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+ "name": "",
+ "signature": "sha256:6903eb0e3e9c3e722acc770f8b4f52089d76fe23ff0e4d28ff82e3225600d0d8"
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+ "worksheets": [
+ {
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "#Create a cloropleth map\n",
+ "This creates a cloropleth map (one with regions in one of a limited number of colours) to show the density of accidents within each district.\n",
+ "\n",
+ "Note that Basemap doesn't allow different regions of a shapefile to be drawn in different colours. Therefore, we've got to use two additional packages for this processing.\n",
+ "\n",
+ "`shapely` understands shapes and geometry. We'll use this package to find the areas of districts and to determine in an accident is in a particular district.\n",
+ "\n",
+ "`descartes` allows us to draw polygons in different colours, so we'll use that instead of the native Basemap drawing to present the results.\n",
+ "\n",
+ "We'll also do a lot of the processing of the data in Pandas dataframes.\n",
+ "\n",
+ "----\n",
+ "\n",
+ "The calculation of the densities takes several hours. To that end, the final cell in this notebook stores the DataFrame in a csv file. You can read it back with the command:\n",
+ "\n",
+ " df_map = pd.read_csv('districts_with_accident_densities.csv', index_col=0)\n",
+ " \n",
+ "Heavily uses code from http://sensitivecities.com/so-youd-like-to-make-a-map-using-python-EN.html"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "# Import the required libraries and open the connection to Mongo\n",
+ "\n",
+ "import collections\n",
+ "import datetime\n",
+ "\n",
+ "from itertools import chain\n",
+ "\n",
+ "import numpy as np\n",
+ "import pandas as pd\n",
+ "import scipy.stats\n",
+ "\n",
+ "import matplotlib as mpl\n",
+ "import matplotlib.pyplot as plt\n",
+ "\n",
+ "import matplotlib.cm as cm\n",
+ "from matplotlib.colors import Normalize\n",
+ "from matplotlib.collections import PatchCollection\n",
+ "\n",
+ "from mpl_toolkits.basemap import Basemap\n",
+ "\n",
+ "%matplotlib inline\n",
+ "mpl.rcParams['figure.figsize']= (15, 15) # Reset the base size of figures so they're large enough to be useful.\n",
+ "\n",
+ "import fiona\n",
+ "from shapely.geometry import mapping, shape, Polygon, LineString, Point, MultiPoint, MultiPolygon\n",
+ "from shapely.prepared import prep\n",
+ "from descartes import PolygonPatch\n",
+ "import pyproj\n",
+ "import geopandas as gp\n",
+ "\n",
+ "import pymongo\n",
+ "from bson.objectid import ObjectId\n",
+ "from bson.son import SON\n",
+ "\n",
+ "# client = pymongo.MongoClient('mongodb://ogedei:27017/')\n",
+ "# client = pymongo.MongoClient('mongodb://localhost:27117/')\n",
+ "client = pymongo.MongoClient('mongodb://localhost:27017')"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 46
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "db = client.small_accidents\n",
+ "accidents = db.accidents\n",
+ "labels = db.labels\n",
+ "roads = db.roads"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 2
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "# Load the expanded names of keys and human-readable codes into memory\n",
+ "expanded_name = collections.defaultdict(str)\n",
+ "for e in labels.find({'expanded': {\"$exists\": True}}):\n",
+ " expanded_name[e['label']] = e['expanded']\n",
+ " \n",
+ "label_of = collections.defaultdict(str)\n",
+ "for l in labels.find({'codes': {\"$exists\": True}}):\n",
+ " for c in l['codes']:\n",
+ " try:\n",
+ " label_of[(l['label'], int(c))] = l['codes'][c]\n",
+ " except ValueError: \n",
+ " label_of[(l['label'], c)] = l['codes'][c]"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 3
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "shapefile_dir = '/home/neil/Documents/work/teaching/tm351/data-sets/merid2_essh_gb/data/'\n",
+ "shapefiles = [\n",
+ " {'file': shapefile_dir + 'transformed_admin_ln_polyline', 'name': 'admin'}, \n",
+ " {'file': shapefile_dir + 'transformed_a_road_polyline', 'name': 'a_road', 'color': 'g', 'linewidth': 2},\n",
+ " {'file': shapefile_dir + 'transformed_b_road_polyline', 'name': 'b_road', 'color': 'r', 'linewidth': 1},\n",
+ " {'file': shapefile_dir + 'transformed_coast_ln_polyline', 'name': 'coast'},\n",
+ " {'file': shapefile_dir + 'transformed_county_region', 'name': 'county'},\n",
+ " {'file': shapefile_dir + 'transformed_district_region', 'name': 'district'},\n",
+ " {'file': shapefile_dir + 'transformed_dlua_region', 'name': 'dlua_region'},\n",
+ " {'file': shapefile_dir + 'transformed_junction_font_point', 'name': 'junction'},\n",
+ " {'file': shapefile_dir + 'transformed_lake_region', 'name': 'lake'},\n",
+ " {'file': shapefile_dir + 'transformed_minor_rd_polyline', 'name': 'minor_road', 'color': 'k', 'linewidth': 0.5},\n",
+ " {'file': shapefile_dir + 'transformed_motorway_polyline', 'name': 'motorway', 'color': 'b', 'linewidth': 3},\n",
+ " {'file': shapefile_dir + 'transformed_rail_ln_polyline', 'name': 'rail'},\n",
+ " {'file': shapefile_dir + 'transformed_river_polyline', 'name': 'river'},\n",
+ " {'file': shapefile_dir + 'transformed_rndabout_point', 'name': 'roundabout'},\n",
+ " {'file': shapefile_dir + 'transformed_roadnode_point', 'name': 'roadnode'},\n",
+ " {'file': shapefile_dir + 'transformed_settlemt_point', 'name': 'settlement'},\n",
+ " {'file': shapefile_dir + 'transformed_station_point', 'name': 'station'},\n",
+ " {'file': shapefile_dir + 'transformed_text', 'name': 'text'},\n",
+ " {'file': shapefile_dir + 'transformed_woodland_region', 'name': 'woodland'}\n",
+ "]\n",
+ "wgs84 = pyproj.Proj(\"+init=EPSG:4326\") # WGS 36"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 4
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "# A function that creates a map, cropped to fit the points specified.\n",
+ "def crop_basemap(lats, lons, bluemarble=False, shapes=None):\n",
+ " left_point = min(lons)\n",
+ " right_point = max(lons)\n",
+ " top_point = max(lats)\n",
+ " bottom_point = min(lats)\n",
+ " lr_margin = (right_point - left_point) * 0.05\n",
+ " tb_margin = (top_point - bottom_point) * 0.05\n",
+ " left_limit = left_point - lr_margin\n",
+ " right_limit = right_point + lr_margin\n",
+ " top_limit = top_point + tb_margin\n",
+ " bottom_limit = bottom_point - tb_margin\n",
+ " centre_lon = (left_point + right_point) / 2\n",
+ " centre_lat = (top_point + bottom_point) / 2\n",
+ " \n",
+ " m = Basemap(projection='merc', lat_0=centre_lat, lon_0=centre_lon,\n",
+ " resolution = 'h', area_thresh = 10,\n",
+ " llcrnrlon=left_limit, llcrnrlat=bottom_limit,\n",
+ " urcrnrlon=right_limit, urcrnrlat=top_limit)\n",
+ " \n",
+ " m.drawcoastlines()\n",
+ " m.drawcountries()\n",
+ " if bluemarble:\n",
+ " m.bluemarble()\n",
+ " else:\n",
+ " m.fillcontinents(color='grey')\n",
+ " m.drawmapboundary()\n",
+ " \n",
+ " if shapes:\n",
+ " for s in shapes:\n",
+ " shapefile_spec = [sh for sh in shapefiles if sh['name'] == s][0]\n",
+ " if 'color' in shapefile_spec:\n",
+ " color = shapefile_spec['color']\n",
+ " else:\n",
+ " color = 'k'\n",
+ " if 'linewidth' in shapefile_spec:\n",
+ " linewidth = shapefile_spec['linewidth']\n",
+ " else:\n",
+ " linewidth = 1\n",
+ " m.readshapefile(shapefile_spec['file'], s, color=color, linewidth=linewidth)\n",
+ "# if s == 'text':\n",
+ "# print('left=', left_limit, 'right=', right_limit, 'top=', top_limit, 'bottom=', bottom_limit)\n",
+ "# for t in [p for p in zip(map.text, map.text_info) \n",
+ "# if p[1]['CODE'] == 6551 and \n",
+ "# p[0][0] > left_limit and p[0][0] < right_limit and \n",
+ "# p[0][1] > bottom_limit and p[0][1] < top_limit\n",
+ "# ][::50]:\n",
+ "# plt.text(t[0][0], t[0][1], t[1]['TEXTSTRING'], size=t[1]['TEXT_SIZE'] - 8, rotation=t[1]['TEXT_ANGLE'])\n",
+ " \n",
+ " return m"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 5
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "# Convenience functions for working with colour ramps and bars\n",
+ "def colorbar_index(ncolors, cmap, labels=None, **kwargs):\n",
+ " \"\"\"\n",
+ " This is a convenience function to stop you making off-by-one errors\n",
+ " Takes a standard colour ramp, and discretizes it,\n",
+ " then draws a colour bar with correctly aligned labels\n",
+ " \"\"\"\n",
+ " cmap = cmap_discretize(cmap, ncolors)\n",
+ " mappable = cm.ScalarMappable(cmap=cmap)\n",
+ " mappable.set_array([])\n",
+ " mappable.set_clim(-0.5, ncolors+0.5)\n",
+ " colorbar = plt.colorbar(mappable, **kwargs)\n",
+ " colorbar.set_ticks(np.linspace(0, ncolors, ncolors))\n",
+ " colorbar.set_ticklabels(range(ncolors))\n",
+ " if labels:\n",
+ " colorbar.set_ticklabels(labels)\n",
+ " return colorbar\n",
+ "\n",
+ "def cmap_discretize(cmap, N):\n",
+ " \"\"\"\n",
+ " Return a discrete colormap from the continuous colormap cmap.\n",
+ "\n",
+ " cmap: colormap instance, eg. cm.jet. \n",
+ " N: number of colors.\n",
+ "\n",
+ " Example\n",
+ " x = resize(arange(100), (5,100))\n",
+ " djet = cmap_discretize(cm.jet, 5)\n",
+ " imshow(x, cmap=djet)\n",
+ "\n",
+ " \"\"\"\n",
+ " if type(cmap) == str:\n",
+ " cmap = get_cmap(cmap)\n",
+ " colors_i = np.concatenate((np.linspace(0, 1., N), (0., 0., 0., 0.)))\n",
+ " colors_rgba = cmap(colors_i)\n",
+ " indices = np.linspace(0, 1., N + 1)\n",
+ " cdict = {}\n",
+ " for ki, key in enumerate(('red', 'green', 'blue')):\n",
+ " cdict[key] = [(indices[i], colors_rgba[i - 1, ki], colors_rgba[i, ki]) for i in range(N + 1)]\n",
+ " return mpl.colors.LinearSegmentedColormap(cmap.name + \"_%d\" % N, cdict, 1024)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 124
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "accident_df = pd.DataFrame(list(accidents.find()))\n",
+ "accident_df"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "html": [
+ "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
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+ " <thead>\n",
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+ " <th></th>\n",
+ " <th>1st_Road_Class</th>\n",
+ " <th>1st_Road_Number</th>\n",
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+ " <th>Accident_Severity</th>\n",
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+ " <th>Casualties</th>\n",
+ " <th>Date</th>\n",
+ " <th>Datetime</th>\n",
+ " <th>...</th>\n",
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+ " <th>Speed_limit</th>\n",
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+ " <th>_id</th>\n",
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+ " <tr>\n",
+ " <th>9 </th>\n",
+ " <td> 5</td>\n",
+ " <td> 0</td>\n",
+ " <td> 6</td>\n",
+ " <td> 0</td>\n",
+ " <td> 201201BS70011</td>\n",
+ " <td> 3</td>\n",
+ " <td> 0</td>\n",
+ " <td> [{'Casualty_Home_Area_Type': -1, 'Car_Passenge...</td>\n",
+ " <td> 04/01/2012</td>\n",
+ " <td>2012-01-04 19:40:00</td>\n",
+ " <td>...</td>\n",
+ " <td> 2</td>\n",
+ " <td> 6</td>\n",
+ " <td> 0</td>\n",
+ " <td> 30</td>\n",
+ " <td> 19:40</td>\n",
+ " <td> 1</td>\n",
+ " <td> [{'Vehicle_Type': 3, 'Engine_Capacity_(CC)': 1...</td>\n",
+ " <td> 2</td>\n",
+ " <td> 52a9c97c92c4e16686d1326e</td>\n",
+ " <td> {'type': 'Point', 'coordinates': [-0.198587, 5...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>10 </th>\n",
+ " <td> 3</td>\n",
+ " <td> 315</td>\n",
+ " <td> 6</td>\n",
+ " <td> 0</td>\n",
+ " <td> 201201BS70012</td>\n",
+ " <td> 3</td>\n",
+ " <td> 0</td>\n",
+ " <td> [{'Casualty_Home_Area_Type': -1, 'Car_Passenge...</td>\n",
+ " <td> 08/01/2012</td>\n",
+ " <td>2012-01-08 17:15:00</td>\n",
+ " <td>...</td>\n",
+ " <td> 1</td>\n",
+ " <td> 6</td>\n",
+ " <td> 0</td>\n",
+ " <td> 30</td>\n",
+ " <td> 17:15</td>\n",
+ " <td> 1</td>\n",
+ " <td> [{'Vehicle_Type': 5, 'Engine_Capacity_(CC)': 7...</td>\n",
+ " <td> 1</td>\n",
+ " <td> 52a9c97c92c4e16686d1326f</td>\n",
+ " <td> {'type': 'Point', 'coordinates': [-0.190082, 5...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>11 </th>\n",
+ " <td> 3</td>\n",
+ " <td> 315</td>\n",
+ " <td> 3</td>\n",
+ " <td> 3220</td>\n",
+ " <td> 201201BS70013</td>\n",
+ " <td> 3</td>\n",
+ " <td> 0</td>\n",
+ " <td> [{'Casualty_Home_Area_Type': 1, 'Car_Passenger...</td>\n",
+ " <td> 01/01/2012</td>\n",
+ " <td>2012-01-01 05:05:00</td>\n",
+ " <td>...</td>\n",
+ " <td> 2</td>\n",
+ " <td> 6</td>\n",
+ " <td> 0</td>\n",
+ " <td> 30</td>\n",
+ " <td> 05:05</td>\n",
+ " <td> 1</td>\n",
+ " <td> [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': 1...</td>\n",
+ " <td> 1</td>\n",
+ " <td> 52a9c97c92c4e16686d13270</td>\n",
+ " <td> {'type': 'Point', 'coordinates': [-0.204686, 5...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>12 </th>\n",
+ " <td> 3</td>\n",
+ " <td> 402</td>\n",
+ " <td> 3</td>\n",
+ " <td> 4206</td>\n",
+ " <td> 201201BS70014</td>\n",
+ " <td> 3</td>\n",
+ " <td> 0</td>\n",
+ " <td> [{'Casualty_Home_Area_Type': 1, 'Car_Passenger...</td>\n",
+ " <td> 04/01/2012</td>\n",
+ " <td>2012-01-04 08:25:00</td>\n",
+ " <td>...</td>\n",
+ " <td> 1</td>\n",
+ " <td> 3</td>\n",
+ " <td> 0</td>\n",
+ " <td> 30</td>\n",
+ " <td> 08:25</td>\n",
+ " <td> 1</td>\n",
+ " <td> [{'Vehicle_Type': 11, 'Engine_Capacity_(CC)': ...</td>\n",
+ " <td> 1</td>\n",
+ " <td> 52a9c97c92c4e16686d13271</td>\n",
+ " <td> {'type': 'Point', 'coordinates': [-0.197303, 5...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>13 </th>\n",
+ " <td> 4</td>\n",
+ " <td> 415</td>\n",
+ " <td> 4</td>\n",
+ " <td> 450</td>\n",
+ " <td> 201201BS70015</td>\n",
+ " <td> 3</td>\n",
+ " <td> 0</td>\n",
+ " <td> [{'Casualty_Home_Area_Type': 1, 'Car_Passenger...</td>\n",
+ " <td> 03/01/2012</td>\n",
+ " <td>2012-01-03 17:36:00</td>\n",
+ " <td>...</td>\n",
+ " <td> 2</td>\n",
+ " <td> 6</td>\n",
+ " <td> 0</td>\n",
+ " <td> 30</td>\n",
+ " <td> 17:36</td>\n",
+ " <td> 1</td>\n",
+ " <td> [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': -...</td>\n",
+ " <td> 8</td>\n",
+ " <td> 52a9c97c92c4e16686d13272</td>\n",
+ " <td> {'type': 'Point', 'coordinates': [-0.20776, 51...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>14 </th>\n",
+ " <td> 4</td>\n",
+ " <td> 450</td>\n",
+ " <td> 4</td>\n",
+ " <td> 412</td>\n",
+ " <td> 201201BS70016</td>\n",
+ " <td> 3</td>\n",
+ " <td> 0</td>\n",
+ " <td> [{'Casualty_Home_Area_Type': 1, 'Car_Passenger...</td>\n",
+ " <td> 11/01/2012</td>\n",
+ " <td>2012-01-11 18:11:00</td>\n",
+ " <td>...</td>\n",
+ " <td> 1</td>\n",
+ " <td> 6</td>\n",
+ " <td> 0</td>\n",
+ " <td> 30</td>\n",
+ " <td> 18:11</td>\n",
+ " <td> 1</td>\n",
+ " <td> [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': 1...</td>\n",
+ " <td> 1</td>\n",
+ " <td> 52a9c97c92c4e16686d13273</td>\n",
+ " <td> {'type': 'Point', 'coordinates': [-0.20927, 51...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>15 </th>\n",
+ " <td> 3</td>\n",
+ " <td> 3217</td>\n",
+ " <td> 6</td>\n",
+ " <td> 0</td>\n",
+ " <td> 201201BS70017</td>\n",
+ " <td> 3</td>\n",
+ " <td> 0</td>\n",
+ " <td> [{'Casualty_Home_Area_Type': 1, 'Car_Passenger...</td>\n",
+ " <td> 12/01/2012</td>\n",
+ " <td>2012-01-12 09:10:00</td>\n",
+ " <td>...</td>\n",
+ " <td> 1</td>\n",
+ " <td> 6</td>\n",
+ " <td> 0</td>\n",
+ " <td> 30</td>\n",
+ " <td> 09:10</td>\n",
+ " <td> 1</td>\n",
+ " <td> [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': 4...</td>\n",
+ " <td> 1</td>\n",
+ " <td> 52a9c97c92c4e16686d13274</td>\n",
+ " <td> {'type': 'Point', 'coordinates': [-0.18022, 51...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>16 </th>\n",
+ " <td> 6</td>\n",
+ " <td> 0</td>\n",
+ " <td> 6</td>\n",
+ " <td> 0</td>\n",
+ " <td> 201201BS70018</td>\n",
+ " <td> 3</td>\n",
+ " <td> 0</td>\n",
+ " <td> [{'Casualty_Home_Area_Type': -1, 'Car_Passenge...</td>\n",
+ " <td> 04/01/2012</td>\n",
+ " <td>2012-01-04 20:40:00</td>\n",
+ " <td>...</td>\n",
+ " <td> 2</td>\n",
+ " <td> 6</td>\n",
+ " <td> 0</td>\n",
+ " <td> 30</td>\n",
+ " <td> 20:40</td>\n",
+ " <td> 1</td>\n",
+ " <td> [{'Vehicle_Type': 5, 'Engine_Capacity_(CC)': 9...</td>\n",
+ " <td> 2</td>\n",
+ " <td> 52a9c97c92c4e16686d13275</td>\n",
+ " <td> {'type': 'Point', 'coordinates': [-0.212046, 5...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>17 </th>\n",
+ " <td> 3</td>\n",
+ " <td> 3220</td>\n",
+ " <td> 3</td>\n",
+ " <td> 3220</td>\n",
+ " <td> 201201BS70019</td>\n",
+ " <td> 3</td>\n",
+ " <td> 0</td>\n",
+ " <td> [{'Casualty_Home_Area_Type': 1, 'Car_Passenger...</td>\n",
+ " <td> 07/01/2012</td>\n",
+ " <td>2012-01-07 23:00:00</td>\n",
+ " <td>...</td>\n",
+ " <td> 1</td>\n",
+ " <td> 6</td>\n",
+ " <td> 0</td>\n",
+ " <td> 30</td>\n",
+ " <td> 23:00</td>\n",
+ " <td> 1</td>\n",
+ " <td> [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': -...</td>\n",
+ " <td> 1</td>\n",
+ " <td> 52a9c97c92c4e16686d13276</td>\n",
+ " <td> {'type': 'Point', 'coordinates': [-0.173448, 5...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>18 </th>\n",
+ " <td> 4</td>\n",
+ " <td> 316</td>\n",
+ " <td>-1</td>\n",
+ " <td> 0</td>\n",
+ " <td> 201201BS70020</td>\n",
+ " <td> 3</td>\n",
+ " <td> 0</td>\n",
+ " <td> [{'Casualty_Home_Area_Type': 1, 'Car_Passenger...</td>\n",
+ " <td> 06/01/2012</td>\n",
+ " <td>2012-01-06 17:20:00</td>\n",
+ " <td>...</td>\n",
+ " <td> 1</td>\n",
+ " <td> 2</td>\n",
+ " <td> 0</td>\n",
+ " <td> 30</td>\n",
+ " <td> 17:20</td>\n",
+ " <td> 1</td>\n",
+ " <td> [{'Vehicle_Type': 11, 'Engine_Capacity_(CC)': ...</td>\n",
+ " <td> 1</td>\n",
+ " <td> 52a9c97c92c4e16686d13277</td>\n",
+ " <td> {'type': 'Point', 'coordinates': [-0.196947, 5...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>19 </th>\n",
+ " <td> 3</td>\n",
+ " <td> 4204</td>\n",
+ " <td> 6</td>\n",
+ " <td> 0</td>\n",
+ " <td> 201201BS70021</td>\n",
+ " <td> 3</td>\n",
+ " <td> 0</td>\n",
+ " <td> [{'Casualty_Home_Area_Type': 1, 'Car_Passenger...</td>\n",
+ " <td> 12/01/2012</td>\n",
+ " <td>2012-01-12 19:25:00</td>\n",
+ " <td>...</td>\n",
+ " <td> 1</td>\n",
+ " <td> 6</td>\n",
+ " <td> 0</td>\n",
+ " <td> 30</td>\n",
+ " <td> 19:25</td>\n",
+ " <td> 1</td>\n",
+ " <td> [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': 2...</td>\n",
+ " <td> 1</td>\n",
+ " <td> 52a9c97c92c4e16686d13278</td>\n",
+ " <td> {'type': 'Point', 'coordinates': [-0.194916, 5...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>20 </th>\n",
+ " <td> 3</td>\n",
+ " <td> 4206</td>\n",
+ " <td> 6</td>\n",
+ " <td> 0</td>\n",
+ " <td> 201201BS70022</td>\n",
+ " <td> 3</td>\n",
+ " <td> 0</td>\n",
+ " <td> [{'Casualty_Home_Area_Type': 1, 'Car_Passenger...</td>\n",
+ " <td> 12/01/2012</td>\n",
+ " <td>2012-01-12 16:02:00</td>\n",
+ " <td>...</td>\n",
+ " <td> 1</td>\n",
+ " <td> 6</td>\n",
+ " <td> 0</td>\n",
+ " <td> 30</td>\n",
+ " <td> 16:02</td>\n",
+ " <td> 1</td>\n",
+ " <td> [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': 1...</td>\n",
+ " <td> 1</td>\n",
+ " <td> 52a9c97c92c4e16686d13279</td>\n",
+ " <td> {'type': 'Point', 'coordinates': [-0.197777, 5...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>21 </th>\n",
+ " <td> 3</td>\n",
+ " <td> 4</td>\n",
+ " <td> 3</td>\n",
+ " <td> 3220</td>\n",
+ " <td> 201201BS70023</td>\n",
+ " <td> 2</td>\n",
+ " <td> 0</td>\n",
+ " <td> [{'Casualty_Home_Area_Type': 1, 'Car_Passenger...</td>\n",
+ " <td> 13/01/2012</td>\n",
+ " <td>2012-01-13 18:20:00</td>\n",
+ " <td>...</td>\n",
+ " <td> 1</td>\n",
+ " <td> 3</td>\n",
+ " <td> 0</td>\n",
+ " <td> 30</td>\n",
+ " <td> 18:20</td>\n",
+ " <td> 1</td>\n",
+ " <td> [{'Vehicle_Type': 3, 'Engine_Capacity_(CC)': 1...</td>\n",
+ " <td> 1</td>\n",
+ " <td> 52a9c97c92c4e16686d1327a</td>\n",
+ " <td> {'type': 'Point', 'coordinates': [-0.200249, 5...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>22 </th>\n",
+ " <td> 3</td>\n",
+ " <td> 3217</td>\n",
+ " <td> 6</td>\n",
+ " <td> 0</td>\n",
+ " <td> 201201BS70024</td>\n",
+ " <td> 3</td>\n",
+ " <td> 0</td>\n",
+ " <td> [{'Casualty_Home_Area_Type': 1, 'Car_Passenger...</td>\n",
+ " <td> 09/01/2012</td>\n",
+ " <td>2012-01-09 08:37:00</td>\n",
+ " <td>...</td>\n",
+ " <td> 1</td>\n",
+ " <td> 6</td>\n",
+ " <td> 0</td>\n",
+ " <td> 30</td>\n",
+ " <td> 08:37</td>\n",
+ " <td> 1</td>\n",
+ " <td> [{'Vehicle_Type': 5, 'Engine_Capacity_(CC)': 8...</td>\n",
+ " <td> 1</td>\n",
+ " <td> 52a9c97c92c4e16686d1327b</td>\n",
+ " <td> {'type': 'Point', 'coordinates': [-0.16055, 51...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>23 </th>\n",
+ " <td> 5</td>\n",
+ " <td> 0</td>\n",
+ " <td> 6</td>\n",
+ " <td> 0</td>\n",
+ " <td> 201201BS70025</td>\n",
+ " <td> 3</td>\n",
+ " <td> 0</td>\n",
+ " <td> [{'Casualty_Home_Area_Type': 1, 'Car_Passenger...</td>\n",
+ " <td> 16/01/2012</td>\n",
+ " <td>2012-01-16 19:03:00</td>\n",
+ " <td>...</td>\n",
+ " <td> 1</td>\n",
+ " <td> 6</td>\n",
+ " <td> 4</td>\n",
+ " <td> 30</td>\n",
+ " <td> 19:03</td>\n",
+ " <td> 1</td>\n",
+ " <td> [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': 1...</td>\n",
+ " <td> 1</td>\n",
+ " <td> 52a9c97c92c4e16686d1327c</td>\n",
+ " <td> {'type': 'Point', 'coordinates': [-0.180416, 5...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>24 </th>\n",
+ " <td> 4</td>\n",
+ " <td> 304</td>\n",
+ " <td>-1</td>\n",
+ " <td> 0</td>\n",
+ " <td> 201201BS70026</td>\n",
+ " <td> 3</td>\n",
+ " <td> 0</td>\n",
+ " <td> [{'Casualty_Home_Area_Type': 1, 'Car_Passenger...</td>\n",
+ " <td> 17/01/2012</td>\n",
+ " <td>2012-01-17 09:01:00</td>\n",
+ " <td>...</td>\n",
+ " <td> 1</td>\n",
+ " <td> 6</td>\n",
+ " <td> 0</td>\n",
+ " <td> 30</td>\n",
+ " <td> 09:01</td>\n",
+ " <td> 1</td>\n",
+ " <td> [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': 9...</td>\n",
+ " <td> 1</td>\n",
+ " <td> 52a9c97c92c4e16686d1327d</td>\n",
+ " <td> {'type': 'Point', 'coordinates': [-0.169814, 5...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>25 </th>\n",
+ " <td> 3</td>\n",
+ " <td> 315</td>\n",
+ " <td> 6</td>\n",
+ " <td> 0</td>\n",
+ " <td> 201201BS70027</td>\n",
+ " <td> 2</td>\n",
+ " <td> 0</td>\n",
+ " <td> [{'Casualty_Home_Area_Type': 1, 'Car_Passenger...</td>\n",
+ " <td> 06/01/2012</td>\n",
+ " <td>2012-01-06 12:20:00</td>\n",
+ " <td>...</td>\n",
+ " <td> 1</td>\n",
+ " <td> 6</td>\n",
+ " <td> 0</td>\n",
+ " <td> 30</td>\n",
+ " <td> 12:20</td>\n",
+ " <td> 1</td>\n",
+ " <td> [{'Vehicle_Type': 3, 'Engine_Capacity_(CC)': 1...</td>\n",
+ " <td> 1</td>\n",
+ " <td> 52a9c97c92c4e16686d1327e</td>\n",
+ " <td> {'type': 'Point', 'coordinates': [-0.188775, 5...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>26 </th>\n",
+ " <td> 6</td>\n",
+ " <td> 0</td>\n",
+ " <td>-1</td>\n",
+ " <td> 0</td>\n",
+ " <td> 201201BS70028</td>\n",
+ " <td> 2</td>\n",
+ " <td> 2</td>\n",
+ " <td> [{'Casualty_Home_Area_Type': 1, 'Car_Passenger...</td>\n",
+ " <td> 13/01/2012</td>\n",
+ " <td>2012-01-13 12:30:00</td>\n",
+ " <td>...</td>\n",
+ " <td> 1</td>\n",
+ " <td> 6</td>\n",
+ " <td> 0</td>\n",
+ " <td> 30</td>\n",
+ " <td> 12:30</td>\n",
+ " <td> 1</td>\n",
+ " <td> [{'Vehicle_Type': 1, 'Engine_Capacity_(CC)': -...</td>\n",
+ " <td> 1</td>\n",
+ " <td> 52a9c97c92c4e16686d1327f</td>\n",
+ " <td> {'type': 'Point', 'coordinates': [-0.185916, 5...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>27 </th>\n",
+ " <td> 3</td>\n",
+ " <td> 40</td>\n",
+ " <td> 3</td>\n",
+ " <td> 40</td>\n",
+ " <td> 201201BS70029</td>\n",
+ " <td> 3</td>\n",
+ " <td> 0</td>\n",
+ " <td> [{'Casualty_Home_Area_Type': 1, 'Car_Passenger...</td>\n",
+ " <td> 14/01/2012</td>\n",
+ " <td>2012-01-14 01:35:00</td>\n",
+ " <td>...</td>\n",
+ " <td> 4</td>\n",
+ " <td> 3</td>\n",
+ " <td> 0</td>\n",
+ " <td> 30</td>\n",
+ " <td> 01:35</td>\n",
+ " <td> 1</td>\n",
+ " <td> [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': 9...</td>\n",
+ " <td> 1</td>\n",
+ " <td> 52a9c97c92c4e16686d13280</td>\n",
+ " <td> {'type': 'Point', 'coordinates': [-0.216922, 5...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>28 </th>\n",
+ " <td> 3</td>\n",
+ " <td> 40</td>\n",
+ " <td>-1</td>\n",
+ " <td> 0</td>\n",
+ " <td> 201201BS70031</td>\n",
+ " <td> 3</td>\n",
+ " <td> 0</td>\n",
+ " <td> [{'Casualty_Home_Area_Type': 3, 'Car_Passenger...</td>\n",
+ " <td> 15/01/2012</td>\n",
+ " <td>2012-01-15 18:50:00</td>\n",
+ " <td>...</td>\n",
+ " <td> 1</td>\n",
+ " <td> 3</td>\n",
+ " <td> 0</td>\n",
+ " <td> 30</td>\n",
+ " <td> 18:50</td>\n",
+ " <td> 1</td>\n",
+ " <td> [{'Vehicle_Type': 21, 'Engine_Capacity_(CC)': ...</td>\n",
+ " <td> 1</td>\n",
+ " <td> 52a9c97c92c4e16686d13281</td>\n",
+ " <td> {'type': 'Point', 'coordinates': [-0.216919, 5...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>29 </th>\n",
+ " <td> 3</td>\n",
+ " <td> 315</td>\n",
+ " <td> 6</td>\n",
+ " <td> 0</td>\n",
+ " <td> 201201BS70032</td>\n",
+ " <td> 3</td>\n",
+ " <td> 0</td>\n",
+ " <td> [{'Casualty_Home_Area_Type': 1, 'Car_Passenger...</td>\n",
+ " <td> 24/01/2012</td>\n",
+ " <td>2012-01-24 09:25:00</td>\n",
+ " <td>...</td>\n",
+ " <td> 1</td>\n",
+ " <td> 6</td>\n",
+ " <td> 0</td>\n",
+ " <td> 30</td>\n",
+ " <td> 09:25</td>\n",
+ " <td> 1</td>\n",
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+ "\n",
+ " Accident_Index Accident_Severity Carriageway_Hazards \\\n",
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+ "\n",
+ " Casualties Date \\\n",
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+ "8 [{'Casualty_Home_Area_Type': 1, 'Car_Passenger... 07/01/2012 \n",
+ "9 [{'Casualty_Home_Area_Type': -1, 'Car_Passenge... 04/01/2012 \n",
+ "10 [{'Casualty_Home_Area_Type': -1, 'Car_Passenge... 08/01/2012 \n",
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+ "17 [{'Casualty_Home_Area_Type': 1, 'Car_Passenger... 07/01/2012 \n",
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+ "19 [{'Casualty_Home_Area_Type': 1, 'Car_Passenger... 12/01/2012 \n",
+ "20 [{'Casualty_Home_Area_Type': 1, 'Car_Passenger... 12/01/2012 \n",
+ "21 [{'Casualty_Home_Area_Type': 1, 'Car_Passenger... 13/01/2012 \n",
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+ "145554 [{'Casualty_Home_Area_Type': 3, 'Car_Passenger... 27/10/2012 \n",
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+ "145556 [{'Casualty_Home_Area_Type': 2, 'Car_Passenger... 11/11/2012 \n",
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+ "145561 [{'Casualty_Home_Area_Type': 3, 'Car_Passenger... 28/11/2012 \n",
+ "145562 [{'Casualty_Home_Area_Type': 3, 'Car_Passenger... 29/11/2012 \n",
+ "145563 [{'Casualty_Home_Area_Type': 3, 'Car_Passenger... 04/12/2012 \n",
+ "145564 [{'Casualty_Home_Area_Type': 3, 'Car_Passenger... 03/12/2012 \n",
+ "145565 [{'Casualty_Home_Area_Type': 3, 'Car_Passenger... 30/11/2012 \n",
+ "145566 [{'Casualty_Home_Area_Type': 1, 'Car_Passenger... 06/12/2012 \n",
+ "145567 [{'Casualty_Home_Area_Type': 3, 'Car_Passenger... 20/12/2012 \n",
+ "145568 [{'Casualty_Home_Area_Type': 3, 'Car_Passenger... 22/12/2012 \n",
+ "145569 [{'Casualty_Home_Area_Type': 2, 'Car_Passenger... 25/12/2012 \n",
+ "145570 [{'Casualty_Home_Area_Type': 3, 'Car_Passenger... 27/12/2012 \n",
+ "\n",
+ " Datetime ... Road_Surface_Conditions \\\n",
+ "0 2012-01-19 20:35:00 ... 1 \n",
+ "1 2012-01-18 12:20:00 ... 1 \n",
+ "2 2012-01-04 17:00:00 ... 1 \n",
+ "3 2012-01-10 10:07:00 ... 1 \n",
+ "4 2012-01-17 20:24:00 ... 1 \n",
+ "5 2012-01-19 07:30:00 ... 2 \n",
+ "6 2012-01-12 14:00:00 ... 1 \n",
+ "7 2012-01-07 11:29:00 ... 1 \n",
+ "8 2012-01-07 13:55:00 ... 1 \n",
+ "9 2012-01-04 19:40:00 ... 2 \n",
+ "10 2012-01-08 17:15:00 ... 1 \n",
+ "11 2012-01-01 05:05:00 ... 2 \n",
+ "12 2012-01-04 08:25:00 ... 1 \n",
+ "13 2012-01-03 17:36:00 ... 2 \n",
+ "14 2012-01-11 18:11:00 ... 1 \n",
+ "15 2012-01-12 09:10:00 ... 1 \n",
+ "16 2012-01-04 20:40:00 ... 2 \n",
+ "17 2012-01-07 23:00:00 ... 1 \n",
+ "18 2012-01-06 17:20:00 ... 1 \n",
+ "19 2012-01-12 19:25:00 ... 1 \n",
+ "20 2012-01-12 16:02:00 ... 1 \n",
+ "21 2012-01-13 18:20:00 ... 1 \n",
+ "22 2012-01-09 08:37:00 ... 1 \n",
+ "23 2012-01-16 19:03:00 ... 1 \n",
+ "24 2012-01-17 09:01:00 ... 1 \n",
+ "25 2012-01-06 12:20:00 ... 1 \n",
+ "26 2012-01-13 12:30:00 ... 1 \n",
+ "27 2012-01-14 01:35:00 ... 4 \n",
+ "28 2012-01-15 18:50:00 ... 1 \n",
+ "29 2012-01-24 09:25:00 ... 1 \n",
+ "... ... ... ... \n",
+ "145541 2012-09-08 21:12:00 ... 1 \n",
+ "145542 2012-09-18 05:22:00 ... 1 \n",
+ "145543 2012-09-08 12:15:00 ... 1 \n",
+ "145544 2012-09-23 13:00:00 ... 1 \n",
+ "145545 2012-09-19 08:41:00 ... 1 \n",
+ "145546 2012-09-16 12:00:00 ... 1 \n",
+ "145547 2012-10-02 13:20:00 ... 2 \n",
+ "145548 2012-10-15 14:58:00 ... 1 \n",
+ "145549 2012-10-15 18:55:00 ... 1 \n",
+ "145550 2012-10-18 09:53:00 ... 2 \n",
+ "145551 2012-10-17 19:59:00 ... 2 \n",
+ "145552 2012-10-21 00:06:00 ... 1 \n",
+ "145553 2012-10-24 17:12:00 ... 1 \n",
+ "145554 2012-10-27 12:29:00 ... 1 \n",
+ "145555 2012-10-24 09:10:00 ... 1 \n",
+ "145556 2012-11-11 16:00:00 ... 1 \n",
+ "145557 2012-11-07 14:04:00 ... 2 \n",
+ "145558 2012-11-19 07:30:00 ... 5 \n",
+ "145559 2012-11-21 06:40:00 ... 2 \n",
+ "145560 2012-11-28 10:00:00 ... 4 \n",
+ "145561 2012-11-28 09:40:00 ... 1 \n",
+ "145562 2012-11-29 08:39:00 ... 4 \n",
+ "145563 2012-12-04 07:36:00 ... 4 \n",
+ "145564 2012-12-03 22:48:00 ... 4 \n",
+ "145565 2012-11-30 22:16:00 ... 4 \n",
+ "145566 2012-12-06 12:45:00 ... 3 \n",
+ "145567 2012-12-20 20:00:00 ... 5 \n",
+ "145568 2012-12-22 13:01:00 ... 2 \n",
+ "145569 2012-12-25 11:33:00 ... 2 \n",
+ "145570 2012-12-27 16:30:00 ... 2 \n",
+ "\n",
+ " Road_Type Special_Conditions_at_Site Speed_limit Time \\\n",
+ "0 6 0 30 20:35 \n",
+ "1 6 0 30 12:20 \n",
+ "2 6 0 30 17:00 \n",
+ "3 2 0 30 10:07 \n",
+ "4 6 0 30 20:24 \n",
+ "5 6 0 30 07:30 \n",
+ "6 6 0 30 14:00 \n",
+ "7 1 0 30 11:29 \n",
+ "8 2 0 30 13:55 \n",
+ "9 6 0 30 19:40 \n",
+ "10 6 0 30 17:15 \n",
+ "11 6 0 30 05:05 \n",
+ "12 3 0 30 08:25 \n",
+ "13 6 0 30 17:36 \n",
+ "14 6 0 30 18:11 \n",
+ "15 6 0 30 09:10 \n",
+ "16 6 0 30 20:40 \n",
+ "17 6 0 30 23:00 \n",
+ "18 2 0 30 17:20 \n",
+ "19 6 0 30 19:25 \n",
+ "20 6 0 30 16:02 \n",
+ "21 3 0 30 18:20 \n",
+ "22 6 0 30 08:37 \n",
+ "23 6 4 30 19:03 \n",
+ "24 6 0 30 09:01 \n",
+ "25 6 0 30 12:20 \n",
+ "26 6 0 30 12:30 \n",
+ "27 3 0 30 01:35 \n",
+ "28 3 0 30 18:50 \n",
+ "29 6 0 30 09:25 \n",
+ "... ... ... ... ... \n",
+ "145541 6 0 60 21:12 \n",
+ "145542 6 0 60 05:22 \n",
+ "145543 6 0 30 12:15 \n",
+ "145544 6 0 60 13:00 \n",
+ "145545 6 0 60 08:41 \n",
+ "145546 6 0 30 12:00 \n",
+ "145547 6 0 30 13:20 \n",
+ "145548 7 0 70 14:58 \n",
+ "145549 6 0 60 18:55 \n",
+ "145550 6 0 60 09:53 \n",
+ "145551 6 0 60 19:59 \n",
+ "145552 6 0 60 00:06 \n",
+ "145553 6 0 60 17:12 \n",
+ "145554 6 0 60 12:29 \n",
+ "145555 6 0 60 09:10 \n",
+ "145556 6 0 60 16:00 \n",
+ "145557 6 0 60 14:04 \n",
+ "145558 3 0 70 07:30 \n",
+ "145559 6 0 60 06:40 \n",
+ "145560 6 0 60 10:00 \n",
+ "145561 6 0 30 09:40 \n",
+ "145562 6 0 60 08:39 \n",
+ "145563 6 0 60 07:36 \n",
+ "145564 6 0 60 22:48 \n",
+ "145565 6 0 60 22:16 \n",
+ "145566 3 0 70 12:45 \n",
+ "145567 6 0 60 20:00 \n",
+ "145568 3 0 70 13:01 \n",
+ "145569 6 0 60 11:33 \n",
+ "145570 6 0 30 16:30 \n",
+ "\n",
+ " Urban_or_Rural_Area \\\n",
+ "0 1 \n",
+ "1 1 \n",
+ "2 1 \n",
+ "3 1 \n",
+ "4 1 \n",
+ "5 1 \n",
+ "6 1 \n",
+ "7 1 \n",
+ "8 1 \n",
+ "9 1 \n",
+ "10 1 \n",
+ "11 1 \n",
+ "12 1 \n",
+ "13 1 \n",
+ "14 1 \n",
+ "15 1 \n",
+ "16 1 \n",
+ "17 1 \n",
+ "18 1 \n",
+ "19 1 \n",
+ "20 1 \n",
+ "21 1 \n",
+ "22 1 \n",
+ "23 1 \n",
+ "24 1 \n",
+ "25 1 \n",
+ "26 1 \n",
+ "27 1 \n",
+ "28 1 \n",
+ "29 1 \n",
+ "... ... \n",
+ "145541 2 \n",
+ "145542 2 \n",
+ "145543 2 \n",
+ "145544 2 \n",
+ "145545 2 \n",
+ "145546 2 \n",
+ "145547 2 \n",
+ "145548 2 \n",
+ "145549 2 \n",
+ "145550 2 \n",
+ "145551 2 \n",
+ "145552 2 \n",
+ "145553 2 \n",
+ "145554 2 \n",
+ "145555 2 \n",
+ "145556 2 \n",
+ "145557 2 \n",
+ "145558 2 \n",
+ "145559 2 \n",
+ "145560 2 \n",
+ "145561 2 \n",
+ "145562 2 \n",
+ "145563 2 \n",
+ "145564 2 \n",
+ "145565 2 \n",
+ "145566 2 \n",
+ "145567 2 \n",
+ "145568 2 \n",
+ "145569 2 \n",
+ "145570 2 \n",
+ "\n",
+ " Vehicles Weather_Conditions \\\n",
+ "0 [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': 1... 1 \n",
+ "1 [{'Vehicle_Type': 19, 'Engine_Capacity_(CC)': ... 1 \n",
+ "2 [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': -... 1 \n",
+ "3 [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': 1... 1 \n",
+ "4 [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': 2... 1 \n",
+ "5 [{'Vehicle_Type': 19, 'Engine_Capacity_(CC)': ... 2 \n",
+ "6 [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': 2... 1 \n",
+ "7 [{'Vehicle_Type': 11, 'Engine_Capacity_(CC)': ... 1 \n",
+ "8 [{'Vehicle_Type': 8, 'Engine_Capacity_(CC)': 2... 1 \n",
+ "9 [{'Vehicle_Type': 3, 'Engine_Capacity_(CC)': 1... 2 \n",
+ "10 [{'Vehicle_Type': 5, 'Engine_Capacity_(CC)': 7... 1 \n",
+ "11 [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': 1... 1 \n",
+ "12 [{'Vehicle_Type': 11, 'Engine_Capacity_(CC)': ... 1 \n",
+ "13 [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': -... 8 \n",
+ "14 [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': 1... 1 \n",
+ "15 [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': 4... 1 \n",
+ "16 [{'Vehicle_Type': 5, 'Engine_Capacity_(CC)': 9... 2 \n",
+ "17 [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': -... 1 \n",
+ "18 [{'Vehicle_Type': 11, 'Engine_Capacity_(CC)': ... 1 \n",
+ "19 [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': 2... 1 \n",
+ "20 [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': 1... 1 \n",
+ "21 [{'Vehicle_Type': 3, 'Engine_Capacity_(CC)': 1... 1 \n",
+ "22 [{'Vehicle_Type': 5, 'Engine_Capacity_(CC)': 8... 1 \n",
+ "23 [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': 1... 1 \n",
+ "24 [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': 9... 1 \n",
+ "25 [{'Vehicle_Type': 3, 'Engine_Capacity_(CC)': 1... 1 \n",
+ "26 [{'Vehicle_Type': 1, 'Engine_Capacity_(CC)': -... 1 \n",
+ "27 [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': 9... 1 \n",
+ "28 [{'Vehicle_Type': 21, 'Engine_Capacity_(CC)': ... 1 \n",
+ "29 [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': -... 1 \n",
+ "... ... ... \n",
+ "145541 [{'Vehicle_Type': 17, 'Engine_Capacity_(CC)': ... 1 \n",
+ "145542 [{'Vehicle_Type': 21, 'Engine_Capacity_(CC)': ... 1 \n",
+ "145543 [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': 9... 1 \n",
+ "145544 [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': -... 1 \n",
+ "145545 [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': 1... 1 \n",
+ "145546 [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': 1... 1 \n",
+ "145547 [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': 1... 2 \n",
+ "145548 [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': 2... 1 \n",
+ "145549 [{'Vehicle_Type': 19, 'Engine_Capacity_(CC)': ... 1 \n",
+ "145550 [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': 1... 1 \n",
+ "145551 [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': 1... 5 \n",
+ "145552 [{'Vehicle_Type': 19, 'Engine_Capacity_(CC)': ... 1 \n",
+ "145553 [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': 2... 1 \n",
+ "145554 [{'Vehicle_Type': 5, 'Engine_Capacity_(CC)': 1... 1 \n",
+ "145555 [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': -... 1 \n",
+ "145556 [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': 1... 1 \n",
+ "145557 [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': 9... 1 \n",
+ "145558 [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': 1... 5 \n",
+ "145559 [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': -... 1 \n",
+ "145560 [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': 1... 8 \n",
+ "145561 [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': -... 1 \n",
+ "145562 [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': 1... 1 \n",
+ "145563 [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': 1... 2 \n",
+ "145564 [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': -... 8 \n",
+ "145565 [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': 1... 3 \n",
+ "145566 [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': 1... 2 \n",
+ "145567 [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': 1... 2 \n",
+ "145568 [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': 1... 5 \n",
+ "145569 [{'Vehicle_Type': 9, 'Engine_Capacity_(CC)': -... 1 \n",
+ "145570 [{'Vehicle_Type': 11, 'Engine_Capacity_(CC)': ... 1 \n",
+ "\n",
+ " _id \\\n",
+ "0 52a9c97c92c4e16686d13265 \n",
+ "1 52a9c97c92c4e16686d13268 \n",
+ "2 52a9c97c92c4e16686d13266 \n",
+ "3 52a9c97c92c4e16686d13267 \n",
+ "4 52a9c97c92c4e16686d13269 \n",
+ "5 52a9c97c92c4e16686d1326a \n",
+ "6 52a9c97c92c4e16686d1326b \n",
+ "7 52a9c97c92c4e16686d1326c \n",
+ "8 52a9c97c92c4e16686d1326d \n",
+ "9 52a9c97c92c4e16686d1326e \n",
+ "10 52a9c97c92c4e16686d1326f \n",
+ "11 52a9c97c92c4e16686d13270 \n",
+ "12 52a9c97c92c4e16686d13271 \n",
+ "13 52a9c97c92c4e16686d13272 \n",
+ "14 52a9c97c92c4e16686d13273 \n",
+ "15 52a9c97c92c4e16686d13274 \n",
+ "16 52a9c97c92c4e16686d13275 \n",
+ "17 52a9c97c92c4e16686d13276 \n",
+ "18 52a9c97c92c4e16686d13277 \n",
+ "19 52a9c97c92c4e16686d13278 \n",
+ "20 52a9c97c92c4e16686d13279 \n",
+ "21 52a9c97c92c4e16686d1327a \n",
+ "22 52a9c97c92c4e16686d1327b \n",
+ "23 52a9c97c92c4e16686d1327c \n",
+ "24 52a9c97c92c4e16686d1327d \n",
+ "25 52a9c97c92c4e16686d1327e \n",
+ "26 52a9c97c92c4e16686d1327f \n",
+ "27 52a9c97c92c4e16686d13280 \n",
+ "28 52a9c97c92c4e16686d13281 \n",
+ "29 52a9c97c92c4e16686d13282 \n",
+ "... ... \n",
+ "145541 52a9c98492c4e16686d36aea \n",
+ "145542 52a9c98492c4e16686d36aeb \n",
+ "145543 52a9c98492c4e16686d36aec \n",
+ "145544 52a9c98492c4e16686d36aed \n",
+ "145545 52a9c98492c4e16686d36aee \n",
+ "145546 52a9c98492c4e16686d36aef \n",
+ "145547 52a9c98492c4e16686d36af0 \n",
+ "145548 52a9c98492c4e16686d36af1 \n",
+ "145549 52a9c98492c4e16686d36af2 \n",
+ "145550 52a9c98492c4e16686d36af3 \n",
+ "145551 52a9c98492c4e16686d36af4 \n",
+ "145552 52a9c98492c4e16686d36af5 \n",
+ "145553 52a9c98492c4e16686d36af6 \n",
+ "145554 52a9c98492c4e16686d36af7 \n",
+ "145555 52a9c98492c4e16686d36af8 \n",
+ "145556 52a9c98492c4e16686d36af9 \n",
+ "145557 52a9c98492c4e16686d36afa \n",
+ "145558 52a9c98492c4e16686d36afb \n",
+ "145559 52a9c98492c4e16686d36afc \n",
+ "145560 52a9c98492c4e16686d36afd \n",
+ "145561 52a9c98492c4e16686d36afe \n",
+ "145562 52a9c98492c4e16686d36aff \n",
+ "145563 52a9c98492c4e16686d36b00 \n",
+ "145564 52a9c98492c4e16686d36b01 \n",
+ "145565 52a9c98492c4e16686d36b02 \n",
+ "145566 52a9c98492c4e16686d36b03 \n",
+ "145567 52a9c98492c4e16686d36b04 \n",
+ "145568 52a9c98492c4e16686d36b05 \n",
+ "145569 52a9c98492c4e16686d36b06 \n",
+ "145570 52a9c98492c4e16686d36b07 \n",
+ "\n",
+ " loc \n",
+ "0 {'type': 'Point', 'coordinates': [-0.169101, 5... \n",
+ "1 {'type': 'Point', 'coordinates': [-0.200259, 5... \n",
+ "2 {'type': 'Point', 'coordinates': [-0.200838, 5... \n",
+ "3 {'type': 'Point', 'coordinates': [-0.188636, 5... \n",
+ "4 {'type': 'Point', 'coordinates': [-0.183773, 5... \n",
+ "5 {'type': 'Point', 'coordinates': [-0.185496, 5... \n",
+ "6 {'type': 'Point', 'coordinates': [-0.160418, 5... \n",
+ "7 {'type': 'Point', 'coordinates': [-0.213862, 5... \n",
+ "8 {'type': 'Point', 'coordinates': [-0.161567, 5... \n",
+ "9 {'type': 'Point', 'coordinates': [-0.198587, 5... \n",
+ "10 {'type': 'Point', 'coordinates': [-0.190082, 5... \n",
+ "11 {'type': 'Point', 'coordinates': [-0.204686, 5... \n",
+ "12 {'type': 'Point', 'coordinates': [-0.197303, 5... \n",
+ "13 {'type': 'Point', 'coordinates': [-0.20776, 51... \n",
+ "14 {'type': 'Point', 'coordinates': [-0.20927, 51... \n",
+ "15 {'type': 'Point', 'coordinates': [-0.18022, 51... \n",
+ "16 {'type': 'Point', 'coordinates': [-0.212046, 5... \n",
+ "17 {'type': 'Point', 'coordinates': [-0.173448, 5... \n",
+ "18 {'type': 'Point', 'coordinates': [-0.196947, 5... \n",
+ "19 {'type': 'Point', 'coordinates': [-0.194916, 5... \n",
+ "20 {'type': 'Point', 'coordinates': [-0.197777, 5... \n",
+ "21 {'type': 'Point', 'coordinates': [-0.200249, 5... \n",
+ "22 {'type': 'Point', 'coordinates': [-0.16055, 51... \n",
+ "23 {'type': 'Point', 'coordinates': [-0.180416, 5... \n",
+ "24 {'type': 'Point', 'coordinates': [-0.169814, 5... \n",
+ "25 {'type': 'Point', 'coordinates': [-0.188775, 5... \n",
+ "26 {'type': 'Point', 'coordinates': [-0.185916, 5... \n",
+ "27 {'type': 'Point', 'coordinates': [-0.216922, 5... \n",
+ "28 {'type': 'Point', 'coordinates': [-0.216919, 5... \n",
+ "29 {'type': 'Point', 'coordinates': [-0.18705, 51... \n",
+ "... ... \n",
+ "145541 {'type': 'Point', 'coordinates': [-3.384425, 5... \n",
+ "145542 {'type': 'Point', 'coordinates': [-3.100105, 5... \n",
