API_Example.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "ae8d936d-98a3-4cbf-a9bf-8eebbd8d15c2",
   "metadata": {},
   "source": [
    "# Application Programming Interfaces\n",
    "\n",
    "2024 NHERI Computational Academy  \n",
    "Scott J. Brandenberg\n",
    "\n",
    "## Jupyter Notebooks  \n",
    "Complete Notebook  \n",
    "[![Try on DesignSafe](https://raw.githubusercontent.com/geoelements/LearnMPM/main/DesignSafe-Badge.svg)](https://jupyter.designsafe-ci.org/hub/user-redirect/notebooks/CommunityData/Training/2024-NHERI-AI-Academy/Day2/API_Example.ipynb)  \n",
    "Template  \n",
    "[![Try on DesignSafe](https://raw.githubusercontent.com/geoelements/LearnMPM/main/DesignSafe-Badge.svg)](https://jupyter.designsafe-ci.org/hub/user-redirect/notebooks/CommunityData/Training/2024-NHERI-AI-Academy/Day2/API_Example_Template.ipynb)  \n",
    
    "## Real-time traffic data\n",
    "\n",
    "On Day 1, Charlie Dey presented a nice example using Pandas and Matplotlib to visualize real-time traffic data in Austin, TX from [this link](https://data.austintexas.gov/Transportation-and-Mobility/Real-Time-Traffic-Incident-Reports/dx9v-zd7x/about_data). He first downloaded a CSV file from the website, then loaded that CSV file into a Pandas dataframe.  \n",
    "\n",
    "What we'll do in this notebook is use their API to retrieve custom data from the website instead of downloading the entire dataset as a CSV file. A benefit of using the API is that we can apply filters as part of the query to retrieve only the data that we need to plot, which saves some time and storage.\n",
    "\n",
    "## Learning outcomes  \n",
    "\n",
    "This notebook will demonstrate how to:\n",
    "\n",
    "1. Use the Python requests package to submit a GET HTTP request to the Austin real-time traffic API\n",
    "3. Convert the retrieved JSON string to a Python dictionary\n",
    "4. Convert the retrieved JSON string to a Pandas dataframe\n",
    "5. Add filters to the HTTP request to be more selective in data retrieval\n",
    "6. Plot the traffic events by creating a lat / lon scatterplot"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "188df7e9-cbc8-49da-95d7-65f436515d36",
   "metadata": {},
   "source": [
    "## Learning Outcome 1\n",
    "Use the Python requests package to submit a GET HTTP request to the Austin real-time traffic API"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "cf74d6b8-e40e-41fa-b65e-b9aeb836d62d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[{\"traffic_report_id\":\"121E4F6B2D93D3F508359C8700406A1B992733AF_1659735434\",\"published_date\":\"2022-0\n"
     ]
    }
   ],
   "source": [
    "import requests\n",
    "import json\n",
    "import pandas as pd\n",
    "import io\n",
    "\n",
    "url = 'https://data.austintexas.gov/resource/dx9v-zd7x.json?'\n",
    "r = requests.get(url)\n",
    "r_json = r.text\n",
    "\n",
    "# The retrieved string is very long, so we shouldn't print the whole thing. \n",
    "# Just print the first 100 characters here.\n",
    "print(r_json[0:100])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6a020c8a-5e32-415b-a0f8-eb0ddf7255fd",
   "metadata": {},
   "source": [
    "## Learning Outcome 2\n",
    "\n",
    "Convert the retrieved JSON string to a Python dictionary. Actually, the data comes to us as an array of JSON strings, so we will create a Python list of dictionaries."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "3f19033a-1dc8-4b9a-8703-45422b0d3201",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'traffic_report_id': '121E4F6B2D93D3F508359C8700406A1B992733AF_1659735434', 'published_date': '2022-08-05T21:37:14.000Z', 'issue_reported': 'TRFC HAZD/ DEBRIS', 'location': {'type': 'Point', 'coordinates': [0, 0]}, 'latitude': '0', 'longitude': '0', 'address': 'tra', 'traffic_report_status': 'ARCHIVED', 'traffic_report_status_date_time': '2022-08-05T21:50:03.000Z'}\n"
     ]
    }
   ],
   "source": [
    "# We will use the Python json package and the \"loads\" command to convert\n",
    "# the string to a Python dictionary, and print the first entry of the array\n",
