{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Fast Point in Polygon Testing Method\n",
    "---------------- \n",
    "**Author: Hu Shao <shaohutiger@gmail.com>**\n",
    "\n",
    "## Content\n",
    "* [Introduction](#Introduction)  \n",
    "* [How to Use](#How-to-Use)  \n",
    "* [The process of building quadtree](#The-process-of-building-quadtree)  \n",
    "* [Visualizing the result of \"Point in Polygon\" test](#Visualizing-the-result-of-\"Point-in-Polygon\"-test)\n",
    "* [Test the performance of this quad-tree-structure](#Test-the-performance-of-this-quad-tree-structure)\n",
    "* [Validate the correctness of this quad-tree-structure](#Validate-the-correctness-of-this-quad-tree-structure)\n",
    "* [Algorithm of building quadtree cells for study area](#Algorithm-of-building-quadtree-cells-for-study-area)\n",
    "* [Reference](#Reference)\n",
    "\n",
    "## Introduction\n",
    "Testing whether a point locates inside a polygon is a time consuming work. Especially when the point number is huge and the boundary of study area is complex.  \n",
    "Here we implement a \"Fast Point in Polygon Testing Method\" to help users determine whether a point is inside a specific polygon rapidly.  \n",
    "\n",
    "The Quadtree structure is employed to divide a polygon into plenty of lattices. During the dividing, each lattices is marked as **in**, **out** or **maybe**, which means \"totally lies inside the polygon\", \"totally lies out side the polygon\" and \"intersect with the boundary if the polygon\".   \n",
    "For each point, we firstly allocate it into a lattice. If the lattice is marked as \"in\" or \"out\", we will immediately know the result; if the lattice is marked as \"maybe\", we then need to do some further calculation, which won't be complex.  \n",
    "Once the quadtree structure is constructed, the \"point in polygon testing\" will be very fast.\n",
    "\n",
    "This method is suitable for the situations where point numbers are huge, polygon numbers are small and polygon boundary is complex. E.g., simulation in point pattern analysis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "import finished!\n"
     ]
    }
   ],
   "source": [
    "# Import essential libraries for following calculation\n",
    "import libpysal as ps\n",
    "import numpy as np\n",
    "\n",
    "from libpysal.cg.shapes import Ring, Polygon\n",
    "from libpysal.cg.segmentLocator import BruteSegmentLocator\n",
    "from libpysal.cg.polygonQuadTreeStructure import QuadTreeStructureSingleRing\n",
    "import libpysal.examples as pysal_examples\n",
    "%matplotlib inline\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "import time\n",
    "# import codecs\n",
    "# import shapely\n",
    "# from pysal.cg.shapes import Polygon, Point\n",
    "# from shapely.geometry import Polygon as spPolygon\n",
    "# from shapely.geometry import Point as spPoint\n",
    "# import time\n",
    "import random\n",
    "print(\"import finished!\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## How to Use\n",
    "### Data preparing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def get_ring_from_file(path):\n",
    "    vertices = []\n",
    "    file = open(path, \"r\")\n",
    "    for line in file:\n",
    "        if len(line)<2:\n",
    "            continue\n",
    "        coordinates = line.split(\",\")\n",
    "        x = (float)(coordinates[0])\n",
    "        y = (float)(coordinates[1])\n",
    "        vertices.append((x, y))\n",
    "    file.close()\n",
    "    return vertices\n",
    "\n",
    "# Prepare the polygons for future use.\n",
    "Texas = Polygon(get_ring_from_file(\"data/texas_points.txt\"))\n",
    "Pecos = Polygon(get_ring_from_file(\"data/pecos_points.txt\"))\n",
    "San_Saba = Polygon(get_ring_from_file(\"data/san_saba_points.txt\"))\n",
    "Texas_with_holes = Polygon(Texas.vertices, \n",
    "                           [Pecos.vertices, San_Saba.vertices])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "quad tree build finished\n",
      "(-101.88926984960028, 33.54910494748045, True)\n",
      "(-101.9324657625388, 30.99562838608417, True)\n",
      "(-96.66509999476706, 31.769415333990857, True)\n",
      "(-106.04482267119155, 29.30860980945098, False)\n",
      "(-102.05124458612478, 28.377630545869593, False)\n",
      "(-95.7952998307517, 33.2606998037955, True)\n",
      "(-105.3043106118911, 29.64211319980175, False)\n",
      "(-96.07086614456198, 36.43497839388729, False)\n",
      "(-93.8102383176018, 35.720624066002756, False)\n",
      "(-101.27867134062416, 31.762914510273433, True)\n"
     ]
    }
   ],
   "source": [
    "# construct the quadtree structure by explicitly calling the function \"build_quad_tree_structure\" in polygon\n",
    "Texas.build_quad_tree_structure()\n",
    "print \"quad tree build finished\"\n",
    "# create some random point and test if these points locate in the polygon\n",
    "for i in range(0, 10):\n",
    "    x = random.uniform(Texas.bbox[0], Texas.bbox[2])\n",
    "    y = random.uniform(Texas.bbox[1], Texas.bbox[3])\n",
    "    print(x, y, Texas.contains_point([x, y]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The process of building quadtree"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Quadtree building process - visualize the building result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
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q53xd1YuWdO1Pzu8DiqW6cZokqbKjQu1rX1R14zSFG5oyDuUFAAA9MZQXgK+4riOHVU9R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\n2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2o9MOADNZ71QdH+7IysUrd7RXn+oey43pHFF+YVD0N5AQCoBDasN2pRf6PTYSAEX86I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\nAQAAAACOIjEFAAAAADjq/wGGjmiCmeqkFgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xb5fbf28>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# The region of Texas, to make the steps more clear, here we only use the main region\n",
