{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "professional-display",
   "metadata": {},
   "source": [
    "# Testing multiple points of failure\n",
    "\n",
    "This notebook forms the basis of \"Hands-On 7\" in the CCG course.\n",
    "\n",
    "1. Show asset exposure based on flood return period maps, select all exposed assets in an area\n",
    "    - note that if historic flood outlines are available, these could be used to select multiple assets instead\n",
    "2. Demonstrate how the network effects of multiple asset failures would be disproportionately worse if there is no redundancy or potential for substitution. \n",
    "3. Understand the risk of multiple failures across the network - target the combinations of failures of greatest consequence\n",
    "\n",
    "By the end of this tutorial you should be able to:\n",
    "* Assess direct and some indirect impacts of multiple asset failures\n",
    "* Compare flooding within regions as source of multiple failure scenarios\n",
    "* Understand approaches to stress-testing the system under multiple failures"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "rolled-wireless",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Imports from Python standard library\n",
    "import os\n",
    "from math import factorial\n",
    "from pathlib import Path\n",
    "\n",
    "# Imports from other Python packages\n",
    "import contextily as cx\n",
    "import geopandas as gpd\n",
    "import networkx as nx\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "\n",
    "# tqdm lets us show progress bars (and تقدّم means \"progress\" in Arabic)\n",
    "# see https://tqdm.github.io/\n",
    "from tqdm.notebook import tqdm\n",
    "from tqdm.notebook import tqdm"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ordinary-council",
   "metadata": {},
   "source": [
    "Change this to point to your data folder as in the previous tutorial:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "international-saint",
   "metadata": {},
   "outputs": [],
   "source": [
    "dir = Path().resolve().parent.parent\n",
    "data_folder = dir / \"ghana_tutorial\"\n",
    "# data_folder = Path(\"YOUR_PATH/ghana_tutorial\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "53a0c038",
   "metadata": {},
   "outputs": [],
   "source": [
    "# TODO add a note / auto download the geoboundaries dataset\n",
    "# https://data.humdata.org/dataset/geoboundaries-admin-boundaries-for-ghana/resource/e324acb9-fd6b-4f5b-96ee-e2bb11917942"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6ad32f28",
   "metadata": {},
   "source": [
    "## 1. Download administrative boundaries\n",
    "\n",
    "Go to the geoboundatries at: https://www.geoboundaries.org/countryDownloads.html\n",
    "\n",
    "Search for *Ghana* in the **Name** field and download the data set from **Source** Open Street Map. It will show up as a folder in your downloads directory. \n",
    "\n",
    "Put this folder in the data directory of this tutorial. The one you specify in the `data_folder` variable. # TODO add these steps to do this automatically - https://www.geoboundaries.org/api.html#api"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "bc9bf1c8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# https://www.geoboundaries.org/api/current/gbOpen/GHA/ADM1/\n",
    "\n",
    "import requests\n",
    "import json\n",
    "import zipfile\n",
    "\n",
    "url = \"https://www.geoboundaries.org/api/current/gbOpen/GHA/ADM1/\"\n",
    "response = requests.post(url)\n",
    "test = json.loads(response.content)\n",
    "download_url = test[\"staticDownloadLink\"]\n",
    "file_path = data_folder / \"geoBoundaries-GHA-ADM1-all.zip\"\n",
    "\n",
    "if not file_path.exists():\n",
    "    # note: this can take a few minutes for large files\n",
    "    r = requests.get(download_url, stream=True)\n",
    "    with open(file_path, \"wb\") as f:\n",
    "        for chunk in r.iter_content(chunk_size=8192):\n",
    "            if chunk:\n",
    "                f.write(chunk)\n",
    "\n",
    "# extract the zip to the output directory\n",
    "with zipfile.ZipFile(file_path, \"r\") as zip_ref:\n",
    "    zip_ref.extractall(data_folder / \"geoBoundaries-GHA-ADM1-all\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "optimum-clear",
   "metadata": {},
   "source": [
    "## 2. Map exposure"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "middle-mercy",
   "metadata": {},
   "outputs": [],
   "source": [
    "roads = gpd.read_file(data_folder / \"GHA_OSM_roads.gpkg\", layer=\"edges\")\n",
    "road_nodes = gpd.read_file(data_folder / \"GHA_OSM_roads.gpkg\", layer=\"nodes\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "structured-hurricane",
   "metadata": {},
   "outputs": [],
   "source": [
    "regions = gpd.read_file(\n",
    "    os.path.join(\n",
    "        data_folder,\n",
    "        \"geoBoundaries-GHA-ADM1-all\",\n",
    "        \"geoBoundaries-GHA-ADM1.shp\",\n",
    "    )\n",
    ")[[\"shapeName\", \"shapeISO\", \"geometry\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "20abd8e0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>shapeName</th>\n",
       "      <th>shapeISO</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Western North Region</td>\n",
       "      <td>GH-WN</td>\n",
       "      <td>POLYGON ((-2.57218 5.74991, -2.5708 5.71438, -...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Ahafo Region</td>\n",
       "      <td>GH-AF</td>\n",
       "      <td>POLYGON ((-2.42467 6.38815, -2.44938 6.39009, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Bono East Region</td>\n",
       "      <td>GH-BE</td>\n",
       "      <td>POLYGON ((-0.14542 7.9031, -0.14467 7.89674, -...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Savannah Region</td>\n",
       "      <td>GH-SV</td>\n",
       "      <td>POLYGON ((-0.38471 8.15282, -0.41897 8.15287, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>North East Region</td>\n",
       "      <td>GH-NE</td>\n",
       "      <td>POLYGON ((-1.23184 10.01754, -1.27442 10.01619...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              shapeName shapeISO  \\\n",
       "0  Western North Region    GH-WN   \n",
       "1          Ahafo Region    GH-AF   \n",
       "2      Bono East Region    GH-BE   \n",
       "3       Savannah Region    GH-SV   \n",
       "4     North East Region    GH-NE   \n",
       "\n",
       "                                            geometry  \n",
       "0  POLYGON ((-2.57218 5.74991, -2.5708 5.71438, -...  \n",
       "1  POLYGON ((-2.42467 6.38815, -2.44938 6.39009, ...  \n",
       "2  POLYGON ((-0.14542 7.9031, -0.14467 7.89674, -...  \n",
       "3  POLYGON ((-0.38471 8.15282, -0.41897 8.15287, ...  \n",
       "4  POLYGON ((-1.23184 10.01754, -1.27442 10.01619...  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "regions.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "worse-million",
   "metadata": {},
   "outputs": [],
   "source": [
    "roads = gpd.sjoin(roads, regions).drop(columns=\"index_right\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "amateur-hometown",
   "metadata": {},
   "source": [
    "Filter roads by region name to find all roads in Greater Accra:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "alone-diameter",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>osm_id</th>\n",
       "      <th>road_type</th>\n",
       "      <th>name</th>\n",
       "      <th>id</th>\n",
       "      <th>from_id</th>\n",
       "      <th>to_id</th>\n",
       "      <th>length_m</th>\n",
       "      <th>geometry</th>\n",
       "      <th>shapeName</th>\n",
       "      <th>shapeISO</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4790594</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>Airport Road</td>\n",
       "      <td>roade_0</td>\n",
       "      <td>roadn_0</td>\n",
       "      <td>roadn_1</td>\n",
       "      <td>236.526837</td>\n",
       "      <td>LINESTRING (-0.17544 5.6055, -0.17418 5.60555,...</td>\n",
       "      <td>Greater Accra Region</td>\n",
       "      <td>GH-AA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4790599</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>South Liberation Link</td>\n",
       "      <td>roade_1</td>\n",
       "      <td>roadn_2</td>\n",
       "      <td>roadn_10777</td>\n",
       "      <td>18.539418</td>\n",
       "      <td>LINESTRING (-0.17889 5.59979, -0.17872 5.59977)</td>\n",
       "      <td>Greater Accra Region</td>\n",
       "      <td>GH-AA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4790599</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>South Liberation Link</td>\n",
       "      <td>roade_2</td>\n",
       "      <td>roadn_10777</td>\n",
       "      <td>roadn_3</td>\n",
       "      <td>124.758045</td>\n",
       "      <td>LINESTRING (-0.17872 5.59977, -0.17786 5.5996,...</td>\n",
       "      <td>Greater Accra Region</td>\n",
       "      <td>GH-AA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4790600</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>Airport Road</td>\n",
       "      <td>roade_3</td>\n",
       "      <td>roadn_4</td>\n",
       "      <td>roadn_6313</td>\n",
       "      <td>38.030821</td>\n",
       "      <td>LINESTRING (-0.1733 5.6056, -0.17327 5.60556, ...</td>\n",
       "      <td>Greater Accra Region</td>\n",
       "      <td>GH-AA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4790600</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>Airport Road</td>\n",
       "      <td>roade_4</td>\n",
       "      <td>roadn_6313</td>\n",
       "      <td>roadn_6312</td>\n",
       "      <td>19.532483</td>\n",
       "      <td>LINESTRING (-0.173 5.60559, -0.17299 5.60561, ...</td>\n",
       "      <td>Greater Accra Region</td>\n",
       "      <td>GH-AA</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    osm_id road_type                   name       id      from_id  \\\n",
       "0  4790594  tertiary           Airport Road  roade_0      roadn_0   \n",
       "1  4790599  tertiary  South Liberation Link  roade_1      roadn_2   \n",
       "2  4790599  tertiary  South Liberation Link  roade_2  roadn_10777   \n",
       "3  4790600  tertiary           Airport Road  roade_3      roadn_4   \n",
       "4  4790600  tertiary           Airport Road  roade_4   roadn_6313   \n",
       "\n",
       "         to_id    length_m                                           geometry  \\\n",
       "0      roadn_1  236.526837  LINESTRING (-0.17544 5.6055, -0.17418 5.60555,...   \n",
       "1  roadn_10777   18.539418    LINESTRING (-0.17889 5.59979, -0.17872 5.59977)   \n",
       "2      roadn_3  124.758045  LINESTRING (-0.17872 5.59977, -0.17786 5.5996,...   \n",
       "3   roadn_6313   38.030821  LINESTRING (-0.1733 5.6056, -0.17327 5.60556, ...   \n",
       "4   roadn_6312   19.532483  LINESTRING (-0.173 5.60559, -0.17299 5.60561, ...   \n",
       "\n",
       "              shapeName shapeISO  \n",
       "0  Greater Accra Region    GH-AA  \n",
       "1  Greater Accra Region    GH-AA  \n",
       "2  Greater Accra Region    GH-AA  \n",
       "3  Greater Accra Region    GH-AA  \n",
       "4  Greater Accra Region    GH-AA  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "accra_roads = roads[roads.shapeName == \"Greater Accra Region\"]\n",
    "accra_roads.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "legitimate-metallic",
   "metadata": {},
   "outputs": [],
   "source": [
    "exposure = gpd.read_parquet(\n",
    "    data_folder / \"results\" / \"GHA_OSM_roads_edges___exposure.geoparquet\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "raised-lafayette",
   "metadata": {},
   "outputs": [],
   "source": [
    "exposure = gpd.sjoin(exposure, regions).drop(columns=\"index_right\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "16b6fc9b",
   "metadata": {},
   "outputs": [
    {
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4790594</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>Airport Road</td>\n",
       "      <td>roade_0</td>\n",
       "      <td>roadn_0</td>\n",
       "      <td>roadn_1</td>\n",
       "      <td>48.717294</td>\n",
       "      <td>LINESTRING (-0.17544 5.6055, -0.175 5.60552)</td>\n",
       "      <td>0</td>\n",
       "      <td>370</td>\n",
       "      <td>...</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>4790594</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Greater Accra Region</td>\n",
       "      <td>GH-AA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4790599</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>South Liberation Link</td>\n",
       "      <td>roade_1</td>\n",
       "      <td>roadn_2</td>\n",
       "      <td>roadn_10777</td>\n",
       "      <td>18.539418</td>\n",
       "      <td>LINESTRING (-0.17889 5.59979, -0.17872 5.59977)</td>\n",
       "      <td>0</td>\n",
       "      <td>370</td>\n",
       "      <td>...</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Greater Accra Region</td>\n",
       "      <td>GH-AA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4790599</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>South Liberation Link</td>\n",
       "      <td>roade_2</td>\n",
       "      <td>roadn_10777</td>\n",
       "      <td>roadn_3</td>\n",
       "      <td>124.758045</td>\n",
       "      <td>LINESTRING (-0.17872 5.59977, -0.17786 5.5996,...</td>\n",
       "      <td>0</td>\n",
       "      <td>370</td>\n",
       "      <td>...</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Greater Accra Region</td>\n",
       "      <td>GH-AA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4790600</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>Airport Road</td>\n",
       "      <td>roade_3</td>\n",
       "      <td>roadn_4</td>\n",
       "      <td>roadn_6313</td>\n",
       "      <td>38.030821</td>\n",
       "      <td>LINESTRING (-0.1733 5.6056, -0.17327 5.60556, ...</td>\n",
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       "      <td>371</td>\n",
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       "      <td>Greater Accra Region</td>\n",
       "      <td>GH-AA</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 392 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    osm_id road_type                   name       id      from_id  \\\n",
       "0  4790594  tertiary           Airport Road  roade_0      roadn_0   \n",
       "0  4790594  tertiary           Airport Road  roade_0      roadn_0   \n",
       "1  4790599  tertiary  South Liberation Link  roade_1      roadn_2   \n",
       "2  4790599  tertiary  South Liberation Link  roade_2  roadn_10777   \n",
       "3  4790600  tertiary           Airport Road  roade_3      roadn_4   \n",
       "\n",
       "         to_id    length_m                                           geometry  \\\n",
       "0      roadn_1   48.717294       LINESTRING (-0.17544 5.6055, -0.175 5.60552)   \n",
       "0      roadn_1  187.809543  LINESTRING (-0.175 5.60552, -0.17418 5.60555, ...   \n",
       "1  roadn_10777   18.539418    LINESTRING (-0.17889 5.59979, -0.17872 5.59977)   \n",
       "2      roadn_3  124.758045  LINESTRING (-0.17872 5.59977, -0.17786 5.5996,...   \n",
       "3   roadn_6313   38.030821  LINESTRING (-0.1733 5.6056, -0.17327 5.60556, ...   \n",
       "\n",
       "   split  i_0  ...  \\\n",
       "0      0  370  ...   \n",
       "0      1  371  ...   \n",
       "1      0  370  ...   \n",
       "2      0  370  ...   \n",
       "3      0  371  ...   \n",
       "\n",
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       "   wri_aqueduct-version_2-inunriver_rcp8p5_MIROC-ESM-CHEM_2080_rp00010-gha  \\\n",
       "0                                                0.0                         \n",
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       "2                                                0.0                         \n",
       "3                                                0.0                         \n",
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       "   wri_aqueduct-version_2-inunriver_rcp8p5_MIROC-ESM-CHEM_2080_rp00025-gha  \\\n",
       "0                                                0.0                         \n",
       "0                                                0.0                         \n",
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       "2                                                0.0                         \n",
       "3                                                0.0                         \n",
       "\n",
       "   wri_aqueduct-version_2-inunriver_rcp8p5_MIROC-ESM-CHEM_2080_rp00050-gha  \\\n",
       "0                                                0.0                         \n",
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       "\n",
       "   wri_aqueduct-version_2-inunriver_rcp8p5_MIROC-ESM-CHEM_2080_rp00100-gha  \\\n",
       "0                                                0.0                         \n",
       "0                                                0.0                         \n",
       "1                                                0.0                         \n",
       "2                                                0.0                         \n",
       "3                                                0.0                         \n",
       "\n",
       "   wri_aqueduct-version_2-inunriver_rcp8p5_MIROC-ESM-CHEM_2080_rp00250-gha  \\\n",
       "0                                                0.0                         \n",
