYR7+0OYMGCRejo6MAbb6wEy7J4//138eijj+Kc\nc87H/ff/FT5fH3x9Pny2bTlG1E2C3eZCWUkttm3bgp6eHgQCfjz33FMpt68QYBHYYYx04u9YDa+7\ndEHTlKHHoF4IwYVXnCDGZMVinOn69HYNspwqGbc55I882ZEbZfRLCqz5pflkUBJyjuNl90uItdKL\nRQSkGC3y3mjdJ1U7DRRYpeVKMry5YrvM5YCNcapjqG20pCQuLdVGq9Y3STpjMRY0cV+UoRl6SVxA\n3FD9xcc/070eI6xZvVumRuuBDIvguHi1PC1yLEteY+NlKFMB+bzYbIx4n5XJTcLnpO1RsmfVnaWl\nfuXAfzwQWK3VomRVFXONU8+egBGtFTj5rPGyviebyrByovrkAx/hxSc+w+F95kunfvyuOoY0XVu9\n1cu36ZJHpTOKHgSRRK+MOM1I75RyYpxuuwHJu5XnebQf7NN1ZiguLsXtt9+FF154DueeuxT/+McD\nuO+++/DDH/4Yzc0j8fWvfwU3334dnM4SLJx5GQCgdcR0zJ+/EFde+RV885tXYMGCxYo+06iYc+HA\nioEtQAQGwti5pTvpdmYyCYuKHbLEomxmH8aX441LkipDCE6/YDIaR5ZLZCmqr8Aqwdg0YgpTDIcg\nX1Kel5ayAe0YWwECuTTja2sWSgIbLwss/TsUjCIcihl61g5qKLBmCCxZ6lMksCYVWC2QDhLhcEwd\n16aTxBWJsJpLmLu3qp//PsKbOBpmZYU2lNCz0RKQrkMFmfRoBNKnNRphNQm5EhzHp1yph1RlbHYa\nl109D4f3ezFuSj1WPCdZ0JGk0eG0IRSMJk16NFpdSQXKPscscTjWkGnp2kwxaUajOLEhyTSVRV6t\nJMNCXyIkXJqBVlKvmUlPeVWRyr/cCDYbjYiJZKbBQAQVVW7dsZOiKDidNgxA3Xdm8psL4/ae7Uex\n6mX9ohChwSimTJmGBx54BEC8BLSQiHjDDT/DDTf8DO++sRNbPpV+g2iYxy9+8WvZcS644EsAgBNO\nmI3ly1ep/i5EWApsAeKjd/dhzerdSbczRWAVKko4w/jXBaeNEf+22WhDQqelwLoSvo1CB8rGWNOE\nSSvZILNwCF6mwCbLjtYrFUgilZAGpZm7ssRtKBhTVUlSQoibJJePbSZiYMk4RoFQMIQqngmiEVb1\nbLIKRdbhkEIIzApyZPbuxk8OG2ypVmC1BhK933LDx4c0P08XkXAMzz6U3F8xnZURGYG10SirKMLk\nhNUUCTmBZcR25QPKuPFsJg0NJ6RbPjoXIOOQ8+FCYDcR1mQEM21sGV2V0jG1VrbI8tMCBCstI6HF\noaG4A1I/lw4Ed5tkDiR6eRckworKW6mG3mWCWJTF1g0dWfHNVuL47EkKHPt3mfMINaNcFilIWabk\npJKwW2IYYwKrZaMlZIML6o6yfJ9RJ6+10qVnW6ULXv43eb5kySXJSuMC+stMWlApsJw8wS4ciuom\nwSk79HLCVNyMAkuCojJXYJVQTiyUap+NiIE1m3V8cI+kuPYksXxTqnxaS7p6RT/WvrnHsDSxEsmW\nhs0SxXRcNMj3y+j5Je+HsqyuEKcnoIlIDCuvkpvVZwPHQwiBFrKZXZ8p5Aps7gksbRAGZQZm9k+l\n3zvji5M135cxE+tw2nkTZeKCMMYYElidynJ2R/oKrBBCliyvxYxXrXAs4X0OBaMZJbelgg2fHMY7\nK3fgqQc+yvqxLQJbgNDq51rHqiuvmCGwJeWupNukApLw8TA2idZSYAUiIXSgGz45LFs2NyIDWu9b\nVwam1zzkM+RkRCR+PdnLkNWKgSVJTCgY1e28lMu7beNriO/0r8NoDBU69H07Uy8brIQyU11J4mQu\nBDkgNErCrDUxMlpCDwxoT4y0nsFkZXbNOmXondMI5Punrq5Gaf7tTExqw2KMXfzzUeNqcPoFkzFy\nlKRkGRU6SBfHawhBISFXCqzeociVJC2VM+lxTTwzDSMMPOEInHTmOIydVCe7B5d8cw5OOnMcps9t\nxoSpDbjq+sWoa4pbWgkKp9GKp16oQCaquzDBTLbKaEbEERKChaRlnpc+yzV2bZWSUjNJqNOCRWCz\ngJ6eHixYsABvv/02gLglxXXXXYc5c+ZgyZIleP7551M6ntbMkNHoGYxiIwFg3smjUNeYfhC5FuzE\nTJPjjH1eYzFO9A4VIIQQCNeo9NI0irvTmjFm4v3K83xKCiwb49Dfl71qZU5FpxcOxWTG9qFgTLe8\nL7kkV9tQKvMuNVIiigyqIGUzyUS5RKVHKCORWE5SBJTPhZb6ZTQBTCVG1iiRMZVj6RmkGyGdAUEI\nKxLix4VjNLVUYNxkuZ9kNtR4JQpJiTxeYctVCIGJ3zadSZHSsUWJuqYylFVqrxbMXtQq+3djc5zo\nkiEE1XXFmDprhHhfKIqS3hMhhMBgrFH25QIyCSEQCGyydzxkot8QhJAKYgU1lKcwgvJK6ZzZrI4J\nWAQ2K/jlL38Jn88nvrw33XQTSkpKsHbtWtxzzz24/fbbsWHDBtPH0yQSKXb6J5zYgtkLWw1ngMUa\nytHYSXUaW0ogyVGypCaW5VQkW5ip6nWaDEPrXmqmy1Aq8PIlnmQETlmO9UtfOwEAcM4l09DQbG72\nT3YgWr6zXQk7JyCukOmZ5ZNEn1zyVX6nhJE1kpZBfbpQEm/l5EOYCHEsDy5PS1lKGBFYvRgxrUlU\n40jj396oyhiJVBIABaSj8IgDc0LZEVRcLSV8FKHsWzh2QPYR+a7EpRXOo4WG5nJcdf0iXHb1PNQ3\naZv/C6hrKNUVIOadJJW1dpc4UF0XV4BlYRQag44wMRUUzphBf6H3HtozSOIy2x8o41tJ8DwP/0BY\nJLCVNVK4UKoe6mYx6I/gtWWbsD3hDFNaJokrej656cIisBni6aefhtvtRkNDAwAgEAhg9erV+N73\nvgeHw4Fp06bh/PPPx0svvZTCUdUvU6pdjNNlA8NQcBl0Fl+4eKrqxUtmoSQoqEB84DOKo9GynLLZ\naDAMhdPPn6S9E6VNwErKnJg8o8GwbQImz2zUJOcAQNNSMYMTFrTA6SKy94l7UaoRejEYkDLJr7h2\nPka0VIBhKIweX4OzL55iqm21DdLymbvYWIkIh2K6REqpHDMMJf6nF4+ld05hP9JTNFPs2KT2MiXb\nSD6X/VkK7leuNpDn0yLnq5dvw9srt0MrpygW5VT7ax3jm99bhPFT6rPSfjMDllIhPfXsCXAV2TFz\nXrOqreSYTH4uDMyhwQgYhhInoTab+nrnLGpJOaZaOqf28EJT6t+mUP4TyBxNZ36sC6+YqbgfQ399\nwn+kYkjTdNaOa9NwilGiyG2O1HUe9sFd7EB1bbFhnwYA0+aM0E0UYxgKC08bg+bWSlz2P3OJttKy\nbZT/CWNIMPGe6I2NDEPpEljl+GuWvAPxsCuGSX4/he20nuFP3tuHx+/9QJysl5U7xRCzcCiak2dr\nzepdOLCnF2+t2K5qf19PIKVjJYNlo5UB9u3bh0cffRTPPfccvvSluAXFgQMHYLPZ0NzcLG7X1taG\nVavMW1FokcJkcXZKVFS6UVVVgr5qfXIweVoTJk1twu9/slz8bP7i0YZJZPX1hNrEA1/+2mw88/An\nmDGnGRvWyTPDlYRo3uJRqKqKEzjh/0rEFVj1g/uDX50OhqHjZVKjLCqq3DLTfxLl5UXQGzyL3E5c\nc8MpOLTPg/GT67F1o2QtUlHhxjU3nIIdWzrR1FyBpx5SBJ1zUrta26plRLu0RDvWmKIpWZxicbE0\nG61vMFbu2BinO0smQwGKi52y+1le7tbaBYB2rJawb65LfJJtZKPSPQkYlGRNBcqlfL1nTIDPG4TP\nG8TcRaNBM5QsQc9uZzT3J5/MhhHlGNlWlbL1VSaYNL0JuwiLsXET6vGT352lqXyRxJO8lpq6ONEP\nBWPxzxOXXVLi0rzmxaePw1srt6s+N0LLqCqcd+kM3HfbW6rvioocSX+boUZFhbqSVqqoqiqBp3sQ\n767aibmL2grqmkvLpP4qm79H0JX8XS6v0O+flBDapZdrcf6lMzBqXI2hzVVVVQlOP3ey6nNXkUO2\njRI1tfH3JByKvyd2m7rvPOfiaaiqKkFpmXb4QnWN/LjX3bgEf/mtOS4QCcdQWZn8OeQ4XrP9FRXF\nWL/2oOyzquoSFJc44fMGQVM0KiuL4e0dRGW1O2uhPQM+SeipqiqR8YBgIJrSs3b0qHGOi0Vg00Qs\nFsONN96Im266CeXlEhEJBoNwueRkxuVyIRQyP8hpZS2nmjwUDkfh8fgRDGl3KAxDw+tVy/k1jcX4\n0ldn4sUn4obqNfUlsjCAAb9EiGMxDjWNJfjmDxbCXexQEdiAPyQSg3MumYrR42vh8cSPRdNUnA0o\n+iU2xmpev88XJ6uXfnM2tnzWjhnzmrH18w6sW3MAtQ0lONoptZHj9ZXhiuoiRKJR1DeXwtc/iEhU\nOlcwFIHdRWPq7CZV7C4AeHqltvv6BxWesjwoilKdt7yySF5RheDVvn5tAi5gYCAk+okWFdvl2aZE\nXyP81gLIa2IYWuby0DSyHN3t/RhIHNdd4hD3zWYJRy2QbQwGk/uipgyy8hRFyc4HQPWcCDja3Q+G\npsERnpA+76Bqf0AejyYoSVE2P6WZAfkqAADNNgpoaC7H/kT5YXI7lotfZyQcQ/sRLwb6430TxWgf\nLxpNLbTha/97IsoT8YhLzpmAt17bIfs+GIwYtnsoQdMUKiqK0dcXyErCybS5TRjRVo7KmuKCumaO\nl971SDSWtbaZcdzgdbzDz7hgEla9IpVoPvOLk5O2i+M5cODE7a64Zh4iERbLHlkvbuPx+DV/V/Ie\naJ2Hp+Lf+wfC8Hj86Pep++vRE2vg8fgRiWj3AX6/NO67SxyIxMy/S6FgFF1dyX2n+/uCsvaT16rV\nHkEF7ukewJv/2Y41/92N2YtaseDU0abbZgTyvfF4/LI+q3l0ZVbfA4vApon77rsPkyZNwuLFi0XS\nwvM8XC4XwmH5IBMKheB2m591alldGcV/2h2MKp7P7rAl6qFrz6pYllPVSwcAjgMamitw/ldmYOvn\n7Tjx1NF48v6PZN9Lf/NgWR6uIgc4DiircMmSnMIhVlS1GBujOl9JqVNm+A7oJwEI+5ZXubFw6VgA\nwNyTRmHanGbYHQwevP1d2f0g10/nLG5DbUMpaJpCdV2JrB2kJyXPS+epbSxDdV0xKIqCt2cQLMuJ\n8ag2O5O4D/Lr0SLNyiWkE05swcG9HoxorUAyvjjoj4jk013sFAksRSniVSlKdk1kLJjDySA4KJ2o\nqNiBy66Zjz5PEOve24e28TXivrn055wxt1l+35nse2LabAwu+vosrHt/P2YvalU9b+dcMh37dvbg\nvTd2ytwEWJaPZzkTY1Akwmq+HyQqxDLE8me2qrYYnizEen3hoqn4z783yz5TPmJGbZw+pxk8DzQ0\nl8m2I5NoDhIVkiprijWPlyy5UYmSMpd4nFHja1UEluON210IEPq2bKCiuljWtxQCGEIVo6jstU2r\nT2tqqUD7QakstEMniau0Qq5ikn0TEA8R6la4zlC0vO8rq1SPs+T35O86/+T4auOIlgrN67cTTimR\nCIuwhmuJ2HfqjM/kHIhS9NPJwPNyNVMP3d2dOOWUhXjzzTXyc2tMwHgArsRK22Agis3v7QcArF9z\nQBYrbAaXX34xfvrTX2LmzFm44opLcMapl+GLF31BFrrEsrzIZyZOb0Db2JqsvgdWDGyaWLlyJVas\nWIG5c+di3rx56OjowI9+9CO88847iEaj6OiQyk3u27cPY8eONX1srcxfm43RJXfKpd+xk+vQPBgT\nuAAAIABJREFUNi5uu2UmjkRATZ0k7Te3VeLMC6egrKII46fGY/yU51eqwl/62iyce+l0TJgWj1Ul\n4ze1sjEXLlHfk1QtlVxFdlXYgcNpk/177uI2tI2t1jS6Js9HLlMxDI1LvjkHX75ythjfJCznJ4vH\nIqFcsncV2fH/vjUXi08fl3RfUs0g7x9FUbIQCVWZVmLpWOk64HTF71d1bTHOumgqJkyV4opTJSpm\ncdHXZ+HEJWNkn+XC1N3uYFDfVIZzL52uaanjLnZgyglNcCsrrvG8agDS62TJQWH2wlbNbchEPSOM\nmVgLABitkyil9GcFUsvlZGw0Zi1oQdPICtnnLqK/EEp8Frntum4KmcRGF5J5vwUJZH+SVV9ejUMt\nWCJX9vQy85Wx1sowsCXnTkRzW6XhNqmgqrYY3/zBIpz3lRma35MTvf6+kEokOvWcCeLfNo12NLVU\noKpG6guEd3fGvJG6bZp38iicerZ0XKXAo4VUkj9pihLHhEyLGZBj7EVn/gzB3io89/AnqjFcEGEy\n+a30YCmwaWLlypWyf5922mn49a9/jVNOOQXbt2/HHXfcgd///vfYtWsXli9fjoceesjUcXlemrGc\ndu5EvLkiHntms9E4/7IZeOWpzzFuch183qA4GyUVW7uDwRkXSPE+WslIgDwZ5KKvz8K2DR26A/JJ\nZ4xDbX0pWsbICaDS1N9d7EDL6CocSCxbkvGbWobO8xaPwhsvb5F9lm5dbsZGIZaIq3S6bHCXOExZ\ndpDnU85YhRfUZqeBoHQ9qQzKehVazIBU20j7MpqmDH0cSR9YZ5H5JIJcdDAANDOIc2Fmb7b0qfLc\nHKee6OktHwvv2lkXTdGt3GZ2grP0/EmYf8po+AfC2Kvw3p0yqwllFeq4uuZRqVUb0gI5MLcfiitj\n1XUluhNkmyP950Lzdx4i1wkLEsjs+Gz6MGs5uSiJqd75jPyrAaCqphjnf2UGXnl6gxjipTfpnjp7\nBDavPyKKKXowqr5I9pXP/ONjccLZNq4acxa1weG0idWlworQiZPOHIfmtkrZiiTP8fB5g5g8sxGt\nY6rw0dt7VT7mHMuhinAK2LP9qG77SsriK5jCuR9++EG8/PILoCga3/3udTjrrPMxEOjB+i0v46h3\nPxx2N+zVl2DK2CUAgEeeugV2uhTtR3egunwkvoNTsWzZ01i27BkMDAxg0qTJuP76n6ClJc4LVq9+\nAw8+eB+8Xi/OOutsxIhwiAef+BnmTrsII+om4S8PXIM5U76IbXvfwavv3oyRjZMxfcyFFoEdLrj5\n5ptFMut2u3HjjTdi2rRppvYl4xVJ9a68yo0RLRW46vpFcDht4HnggT+9A0A+A9OqxXzpVXMQjbB4\n8YnPxM9P+YI0y6tvKjO0KXE4bZg+t1n1+agJtZrbC52KnMCqB3WtwS3tzpQYEx1OG5acMwErntuY\ntAOrqpVmyHU690C6nviMNZXqKnr+gALO/8oMrHhuY9J4OwdxTpqhDSvpkPdaSeqMCWzmA5nDaZMp\nxwuXjjHYOrswO7FQPnf7d/eoVxc0HDR4nhffLyNV0szzseC0MWAYGuWVRZr+ryefOR5AfFI4GIhg\n3JR6LFwyBkVuO+ae1IZP3tuP0y/QcfJIApuNBmOjwcY4MT67uk4/sSKb7hQWCgPku5KuaKAFiqJw\n5fcX4T//3ozOwz7VuZrbKnVXEcw+Z8ryyVpYeNoYjJtUh9oMfNCVfaVQ4GX/rt6k1TLfe2OX6rOA\nP5K0GtW6NQewbo1UOnbr51KSceuYahzYEz/vN763EL3dfix/dmOidHcEXq8Xzz+/HPv378H111+H\niooarP7wQbQ2zcDJc66Ef7AXr7/xJEIBHgzGgeM4eP3tuGDJjQAPvPzyv/H000/gz3++Gy0tbXj8\n8Ufw4x9/H48//hza2w/jj3/8HW677U7MnDkLTz31GNrbjwAQxkX5j9rZuxvnnfJjnH/FeFx99VWo\ncI/GbFtqIQpmYBHYLOHNN98U/y4vL8ddd92V1nHIUqTuYgcWLBmDgf4Qxk6Kk0VBPSE7gWmzR+Dz\nj+L127WIkDA4nXL2BLz3+k6cdNb4jJb2vvzN2di/s0eT1AJSpxJKEkKgBS0Ca6YKC6lCO5w2VFS5\nccW1Jybdz+my47L/mQeW5WTFAEgIHaswUUjFViiZKtjcVolv/+gk+PqCePHxz3STIMjfq7G5XBbD\nZhRCoGxrLiorkXAVSQR28sxGTJ+j/YxkC6XlLtEFwGy9daUSsJvI6heg9R7pxRkDwClfGI/3Vu3C\nqWdPkCftaeCir8+SWX4ZKRMXf2M2jhz0YsyEWvFZmrOoDdNmj8jot3Q6bRiMSe9njQGBTddGy0Lh\nguyPzZY6Nositx2V1W4Zgb3o67Owa2sXZi1oRXe75HU9ZVYTDuzuxSlnjZcpsEYrNCSB1VNgGYY2\n7c2tB1Wp7yFeOSBX84rcdpl6TIHG1f/zXdjtdkycOAkXXnghbrvtFsTYEGZOPBsURaOspA5fvvhy\nrFjxKhZMGQeO5TGifjLstvgq7euvP49LL70co0fHQ/uuvPLbeOWVF/H5559i8+aNmD9/IWbPngsA\n+OpXr8QLLzyHaCSGR+9Zq2rrxFEnwWZzousgj4ba0RgI9GRFIFHCIrAFhghRn91mpzFzvn68zOXX\nzEfnYR/axtWIBNboxZ88oxETptRnHOtYW1+K2nr9ma1wfNkSeJrqGJD6AJrqsr2UjKMN5Sxfj4zP\nnD9S/B0EjJ9Sjw0fH9LcXgBjo1FVE4/HomkKPV1+LHtkne453SUOFBGdlzqEgFRg5W03/B2yoMS4\niuzislnDiPKcV12qqCoiCGz6z5gS2zZ0gGU5zD1pFMoSYTgs4QOpfCYmz2zChGkNYBha9QwooVzt\nqKotxqTpjdi2MR43T96ykjKnLE5ZQKYTEYfLJis2oRVvK4B8hiqqijB+SgOiURaffXhQdx8LhY26\nRukZzEXsO/mO2eyMbJWPLKYyeUaTuNpArj4aJS2ToWu5XB1Q9hPCeDZt9ghMU0zMj3YNYNVLW8V/\nX3D5TFEQEVTX8VMbMIeoCrbmv7twYI9HdpwFp43BqHE1ePGJT+WuM5D3CxRFyRRip7MYOzYexZzF\n8fe4vr4enZ0dqCpvBEVJ97Kurh59vriSzHE8XE5pHO/r86KxsVF2jrq6ehw92o3e3l7U1tbKvmto\naMTRzgEA6t/A5YhPiD/94GA8tM+Vg0JEsJK4Cg5kfeJkg1R5ZREmTGuQPcjJiGKuEnVIKAd3m10/\nAU0JLXKRrIygEs4UkqzMQHk9dp3jzztZvkTypa+ekFLdb+HatWLByJg1hqFRRBQkUHYMMgVW8TwY\nkbdsUE1SFUjFtJuEVuynHsqJhCnTkySTSsDOzV148u8fasaaay1dCkqqqyi166YoCqecPV78d7HO\nSkA2ITOyZyjDSZz8ebJh9qLWlJZmS8pyfz0WUoPTZcMXLpqCcZPrc7JKIvTZ8YI68nelrrEUM+aN\nxAkntsj6R6PEVBKk32u6fYxZLDxNHQJVUu5CeWWR7D/l6l1NXbH43UVfm4U5i9tw8pnjZPtohRoV\nlzhRXlmkGZurvCfuEqkoQSQyiE8/3C+uEh45cgSzZs2Gf9Answvr6upEVWW1+G+K6PXr6xtkyecc\nx8W3r6pGbW0tOjul7wCgp+coYjHzqnQ2S5ULsAhsgYFcdk/n5Sw3mQGdSyhJcir1oCdOa5ANpqee\nMwFzFrWldP5UYlTNgDGpYio76nSXsLRUBWXWMOkuoIxhIwlwKup1NsRS8plNNlnSOl95ZRGKS80X\n7SgnyG66SVwktDrZTevj/sZkfLnRtRklhuiBnODlg8CSqxRV1cWGYQzk8yQ4j6QyGC09b5LMacHl\nTq0oi4XcYOykOlz2rXk5ed6q60pw2dXzcMW181XfUVS8MtaJBr6jRsvNpBtAssSvTDFj3khVv2Km\nTyXHoPoRZZi7uE01bmiFKQl9k5Z4NX1ufDVWmBDabHGnnNPOmQCWY/Hxxlew/oO92LhxA1555RV8\n97vXw11Uio3b/wOWi8Hn78YL/34ap512FoB42gjpyXv22edh2bKnsW/fHkSjUTz66EOgKAqzZ8/B\n0qVnYv36T/DBB2sQi8Xw3HNPoaurU6aa64HnefDgrSSu4wGhxAyKoqiUXs5ZC1uxY2MHlhDWHkMF\nlWJpQGApSlqaOefL09Aypgr1I8rw8bv7MHXWCDS1VOjuq4dsZ7grLVJyHROYTIEFFPdUcbnkd+On\nNiRd0paOk/l9YwySy9TbxquqkZg+txl7d+hn3pIoKnaktPogwCiUjbHRKh/mvduPYvHp42Tx6UYE\njpxEFpc6ERgwV7ShsbkcHYd9WLTUvOVeuiAV2OokqwTkAC5YzemtqCjL+QJxO6Gmlgp8+PZeeHoC\nmDyjUWNPC8cazNrJacFouZnsM3IdogTE+xXynFr9jHLSamYM0lqZECzutMSr6tpifO1/F8icZSqq\n3GhqrUR5WSXA8/jlb69CY2M9fv/732PixEk46+Sr8e5Hy/DvVb8Fwzhw2eWX4bLLrsBDf3kPFOQK\n7NKlZ6Gvz4uf/ewGeL1eTJ48BXfeeS+cThdaWlrxu9/dinvvvQtdXZ1YtOgkTJo0Gbu2dKPUZazg\nUxQFChToHCiwFoEtMISC8bgXp8uW0ss5/+RRmHdSW15e6GRQqlNGxIIkE61j40sbFVVunHnhlJy0\nLR0wCsLqyLLCqzqfxotOKrAcz8sIlLLMIkVR+MZ3FyIUjKKqNvOSmKmAtG1Llt2srJtAMxSmnNCE\n/bt61NsqSr0CcRJGkmSzEwu9muZAnKwpfRVjMQ57tnejtoFIvDKIvausdmPBaWMQDcfgHwhj+8ZO\nU+067/9NR3Awqmt9l02QA6RR/CsgJ7BiFSMN9WjitAbMWdymexwjxc2CBRJG4o3SjzXXcDgYBIm6\nJFr9TEWVG/NPGY3+viAWn5Hc4xsA5p00CnY7A7uDwYAvBJbl0DQyvmqn516jRXobG5uwbNlyPPn3\nDzF7yhdx6tnjcfLpE+Dx+FFWXIMl874lbnvF5YthdzCw2WmcvuA7suOwMQ6XXno5Lr30cs1zL1iw\nCAsWLJJ99vdb3wYAXLj0F9I5zrtdts1Js78OIDsuN0pYBLbAQBLYVFEI5BVQL4ErszlJzFnUinVr\nDqBtnLaZeyEgFUU5F+cD5ASW53hZWAOrQSbcJQ64S1Jbqs306Zk5f6Ssc0+mQkQUlW0mz2iKz9Y1\n9rPZGERYObFUlqQ0G99t9J7okeBtGzpQWS0RvWRL6DMTZuVrV+821SYgThRLy/OT8U++k0YOBIB8\n4BGIq9b1Lzl3YpZaZ+F4xcTpDdi5uQtLz9W3iJsxfyTWrzmQl1AbIK6KCn6vgH7/P2tBS0rHtTsY\nVd6EgFTHf3exA/UjynHkgBe9RBVA5URTeG+L3A4x+VVALMbBkcNbaoUQHAcQCKwR6St0pKLAzl3c\nhvoR5WjM0PIklzCbxJUtUBQl+nSK5yRUX57nZZMELc/S9E6c2e5Ol112r5IlSy1aOhZrCIInJMuW\nlqkVSMZGA0lW4rMxgauqLUafR22D1d0xgO5Oyf7HLFk2G5ebb8gVWGMCS95XQQVvaqnAyNFVOLTX\no7ebBQsp49SzJ2Dx6eMMx4zZC1tRU1+iWW0vF1BWusyHrVw6AlZljRtHDnjh7ZH6L4HAjhpfg6mz\nRoj9VpHbriaw0dSUba2KoUbIBYG1krgKDOHjjMAyNhoto6sKuuSk6nry0IEZqb4cx8valKwIgllk\nGhqhrBCWLAZ26uwRGEUo7wJR0nKd0FQ8ecjKn5qtgGVEdI1CLjavj5uK0zRlOs6a7LRbx1bjS189\nwdR+uYagzpeWu1JKOuMSMT80TeG8S6eL1zMyCxXCLFigKCq5kw5DY/T4Wt3Sx9mG8v2w5WGsSscm\nrzKR/NzT7Uc0YccpeNeOm1wnK8PrcquPT8b4m0EkxVCOnNi1Zf2IFjKCYJaeC8uJfMGsb2o2IVTR\nIsvwZQtKFS3V61mUqEZF1rhO+ZxOOYElCVQyAvuFi6aCsdFJq2JNmplZcg1FKzqpJLyapik0tUpJ\negKx1Er+0Ov8RrRWYOqsEZi1oMV00oiRIblWnNaIRBuF0sSpJFeS7T7xlNEZm6tnC6Mn1GLuSW1Y\nen5q1byUccgNzeX4xvcW4pxLzFUatGBhuEEZj5oPsSUtBTZBYEODUdzxm1WIRVlxbFCKCUUaTiBG\nuQFaiEZSK4BhxcAeBxAH18IIZ00LyqWCbNtaaeHsi6Zi59YujJtUl/Vjq9VQ/etpbqvE4f1ejCXa\nccKJLVh46lgEQxFZNad0z8lzvEwFdiexJRo1vgbf+uHipEs4djuDE08djQ/f3muqjUpQFCVrtxmL\nFS3vRy2yqnSCAICSMhcoisJJZ5pLmjADreznSTMaceRAn/jvVJbCmBRCKvIJu51J2Z4O0I5rzpcS\nZsHCUGAoVuDSWYElY/Qj4Rj6PEGRwCoTarVWXVJWYMOWAmtBAZG/Fs5YlzJSqv6UJbhLHJg5b2RO\nAvtTCYk460tTsOScCSoDbK0ZbyrnlLkO8PEZ+ryTRmHCtAaMnZyctJslXZmQLJqWE1ilWpfsfEYh\nB8r7UVNfglMJ8/9sgdFoQ1lFkWz5LZW41rIKKZ43l1WDco0TThwJxkbjrIsKxx3EgoV8QFUoJg/j\nWTr+tmRxGwGCQ42qCILGtkr7wFAwilWvbMXubepS24C8aqgZWElcxwEEBZYaxhKs8kHNRwhBLpGK\nC4HDacPE6Zn7XCrPSXZAwlLRbKIsYbZAK72tUgBFURg5ugo1dSVgOQ71I8qS7kNel1FYKXk/2sZV\n4+yLc7NkrUWiaZrCxOmNOLzfCwAIDkZV2+ihZXQVps9phqvIPqwrUi1aOhZnXzgN/QNB06sIFiwc\nCyCXvikqN0vhSqRTdpWiKDS1VKD9YHy1iGU5SRBT9GtaxUSUSVwfvLkHu7d2Y/fWbtmKogC/z5y/\ntQAries4wLEQQjAUCmwukYoCmy0oVT6KprD0/EmYPLMRM+ePzNl5tZaIFywxjp0l92UYGtf+5FRc\n9j/zTHVY5NIWWSNdaS9D2oYl85fNNiiKwiiiklQqrg8URWHR6WNzMtnINwrVUcGChVyCJJN2h/my\n6JlAayXIDJaeJ1nZkSEByn69yEQIwdEuv+G52g/1GX6vhBVCcBxACiEYvgx2KGJgcwmVr20+CKzi\nZacoYPyUepzyhQk5JRJaBLaiqkhjSzWEWX4qWfr1I8rA2GjUNZZi4rQG8fPZC1tl10lm5SZzN8gE\nWvldFBX/PRaeNgYUReH0Cybn7PwWLFgoLJBkMh/xr0B6CiwgD1WTVSxTEljNEAL9mFatxFd/f0hj\nS31YSVzHEYYxf804a7/QQJJJwaM13+fM14RGSTzHT62XxX8aIZ0mllUU4ZvfXwTGRqtJL9FplhCx\nzUU5TBrS6qiFds2YNxIz5uVO/bZgwULhgezv82GhBajJXnmlORGBzCmIEoRU2bdqhxDoryzFopxq\n5THVpK90SbnhMbN+RAsZIVmt8eEAmpYTrmEfQmDP/xKSLYWKVtkE2VmPHFUpKr5nXzw16b7pttPu\nYDT3JZMKxk+pF0NTxk7MvtOECC0FNo/334IFC4UFWQjBECiwJWVOXHD5TFP7kWJHyiEECgWW3CMS\nVidsRRMK77yTtKuJKWHFwB4HMPKoHE4g42BzXbkq1yDV0HyRcXlBgLycEoBc6WwYUS5ee9u4mqRK\nbC6JfXllES684gScc8k0NI7MnZcqp/H+DefJpAULFjKD3T4E/T+hpM6cN1LWL5vdlySwykm41nUY\nKapaRQsEgcHuYHDZ1fOStisdZ4Wkx8z6ES1kBGH4HO5jJsPQiCL+0Gda4WmoQcbA5iscgnzZ86nA\nlhK2T4OBiOy7ZL6uuWwnY6NR21Cas+OLUBBYm41OqVKVBQsWji2Qq2FDksiYIhmgGRqIcTJF1Uzi\nq9KFgOwJtRRYYXubnUZFlRsnnTkO772xS7bNF6+YiYN7PCgtd1k2WscDRButYc5gbXYaiBcuytuy\nS67ADIECS5LmfD4LpCm98lq1al+PHl+DvTt7AAzPZ3b+KaPw0Tv7xH9zxCWeffFUFBU70qqKY8GC\nhWMD5PiVLwcUch6d6hm1FFgz4oLSB5YjOsOolgKbOL4wVk2e2QSGofH2yh0A4qEPTSMr0DSyQrVv\ntmCFEBQYxAd3+HEBGRgm/6QvV5CHEOSHzJDnzKcCS1EU5p08Co0jyzFzfovsOy0FlozVGo6xorMW\nyO2txkysFf9uGVON+qbkXrYWLFg4diEbv/LUxZWWu1BZ7YbTZcO4KfUp7Sv0yUYuBFpQEliy0pam\nAhuTFFggPk5NmiF5oFfXlaTQ6vRgSQsFhmNFgRVUS4rKTexLPjEkCiwZQpCDpRcjzF7YitkL1b6l\nbEySBYpLnZi9sFXmBZhPop0JZswbidWvbtNUVssri3DFtfNhd9iGzfVYsGAhd5D1+XlKUaFpCpdc\nNQccy6c85gj9Fklgtfqy6rpi9HYHxH+T2/M8jxBRsEUZA8vzvKTAKlZYz710OnZu7sSJJv3DM4FF\nYAsNw7+OAQBJQcxX1n4uQaqh+YqBZYgQgnxUfjEDUoH9+nULAAAdBIEdLj/zuMl1KC1zoSJR0WzJ\nORPw1ms7MHlmE4C4tZcFCxYsAEMXAscwNJg0Ti2MF9EkIQSnnz8Zyx5dJ5b8JkMOYlFO1t9HQnIF\nlgwnU3qWt4yuQsvoqtQbngYsAltgONYU2OFexACQzzCHQoHNRfB7OtCKgSUxXBRLiqJkTgYTpzei\nqbUSpcO41KsFCxZyg+EWAies2JH9tVYIQVVtMa76wWJ88v5+bPj4kCzpKxSUl8uOROQElgw3GMoK\nfYUxMloQcazEwAqB3cPt5dcCWVkqf0lchUdgBRP/IreUlU+uqA3nSVdZuWtYt9+CBQu5wXAroSwp\nsMYhBEB8PBPGNFKBVRHYsDyEwN8fFv8eyhDB4S+PHWOQFNghbkiGEBTY4V6FSwBjo8FF2CFxIaDz\nUPnLDKbPbUZltRu1jYSdFZktO0wUWAsWLFgwC5L88fkKgs0AguBBqqRGq2OCWCIosCzL4ciBPtk2\nUUKBHfCFsOyRddL+Q0jwLQJbYBAU2OGuBpExsMcCbDYa0QibN09beQhBYTwLNE2hdWy14ffZxDlf\nnoYP39mLRaePzepxLViwYCEdTJjaMNRNSAqaUSdxGfEJkcAmFNi3VmzHrq3dsm1IBfazDw9q7j8U\nsAhsgeGYqcQlKrDHxiNWWu5CcDCKMsLoP5cgnQ+GyyOR7UlX69hqQ8JswYIFC/nAFdfOh7dnEC1j\n8pOclAloWm2jZajAJhRUQbElyavTZUM4FJPFwAb88gI3Q+nzfmywi2MIx4oCO3ZyHToO+zB+amoe\ndoWKM744GT1dfrSMyQ+hIkMICnlSQ7YtnyVvLViwYCFfKKsoGjbuJGIhgyRJXAKE1b5YlFUVLJg0\noxGff3QI0bB+ghdjKbAWRBwjMbAjR1Xh8mvmD3UzsoZ8d2C2YaLAkhOtfFWpsWDBggUL2pAKGZiN\ngZWSuPr7guLnZ188Fd7eQQBAmChkoAwZGEr3GUszKTBILgQWGTieQcbA8lzhMtiaeqnaSiETbQsW\nLFg4HqB0IaCoJDGwibGGZTkEieIFzaOq4HDGNU5SmS0UVxzAIrAFB9GFYIjbYWFoMVxCCCbPbIK7\n2AFXkR3llcNjic2CBQsWjlUoFdhk7jDkWCNP/JJchMhSsoXkxGCFEBQYpBjYoW2HhaGFLK6ocPoL\nFZwuGy67eh54/thxnLBgwYKF4QpG4UKQbImfXO0jq3cBgD2hwEbCLHiejyu5BTQeWQS2wCDObiwG\ne1xDZg5d4I+CsMxkwYIFCxaGFoILAZcIPUtOYPUUWEpUYHmeRyzGwW5nCom/WiEEhQY+MQGy+Ovx\njUKKM7JgwYIFC8MDtMI3PJmjEZmURRJYQC5OiE4EBcRgrVGywCBV4rIYbL4R9XrR/ezTCB86mHxj\nCxYsWLBgocCgFD/SDSGgKMDhlNRZyQtWYrAnnTEug5ZmDovAFigs/pp/dD74d/Steh0Hfvt/Q90U\nGazJjAULFo4FcKEguGg0+YYW0oaycmNSAquTxAXIFVghkUvI05k+txlTZ4/IpKkZwyKwBQbeyuIa\nMgR37RT/9r37Nvb86AcIbNk8hC2KY8zE2qFuggULFo5hRLo60ff2m+DC4Zydg/X7sfenN+DAb34F\nnmWT72AhLdAKBTapC4FdO4SAoihZYi5ZThYojNQMi8AWGET+OrTNOO7R9dijYPt9OPr0k0PWhkuv\nmoOTzxqP6XObh6wNFixYOPax/1c/R/cTj6H35X/n7Bz9H38IbnAQ0a4uRHt7cnae4x0MnZoCS1GU\nGHZAVu8C4uEIgiOOEEJQSF71FoEtMAim9QXwbFgAANvQWUNV15VgyglNVkKXBQsWcosEK/G9927u\nzhGTvES5QCB35ykg8ByHwe3bwA4M5O2cqSqwgKTCRqNqZVxwIpDKyRZOFpc1MhYqLAabd1A2tR2U\nvaZuCFpiwYKFQsPRF5bhyD13phXDyXMceI5LvuFQI8Nxh+c4BHfv0gxF4AkCG8sjoRtK9L//Lg7/\n+Tbs/81NeTun0oXATKlXwUorFtEgsKIXbOL3K6AoR4vAFhgkF4Ihbkia4Hke3U8/ie5nnx7qpqQM\nyu5Qf0YosEeXPYuOhx4YHgORBQsWsgYuHIZ35QoENm5A/5r3Uts3GsWBX/8KB35zk4zE5QLs4GBK\nlfuCHZ1o/+dD0gcZDDw8z6PzkYdw6NY/oP3+e1Xfx/r7pXb2+9I+z3CC5z8rAQCsry9v50zVhQCQ\nrLQEFwLyMRAJbILcFo7+ahHYgoNUSnZ4Mtjgzh3oW70KfateR/jIkaFuTkqgHHaNDxNSFVHrAAAg\nAElEQVR1pT0eeF9fiYEPP4D/s0/z3DILFvKL/o8/wqHbb0Wku2uom5IyPCtXoO/tN7N6TDbgl/5O\nUT0c3LIZkY52RNqPIHTgQEbtiHR2wLfmfU0iHNi4AXt+cB2OPvOU6ePt+NOf4XtfIuQUlT4lOHzH\nnzDwwVoAwOCmjarvybABliCzxzSGQIlSElYzLjZCCEEsJiiw0j5a5WTNHjfXsAhsgUEKkB7SZqSN\naFen+DcXyV1Gay5A2TUIbOKF5iMR8SPWd3yoBxaOX3Q++HcEd2xHx9/VSlohI7hnN3peWIbuJx5D\ntCe1RCEuFELHY/9Cz9oP1N8R5Esr1MgIrJ8gvBn26/t/9XN0PfIQvG+8rvqu/YH7AJ5H3+pVpo8X\n2LtP/kGa7eOiUQS3b0uyjdSHxiwCmzOkp8Am4lwTKivZbKGcrPBdKgp/rmER2AKD5KI1PBks65c6\nej4UGsKWpIbup55ATGPA41kWMZ8PvStekT7jrRACC8cHwocOov/jj4a6GaYRJRTjqKc3pX09/3kN\nfW+9iR23/Vn1HeuXFFjKpjHRNQAXDIp/81myqfKt0Ui2ykZoU5rjDkco1AKUoVZ8RIodJu/JsYZ4\nGN0T6PzXI7L5QL6IX3oxsAkFNqp+hoRiBmGVAptuC7MHq4h5gWE4x8AG9+xBz7+Xif9mBwc1t+PC\nYfT+ZzlsC+cDDSPz1TxD9L35X83PeZZF+31/RWjPbuLDPDXKgoUCQOeDf0f5CTMBlAx1U5KCC0qT\n5pjHk9K+ZAU+LhoFaGl4JEMI+Jj5JK6jLyyDd+UK6ThZIm58TJ1sQzEM+ESCGc/zpkQQ2umUJ1yl\nOfCQBF8ANzgIpkR6ZnhCgSX/PtYwuGUz+larxxM+GgXlUOdZZBuqUrKpJHEJzxUZA+tIKLBWKVkL\nyTCcCeyhP94s+zenQ2CPLnsWva++ik0//1U+mqULnudx9Lln4Hlthf42bExOXgGAs0y4LRwbCGzc\ngMN/uT1pvHq2iFem4FkWnMHKTtQrkdZUvUbpIrf4d0yRdEOuLJk1++d5XkZegXglqnRBKniayWC0\nlHBqVuFk3G75B2mquFoENqZI1OIiJIE9dqtx6RW/IcPQcomMkriEEAIyBjahwIo+sMIXBUBSLAJb\naCggk+BMQSqwka5O8cXu/2DNUDVJhsCmjfC+8R+ZaqyEVlyX0QBqwcJwwpF77sTg1i04ctcd4Hle\nl5zlskKTWfAsiwO/uQn7fv4