    "texas_main_vertices = Texas.parts[0]\n",
    "fig, ax = plt.subplots(figsize=(16,11))\n",
    "qts_singlering = QuadTreeStructureSingleRing(Ring(texas_main_vertices))\n",
    "patches = []\n",
    "color_array = []\n",
    "cells_to_draw = [qts_singlering.root_cell]\n",
    "while len(cells_to_draw) > 0:\n",
    "    cell = cells_to_draw.pop()\n",
    "        \n",
    "    if cell.children_l_b is None:\n",
    "        # this is a leaf in the quad tree structure, draw it\n",
    "        verts = [\n",
    "            [cell.min_x, cell.min_y],\n",
    "            [cell.min_x, cell.min_y + cell.length_y],\n",
    "            [cell.min_x + cell.length_x, cell.min_y + cell.length_y],\n",
    "            [cell.min_x + cell.length_x, cell.min_y],\n",
    "            [cell.min_x, cell.min_y]\n",
    "                ]\n",
    "        patches.append(verts)\n",
    "        if cell.status == \"in\":\n",
    "            color_array.append(\"#c8e6c9\")  # in color green\n",
    "        elif cell.status == \"out\":\n",
    "            color_array.append(\"#b0bec5\")  # in color grey\n",
    "        else:  # means \"maybe\"\n",
    "            color_array.append(\"#ffa726\")  # in color orange\n",
    "    else:\n",
    "        cells_to_draw.append(cell.children_l_b)\n",
    "        cells_to_draw.append(cell.children_l_t)\n",
    "        cells_to_draw.append(cell.children_r_b)\n",
    "        cells_to_draw.append(cell.children_r_t)\n",
    "coll = matplotlib.collections.PolyCollection(np.array(patches), facecolors=color_array, edgecolors='#eceff1')\n",
    "ax.add_collection(coll)\n",
    "point_x_list = []\n",
    "point_y_list = []\n",
    "for point in texas_main_vertices:\n",
    "    point_x_list.append(point[0])\n",
    "    point_y_list.append(point[1])    \n",
    "plt.plot(point_x_list, point_y_list)\n",
    "ax.autoscale_view()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualizing the result of \"Point in Polygon\" test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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c+Q888EDw8caNG9m4ceMEuy2EmKpUFVnKOwx/V1cwKAXA50Pr6ZHANMp0LbAP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D33HAxux+tsaiLh7rs9dudvslJGRYFSCQ4HAJJWiyI83GPHj7rpJgzvv4+jt5fgefPQZGbS\n12UmLFo77OPLtzcSGhmEKlvL8Z4usnWRol+A4DWzY4b/nKzW93Cks53M8AjxWSp4nfiUEqacPW3N\n/Gp/MXbZiVapZF1KBhekZpITETh1Wv02G69WldJtMbM+JYM5sQm+DslvTI+KYU97CzDQ3a0wOsa3\nAQmCF+1+o5JFV7nXKdrb2lxJKYBTr8fZ14cyUtSGnYsqOpqoL3wBw+bNSAoFuksvRREcPKLnGjpM\nqDRKgnVnnx+pCA4m4vLLXeuOWj0PX/IfHj5yy7CP3/lyOeEbY7hz62ZkoDAqhgcWrnS7myUI3nS0\nq537dm9z1aB+fcZcNqVn+zgqYTITiakw5bxeVY5dHmitbnY4kCGgklKA3xwo5mBnGwA7mhv47dK1\nAfVnkGWZd+uqqTb0MDM63qOt578/ZxEvV5TSaTaxOjmN6VGxHjt2oGjsN/DY4X10mI2sTk7j1vzR\nNcMQJp7d6eSF8qOU9XSSHxnNrfkzz9ulWd9upGZfK3f8ab3b19UpKUjBwcimgbFRqvh4j975m8yC\ni4oILioa9fOKXzvOlmdLuOmRlUxfM7L3s/LtTfR3W3DYnGdsxe7rMlP6aQMnNoZxsktHaXcnO1sa\nWZOSPur4AoHD6eTVqjLKe7oojIzh87kFKCdBQ8JAtqWpzq0x0ocNtSIxFbxKJKbClBOkdD8B0Cgm\n9upzt8VMm8lIWlg4ISr1+Z8wjKHt2u2yTGl3Z0Alpq9XlfNiRQkA79efwCk7PdakKESl5kuFszxy\nrED1u0N7qOztBuBf1cfJ1kWyMknMnfNnr1aW8uaJCmBgLqFGoeSW/HMnSPveqmbmBekEhbi/jyh1\nOmLvvJP+7duRNBrC1q1D8oO7bMY9ezCXl6NOSPB6TLLTiVOvRxEWNiFbmFffNoOdL5fxxM3vseIL\nhVx572K0oed+fy/f2QSAUW8hPMb9zuzuf1VQdEE6J0J6welwfV2axInaq1VlvFJZCsCBjlYUColr\ncwp8HNXUFh3k/nMZrR1+27kgeIooVhA8xuZ0YnU4zv9AL2joM/Dbg5/xq/27qBg8IT+bL+bPInKw\nRXx6mI6rs/MmIkQADnW08dVP3+OHuz7hm9s+pH2MDZeydaeSUAnIDrD27fs7Wt3WBzrafBTJ5NRq\n7D9tLRp7+bsaQ6/b+sRp6+HseaOSRVdNG/Z76uRkIq+9logrrkCp03kkxvEw7t9Pz6uvYj54EMPm\nzej/+1+vvZZDr6f9d7+j9cEHaf3lL7G1tHjttU7SBKu46ZFVaEJU9LYa+dXGN6jcffbXlWWZ4zub\nCApVY+yxnPG9HS+XsfyGAr48/dQYs9kxcSwL0C74I1HR6z4T/biYke5zV2fnsSg+CY1CSV5EFF8u\nnO3rkIRJTtwxFTzi3bpq/nLsIA5Z5rrcQm6cNn3CXtvisPOz3dvotAxsWzvc2c6TqzYSFTT8lb2c\niEj+uuZCeq0WooO0KCewmcRLFSWYB5P3drORt05U8KUxvNH/dN4Sni07TI/FwgWpmUyPDqztqhnh\nOo4NGdWTHub7E+fJZHliCu8Ntv7XKJQsjA/8IfKT3eyYeHa3Nbutz6W1qofu5j7ylgdG0zZrdfU5\n157U99FH2FsHLn459Xr0//0vMXfc4bXXOyl3cRJLPp+H1Wznqp8t5pmvfciiq6ZxyQ/mo9aeOt2S\nZZk9/65CHaQkJjWc/tMS05r9bThtTnIXJzJNklgQl0i/zUZKWPik3tpaGBnLvvZTFy2nR4n+AGPV\n3N9Hi7GfnIjIcc1qDVKquHf+Mg9GJgjnJhLTAPR+fQ3v1degU2v4yvQ5JIf6dnZdr8XCn44dxDlY\nh/BKZSnLElPIDI+YkNdvN5lcSSlAv91GQ5/hrIkpgEapJC445Kzf957TTyrGdpIRow3mh3MCd2TP\nbfkzcTidVOt7KIqJ48qs4e/6CGPztRlzyY2IosNsYmlCMhkT9LsojN2lmbmoFQrKerrIj4zmwvPU\nce15o5LZmzJRqgJj45M6NfWca0+SbbZzrr3p8p8u5KEN/2LBZTnc/f7VvPyT7fzm4v9w62NrSCuK\npWx7I2/9eg92i4Mv/G41Hzx1iO1/L6V0SwNOp4zT7qSiuJllNxS4tu3GaIOJ0Y6sCVMguyYnH6Uk\nUd47UGN6hfhcGJOdLY08cvAz7LJMdJCWXy9ZQ2JIqK/DEoQREYlpgDnW1cHjR/e71g/t38kTKzf6\nMCIwOeyupPQk4wSeCMQFhxATFOxKTkNVatLC/LPRxy35M3hg705MDjuJwaFT9oNXq1Jx18z5vg5j\n0lJIEhvTsnwdhjBC8uD756b07BE3FknIjWTrfTtxOmQu+u48IhP9+8QzdMkSnCYTlrIy1ImJhF98\nsfdea8UKTEeODDR/UqkIW7vWa68FA/9+NrMDc58Vs8HGyi8U8o8fb+OeD6/my3/ZwJ43Knn8pndd\nd0cv/eF85l2Wg0IhYbM4qN47sOVXpVYgaZXMvTiL5TdOvdpKhSRxdU4+ALtaGrlr2wcoJInbCmYy\nL27q7PqQZXlctcSvVpa6GhZ1Wcy8W1fNbQWiAZ4QGCT5tITC4y8gSbK3X2Mqea+umidLDrjWCuCN\nTVe5alB8QZZlfn2gmF2tA40cCqNieHDRqvN2lPSkxn4DL1eUYnc6uSYnn1w/bgRksFrpMBtJDg0j\nSDnya0NN/X38tfQQequVizOyPdYsSBAE33n7RCUvlB9BIUl8uXAOF6Rljvi5/d1m3n/iELteKWfZ\njQVs/PpsQiLHvm1vMnHo9dgaGlAlJKCK8d6W0F2vHeflH2/DYXO6vpaQG4kuLpibH1lFbMZAmUJ3\nUx81+9uY/bnMMzrwCu46TEa+8ulmV/d8rVLJM2suIlxz9lE8nmZxOGjoMxCt1Z5z95UnGaxWfnVg\nF8e6O8nVRXHP/KVjeu0f7PyE40Pqda/NKeDmvBmeDFUQhiVJErIsjyshEYlpgGno0/OdHR9jHezS\nNzc2gV8sXOHjqMApy+xrb8HmdLIwLhG1H3SAnGy+vvV9GvoNwMAG4IeXriU/Mtq3Qfkhi8PB61Vl\ntBj7WZaYMqmbhXjK0a52Dna0kRam8+joHuHcmvoN3Ln1fdc4EKUk8ezai0Z9Mtrd1Mdbv9lD+wk9\n3//PZWe92yLLMjidftGhd7JwOpw0H++h9lA7tQfbqD3UQUtFN4m5kaTPjiNzThwZs+NIzIs667Zr\nk8FK1e4WKoubqdrTymU/Wci0JUkT/CcZuT6blV/tL+ZYdwc5ukjunreUaA9uNS7r7uRHxVvcvvb4\nigtID5+YXgR6q4WfFH9KQ78BjULJT+YuZkG89/89ni45wP/qTtVer01J57uzFo76OGXdndy/bwd9\nNhtZ4RE8uGjVhCb1wtTlicRUbOUNMKlhOn65eBUfN9ai0wRxVdbEdZQ9F4UksXAC3rinKrvT6UpK\nAWSgvk8vEtNhPHF0P1ua6gDY1lzPzxeuYG5sgo+j8l8HOlr5xZ7tnLzf02bq5/NiRMOE0FutDL1s\n65Bl+mzWUSemUclhfOH/VvPAmtepLG5h2tIz34vN5eV0v/gistlMyJIlRF599TijFwAUSgUphdGk\nFEaz7PqBbag2s52Gkk5qD7VTUdzMh08fpru5n7SiGDJmDySqQaFqKopbqChuoqWih4zZccRnR1B/\ntIPEXP/usv5yxTGODI4sO97bzXPlR/j+7EUeO35GeASJIaG0DHYXzwjTkTSBvTT+V1vt+ry1Oh08\nX350QhLTHqt7E6xei+Usjzy3gqgYnlt7ET0WC7Ha4Alt8CgI4yUS0wCUFxlNnkhIphSVQsHM6DjX\nyYBGoaRQdCwc1tAZrzJQ0tXh9cTUIcu0m4zoNJoxz6b1lV0tjTiHrHe0NIrEdILkRESRHxlN+eBY\njNkxcSSHjq0+XqFUsOFrs3n/yUPDJqbdL700UHMJGHftQltQgHaG2N7nDWqtiqz5CWTNP/W+Y9Jb\nqTvSTu2Bdg68U4O530buokSuvm8JGXPiUQcp+df9xay4uZDwWP9udOSpBOpsglUqfrNkDe/WVaOQ\nJC5Oz5nQ0iAZ+ZxrTytubeKpkgMYbTYkBj63FDCuPgFBShUJIeIUXwg84qdWEALEPfOW8q+acgxW\nKxtSM0kZ4wmsp+mtFur7DKSEhhE5QbU455Kji6TDbHJbe5PZbue+Pdso6+lCq1Tyk7lLAqpRR8Jp\n3RoTg/27ic5kolYoeHDRKna0NKCUJJYlpo5rHMiiq3N5+5G9tFb3kJB96udedjiQzWa3xzrFbNsJ\nFazTkL88hfzlw5cWGDpNFL96nHs+9P872RtSMtnZ0ohDllHAqOqiRyoqSDuhY+eGuig9h63N9TT2\n96FRKPhivvcaBxntNh45uNtVngXw+Zx8FsUnkx8ZzSeNtfyzqhytSsVXps8Ru6SESU8kpoIQIELU\nar6QV+TrMNzU6Hu4d/c2DDYroSo19y9cwTQff3B+e9YCni07QutgjelSL9eYbq6voWzwjpfZ4eDP\nxw7x9OrASUwvz5xGs7GP/e2tpIfp+OqMOb4OaUoJUipZ56FGZmqtipCIIBxWp9vXJaWS0KVL6d+x\nAwBldDTa6b456ReG9/FfjjLvsmwik/z/wtDcuAQeWbqO8p5OsnWRFEyy3TsRQUE8unw9dX0GYrXB\nXm1+1G+zuSWlAEVRceRHRnPC0Mtjh/e6drQ8sHcHz6+7GJXYmitMYiIxFQRhzP5ZXY7BZgUG5se+\nVlXGPT4exh2m1vCtCRxFY3e6JwG209bjJcsym+trOGHoZXZMvMcTbZVCwV1FYnTP6fptNh47speK\nnm4Ko2L45sz5BKv8+yNTlmW6G/uITj2zHi/iyisJKijAaTSiLShAEer/CdBUYeyxsOPFUn787pW+\nDmXEciIiyYnw71rY8QhSqpg2Ad39Y7XBzImJ52BnGwApoWGuRL/F2O9WZqG3WemzWf1iZ5IgeIt/\nf8oKgnAGhyy7mk/k6CK5NX8mQT7qsqmUFOdcTwXrUjPYXF9Di6kfBXDjtEKPHv+VylJeriwF4H91\n1dyQW8gNPtri5m39Nht/LT1EfZ+BhfGJXJc7sr9LhyzzemUZx3u7KIiM4Zqc/HGP0Hqh/AjFgyOw\ntrc0EBsczO0Fs8Z1TG/r6zKjDlKiDRu+A6e20LM/m4JnbHmuhJkbM4hJ84/yDGHiSJLEz+YvY0tT\nPVang9XJaa4LYAWR0URogugdrOktiIwhQiPGQQmTm0hMBSHAvFlznNeqygAo7e5EQuLL02f7JJbr\ncgs40tlOp8Xk05ogX4oK0vLo8vVU9HYTow0mNcyzJ5f72lvd1i9XlmJy2P0+SRqLp0sO8GlzPQDH\ne7uICtKOqAHIa0OS973tLSgkiWty8scVS6vJvQazdbBDqD/rqh/+bqngv8x9Vj59roTv/edSX4cy\nJhaHnTaTkVhtiN/vKBhOaXcnTx7dj9Fu58rsaVySkTvhMaiVymHrdCODtPx26Ro2158gWKniksyc\ns46CEoTJIvDeRQRhiqvW95627vFRJJASGs7TqzfSajQSHxyCNgBPTDwhRK1mdmy8V46dFhbuNiwd\n4K2aCr6QVzShnSonQo2h95zrszn976esp3PcsaxITOVAx6mLAssSU8d9TG/rbDAQnSIS00Cy7W+l\n5K9McWtWFSia+vu4d/dWOswmIjRBPLBoJZnhEb4Oy01jv4HK3h6ydRGkhbnPQXXIMg/u2+kqR/nz\nsUPkR0SftU+CxeHg78ePcsLQy5yYBK7OzvN6opgYEsat+f7VW8KTGvsN1Br05Ogiz2jEJ0xNU/Ms\nUhAC2KyYOLYO3lU6ufalIKVqwgafT0VfLpxNm8noGhUEoFEqx9W91V/Njomnrk/vth6J/MgYtzvL\nnhildEFaJpFBQRzv6aIwKiYgOi13NfYRLbaDBpRDm0/wuW8GZsOx16vKXB3Qe60W/lFxjLvnLfVx\nVKcc6WznF3u3Y3U6UUkK7p2/1O332GS3uZLSk9pMxrMmps+WHebdumoADne2E6JScVFGjvf+ABPM\n6nDwcWMtFoeDtSnp6Ly8bXh/ewsP7tuFXXaiVSq5f+HKSddISxg9kZgKQoDZmJaFhMTRrnaydZFc\nmjnxW4+EiROiVvPgopU8dmQfHzfWolEo+NbMBeOuofRHtxfMJEarpb7PwIK4RJYkJI/oeZ/PKUAh\nSa4k8sqsPI/EszA+iYXxZ84E9Vdd9QZiM8VFokCSvyKFil3NzNzgmc7ME8khu8/3PL0RnK+9U1eF\ndTAmu+zkndoqt8Q0TK1xazwUFaRlenTsWY9X1dvttq4c4W6lPW3N7GxpJCE4lKuz81D7qCfEuciy\nzP37dnC4c+AC6Dt1VTy6bD0hau/N5X7zRCV2eeDfx+xw8E5dlUhMBZGYCkIguiAt0yOz4z5qOMGW\npjqitcHcnj+LiCDRWMEfSZLEd2Yt4I7CWQQplH55YuMJSoWCq7JHXxuqlCSuzSnwQkT+aXN9Dce6\nOpgWEcXFGafqzrqa+olMCkWWZVGLFiDmXZLNU7e+x5X3Lg64f7Mrs/LY196CwWYlRKXyu9/BUJV7\nUjVcknXv/GVsrq/BaLexNiX9nKNhZkTHcnxIcjoj6uxJ7ElHOtt5cN9OTqbwzaY+vjtr4cj+ABOo\n02xyJaUw0BH4g4YTHOpsQylJ3JQ3w+PbtIOVqrOuDVYrr1SWYrBZ2ZiWSVG0b3eGCRNHJKbClGSw\nWnnsyF6qensoionlrqL5Puts6ysHOlp57Mg+17rTbOLBRat8GJFwPmHq4butClPH/2qrePrYQQA+\naarD7HC4Gj2tvnU6/7q/mL1vVrHhq7OYf1kOSvXkqkOebJILoggKVXNifxtZ8xN8Hc6oZOkieGrV\nRur7DCSHhnl13udY3DRtOsd7u6g16EkNDeeWYeaAa5TKEe86uiWviFCVZqDGNDae9annv8t9uLON\nofeVD3W0jTT8CRWm1qBVKjE7BmaqSsCLx0uwDM5YLe/p4s+rN3m0j8Qt+UVU63toMfWTHqbj+iFd\n2B/cv5PS7oFeAR+m46UAACAASURBVDtaGvj9svWiZGiKEImpMCU9W3aY3W3NAHzaVE9CcCg3583w\ncVQTq7rXfRtSVa/vmihNdVaHA7VCEXB3TISJN/SuBsChzjZXYlq4OpV7PryaY580sPnxAxz9uJ7b\nn1jnizCFs3DYnNQdbqextGvgf2VddNYbaDjWGXCJKYBOE8SMaP/caROtDeaPKy7AaLN5ZEuqUqHg\n2tzR3RXO0rk3tcrW+WeTK61KxY/mLOapkoNYnQ5WJaXxdm2l6/s9VgsdZiOpYZ5LDpNDw3h69efo\ns1kJV2tcn392p9OVlMLAbPCynk6RmE4RIjEVpqRWk/voh0AYBeFphdExKMA1wHvGOWprBO+wO538\n9uBn7GptIkITxD3zlooam9PYHA70g0PlJ2PDp9HK0kWws7XRtc7WuW+vkySJGevSCIkM4vX7dk50\neMJ5bH3hGB88dYjCNamkFEYz56JMkguiCY8J9nVo59RpNvHHI/toMvaxOD6Z2wpmBkyduzfrJM9n\nWWIKXyqYxY6WBhKCQ3022m0kFsQn8cxgTb3eamFLU52rOVScNoS4YM93zVVI0hlNllQKBRnhOmoN\nA43wFPhvQi94nkhMpzBZlnm3rpoqfQ9F0XGsTUn3dUgTZnliKke7OoCBLSvLElN8G5APTI+K5Z75\ny/i0qZ4YbTDXjfJKsDB+HzacYFdrEzDQ1fKPR/bxxKqNPo7Kf1T1dvPzvTvotVrICo/ggUUrvd4p\n0t9dk52P2eHgWPdAjenN04bf6REcrqa3xYhJbyVYJ7aATxTZ6aT3jTcwl5Sgio0l8sYbUUVFub6v\n1WnIX5HMF3632odRjt7jR/exf3B80psnKkgJDWNTeraPowoMl2dN4/Ksab4OY1R0miAeWryKN6qP\no5QkrsstmNByp/vmL+fZssMYbFYuTMsmNyLq/E8SJgWRmE5hr1eV82JFCQAfNJzAKcsjqpmYDC7O\nyCFGqx2oMY2O89oMSn8XaF1HJ5t+m81tffrogqnu2bIj9FotwMBM03/XVEzqmX4joVQoRvR3EJ8T\nycyN6fxq0xvc9vg6suZNzfe4iWbcuRNjcTEAVoOB3tdfJ+YrX3F9XxcXjKHD5Kvwxqy5331XUbOx\nz0eRCBMlMzyC7832TaOmuOAQfjx3iU9eW/At0RVhEum32ei2mEf8+KHD4wEOnrae7JYkpHBT3owp\nm5QKvrcyOZWIIXcAL8sMrKvq3mZx2M+5Fs5OoZC4/pcruOrexfzp9vd5/4mDOJ3y+Z84RrLTiexn\n40J8wd7tPlLEcdpaFx+Cvi3wEtOho5sUkhRQFzRt4udSEAKGuGM6SbxXV82fjh3EIcusT8ngWzPn\nn7eRSka4jpLujiFrz7YCnwgfN9byTm0V4WoNX5k+m+RQMVxeCBzxwaE8tnw9hzrbidMGUxQjWuIP\ndXV2Pr89+Bl2WUan1nBRun8Ps7c7nagU/nW9d85FWaTPjuP5b35M+fYmbnlsDRHxIR59jf5du+h9\n800AdJdcQtiKFR49fiAJnjmT/u3bYbC7qXbOHLfv6+KC0bcHXmJ6a34RyaFhNBv7WBCXFBA9CUx2\nOw/t38nhznaSQkL52fzlpIaJcwRB8GeSLHvvCiqAJEmyt19jqrM4HFz/wZtuw64fWLjyvHcCzXY7\nz5Qdpkrfw8zoWG7JK0LpZydV51LW3cmPi7e4WrGnhIbx1KrP+TQmQRA8q7HfQFN/H7kRUX43juKk\n+j49D+zbSYuxn7mx8dw9bylBSv+67uuwO3n30QPs+Ecpt/5hLQUrPFNX7+jpofWhh+Dk548kEf+T\nn6CKmbpNvKz19VjKylDFxhI8d67b9xx2J9/JfZbHqm5HoQycz9tA9I+KY7xSWepaz4mJ5/5FK30Y\nkTCRHLIsGuZNMEmSkGV5XH/p/vXJKYyJw+l0S0phZFvetCoV3yia562wvK6+z+A2H6yxv88v71gI\ngjB2KaHhpPj5ToinSw7SMtjZ+0BHG2/WVI56rIS3KVUKLvnBfHIXJ/L8XZ/w8x3XoQ0df7dSp8l0\nKikFkGWcRiNM4cRUk5aGJi1t2O8pVQp0sSEcfPcE8y4RzYO86fSa/b4Aq+E32m1U9fYQqw0mKTTM\n1+EEDL3VwoP7dlHe00m2LpJ75y8jRuvfXa+FU8QZ/CQQolZz2ZAB0QWR0cyNDbx5aKM1IzrGrUvc\nrJg4kZQK49Jm6mdnSyON/QZfh+IV7SYjv9i7nbu2fcDrVWW+DmfS0NssbmvDaWt/UrAyhWlLk9j6\nfIlHjqdKSECTc2qLtSYrC3Vy8jmeIXzp6fX856HPeOXu7VhNom7aWzakZKIdPEeQgIsyTv2c+vtO\nvm6Lme9s/4h7dm/l69veZ0tjna9DChj/qDhGWU8nMlCl7+GF8qO+DkkYBbGVdxIp6+7E5LBTFBWL\negLbevtSRU8XHzbWEq7WcFV2HiEq380rEwJbRU8X9+7ehslhRyUpuGf+UubHJfo6LI/6SfGnHBtS\nV/6TuUum5KgkT3uvrponSw4AEKxU8eslq8ny47l7zce7efTz/+UXO65DGzb+UTKy3Y7pyBGQZYJn\nzkQ6x9xIZ38/1vp6VNHRqOKnbuM5k97Kyz/dTmNpJ3c8vYGkPDEOwxua+vso7e4gNUxHfmQ0AP+u\nPs5LFSWoFArunDGP1cnD3932pdcqy1xTEwASg0P585pNPowocDx84DO2tzS41nNjE/jFwqlb9z6R\nxFbeKejTpnoa+w3Mj0t0vcmeVBA1+q1T9X163qmtQq1QcnV2HpF+WsN1NtMio5l22t+DIIzFf+uq\nMA1ugbfLTv5Tc3zSJaYNffrT1pPzzvBE25SeTUZ4BI39BoqiY0kM8e9td0l5UeSvSGHr88fYeNec\n8z/hPCSVipDTaimHY+/qouPxx3Hq9aBQEHXDDWfUYE4VwToNtz2+lg+eOMR/HvqMO18QSYc3JIeG\nkTxkG+wJQy/PlR8BwOp08tjhvcyPSyBM7V+zflUK6bS12A02UhvTMilubcQuyygkiU1pWb4OSRgF\nkZgGkJcrjvHyYCH/P6vKeHDRKqaPozNej8XMT4o/ddVhHOho5bHl673SAKndZOThg59RZ9AzNzaB\n785eOKHDmoVTHE4nfztewtGudnJ0kXypcLb4t2DgTpfbehLefV8Yn8RHjbUAqCSJuWJUkscURsVQ\nOIaLg75y0Xfm8vtr/suqL073yF3TkTAWFw8kpQBOJ4YPP5yyiSkM3F1YdmMBm584iMPmRKkWyYe3\n6a3u2+ztspN+m83vEtNNadlsb2mksrcbrVLJHYWzfB1SwJgTm8Dvlq2noreLbF0kuRFiN0IgEYlp\nANnWfGprgl2W2dXaNK7EtErf49YcoK5PT5fFTFywZ0cJAPzp2EHKe7oA2NnaSGZNBNfnFnr8dYTz\ne6PmOP+uOQ5ARW83KoWCr0wf/12TQHddbiElXR3U9umJDw7hi/lFvg7J475RNI+McB3tJhPLE1PE\nboMpLHFaFAUrUtjyXAmbvjkxyeHpW3zPteV3qgiL1hKXoePEwTZyFk6uHRr+KD8yhqzwCGoMvQDM\nj0sg3gvnPOMVolbz2yVraDUZidAEESp+V0YlSxdBli7wRiAKIjENKPHBITQMacqSMM4305TQMFSS\nArs8MHw6QhNEhCZoXMc8my6L2X1t9t4ct4qeLnqsFmZExRIi3szPcGLwA/mkWoP+LI+cvLY3N/BG\nzXGClSruKJxFli6SqCAtf1ixAYPNSphag2IStplXKRRckZXn6zAEP3Hhd+fx+6veZvUXZxAc7v07\nRqErVmAuKcHW0IAUEkLEFVd4/TUDQf6KFMq2NYrEdAIEKZX8aslqdrY0olYoWJ6Yet6Z776iVCjc\ntiELwlQgmh8FkA6Tkd8f3ktjv4GF8Ul8bcbccc9o2tPWzOtV5QQpFXwxfxY5Ed5p2PHf2kr+fOwQ\nMLCF8IFFq7wyoPufVeX87fhAB7aU0DAeXrKWcM3wJ1y7Whp5puwwsgy35Bf5ZQMEb/ig/gR/PLrP\ntb45bwbX5vjXaAtvqjPo+daOD3EOvi9FB2l5Zs2FATXDV/ANm8PBR4212JxOVienofPShbyJ9Pw3\nPyEhN4ILvz0xo8NkpxOnXo8iNFTcMR1U+mkD7z62n++9cZmvQxEEQRgz0fxoiokNDuGhxas8esyF\n8UksjE/y6DGHc0lGLskhYdT26ZkVHe+1BPi1qlPDtBv7+9jR0sCm9DNnxfVYzDxyaDc258Dd4scO\n72F6VIxXtjH7mwvSMlEpJI50dZCri+TCYf5+JrPGfoMrKYWBu/l9NhsRQYGfZAjeI8sy9+/bwaHO\ndgD+V1fF75atC/hO4Bd+dy7/d8XbrLmtiGCd9++aSgoFykj/7VjsCzmLEqk/2om5zzph9b5nU9nb\njQxME3V5AU0eLPfqtVpYHJ9E9DjmeBqsVl6tOkaPxcqVWdPIET8bgheJxFSYMPPiEpnn5S6nQUoV\nZofDbT2cHqvFlZTCQM2ut+pr/dHalAzWpmT4OgyfyIuMJkytps9mAyA3IgrdWe6qC8JJHWaTKymF\ngQtf5T1dAT8zOiE7kulrU9ny7FEu/M7E3DUV3GmCVWTOiaPysxaK1qf7LI7HDu91NUdbm5zOd2cv\n9Fkswvg8VXKA9+prAHi1spTfL19P1BinLvyw+BOa+vsA2N5cz2PLN5Ah6jcFLxF714RJ5ZtF81wd\nZhfFJ7EqKXXYx6WEhpMzZM5gepiOzPCxv9HKskxzfx/dp9XSCv4nRhvMrxev4ZKMHK7Jzuf+hSv8\ntsZImDiOIReqhhOqVrt1r5YY2AY+GVz47XlsebYEY6/l/A8WvCJ/5UCdqa/UGfSupBTgk6a6M/oR\nTFVmu53ny47wmwPFbB/ShNJfOWWZ9xtOuNZdFjN72prHdCy91eJKSgGcwKtVZeOMUBDOTtwxFSaV\nRQnJvLj+Ukx22zlnsqoVCh5atIr3G2qQ5YHtrWMdmeKUZX59oJji1iYUksRXCmdzUUbOWP8IPlfc\n2sgTRw9gczq4IXc6l2dN83VIHpcerhOdiAUAavS9PLR/J+0mIwviEvnx3CVohnkvCFGp+eHsRTxV\nchCr08EN0wrJGMfFLH8Snx3BjPVpfPLMUS7+3nxfhzMlFaxI4aUfbPXZ629tqj/ja+PtYTFZ/PHo\nPtdUhJ0tjYSq1X69U0IhSejUGnqGjMaJHGM9fKhag1KScAwpfxEdggVvEndMhUknSKk8Z1J6Uoha\nzRVZeVyZnTeuGWb72lsobm0CBpLUv5QectsmHEiMdhuPHNxDr9WC0W7nmbLD1OjFVXN/sa+9hTeq\ny6no7fZ1KJPGkyX7aTMZkYE97S28U1d11scuSkjmuXUX8dKGS7kkI3figpwAF357Hp8+J+6a+kr6\nrFh624x0NhjO/2AP29nSyD+r3e+CRWiCSAvTTXgs/qikq8P13zJwbMjaX/1ozmJigoJRKxRcmpHL\nooTkMR1HKUncml/EyUsUOrVGjPoTvErcMZ0iZFmmWt+LWqEgPVx82HiS/bQk1CnLBGon6n6bDavT\n4fa1HqsZmBx3hgLZ/2qrePrYQWDgZOEXC1cwKybex1EFPoPVes71VBGXqSN7YSJHP6pn0VWTK+kO\nBAqlgrmXZLPn35V87q45bGmqo81kZHFC8rjKTEbi8aP7OP1S6tnKYKaiaRFRfDZkK2wgNIYqionj\nuXUXeeRYV2TlsSQhhXaTkWxdpLhjKniVSEynAFmW+e3B3WxvGdiKcmlGLl+ePnvcx3XKMl1mEzpN\n0LBb30ajuLWJd+uq0ak13JpfRGwANSFaEJfI9KhYjnUPXEW9Prdw3H8fvhKrDWZubDwHOtoASAsN\npyAyxsdRCQAfD6n/csgyW5vrRWLqARdn5PCX0oFRVqEqNWtTfNd8xtccVgcabWC+d00Gi6+exovf\n/5S6dRL/Hbxz/8/qcn67dK1Xk1Orwz0tXRiXyBcLZnnt9QLNt2ct4IXyo7Qa+1mRlDrmu4+BwCHL\nHO/pIkipJHtIH47EkFASQ0J9GJkwVYjEdAoo7+lyJaUAb9dWckXWtHF1oDVYrdy3ZxtV+h50ag33\nLVhOXmT0mI5V1dvDrw8Uu0Z41PXpeWzFhjHHNtHUSiUPLlrJ8d4uQlRqr1/d9iZJkrh3/nI+barD\n6nCwKjmNYNXUeJuoM+h5bbCpw7U5BX63syBaGwxDtvDGBI29/b9wyqWZuWTpImju72dWTBwJU/jk\na+bGDF65ZwdKjYKZG6Zm125fypofj8Mus2NnNQzesLQ4HOxubR7R54rRZuPJkgNU63uYGRPHHYWz\nUY9gPvP1uYWu+d9pYeF8b/aiET1vqghTa/hG0eTvWO1wOrl/3w7Xhekrs6Zxm7hAIUywqXHGOcUp\nhmlgMPRr1foe9ra1kBASyurktBEd880TFVTpewDQ26z8tfQwDy9dM6b4qvU9bnMlawy92J1OVAH0\nwahSKJgeFevrMDxCrVCwITXTY8crbm1if3sL6eE6LkrPGfbn0df6bFbu2b2V3sFmEYc623h61ef8\nasvSV6fPoddqodbQy5yYBK7Kzvd1SJNGUXQcRdFxvg7D51bdMp3k/Cie/+YnlG9r4vK7F6EOEndQ\nJ0rdoQ7sVgdR3Vq6U+2ur8cFj+wi1LNlh9naPNDEqKHfQHSQlutGUA94TU4+c2MT6LWaKYyKnTIX\nIwV3h7vaXUkpwL9rKrg6Ox/dGBsneUqX2cThznbiQ0ImzXmWcHbi3WcKyIuMZn1KhqsV/DXZ+cQM\nDluu7O3mx8VbXM16ag293JJfdN5jnl6HaHHYz/LIkcQXhUpSYJcHYsiPjA6opFQ4u+LWJn65f5dr\n3Wk2c+sIfr4mWrOx35WUAvRaLTQb+8j1o1qiGG0wv1myxtdhCJNc7uIkfrr5Kl76wVb+cP07fP/f\nl/k6pElPlmU+fPowHz59mOseWk7C2jh+f2gPbSYjq5LTWJM8su3lDUPGesDArN2RyomIPP+D/IxD\nllGAGPflISrJ/bxLASgl356LtRr7+cGuT1yfz7cVzOTKrLwRP7+pv49HD++lzdTPyqQ0bi+YKX5e\n/JxITKeIb89awNXZ+agUCrc6gV2tjW4dZLc2148oMd2Uls0njXX0Wi0oJYlrcwrGHFtGeAT/b8Fy\n3m+oIVyt4cZp08d8LMG/7G9vOWPtj4lpUkgo4WoNBttA4xudWjOp6mlqDb28UX0chSTx+ZwCkkPD\nfB2S4MdCo7Tc8PBKHlj9uq9DmRI66w28+cvd/Oh/V5I+c+CO0CPL1o36OIviE129DgAWxid6LEZ/\n82plKa9WlqJSKPhG0TxWjzB5F86uKDqW1clpfNpUjwTcmj/TZ7uGjnV1sLutmcZ+g9tF47dqKkeV\nmP7+8B7Ke7qAgZ1+2boI1qaIMgV/JhLTKSQ1LPyMr8Vp3etM40dYd5ocGsbjKy6goreLpNAwUkLP\nPPZozI6NZ3asaOQy2Zxep5nup+MHwtQaHli0klcrS4GBmqvxjBDyJ3qrhXs+24p+MOk+1NnGU6s2\nEqQUb//C2RnaTYTHiTrmiRCbrmPtHUV8+NQhbn9y/ZiPc1V2PpFBWmr0PRRFx7F4kjbpqert5qWK\nYwDYHQ4eO7yPBXFJflV6EYgkSeL7sxdx07QZaBSKgb4GPnCsq4N7dm91m516Utgo/43bTEa3detp\na8H/iDOTKW5jWhY1hl52tTSSGBLKt2aOfLh6RFAQC+KTvBidEOguSs+hy2xmf0craWHhfHX6HF+H\ndFbZukh+Om+pr8PwuIY+gyspBegwm2g1Gv2uuZPgX/QdJmSnTNm2RqJTwohKCRP1pl506Y8W8utN\nb7DvrSrmX5Yz5uOsS8mASX5HaOj7GYBddmJ22EVi6iG+3i20p73ZLSkNUiixOB1EaIK4axTnqAAr\nElN5u7YSAI1CwSJxzur3RGI6xSkkiTtnzOXOGXN9HYowCSkkiVvyi0a0PVzwjqTQMEJUKoz2gTrw\nCE0QsSNspiJMXQnZEWQtSGDzHw/Q2dBHb0s/oVFaolPDiEkNJzotnOjUMBJzIsldkjiiui1zWRmW\nigrUKSmEzJv8XU5HQxOs4pZH1/D0be+TuySJiPjAGZk20aZHxZIVHkGNoReAJQnJrr4ZQuBLCnEv\nNZkeHcvd85agUShHXR96R+EssnWRtJn6WZyQ7DYCR/BPkjzMrXKPvoAkyd5+DUEQxudoZzudFhOz\nY+KJDNL6OhzBw8q6O3mtqgylJHHjtBlk6cY20sjqcNBlMRGjDRHjJKYYp8NJb6uRznoDnfV9dDUa\n6Krv4/iuJuZflsOlP1rgOmk09lpor9GjDVeTkDNwImg6coTuF15wHU93ySWErVnjiz+KX3v7t3s5\ntqWei783n+lr01AoRKOW4ZjsdopbG9EolCxJTEE5AQ1tyro7eaWyFIUkcdO0GQHZMCoQyLLM8+VH\n2NXaRFJIGN+aOV9ceAgQkiQhy/K4fhlFYioIU9yrlaWuep3oIC2/W7ZOfAgIZ6gz6Llvzza6LGYS\ng0N5cPFK4oMnT4MoYWwMnSb+eP3/CI8NxtJvo62mF7vVSVymjp6Wfi794QJW3FxI98svY9q3z/U8\nTWYmsXfd5cPI/ZPD7mT3vyr49PljmPRWrvn5EmZeMLm35gaCHouZr23d7Np5olNr+PPqTYSI7cOC\n4OKJxFRs5RWEAOKUZSQ82x7/rROVrv/uspjZ1lzPFaPoeidMDS9WlNBlMQPQYurn1coyvjnKeh9h\n8gmPCebbr13MsS0NRKeGEZepIzw2GEmSaK3q4U9f+oD6ox1sWh3j9jxlrJhHOBylSsHS6/JZcm0e\nu149zifPHBWJqR9oMva5klIYqHNtNxvJUI9t94kgCMMTe7EEIUC8WVPB59//D9d+8Cbv19d47Lih\nKvcrvkO70cqyTH2fnjZTv8deTwhMttNmFw8dMyVMbaFRWhZemUvOwkR0cSGuC2cJOZH88O3L0beb\nePZpE/bCRShjYtDOnEnE5ZdPeJyy3Y61vh5HT8+Ev/ZoSZJE5pw4eltFF1F/kBaqI0IT5FrHaUN8\n3iRoPF6rLOOGD97iji3vcrizzdfhCIKL2MorCAGgsd/A17e+z8nfJIUk8eyaCz3Szv1oVzu/2l+M\nwWZlWWIKP5y9CKVCgVOWefjAZ+xsbUQCvpBXxDU5+eN+PcG/dFvMPHF0P83GPpYmpHDTtOnD3pE/\n2tXO/Xt3YHY4CFWpeXDRKp/UWHVbzBjtNpJCwlCIQekBwemUeffR/ez8Rzl3/HkDWfMmfjSY02Si\n46mnsDc1gVJJ5PXXEzLXv5v+9Xeb+X8rXuWRklt9HYoA1Pfp+Vf1cZSSxOdz8kkMCcx50CVdHfz0\ns09d6zC1mhfXXyreT4VxE1t5BWGQ3mrh6ZKDNPQbWBSfdNaTa18q6+7EaLcxMzoOtXJ0YxcMVitD\nL+84ZZl+u41oxp+YFkXH8eL6S7A6nQQNietwZxs7WxsBkIG/Hz/KRenZfl9TY3c6efTwXopbm0gO\nDePHcxePe87uZPaHI3vZ194KQH1fGUkhoaxPzTzjcUXRcTy5ciP1/QYywyOI8kGTrPfqqnn62EGc\nssyCuP/f3p0H1lnV+R9/f2/2vdmatEnb0IW2lDal+wKl7CKbiiijjqOOoqAggqCowzKi/HQQAUdH\ncHRYHBTcwGFfSynFLpSu6d60TZekafZ9uff8/ri3oUmTZmmS56b9vP7Q+9zluaec3Hufz/Oc8z3Z\nfH/GfCJUhCns+XzGZbfMJHdKOr/+witc9b05LLh2cE9y1a9eHQylAH4/1c8/H7bBtLWsjIZ16/Al\nJNDS6Ke5oZXoOB2ueW1UYjI3T5vldTNOWHlTQ7vt2pYWmvx+4iKP/RtrCQT47eZ1FFSUMSEllevO\nyD9mDeyyxgb+a9MHlDTUcXZ2Lp8eP3lA2y8nN33TyUnhVxs/aAtRu2uqyIiN4yOjx3rcqg89WrCW\n5/fsBCA9JpZfLbqk0x+BroxLSWXisDS2VpYDkJ8+nJH9GLbMrF0oBeg40MEBAcJ/9MMLe3ay9GAR\nEPxb+OXGNdw0dSaHGuoZl5yqte462Fdb0367rrbtdrPfzwPrV/FBaQmjk5K5ffpczsrIGuwmAuB3\njt9sXkcg9Ie5urSYf5QcYOGIXE/ac6r7ny3reWHPTpKiYrglfzZT0zO7fU3+JXlkjU0JzjvdcJgr\nvzObg9sq2LOulL3rSynfV8vsj49nztUTTtkg1lpeTulDD+Hqg0N4kxImUVVST2be0F93+MltG1my\nv4j02Di+OW2mThh6JD99OBmxcRxuDAbUBVk5XR6PPLNjMy/u3QUEf09jIyL5yhn57Z7z8/WrWF9W\nCsCemgJGJiRyzohRA/gvkJOZTjXLSaGotrrDdk0Xzxx89a0tbaEUoKypkV9tXNOrfUT5fNw7ZxHf\nmjabW/PncOeshQNeHn9axnBmZWa3bX963KR280/DVUWoQM8R++tquWHpq/xg5TvctOx1yhobunjl\nqenoBcd9wMzMD4PnXwu3sbx4Pw3+VrZWlvNIwVoPWhjiXFsoPcKvaSKeeL+0mL8Vbqc5EKCsqYGf\nrl3R49dmT0jl9uc/Rvn+Wr47/Un+dNdyirdXMH7uCC782jQ2vrGXOxf8kRd/voba8sbj7sv5/bQe\nPkygofvPdPzs2UTl5AQ3IiJIufzyHrd5MDVt2dIWSgESIuqpLB76c/yXHdzHn3ZupbSxni2VZfxs\n7Uqvm3TKSo6O4f755/HlydP45tSZ3DZ9TpfP7Xgs1fFYC449uRlOx1/AMb8bEt5OzVOSctKZkZlN\nUV3wy9CAGZneXNXpTIQde/7nUEPvC1rERERwXs7o/mhSj0SY8YOZC9hZXUlcRAS5iUPjjP2ikaN4\nYe9OmvzBYj2BQIDW0A9TaWM9L+3dxedOn+JlE8PKlybnMyIhkeL6OuYMH8GZaR9e+SrvEOI7bg+m\nCJ+Pz50+mh7xJAAAHuxJREFUhce3bgRg0rB05mWN9Kw9p7LKDid/apqb8AcCPR5WHZcczfWPXYK/\nNUBEZPvXTL1oDMXbK3jzNxu555xnmHnVWM753GS2LT/Ie89sZfGXzmTBtRMJNDZS9sgjtBQVYdHR\npP7LvxA7sevhwb7YWDJuvJHWkhJ8SUlEJIfn91lEamq77eRko/rQ0C+AVFLfPlwXq6Cep9Ji47gy\nb0K3z5uZmd02Gu3IdkezMrN5dd9uIFj/YoZHo2o6qm5u4sdr3mNzRRnjkofx/ZkLtBTeEKBgKieF\nL06ayvC4ePbX1TArM7vTL0+vxEREMC9rJP8oOdB23/whckDtM2NCSmr3TwwjY5OH8cCC8/ngcAkj\n4xN5ctsmqlqa2x6P1JzEdiLMuHzM+E4fO3fkaF7ft7st2J+f6+2yFVePncjc4SOobWlhXEoqUSdh\nX/qd4419uylvamRhdg6jwvCE0IzMbNJj4igLzVU7PzevT3N9O4bSI7InpPKZn57D5bfNZOljBfzn\n515i7MwsPvqtGTx33yr2bTzMJec20VIUHLLvmpupfvZZYr/zneO+n0VGfnjVtI/81dVYVBS+uIE5\nwI2dPJnECy+k/r338CUmkj5z4klRmXfW8Gz+sGMzzaHq3guyT6wfZHBcNCqP6IgINlccZkJKaqf1\nB66fcha5iUkcaqhnQVYOk1LTj92RB57aXkBBRRkAO6oreWzrBm7N7/rqsIQHVeUVGQQB5/jLzi1s\nraxgesZwLhszLuyKM/VUwDnKGxtIio45Zl5qOFpfdogfr3mP+tZWxiYP49455wyJIcnhYmdVBevL\nSxmdmBxWJ3x6a9WhgzyxdSMYfGHi1LD9tzy84X1eD119iIuI5OcLz+/X+eT9paKpkX+UHCApKpqF\n2TmD9n1WX9XEYze+Rf3+Uq6avJGE2GDQiUhLI+t73xuw93XOUfn00zSsXg0+Hymf+AQJ8+YN2Psd\n8e7/bmHZU5u58amPEp8S0/0LwlhhdSXLi/eTHhvHxaNOUxVYGVD/sXYF7xzc17Z9VsZw7pl9joct\nOvn1R1VeBVMR6bH61hbuWrWMrZXlJERG8YOZC5iSluF1s7pV39JCZXMTWXHxquJ6CqpoauQrS16i\nObT2arQvgv9e/BGGeVBZuDvXvPps2zB0gC9PntajIXenkoA/wN9/tJxlj28i0ufHDL7+0FnkXjp/\nwN6zaft2yh555MM7fD5G/OhH2AAXU3PO8ac736NwTQnf+P2lJKSG39/sqWRjeSmF1VWckZrhyXJZ\n/e332zbx2r7dDIuO4eZpszktOcXrJvWbDw6X8MPV79LqHD4zbp8+V1fqB5iWi5GTyt6aah7fuoHm\nQIBPjp1Ifsbgr3Unx/finl1tlYHrWlt4pGAtD599ocet6l58VFTYLnNT1tjAIwVrKW9sYHHO6C6H\n1UrfHW5saAulAM0BP2WNjQMeTDeVH6ampYlp6cOJj+zZ39/wuPh2xUOGx8UPVPOGLF+Ej4/deTYL\nPzOJ1uJilr1QyrvLAszPKWXp4wVMPDuHmVeNw+frvytyrrm5/R2BAM7vH/BgamZc8+/z+du9K3j4\n2he58Q8fJTFN4dQLb+zbw8MbVuOASDPumn02+elD9zhlRckBntm5BQievPvp2n/wX4su8bhV/ees\njCx+tuACtlaWMS4ldchNSzpVKZhKWGjx+7lz1TuUh4pqbK4o41eLLmJ4XILHLZOjHZkf1Lbt93fx\nzK4554bsMOaB8NO1K9gcmgezraqCEfGJvR5mWtcSPEmwp6aKGZlZ/PPpZ2qY3FFGJyaRk5DI/tBS\nOLkJSeQmDuzw2Me3buQvu7YCMCohiZ/OP69HSxXdPn0uD61fTXlTIxfm5jEvS2f4u5I5PgPGZ3DJ\nxHruPvsZ1r28mwnzRvD4TW+Rc0YaIyem9dt7xUycSFReHi27dwOQsGgRvtjBCYhmxsd/MJe//2Q1\nD13zPDc9fRlJGadWERe/c7ywZwf7amuYPXwEs4+qJj5YXtu3u23BtFbneGv/3iEdTEs7FGHsuH0y\nOC055aS6CnwqUDCVsFDR3NgWSiEYgIpqaxRMw8xFuXm8VrSbsqYGfGZ8evykHr+2sLqK+9a8x6HG\neuZnjeTW/DkqRATsqak6Zru3wfTRzWtZcmAvAIU1VaTGxGr451FiIiL58dxzeXHPTsyMy0aPG9D5\n0X7neLZwW9t2UV0NKw4d4PycD4tHba8sZ39dLVPSMsg86qromKQUHlh4wYC17WSUnBnPrc9eSWZe\nMr/7+pukZCewv6CczLwUomL6p58tMpKMr32Npl278MXEED1mcAuBmRlXfmcWkVE+HrzmeW7642Wk\nZJ06V9Mf27KB53ZvB+DlokLunLmAWd2EU+ccVc1NJEVF98sUjtSY9nN8h0UP7Tm/MzOzSdheQF1r\nC4DWHpWw0G0wNbNc4AkgCwgAv3HOPRx67EbgBqAVeME5990BbKuEsfqWFlaXFpMQFdWnoiJpMXHt\nrmgkRkUxNnng5m9UNDVy/9qV7Kyu4My0TG7Nn9PlAtPyocy4eB4++0K2VZUzPC6+VxVDf7Hx/bYl\nAt4t3s+ZaYVcNmbcQDV1yJiekcXy4mA5/ggzpvbhDHxRTfu15daVHVIw7SA1JpbPDtIyQT6C1bjr\nW1vb7ouL+PD75dWiQn65cQ0OSIiM4ifzFjM6Kfyq7w4lOZODV0e//OsLWP/qHt59agt/vvs95n5y\nAgs/M4mk9DhqKxqpK2+krrKJuopGassbGTYigZlXjKN8fy01pQ0453AOCNXGcKH/OXJ/ZNQwMjKS\nifJg5IeZcdmtM4mIDobTH7z5yS4rG59s1pQWt9v+4PCh4wbT2pZm7lq1jO1VFaTGxHLXrIUnfEzx\n5cn5lDY0UFhTydS0TD7VixOz4WhEQiL3LziPdw/uZ1hMTKcVd0UGW0+OxFuBW5xza80sEXjfzF4F\nsoErgKnOuVYzC/8KKDIg6ltauO29t9rWEb1k1Gl8/cwZvdpHpM/HD2efwzM7t9AcCHBV3nhSB3D+\n1++2rGdDeSkAKw8d5Okdm/nCpKkD9n4nk6To6D6dfCgOnXQ4oqq5qb+aFBb8zlFSX0dydHSvqv5+\na9ps8hJTKGtqYNGIUQyPjefpHZsxjEtHjyUpuvt9jUxIYkd1Zdt2QXlZn/4N0j/MjG9OncUD61fR\n5Pdz7shRzD1qiaj/27OjbUhgXWsLr+/fzZcmTfOmsSeZyOgIZlw+lhmXj6V0dzXL/7CFB695npZG\nPwmpMSSkxpKQGktiWgxxyTG89OAH7FxZwupnd5A+KgkMjFDgtGBfmn14u6XJz+E91WCQmZfM8LwU\nMk9LYfhpyWTmJZM5NoXEAS5QNPXCMSx9rGBA3yPcjE5KbjvGABjVzVD8Zwu3s72qAgieiP5NwTru\nm3fuCbUhPTaO+xecd0L7CDc5CUmdBuyAcxyoqyEhKnpAj8VEOuo2mDrnioHi0O1aM9sM5ADXAf/P\nOdcaeuzwQDZUwteawyXtfjBeKSrky5OnERPRuyuQGXHx3NDLQNtX5Y3tF4g/sh5fT7QGAjy5bSMF\nFWVMSEnlixOnEjUElk3x0st7d1EbGi4EEGk+Fo3I9bBF/avJ38qdq5axuaKMaJ+Pb0+fy7werlUb\nExHBtRMmt+3n5nffaBs58M7BIh5YcH63f1/56cNZerCobbuutYU/bt/ctl8ZfPkZw7lyzHiqW5q5\ndPTYdnN+EyLbn2xI6GFhJOmdzLxkrrpjDlfd0fXahQe2lONvDXDn25/qcVEh5xx1FU0cKqyitLCK\n0sJqNr5ZRGlhFYcKq/D5fGSGgurISWlccN1UIqP77zfinScLWPiZSWF9tfSVokKWHigiMy6eL02a\nSvIJDnu9YcoMIszHvtBa5ZeMOu24z284arQCQKO/tYtnSketgQD/vvpd1pYdwmfGDVPO4uJu/nuL\n9JdeJQczywOmAyuA+4FFZvZjoAG4zTm3ur8bKOGv40FVTEQEkb7wDmqLR45uu2LqM2PxyNE9fu2f\nd27lb4XBuS5bK8uJ8vn4oq52HNeRM9dH5CQmktuLYcDh7o19e9oKGDUHAjxasLbHwfRoe2qq20Ip\nwJ7aavbV1XBaN0PQZmZmkRId0+4q9FM7CpifPZIxSSr84IV731/OxvLg+dqlB4p46OwLyI5PBOCr\nZ0znh++/y+HGBqamZXLVEB92vbOqkr211UxOTWv7Nw4VN//p8l6/xsxITIslMS2WsTOz2j3mnKO2\nvJHSwmpKd1ex/A9baW5o5YrbZvVLe5vqW1j5lx1MPjeX31z3OrVlDZz7xSnMuHxsv+y/P6w+dJBf\nblzTtl3Z1Mjds8/u9LkNra0sL95PpM/HwuycLusOJEVH8+3pXZ9g6OjS0aex5MBealqa8Zlx9diJ\nvftHnMLeK9nP2rJDQPDK6aMF67goN09FC2VQ9DiYhobx/hn4ZujKaSSQ6pybZ2azgWeATr8Z7777\n7rbbixcvZvHixSfSZgkzZ2VmcdmYcby4ZycxERHcPG02EWH+BXbRqDwy4+LYVV3JGakZTEpN7/Fr\nC2sq229XV3XxTDlicmo6r+3b3bY9lCsZdqblqKVIIHjGuS/SY+OI8vna9hfti+jRMKq02DjuOGsu\n312xtN39tS0tXbxCBlKT398WSgEa/K1srihrC22nJafwu/M+SpO/tdcjS8LN0gNFPLBuJQGC82h/\nNHcR40/hZRnMjKT0OJLS4xg7K4tJ5+Ry3yV/Jf8jeYyeeuIznsyMi26YRlxSNEmZcURE+PjDHctI\nyohjwrzBr1TbmZ3VlcfdPqLJ7+eOFW+zK/T42wey+beZC/olAOUmJvOLUD2EkfFJmsPdC/6Aa7ft\ncDggvI/qxAtLlixhyZIl/brPHv0ihkLon4EnnXPPhe4uAv4K4JxbZWYBM0t3zh0zuenoYConp6+e\nMZ0vTpxKpM83ZJapmJ6RxfSMrO6f2EF++nDeKznw4bbWW+3Whbl5NPv9rC07RF5SCp8aN7SLRnR0\nfs4YXikqZF9dDT7gc30sspMeG8e38+fwxLaNGMYXJ03t8Vqbk1MzmDN8BCsPHQRg4rA0Th/Wf8tl\nSM/FRESQFRdPSWj5BSO4RM2xzxvaoRSC82WPnIZp8LfyalHhKR1MO0rJiucT/zaXx296iwu+Oo1R\nUzMYNaXnJ0KP9tx9K6ksriM+JYZAq8MFIH5YNLM/Pp5H/vVVvv3slWRP8P6//ZTUDAza5lFPSes8\nkG+rLG8LpQCrS4s51FBPVnz/VONPi41jXqyWW+qt+dk5TNy7k62V5RjweS0/Jl3oeLHxnnvuOeF9\nmnOu+yeZPQEcds7dctR91wE5zrm7zOx04DXn3DH1083M9eQ9RHrjQF0NAec8Gw76WtFuCioOMyEl\nlUtHjw2bIS7Nfj8VTY1kxMb1S3n8k93awyWUNzVyVkbWCRd4aGxtZUdVBamxseR0EkIGg985VpYc\noNUFmDt8JNGa++yZotpqHi1YR11LM5eNGc8FuYO7vMhguXvVMtYcLmnbvnrsRP5l4pketij8OOdY\n9r9bWPmX7RStP8x9H3yOuOSeF0hzzlG2t4YHP/UCc68eT0JqLPWVTdRXNVFf1Rz8/8om5n96Igs/\n2/uTfkW11ZQ3NnL6sLR+q06/ouQA7xzcR2ZcPJ8eN4nYTva7p6aKG5e93rYdaT4eP/+yHhV881p1\ncxPLi/eTEBXFwuzcky64tQQC7KyqICk62rPfMxl6zAzn3Al9GLoNpma2EFgKbCB4AswB3wPeAH5H\ncM5pE3Crc+7tTl6vYCr96reb17etZ3Zxbh7fmDrT4xaFh13Vldy9ahmVzU2MSkji3rmLVE3vOH6/\nbRPP7NwCQFpMLD9bcD7psafWovUiJ2p/XQ33rHqX4oY6Jg1L585ZC3pVldprTX4/e2uqSIuNG/DP\n/4s/X8Pbj23i8m/PZN41pxMVe/wQuPq5nWx4dQ87VhTjnGP8vBF88u55JGf23/qlL+/dxa83fUAA\nyElI5CfzFp9woaLe+MuurTy1vYBI83H9lLNYnNPzeg9eqWlu5tblb7Ytf3buyFHcmt/z+a8iJ6tB\nCaYnSsFU+lNxfS3Xvf1Ku/seXHjBgK55OlTcufKdtoIFAFeMGc9Xzsj3sEXh7drXnmu3zuRXJudz\nRd54D1skMnQ1trZ2elUsnNU0N3PHirfZW1tNpPm4NX82Cwe4Wviu90t45eEPKNpYxoXXT2PhZyYR\nE39sVeam+hZuP/MJrr3vbMbPHUHGmKQBGZnz+Teep/Koomn/OmkaV502uMW4nAdrwvbGc4Xb+Vvh\nNuIjo/jGmTMoa2rgP9aubPecZy66asj9/Yv0t/4IphrrJ0NKZ+c4dOIjqLlDwZ3mgN+jlgwNHa/q\nDKWrPCLhZigelL+6r5C9tdUAtLoA/7N1w4C/59iZWVz/+Ee4/vFL2LmyhLsWPs2r/7mWhprmds+r\nLW8kMT2O+Z+eSGZe8oAFt45VcKM8mAISzqF0a2U5v92ynvKmRvbV1fCjNe+RHNX+inJ8ZKSWjBPp\nJwqmMqSMSEjko6M/LP58Xs5oxqnQBgDXjJvYdlCRFBXNFWN09e94bp42i5ToGIzgUKxFI0d53SQR\nGUQd45BvEOuOjjozg688eiE3/fGjHNhawd0Ln+aFn71PXUVwje26iiYSUgd+SO3XzphOTChUTUnN\n4ILcvAF/z6GkNFTA7IialmbGp6RyzbiJRPt8pETHcNv0uWG/EoHIUKGhvDIk7a2pxu8C3a7veKop\nqa9jf10NY5OH9bia66muJRDw5CqBiHirtqWZ769YSmFNFVE+H9/On8P8bG+quB4qrOK1X65j1bM7\nAHABx+TFo/ja7y4e8Peub2mhpqWZzLj4k66Iz4mqbGrk5nffoLwpeMJgZmYWd83qfE1WkVOd5piK\niIiI9FGL38++uhqGxcSGRbG4liY/AX8AMyMy2ocvQifNvFbaUM+SA3uJj4zi4tw8DdsV6YKCqYiI\niIiIiHhKxY9ERERERERkyFMwFREREREREU8pmIqIiIiIiIinFExFRERERETEUwqmIiIiIiIi4ikF\nUxEREREREfGUgqmIiIiIiIh4SsFUREREREREPKVgKiIiIiIiIp5SMBURERERERFPKZiKiIiIiIiI\npxRMRURERERExFMKpiIiIiIiIuIpBVMRERERERHxlIKpiIiIiIiIeErBVERERERERDylYCoiIiIi\nIiKeUjAVERERERERTymYioiIiIiIiKcUTEVERERERMRTCqYiIiIiIiLiKQVTERERERER8ZSCqYiI\niIiIiHhKwVREREREREQ8pWAqIiIiIiIinlIwFREREREREU8pmIqIiIiIiIinFExFRERERETEUwqm\nIiIiIiIi4ikFUxEREREREfGUgqmIiIiIiIh4SsFUREREREREPKVgKiIiIiIiIp5SMBURERERERFP\nKZiKiIiIiIiIpxRMRURERERExFMKpiIiIiIiIuIpBVMRERERERHxlIKpiIiIiIiIeErBVERERERE\nRDylYCoiIiIiIiKeUjAVERERERERTymYioiIiIiIiKcUTEVERERERMRTCqYiIiIiIiLiKQVTERER\nERER8ZSCqYiIiIiIiHhKwVREREREREQ8pWAqIiIiIiIinlIwFREREREREU8pmIqIiIiIiIinFExF\nRERERETEUwqmIiIiIiIi4ikFUxEREREREfGUgqmIiIiIiIh4SsFUREREREREPKVgKiIiIiIiIp5S\nMBURERERERFPKZiKiIiIiIiIpxRMRURERERExFMKpiIiIiIiIuIpBVMRERERERHxlIKpiIiIiIiI\neErBVERERERERDylYCoiIiIiIiKeUjAVERERERERTymYioiIiIiIiKcUTEVERERERMRTCqYiIiIi\nIiLiKQVTERERERER8ZSCqYiIiIiIiHhKwVREREREREQ8pWAqIiIiIiIinlIwFREREREREU8pmIqI\niIiIiIinFExFRERERETEUwqmIiIiIiIi4ikFUxEREREREfGUgqmIiIiIiIh4SsFUREREREREPKVg\nKiIiIiIiIp5SMBURERERERFPdRtMzSzXzN40s01mtsHMburw+K1mFjCztIFrpnhlyZIlXjdB+kh9\nN7Sp/4Yu9d3Qpv4b2tR/Q5f6TnpyxbQVuMU5NwWYD3zdzCZBMLQCFwF7Bq6J4iV9SQxd6ruhTf03\ndKnvhjb139Cm/hu61HfSbTB1zhU759aGbtcCm4Gc0MM/B24buOaJiIiIiIjIya5Xc0zNLA+YDqww\nsyuBIufchgFol4iIiIiIiJwizDnXsyeaJQJLgB8CrwJvARc552rMrBCY5Zwr6+R1PXsDERERERER\nGZKcc3Yir+9RMDWzSOB54CXn3ENmdibwOlAPGJAL7AfmOOcOnUiDRERERERE5NTS02D6BHDYOXdL\nF48XAjOccxX93D4RERERERE5yfVkuZiFwGeB883sAzNbY2Yf6fA0R/DKqYiIiIiIiEiv9HiOqYiI\niIiIiMhA6FVV3uMxs0+a2UYz85vZjA6P3WFm281ss5ldfNT9/2Rm681srZm9aGZp/dUe6Z0+9l+U\nmT1iZlvNrMDMPj74LRfoW/8d9fjfzWz94LVWjtbbvjOzODN7PnTfBjP7sTctF+jzd+eM0G/fNjN7\ncPBbLR2Z2TQzW25m68zsuVDBR8ws0sweC/XXJjP7rtdtlWN11X8dHtsYejzay7bKsY7Xf6HHR5tZ\njZl1OqVQvHOc784LzWx16P5VZnZeT/bXb8EU2AB8HHi7Q4MnA58CJgOXAr+yoAjgQeBc59z00Ou/\n0Y/tkd7pVf+FHv4+UOKcm+icO6Pja2VQ9aX/CJ1MqB7Edsqx+tJ3/+GcmwycBZxtZpcMYnulvb70\n338B/+qcOx04Xf0XFv4buN05lw/8Dbg9dP81QLRzbhowC/iqmY32qI3StU77L3Ss+SRwnXPuTGAx\n0OJVI6VLXX3+jvgZ8OKgt0p6oqu+KwUuD93/BYKfw271WzB1zm11zm3n2LmmVwF/dM61Oud2A9uB\nOUc9Lyn0Y50MHOiv9kjv9KH/AL4E3HfUPsoHo61yrL70n5klAN8C7h3Mtkp7ve0751yDc+7t0Gtb\ngTUEK6OLB3rbf2aWDSQ551aFnvcE8LFBa7B0ZYJzblno9uvA1aHbDkgIBZx4oAmdzAtHXfXfxcA6\n59xGAOdchdMctnDUVf9hZlcBu4BNXjRMutVp3znn1jnnikO3NwGxZhbV3c7684ppV3KAoqO29wM5\noQOqGwiebd5H8KzybwehPdI7nfafmaWEtu81s/fN7Gkzyxz85kk3Ou2/0O0fAvcDDYPdKOmR4/Ud\nAGY2DLgCeGMQ2yU901X/5RD8zTtiHx36VTyxycyuDN3+FB+e7PkzwaXxDgK7gfudc5WD3zzpRlf9\ndzqAmb0cGlZ4myetk+502n+hYaG3A/egIqvhqqvPXhsz+ySwxjnX7WiFyN68s5m9BmQdfRfBs4nf\nd879Xy/3FQlcD+Q753ab2S+A7wE/6s1+pOf6s/8I/u3kAsucc7ea2bcIDrX4fL80Vo7Rz5+/fGCc\nc+4WM8tDX/gDqp8/e0f2GQE8BTwYuiInA2Qg+k8G3/H6keAIoF+Y2b8BfweaQ8+ZC7QC2UA68I6Z\nva7P3ODrY/9FAgsJDsNuBN4ws9XOubcGreEC9Ln/7gJ+7pyrD82E0LGKB/rYd0deO4Xg6MqLevJe\nvQqmzrke7bSD/cCoo7ZzQ/dND+6y7cv9GeA7fdi/9FB/9p9zrszM6pxzfwvd/yeCf5wyQPr58zcf\nmGlmu4AoYLiZvemcO//EWyod9XPfHfEosNU594sTaZt0r5/7r7t+lQHSg368BMDMJgCXhe77J+Bl\n51wAKDWzdwmGnN0D1U7pXB/7bx+w1DlXEXrsRWAGoGA6yPrYf3OBq83sp0Aq4DezBufcrwaupdJR\nH/sOM8sF/gr8c09P5g3UUN6jz2j8HbjWzKLN7DRgPLCS4A/xGWaWHnreRcDmAWqP9E5P+g/g/46q\nsnUhUDCIbZSuddt/zrlfO+dynXNjgbMJBhyFUu/16LNnZvcCyc65b3nQRulaTz57xUCVmc0J1Vf4\nPPCcB22VoxyZimJmPuAHBAtUAewFzg89lgDMA7Z40UbpWif99+vQQ68AU80sNjRS71x0rBJ2uuo/\n59wi59zY0LHKg8CPFUrDS1d9F5pq9DzwHefcP3q6v/5cLuZjZlZE8Ev7eTN7CcA5V0DwamgBwYpa\nN7iggwTHjL9jZmuBfEDLHnikt/0Xetl3gbtD/fdZ4NbBb7lAn/tPwkBv+87McghOezjDzD4wszVm\nptEKHunjZ+/rBGsqbAO2O+deHvyWSwf/ZGZbCfbXfufc46H7f0mwSONGYAXw2yOFdCSsdOy/xwBC\n84EfAFYTLBS32jn3kmetlK502n8yJHTVd18HxgF3HnWsktHdzkzHqCIiIiIiIuKlwajKKyIiIiIi\nItIlBVMRERERERHxlIKpiIiIiIiIeErBVERERERERDylYCoiIiIiIiKeUjAVERERERERTymYioiI\niIiIiKf+PzSW8FzzLYCEAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xca90358>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16,12))\n",
    "\n",
    "for vertices in Texas_with_holes.parts:\n",
    "    line_x_list = []\n",
    "    line_y_list = []\n",
    "    for point in vertices:\n",
    "        line_x_list.append(point[0])\n",
    "        line_y_list.append(point[1])   \n",
    "    plt.plot(line_x_list, line_y_list, c=\"#6a1b9a\")\n",
    "for vertices in Texas_with_holes.holes:\n",
    "    line_x_list = []\n",
    "    line_y_list = []\n",
    "    for point in vertices:\n",
    "        line_x_list.append(point[0])\n",
    "        line_y_list.append(point[1])   \n",
    "    plt.plot(line_x_list, line_y_list, c=\"#1565c0\")\n",
    "    \n",
    "point_x_list = []\n",
    "point_y_list = []\n",
    "point_colors = []\n",
    "bbox = Texas_with_holes.bbox\n",
    "for i in range(0, 1000):\n",
    "    x = random.uniform(bbox[0], bbox[2])  \n",
    "    y = random.uniform(bbox[1], bbox[3])\n",
    "    point_x_list.append(x)\n",
    "    point_y_list.append(y) \n",
    "    if Texas_with_holes.contains_point([x, y]):\n",
    "        point_colors.append(\"#e57373\") # inside, red \n",
    "    else:\n",
    "        point_colors.append(\"#4db6ac\") # outside, green\n",
    "\n",
    "plt.scatter(point_x_list, point_y_list, c = point_colors, linewidth = 0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Test the performance of this quad-tree-structure"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10000 random points generated\n",
      "------------------------------\n",
      "Begin test without quad-tree-structure\n",
      "Test without quad-tree-structure finished, time used = 23.204s\n",
      "------------------------------\n",
      "Begin test with quad-tree-structure\n",
      "Test with quad-tree-structure finished, time used = 0.451s\n"
     ]
    }
   ],
   "source": [
    "# construct a study area with 3000+ vertices\n",
    "Huangshan = Polygon(get_ring_from_file(\"data/study_region_huangshan_point.txt\"))\n",
    "points = []\n",
    "bbox = Huangshan.bounding_box\n",
    "for i in range(0, 10000):\n",
    "    x = random.uniform(bbox[0], bbox[2])  \n",
    "    y = random.uniform(bbox[1], bbox[3])\n",
    "    points.append((x, y))    \n",
    "    \n",
    "print str(len(points)) + \" random points generated\"    \n",
    "\n",
    "print \"------------------------------\"\n",
    "print \"Begin test without quad-tree-structure\"\n",
    "time_begin = int(round(time.time() * 1000))\n",
    "for point in points:\n",
    "    Huangshan.contains_point(point)\n",
    "time_end = int(round(time.time() * 1000))\n",
    "print \"Test without quad-tree-structure finished, time used = \" + str((time_end-time_begin)/1000.0) + \"s\"\n",
    "\n",
    "print \"------------------------------\"\n",
    "print \"Begin test with quad-tree-structure\"\n",
    "time_begin = int(round(time.time() * 1000))\n",
    "Huangshan.build_quad_tree_structure()\n",
    "count_error = 0\n",
    "for point in points:\n",
    "    Huangshan.contains_point(point)\n",
    "time_end = int(round(time.time() * 1000))\n",
    "print \"Test with quad-tree-structure finished, time used = \" + str((time_end-time_begin)/1000.0) + \"s\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Validate the correctness of this quad-tree-structure"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Study region read finished, with vertices of 3891\n",
      "1000 random points generated\n",
      "finished ==================== no error found\n"
     ]
    }
   ],
   "source": [
    "# polygons = ps.open(\"data/Huangshan_region.shp\")  # read the research region shape file\n",
    "# research_region = polygons[0]  # set the first polygon as research polygon\n",
    "# len(research_region.vertices)\n",
    "vertices = get_ring_from_file(\"data/study_region_huangshan_point.txt\")\n",
    "print \"Study region read finished, with vertices of \" + str(len(vertices))\n",
    "huangshan = Ring(vertices)\n",
    "\n",
    "points = []\n",
    "bbox = huangshan.bounding_box\n",
    "for i in range(0, 1000):\n",
    "    x = random.uniform(bbox[0], bbox[2])  \n",
    "    y = random.uniform(bbox[1], bbox[3])\n",
    "    points.append([x, y, True])    \n",
    "print str(len(points)) + \" random points generated\"    \n",
    "\n",
    "# First, test if these points are inside of the polygon by using the conventional method, record the result\n",
    "for point in points:\n",