       "0                                                0.0                         \n",
       "1                                                0.0                         \n",
       "2                                                0.0                         \n",
       "3                                                0.0                         \n",
       "\n",
       "   wri_aqueduct-version_2-inunriver_rcp8p5_MIROC-ESM-CHEM_2080_rp00500-gha  \\\n",
       "0                                                0.0                         \n",
       "0                                                0.0                         \n",
       "1                                                0.0                         \n",
       "2                                                0.0                         \n",
       "3                                                0.0                         \n",
       "\n",
       "   wri_aqueduct-version_2-inunriver_rcp8p5_MIROC-ESM-CHEM_2080_rp01000-gha  \\\n",
       "0                                                0.0                         \n",
       "0                                                0.0                         \n",
       "1                                                0.0                         \n",
       "2                                                0.0                         \n",
       "3                                                0.0                         \n",
       "\n",
       "              shapeName  shapeISO  \n",
       "0  Greater Accra Region     GH-AA  \n",
       "0  Greater Accra Region     GH-AA  \n",
       "1  Greater Accra Region     GH-AA  \n",
       "2  Greater Accra Region     GH-AA  \n",
       "3  Greater Accra Region     GH-AA  \n",
       "\n",
       "[5 rows x 392 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "exposure.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "usual-vacuum",
   "metadata": {},
   "source": [
    "Filter exposure by region, RCP and return period to find all roads exposed to a historical 100-year flood in Greater Accra:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "presidential-writing",
   "metadata": {},
   "outputs": [],
   "source": [
    "accra_exposure = exposure[(exposure.shapeName == \"Greater Accra Region\")]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "3ca9f390",
   "metadata": {},
   "outputs": [
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       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>4790594</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>Airport Road</td>\n",
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       "      <th>1</th>\n",
       "      <td>4790599</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>South Liberation Link</td>\n",
       "      <td>roade_1</td>\n",
       "      <td>roadn_2</td>\n",
       "      <td>roadn_10777</td>\n",
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       "      <td>4790599</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>South Liberation Link</td>\n",
       "      <td>roade_2</td>\n",
       "      <td>roadn_10777</td>\n",
       "      <td>roadn_3</td>\n",
       "      <td>124.758045</td>\n",
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       "      <td>Greater Accra Region</td>\n",
       "      <td>GH-AA</td>\n",
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       "      <th>3</th>\n",
       "      <td>4790600</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>Airport Road</td>\n",
       "      <td>roade_3</td>\n",
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       "      <td>Greater Accra Region</td>\n",
       "      <td>GH-AA</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 392 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    osm_id road_type                   name       id      from_id  \\\n",
       "0  4790594  tertiary           Airport Road  roade_0      roadn_0   \n",
       "0  4790594  tertiary           Airport Road  roade_0      roadn_0   \n",
       "1  4790599  tertiary  South Liberation Link  roade_1      roadn_2   \n",
       "2  4790599  tertiary  South Liberation Link  roade_2  roadn_10777   \n",
       "3  4790600  tertiary           Airport Road  roade_3      roadn_4   \n",
       "\n",
       "         to_id    length_m                                           geometry  \\\n",
       "0      roadn_1   48.717294       LINESTRING (-0.17544 5.6055, -0.175 5.60552)   \n",
       "0      roadn_1  187.809543  LINESTRING (-0.175 5.60552, -0.17418 5.60555, ...   \n",
       "1  roadn_10777   18.539418    LINESTRING (-0.17889 5.59979, -0.17872 5.59977)   \n",
       "2      roadn_3  124.758045  LINESTRING (-0.17872 5.59977, -0.17786 5.5996,...   \n",
       "3   roadn_6313   38.030821  LINESTRING (-0.1733 5.6056, -0.17327 5.60556, ...   \n",
       "\n",
       "   split  i_0  ...  \\\n",
       "0      0  370  ...   \n",
       "0      1  371  ...   \n",
       "1      0  370  ...   \n",
       "2      0  370  ...   \n",
       "3      0  371  ...   \n",
       "\n",
       "   wri_aqueduct-version_2-inunriver_rcp8p5_MIROC-ESM-CHEM_2080_rp00005-gha  \\\n",
       "0                                                0.0                         \n",
       "0                                                0.0                         \n",
       "1                                                0.0                         \n",
       "2                                                0.0                         \n",
       "3                                                0.0                         \n",
       "\n",
       "   wri_aqueduct-version_2-inunriver_rcp8p5_MIROC-ESM-CHEM_2080_rp00010-gha  \\\n",
       "0                                                0.0                         \n",
       "0                                                0.0                         \n",
       "1                                                0.0                         \n",
       "2                                                0.0                         \n",
       "3                                                0.0                         \n",
       "\n",
       "   wri_aqueduct-version_2-inunriver_rcp8p5_MIROC-ESM-CHEM_2080_rp00025-gha  \\\n",
       "0                                                0.0                         \n",
       "0                                                0.0                         \n",
       "1                                                0.0                         \n",
       "2                                                0.0                         \n",
       "3                                                0.0                         \n",
       "\n",
       "   wri_aqueduct-version_2-inunriver_rcp8p5_MIROC-ESM-CHEM_2080_rp00050-gha  \\\n",
       "0                                                0.0                         \n",
       "0                                                0.0                         \n",
       "1                                                0.0                         \n",
       "2                                                0.0                         \n",
       "3                                                0.0                         \n",
       "\n",
       "   wri_aqueduct-version_2-inunriver_rcp8p5_MIROC-ESM-CHEM_2080_rp00100-gha  \\\n",
       "0                                                0.0                         \n",
       "0                                                0.0                         \n",
       "1                                                0.0                         \n",
       "2                                                0.0                         \n",
       "3                                                0.0                         \n",
       "\n",
       "   wri_aqueduct-version_2-inunriver_rcp8p5_MIROC-ESM-CHEM_2080_rp00250-gha  \\\n",
       "0                                                0.0                         \n",
       "0                                                0.0                         \n",
       "1                                                0.0                         \n",
       "2                                                0.0                         \n",
       "3                                                0.0                         \n",
       "\n",
       "   wri_aqueduct-version_2-inunriver_rcp8p5_MIROC-ESM-CHEM_2080_rp00500-gha  \\\n",
       "0                                                0.0                         \n",
       "0                                                0.0                         \n",
       "1                                                0.0                         \n",
       "2                                                0.0                         \n",
       "3                                                0.0                         \n",
       "\n",
       "   wri_aqueduct-version_2-inunriver_rcp8p5_MIROC-ESM-CHEM_2080_rp01000-gha  \\\n",
       "0                                                0.0                         \n",
       "0                                                0.0                         \n",
       "1                                                0.0                         \n",
       "2                                                0.0                         \n",
       "3                                                0.0                         \n",
       "\n",
       "              shapeName  shapeISO  \n",
       "0  Greater Accra Region     GH-AA  \n",
       "0  Greater Accra Region     GH-AA  \n",
       "1  Greater Accra Region     GH-AA  \n",
       "2  Greater Accra Region     GH-AA  \n",
       "3  Greater Accra Region     GH-AA  \n",
       "\n",
       "[5 rows x 392 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "accra_exposure.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "5e78168b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['wri_aqueduct-version_2-inunriver_historical_000000000WATCH_1980_rp00002-gha',\n",
       " 'wri_aqueduct-version_2-inunriver_historical_000000000WATCH_1980_rp00005-gha',\n",
       " 'wri_aqueduct-version_2-inunriver_historical_000000000WATCH_1980_rp00010-gha',\n",
       " 'wri_aqueduct-version_2-inunriver_historical_000000000WATCH_1980_rp00025-gha',\n",
       " 'wri_aqueduct-version_2-inunriver_historical_000000000WATCH_1980_rp00050-gha',\n",
       " 'wri_aqueduct-version_2-inunriver_historical_000000000WATCH_1980_rp00100-gha',\n",
       " 'wri_aqueduct-version_2-inunriver_historical_000000000WATCH_1980_rp00250-gha',\n",
       " 'wri_aqueduct-version_2-inunriver_historical_000000000WATCH_1980_rp00500-gha',\n",
       " 'wri_aqueduct-version_2-inunriver_historical_000000000WATCH_1980_rp01000-gha']"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "[col for col in accra_exposure.columns if \"1980\" in col]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "proof-prague",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
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I/lfX7qWjY3JvQf4tMPGeFQLnXtf0WqCLCJX/hSrELpWSNLF9oOpB1SwxpVB3IpJ6qFf2fxtxzojD4RhwJPeWPgh1cUe5GuF5UUz5+ZrG8OdA8vbltjEmDKXngP8VpP9ZTHetIthimiYwrJ/X/abYNhyEwNheLSG2OOm3p/VLwQ0gMA7jz+7iAO0rsHqhtaH6fghtpJs1XIDkpy6792qJc0YcDsfA488F4phw3ybUftswXhxTejYAkntV0wDLbhPeFogAEaTw+Yo1sJdY64OJgylDuuo86SFSmAXeaAiOx5hQr9YwsR8CBuwSbKELx2JpAiPBr0W62sfEwRuCtBMF9LwopuxCiO6nKrLJu3tk+7cV54w4HI4BRSSjQ+ECayChHhQLri5E94Po3pB7HUktf2EyXgIi3wX/c0zuxRVvXy8wNIA/C6QBE6ju37ULn2p3kdf7WhQTHA+RvaEwHdKPdn/HyE6qIZJ7tXOHxJ8PdnGHKUljPPCqiuq7K6cOy4rGOSMOh2NgyX0A+ddA6jDBcYNtzUqHMQYT3k6f5D9pf5vwtgBI5sUVZFUfsfX63ZT0OnrREVL4TB/0VbMjfiB4wyB1m7ZadwMvvKkWYPufIU1XdWJkc7dPJ/VR+Y90k4HQYVkFcc6Iw+HoMSJ5JD+te9vm3tAH4a3dXJqOCBSdtI5qESI76/f8O1i/foWY1CdanJHy/l+7WRVO+jaXxoS31XSKJJH0Y93fr/RXgIHM09jcex1s1VyM3L4zYrNvQ/59ACTgHHRwzojD4eghYpNI7UlIzRHY/Gdd75D/EILrqnqlo13EGwvBiSCiM1OWwQTHQOQHYKow3ZzwO5iINGgr8kDc9cd+DKHNIHUv4i/q9TLGGEicoEWpydsRsd3bL7Q+xI9XB7LxkvaLir1hqhDbTmREJAcNvwGKE33rTnVtvjhnxOFw9BQTAQoQnAANFyI21eGmIjnIvQGFTzHhTVaYiasaJjgcCjPBzi5OfG2H4FiQRUjmiRVrXC8wdgn4X4J0L/3Ro7WLKSvIIMkb+7ZWdE/tZLKzoAOtl3b3Sxyr7db5D6G9n0dhpirELtNNAyDpfxbn9vjqpAdGqEPSeA2S/3jV6pjqR5wz4nA4eoQxQSi7CgoLIP8mUn9hxxvnPwCyKovdlTbDaowxHjSPsG9uiV12m9iP9EH2eaRYb7DSYhv0u1fR70sbYzAlZ+iT/MfY3Kzer+UlIHYQAJK6s/v7BYZiEifpfg1XYJdyyEUKgF/csK0zIv430Hil1pSUX4ip/heEtwXykLwOWbI/0nh5r89nVcY5Iw6Ho8d4wWGYyivAGwH+p0jmv+1uJ/mPVIkysrurF+kEkQJ4IyG0BdKBfLoJrg3RH6ryaOq+bqcVBgNB9Oc+UPUQ4e0hsi9gIHlln5Yy8cMhMAEkheQ/7f6OieP0HIPjYClHRiSjr4e2RpapGZHGayC4kQ48jO6FMWG8svMw5VdAaCKY4ZB/D8k816dzWhVxzojD4egVJvwdiOwIhY+R7LPtb5SdokqUQTettDOk8EVxnH2sc1XRxJmq4Jl+EJI3rzgDe4o/VxVO6VuRaUcYYyB+uB4j91Lf1gquAcG1IP8+klpeeK5jG6IQPwTyr0PTX5HirBtDTu3Kv9WmtVeSt0LmIX2v9Nw2k4JN7Id41Q9B/EeQfxep+wW25jhs8lYk8wLiL+nTOa4KOGfE4XD0nmJ9gwlusNxbIjnIF7sNnNhZp5jCdCh8CJLudJy9FxqFSRwKgDT9Ccn27UI8YIimacxAdNMUMRS7arxRfV8rcTwE1oLcR0j+4+7vF90HonsCBaTxcq33aJkkHG75WYpNIk3X6T4lZ+F1UD9lSk4rFnrnIPcKZJ5H6k5GFm2HXXI4tul2/bv6FuKcEYfDAajzIPlpiD+3W0V01maBGIQmIS1FhUutl/9Ypc5NlRa7OjpECrO1A6MbQ9tM/JBinYMgyTu7VgMdDETAG4oM4FBE8RerIxLsnST80pjwZhBcD+xsJHmbTvXtzn7GYEp/C0TAppDcmzpjyBupaq3N5F4FyWkaLn58J+uFMJU3Y6ofwZT9n3YjBdfRNyUDyVuQ+nM1FfQto0fOyIUXXqgf/lJfI0aM6HSf6667jg022IBYLMZ6663HXXfd1SeDHQ7HAOHPQ5b8CFm0C7JoErbhMiR5B5J5AVuYvVyNgil8CLnnwf8MAusst5zJva4zVSLbdXq3v7ojmWcgeb12Z4Q279Y+puwCiO4DuZeR+rOLjuFKhD9bhyJ6pQN4jC/BzlOHtz8oLc4JyjwGmae6vZsJDIXEseB/CslrMZIFOx8kCehgP7EZLeLOv4uRzlMuxniY0IaY+OF4Zb/FG/IkZugrEDsEvBLIPIHUnoI06618Swj2dIeNNtqI555rLa4JBDqeeHj99ddz3nnncfPNN7P11lvz5ptvcuKJJ1JZWcm+++7bO4sdDscAUdC7c1tbnBL7KCKL9a3Q1kjhEyS0sWo8BDeBwrv6XngzPG95Z6N5OJ7p5gV2dUTSTyD1ZwM+RPfFxPbq1n46QO9cxP9apfaT10HpWQNrbE8opmkGVOrcfqPfvf6Rm/eCw7HeUHWge3ihN/FDtSYk9wZSFDODMJL/FGm8GHJvQWCMpmB64TyZwDBM4kAktCZSe6LK0deeDtHdIPYj/X1YxemxMxIMBruMhjRz9913c/LJJ3PwwQcDsNZaa/H6669z2WWXdeqMZLNZstlWT7+hoaGnZjocjh5igutghr2CSBbJva/j0guf6z9nRC8wuVfB/wb8v7Xu2E69iLV5yL2jT8JuHk172NQTkLwa8CH2Y0zZJT0aZ28CwyFxAlJ3GiTvwMb2wwsuH6EaFJoVWAegtbcZE1wfAci+iJT8TFvO+4C1BSgU60VCE3tmS2AkEjscCtMg86q+KE3Ikp8AGSCsTkPi+D51lZnw1lB5C9JwGeSmILkpkHkaiXwfE/muFuOuovQ4djpz5kxGjRrF+PHjOeSQQ/jiiy863DabzRKNtu2zjsVivPnmm+Tzy6sMNjN58mTKy8tbvsaM6f1AJIfD0TOMieBFtsErPQOv8i94Qx7DVN1ZzGP/HiK7qWZIYCwQgNybSOGrtosUPgYT0xbM4LqDcRorNZJ6EBrOUrn0+DGYskt75Ig0Y6J7QOwwnZfS+KcBsLSXmNKiAukARkZiB0J4Jyh8qamVPmL8z4AIhLfpcY2T2BSENlCNmNzzWssiKfCGqrJuxTUQ+wnQ9zk9JrwVpvouTOn5YIaCXQSZfyOLv4dtuBixyT4fYzAw0gO5t6eeeopUKsW6667LggULuPjii5kxYwbTpk2junr5UNn555/P7bffzuOPP84WW2zBO++8w957783ChQuZN28eI0eObOco7UdGxowZQ319PWVlbsKhw7EyYPNfQdOfIfsUeMMxVXdjgmsCIMlbtHsgug9e+UWDaufKhhS+RBb/ABCIH44p/V2famqk8BmyeB/AYqr+qcWYg4hIDlmwMQBm2NsYb+D+Z0vTzUjTFRBYAzPk6T6lKyTzX6TuFAhuhDfk4eXflwwUZiH+15jC54g/CwqzVGW2MF03MmXFbpogkC9+FQlM0EnGgVEt0UITGI14ozDBkRAYrX9HPYjwWJuG9MOQ/Y9GLQHMCIjsiIkfgAlv2bsPox9paGigvLy8y+t3j+Jae+65Z8vjiRMnst1227H22mtz5513ctZZy+crf/e73/HNN9+w7bbbIiIMHz6cY445hssvv7zTWpNIJEIk0sm0Q4fDMeh4oTWRsguQ2plQ+AypOQKpvBsvNB7Jvg6SxATXGmwzVz78BYDoBbT0gj6LwZngOkjsx5B+UNU7q+4dXIG55hQNBkzJwB4rfjikbldJ9/RjEP9J79fyqvR7YQE28wL48zXt4s9WJ6NZS8cMaa2lgtYOKFNeVFMNgglqjYg/SzVX/DkgdUBO056FoZB/S9NMgXHq2AAQQEKbgamEklM6bAFuMdmLQeIwSByGZF9G6i/Quq/sFCTzKAx9HhPoXlnFYNOnJFsikWDixInMnDmz3fdjsRi33XYbN954IwsWLGDkyJHcdNNNlJaWMmTIkL4c2uFwrASYQDVU3o3UHqWh+doTsZU3AnltYwxvi9NdbYuYqCp0epX95jSYktOR3DsgBST7Mib63X5ZtzeIbdDzM5EB76IyXlxbZbP/RfyvuvW7Zv0GjJ0NhdmIrVWHozAbbA0QAZOH5K2AhbwKmREq1j2ZUo1gBHfU4YWBNZHAmpjgGEwX9TEi+WK91Twd8BfeRotwm9uI/XlAHgozILAm1PwEGzsAk/hZt2pBTGQSDHkCafg/7eSRQEtHz6pAn5yRbDbL9OnTmTSp82mcoVCINdbQD/P+++9nn332abf63uFwrHqYQDVSeSfUnABeKdQcAbIETCnG1YsshzFBJP+WSun315qBEUj0h6rw2XQ5EtmhVzUo/WKL1Ov5daYk25/YotprUI+nrbQ1GH8W+LORwhxtA/ZnqdMRGI0Upum+wc2h8F7rWoF1wSvTGhxvNIS3xQTHId5YTGgcmOUdyO66k8aE1MbgmHb3EfERfyHGzkUy/9G6q8IsZPEPkMTRmMQpXbZKGy+OSErbjGOH6giBVYQeOSNnn302++67L2PHjmXhwoVcfPHFNDQ0cPTRRwNw3nnnMXfu3BYtkU8//ZQ333yTbbbZhtraWv70pz/x0Ucfceed3R9I5HA4Vn68wBBs1c1Qc2TREYlDeLtBuyCu3DTXNfSvkqZJHIakbgP5GjL/htj+/bp+t2lO0wyg+qqIqOhZ/m1I3acv+vXYxftrWiW4zlIttgBRtKsFMOuAN0QLsAMbQvS7KsEfGIsE1sB41b12OPqCMQGtHWEkJrwVNvpDaLoCyEHyZiT1IFJ6FkR/jOd1UggbXBOyaIv+KkSPnJE5c+Zw6KGHsnjxYoYOHcq2227L66+/zrhxOgxp/vz5zJ7dqgbo+z5XXXUVn3zyCaFQiF122YVXX32VNddcs19PwuFwDD5eYChSdTeyaCftJOhb4PVbi5iIak30c2Gn8SogcSLS9FcVUovu0+d2194g0qjdJIG+ybSL5DSlUZiHsV8hha+BLOTeBv9r8MaDfKOpE6nXr+bWXFvbqs4aGAvBdTCBkRAYg3hj8ALtRxhWppSiF94Iqbwdsi9oLZBXDk03QPJOpPSXENm13TSfieyKJG8GuwDbcCFe2YUr3Pbe0KNumsGiu9W4DodjcBHxkQVbAWmouA0vuv1gm7TSIf5CZNGOgMEMn9GvxabWpmDJj8H/AlN5FyayvEz/QCPJ25HGyRDdG6/izx1vJwJ2MfhzELsAU/iyKOL2tdZvFD4HrNaf5FVAj8CaRd0bUNchAdHdwYQguIFqrwTGairERNs97qqISAFJ/wsyj6v+D0D0J5jEEZjQhstsK0jTtZC6C6QBM3zqoIqiDUg3jcPhcHRKYRqQBJPARJzYWbs0FxWaWL93vXheHBveDNJfINnnBscZsUWRSq8caxsx/teaOvHnIP5CKHyh3SWB4ZB7TbcNjFFHpJnAWoBVrRpvCES+pzUogXGYwCjEGwZ1F4IXUSGx0Ld79pExQUz8ICS6F5K8ATLPQuYRJPMQEvsxpuQX6ohRnGhc8lMk+VdA5x6Z0EoihtcJzhlxOBz9hqQe1weR7w5KimCVwC7S7/01U2UZTOT7ehedfQFrzx/QZgHr12HsPMSfj/HnIv7cVr2L9FOQeRGx81p3CEwAv9h96VUBXjFlNQZCWxU7VMYggXGYwGjwhrTvsNkkYj8ASSDekJUqvTKQGK8EU3o2NnYINP1JIyXph5DCLCRxDF50d93OBBFvTQgMBWKDanN3cf8tHA5HvyCFryF9r86uiR812OastIhtKKYSBqjTKLKDtqLmp2H86eBt1OulrN+EsXOLqZQaKMwsplHqofAJeCMQfyYE10cKM3Sn4MZAvFjHkSoWi46BwBoQXB/jlWtHS2AMJjBSu0yWoSvnQvKfqhMTXAcvMHCTgVdWvOAaUPEnJHcUUn+ZTgSuOxsZ+ix4VUjDRWDnQGAIYLtcb2XAOSMOh6NfkPR9OjbdlOCtBMqPKyvGLkaKHR8Dsr6JIl4VkETSj2BCHTsjImmkMBdj54A/Fyl8UxTq0ucERrW2wYY2gzYdKkHwF+uguuA6xe6UURBcGxomAxaq7u1QuKsv0Qzjf4LYBcDq3Tpuwpsh1fdA7eFABknerIW66fv1/ciOmNCqMU7FOSMOh6PPSOFLSN6uTzopWnTQ2nLZrPg5EMQO0CLQ7MtYvx7yM1WPQxZDfhpgIfcG2CUQ3BQpfLDUzku3wa6lLbrFqAahLVWAKzAa8UZjAqMxXnz5U2z6C9hUu1GP/kAKn+oDp2OD5wWQktOQ2mMhdR8S0M/ElF6ASRwxyNZ1H+eMOByOPiPppyC0JQRG4/Vw4unqhkixQySw5oAdw0R2ROqvBpOFRTupaihGReny70BoK3VEAMhBcD11OIp6GyYwosXh8ALtd0B0GtkIbQK2AZH8wNRzSEo/w06iPqsV