pandasGeospatialABC.ipynb

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   "source": [
    "# Table of Contents\n",
    " <p><div class=\"lev1 toc-item\"><a href=\"#geopandas-installation-instructions\" data-toc-modified-id=\"geopandas-installation-instructions-1\"><span class=\"toc-item-num\">1&nbsp;&nbsp;</span>geopandas installation instructions</a></div><div class=\"lev1 toc-item\"><a href=\"#GIS-type-files\" data-toc-modified-id=\"GIS-type-files-2\"><span class=\"toc-item-num\">2&nbsp;&nbsp;</span>GIS type files</a></div><div class=\"lev2 toc-item\"><a href=\"#Take-a-peek-into-a-GIS-file\" data-toc-modified-id=\"Take-a-peek-into-a-GIS-file-21\"><span class=\"toc-item-num\">2.1&nbsp;&nbsp;</span>Take a peek into a GIS file</a></div><div class=\"lev2 toc-item\"><a href=\"#Points\" data-toc-modified-id=\"Points-22\"><span class=\"toc-item-num\">2.2&nbsp;&nbsp;</span>Points</a></div><div class=\"lev2 toc-item\"><a href=\"#Polygons\" data-toc-modified-id=\"Polygons-23\"><span class=\"toc-item-num\">2.3&nbsp;&nbsp;</span>Polygons</a></div><div class=\"lev1 toc-item\"><a href=\"#Geojson\" data-toc-modified-id=\"Geojson-3\"><span class=\"toc-item-num\">3&nbsp;&nbsp;</span>Geojson</a></div><div class=\"lev1 toc-item\"><a href=\"#Shape-files\" data-toc-modified-id=\"Shape-files-4\"><span class=\"toc-item-num\">4&nbsp;&nbsp;</span>Shape files</a></div><div class=\"lev1 toc-item\"><a href=\"#Coordinates\" data-toc-modified-id=\"Coordinates-5\"><span class=\"toc-item-num\">5&nbsp;&nbsp;</span>Coordinates</a></div><div class=\"lev2 toc-item\"><a href=\"#Converting-coordinates\" data-toc-modified-id=\"Converting-coordinates-51\"><span class=\"toc-item-num\">5.1&nbsp;&nbsp;</span>Converting coordinates</a></div><div class=\"lev1 toc-item\"><a href=\"#Geometric-opertions-with-shaped\" data-toc-modified-id=\"Geometric-opertions-with-shaped-6\"><span class=\"toc-item-num\">6&nbsp;&nbsp;</span>Geometric opertions with shaped</a></div><div class=\"lev1 toc-item\"><a href=\"#Points-in-shapes\" data-toc-modified-id=\"Points-in-shapes-7\"><span class=\"toc-item-num\">7&nbsp;&nbsp;</span>Points in shapes</a></div><div class=\"lev1 toc-item\"><a href=\"#A-note-about-efficiency\" data-toc-modified-id=\"A-note-about-efficiency-8\"><span class=\"toc-item-num\">8&nbsp;&nbsp;</span>A note about efficiency</a></div><div class=\"lev1 toc-item\"><a href=\"#Additional-examples\" data-toc-modified-id=\"Additional-examples-9\"><span class=\"toc-item-num\">9&nbsp;&nbsp;</span>Additional examples</a></div>"
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   "source": [
    "__author__ = 'Federica B. Bianco CUSP-NYU'"
   ]
  },
  {
   "cell_type": "markdown",
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   "source": [
    "# geopandas installation instructions \n",
    "http://geopandas.org/install.html \n",
    "I recommand the anaconda installation, and installing fiona and shapely first."
   ]
  },
  {
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     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "from __future__ import print_function, division\n",
    "\n",
    "#importing pandas for reading and parsing of tabulated data\n",
    "import pandas as pd\n",
    "#importing geopandas read to plot geographical information\n",
    "import geopandas as gpd\n",
    "#importing fiona to handle geographical coordinates\n",
    "import fiona\n",
    "#import shapely to handle geographical shapes\n",
    "import shapely\n",
    "\n",
    "import pylab as pl\n",
    "%pylab inline"
   ]
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   "source": [
    "# GIS type files\n",
    "\n",
    "We will use geocoded data with geographical information stored in 2 formats: geojson and shapefiles (.shp)\n",
    "\n",
    "Geojson: these are json format files with a geometry entry, called the_geom or geometry. The geometry entry is populated by GIS shapes, which can be points, polygons, multipolygons for more complex shapes). These are suitable for hybrid tabular datasets, which can contain all sort of information associated to a shape: e.g. zipcode geography and zipcode population. \n",
    "\n",
    "Shapefiles: these are not single files, but sets of files one of which is a shapefile (.shp) and are generally downloaded as a zipfile or tarball. The files other than the .shp ext\n",
    "ension are needed to read in the shapefile correctly, so although we refer to them collectively as \"shapefile\" and we explictly only load the .shp file we need the other formats as well. \n",
    "\n"
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   "source": [
    "## Take a peek into a GIS file\n",
    "lets take a peek at a .geojson file\n"
   ]
  },
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     "text": [
      "/Users/fbianco/science/Dropbox/randomprojs/smart_cities\n",
      "{\n",
      "  \"type\": \"FeatureCollection\",\n",
      "  \"features\": [\n"
     ]
    }
   ],
   "source": [
    "!pwd\n",
    "!head -3 NYC_shapefiles/Police\\ Precincts.geojson"
   ]
  },
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   "source": [
    "That looks just like a json file, but if I tried and print one more line I would crush the python kernel: \n",
    "\n",
    "the next json entry is the \"feature\", which contains the geometry, which is a very long list of points that design the permeter of the first precinct, and since administrative (and generally geographical) shapes can be far more complex than say a square or a circle this is a very long list of coorcinates. \n",
    "\n",
    "{\n",
    "\n",
    "  \"type\": \"FeatureCollection\",\n",
    "  \n",
    "  \"features\": [\n",
    "  \n",
    "    {\"type\":\"Feature\",\"properties\":{\"precinct\":\"1\",\"shape_area\":\"47182160.4145\",\"shape_leng\":\"79979.409545\"},\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-74.0438776157395,40.69018767637665],[-74.0435059601254,40.68968735963635],[-74.04273533826982,40.69005019142044],[-74.04278433380006,40.69012097669115],[-74.04270428426766,40.690155204644306],[-74.04255372037308,40.6899627592896],[-74.0426392937119,40.68992817641333],[-74.0426938081918,40.689997259107216],[-74.04346752310265,40.68963699010347],[-74.04351637245855,40.68919103374234],[-74.04364078627412,40.68876655957014],[-74.04397458556184,40.68858240705591],[-74.0443852177728,40.688516178402686],[-74.04478399040363,40.68859566011588],[-74.04627539003668,40.689327425896714],[-74.04680284898575,40.68995325626601],[-74.04747651462345,40.68961136999828],[-74.04772962763064,40.68991531846602],[-74.04758571924786,40.68998250682616],[-74.04743126123475,40.68980388996831],[-74.04.GeoF689205500591,40.69005909832262],[-74.04720029366251,40.69042481562375],[-74.04711050698607,40.69047041285008],[-74.04711582042361,40.6906558061182]..."
   ]
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   "source": [
    "Let's step back and take a look at more trivial shapes for a second:\n"
   ]
  },
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   "source": [
    "## Points"
   ]
  },
  {
   "cell_type": "markdown",
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   },
   "source": [
    "geometric shapes are defined in the shapely package"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
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   "source": [
    "#the simplest geometry is a point\n",
    "from shapely.geometry import Point\n",
    "pt1 = Point((0, 0.5))\n",
    "pt2 = Point((0.2, 0.1))\n",
    "pt3 = Point((0, 0.3))\n"
   ]
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   },
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"-1.0 -0.5 2.0 2.0\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,1.0)\"><circle cx=\"0.0\" cy=\"0.5\" r=\"0.06\" stroke=\"#555555\" stroke-width=\"0.02\" fill=\"#66cc99\" opacity=\"0.6\" /></g></svg>"
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      "text/plain": [
       "<shapely.geometry.point.Point at 0x10ec9dc50>"
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     "execution_count": 5,
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     "output_type": "execute_result"
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   ],
   "source": [
    "#points know how to plot themselves\n",
    "pt1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
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    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"-0.8 -0.9 2.0 2.0\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,0.2)\"><circle cx=\"0.2\" cy=\"0.1\" r=\"0.06\" stroke=\"#555555\" stroke-width=\"0.02\" fill=\"#66cc99\" opacity=\"0.6\" /></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.point.Point at 0x1047dbe50>"
      ]
     },
     "execution_count": 6,
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    }
   ],
   "source": [
    "#but without context that does not mean much...\n",
    "pt2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
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   "outputs": [],
   "source": [
    "#we can crete a geopandas GDF from these geometry point objects\n",
    "pointsGPD = gpd.GeoDataFrame()\n",
    "pointsGPD[\"geometry\"] = [pt1, pt2, pt3]"
   ]
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     "metadata": {},
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   ],
   "source": [
    "#geopandas GDF also know how to plot themselves\n",
    "pointsGPD.plot(color=\"k\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-03-20T01:43:55.537623",
     "start_time": "2017-03-20T05:42:08.196Z"
    },
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "source": [
    "## Polygons"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-03-25T12:11:54.028128",
     "start_time": "2017-03-25T12:11:54.022341"
    },
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "from shapely.geometry import Polygon\n",
    "#polygons are defined by straight lines joining points on their perimeter\n",
    "pg1 = Polygon([(0, 0), (1, 0), (1, 1)])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-03-25T12:11:54.041820",
     "start_time": "2017-03-25T12:11:54.030934"
    },
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"-0.04 -0.04 1.08 1.08\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,1.0)\"><path fill-rule=\"evenodd\" fill=\"#66cc99\" stroke=\"#555555\" stroke-width=\"0.0216\" opacity=\"0.6\" d=\"M 0.0,0.0 L 1.0,0.0 L 1.0,1.0 L 0.0,0.0 z\" /></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.polygon.Polygon at 0x1116a9510>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#shapely polygons know how to plot themselves\n",
    "pg1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-03-25T12:11:54.057690",
     "start_time": "2017-03-25T12:11:54.045453"
    },
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Self-intersection at or near point 0.56666666666666665 0.33333333333333331\n"
     ]
    },
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"-0.04 -0.04 1.08 1.08\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,1.0)\"><path fill-rule=\"evenodd\" fill=\"#ff3333\" stroke=\"#555555\" stroke-width=\"0.0216\" opacity=\"0.6\" d=\"M 0.0,0.0 L 1.0,0.0 L 1.0,1.0 L 0.0,0.0 z M 0.5,0.0 L 0.7,0.0 L 0.5,0.5 L 0.6,0.5 L 0.5,0.0 z\" /></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.polygon.Polygon at 0x111182110>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#polygons can have interior wholes\n",
    "#note also that the order of the corners matters\n",
    "pg2 = Polygon([(0, 0), (1, 0), (1, 1)], [[(0.5, 0), (0.7, 0), (0.5, 0.5), (0.6, 0.5)]])\n",
    "pg2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-03-25T12:11:54.401351",
     "start_time": "2017-03-25T12:11:54.063022"
    },
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11115b310>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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8XdI7k+4/r9jnuiDGyvnWRMQJ4NQFMbKQZL5uW2j/xM1C39k6L+9WR8Q3M5qpW5Ln7jzg\nPEmPSdovaUOBZrsduFbSLO3fB9mWzWiJDPr38gz+5fEhSboWaACX5T0LgKQlwGeA63IeZSHLaL+U\nv5z2K6JHJb0nIn6Z61Rtm4H7IuLTkt5L+7c5L4yIk3kPNqy8juyZXhBjEZLMh6QrgFuBjRHx64LM\ndhZwIfCIpOdov7ebzPAkXZLnbhaYjIjjEfET4Ee04y/CbFuAPQAR8T3grbQ/0FIEif5eziurkw89\nJxqWAUeAtfzmRMkFPWs+zpkn6PYUbL6LaJ/sWVe0565n/SNke4IuyXO3Afhi5/YK2i9N31GQ2R4G\nruvcPp/2e3Zl+PytYf4TdH/OmSfovj/QvrP6l5hj8Ktp/0T/MXBr574dtI+S0P6J+iAwA3wfeHfB\n5vtv4OfAk52vyaLM1rM209gTPnei/VbjMPBDYKJAs40Dj3V+EDwJ/GmGs90P/Aw4TvvVzxbgBuCG\nrudtZ2f2Hw765+qPy5rVhD9BZ1YTjt2sJhy7WU04drOacOxmNeHYzWrCsZvVhGM3q4n/BwqVecDY\nUN/cAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1116b40d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#we can crete a geopandas GDF from these hybrid geometry objects\n",
    "pointsPolygGPD = gpd.GeoDataFrame()\n",
    "pointsPolygGPD[\"geometry\"] = [pt1,pt2,pt3, pg1]\n",
    "pointsPolygGPD.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "source": [
    "# Geojson"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "source": [
    "Now let's load the geojson file we look briefly at before: we do that using the geopandas package, which interacts well with pandas objects, share many of the pandas functionalities, but has additional functions and objects that deal with GIS information"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "source": [
    "the main geopandas object is a geopandas GeoDataFrame (we have seen them before)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-03-25T12:11:55.670985",
     "start_time": "2017-03-25T12:11:54.404049"
    },
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "precincts = gpd.GeoDataFrame.from_file(\"NYC_shapefiles/Police Precincts.geojson\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-03-19T22:58:51.354036",
     "start_time": "2017-03-19T22:58:51.347236"
    },
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "source": [
    "GeoDataFrames look like dataframes in pandas: tabulated objects \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-03-25T12:11:55.719599",
     "start_time": "2017-03-25T12:11:55.673484"
    },
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>geometry</th>\n",
       "      <th>precinct</th>\n",
       "      <th>shape_area</th>\n",
       "      <th>shape_leng</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>(POLYGON ((-74.0438776157395 40.69018767637665...</td>\n",
       "      <td>1</td>\n",
       "      <td>47182160.4145</td>\n",
       "      <td>79979.409545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>(POLYGON ((-73.98863862848766 40.7229337202636...</td>\n",
       "      <td>5</td>\n",
       "      <td>18088797.9526</td>\n",
       "      <td>18676.1242594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>(POLYGON ((-73.99968392160721 40.7385522486597...</td>\n",
       "      <td>6</td>\n",
       "      <td>22131930.5198</td>\n",
       "      <td>27182.610113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>(POLYGON ((-73.97345324119571 40.7189628870822...</td>\n",
       "      <td>7</td>\n",
       "      <td>18363326.3567</td>\n",
       "      <td>17301.4925491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>(POLYGON ((-73.97160900246391 40.7267234011698...</td>\n",
       "      <td>9</td>\n",
       "      <td>21394013.3755</td>\n",
       "      <td>19773.4018725</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            geometry precinct     shape_area  \\\n",
       "0  (POLYGON ((-74.0438776157395 40.69018767637665...        1  47182160.4145   \n",
       "1  (POLYGON ((-73.98863862848766 40.7229337202636...        5  18088797.9526   \n",
       "2  (POLYGON ((-73.99968392160721 40.7385522486597...        6  22131930.5198   \n",
       "3  (POLYGON ((-73.97345324119571 40.7189628870822...        7  18363326.3567   \n",
       "4  (POLYGON ((-73.97160900246391 40.7267234011698...        9  21394013.3755   \n",
       "\n",
       "      shape_leng  \n",
       "0   79979.409545  \n",
       "1  18676.1242594  \n",
       "2   27182.610113  \n",
       "3  17301.4925491  \n",
       "4  19773.4018725  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "precincts.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "source": [
    "but they have a geometry column which hosts the shapes, which can be points, polygons, or multipolygons\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-03-25T12:11:56.362543",
     "start_time": "2017-03-25T12:11:55.722012"
    },
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     (POLYGON ((-74.0438776157395 40.69018767637665...\n",
       "1     (POLYGON ((-73.98863862848766 40.7229337202636...\n",
       "2     (POLYGON ((-73.99968392160721 40.7385522486597...\n",
       "3     (POLYGON ((-73.97345324119571 40.7189628870822...\n",
       "4     (POLYGON ((-73.97160900246391 40.7267234011698...\n",
       "5     (POLYGON ((-74.00138603698601 40.7628500950018...\n",
       "6     (POLYGON ((-73.98155997085217 40.7438818833470...\n",
       "7     (POLYGON ((-73.97464798076284 40.7533671226278...\n",
       "8     (POLYGON ((-73.96421230395677 40.7466043184766...\n",
       "9     (POLYGON ((-73.99393666655916 40.7731798458359...\n",
       "10    (POLYGON ((-73.94471650134327 40.7697865052794...\n",
       "11    (POLYGON ((-73.96933573385066 40.7852932795572...\n",
       "12    (POLYGON ((-73.94923186072994 40.7968730719466...\n",
       "13    (POLYGON ((-73.93224093714262 40.7896948816873...\n",
       "14    (POLYGON ((-73.95964685423152 40.8011564232564...\n",
       "15    (POLYGON ((-73.93804640603439 40.7808295442755...\n",
       "16    (POLYGON ((-73.94607828740384 40.8212632160622...\n",
       "17    (POLYGON ((-73.94131742369481 40.8077133463810...\n",
       "18    (POLYGON ((-73.94017085151192 40.8303844564390...\n",
       "19    (POLYGON ((-73.93444684733436 40.8359943485225...\n",
       "20    (POLYGON ((-73.9292876130438 40.84585098714959...\n",
       "21    (POLYGON ((-73.9292876130438 40.84585098714959...\n",
       "22    (POLYGON ((-73.90222284765609 40.8049481131900...\n",
       "23    (POLYGON ((-73.89833036270556 40.8024128209400...\n",
       "24    (POLYGON ((-73.88066051304018 40.8374980520049...\n",
       "25    (POLYGON ((-73.8389292661039 40.83442719875428...\n",
       "26    (POLYGON ((-73.90270221290083 40.8445829635918...\n",
       "27    (POLYGON ((-73.78833349834372 40.8346671302619...\n",
       "28    (POLYGON ((-73.89138023291916 40.8617005887647...\n",
       "29    (POLYGON ((-73.79322870948532 40.8828225949056...\n",
       "                            ...                        \n",
       "47    (POLYGON ((-74.00174362111041 40.6924067497054...\n",
       "48    (POLYGON ((-73.95829216807783 40.6798311334948...\n",
       "49    (POLYGON ((-73.96753196765664 40.6817687836175...\n",
       "50    (POLYGON ((-73.9385685484871 40.69884813554975...\n",
       "51    (POLYGON ((-73.91668638370811 40.6803713787894...\n",
       "52    (POLYGON ((-73.89658573270863 40.6823622732361...\n",
       "53    (POLYGON ((-73.97902894510879 40.7059481267708...\n",
       "54    (POLYGON ((-73.97892920137532 40.7059315898792...\n",
       "55    (POLYGON ((-73.92425716278299 40.7141194555085...\n",
       "56    (POLYGON ((-73.92467622369145 40.7198856964859...\n",
       "57    (POLYGON ((-73.83668274106707 40.5949466970158...\n",
       "58    (POLYGON ((-73.76669139771178 40.6142546554500...\n",
       "59    (POLYGON ((-73.81709738756589 40.7040298010850...\n",
       "60    (POLYGON ((-73.75121246970107 40.7073065795754...\n",
       "61    (POLYGON ((-73.88770199270428 40.7342913227585...\n",
       "62    (POLYGON ((-73.74629861901801 40.6364387994793...\n",
       "63    (POLYGON ((-73.82639242910476 40.6483243486165...\n",
       "64    (POLYGON ((-73.756697712923 40.72622871055659,...\n",
       "65    (POLYGON ((-73.96095347592636 40.7497692856769...\n",
       "66    (POLYGON ((-73.77060974520977 40.782079793942,...\n",
       "67    (POLYGON ((-73.83591564941987 40.7434308933934...\n",
       "68    (POLYGON ((-73.71351828238181 40.7598377308340...\n",
       "69    (POLYGON ((-73.83289066481898 40.7279498603024...\n",
       "70    (POLYGON ((-73.78478547486449 40.6179807218354...\n",
       "71    (POLYGON ((-73.94180032729426 40.7690469266246...\n",
       "72    (POLYGON ((-73.85907893495997 40.7625228322724...\n",
       "73    (POLYGON ((-74.05356753570328 40.6036964668284...\n",
       "74    (POLYGON ((-74.15945602438185 40.6414483333240...\n",
       "75    (POLYGON ((-74.05050806403284 40.5664220346634...\n",
       "76    (POLYGON ((-74.16982656393461 40.5610780036905...\n",
       "Name: geometry, dtype: object"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "precincts.geometry"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "source": [
    "geodataframes know how to plot themselves!\n",
    "`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-03-25T12:12:02.592718",
     "start_time": "2017-03-25T12:11:56.365210"
    },
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11177b390>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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AwaP+nDp/iGELVpMzT35NXfndSqKlpYXuewf0+Nh4RFHELnfubBnLo2vXEASB3s0GpFkG\nVy9di3JFf2P4ov6cPX+Wffv2YmhoiEqp4nX4K+wt1UJ37f4VHr58QHRMNEZGRpiaqP1AZ8+ejZ6e\nHgB2dnYolUpKuJXgyL6j+Pn58ejxI4yNjbNlHN8TklBK/PKEhITQsVMn2g+fhIFRjnRt5g7tDYCJ\niRnjBi8ih5H6OuPi1VMwzmGKd+NuPHp6j1yOav/CuLgYNm5fSo2m3qlEEtSzNUVKCra51MEptLW1\nAYh49Qprp2+76717wQKOrt9I85qtKFmwdLo2hnqG2Fs78PbtW5KTkxFFkTq16xL8/D62FnYcOr+f\nLUc2kqL4ePsmZ86chIaFoqOjQ58+fRg3bhwmJurvwNDQCE+3qpy9fQqPqh4cCDiAlVX6Wxc/KtIV\nRolfGqVSSfcePSlTvS65C6e/9H0X9oawkBcA9Gg/UiOSAF3bDcO7cTcAcjsX0Jx0z1o0ghxmZvzR\nIW3syoe3roMAed3yAqCtq42ugR73zn1bctJT27ZzdP1GOv/Rgzrl66drc/DCPiasHsmTl4+JjIxE\nW1sbHR0dLl68gLGhMTeDr7MhYC2HDh+iYsWKmnK3bt8iICAAAB8fH3bt2gVAVFQUp8+eIiTsBSev\nHOPK1SvcunXrm8bxPSIJpcQvS8OGDbGwsOTKjZuUr+OVro1KqWTNtLEYGRkxoPtkCuZzy7Tei1dP\n8PDJXbqNn5Xu+8vHD2NmZZZqWWxpZ8mjGze+biDvObB0KVVKVNO496TH+v1r+LNjG85fOE+dOnU0\nz5s3b86le+fJ7ZAHXR1dnJ2dOX36dKqy9eurxVcURdq0SZ3VZX3AGoyMjFAqlXh4eHzTOL5HJKGU\n+CWJiIhgx44dREVF8vxRMGPbN2XesL6cCditOcAACNzuR1Toa8qUqIJbkTKZ1qtUKljmOxP3KjXI\nmTtvujYPb1/HpWjq/UhDU0Pio6O+ejyiKBIfE0OVktUztd26dSuurq6pcvb4zPXh2dsnLNk+H2tr\na+zt7dm0aZPm/bLh6zQ//zO1tImJCZ6enhgZGGH5/sbSz8jPOSoJiUwwMjJCrqXF0g3HWbTuCLXq\nexMfGYnf3Bn08/Jg6YRh3Dx3iv2+K5EJWjRvkLU886s3zUWFijYDR2ZoExkeRlxkbCpBFvg238Oo\nsDBEUcTR5vN7nLXL1+PGjRtUr1491YzRwMCA0aNH8+T1Iy5dvoSOjg5Nm6ojENla2KGjrcOKkesB\nta/py5cfs1N36NCBmLgYfqtUkZ8V6TBH4pdER0cHJ0dnXr18ioNjbpp4dwO6aa4SHtq3keunjwPw\nOvElMxYMRSbTQqVSoFIpUamUqC8aCujq6GNoYIxcLuPStVPUatGWxLg4DI1N0nW+bj90PEvHDeGv\nUh2ZuHUS9rntSUpIwsA8rSN3RlwLDGT/kmV0m+eDqbU1t06eREdHF20t7QzLJKUkcf3BFQACAwMJ\nDAxMFS6uQ8cOdOjYQfP5Q99fh7+Pxi7/KBePHj3SuAKVKaOeafv6+jJx4kScnZ2zPI4fBUkoJX5J\nlEoloiiSmBif6rlMJqNm3aYYG5uwfuVMBvSqhK2NMRu2XEUmS0FHW4aOthxtbR1kcgFRBVHRCURG\nRnLpmvrAJ8BvDQF+awAoVr4SXcZMS9VGoZJlmLxhDyPb/EHfGr1Ze8uXty/DqFg+7d6eQqHgzeMn\nvLh3j+DLl0mMi+ftixe8efIEbS1tZnf4i9E7t3NpfwBONp8XqKAnd3j1NkTzefPmzYiiyJ49e4iK\niqJmzZrY2NikKhMcHEzevHm5eOccJQp8XHJXrlxZI7IuLi68fv2affv2YW1tndlX/0MiRQ+S+CVZ\nunQpPvOW0G+ET5pZn0qlZNyQtkRGvOHZ3dGYmhpkWt+FS0+pUP1vOo7rRGxULA27N2JG1+lcOnQR\ne5c8dB41mbiYaN6+CqFUVXVGxENbN7B37VJS3icdG7R2DW+ePuH87j28vHePhNg4lEolgiCgo6tN\nUmIythZ22JjbUrdCfZztctP77y4YWZgR8eo1fzXoRqXiVT/bz5sPrzPTdzLBwcHkyZOH0NDQVOJ4\n48YNiv7D8V2lUmn2MleN2kj7CS0B9d5kZGRk5l/0D4CUrlZCIh1EUSR//oL80bInBdOJARkYsI3A\n/Rtp3bwo0ybUS6eGtORzm4COuQWTd6SePb58+JLpnafz/P5TzTMzaxta9hpMkdLqGy5+82dwcs92\ndPR0UaSkkL+wA5VqFKZ0xfwUKe6MqZkhAKWd+tGgYlNql//Yp/vPgpi0agwAK0duSHVAkx5hkaEM\n9OnFhg0baNlSLXo3b94kODgYuVyOl1fa0/+QkBAcHBwo61aBBhUbM3zhABQKRaZt/ShIYdYkJNIh\nMDCQyMgoChQukeZd8L1bbNuwCENDHQb2qZql+nz9LvDkaTiLN6aNhuGQxwGfIz7cuxyEIJdhbm3O\ntE5TWThqAHoGBljZ5yQsRL0cbt6uAgPGNkJbO/3/LfX0tTl57XgqocznWEDzc1aE69CF/VSpUoUW\nLVponhUtWjTVLPJT7O3tefXqFXZ2dpy/foZyZcv9NCKZVSShlPjlmDdvPjK5FlGR4ZiafUyUdevG\nBeZM7g/AiMHVsbI0yrQupVJJzwHbqNSwCpYOGd9G+RDlXKVS8e5NBLny2lCrQUnu3XqBqYkVvYa1\np6LH5zM8Ouay5Pqlx4xYNJDo+CgSEuNJUSiyMmQNh88HoFQpvyjCjyAI6OnpsWrVKq5cucLIkRmf\n6P+sSEIp8Uvx+PFjAo8cQS7TYmC3hjjmykvTVj2Ij4thic9otLV1sLe3pmyprJ3cDhi2g+QUFd2n\n98iS/eyes4iPjmXv2akYm3xZgNtJ89syrPtqbB3MyJ3flYKuObGxN+WvxvMw1jPLUh1t6rQn4Mre\nL2p39uzZpKSk0K5dO9q1a/dFZX8WpD1KiV8GURSpUb0Gllp2/F7Bi/vP7uF3aB2PXgQjImJv60RZ\ndw9uBB3j78me1Kvj+tn63r6NxT7fKNqN7sDvHVLvZb56EoKNk20qB+z4mHjaFPFm/vruVK31bZGC\nAJRKFe4OfTA3tmR852no6ehlWiYpJYnOk/8EyHImyZ+drOxRSg7nEr8Ep06dolWrVjwJfkqtsuqM\nifmdCjC640TmDVwKQEJCHCY5zAA5b8JiPlufSqWiXtOlmNuYpRHJmHcx9KzcgzZFWrFx5gbN8+0L\n/RFFOH4we+5CR4TFoFKpaFGjdZZEEkBXW5eCzuolviAI7N37ZbPLXxVp6S3x03Pr1i0qVaqEjYUt\nA7yHpXKcBngc8ggBgXYt+6FSKVGkKHn7NjbD+k6deUhD7xXExacwfsvENO/XTFyFoakxeUq5scVn\nM1vmbkZA0MzgLp8NzpZxWdoYY2VjxoHzezOMFJQeTrbOBD29A8C0adOwsbFJdS1RIi2SUEr81Iii\nSC3PWnjX+pNa5X5P8z4qNoq5m2dS1r0qJYqW4+GTIBKTkgh7m5RufYuXn6RH/63IZDLW3FyHobFh\nmvZO7z5NtQ4tqNujHYlx8US/DUepUGFsYcbctn3IlTfjHN9fgiAI9BrxO2P7bODuk9sUylUkS+Xe\nRr3V/BwblkDp0qVJSEjQxJmUSIsklBI/Nc+fPyfkVQiHEg9ohHLhNh8u3jmHqZEZSSmJmJtZ07Wd\nOq2sqYk58fHxvA1PfWMnOjqRuo2XcO7CY3KYmxEfHcOfrq2Ra8mRa2vhkMeB4pWLo2+kR0qyAs9O\n3gDoGRqgZ/jRYV1E4OiBb4sS9E9+b1yGyUO3sOvktiwLZft6nSlbpDxFchfFSD8H7ca3wN/fH29v\n72zr18+GJJQSPzUPH6qXuTJBxpvwVzx+9ZgLt8/SvkcNVs4/hKGBEeOGLNQcuhjq5yAhIZ5N285j\nYaFNq2alMDTQoVTlWWjpGzJgzSoc8uVDFEUe37hBTEQE0W/DuXXyJAG+h4iLisa5aEG0/pE47J/0\nWjmLEVUaM2usPwPGNvrm8SXEJ2FoqEd8Utbz7RgbGlPO9WMAi6qlqnPhwgVatmz5UyYGyw6kU2+J\nn5ZDhw7R0rsZ9Zu5c3jPDV48C0MQBJq3r0R0VDynDgYzf+rWVGVehDxh+KS/ADCxMCM64h2iCC6u\nhem5ZMlnw4i9e/2a8Q0bM3zXKuzy5srQ7vSW3WweNwe30i4sWN8dE7PMr0hmRO/Wy3l8LwIn89y0\n/z1rEY4+5eHLYHwDVvLo+UMaNmhEvwF9qVQp45iWPxvSzRyJX5aHDx/S0rsZf6/qQKkK+Rg0oQkP\n779iv/8l2vWoSYU8A2jdtFeqMqIoMmOBOjNi0XLl6DB7FoqUFF7ev49T4cKZzrb2LFqEqY3lZ0US\noGLT+uRyK8yivwZRIe8A3ErlxdPLjXpNy2BpnX6+GVEUeRcei4mZIXK5Wqwvnr7Pgzuv+a18FbSi\nv8wn8wNvIl4zfvkIAOYOWMLqPcuoXLkyx48fp3Llyl9V58+IJJQSPx0pKSk0b9GEzv09KVUhn+Z5\nnvx29BxaH+9aMzAwyEG131K79SxdN53YeLVbkKGJWrC0tLVxLpK1vb9bJ09TvWPzLNk65M/DxBP+\n7Ju3inPb9jFj9DbWLz3JlqODMDVPeyPI1fJjSgmP2m7MXN6BJTMPMX7cJA4fOoxCmZKmzAdi42OY\nuX4yOto66Bvoc+3uVeytHPBwr0lhlyLkMDAmJj6a3rO6IJfJWbhwIe7u6ecE/1WRhFLip2PcuDEY\nmUGrzlVTPVcoFPT5cynXLz0it3MBXr56Sk77XABcv32eMxcO03t2H5YMW4w8gz3GjIiPjiE5ISHV\nwU1WqNurPXV6tiNg0VqOrtpM7zYr6DemHjb2Ztg5mJGcpEBHV4tjt6eyfcMZgm69IGDnFeqXG4+W\nXI+WLVsyY9oMPIt/FP3klGQOXTzA09BHnL9+NlV7O3fuxN/fH11dXUSVyCy/KTSo3AjfA6sBaNa8\nGd26dfuiMfwKSA7nEj8Vp06dYumyJYyb0yLVUvnqhYe42fTiWMBNhvSrjlzrHcMn/cXAMa05eGwH\n85aPo6JXJfKVyIeBgQEpKRnP0NLDwDgH+UqV4sq+wC/usyAIeHZpjZmNNc72BfEZe4Q2tefgatmd\nkg69WTRzH1a2JnTuXweT95GEKleqxnb/Xejo6DBw0EAOXtynqW/prgXE60TR933myA8BekVRxMvL\ni9WrV7NkyRKWLlvKiZMnOHX3GE526iubGzdupHzZ8vj6+pL8PvybhCSUEj8RkZGRtG7dkjF/N8fK\n9mOmxKSkFLo2nY9H5XycO9qfyeO8CLo6gntXR2JiosR3y3ySk5PpO7cvVg7WyHXl3Dl9hic3v+wG\njUtRV94+D1H7Um7ZQ6/CHhz39efJjbuamJMZIZPLqdO3I7eD7nHh3BVehYQSHh4OwIZlxzR2Flbq\ndLp/tmlPyZLqEHGt27QmIjachy+DEUWRq0GXWL5iOS1atEAUxc8m+ypSpAh3g+7SuXsnRo8ejVwu\n587tu/TvMwCnnE7I5XLWrFnzRd/Dz0iWhVIQBLkgCFcFQdjz/rOLIAjnBUEIFgRhkyAIadYqgiBo\nC4KwRhCEm4Ig3BUEYVh2dl5C4gOiKFKjZk2ePn3Bcp8ALpy6p3k3bfgWZAIc2NGV0u4fg13sO3iH\nBw/DEGQC0/ZMRyaToa2rTd/5/UEQWTNsOK8ePspyH2xyuxAXGc3EWq3xG6POwLh18jxmtehO/+K1\nOLhk/WfLK1NSSEr66Ohubm4OwLvwWIpYdGP+1N3ERCUAsHjJQo2dlpYW48ePY9aGyUzfMAGFQsHV\nq1ez3G89PT1GjBzBuHHjCAsLo2efHihFBTamduho6bB44eIs1/WzkmX3IEEQ+gOlAGNRFOsJgrAZ\n8BdF0U8QhMXAdVEUF31SxhvwEkWxhSAIBsAdoKooik/+aSe5B0l8K6tXr2b05AlU7dicY2u38OLu\nQ8wsjGjVqSqnA+8gJiZx6eSgVGVyFR7L8xfv8H++I019RzYdYdvfW3kd8oqSnp6YWFpSuUUzTK3S\nD6X24t59Vg0aTGR4OMuWLWP9+vUcOXKE5ORk5s2bh0qlYvDgwRSvWRn336vx7OY9VCkKqnf2Joe5\nKWFPXzLGm/GFAAAgAElEQVS3dW8OBxxMdZAiiiJDhw5l584dNGvelKioaAIOHGT//v24uLik6kNC\nQgJnz54lPDycevXqoa//dSfhAKGhoYwdM5b7Qffp1bcXDRo0+Oq6vneyLcK5IAg5gTXAJKA/UB8I\nA2xFUVQIglAeGCuKYq1PyrUEvIGGgAlwFignimLEP+0koZT4Fh4/fkzJ0qXosnQaOQupU8TGvIti\n54xFXNx9CJVShZOjGXu2dqFIITsAkpOTsck9Cru8TkzZOT1NnaIo0rdqb0hR3+7R1tEmJTmFUf5b\nMbezS2X7QSTnz51LyxYf90anz5zJoAEDNHavXr2idt262Nja8Fv5Cmzc5EfQnbua93N8fOjTu3e2\nfz8AI0eNIjAwkE1+fjg6Ov4rbfyoZGf0oDnAYOBDfk0LIFIUxQ9RQ18ADumU2wrEAa+AZ8DMT0US\nICwsjFKlSmn+LF26NIvdkvjVUSqVtGzdCo8OzTQiCZDDzITWk4cyYs9qACKilBQrO5XcruNZvvoM\n9ZsuJzo6kQfXg5nScQpvnr1JVa8gCOR1y8vz58+p1qw6fsGb0TXQZVLT5qwaNpzIsDAAngcFMatd\ne1wLFaJlixYolUpAHW286ns/xCtXriAIAvb29hwKCODg/gOMHj2aa1eucv/+fXbs2EHt2rXp1bPn\nV30HR48epWLFirx+/TrV83fv3nHmzBkEQWDSxIkkaelT1M2N4cNHsGbNGoKCgr6qvV+SD6dhGf0B\n6gEL3/9cFdgDWALB/7BxBG6lU7YisB7QBqyBe0DuT+3c3d1FCYmvYeq0aWLB0sVFn5uHxXl3jqb6\n43PriGhsZSE65s0vLjhwRhy7aotYtGxFERABseeihWKTQQNFcztbERAd8uQUBywcKPo/3yH6P98h\nlqhUQgTEEWtGiv7Pd4hbn/qLnSd1EU0sTESZXC46uLiIZhYW4tp161L1acWK5SIgzpkzRwwLC9O0\nB4gmJjnEuXPniikpKV895ufPn4vLly8X9+7dm6ru0NBQjU3PXr00z3X1DcRJvjvFBQfOiONWbRGt\n7XNq3tk5OKSqw87eXpwwYYJ45syZdNtWqVSij4+PWNK9lNimbTvx4cOHXz2O7wXgkpiJDma69BYE\nYQrQBlAAeoAxsB2oReZL7wXAOVEU173/vBI4IIri5n/aSUtvia/h6tWreNSoTr9NC7FwsE3zfuWA\ncdwKPMuUDbvRN1Q7cUeEvmF0u8a4eVSl7cQJGtuQ4GB2+szlwZWriKKKht0bcWLzcQwNDOnyd1cK\nlfmYpkGlUjHcayjeDb3p1q1bmhStV69epWTJkjRp0oRGjRqxacNM/De0Vfdp3Tk69diIqWkOKlcq\nR0vvDjRv3jzTWz/JyclUq16