    "# to make sure it worked correctly\n",
    "\n",
    "r_dict = json.loads(r_json)\n",
    "print(r_dict[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a283b133-125b-4da1-80d7-0890263c0302",
   "metadata": {},
   "source": [
    "## Learning Outcome 3\n",
    "\n",
    "Convert the retrieved JSON string to a Pandas dataframe. Python dictionaries are cool and everything, but Charlie used Pandas, so I'll do the same here. We have to wrap the JSON string using StringIO to prevent that annoying Pandas deprecation warning."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "3f05c7c9-5c56-47df-bd46-e3bce329673c",
   "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>traffic_report_id</th>\n",
       "      <th>published_date</th>\n",
       "      <th>issue_reported</th>\n",
       "      <th>location</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>address</th>\n",
       "      <th>traffic_report_status</th>\n",
       "      <th>traffic_report_status_date_time</th>\n",
       "      <th>:@computed_region_pgdr_vyqg</th>\n",
       "      <th>:@computed_region_u569_ruue</th>\n",
       "      <th>:@computed_region_ap3j_c5bq</th>\n",
       "      <th>:@computed_region_99rk_ypn4</th>\n",
       "      <th>:@computed_region_g44y_bfnm</th>\n",
       "      <th>:@computed_region_jcrc_4uuy</th>\n",
       "      <th>:@computed_region_q9nd_rr82</th>\n",
       "      <th>:@computed_region_e9j2_6w3z</th>\n",
       "      <th>:@computed_region_m2th_e4b7</th>\n",
       "      <th>:@computed_region_rxpj_nzrk</th>\n",
       "      <th>agency</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>121E4F6B2D93D3F508359C8700406A1B992733AF_16597...</td>\n",
       "      <td>2022-08-05T21:37:14.000Z</td>\n",
       "      <td>TRFC HAZD/ DEBRIS</td>\n",
       "      <td>{'type': 'Point', 'coordinates': [0, 0]}</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>tra</td>\n",
       "      <td>ARCHIVED</td>\n",
       "      <td>2022-08-05 21:50:03+00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>B852035718A45A6479B38C26FA96B28B0C9A8A56_16615...</td>\n",
       "      <td>2022-08-26T21:05:01.000Z</td>\n",
       "      <td>TRFC HAZD/ DEBRIS</td>\n",
       "      <td>{'type': 'Point', 'coordinates': [0, 0]}</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>900 S FM 973</td>\n",
       "      <td>ARCHIVED</td>\n",
       "      <td>2022-08-26 21:35:03+00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>B7CA5DF711D07BA6D03B6EF004402A6594C77CD6_16622...</td>\n",
       "      <td>2022-09-04T04:16:02.000Z</td>\n",
       "      <td>COLLISION</td>\n",
       "      <td>{'type': 'Point', 'coordinates': [0, 0]}</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>12009 W US 290 HWY</td>\n",
       "      <td>ARCHIVED</td>\n",
       "      <td>2022-09-04 05:40:03+00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5F5898E4726001663BA5A126B313B03B1AED3F07_16631...</td>\n",
       "      <td>2022-09-14T15:14:19.000Z</td>\n",
       "      <td>Crash Urgent</td>\n",
       "      <td>{'type': 'Point', 'coordinates': [-97.711561, ...</td>\n",
       "      <td>30.307396</td>\n",
       "      <td>-97.711561</td>\n",
       "      <td>4900 N Ih 35 Nb</td>\n",
       "      <td>ARCHIVED</td>\n",
       "      <td>2022-09-14 15:30:04+00:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>309.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3791C82875F2B544CEFA8FBE35109575B1431A30_16631...</td>\n",
       "      <td>2022-09-14T13:50:59.000Z</td>\n",
       "      <td>TRFC HAZD/ DEBRIS</td>\n",
       "      <td>{'type': 'Point', 'coordinates': [-97.820007, ...</td>\n",
       "      <td>30.233228</td>\n",
       "      <td>-97.820007</td>\n",
       "      <td>4953-4973 W Us 290 Hwy Eb</td>\n",
       "      <td>ARCHIVED</td>\n",
       "      <td>2022-09-14 14:10:02+00:00</td>\n",
       "      <td>68.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>178.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>126.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   traffic_report_id  \\\n",