+ "145543 {'type': 'Point', 'coordinates': [-3.256918, 5... \n",
+ "145544 {'type': 'Point', 'coordinates': [-3.051416, 5... \n",
+ "145545 {'type': 'Point', 'coordinates': [-3.155866, 5... \n",
+ "145546 {'type': 'Point', 'coordinates': [-3.205548, 5... \n",
+ "145547 {'type': 'Point', 'coordinates': [-3.259273, 5... \n",
+ "145548 {'type': 'Point', 'coordinates': [-3.121064, 5... \n",
+ "145549 {'type': 'Point', 'coordinates': [-3.48959, 55... \n",
+ "145550 {'type': 'Point', 'coordinates': [-3.371751, 5... \n",
+ "145551 {'type': 'Point', 'coordinates': [-3.47656, 55... \n",
+ "145552 {'type': 'Point', 'coordinates': [-3.217089, 5... \n",
+ "145553 {'type': 'Point', 'coordinates': [-3.444011, 5... \n",
+ "145554 {'type': 'Point', 'coordinates': [-3.305608, 5... \n",
+ "145555 {'type': 'Point', 'coordinates': [-3.228143, 5... \n",
+ "145556 {'type': 'Point', 'coordinates': [-3.104857, 5... \n",
+ "145557 {'type': 'Point', 'coordinates': [-3.363786, 5... \n",
+ "145558 {'type': 'Point', 'coordinates': [-3.521008, 5... \n",
+ "145559 {'type': 'Point', 'coordinates': [-3.461973, 5... \n",
+ "145560 {'type': 'Point', 'coordinates': [-3.340626, 5... \n",
+ "145561 {'type': 'Point', 'coordinates': [-3.356024, 5... \n",
+ "145562 {'type': 'Point', 'coordinates': [-2.965874, 5... \n",
+ "145563 {'type': 'Point', 'coordinates': [-3.303395, 5... \n",
+ "145564 {'type': 'Point', 'coordinates': [-3.466387, 5... \n",
+ "145565 {'type': 'Point', 'coordinates': [-3.431389, 5... \n",
+ "145566 {'type': 'Point', 'coordinates': [-3.520404, 5... \n",
+ "145567 {'type': 'Point', 'coordinates': [-2.986151, 5... \n",
+ "145568 {'type': 'Point', 'coordinates': [-3.521639, 5... \n",
+ "145569 {'type': 'Point', 'coordinates': [-3.424552, 5... \n",
+ "145570 {'type': 'Point', 'coordinates': [-3.259679, 5... \n",
+ "\n",
+ "[145571 rows x 37 columns]"
+ ]
+ }
+ ],
+ "prompt_number": 8
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "# Store the district shapes in a frame\n",
+ "shp = fiona.open(shapefile_dir + 'transformed_district_region.shp')\n",
+ "bds = shp.bounds\n",
+ "shp.close()\n",
+ "extra = 0.01\n",
+ "ll = (bds[0], bds[1])\n",
+ "ur = (bds[2], bds[3])\n",
+ "coords = list(chain(ll, ur))\n",
+ "w, h = coords[2] - coords[0], coords[3] - coords[1]"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 12
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "[bds[0], bds[2]], [bds[1], bds[3]]"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 13,
+ "text": [
+ "([-8.649534846436255, 1.763129502317336],\n",
+ " [49.86469834829914, 60.86067432055973])"
+ ]
+ }
+ ],
+ "prompt_number": 13
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "# Create a map that contains all the districts\n",
+ "m = crop_basemap([bds[1], bds[3]], [bds[0], bds[2]], shapes=['district'])"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "display_data",
+ "png": 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s7D/acxsmXb58OT///DMODg6oVCrCw8O5du0aM2fO5IsvvkCj0TBnzhx27twJoOyH+ahm\nzZrlOjFIiH+SwBRCFGn79u0DYP78+ezcuRO9Xo9Op+PKlStERkZy7tw5Dh06hEqlYvr06cqykZSU\nFP78808ALl68yB9//JFjw+levXqxbt06AgMDC/emhEWSIVkhRJE3fPhwpWhAmTJluHfvXo5zgoKC\n6NKlC2fOnCE4OBiA8uXLEx0dDcCLL77IhQsXyMzMBKBv376sX7++kO5AWAoZkhVCWLRly5axdOlS\ngFzDEgwzZgElLAElLAFat25NkyZNlNdHjx7l6NGjnDx5siCaLIohCUwhhEUYPnw4n3/+eY7jdnZ2\nqNVqXnnllcdu6Ozi4sKpU6eU15GRkUpN2b59+3L//v38b7QoVmRIVghhUXKrHfvxxx+ze/dujh07\nBhhC1MnJSSlzB4YlJ1FRUUpP9Z9CQkJ4+eWXC67hwiLIkKwQwux0Ol2+XMff3x+9Xq+EI8C8efOM\nXtepU4cVK1Yor7Or9axbtw4wVPr5p6CgoBwbUAvxKAlMIUSB69evH1ZWVqhUqscOmz6NRo0aKc8o\nHw26ypUrExoayo8//qgcq169OgAjRoxg/PjxVKtWTXmvcePGys9NmzY1egYqxKMkMIUQBWrIkCFs\n2LABGxsb4O9qPPnBy8sLjUaDm5sbYHgWee3aNZo0acKGDRt4++23ATh27BiRkZG4uLjg6OjI9evX\nlWvcvHmTLl26AHDu3Dl69uyZb+0TxYsEphCiQJ0+fRowhBnA8ePH8/X61tbWxMfHc/bsWdavX49K\npeLSpUsArFq1Sjlv+fLl6HQ6Vq5cSXh4uHK8VatWbNu2LV/bJIonCUwhRIHavn075cqVY82aNQBM\nmDChQL6ndu3ays/ZS08ePnyoHGvQoAEpKSlGYQlw9epVwLDrycaNGzl37lyBtE9YPglMIUSB8vb2\nNgqhf27HVVj8/f2VdgQFBaHT6WjXrh0hISGAYVeU3r17S9UfkScJTCFEgfP09CQzM5OsrKxC+b5j\nx44pJfKy2dnZsXv3bgCOHDmCSqVi165d3Lp1iyZNmtC1a9dCaZuwXBKYQohCYWNjkyPECoqvr6/R\nbFxra2uqVKmiFF/P3hYMDEtMjhw5grOzc6G0TVguCUwhRLFTvnx5o9cVK1YEIDY21hzNEcWEBKYQ\notj56KOPjF63aNECgJYtWwLw888/F3aTRDEggSmEKHb+uY2Xr68vgDJDtnfv3kaVgYQwhQSmEKLY\nGTZsGIBSLEGlUhEVFaUsIYG8dz0RIi/W5m6AEELkt4iICAA0Gg329vYAuLq6ArB582a6dOlSaBOQ\nRPEhPUwhRLGzZcsWxo0bB6DUjc3eOHrgwIFYW1sbFWcXwhSyvZcQolj63zZNTJs2jXnz5pGcnJzj\nHPn9Jv5JtvcSQpQoN27cUH7OyMjIEZYLFy7k7Nmzhd0sYeEkMIUQxc7GjRuVn1UqFQEBAQCsWLEC\nlUrF4MGDjWrPCmEKCUwhRLHz6B6XKpVKKVzQt29fdDodLi4u5mqasGASmEKIYqdPnz7Kz2q1Wtli\nzMHBwVxNEsWABKYQotjJLoE3bdo04uPjiYmJMXOLRHEggSmEKFY+//xzwNCzVKvVXL58GTDudQrx\nLCQwhRDFSlRUFADdunVj8eLFlClTBoD9+/ebs1miGJB1mEKIYmXbtm257m1ZrVo1rly5YoYWCUsi\n6zCFECVGly5dGDhwIO7u7ko5PIBy5cqZsVWiOJAephCiWLp27ZpSFg/ghRdeICwszIwtEpZAephC\niBKnatWq+Pv7K69lSYl4XtLDFEIUW5cuXSI1NZUyZcrg4+Oj1JcVIi+P62FKYAohhBD/I0OyQggh\nxHOSwBRCCCFMIIEphBBCmEACUwghhDCBBKYQQghhAglMIYQQwgQSmEIIIYQJJDCFEEIIE0hgCiGE\nECaQwBRCCCFMIIEphBBCmEACUwghhDCBBKYQQghhAglMIYQQwgQSmEIIIYQJJDCFEEIIE0hgCiGE\nECaQwBRCCCFMIIEphBBCmEACUwghhDCBBKYQwiLo9XpUKhUqlYpVq1aZuzmiBFI94X29Xq8vlIYI\nIcTj9OzZk+DgYOW1/G4SBUGlUkEe2SiBKYSwCP/7RQaAq6sriYmJZmyNKK4eF5gyJCuEsDi3b982\ndxNECSSBKYSwCDNmzKB27dpcvnwZFxcXczdHlEAyJCuEEEL8jwzJCiGEEM9JAlMIIYQwgQSmEEII\nYQIJTCGEEMIEEphCCCGECSQwhRBCCBNIYApRguTHMjGNRsPOnTuZPXs2SUlJ+dAqISyDtbkbIIQo\nHP3792f9+vVotVrU6mf/W9nW1lb5OTk5mU8//TQ/midEkSeBKUQJsX79egDCw8OpXLnyM11j7969\nRj+/+OKL+dI2ISyBDMkKUUwlJSUp22Ht3r0bAE9PT+zt7Z/5mtu3b1d+Tk1NxcPD47nbKYSlkB6m\nEMVI9p6RAN99951yfN26dQDExcVx+PBh+vTp80zXHzduHFeuXEGtVtOwYcPnb7AQFkQCU4hipHz5\n8ty/fx+dTodOp1OOu7m5AeDn5/fMYQng7e1t1MsUoiSRIVkhihFXV1eysrKMwrJs2bJ06NCBZs2a\nsXjx4uf+jjlz5hht5CxESSGBKUQxEhYWRp06dQB47bXX8PT0JDY2lvbt2/PgwQM6der0xGucP3+e\nESNGEBsbS5kyZShdujRbt24FDFtsTZgwgXfffbdA70OIokgCU4hixN7enjNnzqBSqUhLS8PPzw9r\na2vUajXnz59n0aJFT7xG+fLlWbJkCeXKlSMuLo7ExEQ0Gg1Nmzbls88+AyAtLS1f1nQKYUlkP0wh\niiGVSkX58uVJTEwkNTUVAGtra+zt7bl79y5OTk5P/LydnR0ZGRlUr16du3fv5lqkYO/evbRu3bpA\n7kEIc3jcfpgy6UeIYmj06NFKb7J8+fJ06tSJ5cuXk5KSgqurK1qtNs/PZgdsRkYGgDIrFiAkJIRL\nly6xZ88eKleuTN26dQv4ToQoOqSHKUQxNWLECC5evMihQ4cICwszCrfly5fTv39/Xn/9dVQqFUuW\nLMHDw4N79+5RtmxZwDAjNioqSvlM1apVuXr1aqHfhxCF6XE9TAlMIYqppKQkYmNjqVq1KgANGjTg\n1KlTqNVqrK2tKV++PLdu3VLeO3HiBO7u7jx48AArK6scvdCUlJQnDuUKYekeF5gy6UeIYsrV1VUJ\ny+PHj3Pr1i3s7e3p2bMnVlZWxMbGKudeuXIFlUrFgwcPALCyslLey/55z549hdh6IYoeCUwhSoC6\ndety8OBBzp8/j1arJS0tjaysLHx9fQFo3Lixcq6npyepqamsXLmSoUOHkpWVxYwZM2jXrp25mi9E\nkSCBKUQxsXnzZpycnAgICCAlJcXoPQcHB2rWrElwcDAtWrQAoHnz5kRGRgKG55XZfv/9d6ysrHjz\nzTdZvnw5ANOmTcPR0bGQ7kSIokkCU4hiID4+nh49eqBWq7l06RLvv/8+3bp1Q6VS0a1bN2JiYtDp\ndHzwwQckJCQAsH//fgD8/f2pVKkSAGXKlOGFF14w230IUZRJYApRDHTt2hUwFEevWbMmK1euVKrz\nbN26FX9/f7Zt2wZAhQoVAMOs1woVKlCtWjXefPNN2rZty759+/j555/NcxNCFHESmEJYmKioKEaO\nHMmbb77JtWvXgL/XTGo0Gvr168eUKVMYNWoUYChYkJ6ezqFDhwB45ZVXCAgIUJaIXL16FQ8PD159\n9VXGjBlD7969cXNzY9SoUdy5c8cMdyhE0SSFC4SwADExMSxYsIAdO3Zw5swZ5fj69ev56quvlBmv\n69evZ+DAgYBheNXKygobGxuysrKoUqUKADVq1ODEiRO4uroSExODVqvlzJkzXL9+nQMHDgCQkJDA\nt99+S0xMDJs2bSrcmxWiiJLAFI8VHx+Ph4cHERERyoxKUbjOnj2rFFQHaNmyJa+88go6nY7Vq1cz\nYsQIHB0d6dGjB8HBwSxatIhatWoRFxeHVqulXLlyhIeHU6tWLQBOnjzJli1bcHNzo2zZstStW5eX\nXnqJ2rVr5/ju1NRUoz02hSjJJDDFY3l4eAAwcuRI2QfRTOLj47GyssLLy4u33npLOa5WqxkyZAiR\nkZGsX79e2XJLpVIRGhpKWloaYBiurV27thKYu3fvJjQ0lPj4eKPvadGiBU2aNOHKlSvExcXh7OzM\n7t27UavVUmhdCKTST4mTkpKCs7OzyeePGTOG9evXs3//fgIDAwuwZSIv1tbWuLq6MnLkSOzs7HI9\nR6/Xc/z4cY4dO0ZSUhLffvstI0eOBODTTz9l8uTJyrnx8fEkJydTsWJFo2uEhIRQv3595bW7u7sS\nqvJ7QJQUUulHAIbhNRcXl6fqKS5cuJDY2NhiG5YnT57MsWaxqNHpdHh6euYZlmD4P3njxo2VOrCZ\nmZmEhYUxbtw41Gq10YbS2UH4z02gsycJgaH3WqVKFapXrw4YNo0WoqSTHmYJkpWVxRdffMGECRPk\nmdT/qFQqPvvsMyZOnGjupuTJ0dGRSpUq0adPnyeem5WVxerVq4mIiMDf35+bN28CcOnSJf7zn/+w\nYsUKevXqxebNm4G/e456vR61Wo1KpcLZ2RkXFxejGbIbN26kd+/eBXB3QhQtUnxdiDykp6djb29v\n7mY8louLC+7u7gwdOtTkz2zbto3Q0FBKlSoFGIoTnD59mjVr1vDmm2+i1WqxsbEhMzNT+Uy3bt04\ne/YsQ4YMYe3atdy6dYt33nmHH3/8kYsXLyrXEqI4k8AUwoJljwZ8/PHHTxwZuHXrFvv378fOzo7L\nly+j0WgIDQ2lSZMmOXYfmTp1KjNnziywdgthiWQDaSEslEajAcDZ2dmkYfTffvuN6OhoAF5++WWs\nra25fPkyWq2WV199FWdnZ8qWLcuyZcueeL1Tp06xe/duJk+eLEP4QiCBKUqYCxcuUKFCBUqXLm3u\nppgkuyBB69atn3huamqqEpbvvfce7du3B+DYsWOAoag6GGbdAixbtowZM2bkeb1Vq1axaNEievfu\nrUz+EaIkk1myokRJSEhArbac/9kvXboUgICAgMeet2/fPubMmYNaraZevXrcv3+fI0eOAHDnzh3l\nnqOjo5XZttk7keRl0qRJ/PbbbxKWQvyP9DBFidKkSRNzN+GpZBeOyO4V5uXu3buA4fnL6dOnuXDh\nAhkZGcybN4+HDx8q56Wnp5OYmEhmZib3799/7DW9vb2Ntv0SoqSTwBSiCPPz8wPAyspKOXb+/Hkq\nVqxoVIDi9ddfJzQ0lD///JP09HTefvttwsPDWb16tdH1unTpgqurKzdv3uTu3btoNJonhrEQwkBm\nyQpRhMXExODl5cXrr7+On58fN27cYMOGDTg7OzNu3Lgnfv7UqVOkp6dz4MABnJycSEpKAgw91qys\nLA4ePIifnx/Nmzfnk08+4c033yzoWxKiSJNlJUJYsOweoJ2dHampqcrxjz76CBsbmzw/t337dsLC\nwhg+fDjffPNNruXtKlasyK1btwDw8fEhMjIyn1svhGWR0nhCWLAtW7ZQoUIFUlNTKVWqFD///DMq\nlSpHWF65coVNmzYpPcdTp06RkZFBRkYG77//Pl26dDEq3g6GZ5+DBw8GKPIlAoUwN3l4IUQRFhUV\nxZdffknDhg2JjIwkLS2NGzduoNfrSUxMVKrv/PXXX0q5u7CwMGxsbJg4cSJz584lKioKHx8fgoKC\nAMN+mJcvX1Z+zt627dtvvzXDHQphOSQwhSiC9Ho97u7uJCQkKMesrKzIzMzk/Pnz+Pr6KsUHbG1t\niYuLw9HREXd3dw4dOkSlSpUAwzPQtWvX0qBBA6X4QHZYgiFcz507B0B4eHjh3aAQFkieYQpRBC1c\nuJB3332X9u3b06BBA1atWkVERAQVK1bkl19+wd3dnapVq6LT6ahYsSLu7u78/PPPVK5c2eg6CQkJ\neHh40LRpU5o1a4Zer0ev13PixAkOHDgAQOfOnXF1daVGjRo4ODgwcOBAypcvb4a7FsL8ZNKPEBam\nTZs2nD9/XtnTMjU1lf3793P16lUSExOZMWMG77//PlevXuXFF198bOm6Ll26GG3pVq9ePeLj44mK\niiIzMxNiu2EHAAAgAElEQVSVSkXPnj3ZsmULWq2W9PT0x24lJkRxJoEphIVRqVQEBATQt29fo+N6\nvZ69e/dy5MgROnbsyM6dO2ncuDFHjx7N81qnTp2iQYMGAFSpUoXr168DMGXKFGbNmgUYtgXbt28f\nrq6uNG7cuIDuSoiiTwJTCAuT3WNUq9UMGjQIf39/o/enT58OQGBgIBqNxui55KOSkpK4cuUK9evX\nB6BVq1bs378fMITkowURhBCyrEQIi5Oens7x48dxdnbm/PnzOd6vUaMGAImJicrGzvfv36dhw4bs\n3LkTgB9++IFSpUopYQlw4MABli1bhk6nk7AU4ilJYApRBNnZ2dGwYUPKlCnDnTt3crzfokULAG7f\nvs2nn36Kvb09np6enDx5kh9//JG0tDR0Oh0uLi5Gn9Pr9WRlZcl2XUI8AxmSFaIIW7lyJUOGDKFB\ngwZ06tRJOR4XF8fXX38NGJabPLo59K1bt/D398+1sk+DBg04ceJEwTdcCAslQ7JCWKjBgwczf/58\nTp48yYULF5Tj7u7uuLq6AlC+fHmjLcvmz59vFJa9evWie/fuAJw8ebKQWi5E8SOBKUQR9+677wJ/\nbwS9Y8cOZs6cqRRSv337NmXLlsXKyooxY8Ywd+5co+eTNWrUYOvWrdStW1epGyuEeHoSmEJYgE6d\nOhEZGcn169eNeokNGzYEDDVha9euzaRJk7CysmLGjBmAobh6REQEOp2O77//XtkuTAjx9OQZphAW\nwt3dnQcPHuT63muvvUZwcLDRsSZNmnDs2DG6dOnCtm3biI6OxsvLqzCaKoTFetwzTKklK4SFiIyM\nJDw8HGtraz788EMmTJiAra2t0bKRRzk5OWFlZUVISAhgmAwkgSnEs5MephDFyF9//UW9evVISkpS\nJgWNHz+eOXPm4OHhQVxcnJlbKETRJrNkhSghsp9pOjg4sGnTJgDmzJkDkGdPVAhhGulhClGMnDhx\nAnt7e+rWrQvAwIEDWbNmDbVq1SI0NFSKqgvxBFJLVgghhDCBDMkKUcwNHjyY7777Ltf3EhMTefnl\nl402oxZCPD0JTCEsXFxcHKtWrWLkyJGEh4fneP/UqVOEhoayatUq0tPTC7+BQhQTEphCFFGLFi3C\n1tYWR0dHYmJicryfkZFBXFwc48aNU45VrFgxx3lt2rQhODiYV155BRsbmwJtsxDFmTzDFKKIsrGx\nITAwkGvXruHn58eiRYvo27cvGo0Ga2trZYlIcHAw0dHR1KhRgxdeeIFz587RqFEjHBwczHwHQlge\nmfQjhIWJjIzEz8+PMWPGEBoayuHDh5X3fH19SUpKokaNGpw8eZJSpUqRlpZGZmam0TVu376Nt7d3\nYTddCIsmgSks1vXr12nUqBGzZ89m2LBh5m5Ovrh79y5qtZqyZcuSmprKRx99xP3791m2bBm2trYA\naLVa/P39uX37Ns2bN6dVq1bEx8fj6elpdK3w8HD27dtHpUqVCAoKQq1W88svvxAREUFmZqbRLiZC\niCeTwBQWq0WLFhw6dEh5rVKpKFeuHGlpaRw9epRatWoBho2RLWFT5E2bNtGrV69c3zt06BBHjhxh\n27Zt1KxZk8WLF/PWW2+xatUq6tevT+fOnU36juXLl5OWlsa9e/fys+lClAhSS1ZYrOjoaGxsbGjW\nrBmnTp2iYsWK6HQ67t69S2BgIHXq1CE+Pp7bt2/z7bffMmLEiEJpV2ZmJm5ubowfP56PP/74iedn\nZWVRu3ZtLl++jKOjI02bNsXW1pbKlSvz66+/EhERwSuvvIJarcbV1ZUjR46wYsUKHBwcsLKywtHR\n0aR2paWlERkZ+by3J4TIhfQwRZHm5+fHgwcPjGaCAuh0OhYuXEhCQgL29vbKconcduS4evUqGo2G\n/fv3M2DAANzc3J67XY/2Zp/0/5GsrCwCAwO5cuUKb7zxBlWrVjV6X6/Xs337dkJCQnj33Xdxc3Mj\nJiaG27dvs2vXLjw9PRk+fLhJw6uzZ88mPT2dnTt30qFDh2e7OSFKMBmSFRZJq9VibW2Np6cn77zz\nTq7nTJ8+PcexAwcOsHHjRmbMmEFMTAy1a9c2et/FxYWEhISner53584dRo4cyciRIwkMDMTf3195\nz9ramqysLKpWrcq4ceN45ZVXiIqKYvbs2Zw5c4aHDx+SkZHBiBEjKFeunMnf+SymT5+Os7MzycnJ\nBfo9QhRXMiQrLNLKlSsB6N+//xPPHTp0KJs2bSIhIYGWLVsChk2XFyxYAMCAAQPw8fEhNDSUvXv3\nYmVlha+vL5cuXcLR0RFbW1s0Gg0HDhygRYsWynXj4uJwd3dXZptu3bpVea9jx47s3LmTrKwsAK5d\nu8bIkSNzbd/kyZOVCT0FJXuWbHYBdiFE/pIepihSPv74Y+rUqUP37t3x9fVFr9czatSoPM9ft24d\nly9fxt7enokTJ7Jt2zZl/0eAzp07s337dqOeaFZWFp988gkArq6udO3alV9//ZWUlBTlHJ1OR8+e\nPdm8ebNyrF+/fqxfvx6AVq1a0aJFC9LT07G3twf+7u2OHj0ae3t7XFxcuHHjBm5ubvkyDPwkX375\nJUlJSaSmpsoaTCGekdSSFRajSpUqfPrpp9jY2HD37t0nzgxNTU0FUAKpS5cuTJ06FTAs/G/cuHGO\nz1hbW/Ovf/0LgKSkJNauXWsUlgBqtdooLJ2cnKhZsybTp09n3LhxNG/eHEAJS4CJEydSv359ypQp\ng4uLCwCVK1culLDcsmULSUlJzJkzR8JSiAIiQ7LF2JkzZ2jbti3Xr19XfoEXdQ8ePOD06dMEBQXR\npk0bo0D6p/PnzyszQvv166ccP3LkCAAajYYpU6bk+tywdu3aHDp0iNjYWOXYlClTUKlULFiwgKSk\nJAC8vLxyDLM6Ozvn2h57e3uTl37kJ41GQ2hoKCNHjuTDDz8s9O8XoqSQHmYx9uKLL3Lv3j1cXV25\ndOmSuZtjkmXLlgGGnuLjwhKgRo0aVKpUicqVK1OqVCkAUlJS+P33343O69GjR47PpqSkKKXlAFq3\nbo21tTVWVlZ07dpVeWZpbV30/6b873//C8DixYvN3BIhijd5hlkM6fV6dDpdjl/2lvBvqVar8fLy\neub1lHPmzFGGaQMDA+nYsWOuPcJVq1Zx8+ZNVCoVPXr0oE6dOjnO0ev16PX6Il8tJ/tedDqdRRRv\nEKIok2eYJYher+fll19WwnLMmDHKkGRhLep/VkuWLEGv1xMdHc2GDRue+vPnz58nNTUVJycnAAIC\nAvIcPs3+76dZs2a5hiUY/o9T1MMSYODAgahUKt544w06duyIj4+PMqQshMg/Rf+3gXgqEyZM4PTp\n0zg5OTFs2DDc3d2VWaZLlizhzp07Zm5h3h4tHn7x4kW+//57kz+r1+uVSToPHz6kU6dOStm83L7n\n6tWreHh4EBQU9HyNLgLUajXt2rVj8+bNHDhwgKioKE6fPm3uZglR7EhgFhOxsbFUqFCBuXPnUqpU\nKT788EN8fX2V9ytUqABQpCf/vPPOO+j1emXtZEREBNOnT2fLli1P/Oy2bdvQaDSAYd1mgwYN8uwd\nZj/Pbd++vfLs09Klp6czZMgQevfuDUCjRo3M3CIhip+iP6NBPNGkSZOYPXs2AC1btlQW7j8qewjy\nxIkTtGnTpjCbZ7Ljx49z7Ngxxo4da3Q8NDQUb29vXn755Tw/m10ar3Xr1tSoUeOx3xMREYGXlxfV\nq1d//kYXEQcPHuTgwYPKa3mWKUT+k0k/Fu7o0aM0bdqUOnXq0LNnzzzP02q1zJo1Cyi6k3+WL1/O\npEmTlF02pk+fzoULF9i4cSNlypRh9OjR+fI96enpaLVa5VlncbFz505OnDjBG2+8werVq83dHCEs\nkpTGK6bmzJnDpEmT8PLyemxYAkr5tqJs+/btRltSTZ8+HR8fH1q0aJHn5J1n8aTlKpbqxIkTAHzz\nzTdmbokQxZMEpgVKTU2lbdu2HD16lHr16tG9e/cnfmbHjh0A3Lx5s6Cb98yCg4NzHHv48CGtWrUy\nQ2ssV1F+Ti2EJZNJPxaocePGylCsKWEJhqo/AQEBRrtsFAV6vZ5GjRrl+cztwYMHhdwiy5Q9giCV\nfoQoOBKYFkSv1xMeHk5YWBgBAQG0bdvWpM9FRUUBsHHjxoJs3jPJyMhQhhLBUOLuo48+4oUXXlCO\n3bp1yxxNsyjZu6h8+umnZm6JEMWXDMkWcffu3SM4OJjmzZsr6wrt7OyU4uGmuHjxIgCJiYkF0sbn\nYW9vzzfffMPbb78NGMrdqVQqevXqRdOmTdFoNEbLY0ROJ06c4MyZM7i4uGBjY2Pu5ghRbElgFmE3\nb96kcuXKRseGDx+Oj4/PU12ndevWhIeH06xZM3x8fJSC5UVF+/btlZ+zsrKUX/peXl7mapLFOHny\nJDt37gQgPj7ezK0RoniTwCyCdDodVlZWRsdq1apFr169chw3VXah8cLYauppPfoHwLVr1wgICDBj\nayxHTEwMO3bswM/PT4athSgEsg6ziHm0hwXP1qN8lE6nY8GCBSQmJnLlyhWqVauWH83MV+np6UZ7\nOE6YMEH2dDRB9obVWq3WImreCmEJZB2mBbhx4wZVqlRRXteqVYs+ffo893V/+uknEhMT2bRpU5EM\nS4CFCxcavU5NTZXAzIVer+fOnTucPXtWqRV77NgxCUshCokE5v9ERkbi4+NDhw4dGDp0KH379i3Q\n7zt37hxeXl7cunULGxsbmjVrBoCVlRWvvfaa0SzRZ3Hx4kWjHT9y2xOyKMjMzOT06dNUr16dK1eu\nACiF0cXfLl++zObNm0lLSwPAycmJkJAQateubeaWCVFyyJ+mwPfff88LL7xAVFQUu3fvZuzYsQVe\nPm7AgAEMGTKEZs2asXr1apKTkwHD8FrVqlWf+/ru7u6AoacaHh7+3NcrKJmZmVy4cIGhQ4cqx377\n7TdlKUxJFxERwZIlS1i3bh1paWlMmzYNvV5PSkqKhKUQhUx6mMCgQYNwc3PD29ubSpUqMW/evAIt\nXp2VlUVaWhrbtm0DYO3atcp7jRs3fu7hyJ9//plz584BMH/+fCpWrAgYips3btyYdu3asWvXruf6\njqfVvXt3PD09Wb58OQDjxo3jv//9L8OHD2fPnj1YWVnx+++/s3v3bgCWLl2Kj48Pt2/fxsnJidat\nW6PRaPDw8MiXPygsQXh4OCtXrqRChQosWrSIUaNGSVF1IcxIJv0Uklu3blGhQgVsbGy4ffs2u3bt\nYvjw4cr7rq6uJCUl0a9fP2rWrPlc3/Xtt9+SnJzMH3/8Qb169QAYPXq0UY3Rwvx3Xbx4sbLOMiAg\ngM8//5xu3bo98/VGjhxZ7JecJCQk8NVXX9G0aVOjXUiEEAXrcZN+JDALQcuWLZVfep9//jkTJkx4\n7PmTJ0/G1tb2mb5r5syZ6HQ63N3duX//PmDYxaJTp05Kj83b25vbt28/0/WfhbW1NVqtFg8PD6VN\neWnVqhVeXl5ER0dz5MgR3NzciI2NBQzLT/r371/sdhnJzZw5c1CpVMTGxuLo6Gju5ghRYkhgmtnT\nDqM96wzZuXPn8vDhQwAGDhzIqlWrGDRoEGvWrMHV1ZW2bdvyyy+/EBYW9tyTip5G586d2bFjBxUq\nVKB27drs3r0btVrN2LFjlV1Izp07x/Xr13Otjbtt2zZCQkIAaNGiRbEvxv77779z6NAhoqKilI2/\nhRCF43GBKZN+Clh2gLVu3ZoPPvggz/MefS534cIFZXcRU929e1f5LoDVq1djbW3NmjVrqFq1Kv/3\nf//Hnj17gMKvoLN9+3aWLVvGnTt3qFGjBu3atWPSpElGW3bVrl07z0LyXbp0YdSoUYChsEFxdu/e\nPQ4dOsQnn3wiYSlEESM9zAKk1+vp3LmzUrqsX79+uLi4sHTpUpM+n70w3RR79uzhyJEjOY77+/sz\naNAgZs6cCcCQIUP4/vvvTb5ufsruaT/NfT1Kp9Oh1WqLdb3UhQsXEh8fX2Q3+RaiuJMephmkp6ej\nVquVsARYv3493t7eOerDAvTt2zfHs6pVq1aZ/H2tW7c2el2uXDn8/PwIDw9XwnLJkiVmC0uA9957\nD4B169Y9UyCo1epiHZYHDx4kPj6eWbNmmbspQohcSGAWkH379uU4VqlSJcDwfPGtt95Sjru5uREQ\nEMD48eOZOnWqcvxplpdkV3txcHAgNjaWu3fvcuvWLTp06AAYlq48+p3m8MUXX2BlZcXly5eZMWOG\n0RByfrh8+TLz589/4sSioigqKor9+/fTpk0bpkyZYu7mCCFyIUOyBSQpKYlSpUoBKM8uXVxcjM7J\nHpqcOHEi9vb2yvE//viDffv2MXbsWFxdXU3+zp07dxIWFkZqaupztr7gnDlzhhdffBEwLDFxc3Oj\nXbt2+XLt+Ph4pcxe5cqVad++PeXKlcuXaxek5cuXExkZSYUKFbh58+Yzz5AWQjw/mSVrBs7Ozjx8\n+JAmTZrkGQjffPMNsbGxjBs3zmgCjCm0Wi2ff/45bm5u1K9fXymCAIW7xvJp9ezZk+DgYKNjz/pM\nMzdpaWkcPHiQ48ePA/DCCy/QvXt3rK2LXo0OnU7HTz/9xMWLF5k6daoydC6EMB95hlnItFqtMtz4\nuN5Tr169AIyec5pKpVKRmZlJTEyMUVgWZbt27aJixYpK2T5AKWiQXxwcHOjQoQPvv/8+derU4ezZ\nsyxdujTfh3+f18OHD5k5cyZXrlxh3rx5EpZCWAAJzAKg1WpNOi97uPD8+fNP/R1qtdroeWe2999/\n/6mvVViqVq3K6NGjsbOzU46VLVu2QL6rVKlS9OzZk6CgIGJiYti7dy86na5AvutpHT9+nAULFuDp\n6UlKSooyGUoIUbQVvXGqYsDW1hYXFxeSk5PR6XSP3X6pT58+nDlz5qmuf/DgQfbv35/re0lJSU91\nrYKUmJhI6dKlAThx4gQNGjQADLV0C0unTp2Ii4vj9OnTPHjwgD59+pi1cs7169f57bffCAoKYteu\nXUbProUQRZs8wywAFy5cIDAwEDAUHa9Xrx7Jyck5Jv2YKjIyUilaboqi8m9Wt25dwsLClNeHDx+m\nfv36fP7550ybNg0rK6tce8n5LSMjg71793Lq1CmAZ3pm/Lz0ej0nTpxg165ddO/ePcdzXCFE0SCT\nfgrZo4Hp4+ODn58fR48e5c0331SWljyNtWvXcvXqVaNjVapUoVu3bty7d49SpUqRlJTE6tWrgaIT\nmNmFCiZOnMjs2bOV49mF5hs2bEjHjh0LrT2XLl1i/fr1gKH8YNeuXQtlo2qtVst3331HbGwsU6ZM\nkXWWQhRhEpiFSKvVkp6enmsPpm/fvgQEBAB/h9rj6syGhoYSFxdHSkoKNWvWxN/f/7HDiV999RX3\n798vMoHp5uZGQkICvXr1wsbGRgmrbB988MEz97qf1YULF9i6dStpaWn4+PgwaNCgAlvGkZqayooV\nK7h37x4qlYpTp07x8ssvF8h3CSHyhwRmIQoNDSU8PJz69euTkpJC27Ztlc2QPT09iYuLU84tX748\nI0aMyPNaixcvJiYmxujYW2+9hbe3t9GxL774gpSUFOV1Ufg3y8rKwsvLSykiMGXKFJYtW0bLli0p\nV64cpUqVeuyz3YIUHx/Ptm3buHHjBk2bNqVt27b5/h06nY6lS5eSnJzM7NmzGTx4cInYZUUISyfL\nSgpRUlISvXr1ws/Pj1q1ajFs2DDlveywVKlUdOzYUVlWkpvU1FQlLPv27UvTpk159913c4QlkGND\n5acpqVdQYmJijEL8l19+ITAwkJo1a+Lm5ma2sARwd3enb9++ODk5ceTIESIiIvL9OzZv3sy9e/c4\nfPgwo0ePlrAUohiQWbL5rFOnTgBUq1aNq1evGj2769q1Ky+99NITt/vS6XQsWrQIgG7duhEQEKAM\n5YIhTKOjo7G3tyc4OJgqVaowbtw4Hjx4wPLly43ONZeVK1eSkZGBs7MzKSkpXL16lYsXL6LT6WjR\nooW5m4ednR0DBgxg6dKlhIWF4efnl6/Xj4iIYPjw4dStWzdfryuEMB8Zks1nt2/fxtfXN8fxTp06\nKcsqHic2NpYlS5aQlZWFi4uL0ZZgd+7cYdmyZY9dT1jYm0M/TtmyZbl3757y2t3dnfj4eIYPH46P\nj48ZW/a3lJQUrKys8nXyz8mTJ9mxYweLFy9m5MiR+XZdIUTBkyHZApSQkGD02sfHh8OHDxsNk772\n2msEBQWZdL2LFy8q6xQ1Go3Re/Hx8U9cfH/s2DGTvqcgXbt2jcTERObNm2dUy7VatWqoVCp++umn\nIlNEwNnZOd/CMisri127drFz507atGnDv//973y5rhCiaJAe5nPYvn07Xbp0YdmyZQwdOtRoqPW3\n335Tlky89957ygL+J3n48CFLly4lISGBUqVK5Vm5R6/Xo1KpmDNnDunp6Vy9ejXXbcPM4Y033mDA\ngAGEhIRw8+ZNqlWrxuTJk2nSpIkS6FW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B8+zZs/z111+0atWK1NRUnUpfHx8ffHx8WLVq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kqlIiUlhVq1ajFixIgK5+Z0Oh3z588XRtwLFixg4cKFLF26lAkTJojzOnfubLSftDQ8PDx45513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KRXh4OJGRkbz55pv8+eefvPjii9USeU5PTycqKoqsrCx8fHzE1Fl1yMzMJCoqqt64G5SUlLBr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WD+xRAcHIytrS2ffvrpkz6VvyT+/ve/o1KpNGTRGsLo0aPR1dUlMDCQM2fO/GFRdplMJrwc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/W11f2JMnT8olJba2tqSmpuLi4iLPNd28ebPeLs7JyQmNRsPx48f11tm+fXuOHDlCRESE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\n",
+ "text": [
+ "<matplotlib.figure.Figure at 0x7f43fa692a90>"
+ ]
+ }
+ ],
+ "prompt_number": 14
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "# A frame that contains every district, extracted from the shapfile.\n",
+ "df_map = pd.DataFrame({\n",
+ " 'poly': [Polygon(xy) for xy in m.district],\n",
+ " 'district_name': [district['NAME'] for district in m.district_info]})\n",
+ "df_map['area_m'] = df_map['poly'].map(lambda x: x.area)\n",
+ "df_map['area_km'] = df_map['area_m'] / 100000\n",
+ "\n",
+ "df_map"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "html": [
+ "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>district_name</th>\n",
+ " <th>poly</th>\n",
+ " <th>area_m</th>\n",
+ " <th>area_km</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0 </th>\n",
+ " <td> HIGHLAND</td>\n",
+ " <td> POLYGON ((453022.9949546538 1334399.614144568,...</td>\n",
+ " <td> 8.392190e+10</td>\n",
+ " <td> 839219.049331</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1 </th>\n",
+ " <td> DUMFRIES AND GALLOWAY</td>\n",
+ " <td> POLYGON ((680091.4599565335 1030818.007436962,...</td>\n",
+ " <td> 1.956628e+10</td>\n",
+ " <td> 195662.788542</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2 </th>\n",
+ " <td> ABERDEENSHIRE</td>\n",
+ " <td> POLYGON ((596952.7870225685 1416976.709287949,...</td>\n",
+ " <td> 2.149338e+10</td>\n",
+ " <td> 214933.781889</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3 </th>\n",
+ " <td> PERTH AND KINROSS</td>\n",
+ " <td> POLYGON ((593859.5746641977 1267760.827338345,...</td>\n",
+ " <td> 1.765605e+10</td>\n",
+ " <td> 176560.464428</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4 </th>\n",
+ " <td> POWYS - POWYS</td>\n",
+ " <td> POLYGON ((678600.4708295433 468089.1021490712,...</td>\n",
+ " <td> 1.386187e+10</td>\n",
+ " <td> 138618.698686</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>5 </th>\n",
+ " <td> NORTHUMBERLAND</td>\n",
+ " <td> POLYGON ((762583.4010561701 991836.2235147879,...</td>\n",
+ " <td> 1.531903e+10</td>\n",
+ " <td> 153190.330671</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>6 </th>\n",
+ " <td> SCOTTISH BORDERS</td>\n",
+ " <td> POLYGON ((720584.8560943112 1068968.406684903,...</td>\n",
+ " <td> 1.477198e+10</td>\n",
+ " <td> 147719.756242</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>7 </th>\n",
+ " <td> ARGYLL AND BUTE</td>\n",
+ " <td> POLYGON ((507380.4262712146 1217867.74453005, ...</td>\n",
+ " <td> 1.399497e+10</td>\n",
+ " <td> 139949.659251</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8 </th>\n",
+ " <td> CORNWALL</td>\n",
+ " <td> POLYGON ((514154.2279896485 279864.7958902363,...</td>\n",
+ " <td> 8.711619e+09</td>\n",
+ " <td> 87116.191948</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>9 </th>\n",
+ " <td> WILTSHIRE</td>\n",
+ " <td> POLYGON ((761052.7038207795 306594.3462469028,...</td>\n",
+ " <td> 8.301948e+09</td>\n",
+ " <td> 83019.482578</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>10 </th>\n",
+ " <td> SHROPSHIRE</td>\n",
+ " <td> POLYGON ((728563.1506659805 526763.51074808, 7...</td>\n",
+ " <td> 8.652458e+09</td>\n",
+ " <td> 86524.582061</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>11 </th>\n",
+ " <td> GWYNEDD - GWYNEDD</td>\n",
+ " <td> POLYGON ((632376.3813230731 628990.7100964524,...</td>\n",
+ " <td> 6.972030e+09</td>\n",
+ " <td> 69720.298938</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>12 </th>\n",
+ " <td> SIR GAERFYRDDIN - CARMARTHENSHIRE</td>\n",
+ " <td> POLYGON ((596397.0861837791 432920.2025057105,...</td>\n",
+ " <td> 6.205722e+09</td>\n",
+ " <td> 62057.215809</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>13 </th>\n",
+ " <td> EAST RIDING OF YORKSHIRE</td>\n",
+ " <td> POLYGON ((916788.9167521703 839142.9016255857,...</td>\n",
+ " <td> 6.498738e+09</td>\n",
+ " <td> 64987.376645</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>14 </th>\n",
+ " <td> STIRLING</td>\n",
+ " <td> POLYGON ((572658.3710703934 1234154.716174939,...</td>\n",
+ " <td> 7.261880e+09</td>\n",
+ " <td> 72618.798196</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>15 </th>\n",
+ " <td> MORAY</td>\n",
+ " <td> POLYGON ((601322.3013901655 1559920.000911878,...</td>\n",
+ " <td> 7.708886e+09</td>\n",
+ " <td> 77088.862864</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>16 </th>\n",
+ " <td> COUNTY DURHAM</td>\n",
+ " <td> POLYGON ((778359.1007445564 927911.3264134564,...</td>\n",
+ " <td> 6.655689e+09</td>\n",
+ " <td> 66556.888545</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>17 </th>\n",
+ " <td> ANGUS</td>\n",
+ " <td> POLYGON ((644711.2252231543 1404498.388546951,...</td>\n",
+ " <td> 7.230678e+09</td>\n",
+ " <td> 72306.780060</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>18 </th>\n",
+ " <td> COUNTY OF HEREFORDSHIRE</td>\n",
+ " <td> POLYGON ((724984.8167208728 439794.06777108, 7...</td>\n",
+ " <td> 5.759024e+09</td>\n",
+ " <td> 57590.239282</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>19 </th>\n",
+ " <td> EDEN DISTRICT</td>\n",
+ " <td> POLYGON ((756398.3439383211 908399.6418744838,...</td>\n",
+ " <td> 6.406463e+09</td>\n",
+ " <td> 64064.632389</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>20 </th>\n",
+ " <td> NA H-EILEANAN AN IAR</td>\n",
+ " <td> POLYGON ((228643.9251664635 1602897.98406311, ...</td>\n",
+ " <td> 7.670634e+09</td>\n",
+ " <td> 76706.341382</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>21 </th>\n",
+ " <td> SIR CEREDIGION - CEREDIGION</td>\n",
+ " <td> POLYGON ((583091.7324674798 573049.3984661456,...</td>\n",
+ " <td> 4.748700e+09</td>\n",
+ " <td> 47487.000439</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>22 </th>\n",
+ " <td> SOUTH LANARKSHIRE</td>\n",
+ " <td> POLYGON ((629671.9238179559 1112583.1630399, 6...</td>\n",
+ " <td> 5.537931e+09</td>\n",
+ " <td> 55379.307301</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>23 </th>\n",
+ " <td> EAST LINDSEY DISTRICT</td>\n",
+ " <td> POLYGON ((997866.8406633221 666659.8393354705,...</td>\n",
+ " <td> 4.910603e+09</td>\n",
+ " <td> 49106.026430</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>24 </th>\n",
+ " <td> HIGHLAND</td>\n",
+ " <td> POLYGON ((318012.2830360706 1462936.305708727,...</td>\n",
+ " <td> 5.593534e+09</td>\n",
+ " <td> 55935.337209</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>25 </th>\n",
+ " <td> SIR BENFRO - PEMBROKESHIRE</td>\n",
+ " <td> POLYGON ((504376.0110890038 481646.9451451311,...</td>\n",
+ " <td> 4.207126e+09</td>\n",
+ " <td> 42071.264805</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>26 </th>\n",
+ " <td> SOUTH LAKELAND DISTRICT</td>\n",
+ " <td> POLYGON ((704205.27171306 873733.8011977896, 7...</td>\n",
+ " <td> 4.550982e+09</td>\n",
+ " <td> 45509.818320</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>27 </th>\n",
+ " <td> RYEDALE DISTRICT</td>\n",
+ " <td> POLYGON ((901842.0566101422 851464.2557462538,...</td>\n",
+ " <td> 4.388841e+09</td>\n",
+ " <td> 43888.413213</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>28 </th>\n",
+ " <td> FIFE</td>\n",
+ " <td> POLYGON ((604174.5251877202 1244670.029207176,...</td>\n",
+ " <td> 4.268589e+09</td>\n",
+ " <td> 42685.885763</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>29 </th>\n",
+ " <td> RICHMONDSHIRE DISTRICT</td>\n",
+ " <td> POLYGON ((796785.6245159419 873521.9708775803,...</td>\n",
+ " <td> 3.869989e+09</td>\n",
+ " <td> 38699.893446</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>8072</th>\n",
+ " <td> SHETLAND ISLANDS</td>\n",
+ " <td> POLYGON ((891886.298677379 2123023.473961114, ...</td>\n",
+ " <td> 1.969131e+03</td>\n",
+ " <td> 0.019691</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8073</th>\n",
+ " <td> ARGYLL AND BUTE</td>\n",
+ " <td> POLYGON ((317203.1010889043 1297360.597179405,...</td>\n",
+ " <td> 1.574788e+03</td>\n",
+ " <td> 0.015748</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8074</th>\n",
+ " <td> NA H-EILEANAN AN IAR</td>\n",
+ " <td> POLYGON ((200628.6176624371 1541685.068001645,...</td>\n",
+ " <td> 1.675879e+03</td>\n",
+ " <td> 0.016759</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8075</th>\n",
+ " <td> SHETLAND ISLANDS</td>\n",
+ " <td> POLYGON ((861646.2467316808 2207132.666131773,...</td>\n",
+ " <td> 1.998240e+03</td>\n",
+ " <td> 0.019982</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8076</th>\n",
+ " <td> SHETLAND ISLANDS</td>\n",
+ " <td> POLYGON ((839321.9171657359 2179967.300611307,...</td>\n",
+ " <td> 1.960998e+03</td>\n",
+ " <td> 0.019610</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8077</th>\n",
+ " <td> ARGYLL AND BUTE</td>\n",
+ " <td> POLYGON ((327955.5959627344 1322645.151498831,...</td>\n",
+ " <td> 1.557615e+03</td>\n",
+ " <td> 0.015576</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8078</th>\n",
+ " <td> HIGHLAND</td>\n",
+ " <td> POLYGON ((489853.1909290723 1762304.642898867,...</td>\n",
+ " <td> 1.741845e+03</td>\n",
+ " <td> 0.017418</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8079</th>\n",
+ " <td> SHETLAND ISLANDS</td>\n",
+ " <td> POLYGON ((791246.5069960889 2103895.071188306,...</td>\n",
+ " <td> 1.894740e+03</td>\n",
+ " <td> 0.018947</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8080</th>\n",
+ " <td> HIGHLAND</td>\n",
+ " <td> POLYGON ((406831.2563920435 1633417.601240199,...</td>\n",
+ " <td> 1.666478e+03</td>\n",
+ " <td> 0.016665</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8081</th>\n",
+ " <td> PURBECK DISTRICT</td>\n",
+ " <td> POLYGON ((772621.3457197307 224881.419415473, ...</td>\n",
+ " <td> 1.144298e+03</td>\n",
+ " <td> 0.011443</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8082</th>\n",
+ " <td> SHETLAND ISLANDS</td>\n",
+ " <td> POLYGON ((789183.1314421133 2104190.012253269,...</td>\n",
+ " <td> 1.854703e+03</td>\n",
+ " <td> 0.018547</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8083</th>\n",
+ " <td> SHETLAND ISLANDS</td>\n",
+ " <td> POLYGON ((855646.9639732213 2104510.253651877,...</td>\n",
+ " <td> 1.830707e+03</td>\n",
+ " <td> 0.018307</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8084</th>\n",
+ " <td> SHETLAND ISLANDS</td>\n",
+ " <td> POLYGON ((863715.9332395556 2206876.078790086,...</td>\n",
+ " <td> 1.880317e+03</td>\n",
+ " <td> 0.018803</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8085</th>\n",
+ " <td> NA H-EILEANAN AN IAR</td>\n",
+ " <td> POLYGON ((229792.0789476208 1631739.196899181,...</td>\n",
+ " <td> 1.589619e+03</td>\n",
+ " <td> 0.015896</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8086</th>\n",
+ " <td> SHETLAND ISLANDS</td>\n",
+ " <td> POLYGON ((878271.4421611639 2039394.281684457,...</td>\n",
+ " <td> 1.713754e+03</td>\n",
+ " <td> 0.017138</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8087</th>\n",
+ " <td> NA H-EILEANAN AN IAR</td>\n",
+ " <td> POLYGON ((272345.6315960943 1706185.848445966,...</td>\n",
+ " <td> 1.557054e+03</td>\n",
+ " <td> 0.015571</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8088</th>\n",
+ " <td> SHETLAND ISLANDS</td>\n",
+ " <td> POLYGON ((860423.9154705534 2208376.456278435,...</td>\n",
+ " <td> 1.775677e+03</td>\n",
+ " <td> 0.017757</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8089</th>\n",
+ " <td> SHETLAND ISLANDS</td>\n",
+ " <td> POLYGON ((933402.4011343222 2248241.655814567,...</td>\n",
+ " <td> 1.794969e+03</td>\n",
+ " <td> 0.017950</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8090</th>\n",
+ " <td> ARGYLL AND BUTE</td>\n",
+ " <td> POLYGON ((306541.9881210338 1297302.495227072,...</td>\n",
+ " <td> 1.382048e+03</td>\n",
+ " <td> 0.013820</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8091</th>\n",
+ " <td> ARGYLL AND BUTE</td>\n",
+ " <td> POLYGON ((309303.8707154305 1287486.683061615,...</td>\n",
+ " <td> 1.355942e+03</td>\n",
+ " <td> 0.013559</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8092</th>\n",
+ " <td> ARGYLL AND BUTE</td>\n",
+ " <td> POLYGON ((340373.3670206967 1323634.124490729,...</td>\n",
+ " <td> 1.346282e+03</td>\n",
+ " <td> 0.013463</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8093</th>\n",
+ " <td> ARGYLL AND BUTE</td>\n",
+ " <td> POLYGON ((347224.1139650308 1352772.485025928,...</td>\n",
+ " <td> 1.310633e+03</td>\n",
+ " <td> 0.013106</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8094</th>\n",
+ " <td> SHETLAND ISLANDS</td>\n",
+ " <td> POLYGON ((839349.7269818566 2179875.919776796,...</td>\n",
+ " <td> 1.599934e+03</td>\n",
+ " <td> 0.015999</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8095</th>\n",
+ " <td> SHETLAND ISLANDS</td>\n",
+ " <td> POLYGON ((874091.0320706547 2215705.558530343,...</td>\n",
+ " <td> 1.472652e+03</td>\n",
+ " <td> 0.014727</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8096</th>\n",
+ " <td> SHETLAND ISLANDS</td>\n",
+ " <td> POLYGON ((905580.3658836306 2186021.103359194,...</td>\n",
+ " <td> 1.039571e+03</td>\n",
+ " <td> 0.010396</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8097</th>\n",
+ " <td> SHETLAND ISLANDS</td>\n",
+ " <td> POLYGON ((896424.9329914356 2115273.05111649, ...</td>\n",
+ " <td> 9.008782e+02</td>\n",
+ " <td> 0.009009</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8098</th>\n",
+ " <td> PURBECK DISTRICT</td>\n",
+ " <td> POLYGON ((772691.966850065 224916.3018375989, ...</td>\n",
+ " <td> 5.201352e+02</td>\n",
+ " <td> 0.005201</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8099</th>\n",
+ " <td> NA H-EILEANAN AN IAR</td>\n",
+ " <td> POLYGON ((230352.197006595 1631777.897044773, ...</td>\n",
+ " <td> 6.393868e+02</td>\n",
+ " <td> 0.006394</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8100</th>\n",
+ " <td> PURBECK DISTRICT</td>\n",
+ " <td> POLYGON ((772742.3068369001 224900.6930945357,...</td>\n",
+ " <td> 3.715238e+02</td>\n",
+ " <td> 0.003715</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8101</th>\n",
+ " <td> SEDGEMOOR DISTRICT</td>\n",
+ " <td> POLYGON ((683773.1663043755 349833.2314334279,...</td>\n",
+ " <td> 2.935639e+02</td>\n",
+ " <td> 0.002936</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>8102 rows \u00d7 4 columns</p>\n",
+ "</div>"
+ ],
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 15,
+ "text": [
+ " district_name \\\n",
+ "0 HIGHLAND \n",
+ "1 DUMFRIES AND GALLOWAY \n",
+ "2 ABERDEENSHIRE \n",
+ "3 PERTH AND KINROSS \n",
+ "4 POWYS - POWYS \n",
+ "5 NORTHUMBERLAND \n",
+ "6 SCOTTISH BORDERS \n",
+ "7 ARGYLL AND BUTE \n",
+ "8 CORNWALL \n",
+ "9 WILTSHIRE \n",
+ "10 SHROPSHIRE \n",
+ "11 GWYNEDD - GWYNEDD \n",
+ "12 SIR GAERFYRDDIN - CARMARTHENSHIRE \n",
+ "13 EAST RIDING OF YORKSHIRE \n",
+ "14 STIRLING \n",
+ "15 MORAY \n",
+ "16 COUNTY DURHAM \n",
+ "17 ANGUS \n",
+ "18 COUNTY OF HEREFORDSHIRE \n",
+ "19 EDEN DISTRICT \n",
+ "20 NA H-EILEANAN AN IAR \n",
+ "21 SIR CEREDIGION - CEREDIGION \n",
+ "22 SOUTH LANARKSHIRE \n",
+ "23 EAST LINDSEY DISTRICT \n",
+ "24 HIGHLAND \n",
+ "25 SIR BENFRO - PEMBROKESHIRE \n",
+ "26 SOUTH LAKELAND DISTRICT \n",
+ "27 RYEDALE DISTRICT \n",
+ "28 FIFE \n",
+ "29 RICHMONDSHIRE DISTRICT \n",
+ "... ... \n",
+ "8072 SHETLAND ISLANDS \n",
+ "8073 ARGYLL AND BUTE \n",
+ "8074 NA H-EILEANAN AN IAR \n",
+ "8075 SHETLAND ISLANDS \n",
+ "8076 SHETLAND ISLANDS \n",
+ "8077 ARGYLL AND BUTE \n",
+ "8078 HIGHLAND \n",
+ "8079 SHETLAND ISLANDS \n",
+ "8080 HIGHLAND \n",
+ "8081 PURBECK DISTRICT \n",
+ "8082 SHETLAND ISLANDS \n",
+ "8083 SHETLAND ISLANDS \n",
+ "8084 SHETLAND ISLANDS \n",
+ "8085 NA H-EILEANAN AN IAR \n",
+ "8086 SHETLAND ISLANDS \n",
+ "8087 NA H-EILEANAN AN IAR \n",
+ "8088 SHETLAND ISLANDS \n",
+ "8089 SHETLAND ISLANDS \n",
+ "8090 ARGYLL AND BUTE \n",
+ "8091 ARGYLL AND BUTE \n",
+ "8092 ARGYLL AND BUTE \n",
+ "8093 ARGYLL AND BUTE \n",
+ "8094 SHETLAND ISLANDS \n",
+ "8095 SHETLAND ISLANDS \n",
+ "8096 SHETLAND ISLANDS \n",
+ "8097 SHETLAND ISLANDS \n",
+ "8098 PURBECK DISTRICT \n",
+ "8099 NA H-EILEANAN AN IAR \n",
+ "8100 PURBECK DISTRICT \n",
+ "8101 SEDGEMOOR DISTRICT \n",
+ "\n",
+ " poly area_m \\\n",
+ "0 POLYGON ((453022.9949546538 1334399.614144568,... 8.392190e+10 \n",
+ "1 POLYGON ((680091.4599565335 1030818.007436962,... 1.956628e+10 \n",
+ "2 POLYGON ((596952.7870225685 1416976.709287949,... 2.149338e+10 \n",
+ "3 POLYGON ((593859.5746641977 1267760.827338345,... 1.765605e+10 \n",
+ "4 POLYGON ((678600.4708295433 468089.1021490712,... 1.386187e+10 \n",
+ "5 POLYGON ((762583.4010561701 991836.2235147879,... 1.531903e+10 \n",
+ "6 POLYGON ((720584.8560943112 1068968.406684903,... 1.477198e+10 \n",
+ "7 POLYGON ((507380.4262712146 1217867.74453005, ... 1.399497e+10 \n",
+ "8 POLYGON ((514154.2279896485 279864.7958902363,... 8.711619e+09 \n",
+ "9 POLYGON ((761052.7038207795 306594.3462469028,... 8.301948e+09 \n",
+ "10 POLYGON ((728563.1506659805 526763.51074808, 7... 8.652458e+09 \n",
+ "11 POLYGON ((632376.3813230731 628990.7100964524,... 6.972030e+09 \n",
+ "12 POLYGON ((596397.0861837791 432920.2025057105,... 6.205722e+09 \n",
+ "13 POLYGON ((916788.9167521703 839142.9016255857,... 6.498738e+09 \n",
+ "14 POLYGON ((572658.3710703934 1234154.716174939,... 7.261880e+09 \n",
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+ "\n",
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+ "8100 0.003715 \n",
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+ "\n",
+ "[8102 rows x 4 columns]"
+ ]
+ }
+ ],
+ "prompt_number": 15
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "# Plot a representative sample of accident points\n",
+ "m = crop_basemap([bds[1], bds[3]], [bds[0], bds[2]], shapes=['district'])\n",
+ "\n",
+ "map_points = pd.Series(\n",
+ " [Point(m(mapped_x, mapped_y)) for mapped_x, mapped_y in zip(accident_df['Longitude'], accident_df['Latitude'])])[::500]\n",
+ "accident_points = MultiPoint(list(map_points.values))\n",
+ "\n",
+ "# we don't need to pass points to m() because we calculated using map_points and shapefile polygons\n",
+ "dev = m.scatter(\n",
+ " [geom.x for geom in accident_points],\n",
+ " [geom.y for geom in accident_points],\n",
+ " 5, marker='o', lw=.25,\n",
+ " facecolor='#33ccff', edgecolor='w',\n",
+ " alpha=0.9, antialiased=True, zorder=3)\n",
+ "\n",
+ "plt.show()"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "display_data",
+ "png": 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80Z7XMOny5cv5+eefsbOzQ6VSER4ezrVr15g1axaff/45WVlZzJ07l507dwIo+2E+qlmz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\nbdsWhULxyFO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dST+5XM7x48dxc3MjNzeXq1evCvc1VE+A9ntYmym7Vrlq/vz59da01fNo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SuEhoYyaNAgAgMDRdk6OjoaFxcXLl++TGlpKf7+/pRa2NDwmRcptmyMtb6YK/4n0BQV8uyz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\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lSxfs7Oxo1qwZu3fvxrFtN3LGzMXPLJ9vu7qLfbwCt27dEoUmjI2NmTVrFqCbSMyfP188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\nEEKIu+O/FYcotXpK300AAAAASUVORK5CYII=\n",
+ "text": [
+ "<matplotlib.figure.Figure at 0x7f43fa64f898>"
+ ]
+ }
+ ],
+ "prompt_number": 25
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "map_points = pd.Series(\n",
+ " [Point(m(mapped_x, mapped_y)) for mapped_x, mapped_y in zip(accident_df['Longitude'], accident_df['Latitude'])])\n",
+ "all_accident_points = MultiPoint(list(map_points.values))\n",
+ "\n",
+ "districts_polygon = prep(MultiPolygon(list(df_map['poly'].values)))\n",
+ "# calculate points that fall within the London boundary\n",
+ "accident_points = list(filter(districts_polygon.contains, all_accident_points))"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 92,
+ "text": [
+ "[<shapely.geometry.point.Point at 0x7f43be8d8898>,\n",
+ " <shapely.geometry.point.Point at 0x7f43be8d87b8>,\n",
+ " <shapely.geometry.point.Point at 0x7f43be8d8710>,\n",
+ " <shapely.geometry.point.Point at 0x7f43be8d8630>,\n",
+ " <shapely.geometry.point.Point at 0x7f43be8d8588>,\n",
+ " <shapely.geometry.point.Point at 0x7f43be931f28>,\n",
+ " <shapely.geometry.point.Point at 0x7f43be931f98>,\n",
+ " <shapely.geometry.point.Point at 0x7f43be931ef0>,\n",
+ " <shapely.geometry.point.Point at 0x7f43be931d68>,\n",
+ " <shapely.geometry.point.Point at 0x7f43be931d30>,\n",
+ " <shapely.geometry.point.Point at 0x7f43be931da0>,\n",
+ " <shapely.geometry.point.Point at 0x7f43be931c88>,\n",
+ " <shapely.geometry.point.Point at 0x7f43be931be0>,\n",
+ " <shapely.geometry.point.Point at 0x7f43be931ba8>,\n",
+ " <shapely.geometry.point.Point at 0x7f43be931c18>,\n",
+ " <shapely.geometry.point.Point at 0x7f43be931b00>,\n",
+ " <shapely.geometry.point.Point at 0x7f43be931a58>,\n",
+ " <shapely.geometry.point.Point at 0x7f43be931a20>,\n",
+ " <shapely.geometry.point.Point at 0x7f43be931a90>,\n",
+ " <shapely.geometry.point.Point at 0x7f43be931978>,\n",
+ " <shapely.geometry.point.Point at 0x7f43be9318d0>,\n",
+ " <shapely.geometry.point.Point at 0x7f43be931898>,\n",
+ " <shapely.geometry.point.Point at 0x7f43be931908>,\n",
+ " <shapely.geometry.point.Point at 0x7f43be9317f0>,\n",
+ " <shapely.geometry.point.Point at 0x7f43be931748>,\n",
+ " <shapely.geometry.point.Point at 0x7f43be931710>,\n",
+ " <shapely.geometry.point.Point at 0x7f43be931780>,\n",
+ " <shapely.geometry.point.Point at 0x7f43be931668>,\n",
+ " <shapely.geometry.point.Point at 0x7f43be9315c0>,\n",
+ " <shapely.geometry.point.Point at 0x7f43be8d8940>,\n",
+ " <shapely.geometry.point.Point at 0x7f43be8d8a20>,\n",
+ " <shapely.geometry.point.Point at 0x7f43be8d8ac8>,\n",
+ " <shapely.geometry.point.Point at 0x7f43be8d8ba8>,\n",
+ " <shapely.geometry.point.Point at 0x7f43be8d8c50>,\n",
+ " <shapely.geometry.point.Point at 0x7f43be8d8d30>,\n",
+ " <shapely.geometry.point.Point at 0x7f43be8d8dd8>,\n",
+ " <shapely.geometry.point.Point at 0x7f43be8d8eb8>,\n",
+ " <shapely.geometry.point.Point at 0x7f43be8d8f60>,\n",
+ " <shapely.geometry.point.Point at 0x7f43be8d80f0>,\n",
+ " <shapely.geometry.point.Point at 0x7f43be8d8400>,\n",
+ " <shapely.geometry.point.Point at 0x7f43be8d8320>,\n",
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+ " ...]"