4e0htIO2NtvFEJ4E8QMH26oe4ZwRh8PRdwpTIf8WJrb3YFuy8lP4oPhZ7dXvS4sI5N9FUncBTWDTQEqLRoNbaGQjuptKmAd+o/NxvI7FyXrtSBS+AP9LTHOEpR8RsZB5TttWg7/p9/VXRYwxSOJYqDsVECi/HGNWrfluzhlxOBx9p1nHQPKdb+eA/Cf6vR9TDNZmMNmnkPTjkHu5+GoYIvtqIWnuOQhviFd2NrACxL2aL4TSvyqzAJJ9CaRBxc6C3+6W3p5gIpOQ4HgtLE7/C0pOHGyTeoQbEONwOPqONwK80cgqNJhrMLB+naZKTEJrMPq6XmEBtvFPsGgnpOkvxfH1EYj9BFP9AF7lZEzsB0BZcRDcCsIbWvx96F/nVLKvQ9O1gAexAwasJmVVxBgDidMgsBHkXkNs02Cb1COcM+JwrORI7j1VtRyAu8z+wnhVWiBZmNX1xqsxpjADCp+Cqehy6FlnSP5DbN3ZsPgHOptFanXIW2QXzLApeOWXYkIb6LahrYAGyLyCLczufOH+QrJg52Ik3X9L5mciTddA4UOVui85pd/W/rZgot8DLwq5VyD198E2p0e4NI3DsRIjhTlI7Ukaak/egcSPhtgP8QLVg21aW7wh+t0uHlw7Vnaau0BC6/V4V5E8ZP6jaYrMw61vRH6Mie4Cke+1KzTnBUdhw5P0ArXkR0jpryB2UL+rv7bB9O8wQMm9hdSeAgiEd8aUX4Qxq4aY14rEmADED0Tq39GhiYkjVpnPyTkjDsfKTGAUpvRsvSO08yHzKDT9GRtYC7wSnclhImCi4K2hGgPxA1b4PyBp55FjeVqFwbqfohFbi6Qegtz/9ItSrZeI7IJJHI3pRveSKTsPqT8X8lORht9B9kOk5HS80MCowLbWjPS9gNVmXoL634A0QmgLTMVlq8wFdlCI7qupLH8OknoEkzi0zdviz8P0cYjhQOCcEYdjJcYYD+IH6zj49MNItqgN4U8Hfyk9CIDghkjhY0jeAGUX6d3yiqIwU9tCQxuvuGOuiviLIbB2twovJf+JdsXkp+uMFmnSCFTsEIgfihcY2u3DmuA6UPVPSN2JJB9R3ZGGnyFV9w5M10VwfSjMRPy5fSqWtenHof73EKiG4O6Yiiu/VQPwBgJjQkjiNEjdAsnrkfgBLYPyRHLI4r2Q4AaY8sswwbGDbG0rzhlxOFYBjIlA/BBM/BBsfhbGzkZsEkNW8/OSQSQLqXqwc5G6nyNV9+GFNx1w28SmIPNvsIuWmyDqWAYvDrnPMXZhu2+LWB0Zn7oPcm8BGQhuommP2DEQ3QvP653zYEwAEschoe9CzaFg65H6C6D8j/2esjFeparMFj7v0X6SfgLJPF1Udg3rIL3g+hBcD1N+qStY7SYmthfSdBXYhdpZEz+k+I4HpgQT+S4ERgyqjcvinBGHo4eIyMDm27vAC40Dxi13x2kASRyN1J2ps0NqT8VWP4AXHNiQrDRdq8PfAmtAZNcBPdYqj6cXAPHnt/n5iW1EMk9C8haVY4eiMNoQiB2JCW/Zb79zXngdpPIapPZ4yDyMhDbCJPp5llBwLf1e+LLdt8WmkNz7GH8G4i8q1hwFoekS3SCwFuS+0Mfh7TGlv9IooaNbGBOBxElI48VI8jZM0RkxJghDnupT8fRA4ZwRh6ObiE0hyesAMKXndGsf23ApJrAGxPbHeO0rWfYnxoSRssug9hAIrgk1RyBVt2KC4wfkeJL/BLL/hcAETOkvW8LBjg4IrqVORrG2xmbehuwTkHkEJAbUaT1I/BCIHYEXHDkgZpjI9lB6rkZgkrdigxPwItv12/oSGKcqr5LD5mdipA4KXyGFz6AwHXLvQWgTJP8WBMaBFLQbKzgRvHKIH4GxCyAwTm119BiJ/giyL4NksYVFeEFN662Mjgg4Z8Th6D65lyB5MwTWRErO7vJOVWwNpO5AABPbr/NtC7OR5A2Ysj+02xHRE7xACbbiJqg9EuwcZMlBSMWf8SI79mndZRHxkeRN4H8Bkd0xURcV6QrjlesF2C7B1p4MhflABiQJwZEQPwcT3aPdeS/9TvxoFcjKz4SGPyBDHtdUTj9gAqORwud6Xkv2bi1rDqwNfjF1YyIQ3RMCG+jMHH8uBDfWolyvpF/sWJ3xAqVY/yvwZ2H8mRDsfo3RYOCcEYeju4R3BELgf6UX4ODanW4uufchtAV4QzFeRcfbSUGHXPlfa2Fj4tg+m+oFRyFV9yN1P9N/8rVnYkvPwMQP778UU+rvWisS+g6m7Lf9s+a3GGtTWowK+vvjfwHeGKAMU3m7piNWYPrPGIOUXgCLdladktzLENm5n9b2kMBQKNQCMS1ALUZLTGAkhCZCcJ1BTXeuFgTX0bRfYSas5BEml4RzOLqLiUF4WyCANF7d9faFT8FfoGHnzpY1QUziJDBxJDsFEb9/zA0MxVTdA9EfQWhDSD+A1J7WL8qM4i9Asv8FPL2TX8mK4VYmbGE+tvEqWLQLpP4BJIAYxA/DVN2CN+xhTGSHQbkwe14MYj8EU4VkXurfxQPraIdV6fl4Q/+LV3U7XunPMPEfY0ITnCOyIgisC95IxG+/YHplwjkjDke38fXu0RsC2Wewmf/qYLKOyL6oefDQFl2uLNEfA1HIvQr5j/rNYmPCOo8kug/4iyD3H6TuVMQ29GldSd4Oufe1YDV+WP8Y+y1CRJDcO9i6M6D2WEjeqNEHbyiQhMAmeGUXDlgtT4+IHayzXtJ/79+LVnC0Rvv8T/tvTUfPaG4hzz6L9KMa7kDgnBGHo5sYE8ZUP6btcoFxUPczpOG8dv/IRXItToUJb97l2p4XgvBW+iT3Sr/aDeAlDsRUXg/BDbSQsO7nvZaXl+xLkLpNRdcSP++3OoNvAyI5JP0oUncmUnMoZJ7SdEx0X0zFtRDdQzcMrzG4hi6FF1obQpsAPqQf6rd1jSkWSq7kF8FvNaH1VCzR/wqpPaPfZwX1J84ZcTh6gAmtjxk+FWIH6AvpfyFLjsQ2/rXNXaXkPwZyYCohsGb31o5M0n2z/+tnq4vrhzeFssmqZJl7HWm8SnUteoC1KaTxWn0S/QFe2OmKAFh/Cbbxb0jtSUj9OUV9jXBxYN2jeBVXYaK7gxSH1Xkrl5y/iR8EgKSf7PHvRMc0r+MuM4OFCa4FFG8Wci8iDZf0Wxq4v3G/JQ5HDzEmjFdyCqbyFtXWIArpfyKLdsbW/wax9ZB7G8wwiO7Z7dy4RHaC4EYq2e1/MyC2e+EN9Q49tA2kbkca/9B5qmkZTOpenZMT/j6m5IwBsXFVQvLTsfXnwaKdIPsU+EvA0587Q9sOrAPApiAwFgKjB8/o9ojuCeHttTg791q/LCkE9VzNytlKujpgTAAi3wNTrtHczAtI7t3BNqtdnDPicPQSE9kBM+RZKD21eHEpaJHokkMg8wLIwh7NgPACI4ozPbKQeWZg7Y4fBBhIPYjk3uzWfiI5JHUH+F9iortivMSA2bgyI+IjmeewtWcjS35YTG3kVKgrcTwMeR6v9NT2hxlKk8r5s3JJmhsTU10askj6n/2zqKTBnw24NM2gYqJ6A0EpyDeYwieDbVG7OGfE4egDxgTwItvjVd+PqboPvPHadVN4SzfoRr1Im/WiewKoJPYAYmL7QngbrRWoPRmb+mfXEZLM46q06g2D2L4Dat/KiNgmbOpBZPHuSN2pkH1MHZDonpiq+zEVV+PF9+9crt3/WrU3Omn1HixM7CAgDn6tauT0meY0jaspGkxMsDgh2v8YiCPdGKw4GDhnxOHoJ0x4KxjyMBAGtJ1XGm/Aph7o9j93iewGoc3BxLCFgW3HM6W/BpPQuSeNf0Yazu+wwE1EkPRz6sDEj16tlFalMAvbcDGyaJK25voLNeydOBEqb8eruAYT3qJ76bjASFVg9YYMvOE9xIQ2hPAOQAFJ90NkzpTquZqqvq/l6DUS3ADMWkAFhDfHhDYZbJPaxTkjDkc/4nlxCG8G1OsLdgE0/AZZuAO2YXKX0QcvWKwlyL0CRen5gcKENsRU3gilZ4HUaTFu/Xk6K2QZJPsK5J6D/FSIHTigdq0MiAiSfQ1bczJSeyKk7tKIhqSg7A+YoVPwSs/pkVy7DsH7H+TfwnShPTNYmPBEyL/dP3Ujdgnk39KCacegYULjQb4AaiC40Uqr7+IUWB2O/ib3un5PnKaCZ+lHoPCRFowG14Po98CUdfhPwZScidQepboPsb0x4e8MmKnGeJj4IYg3XMfVZx5Dcq9BxdWY8NatG6bu17vm0GZ4gYoBs2ewsTYFmf/o+PVCUR8jtCUExmISx0C4D+JkmSeBDJiylW5iagvhLfV7vh+KHO08QMX3HIOINwqC2+j/IG8l/b3DRUYcqym26Ubsou9jcx/077qFL9E/qwgmcThe4ii8If/ClJyOFozehSzcGllyAJKf1u4aJrKtClERRZruQGyyX21s95jRXTBlv1ORJLsIafwLNnk7IoLNz9AIT+4NTPzbGRVRldQrYOFO0PRXsLVa+xM/DMouxqu6BRPZsdeOiEhe64BMHJM4fuVNcwU3AhLgVWML8/q2ls2AGYIE1u0X0xy9wxgDpgBeFXgrb/yhR87IhRdeiDGmzdeIEZ17Wvfeey+bbrop8XickSNHcuyxx7JkyZI+Ge1w9AWbnwlNV+nMhtoT+nfx7BRdNzwJ4y2VK0+cXBxM9rE+L3yE1P8O23BZu/LspvRcCK4HueeQhv/rUfttbzHBtTBV/4T48ZB/B9KPQ/IGSD9aHGp2QI+6g1YFJPcBtu5MqD9HhyBSr0JRJadhhr6MV3ahioL1lfRDkP0PeCOQ+FF9X2+AMF4cguOhMB1T+LDX64hkIDdFB+A1F1CuAN7771RefewtUo2ug6cNsR+B/RqSt62Q/yW9oceRkY022oj58+e3fE2dOrXDbV955RWOOuoojj/+eKZNm8YDDzzAW2+9xQkn9PMFwOHoCcmbWh/3cUJuM9YmsX6TFjhKGmJ7tXnfmBBe2fmY4R9jhr4Mkf1UyTV1K7JoR2zdudj044hN6fZeCabsV0AA/HlI/fmIFPrF1s4wXgJT+isoPQ8KU5GmP6vaav4tKApjreqIFJDM09iaE5GaAyHzBOTfh/BOmIrrMBV/xYsfgvHK+ud4tglpuhoAEz8Mb2VviQ6tD4Dk+9ACWvgSsGAqVliaprG2ibsvepBbzr2Hkzf9JdNenbFCjrsqYKJ7abG65JHcO4NtTrv0+D9xMBjsMhrSzOuvv86aa67J6aefDsD48eM5+eSTufzyyzvdL5vNks1mW543NPRtjoZj9UWkAIWZLcJTNv8xZF5Gf/ULUPq7fjhGDmpP1sI/LBDGRHZqd1tjghAYjqm8Esm8gDT+EfwvtT4h8zAS2lYHl8V+jAlvjZRfBfVnQf5txCuF0nMHXH7dGINJHIm1NcUiWileVLpfrLkyYm09Jv0gknsLsv/VTg9CEN0bkzhGu0kGAEndDbYGAuMhfuiAHKM/McF1EYDCZ71fpLlo1atcIQWTIsK9Fz3E1Ckf4wU81tpkHBfs93vumTaRSKQWEifghVZchGZlw3glSOwwSN2sUbrIVoNt0nL0ODIyc+ZMRo0axfjx4znkkEP44osvOtx2++23Z86cOTz55JOICAsWLODBBx9k77337vQYkydPpry8vOVrzJgxPTXT4VBSdyJL9sc2/rn4/AmgBiiA2RxvmQhGb5DcWxo5IAJUQWx/jNe16qSJ7oIZ8jSm6h8Q/QF4Y8HO1Xk39ecj6ScxXjWUnAmBjSD/SVFEagURPxYIAWEwQ5H0v1aJ6Z/LIoWvsA1/gJqTkaZrIT9D200jO2CGvoBXcfnAOSKShswUCEyA0l9hTGhAjtOfiFet03b74PSKBHUNb8W09S788gMeuvpxJn53Ay598nw23nF9LvlnGREehcyjUHcGtu4cpC8O1qpObH+VDcj8C+nHYZz9hZEeJJCeeuopUqkU6667LgsWLODiiy9mxowZTJs2jerq9mctPPjggxx77LFkMhkKhQL77bcfDz74IKFQx3+U7UVGxowZQ319PWVl/RM6dXz7EUkjC3cEacSUXYRED4RFPwD5CkhAeEu8qlu6Xsc2QOY5iOyICQxrdxvr18Hi/VThsPxqTC+cHGuzmPTdSPqR4l1pUTQqtBnkP9YujNAGUPE3jP8VFGYg3ihMeHONuPQzkrwDabwUzCjwKnXgGxZKToXYIXiByn4/Zn8hIpB7U4tG0/cBUtT3GIqJbI9E99E27IG2I/VPpOG3ENoGU3XHKjFUUNL/Rup/CeHt8Kru7Nm+/mLEnwtSgNpDIbAG3tD/9t4WEST/CaYwDUwICYzCmAgExiPiY/JvIfkPIXkbN17yA76YXsoVz/0fADb9FGSf03qn9IMta5qyS761hdhdYevOhsxjEP5ut/739QcNDQ2Ul5d3ef3ukTOyLMlkkrXXXptf/epXnHXWWcu9//HHH7Pbbrtx5plnssceezB//nzOOecctt56a2699dZuH6e7J7MyIpJfJe6Gvk3Y9LOQ+RfYJORf1xTDsNeR/JdQs2dxqxBU3oIX2a7DdUQKSOrv0PQn1ZgIbQLlN+AFlxeskvxUZMkBYGKYoa9pIWBv7S/Mg/S9kH0FJKuOQL6Y5zXlOniv8AEtqSZTptNgw5MwkW0wXu+cBBHRrhl/NpKfDk2362Te2MGY8EZI42VaW2EqQAJQfi4mut9KpVsgkkUyz2oxamG6DiqUJES2h9jRmMj2K8xeEVG5+MIMTOm5mMTxK+S4fUXSjyP1Z0FoG2oyf2LuzIVkkhkiiQjl1aWMWX80wdDyzu/iWS9RFf2FzkDxv6KQSzJr5hjKJ/yDRFmMTCrLe89/xObbfUBl9Ze89NTOhGIjWGfz8QwdU01TXZK6hQ3ULqijbmE9Aa+R7Xe+BcTXtlRQxVu/GI0PrAn+XECF+gre98gEL6esavmoZMvfZ2AMpuJqzEqqQjrQSGE2sngPwMdU/R3T3Mo9gHT3+t2n26lEIsHEiROZOXNmu+9PnjyZHXbYgXPOOQeATTbZhEQiwaRJk7j44osZOXLVzkF3heSnInVnQPllbTUbHAOGZJ6Bht/qBdpYMEMx5RdgjIekl7oTKL2wc0ck84LqbhS+gGZVUlMOtUcjQx5erjVTMi/onXdwnT45IgBecBSUnqNfgK27EAqLVULcXwB2DmAg8l3IvQdSq5GU/KdI/TlI4ihM4tRuz46RwtdI6k7If6rOG6D/GgI67C+8GSY8Ean8OyzZXx0WPKj/A5J9Gcp+P+hzasRfhKTug/T9Kslv64GoDoBLHIUXXGvF25R7EwhBaGLrlOdVAMl9oGms/Ntceewfeec5TQ2u/511mPHmZ0TjEYaOHcLodUZQPqSMIWtUkUvneOKmJ/j71OFEEwmQJE/etyGP3FLO3M9/2rL28DWHMvTaApVbvMiz95bx5pPa3j5mg9F8PX1uy3bDxg5h4exFPPpVkmg8DuHtin+HYa1HsYt0qF/k+3oDEPkuoeg+hE37lQcmNBGGvgx4q7XuiQmORWKHQOFTJHkjJnxT1zutIPrkjGSzWaZPn86kSZPafT+VShEMtj1EIKBhypW1vag/kYaLwJ+DpO51zsgKQPxFSP3vdChUdB9MdCckNAnjFUPj6UdbN278LTa6C16gnShH6n6k4QJ9Et4BYr+CwHpQczhQq6Jmke+2bi8CmUfAn4NJHNm/52QbIfsoSBJT+ivEb4DG8wCDKTkLgmtD/j0k97amkshC8mYk+zJSeQteO2klsbWQnYJkXwXyRTEuAVMCBFWyPDBOVWALH2JCEwAwpBG/2KGQOAeSV6lImuSh7HxMYHi/nnt3kPxHSOp+SP+bloFsgTUgcQImtnevo0T9QupeKEyF2EGYlXAWTXtI5gVI362DH/0axq0X5JtZI0mUxxk6ZghffzKPZH2KxXOW8PWMVudh3a3WJtVoef7xI9j7lAMwhWksXPQ2C2a/QDgaIpdRh37DbdelrmEI+fB2jNsoyOK5TcyaNoemWtXSSZTHqRxeztqbjWf0hJF8+skGbLrrLphl/k7F1qssf3Ctbqe+BuP3c2XElJyE1P4cClls0+0QPxzPG3zdmx6lac4++2z23Xdfxo4dy8KFC7n44ouZMmUKU6dOZdy4cZx33nnMnTuXu+66C4A77riDE088kb/85S8taZpf/OIXeJ7HG2+80W0jV8U0jdgGZKFWLJuhr3RYa7AqISIrVUh+WWzD5aqcGdwQU/3Acukxu2gPHVRGAfXD14Eh1+AFx7duk/431P8ayGt6ouSMln+Etu6XkPk3puRMTEnr3Z5kntPBaSaBGfaqTkDtJyT7IlJ7EgTGYYb8R19bNEnbggNr4w19qnVbEcj+F2n4HQRGgV+HSRyFmLjKj/vfINnnIDcVKGqbhLbW4tvwDpjEcUhoGzwvjK25EHKPgVeKN2yKru/PQxbtDIQwwz/SDp/GP2vqJjAKU3UPZgUoi4r4SPYlSN5SLBxGC/MwmPhREP3+oKdGxZ+PLNoV8DHVj2GK7bIrG3WL6knWJ0nWpxk6Kkt58DT9G4kegCk5CQJrtPksfd9n/hcLWfT1YhZ9vYTFc2tYPGcJ1go77L81W/+g7WDIproksdIoyboUtQvrGbv+6OX+h+SyeRqWNFBWXUY48u1Nab/z3IeMnziGdGOGWEmUqhH95yj7vk+mKUO8LN6t/9G28SrIvaUt2IEhFMJnEkjs0hIs6E8GJE0zZ84cDj30UBYvXszQoUPZdtttef311xk3bhwA8+fPZ/bs1mr/Y445hsbGRq699lp++ctfUlFRwa677spll13Wy9NadZDMFFUzlPpvhyOSn4Ekb4XSs8GrRJquw0S/jwltPLDHtUlIP6ytrh2kPyQ/E2m6RiMiwc0wsX3bvRh5Q3X4l11yIuRfBWZA7c+xgdGY2A8QWwfZlwEfonthyv7Q9g87uCF47yL+IppfFckg6Ye1jiJ+UL86IgDif6MtocENW20p+blGbkwcafobpuRUoKi0GP0eElwXak8COxtpvBhMBSJ1S53HpkAGIjtBaGtM6KoWJ6LlbEOjITcMaO2GEH+RdoVg9VjhraH8j0jtMSBJpPEvUH7JgDms+rvwkKaUvLFFRySoqZj4UXjhTQfkuL1B0k9odMEbsUIcEZE8pB/l8lO+ZNNdtuIHx+7S4bb5XJ7aBfVcfPCfmP76TEZPGMncmfPZ65gqzrh0CYS2xZT9BuOVLLdvIBBgjQkjWWNC91LsJRWaviurLqWsuv0Os3AkxJBR7TdAfJv4++SH+eAFrX3ZeMf1mTXtaxIVCcZuoDU4FUPLCMfCIJBJZbHWUlpZwlfTvibdmKZqRAVfTJ2NLfj4BYsX8GhY0kg+m2edLcYz443P2HrPzfnVHT+jYmjr7CPf9zHG8Onbn/PC318hm8oRKx1KSayaYSPn8L0fz+Sh6x6gKfUNJ152xGB9PD1zRu6///5O37/jjjuWe+20007jtNNO65FRKyPiz9dQeXCd7u2QvhsKM/pFx2KlIPsCZB5FslP0n3/670jyJqi6FxPeYuCOm3kGafwDZB7DVP9zubcl/xFSc6QWKQJEdkZiP6TTy2HJKVCrd/v4M8GrQOp/3fp+4heYkhOWv6gGNwA7F7LPI/I7fT95M2SfhcD6ED+lT6faLrlpqkMSXao7J3Yw2DpI/QPJvqAj7JeK7njBMUjVnUjylmJ9R1Dvdk0UE9kJieyOF+yiXb7wFvAFJtHadWD8WYg/E0Kts3JMcCxSeTssOQgyD0JoLUj0r6ihLcyH9D2Q+wDybxYPXA4lZ2Fi+6+QaExPEClA6g6NXpX8akCPZQuzMYUZSOOVSOErJmz8A6756btEYiEWzFrMgq8WsucJ36OkIsGt59/HFx98xdyZ37De1msz401tc53/xQI23nF9pjw8ixN+vxclVT9p1xFx9B7f94knIgBE4xGsb2msTdJYmySaiPDVR1+3bFsxvJy6BTpoc+Md1+ejVzQ1utam45j32Tct20ViYbLpHACBoEY03nrqPX6x4+8orSphrU3G8s1Xi/hwyscUciqYuPZma/L5+18BsObGY2iqXY9ExVgevy3FZrs1YK3F8wZnSszKK1S/EiE2idSeDP4cqPgrJrJDF9vXQv5DwGKi7YtfrWqILUr4R/fElJ6B+F9C7nUkeYcKOnllAzPQTYrphHZGrkv2FaTpelU8DW2FSRwN4e271vgIjm19XPWI1oDY+eAvhvihmJJTMO0UwpnI5gih4rZzERNEmm7W90pOwQQG4B94YSp4Q2GpCJQxBhInI/n3NS3TeClU3NjGZhMYhik7v90lu4pbiBTAXwShrZHQtq3b+8UagWUk4b3gOKTkFKRxMpJ+BBHBKzmxZ+fZDjb3kaq/Fr7SborAupquShwLsR/1exSqv5Dca4AHXhUmunP/ri1pJPeu3hxkXwL/K8Sr0r9BU8mieXFGrzOCa0+/jfIhpXw9Yx6P3/gsVSMrSDWkySRVMqGQ90mUx7n6lYsp5AuMnzh2QEL0DiUQCPD7R8/F+hrRSNanWDK/lsaaJppqkyz6ejF1ixrIZfLES2P6NxTwKK2Ms+fx3yNeFiNRFiMUDRMIBggEPQIBj2hJlHA0TCgS5KuPvuamc+4iVhLjw5c+ZsYbMwmGgy2OCECqIUXFsDI8z6OsupT1tl6Ha8/7kEVfL6G8unRQ0/DOGekWuaKUbhNSdzpS8ltMfE+MiXaw+TuAheAETGD0CrW0r1hrIfcy3rJOVE6neJrItjpzpfxypP58yD6NZJ/WbYY82f3IUTcRbzh4a4HNtbUzNxXqfqmdJNEfYcp+2y2hMQDjVdFaKFXAKzkOSRwLFDqtNTAmhgTXhMJM8L/UugUyOtU1umeH+/UWa7PanoosJ8pljIHSs7WbJTsFabwcSs/pFx0LyX8MhWlgStukGMTXuzeztDPXTPwY7XZo+hs0XY0Nb4HXi7ZBEV8jT+mnIfu4zjUpfAKRH0B0P4js0lqQvLKSeQrsN5D4Wb8MxBOxvPLwGzx39wtccP3DmEB1a3srQQhuAlKLVz6ZXY/2ePy2C4hEw6z/nQlM2GItXvzHq9TMr2PP47/H6AkjWfDVQrb+wWaM32QcI9Zc9VPIqwrGmJYIRklFoiWF1V9stks5f3v7chbNWcL7//2Irz6azYy3P+PTNz8nk1IntKSyhPlfqHDh2puN55nbX2CN9UYxdI1qDv/tAc4ZWdkxXiVU3Yk0/AGyr0H6dqTpD9rSGNtvue2FCHijgQ6clZUUW5itrZvShB36P7ylW+AkCYFxiDcGAxoaL/8jkrwBcm8Aou2l/eyMUPgESEJwzVZTRKD+lzpXJnIQpvx3KoTUTYwJICYOkoH8VxDepPhH2I3iudCW4NchmRc1FRfcVOe4YBHx+vWP2fizEFOq597O6G8TXAfKr0DS90PqNsTWIWWX9jnMavJvIqYKonu0dW5sAwTWaPkdaLOPMZiSk7C2EdKPQO0p2OjemMh2ENmpY8e9SEs9SPYVyL2oLwbW1khX+WUDppDa34i/WM8/uCFEd+/7evnpSP1veP2RdXj10S9ZdOF6DBs5F2KHaIR2mUjghM3hwQW3EgwFWy58x196GLUL6ll3q7VX6gJ0R/8wdI1qvn9U681kc9Fxw5JG/LxPPlegsaaJme9+zsLZi9jj2F2YsMVaJMoGXgSwM5wz0k2MCUPZ/0HyBiT3oapfNv2tXWfEhDdF7Dywc7G5D1aqwrpO8UZpygMgdTeUqpCd2BqtWwAoFuOKbUIKM9VRKz1Hh4z18z86yX9cHGqXw4SWGkNua1RjADBl5/TIEWklAFjwPwaW/xl2hAmug8j9kP5H8ZU8NP1ZJeFNHAltAOFttY0wuLFGx3r7udgakAawtR2uYWJ7gQmopoU/G+pPR8r/0HZicA+R3IcgNZhl60r8L7V9OdBxsaEpOR7JvazTifMfIOn7wCSQ8A5aFBz5bpt6BOsv1FkZyVv1XEEv5JFJEDscL7hy1YN0hSRvQoXownjFeUi9WkcKSNN1kLwRKHDoaZbqsQdD+Y6YoWt0+jsVibX9exg2dijDxq6+2hqrO81FxyxTdLzTgdtxwuTBK1hdFueM9ABjQlByGlKYDTUzwS7Gpp/Bi+3RdjuvDIn+EPx50HgFVN8zSBb3DM8LYgOjtNgx3zo+XBr/WnxkoPYkrAnrYDdThlgtqDKl50Hi2H61R+ovAnIQ2QViP2l9o43z4fduca8M/EZNufSE2E/0wmkX6/PCx/o9uL4WLOdeAykgzS2ngTFI9MeYyPYQ2qxnjklzisT/GrE1HToYJroHUn61RovII4vfQSpv6/3FsLnzZtlojF8snuukYNR4FVD9IOReRXJTwdaCnaey3NnXEBNAyieDWQOSf9T2wtB31BEJjMMkjkEi++MFVvLJtu1gC/MgdR8ApqT3RfvWXwwNF0H2eaAAkd0ZvcUFHLe1S6k4vr04Z6QXmMAYJPwdyH8E9edgbQ1eYplpnNEfQvJalfJelfBGg18HomF1m31HVS2JAWmtnWm+0JpqCO8K0ohkX9PCwn5Csq8VL1DrYcp+37ag1CQgvLPW8ORn6IW+pwTWV7l4yfRoN+PFkdAWkH0XWKD6HJGdkfCOGJogP11nc2C0+NSUa5Fp8hqtfyi/vGWCcNfHqkAi3wdbi+RnYiLbdLitF/sBEhiJNJynx6w5DltyMl7imB6dH6ADzkI+YiIt6Rhrm9R+DGKGd1oEa0wQIt/FRL6LlPwUCtNUYC39oMrb1/0UAltotwlW6ytKL8bED8CYQJcFtistyRshtCl4pRDesVdLiPg6pVlyWpQd/wkmtk8/G+pwrHw4Z6QXGGOgfDLSeKWqVyZvRgJDMdHdWjfy52i9Q3jbwTO0N9g6oBFMsQI78yh4Y0BSUHG7ds3k39OBbcGNwP8cWbyXRkmk0C8D23QmzP3adhs/YvnWzdRtxbqCEKa3Mt/eCI0AFD7vmW3+N5B9BihA5b14EVXWbdXnmLiUBkkWyb6uBY3+51D4BGm4FOI/wsR+3PWxbKM6vHY+hq6dJhPeVCXbG34NwTHQeCliSjHxHkqRFwtYDce1rm2/QfJvg0ngBbpXKAyoExmaiAlNxBKCpj+itTkx/Z2iACYEjRfq+olju+2srUxIYRak/0nLzI9epOZEckjT1drdZWJQ9UDb9KTD8S3GOSO9xJgAlP4KkSyk79Epl6GnMYFiXi77jLalBtcbXEN7gM192lKLQW6mXkjT94M3DKpuxyvKghNqLVIVbyQ6L6JBlUIrruxTvQKApP4J2acgtGWbcLdIFkndC8m7AVSYqbcaE+F1IYMKpfXItnuBAoS2bnFEOsKYiLZ2R3dC7LmqVpq+H6l/QztxSs7Ca68zpflYjZdpG7FXBaHuabl4gXKovB7beCXk39e23+gu3f6ZSGFWa+ppaafAX6DfAyOX36kb2NSUoh7LOAhvD4mT9WeXnYJkntCuocwjSOYRJPYjiOyDiey4yhRcSuofxanKEzscPiZikfwnkH8b/FnqjJlKIKcROn+WOiIUJ8s6R8SxGuGckT5gjIGy85DCNA2lp5/AlBQFnwpfah3BUjNMeoKIr7NUYj8a8H/IIr7qhWSehJY78Eak4RKgHKK7tToiy2C8hEaJkreAXazKrGW9F3oTyUHu5WK7bNvZItJ0s0Zq7BKIHwuxQztZqQsCmwIeEMIWGvCCXY8ZEMlCfrrKvieO7tHhjFepBdCBYUjTtZB5GvxGbGhNTOKny83esIUvIf8JEMBU/LXbbcstxys5SwXqbD3ScDGUX9Xl75GIjzT9FcwQCG2AWUpPRGwdBNZRZ6KHSP4jSN8BNgSRPTGlZ7baEt0FE90FyR2JpG6D/AxV3C3MQZouR+InYWJ79EuL7EBh81+qJL7koeSMltdFClronp8K2SmQexu8kWBEa65Af8+bJzIDBDfARPdyqRnHaodzRvqIMSEkcRzUnaY58WZnxER0dLikerym2BRSdzrkXsKEN+n/dtmlj1WYXVQfLdY4xA5TTRF/BvifAEMhcUana5jYvkhwLVhyKBRmYPMfYMov710KJT9dC/cC4zHxQ1rttClI3ao1ByW/wCSO6ZuTFloPsEAGCh9CsBs5/sxTkHsJvHFIeJce1zYYE4CSn0NkF50wm30d8i8j6QeR+LGQOA7PU6fI5D9GCh9oZ04vhiwa4yHlV6gsfOZxJLgBpishstTtkHlMRdaWcSiNPxvxP4MedoaJ/w1Se4rWh0R/gik9vd2fmwlviglfgy3MgeSdkP2PRoXS9yJNl0HiGJ0V1EOnbIWQvE6jHdF9MKH1kOTdSH66RvckidZb5QAffA9iexbbnUsQk4DwVoDBhDZRHZV+0IpxOFY1nDPSD5jAmiqitXTIP7CGChP587q9joio9Hn6iWJHQ1SLLAcAEYH0P5DGPxbDxWVQ9kdM7EeqILt4X5BFECjHC3RdhOuFNkJKf6niW/kPkfrzMdWdjw9ol+bulsDINvUnUpiuKqxSwCRO7JMjIvlpGEAIAznIfwDRzp0REUGSOgDSxH+M8Xo/0MuENsKUX4JkX0Wa/qzHzzwKyfuQ0lOQ2OGYZrVTr/cdFF5ofaTkVI16pe5Bgmtjoru2u63Nfw5pHcRnSs7ABNtGQKS5k8br/uRTsalWRyQ4AVN2Xpc1RV5wDSj/DWJ/rum61D1gF+rvVdNdSMmJeP08GbkvSOFLyDyuT4IbIov31nRLcKI6IqZUh/hFvosJb1acMdT6GawaSSiHY+Bxzkh/0CxLXXQcRHw0BQCY7gvJSPpxyH8G5MGUYSpvwfRBo0RsE9ia5RQzxZ+nqYL0s0BKh6WVT27ZzgSqsJFJkPmXyp6LbVcefVlM4miI7Ios/j7k38UWFuAFeza2W/LT9UFwmXx5fqr+kw/v3GtHRNNRN0PTTSokZqLatZCf0fW+mTeLAmwgqf8h+a+0xTUwAswICA7HhNZZLp1g/TrIvQmR7+EtoxxqIttDeDsk/S9I3gfMRRqvhuzbOiIdWnRdek3sYP3s0g8gTVchgdF4oXbqmJI3QeF93T524PLvN7dwd7NGx1ofmq7S+hOvClNxY4+iGsYrx5SciCSOhvRjSOp27RJqvBRLDi9xfLfXGkj8xnv4+I0YtUtGM2mfO7R7zhsCsQMw4UuKOjMu0uFwdIVzRvoBMTFtiZWcRhxyr2q3R3gHiGzXvTXyH0PDeRpRiR2ISRzXpwFgknsfqfs5BNfCVN3V+nr6caTh/0AaIbwrJvIdiB+9/D/MktMh8wyQRDKPYWL7d+u4JjgGieymaqyZf7emrbpL4eNia+lmrTaL6N1nYA2I7tHxvp0g/hItMs69qrUPhUVAUWTLn93pvgAkrwDy+ti+CdkArRonMSCDABJYH8r+gBfZVO1e8gMVLyOIDe8AJWfjhdcrnlceabpJh+01p+JMTG0kC2YMhLbq1fk2o3VNFyKS0onENUdiK2/DC7fOupH8DMg8rHfw8ePad/ZsnWqmBEZ1726+6WrITdcJsKW/wATX6KX9YYj/BGIHFOcA5aDxMqxt1AjOIBa45nN5jpw4myXz1sEY4R+fbEr5iE0w8SO0lsrhcHQb54z0A8YrQayG1aXpclo+VhPrVheD2Hp1HMhBcBym9NfdikR0SmCoXgRzC1UdNDgBabpB22JB9RBKz8GE1m53dy84CuuVabSn8S/QTWcEgNiPoe7n0HQNEj8I43VdHArNBX8fg6RbOglECuo8FearKmik5/oNknsTabpFL/ImBonjtUg286RuYL/udH+b+wgKxVkg3nhVqZUA0IQ6NGGKrTngT4faI7GBsRA9AJojHBQgNwVq3sB65RDeDQpvqNMW3gFsHhInQ2gXaPilTgeW+aqK20eMCUHZ/yG1x2uUpPESrKQgvI0eO/eybhgYgRca3/4iha9AajHdSBtJ+nFI3ahPyv/cL1OdjTGY0pOQZBDJfwjJvyFEoeTkFeKQiAjvPvchX06dTSQWZs7M+Xw5dRZL5tWx5kZjmLDVWkjJYXglfeskczhWV5wz0g8YE0Oi+2okIPMy+MVK+cL8LvcVsUj9b1WXJLCGFn721REBJHkrUACq9O67MF27UAITILo7puTUTofCAdoZ0PBrlbVv+g9eSfdmbZjILkhgjMqH596GDuoUlrM5/4le6E0CAsWLYvpfkH4AghMg9guVWe8mIhZJ3QGNlwMWIntgSk7HhCZgvZGtzogksbVnQtlv8dqTOk/+FUhDYFO8oQ+0fxy/EdJ3QurvWoPjfwrJycUtqiA6SSMTUgM2A9kXtU3Wq8ZE923TNWVze0LqFqAAdcdiq+7F662eShHjVUDl7UjD7yHzLFq4O12HOhZbeU1033b3FWmd+il2EYb1290OwOY/gvritODEiXixvftk97KYxHFAEEk/pKKCgTKIH9avx1iWBbMWccuv7+HFf7zKOluM57N3v2SjHdYHETbdeSMOOHMfttu3bxEsh2N1xzkj/YQpvxKJH66dAP5nxVqRHDb3Ll4nd4aSvE2lxQNrYCr+gvHK+2yL9ZdoV4q3Mdgvi3e+FZpKKr+027NyvPiPsY13g8yE1FXQXWfEGCS6G+TeRwqfYOieM0Lyb5qW8IbqMDvJIukHILQ1RHbDS7RTy9ABYmuQ+t9p26Sp0O6Fsv8DE8LWnKoy5KwLfAYI5D6FmsORqjvapMd0gu08rWEp+VUH5+thguVQejpSchrSdCukri2Keg2D4Jp4FVdoEWz2aUj+Q38/wlth4gcvH9IPraspk8JXOiyu5qfYyhvxQmt2+/zbtdMrw1RchfhLIPcaknsDch8CFkKTkNC27aZgjAlC6TlI+p9QezJSei7Ej1ouIiH+Qqj5GYQ21uhWyZl9srfD80gchUgesi8guXcwA+iMTHv1E87f6xLGTxxLKBxkk0kbUj6kjLU3WZMtvj+RiZM2IBxdeduOHY5VBeeM9BPGGA1Hh7fQAtH632kbav0fkCEPtVvEJoWvoOkKIK4TgEMbL7dNr2zJvYTk3wFvLCR+Cqmb9Y5c0t1OmbRQchA0/h/YL7F+bbc6awBMYCySv7m4xk+7d6zsi0Aeqv4FUOzM+UCdk/hB3TZZcu8idWdocalNQtklePH9tIC18VLIPQehbbWINf05YEHmgp9Cao6Eqr+36H5I8kZtcY7ugxftusVW0wknYBPHad1EYSaUXdD6XnRPiO7ZxRrlSP69YhFvXnUpag9DKq7DhDfv9ufQ4fqBaojtg4ntg00/BvVngyzAC5R0vFN0d51YzftI42RNW5X+suX3SSSH1J0DgUqdR1N1f7+o8XZ4DtGdtOW3EO92gXV38Qs+Lz34Ok/f9jzvPf8RG09an0KuwA3vXcHYDXpX++JwODqn//6CHS2YwChMxZUaBvc/1lRFO0jTXwGB8CZ48e5Pju3agOYOnpxekEsuAKKaArF1PVsrdiBaExGAhgu7v194O8BA/i1VG+0EER+bfl4LVAETGIpkX9TJwYApu7jbBYG2MBep/SnYBTryvvohdUT84uupf+qGoa1VEbS5CDWwQbEdexbSeAliG3QgYuYZtSFxUvfPHfA8D6/sLLyq6/GCPVQtbU5F2Roov067fuxipOYIbPIfne/bQ4xfTCUGO5dg16jKlZjS30L4O5D+O7J4byR5B9Zv1Lqe/GsaRar4