seaborn.ipynb

{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Missing colon in file PosixPath('/home/mz/.config/matplotlib/stylelib/scientific.mplstyle'), line 15 (\"                               'fc4f30', \")\n",
      "Missing colon in file PosixPath('/home/mz/.config/matplotlib/stylelib/scientific.mplstyle'), line 16 (\"                               'e5ae38',\")\n",
      "Missing colon in file PosixPath('/home/mz/.config/matplotlib/stylelib/scientific.mplstyle'), line 17 (\"                               '6d904f',\")\n",
      "Missing colon in file PosixPath('/home/mz/.config/matplotlib/stylelib/scientific.mplstyle'), line 18 (\"                               '8b8b8b',\")\n",
      "Missing colon in file PosixPath('/home/mz/.config/matplotlib/stylelib/scientific.mplstyle'), line 19 (\"                               '810f7c'])\")\n",
      "Bad value in file PosixPath('/home/mz/.config/matplotlib/stylelib/scientific.mplstyle'), line 14 (\"axes.prop_cycle: cycler(color=['008fd5', \"): Key axes.prop_cycle: 'cycler(color=['008fd5',' is not a valid cycler construction: unexpected EOF while parsing (<unknown>, line 1)\n"
     ]
    }
   ],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Draw beautiful graphics to avoid blurred images\n",
    "%config InlineBackend.figure_format = 'retina'"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# seaborn\n",
    "- Seaborn is a Python data visualization library based on matplotlib."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Linechart\n",
    "- Name of a seaborn **palette** (deep, muted, bright, pastel, dark, colorblind)\n",
    "- **set_theme()** - uses the matplotlib rcParam system and will affect how all matplotlib plots look\n",
    "- **context**: affects the size of the labels, lines, and other elements but not the overall style\n",
    "- available contexts: *paper, notebook, talk, poster*\n",
    "- **style** parameters control properties like the color of the background and whether a grid is enabled\n",
    "- styles: *darkgrid, whitegrid, dark, white, ticks*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "gapminder = pd.read_csv('data/gapminder.csv')\n",
    "italy = gapminder[gapminder.country=='Italy']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Gv0+XaCXGtY8Z+H26xigu2v0l8vqd5UHqpn0hWAAAAAAAtIrDaeiNL/M81p09Ji0I3fiHxWzS0L7xbmt+2FUup6e5H50QwQIAAAAAoFW+31SifQU1bmtSEqw6a0xqkDryj2H93AcLpZUO7TrkfheMzohgAQAAAADgNafT0OtfeB6tcOEpGYqKaF+XnMP7tbxzRD2mQzTVvn7KAAAAAICQWrG1VD8dcr/FZGKsRdPGtZ9pEPV6ZkYpJcH9mhDrdhAsHI9gAQAAAADgFcMw9LoXaytcMClD0ZGWIHTkXyaTScM8rLOwcXeFbHZnkDpqHwgWAAAAAABeWbO9XD/ud7/GQHy0RedNSA9SR/43vL/7YKG61qlt+yuD1E37QLAAAAAAAPDKm195Hq3wi5PTFRfd/kYr1GOdhdYjWAAAAAAAeLRpd4U2/FThtiYm0qzpE9vvaAVJykqJVJfUSLc16wgWGiFYAAAAAAB49IYXaytMG5+mhFj3ix+2B8M9bDu5dW+lqmsdQeom/BEsAAAAAADc2nGgUqt+LHNbE2k1acakjCB1FFie1lmwOwxt2s06C/UIFgAAAAAAbr3xVb7HmrPGpColISII3QTesL6e11lYt9N90NKZECwAAAAAAFq0N79a328qcVtjMUsXTc4MUkeBlxxvVZ8u0W5rWMDxGIIFAAAAAECL3voqX4bhvub0kanKTHa/4GF7M8zDOgvbD1SpoKQ2SN2EN4IFAAAAAECzDpfa9NX6I25rzCbp4g40WqGeN9tOfvOD+5EcnQXBAgAAAACgWf9ZViiH033NpJOS1SMjKjgNBdFJfeMUYTW5rfn6B/ehS2dBsAAAAAAAaKLG5tRHKw57rPvlaR1vtIIkxUZZNGZgotuaH/dX6eDhmiB1FL4IFgAAAAAATXy17ohKKxxua8YMTFCfrjFB6ij4Th2a7LFmyQ/FAe8j3FlD3QAAAAAAILwYhqF/fVfosW76xIwgdBM6Y09IUHSkWdW1Lc8HeWXxIe0+VK29+dUym006fUSKzhqTqtgoSxA7DS2CBQAAAABAI+t3lWt3XrXbmp6ZURrR3/3OCe1ddKRF4wcl6qv1xS3WOJ3S1w1GLew8WKXvN5Vo3jV9FWntHJMEOsdXCQAAAADwmjejFc6fmCGTyf3ihh2BN9Mhjrdxd4Xe/irf/82EKYIFAAAAAIDLwcIardha6rYmIcaiqcNTgtRRaI3MSVBcdOsvnVdsc/897EgIFgAAAAAALv/6rkCG4b7mnHFpio7sHJeTkVazTh6S1OrjSjwsfNmRdI5XAgAAAADAo59yq/Shhy0mzWZp2vi0IHUUHk4d2vrRGf27ddzdMo5HsAAAAAAAkNNp6In398vZ8gYIkqRTTkxWRlJkcJoKE8P7xSsxzvtdHqwWk345JTOAHYUXggUAAAAAgP678rC27qv0WHf+xPQgdBNeLBaTJp2Y7FWt2SzdPKOH+nePDWxTYYRgAQAAAAA6uaJSm+Z/nOux7sTecRrUMy4IHYUfb3aHiI0y676r+uqMkamBbyiMECwAAAAAQCf3zw8PqqLa/RwIs1ma+4vuQeoo/JzUJ06De7U8CiErJVKPzh2gkQMSgthVeCBYAAAAAIBObPWPZVryQ7HHugsmZqhv186zIOHxTCaTbp6RrczkiCaPDekdp8fm9levrOgQdBZ61lA3AAAAAAAInTe/yvNYk5kcoZlnZAWhm/DWMzNaT96Qo09WFWnTngrFR1s0KidBpw5NltlsCnV7IUOwAAAAAACdVHG5TRt+qvBY99tf9FB0pPe7InRkiXFWXXxqpi4OdSNhhKkQAAAAANBJrdle7rFm4olJGjcoMQjdoL0iWAAAAACATmrVj6VuH7daTPrNuZ13wUZ4h2ABAAAAADohp9PQ6u1lbmtO7B2n9KSmixUCDREsAAAAAEAntDO3SqUVDrc1o3I639aJaD2CBQAAAADohFb96H60giSNJliAFwgWAAAAAKATWu0hWEhLjFCvrOggdYP2jGABAAAAADqZimqHtux1v83kqJwEmUymIHWE9oxgAQAAAAA6mXU7yuR0uq9hGgS8RbAAAAAAAJ2Mp/UVzCZpeP/4IHWD9o5gAQAAAAA6EcMwPK6vMDA7Vgkx1iB1hPaOYAEAAAAAOpF9BTUqKLG5rWGbSbQGwQIAAAAAdCKeRitI0uicxCB0go6CYAEAAAAAOpGV20rdPp4QY1H/7jFB6gYdAcECAAAAAHQSBSW1Wr+z3G3NyAEJspjZZhLeI1gAAAAAgE5i8eojchrua1hfAa3FMp8AAAAA0AGVVzn0w65yFZbY1K9bjHJ6xOjTVUVuj7GYpTEDCRbQOgQLAAAAANDBfLOhWE/9+4CKy+2tOm7coCQlx0cEqCt0VAQLAAAAANCB/Ou7Av3zPwd9Ovas0al+7gadAcECAAAAAHQAhmFo4ed5Wvh5nk/HpyVaNWoA0yDQegQLAAAAANDOOZ2G/vmfg/r30kKfz3HGyFRZLOwGgdYjWAAAAACAdu7pDw7oP8sOt+kcZzINAj5iu0kAAAAAaMe+2VDc5lBhaN84dUuL8lNH6GwIFgAAAACgnaqxOfX8R74t1NjQWaPT/NANOiuCBQAAAABop97/tkD5xbY2nSMu2qyJJyb5qSN0RgQLAAAAANAOFZXa9OZX+W0+z5ThKYqK4NIQvuPVAwAAAADt0MufHVJ1rbNN5zCZpJ+PZRoE2oZgAQAAAADamR0HKvXZ6iKPdTdM767H5vZXdGTzl37njk9T364x/m4PnQzBAgAAAAC0I4Zh6J8fHpRhuK/rnRWts0en6YSecXr8twPUr9uxAMFiln45JVOzz+kW4G7RGVhD3QAAAAAAwHsrt5Vp408VHuuundZNFotJktQrK1p/vzFHhSU2FZfblJ0ZzboK8BuCBQAAAABoR977psBjzdgTEjVyQEKT+9OTIpSeFBGIttCJEVEBAAAAQDvxU26V1u8qd1tjMUvXntM1SB0BBAsAAAAA0G78e2mhx5pzx6erR0Z0ELoB6hAsAAAAAEA7UFJh1xdrj7itibCa9MspWUHqCKjTKYOFgQMHauDAgVq+fHmoWwEAAAAAr3y88rBq7e63gpgyPEXJ8Sylh+AK2Ctu48aN+uKLL7Rhwwbt2bNHRUVFqq6uVnJysgYNGqRzzz1X5513nsxm99nGZ599ptdff12bNm1SVVWVunbtqilTpmjOnDlKTU0NVPsAAAAAEDbsDkMfLD3ssW76yelB6AZoLGDBwltvvaU333zTdTs2NlYREREqKChQQUGBlixZonfeeUdPP/204uPjmz3Hvffeq4ULF0qSLBaLoqOjtXv3bs2fP18ffPCBFixYoH79+gXqSwAAAACAsPD9phIdLrW5rRnaN059usYEqSPgmIBNhRg+fLjuvPNOvfPOO1q9erXWrl2rtWvX6vvvv9fvfvc7WSwWrVixQg888ECzx7/11ltauHChTCaTbrnlFq1evVpr1qzRokWLlJOTo8LCQs2dO1e1tbWB+hIAAAAAICws+t7zFpPnn5wRhE6ApgIWLMyYMUNXXXWVTjrppEYjEtLS0nTdddfp2muvlSR98MEHstkaJ2+1tbV64oknJEmXX3655s6dq5iYuuTthBNO0DPPPKOYmBjt2bNHb7/9dqC+BAAAAAAIuR0HKrV5T6XbmqyUSI0blBikjoDGQrZ449ChQyVJ1dXVKikpafTY0qVLVVBQIJPJpNmzZzc5tnv37po2bZqkumDCn6qqqjR79mwNHDhQp512mnbt2uXX8wMAAABAa3yzocRjzXkT0mQxm4LQDdBUyIKFtWvXSqpbeyEtLa3RY8uWLZMk9e/fX127dm32+EmTJkmS1q1bp8pK9+mdt0pKSjRr1ix988036tu3r15//XX17dvXL+cGAAAAAF9s2+f+eic60qyzRqe5rQECKaj7kFRVVengwYP697//rRdeeEGSNHPmTJlMjZO1nTt3SpIGDBjQ4rlycnIkSYZhaNeuXTrxxBPb1Ft+fr6uueYa/fjjjxoyZIief/55dp0AAAAAEFJOp6HtB9wHC6cNS1Z8jCVIHQFNBTxYKC0t1ZgxY5rcHxERoSuuuEI333xzk8cKCuoWJsnMzGzxvA0fq6/31d69ezVr1izt379fY8eOdbtThTvz58/X/Pnzva5va98AAAAAOraDh2tVWeN0W3NSn9ZfuwD+FPBgwWw2Kz29bi/VsrIy1dTUyGQy6YorrtDVV18tq7VpC/VTG6Kjo1s8b8PHKioqfO5v69atuuaaa1RYWKipU6fq8ccfV1RUlE/nKi8vV15ens+9AAAAAEBDOzyMVpCkAd3ZYhKhFfBgIT4+Xt99952kumkLBw4c0IIFC7RgwQK99957+sc//qHRo0cHuo1mrVq1SvPnz1dZWZmmT5+uefPmNRt0eCs+Pl5ZWVle1xcUFMjpdJ8+AgAAAOi8th+ocvt4TKRZ3dN9+8Uo4C9BXWPBZDKpR48euuuuu9S9e3f95S9/0e9+9zt98sknru0kpboFHaW6HSNa0vCxuLg4n/qp39JyxIgReuCBB5qs9dBas2bN0qxZs7yunzx5MiMcAAAAALToRw8jFvp3j5GZ3SAQYiHbFeKXv/ylIiMjlZeXpyVLljR6rH79hPz8/BaPb/hYRkaGTz3Ub1m5du1avfjiiz6dAwAAAAACwek0tNPDiIUB3WOD1A3QspAFC1FRUUpOTpZUt3hiQ/369ZMk7dixo8Xjt2/fLqluFISvW0JeeumluvvuuyVJDz30kF566SWfzgMAAAAA/nagsEZVte6nTrO+AsJByIKFiooKHTlyRNKxqQ/1xo8fL6kuPDh06FCzx3/77beSpOHDhzc5vjWuuOIK3XnnnZKk+++/XwsWLPD5XAAAAADgL57WV5CkAT0YsYDQC0iw4HA4ZBiG25qXXnpJNptNkppsRzl+/HhlZGTIMAw9//zzTY7Nzc3Vhx9+KEk677zz2tzvVVddpTvuuEOSNG/ePC1cuLDN5wQAAACAttjuYX2F2CizuqZGBqkboGUBCRZyc3M1Y8YMvf322zp48KDrfsMwtHPnTt1777168sknJUlnnnmmcnJyGh0fGRmpm266SZL06quv6tlnn3Ut1rh161Zdd911qqysVK9evXTxxRf7pedZs2bp9ttvlyTdd999ev311/1yXgAAAADwhacRCwO6x7JwI8JCwHaF2Lx5s2v9gqioKMXGxqqyslI1NTWumilTpujBBx9s9vhLLrlEW7Zs0WuvvaZHHnlEf/vb3xQdHa3y8nJJUnp6up5++mlFRvovoZs9e7acTqceeeQR3XPPPbJYLLrkkkv8dn4AAAAA8IbDaWiHp2ChB+srIDwEJFjIzMzUY489pmXLlmnDhg0qKCjQkSNHFBkZqT59+mjo0KE677zzdMopp7g9z5/+9CedfPLJeu2117R582bXKIWpU6dqzpw5Sk1N9Xvvc+bMkcPh0OOPP64//vGPMpvNuuiii/z+PAAAAADQkv0FNaqxeVq4kfUVEB5MhqfFEBAwkydPVl5enrKysppsuQkAAACg81q8pkiPvL3Pbc0Lt52gbmlRQeoIHUUgrkNDtisEAAAAAKB52/e7nwYRH21h4UaEDYIFAAAAAAgzOw663xFiQI8YmUws3IjwQLAAAAAAAGHE4TC086D7EQv9u7NwI8IHwQIAAAAAhJG9BdWqsblfCo+FGxFOCBYAAAAAIIx42mZSknJ6ECwgfBAsAAAAAEAY8TQNIiHGoszkiCB1A3hGsAAAAAAAYWRvfrXbx/t3Z+FGhBeCBQAAAAAII/sKatw+3isrOkidAN4hWAAAAACAMFFR7VBhic1tTc9MggWEF4IFAAAAAAgT+zxMg5AIFhB+CBYAAAAAIEzszXc/DUKSemZGBaETwHsECwAAAAAQJjwt3JiSYFVCrDVI3QDeIVgAAAAAgDDhaSpEzwymQSD8ECwAAAAAQJjwNBWCaRAIRwQLAAAAABAGqmsdyiuudVvDwo0IRwQLAAAAABAG9hfUyDDc1/TMIlhA+CFYAAAAAIAwwI4QaK8IFgAAAAAgDHjaESIhxqKkOHaEQPghWAAAAACAMOApWOiZFS2TyRSkbgDvESwAAAAAQBhgRwi0VwQLAAAAABBitXancg97ChZYuBHhiWABAAAAAELsQGGNnB52hMjOIFhAeCJYAAAAAIAQ87S+giT1zGIqBMITwQIAAAAAhNg+D+srxESZlZ4YEaRugNYhWAAAAACAEPO4I0QmO0IgfBEsAAAAAECIsSME2jOCBQAAAAAIIbvD0IFCdoRA+0WwAAAAAAAhlHu4RnaH+y0hCBYQzggWAAAAACCE9ha4H60gMRUC4Y1gAQAAAABCaMeBSrePR0WYlJkcGaRugNYjWAAAAACAENr4U4Xbx7MzomU2syMEwhfBAgAAAACESK3Nqa373I9YGNQzNkjdAL4hWAAAAACAENm2v9Ljwo0n9okPUjeAbwgWAAAAACBEPE2DkKQTe8cFoRPAdwQLAAAAABAiG34qd/t497RIpSZGBKkbwDcECwAAAAAQAnaHoS173a+vwDQItAcECwAAAAAQAjsPVqm61um25sQ+TINA+CNYAAAAAIAQ8DQNQpJOYsQC2gGCBQAAAAAIgY273S/cmJEUocxk1ldA+CNYAAAAAIAgczoNbfIQLJzYJ04mkylIHQG+I1gAAAAAgCDbk1+t8iqH2xoWbkR7QbAAAAAAAEG28Sf3oxUk6aTeLNyI9oFgAQAAAACCbKOHhRuT4qzqkREVpG6AtiFYAAAAAIAgMgxDG1hfAR0IwQIAAAAABNGBwlodKbO7rWEaBNoTggUAAAAACKLP1xZ5rGHhRrQnBAsAAAAAECS1Nqc+WnHYbU1ctFm9u0QHqSOg7QgWAAAAACBIvlpfrNIK99tMjuifIIuZ9RXQfhAsAAAAAEAQGIahRd8XeKz7+di0IHQD+A/BAgAAAAAEwcbdFdqVW+22JjszSiP6s74C2heCBQAAAAAIgkXfF3qsOf/kdLaZRLtDsAAAAAAAAZZfXKulm0rc1sRHW3T6iJQgdQT4D8ECAAAAAATYB0sL5TTc15w1JlXRkZbgNAT4EcECAAAAAARQjc2pj1cWua0xm6TzJqQHqSPAvwgWAAAAACCAVm0rVXmV+y0mxw9OUlZKZJA6AvyLYAEAAAAAAug7D2srSHWLNgLtFcECAAAAAASIze7Uiq2lbmt6d4nWSX3igtQR4H8ECwAAAAAQID/sKldFtdNtzWnDktliEu0awQIAAAAABIg30yAmDkkKQidA4BAsAAAAAEAAOJyGlm52Pw2iZ2aUemREB6kjIDAIFgAAAAAgALbsqVBxud1tDaMV0BEQLAAAAABAAHgzDeLkEwkW0P4RLAAAAACAnxmGoe89BAtZKZHq1zUmSB0BgUOwAAAAAAB+tuNglfKLbW5rTh6cyG4Q6BAIFgAAAADAz77byDQIdB4ECwAAAADgZ56mQaTEWzWoZ1yQugECi2ABAAAAAPzoQGGN9hXUuK2ZMDhJFjPTINAxECwAAAAAgB9t3lPhseZktplEB0KwAAAAAAB+tHVvpdvHY6PMGtqXaRDoOAgWAAAAAMCPtu5zP2LhhJ6xirByKYaOg1czAAAAAPhJda1Duw9Vu605IZvRCuhYCBYAAAAAwE9+3F8lp+G+5oSescFpBggSggUAAAAA8JOt+9yvryBJA3sQLKBjIVgAAAAAAD/Zutf9+grd06OUGGcNUjdAcBAsAAAAAIAfGIbhccTCCdmMVkDHQ7AAAAAAAH6QX2zTkTK72xrWV0BHRLAAAAAAAH7gaZtJiREL6JgIFgAAAADAD7btdT8NIirCpN5dYoLUDRA8BAsAAAAA4Aee1lcY0D1WVospSN0AwUOwAAAAAABtVGt3asfBKrc1rK+AjopgAQAAAADa6Kfcatnshtsa1ldAR0WwAAAAAABttHWvFws39owLQidA8BEsAAAAAEAbeVpfISMpQmmJEUHqBgguggUAAAAAaIPqWqc2/OR+xALrK6AjI1gAAAAAAB/ZHYbmLdytw6U2t3UDWV8BHRjBAgAAAAD4wOk09Mjbe7XqxzKPtSdks74COi6CBQAAAABoJcMw9Mx/Duir9cUea6MiTOrfPSbwTQEhQrAAAAAAAK306uI8fbD0sFe1U4anKCqCSy90XLy6AQAAAKAV3lmSr9e+yPOqtkdGlK75ebcAdwSEFsECAAAAAHjpoxWH9cJ/c72qTU+K0Lyr+yo+xhLgroDQIlgAAAAAAC98ue6I/v6v/V7VJsZaNO/qvspMjgxwV0DoESwAAAAAgAdLfijWX9/eK8PwXBsdada9V/VVz8zowDcGhAFrqBsAAAAAgHD25boj+utbe+X0IlSwWkz64xW9NTA7NvCNAWGCYAEAAAAAWrB4TZEee2efV6GC2Szd+ateGtE/IfCNAWGEYAEAAAAAmvHJqsP623v7vZr+YDJJv7+op04ekhT4xoAwwxoLAAAAAHCcXblVevJ970IFSbr+/O6aOiIlsE0BYYpgAQAAAACO89S/D8jh9K726rO7atq49MA2BIQxggUAAAAAaGB/QbU27a7wqnbWWV108amZAe4ICG+ssQAAAAAADXyxrtirutnndNWFpxAqAAQLAAAAAHCUYRj6cu0Rj3XXndtN0ydmBKEjIPwxFQIAAAAAjtqyt1KHjtS6rZkyPJlQAWiAYAEAAAAAjvrCi9EKZ4xMDUInQPtBsAAAAAAAkmx2p5b8UOy2JiXBqmH94oPTENBOECwAAAAAgKRVP5aprMrhtmbKsBRZzKYgdQS0DwQLAAAAACDvpkFMGZEc+EaAdoZgAQAAAECnV17l0PKtpW5remZGqV/XmCB1BLQfBAsAAAAAOr3vNhbLZjfc1kwdkSKTiWkQwPEIFgAAAAB0el97WLRRkk4blhL4RoB2iGABAAAAQKfmcBjavKfCbc2JfeKUlRIZpI6A9oVgAQAAAECntregWjU299MgpgxntALQEoIFAAAAAJ3a9v1VHmtGDUgIQidA+0SwAAAAAKBT+3F/pdvHE2MtykyOCFI3QPtDsAAAAACgU9t+wH2wkNMjlt0gADcIFgAAAAB0Wja7U7tyq93WDOgeE6RugPaJYAEAAABAp7Unr1p2h/uFGwf0iA1SN0D7RLAAAAAAoNP68YDnhRsHdCdYANwhWAAAAADQaW33sHBjSoJVaYnWIHUDtE8ECwAAAAA6re0eRiwM6M7CjYAnBAsAAAAAOqVam1O7D7kPFnJYuBHwiGABAAAAQKe0K7dKDqf7GhZuBDwjWAAAAADQKXmaBiGx1STgDYIFAAAAAJ3S9gPuF27MSIpQSkJEkLoB2i+CBQAAAACd0vb9HhZuZBoE4BWCBQAAAACdTnWtQ3vzq93WMA0C8A7BAgAAAIBOZ+fBajkN9zUDujNiAfAGwQIAAACATsfT+goSIxYAbxEsAAAAAOh0PK2v0CUlUolx1iB1A7RvBAsAAAAAOhXDMLThp3K3NQN6MFoB8BbBAgAAAIBOZefBKhWU2NzWsL4C4D2CBQAAAACdytLNpR5rTuwTF4ROgI6BYAEAAABAp7JsS4nbx1PirRrYgxELgLcIFgAAAAB0GnlHarUrt9ptzbhBiTKbTUHqCGj/CBYAAAAAdBrLNrsfrSBJ4wclBaEToOPolMHCwIEDNXDgQC1fvjzUrQAAAAAIoqVb3K+vEBVh1vD+8UHqBugYArYxa25urj799FMtW7ZM27ZtU35+viIiItStWzdNmDBBV155pbKzsz2e57PPPtPrr7+uTZs2qaqqSl27dtWUKVM0Z84cpaamBqp9AAAAAB1MWZXd4zaTo3ISFBXRKX//CvgsIMFCbm6upkyZIsMwXPfFx8erpqZGO3bs0I4dO/T222/r/vvv1znnnNPiee69914tXLhQkmSxWBQdHa3du3dr/vz5+uCDD7RgwQL169cvEF8CAAAAgA5m5dYyOZ3ua8YPSgxOM0AHEpAozuFwSJJOOeUUPfroo1q6dKlWr16tdevW6dVXX9XAgQNVXV2tP/zhD9q2bVuz53jrrbe0cOFCmUwm3XLLLVq9erXWrFmjRYsWKScnR4WFhZo7d65qa2sD8SUAAAAA6GCWelhfwWySxp5AsAC0VkCChaSkJL3//vt6/vnnNW3aNNeUBavVqjFjxujFF19UamqqbDabXnrppSbH19bW6oknnpAkXX755Zo7d65iYmIkSSeccIKeeeYZxcTEaM+ePXr77bcD8SUAAAAA6EBq7U6t/rHMbc2Q3nFKigvYbHGgwwpIsJCQkKBBgwa1+Hh6erpOPfVUSdKmTZuaPL506VIVFBTIZDJp9uzZTR7v3r27pk2bJkn64IMP/NR1naqqKs2ePVsDBw7Uaaedpl27dvn1/AAAAACCb/3OclXVup8HMWEwu0EAvgjZqiQpKSmSjk2baGjZsmWSpP79+6tr167NHj9p0iRJ0rp161RZWemXnkpKSjRr1ix988036tu3r15//XX17dvXL+cGAAAAEBq1dqcWfHrIY934wUyDAHwRsmBhxYoVkqQBAwY0eWznzp0tPlYvJydHkmQYhl9GFeTn52vmzJlau3athgwZooULF7YYagAAAABoP176OFc7Dla5remdFa2uqVFB6gjoWEIygWjx4sXauHGjJGnGjBlNHi8oKJAkZWZmtniOho/V1/tq7969mjVrlvbv36+xY8fq6aefVnx86/eunT9/vubPn+91fVv7BgAAAODeiq2lev+7Qo91jFYAfBf0YOHgwYP6v//7P0nS6aefrsmTJzepqZ/aEB0d3eJ5Gj5WUVHhcz9bt27VNddco8LCQk2dOlWPP/64oqJ8SyrLy8uVl5fncy8AAAAA/KewxKZH3tnrsc5sls4YmRqEjoCOKajBQmlpqX7zm9+oqKhI2dnZ+stf/hLMp29i1apVmj9/vsrKyjR9+nTNmzdPVqvv35L4+HhlZWV5XV9QUCCnp410AQAAALSaYRj661t7VVrRdE23400bl6bu6UyDAHwVtGChoqJC1157rbZt26bMzEzNnz9fycnJzdbGxsZKkqqrq1s8X8PH4uLifOqpfkvLESNG6IEHHpDJZPLpPPVmzZqlWbNmeV0/efJkRjgAAAAAAbBme7nW7yr3WNe7S7Su+Xm3IHQEdFxBWbyxqqpK1113ndatW6fU1FS99NJLys7ObrG+fv2E/Pz8FmsaPpaRkeFTX/VbVq5du1YvvviiT+cAAAAAEH4+XnnYY01UhFl3/qqXoiJCtqY90CEE/B1UXV2t3/zmN1q5cqWSkpI0f/589evXz+0x9Y/v2LGjxZrt27dLkkwmk89bQl566aW6++67JUkPPfSQXnrpJZ/OAwAAACC8bNnreR22ued1U8/Mltd1A+CdgAYLtbW1uv7667Vs2TLFx8fr+eef1wknnODxuPHjx0uqCw8OHWp+v9lvv/1WkjR8+HDX1AlfXHHFFbrzzjslSffff78WLFjg87kAAAAAhF5hiU2HS+1uayYPTdaZo1mwEfCHgAULNptNN910k7799lvFxsbq2Wef1dChQ706dvz48crIyJBhGHr++eebPJ6bm6sPP/xQknTeeee1uderrrpKd9xxhyRp3rx5WrhwYZvPCQAAACA0ftxf6bHmwlMy2rzGGoA6AQkWHA6Hfv/73+vLL79UdHS0nn76aY0aNcrr4yMjI3XTTTdJkl599VU9++yzrsUat27dquuuu06VlZXq1auXLr74Yr/0PGvWLN1+++2SpPvuu0+vv/66X84LAAAAILg8BQtWi0l9ujAFAvCXgOwKsWbNGn3yySeSJKfTqd///vdu67/77rsm911yySXasmWLXnvtNT3yyCP629/+pujoaJWX163smp6erqefflqRkZF+63v27NlyOp165JFHdM8998hiseiSSy7x2/kBAAAABJ6nYKFf1xhFWFmwEfCXgAQLTqfT9Xltba0KCwt9Os+f/vQnnXzyyXrttde0efNm1yiFqVOnas6cOUpN9f+cqDlz5sjhcOjxxx/XH//4R5nNZl100UV+fx4AAAAAbWd3GPpmQ7FKKuyKiTLr1KHJHoOFnOyYIHUHdA4mwzCMUDfRWU2ePFl5eXnKysrSkiVLQt0OAAAA0K5s21eph97co4OHa1t13O8vztYZI1m4EZ1TIK5DAzJiAQAAAAACqbrWoQff2KPcotaFCpI0sIfvu8oBaIqJRQAAAADanUXfF/oUKsRGmdU9PSoAHQGdF8ECAAAAgHbFMAx9tvqIT8cO6BErs5ltJgF/IlgAAAAA0K5s21epA4U1Ph2b04OFGwF/I1gAAAAA0K4sXuPbaAWJ9RWAQCBYAAAAANBu1Nqd+vqHYp+Pz8kmWAD8jWABAAAAQLuxfEupyqscPh2bkmBVemKEnzsCQLAAAAAAoN34fG3bpkGYTCzcCPgbwQIAAACAdqG43KZV20p9Pj6H9RWAgCBYAAAAANAufLmuWA6n78cTLACBQbAAAAAAoF1YvKaoTcez1SQQGAQLAAAAAMLeT4eqtCu32ufju6VFKiHW6seOANQjWAAAAAAQ9lZs9X1tBYlpEEAgESwAAAAACHvb9lW26fgpw1P81AmA4xEsAAAAAAh7P+53HyxMGZ6sE3vHNfvYib3jNDonIRBtARDBAgAAAIAwV1hi0+FSu9uawb3i9McreuucsWkymerui4ow68zRqbpvVl+ZzaYgdAp0TqxeAgAAACCsbfMwWkGSBmbHKiHWqhsv6KHrzu2mwhKb0pIiFBXB71KBQCNYAAAAABDWtnsIFqwWk3pnRbtuR0aY1S09KtBtATiK+A4AAABAWPO0cGO/bjGKsHJpA4QK7z4AAAAAYcvpNLT9gPtgIadHTJC6AdAcggUAAAAAYevg4RpVVDvd1gzsERukbgA0h2ABAAAAQNj6cX+Vx5ocggUgpAgWAAAAAIQtT+srxEaZ1Z2FGoGQIlgAAAAAELZ+9LAjxIAesTKbTUHqBkBzCBYAAAAAhCWb3amdue6nQrC+AhB6BAsAAAAAwtLuvGrZ7IbbGnaEAEKPYAEAAABAWPI0DUKScrIZsQCEGsECAAAAgLDkaeHG1ASr0hMjgtQNgJYQLAAAAAAIS9s9bDWZ0yNWJhMLNwKhRrAAAAAAIOxU1Ti0N7/abQ3TIIDwQLAAAAAAIOxs3Vcpp/t1G5XTnWABCAcECwAAAADCimEYevPLfI917AgBhAeCBQAAAABhZc32Mq3fVe62pltapBJirUHqCIA7BAsAAAAAwobTaejFj3M91o07ITEI3QDwBsECAAAAgLCx5Idi7cp1v2ij1WLSeSenB6kjAJ4QLAAAAAAICza7Uy9/dshj3c/HpqpralQQOgLgDYIFAAAAAGHho+WHdaio1m1NdKRZv5qSFaSOAHiDYAEAAABAyH2y8rCe/eigx7oZkzKUkhARhI4AeItlVAEAAACEjGEYev2LfL2y2PMUiMQ4i2ackhGErgC0BsECAAAAgJBwOg39498H9NHyw17V/2pKluKiLQHuCkBrMRUCAAAAQEgs+OyQ16FCVkqkzhmXFuCOAPiCYAEAAABA0B0utendbwq8rr92WjdFWrl8AcIR70wAAAAAQffluiOyOwyvai+bmqWJQ5IC3BEAX7HGAgAAAICg+3LdEY81JpM0Z1o3TZ/Igo1AOCNYAAAAABBUPx2q0q7carc1VotJt1/SU5OHJgenKQA+YyoEAAAAgKDyZrTCzTN6ECoA7QTBAgAAAICgcToNfbmu2G1NXLRZk09KDko/ANqOYAEAAABA0GzcXaHCEpvbmlNOSlZkBJcqQHvBuxUAAABA0Hyx1vM0iCnDU4LQCQB/IVgAAAAAEBS1Nqe+2VDstiYjKUIn9o4LTkMA/IJgAQAAAEBQLN9aqsoap9uaKcNTZDabgtQRAH8gWAAAAAAQFN7sBjF1BNMggPaGYAEAAABAwJVV2bVyW5nbmn7dYtQrKzpIHQHwF4IFAAAAAAG3fEup7A7Dbc1UFm0E2iWCBQAAAAAB9/2mErePm03SqcOSg9MMAL8iWAAAAAAQUNW1Dq3+0f00iJP6xCstMSJIHQHwJ4IFAAAAAAG16scy1drdT4M4eUhSkLoB4G8ECwAAAAAC6ruN7qdBSNKEIYlB6ARAIBAsAAAAAAgYm92pFVtL3dYM7BGrjKTIIHUEwN8IFgAAAAAEzPqd5aqscbqtOflEpkEA7RnBAgAAAICA+c7DbhCSdPJgggWgPSNYAAAAABAQDqehZVvcT4PolRWtHhlRQeoIQCAQLAAAAAAIiC17KlRcbndbw24QQPtHsAAAAAAgILyaBsFuEEC7R7AAAAAAwO8Mw9D3HoKFrJRI9esaE6SOAAQKwQIAAAAAv9uTV638YpvbmolDkmQymYLUEYBAIVgAAAAA4Hert5d5rJnANAigQyBYAAAAAOB3q390Hywkxlk0qGdckLoBEEgECwAAAAD8qsbm1MbdFW5rRvZPkMXMNAigIyBYAAAAAOBXG38ql81uuK0ZlZMQpG4ABBrBAgAAAAC/8jQNQqobsQCgYyBYAAAAAOBXa3aUu328T5dopSZGBKkbAIFGsAAAAADAbwpKarUnr9ptDdMggI6FYAEAAACA36zxYpvJkQMIFoCOhGABAAAAgN+s2e5+GkRUhElDerHNJNCRECwAAAAA8AuH09BaDyMWTuoTr8gILkOAjoR3NAAAAAC/2HGgSmVVDrc1TIMAOh6CBQAAAAB+4c36CizcCHQ8BAsAAAAA/GK1h2AhPSlC2RlRQeoGQLAQLAAAAABos+Jyu7bsrXBbM2pAgkwmU5A6AhAsBAsAAAAA2mzJD8VyOt3XMA0C6JgIFgAAAAC02Zfrjrh93GyWhveLD1I3AIKJYAEAAABAmxwsrNHWfZVua0b2T1BCrDVIHQEIJoIFAAAAAG3iabSCJE0ZnhKETgCEAsECAAAAAJ8ZhuExWIiKMGvC4MQgdQQg2AgWAAAAAPjsx/1VOnC41m3NyUMSFRNlCVJHAIKNYAEAAACAz75Y63kaxFSmQQAdGsECAAAAAJ/YHYa+/qHYbU1yvFUj+rPNJNCRESwAAAAA8MnaHWUqqbC7rTl1aLIsFlOQOgIQCgQLAAAAAHzizTQIdoMAOj6CBQAAAACtVlHt0NLNJW5ruqdFKqdHTJA6AhAqBAsAAAAAWu2bDcWqsRlua6aMSJHJxDQIoKMjWAAAAADQap+tLvJYM2UY0yCAzoBgAQAAAECr7C+o1uY9lW5rBveKVbf0qCB1BCCUCBYAAAAAtMriNZ4XbTxzVGoQOgEQDggWAAAAAHjN4TQ8BgtREWadMjQ5OA0BCDmCBQAAAABeW7u9TIdLbW5rJp2YpNgoS5A6AhBqBAsAAAAAvObNoo0/YxoE0KkQLAAAAADwSlmlXd9vLnVbk5USqZP6xAWpIwDhgGABAAAAgFf+vbRQdofhtuZnI1NkNpuC1BGAcECwAAAAAMCjf39fqFcX53msO4NpEECnYw11AwAAAADC26LvCvTMfw56rBvWL15ZKZFB6AhAOGHEAgAAAIAWeRsqSHXTIAB0PoxYAAAAANCsd5bk64X/5npVm5kcoYknJge2IQBhiWABAAAAQBOvfZ6nVxYf8qrWZJJunN5D0ZEMiAY6I4IFAAAAAC6GYWjBZ4f0xpf5XtWbTNLNM3po9MDEAHcGIFwRLAAAAABwaW2ocMuMbJ05mp0ggM6MYAEAAACAJGnVttJWhQq3Xpitn7G9JNDpMQkKAAAAgAzD0Asfe7dQI6ECgIYYsQAAAABAK7aWafehao91ZrN028U9NWU4W0sCqEOwAAAAAHRyhmHojS/zPNZZzNIdv+qlSWwrCaABggUAAACgk9vwU4W27qt0W2O1mPS/l/fS+EFJQeoKQHvBGgsAAABAJ+fNaIWLT80kVADQLIIFAAAAoBPbtq9Sa3eUu62JjjRr+snpQeoIQHtDsAAAAAB0Ym9+5Xm0wjlj05QYxyxqAM0jWAAAAAA6qT151Vq6udRtjdVi0gWTMoLUEYD2iGABAAAA6KTe/SbfY83PRqUoPSkiCN0AaK8IFgAAAIBOqKjMpi/XFbutMZukiyZnBqchAO0WwQIAAADQCX247LDsDsNtzeShyeqWFhWkjgC0VwQLAAAAQCdTY3PqP8sLPdZdchqjFQB4RrAAAAAAdDJfrjui0gqH25oR/ePVp0tMkDoC0J4RLAAAAACdiGEY+td3nkcrsBMEAG8RLAAAAACdyJrt5dqTV+22JjsjSqMGJASpIwDtHcECAAAA0In867sCjzXTJ2bIbDYFoRsAHQHBAgAAANBJ7M2v1qofy9zWJMRYNHVESpA6AtARECwAAAAAncSHyw57rJk2Pk3RkVwmAPAef2MAAAAAnYDN7tRXPxxxW2O1mHTe+PQgdQSgoyBYAAAAADqBVT+Wedxi8tShyUpNjAhSRwA6CoIFAAAAoBP4fI370QqSdO74tCB0AqCjIVgAAAAAOrjSCruWby11W5OdEaWB2bFB6ghAR0KwAAAAAHRwS34olt1huK05fWSKTCa2mATQegQLAAAAQAe3eK37aRAmkzR1OFtMAvANwQIAAADQge0vqNa2fZVua4b1jVdGcmSQOgLQ0XTKYGHgwIEaOHCgli9fHupWAAAAgIBa7MWijWeMZLQCAN9ZA3XikpISrVy5Uhs3btSmTZu0adMmHT58WJK0YMECjRs3zqvzfPbZZ3r99de1adMmVVVVqWvXrpoyZYrmzJmj1NTUQLUPAAAAtHtOp6EvPEyDiI406+QhSUHqCEBHFLBg4fPPP9edd97ZpnPce++9WrhwoSTJYrEoOjpau3fv1vz58/XBBx9owYIF6tevnz/aBQAAADqcH34qV0GJzW3NpBOTFBNlCVJHADqigE6FyMjI0Gmnnabrr79eDz/8cKuOfeutt7Rw4UKZTCbdcsstWr16tdasWaNFixYpJydHhYWFmjt3rmprawPUPQAAANC+/WfZYY81pzMNAkAbBWzEwvnnn68ZM2a4bpeWut83t6Ha2lo98cQTkqTLL79cc+fOdT12wgkn6JlnntG0adO0Z88evf3227r88sv91zgAAADQAeQdqdXSTSVuazKSIjS0T3yQOgLQUQVsxILF4vtwqqVLl6qgoEAmk0mzZ89u8nj37t01bdo0SdIHH3zg8/M0p6qqSrNnz9bAgQN12mmnadeuXX49PwAAABAMHywtlNNwXzN1RIrMZlNwGgLQYYXlrhDLli2TJPXv319du3ZttmbSpEmSpHXr1qmy0v32Od4qKSnRrFmz9M0336hv3756/fXX1bdvX7+cGwAAAAiWqhqHPl7pfhqE2ST9fGxakDoC0JGFZbCwc+dOSdKAAQNarMnJyZEkGYbhl1EF+fn5mjlzptauXashQ4Zo4cKFLYYaAAAAQDhbvOaIKqqdbmsmDE5SVkpkkDoC0JEFbI2FtigoKJAkZWZmtljT8LH6el/t3btXs2bN0v79+zV27Fg9/fTTio9v/Vyz+fPna/78+V7Xt7VvAAAA4HhOp6FF3xd6rJs+MT0I3QDoDMIyWKif2hAdHd1iTcPHKioqfH6urVu36pprrlFhYaGmTp2qxx9/XFFRUT6dq7y8XHl5eT73AgAAALTVqh/LdKCwxm1Nv24xGtI7LkgdAejowjJYCJZVq1Zp/vz5Kisr0/Tp0zVv3jxZrb5/S+Lj45WVleV1fUFBgZxO90PUAAAAgNb413eeR8VOn5guk4lFGwH4R1gGC7GxsZKk6urqFmsaPhYX51vaWr+l5YgRI/TAAw+0+S/XWbNmadasWV7XT548mREOAAAA8Jvdh6q0dke525qUeKsmD00OTkMAOoWwXLyxfv2E/Pz8FmsaPpaRkeHT89RvWbl27Vq9+OKLPp0DAAAACBevfeH5l1bTxqUp0hqWlwEA2qmw/BulX79+kqQdO3a0WLN9+3ZJkslk8nlLyEsvvVR33323JOmhhx7SSy+95NN5AAAAgFDblVulbzaUuK2xWkw6ZxxbTALwr7AMFsaPHy+pLjw4dOhQszXffvutJGn48OGuqRO+uOKKK3TnnXdKku6//34tWLDA53MBAAAAofLq4ub/39zQacOSlZIQEYRuAHQmYRssZGRkyDAMPf/8800ez83N1YcffihJOu+889r8fFdddZXuuOMOSdK8efO0cOHCNp8TAAAACJbtByq1dHOp2xqTSbrwFN+mEAOAOwENFoqKilx/SkqODcsqKytr9JjNZmt0XGRkpG666SZJ0quvvqpnn33WtVjj1q1bdd1116myslK9evXSxRdf7JdeZ82apdtvv12SdN999+n111/3y3kBAACAQHv1M8+jFSaflKzeXWKC0A2