+ ]
+ }
+ ],
+ "prompt_number": 92
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "df_map['count'] = df_map['poly'].map(lambda x: int(len(list(filter(prep(x).contains, accident_points)))))\n",
+ "df_map['density_m'] = df_map['count'] / df_map['area_m']\n",
+ "df_map['density_km'] = df_map['count'] / df_map['area_km']\n",
+ "# it's easier to work with NaN values when classifying\n",
+ "df_map.replace(to_replace={'density_m': {0: np.nan}, 'density_km': {0: np.nan}}, inplace=True)\n",
+ "\n",
+ "df_map"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "html": [
+ "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>district_name</th>\n",
+ " <th>poly</th>\n",
+ " <th>area_m</th>\n",
+ " <th>area_km</th>\n",
+ " <th>count</th>\n",
+ " <th>density_m</th>\n",
+ " <th>density_km</th>\n",
+ " <th>patches</th>\n",
+ " <th>density_bin</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0 </th>\n",
+ " <td> HIGHLAND</td>\n",
+ " <td> POLYGON ((453022.9949546538 1334399.614144568,...</td>\n",
+ " <td> 8.392190e+10</td>\n",
+ " <td> 839219.049331</td>\n",
+ " <td> 428</td>\n",
+ " <td> 5.099980e-09</td>\n",
+ " <td> 0.000510</td>\n",
+ " <td> Poly((453023, 1.3344e+06) ...)</td>\n",
+ " <td> 1</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1 </th>\n",
+ " <td> DUMFRIES AND GALLOWAY</td>\n",
+ " <td> POLYGON ((680091.4599565335 1030818.007436962,...</td>\n",
+ " <td> 1.956628e+10</td>\n",
+ " <td> 195662.788542</td>\n",
+ " <td> 318</td>\n",
+ " <td> 1.625245e-08</td>\n",
+ " <td> 0.001625</td>\n",
+ " <td> Poly((680091, 1.03082e+06) ...)</td>\n",
+ " <td> 1</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2 </th>\n",
+ " <td> ABERDEENSHIRE</td>\n",
+ " <td> POLYGON ((596952.7870225685 1416976.709287949,...</td>\n",
+ " <td> 2.149338e+10</td>\n",
+ " <td> 214933.781889</td>\n",
+ " <td> 527</td>\n",
+ " <td> 2.451918e-08</td>\n",
+ " <td> 0.002452</td>\n",
+ " <td> Poly((596953, 1.41698e+06) ...)</td>\n",
+ " <td> 1</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3 </th>\n",
+ " <td> PERTH AND KINROSS</td>\n",
+ " <td> POLYGON ((593859.5746641977 1267760.827338345,...</td>\n",
+ " <td> 1.765605e+10</td>\n",
+ " <td> 176560.464428</td>\n",
+ " <td> 310</td>\n",
+ " <td> 1.755772e-08</td>\n",
+ " <td> 0.001756</td>\n",
+ " <td> Poly((593860, 1.26776e+06) ...)</td>\n",
+ " <td> 1</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4 </th>\n",
+ " <td> POWYS - POWYS</td>\n",
+ " <td> POLYGON ((678600.4708295433 468089.1021490712,...</td>\n",
+ " <td> 1.386187e+10</td>\n",
+ " <td> 138618.698686</td>\n",
+ " <td> 400</td>\n",
+ " <td> 2.885614e-08</td>\n",
+ " <td> 0.002886</td>\n",
+ " <td> Poly((678600, 468089) ...)</td>\n",
+ " <td> 1</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>5 </th>\n",
+ " <td> NORTHUMBERLAND</td>\n",
+ " <td> POLYGON ((762583.4010561701 991836.2235147879,...</td>\n",
+ " <td> 1.531903e+10</td>\n",
+ " <td> 153190.330671</td>\n",
+ " <td> 745</td>\n",
+ " <td> 4.863231e-08</td>\n",
+ " <td> 0.004863</td>\n",
+ " <td> Poly((762583, 991836) ...)</td>\n",
+ " <td> 1</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>6 </th>\n",
+ " <td> SCOTTISH BORDERS</td>\n",
+ " <td> POLYGON ((720584.8560943112 1068968.406684903,...</td>\n",
+ " <td> 1.477198e+10</td>\n",
+ " <td> 147719.756242</td>\n",
+ " <td> 263</td>\n",
+ " <td> 1.780398e-08</td>\n",
+ " <td> 0.001780</td>\n",
+ " <td> Poly((720585, 1.06897e+06) ...)</td>\n",
+ " <td> 1</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>7 </th>\n",
+ " <td> ARGYLL AND BUTE</td>\n",
+ " <td> POLYGON ((507380.4262712146 1217867.74453005, ...</td>\n",
+ " <td> 1.399497e+10</td>\n",
+ " <td> 139949.659251</td>\n",
+ " <td> 181</td>\n",
+ " <td> 1.293322e-08</td>\n",
+ " <td> 0.001293</td>\n",
+ " <td> Poly((507380, 1.21787e+06) ...)</td>\n",
+ " <td> 1</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8 </th>\n",
+ " <td> CORNWALL</td>\n",
+ " <td> POLYGON ((514154.2279896485 279864.7958902363,...</td>\n",
+ " <td> 8.711619e+09</td>\n",
+ " <td> 87116.191948</td>\n",
+ " <td> 1298</td>\n",
+ " <td> 1.489964e-07</td>\n",
+ " <td> 0.014900</td>\n",
+ " <td> Poly((514154, 279865) ...)</td>\n",
+ " <td> 1</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>9 </th>\n",
+ " <td> WILTSHIRE</td>\n",
+ " <td> POLYGON ((761052.7038207795 306594.3462469028,...</td>\n",
+ " <td> 8.301948e+09</td>\n",
+ " <td> 83019.482578</td>\n",
+ " <td> 995</td>\n",
+ " <td> 1.198514e-07</td>\n",
+ " <td> 0.011985</td>\n",
+ " <td> Poly((761053, 306594) ...)</td>\n",
+ " <td> 1</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>10 </th>\n",
+ " <td> SHROPSHIRE</td>\n",
+ " <td> POLYGON ((728563.1506659805 526763.51074808, 7...</td>\n",
+ " <td> 8.652458e+09</td>\n",
+ " <td> 86524.582061</td>\n",
+ " <td> 669</td>\n",
+ " <td> 7.731907e-08</td>\n",
+ " <td> 0.007732</td>\n",
+ " <td> Poly((728563, 526764) ...)</td>\n",
+ " <td> 1</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>11 </th>\n",
+ " <td> GWYNEDD - GWYNEDD</td>\n",
+ " <td> POLYGON ((632376.3813230731 628990.7100964524,...</td>\n",
+ " <td> 6.972030e+09</td>\n",
+ " <td> 69720.298938</td>\n",
+ " <td> 267</td>\n",
+ " <td> 3.829588e-08</td>\n",
+ " <td> 0.003830</td>\n",
+ " <td> Poly((632376, 628991) ...)</td>\n",
+ " <td> 1</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>12 </th>\n",
+ " <td> SIR GAERFYRDDIN - CARMARTHENSHIRE</td>\n",
+ " <td> POLYGON ((596397.0861837791 432920.2025057105,...</td>\n",
+ " <td> 6.205722e+09</td>\n",
+ " <td> 62057.215809</td>\n",
+ " <td> 478</td>\n",
+ " <td> 7.702569e-08</td>\n",
+ " <td> 0.007703</td>\n",
+ " <td> Poly((596397, 432920) ...)</td>\n",
+ " <td> 1</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>13 </th>\n",
+ " <td> EAST RIDING OF YORKSHIRE</td>\n",
+ " <td> POLYGON ((916788.9167521703 839142.9016255857,...</td>\n",
+ " <td> 6.498738e+09</td>\n",
+ " <td> 64987.376645</td>\n",
+ " <td> 731</td>\n",
+ " <td> 1.124834e-07</td>\n",
+ " <td> 0.011248</td>\n",
+ " <td> Poly((916789, 839143) ...)</td>\n",
+ " <td> 1</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>14 </th>\n",
+ " <td> STIRLING</td>\n",
+ " <td> POLYGON ((572658.3710703934 1234154.716174939,...</td>\n",
+ " <td> 7.261880e+09</td>\n",
+ " <td> 72618.798196</td>\n",
+ " <td> 212</td>\n",
+ " <td> 2.919354e-08</td>\n",
+ " <td> 0.002919</td>\n",
+ " <td> Poly((572658, 1.23415e+06) ...)</td>\n",
+ " <td> 1</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>15 </th>\n",
+ " <td> MORAY</td>\n",
+ " <td> POLYGON ((601322.3013901655 1559920.000911878,...</td>\n",
+ " <td> 7.708886e+09</td>\n",
+ " <td> 77088.862864</td>\n",
+ " <td> 127</td>\n",
+ " <td> 1.647449e-08</td>\n",
+ " <td> 0.001647</td>\n",
+ " <td> Poly((601322, 1.55992e+06) ...)</td>\n",
+ " <td> 1</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>16 </th>\n",
+ " <td> COUNTY DURHAM</td>\n",
+ " <td> POLYGON ((778359.1007445564 927911.3264134564,...</td>\n",
+ " <td> 6.655689e+09</td>\n",
+ " <td> 66556.888545</td>\n",
+ " <td> 1011</td>\n",
+ " <td> 1.519001e-07</td>\n",
+ " <td> 0.015190</td>\n",
+ " <td> Poly((778359, 927911) ...)</td>\n",
+ " <td> 1</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>17 </th>\n",
+ " <td> ANGUS</td>\n",
+ " <td> POLYGON ((644711.2252231543 1404498.388546951,...</td>\n",
+ " <td> 7.230678e+09</td>\n",
+ " <td> 72306.780060</td>\n",
+ " <td> 200</td>\n",
+ " <td> 2.765992e-08</td>\n",
+ " <td> 0.002766</td>\n",
+ " <td> Poly((644711, 1.4045e+06) ...)</td>\n",
+ " <td> 1</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>18 </th>\n",
+ " <td> COUNTY OF HEREFORDSHIRE</td>\n",
+ " <td> POLYGON ((724984.8167208728 439794.06777108, 7...</td>\n",
+ " <td> 5.759024e+09</td>\n",
+ " <td> 57590.239282</td>\n",
+ " <td> 426</td>\n",
+ " <td> 7.397087e-08</td>\n",
+ " <td> 0.007397</td>\n",
+ " <td> Poly((724985, 439794) ...)</td>\n",
+ " <td> 1</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>19 </th>\n",
+ " <td> EDEN DISTRICT</td>\n",
+ " <td> POLYGON ((756398.3439383211 908399.6418744838,...</td>\n",
+ " <td> 6.406463e+09</td>\n",
+ " <td> 64064.632389</td>\n",
+ " <td> 165</td>\n",
+ " <td> 2.575524e-08</td>\n",
+ " <td> 0.002576</td>\n",
+ " <td> Poly((756398, 908400) ...)</td>\n",
+ " <td> 1</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>20 </th>\n",
+ " <td> NA H-EILEANAN AN IAR</td>\n",
+ " <td> POLYGON ((228643.9251664635 1602897.98406311, ...</td>\n",
+ " <td> 7.670634e+09</td>\n",
+ " <td> 76706.341382</td>\n",
+ " <td> 18</td>\n",
+ " <td> 2.346612e-09</td>\n",
+ " <td> 0.000235</td>\n",
+ " <td> Poly((228644, 1.6029e+06) ...)</td>\n",
+ " <td> 1</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>21 </th>\n",
+ " <td> SIR CEREDIGION - CEREDIGION</td>\n",
+ " <td> POLYGON ((583091.7324674798 573049.3984661456,...</td>\n",
+ " <td> 4.748700e+09</td>\n",
+ " <td> 47487.000439</td>\n",
+ " <td> 209</td>\n",
+ " <td> 4.401204e-08</td>\n",
+ " <td> 0.004401</td>\n",
+ " <td> Poly((583092, 573049) ...)</td>\n",
+ " <td> 1</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>22 </th>\n",
+ " <td> SOUTH LANARKSHIRE</td>\n",
+ " <td> POLYGON ((629671.9238179559 1112583.1630399, 6...</td>\n",
+ " <td> 5.537931e+09</td>\n",
+ " <td> 55379.307301</td>\n",
+ " <td> 451</td>\n",
+ " <td> 8.143836e-08</td>\n",
+ " <td> 0.008144</td>\n",
+ " <td> Poly((629672, 1.11258e+06) ...)</td>\n",
+ " <td> 1</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>23 </th>\n",
+ " <td> EAST LINDSEY DISTRICT</td>\n",
+ " <td> POLYGON ((997866.8406633221 666659.8393354705,...</td>\n",
+ " <td> 4.910603e+09</td>\n",
+ " <td> 49106.026430</td>\n",
+ " <td> 510</td>\n",
+ " <td> 1.038569e-07</td>\n",
+ " <td> 0.010386</td>\n",
+ " <td> Poly((997867, 666660) ...)</td>\n",
+ " <td> 1</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>24 </th>\n",
+ " <td> HIGHLAND</td>\n",
+ " <td> POLYGON ((318012.2830360706 1462936.305708727,...</td>\n",
+ " <td> 5.593534e+09</td>\n",
+ " <td> 55935.337209</td>\n",
+ " <td> 24</td>\n",
+ " <td> 4.290669e-09</td>\n",
+ " <td> 0.000429</td>\n",
+ " <td> Poly((318012, 1.46294e+06) ...)</td>\n",
+ " <td> 1</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>25 </th>\n",
+ " <td> SIR BENFRO - PEMBROKESHIRE</td>\n",
+ " <td> POLYGON ((504376.0110890038 481646.9451451311,...</td>\n",
+ " <td> 4.207126e+09</td>\n",
+ " <td> 42071.264805</td>\n",
+ " <td> 322</td>\n",
+ " <td> 7.653680e-08</td>\n",
+ " <td> 0.007654</td>\n",
+ " <td> Poly((504376, 481647) ...)</td>\n",
+ " <td> 1</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>26 </th>\n",
+ " <td> SOUTH LAKELAND DISTRICT</td>\n",
+ " <td> POLYGON ((704205.27171306 873733.8011977896, 7...</td>\n",
+ " <td> 4.550982e+09</td>\n",
+ " <td> 45509.818320</td>\n",
+ " <td> 265</td>\n",
+ " <td> 5.822919e-08</td>\n",
+ " <td> 0.005823</td>\n",
+ " <td> Poly((704205, 873734) ...)</td>\n",
+ " <td> 1</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>27 </th>\n",
+ " <td> RYEDALE DISTRICT</td>\n",
+ " <td> POLYGON ((901842.0566101422 851464.2557462538,...</td>\n",
+ " <td> 4.388841e+09</td>\n",
+ " <td> 43888.413213</td>\n",
+ " <td> 162</td>\n",
+ " <td> 3.691179e-08</td>\n",
+ " <td> 0.003691</td>\n",
+ " <td> Poly((901842, 851464) ...)</td>\n",
+ " <td> 1</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>28 </th>\n",
+ " <td> FIFE</td>\n",
+ " <td> POLYGON ((604174.5251877202 1244670.029207176,...</td>\n",
+ " <td> 4.268589e+09</td>\n",
+ " <td> 42685.885763</td>\n",
+ " <td> 420</td>\n",
+ " <td> 9.839318e-08</td>\n",
+ " <td> 0.009839</td>\n",
+ " <td> Poly((604175, 1.24467e+06) ...)</td>\n",
+ " <td> 1</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>29 </th>\n",
+ " <td> RICHMONDSHIRE DISTRICT</td>\n",
+ " <td> POLYGON ((796785.6245159419 873521.9708775803,...</td>\n",
+ " <td> 3.869989e+09</td>\n",
+ " <td> 38699.893446</td>\n",
+ " <td> 161</td>\n",
+ " <td> 4.160218e-08</td>\n",
+ " <td> 0.004160</td>\n",
+ " <td> Poly((796786, 873522) ...)</td>\n",
+ " <td> 1</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>...</th>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8072</th>\n",
+ " <td> SHETLAND ISLANDS</td>\n",
+ " <td> POLYGON ((891886.298677379 2123023.473961114, ...</td>\n",
+ " <td> 1.969131e+03</td>\n",
+ " <td> 0.019691</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((891886, 2.12302e+06) ...)</td>\n",
+ " <td> 7</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8073</th>\n",
+ " <td> ARGYLL AND BUTE</td>\n",
+ " <td> POLYGON ((317203.1010889043 1297360.597179405,...</td>\n",
+ " <td> 1.574788e+03</td>\n",
+ " <td> 0.015748</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((317203, 1.29736e+06) ...)</td>\n",
+ " <td> 7</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8074</th>\n",
+ " <td> NA H-EILEANAN AN IAR</td>\n",
+ " <td> POLYGON ((200628.6176624371 1541685.068001645,...</td>\n",
+ " <td> 1.675879e+03</td>\n",
+ " <td> 0.016759</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((200629, 1.54169e+06) ...)</td>\n",
+ " <td> 7</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8075</th>\n",
+ " <td> SHETLAND ISLANDS</td>\n",
+ " <td> POLYGON ((861646.2467316808 2207132.666131773,...</td>\n",
+ " <td> 1.998240e+03</td>\n",
+ " <td> 0.019982</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((861646, 2.20713e+06) ...)</td>\n",
+ " <td> 7</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8076</th>\n",
+ " <td> SHETLAND ISLANDS</td>\n",
+ " <td> POLYGON ((839321.9171657359 2179967.300611307,...</td>\n",
+ " <td> 1.960998e+03</td>\n",
+ " <td> 0.019610</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((839322, 2.17997e+06) ...)</td>\n",
+ " <td> 7</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8077</th>\n",
+ " <td> ARGYLL AND BUTE</td>\n",
+ " <td> POLYGON ((327955.5959627344 1322645.151498831,...</td>\n",
+ " <td> 1.557615e+03</td>\n",
+ " <td> 0.015576</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((327956, 1.32265e+06) ...)</td>\n",
+ " <td> 7</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8078</th>\n",
+ " <td> HIGHLAND</td>\n",
+ " <td> POLYGON ((489853.1909290723 1762304.642898867,...</td>\n",
+ " <td> 1.741845e+03</td>\n",
+ " <td> 0.017418</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((489853, 1.7623e+06) ...)</td>\n",
+ " <td> 7</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8079</th>\n",
+ " <td> SHETLAND ISLANDS</td>\n",
+ " <td> POLYGON ((791246.5069960889 2103895.071188306,...</td>\n",
+ " <td> 1.894740e+03</td>\n",
+ " <td> 0.018947</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((791247, 2.1039e+06) ...)</td>\n",
+ " <td> 7</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8080</th>\n",
+ " <td> HIGHLAND</td>\n",
+ " <td> POLYGON ((406831.2563920435 1633417.601240199,...</td>\n",
+ " <td> 1.666478e+03</td>\n",
+ " <td> 0.016665</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((406831, 1.63342e+06) ...)</td>\n",
+ " <td> 7</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8081</th>\n",
+ " <td> PURBECK DISTRICT</td>\n",
+ " <td> POLYGON ((772621.3457197307 224881.419415473, ...</td>\n",
+ " <td> 1.144298e+03</td>\n",
+ " <td> 0.011443</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((772621, 224881) ...)</td>\n",
+ " <td> 7</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8082</th>\n",
+ " <td> SHETLAND ISLANDS</td>\n",
+ " <td> POLYGON ((789183.1314421133 2104190.012253269,...</td>\n",
+ " <td> 1.854703e+03</td>\n",
+ " <td> 0.018547</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((789183, 2.10419e+06) ...)</td>\n",
+ " <td> 7</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8083</th>\n",
+ " <td> SHETLAND ISLANDS</td>\n",
+ " <td> POLYGON ((855646.9639732213 2104510.253651877,...</td>\n",
+ " <td> 1.830707e+03</td>\n",
+ " <td> 0.018307</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((855647, 2.10451e+06) ...)</td>\n",
+ " <td> 7</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8084</th>\n",
+ " <td> SHETLAND ISLANDS</td>\n",
+ " <td> POLYGON ((863715.9332395556 2206876.078790086,...</td>\n",
+ " <td> 1.880317e+03</td>\n",
+ " <td> 0.018803</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((863716, 2.20688e+06) ...)</td>\n",
+ " <td> 7</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8085</th>\n",
+ " <td> NA H-EILEANAN AN IAR</td>\n",
+ " <td> POLYGON ((229792.0789476208 1631739.196899181,...</td>\n",
+ " <td> 1.589619e+03</td>\n",
+ " <td> 0.015896</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((229792, 1.63174e+06) ...)</td>\n",
+ " <td> 7</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8086</th>\n",
+ " <td> SHETLAND ISLANDS</td>\n",
+ " <td> POLYGON ((878271.4421611639 2039394.281684457,...</td>\n",
+ " <td> 1.713754e+03</td>\n",
+ " <td> 0.017138</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((878271, 2.03939e+06) ...)</td>\n",
+ " <td> 7</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8087</th>\n",
+ " <td> NA H-EILEANAN AN IAR</td>\n",
+ " <td> POLYGON ((272345.6315960943 1706185.848445966,...</td>\n",
+ " <td> 1.557054e+03</td>\n",
+ " <td> 0.015571</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((272346, 1.70619e+06) ...)</td>\n",
+ " <td> 7</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8088</th>\n",
+ " <td> SHETLAND ISLANDS</td>\n",
+ " <td> POLYGON ((860423.9154705534 2208376.456278435,...</td>\n",
+ " <td> 1.775677e+03</td>\n",
+ " <td> 0.017757</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((860424, 2.20838e+06) ...)</td>\n",
+ " <td> 7</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8089</th>\n",
+ " <td> SHETLAND ISLANDS</td>\n",
+ " <td> POLYGON ((933402.4011343222 2248241.655814567,...</td>\n",
+ " <td> 1.794969e+03</td>\n",
+ " <td> 0.017950</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((933402, 2.24824e+06) ...)</td>\n",
+ " <td> 7</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8090</th>\n",
+ " <td> ARGYLL AND BUTE</td>\n",
+ " <td> POLYGON ((306541.9881210338 1297302.495227072,...</td>\n",
+ " <td> 1.382048e+03</td>\n",
+ " <td> 0.013820</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((306542, 1.2973e+06) ...)</td>\n",
+ " <td> 7</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8091</th>\n",
+ " <td> ARGYLL AND BUTE</td>\n",
+ " <td> POLYGON ((309303.8707154305 1287486.683061615,...</td>\n",
+ " <td> 1.355942e+03</td>\n",
+ " <td> 0.013559</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((309304, 1.28749e+06) ...)</td>\n",
+ " <td> 7</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8092</th>\n",
+ " <td> ARGYLL AND BUTE</td>\n",
+ " <td> POLYGON ((340373.3670206967 1323634.124490729,...</td>\n",
+ " <td> 1.346282e+03</td>\n",
+ " <td> 0.013463</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((340373, 1.32363e+06) ...)</td>\n",
+ " <td> 7</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8093</th>\n",
+ " <td> ARGYLL AND BUTE</td>\n",
+ " <td> POLYGON ((347224.1139650308 1352772.485025928,...</td>\n",
+ " <td> 1.310633e+03</td>\n",
+ " <td> 0.013106</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((347224, 1.35277e+06) ...)</td>\n",
+ " <td> 7</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8094</th>\n",
+ " <td> SHETLAND ISLANDS</td>\n",
+ " <td> POLYGON ((839349.7269818566 2179875.919776796,...</td>\n",
+ " <td> 1.599934e+03</td>\n",
+ " <td> 0.015999</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((839350, 2.17988e+06) ...)</td>\n",
+ " <td> 7</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8095</th>\n",
+ " <td> SHETLAND ISLANDS</td>\n",
+ " <td> POLYGON ((874091.0320706547 2215705.558530343,...</td>\n",
+ " <td> 1.472652e+03</td>\n",
+ " <td> 0.014727</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((874091, 2.21571e+06) ...)</td>\n",
+ " <td> 7</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8096</th>\n",
+ " <td> SHETLAND ISLANDS</td>\n",
+ " <td> POLYGON ((905580.3658836306 2186021.103359194,...</td>\n",
+ " <td> 1.039571e+03</td>\n",
+ " <td> 0.010396</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((905580, 2.18602e+06) ...)</td>\n",
+ " <td> 7</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8097</th>\n",
+ " <td> SHETLAND ISLANDS</td>\n",
+ " <td> POLYGON ((896424.9329914356 2115273.05111649, ...</td>\n",
+ " <td> 9.008782e+02</td>\n",
+ " <td> 0.009009</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((896425, 2.11527e+06) ...)</td>\n",
+ " <td> 7</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8098</th>\n",
+ " <td> PURBECK DISTRICT</td>\n",
+ " <td> POLYGON ((772691.966850065 224916.3018375989, ...</td>\n",
+ " <td> 5.201352e+02</td>\n",
+ " <td> 0.005201</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((772692, 224916) ...)</td>\n",
+ " <td> 7</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8099</th>\n",
+ " <td> NA H-EILEANAN AN IAR</td>\n",
+ " <td> POLYGON ((230352.197006595 1631777.897044773, ...</td>\n",
+ " <td> 6.393868e+02</td>\n",
+ " <td> 0.006394</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((230352, 1.63178e+06) ...)</td>\n",
+ " <td> 7</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8100</th>\n",
+ " <td> PURBECK DISTRICT</td>\n",
+ " <td> POLYGON ((772742.3068369001 224900.6930945357,...</td>\n",
+ " <td> 3.715238e+02</td>\n",
+ " <td> 0.003715</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((772742, 224901) ...)</td>\n",
+ " <td> 7</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8101</th>\n",
+ " <td> SEDGEMOOR DISTRICT</td>\n",
+ " <td> POLYGON ((683773.1663043755 349833.2314334279,...</td>\n",
+ " <td> 2.935639e+02</td>\n",
+ " <td> 0.002936</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((683773, 349833) ...)</td>\n",
+ " <td> 7</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>8102 rows \u00d7 9 columns</p>\n",
+ "</div>"
+ ],
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 93,
+ "text": [
+ " district_name \\\n",
+ "0 HIGHLAND \n",
+ "1 DUMFRIES AND GALLOWAY \n",
+ "2 ABERDEENSHIRE \n",
+ "3 PERTH AND KINROSS \n",
+ "4 POWYS - POWYS \n",
+ "5 NORTHUMBERLAND \n",
+ "6 SCOTTISH BORDERS \n",
+ "7 ARGYLL AND BUTE \n",
+ "8 CORNWALL \n",
+ "9 WILTSHIRE \n",
+ "10 SHROPSHIRE \n",
+ "11 GWYNEDD - GWYNEDD \n",
+ "12 SIR GAERFYRDDIN - CARMARTHENSHIRE \n",
+ "13 EAST RIDING OF YORKSHIRE \n",
+ "14 STIRLING \n",
+ "15 MORAY \n",
+ "16 COUNTY DURHAM \n",
+ "17 ANGUS \n",
+ "18 COUNTY OF HEREFORDSHIRE \n",
+ "19 EDEN DISTRICT \n",
+ "20 NA H-EILEANAN AN IAR \n",
+ "21 SIR CEREDIGION - CEREDIGION \n",
+ "22 SOUTH LANARKSHIRE \n",
+ "23 EAST LINDSEY DISTRICT \n",
+ "24 HIGHLAND \n",
+ "25 SIR BENFRO - PEMBROKESHIRE \n",
+ "26 SOUTH LAKELAND DISTRICT \n",
+ "27 RYEDALE DISTRICT \n",
+ "28 FIFE \n",
+ "29 RICHMONDSHIRE DISTRICT \n",
+ "... ... \n",
+ "8072 SHETLAND ISLANDS \n",
+ "8073 ARGYLL AND BUTE \n",
+ "8074 NA H-EILEANAN AN IAR \n",
+ "8075 SHETLAND ISLANDS \n",
+ "8076 SHETLAND ISLANDS \n",
+ "8077 ARGYLL AND BUTE \n",
+ "8078 HIGHLAND \n",
+ "8079 SHETLAND ISLANDS \n",
+ "8080 HIGHLAND \n",
+ "8081 PURBECK DISTRICT \n",
+ "8082 SHETLAND ISLANDS \n",
+ "8083 SHETLAND ISLANDS \n",
+ "8084 SHETLAND ISLANDS \n",
+ "8085 NA H-EILEANAN AN IAR \n",
+ "8086 SHETLAND ISLANDS \n",
+ "8087 NA H-EILEANAN AN IAR \n",
+ "8088 SHETLAND ISLANDS \n",
+ "8089 SHETLAND ISLANDS \n",
+ "8090 ARGYLL AND BUTE \n",
+ "8091 ARGYLL AND BUTE \n",
+ "8092 ARGYLL AND BUTE \n",
+ "8093 ARGYLL AND BUTE \n",
+ "8094 SHETLAND ISLANDS \n",
+ "8095 SHETLAND ISLANDS \n",
+ "8096 SHETLAND ISLANDS \n",
+ "8097 SHETLAND ISLANDS \n",
+ "8098 PURBECK DISTRICT \n",
+ "8099 NA H-EILEANAN AN IAR \n",
+ "8100 PURBECK DISTRICT \n",
+ "8101 SEDGEMOOR DISTRICT \n",
+ "\n",
+ " poly area_m \\\n",
+ "0 POLYGON ((453022.9949546538 1334399.614144568,... 8.392190e+10 \n",
+ "1 POLYGON ((680091.4599565335 1030818.007436962,... 1.956628e+10 \n",
+ "2 POLYGON ((596952.7870225685 1416976.709287949,... 2.149338e+10 \n",
+ "3 POLYGON ((593859.5746641977 1267760.827338345,... 1.765605e+10 \n",
+ "4 POLYGON ((678600.4708295433 468089.1021490712,... 1.386187e+10 \n",
+ "5 POLYGON ((762583.4010561701 991836.2235147879,... 1.531903e+10 \n",
+ "6 POLYGON ((720584.8560943112 1068968.406684903,... 1.477198e+10 \n",
+ "7 POLYGON ((507380.4262712146 1217867.74453005, ... 1.399497e+10 \n",
+ "8 POLYGON ((514154.2279896485 279864.7958902363,... 8.711619e+09 \n",
+ "9 POLYGON ((761052.7038207795 306594.3462469028,... 8.301948e+09 \n",
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+ "12 POLYGON ((596397.0861837791 432920.2025057105,... 6.205722e+09 \n",
+ "13 POLYGON ((916788.9167521703 839142.9016255857,... 6.498738e+09 \n",
+ "14 POLYGON ((572658.3710703934 1234154.716174939,... 7.261880e+09 \n",
+ "15 POLYGON ((601322.3013901655 1559920.000911878,... 7.708886e+09 \n",
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+ "18 POLYGON ((724984.8167208728 439794.06777108, 7... 5.759024e+09 \n",
+ "19 POLYGON ((756398.3439383211 908399.6418744838,... 6.406463e+09 \n",
+ "20 POLYGON ((228643.9251664635 1602897.98406311, ... 7.670634e+09 \n",
+ "21 POLYGON ((583091.7324674798 573049.3984661456,... 4.748700e+09 \n",
+ "22 POLYGON ((629671.9238179559 1112583.1630399, 6... 5.537931e+09 \n",
+ "23 POLYGON ((997866.8406633221 666659.8393354705,... 4.910603e+09 \n",
+ "24 POLYGON ((318012.2830360706 1462936.305708727,... 5.593534e+09 \n",
+ "25 POLYGON ((504376.0110890038 481646.9451451311,... 4.207126e+09 \n",
+ "26 POLYGON ((704205.27171306 873733.8011977896, 7... 4.550982e+09 \n",
+ "27 POLYGON ((901842.0566101422 851464.2557462538,... 4.388841e+09 \n",
+ "28 POLYGON ((604174.5251877202 1244670.029207176,... 4.268589e+09 \n",
+ "29 POLYGON ((796785.6245159419 873521.9708775803,... 3.869989e+09 \n",
+ "... ... ... \n",
+ "8072 POLYGON ((891886.298677379 2123023.473961114, ... 1.969131e+03 \n",
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+ "8077 POLYGON ((327955.5959627344 1322645.151498831,... 1.557615e+03 \n",
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+ "8079 POLYGON ((791246.5069960889 2103895.071188306,... 1.894740e+03 \n",
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+ "8082 POLYGON ((789183.1314421133 2104190.012253269,... 1.854703e+03 \n",
+ "8083 POLYGON ((855646.9639732213 2104510.253651877,... 1.830707e+03 \n",
+ "8084 POLYGON ((863715.9332395556 2206876.078790086,... 1.880317e+03 \n",
+ "8085 POLYGON ((229792.0789476208 1631739.196899181,... 1.589619e+03 \n",
+ "8086 POLYGON ((878271.4421611639 2039394.281684457,... 1.713754e+03 \n",
+ "8087 POLYGON ((272345.6315960943 1706185.848445966,... 1.557054e+03 \n",
+ "8088 POLYGON ((860423.9154705534 2208376.456278435,... 1.775677e+03 \n",
+ "8089 POLYGON ((933402.4011343222 2248241.655814567,... 1.794969e+03 \n",
+ "8090 POLYGON ((306541.9881210338 1297302.495227072,... 1.382048e+03 \n",
+ "8091 POLYGON ((309303.8707154305 1287486.683061615,... 1.355942e+03 \n",
+ "8092 POLYGON ((340373.3670206967 1323634.124490729,... 1.346282e+03 \n",
+ "8093 POLYGON ((347224.1139650308 1352772.485025928,... 1.310633e+03 \n",
+ "8094 POLYGON ((839349.7269818566 2179875.919776796,... 1.599934e+03 \n",
+ "8095 POLYGON ((874091.0320706547 2215705.558530343,... 1.472652e+03 \n",
+ "8096 POLYGON ((905580.3658836306 2186021.103359194,... 1.039571e+03 \n",
+ "8097 POLYGON ((896424.9329914356 2115273.05111649, ... 9.008782e+02 \n",
+ "8098 POLYGON ((772691.966850065 224916.3018375989, ... 5.201352e+02 \n",
+ "8099 POLYGON ((230352.197006595 1631777.897044773, ... 6.393868e+02 \n",
+ "8100 POLYGON ((772742.3068369001 224900.6930945357,... 3.715238e+02 \n",
+ "8101 POLYGON ((683773.1663043755 349833.2314334279,... 2.935639e+02 \n",
+ "\n",
+ " area_km count density_m density_km \\\n",
+ "0 839219.049331 428 5.099980e-09 0.000510 \n",
+ "1 195662.788542 318 1.625245e-08 0.001625 \n",
+ "2 214933.781889 527 2.451918e-08 0.002452 \n",
+ "3 176560.464428 310 1.755772e-08 0.001756 \n",
+ "4 138618.698686 400 2.885614e-08 0.002886 \n",
+ "5 153190.330671 745 4.863231e-08 0.004863 \n",
+ "6 147719.756242 263 1.780398e-08 0.001780 \n",
+ "7 139949.659251 181 1.293322e-08 0.001293 \n",
+ "8 87116.191948 1298 1.489964e-07 0.014900 \n",
+ "9 83019.482578 995 1.198514e-07 0.011985 \n",
+ "10 86524.582061 669 7.731907e-08 0.007732 \n",
+ "11 69720.298938 267 3.829588e-08 0.003830 \n",
+ "12 62057.215809 478 7.702569e-08 0.007703 \n",
+ "13 64987.376645 731 1.124834e-07 0.011248 \n",
+ "14 72618.798196 212 2.919354e-08 0.002919 \n",
+ "15 77088.862864 127 1.647449e-08 0.001647 \n",
+ "16 66556.888545 1011 1.519001e-07 0.015190 \n",
+ "17 72306.780060 200 2.765992e-08 0.002766 \n",
+ "18 57590.239282 426 7.397087e-08 0.007397 \n",
+ "19 64064.632389 165 2.575524e-08 0.002576 \n",
+ "20 76706.341382 18 2.346612e-09 0.000235 \n",
+ "21 47487.000439 209 4.401204e-08 0.004401 \n",
+ "22 55379.307301 451 8.143836e-08 0.008144 \n",
+ "23 49106.026430 510 1.038569e-07 0.010386 \n",
+ "24 55935.337209 24 4.290669e-09 0.000429 \n",
+ "25 42071.264805 322 7.653680e-08 0.007654 \n",
+ "26 45509.818320 265 5.822919e-08 0.005823 \n",
+ "27 43888.413213 162 3.691179e-08 0.003691 \n",
+ "28 42685.885763 420 9.839318e-08 0.009839 \n",
+ "29 38699.893446 161 4.160218e-08 0.004160 \n",
+ "... ... ... ... ... \n",
+ "8072 0.019691 0 NaN NaN \n",
+ "8073 0.015748 0 NaN NaN \n",
+ "8074 0.016759 0 NaN NaN \n",
+ "8075 0.019982 0 NaN NaN \n",
+ "8076 0.019610 0 NaN NaN \n",
+ "8077 0.015576 0 NaN NaN \n",
+ "8078 0.017418 0 NaN NaN \n",
+ "8079 0.018947 0 NaN NaN \n",
+ "8080 0.016665 0 NaN NaN \n",
+ "8081 0.011443 0 NaN NaN \n",
+ "8082 0.018547 0 NaN NaN \n",
+ "8083 0.018307 0 NaN NaN \n",
+ "8084 0.018803 0 NaN NaN \n",
+ "8085 0.015896 0 NaN NaN \n",
+ "8086 0.017138 0 NaN NaN \n",
+ "8087 0.015571 0 NaN NaN \n",
+ "8088 0.017757 0 NaN NaN \n",
+ "8089 0.017950 0 NaN NaN \n",
+ "8090 0.013820 0 NaN NaN \n",
+ "8091 0.013559 0 NaN NaN \n",
+ "8092 0.013463 0 NaN NaN \n",
+ "8093 0.013106 0 NaN NaN \n",
+ "8094 0.015999 0 NaN NaN \n",
+ "8095 0.014727 0 NaN NaN \n",
+ "8096 0.010396 0 NaN NaN \n",
+ "8097 0.009009 0 NaN NaN \n",
+ "8098 0.005201 0 NaN NaN \n",
+ "8099 0.006394 0 NaN NaN \n",
+ "8100 0.003715 0 NaN NaN \n",
+ "8101 0.002936 0 NaN NaN \n",
+ "\n",
+ " patches density_bin \n",
+ "0 Poly((453023, 1.3344e+06) ...) 1 \n",
+ "1 Poly((680091, 1.03082e+06) ...) 1 \n",
+ "2 Poly((596953, 1.41698e+06) ...) 1 \n",
+ "3 Poly((593860, 1.26776e+06) ...) 1 \n",
+ "4 Poly((678600, 468089) ...) 1 \n",
+ "5 Poly((762583, 991836) ...) 1 \n",
+ "6 Poly((720585, 1.06897e+06) ...) 1 \n",
+ "7 Poly((507380, 1.21787e+06) ...) 1 \n",
+ "8 Poly((514154, 279865) ...) 1 \n",
+ "9 Poly((761053, 306594) ...) 1 \n",
+ "10 Poly((728563, 526764) ...) 1 \n",
+ "11 Poly((632376, 628991) ...) 1 \n",
+ "12 Poly((596397, 432920) ...) 1 \n",
+ "13 Poly((916789, 839143) ...) 1 \n",
+ "14 Poly((572658, 1.23415e+06) ...) 1 \n",
+ "15 Poly((601322, 1.55992e+06) ...) 1 \n",
+ "16 Poly((778359, 927911) ...) 1 \n",
+ "17 Poly((644711, 1.4045e+06) ...) 1 \n",
+ "18 Poly((724985, 439794) ...) 1 \n",
+ "19 Poly((756398, 908400) ...) 1 \n",
+ "20 Poly((228644, 1.6029e+06) ...) 1 \n",
+ "21 Poly((583092, 573049) ...) 1 \n",
+ "22 Poly((629672, 1.11258e+06) ...) 1 \n",
+ "23 Poly((997867, 666660) ...) 1 \n",
+ "24 Poly((318012, 1.46294e+06) ...) 1 \n",
+ "25 Poly((504376, 481647) ...) 1 \n",
+ "26 Poly((704205, 873734) ...) 1 \n",
+ "27 Poly((901842, 851464) ...) 1 \n",
+ "28 Poly((604175, 1.24467e+06) ...) 1 \n",
+ "29 Poly((796786, 873522) ...) 1 \n",
+ "... ... ... \n",
+ "8072 Poly((891886, 2.12302e+06) ...) 7 \n",
+ "8073 Poly((317203, 1.29736e+06) ...) 7 \n",
+ "8074 Poly((200629, 1.54169e+06) ...) 7 \n",
+ "8075 Poly((861646, 2.20713e+06) ...) 7 \n",
+ "8076 Poly((839322, 2.17997e+06) ...) 7 \n",
+ "8077 Poly((327956, 1.32265e+06) ...) 7 \n",
+ "8078 Poly((489853, 1.7623e+06) ...) 7 \n",
+ "8079 Poly((791247, 2.1039e+06) ...) 7 \n",
+ "8080 Poly((406831, 1.63342e+06) ...) 7 \n",
+ "8081 Poly((772621, 224881) ...) 7 \n",
+ "8082 Poly((789183, 2.10419e+06) ...) 7 \n",
+ "8083 Poly((855647, 2.10451e+06) ...) 7 \n",
+ "8084 Poly((863716, 2.20688e+06) ...) 7 \n",
+ "8085 Poly((229792, 1.63174e+06) ...) 7 \n",
+ "8086 Poly((878271, 2.03939e+06) ...) 7 \n",
+ "8087 Poly((272346, 1.70619e+06) ...) 7 \n",
+ "8088 Poly((860424, 2.20838e+06) ...) 7 \n",
+ "8089 Poly((933402, 2.24824e+06) ...) 7 \n",
+ "8090 Poly((306542, 1.2973e+06) ...) 7 \n",
+ "8091 Poly((309304, 1.28749e+06) ...) 7 \n",
+ "8092 Poly((340373, 1.32363e+06) ...) 7 \n",
+ "8093 Poly((347224, 1.35277e+06) ...) 7 \n",
+ "8094 Poly((839350, 2.17988e+06) ...) 7 \n",
+ "8095 Poly((874091, 2.21571e+06) ...) 7 \n",
+ "8096 Poly((905580, 2.18602e+06) ...) 7 \n",
+ "8097 Poly((896425, 2.11527e+06) ...) 7 \n",
+ "8098 Poly((772692, 224916) ...) 7 \n",
+ "8099 Poly((230352, 1.63178e+06) ...) 7 \n",
+ "8100 Poly((772742, 224901) ...) 7 \n",
+ "8101 Poly((683773, 349833) ...) 7 \n",
+ "\n",
+ "[8102 rows x 9 columns]"
+ ]
+ }
+ ],
+ "prompt_number": 93
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "# Produce six classes for accident density: reserve class 0 for regions with no accidents.\n",
+ "\n",
+ "density_values = sorted(df_map[df_map['density_km'].notnull()]['density_km'].values)\n",
+ "\n",
+ "gap = int(len(density_values) / 6)\n",
+ "thresholds = [0] + [density_values[i] for i in range(1, len(density_values), gap)]\n",
+ "\n",
+ "bins = [sum((0, 1)[density > t] for t in thresholds) \n",
+ " for density in df_map[df_map['density_km'].notnull()]['density_km'].values]\n",
+ "bins"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 106,
+ "text": [
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+ " 5,\n",
+ " 7]"
+ ]
+ }
+ ],
+ "prompt_number": 106
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "density_bins = pd.DataFrame({'density_bin': bins})\n",
+ "\n",
+ "if 'density_bin' in df_map.columns.values:\n",
+ " df_map.drop('density_bin', axis=1, inplace=True)\n",
+ "df_map = df_map.join(density_bins)\n",
+ "df_map['density_bin'].fillna(0, inplace=True)\n",
+ "df_map"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "html": [
+ "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>district_name</th>\n",
+ " <th>poly</th>\n",
+ " <th>area_m</th>\n",
+ " <th>area_km</th>\n",
+ " <th>count</th>\n",
+ " <th>density_m</th>\n",
+ " <th>density_km</th>\n",
+ " <th>patches</th>\n",
+ " <th>density_bin</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0 </th>\n",
+ " <td> HIGHLAND</td>\n",
+ " <td> POLYGON ((453022.9949546538 1334399.614144568,...</td>\n",
+ " <td> 8.392190e+10</td>\n",
+ " <td> 839219.049331</td>\n",
+ " <td> 428</td>\n",
+ " <td> 5.099980e-09</td>\n",
+ " <td> 0.000510</td>\n",
+ " <td> Poly((453023, 1.3344e+06) ...)</td>\n",
+ " <td> 2</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1 </th>\n",
+ " <td> DUMFRIES AND GALLOWAY</td>\n",
+ " <td> POLYGON ((680091.4599565335 1030818.007436962,...</td>\n",
+ " <td> 1.956628e+10</td>\n",
+ " <td> 195662.788542</td>\n",
+ " <td> 318</td>\n",
+ " <td> 1.625245e-08</td>\n",
+ " <td> 0.001625</td>\n",
+ " <td> Poly((680091, 1.03082e+06) ...)</td>\n",
+ " <td> 2</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2 </th>\n",
+ " <td> ABERDEENSHIRE</td>\n",
+ " <td> POLYGON ((596952.7870225685 1416976.709287949,...</td>\n",
+ " <td> 2.149338e+10</td>\n",
+ " <td> 214933.781889</td>\n",
+ " <td> 527</td>\n",
+ " <td> 2.451918e-08</td>\n",
+ " <td> 0.002452</td>\n",
+ " <td> Poly((596953, 1.41698e+06) ...)</td>\n",
+ " <td> 2</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3 </th>\n",
+ " <td> PERTH AND KINROSS</td>\n",
+ " <td> POLYGON ((593859.5746641977 1267760.827338345,...</td>\n",
+ " <td> 1.765605e+10</td>\n",
+ " <td> 176560.464428</td>\n",
+ " <td> 310</td>\n",
+ " <td> 1.755772e-08</td>\n",
+ " <td> 0.001756</td>\n",
+ " <td> Poly((593860, 1.26776e+06) ...)</td>\n",
+ " <td> 2</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4 </th>\n",
+ " <td> POWYS - POWYS</td>\n",
+ " <td> POLYGON ((678600.4708295433 468089.1021490712,...</td>\n",
+ " <td> 1.386187e+10</td>\n",
+ " <td> 138618.698686</td>\n",
+ " <td> 400</td>\n",
+ " <td> 2.885614e-08</td>\n",
+ " <td> 0.002886</td>\n",
+ " <td> Poly((678600, 468089) ...)</td>\n",
+ " <td> 2</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>5 </th>\n",
+ " <td> NORTHUMBERLAND</td>\n",
+ " <td> POLYGON ((762583.4010561701 991836.2235147879,...</td>\n",
+ " <td> 1.531903e+10</td>\n",
+ " <td> 153190.330671</td>\n",
+ " <td> 745</td>\n",
+ " <td> 4.863231e-08</td>\n",
+ " <td> 0.004863</td>\n",
+ " <td> Poly((762583, 991836) ...)</td>\n",
+ " <td> 2</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>6 </th>\n",
+ " <td> SCOTTISH BORDERS</td>\n",
+ " <td> POLYGON ((720584.8560943112 1068968.406684903,...</td>\n",
+ " <td> 1.477198e+10</td>\n",
+ " <td> 147719.756242</td>\n",
+ " <td> 263</td>\n",
+ " <td> 1.780398e-08</td>\n",
+ " <td> 0.001780</td>\n",
+ " <td> Poly((720585, 1.06897e+06) ...)</td>\n",
+ " <td> 2</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>7 </th>\n",
+ " <td> ARGYLL AND BUTE</td>\n",
+ " <td> POLYGON ((507380.4262712146 1217867.74453005, ...</td>\n",
+ " <td> 1.399497e+10</td>\n",
+ " <td> 139949.659251</td>\n",
+ " <td> 181</td>\n",
+ " <td> 1.293322e-08</td>\n",
+ " <td> 0.001293</td>\n",
+ " <td> Poly((507380, 1.21787e+06) ...)</td>\n",
+ " <td> 2</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8 </th>\n",
+ " <td> CORNWALL</td>\n",
+ " <td> POLYGON ((514154.2279896485 279864.7958902363,...</td>\n",
+ " <td> 8.711619e+09</td>\n",
+ " <td> 87116.191948</td>\n",
+ " <td> 1298</td>\n",
+ " <td> 1.489964e-07</td>\n",
+ " <td> 0.014900</td>\n",
+ " <td> Poly((514154, 279865) ...)</td>\n",
+ " <td> 3</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>9 </th>\n",
+ " <td> WILTSHIRE</td>\n",
+ " <td> POLYGON ((761052.7038207795 306594.3462469028,...</td>\n",
+ " <td> 8.301948e+09</td>\n",
+ " <td> 83019.482578</td>\n",
+ " <td> 995</td>\n",
+ " <td> 1.198514e-07</td>\n",
+ " <td> 0.011985</td>\n",
+ " <td> Poly((761053, 306594) ...)</td>\n",
+ " <td> 3</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>10 </th>\n",
+ " <td> SHROPSHIRE</td>\n",
+ " <td> POLYGON ((728563.1506659805 526763.51074808, 7...</td>\n",
+ " <td> 8.652458e+09</td>\n",
+ " <td> 86524.582061</td>\n",
+ " <td> 669</td>\n",
+ " <td> 7.731907e-08</td>\n",
+ " <td> 0.007732</td>\n",
+ " <td> Poly((728563, 526764) ...)</td>\n",
+ " <td> 2</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>11 </th>\n",
+ " <td> GWYNEDD - GWYNEDD</td>\n",
+ " <td> POLYGON ((632376.3813230731 628990.7100964524,...</td>\n",
+ " <td> 6.972030e+09</td>\n",
+ " <td> 69720.298938</td>\n",
+ " <td> 267</td>\n",
+ " <td> 3.829588e-08</td>\n",
+ " <td> 0.003830</td>\n",
+ " <td> Poly((632376, 628991) ...)</td>\n",
+ " <td> 2</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>12 </th>\n",
+ " <td> SIR GAERFYRDDIN - CARMARTHENSHIRE</td>\n",
+ " <td> POLYGON ((596397.0861837791 432920.2025057105,...</td>\n",
+ " <td> 6.205722e+09</td>\n",
+ " <td> 62057.215809</td>\n",
+ " <td> 478</td>\n",
+ " <td> 7.702569e-08</td>\n",
+ " <td> 0.007703</td>\n",
+ " <td> Poly((596397, 432920) ...)</td>\n",
+ " <td> 2</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>13 </th>\n",
+ " <td> EAST RIDING OF YORKSHIRE</td>\n",
+ " <td> POLYGON ((916788.9167521703 839142.9016255857,...</td>\n",
+ " <td> 6.498738e+09</td>\n",
+ " <td> 64987.376645</td>\n",
+ " <td> 731</td>\n",
+ " <td> 1.124834e-07</td>\n",
+ " <td> 0.011248</td>\n",
+ " <td> Poly((916789, 839143) ...)</td>\n",
+ " <td> 3</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>14 </th>\n",
+ " <td> STIRLING</td>\n",
+ " <td> POLYGON ((572658.3710703934 1234154.716174939,...</td>\n",
+ " <td> 7.261880e+09</td>\n",
+ " <td> 72618.798196</td>\n",
+ " <td> 212</td>\n",
+ " <td> 2.919354e-08</td>\n",
+ " <td> 0.002919</td>\n",
+ " <td> Poly((572658, 1.23415e+06) ...)</td>\n",
+ " <td> 2</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>15 </th>\n",
+ " <td> MORAY</td>\n",
+ " <td> POLYGON ((601322.3013901655 1559920.000911878,...</td>\n",
+ " <td> 7.708886e+09</td>\n",
+ " <td> 77088.862864</td>\n",
+ " <td> 127</td>\n",
+ " <td> 1.647449e-08</td>\n",
+ " <td> 0.001647</td>\n",
+ " <td> Poly((601322, 1.55992e+06) ...)</td>\n",
+ " <td> 2</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>16 </th>\n",
+ " <td> COUNTY DURHAM</td>\n",
+ " <td> POLYGON ((778359.1007445564 927911.3264134564,...</td>\n",
+ " <td> 6.655689e+09</td>\n",
+ " <td> 66556.888545</td>\n",
+ " <td> 1011</td>\n",
+ " <td> 1.519001e-07</td>\n",
+ " <td> 0.015190</td>\n",
+ " <td> Poly((778359, 927911) ...)</td>\n",
+ " <td> 3</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>17 </th>\n",
+ " <td> ANGUS</td>\n",
+ " <td> POLYGON ((644711.2252231543 1404498.388546951,...</td>\n",
+ " <td> 7.230678e+09</td>\n",
+ " <td> 72306.780060</td>\n",
+ " <td> 200</td>\n",
+ " <td> 2.765992e-08</td>\n",
+ " <td> 0.002766</td>\n",
+ " <td> Poly((644711, 1.4045e+06) ...)</td>\n",
+ " <td> 2</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>18 </th>\n",
+ " <td> COUNTY OF HEREFORDSHIRE</td>\n",
+ " <td> POLYGON ((724984.8167208728 439794.06777108, 7...</td>\n",
+ " <td> 5.759024e+09</td>\n",
+ " <td> 57590.239282</td>\n",
+ " <td> 426</td>\n",
+ " <td> 7.397087e-08</td>\n",
+ " <td> 0.007397</td>\n",
+ " <td> Poly((724985, 439794) ...)</td>\n",
+ " <td> 2</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>19 </th>\n",
+ " <td> EDEN DISTRICT</td>\n",
+ " <td> POLYGON ((756398.3439383211 908399.6418744838,...</td>\n",
+ " <td> 6.406463e+09</td>\n",
+ " <td> 64064.632389</td>\n",
+ " <td> 165</td>\n",
+ " <td> 2.575524e-08</td>\n",
+ " <td> 0.002576</td>\n",
+ " <td> Poly((756398, 908400) ...)</td>\n",
+ " <td> 2</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>20 </th>\n",
+ " <td> NA H-EILEANAN AN IAR</td>\n",
+ " <td> POLYGON ((228643.9251664635 1602897.98406311, ...</td>\n",
+ " <td> 7.670634e+09</td>\n",
+ " <td> 76706.341382</td>\n",
+ " <td> 18</td>\n",
+ " <td> 2.346612e-09</td>\n",
+ " <td> 0.000235</td>\n",
+ " <td> Poly((228644, 1.6029e+06) ...)</td>\n",
+ " <td> 2</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>21 </th>\n",
+ " <td> SIR CEREDIGION - CEREDIGION</td>\n",
+ " <td> POLYGON ((583091.7324674798 573049.3984661456,...</td>\n",
+ " <td> 4.748700e+09</td>\n",
+ " <td> 47487.000439</td>\n",
+ " <td> 209</td>\n",
+ " <td> 4.401204e-08</td>\n",
+ " <td> 0.004401</td>\n",
+ " <td> Poly((583092, 573049) ...)</td>\n",
+ " <td> 2</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>22 </th>\n",
+ " <td> SOUTH LANARKSHIRE</td>\n",
+ " <td> POLYGON ((629671.9238179559 1112583.1630399, 6...</td>\n",
+ " <td> 5.537931e+09</td>\n",
+ " <td> 55379.307301</td>\n",
+ " <td> 451</td>\n",
+ " <td> 8.143836e-08</td>\n",
+ " <td> 0.008144</td>\n",
+ " <td> Poly((629672, 1.11258e+06) ...)</td>\n",
+ " <td> 2</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>23 </th>\n",
+ " <td> EAST LINDSEY DISTRICT</td>\n",
+ " <td> POLYGON ((997866.8406633221 666659.8393354705,...</td>\n",
+ " <td> 4.910603e+09</td>\n",
+ " <td> 49106.026430</td>\n",
+ " <td> 510</td>\n",
+ " <td> 1.038569e-07</td>\n",
+ " <td> 0.010386</td>\n",
+ " <td> Poly((997867, 666660) ...)</td>\n",
+ " <td> 3</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>24 </th>\n",
+ " <td> HIGHLAND</td>\n",
+ " <td> POLYGON ((318012.2830360706 1462936.305708727,...</td>\n",
+ " <td> 5.593534e+09</td>\n",
+ " <td> 55935.337209</td>\n",
+ " <td> 24</td>\n",
+ " <td> 4.290669e-09</td>\n",
+ " <td> 0.000429</td>\n",
+ " <td> Poly((318012, 1.46294e+06) ...)</td>\n",
+ " <td> 2</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>25 </th>\n",
+ " <td> SIR BENFRO - PEMBROKESHIRE</td>\n",
+ " <td> POLYGON ((504376.0110890038 481646.9451451311,...</td>\n",
+ " <td> 4.207126e+09</td>\n",
+ " <td> 42071.264805</td>\n",
+ " <td> 322</td>\n",
+ " <td> 7.653680e-08</td>\n",
+ " <td> 0.007654</td>\n",
+ " <td> Poly((504376, 481647) ...)</td>\n",
+ " <td> 2</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>26 </th>\n",
+ " <td> SOUTH LAKELAND DISTRICT</td>\n",
+ " <td> POLYGON ((704205.27171306 873733.8011977896, 7...</td>\n",
+ " <td> 4.550982e+09</td>\n",
+ " <td> 45509.818320</td>\n",
+ " <td> 265</td>\n",
+ " <td> 5.822919e-08</td>\n",
+ " <td> 0.005823</td>\n",
+ " <td> Poly((704205, 873734) ...)</td>\n",
+ " <td> 2</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>27 </th>\n",
+ " <td> RYEDALE DISTRICT</td>\n",
+ " <td> POLYGON ((901842.0566101422 851464.2557462538,...</td>\n",
+ " <td> 4.388841e+09</td>\n",
+ " <td> 43888.413213</td>\n",
+ " <td> 162</td>\n",
+ " <td> 3.691179e-08</td>\n",
+ " <td> 0.003691</td>\n",
+ " <td> Poly((901842, 851464) ...)</td>\n",
+ " <td> 2</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>28 </th>\n",
+ " <td> FIFE</td>\n",
+ " <td> POLYGON ((604174.5251877202 1244670.029207176,...</td>\n",
+ " <td> 4.268589e+09</td>\n",
+ " <td> 42685.885763</td>\n",
+ " <td> 420</td>\n",
+ " <td> 9.839318e-08</td>\n",
+ " <td> 0.009839</td>\n",
+ " <td> Poly((604175, 1.24467e+06) ...)</td>\n",
+ " <td> 3</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>29 </th>\n",
+ " <td> RICHMONDSHIRE DISTRICT</td>\n",
+ " <td> POLYGON ((796785.6245159419 873521.9708775803,...</td>\n",
+ " <td> 3.869989e+09</td>\n",
+ " <td> 38699.893446</td>\n",
+ " <td> 161</td>\n",
+ " <td> 4.160218e-08</td>\n",
+ " <td> 0.004160</td>\n",
+ " <td> Poly((796786, 873522) ...)</td>\n",
+ " <td> 2</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>...</th>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8072</th>\n",
+ " <td> SHETLAND ISLANDS</td>\n",
+ " <td> POLYGON ((891886.298677379 2123023.473961114, ...</td>\n",
+ " <td> 1.969131e+03</td>\n",
+ " <td> 0.019691</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((891886, 2.12302e+06) ...)</td>\n",
+ " <td> 0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8073</th>\n",
+ " <td> ARGYLL AND BUTE</td>\n",
+ " <td> POLYGON ((317203.1010889043 1297360.597179405,...</td>\n",
+ " <td> 1.574788e+03</td>\n",
+ " <td> 0.015748</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((317203, 1.29736e+06) ...)</td>\n",
+ " <td> 0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8074</th>\n",
+ " <td> NA H-EILEANAN AN IAR</td>\n",
+ " <td> POLYGON ((200628.6176624371 1541685.068001645,...</td>\n",
+ " <td> 1.675879e+03</td>\n",
+ " <td> 0.016759</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((200629, 1.54169e+06) ...)</td>\n",
+ " <td> 0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8075</th>\n",
+ " <td> SHETLAND ISLANDS</td>\n",
+ " <td> POLYGON ((861646.2467316808 2207132.666131773,...</td>\n",
+ " <td> 1.998240e+03</td>\n",
+ " <td> 0.019982</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((861646, 2.20713e+06) ...)</td>\n",
+ " <td> 0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8076</th>\n",
+ " <td> SHETLAND ISLANDS</td>\n",
+ " <td> POLYGON ((839321.9171657359 2179967.300611307,...</td>\n",
+ " <td> 1.960998e+03</td>\n",
+ " <td> 0.019610</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((839322, 2.17997e+06) ...)</td>\n",
+ " <td> 0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8077</th>\n",
+ " <td> ARGYLL AND BUTE</td>\n",
+ " <td> POLYGON ((327955.5959627344 1322645.151498831,...</td>\n",
+ " <td> 1.557615e+03</td>\n",
+ " <td> 0.015576</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((327956, 1.32265e+06) ...)</td>\n",
+ " <td> 0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8078</th>\n",
+ " <td> HIGHLAND</td>\n",
+ " <td> POLYGON ((489853.1909290723 1762304.642898867,...</td>\n",
+ " <td> 1.741845e+03</td>\n",
+ " <td> 0.017418</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((489853, 1.7623e+06) ...)</td>\n",
+ " <td> 0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8079</th>\n",
+ " <td> SHETLAND ISLANDS</td>\n",
+ " <td> POLYGON ((791246.5069960889 2103895.071188306,...</td>\n",
+ " <td> 1.894740e+03</td>\n",
+ " <td> 0.018947</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((791247, 2.1039e+06) ...)</td>\n",
+ " <td> 0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8080</th>\n",
+ " <td> HIGHLAND</td>\n",
+ " <td> POLYGON ((406831.2563920435 1633417.601240199,...</td>\n",
+ " <td> 1.666478e+03</td>\n",
+ " <td> 0.016665</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((406831, 1.63342e+06) ...)</td>\n",
+ " <td> 0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8081</th>\n",
+ " <td> PURBECK DISTRICT</td>\n",
+ " <td> POLYGON ((772621.3457197307 224881.419415473, ...</td>\n",
+ " <td> 1.144298e+03</td>\n",
+ " <td> 0.011443</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((772621, 224881) ...)</td>\n",
+ " <td> 0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8082</th>\n",
+ " <td> SHETLAND ISLANDS</td>\n",
+ " <td> POLYGON ((789183.1314421133 2104190.012253269,...</td>\n",
+ " <td> 1.854703e+03</td>\n",
+ " <td> 0.018547</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((789183, 2.10419e+06) ...)</td>\n",
+ " <td> 0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8083</th>\n",
+ " <td> SHETLAND ISLANDS</td>\n",
+ " <td> POLYGON ((855646.9639732213 2104510.253651877,...</td>\n",
+ " <td> 1.830707e+03</td>\n",
+ " <td> 0.018307</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((855647, 2.10451e+06) ...)</td>\n",
+ " <td> 0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8084</th>\n",
+ " <td> SHETLAND ISLANDS</td>\n",
+ " <td> POLYGON ((863715.9332395556 2206876.078790086,...</td>\n",
+ " <td> 1.880317e+03</td>\n",
+ " <td> 0.018803</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((863716, 2.20688e+06) ...)</td>\n",
+ " <td> 0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8085</th>\n",
+ " <td> NA H-EILEANAN AN IAR</td>\n",
+ " <td> POLYGON ((229792.0789476208 1631739.196899181,...</td>\n",
+ " <td> 1.589619e+03</td>\n",
+ " <td> 0.015896</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((229792, 1.63174e+06) ...)</td>\n",
+ " <td> 0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8086</th>\n",
+ " <td> SHETLAND ISLANDS</td>\n",
+ " <td> POLYGON ((878271.4421611639 2039394.281684457,...</td>\n",
+ " <td> 1.713754e+03</td>\n",
+ " <td> 0.017138</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((878271, 2.03939e+06) ...)</td>\n",
+ " <td> 0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8087</th>\n",
+ " <td> NA H-EILEANAN AN IAR</td>\n",
+ " <td> POLYGON ((272345.6315960943 1706185.848445966,...</td>\n",
+ " <td> 1.557054e+03</td>\n",
+ " <td> 0.015571</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((272346, 1.70619e+06) ...)</td>\n",
+ " <td> 0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8088</th>\n",
+ " <td> SHETLAND ISLANDS</td>\n",
+ " <td> POLYGON ((860423.9154705534 2208376.456278435,...</td>\n",
+ " <td> 1.775677e+03</td>\n",
+ " <td> 0.017757</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((860424, 2.20838e+06) ...)</td>\n",
+ " <td> 0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8089</th>\n",
+ " <td> SHETLAND ISLANDS</td>\n",
+ " <td> POLYGON ((933402.4011343222 2248241.655814567,...</td>\n",
+ " <td> 1.794969e+03</td>\n",
+ " <td> 0.017950</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((933402, 2.24824e+06) ...)</td>\n",
+ " <td> 0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8090</th>\n",
+ " <td> ARGYLL AND BUTE</td>\n",
+ " <td> POLYGON ((306541.9881210338 1297302.495227072,...</td>\n",
+ " <td> 1.382048e+03</td>\n",
+ " <td> 0.013820</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((306542, 1.2973e+06) ...)</td>\n",
+ " <td> 0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8091</th>\n",
+ " <td> ARGYLL AND BUTE</td>\n",
+ " <td> POLYGON ((309303.8707154305 1287486.683061615,...</td>\n",
+ " <td> 1.355942e+03</td>\n",
+ " <td> 0.013559</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((309304, 1.28749e+06) ...)</td>\n",
+ " <td> 0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8092</th>\n",
+ " <td> ARGYLL AND BUTE</td>\n",
+ " <td> POLYGON ((340373.3670206967 1323634.124490729,...</td>\n",
+ " <td> 1.346282e+03</td>\n",
+ " <td> 0.013463</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((340373, 1.32363e+06) ...)</td>\n",
+ " <td> 0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8093</th>\n",
+ " <td> ARGYLL AND BUTE</td>\n",
+ " <td> POLYGON ((347224.1139650308 1352772.485025928,...</td>\n",
+ " <td> 1.310633e+03</td>\n",
+ " <td> 0.013106</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((347224, 1.35277e+06) ...)</td>\n",
+ " <td> 0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8094</th>\n",
+ " <td> SHETLAND ISLANDS</td>\n",
+ " <td> POLYGON ((839349.7269818566 2179875.919776796,...</td>\n",
+ " <td> 1.599934e+03</td>\n",
+ " <td> 0.015999</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((839350, 2.17988e+06) ...)</td>\n",
+ " <td> 0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8095</th>\n",
+ " <td> SHETLAND ISLANDS</td>\n",
+ " <td> POLYGON ((874091.0320706547 2215705.558530343,...</td>\n",
+ " <td> 1.472652e+03</td>\n",
+ " <td> 0.014727</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((874091, 2.21571e+06) ...)</td>\n",
+ " <td> 0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8096</th>\n",
+ " <td> SHETLAND ISLANDS</td>\n",
+ " <td> POLYGON ((905580.3658836306 2186021.103359194,...</td>\n",
+ " <td> 1.039571e+03</td>\n",
+ " <td> 0.010396</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((905580, 2.18602e+06) ...)</td>\n",
+ " <td> 0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8097</th>\n",
+ " <td> SHETLAND ISLANDS</td>\n",
+ " <td> POLYGON ((896424.9329914356 2115273.05111649, ...</td>\n",
+ " <td> 9.008782e+02</td>\n",
+ " <td> 0.009009</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((896425, 2.11527e+06) ...)</td>\n",
+ " <td> 0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8098</th>\n",
+ " <td> PURBECK DISTRICT</td>\n",