ThDvaNbeJ9Xmlv1MksExRkbSvxyv7jlRgzb7/WoQlk6Xznn8/Lx2b\nVRNY0jGFHTAXY2orKZb9O92+TYvAKhO1SNLKRY5dAhvTCV3JV05IqoUMAFKBVU9g7A7BRktQYIVE\n86GHRWALDMNBgQ3u2on9v/kVBj5dDzYQQGDTRk1FgAtKBHb/L3+GI3f+Ob5tAQyGADC4dUta+2Wi\nolgoXLCBQM5tjgoJnY/+U/w75vWg69F/Ys/130XooDpTvhCe+ZivD5GOdrADAzhw0y803UDIOMto\nr7kYWJ7n4V31BvwbPpfO5ZUTWC4JgeXCYZU/rBZhSZcgRr1euZqr8ZxSDEFgNQilFkjSDsRJZjrv\nAKsRA6tM1OIjx24IgWyCx2mvsRspsNHeHoT2789KW8wUMlCG9wkKLCsQWJmNltyFQFJgM29rprAI\nbIFBKiVbAE+HDg7ddgsihw+j476/4vAdf8KRu/+C3ldfVm2nFULQv7Yw1Fd2cBB9/30jzX2HfjC3\nkF1EOjuw94brcej2WwsqyzYXCGzdgsDmTeh/X+5n2r/mffDRKLof/5dqn0JYdVBWb2q/9x7VNjwr\nhfeYdSEY3LwJR599SqacRfsUCiyZnKqYgHPhMPb9/KfY/8ufyUgsH86eAuv/RJ5Ip4yB5TlOdu1m\nCawW0vmttRVYRQgBeW+OoRCCgU/XYff3voPe5fFEX73+g9MhsDzHYd+NP8bB3/9Gc/KYKpKFEBx9\nYRn2/OA62QRQUGAFkHs4FC4EKKBy9xaBLTDwfAE9HSYQTrxwnhWvqr4TZnlkNqp/w2f5aZgGor09\n6H7mKYQ72mV2X6miENQoC9mF/7NPwceiCO3ZLT7TPMchdGD/MaXKDu7YjiN/uR1H7rpDdxuSCAko\nBAKrlxRKglxaj3l6TU1GwkcOqz5TKrAkQVO+/4Pbt4Ht9yHm6ZXFy2uFXaRLYAObN8n+rQwh6Hn+\nWdmSvdlVLi1SxQaT32fVPqZCCKRzcceIAtv35mp03Pc3gOPQ+9K/4x/quNQoFVjW749PPAgy7/90\nfcZtUrkQKJZzvStXADyPjgfuEz8TFFgRsiQuSYHled6KgbWgj0K30Yr1ma8oIiiwJAHIVyC7Fg7/\n5Xb0/fcNHLrlZvA6yzxmcCxbwByvILODQ3v2AAC8b/wHB2/+Dbr+9chQNSvrCBDL5LrQIH2H774r\nrRKq2QSrUGA1QfY10Si4weT7aGWGqwgsGUKgIIc0sT/5HRfWCDVIc/KrWqInfqPwkcMqX1g9tU/V\nHo1YVNLJwSyU6jgAxBR+2fwxmMTV/dTj6g91hhby2RjcthV7fvg9dD70gMzVgqIzp2SqQgY6MbDk\ncy/YaBHfin8JCizH8fEQgwJaobIIbIGhUGNgg3v3ILh7F/beeIPpfYQYWCMFK5/LtdGuuEckFwxm\n5CRgEdhjD6TCKBjP9zz/HIDCSTrMBmhFzKMW9N7XztfNG+TnAsnIqO/dtzG4bat8H41lfBU0+qCo\noQIrJ3hkYQPyOy0VNB1yOLhzB8IaFbyE30mM9aUo2Kpr4udJxN8m61+1YlHTIdlaiiqnUHJlIQQG\nSVzBfXt1M/kLCbr3yYQC2//hBwDPY+Djj+QOIFkY+I1CCMh3myktE/+22RQhBLJCBtJ3QjlZoDAW\niS0CW2AooMmNiNhAPw7dcjMO3foHQGN5UQ9iCIFGxqyIbJhvp4FM1CRlx0WWlhzcucMqNZshwkcO\no/fVl80pblkCGa8dEzK4iV78WImLNUNgIzoZ/qFO/bCb3ldeQvu995hW/tKBURgDz3HoeuxR9eeK\n9nDhMLqefAwD69dJn2lMSJVFEMjlcKWyKlthIr4Tk7gYBpVnnZ24BmNyyIVC2P9/v0T7fX8Fz/Ng\ng0Ec/tMfNbcVQyqEPpSmxd+Xj0TQu+JV7Pvpj2T+tqrzJYikc2SL9Fk6E3QNX1py8sCzrGzs0FNg\n2cFBHPrD73Dkzj8PaSlynudVCrIS4cPq0BNhXy2Q74a9ulo6zoH9qTfQAEY+sOQ12coIAqtSYCUI\nPrCAEEYgHDjDhmYBFoEtOAgKbAE8HYi/jMHt21PbKZENK4UQ6JPeoYovDO7ckfa+ZAffv3YN9vzw\ne+h++gnsueF6HP7TH9F+7z2IdHdno5nHHfwbPseBX/8KvS+/iN6XX8zbeUm1iO2PT0jsNTXS93kk\n07kE7UpOYPWgl7wY6+tD7ysvwf/Zp/B/nrsYd62YUqH/4HUsipQKo2fFq/C99SY6/v436bgahC3m\n8YiTXHZwUPZ8cCH5uUgyRsbpCtvRDieY4pLEZ8YKbP+HaxFpPwL/p+vB9vfLy9AqICrSwqodTYvh\nDFw4jN4XX0DM60XHg/frHyOxfF119rmg3cWJNqZOYIW46fIlp6HqnPPinxG/ifJ30IuBJRPvQgf2\naW6TDxx96gnsveEHGNCJSe3/8IO4oKMBPRstvfA52XOdhRACIwWWtFejiyULNd4vJ+uUhgsBQCRy\noTASza1KXAUGKQZ26NoQ6epE70svouK0pfD85zVzcXMEKk8/E97XV0qduVEIARsDbLmvTqKEZ/kr\nyTfSATngdT78DwBQVV6JeXrhqKtL+xzHI7hIBO1/u1v8t//zz1B3+Vfzcm5SNRdIg72mFtGjRwEA\nka4uFJXIK1HF/H5wZa68tC9boOzpd/lkcg/P8zj6zFOgnU44mkZIx89hx6W9JB8EU1qqIpXi9wrS\noJUko5kcxvOI9fbA0dCIaM9R+TEVJJQj+rfgju3w2uwY3LoFgY3xfpN2OUEXucT2GkO6f1wwaLgk\nJ6xQiEmyFAXa6Yx/Rly3IQlOKLCU3Q66qAjcYCDlMIdwR7t4rRRjA5VoA3nvlZMfPQWWJL10HqpW\n6VUs63trNQCg65GHUDprtur7zoce0DxeYPMmRNq1VzBIokomSpKfZ+P9MSolSwpGFE2DDQbBx6Lw\nv/sWQE8m9iJiYFUKbOEkmlsKbIFBTC4aQgZ7+M4/Y+CTj3DotlswuCV1r1RbRSWA+HIaz7KGIQTd\nzz2XdjvzjZovXwogPoAp63wrcfjPtyXdxoIc3OCgbMB2NDTk5byh/ftkYSCCSkETVYqi3V2yfcId\n7dh1/fex5abf5KWNWUMGyYsxQoUObt+GvtWr4HltOQKbNkgb5bDf0s6YDya+01FgiX0CWzYj0tkh\nfZd4P5WxmgKEVRSlHRcfCcvebZKMBTZtxNFnnhQJHRBPlhGUbyN1kw0GRaILAD0vPIcj99wp26Zo\n/ATxb3FVIBFzSdG0mJhD3g+9JW2e58W2CwQW0L8fejhw0y/EvymGAe1IkGiCmKlUSY7T9g4nJgeU\nPbcEtvPRh7HvxhvUyWbE/dJbsRBIuhKG7h5kEhv5/BD3Kbh7l3Gjk6B/7Roc+L9fyj4jQwhI4szH\nWOy78QbsveF68B59yznGRouqrljMoEBgEdgMsH79elxyySWYM2cOzjjjDDz77LMAAJ/Ph+uuuw5z\n5szBkiVL8Pzzzyc5koRCUGBjJv0T9WCrrBD/5oJBTVseAX3vvJ3RufIJR71EqMzYCmXaGQ0leJbN\ne3iHkoQICSnZRLS3Fwd+92scfe5p8TNlwoig5vGsNMhEj8pDQjzLXwFYFv1btxVMmVUz4HUSTMwg\n0iuVaSUHfTLBKZfPjKBUFY0bL30mhCnpVRAjSEP3U0/IvhMIBRn/bK+uEWMDucR1xRQKLHheTkaS\nXHO0q4sgh9r9hn/jBuz5/v/Cs1yyI/R/9qnquau5+BJxqV+yKRQGDVpSYMnktUSFtcEd2+XEicx+\nt9vFogZcMIgj99yFQ7fdkvLvyUXCBImW2qBV1lerD+195SWpfSnkW6SD/vffRczjkVU4A+TPA1NW\nqrmvo7HJ9Hkczc3x45L9GyHqkDHVgY0bTNnF6aHz4X+AVXgYy1wJiN8/0tkRv1aOAxUyDpGSlZMt\nAI4iwCKwacLn8+E73/kOrrzySqxbtw533303/vKXv+CDDz7ATTfdhJKSEqxduxb33HMPbr/9dmzY\nsCH5QQHwhRYDm0a2vqDAAvFOdqjiXLlwGIHNm8ClWV1GCTJmSFBSKLs94+MWGniOw8Hf/xZ7b7wh\no8405fMqSUgOFOyuR/+J8MED8L7xunhtTJG8HrwYr0c8++GOdgR37RQHVXLwHcpkk5SRwT0N9xC+\nqiQRkqk6ubNHEhKkyP5FeA/JZdjS+SdK+xCxlsoENqF6VjBhm1Y0cRJaf/Zz2BLKu/AbC+SLIZJe\nZMvBSa65ePpM0C6XuK1WAmn7PXcCPK+bQCdeg8MJJtEPidZawqSEpjQVWC4QQOdDD+Lw7beKft1c\nNIq+d98Vt6FsdrGNwd27ENj4OYK7duLQbbdgYN3Hhm0iwQUC4tK/TP1OhKExZeXiZ1GPB0qE9u4R\n/872uNH7wUc4fO/fMLhDntPBDgxg4JOPcej2WxHp7ETMK7WLzNQnQVY9Swahf5FNesgQAkX4i7IA\nRKqgFZNU0gdW9q4SzwjDy++1kn6Q5WQlfXroOYoVA5smOjo6sGTJEpx77rkAgMmTJ2P+/Pn47LPP\nsHr1arz++utwOByYNm0azj//fLz00kuYMWNG0uMK4wNDU2CYoX9A0hnwHNXSAINwEDRvTIJzdZ1d\nTz8B3/vvoXzxSaj7f18xtU/x1Gkq03ABjnKpM6MiITAMBbqoCKxOPBdjt8W3ScyAzdSkLgTE/ANi\n5nL/e2+j5pxzNbfjOQ7s4CBsRGxoRtcaVRDYWDTrzwZpsxTZvxcl06aBKZIvB3KRSPy8ZAGOTz6G\n/5OPUTx5Ckb++CcylebwPXdh/D1/w3AApWdSaQJcKASEgmCK3KBA9AvEoEhxbM7eZ4EAMCXF8WQX\njgOiid8qJpGDEVdfg13btsadA6LSM8S45QSWioUR2rZXJMYjrr4GzuoqcTs+HATDUOKKlLO5GYNb\nE89P0I+jK5fDPW4cKIMQqdqLv4yyuXNlKj0VDYNxOTDw+efoevpJ1F92uel7YHO7wBQXI3oU4IOD\n8f5FOC5NgxGWthVJUv7P4rG/vS+/iKKWFvS9/y78n0kJd47yUvG6Sa/v0L696Lj/PpT/Y7bMLkwP\nXCAgvk9cJAyGocDzPPyfxmPMa849F13PPQuwLDhvL5hRrbrHothY1p6l4M4d2H/rnwAAA+s+wcSH\nHxW/46MR0dS/86H7UU/E3TMOB2iKh2/N+3A2N6No1Oh421JoljDh4MMh6XrIvmX9J7LtKd7cO+Tf\nshl8OKyK0ZW9mxBCACjx2ALISbhyjKYo+bjsdMUJeyzKQpBgaTp3Y7cAljXurywCmyYmTpyI2267\nTfy3z+fDunXrMGHCBNhsNjQnlg0AoK2tDatWmfNQFBSOkhIXqqpKkmxdmKgb1QxhHl1s40E5jWOZ\ncnWd2xKlMn3vv4fx3/5G0u2LmkdgwnevwafXflfz+5qWBuxN/F1sA8qqSmBzOcH2a26O8nI3Solr\nq6go1t6wwBChJELO+H26v8/22/6M3rUfYNptt6Bs4gTZd+lcK+WQLwjZKD7rzwZls4nKDuPpQlXV\nAkQU5+WjUVRWFqNdQ2QJbN0CW+chRDslpYwLBgvyXeV5Hjv+dAcAHhN+/CNQDINIUWpxhWO+czX2\n/P1B8d+uaBDFI+pkx6EJ8ljkoHN2L9q5+O/mLi/FgNMJNhhEsYNCVVUJeHtigLbbUV1Thn0uF9j+\nfrgT3wNAV1kpyPWEUieD/kT8bumkiagfMxIAwCQUWAdYVFWV4GB/nNCVjx4lEljfa6/Cu/ZDeP+7\nCsWj2nTbPO5rXwFFUQi2t2N/4rMyJw2bi8a2u+PxrYfvvsv0PaisKUdvZRlC+wEHF0VVVQli7vgq\nEM0wcJeXwguANiDVh/8qJUq6GurRfMmXUT9pDPxvlaEf2gpgqZ3HgcceARuOYMKPf6hvuB8Kory6\nAkcQn3BUVrjBhcOiSl03Ywr63qxGuKsb9pAfleVF2PaHW0E7nZjw0xtgr6xA1Bu/3+4sPksHdstd\nZ9iNUtImw0n3KtLRgdJi6dm22xlwWz5Hx8P/BACMuPhLaPv6V3HYZl6BLW1ujLtz+Lzi9XiUla8I\nlDholCW57qjPh21/vh0AMPPuO1Dc1iZ+RwGgeA48FT+H2+0Qz8sT7y1JYMl7AMQnQ+S9dxc7AfjB\n0FI8rLvYmfN+7+hR/QREwCKwWcHAwACuvfZaTJ06FfPnz8djjz0m+97lciFkthRjYsIRGAzB40m/\nnvVQom8gHgfFRyLo6+oFk8S6Z/+qt1E2e05O2+Tt0WGZBHjGjqCzFNXnngc2EED5wkU4cMvvxe/7\nIxIB6t1zELH6ZrAGFmE+zwCiHj9omkJFRTH6+gLgMkiiyReiXum587d36T6HvWs/AADs/Ot9GH1z\n3FImk2sd6JEPnJEsvwO8InHE3+uDx+PHgFfRSXIcerv7EA1pK+uHX1+N2IA87nP7Px5F3cVfzlpb\ns4HQ4UPib3TwnbUonXkCAv7U4nXtcxZg1M0t2HfTrwAAngNHEC6rlh0n4pdo4b6HHoFz4Sk5CYEK\nJ84T4RNL5cEg+j39oD1+9CeeHdrphMfjB59QCwe8A3AkniFW4Xbi6TiK3g/jy+PumbPgSbyrQizo\noLcfHo8f0WB8ZSDmlPox72dSSFhg337dNnu98djCWFh6Fw6/swZdzzytt4sumNJS+DkGnD2+1B/o\n9cLj8cM/EP8teABRW1z9DHnMVUwsnzYVzjnz49dJJSouaYxV7R99iu433wYAHJq/ACXTpsfPqUgQ\no8srECCslnq7vLIY6UCMAlNRBXR1w3foCGLvfQjv+jiZ7NiwFUyZRGD9Pn/W3v9wRN5P77rrHvHv\nCOmQwDDoJ/q/SDiKzg8khfTICy/CecJcxAz6fSW4sviKZOBIu3g9oaB+qd++bg9idcbXHTokTaC7\nNm5HRZk8X4DiWZHAhiMx8bwDPu3j0ooQAp7nZfc+cSj4+gYRi8UV3uBgZMg5ikVgM8Thw4dxzTXX\noLW1FXfddRd27dqFsCKWLxQKwe126xxBDqFD4Pnk8nmhgmV50EVusJEIYv4AQBs/Zkf+9lcUP/Ro\n1ttBOV3i8mC415tka4CnKLAsj+ovaRMRjqdQNH4CBrduwcCmjSiZvwBGK7KxSFT2G3Icn7XflOd5\n+Nevg6OpCU7CxigbYKNS5xz1eJK2mde4rnSuNaZIcGEjkay+A1xU3knHgiH41n+K3pWvqbbtXbVK\nZo9EwrfmffX2y19F9YUXZ6ehGYAdHETkyGG4xo6TRf+EjrTDPW2m4YRLCxxPwd7YDFtlJWJeLyK9\nvXCxPDgiwU2ZWe/fvgPu8ROUhzKN0P59oBgbnCNHytsi9Kt2hxjryQbDYFkesQTpohxOsCwvZrCz\nobD4DFGKiXRg+w4x4949c5a4nUBgY4NBsCwvxQ06XfG1VZ43bfYvHJN3SO4CXU89aWpfJdr+cBs4\nigGViKmM+QNgyd+CokGXxJOOTJf8phnxXVXeHxIRrzS5jPoGxOtSkt2ar1wu+igDQCwYlk324HKD\nqaqKH7OnFw6/lDy079f/JzsWq+g/MwFvMKEiCy5QNjtYokoYx7KgKblaGvZ4Uyo4xNTE7RSjPT2I\nhaOgbDbdvgUAYoGg9NywLHpffhHOllaUzpkrtYtoExeLqe4TzXOyQALhe7Jvl7VRqcBCzj8EK61w\nmBXHvELgKFYSVwbYsmULLr30Upx88sm477774HA40Nraimg0io4Oya5l3759GDt2rKljSi9G/uMl\neZ6Hd3V2ykUKy3Dc4GDOs0n1YK+VZqWkfY4ezNzx4oTyMChmrhsx2Nwlrw188jE67r9XZZlCgguF\nEDGonqQHMnGPNL422CPlc2hB6UKQ7XrpyqQQdqAf7X+7G2wio560zepZ9qxu/LdecsneH18/5FXY\nuv71CA7ddgs8ry2XtZNLJFMefTo98mRPkA6hQpU8CUVRmUrHEcAMYn19OPj73+LAb29CrF/+7AnH\npV0uUA4pzlL2XSIG1F4Vr3QU2r9f3F+ZeCP4dVJOF2xVUmUkm1uyvOJZVszcpxgmpaRNwS0ASCR7\nppD4owRTUir2qbaKCrH9PM/LrBeFRLNkZXfFNhJL4UZFLshM+c5/PgjvqjfAx2KqyYu9qloWMsZF\nwrJEUNrthj3hLhLzeIyrq2Xx/TdKuhKT4QBQNkae6BSNqooLRNqPILRnt+lzO2oTfuA8L7kxsPq5\nJeQ97Xv7TXheW46O+++VbUMRBNb3/nsIKap5UUQiF0tYmOklZSfLUxHKyUbCMTHRvAByuCwCmy56\nenrw7W9/G1dddRVuvPFG8fOSkhIsXboUd9xxB0KhEDZt2oTly5fjggsuMHVcQYEdChOCgY8+NDXA\n2esbUDxjpuE2AhkYShcC2impHmYIrBk4W+JJB+zAQFwRMpiKZ0LcYwP9OHT7rfC8/h/N7/s/WJP0\nGIf+9Efs/9XPxCxr05BZ7eRu8hHatxee11eKyppywFJmd3teX5mR7ZryeEKRAgFCtSRx+xQdOGJ9\nfWi/957kG+YQQkJI74svyO4nFw4hsDW5p7OztU3zc1tlnMDGEpnj5LFVRCODzit88ID4t7JankB2\naIdTZdgvPEOCP2fx9MREc9sWkYAq38eBTz4CANirq2QhDwJRjHZ3Y+9PfoRYgnRQNKNbTUkJ15ix\naPnVr8V/UxQlZvmnA4ogmu7JU+PtO9od79cIH1imVNv2Sfe4BLEzKjPc++ILsn8fffap+LurQUBJ\nV4/QgQNiwQXKZgftcEiTod4ecfKohawSWIMKV2SVPYqxKVw1Yirye/SZp1I6t42o6Ce+PwYxyuQ9\nJa0Y9XzFQ3t24+DNv5F9RhP6q//jDwHEx6yeZc9qHoMGL0vwUr7DggIbjUgKbAHwV4vApovnn38e\nXq8X9913H2bNmiX+d9ddd+Hmm29GLBbDKaecgu9///u48cYbMW3aNFPHlXxg8/94KO1F9EBRFGii\nkxIM/kkIBJYLDh2BJbOj9epNN157XUqHZEqkAYL1DxguJWVy3T3PP4fgju3oWfaM5vfkEqaWUTnP\nsiIZOPTHmxEiiEFSELGrJOkLd7Tj0O23YuDTdfJzpinAdj32KHqWPStmACsJBk8s+Yf270PPsmfR\n/fijiCiKCpiFkowrDeqVgz8fTfL7ZaCo5QLK502mwIbCsvdBD9UXXKj5uaTAxkNxjIicVsEBsyAt\npiJd0uoBH4uJShlTVibZRSWIq3BOgdi62kbF9wuHRc/aWJ92GFFMYeckENhI+xF5QlMKZT4rl56h\nqsRnRBCTgnAAcI0aBcoWV4IP3PQLdD+RyLmgKF3bJ13QJIFNjWAPfPKRrB+qOi8u0tgqKuAaPQYA\nENjwmagG08UJBTmhwLI+n2oSSSKr44bJ346yaRDYDMu70na7qNwLbhRGRW7Ie0qSWfJ+aPk5k+0m\nFVg+cf87HnpAVrBFCYaYsCvZh0OmwOpsNASwYmDTxLXXXotrr71W9/u77jKfWUpiKBVYMwMcgHhH\nSXTGWstqwiycHRw0nG3mEuQLPaijPqVaWpMkOfHOQJ+9hduPIDU9RIKSXClBLjPxsZjqN1AO1gd/\n92uMNxlnzOsosO1334loz1EEd2zHuAf+KW2TSkAYAcGqK7AxkRCjWFaT1ZgnEkGiXV1w1NWnfD6l\nAqvMtmaK5c4JyRQgxu3WHBD0ylPmGjGv9JtTDoecwAYHNf1HldBT8GxVggIbX2Jd+gIAACAASURB\nVI40qijFm01Y1QAZshIhwrBivj5xdm+rrJKqPSWIqxhCkCC2ZBGMg7/7P9jr6nWXfcsWnyz7t71c\nx/szFSKjsa3REn0yCIRVaIetqkpVHQ5pKLBkCAE5OTcDLhSS+eFWnyetMjpbWxHauwfsgF+0nBPG\nBDsRrhHctVP3+PlSYGXb2WyycZCPqUMI0gHtcoGNRsV3w2h1TiCtfW+uxuCmjVJbolFAKK+rQYBJ\naz/SC5YCBy4aJcLedNrIxwBou5Q4RB/YGOjE/aAKgMFaCmyBQeQCimcjuHsXfGvfT5ssmDq3AdEk\nTbxBydUErZrVNBkDm2QZ2k5UuMomzCzhU4xEYM3cWaakRJxdsAMDhjt5Xn3ZxBF1kOR3Jiv6aHX0\nnEYBAt9adfKR9sGJDpx4Jsia8DJ1JEvPpPL5IwknGZ9qVNtdC77330X7/ffGfUENICzNiuePGiuJ\negoRuSSZT7BE3CPtKpJPAAIB3RKh9lpJKdQjMQLpiHo84HkeMa9+kpCZKnV6IH8j8vcnybmtslKM\nsxRiYIUYTSqxTM+43eIqETswoE9eFy1G1dlyn2NHRYXmtikp7ho+yEwGCiylsG0SJhSybSgKtN0u\nWx1LelzimkhiaQZcKCSp7TQt84llxGphAXEb4bch2x5VVjkjj59VBdbkb8fIY2Ajhw8jtG+vwQ4m\nT5+4djGW2GBsElYaup96XPa5rL/RILAs0e+QMa0UzyPalTwXQlnMgIQUA8tKMbAFAIvAFhhEBZZg\nsDzH4dCtf0DXww/JZmTZRLJqVSOu/zHxL0pGYCmbHY1XfwdgGNR+5QoAiiQuneO2fuNriZNnv+IS\nYJLAmjDnlm1P0yKZj/V5VXGS9vrUlUFN8OQyvkbNcDKEQIPAal1718MPmTs1+XvwPHpfeUljeZo8\nZ5YIrOI5YAeD0meEonn0+WUpxfV2Pfow/Os+Qcc/7tfdZuTPfomK08+QfZZMseSCQc3kEK0KQ3mB\n7HeTW4axAwOamfOlJy5A8cwTxH/rLSPbq+JWQHw0Cs7vR9Srf41kwg8QH5AP3XaLrEyoHmIDJIGV\n2i8QWMrpBF1UJE6axRACUYGVilLYqtUkT4n6r10JW3m57DO7DoFNRYGlKC0FNpMYWPkKi71ag2wm\nSLNMbEh2XOL5tVVUpLT0x4dCogIuuD6ITRH7/4C4jfCb0U6nKbU3u0lc5n47PhZT9Z1kdbB0Iajv\nnAkFVm+iLYs710gCkyWjKRTYcLtxhTcAoMmxTDGuiQosUUq2AARYi8AWHDTqDJN1x4N7dmc9pjS4\nexf2/vB78K9fp7uNTGVVxMBSDgdK583H2L/dj8oECRBisWL9Pt14OUYsr5ja9fR/sAbdzz6dfD8T\nSTipEliAUKN6e1Vxkg3fujrl42mBJHNaRIrMMhbuQ9fj/8KRe+7U7IRTgoJI9r7yEnzvvSNvXxrJ\nXTGfD0fuuRO+995VfcfHPVkASOo+Hw5JlbOINrG+Phz6482pn18nLMM1ZiyKxo5TLfubGUBn/+Pv\n6vPoxFpmAzzHwbNyhWY8myz0g+NUIRhaqjxAiZNNQJ74SILM0o96vYbXqFRgPa+tQHDXzvhEKNnK\nQkD9XAMQy3vaKqtkMfjcYDw0InzoUKL9EoElyawetN5/XQKboQJLm7RSFFD7FalCl/LcNi21NEGw\nbSkQWFncpM0GmxYx1ts3FhNXKWiHnGCLCmxgUFJgiTHEVlmJZBj4cK3ptmQLfDSSXshbksmNkFyY\nEYElRAOtGNhDt/5BOh9JYHkekfbk5a5lCqziPXW4Eh7BLA82QZ4LgL9aBLbQwPNqBitkwQLx5dDd\n3/2OFDeYBQQ2b0q67CfrQCmFApuIv6SJOEyhg4p5vSp7JAGMKxHHlkL9dJ7n0fnPf6Bv1evwvL7S\neNtEJyEkFGghHQIrdPKx3l5A0dkx7uxX21JOAJSElo9FEevrg++dtxDYuAEDn3ycEoHleV5mdcNr\nFCDoflK+nBXav484gLnz9L7yEgIbN6DrXw+rvgts/Bye15YDiGfCM+VxEiHGAqep0psJuSFjXxuv\n/V8ACQ9hxX0unnkCxt0vV7Gd1dWq5Vw2hwQ2sHEDel5YhoEPP4B/w2fyL8l7xPGy94r1D8h+YxIV\nS8+AvbYOJbPnaIYDAYCtvFzsA2KeXtmSvhLKvoQM+UjmnypLVCEJbOKeChZSQqwnOzCA9r/dLS6R\nUgSBTYlwEnBUlGt/kUJ5ZC0F1laRnLSRIFVKZT+lpcAK50wlDpZVWJ5VLFmaShMJciqfLAgJW6yv\nD4HEqiH5bNHF5vrJI/fcmVJ7/j971x0mVXW331um7Oxsb7AsSxPpIKiAxFAUu8aeGI0lfmqiBo0l\nxl5BsaBibBGjoomfNcaCRgULKAoC0qWXXdou29v0e78/Zu6dc849t8zsLrt+8D7PPs/O3HZm5t5z\nfuc97+/9mYHHWPIQra9PSwJjZ6+mSwi0c3P6M9+QofE2OGBguf0h0deRLgQClKR9lwVoL1gmgHUn\nn6VwKLFflyTq0DgUwHYz8JK4IrVJH7dYYyPUaKTDHmwAzoIDYoYpCALFdPCCQM12Rw2HdfbEcMpE\nh5YKA0sOgE3fWc/QtSDOqkOn2u5Qy5nUA9Ya2k4OoEA7MmlJCQETSIX30stBaiQChdBrxlqaTTVW\nod3Gmfi+l+Zg243XoWlJvGqTE+Z6z9+IJEUOG8BDlPAjVJiBcw9R3lKQZL3D1z67VdauFZx8/2Ry\njbZUq4aChvsh55eT+Pc6w3g5NZFPhyUnk5zY71A1SAjIJUHFkG2vQfL50PfBh1F6Nb+EMhBfPncn\nZAThqipLDR8bAKRiZ0e1mbhGJBEwuxL9ivadhyorqOQUKgBPM/lGdLu5OlJBlPRMe/uTcALYPHtJ\nA3UKqo+lAyQ+AyuYbzMB+1vlTT0RvuHOHHMAoPq1ufFLu/gMLIDk5IIIcknWv/Dc8/X/Sy67HO4e\nPfXXratXtSvvI7h9G5qWLqGW162ghsNpkUN2RAirgeWxvJ6Ec0asuYn7mUlNsF3fITIMrJX7QPIY\n4pwsA+tJfr5wKL5f14evhwLYbgddXmLCwLYHrWvXUL5y+jUdJTsRt4og0A8sJ7ggl4jMzPS1Waut\nXREBsiOKVO1D87KlaFryPXdfPYC1YEXbw8BGqqsN20QmgE3bUojoQBQmmYhNElKjUbT8kCx3qCoq\nmhbzfWL3v2UsYdn83WKo0Sj2zfl74vgUg0WH44uUnWS2DBnUBARJTN4bGovIaZOTgc2JbydvNYHb\nLpN7hbUuilp4W2oIbt+GLdOuRvWbqZUUJZ8Vg4yDlBCoquF3DO2qMJ4w0c04cU1wJ/wsIzXG+x5I\nrnSEGMs2clK3e/bjltcgB3aKga3TJATxfsVMQyk6YGBdRUWQCwrR40pzFxmZ50Qgiig440zzY0jp\nAef7dLJsToL83tyMtp6bcJV4HDIG0EVz2Ek1Cf/hh9P7ShJ6XX8jin93if5eyaWX27fVzWpgjX0u\nzcAmPZezxo5H6bTrUX7nvcg5dqJRasEZn9o2bkDAJrlKVVVUzLgf+154DjX/ec/2M2hIZ7xlJxgs\ntElcUkJgPmaqkQiXBY7W1yX7PJu+T6CSuBTbBFaAKSfLnN/l5jxL3SCCPRTAdjdwNLAkA5sughUV\n2P3kLFTOnGGwwHHEEpJLYgI9mPOOl3Ny9A8RqeIHKyIRpDidZSuEnRJUFXuffxb75jxPVdzRoWkq\nLZar6I7H2IbSa68DBAH5p56uv6dXkuEwy+wSrJXdEA+qqsa/C5KBZYIwdsIR2rULNf9+m9hBMS10\n4MiIPcUA1mlWKsmEh03uCSA+iOr3hmaTxLs/HEy8nEwgyOQaXpAquN3w9h8A3+Ah3ONZBtYs25/E\n7qdnQw2H0fD5p6b7hPdXo+Kh6ZRmmJLbsK4NlIRAMQxCPAbWVVBoeM8MHm3ixtESl999vx7AhSor\naLkCqee2cWgwlxDEWW09gDVZVRFIDa9JAJs5fCT6P/wYsseNN20Hm9gFxO9LQZKQOXIU9xiSneUl\nfFlJmUi4y3qj+KKL4SnrDcHthpyXj/wzaOaXp1XVNM4ZA+mglFcZrdf1N6LwjF+hcILxO4ivsCW/\nR8nvN+xjOMbAwHIYbOLZIsuiSn4//KNGw9u3r2E/wCiZitTWYtesR1A5437dio9EeN9eVL/xuqPM\nexKePvEiNU4moCxYBtqwnZUQcPouOSc5AYo1N8FdWkpt3/vs06ia+3L8hU0fTdtoqXEbOhtQEgIL\nBrY7oXu26hAoONGvmKFx8TcIbNgAieiQY80t1LKpMwZWgqd3OUKVFSg88xy4ior0beT/5P5ybi6i\n9fWmtkfkQ8/zMuUhZjIAtm38Se8A9XNqDKxlAGutk/OPHoMBs5+hOmTLJTpm0GSXea2gKgp2PToT\nMSYAMlSoYn6v1tUr6WtaaLi0qjCR2lrI+flc5q2zGFiyU7SalMkFhXoAVPvBf5A79US+72EkAsmG\nQbezwgLYANZ4D/a56z64evQwZSnZ+8vq+w/vr4YajphWICI9ZPc+/yxCO3cguHULssaNR6RmP+Vw\nYHhuyUmPopj+jlnjJ0D0eBBtbED+yaeatpWFxsBGOebzUlYWQhXJYCJSXQVJKyZg078EK3ai+tVX\nkHfSKQYTee2z6BpYTUKQw0+0chEsp6kG1oE2lptwlQhKSy65DE3fLUb9/M/039E3dBg1GeAlALry\n8tDzD9dg3z9eMCUNet96BzIOG6i/7v/o44AgGgJCXsAUS0yWZTMbMAIZg4cg+4hRcWuvgHF5nWRU\nrRhcvT3MPrzvjwxEM4cNR48r/wApw2c4loUaiQDEKkl43169P2j6bjHclRWINTcj78STIQgCKqbf\nByUYRPPSJbbtJqGvpKQhWXAsIdAYWI5Mi/zdYk1NXJa26ZuF6HHZ5bZ9NJ3EpVhWPNMgWUgIJEmA\nKApQiPyIrvC6ZnFQBrCqqmLfvn0oLi6G1M2q6WigJAQm2dPaYKeEQoi1tBiE/UokwrVOYpekHWnx\nRBG9b7sT0bo6uHvEfVt7/vEaqOEIPL3KuIfIefmmyR75p5xKBaxqNAoQr1t+XIHw3j3IO/lUis2I\n7OcvX/KW81UnDKxk/wiwgwfXwkY7nyDAP3oMWn5cEW9DCgkB4X17ucbeLIvI/l5sco5ltZVMPxq+\nWIDq119D/mlnoOCsc+hzK0rqCVMOO3yqtKkFS5nzy4mofv2f+uuGBZ/Dyylxyg5s3GuGnASwpISA\nx8C6LDtr1h7JLFFJCYWw47ZbjG1UFAiiiL0v/h3BrVtQfuc9kDL9VPW4LdcY3S0M1mbk7xaLmWqZ\nC848K1mfnYO8U05D/Sfz9IQ2DZ5CjYE1BrCiLOs+n3EQ3xeZ6c5xOdj7/LOIVFdh79+f1StoAcnP\nF2tOaro1BtZVVARv335UMmHx7y6l9JtmtleCg2QstqwweT45Nw/5p5yGzJFHYOc9dwCCgB5X/gGx\npuRzFzHp97KOHgvfkKHY+me+3pi9l3jt0FBw5tmofT+5NE7ed3knnYL6Tz9B4fm/MZQPFTMzbRPc\nyO2CKKLXdTcguHMHpKxsVP9zrnF/JqDmWYapTDJv9rhjLNugH8dMBsj+LdrQgPrP4uW25bx8ZI8d\npweJbKESOzhhms3gNIlLY8N5Y66UmQlBdsWTcpuarHMR7DSwoBlYbps9XmQcfrhuzWklIRAEAW6P\njGCg46zNOgIHhYSgqqoKf/rTn7Bu3TqEQiFceOGFmDJlCqZMmYING5yVTz3QEIR4gBqpqTEVoGvL\ncTvvvxvbb70ZIcYqw8yAWa89r6rxB8mBhEAQRYhutx68AkDWUWORPeEXpsd4yujA1t2jJ4ouuAgD\n57yMkl//hmFgCYsQRcGeZ55Czb/fQfMPS/X3dj0xy5ANr4HtrEhbJisGFmloYEWfjzsQayC1dakw\nsGYDroFFZDo21h7JKjhUo1HdILtu3ofGICgSSYOBdSj/IANYk4z4sr/cCk+vMmrQCmzZgpaVK4yX\ndcCu8iQE7ISG9D7lDUS2+jamwpIZA2tWXU0rt9z8/XeI7N+P+s8/s7yeBj3Aa21F5WMP6y4O+nYT\nGzC7SVvhOedhwJNPI+uosdT7ngQDy2MPxYwMJmgh2GCSVQ2HKDmIqqrUpJTaNyGRoIoYEJn8BWef\nm2xbnz7InTyFeobMPqeTCXv+CSca32SCPk+vXhg452UcPudlyFnZcJeUxJlHUYR/1BGm57YKlHgO\nIKZtPO0M9J3+UPIN4nMVnnMe+tw/A3knnkwdU/Sb36L3LbfbetqS29VYDJkjR6HgjDORM3ESii+8\n2Lg/I53inV9xMJmMX5D+DtjnnOzryXun+fvvHJ3ezI/XzpuW/YzUNrsAVtfAJiYZvHtQkiBlJ9w1\nTBhYDTwbLao9DAPLwj/6SBz29HPIHJYs3kIzsMZjtHKy+nm7noA9OALY++67D42NjcjNzcV7772H\nzZs3480338TUqVMxY8YM+xN0AQRBQP2nn2D7rTebMmrRhnrEWlviGlNVRdM3i6jtZtpTNRiEqqrY\n9chD8fM7ydBMg6nOOnoc/XrceORNPUFns0SC7aKSU4iBV0sIaftpPdrWrTG9liHoIl5bJnGl8bkE\nQbBkYUW3W/++WFN3mxNz31bD1hICNhiMMQygXFCIzJHxAdUgR2BeK+FQytnxTm3QyIGIrBpFQluG\nJdvVtm4NGhd+bdjXiU8ry/oA8ZKWErEEbauBZQan0utugLtHT/S+MV7cgzX/NwtgzQLuWGsbdZ84\n/f61/fa/+b8IbPgJQSZB06wQg135ZEEQuEGWu9Bi5UGWqWQ4cuJAfR5V1XXNtR++j203XU8FLGSb\ntSQ1XWsuSZT2lXwGs8dPMLQpasLAOblvvOXlKL/zXuSddEryTc7vQjLzgiyj38zH0P+RWY6W8TV4\nepcDAES/Hx5G92gFQRSpjH1qmyTBU9rLsHKQd8JJ8PTqZX9ysl8k+lJBFJF73PGGYM+J5y7vWeTB\noOFlfq8oMR6mLK9jLCBJ2BWasCoQkbKEgDMJFERJT3SNNZszsA1ffUG5tnCvp9oxsPHVW7Jvk8Bo\n6BloxQy6E7pfizoB33//Pd555x306tUL8+fPx5QpUzBq1Cjk5+fj9NNPtz9BF6Hmnbcst0cbG6kO\n3+BH2czPPFRCIcSamvTlaitPRw3p6F0yBg2GlJOj629Yr0DBjIHlBERmVlw6mAeOMui20FilVN+c\ngFxQYGkOLXq8UNpaU/IUNAtcDCwiMzNnJQRsQNtvxkxd/G8IYFl5QiiMiIlrhBmcVsyhjPVNsmI1\nlsOuChYAKGEn+xiDRkGWkfvLiah97934a+I+5LGtbGKef+Qo+EeOgiQlJmKshMAkcc9Mv620tVIu\nH3YJIRo0hpLnLAIA9Z/M477vRDbDg8cigAWA4l//FjsSy5F01SBmwhUKQfR4qOVvDaTVmjbIJz1g\n86jn1d2jJ4p+81tAFJF73FTDuUgJBgmnn9/bty9irS2oT/hNm/1+JCSfD0ixYEH5XfdCDYcgyK60\nXFE6A56y3sn/e/c2bBc8HoDIbWCDTh4Kzjzb0bXzTzsDsZYWNC78CoCxLyAZWLIfsZuYAQBU1ZRJ\ntWNR5axsUzmf3bGCIYDl9PViUuusBNpMx4Pqf75qeS2AdiEQeWxtYoJCtluEeSUuIFlONnmRrqdg\nDwoG1uVyIRqNorW1FUuXLsWkSZMAANXV1fCl2NkcKDhhtaKNDVRWPutdaGaIrISC3JsvZ/Jx5hdL\nI9ATRJFiYdlqLSLRWbetXZtM2iA7rEQ77XzsjOb+yRmuJctKfq4UtPt2dcNFr1Z5xbmEwGxZPdZC\nM+SGgICRDLCZ3oIsE5Zl5noyIF7pLbS70nGbAX6wGQsE0LhoIaUFJIPlsImNlu4N7IRddbQPh/WU\nZeROibNIgizD07tP8vpsACEItqsPxgCWP2kx/X1bWyn9ouByObMISwyCqbJQ6QZJrpwc7ndRfPFl\nAAB3zyQbSE2MWMlLKGg6OJPHaX2g9t3wMtvzTjgJecefwJ1gm/0O/qPHct/ngUwM5emwOwKCKEL0\nZrQ/eO3AgELOyUH53feh/M57uQUYRA8zqRtzpGGf7GMnAgCKL7oY/WY+ZrD3MoPo8aDotxfpr6nJ\nkKKYjgVqNOpI/mTGFtutxrF2edSxDhlYNRKBGotxfWAFUdTPU//Zp468W/Xzs0l+FANr3l6RKAEs\nUbIfnoSA/oxdH74eJAzshAkTcPvtt8Pn88HlcmHy5MlYuHAhZsyYgcmTJ3d187iws5sB4sEHxRgx\nA4UZy6UEQ9wZltVDmC5TmT1uPBrmxzV9bCBGdhjVr7+G0N7dKLnoEn5AZMImawhs+AmNC79CzsTJ\nCO/bRyWaWC79pPm57OyHkqJ9ZwysGotRpQBJsC4OhgxWJtjhJdlo7IQajUD0evXBPcwkxe2b83xK\nRubxBsb0RCQN1W+8joaFCyHnF6D/I7MA0IGuGZOhBUjpBqeRulpAEPVsdK4GVpYh+Xzoc990qJEI\nXMTKheD1agL0+GuXdQIXYAxg1Ugk7qrBPE9msgkl0AaF9C91uRx9/uYl36HHpb93ZCdGIt1ASRBF\nuPLzESFcCPrPmk1ZTok+n17eVQMbrKqhkKNVH+047VxWGkSnyBg0GL7DBzneX8r0o++MmVCjsZRk\nAQcSucefgIYFnyP3OH4VLUGWoUajjm28NHjL+5huI1fT5MJC7uSi5JLLkH/yqXCVlKS8gkfZNCZ+\n/8DWLdj1+GOmfaqZf6qx7SYMLPNceAcchuDWLfprTZ/KPZZgMn0jRiK8dw+iNTVwJ5hs0pZMCYW4\nz3fcpi29Z9Pbrz9V0IPUvYoeN8B8Ldp1KAmBQBdC0VZKNLhZL9huEMEeFAzsAw88gNGjR8Pv9+O5\n556D3+/HunXrMHbsWNxxxx1d3Twumr4xav5YxFpaKObGkJ1uEvSpJgxIuqUXreDp2w+ePn0AQUDm\nCNo/kb1e45dfAADqPnif2CnBwDoI6KtefQXB7duw8947sfvJWfrxrhQr4DiBXGB9Tl207zCJK1Jn\nbisVa2pCrK0NbRs3xBkGm7KIJPus+ddqEx0lEqE0YDxXB55vpB1YTVfDwrh3KbUk7CAo04Jg0wQk\nYiAwsMmtLdh+y03Y/pcbdFkF1/c2MVDJOTlwFdITEdHloiYnTqzdRE5CH0/7rLTyGVg1EqWe47YN\nG7Dt5j/bXlcNh9Hw9Ve2+1EQxbQnbYDRjJ9l4oQEo6OGQsnfgOlrGr9ZhO233mx/scTESPsNnfwW\nJHpc8Qfjm2lUdHOX9HCmG00BZTf/FVJ2js5etwdFF1yI8rvuRdH5F3C3l999H/JOOQ2l10xr97U0\nkIFN6R/5jgpxja65/ZwVSH2m9pzvfsI8eAXifZAT4sfMtosNYPNOOAlFv7lQf23lCEGOZXlTT0Tv\nW25H4Tnno+zPN8WvSUxylbY2fuIrwcCmgvI77zXoekkXAslrDNi165DPlMywtqwf7iEGtovg9/sN\ngerVV1/dRa1xhra1a2BSkVtH8w9LkEss+7NBRNRMAxsM8kXknRDACoKA3n+5DbHWVkPiE+960YZ6\nrgm/U51lw1dfUp9N9Hj0JXSn53ACOwZW6yCcXtNseRmIT0T2vfgCWlevRPHFlzpO8nH16InCc86L\nt4cYDMhMZ579WDq1wNVIBLBhyBx9F5pVUU4Owhw3BdHtgqLGgxrWDi6wJcmWBHdsR+bQYdzMZ7tB\nwl1aqrPYTvSovOQPJRg0DHhmDKwapQPYVo7jghmqX3vF8b5A+uyrBld+ASiFL8MYiW4XYgCq5r6E\nqtdeQfntdxvuV21FxgnUWEy/b1gtsh2yxx+DzJGj0PTdt9j/v/+KN7ebsKi+wUPQf9aTHeKlKQiC\npbzBU9oLRUS51o4AVVXLZ21lly60Pltj4O36JTUSMXhoc89rKiGg72U5Nxe+ocNQ/+nHENweSiJj\nOJZ4rkRvBlz5+cg/9TTivWQfwa5EJq8vATa+5Dx4+/Y1yAdJBlbiBOya/zmlgVUYt4fGBqA4abdn\nqMZ1SAN7YNDS0oKZM2di69atUBQFN954I4YOHYrzzjsPuzm14bsDzLzbSERraqhELwMD22TiXtDY\niLZ164zX7KQEAtHr5Wbt8wJYdslXCQaw487bHJtSawkfGrTs+7KbboHo86Hg7HPhKjQWXkgVbMIc\nAPT4nyv1//UAll0+VRS0bdyQkndrrLlZL1ZQ/dpcrgk2DyRrlCzNGqWygXkMLMsaOzEyNwSnxG+r\n6TltHRkEQR/Qe1xlMsEURVM9L686HC/z2T6AJb83+6DJLIA1vGcWwEYiKVdss4Kcl2/6m6W7RKnB\nxdz37DNMBQeKgorp9zqr/maGWFTvE5z8Fiwknw+5x01FzpTj4B1wGIp/89v029LB6A5G8OmCvL8E\noXPCCJ3Nd3j/KJGIMwbWVELA3MsuFySfD/1mPoY+9023dCkgC2uwriRAMicCgLnrjyhyn09NS2wF\niWVgiSQuycsJYBPXIb8LgdLlqj8LBvagCGDvv/9+LFq0CIIg4KOPPsKCBQvw6KOPorS0FA888EBX\nN6/jQHooKoqphKDx6y91L1AKzGDU/4mn4C4ro61kOhC8AJZlhhu//CJeecUhNKlB9rETUX7nPSi5\n9PcAgIzDBmLAk0+j4LQz0vJ+ZcEmNgx48mlkH0N44moBLLu0/uUC7Hp0ZlLioLXbIoBlg3JTzSMz\nIJIMoCYhUCNhKkA1XFeS9EDTe9hAuHuVoewG++VeNpgkEyU0SQKvGgxVM51Y2vaWl1PLd/rnSPgR\nAxwHBeK1ltjGdyGwZlXJEo5OMpvZZXSAH8Calc+tfv011H9mXlI2ZYiiqfexo0xtC1ATN0EwyBF4\njHVgY/pe22okqmudU5UQaBAEASUXXYLy2+7kJiQdQuqgluEdFIZI6xpEgc/geAAAIABJREFUqXEn\nCO+qpCy2zOB0cieICZZSliG6XJb3n6sk6Y/OkyiQMiOSgSWPE0wkBFljx6HsL7eaXhuAQUJAMbCc\nAJbnQiDF6L6SLT/bHcvJdr8WdQK+/vprvPzyy+jfvz8ef/xxTJo0CaeddhqGDh2Kc845x/4EXYLU\ny9mRwVKstYWvs7EAG1DKWdnoe+/0lNuR7vUAvj9eKlASs1tBlqmqPkBSX2laPjaF78ugI2Rea52h\nGo0iXF2FnR9/AO/4Y7H/rTcAAMFtW6n9zZaVAKPNGevzql/T7aE0YmSygjYYKIEApQNkE8REl0t3\nTsibeiKyjjraUWYv+7uJHrceRGpBMi+ok7L8SWaS+f655TwFUQ/C2OCUXD7UVh+4yRI2QZyHYGCd\naK/FDB+8/QcgvHdvMnBmfiMlEkFw61be4QCQ0iTNDmo0Cjk7G9E6o/VcuxlYQk/OLfrQAYlWJJRo\nFMFt8YIsrIvJIXQdqEz+TmNg+SstVqh5+w3bfUylKGzwKDF9usUKQNbYcWha/A0kXya31Lggy3qV\nLZKBpVhdkwBWkCT4Bg2OB50m5IVBA8sEsGwPntTAEmNEjMkpYBnYbpjEdVAEsNFoFD6fD+FwGIsX\nL8btt98OAAgEAnClOavvbAipx6/6cnV4717sYhg+R9c80B6EnGSS9gawWoa0lZ63M7S+7PKSFiSr\nsRh2PvQgog0N8Hy3xLQDclRMIoHApo0mbfAgRgawpL9p4n82UGYZWDLI1D6TkFi2txpIWOcIcik5\n2tJsKnuQ/FnJghtMoMwzHI8zsPFzNy3+Ftljx+vm9kpbMmjUVh+4EgKbII40h3dSQ1wQBPS+9Q6o\n0Si23jANaihkCNbDu3c5ZpLai1hjA1UxT/Jn6ROV9t77JAPLW9pNZ5nfCi3LftBlLh197kNIH+RE\npT1JgdbXSEy6w2HH1QGduFvwGFIpJ8cw/mkMrH6cRawgulzobceSer2ItUQo60uyIIQgCNznU3tP\ndHtMqyyyGlgygJUzMsA+qZqkj9LARpN7Capqy8AK3SCCPSgkBGPGjMHMmTNx++23IxKJ4Pjjj8ea\nNWtw3333YexY556ABxZMLWLmocsYPMR4RCI4qnz4QURTrVCCzgnsLK/H8dhsbwCrwarwgZzH93Bl\nS4ymArYT175LNRZFtCHeEYR27TI93mmVGgAIVVZw32eDaJETwBoKGVh832RHb6eDtdKjxpqbEWvh\nM5lWmb08ax4Igj54hnbuQOWjyVKaZOeueSCbFTKwgl1FHh40aQNbcUdvWxrODu0B+duRzgEplwlm\nwGpgDdftYJZ0/5uv6/93NLt7COmDlhB0UgCbkPoEt2/Dvpdf7Ljzcu6jvBNOMo5/Bga2ffe2Nj4H\niBLvhWedDSk7R/fR5fZN2sohp92abI1tm0C6EDCa3Kzxx+jHkc+rpDJJ4Mzk3VjIwNjUA42DIoCd\nPn06RFHE5s2bMXPmTOTl5WHevHnIzMzEXXfd1dXN44JN4mLLofJmkXpt9BbnBsjUNWUZrqJi+x07\nEGyn0bpqZYec10pTWnzh7+DpXY6Cs+LykfwzzoSrqAgll1yW0jXyzzgTQNxbkoXeEfEqriSgsZZ1\nn/43JQ2kWVKDgQWmKkylzq6TllV2pSJZdpGqutXczDXuBqy9FbklH4kkLgAI79mj/08u2+sMbMKF\ngPz8nbnSIHrjbWaTsjpqYuYU5GBHsqZKChMlHshSrnbX7Wg4rVB2CJ0PakLrMKk05Wskfu/WlT+i\n+bvFHXLO3CnHURICd4+eKDjzbOSdeLItA9vefkObYLclqtUBcQ/d/o89gZ5X/8n0Glo7eGN+5oiR\n3ONoDSxRKtvlQs8r/qCPu2Q+AJn4BfAkBN0vieugkBCUlJTg2Wefpd7761//+rPKAhUzfQDBKnID\nihQNzVnIObkou+U2VP9zLrLHHdOuczmFIElUqK6VbWwvrKymXPn56HPP/frrwjPPRqHDMock8k89\nHd4+fZExcKBhG6mBNUPD559CiURQ9+H73O1ihs90yYi7v5cR8nMYWDNI2dmGwhdkNq2Zd6IGY4la\nIlGspZnrQgFYM7A8DSwpIWBB6lV13W0i2JcITaiTgaj44ktR/dpc3YbMKcwYWP1+tNCxdSTI78hV\nXKL/r1horZ3Ars/sqGV+T+9yw0rDIQa2+yBz5CjUvP0mACYRswORqm2aHYY9cC9iPXqjLuFRDQBZ\nx0yIJ/aC46jBMLDtnYRmHD7IIP8SvRnU6h1P3qRLCHh9sJ7XwdjZEcGoi7A5M3xGMolLIapXgich\nOMTAdhkWLlyI3//+95gyZQp27dqF2bNn46233rI/sIsgqNYMrMDJfFYTxt9WYI3ISfiGj4ArLw+9\npv0ZWWPHme7XkUhXP2U3mHWk56sZRJcL/iNGc4MwrUNp+XG56fE1/37HGLyS34ckIv/0XzlvD9PB\npRrAGt4jAuJUJQTkknnN228itNtEPmHx+3MlBKLIvfcBfo10LYNdzk66Kju553InTUH/J57SC0E4\nhWkAmxj8BElCzhSLks0W8B5mnCiZgXw+7DyLOxIdFXRwq8H9jAiH/+/w9CxF+Z33ou/0mR0eaGpo\n75I9i9yRI+KOAqR+lwjoDBNbhoE1W50sufwKR9fvdcPN8I8ek3xDkozMKS/BWDKXEJgHsAQD6zPv\nx6ngGQo1QY2vnCUDYaMLQdc/jwdFADtv3jzccMMNGDFiBGpra6EoCvLz8zFjxgzMnTu3q5tnAuuM\nbB4LpcbsK5Hkn34m931XYVGnifEtkabulhSt80okmi1ZHyikkpRFgqy3LYgiP4gzgZWEwG75VebU\n+Ra86TOwrPZUM5I3XMMiKGEZZQCUjRaLKMEga0U8SAZWb6vDe4P3ndhBD2AJOUOosgINCz4HEGdY\nin/7O/R54MHUz+3AjxcA8k45jTaa50kxOgkdFXTIPKlCiq4qh9C58PbtSyULdjQ6OoDVz0tq+0lp\nEWujxTCwUmYm+tw/A96+/SC43Si/+34MmP0MciYc6+i6osuFnn+8Ft5+/eOvvV5j/5eihEAwCWAp\nCQExhlhNNgQAsov4zKpKWXGyLgTdYT55UASwzz//PO655x7ceOONkGUZgiDgkksuwYwZM/Daaxw/\n1G4A9t4QmaU5HiOmxmK2gZPpICh1za2QbuIYadzsGzwEHqYSjRrp2gA2Xb2UTDKhRMKSExiTuAim\nwUHiEpVZnPA+1LfbtEMhNLBqLOa8ZKdF+UTuvSGafyekBEINheIscKIdZIJeZ7LzWrBIFm3Yed/d\nuheqIEsQRBGenqUpJ7+QgajV7+kfPYa2UEsjKc0KPS6PF+zgrQ44DbLtQGZn61AOBbAHEyz9mtsR\nPZHkTyoMLBC32Cu/8x4MmP0MvOXlpn7LZhAkCT2uuAre/gOQd+LJnO2c51pnYJ1JCFxFxcjMifcV\nskuCTFZKs3mEZFnrk+I7RhuSq1qSLELsJM/fdHFQaGArKiowZswYw/sjRoxAlYm5eNeDudOYpQVe\nQKHGYgabJMHtppJ+zAb/A+1AoF+X00k4AclIxz32utmtnKY3Ipkko0aiKWkKjVZeBLtgw2YIrngG\nfUyresSeyyYwqXrpRWQdPQ6S5HZc6haIMwhyXp5uf2a7v2DUwGqVvtjCHTGi5jgpwenMyY1mWK5J\nCAz2YuR9miKjSDIpOZOPMy3JKjCJbh0VVGrInvAL+EaM4AaZVvdZKuWcecliqto+B4VD+HnBki10\nucwrdImi5QSaHANV8hlkK3FZTDDbk1DoLumB8tv5yeNmPrAAv2BKkoFNtkfOzsKUx2ZCmr8J/iwv\nXP7k92QrMXRJACI6gRYlZFmCIMDllhAKJuRQ3SCWPSgY2PLycixdutTw/meffYZ+/fpxjuh6sBpY\nw/IG7+GORg0MrOSn9ZmmZfTaaXCeNswCZxt2ymAAzXQoZFnXroCQ5kyVDmDDKXWUhiSulAJYmTpe\nYs7lJAhqWb4MQNx83jEEAT3/cA0gSc5015zfWo1GoQQChiQLNRrRgx5ywqN0oh8rKyFg7eza85yR\nshlLWYAoUsGx6PWi5NLLAQCF5/067euTkLOyufIPqwmXHRPc6883wTd0GEqnXX9AZQ+H0D1hORli\nxgeyUhW3AAoBioG1SKDqClKHp4G1khBoUSR1nCBCFEWMPKoMfQ4roD1ibSbNuoQgcc2YpRds10ew\n3Yy26hzceOONuPHGG7F27VpEIhG89dZbqKiowPz58zF79uyubp4jGETaZgxsMxPAZvqpijymgUhX\n6F9h1BlpkHNyLb1cKQaWCWryTjoFGSkkvHQK0mZgCa1mJJKSDoy0vQJA/aZ25VMFSaZcB1gG1s5G\nCwCidbVQVdUyW1eQZXq7KMLbtx8GPPE3Z0GLIBgZ2FCIax2nRiJJCQERkHcqA6tJCBIMbKS6mt6B\nHBRTZGDJe95qQiEITADr8SLnlxPhH3NkykueqcLKB1b0Zlja22UOH4HMRPJWcOcOw3auLvYQ/t/C\nsu9jiwyQln8ut6HylNl5rSUEB35MTFVCwGNgWWqU7ldtAthEIKx9L5qHuQbKiaDr49eDg4GdMmUK\n3njjDbS0tODwww/HokWLIMsy3nrrLUydOrWrm2cChoE1ZCsaH241FjPYLrFMbXeTEJitQ0h+v2WC\nF5X5L4oQie/HyprpgMGCgbUKJmXGDSAlDSybYWrFwDLfu4GBZWtrO2Bga/79DmrnfWRdHIFliRMd\nsOTzObK1E0TR8J0ooRCVwKUhHsDGnyNyotSZFbFYF4IwE8C2R+oiEUyK9eBOB7BCohZ6ZwevgIlO\nLwF2NYhE3oknUa/ZSYp/zJHIdpgsczBgyb7l2FRvXpr4/wNSYWCpQJQ5zlVcggEzH0m+QS6ji+YB\nbFckNfPKXOsMrFMXAqYbJb8PewlB4nyJ/pKUEAC0F2w3iF8PDgYWAAYNGoRHHnnEfsduAraQgdGj\nzhjcxZqa0LT4W3o/A3PLH2C6LIA1geByQcrMNHiTaqA0coJAz6q7Qc10q87PVVSE8N493G0Sk/lO\naRl9PihtbdQ2UlPIyhasOnUpO4daHhJkF7XEa2BgHeoo97/7DnpNNPcQFtwuygvVNkAXBJqpFEWD\nFkwJhygLLQ1qNJrUuAkCfCNGom39OhSde76jz5IO2ABWK4OqgWuT4/TcTrOJRZEaqESWme9EWAXo\nPKu25EZWIkXfr6XXTGtXu/4/4ae6TXh1fdyD9anJD0FKM4+gu8NSPsWu3Mk0MyjILn2imjNxEtwl\nSS9kd8+ekPPzobS1UbZW3WEM5PrAJp4pLomgSwiIwJJZ/aOIATsJAcPAxhqYANZjHih3BQ6KADYY\nDOKdd97B2rVrESUGNVVVIQgCZs2a1cUt5IC5zwwDPfEACx4P1FCIW2LUUGLOxEMzXTurdsPkgRJk\nGZLPIoAlWFZBFClWs1vUTLeQEFgGsMwgTwYqcn4+wmQA6/HQSTGiSBvlE0E0OxjI2dlMACtTS02s\nBtaKWWOx8vqbTLcJkgTR49EDcTtpgujxUJ6qPAZWDQYRa4ovTcu5ufqyFykhEAQRvab9GUpbmyUT\n2F6wlbgMASwxQLlKShBJIYmU0vaJknlRBFGgBrSOTuKyhAWLznUW0A9jJl+HihaYYmvDdv3/UCwE\nn+jcau/nhHQZWAgiBJesB7AG8keW0ff+B6EqCpUY2R0Sgdk25E49UX9+uTZaWnBLMbAWkaWNk4fO\nwCbOxxYzIMvJCt0ggj0oJAR33XUXHnvsMbS2tkKWZbhcLrhcLrjdbri7aUcpQKVM1A1LusRDyfPL\n1PdjlqtZOy59vy7SwIb37eO+L8gyRItAQ87JIXamrZg6uh57OrBK4pJzzYtJuIpps2zyd5bz6Dr0\nLLMm+nw060p23EwnLhHG/kDi+/a0n4G1hcQYiduc17CdU4lLCYf1pS45v0DvwNVIJDlBEsW4r24n\nBq9AkoFVQyGoimIYAMj7tPTa6+iDbSQU5GCrRiLmz6woInfKcZDz8uAbMTLtYFDtYN9VOScH7p6l\n3G0xRvpk1k8dAo1QzCQTvwsRioXx2c4vUdFkUrzEIayICMNyv0QvbVPBL4ecEb1eo8d2F42BJMjP\nVXDWOSi+4EL9Nbvqkjv1RHj7xpPQqc/L6UeyxsdXxeySmzUbLTHxnQW3bUXDlwv07Ww52a5G92pN\nJ2H+/Pl46qmnMHHixK5uSkqglo8z6IeNfGDFjAxDtqC+H2sNQj4ExPJsly2fWDGwVjNwMghikrg6\nywA7JVgwsKKFFtFVWGS6zV3Sg6qjzS6luwoKIUgyVCSssEh9V0JmoTG21AQA8e+MPJ+UwQawHRNQ\nCKIIEEGpnb+s6PaA4hgZuQgQ18BqTL2Una1b7CiRCCUhOBAgZRhKWxtCO3dS28kBylPaC3mnnIb6\nT+bpx5IFEFiQDGasucl0wBVEEVKmH/0enhX/vtL47KFYGA//MBsF3nxcM+pydMR6oaoo6HPfdLSs\n/BF7n/0btY1n/3cIZkj+FsFYyGK/rsEn2+fj84qv8D4+wTPHpS/bs+rH5fwC3XrPf9TR9PglCvSK\nnMOxrTuUlhcskjzJyXz+qadTZa4p4oLzOXpcfiUKz/01XJxKnGU33YKa999D0fm/wZ5NCWkXETdU\n/+s1ePsPgLdPXyqJqxt8XQcHA5uZmYmysrKubkZKEKDSQZnHg+KLLwUAFPzqLGpWybKz1HlYPQxx\nzuwJv0hu6Ab6HxKCJHOTsfyjj0Sfex6gZ+CiSD1NVoz0AYNVidQM8yU/dqnfXdYb/qPHwj96DPxj\njqT3ZZhIV34BnajDTl7IutdMRrcgyRTjwToaOEni4kFjCJLXkWi2xCZQyZnMlF2NxYwSAiKJS87O\n1u8NSkJwgAy4yQB230svGrez3ysp87CxmZILCvT/Yy0t5gNu4pkXRDHtQXnJ3uWoatuP9XUb0RQ2\ndw4wXNpC46uxxrzqcgobwHYDNswOH237FA//8BSaw+lV3esIBKMdF8DubKrEwz88hR+rV9vvbIFV\n+9dSr7/ZvQQzljyOPS381TYzWAWwrsJC9LlvOgrOPBslF1/GBKkClQzVHbStTmHlE03Zf1mUhOVF\nloIocoNXAPANGYryW+9AxoDDiCQumttsXbUSQPdjYLt/L9EBuPjiizFr1iw0NPBZym4JVaVYPNHj\niddnf+wJ5J9xJiMhsBj4WG2ZKKL8jrvR85ppyBw1Ovl+N3vIBZcMyW9kKkuvnQZP795Me1UquUk2\neVAPJCxLpHIGcFdRMUr/dD33PKV/uAal115nzOBnOjHR54NEMKsGnRhjbk+x2C6Zrt7EDB5ObLR4\n8B91NP2GJEGNJJc9yQIDPORNPQF5J5+qv1ZCIaOEIBTUk7ikrGz9c6rRKKCZ3x8oBpaYTLauXmnY\nrjkC6K/J59hiIuruVQbR5YJv2HAIbjdyjzvekoFtL8JK8jeKKs5txzKHjTDdprH/PK2hxKwI/Bzw\nyY4FqGjehfe3ftxlbQjHQtjasAOzf3yB0samg6dXvoiK5l14ce0/bfetCdTii4pFaIsYVwxkMfn7\nxpQY/nfju9jTug9z1ryaUnuskrgyBg2Gp1cZCs44Mz5pZxlYkvz5OSW5Ec8GK+ERqJUri/64HX2d\nnsTFTEQjCStOF2Wj1fUUbPcKpzsJCxYswPr16zF+/Hjk5OTARd7cgoBFixZ1Yev4EACAqNmuaRB5\n+klLFoszmHn79Ye3H9C6elXyHN0sgIUkQWQYWEozSLQ37n+bTPZitaJdAqsqLpxApcflVyBj4OHW\np2SW8Q22WZIEmdC2Goy5yWU1WaYrb8kyrZdmjk1XA2uoDiZJiBHL5HaTDUGSkDNpMur/Gw8SlGDQ\nkIhYNfdl/bNqEgIgHjCphAb2QMCORTUMPA617BqT3ev6G6GGQ/F9LTSw7QU5eKais7RKhNHt1Rh3\nDG//ASg8t2MKLHQUNtRtwbyt83HWYaegb3Y5tW3V/rX4YOt/9de1wfoD2jZyQhGMhfDvje+iJlCH\nx+u3tGvJvi1qLl9h8dDS2QjGgtjauB1XjriE2kYGsK2RJLFQHaCLetjBbFzLO/lUZI+fQO/LMLCk\nrWJ3W120AtVnswwsGcBaSLrk3Ny0r9+jVzyJuKQXPaFUEgWSSBeCrg9fD5IA9oILLujqJqQB2hDe\nsIRLGpVbzsYsNlEz3O5wO9IgJQQ5EyfRlidkB6WolIauO1TxsWLBeEuo5OfJGDQYgY0bkHv8CdQ+\nhoCVE1RSTBabfeuiA1TRk9SXCrKLSn4zaKfTDGANPsSiSLHlvJKhLMjvK1pfZ9TNqqqecSzn5ECU\nkwGsrvE+UAysjWWVIaAnJQQW962mWRZEEUIi0DW7xzp6+T1VnWXv2+9C5YMPGN7XHTOITOjSa6Yh\nc8TIdrWvM/Dk8r8DAB5d9rQhKHyBYRLDBziRKkT8HsFYCDWBZMGXiBKFS+z8YT0YizuDrGTkAgCo\n6zdH0pdX8PyyPeV9UMSpJsdqQM2KFXR3UP0u49lql/xacObZaF29CsXnpz8Z7DuwEJdd9wt4vBK2\nvJ18P5ooQNLdChkcFAHsOeec09VNSBkCVNrWiGEjyXrzVgysnGM+GxOo5YruV2ec0nMyy0C0VkiB\nf/SRCG7fFt/WDZY2co+bivoFn0NpbTVs4wUqVHb6NdMQ2LQRvuH0cixrZcVjRcnkLPZ7IJfkBFmi\nOkFBZjSwDiq/AYDo9yN77Hg0fDGfu90wCEkS1TE7CbZEQmbgKetteb97+/SjGVjtWmlWRksV8e+R\n9uclwWPN9W3MfdHr+hsR2LoFgc2bkHfKabyr8RvRAQGsQvQHoRR1lhn9B+iTMBJSghny9u0L39Bh\nEDMz4Rs2vN1t7WocaCcA8nqhaBjZ7ixdp9wWaUOOx8Jvt5Pw9qb3EY6F8dvB50IiA9h26IO5Glgz\nZwyLyfrPKoC1KDVtJyEoOOPMuKRCat/4l+Ezfu9aBb1DhQwOEG677TYIgqAvhWmDOfsaAB588MED\n30A7qEDmEaMR3LYNUnY23Iy9EhnAssFFz6uuxt4XngMQr2AjZWWj5u03jAERxWKmH8BGlCj2tVah\nzF/accGjSrOJmq+mBvJBVxUFuSecCNGXYbsMnwpqA3XY0rAdY0pGpcxqSH4/+j/6BLZcc5VhG7dW\nN1VJLJNim/XjWM0rJ4DNHD4Cte+/F9/Osn1UAOuibbNkWgNr8E40YfnVSMSSnTXa3aQ+mAiCgPI7\n70XtB+8h/7RfmVosSf4syIWF+mBW99knSbbvACYFiV4vYiYBrNEWjAxgjbY+hWeZT76pIJl0FDFJ\nWFtWtRLvb/0EFw4+F0Pyjc9JU7gZbtEFr+ylWMV0Mt19g4foAWzu8ScgUl2FgtN/FW+fJKHsxr+k\nfE4zxJRYWmb+kVgEjeFmFGbkI6bE8M8Nb6MsqycuyD/d/mACTgPYmBLDx9s/R5/s3hhZNCylawSi\nQdQG6lCWVUoxsKFYiPLjPNBsMADsb6vBV7viBXRGFQ2nJA4tEeME3il4dohmRAs17gjpuRB0BwgW\nGlirJK7Ohlaq231IA3tgIBIZuMFgEB999BFGjx6N4cOHQ5ZlrFu3DsuXL8f553deVZ72QYUgu9Dz\nD1fzNyvmDKy7tBTFiczMjP4D4O3bDxmHHw5PL9qJgWLH2hHAvrzudazavxbnDjwDx/X+JWoCtcjz\n5DoaVOS8PETr+Roysr3h3bupbfRSiwrR5UIum7HeTtz//aOIqjHUBOvwi9Kx+LLyG4ztMQa9/D0d\nHW/KWnJcCJyYaAuSBEGWdWkJL6j09uuP0ml/hpiRYQxgyWotskwFwIIsQyTLjzrUwKqRiKU+VuQE\nsDlTjkPjl1/AO+Aw0+NYePv2Ra/rbohf0+ReFf1+CIKA0I54MovS0qIHsweSlRe9Xp2xMGwzMLDJ\nwJq1LrNjp5VwMpCR/P7kNU3Y5pfXvQ4AeG7Vy3hqykPUtvpgA+79/hHkerJx+bCLUBdMJryG0ghg\nyQl2/imnWnof28Gqgld9sAEP/fAkBuYOwJUjLk7pvM+veQUb6jbjuiOuxP5ALZbuW4Gl+4DzRp2c\n0nmcfj8Ld3+H/+78AgAcaVXrgw3I8WRDFEQ8vfJF7GiqwDWjLqcCZnZyYRdMr63ZgH9v+RDnDjwD\nI4uHOGq3HcggtTpQg2A0WXikwxlYGyP++IGCpQd2d4YVqSRmZOjFS6yKgnQGlNZWqLFYt3Mh6F6t\n6UDMmDFD///Pf/4zpk2bhmuvvZbaZ86cOViyZMmBbpojCFAtB7DMEaMgZWdDdHvg7T+APtbtQe6k\nycnXooiMfv2N13CZz/ZSgWab8u7mD5HvycWcta9hbI8xuHSovfa4z19vQ+38+WiY/5lhGykhYINc\nmoHlVCPqAETV+Hm/3b0Em+q3YEvDdnxRuQh/mzKzXeeV/H6KMQOcswSCx6MHsGaBo3/UEfxjWQkB\nW2qWDPKYe8/sWr5hwy11n4ZBSJRQdN5v4Bs0BL4h6Q2ggiii5LLLUfXKS9T7apgTSGiB1AENYM21\nrOz3SD53homNXZtJGZHHA2gBrE3gG1ONz8u3e5YiqkRRE6jDI8toj9Z0AlhKJpJmUYKeV/8J9Z9+\nguLfXWq6z4LKhWiNtGHl/jWWTKxWdZHEhrrNAIC569/EhNKkWwYbFNoxvE4Z2J1NlZbtIbG8ahVe\nWvcvjO95FC4e8mvsaIpXWfz35o/gcyXvL/a3Id0jeHhudfyZeXbVS3j+hEdN90uF1X5s+TP6/y3h\nVur7a2lPAMvRwNqVQo0fKADEKkR3qLDlFFbjgOjxoMflVyBaXw9P794HsFVxxFpa4CJX7bqegD04\nbLS+/PJLnHaaUUM2depULF26tAta5Ax2N3O/hx5FnwceNC4tO6xERQUXTma2DjBn7WsAgKX7Vjja\n311SQlUbYaH5gBZd+DvqfYqB7eCKQSxkUcaWhEWNkqJWuHSa0Rq3Qgj1AAAgAElEQVRLdLlQdtMt\nzMTDWW9AZ6KmtoxE68JkOhs8od3UwVq4yDJ8Q4ZS7+VOPRE9Lvsfy4xYnoRA9HiQddTRXJ9fp8g5\ndiJyJk1xfsABlhCYgfXXJYNQgzY6hRGC9Hvm9RsBghXT8EXFIry09l9oDrdYWmWl4zVKBubpFiXI\nOvIolN9+F7zl5ab7SELys/IShnY2VWJF9Wrc+s39+JBwDiDRGG7CJzuS1YbYz2sXFDq1GSOfqIjN\nMS+t+xcA4Pu9y/Dx9s/192uD9ahoTq5GhaIhKhAOx/jSFR5iSgz3ffkEnlv5iqFfs/vMZvh2zxLU\nEa4MBoY4hXuJd984IVoEQaCe95+ThIDsk32DBhs2Z487Bvknn3pAVpR8Q2mZS6ylBbHdxnL1XYmD\nIoAtKyvDf/9r7Lzee+89HHaY82XMAwlBVW07ftHjgehyGfWKDhkPcobb/ZK44h1V8YW/Q//HnkD2\n2HHUVlYD29GIEaxubbCO2tYSbnUcyPpHjcbhf3vG8L5v8BDkTj1Rf23leUiC0kGlyCxQEgKXTDOw\nMl3ilScp6cXoFosvuBByTo4xKDO5JtCxg4khcLZI1CI7/FX716Kyebfpvu2FVQDLykooLTvL3KYy\nSNkYmZNBhVtyoy5Yj3e3fIjl1avwzuYPEFHMA590NLC5k+OTC1dRUacyYJmuJGvdGGqitu1vq8Uj\ny/6Gf6z9J1oirfryvR0CETrY74wkLbsAMVNOfq55RAAbUSJUwByKhanXqWhgl1WtwrrqTVi1fx22\nNdIV49L9zKzmlbTRAoD6UKPjc3H7RCd9vSDQBXx+BkUxNAiCEPdpv+pq+LrYnaPnVVej6NfJVdRY\nSzMCPy5DdnA/ZDWKgqLOLcvtBD8fbr0duOWWW3DNNdfg66+/xtChQ6EoClavXo2tW7dizpw5Xd08\nLgSPx7bMpg4ruySrazBWVOkgZrF8//qGd3F43gAcVcJf0nYCQRT5+rkOSkAzg5Un4q3f3I8jiobj\nCoeaO8nPf9CzjjoabWvXwFVY6MhOCmDE+ykmrtCJDTJdEUt2JU3/wZdlULN+Vn7AgZyXz3Eh6LjB\nxFAtzKraVmLbhrrNug3S01Me7hQmw0pCYPiuiHtX9DGFKlIYeMl9eZ+JDFCjShSr9q/TX9cEamG1\nApCOjtFVUIj+TzwF0ZvRYd9xTaAOy6pWYkLp0ch2x58Xj5TsI9mKYZvqt6R1nYYgHQinwmqy2Nda\nhb2tVTiiiE6gjcQigEU3nenORGu0zXyHBIKxEBW02gWeoiDqk++X1/6v/n5V234IEKAmiIOOCtrb\nmM/ABrSW4E12LYiDzCNGo3Xljyj67UVoWJB0RflZMbDQfNqNkr8DDcnvR96JJ6PmP/+GGg7HNfax\nCI7a9RkUtxcZGSmsgHUSDooAdtKkSfjggw/w7rvvYsuWLRBFEb/4xS8we/bsblti1pXlfHZjMKxP\nJ4BNk4G1CvS+3bME3+5ZgiOKhlPm1o5gs1REdkqdwcBafS4VKn600dw5gSCK6HH5FSkdQyVeOQxw\nFFWBKIh0kCPLVDApyBJUhQg0bL5/d89kIhtvgCi7/ga4y/tSnq9m+6YLg4TCyiorse2nuk36W6FY\nCF7Z2rc1rXZlONcEt4eB9ZT3QahiZ/y3tCmVGyUmJIqqUEFpTFXQEDKvUtgUbjLdZgU5q2PtnB5d\n9je0RFqxpWEb/nRE/LmJEc9+U4gOYHl9zmc7v8SgvMMsn+/6AM0SOmE1v6hchCllxxqC9QeWzAIA\nQz6A3Tn9Lh+qba8KBKNBhInJid15+2f3wZZGY8Wu1ze8Q73uqACWDVijFkw/C97Ex0pCUHrNNCht\nbZD8fjT+XCUE3RBSVjaitTVxJ4KYAgEqpHAA4eoqeHqWdmnbDooAFgAGDBiAW265paub4RhOGTmA\nY3nkkPEgB9N0g8BWBzYpFc270T+nT1rnNwMZfMudUIayzQFTUB2oQc/Mkg6/thUoBtYBm7m+diPm\nrH0Np/c7EcMEOrGBLJQh+TIRIzxrze6Hogt/h8aFX6H0j8mESPb+KznpRGQdcQRiMRWRMD0QdmRZ\nR9YLMfuYRHWeRKYufd34dyUTmsm2aKBzAlgrCYFFACulqIEtvXYaGhZ8juxfTsL2Z5/Q9WDbGnei\nOKMQS/Ytx5jikcjz5iLGaC4biaA0HIsgYBHQNYb4jgoHGtryNDkJiarE8jkTHPH6wfe3fmJ7ndo2\nOmHUSRLbu5s/RE9fCYYU8G38vt29BLneZD/FtpVFpsu6xLKGFqafsjsvL4GPh7QS9zgwts95WWIe\nLBNGRTG52kUmcVl4qx6CPaSsrHgA29xM9VehiopDAeyBwCWXXGK5/dVXU6vRfCCQik1GujNMisFL\nO4C1D/RYbVpHQBBFFJx9LkIVO1NL5nEIJ5+rOdziOIA9/MbrsfXFl1Fy6eXtahfNwNr/7s+s+gcA\n4N9bPsIwYVDyWFmGGkoOUmJmJjWhMfPTzTtuKvKOm0q9R95/eVNPQP8rL0dDc/zcpNMFu29bpA2b\nGrZhaP4guCUXgtEgZi1/FkW+Qlwx/HcQbYoPkMF85shRyDv51Pj7gggVTACb+GwkK8cmNimqgpgS\ng0tytoJhhrQlBEwAazcRdRUUoujXv42fBsmEhnU1P+Hj5l34qW4Tvtr1LR6YcJvuqKGBtcmyyhZv\nTJOB7WyoqkrpP9lkqnSDsPc30I4oTtnIFdWrTAPY5kgLHcDayBKy3c5W4NjfbVnVj5jY6xjTlSH2\nPjBDR/nJ2jGwDaFGrKlZj/E9jnL03PX4H6OvNhdk39HBDOyWhu3YWL8FJ5RPhrudfcXPAdqkINbS\nTEnLQrsqgXHjUz5f4zcL0fDFAvT4n6vg6dWrXW07KALYkSNpMXQsFkNlZSUWL16Mq65y+EAcSKgq\n5OwUAtiOSJKwWTIORAPwSB5dQ7W9cSd6ZpY4CvScsJksWGswHgpOOyPl85JQVAUb6jajd1YvZDED\nRpMD3V8qtcOLJk2EOHx0u+W66UgIiAOS/0oy/GOOROvqVfq5BK8Xfe65H7FAAJ5S5x2LRNTezpnw\niwTLmAhgeZW4Enhu9cvY1rgTE0rH4qLB5+G/O77AntZ92NO6D6v3r8MRxbRukAWpEc89/oQku8lZ\nTs84bCAAOoDVfr+IEoUkiJi1/FnsD9Tg7nF/gd/tjAHjtsvKhYAJYMmiFkYJgfPfVyU+c2u0TWcp\nteQtVqteTyR1Ndgk1jSHW1Ddth/5+V2XtEEmTWp90OwVf6eWw9ngLB33BABoi9DPNRnMWWn+AWB7\nYwVeWvtPTO0zCceWJgf3umA9yvxJtsouicslOguMWJ3sjqZKfFG5CCf0mczd36ljQkdJCFhmn2WI\n/756Liqad6E+2IBfDTjFeAJR1Cd5fe6f4bhfEjpRQvDEiniRoEgsgrMOO5XaVtVaja92Lcbksgko\nySzmHf6zg7YazHpbhyrScyTQ7A/3vvAc+t43vV1tOygC2Jtvvpn7/ltvvYVFixYd4NbYQ4DKLRVn\nig54QK0kBFVt+/HQ0ieQ48nBX476Ez7d8QW+qFyEw3L7YVyPo2zP7SQZofyOu9H0/WJ4evdBtL6u\nw4sS8PDDvh/x6k9vosRXhLvH/wVN4Wa8t3kejupxhCEhhIdAxHkAC2iMWvssvyjngBTtiahiNbKM\n7AnHQpAkeMqT8g5Pb3PLIjN4epai8PzfQI1EkNGvH31NCxcCLfN58Z6luGjwefih6kd9W1Xbftvr\nsoUZNOROPg71nyVdR8SMDP26ZJZ0IBJAWySA+5c8ChGizjT+UPUjpvQ+1vb6ZrB2IaCf69wpx6N1\n9Sp4yvsYf08bXSsF4sflTSpZ26ZUssEBYHfzPgxGP/sdOwH7Wqvw/OpX9NeKquCGr+4wBKykTGLR\n7u/wn60fd8j1P9r+GQbmDUCmy2fJYKpQ8beVcxCKhfDWpvcxvmfSWzaiRLG8elXytcPEsGEFg7Gu\ndoP9jgQWVCzECX0mQ1EVNIWbkePO1tl8pwGsHQMrCZJjOQKJV9e/iTHF8cqGTaFmVDTvAgB8uvNL\nbgAriKI+NqVE1FASAufjo/ewgQhu2Qw5v8B237W1PxkC2Nk/voDGcBNWVK/Cw7+8x3l7uzFkIoAl\nJ9yhyvZZakXr6ux3ssFBEcCaYcKECVTBg26FFAYv6gFNM+N3f+t+/Lj1E5zJ6US2NexARImiJlCL\nFVWr8EVlPOjf0rBd90e1ghOWtisyL7/ftwxAPFiqaq3Gu1s+xLrajVha5czDluet2dkIVydTO1IO\nNklGT5YgiCKyj/lFh7Qr/yQOewLOoGPBGg8tGITFe+K+zHbyAcO5iAlYwdnnUgGstl9jqAnzK77W\n326LBvBT3SZDlr3bhv36ds9SfLrjC1wx8iLk5w81bBcIJjVj0GBAEBDY8FO8KZk0syt6POh9