myrBDiSBNYFIMSU2q1+WzGVy2OTfmfvu8Uw+/BrefW4qIkL1qCouf+4C54g4HAOIi4wMEMarRCI7QX4GknkRST4AJgeBYRhvKCJGixeJYkrP7tdjS3jX4oW1OEVU0sV/3rbHd9aeF8TiATnIvtrt/UxwrAp5ZV9AUg9i2lGiFVuDpB5SGwMji/L5m4A3FElfpWqVkd0x0V26b3DmeaAMguOg7EKMCWkBauPVkH8dMJquyr2iNTSUACmQRZiq25GGP2h6qf4cMGvr5xgYhwl1XCfR34iEIbg5+J/hBYcgVfepMF32P5B5HOt/iSk9q19UScUu0QeZlxF/LiYwusNtjTGQOArCmyF1Z+o04dTd0HQveCHAw1T+CdNREWw/YkwQCW0Ktg4pzMQEe3/Mprokz9/3Mvdd/BA3TqlhjbFT2eu4g6kaPZHvH70TI8f3rD3d4XD0HOeMDBDW5sGmVfgs/TkEt4XCawAqkOaN0vZaU9Irie3OMPk3EX8OOoys2OFhYlD2+94t6G0I9n20ILYHxA/T7h1/FlKY06a9UzLPIPW/guCG2jliojrpOHGcqofmXlWxLBNHxO9Sq0Ekr8P10v8A+RoKs6Dh/1TFFIAQeOuDnarHC4yC+EkQHK8t1fZrCIyFkrNVTTc/HexLKhsf70K5tL+xc1RAL/ojQLu1qPgrkroTUo9D6jak8AlU3th3h8Q0a3/UI4t/iJT9ES+2W+e7hDaBIU9C+mEk/QT4bwDrq/PXi26nXhMcrz/v/IeaRuomOuzwVZ68K8N/7vmYT9/6jDEbjKbmmzoeuX1tjv7Nfpxx44EYr/saQQ6Ho2+s9s6I5N5RUarQRIQSCE3A6w+NgMxT4M9FJccBL4op/S1iF4C/SOtJ8m9q+H3xT5CqG/H6cHe3NJJ5Qh/E9lPlR1sL0d16P8Cu8iJYsjeQxqbfx4tt1q3dvOBYbGBtMFFE8q3TbDPPInW/AHzwyjHlf4ToXhgTbd05MEadkdT1SO5lqLqnw4uD5N5BGn6nkSZTDlh18kxcL7bSqBeu4Lpg1tM5ItH98BIHqyiZroIUZuKFN0AqLtf6BzwIDsFEtun5Z0axxTW8RZsZL93BhCYg/heQno2UnoXx4lpvkjgGCa6pUYnc/5D6c6H88q67ojojunOxW8gHKqD+TGzhWEzi5E5TY8ZEkPB3IPUwkNCZKrGDe29HLzChDZE06jh2E5t+Aep/BdQzf+Z+fPyqpnjECufedRo7HbQdJtyHz9PhcPSK1doZEcki9edrCypAcDMghE0cgRfrvMiwM2xhrrYd+nMgPAlCG2PiR2ICQ9p0K0j+Y61jCAyDunOQxBEQ3a9PxXjWZiHzPwBMdG9MZNter9WMF5qAZQSwADIPQDedETVIQKZB8nqk/FIk/z7UnQ/4eq7lly0X9RDJtR0eVvhICzpDE6HwJZL/AEIbYaSgQ8iabgTqdQJqaEPI/Q/CW2MqbtDOnsJX2lYb/f5yQnJeoAJLUcAs+3prJ4s3BOzXmPB3ejcOvulGJHUXkEDiP8TEDtHC0e7gjdIvOw/y70Fkh5a3TGRnjZLUngSZJxBTVSwk7d1dvAlurJE6KH52syF5g0auoj/ERHfBhJavJxFbjzRMhsJ7ENkZU3HRihcgC26o3/MzEJEujz9n5leMKP0dXnAMyBgmHbABYzfZh413XJ9Ra/deYNDhcPSd1byANYQpOUUdhmBRItvOg/pfIJn/9GpFkQLU/xL8hTo4q/JGvNIzl5vKCnpnR/WDxQLF+Uj9r5AlP8Hm3u31GZnCDJAlOqa9FwPWOiS8GdoC+1y3d5H0v8ALAmEdD1/7M2j8KwSqIXYYpvyP7XcZSRDCO+q8nODGOkW28Wpk4VZIzYGQugtqjkdqjyy2A28Ikf0xQ5/BlF+prbyF+UjmKQBMcE1M4siOFW29Yp1E/kP9nn1epdHD26iAWy+Q9BMqeGbKVPxt0U7YunOwuY+73NcYo0WiZghSmLv8+5EdMRXX6meUvgepPQaRdK/s1KRhEPAg/iNM+Z/AjATxIH0/smR/bONfiiMOintIQbuVcq9AeBdM2eRBmaorwXU12iW1SGZK59v681g882pO23s9vvlmS6h+kPW2P57dj97ZOSIOx0rAau2MGONhYj/Cq7oVb8i/MdX3QXhLQJDkHSrn3UN08Nm7YAym5OddDwYLDMVU/g0TP0rFvmwN1ByBrf0Zkn5Yiy97RE6//K/p1x9vfH/9LrXYQueKpQBSmKPFoP6nENoGCEHuBe24MCWY0nM6/GxM7lm90AXWhMie6lwtnYoIrAFeiQqjhTaG+IF4lZdjvIpi9CGsU4cbL29zEe0QE9HvhZnFgXjXAwKhTbVeo4fYhj8BAcBAyTEQ2gTI6TC87H9ah851hSzGSG37Jkd3xZScpmmp/PtI4596bCeA5KaivycWQptjYvtghr0IZedqJAqB9KNI7SlI7m0VeGu8rKhmG1Gp9+5GfPoZz4tBYLT+/JJ/wtadjdia5baT/MfIkoPZZIsnOe2yCLGhP8PzVut/fQ7HSof7i1wKY4KYklOBkI4ET/esjdKmn9A5I4Apu2S5AXUdHzeMKTkZM+RZiP0QsJB9VmsC6s/BZt/ovhGB0YBX7HS4t0f2d2pjZBe0xReov6TTba3NIvVna9tlaCtM1c0qdd6yWBkiTR3uL8lb9EFkB7zSEzFDntLC1qoHMNUP4VXdgTfsFbyhz+BV3YUX26ftAs1aKnYekn6y/WNIDsk8g639BfhLAAP+HCT9THFwXhAivVQPzf5Xx7GGtsGL7aN2Vz0AZg2N5KQf7XoNTy/wYtt3RgBMeHNMxVX6JHUfNt+9FlexKU2z2AYofADkwBuBF6jQdY3Bi+6MV3kdBNfX4l7/K6TmMGTBlpD6N2A0xdZOCmeFUpgJktTvmceQJUdjbQYAsY3Yxr8iSw7QVu/gOmywy++oHF4xuDY7HI7lWK1rRtrDBNdShcnMM0j6GUz8kG7tJ/lpUH+hRgFCm2Jie/X82IEhmNIzkeg+2jKZnwnGg4bfYWMHgpfA2CTizwV8LbyVDER2URGrwBqIxKDkl3rBa7oGCa6hdQZ9xBiDxI4udi+8hM1/gRfqQKI8/TAQgMCYYirG08LdwNrgLwbSsOQnSOUtmGUmyIrkgaDqgBSnx5rgWphuyqGLX+zMMaNUryN5OxL7QUuRp+Q/VSnx/AyN0oS2AhPQbIUJqoIuCTAWan6MjR+LCW+p24S3wTRPaO6MQDX4dZA4ouWzI7yp1gRln0ck1/WwOa9KP4OWbpf2MZFJSGR3jag1XoRU3txp7YQtfAmLDwKKM3O84VqfEj+8/R2ie0MmoEJmBIFk8WsMEt6te0PzBpLA2toCHt0TUvfrz7Dpb0hoHY3gSBgw2iJefkm/KBw7HI7+x0VG2iO6f/FBCusvH/ZdFpFMsTukvjiI7Rd9OrwJTcAr/wOm6joVdPK/UnXS9BNI0xWQvk+F1Pwvwc7X5/XnIou+C/WnFTU0FoDUI/0pklV6JpBFZ6aciohdbhORrN7959+G+M9Vb0RykHkC/M+h/BK9sNkFSM3BSHaZXH/hSy1eLXzc4y4UKEZVCh9BcDTYWeB/hKTux6b+hV1yALJkH0jdDiYM3jCtuyj5OSAgteC/B8G1iuqnPmSfQep+itSehKSfRWyyayMKX4E/HWM/X8a4VHFwXjcu4bYG8m9pJ1AXmNKzdACepJD0Y51v3Hh12+NLUjuPguu2v31kdyhM01qqNq3dX8Pi3bH+4i7tG1isfk6Z/0BkN7U1dZNG5uwi8MJQcTNe5bXOEXE4VmKcM9IOXqBMay7y72H8r7reIXm7Og3eMEzFFXiB/gk4Ga8KM+RJTNlkvUsOrgfRfVTiPXEcpvJ2TOUtEDuA4q09+PNV5EzqgRjk3sdme18QuzSeF4SS0/SJ/wWycDts7sM220jqflV59YZh4sXokK0pzmkBE90ZU32/KrRKCqk9E5tr2zkDaKtoD7uKJD8VUg/qcUpOxSSK+iBNf4bGS4stoEGIfF8LaIdOwSs9FdpEjiym5GS86vtUlj60hRbREoSGs8Gf3bUhzSmWpUTiRET39T+lpd27M+wC/V6Yh224Elv/a2z9+SQX3MuHL72vDl4RE1wLSs9SB7DxYqRZVbU9TEiHDlbchhk+DSQP/qftiobZwiwdBdBm/wqIFNNi9mtYtCd2yS+6Pp8BwlRcodOR829C6m/FV8vQ4vQzMUP+jRfdobMlHA7HSoBL03REaCL45Ujhq05HoIutQXJvoUqq5/T73ZfxyiB+QKf30s3qpiJ5RNCLRG666keYGDT9EfEPxsQP6Ls9iROR7P80xSG1UHMitvo+vNDaWiyafUVF3BInYYqFoZL/AIITVRGWYHGC7C2qKlr4UsPqFVdhvAqkUEznhCb22DZJPaR6It7wYjfRllCYA5mHtZYmdhgm+v3lO5ukHP1TKADDEVsPqX9iMEh4R0x4G51RIxnEn9N1nUT8MGg4Hy1ibbbtbj3X8HbdS+EF1gFTBYW3QL5RbRQgufgrXrjnfTbe8DOoul0/S8DEj0Ayj4O/WGf6lF/ZTsu0hfwsIKkF1iaEBEYCUcQEW3VgJI+k/gmpe5aSWg8DAtWP4AVHYZvWg6brgHrIv4ytPQVT+ts2wnYrAuNVQfnvEX9mazdUYCMoOR0T6/scH4fDsWLo0a3nhRdeqOJLS32NGNFxW9wxxxyz3PbGGDbaaKM+Gz7gBNeGwid6t9kJ0vgnTYuENoMORrCvKIwJ4XkhvOBaePG9MVW3QniHYrfFJYjtOuTfGdZmVCY9/xotxazUQk1zcaqoLob/SbGQtqgZ0nQbFKZC4uiWaIcxIUz5xVrfkXsZSd6pS+TfBP/zNjUiIoJtuBr7zabYxQdia3+BXbw3dtGu2EW7I+nHEX+R1rMUZkDpb4q/a1FM2XmYqn9gqh/DSxzabos1gSitfwp1kLoXafgt0vAbSN6INJyvF2XbCKl/IflPOv2cTHQPwEDuRXVW/cXQeLkWi0b3wwTX6caHXVtM69RBaDtMyVmQ+BmLFn2H7x+0CArTkNoTWiIkxoSg/E8a6cg8Acnbll/T/wJ8dQxNYEzxw02BPwPjL9Kn+ala8Nn4+2IHU3MXUwHKbsULaurMKzkZhkwBbxsgDdn/Iov3wjbd3CZqsyIwJoypuAESJ2Mq78Abejuec0QcjlWKHqdpNtpoI+bPn9/yNXXq1A63veaaa9ps+/XXX1NVVcWBB3Z/FPxgYZpz6OkHkeRd2Owby/2TldQDkJ8G3ghM6Wn9Ojm0PzCB0VpPEFwHpAlp+lvXO3WAiA91p2oaiEAxcjEWCILMxjb8UVt1mwW6ci/qfg2XgCyG4HqYWNufuzExTOJIfZK8GZt9T50JaKlhsOl/IzUna7FucG0ofK6OQWGmisrZBUj6n1obE9wcqMIsNaTNmDAmtF7nglh+LdoSDQS3h9D6ENlVC4NDEyGyk54zKcg9D7nXO/2cpNkRiO6jKrD5d3T94ARMF7olIoJN/VPrgMhA7Ed4ZWdiSk7BKz2DjXb5BRvs9BtNl+Q/hEyr7osXHIcpPVPXaboau8yARmn8CxCGwMjWTq+iUyKFz4qdJwfqz8BUaBEuRf2S0l/jxdsK6HnBSrxhd2OGPAah76i92ReRxfsh2dc6Pc/+xgSG4JX+EhPZfoUe1+Fw9A89TtMEg8FOoyFLU15eTnl564XhkUceoba2lmOPPbbT/bLZLNlstuV5Q0NDT83sO0sV9EnjxRDaCjEJCG+BeGto1CT1D6AeIj8ADGJTK908C2M8KDkbqTsF0g9jTTkmtjcmOGa5bUVy4M9GTKU6FoUvNMLhDUGSt0PuNSAClXfiRb6jmhyL9gb7GaTuwJo4JvwdFRsrzMRm/gvph4A8VNzYvh5FZA+96GdfgPoLdHidSUBoI2zTbTq518Q13WTiUHE5ENJIgAkjyTt0gJxF1UC9MUj9eTpjpdiq2iX+p8UHHqb6+uWcShFBFrRG8yT5KCZxdLtLSdMNkHoUEAiMwJgo4s/TN4PrduoUia1FGq+B9JPqDIQ3wZT+erntTGgCEt0d0v9ECp+3TeHFfgLZ/6mUfv2F2NJf40WL82LCW2shdOombOJwvMBQ1WzJvwNNN6EOWUA7aGwccsXi59CueIljOrTbBNeBqruR9KPQdLW2VNcej8QOhJKf63EcDoejE3rsjMycOZNRo0YRiUTYZpttuPTSS1lrre61Xd56663stttujBvX+WC4yZMn8/vf93KoWz9hQutC9UNI5r9Q+BgKc0HmILkpqqopPlpjEIDs00j2aSCIRPfHhNaGyPcwwTUH9RyaMdFdkfhxkHtLZ70kr4WSU5Hgeqo26s/Xjors8+g5RREyzXsXFTnnqeZE4ji8yHf0HWOQIQ/Dkh9qx0/yFiTyQ1VMJQwNF2iLauwwvOjO7dtmPCi/Cqk/T/U5CKnjl34Mmi7T5wSg6hFMaNzy0afASKS+UR0lMwzsV5Cth7rjkcrbulfD4y8BYkC04+hW6e+g8SqgAezMdjeR9OOQvAaCm0L8F5iYpu0ksIZ27RTmImLbPYbk3tWZM3Y+hLeFyJ6Y+CEdOy/BDcEMhXxbRVdjDFI+GerPBclCwwWIdxUmvDle4khs5lnIf4Dxv9KxBZlnAU+PG1xXu538+dBwYXHFEXjVN3TxAepxTXx/JLprUfhvpqYvFz+NlJ4OsUO6HHbocDhWX4z0QGb0qaeeIpVKse6667JgwQIuvvhiZsyYwbRp06iu7lyFcf78+YwZM4b77ruPgw46qNNt24uMjBkzhvr6esrKyrprbr9i/Rw0/AqyTxWdkbTqGxAEL6p39PYbCKyluXmA8PaYoqS4CQzuGHIRQXKvQPImyBVF1ILrQqEYFQhuAoUPNfogFsgAEbSVtwQoqNpm4rjl1rY2DUt+rK27pgxEIDBEW4+90SrT3oVcuM3NgJpjgJQe21QAcaAWJK3FkYmj2j+3/DSk9mSNBjAMqAEKmhqqvL39OpGlj930D2i6GIjijXir/WPYJqTmOJWJNyPwhr+krydvQ5qu06JZSetE4MRP8YrpEt03qW3X0ogpuxQT/0nb4xdmwZLDQBZBYE1MxZ8xoc7rqiT3AVJ7IoQ2wFTestywPJEc0vB7SD8A3lBM9aOYwBDsoj10gGNgE1WpJYWGlSoww6cg+U+h5iC0OysE5X/Fi+3aqS3t2pefijTdqFErgOBGqvMR2rDHazkcjlWXhoYGysvLu7x+96jIYc899+SAAw5g4sSJ7LbbbjzxhE6HvfPOO7vc94477qCiooL999+/y20jkQhlZWVtvgYT1c64CrJPAgKR7WHoS3jDnsUb9hTekIfxhr0E1c9qJ0V4e7SWIo80/VnnktSegc28qGsNAsYYvMgkTOVdOr/FG631AvGjMOWXQelZmKEvYYa9B0NehuBWqCMC0ATxI9p1RKAoy116vj6RBqCxZfigKft1p46I9fOIZDCBKhULIwOmWlVUE4dDybm6bONfOtS0MKGNMNWPQOxwCA6HxOk66E5ySOOVS03m7YBgVfFcO04Hqix88fMIDFObUg9pHYY0Ftup0/p5lpy+zL4JbccGpPFabKa15kREoP7/0MGB+2Oq/9WlIwIgwYmAB7nXtLtpWXtNGFN6nrbx2hTS+Bc9loxAxwW8jYqXNf8LaEAKDVBzJDSPzgvvionu0qUt7WFCEzEV12BKLwDiUPgY8Re0q03jcDgcfWrtTSQSTJw4kZkz2w9bNyMi3HbbbRx55JGEwyt+oFZfEP8bTSHYep2pkvgpJE5oN3zuhcZB6ChIHKX5/+wUSPk6q8bWqlCYCSPhHXSIXmRHjNe5wmZ/Y4yB2H6Y2H5tXy9+FxF1vKRBnZXQNpqC8bqYPxJaH011LD2wraLYWQK20ADZ5wBRR6XwIeQ+heAEpFCM1HhjwVsDonvhlZ1dtKeA5F4Gm4XUfVDa9kLfYn9gCKa8VRPDxnaDJUdpa2/d6Uj5Je3WyehBwkApXf45iAVKVBQNEBPX6JJXDaXnYIyFwLjl0hE29Rgkr9f1pQ7qTkZKfwGxgyD3sqZIAtU6y6ibs3A8z8PGfqRFrI1XI5EdlouOGK8EKf+L6qzk3kcW7aTRu+aIV/Rg8Bsh/wRgYcn3oTk9562HqbyyT5N4jQkgsX1Uh8dEIft6r50bh8Px7aZPzkg2m2X69OlMmjSp0+2mTJnCZ599xvHHH9+Xw61wJPsqUn+WinYFJ0LFdZjIdt3a13iVmNj+ENsfKXyJpJ/T9I1dCNlndXZM/dlIeBuI7IaJfAcCa6/4MezLknkSsi+rrHbphZCbApm3IbxV5/vVnABE0ZqTfPHFOuySX4LMUucDtM4BD6Qo6tWixeGBNwIKb0LqNmxsH7zQ+hgTRCKToOlvkHwTKflZt2oPvOA62MoboelPkPsfUnMoEt5RlVdBHQhJq8x7oQnQtmfbeBN4cQy+OhsYfSwF8D8DfLD12Owr6lwV3ofwth1K49vaXxQjas2UATVI42TI/BfyRUcs8bNuzzJqxpScgizaXfVeUn+HdtJYXmhtrB8DO6P1xcB4KL8ciEDNHkttnWl9WH17i05MbxHJIbU/V90bbxSUnNCn9RwOx7eXHjkjZ599Nvvuuy9jx45l4cKFXHzxxTQ0NHD00dpZcN555zF37lzuuuuuNvvdeuutbLPNNmy88cb9Z/kAYq2F9D16YbY16iRU/LnHF4tmTHA8pvREpOQEDVdnnivm0vNa5CdZpPFCiOyOlP8Zzwt1tWS/Yv0MpG7RItDCDE07JE7Di07C5oopAMl3uL+Ido5g50H8dLAVkP6dvpn/d+uGpkwjKMENMcHRENoMYSgmEAETU6n1RdsBMag5CTv0KTwvgYkdjDT8EU0vzGqJTHSFF56ILf2VpkEKH0DmX61vBjYEv7n4c0Lr68krwQxFZBEExoIIYr9WATKKE4BzL2itjZ3bcl42/W8IjMMLb9L6udb+tLU+xxsOFddiQhMh/Y9i+29zFGIkJtFzR9145VB6BtJwoc5hCY7DRHZqs41tvBUKU2hNx4TBHwH1Z7bWNrW3tl2odT+9xFoLjReoboxJYCpvxLiuGofD0QE9ckbmzJnDoYceyuLFixk6dCjbbrstr7/+ekt3zPz585k9u61cdn19PQ899BDXXHNN/1k9AEhhNlKYh5H5kHocyGqnginVybO9dESWxhgDoY20JqD0DKTwGWSnIPkZkA+qQmntEdiyy/BCa/b5eO0htk6PU/hSp7b6syH9PARH6IwPgMBamJKTikaXat2Biba/nmSQ+kuKdRNJiB8IdVe2f/DKp/DCbS9IzXEgW/9ryL0P3hiwX6gY18LvYs2aEBmnNS5eCCl80e2heXou64HUaLFxaHtMSEW7JP2iOgiB9SG0MaSaU42VQF4jOLZBNVpCEyD/haZYiKjeiVcFtlSdt+x/tOPKG4LEDsDED8bWnqGOiDRBeGeouKF1bH38UIgdgthFGLsIAmt0Oz2zHLGDVYMl+wrSdA8S3Biv2EJt6y9Tp5osMBodjtcEvAi+QR0Uv3Wt8vsheyfkP0Ey/+lbsWnqdih8A3iYiquXG4jocDgcS9OjbprBorvVuL1B0g8j2Rch8xSEtod88zyRMh17n7wCAFP9uLb7DhA2MwUafqMRiMBoTPlFbQoZRQTJf4jB16nAvWiTtNmXofantAh8hTbRmgNTBpKB0gswXhgiu7S0xNr6/9N0hHiY6tvbqIeKvxipOUjFxzBQ+mtIfgT238sfHCD8Q7yqK9q8JP5cpOZI8L8p2hEqTr1t27JKYH3tMo7t32EhbYfnXT9ZNUjC2+OV/kJfqzlJW53Lfq+tvcnJqG8+GpgFga3Bnw4l5+KVHIytPR2yT0P8Z3hlZ6jtIpC+H8m+DEQh+ziQgPAkyD1dPOedMJU3DWj6TSSD1BwDtkm7oSpvhvpfQu4lVCk3QNtaHgADibMg+SlQ/HmV/hmCQ6D2SCCOGfY/Lb7tqT3Zl7XTBwtlf8SLdy705nA4vr0MSDfNtxHJvaWOCIBXoZ0w0f0x1XfilZ6oolyANF07oHZ40Z0w1Q+og1D4CFnyI+zig7H5T5Hkncji70HDH5CaQ5CagxDb1KP1xZ8HmZcBD0y5DoALbQHR/YopmByYuF7si46IiGiayi4CWYDUnoy1WSR5D7bxCqThAnVEvGGYylsh9fwyjsgoiJxMS11I4b3l7Wq6qXgRrYTKuzDDnoaSn9JmsmzsCAhvDoEJSLTztvD2MJGtdLZLZunajRCENoVAJSRvLb5WAL7Wh/5bQBMkr8UuORAkCIEt2iieqrbGoXiVf8NUXAWRg/VzbHZEiKnY2wDXAans/fmaJiu8D4u20fQfqD1tHJHmP3nROqhhSzmH6Tsx4e8AUQhtqDU13URbx9/E1v0SqT0BsBA7ABP7UV9OzeFwrCas9oPyTOT7qjIa2ni5fDuAKTkNyf4Hsi9iC7Px+iFd06EtgZFQPhlp+K0qktp5UPtzxH6lG4SGqzhZfirScCkS2w8T3qZbFztpuk41J8wwzLCX2+xj6yfrXX/Ttdj8W1rgaOdB4SuVdffG6FwWfx40nK8KqxQAD8KTMGXnIU0Pg/9m6wFjZ+GVn6Lr1y3Seg1bv7xhtlaLG00CgutgPA+iuyDpScULqsVE98BEtunlpwoS2AZCO0D+M2zh66JE+3SQuWAuARa2bmximm4CIKTpp/wC4AOgCkp+1u4xjDFI7DDI/mOpV9OwcGtsYDREtoTIvpjw5gPinJjQJlB1L7LkEJaLgpgSTRc1nxMAWS0WTl+POn4C/kwk8wxgwTZ0qc8CYP1GTPZJJPuSFmaHttS1onthyi4c/IJsh8OxSuCckeguQMfthia0LhI7QkP6yRug/NKBtScwBEp/o9Nr/U8Ao+2iieMh9kPIf4o0XantwpkHVUU1fjgS3BQTWr/df/7WXwLph3UabulZy29jazX6QRDSj6DdMAV9L7A2Jn64SuE3/Bky/y7WWoxURy5+MNJwLWTuWOokdmxxRACVF888BtRj/bq2Mu2xQ6DuHOALjCkAYYwJa+dL7n9AAsF0OrW4K7xQGTYwBPLvYDJPIuFJEFwDvE2LnS5RIAJDn1eJ/+RNEBipqaPINpBdALwP1GMSR3R8oPR1xQeh4mfoAU0qLpaaoQP4TCliSnSwYmQfiO6C5/X9z9BmXob639HGEfHW1hZtLw42ol03gdFQcg40XgTJe4qaKUUNFUmqkxYYD/4nSGFOh1N4JT9NJ/tmX0LsAlRkbgKENseU/X5AU5oOh+Pbx2rvjHQHE9sHSd8N6U+QyE4t2hkDgdZQHFpUE41C9QN4Sxf/hTeF0vP0DjZ1JxQ+0XSJNxQJbQjlV7SMlQewuQ+g6Vp1IEwQE9mt7fEKnxWH2hUgfpy2iJKG2GGY4FpIdD9MoALERzL/Br8a/Gk6oThxLNJwGWTait6ZyjPaPo/sgFAUu8r8C5aq+TDhTRDUERIpFFNDKch/hRZXJoEC1haKTpTXq7ttE9kOyTyKpO6G8DZakGsCkPoXkNcOH68UIQfUg1+M4pgoVJ4OtccBfufHzr6s3yO74FVei03/F+rPQduGi9oe0qhf2fka/WrIY71hUHkDXmiDHp2TtSlo+iukHwSpp03WNXoKRNaF+l+DTUL4e5D9t6qvpv+lka/AetrCTWPrvpmnIDgKfJD0Ay2D9wDEpiDzJJJ7vehcFol8HxPeAoke0P15QA6Hw7EUq30Ba3exDReq6BZBKL8SL7ZXvx9DJIvUnq6to8F1MBU3dNrFI7YO0v9C0k/psDdJQ3BjTPwgJPoTDCmk4XIoTNf2yvIL23SiSGE2snhvIKsy9tX/hoWbAXnM0BcxgVFtPwM/D01XQvp2fSHwPfCfb93ArIspObh1Eu/S+y7cWS+Aoe/gVd/T9r2aX+g5Y4BUMa3QLFNeJLRlcfotENwYCtPQC6inDoM3BOyC4jThUhVqCwzVO/3gBMh/itbFRHSukAkXu2OW6iYxFVrIu7TeBsMhtA7ktcXZG/Ep7WHTU6D+RH1S/TheaF3sgp+BvABmHN7wp7CFJZB9DDIv6M+kRY03AwyDioswkZ27dLZs9h1I3qifhzQuv0FwE7whD2Lrz1dHJfxdCG0NyWv1MzZD9JheDG31nY1Gwox+5iXnQdNklZEf+iLi10DyNsg8oOkebxjYOojuhokdDOFtXTrG4XC0S3ev3y4y0k1M6e+0aLTwGTRMxqYfx5T9qt1heCI5revIfwSFLzGxfTHhLbs+SPImnZTrDcFU/KXLdmLjVUDiOEziOCT/MVL3c7AgyQcg+zYS3Fi1JExMBdsCbdVepfCJXrxNCabstwhpLerEIKZiudSIFwhB+XlIZDMk+Qjkl3JEGIcp+VG7jggAgYlaqCq55d8LT9A0UUuBq4EuEzOCOhK+zsKRpDowucXAF0CjFp1KXWvLMhG9kPqfQmAbaFZ+baG53bUEbYGNAgsh31xv0cnQvaabgVLwRqoj0vBHkFeAQtGxAi9YDcFjIaFTq61NQtM9kLoaSKoyK0EkuA5E9ofEwXjFbhZrs6rimn5aRcRahOViEFoPAmsWC3SDranE2GGQfkP1Y3JvAiFt1U4cDMHvQMO5YPNghoMYYJF+run/aGeZPw9ZfBL4b0B4O42uUYWJHYTEfozXBx0Sh8PhWBrnjHQTYwJQfjmSvBGyL0HuOWTx80hgHb0QhMZpODz3XlGpswChrSD/NpK+T/UnSs/BeFXtri9SQNIPg50DpZe0aaHtFsH19OLTdK3WBWQfg9zzIElM2UXLOSKgzozk39aalOBYsEl9Dhg6DpiZ6J5I/R/bvhjdQtM8HWE/QyfeLt+SbBInIeF9IDcVIutpMauEoe5a8O+D0I5QeZXaJIJgi66KBayqo4rVItLsa9A4GQiDKU78ZQx4AYj9BMJbYzwQa6D2ZGAxUIYZ+jSCQOoBSP0TAhvrz8LOQ52TJFCPiCwXBbC2AP5UIA3RHyOSBrtYnxPoUKTN8xJQdjKWjA5g9L8ACqpdUrgMkn/EUlY8h/ri+QaBuEaDYodA4hT9vBbvqu8HxuMV6zW88MbY+I8g8zpQA3aW+nC5d7WGyH4FVIEMBTNXnTeawH8H/GFo+uYbtcnEofR8TGQHjPGWcxVnffw1V59yE6VVJfzhkXM7/j1wOByOdnDOSA8wxsOU/BSJ7o40/hGyUzQ14M9ske4gtDn4BRXFCo7X9EH2aUg/ivjfQPnFmMDoNutam4amy7VN1lRi4vt02yZr03rHnLyJlrSGnaPfJaltvMvMoWmhefy8VxQiM7HWzov829BOdxGAzc8Hmb/UKzHw5yC5N2CZ7h6xNSrq1izDbt/BfrMZVE7Bi2ikwZgQJjwOwuPaHEfKvo/U3gd2Pp5X2fL6shfCpZ9L/fnoJFr0ZxP5PsSPxoS3aGOXJiSa0yQBZMmB+jMrLAAWQmERrUWoC1rXtz4msMyfTepu1PGIQeJUjIkhJeeARCD/OhiD9XN4gfbnMqluyRlYfyE0XFNU523uPGpveN8QKD0Brzj91zZeV3SagLLJbT+b0lOQ2NGYgEEyU6Dh1yrxj0WdnBowVm1n0VJ7LtVhVH4jXqz9Iu9Hr3ua5+55iQ22ncBHr8ygYlgZqaY08ZJYu9s7HA5HezhnpBeY4NqYypsRfyGS/wRj5+gFlyxE/r+98w6Tqsj68Fu38/TM9AQGhpwkiyKDBBMKKIo5YUBkZXXNOYG6a2LNi7iGdXVZlTWskW/NiAFMiIKIZFBA4jBM7Ekdq74/6k6CGZgBJiD1Pk8/3X27qm7dmoZ7+tQ5vzMG4eyqVTXtm5+K/Igq/RdEF6MKb4WUxxGONgDIyE9arty+T4rEaxCifv+RK6UgeAdEfwFnH4itRCReh/KNhZK/QXwrwj+hzvFU7FedOeE9QZ9bWCjf2VD2Fqp0JrgH19634Kpqb9KBPL0VUjIVZaVD4G8QmY8qfQqiS7R2S2wFlSmklEHB4cjkJ7ES6g4GVri0x8dqU6/1kJHFOgMGoXVLnB0QyXch7Cq7NduupSrzJFWrvkp7m8LZC2KrwOqsPQKyCJR9s49u0TLx1QnNApzg6ITl0EaT5WyDDNwHBZfpYnSxpVqnpLbrVHFU6as6uDe2jKp6PdXJAN9JdvmAGMS0YqyUEkKf6Gt29sXy9K7RSwgnwmV7xbzHoMq6gLMnwj0I5RkDeWdoI0z4IOYDVaGg7ADHYBB5elurjoyz0qJSwmVhpFJ4E70MPSULn792tV6DwWCoC2OM7AXC0bryRrerCAfhHgiOv6AKr9PbNgWXQNrL+qZScAk4e+u4gpR/ILwjd3teFf0ZVf4ehD+zvSlpEHgM4clCCJ+ey25SkJVS+iaqCvT8KvCcDuX/Ayux1quSMg5ymf0uAcjTOiTe0VA2A4jYQbFU1W7Bobc94jnU+MUdvBZZNgBSX8Ny1LJ9I+y4FkctcSa1EfoYpH0zdQ/FSp1Wd9vSp9HqpB5IfUh7k4puAvyQNBkR36K3f6x07d0qOM++lPDOY3lG63iX+CpkaDmwHcrf0OsTWwVqu67R4qlpjMjoeih5WG/7Cbf+PoCOa8Frb2mtA5KwMr/RwmKlz2lDUxbotpFvdBVk0QaSH97l8ggrCdGqSpROADLhXCiZBqK9nidt0J6guH4dmwdlL6J8p+4U0AwQCUVZt2QDRduDhEpCLJ67vNatLIPBYNgVB7wCa1MhHJmIwN/0r/zYL6j8S1G5Z+utFFkKqS9i1ccQif2Gyp8A4W9sGXYvIuk6LO9R9faoADrbRBVAhfehgvD/dNCn5UXUVo+m4E9Vrz0n6WdnT6zk2xBpM3SApNyuU01dR0DS3eA7E4QCcsA5oOZ4sZ9gez9k6TvsiAKtEursvtvLUUpC+fvaIwJaW2NXxJYAZeDqi+UZUJVlZPmxPEcgEs4Bz5G6wF7wvqp+0VU7DWUlXYK+iQOFF0Dw71oALPyJnTHj1mm8gIxtR5b8B7l9JOSdrA1KonaQa1tIegSRMQer9SxE2hQgDlYSKr4FVTJNp+Xaq6OU0lt0hMA3GsvdcG0P4TsLcGgBOGJU35Ii/gE6piRuFyrcmaRUXVMnEtYBtePuPLuqBo/BYDDUE+MZaUKEsyMq9UUo+IP+xUwURDokXoaozI7YNarsBW3AOFojkifpIn67u/HWNk54rn7hzqosFa9UXKeCAsJzzE59ZCwHoraWBi57W8MBcS2hLtwDUQnjoewVHasS/VY/RFpVCmpFbIPugTY5JBRPQhZPhVbvYzlT9KdKomJLgBBSRiC2HIFAuA/d+Xpiy0DlUPWV3s0vc2FvXUg7JsNeA53aC7L8I719ZnlBZlf1C6/WDqHq6yJLtWaJArB00UHnQITvXFT4J50SGy9DZo8ANlXrmajbe0dC0m1YO3ke7CBimatjWuR2dCE/F4S+R7nf1bWFcDW4Xk9NMoBspJTk5zjJzxFMvbkzY6/azvqVXib+eedtLoAP//UpH//7c9IyU+h3ZC/Ouv5kDj6qYVopBoPBAMYYaXJE+ENbsdKH/kWcB2X/RRXdgkoYpzNuduXhiCzWN3ffBbUaDPUmPBdcQ8B7TuUhFV0FOMHKRLmG7nw7zz216rWjP0TXUBmfUXF9iVejfKdD6QsQ76i3HqIL0XEQbn3zT7hUGzAyH2K5oNbZvXMgdzDSdwNW4CqUqz84s3S8Rc4IcCSj5GZU8iNYvpqxJiLyPQqfVpmVG6mSPa8D10CdtSJz9bXLiDagHK2RsXwIf6ezcVxDQW6F6Hx9reEvkOHBgBuBBOJQPgusDiADWrE1+VosK1F7LiLLbcOzunaJpasQ+y9DJIxFiNo9CUpZILrq7RNHF+0higJqObAVgrcBXvCM1qUE6olSEhX+THvXYsvQGTPw3H1teX9GK3odVkJCYpx3/pnBL0t9jL21L0nt76zsX1JUyttT3+fl+9+ifY9MRo47mj8+OA6Hs+HFGw0GgwGMMdKkKFmCKp2h3yRcBiKq9R+sNEBB2cu64mngUSz3gFr659s3D4HwDNvzeYRm21LrTkTqE1UfhD/S2yvuoVhWzcwPWfQ0UFB1IP5j1WtRlQYshEsH8Ab01oYMzYGSODgCoBwQ+UTHYXhHQv4FgAWtFkHuKYAdY1I+Dek6DDzdbCXasDYU4pu1YmjwQaTMx/JfUHVN8Y1AGTiSIV4IkTU7xS7IeL7eynH1Ac9QKH8JVCEyHkLIjShVBHREOBJRodd0p+g8nZWDF21QrILiZ0Flo+J2fIqzj/4bJt+D5RmAjOciC6fY6ymoYYi4joOk27Hctaf7VkdYTpRaByRC8n1Yru462DX/Voi+T6XnJLEObZc6ULIQCm9Ex8wocGRBfDWWFQcUS+dVFyZSPHFzEne8avHNu9/xztT3URJikShOt4MRFxzN+LvPNTEiBoNhrzDGSBOhZD4qOEXf7B0dEUlXIETV8qvw16iiyaCikH8JMvEahP9ihKj6ha+i69HCVYkIa8+VaFXoA7AyQXhQBVfoWi1We61WCnbl1h0o/2fN964s8BwDJY/rLYq6iC6F2AJwnKS3aEQrKPsAlAucfcFKw3L6kWn/gvwrgN90v+Al4J2ggzkdbbRWh3+61gCJzofiu5Hx7ZB4NZbl0KqqYGtlAPGFqO2jUY6OCN8YVHy7TsEOzQVnF6AdOmQqDsFHUcqu1isLUdvOomoLyQJHZ0i6A4JP6wBZmQuOTDvoVOnsmsQbIPYrMm+cziCq4QmpwA/eE+tliNTASsRy6bgZIRyQ9jfUtrlAMTjaY7n613soKeOQOwqdix4B3FgZrxHecgGnT1zExl88fP9pdS0cwbf/+4EHLpzGivm/IONx4tE4viQfd756A0edNbRh12IwGAy1YIyRJkDFNqGC9+mtCZGISJpUwxABEJ6joNWHqJIndH2Qkqe00ZDyOMLZWcdzBG/XmTfVNDf2BBF4DJU7Rt+4o0shukzHUKhCHTC6gw6KpmIrwQEJExFJt6DCs7SwWy3tlVKoslegbDq4Buj6NOWfgvpVx4+UPqi3QNyD7A75VGlrAEgIvQCuIQj/hQivHSybfB2q5DntCYn9DMHbUIFHdC0Z0cWWbU8BwvZ2jRMVnKy9MTIC+O0045+rrin8IZAHOO2YlgoZ+lTwnqTTra1EpPBpQTWZg/DfiPCORsaLdH2Y/HN0LA8C7XGoWOz2dnCoS8ellP8HqfKwEi/d7d9JKaXX16qp/Koq6geRDMlTdjtODUJvgNUW4gVAErARmX85gh8Jlzs558ptFOSmMPq8TTx3bwciIUEsEmfz6q14E9yceuVojjz9cFp3ymjYeQ0Gg2EXGGOkCVCl/9LF6NzDITAV4a49yE9YSYjku5CuwRC8E2JLUcH7UO4hdl2cuI6zSHmi1v71RQgntJqFim3U2SLhr3SMBBKsVij38FrCPysCbOMI3xitdlrhjajla6SKH9ceDGcfcPZBec/RMQqOTBAZ4D4K4rl6uwqg7AWg0O5tUWkQOA4Hz4k155/4J5TVDYI3ASFUPFenzmKBdRBYFsQK7PGcOj4EByRfieU9Cpl9ONpgyLVHjAF+tDfDAjIBHWhrJU+qPK/lGYoMHwFl01GFN2r13fgqKj0olbiAsD6nux/4pujifKXPQunfoSwPGV2BCNy/y+BjgdKKuNYOxl7J3/WcHelYO6QL7w7hHoIK3g0IcB8OkXUQ+QKnBe27RenUAx55fQmvPZVJJFx1TeuWbeCqaZdw+lUnNeh8BoPBUB9MDl4joyudfgCA8I/HqsMQqY7lO0HrQXhPgchXujid3KK3KxImYNVR1r0hCCGwXJ2wfKdC8kPgs2/4kS8geLPOEKk5q6prctjXoIT9kDVaqsgiKHsWoovBMwYr8Ged7ik3aal8/0VYyXdjpT6JZdnbUDUk06uNF/pHrfEIVsIoRMqj2vMQ/R6Ig6Mt+C9CpL8FabaOiNRCcFb6K1jeo/S1t54FKU9VpSYLwEoC1wBIewVS/2WfpUjXGUJvb8jCR2y1VYAYxFdSGbdR47kUXMfrFN3Up7C8R2JZTkTi1eC/GvBA+D1UwaXIkn9pFd3aqAxsrSrmJ0Of2l4kIPkvtffbBTqFubeeZ+SjGp9VSL0kJMHRp7jxJVateyA9mdOurGkUGgwGw77CeEYaGRX5BhwdQaXrX8f1RDgyIfAQShbpbRRHR0i8FeE+fJ/P0bIsVNJkcHTQMvfRNVA4CZV0BcLVz27lRf/ad1bTkbCzgWLlyJKXdRyIJaH8A3AdA47OWIkXVTtTEoh2EJ6DcgQqY1OUimpBNEcPwK8NL1UhjhZHFj2EFZjETjja6y2MeAEknGdvf+kbqHAfjEw4FUIfo0pfBPdhlVlKwkpDeNOQka/QGhsRsNqBozWW+zC9xeToDsqDyvsPKjadKi9KjZXTujFyKzgPAUcqhH9BF+krrFTZrUAIgUi6HunsBSWP6sq3oY904HLKIzvF6ijltLflqm3TlDyNznhKw/IcWefftC5keAG6kGBFTIzTfqSh/755APTov4UjTkziszf1fxHn3n6aCVI1GAyNhvGMNDIivlGnpor0Sj2P+iNtcbJ8cPXA8gxutBuCEALhvxhSZ+gAz8gsVN65yOAjOlC0Ip5DpOzcObYUyl6HyCwovlu/jy4E/8U121mZOhsm9BkqOA1Z/oGOi1BRiP2mA0zjubYhkljVr/zfyGhxjaGULEYVXArx5eA5DpF4/c5r479RZ+FE5qCKpyFlObLoz8jQp1okLfor2utQbhepa4MsextVdLted7lcF6yrzRARGTrt2AqA/0pImYaV+hz4TtBrFVtS51pbvhMhfRbC/0cdRyK3oPIvQRZci7SDiPXfRNlF89YCIEM/2NlUMfDfWuf4u6T4fnSsiAKSIekp9PbUFioMEUgnEnayerF2lbgTXARSE2sbzWAwGPYJxjPS2FQGd9bhit8FquQ5HfRqtUEk3bFv51UHlmcQytUNVeQAYlD2MkR+qDapXGTu7Yj0hxBEUPG12shwH64l5OPrtAy8bxyWq2bhOxJOh3IJsc3am1D0GCr0P4iHtAFDgi0yloqO90imslBc3gmQOa9qLJEIjoNA/gRJk2qNvbAcSajk21EFf9IxKeXvayMi9DVK/LWaXD1AVIuTheLUngkDVd4EwNkJfBcjfCNqZDzhSLFfSHaFZTkh4WzwjtZZVqFZEP4WwrOQ7qHgPbPaGPY/0+L7AA9YrbH8p+9y/DoR6UBFkcNSKK7wOFX8LkkE2rB++S8U58cAF70HHcTIi2ovmmgwGAz7AuMZaWQUFQJmdd3gakfKcgh9Ds7DdOl2q+l+mQorDZHyBHhP0rEc8a01G8Rmorb1RpV/ot+7+mCl/AUr+SZE4hX6WHwrsuByVPibym6WZxhWyiOQeJsOxGWzDjSNr0MHkSotNJZ0t35NkKqicXnI7GqZI6oIYuuBCCK2qO5r8RwLnpMBocXD5HKd3eLYMRtEAqXs+u+kwHs6In0mVvprWAmjaxoiANL24Ij62fnCSkQEHkBnABXreUZ+gOAUCE62x9yOLPmv/XcIg/dUlCxFxdZrz1JDSDgX8LF0vpc7LuxCSVBXOFZKopTks3d84HRy0CEJtOmk1/7yv03AUUvtIIPBYNhXGM9IIyPkFhQe/Su+Qf1yUfFV4OyB8DZ94KAQAuE7FXynao2Ukk+h7B2gQuxMQdSWlA9XM1a8YyD0qa7JEvkGFf4SAo/osSpw2oaA1VlvcVAA4cW6lkt8o71lUtmYqgDOGcjQxRBZoj0iqhBwoES7OsXflSzVhgsusLpD8iQofR7ieXX0qCABbZi0ocqT0Aor5dFdd4tXCMMl7Wb8asjtwGYdQBt4GMKfa4Xc2C92TEoZlFQEq7qg7BlU2TPoAoQHQfIkRD3jRyzfSXz1bg4PXfIeIHj7uc70znLzymNxcjZZlBb7yN0O5910HudNOpjUtp3pmbX72kAGg8GwNxhjpLGxWgPhyvot9UYF0am8ec0eOCisNETyWJS3m05TDn++Q4uVyJyRWK0/Q1hJqJR/6FiHsjQIvafF3DzHIiz7Bh37TUubx9eCZyCWIwVptYfwT+Dwg0oA2un4FBECWc04KRxFlRqqTcHDkPlKrXNX0WUgo0BMS9EXXgmUUfdX3wtWF12F2Hc6lqsDctuxoLaAq1cdfWqcEHCD8O++bUWXyCJbI2UZlMwAyw/xVPBeBwkjoOBRdPVeJ9o4suvbiFYQX4UqvAbSXkG4+tbrfB++tIlISNB9QCfen5HPq1NLqFiPgSf0ZcQlf8JKasPR5+x6HIPBYNhXGGOkkVFRO5CxATcnsCXbQWfRtABk6Et9I3cdDCIB0t6E/H+Aet9usBEZ/h7LM1jHQ7gPRrkeRUV+1LEZ0aVgS9gL98Go2GogjJAbdZyFKtNbG6oM/GeApy84e+ry9qFcKmNHgCpDxIne3lmC3H6B9iIowCoGWaCzZOLrsQu6UCk3D+BoB7IVqGqy9riwMn+ued2RdbaB4aN6im2dKJ1xhGrAtlr0eztoNwqhV9BbU3Eo+0ir1wqA1oAF/isgvlC/9pyilXEj37Hi8yvZtHUco85NRCScgxDuWk+14NOfWPDxTwD8+tMGEpL1NmLX/p3485s307HnjsX6DAaDofExxkgjosr/pwvGObojEi6sf7/QF1A2AxzdEAkX7b5DI6Ni66DoTr2NYGVA+jQsZ1toMxWZnwKRl3XD8CrwVKWnCmGhPMdB+FNU0YMoz1EI/1kI50GohLEQXY4Kf4Nw9ddZL2orCK8uyJf8IIIiVOwXtGy5Ax3XUREjURGLEwNC+gYdh8obOdiVeSNUVfD1gGcM+MdjuQ8GQGYPp3IbRtRUOpVlb2rxuYrAVUfm7hfL8uo5iAbECClPteuCqsBVF0Tm6u0scvXx0gfQnh0g9Db/fnQ4R57Ym/debMP65R+Qs8bHMRf2olO/LHI25rLo0yX8ungd+dlFCEvwy4LqW2CQlJbIn9+8mUHH71wJ2WAwGJoKY4w0AkqVo0Jf6iBEysA7GuEbU0dbCaH/Q4U+1zLlskT/alcl4D4J4TulaSe/0/yiqPzxQFTrYqT+G8uqlqJcYYgAJJ6/8wCOTJDZQB6Ur0RFvkd5jwIV0um/7sN1kGvJNKAEZB7gh+BkFPlow8LFzl6JurKTPOBI05Lnju7gbKcr6roGY7la19K+enBu1ZgythmC91Ijgyb0EXLbMki8GnzHYVm1VFd2ZALFIMN1zK8WvCMh9DFQCMlTIXgX4AW1ESjSHh4kWiW2Yo4WJUEXb0wr4H/PBwiVFOJO8LLuUcVr06aSkOyjcJtOxxaWQElFUloi3Q7pTFRG6da/M+PvHkuPAQ2sk2MwGAyNgDFG9iFKFqKC9+uYClUKzn5gHYxIvK7uTqF3UUXVBL2cfeyS8xbCveeVefcpzn4Q/Q7cA2sYIjJezSDwXlGlploN4exi38pdILpDfAuU/09vx9jJXKrgT3bjRFA9gKXozJYKj0aUXeOy2/jAfRZW2q6VSWXxVIhvgujKmh+oUlRkMcJ9qO0RiQAe8E+2PRJxHTtSfIO2N0QryJiNZfm1JL0qBc9RWn2WCDL6W2V6s4xtguInIbIC/JdhJVYL6HW0BfJBlQMxcHbU21p4gXRwDwDrEHD2J1qWi4uPwHM0K38cQkrrVyjIKdSrFNIrHS+P4HDotRWWwB9IwONz06pDOqMnHsvxFx27m/U0GAyGpsUYI/uS+EadGaHKwNFBl6pPvAUh6s6gVjKoDRCRqKvLOg9FxJZreXLP6CacfO0I4YKEs1HBpRDfilKRavEI1bwVkbW19leiO9AFnOmQ9pI21Ipu1oYHFpS+hb7pRkAVAAXVe1efid2uwgBK0t4PVaZVYInqzyL/h9z2JaT+E8u9cxaILPtQ18hRDi1NXx1rOLh6IuN5VYaK7wyspAuR/jOg8G6IfGo39uhzFz+O8o5EFVxOVSyLBbig9A2k/yStmhr+Br2l5IKSf6L8p6AiP+jjkQVaAdbKgLK3ILreHiMMZEPkS8h4H8rfZu5b33L4CEVKxy4MHnMszyzoz0Pjn2TxnGX4Awk4XU76DD2IISdnkXX8oWR2qc0bZDAYDC0LoRogVHDPPfdw77331jjWpk0bsrOz6+wTDoe57777ePnll8nOzqZDhw7ceeedTJw4sd6TDAaDBAIBioqKSE5Orne/5kLFt4CVuUsjpLJt6QxU8RTwnoS1lwXwGgspY7B9uE6lTf0XlqfKYyOz+1BplKR8jOWt6faXpe9B6cvgPgiRfDPCSkNG5kP+teig1F2Jg7mBACScB4nXYFkWMnsEemulD9qD4rEfMV0kT/4KlGpjx3s2IvmOymwkpUKo3HFa6ZUEIH+H86VjZc7TnpPSZwEHZCzActQMPpbxQsi7GqQtBuc6HdgIsTW6IjE+tNHkBkdfoADiv+laOGG7Hoyjo35E1+lYGQD/dbqQHoDoA2oD2ggLgCsDoj9RUDSc6X9tx20zav47rPhn3NyZVwaDwVCd+t6/Gyx61q9fP7Zu3Vr5WLKkbtlrgLFjx/LZZ58xffp0Vq1axWuvvUbv3r0betr9CuFoVy9DRDe2vQx2QbaWiGU5wXeaLmcfXVzzw6Snq14XnrVTXyFKtIEQWQF2bRjLPQSSboda1UEsoK1+6R4KqU9hJV9XVQ/HsoNYXem6zg0u/bA6IFKnQPJdtsekBMpfQm0bjizUhQqJfAfxJUAUHLV4DFKe0s8VRQJFYCdDBMBypEDa1Kr5yyUQ/RE8oxBtfgbvNVR6e+Kr9HWkf4iV+oSu3Ay2F61Ab+sInTElrCRwDQbXYaBWoLeqSoAgRFcBgtT2Q7j5hbtqWWdhDBGDwbDf0uBtGqfTSWZmPbIKgI8//pi5c+eydu1a0tLSAOjSpctu+4XDYcLhqgDAYDC4i9b7OfYNWscLtGBEgm0w1fzKWP4RyJJhoOYBZchtf8Fqc1/l58pzKjhfhtgKVNnrCP8fkJHlUPwwVds8DnAM0l4XpwcV+QFV/DeIboTgg0hnd/CO0OqmCkBWVgQm/Co68NUFVgAr4WykZzQUXGbXccmG0I3I3E/B3UlnBLmGgRoC5X+wz58IKY9iebP0W2dfwELKOEKp2qsGO9sgXQN1EK4s0oZRbJ0uYJz4BwjZXi73cKzA/VUdE8bpuJn4GvBfheUbjSz7L5T/T+uNpE6H0DyIXgXEwNEHkidD0R0gN7FxVT6ds3aOzTEYDIb9mQZ7RtasWUO7du3o2rUr559/PmvX1h4rAPDuu+8yaNAgHnnkEdq3b0/Pnj255ZZbKC/f9Y33wQcfJBAIVD46dmwZWhuNgXavJ9UMj2hhKBWF8tchvkGLle1IxgvoLRVAzazxkeVIBP8N4MqC4keRkWWQfzG69owTnOfp7Qq5BIQ2OoX7cETqPyHhZF0JN74SSh7WtVlUhZFaCLEtQKr9PhsVfAAZ+l6fM/VZsKqlq8Y+gLLntREj3FB+Q7VZBqhemC+vcDCXHtubkzt2ZssvO0jhVyfxTiBBx6yobIj9BEW3Qtlj4BwCCIj+gIxtqOwiPMdoiX0EQtriZZ4xWssk/CGUTofSKej4Eg8k3YHlGcoXH43j34+O5LoRS+uej8FgMOynNMgYGTJkCDNmzGDWrFk8//zzZGdnc8QRR5CXV7u09tq1a/n6669ZunQpM2fOZNq0abz11ltcffXVuzzP5MmTKSoqqnxs3NhA9dL9ibLXdTaF54jmnkndxNaAzAFVXKvsuGVZ4B5rvwsjS+bW+Fx4R4GVAK5DbUPE9nSJ1uD02Wm4B0Hwoao+VgAr6TpImgTOwSBjQDkIQaUBEv8WnfGSCK7jIPwFlE5HFr8AhVeBwwN0qX4hgILSd6lp/eUgXDrW5bcVm7ik5yTyspORUlSKgtWGcPfVaqlQNV5kFoS+sAv/KW2oFFxT1UdYCM/RgEKVvY5SCsuRDI6uukHpNG304QHf+VjeIcx7bwEPT5zF64/n8scHx9U5H4PBYNhfaZAxctJJJ3H22WfTv39/Ro0axQcf6L34l156qdb2UkqEELzyyisMHjyYMWPGMHXqVF588cVdekc8Hg/Jyck1Hr9HVGQxxBZCfB3Ct4dVWJuCShXYkI7FqI2UCnEwoORaZGlVLJEQAvyTILoWXQwOcI4A5YbQR+DsAbGfIfw5KvIjUhYi4wXIonug6GqILLRTgf1aICzjA/R2UYTK4napD4J3HMRzoPQfEP0JHMl6e4ceum8l64Ciau8tKraM7j37McLlEcqLQ1z60IWktkmlTlS5XVcGKo0R0RlIBivdPu6F+FqkDCEji5HlH6BkIeAgWv4bMrKYOW/MIR4rRMe/aOIcRBnX8+17P/DguCdQSnHK5cdz2lXNn2FlMBgM+5q9Su31+/3079+fNWvW1Pp527Ztad++PYFAlbJlnz59UEqxadMmevTosTen3+9R4dngGgiu/ghHm+aeTp0IKwnlOQHiOajoKkS1bJoKLMuBFJ1BrQdCUHw2sqQXtHoDy+HT1XirZ6+4D4LYfCAOoa/RX0UHKv98cPa3K/IqdABndRxQ9j54zoTw++islUSESEYlXga57+i0aNIQSTejih4DV5qOP8FrjxlHe0kAUlG0gugShCOT/Bw9x6zj+3POzaftcl2UkuAYAMKiUh026Q6EewCq6BaIuOzsHgk5g/W64AYiRGPt+OTtZJ7786OEyiM8+l4rDhnSH7xn88uP3/HETVFWL7wEgIEjDwGhuPrv9c9AMxgMhv2JBseMVCccDrNixQratm1b6+dHHnkkW7ZsoaSk6oayevVqLMuiQ4cOe3Pq/Q6lwqiy/yLL3kYWP4EseQrKP4Hojwhnn+ae3u6R2yH2E6IuzwhAxsdAVtV7tQq2ZyHz7oS8C6o1dELZc1Rqh1h++3VcB4IKN9rj4aGq+q0D7TkohbJnIPwmVZojQe05CX8JlOi4lvSZIFJ1jEmsEK3ZEYKUJ4HqnrYCFnyxkdH+5zi7zURK8/WYCz75mcv630xdme8y9AMUTdKKsbJMe3Zii8HRFhX9CeLZIFegvTe2ZL1tiGC1I3+7nxfuF4TKIqDgqw/7Qsp0LP+5bM0+h9ULdaxKRod0uh/WhXtm3orTZWSBDAbD75MG/e92yy23cOqpp9KpUydycnKYMmUKwWCQCRMmADrWY/PmzcyYMQOACy+8kPvvv59LLrmEe++9l9zcXG699VYmTpyIz1f3XvzvElmACv5FB3JGF4Kjm47DcHRDufrUmuTaohBe/axK62xiWRZkvoYs/xWKzkPHhsQg+ma1VmloQyMGlEDirZDwRyi4QoueJd0IzoOhfBbEl2vZeOmByBtUKrGqwh3OLFE5g4B0IANcB2M5fMjwV3oOajXaI9IKHJ3YWV9EkJwaIbi9uMbRjSs38/ELn3PSxJE1jitZCKVP6Lm5e4Hvcig8V3+Yfx44MiD6Mzg6Q3wzFV4Y5RoM0e9Q8S20aQu3PJHCtNt6c/2z13Dk6VU1fYafO4w+Q54hHpdkdmltUnYNBsPvngYZI5s2beKCCy4gNzeXjIwMhg4dynfffUfnzlryeuvWrWzYUJU5kJiYyOzZs7n22msZNGgQ6enpjB07lilTpuzbq9gvcIJnJFiZuhqtSISyl0Gk6LTZZma3olnOg0AGUbJ4t4aT5esOvgXIov9A+RSqgkUFOmbETum1RmAlXgaApBSI6GJ1JQ/qoFnvWeA7G3BCwWq9dePsrmvkxLejjZrqNWDsDJRYsb6e0A/Vsm/QfUueoqrar95e6do3Rs/Bnfh1cS7FBTESU70kpaSzbd123n78/Z2MkQ2L/wPla0hIzyL9oAexHAGks6+en9wKjvbgHQPu4yC6injxv5j7Xirbt2bTtbeX3C0JjLkoh6zjynlp+Q34UgfutIatO2XsZpUNBoPh90ODFFibi/1NgbW+yPzxEJmPSLoT4Z/Q5OdXSkLZC6jI9yBDILci0mYgaqlOK4vug/KXwXkwIv01hPDUMuIOfUpnQ3H1zKkEKivOVsf1J5BfABa4h0FoFjjSIRbUsvq+o6H8Ha1zIkt0ZVy5eYdBMtEpuhvA0UMHxYZXApvRacSAayJE/223r4jzAO2tyUcpyNvm4OoTBzBi3GjeefwD/IEEElP9/Pn1m+h1+EEAvPTnfzLzyS8Y86cx/OH+C3B7XMicI0DmQuLNCP/FCFHl+Tsj5XxKg9oAS0pzEglZHHPKFma/0YpXNzxLRod0DAaD4fdIoymwGvYhlr7pq8qMjCYmuhBV8oJOiVUlEF+PKrprpzgJGcuG0CeApcXLtg1AbhuEzBmNzB2DzDsXWTQJWf4eMq6zVGTx/0HxtfYIQvetzRABiD6nRcDiYSh/EUS61t5wddTpu6Vvam+D/A3Iq+ntqCQb+A1opwNYw28Dq6g0RPBBbFb1q6r2Wm/bCAEJiXFaZRZSlBNk2OlZlBaVsW39dq4ZOplv/m8+AKdecx5tD+rEm4+9xwt3vqaHcA4ERz9wHVbDEAHoNbhv5evSIkm4LMLsN1rRuW8H0tvtIlvHYDAYDhBMRFwzoZSCiL65CffRTX/+yA+o/HF6m8g3FtxHQ9EtEFmIKn1Ry6XLbaj4Vgh9bhejk1QGYaqg3l6K2XWJoosh+guUv48U7SH8cvWzUbVV4wQ84P0jhL4BFlZrtx4AkTQR4TsFmb8GSAMlIFZRKC9iq9V6gfbAr9X6h/QcfedqeXZ2SB9XFd6UJPtaKioDV6X2enwQjSUQj0vumzmJ2f+Zy1PXTqcsWM60K5/j3WdmUZxfwpAxA/nlx3W4PPY/IZWHiq+ivCifxB2U5tt0qdpycflcpLdJYeJfL2TwyQOrZO4NBoPhAMYYI82FzAGZDVY7lOvQJg9gVSJNx4HE7Mq1KgS+87QKaMnTqAphMkBnsfjshwUpf0U426Nkmc6uUUFUdBVEf7UF0r6o5YweIACOJIj/CiG7IByHAD/XnFvRJJTyoQ2GfKBYx4lUVsUt0+M5e0HsV2qyCYJ3spMhUuN9ZxD5djCusq+rBEhm9pvJbNuYwPmTdBzH8eOHc9DArtxy7D0Ubgvy4zatn5K7OR+Xx0k8rj0sH71xDC/dC6PG5/CnR/VZcjZs5+EJT/Hz3OUAeP0eLnt4PCdOHIHbYyTdDQaDoQJjjDQXsVX6WXixLG+Tn95ydUe6jwaRpEXFYmsgugisNjpzxtUPrFS9PRL6Rme2uIfqGi626mh1A0p4RyOlhO07Ksl6wOoHap32psRzwDkA4uu1MFjcQntbYlSm9xKB4JXVxpDUNCZSgXyIfVjLlUVrOTYEmF/t/VLbUVOxf1mRrlzKqHOKCcWP5KizhlS27tqvE6ddPZqX73sLALfHRVq7VI46cwgX/fkcNv+ylSevn0s8Fich4GPalf/ku/cWkreloNJzktomwGNf3EOn3gdWSrvBYDDUB+Mjbi7itsS9s0vzzcH/R7R+h6yqOSO3acVVkYZwD0P4r0AkT9KfRT6F8Jy6xws+DWqHtNmMeVit/6sNEEI6uDRpEqL1PEh+EFiM1uIArPYgartZd4Lkp9HxIEeyc2pudVqBNcK+LkD0A29dOi5BKrVOAKx0nK50zrjmTLwJNQN0J9xzHp37dcST4CYWi3PTc5dz9ZMTicViPPKHp4jH4giH4KW/vMEXr35N3pYCAJSCiQ9cwOtbnjeGiMFgMNSByaZpJmT4Kyj5Bwg/VtrzzT0dAFRkIarsDQh9Cq7eEP0BrFaIlL+jQl/r93IbVsantfaX2X3RHg4f+P4K/iwspxbEk5FlUPxXiG2ExKvAdxrknqy3qwDc54H6FaJbgA3VRnUBfi2G5rkeQpfvcFZBjTozYoAdG2IHBae+CwVnAx5wDYaEO7RYGQuqjWF7ZhxdwdkdK/WpWq8vb0s+f+h9PZFwBJfLhSfBjZSSkvwq7RXhEKS3SSGzWxvGXDqS4y48GqfTUeeaGwwGw++Z+t6/zTZNMyGcPVDRBYCFUiGEaPqtmp3m5M4CV39UwrkQXapVV+PrUcVTwT1EGyPUHusgi1+jUmLdcy5W4JQan1vufkhXf3ShulchMg/kFsAHog1YxZB4H+RWpDh7wX0+RF4FCkEV72CIDIPW/wbKIOcMwPY0qZ9qTqzgUvTWTQxS7sdyZCA9z0POGGArOpjVFjuLb9QibNVQSrFw9mIWfb6UjSs3EyrRcSvhaJhwmc7qSU5PJDHVzyHD+3LhnWfTtkvLlfY3GAyGlogxRpoLqw2IZB1HEdsIrpZRp0cIN8I9CNyDUL6xqOKHofxtiFZ4EqJIGaqMc5HB6VD2NDVqyATuqH3spEmokueh9FkIr0V//droejah9RD7DSiwW/tBZWs1VpkOcgdvTPJYLMsBJCHZsosrsj0v3jOxHHZWS3S9LqLn6APe0yD4F6gQXSu+j7JYH1576AvmvvktgVZJbFu3HSkVJQVV1+hN9pI14hCGnjKQEeOOxu1x72pZDQaDwbALjDHSTAghUK5+IEtRqrQyGFRKCeFPIbYC/H/CsvatbL6SJajwfIT3GITYdUaHsBIg+R5w9UEFHwSRpvVIth+JVKlo9dMcamyTJN5eZ7qqEAKlHOhg1Dj661exxdEWZMVxgKCdnlsMCZdC2WfVzuOA4K3I4D+ooehag2Q9RuWFe1FKIoQF0SVgtQWRjpUwBuU7CVXyT9YvepF/3uNi0ZfXoWwZkq2/bAPA6XLgcDqIxyQjxx3NbS9dY9JyDQaDYR9hjJHmRAYhtgxRrdaKiC1AFV0DeBGJV9bZdbdDx7eDiiAcbfUN2EYVPwSxNaiSh1G+8xAJZyOslJp9Y9shMgeia0DGQMS0DklspRYcUyEqtzYAcILVHdKmYzl3ENnYEefBVBkPMa206hoF7gFa26T8Gwh9hfaQRIByKP+SmiJlcXScx+pdnKh6anI6RN5F5YZR3rEQW6iNKs8ZyHgec9+Yz1vT1rP6h45VXQQktUqkeLv2hvhTEjjkmL788aGLaN99Z4Vag8FgMOw5xhhpTqxE/Syr3P+q5Gn9wncmQtTP9a+UYt2SDXw9cz4LPvmJi677lkHD9daFwoFy9IHkSQj34QjXoajIfIj/BuXvoULvotJeB5xQ+hKE/k+roVbe/BPRMRce9A2+wlPjA+cgSLwJy9uv/tfs6VT12jkEkXAGIuHsap8fCdyGLP8Qgk/ogoLWoRBZrD+3+oC7H4Q+pjILZ7f4tQEVfxdKP7erAreB0GwI3kokeBIybuHxe0hI9nHwkb248fkrSQr4Wbd0A6VFZfQ7opcpWGcwGAyNhDFGmhNhS4ErHRSplAKpvQbCd9puu8uS7yDyEjI0j6uyDiIe1zfLj9LTKo0R8EJ8KRT8ASVag+8CSPsIQq/o7BaAgst1kTdVQJWwmB9QYKVpb4iVCqTojBP/BCzPUXt2zaralorvRPCdVUdDAc424OyKFZiMzP1ZezTkBnBcBrwFrmEgOusA2PB0oASFRc5GhdurSEmHoiLBuuUbSM1wUl4M4bIwA44u1ZLxtqrs4FEW5dFjOWzUIXTeIf2268GdapucwWAwGPYhxhhpTmJLgQDK0U4nqMZWQXwtiNa60FsdyMgKKLjbzhxJwLLK6NoP1q1wkNklg8NOGAKtHteCZmWvQtkMUDFQW6FsKpQ9Cc6sqgGj89BZMg50qqwfMmZjORqhgJustt3iPaNub4MMQfRniK1ARn+EWI49twhQCIlToPwlEFFtoNCeeGwVC7/y8OAVXVAKjhyTT0GOh9SMCB0OiuD2wM/zD2XAcfngaKOL8CVPJjWzD2dcs+8v1WAwGAz1wxgjzYSSBRDfBIBw9dfPchtK5YLohrB2zseWkcUQ/LOO3ajUqwuD93z+Pu9KXL62O58o6RpIugZZ/iWUPA3xRUAEYj/ZDRyAFzwjwXcdlFyp1VhLn4Lku/fxVQNWtWDXwmuRiTcjXG0RVlrNdhU2iyqGWBG4Bun6N0Sh/Bms1t8iVSmUTtXXgyIShlemZlJWrLe3Pn0rE8uy8Pjc+JK9jLl0BFc8MRyR3tZsuRgMBkMLwhgjzUXkJ/3s6IawkvTreJ5+drWv0VSGv4Piv0NsEVXBn/bN1PsYVsrJu5XStXzHgO8YZGyjFluLrtYxK65TEElnV96cpboCim6uLOK3z4lXk3WPfguF61HObij3UQj/uQhbah5HMpACVgoicCtKpGqBtMLrQBYhi18C/4VESr/FGf+ShXMTGTi8BKQ2dtxeJ4ePGcgNz19OSurvQyjPYDAYfq8YY6S5cB2CCPyNCheAjBdA6dNgdQSrNVKWQelbOrYjvs7ulARC6oJ25bPA2Q6RdHiDTms5O0LKA3U3iK0H12G6iF5jICLoINg4WP3tuA2g9AFU9DuU1VbXwVEOIBscXVDOfliOFKAvUgR0jE3pX6HsKzavXsHMZ9vz+f+lMmpsEF+yl9TMACdfcQIT/jK2ca7BYDAYDPsUI5TQTAhHOsJ3KsJ3OkpFIe8MiJeCLIDwZ5AzEEqnVNWwESmQeCui9Y/gPhyc7cBKRjh2k0rb4Hm10wXz4tn7dNxKQr+idUYiIBeCs5/tLUmF2FoIfwLRjfpzvNrwiK5EKYWMrgffn6jUG1Ff0qXHdhzuKLGIxZyZqQhHT074w3HGEDEYDIb9COMZaQmoEpBb7TcOO+PEB0S0LkfC+VgJVVknquxVLc2eMHHfz8XRSj/L7ft+bEALpYHeZkrVKcbO1hApAKVjaYRIAyRYGRD7EYL3oJwdQEmIfg/0AJahgFgUlnwXwOF04E8JkNGlO+P/cm4jzd1gMBgMjYHxjLQInPbDozNgXMdC4D5ovRir1Rs1DBEZ/VWn2ookRMKF+3wmysoEZ2+w0mmUGoruDKA7cKiuGuwarANUSWHDGsXlI/uxYS0QKyBcuoXsTams+ikCxEE4wHMcZeoIFsxNJX8bnNmrPxtX+1AKhBKcdsUJeLxGmt1gMBj2J4xnpAUgrCRE5vL6NQ69r70DnuMRzkbQwHB0Allsq60WaAn4fYhQYRS/6jcRW45eFIOjIz/OS2b75jiP3diDhz8cxfbNy5h+9zI8PjjNdTwLPwuz8vv1FOXn8OuPnYCq6+/Upz0nXzaKnoO679P5GgwGg6HxMcbI/kZ8LQDCfVjjjB9bDyIRXFkg9m1dHADl7AOuERBdq8d3Z4EIgKM1PYe6KSt+krVLNvH41cvYvGYrvywqAgFbNyxi3ZLfiIZjdOjVFrfPRXJ6Egcd1o2TrxrF0NFZuz+5wWAwGFokxhjZj5CyHKLL9BtXIxkj0W8hvhocRyEawRixXF1RqX/TsSGO9jX0Pjr1K+aCyWfxzcz5LPlyOdLeJuqZ1Y123dpw8FG96dS7PT2yutG1fydc7l0X+jMYDAbD/oExRvYjRGwpKr5BC4C5Bu7z8ZWSUD4T8IF3zD4fvwJh+av0RKqRnJbEH+4/j/Y9MnG5nQRaBwi0SqJ9j7b4/N5Gm4/BYDAYmhdjjOxPVBTUU6HGURANfwax1SASEd5R+378emBZFqP/cFyznNtgMBgMzYPJptmviOknse+3J0KlIeLBp/SbhHEIK7DPz2EwGAwGQ20Yz8h+giz/GYru0G+im1FK7TPviFKKxy//J5HSDG570oXXf+k+GddgMBgMhvpgPCP7AUpJKLoOKLWP5EDpP/XxfUCk4GXKgxuZ90EJq3+913hFDAaDwdCkGM/IfoAqmQpssd8NBH5ElTwF0WWopNuxnB32aFwpoxC8HVfkff7yLPyyfhq9j+i3r6ZtMBgMBkO9MJ6RFo4q/z+I/AhYiMCjiDavIJLu1Poc0SWQfy4yNLfh4yrFszf9h99WFABg+c+i17CT9u3kDQaDwWCoBw0yRu655x6EEDUemZmZdbafM2fOTu2FEKxcuXKvJ34goMLfooomQ3QBJN6A8J2OEA6EfwIi+X5w9gQZhMLLkIU3oCLf12vcxXOXcdepD/L5q19z66mFbMu7GJF8X+Nk6BgMBoPBsBsavE3Tr18/Pv3008r3Dodjt31WrVpFcnJy5fuMjIyGnvbAxD1IK6E6OyL8f6r5maOtnVUT1e9Dn6BCsyHwV4TvjBpNczfn8X9PfsTiOcvodmgXPnxe//36H92HQaNPIbPvmcYQMRgMBkOz0WBjxOl07tIbUhutW7cmJSWl3u3D4TDhcLjyfTAYbND5fi8I4Ya05wFvpbEQCUd5/9lPyNu0louu+hKPzwHJD0BkDoQ+YvOSv/Pcgyvo3KczHXq2ZevabSyft5pFny3Bn+Jn/bKNAIy5dCTnTz6Ttl3bNN8FGgwGg8HAHhgja9asoV27dng8HoYMGcIDDzxAt27ddtnnsMMOIxQK0bdvX+666y6OO27XolYPPvgg9957b0On9rtkR0n2Of/9hn/c+CKBjGRKC0/h+qdORHiGo3ynk5fbnsuPW0TrTtnM+9+PAPQY2JVtv23n0GP7MXLc0Wxdu40hJ2fR74hezXE5BoPBYDDsRIOMkSFDhjBjxgx69uzJtm3bmDJlCkcccQTLli0jPT19p/Zt27blueeeIysri3A4zH/+8x9GjhzJnDlzOOaYY+o8z+TJk7npppsq3weDQTp27NiQqf5uqfCQlBWVcfH9tyE8qfZxi2fucBApj1FeHGLkRUez8JOfCWQkc9kj4xlw3MFmK8ZgMBgMLZIGGSMnnVSVbdG/f3+GDRtG9+7deemll2oYDxX06tWLXr2qfoEPGzaMjRs38thjj+3SGPF4PHg8noZM7YAhuVUSAJ37dSQtUxsi5SXl/Of+t/jqre+wHBZT3pvEQYd1bc5pGgwGg8FQb/ZKZ8Tv99O/f3/WrFlT7z5Dhw7l5Zdf3pvTHtCktE6m35G9sRyCeCzO4jnLeP3R/7F6wVrS26Vyzk2nGkPEYDAYDPsVe2WMhMNhVqxYwdFHH13vPosWLaJt27Z7c9oDmlbt01n2zUp8iV4m9LyWbeu3A3DEGYdz5nUnM+BYI1pmMBgMhv2LBhkjt9xyC6eeeiqdOnUiJyeHKVOmEAwGmTBhAqBjPTZv3syMGTMAmDZtGl26dKFfv35EIhFefvll3n77bd5+++19fyUHCOltU7nxuSv4euZ8fvhoEZYlOPXK0Ux84EISkny7H8BgMBgMhhZGg4yRTZs2ccEFF5Cbm0tGRgZDhw7lu+++o3PnzgBs3bqVDRs2VLaPRCLccsstbN68GZ/PR79+/fjggw8YM2bMvr2KA4wxl45k+NhhzHt3Ad0P7UzX/p2be0oGg8FgMOwxQimlmnsSuyMYDBIIBCgqKqohnmYwGAwGg6HlUt/7t6lNYzAYDAaDoVkxxojBYDAYDIZmxRgjBoPBYDAYmhVjjBgMBoPBYGhWjDFiMBgMBoOhWTHGiMFgMBgMhmbFGCMGg8FgMBialb2Sg28qKqRQgsFgM8/EYDAYDAZDfam4b+9O0my/MEaKi4sB6NixYzPPxGAwGAwGQ0MpLi4mEAjU+fl+ocAqpWTLli0kJSUhhGju6TQZwWCQjh07snHjRqM8uweY9dtzzNrtHWb99hyzdntHS1s/pRTFxcW0a9cOy6o7MmS/8IxYlkWHDh2aexrNRnJycov4Uu2vmPXbc8za7R1m/fYcs3Z7R0tav115RCowAawGg8FgMBiaFWOMGAwGg8FgaFaMMdKC8Xg83H333Xg8nuaeyn6JWb89x6zd3mHWb88xa7d37K/rt18EsBoMBoPBYPj9YjwjBoPBYDAYmhVjjBgMBoPBYGhWjDFiMBgMBoOhWTHGiMFgMBgMhmbFGCMGg8FgMBiaFWOMtDAKCgoYP348gUCAQCDA+PHjKSwsrHf/yy+/HCEE06ZNa7Q5tlQaunbRaJTbb7+d/v374/f7adeuHRdffDFbtmxpukk3I8888wxdu3bF6/WSlZXFV199tcv2c+fOJSsrC6/XS7du3Xj22WebaKYtj4as3TvvvMPxxx9PRkYGycnJDBs2jFmzZjXhbFseDf3uVfDNN9/gdDoZMGBA406wBdPQtQuHw9x555107twZj8dD9+7d+fe//91Es20AytCiOPHEE9XBBx+svv32W/Xtt9+qgw8+WJ1yyin16jtz5kx16KGHqnbt2qnHH3+8cSfaAmno2hUWFqpRo0ap119/Xa1cuVLNmzdPDRkyRGVlZTXhrJuH//73v8rlcqnnn39eLV++XF1//fXK7/er3377rdb2a9euVQkJCer6669Xy5cvV88//7xyuVzqrbfeauKZNz8NXbvrr79ePfzww+r7779Xq1evVpMnT1Yul0v9+OOPTTzzlkFD16+CwsJC1a1bN3XCCSeoQw89tGkm28LYk7U77bTT1JAhQ9Ts2bPVunXr1Pz589U333zThLOuH8YYaUEsX75cAeq7776rPDZv3jwFqJUrV+6y76ZNm1T79u3V0qVLVefOnQ84Y2Rv1q4633//vQJ2+x/j/s7gwYPVFVdcUeNY79691aRJk2ptf9ttt6nevXvXOHb55ZeroUOHNtocWyoNXbva6Nu3r7r33nv39dT2C/Z0/c477zx11113qbvvvvuANUYaunYfffSRCgQCKi8vrymmt1eYbZoWxLx58wgEAgwZMqTy2NChQwkEAnz77bd19pNSMn78eG699Vb69evXFFNtcezp2u1IUVERQghSUlIaYZYtg0gkwsKFCznhhBNqHD/hhBPqXKt58+bt1H706NEsWLCAaDTaaHNtaezJ2u2IlJLi4mLS0tIaY4otmj1dvxdeeIFff/2Vu+++u7Gn2GLZk7V79913GTRoEI888gjt27enZ8+e3HLLLZSXlzfFlBvEflG190AhOzub1q1b73S8devWZGdn19nv4Ycfxul0ct111zXm9Fo0e7p21QmFQkyaNIkLL7ywxVS7bAxyc3OJx+O0adOmxvE2bdrUuVbZ2dm1to/FYuTm5tK2bdtGm29LYk/Wbkf+9re/UVpaytixYxtjii2aPVm/NWvWMGnSJL766iuczgP3lrUna7d27Vq+/vprvF4vM2fOJDc3l6uuuor8/PwWFzdiPCNNwD333IMQYpePBQsWACCE2Km/UqrW4wALFy7kiSee4MUXX6yzzf5MY65ddaLRKOeffz5SSp555pl9fh0tkR3XZXdrVVv72o4fCDR07Sp47bXXuOeee3j99ddrNZ4PFOq7fvF4nAsvvJB7772Xnj17NtX0WjQN+e5JKRFC8MorrzB48GDGjBnD1KlTefHFF1ucd+TANTObkGuuuYbzzz9/l226dOnCzz//zLZt23b6bPv27TtZwxV89dVX5OTk0KlTp8pj8Xicm2++mWnTprF+/fq9mntz05hrV0E0GmXs2LGsW7eOzz///HftFQFo1aoVDodjp19TOTk5da5VZmZmre2dTifp6emNNteWxp6sXQWvv/46f/zjH3nzzTcZNWpUY06zxdLQ9SsuLmbBggUsWrSIa665BtA3WKUUTqeTTz75hBEjRjTJ3JubPfnutW3blvbt2xMIBCqP9enTB6UUmzZtokePHo0654ZgjJEmoFWrVrRq1Wq37YYNG0ZRURHff/89gwcPBmD+/PkUFRVxxBFH1Npn/PjxO/3HNnr0aMaPH88ll1yy95NvZhpz7aDKEFmzZg1ffPHFAXFjdbvdZGVlMXv2bM4888zK47Nnz+b000+vtc+wYcN47733ahz75JNPGDRoEC6Xq1Hn25LYk7UD7RGZOHEir732GieffHJTTLVF0tD1S05OZsmSJTWOPfPMM3z++ee89dZbdO3atdHn3FLYk+/ekUceyZtvvklJSQmJiYkArF69Gsuy6NChQ5PMu940W+isoVZOPPFEdcghh6h58+apefPmqf79+++UntqrVy/1zjvv1DnGgZhNo1TD1y4ajarTTjtNdejQQf30009q69atlY9wONwcl9BkVKQITp8+XS1fvlzdcMMNyu/3q/Xr1yullJo0aZIaP358ZfuK1N4bb7xRLV++XE2fPv2AT+2t79q9+uqryul0qqeffrrGd6ywsLC5LqFZaej67ciBnE3T0LUrLi5WHTp0UOecc45atmyZmjt3rurRo4e69NJLm+sS6sQYIy2MvLw8NW7cOJWUlKSSkpLUuHHjVEFBQY02gHrhhRfqHONANUYaunbr1q1TQK2PL774osnn39Q8/fTTqnPnzsrtdquBAwequXPnVn42YcIENXz48Brt58yZow477DDldrtVly5d1D/+8Y8mnnHLoSFrN3z48Fq/YxMmTGj6ibcQGvrdq86BbIwo1fC1W7FihRo1apTy+XyqQ4cO6qabblJlZWVNPOvdI5Syo9AMBoPBYDAYmgGTTWMwGAwGg6FZMcaIwWAwGAyGZsUYIwaDwWAwGJoVY4wYDAaDwWBoVowxYjAYDAaDoVkxxojBYDAYDIZmxRgjBoPBYDAYmhVjjBgMBoPBYGhWjDFiMBgMBoOhWTHGiMFgMBgMhmbFGCMGg8FgMBialf8HnI7lOMjaYuUAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "accra_exposure.plot(\n",
