taf.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [],
   "source": [
    "# A SQL query was:\n",
    "# SELECT\n",
    "#   QUANTILES(TAF_events, 101) AS quantiles, # indexing starts from 1 not 0\n",
    "# FROM \n",
    "# (\n",
    "#    SELECT\n",
    "#       UUID,\n",
    "#       COUNT(*) AS TAF_events\n",
    "#    FROM\n",
    "#      [reporting-160216:data_marts.tracking] \n",
    "#   WHERE \n",
    "#       _PARTITIONTIME > Timestamp(\"2017-01-01\")\n",
    "#   GROUP BY\n",
    "#       UUID\n",
    "# )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "values = [1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 6, 6, 6, 6, 6, 8, 8, 8, 8, 9, 10, 12, 12, 14, 16, 18, 20, 24, 29, 36, 47, 64, 104, 145365]\n"
     ]
    },
    {
     "data": {
      "image/png": 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c71HAJuAp5Xn+1/J1ePpY54ZZfC+PvmbqXqeDRh+bCT5/JvhsO2hU3BO9N06hKMrsVr5mPwA+Puq5/7c8R0tmEg/Ftfnkus+bx47znF6KTqTbgOvKGJfWnY+BUdu/C/hB+fs3KTr39qO45ncHvgs8tYFr8GHl6/iM8ly9m+K/SYvGe91GPf835XXURXFd3cv2n2mvK89xF/BvwEWTvBfHvcZ8+PDho+oPO5UkSdPxJoovM5dlMcTiYxQdE2N1Kx0DfDEzL8nMAYqiwFT9c2ZuzGLIxMXATzPz2szso+jKeUy53Srgs5l5fmYOZ+ZpFEWoI8rHQuDfMnNrZp4J/M94B8zMb2bmrVl0lZxO8S/pj6vb5IbMPDWL4VKnASsohnhMZitwUETskcW/3v92nO3upBgidSBwOMUXnK+V65aVP/vqtu8rt5nIrzLzrDLmrwCHjrPd0cAlmXlmZm6l+FK1fpJ93yczf5SZ12ThXOCnFB0fI7YCHypfh7MoCgbTmc/qr4Gzypy2ZebZwAVl/I36Xmb+OjO3lXG9AnhvZt6bmdcD/x/3d1YAXJeZXyzP4enA/mUug5n5U4ov2I104X0G+APwX3XLnkpR3HkERWHjh1F2f03gU+V1ejdFkeGwBo5NRMxn8lzHcxzw5czMumXvoSj07gusBn4wUedR6TuZ+bvyM+RrE8T+UuCHmfmLzBwEPsADh96Nq4nv5dEm+vxp1JjvjYiIcv9/l5l3Z+a9FJ+7r6h77jbgg+W1uHmG8WwFHhURD8qiG/L342x3OcXrtgJ4GsVn1Uj35TJg46jt6z+n3kVRxPs+ReH6SIriznUR8b2yk+hl4xz35cCPMvPs8jPqZIpC2hMnSywiDqD4bP1Aea5+QfHeuU9mfqF8XwxS/Dfr0IjYebx9NnCNSVJlWVSSJE3HgcAny2EHG4C7KbpS9h1j232A+rkxpjNPxm11v28e4++RIsuBwDtH4ipj27+MYR/gllFfhG8Y74AR8Zq6YSMbgEez/RCJ+4osZbGMujgm8nqKf2W/PCL+JyKeO9ZGZcHpgswcyszbgLcAz4yInSi+aELRvUXd7/eO3s8o9YWhAWDxOEWL7V6z8pw1/LpFxLMj4rcRcXd57o5m+3N3V24/38sAjZ270Q4EXjbq9X4SxRfcRtXntQdF4bH+uriB7a/r0dce5etTv2zCXCLiXyiup2Pqr8eyaFLLzA3A2ymGBz1ykvhHv6aNnsdGch0r9gMoulO+XL+8LFzcW35JP42iW2my4l6jsY++Hvspupwa0sT38mgTff40arz3xp4UnZ4X1u37J+XyEXdk5pZZiuclFK/fDWVxZ8xhmpm5PjMvLYsp11F0DL2kXL2J7T+joO5zKjNvyMyjM/OxFB1zH6YoNJ1MUbB9PvCvEbHbGIfeh7prtywK38Qk12/dc+8pr6MR9+0rIuZHxCfK4WwbKbq7YNQQuXoNXGOSVFkWlSRJ03ETcEJm7lL3WJLbTzg8Yh3F8IYRM7mjTyNxfXRUXN2Z+Y0yjn3Lf/EfccBYOyk7rk6lKOTsnpm7UHRIxVjbT0VmXpWZrwT2ohiqcmY598ikTy1/zsvMeyjyqe80OhS4ZNS207WOutepPGf1r1s/xRfcEXvXbdsFfIvii+Hy8tydRePnbiqx3wR8ZdTrvTQzPzGFfdQf706KDo36jrsDKIYgzoqI+Cfg2cAzM3N0F8dYsUXd7zMx+vnTzfVY4Nc5+V3CZjP20ddjN8VQqRETXY8zfS9P9Xoc7/Nnpu6kKFgeUrfvnTOzvvg1OtZpx5OZ/5OZL6D4nPoucEaDcSb3f7+4ElgQEQfXra//nKr3j8CpZYH2z4ELsuhEvZmxO/9upe7arfuMauS9uo5iPq/6z936/xa8imKI99Mphlg/eOQw5c/tznMz/3shSTsCi0qSpOn4DPDeuslLd55gmMIZwGsj4pHll8EPNDGuU4E3RcTjo7A0Ip5Tdvf8hmLOkbdFccvqFzP+8ISlFF8c7oBi4mmKf3mesYj464jYs/yX9ZFJix8wlKfM4eERMS8idgc+Bawtv2hB0Sny/ojYNSIeQTEnzJfKdbcBu080XGMSPwIOiYgXl51Mb6PuizpwEfCUiDigPMZ769YtopiH5A5gKIpJj585hWPfRjGMqhFfBZ4XEc8quwsWRzFh8Xh3oppQOfzpDOCjEbFT+WXx78vjzFhEvJfiC+vTM/OuUesOiYjDyjyWUQxFu4ViniSY2nkZy23AflFOaj+DXF/D/dfZSOy7lK/B4ohYEBGvppinZuROhNsdexrOBJ4bEU8q9/Ehtv9/2IuAo6O4ff3ewDvq1s30vTyV8z7R58+M9l1+XpwKnBIRewFExL4R8axZjIdyv4si4tURsXM5tGwj4ww3jIiVEXFguf/9gU9QdB2NdJR9G/hQeewjKYo1Xxm1j0dRdL/9v3LRdcDTImI5xR0ubxzj0GcAz4mIoyJiIfBOiqF9Y/3DxnYy8waKYbL/VOb6JIq5nUbsVO7rLopi5cdG7WL069a0/15I0o7AopIkacoy8zsUXTZryuEBF1N0XwAQxR15Xl1u+2OKgsh/U0ykOjKH0GC57fsi4sezFNcFFMWVTwP3lMc7vlxXA15c/n03xZwc3x5nP5dSfKn/DcUXiD+nGM4zG/4KuCQiNgGfBF5Rzn8y2kMpvpTfS3F+B4FX1q3/IHANxbCNc4F/ycyflPFfDnwDuLYcjjGV4Tdk5p0UE89+guKL1cHU5Z/F3EWnU9wK/ELgh3Xr7qUoQp1B8Rq8imLOlEZ9nmIulw0R8d1J4ryJ4kvq+yi+0N0E/AMz+/+bt1J0vlwL/Ar4OvCFGeyv3scoOiKujvvvzPe+ct1yinO6sTz2g4Hnll/qYQrnZRw/p+gQWR8Rd5bLppRrFEOg9qOYYLneQopJy0cm6n4r8MLMvHKCYzcsi7nU3lzGt47iurq5bpOvUMxPdT3F/F2n1z13pu/lTwIvjeLOcJ+aJM5xP3/GcRJwWvmaHtNALO8p9/nb8nP3Z0wwF9k04ql3LHB9eZw3UdzxbCyPoSjk9Jc//0Tx/h/xtxRzHd1O8Zn0N+XrWe8/gLeXhU4oitRvo7hmPpaZD5jPLTOvoJhT7d8prrnnAc8rP+cb8SqKCczvpvgsrR/O+WWKz9VbKG4EMXreu+3ei03+74Uktb2RO1tIkjQnorjt88UUdyAammx7tYeIWEtxd6TPtToWKSKup7i7189aHYskSZ3MTiVJUtNFxIsioisidqXocPqBBSVJkiRpx9a0olJEfCEibo+Ii+uW7RYRZ0fEVeXPXcvlERGfioirI+KPEfHYZsUlSWqJEyiGP1wDDFPcRlqSJEnSDqxpw98i4ikUtxL9cmY+ulz2z8DdmfmJiDgR2DUz3xMRR1OMvz+aYnzzJzPz8U0JTJIkSZIkSTPWtE6lzPwFxeR39V4AnFb+fhrwwrrlX87Cb4FdImJFs2KTJEmSJEnSzMz1nErLM3Nd+ft6ijudAOxLcceWETeXyyRJkiRJktSGFrTqwJmZETHlsXcRsQpYBbBkyZLD999//1mPrRW2bdvGvHnVmDe9KrlUJQ8wl3ZUlTzAXNpVVXKpSh5gLu2qKrlUJQ8wl3ZUlTzAXNpVu+Zy15akf2tywE6NxdaueUzHlVdeeWdm7jnZdnNdVLotIlZk5rpyeNvt5fJbgPrq0H7lsgfIzNXAaoCenp684IILmhnvnFm7di29vb2tDmNWVCWXquQB5tKOqpIHmEu7qkouVckDzKVdVSWXquQB5tKOqpIHmEu7atdc3nnGH/jttXfx6