{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"# GISLR Dataset Player\n\nThis notebook provides **interactive** player of the competition data. Choose:\n\n1. sign\n2. participant\n3. recording\n\n... and then click ▶ to play.\n\nThe visualization is based on the [\"Interactive 3D Animated Visualization of ASL\" by Joseph Zahar](https://www.kaggle.com/code/josephzahar/interactive-3d-animated-visualization-of-asl).","metadata":{}},{"cell_type":"markdown","source":"![player.png](attachment:77cb730f-580f-400b-b059-d00c708c2559.png)","metadata":{},"attachments":{"77cb730f-580f-400b-b059-d00c708c2559.png":{"image/png":"iVBORw0KGgoAAAANSUhEUgAABtoAAAYWCAYAAAAtUn1tAAAABHNCSVQICAgIfAhkiAAAABl0RVh0U29mdHdhcmUAZ25vbWUtc2NyZWVuc2hvdO8Dvz4AACAASURBVHic7N1/cFTnne/594x168il1B5iTbUovKVOmKUx3ksT5dL8qERt5caNWIcGZixZM0bA2iPrjiOQf0joJiMUjyMUeyQ0dhAKmbaGXEAkERKJcTOzhvbc4CYpA02F0GyF0NSQbeqGQb2Di7NlrfvUyDv7hyTULfSLBiHJ+bz+opvTp59zzvecbp1PP8/zB5/97Gf/HRERERERERERERERERG5I3843Q0QERERERERERERERERmY0UtImIiIiIiIiIiIiIiIhkQEGbiIiIiIiIiIiIiIiISAYUtImIiIiIiIiIiIiIiIhkQEGbiIiIiIiIiIiIiIiISAYUtImIiIiIiIiIiIiIiIhkQEGbiIiIiIiIiIiIiIiISAYUtImIiIiIiIiIiIiIiIhkQEGbiIiIiIiIiIiIiIiISAYUtImIiIiIiIiIiIiIiIhkQEGbiIiIiIiIiIiIiIiISAYUtImIiIiIiIiIiIiIiIhkQEGbiIiIiIiIiIiIiIiISAYUtImIiIiIiIiIiIiIiIhkQEGbiIiIiIiIiIiIiIiISAYUtImIiIiIiIiIiIiIiIhkQEGbiIiIiIiIiIiIiIiISAYUtImIiIiIiIiIiIiIiIhkQEGbiIiIiIiIiIiIiIiISAayprsBIiIis5LppaqhhIWDn6TJeJCdb4RITG+rRERERERERERE5D5S0CZ3zJjnxv2oE2eeyZwcE+MBG9tOcvNGL4krMc5fjGP1T3crBxkOXI8+gjPfQV7uHLINA+MTG7vvJr03Elz/598QvZzAnu52isjsYy5m7aZyPEOfpOfidLSFSMyU65+IiIiIiIiIiIhMOQVtMgkmrjXlbFznw1e4HJfDGH9x2yJ+4QyhUDfd+4JEEncWYxmP7+LUD0qZO1Sdsd2s/WoTkcnevHa4KdlcQenqQpYtdmJOVOV9CaKR44QOH+CtngiTaa5z6zFO/ZX71mPraCVLngveu8BuaSOnflqBM5MztD9Jsu8mvb0J4rHznDkZIngkRMy6V40byaB8/29o8WVPom2QTCax+3q5nrhO/J9jxKJnOPleiPDlKWug/F64gzpMNXS+/C5BPHaGMz8P0fN2mHjf1LRSREREREREREREPl0UtMk4DFzramn8qwp8C8w7eJmJc6mPiqU+KqrjhPc3UfedHmKTvXGdBQ/mGNyK87Ine+PcgfelFppf9uPKmXxzyXHgLirHXVTOlpeC7HipmvaT44c+RhYYxnDgaGZNED7eISPLwEjdB3f0YgMjx8R0OHEt9uB7soL6pjih/U00faeH6FQECNkmxmQaa4CRY0CuiSPfhXupF8oqqGkC62KI7s4O2veGiM+4LoYGjkULmZsFSStO7KpCwUyZ+S6cZjYkr3PpXvcmnWwdpko9Xwo8+MqqqP/rGMG9DXzrb2diLYqIiIiIiIiIiMhM8ofT3QCZoXLcVLz1Pu//oGbckM3us7Htce5E5zjxPh/g/eO7KJk/Be0ckuWi/AfH6GoYJWSzLRKXo0ROhQmfCBM+GSFyIUbCur3dxnw/jT88RvNqxxQ2dhrkOPE9H+DYVB+Hu2Au8lHR1MWp02/TuM6VWcg4VeZVEPjvJzjx/gne3+GbWW2bTbLcbPnRKU68f4ITP92Od6buyFwX/m1dnAjW4/uUXQpERERERERERETk3lKPNrmd6aHmR4eoXzEyYLOInwjS826Ikx9EOR+LcyuryjJxLHCx3OOlcLWf0sfdaUM2GovKaTuUDWsr6bl2rxts4NkWoGWdMyUAsUmc7KZtbwfd70bHGA7SwLnCT8nmLWx5MqW9OS4q3mwhumoznVfvdVszdCNM6/ZOLk1i0WxjDubDLpYULMNb6CZ1pE9jUTltP0piPVFH6MaUtZbYwTp2/vzmaK0jO8ckL28uzvkuFhYswzM/vc6MfC9VPzhGYaCazduDxGfAfFeGZwlLZmooNJuYy/Dcx6B37Doclm3MIc85UIvelenni7m0hkBnknX+VqLq2SYiIiIiIiIiIiKjUNAm6bJcVOw5cFvIZp3rpKG2gc5zYwyZ12+RuBgheDFCcH8rDQv8bN/ZQlXhcHcQY34JLXvOE32yndi9DE/mlVJb6U4J2SwiLZt56rUw4w/wZxM/1UPrqR563t1F1/fLcQ2txOGn5mUf3S+G7u3Qdpnqu8rJt3sI32ljHF6q/qaZ7Sk9xIwFFTRvO8qKb4SnbNuuX3iHnq7EpJY1F/sp/4stbC3zpIQcJu7KAF05lZRtDRKfonZOlvuLbu5g8FQZg+Fx88h9DCzvpA4BjHletrz+XWrXDIf25tJaWr4epPiN2NQ0UkRERERERERERGY1DR0paVzPt1GfNmyiTfxwNcVPVI8dso3Cvhyk4cliKg/G0sIcs7CWxk3Oe9ZeAMfqErwpKYh9djdbWyYK2dLFj1Sz6TuRtLY611VQOtuHjUuEaX9mLZVd6VGVs+wv8OdOU5tGsC4EaX+xmCWrqum8kHoEDFwbdhF4yT3NQzU6WPKFe1uzv68WFriZyaeUfS1M67Pr2XY0NZwz8GzeMnOHuRQREREREREREZFppR5tMmxeOY3VnrSeO9bJHZRt6SSWSden/jg9tZXk/fERGm/1kMtmyeM+nPs77tGQgAaPuB9JC2Ki/0dPRj3mYnt30l3VRflDFonfxvnNpTjkApPvEDNDJQg2thNa04xvaP4608uqlQY9R2dEfz0A7AudVK+9RG/3IWqWDtWLieflFra8V0zrhTtYmeHAVbAE9x87yXvIIDsLkn02vb0xYudOE716B9ttLGfZo3ebshg4Fi9n+aP55D1kYmZnk0xaWB/2cvXXpzl9IXFXvQuNeS7cjy7EmWeSbWRDf5Lkh1eJX/oN0ct3ue5cF26Pm4X5eZg52ZC0sBJxLkXPEL1s3cG6TdwFC++iJfdJf5zOxrfY6KvHM3TY8wtZs8wgfPJeni9TWxNT6d7VxHhv4sD9FS/LPp+HYfcS+yBE6OKd/HxCRERERERERETk/lDQJre4/6ICX2ovJytMU217ZiHbEDtK+3/dyZKGJfT+7DjvHAsSuXJvbx87zPQQ5OaN8edkGlNfiIZVBTT0psw992lx7R3CF5rxrRh6wsS5YC5M+6CMI1gRmv73bbiOB/DPG3wux8OWl0voeKZngl6KBs6ijVRVlrP2K+lzbaWzsS6G6d7Xzs69YRKjhbKGh+ZfHKNilPnEjDUB/uXDwPAT1zop+0/VhEapGWOBny3Vf0Hp6uW4cscO6+xElONdHbT+bSfRyWYJuR7Kv/4cG9f5bpvnLm3dN2Kcfi9I5/d203Nhsis3cT+5hS3/pQT/UueYPQrtqxGCXW+x+3s9Y7TbwP/Wb9j35Cjtm1dO17+UDz/uj9FavIKmc5Ns4lT6bZDjv67HUzD0hBPXIhNO3n3qfs9qwiwhcDZAydA1uz9K61eLaLqTQDrLTf0/naBm8dATCXo2LaFy1AD+XtVEyho3dfHbN32Djyx6nnmEyiM2jsfrCby5Be+84XeJ713PitqpG+5WREREREREREQkUxo6UgYYXsrXudOeinf9LQcu34N1X2in8qlKGvb03POQDcD6KH2dzj92Zb6uq5/CkA0Ai97e9Lve5mdm6Kxj13r4VnMoLVQzVz9H+Sih1y1ZTkrePMaJnzRTsXq8kA3AwFzko+L1twkfrsc7JUNoGrifDXDqv++jfoN33EAFwHC48W/dxbH3u6gqmLj3nKOonrd/cYxdL5WMG7LBQO8jb1kNgeOn6XrJM/Fccw4v9T85zbG3aigZJ1ABMPI9lGwLcOz9LmoKZ2g9ZaI/TnxEr8c5eXPvcqX3uCasIJ3/kBKUZ7kp2eC5s2FWF/nxLUp5fPUdOkdLjKeoJpI2KcFZNuZngEVVBN6qSQvZREREREREREREZjL1aJMBi31481Me90fpOTgbeg/YxK7EIWXmJ9eTWyj5u830XJu+Vs082WTnZKc9k0wmp6ktE4t3tRN82Uf5UE0abtZ+zUl722g98Ex8r3fRtsmVFgDY16KcjkSJ9VrYnxgYD+Wx5ItePAuGb/47CmvY91YvxU91pA83+olNPBYlZmeDkYdzvjm8bitO7NrwmZHsjTOyD6XjyTYOvV6CI/UKa8WJRKJcutqLZdsYOXk4H/Ww7AtOzMHljHwfjQfa6F1VOXb9Lq7iwA9q8KRmGHaC2LnzXIr3DgTFhknePCdLvujGMTRcqOHA13CIgFVM2d7Y6OvO9dH80/1ULErbk8TPhTkZidF74yZ8Jg/nomV4Vw6v28j3Ub//ENl/vpamU+lXDevqeaIX55KNQd6C4W2l3yJ+uXf4GtN/id6PxtjmaWCThJSKyh570Um59zVhE+48SuzpKlyDyzrXbMT7SmTU3pWjca/3405pT+xIJ+GRr52CmrglmUzZywaGMZeSutq0OTdFRERERERERERmOgVtAoDDs/jWzVoAfnuS4xenrTl3JH70OJE6z/B8SvP8tP00wJyqbXSc1Zw+ABhLcLtG3Ci/OsOGjUxln6bnvTjlzzoHnzBwryzEbIvfNnyksaKWxrSQLUG4sZLKttGGhTRwb2gjsLOEod1hFtVTv66bzYdT1twfpf3pItoBo7CZU0cqGGqJfbKJxzb1jB1Cmz62v5oaqNjEjzSw+cWOUYfSM5dWEehoxDcUKs4rof7lToKjDpNnUrKtNiVkG1h3ZW0HkRujtCXHhf/lZlq2egfbY+Krq6fkyGZ6blveSfkbbemBytUQTS9upfXE7UMmGvO8bHkzQP3jgyG36aHmu42c/M91hPuG2xduXE9RI2D4Cfyf+4aHOkwEqfvPow+5Of1M8h5KT3usf71+F6ubopr41QG6f1VB/dLBYzZvFaWrTUJHJnHdy3JTujql968dpbszOmKhqaiJFJ+kH/wH/7iC51abgEW0aze7u0JEr1rYhgNHf2wW/PBDRERERERERER+H2noSAEMljz6SNozVvQM0dHmrpqJLnewuyc9NDIWlND8j7/i1A+bqSnz4vw97yFhrilnbWqPRfs0Zz6YybetbU5HommhmuFys+S20eQMvBtK00LixOFtbH5jjLnXsIke3Erl91IDBZNVZf6UPpF3x1xTMTy/HMCVA7ywZfRABcA6205lbWfabHnONeWsyhll4Rwf/tTh+K4c4IW/HCNkA+iLEWws46mWyHBI4VhF6dduPyHM1TVsX5OyFxIhqv+0bNRABcC+FqZ141M0nEzZsAUbqa/MfOjWGcP0Uvho6hMJLl3MPLSfsproj3Hgx6dTAigHvjL/xMODAnyhFN+C4Yf2mU56RgwVfD9qIvUq5PzaGjyGRegbxRQ/30rPiSixK3HiFyNELutHEyIiIiIiIiIiMjMpaBMgG+fD6bdm41fis6j3gEVw+wu0juy9lmXiWl1B/Z63OXf5t5z7py4CTTVUrJt4fqRPE2NRBYGmkrQgyfpZD91Xp61Jk2L/OkZvaliW5yR/ZB/cLCeu3I9J3LAH6zXB8cPHb+v1NmLNRA8GiaSs23AvGyXEy4SBK38ONxMW9uD6Y8e6R+/Nk8I6cYCjqSHHQ26WLRplwXlOnClhi3XhDKcnPFFtooGd7D4SpHNvO62vNNB5buQyDkorS1NqxCL0na10Xplo1VHa/zp12E0Dz59txDPL+0q7Nj3HqtS5+xJhQpFMr4hTWxOJw50cTwlazcISSufdvtxInj/xpQTUFuFD75D+c4X7UBP96cPXOvKdWO81URdQ7zUREREREREREZk9ZvntULknsvIwzfSU4eaNGTys4GisME1/so7467toLHMPzwM1JMvEWeDDWeCj5HkAm8TlKOfPnCH88xBHj4aJT3Dje9YxXfifraWmugR3ao7aF2H3a52M3idlBrnWy3XgVl8YYw5mLpB6nPpjtD9dQDtAloHpMOHGJG7R/y7KpQR4hgKJh/Jxfgbu/u6+TeS1YgpeG2yyw4lpT+Jc6o9y/p9tWDB4Hmblkf+wAWfHb1D2Q3nMBSZ8BytE0zOhsf9/3lrWrEy5BiSCdByeZIWc6+TA2S00rhh8/ed9rF3cQOS2MG92cKxpJlDnSZvvL9b1Fsczvj5McU1YQTr/IYF/02AklrOc0jIXHW+MMQ8fgOGhtDill9mNEJ1HRxzvaamJBMH9ByauZxERERERERERkRlEQZsA2WRnpz62sfuSYy08c/VF6dxaRHBvOVuqK9i42o1jzF5KBo4FHnwLPPg2VNG4M0HkvW4O/F0bnadmYASVW0j9D7qomsyyWQZzHnbiWuC8PXDsj9NTW0nrhSlo472WTGJ/QspVyiB7vF5n/TbWtUkeu09uYqUFJw9iTEEnRzsRn3SgaVsW3Oo/NPKcHHQtTryPW8GpsbKCb28IUXnw7noAGSsL03r02WfCE/a4Ghbn5AdxWDEY3GQ5WbbCAedm4Hk0lhwH7pWr8G+ooOJrI4L6K500/G3knvWwuuc1gU2os5vY01WDPdQMPOtLcbc1jTn8r7GsFN/84ceJf+jm+IhuoNNSE9Zpwj9TXzYREREREREREZldFLTJ6B64g2XnV3HsF4147iCosA5v5pHnglMyPJh1rpOmZzppMl141/hZ83ghXs9yXPPGaWCOA8+6KjzrKqg5upO6b7QSujYFjctUjhPPauddrcK+FqbjGy/QcHSW9BfJysZIq8N7WC2jlcJ0Xg2zgJGhyGjt6QvR824Cf9lg+JLlxN/2Pu9/7QAHurrpfjdCIoPdtNDlTJvXK/7bOwvuLsUuYeMa3K0GzoVLMAhN+/B/y78Z5jcvT7DQAyZmrjFqSZAI0fDMNkLTMT3YZGsC4FcH6L5QQX3B4FYsLqF86U7qTo12BAyWr/MxfDWJ0/3j8G3Halpq4kqM6HQXjYiIiIiIiIiIyB1S0CaARTKtp4KBkWPCpPtdZN9ZMAf3p/KsGOGDrYQPtgJgzvfg/bKXZZ5lLFu2BPcCxyg31w2ca+rp+uIy6v58Ex0XZvtdX5vEhTDH3+5k994gsekIDDKVa/Jg2hMfY304wWscbnxrfPg8blx/7GSuYy55OQbZ2dmQZQwEd/fzqmc48Kxey6rCZbgXuHA+bDLHnIOZnQ1ZYDxg3GF7LIKvbKPTE6B8/lD1GrhWV9C4uoLGvgSxX54mfOokZ34eIvRBHGuMXk0pjSRv3ty0Z/KK6tm3/w56tZru9Ifz8sjmnkajGTFMR9rchHcicaqdbVt2ELxyj7fintcE0B/jQNdpagu8g9c0J2v/zEvDqVGCLWM5JY+nhPYXeui+bYjS6akJuzdOfMJ6FRERERERERERmVkUtAn036T3X21Su/nM/Z+dTD5omx2sKxGCVyIE9w88NnJdLF/tZ83XSil93JU+XNw8H80djcRW1RGeCeFUX4zQ22foHXehbPILS/DmDz22ib6xluLGezfs3f1kzHfiTD0mVoLej8ZY2OGhomEHtSWecYYLvY+ynPhe+jb1lX7cufd43Ykg1X9aidXWQlXhiBgpx4Gr0I+r0E/FNrBvxIj+PER31wG6340xVimbppn+eLEP/+LMm2jMyWMOjPl+M1ZfgugHxwke3E3HkbH3V0amsiaAxOFOjm/z4h9ct2N1KavMEMGRQ0IWlrAq5RoR6ekcdYjJ6aiJpD0LhywWEREREREREZHfewraBEhy9ep1SBlMzLlgISaRyd1ovhHmrdfg+HjVlFvIc5XejHuXTAX7xnCPt4YFfrbvHBFcLNhI/aYOwm2x6WvkkBtnaK+tJjxBYmYU3eTUoYrBgMrAXbmDLUfX0npu9kVtcxcvTK+Xq5e49MntyxkLygl0t+DPHyVh60sQv3YT6yML2wb+7WM+/gTofxDnSg/OnCloeI6bqgOHaCwapdpti0RvLzetJJZtQ//HfPxvgA0PupbjGW0bRnM1SMO6MAfWVbBlcyn+L7tun4+PgTDZs86FZ10V9ReD7K7fRuuJ2wP07Hv9SfAAGKMNfXifxbrq2P3BOOHNJwBJkh9ZJK7EOH9xMj0AM3A/auJGkM53E/g3DL6Hw0f5GpPgwdSruIF33arh86ovTPfh0YeSnZaa6J991ykREREREREREREFbQLYnL8Qw8Z5q0+b4fbiNToJTua+pxWh543I+MsUZFP6rBfHDK04+3KQhqfi3PzpEepXDPXkMPCs9+Pa00pslgxnZp9o4ltdPvZtGAxNczzU/s0WQv7WWTb3kQNfYfrQc/ELkduHlTM81HaMCNn64oT2ttLx4yDhi9bovfmy3DS+f4KqRfe63Sa+pn0jAhWL6JEOdu/tHGcoRwNf23m6NtxJFG0RO9JK9ZFWqnNd+Fb78RUVsmzlctyjzEdoLvJTf8iNu7aMzfvTw+PkiJ0UO1jH7lOZ9y5K3ojSOwPOmevn3qFz/3T3zL1fNWETPthNrKwKV9bA+3qfLMVxsGO4b3KOF79veH3Wz7rpHmMuyk9rTYiIiIiIiIiIiNxrMzT2kPvNOhkmavvwDN2fd3jxfcUg+O6sSmfujh1ld3OQ8p+UD/ftm+/G/QCzJmgDi2BjE0FfAP/g/XRjaS0tXw9R/EZ0ept2J+aXUroyNSxKEHnv9G2hmaOslorFKctZEZpKn6L17ER9MTOYB2syFlRQW5Yy/xUJQrVr2bQ3NrXDd96IETrYSuhgK2BgLlqO73Effv8aVi0dDtDJcuJvClBzrojWC8MvtywLUvoPWrEQnQdH7+kkd+g+1oR99gDdF6qoLxh4bKwspXR+B+1XBh9/pZRVtw5zgtCh4Ji9llUTIiIiIiIiIiIik/OH090AmSGuHeWdtOEFHfifLZ1RQz3eD/a5KPHU3ZBjMid72pqTmUQP3/pOKOUGuoHn5RZq7nnvrali4P16xXDoC3DtON0/GxlLmKxa7SV1JqloYNskQjbggTmMmILqnnCuWZXWbvvETuomFahkk5d7rxpkY10M09PWwOZVBSz50yZCV1P+O8fNc1/3p8zIaBP/3fW0NTgedjATprr7NLivNdEfo6crPLxuw83adUMhn8GqdSnD9159h87QWK1QTYiIiIiIiIiIiEyWgjYZ0B+n+8fhtN4NZlEN21dPQRpxzzjwrKug5tVd7PvJCU79qouK/LtcZRbwQMrjT2ySs6Y327D4DxtoOpFyNHM81LYODSk3sxkrtvPtDak9gGyiBzsI9Y1c0MVCV8qt//4YoXcn2WvPtYxlD91tS0cycLtcac9EQ+8wqT5AxhKWPTo1MUbiRCubKtrTemU6PMtwp7xd/GIs7dyfu2gJM/nMnz3uf03ED3dy/NbBNHD/byUD573ppyRl+MrYke5x53xUTYiIiIiIiIiIiEyOgja5JdG1k87LKU9kOSnfuYuSuw2vAB6Ygm5hWU7W/lUz9VvL8Re5ceX7KN/gnvh14zAK3DySGkb9Ls7VWRi00R+jo343kZRwylhRS/PzrrFfMxPML6Ht+1VpIRDXumkNjBagzcH8TOrj69z83WTexMC7oWRKQkfTTK1zm+sfTqJ3HWCuLmfVnZ5nd9B++1fvEPpt6hvmMTf1/8+EOZNaK25fyhCDcjfua00A3AjSc3R4XjrjC6vwfx7M1X68uUPNiNL94/Hn1VRNiIiIiIiIiIiITI6CNhlmR9jZ2Ek8NVia56ftR7vw30XYZhZUEGivuPfBRn+E7qOxtKfcX2+hpiDDnkFZTjZ+3Z82XGYicpLTs3Wauou72fa9aMoQdSbel5upWjCNbRqHubSKfT9pSw92++P01O8geGO0V9gkk6mP5zAnd7Tl0hkFW6hP6zF3h7LGDo0tO61BmDmTCJhNL/V/VTLxMK1Zbkpe3cW+Iyc4d/lfOLfTN/mh/B4AI7Wnpp1Mn5srcZzQBymFbnqp2Dz50Nq19W3O/VMXgVerKCl0Yk7mXJ8FvSvvhSmtiVHZHD+Y0msuy4N/vQf/ulW3eqTZZ7rpuTjBaqajJkRERERERERERGYhBW2SxjrawAtvRdPmDzIWlbPv+DGay9x3NHSYke+lYufbnP7HZkoWpEYCFufPxCcxR9HEon+/Mz2EyfFQ/6Mu6ovu8Ba14aLkjS4ai1K2sD9G977j96Sd08MmumsbHRfTb5bX7pxZQ0ga87xUvP42p4ON+PNT68Qm2vYC244kRn+h/RviqRPqZS3EUzRBgDa/hLa3avHkWCTSwjuTuWOUjP2xjZ0SPht/lN4bLLW98Su9KY8NlhT5xj9nctxU7AlQsQCsRGr0ZTDnoZHvksT55XL8hW6cuQbOJ2vZMslQ2Vi8Fm9KgGnHovwmrbATHNjbTUo/qEmH1sbiKppf9uIs8FGytZHAnnq8OWMs/EnKv8088mbb/Id3bKprYox3PdtJz7nhx+6yFrZ8ZehYWoQPdU9i+Mr7VBMiIiIiIiIiIiKz3Ay63S4zg0X4lc1s/Z+6aNvgGu4x4/BQsecEpdUhunuChE6c5MyFOFZq77ccB65FS1i20ov3Kz58X3bd3ouhL07wlc1U7p3kXFoTudbDt7b7Wd7mxzH0Xg4vNT85jf/dbg4cPkrovTCxUUdrMzAXLce3uoTyzaV4R4Q8sb117Dw1yZjt4WWUbsgsNUj2niH4XmxqAr2+CDtfOcCaH1bgHNw/ZmEtzc+GWB+Ijf/auzDH5cW/ZowtesDAMPNwLlyIu6AQ79LRertYRNoq2diYPm9gugShn1+isXCol42B94Vmqk5tov3ciPfOMnGX1dPSUIHHAYkj29iRbGRX2WDkkeVk2UoXnB1ln3x4M70Ni/2UL91N09nbt+/SiTDxl1wMxX3m6np2bYhSefD24+sorGD7jnrKF5twpYPqgJPA68O91FwrC3G0xYeDjv4YB/aF2FIwGNQMhspzXvkWO7uiY+4nx4oqWnan9ii1OH74HUbGl/a7rew46mfXmsF9Yg6uv7aOHUdHq8/BfbqjAs+t5Mgi3L6T4GiN+eQ6vRbc6qZlLKPkaRfdSD47KQAAIABJREFUe6ao9meIKa2JsfRH6ewJs6XAO/Da+W5uDRp7I0Tn0QnXANyHmhAREREREREREfkU+IPPfvaz/z7djZCZyIH3mwECL3mHA6yR+m0sy8L+xMAwsjHN8Xs6WOc6aahtoPPc+HdcjdW7OP/D8uFh0y63U/ylBiJjzpVm4K7cz75XfThHbYKNlbhOb69F0raxHzAwPmMy1zEXx6httokd3ErZSz3pw2imcL10jFMNnnG3Y9LONbGiuJVYaq+pFc2c+seKWzfnudrJ+uXVhDNKJEz8bSfYlzpcohWm7qvr6biSebOHGZQf+hd2PX4v1gXciNCxfSsNXZMIYBwl7PtFAH/qkJF2gmjoOCcv95Ikm7x8F+6VXtzzBo61fbmTTU9Uc/7Jtzn/unc4TO6LEdzbzZnrSayL3XSeGAwjDC/Nv3ibivmp72ER/3WMxCcGpsMk+soKKo/YkOWi6vD7NBamh7bxU8c5eS5GbzIb05GP64vLWb7IMfDefVFaS4tp6qvlxD/V4E4JxKJdHXRHb5L9/5xh98EIdpaLikPHaC5K7xNlJ2JEfxnl0rWbWLYNDxiYuU4WProE99D7DK31vTqKn+5Iq7fh/emj+af7qViUfl5YF8OEIxeI9SYhO5u8eS4Werx48tOXSxytZu2znaOvGwP/W79h35OpbbdJXIwSt8DIdcB7L1BcH84weLu9DsPfeIT1gcmFShnJr+LY2UY8Q8dslHN5ymtirLblltN1dhe+Ed3nEvvLWPJiaPL7eAprYuS13jq8mUeeC36qg1cREREREREREfn0UY82GUOC8GvrWR6qoL6hio2Fztvng8oyMHMnHqLRuhCkM9DKzoNj97q5OzbRQBnFF6vYsaOWksUjB2YzMB1OzEmMJmknIhz4zjaa9k9VW6eDRbCxiaAvgH9oH5he6l+vIPR0x5hh4n13I0pwfwet3+skOuqcbKNI9LCt1svC75fjGipQw4F7TTmjzSZlX+xk68ZqQjeAtzs5vs07HNLluPBvrccPRFtODgdtdpiOfRE2vuoZPgcME2eBZzAItbg0dCXtj9Feu41lP92Ff96thXGu8ONcMdo2R2h/fiNNp2zI6qb7gy24bwUyJu6yGtxlwMk6DhyMkOiP0fHMU5hvBah9fPicNBwuPKtdjB/92sSPNFD54hghG0AiRN2flGF9P8CWouGAzlzkxb/IO866LaL7G6j8r2OFbAPvf/zvO4mtqRo+Vhg4FnluBS3xk+NuwOw01TUx1vve6Kbz3e34ylIvfHG6f3yHQeaU1oSIiIiIiIiIiMjspznaZFzW2Q7q1hWwZFUlTfuDRK5MIn7qt0lcDBMMNFD5xCM88thmGqYsZBuWONlO5WNfYMXTdbQfDhNLTPJ2cl+C6IkeWl9cz4olxdR9qkK2QYkevvWdUNp2mY/X07xpgjnNpoptYyXixM6GCO5vpW5TEY/8xyI2N95ByDYocaSatU810HM2MWaAYF+LEmzZzGOrqukZ6sWX6GHb862Ero58lY2dTKY9E9uzkco9YUYtKfsmVl/K48udbH6ijKYjsfShVVP1xYkcbKDsq8U0vDcYlfTHaH+pko5Tt2+H3Zccfs6K0PpUEcXPtdJzMoY1UZnbCWLvddLw9GOseKaDyETFnQjT9KfLB9Z/Kp42P93t25Eg+m4HdeuWU/xiJ7EJ2mKf2sGmF8c6xjaW9fEEjZulpromRmVz/IfvpM/FdqGH7lGGPJ3QFNaEiIiIiIiIiIjIbKehI+WOGbku3AULcc7LY06OgZkNyT4by+rl6j9f4jcXYyT6Jl7P/WDMc+N+1IlzXh55pkF2Vjb0J0n2WfTe6CUeO0/04tgBjcwu5gIP3i8uId9hkk0S68OrxH8dJXwuPs4xNnAscvPIHz3Ixx9dJ3ElTnyM9MpwuFi+0k3+Z7JJfmSR+N0lzl8YO+wycl0s//IyXPPMgfPEsrh6JcrpD6Kjh3ZDr8t343bO4cGPb3L9WpzYtXHSsRwHri8uwZ3vZM5DBuZgjVsf9hK/GuX8mdi47zWhXBcej5uF+XmYOdmQtLD7bhKPRTl/LsN1Gw7chctx5ZmQtLBuxImdGxhC8tPuvtTEIHNdgNM/KBnsMWgTqV9B8Z74BK+ahKmoCRERERERERERkVlKQZuIiMinjpOKn5yiuWhwsEcrRPXyMjqncMo6ERERERERERGR30caOlJERORTxiisourLwzNrxg+3062QTURERERERERE5J5T0CYiIvJpkuOhdsdGnFmDj/sidPxdWEPkioiIiIiIiIiITAEFbSIiIp8WhovyNwPULE7pzdbVRMflaWyTiIiIiIiIiIjIp5iCNhERkdlqqNdalonr8Qp2BY+x60nn8P9f6aTuNfVmExERERERERERmSpZEy8iIiIiM06Wh8ZfvENFPvCAgTHyE92K0PTcNkI3pqNxIiIiIiIiIiIivx/Uo01ERGTWMjCM20M2+2qIpk1P0XpOfdlERERERERERESmknq0iYiIzEo2N69b2J83B4K2fhvrapTwPxxg965OIurJJiIiIiIiIiIiMuX+4LOf/ey/T3cjREREJHOGYWDb6r0mIiIiIiIiIiJyv2noSBERkVlOIZuIiIiIiIiIiMj0UNAmIiIiIiIiIiIiIiIikgEFbSIiIiIiIiIiIiIiIiIZUNAmIiIiIiIiIiIiIiIikgEFbSIiIiIiIiIiIiIiIiIZUNAmIiIiIiIiIiIiIiIikgEFbSIiIiIiIiIiIiIiIiIZUNAmIiIiIiIiIiIiIiIikgEFbSIiIiIiIiIiIiIiIiIZUNAmIiIiIiIiIiIiIiIikgEFbSIiIiIiIiIiIiIiIiIZUNAmIiIiIiIiIiIiIiIikgEFbSIiIiIiIiIiIiIiIiIZUNAmIiIiIiIiIiIiIiIikgEFbSIiIiIiIiIiIiIiIiIZUNAmIiIiIiIiIiIiIiIikgEFbSIiIiIiIiIiIiIiIiIZUNAmIiIiIiIiIiIiIiIikgEFbSIiIiIiIiIiIiIiIiIZUNAmIiIiIiIiIiIiIiIikgEFbSIiIiIiIiIiIiIiIiIZUNAmIiIiIiIiIiIiIiIikgEFbSIiIiIiIiIiIiIiIiIZUNAmIiIiIiIiIiIiIiIikgEFbSIiIiIiIiIiIiIiIiIZUNAmIiIiIiIiIiIiIiIikgEFbSIiIiIiIiIiIiIiIiIZUNAmIiIiIiIiIiIiIiIikgEFbSIiIiIiIiIiIiIiIiIZUNAmIiIiIiIiIiIiIiIikgEFbSIiIiIiIiIiIiIiIiIZUNAmIiIiIiIiIiIiIiIikgEFbSIiIiIiIiIiIiIiIiIZUNAmIiIiIiIiIiIiIiIikgEFbSIiIiIiIiIiIiIiIiIZUNAmIiIiIiIiIiIiIiIikgEFbSIiIiIiIiIiIiIiIiIZUNAmIiIiIiIiIiIiIiIikgEFbSIiIiIiIiIiIiIiIiIZUNAmIiIiIiIiIiIiIiIikgEFbSIiIiIiIiIiIiIiIiIZeODBBx/86+luhMxiDjdez0Ic/+Em1z60p7s1M5q5wMNy9/+C83NOzP83Tm/fdLdotjJwLv0SS1xOnJ8z4V96sT7JYDW5LrzL/1ecn3PifPAm8X9V/d4ThhN34RIW/hFcv2aRyaH5dEqtWwf839ew/g3IcuD2/icWfs6Jc67Bzf9xA1ViqqH9ZvLx/+il7/+bjibMoJqeSW0Zy2xoo9x7OQ5cSx5lft5/oO9fLezpOFfvmRlw3ZEJ6BiJiIiIiMjM8gef/exn/326GyEzSJYD99fW4l/pxjnPxASsD69y6ZdhgkdCxKz0xY2yffxfe/xY+8tY8mJIN4jHZODdeYq3n3UCEHrx85TttyZ4jYwqy0X9P52iZjHQH6XpS0W0Xr7z1RhP7uM3b/kHavzwZh55Lqj6vRfm13DsVD2eC02sKG4l1j/dDZohslzUHDtFfQHQH6X1sSKaLgK5Fbx9sRlvFnClg+Iv1RFRIQ7L8tD4i2NUfT5M3YL1dEzHZXMm1fRMastYZkMb5Z5yrG7m0J4K3Cbp17fZKstN/fsnqFkQpuE/rqc9MR1tMHGvLsW30s3CeSbmA5Ds6+VqLEr43SChi6NdDB14K5+jMLeXk3/fQfi2dpu4HvfjL3SzMD8PwwD6LHqvXOJMqJvg2UT69yDDTfnLfpzJKN1twQnPZefqKsoL5oz+n/1Jbt6IE/sgNEbb79BM+GwQERERERFJkTXdDZCZw/F4PW07t+DLN249Z9sM/CG+qYr6V6P0NFazbW8U/T175z7us7BuWIBN0k5Od3NmAQNfw36qliY5+VolraeGb//cvJnAumHAJzdJZtpdwra4eWOgkm9as+B4GB5q3qqn8DMXaN/YQEg9Ij8lklgfWlgPAJbFjOn+4/BR0+AlvquBngyCbBH5PZHlZOPLG3GbFpFAE7t/HuPStelu1B3IclHSsIWFkR00HZ2ORO12jtX1tO3Ygm/+KN/HgaqGRmKHm6h8sYNo6neBrLn4NtdQtSAG744I2vL9NP9gFxUFJmBjXbvOzSQ8mDsXh2lQsW078SMNlP1lB7Ghr1ufWUbJSzV4rR6i35soaDNwPl5BzeAPysZmkzjZwbatDQSvTnaPTB33s81U5BxlW1t45v3YagbWpoiIiIiIjE1BmwDgWLeLY98vx2lYxA7vZOff9RD8VRy7H8wFXvzlVdRU+ijZeQSHUcz6PbHpbvIsYxN5pYjPvzLd7ZhFTD/lm3x4cy0Se1Oe74/Rvu4R2u9y9fbRagqOVt/lWu4fY+VGytd4cfbDUV25Pz1udLL5kc7pbsVtjJWlbCnz0H14Bz2XZ9ztRxGZKR5w4pxngB3mwGsdBGfbL7FML+WV5cxJdsyIMMPxZIBju0twGhbRrp3s/vseQr+KY/WD4XDhXVNB1csb8T7ZzBETip/umLjXaJaLqrYAFQUQ66pja+MBIteGrusGzsIKvv3GdvzrGglcOUNxY/SuQqdYoIxN++Ij2mDidHspfXYLJYVVBH5wk+InWolO58dLlgvfhgrKP4qxoy3M9B/9EWZYbYqIiIiIyPh0u1bAUULL3wyEbJHXnmJtSyTtD2zrcpjOV8Ic/2WAY2+V4K1rpOJIGR1pv1geeIXhcLF82UJMLK5HTxO5OsZf0IaJq2AZC/OywbpO9FyE+Hg3Z0wnngI3c01I9l7izLkY1lh/nOc4cC9eQt4coK+X2C+jxMfq/ZNl4vrCMhY+nE3SihOLjLPsmAwci5ezZL4DM8vG+t0lzpyNYY248WGYDuaaDwLw8Y04iRHvY+R78BY4MT9JEP0gTOwGGLkO5uY8CHzMzd7EwDZnmTjmzeFBgL7rxG/YgIlrxcD+tK6c5vSFxF3dJBntfc1FXryPOjDsBNGT4duGEb0ly8T5hSW4HjbJ/sQiHj1NdGQdjLINA+s3uf7BceJZc5nzeCne3KF958SZb9/ab6bDyZxsgI+5fi2BPfImU5aJa+kE9WWYOPMGhjj6uO86iRv2tG37uMfPMHHk5eEtW8XQ78TNeU6c5sfcvJa4rc5uZ+BY5GbJH88lmyRW/Pyo9TGw3dxap7nAy7JHTbL7rnMpEhljmw2cS724H84m2RvlzNn4nfV2zXHgzE09JwychavwPHSdyLsR4qmNzHXhKVjI3Jwk1pXRtyGtZfPcLHc7MY1JLp/vZvmjg8v/Lsb5wRubacat2yCRlGuiMc/N8i86MfuvE/0gMs51xcCRP3dgnf03uX7NGmjnbfsGyHHiWenGmZMkfi489vU1y8S10ovbAVY8SvhsHDv1fZLXiSfG2hsG5ry5LCt0Y2Y9yJxcJ878m8PXn1uL3eE1PNXgtg1tl5HvweueS3a/xaXIwLVvsoaP8+ifDYbDydxsuNkbH/0zwzBx5M3hwXH3ybgtmP7za6z9+VGc0x9EubVZg/UzNzvJ9eg49WM6cRe4cZqMfWyHzoW+68RvgGOxl+VOm+jPwsRHW+eIto6sQcPhwv3owHXd7o1x/sIo598E652az/3UYzD02e7AXbSEvE/inDkZwwKMXCdzcz6+/TyZ4P8m1Za0fW2D4cC9cjlOkwk/7835HpY9Onhu/fI0sbFqPNPvQqYDp8NBdhbQD9mO4c+mpJlS84YTT6GbOb2nCZ1LDQwGvz85TbL7LeK/HuUzc/CaNIfB62OWiWvlMhY+BNavzxC+PFyc5iIvXpdJ8sNLnPng9u9hIxkOJ86vLOMRA25+Zg7OfCcfW9dv+36WVgcfXuLMmfG+gzpxe1w4zWys30VH/ywZi6OElqaBkC1cv46yPemBl52IEdpbR+i9M+z7xwD+wioqig5Q994E1y6Hj7UrDbjWScOLHSOGJ7aJn2yn8qW5vL+3lOz5y3BmRe9qyNfkjTixi7f/IC92IULoaJTk+12UF5RTvnI3dScmd901FwzWct/gZ+oEL5voswHTgXOej2Uu4ILJ3Hzn7Z8DKecF9uB3umvjfHYucLPEOQcDm5vx80QvW2Oem7fal5Xk+j+fIXoxfdkxa3PMwhMRERERkemmoE1wbXiOVQ6wz+5m6xuRMf8oTBzZxgvmGcxfv8PxEcMCfdxvsvylLgJ1PhxDI930W0T3VvPUN4IpvxI18Ty/i7aX/bhyU1bQnyDatYPqb3SmD4OT46b89Ra2l3lwpFarFSPYvJXqPZHhG4+Gi5JX29ix2TPcBgA7QeTgdrbW9wwPh4OBe0MLLQ3leBypy8YJB77FC41B4pMIMFxPNtLcsBFvvpH+Xzei9LRsY1tgqH0GyxuOjT5Hm+GifGeAxg1uzKHX98UJNlYS+vI77FpjDPTiemIFDWeB/AoOnKrHkwX2e9UseQV2/LcWShYMtcEmcWInlc+0Es7ol+UGq3aE2VfmACx6nnuK8+sCbF/j5NZWWlE6azdTfTie9jr3sy3sqivFnX4AiL+3m7oXmwgN1U3aNtTx2OFC3mnz48iCcP03sF99Hd+t423if/MUfiBc+3nW789jS/dYc7Q58L7UQvPXR9SXnSBycAdbX+kkNlhfxppdnLhtjrb7ve0THz/D18Lp/SXDtZHlpf4X56ifxDw45ooqdrXW4l9kpj1vXeihYctWOi8M/6Ld+9dhujZ8TMefVhLbHKBxXco298Xoqd9E5f7hG2fGonLaOhopSVm3fbmHhlcujd2gEYwn2zj1pg8DiL5WTGteG4FnXRhpc5h5qdrZTO3XXJgp1wD7cpCdtdW0nkwvcmNRCY2v17OxMKX9gHUxyO76bbSeSP9VuLmigsZv11K61JG2PDdiBAMNbHsjRGLoWjBe3dZ+nvV7Lchy4n99H7s2uYfb2xej55Wm0QOI3I0Ezt4+R5uxvo1TbUP7ZgWbYxXs21mBe6iu+y0ib1WysT6U9it8s6iGfW/Wpl2TrLPtVDcnqf9hDa4ssN+t5nNPd45+rTdW0fL+PkoG36fkrVOUYNGz6REqjw6Ewnd0DR+FWRbg3E4v0dfW05r7bXY9m7Kv7AThv61kc0t4/NB2no/6N5vZ8nj6cbYTEQ7UV1I3eH4u/C9dnHjJRWxPMSvqI7etxvXyEU5tcxNrK2LFK9HxGz5yO2bI+TVUK5deK6Z1zg52Pee5tT/tayF2/Pkmuh/ezoG2Kjy36idBuGUjZak/rBnzMzRO+Ht1VDam1NrnKzj0i3oWnqhj7QelHGrwYPbHaC1eQdNYB26en13vBCh/OE7nX66l+khizOM48BlazdbABD1rpvBzf6xjsO2FM5QcasZ7uZWix5qI9hv43zhFYI1F51NLqE4LPQz8O08RWDfy/+6gLfPKOXC2EfeJOh7b66Ttzaq01yROtVK5sYlwakA930/jGy1UFKZc16bgu5D764c4sc09+MhH8+lzg3O0FRN9+TT71vXSvmkn5o42yucb2Ecr+dymHmwGhyt/PX14xIFhBQ+w7aU6glcGn8pyU/vTY1Q91EPln5/B//1G/LdeYxENVPNUY5y1u/elnVf25U62llbTM+bwhCYbv3+O5qKBR47n3+bc8xDbU8xjrwwfQzu/hF3dLZQvTqmDqyF2PLOJ9nOpoYwT/6vf5dvPenGmbJKdiHDgla00dMUm/AHUre/jJ3fywp5xav9qD9V/EqPpw+jkfpiQkz2wX5LJMddpn2xgxYKGSazsLllhwucsyvOduOZnw0RBW46Hqj2jfA/7RuvonxGT/GxwVR7i1DcHa3dFPSd+VQ9nmyh4opV4v4F7Uwu7GsqHP3MH1kL86A4qt7YTSXlzs7CKXa+P8llwOcjukd9THIPtWz3iO8qFHppe3ErHuYHP2TFrs37sv9NERERERGR6/eF0N0CmmwNvkRsDm9M/PjDBL1gtwvs7bp8sHXhwZQ3f/bMkb21ZT9FjRax/vp2IZeKubGH748N/Sroq93GoyY/zwyBNm4pZ8YUCVjxRSesJcG/YxaE3/Qzf63FQsvsQuzZ4+PhEK5VPrKDgCyso3tRA8IYTf9MhAilzQbi+3kZbpQc+aKX6qWKKHiui+Olq2j8Az7NtBF5231rWWRbgUFs57o9CND0z2I511bSfeRDv1gD7GjyMiM5uY6zYzv7dFQM3tG/ECL8bJHg0PPBr11w3Ja8fYtcGx0RrwfNX+2kZCtn6LeJnw0SuPsiqVwPUuIdakSQ5tNM/svh