Aziagu0JMmDCh2fuvv/76RrcXLFigcePGNbrvkksu0ZYtW/Taa6/pkUce0d/+9jdFR0ervLxuldv09HQ9/fTTioyM9Fu/s2fPltPp1COPPKJ77rlHFotFl1xyid/ODwAAAPjblr0VWrGtzG2N2SRdfrr326IDQGuE5XaT9f70pz/p5JNP1muvvabNmze7RilMnTpVc+bMUWpqqt+fc86cOXI4HHr88cf1xz/+UWazWRdddJHfnwcAAADwB2/WVpgyPEXZmdFB6AZAZxTQYGHbtm1tPsfPfvYz/exnP/NDN8d46mvu3LmaO3euX58TAAAA8Lev1h3Rmu3lbmvMZumyqYxWABA4Ybl4IwAAAAD38otr9fdF+z3WnTEyVd3So4LQEYDOimABAAAAaGecTkOPvr1PFdVOt3UWs/SrKZlB6gpAZ0WwAAAAALQz739XoPW73E+BkKSzRqepSyqjFQAEFsECAAAA0I7syq3SS594XrAxIcaiy89gbQUAgUewAAAAALQTNrtTD7+5V3aH4bH2xgt6KDUhIghdAejsCBYAAACAduKtr/K1O6/aY90ZI1N0yknJgW8IAESwAAAAALQLuw9V6Y2v8j3WZaVE6jfndQ9CRwBQh2ABAAAACHMOp6HH393vcQqE2STddkm24qItQeoMAAgWAAAAgLD37+8LtW1/pce6i0/N1Im944PQEQAcQ7AAAAAAhLGDh2v08qe5Hut6d4nW5aezCwSA4CNYAAAAAMJUrd2pv761VzU2z1MgbpmRrQgr/70HEHz8zQMAAACEIcMw9Pi7+7Rlr+cpEBdMytDA7NggdAUATREsAAAAAGHotS/y9OW6Yo91XVMjNfOMLoFvCABaQLAAAAAAhJmv1h3Rq4vzvKq9eUa2oiP5bz2A0OFvIAAAACCMbN1boUff3edV7c/HpmpYP3aBABBaBAsAAABAmKiudejBN/bKZne/WKMkZWdGafY53YLQFQC4R7AAAAAAhImFn+fp0JFaj3WJcRbdc2UfxUZZgtAVALhHsAAAAACEgZ0Hq/TetwUe6yKsJv3pij7qmhoVhK4AwDOCBQAAACDEHE5Df3tvn5xOz7W3Xpitwb3iAt8UAHiJYAEAAAAIsQ+WFmr7gSqPdZdNzdKU4SlB6AgAvEewAAAAAIRQfnGtXv70kMe6gdmxuuz0rCB0BACtQ7AAAAAAhEiNzakHXt+j6lr3cyAsZunmC3rIYjYFqTMA8B7BAgAAABACDqehB9/Yoy17Kz3WXnhKpvp0jQlCVwDQegQLAAAAQJAZhqGn/31ASzeXeqztkhrJFAgAYY1gAQAAAAiyN7/K14fLD3tVe+P0HoqK4L/tAMIXf0MBAAAAQfTNhmKvFmuUpNNHpGjkgIQAdwQAbUOwAAAAAARJcblNT76/36va7Mwo/ea87gHuCADajmABAAAACJJnPjiosiqHx7rUBKv+36y+io+xBKErAGgbggUAAAAgCJZtKdHXPxR7rIuJMuu+WX2VmRwZ+KYAwA8IFgAAAIAAq6h26O//OuCxzmox6f9m9lZftpYE0I4QLAAAAAAB9uLHuTpcavNYd9MFPTSiP4s1AmhfCBYAAACAAFq7o0wfebG15ITBiTpjZEoQOgIA/yJYAAAAAALkp9wq/b9Xd3usi40y67e/6CGTyRT4pgDAzwgWAAAAgADIL67V/720S5U1To+1s8/ppvSkiCB0BQD+R7AAAAAA+FlphV13v7hLh0vtHmuH9o3T2WNSg9AVAAQGwQIAAADgR7U2p+555SftK6jxWBtpNenmC7KZAgGgXbOGugEAAADAE6fT0Lqd5fpmQ7H25lerrNKhpHirUuOtSkmIUHK8VSkJVqXER7g+JsdbZbUE/4L9nx8e1OY9lV7Vzjq7q7qlRwW4IwAILIIFAAAAhK3CEps+W12kT1YVKe9IbaPHvBkRkBhnqQsbmgQPViXHRyg1oe7+hFirLOa2hxDfbSz2agcISTpnbJrOPzm9zc8JAKFGsAAAAICw4nAYWrmtVP9dWaRV20rlNHw/V2mFQ6UVDu3Jc19nNktJcXWBQ+rxIyCOjopIORpCxEdbmp26UFBcq8ff2+9VXxMGJ+q353dnCgSADoFgAQAAAGEht6hGn6ws0meri1RU5nnRQ39yOqUjZXYdKbNrV26121qrxeQaAeEa9RBv1Zod5Sqvcnh8rsG9YvU/v+zllxESABAOCBYAAAAQMrV2p5ZuLtEnK4u0dkd5qNvxit1hqKDEpoISm6SqVh2bnRmlP/+6j6IiWEMdQMdBsAAAAICg25tfrU9WFmnx2iKVVnj+LX9HEBNl1p9/3UcJsfwXHEDHwt9qAAAACIrqWqe+2VCsj1ce9nrXhI7khvN7qFsaO0AA6HgIFgAAABBQOw5U6uOVRfpy3RFV1jhD3U5InD4iRVNHpIS6DQAICIIFAAAA+F1FtUNfrT+ij1cUacfB1q1D4ElaYoROHpyoapuzbsHFcruKy206Um6XMwxzi25pkfrt+d1D3QYABAzBAgAAAPzCMAxt2Vupj1ce1pIfSlRj899VvtksjTshUWePSdOonIRmd1RwOg2VVjp0pNym4vK6HR6Kyo59fqTc5goiSivtMtqwjaW3LGbpD5f2UmyUJfBPBgAhQrAAAACANimpsOuLtUf08crD2ptf49dzd0mN1NljUvWzkalKTYxwW2s2m5Qcb1VyvOf/4todhkoqGoQNxwUPRxoEEuXVvi8u+dtf9NDA7FifjweA9oBgAQAAAK3mdBpav6tcH68s0vebSmR3+O/X/1aLSROHJOnssaka2ide5mZGJ/jjOdISI5TmIayQpFqb8+h0i7rAoajcruJGQYTt6OgIu2uURu+saF12epZOOSnZ770DQLghWAAAAIDXikpt+nR1kT5ZVaRDRbV+PXfPzCidPSZNU0ekKCkufP6bGhlhVlZKpLJSIj3WVtc6ZLWYZbX4PwwBgHAVPn9jAwAAICw5HIZW/VimT1Yd1vKtpX5dIDEqwqzJQ5N09pg0DeoZK5OpfV+QR0eylgKAzodgAQAAAM3KO1KrT1YV6dNVRTpcavPruQd0j9FZY1J12rAUxUVzMQ4A7RnBAgAAACRJDqehQ0W12r6/Up+tKdLaHeV+3TkhNsqsKcNTdPbYVPXvxoKGANBRECwAAAB0Mg6nodzDtdqbX609+dXam1etvfnV2ldQI5vd/3swDu4Vq7PHpOmUk5IVHWn2+/kBAKFFsAAAANBBORyGcotqG4UHe/Kqtb8wMAFCQ4mxFp0xMlVnjUlVz8zogD4XACC0CBYAAADauboAoUZ78qq1N7/+Y90IBH9uA+mNEf3jdfaYNI0fnKhIK6MTAKAzIFgAAABoJ+wOQ7mHa46OQDj6Mb9a+0MQIDSUmmDVmaNTdeboVHVNjQpZHwCA0CBYAAAACDN2h6GDh2tcUxf2Hh2JsL8wtAFCQ2aTNOaERJ09OlVjBibKYmnf20QCAHxHsAAAABAidoehA4V1AYJrDYT8Gh0IowDheFkpkTprdKp+NipV6UkRoW4HABAGCBYAAACCxOEwtGlPhZZuLtG6neXal18thzPUXXlmtZg0YXCizh6TpuH94mU2MzoBAHAMwQIAAEAAVdU4tHp7mZZtLtWKraUqq3KEuiWvRFpN6ts1RhNPTNIZI1OVHM9/GwEAzeNfCAAAAD8rKrNp+ZZSLdtcorU7ywO+tWNbRFpNys6MVq/MaPXMiqr7mBmtrNRIWRiZAADwAsECAACAH+zLr9bSzSVaurlU2/ZXygizLCEqwqTsjLrQoFdWlHpmHQ0QUggQAABtQ7AAAADgA4fT0Na9lVq2pS5MOFBYE+qWJElREWb1zIxSz8zoo+FBlHplRSszmQABABAYBAsAAABeqrE5tXZ7mZZuKdXyLaUqqbCHrJeGAUKvrGMjETKTI1lcEQAQVAQLAAAAbpRU2LVia6mWbi7Rmu3lqrEFdxuH+gDhWHhQNwqBAAEAEC4IFgAAAI5zsLBGS7eUaNnmUm3eUyFnENZLiI5sbgRCtDKSIggQAABhjWABAAB0ek6noe0HqrR0c4mWbSnVnrzqgD9n19RITRicpGH94gkQAADtGsECAADolGrtTq3fWa5lm0u1bEuJisoCv15CTo8YTRicpAmDk9QzM0omE0ECAKD9I1gAAACdRlmVXSu3lmnZlhKt2lamqtrArpdgtZg0vF+8xg9O1PhBSUpLjAjo8wEAEAoECwAAoEPLO1KrZZtLtHRLqTb+VC5HgNdejI+2aMwJCZowOEkjByQoLtoS2CcEACDECBYAAECHsyevWt9uKNb3m0u0Kzfw6yVkJkdo/KAkjR+cqJP6xMtqYYoDAKDzIFgAAAAdQn2YsGRDsfbm1wT8+fp1i9GEQYkaPzhJfbtGs14CAKDTIlgAAADtVn2Y8M3GkoDv5GAxSyf1ObZeQlZKZECfDwCA9oJgAQAAtCt786v1zQ/BCRNiIs0aPTBB4wclacwJCUqI4b9OAAAcj38dAQBA2NubX61vNhTrmw2BDxPSEq0aNyhJEwYlami/eEVazQF9PgAA2juCBQAAEJbqw4RvN5Rod4DDhF5Z0Ro/KFETBidpQPcYmc2slwAAgLcIFgAAQNjYl1+tJUEIE8wmaXDvOE04upNDt7SogD0XAAAdHcECAAAIqX351fpmQ4m+2VAc0DAhKsKskQPiNWFwksaekKikOP4bBACAP/AvKgAACLpghQlx0WZNGJykiScmaUT/BEVFsF4CAAD+RrAAAACCwhUmbCzW7kOBDxNOOSlZw/uz+CIAAIFGsAAAAAJmf0G1lvwQnDBh/KAkTR5KmAAAQLARLAAAAL/aX1A3MmHJBsIEAAA6A4IFAADQZvVhwjcbivVTEMKEU05K1ogBhAkAAIQDggUAANAqlTUOHSys0f6CGu3Jr9byLaUBDRNio46tmUCYAABA+CFYAAAATTgchg4dqdWBowHCgcIa7S+s1oHCGh0utQf8+QkTAABoPwgWAADopAzDUHG5/WhoUOMKEfYX1ij3cI0czuD2Ux8mTDopSSMHJBAmAADQThAsAADQwVXXOnSgsPnRBxXVQU4PjkOYAABA+0ewAABAB+BwGsovrtWBgqajDwpLbKFurxHCBAAAOhaCBQAA2pGSCnuD0KBaBwprtb+gWgcP18ruMELdXotio47u5jCUMAEAgI6GYAEAgDBhGIbKqx0qLLapoMSmgpJaFRTbVFhi04GjoxDKqhyhbtNrrjChfmRCBGECAAAdEcECAABBUl3rUEF9aFBcezQ8qPu88Ojn1bWhXfOgrWKizJpAmAAAQKdCsAAAgB/U2p0qLKkbXdAwNChs8Hl5Oxpt4K34aIu6Z0SpT5dojTshkTABAIBOiGABAAAPHA5DRWVNpyfkNxhpUFxuD3WbAWO1mNQ1LVI90qPUPT1KPTKOfkyPVlKcRSaTKdQtAgCAECJYAAB0WoZhqMbmVEmFQ8XldhWWND/SoKjUJmf4rovoN+lJEUcDg8YBQlZypCwWwgMAANA8ggUAQIfhcBoqq3SopMKu0kp73ceKutv1f+rud6j06O1aeydIDBqIiTKrR8NRB0c/dk+LUkyUJdTtAQCAdohgAQAQtqprncfCgPL6YOD4oOBokFBhV1mVQ0bnygmaZTFLXdOimh19kBJvZeoCAADwK4IFAEBQOJ2GyqqOhQAlFXaVVDa+XT+6oH60QY2NlMCd1ASrKzTokR7t+jwrJVJWpi4AAIAgIVgAAPjMMAxV1jh1pMyuI+W2uo9lNh0pt9f9KbMde6zcLmf73kkx6KwWk9ITI5SeHKGMpAh1Szs2+qBbWpTiopm6AAAAQo9gAUBQGIYhu8OQw2nI5jDkcBiyO+rmxNvsdffbHcf+OJyGIiwmRUSYFGU1KzLCrKgIU91Hq5mF5AKs1uY8FgyU212BQdHR+4rr7yu3MarAR2aTlJJQFxhkJEcoIylS6Q0+z0iOUHKcVWYzr3UAABDeCBaAVjCMuovgGptT1TanamrrPx69r9apGtvRP0c/dxz/G1pTs5/q+CnPjW42eNDdMS0cIlODoxrebxiS3WnIbjdkd9Zf7B/908xtu6PBfUePcwUCx99uEBDUfWy5V19YzFLkcYFDpNWkqAiz6/P6ECIyov7+YyGF6/Gj90daj/+8/pzHPre08ws8h9NQSYW98aiCMpuKyo6NLqgPDMqrHaFut91LirO6QoP0pGNhQf3H1IQIpisAAIAOgWABHUZrL/qrXRf/xnH1x+qqjz7eMCjoDFvOtQcOp1RV61RVbfDG1lstJkUcDS8iLCaZzSaZTar7aJYspqMfzSaZj35eX2M5WlN3v0mWo49Z6o9vUG9x1dV9rD/W0vD5Wqi3mEyyOQwVNZyCcDQ4KK2w8/r1k7hos2uEQWZypGuqQkZSpDKS6oKEyAhzqNsEAAAICoIFhJzDaaiqxqnKGocqqh2qrHbWfayp+9zj/TVc9CM46kdhVNWwUEBHFhVhUkbysYDg2EiDCKUf/TyWbRkBAABcCBbgM8MwVGMzjl7oO1ThTQjQ4P76ei7SAARSVIRJSXFWJcVZlRh79GOc5ejHuttJsRZXTUKshe0YAQAAWoFgAW7tOFCppZtLteNglStAaBgO+HvePAC4YzJJCbEWJbkCAquS4iyuwCCp/naDICE6kikJAAAAgUSwgBb967sC/fM/B0PdBoAOrH40gaeRBPW342Ms7X4RTQAAgI6GYAHN+mFXOaECAJ/ERpmVkhChlASrUuOtrs9T4iOUHG9VcvyxkQXRkaxVAAAA0N4RLKBZHy0/HOoWAISRCKtJKUdDgtSjIUFKgtUVGNQ9ZlVyfARTDwAAADoZggU0q7jcHuoW2i2zSYqKMCsq0qzoCLMsDfepN45tW9FwAwvjuN0sjBZuND6m5S0wjBaOae65rBaT64/FfPxtU5PbEdZj9ze5bTEpooXj3N62SBEW89H7JcvRGrvDUK2tbsvPWptTtUe3E621O1V7dBvQWptTNXZDNptTNY3uN47ervu81u48emzjc9bYnXJ20rVCzCYpKd6qlHirUo8bVZCScPS+o2FCXLSZBQ0BAADQLIIFNCspvmO+NEwmKfroRX9UhFnRkWZFRZjqggDX7WOhQN1HU5P7mtabXI9FWExcgLUzDsexEKJh4FAfUtjsjUOMWptTdochpyE5nYYcTkNOp+Q0Gn+su9+Q42idu3qHs8FjDeodDqPpeQ1DTkfT89bXm44GBqkNQoKUoyFBaoPPE+OsrFcAAACANuuYV49osxmTMrTkh+JQt6GYSLNioy2KjTYrLurox2iL4qItij16OzbKopio4y70XRf7lmMX/RFmRVi56EdTFotJsZa61xQAAACA1iFYQLMGZsfq2nO66cWPD/q0pWSE1aTYKIvijl74x0UfCwFaCgfqa+rvj4ky89tUAAAAAAhzBAto0YxTMjSif7xWbivV/sIaRVjMdSFAtEWxUccCgLqQoD40qAsHIq0s3gYAAAAAnQHBAtzq0zVGfbrGhLoNAAAAAECY4tfKAAAAAADAZwQLAAAAAADAZwQLAAAAAADAZwQLAAAAAADAZwQLAAAAAADAZwQLAAAAAADAZwQLAAAAAADAZwQLAAAAAADAZwQLAAAAAADAZwQLAAAAAADAZwQLAAAAAADAZwQLAAAAAADAZwQLAAAAAADAZwQLAAAAAADAZwQLAAAAAADAZwQLAAAAAADAZwQLAAAAAADAZwQLAAAAAADAZwQLAAAAAADAZwQLAAAAAADAZwQLAAAAAADAZybDMIxQN9FZDRkyRHa7XWazWRkZGaFuBwAAAADQwRUUFMjpdMpqtWrTpk1+OafVL2eBT5xOp+tjXl5eiLsBAAAAAHQW9dej/kCwEEKRkZGqra2V2WxWWlpaqNtpUX2ixcgKoA7vCaAx3hPAMbwfgMZ4T4Sfw4cPy+l0KjIy0m/nZCoEPJo8ebLy8vKUlZWlJUuWhLodIOR4TwCN8Z4AjuH9ADTGe6JzYPFGAAAAAADgM4IFAAAAAADgM4IFAAAAAADgM4IFAAAAAADgM4IFAAAAAADgM4IFAAAAAADgM4IFAAAAAADgM4IFAAAAAADgM4IFAAAAAADgM4IFAAAAAADgM2uoG0D4mzVrlsrLyxUfHx/qVoCwwHsCaIz3BHAM7wegMd4TnYPJMAwj1E0AAAAAAID2iakQAAAAAADAZwQLAAAAAADAZwQLAAAAAADAZwQLAAAAAADAZwQLAAAAAADAZwQLAAAAAADAZwQLAAAAAADAZwQLAAAAAADAZwQLAAAAAADAZwQLAAAAAADAZ9ZQNwDflJSUaOXKldq4caM2bdqkTZs26fDhw5KkBQsWaNy4cW6P37dvnxYsWKDvv/9eBw4ckN1uV3JysoYMGaILLrhAZ599tsfjn3vuOX377bcqKChQYmKihg8friuvvFJjx451e6xhGHr33Xf17rvvaseOHbLZbOrRo4fOOussXXPNNYqNjW3dNwNQ6N4TTz75pP7+97+7PXdsbKzWrl3b4uO8J+BvbX0/5OXl6YUXXtCSJUuUm5srq9WqPn36aNq0aZo5c6YiIiLcHl9UVKRnn31WX3zxhQ4dOqSYmBgNGTJEl112mc444wyP/X/22Wd6/fXXtWnTJlVVValr166aMmWK5syZo9TUVO+/EcBRoXpPvPfee7rzzjs99rd06VK3r23eE/C33Nxcffrpp1q2bJm2bdum/Px8RUREqFu3bpowYYKuvPJKZWdnuz1HW16X/DvR8ZgMwzBC3QRaz90/VJ7+gfzqq690yy23qKqqSpJktVoVFRWliooKV80ZZ5yhxx9/vNl/KJctW6a5c+eqsrJSkhQfH6+KigoZhiGTyaQ//OEPuvrqq5t9brvdrhtvvFFffPGFJCkiIkIRERGuc/Xu3VsLFy5Uenq6F98F4JhQvSfqg4WIiAglJSU1e/6YmBgtXry42cd4TyAQ2vJ+WLZsmW688UaVlpZKqvs73m63q7q6WpI0ZMgQvfTSS0pMTGz2+O3bt+vKK690XbTFxcWpurpaDodDknTFFVfo7rvvbvH57733Xi1cuFCSZLFYFB0d7Xovpqena8GCBerXr5+7Lx9oIlTvifrnNZvNbi92PvzwQyUnJzf7GO8J+Ftubq6mTJmihpeB8fHxqqmpkc1mkyRFR0fr/vvv1znnnNPsOdryuuTfiQ7KQLv07rvvGhMnTjTmzJlj/O1vfzMWLVpk5OTkGDk5OcayZctaPK6oqMgYNWqUkZOTY5x33nnGypUrDbvdbhiGYRQUFBj333+/6zwvvPBCk+MLCwuN0aNHGzk5OcbMmTONPXv2GIZhGCUlJcZ9991n5OTkGAMHDjS+//77Zp//0UcfNXJycowTTzzRePPNN43a2lrDMAxj+fLlxuTJk42cnBzj8ssvb+u3B51QqN4TTzzxhOv94AveEwgEX98Pubm5rr/jZ8yYYWzatMkwDMNwOBzG119/bUycONHIyckxrr322maPr6mpMU4//XQjJyfHOPfcc40tW7YYhmEYlZWVxlNPPWUMHDjQyMnJMd55551mj3/zzTdd/4489dRTRmVlpWEYhrFlyxbj3HPPNXJycoyf/exnRk1NTVu+PeiEQvWeePfdd42cnBxjypQpPvXNewKBsG/fPmPgwIHGNddcY/znP/8xDh8+bBiGYdhsNmPFihXGeeedZ+Tk5BhDhgwxtm7d2uT4trwu+Xei4yJYaKfqL3zqlZSUePUP5Hvvveeq27dvX7M11113nZGTk2NccsklTR6rv8iaNGmSUVZW1uTxOXPmGDk5OcaFF17Y5LHCwkJj6NChLV6grV+/3vWXyVdffdXi1wA0J1TvibYEC7wnECi+vh/+8pe/GDk5Ocbw4cON/Pz8Jo8vW7bMdZ7mAuQFCxYYOTk5xrBhw4wDBw40efyee+5x/RtSH6LVq6mpcV2k3XvvvU2O3b9/vzFs2DAjJyfHePXVV1v8GoDmhOo90ZZggfcEAqW0tNTYvHlzi48XFBQY48ePN3Jycow77rij0WNtfV3y70THxeKN7ZTFYvHpuIKCAklScnKyevTo0WzNSf+/vfuPqbr64zj+vAKCgGD+VkIyzfwRipVKaV+dtMzU0jZXZJYFhuWPuWlaK/9oS5cuW/ZHbaQzHDmVrJa5Zj9E00Ilw1+pdFFripIoqIACXrzfP+4+n93L/SF9roDB67G53XvP59x7cefF4b7v+ZxPYiKAuRTb4HQ6+fbbbwFITU0lOjraq+/MmTMBOHz4MKdOnfJo27ZtG9XV1URHR5OamurVd/DgwSQnJwPwzTff/JsfS6RZMhEsZUIai9U87Ny5E4BJkybRpUsXr/YRI0YwaNAgAL766iuvdmOcTpgwgZ49e3q1p6enY7PZOH/+PHv37vVoy8vLo7S0FJvNRnp6ulffuLg4JkyYAMCWLVv+5U8mrV1zZSIYyoQ0lvbt2zNgwAC/7Z07d2b06NEA/PHHHx5twY5LzRMtlwoLrYzxwenSpUucOXPG5zGHDx8GYODAgR6PFxUVmR/CHnnkEZ99hw4dahYc8vLyPNr27NkDwIMPPki7du189h81apTPviKNJZhMBEuZkNvN2bNnAbj77rv9HmO0/frrrx6PV1VVmVnxN0f07NnTPO/V3xzRt29fevTo4bO/kYcDBw7c8kKfiC/BZCJYyoQ0pzvuuAPA3PfAEMy41DzRsqmw0MqMGTOGrl27AjB79mz279/PjRs3ALhw4QLLly8nNzeX2NhYZs+e7dG3qKjIvH3PPff4fP6QkBBzgj1x4oRHm3HfX1/3tosXL1JeXv5vfjQRS4LJhDu73c6ECRMYPHgwQ4cOZeLEiSxbtozTp0/77aNMyO3GZrMBmBnwxfgjs7S0lEuXLpmPnzhxwtwIrCFj2soc0a9fP8C1gu7kyZN+jxO5VYLJhLuysjKmTJlCUlISSUlJjBs3jiVLllBYWOj3eZUJaU779u0DvMdfMONS80TLpsJCKxMZGUlmZiZxcXEcP36c5557jsTERO6//35GjhxJdnY248ePJycnh169enn0NVYrxMbGEhER4fc1jA9pxvH1+xvtvnTr1s3reJHGFEwm3JWXl3Py5EkiIiKoqanBbreTlZXFxIkT/S7HUybkdmMsS7Xb7X6PcS8ynz9/3rztPj7dx219xnh37+veP1Ae3NuUB2kKwWTC3bVr1zh27Bht27bF4XDw119/sWnTJqZMmcKaNWt89lEmpLn8+OOPHDlyBICnn37aoy2Ycal5omVTYaEVGjBgAOvWrWPo0KGA63J3xiVa6urqqKmpMS+7585YThSoqODe7n6pPvf+/pZ813/u+v1FGovVTAAkJCSwaNEivv/+ew4fPsy+ffsoKCjg448/pnfv3lRXV/PGG2+Qn5/v1VeZkNuNsYR069atFBcXe7Xn5uby559/mvfdx6T7ktNA84Qx3v3NEYH6Kg/S1ILJBLg+5MydO5ctW7Zw6NAhc47IyspiyJAh1NXVsWLFCp8FaGVCmsPZs2dZsmQJACkpKfzvf//zaA9mXGqeaNlUWGiFvvjiCx5//HGKi4tZsWIFO3fuZP/+/WzcuJGHH36Y7du3M23aNA4dOtTcb1WkSQSTiSeffJK0tDQSEhIIDQ0FIDw8nJSUFDZu3EivXr1wOBysXLmyqX8skX9txowZREVFUVNTQ1paGrt27aK6uporV67w9ddfs3jxYsLCwszj27TRnxHSsgWbiVGjRjFnzhz69etH27ZtAQgLCyM5OZns7GySkpIAeP/99wOebiHSFK5cucKsWbMoKysjPj6eZcuWNfdbkv8Q/UXQyhQUFPDWW2/Rpk0bsrKyeOqpp+jevTvR0dEkJSXx6aefMmLECCorK3n33Xc9+kZGRgJQXV0d8DWM9qioKJ/9/X3zW/+56/cXaQzBZOJmYmNjycjIAFybCJWVlXm0KxNyu4mLi+Ojjz4iKiqKU6dOkZ6ezpAhQxg2bBiLFy+mTZs2zJs3zzy+ffv25m1jPEPgecIY7/7miEB9lQdpasFk4mbatm3L/PnzASgpKeHo0aMe7cqENKWqqipmzpxJYWEhXbt2Ze3atXTo0MHruGDGpeaJlk2FhVYmKysLcG1Y52uHY5vNxowZMwA4ePCgx7lJxjlLly9fDhho43yo+pdl8ne+lLt//vnHvO3rsk4it1owmWiIIUOGAK5NhOpfdUKZkNvRqFGj+O6770hPTycxMZGePXvSv39/XnrpJbZs2UKnTp0A17eu7pdodT+v1X3c1meM9/rnyDYkD+5tyoM0FauZaAhjjgC8NvtVJqSpXLt2jYyMDA4cOEDHjh357LPPiI+P93lsMONS80TLFtrcb0CalrGbaqCJz/0XSXFxsRnKvn37mo8XFRVx3333efW9ceOGuQOrcakYQ58+fbDb7R6bHNVntHXq1Mm8zI1IYwomE8FSJuR21a1bN15//XWfbca3qgMHDjSXdoPrkns2mw2n00lRUZHXHGAwxrSvOWLHjh0B82BsoGez2QJe/k/kVrOSiWApE9IUqqurmTVrFvn5+cTGxrJ27Vq/v78huHGpeaJl04qFVsa4bNK5c+f8HmNcsxkgOjravN2nTx/zA9WuXbt89i0oKKCyshKAhx56yKMtOTkZgPz8fL8rHnbv3u2zr0hjCSYTDXHw4EHzdeoXL5QJ+a+pra1l27ZtgGt/EXdRUVEMHjwY8D9HlJSUmH8Q+psj7HY7JSUlPvsbeUhKSvJYUivSXAJloiGMOQK8C9zKhDS22tpaZs+ezZ49e4iOjmb16tX0798/YJ9gxqXmiZZNhYVWZsCAAQDs3LnT7wepjRs3AhATE0Pv3r3Nx202GxMnTgRgw4YNZgHB3erVqwFITEz06Avw2GOPERERQWVlJRs2bPDqe+TIEfLy8gBrk7OIFcFkwrgWsz8VFRVkZmYCruWuHTt29GhXJuS/5sMPP6S0tJTu3bszefJkr/ZJkyYBrh30feVp9erVOJ1OunbtyogRIzzakpOT6dKlC06n05xL3J07d46tW7d6vI5IcwuUiZvNEdevX2fVqlWAa0XEoEGDPNqVCWlM169fZ968eezevdu89LbxoT+QYMel5omWS4WF/7CysjLz3+XLl83HKyoqPNquX79utqWmpmKz2aiqqiItLY28vDxqa2sBOHPmDG+++SY//fQTANOmTSMkJMTjNWfOnElMTAwlJSW89tpr5vmAFRUVLF26lO3bt2Oz2ViwYIHX++3UqZN5rvrKlSvJycnB4XAArm9s58yZg9PpZNiwYYwePfrW/UdJq9HUmcjPzzfPsXU/V7C2tpYdO3bw7LPP8vfffxMSEqJMSJOzkgeADz74gJ9//pmKigrzMbvdzqJFi1izZg2hoaEsXbrU5+qdZ555hvj4eK5evUpGRgbHjx8HXEttMzMzyc7OBmD+/PkeO+mDayM7YxO87OxsMjMzzZU8x48fJyMjg6tXr5KQkMDUqVNvwf+QtDZNnYni4mKmTp3Kpk2bPPbYcTgc7Nu3j+nTp1NQUADAwoULva4ooUxIY6mrq2PBggXk5uYSERHBJ598wgMPPNCgvsGOS80TLZfNebNyqty27r333gYdt27dOo+KX1ZWFsuXL6eurg6AkJAQwsPDPa4tm5KSwqpVq7wCDbBnzx5effVV8/j27dtTVVXFjRs3sNlsLFq0iJdfftnne3E4HMydO5ft27cDro2OwsLCzOe66667yM7O1mYrYklTZ2Lv3r288MIL5v127doRHh5OZWWlWSCIjIxk6dKlPPHEEz7fizIhjcVqHsaOHUtxcTHgWrbqcDioqakBXL/v33vvPR599FG/z2e323nxxRe5ePEi4Dp96Nq1a2a+pk+fzttvv+23/zvvvMP69esBCA0NNVf1AHTu3Jl169YFPP9XxJ+mzsSZM2dISUkx74eHhxMZGUllZaVZvAgLC2PhwoVmkdkXZUJutfz8fJ5//nnA9WE9JiYm4PG//PKL12PBjEvNEy2TCgv/YVYnSHBtNPT555/z22+/UVJSQl1dHR06dGDQoEFMnjyZ8ePHB3zO06dPk5mZye7duyktLSUmJoakpCRmzJjB8OHDA/Z1Op1s3ryZzZs3Y7fbcTgc3HnnnYwbN460tDSdDyWWNXUmysvL+fLLL/n9998pKiqivLycqqoqoqKiSEhIYOTIkaSmptKtW7eA70eZkMZgNQ85OTnk5uZSWFjIhQsXCA0NJS4ujjFjxjB9+vQGFbkuXrxIZmYmubm5nDt3jsjISAYOHMi0adMCFiUMP/zwA+vXr+fo0aNcvXqVHj16MHbsWF555RWvU4pEGqqpM1FdXU1OTg4FBQUcO3aMsrIyKisriYiIID4+nuHDh5Oamup16qgvyoTcSvW/GLmZwsJCn48HMy41T7Q8KiyIiIiIiIiIiGXaY0FERERERERELFNhQUREREREREQsU2FBRERERERERCxTYUFERERERERELFNhQUREREREREQsU2FBRERERERERCxTYUFERERERERELFNhQUREREREREQsU2FBRERERERERCxTYUFERERERERELFNhQUREREREREQsU2FBRERERERERCxTYUFERERERERELFNhQUREREREREQsU2FBRERERERERCxTYUFERERERERELFNhQUREREREREQsU2FBRERERERERCxTYUFERERERERELFNhQUREREREREQsU2FBRERERERERCxTYUFERERERERELFNhQUREREREREQs+z+SXxC8NPQUjQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 368,
       "width": 523
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_theme(context='paper', style=\"ticks\", palette=\"muted\")\n",
    "# Axes to apply matplot adjustments within the ax\n",
    "fig, ax = plt.subplots(1, 1, figsize=(6, 4), dpi=100)\n",
    "\n",
    "sns.lineplot(x=italy.year, y=italy.gdp_per_capita, linewidth=3)\n",
    "\n",
    "# title but get rid of other labels since the are selfexplainig\n",
    "ax.set_title('Income per capita in Italy', fontsize=14);\n",
    "ax.set_ylabel('')\n",
    "ax.set_xlabel('')\n",
    "\n",
    "# fix the y labels\n",
    "y = [10000,20000,30000]\n",
    "labels=['10 k', '20 k', '30 k']\n",
    "plt.yticks(y, labels)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# data preparation"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### display.max_columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.set_option('display.max_columns', None)\n",
    "whr_who[:40]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>Continent_no</th>\n",
       "      <th>Continent</th>\n",
       "      <th>happiness_score</th>\n",
       "      <th>gdp_pc</th>\n",
       "      <th>emissions</th>\n",
       "      <th>emissions_pc</th>\n",
       "      <th>population</th>\n",
       "      <th>percepted_corruption</th>\n",
       "      <th>HALE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>United States</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Americas</td>\n",
       "      <td>6.892</td>\n",
       "      <td>1.433</td>\n",
       "      <td>5776431.50</td>\n",
       "      <td>0.019074</td>\n",
       "      <td>302841.0</td>\n",
       "      <td>0.128</td>\n",
       "      <td>69.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>China</td>\n",
       "      <td>7.0</td>\n",
       "      <td>South &amp; Eastern Asia</td>\n",
       "      <td>5.191</td>\n",
       "      <td>1.029</td>\n",
       "      <td>5547757.50</td>\n",
       "      <td>0.004176</td>\n",
       "      <td>1328474.0</td>\n",
       "      <td>0.100</td>\n",
       "      <td>64.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>Russia</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Europe</td>\n",
       "      <td>5.648</td>\n",
       "      <td>1.183</td>\n",
       "      <td>1503302.50</td>\n",
       "      <td>0.010496</td>\n",
       "      <td>143221.0</td>\n",
       "      <td>0.031</td>\n",
       "      <td>58.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>India</td>\n",
       "      <td>7.0</td>\n",
       "      <td>South &amp; Eastern Asia</td>\n",
       "      <td>4.015</td>\n",
       "      <td>0.755</td>\n",
       "      <td>1402359.40</td>\n",
       "      <td>0.001218</td>\n",
       "      <td>1151751.0</td>\n",
       "      <td>0.085</td>\n",
       "      <td>53.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>Japan</td>\n",
       "      <td>6.0</td>\n",
       "      <td>South-East Asia</td>\n",
       "      <td>5.886</td>\n",
       "      <td>1.327</td>\n",
       "      <td>1230026.80</td>\n",
       "      <td>0.009613</td>\n",
       "      <td>127953.0</td>\n",
       "      <td>0.140</td>\n",
       "      <td>75.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>Gambia</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Africa</td>\n",
       "      <td>4.516</td>\n",
       "      <td>0.308</td>\n",
       "      <td>285.79</td>\n",
       "      <td>0.000172</td>\n",
       "      <td>1663.0</td>\n",
       "      <td>0.167</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>Central African Republic</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Africa</td>\n",
       "      <td>3.083</td>\n",
       "      <td>0.026</td>\n",
       "      <td>252.82</td>\n",
       "      <td>0.000059</td>\n",
       "      <td>4265.0</td>\n",
       "      <td>0.035</td>\n",
       "      <td>37.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>Burundi</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Africa</td>\n",
       "      <td>3.775</td>\n",
       "      <td>0.046</td>\n",
       "      <td>223.50</td>\n",
       "      <td>0.000027</td>\n",
       "      <td>8173.0</td>\n",
       "      <td>0.180</td>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>Chad</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Africa</td>\n",
       "      <td>4.350</td>\n",
       "      <td>0.350</td>\n",
       "      <td>139.23</td>\n",
       "      <td>0.000013</td>\n",
       "      <td>10468.0</td>\n",
       "      <td>0.078</td>\n",
       "      <td>41.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>Comoros</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Africa</td>\n",
       "      <td>3.973</td>\n",
       "      <td>0.274</td>\n",
       "      <td>87.94</td>\n",
       "      <td>0.000108</td>\n",
       "      <td>818.0</td>\n",
       "      <td>0.078</td>\n",
       "      <td>55.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>138 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                      Country  Continent_no             Continent  \\\n",
       "18              United States           4.0              Americas   \n",
       "92                      China           7.0  South & Eastern Asia   \n",
       "67                     Russia           2.0                Europe   \n",
       "139                     India           7.0  South & Eastern Asia   \n",
       "57                      Japan           6.0       South-East Asia   \n",
       "..                        ...           ...                   ...   \n",
       "119                    Gambia           3.0                Africa   \n",
       "154  Central African Republic           3.0                Africa   \n",
       "144                   Burundi           3.0                Africa   \n",
