Explore_the_data.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv(\"./Data/data.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/ipykernel_launcher.py:20: FutureWarning: '.reindex_axis' is deprecated and will be removed in a future version. Use '.reindex' instead.\n"
     ]
    },
    {
     "data": {
      "image/png": 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jxpV2jZo6xQs/sjPj9zDrZGrqJElxw3J/prY+7NnelNBvdV1iLyHH49qazUyUrTS/uaPickkyvwujkmz/fasl9OI6W+0apRVh33MBGW1Y4w8UlYQdT8g8Afj1SwAAAABIMTZ1AAAAAJBibOoAAAAAIMXY1AEAAABAirGpAwAAAIAUY1MHAAAAACnGpg4AAAAAUoxNHQAAAACkGJs6AAAAAEixyDm3vXvw2WEbAwAAAIBtIAoJFQ50F33hOlq8Y1FZTm5tu/nzUXG5XGebnSnNyrU125lspVzbamO8yuxV2txve0KmPCfXasxTUWX2sbWXkOMJWRdjfaPicrNXaXO/fcxEFVWSZK5dVJ6Ta26056mskWtJyORqks9zyPqHnGfjHEXZSkkB13/IMQec5/zcl73jBZOPUH7Oi2aNgilHKV622MxkRo2Va1pl91I9ImD9Q+7VgIxxLUS5GsWLPjZrZMZNVNe//MnMDPnpWep54jkzU3jCMcrPf807XjDpUOVf+6tZo+DQL6nnmefteY6bqvz81415DlH+5Tn2PEdMUfc9T5mZQedMU8/TCb0cP1U9j/nXpfCkY5R//227l733V37uK3Zm8uHKv/k3//hBX5Qk9TzwjL+X04/Tpv9+1Jxn8NdPDlr/noef9Y+feqx6nnvBrnHM0ep51F9DkgpPPtbsd/DXT5Ykdd/rP4+Dzp6m7usfM+cZdOlJ+vyS28zMLjfMMDO73DBD2rjBrKGhRdsm8482z47Uy856zNKO0wvH/I/RSwB+/RIAAAAAUoxNHQAAAACkGJs6AAAAAEgxNnUAAAAAkGJs6gAAAAAgxdjUAQAAAECKsakDAAAAgBRjUwcAAAAAKcamDgAAAABSLHLObe8efHbYxgAAAABgG4hCQoUD3UWfbNzgHxtaZI9vy8w/2jw7Ui9Di3r/uaP0wjH/4/fCMe8cveyM99nOeMw7Ui8c887Ry854n+2Mx7ytewnAr18CAAAAQIqxqQMAAACAFBuQTV0URd+OoqhuIGoDAAAAAP7XQP2Xup9Kej2KoleiKPpGFEUVIT8URdGlURTNi6Jo3vXXXz9ArQEAAADAP46B+oNSlkiaJOkYSWdJ+kkURfMl3SPpQefc+v+vH3LOXS9py27OJf4PBwEAAABgJzdQ/6XOOedi59wzzrnZkmok/UHSNPVu+AAAAAAA/WCg/kvd/+vvU3DOdUv6i6S/RFG0ywDNCQAAAAA7nYH6L3Vn+Qacc58P0JwAAAAAsNOJnHPbuwefHbYxAAAAANgGouTIwP36Zf/YGf/G+B1hnh2pl6FFvf/cUXrhmP/xe+GYd45edsb7bGc85h2pF4555+hlZ7zPdsZj3ta9BOAvHwcAAACAFGNTBwAAAAApxqYOAAAAAFKMTR0AAAAApBibOgAAAABIMTZ1AAAAAJBibOoAAAAAIMXY1AEAAABAirGpAwAAAIAUi5xz27sHnx22MQAAAADYBqKQUOFAd9EnGzf4x4YW2ePbMvOPNs+O1MvQot5/7ii9cMz/+L1wzNu9lw2zbjNLFN08Q10/+7OZGfKjr6rre/f4x399jiTpf752uzfzhesuVOfZt5jzlN57kdaeZ2eK77pIm37u73fwVV/VpmseMmsMvuI0df3bfWZmyE/O1MZv+I9n6B8ulCStu+BWb2b4HTPVfvrN5jzlD8xS55l2pvS+Wcr/7SXveMEXj1R+7itmjYLJhwdl4g/eMTOZvfZT/r23/DX2OUDxx+/bNSburfzbb9q97H+Q4kUf+2uMm2iOb818ssDO7D5B8YqldmbkaMUNK/zjtSPN8f/NLE/I1Ju99PaRXMO1NJmZKFcdlmlr9o9nK83x/82sTshUya1u8I9X1UqS2W/v8TTa8+Rq5JpW2ZnqEcnH3Md121onYR5Jcu0t/kx5Tq7DPy5JUVlgprPVP15aEVajOWH9K2vkWhOuhYoqubXt/vHicnN8a6azzc6UZs3xLfj1SwAAAABIMTZ1AAAAAJBibOoAAAAAIMXY1AEAAABAirGpAwAAAIAUY1MHAAAAACnGpg4AAAAAUoxNHQAAAACkGJs6AAAAAEixyDm3vXvw2WEbAwAAAIBtIAoJFQ50F33h1rR5x6KSrNzadvPno+JyuU5/DUmKSgPrGJmk8f7KBNdY12FnhpfJdbbamdIK6bO1/sCuxUG9mDU210maR5J5TNHwMmnDGnueohJpQ0IvRcXS+k7/+LDSoOspaB4rU7T5mI1zFJVWBM0TdC0k3Wch91Af59k6V+tq/3hFVViNkH47WvzjZTm5tma7RrYy6B6y5tkyV9yw3Dueqa2XW91g16iqlWtpsjO5asUrlvrnGTk6qEb+7TfNTMH+B6n7lifMzKCLTlD3bf7MoBknmL1Kvf3GnyywM7tPULzoY//4uImSpLhxpT9TU2eeH2nzOWpaZWai6hGKP/X3m9ltQtAxh1yXSdeTFHDMixfavYwdr3jpp3Zm9G5mJjN6t6C1jZcvsTP1YxQv+NDOTNhTrt2458tzQfdZvPAje57xeyg/50XveMGUo9Tz3AtmjcJjjg47z6sS1m5EffKzpaXRnidXE3ZdNvvrRJU1QfNYz35p8/O/LSGTrUp+h4e8q4xrReq9XuKVy7zjmbpRvf9ifZcUlYS9qwJ66ZdjDnmfGf1GpVlJyd9qQd+wAe8i6x7pfT/3z7e/ubZS4ndhVJrt+3fwlkwAfv0SAAAAAFKMTR0AAAAApBibOgAAAABIMTZ1AAAAAJBibOoAAAAAIMXY1AEAAABAirGpAwAAAIAUY1MHAAAAACnGpg4AAAAAUixyzm3vHnx22MYAAAAAYBuIQkKFA91FX7g1bd6xqCQrt7bd/PmouDwoo/WddiPDSuU6W/01SiukDWvtGkXFQRm3rsM/z/AyuU7/mvT2ErYu2rAmoZcSO1NUItfRYs9TlgtcF3seScnrEnLMnyX0smuxndm12LwOpL/jWkiYR5J9XQ4rNe8PqfceCTrmpPMccswB91C/XP8h11zI/dzS6K+Rq5FrWmXPUz1Crj2hl/KcOc/WuYw6UXkurJeQ50Lbav94tipobYMyIb0YdaKyXNC1bR2P1HtM8fIl3vFM/RhJUty40p+pqVO8bLE5T2bUWLnmhPNcGXCe25rtGtnKsHmMOlG2UpISr/945TJznkzdKG269hEzM/jyUxQ3rPDXqB2peMkie54x48waW+qE3Gfx4oX+GmPHK25YnjBPvXmtSL3XS388W0LmCTlHbnWDf56q2rDnk/FMljY/lxOuuZC1DVmX/Ptvm5mCvfdPfM4FXU8h79aE97MkxR+/759n4t5B79ag79yE79OgZ0vIeybh/SwlP1uC3iEhz39jXUK//UPeVf3xPRd0DwVkQvDrlwAAAACQYmzqAAAAACDF2NQBAAAAQIqxqQMAAACAFGNTBwAAAAApxqYOAAAAAFKMTR0AAAAApBibOgAAAABIMTZ1AAAAAJBikXNue/fgs8M2BgAAAADbQBQSKhzoLvpkwxr/WFGJ9Nla++d3LZbrbDMjUWk2qI6Z2bVYbl2HPc/wMrk1Cb2UZM060fAyubZmu0a2Uq6z1c6UVgT1q/Wd/sCw0rBeQtYl4ZglmWsXlWTlOlrsecpy/dJLyDzmuknSsNLka1tK7mV1g91LVa1ce0K/5fa6RMPL5Fqa7Bq5avU8+byZKZw+VXHTSjOTqa4zM5nqOsUfvmvX2HNfxUs+sTNjdlf++Re84wVTj1b8wTt2jb32U7xkUcI844J6iRd86B+fsKfiBR/YNSbspfw788xMwX4HmseU2Ws/5V99ya5x2JHq/tPTZmbQWcer++bH7cysE9V9/WP+8UtP0sf7/M6sMfG9b6nzzJvNTOl9s9Qw9QbveO3zl0iSlh92nTdT/+rXtOKI6815Rr58qeaP+Y2ZmbTku2o8zt9LzTOX6N3xvzVr7LvwO1q47+/NzPh3v6muK+7yjg+55jxJ0qZrHvJmBl9xmrr+7T5zniE/OVOb/uNBMzP4n7+iTVcb81x5mrp+nDDPj88MyvzP1243M1+47kL13Oe/dgvPPF4999vXduEZx5vHI/Ue06b/fNg//k+nquex5+x5TjpGPY8+a2dOPjbomZv0nLPGt2bef9vO7L2/+YzKTNhL+Tkv2jWmHBX2zF25zM7UjVLcsMI/XjtScWPCe6imLuy5vXihf3zseEmSa270ZqLKmrBvwoDvuaRjDpon5BuqdbV/vKJKksxvjqg8F/RN3td1iUor5Na22zWKy8O+CUO+oYxv4dDv4KB9SAB+/RIAAAAAUoxNHQAAAACkGJs6AAAAAEgxNnUAAAAAkGJs6gAAAAAgxdjUAQAAAECKsakDAAAAgBRjUwcAAAAAKcamDgAAAABSLHLObe8efHbYxgAAAABgG4hCQoUD3UWfrO/0jw0rletsM388Ks1Kn62159i1WNqQkCkqllvjnysqyQbVCOnFrevwzzO8zOxjSy9WjS119Pk6u5ddhtv97los19lqz1NaEbYuVqaoWJLMcx2VZu1rRZKGlYad535Y/3475o4W/zxluaB58u/MMyMF+x2o/PzX/OOTDlX33U+ZNQadO009Dz5jZgq/cpxcc6OZiSprzExUWSPXutquUVGl/CtzzEzB4VO06eqHvOODrzxNGy+/06wx9Nrz1fPEc2am8IRjFC9eaGYyY8cr/9Yb/l4PODjwHL5uZyYdkjhP970J5/nsadr0+7+YmcHf/HJQLz2P+9eu8MRj1PNAwvV0+nHqeSghc9px6nnkWf/4KcdKknrue9qfOfN4dd/8uDnPoFknKv/ii2am4KijlH9pjn/8yCnm+JaMtW5S79rln3/BX2Pq0ZKknmee99c4bqrycxKOZ8pR2jDzVjNTdOtMdV1xl3d8yDXnqfGYG8waNc9dooapdqb2+UvUNO1GM1P91MVaf+Gt3vFht8+UNm4wa2hoUd8zQ4vU87R/7SWp8Pipys+ba2YKDpxsPrel3md30n2Wn/uKXWPy4cq/8aqdOfgws07B5MOVf+2vdo1Dv6T4o/fMTGaPfYKOOek5F69Yas8zcrTipZ/amdG7mZnM6N0kSfHyJf5M/RjFq5bb84yoV7xymZ2pGyW3usE7HlXVBr0346aV9jzVdYnzSJJr888VZauCerG+faTe7x/X1mzMUynXkvC9kauRa0+YpzwX9J1rZZLGt2YCjjkEv34JAAAAACnGpg4AAAAAUoxNHQAAAACkGJs6AAAAAEgxNnUAAAAAkGJs6gAAAAAgxdjUAQAAAECKsakDAAAAgBRjUwcAAAAAKRY557Z3Dz47bGMAAAAAsA1EIaHCge6iL1x7i3csKs/JdfjHJSkqy8l1ttqZ0gq5zraETNbMJI3/XZk1xjwl9ni/ZxKPOWBtQ86RkYnKcpKUmOm3XpKuubbVdo1sVVim1Z+JKqokyawTZavkmhvteSpr5Fqa7EyuOnlt25rtGtlKxR+8Y2Yye+2neOUyO1M3Sj0PPeMdLzztOMUNK+watSMVL/jQzkzYU/n5r3vHCyYdonjZYrvGqLGKP1lgZ3afoHjRx3Zm3ETFCz/yj4/fwxz/ezL5+a95xwsmHaquf7vPrDHkJ2eq63v32Jlfn6OuHyRkfnmOun7sn2vIj89U921PmDUGzThBXT/7sz3Pj76qrn/5k3/8p2dJUmLm80tuM+fZ5YYZ6jzzZjNTet8sdV15t3+eq8/Vxm/dYdYY+rsL+mVtJZlrN+RHX1X76fbxlD8wSx/sca2Z2eujy81+h/zyHG361YNmjcHf/4o2/dw+z4Ov+qo2Xn6nmRl67fna9F+P+Gt8+5Sg6ymkl6TzvOlafx+SNPjyU5R//20zU7D3/kHPqPzcl/01Jh+h/Ly59jwHTg7LvPiif/yoo9Tz+HNmjcITj1HPk8/bmelT1fNMQua4qcq//aa/l/0PUrxiqVkjM3J00Ls1blrpr1FdJ0nmuygzYU/Fq5bbvYyol1vdYPdSVSvXtMo/Xj0i7Hga/ccjSZmausTvIyngu8WosaVOyDdH4ndLH7/3/reXvn/PBZ3DgG+1EPz6JQAAAACkGJs6AAAAAEixAfn1yyiKBks6W1Kjc+65KIrOlfRFSR9Lut451z25b0lfAAAgAElEQVQQ8wIAAADAzmag/jd1t2yuvUsURTMkFUl6UNJUSQdLmjFA8wIAAADATmWgNnV7O+f2iaKoUFKDpBrnXD6Kojslvev7oSiKLpV0qSRdd911uuT0UweoPQAAAAD4xzBQm7rM5l/B3FXSLpKKJXVIGiJpkO+HnHPXS7p+6/+Z8CfTAAAAAMDObqA2dTdJWiCpQNJVku6PomiJpEMl3TtAcwIAAADATmdANnXOud9EUfSnzf/eGEXR7ZKOkXSDc+6NgZgTAAAAAHZGkXNue/fgs8M2BgAAAADbQBQS4u+pAwAAAIAUG6j/TV2/cC1N3rEoV22O/12ZhD+QJSrPyXX4M1FZTq6zza5RmpXWd5oZDSuVW9fhrzG8TK6zNWGeCrm17XamuFzasNbupahY2rDGGC/pt2M2M8NKJck87qi0ou/zbM4knee+nkNp83lsafSP52okybwuo/Jc0HkOuf7jJYu845kx49TzwDNmjcLTjwu6LuOGFWYmUztS8cfv+8cn7i3Xutqep6JK8ScL7Hl2n6D83Je94wWTj1DXVX8yawz5+Vnq/uOjZmbQZSdr03/bmcFfP1ndtzzhr3HRCeq+5yl7nnOmadN/PWLP8+1TtOn3f/GPf/PL2vitO8waQ393gTb9/M/2PFd9VV3/fr+ZGfKvZ+h/vna7d/wL112ojd/wj0vS0D9cqK4f3GPP88tz1H39Y97xQZeeJEnq+vF9/ho/PlOfX3KbOc8uN8xQ/uU5ZqbgiCnqee4F73jhMUcrP+dFu8aUo9R9+5NmZtCF083MoAunS5J5TQ06Z5q6b3zcnufiE4PukU3/8aB3fPA/f0Wb/vNhs8bgfzpVm655yM5ccZq670hYlwumq/tPT/vHzzpe3Xcn3GfnTgta/57Hn/OOF554jHoeftasUXjqscq/NMfMFBw5RflXEjKHT1H+jVf94wcfpvz7b9s19t5f8aKPzUxm3ETlX/urv8ahXwqaJyjTD8fc82jC+p98rHoeSciccqziJZ94xzNjdpckuaZV3kxUPULx8iXmPJn6MXJtCe+8bJX5XowqquTamhNqVIbNY9SJspWSpLhhuTeTqa3v8/e2tPmbO+mbvI81tmYCvjkS9yrGdSD1XgtudYOdqao1x7fgv9QBAAAAQIqxqQMAAACAFGNTBwAAAAApxqYOAAAAAFKMTR0AAAAApBibOgAAAABIMTZ1AAAAAJBibOoAAAAAIMUi59z27sFnh20MAAAAALaBKCRUONBd9IVrafSORbmaoL+B3aqxtY7xt8H3ZqqTewmaJyBj/O31UUWVXFvC326frTJrbK3Tx36D179plZ2pHmFmouoRkpSYiZtWmvNkquv6pZegGiHr0mysbWWNJCVmws5zwLXd1uwfz1aa41sy+edfMDMFU48O6iVuWO4dz9TWK16x1KyRGTla8cpldqZulOIln/jHx+yueOFHdo3xeyhe9LGdGTdR8YIP7MyEvZSf+4p3vGDy4crPfdmsUTD5CMULPkyYZ0/l57zorzHlKG265iGzxuArTtNns28zM7veNEMbv3OnmRn62/PV+uWbvOMVf5mt1lP945JU8fBsbZhl91J08wx1nHGzd7zs/lmSpK4r7/Zmhlx9rpYfdp05T/2rX9Oqo643MyNevFSdZ9/iHS+99yJ1nunvVZJK75ul7jufNDODzp+uTVf7z+PgK0+TJHX98F5vZsgvzg5a24/3+Z2Zmfjet9R92xP+XmecoPwrc8waBYdP0cbLE66na89Xfv7rdp1Jh5j3UcHkI5R/7y27xj4HKP/m3+zMQV9Ufv5rRh+HKv74fbNGZuLeipcssjNjxgVlEt/h/fU+6495jPed1PvOi1f53w+SlBlR3y/vs6DvrIRjlpLf4XFjwndLTV1Qxuo3ylYpblhh16gdGbYuHS3+8bKcJCVmgtbWqLG1TtI87Qk1ynNB31DxJwvMTGb3CYqXL/GP148Juv5DznMIfv0SAAAAAFKMTR0AAAAApBibOgAAAABIMTZ1AAAAAJBibOoAAAAAIMXY1AEAAABAirGpAwAAAIAUY1MHAAAAACnGpg4AAAAAUixyzm3vHnx22MYAAAAAYBuIQkKFA91FX7iWRu9YlKuRa2kyfz7KVcu1rbYz2Spznq1zdbb5x0uzcp2tdo3SCrm25oReKuU6WvzjZTlzfGsmpJc+1gmuEZIx1iXKVkpSYsa1J8xTngvLJM0Tcj31MRNlqyRJrtXIVFTJNSdct5U1cqsb7ExVreKmld7xTHVd2H0Wkuljv1FVrbkm0uZ1CXouJJzndR12jeFlYfM0rbIz1SPk1hjPlpJsWC8h97xRJxpeZvaxtZeQTMh91h+9hKx/wnNbktzadn+muDzsfjbm2TJX4jwhz8qAeyhessg7nhkzTpLUfc9T3sygc6b1+R6SNt9HRp3e50bAuzckE7J2Sc/TkGdLyHWZ9A4PuVf76x2e9JwLuZ4alpuZTG29ec9H5fbaS3/H+occc9LzNOSZHPIMSzjPkgKu/749