    "    column=\"wri_aqueduct-version_2-inunriver_historical_000000000WATCH_1980_rp00100-gha\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "2326d851",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>road_type</th>\n",
       "      <th>name</th>\n",
       "      <th>length_m</th>\n",
       "      <th>wri_aqueduct-version_2-inunriver_historical_000000000WATCH_1980_rp00100-gha</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>roade_126</td>\n",
       "      <td>trunk</td>\n",
       "      <td>Winneba Road</td>\n",
       "      <td>364.644366</td>\n",
       "      <td>0.617383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>roade_126</td>\n",
       "      <td>trunk</td>\n",
       "      <td>Winneba Road</td>\n",
       "      <td>158.050565</td>\n",
       "      <td>0.617383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>roade_127</td>\n",
       "      <td>trunk</td>\n",
       "      <td>Winneba Road</td>\n",
       "      <td>54.297481</td>\n",
       "      <td>0.617383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>roade_128</td>\n",
       "      <td>trunk</td>\n",
       "      <td>Winneba Road</td>\n",
       "      <td>715.652789</td>\n",
       "      <td>0.617383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>roade_128</td>\n",
       "      <td>trunk</td>\n",
       "      <td>Winneba Road</td>\n",
       "      <td>360.198545</td>\n",
       "      <td>0.617383</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            id road_type          name    length_m  \\\n",
       "126  roade_126     trunk  Winneba Road  364.644366   \n",
       "126  roade_126     trunk  Winneba Road  158.050565   \n",
       "127  roade_127     trunk  Winneba Road   54.297481   \n",
       "128  roade_128     trunk  Winneba Road  715.652789   \n",
       "128  roade_128     trunk  Winneba Road  360.198545   \n",
       "\n",
       "     wri_aqueduct-version_2-inunriver_historical_000000000WATCH_1980_rp00100-gha  \n",
       "126                                           0.617383                            \n",
       "126                                           0.617383                            \n",
       "127                                           0.617383                            \n",
       "128                                           0.617383                            \n",
       "128                                           0.617383                            "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "flood_col = \"wri_aqueduct-version_2-inunriver_historical_000000000WATCH_1980_rp00100-gha\"\n",
    "accra_exposure_100yr = accra_exposure[accra_exposure[flood_col] > 0.5].copy()\n",
    "accra_exposure_100yr[[\"id\", \"road_type\", \"name\", \"length_m\", flood_col]].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "portuguese-welding",
   "metadata": {},
   "source": [
    "## 3. Multiple failures"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "joint-legislation",
   "metadata": {},
   "source": [
    "Direct damage can be summed directly, if we assume that all roads are damaged in the same event:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "proprietary-drinking",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Total direct exposure, in Accra under a historical 100-year flood, is estimated to be 199km (of 1959km total roads).'"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(\n",
    "    \"Total direct exposure, \"\n",
    "    \"in Accra under a historical 100-year flood, is estimated to be \"\n",
    "    f\"{int(accra_exposure_100yr.length_m.sum() // 1e3)}km (of {int(accra_exposure.length_m.sum() // 1e3)}km total roads).\"\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "durable-distributor",
   "metadata": {},
   "source": [
    "Indirect damage can be assessed in different ways, some beyond the scope of this notebook. In this section, we look at the effects of disruption on a single route across the Greater Accra region. In a fuller analysis, we could extend this to look at many trips made within the region, and calculate the number of passengers or value of freight disrupted, along with the effects on transport time and cost.\n",
    "\n",
    "Start by creating a networkx graph from the roads, using `from_id`, `to_id` and `length_m`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "superb-american",
   "metadata": {},
   "outputs": [],
   "source": [
    "G = nx.Graph()\n",
    "G.add_edges_from(\n",
    "    (r.from_id, r.to_id, {\"id\": r.id, \"weight\": r.length_m})\n",
    "    for r in roads.itertuples()\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "round-difference",
   "metadata": {},
   "source": [
    "Then find the shortest path from one node to another:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "pleasant-saturn",
   "metadata": {},
   "outputs": [],
   "source": [
    "route_nodes = nx.algorithms.shortest_path(\n",
    "    G, \"roadn_6700\", \"roadn_1011\", weight=\"weight\"\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ranging-broadway",
   "metadata": {},
   "source": [
    "Then find the edges in the shortest path, and sum over their lengths to find the length of the route:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "sustained-irrigation",
   "metadata": {},
   "outputs": [],
   "source": [
    "def edge_ids_from_nodes(G, route_nodes):\n",
    "    next_nodes = iter(route_nodes)\n",
    "    next(next_nodes)\n",
    "    return [G.edges[u, v][\"id\"] for u, v in zip(route_nodes, next_nodes)]\n",
    "\n",
    "\n",
    "route_edge_ids = edge_ids_from_nodes(G, route_nodes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "smoking-stockholm",
   "metadata": {},
   "outputs": [],
   "source": [
    "route = roads[roads.id.isin(route_edge_ids)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "guided-region",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Best route: 5.24km'"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f\"Best route: {round(route.length_m.sum() / 1e3, 2)}km\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "talented-contemporary",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'Direct route'}>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = route.plot()\n",
    "ax.set_title(\"Direct route\")\n",
    "cx.add_basemap(ax, crs=route.crs, source=cx.providers.CartoDB.Positron)\n",
    "ax"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "mental-programming",
   "metadata": {},
   "source": [
    "Save figure to file:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "horizontal-prerequisite",
   "metadata": {},
   "outputs": [],
   "source": [
    "fig = ax.get_figure()\n",
    "fig.savefig(os.path.join(data_folder, \"results\", \"direct_route.png\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "individual-council",
   "metadata": {},
   "source": [
    "Define a function which runs the process we went through above:\n",
    "- build a graph\n",
    "- reweight all failed edges to have infinite cost - failed edges need to be provided as a list of `(\"from_id\", \"to_id\")` tuples.\n",
    "- find the shortest route from source to target\n",
    "- return a dataframe with the route's road segments"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "nasty-camera",
   "metadata": {},
   "outputs": [],
   "source": [
    "def calc_route(roads, failures, source, target):\n",
    "    G = nx.Graph()\n",
    "    G.add_edges_from(\n",
    "        (r.from_id, r.to_id, {\"id\": r.id, \"weight\": r.length_m})\n",
    "        for r in roads.itertuples()\n",
    "    )\n",
    "\n",
    "    reweight = {}\n",
    "    for from_id, to_id in failures:\n",
    "        reweight[(from_id, to_id)] = float(\"inf\")\n",
    "    nx.set_edge_attributes(G, reweight, \"weight\")\n",
    "\n",
    "    route_nodes = nx.algorithms.shortest_path(\n",
    "        G, source, target, weight=\"weight\"\n",
    "    )\n",
    "    route_edge_ids = edge_ids_from_nodes(G, route_nodes)\n",
    "    route = roads[roads.id.isin(route_edge_ids)]\n",
    "\n",
    "    return route"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "193fff97",
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_route(df):\n",
    "    ax = df.plot()\n",
    "    cx.add_basemap(ax, crs=route.crs, source=cx.providers.CartoDB.Positron)\n",
    "    return ax"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "suspended-prague",
   "metadata": {},
   "source": [
    "Test a single road failure to find if disruption makes a difference to the overall route: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "chicken-session",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best route: 5.24km\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "single_failures = [(\"roadn_8900\", \"roadn_9227\")]\n",
    "single_fail_route = calc_route(\n",
    "    roads, single_failures, \"roadn_6700\", \"roadn_1011\"\n",
    ")\n",
    "print(f\"Best route: {round(single_fail_route.length_m.sum() / 1e3, 2)}km\")\n",
    "plot_route(single_fail_route)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "small-cherry",
   "metadata": {},
   "source": [
    "The single road failure above has almost no effect. In our dataset, the lanes of this road are represented separately, so the routing algorithm finds a route which goes around the failed link by switching to the other lane, and the whole journey is only about 10m longer. \n",
    "\n",
    "Let's see the effect of both lanes flooded at the same time, which may be more realistic:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "decimal-cloud",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best route: 5.2km\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "both_lanes_failures = [\n",
    "    (\"roadn_8900\", \"roadn_9227\"),\n",
    "    (\"roadn_9226\", \"roadn_8899\"),\n",
    "]\n",
    "both_lanes_fail_route = calc_route(\n",
    "    roads, both_lanes_failures, \"roadn_6700\", \"roadn_1011\"\n",
    ")\n",
    "print(f\"Best route: {round(both_lanes_fail_route.length_m.sum() / 1e3, 1)}km\")\n",
    "plot_route(both_lanes_fail_route)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "useful-argument",
   "metadata": {},
   "source": [
    "This results in a much longer route around the flooded link.\n",
    "\n",
    "What if more than one road is disrupted at the same time? Let's test what happens if we assume that all roads exposed to 1-in-100 year flood events anywhere in Greater Accra are impassible."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "republican-payment",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best route: 6.3km\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "multi_failures = [\n",
    "    (road.from_id, road.to_id) for road in accra_exposure.itertuples()\n",
    "]\n",
    "multi_fail_route = calc_route(\n",
    "    roads, multi_failures, \"roadn_6700\", \"roadn_1011\"\n",
    ")\n",
    "print(f\"Best route: {round(multi_fail_route.length_m.sum() / 1e3, 1)}km\")\n",
    "plot_route(multi_fail_route)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "abroad-moscow",
   "metadata": {},
   "source": [
    "This gives a longer route again.\n",
    "\n",
    "This is a quick way of coming up with a hypothetical flood event, but it is not a rigorous method of analysis. With historic flood outlines, we could test and validate this simple model against past events. With an event set output from a hydrological model (rather than just the return-period hazard map that we've been using),  we could test an ensemble of potential events.\n",
    "\n",
    "The next section looks at testing all possible combinations of failures, which doesn't require any additional data or modelling. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "further-palace",
   "metadata": {},
   "source": [
    "## 4. Test combinations "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "thrown-breach",
   "metadata": {},
   "source": [
    "We can calculate the number of possible combinations of failures, and it gets very large quite quickly. \n",
    "\n",
    "For example, with three roads, {A, B, C}, there are three possible single failures ({only A}, {only B} or {only C}), three possible double failures ({A and B}, {B and C} or {A and C}), and one possible triple failure ({A, B and C}).\n",
    "\n",
    "More formally, if a set has $n$ elements, the number of ways of picking $k$ elements from it can be shown to be:\n",
    "\n",
    "$$ {\\binom {n}{k}}={\\frac {n(n-1)\\dotsb (n-k+1)}{k(k-1)\\dotsb 1}}={\\frac {n!}{k!(n-k)!}} $$\n",
    "\n",
    "and is zero when $ k > n $.\n",
    "\n",
    "The function `n_choose_k` calculates this:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "cognitive-absolute",
   "metadata": {},
   "outputs": [],
   "source": [
    "def n_choose_k(n, k):\n",
    "    if k > n:\n",
    "        return 0\n",
    "    return int(factorial(n) / (factorial(k) * factorial(n - k)))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "macro-repeat",
   "metadata": {},
   "source": [
    "Try out a few values to see how the function behaves:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "breeding-pointer",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "n_choose_k(3, 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "naughty-builder",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "19900"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "n_choose_k(200, 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "figured-examination",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1313400"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "n_choose_k(200, 3)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "liquid-family",
   "metadata": {},
   "source": [
    "Calculate some of the numbers of possible failure combinations within our road network:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "compatible-surrey",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "With 16269 roads\n",
      "there are 1 total possible combinations of 0 roads failing\n",
      "there are 16,269 total possible combinations of 1 roads failing\n",
      "there are 132,332,046 total possible combinations of 2 roads failing\n",
      "there are 717,548,464,094 total possible combinations of 3 roads failing\n"
     ]
    }
   ],
   "source": [
    "n = len(roads)\n",
    "print(f\"With {n} roads\")\n",
    "for k in range(4):\n",
    "    print(\n",
    "        f\"there are {n_choose_k(n, k):,} total possible combinations of {k} roads failing\"\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "departmental-designation",
   "metadata": {},
   "source": [
    "Use the `np.random.choice` to sample failure combinations at random from all roads (regardless of whether they intersect with any hazard):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "prerequisite-proof",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>osm_id</th>\n",
       "      <th>road_type</th>\n",
       "      <th>name</th>\n",
       "      <th>id</th>\n",
       "      <th>from_id</th>\n",
       "      <th>to_id</th>\n",
       "      <th>length_m</th>\n",
       "      <th>geometry</th>\n",
       "      <th>shapeName</th>\n",
       "      <th>shapeISO</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>4790604</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>4th Circular Road</td>\n",
       "      <td>roade_10</td>\n",
       "      <td>roadn_11</td>\n",
       "      <td>roadn_128</td>\n",
       "      <td>67.079142</td>\n",
       "      <td>LINESTRING (-0.16691 5.58161, -0.16683 5.58179...</td>\n",
       "      <td>Greater Accra Region</td>\n",
       "      <td>GH-AA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>4816055</td>\n",
       "      <td>secondary</td>\n",
       "      <td>None</td>\n",
       "      <td>roade_23</td>\n",
       "      <td>roadn_27</td>\n",
       "      <td>roadn_3844</td>\n",
       "      <td>7330.017899</td>\n",
       "      <td>LINESTRING (-0.79448 9.4879, -0.794 9.48839, -...</td>\n",
       "      <td>Northern Region</td>\n",
       "      <td>GH-NP</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     osm_id  road_type               name        id   from_id       to_id  \\\n",
       "10  4790604   tertiary  4th Circular Road  roade_10  roadn_11   roadn_128   \n",
       "23  4816055  secondary               None  roade_23  roadn_27  roadn_3844   \n",