D4m5u7Ni1EyNzK+5dV+foLlO9FrER4Qzu04u2bdVBeVeuXEnHjh2Z\nt/cksnTy2ygVCgRB4F1YKDtXLeLy8cOUqFSNBzeuEBulzq7o3bo169etS1XuQz/rt+uCSqHgcuAB\nLpw7+0Mv57M9C6MgCFWBgaL6MGcLsE38eJhzQxTFhZ/YDwEKiqLYXhAEQ+Ai0EIUxVThUyShlPhS\n4uPjKVbcjYp/NaN0/Zpp3l8NOMaq/uPpPmEWhUuVA9QCN7ptY3SNDBiywTfdei8dOMD6cRMo4V6C\nGtVqMGPGDMxtLVh+cYXG5m1IGCMbjmDl0pXUrasOApyR0PXt2xsrk0cMG+iZ6vmb0GgCjz9g+uxj\nODoVZP6CJeTKlSvD8d6+fRtXV1c8GjQlKjyUVgNGAaCto4NcrsWpfTt4cO44F8+f482bN9jaqn9x\nzNt36rP30zPi5N7tJL54yHb/bZpnT548wdPTkwcPHtBn2jzyu7mzY8UCdBNj2LHd/4dNOPZvRzgf\nAvQXBCEY9Z7liveNegmCMP69zQLASBCE26hFctWnIikh8TW0aNGShw+CiY9SR/n+JzER71g7eDIV\natXXiCSA79+TiYl6R89FCz+tDoDQp09ZP24Ctra2vH71mlmz1C4+Ea/DNTaXAy8x3GsYQwcPRUdH\nh3z5XLCwMEUQBEaNGsnOnTt59+6dxt7NrQQLlp7h5JmHqdqysTamZVN3zh/rQ1l3bdzdi7F586YM\nx3vzvU9n+Vr16ThyCnr6BujpGyB/H4T44KZ1XLpwnmfPnuHqWhTnfAXoOm7GV4kkgGEOE3Zs92fu\n3LlUqFSJsuUr4OLiwoMHD7DN6USeIm4A1G3VkVtB99izZ89XtfOjIEUPkvjhOHbsGH80bIxz7oLc\nvnEBmUyGm2dlGg7pjrGFGRPr/okiUcn41R8jA507vI91MydSp3MnPNu3S7feUXV+JzYyEo/qHjx4\nFsycwz6IKhGZXIYgCDy69YgJ3uNZt2YtQUG3mTVrOtPG/0650s5MmnEQx5zmXL4awoXLT5k582/a\nt++ASqVizpw5LF0ymzVLmlO0iB36+mmvRy5bfYbdB8IZNnws5cuX1wicSqUiKCiIIu/vm0/y3Ymp\nZVoXpSPbNuK/bB66enokJSYycsl67Jxd0thlFaVSQe/fK6NnYEC7IePQMzBAS1sH+1y50dVTux2t\nmzmRoGsXKVC8NM/vXuflixdf3d5/SbYvvf8tJKGUyCoflri9Bk3Dzb0iKpWKgD0bOLx/C1GREWhp\na6NSKpmwZhumluq9w/jYGIa1rIeergGxcdEYm5lTuUUzPFp5I5PJEEWRE5s2cXnnburU8uTK/SsM\nXjEUrX/k1454HcGIBsOYN2ceBw4cYOXKlTy5MxbHnGmzH966E0KV2vOJjIzTHAaMGDGE/ft2c+/+\nY1xyWVO8qAP585oRFaMgMVHJxs3niYqORxRF4uPjNT6QH8Zb8reqOOYvRI3G3unuOX4gOTERQSag\nraObbd95Rty7dom5769Jbt26lcaNG//rbf4bSMnFJH4q/vlL3c1dHXhWJpNRx6s1sxbtpHnrXiiS\nkylbvbZGJAF8Bvckh6EJ86dsYd6kzbjmKU7AsuUMruLBnL86s7L/QO4cPMyp48fZ6LcRN4/iRL6N\n1JRXpChYOmwxf7X/i0uXLrB69WruXB6erkgmJCSjUokY51ALVadOnQgNDWXy5OlcvXaXyMhoNmzc\nTZXq7bkRpIep5W/oGbmhVMo140vPUbxE5Rp4NmvzWZEE0NHT+7+IJECB4qXoO30BZubmaZzf0yM0\nNJTExMT/Q8+yH2lGKfHDsHXrVvr2G8TwScvR1U2d3yUxIZ7+Xb0oWLIMXcZM1TzftXoJhzavY/qY\nNVhbfnQUV6lUHDy+nQ1bF1GiRAmOHDmCp6cnPXr2wG+rHxfOXMC5UC7ylMzD4fWHKFa0GFqCiIwI\nlsxtgksuizT9S0pSYGA1IM1zSC3yMTExDBs2jAULFmBibIpCmYK+tgFvI8Pw8fGh9z+czpOSkmjZ\nsiXbt2/H0MiIuFh10rMFB8583ZeYzSiSk5naqwOvnj7i4sWLGSYpW+e7jj/b/EmuPLlZvmQp1atX\n/z/3NGOkGaXET0FCQgKCINC0aVOa/dknjUgCzJjQG119A/4aOUnz7On9IA5uWkubpj1TiSSoZ6K1\nPRpTo4oXkZGRNG3WlEuXLmFtZc2B3QcIfRNKlzadMU8xY96ceTx+eJ+y7obs8/8rXZEEePFSPQu9\ndHIQoY8ns2pxK8qWUt8t/yCUVSpXxcLCghXL1afoI9qOo1eTASQkxVOkcBFNoIsP6Orq4u/vz7Nn\nz2jc6NtTR2QnZw/uZUBjT96Fv8GtRiVKly5NpXSC/b5+/ZpeffowcNMiPPt3xLvdnzRr0TyNg/z3\njCSUEt89Ou9jQ1pZ21G4aNpf/Lu2ruT5k/v0n7lQ46KiSE5m3rDeFCpQnOqVvTKsu2qF33n8+DEz\nps/gxYsX7Ny5jRw5DClXtgT6evqEhrxg9KiB/D2lLpPG1EVLK+Olb57cliijfSjhlhMLC0P+9C7D\noH7qmVO3bl0ACH7wgAmdp7Nk6BrWjNmEjbkthXIVYe6ApZTLW4mmjZrhUcWDs2dTx5F0dHT8z/cA\n42KiObBxNVN6tKV3/Sr4zp5EkSplmXZuF3/NHY++kSEODmkv6Dk6OiLT0ca5aEGKelRg8I7lRBtr\nUdi1CPPmzdPcZvqekQL3Sny3iKKIUqlk+fLlOOXKy6DRC9L4Kz55GMTubato0rUv1jmdNM8XjhqA\nIMLAbpM+rTYVVha26OrqYWZmxooVy7h5/ThBV4aye/9tZs0ci3dTNzYsH4yenvZXjSFfHvUJ9ZIl\ny5gzZy4hr0N4HPIQO0v7VHZaci0ql/CgQrFKnLx2jIZeDXEt6srkqZMpU6YMAF5eXiQlJWFg8PU5\ndr6UBzeucnzXVh7cukpsZCR6hgY4FyuEd6dBlKxTFS3tj99Lz1WzWNVzNBEREZrIRwA1PD1JMP5o\np2ugT71+nXCvV4OFk+axbNUKVi5d/l3nFpeEUuK7pUyZMnzYu27ephf6BqlzaCcnJzFrUl/yu5Wk\naoOmmufHd/tz/8YVxgxagJZWxpHKk5IS8Fk+hmZNm+Li4kLJkq706VoeWxtjOrevQOf2Fb55DPnz\nWmNna8yr19GaQ5rouOgM7bXkWni416BS8aqcuHqUenXrU6xYMSZPnUSZMmUIDQ1FFEUUKSmpROrf\nYNvSuQT6+2HpZE+p+tWp2qYRFjntM7R3KlIAt9pVaNSkMXt378HQUP33Nc/Hh8JFCuM1uBs6eh8P\nmuzyudB91Swu7AzAs25tmjRuwvQpUzE1zZ6859mJtPSW+C45evQo/zzg2+w7nz4d67Ddbykx0ZGo\nVCp8pg5EkAl0Gz9LYxf26iVbF/1NfU9vcjvnz7D+xMQEfJaNxtwiB/v27QKgS5cetO3si5ZJ32wb\nh46OFmcO9wNgyJ+jWDNmE7XL/55pOS25FtVK1WRcxylcuXSFsmXL8vbtWxwdHVGpVCiVikzr+Fb0\n9A0xNDFmzIH1NB7W87Mi+YH6A7qgMDOgSjUPTeDh1n/+iXORAqncrT4gCAJl/6jNkJ0rCYoIIX+h\ngvj6+vI9HDL/E0koJb473rx5Q7Vq1TSfV4/2Y/HQ1ZQtVI7D+zbTr3M9OntX5t6dq/SaOg/t93uY\nKpWK2QO6kdPehSZe7TOsX6lUsmTtZEzNjTh1+iThEVEAHDx4EIAOf5bP1vE4OZljZWHMuVunv7hs\nTHw072IiqPRbJSwtLVEqlRibmHDn0rls7WN6qFQKBNmX5fmWa8lpPmEg5kXzUrZCeZ4/f46WXI5b\n7SqfdW0yNDWm2dj+tJk9mlGTJ1Clmgf37t3L0P7/jSSUEt8VoiiSM2dOzec/qjRBEAT0dPRo+/tf\nLB22hlEdJ1Iiv3o/a8XE4Vw4EgDA6mljSYiNYXjfvz9b/3r/hejoC1y8dB4AS0sLjHMYYG3+jqtn\nBrNsfotsG8ucBcdo1XEN0bHxXL2XdRe4xyEPmbhmNAv8Z1O2TFlWrloJqE/rW3p7c/7QPkJfPufR\nnZusmDSSw1s3ZEuf/8nr58/IYZ7WVzQzBEHAa0Bn8nqUpcJvv3H61Cnun7+WpbIuboXpu2kh1uVc\nKVuhPCNGjSQhIeGL+5DdSHuUEt8VPXr0QKH4uKxsUCXtSW/enPno23IQoe9es2bvStbNmsDGudNI\nTkqkd6exGOgbpinzgV0BG3j2MogURQJJScmUKlWcp08ec/JQL1wLZ760/BIaea9gz/7b2FjYkN+x\nCGULZ32maqhvxIMn9xg1ahTe3t5YWlpq3k2eOJFx4ycwd1A3FEolCXFxXDkZSM7c+ShYsnS29T/8\ndQhm9jZfXb5ur/bkK1Oco6s2czPwNIeWb6TmXy0zLSfXklP1zya4eVZh1/RFrCtciEnjJ9C6detM\noyz9W0gO5xLfDS9fvkw1m2xZ609ql8t8Py9ZkYzvvlWcu3WGZEUS9rZOdGs3AqecuVPZBRz159SF\nfZibG3H12i2Kuhbg7dtwFvs0pF4d12wdS/9h25m36ARD2oyiYK7CmRdIh+AX95mwQh0lyNvbm/Xr\n12v27h48eEDbDh0Ij4+j+cgRrB01mti375iw1j/bxjCyzR8U8/yNJiN6fXNd60dM49z2AzQc3I3K\n3g3R0sn6QdSDC9fYNW0ReRydWblsOU5OTpkX+gIkh3OJH4bk5GTOnfu47+ZUpAB+B9fRfUZHNgas\nZfyKkRw4tzdNpCAAHS0dOnh1YenwNZgYmfA2/CUjp3RmwGhvjp7cg0qlYvu+tRw9s5O8+Vy4eu0W\nuV0ckGtp0bNLhWwXybPnHzN34XE6enX7apEEyOOQT/Pzhg0baNioETKZDJlMRply5bAt7U6XuT5Y\n2NuTz92d+NiY7Oi+hqTEBEysLTM3zAKtJg3B0NSE7dMX0a+4J8qUrB9G5StTnL5+CwgXk3B2dsbN\nzS3VquP/gTSjlPguOHToEJ6e6piN4w77YW5vQ3x0LLtnL+P05t3I30fwEUVwL1AG79ptMTVK7Uay\ndt9Kjl89zNO7Y0lKVNB36Db2BdxFFMG1SDGKFSvIOt+NWFqa8lvF39DVesP6la2yfTlnm3sU1sbO\nDG4z8pvrUqlUrNqzlBNXj2qe2eXJw18zpmNup445KYoiw2p44l65Oq36Zl+i09FtG1Ogsjstx6V/\nLfNreHL9DrNa9gBg3p2jmVireXbrHgs7DSIhJhZdXW0SEpIpW6YkS5auxM3N7Zv7JM0oJX4YSpdW\n7601H90P8/f7YgbGRhiZmyDIBHafG8OVEB/6jvLiUdgd+szqwqglg7kZrD4kuPvkNoGXDrJqkTe2\nNsY4O5uzfWMnxg6vjaOjHXV/92Sd70b09HSoWbM2D4Ovs3xBs39lz+vt22gaV8ueAyGZTEZHr64M\naTMKuVyL37t2ZbDvWo1IAiTFx5MUH0+Ddt2ypc0PmFhaEvoke0On5XIrTLPRaverN4+fZWqfnJiM\nz5+9KelqQ/Sr6cS+mUFK5Gw6tM5PzZpV6devDzEx2TuTTg9JKCX+c+Lj4+nUtQtl6tWkYvP6mufP\n79wnYIkvwyY1wcnFCplMRvueNTl2dwrrAwZhllPOrA1T6TGjIzPWTaR+XVe8m3+cGHTvt5mR4/fS\ntGkLpkyZBsDIkaPZtm07N28/p5zH3wQcvpumP1/CxctPmbvoOH0Gb6Nhi2WUqTILEVi6ff431fsp\nhXO7YqBvSGJcbJp3eoaG6OjpccR/Y7a19/Z1CG9fhRD+PCTb6vxApRYNmH5hD9a5Pp8+IiE2npnN\numCor03g3h6aOJ4ymYy/2pXn5vlBRIZfpnDh/Gzbtu1f9b2UTr0l/nM+3OCYemaHZoanSElhQccB\nlKqQD+9OHmnKFC+Vm3JVCuD9V2VG9vZFqVKx1fej7+TxU8Fs23mH2rVrM2PGTACWLVvGoMFDGDhq\nLlpa2vitmU3dRovVbY+vz4De1ZDJZCQnK1i2+gz3g8OIiIgjJiaJxKQUypVxYezwOiQnKzh/8Qln\nLzxh2JjdAFhYWmKUw5QcxnYUcrXm7q1LPHwRTJ6cedP0/UuIiY/hyMUALt09T0xsFKFP05+FVWvT\nioMrV1OtUQtymH65S8+nnNjtT3REOHlLFfvmutJD3yhjzwSAoDOXWNZjBCbGepw53DfdSO1Wlkas\nWNCME6eD6dK7N69fv6ZHjx7/Sn+lPUqJ/5Tg4GDy5VMfWvxzz2rb1AUcW7uVrgPr0m1QHbS0Uv9O\nXznvILPGbn8vrCI3LwynUAH1kj3o/hs86i5i/frN1Kypzqczffp0Bg8eTKsO/fHw/BiFJyI8lIV/\nj+Dls2AUihREEeRyGVpaWhjlMEFHVx9tbV3kWto8Dr6DtpacFIUSmUxAX98AUzNL2ncfRa7cBVP1\nb9yQdijjE5jSPWOfTgCFQsHLsBc8D33Gq7cvCX33hojocKLjo4mNjyE+IQ59A0Oci7pS1qsexapW\nTVc0RFFkQsPGmFva0H/W4qz/BWTAxrnTuXPtHOMOZ98sNasoUhQMLvM7tarlY/vGv7KUzmLlunOc\nPCeyZu2X9zcre5TSjFLiP2XkyPQPPOr2bEtiTCwr5x9myaz9VKhakFGzWuLobEV8fDKzxm6nfNlc\n7NvWjVdvoiiQTy2SoWEx1GuygrFjJ6GtrU2VKlUYOHAg9eurl/TrV/6dSijNLawZOWkZKpWKwT0a\nEfnuLc3/7EO1Wmn9Ny+ePUJEeCjF3SthY5czzft/0m3AZEb0ac7WQD8M9Qx5Hf6at1FhRMZGEpcQ\nQ3xSPCkpyahUKgRBQEtbBz0DfQyMjTGyssDZNjdWjo6UrFkTi3Qi8nyKIAiU9apH4Nr0k6Z9Ff+N\nyyIHl/giQ8R/Q9ZEEiCPiyVrNvx7t5UkoZT4T9m0Kf2EWvpGRrSaNIT46FjunjzPgwdvqV1yNC75\nbOkx5He8mpdl16bzTJl1kCnj1GHUEhKS+aPFKrxbtSM5OZkaNWqQlJSEXC5HT9+AcdPXEvrmZbrt\nyWQyZi7aoc7hnMEBT+nyWQ82a21tT7ESFdh9cju6+voYGhtjZGaGaQEn8tjbY+3khG3u3NjnzYOe\n4eeXoVnl1omTaKcTq/Nr0DMwRJGUnCVbpVLJ8XXbOLlhJ9U7Nue35hmHtcuMgCW+BCxex4jBNZHL\ns36E4pTTjOcv0v+7zQ4koZT4brm05wg3A08zduM4ilYsxtOgp6wau4LBnVdp/ClVKpHkZAU6Olq4\n/zaTew/ecPb8FARBoE+fPhrRq1C5DhZWtlhYpc3/DbB72yosrGypULlOtvW/x8ApDOzWgJyuheg0\nc0a21ZseAStW8OLefSzs7DlzYBfuVWqiq6//WeHPCJVKxZ1LZ9E1SJuSQqVS8eDCVa4fOsmzm/cI\nf/mauMgo5FpaWJrZsmWCDybWlhT1+LLIS2HPXrK482DCX75mxOCajB1e94vKW1kaERYW8UVlvgRJ\nKCX+Mz7dHx9drTnVOzanUss/iA2PxHfEVGq1qU3RiuoDBeeCzoz1G09ifCIbZ24g5HEI85edZvb8\nY9TwKMCb0DhOnTqlEYbkZPWMqFHLLtRt0CbDfkRHvWPnlhXY2Dlmq1DKZDLadBrMwlnDiXwTiqmN\ndeaFvpLrgccAUCWmsMFnOjfPn6bLmGkMbFST5KRECpcqR83mbchbJHO/wxWTRhL26iVDty9HFEUe\nX73Nue37eXD+KuEhbwAwNTHH3tqJoqXrULRQaQrmK4ogCMxYMAy/0bMoejLrQnls3Ta2T19I4YK2\nXA0ah62N8ReP39BQB21tOeHh4VhYpB+B/luQDnMk/jOUSqXmkKZLn/FcPHuE61dOI8hkgIi5jRmL\nzyzNtJ6jWwJZP3UdEaHvUonvihUr+Ouvv6jXsC03r50m9HUIci0tcuctzG8e9XF2KcDe7Ws4Eag+\nuV7sexQtreyP8Ti0d1NMc9rSY8G3uwwpkpM5ss6XwPXrMTAyYsyunQCsHzeeZ5dvMnPsWoZN7IhF\nLmdsnZw5uGkd9rbOiKKS16Ev0dbRxcbRGUNjE/QNDdHVN0BPzwBdfX109A3QM9AncJsf8Qkx5DA3\n4+3zEESVCjMzS/LndqVS2Vq4FnLPcJYaGxtNj6GN6TB7LMU906aF+JSDS33Z47OSUUNrMWbY1/+S\nUqlU5HadhP/2/V8cAFg6zJH4rpHL5cydO5fevXtTunw1SpevhlKpZP9OX3ZsXkbo81D6e/al1dA2\nuFdzz7Ceqk08CL4RzKMLD1M9L1q0KEVci3HskD9WNjnx8GxEQkIcd25cYInPmFQxHWcu3PGviCRA\nuy7DmDmxD6FPn2Ht/GX3lEVR5MmtW5zfs4eHl68QHvIKbV0d8pXIS9CFII1dvlKluB6o9hooWqgU\nBwL9uXH2BMWKlKFzm0EY5zAjOTmZwyd2cvveFeIiYoh9HUqyIhmFIgWlUolSqUChVJCclISWljY5\nTRxpVr0dJYtVyPJ3Y2RkTNHCpdk5a0mmQnllXyB7fFYyZ3ojenbJXFQ/x4o157C2sdfkP89uJKGU\n+E/R1tZONTuRy+XUa9SWeo3a8vD+LbasX8DkdhPR0dOlRsvqtBnRVpND5wORYZHsX70vTd0FChQg\nLjaWOl5tqOXlnerdg3s3mDam+/s2tfDfuIgOPUZ983jehr5iwayhREWGI5PJMTYxw9DIFESRuV27\nMnF/2n5+iiIlhcsBB7m4Zw/P7gahSEnB3MacQmULUaddLwqVKkRiXCLeBVsQ+uwZ1k5OFCpXlpTk\nZGLjY2jRsAuGhsboaOtSp3oTTb06OjrUrdGUujWafqb1b0OhUKBSKokKDf+s3YkNO9g6aS59ulf5\nZpF8GRLJyAkHOHr0VLqpfrMDSSgl/jO6de/O4kWLMnyfJ78rQ8ctIi4uhj4d63Bw/WH2r9lP8Sol\n6Di2I3Yu6rBoplbqO9/z5s3TlH337p0mb8vIqd5p6nZwzE2tei35o3knNq2bx7GD26lZryWOzl/v\nIJ6QEMeEYe0xs9KnZcdyJCam8CQ4lMiICKxsjAl7E0V8TCwGOYzSlI15F8mJTZu4eewooc9eINeS\n41w4F21HtsWjWTX0DVMLgJ6hHnYu9qwePoLBvuvIYWGBobExG7YuovOfg2lQu9VXj+NbWLdlPreC\nLlOyTtpLAqCeIa8bOuV/7J1lQFRr97evGYahu8suFOzCwG5R7G7FTgzs7uTYia2Ijd2N3WKAiqJ0\ndwyz3w9zxMOhheM5//fh+gR73zWbYe071votHp+5wvyZbZg5tVWB+hMEgdGTTjBq1FhsbApX3OSv\nFBnKIv41VFUU+VNq2TXOsdyBnatRlkpZceMaD8+e47KbG6PtR2Fe0oIek3rQ0NGe7mN78PzFT3FY\nLS0tpk2bxooVK5DL5Zn88dTVNenWVxHF0WvAeB7du8KGVdMYM3k5lsVK5/ukOC0tjYXTB6OqrsTp\ne7NRUcm8VLUrNZnz27bRxXkSABGBgVzYvoNH5y8AoKGjScU6FRmxbCiV61fOdQyz981hXJMxbHee\nzLfI/UcAACAASURBVLDVq2g5ZDCn/1jPwJ7jkEoLx00ov/wYc/l6mbf8khMSWdNrNKF+Xzl7bDit\nmlsXuD/3Y8/4/CWRoycKvhrIiaLDnCL+NcRicfrhi6qqGmrqmmjr6FGmXGU69xqBiqoql84cxuPA\nRka4rqVcrZ+itEGf/Ti5bh0+j5+goq6KXdu6vLj1kiMH3DOkkTAxMcVpwuJMkTN/JyjgK+uWTCQy\nMgyxWAkjY1NKlbXBsYcTuno5S42lpiazbO5IggP8uPh8IYZGWZ/azh6/n9PuD9ExMiQ+Opqk+AT0\nDbUQiSAiLJYazWoywy1/ikO+L3xx6TiNWm1b02P6dCY3bEQJyzLMm7oxX+0UJgePbebi9eNYVSrH\n4LXzMLAw5fmlWxyYuQxNNWUe3pxIcSv93BvKgbQ0Oa+9A2nbZQcnT56jTp06v9xWXg5zigxlEf8K\nfw1drFa+JralqxAY9p3giCB8v/uQkBiPuWVJAr754TBmJE37ZL2UTElK4sKOHdw/7UlibBzjx49n\n3bp1gGJZJhaLGTRiBrXrN0dZOfuMjAByeRofP7zh/Zun+Lx7zptXj9HW1mXWkp3oG2at9O3/xZeV\nC8YgkQjsv+BM6XJm2bYfFR7HYhd31DRUKFXWlNadamBqrojLvnjqCZOH7uLAu0OoqKlk20ZWPL76\nmCUDF6GqoU5SfAIALuNWUrF8tXy1U5j4+fuwyW0xQcHf0meZXRyrsH9HP5SzSDKWE4mJKdy47cv9\nR1957xPBe58QfD8GYmZmzIgRo5g8eVqBxlpkKIv4z5KcnMyiRYtYtGgRk/tMx7ZM1Qz3Nx9z5f7r\newBo6elRrk5t7Lt1o1jFrJdrcrkc5/oNefv2LRUqKGaPJ0+epFOnTgA0bNKOAcPzp9UYFPCVhdMH\n/zneJAD6DJpEk1adEQSBS+fcOXpgE9Vrl2bHiXFIpQXbybIr5UzZGtbM3JP/ZeSOOTsI+hLIpA2T\n2OKyhbued+jQug9d2g8s0JgKyo79q7jldYE5M1oz1yXv7j8BgdGcPveacxd9uXX3HVWr2NKocXOs\nrStSvnx5ypUrh5aWVqGMschQFvGfJjExEXV1dTZN24WG6s8wvqSUJJxdx6CnZ8R4pwVcuObBs1de\nhEeEIFFWplSVKtTt6EDlJk1Q+jOzX7CfH/unTcf/yxcAQkJCaNGiJUEh4YycuBAVFXWMTXOPmf47\n65dPJjzMn2/+P8Pj9A2MiImORC6XM8alHcOd8xdFkh2P7/kwqONaHJw6MmDmwAK1dengJba6bGac\n0zxqVK5fKOPLL0+e32HbvhUoKcnxujaBitbZz7b/Sre+e7l26wMODg60a9eBli1boqdXcEWk7Cjy\noyziP426ujpABiMpl8tZsHMmIrGYuZM3IJVK6d99LAa6Rnh47qJN78E8u3ON/fMWIMydj2mJElSw\nq0NcVDS1a9cGFBE5JiaKpfKG3ZdQVVX/pfGlpaVhZFaMF8/uY21bnAMXnbl58RV3r3tTpUZJOvaq\nm26oC4Oa9cqydNNAXEbuRsdAB8cRnX65rZa9W/Ls+hP2HvnjtxvKpy/vcfjkVoKCv6OuLiXs69J8\nLbfvPfiEu/vRdMX7/wJFhrKI305aWholSygSf5kYZIy9Xu+xhpCIYFbO25vuLymXyzl18SD123ak\nda8BtO41AEEQeP3gLjc9j/L47AVioyJJrapYvjs6OgJQqUptVFTy7lcnCAKffLy5dfU0772fEBYa\nlH7P9913UpNltOxQnZYdqhfo8+dE+261iYyIY/nMvShJJDgMdci9UjZYlrHi1e3XhTi67JHL5dx7\ndIVjZ9yIiAzDxs6WHjO68ccEV/YffsygfnXz3NYop3qcPn2iyFAW8b/Nhw8fkKXIWDVuPWp/MWTH\nr7vz7P1jZk5ci76eUfr1M5cPI5Ol0sVpXPo1kUiEbd0G2NZtQExkBIudenPr1i0A3r59h6mxJe9e\nP2HckDY0a92Vpq06o62T8aRVJpMRHx/L7auneex1lcCAr8jlaejrGqL2l1muRKJMamoqdUpOwtNr\nLqXKZS2sUVj0G96U1BQZa+bvQklZTNsBuWei/DsX9p7n2IajKClJkMlkmfQ8C4OUlGTuPLjM3YeX\n+fz1PXJBoKp9VVasWoGesWKp7PfWjxHj3WlqX5bixfMWg92+dSV6DfIo9PEWhCJDWcRvZ9u2bQSG\nBKCtqYOKsuKENykliVO3jlPMohTlSmd0HL5+9yyV69mjLM36NPiW51G6du2KlpYWXl5eREREsm7R\nYdJkMg4c3cTV8x6cOb4biUSCIAjI5QKCkDGbY+kSFRjWbwq1qzUiMioU57kKEY0ZE9awcoMLAM7z\nOmFmWTC3lrwyeGxLUpJlbJi9ndb92uRJl1Eul3NsvQcnt5wiKSER+94deXDyEkvWTWTO5PW51s+N\nhMR4vB5f5emLe/h98yE2NhplqZQS1iVwWjKcpj2aZRrngJkDeX7jKY3bbuDzm7l56semohkhoWEE\nBQVhavrPvpTySpGhLOK388N9JzklOd1Qqv7pIP31+yfiE+LQUP8ZvaKjpUd8THSmdlJTUgjy9+Pu\n2ZM8f/YUgC5dumBlXhKJkgSJkoTBfSYxuM8kYmKj8Pn0BqlUBTVVDdTV1NFQ10JLUzfTP/f5a0cB\nKGZZmgplK7N45naW/zGZ7WsvMXB088J/INkw3LkN65d6kpqcmqPLUGRIBAdXHeT28VvIBYF6XdvR\n0Xk4UjVV7Ht3ZqnjENZsnsmkkYvz1f/Hz285cW4v3h+eIZfLkcvlSFWkmJeyoFmfpjTp3hSrsjnn\nvQGYf2QRg6sO4Pip53TuWDXX8kpKYhrYleb27dt06/bPhVvmhyJDWcRvp1qVajSp1AptjYyO2VP7\nz2LbiY2Mm9Gd2ZNcUVVVw++rD+ERIUT7vWPBkO6UqlQFuSyVrz7vCfT/grmFJcuXL0NHRwdbW1sC\nAwNp3zyzpJq2li41quTtUKNksXIA6aIZpsYW1K3ZlLOX3bl/8z31mhQ8oiQviEQiEEHIt2CsyirE\nNARBwO+tH/HR8Ty+8oh7Z+4RFhCKlp4OTQf3pNXIfhmW2SalijF+nyuu/cazafdiRg2cmW1/MpmM\ne4+ucufBJT5/fU9ySjLmJcwZMHsgGjqa2NazxcAs/xJm2nra2NjZMHPBuTwZSoCa1cx5+PB+kaEs\n4n8TuVzOsxfPaFOtY6Z7lUrasnbCJqZumMCc5SOxsLCkZs2aTJ4ykZIlS5KSkkJUVBQmJiaYmJhQ\nvnx5DA0NSU5ORlf3Z47vsPCgTG3nh4Z1W6GnY0hoRCAAHqd3cvayO1raaozosYH+I5syaW6nPKcp\nKAiqqio8v/mc26du8/jyY/w/fCUtTY5YJEJdW5OydaszfNsgTEtlr0pUskpFhm9awqbh02jZqBNl\nSlZMvxcSGsClGyd4/uY+oWFBihjzCsXpMaUnLfu0RF0z/x4DgiBw8/gNkhOS0THUISosCkRiPvgE\nc/bCG9q1zl3hR01NmehEea7lfhd5NpQikUgJeAx8FwShvUgkKgkcBgyAJ0A/QRBS/lanDzDlL5cq\nA9UFQXhOEf+TvH2rSA8bnxSf6d6Hr+9Y7KbYxypVqhQfP34kPDyca9euIZPJuHXrJh8/+qAklnPj\n5s/8KIsXZ1xSnji3l4Z2rTHU/3Wh3PJlKvPp6nsmzOpFVHQYi9b3p1NvO3ZvuoLrwlMc3+/Fkk39\nadzqn8lS+INylSxwm78LAF0zY/otn0HVFvYo5fNwxrpBLUpXt2Xd1jn06DgMryfX+ejnTWJiAjr6\nulSqV4mxA8ZQsU7FX851LpfLObPzDEdd3YmPSUBVTUpqqgxlZQnGpooX2RhnjzwZSnU1ZRISMqfm\n/bfIs8O5SCSaBNQEtP80lEeA44IgHBaJRFuAF4IgZCsFIxKJbIGTgiCU/vu9Iofz/x1kMhnKygrB\niD1zFflyUmQpHLiwmxtPrqaX+/z5M0+ePKFrV4VMmIW5AQ3rlcLIUI0G9UoTG5fEiHHuyGSKWUft\n2rV5+PBhen2JRJl5UzZSzLJUnseWnJzEvUdXuX3/Ip++vEMqldC4tS2T53fOcIiTkJCCy4hdXD37\ngklzHBkyvmAKOD+4fv4F6xZ7EheTSGJCyp9Jx8Q0bm3DM6+PfPwQhNPGxflOs/CD6NBwZjVSPM8S\nFUpg51CfNv3boKmbWc0ov7y8+5LVI1aQGJ+IQ7fazFzeAzX1jPuqF04+YcqwnUT4L0NLK2fRjt0H\nHnDLS2D3noMFHltuFFpkjkgksgT2AIuBSYADEAqYCoIgE4lEdsA8QRCy/caIRKIlgCAIQqZNkiJD\n+X+fy5cv07JlS16/fp2reGp4eDi2NrYEBgVmuG5oaMjcuXMZM2YMx48fp0uXLrRuYY37nkFoamb8\npxMEAYnOBEZ1Hc+mo64Z7rWxc+BTgC8+X98zrP9U6tfOeACTlJTIl2+++H39wLdAP968e0p8QgyJ\nSYlIpcqUq2jBoLHNadWxerazq5QUGdXMxiJVkfAsoOAnygDdmi7lvXcA9bq2Q9vIALlMxuUdh5Cl\npAKgrCKlcf+udJg47Jf72Dx8GkE+H9nxaGehjDkqLIp1Y9fy6u5LGjavxNrdw1BVzT6mvl5pZ7p3\nqsIW1545tnvk+DOOn4ngiMepQhlnThRmZM46YCrwI7jSAIgSBOGHRPQ3ILf4sB5A5o0pIDQ0NIN8\nu5OTE05OTnkcWhH/NgcPHqTPn6IVNjY2JCcnZxLX/SsGBgbcvXeXUqV+zvZat27NmTNnUFJS4sGD\nB3TpokgXu3KxYyYjCYqDDpEILI2saFKzOdcfX0m/17JuW/S19Zm7bTq7DqzmzoNLhEeGEBMbRVJS\nQrrsmlRNFQ0dbcIjQ+DPCcPBi5Oxrpy7CrlUKqFdl1qcPfaIRVMPM2NZ9wLtWQqCQFhwDJXs69J9\n9oT065WbNeDRmSs0H9ITLf2Ch/H1WzqdGfaduXHsBo27NP7ldnxf+LJz7nY+PP2AsakubicnUKtB\nuVzr9RnehF2ul9i0NufnpVh6Z96e+bfI1VCKRKL2QIggCE9EIlHjX+lEJBLVARIEQcgyTMDIyIii\nGeX/XS5cuJD+84L5C3I0kj8oWbJkpuRioDAY69atBaBenVJUrJC1H93V6+8RBFBX1aB/2yEMaDs0\n0+xPV1sPv8BPxCknYFmrPOblSlHc1ppiNuVR1fh5SPHk3FX2TV9GWqqMrk2WUq+xNat2DEFHL+c0\nsiu2DaZyzZKsXXCSU4fuM2VRF7oPaJjrZ8+Kr59CCQmKouvCjKleLa3LYmld9pfazApNfV2qtWzE\nzrk7aNS5Ub72IwVB4PKhyxz74wihAWGUtbZg+9Gx2DXOuxfACOc2bF9zAddNN5k4JmtxXwB1dSkJ\nCQl5bvefJtelt0gkWgr0A2SAKqANnABakcelt0gkWguECoKwJKv7RUvv/9sIgsCJEyeoVq0aJUuW\nzFP5sLAwjIyMMt1zcnJi+/btAER+W462dtZ7WWqGzogEJdZO2pwhVvyvpMnTGLywN1OPbsOqYvbG\nJiY8kpkNO6OmqU638d04s8OT6LAoeg1pxLTFXXOdKcpkMlpVm0NQQCRvwrNXbM+K1FQZa+af5O5V\nbz76BKKqocHKh2fy1UZ+SU5IxMWuA51Gd6aXc2b197+TEJvAvqV7uXnsOqkpqTRqacuMpd1/2fl+\n2vBdPLz1jkDfRdmWuf/Qj0kzrnP/wbNf6iM/5GXpnetaQRCE6YIgWAqCUALoCVwTBKEPcB34kZBj\nAJDlZoJIJBID3VGckBfx/yEikYjOnTvnyUi6ubkhFosxNjZGJBKhqamJv78/AN+/f083kpVtzImK\nTsy2nTSZHOe+07M1kgBKYiW0NLR5duFGjmPSNtBDJBYzc89MHEd0YsfjXfSfOZAje+9St6QzJw95\n5VhfIpFQs77CEA/p5EpcTN5mQm4bLlO3hDPuu+6iq1YK+7ptSIr755ebKupq1HRogce6IyTEZT/W\ngM8BzO05m/42ffA6fYt+wxvz2H8d6/eNKFCEUr8RzQgJiSUyMvvPqq6u/J+aURbEEWwaMEkkEvmi\n2LPcCSASiTqIRKIFfylnD/gLgvCpAH0V8R/ExcXlz71CUZ72lA8cOMDkSVNYNGIlu2YfpHvz3sTH\nx+Ph4YFcLsfS0jK97MvXAZSsNA9dCxfaOG7mtXdAhra0tdW48eTK37vIhJmBOZ+evsq1nJaeDg8v\n/Tw1dxjWgX3eB6jdph6zxu2jVfXZvHrml2395VsGsffMJO7feseS6TnHKUeGx9Gm5hzWLjhFI7t2\nbFl5ivFO8xnUawIgwt/bJ9fx5pfE+HiuurmzqvtIJlVtxf3j5xGJRGyYlPkg6t2Td4xvNpYxjUYR\nHRjM6p1D8fq0mgmzHJFKC5apUi6XM67fFqpWtkAvh60NdTUpCYnZvyh/N/lyxhIE4QZw48+fPwG1\nsyhzGjj9tzp5lw4p4v8M5ubm6T+/e/cuh5KwZcsW5sycg3MvFyyNixEZG4G+tiLKY9iwYYwfPz69\nrLVtTfoOdkZdQ4vrl47jecyN7W5euK7skl5m2QIHRk44QucmPTHSzbyE/0E5q/LcfHMj189iXNKK\nd48yfgZlZWXGrhlH72l9WD1iJb1aLKd63TKs3DYIE/PMM6oadmWpYGPJ3Wve2fbz5vkX+rZdjY6W\nAa6LDqOt/fOARklJCW1tHR6fvZrjVkFeee/1lDvup/n46AWxkVGoqKhS3KQEvVv0o0HVxjx795jN\nx/8gLDAMQzND0tLS2OC8nlvHb1LB1hL3Sy7YVC9e4HH8lTkT9hMVEYf3g5xVyRV7lEmF2ndBKIrM\nKeKXGTduHKNGjeLVq1dUqVIl23K7du1iwZwFTOkzi69BX1i6ez5xiQpn4nv37nH79m02bNgAQO+B\nE2ja+meK1ZKlrREEgYTEFB4//YpNRVNUVaUMHWiH66abLHGbQ6u67bEuUZHiZpmX/tUr1OLsvdMI\ngpDjwUXpmpW55561K4qBiQFLTizj3WNvFvZbSLPKM+navwGzVvTIpMrTvH1VNiw7w5vnXyldwRSf\nNwFYV7Hkm184rotOce38S0oVr8CMCWuz3Pu0Mi+F78Nfi8eIi4ji1qGTvLx0m6BPX5DL5Rjrm1C3\nbF2a12mDqX7Gg7E6NvU4ev0wK4Yuo0bzmpzZ6YksOYXVO4fQqmP2edR/lXs33nLy4H2O7B2Irm7O\nET+KU+//zoyySOG8iH+cKVOmcOSAB18Dv6Rf09PT4+rVqzRp0oTo6Gh6DZyAsYkFlarUyWBAZDIZ\nR/at57HXZWJiYgDo2M6WQf3qUr6MEdY1lyBWUkJJJGa+03IsjDJ6qcnlcgYv6o3z4U0Ut80+wZi/\n9wdWdhuBh9+xHA9vPFyPcGStO8oSCSIxTFnUhR4DM550O3X9gyf3P6Krr0nQ9wikUgkpKTL09Qxo\n2agzrZt1y7aP3YdduXbbk/Xe17N/oH/5bN63H3LP4wyfHr8iPiYGdTV1SpuXpWHVxtSqWDfXgyjf\nb+9ZuHMOaupSmratwpyVPdHU/jWh49xoZjuDKhVNOHd8ZK5lU1JkaJtNI+VPH9J/kqJUEEX8J5DJ\nZJw9exZHR0cOHTpEjx49OHDgAP36/RSvWLj6AGYWOS/zkpISGDPwp5irlqYKKjr6jNu2jVX9BxIT\nHo5EooxMlkrFkjbY2TaghnVtpm2YgF2fDjhMGJJj++NsmrLo6BKsa2Xv7uLv48/4pmPZMWs/B87v\n5uazaxib6bJq+yCq1SmDXK6IFLI1UqTCbdWkCzGxETSs2xob69xnaQFBX3FZOBh1bS2W3juZydDF\nhEVw6+AJXl66TbCfPwhgYmhGtbI1aF67FQY6OWeMzIoJa0dQw744rnuG57tuXjl/4jFThu3i24cF\nmJpknaXyrwiCgIr+JBITk9Ijuf4pigxlEf85IiIiKFO2LAaGpiQnp+L/xYc5S3dRrGTuzsrb18/n\nwd3LdHaeRHJCAs8uXWTwipUYmCtysSQnJvLw7DmOr16DgYkZMZHhpKb8lB+o49iKig3rYmldBm1j\nA1TUVNOX4/FRMbjU60jn0V3o65JZfeivdLZyZGjHkTSs2piY+Bg2Hl3D+y9vUZIoIUtNo0QZE75+\nCqFKpTpMHJG9C0x2XLx+nANHN1O8SgW09PVIjIkjOS6ByMBg4mNiUVfToKxlORpVa0q18jULLM5x\n+/kNdp3ZykO/NZnCDguD+Lgk7CtMpXunarhtyTqbZlboWrjw7VsQ2tq5G9aCUJQzp4j/HAsXLiQy\nIoLBo+ZibVMDuTwNsTj3vDPRUeE8uHuZISuWY9OwAQDN+2c0aCpqaoR//46GljYL9hwDIC46inMH\nd/Hx1Qt877/kydlryFJ/LudEIhFiJSVEYoXBvHTgEvfO3ENVXRVVTVXUtdTR0NZATUMNJSUx5mUs\nEInFRMcp9DG1NbSZPmAevt98WLhzFiZGFhhrlaFq65Z0bN33l55RqyadefryLm9fvKC4WUnUpGro\nqOpStbINzWq1Ql+7cMWDG1ZtzKHLe1k+8yjz1ubdkOWVUb02oa2pyo6NOYct/pWEhBTkcn6LQlNe\nKDKURfxWGjduzLp167h19TSGRqYYmWQf+ZqSnMTCmUMIDlTkhtY3NU03ktnx6sZNilf4GWuuqaNL\n95GTMpWTy+XERUcTHR5KdHgoUeFhhAb4IxcEEmNjSIiLJTE+nvBv8QQkhREWGECaTIaqqioSsRJW\nJhnDHMtYlsXKpBjGplaMGZr/dLN/Z8ro5QwZ34aB7YZSyqJMgdvLjdZ123Py8DFmLO9R4LS7fyU5\nOZUnXj7cOD8uX4nYzl3ypk7tGmhqFlywozAoMpRF/FY6dlSE+z/yusojr6sMcJpKw6YdMpUTBIHF\ns52IiYlk6MoVhPr7U7N161zb19DVxfuRF9dPHqFO8zaoa2ad+1ksFqOtp4e2nh5WZXJf9u9aNpeA\nN94sG7Um2zLamrqERQTn2lZekEgk6Ojoc/v5jd9iKNvXd+T07ePs3ngFp4m5P+e88vS+L2KxmAb1\nMomG5YjH8df07vPP7Znml//GvLaI/xlCQkIy/L5n2woiwhXXvF89wv+LLwBTRnfi+9dPTHTbibVd\nXey7d0NdO/eE94169UDfzJTTu7cwpWsrxrW3Z9WEoZxy28wn75fERkWmH7jkh+iwUHTUdXIsU6N8\nLQKD/PPddnaULmHNjafXGL1yKDKZLPcKBUAsFmNlXIxHdz4Uaru+7wJRV8899v/vfPGPylWF6ndS\nNKMs4rdiYJA5lcDU0Z3p3m8sR/atp2W7HrzW1iMqIgyAA/MXMGT5cjR0czZSP6jRsiU1/kxz6r5s\nBQ9On8JAP5WHl09y2WM/gvzn4aVYSYySkhISiTISqRRlqRSpihpSVTVU1dRR1dCkun1TajVpSWxU\nBKX0clYVql/Fnr3ndhIcGoCJkXmOZfNC364jMTOx5PxVDx6+9aKe7a8JbuQVFWUVkhKTC7XNzz7B\nuWpPZkVIaAzGxr8uvFzYFBnKIn4rSkpKlClbFl8fH5KTkxk1ajQ7d+7gyD5FKN2ls+7pZYcOtMPz\n/Ftmt2tHRTs7esyYjpZ+3g8yqjZtzMMznuzxzLhHmRCfTGhwNKHB0YQFxxAeGkNkeBxRkfHERCUQ\nG51AbEw0b56+Isj/M4JcTlhQAHVK5ngwiqpUFU11LW7eO0f3jkPz/lCywUDfhO4dh/LslRcPXv/z\nhjJFloJ2FvuT7m63eHLfl4jQWKIi4omNTiQ+PonkpFRksjREgLJUgoamKvqGmhib6WJRzICSZUy5\nevY5TRvkb9kNEBoWXWQoi/jfplfPnixcuBAVFYUrSq1atdHT0+XSpUsoKytyaHfuUJUtrj3Y+oeI\nI8eeMmnGKea274B13Tr0mDEdbcPc/QVLV6+OPE3Ol4/BFC9tkn5dXUOF4qWMKV4q+39EmUxGk0rT\nCfnmz55VC0EQMNTLPlTyByXMSvLS+1GhGMofWJeryqMnN/NUNjYhlrnbp1HMuAR2tg2wLlEJTXWt\nHE+Pd53ZyivfZ0RER9KiV9sM98JDYlgw+RBqasqUKWVEKSs9TKtbYGGug5mJDnp66ohEIoKCY/j4\nKQy/L+H4B0Tz8c13Tkc/QCwWsWZZp3x93rQ0OcnJqaiq5n8m+k9RZCiL+O3Mnj2bjx8/oq2tTenS\npTly5BCXLl0CIPVP1x3fT5HIZHKUlZXo3qU63btU59jJ50xwOcG8Do5UqFOL7jNmoJuFVNsPTrsq\nlM+fePlmMJR5oanNTCLC4jAtVpzJa7dz7oAbbie2EZ8QS9v6WepPA1C7oh37zu/KV185MWuJE1+/\nf0JHUzfbMqGRIbz74k39KvaoKKsQHhVOYmocrz4/R5aaBoAIEIuV0NLUQlWqRkpqMl2a9KJymarc\nfHINx152BAdEMnhsywxtJyalYGisTUxUAq/eBPDqTQAVK5jiNLgeQwfa/SPuO2lpctLS0ggMDMTK\nKvd0uL+DIkNZxG9HIpHQqJE9w4ePyPL+1bNjqFHVCmXljO4kXRyr0sWxKic9XzB+6kkWdOxEuZrV\n6T5jBvqmmQV+X9+6TePWtjj2tsv3GOPjkuk1bhoN2iqMYhensegbm3BkqythMeH0bzM4y3p1beuz\ny3MrAUFfMTfNXSk9J67cOs3X7wrRrT+ct2Zb7vDV/Tx+84AqZauhraGDnW0DXnx6xIugDSQlpuB5\n5CHzJh0gTZ5GVEwUEAXA9pMbUZZI0NbRYPGG/lm2bVnMkJtvlwMgk6Vx5+obDu+8xZRZp3CZ48nQ\nAXVZsagjKiqFFz2jrKxE8WLG+Pr6FhnKIv53cXJyYseOHem/q6hIsC5vwdljQ/MU3uboUAVHhyqc\nPvuKcVOOs6hzV2wb1mfQ8uUZyumZmhIbnfhLsx5NLVVCA79luNbEsTu6hsbsWjKLiOhwJvSc+c7q\ntAAAIABJREFUkqmeirIKIpGIo55ujBs2N9/9/uDUhQMc83QDQCzKefzWxSvx+M0D0uRp+AV+4pXv\ncxISk1k+04Pewxozb9IBABb90Q+rkkYE+Efw4NYHtHVVkQsC9s1t8jQmiUSJxq0q07hVZdLS0tiy\n6jxum66yZec9enSpxhbXHr90wv13RCIRs6Y1Y9HC2TRpcqfA7RUGRYayiN/KmTNnMhjJbx8WYGSo\niUSSd2fkH3RoZ0uHdrZ4nn1Fp9478X36nDLVq6bfNy9bjjc3L/Pg9nvqNCxPdGQ8ocHRBAdEERIc\nTXhIDBFhsUSGxxETlUB0VAJxMUkkxCcTFhJNVFhIpj6rNWjMxFWbcZ06hnk7pjNr8EIk4p//Rj7+\nHxAEge9BCgGQlJSUPKXG+DtPX9xN/9ltzqEcy1qXULjRfAn0Y8epTenKTHu3XKNkWcVMe82uoRkU\ngTr0qJPvMf0VJSUlRk9rz6ip7Ti48yYbl55B38oF53FNWDi7XYGX5P161mL63HP4+/v/J2aVRbHe\nRfwWfgjzBgb+zLx48+I4Gtjl/0Q0K8pVXYy6VQUGL1uKXC7n/qnTXHJzIzo0LEM5RciiGIlEgkRZ\nGamKKlJVVVTU1FFV10RdUwsNLR00dXSp37YjBiZmWfYXEvCN5aMGoqmmyeIRK1FRVuHgxb1cfnge\nfXNTwr8Hoq9vTERECH26jqJVk84Z6n/0e8eJc3uYNGJRliGcb949Zdv+5URGhjN7yCLKWGavTykI\nAgMX9KRmxdrY2TRg/ZGfTvF9hzVj//arnLg9i3IVc8v/9+vI5XK2rrnAttXnUVNVxnVFZ/r1ziRX\nmy8cuu1h6PBZdOqUv8Og/FIU613Ef4LY2NhMwgYnDg8tNCMJ0KtrVZa73mD75Cl8ePgIQRCoYl+F\nns4uaGipsWX6VqKCk3DZsLtQ+jM2t2T+nmMsHt6H8auHoyJVJS4pjh5zJ2LTxI5ZjbphUbUsVawa\ncXDvFsxMrKhcsVZ6fW0tXV6+eYTrtnlMHLEwU/uVKlRn7YJDTF88mIU7Z9GrZT9a1m3Lez9vlJWl\nlLH8GU0kEokwMzLnsfdDhncaC4CdbQOevH9IYIDiRXH9/Mt/1FCKxWJGTm7LoDHNmTvhAINHHWTe\n0gsc3j2AWjXyJ/6blibn3oPPREZFExxcOJFOBaUoMud/ELlcTnz870sFeuhQxqWjLHodHdraFmof\nzuOakpqcwjfv1wycPRD3j0eYtWc2ZSqXwaykBcZWxiQlxBVqn+paWtjWbUhSShJJQgqLbx+jfncH\ndIwMWe99HacNi+g8bRSW1qVZt3VOhrpGBqb07TqaZ6+8ePbqfpbti8VipoxW7Lt6vb+N05L+LNu7\nkJX7M+foa1ZTkdcvKjYSqbIKXq/uoCJR4erZFwBcP/8my6yXhY2qqpTlWwZx9eUS9Ex0sWu6hubt\nNxIenv33TS6Xc+HyW2bMO0fn3nuxKDePCdMu06JVr/Q0yP82RYbyf4gPHz4wY/oMrKyKY6BvgLm5\nBeXLVWDw4CF8/fq10PtLSkpCJBIxfLgiZvfq2TGkxbjmOUXq5BknMSs9mxOeLzLde/n6O/OWnKPf\n0L00av0HLTpsAkDXRI+2gzLvkemb6JNUiMmqvvi8Y2afDjy4do4+i6aw8uEZNHSyPogK9PVDJkvl\n1Pl9Ga63bNIJA31j1m6ZReyfakR/R5DL0dHWwcfXB7fdisOd+cOWZir3Y59yxf5FSJWVadGiBbEJ\nsen3P3h/Y6Hzkd9iLAGMzXTZf34ybqcnceuuL8YlZzBqgnuG8FFBEDjg/hjrGiuYtegOqlp16TvA\nhYcPn/PsuTfz5y9ESyv3sNXfQdHSuwAkJSXx9etX6tWrx7Nnz5DJZMjlckqXLrwlZV4IDg7m1KlT\n+Pp+JCUlBUEQMDMzxcjIiIiICCIjI7lw4SJf/L5gV7MZowbMxty0GJFRYcQnxPHk5R0q21YhOiaK\nGTNmsHjx4kIZV1BQEMOGDUvPrBgalvcZ3eCRB9l36CHlrKvRra8b1apYcWTPQHbt92L77geEhsag\npaWNppY2WjqGKEulaGhGER+ddR+WZSxJiIslTSZDSVKwr73HlnXcPOVB6RqVcdq8GDWNnPN/zzm/\nnznNenDszB4a1WuLrs7PMM5ls3cxbGJ7Rk/rwkKXLRS3yiiAERwaQKlSpZFIJPj5+VGptC162vqK\n9BhJ8UTFRREVG0FcomLGtmX7ZlRUVGjRogVv377l0aNH1KxZEwsLC9o7tKFXizV06VeHtl1qoqH5\nzzt016pXliUbBzBthBtbd91j6657HN0/mE4dqnDH6xMz5l9m//7D2Nvb5yvH+O+m6DDnF4iPj2fc\nuPHs2rUzy/sDBgzAzc0t/fePHz9ibW2NgYEhO3fupF27tlnWyw+hoaH06tWLq1evAtCgbnPMjIsh\nkUhJS5ORkBhLRHQIOpr6qKlpUqp4BSqVr56t1FVgsD/TFgwCFHls7Ozy73v4A3d3d3r2zKg96Oc9\nDytLvWxqZKRz7514nnvNuGkrsalSh+/+n9m0xoXgwO+oqqlRo04TuvQcgbZuxnDGD97PWblwLO6f\nPDLlspHL5fQs052eY6Zi16r9L32uuOho1kweQWjgN3ovnEKdjlmmsc+Sl1fvsH3sbFSkKhgamjCs\n71RKFVekpvC8dAiPUzvR0dZl8YztaGvpIUuT8e37Z/z8fXA7tJbAwEB0dHQYNGAQZ8+eJSU1BYmy\nBBMjEwwMDDA1M8PS0oLlK5ZnOwuTyWRcvnyZLVs3cevWLdp1rk3XgXX/0b3LH3z5FELbWj/dpVxX\ndsHcTIcDHoGcOHnuH+8/J4oUzv8BPn/+TPv2HZCq6fD8yV06dB3M6aM/IzHqNmjF/TsXM9RxdHTk\n5MmTAOza5cagQQOzbDsyMpLLly/z6NFjPn32IyU5mXfvvDEyMqJp06YUK1aMvXv3cvfu3Qz1Fs3Y\nRjGLUgX+bE6THEhKViR0+tXvxY0bN2jSpAnNBw7g6p69CIJAnx412ba+J6qqOTslC4JAq46buXnH\nl8mzN1CmfMZ9zNCQAAyNzLKdeQiCwMh+TRi1chSNuzbNdH9Y7aHY1GpM91GZ9Slz4+ObV6ydPAIB\nmH/5EPrm+Yv0AYgMCuHoAlcCvH0ICwll1KCZ1K3ZhNi4aBauGUtMbBStm3ajmo0duw6tRiIVUaVy\nFewbNWT48OFIpVIEQeDbt2/o6+ujkctMNie+ffvG9u3b2b5jKxbF9Ok2sC4tHKqhksvfqCDI5XIW\nTT2Cu5siHLNNC2u09Spy2P3oP9ZnXigylIXMtWvX6NGjJy3a96Fpqy4IgoBYLCY2Jgo1dQ0kEmVO\nuG/j7Im9jJmyjO9fP3HCfVt6falUyoQJEyhVqhTW1tY8fvyY6Oho5HI5J06c4M2bNxQrXhpzq1KU\nrVAFJYkyxw9uISYmMsM4ypSsiO9nbyaOWEQ128LLBDxsYnuSU5KoVLESr9+8znf9Bw8eULduXaQq\nKiy/cQ0At+nT8b5zVyGeIBKxZpkj40Y2zlRXLpdj3/IPHj/7xvSF2yhW4tfStS6cPhhtcxXmH858\nkjy5rTNJcdCiax9SU1Ko1awlUmnOy09BEDi+bT3XT7pjamxJSEQg615c/qWx/eD6nqN4rtmGVFkF\nh1Z9aNu8Gz6f3rBw9c+UvStXrsTZ2TnLl4IgCDx69IjKlStniocOCgri7t27dOzYEYlEwr1796hf\nvz6RkZHo6mYOg5TJZJw5c4aNm/7g2bNn9HFqRI9BDdDV/2cEc33fBdCx/s+/jZmZKQEBgTnU+Ocp\ncg8qRDp37sKJE8dxnuWKtY3CcffHl1hL++cXsFMPJzr1cAKgao0GtHLozeE9rty4fIKUlBRWrFiR\nqe0OXQahpWfBnGWTMxmIBo3bMXNiL4ID/dm9/tI/Ko2fnKLIozxx0sRfqm9trUjKVesvWwuDli5F\nEAQ+vXjBuS3bmORykqMnXjCoXx369KiBVKpMWloatezX8PZDKHOW7c41yVhO1KjThPOee7O816hz\nY/Yv3cuh9ctJSU4mJjKcNr0HZdvWTc9jnHbbgiwlhf7dx2JbsRaT5+acTycvNBnQldTEJDz/2MlR\nz53I5TI0NH4eBNnb29OpU6dsZ86LFy9h7tw5tGzRkhMnT2QwlutcXVm+bBmVq1bj4P59fP/+HQAv\nLy/atGmTqS2JRIKjoyOOjo58+PCBufNm06bmfGralafP8AbUql8OJaXC+869fZ1RrzMwMIiPHz/+\n9n39/FJkKPPAtWvXOHHiONPmb6Js+cr5qiuRSOg7xJm+Q5xJSIgj8Lsf3i8fo6qmTkXbmsTFRlO+\nYrUc2wgN/k7Lxp1/W/6Q8uXL/1K9d+/eYWRujuOE8Rmui0QiSletytgtm3jr5cXF7dsZOfEow8Yc\nxspSj8TEVGLjZcxfuQ8j44LpOGrrGpAYn0hYQBiG5hkVhhyGOuAw1AGA0faj+Pz2NbKUFCR/i5x5\ncusqHhvXEB8bTcO6rejXfSxSZWn6iW1MaATaRgXLW9NyRF8iAoNRjUoihQgiQ78xZ84cmjVrhr29\nfbb1EhIS2Lxps8Kl5uIFQkJCKFbsZ0x5BwcHdu3eg3X9plSuXDl9zB8/fsx1TOXKlePQQXfi4uI4\nePAga2av4av/DtyvTM1RaSmvvHzix95N1zJdnzt3Nvv3Hyxw+/8kRYYyBwRBYNGixcyZM5tJM9fm\n20j+HXV1TUqXtaF02bzF1gK8eHoXQRDo0Lp3gfrOCw6telG1dhkaNMg5L012zF2wAPvePZHkkF7U\n2s4O6z8Pir68ecOdY8d5fuUqIOLNi4c0buGYrz6PHd7KrSsnSUpKJE0mQyQWUb1pDbQNc44ZL2VT\nkruedzn4xwr6T56FXC7H6+IZTu3aTEJcDDWq1Gdon8moq/9cgorFYpSUJPi9ekvlpvXzNc6/khAd\ni+fqrXy6/5wLZ89RuXLO36vNmzezfdt2nj1/xuTJkwkIVMwSb926lcFIAtjZ2aGmIsXQzII1J68i\nCPD26QPcPY4yZsyYPI1PXV2dr1+/8ub1ewDa1ppL1772jJjaCjOL/L0gAr5FcNbjIZdOvSQ2OgWn\nYcMZf3sCWlpaeHp68v79e3r16pWvNv8NigxlDqxatYoVK1cyde5GyllX+VfGcOzgFsqXtkVbK3uZ\nrcIiOjac5GQrBEHIt6vG8+fPefjoEdMmO+e5TvFKlSheqRK9Zs3kxNq1HHBbw8Wzhxg1cQlWxfO2\nFPv2xQepuoQJG13we/uFVn1boamT+/6a86YpBPuH8Oj6RV7fv01CfBxisZiaVRvSp/NIdHUzK7ED\naGposX3MLCrXq02jId0pW7d6vp5VxPcg1vQYRddu3Tj75mCuqVhv377NmDFjqF2tEQAPHjzE2MiY\n+Qvm07BhZiFfkUiEkbExUlVVlKUKvc/iZa1xd11OcnIyEyZO5PUbb2bNmE6rVplP7QVBSPeMsLW1\n5cKFC2hrazN1mjPdGq/AoXstxs10QC0H8YvU1DRuXHiJp/tjnj74SNeuXdm8YTf16tXL4I3g4OCA\ng4ND7g/tP0CRw3kOzJ49Gzv7Nv+akfyBiorab+knOVmxhyoWi5k+fUa+6h47fpzqrVshVc1/Xmix\nWEwXZ2fmnjyOmp42C1wGsnHVdFL+3DPNibLlq5CckIyOvjaaOpocXn2IRQMWsnRI5uiVv/Lo0kN8\nn/sgT0ujXs1mzJy4lp3rzjN68KxsjSTAstlulCxeHp9nr9k1fh5L2vTnnscZUhJzHmtiXDw39h1l\nboteREdEsnn9hiyNZFRUFBcvXkzX5VRRUUFLSxu/7+9o0qQJDRrUJyQ0hJEjR6Z7JqT8JXf506dP\nefLoEarqP0/EdQ2NsCpdlj179rB9+3bMKlWndevWhIeHZznW169fI5fLefnyJebm5mhqarJp41a8\n37xj75Yr+L4LQBAEkhJTMtQTBIE/Fp+mqukYPHa8oLvjcL5/C2Tb1h3Y29tnctn6v0SRocwGQRBI\nTk6mbcdfy81cGMjlcoIDv1K/dvPf0l/FclXR09NjxYoVVK6cvxDDN2/fYlKyZIH61zEyYuKuHQxd\nuYL3H14wdlBrDu5aS0IOoYfVatmTEJfAtA7T2D3fjfueDwn3i+PRpYeE+GcfJywSixCJxKyav49+\n3cZQrrRNnvaANdQ1mT91I38sdqdruyGkJaTiuWobsxp24egiVyIDMysOBfp8Zk23kQg+wbRp2xap\nVErC36KEUlNTWb9+PaXLlaVH394s//PQLyYmhujoKIKCAnlw/wH79igk0zp2dEQkEiESiVBRUaH1\nnxkqfxzevPS6naH99oNGMnbcOJQlEjw2rwXg+PHj6fdTUlIYMWIEYrEYGxsbKlQoT2zsz8gemUzG\ntGlTqGVnTUx0Ag3KTqN28UksmHSY5CSFUb9w8gk3zvpw/fp17ty+j5OTE2pqv+cl/09TZCiz4ccm\neFbKLr+Lx/evIQhQu3qj39KfsaE5hoZGTJ48Od/7Rj6+vhhZWRbKOMrVroXun6kerl06xrjBrblz\n42yWZc0sirNx92W2HbzFxt1XWLHhBLOX7ERVTY2Hlx5m20dl+yoIghylXzwgU1FRo5m9Ayvn7mN4\nv+kkJiRw8+BJ5jbvyT7nRXx88gpBEIiLjGb3hPksmDmbYx4enDt7luTkZHR0FMnSBEHg1KlTVKhU\nkW1H9jN082J0jQ3x8vKifv36GZb1CYkJKCtLMTI04u1bb0QiETNnzgRg//79AOntnt23g+iInzNG\nqzLlGbv0D5KSFDPf4uWsOXjYnbS0NKZOm4KxiRHevl5Mnq9QOfrwwQdtbW3i4uJISEigo6MDXwJf\nM3NlF2aM3M/xY6eIiIjg9JGHVLcYR2hwNBuWXmDTpq00btz4l57pf5kiQ5kNP75Qqmrq/9oYfN+/\nQkdb7/eddpexRUgTs2HDxnzXTUlOzvEQJ8/tJCWxondfIr4HsGz0GtxmH6Jx9Wbs2bqM2ZP6EByY\nOR2siqpapn1CA0NTXntl7wsqlUpRVVfl6UuvAo1XLBZTpVJt9m68QqumCt9aYyU1Dk5dwpSabVnQ\nojc9u3Zj2LBhmeqGhITQo1dPRjtPoKXzUJy2LkNZVZWvb304d/Ys9+7do1GjRpw4cYLx48dTvXp1\nPn/xJTQsNN3Vx8PDA0EQMDQ05MWLFzRq9POlmpKUmKG/68cV4iQVK1VC19CYmJgYTp8+zWH3fWw8\n5MSWIyOxKqFIrWFVzIoK1uUYP2EsNWpWRaoVy7Kt/XAZvpc5s+fSpEkTtLW1+fBBkd62cUUXoiJi\nado0s6P//w8UGcps+BH18N772b82BmNTSxKTCk/IITckEmWc+rkwZ85cFi5YSFhYWO6V/sTE1ITY\niMjcC+ZAUnw8S7v3JCE8iuWj12GsZ4JYLGaQgxMrx61HIodZk3qzc9OiXPNcW5Uox9d3OQt9GFkY\n4/2h8P6+fbqMZOqY5Xz1C8JI14wSxUoQGBDA6hUrM5WNjIykRu1ahElkTHTfRCX7OohEIkxLFaN2\nhxbMnz8fQRCQSCR07doVV1dXnj59ml7fxcUFf39/vL29069t3PjzBec4ZDRG5hln+PXbKnQdY2Pj\neHHvJpWsK+Dv749FMQOq1S7N21f+eOy5y6xZM5ClpiIT4jArl8iE+a3oNrAe7WvPp1rVOowZMw5Q\nzIb/KqobFRnDxYsZo9L+f6HIUOZCUEDhq+rklZJlKpKcnJh7wULE1NiSOc7rmTN3DkZGRumCFrlh\nU7ESQZ8+/XK/8TExLO7aHXliCivGuqKrlTEu3EjXiEXDVzCi8ziePbjJ+CFt8Lp9Idv2rG1qEBGU\n9WHFD0raluRb4OdfHjMotmgePb9NSqriYMPGugaTRy5jYPcJvH//Ltu468OHD2NhU47OM8eioq7Y\nxwvzD+Di1v18eeZNxYoV08suWrSIdu3b096hPcuWLSMpKQlTU1MsLS0zxO7/+Fstdz9Hi26Z5cms\nypZHS1uHyc4Kz4R9+/YxcOBAPvuE8PaVP38sPs2da6/R1zckMDCIw5en0XtoYxo2q8TWVRcID4uh\nsX3z9Nl7TEwMQPrpe8OGDaldu2Bivf9V/u8eQ/0GKlSwRiZL/df6L1aiHIIgEJ8Qi4b675ObMtQ3\nYYHLZuYsG4mTkxMdOnTAxCTn2OaG9euzekfejOrfiQ4LZ3mv3qhLVFkybjWqytmHFda1qUfNirXZ\n7bmdXZsWc+H0QcZMXoqRSUZhhyo1GuC2eQkJMQmoa2e9fWJoZsjd8F/LySKXyxGLxTjP6Ut4pOIA\nZ+/GK+n3fT9706B+w2y3TZSUlAj58o2LW/eTkpjEpwcv8H2h2CrYtHkzXbp0SS/r4uKS63ju3FF8\njnZ9h6AkUSYlKQnp38Ib42OiUVJSYsyY0SQmJeIybRq+vr707dOf3Ruu0riVLcqCEZMmTaLbgIYZ\nXIBadKjKrSuvGD58OPXq1cPGxgYdHR1mzpzJ4sWLOXjw4P8Jf8hfpWhGmQ1Pnz4lKDiYOvVb/Gtj\nUFZWRklJCd/Pb3973yWsyrJnw2U6t+tPw4b2uQr9Nm/eHN9nzwn288tXP+EBASzt3gNdVW2Wj16X\no5H8gUQsYWjHkSwfsw6SU5kxoScj+zUlJjoivYympjYSZWWeXMtaQ2DT1A0c33iMtLQ0YmKj8jXm\n/qObM3BsSx49u8XsyX+kXz9wbGO6y45txZrcuXubEcNHcO1a5miUQYMGMWXUOCqqGmJnVoa1i5YS\nHx+vEPYYMSJb38wfh4xfvnxBJBKxa5dCkOXGjRsAnN2/kzn9HZnRuz2jW9fDdepoosMVWyjGFlYo\nq6iipKSEuZkZDx8+pEqVKgwb5sSZow/Yu+kmggA21UowZ9VP9acP3t/TBYA7dK+Lra0tnz8rZuIO\nDg4MHjKEI8eOUbZ8eUQiEa9evcrX8/y/QJGhzIZ9+/bRuEUXdHLwqfsdpKWlcfLcvkzX4xJiuXLz\nFOeuePDm3VOSkzP78cnlaSQlJ6YrAuUXkUiEY9v++Ph8QFNTM0dFISMjI9auXs2Oic5EBAblqf3A\nT59Y3qsPpnqmLB65CmVJ/g6DTPRNWTJyFb1bDiA1NQWvWxn3x/T0DHl+6zmCIBDiH4LX2bscWLGf\nEXbDuHnsOh77BqGmpoLnpV8LnytbqhL6uobsXn+R+nWacfHaCQaMaUFwyHe0tfRYOXcPW7dtpVmz\nZkyZMjVDXWVlZUaOHMnyZcuYN28e7dq1Q10965lvfHw8/v7+vHr1CiUlJapWq4rrnznLhwwZgkgk\nYvbs2QC8f/+eiPBwQkNC6NS5M1FB35k/tAcntv3BS6/bNHRQzFQbNWpErVq1UFJSQldXl+YtmtKl\ncw+uXb1OakoqAf6Kl84Vz2d0tl/Mqyd+mBcz4InXR2rXrpG+whg7diy7du5EqWQJGg0djL6ZGe07\ndGDU6NFcvHgx/TsTHx+Pp6cng4YMoXiJEixZtuyXnvm/RdHSOxvCwsLR1S8cd5eCULNuE777+fLe\n5xXeH57x9NU9AoK+kpqaglRFFSWJhKSEBARBMdMQiURZGjSpVAWbCjXo5jAYC/MS+RrDkpnbmbF4\nGFeuXKFFi+xn2IMGDeLT5894rnOl7+KFOQrkfnnjzfoRIyljWY7p/ecUSLS1Zd02XH1yiSsXPPj6\nxYfIsGBioiOICA/hxtFArnsoZnRSqQRNLVVsrM04dH0cpibaBATGMGHacWSpqQzoOT6XnuDyDYVc\nnoqKKlqaimgpsViJ4f2no6NtwLnLR5gyfwB7N15BT88ILU0dYuOi8fngk22br169onLlymzatBkn\np2GIxeIMz2P37t0Zwg9fPH/Bi+eKGd6iGx5c2naQW4dOgiDw4MEDdu1yw8GhPd+/f2f79u1Mc3Hh\nyvHDXDl+mJlb9sP29QQGBqaHP5qYmHD50lVSU1OJiY7j0ydfWlWfnWGMcbFJ1KxZm1kz51K9enVW\nrV7NufPnefToEQDXdu+h3eiRuBw6wKPzF9i8fAWbNylU561KlOD716+Ur1GdUjVrYlGtKvPnzaOj\ngwOVKlXK9Zn/FyiSWcuGnj17o6ZbnAZNfk3ktbDwPObGKY+diMVi1NQ0kChLiYmOZPGBU+joK2a7\ngiAQFRrCt08+GJiao6ahiZqGBhKpFCUlCbKUFG6ePsrts8cJCwpER0efejWa0sCuFUb6JqioZHav\n+Tsv3jxkn4crV69dwcYm+1j1hIQEHDp2JDw1hb4LF2TpMhQXFcXsNu0oZlaChU7Ls2gl/0zbMJGg\n8ABKlzLB3FQLKytdilnoUqKEAU3ty1KyhEG2+4Unz7ykez83KpavzpTR2c90IqPCGD9TsSTt0LoP\nXR0GIZfLiYuPRkVFDWWJlIFjW2Juasmy2bsRBIHdh125fucMMTEx2R7sREdHZ5BAU1VVJTHx5yog\nPDwcwz/9SpWVlZkxYwbz588HYM2zi0yqpghF7NW7N4cOHkRFTZ3kxJ/eEr6+vpQpU4Ya9k0Z6LKA\nSR2b8OXLF8zMfmaY/Pz5M7Xr1CEsNDT9moWF+f9r77zja77eOP4+GRIhEYmQSIIgiFixSqki1Ao1\ngtaoWbPlZxU1a1S1Rq2W1mztkWqNIrZaIXaMBIlIIkP2kHnP748baabsQb/v1yuv1/3ee873PPe6\nPvec5zznefD19QPUKfSaN29OcHAw7Tt2RKt8eSLDw/FwdWXPnj0c/ftvHoeG4DhjOgBHfl6PpY0N\n5rWsSYiLo4K5eZrkI+d27yH07j1OOzsXWfhbVhRoPkohhCZwHfCVUjoIIayA3YAx4AoMllLGZ9Kv\nAbABMABUQDMpZZp1YkkUyqVLv+fI8fMMGT2zuE0hISEObW310cCHbjdYsXgSa45eyKZX5oQGBfDX\n1g24uVwiOioSkv/9hdBAT68s1tXr8nHngdSoZpOh7+ETu9j75ya2bNnC0KFDsxwjPj6r/UWwAAAg\nAElEQVSeXn368NDLE/thQzG1sqKciUnKDPPp7TusGTOWDxq1ZeTHY/P0PtJz5e4/bDr0M6+Cl+ep\n/6UrT/ngo1WMHfo1LZtlHguYlJTEsAlqUapn05jJY7/ltz2rOXtRnaHbvk0PTp3/C4A273+E+5N7\n6OuX5fCRQ0RERODsfJKQkBBsbOowfPjwNPf+8osvWbtuLc2bN2fbtm3UqVMnzevLli3jwj8XmDpl\naqbZhXbu3Mmib7+llH55EuPjCPX3w9fXB4DZc+bw46rVzN+yj9mDexEbE50hP6WpqRkBAWldJitW\nrOD999+nbt266OvrExMTQ/MWLajcqCFdxo5BqlRMad2G8PBwejr2oUrbtjRq3y5Hn3diQgKbJk+l\nXvXq7Pj99zzVPi8oClooJwNNAYNkodwLOEkpdwsh1gO3pZQ/p+ujBdxALaK3hRDGQJiUMil1u5Io\nlCEhITRu0pRm73emc4+SUQkOIPhlANO/6MO6Y5cK5H5JiYlER0bw0t8Pt6sXuXHhNIG+PujplaFx\n/ffp4zAUY6OKhIa9xPnsQQ477wayz4CuUqnY9ttv/LJxI15engQHvaSCqSkVLCxwu3qVqqbVmD1s\nAVqaBeP9CQ5/yeQfx5MUsSrP9+gzcBMHD93hvSbtiI2L4va9a8ydupqaVv+G6iQlJbH9wFpOnTuU\npu+8efM4ePAg+vr63Ll9h4jICJo1bUYlU1NuuLqSkJBEkwatkVJy/IwTkZGRlC37b/KO27dvs3r1\najZv3oyenh7R0dE8efIEHR0dzM3N08z4O3XqxIkTJ1KuK5ub4+vjw927d3F1dUVPT48uXboQFRWF\nmZkZffv1Q69qHRq2+pApvTpQu44Njx97MGToUFYuX46BgQGOfftyYH/aTONhYWGUK1eOqKgoHB0d\nKVeuHHv37uWHc2fQKlWKs7t28+fqNSQmJqKlpcWs/XupYJ7zshLxsXHsWbiQpNAwLl+8WGzHHQtM\nKIUQFsA2YDEwGegOBAGmUspEIURLYL6UslO6fl2BAVLKNx6YLolCCeps0TZ16/LVvPVUNC38uiI5\nIToynImfd2PFwVPo6BbOFysmKpLju7Zy7cyJNMfg9MoaYGxqirZU8eRx1j63zIiLi+PZs2ecPXuW\n7b/vIDAggGfPvWlg3YDW9dvRoGajfPkpr92/yoaDq4nN44zyNSPH72TL71fTPDdnymouuhznkssp\nOrV3xP6DHkz4ul+aNpYW1TAub4KJcWWsrdSuiVdxMZQtY0A5/fLUtLJBQ0OT2NhXTJjVDy8vzzQh\nV48fP8ba2ppp06bRr18/goKCcHTsi4aGBjEx0ejqlsahmwM/rlqJmZkZ4eHhuLi4vNFnDOoffGNj\nY8YtXM6rqEgeXnDG39+fD3oP4Mwfe5jy5TgmTkzrm01KSkJTUxOVSsXx48fp1q1byg9jvZYt+Hjy\nJG6ccObvXzcC8OLFC8zMzFhw5DD6Rjmri/QaKSWrhg1n15at+arTlB8KUij3A0sAfWAqMBS4IqWs\nmfy6JfC3lLJeun7/A5oAFQETYLeUMkOK76pVq0oTE5OU61GjRjFq1Khs7SoKvvpqOrfve9Fv8IQi\nH1ulUrFr649ER0dS0dSc+NhYTh8/gH55IxZsO1Akvp242FdER4Sjq1cGvbL6/LFpHSf37cDT05Nq\n1arl694RERE4OTmxaOFiDEuXp2/bAZhVyFvi3t3O23F1P8eLpxlLQOSW+PhEbJp8i9ezf38kqlW1\nwuuZOiRGCMGAPmPo1K4PiUmJxMREYqCfc4FYv20Jnw3ry+gxo1OeO3LkCA4ODmzdupUhQ4bg2Kcv\nkSFJDOo7nsSkRELDXnLs9H7+uXqCwMCANLPR9CQkJBAbG8v58+dxcPjXx962Rx+6f/g+NWvWZMjQ\nYYSFhlCvXj3u3r2Ll5cXK1au5MbNW8THxxEQEECgfwBCQ/AqJoZyhoaEh4UxY9dOfho3nojQf09h\nTZgwgdWrVzNk0UIatm+X6x+8Hz4dyOljx/KcMDq/FEgpCCGEAxAopXQVQrTNpQ1aQGugGRADnEo2\n6lTqRiYmJpTEGSXARx91xOngl0U+bkxMFAtmDCM8LASjipW4f+8aSYmJtOvdn4+HjS2y0p46uqXR\n0S2NlJJDW9fz7PZ13Nzc8i2SAAYGBgwdOpQBAwawevVqFi/6hs7vOdC5hUOW7y82PpaLt85haGBE\nSEQwL176EhQayBNfD2rXyl/W8deUKqWFx+3Z6BpPQUqoXq025Qz18HrmSY/OA7l++wJ/HdtOOf3y\ntGjaPlciCdCoXgt27dqdRigbN24MqAPHhwwZwvc/LKXth+3Ysf8nmjduS3BoQMqOe3qCg4Px9vam\nYcOGfDV9OsuXLQOgTCoxnfPLTpaMH8L67xdTu3ZtZsyYzqlTp9m/by9eXl5YWVnRrN1HVG/QjMpW\nNTEwMsagvBFHf/+VU057iI6OZsWlf3jx5GmKSH4ycwbapUuze/0GALbNnsM3h//CwDhnIXWB3t4s\n6a8OUs+qOmhJIdsZpRBiCTAYSAR0UW/K/AF0Ivul9ydAFynlkOTrOUCslDLN4deSuvROSkrC3r4D\nxma16NrzsyIde9miiTx/5sHcjbspW67wk/a+iaSkRHavWsqrl/6cOH4sZQe2oPH29sahmwO25g3p\n0iJjQtfImEi+WjuBmOQdXQ0NgZmpIaYV9bG0KMfkL9vTqmX+q1HeuPWcZm2WpVz37TEcb98nePt5\nEBkZyaA+49l/eAvRMZF8P3cb5QxyJ5TxCfGM+6onISEhaSop7ty5E3t7+5Qlubu7O19Nm47Xs2eU\nL1+epk0bM3HiRCws1GFr4eHhLFq8mF83biQ81QzPtllLtLS11bV0VCq0tEvh6/WUwZ/0ZcGCBWls\nuXnzJl0dHPD3U+9up/d9j+/8PgBCQ4MVF9UbiAFeXqiSVJjVyP1nrVKp8Lp7l6e3bnF2126iw9XH\nIM+dO/fGEhiFSYHMKKWUM4GZyTdsC0yVUg4UQuwDHFHvfA8B/syk+3HgKyGEHhAPfAiszM2bKC6i\no6Pp168fz30D+PTz+UU6tvvDOzx0u8HkZT8Xu0hGhYexZsaX6GgIbt68kWWIS0FQpUoVDh85jF0j\nO3Yf345t9QZ8NVidRiwkIoRZP0/BsEJpzl9Zwta1zqxf9jcqlYpVy3rTsnn+cmGmJiZVQtpWLapz\n4PBWxg+fTd1adhw4soVNO1fQunlHLl0/ifvTezRrlDHT+JsopV0Ko/ImbNmyJU185IABA5BS8ujR\nI2rUqEGtWrU4+OcfWd5n69atLPtBPef4fPa3/LFpHS9f+FLVpDx9+/alVKlSaGlpERcXR2xsLAMH\nqjclpZSsX7+ecePGZbhn+uz2k5b9xMqp47BMtSyulM1qQqVSERUairaODrplyqTcz8PVlUMrV6FX\nqhRdOnWi+eQpeHp6UsHEpEBWKIVJruIoUwmlgxCiOmqRNAJuAoOklHFCiB5AUynl3OQ+g1ALrQSO\nSim/Sn/fkjajTB23tvKXw2mqLBY2CQlxTB3bE0vrOny5JO87uAXBq+go1s2cQE+Hrvzw/fdFtjza\nsWMHgwap9/+WfvEjfkE+rP9jDeZVjXC68DXa2urf94iwGCYO2cC1i+5071KfP3aPzHCviIhY9PS0\ncp1dW9NAvcHhcXsO1g3Vfs+hn/wP2zqNWbj8SyIiw6lSpQpN6n9Ir65Dcv0e5y0dj6f3ozTRAyEh\nIQwZMpQzZ85QqlQpdu3amWm5htdIKTl79iz29vZIKRm/aAXrZk9OeS0zgoKC+HLCBPbsVkcvNGrd\nllv/nAXAccz/aNezX4Y+34zoj2X9ugyaNxdQZ3nyeeROyAs/IkNCiQkLIyo4hMjgYMKDgnjp70+Z\nsmWIj4tHJSUVzMyIiYwkIS6OHb//Trdu3YrMdZQTlLreeURfX5+oqCimzllNHdvGhT7e9wu+wN/P\nm4T4OOJiX6Fbpizf7vgzpeZJcSCl5IsurbCxqYub270i/2KnH69d54as/n1UphtYV849ZETvVbT/\nsBb+AZG8DIkiMjKW2NhEpJR07VSXQ/tGZ+j3Jl4L5WvGj2rNT79exOGjT6liXp11mxfx3nvvYVW5\nIc3sPmDK3MH07zWamtXqsGbjNwwfMJnGDd7P8v4hYS/536xPiI+PR1tbm4SEBGzq2FCjSn0+6T0G\ntweu7HBayz23uxjnwOe3efMWRoxQx2Z27daNI4cP/ztWSAi6urosXbqUBQsW0LZbT97v1hvz6jUB\ndWytdimdTFcv8XFxfDt2MHHxsTRq15Znt+8Q6ONDHVtbaltbU9nUFFNTUypXroyZmRmVK1fGwsIi\nZbMpJCQEX19fDA0NMTExyVCHvCSg1PXOI/Pnz2f3vkNFIpIhwYG437+FfZ8BGFaogIm5JbXqNy5W\nkYyLfcXuH5dQvrwRO3ZsL3KRTJ/TcMzULnw5s0eW7Zt/UIs69SwIjk7AsrYZraxMqFHbjNr1LFi5\n8CB+L3KX9CIzaliZUK2KEYeOq8+FGxjoc+PGDa5evcreP9VhMnv+2JDS/scNc9NkE0qPkWEFatW0\nwcnJif79+3P48GG0tfQY1Fe9FG9g25ydf2jg7e2dI6EcPnwYw4f/W6NcpVIx/5tvOOD0B4893ImP\ni6NRi1bM3rADs6pp3RTlTdQ+0VfRUXg+uIfPE3cCnnni6/mYQD8ftLS0MChXjm5Nm9F26jQaNWqU\n4wBxIyMjjIwKZpOtOFGEMhOio6MpV75wNixS89DtBj9+NwWL6tb0/jxnpUQLm7jYV/w0cyItmtpx\n7m/fYpkBWFtbA6BXRgeXZyvxeOBHrw8WM3NJX5q3rpWhvYaGBgfOzcr0XhVMDPB+9ILExCS0tDSJ\niorDPyACH78w5iw4QunS2tSsYUKrFtXR1takoklZ6tetTJDXt2z+/QrT56hP2kyemdZXWEZPEBGh\nTsF35MgRjI2NGTJkCG5ubkRFRWFgYMBn4zvy2zrnLN9nl/afMH36DPr374+5uTmxcepNquiYKI6f\nOYC+QdlsS9mmJikpCRcXFw4dOsTBP/8iAQ26Dx/HmDq2REWEpxx5jYmMwNvjEeEhLwn08cbvqQfP\nn7gTF/uKhnaNea9pE3oPGUDDhg2xsbEp1lMzJQVFKDPh0qUrVKpcJ/uG+eCM8x/s3LwCu9btGf71\nguw7FAEJ8fFM7mmPiYkJv23bVmQzyaioKJycnHBzu0fZsvr4+6uP0sXHJTKk2yrcbnsRGxuHsYk+\nD+48p1x5PSpb5iwEpXUHW5x2XELHaDLlDfUIDcuYMf7UWXc2bLqYaf+OHdrg6+ePt7cvUVHRVK1i\nwjPvIF74q3drJ0wYn1LY63W28X83vLJ2a0kpuehyguHD1LNAW1tbQkNfMmnOAIJDAunW1YHDhw+l\n8Qu7u7uzafNmfHz9MDE2xsqqGomJifj4+LD/gBOBAQFUrlIVm2Yt6TpyAtVq10VDU1Od0zQiHJdT\nx3jkehlvD3caNGqEpaUFTWrWZOynvbGzs6NSpUqKKGaB4qNMx/3797G1tUWvrD66pfXQ0tRCQ0OT\nyhZW9PvsSypUMM33GFJKPv/0AypXq8Gs9RlTqBUHgX4+/Dx7EkEv/Pjrr7/SBCqnxrFvP4yMjfhl\n/foCGXfr1i1MnjIJu+Y1qNfYgvhYFeGh8bzwCeassyulSpVi0KBBKXkXAWZ+25dBo3NemyU2NoEg\n/zC6NJ2HQ2dben/cEJWU3H8QiNuDlzx49IJXsXFIKZESEhOTsGvUkBPOZ9NsAkVHR+Pi4oKz8wnO\nnz+LtbU1I0aMonXr1hnGfP0jk375LaXk/qOb3Lh7EU+f+9y7dxcdHbWb5fLlyyxbtoy2bdvy5Zf/\nxu4+fPiQufPmc8L5BO917IaJeRViIsKJCAlCQ0ODMuWMqFbHlqq1bFKS9SbEx+F+5yYPr13m/vXL\naAjo7uBAj+7dadeu3TtTHbEgUDZz8sDrExIfDR9GZEgoiQnxJMUn4Hn3LuGBgTRs0prq1nUpU9aA\nNu2z9ptlx+njTuzaupIF25wwqvjm7OGFjdu1y/w0R10ewM3NLU0ZgvS8FoCC+N68ePECm7q1+O3I\nZGrWMcvwup9PCG43n/Hwrh+P7/tz8u/r6JYuxRXPFWhr534HvmerBdS2MuLPPW8+9fXqVTxmNefh\n7e2bJnFEbshsNl7ByIS4hHgSEuLo3KkzK1auwOoNJX7d3d2ZO28+x08cp02PvrTp7kjpVHGX6YkM\nC+HO5Qs8vumCm+s1bOvXp2eP7nRPTmdWknaaSxLKZk4e2LR5M407dqDL5xlDTY5v2syxjZu4d/sK\niQkJBL7wwXFgxli0nNC+U2/On/6LRaMHMPfX3RhWMMm+UwEjpcTp1zWcdtpNz569+PbbxSn+wayY\nMHEip0+fzhBvlxfKlStHfHwiZhaZB2xXtjCisoURHbvbJT8zIl/joSG4fuM5wcHR+L4I49RZd+Yt\n/ptRw1qhqQkRkbGcOfeYunUqkZCQyOXLl1OqHeaWqKioDMcMv1+2lK5du2ZbVuPp06fM/+YbDh06\nTJuPHZn9654sBTIpKZEHri64OB/h0S1XOnfuzMTRI+nUaV+ONoEUcoYyo0yHVc2a9JkzG4vaGTcN\nUnP92DF2LlhEfbuW9B04DjPzarkeKykpiRkT+qJVqhTzt+zNo8V5IyE+nr1rf+DSiSN8/fXXLF68\nuEjHf03ffr25ffc6dRtUoV4TC95va0O1mrmfYUspee71kod3n3P/tjdaWpoEB0UTHBDFqWOuadoa\nGupjXtmU4JBwKlY0ZdCggSQlJZGUpMLb2xuVSoWdnR1Dhw7NMut4YfDs2TMWLFzIAScn2jj0oc3H\nfdErmzHAX0qJt/sDXM86c+P8SapVs+LzESMYMODTlLreCjlHmVHmEl9fX0JCQqhsXTPbtk07dwah\nwfFfNzJnyiCqVq/NzAUbchXYrKGhgZaWNklJby69WtDEREWyZfEsqltWJjo6ukjFID27du7l+vXr\n3Lt3j0uX/2HQ0pUMHt2O7p80Q1tLE20dLeJjE/B6EkhcXAL+vqFcOn2fE4eyLjNbubIZvXv3oV0L\nW8zMzOjR5RkNGjTAzMyMChUqlLiZlo+PDwsXLWL3nj207tqTWb/sooy+QYZ2AT7e3Dh/kpvnTqKl\nocGQwYP5eenCbFcBCvlHmVGmYs7cuew9fIixP63LvnEqgnx8WTlsOMbGlZi/dFuO+sTHx7Fkzmj8\nfL2YuvIXqlgX7i77a0KDApk9uCejx4xh3dq1JS4ZwZkzZ2jfvj2VzSuRmJhIYEAw+gZliYyIonYd\na1q2bMnWLb8BYGdnh5GRER9++CGtWrWiRo0amJmZlaid29cB15aWlmhqarJmzRq0tLRo1aoVfn5+\nHD12DCcnJ1p26k67Xp+gb5jWDREVHsb1s87cPHuC0JeB9HXsy5DPBvPee+8pPscCQtnMyQUqlYoa\n1tZ0nfQ/rJs2yXX/oOfP+bbfJ3TqPoDEhASqW9fNsoJjaEgQC2YMI0mVxIy1WzA2zVtqsdwgpeT8\nX/vZv2EVKpWKp0+fvnEj4U0kJCSwZMkSpk+fnrJjW5B23rt3j/r166eMpZ2unERMTAweHh40bNiw\nQMcuaJYs+Y4l3y2hXHkjQoODSUiIJz4uDoBa9RpiaFwBU6uavN+5R4pASil58cyTf44exOfxIwKe\nP6Nrt64MHzqUDh06lLgftncBZemdC5ydnRG6OnkSSQATS0s6fz6Cczv3oKGpwenj+zMVykD/58yd\n9hkVzMyZtmojuqWLZtl79o893D3vzNatWxk8eHC+7uXv78+8efO45+bG3j17CshCNUKIFJEEMogk\ngJ6eXrGLpJeXF9bW1iQmJnLs2LE0Z7JVKhWbNm3i669nMmnZz9Ssp7ZVHX6knpikPoqpSkrC/fYN\n9qxbhr+3FwCN7Oxo1awxqy6ez/POu0LBoQhlMgcOHqR++5zH5mVGp+HD6TR8OJ537rB27Pg0r0kp\nuX75NL9t/B5Ty6rMWFc0Ad2hQYGc2L0Vt6v/cP3atQLJ0mJpacn9+/dL5LndwiAmJoYHDx5w8OBB\nwsPDeeTxmMuXL1HFug5PH9yjc+fO9OvfHyE0iIgIx8fXj7gkyYy1W7Cs+W/WHSFEyr95UlIiHrdv\ncvuf01w/d5KY5LrpGzdu5OOPPy60VHYKeUMRymQCg4Ioa5t1/GBu8HX3QKVSsXzRRKrVrIunx308\nHt1GSol1AzvGLVheJCKZEB/Hr99Mo0sHe76fc7hAU1nZ2GQsPvauER0dzaw5c/hlwwZMLSzxdH9E\n6TJlcBwziW/GTE0pxfHS349rp4+jo1saoaVHq/faYdusZYYEHrEx0Ty+ews3l4vcvnSeqlWrMnDA\np2xb9yNmZmYF7sZQKDgUHyWQmJiItrY2M3btyDbXXk54nbnZokYtwl4GUs6oAm16ONLyo25F5mPy\nfHCPZZNGYWRszMugIMXxnwuklBw9epTRY8dhWbsuPUd+gb5h7hM7SCnx83zCw5suPHS9gufD+zRs\nZIdj71706tWL6tXzn2RYIf8oPspkYmNj2b59O4aGhlSqVAlzc3PCwsJ49eoV/v7+ODo6UqN+/QIR\nSYCKVaqgVaoU7Xr1p0WHvAUs5wc/r6csmzSKdevW8dFHHykimQOklOzfv5/FS77Dw/0R5StUpOfo\n/1G3aYsc9fX2eIibyyVCXvgQGRHOq6hInjxwo5SODgMHDuK7+XOxt7cv1lAshbzzzgvl06dPqVGj\nBuWMjalmW5fo8HD8njwhJkrtEyprYEBVW1uGLl1SoOMam5lx9/KFIhVKt+tX8H/myd871OeiR44c\nWaJCZUoyy5YvZ81P63EYOoZBtg0yDfROT1hwEFedj+LifITSujr07tWLBh3bEBsbS4MGDTA2NqZK\nlSrKkvod4J0VygsXLjBp6lSeeHjgOHUKrfr0TvO6zyN3gp5706BtWzRzmf06J1RrUB/3q9cK/L5Z\n4bz3d66fPIKPtzcTJ07kxx9/LLKx3wVWrFjJiHlLqVytxhvbJcTHc/fKP1w//TdP79/D0bEPf/3h\nRNOmTZWZ+zvMOymUMTExTJ85k8QyegxctJCaje0ytLGoXSvbY4r5oWH7dlw7crRAzkRnh8upY9w+\newKXK1cwMTEpkjK27xrR0dFZ+iGllDx/7M7Vk0e4ce4k9erVZ/LYUfTp0ydNcTCFd5d3RiillKxc\nuZJGjRoxZdo0tCoY03fyJMoU09nXWk2bopKSR7ddqdPojX7iPPHS3497LpeICgvh5L6dXLvmgplZ\nxgw8CjlDpUrKsLKIDAvh2ukTXD99jMS4VwwfNozNK7/Pc6C+wtvLOyGUsbGx9P/0U/46eBBDY2M6\njhhOy54fF+tSSFNLi2q2tuxZ+wPzNuY8KDvsZRCzBn0MgI6uLuZVrWjb+1OafNgBUP/nfXTLFacN\nq+j0UUeqGBqyb9/eYg/AfpuJj48nLjaW0mXKkpSYyL1rl7h28m887tygm0N3tvyyng8//FCZqf+H\neSeEcuy4cXiHhfLDuTNolaDNi27jxrJu/Bc8cbtDDdvsU/qf/XMf+37+t5pvYEAA165do0OHDlw6\ndgjHMf9j3dcTqV+/Pjt+/41u3boVpvn/GUJCQkhMTOTgxrW4nnWmRo0ajB05gv79/8LAIGNyCoX/\nHu/ET+TfR9W+QM1MjrsVJzXtGlG/TRtWfTWeZ+4P3tg2NCgwjUhKKTEwMMDe3p5Bgwbx8OY1Nsyb\nyqqVKzh35rQikgWIl5cXAI2qW3Ll0kWuXb3C559/roikQgrvhFB6enri7+7BiydPi9uUDAz/7ltq\nNW/G8smj8fPK3r6hQ4emyR4uhGD79u0ATPzii3yf01bISNOmTbl27Ro/fL+UWrUKb4NP4e3lnRDK\n0qVLY9eoEUd++qm4TcmUUSuWY9WgPku/HE6Az7NM25w/7ATAiBHqLN7pd8vb2Xdg5swZhW/sfxAt\nLS2aNi34DTeFd4d3QigBGjdpwv3LV3jm5lbcpmTKuLVrsLSpzaLRg/hzy3pUKhUqlQrX86f4efYk\nXE8dBWDEiJFMnz6d/v37p/StWMmUXTu2K5sJCgrFxDt11nvz5s3MXriAr3btLACrCocTW7bhvGUL\nmppaVLKoQlkdbWZ9PZPOnTtz5swZBg8ZSse+g9DR06NUKR3+/v1X9u7Zjb29fXGbrqDwTvKfO+vd\nunVrXng9K5Ig77zy0bAhlC1fjn1Lf8DKwozDhw6lFKFycHCgfPny1LZrStyrGHasWMya1asUkVRQ\nKGbeKaH08/OjirV1iRVJv8dP+GHwZwDcuHEDO7u0J4Z0dHQYPGgQSyeOpGIlU37bspmuXbsWh6kK\nCgqpeKeW3gMHDybG2IgPP+mffeMiItTfn3/27uOxqysh/gF0tLfnm2++SZPFOzVSSry8vDAyMlIq\n6ikoFAH/qaX3q1ev2Ll9OxN/3VDcpgAQHR7OiY2buH3qFCNHjGT+2HHUrVs32wqAQgjliJyCQgnj\nnRFKXV1d7Dt0wOeRO9Xq1SsWG+JjYzm17Tf+2X8AIQSDBw/GyeNxiSuPqqCgkDveGaEUQlCnTh3W\nLVuOhoYG7/fqWehjBnp7c8vZmdjISEysqnN+505at2iJy5UrlClTpkBLLygoKBQfb71QJiUl8erV\nK44ePUqSSgVAuJ9foY6ZmJDAXytX4Xb+PJ999hkm1WuyZu0alv2wjIEDBhTq2AoKCkXPWy2UERER\naTY8Gtm3Z/y6tZnmnywo4mPj2D5rFhbljfDy9ERfX50J++uZMwttTAUFheLlrRbKBQsXpjxu1bsX\njtOmFuj9E+PjUalUlEouyxobHc2sTl1QJSVxLTZWSfGvoPAf4a0Vyn379rF82TKm/f4blWu+OX1/\nTokMCcHdxYXnd+7y+NYtfD29AFhy8gQamlpsmz6TESNHsuHnn0tsrKaCgkLB835kEZEAAAdHSURB\nVFbGUSYkJKQUzVp5+WKB2ODzyJ3lQ4fRuHFjhg0bRps2bTA0NKRLt25ExMSgratD8wYN2bljh3Lm\nWkHhHeKdjaP87rvvABi84JsCuV9oQAC/fz2LdevWMXbs2DSzxXt37nDixAliY2Pp3r27IpIKCv9B\nciyUQghN4DrgK6V0EEJYAbsBY8AVGCyljE/XpxrwAHiU/NQVKeWY/BodFRVFt9Gf07hjh/zeirPb\nd/Dnup/4bulSxo0bl+F1IQSdOnXK9zgKCgpvL7mZUU5ELXqv0z4vBVZKKXcLIdYDI4CfM+n3RErZ\nKH9mpsXMzIzz9/OeTi0uJgZfDw/u/3MRz6suPH/+HAsLiwK0UEFB4V0iR0IphLAAugGLgclCvTZt\nD7wOGtwGzCdzoSxwBg4cyLz58wkLDMSwYsVM20gpef7gIW4XLuB7/z4vPL2QUqKnX5Zg/wBq2dSh\nedNm/Hr8uCKSCgoKbySnM8ofga8A/eRrYyBMSpmYfO0DmGfR10oIcROIAGZLKS/k1djXmJiYMG7c\nOLZOn8GgRQupYJ52aF8PD46uXUdU0Ev69O7NlIWLsLGxASA8PJxatWqlbAYpKCgoZEe2QimEcAAC\npZSuQoi2ubz/C6CKlDJYCNEEOCiEsJVSRqRuFBQUlCYV/6hRoxg1atQbb7xo4UJ0dXTY/PVs+n49\nkyeurrhfvkJ8XCwB3s/5dtEixowZg1a6Ws2Wlpa5fAsKCgr/dXIyo2wF9BBCdAV0UfsoVwGGQgit\n5FmlBeCbvqOUMg6IS37sKoR4AtRCvSmUgomJCblNs6apqcncuXPR1dNj3bz51KtXj9XffUeZMmWw\ntLTE3DyrCa6CgoJC7shVHGXyjHJq8q73PuBAqs2cO1LKn9K1NwFCpJRJQojqwAWgvpQyJHW7gspH\nqaCgoJBbchJHmZ+gwOmoN3Yeo/ZZbkoetIcQYkFymzbAHSHELWA/MCa9SCooKCiUdN7KkzkKCgoK\nBUVhzygVFBQU/hMoQqmgoKCQDYpQKigoKGSDIpTZ8MsvvxS3CXlGsb34eJvtV2zPiCKU2aB8aYqH\nt9l2eLvtV2zPiCKUCgoKCtlQIsKDhBBBwLPitiMLKgAvi9uIPKLYXny8zfb/12yvKqU0eVODEiGU\nCgoKCiUZZemtoKCgkA2KUCooKChkgyKUgBBijxDiVvKfV/LZ9NSvVxFCRAkhMq2HK4TYIYR4JIS4\nJ4TYLITQLhrLC8T2L4QQj4UQUghRoWisThk7v7ZbCSGuJtu/RwhRZElGs7JdCNE81fO3hRC9sujf\nXghxI/k7s00IUWT1qwrAdvtk228JIf4RQtQsKtsLyP4Lqdr5CSEOZjuolFL5S/UHLAfmpntuP7AP\ndeakzPp0BUTy3y5g7Ftkux1QDfACKrxln/te4JPkx+tLwucO6AFayY/NgMDX16naawDPgVrJ1wuA\nEW+D7cmvuQM2yY/HAVtLwvcmp/an638A+Cy7cZQZZSqSS1z0Qy12r5/rCXgCWRbpkVIelckALqjz\ncxYp+bD9ppTSq9ANfAN5sT1VOZL9yU9tA3oWrqVZ2pFiu5QyRv6b+V8XyGy31BiIl1K6J187A30K\n29b05NF2kp9/XTurHOBXmHZmRT7sf93fAPV3KNsZpSKUafkACJBSegAIIcqiTieXo7q4yUvuwcCx\nQrMwa/JlezGTF9tzU46kMEljO4AQ4j0hhBtwF3VqwcR0fV4CWkKI1xlrHIHiSL2fF9sBRgJHhRA+\nqL/v3xWJtRnJq/2v6QmckukqLmTGW1nXOy8IIU4Cppm8NEtK+Wfy409JNatBXTBtpZQySqSq9f0G\nfgLOywKoC5SaIrK9UPgP2o6U8ipgK4SwAbYJIf6WUsamel0KIT4BVgohdIATQNLbYHsyk4CuUsqr\nQohpwArU4vm22P+aT4GNOTKouHwLJe0P9Y9GAGCR6rkLqH13XkAYEAJ8kUX/eain8Bpvm+3J7b0o\nBh9lXm1H7Q9+yb8+qZbA8eK2PZM2p4Gm2dznI2Dv22A7YIK6BPXr6yrA/ZLwvcnNZ486MD0Y0M3J\neP+ZGWUO6AA8lFL6vH5CSvnB68dCiPlAlJRybfqOQoiRQCfAXkqpKgJb05Nn20sAebJdSimFEGdQ\nL1t3A0OAPylaMtguhLACnkspE4UQVYE6qAU/DUKIilLKwOQZ5XTUpaCLkrzaHgqUE0LUkmofa0fg\nQRHZnJo8f/bJOAKHZdazzTQoPsp/+YR00/g3IYQ4KoSonHy5HqgEXE4OOZhbGAa+gTzbLoSYkOxr\nskBdtiNnS5GCIz+fe6blSIqQzGxvDdxODln5AxgnpXwJGWyfJoR4ANwBDkkpTxeV0cnkyXap9vl9\nDhwQQtxG7aOcVoR2vyY/n31W/bNEOcKooKCgkA3KjFJBQUEhGxShVFBQUMgGRSgVFBQUskERSgUF\nBYVsUIRSQUFBIRsUoVRQUFDIBkUoFRQUFLJBEUoFBQWFbPg/wRLsv344jHEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1116b4250>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "precincts.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "source": [
    "We can make a choropleth of this simple map: a map that is colorcoded by the value of one of the columns in the GDF. Here lets trivially colorcode the precicts by their area"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-03-25T12:12:03.521551",
     "start_time": "2017-03-25T12:12:02.600051"
    },
    "collapsed": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "precincts.plot?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-03-25T12:12:09.458055",
     "start_time": "2017-03-25T12:12:03.586397"
    },
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1144deb10>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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FuVMrAgIecN/3LlOmTMLFxYWWLZqD/B3TJo/EydlFWbdTp04MGjQoU7H+lZGm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\nKIpAOUqFQqEogv8H1n0tTbPLbfcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1144d15d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "precincts.plot(column=\"shape_area\", cmap=\"bone\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "source": [
    "The details of how embellish a choropleth, such as for example put a colorbar, adjust axes, lines etc, are a bit painful. However, I created a python module that will help you make choropleths of any NYC GDF: it is fine-tuned to the shape of NYC and it makes it easier to add colorbars etc, you can download it here https://github.com/fedhere/choroplethNYC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-03-25T12:12:09.471905",
     "start_time": "2017-03-25T12:12:09.461717"
    },
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "import choroplethNYC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-03-25T12:12:09.498279",
     "start_time": "2017-03-25T12:12:09.475284"
    },
    "collapsed": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "choroplethNYC.choroplethNYC?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-03-25T12:12:15.288292",
     "start_time": "2017-03-25T12:12:09.504434"
    },
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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l4xZg5arPU8BbSDV//T4OrXvwpOT48iXXKLuh0XA6uzPWh/xbrvEVf/h9YMet\ngNY35Fy6qt8BDLuhCZyyYwC2p+v6RLSYiHKh9TsAXCZB1diTwEoIIbLAIM93KoNzDI8xugVc3XYb\n6rrWJzU7XzeU9b5ZVVeFBj9r6FJOHC9u+5F27SQuKLyVGpP7XL8nVw+2XY7PkwOGHvNvg6bpw6LF\nt6kZM29ES81LvPVPX3WT3e0AgPC4iTC8Abfj3r9n7PreiRXwz5+B8NvOQ/7NVxlGqP/9G5P7DoIM\n44XBktOHiojyAbwG4PfM/DgzP5GOdsXwSGCVYS6rtD6EEGc+IpoN8LWTc5b2m3szmJSbwP8d+hHW\nNP4OYPwPgN/MnXB9cCijVUPlahtrt/9UW/DyBYW3Gj4zBFsnqLJ4qRqsppbX6tlhK00xw7CVlS3C\nuef9J5ls0rZ7v8Ytu18BAJTOvdCIvrKZtfvm/K/B6GQKnU+uGfQ4UgoF/3C1J3zRigH/fu36RlvH\n4q8NuyP9iwBYjWOLIkR2yJ06g3r3CkznQwhxZiMiMsj67bTc8zyjGa2ylAfUkx7wvAt7MQDkBavS\n1MueHKx1Nb/QrB2sLLzleE2pMt9Uqj38DLvuwDUrPccCPK2zt6jN4wlh+YpPqsqKlXTwxXux57Ff\n6JLZq0AgRP4yvMEcZkbbPQ+h/Y+PoOvpl9LSP7Ok0CS/76L+Xiei3xPRJcPoo2bm505IghdZIIFV\nhrlQaX0IIc509I8+IzytKjR3VP+gO1KNAMghMp73eXKXVJesSFrm4PWw1m7/mfP81h+4dU0vYev+\nB7F2+8/02u0/cxvbd8DRPfdjrTVe3vkLnUhGsLLwFmWqNwZe5oQvJAVTr6+9Z5DaSvqk/2bTlKlX\n4pxzPojupv3Y+ocv64LJC6nziRdZp4Yef8Re24Lomtc1gA+03/toXcPnvtuVrD0wqn6FVi0hMK8i\nopmnvkZEiwG8G8CTRNTnCBQRmUQ0a1SdEGknd+oMkxErIUQvIgoqMn44r/DS8Giqnbcm6vF6y4Mx\nhn4/kfp/i6a82zu94m39FqDsdaRtG6LJo2aQc9Tew8/qjo79bkAHlbaT2Fr3AD+z6Zt4csNX+alN\nX0Us0UYrC29RPuPkjZuVUliSf7XREa2nzfvu6zdq6oz1VAowhxDsjYXcvGqsPO9zKugvQevu1wDX\npZZf/HFI85TsOGj/4yNRAJcy86/Ytmc4R1pub/7x3d061lMUnZnR8vN7uhu/9Ysutzs2pD4prwfe\nSZUugMVtcieFAAAgAElEQVR9vFwL4OZjP/ed3E50N4DtRPRJIioe0kVFxkm5BSGEGCMEuq3QW2nk\neoZXq+lEzBrb2p7sctl5j6m8n504bqU36Csa0rk7D/2fW2JVGwtzLiXgpGXGBgAkdQwbOx9HxD2K\n5QU3UMB8UzksAECuVYIledfitY6HVGvnPhTmTHrTMV3xRihlZqQg50gZpgeLFt+mWo/uwpYtdyOx\ncQex1qBBVkimDjXCjXQFATxFRB8G8FNm/p3yWOe33v3AO4tue3eQE0nE1m/zAziQrN0fDiwYeCBJ\nx5OIvb4FiR21IQBP9XGIH0CMuf9v1OT1mJyyvwitvwvgSgAXD/wnIMaCBFYZpk+fzxQhRBYRURDA\nd6bmLh/2ue3Jw6hpfz6xrORGX2N8D6d0fDeAeY5OLt3X+KLuijdhZtXVsAzP8XO64y3wefNhHlu9\n19i+HbYbM2aHV/V7nZbUIUTco7Q49yrkWAMHa4Xe8fCogNvYvsPoK7CKJdtgGN7sZK4PIr9gMpSy\n2CgrACk16FSAd2IFKn74BST3HkDr3Q98S3dFdwJ4im3nY/EtOy+v/9hX/LorqgAYUIrctsigfWj7\nw0OIrtvQAcKHWPOR3ueJaDH5vfcDqO59qr82dDxxy7Fz1sPnvdYIBV/X8cTPoPVv0rXSUAyfBFYZ\n5sr0nRACgEf5v5zvLbdzPCXDXgm4r/N13Wk3+15uvs/pso8aAH+XYPxqon8eXLZVQ8du99n2bxml\neTP1rKqrVdLpxks1PwcABLyF7vSKy4xd9U+4RVaF8hj+Pj+UtNbYGX1JV/hmqiLf0JLgHZ2k3OD4\nPl+LJdthWaHT8ptlTc39zAZ43Bc/MuT+GTkhBBbOhk4kA22//+v3iGgBM0eJ6CZO2esAPARFa8Fs\nJfcd/EL4ohX9zoG6kS7EXt2cAuMdrPkZ6pkXLmXmIzCN/+F4shoAyO/bOsTuPYdE8m+Ft78H7ff+\n/b/druhyIvo3Ca6y47T8n/5sIjlWQggiqnLZvn1G3vkjKq8wNXe5AoAuu8VUUD9QMH41K3iuf2pg\nMWYEV+Ci/PcaswLnoTVSi+e3fk+/tutuHTYK3cXhq+BxTdq49w9I2l3G7OD5/X6IHEhshYZLs8Ir\nh9wvDVeF/WV9vpZIdTpeb+i0+9Dq7KxHc9NmKvy3W5Qyhz+2EFy2AGw7MwHkAgAzvwylngHRKnb1\nd8D8VLL2QHygNqLrNmoQ3Qfm54joBgD1AA4b4eDPlc/7CEzzE1DqrxxP/MtQ+sTMURgq5Zs1BWVf\n+mjAyMt5FwxjSOeK9JMRqwyT/f2EECZ5/rsqPN/wm+ERne8x3igySVBXTw0sCVT4Zhz/cCEiVPpn\notw7XT3Zfie0G8PK/HfAo3wo9FyrUjqBLqcNpyai99JaY298g67wz1KDFf48lVJ97w7juAn2W6dX\nPrXWDjZv/o32Tq7m4DlzRrStDSkF5fcldVe0AEDHsYYvAdC7eGCP2x4JDZS75XREbLadfcAbO2fn\nXn0RIn975oMg+hfW+k4APxhmv2y2HY+RE0LOxecG2+9/7J1E9GsZtRp7ctcXQogMIqKrTOW5ZFJ4\nyYhGqzRrPHf4TgCAAetHeVZpVZVvVp+f3UopTPQvwGT/InjUGzNRPQFW31N2ALA/sQUammaGzh1y\nv9xjGzF7zL6DNUNZyhmk1tVYYmasf/1n7JKDkk++f1R7BaqA3wVQcELbzMyJYz+3wzQiTlPrm87T\nyRSiL29CcledSV7rfb3Ph1YvR+jCZb2NPTeavgFAcOVimCWFS8nr+e5o2xLDJ4FVhrmgtD6EEGcO\nIiKTPN+clrsycGItqOFw36j1uMGF/ZG5oQt8A1U9nxZYgimBc4bcfs9o1UZd6Z9Fwxmt6rCbABC8\nVt+BVThQasSiTcMvb54hGzf+2o3Gm1F2x8eU8o2uBITq2aamoL/XyTC3pg7Un/Qcuy4av/Hz7ta7\n71+bOtDwZU7aH+99reDW62GEgyCvJwkg73g7RAWkVD0RzSOitxORB/07PjKlvB6U/se/BlUw8EGy\nrI8PcI7IAAmsMkxyrIR4S1umyJxUFpg64gYOR3f13jDPCRp52qv633tuJPYnNoOhaUZoxbDOa00d\ngml4+w2c8oKVSKW6TosPrZ27/sqRSJ0x7gv/TlZJ4ajbM0JBhX4CKyK6SMfi5xt5b5SqcLtjOPyF\nHzhOc2stp+zzmfkrrPVfAJSRx2pMbNsNsiwov48BTD2hsdvBXI6eacG/APiv/vrEmi0y3xiIs5ta\nEFg8JwDH+R4RzR3lWxbDIDlWGSY5VkK8dZnk+cqknMX+kRYDtXUCuyNrEwT6u4Lx9pV5N41qCutU\nPaNVm3TlCHKrOuxmBLz5/QZORTlTUXPoUaW1228e1ljo7m7CkYZXqOi2d8NT1f906EBSDY1o/9Pf\nujiZ0uw4sJtafQD6S5gb5587PeWbMfn4fkXJXfvgNB1NgPlmPrEUPdFSTtnjmn9wF6rv+hbcjk4f\ngD8S0Uxm/iKY7wXQAuAZAO8HcFdfF1Qe67twXS/rnqbtpqNo+vrPQV7P3wD8Cv0VGBUZIYFVhmmZ\nvhPiLYmIrvGqwPLK0NwRfwjsiaxLMOu/A3TdopzL0x6djHS0CgCibodbnDO93z75vbkACJ2d9cjL\nq+7vsIyrqbnPtcpKKLhk3oi/5UYeeiqa2FF7F5gfA5A69tjYz+Hbk3WHmF0XZPT88ahQAGRZSU6l\nTr7nMj/U+2OqvhG5112CyENPAcBzPS/zLgC7jh3ymf76x64uAAAdjYMME43f+LlDHusnOpGUacAs\nkOEUIYRII+pxvSLzDwuKrgwZNLLvr912G+qj212Cyp3sX0j5Vt9lDUZKa4198U26wj9zWLlVvVI6\nrvLDAwdMpuFxO9prR9rFUXNdG91dDUb+rdeN6l6XrDtkg/luZn6cmZ9l5rXM3N++NVvgutu7nlp7\nfGTKN30SwquXFZLP+8ne54ho4oknHfniD5F7zcXwVJenYBi/JiIfDZRMdyKtiwEgtn4bEjW10LFE\nM6fsLw37jYq0kMAqgxg9BULT+RBCnL6IaLZB5nYADy4qujaU7y0fcVs7O16IaeZfEdHKav/ctM8u\n7E8OfyVgL1snwdBUlDNw7pjHDFF3d9NIuzhqrUdrAKXYP3PKqNpxWzvyAESHciwzs47Gb+148Imk\n09F5/HmztBik6MTpw2tOORG6K4pxn7vd458/sxRKRQBoMow1Q7jsZQDgnzMNnqrxIEIugAFraYnM\nkcAqwzSrtD6EEKenY4Uet7nszCz2TUBbsh6vNT+o17c83O9Gxf1pTx5Ge/Jw3IAqrPbN8Zo0shWF\n/WFm7IttHPFoVWuqHgTF1iAbLJvKo1w3OdJujlp3tBHK5x32n/+prIpxMQC7iWjGUI5n5t1g/Cry\n0JO9JRgQ37YroWOJF0445scAVgC47viJSoFMAyX//p5gycf+sWcFoNaD1qFiZg9M8/udj7+QMIvy\nYRQVuADOG857FOkjd+qMSu+KQFkVKMTpi6AuDlAOilU54skOd3/nRt2ebKCWRJ3a0f4cYs7g+8cB\nPTfhnR0vxFx2vs7gG08sBJouBxPboeHSjBGMVgFAW+owLNM/aCkFpQxonb2KC4lEB1Sw7y18hqPk\nY//UuxSza6jnsG1/O/rSBjAz2v73wWhi2+5DAO496Rjml9GTmA4AMMJvlK7wz5ne++MviKiQiAaO\nYh3na7HXt2qnPQLd1W0AaBhqX0V6SfJ6hknyuhBvDQz9apDCty70rM4BcDype5u9jg931+iD3ZsN\nBUMX+qppbsHbyGP0fZ9sSdSh224/asC4sMo32/CpvutEjUZtfL1b5ptqGCMYrQKAiN3CQV/REJLp\nCcCoB4xGLJXshsoLjjowNQvyEFg8NxnbVPMogPlDOYeZG5TPG41v2O6LrtvgcMpezMydfRza0z8i\nMDNOTKsq+sAtfPSXf/rdsV+jAEIDXK9N+bwx+3BzgFO2C2DPEN+eSDMZscowGbES4i0jqaHflNA8\nx1pBF/luNi7y3IzJxnzVkWjgZw7/EpuPPsaOtk86llmjpv2FqMup35tkXTw5cM5ABSFH5HCiFg6n\njJnD2BPwVDEd0eFA2aAfSEQKzINPZWWK48RYBf2DHzgEnEoRGWoo+U4n+k7LT38HMo2H+wmqAODH\nAFD5sztwaq56cPlCCi5fePzXgZLZiaiAXZ3jdnSCLHOdbGWTPRJYCSFEevgNmP0mQ5nKg4nWLKz2\n3aRmm8vQEq/jpxt+ztvbnoF7bLrscGwnUm5snwHztnnhiwMjXVE4kF2xl918q4wt5R384H4EjXyu\nb3mNu+MtQzg6e18IHSeuVXj0I35s24hv2eXhZGoWEb1ERPlDOU8nkt8CcJ6OJT46wGHvA3qqpfcl\ntHr5ib/OHKCdc63SwpTd0Kh1LP76UPonMkMCqwyT5HUh3jJ2dOiWwFAGCsrNKVjtvVlNNRdSQ3SH\nfqrhZ7y97Vns7Hgx7sJp0dB5YaPfHVNGrMtpQ4rjxpzwhaOKdpbmXWvmmMW8ruYX3NHdfyrPqVNb\nYy2Z6iZPxbhRt8PO8enMC9GTcN5GREMaEWLml5i5fcTXTp2w3yLRNf0fieeco+2dbleUyLI+QkQj\nX5IqRkXu1JnEMhUoxFvIqykk/A6GtvEwEWGCOQsXef5BTTRm06HoFtg64Qf4IoLCM+2/Q0332uOj\nWb2YGY62EXe70GE3ozl1AI3JfWhJHUKH3YyY24lTpxh77Yyu0wGV4watvD5fHyqlFJYXvF0Veir4\n1d13cWvnvj6Pc9yENkxfxj642tpqcfDgi31f20lCuykVXLawz9eHQ/m9CK4YfTt9IroKAOLb+06J\nav7enb0/3s9af6u/Zpi5m5Op82KvbWlXfl+IPNYjae+rGBJJXs8wSV4X4q2BmdkiT22Mu6fk0tCn\n2ZRSmERzcdDd1a3hri0LTb9wbtFl3gORjahpfw4HkztAUMxgOmGf3eMIxD3TbYyeY059XWmDTG2w\nhSSiZoE1HjGnE14VhDHKrWYW51+lNnc8yetr78H8iTeiNP/kmaqk3cUFgYFmr0auqWkzdmz/MwBG\nbk4lcvMmnPR6S/M2kDLYLMgd1Ydw6uBhkNeD0MolINNE94uv9b70t9G0exzzYyD6TNtvH/jC+K/9\nR5As84SXTvr7nk5EFzHzM29q443j9xPRak30MJQ6kJb+iWGTwCrDZJRJiLcO7inzOOzzWnQ9GLoO\nwAXT8lZ6AaA6dyHGh2aivns7fEaILMMPjwrAY/jhMbxQb+RfvelDxtUubJ1A3Ikg7nSoqB1RBzs3\nAwy02Yexru0B2JwAQDDIdL0qgJBZYCzIuRRKDW8iY37e28iIeLC57j5ckvtZnFgXy3YTKi9/4gBn\nj0xj4wbU7LgP4bethH3oiN6y9Xe8cuXnjROnHVuObodZmO9ilPe5I1/60fGfPRMr4gB6s+HfO5p2\nezEzE9G3nfbIp+M79gQD898IRN22jhMPnQvgaQyStMbMWwBMSEffxMhIYCWEEGlARJUKRlUODT83\n6rC7L+XCeTxoFVR7zeDxOgyW4cPE3EXDbs9QBgwVhM8MIh/jobVGXeQ1PTm4WO2Nvg6bE5gcXIxC\nbzk6Uk3Gwdg2NCfr0FMaYfgZIpbyQJHBRMbxm34y1Q2AKS93dIGV4yTQ0b4PkchBdHcfQSze6ibi\nrUbOlRci/8Yr4MYTqv7DX+a6fU9i0uRLj5/XGTno+s6fP+p7XNWd30TX4y+i/f7H4nZ90xEV8Nfp\nWPz2U/Omjq3YC6OnJAIz85FhXGY+XJ3f+fdnk4H5M48Pd7od/S0kFKczCawyTEashHhrMGF9pcKY\naioa3vSawym06iOkyAwX+ipHvlRvAIe6t4KhaXJwMSr9c1Cf2I5JgUVQSqHAU45cqwSvtz/CL7b9\nWa8oeIfhUQPXojyVpfzQrOnpTd/QucFyml19HbV17oMiQxumZ9BITWsXnZ2H0NGxH91dhxGLNbvJ\nZASOk1QAE0ix8vu0UZhH1tRKo+icyxFcMg8AYPh9yLvhUjrwwONcVX0+maYPWjuw7ahRuHLxyP7A\nTkBECF+2Cu33/t3PWk/SqdTkPo/zWN9g1/0keT0pjiX8ZJp3wHW/P0CZhRNtAfC5ZO2Br3Wv24jQ\nsXwuz6SqUfdfjD2SUheZY/osvuLJD6a1zb+d/5MYM6e/YqAQYsSIKFfBaFrlvd7rpeHVTWpw92KX\nvX6NJj3n3LJ35YU8hWnv3zMHf+nmW6VqYf7l/X7TSzjdWNf2gGvruDon70oq8lYO6xqOtnEovh21\n0dfZZZtCvhI4nHJWnPfpN32B7+g4gIMHnufOzkOu48QNZpcAgmF4tMcb5kCw2AjmjEduXjW2rr8L\npZ+/Hb5BgoxD//5lnR+oplmzbqYjh9ejdu+jXH3nN9L2zbbjr0/oyMNPKwDFzHz01NeV33e/VVZ8\nVXDJfJ/TEUHXEz0lr5iH/u26d6Vh9V1v5KinGhpx5As/6P11PzOnf25VpJWMWGUQQ0ashHgrINCt\nhapMDzeoAoADTk2Xg9SLOVbJwkwEVe2Jw0jpqDEzvGrA43xmCBcUvcfYHHmSX+/4GyYE5mNGuGfL\nG2bGq+0PYUpoCQo9fa/iN5WFicEFqPTPppquNWhI7IRheI/fYxKJCGprH+XWozWsta38/kJdXDbX\nzMmrRl7BJHi9OUAf85DK9LjJ3XXGYIFVwT/doI7+9Pd48YUv9/SnIF/jhAr4o+WfP0tFHn4aAPos\nncCJ5G2puvor7cPNy6FUmPw+xfHEHcO8TBKA12nrgFnQs3LTU35SuYh5I+i6GGMSWGWYrAoU4uxn\nwvPhSmPasKOqTt2KGHclFYyl1TkL01Mi/BQ7217QIbOAfWZw0CBDKYWF+ZdRQ3wntkaexdHkITeu\nu8gkD5I6ql5rfxiV/jmYndN/kGYqC3NzV+NIslZXT7hQ2XYMO2se4KNHd5DHE9aVky40KqtXwjC9\nQwp6LG+IUwcPD3pccNFcmJ//d3Svec0NrVpiWGXFaQuqAMAz4XhA+RSA1ae+zswtAH577DFSkwA0\nNH//znjRB9/t763BZVWWwT50BMw85L0KRfZIHSshhBgFIirTcCcWqNJhn7vfqYlquL8B0bnjAlPT\n/nlsuwlEUkfUtNDyYQUZ5f4ZOL/oXXDZhkke9qsQyrxT9LzcS1Af387Pt/zeTbhv2r3nOFfb0Oyo\nQKAEa9d8nTsi+/Ws+e/GitWfMyZMvhiGOfRUMr+/0LCPtAwpZ8UqL0X3c68YjV/5CZRveHlig+l+\n7uXe5Z6/TGvDJ2DmwwBm2Yebv9l6133Hc7MCi+YAhHimrivSS0asMkymAoU429F1Raocw01aT3ES\nzfqQoWBY5cGZZKh+d8MZsZ1tL8Agj1vsrR726E3AzMUFJe9503kFVgW90v4XPH/0f7nSP4tm5Zz/\npnObk/sBANu2/g75RdN57jn/aIy0AnsoOI46Wze4GMK0Xn/bwoxW6uBhtN/7aAeAC5h5W0Yucgwz\n1xDRfan6I19gxwEMA7EN22NgfCST1xXpI4FVhklgJcTZzYR5W4lRMew7eoNbawP8GEj9S3XOwvQO\nr6BnQ+fD0RqeEloy4qCmLz4zgAuKbzU2tj2Gg/HtaIjv0qW+SarcNwN5VikMZaI+sQsA8dRZ19P4\nymWjGokL51ZC168dehumoeG4Kp3b6TgtbSDD2KwzHFSdoAiOax78wOdAXg9zMhUA8JcxurYYJQms\nMkwCKyHObg7seX4KD+ucg85u7HE2WgAdKPVPNDORtL4v0rMP76RgZrZiibgtOpxbjZy8KtVyZJN7\nuGOPcWJl+HHlS2h85bJRXycnvwpwNWnbhrKGMKrnuApAWvcoNMcVQ8fiq4mobJj1qUZqK4CDAKo4\nmSIAnxzNfoNibElglWESWAlx9iKiUgUjmUuFQ04aSuoEdjqvAgAs5b24IjQn7aNVAFAXed0t8001\niNKfStsY34uE263mz/93+Px5mDLjKgMAXCeJWKwVyUQHCgqmpOVaPl/P6rjkrjr450w7/jw7DpJ1\n9UjU7EVqfz3shkbHjXQpHMsdZq1Bw6wi3x9rfEnvjx8D8Om0NHoK5fPeBmAhJ1OfPhZEVQPAsc2U\nmzNxTZEZElgJIcTIvYehPV3chhwafNQprruxNvUIo2dbku+6bN+e4y0Z7LRha4rWwuGkMSO8Mu1t\na62xrfNZXVg8k33+vJPyngzTi3DOeIRzxqf1mqY36Lbf/5gRefQ5OM1Hte6MEjsOAYCyvK7Pm0f5\nwQozPLEKRxu3oDNyEKm6engnp73A5j3pbrAXmcbVOhq/EkAMPQEcAICZGzJ1TZEZElhl2DBqwwkh\nziBERAbMWwGil1OPIY+K3bnWSsOv+q7fG9PdeCn1iA5QGAGEupq5/gCBDI9Kf5WFXe0vuAVWOXkM\nb9qHq/Z0vwoXDs2cd8uYrSovLVtIzY2bHI/PUHnBqSpnXCXyC6fC588H0cmrBqLdjXZn5yHolJ22\n1QAnTCsWpavNU+lo/NMA/g/A/Zm6hhgbElhlmNSxEuKsdakJa/J5dBU6uRXb+BW8mHoQ41Q1Zpkr\nYJ6wGbHWGutSf9MBCmG5ebla7zyjAXi8RihFRGldytaVOoqYEzHOKbwync0CABJODHWxjZg49XIa\nTsmE0Zoy/Wo1ZfrVgwZy3V1H0Hx4A4yCvLhvanVal1mSZWq2neEl0w3DsdWGY5UcLzJI6lhlmGZK\n60MIkX1ERArq29Novk+RQp4qxkp1tTEby9CiD7vPpv7Mu+2N0Lqn9NEBdwc0NC03r1BKKQBEAJIM\nnfYaCztan+GAkeuErPx0N40tnU9qjzesqyZdkPa2Rysea8WmV/4nwQZx6Sf+OYfM9I4b5F5zMcjn\nvTatjYqzkgRWGcZMaX0IIU4L13vhrypB5Ul37zJVjQvpemMiZtEBt4afTd2rD9m7sdfdyuPVJFLH\nkql95FcAArZOpvUzOOUm0J5soBnh89I+G+FqB22pw2ryjGtOu/uGnYpiw8s/7XbJ4eLb3u2xyorT\nfo3g8gWKE8n3E9GP0964OKucdv9AhBDidEZEhoLx3em0MK+vJf1EhElqNi7E9VSCClXjvgoNl0pV\nxfFj/BT0A8h1dMpkHlJR8SHZ2fY8LPK6Jb4JaWuzV1NiH4iIS8bNTXvbo9XStA2uTnbnXrXaE1g4\nOyPXMIsKen/8MKWzloM460hglWEyFSjEWeedfgQLClE24EGGMjFbLcUKXAE/grzBeQ6udgAAPgqa\nJqzJCsp2OZWWTmmtcSS6kycGFw65ynpDfCc2dTzBvVOWA2m3j8DyhAY/MAsO1T2fYub80HmL07o/\n4KnGf/NTvT/+YyavI85sElhlmEwFCnH2ICJLQX1jOp3T52hVX4IqjDJMIAOGNo4ltHvhB0FNVGRE\nU24iLX2r6+wpCDohsGDI5+zuesVtTNTSMy2/0V1264DHdjmtbBheo37/i3Cc9PQ5XQqLZ7hgNlUg\nIyXBjrNKCqECfgC4i4guJaKLiCiU0YuKM44EVhkmI1ZCnPmIqNwgczOAugByCgpo6LWnmBkHsVsX\nUfnxf8AWeQFwIRFFbD36IKU71Ya9HS9zuX/68TyuwaR0AkkdNVZUvgdBTwHWtv4ZOyIv9HlszOlE\nxG5GPNaCvbv+jgO1T426z+mUk1ftJ2XEYpt3Zvxa5d/7bO+PjwN4GkR9/6GJtywpt5BhaUyfEEJk\nAREFANQXocwBWE+hecMqj1DHNXDh0Gxz2fHAykNeaHCegnHI1okJo+lfc3QvNrY8wjlWiZ4VvmDI\nU2H7o5thkKVzfWVqRdV7VG3rGtS2vYSW1AHtVUEiEBMRmFm120cQMAv03NIrjFca7kHFhDdvvJxN\nBcXTwVr7Oh97LhpasbDvQmJp0nr3/THyemo5mXoIwDwwf2zQk8RbigRWGSZ1rIQ4sxHUR8PIS86h\nZV5Fw0vhcbSDOuzgajWTTPVGZQULXmi4YQWzdTQjVns7XsWejrWo8M/EnNzVw+rckfhutzAw4fjw\n1pTClSgJTsPu1ueVZhfMmhgMBjAz72JU5y0y9raug2F4Xa8vJ6O5TMNlmj7k5k2wI40HKFV/BJ6K\ngfPfRoptB7FXNgcAzAOwgJmZiOYS0W0AtjOzjF4JCayEEKI/RJSrYPznbFo67KAKAGrwGisonmLM\nO+kblgkLDO3R7DTZI8yx2tj0N26K76EZ4ZWYEJw3rG9wjk4hrruMefnXnfR8jq8Ei8tv6ve8lI5B\nGWkvvZUWpeMXBjp3HGjrenqdWfi+G9JadLUXn5zkfz8ZKoc81rmeCRUqubvOR0QrmPnlTFxbnDkk\nxyqDGJK8LsSZTMH4VDHGG0HKGfa5cd2NJhyiWeZSdWreExGhZ0Wg3e6MYFVgR6IRTfE9FDByMCE4\nb9jnH4xthyJT5/uHt6efQR6wdod9vbFQWrYAREage+3r5HZ2Z+YiJwdWN0DzJaWf+WBg3Gc+6LMq\nywClPpyZC4sziYxYZZQknAtxJmPwR3KoIMDMGG7pok1YowMIc5kxoc+hLgXT0UglbDeRAjDkEZYj\n3buw+eijAAAPBbk9eYTyvcOb+mqI17j5vophf7H2GD5o7ZyWH2rKsDC+cqlZf2jd3ujLG6fnXLoq\n7dcgy4JvxuTY/2fvvMPjqK7+/z13ynb1LkuyZLkXuXfANmDTTOgQID8IBBIggYQkpFNCQioJSchL\n8obyJhCSAKEEAoRiG2Pci1zkXmRLtmT1sn1m7vn9IclxUVnJWrkwn+fZx9qZW727M2fOPfd79IIc\n3VE8WHVPGvPfk5YFSHkjgJv6vWObMwrbYxVnmPv3ZWNjMzAQ0UiG9O7ijTiEvV2WWyM/lDtlKY7W\ngqqQuxBAi5igdR1MrkCRACKGDMfsstrZuBwb695GfsIEjMu8BAZF5KrG1/DB4WfktuZlqA0fwLrG\ntyMR0n8AACAASURBVLG1eSlCZmunbUhpIWA1KYXJU3ptIDWFD0FKQ0SjcfIInSRpmWNUAZHS8s5H\n4f4UXu2AVAWZD9zpTr7+smONKgApN13RVoZoUGd1bT492B6rOGMv39nYnLE0dPyRjM7lFfbJrWhG\ng2hFI1diDxfJUSIDediBDSgUo+ERXS8hKqRJcMg0ZNjsaSDMjPU1b8ra0B4xOn0+8hJLAAA5vtFK\n1AphV/0yUdlaJveHNgmXmmg1GdU4ENqiqKRbaY58ZbB7HJL0LABAZWgrCILTPIW9vjiNSJ+H2sBe\n3rPtLRpZckNvq8edhMQ8AEiwmlsdHImCnAOXKNo5cgiE1x2R/mAugMoB69jmtMM2rGxsbGw6gZkP\ndyz/ucl3wnlTmtiLMh4sRlKxMo62m2tpN2/GbmyGF4nWUK2k22h3te3yaxky0q1rRUoLn1S9YAaN\nJmVq7meR4jrWIaIrLozOuBCj0i8QDIYgoQBA2PSjvGmNUt26U65seFUIKDJJz6Kg2YwkZ+9iqzpw\nqj4MSZlJuw4v4+Hyupg1swYKEgpcnrRIwF+tQIgBv7+p6SnBqD/Y/9mvbc4oTq9fxVmIHbxuY3Nm\nopD6BADkoJCtTgK2t2INC6hcrIyDEAJZagEAII+GYqp2YY9bCBWoBEAzZaTLHzYzY0XVi1bYbFXO\nLbiDjjeqjoaIIOi/l3Sn6sWItLmYU/hFcUHRVzEs7VwR5YgMSz/lJIzp88VkcNIUMEvUHd7c1ybi\nBjMjHKx3gFklMfDXSyXBp0OIEQPesc1phW1YxRlbed3G5syDiGYJiDuLxBhU4wAvwWu8T25FR9xO\nSPpRc9yOvz3mZvYgwRqpT4Eqeo5FV0h1AchvidYkvVf+W/lRxTPmzoZlODrFTWntW9JvNIiZebeS\nS+v9zsQOVKFhcNJkDEmZoQDEub4xPVfqAiEEUlx5cseWlzngr+lzO/2NaYRRtuEvYQbKAcA4NPBj\nS7r6Ig+pyo+JaMKAd25z2mAbVnHGDl63sTmzIKIEAeWVMeoMV7E2DvO0a0WBGE57UcZL+DV5SJZj\nE5ZLF7xWttLmpZJSopFrMVgZFbPYFYFUAIpKzvCojAtFgjNL3d+6US6qeAqLK/7XWl/zJg4Hd4vJ\nOdeSR0/ql7kdaN4gfXo6n+wS3uSc6xSfniHXfvJr1NfEP41MLGzd9GJrY8PutyWbTyipSUE1M23A\nx6APykLq5691ka59SJr2snA53yOiKQM+EJtTih1jFWcGYvmOiJwAlgJwoO0zfYWZH4p7xzY2ZyEK\n1D9kiLzEDKVt2U0IgWFiAorkWNpqrsJWXg0AYoZ28ZE6B3kPCECOUhhTH8yMWnkQAC5WFT06KGGs\nc1DCWAAQrZFa7G1cpdQFy62ipGlKqju/3+bWFK7C8LTzTvqBWgiBGXk3K5sPv8NbNvyZxky8Fanp\nw/tjiH1CSgstTQdUaRnfFh7X4rQ7bnALR1w0QnvEM62EhNedHCrdeiUEidZFK+eSIr4Lyf/DzIFT\nMiibAcU2rM4OIgDmMbOfiDQAy4joHVsB2MamdwhSrtLhuGKkOtl1/DlVqBinz6LhchKauQ4+8d8Y\n5f3mdplMmaAYxa72WWUdf+4WJI6xSHyOdJRkXQYA/Zo2pjF0EAxL5CWU9FubYzMvJgC8Zf1zlJU7\nGUXDL4Gmufut/Vg5VLGSAawDsFuGIulqSuKAj6Hu2ZdhNTQh8xt3wDV6KFyjhyoA4D1nitr48jsP\nRbbveZAUcS9b8rkBH5zNgGIvBcaZgQhe5zY6hGW09pe9cGhj0wuIKF2AnhunzXap1HXaFodwosOb\nBQBRGUEQraJYHRfT9VRKE3usLR2/T7cgdUCkzA80b2Cn6pNKP6ekGZt5MY1OX4Daqk1y+aJHuWzD\n85Haw1tgWUa/9tMVzIxDFSv9lhn+ITMzaerfg+u2DPj1L7BsLcJbd6Pq0d8d07c+KBvpd93k8c6Z\n7oXkZwd6XDYDj+2xijP98etuem8tmj9Y1/G208+MiBS0PbEVA/g9M6/qh65tbD41KFAfyRaDHcki\nvVf1dluboEKzkkRaTB6mrdZaCAhO0fNDtdHyRYLUG/s04F5SFyy3snzD43LNz0sqgVPzifWHXg3X\n12xb0dSwN0NKszg1fYRVUHyB2+PN7HPblhmBECraVSROoLlxHyLh5hYAiwGAI9GtZmOLRD97/Hoi\n7Us3ou4PLyK6r5Ia/voGUm5qy8PIzKj59bPByL6KVnI63hrIMdmcGmzDKp5w/8RYJV44BYkXtsU/\n7rrmwU7FBJnZAjCeiJIAvEZEY5h5y0l3bmPzKYCIBgkotw5Rx/ZKUdKSFg7KPTxYjIjpJh6RIRyS\nezE6YY6oDG1VAaQrpMbdu2JYIRgypA5Omhy3PtI9RThn8Bec+5vWza5s3mQxy7W1h7dsrq/dfkvJ\nlDtdCUl5vWpvzbJfmU5XktpQtxMAkJE9IVA4dIHH6To2kL/64NqAtIzfMXPbtZEogTS1X4NbzaYW\nWI0tcBR2LXfhmVoCNTMN1Y/8Fq0fLodv3kxo2ekILF+PaEVVNUxrhDTMgXHj2ZxSbMMq3gywQ5qZ\nm4hoMYCLANiGlY1NDChQfzxIKRYOOiG0qlu2WqtYQPAQZVxMN/KN5sfSITyc5x6lNEQPWs1GjV8V\netw9K/ubN0AhTXr0lLiGf7i1JIxMP18bmnqOVlr1xoy64L5ZUhp3lJU+/5tp53zTLXqxDJmTN03d\nvf3NI+9rqjZ4aqo2YGTJjZyeOZaICNIyUHt4iwrw3wCAiIicjtvdE0af1DzNukb4l62BUVMfCK4s\n9QAAVLUVpukDAO+c6VEtK03XcrOg5+dA8bUVURK8R9o49L1fIvmzC9H0yrsNbJq3MbNtVH1KsA2r\nswAiSgdgtBtVLgAXAvjZKR6Wjc0ZAREVK1CvK1JG98pbVWNVokqW01h1VkwK5E2yDk1cJ6YlXwUA\niMqwAcBUhaN/g546obp1u5XgyBywpTFV6Jice63YVvuhUdG8cb5lRVYcPLBibl7huTEbPLkFs5CT\nPxOmEYSqudFYvxub1z2DbRtfpMiwi828wvPUmupNEEIttczIgfZqo0hVEvVuPEtdIUNhNP79LfZ/\nvOZoI/nvAN4HsA2muRXA2wACgeXrdkCIizgSHU0OPZp25w1u9/hRUBK8UJISQlZTiwsAGv/2JgA8\nyMwf9XpANmcsdvB6nBkg5fVsAIuJaBOANQDeZ2Z7Ld/GJgY06L8crIzUNYrdrorKCErNpQCAoGw5\nJgFzV2w0lllJWpZMbs/ZF5VBCcBUhR53XQCvI52awgc5EG3ouXA/UpQ8XZNsXWOZkaf37/kgGo10\nnhi6K4gImu4BESElbShGT/gcADL3711kGEYQ5bvfD5tG6OGjqkQA9LgZgJkR3l2Olvc/gf/jNdh/\n27dQcc9DCKwqXQHgpwD+1F70y8z8D2bexMwmM89n5itlJPptGQqPZyk1Dkfm1T31Ymtoy06QoiDz\ngTtd5NBNEK0CcAWA13s1aZszHtuwijMDIRDa/qOfwMzjmHkMM/9wYGdpY3NmQkRjGLygQBnRq2vh\nemOJpcEhCzAMe+UWXmy8Ig9Z+7osX2nuRgRBZXzigiP9RGSIAEhFaHEPGBiftVAowiErmjfGu6tj\ncKgepLsLgwA8AP1x++aXInU1W+FvOQTTjJxQnrl7AzUa8UNVncsB2rm19AWYZmgNwP85qsheNq1A\ndM+BLtuwAkEc/slTgZrHnznY9M93nm7425v/7DgnI9FZzPwdZr6TmYmZw102dGTMvIoN44q6P74Y\nNKpqoWWlI/vh+1RSldEgmgTgmp7asDm7sJcC44yd38/G5vRFhfZ4kTJG705eoQMpJT423rB0OJVW\nNCrTcD58lIxCHkXbsQ5bzBXYZZZaY7WZSorIPKbedmudzHEOF07Vc+S4KSMOQUpB1Ar1agmyr7i1\nROGP1DGAAb0o5SdN8DSGDz5gWpFJLU37tdaWg+OYZYG0jExN94QTkweLpOQib1PjPllbvVGct+Cn\nXbZVW70pYJrhlwFe2dpc+SXLij7O/N9HTmaWpKqPNL76n19kPXDnCYJaLCVqHn8mYBw8/Bc2jHs7\nAt6JSOAkImKZeZHidX+j6kdP/jrttmsd7kljkHDReVrzmx/+oL39JgB7AHxy9Hhtzk5swyre2IaV\njc1pCRFNV6HPHqQMjclbtc1cAwMRIWFZmcgTPkomAFBJxRhMo6Fcgs1YSWuND+FFklWizVY8IgE7\nrPUAQGMS5hzfpCLZWgHgErRlTYgrHi2FmsJVJgb4up/mLoIgNReIjDHNyD0dx4lIjUZaxtRWb5pW\nX7PtFimNGQAgLQOdBbkzM5oa9ngALGXmTQC+0GmHlvVMdO+BH0cPHHLr+TnHnAqs2gijunYXG8aX\n+Sj3GPfkKosByx98iojW1/7++ZXe86ZJ6Q+Y7sljTS0302NUVj8ZKa+EDIT2ENGdzG3y/TZnJ/ZS\nYJyxcwXa2Jx+EJFQoP7vCHWiU6We7YyoDOMg78EwlNB5dLkylqad8MTkICcm0xwxDReCYeET4y2s\njr7PFXInhvmmkzhOh8mnpYUAOOqC5aYl479hLMGRiagVGPAnPSJCYfJUtyocDxx9vD1mqZSZ/2hZ\n0Zkdx5say7tsp52N7bIyncLMEZbyiZYPPjlhGS+yY4+fw5G/9Ich1UXfqwAM9i9dZQZLtz4W3FD2\nTMs7S0Oe2ZO9uT/7ljflswvHkdu5WDgdLxNR7/QnbM4YbMPKxsbm08jNTvIUZIvCmK6BG81lUofT\nGkRDeizro0TMoAXKeMxGE9cSAAz2nJhGZohnUoKA8jnJxqLtdYujvZ1Ab0ly5sBio8udgXGyNQAA\ngxLGkmTrYiLqWimUxIsA0LYq1zl5hed1/Dmp2w5N68XQhrITgtjNukYTwKGeR9x3mHk/GE42rcfY\ntO7jaHRu3VN/bQ18sg6e2ZNp0C+/6/adP3Mhaep20tTHSFMfFi7ny9TdxG3OKOwPMt5wP79sbGxO\nCiLyCihPjFanJcSS2q9FNqCRa8QYTItJrsBkE1t49ZFApklJl3VaLt1RAK+anGtJa9Wh1q21lS2b\nY55DX0hwtO1GjJjBI8dqA3tw2L8T7+76Of6z+5c42LIFaw++jLpgeb/2rSlOpLkHS7TtkusclrMB\nQFW7XhUtGnYx8ovmgUi5tIcuy9m0zEh55TEH3RPHJJLL+ZWYB95Hjov7WsVRY2bD397cd/gnTwUD\nqzci8dK5jpzHvuF2l4y8D6b1EIcj1wDovySONqcU27CKMwMkt2BjYxMjBPorgRI5xieVTcZyy4ck\nmUKxpbrZjJWyGhXYgGXwKalWujO/83EQoSRpvkcQfd9i4+7tdYsjhnXiTrn+QhEKCIKbwgfBLNEY\nOoh1h/6JDVX/VQPYcvid2rrgPqw9+BL+s+uX8t1dP0fY7J1EQmdY0kBj6CAAdJdq6xEAOLB3MYKB\n2i49aMmpxWC2vkpEY7tqiJkNSPm1wz/9Q7j+uVeCkfJKMDMcxQUEoPMPJI4w8xYOR4ZF9h54sOH/\n/omK+34oyeFA+j2fcxc8+zMkXDpXCrfrnp5bsjkTsIPX443tZbKxOW0gonwAlzjhxhrjfTjhsUaq\nU5R0JafLOmEEaDhKYnoI9XML6lEtJiVfCgEFPq37/IEeNQnDvDOcu/2rf8bg1/c0rrhqRNqcuAmG\nMiSVVr3BgoRBJA4D1AzwFQD8AMYyeBHadaAYUgDAqooXw8PSznNk+0b0+cluX+NqiyGXMnNpl2Nj\nfpZINNTVlL1WV1MGABgz8VawtCClASIFWzf+FQBApBjMVrfLpzJqPEdE//Gv2HBXYM2mOyBlkvC4\nTY5GU/o6j5OhfQfi40T0BBH95vBP//D5rO/e5RZuF4THJUDoe0JFm9MK27CKM7aXycbm9EGB9pt8\nZRiGahNEULaizFgpNphL4DQ91lhtptJ5AmZGrM79LVhlOYWX0h0FMa8G5LvHoCq8K7/JOPxCedOa\n61sjNaGSrIUuXeldep3ukCzx3p7HAQAM+TWL5Ussueq4Yofb/yUi6rA0E0Jm8w0bq//1UJq7EJrS\n+82LIaMF+xpXGRabd/VUllm+TkROgP4M8PU7Nr+8EkQGS6sFRCmKoldaVnQss3UlM+/ouT0+BOAH\nAH5ARFlWtDkLQHWvJ9GPMLNFRPeZ9Y0ZlV9/7HLF541aLa0mR41vn8px2fQftmFlY2PzqYCIJqnQ\nFhSqY1QAcAsfpjgupKD0Y7OxjNYY78OLJGucNkvxisQj9RggEaP0UzLSRYXcTesa3uZJKZfEVImI\nMMI3y72m8Y2vWWyWNIYP/rkmsGf8oIQxfZnmCTAzymr+EwTgBnAtM79yVN/Uma5Su0ECAIeI6BFV\n6DkrK56/aVb+rW4h/nvbMKwwgkYjVOGAR+/cEbS9blEYoN8wc3mM440AuKH91W8wczVOsVHVQbtx\ndT2AAjPSkAZgc/u8bc4CbMMq3thLgTY2pxwiIhXak8VqifN4MVC38GKa4yLRIhuxOboMy41/I4Wy\n5Dh1lqiS5WBISkN2TP0MwRiqxB5O1DN65apO1DKgkOa22LQIomFH3eLg9rpFZElDU4RmFiRO1IpT\nZimxBNsfT2XLJlT7d1YBmMDMRwKmiMS3AfyEiFKYubGr+szMRPRFyc0z39vzq9HZvpFoDldFI2aA\nJEupCLXSlNHBE7KvUDK9Q4+pW+PfhbrAvqDFxqO9HvhZTrtBW97+sjmLsIPX4w7188vGxqYPzFeg\njR2kDOvyR5QgkjHLuVCZqM2Dn5t4ifFP7LDWIRdF0Ci2dH5lWM0KaTzE070awPEQEbKdQx0KaTdb\nHL3AkOHPWtJQfGpaSINu7mlcSeurXu212NVh/y6U1b4Hi6MLjzWqKJsgfpjoyLIUob9L1H2iRGZm\nydZsQcrTVa3bEDSanrPYmMywPIYVLlZIe/1QSxm21nzAZTXvhQPRBlS1bsf6qtdgsfFjZg70duyn\nGiJK6un/xcamM2yPVbyxPVY2NqcUIlIUqE+N1KZ4RAxSQWlKDuYo1yi7o6XYK7fgIPbCZBOjMRnd\n1Q+yH7U4ROMTLqK+eJaynMXiYGjHjQBCAB4Z5puOQs94HQD2B7ZgW+tS0RKpQYIjI6b2TBnFhurX\nAeAxZt523OnnGJY2Pe9mfLz/mZKgNO4H8JPu2mPmJgB3tL+OwWLjqbpgeRMI4ywZVSqaSycedfrX\nMQ34NIIUcQ6ApSCKEtEYZt51qsdkc+Zge6zija1jZWNziqHPucmXkS4G9apWsT4eo5RpAIBaHJKL\n8Rrv4TLILmQA1uGj9hN9+6F61ERINlOBtnXHXNfwI+cKPGOgk9sorXrDNGXPWqKWNPDB3t9AFfpb\nAL7fSZGluQljIrvqlxkR038Q4Kf7NOh2mOWHpox8wbQiU5l5EgBFkLpBIe3BMy03HhFdKXT1nUG3\nz0PBlxcowqGuIqJZp3pcNmcOtmFlY2Nz1kJEuoD45Qhtiqe3XiQpJXZY62S2PhTnJ98iCl3jqRw7\n+CP8Sx7kfceUreNqRBASKcjg0ub/4KOa563GaO/ipAkCDFYJtDXHOTyqi2N3BU5MvkQLmS20aN/v\nrYrmUnRnr+xtbEtFZ8rojzszbAh04cGWLY79TesOWmzMYObaTsdEdBcRBYliXAtth5mlJY2Jpoye\nktgqaiM24bFj67UCeDXzM1M82ddMQ8YlE5Sib1+RLNz6f1SP84k+uSJtPnXYhlW8Yerfl42NTcwQ\nxN2JIs2ZLGJbPjuandZ6SEga45kNIQSGuifj/ORbKFMvFNuwDkv5Laue2xQKyrDaSqVsOUk7n2Yr\nl0OXDlrV8CqW171kBc3mmPqTbIEgoio5Lk11DDrBkEnSM3B+xu1KpmMwl9W+z4vLf290ppBeG9iL\n8qY1IYDmM/PKzvuScwHoFhvFzFxz/HkiGkdEfgD/A8AFoqDQ9BOWAE83iEgQ0d0AJIAaop4TQRLR\nHCLKJEGfB+AFgNxbzj1yPnn6UJQ8d5fHkZN8u+LWNxPR5WqC6zE1wfXzeM3D5syGzjAv7RmFcOic\n99SP+rXNA7d/K8jMnn5t1MbmLISIEgWUimn6RT6fSO5V3aiMYkn0ZR7mnkqFrnEnnI/IEDa1LpYN\n5kEhICAhMVe5Gqr4rz3ULOuxxVphBdGqpOn5clzSBUIXzi77DJot+KT+H/UWG6mJWibPSL26yyep\nsOnH+qZ3zRazViQ7B0WGpc52efQU1AXLUVbznt9iYz4zr+hujkSUDKI7wbySmT866jiBxB6wLEwZ\nOzPszS12OtOysffV34ekYXzdioaf6uG/b8Ahogy0xQwXAFjefriYmfd0UV4AGAQgDcA6UkWYNBVD\nH7zamTB+cKd9sGTULynDvl+82XZAEKse51LTH34TzP8GsANABjMfbvdsuZg52GljJwERudF27z7j\nNgR8WrCD1+ONbbfa2JwSBJTvZYg8tbdGFQBsNj+WGjm40DWuU+V0h3BhSuIlotWox/KWV+FBwjFG\nFQAkilTMEpcptfIQtkZX8aKa55DrHIHRCefgaC2oDgwOgSBaAPyE2foBgMQTCrXjVL2YkXq1Wta8\nxDgY3rl9XdWryZLNDEFKg8XGpcy8qac5ClVforg8Ywx/MxPR6KMEN8crTnfGyFu/D6HpRyzBIdd8\nxbX7pd/8ihTFASmfbFcSPyUQkQvAVABoNwpXAygQLn2NDEWRMGFwJLCz6kkAF3fRRAGAvQCQde10\nf/Y107zCqUPoXd8SSRDS5o1BYPshaElupC0oIX9Z5XnNa/dOa1q564dmMKLBktrRq4XHrRyOBlDX\nmYcwxjnnCof6IoBzSRGm6nV+bAUin2Pmg31pzyZ+2IZVvLGX72xsBhwiyhVQvjxMm9Br+fJW2YR6\nWSUm+S7qsey+8CYoUOV05eIuwyrSRQ7OE1cqFdYu7AqXykPhHVTkmUhDPJMhxH+rVYf3WAAvAbCe\n0UWE/FEQEYYnzNSqIrtHmDIyqZOdf90iLfMRDrY+D5ZuADcBeLD91Axf/nAhtGMNRUdSOoquutu5\n68Vf/hpCfJ2IbgSwLh5eme5QPc4HSVO+68xNMULltV4iOh9thhJkKDpl8lvfghWKOkpv/O1cIkpq\n3814DMy8T6jKq94xeZfm3TbX25v+C+6ef+TvlHNHIuXckU4AiNa1wr/jEA69uEyG9taIoY9ci5b1\n+9C8oRxWMMJGXWsZcMTYSmPm+lj6IyKHcGpfEg7tZ6nzRit5d54PEkI99Ndl5x5+a90SIioZ6M/A\npntsw8rGxuasQ4H2izxlqOqk3q+abzQ+srxKCtL0vG7z/IWlH1XR3RglpomjDaSuyFOGIpeGiD28\nGXsD67g8uJHHJswTWa4haIxW40CwLGKx8T0CfSVZz4nJINSEA4Pd47Ty4KZvALg9thm2wdJ6lYiW\nAvAerYouHK7zPblFnfbvSsvBqDseRcPWVdkNZavejLY0eFSnu5aZ35TR8KPMXNmbMcQCEf0AwLcB\npACIkqp8e9QTtzjcQzIdLaXl2PnQy29z1ETChMEYdOsckCKgep3wjc4LtZSWXwnguU7nb8k7/Fsr\nDxrNQWiJ7pMep57mQ0racKTMGn7ky5A0tfjINCLVTah4ehE3frKDANQJTSmVhjWhh7nrAMIybCBx\narE1+N6Lj3wnc289T4nUNOe3btz/TyK65EzbfXk2YxtWcYbsr7qNzYBCROMUaFcUqmN6ncy42tyP\nILcq53iv77HshpYPpBNuzlWKujXAjkYIgaEoQSGNpqXWa9gdWMMtZi2XBzaFGPJmACGC+HKBe2zX\nwVjHkaxnqweCW6bEWv5omLkOQN1xB2e4swq6rKO6PMiYNE/JmDQvUVomIg2Hsxu3r72tYfOKz5IQ\nV7CUi/oyls4gonlQxENCUwSAchk1n2HTcrkGt234Sxg/GBNf/pqDNOX4ZTekzR+XFNhVdRu6MqyY\nG9QEd0XkUOPQ/jCsesKRlYTi719FAFC/uAz7f/+fHu8OzBwlokIA85pX734mtL8OroI0AG2er8Kv\nXqJvufuZ89AYuBLAq3GdgE3M2LsC442tY2VjM2C0p675n2K1xBGrWnoHUkpsNVfKDG0wu9WEbss2\nRqvQYtWKccrsmI2qo1GFilwxhPxmAx0IblkrYRZLtl4H6IY0R77qUZNiaoeZsdu/Jmix+X99Gcfx\nEJFTGtEMZ3JmTOWFosKVnouccz6jFiy8zafozrcVh+u+/hhLOxmJk4oCE1/9Og378Q1ZqXNGf80z\nIueYoG2hqycYVQDgG5sPaVgTieiEz4iINFKVj63W0FC2elx17XfCFfVSGua7sZRl5nIQrgSAaF3L\nMeeEQ0PGpROdwqVfE4dh2vQR27CKN7bcgo3NQHKRCm18njKs19e2vdZmWDBprHdujz+0jf5FVhLS\nZaJI7dMgg+xHjawMCCh/NDk6qz1BMACmgNmovFf9R2xr+bjHdg6GtsNvNlZJWL/t00BORIIgWfY+\nLt2XNwxDb7jfQUL5iVC1XxBRWj+Mx2k2BTRIhm/UIBR9c6F71K9v8ZDS88erp/mgJXsYwNEq8Gg3\ntDJgydkA4B3VO+HY/iCw53CAo1Z5T+WIaAYR+VjyQuFQm5z5J/6XpswZRWD+DBHNjsdYbXqPbVjF\nG9tjZWMzILSnrvndiBhT1xyNKU3ss7ZwoWs8qZ3s2DuaitBWRDiolCiz+3T9jHIEn5hvIozAPovN\nLzGzSUQTdeF8iyAKA1aTLmFhf3Bzt+3URypR1vJR1OTodUfv0COiQiIa2RcxS2aOKppjX6j2UB9m\nBuiJqRh24zdcicUl9wjNsZuEmNGnhv7L3wO7q42at9b12q1U+26padS3qgD8HceIyCNc+i7SlH2J\nk4sCE176KkgM/AOr6nEA1H0oTrsG13IALUTEwuVw6Km+E8rpKV4M+c4VbuFQ/xmn4dr0EjvGWMVp\nHgAAIABJREFUysbG5mzhIQvmkL48gJSZn7ACjYc4J3Z7l5VSYntwpcylom41qbpji7UiANDrAH8O\nAIjoUoW0V4Z4JzubjOq51eE26aUhnkkSnTz8MjMqQlt5a8tHRKBvM/P6jnNE4nJStb8pmoMtIyJJ\nKEGw/AmA/2PmmJRKWcrltRuWDJNGBL6CEb2en+ZNRP6Cm1wt+8pcB959YRERncfMq3vbDhGRcOl/\nEQ6NfWPye23Elv/mHRVt97jtRw4Kus03Ji9n2A+v0wD0Ogavv0icOsTXtGbPjWgTYAUJcb7icXwe\nUoIZLWBWFJ8zh01Zw6aVNui2uSJ5xlBXV0Zg4pQhYMmJRJTelYq+zcBhG1bxxvYy2djEHSJyEsQ9\nLvJwqfkROU2PNVafpcSiuB6UrTgsK6jEewH1tLtvW7BNe3KE6FOsOOrkIdRzlQfAF5iZiagEwFsT\nky5BqiMXQMnRUdSdDmZvYJ25N7C+HMCDDP470C4aSfQqwAuKPvNFeHKLEG1txIF3/uILVu9/ghTl\nF4rDdYiI1lmR0EsA3mDmcGftSyPyI3/FrpbW8m23FF35pURPTlGf5ppQOBrZsxc6q1e++yMA83us\ncCKDSdBl4567y6U4e28DpV80HrXvlkLxOP5CRL8GsEHxOWcIl+7ow1j6laTpw7D3Z/+aRYr4ndDU\nCsXjeDj35tku0lTIUBRo39noGZoNZ15qj141IkLC+MFmy4byOwH8eGBmYdMVtmEVb2zDysYm7hDE\nPSki0zHJeQGFZQAbIx/Tmuh78FGKLNHOEW5x4hJKBxuNpZZbJCDLUdhtIHpUhlEZ2YbhYlJM8gqd\nscVaaQFQAEwjoqUaOX6V7hjMqY7cmNajIlYQ+wKlhsXmzcy8CmhTERe64yUZjSzInXM1PLlthpDu\nS0bxdW1x5GxZWqi2ssB/cE9By96yi0K1lSASn2WW/zq+j3a18vuIRG3j9nXf9eR0Lr0QC+7swYC0\nRvWx+gQt1UvBvYfhGZIJ4eidceUqajOqk2cOv75p1a6rrWBknQwZaY1LtwHfuaKPQ+ofFKcGUgTY\nkl9WfM7gqF/9P5ee3v2GieMJ7KyClupFx/Jg/pcu9JTd88z3iOgNZt4Sj3HbxIZtWMUThh1wbmMT\nZ9pT1zw8TJ/kAQCn8GCa6yLRIuuxKfIxL4u+gTSRw2PU2aQfp45eZx1CKzcqMxOu6rGf1c1vMUFQ\nFuX3aZwRDsGCaQAYD2C7gHKrJpwzxyTOiekiwczY2PxekCF/12FUAYBQ9UcdiWlzhlx7H4Ta+SWd\nFAXurAK4swqQMWmeO1i9H3tfe+rvJJQ7WFp/7aLHl5t2bvhuzjmXQ2h9c/Jobh8sI5LRHu/VkYrF\n31M9IsoF4dLwgXrn9q8/j+IHr0byjGG96jtz4SRkLpwEAJqMmtrB55dO0VK8evrF4/s0l/5m0psP\nILS/Dnq6z616er+svPcXbyJcWY8Jr3wNqscJxalBT0+gcEX9RAC2YXUKsXMFxhGh61zwq5/0a5vl\nX/mGnSvQxqYdIppOEPdlKQWfGeuY3alnpdasRFl0uRVFRMlVijFSmQIh2pxTS8KvWF41laYkXtKt\nC6rFrMOK5tegkVMaHBbZNBgjxRQoPQS6H81ua6OslHtejnL4BiLKU0jdNi3lKk+CFtvmuf2BzXKn\nf+UOi40SZjba5z9Xcbj+Pezmb7k0T+88HqG6Q9j72h+CMhJ6nKX1UGcCk6rT/U/Nmzg/sbjE60zL\nhjuzAJq3y0w7J1D54Utm067S161I6FoiYoDWMMupXZUnIc5X3Pot0rAmJU4sHJ40fajizE2Bd/Sg\nTiUVPs1Iw8K6y9vyQDvzUo1IdROTpvxGBqPf6/h+2JwabMMqjghd54LH+9mwutc2rGxsAICIHgPw\nHQA4x3kVXKL7n8UBYwd2Guskg2mIMpYEBHZapTw3+WbqKRB9aePfLU04MTPzBqUysBXbmpZKCYsG\ni5FURGPQ09Jgk6zFemux34I1GkClSvongz3jpxR7J8ekg9UYrcKahn+FJKzxzLyzff5eAK0ZU+cj\na3rP6Xc6wwi0YNszDwNAJTPnHX++PVnxFYrDdS5Ak6QRGS80B7uzC0xv3vAkT3YBOdNzIRQVhr8Z\nRqAFIAIRoWbNB0bzvjI/LPOrAHIBPAZgJDNvP76fjvkIh3ogeebwRMXnDOTdPs/XXe4+G8BsCWLD\n9b8BCH8C4+vM3Hqqx2RjLwXa2NicgRBRAtqNKgA9GlUAkK8NxyBlqNhlbsAecxMzmHL0YT0aVVWR\nPQjJVmVKetty4SDPKOS4Rog9raux17+OD2AHD8ckkSs6D/IOcxAbrWURCb6ZmQ8Q0fmacI4p8kyM\nyahiZqxp+JfF4G8cZVQJoTve9uQMiaaNm907JdSj0DwJyJ69EFXL3hxERInH7xxkZok2Re9X2/sl\nKxIc1lq+bYa/Yte5pKhz2DQGqZ6EiBlsJRKigplBQnFIywwIkEfRPX8yogEdwAtdGVXttMqIiUG3\nz4We6us6KM7mCGqCGzk3zTaqX1udZwUitlF1mmDrWNnY2JyJRAE8BADnuWIXnRZCYLg+CZmigABg\nlLt7TUUpJbYGPpaZzuJj1NiFEBiaOB0XZH+RMl1DxFZrFZYar1sNsvpIGWbGIbmPl5v/DlkwH5Vs\nvQEABDE13VHgiFVrK2A1gYiaGfKpow5/VnF6Jgy+7PO66u5VDuETaNq10QJRK4DBRFTcXVluYwcz\n/580jdusSKiIpZVmtDZexJaZbkUjI6URHWlFQkWC8YLXl5M5ZfbXOwy/23oYylQA2Puzf9kJhXtB\n9nUzNNXrPIcE2errpwm2YRVniPv3ZWNjAzBzWIU2rVgbbzmod5vWwjKIalmOMZ7zoCjdO432hNfB\nYovGJl/YaYCPIlSMS5mPuVm3w6On0DprMVYYb1t+2YKt1urQdmvtXgvmLJONI1vgCdTQbBxGmzOo\nZ2oj+0EQH3TEQKlO96NC05/JnHqhTqJPGXWOUL9lJYcOH1DAfAhAKUj0nCTxOJi5hZk/YeZQxzEi\nGgLQgyPGXufWtCMKEtH25cuu2lkD4Db/9oPOqpdWIHywobdD+VQidBVDvv0Zj9DVp/tJ7d7mJLGX\nAuONvSvQxqbfIaJpGvQ5BerIXlsWGyNLpVN4ONc5rNu6poxiX2gjD/FN7VGN3aG4MTX9KtFq1KO0\n/h2ssP4NAkUZPOH4uBcJ608Bs+n2JbV/GelT0zhZz/am6DmUpGUdE6BtsYGq0G7s9q/2W2z+FABU\nl/eHisP9wJBrv6L3Nli9g4atqy3/gR1hMxxk/4EdHYbOcADbwfKdtiBz3MHMT/fUFhG5AQQAQCj6\n49KKPgggpCiOF/KHzHO43KlobizvKH5vDDsCXwQwqfK5JfdUPrcEk17/BmTUhNEUBJsW2LDgzE9D\nX3Stzma8IwchbUGJs+6DzX8lokuY2eprW0REpGvfghA5HI58lWN9ArA5gh28HkeErvPgn/+0X9vc\n97Wv28HrNp9qiIgElD0j9CmFg9ShvarbaNViTeRdTEu4HEla94mG17e8x41mtbwg585eG2+fHP6b\n2WrW/ZqZHzhq3AKAaE9howIYAWCsQupMAn3Gp6alTEi+yKMLFw6GtnNZ80cmkai12LiQmbcquvO7\nitP9g+Jr73X2Zmfe0bTu38773vjfY572MqbOh1BUVK94+5iyzD0/FbbLKEgASMsYHWyo39Uqreg7\nLk/6tVNmftWza9u/QtUH1wpmeT2zfCPWcRJRMimi0pmXKkPltV7h0quJyLCCkTzf2DxrxM9vPjlX\n3VlIpKYZm275HwBoYeY+fUGISJDT8axwu64nVSWr1b+cQ+ErY1Xtt2nD9ljZ2NicacyWsApzlCG9\nrrgputRKUjIpScvsNgwiYDaj1thPE1Iu7dMN3Kl4A61m3YaO9+1GVYcXgdpz+21pf/2NiL7WYtb+\n7OPav30p1TFIqY2UN0tYc1ia24hICFX7juJ0f3/INV/ps1EFAB1G1bCbHoDQdJCqQXP70LhtDQBg\n2M3fws4XfgYQ7eyprXZvVRaAbakZo4pGT/icu6Ful7ti35Jrh4xY6Gls2Ivqg2stZiuzt7vVmLmR\niEaHymuLAFRYwcguEvQ2gDw9K8leBjiO6tdWo+JPi6AkJUiOGjoJMZ+lfK8PTd2gJCZcm/2de52k\nqmh46Y3ZgdUbyojogh42HtgchW1YxRvbIWhj0y8QURaALIJ4cYQ2RQrqnfx5pbELEQ4q0xOu7LFs\naev7lkdNRqarqE+GlUdL9tRF9h+taHl1xx9ERMdrRrUbWl8noreqw7tLALzIzDVERMLhelXzJJxf\nePkdLt2X1JfhAACkGQUA5M67Fs7UrGPOJY+cguSRbWl6Ci69FQfefSGnszaIxEWq5rqfWeYTiSJV\ndUYMI+hlaUUBICVtKFLShnoAoMZ/GMzSCdD5AF7v7XiZuRxAeVu/NATAxQDgKc6yY4PbkVETOx96\nSbZu3C8SL5uPpEsvFOGde5w1Tz7zEhHNB1DAzC/H0hYRKeR0fDdxwVyXcLbtlE298WrNUZCX2/DS\nG+tIUW5ky4rZ6/hpxjas4owdcG5jc/IQUR6AAwDAkEhS0ntVX0qJ7cYamasPF07h7rZsbbQCftmo\nzE67qc/jTXXkqeX+DQ8T0Qpmfg/AE+2nijsT4uyAmRcDWNzxnoRyj+byXjj0hvvdQj25uCKh6ii6\n6m64M7tXjq/fvDzIluklIu1ooUkiIiG0l4uGXez1eDPh9mZAVY8EO50g+ZCRXQLd4VO3bfr7C6rq\nXGJZkS8wc/Xx5XqCiIoA7O5437KhHJmXT+5tM2cdVjiK0puelCyBrAe+Akdh2+fqHDYEjuIid3jr\njg51/lg9fFeraamDPdMnHVPeO2sqtJwsd83vn/2bcOi/5qjxAzvuqntsyz/ecD+/bGw+hTBzBYAU\ngvhBqsgO+ERyr+rvMNYCAI3ydC+vAACb/UusNEeB9GopfRorAKQ5jhgvw9v/HYm2+Ko9AEBEKhGN\nIKJB7fFWx0BEExXd+bZwOH8+eOHtJ21UdeAdVAyhdS97NfjS29yK02MAuPS4UylSGt6s3MlISMqH\nqvachiUppQhTz/mmJztv2gVCqDuJxG3Uewn1GgBbO96w9em+p0tL4vC/1qLs7mekjJo06JcPiw6j\nqoO0W2/o+ML0nIW8HVLVae6SUa7OHMGOwnzk/OB+l5adeR859EVE1Pcfx6cA27CKN7ZhZWPTLxBo\nNoDvD9en9GrzRlRGUGHtxDD3FOpJIX1faCMMjojxKRed1LWRiJDvGRsFKAk4IknA7ec8QnOsVlze\ntUJz7IAQQUV3/uhIXaFcKzT946wZFy8Yccv3XY7kmO+N/ULznk2WNCKtpKjfa19O6qCJSAmbRu9k\nphRFw5DhlzjGT7vL5/Zm/FZRnWuJaGSs9ZnZz8yjmZlAeKyltLzPO97OZFq3VGDbN1+Q6y7/OR/4\n30WMxDTKvO+L1Fl+SCXBC31wfguAGbG0TYryHTbN+x2D87v83iuJCch64Mse78wp00jXthLRxL7P\n5uzGXgq0sbE57SGiLAHlH6P1GQ6v6F3w9qboUqmTkwtcY7uNl5LSxK7gWi7wlJAq+ixmfoRM1xD9\nYHD7HQAePfq44nS/48kuHFFw2eddRAJGoAXbn3v020T0LxLKuYrD+cOiK+9yudJzT3oMfaH1wA6D\nLTMFQAqp2iUA3gMAZrZUzbXN31o1ITm1Wx3RTvEl5GLyzPs8hypWTti74521QihfY5ZP92pZifG8\n6nPeA6DvEfxnENGmAA7+ZSkalmyVMhQVanYmUv/f9eSeOqHHNEqeaRN8RvXhzwP4V48dSRkCAOeY\nEd0WI0VByvVXOB3Fhc76P7+0TOj6vTIa7VGW49OGbVjFGTvGysbm5FGgPpmrFivZamGv6rXKBjTI\najHZd0mPZbcEPmZBCg9PmNUvu85cSgIkW8e4m4joIs2bNCn/kltc1K68rnkSMOiC66nyw5c+caXn\nhvPm3+hyJPUuhqw/yZ1zjbNp+zokDh0Pf+XuBUefY2mu9rcc6pNhBQBEArn5Mykpuci9bdPfHw+H\nGu8hos8z8/oYm1AhxFm9K9CKmjj82mrUvF0qjZpmITxuyzNzupJ06QUQblfMnlTP1InU9Pq7FxHR\ncGbe0UPxUuF2RSGljh5EcwHAM6kEWnaWq+Z3T/9GuF23cii8kJkbYx3b2Y5tWMUbWyDUxuakICIH\ngKvTld57cEojSy2fkopUPbfbu0VY+lEV3U1jky7ocbkwViqDW6Ug8UrH+7bYb8efcude7RbKsZfe\n5BGTRdLwSaI7ZfKBwgy2KSOkjZuNln1lxyRmltK6oblxn8wrPPek/pM8vixMmnmvt/rgurF7tr/1\nsaJoL0hpfjuGm3NEBqNnnTqotCTqF5Xh8OtrOLTvMJGqSueo4ZR2523QB+X0aWeq4nEj8aJ5juZ3\nF/0QQE+K+h+xZW0Lbdle4i4ZHVP7ek4mcn/4gLvhlTcnB1as20RE85l5W1/GerZhx1jFGzvGysam\n1xBRFhFdSESkQH04WWQYKSKrx3pHU2WWI8Stynjv/B5vTKWtH0qn8Fm5nphDf7olbPmx318atdh8\n+KjD+SSUlITCzm9cvY/pjg+qy4PMaQtgBFuhOFxlROQgoilE1Axwor+1ql+EpYkEsgdNoWnnfsud\nkT3+RhLqXiL6Qg/VktVkz1kTYxWpaca2bzwv113+cy5/4m224JTpd9+G/N/9RGTcdSvpgzpVvYgZ\n76ypBCkXElFBd+WYmTkS/V//8jU9KeMfA2kaUj97lSPl+s9kk6atJiEWntSAzxJsj1WcsZcCbWz6\nRFXHHxYsOVafLSjGpMVAm7zCtuhKmakVklv1dmuxNEar0WzWiBnp153EcP8Ls0RpwztBAI8z824i\nSkabHIFPaNppbxQoDhcypy3Apt/eDwBTiUSrw5kYjISbfarm5rTMMf1qAWq6G8PHXOPNyp2MLRv+\n/HtVddxgWdG7mbkzkdJmszFw1jgEdnzn75bRHKbU224kz6QSEFG/KsorCV4kXDxPbXlvyV+IaG4P\n8Wx/D5Xt+KXlD0Dx9i65h3fWVEXLyfLWPPnMP4TT+QuORB7uTlbkbOes+YLa2NicHRDR8GOPsFgT\neU82WbUxt7HH3AgLFo3xzunRCNgYWGQladkyUe8+xU2s7G5dY/qNhm0Wm48QUSGABgDVAHaYQb/e\nvGcT2Drt7SskFI6WADB59v3atHO/lXju/Mdo5tzvU/GIy+LiXUtMHowZc76n5xfNO08o+kZVdf6a\n6LgM24J+mDpvtNnvnZ8iVJ9TaHnZ5J08Pm4ey8QFczUtM30S6doTPRTVAVgyGOqhWOc4CvOR/YP7\nXWp66gPC437ndFjWPlXYhlW8sZcCbWx6SzWBjgTbTnZfBI2ccnXkXawKvcMhGei2simjKDfLeIhr\nQo/JkytC2xCRAWVCyiX9ci2sCu7iff71TSZHLweJS0nVygCAVO1NZo6ylNdXfvCPTZt//00c+M8L\np/UvevDC2wUJhf3NlQPWpxAq8ovmqFPP+YaTwV8BcBkAEFEBETEkX5c0fWjfsk+fhjgL0sisqY+r\nlU2Kgox77/AIn/d2oevf6KLM7QCqEi+e59Qy0vrcl5qUiOxvfdnpGjtyHjkdm9ofLD512IZVnCHu\n35eNzdmMIPEVAKMY/BkAGKQNk6lqNmZ4F6rT3JchgpD1cfhVbAwvhSmNTtvYHP2EFdLkEHf3MjtS\nSmwPrpC57lFwqN2rscdCU7QamxvfD0g2LwSQS4ry4pCr7nZlzboMisNVBQDM8g0zHCwBgKYd60+P\noKpuUHSXbBlAw4qZEQzUoqWxHAA3A3in/VQFgLsgaEX5k+8GrUBkwMYUTzzFWZD++C9tKh43su6/\ny0269ihp2g0nFJDyaQBIuvTCkw4PIk1D6i3Xa0mXX1RAulZKQlx4sm2eadiGVbyxPVY2NjFBRIMY\n/FsAywFsB4CRzhlHrlFJajrO812njnOeh3p5yFoc/gfvjK7HQWM3qs39AICAbEGtrKSxnjk9xqps\nDy4HAIxOnHvSYzdlFBvq/x2QsG4BMI2Esjj/os+53FkF8FfsClihQNlR81QgxIbEoeNP+yUt1ZdE\nQf/hAeuv7vAWrFn2OLZufBHSMi5mZj8AMLNk5j9A8iyzKbiztaxiwMYUT6xQFBBiQK7samoyMr/2\nRSepynMkxLnHnf6mmp7WO+XXbiAiJMybLTK+fHuCcDnfEA79u31Q3D9jsQ2reGMbVjY2MSGgPHz0\n+wmu8yE6CVjP1oswz3eTUqSX0H5zG5cZK7ApuhQfh16z1kc+lB6RZGU4ut0EhagMoyKyHcMTZ4n+\nkFfY1rw0YHD0DQCvg8Sj7qzB7oTC0WLrM48gULmbWVp/JCInEV1OilpHoHGZU+ef9puHnMkZIhio\nHbAcMmkZo5CYXNRhcLZ0UkRIwxqh+lydnDrziBxqgHC7BuzKrg/KQdrtNzlJU189bqfgH8zaOjfL\n/v2oncOGIPv797vUtNTvkdPx5qcl7so2rGxsbE45RLRAQl4L0Jsdx1LU7O7Ko9g5ARd4b6Jxzjk4\n13sNohwWIfaLcd55PXqrNrZ+KHXhsgq8JSc99trwflSFdgUkm3cD+A5Ypg++/AtUtfT1iBloBkvr\nAgBzSFG2OdNy/5o5db579JceU5ypvZOPOBWkjJ6GSLhJBAN1A9KfJQ2EQ41RIrETne9al2C26peU\nhQdkQHEmcrgFSoKvX3cC9oR77EgkLVzgI4e+gohS2w+HACBaeajf+1NTkpD9nXvd7pIxF5BD30xE\nfVOXPYOwDas4Y8dY2dh0DxHpAMYBnADwQgDNAFlR7nl3khAqsvVCuIQPsz3XEIF4beu/ZV2067ig\nFrMODeYhUZK84KRvaJY0sLnxg6Bk83MAFFK1bxZddTeC1eWoL1vZAiCZVP0Kxel+PbG4JGvoDV/1\nZky5QO+vpMrxxps3FIruktWVa+LWh5QmGup2IhxqxKY1T4eMaOvfmOUIZt5yfFlmZlLE78IH6ru8\ndxlNQVjhaNzG258Y9a2WkpI04EtkCReep2tZGT4AdxBRFoDpSnJS0JE/KC79kaYh9dbrHclXXZpP\nmraBhOg5FcIZjG1Y2djYnGqmAfh5+99vA0hMFKnkFr3b/OVUXJjjvZ58IhXrWt/BJ02vSL/ZfEK5\n0tYPrAQt3Up1nvxNZEfL8qhk80Nmfk9o+hPJIybr7sx8VLz3YoBN4xZStS/qvsSvDL/5W878BTc7\nSQyoc6LXGMEWNG5bi4atq1G1/G3sfum3sIyIaG4qj0t/FeUfmx+//31sXvcs1ix7PBAK1j0rpXln\ndxpIbFj/499WKZvW7AFbxy5dhasaUfrZ36Di6cVnxGOo0RxiNSXllPSddMXFXnI6HgFwCMClVlOT\nMx4eqw6ICL7zZoqMr97pFW7XK8LpeJR6I053BtEvCro2nSN0nYd+/2f92ubOh+4PMnPv1NtsbE5j\nVNL+acE0cFTajTneG+AQfY+jabUasTG02ArIZiVNG8TjvPNIEw4ciuzGZv9inJd5K1yq76TGXRPe\nh40N/6mz2BgOYJTidL834pbvuWo3LDHrSj9+T0bD9wpV3zLspm869cTUHts71QSqD2DvK08yS4tI\nKFJRNHZ7Mig1Y6TIyZ0KVT/5nZPH09J0ABtWPSUBzmDm+ljrCYd2i9CUH2gp3qysa6Z7WjcfiNR/\nsNlxdJlJb3wTQj+9w9jWfuYXMvnazwjfOdNP2RhaFi2TgZXrotEDlU7SNZn3xI8E9VNap64wm1tQ\n+/tnQ0ZN/TIOh69l5hOfgM5gTu9v3VmAvXxnY9M1RHQdgKuOPpahFrBDuE5qecSnJGO29yql1qjA\n5tAyXtT4PPL0EXQoultmOYeSS/WdVPthy49NDe+HLTauAuAXmuP53LnXuKItDahdvyTCpvEl1eV9\nPW3inDPCqAKA8jf+ZHl92WL81C9BCGVAPAkJSfnIyZ9uHj604Y8Arom1nowYfyaiv1ih6E2Vzy6+\nxQpGFhMpkwG+hFk6AGDLXc9Y45754mntImTDElpWRs8F40jCvNkiYd5sZ+vHK62Gv/5Taf73+0ha\nuKDniieBmpiArAe+7Pr/7L13dBzHlfb93KqejBmEATDIgQgEA8CcKSpQpHKwZMuWLMuyrbUth3Xe\n9bfvOny2d1+HddDaXnllK1jRypkiRYqkmDMJBhAkARA5p8FgcnfV+weDSBGRmAGGZP94eM6gp7rq\nTuq6fevWc7v/8cYy7+79h4noYSnlO1EddBy5LMNwMYW+K1BHZ0CIyADgxdN/nt0/P82yJGI5JymG\nbFznuJdNNs2jxlCl1BBmCca0MfUvpUB595oggEcAbGUG43O2jPxkR/501K16yiM19RvcbF3JLXGl\nKTOvjswLiTKt21dBC/p46ewHiY3zcuWkohuNRHQTES0CACK6joj+Ptx5UkopNfFsuNe7ggklPzGp\n4Jb5S75vumblL7Fw2b8h2NzDO9Ydiv4LuEiEqgFSwpARG5sY4pYu4OZpk0Pud9fBV35k+BPGCCkK\nnPd/0uR84J4sHu94iZmMv7lclgYvixeho6NzSbL0nMfZAFBimq8ZyTRI84snzzQNy22fowylCJV9\nW7C+5W9au7/2ovo62b8P/Wr3CVUG/5248n1jQspNuTc/GNe2c3VQ9Xq2Q8q3paY9kn39pw3EYzpg\nAgBw1xxG++51KJp6JwzG8c8y4IoJBZNvtXJueoyIJIAPADww0vOJ2Fc1LfhQdv7VRov1VL6S2exA\nQlKBbH5mS8zWDgq29AA4Jd4ZCxARUr/xJSMZDOh49KlxG9c2ZwbS//07FoMr9WEym964oIzRJYju\nWEUbPWKlo3MBRGQCsP7cYwxcAoiaJ8I5R6l1Ka6NuxcOctK+7rexoeUJ4Q62j7iP3lCyj4g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XstrOm56D6yC/2NVZrm7+en7RSKySYdqYU8de482FNHpkifPeMWtJ3YxtpbDyI1rWxE50QaIVR0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\nlao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Jz4959+5Zwgf7X1VW5qKwYLVhWf42Rd3VQ0SRimKb73BEPDZx0q2OhMSJDW5FzIys\n7V96ALwO0DFExHV/9c6jn7urC/6Zs3vB3wDcC+AXX3HeW5Xb1txavWvTDf7Swiuk4b+9ru0vACAD\n/idJUd4nImLmysYSeBKRIKIa1OWLq9q8lrY+dleL6wkzo2zFTwF7bKIOgPctnF/pK6iNMrVFxwHA\ngPq2iiYuUzXx+siT46f+/otjHGPOTGoY54c52/HvP62BI1STKWPCLdUmahSNbgfw3kFyjld18enl\nL0x0xA0JaZDhs4c2eKTF9zJzSSNi3gfC4y9f8ouvpqz2ROPnN3dVG17ryZbur5+uoV+x6kO4PXzl\n8TMatRwf9uwrtZiCQg7Lz2v02bOCSVWfrcvu3NVUmJa/1/mprVk+xyISGD/2hgPeY1XVcdTE25Sk\nxCnYvO1jbNo2t0uUa6ej1kfFEyhroWXT6KoDAO3vN9dr0KOiEX/tjfUPY0zTd6Vl+afsyvpmxbLF\nT9WUlmyDx1OCdWveqF6z8hU/s7yAmYvbOg8RDRVC2xSfMP6YiZNvC3IGHejIb1kBVFXusVlW4D6A\nI+uv14f+M3OelOadzPJ+rs3rNh3AjQBeB/ABgI8ByLq2WwCq1SSkvBjAZc2IFgTggMWTTaPFTWrV\nptVctnRBgXvnlgcg5bFsBO4rX73YDQBsmQzAX3ffQtHEP699Y7J+3qNjKCTmwK/yuHOS8ZsHMkFE\nvqKs6k9MvxxoGfzJ/jIR0STNrvx4weNjg9ImNrw02LqgCEU7qkstg+c0JiMzV4DxoKfCsD969Hco\nz/cAtf7T3ZETr59GOCx/qA5XbDq5tSM0KDA6SoHlqWm5YR/EMXAQ7APSHaSq93bDdOWWZehtTxrd\ndWzbOJc9NcVi4vhbhGgikefgQWdgVOYVKCpeh8XLn7YCZruqijSJEAJCqLKjkYGKolu+nOzOEaqT\ncQ4ajLirroNwOD4iIa5k5nWW5Z/m81VcunH9e2XLFj+F8rKsx5itJCmtL9o6PhENEYq2KGPwadGD\nhpypN/ZeqqoNwSGJPkWxvQDgJQBD0cTvEBGFEZEK4OANh5uIJgEAqeptpOpfAbgCwH+bGGcSgKqD\nrw++o1E3rAPwFe41WXI2mN8EkAUhkmyRMUFsmfAV7lUB7KxrOjkoQtcSM8MaHccerOLbf2z1eioC\n5/mqjfMBHAUgV9VFoSNE+84erC1VNFp04ZNjXcOOi2voZwYsfP7wJm/AY17bgl/bs/X/KcmuQVWx\nXwHQX++vh+hXrPoQpsVYsfbIdF5PTtAI3prDNlw4+tzzQwHMJqKkFht3AGb2ESAtq3ccVxXkrURB\n/krKHHEJORzN55yMihqKKZP+RJb00y9LHuPyyt2dKoumBnGVp2MBVHYtGP78vE6SqPMJGjoc0Wef\nZwfzmySECcAQdttzks1rAURJaT3cxHFTswihXimEunbQ4DMjE5MmN/u7MmbctUFE4jIAw5h528Gl\nYYhIIyIGUC6E9gkz1wC4Miw8fZ/jVwtYKQBII/CKNPynM/M7de0a44AMsVpoOKddd2dtTcAWiJ55\nqmaLSZgCIA9ACaTcULF2qbdmdxaYOX+/Wn8+X5XRZJThgjk7DJaYx8xf112alzwqzLjz2+McZz0w\n8vizHhg56Z6fTtSGHnNgMOOSd3fDDMgV0mq6yDURhQK4AcC39mDVt+zDnBq/23ibmXuiuHs/6Fes\n+hSKwHePPdexyKW+yoBkFTJw+CqVWngEQmcco0GIbUTUtfV6SJi9oTRYdXUBtm36D1JSZiI6qnWJ\nOe32EEydfLcIDx/Iq9f9C9k5P3aaPA5HRH3KhXYTZItSzOLiXv0dDRo1Bkm//yPS/u9RJf2RJxFx\n0qnJYP4EQEV7xiOiTCLx4vijfmdPSJzY4vGaqtoREppiAhjdxIhfAsDY8TeAWZ4ohPIagLcqyndF\n+zxl1QCdz8xZbRAxrk5QGXf6Bci45X6yx7YuCEZoOlIuus6WdP61CMkc7wcQxYwt7p1bACkPiAAR\nqmDZRGzRirm5lr/GvKtWDEpTdGFc/uJEzRVlw8hTEzDqtATY90sIX7bHg68e3yx/eHGHz1MeaCQn\n1wHUH9kuGHpMrJ61eJ9mGfzbOt+1Lt2o9dM4/YpVHyJgIHf7TuOIfM9GDLFBGuZhfe+Rp5ymRc86\n306atpyIphBRx1JmN4EgpdTva9dvaKdhmj6sWf6iDAsdYGWkn9ymvkIIjB51pRiUcQZ25XyHVete\nlVK2Kvq/WVxBseT1V3RI4wx2xsGsquw956yNQESwxcVD6DpICIRMnlb/1FXtGU9V7f9MzzjZ7nLF\ntdwYALNEVWWOBmBrE/IpAJC140s3s2Vjltf82te6hFnObaOIq+o6i/Axk9vYFVAcQdAjo+EvzgeE\nEioDvk/ZMg1pGolEFFHXbI1lyPysxQemsvj3XWusXctLYQakAiAXADS7csdRF6QEnKGNR+ZWl/gw\n54JFviXvZPsNr3UbM+9oSjYiOhaADmAmgOVrP88Tpr9B4fsPurCCQz9Nc1j/UB2GfDd4oNambMeH\nC6OG62DJYKvnLS1dScjESSL2sqtCACwG4CGizqvv0gAvrqpsuX5eV7Jq6fOWIjSMGX11ux3pk5Om\nYsL4m1FVnYdFSx+THm/7Hc+BupQLlrdDa2J4cApkoPcFBzQHCQHSbQaANnvdE1GoZRnTWmOpqscw\nPLCsgAKg0TBPZnkCQK9UV+VdD+BoAMHMTHV/bfb9qifutEMyG7RO3spyZL/2lD9Qtu9eSOsxSPl9\nzc5tPntsoht16RaYmf015iOLXt91gF9TdbHf8+b1yyzNrhTXH3mSwEUTzktpMt1DzqpymH7pZ4YD\nTSifDRBmA8hi5p+Y+Yf9nglj5vOYuWe/6Eco/YpV36J0+04juMbTq08auoTIiNrfKqO0ze4ffY6g\nocP2f7iAiI7qzPEtK7C4ujKv41WH28nmdR+wz1smJo6/tUln9dYSEpyI6VP/LOy2EF6y4mkuLF7X\n7rHCQ9PBbHUo5UJIUDLADNPTuc71XUmgqBCQlg/ADy02PpRUmy3Y19q