       "131                      Chad           3.0                Africa   \n",
       "141                   Comoros           3.0                Africa   \n",
       "\n",
       "     happiness_score  gdp_pc   emissions  emissions_pc  population  \\\n",
       "18             6.892   1.433  5776431.50      0.019074    302841.0   \n",
       "92             5.191   1.029  5547757.50      0.004176   1328474.0   \n",
       "67             5.648   1.183  1503302.50      0.010496    143221.0   \n",
       "139            4.015   0.755  1402359.40      0.001218   1151751.0   \n",
       "57             5.886   1.327  1230026.80      0.009613    127953.0   \n",
       "..               ...     ...         ...           ...         ...   \n",
       "119            4.516   0.308      285.79      0.000172      1663.0   \n",
       "154            3.083   0.026      252.82      0.000059      4265.0   \n",
       "144            3.775   0.046      223.50      0.000027      8173.0   \n",
       "131            4.350   0.350      139.23      0.000013     10468.0   \n",
       "141            3.973   0.274       87.94      0.000108       818.0   \n",
       "\n",
       "     percepted_corruption  HALE  \n",
       "18                  0.128  69.0  \n",
       "92                  0.100  64.0  \n",
       "67                  0.031  58.0  \n",
       "139                 0.085  53.0  \n",
       "57                  0.140  75.0  \n",
       "..                    ...   ...  \n",
       "119                 0.167  50.0  \n",
       "154                 0.035  37.0  \n",
       "144                 0.180  35.0  \n",
       "131                 0.078  41.0  \n",
       "141                 0.078  55.0  \n",
       "\n",
       "[138 rows x 10 columns]"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "whr = pd.read_csv('data/WHR_2019.csv')\n",
    "who = pd.read_csv('data/WHO.csv')\n",
    "\n",
    "# rename 'United States of America' for better merging\n",
    "# iat allows to access a single value for a row/column pair\n",
    "who.iat[ 192, 0] = 'United States'\n",
    "\n",
    "# merge\n",
    "whr_who = whr.merge(who,\n",
    "                    left_on=\"Country or region\",\n",
    "                    right_on=\"Country\",\n",
    "                    how='outer')\n",
    "\n",
    "# get only columns of interest, sort decending by emisssions, letting out rows missing emissions\n",
    "emissions = whr_who[[\n",
    "    'Country', 'Continent', 'Score', 'Total_CO2_emissions', 'GDP per capita',\n",
    "    'Population (in thousands) total', 'Perceptions of corruption',\n",
    "    'Healthy life expectancy (HALE) at birth (years) both sexes'\n",
    "]].sort_values('Total_CO2_emissions',\n",
    "               ascending=False).dropna(subset='Total_CO2_emissions')\n",
    "\n",
    "# simplify column names\n",
    "emissions.columns = [\n",
    "    'Country', 'Continent_no', 'happiness_score', 'emissions', 'gdp_pc',\n",
    "    'population', 'percepted_corruption', 'HALE'\n",
    "]\n",
    "\n",
    "# drop rows with NA anywhere\n",
    "emissions.dropna(inplace=True)\n",
    "\n",
    "# dict for mapping\n",
    "Continents = {\n",
    "    1: \"Eastern Mediterranean\",\n",
    "    2: \"Europe\",\n",
    "    3: \"Africa\",\n",
    "    4: \"Americas\",\n",
    "    5: \"South America\",\n",
    "    6: \"South-East Asia\",\n",
    "    7: \"South & Eastern Asia\"\n",
    "}\n",
    "\n",
    "# inserts the new column at position 2 in the df\n",
    "emissions.insert(2, 'Continent', emissions.Continent_no.map(Continents))\n",
    "emissions['emissions_pc'] = emissions.emissions / (emissions.population * 1000)\n",
    "\n",
    "# rearrange columns\n",
    "new_cols = [\n",
    "    'Country', 'Continent_no', 'Continent', 'happiness_score', 'gdp_pc',\n",
    "    'emissions', 'emissions_pc', 'population', 'percepted_corruption', 'HALE'\n",
    "]\n",
    "\n",
    "emissions = emissions[new_cols]\n",
    "emissions.to_csv('emissions_and_happiness.csv')\n",
    "emissions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>Continent_no</th>\n",
       "      <th>Continent</th>\n",
       "      <th>happiness_score</th>\n",
       "      <th>gdp_pc</th>\n",
       "      <th>emissions</th>\n",
       "      <th>emissions_pc</th>\n",
       "      <th>population</th>\n",
       "      <th>percepted_corruption</th>\n",
       "      <th>HALE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>Central African Republic</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Africa</td>\n",
       "      <td>3.083</td>\n",
       "      <td>0.026</td>\n",
       "      <td>252.82</td>\n",
       "      <td>0.000059</td>\n",
       "      <td>4265.0</td>\n",
       "      <td>0.035</td>\n",
       "      <td>37.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Eastern Mediterranean</td>\n",
       "      <td>3.203</td>\n",
       "      <td>0.350</td>\n",
       "      <td>692.50</td>\n",
       "      <td>0.000027</td>\n",
       "      <td>26088.0</td>\n",
       "      <td>0.025</td>\n",
       "      <td>36.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>Tanzania</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Africa</td>\n",
       "      <td>3.231</td>\n",
       "      <td>0.476</td>\n",
       "      <td>4671.60</td>\n",
       "      <td>0.000118</td>\n",
       "      <td>39459.0</td>\n",
       "      <td>0.147</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>Rwanda</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Africa</td>\n",
       "      <td>3.334</td>\n",
       "      <td>0.359</td>\n",
       "      <td>604.56</td>\n",
       "      <td>0.000064</td>\n",
       "      <td>9464.0</td>\n",
       "      <td>0.411</td>\n",
       "      <td>38.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      Country  Continent_no              Continent  \\\n",
       "154  Central African Republic           3.0                 Africa   \n",
       "153               Afghanistan           1.0  Eastern Mediterranean   \n",
       "152                  Tanzania           3.0                 Africa   \n",
       "151                    Rwanda           3.0                 Africa   \n",
       "\n",
       "     happiness_score  gdp_pc  emissions  emissions_pc  population  \\\n",
       "154            3.083   0.026     252.82      0.000059      4265.0   \n",
       "153            3.203   0.350     692.50      0.000027     26088.0   \n",
       "152            3.231   0.476    4671.60      0.000118     39459.0   \n",
       "151            3.334   0.359     604.56      0.000064      9464.0   \n",
       "\n",
       "     percepted_corruption  HALE  \n",
       "154                 0.035  37.0  \n",
       "153                 0.025  36.0  \n",
       "152                 0.147  40.0  \n",
       "151                 0.411  38.0  "
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emissions.sort_values('happiness_score', ascending=True)[:4]"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# replot\n",
    "- relations plot can switch betwen kind = 'scatter' and 'line' and has a few parameters to encode <br>\n",
    "features namely:* size, hue, style*.\n",
    "- source/df is given to the function with data=df and than the features can be called by name\n",
    "- set_theme can change many aspects of the appearance, context, style, etc can be called seperatly\n",
    "- height and aspect (the ratio of the width to the height) are used to change the figure size\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## scatter"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### simple scatter plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 755.175x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot = sns.relplot(\n",
    "    data=emissions,\n",
    "    kind='scatter',\n",
    "    x=\"happiness_score\",\n",
    "    y=\"emissions_pc\",\n",
    "    style='Continent',\n",
    "    hue='Continent',\n",
    "    size='HALE',\n",
    "    alpha=0.6,  # transparency\n",
    "    height=6,\n",
    "    aspect=1.4)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### fancy scatter plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1179.1x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_theme(context='talk', style='white', font='sans-serif', font_scale=0.8)\n",
    "\n",
    "# color mapping dict\n",
    "hue_colors = {\n",
    "    'Eastern Mediterranean': 'k',\n",
    "    'Europe': 'green',\n",
    "    'Africa': 'brown',\n",
    "    'Americas': 'red',\n",
    "    'South America': 'darkorange',\n",
    "    'South-East Asia': 'gold',\n",
    "    'South & Eastern Asia': 'blue',\n",
    "}\n",
    "\n",
    "plot = sns.relplot(\n",
    "    data=emissions,\n",
    "    kind='scatter',\n",
    "    x=\"happiness_score\",\n",
    "    y=\"emissions_pc\",\n",
    "    style='Continent',\n",
    "    hue='Continent',\n",
    "    size='HALE',\n",
    "    alpha=0.6,  # transparency\n",
    "    height=8,\n",
    "    aspect=1.7,\n",
    "    palette=hue_colors)\n",
    "\n",
    "sns.move_legend(plot,\n",
    "    loc=(0.05, 0.23),\n",
    "    fontsize=12,\n",
    "    frameon=True,\n",
    "    facecolor='honeydew',\n",
    "    labelspacing=0.55,\n",
    "    handletextpad=0.2,\n",
    "    borderpad=0.9)\n",
    "\n",
    "# Texts are aligned relative to their anchor point depending on the properties\n",
    "# horizontalalignment and verticalalignment\n",
    "plt.text(\n",
    "    x=2.9,\n",
    "    y=0.058,\n",
    "    s=\"Continents are encoded with both 'style' (different forms) and \\n'hue' (different colors) to make \\\n",
    "them easiers to distinguish. \\nThe size of the dots represents the Healthy life expectancy (HALE) at birth in years\"                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    ,\n",
    "    ha='left',\n",
    "    va='top',\n",
    "    size='medium',\n",
    "    color='black',\n",
    "    fontweight=12)\n",
    "\n",
    "ax= plt.gca()\n",
    "ax.spines[[\"left\", \"top\", \"right\"]].set_visible(False)  # hide spines\n",
    "\n",
    "ax.set_xlabel('Happiness Score', fontsize=16)\n",
    "\n",
    "ax.set(yticklabels=[]) # hide y ticks\n",
    "ax.set_ylabel('Emissions per capita', fontsize=16)\n",
    "ax.yaxis.set_label_position(\"right\") # y label to the right\n",
    "plt.title(\"Happy, healthy and sustainable?\", fontsize=22, pad=17)\n",
    "\n",
    "ax.annotate('Qatar', xy=(0.56, 0.92), xycoords='figure fraction', color='darkslategray', fontsize=12)\n",
    "ax.annotate('Finland', xy=(0.76, 0.27), xycoords='figure fraction', color='darkslategray', fontsize=12)\n",
    "ax.annotate('Central \\nAfrican Rep.', xy=(0.04, 0.155), xycoords='figure fraction', color='darkslategray', fontsize=12)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## line graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>country</th>\n",
       "      <th>year</th>\n",
       "      <th>region</th>\n",
       "      <th>population</th>\n",
       "      <th>life_expectancy</th>\n",
       "      <th>age5_surviving</th>\n",
       "      <th>babies_per_woman</th>\n",
       "      <th>gdp_per_capita</th>\n",
       "      <th>gdp_per_day</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4939</th>\n",
       "      <td>Germany</td>\n",
       "      <td>1800</td>\n",
       "      <td>Europe</td>\n",
       "      <td>22886919.0</td>\n",
       "      <td>38.37</td>\n",
       "      <td>65.975</td>\n",
       "      <td>5.40</td>\n",
       "      <td>1639.0</td>\n",
       "      <td>4.487337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4940</th>\n",
       "      <td>Germany</td>\n",
       "      <td>1810</td>\n",
       "      <td>Europe</td>\n",
       "      <td>23882461.0</td>\n",
       "      <td>38.37</td>\n",
       "      <td>65.975</td>\n",
       "      <td>5.35</td>\n",
       "      <td>1759.0</td>\n",
       "      <td>4.815880</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4941</th>\n",
       "      <td>Germany</td>\n",
       "      <td>1820</td>\n",
       "      <td>Europe</td>\n",
       "      <td>25507768.0</td>\n",
       "      <td>38.37</td>\n",
       "      <td>65.975</td>\n",
       "      <td>5.37</td>\n",
       "      <td>1887.0</td>\n",
       "      <td>5.166324</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4942</th>\n",
       "      <td>Germany</td>\n",
       "      <td>1830</td>\n",
       "      <td>Europe</td>\n",
       "      <td>28016571.0</td>\n",
       "      <td>38.37</td>\n",
       "      <td>61.144</td>\n",
       "      <td>4.78</td>\n",
       "      <td>2024.0</td>\n",
       "      <td>5.541410</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4943</th>\n",
       "      <td>Germany</td>\n",
       "      <td>1840</td>\n",
       "      <td>Europe</td>\n",
       "      <td>31016143.0</td>\n",
       "      <td>38.37</td>\n",
       "      <td>51.443</td>\n",
       "      <td>4.90</td>\n",
       "      <td>2102.0</td>\n",
       "      <td>5.754962</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12710</th>\n",
       "      <td>Sweden</td>\n",
       "      <td>2011</td>\n",
       "      <td>Europe</td>\n",
       "      <td>9462352.0</td>\n",
       "      <td>81.70</td>\n",
       "      <td>99.700</td>\n",
       "      <td>1.90</td>\n",
       "      <td>43709.0</td>\n",
       "      <td>119.668720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12711</th>\n",
       "      <td>Sweden</td>\n",
       "      <td>2012</td>\n",
       "      <td>Europe</td>\n",
       "      <td>9543457.0</td>\n",
       "      <td>81.80</td>\n",
       "      <td>99.700</td>\n",
       "      <td>1.91</td>\n",
       "      <td>43263.0</td>\n",
       "      <td>118.447639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12712</th>\n",
       "      <td>Sweden</td>\n",
       "      <td>2013</td>\n",
       "      <td>Europe</td>\n",
       "      <td>9624247.0</td>\n",
       "      <td>81.90</td>\n",
       "      <td>99.700</td>\n",
       "      <td>1.93</td>\n",
       "      <td>43448.0</td>\n",
       "      <td>118.954141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12713</th>\n",
       "      <td>Sweden</td>\n",
       "      <td>2014</td>\n",
       "      <td>Europe</td>\n",
       "      <td>9703247.0</td>\n",
       "      <td>82.10</td>\n",
       "      <td>99.700</td>\n",
       "      <td>1.93</td>\n",
       "      <td>44029.0</td>\n",
       "      <td>120.544832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12714</th>\n",
       "      <td>Sweden</td>\n",
       "      <td>2015</td>\n",
       "      <td>Europe</td>\n",
       "      <td>9779426.0</td>\n",
       "      <td>82.10</td>\n",
       "      <td>99.700</td>\n",
       "      <td>1.93</td>\n",
       "      <td>44892.0</td>\n",
       "      <td>122.907598</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>243 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       country  year  region  population  life_expectancy  age5_surviving  \\\n",
       "4939   Germany  1800  Europe  22886919.0            38.37          65.975   \n",
       "4940   Germany  1810  Europe  23882461.0            38.37          65.975   \n",
       "4941   Germany  1820  Europe  25507768.0            38.37          65.975   \n",
       "4942   Germany  1830  Europe  28016571.0            38.37          61.144   \n",
       "4943   Germany  1840  Europe  31016143.0            38.37          51.443   \n",
       "...        ...   ...     ...         ...              ...             ...   \n",
       "12710   Sweden  2011  Europe   9462352.0            81.70          99.700   \n",
       "12711   Sweden  2012  Europe   9543457.0            81.80          99.700   \n",
       "12712   Sweden  2013  Europe   9624247.0            81.90          99.700   \n",
       "12713   Sweden  2014  Europe   9703247.0            82.10          99.700   \n",
       "12714   Sweden  2015  Europe   9779426.0            82.10          99.700   \n",
       "\n",
       "       babies_per_woman  gdp_per_capita  gdp_per_day  \n",
       "4939               5.40          1639.0     4.487337  \n",
       "4940               5.35          1759.0     4.815880  \n",
       "4941               5.37          1887.0     5.166324  \n",
       "4942               4.78          2024.0     5.541410  \n",
       "4943               4.90          2102.0     5.754962  \n",
       "...                 ...             ...          ...  \n",
       "12710              1.90         43709.0   119.668720  \n",
       "12711              1.91         43263.0   118.447639  \n",
       "12712              1.93         43448.0   118.954141  \n",
       "12713              1.93         44029.0   120.544832  \n",
       "12714              1.93         44892.0   122.907598  \n",
       "\n",
       "[243 rows x 9 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gapminder = pd.read_csv('data/gapminder.csv')\n",
    "gjs = gapminder[gapminder.country.isin(['Germany', 'Japan', 'Sweden'])]\n",
    "twenthies_century = gjs[gjs.year>=1900]\n",
    "twenthies_century"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7fc577a27a00>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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6nLMqqivFY189FTKWkbszJCwWRRH/O+uX8AS82lidrwFBRYHUYgdypMnZ5fV2lKKoKKtuRG5xLXJL6r75vRaF5fUIBNULvv9TDzeFxMGgAkkSz7KaiGhgEVRVvfD/0/ZBBQUFeOyxx7B79+6zrh0zZgyeeeYZDBkypN11u3btwq9//WsUFRW1uWbEiBF47rnnznqvrjBr1iwUFhYCAJKSkrB27dpur4GIiIiIiKg7BRtr4SvPg68sD77SbKiKgpg5P+43/XZ/+cWfkO9q/hrUKlvw6rxnQt5fYW0JXN46GCUZBp0BRp0BTqO9V+wgrq7zIO+bHcCnQ+G8krp2dw+fDnvbkpbkaHfeJEuAAIiC0G/+HhARdZYBGRaXl5fjzjvv1IJTAIiPj8eIESMQExODsrIyHD16FGVlZdp8REQEli1bhpSUlFbveejQISxYsACNjU0/3qLX6zF9+nTExsYiPz8fO3fuhKIoAICYmBh88MEHiI/v3pNjGRYTEREREVF/pfg88FUUwFeWC395nhYQBxtqwtam/uwV6KwR3V/kefL4PXhj73JMTBiDKckTQubKGypR1lAZMjbImQSrbNGeB5UgREHs8WC0ps6LXUdKkFXUHAy76n1h6zolDAbgbiNwlkQBsl4M2VlNRERNBmQbimeffVYLTWVZxhNPPIH58+dDp2v+4/D7/Xj//ffx9NNPw+/3o7q6Gk8++SRefPHFsPv5fD785Cc/0YLiMWPG4D//+U9IGHzy5Ek89NBDyM/PR3l5OX71q1/h7bff7uJ3SkRERERE1L+owQD8VUXwlefDV5bbFAqX5yNQXQqgY3uh/FUlEI0WiLre3yLwWMUp/L9tr6O0oQI7CvdieHQ6nEa7Nu8w2lDWUAm9qIPdaIPDYINRZwi5R0/uIG5w+7H1QDE2ZhZg38kKKMqF71fLLnR1aN3zS/ZgUIIdg+Lt3/xuQ3KsFXpdz++oJiLqrQbczmK3241p06bB4/EAAH73u9/hu9/9bpvrX331Vfztb38DAEiShK1bt8LhCP0u5ltvvYU///nPAACn04lVq1YhKioq7F4nT57ELbfcAp+v6TunL730Eq644orOeFsdwp3FRERERETUl9XtW4uKL1+B6ve2uy5hwaKz3ks0WmGIG9xJlXWNtVkZ+L9d76Dll+0XJ47DY5c9HLJLOKsqD4MjkiEKvWOnrNcfxM7DJdiYWYhdR0rhDygh82fbOXwmSRJglHUwyhKMBh10kggBwLG86lbXW016pMbbYDbqz/ctEBENWANuZ3Fubq4WFAPAzTff3O76OXPmaGFxMBhEfn5+WFj87rvvao8ffPDBVoNiABg6dChuueUWLF26FADw3nvvdWtYTERERERE1JfpoxKh+r1nDYPluLQ25wRBBEQRgtT7g8TRscMhSzK8LQ6n2110ANsLMjEtZZI2lh6Z2hPlhQgEFWQeK8PGvYXYfrAYbm/bPYfbIooCDLLUFAp/Ew4bZB10Uuu9hSePiuuM0omIqIUBFxafbhVxmt1ub2NlE6fTGfL8dN/h07Kzs5GVlaU9v+WWW9q9X8uweMuWLWhoaIDFYmn3GiIiIiIiooHCU3gccuwgiHpD2JwhaQR0jpiz3sNXmgNBL0PUGyHoDRDlpt8FndzjfXvPlO8qQrW7ua2CLOkxMmYoACDeGoP7JtyGl3a9AwAQBRG3jbkJlySN75Faz6QoKg5lVWJDZgG27C9CXaO/Q9f94f+2ICnW+k17CBsGxdsxOMGO2AgzRLF3/fchIhpoBlxYnJiYGPL85MmTGD16dJvrjx8/rj3W6/UYMmRIyPz27du1x2lpaYiJaf+Dy7hx42A2m9HY2Aiv14u9e/dixoxz+xEcIiIiIiKi/kbxe1H+2b/RcDgDsbf+CtZR08PWCIIAy+gZKH57oTYm2aMhx6RCjk1t+j0mFfropF7Tj1hVVWRX5yMjbycmJozB2LiRIfOfHF2NDTnbtOcx5kj8e86T2vOr02dgV9F+lNSV4SfT7seQyEHdVntrVFXFifwabMwsxKa9haiq9YStaa3NhCAAVrMMp9UAm0WGxFCYiKhXGnBhcXx8PEaPHo3Dhw8DAJ5//nksXrwYkhTe4D4QCOAf//iH9vxb3/pW2C7gU6dOaY/HjBlz1tfX6XQYPnw49u7dq13PsJiIiIiIiAayYIMLJe8/DW/RCQCAHJ3U5tqIy++AY/JsiAZT027hHjy8rT2KqmD5oVXYnLcTxXVlAIBqtyssLJ436npcmdYcjOvF0C/TBUHAby57WHvcnYKKitKqBuQW1yK3pA45xbU4mV+D0qrGs18MAAJgMerhtBlgt8jQSb2jpzIREbVtwIXFAPDb3/4WDzzwAAKBADZs2ID58+fj4YcfxpgxYxATE4OysjIcOHAAixcv1nYWX3zxxfjtb38bdq+cnBztcUJCQodePz4+XnucnZ19YW+GiIiIiIioD/NVFKBk6ZMI1JRpY0F3PVQl2GoQLOoNrbao6G1EQcTeksNaUAwAO4v2wxvwwXCOu567OiRWVRVVtR7kltR9EwzXIre4Fnml9fD5w3sPn+2AOrNRB4fVAIfVAL2OATERUV8yIMPiqVOn4pVXXsFPf/pT1NbW4siRI/jpT3/a6tqYmBjcfvvt+NGPfgS9PvwAhJqaGu1xdHR0h16/ZasKl8vVzkoiIiIiIqL+y513CKXL/gbFUx8yXvzWHxAz9yewjbuyZwo7By5PLbbm70F2dT4ennJvyNyM1Mk4Udm8Qcgb8GJ30X5cmjpZG1tx5Mt221B0tkaPHznFtSG7hfNKajvcb7gtRoMEh9UAp9UAWd87d3sTEdHZDciwGACmT5+OdevW4eWXX8bLL7+MYDD8u6WSJOGqq67C7NmzWw2KgdAD8wyGjn13u+W6Mw/cIyIiIiIiGgjqD25C2Wf/DwgGwuYc0+bCOnZmD1TVcUfLT2H54ZU4UHoMitp0EPrckdciyd78k6TXDpmJQc5k7ble1CHWGrrJ6HsX3437J96hPe+KXcT1bj+27i/CxsxC7D9ZDkVtf/3Zdg6fJuvFpoDYZoBRHrDxAhFRvzJg/2+en5+Pp556CuvWrYOqqoiNjcXEiRPhdDpRU1ODzMxMlJWV4f3338cHH3yARx55BD/+8Y/D7uP1erXHbQXKZ5Ll5h858njCDwMgIiIiIiLq64LuOnhyD0GOTYXOGae1lFBVFTVbPkT1+nfDLxJERF//IOwX39DN1bZNURSUNlRAFATEWZt/StSv+LGv5EjI2oy8nbhj7BztuV7SwWGwQRIlOIw2mHTGsDD4XFtSdJTHG8DOw6XYkFmA3UfLEAgq2tzZwuC0JEer44IAiIIASRQgSQJEQej2PspERNS1BmRYfPjwYdx3332ora2FLMv4/e9/j9tvvz3kkLtgMIilS5fi6aefhs/nwwsvvACDwYDvf//7IfdquUvY7+/Yj+34fD7tsdFovMB3Q0RERERE1Pt4C4+jdPkzAABBJ0MfnQI5NgWqz4uGo1vD1gt6I+Ju/QXMQy/u7lJb9cqu93CyKgcFtcXwBf24Ov0y/PCSb2vzY2KGw2m0o8ZTq41l5O7C7WNuDglQkx0dO9umMwQVFbuPlmLDngLsOFQCjy/8J2g7Ire4FkZZglHWwSBLMBqaHvOAOiKi/m/AhcVer1frVQwAf/rTnzBv3rywdZIk4Z577oHBYMDjjz8OAPjnP/+JOXPmhBxQZzabQ+7d0Rpau56IiIiIiKi/kGNSkbBgUatz9smhO4cFSQ85JhWiwdQdpYVQVAUevxdmOfS1T1blIKs6T3ue7yoKmRdFEYtm/RJV7pqm54IAm2yFqqrdvttWUVRk7C/CO18cRWF5/VnXP744AwCgkwQkx9owOMGO1Pim3wfF2xETYeKOYSKiAWrAhcWff/458vPzAQDp6emtBsUt3XrrrXjppZeQk5MDv9+PTz75BD/4wQ+0eYej+cdzKioqOlRDy3UtryciIiIiIuorVFVFsL4aOltkq/OKv+3NNHJcmvZYEEQIsgGC0H27VlVVRVZ1HjJyd2JL/m5MSBiDhy5ZELLmJ9PuD9k1LApiWBAca4lGhMkBnShBEqRuD1hVVcWuI6V4+/OjyCpqPjy9rTYTggDYzDLsVhkmgw4GfffXTEREvduAC4u3bm3+cacpU6acdb0gCJg6dSpycnIAAAcPHgyZT0tLw6ZNmwAAxcXFHaqh5bq0tLR2VhIREREREfU+wcZalK96Ed6CY0j+wXOQzPawNWUfPQdfWU6r15/ecSwarZBjUjo1KD5afhI7CveFjE1Lnojh0ena82cy/g+7WqzZXpCJ7026Czqp+Utkgy70AHNFVeBXApCl5rNqJFGEJHbsoPPOduBkBd76/AiO5FS1v1AArCY9HFYDHBYZEltJEBFROwZcWFxeXq49djqdHbomIiJCe1xfH/ojPUOGDNEeHz58+Kz3CgQCOH78eKvXExERERER9WaqqsJ9ag/KP/sPgg01AIDyVS8ibv6vw3aoJnx7IXzlefCV5YX8rvrcKH5nEeyTrkPUtfdrB991lMtTi+zqfOS5ipDnKsQ94+Yh0uzU5mu99fjs2JqQaxJtsSFh8fCotJCwuMHXiL0lhzE56SJtrLS+HEv2f4wURyJSHIlIdSYBqnpOtXaF43nVeGvVEew9Ud7mmscXZ2DkoAjMnJiMy8YnIsLOs3KIiKhjBlxY3PJAOpfL1c7KZtXV1dpjm80WMjd16lTtcXZ2NioqKhAdHd3mvQ4dOoTGxkatlgkTJnSoBiIiIiIiou4UdNfDX5EPX1kufOX5WuCreEI30DQe2476Axtgu+jKkHHJbIdp0FiYBo3VxlRVRbCuCoJO3+pu5LN5bc9SfHliA1Q0h7aXplwcEhanOhKx8KpHQ65LtMWGPJ878lpcO+TykDHdGaH1mNjh+NM1vz7nGrtCpcuNzfuKsDGzAMfzatpde8noOCy4YRTSk9jykIiIzt2AC4sTExO1xzt27DjrelVVQ9alpqaGzKelpSE9PR1ZWVlQVRUrVqzA9773vTbv99FHH2mPp0+fDovFci7lExERERERdQnF04CGY9vRcGwHvCWnEKxru73BmQfXSeaOBZOCIEBnjzrvGpNs8VChhoTBcZbQzTpx1hjYDNaQMVmSQ56LggijzghPwNNUk6gLC4t7Wm2DD1v2F2FjZiEOZlWEbGpurSexxaRHfJQZZqM+bI6IiKijBlxYPH36dLz99tsAgFOnTuGTTz7B3Llz21y/YsUKZGdna88vu+yysDX33HMP/vznPwMAXn31Vdx6662IjAw/5OHUqVP48MMPQ64jIiIiIiLqKYrfi8aTu1F/aDPcJ/dADfoBhIfBZ2p5QJ2okwGp87+0rHa7oBd1sBqaN9hcnT4DnxxbHbLOEww9SE8QBJQ1VMITaB6Pt8YgwhQaaHsCHhTVlWJo5OBec8hbIKggY18R1u8pQOaxMgSVs7e9MBl1iI80w2LS95r3QUREfZegqr2g6VI3CgQCuOmmm7QD64xGI5544gnMnz8fotjc6D8YDGLZsmV46qmn4PU2fcgYN24cPvjgg7B7+nw+3HDDDSgsLNTW/fvf/0ZcXJy25tSpU3jooYeQl5cHALjkkku00Lq7zJo1S6sxKSkJa9eu7dbXJyIiIiKi3qV0+d/RcHRr2PjZwmIAEGUT9NHJEPWde8BbnbceHx9djS9OrMN1Q2biOxNvC5lfn70V/9nxJgDApDdiatJE/Gjqdzq1hp6QXeTCs+/sRm5JXYfWD06wY8ENIzFlTDxDYiIi6jQDLiwGgL179+K+++6Dx+PRxuLi4jBx4kQ4HA64XC7s2bMHZWVl2rzdbseSJUvaPJDu0KFD+Pa3vw232w0AkGUZ06dPR0xMDAoLC7F9+3YoigIAiImJwbJly5CQkNCF7zIcw2IiIiIiooEl6K6DrzwPxuSRrR4kV39oE8pWPH/2G0k6yFHJkGNTIcekwpA4FMZBYyAI4tmvPQfrsrbg9cxlcAeavlbTizr866b/RZS5+dDxoBLE5tydGBM7HFHmiD4flAYVFR+tP4l3vjiCQLDpy/PW2kwAgCgKsFtkOK0GWM3cSUxERJ1vwLWhAIAJEybgjTfewGOPPYbc3FwAQGlpKb744otW1w8fPhzPPvtsm0ExAIwZMwavvPIKfv3rX6OoqAg+nw8bNmxo9V7PPfdctwfFRERERETUPwQ9DfBXFkLxuqH63FC8jVB8HijfPFa9bvhrSuAry0ewvqnvcPJD/4IclRR2L8uoGUiwRQGq0mJUgGi0QjQYIeqNEGQjBJ3c6cGkqqpQoUJsETg7TXa4A56QnsTeoC/kOkmUcEXatE6tpaeUVDbguff24HB22/2hBQGwfRMQ28wyRJEBMRERdZ0BGRYDTYHxypUrsWbNGqxZswYHDx5ERUUF3G43zGYzYmJiMG7cOFx33XWYNWtWSIuKtkyePBmffvopPvzwQ3zxxRfIy8tDTU0NIiMjMXToUMyePRtz586FLMtnvRcREREREVFLit+LqrVvoS5zjdZbuKN85XmthsWCKEIy2RBsrIVoNEMyOyCZ7RC6oAfxafmuImzO3Yktebtw38TbMDlpvDY3Lm4UbHLoIeB13noo1piQULmvU1UVX+/Mw0srDsDtDYbN//7FDEwYFoOZE5MxfVwCLCYeWkdERN1jQLahGKjYhoKIiIiIqG/yVRai7MNn4Str+snIczmADgAEnb7pILpWKH4vBEGEoOvaQLLe24BX9yxBRt4ubezS1Mn4+fQHQ9a9vOtdrD61CSadETePuBo3jbgaZr2pS2vrTjV1Xvy/ZXux/VBJq/MxESY8etckjBsa3c2VERERDeCdxURERERERH1B3cGNqFj1f1D9nrMvbouitDnV2QfUtaWkvhxb8/cAgNZmQhQEKKoSsmt4wfhbccuoG+A0OaBrpc9yX1Ve7camvYX4aP1J1NR7W10za3IKfjBvHHcSExFRj2FYTERERERE1EtVZ3yI6vXvhI0Xv72w9QtECaJsgmS2Qx+TAjl2UNOBdPFpEOX4Lq62fUOjBmP+6Bux7NBKbUxRVdR56+Ew2rUxk94Ik97YEyV2Ole9Fxn7i7AxsxCHsiq18TMPsJMkAUkxVjis3RPcExERtYVhMRERERERUTdRAj40HtsOxdMAXUQC5OgkSLaoNg+Ps4ycipoty6H6QncVO6bNhXnYJRBlE0SDCaJsgmAwQZD0nX4Q3fkqqC1Gki0+pJ5bRt+IzOJDWLTuOUSYHLg0ZTIcRltIWNzXNXr82HawGBsyC7H3eDkUpf3OjzazHkmxNuh1/acnMxER9V3sWTyAsGcxEREREVHP8ZZkoWzF8/BXFoaMC3oj9FGJkKOSEDPnx2GHy9Uf3ISyj58HAIgmG2Ln/gTmoRd3V9nnLKgEseLIl/jg0Ep8d+IduH7YFSHzRXWl2Ft8CDcMvbJDB4n3BV5/ELuOlGJjZgF2HS6FL9B224/TDLKEB+eMwQ3TB/eagJ+IiIg7i4mIiIiIiLqQqipwbf8UVeveBZQAgNYPqBMkXVhQDADWsZdDTkiH6vdBjk7u8oPoLkRRXSn+vf0NnKjMBgC8tW85xsWNQKK9uQVGoi0Oiba4niqx0wSCCvYeL8emvYXYeqAYbm9AmzuzzURLoijAYZURE2GGQd9/ejITEVH/wLCYiIiIiIioiwRqK1H+6Qtw5xw461pB13a/Wn1kYtOaXr4DNRAMaEExAPiCfryw/XX86epf94vD6lRVxeHsKmzYU4CM/UWobfB16DpBAOwWGQ6rATazDFHs3f8diYho4GJYTERERERE1AUajm5H+ar/QHHXh821dkCdbeK1iJn9UKv36k0hsaqqyK0pREbeTqRFpODS1MnaXIojEcn2BDx48V3amCzpoagKgL4bFquqir3Hy/HW50dwIr/mrOsfX5wBSRQwcUQsZk5MwtQx8TAbe++OcCIiotMYFhMREREREXUixedB5er/om7vmlbndfZoRN/wA0AQ4KsshP+bX4aEId1c6bn75OhqrMvegsLaEgDAqJhhIWGxIAiY0eJ5hNGBOGsMpD7cm/hwdiXe+vwIDp6q1MbabDMhABajHg6rAQ6rDJ3Ud983ERENTAyLiYiIiIiIOom3OAtlK56Dv6qo1XnL6BmIvvGHkIwWAIB56KTuLO+CnazKQWFtCRZe9ag25g/6oZead83OGXkN8l3FiLVEwWaw9kSZneJUQQ3e/uIodh0pPetak1EH5zcBsV7Xd3dQExERMSwmIiIiIiK6QKqqwLXjM1StfQdQAuEH2AkS9JEJkCyOXtVSojV13npsy8/E3pJD+MWl34fUotfwZamXYFv+npD1Lm89os0R2nNZkjEkclC31dvZ8kvr8M6XR5Gxr/XAH2hqM5ESZ8XMicmYOSEJiTF9NxQnIiJqiWExERERERHRBVK9brh2rASUQNicaDBDH5UMUS/3QGUd5w/6sezQSnx27GsEvnkfh8qO46L4UdqaCQljYNIbsWjdcwCAKHMEvjXyOtww7MqeKLlTlVY14r2vjmLdrnwoatvrRg2OxL03jsLYIVG9PvgnIiI6V4Kqqu38M0j9yaxZs1BYWAgASEpKwtq1a3u4IiIiIiKi/sOTfwRFb/0PoCpNA4II52W3IeKy2yCIvb81wdv7PsInR78CAK3NhNNoR5I9PmRdSX05VFWBw2CHSW/s84FpVa0H7685ji+35SAQbPryuLWexEaDDvGRZljN+j7/nomIiNrCncVERERERESdwJgyChGX34HqjUugs0cjdt6jMKaM7OmyOuxbI6/FppztqPa4tLE6bz0UVYEoNB/UFm+N6YnyOl1tgw8frjuBTzdnw+cPtrnOIEuIizTDbpEZEhMRUb/HncUDCHcWExERERF1LVUJoiZjOeyTZ0My9e4+toqiQBTFkLG9xYfx1MYXAAB6SY+LE8bh/kl3IMLk6IkSu0Sjx4+PN2ZhxYaTaPSEtw05LTbSjLuvHYGrLk6GJIltriMiIupPuLOYiIiIiIioA9SgH7WZX8NfVYTo6x5odY0gSoi4/I5uruzcqKqKjTnb8cmx1fjfWb+ERTZrcxMSRuOGoVdCFEXcMfZmmPWmHqy086iqihP5NdiYWYi1u/JR1+hrc22EzYA7rxmO66YNhl7HkJiIiAYWhsVERERERETtUJUg6g9sQPWmZQi4ygAAETNuhWRx9kg9/qAfDX437AZrSHuIjihwFeONvcuwr+QIAOC1PUvxk2n3h6y5f9Id/abdQm5JLTZmFmJTZiGKKxu08dZ6EkuSgBinCVEOE0Sxf7x/IiKic8WwmIiIiIiIqBWqqqDh6DZUb1gCf2VhyJyvshgG2QxRL3drTZ8dW4N39q9AUAliSMQgPH3db0PmD5edgKIG4VcCyHcV4/JBU0JaSJTUl2tBMQBsyt2ByUkXYXrKxdpYXw+KSyobsGlvITZmFiKnuPas60VRQLTThGinEZLIncRERDSwsWfxAMKexUREREREZ6eqKtyn9qBq/XvwlWa3uc6UPgEJd/+h2+r66uRGvLL7PQDAwqsehc1gRaojMWRNVlUe3AGP9jzFkQi7obl3si/ox4nKbAx2JgMAcmoKIEt6DI0c3OdD4rySWrz9xVFsPVDcofWyTsTNl6Xj1quGwmE1dHF1REREfQN3FhMREREREX3DW3wKFV+9Bm/B0bYXCSKs465A5BV3d1td+0uO4NU9S0LG9GL4l3N+xQ8AWhisl/Rh1wx2psCoa9oRPSRyEGRJ7tNBcUllA9798ijW7ynA6a1QrbWZOE3Wi3BaDYh0GKHXSd1UJRERUd/AsJiIiIiIiAY8NehH9eblqMlYDqgKEhYsanWdZHZA54yFqO/enaiDI1IwPCodxypOAQAWrXsONwy7Eg9MulNb4wv68Yev/w6gaecxADgMNiQ7ErQ1giCgtL4cQTWIKHMEIoyOPhsUV7rcWLr6OL7anoug0v4PzOp0TQGxwyrDZND12fdMRETU1RgWExERERHRgOYry0XZJy+023JCMtmaQmLZ1I2VNbMbrPjDlT/D/9v+Orbl7wEATE68KGRNZWO19njRuucAAEMjB+Opa38Tsi7ZHg9Z1729ljuTq96LD9aewKqMbPgCSqtrHl+cAZtZj0svSsQVE5MxPDUCEg+tIyIiOiv2LB5A2LOYiIiIiKiZqgRRs/VjVG9cCiiBVtcYB41B5JX3wJg8spura52iKvjg0EpclnoJEu3xIXMBJYiSujKUN1ZCgIhkezyizBH9Zhetoqj4ZFMW3v3yCNzeYJvr4qPMuPu6kbh8QhL0Oh5YR0REdC64s5iIiIiIiAYcX2Uhyj95Ad6iE63O6yLiEX3D92FKG98jYas/6Mfyw59j3sjrYNQbtXFREHHH2DmtXqMTJSQ7EkLaTvQXZdWNeP69TBw4VQGg9Z7Eep2ImAgzIu2GfhOQExERdTeGxURERERE1C+pQT9URQnrL6yqKso+/Ad8ZTmtXmeffCMir1oAUTa2On8hAkoQa7MyEFACSLYnIC0iBTaDNay+xTvfxubcHcgsPojfXv4IIkyOTq+lL1BVFev3FODFD/ej0dP67m9JEhAbYUak3QiRrSaIiIguCNtQDCBsQ0FERERE/V3jid2oXPcW/FXFQDAA60VXInbOT8LWeQqOoejNJwC1ueetzh6NmJsfgSntorD15yOgBFHva4DTaNfGVFXFDz7+DVzeOm0syhyBJ674KZK+aSux5MDH+PDwF9p8tDkSv5v5CFIciZ1SV19R2+DDfz7Yh4z9Ra3Om4063HrlUMy5PB1mo76bqyMiIuqfuLOYiIiIiIj6Bdeuz1H55asAVCQsWAQAkMz2Vtcak0dg8K/fgRr0AwAESQdBJ19w+4Jqtwvrs7fiYNkxHK/IwpjY4fjtzEe0eUEQMCpmGK4fdkXIdQnWWABAg68R4+JGYVzcqJB5vTiwwtDdR0vxr6WZqKr1tjp/xcRk/OCWcbBb+u5BfURERL0Rw2IiIiIiIurTVFVB1bp34Nq6InxOUcIv+Iag0wOq0hQUSxf+pZEv6McvPl+EBr9bGztScRKKokAUmw9aGx07LOQ6gyRr82a9CTHmSFhkszYviRIM0sAIRT3eAP772SGs2pLT6rzFpMcj88fj8olJ3VsYERHRAMGwmIiIiIiI+iw16Ef5Z/9B/cGNIePFby8EABgShyHp/r+0eq0gCBBa9CX2BXzYkLMd67O3wBv0Y2jkIMwcPBWjY4d3qBZZ0mPGoEvw1cmNWHjVo9q4N+iDSWx+nSsGT0NWdZ723Khr7qksCAJirdHwBwPwBX0oqS9HmjOl3x/Y5g8E8cXWXLz/9XHU1LW+m3jC8Bj8/K6JiHKYurk6IiKigYNhMRERERER9UmKpwEly5+BJ+dA2JwuIh62i66CzhHTsXupCh776ikU1ZUCgBb2xllDr1dVFd6gD56AFy5PLVIciRCF5l3D3xk/H9NTLsZgZzIAIKemAI1+N0z65rDYqDNgWORgeIJeePxeGM84gA8A9JIO3qAPkSZnyK7k/iYYVLB2Vz7eW30M5dXNO7KfeniG9lgQgPgoC6Icxn4fmhMREfU0hsVERERERNTnBGorUbL0SfjKcsPmDInDEH/H7yBZHB2+nyiImJYyMeRgOQCw6EN3sXoDPpyqbn5Nl6cOEabm15F1MuwGK/JdRbDIFuS7ihBtjgi5hyAIkHXyN2ttbdZkbdGKor9RFBUZ+4rwzpdHUFje0OY6k0GH5DgrjDK/dCUiIuoOgqqqak8XQd1j1qxZKCwsBAAkJSVh7dq1PVwREREREdG585Xnofi9PyNYVxk2Zx56MWJv+QXEFu0lWlJVFUfKT+LLkxvww8nfhlluDoNr3C786LMnEFACTffSm/DavL+H7OxddXwtXs9cpu08NkgyhkQOCtnx6g8GIIliyI5jaqIoKnYdKcXbXxxBdlFtm+t0koj5s4birmtHQCfxz5GIiKi78NuzRERERETUZzRm70PZh89C8YTvRrVNvBbRN3wfgiiFzfmCfmzM2YYvT25Ebk0BAGBI5CDMHXmttsZpcuDyQVOwLnsLZEmPMbHDw1pAHCk/GfLcG/Sh3tcIm8Gijek74bC8/kRVVWQVurAxsxCb9hWGtJs4kygKuHpyCu66bgRiI/rvzmoiIqLeip9iiIiIiIio11ODflRtWALX1o8BqEhYsChkXueMg84e3WZPW0UJ4q19H8Lt9wBo6kmsF3VQVTXkmu9dfBe+d/Fd0Et6nPlDmKqq4uYRV+OGYVdqY1+cWI/bxswOCYupSWF5PTbuKcCGzEIUlteHzLXsSXyaw2ZAXIQZBjk87CciIqLuwbCYiIiIiIh6NV9FAco+/id8JVmtzArQRyVCZ23uCxxUgiisLUGqM0kbM+qNuHLwdHx+Yp025lcCcHnr4DTatTG9pG++cyvBc7I9AW6/BypUOIw2jIn9wQW+u/6lvtGH1TvysCGzAKcKXB26xm6RERtphsnAL0+JiIh6GnsWDyDsWUxEREREfY2qqih87bFWg2JBNiLu1l/BPGQiAEBRFKzL3oLlhz9Ho9+NF+c+DaPOoK0vrC3Bo58370hOj0jFXeO+hQkJo7v+jfRzbm8An2w6hY/Wn0KD29+hay4aGo17Z4/CyEGRXVwdERERdRS/dUtERERERL2WIAiImf0wCl//HfDNwXMAoI9JRdy8n0OOHQQAOFZxCi/tehf5riIATW0m3H5PSFicZI/HM9c/AUkQEWlywqQ3ttm2gjrG5w/i8605WPb1cbjqfdp4a20mAECvF+G0GuCwGriTmIiIqBfiv85ERERERNRtVCWIxuO7EKgth6CTm37pm34XdTJ0EXHQO+NCrjEkpCPyyrtRtfYtAID9ktmIvGoBRH1zECxA0ILi06rcNXAa7SGBcKojkQFxJwgEFXy9Mw9LvjqGCpen3bU6SYTDKsNhNcBs1PHPn4iIqBdjWExERERERN0i6K5D6Qd/gyfvcJtrnJfeisirvh027pg2F97SbNjGXgHz0Elhh88Nj07HtJRJ2Ja/BwCwaN1zAIC/X/9ESO9iBpXnT1VVVNV6sO9EOZasPo7iioY21/7vq9tw2fgkzJyYhNFpkZAksRsrJSIiovPFsJiIiIiIiLqc31WGkiVPwl9RAABIWLCo1XU6R2yr44IgIm5eU2uJ9w9+iqzqfPzmsodDwt97LpqHnYX7EFSCuCz1EswfMxtJ9vjOfzMDQH2jD7kldcgprkVuSS1yi2uRW1J31n7Eep2I2Zem4bZZw+C0GdpdS0RERL0Pw2IiIiIiIupS3pJslCz5M4INNWddK4it70D1BXz46tRGfHTkS9R56wEAu4sOYHLSRdqaeGsMHph4J9IiUjA0anBnlD6gqKqKdbvzsezrEygoq293bVhPYgGItBkRG2mCXid1YZVERETUlRgWExERERFRl2nM2ofS5X+D6gvta1v89sJW10dd/z04Jt8YNp5VnYc39y7Xni+86lEYJBmqqobsLr526OWdVPnA4qr34t8f7MPWA8UA2j6g7rS0JIf2WCcJkHUSRJEtPoiIiPo6hsVERERERNQl6vavR/nK/wBKMGwucta9sI6dCTXgg+r3QQn4oAa80DtbbxsxMmYoxsePxr6S5n7H3qAP1R4XIk3OrnoLA8KOwyV44f29qKnzdvia7EIX7BYZcZFmGGV+WUlERNRf8F91IiIiIiLqVKqqombLh6he/274pKRD7JyfwDrmslavVRQF2wsycaDkKL43+e6QubvHzdXC4qc2vIAbh1+Fwc4bOr3+gcLtDeDVTw7iy225YXOPL87QHut1IlJibUhNsGFwvB2DEuxIT3Ig0m7sznKJiIioGzAsJiIiIiKiTqMqQVR8+Qrq9nwVNicazIi7/TcwDRobNlfrqcPnJ9Zjfc5WVDZWAwCmpUzC2LgR2pr0yEG4NHUyLHoT5o+ejUizs8veR393NKcK/3h3D4orG1qdnzQyFtdNGYTUeBsSoy2QpNZ7SRMREVH/wrCYiIiIiIg6TeVXr7UaFEu2KCTc9QTk2NRWrwuoQXx45HOoqgqgqSexWW8M60n8s2kPhDync+PxBvDB2hNY9vVxKGr4vKyX8ODcMbhx+mD+ORMREQ1ADIuJiIiIiKjT2C66CrW7v0DCgkXamKg3QoxORm3Ajfqagm92DguYlNi8wzjS5MTEhLHYU3RAG2v0e1Dva4DNYNXGGGACHl8A/oACm1nu0Hp/QEHmsTJsyCzAjkMl8PjCe0gDwPBUJ35xz8VIirG2Ok9ERET9H8NiIiIiIiK6IL6AD4V1pSisLUFRXQmyhg/B/MZKJJujIBotkGNSsb/sGJ7c8IJ2TZwlGhMSRkMUmtsbzEq7VAuLF617DuPjR2PB+FtCwuKBqqi8HtsOlmDbwWIcza2CqgJOmwHpiQ6kJzX9GpLkQHyUBaIoIKioOHiqAhszC7FlfxHq3f6Q+z318IzmJwIQG2FGbISJYTwREdEAx7CYiIiIiIjOieL3QnHXQ2ePAgBsL9iLF7b/N2TN+NWvwJE2FTE3/hCCKMEqW0LmH5pyL9x+DyyyWRu7JGk8nrr2N7DKFjiNdhh1hq5/M72Uqqo4WVCjBcR5JXUh8yFh7zcqXR5U13lhlCX4AgpEQcCVk5Jx5aTksLVpSQ4ATSF0cqwVZqO+a94IERER9SkMi4mIiIiIqEOK68qQe2oHEjd9Cp0zDgkLFkEQBCTZ48LWTn/wX3BaIrTnKY4ELLzqUe35YGcydGLolyOCIGBIxKABu7s1EFRw8FSFFhBXujznfA9FUdHoCZx1XXaRC1F2I1LjbTDK/LKQiIiImvBTARERERERndXm3J14acdbUAI+/NRdjYu//w9ACQKSDoOdKSFBMABYjKGtI/SiHoOdoTtcFVUJO8BuoAXFbm8Ae46WYdvBYuw8XIKGDgS9APD44ox251vbeQwAZqMODqsBDqsBep3Y6hoiIiIauBgWExERERFRm3wBH17PXIY1WZubBkQB78TbMUlVoQZ8gChBFEXoRR38SlPQqRN1qPc1IsLkCLmXN+iDJEiQRBF6UQ9Z0g+4cBgAauq82H6oaffwvhPl8AeUsDVthb2SJMBmliHrJXh8AXi8Afj84defbjORXeiC0SDBYTXAaTVA1kud+2aIiIioX2FYTEREREREbarzNWBr7s6QsWKDHv968xHMq3Ij4dsLYUodA0/AC7PehER7HMx6U9h9BEFApMnZTVX3Tj5/EG99fgSfbspCUFE7fJ1eJ8JukWG3yLCYwgP2YFCB2xeExxuA2xuAxxdEaWUDrCY9HFYZqfH2zn4rRERE1E8xLCYiIiIiojYZ84/jtsIKvBFv08bMQQWjAhKSvvsXGBLSAQAXxY/qqRL7hFMFNXj23T3IL206qK6tncOnGWUJdqsMu8UAoyy1uwNbkkRYTSKsJh5SR0RERBeGYTERERERUT/mD/pxoPQYgmoQQSWIoBpEesQgJNhitTWegBdrTm1CQAkioARwUdwoDItKQ+Ox7Sj96B8YpQRxebWETRFmDHL78G2XglF3LYQhbnDPvbE+Iqio+HDdCbz75VEEgu3sJha+6SdsMcBmkWFguwgiIiLqAQyLiYiIiIj6KH/Qj3xXMXJq8pFdnY+c6nz8bPqDiLZEamsa/W78ZdO/Q657YNKdIWGxN+DFm3uXa8+r3S4klpei7KN/AGpTP9wbKusREQhiul+PlG//EXLsoC5+d31fSWUD/vHuHhzJqQqbe3xxBvQ6EROGx2Da2ARMGR0Pp83QA1USERERNWNYTERERETURx0uP4EnN7wQMpZVnRcSFltlCxZe9WjImnhrTMhzu8GG/97ybMiYSWdA2m+XQPF5tLEhggBBb4Qgip31FvolVVWxekceXvn4ANzeYNi8IAC3XDEUd147HGYjW0cQERFR78GwmIiIiIiol2rwNeJQ2XEcLD2GA2VH8dAlCzAieog2n+ZMCbsmpyYfU5IntBgJ73XbkaPV1DOuFBgUn5WqqsgprsU7XxzF9kMlra6JjTDh0bsnYeyQ6G6ujoiIiOjsGBYTEREREXWynOp8VLldiDZHIM4aA4NOPus1qqqGHGJWWl+On65aCFVtjnYPlB4LCYvtRhv+fPWv4VcC2phNtoTct9Vz0dTQuNivBHD/R78MGYuWbbg1ZSpmxIyAIOkgx6UxKG5DUUU9NmYWYmNmAfJL69tcd/UlKfjBvHHcTUxERES9FsNiIiIiIqJO9N7+j/HRkS9CxiKMDvxyxg8wPDpdG9tVuA9Z1XnIcxUhv6YIY+JG4AeT79HmYy3RcBhsqPHUamOHyo7htjGzQ+5t1Bng9wUgADDoDGHBtAAB6RGpTY8FAQIASQz9MsB3ai/+VOKF2uCCqAIigKQFjzRdI+khxw2GqGc/3ZYqXW5s2luIDZmFOJlfEzb/1MMztMeSJCApxgqHlX+GRERE1LsxLCYiIiIi6kQzB0/F11mb8eil3w8ZH+xMDnkeaYqASW/CmNgRAACT3hgyLwgCXrjpf3GyKrd5DAIUVYEoNO/wjbFEIcYSBYNODhlveZ8z791S46lMlC37C87c61r89kJI1kgkLFg04IPiQFBBQVk9sgprcKrQhRN5NTiaW3XmBu1W2SwykmKs0Ou4K5uIiIh6P4bFRERERESdKMkejyeu+Bk8AQ+CqgKgqfevXtKHrQu0aB8BCGGtKPSSrIXMoiBCEkQIZ/Qgbi8I7ghT2kUwpoyCJ/9I6PiQiYi56RHobBEXdP++KK+kFgdOVSKr0IWsIhdyi2vhDygha1ruHG6NXiciNtKMCJsh5L8pERERUW/GsJiIiIiI6AL4Aj7oJF3Irt7BEcnYVbgff9u8GAAQZ4nGCzf/KeS6el8DSurLQ8aGRaVBbhEqK0oQASUAi2yGTuyaj+6CKCFm7k9Q8PIvoPo8EPQGRF19H2yTrhtwIafHF8C/P9iH9bsLzut6nSTAbjXAaTXAbNQNuD8/IiIi6vsYFhMRERERnacGXyP+svHfSItIxf2T7tDCQUVVYDdY8aMp30FpfUVIAHxaYW0J/rzhX4g0OZHiSESKIxHx1hhEmZt38uokHRySvcvfh94Zh6hrH0Bd5mrEzP0p5KjELn/N3qasuhFP/ncHsgpdAM6+c/g0URRgt8hw2gywmvQMiImIiKhPY1hMRERERHQear31eHLDv5BdnY9jlVkw6GTcc9E8CIIAURAxPDo95EC7M42MGYrX5v0dVoOlW+r1u8ogWZwQzzgA7zTb+FmwjZ81IMPOQ1mVePqNHXDV+86+WAAMegkmgw52iwybWYYoDrw/MyIiIuqfGBYTEREREZ2jGk8t/rTueeTXFmtjHx/9CkadAfPHzO7QPWRJ3+qO467gKTyB0mVPw5g6BrG3PAqhjYPwBqIvt+XgxQ/3IxAMPa3u8cUZ0OtEDEqwY0iSA+nf/Bocb4fRwC+jiIiIqH/ipxwiIiIi6lcCwQD2lx5BYW0p3AEPPH4PpiRPxMiYIdqaGrcLf920GGkRKRgenY4R0UMQb41pNzBteficSWeE1WANW9Pgd4cdUtfTGo5uR9nHz0MN+NBwZAuqnLGImnVvT5fV4wJBBa98fBArM7Jbnb/96mG45/qR0EnhwToRERFRf8WwmIiIiIj6lVf3LMXXWZtDxqItkSFhsU7SYcGEW7XnVe4aeIM+DHYma2O+oB+NPjfcAQ/cfg8AFemRgwAABp2M/7ny58itKcBvVz8NALhtzE24fcxNvSoodu34DJWrXwfQvGvWtXUF9M442Cdd12N19TRXvRd/fXMXDpyqCJuT9RJ+fudEXD4xqQcqIyIiIupZDIuJiIiIqM9SVRUqVIgt2ipcPmgKvs7ajIVXPaqNxVqiQq6z6M0hwTAA6MQzPhqrKvSSDoV1NdqQoigQxabXkkQRaREpePra38JhtCHaHNlJ7+rCqUoQlWteR+3OVWFzgk6GaLb1QFU9T1VVHDxVieeXZqKsqjFsPtppwu/vn4Khyc7uL46IiIioF2BYTERERER9TqPfjY052/HlyQ349kXzMDlpvDY3KmYoUhyJIesVVQl5LggC8lyFUNTmHbfJ9ngYWhz+JooiEHoZ3AEPLLI55D7pEam9ajex4vOgbMXzaDyxM2xONNsRf8fvYEwa3gOV9RxVVZF5rBxL1xzD4ewqAMBTD88IWWM26pAab4dex7YTRERENHAxLCYiIiKiPuWlXe9iQ/ZW+JUAAODLkxtDwmJBEHD90JlYtO45AIBBknH9sCuwYHxz2wlVVbHs4EocKT+B4DdB8r9v/nPI6wQVBTk1BSFj7oA3JCw+/Xq9ha+iAKUfPgt/eV7YnD4yEfF3/R76iPgeqKxnqKqKHYdKsHTNcZzIr2lzXaTdiIQYC8Re9N+SiIiIqCcwLCYiIiKiXkdVVeS7ipDnKsRlg6aEzMmiDn4lENJmwhvwhewKvib9clwxeBpkSW41zBUEAf9z1c+hqAqOlp9CdnVeWBsJWdLj75tfhDvgRYo9AUOiBmNG6mREmyM6+d12jrr961HxxUtQ/V4AQMKCRdqcaLBAjkmBIA2Mj/+KomLLgSK8v+Y4sotqW13z+OIMiKKAH3xrLMYOiepVoT8RERFRTxkYnxaJiIiIqE84XpGFr7MykFl8EDWeWgiCgIkJY0N2846NG4lVJ9aFXFftdiHeFqM9F0URBtFw1tcTBRGjY4dhdOywsDlBELBo1i8RZ40JCaJ7G8XnQcWXr6J+/9pW5yWzA/roJAhC/2+voKoqth0sxlufH0F+aX27a4elOPHg3LEYkx7V7joiIiKigYRhMRERERH1GFVVQ3Z05ruKsC57CwBoO4eDZ/QbnpgwRpsTIMBhtMFh7JoD21KdSV1y387iK89rajtRURA2V/z2Qjhn3IaIK+4cEEHx8bxqvPrJwTZ7Ep9mNukQG2GG1aTnbmIiIiKiMzAsJiIiIqJuo6oqTlRmY3tBJnYXHcAjU+/DsKg0bX5i4tiwaxp8jbAbrNpzSZQQY46EXtLDZrBCJ0rdUntvoqoq6vevQ8UXL0MN+MLmRbMdsXN/CvOQiT1QXfcqrWrEmysPY+PewnbXWc16xHwTEhMRERFR6xgWExEREdE5KaorxbKDn0GWZDw85d4OX1daX44/rnsOlY3V2tjuogMhYXGkyYm0iBRkV+drB9QNjRyMp679Tci9Yq3RF/gu+i5VVVGx8j+o29d62wlj6hjEzvs5dLbIVuf7i3q3H8vWHMcnm7IQCCph848vzgAATB4VhzuvGY60REd3l0hERETU5zAsJiIiIhqgzmwB0RE7C/fh/217He6AB8/fuDBsvrS+ApIowawzQi/poW9xoFqsJRo/n/4gAkoQADDYmQyxlfYIv5zxQ9R7G2AzWGCRzTDpjOf4zvq2QH0NanetgifvMKxjZ8I+6bqQeUEQoI9MbOVKAc7L5iPi8jsg9OPd1l5/EF9ty8V7Xx1DXWP4rurTJo2Ixb2zR2FosrP7iiMiIiLq4xgWExEREQ0gFQ1VWJudgc25O1Hnrcf01Mm4Y+zNcBrt7V6nqAo+OLQSHxxapY2Z9KawNZWN1VChAgCssgWDWvT8FQQBNoMV1W5XyDX+YCAkVI4xRyLWMjAPHfOV5aL4vT8jWN/Ud1eOG9zqOsf0b8E0dBIUdx0AQJB00EclQzJZW13fH+SW1OLLbblYuysfDW5/m+sGJ9hx/81jMGlkbDdWR0RERNQ/MCwmIiIiGiAqGqvwyMonoKpNYe7pQ+J8rfS8PVO9twFjYkdgTOwIbcysD93xe7wiG39c9w/t+aJZv4CiKiG7h+0GmxYWF9WVwiZbEWUO7SE7UA8dc+cdQun7f4HibQQAJCxYBMnceogvCCLkmFSoPjcgCBD0hn55iJ3HF0DGviJ8uS0XR3KqQubOPMBOpxMRF2lGhM0wYP8OEREREV0ohsVERERE/VQgGICuxY7daHMkRkSl42jFKW1MJ0qIMp+9t63NYIXDYIPLW6eNubz1iBAkbVfw8cqskGsUVUWdtwEOo00bs+hNiLFEwSZbYNQx1Dut4eg2lK14HmowdMesGgi0eY0gCFAlHQRJ3+/+HHOKa/Hlthys213Q7i5iABBFAdFOE6KdJkhi//pzICIiIupu/W/7AREREdEAV9FYhb9tWoyFa58Nm7tmyOXa40XrnkNhbSkkMfQj4Y6CvcipLggZEwQB0ZZI/HfP+1i07jn8d8/7UFQlpH2EL+iHuUVrikXrnsOre5aE3SfWEgWT3tjvAs7zVbv7S5R++GxYUFz89kJUZ3zQ7rWiTu4Xf46KouJobhVe/+wQHvrL1/jJ39fhs83Z7QbFT/zfFqzbnY/4KDPiIs0MiomIiIg6gaCe/jlE6vdmzZqFwsJCAEBSUhLWrm39BG0iIiLqu6oaa/D7r/+GysZqLLzqUaRHpMLUol2Eoio4XpGFoKpAADAqZlhI2BhQgjhRmQ1FVWDRm5DqTAppI1FaX46PjnyJ7068HUadIez1FVVBUW0pTlRmI6gqGBGdjhRHa4exkaqqqN70Pmo2vR82J8hGxM1/DOb08T1QWffwB4LYd6IC2w4WY8ehElTXeUPmz2wzcZpeLyLSbkSEzQC9rv8e5EdERETUE9iGgoiIiKifaPA14smNL6CysVobq/a4QsJiURAxyJkMg06GACFsV2p5QwUUVQHQtFNYURSIUnNYHGeNwUOXLGizBlEQkexIQLIjobPeVr+kKkFUfPEy6jJXh81JFgfi7/w9DAlDeqCyrpdXUov315zAjsMlcHvbbrMRQgDsFhmRdiOspv7XdoOIiIiot2BYTERERNRP7C05hHxXkfZ80brnYNQZ8NLcv8DYIjA2nXEw3Wl5NYX49VdPhhyAl19bjMHOZIZznUjxe1G24nk0Ht8RNqdzxiHh7j9AH9n/wnavP4j31xzHh+tOIBA8+w83Pr44A7ERJlw3bRCunTIIkfbW/94SERERUedhWExERETUT8xIvQRBRcHiHW8i+M3u4Lkjr4VO7NhHPnfAg3hLDIrry7SxRr8bFY3ViLGc/RA8OjtVVVD24bNoPLk7bE6OS0P8XU9AZ3V2f2FdLPNYGRYv34/iygZtrL02E3aLDLvFAItRx29UEBEREXUjhsVERERE/cjMwVNhN9jw7JaXMH/0jZg36voOXzsiegieveEP+OLkenx+Yj3+svHfmDl4Ku6dML8LKx5Yand9oQXFCQsWaeOi0Qo5JgWC2L968NbUefHqJwexfk9Bu+uMBt03AbEMoywxICYiIiLqITzgbgDhAXdERER9x/GKLCiqisERya0eJHdaVWMNIs3OsPHyhkpEmyMvKHQLKkFI/Sy87Em+8jwUvvYbqAEfgOawWDI7oI9OgtDiIMHezuMLoKbOC6Osg8mog6wTQ/6uKYqK1Tvy8Ppnh1Dv9rd6j9gIE+bOHIJpYxMQF2nurtKJiIiIqB3cWUxERETUzQLBAPYUH0ROTT6q3C6kOVNw/bArQtY8u+UlVLtd0Is6jIkdjkmJ4zBz0FSYZZO25utTm/HfzPfxs+kP4pKk8SHXx1iiLrhOBsWdRw36Ufbxv7SgGACK314I84ipiJv/qz4VFH+6KQuvfXoIgaCijUmiAJOhKTg2G3QIBBUUlje0er0oCpg3cwjuvm4EjAZ+OUJERETUm/DTGREREVE3yqrKxdMb/w2Xt04bm5w0PiwsjjQ58dNpD4SMGXSy9rjOW494Wyx+N/PHAIBqdw0iTM6uK5wuSNWGJfCVZoeMSdZIxMx+uM8FxS+tOACg7Z7D7TEZdUiKscLEkJiIiIioV+KnNCIiIqJulGRPQEAJAAAWXvUoAMCkM4ate3jKdxDVIvwVBVHb6auqKgw6A9IjUqGoCnJqClBU13QoHQPj3kmyOABRB3zz3x4AYub8GJLZ1oNVnZs1O/K0oLgj0pIc2mMBgKwXoZNE9iMmIiIi6sUYFhMRERF1gUafG+tztsIfDOBbo67Txg06GVemXYqVx7/WxvwtAsTT9KIOOTXNh4LFWaJh0jeFyoIgQJb0aGxxnV7UwSpbu+KtUCdwTp0L0+CLUPbx8/CX58N+yU0wp48/+4W9RMb+IrzwfmbI2OOLM9q95vTOY4dVRkK0BXod25oQERER9XYMi4mIiIg62frsrfhv5vtw+z0w6Y24fuhMGPXNu4evGzoTK49/jUXrnoNNtiDaHImnr/stxBbtCBRVQWFtCfaVHMb+0qN46prHQl6juK4MVe4aAIAkSBjkTIZe4ke73swQNxhJD/wNru2fwTHlpp4up8N2Hy3F39/eBeWMY7GTYiy4+bJ0uL0BNHoC3/zu156v2ZmHmROTkBpv75nCiYiIiOicCaqqqmdfRv3BrFmzUFhYCABISkrC2rVre7giIiKi/ufNvcvx2bE1AJrbTCTYYhF5RnuIarcLFtkMWdKf9Z6+oB96URfy4/srj32NN/Z+AKPOgD9c+TMMi0rrvDdB9I1DWZX4n5e2wucPhozHRJjw10cuR0yEqY0riYiIiKgv4vYTIiIiok6UHpESNlblrkGE0RES9kaYHGHr2tJaoBxnjcbd476FywdPQbQ58vyKJWrHifxqLHplW1hQ7LQZ8OcfXsqgmIiIiKgfYlhMRERE1IkuGzQFp6rytDYTekmPGamT8cCkO2HUGTrtdSYnjcfkpL7T83YgUVUFgepS6CMTerqU85ZbUouFL22D2xvaT9tq0uNPP7wUiTHsj01ERETUHzEsJiIiIroAOdUFGByRHDK2YPwtyK0pgF8J4NFLvxfWgoL6B1VVEWxwwV9ZCH9lIXyVhfBXFMKd1XQQXPQNP4Bt0nUhO8r7guKKBvzP/21BXaMvZNxkkLDoB9MxOIE9iImIiIj6K4bFREREROchEAzgv5nvY82pzXjs8odxceI4bU4SJfxyxg9gkGToeOhcv6L4vWg4shX1B9bDW5INxVPf5lp9dBL85XnQRyVB6CN/Dw6cqsBf39wJV31oUCzrRPzhgWkYnhrRQ5URERERUXfoG59aiYiIiLqZP+hHbk0h6n2NsBusSI9M1eYUVcEjK59AtdsFAPjXttfw9LW/RaItTltjkc3dXjN1HV95HmozV6P+wAYongYAQMKCRe1eI8c1HTqoKsFeHxarqopPN2fh1U8OQVGazr9+6uEZAABBAFLj7bBb5J4skYiIiIi6Qe/+1EpERETUA1af3IQlBz9Bnbdp1+jMQVPx42nf1eZFQYQsNQdnbr8Hz2x+EU9d8xuY9MbuLpe6yOldxLWZq+EtOHrO1/tKsyHojTB8Exr3Vl5/EP/5YB/W7soPnxSA5Fgbg2IiIiKiAUJQVVXt6SKoe8yaNQuFhYUAgKSkJKxdu7aHKyIiIup9Pj26Bm/tWw4AWHjVowAAm2xBqjMpZF1WVR7irNHac1EQYdQZ+lx/Wmpd46lMlK14TttF3CGiBH1EPPRRSZCjkyDHDoJ52CUQ5e79BoKiqDiUXYn6Rj9GDIpApL3t1y+rbsTTr+/AyQJX2Jysl/Dzuybi8glJrVxJRERERP0RdxYTERERtTAtZSI+ObYaLk+tNhZUg2HrJFHUHutEHWRJz6C4H5FjUqF43W0vEESYh14MY/II6KOSoI9Ogt4Z16PtJlRVxc7DpXjr8yPIKW7++5sSZ8X4oTG4aFgMxg2JgtXctEv4wMkK/OXNnaht8IXdKy7SjN/fPwVpiY5uq5+IiIiIeh53Fg8g3FlMRETUMScrc7Bw3T/gD/oBAEm2eDw3e2HImnf3r0CBqxhXD7ks5HA76j98ZXkIumtDxgSdDMkaAZ3FCUGn76HKwu07UY63Pj+CY7nV2tjpnsMhBMBk0MEoS6iu8wKtfCVgNeuREmeDThLDJ4mIiIioX+POYiIiIhrQ8moKkWiLg67FjtChUYPxk6nfxbJDK3Hn2DlItseHXXfPRfO6sUrqCqqqQg34IOoNrc5L1ohvwmIBktkGyRoB0WjtVTvIj+