y23x\nj8DqhTnP8ifb52N93Sb8YeSl8BM6SYqB5TxvbLDhNJDRQEoODjReWPMa9gdqqfd4gSSZqPbGxvcc\nn5/MzOdhb2sVbll0Ly4degGGFRi9OTXEFIWSLVh9x3ZaVUUrCwwBHsmTkhxCQfyzPLHieWxr3IFR\nRcNx1Yi4jM4pK213PbfkQiCaXgGZhbsW4/jyiVhds456vyXcalj5oHT6mc5XRex8kc1Qeu00NC1e\njKyjj+ZuJ1cT2d9XURV9EtyeErrdDZqcMdbSQjm/xJoaEW1sTDsHhfJyTxM/H4O0diAcDhv+6urq\nMHfuXBQWFnZ18zhQU1o+pIIEJkBojbRZds6a1vHTYQI+2/kl9rZWGfYh2ch0BrJ0JAQHAoUZyVl2\nVdt+rKvdmNLxrEXMgYacn2+5nQ3MVPBLxSqqYpnE0y5IEj2pskg8I03OneguzZwoRJcL3r79DPut\nqF5NHR+IBuGRjCsddlq81ze8g9pgHZ5c/nfudolgYKWsLChEcpyV7MPAVnMKVXy0/TNsa9yBeds+\np95XMpL78gLYqINqdWOKjb6TxRnx/rE+jedeVVVsbthmK1GwQ1Wbk3z81INyDV7OPcDD3PVvYF+r\neVvYoNQygLVhOLVnVRAE5HpSCxAUVYWiKtjWuANA3PdYURWoqupoNQywlhDElFi7Ju81icnIykQF\nRw129wmvBLf5zulpYOWsbOSfdDJcJgzskz8mn3n2mfpo26fUa6162oHEP9b+EzOXPNUu6zcWSQlB\nExBjdObtYGGtJhZqNIrGbxbanuOgCGBHjhxp+JswYQLefvtt3HTTTV3dPAMEVbX2tGT3J5eVif93\nNlXi1m/ux4trXjM9tuymW6DcPg27S+LLl6yhNUAHsLta9ti2R2MptOCgNY3gSFVVvLT2X3hm5T9S\nrn7lFKTWza4yDgCDk0K6nfjXu77Fu5s/TOtzFZ17PqTsbBScebZtks8TK56nXu9q2av/TyZX/X31\nXPx10f3Y07Iv5fbYQRAEKjD7cO9CfLx9PrciTzCW/D6/rPwGLWFrFoMKYFnXAY5WmNU5B6IBrq2P\n0+VdbZD/fs8yrK35KXk9MoD1+ZB34knx/22YCja4tWKcWGurxpOPQWOmiGVDfIYAdm9rFf614W3L\nawPJYJWElqSYzsR1Xe1GPLniedzxbftWuRyx8aAdCVJBKk4UVtKWlfvX0O2xDGDt7rF4ACtCwNTy\nSY7bB8SL0rDBVVSJIRgLcfucDM7nf3/rJ9jTsg+fbJ9vICBIqU86UFQVgWgQGxmfXjtdcGq+yOlJ\nCOywm+hD2d/3051fUq8fXfZ0h13XCRpCjVhRvRo7miqxaGfHVRjVGNgo40IApB7AUjZoFpKQhi8X\nGEqF83BQSAjmzp1LvRYEAS6XCwMHDoTfxGS+a5EaA0vNMInj/rP1EyiqglXMUg0JQZah5iYTxvYQ\nD6gGMoDdH6ixbc55A3+FS4degPkVX+OznV86stpisbe1SteMra35CSOLhtkckTpIBtVJ1u1lwy6E\nJIh4b8s8LKtaaUj2cIJANIi3Nr0PAOiX04fLelnB268/+s+abQheeXpYlrna1lwBraQEycCurY0H\nX/+78d+46chrUmqPEwiyC2okPmC3ulXM2/4ZtnKkJ6Eo/Rt8vXsxTut3gul5PQTLmjGArqgncgo+\neCV6oG6LBrgVqEKJgXTR7u+wuX4bxvYYg2EFg7kThm11O/HKujcBADOPvRtZbj+VjCV6vcgadwzk\ngsKULWdYxskqgSia68crZ8YDUJnRb/9j7T8dXS/HY/Rt7ZlZglU166hKXk6xJCHRaS9ECHAy1VtR\ntRqn9J3K/RxWcMrAAqk5G1gF/XbBmiYhgCDgmJ5HwSd7IYsuPLfaflCPqYrhvg5Gg9R7p/Q9Xi+f\n63f54ZW8qGe8gGcsfRwAUNm8G1eNvFR/36ywxQWDzsaK6tXYVL+Ven9YwWDsbKrUl9WrAzW4eeHd\nhuM7kjVEmhKCVJDuhAmIT9C/3bMEVw6/uMOSvaiKbNGOScIDCEvPWIyyWgSAUGVlSuciJSFW9maN\ni7423UbioGBgx40bh3HjxmHo0KHIyMiAy+VC3759u2nwmqiJk8JsU/R4ICY+S84vJ+rvS8RDbL0k\nlBweeJ0uGcA2OLDEcokyMl0++OT4QJ5OoEdq9gKxztGakkxVA2fJWmCqE3lEN3I9OcjQPlcazDI5\nANYG0hOxk4FU2V9uhW/YCPS+9Q6EYmHH5+QlRDQTv/OOpgosq1qZVvsMIGQDQXeiIlb9ZsNurK5x\nc/0269NmZKD/rNno/9gTBraSDOiFxPVVJgxqiwS4vpThWBgtkVa8sfE9LK9ehedWv4y1Jok0m2qT\ngXhN4rsnk7gEjxeCKMJ3+KCUvJ0BI+NkNRElmQ32e+TJgnjgLVX39PcAAOxs2oW9zc6W8jW4iSpZ\n6S7vA+Z2YoPzB1KvW6NteGTZ31I+P09GYga7AHZQXnIi9eSPz5vuZxes6RICCBAEAUcUj8CA3L6O\n2qhwAtiHlz1F6TL7EatJos1KDnvfqUwiaqbLh4eOvQu/7HUMeBXdemf1olhuswppHWXdBQC5U0+E\nIMvxPIHOCmAd3NNmq3TvbP4Ae1ur8I91/+qw9sQIdr09BXZYkJaescZ4fKCNHykzsIR1o2VSnsPK\noAcFAxsOh/HQQw/hrbfeQixBgYuiiFNPPRUPPvgg3Clmc3c+1JTKLwqiiPI77ka0ro7y7yQHkKZQ\nE4p8fL1vjJhJ1jDJEuFYhErU4j20flcm1TlqVkVanfKUygcmQAaPVtVX2gOyXbzAz+fKoPZxJT6X\nr10BbLKTdro0agXfoMHwDYpLNh7+4SlUNu/GLUdN4y4LFmTkA9gNgN957A/UIhyLwCXK+vKXJEgY\nbWNnZQeVSE4KePmfWVVVg9n+5oatCMXCVLlQFmYJBDQDK6I+2GBYPg1Eg1y5QDgWNkgcllWtxIjC\nIYZ9X1rxpv5/vJpVOWXv1ZFFNqyYVMWCoyRLhFqBx1yOKhqOXE8OGkKN+O/mr3Bm32TWdUyJ4dOd\nX6JPdpkuG9rRVIHK5t04tnQ8lQwXioUtq/Htba3Cmpr1+GWv8foEUW+/yXPi55j9p6O39crOA9id\nTbsstw/MG2BYGuchokSgqiqq2vajKKPAEHBofR4ZXGbIXkwu+wW+2vWt5bkVVUGE0So2hBqpSViW\nm55MObk/2LaR0Er78kat+Dhgfn6v5ImXxE2hSpcdXHl56P/4UxDd7k4pFw3QAaMZGkON3L5YQ3VC\nkvL1rsUQAEwsm5B2e8ixedHOpTgqf0za5yIhEVVBow3xANZT1hvBHdsR3rcXSjjsuOy9EkoG9FZJ\nXE7H/IOCgX300UexcOFCPPfcc1i2bBmWLFmCZ599FitWrMDs2bO7unkGCCpSYmABwF1UDN+gwRRr\nQw4gjRa2UKReqiZQSw307235yPbarIZMD/QSAWw6yU5kGzojgG2JtFKDXQ0ngGUHUm0A1jqkdBKf\nyMCIZXjbg/W1G1HRvAsqVHyz53vc+/0jhn12j4gvYYt+v6mebGdzJfXdf7tnSbvbRgawGgPLBh+r\natahMqGv7p/TV3//7YTcIlWQdlU1oQbcufhBLN1Ha/cCZhKCWNjAYrodlELWViqknBz4R4+Bp08f\nZE9I347LGvS9Y/WMOGVj2AB2ROFQuEQZwwvigXtNG/2MfLtnKeZt/wzProova4eiITy67Gm8sfE9\n/FS3iZpA2zGX05fMwvtbP8EbG/9j2CaaDFPaBLm9sAowWLCZ8yzybBKutO8kHAvju70/4IElj2HO\n2tfw8fb5qKVkGvzf88iSUbZtVKFyJQpViQQ0r+SlxoZUArz9bTX4YNt/qfdO7nN88lycPm1o/iBL\nm3GNAedNJntc+QcILldaBWAkn69jPNJN4CSHwc6uLqJEUdW2H29t+g/e3PQfSmObKsi+bGPN1g4r\nICRm+AzxiKdP3/g/qorwbutJHYmGLxbo/7MSAiUcxv5330br2jW2vvR62xxf+WeMefPmYfr06Zg4\ncSL8fj9ycnIwefJkTJ8+He+/n94AaYf169fjvPPOw+jRo3HWWWdh1apV9gcB8CGIkpZtadthkSBv\nAaubmVyuDysRbK7fio11WxBTYli4+zvb6/iYQE8z4dYGmIgSpZaHFFXB31a8iCcWv2g68K4nykUq\n7fRO5eHx5c9Sr2uDvACWHti0QEAPzNOQRpCJSh3JDGgVtwDAJ/MH9uZcL/o9PAv9Zz4KAPh4+3zc\n//1j1D71wQaqI/ypbhOmL5nFTe5LBwFPvMth2es5a5LV8Aq9SXeF7/b+kNZ1SAlBOFGVawNxT2lt\n0D5r3+xyHFEUZ5rDsbBhMHVSJUgrmykIAkqvvQ597rrPMTPRXlgxaKLJROnwPLpYCLmU7pW8uHL4\nxQDiKxEA0BKmJ6KahycQZ3/2EZrrrY07qADWqX3TMk6CkNkSN4+BBeyLDZxz2OnUa1ID6yShy2rl\nJNudhdLMHqbbMxI67LASwb82vAMAWFOzHvO2f4bHlz+rB0WkjZbTa5N4cOkThvc0K7IcTzZkYlLj\nZCLdGmmDqqqYs5ZOCC7xFWOSCWt4/eircOOYa9AjsxhWDKz2bPEY2Oxxx+Cwp5+npHFdhXSSbhuC\n9isC5Diyt7UKL6x5FU+vfDHl67GsezrjEw/xEr00Y+8qLISUHZ+sta5byzuMi/pPk6WcWW1y3Sfz\nUP/JPOx+chaUgDPS66AIYCORCIqLjULpkpISNDd3fJ3vUCiEP/7xjzjvvPOwbNkyXHzxxbj66qvR\n1mb/o0wVlmPw/u87JLgJEvobK1siNmP1qZVz8NTKF/BF5SLkuO0TIthAT+tkM4lAilyK31y/Detq\nN+K7yuXY0RQXgceXkOPtWLV/LT4kZvntYWCbwy1chwE2m5iXpMIysBp8aTKwkVgEn+5IZqp2lruC\n2XljagyuggI9yWje9s8MiV51wXrD97W3tcrSycIOGYPjDF7YJSLsEizbCAAFGXnU63R+f1JCoCQe\npSDDAgYiAV2L6BJd+kRu8d4fqGAMcDbI27kmOEGvG/8CV2ERel51dUrHaQEP67QAmHuO/mnUFdRr\nconfI7mTEzZNMsMEsKS0ozXSRk2SXaJskBCkC7OgLdMkgL1p4V2W5xtZSCeEkkHrlN72vsi9mAC1\nl78ncS4P/nr0dabHuhKsE0/v2RBqxPtb4wP8kn3L4/sxv50opK9t1Jar87w5kAQygKXB80G+ZdG9\n+Os39xkYwsPzBlAMPzlu9ckud6Tb1a5nlhzWWUlYqYLHECcnHPz+zImkhUxy3lS/Fav2r8VPdZuw\nvnaTxVE0tjfuNPTlHUmQSEy+kCBJuldu0+JvbfvoWCCAhq++oM/BFHwJbk1Kb9iqX2Y4KDSwRx55\nJJ5//nk8+OCDcCVKOYbDYTz33HMYPXp0h19vyZIlkCQJF1xwAQDg3HPPxSuvvIKvv/4ap5zCN3zX\nIGj2KZIESXJ2A6qqiogSNdRlJtm+5kiz6fnYuvEa/rP1YxRmxNmwTJfRnkeDxtBokOWEbZEnGcAG\nlaB+fRehfWkMN0EVYpi+JM4Y3HzUNXiBYOMAQBVilt9FS7gVmS6f4YHd1bwHDy6ZjX455bj5qGuw\nu2UfdjXvxtiezrRBPhfDwCba4HfHP1dYiUAVYpbaPgAQE5Yu3+9bTiUvRdSw5edSVedaaPL3CSr8\nxAFFVfTrmXW49aEGLNy92PB+c6TF0f2ofVaRsLHpfd31aFryPV6pWQAI9kxcgY8OYINKIOXSrqQX\nq2oyTW+LBRFV44OSW3JRix4vr3udbkMsaPv526Ktjp9ZM2SPGI7sRx+z3U8Q4vdjQ7ARO5t26c9w\nvjc3ruG1CBj7ZvfGYXn94HbR961HljGicAjW1PyE3w45W/8sme4EAxtpo37XDFdykhBQAmiMJAfr\nYCyIfG+yxLDdvU6C3c/sGWCfT/1aFsk12e4s+D10f0Wex+OAac900yscZVmlemDnc3nhcZmfQ+sr\nWE9iDV9ULqK+4zU166nvw0UEc5cO+zXmrnvLtr0atAlcvjcXbqKNWZ4stBFkR6Y7E2FOMi+v/1dU\num8mfyu3LEEysYOURRlRJYqRRUP1wPWTHfMxML8vhhYMcvyZnILXL6WK1pAxwI6qYWTIGQhG+P1a\nY7jR9r4nx7vmSDJwiyHi6JnZ2bQLjy1/xvC+KArt7o80yNlZCBMOmqIsIffYY9GwYD4i1VUIbfwJ\nmcPMnYL2vf4qmr6jV3MFRaHvnVRLo+MgCWBvvfVWXHjhhTjuuOMwZMgQqKqKDRs2QBAE/OMf/7A/\nQYrYtm0bBgygl+f69++P7dvtq1ZphuwZmR699riqqnh15TuoaavD9eP/BzKjHXlmyVwsrliGe6bc\ngMMLk9WsIkjOGINqwLSWubvG/DbQtKHZHj/VgQ0qHICNNXG7lNxMenlBu44/lhzgRK+iv1+IpE4s\nJkUQcrXpBuH/2mT0q5Q9omnbv69cgccXz8GvBp+A3406h+Yt5uUAACAASURBVNo2f89GKKqCrQ07\n0CY3Y/r3cVsYj89ZnfE8k8/VA8klbo9fQo7X3M1iffVmfL51EY7uNRI7W+iMTdEF08/VEGjEXz9/\nCMOLB2Ha+N/btpVc9ldE/gAuyvHrhaJh/P0HfkLQmtqf0Bg0svX5GbmmbeUhN5cMOP0oOucMNHy0\nFGi1D2Dzs7Nw+8RpeHBhPKNc9CnIz07NMSSUlwWNj1BMAqBgNAjI8efNn+HF6YOmYvWC9dx9o0LE\n9vMvq1qF67J/n1JSkFOwDMeP1WvQINTh3u8eRzAa0tlQlyzDLbksA9hHTrmd+35BQRZum3Itatvq\nUOIv0t8vbo1PKNrCAep3zSGWFSWvgqCQXJGIiRFkZiYDw493fo4hZf2Qn5EMaoH/Y+/Lw6uo7vff\nmblr9j0hCSGEEPYlIKAQVBSpC7hXtNa9rdpWba3WpdZau2i1P1vbqq18rdXijlgXFMEFQRAR2few\nBEgI2ffc/c7vj5uZe86ZM3PnZr1A3ufxkcydO3PuLOe853Pez/sBjrYc00gT2Ots0dHwpiZH7yLz\ny9m3ITeNTmZNTQyvMiWbcKZJjU8CCMWRxRoeeLPTU5FmcAzJoJAHEJpYrqhYRW0jr0cCoQ8vKz4t\nKgKrYEhKJjLTwr85PyWbskdMsDlNF66w2Oi+2WoN36vM9GSV0LLE8bwRZZg9bAbyk4fgT2vCcq63\nyz9A2cip0f2gKED3S+bxv90f49VtWn22PVFCWlwC/O38oEF7sCNiv0FK+LbVhfufhASnqT53ZRU/\nUuuzeKLqs41Qm54G8i2NT4pHTul41A0fjo5Dh3Ds+X9i4uN/gDNPaxUoBwLY/ZVWitixcwcSLTKs\nSaF+5LjdimjXsE4JAltYWIgPP/wQ77//Pg4cOAC73Y65c+fi4osvhtPJXybuCTo7OzXHdTgccLlM\nLDl32Ue4PH40NoZmfHsayrFsXyj8/tLGpShKHoZJWaHZTpu3HV9UrAcAfLDrM9w4PiyVcHnDL1Vt\nW6N6PBZt7ZGlDXaRHpSTLeEOUAwwWhbiPDbRCm/Qh+ONDci1hrY3t4Qf09qWRsQjPBBurtYmSbS0\nt+u2/al1iwAA7+1ZiQuHzqM+sxIEesOhsMk4Sd4ynRlU5z01exK+rdna9bvo10NpAxmIOFZXj0C8\nliDJsgxPwINHPg+R5rVHvqGWGgGgpaND93ct2fshmlwtWHN4A64ZeYWh9k2WZcqWp6WT7gacFgdc\nfjc8Xh8aG9ux8fgWfHmEry3lkVcASLQm6LaVhCgKSEmJR3NzB4KMFYrXby7L2N3px1B7eJJQ39iC\nOH90FlQugsMHDThDXVtIOiL7BWSK2YizOLnuEi2d4WfQIkjwywFuPfg3Ny/D/BH0cxgIBvDMlheR\nYI3DTeOvgT/oN6WpZY/B4v4Vj6n/VghrIBCERdDv1ucXzdO9j8p2K5zUPkF36Pl2+d1oaGyF0KU8\nc7vCJLm6oQGNbeFnp93lQrst3P+UNxzCM+texk9Kw8k43oAXv/jsd5p2NDS00VFXndVJd4d5ay6H\nZMftk29EhpiF1mb6/gY84ROwvF+JFFLbgsxKF2EN5G4PoJFZCk+wxqMoZZi6olIF8wVDbKJVc7/+\n39m/hT/oR6CT7nd+Wnoz/rE5sk+sQ3aivTX8Q0cnl+DbqrCO0SKYfzY73W6qfX5f+Dltagr3Q6RV\nIwD4PEGkCRnobPXB7Qm3RYJEHU+WZVS1H0dOfGbElS4W+5sOobazHmfkngZJEnX7JRZBOYj9zYeQ\nlzAE8dY4bDy+Fa9u15JXADhe34haoRmrK2mCNq/wbKyoWIXatgZT/SYP5TUV2Hv8IM7InaauhPJg\nD/I5zO9WPY1/nvdkt87NImBjPLTdfjQ1dSD7lh+g4o9/gL+1Fdsf/i2G/erXsKbQk9SGjz6CHvb8\n45/Iuy0kl/IFopeKnRIEFgBSUlJw3XXX9cu54uLi4HbTMzK32414E7WclQisLAOBrhu6qSZMvhQN\n5S+m/gRFycNQ2RrWJDklp/odgF4mbvG0Up+R8AYiDwRsYlASoY1lOzzyPHHWOHg9LWj3dKrbfUQN\n7VZPO56J0Om6fV7dtuudFwC8hGlyRQvfcJlMQIu3xFG/kzW+V45vF8Pb2zydyHCw0bFteGXP2xpb\nKFY/5vF7dH9XkIi4tXk6dRNWAK02y8WI9+cMnY0PD62EPxhAICCjSYekGiHDkW7qHigIBmXN/mZ1\nkCIkSAg/U26fL6pzAwCsYX1m0GAVbUd9yFrIIloRCMhIsMZzCWyn36W2QbHPSXemoraTLuyxqWY7\nLiikiy9srNmGXV1lijOcGVhe8SkWllyGsrwZpn+OmXcUCGl19Qb607JLcf6wc3Wvpd528nnv8Lrg\nlOLQ6XPhvQPh0pltng6qEIXH79WQlkZ3M3WOxk6+PvDV3e/g/MJzVF9aPRstyeTwdX7hubho+HkQ\nBZH7GyWC8FsZ/edTZ/4Od656gNrmkGjC4CeqE1kEm+YckiDh1gk3AgD+H2ep1wgBOag5nkN0AqL2\nfmU5s00dM9mWDFGW8JPJN8Nn8WBC6lgAS9XPWV/c4pThlJUiiTR7KtOO8MtGbh+akEd5jAsI34vC\npAIc6Cp7m+agj/dF5Tq8ue9/mJI1EbeM/76p3weExr4/bwxFdhOtiZiQNRprj2zEV4c2YXz6WGyp\n245Liy9CuiNV8901Vevx+t53kO5Iw6Mz78fiXUt0z9PhdeMvm56jxtqHZ9yDA11Jr+3eDu4zZ5Ns\nEX1v3z+wAgCw7OAneHjGPWrBgxWHP8eaqvW4ZtTl+PTIas0kmkTU/aYORCaJS+56lyw5eci742eo\nfOpJ+Orrsf/nd0GMj0fOjbcgoTQk1atb+rbucTv27Am3sRua3ZM2iausrMzUf7Nnz+71c/PkAgcP\nHkRxcbHONwgoLwLRafOKBygdIZmAxXpBkiSoxdOKdm8HN9HE6AVQEMdY1pCm53pLfADhBUtYaZEv\ne7uvnWtlRMLocyMTcvJ7h3Sy6J2E/s0iWhBPEFry2OTvJZPWeIlc/7djMVx+V0RfQyNCR56bpz1z\n+d14/+DHONhSoa26wyQrKcvLynXvaWEJBQdbKrj2Y3owS2DTHWmqFRsQuWoRiQZXI1x+N5X9LzMd\no43jK6skHCYwSVBKhnpVezUW734TgWBAzfgnNZ4K0jgDIlkI5MNDKxGUg3htr36nzgObaKkHEaIu\ngc1PGNKtxA5ykqeQ+/8dWEa9xw3uJuo53Fq/E2+Xv08dh9Vd6/kor6n6Cq/tCV0fj59f/hSARkql\nB1EQDVcwSNLKPhs8CzKbZKWSoMh3w9K1/ez8WdzPR6eFfbrNwEzfrICtKDYnn2/hpvRlEzLHYO4I\n7T7sM3z9mIW4c/IPNfsVJRdi3rA51Da9p+vqUbS8iyyys2DE+eq/LcwE4s19ocinnmZYD2RC4eGu\nROGnv3oBG45vxr93voJNtdvw0s7XuN9dXhFa7VScaYzemU6fi3o+raIF2fFZap9L9nn7mw/hwS9/\nj9WVX+k6g+iBLN/77oGP0OhuwjNbX8CepnKUN+sXfOmtRGFeEpcC58iSUNJp13UKdnSgdR3hVWyg\nOw50rdrIfj/aN2+Kul0nbQT27rvvNrVfX5gcn3766fB6vVi8eDEWLlyId999F42NjSgri+wJqWjd\nSEFzq6GHazgyw1b9IB/eTr8Lv173R3iDPtw49hpMywknrynLk+mONK6dFADEE4laAgSkEJ6RFtGC\nmbnTsb1uF26fROs1lYgmScLIdrWZyNw2mqk6JLvqMRkIBqgBhxxQa3VK4JKDs1WyUpnNFtGCuQVn\n4UBzBb43+gp1uyiIcEgOuAPubhUzUGBUjYckyTwC+3HFZ1h5ZBWWV3yKkSlF1GfkczAyZYQ62CqD\nYXd8eVnT7qNtVfh/XVZkf5/zeER7H3/Qb2ownpw5HjnxWRAFUV2+JSPMdZ0NeH3fUpTlzkApU4b3\neEcNfvf1/0OCNR6/yVqobhcZ/SjveVKsgJIZg/dkexLcXdnbX1VvxPSccALgsKSh2NNIm9bzXAB4\n2cskDrUcxgcHV6As73S1aESzpwUHWw5jUsY4SKJWqqAHQRBUEsUi2iVYBaQbh8vngktyYX31t9Q+\nHx/+DBnOdMPjsMlVelnnAHC8sw71rkb8YcNTuu+/1eTviUQWrJT7ghUPnXUnnv7q31hQdD53/2ZP\nKyyiRS2KQ/5uZTyZmTtdLThA9ndzC87CtzVbNRnjvQGWwF5ZcjE+r/xSsx/Pq5bUWA9LzMc6bFD/\ntkk2jEobialZk9Ty3ucXnosFRd/RHCfNwV/qTrIn4vaJN6ulcEWin7aKFszOOx1rqtZr/IIVuY4e\nvAEfttZtR0lqMeVjTLrKJNoSuVnyCrFlwT5XvKfH3jXusPdRecZVv9+gV5WOPLf133AHPHhj3ztc\npwcjKL+t1ROda1IgGIAYQXdtBlIi7UZEFYoBkFA6BUN+dDuq/xUaE7y14ep/gijqm6gFgzj65OOI\nnxBdSXUFJy2BvfzyyyPv1Eew2WxYtGgRHnnkETz11FMoLCzEc889B4cjssegHFAisOHXptWkhytL\nYNmXVokI/mfXa5iaPQl7GsvR6G5SSXCmM12XwCZawwOzRZQoE3FZlnHt6CsRHBXUEJl41TNVj8BG\n1gfxyn1ur9+Ft/a9S9mDdfpdFIEwykZWQEoGrKKFclSwCBIuK76I/z2rE+6Au1vFDBTwIovNnhb8\nd9ebVPlP0mZFwX5i1s3OwMnn4NaJ1+ObLgN/lcBGEYEdmzYKuxr3ajSY2+t3q/+uczUgOy6T/SoF\nPaJPLqXNyp1BTRSsohX+oJ+KZC/a8TKq2quxp7Ecz5xDF2tYUxXSgrf7OhAknC5EThDCKlrVCc4l\nIy5Aalc0NSc+G6gLS3aSbEmU5Rq5lD8+YzTWVK1Hp8+lVqPjkS2957Dd24EEWzxWHF6FPU3l2NMU\n/k3PbHkBxzqOY/7webhg+FzTpVgFQYCkQ+zMEj4W5GSqwd2Ef237L5dQs1X8WLC/gffuK1XDrKIF\nm2q3Gk5e2eV+PUQTpLCIFkzMGYMnznwYQZ3g1aTMcdhSux0K1bpo+Dw0upsxNj0cXSVXUMiVMLtk\nw2XFF+Kf2/5juk1mYaZghU2y6doDKkhiJnEK2SpOKVIJbH6CNlkHABYUzUO9qwFj0rWRZjK5kZVX\nKdeLvd8JtgTViooNUADA+weX47Oja5BqT8HvZ4WTE8miEA3uRq6dld57wk70eBZ6SuDkWAdfz6y4\nWQTlIPxyAFbBQq2MRettrjxCle3HjHdk4JcDsCI6ssyDhSmDLdi1K5+J06YDAlD9z2fhq62BHAyG\nAnERnkvX3j1w7dWW6rak6ut+1X0i7jGIbmHUqFF47TX+EoUhmAisLMu6EdigHKSWFlkyZbR84PZ7\nVPP7VHto8DbqAFOJ5VJRkKhIpbJMwovCKZHbDl8nPq74DGmOFEqOYIbA+jiDGG8AaPW2UQQ2Ur1x\nAEgk7JmsIh2BNboeyqDOksFoKqnwBue/bV6kmdUr10iWZbR4W5FiT0aaIxWHWvl1qMkohihIqndk\nsGtENhuBLUwqQHZ8ZojAMoSFjMBXth1Ddlwm2rztiOuqgLW7YR/eKf8IlxVfiJLUYt2s5gRLHBq7\nrgNLsGyiFS64qPtodH1JQuOVwgOEhaMDI4ekYYlD1X/nJtAen8l2uuMmLcZskg1Pnf8wjtbVYM3R\nDVhdtY5bcUpPArPs0AosHHUZVd0pKAdxqOWIOjB+cGhFF4E1GYGFQC3PktCryx4JkiipEaeVh7/g\neiabAXsd2jkTs0mZ47Glbnso0S0CQZVMeqJGunYkmVDISoj0ap+bWyfcgLFpo6i+Ic7qxK0Tb6D2\nI6OhrLTLTLGEvkKKPZlL6NOdqWowIIl55pWEQ9LTVe+ZjrPG4SeTb+F+Rl4TdlJn4yy5A6EEOIV8\ntvnaKSkXELIdA0L2fyTIZ3TF4c+x4vDnYKG3UkE+d4FggHu9nBYHWrytqOvkr+yRUhRvwAuraKGS\nPqMuUtB1vaMlsJGKepgFKyFgI7AKrFmh/lP2+eBvboI1LR1CNyPA1kzjoAhwEmtgT1TIygMnKpm/\nLt0lFF/ARxELlkwZ1Ucnl6WVl98iSLqG7QrJBUJVf8gIrFGZSCXCubV+J947uBz/2fU6RULMRWCZ\ngU9HdqC4B2ys2YIXdixGSwQTaUmQqJrgVtFCSSWMol7K7yJJgdvv5lbA0QPbWbv8bu7S4ta6UIbw\np0dX41dr/4CVh1dx69bzIAmiSmgCUWhgk21J+FnprYT8gMkiJq5NbWcdmtzNuP/LR/GbdU8iKAfx\n9KZFONJWiac3P4+Vh1fhWDs/UkFOZlhCogyckTTS7P4A4CYIrMTJOiYnW+SAnRtPJ8KwhTx2EvXk\nJUFCWlwKhibmqdElVn9s1H5FP0wuJ35w8GM8tYmuEtfp60RADl/vTIOlelEQdSdePMJoFsrKBJu0\nFg1Y0sKTxijX0R8MUIVYeDAbV+W9x+T9J1eqeGTljCEhw/ZZuTMwMXNcSKYRIZpNFnlgyQpbubA/\noTeRvH7M1RiWOBTXjLpcE4FVrlVufA5KUouRYk/G+PTRUZ/bbkBg7USJXRKk/3OLp1Wzqqi3FG9m\nkqX3npA5HXpjmzIJ0StUYBNpAguA8mmPlsAqY0VlW7QRWO2z3+nrxN83L8InR74wfRyJicDqEVgb\nUTDKV1MD2e83XZSAhSXdWJIEDEZgYw8ynZHXYUA2PAEvE4ENdfgNrkasqVqvW3gA4EfhJFHCnaU/\nxAs7XsH5hediSfl76mdU3XFZpqpsGRFYXr1ypdoMECLDoiAavtBsp8bW4lZQ01mLNm+7xoReD06L\ng5ptW0Ur9bt4ZESBUo2LXBo3Q8ZJsBHifU37uftVdhH+d/YvAxAqMEEmiRiBJDTKZKfDhOwh3ZkG\nK5GsUt1xHB6/B3aLdqmv2dOKtcdCmrkmdzO8fvp+/e/Ah7rnIQksSwqUwUlvGdkb8FKRDjKC6xLD\n74UYDC9Nh/e1qveXtJ3KdGZQujujiQIZ6eQlbSjQmwgpg4vD4oDXG3oWPuZEiu7/8ne4fWJYWz4h\nY6waeWLhkOy6z21hUoFmW7ojlVpu1UOcxYEm8EmnWbDXgddOJUrnl/1U4icXJqUBvOtvl2xqf5kT\nHx50eUl4C0ddhtOHnIbCpHCkXi96p35OPIts38ZGYHPisrBw1KV4evPzhsfkwU7kAJjBkHi+U0Fm\nXDp+Oe0OAPrPqyAIuKv0RwjKWqmYGZASAj8zqVMIH/tbnIQTzM6GPfjXtpdQmjUBEzPGYWRqEeyS\nXQ1wkO1qNOFjS95DWZZR21mHDGc65UrhDnj4EoKu38ImWCv9MjmB8agrTFa40L1VkGWHVqDV22rq\nd5HgRWD/tPHvqHc1YE9TOeYWnGXqOGwpWZ6EAABEhwNScgoCLc3w1tbAW2PeMo53rIj7dPvoJyBk\nWUZlZSV8Ph+83u6XNuxLyEFaQhDgzKAUeAIe6nNFQvCv7S9h5ZFVhufhLSdaRStKUovxeNnDmDOU\nTjhjs3PJaJeecB/gE1gWkWajbAR2rw7Rcwc83KWiKVl8gXhADlKzYjaJyyhr3tkVkSJlG3p2P3pg\niZne7/IEPGhgsv3N6HsFCCECy0RRlfMaRZGUzxTy2+Ztp6q9kANNg7uRIjZGSRfsOUl9pYbAdj1z\n5G8l939r37tUUgMZwf1Pedj6RgrImqgX+fySERdJlFS7GsCYwJLfU6JLHj8nAqtjgaVsZ5NvWATk\nANYe+1r9m+eioMBhcWgkBHkJQ3DNqMsxKVNbKef2STejOGU4fjDe2GKQtdHrDoJyEJ8eWa0mtfEi\nrMqEMhAMRCTLmc50XUJGgheFyokL3+Mh8dm4edy1+NGE67nOElbRguKU4dTzGUlvSkZy2aihk7Hn\n++nkH6Akle9Qc2beTMPz/HTyLUiwxuPy4vmG+wHAyJQiSmOuh4iVBbtBXoEIEVgLfwJIjg3LDq1E\ni7cVqyrX4m9bnsfWuh3qhBoIBxOCctCUlItMJNtQswmPfv1nLN7zFjURdvs93FC/YrGoBAVy43Nw\n37S71PvASghC26LXopJ65TVV63Gole+mowe2Lz7UcpjSqpst0y1Y6GdCtOuTSyUK66utRdtGvt+4\nGYi2yAVhTgkC6/f78eSTT2LSpEk477zzUF1djXvvvRf33HOPxq91wBGkk7iM9FtsBNYd8CAQDJh6\neXlJNcoLplZPIToq8qVWHvnvjb4S07JLce5QfSsy1n6rO2CzuPWS2jx+D5d0JtuS1A6H9P1z+V3U\n77KKFoog5TI1z0mo9eGJ68gmJkSCh0ni0rtvbr9HM+Ewk9SjEBlRlRAEutoZ+r8RcbJ2de4kGTrW\ncVzt8MjrvLtxH6UN9Rt4lrLX1K4TQQ39rY3Akh36uupvsGjHf9W/yUGxMRAmtoKsjXqRS4/sgD2E\naKPRci9JmFUCy03i4ksIFG27meQbcvnfbkRgmXt637S78OD0n6Ms73Qu8RgSn42fT7lddT/Qg1On\nbGu0WLr/A3xY8QkAfgRW6YP8ckBN/NQjTKIg4oFpP8MNY6/WfHbR8HAxCd67csPYa1CQmI+FJZcC\nCBUwmZQ53vTviMbRQWa0tGylNt79nJAxFj+ZdAuuGGlMTIuSC/F42cM4t+BMajtPH/yzKbdhaGKe\n2Wb3Osj3m+3T7SKfwBq5b2yq3UZdO2XCU9l2zNC5R0G9qwEba7YAAF7e9QYAYMPxTdS99QQ8EDk0\nycncQ6fFgYLEPPVdpiKwXf08KSswixSTUjE9sBFY1o7MbHIoCz0JAQBYs0OTSm9NDSxJ2vYnnzUH\n1ozI+lbBoCSz2o6Ie5wEeOaZZ/DZZ5/h2WefhcPhgCAIuPbaa7F161Y8/vjjA908CrIy4xRFvF3+\nPh775q+6+4YisPQD6gqYI+Q8HSSbNHFX6a1ItCbgipELmMpBoQ55Vu503DjuGmoWzCK+FyI3ZATW\nx2Slk/B0ieVZWEQL7jntJzg7fxbuLP2Rut0u2anfbBEskEQJt028CZcVX4TJBgOaQqSU63ikrQqP\nfh25hj0JX8BHzYD1LMVkyJookhldqMiQ0GBXZ6bMyo2IkOLHyA6ESuTVaNnSaNLFRszIqAw72bFx\nNLBOhoge7DJAD52XuCZEBExAWPKhgI7A0s8MqTE1qphFEk9jDSx/kGjyNCMoB00lG5JOE0YTD7vF\njloiwmKkl40GPdFtsu3dcDzk9+jmRKuV99Ef9Kvyqe8wXqMkQglm2ueYXBrlXf/MuHTcN+1OnJlv\nHOHUQyQJgRFYQs5L6rKKFoxNH2WKKJPR3tsm3oiCxHz8fMptAML2cN8Zdk5UbVS+Z1RAJVqQ7dRf\nbfFRUVdWe08itNxP2CZ2vUd6lok8vLjzVVS1V1MRU3Jlhfc+3zj2ak2RG3ZSYhWtqvSgJxFYVoNv\nBFEQ8cvT7qC2sQSV7WuaPC1YdXRt1NIgI3Jp60rk8tUe19hvAUDc2HEofOwJQDSmn0KEz4FTRAP7\n3nvv4Y9//CNmzJihvkTTp0/HY489hjvvvBOPPPLIwDaQRFcEVhAEXZ2bgjZfh+YBdfm0BJanMeXZ\nP7EEtjhlOB4r+zUEQaBmzHk6Fio8kLZU3QUZgTMiTi2eVtV7kUS8NQ5D4rPx3ZJLAAA3jfselux7\nDwtHXUYTlK7+dULGGEzAGMM2KQO6ch31TLGNIEOGL+hXOzYjyyCyRjbAH/xZKMRVIVp+OYCgHFQn\nPSR5ZMuiKgM0S2DbvB1wWByG8gojeQOb5U+SD5YUqBFYk0lcuueVw5IPBeTEyojAGnmIktdGsZnz\nBDzo9HWiprMOyfYkpDlSdaMcQTmIFk9r1IOHoYRAslNkkyX83UVP3mO271HeYTdnsq3ci6AcVJdL\n4yOQqGGENlUBOZE16+AQDbrrqcsDL8Lc3ezxCRljMSFjrPr3lSMvxuy8MyjJhBlcNuIiZDozMCbK\nwguRcFb+TGyt24lLii+ktpN9kTfgVUm9UQTWw+hTlT4pUoUrFhuOb6K+wybmklaN84fPw7ScKRot\nKltQRxAEWCUrvAGvShrN2r6RMJusC4T6KvZdYCUEbUxketH2l3Gs4zh2N+7F7ZNuhh7avO2oGZ+P\n7B2ViJ88xZBcKhFYX20dxCl0v1F/xhjkTwwlQgqiqFYe5UEORH4HTokIbENDA3JytMvBKSkp6Ozs\nflJCX0DRwBrNPBUcajms6Zx5xJS3dMElsJwZokL4rZIV84bNwfj00bh5/LUR26bAjAY2EhQCs7ex\nHOurN+rup5f0wXYCp2VPxuOzH0Zp1gRqoIsmWqwsqSoSguNRGJNnE4OJN+DFkdZKfFzxmWGW+MeH\nP6P+rnXV6ewZhtJhkgPk89tfVgdHkjyyBCWsgaW7iDZfqAM0JLAGEUU2AkuRVoYrhol9+HhGmi29\nqLQAre6QJNIscS5MDic7xVvj8EMdfSj5bA9JCP+u9dXf4s/fPoOH1z2Oxbvfwp6mct02V3fUcImc\nHiyCZEieHBY7FpZciryEIbhuzFWmjxsJehFYXmIYC3YCojw7RhpY6tzMsylAwG1EUluKPRkPTPsZ\nvQ8R7evuMqkRriq5FBZBwqQMra5YwYjkQgDQLYjA4ryCs9V/R1OBywiiIGJIfHbUBXuskhVzhpZR\nCW69gatKLsXvZz6oKeFqpzSjoedlw/FN2Nd0QPdYbr+H+l2Kr7ZZ1xIFbDZ+HbGC8SITmFDePTaI\nw1sVUWQRYXIcfdGkaCLgZiZCbT460Vix69vRsEfXoQIAPj2yGktHu/HuWcnIufU2w3bYskJ9oez3\nwVcfjoa/cEk6XhneEE7qjRBhNSK3Ck6JCOyUKVPwxhtv4Je//KW6zev14rnnnsOUKVMMvjkA6Bqg\nO0wMagdbKjQza15ZObtk0wySXA1shBniJSMuiNgm6g0WrgAAIABJREFUFj1J/rho+HlYdmglfAEf\nPH4P/rZlUbeOY7QMQ3Y8k7LMa+CU39Xpc+Gtfe9G1Z7JmePw8eEQ4fUEvfjr5n9FlUkMAA0ubeZ4\nij2ZsnVRSAcZKdxeH47kktIPm2ijzP2tOhKC1i6nBSMC2+7VnxSyA5eVGLiSrIz/pKiVEBgl/OlF\nYKszrBiXPhpbCb/VCwrnorzpAIYlFWgG9+y4TNww9mp4Ah7kxGeHihswuKrkUup7CdZ4JNuS0OJt\nxdL9HwAIRdi/qjZOYjjcVmn4OQtJtOj6vAKh5JKCpHw8OP3nUR03EvQisJ6AB2n2FDR6zGdHB+Ug\n3i5/nyIKCqyc8rBsH/LkmY9ozPjzE/VXhcwkekWL3IQcPD77N4YynJ9MugVH2qtUIhsJlxZfqCbf\njkod2QutjE3wyDSdte+BN+DAS7teNzwOK6HzqhHY6AgsCzLJSW8ikZ84hPqbJ6OzSTbAF+4ruzMp\nMVptYSFyZC2s9MzIQrHN2075vZOoczXAaxNRkWdHtbse+Vb9981KWGl5j1