8aF5PKTase8crFP2Dg32r\n6mFmZpa/ZeYPmXkRM3fMCVuIx/TIGH/42Cnt6u4vKYJQtY3SMJ6ucyBfbnlrioyKshAAv9bHYXyw\nZ105SnJ+dfUadlxsMIBclvwmACiq+GvAY0VGpTadRis63QXUVwcgvNiscIzfMPMgACCin+uuZrSU\n1b2frqVfsepbpOk6OMh55L1tRARNIw4UFfa0KN1CzIWX1v/oREBRru7k4be4q/Oazg7ZheTlLkFx\n0ToaPfJKsts7p15hQ0qGhMm0aeu/sXnbf9t1FGe310Z0VXvb/xlThQoiwb7snS037kJ23j0bO++e\nDX/e3hbbVq9ZZQH4sJ215FrMWOz1lGLzxo/MBd/dg2VL/uGtcRc+Z5m+69sxV/tg1mxRce0+K/YV\n5UlpGA2O4MxsyYD/r5a3hoTNfk19ki5m9hLRR1u+//XzEzPQBXuwWuGvMe8DAGnxfVMuHWApWtNr\neHS6C0KlWk2VMaL5W6uzghHdA2AagLOZuWc/fP30K1Z9jCWqQv7eFCrfnTgdJAPFbU6t0ycJHjee\n0h99EmpYOMOybiSizqyavMXjKbV14nitorJiD3ZsnYe0ASciIqKx+rsdY/DgM5GZeRkKi9dg8Yp/\nyNryOG1DCE2Wu3M7JIcqbNLbg4qVb8+vJ3p7n3sa0jCabS9sNoWZB7Rzur1GwK27qwsOuCilify8\nFVi6+CnPsiVP+/cVb3wJwD3MVrhp+u9i5m4JSyWiC0nVbow+5tRWZ1o/GNUZJEhVYw66PJ9UrUT6\nfSMAjK+/yMwVxVnVDfdWWeiDlNgFAIomTgaAmddnNHtULBTCsONiGxZ5Ijq6ufZEdAyARwA8zcyf\ntfK2+ulC+hWrvsWoxHjVbGVx9MOOsBABs+zIyXlHQiD1nvspePxEv3A4Xu/EofdKy1AMo/uOqwIB\nD9atfJkjwgfJtAHHdtk8MVHDMWXSH8k0fbxo6aNcWdk2JUnXXFzdgZQLxeVbYVhexb+753JZqcEH\n6uDVq1c0uxNzDBoCWNaJ1I6FhZkrmPnqlctf8C768aGaRT8+5Fn4w/2BhT88YGXt+Oonr6fkWmbp\nsizjVmb+OzN3W2iv4gh6DcCHUVOPd9qiDqnJ3GqC0odCBgInE1HD7yUzF7NpTAeJPwJoKBtj+uXD\nm74rLM9eUbtO5a4rDwRqzDVENFOaPP+4mwfBFdXynmbkKQk2EjCHzIxhEvhesysvE1FT560TAXzP\nzHe0+yb76VT6Fas+AhGJEJd48vEHolw9LUtPEROlKGZlz0az9QRRZ8+yCbvjTDU4+MrOGI+ZWVH0\nxfuKNrTcuBOQUmLV0n9KTXXKUSOv6PI1x24PxbQpdythoem8ct3L2J27sNV9nY5Ixe0taZeT1Z7i\nFVi76yPojlC2PDUdD1NsBUZ5GXbePRtFH77bENWhhoUj6da6knJEu0s+mUveXU1nJ7AlNkTkH9ce\nGaQ0P2S2Qk3TO9w0vUOkNGMADjIN78w6P6lueS0Okcvv/YBUdfe+hV+jdMkPKF+zBDnvzqnZ8ugf\nzR3PPVRdtvJnNt1VaOkEVAsJgy0qhkHiCVKUJxW74yYAYOZtLK0nmbnBNMrM5YomllcWeuEu8WPd\nF3lSWvyaI1R7YPTpCZh5Q0arZCdBAIFO/dNwuuLFo1TTL29QNMohokPWf2Z+gplPOKB/LZFENLFV\nE/bTqfQrVn0EQTgnMV6NPfOkdlu0+zwxUQrgqT68wwIbQeg2xF52pS4DgReJKL4zxjRN7wO7s/7n\nPbhOXFewad07HPBX08QJtyhCdM+SI4TAmNFXiYyBp2Hn7m+x8Je/YunKZ1v8gXcFxcFnVLZZsdqZ\nvxBb9nyF5OGnIGHQ0WS53V1uVi768F3kPvY3AIBz2IgDjpdsiUlIvecBgCgVRCsK3nrNGyguanQc\nIkLY0cf4SdM+V4KC5qnBIY8S0fhGGzcBMxvMnMvMe+vq9XWLZYpIfF6br0mcdYhMUn4nDSMNRCeV\nLP5h4b4fv/rck5N1M6QVZVZVnLFv4fwfdjz7F2x95E5seXg2qrasa9KyF3vi2XawnA0p72ApL2pB\nrHBFFfjp9Z2GUOg9Zi4MeMwpR1+fAUVt/vNfsLUK8/66wXzvtpWWEITIFCcGTYvG/ctPhmVwHIBD\nooTr6iBepqmOtzXVsV1THXmC1ApBaj6A5YrQthFR6xLF9dMpdCwkp59uIzRU3PXgHyNcR+oxIADE\nxiiwlh1SmeKIwJ6UDNeoMVS9cvmPRDSBmTuUdoOZf1Y1x4rsrG+nDhx8apetA7nZC1G6bwuNG3sD\ndL37ja0pydMRGpKCVWtegunxqcyM5r5DISHJ2JO3uE3pEnbk/SCzCxeJ9HHnIS59Mtzle8HrA12e\ncsG9djUAQI2IqAoePfYQHzw1NAypf36Q9j7zxFCrpmZH/r/mZCTdfqdTdQUfMlbkab+xhUydAW/W\njjONfUVnVi1dcjsJMYulnN/V99Fa6oos7+97JADUVuwGf6pqji8t03cVM5cIoZ4FwgsMvAXm+y1v\nzcGZy38CcILQ9AfZsu4Ey6fyP//gbmdKuk0NOvT1caakQ3E4LcvrUdgInNGcnFZAhsy9d50hBFUa\nPuv/6lKmONhq+kS2KKsan/5lvS9vQ6XCYCt5dDgueGysnYhg+Cx8+uB6H2pL+6xupPtJitBeT42d\nrESGZAhVsUFVbLBpwWC2sH7X3MEllTuuBvDH5uTup/Pot1j1EQTBPBKjAffnrJODEaiuUby7jsyg\nl6DMkXYAgwF81BnjWabvvLw9SyqKC9ufoqA5yst2YdeOrzFw4GkICx3QJXO0htDQFEyfeg8AwOdv\n/ig5PDQNDEmtTTi6I+8HZBcuEgMnXIi49Nrkk87Q2qzevoKOlcdpibCja33VzMpKBzeRIkJ1BSPx\n5tuDFWfQEKu62pnztwfh3dl4vkktLBzBY8bBlpQC6fc5wPw1EXV7kENj1Pl/ldZlE08BgLooRmvw\n0LMwasxViI4efoKi6PM0zbmI2fqU5f+zd97hdVRHG3/nbLn9qlvFRXLvDTdsqjGY3gmEFggtoaTx\nQSghCS2E0EmAEErohN5swIArBuOCe7dsy5JlVavdfrec+f5QwUW2JatYsvV7Hj2S7t09Z/aW3dk5\nM+/Y3SHtu0lR/rivcaVp3MfS9jHzvWwajqJp7xgAECnYih2fvLlL5SzBjkYUAD8/0E1NPGKNtA2Z\nYcbsHACFIDzqTdFZ9+z7/mXeC5ujhauqxTG/7K3c+M6xzuteneg0Ihbm/icXT54511g/u3QbAP+u\ny4672PZsWuJArW/WiSLR2wNeVxqcuh9EBCFUJHh7gpmHE5GXiHxNVWMnIgcRHa8I9RshlGeI6OK2\nEi0+3Diyr9SdCCKyTPPIrAas56ypHrhdJOMlTS+Hj27ehNJ338aO559B0SsvovKbr2CHO2dvUle/\nhkq60xvLtWguzFwubWPqhrUfRCLh1tUHM+IhrFr6MqemDpXZPY9t1bEPBl33QZAqq6q2HmA7DwBC\ndbhxmYKoEUBxxWqszf8M81Y9YeeVzEffsT9Hes5PqSxCCLgSMmTRv/8l7WjbFAiwlKhZuOCn/819\nF9lpySnIuPraBgep6MV/o7FlQSsYwNZ7/ojSt14DAAiPh4XH0ypOfHMhovF1PfBARD0BlAOobyZ5\nZt3jHgBKNFLBKakDkdNnisO2jYkgmjR46MVQVRcDAEu5qYnTjosUbJFmoBrVKxZGA2uXuWJltc4x\nCQFHWmYAgJuI9t/UEgAzV9b1LhQk6OhQhUFPnjmX379zuVFRsHdLwy2LdkqXT+OpvxsksgYnILQz\njleuXRSb/e/c9dGAea8Vl0P37dBxWknlGny/5tlwY83JuyUORIK3+yRBaiWRUixI3UBEpxKR1shg\nIKIcVdGfFqRWuB0pnyZ4ekxmljcrQn8TwJUHOvYuADpSS/c7G6nJSt6X/+ueM2bkno3ejyzShmy1\n5ejJSsqpZ+xzm+i2PNTM+YZjW3JZWrbIzBR29x6KEgkz5+XZHImw0LwuW83sqVjV1VATE8G2BJtx\nwIxLmAazZYEtC2zbYCkJksFgIiJWExLYNWqxHBzoAAAgAElEQVSckjT5ZAi1/VfT8/56tyFjsXOZ\nuVWWaYRQHs7qefQt/Qed0yoJfFJKLPz277YQKo4e/3/tlld1IL5f8LCdkjxQGTzgvP1uN/f7++xU\nf3/FofkQjpYhEq+0DStMtqxtJ0WksKq7bX9aHzV7+JlwepL3GkPaFpbOeEhKlbnXHX9WWvNzwlKi\n7N23QqGVy70AkHndjXD3O7B8RcVXX3D1nJkEAKSq3Pv+h4l2eW/YtlH69uu2q29/4Rs3nso/+sCK\nrF/7ih2N3HAwdgqH42227LWQ9uONR1r2TV0TZgC4ArUNho/P6T0F2/JmAcDvmfnpOgenMqf3SUbv\nvqfoAGDbtdISiqJh3uy/QEoTAMS+xEiJyLerwyJU9Sl3dr8bSVFlKHet0z/0qGj3865wAUDpzM+M\nykVz9fr5m3k8GoDRQqWrhUJX5RyVbJ//wAjfys+LjKUfbY9WFUa8QiHrhrcmOb58ZJ2Vt6RSdXjV\np+Mh6w/7sn2XsbsDKARQk+jt6eydebwj1d9vryVvy44jFC1DefUm5JXMr3/4dwBCAH4nhPaDIGUM\nsz2se+oYpVf6eM3tqP1sM0tUh7ZjWe6bO21p9mLmQ6KD11nocqw6CR63CG1elONJTzuy0+J6j82z\nq7LGKN0uuqThMWnbiGxcj+CiHxDN3chsS8rprdiXXuZSrrnGDYdj9wv7tm0m/vtyFEt/NOTq1ZbI\n6a1YyclC+Lwk3B6CxyPg9QI+n4DPR0hIEHB7CKoKBGsYs2bHMXeOIU2byH/8SZR0ymloT+eh+rtv\nZeXXX27geHxsa5zgiGiIqrqWTDrxHrcQLU8NWvnjS7KmOh/HTLxDaJq7xeO1FsuWvwjJNo8b9Ssy\njDCqarYiEChEKFKKSLTCNo0QbFmXG0WCVc1lO9yJ5PKnK57E7vCn9IYnMQtCadp30DKi+PGLB6Xa\nLZV7/vb/Wi3nyo6Ese3+PwMAEk+cwimnndnkxMvtTz8WNYqLPgdwUc//uxN62p7yTLWVhgWPPATS\ntTyOx0ccrPK5cDrLtKTkRKu6+hs7GjmzOfsqivaxlNZ5bndq1LLiekrqINI0tyjInwcA/2Tm39VF\nrEITJt4Ktydtt/1j0Sr88P0jADCDmU+vW8IioTsel6axCszPMzMLVSsmVd0m47HTmLmGiJIhlE9U\nr3+iFahSd3WsItu3Iv/1Z4DaFjsHHfYmomQSeCitt/eqsq0hB4AQARoznACgOsQMKy6vYua9RPuI\nKFlVHI8COJ0ZNhFV2tK4E4wLGPINIjFFkPqL1IT+aSP7/myvGyXLjmH28ocBAN2SBtu66rFNK2qU\nVq31pvj7Gb26jdeTfDlQ96Gkvyz3rXBFzea/SJZPHOzxHwkc2VfpTgIROVUFzrSUTtWCrE1I8Asq\nLshHxYzPYRQXwyousI1ASBEE7pejyR0OFhdd7MIDDybs88XKydFw/wMa8NNSeLO+Bz+/zA0ppXjs\n0TD+8/xMDn43lxOnniESjzvx4A+sGSQcc5yI5W/rF9208V0A57R0PGZep+nu75Yvef7YkWOuc6vq\nwafV5G3+BlWVW8TYMTehIzlVAAAiBGoKaNa39wBgEAlWNJd0uBOFNy1b8SRmwZ/aB56kHhBCIbTw\n/KjqLow6+Q9i2VePcMmbr3LGFVe3SuXJrjmGMh5v1phaWjfdKC7eBEGWlpTc6PHVVxpyPD6uRQ6E\noqxNOOb4E8s/+eDkOg2mbgB6Alh4oCiMlNbvAZzXs9dxroysMVi5/L8oLloCAA8DuL9us5EA4HT9\ntDJnmlEs/uFJJKcMMAHxNLN9OxF5SdNXs2nkOLN6xa1QwDZ2lj5GRInC6a4kRRkP0/gYwEnMXElE\n91qBqlkA4M7u15BT5MzoAVIUk+39ZKHv+RoQDSFN/61QtVHMMkvGoj0BgCU8ldsjR4MxUqiUl5Tl\nGlFREIHmFM8aUfuWfYyVqgh9UXrS0B69uo3XiypWIr/0hx4AvgDQk5kLAXxLRC+XV29sdPmzIlC7\nFD5l9N1QFF1BbescHfgZan/vn35Zkz2VwW13E9Ez7SXy2hnpGDH6Lg5EosNBphBHbkVgPSOGOoRV\nVgJaPtfqg832lWcKZf6nPWAU9qP13+cofXM0FBe3fS9FIQT+eIcPG3O70eWXaqL6y884/967ZODH\nxW0+NxGh28WX6iztU+oTeVuKZUZPDwdLvtm25ZuD1hyq3JmL/K2zMHDAufD7ureGWa1KcvIAAMDQ\nE2/C0Rc8jIkXPkLjz7lPGXnyH2jAhMvRfeBk+FKy0RpRu3qc3lQMPf4GCq9ZTRUzvmjxeDULF6D0\nzVcb/tfTM5pnT49eCmnaEKHpJu1/efIBZm6RGq+Mx+fHtucbekZmHMD5ECIXtc3FD/glYeZ8AE9u\n3PAx5s2+B9W1uXFHMfNdda1jMgB8DwBrV7/T4OjEopUwjCBKipdqgJxFRCR0xxu+/kMyASDzjIsd\nOb+4xQ3ADaCPNOIOOxwUkHLyLgKpi0G0jFTVTBh2VINNpGogRbUBpDTl+ElRzgWw1pXZ41eZZ186\nIfuKm3r2uaEuj57oNcuQYwFcA+ZARUEEQqG39uNU6ari+KZH2pieQ7LP1n3uDAzoMXXXTX7SMVMc\nf0lPGtLoSTA9aQhOGfMXNLW34574PVnwudKdAF1+UAMcIXQ5Vp2DUtuGXVx6SHT2OhSv/ysDVlF/\n7FzfR105J1t54fF0TBrnasgnyExXqbjIbjetK1UVePBvCVi7vhuddRrRzg/eQcGD99gVX0yDFWqR\nIsJ+EZoG36ijJKnqn1vDuWJmKaX5q6LtiyLlpWsOvEMjhIK1ib7VNfkdMr+gW1ptv1xfcjZa2vy5\nOSSk9UPfsT9D9dyZaKnjrfp2lwJwZGU1up00DXAjXwPhdIJta5KanLxXtIGZEcvPA4RiAni8RYYC\ngG0/E1q21HQPGOQjXb8bUjpJ0xYCuOSA+wIAaNf1PTczLyciPxFdBaAYALJzJmPg4PPre/Whqmpr\n3UmSVgGYCeAYoTtOyTzr547Bf3oCelIKFJcHjm6ZNQBOVByOhjuAXaJoURIKUiZOUYT2kwMSr01k\nDzPzAeX8SYjJAH1EqoZIwVYUT/uf3Pn9LBhVO+snO5eZLWZ+RajiJaHSB9LmfSaGK8LxYqK316AB\nPU7R6s91RIQh2Q0B64aLAzOf2zvz2H1W7+0iIH9QJPmynYKUqw9Gqf9IoWspsBPAzJySpKz5cWVs\nwtlTj1jh9SaRlaFibW6s3S/sbrfAP/+VSPffL3HPPQFl9qy5dv68OYpQBQtVYVJVFpoGaDrI4RJa\nZnfyDBwC16BBB50AnzT1dHdg8cLrAFxHRCcw87ctOQZmLiWiyRvWvD/Ptk1vRtboZu3fq/cJKCla\nKisqNjJqlxg6FG5XbSJuNFgGT0LzIj0tJT1nPMrylqBq1le2f+z4g35tPEOHwzN8pB1evVIhh2NR\nYPHCo5y9cnar7gqvXytLXntZAICaklKj+hLUrOtv9JCigHQdIFLtcFhjywKpKlhKRDfnovzj98J2\nJGICuJmZa1p4yGDmMlLVByMb1t3HhjECwOVsmv870DLgLiP8AsCfAVT8lEtIGwFuePPyt81B/rY5\n0DQPxk/8A7bkfqECqGGWIwGAiGKk6Va9g8TMqFm5mI3KnSqA/nY04tSSUsNmdYVe5yiopGprHN0y\ne6YcfeJuHkjeS48DTYxWgXk22AbXCfDa0bAIrl+B4PoV9Vs0vGdmzH4NwGv7GkoR2nW66r5oRJ+L\nnHs6RX53BhTh2G7ZsfL6xyRbHoe2txZXa9En83ilrHrj2JhRcw+AB9psok5Ml2PVSQhF+JM33w8O\nP3uqt4MlrnQsUhIFou3vVzWQmCTwzLOJAKCUlFhYvNikoiKbqqsYNdUmagIGqqsCyN28wy5fulBI\nBnn69rESz7pQdWQ0T1Rd9fnQ52+PILDoB+yc9skcItL4QP05DgAzLxNCmZC7/uPvYtFKf3afyUpT\n73Dzcr/mSLhcjB/725aY0KYIocpgRZ5ob8cKAEgIW4ajJA0DQj+4pRgASL/sF0rRi88Z8YJ8GVq9\nstTRo1dWwtGTGt4ko6hIom41wqqomGzX1HxYPW92b7Oywgj+uFgn3ZHLRjxY8PjDE1W/n+JFO1QS\nSok04r8B87Q9HR8imkyafh6bRimIHKTrZ3I8fkFTIjew7flGcZFOmvaMNIy3m3OcdXZs28OWXzPz\nJ3tua5phbN38Vf2/Cbs8lW9WV7g3P/NAQEtMgRUKCCtYs4Mt80IAfUjTR5hVO58HsJqZmYh6sGUO\nyL78Rgi9NtdQWiaqly+sH29sk4wnCvsGjXRlnXOZKHz/ZYS3bmzGke92vMcoQv/nUQOudKnK3rmP\ngUgJiGjRLts7AdJbGpXaH6riwNgBv3D/sO75uwQpGyTb77fZZJ2ULseqk2AY/Nz0meE/LVgSxaRx\nXRpt+yI5ScCIo0OEqDMyVJxzzj6/YgoAfPhhBE8+nq8UPPkonBlpdvL5lyiunD5NnoNUFc7efQAi\nE61U4iulvY6IRmzPn//xjoIFQ33+7vD6u7s83nR4vBlwe1L3WkqrrsxDft5sGjDgXHi9B9/wtq1R\nVTeHq3YckrmHHHOtsuSLB2ThPx+ze9x6514yFCwlQLRfZXigdgko47Kr9IIn/jFaRiPPV3z+6fXC\n5fL4RtZGGBMnT1EDSxcbVmWFDmAFS/lg9fff/k7GYm8B+ETGY5uISJWx2HFWVaUTwHLJxl7icEQ0\niFTtfsXnO9N/9DFuGYvF2IjbMhZzhTes+4KIRjTBkdcAgE3zzroxewCoPtikeCntT4noegAv7vlc\nXXI7UNuUGECtVhsRpZk1VTlmTVUOABO1lYISwFoA0/YYxi0czihpesNJ1qgoR9mszyIQ4mJIaZOi\n3AsppzHz0n0ayuwJrl+Bncmp+3Cq6KKmHK8i9Ot6pU9wel1pjT5fHSqIW3Zs1/DU5X53ZlwRepve\ngDt1P8b0v8K1eOMrrxKJMLNseQLhYUSX3EInQlHoNJeTPvpuWk/XiCEdQhC5w/HSWzX43T1lctPm\njE6VP7hypYG77wzI1astoScn2klnX6B4hww74H5SSgTmz0PFF9MAYAIzt1r2fF3LkAEAhglFP0pR\n9AksrcG2baQ5HAlRjy+TEhJ7eVK7DaUff3iak5L6Y+TwKzuEU7svFi5+wnYlZSkDJ/7ikMwfj1Rj\n6RcPQvH6OOee+wgAjPIyFD3/jGGHQ7qr34BI1nW/btJF0ayoQMGjfwOIZoD5ND0zK+jq089lVlbE\nI+vXeoTD+Z4di+6Vz1QnuNmbNP1oljIJtjUXwFYAFaittMuCECeSql2RMPEYkTT5ZF04f9LPs6NR\nbLv/HhvMSQdSIa9bXvMxc4CE+DmY/wdgKTM3LfKz73GPB7Bnd+23AbzKzHu2r2nOuOO0pNSv+t10\nd0OpoVFVga0vPlopjXiK0B2Fnux+3cP5m6NCVf9lRyMPNbZsqjhcf5Bm/HIwN9Zz8TkAt+xHWysB\ngJeZdxDRyZrq/mTyqD/uJZ1gWlHMWfEPqIrzn6YV/V3dvpelJQx4YXT/y9qlqWxlIA8rt7wXNe3Y\nz5nlZ+0xZ2egK2LVibBtnqGpdPuNfyx7+LtpPY7ovoH7Ii1FgWV1jIhVcxg5UsfnX6aKggILd9xe\nQwte/y8qPW47Ycppin/iMXtFMYyKclRO/wyRjetYqdVSJADZaELFVVOpu6vfUPfzQf3jROSMxaoG\nx2JVw6sqck/amjvjKiJBvXoci1isGg6Hv8UJsm2FYUQ4ydu0NJm2wOFOxKBjrsWG71+mkjdfhZ6R\nicCShTE7En4dQpyueDxNajcCAFpKCjKv+RWK//uf0wDAKC7yGbVtdMIApst47NI68cijACQDGCCc\nzuNJ08epyckxR1Z3p4zFYFVX3WjV1KhsxB3C7Y47MrvbalKyM/G4E3UtZe/XKrxuDYTDscKORg9Y\nnVG3vJZDRHmkaaezaQLAbbtuU6cxNQXArKbqsjHzt7XLXngLwFPM/F1T9msCCYrDuduXLV5eAqGq\nuUSkAsjqcfE1MKsrXeXzZvwhuHH1r4noKGberc+WHY8+CeDJ5k6uuNwXQCjvQNoaEV0JYLUgxWxs\n29wdswAA9U5VHUZ5zaZ2caoAINnfG8P7XOhaueW9/xDRXsvIRypdjlUnw7Lxwpr18Tu+mhPxnnZS\nu31/Og3dUhVI2fkcq3p69VLxv3dTRGWljT//KSg+n/YRV37xKXSfx2aHW5DTI+yqcmlWB0RGprDu\nuNer/uIqF277v4Dx0YexdvEY6lS0l9f9vE5EXwqh37F67RsuKe0MIqGndxvO6emjPYkJOQdc2mpP\nbDuuuBOal8vW2iRnDsaACZdj06K3EF6zCqRpTlK1NLbMy0Mrl8/V0zOMxMknO+pfN5YSoVXLYQeD\nSDj2hN1eT/eAgUi//KqGNjR1JAA4SzhdG6QR7+vsmR1WfD42K3a63QMGiaSTTxVC03YNee/69wGv\nCWpCAtC8lkorAfybTfNqANcxc4OjQEQucjiWkRB9pWFYisezDkAlJFewbe1ky/qApdwzMgUAYOY4\ngCYtqTUVUrUXHOlZu7W3CG/dYEgjPhMAIITNpqnqSanoft4VWslXH6nVKxb9Gq3Q4Fhxuq4H0TN6\nchqbVeXfsm0vU4T2cnrS0L2WJ0wrisLyHwFgCxH1qs93Iwh/kj+nBrvnmbUpKf4+kGylAvABCLTX\nvB2ZLseqk8HMphB09yPPVj132kmNtGE/wklLUbCPfrSdiuRkBc/+O5GeNCRefCGCbdsMtaoyjqqq\nCu4xShG3/DYF/ftr6k/bCz0hgQYdCluZ+V3s0hiaiAYUFS+9uLRs9fW67k0e2P8cb3LygVuutAfM\nNnmSeh5qM5DaczSSuw9HecFybPnxXUBRzgPz2QCurpo3+w6zoqJ/2oUX6yQESl5/OR7ZtDECKZMq\nPv8M3S65DN4Ro0FKbXGhd/hIuB94GDIaRWjVSkS35EJGI3Hf2PH9fKPHEilKq54nXL37AkA2EQ1k\n5qZlZRMlsZSM2hynnx52OJ519xuQnX7F1ZodCmpGcfEYGYtCxqIwKytRs2D+DcLp2srx2PnMvKE1\nj2NvEymHFDUz9dipDY6VNA1Ur1gEtu3nmNlS3d6FlT9+Nyl10pTaqktfAgHcIiemVmtL/wep+m8y\nTr1AL5r+TpBt+28A1uZkHGv0yTyuodLBliZMK4pluW9FUJu/1hdAPmoj1tBU95WZySPazamqtV8A\ntXGqLj2gOrocq04IM6b98GPspWBIwuftmEsuh4LiUhMnnFcovV4CDhONNl0XuPmW3YIDjYZ/CvLt\nUHU1e4mIDnU4npk3AXiQiP4WjcbPW7XmzedSkvv7Bw+6yK2qh67XZTxeezPdWG+/Q4EQKtJzxiES\nKEXxpnmkJiapVnXV62ya20Orlm81Sot7pZx+ljuyYb0DtarlYQB/LP/kw3Mqv/lqWNY1N3i11Nqk\nZqHpEJqOxGOPR+KxxwO7R6FaFVIU+EaPUWoWfHcpgHv3u23t8hlIUcobeS6DNO3StJ/93ElEUH1+\nqD7/btskTz1dr547a1DV3FmfE9GoA+V0tQShO/4sjbgz76XH0O2ks5A4eiLsSAgQIsQWFwGAHQ3/\nYuf8r9f4B49060mpiO7IB9v21AON3Rh1+WdnCV3/lepPOrHb5LOcxdP/F2UpbwXwFQD0zTqhwana\nUjTP3FI0R0XtOcCtCC2QnT5R21r8LYjIxcxRy46NS/E3vfiltWCwgj2c5iOZw+Lic6TBzDVuFy35\ncvbeXdKPVL6ZF0afcdtYd7JcsDD1iPpcWxajtFQ6mHEtgPGH2p56uJaPpTT7VFTmvrNo8VPBcLj0\nkNkTDBUDJLg1ldVbg94jzkJixkC2ggHO+MUv4erdJwvMHqO05PWiF/8NUtUHAZjC6XoIwEMcjx9t\nBWo+3P7Uo0bVvNnWofCj3YOHacLtvqAJm9YLcO7dlBBgMAj2vkPMJAQSJ58MV59+maTrfz8YWw8E\nESUJTX9aGvGFACDjMZTNni4BwIpEQIrSsLzFzHks5QNF094JM0uENq0BmLP3Ma5GRIOJaBYRvUFE\nzwtVe0xxeV5VPb7PhMO5QXF7P0gYPu7knj+7xlP06ZtROxa9jCSPcTtTYyeO/Gl1sax6I/KK50cA\n5AAYQCQeSPLlqP26nwSvq1sQwLG19tmO9hS/rZ2TATChK2LVQFfEqpNSE5BvvvtJcPTF5/iOmESr\nky8qtOcviopEv5B9sjVl6EAHJoxxYtmqGF58M4CzznbKZ55NUDtSTk9bY1mMC8+vjG/aZC0FMJWZ\nO5y3XZeQfC0RzV+y9LlnBg+60J3ebUS7v0nhcAkURZPogOKlgyZdQyu+fkSWffAuZ9/5F6Vyxufp\ngaWLJwPIkKZZqrjc85w5vce7+vaHcDiwc/qnP2PLfLlq5leTiahv4vGTtQNO0oo4uveAjMcHEZHC\nzPvrdOACALasS4joTWaeXv8EM5cKp/Ol4tde+mXWdTe696XtRURImjLVFdmw7mYiepmZl7fU/rpo\nkQLAR6q6iS0ztf65wX96AqgLOkQKNjOkXLDbztJ+PF6649KtLzw2HEKxIO2hjYyfLRzOhWxZKWxb\nmupLkKrHK109+6h6UiqEwwnV64cnpz9ICJR8/bEpjfjzRMpYh+b9xfhB1zh19afi0A0FnwclW1cy\ncwERJQlSr+7ZbbwbAFyOJBGNV51CRDMBqHNXPIIeqWPsnIxJitvZ9mmXtW8/SWbZlbheR5dj1Ulh\nxtIlK+JHzAf5tEsL5fxFUfHQ3/20ebOlrF1ryRnfhuTbHweEogCPPOYXl1zi7nAXzLaEmXH7bTWx\nTZusH8NhPqUuqbzDwsyvEtHK9Rs+/KKmpiCpf78zHO1ZPRiJ7ISquTvkd0YIgREn3yqWTPsrF7/y\nosy64SadVLV/zaIF3xLROOFw9vAfPcnpGTQEAOAeOMhd+s6bv4wV5L9X+c2MXp5hIzQtuf2qHRW3\nG6SqFtt2JoDCfW3HzBvq+vqVANiy1/Px+O+MkpIBVTO/mpxyxtmNXo9YSpS++aoJIf4OKVc0tk1T\nIKI0ANtApECICkiZRZq2zdt3sDdx1NHY/s4L6H7h1Q3b29EIKn6YE5dG/I09jskkoguMyvJPIe0b\nmDl31+eFpp9Fmv5m2gmnJSSPO77hYexnhSi4YVUMgM1s/2l0/8uxq1MFACn+/npJ5epfEVGlENpH\nPdLGJKb6+wEA+nef4vmhOvdWIbTrFaFFTSviKty5VCmpWmufNPrONj8n2tJAfZJVF7V0OVadl2FS\ncrvepR4qLry2SM6eH6VPP0umESMb7mr3e6I6Enjs0ZA548t4XjjMp3d0p6qeun5vQ4tLls4wzfDw\nIYN/tlebjuYipbWXYKmUFgLBQtTUFCAUKkY4Ui7D4TLyJvfosM53werpzLZJnhGjiIiQfPpZQsZj\n2cEVy+ZII/6fii+m3evq288lNB1qQiK6/ewy5/anHrkIUn5Y+tZr53W/5Q++9ozWuvr0syMbN5wH\n4JkDbHpy3e+dez7BzDYRXV2z8Ptlzuze6Z6hP2m3sWUhuGwJyj96H6hN1P7bweYPEtFwUrXZzsye\nesKwo1SjqiLVk9MPVjiUkzB8DIhEfaSqgbI506MyFl0MYHYjdm8BsJfQHBElApiWde7lSBjWmITV\n3tjRCKxwUEOdmGpJxSr4epy82zYDe051xIzqyRWBLWcOyzmXM5KHNbzRXlc3HD/yVkVKM9GpJ4KI\nIKUF04622WfdliZ+3PiaXRMurJ/jiD4X70mXY9UJISLh84rb/3pbymGvEvrsf6vx6Zdh8f6HSdjF\nqTri+eTjKF5+KVIRifCJB6tifahg5koimryzYsOs9Rs+HDl40EXOg3EIpJT49rv7GCDSNCc01SPj\nRo20rJjCLAkgCEWTutPHTm+qkpk1ABl9JrbBEbUOiu4hAKiY/gm7BwwgPSUNqede6DArK4fGiwr7\nWtVVCwv/9eT4rGt/5VETEqElJyP9squcJW/892yjvGxnePVKn3fEqHazN+GY472xbXl/wIEdqxkg\nugvMlY09ycxFQtPuLHn7teeEpkFLSzdAgFFa4gSwHkT3gPmLpjhVROQnTb+fhHIhwItkPHYbgHyh\nOz5Lm3xmSvLYY+s/aPs9mUgjjprVPxLb1qXMvFfD6v0QBIBI/mYrYdiYJl1f7VgUkNIJ4HcAEDP2\nVixQFQdG97/MXR0sQLK/915fFoe2u/qFECocou2KxqU0EYwUdzlT+6BLeb0TQkRn98nW3t64INsr\nxOGbT8TMSOy/RZ59rlP845F2rSDu0GzcYOKcsysj0ShPZOZVh9qeg4WIPIqirxw44Lw+Gemjmv1B\nXrnqNVlRuVHUpfkQQEjvPR4J6QPhT+0N3dnx1UhioZ2oKl6PjL6TQEJBPFyFpV/+DUpCIufc9RcC\nADscRv4jf4txPPYbEGWTqt7e7eLLHN7hIwEA5Z98aASWLPxacblPzL7zz146yKbezcUK1KDgkYeq\npGm0SpllXd5Td9RGggSAdQAKmtL/sm7fMcLhfNvbb0hO8vjjtcD6lVy5cA4B6A0gr/sFV8HbdxCE\n7gAzwwoFYAUDtb9DNbAjYWiJyVCcLtixKEpmfFhsx6JZTbVdcXvekPHYzyCUVWwaYwHsFQVrDJY2\nNvz9p0T1ZH8fjB1waDoDHAhmCVuaCEXLQQDC8QokeXvhuzXPmMx2SltWbXYmuiJWnQwiIoeD/vv0\ng2nuw9mpAoD/vF6DaIzFvfd1/AtkexEISFxxRVXYMPimzuxUAQAzh4no2tzNn0/rljbc15xqvbz8\nOaio3CjGDbkWib5eZFpRLFr7ol22bYlIyhpKncGpAoC13/6H45Eqylv5KQBg0kWPwelNlbFglahv\n1qx4PMi69gZnxefTnogXFVpsmjeXvWbhssAAACAASURBVPf206o/wePMzkHSyVP14LIlp0jT2BrJ\n3TjYM3ivXOo2gXQdzNJNRKKlzb+BhqbLhdhPzlajdhAJoTtmgujolIknaSmTpqhEBGdmT6pcOAcA\n8kD0VvHn7/WVZnxsrSIJiARFSdXKiKgYQimWsWiB0B1DAU6WlpXDlnl9M4y4hoRyYd+b/qRXLJg1\nqmrp9wCA8m+/Qtrxp+5/110/90KBbRuMfciqHAosO4aiilWytHJtsDpc6Ga2G0tB0QAMRit2fujM\ndIXyOhlC4Gy/V7hPn+I+7N+7v/+z0j5pigMu12F/qE0iEJAYNqQMZaUyZln8+qG2pzVg5nm2bawq\nKVnGkWgF5s2/DxUVm/a7T0XFJuTlfYOB2Wcg0dcLAKCpLhw78rdKRsoIbPj+v8hb2TnalvUbe8lu\nF1AjGsCok28ViuqQ259+zJZ1arfOXjnofuNvfN0u+nkSadoTbJp3FL/2coQtC6rXB/fAwRK2bchY\n+6XaKU4XFK/PQG1/wUPJ0dKIT846+1JX6jEnNwQLiAgD73gE6VPPB5gvl/Hom5DSzbadDGknsWUl\n2NFIPysSPs4KBS6WlnmbFQmdbkXCE6QRT2cpP9/fpFRLIinK9wD+6Oqe7dT8iUg74bQGG6JFBU06\ngMF/egIJIydAgeDhvS/sEE4VM6OoYqX93epnQrmFs2ZWhfKvZ7bTAQhmJtQ6Uz0BXALgHABL9jfe\nkUTXFasT4XGLO6XEpx+8nOk+3CUF1m2Ko7DIVv7y184ReWhrqqslzj27Iqzr+A9zgzbQYYGU5u2b\nNk83Fi56HLYdh9ebvs9to9EqrFrzOqenDOdeGRP2en5Y3/NpaJ8LUJw7HytnPmnbdnPSY9qfhG79\ndvs/HqmCUHWMPuX/hF1VLUpeeXG3SJB35GikXXixhzTtIWkaq4MrlgEAZCxqMnORVV3VfsYD8Awc\npIPolHaddG82A/jDjk/fKl3/t1ux4eHbZWDdCgYAoapIHnccsq+8BajNBbuVmUN1Py3Ng5EAqiDl\nJDAPCG5cjdx/3R+LlRZBcblNAHCmN/2rqnq8EEKTbmfSgTduYyw7juW5bwXX50/faFihCyw7dioz\nv8/MVfWvGzNbzFzIzO8xc1efwF3ocqw6CUR0XyTKf1/4ZU8cO8F1qM1pc26+o0z26iXs7Oyu1Wrb\nZlzzy6pIcYl80zBwY12PtMMGZv5BSvNaIpGnKE65cPFTnF/w7V7b2baJJUufkW5Hij28777v6rPS\nRuKYEbcgHqykH6fdJ8PVRW1qf0tJzvqpuMyXUqs1qbsSMOzEmyiau0nsnP7pbtv7Ro1REo+f7CBm\n587pn0RqfvgO0dxNfth2TWx7frvqmKmJSQ4w/4Oa2DuQiNIUl+sjUtV7iWh4a9jAzGXM/BSbxnEA\nACnFjo9fJyvyU01HcOPq+j8fbul8JMTZRDSp/n89OY0H3PoA/MPGRK1AtbPgrX/Dkd5dZp17OZLH\nHdvkcdWEJNjSaJM75rgZRGnVOmwrWYC84u/sgrJF2FmzGZFYBfb0hyTbWLX1g3hlcNuXtjSPYuZv\n2sKmw5muq1YngIgmAPgLAIwbdehagrQXCxZHMH9hTLz34aG/c+sI/Pu5sLl+nbUuEuabD+O7whnM\n8k3brl3KKi1dYWX3On6389PSZc9LZskTht1wQBFYtysVxx91m1i64TW5cuaT6D36fGT2nbTffQ4V\noerGU4rMWBAAo+a7edC6dUPC+J8qGpNOOsURXL60r1VV9XnF1zPcIPoEzJvN8vJTAbSbaLB//ERU\nfv0lIMSxAGbsb1siSiNdX+YdPSYdoDNDK5berjhdH8t47BetlKOVWzsNZQuH69XqFYtOTJ00BQAg\n9NYpoCaiQQA+AwBX9+x45lk/dzhS0wkAup97uSuwZikAQHV7rYRhY5o1qZ6YAintg3KspLQQMwKI\nxqsQiVciZgRsIqEEI8XR6nAh27YBRdGX27axXLIVF0JLUkgdLtnqK4TmTPT0VBVFl6YVMatCBbog\nZZVk66rD7SauvehyrDo4RNQXwEIAePWf+14iOVxgZlxwbbGcMFHDhAmOIz6iunKFiX8+HYrFYrjw\nAArXnRpmriCiZACVADB2zM0N56ZQqASr1rxhx+M1YtKI3whFaZrshiJUjB9yrdi8fTbyln+EeGgn\n54w8p8OtoQ+ccCVWz/lXw//MjO1rZ1iFG2apqu6W3XLGi6KPPoCWmgZ3n9qlQ1IUdL/hJm/JW6+d\nYZaXzZFSvkREx5KitOvxKV4vhNMpZTx+IfbjWBFRBumOz/wTJnZLPfMcDQBSTjtTL3z2qfNkWewS\nAP9rLZuYOZ+EuHPn/K9nav5Ej3/wSIru2NbihHAimkiq+o1/8Mhg6rFTfXpy2l6OU/aVN0NxeeBI\ny2i2c6undENda5hGYWZYdgzhWDl21myJbS9foppWRFUVR9SyDV0RWo0itEIAGwwrvEEIzS+luQS1\nCeVbbNPc66aMiMiW5uDymo1DUeuQxwB8a7PRscO8HZwux6rjsxkAStf0QWpKh9U2bBGhkI1V6+NY\ntCyO6V+HUVklac5LqR3uAtjehMMS115TFYrHcS0zNy0LtnMzCAD8/l6wrCi25n1t6HqCvi1/Nrzu\ndIwb9Qdy6v4DjbEX/XqehGCkGFWlm2ROI+1sjHgYwZ1bEaosQLimBLHQTtuMBSClJUafeic5PW0b\nOXUnZDb8veCD26A5/dKMBdSU7iOsAUdfoRIJxMKVXPzS8+h5212k1ymsq4lJyLr+Jk/eX+48i4hO\nBJCoeLztfpLwHTWOaxYt2OeFmIgySVU3Jhw9yZl86hkNFWXC4UDyKad5yj54914ieqc1o7Es5SIi\nOr3483enFX36dsIuDsu1zR2LiE4CiU+Ew6lknX2p0zdw+D5v+Ny9+h60zaqvVlLGsKLQ1dp0D2aJ\nqmA+SqvWGSVVay3LjqmqcOyw7PgnDDkfQLVlx7cCKLDs5nfiqHvN19X9dNFKdDlWnYCUZCFTU5TD\nJnqTv93AoGPz2TRB9adSQYDTRXZysuBHHvWr/oTD5nAPmpnfxFFWJr0A5h9qW9qJGgAIBArw3YKH\ngDoRR4+rGyYOv7FFDoOUFiwjIratmo5ITTFioQrbiAdJWoYAGESCFcUhnZofflc3xZc4AlsKZyMS\nKEFbO1aKunsEzowFRFqvMdx//KUN5+eBR19JK2c+IQuffoxz7r5XCIcDbFmo+W6ehdrzeATAeD09\nY7deKIX/fRGKy4nMS69seMyORhFcsRTQdSSOaXnPbj0jQ6lbImsUUtTrvSNHaylnnL1Xmb5n6HBo\ns2d2N8tLfwfgqRYbswvM/F1dG5vBqK1gC+7ZfuZAENF4UpT3HWmZrl6X36gqzrbLb61f3o7GK1FR\nU4HKYF68tGo9ABTa0niNWX4GYJVhRQ7XdIDDhi7HqoOTnCTeuuf3yZcfajtak89nRgCAP/8ymTIy\nFCQnE4QQQAdsjnuoWLHcwN13B2JEmM58+HeNJyJBJK5rLNVm7OCrWjy+05GAykAelW9dbDn1BEpw\nZSq+5NFI9PVCgicLQqj1TXkbyCuaJ614qM09fNuKI73P0SjduhAAzgfwcXnBUuo//tKGbYgII076\nrfjxiwfl9qcetTOvuUEpfvk/ITsSXgLgWmbOI6JhVjBg1h9HaP06xDetBwCUZ3aHt/8AmMVFKP/g\nnYZxzeIipJ11Xovsd/UbCGZMbUzPiogU0vXfJEw8ttHkUBICSZOneMo/+eA8tLJjBdRWrgFYfcAN\nARBRAoguJqGksG09S4pym9Adt2WeebHbN3gUDpTXd1D22TYihXmIFRcinLcpCMC3ZMMrYUXRfjCt\n6JcApjPz/vVHuuhwdDlWHZyqarkmv9CKAzhs2tcsWRFDWpqQw4bpXWGpRliyxMCVV1RFjDhfIiVP\nP9T2tBPnMss/APQDwKNUxSWG97vQkZrYv1UGH9rnPAztcx7QjHMekWAj3vZFdtFgeb1TBQAf1/9R\ntm2x7JYzvuE7IhQNo0+5TSz5/AHe/vjDAHA7gJkAasvfhBge356vyngcoVXLUTV3dgiAFwACM6Yj\nMAMgTfsCtQ2RQwB+G161Ipp65rmuljgNWnIyVJ9PsaqrJgOYtcfTExWvz+Ho0XOf+xvlZcyGsfSg\nDWgBRKQBmKq43DeTop7k6d1fAkShLRvuc2b2Mrqff6Vb8ye22nxWKAijshyRgi0IbVlfEyvZ4SRV\nzQcwX8aiSwCMkGzdaZtml4J5J6bLsergMMMVjsoWV8x0FCxLYsbsiBwyXO2KTjXCjh02fnlVVSQW\n5Qttm/dbZXWYsQygDQBP7JUxUfbrOUUo4tD2GCdS2Yq3fRtGT2J3jDz5ViiaEzs2zEJp3iIAwJZl\nH8Yri9c7Q5UFMZa2YsZD9WuGBCAA4N91htqq5qyElFut6mo17967pXA4v5Wx6GMAfqjrzfgMgFXS\nMF746fjo9xw3io3iIpcjq2XSaCmnn+Ur++i954locF2UqJ4gDnD6im3dHGLL+rFFBhwERKSRpufp\nSakJSUdN8vqHjITiqs05j1eUQU9O1VvcINyyEN2xDcH1K+OhLestKxgQpGnbAPwgY9GPASyWplHW\n4oPpokPR5Vh1cPw+kZrdXTsshKuklBg1pcAOR2166umUIz45fU+iUcbll1WGYjF+4AhzqmoruUi8\nDODRULSMG3OqmBmmFYGutY+agCJUto1om89DRPAk1rakyx5+FtwJWchb8TFY2q7KHaurAKwCkAxg\nOIB5AE4A4Hf7MzBw4lVwelOU6pKNaRt+eF1jaa4C80V2NLJbLhEz37LnvMzMQneoraHW7hkxCvr3\n32YaO3Zcj3qHr5YNVjCg2+EwFM/e71u8pBixgnwCMK3FRjQDIvIA+LWWkJTQ5/rb9tLgcqR0O6hx\n7VgU0R35CG5cHYvvLJXRwm260PXt0oj/F8wzACyXlnnYVvd2UUuXY9XBUQT6JiZ2/hUzZsakswrt\nrfmmmDc/lZKTO/8xtSbMjN/eUh0pKZZfGgYePdT2tDdElCOEdk/fHpNldsakvaKZoUgplqz7r2XZ\nMfWUCfe1i02K0GGabe9Y7Yqqu5DZ7xik9hyF5V8/Kp3uJFJ19zgzHjaZ7WqhaEel9BiBrP7HY9do\nitObCpZmIjM3L9Oe5T+KXnj2kaRLLkPy6LEHbTcRQdT2Dtx9eOa44vHkGqUlw1x9dq+Yk0YcZe+8\nGWFb3sXMbR4aJCIVwBTS9OtIUc9yde8VTZt8ZpOETRvDjsdgBWsQLy+BWV2B4KY14WjRdlVxOHPt\naORDgHMBfGzHopHWO4ouOgNdjlUHRzJ0v7fzOyFTL94hV6yJi29mpVJWVtfHbk+eezZsfvutsTUa\n5asOYxHQ/THcoXmd6clDxa75PrY0sbVwrllQsjAu2VJ6ZUw0ALj3PUzroapOEa4qRFHufNhmDBl9\nJ0JzeGEaEdSUbkI8UoVYqMKIhnbGjEiVjIUrmpWMk9F3EvypvVG8eQEy+01CWf7SQDRQyqYR0cFS\nCEWzosEyXXN4jZQeI7SU7iM8nqTuIBKIBEpQtOlbTkzvT9K2sGPjbAAAEfmZOdBUG9iyngbwSHDu\nnBY5VvEdhYjlbzMh5St7P0sBGf3JQZWmiYovphmBRQsUoTu+hrSfO+iJ9wPVfpASAfQnVbuSVO0K\nLSGJksZM8vmHjBaqx9cstWVpxBHYsAo1KxfVRIu2O1naJFStghRlqx2LLgLzMgDvW5FQx+6j1EWb\nQ0fmObxzQEQ+XUd53pLejoxundcZufCaIp72dRjTv0ihoUMPbd5MRyQSkRg2pMyyLAxg5rxDbU9b\nQ0Q6ahu5xnZ5zK+p7hdt2zjT5UwyslJHJaqKA1t2zA1LaX1v2bGbBKkrJ428xetytI8if1UgHyty\n/2dbVrQhgpbR9xi4vKnYtmpaDYCNzDIIIIzaJToFwCN7DgNgXwabqJUBqOevqFX1LgFgAPADiAPo\nB+BsoWiXkFBSkrOGw+VL8xSs+WKvAYVQy6S0MprjnBPR3/3HHHdr2tnnN015tRGKX3spEtm08a9s\nWY/tNb6q/taRkflQ1q9u8RjFRSh7/3+GFQjMYSN+OTNXNMPOFAAjUNujrxLAusZEc4mIhNM1W8ai\nJ5CqmqrHF/cPG+NKGD5Wbe4SHzMjWrgN1SsWxgPrVkBo+hI7Gn4Gte936RF6E9TFAehyrDowRHRC\nn2xtWu7CnE7bifiRZypx90MV+OCjZIwbd9Dn7cMW22ZcfmmVsWCBoSsKfm9Z/PShtqktICIi0CWK\n4rjfto3eAEgo2k4wf21LYwFqL5bbUSsS2kcRuptIdLfs2GPMPJOIful1dXtu4oibG6IMO6tzUVGz\nxRyYfVqbe+vMjPziH5C7/StkDz8LxbnfRhTdbetOv6o5PEq4uigWC+10KppjvW3Fv2Bpz0Zt4ni4\n7vgFAOcuP6NRmyu1HsBXAEqa0taFiAYSKecqmuNyy4iMqH/c5UsP21aMzXgILO2E5rSIISIDQmh9\nH9rLJ2oSRlkpCv/1RJBNM7P+ePcYXyGHYxbH4yfUPVAI5pymdhIgoqFCd9zF0r7QkZphgEhYoQDb\nkZBOmr4GoGIiJDMjESz9bNs+zZ+o9b7+drdQm39DyraNyPatCOWus2rWLouzaVSwbb3Atv0KM3cp\nkndxQLocqw6M36fMvf4K/8TjJjj1HlkaRg93tImWSltRVGIhe0we/u82L37z24NOZThssW3Gb26p\nic6ZHV8ZDvP1qBUwzG/uOHW5I6cC+LI1eq61NkQ0RRH6vZrqPmpIn3PcSb5sAIRIrAI7qzfJULQ8\nwmxTJFZhuJ0pnpKK1TqAowH8WH/xJaILAXqvW9KgWL9ep7hZ2vhh9bMAgPbKuQKA2T8+ZGf2P07p\nNey0vZ6zzRgCFfkIlG+2qko2RqKBUhcINrPUwCyIhEVCsYmEZVvxhi8ECXWLtM1+zbWFiBIBHIfa\nKkETQBGAAmauasYYhFqnFn0ffqK5JgAASt5+PRpZt+ZhaZr372ceB4CM5ny+iUgjVbuPhPh98tGT\n9aSjJimq56fziB0NI1pUADsageJ0QThcdb+dUD1ekNI8p8oKB1G9fKGsWDg3ToIKpWW9z6bxIYDl\nXZGpLppDl2PVgSEiBgBFAUsJEgKc6BdSMmBZTKpC7PcJPu0kt/LM39OoTmSzw1BYbGLwMflS04Hv\nf0gTfn/Hsu9Qc+9fA7F334muCod5MjMfVIIrEQndgTxFIEtR6IlgUN7R2na2BFXRbxNCu79/z1Nc\nmakjIMT+L3bMjC2Fs43inaticTOoClJm29L4FMA3AAJCaL8n0O265tWj8Upl3JBrkejr1S7HAgCL\n17zI7NJ52Ik3HfDDLG0TUtoQigoipdGbIiMWxNIvHoyxtD2HwikmouMBzMPkk9H31DOatW9kcy6C\nixdGwutWm2xZ2cxc04p2DRW640NnZs+eWede7tbq2r20NsyM6I58VC6aFwltXitIUT+R8djfmXlV\nm0zYxRFBl2PVgSEifuHfiTjvHDdsW+LjT2PYlGsiGGREIozERIGdFRKfTYuyIOJpb2SJyce2S15v\nk4lGJbqPypOnn+kQjzzaNifHzsjdd9XIN9+ICgBDmHn9wY5TH3F48G9+PP5YcHZlpZzSela2DCLq\nrwh91cQRNztdjuaLLMaMACprtqKscl1VZWCrg1mCwRqAxczyGACYMu7PB3TWWpMN275ASfVaa9zZ\n97bapEum3x82Y4EJzLy2tcZsKs2NWEnTQGjlCoSW/xiIbtnsB9HvwfwuM5e0kj0KKeptEOKv6aec\n60wcdTS1dpSeWSJWtB3hbbl29fKFYSsSirBlPQaWrzBzZatO1sURSefNiD7MISKPqsI64zSXCgCK\nInDRBY07Tf98IoGu+1U1pl6yA8tm9sTwwc0qdmlTXC6Byce4xI8/xiSArpAVgDffjKDOqQKAdUTk\nZuaDresXQkDaNgvTRIdSa1YV110908c6DsapAgCn7kdW2ihkpY1KYpYwzDCYJbYVfz82Fq+2crKO\nU9vTqQKAJF8OtpctaVVxW39KjqzYsWoigHZ3rJiZiSgfQLYZi0Fz1p47drz8AuIlO8ChELTUNOnq\n05fjO3ZE4sU7nIrLtdQOhV4CsIWlnNtathBRX+Fwvq+ndBvY/fwrXXpiSmsNDQAwqitRs3KRVbV0\nQZylXQHmmdKIvwrg+464hN5F56XLseqguFx07aCBalzX6YDvkaIIvPJSMp15brk16qTt6ujhDvuK\ni3zKmg0Gtm4z+eJzPfTrq9qnkqoxrv65H+dfHRazZsYw5eSO4/QdCt54PcJ/ujtAAGwAIwFkt8Cp\nAgBVVRH961+CHgDntoqRrYQQSo7bmdoq4QYiAYdeW8MxKOeMQ9beKSWhL8CSTCMKTW8d3V5/t76+\n6rLckwG81CoDNp/eAGThs09D7iwD9ljFMMvLdpgVOx+DlFsAzLeCwSbLOTQFIiII5SZStUdSj5vq\nTB5/vGip4vmuGNUVKJs9PRbKXWuD6C02zeeZeXmrTdBFF3vQ5Vh1QKi2hOrRU09xNquM7vNP09R/\nPRfEA38LKivWxJGVKezkFCFuuWsnRg9zYsKYQyPgfvZUL6662MfXXVuNOfNSKSfnyPzYzZkdx4MP\nBEIAbmXm+otoi6IUzBwnopN0HacYBh5uuZWth2GG3tlZvWlCVtqojrU+3QJU1QEiwTWlmyi158hW\nGdOfkgOAj22VwQ6CuqgVZHlpw0MAPmfms9t6biLqIRzOdzR/4qjuF1zldqSmt9rYdjSM8vlfm9XL\nF1okxFNsWQ+1hxBpF10cmVe4TgAz9CknNf/G/Dc3+TBqhIaJR+tQVaEAwEU/3ylPu3QHKjb0EYcq\nwf3lpzJo2eq4PO+cCrlsRTdFiM5T3dgavPFGBH+6KwAApzLzD605NjMvBrC4NcdsJTaEomWHVfuO\nYLgEzJJCVdvRmGMV2JmHHRvnoKZ8i5XYrX/U5U/3OdyJkLYFaZuwjAiKNs2FLznb8Cb30kkolhGt\nNlnKQy3wNgLAaczcLqr/RCRAdD2p2uPJ409wpB57skqidVZYrUgI1csW2BU/zDFB4j22zDtkK+WA\nddFFU+hKXu+AEFGSENi5fWum0LSWOyCxmET/ISV86Xk+vPxUxiHzaAJBG5nD8/iMsxx46unEI8az\neuZfIfOxR0OQEhqA7keKFg4RuYiU6mNG/kZvL1HPtoRZoiqwDUs3vIaxZ/4VlhlFNFiKaLAM4eqi\nYCRQIqOB0roKDfoO4E9V3TMVhEpIGZYsQ9I2YwDbAB0NllkAXkOtiOhcZt7w/+3dd5iU5dUG8Pu8\n7/TZTgcRFAV7FAuaIIgFW+y9xCQa/VTUJJoYYyzBGFuiokZjbFiwxYINpQiCokhHpYguIr1s3536\ntvP9wWJQUZbd2Z3Znft3XVxcO/vOzJndYffmKefJ4strMyKyi/j8T/tLyvbsdcovikJde2bkcVMb\n16L646nJ+iULRAxzrGelb8mXrynlFgarHCQig3r1NN+ZP7tbxn4bvfpaApddUYtxz/bE0cPa5hDb\nrRn1SA3+8NdKrFjVPWs1tKUnHo97d90ZW5NI6CEA1uZbPxzT8P/eNPy37tDtwHBBpKsURrojEuqE\nTK6hyRTXtZBM1yCZrt38t1PbsFKS6WrX81x1PStoiJnw1I0AgOELVJm+4OfquZ84VmIegKWNfyrz\n7fvcFCLig8g1Ypo3dhlyrK9s0NCgtHAEXVWRWFGOimnjY6n1qx31vFHw3IdUtSJDZRNtN04F5iDD\nwJFHDw9mdJX3qSdHMGFSyjv+3LVG3z4+99F/djWHDW77gFVabEIVKC93sMsuHfvtN+6tFO66M9aQ\nSOgQVV2T7XqywfXse0Xko6/XfXiqIeZeAAYqvLIuJbu5PbvsG+5UvEubNr1V9eC4KdTH16G67ivU\nNKyI18VWRU0jkPA8J2Ca/g0ivlWq3lLHTX4O4Eps6gh/ISBHuZ5zn4h0B1DlOZbj2mkGqCYQkX3F\n73821LVnr54nnx9t6Y4/VQ+xLxejYuo7DXZddb1npW8CMEZVeU4fZR1HrHJQWZkxfdTdJT879ujM\nLzZftcrBiN/WeDNn2kbfPj73iVHdzCEHt93a4qpqB133XI53p3RC//7ZXlbSemZ+bOGCX9Qkkkkd\nzB1I3yYi3QVytmH4f18Y7dFtr36nNrslww9J2zG4rgXXs1EXW4WUVe8uX/O+uWldNoBNvZsMANcD\nqALwJjad/cZt9xkkImExzZEwzBHdjz41WLzPgWZLgrR6LuoXL0DFtHdibiK+xrPSNwAY29TjcYja\nAoNVDiosNNZPHNelW2uO6Kxa5eDyK2u8WXNsY+rYXhg8qG3C1eV/2oAxrzR4S5Z2y725oAxZutTG\nSSdUJxIJPVlVJ2W7nly16TBmubG4oNdVB+15cVFT76eqSNsNm6brUjVIpqv1qzXTmvrbeoxA0gp9\nAkA9Nh3kyzDVCkRkiPgDz0b77lLS47gzC3wFTf4Wf4/nOKj7bLZWvj8h4dnWF146dT2ACZxypVzE\nYJVjGs99s8uXdEdbHAHzy4uq9N3JaZTP7Cs79GjdEaSHRtfiqr9U4I47i3DOuR1mB/63rF/n4pij\nK+M1NXqZ5+kz2a4n14lITwBr9t7lDKTStZ7lJFyB+MOhUth2AqYZQDJdC9ez3fWVn4rrWd/8o/CZ\noUUAlrmutVjhXQfgBYHhU3ivi5gDVb09AH0ewLuNd9kIwOPoRusSkWLxB0aJ6Tuz58/PjhQO2KvZ\nj2XXVaNm3gy7Zt5HjrruLLWtG1X1gwyWS5RxDFY5JhIx/rzbAN/149/qXNAWa088z8Pgwyrd6ipP\nNizaqdXaMYx+vg4XX7MRf7quAJeP6JgHMqsqTjmpOr5okX1PKqU3Zbue9mDzkSoixiJVbwKAKhFz\nuECinjoHAFItYqxUdVcAMAHMsyafOAAAHiVJREFUBvAoNh1YHWt8jE4AKrGp99LPs/Va8t2m76Wc\nJX7/g0W77xvpdtRJITPUvOUMyXWrUPXhu6nYsiUeIE+rYz+gqoszXDJRq2CwyjGlpcbku24rOfzk\nk9qumWci4WGn/usx4cWeOOLQzC9of+G1epx/+Qb89rdRXP2Hwow/fi6wbcVJJ1RZCxc6AQBFqppT\nx8vkMhE5E8Drqppu/mMYFwI6WVVXZLC0vNMYdH+CTS0gVm6eahMRP4B+AA4GMBrAsQB2ARABEAdQ\nYARCv/AVFO7Y4+dnFUZ679ys50+sXo6K996OJ9etTKnr3QHPfURVM9rpnai1MVjlEBHpGQ7JlzM+\n6Brp2TOjx5Ft0z77r3eHDoqYzz3cI6OP+/r4GE67cB0uviSCG25s/hqLXHfVFbXx8RNSc1NJHAxg\nP/7vmtobEYmakYLnod5RqqrqOCkA4wHdA5C+RiDodxOxb+bwC3ff1/IVFMKz0rbhDxjRvv3DBbvu\ngea0UEisXo6Nk9+MpzeuS3mOcxM89/GWBG2ibOrY+93bn6MHDQo4bR2qAODaqwvNa/5UhysuTOKn\nB4VRW+dgabndomNwxk+J4/QL1+H8X4Q7bKiaNCml994di5cvc6xUEseqaiKb9YiICcBQVTubdVD7\nIoZxhPgDT0Z37t+9x3Fn+sTnh1W1MRxf/sU5TrwBxXvtj2DnbkisXo4VzzyI3f50J8QwNx+5tV1H\nbwGN/adWLkNiRTmSa1amE6u+iqtjXwfVJ/nepfaOI1Y5pKjQmHf/qJL9jj82O2f6XfDrKm/8xLRR\nVChefYMaAGAawIL3dsQe/bfveJ2JU+M4/ry1OOXUkN47qmN2Wf94hoVfXlBdl0rhzyL43HX1vWzX\nZBjylCou8PlwgW1z8Xw+EZEwALc5vZwMf+DfgU5dLtnpomuM1lzbma5Yj8rpE9341+UN6jp1XjrV\nB4Y5A557uKqmWu2JidoQg1WOEJFdiwrl0yWfdQ9l4hib5lr2lYNnn4/jhOPC2GcfH3r2WY/JL/fC\n0J82fRff3E+SOPi41Tjp5JB73/0lbT/81gbSacXQQyvi69Z553uevpbtejYTkRMBvN74YSEPnc0f\nIrL5h/mBANar6uom3q+v+ANTe554bp+i3fbJeF3qeahfPB9rX392y5uPAPAegBAAh6NU1JFwKjBH\niODwI48ISTZDFQD029mHm/5S/K3bopHtWzNx9qXr3b339hkdNVQBwMP/jjsNDfqx6jchJieo6hs+\nn5wGYE/XRTLb9VDratyJd6oRCl2wxc2zATwuIpeqqrON+58kPt/TnQcfFSwcsHdGa1NV1C+ap2tf\nf1YgRgOAQgDHY9OxP181Lozne5Q6HAarHFFUJGcPOyy4ffNtbUAViEabHvbemhjDV1875gcfdm7F\nqrLr668dPPhgzEolcVEuNih0HH0VwKvZroNal4h0N0KRF8xw5MBOhwyLFPTbHf6iElTPmmZvnPLW\neeq6F4lImarWNF5fCGAHVV0iIgHxB+41I9Ff9j7zomi4V9+M1KTqIfbFYtQu+DgeK18cBSAAElDv\nb6r6j4w8CVGOY7DKEbaN/Q4etN1rQNtEQRNHrBYsTOG0i9bp6WeE0KePr8Otq1r6uY0Lf10bX7XK\njQaDuJVb+6mtiUh/ACEY5uni819dOvCQYJchR/vE/N+P8rKDhvoLd9/Xv+LpB9JuMjFORJ4Q07cH\nDOMyeF5IDPPvRiDw63DvnUt6nXRexAy3vMXK96b7RK4FUAeRKvW88S1+AqJ2hGusckSnTub8hx8s\n2fewIRk9e7nFuvZai8rFO6O0dOuzerbt4b5Ha/HA47Xe6rWucfAhfufF/5b52vJg3bZQW+Ph0MEV\nyXhc71KF4bq4i+uXqLU09pMaBMMYbgbDu6p6YXWdXdS2f2JGCmKFA/b2lQ0aGgp26vqDj6Gui5r5\nM7zkqq8SgU5dw4W7/cRMV6zT1Po1TmH/vfzhHfq2+ADszYFq45Rxcc9KLfPSqVsBvMJjgiifccQq\nR3iuFm7vWqbWZtubfja+9FY9LjijGKHQ/+qLxVxc+PsNOvbtuPh80MOGBeW5F0vRdydfh3xP3Xdf\nzLUdvGjb+tds10Idm4gUGYHgeCMY3qdoj58E/SWdfIY/ADEMBMo6I9SzT5NOZRDTRNkBgw0cMPib\now5CXXtI8Z4DW3R2lboOUuvXoHr2+8n6RfPDRjC0xEunrgQwJRenxonaGkesckQkYmx867XOXfbe\nq3XP69seruuhx47rYZpQ14WUlRruIQeETM8DJk5NaGGh6I03Fhqnnxlu8f98c9n69S6GDK5IpVLY\ntak7rYiaQ0QGiD8woXjPgd27H3t6sDnNNluLXV+Lus/moGbO9LhnW1VQfcKz0q8BWLStRfJE+aRD\nji60NyJyWNcuRkH/XXPr22GaBgIBeLfdXmTsNzCA559LmFPfS7tiQG64sdC46Dfbsaq9nSovd3DR\nhTWuKt5mqKLWJKY5XPyBsd2OOilUut8hOZGoPMdG7fwZ3oZ33zAAWGL65qtt3aGaOy1GiHJNbv0m\nz197DBoU0GAw93JKl86GN3OmbZx5VgQ33VyEm25Gh22h8F0PPRhz7rg95gNg+nzg2X/Uagx/4CrD\nH7iz95kXhSI79st2OUiuXYmKaePj8a8+jxrB0GR43iQA//XcNDdsEG0Dg1WWiYgZDstVxx4danoH\nzjY0YIDPXLzIVmzaNp03vvzSwah7YykAu6nqmmzXQx2PiPgA9BF/YKQvWnjKjuddGgqUZqdNiWdb\nsOtqUPnhpGT9wnnhxgJvBjDTTSWnZ6UoonaKwSpLRCQK4AbTRPGOO5q9TjslO8fYbMsBAwPy8KNx\nD3kWrF5+KWl5Hh5mqKJMEpGoEQzdpZ53LiDFRiiULN5zoNHlsONCZqh1fwZY1RVIrV8Nz3HgLyxG\nwxcLkd64ri61YU2Ruq6ljh0Uv/9fAJ4BUKGet75VCyLqoBisMkBEoiUl8qppSqllabXPB6+2VmsA\n9FDFUQD2BtAggkNUMVtVlwI4HMB1rgs8dH9pzi7+HnZYCP+4J5YT6z3agucpHnss4f77oXgAwNvZ\nroc6DhHZ1wiG3irYZfeuXYYc4/eXdIIYRquOVLvpFOoXztXq2R/U23U1Kj7fTKi6Xjp1nJjmSnXd\n6wG5DNALAHieZX3dmvUQ5QMGqxYqLTHGADivV08zdc3vC0OxmMI0gbffSbnj3kmZhoGk58EPbOpi\nDgBFRcbrBQVy9L3/KMGJJ4RyNlQBwH77+qAKLFvmoF+/jv92eejBuHPfqNgaAH1E0A+bzjMjahER\n2UV8/undjzktWrzX/q3+fE68AZUfvmvVzv/YE9Oc4qVT9wN417MtdyuXP7uV24iomTr+b8pWZJpy\nYufOxskTxnVC//6+0JZ9qM44LWJalqJ8meO3LMXFl9UkVqxwI4YBXHtN4QlnnRExSkpyfyDIMAxE\nwnCnTE6Z/foVbPsO7YyqYtZMG5GoIBwW3H9/LJ1O41AAq9mJhDLFCIXv63TwsHBrhyonEUfVjClO\nzdwPHTGMMerYIz3b4m5WojbEYNVMIuIrLpJ7/nlnSXS/fbd+FE0gINhj9019qT6Y0jXiuIpoRCAi\nuZ+ottC9h+nNnWObF1+S7Uoy7+5/xqxH/hNvSKdRFgoJXAe3quqqbNdFHYeIlInpO7LswENb7d+9\nm0qi6uOpTvWsaY4YxstqW9d7fB8TZQWD1XYQkZ3Lyow7PU/38PuxZsAAf+fhRzbt3ORQSNBe13/v\ntYffv3Cx7QFoV4FwW159JamPPhKvSaXwEwC9k0mdDWB2tuuiDudnoZ6900YgmPHDQD0rjepZ0+zK\nj6Y4IvJGY6D6KtPPQ0RNx2C1HcrKjFeGDQ3uc9yxIePdyamdbh1ZHDaM9hmWtsdBBwYwaXIq22Vk\n1OLFNv58XV0ymcQRqroBwAa01+RLuW6HQFmXjB6p4NkWauZMdyqnT7JUdYLa1p+9TZtiiCjLGKy2\ng+vqskMHB/c94fgwTjg+nJv9EVrBkYcHccPNMBzHg8/X/getXFcx4vLauG3jSlVdlO16qMOz1HEy\nciix5zionT/DqXh/vA3Pm+ZZ6T+q6sJMPDYRZQaDVRMVFxvXp1L6890G5N+XbKedfBAB5s2zcdBB\nTZv6zGWvvJxExUZvuePgyWzXQnkh5aVTCQDNbq3gplOonfeRV/nR5BQ8b5Znpf+gqnMzWCMRZUj+\npYRmMA05qayTcePbb3QO9t81dw5JbisigsICcT943zLbe7CKxz38/daGVH29XqQ8gZzahqWu06xp\nZifWgOpZ06zqOdNdEZngWemRqrog0wUSUeYwWG2DiBwbjcpzTz5WFsrHULVZ796mzp9vZ7uMZlNV\nrFvn4cnRCTUMmaTqzcp2TZQ30up52zWHbtVWoerDdxN1n80ViDynjn0bF6UTtQ8MVt9hGHK+Kp4B\nYJomrohG5fYXn+0UOejAjG/oaVcOGRTwjXk+oXV1nhQXt491Vhs2uLjn7pg9aWLatiz1pVLqWBYi\nAC7Pdm2UVzyoNukfjV1fgw2T3kjEyhd56ulD8Nx7GjdXEFE7wWC1BdOUwY2hCsEganbp5zMef6Qs\nsvNO/DLdfGMRnnsxqaNGxeTmm4ta/flUFXPm2Jg0MW1/8YWT6NPHDA4ZGggNHRqEz7ftWZWVKx0c\nM7wqZRh4pr5eXzNNBF0XrwHooaprW/0FEP1PqRmJmj92gROr39TYc94MG8AodZy7VLWujeojogxi\nYmhkmnJYKCTjRj9Wip8dEsTadW7Rjr1N5EM7haYIBg3sP9Avs2ZailZsS5BKKkaMqNVJE9MSjsgG\n29LHHQcLxUDfl19KnheNSt/HR5dG9977h6dlPU9x5Yi6lGXpX9NpvfM7n2aoorbW2Rct3OqQt11f\ni6oZU6zaBTM9Mc0x6tgjVZWd0onaMQYrACJSEA7LK08+Xho5bEgIANC3D78033XYkKDcPSrmoRWD\n1RGHV7qrVrkmACQTaqrqX7b49O2GIeece3b1o5Mmd4527/7tQYCJE1O49ZaG+poaz6+KzywL/2yt\nOomazDC6mN8JVumqjaicPinW8PknJsQYrY59q2db67JVIhFlDtMDAJ8P1x0xLBjYHKpo684+M4K/\n3dZgLFhgYd8fOManuTxPsc9eG1Ffr1umpe/1CvM8fT4YlAGX/l/tNWNfKyvYfID1vLkWrhxRG0sm\ncTqAcgArVDUjvYOIWsLwB3qZ4SgAILV+NTa+N64qsaLcr643CtD7VbUqyyUSUQZJvu84F5HeAFbO\nm9UVO/RiztyWM86p9GbNtjB3flejoCBzi9jvuL0BDz0Y3/KmHX/ozD4R8QGw+/Y18f70Lqiq8nDE\nsIpkTY2e43n6esaKIsoAXyQ6ofSAQ4enKzdYsS8XxdWxbwXwiKrGsl0bEWVe+9je1bq6AsDb76Tc\nbBfSHrwwpsyIRASnnFyVsa/X5Mmp74aqET92ELKqOgDeKCySFABc+8e6RDKJxxiqKBe5ycTwyg8m\nIL5syX3q2Duq6j0MVUQdV94Hq8buxX3+fkdDfMnn7bdPU1sxTQPjx3U2yr90zTtub8jIY/76l7Vb\nfnitqj7UhLuNjkYkNXFiCh9Ot2qTSf1TRoohah3Xu+nUtQxURB1f3gcrAFDVlQL8++FHYvyh1wR9\nevvxjzuK8e+H4pg922rx44XDkgZQB+BfqvqPbV0vIhIK4VcD9w8U/vGaukQioeerarLFhRC1jp0A\n3J3tIoiobTBYNUok9fnJU9ItTwl54vxzoxh2WMA7/9xqL5Fo2RrxY48Lis+Hv6nqldu6VkRuEMGT\nXbqaQ+vrPc+28aaqvteiAohakap+rar82UKUJxis/mdRbZ0X2VjBpVZNNebJMiMYFJx9VnWLktXG\njZ5hGOi7retEZDGAv6nign/9q7jk5ZeSTiymf2jJcxMREWUSg1UjVXWCQRlzx10N6WzX0l74fAbe\nGtvZ+PQTx/jXA81fbzX9A8tn2+j+Y9eIyH0AdgeAUfcV46mnEinDkP+wmSIREeUSBqstNDTo7E8/\ns7lWZzv07+/HzTcU4h93xfH5ku1b/G9ZignjUwAAVZwuIp23dp2I/AbAVQDw8xNC2LW/D2+PS1mJ\nhP61ZdUTERFlVt73sdqSYYilCv+cj7tix97sabU9jjuxwl36hSOz5nQxotGm5fVbRtZbz45JrEom\n0a/xpu/1rhKRKIAYAAw7POA9+VSpceLPq+MLF9rXOI7+J6MvgoiIqIU4YrUFVewR8OOTCy+uSTNw\nbp+xL3Uyg0HR/fer8ObO/fF1urNnWzj3nGr7sUcTgWQSh6qqqKoAKBCRfiJiNP6JAuiz+X5PPV1m\nvD0ujWXLnPWui8da+SURERFtNwarLahquWVjUHm5s/zf/4kzWW2HYNDAJ3O6mgce4MepJ1fjjjvq\nv3fN2rUuzj+vOnbGadX2rFnWJAD7q+o6ABCRnfx+LCgplQWGARuA4/ejprhYZl3126i1fEU3pFKK\nG2+oT8RierGqcpcBERHlHE4FboWI7BEIYH75kh6BUKjVzhvusJ4eE8e1f67Drrv63FfGlplFRQam\nvpfGZZfWJm1H77bSuFVVv7VJQEROPOgg/7Mvv9qpwLIUfj+w+RzAzW4ZWW+9+EJycn29d1ybviAi\nIqImYrDaChEJiyC+dGF3KSnhoF5zfL3CwfEnVXr19Z48/kSp3HxTfWLZMvdXqvrS1q4XkR2iUSn/\n5LOuwUDg+2F26ntp/N8ltdXJpA5Q1cpWfwFERETNwNSwdaYqZNVqzjY1V98+Pnw2r6vh94ucf14N\n1q3zlgD4wbP8VHW1aWLOS//9/qbMjRtdXDGiNplM6qkMVURElMsYrLZCVWPRqLzz4UdsadVcqoo/\n/Kk+7XlYYQiOSyR08La6T9fX67X33B371mnMqZTi0ktqE7aDUao6rXWrJiIiahn2FPgB6bQuq6v3\nPDB8bjdVxTnnV7szZlqrkkndX1W/v5J962ZUVXnBZFIRDgsaGjz84vya+BdLncnJhN7UqkUTERFl\nANdYbYWISCQiVePf6ly62wB/tstpVyxLscNO6zZ/uJOqfr099y8qMpaffEqo74ABfjz9VCK+eo37\nUiKuv+EuQCIiag8YrLZCRPYsKzNmLfm0W+S7O9Poh017P40zzqna/GHxdoxUfUNE9gwGcWE6jasj\nEflbIqE3K9+kRETUTnAqcCtKS+SsY4aHDIaqpnFdxeHDK9wlnzsmgHUALmpOqAIAVV0E4JrGP0RE\nRO0Kg9VWuB5OPOH4UCjbdeSydetcjHsniSlT08n5C2xJJHQtgD+o6ths10ZERJQtDFbfISISCGDX\nvffm2qqtSSYVz72QwG131iddF+8KMD2e0A8AfKqq8W0+ABERUQfGYPV9AwsLDHTtYma7jpyzeImN\nEVfVJFasdOfEYnq1qs7Ndk1ERES5hMHqO8JhGeH3I+h5CsPgGitgU/uEx0fH8bfbGhKWpde5Lh5U\nVS/bdREREeUa7gr8DhEpiUbl06ceL+s95NBgtsvJmtpaD7G4h4KogSt/V+PMmm2tqKnVY1S1PNu1\nERER5So2v/wOVa0V4PV583+0SXiHpap4ekxcf3LAhtTBgzemDvrZBuvThfZzNbW6J0MVERHRj+NU\n4FZYttbE4pp3XdfTacUVv6tJTZ6SXpVM6kkAPMvSbjU13vvZro2IiKg9YLDailBIBpYvc4ylX9gY\n0D8/dgdWVrk4+7zq+FfLnamxmJ6pqonGTy3NamFERETtSF6NyDRVMqlPzfg4PffQYRV4ekzH6iDw\nZbmNS0fUJAYO2lB/6RU18bo6D8mk4oRTKuPl5c4jsZieuEWoIiIiou3Axes/QEQMAG8DOHrtih7w\n+dr3DsHFS2yMvLU+/uFHacO2cbsq3opEZGQyqceXlhpIpfSNREJP5fExREREzcepwO8QkX0ArI5E\n5JZEQo++dWSR7fNJu54PnPRuCr+5tCZhWXqD62K0qtY1fupEETkwFvP+aVn4JUMVERFRy3DEqpGI\n7BwM4gNVdBOB229nX/q1lzsXlpS079nSCRNTuOSymvpkSoer6sxs10NERNSR5XWwMgwZpYrfAjgd\nwMsA8OncbujevWN0XS8vd3DksRWJREKPUNWPs10PERFRR9e+h2NawDTl2MZQBTSGqltuLuowoaqh\nwcPpZ1fWJ5P6W4YqIiKitpG3I1Yi8s0L79HdSKvCP2VSF6Nzp/YfrGprPfTfcz38frxvWTo02/UQ\nERHli7xcvC4iOwYCWG1Z2OGZ0WU4eniow5xd43mKSy6rSQIIey6ezHY9RERE+STvgpWIFIbDMud3\nVxV0vmpEAUyzfbdR+K4HHox58xdY5QD2d1y1s10PERFRPsm7qcDGdgqfbFjdAyK5H6oSSQ+LFjmY\nMTPtTp2Wjn00wyryPMg7b3bG/gMD37r2oxlpnPfL6lg8rrur6uoslUxERJS38mrESkSKAMy//dZi\nR0Ry8rWrKmbNsfD6G6nkm28lncoqLxyNyopUSidYFqYaBo4D8KuuXb+976C62sOvf1OdSCb1DIYq\nIiKi7MjJcNGKjgJg/OqCSE7uhqyu9vCr31QnP/3Mrk0m9VFVvA5gQV2d522+RkTWAvjVK68mE1dd\nURAxjE2jbpdfWdMQT+ho19XxWSqfiIgo7+XVVKCI9AWwfOOanlmu5Ps8T9Gzzzo0RqiIqiZ/6FoR\n6RcI4Pn99g3sNvKmosK3xqXsJ56Kr08kdFdVTbdZ0URERPQtOTly0xpE5GwAywui4m3z4ix4ZWwS\nkYgsBtDtx0IVAKjqMsvCTz9baN9/1nlVa595Lj4xkdADGKqIiIiyK29GrESkEkCnF8aU4fBhoWyX\n8y2VVS5+eujGVG2dHq6qM7JdDxERETVPXqyxEpH+ADq99HwnDB2SWy2rVBW/u7o2rcATDFVERETt\nW14EKwDhHXubDUOHBAuzXciW6uo83H1vg/vRx9baWEyvyXY9RERE1DL5EqySiaS62S5iS3PnWTjz\n3KpkQ4OGARyjqqls10REREQtky+L1x3PQ84cArhqtYMzz61KxON6lqqKqn6R7ZqIiIio5fIlWKXS\naQ14XvYX6nue4rIratOOgztcV9/Mdj1ERESUOfkSrNaFQlL98Uwrq0WsXevij9fV4csv7fJkUm/L\najFERESUcXmxxkpVtazMePC5FxIjf3pIsFWmBGtrPWzY6CIaFezQywfbVsz42MKs2ZZ+vtS2vlru\n2MuWub5IVN6uqdWrVXNrzRcRERG1XD71seoWCmHF4k+7BwuiLR+oU1VM/9DC46PjDXPnW0Z1tecL\nh6XKsrSgTx+fkUioUVvjrU9b+orrYLHrYTWA6VykTkRE1HHlTbACgEjEmHDn34uHn31WpNmPsX69\ni6nT0hj9dDz+5ZdObTyhf1fFBwCWqKorIiaAIwE4AKZoPn2BiYiI8lxeBSsROanfzuaz703qGg2F\nZLvuW1/v4aaR9alXxia8gF/ea4jpCwBeUFWndaolIiKi9ibfgpWUlMjYggLjqMceLo0M3C/QpPt9\n9ZWD08+psioq3DfSaVyuqhWtXCoRERG1Q3kVrIBN4QrAZXvu4bvlvUldO23r+lWrHRwxvCIVi+uj\njoNrVNVugzKJiIioHcq7YAUAIhKKRGTlA6NKupxwfPib2xcvsTHmuURq5UrH9gfEtG21Fi6ygw31\nOrK+wbsziyUTERFRO5CXwQoAROSAcFimPfRASeSY4SGMfT2p11xbF0+n9W7Pw1IAfgA2gDiAN7kI\nnYiIiLYlb4MVAJimDC6IytPJlPb2+aQumdShqroo23URERFR+5TXwWozESkEkFbV7LZmJyIionaN\nwYqIiIgoQ/LlrEAiIiKiVsdgRURERJQhDFZEREREGcJgRURERJQhDFZEREREGcJgRURERJQhDFZE\nREREGcJgRURERJQhDFZEREREGcJgRURERJQhDFZEREREGcJgRURERJQhDFZEREREGcJgRURERJQh\nDFZEREREGcJgRURERJQhDFZEREREGcJgRURERJQhDFZEREREGcJgRURERJQhDFZEREREGcJgRURE\nRJQhDFZEREREGcJgRURERJQhDFZEREREGcJgRURERJQhDFZEREREGcJgRURERJQhDFZEREREGcJg\nRURERJQhDFZEREREGcJgRURERJQhDFZEREREGcJgRURERJQhDFZEREREGcJgRURERJQhDFZERERE\nGcJgRURERJQhDFZEREREGcJgRURERJQhDFZEREREGcJgRURERJQhDFZEREREGfL/JkrUpcoHreAA\nAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x116933f90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax, cb = choroplethNYC.choroplethNYC(precincts, \"shape_area\", cb=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-03-19T23:38:52.782123",
     "start_time": "2017-03-19T23:38:52.777183"
    },
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "source": [
    "# Shape files"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "source": [
    "shapefiles can also be read into GDFs with geopandas. Generally they are zipped directories when you download them"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-03-25T12:12:30.933450",
     "start_time": "2017-03-25T12:12:15.290939"
    },
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Archive:  NYC_shapefiles/Police Precincts.zip\n",
      "replace geo_export_be3a4049-303e-42f1-a875-70e07e3011a3.dbf? [y]es, [n]o, [A]ll, [N]one, [r]ename: ^C\n",
      "DPR_Inspection_001.xml\n",
      "DPRshort.xml\n",
      "\u001b[34mNYC_shapefiles\u001b[m\u001b[m\n",
      "README.md\n",
      "Spatial Joins.ipynb\n",
      "TrafficVolumeCounts2012-2013_.csv\n",
      "TrafficVolumeCounts2012_2013_.csv\n",
      "Traffic_Volume_Counts__2012-2013_.csv\n",
      "Untitled.ipynb\n",
      "Untitled1.ipynb\n",
      "Untitled2.ipynb\n",
      "UsingShapeFiles.ipynb\n",
      "\u001b[34mWIMLDSSmartCities\u001b[m\u001b[m\n",
      "ZIP_CODE_040114.dbf\n",
      "ZIP_CODE_040114.prj\n",
      "ZIP_CODE_040114.sbn\n",
      "ZIP_CODE_040114.sbx\n",
      "ZIP_CODE_040114.shp\n",
      "ZIP_CODE_040114.shp.xml\n",
      "ZIP_CODE_040114.shx\n",
      "bigquery_credentials.dat\n",
      "census00_metadata.csv\n",
      "census10_metadata.csv\n",
      "census10_metadata.numbers\n",
      "\u001b[34mcrimeData\u001b[m\u001b[m\n",
      "geo_export_be3a4049-303e-42f1-a875-70e07e3011a3.dbf\n",
      "geo_export_be3a4049-303e-42f1-a875-70e07e3011a3.prj\n",
      "geo_export_be3a4049-303e-42f1-a875-70e07e3011a3.shp\n",
      "geo_export_be3a4049-303e-42f1-a875-70e07e3011a3.shx\n",
      "\u001b[34mnyu_2451_34510\u001b[m\u001b[m\n",
      "parkInspectionParser.ipynb\n",
      "parksInspections.csv\n",
      "\u001b[34mroadsLength\u001b[m\u001b[m\n",
      "\u001b[34mtmp\u001b[m\u001b[m\n",
      "tmp.py\n",
      "\u001b[34muber\u001b[m\u001b[m\n",
      "\u001b[34muber-tlc-foil-response\u001b[m\u001b[m\n"
     ]
    }
   ],
   "source": [
    "!unzip NYC_shapefiles/Police\\ Precincts.zip\n",
    "!ls"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "source": [
    "the files got unpacked under thename geo_export_be3a4049-303e-42f1-a875-70e07e3011a3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-03-19T23:40:20.397170",
     "start_time": "2017-03-19T23:40:20.257474"
    },
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "source": [
    "and you need to read in only the shape file explicitly, though you need the other files to exist in the same directory for the shapefile to be read correctly:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-03-25T12:12:32.455299",
     "start_time": "2017-03-25T12:12:30.939028"
    },
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>geometry</th>\n",
       "      <th>precinct</th>\n",
       "      <th>shape_area</th>\n",
       "      <th>shape_leng</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>(POLYGON ((-74.0438776157395 40.69018767637665...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.718213e+07</td>\n",
       "      <td>79979.389271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>POLYGON ((-73.98863862848766 40.72293372026369...</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.808880e+07</td>\n",
       "      <td>18676.124259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>POLYGON ((-73.99968392160721 40.73855224865976...</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.213193e+07</td>\n",
       "      <td>27182.610113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>POLYGON ((-73.97345324119571 40.71896288708222...</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.836339e+07</td>\n",
       "      <td>17301.475777</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>POLYGON ((-73.97160900246391 40.72672340116989...</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2.139401e+07</td>\n",
       "      <td>19773.401872</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>POLYGON ((-74.00138603698601 40.76285009500188...</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2.722863e+07</td>\n",
       "      <td>40043.175251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>POLYGON ((-73.98155997085217 40.74388188334704...</td>\n",
       "      <td>13.0</td>\n",
       "      <td>2.950966e+07</td>\n",
       "      <td>27735.246247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>POLYGON ((-73.97464798076284 40.75336712262782...</td>\n",
       "      <td>14.0</td>\n",
       "      <td>2.051016e+07</td>\n",
       "      <td>20974.709243</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>(POLYGON ((-73.96421230395677 40.7466043184766...</td>\n",
       "      <td>17.0</td>\n",
       "      <td>2.227428e+07</td>\n",
       "      <td>26848.186307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>POLYGON ((-73.99393666655916 40.77317984583595...</td>\n",
       "      <td>18.0</td>\n",
       "      <td>3.228033e+07</td>\n",
       "      <td>42179.905777</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>(POLYGON ((-73.94471650134327 40.7697865052794...</td>\n",
       "      <td>19.0</td>\n",
       "      <td>4.873742e+07</td>\n",
       "      <td>29563.145215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>POLYGON ((-73.96933573385066 40.78529327955722...</td>\n",
       "      <td>20.0</td>\n",
       "      <td>2.767100e+07</td>\n",
       "      <td>27040.994382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>POLYGON ((-73.94923186072994 40.79687307194661...</td>\n",
       "      <td>22.0</td>\n",
       "      <td>3.830139e+07</td>\n",
       "      <td>32701.349170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>(POLYGON ((-73.93224093714262 40.7896948816873...</td>\n",
       "      <td>23.0</td>\n",
       "      <td>2.146773e+07</td>\n",
       "      <td>19438.112088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>POLYGON ((-73.95964685423152 40.80115642325645...</td>\n",
       "      <td>24.0</td>\n",
       "      <td>2.547987e+07</td>\n",
       "      <td>20706.919076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>(POLYGON ((-73.93804640603439 40.7808295442755...</td>\n",
       "      <td>25.0</td>\n",
       "      <td>4.479312e+07</td>\n",
       "      <td>52199.007378</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>POLYGON ((-73.94607828740384 40.82126321606224...</td>\n",
       "      <td>26.0</td>\n",
       "      <td>2.383601e+07</td>\n",
       "      <td>23938.497091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>POLYGON ((-73.94131742369481 40.80771334638101...</td>\n",
       "      <td>28.0</td>\n",
       "      <td>1.528954e+07</td>\n",
       "      <td>17098.987088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>POLYGON ((-73.94017085151192 40.83038445643903...</td>\n",
       "      <td>30.0</td>\n",
       "      <td>1.883744e+07</td>\n",
       "      <td>21627.000873</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>POLYGON ((-73.93444684733436 40.83599434852258...</td>\n",
       "      <td>32.0</td>\n",
       "      <td>2.300999e+07</td>\n",
       "      <td>25291.411359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>POLYGON ((-73.9292876130438 40.84585098714959,...</td>\n",
       "      <td>33.0</td>\n",
       "      <td>2.586307e+07</td>\n",
       "      <td>21744.958114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>POLYGON ((-73.9292876130438 40.84585098714959,...</td>\n",
       "      <td>34.0</td>\n",
       "      <td>5.211346e+07</td>\n",
       "      <td>45567.020301</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>(POLYGON ((-73.90222284765609 40.8049481131900...</td>\n",
       "      <td>40.0</td>\n",
       "      <td>6.040498e+07</td>\n",
       "      <td>33335.019373</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>(POLYGON ((-73.89833036270556 40.8024128209400...</td>\n",
       "      <td>41.0</td>\n",
       "      <td>6.213680e+07</td>\n",
       "      <td>48004.212157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>POLYGON ((-73.88066051304018 40.83749805200495...</td>\n",
       "      <td>42.0</td>\n",
       "      <td>4.481813e+07</td>\n",
       "      <td>33516.163261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>(POLYGON ((-73.8389292661039 40.83442719875428...</td>\n",
       "      <td>43.0</td>\n",
       "      <td>1.133252e+08</td>\n",
       "      <td>62190.129354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>POLYGON ((-73.90270221290083 40.84458296359185...</td>\n",
       "      <td>44.0</td>\n",
       "      <td>5.553014e+07</td>\n",
       "      <td>31395.738554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>(POLYGON ((-73.78833349834372 40.8346671302619...</td>\n",
       "      <td>45.0</td>\n",
       "      <td>2.715168e+08</td>\n",
       "      <td>308991.552768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>POLYGON ((-73.89138023291916 40.86170058876478...</td>\n",
       "      <td>46.0</td>\n",
       "      <td>3.832337e+07</td>\n",
       "      <td>29627.986096</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>(POLYGON ((-73.79322870948532 40.8828225949056...</td>\n",
       "      <td>47.0</td>\n",
       "      <td>1.605309e+08</td>\n",
       "      <td>86531.091004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>POLYGON ((-74.00174362111041 40.69240674970546...</td>\n",
       "      <td>76.0</td>\n",
       "      <td>4.823816e+07</td>\n",
       "      <td>68148.125461</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>POLYGON ((-73.95829216807783 40.67983113349482...</td>\n",
       "      <td>77.0</td>\n",
       "      <td>4.265183e+07</td>\n",
       "      <td>34662.441291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>POLYGON ((-73.96753196765664 40.68176878361758...</td>\n",
       "      <td>78.0</td>\n",
       "      <td>6.767711e+07</td>\n",
       "      <td>39797.363806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>POLYGON ((-73.9385685484871 40.69884813554975,...</td>\n",
       "      <td>79.0</td>\n",
       "      <td>4.497555e+07</td>\n",
       "      <td>28256.602113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>(POLYGON ((-73.91668638370811 40.6803713787894...</td>\n",
       "      <td>81.0</td>\n",
       "      <td>3.448543e+07</td>\n",
       "      <td>28386.718993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>POLYGON ((-73.89658573270863 40.68236227323615...</td>\n",
       "      <td>83.0</td>\n",
       "      <td>5.665018e+07</td>\n",
       "      <td>36940.194804</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>POLYGON ((-73.97902894510879 40.70594812677083...</td>\n",
       "      <td>84.0</td>\n",
       "      <td>3.546293e+07</td>\n",
       "      <td>38088.394888</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>(POLYGON ((-73.97892920137532 40.7059315898792...</td>\n",
       "      <td>88.0</td>\n",
       "      <td>4.239170e+07</td>\n",
       "      <td>53342.435863</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>POLYGON ((-73.92425716278299 40.71411945550854...</td>\n",
       "      <td>90.0</td>\n",
       "      <td>6.615328e+07</td>\n",
       "      <td>51577.859109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>POLYGON ((-73.92467622369145 40.71988569648594...</td>\n",
       "      <td>94.0</td>\n",
       "      <td>6.563004e+07</td>\n",
       "      <td>42426.777374</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>(POLYGON ((-73.83668274106707 40.5949466970158...</td>\n",
       "      <td>100.0</td>\n",
       "      <td>2.052072e+08</td>\n",
       "      <td>283978.097846</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>(POLYGON ((-73.76669139771178 40.6142546554500...</td>\n",
       "      <td>101.0</td>\n",
       "      <td>8.467290e+07</td>\n",
       "      <td>78288.881077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>POLYGON ((-73.81709738756589 40.70402980108508...</td>\n",
       "      <td>102.0</td>\n",
       "      <td>1.333145e+08</td>\n",
       "      <td>52865.281067</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>POLYGON ((-73.75121246970107 40.70730657957547...</td>\n",
       "      <td>103.0</td>\n",
       "      <td>1.009216e+08</td>\n",
       "      <td>48549.937982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>POLYGON ((-73.88770199270428 40.73429132275858...</td>\n",
       "      <td>104.0</td>\n",
       "      <td>2.105047e+08</td>\n",
       "      <td>75785.945508</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>POLYGON ((-73.74629861901801 40.63643879947936...</td>\n",
       "      <td>105.0</td>\n",
       "      <td>3.473368e+08</td>\n",
       "      <td>133233.405384</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>(POLYGON ((-73.82639242910476 40.6483243486165...</td>\n",
       "      <td>106.0</td>\n",
       "      <td>1.725286e+08</td>\n",
       "      <td>106970.379309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>POLYGON ((-73.756697712923 40.72622871055659, ...</td>\n",
       "      <td>107.0</td>\n",
       "      <td>2.075012e+08</td>\n",
       "      <td>69289.883773</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>(POLYGON ((-73.96095347592636 40.7497692856769...</td>\n",
       "      <td>108.0</td>\n",
       "      <td>1.396010e+08</td>\n",
       "      <td>73560.889040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>POLYGON ((-73.77060974520977 40.782079793942, ...</td>\n",
       "      <td>109.0</td>\n",
       "      <td>3.226846e+08</td>\n",
       "      <td>132334.036251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>POLYGON ((-73.83591564941987 40.74343089339343...</td>\n",
       "      <td>110.0</td>\n",
       "      <td>1.121040e+08</td>\n",
       "      <td>72812.610864</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>POLYGON ((-73.71351828238181 40.75983773083408...</td>\n",
       "      <td>111.0</td>\n",
       "      <td>2.601546e+08</td>\n",
       "      <td>97483.215806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>POLYGON ((-73.83289066481898 40.72794986030247...</td>\n",
       "      <td>112.0</td>\n",
       "      <td>8.894508e+07</td>\n",
       "      <td>41644.036156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>(POLYGON ((-73.78478547486449 40.6179807218354...</td>\n",
       "      <td>113.0</td>\n",
       "      <td>3.896367e+08</td>\n",
       "      <td>214239.193154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>(POLYGON ((-73.94180032729426 40.7690469266246...</td>\n",
       "      <td>114.0</td>\n",
       "      <td>1.799970e+08</td>\n",
       "      <td>113665.343237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>POLYGON ((-73.85907893495997 40.7625228322724,...</td>\n",
       "      <td>115.0</td>\n",
       "      <td>1.132939e+08</td>\n",
       "      <td>58272.204348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>POLYGON ((-74.05356753570328 40.60369646682845...</td>\n",
       "      <td>120.0</td>\n",
       "      <td>2.325348e+08</td>\n",
       "      <td>96174.468481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>(POLYGON ((-74.15945602438185 40.6414483333240...</td>\n",
       "      <td>121.0</td>\n",
       "      <td>4.757147e+08</td>\n",
       "      <td>138111.676965</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>(POLYGON ((-74.05050806403284 40.5664220346634...</td>\n",
       "      <td>122.0</td>\n",
       "      <td>4.547809e+08</td>\n",
       "      <td>154884.929301</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>POLYGON ((-74.16982656393461 40.56107800369057...</td>\n",
       "      <td>123.0</td>\n",
       "      <td>4.607882e+08</td>\n",
       "      <td>120870.716714</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>77 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             geometry  precinct    shape_area  \\\n",
       "0   (POLYGON ((-74.0438776157395 40.69018767637665...       1.0  4.718213e+07   \n",
       "1   POLYGON ((-73.98863862848766 40.72293372026369...       5.0  1.808880e+07   \n",
       "2   POLYGON ((-73.99968392160721 40.73855224865976...       6.0  2.213193e+07   \n",
       "3   POLYGON ((-73.97345324119571 40.71896288708222...       7.0  1.836339e+07   \n",
       "4   POLYGON ((-73.97160900246391 40.72672340116989...       9.0  2.139401e+07   \n",
       "5   POLYGON ((-74.00138603698601 40.76285009500188...      10.0  2.722863e+07   \n",
       "6   POLYGON ((-73.98155997085217 40.74388188334704...      13.0  2.950966e+07   \n",
       "7   POLYGON ((-73.97464798076284 40.75336712262782...      14.0  2.051016e+07   \n",
       "8   (POLYGON ((-73.96421230395677 40.7466043184766...      17.0  2.227428e+07   \n",
       "9   POLYGON ((-73.99393666655916 40.77317984583595...      18.0  3.228033e+07   \n",
       "10  (POLYGON ((-73.94471650134327 40.7697865052794...      19.0  4.873742e+07   \n",
       "11  POLYGON ((-73.96933573385066 40.78529327955722...      20.0  2.767100e+07   \n",
       "12  POLYGON ((-73.94923186072994 40.79687307194661...      22.0  3.830139e+07   \n",
       "13  (POLYGON ((-73.93224093714262 40.7896948816873...      23.0  2.146773e+07   \n",
       "14  POLYGON ((-73.95964685423152 40.80115642325645...      24.0  2.547987e+07   \n",
       "15  (POLYGON ((-73.93804640603439 40.7808295442755...      25.0  4.479312e+07   \n",
       "16  POLYGON ((-73.94607828740384 40.82126321606224...      26.0  2.383601e+07   \n",
       "17  POLYGON ((-73.94131742369481 40.80771334638101...      28.0  1.528954e+07   \n",
       "18  POLYGON ((-73.94017085151192 40.83038445643903...      30.0  1.883744e+07   \n",
       "19  POLYGON ((-73.93444684733436 40.83599434852258...      32.0  2.300999e+07   \n",
       "20  POLYGON ((-73.9292876130438 40.84585098714959,...      33.0  2.586307e+07   \n",
       "21  POLYGON ((-73.9292876130438 40.84585098714959,...      34.0  5.211346e+07   \n",
       "22  (POLYGON ((-73.90222284765609 40.8049481131900...      40.0  6.040498e+07   \n",
       "23  (POLYGON ((-73.89833036270556 40.8024128209400...      41.0  6.213680e+07   \n",
       "24  POLYGON ((-73.88066051304018 40.83749805200495...      42.0  4.481813e+07   \n",
       "25  (POLYGON ((-73.8389292661039 40.83442719875428...      43.0  1.133252e+08   \n",
       "26  POLYGON ((-73.90270221290083 40.84458296359185...      44.0  5.553014e+07   \n",
       "27  (POLYGON ((-73.78833349834372 40.8346671302619...      45.0  2.715168e+08   \n",
       "28  POLYGON ((-73.89138023291916 40.86170058876478...      46.0  3.832337e+07   \n",
       "29  (POLYGON ((-73.79322870948532 40.8828225949056...      47.0  1.605309e+08   \n",
       "..                                                ...       ...           ...   \n",
       "47  POLYGON ((-74.00174362111041 40.69240674970546...      76.0  4.823816e+07   \n",
       "48  POLYGON ((-73.95829216807783 40.67983113349482...      77.0  4.265183e+07   \n",
       "49  POLYGON ((-73.96753196765664 40.68176878361758...      78.0  6.767711e+07   \n",
       "50  POLYGON ((-73.9385685484871 40.69884813554975,...      79.0  4.497555e+07   \n",
       "51  (POLYGON ((-73.91668638370811 40.6803713787894...      81.0  3.448543e+07   \n",
       "52  POLYGON ((-73.89658573270863 40.68236227323615...      83.0  5.665018e+07   \n",
       "53  POLYGON ((-73.97902894510879 40.70594812677083...      84.0  3.546293e+07   \n",
       "54  (POLYGON ((-73.97892920137532 40.7059315898792...      88.0  4.239170e+07   \n",
       "55  POLYGON ((-73.92425716278299 40.71411945550854...      90.0  6.615328e+07   \n",
       "56  POLYGON ((-73.92467622369145 40.71988569648594...      94.0  6.563004e+07   \n",
       "57  (POLYGON ((-73.83668274106707 40.5949466970158...     100.0  2.052072e+08   \n",
       "58  (POLYGON ((-73.76669139771178 40.6142546554500...     101.0  8.467290e+07   \n",
       "59  POLYGON ((-73.81709738756589 40.70402980108508...     102.0  1.333145e+08   \n",
       "60  POLYGON ((-73.75121246970107 40.70730657957547...     103.0  1.009216e+08   \n",