VW4a3Pj2DfiYqOXaACbk8Abk+g1emYCBPiIs296j0SERERUfdhWExEREQD1o6CvfjXttcwPeVi/GjKd0ICsmkpkzAleQJEgbsr+yNvaQ6qvn4Dgs6A+Dt+2+oa0WiGtyQL1tGXQ2eL6OYK25dd5MLbnx/FjsMlba55fHFGu/doufNYFAUkxVjhtLUenBMRERHRwMCwmIiIiAYcVVXx0ZEvsPTAp1ChYkPONiTa4nDL6BtC1jEo7n98FQWo3rwMDYcycLoHgzv3IEyDxoatFUQJzqlzu7nCtqmqisxj5fhk0ynsPlrW7trxw6Jx9SWpOFlQg/0nKkJ6GJ9J1otIjbfDZOCXBkREREQDHT8REhER0YCjQkVG3i6oLRq2vnfgY8TbYjA95eIerIy6iq+yCDWbl6H+0GZAVQAACQsWAQBE2QRVVXtt6wWPN4C1u/Px6aYsFJTVa+Ot9SQ2G3WIizLDamo6xO6qi1MAAIGAgnq3Hw1uP+rdfvj8TYc22i0yIh1GBsVEREREBIBhMREREfVzvoAPRytO4aL4UdqYKIi4Ku1SpEWkaGOSKCHVntgTJVIX8lcVoXrzB6g/uEkLic+k+NxQ3PWQzLZurq59ZVWN+CwjG19tz0WD29/uWqNBQlykBTazvtXQW6cT4bQZtDYT/oACVVUh66UuqZ2IiIiI+iaGxURERNQv5VTnY03WZmTk7kSD340XbvpfxFljtPmZg6agoLYYKgCDJCPVmQhZknuuYOpU/uoSVG9ehvoDG9sMiYvfXgh9ZCIiZ90L0WTt5gpbF1RU7Dteji+352DbgWIoattrH1+cgaQYC759/SjMSE+EKHZ8Z7RexxYrRERERBSOYTERERH1O0sPfIrlh1eFjK3P3oY7x83RntuNNqza/S4URcEjU+9jUNyP1O1bi/JVLwJKsM01OkcsnJfdBtu4KyBIPf+RuLiiAWt25mHtzjxUuDxnXT86LRJzLx+CaWPjIUkMfomIiIioc/T8J2MiIiKiTjYyZggECPifq36ujelFXVhf2l9c+n0eYtfPeAqPo3zlYkBVtJ7ELQk6GTp7NLw6K4IKoAoSeqpTsccbwJYDRVi9Iw8HT1WGzZ/Zk1gQAIfVgGiHCSYjP8YTERERUefjp0wiIiLqd8bHj8ato28MGfMrAXgCXpj0Rm2MQXH/onjdKFvxfKttJwRJD1ijUBM0orrSh0CgFkBTL9+EKAscVrlbDrhTVRXHcquxZmceNmYWwu0NnPUanSQi0mFEpN3I9hFERERE1KUYFhMREVGfFlSC2F10AFOSJ4SM3z7mJjy58V8oqSvHNUMuxxWDp4UExdT/VHz1KgI1pdrz4rcXQjQ7UJp6LVYUJeBgztGQ9U89PAOBgIL80jpU1+mRGG2BQe6aj8fVtR6s252P1TvyUFBW36Fr3lh5GDdeOhgzJyZBr+NBdERERETU9RgWExERUZ9V7Xbhn1tfxeHyE/jx1O9i5uCp2pwoinj00u/DKBmg6wU9aalr1R/Zgvr960LGFAh4oeJynCwwA3C1f32jHyfyaxDtNCE2wnxOh8W1JRBUsOtIKdbsyMPOI6VQzjit7sw2E0DTLmKnzYAIuwHGLgquiYiIiIjawk+gRERE1CcdLD2Gf257DS5PUzuBl3e9i7SIFKQ4ErU1VtnSU+VRNwkEFeSczIH6yX9w5t7bVY3jcdIT2ea1jy/OaHU8NtKMH84bhylj4s+rpqKKenyxNRfrduWjpt579gsEwG6WEWE3wGbunnYYREREREStGXBh8fbt2/Gd73znvK9/8803MXXq1DbnfT4fPv30U6xatQqnTp1CZWUlHA4HBg8ejBtuuAHz5s2D1Wo979cnIiKipr6vyw+v0oJiAPAGffhHxst4+trfwMh2E31aSWUD3vniKArL6yGKAnSSCEkUmn6dfiwJqHR5kF3ogj7YiLss0bhIztfuccofi6vu+yGuEsN7/Op0IiJsBri9AdQ3+tusI7e4FtFOE4yyBElqv1dwUFGx+0gpVmZkY8+xsg69z8Uf7sM1l6TiqotTEGHn31kiIiIi6nkDLiy+UNHR0W3OnThxAr/4xS9w/PjxkPHy8nKUl5dj586deO211/D3v/8dkyZN6upSiYiI+i1BEPCTaffjN18+BZe3ThsfEZ3OQ+v6uNziWjzx4hbU1HtbbdPQJnUWvFmbIGe+D4gSEm7+OQanRAAAsgtdEATAZpERYTPCZtZDEASoqoraBh+KKxrgD4Qfilfb4ENtgw9P/nc7LhoWg0kjYjFpRCxiI83aGle9F19tz8UXW3NQVu0Oub61+kVRgNPa1GbCZNBxFzERERER9SqCqqrq2Zf1Hzk5OXjzzTc7vH716tUoK2vaHTJ69Gh89NFHra4rKirC7bffjoqKCgBNfRKnTJmC5ORklJWVYevWrfD7m3aumM1mvPfeexg5cuQFvptzM2vWLBQWFgIAkpKSsHbt2m59fSIioguhKArEM3aJHig9ij+v/xf0kg7fu/huXJk2vYeqo86QVejCEy9uQV2jD0DrYWtLaUmOsLFAVSGCNWUwpE8EAIgC0OgJwGkzQNfG7mC3N4AlXx3DxxtPIdiir3Bbr2+QJVjNegSDKlz1XrT1afp0fdmFLlhMekTYDXBYDJ3SD5mIiIiIqCt0eVhcVVWFyMi2e8X1ZvX19bjsssvgdjftEnn88cdx3333tbr2rrvuQmZmJgAgJSUFL774IoYOHarNl5SU4Ec/+hEOHToEAEhNTcWqVaug1+u7+F00Y1hMRER9kaqq+PzEOmzM2Y5Fs34Jg04OmV99chNGRKcj1ZnUQxVSZzieV42FL21FvbvtthBnOjPMFQTAZNA1/TLqYDboIevFDu/ezS2pxeLl+3Eoq7LV+58rnU5EpN0AVQXio9g/m4iIiIh6vy4Piy+66CJce+21uOuuu3DJJZd05Ut1uuXLl+Pxxx8HAOh0OmzatKnV4Hvt2rV4+OGHAQCyLGPFihUYMmRI2LqKigrcdNNNqKmpAQAsXLgQ99xzT9e9gTMwLCYior6m0e/Gizvfxrb8PQCAK9Om40dTzv/sAeqdjmRX4Y+vbEWjJxAyrpMEjE2PhqKqCAQVBBUVwW9+DwRVyHoR6YkODEtxYlhqBAbF26HXXVgbElVVsW53Ad776ihKKhvbXdtWmGwx6RHlMMJu4WF1RERERNS3dHnPYp/Ph1WrVmHVqlVIT0/HnXfeiVtuuQU2m62rX/qCrVixQnt8+eWXt7lD+t1339Ue33rrra0GxUBTv+MHH3wQzz77LADgvffe69awmIiIqC/xBXx4fPVfUVRXqo2tz96KkdFDMSv90h6sjDrTwVMVWPTKNnh8wZBxu86HX90QiaFRPgQbXQg21CDYUItggwv+ykJEz34I5vTxnV6PIAiYNTkFV12cjPzSOuw5Vo7MY2U4eKoCvlb6Gp8migIibAZEOowwyjwWhIiIiIj6pi7fWTxy5EjtAJHTOysMBgNuvPFG3HnnnZgwYUJXvvx5KyoqwqxZs3D6j+ef//wnbrjhhrB19fX1mDZtmtaP+P3338f48W1/4VJWVobLL79ce/7VV19h0KBBnVx967izmIiI+polBz7Gh4e/CBlLssXjmRuegE6Ueqgq6iz7jpfjf1/bDp+/OSgWoGCOZT9mmQ5DUAJtXquPTkbS/X+BKJu6o1R4/UEcyqpE5rEy7D5ahvzSpoMVU+NtuGlGGq6clAyzsfvaixERERERdYUu3/bw9NNPY+nSpdi7d68WvHo8HqxYsQIrVqzAiBEjcNddd2HOnDmwWHpPL7ePP/5Yq9fhcGDWrFmtrsvMzAw5uG7MmDHt3jc2NhaDBw9GTk4OAGD79u3dFhYTERH1NXeMmYNjFVk4VHYcADApYSx+PPW7DIr7gV1HSvHU6zvgb7Fb1yj48F3bZozSFQAKkLBgUbv3UBUFasAPSLoub/dg0EuYNCIWk0bE4sG5QHWtBx5fEPFRZraaICIiIqJ+o8vD4ltuuQW33HILjh8/jiVLluDTTz9FXV2dFsQeO3YMixYtwt/+9jfcfPPNuOuuuzB69OiuLuusPv74Y+3xjTfeCFmWW1136tQp7fGIESOg0539j3TMmDFaWNzyeiIiooGsuK4MxXWlmJQ4ThsTRRE/m/YAfrf6r7h+2BWYO/JaiMKF9aSl7uUPKCipbEBBWR3yS+tRUFaHgrJ6ZBW6EFSaf8AtRqzFD+zrECu6OnxvX2k2BFEHQ8IQQNe9u3oj7MZufT0iIiIiou7QbQ3Vhg8fjv/5n//BY489hpUrV+L999/Hvn37tNC4sbERy5Ytw7JlyzBmzBjcfffduOmmm2A0dv8H8X379iE7O1t7fsstt7S59nToCwAJCQkdun98fLz2uOXrEBERDVTb8vdg8Y63oEDF09f8BsmO5n9TnSYHnpu9EEadoQcrpI4qr3Zjz7Ey7D1ehuwiF4orG6EorXc9O31AnFR8EIatyyD43SHzxW8vbH4i6iBZ7JDMDkgWJySLA3pnHKwXXQGhm4NiIiIiIqL+qttP3zAajZg/fz7mz5+Po0ePYsmSJfjss89QX1+vBceHDh3CE088gb/85S/41re+hTvvvBPDhg3rthpbHmw3ePDgdvsq19TUaI+joqI6dP+YmBjtscvV8d0zRERE/U0gGMBb+z7E5yfWaWPPbnkJT1/zGxj1zd8wZlDce3n9QRw8VYE9x8qQeawM+aX12tzpMLgtgxPtcO/+DPWb3gVaOUbDOuZyOC+/HZLFCdHAdg9ERERERF2tR49qHjlyJP74xz/iN7/5DT777DO8//77OHDggBYa19XV4Z133sE777yDiRMn4q677sINN9zQZkuIzuDz+bBq1Srt+bx589pd39jYqD3u6C5og6H5C96W1xMREQ00tb56ZOTtDBkrrC3By7vfw0+m3d9DVdHZBIMK1uzMR8a+QhzKqoSvRd/hDgv4UPzh89Dlbm9lUkDkrAVwTPsWA2IiIiIiom7Uo2HxaSaTCbfffjtuv/12HDlyRNtt3NjYqAXHmZmZyMzMxFNPPYVbb70V99xzD5KTkzu9lg0bNmi7hQVBwLe+9a1213u9Xu2xXt+xH4FsGXZ7PJ5zL5KIiKifiDQ58dNpD+DJDS9ARdO/+RbZjBmpk3u4MmqLxxfAn17djv0nK8669vHFGWFjVpMeKXE2jLeWY1rRjrB5wWBG3Lyfwzz04k6pl4iIiIiIOq5XhMUtjRo1Cr///e8xcuRI/PWvfw0JY4Gmtg///e9/8cYbb+Cmm27Cz372MyQlJXXa67dsQTFlyhQkJia2u77lLmG/39+h1/D5fNrjnujJTERE1FMURUFQDUIvNX+D9aL4UbhtzGwsO7QSQyMH49FLv4cYS8daO1H38vqDePK1HVpQ3F6bCUEALCY9jLIOBlmCQS/BIEuQREHbLVydoaJ6/bvaNfrIRMTd/hvI0Z2/IYCIiIiIiM6uV4XF2dnZWLp0KVasWBHSy/f07mJRFKGqKlRVRTAYxKeffoo1a9bgz3/+M2bPnn3Br19dXY0NGzZoz8/WggIAzGaz9riju4RbBuAtryciIurPatwu/HPba4izROOhKfeGzM0fPRt2gw1Xp8+ATupVH0/oG/5AEE+9vgN7T5S3ucYgS7Ca9bCZZViMeohi+y0knJfeCsvwKQg2uiAabZBjkiGIUmeXTkREREREHdTjX435/X589dVXWLJkCXbt2gWgORwGAJ1Oh2uuuQb33HMPRowYgY8//hhLly7FqVOnADT1/P31r3+NpKQkjB8//oJqWbVqlbY72Gw24/rrrz/rNQ6HQ3tcWVnZodepqGj+sc2W1xMREfVXh8uO4/mtr6LGU4tDOI6RMUNxZdp0bV4URVw/7IoerJDa4w8o+Msbu7DnaFnI+OOLMzBxeAxmjE/ExBGxiI04t2+CC4IAfVQSRIMJki2K/YmJiIiIiHpYj4XFubm5WLp0KT766COtR3DLkDguLg533HEH7rjjDsTExGjj3/nOd/Cd73wHX331FZ566imUlpZCURS8+uqr+Ne//nVBNbVsQXHNNdfAYrGc9Zq0tDTtcXFxcYdep+W6ltcTERH1R4fLjmPR+udD/p1/Zfd7SI9IRaqz81pJUdcIBBU88/Yu7DhcEjZ3/bRBeOS28RcU8gqiCJ09+kJKJCIiIiKiTtKtYXEgEMDq1auxdOlSbN/edPJ1yy8cBUHAtGnTcM8992DWrFmQpLZ/DPG6667D0KFDMXfuXASDQezevfuCasvKysL+/fu157fcckuHrhsyZIj2+NixYwgGg+3WDQCHDx9u9XoiIqL+aET0EIyKHorD5Se0MV/Qj20FexgW93LBoIJ/vLsHWw+Ef0P86ktS8KP5FxYUExERERFR79ItYXF+fj7ef/99fPjhh6iqqgIQGhLb7XbMmzcPd9999znttE1PT8eYMWOwb98+bXfy+fr444+1x/Hx8Zg2bVqHrps4cSL0ej38fj8aGxtx6NAhXHTRRW2uLy8vR3Z2tvZ86tSp5180ERFRHyCJEn42/UE89tVTcHlqoZf0eHDSXZiVfmlPlzYg+QMK8kvrkF3kQoPHj9gIMxKiLIiLMsMoN380DCoqnl+aiU17C8PuceWkZPzkjoln7Unckq8sD/roJPYkJiIiIiLqxbo8LH7wwQexdetW7WC6lkaPHo27774bc+bMgdFoPK/7R0c3/diioijnXaOqqvjkk0+053PnzoUoih261mq1Ytq0adi0aRMA4KOPPmo3LG7Z6mLYsGEYNGjQ+RVNRETUC6mqitWnNmFM7HAk2eO18QiTAz+b9gBe3b0EP5v+IAZHJPdglQOH2xtAdpELWYVNv04VupBXUodAsPXPTZF2IxKiLUiIsqC2wddq64nLxifi53dNhHQOQXGwsRaFbzwOvTMWkVd+G6ahk7gjmYiIiIioF+rysDgjIwOCIGhBsSzLuPHGG3HPPfdc8IF0nWX79u0oKirSns+bN++crr/nnnu0sHj58uW49957kZ6eHrauqqoKr776ash1RERE/YXb78H/7XoHW/J2IcWegCev/Q2MOoM2PzZuBP5+wxOQuLO0y50qqMG/P9iHkwU1OON79SGeenhGu/eZd0Vouyy7VUZqnO2cg96ajOVQfW74ynJR8v5TMKaMQszNP4I+MvGc7kNERERERF2rW9pQqKqKlJQU3HnnnbjtttvgdDo77d5/+tOf8Pjjj1/QPVq2oBg3btw59xGeNWsWJk6ciMzMTHi9Xvzwhz/Eiy++GHKf0tJSPPLII6iurgYApKam4vbbb7+guomIiHqLvJpC/GPLyyiqKwUA5NcW45Xd7+GRKfeFBIsMirteRY0bC1/eCle976xhcFqSo915k9z038vtC0InCjDI0jkHxQFXOVy7vwgZ85blQjTazuk+RERERETU9bo8LL7yyitx9913Y+bMmV3y44aRkZEXdL3b7caXX36pPT/XXcWnPfvss7jjjjtQUVGBvLw83HzzzZg6dSqSkpJQXl6OLVu2wO/3AwDMZjP+9a9/Qa/XX1DtREREvUWV24XiurKQsY052zEudiSuSOvYOQB04fwBBX95cydc9b4Orc8udLU7fzpMLq9uxKAE+3l9lqvauBQIBkLGnNO+BcnMsJiIiIiIqLfp8rD4xRdf7OqXuCCrV69GQ0MDAECv1+Omm246r/skJSXh9ddfxy9+8QscP34ciqJg69atra575plnMGrUqAuqm4iIqDeZkDAat46+EcsPr2oeix+NiYlje7CqgefVTw7iWG619vzxxRnaY1kvIS3BjvQkh/Yr0m5EaVUjSiobUFzxza9vHte7m77JPXNCEn5610SI5xEU+8rzUH9gQ8iYZHHCMeXm83yHRERERETUlbqlDUVv1rIFxRVXXIGIiIjzvtewYcOwfPlyfPLJJ1i5ciVOnTqFqqoqOJ1ODBo0CDfccANuueUWWK3WziidiIiox9R66mA/o43A7WNuwvHKUzhYdhx3jp2DeaOuhyh07MBYunDrd+djZUZ22Ph3Zo/C1DHxSIqxQpLC/3tEO00Ykx4VNl7X6IMgCLCazv8noarWvwuooYfpOS+7HaJ8fgcbExERERFR1xJUtb1jT6g/mTVrFgoLCwE07XBeu3ZtD1dERER90faCTPxnx5t4cNJdmDl4asicy1OLfFcxxsaN6KHqBqac4lr88p8b4fMHQ8ZvnpGGH956UY/U5Ck4hqI3Qs+V0EXEI+WH/4QgDfj9CkREREREvVKXf1JXFAXf/e53UVdXB4PBgP/+978wmUwdvv6dd97BBx98AAB46KGHcP3113dVqURERNSOgBLEO/s+wsrjXwMAXt71LtIiUpDiSNTWOIx2OIz2nipxQGpw+/HU6zvCguKRgyLwwNyeaQOiqiqq1r0dNh55xV0MiomIiIiIerEu/9nQjIwM7NixA0ePHsXw4cPPKSgGgKuvvhrHjh3D0aNH8fbb4V90EBERUfd4e+9yLSgGAG/Qh39kvAyP39ODVQ1sqqri+SV7UFzREDLutBrw2/sugV7XM21AGo/vhCfvcMiYHJcGy+gZPVIPERERERF1TJd/BbFx40bt8dy5c8/5+vj4eEyZMgWqqiIzMxN1dXWdWR4RERF10NxR18FhCO1TXONxoaC2pIcqouXrTmLbwdA/f1EAfn3vxYhynNs36DuDtyQbpcv/jtIP/hY2F3nVtyGwhzURERERUa/W5T8HeODAAQCA0WjEpEmTzuse06dPx7Zt2xAMBnHw4EFMnz69M0skIiKiDog0OfHT6Q/gz+v/BRUq0iNS8YtLv49Ya3RPl9bvZBW68NX2XBRXNCDCbkBCtAUJUZam36OtsJr02He8HG+tOhx27Xdmj8ZFQ2O6tV5P4QnUZHyAxhO7QsYTFiwCAIhGC+TYwd1aExERERERnbsuD4tzc3MhCALS0tIgiue3m2TYsGEh92NYTERE1LVcnlosO7QS946fD4NO1sbHxY3E7WNvRo3Hhfsm3Aa9pO/BKvuf7CIX3v3yqLZb+KmHQ9s2eLxBZBe6IEkCdDoRf34odN5ulZEaF7r7u6uVffxP1B/c2PYCQYTeGQ9BELqvKCIiIiIiOi9dHhafbhvhcDjO+x52e/NBObW1tRdcExEREbXtaPlJPLf1FVS7XfAF/fjRlO+EzM8ffSODv06WXeTCe18dw9YDxR1aHwyqYWOyXkJyjLXb/9vIsYPanCv/7D+Imf0QREP3t8QgIiIiIqJz1+VhsSzLcLvdaGxsPO97eDzNB+ec7+5kIiIiOrtPj67BO/s/gqIqAID12VsxKnoorkq/VFvDoLjz5BbX4r2vjiFjf1Gr848vzmj3+tM7j0VRwKB4GySp+z8nOabOgTF5BFQlqI0JegN09hhIFgf/vhARERER9SFdHhZHRkaioKAAeXl5532PnJyckPsRERFR16j3NWhB8Wmv7FmCsXEjEGOJ6qGq+p+c4losXd0UEqvhm4Q1kXYj/IEg6hr97d4vKcYKo6HLP9a1ShAlSLYoBFxlEPVG6BwxEM12hsRERERERH1Ql39VMXToUBQUFKCmpga7d+/GxRdffM73+Prrr7XHgwa1/aOOREREdGHuGHszjldm4VDZcQCAXtTh/ol3INrMb9Z2hpP5NVi65pjWk7gtSTFW3HXdCFw+IQmSKKC+0YfiygYUVzQ0/17RgCWrj+GG6YMxbmjPHjIoGi1QShtgTB0NQeBPgRERERER9VVdHhZPmzYN69evBwA8//zzePPNN89pp8nWrVuxdetWAIDFYsGECRO6oEoiIqKBR1VVlNaXI94Wq41JooSfTXsAj331FAw6A35x6feRFpHSg1X2D0eyq7B0zTHsPloWMn7mAXayXkJspAlOqyHk85LVLGOYWcawlIhuqfdMqqqg8dhOmEdMafVznGS0wDJiag9URkREREREnanLt37MmTMHJlPToSa7du3CH/7wBwSDwbNc1eTw4cP4+c9/DqCpP+K8efMgSVJXlUpERDRgePwevLD9dfz6q6dQUBt6qJrT5MDjM3+Cv1z7WwbFF0BVVew/WY7fL87AY/9vU1hQ3JKsl5AcZ8XwVCcibMZe18Kh6us3Ubr8b6j84uWQ3sRERERERNS/dHlYHBUVhXvvvRfqNw35li9fjttuuw2rV69GIBBo9ZqCggI888wzuPPOO1FbWwugaVfxQw891NXlEhER9XsFrmL8bs1fsTl3B7wBL/6R8TI8AW/ImsERybDI5h6qsO/bf7Icv/33Zvx+8RbsP1nR5roXlu1FaVUjhiY7emVIDACuHZ/Btf1TAEDtni9RuvwZKH7vWa4iIiIiIqK+SFDV9o5V6RyBQAD3338/du7cGfJFkCzLGDFiBCIjI2EwGFBfX4/s7GwUFzftcDpdmk6nw3/+8x/MnDmzq0vt12bNmoXCwkIAQFJSEtauXdvDFRERUXcLKEH8bNVClDdUhoxfNmgKfjL1u70yrOxLjuVW4a3Pj2DfiaaA+Mw2E6cZZAmxEWY4rHKv/jOvP7IVZR8+CyD046JzxnxEXnlPzxRFRERERERdpluOzdbpdFi8eDF+9atfYf369RAEAaqqwuv14sCBAyFrTwfEp79wstlsePrppxkUExERdQKdKOGHk7+NJze8ALVFAFjrqYM/6Iesk3uwur4ru8iFd744iu2H2j+4zmjQITbCBLuld4fEAODOO4zyj/+JM4NiQ9IIOGfM75miiIiIiIioS3XLzuKWPvjgA7z88svIzc1td51Op8OcOXPwyCOPIDk5uZuq69+4s5iIiE5bdvAzLDu0EgIE3DZmNuaPng1R7PLuVP1OUXk93vnyKDbtLUR7n6hGpEbgzmuHY/KouF4fEgNNQXHpsr9A8TSEjOsjE5F431OQzLYeqoyIiIiIiLpSt+wsbum2227D/PnzsX//fuzYsQNZWVmoqamBz+eD3W5HTEwMJkyYgGnTpiEyMrK7yyMiIupXdhbuw5GyE/jOxNtCxuePno3i+nJcOXgaLoof1UPV9V3l1W4sWX0Ma3bmQVHaTolHpEbg2zeMxIThMX0iJPYUHkf1xiVwZ+0DACQsWKTNCZIOcnw6RO4+JyIiIiLqt7o9LAaaWkyMHz8e48eP74mXJyIi6vcCShDv7V+BT4+tAQCkOpNwZdp0bV4URfx02v09VV6fVV3nwQdfn8CqLTkIBJU21w1OsOPeG0fhktF9Yyexp/AEqjcuhTsrs/UFggg5ZhCDYiIiIiKifq5HwmIiIiLqOvXeBvxt82IcrTiljb2y+z2kR6Qi1ZnUg5X1XfWNPny4/iQ+2ZQFry+ojZ95gJ2slxAX2fsPrjvNU3SyKSQ+tafV+eK3FwKCiPg7fgfRYOrm6oiIiIiIqLsxLCYiIupnTHojRCG0/7Av6MeLO9/Gk9c81idCzN7C7Q3g001Z+HD9STS4/W2u0+tExEaaEWEz9Ik/X39VESpXv47Gk7vbXSfHpSHqugdgSh3dTZUREREREVFPYlhMRETUz0iihJ9NfxCPffUUXJ5aAECaMwU/nf5AnwgyewN/IIjPt+Rg2dcnUFPvbXPd397ahduvHoYbLx0MvU7qxgrPn6foJIrf+gPUgC+kJ3FLot4InTMWosnGvzNERERERANIj4TFqqoiPz8ftbW18Hg8UNs7PvwMl1xySRdWRkRE1PfUeuvh9rsRZ43RxiJMDvxs2gP404Z/4ur0y/DdibdDlvQ9WGXfoKoqNu8rwhsrD6O0qrHNdRaTHvOvGoo5l6XDaOhb33s3xKdBjkmFt/hk2BxDYiIiIiKigU1QzyWpvUCfffYZli9fjr1798Lj8Zzz9YIg4PDhw11Q2cAwa9YsFBYWAgCSkpKwdu3aHq6IiIgu1PGKLDy35RWYZROeuuY3MJxxAFm+qwgpjsQeqq5vOZJdhVc/PYhjudXa2Jk9iUVRQJTDiBinCZIknnmLPsNXnoeCV38NBAMAAH1MKiIuvwOWkVMhCH33fRERERER0YXplq0wNTU1eOSRR7BnT9PhKS3z6Y7uWunGTJuIiKjXU1UVK4+vxTv7PkRQVVDprsYru9/Dj6Z8J+TfVgbFZ1dc0YA3Vh5Gxv6iNtcIAhDlMCHGaYJO1/fDVDkmFRGX3Y7aXZ8j6tr7YRl9KUNiIiIiIiLq+rBYURT84Ac/wP79+1udZwhMRER07rKr8/DW3uVQ0fzv6IacbRgVMxSz0me0cyWdVtfow5LVx7AqIxuBYOufR554MQPXTh2Eu64dgWinqZsrPH+qEkTN1hWwjp4BfUR8q2uc0+fBfvH1kEy2bq6OiIiIiIh6qy4Pi1esWIH9+/dDEASoqoohQ4bgvvvuwyWXXIL4+HiYTH3nCy8iIqLeIj1yEG4dfSOWH16ljelEHb8JexbVdR7sPlKGnUdKkHmsDG5vsM21k0fF4f6bRyM13t6NFXaOqvXvwrV1BdxZ+5Cw4I+t7hoWJB2DYiIiIiIiCtHlYfHnn3+uPb7yyivxwgsvQK/nATtEREQX6vYxN+F45SkcKD2GWEsUfnHp95EeOainy+pVVFXFqUIXdh4uxa4jJTiRX4OWefqZPYkBwGjQISHKDKtZDpvrCwK1lXBt/RgAEDHzDgTrq6GzRfVwVURERERE1Bd0eVh85MgRAIAkSXjyyScZFBMREZ0jT8CLV3cvwbi4kZg5eKo2LooifjrtAby3/2MsmHArrLKlB6vsXRo9fixZfRwb9hSgqrZjh+rqdSLiIs1w2gwdPlOhN6o/tAlo0Z7EX10K0WCBKBt7rigiIiIiIuoTujwsdrlcEAQBw4cPR1QUd7UQERGdi8LaEvwj4yXk1xZjW/4epEWkhBxa5zDa8dCUe3uwwt6n3u3H4//ZjOyi2rOufXxxBkwGCfNnDcO3Zg6BUe6Ws3+7VP3BTdrj4rcXAgAG/fw1gGExERERERGdRZd/ReRwOFBZWQm7ve/1+yMiIupJ+0uO4O8Z/wdPwAsA8AZ9+MeWl/H0Nb+BUc/grzUeXwB/enWbFhS31mYCAAQBsJj0sJllOK0G6HThPX37Il95HnxlOSFjtvGzIFkcPVMQERERERH1KV3+lVFqaipUVUVlZWVXvxQREVG/kmxPgCyFtm8qrC3BFyc39FBFvVsgqOBvb+3C4eyqVud1OhERdgNS420YlRaJtEQHop2mfhMUA6G7ik+zjp3ZA5UQEREREVFf1OU7i2+88Ubs2bMHp06dQkVFBaKjo7v6JYmIiPqFSLMTz8/+I3JrCrWxGHMkYixs63QmRVHxz6WZ2Hm4NGT88cUZuHH6YFw7NRVDkpwQxb7bi/hsVFX9pl9xM8kaCWPq6B6qiIiIiIiI+pou30ozb948xMbGQlVV/Pvf/+7qlyMiIuqTsqpysXDtP1BWXxEybpUtiLVEQRIkDHIkIdYa3acPX+sKqqri1U8OYv3ugrC5uZen4+H5F2FYSkS/DooBwFtwDAFXeciYdcxlEESphyoiIiIiIqK+psvDYpvNhmeeeQaSJGHJkiV47bXXuvoliYiI+oxGnxuv7VmK3635K46Un8Cre5ZCVdWQNVHmCMRbo2E1WHqoyt7t/a+P45NNWWHjV16cjAfnjh0w4Xr9wY1hY9axl/dAJURERERE1Fd1S5O+qVOn4vXXX4fT6cQzzzyDBQsWYOXKlSguLobf7++OEuj/s3ff4VFUXx/Av7Ob3iukEVoIhF5CCb0pCIKANFEQQSkK8lNABQUpCnZURBEUEJFepYl0EEJC7xBISO+9Z9u8f+TNkmFTIZtN+X6eh8eZc+/MngUMydk75xIRUZUjiiIWn1yBfx6c0haIr8bcQmDUNck8mSCDnTk3KCvKYf9QbDp8Tyfu61MXs8a0q/GriQuIahUy756XxIydPGBSt6GBMiIiIiIioupI7z2LfXx8JOeiKOLy5cu4fPlyue8lCALu3LlTUakREREZlCAIGNKsP368sF4S33BlB9q7toTxE5vbkdR/16Pwy67rOvHmDR3w4QRfGMlrzsZ1pckOuQZNToYkZtWiR61ZVU1ERERERBVD7z9FFayUKvhvwQ8toig+1S8iIqLqSqlWIkeZK4l18+yIVnWbas/drOvinc4TWCguxdX78fj2r8t48luDBq42WDC5C8xM9P55eJXCFhRERERERFQRKmXJTeGCMYu+RERUG92Ku4c5Rz7Dn9d3S+KCIGByh1dgYWyOMS2H4OsBH6Nl3WYGyrJ6uB+WjGUbAqFSS7+fcHW0xJIpfrAyr12Fdk1eDrKDLkpiph5NYWxX10AZERERERFRdaX3ZTcbN27U90sQERFVWam56fjz2i6cDQsEAMRkxKN3gy7wdmqkneNmXRe/DFkGc2MzQ6VZbYTHpmPxbxeQq1BL4vbWplgy1Q/2NrXv9zArKACiSiGJWbXoaaBsiIiIiIioOtN7sbhTp076fgkiIqIq67+wQG2huMDaS5vxxfPzIJfJtTEWiksXn5yNhWv8kZEt3RzX0swIi6f4wcXR0kCZGVbmrbPSgEwOq+ZdDZMMERERERFVa7Vn5xciIiIDGNikD+rZukli4enRuJvwwEAZVU9pmXlYuOY8ktKkPZ9NjOVYMLkLGrrZGigzw1JlpiLn0Q1JzKJRW8gtbAyUERERERERVWcsFhMREVWQHGUursfekcSMZHK81eEV7Xlj+/pY3v8j9iUuh+xcJRat9UdUQpYkLpcJmPd6R7Ro5GigzAwvOygQEDWSGDe2IyIiIiKip1W7tgonIiLSA1EUERB5FRuu7kBGXia+HbgALtZ1tOPNnL0w2LsfXKyc8VzjHpDJ+FltWSmUany+PhAPI9N0xv43th18fWr3Jm7W7frD2NENmbfOIuueP0S1GhZNOho6LSIiIiIiqqYEURTF0qdRTdC3b19ERUUBANzd3XHixAkDZ0REVP2l5qThl4ubcDXmljbWxsUH83vOhCAIBsys+lOrNfhi40VcuBWrM/bWsJYY2qOxAbKqGOqsNKSc3Q5VehJM6tSHmWdzmHk0hczk6XtXiyolFPFhMHXzqsBMiYiIiIioNjHYyuLMzEzEx8cjIyMDCoWi9Av+X8eOXC1DRERVh4mRCUJTIySx67F34R9xGV09fQ2UVfUniiJW7bxeZKF4zHPe1bpQLIoi4nZ9jdyIu3B9bbE2nhcTDJmJOWRmFpCZWkJmZgGh0CaIpRGMjFkoJiIiIiKiZ1KpxeKEhAT89ddfOHr0KB49eoTyLmoWBAF37twpfSIREVElsTA2x8R2o7Di/G/amJHMCKm56QbMqvr74+AdHA0M14m/0LUBXh1Qvfs9KxPCkRsVVMSICI0iGxpFNoBEAAJkJmaQmZpDZmoBwdQCgtyYK9aJiIiIiEhvKq1YfPDgQSxcuBDZ2dkAoFMoFgSh3MVjIiKiypSem4Httw9gdMshsDG10sa7eLRHG5fmuB57B63qNsXkDq/Azbp299J9FrtPPsCukw914j3aumPq8NbVvlhqUqc+6r39E1LP7UHM5qWARlXsXNfXFkOjyAEykgEAgtxYWzyWmVpAMDGDILAHNhERERERVYxKKRYfO3YMc+bMKbIYXPADX3nHiIiIKotG1OBkyHlsurEHWYpsKNUqTO80XjsuCAImdxiLh0mP0M2zY7UvZhrS0YAwrD+g+xRRO29nvPdKe8hlNeP31ti2Dhyfmwh1ZjKyH1wq83WiWgl1thLq7HTIzKxhbF8XwjP0OSYiIiIiIipM7xvc5eTkoE+fPkhNTYUgCGjevDlmz56Ntm3b4t1338V///0HQRBw9+5dZGVlITY2FpcvX8bOnTtx48YNCIKAsWPH4uOPP4aRkcFaLNcI3OCOiKj8RFHEsjM/4XqstIC5uO/78HFuYqCsaib/mzH44o9AaJ74zqRpfXt8NrUrzExr5vcByrR45IbfQW74XeSG34EyObrUa4xsnOA48C1YeHXghxNERERERFRh9P5T1549e7SF4qZNm2LTpk0wNzcvcq6lpSUaN26Mxo0bY/To0di5cycWL16MrVu3Ijo6Gr/++qu+0yUiIpIQBEHbYqKw3y5twZfPz4eRvGYWMCvbjYcJ+HrTJZ1CsaeLNT59s0uNLRQD+auMjVvVgXWr3gAAVUYKciPu5BeQI+9DER8GiBrJNar0RMRtXw63CZ9DbmEDua0TZEYmBsieiIiIiIhqEr3/5OXv7689njt3brGF4qKMHDkSFhYWeP/993HmzBls2LABEydO1EOWREREj2k0Gshkj/vAvtCkN06HXkBYaiQAwMzIFP0ad+eKzgryMCIVn60LhFIlLYjWsTfHkil+sLaoXUVQI2t7WDXvBqvm3QAAmrwc5EU/QG5UEHIj7yEvKgia3CwAQPTGjyG3tIXHWysAFouJiIiIiOgZ6b1YfOdO/kosKysrdOvWrdzXDxo0CDt27IC/vz/WrVvHYjEREelNQlYS1l/Zjvp2HhjTaog2LpfJMcV3HD459jU612uHiW1HwcHCznCJ1iBRCZlY9Js/cvKkm7zZWplgydSucLQt+4fMVZkqIwVySxsIMnm5r5WZmsO8YWuYN2wNABBFDZSJUciLfgCNUgErHz/ILW0rOmUiIiIiIqqF9F4sLmhB0ahRI52xwqu2cnNzYWZW9AYtgwYNgr+/PxISEnDlyhW0b99eb/kSEVHto9KocfD+cey8fRB5agWuxt5G9/od4W7jop3TxLEhvh24AB62rgbMtGZJTM3Bgl/PIy1TIYmbmxph0Vt+cHe2MlBmFUsURcTt+gqanEzYdR8Jqxbdn6poXEAQZDBxrgcT53oVmCUREREREREgK33Ks8nLywOQ34/4SRYWFtrjtLS0Yu/h6empPQ4PD6/A7IiIiIAD94/hrxt7kKfOL1qqNWr8dnkLntwDloXiipOepcDCNf5ISMmRxI2NZFgwqTO8POwMk5ge5Dy6jryoICiTo5Hw94+I/HUWskOuGTotIiIiIiIiHXovFhcUiXNycnTGbGxstMeRkZHF3qPwD+sJCQkVmB0REREw0KsXHM3tJbHb8UG4FnvbQBnVbDl5Kiz57QIi4jIkcZkAfDDeF628nAyUWcUTRREpZ7dLYsrkGAiC3r8FIyIiIiIiKje9/6Ti5uYGURSRnJysM1a4NcWVK1eKvce9e/e0x8bGxhWbIBER1SqiKCI6I04SMzM2wxvtR2vPbUytMKPzRLR1aVHZ6dV4SpUayzYE4n54is7YzNFt0aVlzVq9nRN6A3mR9yUxU49mMGvQykAZERERERERFU/vxWIvLy8A+SuHC1pSFGjdurX2eNeuXVCppJvbAPltLLZs2aI99/Dw0FOmRERU00WmxWDRyRX4+OiXSM1Nl4x1dG8DX/c26N+oO75/YRF6NugMQRAMlGnNpNaI+G7zFVwL0n1K6I0XW6B/p/oGyEp/RFFE6tkdOnH7nqP5d4uIiIiIiKokvReLfX19AQAajQaBgYGSsfbt28PNzQ0AEBYWhnfffRdRUVHa8ZCQEEyZMgVhYWEAABMTE3Tq1EnfKRMRUQ2Tp1Jg8429mHvkM9xNeIAsZQ42XdstmSMIAmZ3fQtTOr4KK1PdPvv0bERRxK+7b+C/69E6Yy/38cKIPl4GyEq/csNuITfiriRm6tEU5g1aF3MFERERERGRYem9WNytWzft8bFjx3TG3377bW1P4pMnT6J///7o2rUrunbtisGDB2sLzIIgYMyYMZI+x0RERGWRrczBkYenoRY12tiZsADcipO2B5DL5JWdWq3x15F7OOwfqhN/rpMnXh/cvPITqgRP9ioGAPseXFVMRERERERVl96LxR4eHujSpQtsbW3x33//6Wx0N3LkSLz00kvagnFBf+Pk5GTJxnbt2rXDnDlz9J0uERHVQPbmtnil1Us68SvRNw2QTe3z95lgbDsapBP3a+WKd0a2qZHF05ywW8gNvyOJmbp7w7xhGwNlREREREREVDqjyniRDRs2lDj+xRdfoHnz5lizZg2SkpIkY2ZmZnj11Vfx7rvvwsTERI9ZEhFRTaDWqHE85Bx6NugMMyNTbfz5xj1x+tEFBKeEwdnCAW+0HwNfd7YD0LeTlyOwdt8tnXhrLyfMebUD5HK9f25tEClF9SrmqmIiIiIiIqriKqVYXBpBEPD6669jwoQJuH37NqKjo6FSqVCnTh20bt2aRWIiIiqToMQQrL28BWGpkUjMTsa41sO0YzKZDG/5joN/xGW83GKQpJBM+nHxTiy+33pVJ+5Vzw4fv9EJJsY1s+1HblQQcsPyC+Sury0GAMhMLGDi0tCQaREREREREZWqShSLCwiCgJYtW6Jly5aGToWIiKoRURSx/up2HHlwGiLyWxjtv3cUPep3Qj1bN+28Rg6eaOTgaag0a5XbIUn44o+L0GhESdzd2QqL3uwCCzNjA2Wmf6n+e3ViRrbOXFVMRERERERVXs189pOIiGoVQRBgZmSqLRQDgFrU4LfLWyT976lyPIpOw9LfL0Ch0kjiTrZmWDLVD7ZWNXdVtyIpCtn3A7XnMZs+RdK/6yAztzJgVkRERERERGWj95XF8+bNAwA0bdoUEydOfKp7bNq0Cbdv34YgCFi2bFkFZkdERDXFy80H4Vz4JSRkPe5972JVB0q1EiZGbGdUWWISs/DpGn9k5aokcWsLEyyZ2hV17C0MlFnlSLvwNwDpBxS2fsO4qpiIiIiIiKoFva8s3rNnD/bu3Ytz58499T38/f2xZ88e7NmzpwIzIyKi6kihUmDrzb9x9OFZSdzUyAST248BANSzccWSvrMxvdN4FoorUXJ6LhauOY+UjDxJ3MxEjkVvdUG9utYGyqxyqDJSkHHzlCRmZOMEK5+uBsmHiIiIiIiovKpUz2IiIqKSXIu5g98vb0FcViLMjc3g694a9ua22vH2bq0wu9sUdHBrDSNZzdw8rarKzFbg0zX+iE3KlsSN5AI+fqMTvD3tDZRZ5Um7eABQS1dU23YZCkHOb7eIiIiIiKh6YM9iIiKqFo48OI1lZ1YiLisRAJCjzMUf13bqzOvs0Y6F4kqWq1Bhye8BCI1Jl8QFAZjzqi/aetcxUGaVR5OXjfQr/0piMnNrWLfpZ6CMiIiIiIiIyq9aFIuzs/NXKZmZmRk4EyIiMpQu9drB0thcEjsffgk3Yu8aKCMCAJVagy83XsLd0GSdsbdfboNubdwMkFXlE0zMUGfITJi6N9XGbHxfgMyE37sQEREREVH1UeWfi9RoNAgKCgIA2NnZGTYZIiKqNLmqPJgZmWrPbc1sMK71cKy9vBkAIBNkGOTdF96ODQ2VYq2n0Yj4YdtVXLobpzM2/gUfDPRrUPlJGYggyGDZtBMsvDsiN+Iu0gIPwNb3BUOnRUREREREVC5Vtlicl5eH0NBQ/PHHH0hKSoIgCPD29jZ0WkREpGfZihxsvfk3LkffwLcDF8DM+PHKzH6Nu+FUqD8ECHjL9xXUt/MwYKa1myiK+O3vWzh1OVJn7KWejTGqXxMDZGV4giDA3LM5zD2bGzoVIiIiIiKicqvQYrGPj0+RcVEU8d9//xU7Xlb9+/d/puuJiKjqEkUR5yMu4Y+rO5Gam9/7dvvtg5jQ9mXtHJkgw4fdp8PK1BIyoVp0Uqqxth8Lwv6zITrxvr71MGlICwiCYICsiIiIiIiI6FlU6E/aoihq/1vwq/DY0/wq4OPjg2HDhlVkukREVIUkZadgVcBGbaEYAA4FnUBoinTlqo2ZNQvFBnbo/CNs+ueeTrxTcxfMHN0WMhkLxURERERERNVRhf+0XbjAWxEcHR0xadIk/PnnnzA2Nq7QexMRUdXhZOmAl5o9L4lpRA323z9qoIyoKGevRmH17hs68RaNHPHBBF8YyVnIJyIiIiIiqq4qtA3Fxo0bJeeiKOL111+HIAho1aoV5syZU6b7yGQymJubw9nZGXXq1KnIFImIqIq4l/AQTRwbQi6Ta2PDfQbgv/CLiMtMgLHcGC83fwFDmz5nwCypsCv34/Hdlst48nPhhm42WDCpM0yN5UVfWEPlhN1G+tV/Yec3HKZ1Gxg6HSIiIiKiZ7J7927MmzcPAODu7o4TJ04YOCMyhAotFnfq1KnYMVtb2xLHiYiodkjNScPGa7vwX/hFTGg7Ei827acdMzEyweT2Y3H4wQlMaj8Gda2cDZgpFXYvLBnLNgRCpZZWil0dLbH4LT9Ymte+p39Sz+9BTshVZN3+D+aN2sLObxjM6rdkv2YiIiIiIqq2KrRYXJRhw4ZBEAR4e3vr+6WIiKiK+/fhGWy+sRfZyhwAwPZb++FXrz0cLey1c9q6Nkdb1+aGSpGKEBabjiW/XUCeQi2JO9iYYslUP9jbmBkoM8PJiwtFTshV7XlOyDVocjLh9sYXBsyKiIiIiIjo2ei9WPzFF/yhiYiI8j1MDtUWigEgV5WHDVd3YHa3KQbMikoSl5yNhb/6IyNbKYlbmhtj8ZSucHG0NFBmhpMXE4KEgz/rxG27DuOqYiIiIiIiqtb0XiwmIiIq8FqbEbgUdQOZiixtLDE7GTnKXJgb177VqVVdakYeFv56HsnpuZK4ibEcn07uggauNgbKzDDU2elIPrUZGVePAchvx+H62mIAgGBkClM3LwNmR0RERERE9OwqpVgcGhqK3Nz8HzQbNWoEExOTMl8bHR2N9PR0AICnpycsLCz0kiMREVWsW3H3kKdWooNbK23MxtQKr7UZgdUX/4SFsTleafUSnmvcAzKZzICZUlGyc5X4dK0/ohOzJHG5TMC81zvCp6GDgTKrfKJGjfQrR5Fyegs0uZlFzjGydeKqYiIiIiIDuH//Pv755x8EBAQgKioKKSkpAAA7Ozs0atQIHTp0QL9+/dC8eemt7hITE7Fnzx6cPXsWoaGhSElJgZmZGZycnNCuXTs8//zz6N27d6n3CQgIwIQJEyQ5lkXTpk21xxs3bkTnzp3LfO/09HTs27cPhw4dQkREBFJTU2FnZ4dmzZrhhRdewLBhwyCXF70h9fjx4xEYGCiJRUVFSfIpbMaMGZg5c6b2vLiN8cLCwrBv3z6cPn0acXFxSE5OhlqtxvHjx/Hvv//iyy+/BABYW1vj7NmzMDc3L/X3CAAiIiLw3HPPQfz/nbdXrVqF/v37l+laKp3ei8WpqakYOnQolEol3N3d8e+//5br+vPnz2PBggUAgClTpuC9997TR5pERFRBNKIGu+/8gx23DsDOzAY/D/kcctnjb0r6NPRDq7pNYW9mCyM5H3CpihRKNZauC0BIVJrO2P9eaQ9fn7oGyMowciPuIvGf36CIDy1yPGbTp7DpMBCOA96s3MSIiIiIarnExEQsWbIE//77r7ZoWFhcXBzi4uLg7++Pn376SafA+aTff/8dP/30E7KzsyVxhUKB9PR0hISEYNeuXWjXrh2WL1+Ohg0bVvh7eloBAQGYO3cu4uLiJPGEhAQkJCTg7Nmz2Lp1K3799Vc4OFTOoo/169fj22+/hVKpLHJ8xIgR+P7775GXl4eMjAwcPHgQI0eOLNO9d+zYof0zr1u3Lvr06VNheVMlFIv//fdfKBQKCIKAcePGlXv12EsvvYSvv/4aaWlp2L9/P4vFRERVWHpeJlZeWI/rsXcAACm5aYjPSoKrdR3tHEEQ4GzpaKgUqRRqtQZfb7qEW8FJOmNThrVC7/YeBsiq8mlys5B45Ddk3jpT7BxjR3c4Pj8ZFo3aVGJmRERERHT//n1MnToVMTExkri7uzvq1q0LIyMjJCYmIiwsDGp1/ibNBU+tF2XhwoXYtm2bJObi4gJPT09kZ2fjwYMHyMvLAwBcvXoVr7zyCn7//Xe0aNGigt9Z+V26dAmTJ0+GUqmEIAho3LgxHB0dkZGRgfv372vf/40bN/DOO+/gr7/+0qnNtWrVCiYmJoiPj0dQUBAAwNTUFB07dizyNT09PUvMaf369do9zORyOZo0aQJbW1skJycjJCQEQP7K70GDBmHPnj0AgG3btpWpWKxUKrFr1y7t+ahRo4pdMU1PR+/F4gsXLmiPBwwYUO7rjY2N0bdvX+zZswcxMTEICwtD/fr1KzJFIiKqICHJ4dpCcYH/HV6E5f0/QiOHkr+hIMMTRRE/7biOC7didcZeeb4phvRoZICsDCNu7wrkBF8tckwwMYN9j9Gw7TgIgty4kjMjIiIiqt1SUlIwffp0SaF4xIgRmDp1Kho0aCCZm52djTNnzmDnzp3FtgzbvHmzpFDs5eWFRYsWSQqlmZmZWLduHVavXg21Wo2UlBS8++672LdvH6ysrCr2DZbTjBkzoFQqMWbMGMyYMQN16jxeqJOQkIBPPvkEp06dAgBcuXIFBw4cwNChQyX3+OCDDwBI20k4OTnh999/L3c+SUlJ+OabbyCTyTBlyhRMmjQJtra22vG4uDjt+bhx47TF4hs3buDu3bvw8fEp8f7Hjx9HYmIigPxC9KhRo8qdI5VM78Xigt4pTk5OcHd3f6p7tG3bVvuX5/79+ywWExFVUW1dm2O4z0DsufuPNuZqVQcmLKhVCxsO3MGxi+E68cHdGuKV54vuV1YTqTKStYXigg3sCsgt7WBsVxeCEf9OExERERnC8uXLERUVpT3//PPPi12RamFhgYEDB2LgwIHIysrSGU9LS8PXX3+tPffy8sLmzZslxU0AsLKywrvvvgs3Nzd8/PHHAIDIyEisWrUKH374YUW8raeWkpKCOXPm4K233tIZc3Z2xsqVKzFs2DAEBwcDAHbt2qVTLK5IBXuWLV++HCNGjNAZr1v3cUu71q1bo0WLFrh9+zYAYOvWrVi8eLHONYUVLuz36tULLi4uFZE2FaL3HYViY2MhCMJTF4oBwMPj8SOvTz5iQEREhqNQKXRio1u+iObOTQAAXT19sfy5j+Bh61rZqVE57TrxALtPPdSJ92znjinDWtWqzdtyQq7pxGQm5jCt2wgmTh4sFBMREREZSEREBA4cOKA9f+WVV8rc59bS0lIntmPHDkmP4mXLlukUigsbOXKkpD/uzp07dXocV7b27dsXWSguYGJigtdff117fu3aNW1rCn3p0aNHkYXioowbN057vH///iKL+gXCw8Ph7++vPR87duzTJ0nF0nuxuKCnS1l3NCyKqamp9jgnJ+eZcyIiomcXkhyO2f8sxX9h0l1z5TI5/uc3GVN8X8WsLpNgbmxmoAyprI5cCMOGg3d04u2b1cH/xraHTFZ7CsUAkF2o/UTMpk8Rs2UpjB3dIDOzMGBWRERERHT48GFtodPY2Bhvv/32M93v2LFj2uMOHTqgTZvS96KYPHmy9jg9PR0BAQHPlMOzKlxsLU7hlhq5ubmIiIjQZ0rlKuK++OKL2gJ9VlYWDh48WOzc7du3aze2c3d3R48ePZ4tUSqS3ovF1tbWAIDk5OSnvkdqaqr2uKhPgoiIqPKIooijD89iwfGvEZeViF8vbUZkuvSpDztzW/Rv3L1WrUatrs7fiMbPO6/pxJvVt8e8CR1hbKT3bxWqFFGjRs6jG5KYeT0fyEye/kNvIiIiIqoYgYGPF6q0b99e0p+3vBQKhbb9AQDJiuGS+Pr6SlYfX7t27alzqAjt27cvdc6TrRpK2uyvIvj6+pZ5rpmZGYYPH64937p1a5HzlEoldu/erT0fPXq0zkZ9VDH0/rvq5OQEURQREhJS4lLykty48fiHNkdHx4pKjYiInsLeu0ew9vJmKDUqAECeKg/fnVuLXFWegTOj8rrxMAFfb7oMjSiNe7pYY+GbXWBmqvetDaocUaWATcdBMHVrAiD/ww7zxu0MmxQRERERAQBCQkK0xy1btnyme8XGxkKheNxWr1mzZmW6ThAEeHt7a8/DwsKeKY9n5ezsXOocCwvpE3IFfYX1wdraGnZ2duW65pVXXtEuNLp9+zZu3bqlM+fo0aNISkoCkL+qvKztR6j89F4sbtu2LQBApVJh//795b5eoVBI+tG0atWqolIjIqKn0LNBZ1ibSnf8jc6Iw92EBwbKiJ7Gg4gUfLYuACq1RhKv42CBJVP8YG1hYqDMDEtmYg6HnmPg/sYXqP/eOtQZ9j9YNvMzdFpEREREBOmT58+6mDAtLU1y7uDgUOZrC8/V9yrd0piYlP/79oJWDvpgZWVV+qQnNGjQAF27dtWeF97ErsD27du1x/369YOTk9PTJUil0nuxuGfPntrjH3/8UbJjZVn88MMPiI6OhiAIaNCgAerVq1fRKRIRUTk4Wtjj3S5vQPj/VZcO5nZY1Od9tHN9tk/2qfJExmdg0doLyMmTbmxhZ2WKpVP84GjLlgsAILewgVWLHjC2e/rHG4mIiIio4hReCVx4f6tnvReQv1q1rArPLdiri/I9bWuIwr2XDxw4gMzMTO15WFgYLly4oD3nxnb6pfdicb9+/VC/fn0A+X2LX3/9dUlbieIolUp8+eWXWLdunTb25ptv6i1PIiLSpVArsfP2IShU0m+k2rg0x8stXkDruj746vn5aObc2EAZUnklpORgwa/+SM+S/plamBlh0Vtd4OZc/pUARERERESVwcbGRnuckZFRYfcCUK7WqYXnFuzV9awKNu6rrfr06QNXV1cAQHZ2tqQ7wbZt27SroRs0aIAuXboYJMfaQu/FYplMhvnz50MQBAiCgMjISLzyyiuYNm0a9u3bh+DgYKSmpiInJwfx8fEICAjAypUr8dxzz2HDhg0QRRGCIKBt27YYMWKEvtMlIqL/F5uZgAXHvsb2W/ux7up2nfGRzQdjfs8ZsDGrmG+OSP/SsxT4dO15JKbmSOImRjIsmNQZjT3sDJMYEREREVEZFO7P++jRo2e615NtLMLDw8t8beG5RbXDeHKVslKpLPWeT7bFqG3kcjlGjx6tPS9oRaFQKLBnzx5tfMyYMdxIXc8qZeeaXr16Ye7cufjyyy8hCALUajVOnz6N06dPF3tNQZEYADw9PbFq1Sr+ZSAiqiSBkdfwc+BGZCvzi4onQs7Bx8kLvRo+/gSXO89WLzl5Kiz+zR8RcZmSuEwm4IPxvmjZmD2/iIiIiKhqa9u2Le7duwcAuHjxoqR2VF4ODg5wdXVFTEwMAODq1at46aWXSr0uJSVFUqguaqO9J/v2pqWlldpjNygoqCxp61Xhn/H02de4OKNHj8bPP/8MpVKJu3fv4saNG4iMjERycjKA/P7Mw4cPr/S8aptK+0n/jTfewPfffw9LS0sAj//SiaKo86uAKIro06cPduzYUa5G40RE9GweJodqC8UF1l7ejOiMOANlRM9CqVJj2YZABIWn6oy9O7otOrd0rfykqhhR1ECdk1n6RCIiIiIymB49emiPo6OjS1yEWBYdO3bUHh85cqRM/Yf//vtvaDSPN4kufI8Cbm5ukiL2/fv3S73v0aNHS52jb+bmj/cuyc3NrfTXd3JywnPPPac937p1K7Zu3ao9HzBgAOzt7Ss9r9qmUpeFDRw4ECdOnMDMmTPRsGHDYj+lsLCwQP/+/fHnn3/il19+0ekjQ0RE+jWm5RD4ODeRxAY26Y06llx9Wt2oNSK+3XwF14ISdMYmD22Bfh09DZBV1aOIfYSwFW8g6o/5SDm7A3nRDyGKmtIvJCIiIqJK06dPH3h6Pv7+denSpc/Uu7hw24Pk5GT8+uuvJc5PSUnB6tWrtecdOnSAl5eXzjwrKyvt/l0AcOjQoRLv++jRI+zatausaetN4TYfycnJz9wX+mk8udFdQECA9pwb21WOSn+G2MbGBu+88w4OHz6Mc+fOYePGjVi5ciW++eYbrFmzBnv37kVgYCB++umnIj+dISKiipeeK/0mQC6TY5bfJNiaWsPS2BwfdJ+G19qMgJFMbqAM6WmIoojVu2/g3PVonbFR/ZpgWC/db2xrq+zgq4CoQV7kfaSc2Yqo9R9CERtq6LSIiIiIqBC5XI65c+dqzyMjIzF+/HhERESUeN2NGzfwzz//6MQ7duyIzp07a89/+eWXYou2ycnJmDZtmrYlgiAImDFjRrGvOXDgQO3x3r17ceHChSLnhYWFYdq0acjJySlyvDI1bdpU0m95/fr1lZ5Dx44d4e3tDQCSld5NmjSBr69vpedTG1VKz+LiODo6FtkInIiIKodGo8H22wdw+MFJLO//IdxsXLRjDuZ2mNN9KuzNbFHHiiuKq6NN/9zDP/6hOvEBXepj/As+lZ9QFZYTck1yLre0hYlLA4PkQkRERETFe/755/HGG29oC5l3797FCy+8gIEDB6Jbt25wcXGBXC5HYmIi7ty5g9OnTyMoKAgTJkyQFHALfPHFFxg+fDhSU1Oh0Wgwf/58HDx4EIMHD4aHhwdyc3Nx5coVbN++XVsoBoAJEyaga9euxeY5btw4bNq0CZmZmVCpVHjzzTcxatQo9OjRAzY2NkhISIC/vz/27t2LvLw8jBgxArt3767437BysLS0RN++fXHkyBEAwKpVq7Br1y54eXnB1NRUO2/w4MEYPHiw3vIYO3YslixZIomNGTNGb69HUgYtFhMRkeGk5qbjR/91uBWf3z/r2/Nrsaz/hzA1MtHOaerU2FDp0TPadyYY24/pbpLRtbUrpr/chpvGFqLOzUJupLSPnHmjdhAEbuJIREREVBV99NFHsLKywk8//QRRFKFUKrF//37s37+/3Pdyc3PDn3/+iTfffBNxcfl7tJw7dw7nzp0r9prXXnsNH330UYn3rVu3LpYuXYo5c+ZArVZDqVRi8+bN2Lx5s87cHj16YPHixQYvFgPA/PnzcevWLURFRQEAYmNjERsbK5nj46PfhScvvfQSvv32W2RlZQHI76U8bNgwvb4mPcafgoiIaiGNqMFnp37UFooBICItGr9f3lrCVVRdnLgUgd/23dKJt2nihDmvdoBcxkJxYTmPbgBP9Ce2aNzWMMkQERERUZnMmDEDu3btQp8+fWBkVPxaSHNzcwwYMABDhw4tdo63tzf279+PSZMmwcrKqth5LVq0wJo1a7BgwQLIZKWX1AYNGoQ1a9agQYMGRY7b29tj9uzZWLNmDUxMTIqcU9lcXFzw999/46OPPoKfnx+cnZ0lq4org5WVlaQ39QsvvABra+tKzaE2E8TidpnTo4iICFy4cAE3b95ESkoKMjIyIIoi/vjjj8pOpVbp27ev9pMhd3d3nDhxwsAZEZEhXYu5jeVnVkHE438G6tm6YWnfObAwMS/hSqrKAm/H4vMNgdBopP+8e9Wzw+fTusLCzLiYK2uvhAM/I+P68UIRAfXfWwe5BTfYJSIiIqoOMjMzcfnyZURHRyMtLQ1yuRwODg5o1KgRWrRoUa5CrFKpxJUrVxAWFoaUlBSYmprCyckJ7du3h5ub21PlJ4oibt68iTt37iAtLQ3W1taoV68eOnfuXGWKxFXJvXv38NJLL2nPd+zYgdatWxswo9qlUttQPHjwAN9++y3OnDmDwjVqURSLfRx2xIgRuHv3LgRBwJ49e9C0adPKSpeIqEZr69oCw5sPxO47hwEAvRp0wZsdXpG0oaDq5XZIEr7ceFGnUOzubIVFb3ZhobgIoigiO+SqJGbq5sVCMREREVE1YmVlhV69elXIvYyNjdG5c2fJxnfPShAEtG7dmgXPMtqyZYv2uEWLFvx9q2SV1oZi3759GDVqFE6fPg2NRgNRFLW/SjJx4kTtvH379lVStkRENcvDpFBsv6Xbv2t0ixfR3rUlpnV8DW93msBCcTUWEpWGJb9fgEIlbafgZGeOpVO7wtaqch8dqy6UCRFQZyRLYuaN2xkoGyIiIiKi2i0uLg579uzRnr/22msGzKZ2qpRi8enTpzF//nzk5eVBFEUYGRmhc+fOeP311yU9SIry/PPPw9zcXHsfIiIqO1EUcTjoJBac+AY7bx/CmdAAybhMJsOHPd5G30bduOFZNRadmIlP1/ojO1cliVtbmGDJFD8427OtSHGyg6/oxCxYLCYiIiIiqnTp6emYN28e8vLyAOS3UH3xxRcNnFXto/c2FLm5uViwYAHUajUEQUCnTp2wbNkyeHh4AACCg4MRHh5e7PVmZmbo0qULTp48iZCQECQlJcHR0VHfaRMRVXu5qjz8HLgRFyIeF8PWXtqMhvb1UM/2ca8tFomrt+T0XCz81R+pGXmSuLmpHIve6oJ6dbkRREmyQ65JzmVmVjB1bWyYZIiIiIiIapkFCxYgKSkJGRkZuHv3LjIyMrRjc+fOZU9nA9D7yuLdu3cjPj4egiCgbdu2WLdunbZQXFaFe5MEBQVVdIpERDWSkcwIqTlpklieWoEfL6yHRtQUcxVVJ5nZCny6xh9xydmSuJFcho8ndoa3p72BMqseNIoc5IbflcTMG7WBIJMbKCMiIiIiotrl3LlzOH78OAIDAyWF4rFjx+KFF14wYGa1l96LxYVbRyxcuBBGRuVfzNy48eMVPpGRkRWSFxFRTWckk+N/fm/CxtRKG3OycMAU33GQCZXWsp70JFehwpLfAxAaky6JywRgzmsd0Mbb2UCZVR85obcAjbR1h0WjtoZJhoiIiIiolrOysoKvry+++uorLF682NDp1Fp6b0NRsBLYzc0NPj4+T3UPG5vHO5Knp6eXMJOIqPbKUymQociEk4WDNuZgYYd3u0zC56dXoq1rC8zo/DqsCxWPqXpSqTX44o+LuBuarDP29sg26NbarYir6Ek5wVd1YuaN2K+YiIiIiKiynDhxwtAp0BP0XixOTk6GIAhwd3d/6nsUXo2sVqsrIi0ioholOj0W355fCxkEfN7/A5gYPe7r1NrFB4v7vg9vp0ZcUVwDaDQivt9yFZfvxeuMTRjkgwFdGlR+UtWQKIrIfqJYbFK3IYys2bqDiIiIiIhqL71XDYyNjQEAKpWqlJnFS01N1R4XXmVMRETA+fBL+OjoF4hIi0ZYWhR+v7JNZ04zZy8WimsAURSxdu9NnL6q25JpWK/GGNm3iQGyqp6UyTFQpUkL7haN2xomGSIiIiIioipC75UDBwcHiKL4TL2G79y5oz12dmYPRiKiApFpMfje/3fkqvK0sZOPzuPUI38DZkX6svVoEA6ce6QT79exHiYNaQFBEAyQVfWUE3xFJ8YWFEREREREVNvpvVhc0Kc4ISEB9+/ff6p7HDlyBAAgCALat29fYbkREVV3HrauGOYzQCeelJ1igGxInw6ee4TNR+7pxDu3cMHMUW1ZKC6n7OBrknPBxBxmHk0NkwwREREREVEVofeexT179tQWe1euXImffvqpXNfv3r0bwcHBEAQBLVq0gL09ewkSERU2puUQBCWG4E7CA1ibWGJmlzfQ1rWFodOiCnTmaiR+3XNDJ96ikSPmjveFXM4WI+Vl330kTF0awrJZF2gUOZBb2ECQ6/3bIiIiIiIioipN7z9dvvjii6hTpw4A4Pjx4/jxxx/LfO2ZM2ewdOlS7fmkSZMqPD8ioupCrVFj0/U9+C8sUBKXy+SY5TcZvu5t8OWA+SwU1zCX78Xhu81XIIrSeCM3WyyY1BmmxnLDJFbNmdVrBoc+r8LUtTHM3JvCyK6uoVMiIiIiIiIyOL0voTE1NcWcOXPwwQcfQBAE/PLLL7h48SImT56MLl266MxXKBS4du0aduzYgUOHDkGtVkMQBPj6+uKFF17Qd7pERFVSck4qfvD/HXcTHsLUyBQN7OvBw8ZVO25vbosPuk8zYIakD/dCk7H8j4tQa6SVYlcnSyya0gWW5sYGyqxmEYyMwSYeREREREREgCCKT65V0o/vvvsOa9askfRUFAQBcrkcSqUSgiDAysoKmZmZ2vGC1Nzd3bFjxw44ODjoLb/z58/jn3/+wdWrVxEfH4/s7Gw4OTmhTp06aN26Nbp06QI/Pz9YWFiUeJ/MzEzs2bMHR44cQWhoKNLS0uDo6IjGjRtj0KBBGDJkCExMTPT2PkrSt29fREVFAcj/PT1x4oRB8iCi8glKDMHX/61GWl6GNuZh44plz30IMyNTA2ZGFU2p0iAsJh0PIlLwICIV529EIytXJZnjYGOGr2b2QF2Hkv89IiIiIiIiIiqvSisWA8CWLVvwxRdfIC8v73EChYrHRaXSvn17rFy5Eo6OjnrJKSQkBJ9++ikCAwNLnfvDDz9g4MCBxY5funQJc+fORXR0dLFzmjZtihUrVqBx48ZPle+zYLGYqHpKyk7BB/8uQ0ZepiT+cvNBGNNqiIGyomel0YiISsjEg4hUPAjPLw6HRKdBqdJI5i2b3k17LJcLaORmCzNT9tYlIiIiIiKiilepP22+8sor6NWrF9avX4+///4baWlpRRaIAaBZs2aYPHkyXnzxRb3t8H7jxg1MmjQJGRn5q/UEQUDz5s3RoEED7SrnkJAQBAUFQa1Wl3iv27dv46233kJ2djYAwNjYGH5+fqhTpw4iIiJw8eJFaDQa3L9/H6+//jp27twJFxcXvbwvIqpZHC3s8W6XN7Ds9E8Qkf81s3+j7hjuM8DAmVFZiaKIxNRcPIhIQdD/F4YfRqYi+4lVwyWRyQQ0cLVhoZiIiIiIiIj0plJXFhcmiiLu37+P+/fvIzU1FTk5ObC2toazszPatm2r3RRPX8LCwjBy5Eikp6cDyN+Ib/bs2XBzc9OZm56ejhMnTqBx48Zo1aqVzrhCocDAgQO1q3ZbtGiBn3/+WVIMfvjwIaZNm4aIiAgAQMeOHbFp0yZ9vLVicWUxUfXwMCkUnrZuMDGStqzZdnM/Dtw/hrd8x6Fng84Gyo7KIj1LoW0l8SA8FUERKUjNyCv9wmIYG8nw8Rud0KEZN2F7FursdGTeOQ8rHz/ILW0NnQ4REREREVGVY7BisSGJoogJEyZoW09MmTIFs2fPfur7/fnnn/jss88AAHZ2djh06FCRbTMePnyI4cOHQ6FQAADWrFmDXr16PfXrlheLxURVmyiKOHD/OP66sQe9G/phWsfXJOMajQbxWYlwsdbvh2lUPrl5KgRHpf3/quFUPIhIQWxS9jPf19hIhkbutmha3x5DezRmj+IKkH7lXyQe/hUQZDCv3wKWzbvBqmVPyIzZ+5uIiIiIiAio5DYUVcW///6rLRS3atUK77333jPdb/PmzdrjyZMnF9tf2cvLC8OHD8e2bdsA5PdwrsxiMRFVXVmKbKwK3IhLUdcBACdCzsHHyQu9GnbRzpHJZCwUG5hKrUFoTLq2x/CDiFSEx6ZD84wfu8oEwNPFBk3q2aGJpz2869mhvqsNjOSyikmcAACZd87lH4ga5ITeRG7kfVg1727YpIiIiIiIiKqQWlksLijWAsCkSZMgkz39D+OPHj1CSEiI9nz48OElzi9cLD5//jyysrJgaWn51K9PRDXD0eCz2kJxgbWXN6OhfT142rkbKKvaTaMREZ2YqV0t/CAiFSFRuhvQPQ1XR0ttYbhJPTs0duemdfqmykhBbthtScy8cTvITM0NlBEREREREVHVY7CfTPPy8nD79m2EhoYiPT0dCoUCVlZWcHJyQosWLeDurp/iSEJCAs6fPw8gfxO6fv36PdP9AgICtMcNGzaEs7NzifNbtWoFCwsLZGdnIy8vD9euXUO3bt1KvIaIar4hTfvjaswt3E14qI3ZmdlAIz57YZJKV3gDugcRqQgKTyn3BnTFsbc2hff/F4Wb1LOHVz072FialH4hVaise/4ApEvArZrz318iIiIiIqLCKr1YfO7cOfz11184c+YM1Gp1sfNcXV0xcuRIjB07Fg4ODhX2+tevX0dBm+bGjRvD1NQUWVlZ2LFjBw4dOoSwsDDk5ubC0dERrVu3xuDBg/Hcc88Ve7/g4GDtcYsWLUp9fSMjI3h7e+PatWva61ksJqp9RFGEIAjac7lMjll+k/HhkWVIy8tAR/c2eLvTBFiasE+tPmRkK/Dg/1cMF6wcTnmGDegKWJgZaYvCTerZwdvTHo62ZpI/azIMbQuK/ycYm8HCq4OBsiEiIiIiIqqaKq1YnJKSgk8//RRHjx4FAG3BtuAH6MKFE1EUER0djZUrV2Ljxo1YuHAhBg0aVCF53Lx5U3vs6uqKe/fuYebMmQgPD5fMi4qKQlRUFA4fPoz27dtj5cqVcHJy0rlfaGio5H5l4eLioj1+9OhROd8BEVV3EWnR+DlwI2Z2ngg3m8dfDxzM7fCu3ySEpkTixab9WGCsIIU3oMsvEKciJinrme9bsAFdQVG4ST07uDlZQSbjn1tVo0pPRF7kPUnMokkHyEzMDJQREREREdUmGRkZOHPmDPz9/XHr1i0kJycjJSUFMpkM1tbWcHFxQfPmzdGuXTv07dsXtra2hk6ZarFKKRYnJCTgjTfeQHBwsM5qOgAwNzeHiYkJMjMzoVJJH/lNTU3F7NmzER8fj4kTJz5zLrGxsdrjjIwMvPnmm0hISIAgCGjVqhWaNGkChUKBq1evIjIyEgBw5coVvPLKK9i1axdsbGx08itQVDG5KIVbVaSlpT3DuyGi6uZMaADWXtqMPLUC355fi2X9P4Sp0eOWBK3qNkOrus0MmGH1pt2ALiJVuwmdPjaga1LPDg24AV21kXn3vE6MLSiIiIiISN8yMzOxYcMGbNiwARkZGUXOyc3NRUJCAm7evIlt27bB2NgYffv2xTvvvIOmTZtWcsZElVQsfv/99/Hw4UNtkdjFxQUjR45E79690aRJE5iYPC6UxMXF4fr16/j7779x/PhxCIIAURTx5ZdfomnTpvDz83umXNLT07XHly5dApBfvP3xxx/Rvn177ZgoitiyZQs+++wzqNVqhIeHY8mSJfjmm28k98vOztYem5qalimHwvMKX09ENdum67vx972j2vOItGj8fnkr3u48wYBZVV8FG9A9iEjV9hl+FJUGRYVuQJffUoIb0FVvWbefaEFhagHzxu0MlA0RERER1QahoaGYPn06QkJCJHF3d3d4e3vDzs4OMpkMycnJiIyMxIMHDwAASqUSR44cwb///oudO3eiZcuWhkifajG9/+R7+PBhXLx4UVsofuWVV/DRRx8VW1itW7cunn/+eTz//PO4evUq3n33XSQmJkIURXz++ec4cODAM+WTk5MjOTcyMsKvv/6q029YEASMGzcOubm5+PLLLwEABw8exMyZM1G/fn3tvLy8xz0ujY2Ny5RD4eJ4bm5uud8DEVVPLep4S4rFAHA69AIGefdFA3sPA2VVPYiiiKS0XEmP4YcRqciqgA3o7KxN4V3PHt6e3ICuJlKmxCIv5qEkZundETIj/hkTERERkX4EBwfjlVde0T5NbmxsjFGjRmHixImSmlJhCQkJOHXqFDZs2ICHDx9CFEXWjMgg9F4s3r9/v/Z42LBh+PTTT8t8bbt27bBhwwaMGDECeXl5CA4Oxt27d+Hj4/PU+TxZpH7hhRdK3JhuwoQJWL9+PeLj46HRaPDPP/9g6tSpRd5PqVSWKQeFQqE9NjNjv0Si2qKda0uMaD4Qu+/8AwCwNbXGu36TWCguQuEN6ApWDVfUBnReHo97DDepZw8nO25AV5NlsQUFEREREVWi7OxsvPvuu9pCsaOjI1avXo3WrVuXeJ2zszNGjRqFkSNH4tChQ1i6dGllpEukQ+/F4rt37wIA5HI55syZU+7rGzdujJdffhmbN28GANy+ffuZisUWFhaS8379+pU438jICL1798b27dsBAFevXi32foVXGZek8Lwn8yGimkGlVuFi9HX41esgiY9uMQT3E0OgETWY5TcZDuZ2hkmwCslVqBAcmSbpM1zRG9A1+f+Vw9yArvbJvCMtFsvMrGDesORv1ImIiIiIntbq1avx8GH+k23GxsZYu3ZtiYsUnyQIAgYPHozOnTtDrVbrK02iYum9WJyUlARBENCkSRM4Ojo+1T26du2qLRYnJyc/Uz52dnaScy8vr1Kvady4sfY4Pj5eMlZ4h8rExMQy5VB4Hne4JKp5ErOSscL/NzxIegRlZxV6NuisHZPJZJjdbQrMjcwgl8kNmKVhqNQahP3/BnRBBRvQxWVA84w70BW1AV19FxsYG3EDutpMkRQFRdwjScyyaWcI8rK1jSIiIiIiKo/MzExs2bJFez558uRyFYoLc3JyKtO8q1ev4uDBgwgICEB8fDyysrJgZ2cHLy8v9OnTB6NGjSp1oWLhjfTu378PALh58yZ27tyJwMBAxMfHIzMzExMmTMDHH39c7DU3btzAli1bcPnyZcTFxcHIyAgtWrTAa6+9hueff17ymiqVStuXOSQkBElJSXB0dETXrl0xffp01KtXr9T3HhkZidOnT+PSpUsICgpCbGwscnNzYWVlBVdXV/j6+mLkyJFo1qz0TeTHjx+PwMBAAMDGjRvRuXNnJCcnY9u2bfj3338RFRWFvLw8uLi4wM/PD5MnTy42xxkzZuDo0fwWlB988AEmT55c6usDwOzZs7Xtd2fOnIkZM2aU6bqKpvdisa2tLRITE2FjY/PU9yhc4H2y2FtejRo1kpyXZWWvpaWl9jgrS7rarWHDhjh79iwAICYmpkw5FJ7XsGHDMl1DRNXD1ZhbWHlhAzIV+V8r1l7ajEb2nvCwddXOsTKxLO7yGic9S4HL9+K0q4ZDKmgDOhdHC3jXs+cGdFSirDvndGKWbEFBRERERHpy+PBhpKenA8h/Uv3VV1/V22ulpKTg448/xvHjx3XGEhISkJCQAH9/f6xduxbffPMNunTpUqb7iqKI77//HmvWrIFGU/af3X755Rf8+OOPOtcEBAQgICAAb775JubOnavNb9q0abh165ZkbkxMDHbt2oVDhw5hzZo16NSpU7Gv9+WXX2L9+vUQRd2FR6mpqUhNTcXdu3exadMmjBs3DvPnz4eRUdl/Zrx48SLee+89JCQkSOKhoaEIDQ3F7t27sWLFiiI7FowaNUpbLN69e3eZisUZGRk4duwYgPxFZiNGjChzrhVN7z9Ze3h4ICEhAXFxcU99j9jYWMn9nsWTK4mzs7NLvaZwgdjKykoyVnjV8Z07d0q9l0qlQlBQUJHXE1H1Jooi9t79V1soBoA8tQLfnl+D5f0/hJlx7epRfvpKJH7edR3Zz7gJXcEGdE087eDNDeioHDKfKBbLLGxg3oC7SRMRERGRfhSsTAUAX19f1KlTRy+vExcXhwkTJiA0NFQb8/HxgZeXFywsLBAfH4+LFy8iMzMTCQkJePPNN7FmzRp07dq11HuvXbsWq1evBpC/wLFly5YwMTFBaGgoZLKin9z866+/8P3330MQBLRu3RpeXl5QqVQICAjQ1gN/++03NGnSBAMGDMCkSZMQFBQECwsLdOrUCXXq1EF8fDz8/f2Rl5eHnJwczJw5E0eOHCl20WhsbCxEUYRMJkPDhg3RsGFD2NrawsjICCkpKbh58yZiYmIgiiL++usvKJXKMveBDgoKwnfffYfs7Gw4Ozujffv2sLW1RXR0NAICAqBUKpGXl4f3338fBw4c0Flh3KNHD7i5uSE6OhoPHz7EtWvX0LZt2xJfc//+/doNDbt27Qo3N7cy5aoPei8WDxgwAFevXkVYWBiCg4OfqjhaUI23tbUt8VOFsmjbti3Mzc2Rk5MDAHj48CGaNGlS4jXBwcHaY1dXV8lY586PHy9/9OgREhMTS3xU4Pbt29oCtampaal/WYio+hAEAbO6TMIH/36O9LxMbbxVnWa1ruXE2atR+G7zZWhEYNn0sq/klMkEmJsawcLMCOam+b+MjWTcgI7KTREfDmVipCRm1cwPQi37f5GIiIiIKs/ly5e1x6VtaPe01Go1Zs+erS0U+/r6YvHixTqLIzMzM7FixQps2rQJSqUSc+fOxeHDh0t98v/777+Hra0tvv76a/Tq1UsyplAoirxm+fLlcHNzww8//CB53wqFAvPmzdO2Vvj5559x48YNBAUF4cUXX8TChQsl7VnDwsIwYcIExMbGIjU1FRs3bsS7775b5Gu2aNECPXv2RO/evWFvb1/knFOnTmH+/PlISkrC9u3bMXToUHTs2LHE9w8AX331FTQaDT755BOMGzcOcvnjnyGCg4MxefJkxMTEIDc3F6tWrcIXX3whub5gZfBPP/0EANi1a1ep9b9du3Zpj19++eVSc9QnvTdzHD58uLZ4umjRIiiVynJdf/r0aRw5cgSCIGDixInlWjJeFHNzc3Tv3l17fuLEiRLnq9VqnD59Wnvu6+srGW/YsKG2tYUoiti7d2+J99uzZ4/22M/PT9LigoiqH5VGuuGAg4Ud3u0yCQIEmBmZ4n9+kzGpwxgY16Ieqf43Y/DN/xeKSyIIgIWZERxtzeBR1wpNPO3QvKEDGrnbwsXRErZWpjAxlrNQTE/lyVXFAFtQEBEREZF+FX6qXl9Pku/fvx8XL14EAHTq1Anr168vcj8uKysrLFiwQNvOIDExUdJPuTiiKGL16tU6hWIAMDEp+glPIyMjrFu3TqdAbmJigiVLlmhXB4eFheGvv/5C9+7d8c033+js41W/fn18+OGH2vNDhw4Vm+ebb76J4cOHF1soBoDevXtrV0kDwKZNm4qdW5hCocCiRYswfvx4SaEYyP9zXbJkifb8yJEjUKl0n6Z9+eWXtSuxDx06pF20WpSgoCBtSw47Ozv079+/THnqS6X0LF6xYgXefPNNXLp0CZMmTcLnn38OT0/PEq8TRRFbtmzBl19+CQDo2bMnpk2bViE5jR8/Xrta+fDhw5g0aRJ8fHyKnPvnn39q/2c3MTHB4MGDdeaMGzcOn332GQDg999/x4gRI+Dg4KAzLzg4GLt375ZcR0TVk0bUYN/df3Eh4gqW9psDE6PH/2i2dvHBW76voLlzE7jZuBgwy8p36W4cvvrzomTDuvm/nJNuQPf/m9BxAzrSJ5mpOeRWDqgzbBYAQJAbw9Td28BZEREREVFNlZGRISkaWltbl3rNli1b8ODBg2LH7ezsdFbWbtiwAUD+k62LFy8utoBb4L333sOePXsgiiIOHDiAqVOnljj/hRdeQPv27UvNvbCxY8cWuyeXpaUlevfuLVlc+eGHHxa7KKhfv34wMTGBQqFAaGgoMjMzdVrClkfr1q3RuHFjBAcH48KFC2W6plmzZhg1alSx4z169ICzszMSEhKQnZ2N4OBgyYZ/AODm5obu3bvjzJkzyMzMxJEjRzBs2LAi77dz507t8ZAhQ0r9M9U3vReLo6Oj4e7ujhUrVuCTTz7BpUuXMHjwYHTv3h09e/aEt7c37OzsYGJigqysLERGRuL69es4fPgwoqKiAAAvvvgiZs2ahejo6BJfq6z9PDp37ow+ffrg5MmTUCqVmDJlClauXClZEi6KIrZv346vv/5aGxs/fjycnZ117jdmzBisX78eUVFRSE5OxpQpU7Bq1SrUrVtXOyc4OBjTpk1DXl4eAKBjx45FfkpDRFVfRl4mfgr4A1dj8j/5+/3KNkzvNF4yp3/jHoZIzaCuByVg+YZAqNTSJcUONmZY/k43uDk9/T/wROVl5zcMtl2GQpOXA012GiAz4ip1IiIiqtFEUcSh86G4eCcWeUp16RfUcKbGcnRq4YIX/BpUyveBhfe7AgALC4tSrzl16hROnTpV7Li7u7ukWBwXF4e7d+8CAJo3b6590r0kderUQaNGjRAcHIwHDx4gPT29xFYUgwYNKvWeT3ruuedKHC/c/rVBgwbw9i5+EYepqSk8PT3x8OFDiKKIqKgonULskyIjI3Hjxg2EhoYiIyMDCoVCsvFdRkYGgPyN76Kjo0utHw4YMKDEcUEQ0KxZM+3md8XlOHr0aJw5cwZAfpuJoorFSqUSf//9t/Z85MiRJb52ZdB7sbhv376S/ylFUYRSqSz1f4iCP1RBEHDw4EEcPHiwxNcRBKFMG8wVWLZsGV555RWEhoYiPj4eY8eORevWrdGkSRMoFApcvXoVERER2vm+vr547733iryXiYkJVq5ciVdffRU5OTm4efMm+vfvDz8/Pzg7OyMqKgoBAQHaHSGdnZ0lRWgiqj5ylbn46N/lSMhO1sZOPjoPH2cv9G7oZ8DMDOt2SBKWrg+AQiXd+dbOyhSfTevKQjEZhCDIIDezhNyMLZ+IiIio5jvsH4rVu28YOo0q5fK9eAgAXuha9KrXivRkm9GC/aoq0vXr17XHmZmZknYIJUlPTweQX2uLjY0tsVjcvHnzcudV2l5ghdtNlKU9R+H8MjMzi5136dIlfPvtt7hy5UoZssyXmppaarG4pGJ2gcLvqbgc+/TpAycnJyQmJuLixYsIDw/X6bRw4sQJpKSkAMjvw9ysWbNSX1vf9F4sLiCKIgRB0Pk0p3ClH4B2vLR5z8rBwQEbNmzABx98gMDAQIiiiOvXr0v+xyswdOhQLF26FMbGxfccbdGiBX777TfMnTsX0dHRUCgUkl7HBby9vbFixQqdjfKIqHowMzZDt/odsffuEUn8UNAJ9KzfudjdYWuyoPAULP7tAvIU0tUL1hbGWDqtK+rVLf3xKyIiIiIiejZ3HyWXPqkWuvMouVKKxVZWVpDL5VCr838uKljNWpJff/1VJ7Z7927MmzevyPnx8fHa47CwMISFhZU7z4LCcXGKaqtamtJabhTu+1uW9hyF9ysrqh8wAGzfvh0LFy4sd73wyRXgRSlL24vCNcLicjQyMsLw4cOxdu1aiKKIXbt26SxErUob2xWolGJxwR9cWf4AK7ooXBJXV1ds3LgRx48fx/79+3Hr1i0kJiZCLpejTp066NSpE15++WW0adOmTPfz9fXF/v37sXv3bvzzzz8IDw9HamoqHBwc4OXlhUGDBmHo0KEG7z1CRM9mTMshCEoMwZ2E/N5SfvU6YGrHV2tloTg4MhUL1/gjJ0/6j6OlmRGWTO2KBq4l77RLREREREQVw6ehA05diTR0GlVO84blL34+DUEQ4OLiom2pGhwcXOGvUZYCdGkKitnFMTMzK/c9y9PmoyJagjx48ACLFi3S1hC9vb0xZswYtG3bFm5ubrCyspLU3saPH4/AwEAA0D71r+8cC4waNQq//fYbRFHEvn37MGvWLG3tID4+Hv/99x+A/PYbQ4YMqbDXfRZ6LxYfP35c3y/xTARBQP/+/Stsp0ErKytMmDABEyZMqJD7EZHhaEQNbscHIU+VB1/3xx8ayWVyzPKbjI+PfYWhzZ7DAK9etbIXalhMOhb86o+sHKUkbm4qx6IpfvDysDNMYlRrFTzFRERERFQbveDXAAAQeJs9i4HHPYsH/v/vS2Xo0KGDtlh840bFtwQxNzfXHg8aNAgrVqyo8NeoDv744w9t0btnz574+eefS+wGUJbVxPpSv359dOzYEYGBgYiJicG5c+fQo0f+Hkd79+7Vvo/nn3++xPYglUnvxWJ3d3d9vwQRUYVbdnol7iUGI1eVB1MjUyx/7kN42DxuH2NvbovvBy2Cibz4f5BqsqiETHzy63lkZCskcRNjORZO7oJm9Svn03uiArkR95B0/A849n8dZh6G7/NFREREVNkEQcCgrg0xqBJaLlDROnfurN2s7NKlS4iPj0edOnUq7P5OTk7a48TExAq7b3Vz4cIF7fGsWbNKLBQDQHR0tL5TKtHo0aO1K5t37dqlLRZXxRYUAFD7npkmolovPDUKpx75Y+PVnfjs1I9Ye2mzzpwcVR5yVXkAgI96vI1cZR40ovRxldpaKI5NysLHv5xDakaeJG5sJMOCSZ3QsrFTMVcS6Ycoikg6tgF5UUGI/uNjxO3+BsqUWEOnRURERES1zAsvvKBdHapSqfDXX39V6P1bt26tPb516xYUCkUJs2uuwr2bS9uMLjg4WLuBnKEMGDAAdnZ2API7MKSmpuLSpUsIDQ0FAHh4eKBLly6GS/AJLBYTUY2k0WgQnRGHewm6faI2XtuFnwM34kDQcdyIu4vb8UE6c+rZSndHzVMrEJMRrzOvtolPycbHq88jKS1XEjeSC5j3eke09a64T82JyirrzjnkRT94fH7XH/H7fjBgRkRERERUG1laWmLcuHHa899//x23b9+usPt7enqiQYMGAIDs7Gzs27evwu5dnRTeLygnJ6fEuVu2bNF3OqUyMTHB0KFDAQAKhQL79++XrCoeMWJElWqnp/dicUVuWKeP5uBEVLP88+AUPvp3OSbs/h/+d2gRfrjwu84czycKwTGZ8VCoFMXOWXxyBVYF/IG03GffTKA6S0rLwSerzyM+OVsSl8kEzH3NFx2buxgoM6rNNCoFkk9u0ok79B5XxGwiIiIiIv2aOnUqvLy8AABKpRJvvfVWhfYvfvPNN7XHX3/9NR49elTma2tK64p69eppj0+ePFnsvGvXrlWJYjGQv9Fdga1bt+Kff/4BkF/4HjFihKHSKpLei8UTJkxAXFzcM99n27ZtGDlyZAVkRETVVa4yF0GJITgW/B/WXdmGr87+ovOBVGpuOkJSwqFQ52+6lpSdgmyF9JPGJ1cNi6KIyHTpI+tNnRqjd0M/TGg7Ep/0ehc/Dl6C5nWa6OFdVQ+pGXlY8Ot5xCRKNwYQBOD9V9qja2u3Yq4k0q/0wINQpSVIYhZNfGHeoJWBMiIiIiKi2szCwgI//vgjbG1tAQBJSUkYN24clixZgrCwsGKvy83NxYEDB7BmzZoS7z98+HB07NgRAJCWloaxY8diz549UKlURc5PSUnBjh07MGLECPz+u+5iquqoV69e2uPly5fj/PnzOnOOHTuGt956CyqVChYWFpWZXpG8vb3Rtm1bAMDDhw+RnZ2/CKtr165wdXUt4crKp/cN7i5evIhhw4Zh2bJl6NOnT7mvz8jIwCeffIJ///1XD9kRUVWk0qgRmxEPN5u6kAmPP9M69OAktt78WzI3NTcd9ua22nNPW91NNcPTotHMufHjOXb5cwRBgIuVM+rbekheBwAa2tfD250mVMj7qe4yshVY8Ot5RMRl6oy9O7oderX3MEBWRIA6Kw0p53dLg4IMDn3HGyYhIiIiIiIAjRs3xvbt2zFt2jQ8evQISqUSf/31F/766y+4u7vD29sb9vb2MDY2RlZWFiIjI3H//n1JSwWZTIb+/fvr3NvIyAg//PADJk6ciKCgIKSmpuKjjz7C8uXL0bZtWzg7OwMA0tPTERwcjEePHkGjyd9/p3PnzpXzG6BnEydOxI4dO5CamorU1FS88cYbaNmyJby8vKDRaHDjxg1tP+DRo0cjNDRUu8GcIY0aNQrXrl2TxKriwli9F4sBIDU1FW+//TZee+01fPDBB6XuUljg6tWrmD17NmJiYiCKYpXq30FEFSs4OQwHg04gIjUKURlxUGlUWDl4CepaOWvnFFUIjkiLfqJYrLvCNTwtSlostnXDF899BA8bV5gYmVTwO6lZsnKUWPjreYTGpOuMTX+5Nfp38jRAVkT5Us5sg5gnbYti02EATJz4AQYRERERGVaDBg2wc+dOrFu3Dhs3bkRGRn5bw6ioKERFRRV7nbGxMfr27Yvp06fDx8enyDmOjo7YunUrPvvsM+zbtw9qtRppaWk4ffp0sfe1trYudTO46sLJyQk///wz3n77baSmpgLI3/Dv1q1bknmjRo3CggULMHnyZANkqWvQoEFYtmwZsrLyn9i1s7NDv379DJyVLr0Xi21sbJCRkQFRFLFp0yZcvnwZ3333nbYhd3F++eUXrFq1Cmq1Wht77rnn9JwtEelLliIb4WlRCE+NRkRaNF5s1h8uhQrB2coc/Bcm/aQvPC36iWJx0YXg1i6P/wF1ta6DZk6N4W7jCk9bN3jauaOBnbRwZCw3RiOH+hX11mqsnDwVFv92AQ8j03TGJg9tiUFdGxogK6J8isRIpF89KonJTC1g32O0gTIiIiIiIpKysrLCu+++izfeeAOnT5/G+fPncfv2bSQnJyM1NRUymQw2NjZwdnZGixYt0KZNG/Tr1w/29val3tvS0hLLly/HtGnTsG/fPgQEBCA8PFxbPLW1tYWnpyeaN28OPz8/dO/eHaampnp+x5WnQ4cOOHDgADZs2IBTp04hMjISMpkMzs7OaNu2LV5++eUqt5LawsIC3bp103ZPGDp0KExMqt4CNkGsyB3oihAVFYXZs2fj2rVrEAQBoijCwsICCxcuxLBhw3Tmx8fHY+7cuQgMDNT2IjU1NcW8efMwduxYfaZa4/Xt21f76ZW7uztOnDhh4IyoJlKqlRBFUbJi92FSKOYf+1Iy790uk9C9fkfteVpuOt7a96FkzpiWQ/Byi0Hac42owcTd7yNXlQe5IIObdV0MaNIbz3v11NO7qb1yFSos+S0AN4N1N0CYMMgHo/rVjE+kqfqK3bYM2Q8vS2IOfcfDzm+YYRIiIiIiIiIqgVKpRM+ePZGcnAwA+Pvvv9G0aVMDZ6VL7yuL3d3d8ddff+HHH3/E2rVrAQDZ2dmYN28ezp07h8WLF2sbTZ86dQrz5s3TfgoCAF5eXlixYgWaNKm9G0sRVWU5ylwcCjqB8LT8FcPRGXGY4jsOfRt1085xs6mrc11EWrTk3NbMBjamVkjPe9wXN/yJOTJBhve7vgV7c1u4WdeFsbxsLW2ofBRKNZatDyyyUDzmOW8Wisngsh9d1ykUG9nWgU3HQcVcQUREREREZFgnT57UFopbtWpVJQvFQCX1LJbL5XjvvffQpUsXfPDBB0hISIAoijhw4ABu3LiB5cuX4/Dhw9i0aRMAaFcUjx49Gh9//HGNWiZPVB2l52UiPDUK4WlR8LR1R8u6j7+gGcnk2HH7IDSiRhsLT5X2X7IwNoezhQMSspMfz0nT7dHk49wE6XkZqGfrBk9bd3g5NNCZ09a1RQW8IyqOUqXBlxsv4WpQgs7Y8N5eeHVAMwNkRfSYqFEj+dgfOnGHvq9Bxh7kRERERERURf3555/a46rcPaFSisUF/Pz8sG/fPnz44Yc4e/YsRFFEWFgYXn31VQCPi8Q2NjZYunQpBgwYUJnpEdV6T24kKYoiZh5cgPisJG2sf6PukmKxsdwYrtZ1EJUeq41FpEtXBANAPTt3bbHYSGaEovrfzO42pQLeBT0ttVqDb/+6jMA7sTpjL3ZriDdebM6NRsngMm6cgiI+TBIzdW8KS5+uBsqIiIiIiIioZPv370dgYP4+Tc7OznjxxRcNnFHxKrVYDAAODg5Yu3Yt1q9fj6+//hqiKGqLxIIgoF27dvjmm2/g5qa7kRURVawr0TfxMDkM4WlRiEiNhrdTI7zT+XXtuCAIsDKxlBSLn2wNAQCetu6SYnF4qu6cQU36oGf9zvC0c4OrVR3IZfIKfjf0LNQaEd9vvYpzN3T/7J7vXB9vDWvFQjEZnEaRg5RTm3Xijv1f599PIiIiIiKqMsLCwrBp0yao1WqEhITA399fO/b222/DzMzMgNmVrNKLxQCQk5ODe/fuQaPRQBAEyQ94Dg4OsLKyMkRaRDWSUq3E3YSHUKgV8HVvIxnbe/cI7iUGa89NiniE29PWHSEp4drziLRonRXI9WzdcDv+Pjxt3eFp64Z6tm7QiBrIBJl2TmsXn4p8W1SBNBoRq3Zcw6krkTpjvTt44O2RbSCTsRBHhpfqvw/qrFRJzNKnK8w8qmavLyIiIiIiqp1iY2OxceNGnXjv3r3xyiuvGCCjsqv0YvHdu3fx3nvvISwsDIIgaItOBf89fvw4hg0bhq+++gq+vr6VnR5RjXIr7h5WBWxEUk4KXK3q6BSLPW3dJcXiqPRYqDRqGBVa9etpJ13lrxbVSM1Nh725rTY23GcARrbgxlLVkSiKWLP3Jo4GhuuMdWvjhv+NaQc5C8VUBajSk5B2YZ80KDeCQ9/XDJMQERERERFRGRgbG8PT0xMvvfQSJk2aVOWfihTEgh4QlWDjxo345ptvoFQqta0n+vXrh/nz5+O7777DwYMHtYVjuVyO6dOn45133qnyv4nVRd++fREVlb+pmLu7O06cOGHgjEifrkTfxLfn1kCpUeHTPu8BAHycvSSrfZNzUhGTES+5zsuhPkyNHm8qmavMQ4YiE6ZGpshSZKOupRNkMhmo+hNFEev238be08E6Y51buOCj1zvCSM4/a6oakk9vQep/OyUx2y4vwbHfBANlREREREREVPNUShUgNTUV06dPx/Lly6FQKCCKIkxMTPDxxx9j1apVcHd3x7fffovPP/8cZmZmEAQBarUaq1atwoQJExAXF1cZaRLVGAq1EmsvbYFSo5LE81QKybmZPL8obCQzgpWJBRwt7CEI0i8LZsamcLZ0hI2pFVyt67BQXIP89c+9IgvF7ZvWwYcTfFkopirFvucYOA+ZCbm1AwBAZm4Nu24vGzgrIiIiIiKimkXvK4svXryIuXPnagu+oiiiQYMGWLFiBXx8dHuYhoSE4P3338e9e/e0q4xtbW3x+eefo3///vpMtcbjyuLaJTw1CotOrkCmIksbe7vTBPRu6Kc9V6lVyFHlwtqUfcJrm+3HgvDn4bs68VaNnbDwzc4wMzFIS3uiUmmUeUi78DfkVvawacfvC4iIiIiIiCqS3ovFzZs3hyiK2rYTL730Ej799FNYWFgUe41CocBXX32FTZs2SfoZjxkzBosWLdJnujUai8W1T0hyGBaf+h5yQY4ZnV9HO9eWbOtC2Hv6IX7/+7ZO3KeBAxZP8YO5KQvFRERERERERLWR3ovFzZo1gyAIMDc3x8KFCzFs2LAyX3v8+HHMnz8f6enp2oLx3bu6K+GobFgsrtluxd1HizreOsXgoMQQmBmZwtPO3UCZUVVy8NwjrN59QyfuVc8On03tCktzYwNkRURERERERERVQaU0pPTx8cHu3bvLVSgG8je/27dvHzp06KCfxIhqiL13j2DJqe/x5/XdePLzH2+nRiwUEwDgaEBYkYXihm42WDLFj4ViIiIiIiIiolpO78Xi1157DVu3bkWDBg2e6noXFxds3LgRM2bM4MZaRE8QRRHbbu7H5ht7AQAH7h/DjtsHDJsUVUmnrkRi5Y5rOvF6da2xdGpXWFuYVH5SRCXQ5GZBkRhp6DSIiIiIiIhqFb03pvzkk0+e+R4ymQwzZsxAly5dKiAjoprjeMg57LpzSBLbefsQ7M3s8JxXDwNlRVXNuRvRWLHlCp5sOuTqZInPpnWFrZWpYRIjKkHK+d1Iu/A3bNo/D/seoyG3tDV0SkRERERERDVetVqq6+vra+gUiKqU7p6+aOrYSBLztHVHR482BsqIqprAO7H4+s9L0GikleI6Dhb4fFo3ONiYGSgzouIpU+OQFngAEDVIv/wPwn+ZgbSLh0q/kIiIiIiIiJ6JwYvFmZmZiI2NRXR0tKFTIap2zIzNMK/nDDSy9wQANLL3xKd9/gc7MxsDZ0ZVwdX78Vi+4SLUTxSKnWzN8Pm0rnC2NzdQZkQlSz75F6BWac/FvGyos9MNmBEREREREVHtoPc2FE+Kj4/Htm3bcP78edy+fRtKpRIAIAgC7ty5ozP/4MGD2jkvvvgijIwqPWWiKkOlUUOhUsDC5HGRz8LEHB/3mom/ru/BhLYjJWNUe90MTsRn6wOhUmskcXtrU3w2vRtcHC0NlBlRyXKjgpB155wkJre0g53fSwbKiIiIiIiIqPaotMqrRqPBypUr8dtvv0Glyl8tJD7ZQLMIZ86cwd9//w0AsLKyQv/+/fWaJ1FVpVQrscL/d6TmpOGT3u/CwvhxUdja1ArTOo03YHZUldwLTcaS3y5AoVRL4jaWJlg6rSvcna0MlBlRyURRRNLRDTpx+97jIOMHYURERERERHpXKW0o1Go1pk+fjtWrV0OpVEIUxTIVigHg1Vdf1c49cOCAPtMkqrLyVAp89d9qXIq6jofJofjy7M/IUykMnRZVQQ8jUvHpWn/kKqSFYktzYyyd2hX1XdiihKqurLvnkRd1XxIzqVMf1q17GyYhIiIiIiKiWqZSisVffPEFTp8+rT3v0qULvvjiC+zduxcdO3Ys8drWrVvDzc0NoijC399f36kSVTlKtRJfnF2F67GP27TcTXiIr/9bDYVaacDMqKp5FJ2GhWvOIztXJYmbmxphyRQ/NHK3NVBmRKUTVUokn9ykE3fo/zoEmdwAGREREREREdU+ei8Wh4SEYPPmzQDy+xIvWbIEGzZswLBhw9CsWTOYmpqWeo9u3boBANLT0xEcHKzXfImqGiOZEZo4NtSJW5taQiYYfI9KqiIi4jKw4NfzyMiWfoBgaiLHp292gbenvYEyIyqbtEuHoEqNl8TMG7eHRcM2BsqIiIiIiIio9tF7pWnPnj1Qq9UQBAGTJ0/G6NGjy30PHx8f7XFISEhFpkdU5QmCgFdavYQXmvTRxvo07IqZnd+AEVfbEYDoxEx8svoc0jKlrUlMjGRYMKkzWjRyNFBmRGWjzk5H6n87pUFBBsd+EwyTEBERERERUS2l9w3uClpHyOVyTJky5anu4ebmpj2Oi4urkLyIqjJRFCEIgvZcEARMbDcKeWoFTGTGmNh+FFcVEwAgPjkbn6w+j+T0PEncSC7D/Dc6oU0TZwNlRlR2KWd3QJOXLYnZtHsOJs71DJQRERERERFR7aT3YnF0dDQEQYC3tzesra2f6h5WVlba4+zs7BJmElV/idnJWHFuLd7yHYcG9o8LJYIgYIrvOAgQJIVkqr2S0nLw8epzSEjJkcTlMgEfTvBFh2Z1DZQZUdkpkqKQfuWIJCaYmMO+5xgDZURERERERFR76X1pYnp6OgDA1vbpN1ZSKh/34DQy0nt9m8hg4jIT8OmJ7/AgORRLT/+IyLQYybhMkLFQTACAlIxcfPzLecQmST9AkwnA7Fc7oEtLVwNlRlQ+ycf/BDRqScy+2wjILbkhIxERERFVL+PHj0fTpk3RtGlTrFy50tDpED0VvReLC4rEGRkZT32Pwq0n7O25SRPVTFHpsfj0xHdIyEoCAGTkZWLpqR8QmxFfypVU26Rl5mHB6vOISsiUxAUBmDW2HXq0dTdQZkTlkxN2C9kPLkpiRrbOsOn0ooEyIiIiIiIiqt30XiyuU6cORFFEcHAwVCrVU93j0qVL2mNPT8+KSo2oSknKTkF6nrT4l5KbhrsJDw2UEVVFmdkKLFzjj7BY3Q/g3n65Dfr68mskVQ+iqEHSsT904g59XoXMyMQAGREREREREZHei8UdO3YEAOTm5uLff/8t9/UZGRk4dOgQAMDMzAxt2rSp0PyIqorWLj54v+ubkP//xnUCBEzr+Br6NOpq4MyoqsjOVWLR2gsIiUrTGZsyrBUG+jWo/KSInlLmzTNQxIZIYqZuTWDZvLuBMiIiIiIiIiK9F4uff/557fE333xT7nYUixYtQnZ2NgRBwHPPPceexVSj+bq3wcwub8BIZoSZXSaib6Nuhk6JqojcPBWW/B6A++EpOmMTBzfHkB6NDJAV0dMT1SrITC0kMcf+E9mXnYiIiIiIyID0Xiz29fVFly5dIIoiYmJiMH78eISGhpZ6XXp6OmbPnq1dVSyTyTB16lQ9Z0tUeW7F3cPx4P904l09fbFy8BJ0r9/JAFlRVZSnVOOz9QG4HZKkMzZuQDO83LeJAbIiejY27fqj3turYOP7AiDIYNnMD2b1mhk6LSIiIiIiolqtUpbpLlmyBKNHj0ZaWhru37+PIUOGoE+fPujatSuSk5O1844fP47ExERcu3YNR48eRVZWFkRRhCAIePfdd9G4cePKSJdI767G3MI359ZApVbBSGaEXg27SMYdLbiRI+VTqjT44o+LuP4gUWdsZN8mGPuctwGyIqoYcgsbOA14Eza+L0AwMjZ0OkREREREleLmzZs4d+4crly5gocPHyI5ORkqlQq2trZo2LAhunTpgrFjx8LJyanUezVt2lR7fP/+fQDA1atXsXXrVly5cgXx8fEwNzeHl5cXBg8ejJEjR8LYuPTvvR8+fIizZ8/i0qVLePjwIeLj46FUKmFtbY169eqhU6dOGDNmDOrVq1fqvfr27YuoqCgA+bU/Dw8PREdHY8uWLTh16hSioqIgiiLc3d3Rs2dPTJ48GY6OjqXel/RDEEVRrIwXunr1Kt5++22kpOQ/Ql34MdOCFIqKAcDYsWOxaNGiykizRiv8P6e7uztOnDhh4Ixqp8DIa1jh/xvUGjWA/L/3//ObDL96HQycGVU1KrUGX/15Cf43Y3TGhvZohDdfaslH9omIiIiIiKqI8ePHIzAwEAAwY8YMzJw5U2fOyy+/jFu3bpV6LzMzM3z66acYMWJEifOeLBavWLECv/76K4or9zVr1gy//PIL3Nzcir3nrFmz8M8//5Sao5GREWbMmIHp06eXOO/JYvHt27cxb948ZGVlFTnf1tYWa9eu5b5lBlJpDYDbtWuHvXv34uOPP8Z///0nKRA/WewoGLO1tcX777+PMWPGVFaaRHql0qix+cZebaEYyP/7/tulLWjj0hwWxuYGzI6qErVGxIrNV4osFA/0a8BCMRERERERUTUUGxsLADA1NYWXlxfq168Pa2trqNVqxMXF4dq1a8jIyEBubi7mzZsHY2NjDBkypEz33rBhA1avXg0A8PLyQosWLQAAt27dQnBwMADg3r17mDhxIrZt2wZ7+6Kfao6Jyf851NjYGI0bN0b9+vVhY2MDQRCQkJCAGzduICkpCSqVCt9//z0EQcC0adPKlOP58+exaNEiqNVqeHh4oG3btjA3N0doaCguX74MjUaDtLQ0vP322zh06BBsbW3LdF+qOJW6W1zdunXx22+/4d69e9i9ezcuXryIBw8eQKVSaedYWFigXbt26NmzJ0aOHAlLS8vKTJFIr4xkcnzcayYWnvgWSdn5q+ytTCwxv9dMFopJS6MR8eO2qzhzLUpnrF/Hepg+ojULxURERERERNXQc889hz59+qBLly4wNTXVGVcoFNi0aRO+/fZbqFQqLF68GH369IGVlVWp9/7mm29gYWGBL7/8Es8//7xk7MiRI/jwww+Rk5ODsLAwfPHFF/jyyy+LvE+XLl0wadIkdO/evcjXVavV2L9/PxYvXozs7GysXLkSgwYNgqenZ6k5Ll26FKampvjss88wePBgydiVK1cwdepUpKenIzExERs3bixydTbpV6W1oShJRkYGsrOzYWNjA3NzFsz0hW0oqo6YjHh8euJbiKKIBb1nwdPO3dApURUhiiJ+2XUDh/1DdcZ6tnXH+692gFzGQjFVP9kh15AXFQTbzkMhMzEzdDpERERERBWuLG0oyuq3337D119/DQBYuHAhXn311SLnFW5DAQCrVq1C//79i5z7zz//YNasWdrzQ4cOPdP+YIcPH8b//vc/AMDkyZPxwQcfFDmvcD1KEAT8/vvv6NatW5Fzt2zZom1F27BhwzK1w6CKVakri4tjbW0Na2vrp74+KCgIaWlpAICOHTtWVFpEFeJi1HW0d20JuUyujbla18HC3v+DIAhwt3ExYHZUlYiiiN/23SqyUOzXyhXvjWvPQjFVS6JGjaSj66FMjET6laNw6DMOVq16QRBkhk6NiIiIqMbJuH4CGTdOPfN9rFv3hnWbvkWOJf67Doq40Gd+Dcfn3oCpS8Mix6L/XPhM9y4p/+pg+PDh2mKxv79/scXiwjp37lxsoRgABg4ciI4dO+LixYsAgF27dhVb4C2LAQMGwMLCAtnZ2fD39y/TNX369Cm2UAwAQ4cOxWeffQaVSoXQ0FBkZmaWaVU1VZwqUSx+Vl999RXOnTsHQRBw584dQ6dDBCC/8LfrziFsv3UA3et3woxOr0Mme1wY8bB1NWB2VNWIooiNh+7i77MhOmO+PnUx97UOMJKzsEbVU8bVY1AmRgIA1JnJSNj/E3KjguD8wlQDZ0ZERERU8yjTEpAbfvuZ72NWv0WxY4q40Ap5DU1e0RucAXjm+5eUf1Vx584d3LlzBzExMcjMzIRSqSxy3t27d8t0v6FDh5Y656WXXtIWiwtWQZckODgYt27dQkREBDIzM6FQKCTjBS0Sg4KCoNFoJHWPogwcOLDEcUtLS3h6eiIkJASiKCIqKkpn9TTpV40oFgModpdHIkMQRRF/3diLv+/9CwD4LywQpnITTPEdx16zVKStR4Ow88QDnXibJk6Y93pHGBvJi7iKqOrT5GUj+cxWnbhN2+JXPBARERER1VSiKGLnzp1Ys2YNwsPDy3RNampqmea1bdu21Dlt2rTRHt+7dw+iKBZZpzh27Bh+/PFH3L9/v0yvrVKpkJGRUeqGdN7e3qXeq/A9MjMzy/T6VHFqTLGYqCo5HXpBWygucDzkP9S1csIwnwEGyoqqql0nHmDzkXs68RaNHPHJG51hYsxCMVVfqef3QJOdLolZteoFU9en741GRERERFQdiaKIjz76CHv37i3XdVlZxa/ALszFpfQ2l66uj59yViqVyMzM1GkN+/333+OXX34pV45Afp6lFYvL0lLC2NhYe6xSqcqdBz0bFouJ9KC7Z0cERF7F5eib2lgDOw/0bVR8Xx6qnf4+G4wNB3Xb5zT1tMfCyZ1hZsov01R9KdPikRawXxITjEzg0HucgTIiIiIiqvmMbZ1h5vnsLRiMbZ2LHTOp2+CZ7w8AMlPLYsee9T2UlL+hbNu2TVIo7t27NwYPHozmzZujbt26MDMzkxRKC9ovlPVpenNz83LPyc7OlhSLz549KykUt2/fHiNGjECrVq3g4uICCwsLmJiYaMcLb16n0WhKfX0+bV31sQpBpAdGciO81/UtfHX2F9yIu4smDg0wr9cMWJkU/w8h1T7/+Idi7d5bOvFG7rZYNMUPFmbGRVxFVH2knNwMUS3tu2bbeQiMbJwMlBERERFRzWfdpq/eN3Zzen6SXu8PAG7jl+j9NSrbunXrtMezZs3C22+/Xezcp2m/kJOTU+rK3ZycHMm5hYVFsTmOGjUKS5cuLbHAW9ZVz1R9cLckogqgUquQmit9zNpEboy53afhxab98UnvWSwUk8SJSxH4edd1nXh9F2ssmeIHK3MWiql6y416gMzbZyUxuaUd7PyGGygjIiIiIiLDiYmJQVhYGID8nrxTpkwpdX55xcbGlimPAsbGxpLislqt1m5+J5PJ8N5775VYKM7MzERaWlq586SqjcViomekUCnw9bnVWHTiO52CsamRCSa0fRnmxmYGyo6qorPXovDD1it48kkid2dLLJ3WFbZWpoZJjKiCiKKI5ON/6MTte42FzLT0R+OIiIiIiGqa+Ph47XHDhg1hZFTyw/4FRdvyuH5dd0HSk27cuKE9btasmaQYnJKSAqUy/8lAR0dHODo6lnivy5cvl7lFBlUfLBYTPYNcZS6Wn12FqzG3EZ0Rh89O/YjMPD6CQcW7cCsG3/x1GZon/j11cbTA59O7wd6aHyxQ9Zd1/wJyI+5KYsbOnnp/HJKIiIiIqKoqXJR9shXEk0RRxPbt28v9Gvv37y91zr59+7THHTt2lIzJZI/LhLm5uaXea+vWreXIjqoLFouJnpJao8ayMz/hdnyQNhaeFoXPT69EjrL0L6pU+1y+F4cvN16C5olKsZOdOT6f1g2OtlxxSdWfqFYi+cQmnbhjvwkQZHIDZEREREREZHgeHh7agvHDhw8RERFR7Nx169bh7t27xY4Xx9/fHydOnCh2/OjRowgMDNSejxw5UjJuZ2enbUuRkZFR4urmf/75p8TXouqLxWKipySXydHZo51O3MPWFaZykyKuoNrs+oMELFsfCJVaujusg40pPp/eFXUcLIq5kqh6Sbv0D1Qp0l5p5o3awqKx7tdLIiIiIqLawsHBAa1btwaQ3xt41qxZ2h7GBZRKJX755Rd8/fXXOhvPlYWxsTFmz56NY8eO6YwdPXoUH3zwgfZ8yJAhaNy4sWSOTCZDz549tefz5s3DrVvSTdkLVj3PnTsXcrkcpqZso1jTlNwghYhKNLhpPyjUSmy5mf8Yx/ONe2JShzGQCfwchh67HZKEpesCoFBJC8W2Vib4bFo3uDmVvFstUXWhzslA6n87pUFBBsd+rxsmISIiIiKiKmTWrFmYPHkyRFHE7du38eKLL6Jdu3aoV68eMjIyEBgYiJSUFADAkiVLMGfOnHLdf86cOVi+fDneeecdNGnSBC1atAAA3Lp1Cw8fPtTOq1evHubPn1/kPaZPn47jx48jLy8PERERGDVqFNq1a4f69esjLy8Ply9f1m6k995772H79u2Iiop6mt8OqqJYLCYqB41GI+nhAwDDmw9EnloBhUqB8W1fLnGnUKp9gsJTsPi3C8hTqCVxawtjLJ3aFfXqWhsoM6KKl3J2BzS5mZKYddt+MKnjaaCMiIiIiIgqT+HN3p6sHQBAt27d8Mknn2DZsmVQq9VQKBQICAhAQECAdo6JiQnmzZuHIUOGlLtYPHHiRCQlJWHNmjV48OABHjx4oDPH29sbq1evhoODQ5H38Pb2xjfffIO5c+ciNzcXGo0Gly9fxuXLlyXvbdq0aZg6depT9Vamqo3FYqIyis9KwpdnVmFSh7FoUcdbMjam5RAAYKGYJEKi0rBwjT9y8lSSuIWZEZZM6YqGbrYGyoyo4imTo5F++R9JTDAxg33PsQbKiIiIiIiocuXl5WmPLS0ti5zz2muvoUOHDtiwYQMCAwORkJAACwsL1K1bF927d8fo0aPRsGHDp85h9uzZ6NWrF7Zt24YrV64gISEB5ubmaNy4MQYPHozRo0fD2Ni4xHs8//zzaNasGdatW4fz588jJiYGJiYmqFu3Ljp16oSRI0eiZcuWT50jVW0sFhOVQXRGHJae/AFJOSn44uzPWNDrXXg7NdKOs0hMTwqLTccnq88jK0cpiZuZyLHoTT941bMzTGJEepJ8ajOgka6gt/MbDiMrO8MkRERERERUyVJTU7XHNjY2xc7z8fHBl19+Wer97t+//1R5+Pr6wtfX96muLeDp6YlFixaVOq8sm9yVdyO8P//8s1zzqWKxsSpRKcJTo/Dpie+QlJPfNyhPlYdlZ35CSHK4gTOjqioqIROfrD6PjGyFJG5iLMfCN7vAp2HRj/sQVWcOfV6DpY+f9lxu4wTbzkMMmBERERERUeXJyclBTEyM9vzJzeOIqguuLCYqhUKthEIlLfrlKHMRnhaFRg7sw0lSsUlZ+OSXc0jNyJPEjeQyfPxGJ7Rq7GSgzIj0y9jeBXVHzEFu5D0kHd0AG98XIDPmzshEREREVDucOXMGSmX+k6Xm5ubw9vYu5Qqiqokri4lK4eXYAPN6vgNTuQmA/JYT73R+Hb0b+pVyJdU2CSk5+Hj1eSSm5UricpmAea93RPumdQyUGVHlMfNoBreJy2HVsoehUyEiIiIiqhQRERH46quvtOf9+vWDubm5ATMienpcWUxUBs2cvTC3+zR8e24Npncajy712hs6JapiktNz8fHqc4hPzpbEZTIBc8f7olMLFwNlRlT58vu4s5c7EREREdVc27dvx61btxAdHY2AgAAoFPlPJJuYmGDmzJkGzo7o6dWIYvHQoUPRtm1bQ6dBNcT12DsITg7DiOYvSOKtXXzw04tLYW1qZaDMqKpKy8zDJ6vPIyYxSxIXBOC9V9qjW2s3A2VGRERERERE+nDq1CkcP35cEjM3N8eKFSvQoEEDwyRFVAFqTLGYqCJcirqO787/BpVGBbkgx0s+z0vGWSimJ2VkK7Dg1/OIiMvQGZs5qi16t/cwQFZE+qfJy4FgbAJBJjd0KkREREREBiEIAmxsbODh4YFu3bph/PjxqFOH7Qepeqv0YrFCocCBAwdw/vx53Lp1CykpKcjIyC+y3LlzR2f+pUuXIIoiAMDX1/f/H20lqnjnwy9h5YX1UIsaAMBfN/bA1MgEA5v0NmxiVGVl5SixcI0/HkWn64xNG94Kz3Wub4CsiCpH0vE/kBtxF479J8KicTtDp0NEREREVKl+/vlnQ6cAALh//76hU6AaplKLxTt37sR3332HlJQUbaygEFxcEXjdunU4efIkAOC3335Dt27d9J8o1ToajQb77x/TFooLbL91AN08fbmimHTk5Kmw+LcLeBiRqjM2eWgLDO7eqPKTIqokivhwZFw7DogaxG79DOaN2sCx3+swqcMPSIiIiIiIiKozWWW90MKFC7FgwQKkpKRAFEXtr9JMmDBBO+/AgQP6TpNqKZlMhnk9Z6Cejas2Zm1qhYW9Z7FQTDpyFSos/T0Ad0OTdcZee6EZhvXyMkBWRJUn6fhGoNCHazkh15H96IYBMyIiIiIiIqKKUCnF4l9//RXbt28HkL+SuH79+pg5cyZWrVqFVq1alXht586d4eTkBFEU8d9//1VGulRL2ZhaYUHvWXC1qgN7M1ss7vM+GtjXM3RaVMUoVWosWx+Im8GJOmOj+3tjTP+mBsiKqPJkB19FTshVSczI3gW2vgMNlBERERERERFVFL23oYiLi8Mvv/yiPZ86dSpmzZoFmSy/Tr1ly5YSrxcEAd26dcO+ffuQmJiI8PBweHp66jVnqh3OhAagi0c7mBiZaGN25rZY0GcWVGoVXKzZlJ6kVGoNvtx4CVeDEnTGhvVqjNcGNjNAVkSVR9So81cVP8Gh72sQ5MYGyIiIiIiIiIgqkt5XFu/YsQO5ubkQBAEjRozAe++9py0Ul1Xz5s21x8HBwRWdItUyoihi8429+ClgA7459yuUaqVk3MnCgYVi0qFWa/DNX5cRcDtWZ2xwt4aYNKQFN+CkGi/j+gkoE8IlMbN6PrBs2sVAGREREREREVFF0nux+Ny5cwDyVwj/73//e6p71Kv3uBVAdHR0RaRFtZQoivjj6g7svXsEAHAt9g6+9/8dKo3awJlRVabWiPh+21Wcu6779ee5Tp6YMqwVC8VU42nycpByeqtO3KHf6/z7T0REREREVEPovVgcEREBQRDQuHFjODs7P9U9bGxstMdZWVkVlRrVQucjLuHQg5OS2MWo69h5m5snUtE0GhE/77yOU5cjdcZ6t/fAO6PaQiZjoYxqvlT/PVBnpUpiVi16wMy9iWESIiIiIiIiogqn92JxamoqAMDJyemp76FWP171Wd4WFkSF+dXrgN4N/SQxL4cGeLFpfwNlRFWZKIpYu/cm/g0I0xnr1toN/xvbDnIWiqkWUKUnIi1gvyQmyI1h32ecgTIiIiIiIiIifdB75dXKygoAkJ2d/dT3SExM1B7b2dk9a0pUi8kEGab5voaunr4AAB9nL3zS+11YmVgaODOqatRqDX7edQMHzj3SGevU3AWzX+0AuZwfXlHtkHxqM0SVQhKz7fwijG3Z352IiIiIiKgmMdL3Czg7OyM1NRXBwcEQRfGp+hpevXpVe+zu7l6R6VENp1ArkZqThjpWj1e2y2QyzOg8EfVsXDG4aT+YGZkaMEOqinLzVPh602UE3snfzG7Z9G7aMSsLY9R3sWHrCao18qIfIvPmaUlMZmEDu64jDJQRERERERER6Yvel8W1a9cOQH6v4bNnz5b7+ry8PBw8eBAAYGxsjPbt21doflRz5ary8OXZn7HwxLeIy0yQjBnJ5Hi5xSAWiklHakYePl59TlsoLszSnIViql1EUUTS8T904g49x0JmamGAjIiIiIiIiEif9F4s7tevn/b422+/hUKhKGG2rhUrViAlJQWCIKB79+4wNWVxj0qXrczBstMrcTPuHpJzUrHk1A9IzE42dFpUxUUnZuKDlWcRFJ4qic//5Ry2Hr0PF0cLFoqpVskOCkRu+B1JzNjJA9bt2OediIiIiIioJtJ7sbhXr15o3rw5ACAoKAjTp0/XbnpXErVaje+++w4bNmzQxqZNm6anLKkm0YgaLD/9E+4lBmtjCVlJWHryB2TkZRowM6rK7oclY+6PZxGTlKUz1qudBxa95QcLM2MDZEZkGKJaieQTf+rEHftNgCCTGyAjIiIiIiIi0je99ywGgEWLFmHChAnIy8vD+fPnMWDAAIwYMQJdu3aVbHx37949JCYm4tq1a9izZw+io6MBAIIg4NVXX0Xr1q0rI12q5mSCDAOa9EZQ0iOIELXxFnW8YWnCx6ZJV8CtGHy16TIUSrXO2Mi+TTD+BR+uKKZaJ/3Kv1Amx0hi5g3bwLwx20ERERERERHVVIIoimLp057dsWPHMHv2bCgUCp2N7gpSeDImCAJEUUTv3r2xatUqyOVcyfQs+vbti6ioKAD5GwWeOHHCwBnp14mQ81h9MX9V3KAmffB6u1FPtcEi1WyHzz/C6t03oHniK6FMAKYMb43B3RoaJjEiA4vd+RWy7wcUighwf/MbmNZtYKiUiIiIiIiISM/03oaiQP/+/bF161Y0atQIQH4xuHCRuKAwXDAGAHK5HFOmTMEvv/zCQjGVSKlW6sT6NuqKSe3HYJjPABaKSYcoith46A5+3qVbKDYxkmHexE4sFFOtVvfluag78kMYO7gCAKzb9GWhmIiIiIiI9GL8+PFo2rQpmjZtioCAgNIvIL2plDYUBXx8fHDgwAEcP34ce/bswaVLl5CWliaZI4oiGjRogJ49e+L111+Hu7t7ZaZI1VBsRjw+P70Sr7YZji71pI9HD2zS2zBJUZWmVGmwcvtVnLwcqTNmbWGChZM7o1kDBwNkRlR1CIIAy6adYOHVDulXjsKymZ+hUyIiIiIiqhaUSiVOnDiB48eP49atW0hISEBWVhZMTU1hY2MDd3d3eHl5oU2bNujatStcXV0NnTKRVqUWi4H8Hz779++P/v3zd1KPjY1FamoqsrOzYWNjAycnJ9jZ2VV2WlRNRabHYOnJH5CSm4Yf/H+HidwY7d1aGTotqsKycpRY/kcgrj9I1Bmr62CBxVP84O5sZYDMiKomQW4M246DDJ0GEREREVG1cPHiRcyfPx/h4eE6Y9nZ2cjOzkZsbCwuX76Mbdu2AQBmzJiBmTNnVnaqREWqkGLxxo0bAeT3we3Xr1+5rnVxcYGLi0tFpEG1TGhKJD47/QPS8zIBAGpRg2/PrcGHPd5GaxcfA2dHVVFSWg4Wrb2A0Jh0nTGvenZYOLkz7K3NDJAZERERERERVXenTp3CjBkzoFQ+bpXp4eEBHx8fODg4QKlUIikpCXfu3EFCQoJ2Tnq67s+oRIZSIcXiZcuWQRAEdO/eXadY/NNPPwEA6tevjyFDhlTEyxEBAEyMjCEI0rbbKlGNlJy0Yq6g2iwsNh2L1l5AYmqOzpivT118ON4XZqaV/rAFERERERER1QApKSn48MMPtYViLy8vLF68GL6+vkXODwkJwZEjR7Bjx47KTJOoVHqvjPz000/aQjKLxVSR3KzrYkGvd7H45ApkKLIgF2SY2eUNdPUs+gsx1V43gxPx+boAZOWqdMYGdKmP6SNaQy6vtP0+iaqk7EfXITe1hKmbl6FTISIiIiKqdnbu3InU1FQAgLOzMzZt2gR7e/ti5zdq1AjTp0/H1KlTER0dXUlZEpWuQorFgiBUxG2Iys3Tzh0f93oXy8/8hCkdX0VH9zaGTomqmLNXo/DdlitQqTU6Y68NbIbR/b35NYxqPY0yD4kHfoYqPRFWLXvCofc4GNk6GzotIiIiIqJq49y5c9rj4cOHl1goLkwmk8HDw0NfaRGVW4UUi83NzZGTk4OMjIyKuB1Rka5E38SN2Lt4vd0oSXGvkYMnVr64FGZGpgbMjqoaURSx93Qw1u2/rTMmlwmYMaot+nfyNEBmRFVP+sWDUKXnb/qYeesMsu5dgPPgt2HVsoeBMyMiIiIiqh7i4+O1x25ubs90r48//hg7d+4EAHz99dcYOnRokfNWrlypbf8KAH/++Sc6depU6j2/+uorvPTSS8W+fmRkJPbu3Yv//vsPkZGRSE1NhaWlJTw8PNC9e3eMHTsWrq6uZX4/p0+fxvbt23Hjxg2kpqbCwcEB3t7eGDFiBAYOHPhUC7gUCgX279+PU6dO4fbt20hOToYgCHB0dESHDh0wZMgQdO/evcR77N69G/PmzQOQX+D/4osvIIoijhw5gt27d+P+/ftISkqCra0tWrVqhZEjR6J///7lzrW6qZBicd26dfHo0SPcv38fWVlZsLS0rIjbEmldiLiCH/x/h1rUQBBkmND2ZckXExaKqTC1RsTvf9/C/rMhOmPmpnJ8NKET2jerY4DMiKoedVYaUs7tlsREtQomLg0NlBERERERUfUjkz1ubRgZGflM9+rYsaO2sBsYGFhssTgwMFDnvLhiceG5nTt3LnKORqPB999/j3Xr1kk26QOA1NRUpKam4tatW1i/fj3ef/99TJw4scT3oVAo8MEHH+Dw4cOSeGxsLGJjY3HmzBn07t0b33zzTYn3edL58+fxySefICoqSmcsOzsbERER2Lt3L3r06IHvvvsONjY2Zbpveno65syZg9OnT0viiYmJOHnyJE6ePImXXnoJy5cvh1wuL1fO1UmFFIvbtm2LR48eITc3F+PHj8f48ePh4uICI6PHt09LS8PFixef+bU6duz4zPeg6uVMaABWBf4BURQBAAeDjsPUyARjWxX9xZJqtzylGt9tvozzN2J0xuytTfHpm13Q2MOu8hMjqqJSzmyDqJBu/GjTYQBMnPgoHBERERFRWdWrVw8PHjwAAOzduxeTJk2Co6PjU92rcDH3yYJwAYVCgevXr0tiAQEBmDFjhs7cuLg4hIeHAwA8PT3h4uKiM0etVmPmzJk4fvy4Nubu7o6WLVvCzs4OGRkZuHLlCmJjY5GXl4fly5cjKysL77zzTrHv47333sOxY8e0505OTujYsSMsLS3x6NEjXL16FadOncJHH31U7D2edODAAXz00UfaYraFhQXatm0LNzc3aDQaBAcH48aNGxBFEWfPnsWrr76Kbdu2wcLCosT7qlQqzJw5ExcuNF3pnQAAahBJREFUXICJiQk6dOgADw8P5OTkICAgAAkJCQCAffv2oVGjRpg2bVqZc65uKqRY/PLLL2PPnj0AgLt372L+/PmScVEUcfPmTUyYMOGZXkcQBNy5c+eZ7kHViyiKOBMaoC0UFzj68AwGevWCnbmtgTKjqig9S4HP1gXgbmiyzphHHSssfssPdRxK/geCqDZRJEQg/epRSUxmagH7HqMNlBERERERUfXUr18/nDhxAkD+StTRo0dj2rRpGDBgQJlXthZwdXWFh4cHIiMjERYWhri4ONStW1cy59q1a8jLywMAODg4IDk5GdevX4dCoYCJiYlkbkBAgPa4uEWYP/74o7ZQ7OrqisWLF6NXr16SORqNBjt27MBnn30GhUKBn376CV26dEGHDh107rdjxw5Jofjtt9/GO++8I1lYeu/ePcyaNQvHjh2DsbFxqb8v9+/fx/z586FUKiGXyzF16lRMnjwZVlZWOvPmzJmDoKAgBAUF4YsvvsCSJUtKvPeRI0egUCjQp08fLFmyBHXqPH4aOS8vDwsXLsTevXsBAL/++ivGjx9fYzsryEqfUjpfX1+8+eabEEVR8qsi6eOeVPUJgoA53abgy+fn49M+7+HTPu9hab85WDXkcxaKSSI2KQsfrDxbZKG4eUMHfDWzBwvFRE9IOr4REKWbP9p1exlyi/J9M0tEREREVNu99NJLaN68ufY8MjISn3zyCfz8/DBixAgsWrQIu3btwqNHj8p0v8LtJAoXewsUXnH8xhtvAMgval67dq3EuUW1qYiIiMDatWsB5K/+3bx5s06hGMhvtTFmzBgsXboUQH7x+Oeff9aZp1ar8eOPP2rPX3/9dcyaNUtSKAaAZs2a4ffff4eFhYVO24uifP7559oC+aeffopZs2bpFIoBoGnTptiwYQOcnfM37d61axdiYnSfPi5MoVCgU6dOWLVqlaRQDACmpqZYunQp3N3dAeS3ujh16lSp+VZXFVIsBoA5c+bgl19+QZ8+feDk5AQjIyOIoqjtK/tkIbm8v6j2MjM2g6etG8yNzGAsM0IDu3rsUUwSDyNTMXflWUQlZOqMdWvthqVTu8LawqSIK4lqr+xH15ETfEUSM7L7v/buOzyqKv/j+Gdm0hshkIQuvYVegihFiqAoCKioYGflpy7guop17V3Bhru6NrCDIAiuCooogiC9dwiBEEoSQnqfmd8fLHcTZpJMIJPJJO/X8+zz3HvPuWe+cQ+Tm++c+Z4ohfUe4aGIAAAAAO/l6+urf//73+revXuJ60VFRdq5c6e++uorPfbYY7riiivUv39/vfLKK2XWNi6e1HVWiuLstYsuuqhETWNnfYuXhXWWLP7ss89ktVolSVOnTi13g77Ro0erVatWkqRVq1YpNbXkoq2VK1caG/6FhoZq6tSppY7VpEkTI9ldlt27dxtJ8+7du+uGG24os3+9evWMCgdFRUUOdZOdefTRR0utRezn56cRI/73t9L27dvLHc9bVUoZirMGDRqkQYMGlbjWvn17mUwm9evXz/iUAqgoi9miqOB6yinKk78PST/8z8Y9J/XyJ+uVV2B1aBs1oKUmjuwks7niO6sCNZndZlXqsk8crkcMullm3mMBAAC82m+H1ui3Q2tKXHt68N9rXZ/LWvTVZS36qipFRUXpyy+/1OLFi/X555+XmlBMSkrSxx9/rM8//1xTpkzRpEmTHPqUlSwuXq84NjZWDRo0ULNmzXTkyBGHusUnT55UfHy8pDOJWWeJ4LMbuplMphIJ0bLExsbq4MGDkqRNmzZp6NChRlvxldCDBw92uvq3uNGjR+uf//xnmX2Kbzp31VVXuRTjxRdfbBxv3LhRd955Z6l9mzVrVmJluDPF251trldTVGqyGHCnEP9ghfjXzHowOD8/rz2sd+Zvlc1W8tsHJpN058hOGj2wlYciA6q3zG2/qSDpcIlr/o3bKbjDJR6KCAAAAJUlKfuUdiXvr/V9Oka1LbOvu5jNZo0ePVqjR49WYmKi1q5dqy1btmjnzp3au3dviXILBQUFmjFjhjIyMvTggw+WGKdx48Zq3LixEhMTHeoWb926VXl5eZL+l1SOjY3VkSNHHOoWl1eC4vTp00Yy2d/fX2+88YZLP2fxRPiJEydKtO3evds47tq1a7ljNWvWTOHh4UpLSyu1T/HyGn/88YdL5TwyMzON4/LKULRp06bc8erU+V851Kwsx2821xRVkiymjASAymS32zXnp7368qe9Dm0+FrMemNBD/bo29kBkQPVnK8jV6RVfOVyvd/ntRukoAAAAABeucePGGjt2rMaOHStJys3N1erVq/XFF1/ojz/+MPp98MEHuvzyyx0Sq7GxsVq4cKGkM6t1z5abKJ4A7tOnj9F3/vz5Rt3is4nh8kpQJCcnG8d5eXn64osvKvxzZmRklDgvXpaiYcOGLo3RsGHDMpPFZ8taSNKvv/5asQBVMnHsTGhoaLljFK+5XFRUVOEYvEWl1SwuzS+//KJffvlFL7/8srtfCkAtUGS1aebXW5wmioMDffXc//UlUQyUIW3NIlmzTpe4FtzxUgU09szKCwAAAKC2CAwM1JAhQ/Txxx/rH//4R4k2Z0na0kpRFK9XfHa18dmk8bl9i5eEcJYsLi+J6oqz9Y7Pys3NNY4DAwNdGqO8fhe6kvfcGM/Fwpn/cfvK4rM7BQLAhcrNL9Irn67Xxj1JDm2RdQP19F8uVrMGYR6IDPAORRmnlP7nopIXLT6KGDTBMwEBAACg0kUF11PHyLK/Ul8b+kQF1yuzr6fdcsst+u2337Rq1SpJ0oYNGxz69O7d2zg+mwAuKCgwSjIUT/46q1uclJRklJg4W9biXEFBQcZx/fr1S6x4Pl/FE7/FE8dlKa9f8TE/+OADDRgw4PyCQ7moWQzAK5zOzNOzH/6pA0fTHdpaNArTU3+5WPXquPaJJVBbpa74SvaighLX6sReLd/waA9FBAAAgMrmysZutblPddK/f38jWZySkuLQ3rRpUzVq1EjHjh0z6hYnJCQ41Cs+69y6xeWVoJCkevX+l1RPT09XYWGhfH19L+jnioiIMI7LqxV81rl1j89Vv35949jZfytUHreXoQCAC3U0KVPT3l7pNFHcrW2kXv5rPxLFQDnyT8Qpa9tvJa6Zg8JU95KxngkIAAAAqOXObkJ37nFxxVcXr1271mm94rPOJoTP1i0uXoKi+DjFRUVFGXWFCwsLtW3btgr+FI46dOhgHLsyXkJCgk6fPl1mn86dOxvHmzZtOv/gUK5KWVn86KOPGscmk0kvvvii07YLde7YAGq+3YdS9dzHfyozp9ChbXCvppoyrpt8LHzuBZTFbrfr1LJPJJXccLZu/3EyBwR7JigAAACgltuzZ49xXNpGcLGxsVq06EwpuXXr1uno0aOSStYrPuvcusXFE8ulrSyWpAEDBmju3LmSpK+++ko9e/as4E9SUp8+ffTxxx9LkpYvX67s7GwFB5f+d8fZn68sAwcO1LvvvitJ+uGHHzRt2jTVqVPnguKEc5WSLF64cGGJQtDFE7rntl0oksVA7bFm+zFN/3yjCopsDm03DG2rCVe0pwg94BK7QmL6qTAlQdbsMyv0fes1Ulj3yz0cFwAAAFAzvP322xo8eLA6derkUv9Dhw5p8eLFxnm/fv2c9iueAF6zZo1OnTolyXnyt3jd4h9//FGHDh2SJDVq1EhNmzYtNZY77rhD8+fPl9Vq1X/+8x8NGTJEV155pUs/R3JysiIjI0tc69evnyIjI5WcnKyMjAy98847evjhh53ef+zYMSOxXJbu3burZ8+e2rhxo7Kzs/Xoo49q5syZslgs5d6bnZ0tk8lUoj4zSldpy/HsdrvsdnuZbRf6PwC1x39WxemlT9Y7JIrNJune67rq5is7kCgGXGQymRXW/XI1veefCr/0Wpl8/BQx5DaZLGxdAAAAAFSGVatW6dprr9Xtt9+uRYsWKTMz02k/q9WqpUuX6pZbbjE2dQsMDNQtt9zitH/Tpk2NVcdHjx417iltpfDZ6wcOHDCulVaC4qwWLVrorrvuknQmh/fAAw/ojTfeUHq6YylI6cwme8uWLdO9996re+65x6Hdx8dHU6dONc4//vhjvfPOOyoqKirRb+/evbrjjjuUnZ3tUp3kJ598UgEBAZKkX375Rbfddpt27dpVav89e/ZoxowZGjRokLEiG+WrlL8Sx4wZc15tAHAum82uT3/YpW9+PeDQ5u9n0UO39FJsxwYeiAzwfmb/QEVcNl5hvUbIEsxXtgAAAIDKtmbNGq1Zs0Zms1mtW7dW8+bNFR4eLpvNpuTkZG3fvl2pqalGf4vFoueee06NGjUqdczevXuXWIUsOdYrPis2Nlbz5893uFae++67TwkJCfr+++9ltVr13nvv6eOPP1aXLl3UpEkT+fv7KzMzUwkJCdq3b5/y8/MlSTExMU7Hu/766/Xrr79q+fLlkqSZM2dqzpw56t27t4KDg3Xo0CFt2rRJNptNQ4cOVUZGRomyGc60b99er732mh588EHl5+dr/fr1GjNmjFq0aKEOHTooNDRUeXl5SklJ0Z49e4xV2KiYSkkWv/TSS+fVBgDFFRZZ9eaczfp9c6JDW50QPz058WK1bVbXA5EBNYtPSLinQwAAAABqlIEDByoxMVEpKSmSJJvNpn379mnfvn2l3tOsWTM9/fTTuvTSS8scOzY2tkSy2Fm94rOcJZFdSRabzWa9/vrriomJ0b/+9S9lZWWpoKBAGzZs0IYNG5ze4+vrq27dujltM5lMevPNNzVt2jQtXbpU0pmSFT/88EOJfv3799fLL7+se++9t9wYJWnYsGH64osv9Pjjj2vv3r2SzpT0OFtyw5k2bdpQ37gC+P4pgGohK7dQL81ep20HUhzaGtYP1jN39VXD+mzEBQAAAACofv7617/qnnvu0fbt27Vu3Tpt375dhw4d0smTJ5WdnS2LxaLQ0FA1btxY7du315AhQ3TppZfKx6f81Ny5yd6ykr/F6xYXP3fVxIkTdf311+vbb7/V6tWrtW/fPp0+fVoFBQUKCQlRo0aN1LZtW/Xp00eXXXaZIiIiSh3L399fb7/9tn799VfNmzdP27ZtU1pamiIiItSmTRuNGTNGI0aMkNlcsSq5nTt31qJFi/Tbb79p+fLl2rx5s5KTk5WZmSl/f3/Vr19fLVu2VPfu3TVgwAB17NixQuPXdiY7xYBrjcGDBysx8cyKzcaNGxtfBQA8Lfl0rp75cI0On3Cs6dSuWV09MbGP6oT4eyAywHvZ7XbqegMAAAAAKoSVxQA8Kv54hp7+YI1Opec5tPWJaaAHb+6pAD/eqoCKSv5upixBYQq/9DpZAkM8HQ4AAAAAwAuQgQHgMVv3J+vF2euUk1fk0HblJc31f6M7y2Kp2NdRAEh5R/cqa/sKSVLmtl9Vt9/1Cus5XCZL+TsMAwAAAABqr0pJFj/66KOVMUy5TCaTXnzxxSp5LQDu9dumo3prziYVWR0r4dw6ooOuG9yGr9AD58Fut+vUstnGuS03S6d+niVLUB2FdOrvucAAAAAAANVepSSLFy5cWGVJHZLFgHez2+365tcD+uT7XQ5tPhaTpt7QXYN6NvVAZEDNkL17tfITS+647Bd1kYI7XuKhiAAAAAAA3qLSylBUxT55lZWQnjlzpt55550K3fPFF1+oV69e5fZLSUnRggUL9PPPPysxMVGZmZmKjIxUhw4dNHLkSA0bNqzCuzwCNYXVZtf7C7fph9XxDm1BAT567LZYdW0bWfWBATWErahAqb9+7nA9YuhtMpktHogIAAAAAOBNKiVZPGbMmMoYxustW7ZMjz/+uNLS0kpcT0xMVGJiopYtW6bY2FhNnz5d0dHRngkS8JC8giJN/3yj1u484dAWERagp++6WC0a1fFAZEDNkbH+BxWlJZW4Ftiqh4JadPVQRAAAAAAAb1IpyeKXXnqpMobxiM6dO6tLly7l9isvubtixQpNnTpVVqtVkhQUFKS+ffsqPDxccXFx2rx5syRp3bp1mjhxoubMmaOQEHanR+2QnpWv5z5eq72HTzu0NWsQqqf/0leRdQM9EBlQc1hzMpT2xzclL5rMqjfkVs8EBAAAAADwOpVWhsJbDRw4UFOmTLmgMVJTU/X3v//dSBT3799fM2bMUJ06/1sluWHDBk2ePFmnT5/W/v379dxzz+mVV165oNcFvMHxlGw9/cEaHUvJdmjr3Kq+HrsjViGBvh6IDKhZTq/8Wrb8nBLXwrpfLr9IaoADAAAAAFxD8dxK8P777ysrK0uS1Lx5c/3zn/8skSiWpF69eun11183zhcvXqz9+/dXaZxAVdt35LQemrnSaaJ4QLfGembSxSSKgUpQkHJUGRuXlrhm8gtU3QE3eCgiAAAAAIA3Ill8gQoLCzV//nzj/L777pO/v7/Tvpdccon69esnSbLZbJozZ06VxAh4wvpdJ/TYu38oLSvfoW3sZa31wISe8vVhwy2gMqQu/0yy20pcq3vpWFmCqQMOAAAAAHAdyeILtHbtWmVmZkqSQkJCNHTo0DL7F98McNmyZW6NDfCUpX/G6/lZ65RfYC1x3WSSJo3urDtGxshsNnkoOqBmyY3frpz9G0pc86kTqbDYqz0UEQAAAADAW9X6msUXau3atcZxt27d5OfnV2b/2NhY4/jEiROKj49X8+bN3RUeUKXsdru+WLpHc3/e59Dm52PWAxN66pIujTwQGVAz2e02nVr2icP1iEETZPYp+/cRAAAAAADnqvXJ4pSUFH377beKj49Xbm6uwsLC1KRJE/Xu3VuNGpWf1Dp48KBxHBMTU27/qKgoRUZGKjk52bifZDFqgiKrTTO/3qLlGxIc2kKDfPWPO/uoY4t6HogMqLmytq9QwclDJa75N2qj4I79PBQRAAAAAMCb1fpk8Zw5c0qtHdy3b1/dd9996t69e6n3x8fHG8cNGzZ06TUbNGhgJIsPHTpUTm+g+svJK9TLn6zX5n3JDm1REUF65q6L1SQq1AORATWXrSBPqb9+6XC93tDbZTJR5gUAAAAAUHHULC7DmjVrNGHCBM2ePbvUPmlpacZx/fr1XRq3eL/09PTzDQ+oFlIz8vToP/9wmihu1aSOpk/pT6IYcIP0tYtlzUotcS24fV8FNG3voYgAAAAAAN6u1q4sbt26ta644grFxsaqdevWCgsLU15eng4dOqRly5bpiy++UFZWlqxWq1566SXVrVtX11xzjcM4OTk5xrG/v79Lrx0QEOD0fsDbJJzM1NMfrFHS6VyHth7to/TIrb0V6F9r32YAt7EXFSpj49KSF80+ihh8s2cCAgAAAADUCLUyi3PLLbdoypQpDtd9fX3VpUsXdenSRddff73+8pe/GGUmnn/+eQ0aNEhhYWEl7snPzy9xvyuKb4KXl5d3Hj8B4Hk7407p+Y/XKiu30KHt8thmuve6rvKx8OUFwB1MPr5q/JfpOr1ijjK3LpfsNtXpfaV86zbwdGgAAAAAAC9WKzM54eHh5fZp2rSp3nvvPSMBnJGRoa+//tqhX/HVxIWFjkkzZwoKCozj4quMAW/xx9ZjeuLfq50miscPa6cp47qRKAbczCekriKvukdN/jJDwR36KvzS6zwdEgAAAADAy5HNKUOLFi101VVXGecrV6506BMUFGQcF19lXJbiq4mL3w94g0W/H9Qrn61XYZGtxHWz2aSp47rppuHt2VwLqEJ+Uc0UPfZBWQJDPB0KAAAAAMDLkSwuR9++fY3jgwcPOrTXqVPHOE5JSXFpzFOnTjm9H6jObDa7Ply0Qx8u2iG7vWRbgJ9FT9zZR5f3ucgzwQEAAAAAAOCCkSwuR/369Y3jtLQ0h/YWLVoYx8ePH3dpzOL9it8PVFcFhVa99vkGLfrd8QOT8FB/vXRvP/XqEO2ByAAAAAAAAFBZSBaXo7ySEa1atTKOd+3aVe54ycnJSk5Odno/UB1l5RToyffXaNXWYw5tjSND9NqU/mrdNLzqAwNqmfwTh2QrKii/IwAAAAAA54lkcTmKJ4AjIyMd2vv06WMcb9mypdxN7tavX28cN2jQQM2bN7/wIAE3SUrN0UPvrNTOuFMObR2aR+jVKf3VoF6wByIDahdbfo6Of/Wsjr43VVk7V8p+bi0YAAAAAAAqAcniMhQVFem7774zznv16uXQJzY2ViEhZzYVyszM1LJly8occ+HChcbxkCFDKilSoPLFJaZr2szflXAyy6Gtb+eGeu7uSxQW7OeByIDaJ231QtlyMlSUnqykb9/UsdmPqiD5iKfDAgAAAADUMLUuWZydne1y3xkzZujIkf/9MT5y5EiHPn5+frr++uuN87ffflsFBc6/Jvznn39q5cqVkiSz2awbb7zR5ViAqrR5b5Ie+edKpWbkO7Rd3a+FHr61t/x9LR6IDKh9CtOTlL72uxLXCpIOy+zvWBoJAAAAAIALUeuSxbNmzdLEiRO1bNmyUpO6J06c0LRp0/Txxx8b14YOHep0ZbEkTZo0yVhdHBcXp8mTJysjI6NEn40bN+r+++83vjo8atQotW3btjJ+JKBSLd9wRM98+Kdy860ObXdcHaNJozvLYjZ5IDKgdjr965eyW0uWOKrTZ5R8wuqXcgcAAAAAAOfHx9MBVDW73a5Vq1Zp1apVCggIULt27dS0aVMFBwcrPz9f8fHx2rFjh4qKiox72rdvr1deeaXUMSMiIjRjxgzdc889stlsWrFihQYOHKhLLrlEderUUVxcnDZv3mz0b926tZ544gm3/pxARdntdn39yz59/uMehzYfi1n339RdA7o38UBkQO2Vl7hfWTtXlrhmCQ5XeN/RngkIAAAAAFCj1bpkcXF5eXnaunWrtm7d6rTdYrHo2muv1aOPPqqgoLK/7nvZZZfprbfe0hNPPKG0tDTl5OQ4rV/cu3dvzZgxw1iJDFQHVqtN7y3criVr4h3aggN89PgdfdS5NasYgapkt9t1atlsh+t1B94os39g1QcEAAAAAKjxal2yeOLEierVq5c2bdqkrVu36vjx4zp9+rTS0tLk4+OjsLAwtW7dWj169NCYMWPUuHFjl8ceNmyYevTooW+++UY///yzEhMTlZWVpcjISLVr106jRo3S8OHDZTbXuuofqMby8ov06ucbtH7XSYe2+nUC9PRdfXVRwzAPRAbUXkVZaUpf953yj5Zc6e8b2UyhXQd7KCoAAAAAQE1nsp8toosab/DgwUpMTJQkNW7cWMuXL/dwRPC0tMx8Pffxn9p3JM2hrXnDMD1918WqV4cVjEBVsNvtykvYpYyNS5W9Z61kO1MOqeHNzxh9/KIukiUw1FMhAgAAAABquFq3shjAGceSs/T0B3/q+Klsh7auberr0dtiFRzo64HIgNrFlp+jzO0rlLFpqQqTE0rtZw4IJVEMAAAAAHArksVALbT3cKqe/WitMrILHNou69FEU2/oLl8fyqUA7mTLz9GpXz5T1o7fZS/MK7Xf8c+fkskvUI3vLH2jVQAAAAAAKgPJYqCWWbvjuF79fKMKCq0ObdcNbqNbR3SQyWTyQGRA7WLy9Vdu3JYyE8Um/yCFdr5MdfqMlG94VBVGBwAAAACojUgWA7XID6sP6d8Ltsl2TqVys0maNKaLrrq0hWcCA2ohk9misB7DlPrr5w5tftEtFNbzCoXE9JPZL8AD0QEAAAAAaiOSxUAtYLfb9dmPuzXvl/0ObX6+Fk27uacu7tTQA5EBNZfdZlXOgU0qPJWo8L6jnfYJ7TpYqb/PkaxFMll8FRxzqcJ6DJd/ozas8AcAAAAAVDmSxUANV1hk09tfb9ZvG486tIUF++mJiX3U/qIID0QG1ExFWaeVueUXZW7+WUUZKZLZRyGdL5NPSLhDX0twHYX3GSlzYJhCuwySJYgN7AAAAAAAnkOyGKjBsnIL9fIn67R1f4pDW8N6wXr6rovVKDLEA5EBNYvdblfekV3K2LRU2Xv+lGzFaoLbipS5dbnqXjrW6b0Rg26uoigBAAAAACgbyWKghjp0LF0vzl6nE6dy9OI9l5ZoCwzwUfMGYfLxMXsoOqBmsOVlK3P7CmVsWqrCFMfV+2dlbv5J4X2vkclsqcLoAAAAAACoGJLFQA20fMMR/XPeVhUU2RzaQoP91Cw6VGYz9VCB85V/4pAyNi5R1s5VshfmldvfJzxa1pxMp6UoAAAAAACoLkgWAzVIYZFVHyzaoR9Xx5e4/ti7f0iShl98ke4Z24VEMXAebEUFyt69Whkblyo/cV+5/c3+QQrpcpnCegyXX/0mVRAhAAAAAAAXhmQxUEOkpOXq5U/Wa++R0w5tZrNJd1zdUdcMaCWTiUQxUBGFp08oY9NSZW79VbbczHL7+0W3UFjPKxQS009mv4AqiBAAAAAAgMpBshioAbbuT9Zrn29QelaBQ1vdUH89dEsvdWpV3wORAd7NbrPq2CePy5qdVmY/k4+fgjteorAew+XfqA0fygAAAAAAvBLJYsCL2e12ffPrAX32wy7Z7I7tHVtE6OFbeysijNWNwPkwmS0K7TpYaasXOG33qdtAYT2GK7TLIFmCQqs4OgAAAAAAKhfJYsBLZecW6q25m7Vm+3Gn7aMGtNQdV8fIx2Ku4sgA72K321V0+oR8Ixo6bQ/tfrnSVi+U9N9PZExmBbXppbCeVyiwRWeZTPwbAwAAAADUDCSLAS90+HiGXpy9TsdSsh3a/P0smjqumwZ0Z0MtoCy2vGxlbl+hjE1LVZSRooumfiCzf5BDP9/wKAW17qH84wcV2v1yhXW/XD5h9TwQMQAAAAAA7kWyGPAyKzYd1cx5W5RfYHVoaxwZrEdvj9VFDcI8EBngHfJPxClj41Jl7Vwpe2G+cT1z+++q0+sKp/fUv+oeWQJDZbLwaxMAAAAAUHPxVy/gJQqLbJr1n536bmWc0/a+nRvqbzd2V1CAbxVHBlR/tqICZe9arYxNS5WfuM9pn4xNSxXWc7jTzel8Quq6O0QAAAAAADyOZDHgBU6l5+qVTzdod3yqQ5vZJN12VUeNuay10yQXUJsVnj6hjE1Llbn1V9lyM8vum3xEBccPyr9R6yqKDgAAAACA6oVkMVDNbT+Yolc/26C0zHyHtjohfpp2cy91bRPpgciA6slusypn/0ZlbFqq3Lgt5fY3+fgpuOOlCut5BYliAAAAAECtRrIYqKbsdru+XXFQs7/fJZvN7tDe7qK6euTW3qofHuiB6IDqpyjrtDK3/KKMzT/LmpFSbn/fiIYK7TFcoV0ukyUwtAoiBAAAAACgeiNZDFRDOXmFenvuFv2x7ZjT9qsubaGJozrJ18dcxZEB1VPy9+8qc9uvks1x48cSTGYFte2tsJ7DFdi8s0wm/g0BAAAAAHAWyWKgmkk4makXZ6/T0aQshzY/X4v+el1XDe7V1AORAdWXyWwpM1FsCamr0O6XK6zbUPmE1avCyAAAAAAA8B4ki4Fq5I+tx/TW3E3KzXdMejWsF6xHb++tFo3qeCAyoHoL6zlcGZuWOlwPbN5ZoT2HK7hNb5ks/MoDAAAAAKAs/OUMVANWq02zv9+lb1ccdNoe27GB7h/fQyGBvlUcGeB5tqICZe9araxdf6jBdQ/J5OP478Av6iIFNO2gvITdMgcEK6TLIIX1GCa/eo09EDEAAAAAAN6JZDHgYacz8vTq5xu04+AphzaTSbr5ig66bnAbmc0mD0QHeE7h6RPK2LRUmVt/lS03U5KUvedPhXTq77R/eL/rVJRxSiEx/WT29a/KUAEAAAAAqBFIFgMetOvQKb3y6XqlZuQ7tIUG+enBm3uqR7soD0QGeIbdZlXO/o3K2LRUuXFbHNrTNy4pNVkc1LKbe4MDAAAAAKCGI1kMeIDdbtd3q+L08eKdstrsDu2tm4br0Vt7KyoiyAPRAVWvKOu0Mrf8ooxNP8ma6bjK/qz8o3tUkHRYflEXVWF0AAAAAADUDiSLgSqWl1+kmfO26PfNiU7bh198kSaN7iw/X0sVRwZULbvdrrwjO5WxcYmy966TbI4bO5ZgMiuobe8z9VkAAAAAAEClI1kMVKHE5Cy9NHudDp/IdGjz9THr3mu7aGgsKyZRs9nyspW5fYUyNi1VYcrRcvtbQiIU2n2owroNlU9YvSqIEAAAAACA2olkMVBF1mw/pjfnbFZOXpFDW1REkB69rbdaNwmv+sCAKpJ/Ik4ZG5cqa+dK2Qsd63SfK7B5Z4X2HK7gNr1lsvDrCgAAAAAAd+Ovb8DNrFabPvtxt7759YDT9p7to/TAhJ4KDfKr4siAqpX+52Jl7VxZZh9zQLBCugxSWI9h8qvXuIoiAwAAAAAAEsliwK3SMvP12ucbtO1AikObySTddHk73XB5O5nN1GBFzRfWc3ipyWL/hq0U2mO4QmL6yezrX8WRAQAAAAAAiWQx4DZ7D6fq5U/WKyU9z6EtJNBXD0zoqV4doj0QGeA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      "text/plain": [
       "<Figure size 740.2x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 405,
       "width": 709
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_theme(context='talk', style='white', font='sans-serif', font_scale=1)\n",
    "\n",
    "sns.relplot(data=twenthies_century,\n",
    "            x='year',\n",
    "            y='life_expectancy',\n",
    "            kind='line',\n",
    "            hue='country', # differ countries by color\n",
    "            style='country', # and line style\n",
    "            marker=True,\n",
    "            height=6,\n",
    "            aspect=1.4\n",
    "            )\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Confidence Interval \n",
    "- solid line is the mean of the combined life expectancy since we did not seperated by country\n",
    "- the gray area is the 95% confidence interval, 95% of the observations are in this area"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 604.8x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 405,
       "width": 579
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_theme(context='talk', style='white', font='sans-serif', font_scale=1)\n",
    "\n",
    "g1 = sns.relplot(\n",
    "    data=twenthies_century,\n",
    "    x='year',\n",
    "    y='life_expectancy',\n",
    "    kind='line',\n",
    "    # ci='sd', # standard deviation can be choosen instead of ci\n",
    "    height=6,\n",
    "    aspect=1.4)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Subgraphs\n",
    "- relplot is a graph-level function, it generates a FacetGrid a Multi-plot grid for plotting conditional relationships.\n",
    "- add the parameter, **col**, to indicate that you want to create subgraphs in columns\n",
    "- variables passed to col should be **discrete** in order to work\n",
    "- **col_wrap**: tells seaborn how many columns we want in a row.\n",
    "- **col_order**: specify the order of the categories in the column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7fa7811617f0>"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1144.52x360 with 3 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 343,
       "width": 1132
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.relplot(\n",
    "        data=emissions,\n",
    "        kind='scatter',\n",
    "        x=\"happiness_score\",\n",
    "        y=\"emissions_pc\",\n",
    "        size='HALE',\n",
    "        palette='crest',\n",
    "        alpha=0.7,\n",
    "        col='Continent',\n",
    "        col_order=['Europe', 'Americas', 'South-East Asia'],\n",
    "        col_wrap=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "gapminder = pd.read_csv('data/gapminder.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>country</th>\n",
       "      <th>year</th>\n",
       "      <th>region</th>\n",
       "      <th>population</th>\n",
       "      <th>life_expectancy</th>\n",
       "      <th>age5_surviving</th>\n",
       "      <th>babies_per_woman</th>\n",
       "      <th>gdp_per_capita</th>\n",
       "      <th>gdp_per_day</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>1800</td>\n",
       "      <td>Asia</td>\n",
       "      <td>3280000.0</td>\n",
       "      <td>28.21</td>\n",
       "      <td>53.142</td>\n",
       "      <td>7.00</td>\n",
       "      <td>603.0</td>\n",
       "      <td>1.650924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>1810</td>\n",
       "      <td>Asia</td>\n",
       "      <td>3280000.0</td>\n",
       "      <td>28.11</td>\n",
       "      <td>53.002</td>\n",
       "      <td>7.00</td>\n",
       "      <td>604.0</td>\n",
       "      <td>1.653662</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>1820</td>\n",
       "      <td>Asia</td>\n",
       "      <td>3323519.0</td>\n",
       "      <td>28.01</td>\n",
       "      <td>52.862</td>\n",
       "      <td>7.00</td>\n",
       "      <td>604.0</td>\n",
       "      <td>1.653662</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>1830</td>\n",
       "      <td>Asia</td>\n",
       "      <td>3448982.0</td>\n",
       "      <td>27.90</td>\n",
       "      <td>52.719</td>\n",
       "      <td>7.00</td>\n",
       "      <td>625.0</td>\n",
       "      <td>1.711157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>1840</td>\n",
       "      <td>Asia</td>\n",
       "      <td>3625022.0</td>\n",
       "      <td>27.80</td>\n",
       "      <td>52.576</td>\n",
       "      <td>7.00</td>\n",
       "      <td>647.0</td>\n",
       "      <td>1.771389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14735</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>2011</td>\n",
       "      <td>Africa</td>\n",
       "      <td>14255592.0</td>\n",
       "      <td>51.60</td>\n",
       "      <td>90.800</td>\n",
       "      <td>3.64</td>\n",
       "      <td>1626.0</td>\n",
       "      <td>4.451745</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14736</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>2012</td>\n",
       "      <td>Africa</td>\n",
       "      <td>14565482.0</td>\n",
       "      <td>54.20</td>\n",
       "      <td>91.330</td>\n",
       "      <td>3.56</td>\n",
       "      <td>1750.0</td>\n",
       "      <td>4.791239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14737</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>2013</td>\n",
       "      <td>Africa</td>\n",
       "      <td>14898092.0</td>\n",
       "      <td>55.70</td>\n",
       "      <td>91.670</td>\n",
       "      <td>3.49</td>\n",
       "      <td>1773.0</td>\n",
       "      <td>4.854209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14738</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>2014</td>\n",
       "      <td>Africa</td>\n",
       "      <td>15245855.0</td>\n",
       "      <td>57.00</td>\n",
       "      <td>91.900</td>\n",
       "      <td>3.41</td>\n",
       "      <td>1773.0</td>\n",
       "      <td>4.854209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14739</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>2015</td>\n",
       "      <td>Africa</td>\n",
       "      <td>15602751.0</td>\n",
       "      <td>59.30</td>\n",
       "      <td>92.040</td>\n",
       "      <td>3.35</td>\n",
       "      <td>1801.0</td>\n",
       "      <td>4.930869</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>14740 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           country  year  region  population  life_expectancy  age5_surviving  \\\n",
       "0      Afghanistan  1800    Asia   3280000.0            28.21          53.142   \n",
       "1      Afghanistan  1810    Asia   3280000.0            28.11          53.002   \n",
       "2      Afghanistan  1820    Asia   3323519.0            28.01          52.862   \n",
       "3      Afghanistan  1830    Asia   3448982.0            27.90          52.719   \n",
       "4      Afghanistan  1840    Asia   3625022.0            27.80          52.576   \n",
       "...            ...   ...     ...         ...              ...             ...   \n",
       "14735     Zimbabwe  2011  Africa  14255592.0            51.60          90.800   \n",
       "14736     Zimbabwe  2012  Africa  14565482.0            54.20          91.330   \n",
       "14737     Zimbabwe  2013  Africa  14898092.0            55.70          91.670   \n",
       "14738     Zimbabwe  2014  Africa  15245855.0            57.00          91.900   \n",
       "14739     Zimbabwe  2015  Africa  15602751.0            59.30          92.040   \n",
       "\n",
       "       babies_per_woman  gdp_per_capita  gdp_per_day  \n",
       "0                  7.00           603.0     1.650924  \n",
       "1                  7.00           604.0     1.653662  \n",
       "2                  7.00           604.0     1.653662  \n",
       "3                  7.00           625.0     1.711157  \n",
       "4                  7.00           647.0     1.771389  \n",
       "...                 ...             ...          ...  \n",
       "14735              3.64          1626.0     4.451745  \n",
       "14736              3.56          1750.0     4.791239  \n",
       "14737              3.49          1773.0     4.854209  \n",
       "14738              3.41          1773.0     4.854209  \n",
       "14739              3.35          1801.0     4.930869  \n",
       "\n",
       "[14740 rows x 9 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.set_option('display.max_columns', None)\n",
    "gapminder"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['10 k', '20 k', '30 k']"
      ]
     },
     "execution_count": 181,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "handles, labels = ax.get_legend_handles_labels()\n",
    "ax.legend(reversed(handles), reversed(labels), loc='upper left')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "p = sns.color_palette(\"Spectral\", as_cmap=True)  # built-in diverging palette\n",
    "sns.relplot(data=emissions,\n",
    "            kind='scatter',\n",
    "            x=\"happiness_score\",\n",
    "            y=\"emissions_pc\",\n",
    "            style='Continent_name',\n",
    "            hue='Continent_name',\n",
    "            size='HALE',\n",
    "            height=8,\n",
    "            aspect=1.3,\n",
    "            palette=hue_colors)\n",
    "plt.title(\"Happy, healthy and sustainable?\", fontsize=22, pad=20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "x = gapminder[gapminder.year == 1965]['babies_per_woman']\n",
    "y = gapminder[gapminder.year == 1965]['age5_surviving']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'sns' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m/tmp/ipykernel_1140/3888064592.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0msns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrelplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0my\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'teal'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlegend\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkind\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'line'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mheight\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m6\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maspect\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1.5\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m;\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m: name 'sns' is not defined"
     ]
    }
   ],
   "source": [
    "sns.relplot(x=x, y=y, color='teal', size=10, legend=False, kind='line', height=6, aspect=1.5);"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# palette\n",
    "- **palette**: Set the matplotlib color cycle using a seaborn palette\n",
    "- palettes: *deep, muted, bright, pastel, dark, colorblind* or \n",
    "  - name of matplotlib colormap or \n",
    "  - husl’ or ‘hls’ or -  evenly spaced hues in the “HUSL” system: sns.hls_palette(10, s=.4)\n",
    "  - ‘light:<color>’, ‘dark:<color>’, ‘blend:<color>,<color>’,\n",
    "  - uniform colormaps in seaborn: sns.color_palette(\"flare\", as_cmap=True)\n",
    "  - customized cubehelix color palette: sns.color_palette(\"ch:s=.25,rot=-.25\", as_cmap=True)\n",
    "  - Make a diverging palette between two HUSL colors: sns.diverging_palette(240, 10, n=9)\n",
    "  - Make a palette with color names from Crayola crayons: seaborn.crayon_palette(colors)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "https://www.fatalerrors.org/a/master-a-third-of-seaborn-use-relplot-for-statistical-mapping.html"
   ]
  }
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