       "\n",
       "       length_m                                           geometry  \\\n",
       "10    67.079142  LINESTRING (-0.16691 5.58161, -0.16683 5.58179...   \n",
       "23  7330.017899  LINESTRING (-0.79448 9.4879, -0.794 9.48839, -...   \n",
       "\n",
       "               shapeName shapeISO  \n",
       "10  Greater Accra Region    GH-AA  \n",
       "23       Northern Region    GH-NP  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "k = 500\n",
    "ids = np.random.choice(roads.id, size=k, replace=False)\n",
    "failed_roads = roads[roads.id.isin(ids)]\n",
    "failed_roads.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "underlying-popularity",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best route: 6.5km\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "random_failures = [\n",
    "    (road.from_id, road.to_id) for road in failed_roads.itertuples()\n",
    "]\n",
    "random_fail_route = calc_route(\n",
    "    roads, random_failures, \"roadn_6700\", \"roadn_1011\"\n",
    ")\n",
    "print(f\"Best route: {round(random_fail_route.length_m.sum() / 1e3, 1)}km\")\n",
    "plot_route(random_fail_route)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "electoral-begin",
   "metadata": {},
   "source": [
    "Sample 100 different sets of 500 failures to test how the best route length (for this arbitrarily-chosen route) changes under random failure conditions:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "compound-lender",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9e53d346c0ce45d8baa99e13411af560",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/100 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "k = 500\n",
    "n_samples = 100\n",
    "lengths = []\n",
    "for _ in tqdm(range(n_samples)):\n",
    "    ids = np.random.choice(roads.id, size=k, replace=False)\n",
    "    failed_roads = roads[roads.id.isin(ids)]\n",
    "    random_failures = [\n",
    "        (road.from_id, road.to_id) for road in failed_roads.itertuples()\n",
    "    ]\n",
    "    random_fail_route = calc_route(\n",
    "        roads, random_failures, \"roadn_6700\", \"roadn_1011\"\n",
    "    )\n",
    "    length = round(random_fail_route.length_m.sum() / 1e3, 1)\n",
    "    lengths.append(length)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "finished-passenger",
   "metadata": {},
   "outputs": [],
   "source": [
    "sampled_failures = pd.DataFrame({\"length_km\": lengths})"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "mounted-engineer",
   "metadata": {},
   "source": [
    "Calculate basic summary statistics from this sample:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "engaging-conditions",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>length_km</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>5.303000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.155995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>5.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>5.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>5.300000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>5.300000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>6.100000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        length_km\n",
       "count  100.000000\n",
       "mean     5.303000\n",
       "std      0.155995\n",
       "min      5.200000\n",
       "25%      5.200000\n",
       "50%      5.300000\n",
       "75%      5.300000\n",
       "max      6.100000"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sampled_failures.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "statistical-hawaiian",
   "metadata": {},
   "source": [
    "Plot all the route lengths as a scatter plot, to get some visual idea of the distribution:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "sharing-button",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='index', ylabel='length_km'>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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HD4ZyCAAAgCAhDTch/FAIAACgSSENNwAAAOFGuAEAAEYh3AAAAKMQbgAAgFFCGm6ysrIUFxcXyiEAAACC2P4Rv6YcPXpU5eXlamxsDNrep08fSdLXX3/dnt0DAAC0maNwU1xcrDvvvFOfffZZ0HbLsuTz+dTQ0OBKcQAAAG3lKNxMmjRJsbGxev/999WrV68m/+YUAACAFxyFm6KiIm3cuFFnn3222/UAAAC0i6MLigcNGqTKykq3awEAAGg32+HG7/cHbs8884wefvhhrV69WlVVVUH3+f3+UNYLAADQItunpbp16xZ0bY1lWbrqqquC2nBBMQAA8JrtcLNq1apQ1gEAAOAK2+Hm8ssvD/x7z549yszMPOVbUpZlae/eve5VBwAA0EaOLijOyclRRUXFKdurq6uVk5PT7qIAAACcchRujl9bc7IjR46oU6dO7S4KAADAqTb9zs306dMlST6fT7/61a+UkJAQuK+hoUFffPGFhg0b5mqBAAAAbdGmcLN582ZJ//zkZsuWLerYsWPgvo4dO+q8887TjBkz3K0QAACgDdoUbo5/Y+qOO+7QCy+8oKSkpJAUBQAA4JSjP7+wZMkSt+sAAABwhaNwc+ONNza53efzqVOnTurfv7/GjRuns846q13FAQAAtJWjb0slJSXpk08+0aZNmwLfmtq8ebM++eQTHTt2TG+99ZbOO+88FRYWulosAABAaxx9cpOenq5x48bpd7/7nTp0+Gc+amxs1LRp09S1a1e9+eabmjJlimbOnKl169a5WjAAAEBLfJZlWW3tlJaWpsLCQg0cODBo+3fffaeRI0eqsrJSW7Zs0WWXXaZDhw65Vatr/H6/kpOTVVNTw0XRAABECbvv345OSx07dkzffPPNKdu/+eabwB/N7NSpU5M/9HeiuXPnyufzBd3S09Nb7FNfX685c+YoKytL8fHx6tevn1555RUn0wBwGimpOKJV35ZrV2Wt16UACDFHp6XGjx+vyZMn65FHHtGFF14on8+nDRs2aP78+ZowYYIkac2aNRo8eHCr+xo8eLBWrlwZ+H9MTEyL7W+55RYdPHhQL7/8svr376/y8nIdO3bMyTQAnAYO1R3V1IIirS3+vz8ZM2pAmhbm5yo5Ic7DygCEiqNw89xzz6lnz576zW9+o4MHD0qSevbsqQcffFAzZ86UJI0ePVo//vGPWy8gNrbVT2uO++ijj7RmzRqVlJSoe/fukqTs7GwnUwBwmphaUKTCHZVB2wp3VOr+gs1aOvkij6oCEEqOTkvFxMRozpw5Kisr06FDh3To0CGVlZXpkUceCXzy0qdPH5155pmt7qu4uFgZGRnKycnR2LFjVVJS0mzb9957T8OHD9dvfvMb9e7dWwMHDtSMGTP0ww8/tDhGfX29/H5/0A2A+UoqjmhtcYUaTrq0sMGytLa4glNUgKEcfXJzovZckHvxxRdr6dKlGjhwoA4ePKh58+Zp5MiR2rp1q1JSUk5pX1JSonXr1qlTp0565513VFlZqXvuuUfV1dUtXnezYMECPfHEE47rBBCddlfXtXh/aVWtclITw1QNgHBx9G2pgwcPasaMGfrrX/+q8vJynbyL4xcVt1Vtba369eunhx9+OPBHOk80evRoffrppzpw4ICSk5MlScuWLdO//Mu/qLa2Vp07d25yv/X19aqvrw/83+/3KzMzk29LAYYrqTiiHz27ptn7V824gnADRBG735Zy9MnNpEmTtGfPHv3qV79Sr169Wv1WlF2JiYkaOnSoiouLm7y/V69e6t27dyDYSNI555wjy7K0b98+DRgwoMl+8fHxio+Pd6VGANGjb1oXjRqQpsIdlUGnpmJ8PuX1TyXYAIZyFG7WrVunTz/9VMOGDXO1mPr6em3fvl2XXXZZk/fn5eXpj3/8o44cOaIuXbpI+udv63To0MHW9T0ATj8L83N1f8HmoG9L5fVP1cL8XA+rAhBKjsJNZmbmKaeinJgxY4bGjBmjPn36qLy8XPPmzZPf79fEiRMlSbNnz9b+/fu1dOlSSdK4ceP05JNP6o477tATTzyhyspKPfTQQ7rzzjubPSUF4PSWnBCnpZMv0q7KWpVW1So7JZFPbADDOfq21PPPP69Zs2aptLS0XYPv27dP+fn5Ouuss3TjjTeqY8eOWr9+vbKysiRJZWVl2rNnT6B9ly5dtGLFCh06dEjDhw/XbbfdpjFjxujFF19sVx0AzJeTmqgrz+pBsAFOA44uKD7jjDNUV1enY8eOKSEhQXFxwT+EVV1d7VqBocCfXwAAIPqE9ILi559/3mldAAAAIeUo3By/JgYAACDSOLrmRpJ27typRx99VPn5+SovL5f0zz+PsHXrVteKAwAAaCtH4WbNmjUaOnSovvjiCy1btkxHjhyRJP3tb3/T448/7mqBAAAAbeEo3MyaNUvz5s3TihUr1LFjx8D2K6+8Up9//rlrxQEAALSVo3CzZcsW/fznPz9le1pamqqqqtpdFAAAgFOOwk23bt1UVlZ2yvbNmzerd+/e7S4KAADAKUfhZty4cZo5c6YOHDggn8+nxsZGFRYWasaMGZowYYLbNQIAANjmKNw89dRT6tOnj3r37q0jR45o0KBBuuyyyzRy5Eg9+uijbtcIAABgm6NfKD6upKREmzZtUmNjo3Jzc5v9q9yRhl8oBgAg+rj+C8XTp09v8f7169cH/v3b3/7W7m4BAABcZTvcbN682VY7n8/nuBgAAID2sh1uVq1aFco6AAAAXOH4zy8AAABEIsINAAAwCuEGAAAYhXADAACMQrgBAABGIdwAAACjEG4AAIBRCDcAAMAohBsAAGAUwg0AADAK4QYAABiFcAMAAIxCuAEAAEax/VfB4a2SiiPaXV2n7JRE5aQmel0OAES1aHhNjYYaIxXhJsIdqjuqqQVFWltcEdg2akCaFubnKjkhzsPKACD6RMNrajTUGOk4LRXhphYUqXBHZdC2wh2Vur9gs0cVAUD0iobX1GioMdIRbiJYScURrS2uUINlBW1vsCytLa7QrspajyoDgOgTDa+p0VBjNCDcRLDd1XUt3l9axYMcAOyKhtfUaKgxGhBuIlhW94QW789O4QIzALArGl5To6HGaEC4iWB907po1IA0xfh8QdtjfD6NGpDG1fMA0AbR8JoaDTVGA8JNhFuYn6u8/qlB2/L6p2phfq5HFQFA9IqG19RoqDHS+SzrpKuWTgN+v1/JycmqqalRUlKS1+XYsquyVqVVtfzeAQC4IBpeU6OhxnCz+/5NuImScAMAwOnO7vs3p6UAAIBRCDcAAMAohBsAAGAUwg0AADAK4QYAABiFcAMAAIxCuAEAAEYh3AAAAKMQbgAAgFEINwAAwCiEGwAAYBTCDQAAMArhBgAAGIVwAwAAjEK4AQAARiHcAAAAoxBuAACAUQg3AADAKIQbAABgFMINAAAwCuEGAAAYhXADAACMQrgBAABGIdwAAACjEG4AAIBRCDcAAMAohBsAAGCUWK8LwKlKKo5od3WdslMSlZOaaLuN036IPl4fR6/HDxWvn1fRuq5e1+31+HaY+hiJtHqO8zTczJ07V0888UTQtp49e+rAgQOt9i0sLNTll1+uIUOGqKioKEQVhtehuqOaWlCktcUVgW2jBqRpYX6ukhPimm0zom+KfD7ps51Vbep3chtEPq+Po9fjh4rXz6toXVev6/Z6fDtMfYxEWj0n8/y01ODBg1VWVha4bdmypdU+NTU1mjBhgq666qowVBg+UwuKVLijMmhb4Y5K3V+wucU2n5dUBb0A2+13chtEPq+Po9fjh4rXz6toXVev6/Z6fDtMfYxEWj0n8zzcxMbGKj09PXBLS0trtc9dd92lcePGacSIEbbGqK+vl9/vD7pFmpKKI1pbXKEGywra3mBZWltcoV2Vtc22aYqdfie2QeTz+jh6PX6oeP28itZ19bpur8e3w9THSKTV0xTPw01xcbEyMjKUk5OjsWPHqqSkpMX2S5Ys0c6dO/X444/bHmPBggVKTk4O3DIzM9tbtut2V9e1eH9pVW2rbZz2K63y/oGI1nl9HL0eP1S8fl5F67p6XbfX49th6mMk0uppiqfh5uKLL9bSpUu1fPlyLV68WAcOHNDIkSNVVVXVZPvi4mLNmjVLr7/+umJj7V8uNHv2bNXU1ARue/fudWsKrsnqntDi/dkpia22cdovOyVyLgJD87w+jl6PHypeP6+idV29rtvr8e0w9TESafU0xdNwc9111+mmm27S0KFDdfXVV+uDDz6QJL366quntG1oaNC4ceP0xBNPaODAgW0aJz4+XklJSUG3SNM3rYtGDUhTjM8XtD3G59OoAWnKSU1stk1T7PQ7sQ0in9fH0evxQ8Xr51W0rqvXdXs9vh2mPkYirZ6meH5a6kSJiYkaOnSoiouLT7nv8OHD+vLLL3XfffcpNjZWsbGx+vWvf62vvvpKsbGx+uSTTzyo2F0L83OV1z81aFte/1QtzM9tsc2Ivika2S+lzf1OboPI5/Vx9Hr8UPH6eRWt6+p13V6Pb4epj5FIq+dkPsuycRVdmNTX16tfv3765S9/qcceeyzovsbGRm3bti1o2+9//3t98sknevvtt5WTk6PERHtp0e/3Kzk5WTU1NRH5Kc6uylqVVtW2+LsBTbVx2g/Rx+vj6PX4oeL18ypa19Xrur0e3w5THyPhrsfu+7en4WbGjBkaM2aM+vTpo/Lycs2bN09r1qzRli1blJWVpdmzZ2v//v1aunRpk/3nzp2rd999t82/cxPp4QYAAJzK7vu3pz/it2/fPuXn56uyslJpaWm65JJLtH79emVlZUmSysrKtGfPHi9LBAAAUSaiTkuFC5/cAAAQfey+f0fUBcUAAADtRbgBAABGIdwAAACjEG4AAIBRCDcAAMAohBsAAGAUwg0AADAK4QYAABiFcAMAAIxCuAEAAEYh3AAAAKMQbgAAgFEINwAAwCiEGwAAYBTCDQAAMArhBgAAGIVwAwAAjEK4AQAARiHcAAAAoxBuAACAUQg3AADAKIQbAABgFMINAAAwCuEGAAAYhXADAACMQrgBAABGifW6AEglFUe0u7pO2SmJyklNNGZ8u/s9uZ2dfuFs47RGp9zad1P7CdU8wr0eXj9n7LCz1tE4D6d9vJ5rNDzWnXLrGIWyX7gRbjx0qO6ophYUaW1xRWDbqAFpWpifq+SEuKgd3+5+m2p3RkKc/l73j2b72dm3W22c1uiUW8ejqf2M6Jsin0/6bGeVq/MI5WPY7jzC+Zyxw85jJlrn0VqNkXjMQvm88vqYuXWM7MwjEuffEp9lWZbXRYSb3+9XcnKyampqlJSU5FkdE17eoMIdlWo44RDE+HzK65+qpZMvitrx7e63qXYnO7mfnX271cZpjU65dTzs1NwUt8YK5Xo0JZzPGTvCuf6h5OTYRuIxC+Xzyutj5tYxsjOPSJm/3fdvrrnxSEnFEa0trjjlRaDBsrS2uEK7Kmujcny7+22u3clO7Gdn3261cVqjU24dD7s1N8WtsUK5Hk0J13PGjnCufyg5ObaReMxC/bzy8pi5eYxam0ckzr81hBuP7K6ua/H+0qrQPlhCNb7d/bbWrql+dvbtVhunNTrl1vFoa82hHCuU6+H2eG4J5/qHkpNjG4nHLFzPKy+OWSiOUXPziMT5t4ZrbjyS1T2hxfuzU0J7oVaoxre739baNdWvtTOobrZxWqNTbh2PttYcyrFCuR5uj+eWcK5/KDk5tpF4zML1vPLimIXiGDU3j0icf2v45MYjfdO6aNSANMX4fEHbY3w+jRqQFvKr0EM1vt39NtfuZCf2s7Nvt9o4rdEpt46H3Zqb4tZYoVyPpoTrOWNHONc/lJwc20g8ZqF+Xnl5zNw8Rq3NIxLn3xrCjYcW5ucqr39q0La8/qlamJ8b1ePb3W9T7c446ar7k/vZ2bdbbZzW6JRbx6Op/Yzom6KR/VKCtrkxj1A+hu3OI5zPGTvsPGaidR6t1RiJxyyUzyuvj5lbx8jOPCJx/i3h21IeflvquF2VtSqtqvXsdwNCNb7d/Z7czk6/cLZxWqNTbu27qf2Eah7hXg+vnzN22FnraJyH0z5ezzUaHutOuXWMQtnPLXbfvwk3ERBuAABA6/gqOAAAOC0RbgAAgFEINwAAwCiEGwAAYBTCDQAAMArhBgAAGIVwAwAAjEK4AQAARiHcAAAAoxBuAACAUQg3AADAKIQbAABgFMINAAAwCuEGAAAYhXADAACMQrgBAABGIdwAAACjEG4AAIBRCDcAAMAohBsAAGAUwg0AADAK4QYAABiFcAMAAIxCuAEAAEYh3AAAAKMQbgAAgFEINwAAwCiehpu5c+fK5/MF3dLT05ttv2zZMl1zzTVKS0tTUlKSRowYoeXLl4ex4paVVBzRqm/LtauyttltTbUJd01O+tiZh52xnM7frX2Hs0ana+S0nnA/tlrjdD1CuUZe93PCrXX0eq3t7Mut11A3j6uT8ZzW6NbahnMedscPt1jPRv7/DR48WCtXrgz8PyYmptm2a9eu1TXXXKP58+erW7duWrJkicaMGaMvvvhCubm54Si3SYfqjmpqQZHWFlcEto3omyKfT/psZ1Vg2xkJcfp73T8C/x81IE0L83OVnBAXlppaG8/pPJpqc/JYTuqx2y+cbezW6GSNnMy9PXWHitP1COUaed3PCTfXMZyPx1DOrbXXUDePq9PXNSc1OjkeXs/D7vhevRb5LMuywjriCebOnat3331XRUVFjvcxePBg3XrrrXrsscds9/H7/UpOTlZNTY2SkpIcj33chJc3qHBHpRrauJQxPp/y+qdq6eSL2l2DnZpaG8/pPJpy8lhO6rHbL5xt7NZoh5Pj0VQfp3WHSigfR3bGcutx5WY/J9xcRztCtdZ29+VGzaF+DtsZz40+duv2ch52x3f7+WH3/dvza26Ki4uVkZGhnJwcjR07ViUlJbb7NjY26vDhw+revXuL7err6+X3+4NubimpOKK1xRWOnqQNlqW1xRWuf3TXXE0tjdeeeTTlxLGc1GN3HuFs05Ya7XByPE7u47TuUAnl48juWG48rtzs54Tb62hHKNa6KW7OLdzPYTvjudHHTt1ezqMt43v1WuRpuLn44ou1dOlSLV++XIsXL9aBAwc0cuRIVVVVtd5Z0rPPPqva2lrdcsstLbZbsGCBkpOTA7fMzEw3ypck7a6ua/c+SqvcPeit1dTUeG7Mo7mxnNQj2ZtHONs4qdEOJ8fjeB+ndYdKKB9HbR2rPY8rN/s5Eap1tMPNtW5KKOYW7uewnfHc6HO8nx3hnIeT8cP9WuTpNTfXXXdd4N9Dhw7ViBEj1K9fP7366quaPn16i30LCgo0d+5c/c///I969OjRYtvZs2cH7c/v97sWcLK6J7R7H9kpiS5U8n9aq6mp8dyYR3NjtXbms7n525mHnX271cZJjXY4OR7H+zg51qEUysdRW8dqz+PKzX5OhGod7XBzrZsSirmF+zlsZzw3+hzvZ0c45+Fk/HC/Fnl+WupEiYmJGjp0qIqLi1ts99Zbb2ny5Mn67//+b1199dWt7jc+Pl5JSUlBN7f0TeuiUQPSFOPztblvjM+nUQPSlJPq7kFvrqaWxmvPPJpy4lhO6rE7j3C2aUuNdjg5Hif3cVp3qITycWR3LDceV272c8LtdbQjFGvdFDfnFu7nsJ3x3Ohjp24v59GW8b16LYqocFNfX6/t27erV69ezbYpKCjQpEmT9MYbb+iGG24IY3XNW5ifq7z+qUHbRvRN0ch+KUHbzjjpavG8/qlamB+ab3k1VVNr4zmdR1NtTh7LST12+4Wzjd0anayRnf021cdp3aHidD1CuUZe93PCzXUM5+PRDqdza+011M3j6vR1zUmNTo6H1/OwO75Xr0WefltqxowZGjNmjPr06aPy8nLNmzdPa9as0ZYtW5SVlaXZs2dr//79Wrp0qaR/BpsJEybohRde0I033hjYT+fOnZWcnGx7XLe/LXXcrspalVbVKjslMZBST97WVJtQcjKe03nYGcvp/N3adzhrdLpGTusJ92OrNU7XI5Rr5HU/J9xaR6/X2q25hft1xsl4Tmt0a23DOQ+747vF7vu3p+Fm7NixWrt2rSorK5WWlqZLLrlETz75pAYNGiRJmjRpkkpLS7V69WpJ0hVXXKE1a9acsp+JEyfqv/7rv2yPG6pwAwAAQicqwo1XCDcAAESfqPmdGwAAADcRbgAAgFEINwAAwCiEGwAAYBTCDQAAMArhBgAAGIVwAwAAjEK4AQAARiHcAAAAo8R6XYAXjv8os9/v97gSAABg1/H37db+uMJpGW4OHz4sScrMzPS4EgAA0FaHDx9u8Q9mn5Z/W6qxsVHff/+9unbtKp/P59p+/X6/MjMztXfvXv5mVYix1uHDWocPax0+rHV4ubXelmXp8OHDysjIUIcOzV9Zc1p+ctOhQwedeeaZIdt/UlIST5YwYa3Dh7UOH9Y6fFjr8HJjvVv6xOY4LigGAABGIdwAAACjEG5cFB8fr8cff1zx8fFel2I81jp8WOvwYa3Dh7UOr3Cv92l5QTEAADAXn9wAAACjEG4AAIBRCDcAAMAohBsAAGAUwo2Lfv/73ysnJ0edOnXSBRdcoE8//dTrkqLaggULdOGFF6pr167q0aOHfvazn+nbb78NamNZlubOnauMjAx17txZV1xxhbZu3epRxeZYsGCBfD6fHnjggcA21to9+/fv1+23366UlBQlJCRo2LBh2rhxY+B+1to9x44d06OPPqqcnBx17txZffv21a9//Ws1NjYG2rDezqxdu1ZjxoxRRkaGfD6f3n333aD77axrfX297r//fqWmpioxMVE//elPtW/fvvYXZ8EVb775phUXF2ctXrzY2rZtmzVt2jQrMTHR2r17t9elRa1rr73WWrJkifX1119bRUVF1g033GD16dPHOnLkSKDN008/bXXt2tX605/+ZG3ZssW69dZbrV69ell+v9/DyqPbhg0brOzsbOvcc8+1pk2bFtjOWrujurraysrKsiZNmmR98cUX1q5du6yVK1daO3bsCLRhrd0zb948KyUlxXr//fetXbt2WX/84x+tLl26WM8//3ygDevtzIcffmjNmTPH+tOf/mRJst55552g++2s65QpU6zevXtbK1assDZt2mRdeeWV1nnnnWcdO3asXbURblxy0UUXWVOmTAnadvbZZ1uzZs3yqCLzlJeXW5KsNWvWWJZlWY2NjVZ6err19NNPB9r8v//3/6zk5GTrD3/4g1dlRrXDhw9bAwYMsFasWGFdfvnlgXDDWrtn5syZ1qWXXtrs/ay1u2644QbrzjvvDNp24403WrfffrtlWay3W04ON3bW9dChQ1ZcXJz15ptvBtrs37/f6tChg/XRRx+1qx5OS7ng6NGj2rhxo0aPHh20ffTo0frss888qso8NTU1kqTu3btLknbt2qUDBw4ErXt8fLwuv/xy1t2he++9VzfccIOuvvrqoO2stXvee+89DR8+XDfffLN69Oih3NxcLV68OHA/a+2uSy+9VH/961/13XffSZK++uorrVu3Ttdff70k1jtU7Kzrxo0b9Y9//COoTUZGhoYMGdLutT8t/3Cm2yorK9XQ0KCePXsGbe/Zs6cOHDjgUVVmsSxL06dP16WXXqohQ4ZIUmBtm1r33bt3h73GaPfmm29q06ZN+t///d9T7mOt3VNSUqJFixZp+vTpeuSRR7RhwwZNnTpV8fHxmjBhAmvtspkzZ6qmpkZnn322YmJi1NDQoKeeekr5+fmSeGyHip11PXDggDp27KgzzjjjlDbtfe8k3LjI5/MF/d+yrFO2wZn77rtPf/vb37Ru3bpT7mPd22/v3r2aNm2aPv74Y3Xq1KnZdqx1+zU2Nmr48OGaP3++JCk3N1dbt27VokWLNGHChEA71todb731ll577TW98cYbGjx4sIqKivTAAw8oIyNDEydODLRjvUPDybq6sfaclnJBamqqYmJiTkma5eXlp6RWtN3999+v9957T6tWrdKZZ54Z2J6eni5JrLsLNm7cqPLycl1wwQWKjY1VbGys1qxZoxdffFGxsbGB9WSt269Xr14aNGhQ0LZzzjlHe/bskcTj2m0PPfSQZs2apbFjx2ro0KEaP368HnzwQS1YsEAS6x0qdtY1PT1dR48e1d///vdm2zhFuHFBx44ddcEFF2jFihVB21esWKGRI0d6VFX0syxL9913n5YtW6ZPPvlEOTk5Qffn5OQoPT09aN2PHj2qNWvWsO5tdNVVV2nLli0qKioK3IYPH67bbrtNRUVF6tu3L2vtkry8vFN+0uC7775TVlaWJB7Xbqurq1OHDsFvdTExMYGvgrPeoWFnXS+44ALFxcUFtSkrK9PXX3/d/rVv1+XICDj+VfCXX37Z2rZtm/XAAw9YiYmJVmlpqdelRa27777bSk5OtlavXm2VlZUFbnV1dYE2Tz/9tJWcnGwtW7bM2rJli5Wfn89XOF1y4relLIu1dsuGDRus2NhY66mnnrKKi4ut119/3UpISLBee+21QBvW2j0TJ060evfuHfgq+LJly6zU1FTr4YcfDrRhvZ05fPiwtXnzZmvz5s2WJOu3v/2ttXnz5sBPoNhZ1ylTplhnnnmmtXLlSmvTpk3Wj370I74KHmn+4z/+w8rKyrI6duxonX/++YGvLMMZSU3elixZEmjT2NhoPf7441Z6eroVHx9vjRo1ytqyZYt3RRvk5HDDWrvnz3/+szVkyBArPj7eOvvss62XXnop6H7W2j1+v9+aNm2a1adPH6tTp05W3759rTlz5lj19fWBNqy3M6tWrWryNXrixImWZdlb1x9++MG67777rO7du1udO3e2fvKTn1h79uxpd20+y7Ks9n32AwAAEDm45gYAABiFcAMAAIxCuAEAAEYh3AAAAKMQbgAAgFEINwAAwCiEGwAAYBTCDQAAMArhBkDEuOKKK/TAAw847l9aWiqfz6eioiLXagIQfWK9LgAAjlu2bJni4uK8LgNAlCPcAIgY3bt397oEAAbgtBSAiHHiaans7GzNnz9fd955p7p27ao+ffropZdeCmq/YcMG5ebmqlOnTho+fLg2b958yj63bdum66+/Xl26dFHPnj01fvx4VVZWSpJWr16tjh076tNPPw20f/bZZ5WamqqysrLQTRRASBFuAESsZ599NhBa7rnnHt1999365ptvJEm1tbX6yU9+orPOOksbN27U3LlzNWPGjKD+ZWVluvzyyzVs2DB9+eWX+uijj3Tw4EHdcsstkv4vTI0fP141NTX66quvNGfOHC1evFi9evUK+3wBuIPTUgAi1vXXX6977rlHkjRz5kw999xzWr16tc4++2y9/vrramho0CuvvKKEhAQNHjxY+/bt09133x3ov2jRIp1//vmaP39+YNsrr7yizMxMfffddxo4cKDmzZunlStX6pe//KW2bt2q8ePH6+c//3nY5wrAPYQbABHr3HPPDfzb5/MpPT1d5eXlkqTt27frvPPOU0JCQqDNiBEjgvpv3LhRq1atUpcuXU7Z986dOzVw4EB17NhRr732ms4991xlZWXp+eefD81kAIQN4QZAxDr5m1M+n0+NjY2SJMuyWu3f2NioMWPG6JlnnjnlvhNPO3322WeSpOrqalVXVysxMbE9ZQPwGNfcAIhKgwYN0ldffaUffvghsG39+vVBbc4//3xt3bpV2dnZ6t+/f9DteIDZuXOnHnzwQS1evFiXXHKJJkyYEAhQAKIT4QZAVBo3bpw6dOigyZMna9u2bfrwww/17//+70Ft7r33XlVXVys/P18bNmxQSUmJPv74Y915551qaGhQQ0ODxo8fr9GjR+uOO+7QkiVL9PXXX+vZZ5/1aFYA3EC4ARCVunTpoj//+c/atm2bcnNzNWfOnFNOP2VkZKiwsFANDQ269tprNWTIEE2bNk3Jycnq0KGDnnrqKZWWlga+Yp6enq7//M//1KOPPsqvHANRzGfZOXENAAAQJfjkBgAAGIVwAwAAjEK4AQAARiHcAAAAoxBuAACAUQg3AADAKIQbAABgFMINAAAwCuEGAAAYhXADAACMQrgBAABG+f8APfRX0C/NgQAAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sampled_failures.reset_index().plot.scatter(x=\"index\", y=\"length_km\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "exceptional-clark",
   "metadata": {},
   "source": [
    "Plot the empirical cumulative distribution function to summarise the distribution in another way. \n",
    "\n",