UBAJyjx6A9PnRdVbed\nSJMqEwT2lIjAPvTQQ/joo48wf/58eDwe/OpXv8LcuXPxzTff4IEHHhjo5lFQZh2s1RFvdtXobtZk\nriuDJwney8XXwPb+fMYmWbu1dAKEMz1lyNzBzixYM3oS2XFZuKBwLi4dcaGmJKsRFE2lDJkrWzAC\nuSTqC3ijJq/KeQF6hs4K/hXSoWecTpJ3i2ihl/O7ZAdsp6gsQXkN2tzs1vffJf2EgdBy/dyCszAr\ndzpGp9GDNk9awatg89a+d0MJjUzy2DtzkrGzyAHx8otwRu406rM4qxP3T/8ZrhnNr9g3PWcKZued\nof5932l3GhY8ILexSTtGOE5UXDODOIvT0MCf1eL1FvSqNzV7Wk3bWZHQk0fx+gqHZFfLlo5KLdZt\ny/VjQ+WDFQeVm8ddi5m503F+YXT6T7NwWhyGGfl2ix0jU4qiytr/xdQf4/Li+aoG9VSBjbGd2s8J\nxLBwBzxUdF0hrkfbqnq/gV1QCuUk2RIp+QJvhULtv7oiw92RhUSjm1UmBmSQgD2nEYnmuXUooArX\nRCimINrtsKSE+nlvdWhfUjOruPWQMoSCh3+rOY4ZCcEpEYEtKirC8uXL8f777+PAgQPw+/246KKL\ncPHFF8PpHDhTaR4UAusDffMkQdJEn1oMSsySsHMGBaUkIInuEs1IiLfG6Ro+G4Ek3nVRCPNZJHNq\nfysQBAHzi+bpfq6HSOUYjUAuPZvJljVCpjNDlR6EykQ6VA2X0qkOTcjF8KRhGgsWO0VgQ8kwyrF0\nJQTedrR521GhU0ccAHbW7tP9jJ1MTcgYi6nZk7j7KtIXUpLAi8CuqlyLvIQhmqXqI0PsODLEjtuH\nlHTb+kdBQVI+fjntDqyt+hqdfhd3spMbn4Pdjfq/nYc9jfryAh7SHCmGEgJWi9db0JMQuPyuXtPZ\nAvw+yCJKmDdsDkalFhvq72fkTMWo1GJ1xWVq9iTdZ2ugMSNnKr4+/i1mDqEnVkXJhSgyGbE9mUBJ\nCIJeU36nHr+HWp3xBX1o9rRwx7bewrTsUgChgFKcxanK1tiJOaAtzmBEEPVgFOFnodDpB2bchXu+\neKTrnCyB1Y9qGkltyBVbM5p9a3YO/M3NkH2h+yMSNlwq7Sd9tHO17hiJ06ZHPM8pQWCfeuopLFiw\nAFdeeeVANyUylHKfARcVH7eIkkbbYzbSQw5qrKE7CaOM656guwSWjBBGWwFoTFoJChLzkWJP6tUB\nVkGkpJYxaSW6ZIaMwNZ2dj+yzLbDIlgQZ4kjCGyIKAuCgKtGXYo/ffM09V3awsoKWaKN/gG+hOA/\nu4wT1jYe28bdflr2ZM02owiDVdImcelJCBrdTRpzdAVKhPunk3+At/a9i0tHXMjdzwxm5c3Q/YwX\nlY2EaKtjSV0lKfUQzYAXDfSed6toiajsGxKfjWqTkWaytLMCi2iBKIgYnjws4vfZUqOxiqtHXY5p\nOaUoTh4+0E2JCVARWL+XSpzSgzvgoTyWO/0u/GrtH/qkfUCoTyedR6ySFeg6PW/pnS2PG231LQCw\nRmG9pUSEE2zxiLM60elzaSKwRm0wSnYkE9tMEdisbLj2hqsWgiKwXT2GSPQcUvi6igkJyPvpXXCO\n4HsjkzglJARbtmzBJZdcggULFuD5559HVVXfLTH0FEqSyhrCuBwIm9LrwUjnSXYORnY4kTSw3YWR\nDpYcjFk9r4OKwEZH9FLtybh4xPndtsmJhEi2Qkbi+ziLU32JexJZFiBQJF8SJSq6S5IOXhSejcCS\nz4lCLLUuBG0Ro4ZNLu1k5bdn3Mf16zSCLQoNrCRIXA1sQWI+JmSEHCXGpJXg4dPvxUSOoX9vwMg3\nGACy4iJ7H0bCvGFnUzY/bJ/Qm9nxJPRWHG6fqJ+5LAkSxqWPxg/GX2dIuknw+rG++k0DCZtkxZi0\nkj4LGpxoEAVRnTR7gl5NGXDe8+NmIrAHmyv6tI2jmGITpLSJS2CZJC5ehJP0Hi7LPZ367PqxC6Oz\n3iL4oNJHsOc0kjEYRWBJmZsZAmvLpnXnAqFtV6QOpISA1EVb09PhLDanAT8lCOzLL7+M1atX4+qr\nr8bq1asxb948XHPNNVi8eDEaGxsjH6A/0UVgg0xYIyjLmkxqEllxGbqfkf6aRobkfTVQxBtEK8kB\n+OdTbsfIlBHq36TXnlGZVl6E9fzCc6NtZlSwitYIkbAwOZyaPUlT8Ushi2QlqWghCaLGhooksCTp\n4OmgyW2sBjYcgdVKCLqDeGuceq+VpJbpOcYJlOFCBpFdCLxBn0aOce3oK3HftDujSoToCXLis7ll\nJxUYTTLNSlLGpJVQzxZ7zL56h/UisKPSijEzl7/UV5I6Aj+edDNy4rNM6+t5CT5kqd9BnLwIl2P2\naORxPILoDnioSauZksjdwb2n/RSXF8/H2Ux1SnJZPZUT+WfLS/PI44Ki7+DGsdfgD7N+hYWjLlW3\nz8ydjhk5U3VXVH44/jok2ejcDtLrV5UvMMVyjDSwRvaHZNs7TKwakYlcACBYwmOl2kd2QzvP4pQg\nsACQkZGBa6+9FosXL8aqVatwzjnn4KmnnsKZZ54Z+cv9CD3rCBmybjIOwNfgKEggSY0BCe67wc8g\nAktEkyyiRD3TZASWtf0iI6BshHdkygikO/XL2/YGBEEwjMKSbZ8xZApumrJQ/dsqWlRC2xmh3nsh\nx+NSgSiIFAmVRIm+LgTp4Fmp0eTXQhEjJfrJPhMsgeXJAsjvKyCJ3W0Tb8IPxl+Hq0fxE6jUYzBJ\nEIA2AqssGVe1V2uWqXuqe40WNsmKTIOJpJGnI28AJOG0ODA9O0T4yfsmQ6YmcH2RiAloC0GQ0Kun\nTi5Jmu1bRIi4fsxCalsvjHODOAFAakY7mCRjxWeZhIdJ4mJtoCKtkl1WfBHVL41MGcEt/FGYVIBz\nC87UvFskgeRNkm0aDayWPNpEK6bllCLFngxREDE+fTRskg3zCuaon/MwLn00/jjrIWobWf5d8b0m\n/cL3NR3gug8pMIrAkv2unl0lCcVKS0GkCCwF8zmwpw6BBYDGxka89tpruOeee/D000+jpKQE999/\n/0A3i0YXgQ0yd0aWg7oZxhcUzjXUZFJROQMy2VcDPumvykaoyAhfKOIW/pwk7GwpVZIU2yQrRb54\nOrq+AGmOzyZekAO2VbQgSExMRAgqoTTqUAA6Cs1GmkVB1BQjIPW1ZAfOm8lT8gNBpDJNFfKYzfhA\ntjIEdlbudNw37S7cOPYaantmHD0QCMR9jrM6UZo1IaJeU63OQyZxgSawyjF2NuwBi+6awfcERjIC\n6voyA1Oqw5jA/qnsN7hhXEiCQd7zoBxEpjNMmvtqEmqX7Lr9g945SfcPswmigiBgxpCp+AHhvdtX\niWmDiC0o7/um2m2ahNMEok9XfJuDcpDK52CJlV2y49GZDyCbI905r+BszC04iyKsuQnZmJplPunv\n+jELkR2XhR9NuJ77ORsF5UU/2Xfqtok34U9lD6v9J48Yz8ydDqtk1axWkMdSVlqVSmL1rgY8vflf\nhr/HiMCSyV8tJlYNrZmMf7CkjcCmL7iEv6+B1zeLU4LAvvrqq7j++utRVlaGV155BWeccQaWL1+O\n119/Hd///vcHunlcyAzRCzKRFhLzi+YZJiqRBJZddiDRZwSWOP9tE2+kPiOX4dnz20Sruk0xXFZA\nRpUtgkRpdMzq7XoKOgpMX3/SHN8iWqgZrEgs/bczeiKW4JMRVnaZWRRExgpLoiYyZPskUdIY9rPE\ngDSlV+yz0pjIvjvgpjpVQRBRkJiHaTmllH2LxJAao6V1PfAqcbERWFZXSibFeILRVeTpDeQZJHKR\ny/3kygMApBisoLD7k8Q/RGDDg3BfLbcLgmAoBSJxxcgFKE4ejsuL56vbTEsIup6T0qwJuLx4Pq4b\nc5VqXTSIkxtKf8QrXkA+A2YlQTJkpDtSkc9xrlDGFbqgSah8r1mMSS/Bw6ffQ+lYSbBJXLwJNTvm\nCYLA5CJof2uiieIGcQqB7Qr87G8+ZHhewNglgSTfrD6ZB9FuhyU1vAoqS1q9a1LZmRh634MoeOg3\nEY+ne55uf/MEwqJFizBx4kQsXboUH3zwAW677Tbk5+cPdLOMwYz3sixT0bhrRl0OURDx/dHfBWCs\noSOX2FmvUBJGBuk9AUmu2YGbPGfowQ7PvkRB1F1CIX8vGwGKtupMd0H+LlbeQUsjLJiQM1r9O9me\npHZMtZ10RS32HpCkk/1VIqOBlQQLFeliy6eyhJWKgAoCleWtRLwFQcAD036Gs/NnqZ+RchXSpN1C\nnJsly925J8q9D8pBBIIBbKnbobbr3KFn4v5pd2me55l5YT1mTw3NuwMj03xaQkBfj0gSAhJk4k9Q\nDmJcxmjuZ72NeJu5oiTnDJ2Nn0+9nfq9ZiPD5HNybsGZOH3IadE1chAnLIyIKSkhiGKFueu4+hUm\nhxArJlbRYqqynPnzKhKCUD/EkxBEChrxxj8zpZGVsUmJwLLSL17Ay+i4ZODAHfBoVkR5oHSwHA2s\nIIpwjiyBFE8TcnuB+XtwSqjjP//884FuQtRgk7hYrVtZ3umYMeQ0NbJBRtuuGLkAb5e/r/5NSg+M\nbGb6KgJrZwzzSbCElpyl2kQrrJJVfQnNHtOolGlvgrzmDkZbTEaBraIFuYnZeGDGXbAKNtgkm25n\nLYoSQBg472sORyMa3E2wihZVbM9qYC2iBJEgAKwGzCbZqGU22l4tVFRgRHIhajrrMInI1M9PzMUF\n9rlqwYaarrK5cwvOop4ZC6NnJtGdKQVJxrxBHxZtf1n9uyilEEMT8yjCnmJPxuTMCXgZb3T9vv5J\n3iJBLuezSGOqkJn9jAV5zYOyjOnZU9DoakKaI7XPNLCAeQLLgxGBJSvAdSdSP4iTA0bvK/l+GJWT\nJqFMunnPnvKckRFYUZQgiRJ+MukWPLP1hdB5I6yMGIEtJcuLwEaa2PPGCbLAih7CGtgQ0WQJbJzF\nqXETMCrBy7a9xdMS0Z7Slh220iIjsKLObx5y+0/RvmUTMq8y71Zz0hLYhQsXYtGiRUhKSsLChQsh\nCAL3wRcEAa+/blyybiAgM/dYhIC5BWfhm5rN6stMDlbkw8QmdJFkKmEANLBU0gmzBMyek1yqsIgW\nbvIRe0wNgY2yFnZ3QS7Xs/pkiZEQAMCwpHwEAqFnUC+yzMofZuedgQ8PrVT/tkt2isA6GA0s1T4L\nG4G1Gf4tCAJ+PuV2BOSA5prGWZ0QBZGaibNkg1y+loSeSwjIa6SZlHS9y2QHPzQxD3bJhjlDy1DZ\nVo1ZOtnxfYnchBxMyBiLZnczjjIVa9J0yjQCQJrTPIElEUQQgiDgguFzu/X9aMDq7ElJhF2yG1aU\nYyc0JOySLUxgBzO2TlkYEdh04v2I5H8+JWsipmRNwsSMsQD4shqFRGURE87OLkI3Nn0U/nzmo/i2\nZivGE6sb0YJM4iL1ullxmerKmxhhEZyMHsdZnPjVjLtNeR2HJQShd5LNtQitytLWlMYaWJrANnta\nuSW2SViJRC5KQqAzFiROPQ2JU6NbcTlpCWxZWRksXea5ZWVluvvFaoepIbCihPzEXDw68wEkcHxV\nyZc6gUliIgcPh8WJktRi1HbW4f5pd+H+Lx8Nn6MfCKyHISL5CblUkQJyphfSA/GJnk2yoSAxH0fa\nKjG/aB7K8k5XI3TsOfoKpIzBYXFgZEoRyrtKILIVrFjoddashOCcoWUaAquY30tMEpcgCFQyGev+\nwM7medZagiDodPgicuNzqDKCGrmDUQS2G+8ZGYF1BeglKyWpgLURA4ArR14c9bl6C6IgqjrvvY37\n8bctz6ufkRMK8moIEAzdQYzATgj7EqSWvSAxHz+YEE60+unkW/DiztdwPmHlQyJS8QXlmRYHI7Cn\nLIwkBGQENiAHDAvyZMdlojRrgvq3UQSWnFSSUUqnxYEyg6IlZmCXwr62fmZlUYFeNDK8LykRk0wX\n6ggncYX6TdbFh2enaSQhYCt4mSlMZMsOR7eDEjlW9N47ftIS2DvuuEP994wZM1BaWgqrlSZDXq8X\nq1at6ueWmQObxKWQhXSdpUayXCq77EFGwwJBP+6c/EPIkDUzob4isKS1ENv+q0dfCl/Qj9LMUIfD\nvih62ct2yYa7p9yOdl8HUh0pFPH19VPyDi0hsOOmcd/DskMrMSNnSsRSiHqdtSRIWFhyKd458CFu\nGnuNRttMRnoFhsD6g34UpwzHjWOvRqItkRNxNdDAmuhUrhg5H09vDhMykSGp5EDBSkN6GoElLXLS\nHKkY31WcgHw++qoUcncxKq0Y8dY4danOIlqQG5+DYx3HccXIBfjv7jcBhN5tNoKflzAEVe3VEc9h\nVBqyt0EShqtKLqHe5aLkQvxu5gO63zUaHEuzJuKTI18A6H/rs0HEDowisKSTjT/op0pma49Dv0u8\n6L/iikL2r2YrW5qFlYjABogEKTIoE+l5J/tRnoZWD8qKrEuNwDIuPpycmegisJEJLBWBJapu9WbQ\n8KQlsH6/X7Uuuv766/H5558jPZ229tm5cyfuuecebNvGL305kGAjsJEy64uSh+HiovPhtDiR7kzD\ndWOuwjv7l+G6MVdRL7BfDkAQBC6h6KskrjRHKn444Xr4Al7kJuTgp5N/gFd2v4Xvl16OJHsi5UzA\nvih62jm7ZINVsiJVCpF18kXvr+QdsvNzWhxItifhe6OvAAAUBP0oOLoGCdZ4ro2LbgRWlHBm/kyU\n5Z3O7dzYiCPvONN0CgTYmY4zWsulEqYSjVEVKIsgwSZaVQeBbiVxEb+NNCn/xdQfq7/bRklJ+sd9\nIhoECPs0QRBw72l3oMXTilRHskpg/XJAM+j+aMINeOSrP+kOqhMyxmJ7/S5cO7r/ymN7/OGJYbQl\nW/XK/ALA/OHz0OHrDGl4BytTnbKwG5RNZfWWdsluQGDp4/D6OSXyKQgCZuedgU21W3HR8HnRNtkQ\nyu/xBf043hFO1iWjqkIUY27AgGCycDIuBJoILI/AGrgQBINsBDZyqV9rZnjcIyOwvbnKctIS2CVL\nluCRRx5R/54zZw53PyN5wUBCIyEw8aB/pzC8fHf6kNMwI2cqBEFAZVt42dfIGzOalylaTCasRsak\nleCxMx9CWloCGhtpcfnsvDOwpPw9tdPR04oaeUN6B0ADy7bHKlpw37Q7AfDJm15RCmUSQd7voQm5\nONp+DMOTCmjfV1GiIneRIgjkd0VB1DgFmMGYtBLsbtxHtVUBeTxJtMBhccDr7f69ICOqja5wxTyy\nTC/5fFhiLAILaCdkoWIH9ESa9fMFQmT87KGz8PnRL7mTzR+Ovw71rgaNT29fgtS4Gtnx8eA1GHyt\nkhXfH/PdbrdrECcHWEkTqRVlV3QcTF9GavO175K+hAAArh51Ga4quaTXo//k5Hp11Tr136VZE7Gn\nKVSOO5qgUTSrLawPrFEhIAWGlbi6zh1ncaLT7zIVgRVtNtjy8uGtqgSSEoGuAl6DEVgTWLhwIYqK\niiDLMm644Qb8/e9/R1JSOOlAEATExcVh1Cjzvm/9ie4QWBbKg0KSHKPayn0VgY0GZ+adgXRHKgqS\nQjZnehEZXqeUYk9Gs6cF5w7tn+pq5Ew/qprVoEkYCV6k/ceTbsHGmi04LXsy3tj3P2pfsrOOlJ1L\ndqiSIFHX0GyXQuogI0VgE20JmvKu0YBMUmzq6jAdkoM6D3ndYzICa7Ds971RV2Dp/mW4bsx3Ne4B\nFsGCS4ouQKYzA6NSR2i+K4lSv5JXAChKLcDuuv3q+aOBXgR2UDIwCAVkZNIiSBRJZUGOaan2ZGqF\nhpVnkZp+S1e/x9qz9cVzSI4PpA3YjCFTMSQ+G4m2hKjOa9SXsFAirJ6ABysOf456IgAA8EtD60kI\ngnJQ1dKmO1LR2W6OwAJA7k/uhKfyKBqKMoBNoW2DBNYEBEHA9OmhLORPPvkEubm5ECMk1sQSWAJr\nVFI0EjKc6ZiZOx0tnlZMzBinu18sDCaSKGEiYeGkZwvEI3oPTPsZKtuPoYQz4PcFyOtl1tpFgZ45\nO48YJNkTcU7BbAB0xy0xEoJIOlPaM1akrqHZTsUsgZVEiVv+MRoIgqBaLCn1t9nlQTbJIdZwWfFF\neLv8fQzn+EvOypuBmbnTuddeEiVYJSvOyp/ZH800hSvHXYTm9naMTY8+M1svujOuG8caxMkJ2lnG\nioWjLsVT3z6Hqdna6ljkxD3eGk8R2GFJtMc7ObG9f8ZdSLGlRLSA6g2QRFohn1nODFhFC0akFPbK\nOS4dcSH+d+BDnDN0NrU9jkjSevfAR5rvRaOBfXbrv9V/pznTcLT9mGkCa8vKgi0rC3UtFeo2AQK2\n1u3A/uZDuLjo/B7Jhk5aAksiJSUFixYtQnl5OWRZVsmGx+PB7t278dlnnw1wC7WQiUFtStZEfLfk\nkh4dz4xWLhYILAu9xBxetC3BFo/RaSP7ukkqqLKtJqsUKdAjd5FIGEVCxZCOdXhSASrbq3FugXHk\nmfyuKIjdmgmTRTEiuRAUJg1Vl8q6C5sUIrBKxTI20k0OEr2dhNEbODt/FoYlDkV+whDu53r3oK9K\nwvYE8bY4XDfuu6oVXDTgWdtNz56Cy0fO5+w9iFMR5LusFBX40+zfqJHYOfll+LzyS5wzdDblXEP2\nvVnODI2nMvsu9Qd5Bei+StHrRrtyEQlzC85CadYEpDvSqO08lwHqcw6B3VK3A+2+Ds3qoCIZA8Ku\nDe3eDviDftP91J7G/eq/BUHA812OQU6LExf2wAIw9hhLH+Chhx7CSy+9BAD46KOPIIoijhw5gtWr\nV+P2228f4NbxQQ4Rt4z/ftSas+4gFiQELPQIbCy0dWhCLubkl+HMvDMwPGlY5C8QYK3OFET6XTzf\n159PuR2PlT2EVAOfUQCwGXjGmq14REZg2WPQEgILzi88F9OyS7Gw5FJTx+ZBuf+KzRK7PGhjqlLF\nGkRBxIiUQq5lmRFi4fnuTfAmxzeMu3qwTOwgVJBRVWXlzWlxqJO8y0fOxwPTfobLii+CjPC7ThIu\nHqEqzZyARFsCshMyMaQfZTdkwEDRonYnSDQtuxRASHLEQhAEZDjTNRNhIwI7NCGXcgYi8ebe/3G3\nK1CIsgwZLVHIw5YdWqH+m1wprGg9YvoYPMTeNL8PsHbtWvzlL39BWVkZ9u7di5tuugnjxo3DH/7w\nB1RWVg5087hgJQT9gUimygOBoYl53O1iDCwXC4KAK0u65zmqFwWIHIHVklBJlOAUI0eA6eht6Lu/\nn/kg6t2NKE4eHvH7AE1g2Vm8RCVxibBKVtw47hpTx9WDQlgVKyq2sAWZxBWLEdjuIhZXQ3qCW8Z9\nH89ufSEqK6BBxD78gSDeX1uBEXnJmDginJwYlGW8s/ogctLiMGsCf/WBRaTKeaIgIj8xFwCdBU8a\n6vMinHaLHX8oewDpaYloa/F0awWhOyD7KsUNoDvv9fVjF+Ki4fM0yZ9G4EkEgFB/n2xPQoOrifv5\nt7Vb8Z32c5BHrBgpMi6LaMG07FIsKX8PAPDUt89iQdF3oi73TPbTRknlZnBy9ZI6cLvdGDEipIsc\nOXIkdu7cCQC45pprsHTp0oFsmi4GhMDG4KA5M3eaRt8DxGbCTjRIsSdzdZFzhhq7YrAuBNGA1cAC\nQKojBSNTikzLCciOkee8ED5+78yNFYKqZNEaSgii1CEPov8wKq0Yfz7zUXV5d2xabCbPRoOgLKPT\n3T+OJ7GKTzZW4v11FfjrW1up7Zv21mHZV4fxwrLd8PrMkRSyfwpGmIySyaHJxOqkXgDA1mW72J+Q\nREl1ZlEkBN0JEomCGBV5BbSVIRXEWeO6SpDrTxaWHVzBbAndi1vGXYt4a5zaJzd7WvDf3W9GvfIV\nJPrp6o4a1BFykGhxSkRghw0bhs2bN2PIkCEYMWIEtm7diquuugperxft7e2RDzAAGCSwIYiCiCtG\nLoAMGeurN6odQUFifoRvxjZEQcTdU3+MoByEKIjo8HWitrMeRcnGUgQ2iSsa2CgNbPcmAEakmZIQ\n9NIEg63XzUoIrDEuIRhEGFbJirun3I4tdTswLad0oJvTY/zzfzuwaV89HrphKgpzkiJ/4STE7sPh\nSJ4/EISly++zviXs0drQ6saQdL5kigQv6UkP3x15Cf698xVMyhxPJ4/G2Bhmk2zw+109isB2B6Io\ncss7K+TTyIZya/1OHGmtVJ2AFMIpCAIEQUCKPRm1rjDprO6ooSK2kUD62bZ4W/HI+ifwxOxHqNU9\nszglCOwtt9yC++67D36/HxdccAEuvfRSCIKArVu3YurUqQPdPC7kXrSaMItYJLAKrhx5Ma4ceTGO\ntFZChhxR73kiQBRE9Zon2hJM6QF5UVSzoOUH3bvXpBY7wUZ3OEaVuLqLJg9d0Yz1BSbNz4ODEdiY\nR6ojJeIqw4mCjXtDHqWLV+zDQ9dHt4x6siDpGFzNAAAgAElEQVQYDL9z7S4fUhJCfUycI9wX1DW7\nTBFYexSrKVOzJyEvIQfpznRsr9+lbu/tJKmewibZ0Ol3qaWw+5NgOy1aAqustOm5+1gECX45gGWH\nVuD2STcDCC/5C13RY1bPf7ClIioC6wloK2VWtR/TFMoxg9hlLL2Iyy67DP/5z38wYsQIFBUV4bnn\nnkN9fT2mTJmCxx57bKCbx8VARGB705+tr1CQlI9hPbAUO9HB08Ca/27PM/bzEobg/GHn4LyCszEs\nkb4PrN9iX0Dj8RiD2frdRXfK7Q5i4OEPnLqR/wBBYNs6w3IKnz98Teqa+RWzWFC+2iaKkuTEZ8Mq\nWugCKjGQG0FC+U1KBLYviwWxYIvlkP2LXrBqZu4MAMCepv3qJEJZ2VKql9V01FLfOdhyOKp2KZ6y\nJLq7Injy9P4RQEZaZ82ahVmzZg1gayJjIAjsIGIfJIE1Kv3H/254gDCqex0JC0acz91ORj+kPiKW\nrAZWEASMSi1GRetRfKeQX23vRIFFlAyr4QwiNkGSuFMNZKnkdleYwLo84ee4voWuAqUHcnKa7jSv\n+SQnsbG2iqj8JuW97s8ILFsI4v5pd0X8TmHyUKyuCo0PLr+bSjZWCPDsvDPw6dHV6vaoCazfo9n2\n1r53cWXJxRiZUhTVsU5aArtw4ULDzwVBgCzLEAQBr7/+ej+1yjxO3S5xEEYgNbD+KDM4aQLb+9ng\nfaFFm5w5Hlvqdqh/sy4EAPDTyT+AL+iPmMUc65AEC3wYJLAnGnqa1f71rhocqm7FlWePUDWkJwrI\nSKvPH+5T3N7wv0k9rBHI/mNq9kTTbYjlVRg2ktyfBJscK84vPFd1cFBwcdH52Fy7DVlxmfi2NpSE\nlxMXthlr9bYx3uGCeqwkeyLiLE68smcJ6l0NaPW2mbb6VKLRJCrbj+Gvm/6JZ855wvwPxElMYMvK\nzOmsYnXZPCgIcEgO3Dju6j49jwAh6uXkL7ZU4fNNVfjRxeOQmxFZ2zSI3gMVgY0yWmfrpQisHrLj\nMnv9+NeOvhKN7mYcaQvZ3bESAiA0KJzo5BUAbhl/LZ7Z+gJmDpk2IOfvdPsQ5+jfTO2TAT2VEPzr\nvZArTlqSHfOmaZ1JYhlegsB6/UEEZRnBoAy3N/z+d7rN9wU/nnQzjrUfx6yupWwzoBNGYyv0w/ZX\nYj/yDVJCwOsfv1N4Dr5TeA7e2PuOui2L6MPbvO3IcIYLJChcKc7qxNyCs+ANePHa3qUIykEcbDmM\nyZnjdduS6UxHnasBAHrVSu+kJbB33HEHd7vP54PFYolZ4qpgdPpI3Dzjh30+YxMFMaoaywDw0vK9\nAIDn39+JR26a3hfNGoQOyI4o2uXmnsgPzGBEciGm55SivOUgJmfpd2bRIM4ah7kFZ+HfO18BEKrF\nfbJibPooPF72sKYSTn9gzbZjePHDPbhqTjHOnxE9iep0+9HQ6sbQLH4i4uuflsPl8ePGC0bHfN8b\nLXpLQnC0NjYdcYxAWmR5vAH8/qWNaG73YPiQsCsDKSeIhHHpo6MuL0xq72MtkZMljv3pX+6USAKr\n7zpwWnYpVld9FfqOxQGH5IA74Eart41KpmP1uzbJhvyEXBxpq8ShCAS2rxxiTqz1ih7g1Vdfxbx5\n8zB58mQcPXoUv/71r/GXv/wldr0jiQz1Pj1NDwaTmkZz2qZB9B4cvRaB7X0JgSAIuGn8NfjngseQ\nbO89WyFygpURhTbuRESiLWFACN6LH+4BALz5ebjk46HqVqz85qipCOMTr23Cb/69AdsONGg+q2nq\nxIpvjmLNtmpsP9jY7Tbur2rBk69txv5Kc3XY+wuBHkRgySz+4AmopSUJ7JGadlQcb0Nzuxeby8M2\nS51RENjugJQQxFoxE20EdmAkBEYrVCNSCnHP1J/g9zMfBAAkdbnh7KjfTfnxipwkU8X28WBLhWFb\nAiYJbLR87JQgsC+//DKee+453HLLLWr09YwzzsAbb7yBp59+eqCbx4Uo9s8gFm3mc8wS/lMEZGcd\nbRSVzNbtCwkBEPYK7E2UpI5Q/50fhV3LIHqG3720Ea99Wo4vthyLuO+RmlD0cMmq/ZrPvL7w4NXa\nqbXQMYs//vdb7D7chD8u/rbbx+gL+HuggSWjtydi10pKCFo6tMk5gPkIrCzLWLPtGHZVRDfJoQhs\njF1EbQR2oCQExqWshycPU60pFS3rhppN2N2wV92H168XJRcCAI60VmpWBD0BL745vhmbareZrrgV\n7ariKUFgX331Vfz2t7/FwoULIUmhQfzCCy/EE088gXfeeSfCtwcI/TRTi5ZsbD8YjrCcZCuBJwTI\n+xUtCSW/G2uRCiOk2JPx6xm/wKMzH9B4EA6i99HQ4sbTS8KVlf635iAaTCbi8BJ2yLn4iRhljITu\nSgg63T5sPRCOVPbX8nd5ZTN+++I32FLe/QpIQIgseogIbHO7HoE1R162H2zEix/uwZ9f3xKVrpjU\nwMZav8YmnfanhIAkz9HkCMQRBQUW73lL/bfAoYtKBNYvB3C0rYr67PU9S/GfXa/hhR2L0eYzJ4/h\nJXgZ4ZQgsNXV1Rg5cqRme35+Ppqa+DWBBxxiP1XsiOIRcHn8+Otb2/qwNYOIBn0VRY1F5MRnx5T+\nVZZlbCmvx9Gatsg7xzgaW+lBY9EHu7B1f3ii2uH24+5/rDV1LLc3gEXv76S2kZTi5CSw3ZMQ/Pn1\nLXj2nbDDRn8FDx9fvAmHa9rwlze3Rt7ZAP6ATLVZb5LjDwQptwI9HKpuVf/t8wfR7vKZIvWkBjbW\nIrCshKA/bbRIT9xIEVgS5LjiIgglL3qc6khBqj0UuT3E2GnVuaKfICklw83ilCCwo0ePxsqVKzXb\n33jjDYwdO3YAWhQZYn8R2CjCqB1RZJPGGl7+eC8eeXEDqupOvEQJPRSnDB/oJvQpZFnG8+/txL/e\n2xlzyRnbDzbgL29uxY+f+Kxb35dlGa+s3IdXP9k3oINufYsb9zy7jtp2oIqvMTUbafxqZw31NxlN\nq27oOCmM/0ki3l0JQcVxevLTX+S+t85C2mYBQGMbPwILmJMRkGPRvqPNuOtva/B/7+8y+EYIVAQ2\nxvqJgZQQkCtu0URgvUG+zEevCIOeDrY7ARZ3QP8Z4uGUILD3338/nn32Wdx6663wer34+9//jiuu\nuAJvvvkm7r333oFuHh8xICHwB4LUEhEbaejPl7EnaGrzYNXmKhypacevX9hg2lg7VnFX6a2Yk1+G\ny4vnD3RT+hTH6juwflcNvt5Vg237tclBA4lN+8LRhe4MmoeqW/Hpt5X4ZGOlhsj0J77ZU6PZpudF\n6vb4TZMs8pqQBG/lxkr8/e3tUbYyOvgDQcpUX0G7y4clqw6g4ngr51vm8eKHu3Hn02t6dAweYm2S\nxkOH24cnX9uMZV9VwOOjxwOj5psisITW5J/v7oQsA+t3aZ9PFoNJXHyI3SSwU7L4Hry8JC4gpJ8F\ngG31u/BFZXilhmeXNTFjnOG5W73R9YWnBIEtLS3F8uXLMXbsWJxzzjno6OjArFmzsHz5cqpCV0yh\nn5K49GoYB4MyfvPvDbj32XXodIcGg8++pTUurigGtIEEu0S6aV/dALWkd1CSOgJXllxMaZVORpBE\nqqo+tiLn5OtpJjLJklySYHVwyFZ/gTcJ1Vv8qW3qxN3/WIsnXt0UkWyRUVY2S5/U0Xu8AZRXNvdq\nP/KnVzfhzqfXoKaxk9q+eMVefLj+MB79z8YeHX/Ntuo+yaw/AfgrVmw4it2Hm/D2FwcpB4JIMHO9\nJOKl8kRx7FgmsANpo2WmdCwPZbmn4+pRlyHLmUEfTydgNSNnCrLiMhGUg3hr33to93YA4CdkleUZ\n+/vuaSw33U7gFCGwd911F1pbW3HXXXfhb3/7G5555hncfffdyM7OHuim6ULoJwnB9WMWYlz6aNw8\n7lpqe2ObG9UNnWh3+bBux3EAwMqNR6l9ZPS9RUpvoIEhsE77SWt/bBqWGKsZHgm1TTEWNSc680j6\nvhc/3I1fPLOWmkiRpHcgS5FKnImyXtLNl1uq0NTmwZ4jzThCaH95EWgyO91oif2vS7biscWb8PGG\nI9E02xAHqkIR1vfXVVDbSYsvnz+AD9ZVYPXWyA4L/YVYI18K6ltc2Li3FsGgDBdRoKBJJ2mLB3MR\nWP3P2l0+XZ9ckpzF2iRgIAsZTMsphU2yId2RhhR7sunvSaKE2Xln4LxhZ1Pb9RyL4qxxuHfqTyEK\nImTIKG8+CACq80CyLWypKAqioc/1ESYRLBJOCQK7fv16WCwnFmnR05v0NlIdKfjxpJsxNXsStZ2M\nfhnNhgcyemQGLo8fTYw2i0c4ZFnGklX7seKbo5rPTibcNvFGFCTm42dTbhvopkQEGeWra44tAkvy\nvkgEds22ajS3e7HkiwM4Vt+Bd788RBHygdSWR2PXRy4Z7zwUtjriRWN9FIHVvz57jzQDAN5adcB0\nOwBzsg2WNNms4Unbwy9swNLVB/HS8j1RVYrqSyTF9U81uWhJ1C+f+wrPvrMDn22qpNoYzaQyWg0s\nCVmW8djib/Gbf2/Asq8qDJ+n5vbostj7GloXgv6jXAm2ePxh5oN4aMbdkMToAxZj0kqov42emzir\nE4VJoQIo+5pCVnqKBpZ0jpEEUbXr4qGuM7rErxOL1XUTN954Ix588EHccMMNGDp0KOx2OiNv+PDY\nSoYJCgOvLyWX9AwJrHvgCWy7y4fN5XUoHZmJBGe4FOYnG4/i1U/KkZJAdyK8AWvPkSZ8uD4UBZpa\nkon0ZIdmn5MBEzLGYkJGbCYuGsFsPfX+AmVnZjIpqa3Th4f+72vNdp5es7/Ai8Dq4d3VYZL59hcH\ncdbkPCQ4reAl4fv8QXh9ATS0uvHfFXu5n7/9RXSkVRIFNVrt8wcpQsqD20v3W3Zi/5ou8iXLIXIV\n5zA3FPZlklB/ReJtVlG9NmwilhE+21SF70wfqv5dUW1eS+zyRj6P3rPY0OpBdUNIDvL2FwfR0uHF\n9+aW6OwbW/2ETaJLM0v9vPLVE5lZqiMFOXFZON5ZCyByUK0kdQQOtlRgb1PovVZ8ykkZhShISLOn\naCy3FLT52uHyu+G0mBt/TwkCqxQr2LhRq30SBAG7d+/u7yYZQkb0BQZ6G2Rf6uF0PgJC7Wx30WQw\nKMuoaexETlpcv1UU+tuSbdhf1YL1w2pw7zWl6vZXPwnpaZrb6axKHukmSW19i/ukJbAnEkiuEGuZ\n6+Sj7TPZNjJqSWIgJ4E9KZjy7peHcO15JVz9akuHF797aaMuOf/o68NRrXY0tLgpgufxBSISWHbi\n7bDx91f2q29xIzPV+L3vS5Kp94y/9kk5yiubcc/VkxHnsHL3iQY2q6QS2Giiz8cbO6k+vTyKimgu\nE+fRexZ3H6bfm082VuoSWAixpSFgNbADPa5HizFpJSqB1UviUjAqdQSWV3yKms5atHha1QgsWT1S\nEkSMTR+NrfU79Q6Dw61HMTpNa3vKwylBYD/55JOBbkJUkIWelXjtDQSJsAqbbQoAcQ4LOtx+jYTg\njU/3Y+XGo7hsdhEWzCrs62YCCJWYBIDdh8OevkaREl6nnUgsjfWkWtAgeg96meyxAHIgMpIQmMks\nH0gZTk8CivuOhpb/eb9xzdZjhpHlHVGUlG3p8OLe52irL7c3gMSu4JIsy2p/ST4zbATWZuVHkLxd\netilqw/iwjOG4fYrJ+u2xYyfaXehJ21Scg+WbziCy88codknWtgs4evQ6fbDbhBYY4MXpJSnqr7D\n9DnNSAj0IrC7Ksx7tQdaMiLv1I8YSB/Y3sCY9BJ8XvklgMgR2OFJw2ARLfAH/djXtF8tV05HYEXM\nzJ2G8uaD2FizmXucnQ17TBPYE+tqdhP5+fmG/8UaZKF/tTI8kJGGTrcPz79Hz5iUpXo2eqR0tu+s\nOdjHLdRHW6fXMLmMR2DJ2X9rhxedbh9qmjo1+w2i/3CiRGD9BqQmYIJ4R5IQfLT+MN7+4kCfLF/3\nJKIY3xUN5B0jUhZ5NJNEXuRaIVaVde34+T/W4p3Vof6GbInbS7/nDis/XuPxBrC06/sffnWYu8++\no814YdnuXksmZB0SAGBzeT0+21Sp/t3Y6sYSQhtstqJVJJCR606P8bO3eCUt//h2r9bBRW9iQMJM\nsq9e0MZMadm0mjnwVY6E/9iImLIj0yRxdUOLOpAoSS1GSeoIlKSOQJqBdhUArJJV9YTd3ViuJiXa\nqQisBFEQ8f0x39XlOJtrtyMom+vvT4kI7IkGWRAGfKnhtU/CdhYbOZ1WvNMKNLkGVL/Hw54jTXjy\n1c0YPUy/ahMvaYYkB22dXvz8H2vh8wfxyE3TUJCd2CdtHYQxaDISQFObB6mJsVFKVqQ0sPoDppkq\nTUZJXI2tbjXBaXRBKsYNT4uilcZYsuoAPlzPJ2xmoExeeRKCDbtrDb/bZkBg91e2YO2OanS6/bh4\nViH+7wOtmb0SXX3xwz1o7fDi/XUVuOzMIuqhcXvMRWBbOiKT6cdf2QRAv8hDUJZN5y3sPtyEJ1/j\nR58Wr9iH6WOykeC04l/v7aSW6S1S74wJbAQ21alPA9ZuP079zXNwGVuYFrEsrZkIrN4Era0z8hjj\n8GXCfyzUN/j8QUrvPJCws0lcJ5iEwCpacFfprab3L0ktxr6mA9jVGJ74kElcyiTFKlrw2Kxfwxf0\n4aF1f6SO0eRpRkXrERQlF0Y83ykRgT3REAsSgh06ej0FSvQl1qpzPf/eTsig5QQseFEHsu9s6fCq\ny3mxZLNzqoEd0H61aP0AtYQDAw2s1xfA4hV7sWF3jakIp5GEgIw8H+dE7XqCnpBXIBw57k7ESy+a\nGAgG8dSbW/DFlmP4Zk8tfv3CBu5+bl+o32GTkMi2KFHgwzVtqG9xa0iNQuRaTRBYBXr3wCgKr0Ah\n7R8w9l4sfva3L1FV167RmOoVmIgG+ytbqMIZnVHqr60WbRuGGUzwFd2xGQLbE3kxOV5G40/b1xjI\nQgYDgZKUkMSlzRu2PCM1sAEisppgi6ccCXLjc5AdlwkA2NmgTfzkYTACG2MIWERUZ1gGPAIbCQld\ns/ZYs9EyY4jOkxCQYzBruzWIgQF7J93eADrd5jPG+wusdnHZV4fx2aYqfLapCn+9oyzi941WMcza\n2fUn4uwWdHr8YQLbi4lNPn9Qo13lQZEQ8AiVgkBQxpGaNvz2xW/gtEsYPzyd+txmleD1ByNGYM1I\nN7wGrghHatrwyIvfAAAuLRsOu04ymYKgLOPtL7QSrJ4S2JZ2D/64+FtqW7QWYjzXgqxUp+7+CU4r\n3N6AKfmDWYkMLwpMesh6fEHEypqZVQyN5cpy+slOYIcl5cMm2eANhN8pUgMbMCgvK0NGhjMNNZ11\ncPvNuUmc3FfzBMS6W2fi3bOTBzwCGwnxXRrYWJMQmIp4cTvt8PcGCWxsgDegHThmPvO5J+d9/r2d\n+Pey3bqDKknayChpp9tPGeib0e4arWKQj/OSVQfQEoV5fF8ho8uhw+cPlZruTc2hWTLsVgksTQbZ\n+6UQR5cngG/20LIGe5ekgHUpeeOTfdTfZqKHRsldT7walgv878tDEZfbAWDLfu0+PSWwdc1aUhAt\ngfVyEnodBsv1Sq6Ey2siAmvy3vNkObEagRUEgYrCnuwE1iJaUJxM25LmxIcLRhkVMZBlWa1UFjCp\ngT25r+YJCL9NAgZIAyvLMj5YV4G126sN9/v+vBIkOPhJXAMNM5IGt8evGXTJvpMtPTuI/kNLh1eN\niPF40f4orHu6i31Hm7F+Vw2+3F6NiuNteO2TffjrW1vp8qjEA0OSFyUzX4GZ59Hl8etqZVlC9tqn\n0ZVa7AuQFnMdLl+vWkuZPZZCYEk9pz8QjMpVQYmYspOCxR/txspvjqrSApbg8mA0UemtaoXRePay\nOKbjGPDPpdvw9FtbTUc/easAVoMkLoXAmiHKZh8jry8IfyCIumaX+t6Q+uNYWalQQHrBnuwEFgj5\nwZIYnjwMVxQvwFUllyIzTt8lQoasVog0itSSOPmv5gmGgVxq2LSvDktXH8QLy4x9caePyVYjsB2u\ngdXARpOZfeak3NB3wIuqhI8Ta7rekxXsvWvr9OLB59fjV8+vh8cb4JKRg1GYp3cX5BJ2XbMLKzdW\nYtuBBqzfGU5oIQkLSWDZRKE128xpqPUGeHai1VsVyXriaJCcENa0tbt8vSYhkGXZNIFVSAopIfD6\noiSwXdFbnoRg8Yp9+MfS7aHjmjD770t7LQVmEgJ52Lq/Hg/939ca+YCCTfvqdQkuC15002bRj8AO\nSQ9F3I43dkY8R6Tn6IcLwgVY3vp8P+77Z6hCGEC7gvCixAMJcgn9RLPR6g5YAmsVLDinYDbOyp9p\n+D0ZUCuGDUZgT1Ao9hEDEYHdr5Nhy8IiCYjv0iEOtITAzPKeArKKDEsYYsh55ZTAm5/vxy+eWUvZ\nCX2x5RhcHj86PX7UNru4JIu1RuoLkJZq5HNCElvSHosksyzh/GRjJcxA7z1iLwG7ZN5d9CRqGkdo\nEDvcvUdg/QHZ9LF4GlivP6AGAMxAmWzoyTKU/tCMBzFJYLcfbMBz/9vR6ys53fVCfvfLQxH38Zok\n4Lz9jKQNk0emIz0pNOH5YovxZC6SFCUrxanKV1Z2vVebOXKMmIvAiqeOhAAAhibmUZW0LCatw2Q5\nqFYq8w9GYPsezz77LObMmYNp06bh+uuvR3l5eHlv3bp1mD9/PkpLS3HttdeioqLC1DGVQXsgSsma\njaZaJDG8NOTx6w46vZncoQczy3sAkJJgU50TgEECaxaHj7dhyar9vT5RWf71ETS3e/Gf5XvUbeQE\nyusLcKnIgarWPtcok+8eOUEiyZKfiIZRBLabz7zeu8eS+H1Hm3Gkpo27bzToScRQEMJlWdtd/h5l\nj5Pw+AJRSAhC14sk9F4fP2qvB0VC0Npl0zQkPY67TG9Gx0xez7+8uRXf7KnF8+9r7b96gr70Ql6y\n6gB+tWh9RNLNq8ooGrAIqyRhXFfyXH2L8epBJAIrCALGcOwRl6zaTxU7ONgPOvlowBr5n+wQBRHF\nKUXq3xbROOlWIbtzhpapZHcwAtvHWLp0Kd577z3897//xfr16/H/2Tvz+DiKM+//unsOjW7J8m3J\ntmT5lm9j4wMMGMLhcN+QiyTLDcmGwObNvtkkkIs3bJYNATZsNks2WZIsLEcgEAgQQjCHOW1jbLDl\n+5Zky5Y09/T7x6h6qqurjxnNSCPp+X4+fLBmerqrr6pfPfUcJ554Iq69Np0vra2tDTfffDNuu+02\nrFu3DsuWLcNNN93kab/MgjAQFtguj/6smqoYLgSAvR9sf8yEveRwBNIDLR+9Lra5kDXOBxPidfjO\nf67DH9/Yhf9wcSvJFeZnmNJ1U47NcCxhe0++9rPXCnq/dJM7SeY54S1NKRsf2Fwtm3bvkEwQs8Ck\nvtAXMZRK6UYWkny6EERj2QhYqw9sNi4EZy9tMP0WSFuWZXmGvaTIkrkZiP7QfSXXe+blmny08wj2\nt/eY8n9L9yX5zMnYkkilDIu9W3YJt3YqCqQC9o9v7DL9/dRrO7B5l/fqXYXGP8wELABMq5li/NtN\nwH5r6ddx49wvYuX4Ew0LbFL3ph2Gx9UsAEePHsX111+PCRMmQNM0fOYzn8G+fftw4MABPP/885g5\ncyZWrVoFn8+H66+/HocOHcKGDRtc98tmoaqqQtOUfv3Pq1XG51NRUZYRsJFYMrMflU/wnrI9Flum\nVdW+tdkpITpPIplCMKAZy4amNmsKFJsACUXp+3XN17kW+r9YIolvPvQmfvrYeuMzxvtb2/J6rox4\nIv2M7DncZfI9jsVTtrXRZfcvn//xliA+iXrAr0q3SSR1y3lly7Z9nTjcGba0xe65zOc5ZsuCaSNR\n3lt6+WBHD/I1105k4eMZ631ueJ/jRCrlaA1kLJk5GpeeOgUlQjqm0hIfqgUBG4klkPRwrSLxpPQZ\n6MszwfD3TpxSKT2ne53N/TnSFZW+p05UlmcE2plLGkzfhaMZw0EklvDUJwDAQ3essohVn6ZgVqO3\nQh53//d7iHL3ZCD74BJf5vr4NK3gxyuG8WbBmBaU+kKYWtMEv8/5nGtClWgZNR1+nwa/ln5WUnrS\n0/NXXAkVi4xkMonubqvjuaqquOaaa0yfvfTSS6ipqcHo0aOxfft2NDU1mbavr69Ha2srWlpaHI/J\nfGDLSoOorS3Pw1l4R/OYpqW2thyBUKajVwM+o60Bv2YsuwY9nEN1tX1aDS/EsxiHa2vLUVEaQHtn\nBIqmmdpWflAeYBAM+vN2H/p6roXmqb9uw4GOHhzo6IEW8JuCdQBkdR28nmsipaO2thwf7TYHZ6l+\nDeXlJTa/AkLlJaitts8/2RdKSjJt6eGsRiHueda4pWufP/MshUpzW758eu1OPL12J37znTNRyV33\nzojcEsHfi4ef2YTWvZ34P184wXMFokgOxrz7bz8V7Z0RzJs6Es+8sQs7DxzH8+t2o6Iic59amuqw\nYZvVL/ELa2YiGk/iv/9kn6A8GAp4ThXVfiyK+5/8EK2c1T4YCqC6xv25a6qvxogRFSgvMyeZr6oo\nQYWumzJdfLD9iEXUSlFV6fvR13f+gpObsL+9G29sPADN78upL9K8qPpedGT3ngNA86Q6fOm82ejq\niWHxzDF47s2MRXTFgnr8+a3037GE7rjvYK+LV3N9NcaMqjImSYyq6lI0jq/GuLoyT0FnL7+/D1ef\nNcOUYmsg+uCKUKnx78qK0n4b1wdyvKlFOf79/LuhKirULJ6/stJ0X/Jh+xZsOLYRM8tmOW5PAtaB\nN9980yJUAWD8+PF48cUXjb/feustfPvb38add94JRVEQDodRXm5+SEOhECIRd6d+tjQaicTR0dHl\nsnV+8Zo/r6OjCyldh6Kkl332HTiGURXpzsbvUxHudVE8eOgYQjbjqaoqqK4uw9Gj3X1agtx3yLs/\nYEdHl1EZ5lB7l+n6Hjsm98+KRGJ9vqPfl1kAACAASURBVA/5OtdC09Wd8S093HYcyZh5Wbu9/bhr\nfuJszzUaS6CjowtHO80Vjto6ulHmkJ7n0OFj0FKFcVE5wrXlQHtmoOzsDBvPQoRb8j/eHTU+t3uO\n7Jg0psJUGentD/djXnMm1cyRI/KBuq3tOFRVQTKVwqMvpZd9f/enj7Bm2SRPx21rd36mrzl7Opa1\njMWXfvSy8Vn96ApUBFV0dHQhyC2/P/ZSZtlZVeT3PBqN41MnNDgK2MNtmffTja17jmKrEB/X1t6N\nqhL330d7+9YeYfVGgQ6f8Hy3H+kBktbnrKLUb7LOP7d2BxZPrbM88zt2O1c0BICbLmwxMh6IrF44\nHg8/m/YT7+6J5tQXJSTttyMSTWR9jI6OLqycnc71uedQ5reTxlQg0hNFqvf4XWHnvrS7t/9JJVPo\n6OiCIjgsHD8WRkfIh9rKoCcB+/sXP0HbkR587qzpA9sHJzLvSri77+OJG4NlvJERj2Zm1q+2rsPM\nFhKwObNs2TJs3rzZcZsnn3wS3/nOd/Ctb30L55xzDgC5WA2HwygtLZXtwgTzv9N1xRTp3B+kPC7h\nsXaVlfjRFY7jeE/c+Iz3K3t782HUj3KuiZJK6X06z6NZBPQkk7rhj9UVjpuOa9cGXbf/Llv6eq6F\nxpRLMZa0tPXIsajFKmuH13ONxVNIJnWL+0pPOOEYdR2OWtuXL/iJ3N7D3abP2TH5Y8d7zwHIPjiq\nqtxsZerqiQsZDuTnGIkmEQxopgpHBzvCnq9JLCZv5+mL6nHZqVNs3TfYfS2VVEMCzNa+koBm+D0q\ncO/PeiKJPuU6jUieWcbU+ip8vDttWVWUdFvEdEttRyMYV2e2WqWLNVivVWVpwCRgt+7tRCKRwvpt\n7abtOjz0T7LKUgZ6Jv9rPJHK6ZnPxlskl2Pw2/MW9JKAhmRSNwodhKMJx32z79j9Eaus6an0NjUe\n+yAAeOndvbj6jGnG3wPRB/vVjLtdf47rxT7eyFA5r1Yvzy35wPaB+++/Hz/4wQ/wwAMP4Pzzzzc+\nb2xsxPbtmdQlyWQSu3btwpQpU2S7MWH4wA5IIQPz31eubsaKlrG225dLqnHxHdgf1u4oeFEAr1kI\nGCwTgTULweB60QsBP2DIhNiBjvzkIOVhQTti8E66co/9PSlktR27oB1eTNoVMsjWt7ScC4YEZMGF\n8t+xoCE+rZGYYuydLYdsg1n4Np+xOJNebuakGpN4vfqMqVAVBV9aM8Ox3QxegPLCjO3zhvNno6os\ngBsvmG35rZiFwKs1lv+9ncGpqiwjelgbxcArVVVQP8q8chZPpKTBUxXC8jaQnozd++h64TP359RJ\ns/s0xehTcxUj2TyTfc10wPch7KjsOYjFU465bDPxH+m/RSsrm1/XVtq7FhUjwy0PbF9gQVyANw1E\nVzNHHnvsMTz88MN45JFHsGTJEtN3p59+OjZu3IgXXngBsVgMDzzwAMaMGYMZM2bY7C2DzvLADkAa\nLdHaU1rixwUnNUojcwEYuWD5QVfsLNsLLGDd9t/S6/TPBqZSSZsBe6mUzzKZTmSTz7atM4LXNx7A\ns2/szOp3bvCTj5hk4D54pEf8Sd5ICscKR51TIhUyWXncRijwQUbmIC7nNFqjHWrF86ndAGsRDbvn\nj50/X5uej/Ju3XcMP3t8I+7+7/ekz0ica/OcphHGv8VtT10wAT/7+5OwsrcIiNFuDwKWz/rBPl40\nfRT++ablWDhtFCpLzfuIxZOm68cLYC9itqsnbqv4K8v4SPCMRZPn4lVNOGneWJx14iTjs4MdPfj1\n8+bSsun9Wc9fVi7VS5YUp9gDTVWNdF85V/TKogvra1U1vqgBMwqUBDL3kV8xEBFTSE4cU2n6no2J\nds/C5LGV0s8HmuFUSravaHzOWA8aiK5mjjz00EPo7u7GRRddhAULFhj/tba2oq6uDvfffz/uu+8+\nLF26FG+88Qbuu+8+T/tlL/FApNGKCxYJTVVQUxHEj2+QV9DIVOPiBKzQAf7g1+8aqZL6Sltn2JSa\nK5lKob3TWcD+3bmz8JkzpuIrl8wFkBlUxYHazgLbH0swz7y+Azf9y1/x5qaDrtsmkinc/sBaPPT0\nJvzPX7ZZkpRH40k88MRGPL9ud9bt8HFRn/FEyjLA80UHgNxznsqutTh5iiXcBGx+LbBtnWFs2tEB\nXddtrVD8s8Cfe8wljZZTEJBVwHpL72ZYYDkhzz/TfC5MWYoudm8VANMbatAwqhxBv4ap9dWWbWWB\nYTILrKoopjGHdzPghS0TIl+/Yj4WTRtpfB6Np0zXjxfAXgTs0a6orQWWn0QwISgGjE0cXQFNVXHD\nxXMxb0raD/mdjw/L91drdQeTTRQ6PawQNY6txOSxclcrVVWMtu893JXTSpHsF9/8zELptn01nPBZ\nIVhTQ8HMvXMqRMLmh6wNpy+aILQt/f+xI+SueNXlVqs4APz+pa2ObS40JGC9w1tgvWggupo58txz\nz2Hjxo149913Tf81NqYT+C5ZsgRPPvkk3n33Xfz617/GxIkTPe03NYClZMUqK0zQ2HVqMhcCWQfr\npRKMG637juH2B17HD/4rUw7xWLd7HfayEj9OWTDBsCIzwSBauuz2Uojk4d2RODa2tiOZSmHr3k48\n9kordB34t6c+dP2tKNze3nLI9PeL7+zBus2H8NsXP8l6sDNZYONJy7F4a/eug8dx872vuuaNlCGz\nKor3MZ3T07792eYYbuuMON7L2x94HT/+7ftYv63dwYVALlTf3HQQyVQKh470SEW9U2aAspDZ/9Fr\ngQ32rv6ce2ZkSebt9sHOxedToaoK/vFzi3DPjcs9L88GJQF2qpopCgDAtHIji0QeP7IcN1zQYqyO\nRIQ8sKEAL2DdwzUOHukxlfvlaRpfhcXTR8GnqVg4NS2aLzvV3qXLreLbGYvrMb2hBktnjeZ+k0SD\n4ILwmxes1lue71xzQvr6f3YR/v2OU3DFac2WbRrHVQFIu0ttaG23fO+G7D2aZCeY+2g34Scq7LBe\nLbBshYNZYEuFyR37fHbjCMyaZE2nZedL/Nxbu6Sf9xdBvhIXSS5HTC4EHiZTFMRVZPS1lGxK13G8\nO+Y52IZHtLi5pV/JuBBkOnuZnsxH/fYnXm0FAOzioly91CgXYRYCUZzZCYVC1Dj/ye8/QOu+Y7h4\nVRP+lHXnan4uRAveUa4sZiKZyqr0KD/QxRIpy4SGX6L+zQsfIxxN4IW3d+OK1dZB1wmZyBN946I2\nlbj49nnlg61tuPfR9Vg0bSRuuMA5jd3ajQcwymbJP2FjgQWAB5/4EO98fFi6jOkkYMVOWrSW2rsQ\npO8F/z7YJYqXWasNAds7afFpqucUVgAsATZAur8YyaU2q6sKcd/Z92fs+vAuBJqqmKyusuOJfLC1\nHR9slQs8v0/FdefNQoILDho7wj7NUNgl6X5JQMPtV85HIpnCGx+mV07C0YTJNcONhlHlhnhXlHSP\nP2NSJvfppDFpkTlpbAUCfhWxeAr/+exm/PNNKzwfww67vj1bNwXxrvLGDhaQzFvi7Vye/vrBPqPs\nMsv/6RPygLJdq4qC81ZMxoc7zBkesnl++xOTBTaLlFLDEb7sLFlgByGGC4Fk9vHEq6147JVtjr9/\n+NnN+Op9r+GDrdZcjGz/z725C4+/2mqZmYsDndiBiHhxIQDgmJDeK1I/Pk7EeBnggExScHHJ2n6p\nNv8CtnVfOs/oo3/ZZopk9oJY6120OvBiya3yjQh/66LxpMXKyT8ffXENllnNRVeNdFnQ/ARxsRWA\nt7ccdnV7SKWsGREYdhZYILPUvH2/OZ8tkClZKkPcj1hS1va5jKcsFlfeasj3H7JnmJ2j1/dGpFoy\nQR5ZXYJzl0/CkpmjcfNFLaaMJE59AHtmO7tjxvVQVcX0LPPvv1hBywsBnwpFUTyfr1uPxSYePk01\n2hOOJjxPeK86fSq+dvk8y+d8+4xroSho7J0Y5TKhzuZdjcVTeIdb1WETj1MXjJf/wOlC9R434FcN\n8Wln2f7PZzPZftgxfYLY459pWZJ7p3tbyDK8blAQl3d4C6wX6GoWGXY+sHsOdeGp13bgmdd3GgJI\nxqvr9wOAJRqWsaG1Hb9/eSv+8NoO02CbSumW5Uu3ShjM+ufmQpCtkJLBWwaYVYrvzEd6TGqvGQLW\n3KHZW2ALXw7XK+9+fBhP/W2H6TPRstUXAcvfu3giZQmU4gUt75+Y7XK+GIic0nVLFaaoS117WWoj\nO3iL6r525/yRSY8CNhv/X9lyO2PJzNGmv7PJQnA8bPav7I4kpBZb2fmwc/HnWCmqYXQFzl5qdouq\nH1WO6vIgrj13FuY3j4SfO28nCyxbFfnrB/uwszcnrqYqCHIWWL5vahjtnJpPRjYrEYB7MBMvplhF\nr39/+iO0ufjkM5bMHC3NZMC/v/x7tXpROlNEIVaERH72+Ebj3+x5GiPx+QUgzVLDfFE/1VuVS1EU\nwx3EyYWAwZ4VcfzhbTri83ThSY2OAraQQZ9u8BZYhSSXI3wQl+JB7NPVLDIyPrDmF/Q4JxI7u7zn\nPhXhO9h97ZmgnJ5owrJkyy8ztTSmI5VHVGYsL8wH1s2FwM43jyeeSGHXweO2FifeAsMi1vnOvK7K\nm+8esyp7nZHn2wKba1aDnkgC9/3vBrzwtjk4SzwPPogi2wwFpsCkeNIi3nnRyAvYo1k+j+I1kOWc\ndatrn437yOiazOArm/zx7XEWsPI0WjJ4IeIUGFMe8htLxYAkC4HNcWLxlMV6n+QmoWZ3EOu1ylhg\nsxN2PBevajL5Ioo5n/mIdCd3Nt5V4A9rdwDoFbDcNZw8LuOa4fVdN7XFZhLxf65eiOYJVfj6FWZr\naDYWu1Bv+3nB6RZ0ZifoKzlRy79XTJzFEs6+4TLE9+2as6d7/q3hxyqs9ExrqMaVq5ul7kN3fmkJ\n/vGziwxfYyATyOXmWwxkXAHEa8QbdUR3gXF1ZY6W+UKm3XMjQBZYz1AarUGOkwuBsY3HfYWjCRwX\nqs3wg/Bjf9lmdG68GwCDdyH48qdn4srVzfjG1ZnoVRaAEo4mDB9G2YDrxUL386c+xLd/uc7wg3La\nx+5evz9eaDilKuLx2bgQ2AnLfFs8RCu3V0R/Lwbfvr9+sA+/fTETcfv+J21ZDcRmFwJrAvcoN/jw\nfm3f+Lc38PHuo+77t8n5Kub/ZJ+J7hI82QxI/L3decBauY1/ZpOplK0fI++n62aB5Z/HFpf67XyQ\nS3c4bhIodoeJJ5LSd5Zl/OCvZ3tnxCJ64oYPbN/ce/h7JOZQnVpfjYBP7RXp9imOZD7CqqqYROfq\nhRNwzokT8ZVL5qC8VJ7Cywk7cTNlQhW+cfVCzJhovkfZZB+RBQ+5rQjZuVTwn/NWQ7792bzTW/d0\n4tCRTAzCgqkjsWLOOIdfZOCfmZAgyMfUlmL1onppcF1ZiR+N4yqlVmovPraaTfCwyQIrPLeaqjj6\nwBbCFcwrAa6QAWUhcMbkA0tptAYfRh5Y4dbwVkyvg/cdD76Orz+w1pTGis+32dkdw7qP0v5OXZLB\nkM9PWB7yY/WielOUMh9AxIQZEwt8ChQvs27mQ/jIi/Ko9ngi05ne9at3ej9Ln4umKjh1wQS0NI7A\nyjn2hRcAXsAKHZrdUq3Ha51IpvDYK9tsfY8ZsuvMcBr01kvqy7PjMng/MgB44m/bXTNAvL3lEO5/\nfAOOdcdMQi+eSFosd7ygFQft+5/YCCde27AfN/zzK3h94wGL+IvEkpb7EcujCwF/PNkAyn/v5APL\nf550sYKNqyvDF8+ZgWvPnYU5TXWO2/KWpmRKN7l+2FnbxJRTDDZh5cXPw89tweO9QZAMdi59DXxp\nO5pZ0REFbP2octx7y0rcc+My21zSgNxHWFPN/qrBgIaLTm7CnKY62yIKTmR7nuLz2DTeXoDLBOyE\nkc516LOtOMZbyrMRY3c/8p7p72wOy/cHolD1EiHOw1wIIp5cCOT3yuQDK2yjac7+zQNpgQ1SGi3P\nkA/sIIe5EIizDz5JtrjMCKQHJFEcdYXjiMVTeJ1LLSMOeh/tTFfqkS0Du3Wy/EDCjs06veb6alx3\nXrqOcT58YMVE90DGiuT3qRhdW4qvXjoXXzjbuViET2UuBHILrHjGboNFIpkOenj2jV145vWduPfR\n9Rart2l/Dh2pnaU6peuWEpWZ4zsLqWde3+n4/f2Pb8TbWw7jF89sMi87x519YMXxSxR90VgSL727\nx8gd+4tnPkIskcJDT2+yCNhoTGaBdV4qzdUCK0uRlTRZYO0FLH/+bhZYv0/F8paxFh9XGaI1iX+P\nnVYGZAKWpbESJx9PrzU/Bwnu3ekLh7gMI3yxAEYwoLm6KcjEkKoq8GvylDoVOQjYbPObJoRr6yTY\nZO4C40eWS7b0tj82+b9kVZPxGX+fsvHnFIU4fx2Wt4xx/C3/6InPaDDLKmlM5MuKPYjYrQrww5G4\njaaqzi4EAxjLUF1SjapAJcp8pRhRUuP+g2EML2C9uMqQgC0y7NJoRTjLkSwJ/7d/+RZuufdV6T75\ngVfs0NhSsCx62k3A8hZYFj3NVllVJZMGJxrLRJQfPhrGaxv2Zx0VKnuUmYjJZhDWjLKMcoEk7svJ\nhSCV0nHXw2/jZ49vNFm4tu+3LlN7wU6U7T7UZZutIJu0PU5saO0QkvNb88DGEyljG2tFSPO1/N1L\nW/Hr5z/GN37+huVYoiiLxDI10tkzk74/MD574GsnmxKYZyVg+bKvkuvFt8fJAstPxNx8YEWr4s0X\ntqCsxIcvnmOdYInvGX+vbYO44kmpuGWrLW6uL4neFY2+WmDPWzEZgNX6mhWSbkZTVdO7yC+ty4Kf\nZGRr5eQ5aa55JcdpXzIL7FiboCeGk56+7NRm3PWlJTizNwgKMLsQ9CWwlL+Onz1zmm1AXErXTf2j\nOB7VOljUZTAfWC9BXHbuFWYLrHkbn6bA5zAOZLNik2/8qg//tPTr+M6yOxD0ZZ/ecjjBB3Gl4H7P\nSMAWGWI5PSAtQPmShOIgnEimsL/dvswnP2MXLXass9i61ypg3SwnoaBmtJNFT/PtD/rTHbuOjCXz\nu/+5Dr945iM8/doOYz+8wMhmyMnFiuT3KUabeBHC2i3uy2nm3n4sYsrDyXCq9+24LB6Tp46S+Try\nv8kWuwFQ9IGVnTtzB3ELRnt1/T7b7/6fsKyZTmCfvmZMwIr3J+jX8N0vnoBV89PpfLJZRuXPSzZx\nSlkssObzbuwNIOInjl4ssDzzp47Ev966EstbxhrL0Q2j06JPHIy7uOwCdte5KxKXtiHjQmA+B7Fs\nazxPFtizlzbgxgtm4zZJSiivyN550YWAv0ZefWCd8u+6cd7Kyaa/nSy4MgEry8PN78Jpf6qqYFxd\nmWkbkwVWuoqQwttbDqGt0znnNv+olQR8mM9VQjPtL6mb3huxubKKbU6UGC4Ezi48gH0fqZgssIIL\ngaoaKRJlPJWHYjp9IegLIuTzFqcxnOEtsMyY5wQJ2CJDTKOVTKXwT794C0/ZCD7AfRnZrm47//eu\ng1arodvgpiiKEcgluhAoClDClRBkQou5PzzNLW3z1aSyWZpiVqZAFpHUvO8UH6jB/mWxwDosZdsu\n+TuIGyfhxwt9r/vL1rfrvY8P47p7XpH6xprTaCWNiU8Zl3Hg35/+CLquu6eRcvhaTDWU9oFN/4AX\nHUxAs4FcU1WUBjNJ773CC2GZgLVzIZg9uRZXnT4VS3vdALKxwMrEEzuPWy6ag6tOn4qvXpoWfdMa\nzMuKXiywf357D379vLXKE7PAdgrlm0U3HiMLQR8tsH6fhoXTRnm2isqQaTlVELAmCyznQhDwqZg3\npQ7j66w+p32pihrwaaYyt055bGUuBLLUaSEP1cRs28M9TzLr+tqNB3D/4xtx+wOvO+5HPI+F0+Uu\nLslUyvSOq4qCO794AmZMrMEXz5mRdSozwwIrcSEQz8eub3GywGqa4phvedOOI57bSgwcvAU2SQJ2\n8CGm0TreEzf5mQHWwdNtME06pP9hnYfMkudlcMuUZk1HT7MBV1UVlNjkNOSPCwAfbs9E2MsCmews\nhrkkY+dn7nzuUdZu0TKiw36CYLdM63Q/3Nx6ZPfBSfTGEqmscpL+9H83QNfl5X3584nFU8Y94/Oo\nvr+1Ddv2Hcs5HZgMPgsBP4Fh14IfrELB9PO253C3p+BAQHAhSFjbnRIELrNOzm4cgdMWTjAsbJE+\nWGB5KkoDOG3hBFT1+oyumj/O5O/olldZth2D+cCKAjaWSJneo3z5wOYHqzjUVMXc/3CXgQ8kbRhd\ngVsunoPmCVXGZ36fis98ahqaJ2RnJRThBZGTz2qpxAIrc80IleQuYN18YFk1MMDZfUS8JvOmjsQ/\nXDUf99y43IhZANJ9Hv/oqWrar/frV8zHcknuVzec8sCKK4p2/aezBVbBCIf0al6z1BADi48ssIOb\nTBotebonQGaBdQ80YojBUIleX1BZl+FlcGMW2O5wwtzhKeZE5E6BXPx3uw914VfPbcaR45mgMnEw\nZsSMSGrvphZ+Wz6gR+csxyJsQNB1HX96axfWbT6EVEq3DdZyFjfOwkdm1XXwSLD9TS7wltFonLfA\nmpdsj/fE3Jf9hOvoZA2LxBKcC4G1QAIvYGdPTqc76grHccM//9XTufNt3b7/GP7fI+9hJ7fiwIvx\n/e09hjsOe/4zAShZ+MBm45etqjhr6URjWZa3wLK2lwQ0XHvuLExvkIsylqqLPZMyEcMHf+YrC0E+\nkD0boaDP1P/w58Mv2bPgU/52fP2K+Thl/nh87qzpWN4yFn9/6dyc2sVb0Z0qgIouBGcsrjdlcGG4\n5YZ1wu/gA/vB1jZs29dp/H3wiNydbOms0VghZGlRFAUzJtWipiJoKlaQTOmmFGnZBsGJsDRabhUV\nAQcLLNepiJbkeCKFiQ5W4XwEEhOFh8+TSwJ2EGJxIXBZ8gTcXQh4AStuG0+kbK1pXoQhy0TQFY6b\n9qOqYlWohMWaxP4WO5e/vL8P9z+xwfibF7OZ80jlZEUyWWB5FwIbCyyQGTA+3N6B3720FQ88sRH/\n9xdv4l/+R17tzEncuBlLpQLWxdoZdSm76gRvWTrQkRn44omMD6y4NHesO2YSgFKE5jgtn0a4Qgay\nSkT8YMX8RhnvbDns3A5Yr99HO4/gvscy987ufrHnigmPeCLzzPXFAmtHRa9vJz8xYk33+1QsmTka\noyXBQTUVQcyenC40wlwIZJNa3peafe8U+NJfnDTXmpf05LnjzKItKRcgLLCPP18WUFZVFsAXz5mB\n2b1FWLIl6NECy/vkfnnNTFx+WrM06KsvLgSqkslzyrsZdRyL4N5H15ussnY+89ecPcPxPEzp3JLm\nQiJ91K+G649s1UR8Vu1iCJzawFxYzl7aIP3+WE/MddJJDDyamnlHSMAOQljkHRNSsqhpiwuBiwWW\n34dYsjOeTNla+LzMunkXAtFnyiRGOD9HBhtsZZ3aNi6oTCZgedFjlzdQhskCy7sQ9P5fdsZswOAF\nnlPQnKOfq+S7Esmyudf9AWmh52VJX3ZsXhwe5M4vFs9kIRCrGD383BbT/fGC0/Lphm3t2NjrRmK+\nFpk8vwzxmew45l66UyY2249FHb8HMi40vFU40hto53a9s/HLZlSErKWZMz7lSu9+rc+6qipGCqtj\nPdZCBoz/+4u3jHzN+fKBzQcjq0O458blpnu/ZOZoTOQqlI0bYfZxveWiOZjfXIfPfGoaAOCsJQ0o\nCWhYOmt0n4K3ePjnXlXFOPwMsrReMgF74cmNAKyTMM/t6b33vMVyi6SACOuv+O2+dtk8V2s7bzVO\npsx+7vmzwFr7N6uAlb9bTuKbVWf79PLJpufoklPSrjm6DnQ5pDckigO+kIEXAZv7lJAoCGzAOtgR\nxt8O7MMESXoaNxcCn6aara58AvYsLLBeMASs4EKgKIpRTScWTyEST1qSyB/s6EFdud91eUeWQirK\nRa6LlmJFsfc15TtxUxCXQwW0bH1tnaxzsnaVhzLXQO5C4CJgY0lXNwPALoAp8xnvQhCOJY3UM7mI\nMXG0dxJK27jyrjILrFMKI6fCEAy359tWwBouBGZXGP5vO+xKlzrBLHkyH1h2CaRJ/7lgynA0iX/5\nnw/QZZN27U9v7cIFJzVyqxd9NK3liZqKIL786Zl4eu1OXLG6GaqqoLo8iG9/YTF03RrVP6+5DvOa\nMwUixo8sx7/eujKvLhGiBdbnU6WuGXw+7Ihk1YAxvaEGP7x2qTRDgRcCfhU9UbMLgayyHJt48oYB\n9nw4wb9niWTKyBEOZF+4QIRZn6PxJFIp3XR9nFwIFHDGBZsmNHFlhoN+DeecOBGPvZJOa1hdlrnW\n4WgCgeJ43Akbss1CQAK2yGCVuB57pRWpI904Y3G9ZRuLC4Hwd3nIh6Ndmdkmb/kURUw8yyAgEVsX\ngt7epiTgQyweQzSWRJsQjHagvRt15dWuAlYWcR6NZyy6or/ZmNpSWwspP8DxlmnDhUB2fLaU7lHI\nOQtY63ehoA8+TUEiqUstsK6BX72DghtihoNkKmW778NHwzjce79kEdUiloGd229K1z3n/eUzVxzo\n6E7v2+G3sqIeIjKLDi9C3V0IOAtsNIFUmXsaJ7cUdDIqQmkrqskHVnBtkZXuVFUFpcFMm/iiFwun\njjSq3AGZdHeZSVl+rJX5YH7zSMxvNqd1yibaPd/+vKYgLlXBGYvr8czrO01ZOQCglPMRN1YtuMnu\nqJoQrj59au+/nfPDOsHuFf8eb93badmOfc/7m3pxX+AF7DcfetP0XV9dCPj37ZM9R02ZN8SVOf59\nVFXF+NvOCiwG/vKT+QruXY3GkwgEzL7Emqb2WZwT+YMXsF6yEJCALTIMgdP7P7406cJpI/HOlsNI\nCeY20aoqWml4AWD1n+2jBZYFcUXiJpHCKreU+DUcQ9pyJVoXn127A0/8JWEIJTtYhzyyOmRsmxaw\n1iVmALjpwhb8+9Mf4dQF4y37Q/A3vgAAIABJREFU4q21SZOAtQ/iYv5lXi2wjlkIJJ/5fSqCfg2J\nZMJ0jVibPFlgPdxDMXrZS1Jx1j43eGvVtr1HTYNsMimvGuW2n493pwfnjmNWFxKGU45chuz6haNJ\ntHVGUFdVYnvtAoIPLJBOA+TlXPpigTX7wJotsJUS8awosLUKz2uuw4c7OoxJouialE0A5HCDn7ip\nSrpoQ/2ockskf1V5AKNrQjjSFcXSWenqVgG/hpsubEFbZxinL6rv8xI8IHchkE3U2fd80GGJJFOC\niNMEoK8ij594/eKZj3D39cuMv8XJrTmWghew5n1efloz3vvkMC4/rdn293x6t2gsiYpAenXyuTd3\n4fFXW1FXFcK3v7BYmsuX6H80ciEY3GRqrKff1oNHMuKODe7iALppR4fp76Bfw60Xz8G9j6YDVcxZ\nCMy/jcXzZ4HlxRcb9FkmgojEB3Zjq7w8qgjbb3V5wBCwEa78qNjxjh1Rhv/7uUXSfWk2QVwM2UDD\nLLBehb7ddq37juE/nvnI8rlPUxEMaOiOZARsMpXCnQ+/jUgs6ZoOyKsPrBi9/NqG/a6/AdJiT+MG\nEhlMsMUTKXzln18RjuvdAuvFf/HSU6bg9y9vBZCxKDphd21eWLcLV6ye6upCIGbT8PK+ZJOFgMF8\nKXsi6awMmqpaLLCVknyrmqpIUzkB6WfL7EOc/n8xZSEoVkQLrE9TccIMa95UVVHw3S+egGg8ZXIn\nWDBVXiQgV9jzyE9EZatThgsBZ4Et9eD2IpaL5emr/uatpOKqidg3nDQnE9SnqQrYGy624YzF9dIV\nSpOADZktsM+/tR+/e2mbcczDR8PYefA4pjdQiddigNJoDXIM66ouz42Y3ibzgnYci+B//9pq2q60\nxIe5U+qMMo+8D6wYxBVLJF0j451gPrCRWNIIEAEyQsQoJxtPuAab2cE65FDQZ1yDdFCY3ALrhN8k\nYDPtyQgF62+YpdKrFdFuu+/8cp0liX96+5ThnsCE2a6DXdh1sAuHjoRdhaZXUSW6EPzupa2uvwHS\ngUF2AxgfoQ/I0+QkUynXTBkMLwL2zCUNWLNsIgCPPrA214YF/9ndLybu+LLI4ajZAmsnAHMK4uoV\npzpgvEu7eyu9sXvHgrV4VFWxtSBpqmLyN2ShSOx+FEce2OLEaxYCIL28Xy4J5sonhoDtnYgmbFY2\nMi4EGR9yLxMVp360rxZkv0/FVy6Z29uuhMmKzPfDd1y5wOTb7BTAaXss7lzLQn7DLSwaS+I3L3xi\nEcyHjoTRLumXif5HpTRagx37gZ69zHynxUfGM5ioZMuDcZuALoDl+8w9Rx4fHMAv9TKrFRsEorGk\n0Y6SgJZVTkRmcQj6NWN/f3l/r7Esmo0VSVUVQ4wlkunk7j/+7Xv47YufAEh3klPrq0y/6em18nkV\nsPIla3tfzXg8ZdzHcDSJ9s6IJ2HBxMxTr+1wnISwZWhZAnQvpAdv+eDB7gcbNGU+vvFEyvPkxcnf\nlWd0ry+hNxcC+edlvYLD7nv+HhjFDGLmCZ/d0r0/FxcCTgAxP9i/vLcXQCZjh6ziVUnAZ/u8aKoi\ntcAaabTIAmsL7waSx7odOcMmRUz82b3P4mQyFPR5En9O2VyysBHYUscVGmD5e4HMZCrgUzGtodrU\nVtO/PR7n1AUTMKo6hIXTRiLo1wxLul3Z7f98djO+/sBaT5NhorDw95sE7GCE3T+JBZZZUvglEtkA\nxIIM2He89SssvMQdx6K448FM+cFsrQj89s+8vsP4t2iB5dNe+TTVkhxfBhtkM/lIVSNv5fpt7Uaw\nSrZ+fPx1efm9faYygwqAr14yD/9w1QJMGJlO3dMVTg8EXkWYTOi+x5XLFREto7GEN4sqEzWHj4Zt\nq5UBmesoWh4mj62UbW7hgpMabQewIGeB1XVdamlN5+z1pgC8WkIy6dus+YVF7CYeLAODXUfJBzhl\nnuOE6d7Y+RbmYoHl84nKMm8AQGWp9b0J+FQoiiK1oGmaYokuB3KrYjfc4C2wXidWhYRNilh/EbN5\n55kbEivb6tVY4OxC0HcFW1uZyQjAp79zcmfJxQJbWuLDD65dihsvaAGQmYhE484Bn637rAFxxMBB\nQVxDDJkLgcy3MGOB7RVqnEBysgQCwPXnz8Y7Ww5h2Wxv5QJ5IcrSIfFLVkEufcof39gJIL3sWyEZ\niEVi8RR8mmpYGgI+zRBtPNm4EABpwRtPpK9dZ5c5QEhR0qJsan21Ic6ztcDK9NRr6/fZbi8ORPGE\n96AnhlM0fiyRgt+nYccBc+5WLyJ58fRR6Qo9di4EQo122UAfyyJVWzCgIRT0mZ7T715zgmU7dm+S\nKb03tZV9V2Z3bGaRcctCAGSCUI51x01+t3x0N8skIf7WK0G/hoBPRSyRQlc4Zjx3PLI0Wmwlwu9T\nkRQmqLUVJVA5yxoTN0YaLbLA2sJPQsSVq4EgE8SVvod2K2dxwYXAzj9aRFUUqIoifV/yIWBLAj6U\nlfjQHUkYq3XJVAr/9tSHAORFNWTpyLzAtzfo13AccVsLLEP2bhEDh04CdhDjYIHlB1zZS8mW9dkg\nyosKt/rxtZVBXH3GNM/NLAlolgAffsbPW2D3tnUbn3sZ4GOJJErhMwZdu8huWdlGJ9LiOh1UJk4A\n+I6vlLPyfbz7KH79/Mee9i9Wkoklkli36aDpMz6/obgUGIklpR03/xsRp6X0WDyFgC+J375o9nm1\ns+CYjukyfvBpr+LJlHSgdxs4GKqi4MwTGtA4thL3P7ERQDrHoywXMu+60hWO2wrYLbuO4GNJsncg\nI+bcChkAmef4j2/sNCZigPn8p9XX4MPegEovqcdkVJT60X4sip89vtGSrskOZmnz+1RTSrqqsgAm\njCrH1PqqTPaO3u/JAusOH7xXFBZYlkYr7uxCwO4x6+u9ZCBgaJqCVML6PuTDhQAAaitL0B3pQsfx\ntAWWT/kmM07kKmB5DBcCF1e5vrjSEfnHiwWWeq+ixfzifv6s6VILrOylZLkGM0vlbKlUR6R3Vn72\n0onSo2abLkVRFFMNbcDc8bNluE/2mJdnZEusoisAOzc22NrNkHN3IUgh7rC0zQREdySOH/7mXc/7\nFwXRpu1HLJZvvmMWO067oCyngajHwQKbSKYMNwge3nWhpkKeXJ0JervnIujPtCkWl1tg3QYOxu1X\nzkdlWcB0n+uEHI8M3nXFKRPBj/77PdvvmNjLxgdWhE8PNHfKCHz+rOn46qVzc86vWh7K+LjaWdVn\nT641/c2izUUxynx8Lzs1k2aIZaywy+BBZAgIqwsDjZhGy24CyiY0GR9Y78+i3WpWPiywAF8uOf3O\nuk1utTymH3PLN+72PdG/kA/sEGJkdYnUAiv6T37qhHos7E3fwoQdE7DRWNKw4Nn5uuaS74+PGgXM\n4pSP3uaRWX7EY2csDc6FBLIpJZvevvc6SiyGvJWXuUe8s+UwskFckm6XlDvlB4RYIoXxdZlSmdF4\n0mLFBZxT4YgBCHzamlg8KV0mj3PCstZWwNoeEoDZ2h5PJKUuLfzAMGNiJl2N6JvHjsX7HlZJou6B\ntJ8bwy74ws031hCwNtvxEyM7EcALW5+m4qS549DSOMLxuE6U27jW8Gnhbr5oDu760hLj7ym9adbE\n94BZgctDfpxzYnrCGokl8fTaHaY2E3L4VGhe08AVEj4LQTSexIfbj0i3Y5NZQ8B6KGLAsBOw+bLA\nsgmfmJfYjnxaYGUWXh6vE22ifyABO5gRXAj8Ps0YoFI2LgQPfO1kXHZqs/HS83kDdV03ichym9KC\nuXQYojV3ycxMrkRZWqSAT/WU6J0JVybS7ZZls/WBzbhWWF0IeN1Y6nEJt6VxBC5Z1WSIUNF66sXX\n9KaLWox/R22S5YtVmL54zgzj36IVkr9WbZ0RPPbKNsv++MlPbWWJ5Xsgsw5gN87w9zeWkLsQ8M8d\nL2CrhZKaLMUT/2zYCVhNVQ3x+OH2DvzmhY9x5LjZn9ltQBJ9YENBDQ/8/cmYNbkWn142yTS4yipg\nAWareD6KAsh8wyeNqTAF3Pl9KsbVleG2y+fhpLnjjETu4nvAW8f5lZAnXt1u2hchJ1hsFlgu1/LD\nz23G46+2Srdj7xsL2M0mSb/dhCZfFlg+GNIL2fbtMlhfeERiSODx6upE9A9J3f1+UO81SGAO9gDQ\nwwkCtlzUMLrcIhZH9IqSZEpH+7GIIGDlwiCX/iIU9GEWt6w5irP+lUgsV3dctcDTwMkESMYHVm4F\ncwtME2GddDKZsgxMfBWkMo8ZGUpLfDhr6UTUVWeuN4/MwicK59E1pRhdk75udi4E4uCyvGWsMSCI\ny838s3Dvo+vxpuCDC5h96NxcCBSbKC7+/q7f1o4f/sa6ZG8qackNpqJYk42RsrynDObi8ae3duPF\nd/bg/ic2mL7fskvu+8qI9EYls2utKgqCAQ1fu2weLjip0bStXSR3iPs8W19sGRWSZ66qXH4NZk6q\nxefPmm6IfFFAB7mymXb5dakSlz2qJHvDQMKn0XrjQ+v7zGAW2EguLgQ2z0O+qq3yMRGAe3GYfFpg\nj3bZV/Tj20QUB24raAAJ2KJFFyywuq4bPk/723sM4bV5Z3qQHi2psT12RJkhevcc6jal0LJ1Icix\nw+ADXnjLpWzgrKkIeop+Zh2KrL44T7b5+9isPpHULT6bvEgMeUw/w6yO7FqL2pMJJHEQmNOUXmq+\nYGVaLAUlKcd4ZJ4SrDKTGMTlJaKWHzzcBOzMSfJKNfz9ffQvVisvYC5Z6xQRzY7FhHz6uLV2m1ue\n4W17zVkWWCU6O0QLrNOzbycASwQXgr4im1hWlcnvjYh4fN7lJmjzLJMF1hvFYIHNuBA4t4UZONh7\nZ7d6IMPOHSsfQpJvi9i327cnHxbYXgF73FnAkgtBcTGlerLrNpSFoGgxv7ihoA8fbs+UjN1zuAuT\nx1ZiX3s6sn/WZOtA7/epGDOiFPvaurFpZ4dpicRueTzXjooXQ3xqLXHgH1NbisrSgOU4jeMqsae3\n6hCDWe5iXBDX1PpqS1R5tgKWDQSJVMoS/MRbPr0mL2ciWBZkB2QEbXnIb8rveeMFs7HrYBcmj0sv\nDwe5aNmk5OAy/2R2LmLnyxLYe03HZStge///mU9Nw9sSX2AvlbPsLLCJpI6gXzPazk6vtMSPu760\nBLqu27YL8G4ht0O0AjkNlnYuL7xltlAuBF5dWZzyeNrdJxKw3igOC2z6XvGrRDJ6enMj84UMvGIb\nxOW5jIAzogsBvwok69/y4brArps4voj0twU2peuIuqQAHI58ZcF1ePfgepw9ebXrttR7FSuc7qit\nDGJcXZlJ9H24vQPffOgNwzHdzleQJeP/89t78Or6dEnSkoBmO3DlEsQFmDsifsDlhdWtF8/Bt7+w\nGKpQ3nLprNG4+aI5ln2GowmkdJ3LQqDi7z4907LdqBp5pLodzMqQSKSwfb/ZascLR68dS0qw4Flc\nCHr/Fi2Gfp+GpvFVxjVnVtN05SqZBdZ6b5jVTUypoyiKJz9jhq0PbO8hK0oDJtcQhqYprsKtx0bA\nJpMpkwDkn71xdWUYP9KaPounr6U7xTRaTpM3uwDCYCDPFliJgPVSbQywWs/2cWnr7FwgKIjLG07Z\nSvoLvyFgnZ+HlK4jGk8a7mXZ+cD2rwsBn0lB9v7lwwLrNb9rfwvYnz62Hrf+66um95QAmqsbcdm0\n81ERcO7/ARKwRUz6xb14VRPuvm4ZAPPL/L9/bcX+9kwZWbvCALLSk6GgzyHaNLcOI57MvPx8/spp\nDTW9lbd8mDGxxuhM+OOfvqgeVWUBjOMi8YH0ElicE2YBn4bayhKcvyKztOD3qfj0sklZtZV10lFJ\ndP5MLshoTtMILJg6EivnjMX3vrzEtF3T+ErMm1IHn6bg4lVNpnNKJlP49fNb8LPHNyCV0g1fnpKA\nhsZea6tMdAeMoDu5D6zMGuHzZc7FvC2ySuVUwwVU8c8Af8zjEiHlxcrLB2zw/njJlG4SVtk+el7z\npNphcSFwaIDdIMifuxdrtBsyH9iT54339FtRfCyePsr4t137yQLrTHWv//GZJzQMcEuye597IgnD\nhcCrKxTg4EKQryCuoNmFgO+3Vs0fZz1uXgSst2c86jGwLF98sLUdiaSOX/7xo3497lCCbNfFSu+4\nuLxlrPESO6WLsrNGyQYoRwGb43gWN1lgM22pKgvgh9cuRYCrSS22l1mBrj13Fn757GbDRSAcTZhm\n6Ewg8BVbvrxmpul4XmDH65SkVbn01CnGv1VVwU0XprMD8AEAY2pL8c3PLDLy6jKLM2vH3rZu7O5d\nrlq3+ZApSOj2Kxfg9Q8PYOKYCsux2fnFEilpGi2pCwGzwAo5IVVV8SxOVEUxBQrNmTIC73/SBsAs\nKmXBcqqiuLpa8L/jrfOJZKpPy2dOFlgvbiWxRAqplO7NAmszCLYdyUwixXzIuSBOOBtGlxuTHjd4\na+qFJzXi1AUZ4UsW2Nz4zjUnYMeB47Y+4P2JXQyAjOM9ccPtIdtCBjJyHRdEeBeCcDSB9z5uM767\n6OQmy/b5mGB5nVgOlA/sgY4e940IKdR7FS0sgXzmE6flFJmlFbARsAHNNmI6V58jPhhKPGZtZYlF\nbPB/s/MaXVuKf7hqARb05rHtiSYQ5S2wvSKCDwDLpbnMUiVGpdZUBE3+uzy80GKlHFVFMQkyFlDF\nl6dtPxYxfCyZqDxp7jhMHG0VsHzFGJlVU1WBTy+fBCAt3NPnYuNCAKC90zltTGa/6dK/N13YgktW\nNWH57DGZ/bhcYNFqLoMP4jK5EAgW2GytPHb3CgD+1SWAi9FxPGKk33J6v+wGwTnNI41/eymP7Ib4\nntx+xXzPv+Xbf9bSBtPEztYHlgSsIxWlAbQ0jsg613Qh8GfhEsTnni6mQgbsfY/F0yVk97Z1Q1UU\nfP2KedJn9MrVzSgJaFg6a7TlO6/Yuf+IOLkQbNl1BL/60xbXXLK54FQGnHCGLLDFSm8WAt4qNLIm\nBOywbqqpiq2FRTZAOVtgcxSwWUbp8gO1GCARMpaZEqYoVbaExltgc+lYmeg72mXujJxm6rz1I2pT\nwrGyLH1OxzgftXA0YVxTt7YygR6Lp+QCVlFw/orJOH1RvXH9fJzbgbitV9jYzCYOfLCgm3l1an21\n6/6ZBVZVFNM1TgvYTBeU7a10ssBu3dtp+x3P7Q+8bvw7Fx/YZXPG4UtrZmD8yPK8DPJlQn7mbFYX\neGuqeP/tnu18RZcThUf2DDaOq0Rp0IeN/DsLoMMkYPuehSB/PrCZtrAyspefNgUzJsqzjYwdUYZ7\nb1nZpwBJ7y4E9gKWVfTrDsdx/fmzc24LQ0wRpet63iYJw4mBn1YSjvAD0YVCbkpGRanf9uG3cyGw\n6xBy9XXiE9R7YSaXNaGuyhxAxCwGb310CD/+bSavaNCwwHI+mlm3NJOvs1MQsE5R3ObKWfKOrlJi\nBQ9HE56WqIHMABVLyH1gVVWBoigm4ZZxIRCDuBwPZd6vKHa4yZBTyp5TF4z3tATNgrh8PsW0fUII\n4sq2AxfFnhPTG9yFtlPZSrtBUFMVrLSxqOdCXyx9/PMrXku7NFrE4MFSKrjEh3/87CJMkzzbJgts\nFmm07IO48mSBFSZSJ88bh9MWTnD8jd+n9un4noO4PLgQbNklr36WLWL+W6/ZYggzZIEtWqwW2PKQ\nH2UlPsuSg537ACD3cUtbYPM7d7n01CkoLfFhPrek6sSIyhL89LZTcOxYj8XKxFsMeCspE3ia1jcL\nrF8osWvsy+PvxeV6RoUkE0QkljTEg5uxK2OBtXEhkAVx9Z6LWIWqLx0+P8jwfmE+TUUimULAp+KH\n150oFewyWBCXT3jmEknd5J+XfRCXN+vkVadPxWkLJ+CaH77kuJ2zBbb45/pOS6X5CDAjBhbxGWTP\n65TxVcZnNRVBHDkeRcexTH+Qj0IG+QviMrflqtOnFtzy6PXZt3Mh4MWmVzHsBp9l5ozF9eSLniMk\nYIuV3udb7Dhk/jJOS6kyC2xJQMv70mFZiR+Xndqc1W8mja1ER1C1pIyysxgwHzDe/SGXvi/f/r+M\nSokPZE80YfhGuqWEMSywcWuFsHT7rL+x6/iyub9O1jperH/j6gX401u7sGbZJEsZWCeYD6xo3Umm\n7NNoecEuwENcnvOaHsfpmg2GaP3zVkzG25sPYcqEKst3Pi27vMBE8SGKJ/a+TGuowXXnzUJtZQl+\n83y6pDKzwGqqkpU4KrSvL+9CcOYJDf0i3LxOPu1cCPhc4XauetnCv4eLuGwhRHaQgC1aWOYB90Hd\nKXhkMAZpyCwGfp9qdNi+PAVxiXjd1yRJBgFAXvY0ko0LgT/jDiATsLLf2wmr7FwIzH/zFgveXWLy\n2Epcd17u/l/ixCGZ1B0rc7lhd+6i20M0Ls+eIC7jOb1ro2pKccbieiSSKbz07t4cWlt4aiqC+MnN\nK6TPdzovsJZ12WWieBCfd/4dP2FGOsiJBZUeOhIGkF7NymZino+8q07wAlDm+lAIvFpNo/EkUrpu\nmUjzgVv5csXhBWyhr/lQhgRssaKzwB/3TZ2c9GWDvJcawwOJ7Hz4WbTZApt7EJeIW7WZf7hqAf7y\n/l6j9KtI0K8h4FNNAiocTRqVuNwsjKyjjcWTlhK3dthaYPtgTTZbYPOXWkZsazKlo4lb/sy2yXZ5\nMcVI4UTC+rwHA1Yx5zbBuPy09ApDoQXsiKoStHdGcspz62QpDvpVhJ2raRJFjJ0LAQ+bELI0cl6y\nhPDIJuH5xKep+Npl89DWGTZKaRca0YWgJKDhuvNm4ZX39+G9T9pM38XiSUvp3WNc5bO+uOIkUymo\nSjqOIcn17yRgc4cEbJHjRaA5LZHIBjQmqG66sAWt+zqxaccR7DhwPOc25hupgOU6jr6+8LYC1mW3\nU+urHaPuFUVBRakf7Zz/GR/E5ZqFwKh1njQssKGgL1MSUuJaIVqj2dzE6VA+TUEyqRvF3sR28c+T\nnb9vLsgsg9MbqnFeb2GKUTXZ5VG1E2sf7Txi2ub0xfWWbUpkArZIooBvv2I+nl+3G6vmWRO79wXy\nHhjciJZEWaCnWHbYbrXIDll+6nwjK3teSMQATEVRMKepDpVlAYuAjcYkApabEOdq+zneE8O3fvEW\nGkaX4yuXzDVZYMn/NXfoyhUpuu59MHWq0CJ7OZgFdsHUkbh41ZS8OabnC5lQ42e+vOVB1om7kY+a\n9XaIAWndkTiXB9b5t0YhA84HtpRzp2Bpunh4ETees7a0d0bQ0ii3cHzr84tRxvlNi/MBXtB6Se5d\nXW612oyuDeHMJebqRbJnUVEUnLdisiFis8Fu4tbWmV4+bRpfiZ/euhI1FVZ/XZklpVhSSo2sDuGq\n06e6ltLNlqvPmGr6+5wTJ+Z1/0Rh8WmqaQIt82cWJ//ZWgwn5SmbRjEhBjcqNp8D8kwEfFGUXFek\nXnp3Lzq7Y9jQ2oFEMkUuBHmCBGwRM1syU5U97E557mT+sZ8SyiLOndI/SzlekfnA2tXMFv0YvWA3\n4z1rad8HdHEA6Y5kctm6uxCk25VM6UbkPi+IZRMV/t4vnp5J9n20K4YvrZlh2f68FZMxYWS5qZ1O\nlmGnNFqMr0uS7c+aVGtZAmfP7oUnNcKnqfjqpXNd9+2EnQWWBW2VBn22kzPZMzbUBxI+a8N1582S\nVj4iipsrV2cCZRNJiQVW6H+yNU6Mrcusgowd0ffKcsWA1QLLPpcI2FgSf9uwH9/4t9eNXNJ8kHE+\nqnVFYklTBpximTgPRsiFoEhZ0TIOnz/dOsD/4+cW4Tu/XGf6zCkLQf2ockxvqMbmXUehqQp+cO1S\n1FWFTNucvqgePlVF03hvJSsLjcyFgE8LwwvBXJZ0RAEbCmq47fL5WS+3yRCX8ACgrbciltc8sEAm\n2wQvtGQCixcl5SEfrlzdjN+/vBXnr5wsTa/GRJ/PlDPUvk1eLA5jR5RhectYvLZhv/GZT1MtApN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RM8CuhiD3Y0UcCSBZYgiByZNbkWAb9qyiYQCni3wB7pTec3urYUqqrgjivn49DRMOY0jShM\ng4cpZIEtMljSC8pCUFiGexDXUMPvIxcCgiDyQ8CvoaXRLDYNF4JEylTJUAYTsLW97gPTGmqwcs44\nWlnNMyRgiwx9iCceLhZ82vBOozXU0FRzVxaiIC6CIPrAwqkjTX8zFwLA2QqbSKZw6Gi6gMuIqpLC\nNI4AQAK26Mj4wA5sO4Y6vIAla/fgx+8jFwKCIPLHnKY6aNzqXIjzq3fyg92295iRB3bSmIrCNZAg\nAVtsMB9YElWFhXchoEs9+NFU0YWALLAEQeROaYkPMyfVGH/zAtbOAptK6Xj4uXT1zuryAEZWWyt1\nEvmDBGyRwRwISFQVFh9lIRhSWCywQbLAEgTRNxZwbgS8W5JdMYODR3pwoCOdueCSU6aQz2uBIQFb\nZOiGczg9+IXEZIGlaz3o8VEWAoIg8syCqSNRHvKnrak1GWtqLCEXsHxs17T66kI3b9hD62xFBnsB\nyChYWMwW2AFsCJEX+PsZ8KmWoC6CIIhsqSgN4EfXnQjAvMpjV41Ld8lOQOQX6uWLFFp6KCwaBXEN\nKXiLOllfCYLIF6GgD6GgDz5NNfqWHQeOS7fl9SuN4YWHBGyRQs9+YfGbgrjoYg92eAssBXARBFEI\nls4cDQD489t7pGVhefsrDSuFhwRskUIPf2HRyIVgSEEWWIIgCs3pi+sBpAsVvPzuXsv3vAsBGUYK\nDw3dRQo9/IXFRxbYIQU/IaEMBARBFIKxI8qwomUsAOCJv7XiaFfU9L3JAtuP7RqukIAtUigyvrBQ\nIYOhhZ9cCAiC6AcuXtWE0qAP4WgS//PyVvOXJh/Y/m3XcIQEbJFCD39hoVKyQwuNXAgIgugHKssC\nuOCkRgDA6x8exN827DdcB3SQC0F/QgK2SKFnv7DwLgRkgR38kAWWIIj+4pT549EwuhwA8B/PfIRH\nXvwEgDkLAVF4SMAWKTR7Kyx8nlC61oMfkw8sWWAJgiggqqrgmrNnGH+/90kbALOApVzuhYcEbJFC\nD39h4ZNSUxaCwQ+fFo2vWU4QBFEIGkZX4O8vmwsAaO+MIBJLCIUMaBAvNDR0Fy308BcSTSUXgqEE\nWWAJguhvxteVG/8+0NFDeWD7GRKwRQo9/IXFHMRFF3uw4ycBSxBEP1NdHjD6m31tPZSFoJ8hAVuk\nkFWwsJhcCOhSD3rMWQjIhYAgiMKjKArGjigDAOxv70aKL2RAq6gFhwRskUL6tbDwLgRkgR38kAWW\nIIiBYFxdWsDua+s2fU7DSuEhAUsMS0yFDMgEO+jRKI0WQRADwLgRpQCA/e09QinZgWrR8IEEbJFC\nLgSFxZwHdgAbQuQFnykLAVlgCYLoH5gF9tCRMOLJFPcNDSyFhgRskUL6tbBQENfQwkcuBARBDABj\ney2wKV3HgfYe43MaVgoPCdgihURVYSEXgqFFdXkQigIE/CoqywID3RyCIIYJdVUhYzzZRwK2XyFn\nsSKFHv7Cwket06Ue/NRUBHH7FQsQ8KvkA0sQRL+hqgrGjijF7kNd2NfWZXxORqjCQz19kUIPf2Hx\nkwV2yDGtoXqgm0AQxDCECdi9hzOZCGhUKTzkQlCkkH4tLHzUOgXMEQRBELnCArm6IwnjMzJCFR4S\nsEUKPfqFhY9ap36GIAiCyJVxvcUMGDSk9A8kYIsUmr0VFh9ZYAmCIIg8wDIRGNCQ0i+QgC1SSMAW\nFlMeWPKBJQiCIHJkdG2pyRBCRpH+gQRskUKaqrCY8sAOYDsIgiCIwY1PUzGqJjTQzRh2kIAlhiWa\nShZYgiAIIj+wQC6A4ir6CxKwRQq5EBQWRVHQ0jgC5SE/Jo2pGOjmEARBEIMY3g+Wxu/+gfLAFilk\nFCw8X7lkDpIp3eROQBAEQRDZImYiIAoPCdgihWZwhUdRFFMwF0EQBEHkAu9CEE+kBrAlwwcyPRUp\npF8JgiAIYnAwprbUfSMir5CALVLIAksQBEEQg4NgQBvoJgw7SMAWKaRfCYIgCIIg5JCALVIUyk5K\nEARBEIOGG86fjaqyAK4/f/ZAN2VYQEFcRQpZYAmCIAhi8LBo+igsmj5qoJsxbCALbJFCApYgCIIg\nCEIOCdgihYK4CIIgCIIg5JCALVKokAFBEARBEIQcErBFCylYgiAIgiAIGSRgixTyICAIgiAIgpBD\nArZIUUnBEgRBEARBSCEBW6yQfiUIgiAIgpBCArZIIf1KEARBEAQhhwRsEaKA0mgRBEEQBEHYQQK2\nCCHxShAEQRAEYQ8J2CKE9CtBEARBEIQ9JGCLEBKwBEEQBEEQ9pCALULIhYAgCIIgCMIeErBFCOlX\ngiAIgiAIe0jA9oEXXngBZ555JhYsWIDLLrsMW7ZsMb5bu3Yt1qxZg/nz5+Oqq67Cjh07PO9XoSRa\nBEEQBEEQtpCAzZFNmzbhm9/8Jr7//e/j3XffxerVq3HrrbcCANra2nDzzTfjtttuw7p167Bs2TLc\ndNNNnvdNFliCIAiCIAh7fAPdgMHK7373O1x66aVYsGABAOALX/gCli9fDl3X8fzzz2PmzJlYtWoV\nAOD666/Hww8/jA0bNqClpcV135qqQNOGtopVVcX0/6EMnevQhM516DFczhOgcx2qDKVzTSZ1x+9J\nwDqQTCbR3d1t+VxVVWzatAmnnHIKPve5z2HLli2YOXMmvvWtb0FRFGzfvh1NTU2m7evr69Ha2uoq\nYP/jH07tPbbzjRvsJJM6Dh8+PtDN6BfoXIcmdK5Dj+FyngCd61BlOJ0rCVgH3nzzTVxzzTWWz8eN\nGwefz4dHHnkEDz74IJqbm/HTn/4U119/PZ5++mn09PSgoqLC9JtQKIRIJOJ6zJEjK1y3IQiCIAiC\nGM6QgHVg2bJl2Lx5s/S7NWvW4IwzzsCsWbMAALfeeit++ctforW1FaWlpRaxGg6HUVpaWvA2EwRB\nEARBDHUoiCtHJk+ejGg0avydSqWMfzc2NmL79u3G38lkErt27cKUKVP6tY0EQRAEQRBDERKwOXLB\nBRfgiSeewIYNGxCPx3Hvvfdi8uTJaG5uxurVq7Fx40a88MILiMVieOCBBzBmzBjMmDFjoJtNEARB\nEAQx6FF0XR/a0UIF5KmnnsKDDz6IAwcOYPbs2bjrrrvQ0NAAIO0/+/3vfx+7d+/GzJkz8b3vfQ8T\nJ04c4BYTBEEQBEEMfkjAEgRBEARBEIMKciEgCIIgCIIgBhUkYAmCIAiCIIhBBQlYgiAIgiAIYlBB\nApYgCIIgCIIYVJCALRCbNm3CxRdfjPnz5+P888/HBx98AADo7OzEjTfeiEWLFuGUU07Bo48+mvU+\nst1PocnHuT777LM466yzsGDBAqxZswYvvvii8d1gOFfGkSNHcNppp2Hr1q057aNYzjUf5znY7+mB\nAwdwww03YMmSJVixYgXuuusuxGKxrPYBDL1zHez3dfPmzbjqqquwcOFCnHzyybj//vuz3gcw9M51\nsN9XRiqVwmc/+1ncfffdOe1jqJ3rYLmvOaETeScSiegrV67UH3nkET2RSOiPPvqofuKJJ+rd3d36\nzTffrN9+++16NBrV169fr59wwgn6+++/73kfPT09uq7rnvdTaPJxrq2trfq8efP09957T9d1XV+7\ndq0+e/Zs/ciRI7quD45z1XVdf/vtt/UzzzxTnz59uv7JJ59ktY9iuq/5OM+hcE+vvvpq/c4779Sj\n0ah++PBh/dJLL9V/8pOfeN5HMd1Tp3Zmc66D/b4eP35cP+WUU/Rf/epXuq7r+r59+/QVK1boL774\noud9DJb7ms25Dvb7yvomXdf1hx56SJ8xY4Z+9913Z7WPwXJfsznXwXJfc4UEbAF45ZVX9FWrVpk+\nW7Nmjf7EE0/oM2fO1Hfv3m18fuedd+rf/va3dV3X9SeffFI/55xzHPfx7LPP6l1dXY776U/yca66\nrhudRzwe15988kl96dKleldX16A41z/+8Y/622+/rS9fvlx/8skn9WnTppmE3WC7r/k4T10f/Pf0\n2muv1dva2ozPf/WrX+mf/exndV0ffPdU1/Nzrro++O9rOBzWdV3XU6mUvnHjRn3ZsmX6O++8o+v6\n0LuvXs9V1wf/fdV1Xd+8ebN+9tln67fccov+ox/9yNhmqN1XXfd2rro+OO5rrpALQQFobW1FU1OT\n6bPGxkbs3r0bPp8PEyZMMD6fNGkSWltbAQDnnnsunn76acd9tLa2YufOnY776U/yca4AEAqFsGfP\nHsyZMwd33HEHvvrVr6KsrGxQnOv27dvR3NyMl156Ceeee67ld4PtvubjPIHBf08ffPBBjBgxwvj8\n5ZdfNqrpDbZ7CuTnXIHBf19LSkoAAKtXr8ZFF12E5cuXY/78+QCG3n31eq7A4L+vsVgMd9xxB+66\n6y6Ulpaathlq99XruQKD477mim+gGzAU6enpQSgUMn1WUlKCd955x+hQ+M8jkYjnfYTDYYTDYc/7\nKTT5OFfG2LFjsWHDBqxbtw433HADGhoa4Pf7i/5cw+EwKisr+7yPYrmv+ThPxmC+pwxd1/G9730P\nO3bswD333JPVPorlngL5OVfGULivzz77LA4ePIhrr70WP/vZz3DTTTd53sdgu69u58oYzPf1nnvu\nwcqVKzF//nz8/ve/h6IoWe9jsNxXr+fKKPb7mitkgS0ApaWllocgEolg8eLFiEajls/FGZTTPsrK\nyhAKhTzvp9Dk41wZmqZB0zQsXboUZ5xxBl588cVBca5lZWV52UexnGs+zpMx2O9pJBLBrbfeitde\new3/9V//hZqamqz2MdTOlTHY7ysABAIB1NfX40tf+hKef/75rPYx1M6VMVjvaygUwptvvolbbrkF\nQHoiptsUGR3s9zWbc2UU+33NFRKwBYCZ+XlaW1sxbtw4xOPx/9/e3YRE1YZhHL+EV9MWGiRUZFkg\nuZigxmkkJCthNhIW40S1mAIJY1rkgNNC3CQthKBdLYJqoynZB9jXJhKTWZSYhKFRQUmkWFphIUZT\n+byrhrQPZ2T8eMb/D2ZzPOee5+aG4eLwnKOGhoaix/v7+5WXlxdzjby8PK1duzbmOrMtEb12dHSo\noqJi0rFIJKLMzEzl5uYu+F7jWYsNc01En8kw09HRUfn9fn3+/FktLS1avXp13DUWykylxPRq+1xz\nc3Pl8Xj06dOn6PFIJKKsrKyYa9gy13h6tX2uN2/e1Js3b1RUVCS3263bt2/r0qVLOnr0aMw1bJlr\nPL3aMtcZm88NuMnq69evpri42DQ2NppIJGKuXr1qioqKzPj4uDl27JgJhULmy5cv0af+njx5EnON\nn5vyY60z2xLR68jIiNmyZYu5ceOG+fHjh7l//75xuVzm1atXxpiF3+vPmfw09eGmeGoshF4T0aft\nMx0fHzd+v98EAgHz7du3GdVYSDP91zrj6TUZ5rpv3z5z4sQJE4lEzMuXL43H4zGtra0x17BprrH2\navtcp/421dTU/PXJfNvnGk+vtsx1pgiws+TZs2fmwIEDxul0Gq/Xa3p6eowxxoyOjppgMGgKCwvN\nzp07zfXr16PXTH168G81pqsz1xLR66NHj0x5ebkpKCgwPp/PdHZ2Rv9mQ6+/mvp6KRvnmog+bZ5p\nd3e3yc/PN5s2bTJOpzP68fv9xhg7Z/q3dcbbq81zNcaYoaEhEwgEjNvtNh6PxzQ1NUWvSaa5GhNf\nr7bP9VdTQ12yzfVX0/Vqy1xnIsWYaTZPAAAAAAsIe2ABAABgFQIsAAAArEKABQAAgFUIsAAAALAK\nARYAFqmBgQG1t7fP+HpjjC5fvqzv378ncFUAMD0CLAAsUrW1tXr8+PGMr+/q6lJdXZ0mJiYSuCoA\nmB4BFgAWKRPDv6Gc7noAmA+8BxYAklxzc7MuXryo4eFhrVu3TlVVVWpra1Nra6skqbCwUA0NDerp\n6dHp06fV29uriYkJORwO1dXVacOGDers7FR1dbXKysp07do1bd26Vffu3Yt+R2Njo9xu93y1CGCR\n4Q4sACSxp0+fqr6+XrW1tbp79652796t6upqBYNBOZ1OHTx4UGfPntXY2JgqKytVUFCgW7duqbm5\nWRMTEzp16lS01ocPH/T27Vu1trYqFArpzJkzkqT29nZt3rx5vloEsAj9N98LAADMnsHBQUnSypUr\ntWrVKlVWVsrhcGjZsmVKTU1VRkaGMjMz9f79ewUCAVVUVCglJUU5OTny+XzRkPrTkSNHlJOTI0ka\nHh6WJC1fvlypqalz2xiARY0ACwBJrLi4WA6HQz6fT3l5eSopKdHevXuVkZEx6bzs7GyVl5eroaFB\nz58/V39/v/r6+pSVlTXpvDVr1szl8gHgj9hCAABJLD09XS0tLWpqalJJSYna2trk9XrV29s76bx3\n796prKxM4XBY+fn5CgaDqqmp+e1BrSVLlszl8gHgj7gDCwBJ7MGDB+rq6lJVVZVcLpdCoZB27dql\njo6OSefduXNH6enpunDhQvRYOBz+55sGUlJSZm3dAPAvBFgASGJpaWk6d+6csrOztX37dr148UKD\ng4PauHGjent79fr1a338+FErVqzQyMiIwuGw1q9fr3A4rCtXrvyz9tKlSyVJfX19cjgcSktLm4uW\nAIAtBACQzFwul06ePKmGhgaVlpaqvr5eoVBIO3bs0P79+/Xw4UMdPnxYpaWl8nq9On78uPbs2aPu\n7m6dP39eY2NjGhgYkPT7Hdf8/Hxt27ZNhw4d+u2OLgDMJt4DCwAAAKtwBxYAAABWIcACAADAKgRY\nAAAAWIUACwAAAKsQYAEAAGAVAiwAAACsQoAFAACAVQiwAAAAsAoBFgAAAFYhwAIAAMAqBFgAAABY\nhQALAAAAqxBgAQAAYBUCLAAAAKxCgAUAAIBVCLAAAACwCgEWAAAAViHAAgAAwCoEWAAAAFiFAAsA\nAACrEGABAABgFQIsAAAArEKABQAAgFUIsAAAALAKARYAAABWIcACAADAKgRYAAAAWIUACwAAAKsQ\nYAEAAGAVAiwAAACsQoAFAACAVQiwAAAAsAoBFgAAAFYhwAIAAMAqBFgAAABYhQALAAAAq/wPKjNK\nahn7WHIAAAAASUVORK5CYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0x10895d8d0>"
       ]
      }
     ],
     "prompt_number": 324
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "a_t.end_of_fade_in, a_t.start_of_fade_out"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 279,
       "text": [
        "(0.39456, 275.13324)"
       ]
      }
     ],
     "prompt_number": 279
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>duration</th>\n",
        "      <th>group</th>\n",
        "      <th>href</th>\n",
        "      <th>name</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td> 263</td>\n",
        "      <td>    Apponyi Quartet</td>\n",
        "      <td> spotify:track:2HQyed6DKNUFCu4QjQf4WC</td>\n",
        "      <td> String Quartet No. 34 in B-Flat Major, Op. 33,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td> 289</td>\n",
        "      <td> Buchberger Quartet</td>\n",
        "      <td> spotify:track:6kNBDD9jqd0pjNWTeByery</td>\n",
        "      <td> String Quartet in B-Flat Major, Op. 33 No. 4, ...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td> 298</td>\n",
        "      <td>    Borodin Quartet</td>\n",
        "      <td> spotify:track:1bKXLqRYwv1HnjJ2tmu3po</td>\n",
        "      <td> String Quartet in B Flat, Op. 33, No. 4: IV. F...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td> 298</td>\n",
        "      <td>     Kodaly Quartet</td>\n",
        "      <td> spotify:track:42ZB7AiDtgJt7wwfphwe25</td>\n",
        "      <td> String Quartet No. 34 in B-Flat Major, Op. 33,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td> 302</td>\n",
        "      <td>      Coull Quartet</td>\n",
        "      <td> spotify:track:6LT96I1pGLaxBMgSGQYDYf</td>\n",
        "      <td> String Quartet in B Flat Major, Op. 33 No. 4: ...</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>5 rows \u00d7 4 columns</p>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 168,
       "text": [
        "   duration               group                                  href  \\\n",
        "0       263     Apponyi Quartet  spotify:track:2HQyed6DKNUFCu4QjQf4WC   \n",
        "1       289  Buchberger Quartet  spotify:track:6kNBDD9jqd0pjNWTeByery   \n",
        "2       298     Borodin Quartet  spotify:track:1bKXLqRYwv1HnjJ2tmu3po   \n",
        "3       298      Kodaly Quartet  spotify:track:42ZB7AiDtgJt7wwfphwe25   \n",
        "4       302       Coull Quartet  spotify:track:6LT96I1pGLaxBMgSGQYDYf   \n",
        "\n",
        "                                                name  \n",
        "0  String Quartet No. 34 in B-Flat Major, Op. 33,...  \n",
        "1  String Quartet in B-Flat Major, Op. 33 No. 4, ...  \n",
        "2  String Quartet in B Flat, Op. 33, No. 4: IV. F...  \n",
        "3  String Quartet No. 34 in B-Flat Major, Op. 33,...  \n",
        "4  String Quartet in B Flat Major, Op. 33 No. 4: ...  \n",
        "\n",
        "[5 rows x 4 columns]"
       ]
      }
     ],
     "prompt_number": 168
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# we can make it playable!\n",
      "for i in range(len(df)):\n",
      "    spotify_embed(df.href[i])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<iframe src=\"https://embed.spotify.com/?uri=spotify:track:2HQyed6DKNUFCu4QjQf4WC\" width=\"300\" height=\"80\" frameborder=\"0\" allowtransparency=\"true\"></iframe>"
       ],
       "metadata": {},
       "output_type": "display_data",
       "text": [
        "<IPython.core.display.HTML at 0x10c316710>"
       ]
      },
      {
       "html": [
        "<iframe src=\"https://embed.spotify.com/?uri=spotify:track:6kNBDD9jqd0pjNWTeByery\" width=\"300\" height=\"80\" frameborder=\"0\" allowtransparency=\"true\"></iframe>"
       ],
       "metadata": {},
       "output_type": "display_data",
       "text": [
        "<IPython.core.display.HTML at 0x10c316a10>"
       ]
      },
      {
       "html": [
        "<iframe src=\"https://embed.spotify.com/?uri=spotify:track:1bKXLqRYwv1HnjJ2tmu3po\" width=\"300\" height=\"80\" frameborder=\"0\" allowtransparency=\"true\"></iframe>"
       ],
       "metadata": {},
       "output_type": "display_data",
       "text": [
        "<IPython.core.display.HTML at 0x10c316210>"
       ]
      },
      {
       "html": [
        "<iframe src=\"https://embed.spotify.com/?uri=spotify:track:42ZB7AiDtgJt7wwfphwe25\" width=\"300\" height=\"80\" frameborder=\"0\" allowtransparency=\"true\"></iframe>"
       ],
       "metadata": {},
       "output_type": "display_data",
       "text": [
        "<IPython.core.display.HTML at 0x10c2d0390>"
       ]
      },
      {
       "html": [
        "<iframe src=\"https://embed.spotify.com/?uri=spotify:track:6LT96I1pGLaxBMgSGQYDYf\" width=\"300\" height=\"80\" frameborder=\"0\" allowtransparency=\"true\"></iframe>"