+ " <td> POLYGON ((772691.966850065 224916.3018375989, ...</td>\n",
+ " <td> 5.201352e+02</td>\n",
+ " <td> 0.005201</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((772692, 224916) ...)</td>\n",
+ " <td> 0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8099</th>\n",
+ " <td> NA H-EILEANAN AN IAR</td>\n",
+ " <td> POLYGON ((230352.197006595 1631777.897044773, ...</td>\n",
+ " <td> 6.393868e+02</td>\n",
+ " <td> 0.006394</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((230352, 1.63178e+06) ...)</td>\n",
+ " <td> 0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8100</th>\n",
+ " <td> PURBECK DISTRICT</td>\n",
+ " <td> POLYGON ((772742.3068369001 224900.6930945357,...</td>\n",
+ " <td> 3.715238e+02</td>\n",
+ " <td> 0.003715</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((772742, 224901) ...)</td>\n",
+ " <td> 0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8101</th>\n",
+ " <td> SEDGEMOOR DISTRICT</td>\n",
+ " <td> POLYGON ((683773.1663043755 349833.2314334279,...</td>\n",
+ " <td> 2.935639e+02</td>\n",
+ " <td> 0.002936</td>\n",
+ " <td> 0</td>\n",
+ " <td> NaN</td>\n",
+ " <td> NaN</td>\n",
+ " <td> Poly((683773, 349833) ...)</td>\n",
+ " <td> 0</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>8102 rows \u00d7 9 columns</p>\n",
+ "</div>"
+ ],
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 109,
+ "text": [
+ " district_name \\\n",
+ "0 HIGHLAND \n",
+ "1 DUMFRIES AND GALLOWAY \n",
+ "2 ABERDEENSHIRE \n",
+ "3 PERTH AND KINROSS \n",
+ "4 POWYS - POWYS \n",
+ "5 NORTHUMBERLAND \n",
+ "6 SCOTTISH BORDERS \n",
+ "7 ARGYLL AND BUTE \n",
+ "8 CORNWALL \n",
+ "9 WILTSHIRE \n",
+ "10 SHROPSHIRE \n",
+ "11 GWYNEDD - GWYNEDD \n",
+ "12 SIR GAERFYRDDIN - CARMARTHENSHIRE \n",
+ "13 EAST RIDING OF YORKSHIRE \n",
+ "14 STIRLING \n",
+ "15 MORAY \n",
+ "16 COUNTY DURHAM \n",
+ "17 ANGUS \n",
+ "18 COUNTY OF HEREFORDSHIRE \n",
+ "19 EDEN DISTRICT \n",
+ "20 NA H-EILEANAN AN IAR \n",
+ "21 SIR CEREDIGION - CEREDIGION \n",
+ "22 SOUTH LANARKSHIRE \n",
+ "23 EAST LINDSEY DISTRICT \n",
+ "24 HIGHLAND \n",
+ "25 SIR BENFRO - PEMBROKESHIRE \n",
+ "26 SOUTH LAKELAND DISTRICT \n",
+ "27 RYEDALE DISTRICT \n",
+ "28 FIFE \n",
+ "29 RICHMONDSHIRE DISTRICT \n",
+ "... ... \n",
+ "8072 SHETLAND ISLANDS \n",
+ "8073 ARGYLL AND BUTE \n",
+ "8074 NA H-EILEANAN AN IAR \n",
+ "8075 SHETLAND ISLANDS \n",
+ "8076 SHETLAND ISLANDS \n",
+ "8077 ARGYLL AND BUTE \n",
+ "8078 HIGHLAND \n",
+ "8079 SHETLAND ISLANDS \n",
+ "8080 HIGHLAND \n",
+ "8081 PURBECK DISTRICT \n",
+ "8082 SHETLAND ISLANDS \n",
+ "8083 SHETLAND ISLANDS \n",
+ "8084 SHETLAND ISLANDS \n",
+ "8085 NA H-EILEANAN AN IAR \n",
+ "8086 SHETLAND ISLANDS \n",
+ "8087 NA H-EILEANAN AN IAR \n",
+ "8088 SHETLAND ISLANDS \n",
+ "8089 SHETLAND ISLANDS \n",
+ "8090 ARGYLL AND BUTE \n",
+ "8091 ARGYLL AND BUTE \n",
+ "8092 ARGYLL AND BUTE \n",
+ "8093 ARGYLL AND BUTE \n",
+ "8094 SHETLAND ISLANDS \n",
+ "8095 SHETLAND ISLANDS \n",
+ "8096 SHETLAND ISLANDS \n",
+ "8097 SHETLAND ISLANDS \n",
+ "8098 PURBECK DISTRICT \n",
+ "8099 NA H-EILEANAN AN IAR \n",
+ "8100 PURBECK DISTRICT \n",
+ "8101 SEDGEMOOR DISTRICT \n",
+ "\n",
+ " poly area_m \\\n",
+ "0 POLYGON ((453022.9949546538 1334399.614144568,... 8.392190e+10 \n",
+ "1 POLYGON ((680091.4599565335 1030818.007436962,... 1.956628e+10 \n",
+ "2 POLYGON ((596952.7870225685 1416976.709287949,... 2.149338e+10 \n",
+ "3 POLYGON ((593859.5746641977 1267760.827338345,... 1.765605e+10 \n",
+ "4 POLYGON ((678600.4708295433 468089.1021490712,... 1.386187e+10 \n",
+ "5 POLYGON ((762583.4010561701 991836.2235147879,... 1.531903e+10 \n",
+ "6 POLYGON ((720584.8560943112 1068968.406684903,... 1.477198e+10 \n",
+ "7 POLYGON ((507380.4262712146 1217867.74453005, ... 1.399497e+10 \n",
+ "8 POLYGON ((514154.2279896485 279864.7958902363,... 8.711619e+09 \n",
+ "9 POLYGON ((761052.7038207795 306594.3462469028,... 8.301948e+09 \n",
+ "10 POLYGON ((728563.1506659805 526763.51074808, 7... 8.652458e+09 \n",
+ "11 POLYGON ((632376.3813230731 628990.7100964524,... 6.972030e+09 \n",
+ "12 POLYGON ((596397.0861837791 432920.2025057105,... 6.205722e+09 \n",
+ "13 POLYGON ((916788.9167521703 839142.9016255857,... 6.498738e+09 \n",
+ "14 POLYGON ((572658.3710703934 1234154.716174939,... 7.261880e+09 \n",
+ "15 POLYGON ((601322.3013901655 1559920.000911878,... 7.708886e+09 \n",
+ "16 POLYGON ((778359.1007445564 927911.3264134564,... 6.655689e+09 \n",
+ "17 POLYGON ((644711.2252231543 1404498.388546951,... 7.230678e+09 \n",
+ "18 POLYGON ((724984.8167208728 439794.06777108, 7... 5.759024e+09 \n",
+ "19 POLYGON ((756398.3439383211 908399.6418744838,... 6.406463e+09 \n",
+ "20 POLYGON ((228643.9251664635 1602897.98406311, ... 7.670634e+09 \n",
+ "21 POLYGON ((583091.7324674798 573049.3984661456,... 4.748700e+09 \n",
+ "22 POLYGON ((629671.9238179559 1112583.1630399, 6... 5.537931e+09 \n",
+ "23 POLYGON ((997866.8406633221 666659.8393354705,... 4.910603e+09 \n",
+ "24 POLYGON ((318012.2830360706 1462936.305708727,... 5.593534e+09 \n",
+ "25 POLYGON ((504376.0110890038 481646.9451451311,... 4.207126e+09 \n",
+ "26 POLYGON ((704205.27171306 873733.8011977896, 7... 4.550982e+09 \n",
+ "27 POLYGON ((901842.0566101422 851464.2557462538,... 4.388841e+09 \n",
+ "28 POLYGON ((604174.5251877202 1244670.029207176,... 4.268589e+09 \n",
+ "29 POLYGON ((796785.6245159419 873521.9708775803,... 3.869989e+09 \n",
+ "... ... ... \n",
+ "8072 POLYGON ((891886.298677379 2123023.473961114, ... 1.969131e+03 \n",
+ "8073 POLYGON ((317203.1010889043 1297360.597179405,... 1.574788e+03 \n",
+ "8074 POLYGON ((200628.6176624371 1541685.068001645,... 1.675879e+03 \n",
+ "8075 POLYGON ((861646.2467316808 2207132.666131773,... 1.998240e+03 \n",
+ "8076 POLYGON ((839321.9171657359 2179967.300611307,... 1.960998e+03 \n",
+ "8077 POLYGON ((327955.5959627344 1322645.151498831,... 1.557615e+03 \n",
+ "8078 POLYGON ((489853.1909290723 1762304.642898867,... 1.741845e+03 \n",
+ "8079 POLYGON ((791246.5069960889 2103895.071188306,... 1.894740e+03 \n",
+ "8080 POLYGON ((406831.2563920435 1633417.601240199,... 1.666478e+03 \n",
+ "8081 POLYGON ((772621.3457197307 224881.419415473, ... 1.144298e+03 \n",
+ "8082 POLYGON ((789183.1314421133 2104190.012253269,... 1.854703e+03 \n",
+ "8083 POLYGON ((855646.9639732213 2104510.253651877,... 1.830707e+03 \n",
+ "8084 POLYGON ((863715.9332395556 2206876.078790086,... 1.880317e+03 \n",
+ "8085 POLYGON ((229792.0789476208 1631739.196899181,... 1.589619e+03 \n",
+ "8086 POLYGON ((878271.4421611639 2039394.281684457,... 1.713754e+03 \n",
+ "8087 POLYGON ((272345.6315960943 1706185.848445966,... 1.557054e+03 \n",
+ "8088 POLYGON ((860423.9154705534 2208376.456278435,... 1.775677e+03 \n",
+ "8089 POLYGON ((933402.4011343222 2248241.655814567,... 1.794969e+03 \n",
+ "8090 POLYGON ((306541.9881210338 1297302.495227072,... 1.382048e+03 \n",
+ "8091 POLYGON ((309303.8707154305 1287486.683061615,... 1.355942e+03 \n",
+ "8092 POLYGON ((340373.3670206967 1323634.124490729,... 1.346282e+03 \n",
+ "8093 POLYGON ((347224.1139650308 1352772.485025928,... 1.310633e+03 \n",
+ "8094 POLYGON ((839349.7269818566 2179875.919776796,... 1.599934e+03 \n",
+ "8095 POLYGON ((874091.0320706547 2215705.558530343,... 1.472652e+03 \n",
+ "8096 POLYGON ((905580.3658836306 2186021.103359194,... 1.039571e+03 \n",
+ "8097 POLYGON ((896424.9329914356 2115273.05111649, ... 9.008782e+02 \n",
+ "8098 POLYGON ((772691.966850065 224916.3018375989, ... 5.201352e+02 \n",
+ "8099 POLYGON ((230352.197006595 1631777.897044773, ... 6.393868e+02 \n",
+ "8100 POLYGON ((772742.3068369001 224900.6930945357,... 3.715238e+02 \n",
+ "8101 POLYGON ((683773.1663043755 349833.2314334279,... 2.935639e+02 \n",
+ "\n",
+ " area_km count density_m density_km \\\n",
+ "0 839219.049331 428 5.099980e-09 0.000510 \n",
+ "1 195662.788542 318 1.625245e-08 0.001625 \n",
+ "2 214933.781889 527 2.451918e-08 0.002452 \n",
+ "3 176560.464428 310 1.755772e-08 0.001756 \n",
+ "4 138618.698686 400 2.885614e-08 0.002886 \n",
+ "5 153190.330671 745 4.863231e-08 0.004863 \n",
+ "6 147719.756242 263 1.780398e-08 0.001780 \n",
+ "7 139949.659251 181 1.293322e-08 0.001293 \n",
+ "8 87116.191948 1298 1.489964e-07 0.014900 \n",
+ "9 83019.482578 995 1.198514e-07 0.011985 \n",
+ "10 86524.582061 669 7.731907e-08 0.007732 \n",
+ "11 69720.298938 267 3.829588e-08 0.003830 \n",
+ "12 62057.215809 478 7.702569e-08 0.007703 \n",
+ "13 64987.376645 731 1.124834e-07 0.011248 \n",
+ "14 72618.798196 212 2.919354e-08 0.002919 \n",
+ "15 77088.862864 127 1.647449e-08 0.001647 \n",
+ "16 66556.888545 1011 1.519001e-07 0.015190 \n",
+ "17 72306.780060 200 2.765992e-08 0.002766 \n",
+ "18 57590.239282 426 7.397087e-08 0.007397 \n",
+ "19 64064.632389 165 2.575524e-08 0.002576 \n",
+ "20 76706.341382 18 2.346612e-09 0.000235 \n",
+ "21 47487.000439 209 4.401204e-08 0.004401 \n",
+ "22 55379.307301 451 8.143836e-08 0.008144 \n",
+ "23 49106.026430 510 1.038569e-07 0.010386 \n",
+ "24 55935.337209 24 4.290669e-09 0.000429 \n",
+ "25 42071.264805 322 7.653680e-08 0.007654 \n",
+ "26 45509.818320 265 5.822919e-08 0.005823 \n",
+ "27 43888.413213 162 3.691179e-08 0.003691 \n",
+ "28 42685.885763 420 9.839318e-08 0.009839 \n",
+ "29 38699.893446 161 4.160218e-08 0.004160 \n",
+ "... ... ... ... ... \n",
+ "8072 0.019691 0 NaN NaN \n",
+ "8073 0.015748 0 NaN NaN \n",
+ "8074 0.016759 0 NaN NaN \n",
+ "8075 0.019982 0 NaN NaN \n",
+ "8076 0.019610 0 NaN NaN \n",
+ "8077 0.015576 0 NaN NaN \n",
+ "8078 0.017418 0 NaN NaN \n",
+ "8079 0.018947 0 NaN NaN \n",
+ "8080 0.016665 0 NaN NaN \n",
+ "8081 0.011443 0 NaN NaN \n",
+ "8082 0.018547 0 NaN NaN \n",
+ "8083 0.018307 0 NaN NaN \n",
+ "8084 0.018803 0 NaN NaN \n",
+ "8085 0.015896 0 NaN NaN \n",
+ "8086 0.017138 0 NaN NaN \n",
+ "8087 0.015571 0 NaN NaN \n",
+ "8088 0.017757 0 NaN NaN \n",
+ "8089 0.017950 0 NaN NaN \n",
+ "8090 0.013820 0 NaN NaN \n",
+ "8091 0.013559 0 NaN NaN \n",
+ "8092 0.013463 0 NaN NaN \n",
+ "8093 0.013106 0 NaN NaN \n",
+ "8094 0.015999 0 NaN NaN \n",
+ "8095 0.014727 0 NaN NaN \n",
+ "8096 0.010396 0 NaN NaN \n",
+ "8097 0.009009 0 NaN NaN \n",
+ "8098 0.005201 0 NaN NaN \n",
+ "8099 0.006394 0 NaN NaN \n",
+ "8100 0.003715 0 NaN NaN \n",
+ "8101 0.002936 0 NaN NaN \n",
+ "\n",
+ " patches density_bin \n",
+ "0 Poly((453023, 1.3344e+06) ...) 2 \n",
+ "1 Poly((680091, 1.03082e+06) ...) 2 \n",
+ "2 Poly((596953, 1.41698e+06) ...) 2 \n",
+ "3 Poly((593860, 1.26776e+06) ...) 2 \n",
+ "4 Poly((678600, 468089) ...) 2 \n",
+ "5 Poly((762583, 991836) ...) 2 \n",
+ "6 Poly((720585, 1.06897e+06) ...) 2 \n",
+ "7 Poly((507380, 1.21787e+06) ...) 2 \n",
+ "8 Poly((514154, 279865) ...) 3 \n",
+ "9 Poly((761053, 306594) ...) 3 \n",
+ "10 Poly((728563, 526764) ...) 2 \n",
+ "11 Poly((632376, 628991) ...) 2 \n",
+ "12 Poly((596397, 432920) ...) 2 \n",
+ "13 Poly((916789, 839143) ...) 3 \n",
+ "14 Poly((572658, 1.23415e+06) ...) 2 \n",
+ "15 Poly((601322, 1.55992e+06) ...) 2 \n",
+ "16 Poly((778359, 927911) ...) 3 \n",
+ "17 Poly((644711, 1.4045e+06) ...) 2 \n",
+ "18 Poly((724985, 439794) ...) 2 \n",
+ "19 Poly((756398, 908400) ...) 2 \n",
+ "20 Poly((228644, 1.6029e+06) ...) 2 \n",
+ "21 Poly((583092, 573049) ...) 2 \n",
+ "22 Poly((629672, 1.11258e+06) ...) 2 \n",
+ "23 Poly((997867, 666660) ...) 3 \n",
+ "24 Poly((318012, 1.46294e+06) ...) 2 \n",
+ "25 Poly((504376, 481647) ...) 2 \n",
+ "26 Poly((704205, 873734) ...) 2 \n",
+ "27 Poly((901842, 851464) ...) 2 \n",
+ "28 Poly((604175, 1.24467e+06) ...) 3 \n",
+ "29 Poly((796786, 873522) ...) 2 \n",
+ "... ... ... \n",
+ "8072 Poly((891886, 2.12302e+06) ...) 0 \n",
+ "8073 Poly((317203, 1.29736e+06) ...) 0 \n",
+ "8074 Poly((200629, 1.54169e+06) ...) 0 \n",
+ "8075 Poly((861646, 2.20713e+06) ...) 0 \n",
+ "8076 Poly((839322, 2.17997e+06) ...) 0 \n",
+ "8077 Poly((327956, 1.32265e+06) ...) 0 \n",
+ "8078 Poly((489853, 1.7623e+06) ...) 0 \n",
+ "8079 Poly((791247, 2.1039e+06) ...) 0 \n",
+ "8080 Poly((406831, 1.63342e+06) ...) 0 \n",
+ "8081 Poly((772621, 224881) ...) 0 \n",
+ "8082 Poly((789183, 2.10419e+06) ...) 0 \n",
+ "8083 Poly((855647, 2.10451e+06) ...) 0 \n",
+ "8084 Poly((863716, 2.20688e+06) ...) 0 \n",
+ "8085 Poly((229792, 1.63174e+06) ...) 0 \n",
+ "8086 Poly((878271, 2.03939e+06) ...) 0 \n",
+ "8087 Poly((272346, 1.70619e+06) ...) 0 \n",
+ "8088 Poly((860424, 2.20838e+06) ...) 0 \n",
+ "8089 Poly((933402, 2.24824e+06) ...) 0 \n",
+ "8090 Poly((306542, 1.2973e+06) ...) 0 \n",
+ "8091 Poly((309304, 1.28749e+06) ...) 0 \n",
+ "8092 Poly((340373, 1.32363e+06) ...) 0 \n",
+ "8093 Poly((347224, 1.35277e+06) ...) 0 \n",
+ "8094 Poly((839350, 2.17988e+06) ...) 0 \n",
+ "8095 Poly((874091, 2.21571e+06) ...) 0 \n",
+ "8096 Poly((905580, 2.18602e+06) ...) 0 \n",
+ "8097 Poly((896425, 2.11527e+06) ...) 0 \n",
+ "8098 Poly((772692, 224916) ...) 0 \n",
+ "8099 Poly((230352, 1.63178e+06) ...) 0 \n",
+ "8100 Poly((772742, 224901) ...) 0 \n",
+ "8101 Poly((683773, 349833) ...) 0 \n",
+ "\n",
+ "[8102 rows x 9 columns]"
+ ]
+ }
+ ],
+ "prompt_number": 109
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "bin_counts = collections.Counter(df_map['density_bin'])\n",
+ "bin_values = [bin_counts[i] for i in sorted(bin_counts)]\n",
+ "bin_values"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 119,
+ "text": [
+ "[7669, 2, 72, 72, 72, 72, 72, 71]"
+ ]
+ }
+ ],
+ "prompt_number": 119
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "density_labels = [\"<= %0.1f/km$^2$(%s districts)\" % (b, c) for b, c in zip(\n",
+ " thresholds, bin_values)]\n",
+ "density_labels.insert(0, 'No accidents (%s districs)' % len(df_map[df_map['density_km'].isnull()]))"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 141
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "df_map['patches'] = df_map['poly'].map(lambda x: PolygonPatch(\n",
+ " x,\n",
+ " fc='#555555',\n",
+ " ec='#787878', lw=.25, alpha=.9,\n",
+ " zorder=4))"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 110
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "plt.clf()\n",
+ "fig = plt.figure()\n",
+ "ax = fig.add_subplot(111, axisbg='w', frame_on=False)\n",
+ "\n",
+ "plt.clf()\n",
+ "fig = plt.figure()\n",
+ "ax = fig.add_subplot(111, axisbg='w', frame_on=False)\n",
+ "\n",
+ "# use a blue colour ramp - we'll be converting it to a map using cmap()\n",
+ "cmap = plt.get_cmap('Blues')\n",
+ "# draw districts with grey outlines\n",
+ "df_map['patches'] = df_map['poly'].map(lambda x: PolygonPatch(x, ec='#555555', lw=.2, alpha=1., zorder=4))\n",
+ "pc = PatchCollection(df_map['patches'], match_original=True)\n",
+ "# impose our colour map onto the patch collection\n",
+ "norm = Normalize()\n",
+ "pc.set_facecolor(cmap(norm(df_map['density_bin'].values)))\n",
+ "ax.add_collection(pc)\n",
+ "\n",
+ "# Add a colour bar\n",
+ "cb = colorbar_index(ncolors=len(density_labels), cmap=cmap, shrink=0.5, labels=density_labels)\n",
+ "cb.ax.tick_params(labelsize=6)\n",
+ "\n",
+ "# Show highest densities, in descending order\n",
+ "highest = '\\n'.join(df_map.sort('density_km', ascending=False)['district_name'][:10])\n",
+ "highest = 'Most Dense Districts:\\n\\n' + highest\n",
+ "# Subtraction is necessary for precise y coordinate alignment\n",
+ "details = cb.ax.text(\n",
+ " -1., 0 - 0.007,\n",
+ " highest,\n",
+ " ha='right', va='bottom',\n",
+ " size=5,\n",
+ " color='#555555')\n",
+ "\n",
+ "# Draw a map scale\n",
+ "m.drawmapscale(\n",
+ " coords[0] + 0.08, coords[1] + 0.015,\n",
+ " coords[0], coords[1],\n",
+ " 500.,\n",
+ " barstyle='fancy', labelstyle='simple',\n",
+ " fillcolor1='w', fillcolor2='#555555',\n",
+ " fontcolor='#555555',\n",
+ " zorder=5)\n",
+ "# this will set the image width to 722px at 100dpi\n",
+ "plt.tight_layout()\n",
+ "fig.set_size_inches(15, 15)\n",
+ "# plt.savefig('district_accident_density.png', dpi=100, alpha=True)\n",
+ "plt.show()"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "display_data",
+ "text": [
+ "<matplotlib.figure.Figure at 0x7f43ad92ff98>"
+ ]
+ },
+ {
+ "metadata": {},
+ "output_type": "display_data",
+ "text": [
+ "<matplotlib.figure.Figure at 0x7f43af2bdf60>"
+ ]
+ },
+ {
+ "metadata": {},
+ "output_type": "display_data",
+ "png": 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mvbhH1UlY3zKJm+AUoylFih7eW7CJ10EBAIBuiW3YANBN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gwJ5ydmjU2oLDhcGRypUZOEH5w2q1ssV/LC41NjCL+PsJk6bJaO1gH7eesvHc31JE3TqYGOA0EQ\nBEGQwQEly8ig4fF4NvN4vMMN9XWlYWHhX3s83nyL2dyns4d379rxQuqw9MWzZs/Zfqysct6vn73l\nwnFGq8NijE8bM81ZdOBvQUR8mjE6OYOoLDgk8nk9Ff0Z+yNPrwgRK1RzVjx67wYAAJlcPszv9+9f\nuPBuZXN16bdimTIrNn3ENV07Hw8bO+1OmqYaIxOHrWdzeV+Y21sfU4ZF7qk+nrfc7bRP5wlE5zxD\nmabB1VO5VqvFuVzu3X/9tXV/h16/9fTrYbGJU07fgbk7oVjKGjXzuhl5O37lsTgcbNq8BWNO7GrM\nAABQhcdc1mfR+rweuqmyuJ4vluLqCE3k6Ztw0TQNRQd2fPjcw4u/AgB4atWaWZrUrMUmfUvI2b6u\n54MvkoAyNFLh93kH5ewyRZJQX368LmXkxNiuexbJFJH15cebLYY2H5vDA7F8fAxFkrS+ocrIF8tF\nycMnDPpnsBXB4Yzq43nXvvL+Z3VHd/2x+mwb6CEIgiAIcvlDyTIyaGzatMkBACUAAHfeeef9DofD\n0tc/Vt9/7z2fWh1sqa+rO+YjyI9wHHvb73UTAKCoK8plA0B9S215PY9BGMDnCpPwuZz+ivuhp55X\npo2e8rNMFZJ+38NP/PP+W2vKS4qL3lSGxTybMXnMUr5IEnls758Pq6Nip4llSgFA5zLboNCohRiG\njaZIsloWFPJVSFS8uL60YNqRnb89lzVx9nKBWHbWDad8HndtT+U6nY5arArdXtdqyfzzh01nHIvF\n4Qkm9uW+siddMR6g85nmf4uWmvLK+vLClZUFh3/mCUR0Us64x3lCUSiGM4Qk4TdxeHyNy26TVBw7\n8GBXG8LnZUUmDLsuOjmzX2ORB4cLW2vKOyA8ul/77Q8luXtqUkZMiO3+5kBwZCzHbjEFqyNiGITf\nTxUf2lXj83qYIdHx6uCImH77eRtIOIMB2VOuVP34wSsPiaQKEgDWBDomBEEQBEECByXLyKD02Wef\nnbF8+FxYivBv+SbbUr9JX+gnsN1+r3d9UFikc5r2bunPn75BK6Vio1IRFG/sMJBcLvft/oqVyxeO\nD49LGUGRJARHxT6v1Wr/u+HTT22vrNvIS8weexUAgM/reYsvEJ8yIxscFRsqlCm4xQd3skbPnpeK\n4ziMu+rmq47u+oPO3f7L5lEzr/sPTyju9fxoBpN5xs7ZS+69TykSib46UNi43+JhjTz9ularxTk8\nQZ/OpMYZ/65j2CsLDjvbm2pAJFXM9bqd33z5+UYKYO2KrutarRYTSuRfsTjc5MwJsw89pgr7lfD7\nPksaPv7JgfhacXl88Lqdg2ate/XxXAPh95sZTBbN4QtEOOPMXx8iqbzrC4GnjpqsubQR9g+P0+H3\nuBwWLl/Qb68RCIIgCIIMTShZRi4L9z38hDAyPu1uDlfgPbTt53ScyZCJZPJ6Fk1V/bbp3SyBSMp3\netyyiMhIZlFRIfHamlfr+2tsHMdxmqYBZzAgfez0G3AG83udTveDvqHmN8Lnu5/JZkNsWk766e0Y\nTBYYWxv18uAwcfcZOhaHm0H4fcbakvzWlJGTYnobl83lRd52223qzz//XN9V5nTYidCw8PBjeuvy\nYKH3q55b0oMmARsstn/zgdlqNrJuuPeZeIok462mjs/fvvJms0AijXVYTG6uQORgMlmRYnnQmKrj\nuURManZ0VFJGpsNiXKAMjezzcV/nC2cwBsVzvjRNg7lDTw6fetWQOQbqQpGE3xmVmP64oaHy37Ok\nAkEQBEGQHqFkGRnyXl3/+QfqCM1MZWikOigsCtJGTwaaouCfLd+RrRXHGQ6LOYjN5vzi9XhspSXF\nceHhkff15/gmffNxt8NG8kUSBk8o5kiVwcu0Wu1PzdWlu5pry49EJQ7L6a2tJjU7ubGyWN+9bNiY\nqZEYQHlEQlra2cYVSuQhJH3qz7Db7bbvPny8iKCkKUIWebyHZnyvu8dHnf+1jG3NRHz2OGFkQhoL\noHNGfcLVt9zaW/200VM4PreLEkrlOJcvGLBEGQCAwWINimS5vam2Q5OaJQ10HJeCTBUi87lda70E\nmRDoWBAEQRAECSz0zjky5DmsZnmoJjGm+0ZMGI7DuDk3Bo284mYNAPB8bucsn8eT0djQ8NvKFc+X\n9se4Wq0We+X9z5aqI2NnlR/d/ylFkgAAoAgJj4/PGPW8QCzl7f7xi7COlkb72fqJiE894yxdFpcn\nN7e3nnUpusdpt/o87pN15lx7yw2NNu73JAFlwUJvi0rg/eL0NjqdzkGSxF99vsl/AUVwGDMqcRjr\n9I28esMTiEAolV+S104mi33WNzQdVrO7JHdPrcflpAYqBqO+2eX3+ZhyddiQeO74YnlcTvB63P9s\n2vCJN9CxIAiCIAgSWGhmGRnyxHIlh6ZpOD3ZcdjM1MGtm60AEOT1ujs4HPaTBEH0aXftPsJU4TH/\nDY1JGNlYWZxrMbTZ5eowkVwVKgmPT7vL0FAZx+eJfzq+d0vG1JsWjTmfjhMyR+eQ5wjV63a16XQ6\nD0Bn4l5iYC+oNguuELCIK6Mk7tV//vJ/rT218zgdzQAAJOEHBhOtyB7MaJo+ZYO7tobqZp/b5fH5\nPJjP46aFUrkiZcTEmIJ9fzVmjJ8RMRAxmPUtZnWEZkBn0AeTvB2/HmlrqOp1ZQGCIAiCIP8eKFlG\nhrziQ7tuj0hIq5OrQiXdy+1mI+FxOf1svuhPoUjIx2lKaWjXf99f4wrEUhWLw41hMFkQnZw5ovu1\nuGE54SZ9Y6bHbsUEUgVpNXXYJPIgcV/7xjAMmCz2WeuQpL+662ODizWl0cabAwAQKvK+HitzP3+0\nl3Z1pcfedTtsekNroztzwqxXQ6LjVX2NC7l09A01XpfdKqMpCjAcB7vF6HTaLKzYtJwzElcOX8Cz\nGPQ2qVLd539jfRWdnBnW0VxnbW+qdTfXlLEnXvtfeX+PMVg0VBQbbaaOV9GRUQiCIAiCAKBl2Mhl\nYOOnH1taaso7rMZ2b9dSaACA0JgE9q2PvhyaPnrySCaLO9JssTwvlcqS+mtcvkgiqirMLW2qKjP0\ndH3k9Lmpo6+4KQUA+Ibm+n7945siSbBbTFVdnxvdrDQfiWMAADjQLWf7Y//d1142PfPAwvXRyRmp\n/ZEoN9eUezwux8V2g5xGHanhJGSMVpbk7mk9fmBHi9Nmg9i0nB6/X0nZY5UWg54uyd1TbTHo/S6H\nvd+WEDNZLBBIZGy7xeQZf/Utl22iDABQV5avf3v1Kl2g40AQBEEQZHBAM8vIZeHAFt2wqqP71llt\nttE3P7gyecsXay1J2eMhNn24lCsU8YEirWp1SJ2pQ9/cX2Oy2FyLSd98Y0dTrZrDv/WHoNDI2NPr\nsDlcyBg/62S53WzwiWTKs08ZnwVJ+KGhoqjKpG/5varw0BNd5V4SPznbaPGyZgLA2nP1heGMjL6M\n2dZQrWdzuBK5OuyMI6fam+vqD/z+9Tdcvvjeq+56tN9nNf/tmGw2pI6aHNKXutFJ6RKKoiSNVcUe\nj8PRkJg9pl82qGpvrmslCL84c8LM6P7obzAi/H7Yv+U7W3tj3euBjgVBEARBkMEDzSwjQ55Wq2VI\nJBKu1+2y+ZncLw5u+/EnDMOse3/9SrpxzdNVB7f+ZGIz6H1KhSyTz+fN7q9x31nzYsd7b6zWr3/3\nzUKroW13b/WYLBYwWSygaRr++vZjA0VR0NFcb7qQMa3GDlf+7q1/UCRBZk++8qOHnnouEgBAwiEt\nXXUICgvvS19VBYc2Ou2Wc85AVhfmlotlQWckyoTPB/qG6m80w0ZVzbz1XuH53AcyMHAch6iEYVwM\ngz6dpd0XhpZGP+nzefqrv8Govqzg+5aa8qs+ev+dzwIdC4IgCIIggwdKlpEh7aa7lybSsWOfdQCv\n0soLuYnMuenFiuMFmU6L8VahSHId+N0Yiwkdfj8xOioqmuJw+QNyFE9bY43+bNedVrOnoeK43mps\nb2+qKmk4fmDHcb/v/FfKmtqbLRnjZ0weMf3aR+IzRt2uSc1eDgCAY3QpjnWuvKYBzpm4arVaJobh\n9+gbasje6vi8Hrqy4NAOY1vj08cP7tjZ/Rrh88G2bz54q2DPljcdVtOdbC4PvZYMImJl8Dl3U++r\nlBETIoVSBbvsyP6W/uhvMDLpm5kbPlq/N9BxIAiCIAgyuKBl2MiQRspj3qSjcib7EybyTxbKw2V2\nvuxDrK3cwRdJn2EApXU5nccO7t+3a926dT8NRBw4zvBSFAU43nPO2FJXcaA8/8CrUqWaMLe3rHM7\nbUdcdttoiSLovI7jCdMkhXL5wtCuz2matgMARCnw+nIj5XMTDLbLzwifeMWtw/b88VVP5yx3IUOi\n49Wa1Gz+6Rdomob2xtqGwgPb15A+3+6I+LRbQ2MSTlnSW1Ny9C+X3fp90ohJi4eNmTr6fO4BGXg0\n6acpmtXrGyHnSxYULKJIwl1TlNesSRt+We2M3d5cb9Y31qLnlBEEQRAEOQOaDUKGNpf5EfB7bN2L\nqOy5EqyxIIHpt43wEeQCDIMnNmz49PZ169YN2BLL+tKC1ZXHDv5pbGvq6Ok6m8sPb62t2AYAcnN7\n68qWmvJnGyuPn/d5zzyB6OQRWa11lbUdzfVfAQA0mah0H4mxAQA8BIPb6uC8Of2q//T6rGtEZNQ0\niiSaa0vym06/VlWYu2PrV+vSbPrGIo/b81rGhFlPdT86qK2+qrQi/8BdySMm3J4xbsZKDk/AON/7\nQAYWhjNYABivP/tksrlswu+/rM4ebquvai45vPuBd1976atAx4IgCIIgyOCDkmVkSNu89oVysLX9\ndno5PeMBl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uzCSIlTEC7pvskfTnn/ueQBIgiCIAhy2UAzy8jQRhKes12mg1NGO90leS3N\nzYPu6KieVBYcepwnlACTySJrS/OfTxkx4e2e6nH5gor68uNfNlaVjA2PS54YlZieDdC5I7LLbm2p\nLy/clpAx+j6+SHLGs8t1ZYXWtvpK4+hZN2i6l1MUBc3VpQUV+QfuEsmUwdHJmW+pwqPjB+ZOkYHg\ndTnMPIHwlCXzHc11ekNLozc+c1QklycEaZA6UOH1i+zkGGisdbtIpoB/1oo0BTy3/vAlCgtBEARB\nkMsQSpaRIQ2ztf1D+9wksM/c0AoAgJKFq0prDzl1Ol2fj9QJJJ1OR+h0uocBAJ5b/c7j0cmZt5KE\nH4xtTVanzZLnsJpyBWJZIuH373rhqQd1AKB7/5vfvwWAbACAA1t0n9eVFrzHZLHCaZrGTPoWc2tD\n1R42lxdWffSgjCMQbMOYrJCJV98yFwBg32/flI6cPjepo6WhoaboyCtNVSUbuQKRKnnExM9Qojw0\n1JUXWhwWk4nD5RFhscnh3a/ZTB0ugiAEySMmqAFgyCfKAAATJk4MPVb1f/U1zMRed/6WmYsJvqfd\nynO37bmUsSEIgiAIcnlByTIypG1+d9X+G9akHwJlzNiThU1FbmBzCVDFiYAkgAaQnqWLQemBx5/O\nthj0D7bUlv9fa13VtrIj+35js9mCm2/570cut7PkniW3vdtVl/B5awAA/D4vkIR/86YNH3u0Wm3N\noW0/ah1W0yGbodUSrEm5IT57zG0CiexqdYQmHDuxVFUZHFG799evl7XUlG//YtNnTgCAhQsXLuAK\nhLEBuXGkz2pLjnVQFOkUyRTS6MR0TU91cAaTSRLEoN/g7nzdcvXUsNd+PW7xcuQ9/mybZalMj1vh\nytvwiu1Sx4YgCIIgyOUDJcvI0EdD5zOapB+wbW84mRxeA+l1hzMyr8r3u+wmTF+5MsARnrd3X3v5\nqFarjVz7+ssUAMDnX379mjIo6Fa/38/EAIK71+XwBRoAgJaa8tzyo/u3AgDodDoKdLofAAAefWbV\nA+ljprysCo8RnD4OQRIY0+fAuhJlAACr1fqyvqFmplwVOvb0+sjg4HE5gMFgeGJSMqPPVk8okbFr\ni4/UhscmDcljonrT1NhoJXBujzu0d6ExBv/a/9zJ+fmbz7yXKi4EQRAEQS4vKFlGhj6f8xgADAcG\nCxiyYAdlNbD4UmW502UvFTmaMSfAkNz5V6fTnYw7LDxi3Nhx40O2b9v61bY/t9zdvR5N01E0TYNJ\n37xbp9P5u8oX3r04IT573PLo5MwZMlXIGYkyAEBLdVkW+IlRAPBTt3H9ytDI65xW05NsLq9DX1eh\nkKjDY5Jzxk0SyZQXvMM20j8okoC60gJDVFJ6aF/qB4XHCNoaqn3BkbFnbPw1FBEEAb8fbXCRvOje\nd/2mKdA0/KSwiOL+mHXnE2//+dmaXy9hiAiCIAiCXCZ6fM4TQYYKrVaLibis2V5ZzAjAGUCFpAnp\nmBFyX3hWKCiiMnzK2DRwGFQpiXE7SwqP9bxz9hAQrFI14zgub25q/HXliuV53a9poiOddlN7VFVh\n7j35R3LdAAB3LlzMiU7JejIufcR8mSpE0lu/pXn/HGyqq7yzpKTklGe68w4dcKZnZtUSPl/tqyuf\n/nLHll++00SG23AmUyFVqiMG5i6Rc3E5bHTRwZ1N8ZmjgngCUZ/e7BSIpILGyuK6oLCoIbsD9kef\nfdlQ29BoDAmSSv74c3tDvVcgJZiCHo8qwygC1IZcV6t6PO3ihypEjvrNVQUHqy51zAiCIMhlb4Vq\n4vwBH6Rj7xcAAENuleTlAs0sI0OaTqejtVq4H4JSZ0OQJgYYTDjlnzWTg4NAfhMIFGHzbr97/uZN\nH9sDFuxFWLPm1a1r1ry6tadrbXWV3xNOy75PP1xn7CqLTs5cNnLG3EdwRu/vh1mM7TapImjTu6+9\neHIGe9WbH9wmDw4bSVMUro7UXI9hOHz4fcZBh8VYU35410tMNkcelZg+5vS+CL8fCL+X4vKF6Di6\nAVBZeNgZk5wpKD+6vzlz4uwIHD+PLzOGAdBD+5hAC4j9ZVal5ugPR1xuXlQUcLEz6mAUCRy/xcj3\nW336oBEhgDGA7bP6ccrXHICQEQRBEAS5DKBkGRnydDodpY3M+IoSKp8CNo8JpmYvpi+rpOURzaCI\nnkQnTFJguz4cBUAO2Znls9HpdD4AaOxeVl9WsFWuDr0xMXts8un1Da2N5vL8Az8CTTeveurBL7vK\ntVotFhIT/0RUYnpq9/oSheraziOpbH5jW+MnDeXH54XHpWR3NNeZaBpcVQWHa9xue6NMGZLo87qD\nR828PpzBRC8t/aWm+KhFKJH7GyuLTYlZY4LOlSib2lscUoVaiDMYoG+sbTO2NTmiUzKH7IZtNrOR\nxgkXm2YxMT9TwGSQHppk8k5mywy/0yv16w2TNXxBcnqWJDc3r+NPc+ebRCJH/Z7fv3i/MGDBIwiC\nIAgypKG/aJHLQ0PB85i59Qtg8zW4y0xxcdLmbjyWxw6Jv98j10zAuPyfdJ+sdQc6zEslPnPUtQlZ\nY85IlAEA2uqrt6987L67Ti9Pyhl/u1QZnNBTGxzHIT5j5CKHuYM+8vdP1+f+/euzmrRstlimHJE+\nYcYIsUw5sb/vAQGoyD9oD4mJ54mkipO7PlMkCfUVx1tCouKDuXwBDgBgNba7BSIpz9DS0OJ2OcTN\nNeU1LBab5PKFkpQRE+ICdwcXTyxTYA/ecUNE3oF9RpVKxS04csi9358okFKmZhnDQ03IiJWmpF0d\nxmR1PpKtlEn4YAZgey1uibN6fYDDRxAEQRBkCEPJMnJZ6FyOrW0SCIUtTrfDnz56zO609Az1tq1b\nVr25YuENixYvjgx0jJeSNChkZNfxUN21N9U2tdZXvtO9bPG99ytC49M+Tx8zbbJALGX11qdcHSad\ncO38x5qqSrLKjuwLzZo4O20AQkdOKDv6TzVfKA3yuBxOU1tzh9Nu8eI4A3weNy4JUgdXFR42AAZu\nNpvnxZlMqQFrJOXq0KDg6DgWAAgDHX9/YrFYMGbiFEXB0SPGY95QD5eykE/dNiuayT5zz7LYhGTB\nZPPR6ubaSv1Pn69HG3shCIIgCHLBULKMXDaSklOuKCst+R4AsJzhI0mhSMjDcXwnAMBHH37YEODw\nQKvVYgAAIaFh0a0tzXU6nY4+V5sLcfe9S8PqywpVsWk5p5RTJAn1ZYWrX1v59D/dyxNyJryeOmry\nFX15DpbN5TE0aTkzo5Mz+zdo5KTiw3saWGwOGRqdoBLLg0TFh/fUYBgwU0ZMPGUpNUVRvPN6dvky\nUFFV7R0fLqNVQWqyp0QZAECmUDKvnjUt9o/PSz6/xOEhCIIgCHKZQckyMmQ9tWzZeoPB8IjVYvFp\nNLGZL6xaufnEJfrmW+aLfvvlJ/Mbb7xeF8gYAQCWPvDgmNTUtGyBUHhXQmKSKCQ0NOqfvXv263S6\nyT3V12q1GMHgx//4f5sqLmS8tNFTf03IHHXGrG/+7i3Vlcf2f9297KGnnrsjTJN43fkmXWfbOAy5\nODyBkNSkZp88F1kREh7EF4i4p9f7tyXKAADaG2/s03FZZUf/qSQJ35aBjgdBEARBkMvbv++vLeSy\ncK32FtHBKkuWz+tlJiWnjJw8ddrW555fntJ1vba26ouQ0NBNgYwRAODpZ5596O7FS7b957+3vWc0\nGgw7tv+1/dOPPjze2NgATz/z7NTudbVaLWu09pE1HaDYepRM3jdS+8jb12pvOa/ltIvve3BOmCYh\nlcE8dTW11dRhNLW3vOm0262ntsDy3E6739Da5LjAW0T6GZvDC2qoOG7u+jw4QiMSy4N6XR6PnMpl\nt/ra6qo+e/+t13IDHQuCIAiCIEMbmllGhiQ2+B1GUDBMbvlvk2JiXujo6PjohVUrS7quV1VWcjkc\nzupAxggAQBLE/u3btu52ezwFx44eeV6n05ErVq66yWAwpovForkAsAMAYJp2kboAIr5rgdCJNGAA\ngIEJlA+6ga8ZpX3k00ho/KUvy7ZpDA6b9C3tYrkqvKuso6XBVFVw6IPXVj2z7vT6b69eVbRkqf15\nNl8484r59881tDa2+bzuRrk6LJ0nEPV4ji0ysCzGtvbUkZM1gY5jqDq6e0v+6uVPvhLoOBAEQRAE\nGfpQsowMWT5gc0aFY6WtLS2WgmP5z3aV33PPEskH69e/EMjYurz66urDWq326u6J7orlz38LAN92\nfa7VarFm4K1uhvBTdpSmgAE1EHs1G7xXkMD4DwDozjXeR++9Y+Rw+flRSRnhtaX5Lfr66npzR9v8\nt1evqu6tDelz/ehnMJt//OjVdNLjGvnxRx8YH3121WOZE2avVkfEoPXWlxiXJyR72pwNObe6soJq\nY2vDU4GOA0EQBEGQywNKlpEhQ6vV4gDAcoAgvBrUa3CgWgxN1avdTZ5SqUwmXb5ylYyBYS/hDKYU\nAOYEOt4u55oRLoGkr5sg/Maer9LAB1eHH1gZ0IdkGQDA5/WU7di8odbtsH/QWldRdrbxtVotxuCK\ncIokanhC0VpMKFYDgFGmCr1erg5FiXIA+P0+9HjMBTC0Njra6qtffv+t13YFOhYEQRAEQS4PKFlG\nhgwXLnqknZLf3gKhkRaQiQEAYqDmCAWYDQBe53A4QNO0vEPflh/gUE9atGgx96OPPvT0dE2r1WKt\nEPxLEYTPJIDdY4LEBIIWg+0gAUzWFdrb2X/oNvnONeaHa9964lx17lhwl0ysUP+RPm5GuEAsEwtE\nEjGHL4DSvL1vAcAjfKF4L5PFHtNb+6bqMiI8Ngm9fgwAnMEYkF3SL3dVhbmFx/dv/yzQcSAIgiAI\ncvlAMxjIkBEh43zsBoG7K1EGADCCwo0DrfITZKbf551ptZgr33777UGzDLO3RBmgc8aZCcQ/SmjT\n91aHABbWAFFz7SC6VgCufouLxRVkTp23YHRkQlq4IjhMzBUIAcMwkKtCr9FqtcyigztfbKgoqiAJ\n4mQbj9NB1RQfPbzvt28+zNvxazFNo5xuINAkGegQhhySIMBi0O8ZqOPYEARBEAT5d0IzQ8iQUWaE\nm33AVHQvq4FYgQBcziY7a7zC7riroa52Z6DiuxC7dOtXz775nu+ZJGxuhMj03upxwfOHTqc756xy\nX4XExC/m8s/caFsVHhM74ZpbvmusKF6x95evxsiCgp9LHj5hRltDVYWhpXFXYvbY1Lj0kTNHTp8b\ng56rHRgsNmfQ73ztcTro2tJj9RJZkDA0NlEZ6Hg6Wuqb3daOVYGOA0EQBEH+JcYBgAYAvgh0IAMN\nJcvIkHD1fxbO85BkhpmWhXUvl4PR7AfWWjk4WywmTwMAUAEKEQA6l1arg0PGv7f23b19bbP1/z6o\nnKK95zoGkB+0Qsg4L3D5PVTr11UgNA2hDpvZKZYpBacMwmBAUs7464LCojPam+p2t9VX1rkc9rr0\nsTNm4wzGHL5IcsZ5v0j/0TdU