46NW5XnZ0tFCSn0z5lauBo6ie737TO+E2jGX4B7PZeL4ZoPErD3LpVHj4l+amm/I3A9QsGn6NoyzAoZ3lA0GTFSN0uGewVgycj9cQ2FOFa+hmeto2FFL/Tf9wkPpJkt6rCayUm/X2jQSJa7f3Akxn4H31EF0NgwGAFSdyMjJwPAwHnmd38c6eciaaPeT+bvskjt9HvcSvpvbas7GuJUhc6+XmeOdrrp+W/9aIf8FNgq9tZv1jK1jx1fVUt4WxF5ewq2M7ntQC+QRgDssa2qjK6WHbU8UUPVbM5tdCJAwXJa/W3wpfMNzUfr+FkkUQ3VvN+uUFFHxpPVvfdVD1+nM4J/sTjr7hufGyF2+hfpMrvWZzPNQf6qJxnQszyyZ+oofOg0EiCRtjgZ/6/YeoSjkOzC9n/08DVBQ6MbBJXIwQPjvQm8Bc5Kf+wCEaC4ffwSxq5Eh3M+VLHcPLn4oO1FmuC/8393PsjZRr0nh1O/As7m37CAwFR/0WsVNhwlfm4G9qYWP+JPcLQHJ435iP1hLYXcHCLGv4vMgy8Tzfxo51KTf25pWz6636WyGbfS1K5GSEmwuq2PV6CXmDbR13jkj7NLuf30z7WYAEocbNbH66kt1nBurzzq7hY2xav40NzC1ppuUrcXY/v57irxZTVttBNOnA+80ALevMcdbgpGJ3gJrH5xLvamDzE0Ws+FIxZbWdXDI8VKScn9GDB4jY4PpaKd6RF8QsN6Wr3WBH6e68s5BtRp1f/QPHc+6aFuo952l4upiiVWU0HInDPB+1rfs58Hohl1rKKH6smLIXO4nZDrwv11ORUpPulwO0VXowLnRQ/VQxK75URPGmBnquzsX7UoC2TSlH1h64YW/k+qj/Cwfn97bS9FoHJ3vH2F+ml8YDAcrzrxOsLRsI2XBQvjNAzeNziAbqKHuiiKLHiinb2krQWkjJjn00Fo3/KTZln/tjHINt7zqo+X4Vj2QBySSZzu55R20ZvM4b80sJvF7Ipe9uZv1jRRQ/VU3nORvHihqavz68neQM7OuqlXC6rZqyJwaWbT8DnmcD7H91+LvB3X4XutTzLcqeaSJ0A+iL0PrMZjZv+hbdVyGZtCFrDosra1llBWl/rYkdRwbCJmNpPYd+UIMv9xKd3yijaOnA/q3eE8UorGDfj5rx5gy9i02yH/iMmy2tFdBVyfqvDn7PvGHifvbbtP0gQFVOD1vXFVH0xGaa3ktgLCin/uXxvgdZhL5TRvVgwB3vqmPzpjLqOlMDMSflrfUs/KCJslVFA+fV4Rjk+9jeVJHyfcLEt/Nt9j3v5cEz7VSuG/y++lwr4aSbirYuWlaPd00DcOAb/D4ePtw5fs9QwLo8yZAN4GqE6DVgfin13/KnBYH3n0neQ9mAhTXh/LgGvlcDNK5xkjzZTuWqFRR8oYj1jWdwN7RQ+tDI5Sf/2RA/vI3N9cGB/Xyhg8pNmyn7Vg/X+8EoamTfznLcn4RpfX49RV9aQdG6SprevY5zTSMHXvcP//gpx0/jnkb8+XE66zez/qtFFH11PZWNPcTn+al/a9fwtT3HQ/2P9lOzeg6X9tax/rECCpYWsfmVHnrnl9D8owD/P3t3HxbVdS98//tE7tl4xI4HmhG0ZY4mjC8cx06OMOY0TOlR1BhHaQKSNqB3ItoSX9KIckxR04g0ViVNFetdgmlV0hbFVMUYFW3NkDYiPplkqC8MiZ6hx6iT4sNUPWFzYZ/7jxlgeIdRoia/z3V5XQmzZ++1914ve9Zvr7VSI6F3eVMIIYQQQghxt5ERbV92ymgMeu+IqSpH4PP/64bVkzVpLoXNbyBXOag3xHH8eSOxD4+Cow4YlMCiJRa0qoPc9LnkVfm2rXWR+7SHoX8qJnVWJmmvlJJ3FjAtZtljOjhfyHNpudh8vy5dtU4WXBzCO4czSXh2IZY3srCpWixxRpQmB69l51J0tjUdleW11K9LYmjdEO/oJcXCwuVWdKqD3KfnkNc86qDWxSqHh6F/2k7SnGUkb0mhqMtLomBOnIFBwTva7Lu+0WYAYVY2HdzAlAH1hI8zo6W065EZWiuLvtccXHBTungqc4tdgBbLS/soXuy3bXNQ5abf30xJJJTnMnVmHpV1Wiyr9lH8vBEF0E+bgflFW8t165OmlnAC+qFucmfOJM+ugmJk4a595MRpYVAMqfMs5C+zoQbpSZvX3MHuoXTFVOYWe0CJIecPh1k4BrQPJ5MctcU7Ssn/HMZNwXKhhKzH87FdATwOnAXFlL12ju1PaL37WzaeBft8JxI0tPOFLdoSAAAgAElEQVQ0j1nEmgXec6eujKzpKRTW4O3gPbiXhWNANyOThfG7u5+q6PM8997cv+OriDfvZ/2fDpM+EmiqIPebiRT2MFpRGWtEd8WJs2wjSzY050EnTrsL7cN2cibMINm0lsoTbeZSYlRQIVPTclvWTXFUZRH57RPkTDRjMSmUHFVR4tJJG6eg2jeyYEWRL0DvwvXih6i6Crb3IaDUACiAIWEKrqO5pGwoxdUUjFoL+jlrWWTylg7XjjnE/7DMex5RC9n7hxws2hiWZSVR9HQJHrRYl68kwRcLcBakMHWFd1SUfk4xx19NQDvISPqyNArLC3EFxbAsdyHGQd77ZntxFimbvSMIlKh0dpSuJ0GnoE9Zw7JdR8gqV3vItx4YZGXRXKNfebYwt9gNKMSsOsz+53sKQXV+bfSzrHi2pjD+xTLcipGFO/eRE68FdCQkJqDs844QMc5Nx+rr0FPtecycmUvlDWBkKtsPbsLasufuKgU3jqNHMD6jAp/hsh+htLm89LUO74rvOuoiG8j9j7mt29orcQYZOLHOgvWpZHT7CjtfM0drxBDswnmqnFU/3EKZL3nOs5XU62M5vDgG6wwDeWedcH43O8tXEjN5JqkJq7Ad8Dv3MVasY0B9r4iSms4O1LW7sXzphrlY+82slnbL8Z9bSJi2HssEC59lT2RJga/rvsqB9ttWCmaNJzZGYUutCugxDlNx1djY/Z9ZFNl9Oz3rwNE0CstvUrHMmIJ2R5H3XJvwBp3HxcKL8SRu9QsLjGx/sYws3LGdheM8lK1MYcEbvm0VM5YYLZwvJPfFwta2qqoS25kr5CwwcCVIC12unNR/7X5398AzrG91XAd9fQZpvtYj9bjmW1iyx91yng5imbIrFcPDcehw4Ab0Ty0lfYyC6/UFpLxo85V2B5X2BiJPFGB9aiHJG2wUXb/1ZyG1xkZZrYI1Fwi6TPWhUkpVAAX9TQAdlsj9pEzKoqylzdKSvCQd4yAPtmVzWfJ6c95x4co+R8PXKyiYkcbClI3YXvc7sGIg+PhUFjSPwrRXQ8wM9j6jJ8FQSOI3c7Hd8J6rI8eINT4T47g49EG2Ll8ic50qg4eXAeCpPUnpAV/AvfnXUZAebWUiE1fYWmpNR42W2MkFWMfFEjNoi3eKzTHpZKfooaaQBd9b5UsHuGpzmXMxmHf2LyR5aTr5R/O6fqFNGY3e9zzuqLrNC92pNvJySojLTyImYzv22U4q37VhO3mSk+/asN3idON9oX9iLekPK1B3hLLyHo6qtZL6hB5ulJGbsYoS38wArtezmN2kp+LVhNZnY+hT26Cer6S0spbsJqDeie1A6+wbxjFD8dQ4Kd32HLnFzfnTieNMMLEfbCJhshWL4s3rykNxxA0Dz548lm8tbc0ndhuVn1wh++EGCAXqQJeSzSKTgnvPAmYta/1t4Nq8gOogPe+ssrLo+zEUZVd2nTeFEEIIIYQQdy0Z0falp2WIr6O5/mrge1HfK2H3+bZ/qz5/BRUYEjYUBVAeSiBuGHCmlNL2nbA3bJSWuyFoFHFx3s5ow+Q4DEHgOrqbina/xdWqI5RdACJjiRsJ0EC9pwGC9ExJsrQdZXLDRt7iJWQV+KYiG5eAJRKw76akqt2OPUfY/Uc3aGNJiOvhlV+/jpi4J1OJGel7v7WulCXm0YyeMJGpK7oJsgFKjAVz85uuNbvJb5mO0INtU2HPUz82OShckUdlnd93mke8DNUTeRtC6e4D+eQ3T4+kOih8razlnPQxcYwKAppc5E2PYETUaEwT4lmy19Oy/YfNc1QFhaN/oJNrGnSZ3csWU3jcgfOsA+cnHTfpDcMMK80DAN2HCtnZ3HHusVH4ci6FBVvYsqEIR0Nwr/fZ7+fej/dPLc/1jrJZXNIuD16m9mMPMIShncQsHXuLWoIAzds7P/YAWrS+vDoqxogOcB0va9dp6OHIWz1M+dcVTymrM/IosztxVjlw3dAxY1pz0MpF2R6//dYUUfKeN5HaeCsJg4BBFqyTfYEstZKdv2jd3lW8kdythWzZnEf+0SsoQaBMSGZG82i487t5xW+KOrWmkI17fNP4BelJmGXuOCqik3yrxMS1Tr9Ws5v85g5xVCo35XMk0L7T2p2sXuObwvKGg8KC1g5B7XA94UEAOuImNo9qUbFtz/cG2QDOF5FX3HG9nL7qax3eo6rdlLTbj+tAGY4mUIxGxndVBXtKyZoez8Qpq1o6Ups5PnahAtqw8NaA5xuluNGRMNtvFAJgTLRiCPJg27W/x9Ej7d2N5UutLKPUPyDicVFbBzQ5KNvnf4Yqrtor3mNqm+tDF0WLpzLRnEienTbUj124mrxrjTWPimzp3FZPUvKbbq7eAD1J/2c7OXFgezmNOQX+IzI8NNwAhluYkdBumjd7IVkZWeQd7e4FoP5r97u9BwcCrOOaBfoM4rZRcqDt9VCd1d6pHbVDfPWAlrh4Mwpuyg9VtA2e1JWyZOpETP82h911t5COPnK+tdsvyAYoFiwPa715Z1/7vOOm7PBJVBRi49qNRmtyUlbqP22eisvlvR7u42VU+I94P+/iyk1AqyV8wC0kvsnJgd/Z2l7HGy5q3YASzlBfhaKfPAWjAs4DRa1teHMqT+2mrAaUcXFYOozA8uf3PN7ZSLVhRhImJ3T8N0Hf7ajDZq49C4i3LmHLAQfuYAMxs9LJzC2g+J1z/Ne5E+zdnIl1XE+j7nonPGEZm17d1Pbf5gKKj9g58VoSelyU/nh1Ny+zeSkmC0YtUGVjf7tnQ/dbpZxsH6frU9vQNcfWucR/cyJzX2+XP69X47oCaHUMDfH+Sa33eEfNx1hJjmq7Z1fxKhb8MNf3IoeWKZO9ZfNI8ZEOdYhzz34cTWB4ZApGeQ1WCCGEEEKIe5I8yn/pNdBwE0CBW+iM8LivdJxCyTedVct+I/WEA55aZydrfqi4ai8DOsL1esCDPjIcAJezk6lSmpy4LgJRvgDGWZXSLflUPpJNzPN7+fApBxXlJykvL6PsUBn+g/WUByLRB4E6LIHsreM7nItiUAAt+pF6oKvOaZWKQ+W45ujRBykYn9nE4Wc2oX7ipKLSRuUfD1C0x+Z907kbwcMiW6ZZUz+uxuF/XTwOHLWQMK6bHbgdnPQPcDbU4qoDBgEDFIKDgR7S0JNz9raddeqZapxNEBMEDNOjH4A33U0wZOwUkh6zYIzUoh2kwP8aSHhLx0MXeayukvIOvSV9pWAc2zqJk+vMh23S7DqQR9aBvu+138+9v+/fIAMJKckkPGzEoBvCwIGgDFDQRnpHCnZsAVQuf3K54358I5CCg7znMtRXNi9f7NjBrrq8nfLGDp90T3XY2gaWldGMapnfKpyZP3sHi9/NUIb5PhukZ9RIoMmIobmPsK4ap/8Udmolhe3W59IaDS3TfqlOR4dgvsNRjYp3tKl+pIFg2nW2dpZvfXUcgOqqbttBf8OJsxborjx3QXWcbJM+1XWFy014AwuKb+0dZTT64b4Nmlw4z7Ttxqt2VOPBwC11o/apDu95hLT741o65La6WlweiNEO9QZ1bnbyRQC0GGelkvztWAyR4QwJAQYoKFpfp7Nf3vYcKmJ/bRLp304leVgJhZ8AQTEkzzCAu4SiAwGO5r7LylfHdlj1BsTUy1xp16urdjGqRjchibTvWDBGRRI+ZCCgoAwK975U0NkT4ydOqruc/W0Iltxicmbpce1IYW77NWBVG/mbypiyLoH0HSdIrqnAVl5J+fEj7C+rxN1js9Bf7b6r+3twPrA6LrC0+D2D1LlwtS8PDb7RbvgCpkF636ioy7hc7S+giue8s6WD//Y8C/VExfVxu5E4QyPRa4FPXNRe7/iNhloXlwH9cG9903oHPFxuvz6w6j37y3VX2j0nNninm7zlXzkdj9kylSXN+1cwPOBtTYbELaJga8e96LWAoscwSqHrjN38PN5cF7SlnbaG4o2Wjh/Yc5k4tZuRcn48p4pYNaeIVYoOY5yFuIctxE6IxRxrwPJUNpakVEr/M4W5O27txQzdhCRSJ3TyQZMbx54tFP5yI0WnehGuHj7U2+ZcrO0Y3L5e6w16DWv/Qe/bhu4okRaSU2ZgGadH99UhDAxSUAYEEz683YZVr5G/J4nNKUls+lMCmR/YKC8/ie34AUrLXa35srlsomCcs5mCJ9ofUYfuJm2fLYUQQgghhBD3FAm0fdnddHHlCqDTM2qUAjX9N3lMsKKgAJ7rnffKqb5FyBRlIAoQHKIAKmqn6wk1eNf/QEHx9berp/KYOdVB+rPpJE+2YHnCiOWJdLJVN46SjSxZWYjDA8HNHdNho4l5uLMVu+px1dZT39T9yCf16HLmPg8bViUTo/MmQhlmwDLLgGVWOplZNu/0aie67kxQ/A7RYd2kJk/rumxdaWigvs0fPms7jc4tU1FvtEu/3zpVBCm+N4O1JOTuY0eGseVNYdXjwaOqKCE9HMJTf2ujA3yCB7VezM/U25GPP4dz78/7NzKJgl2bSRqp4DlfyckqF7XXG+AmDA0ZhT6s5110RRvcTdlsCGzVogaPp12QQGnpOwYF3UhD52t/BWnRDlHgs+DWzRsaepwGa8igga3Hbn+fARrUlqkbCVEYAm3zaSf5VjtIackDDTfard/Um/LchYb2+bmp82vc2jnb0PFYqnrLU4P1tQ7v6XifdXbdmzubmwPNne1EMZL+q12sn6bzro9ZWY3rosf7vUgtxpHtwomqjaI9TtKfN5P8hIHCzU74xkwSRoDrN7sDG2l4L5Uv38sAPRyVmBd2sWt5DFrVjeNkBc6Pa735SFEJH6PrvPw1NaB2FQwdm06OyZtn9PHJWHTtRtwBztdTsNSks/iZZGbEW7A+Y8H6TCbr65yU/iKL5T+zdRuy7a92vz/quGa36xmkUwOGoFUA1B7rm35Nh58O6Rg0xHtcVeWzTvKO+pnqDQQrwShtfqV00z72W1Cid21y8CDf08CImNZRzf6aXN61Vrt7oe2miysXAZ0evUGB8+1Ch5XbWJVT3trOBRtJfd7a47qznVLdOI6W4DhawhYArZGkFzawYUEM1pdySD3U3dTpPXO8PJH4DX7BuiAjmQcPkz1BwXW8sHdBNrzXVQE8nZa5Tu5NX9uGLuimrWfXa+kYB6m47BU4zruobWiAm1qINKBrsxs3JRnxuN5dxPzZVhJiraROsJL6fA7q+TLyf5xF7gEXDFB8ZTMY/UMxaDvLV1dcuLpbQ1UIIYQQQghxV5NA25ddk4uTdjeM02GZakE5UNZt56gSFYNRdVBZ2/cu24YbHu/6RyGd/9BVQrwdFeqNelSg4boKaFEGdbZGS7CvY8ODx2/Ej3q+jC3LytgCaMdYSJg8g+S5aSQ8tZ5dwVcwzy+l4UaDt4P86EomPl1yC53PKo43ljC1eBWGhxNIeCSW8aZYYmKM3reXh1nI/vkybN9cRWUXHTWeG97ObwUI1g6hTb9ykI4ht2cWn1ugoHyl3fXXahnS/N+qx3stTYvImd+6Ptqq2QvYYvcACkk7/ouCGd1P1PNZt5/2TsONlrAIA7UdwiIB+HzOvX8oWJevJWmktyN75rIyv7NQsG61khAV+N69ARUtitJJJCRkCLfWLdtyFBquAzqgyUHepHhyq7rZfIxfYCtkSI9TQ9V7PvMre1ran0lwiLblPNR6T7uAqFf7fNumPA8Kbleem6cF6yc3P8PTfLDm4KPfGQWHam9tNBt9r8N7MlDp7C4FEzwAuKl2Gc/QpWSTM03nDbIk51LpV9S1c4pJju/Y9ez43W4qn80mJtGKYWs+2qQZGIJcbGk/LVyvfBHKVztj0lm7JAZtXRlZM+dQeNbvuFGZHH8ipvNAW3cGeKjYsJhtwdkULE5iw6s2HHOKOoyGdJcXsqq8kFVBWvQTLCQ8mkTq96xYV21H64knsf30be3c/nZf6f4eaPt4D9oFV27fM0gnbtb76gGlx+eHfk1Hdzy++kFRGDiADsESJUTxBthu1HsDbvfALxWPpx7QUrEhnsSCAJ89mlyU211kmvTETTajHGpbN6lVpWzxbwPD0okLNNDWnsdBycrF6GNOkG2KxRKrUHTgNuaIJgf5P8rHWpqJddUaUv84l6JeTBPe0NymhnRW4oYQ3O5lpkDahg6UGJatTcc4yEXJ/EQW7HG1+Wz9I1bvdJZteKh8I5fKN3JhkJ6Ybycw5bFk0p5IIPO17TAlntyzqvf3SlM1hd/t4XlGCCGEEEIIcU+SNdq+9FRse/bjagJd4jIWjeume3pQDMsK93P4T4fJNgVwJGctribQjhzlnYaqDYVRI/WAisvpAlScTu+PW/3Y0R07zZXxGPRAk4tqZ+edAZ6zNko2Z5EydTGlbtDFW7EooDqd3aSjj4K06LQNOMtL2PJyFgtmx2P6xlTymtf1GjGO8d2syaFWt07BpoyNxeL/4z3KQtyIW0zfbTD6obbrU2kfMqJvvm613qmstKYYDL6/qZWlFNp9vRuKkfGjbj3Q1PMeVBxnWjtDDGONbb6jn1PA8T8d5/iRvRQ8Y+j1ce+Gc+9UT/k2yEjsQzpoqmb3L8vahqmD9BjH3krIRcXlm/4u/IGO11I71tB6jW6F+iGO5jf6g/QYDO2uZftj1DpwNneqhRowjvT7TLGQc/AEx48d5vCb2SQMAo+9qk3Zi22ze4XYGEPLvXdVOXoXtr3gapkKUTG0W2NsWBzjRnb2pdukyUl1y1RxemIn+ncoarHEje/VOj7d6Vsd3jNtZCdTWTZPK3fFRW2nLygojI8Zj4KKrSi/TUcqKIw3Gjo/z5qd7CxXYZyV5HFmkqfpoaqE3acC6Ez+IpSvdpSHYjEq4DlexM6zba+J1mgM7JhVr5G1oYzSnyxhbbkH3bQcChYbu86HTR5cJ0opfHEuU+cX4kKLeUZCnwLEt6fdb54Gta/3wDcK01+QHv3wtmd8W59B2muqpvpj1VtndsiHCsYn0kmfY8UY1s/p6E6dk+qrwFADhk5GfmpHGggH3B87O04te1dSOef0ThGoN9xKPatS8bsDOJtA/8RS0sf0/I3e0WJZXEDxwb1kx3eTuqYreDz9F25VT21k9etO0FlZmZvUu8D9xStcBrTDDS3TMrcYamBUm+frANuGDvuNZXwkcL6M1w60a8vCxmNoP3VkezdcVB4oJDdjJrN/5gDFSMI0g7dsnvf4nmfu+Ft0QgghhBBCiH4ggTaBWr6R3H1uGBRD9s4CFk7o5AdgWAyZv9pJ5jgFz3tF7A7kTcyq/ZRdAMZYSZ7Q7ueuLpmkeC3cqKDsj95fx65DR6hUQT85lSntOmO0cUkkRAJVRyirBXRW1h88wYmtnfx4v+7G00DrWj9nSymrAcYkkfpI+3PVkfTqXvb+KpOE7qb+UmLIPnKOS59c4NzBHCz+297wUK/6/Xd3a2xVlWFrfqtXZyV7XSoxw7Rox1jJ+fmi27ogunachYQZCVii+tYNpJuWyco433UKs7BswZSWjk9neZl3XZCm1mnpFP0ojIOAIB0JP9pAesvIjmC0YX0YB9DUvEct+rGjeuwgcR4opdL3Fe20RSxrzse6BBZ+34pxjBHjBD0Ntb0LAsAdPPf2btI6PVuQHkN3AXHAfw2Z9h2/+u/lkDbGm6ZARwpUv+fADRjiZxLjn5QgPamzLbcc0PHycOSAzRfg0jLl+8uIab74kals/8tVrv71AucOZnvTcMNG6VFfyCPISOrSJF9nuILxmYWkTjRgNMVgHFCPUwWqdrL7A9+dG5bMsixLy73Vxq8k+wlfoEqtZHdJuzWGuqC+X05lc9QlMpmlc30de0F6kl5Ix9Kvgxs9HDnauqagccF6sqcZ0Gr1xCzYxJoZfR6PBAxsu1ZQH+vwnigPzSS53cgv/WMJGIPAYz/Jh131+frKgjKobRoU06KW+zYwqP3FdlNaXIonyIh11VJmRqpUlhQFuA7OF6F8tdM8HWn766a1sGyJr94LIrDRdKqDLc+vosytJSargJVxvqmW47PZ+84JijM6BrPUOg+eJrqcJhXo13a/urKre2Ag9cmO98DtvgxoMYxpO2JGmZBGcvt1GW/HM0iXVGxHbahosaQktx3tpLOSuW4963NTMQ7o73R0l0QbZX90g2ImOaXdvQ8ykJxkRsGN7ejJz2+UHR3Lcl+4j5ZRoYJ+xjys7TOj1kLOm4fZ/pK1x4C1emojucUu0FpY+dvtpJu6CMgMs7BwYzrmIFDVhi7XXPTyUB9iwDLRwqKXVpLQRVOgnbiI1BgFbpzk5Pv9ceVVbOtXUXgedLPWsiGl5zZJrbLh8ADjpjCjTVuhYHwqueMzckBtA/C/FFomk25Zfy+49W8A6LC+sBCzAjCwZdp64+LtHK/YS3b7NhGVy/Xe0ZtqkwqolB2y4UGL5ankDnlBMWVSfKSY9U91rA875M1hMSRMs5IwIZB2XQghhBBCCNFf7oEJWUT/c1OyLA192E6y463kHLSQ9m4ZNruLKw0wdGQMlskWDGHgOZXH3IzCXi263kFTJZvXl5C8NYmFhcWwfgtlZ+pRHrCQ/OwirGEqjg257GwOPNUUkrs9meIFSWz6bT1DtxzgwysQbprBoqWp6FUnhS/70nK1GmfDUNJTNrA/eBSFB07irFNRwgzEPrGQ5Ehw7diNTQVwkP9yEUmvpZL+2i6CN71G6QcuVO0o4p5YxKJZBhqOH8DVXV+x6qD0bReLJuggKp29pxJw1Lipb4LwSCOGYd5p25zF2yjtLtCm2tiyoZSZm63oUDCkbOJwyibvZ7VllJ1NIOG2vNWsEDuvgOI5Ohwb4ol/uXeBAwBXrZb0PR8wo+YKDDN4R5sAuEvZ+Evvfjzv2qi4kYBlEDBmIfs/SMaDFl1YA7bXS9E/Y0WPQkLWPorHFrJqfU9HVak+fxl83afG5Yf5MOUy596YS+LPuuh4PZvPyk1W9i83ogyKIfPgByRduMLAYQZ0vin7XHtyWXu09x1Id+bcO9HkwnVRhSgF0JP+23MkXHFRtmwqWZ2dT1M15e+5yBxjJG1tDq7NZdQGRRLzWBrzv13PztcdZC4wYp6WhuVMGR9W9W3cgFpeyM6qZDLHpVPwqwbyik9yJUiP5YmFJA+pxtVkvC3TWbmLc9n4RCw5cVqUCZnsP2WlurYBrcGIfhDQpFKxvcgXYPVQ+vJKSh8uwBoJ+icKOBG3DFfDUPSRWm/HuKeSjTmFvpFsTvJ/tJG432ZjCVOIeX4vH6Q4uXJjCPoona8j3YPtJ8vJP9vLBN8oJX+7A+tyIwpaLOve4dwCF1dC9BiUahznaR1p1w+tr/uNXPKfMpM5ToEwC5m/OUGm7zwqD1UyZFpMr0cHXanzADqmLFhG6lAXDdWllJzqYx3eA0+djsVF2wl+pQjbxyrhMUlkZllQVCeFvyztYhShysnyCjxzrFi+v5lM9xYq67REPmwlfW4MzoIidMtT0T9sxTrBReVZJy5fHew5UERpbRKp8Ra4UcbGPb0PurfxBSlfbY75XjkVN6xYpi1jc4ZK0V88aMckkDovlaF/zKd0WCbWkQkkTz5Cw/sOnD3vsq3zRSxeFsvh11NZuHkDJ6csofRMNZ6hmVhXF1P8tUJ2v1eF+7qCNtKIdV46xiA3pXuOdD2atB/b/Tb3YCdsecOGq/keDGp/D1Q+LK/E/Ywe44LNrPe8Rtl5Fe2YBObPi+XyKTeGiX7pbroNzyDdcBdvJH+uhcz4HPb+Zihb9jmoH2Rkyrx0rGEqzq1b2O3u+zW5fVRKX9lI2eT1JGQVsz04j6I/VqMOGUXc9zJZNFHBc3wjG9+67QfuVL3bGwwxPJbJQmcZqsfBzkN93Mn5QnJ/kYz5eSubf1+A/he7qfxYRdHHkLxgEUmmYByVLi73+OzsoXTFXLLCtpMzzcr6wxbS3y3DZq/mynUIHjIUwzcsmGMN6BTw2AtZ/lwhPdVkjk3Lyf/2LjInLKT4TwmUvVXGyWoXV25AsHYohocszJwWg07xYHuxkzo8JIZ5+QVYO9t5Uz22X2RR1JsX8Dxl5P64hJk7krC+tIGkP86lpLu14OpKKdrjwvpMDCt/vZ3gX5Tg8CgYHkklPRGqPwFjS6wpgLbBfdlbv4xLJjPDw8kbVzi5qxzbWZWYcVbW5DrI3ecE3TgSnkpnZnAJhccXsTDeQEKKhfIDH1JddQXtCCuZvy5G+8sSys/W4kFL5LgE0p61oNywsd83Ms6zJ5eN37OQE5/D3h1DyftNOdUeBf2/JjD/uXRitE4KL15pOf1O8+YBB3x7GTs2J6AcXULE7KLPNSAthBBCCCGE6JoE2oSXp5K82RYqn1nGwrnJWOKTSI/3+/h8JUW/2EjeL8pw3cIvOveexcyknvUvpLHwVQsLfX9X3Q5KXlzN8s2Vfj8YPdhWpjDHs56cBems/1V66ydnS8lbvJrco76OmCYnhT+Yi/ana5g/LZP1s/wOesOFrWABWS+WtXTYeQ4sIXH+Fda/kE7qSwWktmzrpvKNLJav7CmYqOL42WxSGjaQ/X0rMZF6jBP8ut0+cVC6PZeVP+t5/R/XGwuY3ZRD9pKZWEbqoMFFdXkJeTm7MWxJIMG33e1bHr1ve3Jum0uecQMrU2LQ+V7Y9ZwtIfe55a0dJOe3kLVsFAVrUzGGgRKmQ1fnoCR7Octf85CsM5MzQ4eiM2Ix6QnmSpfHaznu9lwKpxX43uhW0EWG99CZpFL58ixmXslh7ZJkYiK16KO8YQXV7eDI9lxWbyjrsNrf3XjuHbnZuX4jM8ZmY9EBihb9UG2HtW38r4Xt5efIG1nAoviFbIpb2Jr2/72cwqtWDDM2YJ21nr0PF5EyfnnfkqM6yE1fjHbLWtKmZbJpmi+VpwpZ/gMHqX/YhD44+NbXklIdbJkzC89La8h8woI+zIDRN7rCU1NG0U9WsXafX66oLWHu4yrZP84mPcGAVmfAAN4p6d7bTac+8EQAACAASURBVN6Pcymyt5ZI9VQeKTNdrFy1jNRvG9AOa57KUMVddYSdr+SycZ+zT51Yjg1zWaAtYMPcGHSKgnakgeBaG3mLsnAteIdNIxUgmOD+GJZ0o5Lc76bQ8FI2qfFGwkPAU1vBkW25rP1kPhXTYrzb9djZq2Lb/hqV07KJmZzJpskqlTknKTnl6WMd3r36Q6tZrc5jzavFZDdfjzoHRcsWsPZE13vx7FnNkphwNjyTQPZrCa3f+3EKy0uCWTTRSnZcKgUHY9kyfSKrTjUn0sbOfU5SFxvw/HE3u3sZEOzoC1K+/NXuJGtFLDvWJpGUu50kANWN7fUlzH3xCHo1ActiIwt/s5/YnIlMfaPvh3AfWMVzr8VSnJHKhldP4phTxJLvDsHz02UkZ+SQkNG6rfpJJUXLVrKquJsauz/bff97MHkh6yd777H7VCHL//MKi/a3DXZ69q1keYGeDXNjSF8XQzp48+TKOewcuwPLxCFtRqXc+jNIN1RfPfDT9Sx6LJP101qvSdnPssh6ufW5pF/T0Z2aQubMhg0/XUby8k1Ym4vIDReVO5awPLuof47bCc+hLRRWWVg4zkrOZivq0SXsPtT7l5G8VCpzZpNSv5Y1C61kb05q/cRXN67c7Ohd3XjDQeH34jn51DIyn0lmyiNtn8e54cbxXgk797zGa8WVuHtznW5UkmudimPpMhalJJAwZ2HLsyXgayNLyN2aS/4hV8d0KnosT3QV3nfTsG9V7wJtgOfASlbus1Awy8ra3CRs80u6eS5TKXtxLlnaArJnWcne7A31qZ/YyF+0hPqs4xh1tIwu63vbsJv84nQKnjKSmruJVHcJc4sXsDFzLYb/sxLrM+spfsabDtehjSz4QR7nHh7KjIdTsazay+GYJfzL91aRshjWL08m/SUL6X5pd9tLyc1Zzpaa5uvsZMuc2ahr17IsMZNN0zJbr8vZMvKWZZF7vDXA3GnePOC4jb8HhBBCCCGEELfT//PP//zP//+dToS4+yhhekaN0KGg4vmkGucnt/t9SQXtyFEYdApqnYvqGnf3HRBBWvRRBnSDepEeRYvBYEA7BPibG2eNyzsFVRe0kQb0w7QoN9w4nS4CWaJCO8y3jyBQP3HiqL0Nb2IHxZDzp8MsjAKabGT9ayKFfYkSdaBj4b4PmXloPFO3drcjBcvGE+x9xtupUvbDEaTs8IBWjzFKBx4n1TWezu+XosUw1oC2qeO11A7TMzSoHldtF9/tIi26MaPQBzfgrnXhquvtN/uYv/y+d/ece9fHCG7ycPm8E3d3oyWbj+0bYam6nVSf9zt+kBadTsHjdvcw7VTv9+84348jEBQteoN3dKLnEyfOnsrYIB0Ggx7tAA/uGmfPozJatlfx1FbjdN9inefLM8oNF46zvc1//Uf7VDHnNiegAK7XE5m4rOeXABikwzByCGqtC1eHijHQMgbKU8X81+YELhckMnGFDXWQDuMYPcpNN86q7uvrNsKar7Eb51n/7yloh2mhzt2uPm8u3wMpmj2eJX0Y3dqVL0z5aqboMIzTo8WD62zbOkYJ06Ft8uDuh3Wcmp85hgRBfftr2asd9F+73+EejMzk8IlsYqpymTg1r21AqLnc33TjPNO754nb8QzS9c71GKJ0aG96cJ5x9nCe/ZiObig6A6MitSiqB6ez+zT2Hy36MXoUjwvnJ7dazhR0UaPQh/W9buyUf9t09TJXat29ryO7SmHzM34QqDfcuD7H+x2oljSrLhxVPVzTPrYN2pFG9AMuU33Bv75W0I0xoteqeM63eyYYpPP+HnG3rae0wwzeEfRNvXiOUHz3dRB4ah3d/K65nXlTCCGEEEII0Z8k0CbEnRSkJ+mlNST/azhDv1rP7vQUtvimqVMm5PDOwYUYgoCaLUz95ioqb6VzRZdK8Z8ycaVNJKub0SJdBpu+FL7M5y7udUrcQjbPT0A/PBzFnsusZc3TL+pI/U0Fm6ZpAZWyH46+o/m6Q6Dt8zrwmIXsPZKD+XweUyflBrg+m/jS6y7QJoQQQgghhBBCiC8lmTpSiDup6TLuAUYS4ryBnVG/P8z4vSe5EhRJ3CyrN8iGB9u2wlsLsgG6h0fBoTwKT93lry0LIQKiXlTRxVmI0QKmAg5H7qbsrAftuBkkx/tWZzu/ky17vkTB4yAtusihhBsSyFy7EovioujlfAmyCSGEEEIIIYQQQojbRgJtQtxRKrYc3/oTKQa0uhiSFsS0fnzDRdmm51hc0NNS9z1z71tFyr5b3o0Q4m51vpAF84dS8OoiLMMUDJNTMUxu/dhjL2L5D1Zh68WUo18Yw1LZeSKHmCCgyU1ZzgKWH/oSBRqFEEIIIYQQQgghRL+TqSOFuEsoIy1MeWQchqFDoKmeK7VVnDxqw3kH+oR1E5OYaRwCgOuPhZTV9PCFL5Av87mLLwhFhzHOQuwYPUNDoL7uCs7KI9jsd36tOACiEkiP01N/Zj8lJ25p4cmeKQYsibFEBnmofu8Ilefviisg7mWDjFhTYhlad5Ld+xxI2FYIIYQQQgghhBASaBNCCCGEEEIIIYQQQgghhBAiAPfd6QQIIYQQQgghhBBCCCGEEEIIcS+SQJsQQgghhBBCCCGEEEIIIYQQAZBAmxBCCCGEEEIIIYQQQgghhBABkECbEEIIIYQQQgghhBBCCCGEEAGQQJsQQgghhBBCCCGEEEIIIYQQAZBAmxBCCCGEEEIIIYQQQgghhBABkECbEEIIIYQQQgghhBBCCCGEEAGQQJsQQgghhBBCCCGEEEIIIYQQAZBAmxBCCCGEEEIIIYQQQgghhBABkECbEEIIIYQQQgghhBBCCCGEEAGQQJsQQgghhBBCCCGEEEIIIYQQAZBAmxBCCCGEEEIIIYQQQgghhBABkECbEEIIIYQQQgghhBBCCCGEEAGQQJsQQgghhBBCCCGEEEIIIYQQAZBAmxBCCCGEEEIIIYQQQgghhBABkECbEEIIIYQQQgghhBBCCCGEEAGQQJsQQgghhBBCCCGEEEIIIYQQAZBAmxBCCCGEEEIIIYQQQgghhBABkECbEEIIIYQQQgghhBBCCCGEEAGQQJsQQgghhBBCCCGEEEIIIYQQAZBAmxBCCCGEEEIIIYQQQgghhBABkECbEEIIIYQQQgghhBBCCCGEEAGQQJsQQgghhBBCCCGEEEIIIYQQAZBAmxBCCCGEEEIIIYQQQgghhBABkECbEEIIIYQQQgghhBBCCCGEEAGQQJsQQgghhBBCCCGEEEIIIYQQAZBAmxBCCCGEEEIIIYQQQgghhBABkECbEEIIIYQQQgghhBBCCCGEEAGQQJsQQgghhBBCCCGEEEIIIYQQAZBAmxBCCCGEEEIIIYQQQgghhBABkECbEEIIIYQQQgghhBBCCCGEEAEIutMJEP0rMTHxTidBCCGEEEIIIYQQQgghhBDinrF3795ebyuBti+B48eP3+kkCCGEEEIIIYQQQgghhBBC3PXi4+P7tL1MHSmEEEIIIYQQQgghhBBCCCFEACTQJoQQQgghhBBCCCGEEEIIIUQAJNAmhBBCCCGEEEIIIYQQQgghRAAk0CaEEEIIIYQQQgghhBBCCCFEACTQJoQQQgghhBBCCCGEEEIIIUQAJNAmhBBCCCGEEEIIIYQQQgghRAAk0CaEEEIIIYQQQgghhBBCCCFEACTQJoQQQgghhBBCCCGEEEIIIUQAJNAmhBBCCCGEEEIIIYQQQgghRAAk0CaEEEIIIYQQQgghhBBCCCFEAL7wgTZNwou8+eabrf9+/CiDu/1CGCNMscROjMX4dU3X2/3TcIz/8SgpqeksnJ9OymOxjOhux+PS+aV/OvLTGD0gwJPqJ5q45/j19l+zZkbEnU5KnwWedg2m9Hx+/fo6Uh/sl6Td5b5K8NfMDP7aGII6fKag0ZkZHDkeTUtRGOzdPtLv39fG809Dui1VnyOFh5e/wZFdPyL+K91sNX0dR8qOtP5bP5NuNu+7+6ez8vVf8+vMOLqpRe5+9/J53MtpF376uY6WfNKzAVHMXvdrfr0lA9O9dpHu5bSL26QXdciXNZ/cw/XfPfObxbSQN/yfN19PJ7qb33/KhEzeOFTCS9Nv61OpEEIIIYQQ4nPQsW/9C0YZ/FVGjBhBXdXblNeoqBfqUDtspcGY+mMWzjAy5l+GM1jx/vXC69/l8c3nOmwb++xmVj8Vy/B/avfRtXPs/emPePmtCzS2P8S1izjsH/LVAV9l/LRHGMH9d9+P2pAIIiL1XNfedSnr2S2kPeT+CPQjVMIGaqDjnetXofEZZD2mp6ZkNdsqPt9jA3CfGX3aT7k/yMbZl5+lrsn/w68SNmMbD3z9v7m4bRYX/luF+8x8/alXGdo+7wP/qP+AS3/IxfXhWf7xeaW/vbGL+NEzD8P2PN77e9ebKV/R8eADD/KpfT9/rG5A/ejTTuqFW6AJJTxSj959twQgA3Qvn8e9nPYvsEDqvH6to+/RfPL5th0awiL06LUfEdLPR7r97uW0i9ul5zrkS5pP7tH6D7h3frP8/a+8X/k+9wfpeMgaz4PoULrZXLXv48830slcnsmh4y/y3v98bikVQgghhBBC3KIvfKCt2cVjW3hp+8UuPx85YRKx/6Jy8eOTfMgDPDI2rIstFUaM+wZfufIue98+xrtV5/n0xlcYGZ9C+lOPkLgqj2vuJ3mlst0P+f96my05b4NmEj/51iOMuH2ndts0nnuLbb98nzpH3Z1OSp/dq2lXwqMxT4iGdz7/IN8t+cd5Lh38LX//B9x3n4agMBM602SGJ25F05RE9em/3YFEfYWZz6YRffM9Xvz1+70KnP31cB4rCv56+5PisfP7wm3YLp++l+6qEP2u73VeIx/9YSdbLzRSc7kfStM9Wlbv2bZDiLvRzUuc2L2VOo2Lj27e6cSIL5SP95P3o/2gTOXVSfH0ODD75kfs/PVx5v98NouSC3lvez88owohhBBCCCH6xZcm0Na9Ro7lPcmxKxe41ggj5v+2m0CbyruvzuVg9Tmu+f3VUXWS85rfsT11BIkz48ivPHbvdX1dKGfXhTudiADdy2m/J33K3z/8LZ+2ZPLtXHK9SsyTkwn7t8cIOr2dpu6+3h8emM2cSV/h78eK2Xf58z54O9dPc+x3p+9wIoT4YrhUsZddFf20cymrQgiuYj+wC/udToYQwN+PFXPo8lRmfzeNh4p+wvsS/BVCCCGEEOKeIIE2n2t/7W2UppGL1e2nk/T+/Zz9HNdSRzB46DAGA7c8tmrAYIZ//atogL/XXaDuWo/f6DttHBlZj6H3Wy/AVbaerceudtxWE83sF9J46LqNnUc0TH86EZN+MMr1S9iPF7PtjXIuNQdeBkSRmDWPiZq/ULy+CPtn7fY10My8F75D1PUTbN3VyOwfWFBObmPtmzVdJlUzYR4rk6K4dGg9W49f7VvavXsgaso85j0eR9T9CurVGip2b+MvXR4wgrinMkiJjyYiROWay87eX+3lWnwa3xr4Pjvz9lLT5sdvCFGPppH2qJkHh4eh3KzjUo2dgzu2cbD6eutux84ma85DhACaCD0A0Y+vYd0jraHZmpLVbDvVNlQbOi6RtCcnY4qKIEwD1zx1XK6xY3urmL32rs758/OPT8/T+A8YFOKdFtU/0BY07Lt83fI4ocPvJ+i+Bho/PcffKn/JxdP+00wOZvA3c/iaXqX++GoufeI/Jk3hn2LWoI9SuF65lr/WdBwx9+DMWTyk/J3Dx47TzayRfdT2ng7mGnVXL1PrOMFbu3dR4R/QGxDB9MXPYQn3+1v171n9q4oug+4hYxPJeHo6ppFhKJ/Vcfr4TrZ9oCftMQOX/vAq28p997W5PN08wbYdlzCnpzHZGMFgrnHJfpCtv9jFac8tnur9JlLT05hs1DN4wDUu2Y+yc18324fEkfHCY+gv/J61u69jmZNGojmKMI1KncvOwR1b2VvVmu9DTYmkJU3HHBXG4AEqdRc/ouLATnYeqeG6/35HJLL8+xNR/t9iij0TmZccR1Sogvrpacrf3Ma2I66O17OPadeEm5k9JwWLUU9ECFy76uLM8d+z83fluBoBNJifXsN3HnTx1vqtlHd1bQfomf7DDCwD32fny7s4HT6d5561EHammFcdeubNSfTdWxenj+zk1R0VfG4ltS/1NQChRE+azORHJhKtDycsdDA0eusw2+93sutUJykfEMGkxc+RoP0LxS8fhFnzSJtiQh+qoH5aQ8W+bWx9uwYCqPM0E1JZmfSvflMs12H7xQYO1nZ30iFEz0jjO/9hYuzXwlBQqfvvj7C/83v2vm33a5/6UlY1mNPX8J0RLsp+dYKI5HlMNkUw+OY1XPaD7CzcRfvqN9Q0nenfmshDoyMJv99Xb1z8iIojxew8cLptfh/e+zwTaNvRJ522e7aut+9lHmhOUc9lr3nDvubfANI+UE/ck2l8J24s+lAFrtdRYz9K8Y5d2D/1bhI6KYOshAj+UryWInvX1zU6eSVp/6Z68+jFz6G+7qs+1teacDOJT32HyaYowkJAverizPFitv2uouN19x6gd2UPenXdA097357zopJXMu/f/CaLvP4+O9fv4nQn5xgSl8HKx/TU7F+PTZvGvFlmosK9+bz8ja1sO96xbep1G+/Tr89593AbHzI2kXlPT8c8Mgzls0ucPl7Mts7ySm/Toolmdpa3fvn55oNc6iqQFRpHRuZjRHxUzNpf2dEEkAcC8j/vcejdT5mdNJVZsXm8/95tndxcCCGEEEII0U8k0HYbDQ4LQwNcq/uE2xIT+3oKG0sWMnpAI+/+OI7F+/pnjJxGo0EzADRDoogeEUJI1WDotDs4FIPJjJlIIuPDUC7asdtrCR9tZtKcNYwNX8uil495v3nTxaXGKMxToml8dy/2Y21+ZhMS/xiJcWau7Svm0t9CGWw0Ezf4fba9WcOlzlNJVOwk4swKB0v8OoN6nXbQJ6/jlWdNhHhc2O1nuB7yIJMz12H+NAQ6TDQYwaQX8lkZH0rj5dNU2C+j+dpEMnKiuYQePY2UveofaItgUtbLZD2qh6s12B0VXNeEM9aUyHJTNPrspWy1+9I9QONNN6BpDhIO0KDxX2ai3ULpGlMG