w6TNz5aEY9b6TrOGhpWGrX/CM0xS8ndj0D0fsC79cZ/113Mu8bsx5FmZvC4h+PVLAAAAAEgxNnUAAAAAkGJs6gAAAAAgxdjUAQAAAECKsakDAAAAgBRjUwcAAAAAKcamDgAAAABSjE0dAAAAAKQYmzoAAAAASLHIObe9e/DZYRsDAAAAgG0gCgkVDnQXfeHWdXjHouFl0oY1doGiErmOFjMSleXMebbMldSLW9tu1ygul2tdbWcqquSaG/3jlTXm+NZMS5OdyVUr/mSBmcnsPkH5997yjhfsc0DY8bQlZLJVcu3+cxSV5yTJPI9RWU7x8iXmPJn6MXKdbXYvpVm5Nf5MVJINu56MGlvrJF3bSr7+46aV5jyZ6rqgY45XLPXXGDla8Qfv2PPstZ95DqXN53HDWjOjomLpMyOza3HQ+gfNYz07Qp8bAWsb0kvisyXgfg66z1Y3+MerasOup5DnT0gvLcZzLhf2DLOOR9p8TKuWe8czI+olKfH6d02r7HmqRwQ9f+Jli/3jo8YqXvChXWPCnoqXLLIzY8YpXvSxf3zcRElSvOQTo8buihtW2PPUjgy6FuJG/zWVqakLeofk33/bzBTsvb95zFLvcVvnKFM/Jux6WrnMnqdulJnJ1I3q8ztR6n2eBt2vxn0U5arDru2Aay7/1hve8YIDDg5a26BejHtI2nwfGddupnZk0LUdN/ifG72Z+qBnS+L6tzWb80TZysD3fKu/RmlF0Dfu55fcZmZ2uWFG2Lda0jdUyHeYcTy9mYrkb+V++lYLuecTz3PA+ofsZ0Lw65cAAAAAkGJs6gAAAAAgxdjUAQAAAECKsakDAAAAgBRjUwcAAAAAKcamDgAAAABSjE0dAAAAAKQYmzoAAAAASDE2dQAAAACQYpFzbnv34LPDNgYAAAAA20AUEioc6C76wnW2ecei0qzc2nbz56PicmnDWnuSomJpw5qETIlce4t/nvJc0DxuXYcZiYaXyXW2+sdLK8w+tvRirVtvnay0vtPMaFip2W80vEyupdGeJ1cjtyahlxL7PEbF5ZKUuP5B6xLSS8L6x00rzRqZ6jq5tmZ7nmylXOtq/3hFlSTJrW7wZ6pqFS/62O5l3MSwXox1iUqyilctt+cZUa+Nl99pZoZee766fnyfmRny4zMVL1/in6d+jOKln9q9jN5N8ZJFdmbMOMWN/vOYqalTvGyxXWPUWMUrltqZkaMVf7rAzuw2QfGCD/3jE/ZUvHihXWPs+LB1+cTfS2b3CcrPedGsUTDlKOXfnW9n9p2kniefNzOF06dq0zUPeccHX3Galh7yR7PG6Ncv04ZZt5mZoptnqOsH93jHh/zyHEnS+gtv9WaG3T5TrafeZM5T8fBsbfzWHWZm6O8uUMcZN3vHy+6fFXTMm659xMwMvvwUvTPuP73j+y36J0nJx7z2vFvMeYrvukitX05Yl7/M1sbv3uUdH/qb87TxG7ebNYb+4UJt/E7Cs+W352v19BvNTNWTF+vzS/zXyy43zAh6hnVf/5iZGXTpSer6N/9zbshPzlT3Hx+1a1x2snoeeMbMFJ5+nHqeTrjPjp+q/EtzvOMFR05R/o1XzRoFBx8W9jxd8IF/fMJeQe+QoGduSC/GczkzcrTihR/ZNcbvIdeR8D1RlkucR5L5/M/sNsF8D0m97yLX0mT3kqtW/p153vGC/Q5U/vW/mjUKDvlS0DzxymX+XutGSZL5XZIZNzHoW62v6xLlqs3vJ6n3Gyro+yjku924XqKynPldKW3+tg+YJwS/fgkAAAAAKcamDgAAAABSjE0dAAAAAKQYmzoAAAAASDE2dQAAAACQYmzqAAAAACDF2NQBAAAAQIqxqQMAAACAFGNTBwAAAAApFjnntncPPjtsYwAAAACwDUQhocKB7qIvXGebdywqzcq1NJo/H+Vq5Nb4a0hSVJKVW9tuZ4rL5dqa/ePZSrmOFrtGWU6us9XOlFaYvfT2sdquka2Sa0/opTwXti5GJirJhs3T0mRnctWJayspMRM3rTTnyVTXha2dkYmyVXKrG+waVbVyzQnXZWVN4jySFK9a7s1kRtQr//wL5jwFU49Wz2PPmZnCk45RvPRT/zyjd1PPk8/bNaZPVbzwIzOTGb9H0P0aL1vsrzFqrOIG/5pIUqa2Puiai1cu89eoG2X2sbWX5UvsTP0Yc56tcy34wD8+YS/Fny6wa+w2QfEH79iZvfZT/s2/eccLDvqieh5+1qxReOqx6v7T02Zm0FnHq/vup+zMudPUfePj/vGLT1T3nU/aNc6frp5nEq7L46aq+w5/nUEXTJckbfr9X7yZwd/8srquvNucZ8jV52rdBbeameF3zNTGy+/0jg+99nxzfEtmw0x7nqJbZ2rjd4x5fnu+JGnxgX/0ZsbOu0zrL7TnGXb7TLWeepOZqXh4ttace4t3vOTui4JqLD3E36skjX79Mm2YdZuZKbp5hj6/xJ/Z5YYZajvN7iX70GyzxpY6zSfe6B2vfPzioHuo5/GE5/aJx6jnfrtO4RnHa9N/P+odH/z1k9V9T8K9es40dd+bkDl7mlln0DnTlH/vLbNGwT4HBD3nQupY7+ioqlb/nvmhWeNf41/o5wmZq+Jf6D8zV3nH/yn+uSTpysz3vJmr418H9bLiiOvNzMiXLzXXLrPbBMWLF5o1MmPHh32rrevwjw8vkyTzuzAqz4V9HwV9NyZ8qxn7B2nzHiLkey7k2z7hW1kb1pg1VFQSNE8Ifv0SAAAAAFKMTR0AAAAApBibOgAAAABIMTZ1AAAAAJBibOoAAAAAIMXY1AEAAABAirGpAwAAAIAUY1MHAAAAACnGpg4AAAAAUixyzm3vHnx22MYAAAAAYBuIQkKFA91Fn2xY6x8rKrbHN2fcmjYzEpVkpfWddp1hpcm9BNRwnQm9lGalz4x5di2W62xNqFEht7bdzhSXB61d0jEH9bKuw84ML7PXblipJJnnMSrJhq3thjVmRkUlib241tX2PBVVcm3NdiZbaa5dVFohSYqbVnozmeo65d9/25ynYO/9FS9bbGYyo8YqXrzQPz52vOIVS+0aI0cr/848u5f9DlTXFXeZmSHXnKfuW57wjg+66AStnn6jWaPqyYuVf2WO3cvhU8xjyowcrXjhR2aNzPg9FH+ywM7sPkHxgg/tzIQ9lX/9r/5eD/mS4kUf2zXGTQxa/6R5ep583qxROH2q8i++aM9z1FFBdaxrYcg152n9hbeaNYbdPlNrzr3FzJTcfZE+v+Q27/guN8yQJG2Y6Z+r6NaZ2nj5neY8Q689X+2n32xmyh+YpZaTbvKO5x6breYT7Wu78vGLtfEbt9u9/OFCdX3vHu/4kF+fI0nq+tmf/ZkffTXomDvOsI+57P5Z2vitO/w1fneBNn4nYZ7fnq+uK+82M0OuPtc8Hqn3mDZd+4h3fPDlp2jTrx40awz+/leCetkwy3/NFd08Q903P27WGDTrRHXf8aSduWC6Nv3+L2Zm8De/rE3//ah//Osnq/vGhF4uPlE9jz1nZgpPOkb5V1/yjhccdmTQMyFknp6HnrEzpx2n/GvGc+7QL6n7Nv87RpIGzThB+edfMDMFU482eyk87ThJUs/Dz/ozpx4b9Dy1jkfqPab44/e945mJeyv/0hy7xpFTgt4hSfNIUvzRe/7MHvsEfU+EfFsmnue7nzJrDDp3mvmNJfV+Z4V8T1uZqLhc8YIP7Hkm7CXX0WLPU5Yzx7fWCkoBAAAAAHZIbOoAAAAAIMUG7NcvoygaI+krkuok5SUtknS3c27dQM0JAAAAADubAfkvdVEUfVvSHyUNlXSQpCHq3dy9FkXRlIGYEwAAAAB2RgP165eXSJrunPuZpGMk7emcu0rSNEm/8f1QFEWXRlE0L4qieddff/0AtQYAAAAA/zgG8k+/LFTvr10OkVQkSc65FVEUDfL9gHPueklbdnMu8U9oBAAAAICd3EBt6m6U9GYURa9LOlzSryQpiqIKSfafcQ8AAAAACDYgmzrn3G+jKHpO0kRJ/8c5t2Dz/79V0hEDMScAAAAA7IwG7NcvnXMfSrL/5l0AAAAAQJ9Ezrnt3YPPDtsYAAAAAGwDUUhoIP+glL5b3+kfG1Yq19lm/nhUmpVbZ/9P+KLhZXIdLXamLCfX0ugfz9XYvUrSsFIl/sEvRcVmL1FZTq6t2SwRZSvNXqXN/W5Yk9BLibl20fCyoPUPWRe3tt1fo7hckuTajXUpz8mtSeilJGvOs2Uuq05ojX475mbjmquskWtbbfeSrVL+9b+amYJDvqR4xVLveGbkaPU88IxZo/D047Tp6ofMzOArT5Nb3WBmoqpaxUsW+XsZM07xwo/MGpnxe6jniefMTOEJxyj/6kve8YLDjlTPM8/bNY6bGpZ55Fk7c8qx6r7tCe/4oBknqPnEG80alY9frHUX3Gpmht8xU51n3+IdL733Is0f4/2DiSVJk5Z8Vx/sca2Z2eujy9V43A1mpuaZS9T65Zu84xV/ma3FB/7RrDF23mVqmGrPU/v8JVq47++94+Pf/aYkaflh13kz9a9+TXOyvzTnmdL2g6Bz1DTNn6l+6mK1nupfE0mqeHi2Vh1l/6nQI168VI3H+Nel5rlLJEkbv3uXNzP0N+fpf752uznPF667UCuPtHupe+lS81qoeeYSLT3EPs+jX79M70/8LzOz98ffNtdW6l3fpHX5eJ/fmTUmvvctbZh5q5kpunWmNv38z97xwVd9VZt+8YBZY/APT1fXVX8yM0N+fpa6rvCfQ0kacs156r7xce/4oItPVM9jCc/Kk45Rft5cM1Nw4GTl33/bP773/sq/+Te7xkFfVM+zL9i9HHu08nNetOtMOUr5uS/7xycfofzbb9o19j8o7Jif9/dbMPVoSVJ+/uv+zKRDzHev1Pv+DXpvrlzmr1E3KqhG0LdywjehJPO7JMpWyXW22vOUVoT1kvRN2NJk18hV918vTav849UjguYJ+SYPMVB/pQEAAAAAYBtgUwcAAAAAKcamDgAAAABSjE0dAAAAAKQYmzoAAAAASDE2dQAAAACQYmzqAAAAACDF2NQBAAAAQIpFzrnt3YPPDtsYAAAAAGwDUUiI/1IHAAAAAClWuL0bsLjONu9YVJo1x7dktL7TnmRYqVxna0KdCrmWRv94rkbasMaep6hE2rA2IVMst7bdP09xuVx7i1kiKs+FrUtAL2amqDisl3UddmZ4WeIxS5Jra/ZnspVyaxKOuSQbdp6NY4rKc3Ktq+0aFVVh14J1XQ4rlaTEXvLz5prTFBw4Wa4j4RyV5cy1i0qyihtWmDUytSPVfePjZmbQxScq//pfzUzBIV9SvHyJf576MYqXfGL3MmZ3xUsWJWTGKf7wXf/4nvsG1ci/O9/MFOw7SfEnC+w6u09Q/r23/DX2OUDxx+/bNSburfwbr9q9HHyY8n97yT/+xSO16VcPmjUGf/8r6jjjZjNTdv8stZ12k5nJPjRbG79zp3d86G/PV9cP7zVrDPnF2dr4rTvMzNDfXaANM2/1jhfdOlOStPEbt/tr/OFCrT3vFnOe4rsuUueZ9rqU3jdLXVfe7R0fcvW52niZvw9JGvrHC7XmXLuXkrsvMtduyC/OliRz7ZLWTepduw/2uNbM7PXR5ea1kH1otrrvfcqsMejsaep55FkzU3jKseq+40m7zgXT1X2z/xk1aNaJ6nn6eXue46eq58mEzHQ7Uzh9qvnskXqfP/n5r5uZgkmHKP/+23Zm7/3NOgWTDgla/5B3nvWOyNSODHsPGe94qfc9HzeuNDOZmjrz2Z0ZMy7oeEK+bZKOWZLiVcv9mRH15reP1Pv9E3LMrs1/TFG2qv++g5PmkRK/bYK+CUPOkVEnGl4W9B0ccs2FrMumqx/yjg++8rSge9U1rbLnqR5hjm/Bf6kDAAAAgBRjUwcAAAAAKcamDgAAAABSjE0dAAAAAKQYmzoAAAAASDE2dQAAAACQYmzqAAAAACDF2NQBAAAAQIpFzrnt3YPPDtsYAAAAAGwDUUiocKC76Avrb3KPSivk1iT8jfEl2bC/vb6jxc6U5aQNa/2BomJ7fHPGtTTZ8+Sq5Tr9xxSVZuWaG+0alTVybc12JlsZdMxxwwrveKZ2pFxLQi+5GvMcSpvPY8J5liTXttqfyVbJtfrHJSmqqArsJWH9+3gOt9Yx1j8qy0kKOOaQayGkl4RjjhtXmjUyNXVh91lIJumeDzmegHm0vtMfGFYadj2tbbczxeVhz6jVDf7xqtqwXgKuy3jZYu94ZtRYc3xLxupV2txvwHVpXVOZmjrl5801axQcOFnxR++Zmcwe+yTOIwXcZ+0Jz8rynOJVy+1eRtT3y7UdNI/xXI5yNZJkHlNUnlO8Yqk9z8jRQc//eOUyf426UcrPf82sUTDpUOXff9vO7L2/XNMqu5fqEeY9EuWqg4455B6x6mRGjg68nwPerSF1Es5z0Dsk4PpPep8FvTdDjifonZdwn4V8H4U8txPem1LyfRa0tiEZ410UFZeHrW3I+znheCSZc0UVgd9qxjNZ2vxcNs5jlK3st+8WbVhjZlRUknyeg75Pk5//Ifj1SwAAAABIMTZ1AAAAAJBibOoAAAAAIMXY1AEAAABAirGpAwAAAIAUY1MHAAAAACnGpg4AAAAAUoxNHQAAAACkGJs6AAAAAEixyDm3vXvw2WEbAwAAAIBtIAoJFQ50F33hOlq8Y1FZTq51tfnzUUVVWKazzc6UZuXW+DNRiT2+NdPuPx5Jispzcus6/OPDy+Tamu0a2cqwefrjmFua7Bq5arnO1oR5KsxeotKspIBroY9rK/Wur9Z3+gPDSoPWXxvWmhkVFduZomJJSl7/kLUNOGarTlRaEXae17bbmeLysGvOWN8oWxl2/W+razvkegq4Fqy5olx12LOlP67tbXEPbZkr6ZoL6SXkWljd4B+vqpWkxOdP0H0W0ovxLooqqsLuoeZGO1NZE3jMCesfcswtCb3kapLv55B5Qt7hIdeLsXZRZY3iFUvNGpmRoxWvWm5nRtQnn2fj/Ei95yhuWmnPU12neMGHdmbCnnJNq/zzVI9QvHyJXaN+TNgxJzzD4saE46mpC1qXoOdy0nluWGH3Ujsy7D4zrv8oVyNJ5tplRtQHrX9fvy17v/eS77OQ57Y+M95nu27+bkm4/rVhjT1PUUnYezPpHR7wPDWPR+o9poB+XZtxzNmqsHdiwHkOwa9fAgAAAECKsakDAAAAgBRjUwcAAAAAKcamDgAAAABSjE0dAAAAAKQYmzoAAAAASDE2dQAAAACQYmzqAAAAACDF2NQBAAAAQIpFzrnt3YPPDtsYAAAAAGwDUUiocKC76Au3tt07FhWXy3W2mj8flVbIreuwM8PLpA1r7UaKis060fCyoF5C5jEzRcVyHS32PGU5uc62hF6y0vpOu5dhpcnH3Lbanidb1ed+o9KsJCVmguYJuBYSr7mWRrtGriZo/YOOudk/V1RZE9RLvGKpmcmMHK34kwX+8d0nqPvOJ80ag86frnjpp/Y8o3cLOkdxw3J/jdp6xU0r7Xmq65R/9SUzU3DYkYqXL/HXqB+j+FP/mkhSZrcJipcttjOjxipe8KGdmbCnep57wTteeMzRyr8zz6xRsN+BZo0tdeIP3/X3see+6r77KbPGoHOnadOvHjQzg7//FXX9y5/MzJCfnqVN//WIv8a3T9Hnl9xm1tjlhhna+J07zczQ356vrivv9vdx9bmSpK4f3OPP/PIcbZh5qzlP0a0zgzKtX77JO17xl9nm+JZM43E3mJmaZy7Rov3/4B0f9/Y3JElrz7vFmym+6yL9z9duN+f5wnUXBp2j1lONY354tppPvNGsUfn4xWo//WYzU/7ALH022+5l15vs62Xob88PqrHuglvNzPA7Zppr94XrLjSvSan3ugy6/r97l5kZ+pvzEu+z+IN3zBqZvfZTvMr/TJakzIj6xHdIfu4rZo2CyYcr/95bdmafA8Ke/3NfNuY5Qj1PPm/WKJw+VXFjwjw1dXJtzd7xKFspSWad3hoB31ABmbhhhX+e2pFy7Qnv3vKceTy981Sa7/CoLCdJ5lxReS6ol6DvlqS1Xd1gz1NVG7aHaE1Y/4qqfjnmkHlC8OuXAAAAAJBibOoAAAAAIMXY1AEAAABAirGpAwAAAIAUY1MHAAAAACnGpg4AAAAAUoxNHQAAAACkGJs6AAAAAEgxNnUAAAAAkGKRc2579+CzwzYGAAAAANtAFBIqHOgu+sJ1tHjHorKcXLt/XJKi8pxcZ6udKa0Iq9PS6B/P1ci1rrZrVFTJdbYl9JKVW9vuHy8uD6uxJiFTEpgx5opKs2FrG5JJOM+SzHMUlQdeCyGZtmb/eLYysEbCtZCtMq+XqKJKUsD1H3LNGTW21Ik/fNc7ntlzX8ULPjBrZCbspTO4lSsAACAASURBVHjlMjtTN0px00o7U12n+OP3/eMT91bcsNyuUVsv17TKzETVI8w6mdp6xUs/tecZvZviJYvszJhxQZn8e295xwv2OUD5eXPNGgUHTlb+7TftzP4HKT//Nf/4pEPVc//TZo3CM45X9x8fNTODLjtZ3bc/aWcunK7uGx/3j198orrvecqucc405Z9/wcwUTD1a3Xf76ww6d5okqefp572ZwuOnqvu2J+xeZpygnkeeNTOFpxyr/NyX/b1OPkI9z/j7kKTC46aq58mEzPSp6vr3+73jQ/71DElS1xV3+TPXnKdN//GgOc/gf/6KOs++xcyU3nuROs642Ttedv8szR/zG7PGpCXf1foLbzUzw26fqbbTbjIz2Ydmq/VUf6bi4dna+F3/mkjS0N+cp64f32dmhvz4TPP6H3ThdPOalHqvy5D1774j4T67YLp6nvPfI4XHHK3uexN6OXta2HX5sP/6Lzz12KDrNl6V8GwfUS/X7P8Ok6SossZ8/kfVI5R/41WzRsHBhyle8ondy5jdFS/8yD8+fg9JUrx8iT9TP8b8rpQ2f1sGvM/64/soblhhZjK1I813eKa6TpLM758oG/ZNEvZtmfR9GvCtvA2+p6MS+7te2vxtHzBPCH79EgAAAABSjE0dAAAAAKQYmzoAAAAASDE2dQAAAACQYmzqAAAAACDF2NQBAAAAQIqxqQMAAACAFGNTBwAAAAApxqYOAAAAAFIscs5t7x58dtjGAAAAAGAbiEJChQPdRV+4te3esai43BzfmlnTZmdKsnKdrXamtEKubbV/PFsVNk9IZlsdc3/00plQozRwbY06UWlWkuTamv2ZbGXgPH3L9F4H/j7+rl7WdfjHh5f1/suGNf4iRSX9d56NTFSS1ab/fNisMfifTlX++RfMTMHUoxU3rTQzmeo6uVbjPquoMse3ZOLGhHlq6hQv+NA/PmFPxUsW2TXGjFO8fImdqR+jeMVSOzNytHqe9a9d4bFHKz9vrlmj4MDJij94x55nr/3MOgUHTlb3HU+aNQZdMF3rLrjVzAy/Y6ZaT73JzFQ8PFvauMEfGFpkj/dXZmhR7z93lF624TF3fe8eb2TIr8/Rxu/eZU/zm/O0/LDrzEz9q18z6wz9zXnq+oG/D0ka8stz1HWF3cuQa85T950J1+75083re9AF09X1b/fZ8/zkTHX97M925kdfNY9pyC/P0aZrHzFrDL78FPU8+qyZKTz5WPU88ZydOeEY5ee86B0vmHKU8m+8atYoOPgw5d9/287svb/iBR94xzMT9lL+RX8fklRw1FGKl3xiZjJjdlf8yQI7s/sE87mcqR+juGG5XaO2Xq6lycxEuWrzPZOpqZMk8/mfGTk66F0V9M3R3uIfL8+FfasFHHPSd7CkxO+5oF4CvnO1vtMfGFYa9O1jfmNJUlFJUCbpWzmohvFNKP0/vgsT8OuXAAAAAJBibOoAAAAAIMXY1P1f9u47vq7qyvv/d1/JBZAtyZKumuUGLnSwQyeAwRhMM71jbFqYJGQIQzKTh5CQZHiSSXgIE1KISSimhBJa6MbU0MF0cAHcVSzLlhtglXv27w/Z/GYys9fZM5Zs3/jzfr3ySmAvrbX2Pueeu3cs3wsAAAAAeYxDHQAAAADksR451Dnnip1zP3POzXbOrXDOLXfOzVr/70qMn7vIOfemc+7NqVOn9kRrAAAAAPB3pac+/fIeSc9IOsR73yRJzrkqSeeuHxv/3/2Q936qpKlf/mPKJ+AAAAAAwNaup379coj3/t82HOgkyXvf5L3/N0mDe6gmAAAAAGx1eupQt9A5913nXOWGf+Gcq3TO/bMk+4s5AAAAAADReupQd5qkMknPr/87dSskPSdpgKRTeqgmAAAAAGx1nPd+0xZ0bor3/uaI0E3bGAAAAABsWVxU0GY41C3y3g+KCDU/KMUVl0lrV9kZiorlV6+w++k/QL61xY4pLZc+M2ptF1dHn682Y7RtfzOP6z9AfkWzXWdANm7OK1PmXFKe3svylF7KsnF1WpaGx8u7foPXquXKsnG9LGuyYyqqzHvBlZbLt6TkKK+S1q40Y1RUklpHkrSmNZyjX2ncvRCxLu2/+UtwvPc3jlPu9ZfMHAV7HxDXy9IGO6ayxlxfV14l35ySI1sTFZN8Oic4ntl+pHKvvmjmKNj3QOVeeM6OOegQdT42w4wpPGqccs89G85xyNio9V/37TvMmL6/PEvrLrk9PH792Voz6RYzR79pk7Xu4ml2nRsmRfVi1eo3bbJWn2P30v+2yWo93f7/BkvvmqLlJ90UHC+77zxJMufU94ZJ+uJr9py3+f0kddz0qBnT67yjzful4KBDoq6zda9IXfdL55NPB8cLjzhMktR53/RwzEnj1XHXE2adXqcfqfbrHjRjel96vDr+EF6XXhccrbYr7zZz9PnJaWaODXnaf/ew3cs/HKuOO8Nz6nXmkep86CkzR+HEw811k9av3W2Ph+ucM0Eddz9p5uh12hHqnPGMXWfcoeq49TE7z7lHKffuzOB4we5jzPENMcmi+WZMZtBQ5d56PZxj9N5KZn9g5xi1i3IzX7N7GbOPcjNfTYnZV0lD+G/4ZGrqlCxeYPdSNyRqzr6pPjjuqmolydxzuIoqc+8jde1/fHOjHZOtNmNctjru/TnlgwldcVncXs3Y87mSlL201LWfbl1m91JaYe//i4rt/ZPUtYeK2J9G7edSzipR54P0OlGHuh759Evn3HuhIUmVgTEAAAAAwP9QT32lQaWkIyT97VHZSXq5h2oCAAAAwFanpw51j0gq8t6/87cDzrnneqgmAAAAAGx1euRQ570/3xg7sydqAgAAAMDWqKe+0gAAAAAAsAlwqAMAAACAPMahDgAAAADyGIc6AAAAAMhjHOoAAAAAII857/3m7iFki20MAAAAADYBFxPUU99T1y18a0twzJWWS2tX2QmKiqUv1tgx2/Qz63xZy8qzTT/p89V2nW37y69otusMyNp5tu0f1atfvcKO6T8gal205m+/O/4/6FcaV+ezlGu0XbH8quXhHMVlkmTWcv0HRN0LVp0NtdJ6iZlz1DVaadzbJeVd/8OaU1Fxt/WitSuNOiXKPf+cmaPg4EPU9q9/NmP6fP/kuHVpWRoeL6+Ub6q3c1TVyjcusWOqByqZ/UFwPDNqFyXz5po5MsNGKJn3cUrMcOXenWnGFOw+Rrm/Phce/+ohSma9b9fZcVclH71nx+y0m3kdCw4+RG1X3WPm6HPVqfria9PMmG1+P0nr/vF2M6bvv5+ttivvDtf5yWnq+MOjZo5eFxytjjufsGPOPFIdfwrH9DrjSElS+2/+Eozp/Y3j1H61fW/3vuJkcz5S15ysPL2vOFnt1z1o17n0eK272F7/vjdMMteu1wVHS5Lar38oXOeSiVFzjrkX0u65jrtSruHpR0bF5J5+xowpOOxQddz+eDjH2RPU+egMM0fh0eOUe+UFu85+Byn3+kvh8b0PMMc3xCSL5psxmUFDo54tyZyPwjlG7hRVJyrm49nh8eGjzPc7qes9z7cus2NKK+SXNtgxlTWpe4WoOi1Ndkx5VfqeROn7Fr88ZU9Ylo3aN/rmxvB4tjpur2bt96SuPZ+xLq68SpLS91Ax62/MR1o/p7R9Y8x8IvaEMXnS9u3mHkuSikqiXiMx+PVLAAAAAMhjHOoAAAAAII9xqAMAAACAPMahDgAAAADyGIc6AAAAAMhjHOoAAAAAII9xqAMAAACAPMahDgAAAADymPPeb+4eQrbYxgAAAABgE3AxQYU93cVG+WxVeGy74rhvjI/49np9scbOs00/O2abfnHfBr/WmI8kFRWn12lNqVNaLr9quR1TXNY9c47opTvqSJJfvSJcp/8Aae1Ku05RSVwvKfdc1HXurjmvaA7XGZA110Ravy4Rr5GkflFwOFM7SH55uA9JcmXZqHsu6t5d1hQer6iKu7cj7gVrTq4sa98HUtfzJ+L1HLUuxj3V9dyIuLdj5tyyNFynvDIuR3ODGeKyNVHP3O6YszUfaf2crPu/X6mk9GeLb6q361TVxl3ntDoxOYxngrT+uZB2b0tmLVdcpmTxArNOpm6IfHOj3Uu2WsmSheEcAweb41/GLJxnxwweZj43pPXPjpR1iXm2+6Up939lTeqco15DEc9235Iy5/L0OUe9zmLuS6OXtD429BI1541cu9j3xJhnS2odKfX5E7WHiuk37dkSs7YxvVjveUXFXf+dEhP13N7Y97zY+zbieRr1GjHWzpWWR+0novaWEfj1SwAAAADIYxzqAAAAACCPcagDAAAAgDzGoQ4AAAAA8hiHOgAAAADIYxzqAAAAACCPcagDAAAAgDzGoQ4AAAAA8hiHOgAAAADIY857v7l7CNliGwMAAACATcDFBBX2dBcb5Ys14bFt+tnj62N8a4sZ4krLo/Kk9rKm1c7RrzQuJqVOzHz86hV2TP8B3TLnqLX9fLVdZ9v+dsy2/SXJnJPrPyBubT9bZcdsVyytNWKKiuVbl5kpXGmFtHalXaeoJH0+kvyypnBMRZX8quV2L8VlUXNO6yXmfoq65yKukW8x5lweN+eoGOM6dl3DlHXrznsh5TpHvVZjrnPanGNeHzHXMGb9065zzP3UXa+zlHXprvvfN9WHx6tqzTWR1q9Ly9KUmMrUtZVk5nHllVH3tm9utGOy1fIrmsPjA7LyK1PeQ0rK5Zc22DGVNebaSl3rmyyaHxzPDBqqZNb7Zo7Mjruq8+GnzJjCYw9XMm9uOMewEcrNfNXMUTBmXyUfvGP3ssseUXNOvbebU9Y2W7PRz9y05+2XvRj3itR1v8TsJ1Lfz4znrbT+mdtdz5aU13zU+0zMa97Yi7nS8qj5RMVYz/9+pZIkv9x4zZdl456VMc+FlDobPR8p/v0s7XUWMZ+oPWwEfv0SAAAAAPIYhzoAAAAAyGMc6gAAAAAgj3GoAwAAAIA8xqEOAAAAAPIYhzoAAAAAyGMc6gAAAAAgj3GoAwAAAIA8xqEOAAAAAPKY895v7h5CttjGAAAAAGATcDFBhT3dxcbwq1cEx1z/AfItS82fd+WV0ppWu0i/0qgYv7IlXKekXH5Fs93LgKz02Sq7znbFdsx2xVF1fGu4V0lypeXd08vylF7KsuY1lLquo9YadYqKJUXcCzFztupsqNUdc1613I4pLku9nyTJL2sKx1RUKWlYbNbJ1NSZdb6sZd3//UrV+cB0M0fhCeOjXotR9+7ShvB4ZY2SRfPNHJlBQ6PWJZnzUXh85E5KPplt59hhlJJ5H9sxw4YrmfW+HbPjrsq98XJwvGCv/ZV7500zR8EeX1Ey+0O7zqidlXw6Jzy+/Uh1PjrDzFF49DjlXn7e7mX/g9V5f8r9cuJ45Z5+JpzjsEPVdtkdZo4+156ltefdasYU3XSu2q68O5zjJ6dJkj47P5xnuz+eq4bxN5p1aqZfqGXH/9GMqXjwfC0ZOzU4PvDZi1R/mF2n9ukL9dYO15kxoz+5VM9n/y04fnDzP0uSFh7w+2DM4Je+FjWflWfebMaU3DlF6y6eFhzve8MkNR75BzNH9RMXaNlxKb385fyoGGt9a5++UIsPDl8fSap7/iIt2C+8bpI05JWvqWFcuE7NjAu1+pxbzBz9b5usNZPsmH7TJqv9p/eZMb2/d5Laf/VQePxbE9X5WMpr/qhxyv31OTOm4KuHmM/lzKChSmZ/YObIjNol7pkb82xf8Gl4fMj25rNfWv/8j3mfMZ7/mWHDJSl1XWLen5P5n9i9DN1BSWN4XTLVdcq995aZo2C30VG9+MYl4fHqgZJk7pFcWVa+dZldp7TC3AdIXXuBtD1h1L6+u84Qa1eGx4tKovbBUXu1CPz6JQAAAADkMQ51AAAAAJDHONQBAAAAQB7jUAcAAAAAeYxDHQAAAADkMQ51AAAAAJDHONQBAAAAQB7jUAcAAAAAeYxDHQAAAADkMee939w9hGyxjQEAAADAJuBiggp7uouN8sWa8Ng2/eRXrzB/3PUfIL+82Y4py0qfrbL72K5YWrsyPF5UIt/SZNcpr4rq1+xlu2L5FSnzGZCVb22xY0rL7flIUlGJtNbopSiul+6oI8lcO9d/gHzrMruX0orIXlKuc3ODXSdbE3ed17SGA/qVSpJ5HV1puZJ5c806mWEj5Fem3Asl5crNfC04XjBmH+XenWnmKNh9TNQ9l9QvNGMytYPll4bX11XWKFk0384xaGhUnWTex+HxYcOVfDzbzjF8lHJvvGzGFOy1v3J/fc6O+eoh5voW7D5GuffesnPsNlqdj80wYwqPGqeOaY8Hx3tNmqB1377DzNH3l2ep7cq7zZg+PzlN7dc+YMb0vuwEddz5RLiXM49Ux82PmTl6TTlKHbeF5yNJvc6ZkFpHkjrufjIcc9oRarvqHrNOn6tOVfv1D5kxvS+ZaM6p15Sj1Pavf7brfP9kLTpoqhkz6IWLNG/vG4Ljw16/WJK0ZGw4z8BnL9LcPX9r1hnx9tfVeOQfzJjqJy5Q04RwTNXjF6hh/I1mjprpF2rxwfac656/SM3H/NGMyT5yvhrGhWvVzLhQn194q5lj2xvPjVqXWbv9Oji+43vfjHt9/Cl830pSrzOOVOcD082YwhPGm8+ogr32N5+D0vpn4cJ5dszgYcq982a4zh5fUfLBO3aOXfaIez8z3h+k9e8RCz4N5xiyvZI5H9l1Ru6kpGGxHVNTJ9/cGO4jWy1JSuoXhXPUDoqaT9Seo2VpeLy8Un5Zyv60okrJkpT3zYGDU/dhkuRXLQ/HFJfF7dtj9lBpe7Xu2p9GnA+s/acrrYg7Y3y+2o7Ztr89vh6/fgkAAAAAeYxDHQAAAADkMQ51AAAAAJDHONQBAAAAQB7jUAcAAAAAeYxDHQAAAADkMQ51AAAAAJDHONQBAAAAQB7jUAcAAAAAecx57zd3DyFbbGMAAAAAsAm4mKDCnu5iY/hVy4NjrrhMfvUK8+dd/wHS56vtItv2l9autGOKSuRbW8J1SsulL9bYObbpF9WLb11m1Kkw10TqWhetabXr9CuNWxcrZtv+cb3EzDnlOkuSX94cjinLKqlfZJbJ1A6Sb6o3Y1xVrXxLU3i8vEp+Zfg+kCRXUh51X/oVxnwGZCUp9Z5LGhabdTI1dUrmfWzHDBsurVsbDuhbZI9vyphNWCf36otmioJ9D1T77x42Y3r/w7HqnPGMGVM47lB13P54cLzX2RPU/ov77TrfOVFtV91jxvS56lS1X/NAOMflJ2jdJbebOfpef7Y6bgv3Kkm9zpmg1lNvMmNK7zlPiw6aGhwf9MJFar/uQTNH70uPV+6l582YggMOVufDTwXHC489XJLUOf3pcMz4w9TxpyfMOr3OOFIdNz9mx0w5yszT64wj1XnfdDNH4Unj1Xnvk3bMKUdo3cXTguN9b5gkSWq7/M5gTJ9rztSy4/5o1qn4y/matduvzZgd3/um1n3d6OW3k8w+NvQScz+tPucWM6b/bZO1dnI4puiWyWq78m67l5+cFtVv2w/Dr8U+Pzo16l6J6aXzwfC9LUmFxx+ujqmPhOtcdEzUs6X92vBzQ5J6X3aCcq+8EBwv2O8gddxt37e9TjvCfK1KXa/XmPez3Ptvh3vZdU/lXkt5tu9zoJJPZtt1dhhlvv9mauokSbkXngvXOegQJbM/tOuM2lm+ucGMcdka+eZGY7za3FdK6/eWy8J7H0lyFVXyLUvD4+WVkpS6t7HGv4wx6myolTrnmBwxMcbeU+raf1pr5yqqzL2c1LWfi9lbxuDXLwEAAAAgj3GoAwAAAIA8xqEOAAAAAPIYhzoAAAAAyGOb/FDnnAv+TXvn3EXOuTedc29OnRr+i/QAAAAAgC498umXzrnRoSFJe4R+zns/VdLUL/8x5dMVAQAAAGBr11NfafCGpOf133+vQkkP1QQAAACArU5PHepmSfqa9/6/fKmIc87+ci0AAAAAQLSe+jt1Vxm5L+mhmgAAAACw1XHe+01b0Lkp3vubI0I3bWMAAAAAsGX57/46238N2gyHukXe+0ERod6vbAnnKSmXX73CrtV/gHxrOIckudJyWXW+rJXWy0bm+DLG6Lc7eo2p82WttF42MkdsHUkRvSxLqVMRGbOJ1t/4ECBXXCZJqfdc7o2XzToFe+0v39xg95KtUedDTwXHCycertwrf7Xr7PdVJR+8Y8ZkdtlDyaL5dsygoUoWfBoeH7K9cu+/bfey655KGuzf8M7U1KnzYWPOxx6ujlsfM3P0OvcodT4w3YwpPGG8Om5OyTPlKLX/6qHgeO9vTdTSo/9g5qh89AK1XXaHGdPn2rPMmD7XnqVlx//RzFHx4PlaccpNZsyAe89T0wS736rHL9DcPX8bHB/x9tf1+YW3mjm2vfFcNYy/0YypmX6h5uz+m+D4yHe/IUladFD4k5YHvXCRFh9sfxJz3fMXRfW77pLbg+N9rz9brafb/19n6V1T1Pbje82YPj84Re2/uD843vs7J0qSeX/3Ovcoddz9pFmn12lHaO3kW8yYolsma903bwuO9/31OWr74T1mjj4/OjWql/bf/MWM6f2N49Rx06PhHOcdrfbrHrRzXHq82r77JzOmz8/PUOf0p4PjheMPU+6F58wcBQcd0n0x77wZHt/jK8rNfNXOMWZfJXM+MmMyI3dKrZPM/sDOMWoX+cYlZoyrHqhk9ocpeXZWMndWeHzEjnHvQ/P+y98c+s8xw4bLLw2/t7rKGkky5+SqB5o5NuSJWpfG8HteprpOvrnRzpGt3ugYl62WlL5vidmHJbPeN2MyO+5qvs9nauqi9p7JkoV2nYGD465RS1N4vLwq6hr6lqV2THll1KGupz798r3QkKTKnqgJAAAAAFujnvqglEpJR0hq/Zt/7yTZf7wAAAAAAIjWU4e6RyQVee//y+9kOeee66GaAAAAALDV6ZFDnff+fGPszJ6oCQAAAABbo576SgMAAAAAwCbAoQ4AAAAA8hiHOgAAAADIYxzqAAAAACCPcagDAAAAgDzmvPebu4eQLbYxAAAAANgEXExQT31PXbdI5n0cHMsMGy7f3Gj+vMtWK/fss2ZMwdixSuoXmjGZ2sHyTfXhOlW18iua7V4GZOVXr7Bj+g+Qb20Jj5eWy7c02TnKq+JiYvpdtTw8Xlxmjm+I0WerzBhtVyytNWKKiiUpdV3MHBvyRMT4lUadknJpTaudo19pXB3jXnD9B0iS/PLwNXJlWSWfzDbLZHYYFddL67JwndIK5d57y0xRsNvoqJikcbEZk6muS7/nIl7zyeIFdp26IUrmzgqPj9gxam2ThpT51NQpmTfXjhk2wly7gt1GK/f2G2aOgj33Um7ma3bMmH2Ue+Wv4fH9vqr2Xz1k5uj9rYmqP+xGM6b26Qu16qybzZjiO6Zo3denBcf7/naS2q95wO7l8hPUfn1Kv5dMVPsv7g+Pf+dESdK6i41ebpikhvH2nGumX6iVZ9pzLrlzitZdcnu4zvVna+3kW8wcRbdMVuvpdp3Su6ao7cq7g+N9fnKaJGndN28L9/Lrc6J6eWuH68yY0Z9cqhWn3BQcH3DveVH3XMddT5gxvU4/Uh1TH7FjLjpG7dc9GK5z6fHqvH+6maPwxPFRdVafc0twvP9tk9V5z5N2nVOPUO7l582Ygv0PVufDT9l5jj1