26VKtTTQcXRn6dBTYrkCxxmdvy5K8/YZHVazZ/jUq6IdVqOjcP/2\nWsLvF2RPmqMKRHyEzwcV+Qd2edweDgC4AxEDgiAIgvzL/AMAwYEO4lJAyTIy6F2t/S+vnIha2wxh\nwQD/m83kgcsUgbcf2/7t+y8BADz40EMsm83aaz+XCM/r9VwBAH1OlgEAduo+qAGAmUnalbsaIXLS\nKR2Cy6UEwxcV/RgkTfnb83dvaZ40d35CT9cVweEaRXC4RpOaRXF4AvS4xiXQWFnczuEJCUVIRGig\nY3HaLFBfXtiM40yPVKmSmDtaPEwmG6NokohOzgzhCYQKAACRVClMHztdaLeY3MWHdhkTc8YrCK8H\nmGw2MFnsSxJr0aGdR8uP7r9dp9Oh9esIgiDIvxUDAHr7PZgNANcBAB8AngM4+VxfT+XPnujrbQA4\n2x/V8wGg+6NPbAB4CADWAMBEAMgCgLkAcAcARADAWACIB4AnAMDcrd1kAJAAQDsANAJAU7dry3uI\nY0wf600HADsAHDrLPfQJSpaRQc+NCSf7aJYTAxpioaqdAqyhBuKGy8BMeCns5NnB77z9tj+QcQIA\n6HQ6FwAsu9D2UrAUG0E+xgVCNgCAEOx1EdC0Yb/unSP9Ed+CBQs4foK8VpMyfEZoTIL4XPVRoty/\nKJKArhna03ndTlNEfGrSJQ7pDE6bhao+nts6bMy0MAzv27dfJJXzknLG89oaqtqYLA7L0NpojU3N\n1nAFZy71729ydViCSKa8DwDeHfDBEARBEGSAOesLwFlf0JeqaQAwFQC4APDzibI58L8k9i8AKAGA\nmwHgKehcOj2jW93Ty7dC5wotIXQusZ4LAK8BwGMAYDsx3mEAGA4ALwBAfbdYrgaA7Sc+3gMA+wAg\n8USd+hOfPwMAUuhMlmdAZwKtAIC/ASABOpP1qwGABQBV0Jlc33LiWg0A7DzxMRMA7gQAPQB81K2e\nFACcJ9r+AQCrASXLyL/B9BzN/UtT0ow7du89dLje9UO4iJTw7EWhAnAWsMC/JdDx9acIaLpfAra8\n45C2wgHCiFBo+ShPt+aV0+tdOfcmTqONt5KB0fn5f2/6tqe+erJhwwbvrbffqVVHxopxBjoZ6lKh\nKAqKDu2spSmKkzFuxikzxx6nAzAGDjyBKChQ8XVXW3qsedjY6RHn+0w6g8mEME1SMABAUGikovzY\ngcrknPHxAxJkNzyhhEX6/W0DPQ6CIAiCXAqCqAwQRGWc/Lxj75c9VcuBzlngLwHgdwDwQGdy2n22\n9/RNL3v7xd5VfgV0JsxaAFgJncm060Q/n0NnInscAMoBIB1OTZajAGB/t8+vg/8l5QCdyWztif/g\nRF+PAMA06Ez2uxwBgAkAoASASgD4GjpnrL8AAAt0JuorTrTr0lUvsVtbgM6k+6KhZBkZ1JYtezpd\nJJEQ0TExyik0LZHlH5EYjQa9gDI+sHHjRmeg4+tvJ3bz/Wy8dmkdBrQiGPTf93QOltXLnFVj4T3J\nYVC2qVfecnjH71/X9lDtDIsWLZKzxPJUFvvSLJFFOlUfzzVFxqeqXQ6bqTz/QAVfJAkL0yQJCL8P\n6ssLG9g8AdvvdlHN1aVGt9PZARjw4oYNjwIAOLZ3W71QIuNoUrOCKwsON5Ak4dekZsf2tEHbuTRV\nlTrD45IFZ6uDYzhc7OZtOIMBYlmQhPD7Bnw5NkX6KYL05w3oIAiCIAgyuByBzoQ0FgDuAoBdAFAM\nnYns6f4POhNM3on/j4fOxPP08kcB4EcAmAcAD0JnwvzqiT780LkvUNf/nBwA0gAAIABJREFUT196\nlg8AKQDQeuLzmQCw+MTHWuhctr0FACIBoAEAfgOAJdC5RPufbv3IoXN2OwkACgHgHuicMe5K/Gno\nXHb93ImxPjlxz/dAZ/Luhs6kmQmdy7AvGtrOFhn0Hnn0sYxh6RnvK5TKjtaW5qaCY/mPuN1ucU7O\niBfzcg89sXHjxn75YRgqrr3+RpHTx0jKbZUc8JIMRqbadvPBP7846+zy4sWLY1hszlUms+mJObc9\nGKIOj0bTypdQ8eHdzSkjJoZhGAY0TUNDxXEDTVEEg8nCwmOT1RiOg1Hf3M5isTlieZCkqaqkkfD7\nxXaLEWJSs9hOi9nmJ3zskMhYGUkQ0FxT7ohJyTzvbLkkd28T4ff5OTw+QxUerZIFhZyyYZvH7QJj\na2NbmCbxojftoCgK6ssKm71uF5GUMzbqYvvrTUtdhW37t5/Efbnps46BGgNBEARBekCnPrNtwAcp\nfmkmwKXJ2SYBwO6LaH8bdM5ADwaToHMWu+FiO0Izy8ig9+Ybrxe8t+6DUqvV0lFXW/vXuvff9wOA\nMSwsosTpdDoCHd+llDP9tvmHmrmvAADLS+IMDGjgMKhez2kG6Nyh2+vzZbrdHidfKHmwpijvdrup\nIyMufcSAJTD/BoTfB7l//6qPGzZcGhQWxTlbXZkyOMhhNREiqYKJYRhEJaafcdySQh12cjfp8LiU\nCKuxnQiJjmdyeHwQimW8rmsMJgs8TnsbAMSdT7wepwNwDPenj50WAwCgb6xtK8nb6xGIpKFup80S\nlz5KRfi8wBOIJOfTb29wHIeYlMwwr9tFVRflGWLThg/IEVM0RdM8viAUAFCyjCAIgiAX7mISZYDB\nkygDXPy9nISSZWTQu/+BB984Xnjs6TFjx/85YqQq54477ji8ceNG54svrFwb6NguNbuPOdbiZZ08\nPovPItwyrr+nldonSaRSLg3YDAoD6Zg52syCfX81JWWPUwMAUCQJfp8X3E47YTN1mCIT0gJy/M9Q\nVF10pCFr4uxwl8NmL83b20iRFF8okUmddosbaPDYLUZcFRGDC8Uyvr6p1hyqSYw8n/4lClWvr89s\nHl9MEAQwmed+CTd3tHraGmqMDAbDm5gzVtNVro6ICQ4KjQR9Y407TJOoqsjfXxURlxrn93n90Lkk\nq19weHzc5/F4+qu/7miahpK8fQc+Xv9en3ZCQRAEQRAEOR8oWUYGPdLv30DTtMvn9Tp8Pm8Wh8OZ\nCJ3PPfzrCFiknYlTJEHhDACAMJGnkcWgT9/A4RRMJpNiC+Xy0XPmXa8MDmdx+MJIj9tpO/L3T0dq\nSgrsQon8Q0t7S5ufpB9KH/v/7N13fFPl+gDw52QnzU6adKZ70Ja2QCm7bNwDJXr1unAhQ8Q90Ose\nqDgZIoII6tUbvY4rDkT2plAKbelM27Rpk6bZe57fH6X8agW6B/J8Px8+TU7e877Pyackfc67pl+W\nO+WyYbXP73BFpdJIFieMwuKECcSySAEAgN/rASqdwaFQKBDw+0FXX2XwuJ2e7Ikze5Qod4VCUJzl\nhXvVbqedQWeyglnjZ8TRaDQw6rUuc0uzQxIRLRGFR1J1mhqX3dxqGDFm0jlHEVCoVIiMT2EDAMQk\nZYS3NKprEzJGJ/RnrAAABEEQDdVlltjkjH793Qr4fWBvbf6jP+tECCGEEGqHyTIa1l565dXs8PBw\n6ckTRcyamurrrFbrbBabvb3rM/+eiv747Ilxc+4wae3Me0kA3qgEtuazDZ/ZLnTOR2vXeh9YsnTF\n7m82MUQRUWHG5sZX/D6vkUIG8+x22xYqncEaOXnOx+ljJt1MozOgqbbi5Im9vzXO/seCK+mMC44u\nvqQ5bZa/3KSgM/9/CjCNToeY5IwBWeE6IXPU2YQ2GAhA+bF9apIEJoVCkLEpmUK30+EsObzLzA7j\nUVJyxnVruD1fLBXwxdJ+GYLdWfqYSdGVRQdN/V1vS0NtE43BUvV3vQghhBBCAJgso2FO19RkNhuN\n9LVr1x4/c+g/QxrQMHB42+Y3lErl2wBARMlTx3XnnI9WfVD0z9tuWxIKeljr161TnzlcBgDw/Fsf\n/pqZP7WAoFBA16BuPbFvW1PejGuz+pooB/x+oNH7ZdX+YSUUCkHp4V31SSPH9HkRrP5ApdEgc9y0\nxI7HeCIpmPRab2Lm6GGxHZXX7QIOX3jBVbh7yu/zQu3pE1+temdFfdelEUIIIYR6DpNlNGwtWryY\nroiLPyQSiYzPLH/2rddefWXLUMc02B5YuDAtOjom/blnl3fcqw5UKlXgzMN93a3ri88/bzrX8abq\nsu+2bnr3aBiPXxACqiMtd2KmLCY+tg9hAwBA4Y4fyz0u5+YIRZKARmdEBvw+EYPFbgmFgl6CoHB4\nQvFkWUxCjxapGgqhUAgqjh9oJoGk+9wuJ18cHkwdNSGeyWJ33jZh2LCZDD6CoNgJghgWybK2plwX\nPyK7X28ulB3e/VVLY+2T/VknQgghhFBHmCyjYWnhwkWTPG6vq0GjuUnX3Ozyej01Qx3TUPD5/Dqt\nVvv2a6+/8c+o6Bh+acmpW996c0W/DWe94847eXQGU5icPe4ys6HZIgyPsMSlZ/c5UQYAGH/ZjemN\nNacfpdLoVpfNUmtp1TWLwiPtLA5XAQD8JnVFndmgY/g8nvroxNQEsTw6pj/a7U+hUAhO7PlFmz1p\nTjSVRgOCIAZkRef+pi4tssSljeQNdRztSDIIQPTfvYX9W7/eaTHonvrog3cCXZdGCCGEEOodTJbR\nsCSWSmfqdbo/Vq/6cH/Xpf++7Darfer0mcnxCQlWm9UqZ7PZQgDoU7L83Bvv3cATiJa2NDXQRk6Y\nkcmXhHPCeEJGP4X8JzFJIyQAIAGAxKSReX96LS49G8yGZktNyTH6DtUnHxFk6PkbH3xxWIzb1lSW\n6r0uB8nmCcQjxhZEX2zDyXOnzJFVFB1sCvj9+vBohXyo44lMSJM0VJzSx43I6XMsrU0aj9/rWfH+\nm6/g8GuEEEIIDShMltGwcuedd3Izs0buycgaKVF99eV7Qx3PUFOpVKEwLndsyaliDp1Gn/jhhx+o\nuz7r/O64485xTCb7rtypV07trxj7QhQeKeQJJUZJZFxazuQ5xFDHAwDgsltJKpUSTMgYFVV16ogm\nKj6lX1eyHixpoyZEnS7cZ+bw+L4w/sDcDOkuDpdPJ0nSAQB9SpaDAT+UHNr54mvPPvZbP4WGEEII\nIXRemCyjYUUkloxNH5EZ4/N6tS6XyzHU8QwHmz791AEADgD4vq91RURGpoLfyTdo643SKIWEIIY2\nP21prD2t19T8PuGKeW+yONxB/TxyWM0kVyD6yxtQX36yJj1vcjJBEDBizOSLMlFuFwz4zWF8oWio\n4wBo2xu6/Ni+6vQxk3s9T11TUbKnqvjwiv6MCyGEEELofIbtAjXo0sRkMHhabWOT3W7fCgAX3D8Y\n9dykyVMue/ihh6aGufW6xmPbyzQVJ2sDfv+QxGJuaW7e99NXqtRRExaxONxB7fl02a0hfYPaUHpk\ntzrg8509XltWpIvPyI0d6psI/YVCpQ6b/0NRCanhsthEqbG5wdWb85vUFWpNVcnDKpVq2FwTQggh\nhP7esGcZDSsWi2WnsbXVFjt6dEpCYvJsANg21DFdzBY++Mi0Vl3D7vYEY+vWn7itra3/ZjKZnsLD\nB0eyhFJ10d7fmv0+b8S0uXcmSCNjByVLtJkMpoqiA49njC24Vh6bmDoYbXakLj3WmDV+hoIMhWRl\nR/fUjhhbkABkCAggPOww3t9ic2lDk8YdoUgakH2Te0ssixIW7/+9TqepARqDGSIIgk6jM/iKtGwB\njXburyOnzexTlxxfV33yyIq1H7yjHeSQEUIIIXQJw2QZDSvr1n1kX7782WdqqqpGuZyOS3pxr95S\nKpUUgVTG5wokkpikER9JIhW/gkq17PY77ozIv0w548T+7TouX2TOmny5ICUnPy8UDIK5VRcQiGWD\nkig7rGZrVfHhJT6PW5KaO/6mwe7FDQUDECYQswEACAoFUnLHx1edOKz2uOyUrPEz4gc1mAFkaKrX\nZ+RNiR/qODrLHDs1nkKlAoVKBZ/XQ4aCAbLk4I767Emz4iiU/x/s5HU7/U21VYdam+p/Wb703teH\nMGSEEEIIXaL+HmMNEbrEKJVKQiyPnhqTnFHA4nBFjVWlWrvFcEAaHX8Lk8XhiuXRV4QJRL64tOxY\nt8PmOnVwxzMn9/++WiCVl2RPmh0Zk5TOpzNYwGRzBi1mkiThu7Wvl/HE0rVWY8vGCZfP2x+dlJ47\naAEAQPXJIw0MFgeiEtJiL7YVrnuquqSwKjkrL2Wo4+iOgN8PdWVF1SJZZKQkMjbMabNA2ZHdq5cv\nvXfJUMeGEEIInQeZuXzgB0CWvjoHAHO2IYM9ywhdZJ5++a0VHL5QqEjNujVCkcQFABg5YQZYWnVu\ngUTOpnYazsrhCThpoya8ZNDWTc2bcU3EH//Z8FVLg/r6gutukw1m3ARBwMhJsyoW33LVqrc+/vKj\nqMS0QU2Uz/AqUrN6vcDUxYRCUDg6TU1ThCIpaqhj6QqNTofknPzksqN7avSNdaKiPb9wmCzOE0Md\nF0IIIYQubZgsI3QRuePO+VKjvil6+o13/bPjcYJKBbE8mn2+84ThEfyr7lo212rUe2TRirjGmnLu\nwEf7Z2ZDc0tLg/rN5a+9c3Pa6Anzh2IRrYDPf8ncmU3MHB1dcmiXTh6bCBfLgmXJ2fkJfq/H43U7\nNz35wO29WggMIYQQQqi/YLKM0EVi0bLHEwQS2Rei8KiE3pxPEAQIpRGs2bcuvKy/Y+sOvUb9HwqV\nxsgZP+39wV79up3f772kdgCQRMYwzS3NZrE8alhsH9UVBpNFoRAUjkmv/WaoY0EIIYQQwmQZoYsE\nixP25LjLbhzP4fL6tZvQ53GTDBZ7QLsegwE/kGRoolgelS2URsi7e17A7wObuTUolkVR+xpDc12l\nPX5ETrfb/juIjEsWnTywvVYkixQNx97l1iZN0Gps8Ztbmr/gCsV2vjj8SiqNxlGXHNs11LEhhBBC\nCGGyjNAQUiqVDJVK5eu6JACHJ2hisTn9nvEc3/3zKQDCLJCEnwwFg1Fpoyfd2F+LX2lrTjcc3/Nb\ndVxqVrlOU/Nm5ripF1zhPBQKQX15sam1SaP1etxBKpUmFYZHSPsjWdZpas0joxMUfa3nYpOcnZ9w\n6uCOupSc/Fh2GK/P72N/4vCF1D9UGy02U8sDABAcVXB5mjQ6jq5SqYJDHRtCCCGE0LD6wwmhS8kD\nCxdy/T7/v0eMSP+2rKws1FX5hDjFYRLIWdJIRQyF2vZf12mzOM0tzWYmm8P1OB0hGo1OEJTujzQ2\n6ZuMNSXHrqdQKHU0OmN6a5Nma/3pE1qeODyNwxP8ab9hl8MGNDqj2/NfHVaTQ11y/HGHxbjKYTHt\nDPh8Xr/Pq2msKv25RVunlUUn5FGoVPC4nIEmdUVx6eFdJ5rrq6yymER2Ss645Li0kRGxKRn88ChF\nv9zUk8cmCprrqsx8cfh553b/HdEZTJDHJgrVpcfV0shY8VDH0xGdwYSUnHy2SBaVHJc28laBRD7Z\nabdwE+PjTh49dKB2qONDCCGELuAFWcHtA96IYe8WAIAXB7whdE7Ys4zQILv5n7fPtft8rx1p5TnY\nwPjvftX7/u6c99nG9Z75FMo0v9fzApcvGs2XhKc1VpW9qm9QC6l0hs5uMhxJGpm3YOTEWcu8Loef\nBPD7fR5/zYkD9SPGz0wWiGVhHeszaOubK44fWBqVkHpX+pjJDzGYLIrV2DJ6zw+fP7Hzv5sYyZlj\npgnCI8Dv9WzTN6jdbofNyRNJx9PojKT82ddfcN60vqFWW1l08ImXn3roy47Hn375zarI+NRrPS4H\nd9uXa07KFUlVTdVlR8SRCua4y258aSC2c3I5bFBfcbKGL5IKI+OTJf3ewEXC7bDRQ8EgtN9oGS6Y\nbA6RkpN/a/tzo67RX35sv3ooY0IIIYQQAsA9uxAaNHfNn09rdtDfdwL1+mIYExUCKuRC0Zr9qg8W\n96Y+pVJJU6lUgU7HiIi4lPEmXWPdyEkzn2msKmuUCrmVHgrzKpfJOD4iMUVjM5uOUKi0a1xW87L4\njNzbEzJG3cYO453tbfV5PWAx6Crry45rBLIoI4VKtfOEkms5PKEkjCegdpVskSQJu7/fsvm15Y/e\n2X5s8cNPcNlcflbulDlfymISEgDa5jFXnyo86HU5FbEpmWEiWaSwN+9DZ8311Q6HxaQFkiR9Pg+d\nJ5KGxSZnRAzHObuDKRAIQM3Jow0pOfmxwy1hBgAIBgKgLj1eY25peunZh+7bPNTxIIQQQl3AfZYv\nAdizjNAgUCqVFL0jsOwUZNxqBakQAIANLjcNAqre1tk5UT5zjASAgwAA93FYz67/+GPrwkWLD0sk\nkiCLTryfKBMu3ldTvofB5h6OTkxfnTG2YGTnOhhMFshi4lNlMfGpvYmroaq0yNBYtwgA4IGlj9Ci\nElIXRyiSH6RQKeGymAR+ezkqjQ5poyZM6E0bF2I3tbpTR41P6+96L3Y0Gg2AAH/x/t91kXHJFLki\nSTZcbiCQJAklh3ZuLjm0c8FnG9d7hjoehBBCCCEATJYRGnA33X6v0Oilv15Cpt3lAAGr/XgUNO3f\nrVqzqzd1KpVKYsz4KXeEQqHZRUf236NSqbwdX1/44LJ0Co3Bee6N97JYNAoYDTomm8NfZrZYLQVz\n7/qGxQ4TssK4/ZophUIh0GtqSksP7bh1/doPnUqlkhIVn6LKnz33ekoP5lH3FQnkn4a1N6krGik0\nKitCkSwdtCCGqbRRExIBABxWM1leuK+JzmLZQoEAw+NyUJJzxsVwuPxB/05w2a3w44aVfjIUXIqJ\nMkIIIYSGE0yWERpAVyjviq32iD9QQ+L1fmACEzykF1iEACx2GcX0YU/rW7J0WUr2mPFLmUxW+NhJ\n024OhYKhhJR07+hxk7cb9M3H33nrjQoAgPS8gleSRubdSGMwoT1R9bpd8MP6t/blhIX7EzNG9et1\natXlR6uKD++kM1i/vfvGy+UAAAwWJ6yptnJTeeG+5Iz8gqx+bfACBBKZsPLEoUoKlUaQZIgulEbI\nmmsrWjBZ/n9cgYgYMXZKFABEAQA4LCbSaTXbOVw+v4tT+x1JklBw3W21d101yTrYbSOEEEIIXQgm\nywgNIA0oVtVB/LXtU00UoHHWQBI3HAx7t3+99see1LXi3Q+frq+pum/KrCsTaLSz/3UpeRMK7h4z\nfsrd5aeKyt55641MAABzS7OPwfrzos9MNgfmLXlusrr0mHr/1q+L8ufMncLh8jl9vUarsaW1vHDf\nwhUvPH2s4/EwDuux6KQRrQmZo5I7Hv/jj20NQBBkalxsJF8kpQnE0n7t4Y5QJHEiFElnh5AHAgFo\n0daR/dnG38mJvb+ZouJTGeEx8YOeKAMAhPGFEAoFo15btfHJ2tKiVevXfugcijgQQgghhDrDZBmh\nATJZ+eBiNYgSOq7J0AKyQB7l5GE66V7X3XqUSiUBAERElCLiyrm3KHw+b5BGo/1phSaCIMDY2lK7\nbNmynyXS8IccLnu53+sJ0ZmsP41/plAokDxybKI8NlHkcTlcvUmWA34fNFSVacKj42QWQzOp09Q8\n1zlRBgAw8RMr0yURr7DDeKyOx3Vu8DokqcnVWjeISg+qRyXHRrHYYURsQgqzcx39wdqq99NoNL7P\n44bONxAudaFQCKyt+pBYHm0nCIILAGAzGXwcnpAxECuTnw9PKOHGp+c8WltW9DUAYLKMEEIIoWEB\nk2WEBoBSqeQcg8hnrCCMaj9GhQCMpZU75Ty46+OP15df6PyHH3sy2WY1+ZNSM2dazKakuMSU0X/8\n/F1y1qixwBcIz7mUcd6EqZfzuDxNRcmJm1c8+/hLVCqNO3XuHY+faxEnnlAi6u21EQQFAEj9od++\n3ddYVbb8yy+21HUuM+/p9xaQsaNWljbV6TJyA0Ch/v9HDY0MABAEAIMDZlaEfIeRwwK/xy088X3d\nrEn5sRJZVJ+XarYa9WQoRAaaaisaBRK5MDoxnVdTcqwmbfTEpMGcPz3cUSgUmHTNrdKqE4eMDqvZ\nX19x0thcW8GcdPWtBI0+eNkyGQpBY3XZ1+vXfFg3WG0ihBBCCHUFk2WE+pFSqSRCDN5cjU/4z1YI\njwIgAYAAOngD2XCijk247jabPRVd1cPmhGXPumruJ0lpmSK71RIQiiU0ggDD3j9+cVx1wy2Cc53D\nYrOpOfmTEtg8/g1KpfLV1mbNx+aW5vvF8qhzlu8tKo0G8ek5Y22m1l/ffOHpuo6vvf3Ou/n1OiO1\nKSL9FWBxwyyMjKQv/vOfJhpX4syMFotsNkvIwo6QnT2BL2/b+5nOYntMQBVJI/qcKDttlqC69Lhe\nFpPAyMyfenY/6KSReYkVxw+oR+RNTuxrG38nNBoNvB6X5+SB7YHoxHRJTFJGAzuM2+ubKb1RU3Ls\n2OnCfY8NZpsIIYQQQl3BZBmhfqJUKqlGkL7e6Iu6JQhUtxRaT1AhKI2EZgsTXK3J4Zy7167ZUtud\nupwO249UGs1NEIRIKJbQAABmX31jeOHBPXU7fvnBPeOK6yLOd258YuqoyTMuf+ChhfesVaSO3DR2\n5rUPEf3cm6qpKt1beeLgy52PJyWlbCk0048CL7xtMS0KBVwJk6MAAA7aXUGgi6nA+muHJaW1Rjc1\nN0PU217f2rITBq/baQEAYHG4tFEFVyR0LsNgsgi+WMoNBf/c040AcifPiQYAOHVwR23W+OmDejMh\n4PeBpvLU259+ss7bdWmEEEIIocGDfzEi1E9sVMkNZcH0u9Og8qMwcB2xAfdmGdVKpwbdN6tUKvL3\nHtT1/jtvB5JSM74+vGdHyj/uXnR1exKZN6EgniQvvFYVg8mEqXOufu+9NeulxccLn+QKxWkZYwsu\n78Ol/UnA5yNbGtSfrl/z4dktmu6aPz+ZDIVaDhw+8qqflbjynCcyOeftNQ6xBGFWc2sA4NxbO1ee\nONTk93l90sjYWEmkgmps0nhbdQ0OnkDMtJoM1ujEdLZYHpVy3pj9PlCXHtfSGSzavp++Mhdcd9ug\n9pwOd7r6GqvVqG9JzR2fNNh7L5/Y89sWQ5Pmp0FtFCGEEEKoGzBZRqgfPLN8+e0tev3TVqv6mzBw\n/PSz6rND8+++m//pxs2f97ZOh926c+ZVc+/p3NvanWQmjMtjOB2O8Q6ryaepOPUoO4wXkZAxKvd8\n5T0uh8eg1VhjUzLkXdV96tCOTSf2/rYJAODuu++mB4MhgqRzMhlEcEatLXQr4ahzkNFZUugcp73F\nC2ESJlDOkTOzBTw6PWg/sv0HU/6s68QdX9JpahxMFieUkjMu3moy+HR1lWYWlwcZYwukDqvJp0gb\nGX2+WA1NGqOuvtrG5vKEiRmjo4FCgejEtK4u8ZJSenh3TXRSuiwiLum8NxsGgttp9zbXVTXqG9Vf\nbvhotWMw20YIIYT6Q3qSZMDbKB3wFtCFYLKMUB8olUrCSgt/T9fc/KTdbv88k0+yN2z4zAUA8OnG\njb1KlJVKJf2am27/MTFlxFh5ZHSvt/O58oZbrjSbWie//doLexc/8sR0p838FYcrTIxJyUhhMP+0\nQDWcPPDHj6m54wu6qlOnqanW1px+XqVSkUqlkhKisd6j0Glj2bIoR4vBeIzMunwqMM6sOE2SAPYW\nPZAkA7zOSqKhSEOOvlF5rnoJW0triBXysdicMgCY1X689MgejSQihhmXnh0DACCUyBhCiezsfsk8\noYRxrvrcTodPU36yXhoVGzVywow/f5PRuvexFwqF4FJYDIzBYhNCqZw3WO257FZnfcXJow2Vpevf\nfuW5LwerXYQQQgihnsJkGaELUCqVVJVKFex4bIJy2bgghbFQEmrdYaOG5ZUEEm7X2Y2SLA4s3LBh\ng72vbbLYHGmMIqFAHhndpz2QuTw+JKWMuAIA9rY01FpbGmqvFAhFsRXH9i2NzxgVK4mMKQiPipOb\nWppMAZ/PL5TKzzsPGgDAajIYGypLln/w1msNAAD82JR46Yj86UyekKo9su02IuhbROorD0BszkQA\nADBUHydKt/2DjM39DgRRVHLErKv+0tt8Bi9gNbtMnrqRE2dOsxj1AbvZ6LO1tpiE4RFkhCKxy97u\nzpw2szNEhsIE0jMLiPVQXflJe9Dvs3lczsCIvElxf+c5zqwwHtek1xrF8ugBvz0e8Pth9/dbNr77\n+otLB7othBBCCKG++vv+BYhQH81S3pttAOZ9E5TLTshoVrWETTlUY2e+XwOx15tD4nAhmK+nBEN+\nGvjpHLBd6/cHNgPAtr62y2azbMcO7XvTbGydGK1IGC0QiaU6bb0tFCJNioTk+O7WEwgEwOGwZyqV\nSopMLqcxGEzau++srAeARwEA7lmwkBGXnnOPz+ORp42eeMeFelL1DWpt4Y7/Kd9f8cpBgLYedX5s\n6gquPCam8fC2m6QMkkhOjp5dpy//qZXBSQeCqCKqD9wG0oR/QdLEzPMlye1sDLHIai6x11ecMrPY\nYSFZbII0JjE9prcLk0kjY0USebSo5NBOXUruuAgWh9vlOVajnnQ7HT6dpqZVEhEL8enZ0U21la0e\nt4vkcPmDO5F3kDgsJqBSqUIqleYbjPbqy4t/bqwue2gw2kIIIYQQ6qu/5R+ACPXVlJuWzjGRwmfr\nIH4KASREgtbMBs+mFpDfYQe+hAe2uhSouitdzgh5XY75Xq9n89dfbN7VlzYfXPpQosftpq1f/3Fl\n+7Gnn3txJl8glJYVH/sta3R+JI8vfHXMhCnXiCXh3brRZbOYnft2/FbS1KgpHzN+cojBZLJDoSBZ\nV1P5Sate57JaTK2rP3iv+tk33ltMoVCkKTnjForl0XI6gwkAAF63K6QuPfZ1bdmJF95746VKgLZE\nWZ4z5SV59qQnDKWHHyT0VS1NAdbUkCh2LsXctJ50mQ4QYZLJIWnKknpBAAAgAElEQVTCWIgZeQ0Q\nXSe8hKZoy41TRl8hiYyVdlm4B9wOO5hbmnxRiWl/Gq4dCgagrHBfjctmYY+eemVUWeGeJrEsmiqQ\nykRcgZjRcV544Y7/NY6eekXM3613ORAIwMn92wzRSSNosuh40UAu7BXw+6Cq+MjmurKiJ9594yX9\ngDWEEEIIDR7yxo3HBryRb+8eA4A525DBNx6hTmYp771aA3HLtBAz83xluGA3JkH1GxPimJ/a7fbE\nj9d9dLS37SmVSoLPF46nM2iLP1q79rYuylJSRox8Ji0zZ9GEqbMie5vgNNbXllstRlIkDo/e9duP\ndzy//Mkf2utPyBj9+Ix589/QN6grGqpKXy/et22zSqUiAQDuXPgQjRsR9y/JiLFPeEz6nW8+MO+K\nectemkSmTP4V3FYa0NkOCHhbIEycDgxO11myzxWEhuL9WRL6qYmXzV3c3wlbZdGhuuTsvPj2RNeo\n17qa66qDQIbsAqk8TBqpYLc2aVzRSenC8/WqO6zmoM3YEuyccAMAWI0Gf0N1qUYcES2Pikvpuvt6\nmDFo6wIel8sTm5JxzthDoRAAwNkRB6FQCLweNzCZzG5vv+W0WVx1p09sPvDzfxa1/x4hhBBCfwOY\nLF8C/l5dJQj1Azk7aGp0B/3neo0BHvABE6gQ5EgJW+PKtzcZAcDYl/ak4bLbKAThX7161Z8S5QUP\nLFp+moiP5DobjoSojFwPQ6JoJYO74fTJN4wG/Rq/z/tFweyrLu+cYDbWq2t/+e6r4D1Ln0o+XwIY\nE5eQHhPXthXxiOwx7y1asnT7mlUfOJksFsdl1hcd3vbfV+pOF7/Svvft088sl/qC5Pu0pDHJwoTM\nfIeuvsjaULkcAIBwW54n7a2t4LYEIW5MEgB0r3eYJIEo3/lUJM29NWvsbYf6O1Fuaaw1hMfERbQn\ndeXH99dxBRJa+qgJMTQG4+yCVrEpGedcJKwdh8unqksKW6MS087OnTYbmoM6TY1WHB7JyBo3Lclm\nanVXHD9QnzZ6Yly/XsQAk0TE0MqO7m2VRERTOTwBu+Nreq0m8MH7G5uajX5+fCTHnJYYwSwqqSOs\nrhBdzKO5R2cnUml0BimVCDk5+eNFXMFfd+NqrDl9qrGq9JF/PbJw+6BdFEIIIYRQP8FkGaFOvtj8\n6YEJNz2ia+jUB6aA+v8kEfWrgiR5kxeYVT/+Z9NX/dGeQCCYyeVyn+58vMFBjHXKoi5j+O23GAWZ\nQh9LTCFC/hvpAfdssOhlJ4sKmZNnXg5UKg0Cfj/UVleUWszGX8tPFa3jcHmZAPBdd9rPHTshnk6n\n/y82PmmL2+VMeulfzzwLneZeez2e8JAsSSNLzrm14fBvP3pri7VUKrV03qKn55FhQhlhaXwf3NYK\nMiprK9CZ3ct6W6prePbG/8XmF/zEFYh7ver3+dhMre6YpBFSAIDi/b9r0sdMVjBZ7B5PgqZQqUBj\nsOyhUEheffKIlsFk+0SyyIgRYyYr2svwxVK2z+MWOiwmkisUXzR3fylUGmSNnx5fd/qEiQyRuoTM\nUQl+rxf2/bGtpUXXDFXNQYUnSIdWtV9YqG4AACoAUEFrAzilVQMAAXRKCKYeK9EsfepxRTAQAGqH\n1cbtptb/YaKMEEIIoYsVJssInUMQqN6Oz6VgOBIFTYt++s+nRgDY259tWS2WR994/bW/9E6Lae7t\nVP2erX46dzIt6BpHeqnx9KDDr42cdo3R2eR3Gk8Ub//pv7+FSLJEq6ktVVee3qJSqQJLHnqYUzDr\nii3d3faIIAjIGjV2emZu3nSDrslls1p+e2/lm3+6xoYGTbkiPjdGf3Lfb87murtZdHrs2tWrvfP+\neddOIuCVkUHfx4RNHyRjR6lBHJsE9hYbMLlMYHCY52y0bVupr2LTsv6hSBsZQe3mdk49kTQyT1F5\n4qDR2triCY+KC/QmUW4nlMiYjVWlmqSsMQoqjX7OMpKIaEFl8WF92qgJPV69e6jFj8gVN1SX0gv/\n+J/OaPVSN35fLHYHqLS25Ph82u4J+EMEcBihxsIdP61oqCyhjJw4Y2JsSpaSoFCoLdq6XYNyAQgh\nhBBCAwCTZYTOgUb63Bxwel3AYQIQQAAZ+kP1cZ+GW3ekVCqJ1LT021995eXNa9euOWe9RNC//n9f\nbPQCwPp/zl+wyue0RfhoYbEuZnijhylyU4KeD5bcf9eRfz3/Ql5MVMRKdeXpz99dvf7W5PTMx9Iy\nc0b1NCaCIEAWGc254da7f5OEy5967qlHP2h/TRCT9LTXZm7UF++948y8UyMAwDdfbDICwJolS5bI\ndQGJHUIBGritIcbpbY/5uXITyZffBAxONPg9OmDxUkESNxIAAEwavQLM5fmz5m9hsNjnjKe39Bq1\nt6m2Us9ksQN+v4+WP/t6RddnXVhUYlps52Mel5NkccIIAAB16fH6YCDgo9MY4X1ta6jEJmfyqFR6\niGVodiTLqc2BEJCnm0lFx2lSQqa/Wcjy/86gkqc59GCtL0jM8gcpaofBtPKZJW+3raj9wcpVL7y9\n+iuuUDyjsugg9iojhBBC6KJ10QwXRGgwTVY+uEIE5vdrIeGzWkicJQdd0Rg4Prbznsu99dCyZfkU\ngqC9++67B7oq+8aKN1+w2e0si8m00mBoMQIAKRKLk4KBUGv6yNyrJbKIKK2mrpzL48nGjC94NjJG\n0ed5s1u//fKw1+tpsFvNzzfWq2s5HE7qmtWri89V9l8rPri5paH6wfCYxAo6V5zM44aRYllkRmNN\n+QE6jRETgmCjy2Zlmeyuf+v8zGVAZzRIguYDU6ZfdrcsJj6lr7F2VnJwpyZz/DTFQK7uDABQuOOn\nRr5Y6qNSaazIhNTIv8v2Uh6XE6pPHim1W0y7vvj+sNAdoIoBgMagktponuel5NRYtyAu/X46hxtp\na6gqM1YcXyUSi+Ufr1unG+rYEUIIoUGEC3xdArBnGaFz2Kf68EkAgCnKJS8x4bSWDd4TABDqr/rf\nf++9I+d77eVXXs1zOp3Nb7z+mhYAwGQyrfR43LQ1a1ab28s8+thjy/gC0d5R4yY/GZeYkhUKhYAg\nCOivBDEhOS0hNTNn3GdrVn656dNPywDgnInykkeevGb09Ks20xlMBp3BnNTxtcj4lOvOPBwDAFBz\nqhDsv33LnP2PBWNE4RHX0Jmsfom1ndnQTAJQQkwOxzPQiTIAAF8S7koeOTa1ua7K8XdJlAEAtOrT\nh04d+GNa++JuHY1WKinhGWN/FifnXAYAwI9O8tHD+OFMnjj5yXVzEi2a8qXrXl1+3t9thBBCCKGL\nCSbLCF3AXtWqvdDPc5S7Yjabk0mSbGp//uaKN+ydy9httpflMQmXx8QlZgH8/9Y+/aG+pjL4v28+\np0Qe2ttgbNWbzlfugQcWZifnjFvH4fIvuJp0u6SReZclZIwCCvVC82B7p/LEYR1BAEgiY7mxKZnx\n/d7AOVAICkmhUCA6Me2i2zLqXLxul7/k4I436ytOvnmuRHnRC29fKVCkPcWPTZnSfozO4TFixl32\nHABAKBgEY2URr/N5CCGEEEIXK0yWERpm3ln5dperbMsjIlsFQtGd1H5MPL1eD1iMrS55dCznn/cu\nJb79YkNl0O/7yzDx+++//4rYuDiq0+l8mEqlngaAyO62MRCJctHuX5qTRuYJ+eLw/p383BWCGFZ7\nBpMkCTu+2eicNvfOsJ4umFZbVhQ0NNWveXbpfc92PL74pXdnMHiicUyecHSYXHEVI4x/3vc44HH4\nfU6bupfhI4QQQggNO5gsI3QRWLx4SdTq1auaANoWB+OJwh8eM75gXH+28ZPq86O6poZD9zz45IMx\ncQmSgllX2G66ZvbZ/aaVSiXt1tvu/JRGp+XwuDz6H3v2HRXJImf3Zww95XE5QBodxx30RBn6tze/\nPxAEAdPm3hFWeniXLXvSrB5txeWwmotqS48/0f5cqVQSsuxJN4Vn5L/FFsn+srjZuXitRv3mjz6o\n7WncCCGEEELDFSbLCF0E2hPl+xY8wMybMPWzCVNnKdmcsL9ka8FgEOpqKmq5PIFEKovgd7fn2Wox\nexSJKTw2J8zDYnMAAEBdVb6rY5mx48YvzB8//qawMC7js81bPh0zZ94/ONzz9zQOhobKkha5Ikk4\nFG0Hg4GhaPaCqDQ6BPzeHvV4N6krijSVp67ZsG6t767FD4vYkohZgrj0ZfyYlIlUerdG2AMAAEmS\nLT0OGCGEEEJoGMNkGaGLSFbu2GemzrnqZir1r/91K0+famxpatx5ZP+u5X6//ygBQHni5Xe6NZ+2\nvrri6KHd22+JiU9ctPW/XxbRaYxjVrPpy/bXFy9ekicQCB8PBoPEtt9++YkhjR0/1IlyKBgANk9A\n54vDu5/R9YPG6tMar9vpApLgDGa73WXVN/pamxu8taXHLQKpnJGaO150vrL1FScPVp88eofJbDY+\n9Oa6R/mxKfeFhcekEb3oNXfqG37vU+AIIYQQQsMMJssIXUTkkdFxnRNlv88HpcXHdh/Zv3ODobnx\nv0x2mH/q7KuaxxfMzO2qPpIkob6msrLo6IHdV95wy49JaRmjayrKqlSbP35wwycfewDahuS2tOiL\nDh86cFl9Xe3LJI2xK3f6dW+01xEMBIBCpfbbStzddWLf75r0MZNkg9ooALhdDldK9tj0wW63u9LH\nTAab0WDPm3mtvOTQjpbtX6/XjJtzA48nkogA2hbiMht0Nr2mZqe+Uf2km8EfFzvp6i/4MUn5BNH9\nJNljbSXpbB7ham0y+hyWnfYm9bsDdlEIIYQQQkMAk2WELiLNTQ0/ajW11zkd9rqq0yXrPG6XGwjC\neezgnm+FQlFu3qTpS6Ji4y7LzMnrMlEGAPC4XSGX0+G75e7FzzKYTHDYbe6airJ17YkyAEAYlyvd\n9OmnBgA4DQDz3tn4n7eE4ZFhpw7+YY9Jzgyc3Lftx9RRE66LjE8Z1OHQsSmZkdXFh5tScidEsMO4\nzMFqlwwFh+02UWZDc9Bo0Asz8qfSCYKAkRNmyjLzp8HBX785kpAxSk4QhL/+dPHHRk3F9y6WkCWM\nS39MFjfiNjo7rMf7eNk0VU5bU80vEAodsNSdXiMbOXELANw8AJeFEEIIITQkhu0ffQj93S1Y8EA2\nEFC37qOPbPcvWDBLHhE1vrGx4RsgSZlAJHa8t/Kt4+c6T6lUsgEgqFKpfPPvuZftsFlh1tU3vJo6\nIuvuaEWi4Hw9vLqmhpYDu7Z/EfB5aflTZijjk1IjOr5u0DWZD+7evvjRpQ/8+3wxP/z085kBv++u\n6KT0GW67rUUglUcmjRybwQ7j0vvyXvTFyf3b9ck540QcLm9QhmOfLtxXPSJvcvJgtNVTLrsVqooP\nB5x2a4jF4ULQ7wOryRDkCSU+g7auRRIV/6uuoWayKGWUmS6JHs+RRvZqKHlreaEv6PW4wrPGC8lg\nIGRvqj3C4Aoz1L//O37L+jXmrmtACCGELnrkjRuPDXgj3949BgBztiGDPcsIDRGTyViqUqmCb7/z\n7rzs7JzXBAKha/NnG2PiUzNvGDtxKjshOc1gNhorTa0tqxJTR9wjDpfRDuz49WehWNqamJqRN2Hq\nLKMsIuounkDISk7LSmAwz9+5ajWbPEf371r05MOLv33m+Zde5vL4ZwuTJAl11RUl5aXFzzy69IH/\nna+Oh558Ljm34PLvOFx+bMmhnYYJV940ejisCJ09aZb8yPYftPmzrosejPbCoxVyTWWpV5GaOWi9\n2d3F4QkgZ/KcP32u7//pK090UjpzzLSrUmgMRsr2rd808VPHjOrLsHk6h0+Rpue1jSSg0ijC+BHj\nyVAIIkYVHLz9Pnh7y/o1n/TtShBCCCGEhh4my+iS9eCDS7len5f78bp1uqFoX6VSBQEAtI2NVy1Y\nuCTl159/WhEVl5x4/c13hgMARMXEcXf/vlXAF4lmVZ0+Fbx3zlPXCETS2XQa1ZyYmhHR1UrXoVAI\nKBQKkCQJJwoPfvbIkgXfPvHMc2NnXH7dPKksQgQAYDG1Oo/s26WqKi9Z+t7KN+3nq2vhwkULOGH8\n2yPjklMAACZddXO3thMaLFyBKGTQ1rtatHU6u7k1LDwq3i+UyngkQEgaGXveBa56w6jTmpNGjlX0\nZ50DadLV/zg7xFpbW+WgCCMYfZ1fLlCk/uW7g6BQQJqel8aRRv3ribzp93nMpl+DXqfD77KrnS2N\nP33x6XpvnxpFCCGEEBpkmCyjS9aHH37gAADHUMaw5MEHCwqmTkspPHK4Yt+e3SvTc/PODoEmCALS\nMrLDNHU142lUetDtcgUyRuYyASDiAlUCAIDdavH8/N1XLzEZzHg2l6spOrx/JQCAPDJmEYVCFXs9\nbig6euAnXaPmw8eXLd7W+fzn/vV8ut1um5CQmFRut9neq6+rC1fExQX79eL7kSIlK5ZCpUJm9NTE\nJnWFTxgeQbdbjIGyo3tt02+4s1/bSskZpyg/tq+OLwoXxSSPEPRr5QOorrLMpvWCT5Q0UjqQ7XCk\nUbEcaVQsAOSTZNsuVi2n9hcueSXruVXPPvTrQLaNEEIIIdSfMFlGaAi5PR7N3j27TFHRMY80NWkt\ndqdTSKXQmqZffm0UAEBkjIIZGaMY11U9LqczwGKzaRQKBQz6ZtPBXb8vefbJR/4y9/jRBxfMVyqV\nDEV8ktJkbP32042feM5VH41GizObTKqbb7ltN4/Hy7Rarb6yJuvw21j4DK5QfPZxVGIaAwDAqNcG\nRk+9sltbZ/UEhUKBjLEF8br6Gn35sf0unkjKiU5MG/ZJc6teG2Qljh7QRLmz9h5sefbkPHNt2RN3\nLlx64LO1H9gGMwaEEEIIod668DhOhNCAKjp+3JKRmbl1xeuvq7Ozc36YUlCQ4XS5zamZOeGdy4ZC\nIagoLfYE/D6g0mgUgiBgz+8/f6epq/mxtLhwTUuz1mE06C2lxYV3P7Z04Xl78MrKyoIHD+w7daLo\n+HmT3107d9ZMmz59Y2raiPio6GjZhvXr/jti/MwxDCbrollgQn2qsDU2JVM4UPOquUIxVxql4BEA\ngariw418UbiQxmAQgUAAhsNc7nahYABIAAj4PHSLnwzSmOwh+dxnCaUJZCCQkJoUv6346CHfUMSA\nEEII9aMXMq5bMOCNnP7hYwCAFwe8IXRO2LOM0BCZP38+hyCIhzZ88snrSqWSEIpERVWVVQ5/IBD9\ny/dfl11x/c0Z7WW//WLDJ42aumibqfUnnlAUHgqGSB5fkKHTNtyzefMm55liX/dnfE6n8766WvXT\nuaNGPxcVHS1sqq0sT8nJz+j6zKEXCoVAGqWQ7v3fl6Zpc+8Qd31G7/FEUm7muGnckoM76rhCabhe\nU2VPz5siAhLownD5kGbNTpuF3LPnjxYmh+ei8sQ8blTUoPYsd0QQBMiyJ/2DLY3KWSyP/XH1848+\nNVSxIIQQQgh1x0XTS4TQpeDe++4TUmn0l2PjkzhiqWyO024zmI3G2GAwcO2K1146ONDt33PPPZwN\nGza42p+/+NLLn43Mzhm7Y/feh2fefP/3YXwhCwAg4POR+ka1IToxXTbQMbUr2vNLY0b+tBgmi91l\nWXVZkY0vlDIkkTGsvi5m1V0kSYLf6wEGiw2NVWXN2toKQiSLtDFZbEFceo58UILoQKOusKj1Jpsg\nIWPYLUamLzm89Z2l/7x6qONACCGE+gC3jroEYM8yQsOI1WJxqVSqBwEA7rnn3il0Or2UyeFe8f47\nbw14ogwA0DFRfu31FROSkpOnVlVWnJDHxs+hM5jMimN7DzDD+DRN+akTQCECYlnU/Wwuv18/R6zG\nFjeFSmPwhGIqAEDA54PK4kNH6Ey2g8lix3SnDp/H7ZVGxfL7M66uEAQBjDOJfExKRmRMSgYAQIRO\nU9NkadX7hFL5oOwD3QEJQJKhYAAo1OHxUe+1W7x2bfW3lpqTzw11LAghhBBCXRkef0EhhAAAQCyW\nMAHABwCwYcMne88c/mIg23ziyad4IzIynzpeePTkhx9+8PXTzywfZTIZDRaL+c6p02ZEnDpZrGBK\nhbtPHti+oqZo/8sBkhCER8e9PuFy5Z1UGr3fhxmf2Puba8o1t7IBAEz6Ju3J/b+vjohLmZM2auyM\n7tZBIQh3f8fVWxGKpKjyY/trvG6nQh6bSB+sdhWJaSK3sxCsfj9JodKG/I40SYbAXF38ybuP3rNk\nqGNBCCGEEOoOTJYRGgbuu3/BWAoBdevWfWQYzHaVSiWVy+W953W7zTpd8zfLHn7khUAg8J3JaDSE\ngqHpAqGQOWHipL2qr//9CYvFjlVk5q2NS8ueEBmfkjIQw5vVJcfK6UzWrw1VpaNaGmv/bWjS2MZM\nu/IZuSIpqyf1iOTR4TZzq5svknY9ZnsQpOaOT2qoKm3yuF1RDCYLAj7v2V7ogWQxtgb9Dk+FFwhK\niKAwaTyxhCOJ6PcVwrvic9qc5ppTm03VJ5cNdtsIIYQQ6neTACARALYMdSADDZNlhIYBkgyVkARl\n0Ob/AgA89vgTNIIg3qmvU7/0r+eW1wMAPPvcv1JsNtvbAHDVvJtvqfF6vanHjxW6s0Zmv1NdXf28\nrq7qq5zJc24biESZDIXAqNduKj20810KQbkiMj5lWea4aeM4PEGPs8rwKAW7vuKUmi+SJvZ7oL1A\noVJBkZoVVbz/dz2QpDfg91FHT786urxwnzUjv2DAtp0aN+1yKQCcXdRr6w9f61nCWdzBGpZNkiR4\nbaagvnjfc2teePTdQWkUIYQQQgNtPwBEDHUQg2H47G+C0CXsk/Xr3XQ6vVmpVA7acFmnw77I6XBo\nN2zYUN9+jCCI/zKZzBEsFpvhsNsCFeWnjSOzc4iJk6bMDAb8LIfNcp3LZrEPRDxVxYe/rzt94p2c\nKZfdnj1p1hdx6dnTepMotwv4vcNqeyKCQoHcKZfJcwsuV+QWXBF9cv+2pvCYeIaxuSEEAKCtV3tU\n33xX39qsDQ5UDFOnzZFZ1CW9Hr0QCvjBZdTZPZZWF0mSFyzraK73tZ4+uvv0t6uXYqKMEEIIDagL\nbQs5GgBeBoCVAMDp4vizAPA8AHR1I/92AOj4NxoDAJ4487gAAB4CgJ0AEAcAk8+8th4ARJ3qmQYA\n1wHABADovC7NueLobrlZADCui2voFuxZRmiYWL1q1aAmd62trR+qVKo/ZTxWq1UhkUj2ySMjpx7Y\nv29TSmraRAqF4hAIhT4uj58j4InzpVGKfu8JtVuMjua6qrWi8MgxmWMLVnF4AlZP6wgGAlB96mhZ\n2qgJGQ6rGXgi6V/2qh4uaHQ65E65PMphNQedNkto186dzTtqvWBnxMXVbD2oeeLuGxQd92quKDnh\ncnr8zuKqBtvN185O4oTxetUuQaEQdA7vwlnuedi06kJjxbGXLXWnd9A5fLY4JfsucXL2IyyB9Oyd\nZZIkwdZQpXHqNVtNNSXveMz6ms6/YwghhBA6P0N5IRjKu7XKdhYAzAAAFgD8cObYFQDQ/r37OwCU\nAcA/AOApaBs6PbtD2c7HfwUANwBwoW2I9fUA8BYAPAYAtjPtHQGAPGhLss92tgDANQCw/czjPQCw\nDwDSzpSpP/N8OQAIAcB8pr2JACABgD8AIBUAXGfqoQNANQCkAMCtZ15TQ1vynQpt+et8ANADwMcd\nygkBwHnm3J8B4A0AONydN/JCMFlG6BLVOYlRKpW00WPy6AmJSckN9fU3HD929BGCII0Nmvo/9Lrm\nr2hcceyUa27NIkkSNBWnDBFxSWImO+xCdzK7rfzYAc2ryx/d9pHqt/+GCUQ9TpTdDpvn2K6tW1Jz\nJ0wDAGCw2GA3G/z9EdtAojOY1G9+3qGr4WRHk0whAAAYafKY/36javZSwhwmDxmKoLu4RXYBz0/j\ncAK0+PDmzT8arp+QxsnIzQvrSVtetwsqT59qJIHR4+TV1lBVri85eP0nb72kPXPIAQBv3f3gYwmK\naTfcS+fwiKDP47fUln3TUnJo0eefrHV0VeeiRYvz6QyG//333i3qaTwIIYTQ31V4eh6Ep+edfX76\nx4/PVWwMtPUCfw4AWwHAA23Jacfv+M7f9+cbvdh+/EpoS5iVAPAitCXTrjP1bIa2RPYUAFQAQDb8\nOVmOA4ADHZ7Phf9PygHaktnaM//gTF2PAMBMaEv22x0DgCnQNoWsCgC+BIBl0DY32gJtifoLZ85r\n114urcO5AG1Jd59hsowQAgCAhITEJ+feqHyFwWCAx+1ueeedldZFixbdt2bNmgNKpZIYf/m8N1kc\nLr30wO/VmpqK9wVS+fNMdpi065q7JouOa1740KMysTyq2yted1R6eNdPSVl5U2Ux8SkAAAwmCyyt\neleEIhkIyvCdbVJWUmJUs7MiSMr/fxQH6FzKfl9KJBAEAAGg9pMA7DPfY2QIJDRPoKeJMgDAzj9+\n0crGzIjhEz17P7x2s0l7dPsvm1at1HZ+LeDzPl2345tPGDxRvsvQGBH0ed7895bPXOeqpzODoeVE\ndEzMZwBwS48CQgghhNAxaEtIkwDgHgDYBQCl0JbIdvYVtCWY7DM/J0Nb4tn5+KMA8B0AzIO2YdQv\nAsCKM3X4ASDU4WfnPyaKACADAJrPPJ8DAAvOPFZC27DtXwBAAQAaAPgJABYCQCy0zX9uJ4a23u10\nADgJAA9AW49xe+JPQtuw6+fOtPXJmWt+ANqSdze0Jc00AOiXaYOYLCOE4J//vE1y3dwbHmYwGBAK\nhcBkMiqUSiV9zZo1ewAAohJSx4lkkbNbGuv0uupT1fEZ+dOFUnm/JMpup91TX3FyDZPFyQ7jiy44\nxLt43+8VOZNnp3U8ZmnVWUgAa2R8SmrH4ynZ4xIrig6q00ZPTByIBcn6Q2F1szFEVUj+8kLHeM88\n5ngMRgnVaRk/JlfY3fo11RUOdZNWRwkFCfC6eKFAAKj07m33TJIk2BqrG5y6+lc2rVp5ztvam9d9\naAWA42f+9YhKpfIBJsoIIYRQX9QAwOouynT+nt7X6bV2u2My3HgAACAASURBVM/8fPHMz8c7Pf/s\nAm3sBIA7Ojxf0OGx6sy/jrad+ddZ8QXa6BhDx2v46hzlpgLAxi7q6hZMlhFC4PN5TRUVFf+xWm1c\no7HVWHj08BMqlersMGYWh/s6AOj2f/9ZqUgsZkcoEsf3tU2Py+nT1VeVmPRNG+wW44HM/Klf0hnM\n85YPhUJg0jd+ZjboHheFR4gA2hK66pOF3yVkjJrZuTyNwQAanSENBQNApQ3a9sY90uICFnRj0LnI\nVae/c2Y2Jy4xKSkUDMCBXb9pwsJ41JyxE6MvdF6NTm8Spo5JJkkSeD28YdBaXvh109Htd325aYOn\nRycihBBC6GK0u+siF7S5X6LoH329lrMwWUYIgUqlIrlc7kqHJPWeEJ2j+fa99/wAAA8/8ijH43Y9\nZDHopLr66q3cMI5eFp92vUgWFdXbtrwed6C29PhnWnX59hXPP/XVK+9/fFP+7Ln7w6MUF9zmiUKh\nQHJ2/k3NdZWbReERDwEAGLT1zQwmKySNjI0/1zmK1Cy+oUljilAkiXsbb39pqq0MRiWknp3j/eWm\njS1WavficlPCuFQKQQUAKD66T89MGauwtzYbD+7fWROi0v0QChEBt5NBIYCSnTs2micU03QatZeg\n0QkAgJ72rDv0mjJL3ellmCgjhBBC6FKGyTJCF6nLr7s59dcfvq7sj7qUSiVhF6d8RkoTE4FKdwDA\nR0qlkgiFgnlMvmS/XJE016atXsnicLckjykY29t2XA6bv7xw33MOq2mPPDZx/keqbfMj45OnscN4\n3RobTKFS+V6XU93+3KCt3xaTPOK685VnsNjgsJqN0DYHZsi0NNT6t256n375bYt8HJ6QIpZH0QQS\nSYjZbAU/nd/l+QQZCtVVn/ZptZomVyAIfAAIk8dIQB7zlyHcxeoqXcBTFmLLYsMF8RmxPYmTJEkw\nVhb96Dbq3v3krZd0PTkXIYQQQujvBpNlhC4ySqWS0uxgPWZyBe+fdc0/5mz/31fqrs86v3l3LaCR\nzLCNZFxeDnAlXLBozfPufzgLzI3lLBa7hUIhZQ3lxbdRIDQybdzYVgazx4tVAwCA1+0KnNjz6/Mu\nu7Vw3Jy523giKbendbjs1j8EUnnBmcfOFm0ta0Te5AvOnQ4GfEM+YVkWm0Cfv/xd2PTawwwGix3k\n8EXOEiKZSgEqHUjyz3OUO6H5HZ4Els3k4SWFh8UlJ3Z1V4EXkxLRRZFzIkNB0J86sLvl5IGbvvh0\nvbc3dSCEEEII/Z0M32ViEUJ/oVQqCYePOr/cyHlV6wgL0CnQ0pf65j388jwKX/45mXfT7cCVtCWv\nHJEACApDpVIF1DXV1S163fUGnbbK6XJq3E7HxFAw2Ku2NJWnVC88tvh1rlA8uTeJMgBAKBh0EwTF\nBwBwYt82Vda46eMo1AvvXhWbkpVUUXSwvvLEoQqn3dqtlZoHAo3BgLkPPB28ev4jpMtm5uTy7K4R\nbPOpLHfhQY6zoRHIc7+vQSqT1WrzMG1Gg3OgYvPaTM7qX7a80Hq6cDYmygghhBBCbbBnGaGLxOxr\nbhGrzfRfAiRh9gUp1Di++6dffviqy/1sz2feshenk+HJrwXFMYlA7bAAVkvNHxDwngQAUKlUgdtv\nv+N9lUpFKpXKksqig99RqbTUrAkzZvZ0HqyhSdN43/0LFBQqNZUkyR7PowUAkMUk3FS8//dNboft\nOwpBcYZHx8V3dQ6HyyfSRk2Is5kMAY/Dbg/jCTg9brifSCJiqAAAdzz1NjTUVLLC+LyM7z7feHi6\ngqU92mw86aWwL7MK0qgAALGusnofneeVBVtEMVmpEn504oCtUuY2txz9ZOUrL3ZdEiGEEELo0oHJ\nMkIXgRlX3xqttrC/19qZeQAERHI96vAw3/O9rW/e/Y9MJvkRz0JEasqfXnBb3YS+8slvNqwKtB/a\nsmVz/Z1338dSpGa9Ewz4GK3auh71PPp9XrKq+MgnTqt5bcqYKbemj5l0Q2+3chLJIiNGT7vyvkO/\nfHNT9qRZa3tyrramom7E2MnJvWp4AMQmpcoBAHLHTx5VGIgUiij1exzVJ2qtgrRkhtfkyEiPl8hT\nsnrVA99TBBC4kBdCCCGEUCc4DBuhi4DeQX9Na2flARAAQAKHHjjy6w9f9XhYrlKpJJQPv/wMGZP9\nb4jPm/GXAk1lqm9Wv1bU+XB63qTVk6/+x8Ix06+51aDT8ot2/+L/y7nnoa0p373/p38v4Iuk09JG\nTXiJxeH2btLzGV63K8AK444ThkckGbR13Z6vrdM1cp12KwQCga4LD6JWu8cCQb+XiEgt4ITL9wst\n5ZtGi2y2wUqUAQBCQb91IOpVKpXMDo+JZQ8/0uvF4RBCCCGEBhv2LCM0zN1+++0CtcF3tgc4K9xR\nI+X47i3tYT033/dgakAY9zIkT7wJ6OfYz9jcWEdoTz3R/vS+++6PWr/+46bFjzwxKjkr7yaCQgGe\nSMK+/PbF41sb65wAILhQe1p1eRFPKMmwtOqOJefkT8+aMGM1m8vv81Big7bu3xFxyTMdVrO15NDO\nowXX3Z5IpXX9UUaXRFmPV9cxyYDfCQBk0GH2y/mcyIS0bDaby+