xOf1tD27ZrHdETEDY1sN9cltO8Dx5W/Hwd8r275a8q7wB0B9NUNk5MkSZIkSZpTA7UhuhfNb3UYba1pnUoR8Q2gF9gjIm4GPgh8AjgjIl4P3AAcU25+FsWd364GBoDXNisuSZIkSZKkyfTXhunuatmsQTuEpp2dzHzlOKuOGmPbBN7crFgkSZIkSZKmYmBwiKV2Kk2oGjNISZIkSZIkzaL+2jDdi+xUmohFJUmSJEmSpFEGakMs7bJTaSIWlSRJkiRJkkbpH7RTaTIWlSRJkiRJkkYZqDmn0mQsKkmSJEmSJNXZti0Z8O5vk7KoJEmSJEmSVGfz1mEAO5UmYVFJkiRJkiSpTn9tCMBOpUlYVJIkSZIkSaozMGinUiMsKkmSJEmSJNW5r1PJu79NyKKSJEmSJElSnYFa2anUZafSRCwqSZIkSZIk1ekftFOpERaVJEmSJEmS6tip1BiLSpIkSZIkSXVGOpWW2qk0IYtKkiRJkiRJdTZvLTqVlnj3twlZVJIkSZIkSarTP1gOf7NTaUIWlSRJkiRJkuoM1IaIgMULLZtMxLMjSZIkSZJUp39wmKWLFhARrQ6lrVlUkiRJkiRJqjNQG6Lb+ZQm1ZKiUkS8PSIujohLIuId5bKTIuKWiLiofBzditgkSZIkSVJn668Ns7TL+ZQmM+dnKCIeDbwReBxQA34SET8sV5+SmSfPdUySJEmSJEkjBgbtVGpEK8pujwTOz8wBgIg4F3hxC+KQJEmSJEl6gP7akHd+a0Arhr9dDDw5InaPiG7gaGD/ct1bIuKPEfGFiNi1BbFJkiRJkqQON1AbprvLTqXJRGbO/UEjXg/8LdAPXAIMAh8H7gQS+DCwIjNfN8ZzVwGrAJYvX374mjVr5irsptq0aRPLli1rdRizoiq5VCUPMJd2VJU8wFzaVVVyqUoeYC7tqiq5VCUPMJd2VJU8wFzaVTvm8t5fDrDfTvN482GLG35OO+YxXStXrrwwM3sm264lRaXtAoj4GHBzZv5n3bIHAz/MzEdP9Nyenp684IILmhvgHFm7di29vb2tDmNWVCWXquQB5tKOqpIHmEu7qkouVckDzKVdVSWXquQB5tKOqpIHmEu7asdcnvDxc3jSQXvwLy87tOHntGMe0xURDRWVWnX3t73KnwdQzKf09YhYUbfJiyiGyUmSJEmSJM2p/sEh7/7WgFadoW9FxO7AVuDNmbkhIv49Ig6jGP52PXBCi2KTJEmSJEkdKjOLOZW8+9ukWlJUyswnj7Hs2FbEIkmSJEmSNKI2vI2hbWmnUgNaMvxNkiRJkiSpHQ0MDgPYqdQAi0qSJEmSJEml/toQAEsX2ak0GYtKkiRJkiRJpYFa2anUZafSZCwqSZIkSZIklfoH7VRqlEUlSZIkSZKk0uaacyo1yqKSJEmSJElSqf++opKdSpOxqCRJkiRJklQaKCfqdk6lyVlUkiRJkiRJKvUPFp1Kzqk0OYtKkiRJkiRJJTuVGmdRSZIkSZIkqTTSqdS90KLSZCwqSZIkSZIklQZqQ3QtmMeC+ZZMJuMZkiRJkiRJKvXXhlja5XxKjbCoJEmSJEmSVBoYHKZ7kUPfGmFRSZIkSZIkqdRfG/LObw2yqCRJkiRJklQaqA1757cGWVSSJEmSJEkq9Q/aqdQoi0qSJEmSJEmlgZpzKjXKopIkSZIkSVLJu781zqKSJEmSJElSybu/Na4lRaWIeHtEXBwRl0TEO8plu0XE2RFxVflz11bEJkmSJEmSOpedSo2b86JSRDwaeCPwOOBQ4LkRcRBwInBOZh4MnFP+LUmSJEmSNCeGtyVbtm6zU6lBrehUeiRwfmYOZOYQcC7wYuAFwGnlNqcBL2xBbJIkSZIkqUMN1IYAvPtbg1pRVLoYeHJE7B4R3cDRwP7A8sxcV26zHljegtgkSZIkSVKH2lwbBqC7y06lRkRmzv1BI14P/C3QD1wCDALHZ+Yuddvck5kPmFcpIlYBqwCWL19++Jo1a+Ym6CbbtGkTy5Yta3UYs6IquVQlDzCXdlSVPMBc2lVVcqlKHmAu7aoquVQlDzCXdlSVPMBc2lU75bK+fxsn/nIzq/6iiyfuM7VupXbKY6ZWrlx5YWb2TLZdS/q5MvPzwOcBIuJjwM3AbRGxIjPXRcQK4PZxnrsaWA3Q09OTvb29cxN0k61duxZzaS9VyQPMpR1VJQ8wl3ZVlVyqkgeYS7uqSi5VyQPMpR1VJQ8wl3bVTrlcfEsf/PJXHH7oo+k9ZO8pPbed8pgrrbr7217lzwMo5lP6OvB94Lhyk+OA77UiNkmSJEmS1JkGyuFXlolIAAAgAElEQVRvzqnUmFadpW9FxO7AVuDNmbkhIj4BnFEOjbsBOKZFsUmSJEmSpA7UX07U7ZxKjWnV8Lcnj7HsLuCoFoQjSZIkSZLEwKCdSlPRkuFvkiRJkiRJ7ea+TqVFdio1wqKSJEmSJEkSMDBYFJWWdtmp1AiLSpIkSZIkSUB/OVG3nUqNsagkSZIkSZIEDNSGmD8v6FpguaQRniVJkiRJkiSgf3CY7kXziYhWh7JDsKgkSZIkSZJE0anknd8aZ1FJkiRJkiSJYk6l7i7nU2qURSVJkiRJkiSKu7/ZqdQ4i0qSJEmSJEmUnUre+a1hFpUkSZIkSZIo51TqslOpURaVJEmSJEmSgIFBO5WmwqKSJEmSJEkS0O/d36bEopIkSZIkSRIw4N3fpsSikiRJkiRJ6niZyUBt2E6lKbCoJEmSJEmSOt7g0DaGt6WdSlNgUUmSJEmSJHW8gdowAN0LLSo1yqKSJEmSJEnqeP2DQwB0dzn8rVEWlSRJkiRJUscb6VRyTqXGtaSoFBF/FxGXRMTFEfGNiFgcEV+KiOsi4qLycVgrYpMkSZIkSZ2nvzbSqeTwt0bNefktIvYF3gY8KjM3R8QZwCvK1f+QmWfOdUySJEmSJKmzDQzaqTRVrRr+tgBYEhELgG7g1hbFIUmSJEmSdH+n0iI7lRo150WlzLwFOBm4EVgH9GXmT8vVH42IP0bEKRHRNdexSZIkSZKkzjRQFpWWOlF3wyIz5/aAEbsC3wJeDmwAvgmcCZwDrAcWAauBazLzQ2M8fxWwCmD58uWHr1mzZo4ib65NmzaxbNmyVocxK6qSS1XyAHNpR1XJA8ylXVUll6rkAebSrqqSS1XyAHNpR1XJA8ylXbVLLj+/cStfvrTGv/UuYZfFU+/BaZc8ZsPKlSsvzMyeybZrRfnt6cB1mXkHQER8G3hiZn61XD8YEV8E3jXWkzNzNUXRiZ6enuzt7W1+xHNg7dq1mEt7qUoeYC7tqCp5gLm0q6rkUpU8wFzaVVVyqUoeYC7tqCp5gLm0q3bJ5cpfXAOXXs7TVz6FZdPoVmqXPOZSK+ZUuhE4IiK6IyKAo4DLImIFQLnshcDFLYhNkiRJkiR1oP5you4lC51TqVFz3qmUmedHxJnA74Eh4H8pOo9+HBF7AgFcBLxprmOTJEmSJEmdaaA2xJKF85k/L1odyg6jJbNPZeYHgQ+OWvy0VsQiSZIkSZLUXxtmaZddSlPRiuFvkiRJkiRJbWVgcIjuRd75bSosKkmSJEmSpI7XXxume5GdSlNhUUmSJEmSJHW8zbVhlk7jrm+dzKKSJEmSJEnqeP21ITuVpsiikiRJkiRJ6ngDg8MsdU6lKbGoJEmSJEmSOl5/bYhu7/42JRaVJEmSJElSxxtwou4ps6gkSZIkSZI6Xv/gkMPfpsiikiRJkiRJ6mhDw9sYHNpGt0WlKbGoJEmSJEmSOtrA1mEAljqn0pRYVJIkSZIkSR1tYLAoKtmpNDUWlSRJkiRJUkfrrw0BdipNlUUlSZIkSZLU0exUmh6LSpIkSZIkqaPd16m0yE6lqbCoJEmSJEmSOtpAWVTq7rJTaSosKkmSJEmSpI7WXw5/s1NpaiwqSZIkSZKkjman0vRYVJIkSZIkSR3NTqXpaUlRKSL+LiIuiYiLI+IbEbE4Ih4SEedHxNURcXpELGpFbJIkSZIkqbPc16nk3d+mZM6LShGxL/A2oCczHw3MB14B/F/glMw8CLgHeP1cxyZJkiRJkjpPf22YhfODRQsc0DUVrTpbC4AlEbEA6AbWAU8DzizXnwa8sEWxSZIkSZKkDrK5NmyX0jTMeVEpM28BTgZupCgm9QEXAhsyc6jc7GZg37mOTZIkSZIkdZ7+wSHnU5qGyMy5PWDErsC3gJcDG4BvUnQonVQOfSMi9gd+XA6PG/38VcAqgOXLlx++Zs2auQq9qTZt2sSyZctaHcasqEouVckDzKUdVSUPMJd2VZVcqpIHmEu7qkouVckDzKUdVSUPMJd21Q65/MdFW7jl3m187Mnd095HO+QxW1auXHlhZvZMtl0rerueDlyXmXcARMS3gSOBXSJiQdmttB9wy1hPzszVwGqAnp6e7O3tnZOgm23t2rWYS3upSh5gLu2oKnmAubSrquRSlTzAXNpVVXKpSh5gLu2oKnmAubSrdsjlS9f9jj0X1OjtfdK099EOecy1VsypdCNwRER0R0QARwGXAv8NvLTc5jjgey2ITZIkSZIkdZiBQedUmo5WzKl0PsVwt98DfypjWA28B/j7iLga2B34/FzHJkmSJEmSOk9/bYhu51SaspaU4TLzg8AHRy2+FnhcC8KRJEmSJEkdbKA2THeXnUpT1Yrhb5IkSZIkSW3Du79Nj0UlSZIkSZLU0QZqzqk0HRaVJEmSJElSx8pM+mtDLO2yU2mqLCpJkiRJkqSOtWXrNjKxU2kaLCpJkiRJkqSO1V8bArBTaRosKkmSJEmSpI41MDgM2Kk0HRaVJEmSJElSx7qvU8m7v02ZRSVJkiRJktSxBsqiUneXnUpTZVFJkiRJkiR1rP5y+JudSlNnUUmSJEmSJHWs+zqVnFNpyiwqSZIkSZKkjnVfp5J3f5syi0qSJEmSJKljDWz17m/TZVFJkiRJkiR1rIHB8u5vdipNmUUlSZIkSZLUsfprw0TA4gUWlabKopIkSZIkSepYA4NDdC+cz7x50epQdjgWlSRJkiRJUsfqrw3T3eV8StNhUUmSJEmSJHWsgdoQSxc59G06LCpJkiRJkqSO1T84zBLv/DYtc37WIuLhwOl1ix4K/COwC/BG4I5y+fsy86w5Dk+SJEmSJHUQO5Wmb86LSpl5BXAYQETMB24BvgO8FjglM0+e65gkSZIkSVJn6q8Ns/OSha0OY4fU6uFvRwHXZOYNLY5DkiRJkiR1oIFBO5Wmq9VFpVcA36j7+y0R8ceI+EJE7NqqoCRJkiRJUmcYqA3T7ZxK0xKZ2ZoDRywCbgUOyczbImI5cCeQwIeBFZn5ujGetwpYBbB8+fLD16xZM4dRN8+mTZtYtmxZq8OYFVXJpSp5gLm0o6rkAebSrqqSS1XyAHNpV1XJpSp5gLm0o6rkAebSrlqdy5vP6eeIFQs49lFdM9pPq/OYTStXrrwwM3sm266VpbhnA7/PzNsARn4CRMSpwA/HelJmrgZWA/T09GRvb2/zI50Da9euxVzaS1XyAHNpR1XJA8ylXVUll6rkAebSrqqSS1XyAHNpR1XJA8ylXbU6l61n/5iDH3Igvb2PmNF+Wp1HK7Ry+NsrqRv6FhEr6ta9CLh4ziOSJEmSJEkdoza0jdrwNudUmqaWdCpFxFLgGcAJdYv/OSIOoxj+dv2odZIkSZIkSbNqc20YgO4u51SajpactczsB3YftezYVsQiSZIkSZI6U39tCMBOpWlq9d3fJEmSJEmSWmKgLCrZqTQ9FpUkSZIkSVJH6h8shr/ZqTQ9FpUkSZIkSVJHGhiZU2mRnUrTYVFJkiRJkiR1pJHhb0u77FSaDotKkiRJkiSpI/XbqTQjFpUkSZIkSVJHGhi0U2kmLCpJkiRJkqSOZKfSzFhUkiRJkiRJHWmkU6nbu79Ni0UlSZIkSZLUkfprwyxaMI+F8y2PTIdnTZIkSZIkdaSB2pBdSjNgUUmSJEmSJHWk/sFhljqf0rRZVJIkSZIkSR3JTqWZsagkSZIkSZI6Un9tmO4uO5Wmy6KSJEmSJEnqSAODQyy1U2naLCpJkiRJkqSO1F8bpts5labNopIkSZIkSepIA7UhlnbZqTRdFpUkSZIkSVJH6h+0U2kmLCpJkiRJkqSONFBzTqWZmPOiUkQ8PCIuqntsjIh3RMRuEXF2RFxV/tx1rmOTJEmSJEmdYdu2ZMC7v83InBeVMvOKzDwsMw8DDgcGgO8AJwLnZObBwDnl35IkSZIkSbNuy9AwgJ1KM9Dq4W9HAddk5g3AC4DTyuWnAS9sWVSSJEmSJKnS+geLopKdStPX6qLSK4BvlL8vz8x15e/rgeWtCUmSJEmSJFXdQG0IsFNpJiIzW3PgiEXArcAhmXlbRGzIzF3q1t+TmQ+YVykiVgGrAJYvX374mjVr5izmZtq0aRPLli1rdRizoiq5VCUPMJd2VJU8wFzaVVVyqUoeYC7tqiq5VCUPMJd2VJU8wFzaVatyuXHjMP943hbe+pguDl8+826lKr0mK1euvDAzeybbrpU9Xs8Gfp+Zt5V/3xYRKzJzXUSsAG4f60mZuRpYDdDT05O9vb1zEmyzrV27FnNpL1XJA8ylHVUlDzCXdlWVXKqSB5hLu6pKLlXJA8ylHVUlDzCXdtWqXC64/m447zc87rGH8uSD95zx/qr0mjSqlcPfXsn9Q98Avg8cV/5+HPC9OY9IkiRJkiR1hP5aOafSIudUmq6WFJUiYinwDODbdYs/ATwjIq4Cnl7+LUmSJEmSNOsGBss5lbqcU2m6WlKOy8x+YPdRy+6iuBucJEmSJElSU410Ki21U2naWn33N0mSJEmSpDk3cve3Jd79bdosKkmSJEmSpI7TP2in0kxZVJIkSZIkSR1noDZEBCxeaGlkujxzkiRJkiSp4/QPDrN00QIiotWh7LAsKkmSJEmSpI4zUBui2/mUZsSikiRJkiRJ6jj9tWGWdjmf0kxYVJIkSZIkSR1nYNBOpZmyqCRJkiRJkjpOf23IO7/NkEUlSZIkSZLUcQZqw3R32ak0ExaVJEmSJElSx+kftFNppiwqSZIkSZKkjrO5NuycSjNkUUmSJEmSJHUc7/42cxaVJEmSJElSxxmoefe3mbKoJEmSJEmSOkptaBtbh9NOpRmyqCRJkiRJkjrKQG0IwE6lGbKoJEmSJEmSOkp/bRjAu7/NkEUlSZIkSZLUUQYGy06lLjuVZsKikiRJkiRJ6ih2Ks2OlhSVImKXiDgzIi6PiMsi4gkRcVJE3BIRF5WPo1sRmyRJkiRJqrb7OpWcU2lGWlWS+yTwk8x8aUQsArqBZwGnZObJLYpJkiRJkiR1gJFOpW47lWZkzs9eROwMPAU4HiAza0AtIuY6FEmSJEmS1IHuu/ubcyrNSCuGvz0EuAP4YkT8b0R8LiKWluveEhF/jIgvRMSuLYhNkiRJkiRVXP+gcyrNhsjMuT1gRA/wW+DIzDw/Ij4JbAQ+DdwJJPBhYEVmvm6M568CVgEsX7788DVr1sxZ7M20adMmli1b1uowZkVVcqlKHmAu7agqeYC5tKuq5FKVPMBc2lVVcqlKHmAu7agqeYC5tKtW5PKT67ay5ooa/3lUN90LZ2fkVJVek5UrV16YmT2TbdeKktzNwM2ZeX7595nAiZl528gGEXEq8MOxnpyZq4HVAD09Pdnb29vcaOfI2rVrMZf2UpU8wFzaUVXyAHNpV1XJpSp5gLm0q6rkUpU8wFzaUVXyAHNpV63I5Q9DV8EVV/LMpz2VBfNnZxBXlV6TRs358LfMXA/cFBEPLxcdBVwaESvqNnsRcPFcxyZJkiRJkqpvoDZE14J5s1ZQ6lStGjz4VuBr5Z3frgVeC3wqIg6jGP52PXBCi2KTJEmSJEkV1l8bYmmX8ynNVEvOYGZeBIwem3dsK2KRJEmSJEmdZWBwmO5F3vltpuzzkiRJkiRJHaW/NmRRaRZYVJIkSZIkSR3lrk01dl/a1eowdngWlSRJkiRJUkdZ17eFFTsvbnUYOzyLSpIkSZIkqWNs25bctnELe1tUmjGLSpIkSZIkqWPcuWmQoW1pp9IssKgkSZIkSZI6xrq+LQDsvfOSFkey47OoJEmSJEmSOsZIUclOpZmzqCRJkiRJkjrG+r7NAM6pNAssKkmSJEmSpI6xbuMWFs2fx+5LF7U6lB2eRSVJkiRJktQx1vcVd36LiFaHssOzqCRJkiRJkjrGurKopJmzqCRJkiRJkjrG+r4tTtI9SywqSZIkSZKkjpCZ9w1/08xZVJIkSZIkSR3h7v4ateFtrHiQRaXZYFFJkiRJkiR1hHV9WwDYe+clLY6kGiwqSZIkSZKkjjBSVHJOpdlhUUmSJEmSJHWE9X2bAYtKs8WikiRJkiRJ6gjr+rawYF6w+7KuVodSCRaVJEmSJElSR1jft4XlD1rM/HnR6lAqoSVFpYjYJSLOjIjLI+KyiHhCROwWEWdHxFXlz11bEZskSZIkSaqmdX1bHPo2i1rVqfRJ4CeZ+QjgUOAy4ETgnMw8GDin/FuSJEmSJGlWrN+4hb0tKs2aOS8qRcTOwFOAzwNkZi0zNwAvAE4rNzsNeOFcxyZJkiRJkqopM1nXt9lOpVnUik6lhwB3AF+MiP+NiM9FxFJgeWauK7dZDyxvQWySJEmSJKmC+jZvZcvWbey985JWh1IZkZlze8CIHuC3wJGZeX5EfBLYCLw1M3ep2+6ezHzAvEoRsQpYBbB8+fLD16xZM0eRN9emTZtYtmxZq8OYFVXJpSp5gLm0o6rkAebSrqqSS1XyAHNpV1XJpSp5gLm0o6rkAebSruYqlxs3DvOP523hzYd18Zd7L5j1/VfpNVm5cuWFmdkz2XazfxYndzNwc2aeX/59JsX8SbdFxIrMXBcRK4Dbx3pyZq4GVgP09PRkb2/vHITcfGvXrsVc2ktV8gBzaUdVyQPMpV1VJZeq5AHm0q6qkktV8gBzaUdVyQPMpV3NVS4/v/w2OO8Cjnri4Tz2gNm/N1iVXpNGzfnwt8xcD9wUEQ8vFx0FXAp8HziuXHYc8L25jk2SJEmSJFXTur4tAM6pNIta0akE8FbgaxGxCLgWeC1FgeuMiHg9cANwTItikyRJkiRJFbO+bwvzAvZc1tXqUCqjJUWlzLwIGGts3lFzHYskSZIkSaq+dX1b2GunxSyY34p7llXThGcyIuZHxOVzFYwkSZIkSVIzrO/bwopdHPo2myYsKmXmMHBFRBwwR/FIkiRJkiTNunV9m51PaZY1MvxtV+CSiPgd0D+yMDOf37SoJEmSJEmSZklmsq5vC0992F6tDqVSGikqfaDpUUiSJEmSJDXJvYNDDNSG7VSaZZMWlTLz3Ig4EDg4M38WEd3A/OaHJkmSJEmSNHPr+7YAsLdFpVk16ZTnEfFG4Ezgs+WifYHvNjMoSZIkSZKk2XLrhs0AdirNskbuo/dm4EhgI0BmXgU4CFGSJEmSJO0Q7FRqjkaKSoOZWRv5IyIWANm8kCRJkiRJkmbPur4tRMBeO1lUmk2NFJXOjYj3AUsi4hnAN4EfNDcsSZIkSZKk2bG+bwt7LOti0YJGyiBqVCNn80TgDuBPwAnAWcD7mxmUJEmSJEnSbFm3cYvzKTVBI3d/2wacCpwaEbsB+2Wmw98kSZIkSdIOYX3fZh6yx9JWh1E5jdz9bW1EPKgsKF1IUVw6pfmhSZIkSZIkzdy6vi2s2HlJq8OonEaGv+2cmRuBFwNfzszHA0c1NyxJkiRJkqSZ2zQ4xL1bhrzzWxM0UlRaEBErgGOAHzY5HkmSJEmSpFmzvm8LgHMqNUEjRaUPAf8FXJ2Z/xMRDwWuam5YkiRJkiRJM7eubzMAez/IotJsa2Si7m8C36z7+1rgJc0MSpIkSZIkaTasu69TyTmVZtukRaWI+CLwgLu9ZebrmhKRJEmSJEnSLBkZ/rbXg7paHEn1TFpUYvt5lBYDLwJubU44kiRJkiRJs2dd3xZ2X7qIxQvntzqUymlk+Nu36v+OiG8Av5rJQSPieuBeYBgYysyeiDgJeCNwR7nZ+zLzrJkcR5IkSZIkdbb1fZu981uTNNKpNNrBwF6zcOyVmXnnqGWnZObJs7BvSZIkSZIk1vVtYb9dnU+pGRqZU+letp9TaT3wnqZFJEmSJEmSNEvWb9xCz4N3bXUYldTI8LedmnDcBH4aEQl8NjNXl8vfEhGvAS4A3pmZ9zTh2JIkSZIkqQNsrg2zYWCrd35rksh8wI3dmn/QiH0z85aI2As4G3grcAVwJ0XB6cPAirHuMBcRq4BVAMuXLz98zZo1cxd4E23atIlly5a1OoxZUZVcqpIHmEs7qkoeYC7tqiq5VCUPMJd2VZVcqpIHmEs7qkoeYC7tqpm5rO/fxom/3Mwb/3wRR+67sCnHGFGl12TlypUXZmbPZNtNZ06lGcvMW8qft0fEd4DHZeYvRtZHxKlsf9e5+ueuBlYD9PT0ZG9vb/MDngNr167FXNpLVfIAc2lHVckDzKVdVSWXquQB5tKuqpJLVfIAc2lHVckDzKVdNTOX8665E355PiuPeAxP/LM9mnKMEVV6TRo1b64PGBFLI2Knkd+BZwIXR8SKus1eBFw817FJkiRJkqTqWLdhC4DD35pkwk6liJgPXJKZj5jFYy4HvhMRI8f/emb+JCK+EhGHUQx/ux44YRaPKUmSJEmSOsz6jUVRae8HLW5xJNU0YVEpM4cj4oqIOCAzb5yNA2bmtcChYyw/djb2L0mSJEmSBLCubzO7dC9kyaL5rQ6lkhqZU2lX4JKI+B3QP7IwM5/ftKgkSZIkSZJmaH3fFruUmqiRotIHmh6FJEmSJEnSLFvXt4UVO1tUapZJi0qZeW5EHAgcnJk/i4huwL4xSZIkSZLU1tb3beEv9tul1WFU1qR3f4uINwJnAp8tF+0LfLeZQUmSJEmSJM3Elq3D3NVfs1OpiSYtKgFvBo4ENgJk5lXAXs0MSpIkSZIkaSZu3zgIYFGpiRopKg1mZm3kj4hYAGTzQpIkSZIkSZqZdX2bAVix85IWR1JdjRSVzo2I9wFLIuIZwDeBHzQ3LEmSJEmSpOlb17cFgL3tVGqaRopKJwJ3AH8CTgDOAt7fzKAkSZIkSZJmwqJS8zVy97dtEXEacD7FsLcrMtPhb5IkSZIk6f9n787j66zrvP+/Pk3TNaWlLQ2lrZSlbCK0NCyyaAroMMooo+jIqCyilZ8b6qijc8/PUWe8bxdGxmVmHAQBUakM4ojcsg1QZFGghbLTjbK0tCkpXZK2SZvke/+R07FCkiZtcq7rXHk9H488mnNykvN+8+Xk0A/X9b1ya83GrYwZMZSa4bscfWg37fKfbES8HfghsBwI4ICI+GhK6eaBDidJkiRJkrQ7Vm9scZPuAdabcd0/A3NSSssAIuIg4P8CDpUkSZIkSVIurdnUwr5u0j2gerOnUtOOgVLJs0DTAOWRJEmSJEnaY6s3tjB5L49UGki9OVJpQUT8FriOzj2V3gM8FBHvAkgp3TCA+SRJkiRJkvpkW1sHjc2tbtI9wHozVBoBNABvLt1+GRgJ/AWdQyaHSpIkSZIkKTfWNrWQEu6pNMB6c/W3C8oRRJIkSZIkqT+s2dgCwORx7qk0kHqzp5IkSZIkSVLFWL1jqOSRSgPKoZIkSZIkSSqU1Ru3Arin0gBzqCRJkiRJkgpl9cYWRg+rYszw3mwlrd21y6FSRFwcEXtFpysi4uGIeOuePGlEPBcRj0fEoohYULpvfETcHhFLS3/uvSfPIUmSJEmSBqc1G1vYd+wIIiLrKIXWmyOVPpRS2gS8Fdgb+CDwjX547jkppZkppbrS7S8Cd6SUZgB3lG5LkiRJkiT1yeqNLUwe6ybdA603Q6UdY723AdeklJ7c6b7+9E7g6tLnVwNnDcBzSJIkSZKkgttxpJIGVm+GSgsj4jY6h0q3RsQYoGMPnzcBt0XEwoiYW7qvNqW0uvT5GqB2D59DkiRJkiQNMm3tHaxtavHKb2UQKaWeHxAxBJgJPJtS2hARE4ApKaXHdvtJI6aklFZFxCTgduCTwI0ppXE7PWZ9Suk1+yqVhlBzAWpra2fPmzdvd2PkSnNzMzU1NVnH6BdF6VKUHmCXPCpKD7BLXhWlS1F6gF3yqihditID7JJHRekBdsmr/u7ySksHn52/lfOOGMac11X328/dlSKtyZw5cxbutF1Rt3qzDfrtKaXTdtxIKa2LiOuA03r4nh6llFaV/lwbEb8CjgMaImJySml1REwG1nbzvZcBlwHU1dWl+vr63Y2RK/Pnz8cu+VKUHmCXPCpKD7BLXhWlS1F6gF3yqihditID7JJHRekBdsmr/u7y8AvrYf79vPm4o6g/rHwnQRVpTXqr29PfImJERIwHJkbE3qWrs42PiOnAlN19wogYXTqFjogYTecG4E8ANwLnlR52HvDr3X0OSZIkSZI0OK3Z2ALgRt1l0NORSh8FPg3sByzkj5tzbwJ+sAfPWQv8qnRZv6HAz1NKt0TEQ8B1EXEh8Dzw3j14DkmSJEmSNAi9tGErgHsqlUG3Q6WU0neB70bEJ1NK3++vJ0wpPQsc3cX969iDU+okSZIkSZLWbGxhRPUQxo4s335Kg9Uu91RKKX0/Ik4Epu/8+JTSTwYwlyRJkiRJUp+t3tTC5LEjKZ0hpQG0y6FSRFwDHAQsAtpLdyfAoZIkSZIkScqVNRtb2HcvT30rh95c/a0OOCKllAY6jCRJkiRJ0p5Ys7GF4w8Yn3WMQaHbq7/t5Alg34EOIkmSJEmStCfaOxINm1rY1026y6I3RypNBJ6KiAeB1h13ppTeMWCpJEmSJEmS+mhdcyttHckrv5VJb4ZKXxnoEJIkSZIkSXtq9cYWAPYdOzLjJINDb67+dndE7A/MSCn9d0SMAqoGPpokSZIkSVLv7RgqeaRSeexyT6WI+AhwPfAfpbumAP81kKEkSZIkSZL6as3GrYBDpXLpzUbdHwdOAjYBpJSWApMGMpQkSZIkSVJfrd7YwrCqIYwfPSzrKINCb4ZKrSmlbTtuRMRQIA1cJEmSJEmSpL5bvbHzym8RkXWUQaE3Q6W7I+LvgJER8RbgP4HfDGwsSZIkSZKkvllTGiqpPHozVPoi8DLwOPBR4LfA3w9kKEmSJEmSpL56cf0Wpozzym/lssurvwFnAT9JKf1ooMNIkiRJkiTtjk0t21m9sYUZtTVZRxk0enOk0l8ASyLimog4s7SnkiRJkiRJUm4sbWgC4JBJYzJOMnjscqiUUroAOBsGbGMAACAASURBVJjOvZTOAZZHxOUDHUySJEmSJKm3ljQ0A3BIrUOlcunVUUcppe0RcTOdV30bSecpcR8eyGCSJEmSJEm9taShiZHVVUzd2z2VymWXRypFxJ9HxFXAUuDdwOXAvgOcS5IkSZIkqdeWNDQxo7aGIUMi6yiDRm+OVDoX+AXw0ZRS6wDnkSRJkiRJ6rMlDc28+ZB9so4xqPRmT6VzgEeAUwAiYmRE7PEJihFRFRGPRMRNpdtXRcSKiFhU+pi5p88hSZIkSZKKb/3mbbzc1MohXvmtrHpz+ttHgOuB/yjdNRX4r3547ouBp1913+dTSjNLH4v64TkkSZIkSVLBLdlx5Tc36S6rXQ6VgI8DJwGbAFJKS4FJe/KkETEVeDud+zNJkiRJkiTtNodK2ejNUKk1pbRtx42IGErnVeD2xL8AXwA6XnX/1yPisYi4NCKG7+FzSJIkSZKkQWBJQzNjhg9l8tgRWUcZVCKlnudDEfEtYAOdG3Z/EvgY8FRK6X/t1hNGnAm8LaX0sYioBz6XUjozIiYDa4BhwGXA8pTS17r4/rnAXIDa2trZ8+bN250YudPc3ExNTTHO/SxKl6L0ALvkUVF6gF3yqihditID7JJXRelSlB5glzwqSg+wS171R5f/88BW2hP8/Qkj+ylV3xVpTebMmbMwpVS3ywemlHr8oPNopo8A/0nn3kofoTSM2p0P4P8AK4Hn6BwibQF++qrH1AM37epnzZ49OxXFXXfdlXWEflOULkXpkZJd8qgoPVKyS14VpUtReqRkl7wqSpei9EjJLnlUlB4p2SWv9rRLR0dHmvnVW9PfXv9o/wTaTUVaE2BB6sWMZ2gvhk4dwI9KH3sspfQl4EsAOx2p9IGImJxSWh0RAZwFPNEfzydJkiRJkoqrsXkb67dsdz+lDOxyqFRGP4uIfYAAFgEXZZxHkiRJkiTlnJt0ZyfToVJKaT4wv/T5qVlmkSRJkiRJled/hkr7FmM/o0rS7dXfSld5kyRJkiRJyq0lDU2MG1XNPjVeRL7cuh0qAQ/u+CQivl+GLJIkSZIkSX2ypKGZQ2rH0LlFs8qpp6HSzqtx0kAHkSRJkiRJ6ouUEkvWNHFIrae+ZaGnoVIqWwpJkiRJkqQ+WrOphabWNg51k+5M9LRv0mER8RidRywdVPqc0u2UUjpqwNNJkiRJkiR1Y0lDMwAzHCploqeh0uFlSyFJkiRJktRHS9aUrvzmUCkT3Q6VUkrPd3V/RJwMnAN8fKBCSZIkSZIk7cqShiYm1gxn/OhhWUcZlHo6Uul/RMQs4K+B9wArgBsGMpQkSZIkSdKuLGlwk+4sdTtUiohD6Dwi6RygEfgFECmlOWXKJkmSJEmS1KWOjsTStc28t25a1lEGrZ6OVHoGuAc4M6W0DCAiPlOWVJIkSZIkST1YtWErW7a1u59Shob08LV3AauBuyLiRxFxGp1XfpMkSZIkScrUkobOTboP3dfT37LS01DpppTS+4DDgLuATwOTIuLfI+KtZUknSZIkSZLUhSUNzQAcPMkjlbLS01DpQYCU0uaU0s9TSn8BTAUeAf62HOEkSZIkSZK6sqShicljRzB2ZHXWUQatnoZKrznVLaW0PqV0WUrptAHMJEmSJEmS1KMlDU3McD+lTPW0Ufc+EfHZ7r6YUvrOAOSRJEmSJEnqUXtHYtnaZk48aELWUQa1noZKVUANbs4tSZIkSZJy5IVXttDa1uGRShnraai0OqX0tbIlkSRJkiRJ6oXFazqv/HaIQ6VM9WlPJUmSJEmSpKwtbegcKs2YVJNxksGtp6HSgG7GHRFVEfFIRNxUun1ARDwQEcsi4hcRMWwgn1+SJEmSJFWmxQ1NTN17JKOH93QClgZat0OllNIrA/zcFwNP73T7m8ClKaWDgfXAhQP8/JIkSZIkqQItbWjmUE99y1xPRyoNmIiYCrwduLx0O4BTgetLD7kaOCuLbJIkSZIkKb+2t3fwbGOzm3TnQCZDJeBfgC8AHaXbE4ANKaW20u2VwJQsgkmSJEmSpPx6rnEz29sTh+7rfkpZi5RSeZ8w4kzgbSmlj0VEPfA54HzgD6VT34iIacDNKaUju/j+ucBcgNra2tnz5s0rV/QB1dzcTE1NMV4QRelSlB5glzwqSg+wS14VpUtReoBd8qooXYrSA+ySR0XpAXbJq752eXBNG/+2qJWvnjiC/feqGsBkfVOkNZkzZ87ClFLdrh6XxY5WJwHviIi3ASOAvYDvAuMiYmjpaKWpwKquvjmldBlwGUBdXV2qr68vS+iBNn/+fOySL0XpAXbJo6L0ALvkVVG6FKUH2CWvitKlKD3ALnlUlB5gl7zqa5eHb1/CkFjKX/15PSOq8zNUKtKa9FbZT39LKX0ppTQ1pTQdeB9wZ0rp/cBdwNmlh50H/Lrc2SRJkiRJUr4tbWhi/wmjczVQGqyy2lOpK38LfDYiltG5x9IVGeeRJEmSJEk5s7ihiRmTinGaWaXL4vS3/5FSmg/ML33+LHBclnkkSZIkSVJ+tba18/y6Lbz9DZOzjiLydaSSJEmSJElSt559eTPtHYkZtWOyjiIcKkmSJEmSpAqxpKEJgEMdKuWCQyVJkiRJklQRljQ0MXRIcMDE0VlHEQ6VJEmSJElShVi8ppkDJo5m2FDHGXngKkiSJEmSpIqwdG0Th3jqW244VJIkSZIkSbm3dVs7L7yyxaFSjjhUkiRJkiRJubdsbTMpwSG1NVlHUYlDJUmSJEmSlHuLS1d+m+GRSrnhUEmSJEmSJOXe0oYmhlUNYfqEUVlHUYlDJUmSJEmSlHtLGpo4cJ/RDK1ylJEXroQkSZIkScq9JQ3NHLqvp77liUMlSZIkSZKUa00t21m1YatXfssZh0qSJEmSJCnXlq5tBnColDMOlSRJkiRJUq4tLV357ZDamoyTaGcOlSRJkiRJUq4tXtPMiOohTNvbK7/liUMlSZIkSZKUa0vXNjFj0hiGDImso2gnDpUkSZIkSVKuLWloYoanvuWOQyVJkiRJkpRbK9dvoWFTK0fuNzbrKHoVh0qSJEmSJCm37lvWCMDJMyZmnESvVvahUkSMiIgHI+LRiHgyIr5auv+qiFgREYtKHzPLnU2SJEmSJOXLvcvWsc+Y4cyY5OlveTM0g+dsBU5NKTVHRDVwb0TcXPra51NK12eQSZIkSZIk5UxHR+L+ZY286ZB9iHCT7rwp+1AppZSA5tLN6tJHKncOSZIkSZKUb8+saWLd5m2cdLCnvuVRJnsqRURVRCwC1gK3p5QeKH3p6xHxWERcGhHDs8gmSZIkSZLy4d5lLwNwskOlXIrOA4cyevKIccCvgE8C64A1wDDgMmB5SulrXXzPXGAuQG1t7ex58+aVL/AAam5upqamGOeHFqVLUXqAXfKoKD3ALnlVlC5F6QF2yauidClKD7BLHhWlB9glr3rqcsmCFl7Z2sH/PmVUmVP1XZHWZM6cOQtTSnW7elwWeyr9j5TShoi4CzgjpXRJ6e7WiLgS+Fw333MZnUMn6urqUn19fVmyDrT58+djl3wpSg+wSx4VpQfYJa+K0qUoPcAueVWULkXpAXbJo6L0ALvkVXddWtvaWXbHbbzv2P2pr399+YP1UZHWpLeyuPrbPqUjlIiIkcBbgGciYnLpvgDOAp4odzZJkiRJkpQPDz+/gZbtHe6nlGNZHKk0Gbg6IqroHGpdl1K6KSLujIh9gAAWARdlkE2SJEmSJOXAvctepmpIcMKB47OOom5kcfW3x4BZXdx/armzSJIkSZKkfLp32TpmThvHmBHVWUdRNzK5+pskSZIkSVJ3Nm7ZzuMrN3jqW845VJIkSZIkSbny+2fX0ZHglBkOlfLMoZIkSZIkScqVe5e9zOhhVcycNi7rKOqBQyVJkiRJkpQr9y1bx/EHTqC6yrFFnrk6kiRJkiQpN1au38KKxs3up1QBHCpJkiRJkqTcuH/ZOsD9lCqBQyVJkiRJkpQb9yxrZJ8xw5kxqSbrKNoFh0qSJEmSJCkXOjoS9y9r5OSDJxIRWcfRLjhUkiRJkiRJufDMmibWbd7mfkoVwqGSJEmSJEnKhfuWNQJwskOliuBQSZIkSZIk5cI9yxo5eFIN+44dkXUU9YJDJUmSJEmSlLnWtnYeXLHOo5QqiEMlSZIkSZKUuYef30DL9g6HShXEoZIkSZIkScrcfcsaqRoSHH/g+KyjqJccKkmSJEmSpMzds6yRmdPGMWZEddZR1EsOlSRJkiRJUqY2btnO4ys3cJKnvlUUh0qSJEmSJClTv392HR0JTpnhUKmSOFSSJEmSJEmZum9ZI6OHVTFz2riso6gPyj5UiogREfFgRDwaEU9GxFdL9x8QEQ9ExLKI+EVEDCt3NkmSJEmSVH73Lmvk+AMnUF3lsS+VJIvVagVOTSkdDcwEzoiIE4BvApemlA4G1gMXZpBNkiRJkiSVUePWDlY0buZk91OqOGUfKqVOzaWb1aWPBJwKXF+6/2rgrHJnkyRJkiRJ5fXUunYATnY/pYqTyXFlEVEVEYuAtcDtwHJgQ0qprfSQlcCULLJJkiRJkqTyeWpdO/uMGc6MSTVZR1EfRUopuyePGAf8Cvj/gatKp74REdOAm1NKR3bxPXOBuQC1tbWz582bV8bEA6e5uZmammK8gIrSpSg9wC55VJQeYJe8KkqXovQAu+RVUboUpQfYJY+K0gPskkcdKfGpOzfzhn2G8tGjRmQdZ48UZU0A5syZszClVLerxw0tR5jupJQ2RMRdwBuBcRExtHS00lRgVTffcxlwGUBdXV2qr68vV9wBNX/+fOySL0XpAXbJo6L0ALvkVVG6FKUH2CWvitKlKD3ALnlUlB5glzx66qVNNN96D2efdCT1s6dmHWePFGVN+iKLq7/tUzpCiYgYCbwFeBq4Czi79LDzgF+XO5skSZIkSSqf+5Y1AnCSm3RXpCyOVJoMXB0RVXQOta5LKd0UEU8B8yLin4BHgCsyyCZJkiRJksrk3mWN7Dc62HdsZZ/6NliVfaiUUnoMmNXF/c8Cx5U7jyRJkiRJKr/WtnYeXPEKJ02uyjqKdlMmV3+TJEmSJEmD2/zFL7N1eztH7eNQqVI5VJIkSZIkSWX3y4UrmVgznNdPcKhUqRwqSZIkSZKkslrX3Mqdz6zlL2ftR9WQyDqOdpNDJUmSJEmSVFY3PvoSbR2Jd8+emnUU7QGHSpIkSZIkqayuX7iSI6fsxWH77pV1FO0Bh0qSJEmSJKlsnl69iSdf2sTZx3iUUqVzqCRJkiRJksrmlwtXUl0VvGPmlKyjaA85VJIkSZIkSWWxvb2D/1q0ilMPm8T40cOyjqM95FBJkiRJkiSVxe+WvExj8zbOnj0t6yjqBw6VJEmSJElSWVy/cCUTRg+j/tB9so6ifuBQSZIkSZIkDbj1m7dxx9NreefMKVRXOY4oAldRkiRJkiQNuN889hLb2jt492w36C4Kh0qSJEmSJGnA/XLhSg6fvBev329s1lHUTxwqSZIkSZKkAbWkoYlHV27k3cd4lFKROFSSJEmSJEkD6pcLVzJ0SHDWLIdKReJQSZIkSZIkDZi29g5+9cgq6g+dxMSa4VnHUT9yqCRJkiRJkgbMPcsaWdvUytlu0F04DpUkSZIkSdKA+eXClew9qppTD6vNOor6WdmHShExLSLuioinIuLJiLi4dP9XImJVRCwqfbyt3NkkSZIkSVL/2bhlO7c91cA7jt6PYUM9rqVohmbwnG3A36SUHo6IMcDCiLi99LVLU0qXZJBJkiRJkiT1s5sef4ltbR2cPXta1lE0AMo+VEoprQZWlz5vioinAU+slCRJkiSpYK5fuJJDams4cspeWUfRAMj02LOImA7MAh4o3fWJiHgsIn4cEXtnFkySJEmSJO2R5S8388gLGzh79lQiIus4GgCRUsrmiSNqgLuBr6eUboiIWqARSMA/ApNTSh/q4vvmAnMBamtrZ8+bN6+MqQdOc3MzNTU1WcfoF0XpUpQeYJc8KkoPsEteFaVLUXqAXfKqKF2K0gPskkdF6QF2Kbfrl2zjtyu28503j2TciO6PaamELr1RlB4Ac+bMWZhSqtvV4zIZKkVENXATcGtK6TtdfH06cFNK6ciefk5dXV1asGDBgGQst/nz51NfX591jH5RlC5F6QF2yaOi9AC75FVRuhSlB9glr4rSpSg9wC55VJQeYJdyau9InPSNOzl88hiuvOC4Hh+b9y69VZQeABHRq6FSFld/C+AK4OmdB0oRMXmnh/0l8ES5s0mSJEmSpD13//JG1mxqcYPugsvi6m8nAR8EHo+IRaX7/g44JyJm0nn623PARzPIJkmSJEmS9tD1C1ey14ihnHb4pKyjaABlcfW3e4Guduj6bbmzSJIkSZKk/rWpZTu3PrmGs2dPZUR1VdZxNIAyvfqbJEmSJEkqlusXrKRlewfv8dS3wnOoJEmSJEmS+sX29g4uv+dZjps+nqOnjcs6jgaYQyVJkiRJktQvblz0Ei9tbOGi+gOzjqIycKgkSZIkSZL2WEdH4j9+t5xDa8cw51A36B4MHCpJkiRJkqQ9ducza1nS0MxF9QcS0dX1uVQ0DpUkSZIkSdIe++Hdy5kybiRnHrVf1lFUJg6VJEmSJEnSHnnouVdY8Px6PnLKAVRXOWoYLFxpSZIkSZK0R344fzl7j6rmvcdOyzqKysihkiRJkiRJ2m2L1zRxxzNrOf/EAxg1bGjWcVRGDpUkSZIkSdJu+4+7lzOyuopz37h/1lFUZg6VJEmSJEnSblm5fgs3PvoS5xz3OvYePSzrOCozh0qSJEmSJGm3XH7PCgA+fMoBGSdRFhwqSZIkSZKkPntl8zZ+8dCLvHPmFPYbNzLrOMqAQyVJkiRJktRnV9//HFu3t3PRmw/MOooy4lBJkiRJkiT1yZZtbVz9++c4/fBaZtSOyTqOMuJQSZIkSZIk9ckvHnqRDVu28//Ve5TSYOZQSZIkSZIk9dr29g4uv2cFx00fz+z9x2cdRxlyqCRJkiRJknrtN4++xKoNW7nIo5QGvbIPlSJiWkTcFRFPRcSTEXFx6f7xEXF7RCwt/bl3ubNJkiRJkqTudXQkfnj3cg6tHcOcQydlHUcZy+JIpTbgb1JKRwAnAB+PiCOALwJ3pJRmAHeUbkuSJEmSpJy4a/FaljQ0c1H9gURE1nGUsbIPlVJKq1NKD5c+bwKeBqYA7wSuLj3sauCscmeTJEmSJEnd+/f5y5kybiRnHrVf1lGUA5nuqRQR04FZwANAbUppdelLa4DajGJJkiRJkqRXuX9ZIwueX89HTjmA6iq3aBZESimbJ46oAe4Gvp5SuiEiNqSUxu309fUppdfsqxQRc4G5ALW1tbPnzZtXtswDqbm5mZqamqxj9IuidClKD7BLHhWlB9glr4rSpSg9wC55VZQuRekBdsmjovQAu+yJVU0d/O8HtzJqaPBPJ41k+ND+O/WtKOtSlB4Ac+bMWZhSqtvV4zIZKkVENXATcGtK6Tul+xYD9Sml1RExGZifUjq0p59TV1eXFixYMPCBy2D+/PnU19dnHaNfFKVLUXqAXfKoKD3ALnlVlC5F6QF2yauidClKD7BLHhWlB9hld734yhbO/uH9pATXX3Qir5swql9/flHWpSg9ACKiV0OlLK7+FsAVwNM7BkolNwLnlT4/D/h1ubNJkiRJkqQ/Wruphfdf/gAt2zu45sLj+32gpMo2NIPnPAn4IPB4RCwq3fd3wDeA6yLiQuB54L0ZZJMkSZIkScCGLdv44BUP0tjcys8+fDyH7jsm60jKmbIPlVJK9wLdnXx5WjmzSJIkSZKk19rc2sb5Vz7EisbNXHnBscx63Wu2PJayvfqbJEmSJEnKl9a2duZes4DHVm7g+389i5MOnph1JOVUFqe/SZIkSZKkHGpr7+BT1z7CfcvWccl7jubPXr9v1pGUYx6pJEmSJEmS6OhIfPGGx7n1yQa+fOYRnD17ataRlHMOlSRJkiRJGuRSSnz9t09z/cKVXHzaDD508gFZR1IFcKgkSZIkSdIg9/07l3HFvSs4/8TpfPr0GVnHUYVwqCRJkiRJ0iB29f3P8Z3bl/CuY6bw5TOPIKK7C7ZLf8qhkiRJkiRJg9QND6/kH258krccUcu33n0UQ4Y4UFLvOVSSJEmSJGkQuu3JNXz++sc48aAJfP+cWQytckSgvvHfGEmSJEmSBpn7lzfyiWsf4cgpY7ns3DpGVFdlHUkVyKGSJEmSJEmDyKIXN/CRqxcwfcIorjr/WGqGD806kiqUQyVJkiRJkgaJpQ1NnH/lg4yvGcY1Fx7P3qOHZR1JFcyhkiRJkiRJg8CLr2zhA1c8QHXVEH564fHU7jUi60iqcA6VJEmSJEkquLWbWvjAFQ/Qsr2Dn154PPtPGJ11JBWAQyVJkiRJkgpsw5ZtnPvjB3m5qZWrLjiWQ/cdk3UkFYRDJUmSJEmSCmpzaxsXXPUQz768mR+dW8es1+2ddSQViEMlSZIkSZIKqLWtnYt+upBHX9zA986ZxUkHT8w6kgrG6wZKkiRJklQwbe0dXHztIu5Z2sgl7zmaM47cN+tIKiCPVJIkSZIkqUA6OhJfuuFxbnlyDV8+8wjOnj0160gqqLIPlSLixxGxNiKe2Om+r0TEqohYVPp4W7lzSZIkSZJU6VJKfP23T/OfC1dy8Wkz+NDJB2QdSQWWxZFKVwFndHH/pSmlmaWP35Y5kyRJkiRJFe/7dy7jintXcP6J0/n06TOyjqOCK/tQKaX0O+CVcj+vJEmSJElFdtV9K/jO7Ut49zFT+fKZRxARWUdSweVpT6VPRMRjpdPjvMahJEmSJEm9dMPDK/nKb57irUfU8s13v4EhQxwoaeBFSqn8TxoxHbgppXRk6XYt0Agk4B+BySmlD3XzvXOBuQC1tbWz582bV47IA665uZmampqsY/SLonQpSg+wSx4VpQfYJa+K0qUoPcAueVWULkXpAXbJo6L0gOJ2ebihjR8sauXQvYfwmdkjGFZVWQOloqxLUXoAzJkzZ2FKqW5Xj8vFUKm3X3u1urq6tGDBgv6Ol4n58+dTX1+fdYx+UZQuRekBdsmjovQAu+RVUboUpQfYJa+K0qUoPcAueVSUHlDMLvcvb+T8Kx/i8Ml78bMPH0/N8KFZR+uzoqxLUXoARESvhkq5OP0tIibvdPMvgSe6e6wkSZIkSYJFL27gI1cvYPqEUVx1/rEVOVBSZSv7v3ERcS1QD0yMiJXAPwD1ETGTztPfngM+Wu5ckiRJkiRVilVNHXz6ygcZXzOMay48nr1HD8s6kgahsg+VUkrndHH3FeXOIUmSJElSJXrxlS18e0EL1cOG8dMLj6d2rxFZR9Ig5bFxkiRJkiRViLWbWvjAFQ+wvSPxiwuPZ/8Jo7OOpEEsF3sqSZIkSZKknm3Yso0PXvEgLze18tnZIzh03zFZR9Ig51BJkiRJkqSc29zaxgVXPcSKxs386Nw6DhpXlXUkyaGSJEmSJEl51trWzkU/XcijL27ge+fM4qSDJ2YdSQLcU0mSJEmSpNxqa+/g4msXcc/SRi55z9GcceS+WUeS/odHKkmSJEmSlEMdHYkv3fA4tzy5hi+feQRnz56adSTpTzhUkiRJkiQpZ1JKfP23T/OfC1fyqdNm8KGTD8g6kvQaDpUkSZIkScqZ79+5jCvuXcH5J07nM6fPyDqO1CWHSpIkSZIk5chV963gO7cv4V3HTOHLZx5BRGQdSeqSQyVJkiRJknLiV4+s5Cu/eYq3HFHLt959FEOGOFBSfnn1N0mSJEmSBtBLG7ayYcv2XT7umTWb+Pz1j3HiQRP4/jmzGFrlcSDKN4dKkiRJkiQNkOsXruTz1z9KSr17/NHTxnHZuXWMqK4a2GBSP3CoJEmSJEnSALj1yTX87S87jzz64AnTd/n4qiHBiQdNYPRw/6quyuC/qZIkSZIk9bP7ljXyyZ8/wlFTx3LZB+scFKmQPEFTkiRJkqR+9MgL6/nITxZwwMTRXHn+sQ6UVFgOlSRJkiRJ6ieL1zRx/pUPMbFmONdceBzjRg3