69bNJurmJU7b7Zy+DmH3RxL577OZ7TnBQfvVOz6CMmj4aJT74B/159ukJShqDeOffJyB/I1rH1fw98avEvLAZPSzYwk9msGH5R/6trzGtdMV3PdINg8kq3z2y9XUN3g/uS9yGaOmPYZycROujzublvLrxD8SDep7/Lm7xdn6KOrJdbzy/Wg0V2uw223UMZiIiAcxzUqjsWovFW2mstOAxncflXCixkYQQtedvJqx83hlYypRmuu47HbOXA/hwVkreTmujojICE5/tI2WvDwglCiTGfOAEDTRUUTdPM3pczU0jjYRPSWDNQPrmL/6WOBBHK2Z5zauITESrp6xY78E4aY01kTXcX1AF9/RRBBlNmMafIm0CdOZPaKRSxdcXLoZQkT0dBLjDnKwyjsdX2jccvJXTieCq9TY7Zz5LJQHTXHMfsFE9PAVLP1V67R9miF6TGYzYV+LxHT/YK457Nj/O4QHJ8Qx+4Vo9AOXsmKfK/C0D5/Oyp8tJ+7+Ri6dsVNxrtFbhz1twjTu5yxdsRfXzUauasIx/3sUddHbKP9zF6UrJBrLJDOmc++z/iYQEoHJbCYiTMO6J6MIuXCaj85d50FTNHFPryHkswUs3e3qfF+3XR/qawCNiZQfZhA34BI1pz/CXtOIJiScB02JZJjNGNZnsvZI+9o5hH8xmjGHw6XFk5k+I4LrtS4uXb5OSLiJxBlmdh2poS6AOg+Ulu+E6KOJCq3j0hvdTJOo0TN95cs8FxeBxuPC7rBztVFD6EgTiYvDaXQsYFvL+zR9KasaIkaZMU+IIlKfSNiAGuwOO5cjTJgezWDd6AhWLPk59pZmKRRL2nLmGa9zqfo0H9k/onFACJHRZmZnmjGPWM2izRWtHc99yTMBXce+8Gv3LtqpsF9Fo59Ixk9M1HU5oqJ3eeDSTXpZ9lqvY5/yb1/Trolidu4rZJhCuH7Rjv3UVTQRJkwzMjBPMLD2+bUcuwzXr4cQZY4j/EIURfYuRj4OiMAUPwlzZDlln9L/9XUg+lBfa8amsu4n8zBpr3PJbsd+GkKjTEx6eh2mBzew6KV2gYm+lL1eXvdA09635zzQ+MoUhBA+OoqIxuu81dUlDI/GbI4mXLOG6aNDueT4iJr/iSTaaGb2C6E0uhex7YzfywJ9aePp5+e8e7iN14ybxys/TSVKc5WaU3bONIYz9vGVvHy1rtO1rnuVlsaroDNj/ncwFR7k0vVOdgRoor/F5H83U3dhG41ASB/zQOBU3j95GjUpnoe/FQ3vvX8b9imEEEIIIYTobxJou10GjOY7id9AoY633z55x4MeveYp5+fLywHQPLqO0ixzz9/RRqAcW838teXeLoKB0cz72SukTplHWlk5Pz/VCDRS8fZRXI/OxpxgIfTYQb/uhFAm/4eZkJsuDr5tp/F6BM4LEBf5r4wduItL7Ue/ARBC9INh8Jmd0+ca+5720OlkzDER4rHz8yUr2FvbCGjQP76O/MWmDptrzKk8Gx9KY3URS5/fxunPvOmOy8pnzaNAu7fRQ2c8xw8f1dNo38aK1UWc9v1o14xK5ZWfzSPx2RSO/mAbNTehsaqI1UuLAIh4Mp/ffD+a07tXsOJAF7/00WCeNp0ozVWOrV7A2nK/7UL0RA+/duv57b6vERozl6B/+P9Ry1cGd/WF+/nKuO/iHY6mQTPUTLjJQtD/fMCF42+1jma7z8zwaY8z8L7/5uKOZC5c8IWgv/I4o+av4f745URUpXKp3rd9/W+p3m/mG7Mf58EZFXxQ8hZNwZMZ8Z3vMqjRRvWbBfzPPzokBv7JxL89AFz+iI/+v1u8Fs000Ux+NJqQ6xVs+MEKDvq9Pa2JNBHV2O6q33RxcP1SDgIMTyV/+zyiu9r3AD2JP5hN1MCrlK9fxOq3vQEMzYOpvLJpHhFdfS80mvA/r2Bunm+UizaOlf9nDZPMj2EJPcbeAHtuo5/MIDFSg2vfUha9avcGAbQmntv0Cok9fXnUdKZfOMjquVspbw48hkZjHn7Jmy81JtK+P52IAZc4uHoBG/7sy7/Dp7Nm03Linsxg9rFFFLUbqaQZPpiaVxe1dLhpRsxm3aYMzE/PY9Kx1TTH7vuW9hDinp5H3P2N1LyxlEWFvs4/TRSz171CxoR5ZDxqY8WBq7iqTnP1yelEjdLDnzsfaasZHU3UQLhUbW/Taa4Zpefy+gWt93VcBgU/m41p0mT0b27zCyZ8DnpVXwM3ayn75Qq2Ha/A5VfFNOfJSU8l8vtjWzndadDCxPR/P82u5UvZ1jzyTROByRTKtYDqPGg8tY0VpwA0xL3wW9ZM6f409cnLeS4ugsaqbSz9UWsdDBr08ZMJ9z9UX8pqi1Aibu5l6Q+ag2ohmDMLWDdjOhnJB1nwq+Y8cp2atzawdP1R7P6B+BATGZteYfaMNKa/WcGudkvG9ibPBHId+0Lz7523e5NWvsbKSXRo99p+ufs80Jey10Yv829f0x76aAbzTCFct29l0YpdvtF0IZi+/wrrnpzEs0+/Q/nL5TSePk3NZ9MxjYoilNOdB8c0YzFEAhf+wpnPoKX3v5/q61vSY30dzbz/nIdp4CUOvpTJhuPNwfVQ4l7IZ82UDDLibaz2e3mqL2Wv19c9kLT38TkP4PTvVrP0d8CAaDJez2e2tudLqI9qZOuS/82uj3z7f+oVCtKjmTQlmp1n7N609LmN79/nvHu2jR+gJ3G+9zoeWzuftb4ZKzRj55G/MbVjWnudlkucPueCcZFEjdZAF6OA9aMeJJSrnKhq+4JMr/LALfr7mdN81BTPg+OiuZ/36WYAnxBCCCGEEOIucd+dTsAXg4bRz7xA+lgNdWV55Ntu0xyPjX/jQvU5zp05x4XbFTy4HW7WcPCN8tYOp89OU7zPznUiMD8S3fqGafVBjn4EGtNkJvtP0TV8MpONGhqrj3LwI4A67OcuQUgkhgd9346cxLzM50g1h3r/XxONYaQGLvzFb+RA74WYLZhC4FL5Tg7WNv8EbsR1YCdHO6znpcH0rYmEcp2KN4t9HXYAVyn/3cF200XinT5uhpmQmzXs/YV/JxM0Vu+i+M/X0YyIw9LjCuhdG6zVwP9l7/7joirzxv+/7vA+I7sHaYdUJooR10FqjBrSQDdG9wbcAi1wVbw3tHuTvG9NUyu1UnJLK39kaz+07xbuZ1O7N6pNy7QfyL0GexuoMYWOCUPZ0NqQLLMSs4tzPtLn+8cMyE9l+CGZ7+fj4eNRwzXnXOfMOee6zvW+flBP7ak2B+9xYi/vhda6y4Yz9JYlmFJb/pvDYH3n6Q23LWdk+nJGpi8haqwV3ZlPOPH2I5xoOeXjlckM1sN3n7/MV8db3BffvslXh76AATcwxDy81abPfJZD+cG/oly3HNON8YTdtgLD5X/jm7cfoeYUHbvqaq76EVDzFZW9NsOOnjAV0DzUtzntWpUNe0/WgQtPxHqtAsf3sK3FKCGt0ne9dEqzs/OVFtMP1pWQb3ODEo5xeEd9u7sgyIx1nBE0G3tesZ0daVNnY9tbXWgwCnKy86lnzjbAAbjtlBz2N4jFWomPAK3sNba0PLYTe9j2rhMUM9YJxvbbrd5L3rtnG7e04zvJK3JDqIXx8Ur38h4cT0q8HupKyHv1bA97NAc78wpxo2K52YoKvgZ2DYwjTfgmFlOxTFvIknmpmPwjAAwjTehxU3m0zSi1tr/r0UJKTgARRkb0aMRRN3T1ed3ooOid1kE2AK1yD4WVQLgRY3An+wgC+yvrzwZYADQXtpI20yT2FcVM6kQziuYg77etn8Gg4dy3h5Iet1Jq2N7a1qL88VDyyk7smoJpnLX5mgANe8Ge8G3UkQAAIABJREFU1kE2AI+NvfudoBiJNnVwr/b7NaNgudlf7r3eutwr6Kjca+t810AA914rXbp+A827Hut4Mwou9v73zhZTVnqwvZJHiQf08eOJV3z7O1IFinEUZv/Ppk/MYuH9s0mK8J+5mFGMUMF5zN56RH5fPK976nzP63EZpEaCZ/8WXtjX8mjcFL2yB0ejimV8/NnnRkD3XgDnvRt5D6ye133ufXnsrGyx/X3FOBrBEGk8e166Ucb3WT3vYi7jw+N957FyD3n7zp4D7WgeeSXtz2MgeXEcrsSDAdNI/5rcipn0BUtYOMXi/x1VzCMM0OA428Gv6fC7cg301JdfUdMIuitHMELXWxsVQgghhBBC9CUZ0dYLIm75DU/NjoXKPB5+4t2er83W5OudPHzHzt7aWu+pc3CkTW98zzEHrsZ4TJEmVGzN00cWFNiYOc9C8kQjr231vVAbk5IxKxq2ggL/yA4Nx+GjeKYkYopR4bAb44RMsiaZ0PQOdpbswRPla8hyHbN34/wqGKMiUdCoKne0blTQHDi+0KBlIDDIgMmoh0Y7FcfavMhXO3DU0aJRFQg2MyoS8LjBmERSm/aEEOohyIDxKgXKu9PPVcN+1IkWbyJ92RqUdwspLbNjK3fi6a2hk2c+wfnq7zjVcmE1BjPk1scwDO4g/Xef8dX2p3D/XyAohAH6a7lizAwipm9H/WAuhz/yTQc5YOhwlMugofpoqzXbAP759Wf8X4YTPHQ48EWLv9RT/8Eyvrry9xgnbSHsMi8NHy3i8886mjLSRzdoCIMGgNfzbe+tz6bZOeLwkBSfyKK1S4guKKa0zI79eM+n6VSGD8MYBB5HRZvRTRqVlU5I6mR8TZ0TZ5v2No/HC+gI6SwIcj7BRozhQI2z3bpB7mMOXI0WOmgiO6vKRvE5lrhUI40YAGe5o91oEGd5JR6MGKIiUWi9ton2hQNH65sVe7kT7VYLkVFGwBF43iOGER4MlB/haNuAkt2OQ0sl3mjEpIDNY+fIcYgfbsas7KEkyELaHekkqU48+/bgOKoyYoSv8fJIWesrQvvrl21+V7cvWBuuoLvQgbauPq/BNwJpYirWG0wY9SqKv3FPHwkEqagqdBg5a3RQvL/jSX8viFAz5gigykbJOddw64FGF45jba5gtwOHG8wRRiIVcDQHeBSM41JJHhuHKVxF/ZE/HKT3jWNRO7hX+/2aCQrzl3sOKhxtfuSqI+3LvbbOdw0Ecu+1vJ26cv0GmnfFiMmgQEMVjjYN6DQcpaIKEkdGEh0BRcdd2O0uuH0E0ZFQVKnHmjaT9HgF04k9FLzqImyECQMeCo62GfnaF8/rnjrP89o0cgQq4PToiE9Kav3HoBA0DVSDr/xyNBLYvRfQeQ807wHW83rAVdVm+26377GoUwnB94gMvIzvw3reRVzGK8OjfefR2fY8ejha7oQJrc9jQHmxH8GhJWEaeS0KLjAnM31KKgY3FL9jowQzpuEKVB1pE0Du2jXQY411fPtPYFAog3pje0IIIYQQQog+J4G2Hgr52X08lXMrEbUFPHzfGg50NuLmh6RBa/8SWVfr+ywkhJAgcPtfiF0Fe7HNshA/IRXTKy/gwETyBBN4ithb0KKXb/MLrxkFO5YbjLiPO1HMcViC92CPMWEI8lBy1N6tIIeq6gANrV2LhUZ9u88UfyOYhqfdVFketAZo1e1eVVEVIDierBWdT1+p9KBhzfnq46zTL2HerfGkZ8f7pvrRPDhLdvLCc1t6YbTGt/zzeBH1raJhEainz5H+qxLqm07d8b38/fBRWLCRof92L0MPz+YbDwwYOIjLgDP/6CBI1vAtZ74DnT9Nqxkhz3zKif8t4soZyfyr9glVhUV0NGNkE2+jF+8Z0A0AHR2txNIdbnZuXIfh/rmkj04l67pUsgA8TmzvbuOZ3IIWPfIDpKooQG1D++aYWs85mmgatQ6ufw3odI7PLuVFDQI8HjxtR354ujBd1ana1uv1tBGi+m4Wj6eDHvmeeuqBsOD2+dc62LfmPzeK//xpAeZdCfGl1+o97QP2Wj2eBiA4xHd7N7qwH3PBJBOmcLANieNaxYmzxoBltBEq9YwyKVDlaDfKVmvs5Kxd6CAbdP15HRrP3KceY/oIBa3GicNZjcdfninhQHCLdcHa0tzUnmtawb4W6v/NPLXnWEusp7R2I1tp9ODxAINVQhSgAXzrdW5g6a0GFI8Lh6MK9yn/9IbBvmnGOtx6v18zqr/c83St3GvrPNdAQPdeS125fgPOu4ouGN9o5banvbEezz+BIBVF9a0JaD9aiWdKPGazCicsxMVoOI97MN0Yj/7VPYwYaQTN0S7g3ifP65465/NaQQ315c04aQkrJnWSLFj1PQsaCfDeC+y8B5b3QOt53ae1nTa6pabz0o0yvs/qeRdxGd98Hjs4Zx19FlBe6uzYq8AyfBRmpQDPDWbCTjhxDraQYFYoOWXCpAfXfnu74+/SNdBjOl8ni16bpUEIIYQQQgjR1yTQ1gPKddk8/+RMYv75F9bc9zDvftXfObpAgjpoKlQU32eat00vz73s3j+b+ImJpMZu4YUzqSRFgfuDfPa2bBBz27Gf8L3wmvQhJJg8FG/cSdiimSTEqmgjjSgdNWR1kaZ5AbXDNk6l3WeavxFI8QXHWjXcqe3TN/gb046/xn05O6nu5AXbW9eDhh7NScHG+RT8zoDZci3ma8eSkJSIJTGLx9R65ix57cKu+9RhHotwf+VlqPkaBkXo+Kbcy3dnfC0Elw0YBLQZlnCZjn+5DDjjbR9EG5hM1MRk/lXz8p0SjzE1jb+/sbvdqLhm7jrfSLYfDyY0CL7trXNRXcQLS4rYMtiEOdZM3A0JJCbFY5m2lOVaNXNy7d3bboMHDdC1v/hQgy/wlGJN16/S0X3dlfmKzn1dNzVIKUoHrfSKgg5A66AlqYNz0/xZUyNXgHnXvBpaIyj+51WrnAcpvs17mp5hGo6jlWi3xzPKrGKLtBBWuYfVjlRW3BCPoQBMg8F96Mg5GyH7XRef1+YZc5k+AhxvPsiDm0uaO0uAnvSn/8TC2HPso5FealjspqbjUJRWHT16m679ifRdM41a8yWpxGcx79aO1qsC069f5MWoc44d6Ue+e6P5mFpRzh/wO881ENi91/JvXbl+A827hrexxXbapPcFkbTmZ5dmP4JTS8Q40oxaHYc5yMaWVzVmL4jDEuog2qTCCXu70ULfT+d7XnsBDyUb5/NMSSdpG+upbZ41L5B7L7Dz3r28d7We18e6U8b3VT3vYi7jNa3z89jBZwHlpdHJkWNuuNWEabABLEZcRavZG7uC5BuNqCdGYexBB78e+1Eog3RAzUlqOq38CiGEEEIIIb5PZI22blJGZrLh6XuIbSxj0333k9etKQEvUnojxjbvsIrRiCEIPCddbXo1a5TkF+LCgDUlnviJ8RhwUZhf0vrFtemFN8KEeVwcJs1G8f5Cih0q5pusjDLp4YQDW7eWqdCornYDCuERbRo5gwwYDG0OptGFy+WBIEP7tXRCjRhC22y+wYmzBtCHobpduKo7/uduoFOdjhRpq8GFfX8Br+Wu5r67H2FPNSjmBCznGmlwwShcNgBAx2X+J4t26m+cAYIHR7R72AwYHIECeE/9tc1fIprXZavZmcXRj//KwOuWM3LMcDpVXclf/w4YruanfdB9QKtxYCvYyZYNDzLngddwNiqYRlswdnO0ieZ04WoEvdFEWKttKJgiL3BDfIMLlxsY7Jv+rlVurjJg6OGImtpq35RKhojwdo18aoQBFaitab+Ajmpov29jRDgKGtXVLt/zI9C8V7t8DcFDfFPUtRIxjHAFcLuag+Ue+xEcjQqRI60kxBpwHiqh5CM7taY44i2jMAZpOPqrEa6ruvS8VjGNNEKjg72vlrRuLFdMmK7q/Wx1+ZnXFTVOqjxARDQj+upZGGTAcFWbiyY4HIMecLuag62Ga03o0bC981qb6cZUIqMMvZ6tXjuPjbV8eVKDID0GY5vjVI0YO1uvs6sCvPeadeX6DTTvjdW4a/D9fhFt/qYYMRh8aVxNj6UaO/Zq0JtGYb3JgnqslOL9H2FvNDN2nBlTOLiPHen/zi49puGsqkZDRa+n07qMq8Zz9pkXyL0X6HkPMO8B1fP6WI/K+N6u513EZbz2V989roYb2ox2VTBGtJ8LNLC8aNiPOtCCjIwaHU/ciFpsB0ooOeTEYInHem0kSqOz2x38emzY1QwOAu9XlVRe9M8WIYQQQgghLg0SaOuOYek88fSD3Kw7Ru7S+eQe7qOXsKtn8rv8Qgr/vJcnbrnQ3XHPQTFjndCywVDFMt6CHg3HJ+0XVtdseyg4DvrEucxNNMDxIvba2qXyvfAqJlKnWFDsH2FrcGP72IEhPp3ESHA7ut+Q5Tpkw9EIpnHWVo18yohkrCPaptYo+ciGBz3xtyRz9kgVTJOSMbf9KTQ7hftdEJpI5hRThxODKYP1Hc66VV/na7DSh5+74cU3lVIbDW7fdFvNvfnb02W8QMnHn/BJye+Z2Uvrk3TqiimEG3Xw3Rd4XP4ew85C6k7DANMkfvKjlomHM/j6G7iMv3Hq82Mtc8zA+LWYzFfQ8PFqPrd/xqk9K/nqGx0/mbiWq8M76X3tLeVjuxeuMGPutaCA0vFaSm7/tGWNdHrez6uq0Leezchk0mNb/Lb6RNLG9bRFO0CanVK7B1QL4xNb7ltP4vj4c84W16XNlxVjbwB1dArJLdf7CzKSmmRGwXeft3uKRllJHtHyZjWTPM4IjU5KmyLugea9zkZppQYR8SS3arVUME9MxBQETpvt7HPG38BusKSTGOXCVuJEsxdzVDOTfvsI1EYHR8p6ZTUWRsx9hZKPP6HkvUeZ0JVBBl3Vxee1bySASliby88wMQNrR+s0dlNXn3kBabDxYYkb1Hgyp5nbP4NVPfoer4mlYhmfSKurLDEFiwoee+nZtYb8Iyr0+rBW31ai0skY3XuN/b1/Hj0c/diOhoH48a3PoSHJ2r7cC1Sg917zn7ty/QaY90YXxWUuCDKRPLF1ejU+GWs4aOWlZ6eEbXT4OgJFJpIeH4bj4xLcnhKKjylYpqRiUnov4K4b+zC7Sj7hk5I3uN/SCxsMkHt/IfYGME2cSWJHRVGQil7f4owFcu8Fet4DFFg9r491o4zvbj3vvC7mMv54MbYaUGKsJLcMzqoWkse177gQaF58nWlURkxKx+yxUWzXcB6y4YpKJj3W4Bup2uOp2btncKyZqwdApa2099YeFkIIIYQQQvQpmTrSL+zf7uGhtCgAdJG+t7krrIt5alg9AMd3P8mm/6mFoChmPvIQSVdC/fFviZqxkqdmtNnYNwVs2vAux3vaAzFIx6CfhBASpBHSmw2vzVTMScmY/CO0lBG+HqD6kYmkT/G38HicFH5ga72ouAbmXz/JiuBt5FdqGG7MYOZEA5zYybYPOhhy1uhgb4Gd6dlmDIDjzT3YOzg3nrIjOBvjMUVp2N6y4QE8JTacv87CFKRhO9oyiBdg3it3kFeUyooJ03l0JWx/7wj16ijS7piOsZF2U0t59m0jb5KF2eMWsmG9mYJPXBCRQOo4ldo6aP16r2F75QX2xD9G6q+f5vnInez86AiuBgV9RDRxNyaSYKpkY9Zqitq0NHjKSrE3xGO5fQlrlCKOuL3QqOEseY2i5sXn9aSvfInUxmKKDpRypMqNphgw/9t00qPAs7+Q4k4apnQ6HYN/MgjODELXq3f7TwmftJZB3wHoGKBGcHnUNfzrAC8NJc/ialqr8PRuvjr4H/wkMRlT1mMoRfl4zgxmkGUORqOOM8ef5cTnZ6cUuuyqBVwz8QYu++YPlL+31zdV5JkSnG+8zOV3z+Hqacupf+kRTrVbO66G9z4s5eEJcYy7eTCbPu+FlpHgRJa+PBvVVkTxx0dw1HhQ9Cas02ZiDtKw7y/C1SK53pKKNcrfaKRGow8ChphJn6L4rtvGehz7CnzTizU6yNu6h6QVqUxf+TyGdws50hDCqKRUzJobuJDBNg9Fr+/EMS6LxHmPsVDNo/iEgvHmTGaO8+W9R23s7r3kvTMdy7RE5j6xBPXVQpxaGKNSsph+rYJ2OI/XOpyizMj0nMfgld0c8YQw6pYs0qPAvS+PPc33RoB5b3Sy89UiUlcmkbp0DdoreRSfwPcMm2IEdwmvvdViOlDNwZFjHqYnmTCe2MkzxwHNxkdlkDTBACdKeq0RTqcO9t2rhNKrj/suPa892A7Y0eItpC9bQe0r+TjqFIw3pjH9dhOaG2g7krebuvTMCzaRONHcPBLE6B9JZhyXSrrJf1gnbOwpcTbnv2