cHX94NDje64KjzeegtP5ZuGi+HTNoqJKF88Ljg4dFPSt94xIzxlUPlG9usGOyNWYeVz3Q3EtI6/cTEe/zae/PUvq+xbcstXspr4zbn6bVMd7ju2IqovanWrsyHFBUIknmnFx5ZdzaxuyVU9bf2stJXfu5jd0HS+v3JWnrH7O2MXvLCPz6JQAAAADkMQ51AAAAAJDHONQBAAAAQB7jUAcAAAAAeYxDHQAAAADkMQ51AAAAAJDHONQBAAAAQB7jUAcAAAAAeYxDHQAAAADkMee939w9hGyxjQEAAADAJuBiggp7uouN4Vc0B8fcgKz86hXmz7v+A+JimhvtmGy1/HKjl7KstKbVzKF+pdLaVXZMUbF8a0u4Tmm5/MrwuCS5knIln8w2YzI7jFLnw0+ZMYXHHi59vjocsG3/qF70xRozRtv0S60jSX7V8nCd4jLps5S13a44rhfrGhUVR91PUXWsmG36SZK5vq6k3F43qesaGesmda2db10WHi+tMO99qev+j7kXol6LLUvD4+WV0tqVZg4VlUS9FlPnbIx/GdNdz5+0Occ8W2LmnPIMi5pzzHWOeZ4ubQiPV9aYz8GuXsrNHF/mSVtbScniBcGYTN0Q+aZ6u05VrTqffNqMKTziMOXeeDk4XrDX/lHzST6dY8Zkth+ppH5heLx2sCSZc3JVtUoWzbfrDBqqZM5HdszInZTM/yQ8PnQH5d5/28xRsOueUfdT0rjY7qW6Lr2Xd960e9njK0oaUurU1CmZ9X54fMddlXvlBbvOfgcp+TjlPXz4KOXee8vOs9toJR+9F86x025KFs6z6wwepmRJ+H6SpMzAwfKNS4LjrnqgOb4hJpk7y64zYseoXpJ5c8Pjw0aYzwSp67kQ9WxJ2Z9KSn3+RD0rjTobaqXuG1ua7BzlVRv9Pu9KyiVF7NubU9Y2W7PR7zMuWx313I57D4lYu7Q5x1zDiHshBr9+CQAAAAB5jEMdAAAAAOQxDnUAAAAAkMc41AEAAABAHuNQBwAAAAB5jEMdAAAAAOQxDnUAAAAAkMc41AEAAABAHnPe+83dQ8gW2xgAAAAAbAIuJqgwKpNzE7z3j//Nv7vYe3/D/6azWKnfXv/5ajvBtv2jvsldn62y82xXLK01YoqK5Vctt+sUl0lrV9p1ikrsXrYrlm8Nr4kkudJy+dUr7Jj+A+Lm3A29RNWxruO2/SVJybyPgyGZYcO7b85p1zlmzhH3Zcycu+P+1xdr7Jht+klrWsPj/Urt8Q0xMXUiYqz1jb23f/Z7NwAAIABJREFUo2JalobHyyvlW5fZOUor4l6LzY12TLbajHHZ6rj1j4jxy8PPQleWjXqGRa1tzLoYz2U3IBuXI6LfZM5HwfHMyJ0kyczjisui3kOs+0laf0+lvJ6t8f9RTMp1liS/tCEcU1kj31Rv16mqVdKw2IzJ1NTJNxt1sjXd9xpa1mTHVFSl9xKTw1g3qWvtrHXJ1NSp85EZZo7CY8Yp9+yzZkzB2LHKvfS8HXPAwcrNfC08PmYfdT70lN3LxMPVed90O+ak8cq98kK4zn4HqfP+lBwnjo+qkyxZaMZkBg5Of7bEvJ6N15C0/nVk7eeKSiQp/bVo7Tek6D1HtzzDYl5nKXUkme8RXe8PEe+tMc+5tDox84l4PUf1YszJlVbIt6Q8W8qr4vanEWJ//fJK59yhXzbg3HclTYz8WQAAAABAD4n6kzpJx0l6xDn3HUlHSholDnUAAAAAsNlFHeq89y3OueMkzZA0U9LJfgv+y3gAAAAAsLUwD3XOuTX6zx9Y0lvSMEknO+e8975/TzYHAAAAALCZhzrvfb9N1QgAAAAA4H8u6oNSXJeznXNXrv/nOufc3j3bGgAAAAAgTeynX/5W0n6Szlz/z2sl/aZHOgIAAAAARIv99Mt9vPejnXNvS5L3vtU517sH+wIAAAAARIj9k7oO51yB1n9oinOuQlLSY10BAAAAAKK4mG8mcM6dJek0SWMk3SLpZEnf997f24O98ZUJAAAAALZmLioo9uvmnHOjJB22PvHT3vtZ//veonh9vjo8um1/+dUrzASu/wD5VcvtmOIy6bNVdifbFSu1l9Zldp3SCmltSp2iYruX7YrlVzTbdQZko3qJWher36Jiae1KM4eKSuRbltp1yivN6+j6D+j6H1atohL51ha7Tml51P2SVkdrWs0c6lca1Uvq2kqpMcmnc8w6me1Hxl2jlPX3K1PmU1Iuv6zJjqmoUtv37jJj+vz0dOVefTE4XrDvgfKNS+w61QOVLFloxmQGDjbXLrP9SCUfvGPn2GUPJR+9Z8fstFtczNzwozQzYkfl3nrdzFEwem/l3n/bjtl1T3XeNz04XnjSeK275HYzR9/rz1bnQ0+ZMYUTD1fnjGfsmHGHqu2qe4Ljfa46VWsm3WLm6DdtspYe/QczpvLRC7T6nHCe/rdNliQtO/6PwZiKB89X8zHhcUnKPnK+mWNDnsUHTw2O1z1/kRrG32jmqJl+oebtfYMZM+z1i81+s4+cL0lqu+LuYEyfq0/TqrNuNusU3zFFjUfa61/9xAVqPT2cp/SuKVH3XNMEu07V4xdo3bfvsPP88izznuo3bbJ5r0hd90vMPbfuH8Nz6vvvZ+vzC281c2x747lR67/ilJvMmAH3nqf23z0cHO/9D8cqmf+JmSMzdAf5pQ1mjKuskW8Ox7hsjZI5H9l1Ru4k31Rv16mqVdK42M5TXadk9gfh8VG7RM0npt+kIdxLpqZOkuSbG8N1stXyLSnvm+VVUfsJa10y1XXyy1P2jWXZuPd5I48ry0qSubd0xWVx+/aN3Oe60oq4OjExMfe/sXauJG7vGXEvRB3qYn/9UpLKJX3uvf+1pBbn3ND/wc8CAAAAAHpA7Fca/FDSP0v63vp/1UuS/X+xAQAAAAB6XOyf1J0g6ThJn0mS975BEl9MDgAAAACbWeyhrt13/eW7DZ9+uV3PtQQAAAAAiBV7qLvHOfd7SSXOuQslzZBk/61uAAAAAECPM7983Dl3qaSXJV0naayk1ZJGSvqB997+GDQAAAAAQI8zD3WSBqrrQDdK0vuSXlLXIW9mD/cFAAAAAIhgHuq895dLknOut6SvSNpf0hRJU51zK733O/V8iwAAAACAkLQ/qdtgG0n9JRWv/0+Duv7kDgAAAACwGbmuD7UMDDo3VdLOktZIek3Sq5Je9d63boLewo0BAAAAwN8/FxOU9id1gyT1kfSxpHpJSySt3Li+4vmWpuCYK69SMsv+w8LMjrvKLwvnkCRXUWXW2VDLr1oeHi8uk1+9ws7Rf0BcHSNPdI7lzXZMWdacj7R+TmlzXtpg56iskW9tsWNKy80YV1ouSakxMeuvtavMGBUVS2uN27uoRL51mV2ntCKuzhrj/xfpVypJZi1XWqHkg3fMMpld9rDrrK/lW5aG65RXmuMbYjpuf9yM6XX2BLX/9D4zpvf3TlLnQ+HPXyqceLhy77xp5ijY4ytK6heZMZnaQUpmfxgeH7WzcjNfteuM2VfJvI/tOsOGK/feW3ae3UYr9/7b4fFd91TnfdPNHIUnjVfurdftOqP3Vu71l8Ljex+g9useNHP0vvR4ddz8mBnTa8pRaj7mj2ZM9pHz1XrqTcHx0nvO0/x9bjBzDH3tYrX98B4zps+PTtWaSbcEx/tNmyxJar/2gWBM78tO0OcX3mrW2fbGc6N6af/dw+E6/3Bs1Pq/Pvj/mTF7L/wntV/953COK06WJLVfY8z58hO07pLbzTp9rz876hqtnXxLcLzolsla983b7Dq/PkdtV9xtxvS5+jS1/+ohM6b3tyZq8cFTg+N1z1+kJWPD45I08NmLNGf335gxI9/9hhYd+Pvg+KAXvxbVa8xrvvPRGXbM0ePMmMKjx6nzsZQcR41T54P2Z+IVHn+4cm++Ehwv+Mp+6nzyaTvHEYcpmTvLjMmM2FG+udGMcdlqJYvmh3MMGqpk/id2naE7KGlYbMfU1Mk3h/c/LlsjSWaetBwb8kT10lQfzlFVG7lXS9/b+JXGPqxk/V4tZd++sXU21Erdt8TsgyP2NlH9puzVzH2lJBWVRO3VYqT9nbojnXNOXX9at7+kf5K0i3NuhaRXvPc/jKoCAAAAAOgRqX+nbv2Xjn/gnFspadX6/xwjaW9JHOoAAAAAYDNK+566b6nrT+j2l9Shrq8zeFnSTeKDUgAAAABgs0v7k7ohku6V9G3vvf3LzAAAAACATS7t79RdtqkaAQAAAAD8z2U2dwMAAAAAgP89DnUAAAAAkMc41AEAAABAHuNQBwAAAAB5zHV9Dd0WaYttDAAAAAA2ARcTlPrl45uTb1kaHHPlldLnq+0E2/aPivGtLWaIKy2X1q4KBxQVS1+ssets009a02rH9CuVX70i3Ef/AfKrlpspXHFZ1HysOl/WSutlWZOdo6IqrpflzeHxsqwkyS9tCMdU1kStrdautGOKSsz1dcVl8itT5lNSrmTxAjMmUzfEzONKyiVJfoWxLgOyUb1E3XMp6++b7W8zcdlqdT7+tBlTOOEwtV12hxnT59qzzLXL1A1RUr/QzJGpHRwXM29ueHzYCOVeeM7MUXDQIcrNfNWOGbOvcm++Ysd8ZT/lXn8pPL73Acq99qKdY58D1fnUM2ZM4eGHqnNGOKZw3KHquPMJM0evM49Ux82P2TFTjtKaSbeYMf2mTda6r08Ljvf97SS1fe8uM0efn56ujltTejn3KLVdfmc4xzVnSpLWfTt8X/b95VnSurVmHfUt2viY7sgRW0facnrZFHW2pF6Y89bRy9b4Otsa57ype4nAr18CAAAAQB7jUAcAAAAAeYxDHQAAAADkMQ51AAAAAJDHtqhDnXPuIufcm865N6dOnbq52wEAAACALV6PfPqlc66/pO9JGijpce/9nf9h7Lfe+6//dz/nvZ8qaeqX/2h8+iUAAAAAoOf+pO5mdX2nwn2STnfO3eec67N+bN8eqgkAAAAAW52eOtRt773/F+/9g9774yS9JekZ51xZD9UDAAAAgK1ST335eB/nXMZ7n0iS9/5q51y9pBckxX2DHgAAAAAglfPed39S534uabr3fsbf/PsjJV3vvR8ekab7GwMAAACA/OGignriUGcWdG6K9/7miFCvdWvDo32LZI5vypi/tzpbUi991//B7pbSC3P++++FOW8dvWyNr7Otcc5bUi/MeevoZWt8nW2Nc960vUQd6jbHVxr8aDPUBAAAAIC/Sz31lQbvhYYkVfZETQAAAADYGvXUB6VUSjpCUuvf/Hsn6eUeqgkAAAAAW52eOtQ9IqnIe//O3w44557roZoAAAAAsNXpkUOd9/58Y+zMnqgJAAAAAFujzfFBKQAAAACAbsKhDgAAAADyGIc6AAAAAMhjHOoAAAAAII857/3m7iFki20MAAAAADYBFxPUU19p0D3WrQ2P9S2yxzdlzN9bnS2pl75FXf+9pfTCnP/+e2HOPR6TfPhucDiz8+5qPf1mM0XpXVPUfvWfzZjeV5ysdZfcHm7j+rMlSeu+eVs45tfnqO1f7Tp9vn+y2q682475yWnqmPpIcLzXRceo/Rf3mzl6f+dEtX33T3adn5+hL742LTi+ze8nSVLqurT98B67zo9O1aqz7GtUfMeU1Dq5Z581cxSMHavOx2aYMYVHjVPuuZQ8h4xV7ulnwuOHHarcuzPtHLuPUe7tN+yYPfdSbuZr4fEx+8TlePVFO2bfA5V7/jk75uBDlMz5KDieGbmTko/eM3NkdtpNydxZdsyIHZUsXhAerxuipH6hnaN2sJL6RSkxg5Q0LrZjquvMmLTxDTHWa1Xqer3m3nsrOF6w22hJSr0X/LIms46rqJJvbrBjsjXyLeE8rrxKfmlKjsoaJfM+NmMyw4ab/bqKKklS7v23gzEFu+6p3JuvmHUKvrJf1PqvPe/W4HjRTefqZ5n/Y+b4l+T/6puZy82YXyfXaHr/q82Y8auv0LTMlcHxSclP9KfMD8wcZyQ/1g8y/2LG/Dj5mTm+Ab9+CQAAAAB5jEMdAAAAAOQxDnUAAAAAkMc41AEAAABAHuNQBwAAAAB5jEMdAAAAAOQxDnUAAAAAkMc41AEAAABAHuNQBwAAAAB5zHnvN3cPIVtsYwAAAACwCbiYoMKe7mJj/CDzL8GxHyc/U8e0x82f7zVpgpYe/QczpvLRC9R+/UNmTO9LJqrzwaeC44XHH67czFfNHAVj9pVvXWbGuNIK6bNV4YDtiqNy+NUr7Jj+A6S1Rh1JKiqWX9kSzlFSHlfHmo+0fk5GndLyrv+xpjWco1+pmWNDHt/caMdkq1PrRK1bN1xnSfIrmsM5BmSj5qy1K80YFZXYMUUl8svDfUiSK8uavUrr+424X9Luhbh7O33OqXValtp1yivN14fU9RpJFs03YzKDhso3LgnnqB4Ydd/GXKPcqy8Gxwv2PVAdNz1q5uh13tFKPpltxmR2GKWkfpEdUztIScPi8HhNnZKF8+wcg4cpmf2hHTNqZyWNRp3qOklSMuejcMzInczxDTG5d2eaMQW7jzHXJVM7SMmCT+06Q7ZXUr/QjqkdLN/cEBx32RpJSo3xTfVmHVdVq2TxAruXuiHKPf1McLzgsEOjcsTcC50PTDdjCk8Yr/brHgyO9770eC077o9mjoq/nB/3Gpn/SbjXoTuY96TUdV8mS1Ku88DBUa+ztNd8zPMpKsa4LzO1g83Xu7T+NR8R45eG71tJcpU16a+zubPsOiN2VPs1D5gxvS8/QX/K/CA4fkbyY0nSdZkrgjGXJldL69aaddS3aONjuiNHbB1py+llU9TZ1L1E4NcvAQAAACCPcagDAAAAgDzGoQ4AAAAA8hiHOgAAAADIYxzqAAAAACCPcagDAAAAgDzGoQ4AAAAA8hiHOgAAAADIYxzqAAAAACCPOe/95u4hZIttDAAAAAA2ARcTVNjTXWyUdWvDY32L7PFNGfP3VmdL6qVvUdd/bym9MOe//16Y89bRy9b4Ooucc+69t8wyBbuNVu7VF+2YfQ/UZPft4Pgt/pf6f5n/Y+b4p+T/KvlkthmT2WGUfHODGeOyNWaezA6jlCz41K4zZHvlZr5qxhSM2VfJvI/DOYYNVzLnI7vOyJ2ULJpvxwwaqmTJQjtm4GAzJjNwsJKGxXaOmjr55c1mjCvLmv1mBg1VsniBXaduSNx1bm2xeyktl29cEh6vHijfstTOUV4p39xox2Sr5Zc1hccrqiTJvC9dtkZ+RcraDsjKL025tytrUnvxq1fYOfoPkNa0mjHqV2r26wZkJcm8X1xZNu4abuQ1ctlq+ZUpdUrK42Ji7gUjT3SdmGsUgV+/BAAAAIA8xqEOAAAAAPIYhzoAAAAAyGMc6gAAAAAgj3GoAwAAAIA8xqEOAAAAAPIYhzoAAAAAyGMc6gAAAAAgjznv/ebuIWSLbQwAAAAANgEXE1TY011sjLRvadfaVXaCouKoGN+6zAxxpRXSZ0ae7Yrt8fUxUXWsfouK5VtTvpm+NPKb6Td27WLXrRvqSJJf0RyuMyArrV2ZUqck7l5Iued8y1IzhSuvjFoXK48rr5QkJY2LgzGZ6rqoOsnHs82YzPBRShqMOjV16nxkhpmj8Jhx8s2Ndi/ZaiVzPrJ7GbmT2W9m+Cj5pnq7TlWtcq++aMYU7Htg6tomi+bbvQ4aqmTeXDtm2AjlXkvpZZ8D1Xn/9OB44Ynjo+aTe/ZZO2bsWM3Z/TfB8ZHvfkMddz5h5uh15pFqu/JuM6bPT05T2xUpMVefptzLz4d73f9gdT70lJmjcOLh6nzqGTvm8EO18sybg+Mld06RJK045aZgzIB7zzPHN8Q0jLvRjKmZcaHWXXJ7cLzv9Wdr3TdvM3P0/fU5WjJ2qhkz8NmL9MXXpgXHt/n9JElS23f/FIzp8/Mz1Hb5nWadPtecqeUn2etSdt95qXNu++E9dp0fnaqOmx41Y3qdd3RUnrZ//XN4/Psnq/36h8wcvS+ZqLYf32vX+cEpav/F/eEc3zlRHTc8bObodfGxUTExr8XOJ58OjhcecZhy771l5ijYbbSS2R+aMZlROyv58N3w+M67KzfzNbvOmH2ULJxn1xk8TMn8T+yYoTt0Sy9tl91hxvS59iwl8z4O1xk2XFL6e3iy4FOzTmbI9lHvM8nsD8Ljo3ZRUr/IzlE7SH5ZkxnjKqrM93mXrZYk8z3aVdVGXcOY/YRvXBIerx4ovzy8Z5QkV5aVb0mZc3mV/NIGO6ayRkn9wuB4pnawklnvmzkyO+4atf4x+PVLAAAAAMhjHOoAAAAAII9xqAMAAACAPMahDgAAAADyGIc6AAAAAMhjHOoAAAAAII9xqAMAAACAPMahDgAAAADyGIc6AAAAAMhjznu/uXsI2WIbAwAAAIBNwMUEFfZ0FxvDL28OjrmyrDn+ZUxLkx1TXiXfuMSOqR4ov2p5eLy4TH5li52jpDyuFyOPKymXX5aSo6Iqbl2M+Ujpc4rupXWZHVNaYa6LK6+SJPMaueqB8i1L7TrllXExaXWa6u0cVbXyzQ12TLYmtY4kJfULgzGZ2sFKPp5t1skMHxXVb+c9TwbHC089Qu3XP2Tm6H3JRCXz5tq9DBuhZNF8O2bQUHU+/nS4lwmHqfOpZ8wchYcfqvbf/MWM6f2N49Rx++PB8V5nT1Dy4bt2rzvvrmTW+3bMjrsqmTvLjhmxo1krs/PuSj54x86xyx7KvfKCGVOw30HKvf5SeHzvA9T5ZHjtJanwiMPUed90O+ak8eq4Lby2ktTrnAlq/1X4nur9rYlqv/rPZo7eV5ysjhsetutcfKyZp/cVJ0tSakzbFXebdfpcfZraLrvDjrn2LLVf80C4zuUnqGNayrpNmhB1b1uv196XTJQkNR75h2BM9RMXaNlxfzTrVPzlfDVNCOeQpKrHL1DzMeE82UfO1/KTbjJzlN13nubvc4MZM/S1i6P6XXjA74Pjg1/6mt7a4Tozx+hPLo16FlqvkcKTxiv31utmjoLReyv3xst2zF77q/OxGWZM4VHjlHv+uXCOgw9R7v237Tq77qncc8/aMYeMVe6vRp2vHqKOu54wc/Q6/Ujlnk2pM3asOR9p/ZyMfgsOGRv3rIxZl/feCo/vNlqSzPeIzI67Kvfai3adfQ5U8ukcMyaz/UglixeEx+uGKFkS3ktIUmbgYCXzP7Fjhu5gvodnBg2VJPnmxmCMy1Z3357c2Ge5bE3cXi1mD7s0ZT9XWSO/wjirDMia41/GRMw5Br9+CQAAAAB5jEMdAAAAAOQxDnUAAAAAkMc41AEAAABAHuNQBwAAAAB5jEMdAAAAAOQxDnUAAAAAkMc41AEAAABAHuNQBwAAAAB5zHnvN3cPIVtsYwAAAACwCbiYoMKe7mJj+JalwTFXXmmOfxmztMGOqayRX9Zkx1RUpfcSkyOml7Q6TfV2jqpa+eZGOyZbLd+S0m95xJxjeolZF6Nfl62WJCUNi4MxmZq6uLWNiEnqF4br1A5WUr/IzJGpHRQV45vDvbhsjSSlrotvXGLWcdUDu2X9269/yMzR+5KJcb1E3JfW2mVqBymZ97GZIzNsuHIvPW/GFBxwsHLvvRUe3220cq+8YOfY7yDl3njZjtlrf+Xeet2OGb23Oh9/OjheOOEwdT78lJmj8NjD1Xnvk3bMKUeo85EZ4fFjxqnte3eZOfr89HQtO+6PZkzFX85X2w/vsfP86FS1XXl3ePwnp0XlWHfJ7WZM3+vPVvu/3R8c7/3PJ0qS2r77p3Cdn5+hdRdPs+vcMEltl99pxvS55ky1XRWeU5+rTlX7NQ+YOXpffoLar/6zHXPFyfr8wluD49veeK4kqf3acK3el52g1lNvMuuU3nOeVp55sxlTcucUtf/CWP/vnBi1tu2/e9iM6f0Px5rzkbrm1P7T+8Lj3ztJ7dc9aOe49Hi1/+Yvdsw3jkudc9tld5g5+lx7ljpufsyM6TXlqLiYW8Mxvc49SsmH75o5MjvvrtzMV82YgjH7Kpn9YTjHqJ2Ve/sNO8eeeyn3zpt2zB5fUfLpHDMms/1IJXNnhcdH7Gi+x0v/g/f5j2eHx4ePkiQlS4z9xMDB5viXMcbeR+ra/ySfGL3sMCpqrxY150ZjH1ZdJ0nmnqNrv5GyD8vWKFm8wO6lboiSeXPD48NGRO19ovZqMeeMtL1yzP4oYk8eg1+/BAAAAIA8xqEOAAAAAPIYhzoAAAAAyGMc6gAAAAAgj/XIoc45V+Wc+51z7jfOuTLn3FXOufedc/c456qNn7vIOfemc+7NqVOn9kRrAAAAAPB3pac+/fIWSY9K2k7Ss5LukHSUpOMl3SBp4n/3Q977qZKmfvmPKZ86AwAAAABbu5769ctK7/313vufSSrx3v+b936x9/56SYN7qCYAAAAAbHV66lD3H/P+7RfRFPRQTQAAAADY6vTUoe4h51yRJHnvv7/hXzrndpBkf3skAAAAACCa895v2oLOTfHe3xwRumkbAwAAAIAti4sK2gyHukXe+0ERod63NIXzlFfJL22wa1XWyC8L55AkV1El37rMjimtMPO4iir55kY7R7ZafnmzHVOWlfXhMK68Ur6p3s5RVRs355hejBhXlo1b/5QPu3HllUq7zpKUNC4OxmSq6+LmbNTZUKtb6kTEJA1GnZo6STLvKZetjqtjzEfqmlPur88Fxwu+ekjcnCPuS2vOUte8c+/ODPey+xgl9YvsHLWDlMz72I4ZNlzJ7A/C46N2Uef0p80cheMPU+f90+2YE8er86Gn7JiJh6vjrieC471OP9Ic3xDT+egMu87R49T+q4eC472/NVFtl99p5uhzzZlq+/G9dswPTlH7dQ+aMb0vPV4dUx8Jjve66Bi1/+J+O8d3TjTnI62f03f/FO7152dIkjmnPj84RZ9feKtZZ9sbz1XbFXebMX2uPk3t1xvrf8nEqBzWuklda5d2P0lSx62PhWPOPUodN4fHJanXlKPUdtU9Zkyfq05Vx7THwzkmTYi6V9qvfcCOueyEuNfZTY+GeznvaHU+nJLj2MPVccPDZkyvi49NvZ+sNZG61iX39DNmTMFhh0bFdM4IxxSOO1S5ma/ZOcbso9xrL9ox+xyo9mvC16j35Sco995bdo7dRitZ8KkZkxmyvZJF8+2YQUPNORWM2Uf3Zn5g5jgl+bGuznzPjLki+akuy3w3OH5t8nNJ0g8y/xKM+XHyM03LXGnWmZT8RC9W/9yMObDxu2oYd2NwvGbGhVp38d/+Laj/rO8Nk9T2L+FnpST1+dkZavveXeHxn54uSep8IPy+WHjC+I2+b6X19+6zz4ZzjB2rzsdS3hOPGhcVk3v9JTOmYO8DlMx6Pzie2XFXc3xDTO7tN+w6e+4VdajrkU+/dM69FxqSVNkTNQEAAABga9RTX2lQKekISa1/8++dpJd7qCYAAAAAbHV66lD3iKQi7/07fzvgnHuuh2oCAAAAwFanRw513vvzjbEze6ImAAAAAGyNeuorDQAAAAAAmwCHOgAAAADIYxzqAAAAACCPcagDAAAAgDzGoQ4AAAAA8pjz3m/uHkK22MYAAAAAYBNwMUE99T113SL3zpvBsYI9vqJk1vvmz2d23FXJp3PsmO1HKpk3144ZNkK5998O97LrnkoWzbdzDBoq39xgxrhsjXzjkvB49UAljYvtOtV18s2NKXWq5Zc12TEVVWa/LlsTV6ep3o6pqlXSEJ5TpqZOklJjYuaT1C8yYzK1g5QsWRgeHzjYvD5S/DVK6o06tYMlKX39I3qJ6td4jWS2H6mWE/5o5ih/4Hwlsz80YzKjdlayeIEdUzdE6/7x9uB4338/W7m3XjdzFIzeW8nsD1J62cXMUzB6b3XeN93MUXjSeOVeet7u5YCD1Tn9aTvP+MOUe+G5cI6DDlHu2WftOmPHRvXbcecTwfFeZx6pL742zcyxze8nqfHIP5gx1U9coNbTbzZjSu+aknqd106+xcxRdMtkM8eGPNa9W/5A1zfvNE0Iz6nq8Qu09Gh7zpWPXqC2H99rxvT5wSmpc45Z/88vvNWM2fbGc7XilJuC4wPuPU+StPykcEzZfedpzaRbzDr9pk3WkrFTzZiBz16k+sNuDI7XPn2htG6tmUN9i9Rx++NmSK+zJ6jz4afMmMJjD1fHrY+Fc5x7lDm+ISb3yl/NmIL9vqrcqy+Gx/c9MCpH8uG7Zkxm592VfDzbjhk+Sp33PhkcLzzliKjnaefjKc+wCYfxCSbOAAAgAElEQVQp+STcS2aHUeb+SeraQ+XefsOO2XMv5d57y47ZbbSSD/7L1yP//73ssod5faSuaxS1tzT2jZlhIyTJ3BdmBg019zVS194mas9n7LNcVa380pS9Z2VN1F4trY4ks5arrInrJSYmZa/cXfujqH27sRd22eq4fVjEGSIGv34JAAAAAHmMQx0AAAAA5DEOdQAAAACQxzjUAQAAAEAe41AHAAAAAHmMQx0AAAAA5DEOdQAAAACQxzjUAQAAAEAe41AHAAAAAHnMee83dw8hW2xjAAAAALAJuJigwp7uYmMkixcExzJ1Q+SbG82fd9lq+eaGlJiayDzhGJetll+aUqeyZqN7cdlq+aZ6O0dVbVxMVL/dMOfGJXZM9UAzxlUPlKT0XmLWdlmTHVNRJd8SjnHlVRt9r8TEuGy1JJn9uorYXiLWJWX9u+1+6oZ7IWlYbObI1NRtdL/Rr9WY+WzkukTniIix1i5TU6ekMWVtq+ui1j+pX2TH1A5SUr/QGB8cV2cje8nUDpIkc96Z6jolS8K9SlJm4GDzvUrqer9KXf+YOgvn2TGDh5l5MgMHS5KSRfPDMYOGdt+cU+rk3njZzFGw1/5KFnxq1xmyfVy/KesSlWP+J3bM0B26596OeQ3F9JJ2zxnXR+q6RjHP02Tex+Ecw4Z3274lZl1Sn+0xz0rjGnbVGWz266pqJUXsWzbyPXFDTNp17rb3qpS1ldQt698te+WN3ON+mSdm32j067I18iua7RwDsvLLU2LKsub4Bvz6JQAAAADkMQ51AAAAAJDHONQBAAAAQB7jUAcAAAAAeYxDHQAAAADkMQ51AAAAAJDHONQBAAAAQB7jUAcAAAAAeYxDHQAAAADkMee939w9hGyxjQEAAADAJuBiggp7uouN4Zc2BMdcZY18S5P58668Sr5laUpMpXxTvR1TVSu/LFzLVVSZ41/GdEMdrVtr5lDfok0T07cobj7N4WsoSS5bkz5nyczjsjUbXWdDLd/caOSojpvzRt6XrrxSUsT9v7zZrlOWlV+REjMgmz7nmBwxvRh1vqxl5ImeT8z6p72eY+pErW3EfZk258Yldo7qgXFzTqsTcQ2TJQvNmMzAwZH3v7H+5VVK6lPq1A7utmeLVStTO1jJ4gV2L3VD4p4LRoyrqlXSsNiuU1MXFZN7763geMFuoyVJSWM4T6a6Tsn8T+w6Q3eIWhcrJlM3RMnCeXaOwcOUe/oZM6bgsEPVccPDZkyvi481a2UGD1NSv8jupXaQknlz7ZhhI5R8Oic8vv1IJQs+tXMM2V7J7A/tmFE7K5n9QUrMLqm95N5+w8xRsOdeyr32oh2zz4HqfPip4HjhsYcrmfOR3evIneLmHLH+nY/OCPdy9Lioey5ZNN+OGTQ09X1TkpKPZ4dzDB9lvlalrtdr1Pum8R7hqgfG7X02cq/sqmolqVuec1G9dMf7Zsx7eMTaWa/pzJDtu22vFoNfvwQAAACAPMahDgAAAADyGIc6AAAAAMhjHOoAAAAAII9xqAMAAACAPMahDgAAAADyGIc6AAAAAMhjHOoAAAAAII9xqAMAAACAPOa895u7h5AttjEAAAAA2ARcTFBhT3exMfyypuCYq6iSb24wf95la+RXNNsxA7Lyy1NiyrLyS8O1XGWNfMtSO0d5ZVxMU314vKrWHP8yJmZdNrJfV165yepIUtK4OBiTqa6LW5eW8P3UVavKvBdcWda8J6UN92WjHZOtTq0jKb2XiDkn9YvMmEztIHNdXHmVkvqFKTkGq/3f7jdjev/zifKNS8wYVz1Qyby54TrDRiiZ97Hdy7DhShbNt2MGDVXujZeD4wV77a9k1vt2jh13VfLBO3bMLnso9/YbZkzBnnup8/Gng+OFEw5T7vWX7Bx7H6Dcay/aMfscqNzzz4XHDz5E7b9IuYbfOVHtv3rIjvnWRLVfnxJzyUSzVu/vnKhVZ91s5ii+Y4o6pj1uxvSaNEGfX3hrcHzbG8+VJC077o/BmIq/nK+WE8LjklT+wPlqGH+jGVMz/UIzT/kD52vJ2KlmjoHPXqS5e/7WjBnx9tc1f58bguNDX7tYkrTooHCtQS9cFNVLzLo0TfhDcLzq8Qu0+pxbzBz9b5uslWfa90LJnVO07tt3mDF9f3mW1n19Wnj8t5O09rzwvSJJRTedGzVnq9+SO6eYfWzopeOmR82YXucdHRXTdsXdwfE+V58W9WzpmPqIXeeiY8w8BXsfoNzM1+w6Y/aJmk/M8zT5dE5wPLP9SOXenWnn2H2MkoXzzJjM4GFKPp4dHh8+SpJSY5IFn9p1hmwf9Z6Xe+v14HjB6L2VzP/EzjF0ByWLF9gxdUPMXjLDhkuSktkfhmNG7Ry3D1iSsucYONjcf7psjblnl7r27UlDeF8pSZmaurj9XMoeKqaXmHNIDH79EgAAAADyGIc6AAAAAMhjHOoAAAAAII9xqAMAAACAPMahDgAAAADyGIc6AAAAAMhjHOoAAAAAII9xqAMAAACAPOa895u7h5AttjEAAAAA2ARcTFBhT3exMXzL0uCYK69Usmi++fOZQUPNb52X1n/z/LLwt8FLkquwvxHeVdbIN9XbOapqldQvMmMytYPMfl22RknjYjtHdV33zbklHOPKq5Q0pPRSU2fm2JDH6sVVVEmSWStTEznn5saUmGrzOrqq2rj5GPdtV0xl6nWWlNpLUr/QrJOpHWzet1LXvZvMnRXOMWJHdT78lJmj8NjDo3rJvf+2GVOw657p1znidZZ7d6ZdZ/cxSuZ8FK4zciflnn3WzjF2rDpnPGPGFI47VMmH75oxmZ13V+7VF8N19j1QuTdetnvZa3/lXnjOjjnoEHU+OiPc69Hj1Hn/dDNH4Ynj1fbdP5kxfX5+htouu8OOufYstf/i/uB47++cqPaf3mfm6P29k8wcMXl6f+8kSVLbv/453Ov3T1bb5Xeadfpcc2Zcv9c8EB6//AS1/+Yvdo5vHKf2q8O9SlLvK07W5xfeGhzf9sb/j707j7O7LO///75OJgkqBZLMnNmzQthkDaLiwhIgBFlE3GUHqWhtq239ltpvq/21P61abat1iQooIIIiLsiOgigCQmSHQPZkMslkkqDFliQzn/v7xzkTQ5j7+tw6Z5bPnNfz8ciD5NzXua/rvj/3Z7mZMzPnSpLWnfjVaEzbbe/Vc+++3M2z17fO1wvv+6Ybs9uXz9Fvz74i2r7Hlefp+fPi7ZK0+xXnuX0M9LPpzMvcmGnXX6DfXRifl1d8/Vxt+2z8+EjSpA+f4fYx0M/2a26Jtk9810lJ16ft197qxkx8x4Kk66l37ZjwqqOUPf6w20fplYcm1dv/0H3x9nmvSevjTv96OmH+ccqWP+PGlGbPVfbko/H2Aw5Ouz88/YSfZ78DlS1bEm+fs68kucdowkGHKVu5zM8zc46yNSv9mM6Z7nEsvfLQtGeFhOejvDySlK2N5yp1zEgaT8pzljemUvsMhU09fh/TykN+VpOqz5ZbNsbbpzS57TtiEp7JU/DxSwAAAAAoMDZ1AAAAAFBgbOoAAAAAoMDY1AEAAABAgbGpAwAAAIACY1MHAAAAAAXGpg4AAAAACoxNHQAAAAAUGJs6AAAAACgwCyGMdg0xY7YwAAAAABgBlhLUMNxVDEXoXR9ts8YWhd4N7vutsVlhwzo/prlNoafbjym3KmzqibdPK6f1kRKz2ckztazQkzOecps7b1J17pw8O3Jt2Rhvn9I05PGk5pHkHkdrbhtynoFcNcmTErO+K97e0i5J+WvB6WOgn5SYbM3KaHupc6b6f3aX28eENx6jF/7sSjdmty+cnXYudq+Nt7d2KFux1O2jNGtvZc885cfM3V/ZU4/F2/c/SP333OX2MeENx6j/pz/1Y449Vv2/utePedVR6n/ovnj7vNeo78d3uH00vOl49V1/mx9z5onquyneT8PJx2v7ohvdPiZefIqev+Abbszul52bFPPcuy+Ptu/1rfP1wgevcvvY7fNn6X//9JtuzMu+co62/vN3o+2T//6tkqRnDvtiNGbur9+vFa/+sptn1v3v02P7/6cbc9BTf67fnn1FtH2PK89LGnPKeebN/+6XnStJbj+7feFsrTv+q26etjvemzQv3jF62VfOSRqzdwylynF84UNX+/187j25Y/7dhf66fcXXz9WmMy9zY6Zdf0Hucd72ievdPiZdeqa2X3urGzPxHQvU9x0/puFtC9T3o9vj7aeeoP5HF7t9TDj4cPUvfsCPOfxI9x4x4Y3HqO/GnGvYKcenXSsT7kXZ009E20v7Haj+X9zt9/G6o5WtXObGlGbOUbZ2Vby9Y4YkKVu1PB4zY3baPdy5J0qV+6L3LGbl1rTngGVL3JjSnH3Tnlty7uFJY055VnCe/62xOelZOeuKH0NJKrXPSHue2+jsVZpa0p7bE45zCj5+CQAAAAAFxqYOAAAAAAqMTR0AAAAAFBibOgAAAAAosBHb1JlZOSHmYjN70MweXLRo0UiUBQAAAACFNiw//dLMpu76kqQHzOwwVX6NwubB3hdCWCRp0Y5/5vwURwAAAACod8P1Kw16Je36s0LbJS1W5ffPzR6mvAAAAABQV4br45d/I2mJpNNCCLNCCLMkra3+nQ0dAAAAANTIsGzqQgj/JukiSf9gZp81sz9R5St0AAAAAIAashCGd69lZqdJ+jtJM0MILX/AW9kEAgAAAKhnlhQ03Js6STKzl0maE0J43MzODyFcnvC2kHWviTaWWjsVetb5ecttCpt6/JhpZeX9QBZrbHFzWblNYXNOnqllhd4NOXmaFdZ3xdtb2tPGvDFnPE0tafPi9GNNLQobcmppbksbc87cSlLo6XZiWod8DAdy5edJGU+8jx39OHNnzdUx58x/1rXazVNqn65sXfwckqRSW2dunm3//n23j0l/+Wb1332XGzPh6GOUrVjq1zJrb2WrV8Tbp89S/6OL/TwHH67+hx/0Yw49Qv2P/TreftBh6rvxDrePhlOOV9/tP/FjTjguaV76br0z3seC+dp+1c1uHxPPWqht//kDN2bSn5+ubf/1w3j7B05LOs5bP3KNGzP5U+/S9m/d4sZMfPdJ2vp/r4338f+9Q9v+5bt+LR99a1LMxjd/Pdre9P0LJUld878ajWm/8736n/d+w83z8q+eq63/9B03ZvI/vE3bPnNDvNa/PkPbv/Zjt4+JF71J2z4b70OSJn34DG371+/F2//PWyRJWz92XbzWj71dWy/9tptn8ifembYWvhlfuxPPWai+H93u9tFw6glpMTfc5seccaK2X+nUcnZaLduvvdWNmfiOBdr6z/F1Ofnv3+oeH6lyjLZ96Ud+zCWnpq2FTztr4W/eknad+0HOvJx+grZfEz/nJ77rpKQ8/Xf619MJ849T9uSjbkzpgIPdehtOP8G99kuV63//Iw/5MYfMU/bMU/E65u4vSer/5T3xPl77hrR7VUotjz8cr+WVh6p/8QN+H4cfqf77fu7HvOb16rvZuVctnC9J+c/KKc9hKc+Wec/KTvuOmBo9T2fLn4m2l2bPTXsmz49J2tSNyK80CCH8bwjh8eo/Pz4SOQEAAACgHgzXrzSI/e8Uk9Q8HDkBAAAAoB4N1680aJa0QNKWXV43SfcOU04AAAAAqDvDtam7UdLuIYSXfNDXzO4appwAAAAAUHeGZVMXQrjQaXv3cOQEAAAAgHo0Ij8oBQAAAAAwPNjUAQAAAECBsakDAAAAgAJjUwcAAAAABWYhhNGuIWbMFgYAAAAAI8BSgobrVxrUROjpjrZZuVVh43r3/dbU4vbxB/XjxOS1/0ExtRhzb05M49DrTZ7blJgN6+LtzW2SEtZCrWrpcWopt7ntv