       "0  121E4F6B2D93D3F508359C8700406A1B992733AF_16597...   \n",
       "1  B852035718A45A6479B38C26FA96B28B0C9A8A56_16615...   \n",
       "2  B7CA5DF711D07BA6D03B6EF004402A6594C77CD6_16622...   \n",
       "3  5F5898E4726001663BA5A126B313B03B1AED3F07_16631...   \n",
       "4  3791C82875F2B544CEFA8FBE35109575B1431A30_16631...   \n",
       "\n",
       "             published_date     issue_reported  \\\n",
       "0  2022-08-05T21:37:14.000Z  TRFC HAZD/ DEBRIS   \n",
       "1  2022-08-26T21:05:01.000Z  TRFC HAZD/ DEBRIS   \n",
       "2  2022-09-04T04:16:02.000Z          COLLISION   \n",
       "3  2022-09-14T15:14:19.000Z       Crash Urgent   \n",
       "4  2022-09-14T13:50:59.000Z  TRFC HAZD/ DEBRIS   \n",
       "\n",
       "                                            location   latitude  longitude  \\\n",
       "0           {'type': 'Point', 'coordinates': [0, 0]}   0.000000   0.000000   \n",
       "1           {'type': 'Point', 'coordinates': [0, 0]}   0.000000   0.000000   \n",
       "2           {'type': 'Point', 'coordinates': [0, 0]}   0.000000   0.000000   \n",
       "3  {'type': 'Point', 'coordinates': [-97.711561, ...  30.307396 -97.711561   \n",
       "4  {'type': 'Point', 'coordinates': [-97.820007, ...  30.233228 -97.820007   \n",
       "\n",
       "                     address traffic_report_status  \\\n",
       "0                        tra              ARCHIVED   \n",
       "1               900 S FM 973              ARCHIVED   \n",
       "2         12009 W US 290 HWY              ARCHIVED   \n",
       "3            4900 N Ih 35 Nb              ARCHIVED   \n",
       "4  4953-4973 W Us 290 Hwy Eb              ARCHIVED   \n",
       "\n",
       "  traffic_report_status_date_time  :@computed_region_pgdr_vyqg  \\\n",
       "0       2022-08-05 21:50:03+00:00                          NaN   \n",
       "1       2022-08-26 21:35:03+00:00                          NaN   \n",
       "2       2022-09-04 05:40:03+00:00                          NaN   \n",
       "3       2022-09-14 15:30:04+00:00                         10.0   \n",
       "4       2022-09-14 14:10:02+00:00                         68.0   \n",
       "\n",
       "   :@computed_region_u569_ruue  :@computed_region_ap3j_c5bq  \\\n",
       "0                          NaN                          NaN   \n",
       "1                          NaN                          NaN   \n",
       "2                          NaN                          NaN   \n",
       "3                         22.0                          5.0   \n",
       "4                          1.0                          NaN   \n",
       "\n",
       "   :@computed_region_99rk_ypn4  :@computed_region_g44y_bfnm  \\\n",
       "0                          NaN                          NaN   \n",
       "1                          NaN                          NaN   \n",
       "2                          NaN                          NaN   \n",
       "3                         94.0                          6.0   \n",
       "4                        178.0                          6.0   \n",
       "\n",
       "   :@computed_region_jcrc_4uuy  :@computed_region_q9nd_rr82  \\\n",
       "0                          NaN                          NaN   \n",
       "1                          NaN                          NaN   \n",
       "2                          NaN                          NaN   \n",
       "3                         11.0                         10.0   \n",
       "4                         32.0                          NaN   \n",
       "\n",
       "   :@computed_region_e9j2_6w3z  :@computed_region_m2th_e4b7  \\\n",
       "0                          NaN                          NaN   \n",
       "1                          NaN                          NaN   \n",
       "2                          NaN                          NaN   \n",
       "3                         38.0                        309.0   \n",
       "4                          NaN                        126.0   \n",
       "\n",
       "   :@computed_region_rxpj_nzrk agency  \n",
       "0                          NaN    NaN  \n",