LOpI0YBwqSZIkSZLUD15Yt4UPXvEAw4cO4WcfPp5Je43IOpI0oDwGT5IkSZKkPdSwqYX3X/EHtrV3cN1H38i08aOyjiQNuEyOVIqIH0fE2oh4Yqf7xkfE7RGxtPTn3llkkyRJkiSpL9Zv3sYHr3iAV5q3cdUFx3FI7ZisI0llkdXpb1cBZ7zqvi8Cd6SUZgB3lG5LkiRJkpRbza1tnH/VQzy3bgs/OreOmdPGZR1JKptMhkoppd8Br7zq7ncCV5c+vxo4q6yhJEmSJEnqg5bt7cz9yQKeWLWRH5wzixMPnph1JKms8rRRd21KaXXp8zVAbZZhJEmSJEnqTmtbO5+69hHuX76Ob737KN76+n2zjiSVXaSUsnniiOnATSmlI0u3N6SUxu309fUppdfsqxQRc4G5ALW1tbPnzZtXnsADrLm5mZqamqxj9IuidClKD7BLHhWlB9glr4rSpSg9wC55VZQuRekBdsmjovSA/unSkRK/f6mNG5ZuZ11L4v2HDeMt06v7KWHvuS75U5QeAHPmzFmYUqrb1ePydPW3hoiYnFJaHRGTgbVdPSildBlwGUBdXV2qr68vY8SBM3/+fOySL0XpAXbJo6L0ALvkVVG6FKUH2CWvitKlKD3ALnlUlB6wZ11SStz5zFq+dctiFjds4cgpe/HdMw7n5BnZnPLmuuRPUXr0RZ6GSjcC5wHfKP3562zjSJIkSZIEC59/hW/c/AwPPbee6RNG8f1zZvH2N0xmyJDIOpqUqUyGShFxLVAPTIyIlcA/0DlMui4iLgSeB96bRTZJkiRJkgCWNjTxrVsXc/tTDUysGc4/nnUk7zt2GtVVedqeWMpOJkOllNI53XzptLIGkSRJkiTpVV7asJVLb1/CLx9eyehhQ/ncWw/hXvZK2AAAFVVJREFUQycfwKhheTrZR8qerwhJkiRJkoD1m7fx73cv56r7n4MEHzrpAD4252DGjx6WdTQplxwqSZIkSZIGta3b2vnxfSv44d3L2dzaxruOmcpn3nIIU8aNzDqalGsOlSRJkiRJg9L29g6uW/Ai3/3vpaxtauX0w2v5whmHckjtmKyjSRXBoZIkSZIkaVBJKXHzE2u45NbFPNu4mbr99+Zf338Mx04fn3U0qaI4VJIkSZIkDRr3L2vkm7c8w6MrN3JIbQ2Xn1vHaYdPIiKyjiZVHIdKkiRJkqSySClx21MNrFy/NZPn/q+HWnjilgfYb+wIvn32UbzrmKlUDXGYJO0uh0qSJEmSpLL4t/nL+fatizN7/tHV8PdvP5wPnLA/I6qrMsshFYVDJUmSJEnSgLvmD8/z7VsXc9bM/fjqO46EDA4Qeuj393L6KQeW/4mlgnKoJEmSJEkaUL9etIov//oJTj98Et9+z9FUVw3JJMdQT3WT+lU2r2RJkiRJ0qBwx9MNfPa6Rzlu+nh+8NfHZDZQktT/fDVLkiRJkgbEH55dx8d+9jCv328vLj+vzn2MpIJxqCRJkiRJ6nePr9zIh69ewLTxo7jqguMYM6I660iS+plDJUmSJElSv1q2tpnzrnyQsSOruebC4xg/eljWkSQNAIdKkiRJkqR+s3L9Fj54xQMMieBnHz6eyWNHZh1J0gBxqCRJkiRJ6hcvN7XygcsfYHNrG9dceBzTJ47OOpKkATQ06wCSJEmSpMq3cet2zv3xgzRsauWnHz6ewyfvlXUkSQPMoZIkSZIk5dj29g5+9fAqnlq9KZPnX7Wqlfmbntzl4x567hWWrW3iivOOZfb+e5chmaSsOVSSJEmSpBxKKXHzE2u45NbFPNu4mZrhQxkS5c/R1tbG0IaVu3zciOoqvve+WbzpkH3KkEpSHjhUkiRJkqScuX9ZI9+85RkeXbmRQ2pr+NG5dZx++CQiyj9Vmj9/PvX19WV/Xkn5l7uhUkQ8BzQB7UBbSqku20SSJEmSVB5PrNrIN295hnuWNrLf2BF8++yjeNcxU6nK4hAlSdqF3A2VSuaklBqzDiFJkiRJ5fD8us1cctsSfvPoS4wbVc3fv/1wPnDC/oyorso6miR1K69DJUmSJEmqWBu2bOPlLR28+MqWHh/X2tbOT37/PD9/4AWGVgWfmHMwc998IHuNqC5TUknafXkcKiXgtohIwH+klC7LOpAkSZIk9cbaTS18946l/OKhF2nrSPC7u3b5PVVDgvcdO42LT5vBpL1GlCGlJPWPSCllneFPRMSUlNKqiJgE3A58MqX0u52+PheYC1BbWzt73rx5GSXtX83NzdTU1GQdo18UpUtReoBd8qgoPcAueVWULkXpAXbJq6J0KUoPqNwuW7Ynbl6xnVuf3057B7xp6lCmjNjOiBHDd/m9M8ZVUTt6SBlS7p5KXZOu2CWfitKlKD0A5syZs7A3e1znbqi0s4j4CtCcUrqkq6/X1dWlBQsWlDfUACnSFRWK0qUoPcAueVSUHmCXvCpKl6L0ALvkVVG6FKUHVF6Xlu3t/PQPz/Ovdy1j/ZbtnHnUZD731kOZPnF0xXXpTlF6gF3yqihditIDICJ6NVTK1elvETEaGJJSaip9/lbgaxnHkiRJkqQ/0d6R+NUjq7j09iWs2rCVU2ZM5At/dhhvmDo262iSVDa5GioBtcCvIgI6s/08pXRLtpEkSZIkqVNKiTueXsu3b13M4oYm3jBlLN9891GcPGNi1tEkqexyNVRKKT0LHJ11DklSvi16cQNX3beC5ta2fv25jY0t/PT5h/r1Z2alKF2K0gPskldF6VKUHpD/Lms2tfDEqk1MnzCKH/z1LN525GSGDImsY0lSJnI1VJIkqSfLX27mklsXc/MTaxg3qpop40b2689vbk1s39jSrz8zK0XpUpQeYJe8KkqXovSA/HeprhrCP511JH917DSqq/K7ubYklYNDJUlS7q3Z2MJ371jCdQtWMmLoED5z+iFceMoB1Azv37exzs0VT+nXn5mVonQpSg+wS14VpUtRekCxukhS0TlUkiTl1sat2/nh3cu58r4VtHckPnjC/nzi1IOZWLPryzNLkiRJGlgOlSRJudOyvZ2r73+Of5u/nE0t2zlr5hQ++5ZDmDZ+VNbRJEmSJJU4VJKkMmtr72DJ+naGLWvMOkq/eGpd/3ZZsW4zP7hzGas3tlB/6D584c8O44j99uq3ny9JkiSpfzhUkqQySSlxyxNr+PZti3n25RZ44IGsI/Wfh/q3y8xp47j0r2ZywoET+vXnSpIkSeo/DpUkqQx+v3wd37jlGR59cQMzJtVw0VHDmXPCrKxj9YtFixYxc+bMfvt5I4dV8YYpY4nw8sySJElSnjlUkqQB9ORLG/nWLYu5e8nLTB47gm+dfRTvPmYq9/zubo4vyFE4W1+oKkwXSZIkSb3nUEmSBsAL67bwz7cv5teLXmLsyGr+7m2Hce4bpzOiuirraJIkSZLULxwqSVI/amxu5ft3LOXnD75A1ZDgY/UH8dE3H8TYkdVZR5MkSZKkfuVQqUIsbWjiX+5YyvK1zVlH2aXm5i3ULPpd1jH2WFF6gF3K6YVXttDa1sF766bx6dNnULvXiKwjSZIkSdKAcKiUcy9t2Mqlty/hlw+vZNSwobzxoAkMyfnetY1pCxMnjMo6xh4rSg+wSznNet04PnzKgRy0T03WUSRJkiRpQDlUyqn1m7fxb/OXcfXvn4cEF5x0AB+fczDjRw/LOtouzZ8/n/r6uqxj7LGi9AC7SJIkSZL6n0OlnNm6rZ0f37eCH969nObWNt41ayqfecsMpu6d3yMzJEmSJEnS4ONQKSfaOhI/e+B5vvvfS1nb1Mpph03i82ccymH77pV1NEmSJEmSpNdwqJSxlBI3P7GGr927lTVbnmD2/nvzr+8/hmOnj886miRJkiRJUrccKmWsubWN//Wrxxk5BH50bh2nHz6JiJzvxC1JkiRJkgY9h0oZGzOimus++kZefGoBpx5Rm3UcSZIkSZKkXhmSdYCdRcQZEbE4IpZFxBezzlMuM2rHMMSjkyRJkiRJUgXJzVApIqqAfwX+HDgCOCcijsg2lSRJkiRJkrqSm6EScBywLKX0bEppGzAPeGfGmSRJkiRJktSFPA2VpgAv7nR7Zek+SZIkSZIk5UzFbdQdEXOBuaWbzRGxOMs8/Wgi0Jh1iH5SlC5F6QF2yaOi9AC75FVRuhSlB9glr4rSpSg9wC55VJQeYJe8KkqXovQA2L83D8rTUGkVMG2n21NL9/2JlNJlwGXlClUuEbEgpVSXdY7+UJQuRekBdsmjovQAu+RVUboUpQfYJa+K0qUoPcAueVSUHmCXvCpKl6L06Is8nf72EDAjIg6IiGHA+4AbM84kSZIkSZKkLuTmSKWUUltEfAK4FagCfpxSejLjWJIkSZIkSepCboZKACml3wK/zTpHRop0Sl9RuhSlB9glj4rSA+ySV0XpUpQeYJe8KkqXovQAu+RRUXqAXfKqKF2K0qPXIqWUdQZJkiRJkiRVmDztqSRJkiRJkqQK4VApYxFxRkQsjohlEfHFrPPsiYh4LiIej4hFEbEg6zx9ERE/joi1EfHETveNj4jbI2Jp6c+9s8zYW910+UpErCqtzaKIeFuWGXsjIqZFxF0R8VREPBkRF5fur7h16aFLJa7LiIh4MCIeLXX5aun+AyLigdLvsl+ULriQWz30uCoiVuy0JjOzztpbEVEVEY9ExE2l2xW1Jjt00aOS1+Q174sV+jusqx4V9/sLICLGRcT1EfFMRDwdEW+sxDWBbrtU1LpExKE7ZV0UEZsi4tOVuCY9dKmoNdkhIj5Ten98IiKuLb1vVtz7Sjc9KvJ9JSIuLvV4MiI+Xbqv4l4r0G2XinitRB/+3hidvld6zTwWEcdkl3zgOFTKUERUAf8K/DlwBHBORByRbao9NielNLMCL6N4FXDGq+77InBHSmkGcEfpdiW4itd2Abi0tDYzS/uX5V0b8DcppSOAE4CPl14flbgu3XWByluXVuDUlNLRwEzgjIg4AfgmnV0OBtYDF2aYsTe66wHw+Z3WZFF2EfvsYuDpnW5X2prs8OoeULlrAq99X6zE32HQ9ft7pf3+AvgucEtK6TDgaDr/XavUNemqC1TQuqSUFu/ICswGtgC/ogLXpIcuUEFrAhARU4BPAXUppSPpvIjS+6iw95UeekCFva9ExJHAR4Dj6Hy9nxkRB1OBr5UeukBlvFauovd/b/xzYEbpYy7w72XKWFYOlbJ1HLAspfRsSmkbMA94Z8aZBqWU0u+AV1519zuBq0ufXw2cVdZQu6mbLhUnpbQ6pfRw6fMmOv9jeQoVuC49dKk4qVNz6WZ16SMBpwLXl+7P/br00KMiRcRU4O3A5aXbQYWtCby2R0FV3O+wooiIscCbgCsAUkrbUkobqMA16aFLJTsNWJ5Sep4KXJNX2blLpRoKjIyIocAoYDUV+L7Ca3u8lHGe3XU48EBKaUtKqQ24G3gXlfla6a5LRejj3xvfCfyk9N+dfwDGRcTk8iQtH4dK2ZoCvLjT7ZVU6F80SxJwW0QsjIi5WYfpB7UppdWlz9cAtVmG6QefKB12+eNKOTR2h4iYDswCHqDC1+VVXaAC1yU6T09aBKwFbgeWAxtK/2EAFfK77NU9Uko71uTrpTW5NCKGZxixL/4F+ALQUbo9gQpcE17bY4dKXBPo+n2xEn+Hdff+Xmm/vw4AXgaujM5TLC+PiNFU5pp01wUqb112eB9wbenzSlyTne3cBSpsTVJKq4BLgBfoHCZtBBZSYe8rXfVIKd1W+nKlva88AZwSERMiYhTwNmAalfla6a4LVNhrZSfdrUPR/r7fJYdK6k8np5SOofMwv49HxJuyDtRfUudlEiv2KAY6D7U8iM7TfFYD/5xtnN6LiBrgl8CnU0qbdv5apa1LF10qcl1SSu2lw/un0nnE5WEZR9otr+5ROhz7S3T2ORYYD/xthhF7JSLOBNamlBZmnWVP9NCj4tZkJz2+L1bQ77CuelTi76+hwDHAv6eUZgGbedWpIhW0Jt11qcR1obQ3zzuA/3z11ypoTYAuu1TcmpT+Mv9OOoeX+wGj6XprhVzrqkdEfIAKfF9JKT1N5+mHtwG3AIuA9lc9piJeKz10qbjXSlcqZR36k0OlbK3ij1NZ6PyLzaqMsuyx0v8NIKW0ls5zyI/LNtEea9hxeGLpz7UZ59ltKaWG0l+gO4AfUSFrExHVdA5hfpZSuqF0d0WuS1ddKnVddiidanEX8EY6D+cdWvpSRf0u26nHGaVTFVNKqRW4kspYk5OAd0TEc3SeRn0qnXutVNqavKZHRPy0QtcE6PZ9seJ+h3XVo0J/f60EVu50VOL1dA5mKm5N6KZLha4LdA4sH04pNZRuV+Ka7PAnXSp0TU4HVqSUXk4pbQduoPN3dKW9r3TV48RKfV9JKV2RUpqdUnoTnXtaLaFCXytddanQ18oO3a1Dof6+3x2HStl6CJgRnVdSGEbnobI3Zpxpt0TE6IgYs+Nz4K10HtpYyW4Ezit9fh7w6wyz7JFXnbv7l1TA2pT2hLkCeDql9J2dvlRx69Jdlwpdl30iYlzp85HAW+jcI+ou4OzSw3K/Lt30eGan/yAIOs+Hz/2apJS+lFKamlKaTuf7yJ0ppfdTYWvSTY8PVOKaQI/vixX1O6y7HpX4+yultAZ4MSIOLd11GvAUFbYm0H2XSlyXknP409PFKm5NdvInXSp0TV4AToiIUaXfvTteKxX1vkLXPZ6u4PeVSaU/X0fnHkQ/p0JfK111qdDXyg7drcONwLnR6QQ6T8Fc3dUPqGTReXSWshKdl0r8FzqvRvDjlNLXM460WyLiQP54hYuhwM8rqUtEXAvUAxOBBuAfgP8CrgNeBzwPvDellPsNsLvpUk/noaQJeA74aN5/oUXEycA9wOP8cX+Vv6NzL6KKWpceupxD5a3LUXRuQFhF5/+YuC6l9LXS74B5dB5G/gjwgdL/AcylHnrcCewDBJ2HY1+U/rihd+5FRD3wuZTSmZW2Jjt7VY+KXJPu3hcjYgIV9Dushx7XUGG/vwCi89LhlwPDgGeBCyj9DqBC1mSHbrp8jwpbl9Kw8gXgwJTSxtJ9FfU62aGbLpX6Wvkq8Fd0XsH2EeDDdO4FU1HvK930uJnKfF+5h849E7cDn00p3VHBr5WuulTEa6Uvf28sDS5/QOfpo1uAC1JKC7LIPZAcKkmSJEmSJKnPPP1NkiRJkiRJfeZQSZIkSZIkSX3mUEmSJEmSJEl95lBJkiRJkiRJfeZQSZIkSZIkSX3mUEmSJKmMIuLTETFqp9u/jYhxpc9zf1lrSZKkHSKllHUGSZKkQSMingPqUkqNXXytOaVUU/5UkiRJfeeRSpIkSTuJiP8VEUsi4t6IuDYiPhcR8yOirvT1iaXBEBExPSLuiYiHSx8nlu6vL33P9RHxTET8LDp9CtgPuCsi7io99rmImNhFjs9HxEMR8VhEfLV03+iI+L8R8WhEPBERf1WmfyySJEmvMTTrAJIkSXkREbOB9wEz6fzvpIeBhT18y1rgLSmlloiYAVwL1JW+Ngt4PfAScB9wUkrpexHxWWBOV0cq7ZTjrcAM4DgggBv/Xzv382JTGMdx/P1JijLNigUbCwts1FiPsmBBysISCwtl6T+QlDSzVtjaICmlhrKxUaP8aP4BC40sMSbCfC3uqXtKuvfhambxftWpp+f7nOfH7vQ933OSHAK2A8tVdbwbN/3Xh5UkSfpHVipJkiQNzQIPqmq1qj4BD0eM3wzcSrIE3AP292KLVfWuqtaA18Duhn0c7a5XDBJbexkkmZaAI0muJZmtqo8Nc0qSJE2UlUqSJEmj/WD4Mm5Lr/8i8AE40MW/9mLfeu2ftD13BbhaVTd+CyQzwDHgSpKnVXW5YV5JkqSJsVJJkiRp6BlwMsnWJFPAia7/LXCwa5/qjZ8G3nfVSGeATWOs8RmYGjHmMXAuyTaAJLuS7EiyE1itqtvAHDAzxnqSJEn/hZVKkiRJnap6meQO8IbB/5JedKF54G6S88Cj3i3XgftJzgILwJcxlrkJLCRZrqrDf9jHkyT7gOdJAFaA08AeYC7JGvAduNB6RkmSpElJVa33HiRJkjakJJeAlaqaX++9SJIkbTR+/iZJkiRJkqRmVipJkiRJkiSpmZVKkiRJkiRJamZSSZIkSZIkSc1MKkmSJEmSJKmZSSVJkiRJkiQ1M6kkSZIkSZKkZiaVJEmSJEmS1OwXiVvuMrzqx0sAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7eff237bab38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import csv\n",
    " \n",
    "with open(\"/home/fpopic/Desktop/quantiles\", \"r\") as f:\n",
    "    reader = csv.reader(f)\n",
    "    values = []\n",
    "    for row in reader:\n",
    "        if len(row) == 2:\n",
    "            values.append(int(row[1]))\n",
    "            \n",
    "print(\"values =\",values)\n",
    "\n",
    "plt.figure(figsize=(20,10))\n",
    "\n",
    "plt.xlabel(\"quantiles\")\n",
    "plt.ylabel(\"TAF events per user\")\n",
    "plt.title(\"\"\"TAF events per user distribution,\n",
    "            e.g. median is 50th quantile from 25th to 75th quantile there is 50% of data\"\"\")\n",
    "\n",
    "plt.ylim([0,40]) # to avoid showing outlier 145365 on y axes\n",
    "\n",
    "plt.xticks(np.arange(0,105,5))\n",
    "plt.yticks(np.arange(0,105,5))\n",
    "\n",
    "x = np.arange(101)\n",
    "plt.plot(x,values)\n",
    "\n",
    "plt.grid()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
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