jrFopGLyHxjjU8P9j3DK5tUAgbkUDyrUZKc+az3b/9gO7VFidSHbeIxxaFkPeRCyXSSuYd8aiag+2vlzSvI+YsseGYZcY8YzkLtTwKqzT0kQmkzUjF0OCBXpoatmtlR2BcH+Sxd4qF1FtXsKZhGzs+dqGMSGHmHebzzR53foHee026WN8ILO8a9je3UzJxCfFTlvMY29n9SS1KZAIZd6Sib3Sx5/U9LaaE1bAfdaJNtGAKd7ClxPfkLz7gYOECC0ovBtzRDWLI4EEMYjCDgnpvxdEuq97DC68k83R2EiueVdnzVj6lVW60YAPGa+OwJsbDO/OZ/0p37r1Az3uAAqznERlPqsXgHxUa5hs5qYQTNymdpjB5bdkeiiq7cfEHXMZ3v553fhdxGa/Z2PmmjeR5FmavWoHyaj6OBgNxGTNJ1neQ80DzUm3HUQ3pI4x4CrZg00ArL8ZeN53USPAUHMHRL6PJBvHzBDO6M3b2FVT2RwaEEEIIIYQQ3SCBNr9Bw24i6d9aL0ITMuImkvy9YMvsm9hELaBjUIjvxS4k6iaSojrY2PGv2cq7fZvh3hBkwHrHQqa3OQZD4mwWJvr/p2YPrn02Wr0jV+9lS4mRmb9eQZK/4UKrKuCZVS9g62R6ROcHe7HPMmPBzt4CZ8eJqn09R016B8WH/A1oVcXYTmRhinBib9mQFXDe3RRsWI0heAkzx2WxZByAhmv/NrY5Mpg9oU1eNAfbf/MILJhL5rhUskaDVm1j58YXUH79GOlq27Xoilj/wIO4F8wlPSmLJRNb/K3Oia2olKqOXtZPvMb6dWEsvCMZ86Qs4n0Lz1BSt5Oi481DJHBV1RJyaypZ8aktM4lr/xbWb9hDt2bU7InLriD0+rTmtvfvTv8N74m9VH/8fzjx6act1lzz4tk7l88GrCV6zBR+OmNK8+eny1+k/M2XaY6ZDUwm6pf/wY+/+4zjbz6Hp+WaFCefpfyD67lh0hRG3vYJttfebNd2WvN2HvvuHcuEibdz9cu59HjJxEY3zmpIT5qOZeL0s583uLC9/gLrX215HSuYUmaz8NY2jWdRqcxd0LQ9J9uPnW289+x7hocUjYW/TiVxxmwSNQ+Ooi2sPprAmgXx0HjhpivSjm7h8Q16ls9LJX3BY6QDeBzs/N1OTPOmY+7Z1rH97iHWBS1n3qRU5q5Ibf7cVbKdZ9Z1vO6Me/82dqgZzFz6GFlN6fdv4fENBa2u90Dz7ilax8qNXpZkt0gPeKqKeOGpdexpNcOVf6RtkgVPWTF2DcBDycd2tAnxaI4j/s96SsdV4b67yXvsY4725nosXXxeu95az7qoR1l0axJzVyT5PmxwUfR/VnPkxqeZO7qX8tOVZ16ohcwFczG3aRi3zFhI0yAfrWg1e0ucZ58DJ/awerGXuYtmkzqx5TNYw2XbiaM5aBb4ver7zMHOXCeWWQt57Hb/Z3UO9qxbyZaWU0dXbmP9ZgPL/zOpxfXlwfHuM6yrSWfNrF4agdalsiNAnhKe+c0zhOTMJXHaQizTgEY39te3sHfcXFJ7GGwN7N7z62p9I9C8V+9hdY7K0gdmkzhjCfFNHabqHOzZuJ5nilpHNdx2O85GC6YqG7Yq/2eHSnE0WjD7R772Bl34EAYB1Bzl488vcJANAA3HKw9yn2cuC2clkz4vvvl3Ag13eQk7Kmtbf6XL9x4Bn/fABFbPU8wZLFwU3yZUYyZ9wdlSw765kKLK7tWwAivj+7aedzGX8c7XV7Na/xhLpyUx+yFf2aRVFfDCq3rmzmo77DPAvGh2jjg8pEco2D/2d+bT7BSXuUkNV/tvaujBt3DL2EF4P3mL18r7IwNCCCGEEEKI7viXn/zkJ/+vvzPRl0KmPEdhzs2UbZzEnS+f6O/sgJLEE+8/xa1/38ad056mrI97Sqanp7Nv377e2ZiSyIrXHiOp7jXm3/UCjsEmzMPDUU5VYj/q4pzNI9fO5Q/PTsdw6Bn+/cGdFz4w1IIaacZsVNFcDuyV7vO/RAf5phD0eDRQ4lnyxzWkenznoKOReYreiMkUjj5Iw+2qxlnlwtMbv3OQiiHKSPgQPWqjh+ov7DhqvterQ7WmDEeNGM6Ay+rRvvmEf3p6uxFRx9iVH/DKHd+yKX0yG452nnLQjN/zyRMTKF0znqkvnickF6zHGGUkPEwFTzVVxxy4zrHeXncoqgoNHrRGMMx4nv/+TxMl637Jg+/20iiJrgrWYzKbCA/yUGm34+rt3YcaMcdEog/yX7/V7a9fxbKQPzydju6DR/j3J0tQR5gxGRQ0px1b1TkyFGjeFT1Gs4lIFTxdfRb0FV0cD7/zBtnGr9h210RW/qUX7o1uPq+VwSbMMeGomrtvroELQPEfq4qbaqcTR3VPDkIlff0uFlrsbLlzPtvrDJjNI1Abq6myn+NZoPrS6RUP1Y6Or/XvLxXDtWZGXK51ep/2SFfuvW7XNwLNu4J+hBmTQYVTVTjKnbj770HALzYU8kLGIOzPTWXybzsY4XdBKRhGmokc4iv7qp1OnOc5OV2/9/r2vAdcz+tjXS7j+7qedxGX8YreVzYpDVXYy5znr1d3IS8XlO4XbNz/Are5c5l6yxOUniP/I+a8wa4Hr+b9+Sks2iMTRwohhBBCCNFfJkyYwM6dO7uc/pIZ0TYy6znenARe+0vM+c271F/oDFyXze8eSWVwkMIVIcDfL3QGep9W7cBW7ehCSpXEKckYgzwU5e/t1yAbgKfK7ls7o6saNTz+d3/FnIBFD+5DnU8no7md2Es6GbXXE40eXJV2XBfrLDLaF3iOf9GHO/Dy0e828f5ta5j+n7/gpYXvn3ddC/PsLXwwBbxlz3PH0rc7Tt/gxnnUTR/8os20pgsMA/E3mnxTFtr7IcLR4MZxqISu3NXdUhfovaHhrrRR0pVrPtC8a26ctpI+/V277KqxjDXCt3/JJbc3gmwd6OrzWqtxYKvpsyvggujTY/C4sJe4ei/d95IH19ES+iz33bj3ul7fCDTvATxj+prOzLi4wVDzNs//ob+DbAAarnIbrgBG1HT93uvb8x5wPa+PdbmM7+t63kVcxmtuB7b9AeQ84Lz0Ecs9vPLk7QwO0jEkBM77EvSjscz89zg49ATPvy9BNiGEEEIIIS4mP/hAm/erA+x8p755zRvv8doLveKFT/0Jyu3HqA0C7GV4T35G7Xm/dJGLiCd9gglDlJXUJD3a8dfI69G0QBeSQtJDL5IRVELhx0dw1miokXGkzUjH0OBg+5sl/d5DWnSg+jU2rB5B9pirMQ+Cjzppo/A69/Pajm8Z6P//05U1F/65MHI2Tz9gwllUzJFKJ54gA6ab08kcreAu2MGe71EjoehbuqsH8u0n7/PSc6/1fMpTIcTFadBVUFPK2289z/s/gM5Ylzwp4wXAt19hLzvKkCA4WmbjdPURzrW0q27kCDi4jSe2baOyX9aHE0IIIYQQQnTXDz7Qph3cxqMH+zsXwJfv8vRvLoJ123qRMjyF2dlJqGi4j+5h49otvbSe0YXhdmsYbp/O3KSz63N5qkrYvmFd6zV5xPdK5Y4neHDHudN4P8rlwY8uTH461VCLJzid1F+3WANHc2N/Zz3PbC7o5shPFcMIA2rQ+VP68uDCca7pGMUF4d23gTv29XcuxA+Hgj7SSFhwF5M3enBVnmf6Z9H3at5m5fS3+zsXordIGS8APn+bJ5Z2/b722rax0taH+RFCCCGEEEL0mR/8Gm2Xul5dow0FJVRBadR865WdN7mCGqxAg4euJP9eClLRh4cRFqqguV04e7TWjxDtKaEGDIP1qHhwVfVwnRrFwvT704juaiNcVT4bt5Z8vxrYgxRUVQHNg6eX18K7tAT4vBadUlQVNQg8dZ6LZCSznvhfzyMloovJtQp2bHzte9YRRq5f8cMgZXwbUsYLIYQQQgghLhKBrtEmgbYfuN4NtAkhhBBCCCGEEEIIIYQQQvxwBRpou6wP8yKEEEIIIYQQQgghhBBCCCHED5YE2oQQQgghhBBCCCGEEEIIIYToBgm0CSGEEEIIIYQQQgghhBBCCNENEmgTQgghhBBCCCGEEEIIIYQQohsk0CaEEEIIIYQQQgghhBBCCCFEN0igTQghhBBCCCGEEEIIIYQQQohukECbEEIIIYQQQgghhBBCCCGEEN0ggTYhhBBCCCGEEEIIIYQQQgghumFAf2dA9L0JEyb0dxaEEEIIIYQQQgghhBBCCCF+cP7lJz/5yf/r70wIIYQQQgghhBBCCCGEEEIIcbGRqSOFEEIIIYQQQgghhBBCCCGE6AYJtAkhhBBCCCGEEEIIIYQQQgjRDRJoE0IIIYQQQgghhBBCCCGEEKIbJNAmhBBCCCGEEEIIIYQQQgghRDdIoE0IIYQQQgghhBBCCCGEEEKIbpBAmxBCCCGEEEIIIYQQQgghhBDdIIE2IYQQQgghhBBCCCGEEEIIIbpBAm1CCCGEEEIIIYQQQgghhBBCdIME2oQQQgghhBBCCCGEEEIIIYToBgm0CSGEEEIIIYQQQgghhBBCCNENA/o7A0KI/pGent7fWRBCiAtq586d/Z0FcRGQ8lEIcamR8lF0hZSPQohLjZSPQohASKBGRyM0AAAgAElEQVRNiEvYvn37+jsLQghxQUyYMKG/syAuIlI+CiEuFVI+ikBI+SiEuFRI+SiECJRMHSmEEEIIIYQQQgghhBBCCCFEN0igTQghhBBCCCGEEEIIIYQQQohukECbEEIIIYQQQgghhBBCCCGEEN0ggTYhhBBCCCGEEEIIIYQQQgghukECbUIIIYQQQgghhBBCCCGEEEJ0gwTahBBCCCGEEEIIIYQQQgghhOgGCbQJIYQQQgghhBBCCCGEEEII0Q0D+jsDfU1JWcmrc68/+0HZS9z5m3ep7/QLYUSZf8pgHZw+8QllX2kdp/tRBLEJsVxzZQRXBMPfvi7jQOEBjne24euy+d2jqQxu+v+vd/Dwwm0ca+zWYQkhhBBCCCGEEEIIIYQQQoh+9oMPtOlCriAqKoraw+9S5PDiPV6Lt10qhdis33DPpFiuGRZBiM736fHf/ztTnjvWLu1N857jkTtuIuJHbf5Uf4ydax/myd3HaReeqz9Bme1Trgi6gutvuZkoBqP00jEKIYQQQgghhBBCCCGEEEKIC+8HH2hrcqJgE4++fKLTvw8fncRNw7yc+PwAn/JTbr42rJOUOqKuu4FB3/yFne8W8JfDX1Dzj0EMn5BJ9h03k56zgfqTM3j6YJtQ25fvsmnVu6Ak8cT4m4nqvUMTQgghhBBCCCGEEEIIIYQQ/eCSCbSdm0bBhhkUfHOceg2i7v7jOQJtXv6y8U72lB9rNf1k2eEDfKG8ystZUaTflsjzBwvaj2oTP3ihkdEM1Z3iG8dJ6vo7M/1JNWDUK9S7nbg950kabiRMqae2ys15kgohhOgRHUNMRi73fkNFVSClVHe/J4QQQoizzpanzqo6vMj7Y08ooQYMoQr1NU7cDRf/fs6RA/SRBkK0WlzVnu9RO1Mf5ktR0etDoM6Fu+HsfpzVvhYDdbCRsGCN2ipX37chKCqG8DBwO3FdCg0Wqh6jXkdttQvP9+diE0KIi4IE2vzqvzrexZQaJ8rbTifp+/yY7Rj1WVGEDL2SEKC2p5kKCiHi6itQgG9rj1Pb6cJyoi/prhzDxElWboo2MjR0IJw+xTdVFRzY+za7bCdbpBzCtOeKWTe2kKWmdHIv4TclfWoOW+8xUbw2jWV7zlU705Py4FYWxZay8bbF7LgUKq5CiEtK6OipZP/c2PrDM8CZ09SdrOBAUSFlX7ef1LpP6Caz/oMXmfzF4yT8YgMVZ/r4e5ckBcPoNNJ+ZsKgQn2Ng+L3dlNc1UlZqJqwpiZgbHSwd2cxrg7X7lUwWFJI/pmZYaE6vA21uI4Vs3dvKa62mw3SY56QwvjrjYQF6/DWfYn9YCH5Jc72DWCBpBVCiL40xErWHWMY2rZ1wl9efvN1BWVF+ZSd7OjLFxHdRFbveZmpX28gIelxKs7I+2NPGKeuIneWgb0rM1i1r+9KLkP6KrbeZaDwsQxyCvqhhFQSuOf5VSTXbGPWnFycHdYV+kGf5EvBmJ7D2v+yYggGbBvJWFrP4hdysJ7IZdbcbTgbVV8bgqWUjRmL2dHH940ybjG5j8ZRvCKTVUVNv38f1Pf6qg4XasKaPJ44k4GQIC/11Q5K/yefwuMdNb4oxM3ezG9vdbIucxm7W2xMiUwgzWpCcRaSV+Ts7GxhGJ1CcoIZQyhobidH/mc3e8s72FeQHnNSGuNHGQhToPavdj58Px97jdRChRAXLwm09aKQsDAUoL72a3olJnZ1Jk+9cQ8xQRp/+U0iC96SAufC0hE750VezpmM8cde6qqcOGtPMzA0HGPmEO55aBUVeUuYtWC7v9Gxjk/f2sSmT8r59HR/5/1i4aFiXx555U4qunJ5B8cx8z4r7v/eyO6uxsaFEKIfXT72bpY/NKbzBN6THHx5CXNW7MLZqwGsIUx+aDU3HV1Bzlv+lsnGCnb9fhNVfzvIN4Hsq7vf62uWbJ69S8e2BzZx8ALFKs8pyEDykrUsu9UIdS5qPTrCwtPImJLBjscXsbHI3Sq53jKTxUtmYY1QoHo39l0dNLy02KaieXDV1KMLDUN/eyazpu9g1ZKNFNY0bTCBeWtyyBypotW5qPVAyOBk0qbNYua+jSx7bPfZRrBA0gohRF+LTGH+Q/cQfa7WCe9JCl9cwJyV+Vzs8bazLo33R+PEecwylLL25eJe7chReySfvNdDqHBKO8kPhhJH5p1WDDjY8dRWSr904GlU+fCtPFyn7NRe8LqJwqg4M2pDBaU2/3XWF/W9PqrDqZaZrHokmzg9eGpc1DfqCEtKI+OOWRS/tJScPzpa35NBRuJiDVC5g9LmAKaKOX0xy+5OxqiCts/FjqKOOmXpsS7ZSM4kI0qDG1eNl5DwNDKmzSDtpaUsa7mv0Diy16xi5rUqmtuFq0GHdWIamdPT2PbYUnIPnQ3MKSMz0crzAv7lhBCiP1zW3xn4wQiKISP9BnTUUvDuAekJ/EMwegUvrp5M+NdvcO/4GKJuSGBC0gQSRscwbHQmmw6dJjpzPc/NjfZ/wcvB3+eQs3L796PB76KgYd+5mc0v7MbehZtGibGSlpSAKUzp+6wJIS4a3333XX9n4bzK1k8gKirq7L9RCfzi1zm88UUoY+a8yIuLY3t3hz+OZ/JdU0m8NvzsZ2fKeGNVDjkvFAY2PVV3v9fHopOzyJp0E8bzJ70gjNOXsuxWA663cpg1dQYzfpVBxvxcSjUjGfNnEddcdOlJmPNbtmyYxaiTxZS6O9+mIX0pi2814tm/keyMNGb8agYZt2Wy7E0HRGWweHYCvs2qJM9fRuZIKN26mMyMGcz41QzSps5j22ENw4R5zPuF3r/VQNIKIS5mF0P52Mq+pcS0LCubysu7H2fXiVCsC7aybUH0+bdz0bgU3h9V4n6RQbLFgNrLW3aX5LH5+Vz2SgfMH45gA4ZQoDKfrbsKKTzsQmt0sPfFzWx+rfTCLzURZCQh1oB2rJSP/Dvv/fpeH9XhlDiyl2QTF+xgx4oZZEydwYzMDNLmbKS4Tk/CXYvJiGyTlcFxxEWCo6wUF4BqJvPJXDbem4DnkP+zTugnLmbZJCOeoo1kZ2QwY+YM0jIXk1euEnfXMmaNbDoxCglzljLzWih9aR4ZGTOY9asMMuZvphQzM5fMIyG4KamZWQ/N6+KPFZiLrnwUQlwUZERbr1CIueshsq9VqM3fwPOFvTTHo/Y3jpcfAzSO/713Nim6LvrniUQP8JK/aQnbD7duWvRW5ZOz8HGGPp7I6TPh6KjAiw7jhMmMCTvJwbcKW41MCL0mhcnJsQwdcBqn7R127XMSOnoyVmMdZe8VUvEP0F2TwuRroWJfPmXEMvmXKcRGXA5/K6fordcprGrx9jUklsmJ0XDiILuKOxu231cUDBYrCTEGwn6kw3vqSxylxRR3NPXAGXzTJCQnEG0IgVNOSv+cT2l1yykXrJhD3dj3lfp6doWasI424nEUcqRxFGm3xBH25X52111JQnIchqAQDNdbSQ714NhfjLNf5skXQvSF7777DpfLRWhoKKrateYYj8dDbW0tBoMBRfn+BuG9p09TV9eiLKmr4+BbFRw8OhBj4XLGTJ3GmGfLWjS0hRKdPJkUi5FwFU7/zcmBvbvI/6zFNgYMYUyaFaP7IG+U6pg8axqxA8t4K/80MT+fypgwIDqRqZnRnDz4BoVV/vT/KGPX3grOlio6hoyezG0/H4lRheqKIvJ3+sqmVvtp/p6O6AmTiQ11UvjWQbzXTWZacixDB57mm6P5vL27jJPtRr514XgYwpjb/cdTVI0xcRqTbh5J+IBTOG35vP5eGXVnmvIzkdtSRsIAL9dPnQq1FeS/V0Zdf5WPShwZ6XEoVXmsfb6weUpHz9FtbHzMhREnXzb1RFaGkZBooOL3y1j7mpdZf7ASF9TRRlXiLNEoDXa2PrMDR1Mx2+imeMurFN+agzUmDlNQMfagUcSZVbTjO9j8h1LcTfuqs7N124ekrUsjOjYaZU8xmhJA2r46X0KIgPyQy8dWzvjKylYxp7o6Dv5pA3d+MZDi9+9nTPpkol9oPY2x7soxTLzFSmzEQDj9DeVF+ewqdtI+dnWe8q7JgFBikyeTaDESPgBOnSij8L0PONhyqudOyuDtzzWNUA8l+pZpTB5j5PIz1Xz653fYZWufn3bvj2GxpEyIxlu2i8LjoYy5fRoTrw2H09WU//l13jjUdjyfbxuTxhgZePobyt7bRb4DYpNTiB7gLxuh394frRNnYDUp4DYxdmIy9a5SCg97MFismFUXpfudhE1IY/xPNUp37KDUP0pbGWwm4WdxRA8JQWmsx/VlKR8W2XG3KJjUqAQShiu4ygqx1wChJhJGG9EchZSeUDFPSGHsT8PAW8uXB/PZe/QcPVu6oSt5DDxPKsZxKVhHGQhprKXiQCGF5R3sOyoB63BwHirGqZix/nwsw8Kg/vOPyC+w424EJSKOFGschhCor/iQ3fsc7QJVXT/Pvn3VRqaRNtaA+y+vsruyszOjYhqXgDHYg/NQMY4u9tJSRySQcI2JMIBgI2MnJuN12ym0eTElxmFocFB4vumtgw3EjUvA/FMDusZ6aj8v5sP9jta/CYCixzxuPKOMYYQM8FJ/0knp/xbiaPtzRCQwKhKcRcW4oW/qe4HUywJIy8gERuk1XPty2Vzkaj5vWuUOcj/IIGGGibhRCnktprtUx8RhCnKx+6D/GRE+lpThLvJWLGbrX5PZnBjn+33aMZByWwJqQzEbn9mBo6mNxl1K7uYdWJ/PJC0jjq1ritFUK2kTDFCey8Y/2puvSc/RPDb+aTy5d40nLXEzxR94UCxppEVBbof79LlkykchxEVBAm29IOKW3/DU7FiozOPhJ97t+dpsTb7eycN37OytrYlu0TF06FDoqA//Z7nMmdKyyA8lZfGLvjn29xb659jXEbsgj9dyrAzBy8mv69AtXcHy93LIDVrOqls+JecG38tdePIDvPjoELYv2kTofauYOLCaai7HOCSU+5dms2HaL3i82Pdyp4vNZv1LWYS+M4dhHb5E9pFgMzOfXE22RY9W56a2AUL0elTFg+P1VSx93l8BBUBDG5LGqi3zSFBqqSUMg15hZlYa25YsIveoBqgkZOX41mgrKWWHB5Thacx7JAPPqxupSFxEWgRQ8nfqGu9iTryv4pQwYxlxmoOtjmK2VV2ogxdC9LWamho0TaOmxtfKcr6XJY/H05zW5XIRERHBgAEXWdWm6iCffgNjrozEOABfoC3UyvI/vsz9CaF4a51U1wVzecQQ7s9ZQeGTM8n87UHfcz8onrufepGphx/n8rq7WXf7EKh9g7/pjDy4cAyhALes4Lnk0xQuz6cwz8r8jf611vb5Gyl10WQ9v5X1v4xG94+TnPyHjtAh97NiST6rfz2LTTYvBLX9XijWxS+yLi6fx6+Eux+xoqurgx8PIfTHy1l+aAN3Tnucwqais6vHo7uemWtfJKv8cbhlMuvvMuL9xotu6BBCdcu5509zSL/7DZxB8dz9+HomX6kDxpC9JpbTVbnc+ecySvqpfFTMVhLCwflKfrsR2s5De2nVpKl9Sd6D2bhOeEAxn2OrHnavSGN3R39q9P9D8zWcaMWsy0xhXUdpNQ0voGtqjAkkrRDie+GSLB/bqiin3AvRYUMJD8IfaNMRPes5tj4+legBdTirvgG9EeNDq3C+s5o7526irCmI1pXyDiByKs9uW0/WdaF4Tzpx1gUzNGoIyx918sbyTBZsrThnGVy2eRdOosn6fR7rJxnR1TmpOAlZ9z7A3S/mUt3qoDp4f4yaxqoX7uH0C/ey64YVPBAH1bUQfuUQdA89QNaDvyD9xQrf1wdEk/VSHutvN6L7x0mcdTrCH15BybqnqLpzHVn/2MCEvWWUnem/98fs+zIxBgNqCovuS8GzbxXFh0t974AxhWz+o8qsu+NQcaF+tJvSGg1jag5rFydjCNJw19TiVcIw6LOZV7WbtUvWsdd/Eg3/lk3OLAN7VxZj36dBRArzlmeivb6OD0dmMysGausgbLAe5a5ZpD07j8V/6p0gY1fzGFCegoykPbqWRYkGFI8LpxvSZsxiyps72rUxhSXMIue/9Ox+djeGrFlEN3rQVD364JnM+Nkqlr4/imXL0zA0eCBUj6pkkvHOKrLXFzYHNrp6DGHWbHLuUtn9bCHR/5WJSQH7P/M7CbQpmO9cx7q7TNS+s4pFBV0/p4bxs1g8zYQaBET5rhfNtpnisnpmLPGv0XZoW6dTW6vXZpKzMpuEcHCfcFEfFIYxPJt5x/ey8ZFV7Pa3GyhRGeSsmYc1HDzuWuq1EMIGqyj3ONn99DLWfXB23JY+Lg4TLnYc8H3WJ/W9PqrDaYc3k33L5o53qfkyr7XqGKcQZxmFUldM6TH/wVXvJmdOLq46oO3ot5bUOOJGKFBZSnFN6z9p5aWU1mSSZvZ1DnPExjFKBaettN1v6SwuxXWnmVFxo1A+KMYUNwo95w6QS/kohPg+kakjeyjkZ/fxVM6tRNQW8Oh9azhwqr9zJHpLxXv5lHkh9r488nKysA7XBb6Ra+az/mErQ77exb0/G0bMDTHE3DiLdyIe4IGfhwLg9b/lNJwBCGfyw1l4nxzPsBgLlpgYEh7Mp+7HsWT/52SacuCtLaNwbz4fHL6wKxQYJt/DLIuK/ffZZNyW4Zt64LZs1u2rxzRlEbOua9kbSCHul2nUb8kmLWMGMzLSmPVsMR7VTEamlc76DWleDa0RwhIziLZvZPF/zGDG+vd5/aEMlr3lAlzseCiNlLR5EmQT4gfmxz/+cfN/19TU4PF0PkFMy5ckgB/96EcX50vSwCEMDQXq6nyjtYAx963j/oSBlD2XTozJgmV0DFE33sn240OwLl1N9vCmL5/mdCMwPIusiLeZMzEBS9IK/rDmF8T81xvUAWXP/gLD1VFkbu24O3Hsvc+x/pdGyl/MJGZEDDExUVw/PZfyoSms2PgAsR2eUq8vyPNjKw/MhudSY4iKiSFqRAL3/slJ6Oj5PDbv7FSYXT8efCOhY+ezfFQ+d14fRcwNMUSNSif3MzDePp+s6wDvLubcMJ6nbEDdLhaMMBD1sxwKvf1XPqrDjYThwfm5C70ljewlOax6chU592WTdl3baRjdvkaXblMwpacRp2o4Sz4691pqipGUX47HgIuP/rf03L3AA0krhLigLsnysQ3dNdczUgec/Aan//1JN3oFW9dOxViRS+aNUVjiE7Bccz3pvy3j8kkreHHpmOb3py6VdwOMZD+3nqxrvOx6YALDYiwkxMcQkzCH7d8Ymbr2OeZf15SjjsvgD7ww5FerWDXJSN17S0mIsZAQbyHqxjl8enM2E0PPc6D+Z/rIX93PxM+WkDAiBssNMQxL3cDBf4RinZeN1X9QQ361ilW3G6nbm8OEmBgso6KIyXgJZi9n2lDgDDQt/dZf5eOsqZspbQTKNpN5SwoZawrR0HwN/YqJDCvsWJnNjF8tZmu5Bvo05t2TjMFTyLr/SCMj0/cemf3/laJFpnHPzIRO3yObzp3x1pmMPf5bZjW9r87fhr1BJW56Rotp/XogkDwGkCd96jzmJRrw7N/IrIwZzJo5g7RfraLCkkFCm9iBtxEgjPHT43A8nkna1Awypi5mx3HQJy5m3VwjHy7JIG1qBmmZOeyuVjAkpZHSVCUJ4Bh8QZkQ4tLjqH15Gdm/msGqXR1PImicvIrVd5qpL1jLsqcLzxMiac2xZR5pmf7rxbaZjFtSSHtoR9emi1QTmLdyHgnBR8hdlEHGr2YxKzODGSt344pIZtHSTIxBACrW2dlY9U7y7s/0tVNkppE2M4fd1QbS5mZjDW7eKHGjo1HqSikt99WKLmh9r6/qcIOtZCaZoK6Y4kMtUiqjSIhV0Y6VUto0Is3j8gXZzifcgEEBj8vVfuCB5sRVAwz2pVGvGoYeDddfOwh6n3DhagT9VUZUFAwRBmg814SVUj4KIb5f5InSA8p12Tz/5Exi/vkX1tz3MO9+1d85Er3q8FPMeWAoL67OImXxs6Qsfpa6qjI+PXiAoo/yyX+nkLKT5+4LGD1pMmN0Xg5ueYTtDl9a79f55Ny/jcSC+2m/Io8O7583sCCvaUovLxWvvE5hTgqTh49k5AAoOwPYcpkz/VwD6PuG4So9CrVUlDnPVngbHOx+ehlf5oHreMsqnYJWksvGD5qmd9Bw7smn9O4ErFcNwxgEjo4aBxt9qfXKEdY+veNsJa/zVyohxA9EUw/Ephegznomtn1JUlWVwYMHX6Bc9qIBQ0h5aD4TQ+HkO7so9BcpJ//8PEuroeJPLdZE+3oXue9UkLU4mpssOjZ94U98BrjSS1F2Dm8cajkZZBforGRljkF38g02rMqnqUg7ufdxHt9sJHs4GPVQdo4X7LKXl7LJ5k/grWD7qlxmTlrFmFsmE7ve14s+oOMBGFjB9gcep7CpLbC2kO3vVZB9zUiio3Vw+Bxlbz+Vj2FhYShoqD9bxZZxw6iv/JJaQhg22krypDSsmxaR86fzTHd0Tnqsd2aTcFUIhuGjGBUBjrfWsnaLvf02g+PInJ9MtBqGISYOk+Jk77Nr2bi/g70HklYI0W8unfJxIAN1bUqwgaGMTJzJ/b/JJnpAHbte3uYfNaJj4uxpROuc5C7PIf9rf/ozJylct4LXb3+f7MyZWJ84SD5dLO+GZpE1NhTvRzk88vuy5lFf3i/eIOfZaUzbmMK0qWPYcPigf190UAaHMnGSldAzFWx6OpeKpo+/zifnt/nctnUqQ855DnyhMZ37HVas3NUcVPQeeom3D9/PmNHRRIdC4clQbvPvZ8OTZ0fu1RVvYOGziRSvsbbebD+Vj53xNgJKGO4/LyN3X4sG98YKdr+0mdJTxexuntJOw7FzN6V3xmGNGYUxqLjj90h/iajUFbLphbPT+mlH3+TDypmYrzViVDnn2qhdElAeu5onlbGJcaiNTvK27cDZtNmaYjZvK2b86mTar56qUH9oG7mH/AfkOUK+zUVGlIH6/ZvZdtT/xu4upvCQm7RJBgwRCri1gI7BF9RTCfnrDtZubzGDTZvXc33iUlbdmwAlG1m2Zq9vWYgLRP/zDFLCwfH7jWyzNbVUaLj2bSTXOpZVE9JIG5nH5vIwhg1RocHJEXuLuXhOFLJx+Tx2B9eePff+aRo99lKO+D/r8/peX9XhRmawKGMUIaEGzLEmQmoKyV25lt0t74URvqkmj9g+CngtPOVyFSUI6jsMctXj+SegqIQEQ1iIAmho9R3kU6vH0wAEhxAWpBCiKnCe8beXTvkohLgYSKCtm5SRmWx4+h5iG8vYdN/95JVLg8QPj5eKV+5lwjvPk/LLaUxOtnJTXCzWX8Zi/WU2yx8/ycE3nmLJitxOGiF1jIw2AtV8+knrSUL4bBf5jvuJNbXf57GDha2rEmfqqPsHMHBg1xpO+1DFpw7ct1tJW7IK7U+7+fB/i7FXa1DnxN7uHGh8eexI60pmo4f6BkBRzhs20xz2FkE2IcSl4nwvSxfrS1L0jHXkjW0RCNNdTvjIWKKH6PAezmXBqvzmZ79z33Zy9wGhRmITjAy9PJSBAyB0CMBABg5ss3H3AQrPFXzqzNDruD4S+OgAJa3Wp6kjf1Um+c2Z7eT7Z5wc+Eub3qjfHObTEzAmMproIF/nkICP58SnHGwzYrnulK+QaZf2e8K3voOeOEsFG+dnsqPS37AWmUbO00ux3r2IjOLF5J3o5g6CQjCOGU/KCAUlGNzHj/BlrdZxQ45iIC4xhbhgBSXIg6vMiauz5YMDSSuE6Fc/1PKxleR1HHd1OCka1FWwa+UC7n3F3wtjQCw3xQ6Bunwq6oxEt3qvqqOiog6SY7kpGvLrulbehd4Sy8gB4DxURNuxFnUHyyg/k8LI664nlINnO460LYN11xM7XAf/KOfTw6234f3oAMe85wu0+fdXdoCy1ovVUXfKCwQTqgJ11xM9XAd1ZZQdbf1d5zv5lK22MqYL++lXjS6OfNrmTNc5KNzpABT0kWaGGUJQFQWUYaiNdOk90uM4gqNVAenBU68BOtTgTr4UiG7k8bx5UqIxXaVAg5OKNlMyamVH+FLrKNCm4XJUtKgLaP7RPB6cFc5W6eo99YCC0lSn68YxOMtKOx2hplqyyVmeRljZZhY91iJQeEEoRJujUXDh/CsYI42t/upyuiDIhOkaPRx1UXrs/2fv7uOqru//jz/14DmKCAmikugpUVxoLlgr1K/Ilhcrw2lF+lto35S5ha5p5kUXZs4uTEu7kvZNsE1t07B5lWVoDXEFzQZNhSZo7SgGipAgguck9vvjgHJ9cQAP4ON+u3ULD+/P5/P6fEA/F8/P+/3O1tRBozX3hXPy2Zmo5M9TZCmSbCczlVZxrYOCFeRhU8YXKWXBk7Hlr/da6BrO2HOggkeGyKuLUUZbttKy8lRU5dbB/NMgmWVR4gEHkmiDUSZJ1hpDMZtspfbfdaPR3laSbLUFsaXlbYwyutiXr881cX4E0CYQtDnihol6ftUi/Y/pP4qZN1sxh1roKqLvVP3ful/rJheb/vHiXXpiN2GeUxRkaM+657Rn3XOSJI+BIRrzi7sV8eBUhTywQu+6nVXIQ1tU0yAcHh6d7UHZmSoXHBctOnVKUrWgTbJaL1T/8GL1j5yh6OMX9ZSXTXMjRmvyI8Ga/IhNRSczlbJ/lzZt3qW0Ktdk5WN/V9LAN9uKCppttkMAbUxtN0tVv25LN0mdu/ZWr14V/n2/aFVOyk7t2R+nDev3KKPig7/+YVq2/A+KCDXLw0WS1SrrRUku9lvYagoKdNaRt4Z79paHJGvB2ZpmIm2AAuWcqvJRaY795ZB+Hrqus+zlNnZ/rNZq+1PSSs6DtSk/31k+jLn80EWSbMd3KWbnJIVMH6LgYE9tfs/B1+hLLdowe7w2SDJ6D1bI5FmaO32Zhg1coaindqnSoDoFu7Rwwi5JRnkOCEEfkckAACAASURBVNY9M+dq6pPBGuwVpbl/rfpAsxFtAThdezw/VpK5Uy9vy7jyZxd/hUWFyT9vix4cNVM7K94eGK6Th5ckjzFa8emYWlboIQ8vk2Rq2PnuOq/rZJJUcCan+jdPn9JZSSYPD/VyqTCDd7VzsIeu85B0vqD6torOqqCGW72aWC9Ub3ih0rmwfDs17FPecVkK1PqDNhUpr9pp0U2D752ruREhGuhZ9kDeZpNKJWMXqSFjEdZ0D2pt1t5Vja+x/prc1M1NUsm56r2JSs6pqJZHQdXWe7H88+beB5vO1XZ/7hmihU+bZe5iU1pqiixOeFnWy8NNkqdGP71eo2tp0+06L0n5SnlzsVYY5ipy7CRFBU5SVGmRso+kKPnvW7V5W8rlXoc+tw2RjzK163IXSFvLX++10DWcbf8KTdm/QjK4yXzreEX+PlJzVg2R1/yosueZngoKNEs5W5XkSEhYPj+csaa389zKAkqrbEX2qULsoWVNKyr73HbOPsSs1f5ZQ7T78yOANoGgrYzXz2fp8fE3SpJM/fpIknqEzNVLN9hfCflm1wta80meZLhRU59+XHdcL537plA3Tlmil6ZUWdmpj7Xm5Q/1TVMv5gwmuXfvpm4Gm7o5uysTLivITNSWzERt2bxfb33yZ933iwhN8NqimJquO8tvhqr9TTNJhpats2UUKe3dZYrctkYDbx2m4J8GKSgwWCFTFigkNFjLfr/4ysTPANAEdd0sSfYeRG3pJulg7DSNW51Rf0OXoZq39i3NurlAe1Y+qMXr4pWRZw+jzL/7SKlLqw86rIv1DapSi9Kyh3guzdlNrGxdpVb7A0FH9qcNysvLk01m5Z2tfjGQbbGoSAPl5WV/wNNUttw07X3jKXW7cbPmDJ+k8QN2KeZojS2VfzRRMX8wyvyXxQqZOElB772ilBofvjWmLQBnam/nx0ose/TSCxtVcSDk+M77tOPhMM2L+qnilx2oMvKHpLw9WvzrNTpU4713iXIOWqX+DTzfXb53q6Hbk6Hshrz0gv1lEcOVZaqdg0tV85MWl1o+d1StzxtMMrXSHuD1cQudq2cfGS23o7u04g8btOdgtr3nizFYCza/qPHOLlAtWGOpan5GYKjl8yZo1n3wNMvr0F4luoUo5MHFikyLVHTq1b2AsIeW2dr70grtyqq5zbnssvCpJFO7VkZp15tmBQ0Ptj/TuDVYk2aFaMzt0YpasFmWUh8FB5ql41uVUiF4unrXey10DVdaJMvnm7VslY/WvzxJk+4L0fpDe2VzC1LQQKPy96dU6XnZwGqzs5VfKg309Kn+TYOXfK6TVJCtbJuUnZsnmwbKq6eXpCrzr3l4yauLZMvLV16pTdm5+ZK8GlxHuz4/AmgTCNrKuN9wm+74eeWHPd0G3KY7Bti/Ppi2RmuUJ8kk9272Nyq63Xib7rixhpV9863W68OWLRgty+SvkMlhGtn1gN54M7HmNx9Pf65/H5fu63mdPDyl6rO+SqfyCiSX3urVq8qcMqYfaahfC9V+NdjylfnZLmV+tksb5KaBD65Q9PQQTRk/UHtjM51dHYB2ourNUjmj0Sgfnxpu5NqDG8co7GaTrEkv6Xcrd1boLW2SuU9DBptqhOOnlFMq+fcxy+wiZVR4U950vb/MXc/q1PHTdbz976He10v6tsJHhl7q5SWp4JROXbzK++NERRkW5SlIPj43yKj8SoPcGLu5ySip6FwjZ7wwmDV6xiQF6bA2xFad66RI2flFksFNntcZpT7BmnpfsLy+3qpXdlY5D5eUTWTv7SVPg6Q+IQ1vC6BVunbOj1YdWLFAG8ZtU2TUSj324Tg9Vz4XWqlFlm8l3SwVHEpUYl2DYTTwfJdzPEcFknqazTLJUilAM/Xvrd4uUsHJU6rzvcLSHJ0qkNSvl3qV9+wu188sc3O9QFu+net7qadLle34D9KgNvmirlFBIcHyVLa2vvmKdlUMa9x85OMmNXryqGbXQjWW5imvSFJvL3nZp7C6orePfJp1uvJm3oeTW7V4/is63GeqXnk1UpMXzdHhh1cosenvFjVYdk6epG7S2cNKaWjIV2RRSrxFKfGbJaNZk5ZGa87wSZoUuFWvZAYpaIBR+R9Xng+wRa73GnNd1oi2nrdO1pQQH+X9PVqbqxwTW3ae8kslH49ucpNUFDhMQ9yKdDjlsGPzy+VnKiNXGmweqCFGVQ75PIZoYB/JlpapDJtky8iUpTRY5oEDZVR25WM42F9mg2Q5mqEi2ZSR+V/Z7hzSqFKunfMjgNaoo7MLaC2+WfegAgMDa/3vwXXf2BuW/kdrwmtvFxgYqMB7VulgcwxN8N8Y/b9bAxUYeLt+t51Xiq+u3rr7kSc17+kVejLUo+Ym/SdozE2S8jOUcbymBlb9+9B/ZFVP3TZyaKUpbnreN0Nh1zd/1S0tZMYCLZ4ZoirTysqSclh5ktzc6h8zv+lMMvLwD7hmVB3eo/wmqWPHdnoJ49bZ3ies6vBW/cM1696yOScMDX9NvXNdr1QVJGr/IavkP0ZhlYYy7qmpb+xT8qfvKrJfHcu7+GvkmCo90gJCdFtPyXrwoP5tbf79qV6DWsVrY7Yje5R4UvIZOV7BlSZR8dSo4UNkVLYyDjd+SGSfWydp/JRpmjSoytnVOFBBP/KUbPmyZNkkm5eC7hyvSRGTFOxWZSX9gjSkt6ScbPucKY1pC6DVumbOjwWJeu6ZjbKYhmr2i49paPlN1cUM7UnKkEy36b57zVUW6qkx81foyekh9vnQGni+sybt0T/PS+aRd1/ZTplBY8bIX1b9e39i3b3IL2bo3+kFkunHCqlyH+l/91gNaq5zVvl2ut6ukJ9VLNZDY2bcJ/9WcG6srGF3iUajUSq1lc1fdmXZoF9N0pDy+Z2cfC/YIjWWWpTxdZFk9FfQrZVPzuaQYTI38z436z6UFCnPJtmObtCytckq6j1ec+ePl89V+znZlHkgRflyU9DPqj6rkHzGRmrOjNEa6CbJM1hT5y/TnLuqBC42i5LTLJK6qVsXyRgYpCFdipRyoHLw1CLXey10DVfk5q/xv5ykafeOqTa/n2fQEJkNUn5Otopk1JCgwfK0ZSjlCweTbNthJX6eLfUZpdG3V/n9vWuMhhhtOrw/2d7P75t9Sv5Gcrt1vMZU6lzmozF3BcvNlqnkffYQMf/TRB0uafwTpmvm/Aig1Wl1l18tZVDE6/rb3ZI1ba1mPvOhrvo87zdH6v+evkveBqN6dJP03dUuAI1iTdRLy7ZozB/vU+RfE+S/ZYv2JB/R8bwCqWsv9RsaovDJ92moR4H2LHpJO2u52zq9baPi54cobObreqvoJW08UCCPwHDNntFbGV9JP61hjraGMIWuUPJfI3Xd7pn60UNbHBsyzBG9h2n02FHy6eKl9Z8cVnaBTW4+QzRq6nj5lGZr66eZjr0B1SA25RUVSfLRkJ+NUbDydM6SrDSGqgTavfI3EwsKCtr/TVLGQR3Ml/x/NlvL7rUoJt2q3kFhmjX3Pl3Ymyjr5BD5/zRE/rsTZalropn8szoryRwarvuSeqkg79/ak16lzcUMxbwWp4h1EXos5i1dWLFR/8z30G33ztNjoSYV7I7RlkxJtb4VX6Dek1/TW3nP6Y29GbrQZ6RmPxspf5fT2vJOnL33WnPtT1UXz6qgwCp1HaqwaWEq+KZAlr8nyjLMSedHW5o2xe7VmCdHa+FKq3z+kqjMIjcNHj1N04a7qejzGG1OLztD9gvR1DH+9sNq8JS/mySDv0b/b6SCSiUpTylbtyol36Jdm/fqnidHa/Jzr8jtvV1KtpyTupkVfNc9Gt9Pyv/4b9qTI0l7tPnDSRpyz3gtftWkrTuTlHHaJqNvkMbfO16DjUVK2bnL/lZ2biPaAmjVrpXzY8H7z+q57WP11i9n67VHd2rcCwdllXTw/17SznvfUtjiP+s1w3PasNeiAg+zQi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pathlib\n\nimport datatable\nimport ipywidgets\nimport pandas as pd\nimport plotly.graph_objects as go\nimport plotly.io as pio","metadata":{"execution":{"iopub.status.busy":"2023-03-13T23:01:54.930345Z","iopub.execute_input":"2023-03-13T23:01:54.930754Z","iopub.status.idle":"2023-03-13T23:01:54.937579Z","shell.execute_reply.started":"2023-03-13T23:01:54.930721Z","shell.execute_reply":"2023-03-13T23:01:54.935525Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# configuration\npio.templates.default = \"simple_white\"\n\n# constants\nDIR_DATASET = pathlib.Path(\"/kaggle/input/asl-signs\")","metadata":{"execution":{"iopub.status.busy":"2023-03-13T23:01:55.281977Z","iopub.execute_input":"2023-03-13T23:01:55.282440Z","iopub.status.idle":"2023-03-13T23:01:55.311693Z","shell.execute_reply.started":"2023-03-13T23:01:55.282402Z","shell.execute_reply":"2023-03-13T23:01:55.310299Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"def