       ],
       "metadata": {},
       "output_type": "display_data",
       "text": [
        "<IPython.core.display.HTML at 0x10be31c10>"
       ]
      }
     ],
     "prompt_number": 240
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# extract more data about the tracks from echonest\n",
      "# pull the track objects and store it so we don't keep calling the api\n",
      "tracks = dict()\n",
      "for href in df.href:\n",
      "    tracks[href] = get_echo_track(href)\n",
      "    try:\n",
      "        tracks[href].get_analysis()\n",
      "    except:\n",
      "        pass\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 170
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "tracks"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 171,
       "text": [
        "{u'spotify:track:1bKXLqRYwv1HnjJ2tmu3po': <track - String Quartet in B Flat, Op. 33, No. 4: IV. Finale. Presto>,\n",
        " u'spotify:track:2HQyed6DKNUFCu4QjQf4WC': <track - String Quartet No. 34 in B flat major, Op. 33, No. 4, Hob.III:40: IV. Finale: Presto>,\n",
        " u'spotify:track:42ZB7AiDtgJt7wwfphwe25': <track - String Quartet No. 34 in B flat major, Op. 33, No. 4, Hob.III:40: IV. Finale: Presto>,\n",
        " u'spotify:track:6LT96I1pGLaxBMgSGQYDYf': <track - String Quartet in B Flat Major, Op. 33 No. 4: IV. Presto>,\n",
        " u'spotify:track:6kNBDD9jqd0pjNWTeByery': <track - String Quartet in B-Flat Major, Op. 33 No. 4, Hob III:40: IV. Presto>}"
       ]
      }
     ],
     "prompt_number": 171
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "attr = [\n",
      "    'tempo',\n",
      "    'danceability',\n",
      "    'energy',\n",
      "    'valence',\n",
      "    'duration',\n",
      "    'key',\n",
      "    'mode']\n",
      "\n",
      "def track_dict(track):\n",
      "    d = dict()\n",
      "    for a in attr:\n",
      "        try:\n",
      "            d[a] = getattr(track, a)\n",
      "        except:\n",
      "            pass\n",
      "    if 'key' in d and 'mode' in d:\n",
      "        d['full_key'] = to_pitch(d['key'], d['mode'])\n",
      "    return d\n",
      "\n",
      "out = [track_dict(tracks[href]) for href in df.href]\n",
      "pd.concat([df, pd.DataFrame(out)], axis=1)\n",
      "\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>duration</th>\n",
        "      <th>group</th>\n",
        "      <th>href</th>\n",
        "      <th>name</th>\n",
        "      <th>danceability</th>\n",
        "      <th>duration</th>\n",
        "      <th>energy</th>\n",
        "      <th>full_key</th>\n",
        "      <th>key</th>\n",
        "      <th>mode</th>\n",
        "      <th>tempo</th>\n",
        "      <th>valence</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td> 263</td>\n",
        "      <td>    Apponyi Quartet</td>\n",
        "      <td> spotify:track:2HQyed6DKNUFCu4QjQf4WC</td>\n",
        "      <td> String Quartet No. 34 in B-Flat Major, Op. 33,...</td>\n",
        "      <td> 0.425741</td>\n",
        "      <td> 263.20499</td>\n",
        "      <td> 0.178182</td>\n",
        "      <td>  A major</td>\n",
        "      <td>  9</td>\n",
        "      <td>  1</td>\n",
        "      <td> 151.592</td>\n",
        "      <td> 0.533227</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td> 289</td>\n",
        "      <td> Buchberger Quartet</td>\n",
        "      <td> spotify:track:6kNBDD9jqd0pjNWTeByery</td>\n",
        "      <td> String Quartet in B-Flat Major, Op. 33 No. 4, ...</td>\n",
        "      <td>      NaN</td>\n",
        "      <td>       NaN</td>\n",
        "      <td>      NaN</td>\n",
        "      <td>      NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>     NaN</td>\n",
        "      <td>      NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td> 298</td>\n",
        "      <td>    Borodin Quartet</td>\n",
        "      <td> spotify:track:1bKXLqRYwv1HnjJ2tmu3po</td>\n",
        "      <td> String Quartet in B Flat, Op. 33, No. 4: IV. F...</td>\n",
        "      <td> 0.523269</td>\n",
        "      <td> 298.42676</td>\n",
        "      <td> 0.261447</td>\n",
        "      <td> Bb major</td>\n",
        "      <td> 10</td>\n",
        "      <td>  1</td>\n",
        "      <td> 137.749</td>\n",
        "      <td> 0.580261</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td> 298</td>\n",
        "      <td>     Kodaly Quartet</td>\n",
        "      <td> spotify:track:42ZB7AiDtgJt7wwfphwe25</td>\n",
        "      <td> String Quartet No. 34 in B-Flat Major, Op. 33,...</td>\n",
        "      <td> 0.477026</td>\n",
        "      <td> 298.68798</td>\n",
        "      <td> 0.135259</td>\n",
        "      <td> Bb major</td>\n",
        "      <td> 10</td>\n",
        "      <td>  1</td>\n",
        "      <td> 130.795</td>\n",
        "      <td> 0.514060</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td> 302</td>\n",
        "      <td>      Coull Quartet</td>\n",
        "      <td> spotify:track:6LT96I1pGLaxBMgSGQYDYf</td>\n",
        "      <td> String Quartet in B Flat Major, Op. 33 No. 4: ...</td>\n",
        "      <td> 0.475963</td>\n",
        "      <td> 302.62667</td>\n",
        "      <td> 0.137491</td>\n",
        "      <td> Bb major</td>\n",
        "      <td> 10</td>\n",
        "      <td>  1</td>\n",
        "      <td> 130.443</td>\n",
        "      <td> 0.584327</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>5 rows \u00d7 12 columns</p>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 24,
       "text": [
        "   duration               group                                  href  \\\n",
        "0       263     Apponyi Quartet  spotify:track:2HQyed6DKNUFCu4QjQf4WC   \n",
        "1       289  Buchberger Quartet  spotify:track:6kNBDD9jqd0pjNWTeByery   \n",
        "2       298     Borodin Quartet  spotify:track:1bKXLqRYwv1HnjJ2tmu3po   \n",
        "3       298      Kodaly Quartet  spotify:track:42ZB7AiDtgJt7wwfphwe25   \n",
        "4       302       Coull Quartet  spotify:track:6LT96I1pGLaxBMgSGQYDYf   \n",
        "\n",
        "                                                name  danceability   duration  \\\n",
        "0  String Quartet No. 34 in B-Flat Major, Op. 33,...      0.425741  263.20499   \n",
        "1  String Quartet in B-Flat Major, Op. 33 No. 4, ...           NaN        NaN   \n",
        "2  String Quartet in B Flat, Op. 33, No. 4: IV. F...      0.523269  298.42676   \n",
        "3  String Quartet No. 34 in B-Flat Major, Op. 33,...      0.477026  298.68798   \n",
        "4  String Quartet in B Flat Major, Op. 33 No. 4: ...      0.475963  302.62667   \n",
        "\n",
        "     energy  full_key  key  mode    tempo   valence  \n",
        "0  0.178182   A major    9     1  151.592  0.533227  \n",
        "1       NaN       NaN  NaN   NaN      NaN       NaN  \n",
        "2  0.261447  Bb major   10     1  137.749  0.580261  \n",
        "3  0.135259  Bb major   10     1  130.795  0.514060  \n",
        "4  0.137491  Bb major   10     1  130.443  0.584327  \n",
        "\n",
        "[5 rows x 12 columns]"
       ]
      }
     ],
     "prompt_number": 24
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# let's pick graveyard\n",
      "graveyard_df = parse_tracks(search('haydn op 76 no 5 Cantabile e mesto'))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 306
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "graveyard_df"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>duration</th>\n",
        "      <th>group</th>\n",
        "      <th>href</th>\n",
        "      <th>name</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0 </th>\n",
        "      <td> 282</td>\n",
        "      <td>           Jean-Pierre Rampal</td>\n",
        "      <td> spotify:track:2dBnEKtXibdZWxFqijo0MG</td>\n",
        "      <td> Duet No. 4 for two Flutes (Arrangement of the ...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1 </th>\n",
        "      <td> 346</td>\n",
        "      <td>              Quartetto Modus</td>\n",
        "      <td> spotify:track:456f08smqWihzv4CqcktfE</td>\n",
        "      <td> Quartetto in Re maggiore, Op. 76, No. 5: Largo...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2 </th>\n",
        "      <td> 366</td>\n",
        "      <td> The McFarlane String Quartet</td>\n",
        "      <td> spotify:track:3mRTuobCGKL7UBUtlVmVfX</td>\n",
        "      <td> String Quartet in D, Op. 76 No. 5: II. Largo m...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3 </th>\n",
        "      <td> 385</td>\n",
        "      <td>              Panocha Quartet</td>\n",
        "      <td> spotify:track:5OrAZAcCqopcsdSQG9IwnO</td>\n",
        "      <td> String Quartet in D major, Op. 76, No. 5: II. ...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4 </th>\n",
        "      <td> 387</td>\n",
        "      <td>              Minetti Quartet</td>\n",
        "      <td> spotify:track:6RroGAbkVZHD1Pi0kk7X6E</td>\n",
        "      <td> String Quartet No. 64 in D Major, Op. 76, No. ...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5 </th>\n",
        "      <td> 396</td>\n",
        "      <td>           Engeg\u00e5rdkvartetten</td>\n",
        "      <td> spotify:track:3nuxzbNktJKVGr8YQFm66V</td>\n",
        "      <td> Haydn String Quartet In D, Op. 76, No. 5 - Lar...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6 </th>\n",
        "      <td> 397</td>\n",
        "      <td>             Vanbrugh Quartet</td>\n",
        "      <td> spotify:track:3cap9GgTyEk3MpzhCcJabN</td>\n",
        "      <td> String Quartet No. 64 in D Major, Op. 76, No. ...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7 </th>\n",
        "      <td> 404</td>\n",
        "      <td>                Melos Quartet</td>\n",
        "      <td> spotify:track:4X3hBnYGEkrOfI74YcYNu2</td>\n",
        "      <td> String Quartet No. 64 in D Major, Op. 76, No. ...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>8 </th>\n",
        "      <td> 415</td>\n",
        "      <td>           Buchberger Quartet</td>\n",
        "      <td> spotify:track:7n8UPyW4lRAHFdhX8p4I9E</td>\n",
        "      <td> String Quartet in D Major, Op. 76 No. 5: II. L...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9 </th>\n",
        "      <td> 418</td>\n",
        "      <td>             Alberini Quartet</td>\n",
        "      <td> spotify:track:1JHCc9hcKuTi2dcWMkQgvY</td>\n",
        "      <td> String Quartet No. 64 in D Major, Op. 76, No. ...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>10</th>\n",
        "      <td> 418</td>\n",
        "      <td>              Alberni Quartet</td>\n",
        "      <td> spotify:track:0sQuHlW2t4fOBqioFYRWqP</td>\n",
        "      <td> String Quartet No. 64 in D Major, Op. 76, No. ...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>11</th>\n",
        "      <td> 439</td>\n",
        "      <td>      Old City String Quartet</td>\n",
        "      <td> spotify:track:51sBj9ChFQSVaN2w3tcmV3</td>\n",
        "      <td> String Quartet No. 64 in D Major, Op. 76, No. ...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>12</th>\n",
        "      <td> 448</td>\n",
        "      <td>          The Wilan\u00f3w Quartet</td>\n",
        "      <td> spotify:track:6txSWrLNirFph8Q1I4QbZu</td>\n",
        "      <td> String Quartet No. 64 in D Major, Op. 76, No. ...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>13</th>\n",
        "      <td> 452</td>\n",
        "      <td>            Cassoviae Quartet</td>\n",
        "      <td> spotify:track:34huXY5BPqFchqtawTMrXo</td>\n",
        "      <td> String Quartet in D Major, Op. 76, No. 5: II. ...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>14</th>\n",
        "      <td> 452</td>\n",
        "      <td>     Juilliard String Quartet</td>\n",
        "      <td> spotify:track:3NZDNkbbqtk9nYkyTTvbij</td>\n",
        "      <td> Die Sieben letzten Worte unseres Erl\u00f6sers am K...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>15</th>\n",
        "      <td> 452</td>\n",
        "      <td>          Quartetto Cassoviae</td>\n",
        "      <td> spotify:track:6dgh1cTcGPL7BHrHoyeCOX</td>\n",
        "      <td> Quartetto d'Archi No. 5 in D Major, Op. 76: II...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>16</th>\n",
        "      <td> 465</td>\n",
        "      <td>                         None</td>\n",
        "      <td> spotify:track:3TFXRjgHpjAzE7nBaZ5S7S</td>\n",
        "      <td> String Quartet in D Major, Op. 76 No. 5 : II. ...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>17</th>\n",
        "      <td> 483</td>\n",
        "      <td>      Budapest String Quartet</td>\n",
        "      <td> spotify:track:07N0QCcpieyykjOM2ocyyr</td>\n",
        "      <td> String Quartet in D Major, Op. 76, No. 5 (Hob....</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>18</th>\n",
        "      <td> 490</td>\n",
        "      <td>      Budapest String Quartet</td>\n",
        "      <td> spotify:track:2dYNUJo2AdzLm1SFDxCDuT</td>\n",
        "      <td> Quartet in D Major, Op. 76, No. 5: II. Largo: ...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>19</th>\n",
        "      <td> 496</td>\n",
        "      <td>               Kodaly Quartet</td>\n",
        "      <td> spotify:track:0iB6SH6aFpZ8IPrZ7psMo5</td>\n",
        "      <td> String Quartet No. 64 in D Major, Op. 76, No. ...</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>20 rows \u00d7 4 columns</p>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 307,
       "text": [
        "    duration                         group  \\\n",
        "0        282            Jean-Pierre Rampal   \n",
        "1        346               Quartetto Modus   \n",
        "2        366  The McFarlane String Quartet   \n",
        "3        385               Panocha Quartet   \n",
        "4        387               Minetti Quartet   \n",
        "5        396            Engeg\u00e5rdkvartetten   \n",
        "6        397              Vanbrugh Quartet   \n",
        "7        404                 Melos Quartet   \n",
        "8        415            Buchberger Quartet   \n",
        "9        418              Alberini Quartet   \n",
        "10       418               Alberni Quartet   \n",
        "11       439       Old City String Quartet   \n",
        "12       448           The Wilan\u00f3w Quartet   \n",
        "13       452             Cassoviae Quartet   \n",
        "14       452      Juilliard String Quartet   \n",
        "15       452           Quartetto Cassoviae   \n",
        "16       465                          None   \n",
        "17       483       Budapest String Quartet   \n",
        "18       490       Budapest String Quartet   \n",
        "19       496                Kodaly Quartet   \n",
        "\n",
        "                                    href  \\\n",
        "0   spotify:track:2dBnEKtXibdZWxFqijo0MG   \n",
        "1   spotify:track:456f08smqWihzv4CqcktfE   \n",
        "2   spotify:track:3mRTuobCGKL7UBUtlVmVfX   \n",
        "3   spotify:track:5OrAZAcCqopcsdSQG9IwnO   \n",
        "4   spotify:track:6RroGAbkVZHD1Pi0kk7X6E   \n",
        "5   spotify:track:3nuxzbNktJKVGr8YQFm66V   \n",
        "6   spotify:track:3cap9GgTyEk3MpzhCcJabN   \n",
        "7   spotify:track:4X3hBnYGEkrOfI74YcYNu2   \n",
        "8   spotify:track:7n8UPyW4lRAHFdhX8p4I9E   \n",
        "9   spotify:track:1JHCc9hcKuTi2dcWMkQgvY   \n",
        "10  spotify:track:0sQuHlW2t4fOBqioFYRWqP   \n",
        "11  spotify:track:51sBj9ChFQSVaN2w3tcmV3   \n",
        "12  spotify:track:6txSWrLNirFph8Q1I4QbZu   \n",
        "13  spotify:track:34huXY5BPqFchqtawTMrXo   \n",
        "14  spotify:track:3NZDNkbbqtk9nYkyTTvbij   \n",
        "15  spotify:track:6dgh1cTcGPL7BHrHoyeCOX   \n",
        "16  spotify:track:3TFXRjgHpjAzE7nBaZ5S7S   \n",
        "17  spotify:track:07N0QCcpieyykjOM2ocyyr   \n",
        "18  spotify:track:2dYNUJo2AdzLm1SFDxCDuT   \n",
        "19  spotify:track:0iB6SH6aFpZ8IPrZ7psMo5   \n",
        "\n",
        "                                                 name  \n",
        "0   Duet No. 4 for two Flutes (Arrangement of the ...  \n",
        "1   Quartetto in Re maggiore, Op. 76, No. 5: Largo...  \n",
        "2   String Quartet in D, Op. 76 No. 5: II. Largo m...  \n",
        "3   String Quartet in D major, Op. 76, No. 5: II. ...  \n",
        "4   String Quartet No. 64 in D Major, Op. 76, No. ...  \n",
        "5   Haydn String Quartet In D, Op. 76, No. 5 - Lar...  \n",
        "6   String Quartet No. 64 in D Major, Op. 76, No. ...  \n",
        "7   String Quartet No. 64 in D Major, Op. 76, No. ...  \n",
        "8   String Quartet in D Major, Op. 76 No. 5: II. L...  \n",
        "9   String Quartet No. 64 in D Major, Op. 76, No. ...  \n",
        "10  String Quartet No. 64 in D Major, Op. 76, No. ...  \n",
        "11  String Quartet No. 64 in D Major, Op. 76, No. ...  \n",
        "12  String Quartet No. 64 in D Major, Op. 76, No. ...  \n",
        "13  String Quartet in D Major, Op. 76, No. 5: II. ...  \n",
        "14  Die Sieben letzten Worte unseres Erl\u00f6sers am K...  \n",
        "15  Quartetto d'Archi No. 5 in D Major, Op. 76: II...  \n",
        "16  String Quartet in D Major, Op. 76 No. 5 : II. ...  \n",
        "17  String Quartet in D Major, Op. 76, No. 5 (Hob....  \n",
        "18  Quartet in D Major, Op. 76, No. 5: II. Largo: ...  \n",
        "19  String Quartet No. 64 in D Major, Op. 76, No. ...  \n",
        "\n",
        "[20 rows x 4 columns]"
       ]
      }
     ],
     "prompt_number": 307
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "(graveyard_df.duration / 60.0).hist(bins=20);\n",
      "title('Performance times of Haydn Op. 76 no. 5 III');\n",
      "xlabel('minutes')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 325,
       "text": [
        "<matplotlib.text.Text at 0x1083f7c50>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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AAIABCHUAAAAGINQBAAAYgFAHAABgAJehLjs7W0lJSYqPj1dycrI2b95c47iN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\nsUs85y6//HK9+OKL6t+/v3x9fdW9e3e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       "text": [
        "<matplotlib.figure.Figure at 0x108413710>"
       ]
      }
     ],
     "prompt_number": 325
    }
   ],
   "metadata": {}
  }
 ]
}