       "1                          NaN    NaN  \n",
       "2                          NaN    NaN  \n",
       "3                         33.0    NaN  \n",
       "4                         53.0    NaN  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Step 3. Convert the data from a JSON string to a Pandas dataframe\n",
    "\n",
    "r_df = pd.read_json(io.StringIO(r_json))\n",
    "r_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fe63d33f-fb47-49a2-9c70-d36ec1719acc",
   "metadata": {},
   "source": [
    "## Learning Outcome 4 \n",
    "\n",
    "Add filters to the HTTP request to be more selective in data retrieval. There are a few issues we need to sort out here. First, the API by default returns only 1000 entries. But we don't want to limit the data in this way because the full dataset has about 350,000 entries. Second, there were problems with some of the lat / lon coordinates in the original dataset. We filtered those out in post-processing before by looking only at latitude values between 30 and 31 and longitude values between -97 and -98. But if we use the API, we can make the server filter them for us and only return the ones we want."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "0b412adb-88be-4630-8563-e06e4721773a",
   "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>traffic_report_id</th>\n",
       "      <th>published_date</th>\n",
       "      <th>issue_reported</th>\n",
       "      <th>location</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>address</th>\n",
       "      <th>traffic_report_status</th>\n",
       "      <th>traffic_report_status_date_time</th>\n",
       "      <th>agency</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5F5898E4726001663BA5A126B313B03B1AED3F07_16631...</td>\n",
       "      <td>2022-09-14T15:14:19.000Z</td>\n",
       "      <td>Crash Urgent</td>\n",
       "      <td>{'type': 'Point', 'coordinates': [-97.711561, ...</td>\n",
       "      <td>30.307396</td>\n",
       "      <td>-97.711561</td>\n",
       "      <td>4900 N Ih 35 Nb</td>\n",
       "      <td>ARCHIVED</td>\n",
       "      <td>2022-09-14 15:30:04+00:00</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3791C82875F2B544CEFA8FBE35109575B1431A30_16631...</td>\n",
       "      <td>2022-09-14T13:50:59.000Z</td>\n",
       "      <td>TRFC HAZD/ DEBRIS</td>\n",
       "      <td>{'type': 'Point', 'coordinates': [-97.820007, ...</td>\n",
       "      <td>30.233228</td>\n",
       "      <td>-97.820007</td>\n",
       "      <td>4953-4973 W Us 290 Hwy Eb</td>\n",
       "      <td>ARCHIVED</td>\n",
       "      <td>2022-09-14 14:10:02+00:00</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>00F36866326DA3B8DDE0D960226DCD6AFB5AF127_16630...</td>\n",
       "      <td>2022-09-13T13:02:12.000Z</td>\n",
       "      <td>Crash Service</td>\n",
       "      <td>{'type': 'Point', 'coordinates': [-97.780078, ...</td>\n",
       "      <td>30.439546</td>\n",
       "      <td>-97.780078</td>\n",
       "      <td>13096 N Us 183 Hwy Svrd Sb</td>\n",
       "      <td>ARCHIVED</td>\n",
       "      <td>2022-09-13 13:25:04+00:00</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5546443CF7936F056C25DF636352D217C030756C_16631...</td>\n",
       "      <td>2022-09-14T13:16:12.000Z</td>\n",
       "      <td>Stalled Vehicle</td>\n",
       "      <td>{'type': 'Point', 'coordinates': [-97.735557, ...</td>\n",
       "      <td>30.383593</td>\n",
       "      <td>-97.735557</td>\n",
       "      <td>0 RESEARCH NB TO N MOPAC SVRD NB RAMP</td>\n",
       "      <td>ARCHIVED</td>\n",
       "      <td>2022-09-14 14:10:02+00:00</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>85CA1FFDE3C0A7F9418AA74D8309CAF5A31749E9_16630...</td>\n",
       "      <td>2022-09-13T16:32:09.000Z</td>\n",
       "      <td>LOOSE LIVESTOCK</td>\n",
       "      <td>{'type': 'Point', 'coordinates': [-97.933901, ...</td>\n",
       "      <td>30.597314</td>\n",
       "      <td>-97.933901</td>\n",
       "      <td>Round Mountain Rd &amp; Great Oaks Blvd</td>\n",
       "      <td>ARCHIVED</td>\n",