index_dataset(dataset_dir: pathlib.Path) -> dict:\n    train_df = datatable.fread(DIR_DATASET / \"train.csv\")\n    sign_2_participant = {}\n    for r in range(train_df.shape[0]):\n        row_dict = train_df[r : r + 1, :].to_dict()\n        sign = row_dict.get(\"sign\")[0]\n        participant = row_dict.get(\"participant_id\")[0]\n        path = row_dict.get(\"path\")[0]\n        # print(f\"{r} {sign} {participant}\")\n\n        sign_2_participant[sign] = sign_2_participant.get(sign, {})\n        if not sign_2_participant[sign]:\n            sign_2_participant[sign][participant] = [path]\n        else:\n            sign_2_participant[sign][participant] = sign_2_participant[sign].get(\n                participant, []\n            )\n            sign_2_participant[sign][participant].append(path)\n            \n    return sign_2_participant\n\nsign_2_participant = index_dataset(DIR_DATASET)","metadata":{"execution":{"iopub.status.busy":"2023-03-13T23:01:55.756020Z","iopub.execute_input":"2023-03-13T23:01:55.756846Z","iopub.status.idle":"2023-03-13T23:01:56.756256Z","shell.execute_reply.started":"2023-03-13T23:01:55.756797Z","shell.execute_reply":"2023-03-13T23:01:56.754822Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"def assign_color(row):\n    if row == \"face\":\n        return \"dodgerblue\"\n    elif \"hand\" in row:\n        return \"red\"\n    else:\n        return \"green\"\n\n\ndef assign_order(row):\n    if row.type == \"face\":\n        return row.landmark_index + 101\n    elif row.type == \"pose\":\n        return row.landmark_index + 30\n    elif row.type == \"left_hand\":\n        return row.landmark_index + 80\n    else:\n        return row.landmark_index\n\n\ndef visualise2d_landmarks(parquet_df, sign, participant):\n    connections = [\n        [\n            0,\n            1,\n            2,\n            3,\n            4,\n        ],\n        [0, 5, 6, 7, 8],\n        [0, 9, 10, 11, 12],\n        [0, 13, 14, 15, 16],\n        [0, 17, 18, 19, 20],\n        [38, 36, 35, 34, 30, 31, 32, 33, 37],\n        [40, 39],\n        [52, 46, 50, 48, 46, 44, 42, 41, 43, 45, 47, 49, 45, 51],\n        [42, 54, 56, 58, 60, 62, 58],\n        [41, 53, 55, 57, 59, 61, 57],\n        [54, 53],\n        [\n            80,\n            81,\n            82,\n            83,\n            84,\n        ],\n        [80, 85, 86, 87, 88],\n        [80, 89, 90, 91, 92],\n        [80, 93, 94, 95, 96],\n        [80, 97, 98, 99, 100],\n    ]\n\n    frames = sorted(set(parquet_df.frame))\n    first_frame = min(frames)\n    parquet_df[\"color\"] = parquet_df.type.apply(lambda row: assign_color(row))\n    parquet_df[\"plot_order\"] = parquet_df.apply(lambda row: assign_order(row), axis=1)\n    first_frame_df = parquet_df[parquet_df.frame == first_frame].copy()\n    first_frame_df = first_frame_df.sort_values([\"plot_order\"]).set_index(\"plot_order\")\n\n    frames_l = []\n    for frame in frames:\n        filtered_df = parquet_df[parquet_df.frame == frame].copy()\n        filtered_df = filtered_df.sort_values([\"plot_order\"]).set_index(\"plot_order\")\n        traces = [\n            go.Scatter(\n                x=filtered_df[\"x\"],\n                y=filtered_df[\"y\"],\n                mode=\"markers\",\n                marker=dict(color=filtered_df.color, size=9),\n            )\n        ]\n\n        for i, seg in enumerate(connections):\n            trace = go.Scatter(\n                x=filtered_df.loc[seg][\"x\"],\n                y=filtered_df.loc[seg][\"y\"],\n                mode=\"lines\",\n            )\n            traces.append(trace)\n        frame_data = go.Frame(data=traces, traces=[i for i in range(17)])\n        frames_l.append(frame_data)\n\n    traces = [\n        go.Scatter(\n            x=first_frame_df[\"x\"],\n            y=first_frame_df[\"y\"],\n            mode=\"markers\",\n            marker=dict(color=first_frame_df.color, size=9),\n        )\n    ]\n    for i, seg in enumerate(connections):\n        trace = go.Scatter(\n            x=first_frame_df.loc[seg][\"x\"],\n            y=first_frame_df.loc[seg][\"y\"],\n            mode=\"lines\",\n            line=dict(color=\"black\", width=2),\n        )\n        traces.append(trace)\n    fig = go.Figure(data=traces, frames=frames_l)\n\n    fig.update_layout(\n        title=f\"Sign {sign.upper()} by participant {participant}\",\n        width=500,\n        height=800,\n        scene={\n            \"aspectmode\": \"data\",\n        },\n        updatemenus=[\n            {\n                \"buttons\": [\n                    {\n                        \"args\": [\n                            None,\n                            {\n                                \"frame\": {\"duration\": 100, \"redraw\": True},\n                                \"fromcurrent\": True,\n                                \"transition\": {\"duration\": 0},\n                            },\n                        ],\n                        \"label\": \"▶\",\n                        \"method\": \"animate\",\n                    },\n                ],\n                \"direction\": \"left\",\n                \"pad\": {\"r\": 100, \"t\": 100},\n                \"font\": {\"size\": 30},\n                \"type\": \"buttons\",\n                \"x\": 0.1,\n                \"y\": 0,\n            }\n        ],\n    )\n    camera = dict(up=dict(x=0, y=-1, z=0), eye=dict(x=0, y=0, z=2.5))\n    fig.update_layout(scene_camera=camera, showlegend=False)\n    fig.update_layout(\n        xaxis=dict(visible=False),\n        yaxis=dict(visible=False),\n    )\n    fig.update_yaxes(autorange=\"reversed\")\n\n    fig.show()","metadata":{"execution":{"iopub.status.busy":"2023-03-13T23:01:56.759069Z","iopub.execute_input":"2023-03-13T23:01:56.759645Z","iopub.status.idle":"2023-03-13T23:01:56.788227Z","shell.execute_reply.started":"2023-03-13T23:01:56.759593Z","shell.execute_reply":"2023-03-13T23:01:56.787052Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# ipywidgets output\nout = ipywidgets.Output(layout={'border': '1px solid black'})","metadata":{"execution":{"iopub.status.busy":"2023-03-13T23:01:56.958610Z","iopub.execute_input":"2023-03-13T23:01:56.959734Z","iopub.status.idle":"2023-03-13T23:01:56.967658Z","shell.execute_reply.started":"2023-03-13T23:01:56.959685Z","shell.execute_reply":"2023-03-13T23:01:56.966039Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"sign_dropdown = ipywidgets.Dropdown(\n    options=sign_2_participant.keys(),\n    value=next(iter(sign_2_participant.keys())),\n    description='Sign:',\n)","metadata":{"execution":{"iopub.status.busy":"2023-03-13T23:01:57.614927Z","iopub.execute_input":"2023-03-13T23:01:57.615495Z","iopub.status.idle":"2023-03-13T23:01:57.626671Z","shell.execute_reply.started":"2023-03-13T23:01:57.615452Z","shell.execute_reply":"2023-03-13T23:01:57.625429Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"participants = sign_2_participant[sign_dropdown.value].keys()\n\nparticipant_dropdown = ipywidgets.Dropdown(\n    options=participants,\n    value=next(iter(participants)),\n    description='Participant:',\n)\n\ndef refresh_participants(v):\n    participants = sign_2_participant[sign_dropdown.value].keys()\n    participant_dropdown.options = participants\n    participant_dropdown.value=next(iter(participants))\n\nsign_dropdown.observe(refresh_participants, names='value')","metadata":{"execution":{"iopub.status.busy":"2023-03-13T23:01:58.233816Z","iopub.execute_input":"2023-03-13T23:01:58.234278Z","iopub.status.idle":"2023-03-13T23:01:58.245679Z","shell.execute_reply.started":"2023-03-13T23:01:58.234205Z","shell.execute_reply":"2023-03-13T23:01:58.244301Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"recordings = [str(r) for r in sign_2_participant[sign_dropdown.value][participant_dropdown.value]]\n\ndef refresh_recordings(v):\n    recordings = [str(r) for r in sign_2_participant[sign_dropdown.value][participant_dropdown.value]]    \n    recordings_dropdown.options = recordings\n    recordings_dropdown.value=next(iter(recordings))\n\nrecordings_dropdown = ipywidgets.Dropdown(\n    options=recordings,\n    value=recordings[0],\n    description='Recording:',\n)\n\nparticipant_dropdown.observe(refresh_recordings, names='value')\n\ndef play_recording(v):\n    with out:\n        out.clear_output()\n        display(\n            visualise2d_landmarks(\n                parquet_df = pd.read_parquet(DIR_DATASET / recordings_dropdown.value),\n                sign = sign_dropdown.value, \n                participant = participant_dropdown.value,\n            )\n        )\n\nrecordings_dropdown.observe(play_recording, names='value')","metadata":{"execution":{"iopub.status.busy":"2023-03-13T23:01:59.036594Z","iopub.execute_input":"2023-03-13T23:01:59.037033Z","iopub.status.idle":"2023-03-13T23:01:59.051080Z","shell.execute_reply.started":"2023-03-13T23:01:59.036990Z","shell.execute_reply":"2023-03-13T23:01:59.049463Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# GISLR Dataset Player\n\nChoose **sign**, **participant** and **recording** to play landmarks sequence from the GISLR dataset.","metadata":{}},{"cell_type":"code","source":"ipywidgets.VBox([sign_dropdown, participant_dropdown, recordings_dropdown])","metadata":{"execution":{"iopub.status.busy":"2023-03-13T23:02:01.528402Z","iopub.execute_input":"2023-03-13T23:02:01.528816Z","iopub.status.idle":"2023-03-13T23:02:01.540557Z","shell.execute_reply.started":"2023-03-13T23:02:01.528780Z","shell.execute_reply":"2023-03-13T23:02:01.539307Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# the player will appear below once landmarks are loaded\nout","metadata":{"execution":{"iopub.status.busy":"2023-03-13T23:02:04.137639Z","iopub.execute_input":"2023-03-13T23:02:04.138037Z","iopub.status.idle":"2023-03-13T23:02:04.146737Z","shell.execute_reply.started":"2023-03-13T23:02:04.138001Z","shell.execute_reply":"2023-03-13T23:02:04.145303Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]}