48ZWi1WbpUkZevWRGNKbZ0K67v8PC3tSbVkXaviedpnaPuXf+T2MfF9p2rTmZe5MdOuv0DZ2ngeSSp1zFDoXhuvtbVD2bNP+33ss5+2X3mzGzPx7IXq+8Ht0faG009Q3/fj7ZLU8OYTtO0/f+DGTPrz09X/y3vcmAmvfYP6f/2rePthr1L/vXf7fRx1tPpuvMONaTjlePXddme8/cT5ev68K9w+dr/iPK07/qtuTNsd79Xmt/lrYep3LlDvGV+PtjfecKH+573fcPt4+VfP1dZLv+3GTP7EO7X1I9fE2z/1LknS+oVfi8a03HyRfnv2FW6ePa48TxtPi49Hkpp+eKG2feL6aPukS8/UCx+62u1jt8+9xx2PVBnTC+//ZryPL54jSbkxXvtATMqY//dP4/287CvnaNtnb3D7mPThM7T9qpzz+ayF2v61H/sxF73JvS5MPHth0nmWdD7f//N4+6tf757vUuWcz5bmXOf23i+tn1XL433MmK1sxVI/z6y9la1e4cdMn6Vszcp4e+fMpGt/UoyTZ0cu5x5R2me/tDzOPVGq3Bfz7puS3Hu0tbQrW7nMzzNzjntPlCr3xdw8zrOEVH2ecJ7DpMqzWN79WVJuTMpzS9L81+L5KCUmZf5znmGTnhsT5j8FH78EAAAAgAJjUwcAAAAABcamDgAAAAAKjE0dAAAAABQYmzoAAAAAKDA2dQAAAABQYGzqAAAAAKDA2NQBAAAAQIGxqQMAAACAArMQwmjXEDNmCwMAAACAEWApQQ3DXcVQhA3rom3W3Oa274jp6fZjyq2JMU4t5dQ8OfWW/TFVxpPQx8b1fkxTi0LvBj+msdkdk5VbFTb1+H1MKyfm8edWkttPXh8D/STVkpcnZc0l5YkfI2tskaTazH9Kvc56qayVnPXU2KKwvsuPaWlP6ydnXkL3Wr+P1o4hr39rbE4bT62uLU6u5HlLuhbmXMMS5i3rXuPGlFo7la3LiWnrTFhz+edQ1rXaz9M+XdnqFfH26bMkJZxnKWsu5Rg5/Vhrh7I1K90+Sp0z045zznqSlDsvSXObcJy9fkrt05V1rcrJMyPpXMzW5vTTMSN3/lOOc8q85K7tpGtLwv0s5dqS9zyRcq9KuZ7mzW1KrSnnWcL6z1tzSfOfdD/z7yFSwjNs0nPL0K8tSdeNIT7b7Bhz3vU0Kc/Q7nnp+4OU82xox8gaW9LOoYQ8Kfj4JQAAAAAUGJs6AAAAACgwNnUAAAAAUGBs6gAAAACgwNjUAQAAAECBsakDAAAAgAJjUwcAAAAABcamDgAAAAAKjE0dAAAAABSYhRBGu4aYMVsYAAAAAIwASwlqGO4qhiJs6om22bSyQu969/3W2KKwYZ0f09ymsDmeR5Jsajm/llrl6d0Qb29sTsuzMWdemloSa4n3Y40ttcvj9GNNLZKUG+MdH6l6jHq6/Zhy68jlyZlbSe7c2dSh5xnIlbu2e3LWXLktLY+ztisxzW6u5Dwpa86Zu+R5W9/lx7S0px2jkbrO5Z3PCcc561rtxpTapyfVkq1bE++jrVPZ6hV+numzkuY2W7ks3sfMOZKkrGtVPKZ9hkL3Wj9Pa0dSvXm1JOVxapUq9WZrVsbbO2dKUm6M174j5unH/Zj9Xumul1L79LR5c9aKVFkvSevfmV9r7UjKkzIv/Y8ujrZPOPhw9T90n9vHhHmvUf/iB/yYw49UtmKpX8usvZUteTLevu8BafOfksfpJ7mPtTlru2OGsu6cY9TaqWz5s/H22fsoW7Xc72PG7LTrXM49RJJbb6m1M+mcT3rOyrtv1upelZNHUu55lvYckFCLc87n3e8qedLueWn31pzn9pRjmBCTgo9fAgAAAECBsakDAAAAgAJjUwcAAAAABcamDgAAAAAKjE0dAAAAABQYmzoAAAAAKDA2dQAAAABQYGzqAAAAAKDA2NQBAAAAQIFZCGG0a4gZs4UBAAAAwAiwlKCG4a5iKMKmnmibTSsr9HS777dyq8LG9X5MU4ubZ0euDevi7c1tCr05eRoT8/Q4ecptbvvvYxLmJaUWZ+6sqSUtT8q8rO+Kt7e0S5KbK/k4O3kGcuWOOSVP91o/prVDoXdDvL2xWZLcubPGFmXLn3HzlGbPdfMM5Mobc7ZujZ+nrTNpXrZ/+UduzMT3naq+798ebW948wnKulb5tbTPULb8WT9m9j7Knnos3r7/Qepf/IDbx4TDj3T7GOgne/JRP+aAg9X/2K/jeQ46TP0P3efXMu816rv1TjemYcF8d/4nvu9UvfDBq9w+dvv8Wfrt2Ve4MXtceZ62fck/zpMuOVXbPv+DePsHT9e2//qh38cHTtP2q252YyaetVDbPntDvI8PnyFJbq5JHzhNL7zvm26e3b58jrb+03fcmMn/8LbcPL+78BtuH6/4+rlaeviX3Ji9F1+inlO+Hm0v33ihJGndiV+NxrTd9l5teNPX3DzNP75Iv3nP5W7Mnlefr01nXhZtn3b9BUl9pMzLC392pRuz2xfO1taPXBNtn/ypd2n7137s9jHxojep7+ac82zhfHf9T7rkVG39x+vcPiZ//O36n/f6Y375V8/V9m/d4sZMfPdJ6n/gF9H2CUe+TtkTj7h9lA48JOk61//wg/E8hx6h/rvvcvuYcPQxytas9PN0zkyLce5XpbbOpPtZ0n2m28nT2ilJuTHZ2pw8HTPcZ0+p8vyZLX063sfe+ylbvcLPM31W2vNRznOwlD/mpPEkHOe858akZ+WE5xZvPFJ1THnPainPUAn1puDjlwAAAABQYGzqAAAAAKDA2NQBAAAAQIGxqQMAAACAAmNTBwAAAAAFxqYOAAAAAAqMTR0AAAAAFBibOgAAAAAoMAshjHYNMWO2MAAAAAAYAZYSxFfqAAAAAKDAGka7AE/o3RBts8ZmhZ5u9/1WblXYsM6PaW5T2Ljej2lqUdjUE2+fVk7L44xHqo4pJ0+2ZqXbR6lzZtq8OHkGcoXe+LxYY4tCT86Yy4ljduq1cqskublqkWcgV14tSX2s7/JjWtpz51bKX//Z2lVunlLHjKR5yZY/E+9j9lx1zf+q20f7ne9VtnqFX8v0WcqWLfFj5uyr/nvuirZPeMMx2n7trW4fE9+xQNlTj/l59j9I2TNPxdvn7q/+B37h9jHhyNep/7Ff+zEHHab+B3/pxxzxWvX/7K54+xuPUf/9P/f7ePXr1Xf7T9yYhhOOU98d8ZiG44/Tts//wO1j0gdP1/arbnZjJp61UH3X3+bXcuaJ6rsufhwb3r5Afbfe6fexYL62f/lHfi3vO9WtpeHMEyVJ/33OFdGYP/nmeUlj3nrpt92YyZ94p/puuiNey8nHq++GnHk740T1fS8n5i0navvlN8VrPf9kSXLnt2HBfPc8lCrnYspx3vrP3422T/77tyadz1v/9ho3ZvIn36W+H9zu13L6Ceq7zRnzifO17b9+6PYx6QOn6XcXfsONecXXz9W64+PXy7Y73qutH7vO7WPyx96uFz50tRuz2+feo60fvdbv51/e4a7diWctVN+Pcubt1BPUf+/dbsyEo452127DGSdq+7dvcfuY+M6T1Pf9nFrefIL67/SvcxPmH5d7zqcc55TrdrbkyWh7ad8DJMl9trSmlrT75oqlfsysvZV1r4m3t3a69zupcs/Llj/rx8zeJ/c5TJL7/JP37CNVny0TnqGyrtXxWtun1yzPUPcZ1tyWlifhmTwFX6kDAAAAgAJjUwcAAAAABcamDgAAAAAKjE0dAAAAABQYmzoAAAAAKDA2dQAAAABQYGzqAAAAAKDA2NQBAAAAQIFZCGG0a4gZs4UBAAAAwAiwlKCG4a5iKLJVy6NtpRmza/Zb2kPvBj+msVmhx/mN8eW2tDwbc37DfVOL+9vr835zvVT97fVOHzv6Sak3r5aU8aTMrXMcraVdkhR647msscVtH4jJute4MaXWzjGTR8ofc9a1ys/TPiNtLThryprb9MJfXOX2sdt/nKVs+bN+LbP3Uf8Dv3BjJhz5OmVPPBLv48BDlK1c5ueZOUf9v/6Vn+ewV6n/F3fH2193tLZ/+xa3j4nvPEnb/uuHbsykD5ymvjt+4sY0HH+c+n5we7z99BPU9+M7/D7edLz6vnebH/OWE7X1w1dH2yd/9j3afu2tbh8T37FA2/7lu27MpI++Vb95z+VuzJ5Xn68X3v/NaPtuXzxHz593hdvH7lecp9VvXOTGTP/ZxVpzdDym8+6LJUkv/NmV8Vq+cLb6br3TzdOwYL76742vJ0macNTR6v/ZXfH2Nx6jvptz8iycr+1X3uzGTDx7ofp/dW88z6uOkqTc9e/1MdCPNx6pMqb+X/4s3v7aN2rrpd92+5j8iXeq/9HFfp6DD1f/Q/f7MfNerW1f+lG0fdIlp6p/8QN+H4cfmVRL3/Xxc7HhzBPV96P4+S5JDaeeoOzxh92Y0isPTTpG2VOPxfvY/yD1332X38fRxyh79mm/ln32U/bMU/H2ufun9fH0E37MfgcqW7bEj5mzb34ty5/x+5g9V9nanHtrxwxlq1fE26fPkiQ3V2n2XPf4SJVjlK3LeZ5o61ToXhttt9aOpPum94wrVZ9zc/JIUta1Op6nfXpSnqQx5zy3eHUM1JKUJ+WZb8mT8T72PSDtWXlzzjP51LLbviNfUhQAAAAAYExiUwcAAAAABcamDgAAAAAKjE0dAAAAABTYmNrUmdnFZvagmT24aJH/TfAAAAAAgGH66ZdmdlII4Zbq3/eU9FlJr5L0uKQPhRAG/ZGIIYRFkgZ2c8H76ZcAAAAAgOH7St3/v9Pf/01St6RTJf1K0leGKScAAAAA1J2R+D11R4QQDq3+/XNmdu4I5AQAAACAujBcm7qymX1Yld+AvoeZWQghVNvG1PfxAQAAAECR2e/3WjXs1Owfd3npiyGEjWbWIulTIYRzErqpfWEAAAAAUByWFDQcmzo3odn5IYTLE0JD2Lg+3k9Ti8LmHj/X1LLCbzb5MXtOU+jp9mPKrW4um1pW6B30Z7/8PqaxWd54pOqYtmyMt09pUuhZl1Nrm8KmnHmZVlZ4rteP2avRrdeaWtLGnHKMutfG2yIVJlkAACAASURBVFs7JKk281+L45zSxxDnxaaWJUlhfVc8pqU97TgnzH+2bk20vdTW6bYPxGz7xPVuzKRLz1T/XT91YyYcc6yyJx+N5zngYGUrl/m1zJyjbPUKP2b6LGVPPBJvP/AQ9T+62K/14MPV//CDfsyhR7h5duR64BfxPo58nfofut/PM+/V6rvxDjem4ZTj9cIHr4q27/b5s7R90Y1uHxMvPkV9N9/p51k4X9uvutnv56yF6rvhtngfZ5yobZ+5we1j0l+foe2X/djPc8Gb3FomnrVQkrT1Y9dFYyZ/7O363z/9ppvnZV85R33fi49HkhrecqLbz8u+ck7S/G/96LVuzOR/eUfSmPtuiq+XhpOPV//iB9w8Ew4/Uv0P3efHzHuN+h95KN5+yDz1/+wuv483HqP+n+ZcN449Nuna4sVMOOZY9f/yHr+P177BPVelyvmaPf14tL203yuTri15PySuNGN20nVOLzwfD9htd7+9VjEjlaeGtSQ9qznPYlZuk6TcZ5vQm5OnscV9DpCqzwJOP9bYkvbckpInYcxZt/M80dqpsCHnGba5LW3+8+Z2iH3s6Cdl7pwYK7e6cyJV5yV/LSRt6kbjo5AfH4WcAAAAADAuDdevNIj973aT1DwcOQEAAACgHg3XD0pplrRA0pZdXjdJ9w5TTgAAAACoO8O1qbtR0u4hhId3bTCzu4YpJwAAAADUnWHZ1IUQLnTa3j0cOQEAAACgHvE74wAAAACgwNjUAQAAAECBsakDAAAAgAJjUwcAAAAABWYhhNGuIWbMFgYAAAAAI8BSgobrVxrUROjpjrZZuVWhd4P7fmtsVtjc48dMLStsWOfHNLe5/djUslurVK1343o/pqlFYZOTZ1pZYX2X30dLe1otTp4duZx5sea2tPnvzRlzY4s7Jmtpl6T8eenJOYbltpGb/5Q1l5NHkkL32nhMa4eyrlVunlL7DGXda/yY1s6E45x/DPvvvduNmXDU0dp66bfdmMmfeKeypx6L17r/Qdr27993+5j0l2/Wts//wI/54OnKnn06nmef/dT/6GK3jwkHH67+Rx7yYw6Zp2zJk25Mad8DlD3xSLz9wEOUrVru9zFjtvru+Ikb03D8cdr+zZuj7RPPWaj+u+9y+5hw9DFJMduvucWNmfiuk7T9SqeWsxe67TtinPFIlTHljVmSW+/Ed52UNLf9P/2pGzPh2GPVd/Od8T4Wzk+a277rbvVrefsC9f/yZ/E+XvtGSXLX94SDD08aj5dnIJc3dw3HH5e25h6634+Z92r1P/ygH3PoEep/4Bfx9iNfl5bnFznXudcd7V4LJxx1tHu+S9VzfvUKP2b6rLSYNSvj7Z0zk+4P2bqcmLZOt59Sa2fac0DKc1hCP7ljThhP0vOR8zxhTS2S5D4jJT+fpjzP5eTx1r5UWf9Jz0fP9cbb92qUJIUtTsyUxiE/h0nV+c97Jk95Pk2Z2y0b/ZgpTcqWPxttL83eJ62WhDwp+PglAAAAABQYmzoAAAAAKDA2dQAAAABQYGzqAAAAAKDA2NQBAAAAQIGxqQMAAACAAmNTBwAAAAAFxqYOAAAAAAqMTR0AAAAAFJiFEEa7hpgxWxgAAAAAjABLCWoY7iqGIvx2c7TN9piqsLnHfb9NLafF/GaTH7PnNDfG9pym0Lve76OxxR2PVB1T3pg35uRpalHo3ZBTS7PCll4/ZkqjG2NTGtPyPJeTZ69GN8b2apQk9zja1LLCppzjPK1ck1qSjvOWjX7MlKa0MefV0tPt5ym3pq3tvDwp40lZlym15K25lHWbUkvemFPWSkotKccob8wp17CUdenUYuXW2o055brgnK/J52rKunRqscZmSQnXlqTjvM6PKbflj3mE1rak/FqS7jP5ay7rXhNtL7V2ps1bSi0p1/8N8VzW3JZ2DqXkccZk5TZla1e5fZQ6ZqSdQ+u7/JiW9vzrXMozScr8O+eiTWlKW9vda/2Y1o6kMWerlkfbSzNmp11PU+Yl5xySlHv9Sbonpqy5vOfTWt3DU8acdz8b4j1xRz95a65W140hrhfbY2racU7Ik4KPXwIAAABAgbGpAwAAAIACY1MHAAAAAAXGpg4AAAAACoxNHQAAAAAUGJs6AAAAACgwNnUAAAAAUGBs6gAAAACgwNjUAQAAAECBWQhhtGuIGbOFAQAAAMAIsJSghuGuYijCbzdH22yPqW77jpje9X5MY0taP3m19Kzz+yi3KWzu8WOmlvPzpIxnS68fM6Uxbcy/2RRv33OaQu+GnFqaFZ7LqWUvvxbbY6qkhLWQMi/OeKTqmPLypIwnZV5y5lZS/vynHOca1JI0b2OplpQYZ70kr5VaxWx0amlKvD4N8RjV4vik5NmRa1P8WmjTymnns9PHjn42xK/L1twmScq6VkdjSu3TFXq6/TzlVvcYStXjmHecE+4P+u8tboz+ZEratSXvmpuSJ+la6J9nNcuTMP96/jfxgN33VPbEI24fpQMPqc09ZMtGv48pTUl5sjUr3ZhS58zc9Z90bUlZ/3ljTjlXU45hynrJu7YM8XlvR0xOHknu2k1dt0nr37l22NSysq5Vbh+l9hlptaSMOe/emnCdy9bm1NsxI3fMSedqyroc4vlai3viQC0p+PglAAAAABQYmzoAAAAAKDA2dQAAAABQYGzqAAAAAKDA2NQBAAAAQIGxqQMAAACAAmNTBwAAAAAFxqYOAAAAAAqMTR0AAAAAFJiFEEa7hpgxWxgAAAAAjABLCWoY7iqGIvRuiLZZY7PCbza577c9pyk81+vH7NWosGWjHzOlSeG3m+Pte0xNq6V3vR/T2OL2Y3tOU9iY00dTi8KmHj9mWjltXpwY26sxrZYtOXmmNLoxNqVRkhR6uuMx5dakuc1WLHVjSrP2zl9zm3PmdmpZYcM6P6a5zT1GNq0sSe66tClNabV0r/VjWjtqkydh/rd+5Bo3ZvKn3qVs7apoe6ljhrsOpOpaSBmzs3atqUXZ6hVuH6XpsxTWd/l5WtrT1oITk9c+EJN1xedNkkrtM3LnNlv6tN/H3vsp61qdk2d6Wi1rVsbbO2cqW7bE72POvu54pOqYnnw03n7AwZLk1ltqn6FsyZN+nn0PcMcjVcfkrKnS9FnKns2Z/332S7qG5eWR5PZTmrV3Wp5Vy/2YGbOVLX823j57n6RjmLT+U+Y/b8wp8z/E64K1tCv05Iyn3Jb2PJFwncu618Rrbe1073dS9Z6Xcp1z7hE2tZz2TJJyn0mpJe8enjLmlPnPuW9Kyr3PJI056Tkr5x6ect8c4jGyqdXnlrwxpzxvp9Sb93ya8uyZkieln5znuaQxJ6y5FHz8EgAAAAAKjE0dAAAAABQYmzoAAAAAKDA2dQAAAABQYGzqAAAAAKDA2NQBAAAAQIGxqQMAAACAAmNTBwAAAAAFxqYOAAAAAArMQgijXUPMmC0MAAAAAEaApQQ1DHcVQxE2ro+2WVOLwm83u++3PaamxfTG80iSNfq50vNsyMnTnJ8npdYtG/2YKU1DrtcamxV+s8nvY89pCs/1+jF7NbpjssYWSXL7sb0ah5xnIFfY4uSZMnJ5pIQxp+TZ3OPHTC2768WmNNUuT8rcbYr3Y9PK7jVBql4XNqzzY5rbFHriMVZuS+oj61rtxpTapyus7/L7aWnPP8+cWqVqvSnHyKnFWtqVPfOU20dp7v7Kulb5Me0zlK1c5sfMnKNs9Yp4+/RZafPfvcbP09qpbNmSePucfSUpdy14tUqVepNi1qyMt3fOVLZqud/HjNk1mVsp/96aMrehe60bY60dudf2pHMoJU9Ptx9TbnXXVN41odJHYkzec0vKNSzlWSGpn7z5zz+fk8acO7cJxyflGpZSS951LmVtp9xDcsYsaeTmJW/NpaynlBinXiu3SpJ7vlprR9L5PNTrT961RxpYTwnz7zyTSNXnkpzzLKmWhDwp+PglAAAAABQYmzoAAAAAKDA2dQAAAABQYGzqAAAAAKDA2NQBAAAAQIGxqQMAAACAAmNTBwAAAAAFxqYOAAAAAArMQgijXUPMmC0MAAAAAEaApQTxlToAAAAAKLCG0S7AE3rXR9usscVtr33MBqe92W2vVYw1Nits6vH7mFZOzJMw5o3O/De1KPR0+32UW90+dvSTk0dSfi1DzLMjxhmTlVuHPG8ptdR0zEM8Rsl91Og8y7pWR9tL7dPV/+hit48JBx+ubM1KN6bUOTP/OG9Y59fa3JY0L1n3Gr+W1k6F9V3xPlrak/rI1uXEtHW6/ZRaO5UtW+L3MWdfZc8+7cfss5+ytav8mI4Z7jEqdc5M62PlMj9m5pzcPJKUrV4Rj5k+K21uVyz1Y2btrWz5s/H22fsoe+Ypv4+5+6dd23PWk6T8WlLG7MybVJm73LWd0Id3TZAq14WUcz53zS1/xu9j9ty0MeddW5w5kSrzErrX+jGtHWnnSFc8ptQ+I2luk+rNvW8mrNuUZ5shPv9YY7PC5pw+piY+Qzn92NSypIR7eK2e1XKflUfmmVCq0XN7LZ7VavV8OsR1mfxMnpAnBV+pAwAAAIACY1MHAAAAAAXGpg4AAAAACmzENnVmNi0h5mIze9DMHly0aNFIlAUAAAAAhTYsPyjFzD4p6TMhhF4zO0LSdZIyM5so6ZwQwt2DvS+EsEjSoh3/zPmGSgAAAACod8P1lbo3hRB6q3//tKR3hBD2lnSCpH8bppwAAAAAUHeGa1PXYGYDXwV8WQjhV5IUQnhG0uRhygkAAAAAdWe4NnVflHSTmR0n6RYz+w8zO9rMPi7p4WHKCQAAAAB1x0IIw9Ox2TGSLpE0V5Xv3Vsj6fuSLgsh9CV0MTyFAQAAAEAxWFLQcG3qognNzg8hXJ4Q6v6glOTfTJ/ym9yH+Nve836j/I6YIdZbqTWljxrNS96YU/IMcV6ssUWSFDY6MU2peRLGPFJ5Usa82Zn/qWW3Vqk29SavOadW6Q+od6TWf97a7un2+yi3po05pZ+861xKHxvW+THNbQo98Rgrt6Wt25Qxp9SSO+acPsp+Hzv6yTnOUsK1ZYjXjR395NSSda1y+yi1z6jd9XRLbzxmSmPamkupZX1XvL2lPekYZmtWujGlzplp8++sS2tuU9a9xs/T2pm0trO18eNY6pihbF1OnrZO9T/ykBsz4ZB5ypY+7fez937KVi6Lt8+co6xrtd9H+3T3GErV49i9Nt7e2pF2TUg5hgm19D90f7R9wrxXp51nzvkhVc+RnOuGlHCe1er5NO8aVqv7c84ziaT8c36k7psp81az+3zOvTWlj/xrYdKmbjR+T93HRyEnAAAAAIxLw/UrDR6NNUlqHo6cAAAAAFCPhmVTp8rGbYGkLbu8bpLuHaacAAAAAFB3hmtTd6Ok3UMIL/lJl2Z21zDlBAAAAIC6MyybuhDChU7bu4cjJwAAAADUo9H4QSkAAAAAgBphUwcAAAAABcamDgAAAAAKjE0dAAAAABSYhRBGu4aYMVsYAAAAAIwASwkarl9pUBOhd320zRpbFDb1uO+3aWWFnnV+TLlNYXNOP1PLChudWpoSa0mJycvjtO+I6d3gxzQ2K2zZ6MdMaVLo6Y63l1uHPB5poF7/OEtyc9X0ODtzZ43NaePZ0uvHTGnMnVtJbr02tZx2DJ25larn0XPxem2vxrR5S1kLKfXmrf9a1ZK3tod4TZCq9Tp5duTKqyXlGKas/7y1ndBHtnaVG1PqmKHQvdbvp7VD2ZqV8T46ZyrrXuPnae0c8vzvOM+cdZm3JgfyJNWbdw1LOc4pY865bkjKXwsp6z8lZkN8TVlz6jW5RvOSN//ru/w+WtqVrV7hxpSmz1K2Lr4WSm2dylYs9fuYtXfSeeadQ1L1PMo5z5LO1a6cWtpnJKzthGeShPlPukY552KptTMxT8J1O2fMUsI9PKWWWjw3ptwfUs6hnDySavOsXIv7WcKay1Yuc2NKM+cM+dk+73lDqq6nhOejFHz8EgAAAAAKjE0dAAAAABQYmzoAAAAAKDA2dQAAAABQYGzqAAAAAKDA2NQBAAAAQIGxqQMAAACAAmNTBwAAAAAFxqYOAAAAAArMQgijXUPMmC0MAAAAAEaApQQ1DHcVQxF6N0TbrLHZbd8Rs6XXj5nSmNbP5p54+9SywpaNOXmaFHrW+THlNoVNTp5p5bQ+Nq73Y5pa3PFI1TH1xvuxxha3Vqlab8q8OPVaU4skuf3YlKa08fR0+zHlVne92JTGtPWUMv85eSTlr7maHeec8yxl3lLWQkq9OWshKU8tzufnco7zXo21G3PuOZ8w/0NcC8nnR8rcOteNSkyLQvfaeHtrh8KGnOtcc1tajHO9tHKbJLnjtnLrkPMM5Mo/zxL6SDmfc66VkvLXXMp1O6WW3Dwp9+eE9ZR0L8q5tqes/1pcT5PuDwnznzLmvPMspY9arO2U45wytynnYt5zy/ouv4+W9rQ8Kc8tTi5raU+7niasy6x7TbS91NqZtuZqMLeS8tdcyvmcEuPUa82J18qUPEO8LuRdEyp50vYzKfj4JQAAAAAUGJs6AAAAACgwNnUAAAAAUGBs6gAAAACgwNjUAQAAAECBsakDAAAAgAJjUwcAAAAABcamDgAAAAAKjE0dAAAAABSYhRBGu4aYMVsYAAAAAIwASwlqGO4qhiJs6Y222ZRGhU097vttWjkt5rl4HkmyvRoVetfH2xtbFDbn5JladscjVce00cnT1OLWsaOWlDHXopYtG3P6aEqL6emOt5dbJcmd38rcJuRxxiPlj8mmNCn0bvD7aGxOO0Y5a1uq0Zh/u9mP2WNq/tpOGXPK+neOs1Q51rljrlUeZ15sj6lp14SU9ZTSjxNjezUqbFjn99HclnY+98T7sXJb2nhS1nZCvdm6NdH2UltnUi3ZiqVuTGnW3rljlpR7/fFqlar1pqw55zyyxma31kofbWnX9pzzWZJC99p4TGtH7dZC3ppLOT9S1nZKLb/ZFG/fc1ramBOOUbZ6RbS9NH2WsuXPuH2UZs9NW3NDvBZauTVtzaXMy/queHtLe1ofKWs7pd68MdfqHpJzPkvKP+dT7q3O3Er585t8H0p6tkkYc02eoRJiRixPwvWnFs8tCc9zKfj4JQAAAAAUGJs6AAAAACgwNnUAAAAAUGBs6gAAAACgwNjUAQAAAECBsakDAAAAgAJjUwcAAAAABcamDgAAAAAKjE0dAAAAABSYhRBGu4aYMVsYAAAAAIwASwlqGO4qhiJs7om22dSyQu8G9/3W2KywpdePmdLo5knJlZynd70f09iisMkZ87Sy274jZsvGnFqaFH6zyY/Zc5rbj01pSpu3lHnJGbOk/HlJGfPGnPlvanGPkTW2JK6VhOPs1GJNLZIS1n/KWkipJW9tp+RJienp9mPKrbWZ/5Tj3LPOqaOthnObEJN3nJ1apWq9G3JimtsU1nfF21valXWvcfsotXa6fQz0E7rX+jGtHcpWr4jnmT5LWddqv5b26cq6VuXEzHDHVGrtlKTceUmZ/2xdzty1+XOXmqcWx1lS7rz0//IeN8+E175B2fJn3JjS7Lm5ebx1IFXXwrIlfsycfZWtWu7HzJitbMXSePusvZP66H/kITdmwiHzlD31WLyP/Q9StjZn3XbMSFvbKedI3nm2ZqXfR+fMpGtYLY5z0tpOicm7tqecZ0M8F625TZJy7/Mp142UtZBXS1Ie5/yQKueIdw+3cqskufWW2mck3R+S7iHOeVTqSMyTcD9LurbnzH/Ks0/K/TcFH78EAAAAgAJjUwcAAAAABcamDgAAAAAKjE0dAAAAABQYmzoAAAAAKDA2dQAAAABQYGzqAAAAAKDA2NQBAAAAQIGxqQMAAACAArMQwmjXEDNmCwMAAACAEWApQQ3DXcVQhI3ro23W1KLQG2+XJGtsUbZujRtTautU6N2Q00+zG2ONzQob1vl9NLcp9HT7MeVWN8bKrYl5cmLKbUlz5/Vj5ba0WpxjKFWP4/queHtLuyTl1zLEPAO5vDGlH8OE+c8ZjyT3GFljS+3WXM55lnWtdvsotU9XtmalH9M5U9nSp/2YvfdTtvzZePvsfdz2HTGrlvsxM2a79ZY6ZypbuczvY+YcZUue9GP2PSBxzM/E22fPVfbMU34fc/dPmxen3tK+B6j/kYfcPiYcMk/9D93nx8x7jfp/da8f86qj3H4mzHuNsqcfd/so7fdKZU8/kRNzoPofXRzPc/DhkuTOb2nu/uq/9243z4Sjjlb/3Xf5MUcfo/6HH4y3H3rEkMcjVcaUNx5J7rGecMg89S9+wM9z+JHqf+h+P2beq3PnP2XNJa2FZ3POs332U/bEI/H2Aw9JO5+fesyP2f8g9T/262j7hIMOSzuGCedz0rl4/8/j7a9+vTsnUnVeli3xY+bs614vSzPnKFu9wu9j+qy0a+7aVX5Mxwz3ma/U1pn2HJAQk3U7eVo7JSn/PpNyb3XyDOTKfW5MGU/Ks3JOHkkK3WvjMa0diXkSnqHyntWcOgZqSXpuTHmGyqtlU4/fx7Ry0jN5Cj5+CQAAAAAFxqYOAAAAAAqMTR0AAAAAFBibOgAAAAAoMDZ1AAAAAFBgbOoAAAAAoMDY1AEAAABAgbGpAwAAAIACY1MHAAAAAAVmIYTRriFmzBYGAAAAACPAUoIahruKoQg966JtVm5T6F3vvt8aWxQ25sQ0tbh5duTa1BNvn1ZOq6WnOydPq8JmJ8/UssKGnFqb29LGM8S5s6YWhfVdfh8t7TXJI6WshQ05eZrT1oIzv9acOG8px9mZO2tpl6T8+U9ZC91r/ZjWDrdeK7cqW73C7aM0fZa2feYGN2bSX5+hvu/d5sY0vOVEZV2r43napytbucyvZeYcZcuf8WNmz1XfzXfG61g4X9uvvNntY+LZC9V3W7wPSWo4cb62f+sWv593n6S+O34S7+P449R30x1+npOPT6pl2+d/EG2f9MHTk/JsvypnXs5aqL7v3Or387YF6r/7rmj7hKOPUd/t8TmRpIYTjnOPoVQ5jnl5JGn7l38UjZn4vlO1/Rs3uXkmnnty0nHevujGePvFp6TN2y/udmMmvO7o3LUtSds+cX00ZtKlZ6r/rp/6eY45NqmW7Zf9ONo+8YI3qf+nOXmOPVb9Dz/oxxx6hPpuyLm2nHGiO78Nb1ug/ntzxnPU0er/5T1+zGvfoL4b4+dRwynHq/+xX/t9HHSYsqcfd2NK+71SeuF5N0a77e7H5LXXKmak8oylWnbbvfLfMVJL0n1z2RI/Zs6+ufdnSe4zh7V2KOta5edpn6Fs3Ro/pq0z9xkqJU/S81HCc2PWHa+31NpZu+OcgI9fAgAAAECBsakDAAAAgAJjUwcAAAAABcamDgAAAAAKbFg2dWa22Mz+3szm/IHvu9jMHjSzBxctWjQcpQEAAADAuDJcP/1yiqS9JP3UzNZLukbStSEE98f1hRAWSVq04585P8URAAAAAOrdcH38cksI4a9DCNMl/ZWkfSQtNrOfmtnFw5QTAAAAAOrOsH9PXQjhnhDC+yW1S/pXSa8d7pwAAAAAUC8shFD7Ts2+HUJ45xC7qX1hAAAAAFAclhQ0HJs6N6HZ+SGEyxNCg/sb1lN/A/tIxIy3PGOplt12r/x3rNTCmMd/LYy5Pmqpx/OsHsc8lmphzPVRSz2eZ/U45pGtJWlTNxq/0uDjo5ATAAAAAMalYfnpl2b2aKxJUvNw5AQAAACAejRcv9KgWdICSVt2ed0k3TtMOQEAAACg7gzXpu5GSbuHEB7etcHM7hqmnAAAAABQd4ZlUxdCuNBpe/dw5AQAAACAejQaPygFAAAAAFAjbOoAAAAAoMDY1AEAAABAgbGpAwAAAIACsxDCaNcQM2YLAwAAAIARYClBw/UrDWrjhefjbbvt7rePZMx4yzOWatlt98p/x0otjHn818KY66OWejzP6nHMY6mWOh1ztmyJ20Vpzr7afvlNbszE809W33W3ujENb1+gbV/6UbR90iWnuu8Hio6PXwIAAABAgbGpAwAAAIACY1MHAAAAAAXGpg4AAAAACoxNHQAAAAAUGJs6AAAAACgwNnUAAAAAUGBs6gAAAACgwNjUAQAAAECBWQhhtGuIGbOFAQAAAMAIsJSgsfyVOtv1j5n96WCvp7bXKmak8oylWhgztYzXPGOpFsZcH7XU45jHUi2MuT5qYczUMo7ypAkhFOaPpAeH0l6rmJHKM5ZqYczUMl7zjKVaGHN91FKPYx5LtTDm+qiFMVPLeM0T+zOWv1IHAAAAAMjBpg4AAAAACqxom7pFQ2yvVcxI5RlLtTBmahmvecZSLYy5PmqpxzGPpVoYc33UwpipZbzmGdRY/umXAAAAAIAcRftKHQAAAABgJ6O2qTOzk8xsiZktNbO/rb42y8zur752rZlNirz30mrMEjNb4PVZNJF5ubr62uNmdpmZTYy891wze7b659ydXp9nZo9V+/xPM0v/8ahjhHdsq2N63nnvuFwvkbViZvYvZvaMmT1lZn8eeW9drRUzm29mi83sYTP7uZntHXnveF0rl5lZj5k9vtNrU83s9uoauN3MpkTeO57XymDz8mkze9rMHjWzG8xsr8h7B10TqfexsWywedmp7a/MLJhZY+S943K9xObEzD5YXS9PmNmnIu+tq7ViZoea2X3V6+2DZnZk5L3jcq1Ikpl1mtlPzezJ6tr4i+rrdXvddeak7q+5NfPH/MjMof6RNEHSMkmzJU2S9IikAyRdJ+md1ZgvS7pkkPceUI2fLGlWtZ8JsT5HY3zDMC8n6/e/q+KayLxMlbS8+t8p1b9PqbY9IOk11fffLGnhaI+1FvNSbTtC0pWSno+8d1yuF2etnC/pm5JK1bgya0UHSHpG0v7VmPdLuqJe1kp1bG+UdLikx3d67VOS/rb697+V9K/1tFaceTlRUkP17/8amRfvmpR7Hxvrfwabl+rrnZJulbRKPjncIQAAEIZJREFUUmM9rZfIWjlW0h2SJlf/Pdj1tu7WiqTbBo6vKs8vd9XTWqmOoVXS4dW//4kq96AD6vm668xJ3V9za/VntL5Sd6SkpSGE5SGEbZK+Lel0ScdJ+m415huS3jzIe0+X9O0QwtYQwgpJS6v9xfoskkHHEEK4KVSpckJ3DPLeBZJuDyFsDiFskXS7pJPMrFXSHiGE+6rv/6YGn9exbNB5MbMJkj4t6SPOe8freonVf4mkfwohZJIUQugZ5L11t1YkBUl7VGP2lLRukPeO17WiEMLPJG3e5eXTVbnOSvHr7XheK4POSwjhthBCX/Wf92nw623smmRKu4+NaZH1IkmfU+V6G/tm/HG7XiJzcomkT4YQtlZjBrve1uNaSbnejtu1IkkhhO4QwuLq3/9b0lOS2lXH193YnHDNrZ3R2tS1S1qz07/XVl97bqcDO/CazOw0M/unnPfGXi8SdwxW+djl2ZJuqf77CDP7Ws5726t/H7TPgoiN7c8k/TCE0L1zcJ2sl1j9cyS9o/qRl5vNbB+JtSLpIkk3mdlaVc6hT0p1s1Zimnc6d9ZLapbqaq2kuECV/xsuM2szs5uqr8fmZZoi97GiM7PTJXWFEB7Z5fV6Xi9zJb2h+tGvu83sVRJrRdJfSvq0ma2R9BlJl0r1u1bMbKakwyTdL667kl4yJzvjmjsEDaNdQIoQwg8l/XC06xgDvijpZyGEeyQphPCgKg+r9ejlkt4m6ZhdG+p8vUyW9EII4Qgze4ukyyS9oc7XiiR9SNLJIYT7zexvJH1W0kV1vlZ2CCEEMwvVv9f7WpEkmdlHJfVJulqSQgjrVPkoWd0xs5dL+jtVPib1InW+XhpU+YjcayS9StJ1Zja7ntdK1SWSPhRCuN7M3i7p65KOr8e1Yma7S7pe0l+GEH6787fA1et1d9c52el1rrlDNFpfqetS5bP5Azqqr+1lZg27vJb63tjrRRIdg5n9o6QmSR/+A9/bpRd/KXu8zMsySXtLWmpmKyW93MyWJr53PKyXWP1rJX2v+toNkg7+A947XtfKBkmHhBAG/o/gtZKOSnzveFgrMRuqH+dR9b+DfXRsPK+VKDM7T9Ipkt5T/ZjTrmLzsklp97GimaPK95k+Ur3edkhabGYtu8TV23pZK+l71e+OeEBSJmnXHyBTb2tFks7V7+9D31Hlo3O7GvdrpfrpquslXR1CGJiPur7uRuaEa26thGH8hr3YH1X+79ZyVW4SA9/weKAqJ//O3+z4/kHee6Be/MMMlqvyDZSD9jka4xuGeblI0r2SXua8d6qkFap8U+2U6t+nVtt2/cbak0d7rLWYl11iYj8oZVyuF2etfFLSBdWYYyT9irWiQyT1SppbjblQ0vX1slZ2Gt9MvfiHGXxaL/6G/U/V01px5uUkSU9KavoD19mB1bbc+1gR/uw6L7u0rVT8B6WM2/UyyFp5nyrfwyxVPoq5RtXf/1vPa0WV75U6pvr3+ZIeqsO1Yqp8z9u/7/J63V53nTnhmlurOR7Fg3uyKj/5Zpmkj1Zfm11dsEurB2ngJ0qdNnDhrP77o9X3LdFOP/lnsD6L9icyL33Vfz9c/fMP1dePkPS1nd57QXXulko6f6fXj5D0eLWPL2iXm04R/uQdW+20qauX9RJZK3tJ+rGkxyT9UpWvUNX9WpF0RnVOHpF0l6TZdbZWrpHULWm7Kl9duFCV70W4U9KzqvwEv4GHhnpaK4PNy1JVHs4Hrrdfrsa2Sbopb00och8r0p/B5mWX9pWqburqZb1E1sokSVdVx7VY0nGsFV0o6fWSHqpeb++XNK+e1kp1DK9X5QfGPLrTteTker7uOnNS99fcWv2x6oQAAAAAAApo1H75OAAAAABg6NjUAQAAAECBsakDAAAAgAJjUwcAAAAABcamDgAAAAAKjE0dAKCumNnzu/z7PDP7wmjVAwDAULGpAwCgBsysYbRrAADUJzZ1AABUmdlMM/uJmT1qZnea2fTq61eY2Vt3inu++t9jzOweM/uhpCdHqWwAQJ3j/yoCAOrNy8zs4Z3+PVXSD6