    "    is_in = huangshan.contains_point((point[0], point[1]))\n",
    "    point[2] = is_in\n",
    "\n",
    "# Then, build the quad-tree and do the test again. Compare the results of two methods.\n",
    "count_error = 0\n",
    "huangshan.build_quad_tree_structure()  \n",
    "for point in points:\n",
    "    is_in = huangshan.contains_point((point[0], point[1]))\n",
    "    if point[2] != is_in:\n",
    "        print \"Error found!!!\"\n",
    "        count_error += 1\n",
    "\n",
    "    \n",
    "if count_error == 0:\n",
    "    print \"finished ==================== no error found\"\n",
    "else:\n",
    "    print \"finished ==================== ERROR FOUND\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Algorithm for building quadtree cells for study area\n",
    "A huge number of points will be simulated and test if falls in the study area in the real case. This calculation process is very computing intensive. Especially when the boundary of study area is complex and contains a lot of segments, or the simulation time is also large.   \n",
    "In order to fast decide whether a point is contained in the study area, we can prepare an grid structure which divide the study area into quadtree based regular rectangles. Each rectangles will have a specific status from ['in', 'out', 'maybe']. After we prepared this kind of grid structure, deciding whether a points falls in the study area will be very easy: first, allocate the point into a specific cell. For the cell with different status:  \n",
    "- in: the point must be in the study area  \n",
    "- out: the point must not be in the study area  \n",
    "- maybe: decide if the points falls into the study area by some following-up calculation. However, the small polygon contains much less boundary segments, the calculation will be much easier. What's more, this kind of grids only take over a very small part of the whole grids  \n",
    "![quadtree_example](img/quadtree_example.png)\n",
    "\n",
    "### Process of duadtree dividing of the study area:\n",
    "Treat the boundary of the study area as arc. Each time of dividing the study area means use two straight lines (on horizontal and one vertical) to split a big rectangle (cell) into 4 smaller ones. During this process, the arc should also be used to intersect with the straight lines and break into small segments. Different segments should belong to different cells and can be used to determine the status of the cell (as we mentioned: in, out or maybe inside of the study area.) Repeat this process until the cell's size is small enough.  \n",
    "During the dividing, there are <font style=\"color:blue\">some special properties of the arcs</font> we need to know:  \n",
    "- Point order of the arcs **MUST** be clockwise  \n",
    "- The two end-points of each arc **MUST** lie on the borders of the cell  \n",
    "- When a arc goes in a cell, it **MUST** goes out from the same one  \n",
    "- The intersection points **MUST** be lying on the inner-boundaries which are used to divide the cell into 4 sub-cells\n",
    "- Use the intersection points to split the arcs into small ones  \n",
    "- No need to store cell boundaries as arcs, store the intersection points, points' relative location from  \n",
    "\n",
    "\n",
    "The following image depicts the categorize rule of cell boundary when being divided into sub cells:  \n",
    "<b style=\"color:blue\">cell_boundary_category_rule</b>  \n",
    "![cell_boundary_category_rule](img/cell_boundary_category_rule.png)\n",
    "\n",
    "<b style=\"color:blue\">segment_sequence_search_rule</b>  \n",
    "![segment_sequence_search_rule](img/segment_sequence_search_rule.png)\n",
    "\n",
    "In the situations that there are some arcs intersect with a cell and we need to extract the segment squence, here is the rule:  \n",
    "1. Start on the bottom-left point of the cell, go clockwise to search points.  \n",
    "2. Find the first arc-begin-point on the cell's border. The actual segment sequence begin from here.  \n",
    "3. Go alone the arc until the end point on the border. Then go alone the cell's border until find next arc-begin-point.  \n",
    "4. Repeat **Step.3** until reach the first arc-begin-point at **Step.2**. Search stop.\n",
    "\n",
    "From the image we can see that the red border lines also belong to the segment sequence.  \n",
    "During the quadtree dividing, when there is a cell who doesn't intersect with any arc, we need to determine whether this cell is totally within the study area or not. we Can use the method above to determine: If this cell share a border which belongs to other cells' segment sequence, then this cell is totally within the study area; vice versa\n",
    "\n",
    "\n",
    "<b style=\"color:blue\">extract_connecting_boders_between_points</b>  \n",
    "![extract_connecting_boders_between_points](img/extract_connecting_boders_between_points.png)\n",
    "\n",
    "<b style=\"color:blue\">situation_segment_intersect_with_two_split_line</b>\n",
    "![situation_segment_intersect_with_two_split_line](img/situation_segment_intersect_with_two_split_line.png)\n",
    "\n",
    "Under the sitiation that a single segment intersects with both split-lines. This kind of situation should be carefully treated."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "## Reference\n",
    "Point in Polygon Strategies http://erich.realtimerendering.com/ptinpoly/  \n",
    "Samet, Hanan. Foundations of multidimensional and metric data structures. Morgan Kaufmann, 2006.  \n",
    "Jiménez, Juan J., Francisco R. Feito, and Rafael J. Segura. \"A new hierarchical triangle-based point-in-polygon data structure.\" Computers & Geosciences 35, no. 9 (2009): 1843-1853.  \n",
    "http://stackoverflow.com/questions/12881848/draw-polygons-more-efficiently-with-matplotlib  \n",
    "http://matplotlib.org/api/collections_api.html  \n",
    "http://materializecss.com/color.html "
   ]
  }
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