    "In the samples we've taken while testing this tutorial, it shows most of the time 500 random failures in the road network has little effect on the route length (around 55-60km), but some combinations of failures see a route length of up to around 180km."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "swiss-singapore",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='length_km', ylabel='Density'>"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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uCAACF+EG8IM5736nModTQ9LjdPvYHmaXAwABzfRwM2/ePGVmZsputysrK0vr168/4/5LlizR4MGDFRERodTUVN1yyy06fvy4n6oFmu+TXQVasT1foSEWPXbVIIWGWMwuCQACmqnhZunSpbr33nv10EMPaevWrRo7dqwmTZqknJycBvffsGGDpk2bpunTp+u7777TP/7xD3355Ze67bbb/Fw50DRVNS498vZ3kqRbRnfXgLQYkysCgMBnarh5+umnNX36dN12223q37+/nnnmGaWnp2v+/PkN7v/555+re/fuuueee5SZmakLL7xQd9xxhzZv3uznyoGmeeGTvcopqlBKjF33XtrH7HIAICiYFm6qq6u1ZcsWTZgwod72CRMm6NNPP23wmNGjR+vw4cNasWKFDMPQ0aNHtWzZMl1++eX+KBlolr0FZd61ox65YoCibFaTKwKA4GBauCksLJTL5VJycnK97cnJycrPz2/wmNGjR2vJkiWaOnWqwsPDlZKSori4OP35z39u9HUcDodKSkrq3YC2ZhiG/vOtb1XjMvTTvp112cAUs0sCgKBh+oBii6X+4ErDME7bVmfHjh2655579PDDD2vLli364IMPtH//fs2YMaPR5587d65iY2O9t/T0dJ/WDzTk7a+P6LPs47JZQzTn5wMb/ZsGAPieaeEmMTFRoaGhp7XSFBQUnNaaU2fu3LkaM2aMfve73+m8887TxIkTNW/ePC1YsEB5eXkNHjN79mwVFxd7b4cOHfL5ewFOVVHt1Nz3d0qS7r64lzISIkyuCACCi2nhJjw8XFlZWVq9enW97atXr9bo0aMbPKaiokIhIfVLDg31LDpoGEaDx9hsNsXExNS7AW3pr+v262iJQ13iOuk25rQBAL8ztVtq5syZevnll7VgwQLt3LlT9913n3JycrzdTLNnz9a0adO8+19xxRVavny55s+fr+zsbG3cuFH33HOPRowYobS0NLPeBuBVUFKll9Z5BhE/MKkfK34DgAlMvXxj6tSpOn78uObMmaO8vDwNHDhQK1asULdu3SRJeXl59ea8ufnmm1VaWqrnn39e999/v+Li4nTxxRfr8ccfN+stAPU8tWq3KqpdGpoRpyvOSzW7HAAIShajsf6cAFVSUqLY2FgVFxfTRQWf2plXosnPrZdhSP/8t1HK6hZvdkkAEDCa8/1t+tVSQCAwDEOPrdgpw5AuH5RKsAEAExFuAB9Ys/uY1u8pVHhoiB64rJ/Z5QBAUCPcAK3kdLn12HueS79vHtOdS78BwGSEG6CVlm/N1Z6CMsVFhOmucb3MLgcAgh7hBmiFaqdbz320R5J05097KrZTmMkVAQAIN0Ar/GPLIR0+UanO0TbdeEF3s8sBAIhwA7RYVY1Lz3+8V5Kn1aZTOBP2AUB7QLgBWuiNL3KUV1yl1Fi7fjkiw+xyAAC1CDdAC1RWu/TCGs8yC3eN68UyCwDQjhBugBZ49fODOlbqWRzzuuHpZpcDADgF4QZopnKHU/PXelpt7rmkl8Kt/DMCgPaET2Wgmf7vswMqKq9Wt4QIXT2sq9nlAAB+hHADNENltUsvr98vSfrtJb0VFso/IQBob/hkBpph6Zc5KiqvVnp8J/18cJrZ5QAAGkC4AZqoxuXWX2tbbf7fT3rKSqsNALRLfDoDTfTOtiPKPVmpxKhwXZvFWBsAaK8IN0ATuN2G5tfOa3PrhZnMawMA7RjhBmiCj74v0J6CMkXbrPr1Bd3MLgcAcAaEG+AsDMPQvDWeNaR+PaqbYuys/A0A7RnhBjiLTfuLtDXnpMKtIbplTHezywEAnAXhBjiLebVjba4b3lVJ0XaTqwEAnA3hBjiD744Ua93uYwqxSP9vbE+zywEANAHhBjiDhRsPSJImD0pVRkKEucUAAJqEcAM0orDMoX99fUSS5/JvAEDHQLgBGvHaphxVu9wanB6nYRnnmF0OAKCJCDdAA6qdbv3t84OSpFu5QgoAOhTCDdCAFdvzdKzUoaRomyYNTDW7HABAMxBugB8xDEMLNnoWyLzxgm4Kt/LPBAA6Ej61gR/5KueEvjlcrHBriG4YmWF2OQCAZiLcAD+yoPby7ymD05QQZTO3GABAsxFugFMcOVmpD77NlyTdMobLvwGgIyLcAKf42+cH5XIbGpkZrwFpMWaXAwBoAcINUMvhdGnpl4ck0WoDAB0Z4QaotfK7oyoqr1ZKjF3j+yeZXQ4AoIUIN0Ct1zZ5Ju277vx0WUP5pwEAHRWf4ICkfcfK9Hl2kUIs0vXnp5tdDgCgFQg3gKTXN+VIksb1TVJaXCeTqwEAtAbhBkGvqsalZV8dliQm7QOAAEC4QdBb+V2+TlbUKC3Wrp/2ZSAxAHR0hBsEvSW1XVJTz89QaIjF5GoAAK1FuEFQ21tQqi/2Fyk0xKKpDCQGgIBAuEFQe22TZ9K+i/slKSXWbnI1AABfINwgaFXVuPTPuoHEIxhIDACBgnCDoLXyu3wVV9aoS1wn/aRPZ7PLAQD4COEGQWvZFk+rzS+yujKQGAACCOEGQenIyUpt2FsoyRNuAACBg3CDoPTm1lwZhjQyM17p8RFmlwMA8CHCDYKOYRj65yldUgCAwEK4QdD5KueksgvL1SksVJMGpZpdDgDAxwg3CDp1l39PGpSiKJvV5GoAAL5GuEFQqapx6Z1tRyRJvxhGlxQABCLCDYLKqh1HVVrlVJe4TrqgR4LZ5QAA2gDhBkGlbiDx1cO6KIS5bQAgIBFuEDSOllRp/Z5jkqRr6JICgIBFuEHQeHNrrtyGNLzbOeqeGGl2OQCANkK4QVBgbhsACB6EGwSFnXml2lNQpnBriCafx9w2ABDICDcICv+qvfx7XN/OirGHmVwNAKAtEW4Q8Nxuwzu3zZQhXUyuBgDQ1gg3CHhf5ZxQ7slKRdmsurhfktnlAADamOnhZt68ecrMzJTdbldWVpbWr19/xv0dDoceeughdevWTTabTT179tSCBQv8VC06orouqQkDkmUPCzW5GgBAWzN1YZ2lS5fq3nvv1bx58zRmzBi99NJLmjRpknbs2KGMjIwGj7nuuut09OhRvfLKK+rVq5cKCgrkdDr9XDk6CqfLrRXb8yRJPx+SZnI1AAB/sBiGYZj14iNHjtSwYcM0f/5877b+/fvryiuv1Ny5c0/b/4MPPtD111+v7OxsxcfHt+g1S0pKFBsbq+LiYsXExLS4dnQM63Yf07QFXyg+Mlybfn+JwkJNb6wEALRAc76/Tfukr66u1pYtWzRhwoR62ydMmKBPP/20wWP+9a9/afjw4XriiSfUpUsX9enTR7NmzVJlZWWjr+NwOFRSUlLvhuDx9teeLqnJg1IINgAQJEzrliosLJTL5VJycnK97cnJycrPz2/wmOzsbG3YsEF2u11vvvmmCgsLdeedd6qoqKjRcTdz587Vo48+6vP60f5V1bi06jvP3xJXSQFA8DD9P2UtlvqLFxqGcdq2Om63WxaLRUuWLNGIESM0efJkPf3001q0aFGjrTezZ89WcXGx93bo0CGfvwe0T2t2FajU4VRarF1ZGeeYXQ4AwE9Ma7lJTExUaGjoaa00BQUFp7Xm1ElNTVWXLl0UGxvr3da/f38ZhqHDhw+rd+/epx1js9lks9l8Wzw6hLouqSsGp7ECOAAEkRa13Ozfv7/VLxweHq6srCytXr263vbVq1dr9OjRDR4zZswYHTlyRGVlZd5tu3fvVkhIiLp2Zb0g/KC0qkYffV8gyRNuAADBo0XhplevXho3bpxeffVVVVVVtfjFZ86cqZdfflkLFizQzp07dd999yknJ0czZsyQ5OlSmjZtmnf/G264QQkJCbrlllu0Y8cOrVu3Tr/73e906623qlOnTi2uA4Fn9Y6jqna61bNzpM5N46o4AAgmLQo327Zt09ChQ3X//fcrJSVFd9xxh7744otmP8/UqVP1zDPPaM6cORoyZIjWrVunFStWqFu3bpKkvLw85eTkePePiorS6tWrdfLkSQ0fPly/+tWvdMUVV+i5555rydtAAFux3dPdefl5aY2O4QIABKZWzXPjdDr1zjvvaNGiRXr//ffVu3dvTZ8+XTfeeKM6d+7syzp9hnluAl9pVY2y/vihqp1urbz3J+qbEm12SQCAVvLbPDdWq1VXXXWV/v73v+vxxx/Xvn37NGvWLHXt2lXTpk1TXl5ea54eaJGPvy9QtdOtHomR6pMcZXY5AAA/a1W42bx5s+68806lpqbq6aef1qxZs7Rv3z59/PHHys3N1ZQpU3xVJ9Bk79d2SU0alEKXFAAEoRZdCv70009r4cKF2rVrlyZPnqzFixdr8uTJCgnxZKXMzEy99NJL6tevn0+LBc6motqpNbs9V0lNGphqcjUAADO0KNzMnz9ft956q2655RalpKQ0uE9GRoZeeeWVVhUHNNeaXcdUVeNWenwnrpICgCDVonCzevVqZWRkeFtq6hiGoUOHDikjI0Ph4eG66aabfFIk0FR1K4BPHphKlxQABKkWjbnp2bOnCgsLT9teVFSkzMzMVhcFtERVjUsf107cN2kQXVIAEKxaFG4au3q8rKxMdru9VQUBLbVu9zFVVLuUFmvX4K6xZz8AABCQmtUtNXPmTEmexS4ffvhhRUREeB9zuVzatGmThgwZ4tMCgaZ6/1vPVVKX0SUFAEGtWeFm69atkjwtN9u3b1d4eLj3sfDwcA0ePFizZs3ybYVAEzicLn2446gkafKghge5AwCCQ7PCzSeffCJJuuWWW/Tss88ywy/ajY17C1XqcCop2qZhGeeYXQ4AwEQtulpq4cKFvq4DaJW6taQuG5iikBC6pAAgmDU53Fx99dVatGiRYmJidPXVV59x3+XLl7e6MKCpnC63Ptzp6ZK6bCBdUgAQ7JocbmJjY72DNGNjuRIF7ccXB4p0sqJG50SEaUT3eLPLAQCYrMnh5tSuKLql0J6srh1IfHG/ZFlDW7VcGgAgALTom6CyslIVFRXe+wcPHtQzzzyjVatW+awwoCkMw/CGm0sHJJtcDQCgPWhRuJkyZYoWL14sSTp58qRGjBihp556SlOmTNH8+fN9WiBwJt/nl+rwiUrZrCH6SZ9Es8sBALQDLQo3X331lcaOHStJWrZsmVJSUnTw4EEtXrxYzz33nE8LBM6krtXmwl6Jighv0cV/AIAA06JwU1FRoejoaEnSqlWrdPXVVyskJEQXXHCBDh486NMCgTOpu0qKLikAQJ0WhZtevXrprbfe0qFDh7Ry5UpNmDBBklRQUMDEfvCb/OIqfXO4WBaLdEl/wg0AwKNF4ebhhx/WrFmz1L17d40cOVKjRo2S5GnFGTp0qE8LBBqzurbVZmh6nDpH20yuBgDQXrRokMIvfvELXXjhhcrLy9PgwYO92y+55BJdddVVPisOOJMfrpJi4j4AwA9aPAIzJSVFKSn1v1RGjBjR6oKApiitqtFn+wolMd4GAFBfi8JNeXm5/vu//1sfffSRCgoK5Ha76z2enZ3tk+KAxqzdfUw1LkM9EiPVKynK7HIAAO1Ii8LNbbfdprVr1+rGG29Uamqqd1kGwF+YuA8A0JgWhZv3339f7733nsaMGePreoCzqnG59cn3BZIINwCA07XoaqlzzjlH8fEsUAhzfLG/SCVVTiVEhmtoxjlmlwMAaGdaFG7+67/+Sw8//HC99aUAf6mbuO/ifkkKDaFLFABQX4u6pZ566int27dPycnJ6t69u8LCwuo9/tVXX/mkOKAhdV1Sl/RPMrkSAEB71KJwc+WVV/q4DKBpso+V6cDxCoWFWnRh785mlwMAaIdaFG4eeeQRX9cBNMnHta02IzLjFWVjoUwAwOlaNOZGkk6ePKmXX35Zs2fPVlFRkSRPd1Rubq7PigN+7JNdnnAzri9dUgCAhrXoP32/+eYbjR8/XrGxsTpw4IBuv/12xcfH680339TBgwe1ePFiX9cJqMzh1Bf7PUGahTIBAI1pUcvNzJkzdfPNN2vPnj2y2+3e7ZMmTdK6det8Vhxwqg17PLMSZyZGKjMx0uxyAADtVIvCzZdffqk77rjjtO1dunRRfn5+q4sCGlI33oYuKQDAmbQo3NjtdpWUlJy2fdeuXercmStY4Htut6FPdh2T5JnfBgCAxrQo3EyZMkVz5sxRTU2NJMlisSgnJ0cPPvigrrnmGp8WCEjSt0eKdazUocjwUI3IZHZsAEDjWhRunnzySR07dkxJSUmqrKzURRddpF69eik6Olp/+tOffF0j4O2SurB3osKtLb7IDwAQBFp0tVRMTIw2bNigTz75RFu2bJHb7dawYcM0fvx4X9cHSPphVmK6pAAAZ9PscON2u7Vo0SItX75cBw4ckMViUWZmplJSUmQYhiwW1vqBbx0rdWjb4WJJDCYGAJxds9r3DcPQz3/+c912223Kzc3VoEGDdO655+rgwYO6+eabddVVV7VVnQhia2on7hvYJUZJMfaz7A0ACHbNarlZtGiR1q1bp48++kjjxo2r99jHH3+sK6+8UosXL9a0adN8WiSCW92sxBfTagMAaIJmtdy8/vrr+v3vf39asJGkiy++WA8++KCWLFnis+KAGpdb63cXSpLGMd4GANAEzQo333zzjS677LJGH580aZK2bdvW6qKAOltzTqrU4VR8ZLgGd40zuxwAQAfQrHBTVFSk5OTG1/RJTk7WiRMnWl0UUGftbk+X1NjeiQoJYbA6AODsmhVuXC6XrNbGh+mEhobK6XS2uiigztrdnlmJL+rDzNcAgKZp1oBiwzB08803y2azNfi4w+HwSVGA5LkE/NtczzIfY3sTbgAATdOscHPTTTeddR+ulIKvrN/jabUZ2CVGnaMbDtQAAPxYs8LNwoUL26oO4DR0SQEAWoJFetAuudyG1nnDDZeAAwCajnCDdunb3GKdqKhRtM2qoRlxZpcDAOhACDdol+q6pMb0SlRYKH+mAICm41sD7ZJ3vE1fxtsAAJqHcIN2p7iiRltzPJNB/oTBxACAZiLcoN3ZsLdQbkPqnRSlLnGdzC4HANDBEG7Q7tQtucAl4ACAliDcoF0xDIPxNgCAViHcoF3ZdbRUR0scsoeF6Pzu8WaXAwDogAg3aFfW7vK02ozqkSB7WKjJ1QAAOiLCDdqV9XsKJbFQJgCg5UwPN/PmzVNmZqbsdruysrK0fv36Jh23ceNGWa1WDRkypG0LhN9U1bj0xYEiSdJP+iSaXA0AoKMyNdwsXbpU9957rx566CFt3bpVY8eO1aRJk5STk3PG44qLizVt2jRdcsklfqoU/vDF/iJVO91KjbWrZ+cos8sBAHRQpoabp59+WtOnT9dtt92m/v3765lnnlF6errmz59/xuPuuOMO3XDDDRo1apSfKoU/bNjr6ZK6sFeiLBaLydUAADoq08JNdXW1tmzZogkTJtTbPmHCBH366aeNHrdw4ULt27dPjzzySFuXCD+rWwV8LPPbAABawWrWCxcWFsrlcik5Obne9uTkZOXn5zd4zJ49e/Tggw9q/fr1slqbVrrD4ZDD4fDeLykpaXnRaDMFpVX6Pr9UkjSmZ4LJ1QAAOjLTBxT/uPvBMIwGuyRcLpduuOEGPfroo+rTp0+Tn3/u3LmKjY313tLT01tdM3xvY22X1MAuMUqIsplcDQCgIzMt3CQmJio0NPS0VpqCgoLTWnMkqbS0VJs3b9ZvfvMbWa1WWa1WzZkzR9u2bZPVatXHH3/c4OvMnj1bxcXF3tuhQ4fa5P2gdeouAb+wF11SAIDWMa1bKjw8XFlZWVq9erWuuuoq7/bVq1drypQpp+0fExOj7du319s2b948ffzxx1q2bJkyMzMbfB2bzSabjZaA9swwDG2oDTc/6c0l4ACA1jEt3EjSzJkzdeONN2r48OEaNWqU/vKXvygnJ0czZsyQ5Gl1yc3N1eLFixUSEqKBAwfWOz4pKUl2u/207ehYdh8tU0GpZ8mFrO7nmF0OAKCDMzXcTJ06VcePH9ecOXOUl5engQMHasWKFerWrZskKS8v76xz3qDjW7/Hc5XUyMwE2awsuQAAaB2LYRiG2UX4U0lJiWJjY1VcXKyYmBizy4GkmxZ8obW7j+k/Lu+v28b2MLscAEA71Jzvb9OvlkJwq6pxadP+45JYTwoA4BuEG5jqq4MnVFXjVlK0TX2SWXIBANB6hBuYal3dJeC9WXIBAOAbhBuYasPe2iUXuAQcAOAjhBuY5niZQ9/mepbDGNOLcAMA8A3CDUxTtwp4v5RoJUXbTa4GABAoCDcwjXdWYlYBBwD4EOEGpjAMw7ueFONtAAC+RLiBKfYdK1N+SZXCrSE6v3u82eUAAAII4QamWLfb02ozMjNe9jCWXAAA+A7hBqaoG0x8IVdJAQB8jHADv6t2uvV5NksuAADaBuEGfvdVzglVVLuUGBWufinRZpcDAAgwhBv43fo9nlmJL+yVqJAQllwAAPgW4QZ+t8G7nhRdUgAA3yPcwK9OlFfrm9xiScxvAwBoG4Qb+NWn+47LMKQ+yVFKjmHJBQCA7xFu4Fd14224SgoA0FYIN/CbU5dcuJAuKQBAGyHcwG/2F5Yr92SlwkNDNDKTJRcAAG2DcAO/qZuVOKvbOYoIt5pcDQAgUBFu4Dd160nRJQUAaEuEG/hFjcutz/Z5ws1FfRhMDABoO4Qb+MVXB0+ovNqlhMhwDUiNMbscAEAAI9zAL069SoolFwAAbYlwA79gfhsAgL8QbtDmWHIBAOBPhBu0uQ17C2UYUr+UaJZcAAC0OcIN2twPXVK02gAA2h7hBm3q1CUXGG8DAPAHwg3a1N6CMuUVV8lmDdEIllwAAPgB4QZtal1tq82IzHjZw0JNrgYAEAwIN2hTdeNtfkKXFADATwg3aDNVNS59nn1ckjS2D4OJAQD+QbhBm9ly8ISqatxKirapb3K02eUAAIIE4QZtZt0psxJbLCy5AADwD8IN2sz63Z7BxD+hSwoA4EeEG7SJY6UO7cgrkSRd2ItwAwDwH8IN2sSGvZ4uqYFdYpQQZTO5GgBAMCHcoE3UdUkxKzEAwN8IN/A5t9vwTt7H/DYAAH8j3MDnvs8vVWGZQxHhoRrWLc7scgAAQYZwA5+rm5X4gh4JsllZcgEA4F+EG/jcD/PbcJUUAMD/CDfwqcpql77cf0KS9JM+jLcBAPgf4QY+tWn/cVW73OoS10k9EiPNLgcAEIQIN/CpNbtqVwHvk8iSCwAAUxBu4DOGYeiTXQWSpJ/2TTK5GgBAsCLcwGf2F5br4PEKhYVaWHIBAGAawg185pPaLqmRmQmKtFlNrgYAEKwIN/CZT76v65LiKikAgHkIN/CJcodTm/YflySN68d4GwCAeQg38ImNewtV4zLULSGCS8ABAKYi3MAn6sbbjOubxCXgAABTEW7QaoZhaM0uxtsAANoHwg1a7fv8UuUVV8keFqILeiSYXQ4AIMgRbtBqdRP3je6ZKHsYq4ADAMxFuEGrrfm+drwNV0kBANoBwg1apbiiRltyPKuA/5RVwAEA7QDhBq2ybs8xudyGeidFKT0+wuxyAAAwP9zMmzdPmZmZstvtysrK0vr16xvdd/ny5br00kvVuXNnxcTEaNSoUVq5cqUfq8WP1Y23oUsKANBemBpuli5dqnvvvVcPPfSQtm7dqrFjx2rSpEnKyclpcP9169bp0ksv1YoVK7RlyxaNGzdOV1xxhbZu3ernyiFJLrehtbXz23AJOACgvbAYhmGY9eIjR47UsGHDNH/+fO+2/v3768orr9TcuXOb9Bznnnuupk6dqocffrhJ+5eUlCg2NlbFxcWKiYlpUd3w+GJ/ka576TPFdgrT5v8Yr7BQ0xsCAQABqjnf36Z9G1VXV2vLli2aMGFCve0TJkzQp59+2qTncLvdKi0tVXx8fKP7OBwOlZSU1LvBN1Z9ly9JuqRfEsEGANBumPaNVFhYKJfLpeTk5Hrbk5OTlZ+f36TneOqpp1ReXq7rrruu0X3mzp2r2NhY7y09Pb1VdcPDMAyt3OH5/2nCucln2RsAAP8x/T+3f7wOkWEYTVqb6PXXX9cf/vAHLV26VElJjQ9mnT17toqLi723Q4cOtbpmeGYlPlRUKZs1RD/hEnAAQDtiNeuFExMTFRoaelorTUFBwWmtOT+2dOlSTZ8+Xf/4xz80fvz4M+5rs9lks9laXS/qW/XdUUnS2N6dFRFu2p8RAACnMa3lJjw8XFlZWVq9enW97atXr9bo0aMbPe7111/XzTffrNdee02XX355W5eJRqz8ji4pAED7ZOp/cs+cOVM33nijhg8frlGjRukvf/mLcnJyNGPGDEmeLqXc3FwtXrxYkifYTJs2Tc8++6wuuOACb6tPp06dFBsba9r7CDaHiiq0I69EIRZpfH/CDQCgfTE13EydOlXHjx/XnDlzlJeXp4EDB2rFihXq1q2bJCkvL6/enDcvvfSSnE6n7rrrLt11113e7TfddJMWLVrk7/KD1qodni6p87vHKz4y3ORqAACoz9R5bszAPDetN/Wlz7Rpf5H+82cDNP3CTLPLAQAEgQ4xzw06pqLyan15oEiSNGEAXVIAgPaHcINm+XDnUbkNaUBqDAtlAgDaJcINmqXuEvCJ56aYXAkAAA0j3KDJKqqdWr/Hs1Aml4ADANorwg2abN3uY3I43UqP76R+KdFmlwMAQIMIN2iyd7/JkyRNHJDSpCUyAAAwA+EGTVJR7dRHOwskST8bnGZyNQAANI5wgyb5+PsCVda4lB7fSYO7Mhs0AKD9ItygSd7d5umS+tl5aXRJAQDaNcINzqrM4dQnu2q7pM5LNbkaAADOjHCDs/pwx1E5nG71SIzUgFSWrAAAtG+EG5zVO9uOSPK02tAlBQBo7wg3OKPjZQ6t3e2ZuO/nQ7hKCgDQ/hFucEbvbDsip9vQeV1j1SuJifsAAO0f4QZn9ObWXEnSlUO6mFwJAABNQ7hBo/YdK9O2w8UKDbHQJQUA6DAIN2jUm195Wm1+0jtRiVE2k6sBAKBpCDdokNtteLukrhrW1eRqAABoOsINGvTpvuPKPVmpaLtVl/ZPNrscAACajHCDBr3xZY4kz0DiTuGhJlcDAEDTEW5wmqLyaq367qgkaer56SZXAwBA8xBucJo3t+aq2uXWwC4xGtiFFcABAB0L4Qb1GIahN77wdEldf36GydUAANB8hBvUs+XgCe0pKJM9LIS5bQAAHRLhBvX832cHJUlXnJemGHuYydUAANB8hBt4HS2p0vvb8yRJN43ubm4xAAC0EOEGXks25cjpNjS82zkMJAYAdFiEG0iSqp1uvbbJM5CYVhsAQEdGuIEkacX2PBWWOZQUbdNlA1PMLgcAgBYj3ECGYeilddmSpF9f0E1hofxZAAA6Lr7FoHV7CrUzr0QR4aG68YJuZpcDAECrEG6g+Wv2SpJ+OSJD50SGm1wNAACtQ7gJcl8fOqnPs4tkDbFo+oWZZpcDAECrEW6C3LxPPK02Vw7torS4TiZXAwBA6xFugtj2w8VateOoLBZpxkU9zC4HAACfINwEsadW75IkXTWki3olRZtcDQAAvkG4CVKbDxRpza5jCg2x6Lfje5tdDgAAPkO4CUKGYejJVZ5Wm+uGd1W3hEiTKwIAwHcIN0Hoo50F+jy7SOGhIbr7YlptAACBhXATZBxOl/743g5J0vSxmVwhBQAIOISbILNo4wEdOF6hztE23TWul9nlAADgc4SbIFJQWqU/f+yZ1+aBy/opymY1uSIAAHyPcBNEHn7rO5U5nBqcHqerh3YxuxwAANoE4SZIrNiepw++y5c1xKK5Vw1SSIjF7JIAAGgThJsgcKK8Wg+//a0k6c6f9tSAtBiTKwIAoO0QbgKcYRj6/ZvbVVhWrd5JUbrrYgYRAwACG+EmwP3t84N6/9t8hYVa9OS1g2WzhppdEgAAbYpwE8C+zS3WH9/dKclzddTg9DhzCwIAwA8INwGqsMyhf1uyRdUut8b3T9b0CzPNLgkAAL8g3ASgqhqXbl+8WYeKKtUtIUJPXnueLBaujgIABAfCTYBxuQ3N/PvX2ppzUrGdwrTg5vMVFxFudlkAAPgN4SaAuNyGfvePbVqx3TOA+KUbs9Szc5TZZQEA4FeEmwBRF2yWb81VaIhFz10/VBf0SDC7LAAA/I7FhQJAmcOpe17fqo+/L1BoiEXP/3KoJg1KNbssAABMQbjp4A6fqNBt/7dZ3+eXymYN0bPXD9VlA1PMLgsAANMQbjqwd785ot8v366SKqcSo2z667QsDc04x+yyAAAwFeGmAyoordJj7+3UW18fkSQNTo/TCzcMVddzIkyuDAAA8xFuOpCqGpde/fygnv1wj0odTlks0l0/7aXfju+tsFDGhgMAIBFuOoSSqhr9/ctDemldto6VOiRJ53WN1ZwpAzWEJRUAAKjH9P/cnzdvnjIzM2W325WVlaX169efcf+1a9cqKytLdrtdPXr00IsvvuinSv3L6XLrs33H9e/Ltmnknz7SH9/bqWOlDnWJ66T/vnqQ3rxzDMEGAIAGmNpys3TpUt17772aN2+exowZo5deekmTJk3Sjh07lJGRcdr++/fv1+TJk3X77bfr1Vdf1caNG3XnnXeqc+fOuuaaa0x4B75jGIZyT1ZqU3aRPt13XJ/sKlBRebX38d5JUZp+YaauHtZV4VbTMykAAO2WxTAMw6wXHzlypIYNG6b58+d7t/Xv319XXnml5s6de9r+DzzwgP71r39p586d3m0zZszQtm3b9NlnnzXpNUtKShQbG6vi4mLFxMS0/k00U2W1S/klVcorrlTO8Qp9n1+qHXkl+j6vRCVVznr7xkWEacKAZF03PF1Z3c5hfSgAQNBqzve3aS031dXV2rJlix588MF62ydMmKBPP/20wWM+++wzTZgwod62iRMn6pVXXlFNTY3CwsLarN6zqRsXU+ZwqqzKqTKHU6Wn/l5Vo4JSh05W1DT6HNYQi85Ni9HoXoka2ytRIzLjZWWgMAAAzWJauCksLJTL5VJycnK97cnJycrPz2/wmPz8/Ab3dzqdKiwsVGrq6bPyOhwOORwO7/3i4mJJngToSwUlVZqzfEuT9rWHhSgl1q7U2E7qnRSlvsnR6psSrczOkbJZQ737VZSX+bRGAAA6qrrv7aZ0OJl+tdSPu1oMwzhj90tD+ze0vc7cuXP16KOPnrY9PT29uaX61B5TXx0AgI6ptLRUsbGxZ9zHtHCTmJio0NDQ01ppCgoKTmudqZOSktLg/larVQkJDS8SOXv2bM2cOdN73+12q6ioSAkJCa0aw1JSUqL09HQdOnTIlLE77RnnpnGcm8ZxbhrHuWkY56VxgXhuDMNQaWmp0tLSzrqvaeEmPDxcWVlZWr16ta666irv9tWrV2vKlCkNHjNq1Ci988479batWrVKw4cPb3S8jc1mk81mq7ctLi6udcWfIiYmJmD+cHyNc9M4zk3jODeN49w0jPPSuEA7N2drsalj6mjVmTNn6uWXX9aCBQu0c+dO3XfffcrJydGMGTMkeVpdpk2b5t1/xowZOnjwoGbOnKmdO3dqwYIFeuWVVzRr1iyz3gIAAGhnTB1zM3XqVB0/flxz5sxRXl6eBg4cqBUrVqhbt26SpLy8POXk5Hj3z8zM1IoVK3TffffphRdeUFpamp577rkOP8cNAADwHdMHFN9555268847G3xs0aJFp2276KKL9NVXX7VxVWdns9n0yCOPnNblBc7NmXBuGse5aRznpmGcl8YF+7kxdRI/AAAAX2OGOAAAEFAINwAAIKAQbgAAQEAh3DTgD3/4gywWS71bSkrKGY9Zu3atsrKyZLfb1aNHD7344ot+qta/mntuli9frksvvVSdO3dWTEyMRo0apZUrV/qxYv9pyd9NnY0bN8pqtWrIkCFtW6RJWnJuHA6HHnroIXXr1k02m009e/bUggUL/FSx/7Tk3CxZskSDBw9WRESEUlNTdcstt+j48eN+qth/cnNz9etf/1oJCQmKiIjQkCFDtGXLmZe5CZbP4uaem2D6LJbawdVS7dW5556rDz/80Hs/NDS00X3379+vyZMn6/bbb9err76qjRs36s4771Tnzp0D8jL15pybdevW6dJLL9Vjjz2muLg4LVy4UFdccYU2bdqkoUOH+qNcv2rOualTXFysadOm6ZJLLtHRo0fbsjxTNffcXHfddTp69KheeeUV9erVSwUFBXI6nW1dpimac242bNigadOm6X//9391xRVXKDc3VzNmzNBtt92mN9980x/l+sWJEyc0ZswYjRs3Tu+//76SkpK0b9++M07CGiyfxS05N8H2WUy4aYTVam3yf3W/+OKLysjI0DPPPCNJ6t+/vzZv3qwnn3wyoP5B1WnOuak7J3Uee+wxvf3223rnnXcC8x9UM85NnTvuuEM33HCDQkND9dZbb7VNYe1Ac87NBx98oLVr1yo7O1vx8fGSpO7du7dhdeZqzrn5/PPP1b17d91zzz2SPPN/3XHHHXriiSfaskS/e/zxx5Wenq6FCxd6t53tbyBYPotbcm6C7bOYbqlG7NmzR2lpacrMzNT111+v7OzsRvf97LPPNGHChHrbJk6cqM2bN6umpqatS/W75pybH3O73SotLfV+YQWa5p6bhQsXat++fXrkkUf8VKF5mnNu/vWvf2n48OF64okn1KVLF/Xp00ezZs1SZWWlHyv2n+acm9GjR+vw4cNasWKFDMPQ0aNHtWzZMl1++eV+rLjt1f0NXHvttUpKStLQoUP117/+9YzHBMtncUvOzY8F+mcx4aYBI0eO1OLFi7Vy5Ur99a9/VX5+vkaPHt1on3Z+fv5pi30mJyfL6XSqsLDQHyX7TXPPzY899dRTKi8v13XXXdfGlfpfc8/Nnj179OCDD2rJkiWyWgO7EbW55yY7O1sbNmzQt99+qzfffFPPPPOMli1bprvuusvPlbe95p6b0aNHa8mSJZo6darCw8OVkpKiuLg4/fnPf/Zz5W0rOztb8+fPV+/evbVy5UrNmDFD99xzjxYvXtzoMcHyWdySc/NjgfxZLEkycFZlZWVGcnKy8dRTTzX4eO/evY3HHnus3rYNGzYYkoy8vDx/lGias52bU7322mtGRESEsXr1aj9UZr4znRun02kMHz7cmD9/vnfbI488YgwePNiPFZrnbH83l156qWG3242TJ096t/3zn/80LBaLUVFR4a8yTXG2c/Pdd98ZqampxhNPPGFs27bN+OCDD4xBgwYZt956q58rbVthYWHGqFGj6m27++67jQsuuKDRY4Lls7gl5+ZUwfBZTMtNE0RGRmrQoEHas2dPg4+npKQoPz+/3raCggJZrVYlJCT4o0TTnO3c1Fm6dKmmT5+uv//97xo/fryfqjPXmc5NaWmpNm/erN/85jeyWq2yWq2aM2eOtm3bJqvVqo8//tiEiv3nbH83qamp6tKlS70VgPv37y/DMHT48GF/lWmKs52buXPnasyYMfrd736n8847TxMnTtS8efO0YMEC5eXl+bnatpOamqoBAwbU29a/f/966w3+WLB8Frfk3NQJls9iwk0TOBwO7dy5U6mpqQ0+PmrUKK1evbretlWrVmn48OEKCwvzR4mmOdu5kaTXX39dN998s1577bWAGxdwJmc6NzExMdq+fbu+/vpr723GjBnq27evvv76a40cOdKEiv3nbH83Y8aM0ZEjR1RWVubdtnv3boWEhKhr167+KtMUZzs3FRUVCgmp/9Fdd3WVEUCr6YwZM0a7du2qt2337t3ehZUbEiyfxS05N1KQfRab3XTUHt1///3GmjVrjOzsbOPzzz83fvaznxnR0dHGgQMHDMMwjAcffNC48cYbvftnZ2cbERERxn333Wfs2LHDeOWVV4ywsDBj2bJlZr2FNtPcc/Paa68ZVqvVeOGFF4y8vDzv7dTuhkDR3HPzY4HcLdXcc1NaWmp07drV+MUvfmF89913xtq1a43evXsbt912m1lvoc0099wsXLjQsFqtxrx584x9+/YZGzZsMIYPH26MGDHCrLfQJr744gvDarUaf/rTn4w9e/YYS5YsMSIiIoxXX33Vu0+wfha35NwE02exYRgG4aYBU6dONVJTU42wsDAjLS3NuPrqq43vvvvO+/hNN91kXHTRRfWOWbNmjTF06FAjPDzc6N69e72xFIGkuefmoosuMiSddrvpppv8X3wba8nfzakCOdy05Nzs3LnTGD9+vNGpUyeja9euxsyZMwNyvE1Lzs1zzz1nDBgwwOjUqZORmppq/OpXvzIOHz7s58rb3jvvvGMMHDjQsNlsRr9+/Yy//OUv9R4P5s/i5p6bYPosNgzDYFVwAAAQUBhzAwAAAgrhBgAABBTCDQAACCiEGwAAEFAINwAAIKAQbgAAQEAh3AAAgIBCuAEAAAGFcAOg1X7605/q3nvvNbsMrVmzRhaLRSdPnmzR8X/4wx80ZMgQn9YEwP8INwA6pPYSqAC0P4QbAAAQUAg3AHyqurpa//7v/64uXbooMjJSI0eO1Jo1a7yPL1q0SHFxcVq5cqX69++vqKgoXXbZZcrLy/Pu43Q6dc899yguLk4JCQl64IEHdNNNN+nKK6+UJN18881au3atnn32WVksFlksFh04cMB7/JYtWzR8+HBFRERo9OjR2rVrV4vey/79+9WrVy/927/9m9xut7f2d999V3379lVERIR+8YtfqLy8XP/3f/+n7t2765xzztHdd98tl8vVotcE0HqEGwA+dcstt2jjxo1644039M033+jaa6/VZZddpj179nj3qaio0JNPPqm//e1vWrdunXJycjRr1izv448//riWLFmihQsXauPGjSopKdFbb73lffzZZ5/VqFGjdPvttysvL095eXlKT0/3Pv7QQw/pqaee0ubNm2W1WnXrrbc2+318++23GjNmjK699lrNnz9fISEh3tqfe+45vfHGG/rggw+0Zs0aXX311VqxYoVWrFihv/3tb/rLX/6iZcuWteDsAfAJs5clB9DxXXTRRcZvf/tbY+/evYbFYjFyc3PrPX7JJZcYs2fPNgzDMBYuXGhIMvbu3et9/IUXXjCSk5O995OTk43/+Z//8d53Op1GRkaGMWXKlNNe81SffPKJIcn48MMPvdvee+89Q5JRWVl51vfxyCOPGIMHDzY+/fRTIz4+vl4NjdV+xx13GBEREUZpaal328SJE4077rjjrK8HoG1YzY1WAALJV199JcMw1KdPn3rbHQ6HEhISvPcjIiLUs2dP7/3U1FQVFBRIkoqLi3X06FGNGDHC+3hoaKiysrLkdrubVMd5551X77klqaCgQBkZGWc9NicnR+PHj9cf//hH3Xfffac9/uPak5OT1b17d0VFRdXbVvd+APgf4QaAz7jdboWGhmrLli0KDQ2t99ipX/5hYWH1HrNYLDIM47Rtp/rx42dy6vPXPU9Tg1Hnzp2VlpamN954Q9OnT1dMTEyjz133/A1ta+rrAfA9xtwA8JmhQ4fK5XKpoKBAvXr1qndLSUlp0nPExsYqOTlZX3zxhXeby+XS1q1b6+0XHh7eJoN2O3XqpHfffVd2u10TJ05UaWmpz18DQNsi3ADwmT59+uhXv/qVpk2bpuXLl2v//v368ssv9fjjj2vFihVNfp67775bc+fO1dtvv61du3bpt7/9rU6cOFGvNad79+7atGmTDhw4oMLCQp+2lERGRuq9996T1WrVpEmTVFZW5rPnBtD2CDcAfGrhwoWaNm2a7r//fvXt21c///nPtWnTpnpXM53NAw88oF/+8peaNm2aRo0apaioKE2cOFF2u927z6xZsxQaGqoBAwaoc+fOysnJ8en7iIqK0vvvvy/DMDR58mSVl5f79PkBtB2L0ZyObAAwgdvtVv/+/XXdddfpv/7rv8wuB0A7x4BiAO3OwYMHtWrVKl100UVyOBx6/vnntX//ft1www1mlwagA6BbCkC7ExISokWLFun888/XmDFjtH37dn344Yfq379/q5733HPPVVRUVIO3JUuW+Kh6AGajWwpA0Dh48KBqamoafCw5OVnR0dF+rghAWyDcAACAgEK3FAAACCiEGwAAEFAINwAAIKAQbgAAQEAh3AAAgIBCuAEAAAGFcAMAAAIK4QYAAASU/w9PiDKpsXD+PwAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.kdeplot(sampled_failures.length_km, cumulative=True)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.13.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}