       "      <td>2022-09-13 19:20:03+00:00</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>380966</th>\n",
       "      <td>EAEBB5DB2B93D9B0E80FF737B2983A774CDED173_17217...</td>\n",
       "      <td>2024-07-23T16:04:59.000Z</td>\n",
       "      <td>Traffic Hazard</td>\n",
       "      <td>{'type': 'Point', 'coordinates': [-97.761749, ...</td>\n",
       "      <td>30.424873</td>\n",
       "      <td>-97.761749</td>\n",
       "      <td>11707-11799 Oak Knoll Dr</td>\n",
       "      <td>ARCHIVED</td>\n",
       "      <td>2024-07-23 16:25:15+00:00</td>\n",
       "      <td>AUSTIN PD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>380967</th>\n",
       "      <td>5982FD0F37D93127B4D15129788CC3DE204635A9_17217...</td>\n",
       "      <td>2024-07-23T16:24:19.000Z</td>\n",
       "      <td>Crash Urgent</td>\n",
       "      <td>{'type': 'Point', 'coordinates': [-97.730994, ...</td>\n",
       "      <td>30.274565</td>\n",
       "      <td>-97.730994</td>\n",
       "      <td>N Ih 35 Svrd Nb / E 15th St</td>\n",
       "      <td>ACTIVE</td>\n",
       "      <td>2024-07-23 16:30:20+00:00</td>\n",
       "      <td>AUSTIN PD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>380968</th>\n",
       "      <td>BBFBF362460D2B5A1573BC939A7419DF3FFF1A54_17217...</td>\n",
       "      <td>2024-07-23T16:29:00.000Z</td>\n",
       "      <td>Crash Urgent</td>\n",
       "      <td>{'type': 'Point', 'coordinates': [-97.834105, ...</td>\n",
       "      <td>30.223264</td>\n",
       "      <td>-97.834105</td>\n",
       "      <td>6301-6617 S Mopac Expy Nb</td>\n",
       "      <td>ACTIVE</td>\n",
       "      <td>2024-07-23 16:30:20+00:00</td>\n",
       "      <td>AUSTIN PD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>380969</th>\n",
       "      <td>ABCD1C5876F36174110775438923CE78ACBF8594_17217...</td>\n",
       "      <td>2024-07-23T14:53:08.000Z</td>\n",
       "      <td>Traffic Hazard</td>\n",
       "      <td>{'type': 'Point', 'coordinates': [-97.77275, 3...</td>\n",
       "      <td>30.187118</td>\n",
       "      <td>-97.772750</td>\n",
       "      <td>6900 S IH 35 NB</td>\n",
       "      <td>ARCHIVED</td>\n",
       "      <td>2024-07-23 16:35:16+00:00</td>\n",
       "      <td>AUSTIN PD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>380970</th>\n",
       "      <td>6F510F4A180384CE18F926AB595E20AE16FA1E2E_17217...</td>\n",
       "      <td>2024-07-23T16:01:03.000Z</td>\n",
       "      <td>COLLISION WITH INJURY</td>\n",
       "      <td>{'type': 'Point', 'coordinates': [-97.944348, ...</td>\n",
       "      <td>30.568998</td>\n",
       "      <td>-97.944348</td>\n",
       "      <td>14300-14314 ROUND MOUNTAIN RD</td>\n",
       "      <td>ARCHIVED</td>\n",
       "      <td>2024-07-23 16:35:16+00:00</td>\n",
       "      <td>TRAVIS COUNTY SHERIF</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>380971 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        traffic_report_id  \\\n",
       "0       5F5898E4726001663BA5A126B313B03B1AED3F07_16631...   \n",
       "1       3791C82875F2B544CEFA8FBE35109575B1431A30_16631...   \n",
       "2       00F36866326DA3B8DDE0D960226DCD6AFB5AF127_16630...   \n",
       "3       5546443CF7936F056C25DF636352D217C030756C_16631...   \n",
       "4       85CA1FFDE3C0A7F9418AA74D8309CAF5A31749E9_16630...   \n",
       "...                                                   ...   \n",
       "380966  EAEBB5DB2B93D9B0E80FF737B2983A774CDED173_17217...   \n",
       "380967  5982FD0F37D93127B4D15129788CC3DE204635A9_17217...   \n",
       "380968  BBFBF362460D2B5A1573BC939A7419DF3FFF1A54_17217...   \n",
       "380969  ABCD1C5876F36174110775438923CE78ACBF8594_17217...   \n",
       "380970  6F510F4A180384CE18F926AB595E20AE16FA1E2E_17217...   \n",
       "\n",
       "                  published_date         issue_reported  \\\n",
       "0       2022-09-14T15:14:19.000Z           Crash Urgent   \n",
       "1       2022-09-14T13:50:59.000Z      TRFC HAZD/ DEBRIS   \n",
       "2       2022-09-13T13:02:12.000Z          Crash Service   \n",