t//7ykb4QQvmFmF0j6T0lvzunvcEmvDCGsqH2pAADkY1MHAKg3/xtCOHTgH2Z2nqQjqv98raS3VP9+paRPJfT3ABs6AMBo4uOXAADk61P1nmlmJUmTdmr73ahUBABAFZs6AAB+715J76z+/T2S7qn+faWkedW/nyZp4siWBQBAHJs6AAB+74OSzjezRyWdLekvqq9/VdLRZvaIKh/R5KtzAIAxw0IIo10DAAAAAOCPxFfqAAAAAKDA2NQBAAAAQIGxqQMAAACAAmNTBwAAAAAFxqYOAAAAAAqMTR0AAAAAFBibOgAAAAAoMDZ1AAAAAFBgbOoAAAAAoMDY1AEAAABAgbGpAwAAAIACY1MHAAAAAAXGpg4AAAAACoxNHQAAAAAUGJs6AAAAACgwNnUAAAAAUGBs6gAAAACgwNjUAQAAAECBsakDAAAAgAJjUwcAAAAABcamDgAAAAAKjE0dAAAAABQYmzoAAAAAKDA2dQAAAABQYA2jXUDUC8+HHX8PIR63c9uL/v6ioOh7QqzvXV9P6fsl74n190fE7VpmZNwh9T1/RN/xvpz3uONOOHapeZL7jo8tDNu4nVpT35M6P9G+dwrJvPXn9B3pwzsM8RoS83j1ZAlxzvS8aB68Qx+d+0hfXpw7hjD467v2HZv7neO8ery4Ua/nxWEvPka1rGeXPCFSazZ4iCSFnfM4cUqIC7uM4cVtkb5eUk+ktpfUE3lPGLxOt9ahzk/iuFPnZ+e4bNfre6Rt5/dnL8kTBm3b9bkhS6hh1zFkkTn18ry47/z3+2N4UdiL2xLm6qVtkTwvfssul+0w6OsvjRv89WyX3uNxg+dMz/NisbpfGjd4rbE8fj3xuRrq/MTyeG3+GGJxqfV4Yx287cWXlbQx/HHrYujzEx9DfNw3hf8yJeArdQAAAABQYGzqAAAAAKDA2NQBAAAAQIGxqQMAAACAAmNTBwAAAAAFxqYOAAAAAAqMTR0AAAAAFBibOgAAAAAoMDZ1AAAAAFBgbOoAAAAAoMDY1AEAAABAgbGpAwAAAIACY1MHAAAAAAXGpg4AAAAACoxNHQAAAAAUGJs6AAAAACgwCyGMdg2DMrOLQwiLRrsO1AfWG0YKaw0jhbWGkcR6w0hhrQ1uLH+l7uLRLgB1hfWGkcJaw0hhrWEksd4wUlhrgxjLmzoAAAAAQA42dQAAAABQYGN5U8dnZTGSWG8YKaw1jBTWGkYS6w0jhbU2iDH7g1IAAAAAAPnG8lfqAAAAAAA52NQBAAAAQIGNmU2dmU0ws1+b2Y3Vf19tZkvM7HEzu8zMJo52jRg/Bllv881ssZk9bGY/N7O9R7tGjA9mttLMHquurQd3afsrMwtm1jha9WH8MLO9zOy7Zva0mT1lZq81s6lmdruZPVv975TRrhPFN9haq77+weprT5jZp0a7ThSfme1bvX8O/Pmtmf2lmX26utYeNbMbzGyv0a51tI2ZTZ2kv5D01E7/vlrSfpIOkvQySReNRlEYt3Zdb1+S9J4QwqGSviXp70elKoxXx4YQDg0hHDHwgpl1SjpR0urRKwvjzH9IuiWEsJ+kQ1S5xv2tpDtDCPtIurP6b2CoXrLWzOxYSadLOiSEcKCkz4xmgRgfQghLqvfPQyXNk/Q/km6QdLukV4YQDpb0jKRLR7HMMWFMbOrMrEPSmyR9beC1EMJNoUrSA5I6Rqs+jC+DrTdJQdIe1b/vKWndSNeFuvM5SR9RZe0BQ2Jme0p6o6SvS1IIYVsI4TlVHrK/UQ37hqQ3j06FGC+ctXaJpE+GELZWX+8ZvSoxTs2XtCyEsCqEcFsIoa/6+n1inzA2NnWS/l2Vh5ts14bqxy7PlnTLSBeFcWuw9XaRpJvMbK0q6+2To1EYxqUg6TYze8jMLpYkMztdUlcI4ZHRLQ3jyCxJGyVdXv1o+dfM7BWSmkMI3dWY9ZKaR61CjBextTZX0hvM7H4zu9vMXjW6ZWIceqekawZ5/QJJN49wLWPOqG/qzOwUST0hhIciIV+U9LMQwj0jWBbGKWe9fUjSySGEDkmXS/rsiBeH8er1IYTDJS2U9AEze6Okv5P0D6NbFsaZBkmHS/pSCOEwSb/TLh+1rH7yha8MY6hia61B0lRJr5H0N5KuMzMbtSoxrpjZJEmnSfrOLq9/VFKfKt+2VddGfVMn6XWSTjOzlZK+Lek4M7tKkszsHyU1Sfrw6JWHcWaw9fZjVb4H4P5qzLWSjhql+jDOhBC6qv/tUeX7AI5W5f90P1Jdhx2SFptZy6gVifFgraS1O13HvqvKg/cGM2uVpOp/+Ugchiq21tZK+l71O2ceUOXTMPwQKNTKQkmLQwgbBl4ws/MknaLKz0So+/9hNeqbuhDCpSGEjhDCTFW+rPqTEMJZZnaRpAWS3hVCeMnHMoE/xmDrTZXvOdnTzOZWw07Qi3+ICvBHMbNXmNmfDPxdlR+M8qsQQjmEMLO6DtdKOjyEsH4US0XBVdfPGjPbt/rSfElPSvqhpHOrr50r6QejUB7GEWetfV/SsZJUvZ9OktQ7KkViPHqXdvropZmdpMq30pwWQvifUatqDGkY7QIcX5a0StIvq1+9/14I4Z9GtySMRyGEPjN7r6TrzSyTtEWVz2cDQ9Us6YbqNaxB0rdCCHx/MIbLByVdXf2Y0nJJ56vyP2+vM7MLVbmnvn0U68P4Mdha+52ky8zscUnbJJ3LV09QC9X/KXqCpD/d6eUvSJos6fbqPfa+EML7RqG8McM43wAAAACguEb945cAAAAAgD8emzoAAAAAKDA2dQAAAABQYGzqAAAAAKDA2NQBAAAAQIGxqQPw/9q7nxAbozCO49+fZoEGCVuxUlgoJvJ3Y0MpYSEWtjYsZFYWWFvIfhY2isJsSCklTTZTGqOR1ORPs7Jg499Gj8W8U9O4N+Ia7sz3U2/3nnOf89xzlk/nvO8rzSlJPnYgx5okX5KMtPn9QpKzzferSV4lGUnyIsn5aXHXkrxPcuRP5yRJUjsWdZIktTZeVZt+Mba/id0EnEiyFqCqjjP5AnBJkv4aizpJ0pyXZFWSW0mGm2tH078iyf0kY0kGkrxJsrJNjnNJXiYZAta1+auFzeenv7AMSZJasqiTJM0HV4DLVdUHHAYGmv7zwFBVbQAGgdWtBifZDBxlciduP9A3I+RSc1RzArheVe86vwRJklrr+dcTkCRpFuwF1ieZai9N0gvsBg4BVNXdJB/ajN8FDFbVZ4AkM49U9lfVzSbngyTbq+pxx1chSVILFnWSpPlgAbCtqr5O75xW5HVEVX1M8hDYCVjUSZJmhccvJUnzwX3g1FQjydQDUB4Bx5q+fcDyNuMfAQeTLEqyBDjQKihJD7AVGO/QvCVJ+imLOknSXLM4ycS06wxwGtiSZDTJc+BkE3sR2J1kjMljmG9bJayqJ8AN4ClwDxieETJ1T90o8Ay43fFVSZLURqrqX89BkqT/QpLXwBagF7hTVRs7kPNqk+vmn+aSJKkVd+okSfrRN2BZu5eP/6ok14A9wNefxUqS9LvcqZMkSZKkLuZOnSRJkiR1MYs6SZIkSepiFnWSJEmS1MUs6iRJkiSpi1nUSZIkSVIX+w7IAJjGRhyBdAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1080x1440 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "fig.set_size_inches(15, 20)\n",
    "\n",
    "column_order = [ '0:0', '0:15', '0:30', '0:45',\n",
    "       '1:0', '1:15', '1:30', '1:45', '2:0', '2:15', '2:30', '2:45',\n",
    "       '3:0', '3:15', '3:30', '3:45', '4:0', '4:15', '4:30', '4:45',\n",
    "       '5:0', '5:15', '5:30', '5:45', '6:0', '6:15', '6:30', '6:45',\n",
    "       '7:0', '7:15', '7:30', '7:45', '8:0', '8:15', '8:30', '8:45',\n",
    "       '9:0', '9:15', '9:30', '9:45', '10:0', '10:15', '10:30', '10:45',\n",
    "       '11:0', '11:15', '11:30', '11:45', '12:0', '12:15', '12:30',\n",
    "       '12:45', '13:0', '13:15', '13:30', '13:45', '14:0', '14:15',\n",
    "       '14:30', '14:45', '15:0', '15:15', '15:30', '15:45', '16:0', \n",
    "       '16:15', '16:30', '16:45', '17:0', '17:15', '17:30',\n",
    "       '17:45', '18:0', '18:15', '18:30', '18:45', '19:0', '19:15',\n",
    "       '19:30', '19:45', '20:0', '20:15', '20:30', '20:45', '21:0',\n",
    "       '21:15', '21:30', '21:45', '22:0', '22:15', '22:30', '22:45',\n",
    "       '23:0', '23:15', '23:30', '23:45']\n",
    "\n",
    "data1 = pd.pivot_table (data, index = [\"week\" , \"weekday\"] , columns = [\"Quarter\"] , values = \"Leq\")\n",
    "data2 = data1.reindex_axis(column_order, axis=1)\n",
    "\n",
    "hours2 = ['00:00', '', '', '',\n",
    "       '', '', '', '', '02:00', '', '', '',\n",
    "       '', '', '', '', '04:00', '', '', '',\n",
    "       '', '', '', '', '06:00', '', '', '',\n",
    "       '', '', '', '', '08:00', '', '', '',\n",
    "       '', '', '', '', '10:00', '', '', '',\n",
    "       '', '', '', '', '12:00', '', '',\n",
    "       '', '', '', '', '', '14:00', '',\n",
    "       '', '', '', '', '', '', '16:00', \n",
    "       '', '', '', '', '', '',\n",
    "       '', '18:00', '', '', '', '', '',\n",
    "       '', '', '20:00', '', '', '', '',\n",
    "       '', '', '', \"22:00\", '', '', '',\n",
    "       '', '', '', '' ]\n",
    "\n",
    "\n",
    "cbar_kws = {'orientation':\"horizontal\", 'pad':0.05, 'aspect':50, 'label':'Leq[dB]'}\n",
    "ax = sns.heatmap(data2 , cmap='RdPu', linewidths=0.05, vmin = 42 ,  xticklabels=hours2 ,yticklabels = 7 , cbar_kws=cbar_kws)\n",
    "\n",
    "vals = ax.get_yticks()\n",
    "ax.set_yticklabels(['6' , '7' , '8' , '9' , '10' , '11' , '12' , '13' , '14' , '15' , '16' , '17'])\n",
    "\n",
    "plt.xlabel(\"Hour\")\n",
    "plt.ylabel(\"Week\")\n",
    "plt.margins(x=0 , y = 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/ipykernel_launcher.py:20: FutureWarning: '.reindex_axis' is deprecated and will be removed in a future version. Use '.reindex' instead.\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1440 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "fig.set_size_inches(15, 20)\n",
    "\n",
    "column_order = [ '0:0', '0:15', '0:30', '0:45',\n",
    "       '1:0', '1:15', '1:30', '1:45', '2:0', '2:15', '2:30', '2:45',\n",
    "       '3:0', '3:15', '3:30', '3:45', '4:0', '4:15', '4:30', '4:45',\n",
    "       '5:0', '5:15', '5:30', '5:45', '6:0', '6:15', '6:30', '6:45',\n",
    "       '7:0', '7:15', '7:30', '7:45', '8:0', '8:15', '8:30', '8:45',\n",
    "       '9:0', '9:15', '9:30', '9:45', '10:0', '10:15', '10:30', '10:45',\n",
    "       '11:0', '11:15', '11:30', '11:45', '12:0', '12:15', '12:30',\n",
    "       '12:45', '13:0', '13:15', '13:30', '13:45', '14:0', '14:15',\n",
    "       '14:30', '14:45', '15:0', '15:15', '15:30', '15:45', '16:0', \n",
    "       '16:15', '16:30', '16:45', '17:0', '17:15', '17:30',\n",
    "       '17:45', '18:0', '18:15', '18:30', '18:45', '19:0', '19:15',\n",
    "       '19:30', '19:45', '20:0', '20:15', '20:30', '20:45', '21:0',\n",
    "       '21:15', '21:30', '21:45', '22:0', '22:15', '22:30', '22:45',\n",
    "       '23:0', '23:15', '23:30', '23:45']\n",
    "noisy = data[[\"week\" , \"weekday\", \"Quarter\" , \"is_class\"]]\n",
    "data3 = pd.pivot_table (noisy, index = [\"week\" , \"weekday\"] , columns = [\"Quarter\"] , values = \"is_class\")\n",
    "data4 = data3.reindex_axis(column_order, axis=1)\n",
    "\n",
    "hours2 = ['00:00', '', '', '',\n",
    "       '', '', '', '', '02:00', '', '', '',\n",
    "       '', '', '', '', '04:00', '', '', '',\n",
    "       '', '', '', '', '06:00', '', '', '',\n",
    "       '', '', '', '', '08:00', '', '', '',\n",
    "       '', '', '', '', '10:00', '', '', '',\n",
    "       '', '', '', '', '12:00', '', '',\n",
    "       '', '', '', '', '', '14:00', '',\n",
    "       '', '', '', '', '', '', '16:00', \n",
    "       '', '', '', '', '', '',\n",
    "       '', '18:00', '', '', '', '', '',\n",
    "       '', '', '20:00', '', '', '', '',\n",
    "       '', '', '', \"22:00\", '', '', '',\n",
    "       '', '', '', '' ]\n",
    "\n",
    "\n",
    "cbar_kws = {'orientation':\"horizontal\", 'pad':0.05, 'aspect':50, 'label':'is_class'}\n",
    "ax = sns.heatmap(data4 , cmap='RdPu', linewidths=0.05, vmin = 0 ,  xticklabels=hours2 ,yticklabels = 7 , cbar_kws=None)\n",
    "\n",
    "vals = ax.get_yticks()\n",
    "ax.set_yticklabels(['6' , '7' , '8' , '9' , '10' , '11' , '12' , '13' , '14' , '15' , '16' , '17'])\n",
    "\n",
    "plt.xlabel(\"Hour\")\n",
    "plt.ylabel(\"Week\")\n",
    "plt.margins(x=0 , y = 0)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}