trWL122ZzL/o+9+w6PqkobAP7e\nMr33zKRNem8QehdEUFjrrGVRsSGKvX/Ye10LWFAsWFbXjbprQyxIC4QeCOl90pPpvd/7/ZEEQ5gk\nEwgB9Pyeh0fm3nPPORN5krzznvMebcn234xlHiVFJE+/Rl35y07cx/ueCoVuHmk/9smgggEI+jwU\nHQqGrPrqD062v2XLlnEFMmU2HfDFA0X9YjIZ7UnJKck6na66qKgo1LeU/8BYzB1BEARBEGQ8oGAZ\nQc5wRptfHqTIGAAADGjAgP55tFllnU6HB2VJayF11sKwDWgawNy6/qsN73b3X1q//r2OFavuiNdo\nUz8VyVV8U2drQKaOZQjFMlIolg0bKAMAGNr19pba8rVd+obXJs674D88oZgzmjmH09XSUKmvLtt/\nzmXX327p6Wg1dbXvwzDs8pGe0zfU2EhFfDRLIOYDgAQAgKYoaKs5YK36+pPgpdeuOm3RssflgJpG\nPUCylg0kE6MTpk43m5qKRdX7/yPPmPR3DMfB77R5fXZzO0solboM7R0km+sXqLUFoxmHpkLg6m6t\n9Fh6Nnltpkl0KHjA2VyxHuOJo1xd+q0n8x50Oh2eP/eCL1NyJy8KBYMhY1frAQaDpTR2trbIE7ND\n8y69jjb3dLQb2/UvAkDNyYyFIAiCIAgyXlCwjCBnOKOHOc8VIEI4RgNFY+AOEomjef6yWx7QUKrU\nNyAmN3ygDABgam7DumvWDr4skSmeKZz/tyyrqcvdXH3EJlao1ZFkcQEAAj7vNz0NFR8l5E27Jy41\ne8Zo5jyUnram73GCqPB5XA65Ok4rVWra2xqqSuJSs6cN91y3wdDN0uakDryG4ThwZWpczWf7x2Ju\nw/nfxp/qLRSLDNEUk0HTPhYWDHmCNCvI4DIpjORA6nw54H27YgRyHDyWbENlycUBt2MHSyTLMdcf\neev9V54qu+e1DU/RAA5z3aH/4QS5lSmQqAgmm4gkA91Vuv0ra3PVSxveenXfoFuVJ/v+8mcvWp05\nafYSksEEACD5Yul0AIDopPRj9ojbTN1/F0hk/3j6obu+PdkxEQRBEARBTjUULCPIGez8C68QOPyh\nfDnP1xDF9zU2WTlpKp5/XaRLsC+75YFsOnHq1yCLTx2uHdZeWfXV+2sdA6+tWLGCy2TzZBiGwdb/\nfho0tDapsqbMpgmSf1x1rkM7fq7Mn3Ve5sBrDBab99Zbbzre/epv+RFOd0RCiSLlvhuvPPR29sSv\nknMn3xifnntBV0vDB5qEtGkkY+gV3gIuS+T0eWmSxT5m7hypShhs6Taf6HwoigKf1wMcLu+Ya43V\nZR6JVMm2WE2u4uo2k08UFwscAQsAIAQAI1bTomm+y9wjdWHcv4N15/lfff6pEwDg1buXP9bf5Ia7\nV88MeBypXJn6H4LopBiBJmE6Syhl9T5O964WAICuQ9t+87vse4KmjlLS7ygfasj773/gFofT8eG6\nd96JuICbTqdjTD3v0i0JWROy+wLlYYlkKp5Iplqt0+m+LyoqoiIdB0EQBEEQ5HRAwTKCnMF4zJCr\nICeFn5KSKjNbLPyO9vYfX3n5xYizcpg05iF6hEAZPHY34ep+afBlnMHakT19ftqmz95qspsMHk1i\nOsfrdkWxufxjllMHfF7obK77IW/mwkwMwyDg98GB33/Y0dFc+809q5+I4QklcyOd74jvB8cKdDod\nSdO0GwBAFZd0YUvtkdf11Yd/TMopvGCo5zJyJ6m2FW9rECbnJx3zHkkG2BwONwBIhxt340+bWg61\n2JhLpqbjyUmJSpOh2xObkMzZsvnXruYum+eGq/+eQFEU/Od/3+odGIdHSWIl0NbuB7fFC1FZ8RG9\nOf3BENZRAXRUehDzu6eCLL6MTpsjwip/yQSAvZf9Y7kMSOZiYHIbMGv7ng9ee64JAJoA4GedTocL\nNIlXceTqJxUZkwQBj5PTXbbzd5LN/dlrMfyy4c1/1q9addsFb61f7xlqeK/P+x0GIAOAjojm2ysk\njYqWcPnCEZfl98ueOm+yz+P6ShYVs3zd2tfsoxgLQRAEQRBkXKFgGUHOYFweT+pyuciMrGxR8fat\nL+mbG9dH+uxlK+/PoWQJk4drg1tardBQ8s6X77/128DrN9204qaE7ElBt8NOJeUUVgTcDkZMUgZL\nLFclDO7DabPYPU775rb6ymVR8cmaxvIDxY1lexbxZSpBYtaEtcoYrXi4ORja9V6RTMlmskfe0sxk\nsQEAaJ/H7aJpGvgiiSAhs2DNoR0/b2ipPZI095Ll6QOPpaJCQXDZbXTZwd2dDHWyJFyfFIs/Ynls\nrz8UNPBT4z4rtdnJ/SWWIMFiJWzb39weEvNkOAFtzfW+LQfKu9yKzFhgcnrXU5tbvcCXccHvAWBG\nsF07fgJBx08AACB6c8LABpoGIBhfXvbAK200k5sMUalcIBgC2ty69TJt4WfQU1+Eua3OviztZ1de\nfe1/Xd2tHGFM8scki1u97umH3u7v/q233vxxxYqbhTiOwbp1644LUteuWdM+8iT/sOqeB2JS86c9\n2dlcp8dxIlWtTYno54nX7QS7xZjn9biW6XS6dQDAAIBgUVFRaDTjIwiCIAiCnGqnrtQqgiAnbdq0\naSEqRAta9M2E0WDY5HDYWysrK+mRntPpdAStyfoGorPzhmtHm1u/+eql+1YNvr7k8mvmJedOvqj+\nyD5Ll77+9tzpC29InTBtYrg+nDaLq3TbxjudNsvm6r3bFJ0tjY9/uP7d5guvXP5G7owFy0aaa0dT\nbQlFhWR8kTTsOt7m6sP+8t1bHbEpWWwOTygxd7f9pq8u+1wRHb+ML5aKRXJVrMtuYVBU6D19dVmJ\n3+f1ieWqVBzHob6y1LVvX4mbE5dBc+Uaebj+SZ5IUF91uKmnudYbHZ8YttCXRiUXHjpS0eFmKRRB\nksehCBbDRMjFAZLPC/h9wW4/zgkqU6RAMP6I1AUKJth7KLB1+AAwD7BHf2QWdvj7IJ29WAqqlDiQ\nxPABZ7DA7/aBNC4F5AkXgkC1nPY5c7PmLBFnzlo0nQoFDQFja5etu30bGXBViyddcl7CxHm5zQe2\nlAEAJCYmBj/55JMxOVN5yvRZgsxJs9ck5RTmCMSyiI8hPFKyOWA1dB2evODCJX6v95IpCy9+mi+W\nXlgwcVJDXn6+c//e3UNmvxEEQRDkDPJE5oU3n/JBqr59DwDgyVM+EBIWyiwjyBmsb//oh31/IqfO\nuBm0k6aEvWdo6gahSgUMNmDG5m8G39bpdJjLbrutvmxfB0EQVRKF+h+xadkp4boCAODyhRKBRKZe\n+8rzBwDgkv7rMcmZ84Z6pq2+kopJzsQBAIQSebTTZt4BAIvDtWUwWQFTZ+vNFXu2zo1OTP87g8WR\nffT+u77C+UvbJUpNPEVRlEabmlh9YKf8hccffHHZNcvf6miqeWLmkivuTcmeyGNx+daapuYgTxkT\ndi4MDo9gJOYkWWpL9UPNVySRErlRLN926/H33GyVwqSvbZILFQlHi3T1UySywNQSBGMjBQTpAL5s\nVFW36fy//fE92uemoXlvBwgUPLD3tAJNicDeBZA6+2JapL4GAAA8No/1yM4OL853d5LsGjdHfQEN\nAPNvfIyW2qo+j9dqFwDAzxdfvoxP4YwHfCzpWpbP/KWPJbll04ZXR1WlWh2ffDlfJIl4+XW/CXMv\nYADAfACA2JQsLQBAfHpelM/j3tqpr9v1sDr2+9rSkheLiopG/FAIQRAEQRDkVELBMoL8GflchUAF\n/ADs3mxm0Edhtdu7wW4AzOPwUxMupsDa3gCGho2DH82bufDK2JRM8davP2KIJPLvJp578aPDDeX1\nuLw0FTpmlcpt9z6kYrI5Q1Z8Kt32kyE6KUOFYRgoouMTaw+VHE7KKQzbNjoxncfi8P5p7mor2//7\n98uMHS1bAAD2b/5+ftX+HVkkyWS2N1bv7S8Y9dknG5y33HHvl+2NNZfGpWZr4xLTxD2d7V6aCgGG\nD72YRhCfEVf824+dTIECiqs7XRlKJnvx4sVHI2yXy4UBKI5/EMPAyEtJYFXs1AtyZh2/P1kg5wGT\nwwRDoxs4QgDiBI+abjnYCikz4wAnAQB6l7ZrjqmpBp62WrORnyYLsMRJAJDTf90gm7ghSPJWt/ok\nFVPvfO8ePUMwjeW3OYGmLmCyFbEsv2XbuTesPu/XD547PNwUrrzqHwrAsFBS9sT5STmFtzHZnIgz\nyiNhcbigTc+brtGmThFKFXKeUPzMhg/Wh/l4AkEQBEEQZHygYBlB/oRop/E2/MjGbbRAeSnNl07B\nu6rayVDwjRAGr4ZmXa8Ga1sn1ln56Feff3LcklcMxx9qrjocik7KfEoZmzhPFZs4ZFa5dzDay2Rx\nLQMv4TghpWmaO9QjPJFkPwBcAACAEwSwOLxQa11FbWxKVthiZHJ1bIxcHRsDGK5/+amHNwEAfPT+\nu76ly1bqgabwIDd6qk6nK+nPRsYkZ6S21Vdu1CSk3koymMBiczCXy+712UwkweLgPEX0cUEeyWJj\ndFKBrGTrjs5WZmpyZ7fTLy7eZpo2c46stane0212cGCovDCGgxeYAb7LEnS21rUATdOCjCm9xcSY\nXAAmlwFBHwH6gyaISucBQbLB7/ECX8YG7Lji4oO/vgD1O9sgOkvTFygPKRQI+gNMUfRx10kOaZQV\nZALA0ejax5IJAEDd/5rtNf5vwY2PXvrb+08fDNf3C29/fKdcE/eISKYU8IRiViTVr08Ek80hcqbN\nv1eiUF8ilkcte/3Fp3edkoEQBEEQBEFGgPYsI8ifUObUeYVMn80f4skDuN0QpPkKVSh5xpV0whQx\n4ASA01z69bO33Tf4uVV3P5DGJahJDlMPkytRNmROnnM3QZLDRnMcnoDjcTu5m3/830/91/bs2mGM\niVJkpOZPDXtsVGPFwf2JWROOZj4lSrW2+sDOhwBALpIp48I943E63C01Zf/8fdP3VTqdDtNMu+RS\nsyTrVQ8n6jaTNP+BIMmZWZAc/W1N+SHf7z99d0Qh4m1yO2z1XrfTHx2flNXeXN/pMvewBZpEFjFE\noEcwmITT2GXrcRPMEIPHrjN4A7v3HbBWtBhsBka0iiKYQ37PlNkqQwYnuEys+Fi2vTXIVWt5xwTC\nHCETRBouWFq94HNh0F1jAZGad8w+53Ca9raANFYEQtWIVcIIn51FGhsNLk7UqJZ7AwAESa44QPIX\npOfkt01KlFdnZWVhy269767ps+cl6Jbf8mBiVsGtCk28mM3lkZGc63wycIIAsSJK4nE7g+mpqT/t\n2bUDLclGEARBzjRoz/JfAMosI8hZTKfTYQP3dl52+yN5tDTueVoaN9vHYLOAxSfpwZlLmgass2rT\n4L5uuPHGRKfd6po2aYJSKpPtt+CSO5ks9tEMrKmrnZJFHZ+RxTAMohPSLwKA2wfOK2vKnLBBb9Dv\nB5/bFaRCIegPurgCETc6Me3qnramf8elZs8M91xd2Z4fHrnzpm8WX3tXdKso/UMnL24hPSDTahZn\nL+B4DYcu/fsVUX6G8O6if733LhQVfQYAn9336DPaEF/2OMkT/c3aXOlSZE7mhRsDACBtYmF8zaa9\nJieDy/UzRSIzUxTRvtw2+UwFAADbazCJouOYx+1fBgDAcQBFMh+a97ZA+jlxw2aVaRrA0eMAKkiA\nNFYYyRw8Nnt3jzjnuIrlkfKxZUlGBv9LEY9ZMTMrjoxNzkyTKDWn7edE9pS5N7sdttz7H3v2oZef\nenj76ZoHgiAIgiB/TShYRpCziE6nwwAASy+ccYc8Kn6Gy2FNKCoqKgQAuGz5SgYdnfseKJOGPS4K\nQgEAn7N88OUP3n+/UafTEaUH9luFUXFNUxdfrgQACAb8UF+2r7x89xbPJbesnoSHCQIFUpnytnsf\nSnnzny/UAQCo41MUAom8INzwBEkCQZLW7d9/vnH6ossW9e97laqiZ+7++Zu7k3MmOcWKKP7AZ2iK\nAmNH6+cAABRGal3c6HPowUuSMQza1eckAACQAddbk++aciMR8h8kQ277wW63UGJq+ReP9jzD5Alm\nBDzOQoLFTSBZ7Eyapvny1AJlfzc4TgKbcvqdA7pmeQx+ZsAWcPLieDQx/PLjAMkXAbidQzYI+QGC\nfhKCPgoY7OO/mF5XANqPdABNYSCLi4bkGRFniXnphQmafZuMHYrpYSt/jwSjgiD2d7dJeExZ7vQF\n4SuijaPG8gN6bUZeLoPJ2vg4X/gRhuOtNmP3ztdeeGrnQ0+9mCWUKq42drYeePXZx4tO91wRBEEQ\nBPnzQcEygpxFElJynkrMn3x1VHyKkisQctoba44WZKI1mf8HiuHPVQYAgLbDP2Om5h8HX7711lXR\n/oB/pcPpuCtaFvUWhuNAURTs/vnr/xnb9a/OXHrlp+ECZQAALk/IFIhlmQBQBwCAk2RSZ3MdUxZ1\nfLzV0VzbsXl3I+AERhqtvk8v0F1+JYcnYArEMpZGm5LislsbxIqoY4686m5rqutsrvsZAAADqo0R\ndLl8BGvIjG+QwSOCDF4hABQCAMgcNXrIXrDCZe+udYUCnRaK9oKbFoDT14YBLguU72lRZ08p7Js7\ncGlXQGypbLIJtFqa5GJsv1nv5qiT+a42m0OYeHRcMuiGEM4EGidBbK8x8nhsK4GFmBTFH3rJNIMN\nkDpbAy0HG0CmVQJP+kcwHAoANOw0QcaC+LCZ6RFgGAEObrRv1A/24fgM5vPPn6m1N1U0t+sbHNHx\nSaNezj1WHBajncHmSKLikngAADOWXHEbAIDHaQ/mzlhQxuEL1VJVtNpuNhii4pKmVOzZ+iqTzZlm\nNXR9W1RUNOLZ2QiCIAiCICNBwTKCnCUeevKF+zOnzL0pKi5J1X/N7/W0AgDodDoGJVBcDtgIAZbP\n6cOsnU/1V44eiCDJa3wOxwtcHjcBJwgNAMCR4l+KXXbr43MuWb5VooiSDNUthuPAF0vT+l9z+ILc\n1IJpxy11Nna0NG54/7MivY2z0hMkRF3bG2uEvP8+PfuCSx9hc3kssSJK6/d5ygHgmGDZ63Ic+PjD\n9V4AAIym83HKH/H3LowKgIi2CGgqBJg0NhUAjikiRgNAW3etldq3Wa/MmRZLMJm4FZdxHfwYucRa\n7nJxo2mOp1tsE6ZiXHeHl/DbRSGmEHjudqOG7eKEGFxPyOvy4UoZwYpOS450XhA3IQlMrXawtDWD\nPCEOWHwcWg93QspM9YkEygAAvuqd3W6mVj1yy/CCBIdoqyrvicvK1zb1tHW0FG/tzs0rSCot3d9I\nsQWgEbBlyRm54hPtfyCKouBIyWY9QZAhBosdUkTHq6RKjRAAwGrocvV06G2peVNiBz/H4QvJaL5w\nQv9roVShyJu58N7opPSVBEHSxd9/vgYAHh6LOSIIgiAI8teGgmUEOcM8+dTThT6fb9Fzzz7zDACA\nTqcjk3Mnr8ibtfAhqVIjHdjW63LUAADQiVPfB0VyZrj+jmFu7cY6K0vC3Vq75o3nAQBuv/2OZpwg\nA7s2fvlFZ3P9uszJc24fLlDux+EJjmZTTR2txwVUNE3Dkd1bHuuyBG7xBDkiAACzl5n2xabqi/zB\n/zyZmZuXH/D7230e93FLiN0OeyMAgE6nIzoEidd6OFG8AR3DcHt/aZwBzbx8aZK53UNEJYfN+NKq\nVHG7UY+ZNn/bqM2bJJGTLpcdJ+VOXhxNhLz2LtVMDWAY2ERpKqmlrJPCSC+NEQGr388WqWVipjbv\nhJY9gyxWCN1+HKveYqLF0XZQpSYBc8gi4iNiJk1QxXc1GuiQibJZHbRZlBk1XHsi4AqGSC4JGAZA\nU8ANOWydegsek5ELPGWMhlZEw4Haxi5OfFYCyeLgTft/aR+rYNllM9sJksHJnjJXCQCwb/P3bdL5\nGqGho8VoNXSS4QLloWAYBgpNPI+maRDJo7xjMT8EQRAEQZAxOyMTQZCx0WE0LuIq4xf1v06bOPO1\nqYsueWNwoAwAYDcbCAAAWqadPWI20thchdUVV9Fs4bCbbru6Ol31h/ccbq0qfdnrdu31uV1zI5l3\nwOe96ebb7kwDACAYzF/3/vq/A1QodPQ+hmEglqtiCIyu6s3n9jJ5mBP//XP9ze+s+3zzlp9/+dph\nMbbT9B/3O/X1VU2Vpa8DAAQIjsjLks7uv8f3dHalOUqMI82NDHpcIe8w+4gBAOTxIm/y7KS64k3g\nddgYQFPgZ0n5Hq5GczRjj2FgluaprZKsBJs4PdUkSIsLNh2k/RW/m60Ve+r8DfuMlL3HH8nX6yi/\ny0knT2eCdmISsPtWPdt7jOA0Dj/fMDAWD5jxOQqgQ7SdGzfkEmo86Atx3R2uXIbeNFtuNOSy2hsn\nC7rbzl84NW7K+RfF9C+3xzAMBNGJUSSrd185L3mCG11DVAAAIABJREFUokPfGBjtvMIJBgIBDldw\ndLl0dGKatPiHL3r8Pi83JW/KCQXkGIYBk8VO0+l06GcbgiAIgiAnbYQDPhEEGS86nQ7LmT7/bq5Q\nfB+bzd1m7unYL4uKyVDFJuqEUkXYasiWnk7Hj5+9lepKX1QK0rihs4hOkw26qq1E2+EL/vPJBxWR\nzun5tzfcnT9z4asEyRixrd/roXdu/HLF84/c/z4AwMpVtxUSLO73F954/9F5dbc0Nv53wzszdjUx\nd1t9jPiBz5M4RafLXDdPzVEHF19z+4cMJgtomoY9P39z42P3rPygv92SO57/1U7Kkvi0g5w4fVqU\nx2b2b652gZ8lGbLCNQCA0l7eIi0IU6Hb0k5h3TUhAIwCmqJpoQqjZQmEt3JHTQc7VRtgiYbtFwCO\nZrcxKgDRoZZGfvrkxBGfGai73ggBjw1sHXzgKzzAESrB7zVATHb8yA8fz3zg984ecd7xy7HpEEjc\n+k45K+CbOGuGFidZQDJZEfdLUyFwVu9tmn3OohOuuD1QT3uz1e20gzZtbLLVAL0F6WpLd++t2LPV\nA1Rgyfp31436QwcEQRAEiQB96YcHTvkgX18/EQDFbKcN+vQdQU6zlbffnQ4AkJI/5bG8mQtfyJ4y\nT91YcbBIJFNqU/Km3DBUoAwAIFZECRLSci8Hh7FlyAHMLY1Y2Q/pnO6KD2iPvTLSeT345AsTUvKm\nPBpJoOzzuKnW+kozSTL+ccd9q5UAAKae7kNxqTlfDWynjNEmTpg2Y6mC63+aRYQcA+9p+L59XEao\n1mLo3PTL5+88WXNw17ojJZu3tzVUbR3YLqcgJ3DBknMS5iy9MJYvUzIUiem8OQk4iD2tQ34NWD6z\niRe08sPelETjNF+B0+nzWDSLj0N0Ngtj88hYESm7e36sY1m8pTbNU9YE9HHbvP/QtwycxkgI+byj\n/4GmSpZDTE4SZJ2nApLJBpbAc6KBMu3zAEEFMKCPPZqY5+1uz2e16xfMmaAqnD1by+QKRxUoAwBg\nOAEUR4jXlO2ztNRXjS6DHoYyWit2mI2Wk+1nIJLBhMzJsycvveHeOUyu8MKx7BtBEARBkL8WtGcZ\nQU6j1c+8sj46KX3Js6k5Dan5U3I4PAEj4POC3+f1CMSyc0d6HsMwkKrUSRD0W4ds5HPvkpF+FZPJ\n2rD2gyJ6yHaDiBXqS4US+Yh7lRvLD3RSNOVOzpmUlJg1Ye7BrT8+ptPpbi8qKgqqYhLx9sbqPVmT\n5iQLJDKDXBOXLpQpLj+yZcOCjLnXZVg8jCs9QVzkCxG8Fjt7st1HfqviWaLeeOnZJ4Yajw4FXYOv\nqTMKeHnBw67DDXVGDMcdNnaMliJYR4NWUdBgZU26MGnINxGT03vgM9b7ya28dWfPvHMXM6RKtUwd\nnxSljq51ut2eOrvT7dtSZ5O1YaqwRbQYAYePL5Mpw92LGEU5QaSKvFDYILSjO2DmJkgH7uNm+m2W\n6WkStjo5XXZScwMAUUJWvMlq9FoO7bIq1bFKNi/8ZxCR8LicFI8vOuk5hcNgskAoUwxdlRxBEARB\nEGQEKLOMIKcRyWTNTMmbEjVp/tIZIplSCADQ3dbcgAGIFdHatJGeBwDgCsSZADDkUTmko0vPZDBz\n1q5Z0zqauYmkipkjtXE77f6GI/vbtGl5SQC9wXv21HNWZk+ddxkAAO13PeSzGc8t/uGLjNa6ijUd\njTW18qjYxFvvul9RtfWj+/JU9rxYofc/vb1h4AvhzHoz95H0Odd9N+SgGH5cAKQ/sN3YY3dgUbmT\n5KrcyQlx3kqDyNWs57vbWkRufZNQLj9uv3dY2kkMAAALVyMiCOJoRl+TkMpPzspLmTBlWvZcLcPP\ncXdZlJbDFoz648uOhfy0wl1vpHzuEz66qbcjmjs4Kzy65wmKpLzm/pdE0O2boAq4xiJQ7scRy9mK\niecoiveUtDdWlR1d5kxTFBza/rPRbjLYAQACPi80Vx3uLt+9tfngtp9a/F4PAAD4fV7Y/fPXPXWH\ndrfEZeQNuXLiZBAkCVy+aAnav4wgCIIgyIlCmWUEOU1WrLojnsXmHhfAkCTJY7A4c5jsyJJiwYDf\nC35X21D3aa8jxR/wPzXa+TGYrBELObXUHPmPWB6VSjD+WKrN4nCJxOyJjzz20pr6px64o7TvsgM+\n/uidVfc88IU2PW8HySA1AGAQskK2w93Mpf3PeoIEp8rEf1jB9VXrdDo83BFXVOD4WDR+4mx5qHS3\n3uixWYAnlbBzFyhP6PykvkJe0Uxfh0imDLsvVxMTK7iCaQS7ixE62Npab/KyuDGcgMvlNApVMWqP\nXZRwckGpJE4FDoMNhMohz5EeDi6LZUV5PWSL3e6kcAY3hezsSJ1w7pjsMR6IweFj0ozC6KqSn7oT\n0nP4jRUHm/1eL5E9dV5sU1WpXl9TZhJI5XK5Jk6lzcgDU2erp/7IPkPQ7wuQDJZvwpzzEyL9N36i\n8medd6Gps/UcAPjtlA6EIAiCIMifEgqWEeQ0ee+tNfrXNnzlHnw9Kj45Kqq18Zqg3wcMFjuSrvyY\ntWMjrc64CUjWsVm0UBBomip/d926Ue0vvX7FLXKBRFY4XJvO5rqKmoM7jRdce9cybNDRTarYxFyH\nxXQXAFw78Ppbr75k1el0uUVFR5eDS/wUdlxQGKIwLgwsmT0QhrWHu5xYMDVe2tHsbGo63ByIztMO\nN/fhBLsanGZ7J8vtsAW4AhEDACAUDAJB9n679Hu9mFDA4+VOns6Ma6znqmNiuQwmC6hQEHCCVFWV\nl5lK9E3dAVnCCe05Bp6EAP1BO5BMNnDFo9tU3IfNYbrTnS0OMRcY8dMWj1mg7Oxo6mFJlDIGh0cA\nADj01XqNQiHdvenrtonzLtD2B78peVOOe+8ydSxHpo4d12XRLA4XtBn5VwIKlhEEQZBTYLL2hD7X\nHpWvT/kIyHDQ8jQEOU3ueODhB5Qx2rBLUPNnLuREGCgDm8vPkbjbi3H93v+B13FsNtje1c1192wZ\n7dwwDOxOq9k21H1zd3tn6bafrpEoNQUkM/xJVNKo6Pl33P+wdvD1/kD5pZdfiVFp4qMKVI6qwW28\nQUJlcDPCLkN3duq/8zttoXD3xBotn0lAEDO3GMFpsg81/6Oo3sR1qLPW7a/Z1eM8sr2lw+ChzDSf\niWE4CQDw+4//7fj4i6+6/vXFf9or9xU74tJyJD6vxwIAEJeYzGX0FcnCid5gOiM7VzYpmisAt/XE\nl2NTQRpwsq9qGA3gMLrB1ulgGmr1DEPt0MXcQgGQdh1qXJKXIL/+2mUJC+Yv0jg7GzuGak5TIRh4\nvNdwPOZus4aNcT2dzXqf0+a2Ve1tFBA0XTDrXMG0xZfFnOos8YmwmXsok8O5YOUjz19/uueCIAiC\nIMjZB2WWEeQ0uOHmW68smL3oMYUmfuRjiUag1qYkq7Rpi6wHd14mc3euMAsS5tEE04Z5HYUQCtg+\nXr+ueLR9fvDuO/7oxIxfouKTrzd06B04TgjU2hQcAMDjcnir9hd/FpeW83xq/tRZQ/UhUaijVbEJ\niwHgnXD3NdExF6SkpikO1nz5CgD9ycBTEdxBgmVyMy8AgOr+azqdDs/IzJpVVbH7Z2FM0g4mXzQ3\nXL9ZU2cnAwDU79/RbOZJhYANXZzaV/arwYpLnU5SFhNgpigxNgU0TkLQU2Otr6tuwAHIAxYOvwPX\nyiEYhAIi2IVhmCAU8Pks3Z20RKUO2znJZIfwoNdGAYy+2JffDSBQcAEwjG+orBczAJs9ZVISi8MF\nksEQVFWVG3a1t3dRAnXU4LO1GZaW1kuXnp/YH7gLpXI8sKc4ZPF5Wv12M0OUnMtjC2VHz1+21x5s\nDNLAlGVMihluSh6LwSIK2N1JeYXSti2/dGOdtea5884d3fFY46yu8pCxwxXwCzKmxoG8Y/XyVff8\nuuGtV0e1bx9BEARBkL82FCwjyGlAh4L7Go4ceJcrEP9DoohSDbzX09Z02NzdvhHHyXQ2lyfqam2Q\npRXMyBPJFGH7wnEc5Jq4S2sO7voPh/J9pvU0fmC32bhqjSajsqJ874nOsWr/jhUMJmuvqadz4cIr\nVlzmslupYMBvqj5Q/IpIppiWPXXewuGexzAM+GLpkAFVZ0eHNa+g4BKKxmwEBkADDRT9R+zpDeHa\nge2vWnbtK2kZGbc/88SjcW5T51ZxQtbcwcu/B5KrNBqzzewHvuyP1LfTZAMGRwgMJhY0tlkNRJTX\nyY05ukyZ7tuz3MJJE39YCb1n/2L9/3twqKyuwzw2c5tYrpIPFSgDAGRk5iio0OGe3U21bUFZQgwQ\nIx+/dZSt04a7zNTseJEnbe6i46piZ2XnK/jcekd9XXlXi5/t9Yvj44HBwoCmAXMaGP37rvvNPXdJ\nLEmSQIWCsKP0sIXJE4Gru83m6WpwTpk8Pf7A3pLOUMAPBOP4FQJUKAiOhsP1SbGxytiMwhgAgDnz\nFg5dVfwM0m1zmYQJ2WkAAHxVbJI8o/BfOp1uXlFRUWSpdARBEARB/vJQsIwgp8GH779Xr9PpHoxL\nzV46MFimaRpaass3rL7t+tf7r91x30MKHCP2Fc5fOuQe2PQJMy4hGcyNZTt/u+iNN14KAoAdAPac\nzByLiorooqKi9fc+8lSUob35gsq927/zeV0b0ibMuD8xa8I5Iz1P0zR43S7jUPf37in5T4gKNUfx\nfFVBOZbsDhAJzTbO0v6A2R0gztfpdHcWFRVROp2OjIuPPx/HcTeLzbZb6o8UyVIKHmSL5UOu/eUp\nNUyieXc77TRglDBKhbvMPTKw43az39pu8uE+gkc4efGxkX49hP7udkPASy69eF4Mi8MdsX1WTp4y\nLd0PHxf91xiMyZcCkxN+2wtNA3gdPtLeaQQ6hGerRVRKwgyNVBk1ZDAen5gsiE9MFlAUBWUH9xlr\num1mzGNjL126OA4flG0m+/Za4wQJUSws6NIfNk7KmyRn5eeIcByHggmTo8o72q0CTYJ44HM+h8VJ\nddQZZs+anzy4z7MBhvXueQ8F/LS5ev8RhlAaL4xJzgOAg6d5agiCIAiCnCVQsIwgp0ly7qTVsSlZ\nKQOvdbc0tFQf2Plu/+v/e+bluRpt6l1pE6YPWywKJwhIyZtyrstmuQcAnhnLeTJZ7Nbykl+/lShj\njiTmLC6SKjXDHqwbCgahct/2ryw9Hb9bejo/HapdXzDeH9DfueTiy9kkTr1WZ+atFLGCZTJO4NP+\natgXXnzpnekZmWkBvx+SklJmVNU3VtHU8AlCBosDMkaAh3Fxp9tQ3qNJyRaJNAVcl7nHZy7e02Vm\nqdSpvsqWBjIxLkSMvD88iuHx3nLDilFlVUkGE/5x8VL5zp072upDMVLgCHqjbEePle1ot2skogCX\nAZyExFiZJv7c6NH0DdC7qiC/cIo8H0CurznictoswOEJhmyfljPhuOUJ0qhoki4vtcOAYNlrNVpY\nljbPhDljX0V7PLTUltcErD10w48f9RAcXmDB4kvSq8v2lXk5bPHITyMIgiAIgvRCwTKCnAYrVt7K\nsxq7/z644LPNbPj1k48+8Oh0OjKtYPrqCfMueIgvkkRUOQnDMAAMO7kzfsN4/tEHNlx97XVfphfO\nKR0pUN7327dlPq/7pap9O74Id+zTcH7475fe8/52xVq9jbOCwGkfhwxt7L+nVKqmbPhg/Tder1d5\n+NDBzfwo7RqSzR0xwtVOXSgGgGMCJJ5UyYqLlnEklpbWa5ddnrDuw8/azRQPN/GThz1tSh8Uqz75\n+OOOa669VjOa98XmcGH+gvNiWDuL9dUmI0mRLNa8eAEjJf3CuNH0M5LY5Ezega0/GhWaOPlon8UI\nRoimKcAwHAIeV4Bt63AUTJszpvMbL8FAACzdHcy5iy5OoPvOq8YwDCbNWVTYUH7gvptuvX3H+rfX\njngsGoIgCIIgyNm3tg5B/gQUcUkfXHjj/VkE+cdeVr/XE+psrtsEADBx3pKiGUsufzLSQLmfx2n3\nnMy8brxpRdiCVCn5U9fEJGeGrU7dr72hSt/RXDvnqQfu+NdoA+V+QlaoSsnz7zF5mJO6XawX+6/v\n3VPyzr69e66urDhynjgh8/9UeTMyGVzB0BuWRyAV8bwXnTcnHidIWHbZUg0r6GAwfZbjjvEayMeS\n8itDMcJ9xVscJzLmzBkz4xfnxMnkjmZ/SnrWmJ81gRME8ARiB0WN/ks/acrMBHtzlR4AwNdR31Qw\nZdZZGSi31FU0HinZ3JoxeXYCQG+QPHBfe2JmweLU/GljuvICQRAEQZA/LxQsI8g4u37FLanJuVMW\n4gRxzPXGioM/PvfwvV/pdDqmXB07cWAgHan0iTMeufeRpy47kXk9+tjji5RK5VqdTnfM94WVd9xD\nxiRnDFtMy2bqcZZu33TFW6++ZA13X6fTYTqdbsTgtqioiFZw/R8pub72KL6vBQDg7XXvFianpL7C\n5rC5FE8qJpjsBRyZeuIo395RblOXPU4mFkoUUTgAgFAiw5Zfcp747vOSibhAUwMAAEYFwz7rY0n5\n31QHYM/ukq4TGTs6LoF90SV/H1VmejTEcpXKaTOP+jmCIAAjmXwAgFAoRAQDozqW+4zgsluDLpuF\nKpi9KJY5xLFrGI5DSt7kW59/86NrwzZAEARBEAQZAAXLCDLOhBK5yuWwHhNUdunrm5qrDt8FAMAT\nitVtDVUtZTt/K6FHmSVksjhin9t5QoEcj8e7omDCRD4MWhsel5p9i0abelxV5n40RUFj+YE1a15+\nbne4+y+8/fGqpdff07Ro2ap9T7327uUjBc27Nn22PlvhzNj986erAAC4HG4hhmHude+8YxSoEy5K\nOEc3hy2SDb0xdxg+h9XJcfZYkjNyj1marVBHk1HRcaxrl8yIywhW6XNCle1A02H78HIUguYO47BZ\n6OGcymJZam0Kt7W2oulIyRaD3xv5IgMmiw2Usc3naKtv5ZEYebYV9AoG/NBQvt+VkJk/5L/TflyB\niJ+SP/XlZ9e8f8N4zA1BEARBkLPX2fUbEYL8CXB4glixVHG0ArbbYfdUHSh+8dXnHm8CANjwwXr9\nE/etmllTumtOc/Xhn0fTt83U0wGAjfosWZ1ORwKGzTp4YP/nRUVFR6PEex95Kk6bnnfv4Cz4QD1t\nzZYjJb8/H6ZP4o1P/vsvu8VwiywqJj42JWvixLnnf3HOZdd//8Djz2mHm8/Gb/99dKnz8muvXrez\nePvfAAAIFuekCjR5Oup7JkyZNWSxNKlcxVhx7VXxFy05T53gq9YTAVfYTyukAjbrZOZxqmA4DmkT\npiWEAj6KZI5uirMWnK+ZmJoUO2n63Pj+c5rPFk6bxchgshxs7rBb6o8SSuWKjEmzX334mZefPcVT\nQxAEQRDkLIaCZQQZR9fftGIhg81+TRmbyAUA6Glt6jy47ceHnn/k/ncHt13/9tpAU2Xpgw6ryR5p\n/0KZIp5kMB8f7bymTZ95z7JrlifabbajgeTDz71amDVl7hdyTdywlbhZHC4Hw/Hj1r1GJ6VfmVYw\n7aq5F1+bxehbFstgsbGknMILkvMmr7/1rvskkc5vzRtvWAAA3MaOLV2Hi98Oet2jPivX73IEo6Vi\n1cgtASTyKPyqpfPUf0/yOcmA49gULU0B0NQJ75c+1Xra9Z3azALxaLPDJIMJPOHZVyw6FAxCe2OV\nN6NwVsxonuOLJMKp51/+wD/f//dT993/AHnTihUSAIDbb78jSafTDf3pEIIgCIIgfxlnV/oAQc5y\nDqtli6WnowsAlDWlJfsayvbd9PqLTx8eqv0Ljz14eF1G/maBWHZxJP0TJJMmGMxhg9vBnnz6GdWc\nufOub29tNXm93mkAAKuffeVvBbMXbRBKFSMGtM3VZd99uuHDo+cpX3fjzaz82YveiU5Mu3SojLQ2\nPW8BQZC/3slkL37jpWcMkc713eceLgGAklsff6U1Zvr5zxMMZkTPBb1u8DQc7Jiy8G8RF66SK9VM\nuVLNlMjLnWV1LY1tJhfm9lPsGD4dnHfOZRGfzzyezN0dRqBpjliuOiMz32ONpigo37OlKWfqvBM6\n4orF5pBsnuD6YCj07dRpM15VKlX7ll548dV1tTU/FRUVLR/j6SIIgiAIcpZBwTKCjKOioqLAyltW\n7f1hwxsHMZp67o2Xn6sb6RmbqacYAEYMlt0OG/3V20/XYzSMqjqTxWKZ0dBQL2CyWFYcx28DAKg7\ntOfHpOzCjkiCZZ/HuWfg6/TCmbenT5xx3XAFwQAANAlpE/XVZfcAwP+NZr4AAFZ91essoXSCKn+W\nbqRxXD3tblftPs/s8y87GihXlu6xpudNEtvNPSCUKofdR5ySkc1PycjmAwDYLSZoratoJskz71tn\nKBiArpb6YOak2aM+Oups5bCZAzFJGSe1bDwhIz+6S1+feMN1184BAEhLz1BTFBXxag4EQRAEQf68\n0DJsBBln695566Y1Lz1zXSSBMgBAV3NdgAoNv+rYZbf6v//w1YpQMFRP4Phro5mP2+ncQVGU2Wqx\ndAPQ/YXHmGwuf8SqzU6bxdvT2rRx4DVZVMx5IwWwAAAESYJIpswczVz7fb7hA29PecnV9pbavSO1\n5SmjuYLM6eS+ku16iqLg5+++7HAINdxffvymY9tvG82jqfwslMhAo00Rdrc1ndDxUaeKz+uhK/Zu\n06fmTY063XMZL163M9BUUdolkilP6ucYyWRCTHLGLTqdjgQA2L9/79NNjQ2fjs0sEQRBEAQ5m6Fg\nGUHOUPc/9vQT733za+mEuec/OFyBLb/PS5WX/G7gCkSv87ncBzds+OiXUQ7lKD9StndX8Y5PMQyj\nAQBiU7MXS5TqEbPKLTVHflr7zxeq+1/rdDqMyeakRDqwNjN//h33r84Z5XwBAEDIYZzXdWj7a0Gv\n+7giXDRFAT2gmjVHqhQFWXzGrz8UdbBUCVxvZ2NLrCaaeeEV10uHOmZoKBKlWmrp7jihiuOnSlt9\npT576jnxJDOyZelnI4/L4W+qPNTc1lDV1d3WZGmqLDUqY7RcMsKl+MOJT8udN/nci14DAMDZwgCF\nkUuHa3/TTTelL1++XHbSAyMIgiAIckZDwTKCnIHuevDR6LQJM6/Wpufnq+KSogF6A0BDu97idtjc\nQb8faIqCsp2/1ZRs+uqulurSH7r09Z+sX/9exWjHeu+9d71sFvvrhKQk13vvvWcHAODwBKxIghCK\nCjUMfB2XmjNBKFVEfI6wQCzjSVXRJ3Rm8jtvv/1d0OeO6Tjw+/OWxvIej6XHAgBAhYLQ8Ovn3pDv\n2NOdJMm5GuXkRRrKabLMmTknOWvitBNerkzT9BlV4MtpNWPUKI8ZO9vUl+1rj0/P1UbFp0RJ5FES\nLl/M5gpEkZW/HgFOEJCaP/XGN//13UfpE6a/ljxp3iV33L9aGq7typW3qCiaXgwYdsLHhyEIgiAI\ncnY48zbeIQgCIrlydVxqduLAa26nzV/847+v8jgd9wpE0l+5fJ7WZ7e8/fpr/yw/2fGEIhHZ2tpy\ndO+xQhOXFclzOEEcUz45IatgOZcvZIxmbJFcdULFmQAAPlm39hWdToeZqg+8wxYr/DxlzNtRBXMW\n4QyWxdHRJBNrM7gY/kdW3mMx2IJu50mnIrUZ+fFVB3a2Z0ycEX2yfY0FiVJNnG1nI4+WXBPH3vfb\nt51TFl6sBpKE+PSciKupR4LDF7JTC6YtBwCgaRoUmvgrdDrdu0VFRSEAgOXXXccPBgKUyWTsUami\n/u31ecdyeARBEARBzkAoWEaQM1AoGEoffM1uNnQTOFbqspnP2/D+u9T//d/qdTweN+JK0sO54/ZV\n3w18zeRwCyJ5js3hcQa+xgAbdSDK5QtPKLPcr+9c6Pa+l7pbHn95FpMnfKnh53/FFt5y7PHPPv0R\nx8KlulEdMRQOh8dnBHyegNtho7kC0WnLMutrjjT7vR4fTVOCP3uwrI5PVtuM3Y12syEglCpG9YHM\naB0u/rUhGAwYF161smrm0quqe1obX3r24XuLb7vt9rnBUJB6882120/l+AiCIAiCnBlQsIwgZyCB\nRHZMEErTNNSUlrzz5qsvd/df6+ruWv3Rhx+ax3psnU5HcHjCiJZSYzgepdPpsL6AFZqrDr2qiku8\nQihVCCN5Phjw01Zjd+nJzHewd568f8fVN916rXbupf8CgML+6363I+Qwdgmaqg4bEzLyTrpitFQV\nza7aX2ydOO+CMc1wjobX7QikFUxPO13jj7f0iTMSj+za3JQzff4Jr0aIRPbUeUmmrtY1qthEFQCk\nxKVlL3yay7/+0btv/vxUjosgCIIgyJnlz52KQJCzkE6nI02drXhrfaUBAMBlt7oPbtv4vqmt+f2B\n7U5FoAwAkJg14aqouKT8kdqFgkFQxSbOTcqZtKr/2stPP1LT3dr0baRjle36bdODK69+9ETnOpRP\n179da2utW+axGLoBAAJedxDvrG3/27JbREDT7l0bvzzpAl1t9ZXYUIGy02ahDm7b2HOyY4xEGZMg\na2uotpzqcc4kLC4vcKrHIBkM6AuUAQCAJxCz0gtnrnnoqZdmneqxEQRBEAQ5cwxdYhdBkNOisrKS\n2rlt8/sJsdENVmN3u776yLYn7r3lngP7957ygkKPvbhmacGcxe9y+ALOSG2N7fpQ8Q9fbGGwWM7i\nLb9t7r+enZ1dymRz5gqlihGPMao+uNN//iVX4llZWZ17du0Y07NtDxRvMRXOWRDDlaunehoPNU2b\ntSABAECiiBJZDF1OgVjGY7DYJ7SEuqmi1KCMTuDzRRIGFQoCDQD9x2UZO1uDNlO3JSYxg11bWtKp\nik0UD9/biePwBJy2hqoORXR82GJUf0YOq8lGUzSLwxOc0qXYg7G5PK5MHXtZrFrFKtmxZet4jo0g\nCIKckZ4499o7Tvkgv328BgDgyVM+EBIWWoaNIGeoN1569hsA+GY8x6QoSiqUKiJaVmw1dtV6nPa/\ne5yOYw4qfunJ1c2PvvjG6zHJmRtG6mPeJcve9l58AAAgAElEQVSzAGBtZ3PtHbcG/FPefv2VMc2S\nBjoaOnpcts755y5JGng9a/KcqINbN9oxDHcxOVyaCgaZLocVn7boUilODP9tsa2hqpsrFAtEUgX3\n8M5f29gcXhAAAhiOA47hOJPL5cSn5WoAAGJTs+kjuzZ3SaOi+dGJ6WNSuXkwTWKaorWuwhSbkvWX\nOMpIm56X2HBkXxOTzdHyhOJx3S8uEMsEqtiEv8TXGUEQBEEQFCwjCDKAsUO/2WbqcYjlKsFIbXGC\ndFmN3db+/coDdenrf7OZenwimZIVybhqbWpKasG0r3Q63blFRUVjcgbSP66+Rsgiwb9gyaXqwfcI\nkgGTFlwopGlaiGEYUKEQ+Lxu36Edv3SkFkzT8EVDf17AYnHELfUVbrcjuid3+gJtf0Y5HLFcJRTJ\nlMLO5rr2hiP7nUk5hSNm20cLx3CapqnRHRZ9lkvMLkyoObCzLTl3csx4ni2NYRhoMwuW3XrX/cVv\nv/7yl+M2MIIgCIIgpwXas4wgyFHr1r7W5nbYmiNpixGEZ6h7DCYbt5sN/qHuD0TTNLTWVew1tDev\n00SfdKHqP+aH498yWJyrhm3TF+jiBAEcnoCVPnGm2mrs8g33jCJGy8qbca4kITN/2EB54BiahNRo\nj9txSg5Ctpl6HHGpObxT0feZCsMwSJswPabuyL72kVuPrS59fZXdbPhxvMdFEARBEGT8oWAZQZCj\nblx5GxkKBo7LFIdjNxtkABB232hy7qQbYlOyRsxOAwC01JZX79709TkZ2mjt7DlzHx7FdI+j0+mI\nO++8iwcA8NnHG+a5HfYr7GajI9LnMRwPBYOBIT8E6EcyIs9mUqEQVO7bro9Py1ON3Hr0xAqV0tDW\n/Jc79BfDcQgF/KHxHpfN42tEcuVfKpOPIAiCIH9VKFhGEOQoDo+vU2uTcyNp6zAbXigqKgqbPaao\nUDDSMWVR0arUgqn3mYyGjRiGLb3hhhu4kT47mFKlItgcztHnX3v+ycaa0l13t9ZVRBQwc3h80mro\nsp3o+OHoa8raUwumxwvE0lNSUJEvlDDbm2rG5Lztsw1XIB52FcCpoE3Pi49LzSka73ERBEEQBBl/\nKFhGEOQogUROk4yRtxlbDF1Wq7H796HuO61mVjAQ0Sps4Iukkpxp858gFQnvNDQ0vG232yMOtAd7\n6803/S++8PwxgePDt9/wgbGjZetIz3qcjmCnvs5OkuSYBbUOi8kT8PuDJHnqykPUHt7TkJw7OfaU\nDXAGC/g8RDB4wv9cTphEETXuQTqCIAiCIOMPBcsIghzlcdpNVGjkla02Y1d7d0uDcaj7FXu2PrZ/\n8/ePhSIMZHCCACoU0u/dvevjobLVJ4PJ5uwbqU3toZIeQ5ueypw8d0w2TlMUBU2VpT2p+VPix6K/\ncGiaBioUIocrSPZnlpI3JbH2UEnzeI/LYLLl96x+InO8x0UQBEEQZHyhatgIghzFYLEVGD7yZ2j6\nmvJWpUo15N7moqIiWpOQup2mI9r+DAAAoWCgKVxl7bHA5YtmDHXPZbd6OppqDdKoGFFscqZorMak\nKQpIknFK99R2NNZY1AkpY1cV7SzTV5jtlBROG050UvpEt9P2NQBkjPfYCIIgCIKMH5RZRhDkqFAo\nOOLy0rrDe4/4Pa673nrzzWEzwE6bucTU1aqPdGy+WDY/0rajsfKOexbwJbLkcPdCwSCU7frNmpRT\nGDeWgTIAAEGSEAwFGRR16mI5FpdLEjj5l/4+LhBJeTWlJfWGjlbneI7L4QnDFrdDEARBkL+AGQBw\n9emexHj4S/+ShSDIsVgcHox0HFJL7ZGnX376kZqR+vrg3Xf83S0Nb7vs1oiKa/GE4uxrr79xzNcT\nM1nsVW67NWz21etxUcqYBBEeQTb9RGRNnh1b8lNRp7GjtauzudZsM/UEggE/2Ew97rHo39jR2iOQ\nyEY+v+pPTK6JU3H5IsJm7BqxivlYYrI5Ep1Od8LF6BAEQRDkLLYTAMbkd5kzHQqWEQQ5isliD3sk\njt/nBZ/HHXHl5ftuuuqlw8W/3NRYfqB6pL3Qxo6WYrfDZo2070hlTp5jjU/PDVu1jMXm4j2tTafs\n2KWuloaOuNRs0uO24xy+iO9xObHm6sNOr9tFV+ze2tlUWdrocTlOaI82RVFAUxQ6wggA3A4rnZw7\nSTGeY7I4XEymjtWM55gIgiAIMoThipNOAICnAeCfAMAd4fojAPA4AIy02u5qAOAMeM0EgAf6/j4b\nAO4EgC0AEA8AM/vurQeAwUmRuQBwIQBMA4DBiY1w84i03QIAmDLCe4gI2rOMIMhRQpkyYbj79WV7\nK83d7XtG0+cT9636UqfTfTPlvEtel6vj5koUUWlsnoCwGbvNzdVlnwHQZg5PEFNftm/1WO5ZXv3s\nP7MkiqgloWBgyOXdXrczGAz6T1lmlmQweSEswNYkpA0I1hP5AACq2AQeAEDp9p8NudPnK4hRVsy2\nmbq9msT0EYM1mqLg8M5f9UKpgohLzYkhGX+u1cNtDdWdck1c1HiP6/e6Kb/XM+Yf7iAIgiB/bQ2H\ndkPjoYh+1coGgHMAgA0A3/ZdWwwA/b9L/QoAlQBwBQA8BL1Lp88d0Hbw9U0A4AEAPgAkAsBFAPAy\nANwHAPa+8fYCQCH0BtkDt9otBYDf+v6+HQCKASCtr42+7/XDACAGAEvfeNMBQAYAmwEgFXoz1UsB\ngAEA9QCQAgBX9d1rhN7gOxV649frAKAbAN4b0E4MAK6+ZzcCwAsAMKrfWcNBwTKCILDyjntIr8sR\nw2SxF4a7X1u6u4rBZPmNLXUfzps792+ffPTBl6Ppv6ioKFBUVLQKAODWu+5P5/AFKT6Pu+LNf77Q\neN311/PUas2UN1565qTPCl55xz0ctTZlZXRi2nVCqVIhlquOC6K6WxpNPJFEwhdJcL5IQsal5tJ7\nf/lvR+7MczVsLv9kpwAAvVlfm6nHYjV221Pyhq+GnTdjvqKmdHdrRuHMUR3/JJap2OV7trZlTJod\nM9zRVC215ab0iTPiTd3t1oby/aZQKOgQiGSs2JRM9WjGO1P4PO5g1YHiTg5PEPS5nXhidmEsXyQZ\n91VScnWcLDV/6vMA79w03mMjCIIgf15J+VMhKX/q0de/fbI2XLOJ0JsF/gwAfgQAL/QGpwOTDoMT\nEEMlB/qvnw+9AbMOAJ6E3mDa3dfPJ9AbyB4BgBoAyIVjg+V4ANg14PXF8EdQDtAbzDb1/YG+vu4B\ngPnQG+z3OwAAswBADgB1APA5ANwFAJ8CgBV6A/Un+p7r198ubcCzAL1B90lDwTKCIMDlC2+Yr7vh\nLaFEHnYZD18sDdSWlrzGFUgXWK2W909mrLdff7kaAKr7X3/04YcunU637WT6BADQ6XR4RuGsb9Mn\nzjh3uH3Xnfo6F8lkMaVKjV+TkCqLT8uWcvkCj8tho9hc/kkFXVQoBF36eoPF0OmRq+MUaQXTRtyD\njRMkKGMTZK31lc2xyZnaSMfCcBwyJ82Kqdpf3JY99Y/jrnramgxsnkDAZLHZnc11PR6HHWNz+RCd\nkCamKAoq927zKmO0yhN8i6eV1+0MVB/Y2Z0/67zTfq40huPA5vK7Tvc8EARBkL+kA9AbkCYBwA0A\nsBUAKqA3kB3s39AbYHL6/jsTegPPwdfvBYD/AsBl0LuM+kkAeLGvjwAAUAP+O/j3pVIAyASAzr7X\nCwHg5r6/66B32fZPABAHAC0A8AMA3AIAsdC7/7mfFHqz2+kAUAYAK6E3Y9wf+NPQu+z60b6x3u97\nzyuhN3j3QG/QTAJARDVzRvKXLgyDIAjAoy+8fmH+7EWfCMQy4UhtQ8EglGz6avlTD9z+8XjMbTQe\ne3HN3VMX/T979x3fVnU9APy8p723ZEsekrz3SGJnJ4QQNoVSd0PZtIy2UKCsMsoqoxRoKaWsX+mu\nC7RA2QkkcYgT20nseO9tWbasvaX3fn8kDo7jbcmyk/P9fPKJ/XTffUeyP5bOu/eee/mzTBZ7ysdp\nmgaXbSw4MthjMeYUxx3Z+7EpPjmNYPP40s76anPe+u2JbM7ilgB3HK3qSkzLNbC5vNkbT9LdVGum\nqHDYmFM85xFfy1Cfva+t0R0MBiiBSBIiSJJQxifKXfYxisFkc9WJBg6bzQaSwQQqHIK6L3f2ZK7a\nmMTlC1bU3/5wKASHvvjfgEimJDJXbYj5OmGapsHjtDuaqyvuuueWq1+OdTwIIYRign5yV3vUL/Lz\nbakAS5OzbQGAxQxeXAnHRqCXgy1wbBS7d7EdragPTAihyLrn0aeLCzac855co5tzAmLu7x6oeO9v\nBX/47W8s0Yxtvl5/d3dFQmr2tPspN9fsc/Y011FaY0aQIMChSjCogKLZXIGAI1FoIhJDy6H9rRnF\n69IXen5TdYU1o3i9bLbq3DRFwcGd7w4qNDrWXAtbNVVXdKcXluoZzJW3Ztk2Oux0261hXUqmNNax\nAAD89Zl7qKIt57/90x9cXhbrWBBCCMXM6ZYsoylgNWyEzmAMJitXptbOa6ROpUvWxenTvhatmBaK\nIMmph5SPy1y1QXTu934kSc7IE+eu3WYc7ukY1SQZI5YoAwBQdHhRS1u0hjTp2PDAjPsFe5z2UNXO\n94ZXbblAO58K0DyhCFZiogwAIFVqRKOmpd1HeSYimdLTerjyiVjHgRBCCKHowmQZoTMYjy/Uz7av\n8mQEQYBKm7w6SiEtGE3Rc9oCSixXsfvaGkwpeatnLLw1X36vB3h80aIyb4lCQwx2t1r8Pi9F01MX\nBufw+Ey+SEww2TPeGzhJwO8Dt8N+IpEf7uv0HPz0P4ODXa2W6a6znJj7uhyaBMOSbg01k4uvuV0o\n12hTYh0HQgghhKILk2WEzmA8oXjeH/ipcBhso6b6aMSzUPc++sy5Qqk8ay5tm6r2jnrcLq5ALI3o\n3z8Ojw8ep33RFb3z152dPNDZ7GqrO9g/1eMEMf+wXbaxkM6YoQQAaDi4p5skGeTqsy/R8oQiRVP1\n3h6KoqC/vWm4/WjV0Gz7YUcLTdMQDPjB1NM+2NlwqKevraGPpmkYGewdGRnqdSh1+in3yo4FgiBA\nEZ+4dvaWCCGEEFrJMFlG6AzGYDDnPazY01z3+ZE9Hy2boka/fvUfT5bsuOy/UqVGOXtrgKw1m5Ry\nTXyos/HQQKRjIRkkOxQMLLqfpNQcMYfLm3JK93Bv55BKmzSvCmJ2y7AnHAz42+uqurWGtHiVLplL\nkiTIVPHA5QtZTVV7OuOSUzRytU7ZXFMxZZIebU3VFR19rY1uoVShMeYUJ8vU2sTGqj2dQb+PnVOy\nZcbtsZbaZ/98JTzc2/m9H95626xF8RBCCCG0cmGyjNAZLOD3zmuEeGSgp7/l8Jc/Ki8vj83w4yR3\n/OKRC+KSUy/lC8XzGnVUxScpORwBDHW3RmRbAQCAgM8LAAR7umrc88FksyHg8zmmeozBYrFEMqVo\nPv0ZsovEFEVxtYb0ZJkq/qTXyphTrM0p3Wpkstgg12hZDBbbs5jYF2LMPORQaZN0xtwigVAiYwAA\nCCUyyCnZYtQa0iVLHc9szi67liGSKfg+j6v1tnse1N52+88KYh0TQgghhCIPk2WEzmBsDi9urm2P\n73H7+LOPPzTVHn5L7oGnXrh1y2U/eFelS15Q9WldSoaOpuhw3f6dPXbLSGiu540O9jqmmqrc2XCo\nM72wdE6j23NBhUOnLCbvbjrSYR0Zsjuso/MudqXSJXP4IsmsC9TVCfrkwa6WodnaRQJNUWDqbbeY\n+zptKl3y4vbtWkIEScKasy8Rffdnj2syita92d/XezTWMSGEEEIo8pbPvDaE0JJjcbin7OlLUxQ4\nbRYIhYJjVCjElqrihLYRU1fLoS9vf+Tun/wnFnFOxWm1HGGQDMZi+tAaM6RaY4a09Uhlr80yLEhO\nz1VM1c7c1+UimUyCyxewhvu7vZ2NhwOhQCBUuuOyOMZX04MJkhG5P6nqRIOxrfaAyZBdHMdkscBp\ntQSZHK5Wn1U4/02c50GmiueM9HcHzf3dY+oEvTxa16FpGvZ/9G9T8VkXxcUlpU75uq8EPKE4B3BL\nD4QQQui0hMkyQmcwp81iCwb8wGIfm5nr93lD9ft3/be5puJpgVjW6XHaZGKFWkdTVMtvn3liMMbh\nnsRqHuz1+zw0k81edKKSkrsq6fCej/uT03NPeczrdoZddmtArtFJTd0drrT8NRo2lwehUAgaq/f2\n5q09K4mmKKCocETLSstU8QyJQhPX2VDTmZq3xsjm8lh0mKIieY3ppBetS6qv/KJLqU2Sz7bn80J1\nNR7uKz7rokQujx+V/pfK6FDvq8tlWQJCCCGEIguTZYTOYNU7373F53FVxuvTvhkOBh12i3nfPTdf\n9fsJTUYAoLWsrIy84447L7BarYdee+1VU6zincjtsJm8LodDIJYuek2rzWJ267MKppySbu7rGkrK\nyE1gstggVWlOFHRiMpmg0eklPc213QG/P6zPKjQuNo7JSJIEFpMtaK6uaA+HQ4K0wrWnzASIFpFM\nIfe6HAGBWMoGODbjoONoTb9CmyiVKtTCcDgEC1mfTYXD0NlwqFMgkclWeqI8Njxo6zha/Wys40AI\nIYRQdGCyjNAZrLy8nC4vL/8zAPx5pnZbt23/IU1TV3OHhr6zRKHNSqVNNvKEYkEk+mKx2GHryPCY\nMj5RPfH4UE+7naYp/nRJoTrRIPF5XBKnbczLF4qjMhU3OatAAwCL2r95IQiSoD0Om8/U2z6kNWRq\nO+ur+1PyVhusw4OuQw01fQwmiyrYcE7yfPfpbjn8ZUdaQWlKJAqhxZptZMj7++eescY6DoQQQghF\nBxb4QgjN6uYf3fj73Z/vKnn0kV+2xzqWcTlrt94uEEsjcsNPLFeJ/T73SdWn3Q6bp6vxcFCfVTjj\nul0uXwjz3cppJUhKy5WGqTBHKFVoOuur+3JKtxq4fCHEG9KFq7ZemJiYmp040t89r0JjIwM9Tk1