       "3       2022-09-14T13:16:12.000Z        Stalled Vehicle   \n",
       "4       2022-09-13T16:32:09.000Z        LOOSE LIVESTOCK   \n",
       "...                          ...                    ...   \n",
       "380966  2024-07-23T16:04:59.000Z         Traffic Hazard   \n",
       "380967  2024-07-23T16:24:19.000Z           Crash Urgent   \n",
       "380968  2024-07-23T16:29:00.000Z           Crash Urgent   \n",
       "380969  2024-07-23T14:53:08.000Z         Traffic Hazard   \n",
       "380970  2024-07-23T16:01:03.000Z  COLLISION WITH INJURY   \n",
       "\n",
       "                                                 location   latitude  \\\n",
       "0       {'type': 'Point', 'coordinates': [-97.711561, ...  30.307396   \n",
       "1       {'type': 'Point', 'coordinates': [-97.820007, ...  30.233228   \n",
       "2       {'type': 'Point', 'coordinates': [-97.780078, ...  30.439546   \n",
       "3       {'type': 'Point', 'coordinates': [-97.735557, ...  30.383593   \n",
       "4       {'type': 'Point', 'coordinates': [-97.933901, ...  30.597314   \n",
       "...                                                   ...        ...   \n",
       "380966  {'type': 'Point', 'coordinates': [-97.761749, ...  30.424873   \n",
       "380967  {'type': 'Point', 'coordinates': [-97.730994, ...  30.274565   \n",
       "380968  {'type': 'Point', 'coordinates': [-97.834105, ...  30.223264   \n",
       "380969  {'type': 'Point', 'coordinates': [-97.77275, 3...  30.187118   \n",
       "380970  {'type': 'Point', 'coordinates': [-97.944348, ...  30.568998   \n",
       "\n",
       "        longitude                                address  \\\n",
       "0      -97.711561                        4900 N Ih 35 Nb   \n",
       "1      -97.820007              4953-4973 W Us 290 Hwy Eb   \n",
       "2      -97.780078             13096 N Us 183 Hwy Svrd Sb   \n",
       "3      -97.735557  0 RESEARCH NB TO N MOPAC SVRD NB RAMP   \n",
       "4      -97.933901    Round Mountain Rd & Great Oaks Blvd   \n",
       "...           ...                                    ...   \n",
       "380966 -97.761749               11707-11799 Oak Knoll Dr   \n",
       "380967 -97.730994            N Ih 35 Svrd Nb / E 15th St   \n",
       "380968 -97.834105              6301-6617 S Mopac Expy Nb   \n",
       "380969 -97.772750                        6900 S IH 35 NB   \n",
       "380970 -97.944348          14300-14314 ROUND MOUNTAIN RD   \n",
       "\n",
       "       traffic_report_status traffic_report_status_date_time  \\\n",
       "0                   ARCHIVED       2022-09-14 15:30:04+00:00   \n",
       "1                   ARCHIVED       2022-09-14 14:10:02+00:00   \n",
       "2                   ARCHIVED       2022-09-13 13:25:04+00:00   \n",
       "3                   ARCHIVED       2022-09-14 14:10:02+00:00   \n",
       "4                   ARCHIVED       2022-09-13 19:20:03+00:00   \n",
       "...                      ...                             ...   \n",
       "380966              ARCHIVED       2024-07-23 16:25:15+00:00   \n",
       "380967                ACTIVE       2024-07-23 16:30:20+00:00   \n",
       "380968                ACTIVE       2024-07-23 16:30:20+00:00   \n",
       "380969              ARCHIVED       2024-07-23 16:35:16+00:00   \n",
       "380970              ARCHIVED       2024-07-23 16:35:16+00:00   \n",
       "\n",
       "                      agency  \n",
       "0                        NaN  \n",
       "1                        NaN  \n",
       "2                        NaN  \n",
       "3                        NaN  \n",
       "4                        NaN  \n",
       "...                      ...  \n",
       "380966  AUSTIN PD             \n",
       "380967  AUSTIN PD             \n",
       "380968  AUSTIN PD             \n",
       "380969  AUSTIN PD             \n",
       "380970  TRAVIS COUNTY SHERIF  \n",
       "\n",
       "[380971 rows x 10 columns]"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url = 'https://data.austintexas.gov/resource/dx9v-zd7x.json?$limit=500000&$where=latitude between 29.5 and 31 and longitude between -98.5 and -97'\n",