       "61  POLYGON ((-73.88770199270428 40.73429132275858...     104.0  2.105047e+08   \n",
       "62  POLYGON ((-73.74629861901801 40.63643879947936...     105.0  3.473368e+08   \n",
       "63  (POLYGON ((-73.82639242910476 40.6483243486165...     106.0  1.725286e+08   \n",
       "64  POLYGON ((-73.756697712923 40.72622871055659, ...     107.0  2.075012e+08   \n",
       "65  (POLYGON ((-73.96095347592636 40.7497692856769...     108.0  1.396010e+08   \n",
       "66  POLYGON ((-73.77060974520977 40.782079793942, ...     109.0  3.226846e+08   \n",
       "67  POLYGON ((-73.83591564941987 40.74343089339343...     110.0  1.121040e+08   \n",
       "68  POLYGON ((-73.71351828238181 40.75983773083408...     111.0  2.601546e+08   \n",
       "69  POLYGON ((-73.83289066481898 40.72794986030247...     112.0  8.894508e+07   \n",
       "70  (POLYGON ((-73.78478547486449 40.6179807218354...     113.0  3.896367e+08   \n",
       "71  (POLYGON ((-73.94180032729426 40.7690469266246...     114.0  1.799970e+08   \n",
       "72  POLYGON ((-73.85907893495997 40.7625228322724,...     115.0  1.132939e+08   \n",
       "73  POLYGON ((-74.05356753570328 40.60369646682845...     120.0  2.325348e+08   \n",
       "74  (POLYGON ((-74.15945602438185 40.6414483333240...     121.0  4.757147e+08   \n",
       "75  (POLYGON ((-74.05050806403284 40.5664220346634...     122.0  4.547809e+08   \n",
       "76  POLYGON ((-74.16982656393461 40.56107800369057...     123.0  4.607882e+08   \n",
       "\n",
       "       shape_leng  \n",
       "0    79979.389271  \n",
       "1    18676.124259  \n",
       "2    27182.610113  \n",
       "3    17301.475777  \n",
       "4    19773.401872  \n",
       "5    40043.175251  \n",
       "6    27735.246247  \n",
       "7    20974.709243  \n",
       "8    26848.186307  \n",
       "9    42179.905777  \n",
       "10   29563.145215  \n",
       "11   27040.994382  \n",
       "12   32701.349170  \n",
       "13   19438.112088  \n",
       "14   20706.919076  \n",
       "15   52199.007378  \n",
       "16   23938.497091  \n",
       "17   17098.987088  \n",
       "18   21627.000873  \n",
       "19   25291.411359  \n",
       "20   21744.958114  \n",
       "21   45567.020301  \n",
       "22   33335.019373  \n",
       "23   48004.212157  \n",
       "24   33516.163261  \n",
       "25   62190.129354  \n",
       "26   31395.738554  \n",
       "27  308991.552768  \n",
       "28   29627.986096  \n",
       "29   86531.091004  \n",
       "..            ...  \n",
       "47   68148.125461  \n",
       "48   34662.441291  \n",
       "49   39797.363806  \n",
       "50   28256.602113  \n",
       "51   28386.718993  \n",
       "52   36940.194804  \n",
       "53   38088.394888  \n",
       "54   53342.435863  \n",
       "55   51577.859109  \n",
       "56   42426.777374  \n",
       "57  283978.097846  \n",
       "58   78288.881077  \n",
       "59   52865.281067  \n",
       "60   48549.937982  \n",
       "61   75785.945508  \n",
       "62  133233.405384  \n",
       "63  106970.379309  \n",
       "64   69289.883773  \n",
       "65   73560.889040  \n",
       "66  132334.036251  \n",
       "67   72812.610864  \n",
       "68   97483.215806  \n",
       "69   41644.036156  \n",
       "70  214239.193154  \n",
       "71  113665.343237  \n",
       "72   58272.204348  \n",
       "73   96174.468481  \n",
       "74  138111.676965  \n",
       "75  154884.929301  \n",
       "76  120870.716714  \n",
       "\n",
       "[77 rows x 4 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gpd.GeoDataFrame.from_file(\"geo_export_be3a4049-303e-42f1-a875-70e07e3011a3.shp\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "source": [
    "# Coordinates"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "source": [
    "Now let's spend a second discussing what the numbers we read in the geometry feature actually mean: geographies are represented on a 2D medium (screen, paper) by chosing a projection to draw spherical surfaces on a plane. Any projection causes some degree of deformation. In GIS convension different numbers indicate different projections. We will use the EPSG conventions. Once we choose the projection each point in our geography is identified uniquely by 2 numbers, the coordinates. For NYC there are 2 main coordinates system in use:\n",
    "\n",
    "**epsg = 4326 latitude-longitude (also known as WGS84).** Equatorial coordinates. The numnbers are in degrees. The precinct file above is in epsg 4326. 40.7128° N, 74.0059° W are the geographical coordinates of NYC (Manhattan City Hall). Notice that equatorial coordinates can be identified with +/- signs, or E/W and N/S, but in GIS the +/- is the only thing that makes sense, because we want to deal with numbers.\n",
    "https://en.wikipedia.org/wiki/World_Geodetic_System WGS84 comprises a standard coordinate frame for the Earth, a datum/reference ellipsoid for raw altitude data, and a gravitational equipotential surface (the geoid) that defines the nominal sea level.\n",
    "\n",
    "**epsg = 2263 New York Long Island (ftUS) (also NAD83).** The State Plane Coordinate System (SPCS) is a set of 124 geographic zones or coordinate systems designed for specific regions of the United States. By ignoring the curvature of the Earth it uses a simple Cartesian coordinate system to specify locations rather than a more complex spherical coordinate system. Therefore each \"zone\" is only accurate in the vicinity of its center. The most commonly used SPCS for NYC is the New York Long Island system. The coordinates are in feet, easting and northing (increasing numbers indicate farter east and farther north locations), notice that (0,0) is outside of the epsg = 2263 region!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-03-20T00:26:54.031601",
     "start_time": "2017-03-20T00:26:54.019474"
    },
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "source": [
    "## Converting coordinates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-03-25T12:12:32.466104",
     "start_time": "2017-03-25T12:12:32.458578"
    },
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'init': u'epsg:4326'}"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#check is a coordinate system is set first:\n",
    "precincts.crs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-03-25T12:12:32.474476",
     "start_time": "2017-03-25T12:12:32.468461"
    },
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "from fiona.crs import from_epsg\n",
    "## if the coordinates are not set they can be set with\n",
    "#precincts.crs = from_epsg(4326) \n",
    "#after one understands what it may be, which may be tricky, but again, for NYC it is generally one of the systems below\n",
    "## epsg=4326: lat/on | 26918: NAD83/UTM zone 18N | epsg=2263 is US feet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-03-25T12:12:33.850954",
     "start_time": "2017-03-25T12:12:32.479707"
    },
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total NYC land area: 302.2 (mi^2)\n"
     ]
    }
   ],
   "source": [
    "#convert to State Plane: for example this is needed to calculate areas, since epsg=2263 is in feet, while 4326 is in degrees\n",
    "\n",
    "#area in feet sq\n",
    "NYC_Area = precincts.to_crs(epsg=2263).geometry.area.sum()\n",
    "\n",
    "#convert to miles sq\n",
    "NYC_Area /= (2.788 * 10**7) \n",
    "\n",
    "print ('total NYC land area: {:.1f} (mi^2)'.format(NYC_Area))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "source": [
    "# Geometric opertions with shaped"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "source": [
    "let's read in the zipcodes, and find out which precincts are in Queens"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-03-25T12:12:35.615287",
     "start_time": "2017-03-25T12:12:33.854271"
    },
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>boro_code</th>\n",
       "      <th>boro_name</th>\n",
       "      <th>geometry</th>\n",
       "      <th>shape_area</th>\n",
       "      <th>shape_leng</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5</td>\n",
       "      <td>Staten Island</td>\n",
       "      <td>(POLYGON ((-74.05050806403247 40.5664220341608...</td>\n",
       "      <td>1623818619.17</td>\n",
       "      <td>330476.02653</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>(POLYGON ((-73.89680883223774 40.7958084451597...</td>\n",
       "      <td>1186815932.04</td>\n",
       "      <td>463934.696838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>(POLYGON ((-74.01092841268031 40.6844914725429...</td>\n",
       "      <td>636453907.24</td>\n",
       "      <td>358410.672987</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>(POLYGON ((-73.86706149472118 40.5820879767934...</td>\n",
       "      <td>1937474462.47</td>\n",
       "      <td>741074.709979</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>Queens</td>\n",
       "      <td>(POLYGON ((-73.83668274106707 40.5949466970158...</td>\n",
       "      <td>3044834738.1</td>\n",
       "      <td>895762.746967</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  boro_code      boro_name                                           geometry  \\\n",
       "0         5  Staten Island  (POLYGON ((-74.05050806403247 40.5664220341608...   \n",
       "1         2          Bronx  (POLYGON ((-73.89680883223774 40.7958084451597...   \n",
       "2         1      Manhattan  (POLYGON ((-74.01092841268031 40.6844914725429...   \n",
       "3         3       Brooklyn  (POLYGON ((-73.86706149472118 40.5820879767934...   \n",
       "4         4         Queens  (POLYGON ((-73.83668274106707 40.5949466970158...   \n",
       "\n",
       "      shape_area     shape_leng  \n",
       "0  1623818619.17   330476.02653  \n",
       "1  1186815932.04  463934.696838  \n",
       "2   636453907.24  358410.672987  \n",
       "3  1937474462.47  741074.709979  \n",
       "4   3044834738.1  895762.746967  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#a shapefile with the 5 boroughs boundaries\n",
    "boroughs = gpd.GeoDataFrame.from_file(\"NYC_shapefiles/Borough Boundaries.geojson\")\n",
    "boroughs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-03-25T12:12:39.530430",
     "start_time": "2017-03-25T12:12:35.619749"
    },
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     False\n",
       "1     False\n",
       "2     False\n",
       "3     False\n",
       "4     False\n",
       "5     False\n",
       "6     False\n",
       "7     False\n",
       "8     False\n",
       "9     False\n",
       "10    False\n",
       "11    False\n",
       "12    False\n",
       "13    False\n",
       "14    False\n",
       "15    False\n",
       "16    False\n",
       "17    False\n",
       "18    False\n",
       "19    False\n",
       "20    False\n",
       "21    False\n",
       "22    False\n",
       "23    False\n",
       "24    False\n",
       "25    False\n",
       "26    False\n",
       "27    False\n",
       "28    False\n",
       "29    False\n",
       "      ...  \n",
       "47    False\n",
       "48    False\n",
       "49    False\n",
       "50    False\n",
       "51    False\n",
       "52     True\n",
       "53    False\n",
       "54    False\n",
       "55     True\n",
       "56    False\n",
       "57     True\n",
       "58     True\n",
       "59     True\n",
       "60     True\n",
       "61     True\n",
       "62     True\n",
       "63     True\n",
       "64     True\n",
       "65     True\n",
       "66     True\n",
       "67     True\n",
       "68     True\n",
       "69     True\n",
       "70     True\n",
       "71     True\n",
       "72     True\n",
       "73    False\n",
       "74    False\n",
       "75    False\n",
       "76    False\n",
       "dtype: bool"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "precincts.intersects(boroughs.iloc[4].geometry)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-03-25T12:12:47.167488",
     "start_time": "2017-03-25T12:12:39.586132"
    },
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11936a150>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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2LY2Pmh69+ohVaownFO8cR8ivmlLdHTCzbyWNBp6X9HbUj8vN7H/l3OrqEB+x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PneS7ZdPPXbIW+11s4vokrckzn7Pw5p+q0kloTN+WSnNjkwACj5bnWP/R8vnFybW5SBqoQRsacv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\nLFaSJEmdWKwkSZI6+Tcsn+Dct8f9IQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11935bf10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = choroplethNYC.choroplethNYC(boroughs, alpha=0)\n",
    "precincts[precincts.intersects(boroughs.iloc[4].geometry)].plot(ax=ax)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-03-20T00:39:12.399076",
     "start_time": "2017-03-20T04:39:09.119Z"
    },
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "source": [
    "A lot more geometry gymnastic can be performed with geopandas. See here http://geopandas.org/geometric_manipulations.html"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "source": [
    "# Points in shapes\n",
    "you can also ask how many points are within a shape. Let's use the 311 complaints, downloading them [as instructed here](https://github.com/WiMLDS/smart_cities/wiki/Data-Access-Instructions). Careful with these queries: the datasets are very large. Lets ask for 1000 lines of complaints related to noise."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-03-25T12:12:53.247756",
     "start_time": "2017-03-25T12:12:47.169867"
    },
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requesting query... ok.\n",
      "Query running...\n",
      "Query done.\n",
      "Cache hit.\n",
      "\n",
      "Retrieving results...\n",
      "Got 1000 rows.\n",
      "\n",
      "Total time taken 2.22 s.\n",
      "Finished at 2017-03-25 12:12:53.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>unique_key</th>\n",
       "      <th>created_date</th>\n",
       "      <th>closed_date</th>\n",
       "      <th>agency</th>\n",
       "      <th>agency_name</th>\n",
       "      <th>complaint_type</th>\n",
       "      <th>descriptor</th>\n",
       "      <th>location_type</th>\n",
       "      <th>incident_zip</th>\n",
       "      <th>incident_address</th>\n",
       "      <th>...</th>\n",
       "      <th>bridge_highway_name</th>\n",
       "      <th>bridge_highway_direction</th>\n",
       "      <th>road_ramp</th>\n",
       "      <th>bridge_highway_segment</th>\n",
       "      <th>garage_lot_name</th>\n",
       "      <th>ferry_direction</th>\n",
       "      <th>ferry_terminal_name</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>location</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>27009173</td>\n",
       "      <td>2013-12-29 23:56:25</td>\n",
       "      <td>2013-12-30 02:01:23</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - House of Worship</td>\n",
       "      <td>Banging/Pounding</td>\n",
       "      <td>House of Worship</td>\n",
       "      <td>10002</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",
       "      <td>40.711346</td>\n",
       "      <td>-73.996779</td>\n",
       "      <td>(40.71134591981181, -73.99677889016449)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>31045048</td>\n",
       "      <td>2015-07-10 07:05:53</td>\n",
       "      <td>2015-08-03 12:17:42</td>\n",
       "      <td>EDC</td>\n",
       "      <td>Economic Development Corporation</td>\n",
       "      <td>Noise - Helicopter</td>\n",
       "      <td>News Gathering</td>\n",
       "      <td>Above Address</td>\n",
       "      <td>10019</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",
       "      <td>40.766145</td>\n",
       "      <td>-73.997235</td>\n",
       "      <td>(40.76614490447101, -73.99723471414629)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>32183796</td>\n",
       "      <td>2015-12-11 18:01:44</td>\n",
       "      <td>2016-01-12 13:43:13</td>\n",
       "      <td>EDC</td>\n",
       "      <td>Economic Development Corporation</td>\n",
       "      <td>Noise - Helicopter</td>\n",
       "      <td>Other</td>\n",
       "      <td>Above Address</td>\n",
       "      <td>10024</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",
       "      <td>40.781952</td>\n",
       "      <td>-73.975482</td>\n",
       "      <td>(40.781952020139805, -73.97548205139817)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>28316228</td>\n",
       "      <td>2014-06-22 19:05:27</td>\n",
       "      <td>2014-07-08 11:22:10</td>\n",
       "      <td>EDC</td>\n",
       "      <td>Economic Development Corporation</td>\n",
       "      <td>Noise - Helicopter</td>\n",
       "      <td>Other</td>\n",
       "      <td>Above Address</td>\n",
       "      <td>10024</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",
       "      <td>40.782630</td>\n",
       "      <td>-73.974983</td>\n",
       "      <td>(40.782629862446804, -73.97498349378225)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>29453785</td>\n",
       "      <td>2014-12-08 22:52:07</td>\n",
       "      <td>2015-02-23 11:06:09</td>\n",
       "      <td>EDC</td>\n",
       "      <td>Economic Development Corporation</td>\n",
       "      <td>Noise - Helicopter</td>\n",
       "      <td>Other</td>\n",
       "      <td>Above Address</td>\n",
       "      <td>11201</td>\n",
       "      <td>120 BOERUM PLACE</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>40.687864</td>\n",
       "      <td>-73.991584</td>\n",
       "      <td>(40.68786418016875, -73.99158407297959)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 53 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   unique_key        created_date         closed_date agency  \\\n",
       "0    27009173 2013-12-29 23:56:25 2013-12-30 02:01:23   NYPD   \n",
       "1    31045048 2015-07-10 07:05:53 2015-08-03 12:17:42    EDC   \n",
       "2    32183796 2015-12-11 18:01:44 2016-01-12 13:43:13    EDC   \n",
       "3    28316228 2014-06-22 19:05:27 2014-07-08 11:22:10    EDC   \n",
       "4    29453785 2014-12-08 22:52:07 2015-02-23 11:06:09    EDC   \n",
       "\n",
       "                        agency_name            complaint_type  \\\n",
       "0   New York City Police Department  Noise - House of Worship   \n",
       "1  Economic Development Corporation        Noise - Helicopter   \n",
       "2  Economic Development Corporation        Noise - Helicopter   \n",
       "3  Economic Development Corporation        Noise - Helicopter   \n",
       "4  Economic Development Corporation        Noise - Helicopter   \n",
       "\n",
       "         descriptor     location_type incident_zip  incident_address  \\\n",
       "0  Banging/Pounding  House of Worship        10002                     \n",
       "1    News Gathering     Above Address        10019                     \n",
       "2             Other     Above Address        10024                     \n",
       "3             Other     Above Address        10024                     \n",
       "4             Other     Above Address        11201  120 BOERUM PLACE   \n",
       "\n",
       "                     ...                    bridge_highway_name  \\\n",
       "0                    ...                                          \n",
       "1                    ...                                          \n",
       "2                    ...                                          \n",
       "3                    ...                                          \n",
       "4                    ...                                          \n",
       "\n",
       "  bridge_highway_direction road_ramp bridge_highway_segment garage_lot_name  \\\n",
       "0                                                                             \n",
       "1                                                                             \n",
       "2                                                                             \n",
       "3                                                                             \n",
       "4                                                                             \n",
       "\n",
       "  ferry_direction ferry_terminal_name   latitude  longitude  \\\n",
       "0                                      40.711346 -73.996779   \n",
       "1                                      40.766145 -73.997235   \n",
       "2                                      40.781952 -73.975482   \n",
       "3                                      40.782630 -73.974983   \n",
       "4                                      40.687864 -73.991584   \n",
       "\n",
       "                                   location  \n",
       "0   (40.71134591981181, -73.99677889016449)  \n",
       "1   (40.76614490447101, -73.99723471414629)  \n",
       "2  (40.781952020139805, -73.97548205139817)  \n",
       "3  (40.782629862446804, -73.97498349378225)  \n",
       "4   (40.68786418016875, -73.99158407297959)  \n",
       "\n",
       "[5 rows x 53 columns]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from pandas.io.gbq import read_gbq\n",
    "\n",
    "project = \"spheric-crow-161317\"\n",
    "sample_query = \"SELECT * FROM `bigquery-public-data.new_york.311_service_requests`\" +\\\n",
    "                \" WHERE complaint_type LIKE '%Noise%' LIMIT 1000\"\n",
    "df = read_gbq(query=sample_query, project_id=project, dialect='standard')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "source": [
    "this dataframe has geographical coordinates, but they are not encoded as GIS information"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-03-25T12:12:53.285994",
     "start_time": "2017-03-25T12:12:53.251135"
    },
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>location</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>40.711346</td>\n",
       "      <td>-73.996779</td>\n",
       "      <td>(40.71134591981181, -73.99677889016449)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>40.766145</td>\n",
       "      <td>-73.997235</td>\n",
       "      <td>(40.76614490447101, -73.99723471414629)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>40.781952</td>\n",
       "      <td>-73.975482</td>\n",
       "      <td>(40.781952020139805, -73.97548205139817)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>40.782630</td>\n",
       "      <td>-73.974983</td>\n",
       "      <td>(40.782629862446804, -73.97498349378225)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>40.687864</td>\n",
       "      <td>-73.991584</td>\n",
       "      <td>(40.68786418016875, -73.99158407297959)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    latitude  longitude                                  location\n",
       "0  40.711346 -73.996779   (40.71134591981181, -73.99677889016449)\n",
       "1  40.766145 -73.997235   (40.76614490447101, -73.99723471414629)\n",
       "2  40.781952 -73.975482  (40.781952020139805, -73.97548205139817)\n",
       "3  40.782630 -73.974983  (40.782629862446804, -73.97498349378225)\n",
       "4  40.687864 -73.991584   (40.68786418016875, -73.99158407297959)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[['latitude','longitude','location']].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-03-25T12:12:53.569262",
     "start_time": "2017-03-25T12:12:53.290325"
    },
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
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    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>unique_key</th>\n",
       "      <th>created_date</th>\n",
       "      <th>closed_date</th>\n",
       "      <th>agency</th>\n",
       "      <th>agency_name</th>\n",
       "      <th>complaint_type</th>\n",
       "      <th>descriptor</th>\n",
       "      <th>location_type</th>\n",
       "      <th>incident_zip</th>\n",
       "      <th>incident_address</th>\n",
       "      <th>...</th>\n",
       "      <th>road_ramp</th>\n",
       "      <th>bridge_highway_segment</th>\n",
       "      <th>garage_lot_name</th>\n",
       "      <th>ferry_direction</th>\n",
       "      <th>ferry_terminal_name</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>location</th>\n",
       "      <th>lonlat</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>27009173</td>\n",
       "      <td>2013-12-29 23:56:25</td>\n",
       "      <td>2013-12-30 02:01:23</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - House of Worship</td>\n",
       "      <td>Banging/Pounding</td>\n",
       "      <td>House of Worship</td>\n",
       "      <td>10002</td>\n",
       "      <td></td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>40.711346</td>\n",
       "      <td>-73.996779</td>\n",
       "      <td>(40.71134591981181, -73.99677889016449)</td>\n",
       "      <td>(-73.9967788902, 40.7113459198)</td>\n",
       "      <td>POINT (-73.99677889016449 40.71134591981181)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>31045048</td>\n",
       "      <td>2015-07-10 07:05:53</td>\n",
       "      <td>2015-08-03 12:17:42</td>\n",
       "      <td>EDC</td>\n",
       "      <td>Economic Development Corporation</td>\n",
       "      <td>Noise - Helicopter</td>\n",
       "      <td>News Gathering</td>\n",
       "      <td>Above Address</td>\n",
       "      <td>10019</td>\n",
       "      <td></td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>40.766145</td>\n",
       "      <td>-73.997235</td>\n",
       "      <td>(40.76614490447101, -73.99723471414629)</td>\n",
       "      <td>(-73.9972347141, 40.7661449045)</td>\n",
       "      <td>POINT (-73.99723471414629 40.76614490447101)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>32183796</td>\n",
       "      <td>2015-12-11 18:01:44</td>\n",
       "      <td>2016-01-12 13:43:13</td>\n",
       "      <td>EDC</td>\n",
       "      <td>Economic Development Corporation</td>\n",
       "      <td>Noise - Helicopter</td>\n",
       "      <td>Other</td>\n",
       "      <td>Above Address</td>\n",
       "      <td>10024</td>\n",
       "      <td></td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>40.781952</td>\n",
       "      <td>-73.975482</td>\n",
       "      <td>(40.781952020139805, -73.97548205139817)</td>\n",
       "      <td>(-73.9754820514, 40.7819520201)</td>\n",
       "      <td>POINT (-73.97548205139817 40.7819520201398)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>28316228</td>\n",
       "      <td>2014-06-22 19:05:27</td>\n",
       "      <td>2014-07-08 11:22:10</td>\n",
       "      <td>EDC</td>\n",
       "      <td>Economic Development Corporation</td>\n",
       "      <td>Noise - Helicopter</td>\n",
       "      <td>Other</td>\n",
       "      <td>Above Address</td>\n",
       "      <td>10024</td>\n",
       "      <td></td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>40.782630</td>\n",
       "      <td>-73.974983</td>\n",
       "      <td>(40.782629862446804, -73.97498349378225)</td>\n",
       "      <td>(-73.9749834938, 40.7826298624)</td>\n",
       "      <td>POINT (-73.97498349378225 40.7826298624468)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>29453785</td>\n",
       "      <td>2014-12-08 22:52:07</td>\n",
       "      <td>2015-02-23 11:06:09</td>\n",
       "      <td>EDC</td>\n",
       "      <td>Economic Development Corporation</td>\n",
       "      <td>Noise - Helicopter</td>\n",
       "      <td>Other</td>\n",
       "      <td>Above Address</td>\n",
       "      <td>11201</td>\n",
       "      <td>120 BOERUM PLACE</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>40.687864</td>\n",
       "      <td>-73.991584</td>\n",
       "      <td>(40.68786418016875, -73.99158407297959)</td>\n",
       "      <td>(-73.991584073, 40.6878641802)</td>\n",
       "      <td>POINT (-73.99158407297959 40.68786418016875)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 55 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   unique_key        created_date         closed_date agency  \\\n",
       "0    27009173 2013-12-29 23:56:25 2013-12-30 02:01:23   NYPD   \n",
       "1    31045048 2015-07-10 07:05:53 2015-08-03 12:17:42    EDC   \n",
       "2    32183796 2015-12-11 18:01:44 2016-01-12 13:43:13    EDC   \n",
       "3    28316228 2014-06-22 19:05:27 2014-07-08 11:22:10    EDC   \n",
       "4    29453785 2014-12-08 22:52:07 2015-02-23 11:06:09    EDC   \n",
       "\n",
       "                        agency_name            complaint_type  \\\n",
       "0   New York City Police Department  Noise - House of Worship   \n",
       "1  Economic Development Corporation        Noise - Helicopter   \n",
       "2  Economic Development Corporation        Noise - Helicopter   \n",