i\nStLpkCgDAGiSU5W33nFPRqzjQAghhFB0YLKMEJqT8vLyiK7JHffoY49n//2f5XfP55wf33GvWqqM\n2xLJODwOm2K4r/PE2tPetvqR1dsujlh165UoLimFo0kwcHNKt540xdxlt9IO6+iwUpsknGtfPo+b\nbjm83ytVxbEiH2lsCEQSlj6r4NuxjgMhhBBC0YHJMkIoprxer8Xr9c5r651wOHQ9ly9MjWQcDAbT\nptLpT1TXZrLYPjZnxexmtKR6W4926TML4udTjJzLFxCJaTl0zefvu6MY2pLTJBi/fevP7l6x1bwR\nQgghND1cs4wQiqnHHn1kGAD+N59zeEJRjUAii9ga4XAoCCwuVzFe+ZmmaQj5/afHXOEoYHN4zObq\nfZ0EQZASlVoUn5w2p2TR73Hb15x9yZKvv44mdaIhM2ftWW/fegdxwW+feeK0uhGAEEIInekwWUYI\nrSi33nGPJF6f/v1Ibmk0Njzoi09OP1Hperi3c8SQU2SI2AVOM6n5a5IAAKzmIW8w4PfO1t5qHrLY\nLMNjoVBgZZe/noY6Qb++eqdTAwCdsY4FIYQQQpGD07ARQivG1dfdyEkvWvf3vHXbvhfJfgc6ml08\noejE93aLycnlz3k57hkp4POCbdRkUSfoZyyABgBg7u+2GLIK07LXbE5YitiWmkAsY6YXluLaZYQQ\nQug0g8kyQmhFKCsrI4q2nPfX9MK150ey37HhwRBPJGKNr08e7GwZoWli1gTwTDfY0zaqSUqZdUp1\n0O8DgiROq6nXkxEEAcmZBdfdft/DG2IdC0IIIYQiB5NlhNCKULDxnO+m5K7++nz39Z2NXKNlUqHw\niS2QRod63Zmr1ksjepHTUNDntfCF4lkrWzdW7R2Uq3Wn3dZak7G5XBmTyTLO3hIhhBBCKwUmywih\nFUGlTf4Oi8ONbKZ8XMDnpahwGAJ+HwjEMlU0rnG6Yc1SKpyiKGivqxrVJBqI4f7O/qWKK1b625v2\nPfXwvX+OdRwIIYQQihws8IUQWtauv+lWVlpB6WNaY+a5kejP43JQQb8vLJTIWAwmC2iaBpLBCDdV\nV4wacopkJIMRnr0XRNO0b7rHPC4HtB6p7Msp2ZLIZLHBYuo/rZPlvrZGV197479jHQdCCCGEIguT\nZYTQsnXnA48lG3NXvWzILjo3EtWvB7tbHR67jZao4sRtdVX9TBbbFfB5WGkFpcb+9sb2cCjIZbG5\nOONmDkLB4JSj/K1HKs1MFocq2HBO4viUeZLBDPncLporEEZlZkAsBf0+SEzLFo4MdEtiHQtCCCGE\nIuu0++CCEDp9vPTPD/el5K1ev9h+mqorBmwjQ0wWh8tYve1i5VRt9n/01rBKl+RPzTu2LRKaWXdz\nncvtsA2n5q/R0+Ew2XKk0sRgMLxJGblqsUx1UilxmqahqXpvV/aazafddlwth/cH6is/9/o9LidX\nIDL84YVnQ7GOCSGE0JKgn9zVHvWL/HxbKgDmbDGDI8sIoWWLL5IoFttHe93BbrlGp85avXHGPX7X\nnXf5aV2xOdL0mflCABD2tB7t9jod4uw1m+JZbM6UbQmCAF1Klrzl8P5WmgozVAmGJIVGN2txsOWO\noihgc7jhzZd8jwcAROXHb70GAD+IdVwIIYQQigxMlhFCy9J1P7xZzhOKF7Uvb0d9tUmm1mkUcad/\nNeZY8bocYad1FKZLlMdJ5CqJRK6SAADUV37er9DoVvyeyyRJgiG7aPx3i61O0ItjGhBCCCGEIgrX\n5iGEliV9duH1EoVasJg+CIIIYaIcPT3NRy1sDp9XvPXCee1LzWCyaJ/XE62wYkadYPDGOgaEEEII\nRQ4mywihZWl0oO+bi95TmSY4FEVFJiB0koDPCyODPUFjTpGWwZzfJKW0gtLEhv27hk097QEAgK7G\nIy6nbWzFr/VVxiddcM8jT+XHOg6EEEIIRQYmywihZeeJF//vhi2XXZGx2H60xnR55UflIy67FTPm\nCBrsanXVVXw6kFO6dUFrypksFhRtOV/TeHC3t6m6okeh0VEHPnnLGek4I8nv9cCeTz4cMQ/1+6dr\nI5IpJAG/b+edDzx22hUyQwghhM5EuGYZIbSslJWVMdQJ+h8KxNKTpmC77NYgSZIUXySZeXHsBFy+\nkFG643JV3Zef9RdtPm/Fr5G1W8y0RKGOaUXM5sNfdkqkSmbhlvOTmKyF1+giGQzYVnatBAAkNEWB\nIi6xHwBkEQs0QjwuJ/zlj68MHmyysMxupurc4paucy/cHqfSaHgSueqktlbLMNVs5bhHR8d+V1ZW\ndlF5eTkdo7ARQgghFAGYLCOElpW89dtv0hkziyYf76yvGeAJxRKxXOnVJBqlc+kr4POCdcTk5XB4\nc06wl7O2I5Xh1WdfsiR/tymKgs6j1WNAEGRCSpaUKxCCZajPQxIkJ96QrovktTwuBx3wupflPsWt\nRw87Pzpk04aoYzcGWofcxJ5/NHM4UOfNEjlGN61O57e29/iz0xJFgUCA2mNWJMuB6DpQ/iQmyggh\ndJoriluWb10ognAaNkJoWVHpkreTDMZJx5w2i1OqiuelFZTITL2dtnAoBB311Xafxw09LUftFEVB\nOBSE1iOVlsGuFqvf66EbD+4xdTUdsQx2NvtTC0tV01xuRWFxuOGlutZgV0sgHA4HjTnFUpfD6urv\naBoIBvz29MK1EU2UAQAEYikhUcY5QoFApLtetJziUtGOPLZl/HuSCDNCwCKdIOYddCYk/vpzt+L9\nPoX2+V1j7Df3jfkpIMEB4nVryu74eizjRgghhNDi4cgyQmjZKCsrY7I5vLTJx839XaaU3NVpAAAK\njU7ZVntgNCE1W3nw03fGSs65VP7FO3+yxCWm0EnpuUqvy+Hrbqody1y9MY4kT5/7gaFgEA5++h9O\n/oZzYNGFz+YgISWLXV/5Oddps/iU8YlCABBG4zp2i9nbUrPPJZIr/RDTCeanslst9J9ffmVoV31A\nO35vecAcSEgQH3ByeSxXK391PAABNBDgAz7HR/PVAAAB4HCsIHsUAN6OZfwIIYQQWpxl9tEEIXQm\nKisr4wJAiM3l8S++5vZeuUYnAQAIBQPQcbS6n8MTSvVZ+dMmaxRFwemUGE/H7bCFPvjT8+GyWx9c\nkmnlX35QPlq641Ilg7nwtcnT8Xs9wc6GQ2aSwRRmFK1ddvPYfG4XPPSLJ4caTWT8VG+VCQoYHJHl\nx4cI9pTvo2zw+7Og6Ttflj//TtSDRQghFAv0J40jUb/IjmwVAOZsMYMjywihmCgrKyPUCYbzpEp1\nniG7+BanzfLubVeX3bLu/LIquUa33eNyhIe62swMFls4U6IMAGdEogwAIBBLmVlrNvtMvR3uuKSU\nee1tPF+hYABEMkUoGokyAEDL4f2D+evPTo5K5xGw88MPh5qHp06UAQDYAp6fD16HA1iSqdrIaEu3\ngHZcdPHXvz3w3tv/OBjteBFCCCEUeZgsI4RiIr1w7U1rzrn0BQ6XRzKYLBjsat32s/t/qRsZ6Hkp\n6PcZpCqt1pBTFH+mJMJzxWJz3gkF/EUAENVkmQqHQSiWMWZvuUA0vWzffw7t2+1477M6mqKnf/qd\nvV6DRtToSVSoevpYqScl/VKwehnmDqeJSefrhHA46gEjhBBCKCrwUyhCKCbi9GmX8IVicnzkUmtI\nz0pIybq18eDud+QaHakzpvMwUT6VWKEutgwPfDr+/QdvvkDVfP6/0Bdv/ynw7xcfsbXVHpw2OaMo\nCsaGB2YtEmbq7aAP7f6wPt6QNqeq4wvB5nA90ep7MULBAIyaBv1mF6EFmLmg9bCTxWd6LbwUqnkk\n0d9cq/fWHs72HzxqDDQ2m92snLYx/up2K/+Tsy6+MneJwkcIIYRQBC3bO/sIodPXj378swuV8Ykb\nJh/niySp5eXldOm5l++PS041LEUhq5XE3N9NVX70byNJMg5q9en9Kl1ywgVX/pjsa2+kGUxWOBwO\nvdJUteeL0cHeZ1PyVqt5QhHLYRnpdlVY1hYAACAASURBVDmsteoE/bbRwV4xXyhmeAUiwjE20hcM\n+LsEEnmhVKmREgQBQz3th+wW89He5jpLMODP21X+umr19kukCk0Ch8GM3NtFfeXnA4lpuYaIdRgh\nw33doef/+llXn5ev0iXJeomA12W1uOMJAInNz5p054YGAALahxlqg9/U2GsXFFA0ATpRIMxlhoP+\nMIcLANDv5G3lMN13nnvJt3/08bv/WJY3CBBCCCE0NUyWEUJLbnSo92Ov2+kEAMHE47ZRM/H9718h\naT28/3qeQLgpraA0MUYhLksqXTK54aJvj+x++833Kj9+q9qQXfRTv9ets40OSwM+7z9+88TDLx9v\n+sGVV1/LE8mUiS8++2QrAMCdDzxmiNenXdV6eL+Moqh3TT3te8rLywM33vJTZWp+yW1cvkDTcGD3\nLyVK9VMAYNt0yXc3Hfj47bDX5QSGLrJvFQGfNxwIeMOwzN6D3vtw53CzV51GAwkullgKLAAd2dTM\nYoBV4rT5fQE67PSTaSI21ctTyJngdThtzrCSwwSgjg9CDzi5DAA4af52h5V/JQHQBwD3L/2zQggh\nhNBCLasPKgihM4Mhu+jCuKSUuMnH2RzO6F/+8mc7AMBzJZv/DgB3RTsWt8MGAvGx2cY0TUPQ7wM2\nlxftyy4IQRBAAMHx+zzUKy/9th0Abpmu7ZtvvOYFgNbx75/+5X1dAPAgAMBNP71Tlbfu7Cc3Xvyd\nwEBH89/vvOG79wEA3HnP/f/lCyUXdBytKiv/7cPktm9cG0pMzY74+0Tx1guSOuqru1XxSfpI971Q\nI6aB8JEhYNGTVicN8LIy1TBMgUJOWUHB3Ex/Eagk1iWNgoADHACBxO400WFlKjT1t49yEqbunQB/\nmDwt9vpGCCGEziSYLCOElhyXL1QzWexTjvNFEu7411bz0CG/zxvmcHnRKzIFAOFwiH7lwZuI/A3n\n2MRylUimjifiklKW7WJpp3V0//FEeF7KysqIknMu/YVIpjQKxbJSdaIhEwBALFdv/eVvXn7WO9J7\nk9fjLh5srQ1JREK7wJjZ39/RmOx2WBlAEOzctWcJZrvGfLC5AlbA7wM2hzt74yUgU6gYAAQ11WNm\n0JBwvMbHF8S2k35x3YREBASAiCH0AgRPOo9JUKCV0yNiLk3xIfDPtmgFjxBCCKGoWLYfCBFCp69Q\nMDDlcSaLnVlWVkYAADx85y3/HB3oro12LGKZkvj+nU96gn5fsOqz/4aFYtmSLpT2e+e3jHXMPMQu\nKyub9w2EvHXbrsop2fqwMaf4B+OJMgCAzphRklG09jWCI/ACQZoViSn/SyvZRpx1+VWrNl3yPWXu\num0yJosd8RsWCcYMXfWu94Yj3e9C7dpV0eej2bO+J9JAwlejzxQkQ9dAPAy0MgQiVkKCqCUpntue\nqFd0JullXRpDfN+AvEQ1wM8Syfnhmig/BYQQQghFGCbLCKElR9O0k6ZPrTQcr08rKT3368+PJ8zB\nYMC0FPHwhCL+xou/o1pz9iWOw3s+HFuKa447un9X0NzfNeWI5lS0hvTzVm276IH5XKOsrIxvyCl+\nhMlmA03Tp9yskKm1gq1l15+blFcKW79+1eWZqzaoJxZXy1y1IeLDv/axEadcFc+JdL8LEfB54b3K\nTp6FlqrHj7HAH0hlD/YyIDjtz4YAClwgZAyBLr2PYdQP8TIyBoS5qYMsg9HK0ohpBiuohJEBAAiF\ngfz7kjwZhBBCCEUMTsNGCC05q3nwA1NPe0u8Pi1j4nEmiw3Za7bcah0eLP7tpVd0afXp5y5lXFlr\nNil3v/PmAEVRsFTbVinidAQVDs+8R9EEWkM66fe618/zMt6+1obfBAP+q/pa6829rfXrNYnGgNth\n48s1OmLd+d9gAADYx8z8xqo9/XK1ThiXnBK1baMAAOyjw5bM1Rv10bzGXLG5PLj9O5sEf/7vF/0u\nP8XQqfh+NgOYay/6VtLed97uszp8EAiFGY0BvXb8HBLCQAET+OB1Wyb0xQWPQw4Wsw+40hFQGkXg\nsInAPsqEcEkMnhpCCCGEFgGTZYTQkvvDb3/j0CSlPKfS6V9islgnPcZksWDLZVduAIBTtpaKtiN7\nPw61HqnUSVXxwwUbz9EsxTUPffEBnP3N60IwqYIyAIC5vyvE5vJJqVJzInMPBQMwOtj7/lz6/snP\n7795sLPld0KJfMe9t17z6x9cc12cx2m/fevXf0DpMwu4BMmAt196jFp3/jcAAGDDBd+KAwBor6uy\nB/06YEVpPbHH5fQH/N5lsy+Y1+2ku7pbRy78zuVJJPPk38dNl309kaJC0NPQMOyvbBzqDmk0AvCN\nbU5yw65eETsEjBMLlTngdSvAMuwDjmYMVGIAADvIpXaQSyXgvG2JnxZCCCGEFgmnYSOEYqLx4O6X\nTb3tR2IdxziapqHqs/8yRTJlEU8gOjBbe5/HDR6XY84jwtNZs/0Sq7mvs33iMZd9zNHdVLvvwzd/\nF/C6nfax4QFnKHgsJzv0xQePHNn78Quz9fvgU7/duPbcyx8HAOAJRB9ce+NN/R6n/Y6c0q1UWkEp\nk8XhApPFgstuvPuU9wF9dpHkyN6Po7Ke2O/1UM01Fba0gtLkaPS/EAPd7T5uYpZ2cqI8jiSZYMgr\n0Hz9mzvis8gOx4WrZVTxhWXKJK7NxoEAH4AGHrhtKjCPDEBimgXU4sl9uEA4TaVshBBCCC1XmCwj\nhGKivLycHu7r/Md8z+tqPBzua2sIjAz0DAQDfqCpOS/3nZHLdmyp8ut/fOlIW23l03aL2TZdWyoc\nhkNf/M/HZnMXPToaDoWc5oGe4fHnEQ4Fobl63ys3XL59Y8DvFb//+rPKt37/WFzFe3+7oL5y1wsB\nn3dXeXn5jEn6dT+6JUMRn/gbRVyC+PqHfw+X3vhz5kVX36YDAFh/wTdPmlE01ehxyO8DvljqX+xz\nmwqHxyfFMqWbitDPba4aD1Va62v2j0712KjdOcCTqWadacURyeCSq6+Qpq1ZpwYAuPiyHYmlxSns\nczQDIyXCHhgCnX66cwPANi44eIQQQgjFBE7DRgjFjM1sCoeCQZg8FXsmTBabGBseoCymgRcJguDH\nJaeen7V646qFxtDTXBd2Wkep7pY6WpeS9QkAwPNPPVahM2b+ypi76i6xXCWf2N4xNhqoeO9vz2+4\n6Ns3MtnsKecpdxytMat0SSKxXDXjhs31lZ83+9xOu99p/UPdl5+5E1Kzt/S01JUf3vPhPQAA5eXl\n4eNNPVBe/iEAfDiX55RZvP5rqfklqyce8/s8VNbqTT4A4M92PpPNhjHTQES3iqIpCmiaBoIkQZ9V\naGyvPdCfXrRu2tFWl91KCyWRqUxeuXdnLxGfriGYTPbO9/81vPncyzQMBuPEunQPBZy5VBojSRLI\nCT9ynlROZJRuiPNYjLSpq8sWrgpNeR4HvB4lx59XXFbGmPAzRQghhNAyh8kyQihmOhtqnhPJFOev\n2f61bROrL08nGPDTfq/nPeuI6XcdR6t2lpeX04++8Gqjyz72klAilywkhuTMfAZNUYyM4vXQ1954\nYv/iu354xZP3PvrMB7qUzNtUuuRvSRQavtthdTUc/OI3KflrCiSKU6fajgsF/YxQMDjj6G8oEIDR\nwd5hl93aJlXF3dzf3nRzV+ORsd8/9/TQQp7HRCKZMn/yDQixTEnGG9JP3dx6CkwWG9KL1opbDu8f\nIkkGkVZQEreYeDxOu6epusIqlCpEQb/XR9O0iySZ0+anAb8POuprzNrkVIkqQT/nhdMURQFFUcBk\nHntr62isdQ6YTSOcpNxENl/IAgCQFm3X7K06aA5bBkJ5hSWKgb4uC0+ZNO3Pci74inhCGaLE3Kr6\noA/4J154Lng8ctJtLTAKQ6u2fSd14OCnP4Dy8tcXcy2EEEIILR1MlhFCMVNeXh6KS079+tEvd36U\nv2H72una0TQNQ92tDUPdbS8d+uKD30+chnz/j6/7+wt//s8l6UXrvr3QCtYESQKLwwUOl5818fjj\n999xFACuufq6Gx9Mziz4HkWF5L+868cP3PfYrz/PKFo3ZV8ep8Pb2Xg4lFa4dsYRXAaLBUnpuf6W\nQ1/eHxgbzHz+qScaFhT8JFdfdyOHJxSvmXycyWJDSu6qOf/N1yQaWX2tDXR2yeZpq2I7bWOekYFu\nq0wVL5Wp46cciW4/Wt3n97hCq8660HD8kBgA1E01FT2T2wZ8XmitrRzl8cXu/HXbkptqKrpVCXr9\nXGOur9k3ZgUeTfvcDhIgxI7T60SZ+pOmP5MMBsiMueoBc7+9oafPLdXnabnTrFWeD7FGxxARVaM+\nmn+iMFxpnHt0y2VfTxr/niOWPf6t736v459/++vuRV8QIYQQQlGHyTJCKKZ++8wT9rsefPz71bve\nu7t464XXTZXwmvs6B3b9+401b77xmneKLuDw7g+vspoHq9hcXlgkU+qV8YmXyDW6ea8RlSjUqY/9\n9rVfDHa1vPXis081jh9/49WX+wDgVwAA199ww3aCBFs4FAIG89Q/oS2H9u1U65ITSJKcsZo2QRBg\nzF21wzoy9MpoV8MN8411OmmFpddrEgzpkehLJFfzaJo+ZQSYpijoa2+02UZMtvwN2/VttQfN/R1N\no8mZ+XFO66hrzDTgkirjmPGGdF0o6PfllG5Nm9wHXyCmQ6HQiVFgAICWI5WdmcXrjSw2RwkAoM8s\n0NVX7urOXbtNP1uswYAfxlw+myQr3wgAitna69aet6CZCDPR8PzeEc9X34+6yZPWfSszV2t8Y+Z4\ngL9G+tIIIYQQigJMlhFCMffUw/d2XHvjj27m8oUifVbBRUKJ/MQoZTgUhM6Gw7+cLlEGAHjj1Zf9\nAPDs+PcPPfP7tzJXbyiXq7Xzmj4slMq5q7dd/EuXfcPdqXklb9Uf+Pym1/7womtim1Aw+GXIaSvp\naa7NT8rIMzJZX81sHh3qGzb3dVUHg4HPwqHQc1Ml0+Nso8Oj/e2Nr/u9ns9//cwzpvnEOROVLvkC\nIkJ7RCekZMis5iGHQCw9aZqy1TxkCYUCkL9hux4AIK2gRA0AYO7vDmgSjQqdMVNhHTEFO+trXEwm\ne8qR6cT0XH1HXVWHPD4h3ut2gnV40JyaX5LIYn+Vm/NFEpY+q0jdXlfVn5q/ZsZq0tUH97eLM1en\nLvY5L0ZBnkHQcWDM6wUBDwAgTnrykDXJYIJAnbAZAOZd2A4hhBBCSw+rYSOEloXXXn4pcPs13/x2\nw4EvfhkKBk4c9zgdHp/XVT2fvh6646aKjrqqm8fMg/NOQgmCAJFUwc9es+mKlNxVt05+/I033vCE\nQ4F/7vvgX6Ud9TUnTSUOBfyBXz/+4MMpeavSp0uUw6Eg9LTUNbQe3v/47dd88+cP3XHzR/ONcTo/\nuev+HJU2eVuk+uMJxdDbetQ3MtBjHj/mcTkDtjGz35hdfMrorTpBzx6/eSBTxbHSi9YKU/PXqKbq\nmyRJSCssTaHCIa9MGcfOW7dNzxMIT5kPLZTI+OpEvbR27yc9AAAW00DA7/1q+LbpyEHL7uqa0ZBQ\noSCI2L6lUSE/qWS6R1O4Ix0ZPFNXSqZRObkNg8s3THUuQgghhJYfHFlGCC0rVvPQf/vbG7+enFlQ\nShAEiGQKvj6z4A4A+O58+rnvx9e9ffu9D9cYsgufTM1f8y3GPNalUhQFn/7j5XdlqvjGqR5/+qkn\nOwAAcku3ljttYzfwhWKx22G1hkLBobKyMp4iPrFs8jk0RUFPS90Bq3noP9W73ntytu2fFsLrdpgD\nfp+fL5LMpbjzrEiShOKzLlI3Hvi8z+ty2hPTcySd9dWm3LVnJc1+9tyotMmzTpkWy1TC9OJ1zD0f\n/6eLjE8Th3oHQhyfw5udW6gzu/1WcUp+TEeUx6WVbFKklcw8BZwAYsYK6QghhBBaPhixDgAhhCba\nv/cLS0Kc+m2301asNWSkAAAEfF6xiEW/XHvk8NR780zfl13ICL8VCPh7PC6HWhmfmDiX86hwCKzm\noXfv/8n1v5up3Wf/e+fTzMwMscMy7BoZ7LH3tzWGbSOmP+kMGd+SKjVx4dCxcAmShPr9u/7UcHD3\npb964K49jY1T5uCLVlN1wHNR2fe/L5Iq1JHqk8ligUimEve01FlHh3rH9Jn5Wg5PsOTvHSw2h2ka\nHhrjJWbouBKlkKnQSfsGBhxcdaKGwWStmFlSQa8rrGF4f9fY2BjxmyUIIYSW1ENX3HxX1C/y5xef\nBgB4OOoXQlPCkWWE0LLz0gu/Hrvh5p/8Km/d2edweHzgCUTxfJEkCQBa5ttXeXk5XV5e/sZP737g\nPbFctTs+OTV7tnNoGoDN4c4p4fzlnbfeCwBw+70P5Ulkip+lpWek1VZ8cnF/e+OFPo+LFMtVwBdJ\nhb2tR//4hxeenVeyP19lZWUEQZLCSPfLYLJAJFGIMlatj3jfc+WyjXkDDI544t5XwrgkWaziWSiB\nOiFFnb/hSigv/79Yx4IQQgihmWGyjBBalsRyVcbYcP9IvD5dJZar2Llrz/oxvPDszQvt77lf/XL0\nucz8fXNJlo+NpiqnXGs7nWcff+goAFw14dDL8wxx0fLWn32tIi4hOZJ9Oiwjjra6A/aiLRfMaVQ+\nWmyWYQ8/KWNeP5PliGQwQZW5+uGbHny6/vcP3zmvtfgIIYQQWlorZuoaQujM8swj97/U195YMf69\nRKH+2vevvGpRI5vm/u63ggH/7A0BYMw8eGAx11pq9z/x3ObsNZt/NbGadCQ0H9rnXHXWRYkL3cM6\nUjwej40kT4/7uzxFXJJEn/3KFTfcvPgNnhFCCCEUNZgsI4SWLZJg7Gs9XPmO3+sJydTauITUrLMX\n019b7YFPd7/z5iU9LXW7Zmsb9PsDs7VZLh7/3es3Fm4+912xXDVrsaz5yi7ZrKit+KQn4PdFuut5\ncTrsMb1+pHEkikJZSv6Ma+IRQgghFFuYLCOElq17b73m10M9bR9T4VCIzeEydMbMTYvpr7y8nHrq\n4Xvf66w/9MJQd9uhmdqGw8H8srKyZV8E8ZobfvRcTsmW58UypSQa/Qslcm7u2m3JtXs/GYtG/3Ph\n93rC3mD4tBhW9jlt9MFPP+z+YG/zWF2/52tn3fjYk2VlZUSs40IIIYTQqTBZRggta46x0cN+n4cC\nAOAKhOmR6POJX9z539Yjldf3tBzdS1PUlG2yVm/6GpcvjPhIbaRpDennc/nCyM69nsQ+OuxJLVgj\nj+Y1ZjLU0+bgpRdHdC12rIT8XrrbL49z87XyEXGOxqwovqs/btv/zrn23tJYx4YQQgihk2GyjBBa\n1oQSqcBls3Yd+1q+5oabf7ItEv0+du/thyo/Kt9+eM9HP+tqPPy202o5aZ5vxft///LPf3rDHIlr\nRcutd9yTVLj5PC0R4fXEg53NA03VFZ2tRypb+zuaBrqba60yVXxErzEffT1d7pW+XpmiKLAPdocP\n7T844OOpuCceIBjgEKecz/OaPznnmnu+E8MQEUIIobnaAABXxDqIpbCyP30ghE57yZkFDyWkZuUA\nACjiEuK2XHrFawmpWXc8cNsP31ps36+9/FIA4KVnAeDZex99Zk1CWvbzhqyidd1NR6q4PMHViw4+\nisrKysi0gpLHxTJlxLdzctrGAiw2m5WaX2IEAEhIyYr0JeZFJJGGVv6mxBQ0VlaM9YhKpq4qThCf\nfPr6E39f4qAQQgihhdgHAHGxDmIp4MgyQmhZGxnsqZn4PU8okgd83sGZzrn+hhs4N998C28+13n8\n/juqPv/3G5s++suL36r+/P1tzz7+UP9C4l0q6y/45m/TC9d9Lxp9p+StNvg9nqjuCT0fOcXrkv2N\n+3psrTW2WMeycCQEOTI3Pc0IuUWWP7LEASGEEDp9zFRjpRgAHgGAXwMAf5bj9wPAgwAwWx2UKwBg\n4ucsNgDcdfzrjce/fgUAZJPO2woAXwOAdQCQMOmxqa4713bbASAqy5lwZBkhtKz5Pe63TT3tF8Ul\np6YBADiso8OP3nPb/pnOocJhxot//J1nvtcqLy8PA8C/Fhjqkrnn0ae3GXNXXU0yIl9/LODzQt2X\nO4eKt15giHjnC8Ric4i12y5I9nlcgZpD1b381KKkWMc0X5bOJt8AEa+d7nEvR3Hx+T/46QMf/um5\n0aWMCyGE0PJSe3Af1B7cN5emuQCwDQC4APDf48fOB4DxyVifAkAjAHwbAO6GY1Onz5nQdvLxjwDA\nCwBCADACwKUA8DQA3AEAjuPXOwgAq+FYkt0zIZaLAeCz419XHP93HwBIAcB6vP/1AKAAgJ0AkA4A\nnuPnsQCgHQDSAOC7xx/rBIDPJ7QzwLFE2zyhnRQA3MfP/QAAfgUAEd/2E0eWEULL2qP33FbRWLWn\nrL+9sZmmaWAwWLwrr752xlHj1157bd6J8kpRVlbGHjMN/F/A74vKHr22UZMrf/3Z8bHeV3kqTBaH\nHfZ7VlTlaIqioGnPJ8PtHf2DDCoQYAbdwana+bnKBDdf+5dLv3NV8veuvi5tqeNECCG0PBSUbIAr\nb7nrxL9prIJjCesAALwAAC3Hj09ctTR5BdN075/jxy+AYwkzAQAPA8CTAOA63s+bALAXAKoB4K8A\nkD+pj2QAGJrw/XcBoOv4P4BjSfFjAPC/SefVwLFkWQkAbQDwNwCwAcCfAaB+QrtL4djzfXlCu50T\nzoXjX0fc8vs0hBBCk/zqgZ/XHtr94fbP/vHHe9qOVLbKNdp//vTuB3JjHVcslJeXB9Zf+K2gRK6K\nyswgFofH8rpd0eh6Ufw+L1W1b2e3IGvd1Gt+l6mOg3ssexvtwv5Rb5jv7HHSAw2jrIDdMbkdx2/x\ncv1jyQImpeOI5b/B7aQQQgjNoAYALgOAIwBwLQDkwLGE+fkJ/5qOt/0HADwEX43+boRjo8STj+cB\nQAMcS45/AscS5vFENAgA1IT/J+eQhwEg+/jX34Rj07SVADA+E+x9APgRAJw96Tw5HBvNzjwe/w/h\n2Ijx5ET/HQD4BQBcN6Gd8fi5GXBstrRzqhdqsfDNGCG0ohxPIpjl5eVTjtCdCV59Z9dnSRl5k99w\nIsJlt9Iuu5WKSzIuqz2mLaYBe4vVzePJNOxYxzJXXruV/vBf/xmtD6WqAADY4IMAcCGD29/P4nAD\nDCbBZvvGGAFBHJvjHXlf7GwTK/UZtsSScy5wDfd+bOtueslrMXX+9Y1XlnVVdoQQOkPRnzRGv9zE\njmwVwNLkbFsAYPcizr8Sjo1Ax8IWODaK3RvpjjFZRgihFebZ1//1fu7asy6MRt8+j5uqr9w1xBOK\nfRwuj52aP0315hiortzbxtDnx2SKckPFZ90BtigYDgaFNIvHiGf5eHJDBpcvVZ4y7csxMuSv37d3\nzOQgvfVutXG2t1omBCAMTBCAO7BFOVCXte2iIr4inhHy+yDkc3nsPS1v9O17/9by8vKVXxQcIYRO\nH6dbsoymgAW+EEJohXHbreqqne/2S+RqX8DvI9UJ+jh1gp5PURSEggFgc7izdzINLl9Art52sQ4A\nYGSg29R4cE9XetFaA5MV+wFdqUhERGWO1RyEOSJfUJWZCQAAFAVDbbud0gRjEABYFEUBUBT4XLbg\nSHerxWkZZR0eYvFpIBlz+XwTgmOvbSJj+JAmMSmBI1YwAACYHC4wOVw+O1tyM8lkia/SJN3+f7/7\nNRYAQwghhJYIJssIIbSC3PPIU2cXbNpRzGAwGazjSXF73cFmdYI+s7e13m4fNblJkslJKyyRc/nC\nRd2JVun0cQ6rZcDtsFMShSrmNS60yUbd0SPVHUx9XgrJXLrk3Ws1h2m/96sLkiTQcVm03+Wg+ppr\nB9xcVZhisEXA4jJBmhNHhHtNhcb+kNftpb4cpmFywqyEEWoUVKQROhqdIBCNgCZRR5oObT9vk16W\nlHrKvpUkkwWq7JIrBKqELXdkrvq3rbvpnyyeII4Kh/1jbUc+wRFnhBBCKDowWUYIoRWExeYmc/nC\nk9YTyzUJ6r62hkEGk0UXbNyho2kajlR80lOw4ZzkxVS1Hu7rtIcCfulySJQBAPhCMW/N+q0pRyp3\nd1L6QuNSVOymKAoaj9abwroC40kPSOLE3YMNfTQh4FCqVN3Eh2hFUhxLkQQDX+5uBiDiJ/fpBw5k\nQlPIAnI+C4LCXDjaphUzdbKkVM1MsfBV2iS+Snu7LCXvNpLBJGgqTDM4vMfKAB4sLy+nIvKEEUII\nIXQCJssIIbSCsLk8weRjco1WLtd8tYUvQRBgzC7SWs2DoIhLWPC1NIlGSX97Ux8AnHLNWCFJEvJX\nbzDWVO7uYhgKDYwoTw+nwyGguFIeME59uwxrc6Zdz037XDQ7YBcCyE46LgbrmBgc9gAw/Q4QJ/mB\nxx+EBFmHzeOS11QNpa9ac0pyPRmTwzs+VM0iEkp33Ccz5lx+38XX+Wg6HHD2d7xoOrLnLwAAOOKM\nEEIILc6yGC1ACCE0u6uvu0ES8Hm/N5e2YrmKNdTT3rPYa4oVKu9i+4g0JpsNJRvPNsicA93eoa6o\nruFlsNjAtLSHgJ573kn7vdC4u2Kozpt8yp0KKdjt/ZBkCAGL8AOPP37cCzxha2P7vCu8M9hcQqxL\nyRInpBRJEtNL1fkb/k+eVjAUV7Sl8cZ7Hrlovv0hhBBC6CuYLCOE0AoRb0jfklG8ftVc2hIEARwu\nP7TYa4YDgWVZgZMgSUjJLtTzQ25LNK9ja6mxEUKlB4i5vwwEiwVuisOdqriXANxMAAAagDfx+Cph\nX9+537gk6ZQT5iHo84TH2utM+q3f0CSsPS9TlpL/yM2PPLduMX0ihBBCZzKcho0QQiuESqdfr9Il\nz/nvdkJqlq6jvqbT53axWBwuN72wVDXfawaC/tiXwZ6BMTVDa+pv7xzxhgX8pIwZ1/zOlbe7vo/y\nuelgOMzJSEkFjVQs6Btp7bC6PIRdk28EYub7zGFLf5AAijf5eC7UDVhBTvDBHbSD5KTEuN6lUmgP\nVvUWbdm64ITZ3tvSFVewMXX8B906PgAAIABJREFUe5kxp9Bvt9xwy6PPbyWZbPsLd//o9wvtGyGE\nEDoTYbKMEELL3A+uuZ5btOW85/WZBd+dz3k8gYibkrvKCADgdtq99Qe+6NBn5BuEUvmcZxWJZcpl\nve5VLFOKxDKlaHTPZ92R6pMOeOiNW3ck0TQNBEGAFgCyAVQDfT3Oil0fWRyaPD8w2AxKpJ4yOWeo\n9Kz8AspVUzvocYBYMX7cAgrHEOiyAGhIg9YxB8jk44/5gcff2eiKEzM/derySwRckWTeM7+oYPCU\nczSFG68CICDgsjl++syruufuuO6++faLEEIInalwGjZCCC1zTDabKVdrz+OLJMKF9iEQSXg5JVtS\nbBbzYGPV7l6KmlvxZAaDyaXCi57NHXUqhWLe633HBVwOytHw5WDA4zh2IHisK2LS1GtdYrLovIsv\nl36zJF2T5O1iMLoOjJ3SGU0DeJ0BJoshCABTDAAgBIevAA4PK8Ei10F/GICAXkgSxcGQab2wfWBz\nvLPVwLF08cDnf7suzBvt63J6rSNW50DncNDnpY51S0HI7wWanv7nRpCnDnkTBHlsSr5IJlZmrb77\n6lvv2LDQ1wkhhBA60+DIMkIILXOv/eFFlz6z4Al1guElksGY/YRpEAQBCSmZCd44Xaipeq8pKS1X\nI5IpTllYS9M0jJkGvCODPYNel5PldTtbAQhuemHpotbURhMxn0XFk4SHWvs2bd2RXLX3sx4qdXVy\nQmISZ7q2ErmSAQBw9gWXKcs/+KTDASCf+Dg52jks8w6F+9wkiwBCxAOPWwY2Wz3k6cPAAAaEAQAg\nAByWURIM33T9tVqBSEQAAIwM9dN93d1umqAcQsrFMORkatub68yjTq/d7XKweSpdfMBltwJNOxTp\nRWlBr4v220dHAi6bXaRLTQYgAjM9TxZPSCasu+CPd2Su+t9Y65EP3CMD/n/+7S/7F/q6IYQQQqe7\nZVm4BSGE0Mmuv+lWlkKTcHnxWRc+K1VqZt1eaDbm/i4Xg8XmKTS6k7LvcCgEdft39qTkFCcJJTKC\nPL5lktthczXX7LPllG5JYLK50HDg8/5wMEjTFEXkrT87we/1UDRNUWK5KiY3YdvqD7e5lMa0icd8\nY8M+30i/V5qxSjbdeeFgAAItlb3rt1+cRIXD0HLkQL8hK1/L5QtnnXllNg16P606OugSxKs5LtMo\n5XXyg8lrNEmO5q7Bzk5+lYnDOL9Q7Wjv7mdVWHXHt5miwUD02i4s1Yc12gQyt6Bg2tgmOrhvVy/o\nsnUkg8EgGCRYmg+ZuHK1UqBOYJIkEyztdaMEQQTlKXlz+t3wjg2D6cgeC1sofcc52Hn3Gy88HdVC\naQghdBqiP2kcifpFdmSrADBnixl84RFCaAV54sU37inecsHjBLm4VTThUBDqKz/vLti4Qw8AMDLY\n6xBK5Pzm6r2DeRvOSWIyT815aZqG6l3vDfBFEjKzeH08g8kCn8cVspj6bcGAn/a7XbaMVRvSTjlx\nCQx0toyYuGoVSZJAURS4uxstqVqNjyQZxNDwkNNNkQpBcpZy4jkUFQJGb31nQckm40Jfz9amhrG9\nDe0BNe1g8WVqb7+bDup4NLO0dF1Cc0O9bc36jbI3//pWZ333GNsS4MhLdDCytjBFWVCyYV57V1MU\nBTWVe3rCXreIMBQK2XzhgguvUeEQdH7yt1DSxksItkjKGGmqev2Zm79z7UL7QwihMxQmy2cAfOER\nQmgFufaHNws3XPitLxJSsua0hdRM3A6bp7f16JBMrRW7HGNM67DJveqsCxPIGRJHmqLAOjrskqvj\nT1k/7XbYPZ31VWZtSpZaodHxpzo/Gkx9Xc6W2gNOjkzjE/L4ASGfL9LqU3Vs7lcFqX0eN3W0Zn83\npcsyAAAE+psHdWpVSJ+Wk7yYqe2T7d+7a3RwdMxz+WXfODFl3e/zgtvpoPq6u9wFa9aK5ttnKBiA\nyi8+MnGFEj8JNNfJFIA4MX3Blb/p4+vVx28QBFx212hz9X3P33XjCwvtEyGEzkCYLJ8B8IVHCKEV\n5uFf//7snNKz/i6WK+e9FdRkfq8n3FD5+WDxWRcmRiI2AIDupiM9AZ9XmF60TtHdVOvSZxUsuDDZ\nVLoaDpkDfp8DAIBgMCgWi00mpuWkMhhMmGmEmKZpaK+vHhRK5Ny4BIN8saPz45oP7TNTobCLZDAI\n65hFSIoUwdK1G7QR6RwAdn70bq8sf2MSQUYuqZ/M77R5R5uqbnvh7h+9HLWLIITQ6QWT5TMAFvhC\nCKEV5sGf3bTzsRdevS1v/fbXuXzBovZB5vD4DJFcFdFy1/qswmSnzeJpOLi7Y6CjSZmUkQczjVbP\nR23Fpz1xySlcQ6IxdfbWJyMIAtLy1kQsiQUA6G096k7OKFDwBEJ1JPudiClV0dFMlAEAWHwhDwCW\nbDYAQgghtBLg1lEIIbQC3ffj6/7aXnfwVZpe/DbI8fo0dePB3Z1Vn/03YrfIRVIFP3vN5pTCzedT\nzTUVXZHYfqqn5eiwIatQrkk0LngKciRR4RAMdrb6fS6HP1rXsI6Y/EyBmBut/k+gafCOmRqjfh2E\nEEJoBcFkGSGEVqiGA5/fdnjPhzWL7Ucglgri9ekaNpfniURc4wiCALUuWZZRtM5Qu29nj8/jgtGh\nvvBC+wv4PHaxQjXvNb/RUvflzsE12y+RyzTaqI3I2q2jgZB91OXuqG31O23u8eOR3vuaZLJAlVVy\nz/U/fyi5rKwMPxsghBBCgMkyQgitWK+9/FLAPmq+ymIa6F5oH6FgEA598b8+IIBTsHFHcgTDO4HB\nZEHBhu3JA50tw1Q4HOxqOOye/axTBQN+VqRjW4w4fbpoZKAnalsuhUMhMPe0u7Zs3JKyccPmdKnf\n4nCPDFgcvS39RE+d2dlR1+oe7huJxOwCAABJcsYW3ZodR3SlO166+id3RXfeN0IIIbQC4JplhBBa\nwZ74xZ31j//u9SckCtXLTNb8ly+PDfc7jbmrEmWqRW/dPCOSwYCU3FUaAIAel6O/4cBuUyjoZzOY\nbDJ37VbdXPpITMtN6mw4PGTMKYpusHM0ZuqzZ67amBCt/hlMJggk0sD495m5xfFj5sGwQKRXcHh8\nAAC1y26lGxtqO70MHkugNSQyFvA7MBFPrpZypYob6HC4CQCeW9wzQAghhFY2HFlGCKEV7vDuD18x\n9bQ3hYKBE9sCzZXDMjIc7UR5suTM/ISc0i0pBRt3JHIFAspptdCthysHBzqbLZ2Nhyw+76mzwUOB\nAPS3NfQLJbJlUxHU63IsunBZb2t9T39Hk7m3tb67tuLTnsmjxGw276T10HK1lnE8UQYAAKFERpSs\n32LctGZ1otDaM2I78kUfTU/9O+B32gJ+l80XcDv9QZ9n2unwBMkAodZwzRU33LysRvIRQgihpYYj\nywghtMKVl5fTq7Zd9KfB7ra7s9dskjZXV7iLt14o8HlcwGCyYGJyNREVDkMoFIzotk7zZcgqSuxp\nqR0y5hRrnXbLmEiqZAy0N/ZRVNjPYLJ4bA5PKo/T8dtrD/bkrtumj1RV7cUI+H3QXFUxqtQmLeq1\nGxnsHZWp4hMEYgmDZDBBqooDu8Xskyo1Jwp6MVnsOSWsJElCZv5qlSEtGw7UNw6IEtN0njGT228x\n2WRphTq3qWdA4LMRwYCPyePyWA6hmsvi8nnT9SfSGvLECanfBoA/L+Y5IoQQQitZ7D91IIQQWrSa\nXe8/Ew4Fa75460+dBEn2jw71BT/716shFmfqQso0TUPDwd2DqXlr4pY41JMwmEww5qyKZ7LZIFPF\ny8VypSQlb3ViWkFpqjGnWGce6LaauttM+Ru2L4tEGQCguabCkl26WZmUniddaB8+j4sa7u1wiWQK\nBsk4dt9aLFOCfXTYOd7G47QHQ+HgvPbS5vD4IGOESEfboTY17fEnKiRsb/fR5mQJT1i0drO2ZPMO\ndV7JJlnIMWaaqR+CIIGvjC8rKytbNiP5CCGE0FLDkWWEEDoNlJeXh/XZhTfxxZJXzf3dCWPmQe9F\nV98mni7B7GtrMBuyi+KY7MWtcY22wk3nJjQf2tfvtFocIplCHOt4Du/5uEeXkiFiMFlAEAvPIwN+\nX1CVoD/lRgWDxRbVVnzak5yZpx4bHhxKyy8xzrfvvOK1J82rTwM4JeHmUQGCCgWBZE4/cC1OSLtA\nnJi+BQC+mG8MCCGE0OlgedymRwghtGhPP3xfqy4l62BG8Xrp1kuvnDZR9rpdAadt1CuUyJb9ewBJ\nkpC9elNCX1uDxWUb88Y6HqFE5lXr9PLFJMoAAGKZkmMbGTJPPp6Qksk15hQn97Y22CiKitr+yqvX\nbtIHu2p7fHaLbbo2bKGEocgoujFaMSCEEELL3bL/oIQQQmjubCNDTYbsItl0068BAAY7m0f1mYWJ\nSxjWomWXbDaY+joHYx2H3+uOWAIrEMum3J5JJFNA/vqz41PzVmsjda3JSJKEtZvOTg72NDh9Duu0\nNyFIBnN5Tz1ACCGEogiTZYQQOo10N9Xu9nlcM7bRGjO0Y8ODwSUKKSJaDu93aPVpUdumaS5CgQCw\n2BxOpPrj8gRMy1DfqaW/l4jDaglTTFYQaGraYXK2SJZ33R2/MCxlXAghhNBygckyQgidRnTGzDXs\nGUaVAQAspv5hXUpmxJK+pRAKBMJcvjCmMTfV7B2N06cpI9WfUpukcVhHxkLBwOyNo+BIfV2nOGut\nkStRTPsLw5PHpZFM9prvXnVt1KaEI4QQQssVFvhCCKHTCE1TJEHMfB9ULFOJTT3tVq0hXbZEYS0a\nly9ge1yOoFAiW/K9f2srPukWyZRhQ3ZxfKSvn5xZmNBWe2Aoo2jdkm52TYVDAFyhYLa11ySDAfLU\nvKdJJisMAG8tTXQIIbQyGBSCWIeAogxHlhFC6DTSXLPvH33tjXtmaiOWK3kWU9/wXPoLh4Lg98Zs\npvAJ8jgdK+DzxCQQmqbZSel5KUKJbOoNqxeBJEkgSYY90v3OJhQKAcHizOlTHksgCfkdli+iHBJC\nCCG07GCyjBBCp5Hy8vLwcG/Hn8Kh6Zck+70eGOxsDdA0PWt/h3Z/GJ7L/sYdR6upufS3UD6PhwwG\n/Es6DdvrdkJd5W7nmN3BrKrY2R+t67C5vCUvosXmcIEK+KathD2RUJNoVGWXvHPljbdE/GYBQggh\ntJxhsowQQqeZ2opP3mg9UvmP6ZLXjvpqCgBMAx1Nlun6cNmt0Nta75GrtfRMlbXH9Xc0eXa/86Zv\nwUFPo77y896RgR6vfdRkDQb8I7UVn/R01h8aaTm8v639aHVPc82+tuH+LmckrlVXVTF65ODeQfNg\nX5CiKNj/5Z7uYEKOSLrqHLWXLWR++vH7vY21VRGvyO11OWLyXkwEA3NeLC1LydvElamvKSsrw+rY\nCCGEzhiYLCOE0GmmvLycbj1cef1Qd9v/s3ffcXaVdf7AP6fd3tvc6b2lJ6QAIUAAaYqKMqsrYsPd\n1UWxrO7qrmvHuiqKgohd+a0alFWRTqSmkN4zvd+5vffTfn9MJpnJ3GlJJkHzfb9eeZl7z3Oe85yL\nr9fJ93yf5/keKHX8yM4XkMuktofHhn850nusZMDUe3h38cBLT+VG+44r87nmpjfebrI43GNnM+5X\nXnlp+PDeV5MAkE0lcHzvtqHq5qVmqVgIWxweqaqxvbqysd3irWuytq6+rLlp+dratks2NmeTiejY\nQE9+34tPhBVZQv+RvZmFXjudiKnRdCap1qyo6EvL6ku7d/utSy6tY3kBDMPA3rjc61q5qcY3PKRI\nknQ2tzmN0eoQDu3YOq3m8mIzcvOv48xyPGo2vel/mm5618G7v/bAnYs5LkIIIeS1goJlQgj5O/SD\n73wjPXj84GcLucyUyC4WGkM8NMZmktGvBof7B8uqGzQAoChTY+Ly2qYUwPyurn3VnHOrc5kUfH3H\nk517X3FJ4sIrUknFIv7y5JN9R+Iwi/lM5Njul3sGjh0YaFm5ocbq9NjL61uqK+qbywHAVV5tN5gs\nU7Kbde0ra3meL9a0rlD6jx3o99Q0ag7veH50PtcO+oZzr257oXdf37Df0rquAQC0FrvGUtPqZbnp\ne2Ca29a79+98seRLgUI+h0wyvuC56NVN7ZWCRptc6HlnK68wC1oDLuiNWltde6tn+eX3ferH//f7\nD372Gzd0dHTMvkMYIYQQ8jeMdsMmhJC/U5/7tw/+6f7f/OX3TSvWv23iu13P/kmsbV3+oaOHjqqi\nOvIJqMCffvfIoIaTDTe+9W3uiXZOb7XT5vZen4qFHwdw62zX+d33Pp9vXL62720f+eIqluPmPT5F\nUfDCX58Z7c7p9KqjraEy1dWz+vLrmxZ6nwzDwF1VZwFgcZZVAgDql652Hd31Yv+SdVfOWCN4sLcz\nPhAIRS0Nqxrnu8W1YDRrZTAlU8sH9+wYzmQzCqfVF00C61x92WbHfO8hFQ3r59v2XIiF/aKsNZpP\n/15VVeQiY3E1EQoWMkmtY8Wm2tPbCHqj3t6w7C2Z4GhWY7LuBzCvzeIIIYSQvzUULBNCyN+xwc5D\n95RVN95otjutw91Hxev/8V+EbU9s2awAzz91WPXu/OiXR0xaVfPfn/u4c/J5+WwqJRbzj8XD/iWl\n+lUUBUdffeGJdCK6vXnVpdesvOL6Dd1H9mVbV6wtuQmUoih44s9/GNuw4dLybCYtpVKpbNdIMBS0\ntjTAqGWQiSaXN9eVnav7NpqtWrPVIUiSBJ4/9agr5HM4vH/XUE5GnvfUVlkaljcspN9cLJBtb2yp\n2L718UCe02aXtbZW8iyv6Tx2cLRgsHOm6qXVnEaLfP/BTgDzDpa9dc2azr3burVGk7uudYVtIWM6\nE2KxqMjhESmZS/VIkqTR2j3aXHBY5IoZvql1mbFm2ZUto4N9maFkLKOz2Evums0wzAsP/+zHFCgT\nQgj5u0XBMiGE/B37+uc+deib5dWftjo9V3bt2/FCPDRWGwv6vssAX82IAp9JoKrFI4+arLYpy3K6\n9u3wjQ30fEqrNwRUVcXp9Xh3PfN/L/Qd2Xvr2mvfuKt55frlTz31+NAAX+k69Oe/9Bk1HNtcV21v\nal1qnWh/9OCeyIhtmXfkaFQGwEDrsMBVZgEAiHmlTYjHaxtW1ZzLe69sbK/q3LdttH3tpkoAOLx/\n10hUZFhT7fIa4xy1qGdSTEQTx0JD+aLGxFgbV9QfHjjm05jtNl3TJZXaSdO2i7LCB0YH82WVtfNa\nF1zdtMQNwJ1OxnJHd780Ul7dVMVrNLLZ7px/qn4BPBU1Wk9FTQ0ApOJRNTg6lG183c1TguLK2gZj\n784dvTqLvbFUHzq7ewOAHy/G+AghhJDXAlprRAghF5GOjg4mXeTq/RntHcfCps8DAM8q+MgdG0JX\n3fD6k9Owdz37x9/2H9r5XyorbE5GQw/d+bnvY6KEVDIaUp56+IFHH3rgvtv++2v33poXLJ/q58rq\nVIvXM3G+M9bZedtNr2sFgN2vbvftTfAa1VzmmjYgWURFsrP/lptunnG69NkI+4dT/Uf2J0Qw4OpW\nOTVG83mb7pxPhFOpwWOpdWvWOeyusnlvppWMhjJSscANHD8YXHH5dTW85sJtQP3SX5/qKwoGxuCu\ndOisTuvkY2I2lQ0cfOVf7/vPD/3iQo2PEEIuILU7sKCtH85Ic5kBoJjtgqENvggh5CLiS2mv3zlq\n6+yMGD8/8Z2iMhgZ8p0s+6QqCgxmazIRj/f95MH7f7zm6tf/ZXKt5aO7XoxnUvE7AeBLn/roo33x\nwp8mB8oAEIPJ/uhTz3Y+/vRTvYeHAkrJQBmANtg59Prrr1+UQBkAXN5q87prb6mqqKpleb3xvK4L\n1lldZveKTRWH+ofD27Y+Pq8NxwDA4nAbHd4qnaOs4oKWacqkEgWFYfWOphX1qdHeaWXGBIPZULby\nigc+9q2ffvUd737fef1tCSGEkPOBpmETQshFoqOjg2lprWtl9gw8tXvM+vqJ769aZu7/h3e962TA\nOtR1+KXDO7Z+aMuWLSoAhEYHdnbu3VaUJalabzKbBI3uwf/3618lAOCuD31IE0gGXlGDvWPwNJZP\n9KHYKz1BYDyAtpQYjKpCP7DDd+nqpeZSu06faxV1zeVSz9GRSCxW1DStXdA65bNlrm6uCh9Ppve+\n/Gx8zRXXzXs9ck3Lcm/f4T29OpPFWdXYtujrmE+nyJLA2cZfgvAGizPSfaBfa7G7BIOZ15rtegAQ\n9CZ92apNn2I47tZPX/2WgXw8vC0xeOzen9779fO+uzchhBByrlGwTAghF4lL1q6/7sD+vd8KZPT3\nATgZLHMafVHQagGM74Yc8g3+7icPPnCy/vK3v/L5L83UpyzJeuQjXZAKGYT68rCW66CZR5JRLmJ5\nU7W+pW2Z/Wzuab40Wh3TtHRNldU3mO7LJqExlIrgF4+r7RJTsmtPD4B5B70sx6Fp5frGiH8keWj7\nc/3NKzbU64ymRRzlVEazjRXj+6Pw1jjsdW1WRVGsUjaNaO+hsM7mzEJFUlVkVmt1uhiWE2y1bTeg\nFjcYXBW3fejLlV8LHHjpfydeuBBCCCF/iyhYJoSQi0SxWEgtX7lK7Yr3N2NS3q9QyJ+cYz3Sc3R7\n/5F9P5tvnz/84QMJAInb3v/hD0JneUA1u+dX+kksqs4yW8ldlheTTm9kC0PdcU3dkvOeqTUK3Hwr\nVE3h9FZZHGWVliM7nu9fdtnmRZuyPlkiGkoePXIwamlZVTfxHcuy0Jgs8K7c6JLFIjhB4wSAxEh3\nwdGy6mS23lLZsNzorviVxmT7z3+qX7o13n/ko1u2bFFKXIYQQgh5TaM1y4QQcpE4dPDAq2+45U3B\nhkr7yWyulpOLG9YutQBAMhoOBYb6vvXQA/dlFto3k/A/r3rbhqCbVrq3NK2B+eu+oyGxUFjopc6K\n2e4yrF26xOhIDA8rPa8OKsr5i+EyBbFkfeb5YBgGnEY4b1nasYHurKZxTR3Lln6nzgmnllNbq5q1\nvGbq/mWcRseWrbh8acN1b/uwo2X15xdzrIQQQshioWCZEEIuElu2bFFSqWTn2mX1LAMVFq3oU1Tg\nsad2Zge6jqeP7XrxM//54ff9fqH93nHHHWbUrf82ypqvmfdJLId89drKR//vEd/5DFgBwGC2CrWt\ny6qXXbKxJnFke1BRzjiGnTdFEhEd6Sm5ydlc4mF//tC25/ptLu8Znb8QqqJgsOvwcKjIaCZv6rYQ\n+VgomRjqejEx1PVytOfAg4pU/Mk5HiYhhBByXtA0bEIIuYjs37f30d2vPHffxmr+Oa2Gf88Rv2ZL\nX5BZ8eivf/GbJx758Y/OpM8co9Oq7vp3YqGzjBkWMddSy+8fe7xvTXuTs7G5zTr3SeeOVm9grrz6\nOs+una/065rWLOr05mI6UVyyfLXhTM4NDvf7m1dtqNcZzv165XQiWvQN9o4ZjGbB6vS4Oo/sH0bN\n8kZTXfUZ9RcfPP6879Vn3v6LB74bOMdDJYQQQs47yiwTQshF5Pmtzz3w5rfctv/ajauO/uX3vxpp\ntOd+e4k38eMnHvnxnWfS323vu+sKVLR/D0bnma0/NjpMUc+KhmcHc+pLLz0/fEZ9nAVe0MBi0CmK\nVJy78VnQWp0aXyw5vOPlv/Yv5DxFURALBzS8cO6rSA11Hx3a1zekZjwttaOM0bvneKfINV7SyJ3h\ntSLd+32hwzu+QoEyIYSQvxcULBNCyEVky5Ytcj6f/yjPC55/+7dPNHrshkM2naS96U1vX7KQfjo6\nOrS3/eunnlXXdjytNl/5j9Bbzi6aMzltx+Oq9qz6OEPtqzY0in37FhTELhTDMLC1rW9gKloqju7b\nGZzveSzLQqs3sPls5pzMVVdkGaP9XYEje7f3jOQks6m8XgsAGoOFtdYtOeMN1+RiXsmGRu/+8be+\n/My5GCchhBDyWkDBMiGEXGTufO+7X2hqbu632e2311WVOcvLXF80aeTOhfShuhv/Q11967XQmcf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QWcBtAYMxg+cOphqSiQRo9nwbA43JPM7UlUVE6e8pyD3twzFMyfyXi2vfhiWsHCNgcLKE7v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\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lenSGy3UAvCgFLrtpcxh39h4fuxm8Q/gnwUeM52JiLAHeIfyt4EX51Pen/jvBhHt2Zspr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DdtXy/l68W6qgPJXKumBacF5s8kweK78vyQhWhpO5tJ37J9lwWtpLOnhyZqpWyemBhPWlJF1FZT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yNvxrUed7tz3dg/G0veBMHNUi7ivPjU3Ph/Mpc1sNAECZsdFlxnbuaU6ZsekB4MsibXlvZ2fn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\nP6N67yhwezQZjbTY/QX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+ "text": [
+ "<matplotlib.figure.Figure at 0x7f43ad8238d0>"
+ ]
+ }
+ ],
+ "prompt_number": 158
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Finally, write the dataframe to a file so it can be read back later."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "df_map.to_csv('districts_with_accident_densities.csv')"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 144
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "accident_points[0].x"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 162,
+ "text": [
+ "1000872.5205954465"
+ ]
+ }
+ ],
+ "prompt_number": 162
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ }
+ ],
+ "metadata": {}
+ }
+ ]
+}
\ No newline at end of file
projects / tm351-notebooks.git / blobdiff