    "r = requests.get(url)\n",
    "r_df = pd.read_json(io.StringIO(r.text))\n",
    "r_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "def90a8f-05c7-40c1-9a84-d955dfb3a263",
   "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>traffic_report_id</th>\n",
       "      <th>published_date</th>\n",
       "      <th>issue_reported</th>\n",
       "      <th>location</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>address</th>\n",
       "      <th>traffic_report_status</th>\n",
       "      <th>traffic_report_status_date_time</th>\n",
       "      <th>agency</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5F5898E4726001663BA5A126B313B03B1AED3F07_16631...</td>\n",
       "      <td>2022-09-14T15:14:19.000Z</td>\n",
       "      <td>Crash Urgent</td>\n",
       "      <td>{'type': 'Point', 'coordinates': [-97.711561, ...</td>\n",
       "      <td>30.307396</td>\n",
       "      <td>-97.711561</td>\n",
       "      <td>4900 N Ih 35 Nb</td>\n",
       "      <td>ARCHIVED</td>\n",
       "      <td>2022-09-14 15:30:04+00:00</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3791C82875F2B544CEFA8FBE35109575B1431A30_16631...</td>\n",
       "      <td>2022-09-14T13:50:59.000Z</td>\n",
       "      <td>TRFC HAZD/ DEBRIS</td>\n",
       "      <td>{'type': 'Point', 'coordinates': [-97.820007, ...</td>\n",
       "      <td>30.233228</td>\n",
       "      <td>-97.820007</td>\n",
       "      <td>4953-4973 W Us 290 Hwy Eb</td>\n",
       "      <td>ARCHIVED</td>\n",
       "      <td>2022-09-14 14:10:02+00:00</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>00F36866326DA3B8DDE0D960226DCD6AFB5AF127_16630...</td>\n",
       "      <td>2022-09-13T13:02:12.000Z</td>\n",
       "      <td>Crash Service</td>\n",
       "      <td>{'type': 'Point', 'coordinates': [-97.780078, ...</td>\n",
       "      <td>30.439546</td>\n",
       "      <td>-97.780078</td>\n",
       "      <td>13096 N Us 183 Hwy Svrd Sb</td>\n",
       "      <td>ARCHIVED</td>\n",
       "      <td>2022-09-13 13:25:04+00:00</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5546443CF7936F056C25DF636352D217C030756C_16631...</td>\n",
       "      <td>2022-09-14T13:16:12.000Z</td>\n",
       "      <td>Stalled Vehicle</td>\n",
       "      <td>{'type': 'Point', 'coordinates': [-97.735557, ...</td>\n",
       "      <td>30.383593</td>\n",
       "      <td>-97.735557</td>\n",
       "      <td>0 RESEARCH NB TO N MOPAC SVRD NB RAMP</td>\n",
       "      <td>ARCHIVED</td>\n",
       "      <td>2022-09-14 14:10:02+00:00</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>85CA1FFDE3C0A7F9418AA74D8309CAF5A31749E9_16630...</td>\n",
       "      <td>2022-09-13T16:32:09.000Z</td>\n",
       "      <td>LOOSE LIVESTOCK</td>\n",
       "      <td>{'type': 'Point', 'coordinates': [-97.933901, ...</td>\n",
       "      <td>30.597314</td>\n",
       "      <td>-97.933901</td>\n",
       "      <td>Round Mountain Rd &amp; Great Oaks Blvd</td>\n",
       "      <td>ARCHIVED</td>\n",
       "      <td>2022-09-13 19:20:03+00:00</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   traffic_report_id  \\\n",
       "0  5F5898E4726001663BA5A126B313B03B1AED3F07_16631...   \n",
       "1  3791C82875F2B544CEFA8FBE35109575B1431A30_16631...   \n",
       "2  00F36866326DA3B8DDE0D960226DCD6AFB5AF127_16630...   \n",
       "3  5546443CF7936F056C25DF636352D217C030756C_16631...   \n",
       "4  85CA1FFDE3C0A7F9418AA74D8309CAF5A31749E9_16630...   \n",
       "\n",
       "             published_date     issue_reported  \\\n",
       "0  2022-09-14T15:14:19.000Z       Crash Urgent   \n",
       "1  2022-09-14T13:50:59.000Z  TRFC HAZD/ DEBRIS   \n",
       "2  2022-09-13T13:02:12.000Z      Crash Service   \n",
       "3  2022-09-14T13:16:12.000Z    Stalled Vehicle   \n",
       "4  2022-09-13T16:32:09.000Z    LOOSE LIVESTOCK   \n",
       "\n",
       "                                            location   latitude  longitude  \\\n",
       "0  {'type': 'Point', 'coordinates': [-97.711561, ...  30.307396 -97.711561   \n",