       "3  Economic Development Corporation        Noise - Helicopter   \n",
       "4  Economic Development Corporation        Noise - Helicopter   \n",
       "\n",
       "         descriptor     location_type incident_zip  incident_address  \\\n",
       "0  Banging/Pounding  House of Worship        10002                     \n",
       "1    News Gathering     Above Address        10019                     \n",
       "2             Other     Above Address        10024                     \n",
       "3             Other     Above Address        10024                     \n",
       "4             Other     Above Address        11201  120 BOERUM PLACE   \n",
       "\n",
       "                       ...                      road_ramp  \\\n",
       "0                      ...                                  \n",
       "1                      ...                                  \n",
       "2                      ...                                  \n",
       "3                      ...                                  \n",
       "4                      ...                                  \n",
       "\n",
       "  bridge_highway_segment garage_lot_name ferry_direction ferry_terminal_name  \\\n",
       "0                                                                              \n",
       "1                                                                              \n",
       "2                                                                              \n",
       "3                                                                              \n",
       "4                                                                              \n",
       "\n",
       "    latitude  longitude                                  location  \\\n",
       "0  40.711346 -73.996779   (40.71134591981181, -73.99677889016449)   \n",
       "1  40.766145 -73.997235   (40.76614490447101, -73.99723471414629)   \n",
       "2  40.781952 -73.975482  (40.781952020139805, -73.97548205139817)   \n",
       "3  40.782630 -73.974983  (40.782629862446804, -73.97498349378225)   \n",
       "4  40.687864 -73.991584   (40.68786418016875, -73.99158407297959)   \n",
       "\n",
       "                            lonlat  \\\n",
       "0  (-73.9967788902, 40.7113459198)   \n",
       "1  (-73.9972347141, 40.7661449045)   \n",
       "2  (-73.9754820514, 40.7819520201)   \n",
       "3  (-73.9749834938, 40.7826298624)   \n",
       "4   (-73.991584073, 40.6878641802)   \n",
       "\n",
       "                                       geometry  \n",
       "0  POINT (-73.99677889016449 40.71134591981181)  \n",
       "1  POINT (-73.99723471414629 40.76614490447101)  \n",
       "2   POINT (-73.97548205139817 40.7819520201398)  \n",
       "3   POINT (-73.97498349378225 40.7826298624468)  \n",
       "4  POINT (-73.99158407297959 40.68786418016875)  \n",
       "\n",
       "[5 rows x 55 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#turn lat long into shapely points\n",
    "df.dropna(axis=0, subset=['latitude','longitude'], inplace=True)\n",
    "df['lonlat'] = list(zip(df.longitude, df.latitude))\n",
    "df['geometry'] = df[['lonlat']].applymap(lambda x:shapely.geometry.Point(x))\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-03-25T12:12:53.637897",
     "start_time": "2017-03-25T12:12:53.572718"
    },
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>unique_key</th>\n",
       "      <th>created_date</th>\n",
       "      <th>closed_date</th>\n",
       "      <th>agency</th>\n",
       "      <th>agency_name</th>\n",
       "      <th>complaint_type</th>\n",
       "      <th>descriptor</th>\n",
       "      <th>location_type</th>\n",
       "      <th>incident_zip</th>\n",
       "      <th>incident_address</th>\n",
       "      <th>...</th>\n",
       "      <th>road_ramp</th>\n",
       "      <th>bridge_highway_segment</th>\n",
       "      <th>garage_lot_name</th>\n",
       "      <th>ferry_direction</th>\n",
       "      <th>ferry_terminal_name</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>location</th>\n",
       "      <th>lonlat</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>27009173</td>\n",
       "      <td>2013-12-29 23:56:25</td>\n",
       "      <td>2013-12-30 02:01:23</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - House of Worship</td>\n",
       "      <td>Banging/Pounding</td>\n",
       "      <td>House of Worship</td>\n",
       "      <td>10002</td>\n",
       "      <td></td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>40.711346</td>\n",
       "      <td>-73.996779</td>\n",
       "      <td>(40.71134591981181, -73.99677889016449)</td>\n",
       "      <td>(-73.9967788902, 40.7113459198)</td>\n",
       "      <td>POINT (-73.99677889016449 40.71134591981181)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>31045048</td>\n",
       "      <td>2015-07-10 07:05:53</td>\n",
       "      <td>2015-08-03 12:17:42</td>\n",
       "      <td>EDC</td>\n",
       "      <td>Economic Development Corporation</td>\n",
       "      <td>Noise - Helicopter</td>\n",
       "      <td>News Gathering</td>\n",
       "      <td>Above Address</td>\n",
       "      <td>10019</td>\n",
       "      <td></td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>40.766145</td>\n",
       "      <td>-73.997235</td>\n",
       "      <td>(40.76614490447101, -73.99723471414629)</td>\n",
       "      <td>(-73.9972347141, 40.7661449045)</td>\n",
       "      <td>POINT (-73.99723471414629 40.76614490447101)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>32183796</td>\n",
       "      <td>2015-12-11 18:01:44</td>\n",
       "      <td>2016-01-12 13:43:13</td>\n",
       "      <td>EDC</td>\n",
       "      <td>Economic Development Corporation</td>\n",
       "      <td>Noise - Helicopter</td>\n",
       "      <td>Other</td>\n",
       "      <td>Above Address</td>\n",
       "      <td>10024</td>\n",
       "      <td></td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>40.781952</td>\n",
       "      <td>-73.975482</td>\n",
       "      <td>(40.781952020139805, -73.97548205139817)</td>\n",
       "      <td>(-73.9754820514, 40.7819520201)</td>\n",
       "      <td>POINT (-73.97548205139817 40.7819520201398)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>28316228</td>\n",
       "      <td>2014-06-22 19:05:27</td>\n",
       "      <td>2014-07-08 11:22:10</td>\n",
       "      <td>EDC</td>\n",
       "      <td>Economic Development Corporation</td>\n",
       "      <td>Noise - Helicopter</td>\n",
       "      <td>Other</td>\n",
       "      <td>Above Address</td>\n",
       "      <td>10024</td>\n",
       "      <td></td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>40.782630</td>\n",
       "      <td>-73.974983</td>\n",
       "      <td>(40.782629862446804, -73.97498349378225)</td>\n",
       "      <td>(-73.9749834938, 40.7826298624)</td>\n",
       "      <td>POINT (-73.97498349378225 40.7826298624468)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>29453785</td>\n",
       "      <td>2014-12-08 22:52:07</td>\n",
       "      <td>2015-02-23 11:06:09</td>\n",
       "      <td>EDC</td>\n",
       "      <td>Economic Development Corporation</td>\n",
       "      <td>Noise - Helicopter</td>\n",
       "      <td>Other</td>\n",
       "      <td>Above Address</td>\n",
       "      <td>11201</td>\n",
       "      <td>120 BOERUM PLACE</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>40.687864</td>\n",
       "      <td>-73.991584</td>\n",
       "      <td>(40.68786418016875, -73.99158407297959)</td>\n",
       "      <td>(-73.991584073, 40.6878641802)</td>\n",
       "      <td>POINT (-73.99158407297959 40.68786418016875)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 55 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   unique_key        created_date         closed_date agency  \\\n",
       "0    27009173 2013-12-29 23:56:25 2013-12-30 02:01:23   NYPD   \n",
       "1    31045048 2015-07-10 07:05:53 2015-08-03 12:17:42    EDC   \n",
       "2    32183796 2015-12-11 18:01:44 2016-01-12 13:43:13    EDC   \n",
       "3    28316228 2014-06-22 19:05:27 2014-07-08 11:22:10    EDC   \n",
       "4    29453785 2014-12-08 22:52:07 2015-02-23 11:06:09    EDC   \n",
       "\n",
       "                        agency_name            complaint_type  \\\n",
       "0   New York City Police Department  Noise - House of Worship   \n",
       "1  Economic Development Corporation        Noise - Helicopter   \n",
       "2  Economic Development Corporation        Noise - Helicopter   \n",
       "3  Economic Development Corporation        Noise - Helicopter   \n",
       "4  Economic Development Corporation        Noise - Helicopter   \n",
       "\n",
       "         descriptor     location_type incident_zip  incident_address  \\\n",
       "0  Banging/Pounding  House of Worship        10002                     \n",
       "1    News Gathering     Above Address        10019                     \n",
       "2             Other     Above Address        10024                     \n",
       "3             Other     Above Address        10024                     \n",
       "4             Other     Above Address        11201  120 BOERUM PLACE   \n",
       "\n",
       "                       ...                      road_ramp  \\\n",
       "0                      ...                                  \n",
       "1                      ...                                  \n",
       "2                      ...                                  \n",
       "3                      ...                                  \n",
       "4                      ...                                  \n",
       "\n",
       "  bridge_highway_segment garage_lot_name ferry_direction ferry_terminal_name  \\\n",
       "0                                                                              \n",
       "1                                                                              \n",
       "2                                                                              \n",
       "3                                                                              \n",
       "4                                                                              \n",
       "\n",
       "    latitude  longitude                                  location  \\\n",
       "0  40.711346 -73.996779   (40.71134591981181, -73.99677889016449)   \n",
       "1  40.766145 -73.997235   (40.76614490447101, -73.99723471414629)   \n",
       "2  40.781952 -73.975482  (40.781952020139805, -73.97548205139817)   \n",
       "3  40.782630 -73.974983  (40.782629862446804, -73.97498349378225)   \n",
       "4  40.687864 -73.991584   (40.68786418016875, -73.99158407297959)   \n",
       "\n",
       "                            lonlat  \\\n",
       "0  (-73.9967788902, 40.7113459198)   \n",
       "1  (-73.9972347141, 40.7661449045)   \n",
       "2  (-73.9754820514, 40.7819520201)   \n",
       "3  (-73.9749834938, 40.7826298624)   \n",
       "4   (-73.991584073, 40.6878641802)   \n",
       "\n",
       "                                       geometry  \n",
       "0  POINT (-73.99677889016449 40.71134591981181)  \n",
       "1  POINT (-73.99723471414629 40.76614490447101)  \n",
       "2   POINT (-73.97548205139817 40.7819520201398)  \n",
       "3   POINT (-73.97498349378225 40.7826298624468)  \n",
       "4  POINT (-73.99158407297959 40.68786418016875)  \n",
       "\n",
       "[5 rows x 55 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "noisegdf = gpd.GeoDataFrame(df)\n",
    "noisegdf.crs = {'init': 'epsg:4326'} ## noisegdf did not have a defined crs, \n",
    "                                     # but it is clearly in 4326: lat/lon\n",
    "noisegdf.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-03-25T12:13:03.231466",
     "start_time": "2017-03-25T12:12:53.640876"
    },
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11ded1410>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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yOgcYIUF//9T0j6rUfftSxU//JfrzOB/4BtiSxC0mA5+JyLW4/QUPjryfqr4n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\n9F1F5omm8J6qSnwsEoVuq+t5qk8eq1jVlLlG16mTQ+tcMbq41teZ7N9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YPlF3Ba7ZMaxu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\nUHXYQQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11935b490>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = choroplethNYC.choroplethNYC(boroughs, alpha=0)\n",
    "noisegdf.plot(ax=ax)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "source": [
    "Let's count the complaints by borough. This information is already in the dataframe, but let's just demonstrate how you could do it. This is also painfully slow... see below for a more \"geopythonic\" way to do that!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-03-25T12:13:35.444185",
     "start_time": "2017-03-25T12:13:03.234070"
    },
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "noisegdf['borough'] = np.array([np.where(boroughs.geometry.contains(noise))[0][0] \n",
    "                                for noise in noisegdf.geometry.values[:]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-03-25T12:13:35.458657",
     "start_time": "2017-03-25T12:13:35.446309"
    },
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "noisegdf.dropna(subset=['borough'], inplace=True)\n",
    "noisegdf['borough'] = noisegdf['borough'].astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-03-25T12:13:35.498551",
     "start_time": "2017-03-25T12:13:35.461527"
    },
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Staten Island 3.51 %\n",
      "Bronx 17.85 %\n",
      "Manhattan 30.39 %\n",
      "Brooklyn 29.29 %\n",
      "Queens 18.96 %\n"
     ]
    }
   ],
   "source": [
    "for i in range(len(boroughs)):\n",
    "    print (boroughs.iloc[i].boro_name, \"%.2f\"%(sum(noisegdf['borough'] == i) * \n",
    "                                               100. / len(noisegdf)),'%')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "source": [
    "map the noise"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-03-25T12:13:43.339553",
     "start_time": "2017-03-25T12:13:35.501772"
    },
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
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6A8L3ql2d3FTgPYSVw/LFLysZITJilSRJMkJI2hP4HjC/7ecGOdaCwH+IgvYP2l66m/sr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\nYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1200f9310>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "colors = [\"r\", \"y\", \"b\", \"g\", 'purple']\n",
    "fig, ax = choroplethNYC.choroplethNYC(boroughs, alpha=0)\n",
    "for i in range(len(boroughs)):\n",
    "    noisegdf[noisegdf.borough == i].dropna().plot(ax=ax, color=colors[i])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "source": [
    "Finally, lets print the percentage of calls on top of the neighborhood shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-03-25T12:13:45.287605",
     "start_time": "2017-03-25T12:13:43.342575"
    },
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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O5YhVSinVbx3i/58XN3j9W8CE5P+Dm0LSJMDT5duONknurvOAlyR9ZztrSqUO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rSRpGl7KE5+CaeM7m2wjyStip2Hw4ZqKI6sbIXTVV/HkaMrcEF2f5il7vcxEXGTpHGStqdLXf5A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\njQVqrennA5sAfwdOjYhjhsnUJ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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1220b6d90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = choroplethNYC.choroplethNYC(boroughs, alpha=0)\n",
    "for i in range(len(boroughs)):\n",
    "    center = boroughs.iloc[i].geometry.centroid.coords[0]\n",
    "    pl.text(center[0], center[1], \"{0:.1f}%\".format(sum(noisegdf['borough'] == i) * \n",
    "                                                    100. / len(noisegdf)), \n",
    "            fontsize=20, horizontalalignment=\"center\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "source": [
    "# A note about efficiency\n",
    "the way I show how to count complaints in each borough with a list comprehension is **very inefficient**. GeoPandas has faster functions to do spatial analytics tasks!\n",
    "checkout the spatial joint *sjoin* method: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-03-25T12:13:45.302269",
     "start_time": "2017-03-25T12:13:45.290250"
    },
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "gpd.sjoin?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-03-25T12:13:45.458116",
     "start_time": "2017-03-25T12:13:45.306328"
    },
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>unique_key</th>\n",
       "      <th>created_date</th>\n",
       "      <th>closed_date</th>\n",
       "      <th>agency</th>\n",
       "      <th>agency_name</th>\n",
       "      <th>complaint_type</th>\n",
       "      <th>descriptor</th>\n",
       "      <th>location_type</th>\n",
       "      <th>incident_zip</th>\n",
       "      <th>incident_address</th>\n",
       "      <th>...</th>\n",
       "      <th>road_ramp</th>\n",
       "      <th>bridge_highway_segment</th>\n",
       "      <th>garage_lot_name</th>\n",
       "      <th>ferry_direction</th>\n",
       "      <th>ferry_terminal_name</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>location</th>\n",
       "      <th>lonlat</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>27009173</td>\n",
       "      <td>2013-12-29 23:56:25</td>\n",
       "      <td>2013-12-30 02:01:23</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - House of Worship</td>\n",
       "      <td>Banging/Pounding</td>\n",
       "      <td>House of Worship</td>\n",
       "      <td>10002</td>\n",
       "      <td></td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>40.711346</td>\n",
       "      <td>-73.996779</td>\n",
       "      <td>(40.71134591981181, -73.99677889016449)</td>\n",
       "      <td>(-73.9967788902, 40.7113459198)</td>\n",
       "      <td>POINT (-73.99677889016449 40.71134591981181)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>31045048</td>\n",
       "      <td>2015-07-10 07:05:53</td>\n",
       "      <td>2015-08-03 12:17:42</td>\n",
       "      <td>EDC</td>\n",
       "      <td>Economic Development Corporation</td>\n",
       "      <td>Noise - Helicopter</td>\n",
       "      <td>News Gathering</td>\n",
       "      <td>Above Address</td>\n",
       "      <td>10019</td>\n",
       "      <td></td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>40.766145</td>\n",
       "      <td>-73.997235</td>\n",
       "      <td>(40.76614490447101, -73.99723471414629)</td>\n",
       "      <td>(-73.9972347141, 40.7661449045)</td>\n",
       "      <td>POINT (-73.99723471414629 40.76614490447101)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>32183796</td>\n",
       "      <td>2015-12-11 18:01:44</td>\n",
       "      <td>2016-01-12 13:43:13</td>\n",
       "      <td>EDC</td>\n",
       "      <td>Economic Development Corporation</td>\n",
       "      <td>Noise - Helicopter</td>\n",
       "      <td>Other</td>\n",
       "      <td>Above Address</td>\n",
       "      <td>10024</td>\n",
       "      <td></td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>40.781952</td>\n",
       "      <td>-73.975482</td>\n",
       "      <td>(40.781952020139805, -73.97548205139817)</td>\n",
       "      <td>(-73.9754820514, 40.7819520201)</td>\n",
       "      <td>POINT (-73.97548205139817 40.7819520201398)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>28316228</td>\n",
       "      <td>2014-06-22 19:05:27</td>\n",
       "      <td>2014-07-08 11:22:10</td>\n",
       "      <td>EDC</td>\n",
       "      <td>Economic Development Corporation</td>\n",
       "      <td>Noise - Helicopter</td>\n",
       "      <td>Other</td>\n",
       "      <td>Above Address</td>\n",
       "      <td>10024</td>\n",
       "      <td></td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>40.782630</td>\n",
       "      <td>-73.974983</td>\n",
       "      <td>(40.782629862446804, -73.97498349378225)</td>\n",
       "      <td>(-73.9749834938, 40.7826298624)</td>\n",
       "      <td>POINT (-73.97498349378225 40.7826298624468)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>29453785</td>\n",
       "      <td>2014-12-08 22:52:07</td>\n",
       "      <td>2015-02-23 11:06:09</td>\n",
       "      <td>EDC</td>\n",
       "      <td>Economic Development Corporation</td>\n",
       "      <td>Noise - Helicopter</td>\n",
       "      <td>Other</td>\n",
       "      <td>Above Address</td>\n",
       "      <td>11201</td>\n",
       "      <td>120 BOERUM PLACE</td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>40.687864</td>\n",
       "      <td>-73.991584</td>\n",
       "      <td>(40.68786418016875, -73.99158407297959)</td>\n",
       "      <td>(-73.991584073, 40.6878641802)</td>\n",
       "      <td>POINT (-73.99158407297959 40.68786418016875)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 55 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   unique_key        created_date         closed_date agency  \\\n",
       "0    27009173 2013-12-29 23:56:25 2013-12-30 02:01:23   NYPD   \n",
       "1    31045048 2015-07-10 07:05:53 2015-08-03 12:17:42    EDC   \n",
       "2    32183796 2015-12-11 18:01:44 2016-01-12 13:43:13    EDC   \n",
       "3    28316228 2014-06-22 19:05:27 2014-07-08 11:22:10    EDC   \n",
       "4    29453785 2014-12-08 22:52:07 2015-02-23 11:06:09    EDC   \n",
       "\n",
       "                        agency_name            complaint_type  \\\n",
       "0   New York City Police Department  Noise - House of Worship   \n",
       "1  Economic Development Corporation        Noise - Helicopter   \n",
       "2  Economic Development Corporation        Noise - Helicopter   \n",
       "3  Economic Development Corporation        Noise - Helicopter   \n",
       "4  Economic Development Corporation        Noise - Helicopter   \n",
       "\n",
       "         descriptor     location_type incident_zip  incident_address  \\\n",
       "0  Banging/Pounding  House of Worship        10002                     \n",
       "1    News Gathering     Above Address        10019                     \n",
       "2             Other     Above Address        10024                     \n",
       "3             Other     Above Address        10024                     \n",
       "4             Other     Above Address        11201  120 BOERUM PLACE   \n",
       "\n",
       "                       ...                      road_ramp  \\\n",
       "0                      ...                                  \n",
       "1                      ...                                  \n",
       "2                      ...                                  \n",
       "3                      ...                                  \n",
       "4                      ...                                  \n",
       "\n",
       "  bridge_highway_segment garage_lot_name ferry_direction ferry_terminal_name  \\\n",
       "0                                                                              \n",
       "1                                                                              \n",
       "2                                                                              \n",
       "3                                                                              \n",
       "4                                                                              \n",
       "\n",
       "    latitude  longitude                                  location  \\\n",
       "0  40.711346 -73.996779   (40.71134591981181, -73.99677889016449)   \n",
       "1  40.766145 -73.997235   (40.76614490447101, -73.99723471414629)   \n",
       "2  40.781952 -73.975482  (40.781952020139805, -73.97548205139817)   \n",
       "3  40.782630 -73.974983  (40.782629862446804, -73.97498349378225)   \n",
       "4  40.687864 -73.991584   (40.68786418016875, -73.99158407297959)   \n",
       "\n",
       "                            lonlat  \\\n",
       "0  (-73.9967788902, 40.7113459198)   \n",
       "1  (-73.9972347141, 40.7661449045)   \n",
       "2  (-73.9754820514, 40.7819520201)   \n",
       "3  (-73.9749834938, 40.7826298624)   \n",
       "4   (-73.991584073, 40.6878641802)   \n",
       "\n",
       "                                       geometry  \n",
       "0  POINT (-73.99677889016449 40.71134591981181)  \n",
       "1  POINT (-73.99723471414629 40.76614490447101)  \n",
       "2   POINT (-73.97548205139817 40.7819520201398)  \n",
       "3   POINT (-73.97498349378225 40.7826298624468)  \n",
       "4  POINT (-73.99158407297959 40.68786418016875)  \n",
       "\n",
       "[5 rows x 55 columns]"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "noisegdf = gpd.GeoDataFrame(df)\n",
    "noisegdf.crs = {'init': 'epsg:4326'} \n",
    "noisegdf.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-03-25T12:13:45.955748",
     "start_time": "2017-03-25T12:13:45.473522"
    },
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 352 ms, sys: 19.6 ms, total: 372 ms\n",
      "Wall time: 463 ms\n"
     ]
    }
   ],
   "source": [
    "#use %time to see howmuch better sjoin is\n",
    "%time noisegdf = gpd.sjoin(noisegdf, boroughs, how=\"left\", op='within') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-03-25T12:13:47.917374",
     "start_time": "2017-03-25T12:13:45.958704"
    },
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
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O5YhVSinVbx3i/58XN3j9W8CE5P+Dm0LSJMDT5duONknurvOAlyR9ZztrSqUO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rSRpGl7KE5+CaeM7m2wjyStip2Hw4ZqKI6sbIXTVV/HkaMrcEF2f5il7vcxEXGTpHGStqdLXf5A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\n/z/ZRDbCzyroAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x122b364d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = choroplethNYC.choroplethNYC(boroughs, alpha=0)\n",
    "for i in range(len(boroughs)):\n",
    "    center = boroughs.iloc[i].geometry.centroid.coords[0]\n",
    "    pl.text(center[0], center[1], \"{0:.1f}%\".format(sum(noisegdf['borough'] == i) * \n",
    "                                                    100. / len(noisegdf)), \n",
    "            fontsize=20, horizontalalignment=\"center\") "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-03-25T12:14:21.611281",
     "start_time": "2017-03-25T12:13:47.920087"
    },
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 32.5 s, sys: 172 ms, total: 32.7 s\n",
      "Wall time: 33.7 s\n"
     ]
    }
   ],
   "source": [
    "%time noisegdf['borough'] = np.array([np.where(boroughs.geometry.contains(noise))[0][0] \n",
    "                                      for noise in noisegdf.geometry.values[:]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-03-25T12:14:23.426729",
     "start_time": "2017-03-25T12:14:21.614652"
    },
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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O5YhVSinVbx3i/58XN3j9W8CE5P+Dm0LSJMDT5duONknurvOAlyR9ZztrSqUO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rSRpGl7KE5+CaeM7m2wjyStip2Hw4ZqKI6sbIXTVV/HkaMrcEF2f5il7vcxEXGTpHGStqdLXf5A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\njQVqrennA5sAfwdOjYhjhsnUJ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      "text/plain": [
       "<matplotlib.figure.Figure at 0x124abf110>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = choroplethNYC.choroplethNYC(boroughs, alpha=0)\n",
    "for i in range(len(boroughs)):\n",
    "    center = boroughs.iloc[i].geometry.centroid.coords[0]\n",
    "    pl.text(center[0], center[1], \"{0:.1f}%\".format(sum(noisegdf['borough'] == i) * \n",
    "                                                    100. / len(noisegdf)), \n",
    "            fontsize=20, horizontalalignment=\"center\") "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [conda root]",
   "language": "python",
   "name": "conda-root-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.3"
  },
  "toc": {
   "colors": {
    "hover_highlight": "#DAA520",
    "running_highlight": "#FF0000",
    "selected_highlight": "#FFD700"
   },
   "moveMenuLeft": true,
   "nav_menu": {
    "height": "62px",
    "width": "254px"
   },
   "navigate_menu": true,
   "number_sections": true,
   "sideBar": true,
   "threshold": 4,
   "toc_cell": true,
   "toc_position": {
    "height": "1118px",
    "left": "0px",
    "right": "2092px",
    "top": "154px",
    "width": "212px"
   },
   "toc_section_display": "block",
   "toc_window_display": true
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}