       "1  {'type': 'Point', 'coordinates': [-97.820007, ...  30.233228 -97.820007   \n",
       "2  {'type': 'Point', 'coordinates': [-97.780078, ...  30.439546 -97.780078   \n",
       "3  {'type': 'Point', 'coordinates': [-97.735557, ...  30.383593 -97.735557   \n",
       "4  {'type': 'Point', 'coordinates': [-97.933901, ...  30.597314 -97.933901   \n",
       "\n",
       "                                 address traffic_report_status  \\\n",
       "0                        4900 N Ih 35 Nb              ARCHIVED   \n",
       "1              4953-4973 W Us 290 Hwy Eb              ARCHIVED   \n",
       "2             13096 N Us 183 Hwy Svrd Sb              ARCHIVED   \n",
       "3  0 RESEARCH NB TO N MOPAC SVRD NB RAMP              ARCHIVED   \n",
       "4    Round Mountain Rd & Great Oaks Blvd              ARCHIVED   \n",
       "\n",
       "  traffic_report_status_date_time agency  \n",
       "0       2022-09-14 15:30:04+00:00    NaN  \n",
       "1       2022-09-14 14:10:02+00:00    NaN  \n",
       "2       2022-09-13 13:25:04+00:00    NaN  \n",
       "3       2022-09-14 14:10:02+00:00    NaN  \n",
       "4       2022-09-13 19:20:03+00:00    NaN  "
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "03826607-e09d-438d-9797-37a8b6eeab3d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f42cae93aa5d4e52a649aceb73fd973f",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": "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",
      "text/html": [
       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img src='data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAoAAAAHgCAYAAAA10dzkAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/H5lhTAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdd3hUVfrA8e/MnZZJbySEhEBIoUNAwNBBELCBYu993bWsupa17erPsuq6yuq6ugqKvaF06b330CEJgRDSe5tMZubO/P4Y0kiAUEICeT/P4zMyc+feMyeTmTfvOec9GpfL5UIIIYQQQrQZ2pZugBBCCCGEuLAkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGMkABRCCCGEaGN0Ld2Ai5nT6SQzMxNvb280Gk1LN0cIIYQQTeByuSgrKyMsLAyttm3mwiQAPAeZmZlERES0dDOEEEIIcRbS09MJDw9v6Wa0CAkAz4G3tzfgfgP5+PhcsOuqqsqhQ4fo0qULiqJcsOu2ZtIn9Ul/NCR90pD0SX3SHw1dqn1SWlpKREREzfd4WyQB4DmoHvb18fG54AGgl5cXPj4+l9Qv5LmQPqlP+qMh6ZOGpE/qk/5o6FLvk7Y8fattDnwLIYQQQrRhEgAKIYQQQrQxEgAKIYQQQrQxEgAKIYQQQrQxEgAKIYQQQrQxEgAKIYQQQrQxEgAKIYQQQrQxEgAKIYQQQrQxEgAKIYQQQrQxEgAKIYQQQrQxEgAKIZqNxeZg5o5jWGyOlm6KEEKIOiQAFEI0m0V7sykst7F4b05LN0UIIUQdEgAKIZrNuB6hBHoZubJHSEs3RQghRB26lm6AEOLSZTbomBTfoaWbIYQQ4gSSARRCCCGEaGMkABRCND/VDslL3bdCCCFanASAQohmZ01azqqjVqxJy1u6KUIIIZAAUAhxASy0xFJZVsQiS1xLN0UIIQQSAAohLoAre0VgjRzN2F7hLd0UIYQQyCpgIcQFIKuBhRCidbkoMoCffPIJvXv3xsfHBx8fHxISEliwYEHN41arlUcffZTAwEC8vLyYPHkyOTmnLjxbXl7OY489Rnh4OB4eHnTv3p1PP/20uV+KEEIIIUSLuygCwPDwcN5++222bdvG1q1bGT16NBMnTmTv3r0APPXUU8ydO5dffvmFVatWkZmZyQ033HDKcz799NMsXLiQb7/9lv379/Pkk0/y2GOPMWfOnAvxkoRom2Q1sBBCtAoXRQB47bXXctVVVxETE0NsbCxvvvkmXl5ebNy4kZKSEqZNm8b777/P6NGj6d+/P19++SXr169n48aNJz3n+vXrueeeexg5ciSdOnXi4Ycfpk+fPmzevPkCvjIh2pjUVWDycd8KIYRoMRfdHEBVVfnll1+oqKggISGBbdu2YbfbGTNmTM0xXbt2pWPHjmzYsIHLL7+80fMMHjyYOXPmcP/99xMWFsbKlStJSkrigw8+OOm1q6qqqKqqqvl3aWlpTZtUVT1Pr/D0VFXF6XRe0Gu2dtIn9bXa/ogcCofXQOdhcIHb1mr7pAVJn9Qn/dHQpdonl9rrORsXTQC4e/duEhISsFqteHl5MXPmTLp3705iYiIGgwE/P796x4eEhJCdnX3S83300Uc8/PDDhIeHo9Pp0Gq1fP755wwfPvykz/nHP/7Ba6+91uD+Q4cO4eXlddav7Uw5nU4KCwtJSUlBq70okrjNTvqkvtbcH3a1A4fW7aJLOy/0yoVrW2vuk5YifVKf9EdDl2qflJeXt3QTWtxFEwDGxcWRmJhISUkJM2bM4J577mHVqrMfRvroo4/YuHEjc+bMITIyktWrV/Poo48SFhZWL5tY1wsvvMDTTz9d8+/S0lIiIiLo0qULPj4+Z92WM6WqKikpKURHR6MoygW7bmsmfVJfa+6POTszKFQMUGXk2j5hF+y6rblPWor0SX3SHw1dqn1SPYLXll00AaDBYCA6OhqA/v37s2XLFv79739zyy23YLPZKC4urpcFzMnJITQ0tNFzVVZW8uKLLzJz5kyuvvpqAHr37k1iYiLvvffeSQNAo9GI0WhscL+iKBf8F0Or1bbIdVsz6ZP6Wmt/jOsZxuK9OVzZI0R+by401e6efxk1AhQ9IH1yIumPhi7FPrmUXsvZumjzuU6nk6qqKvr3749er2fZsmU1jx08eJCjR4+SkJDQ6HPtdjt2u71BOltRFJxOZ7O2W4i2rromoNlw0fz9eek410U4sopbiEvGRfEJ/MILLzBhwgQ6duxIWVkZ33//PStXrmTRokX4+vrywAMP8PTTTxMQEICPjw+PP/44CQkJ9RaAdO3alX/84x9cf/31+Pj4MGLECJ599lk8PDyIjIxk1apVfP3117z//vst+EqFEKIZRY2ozQCejboBZEzjIyVCiIvDRREA5ubmcvfdd5OVlYWvry+9e/dm0aJFjB07FoAPPvgArVbL5MmTqaqqYty4cfz3v/+td46DBw9SUlJS8+8ff/yRF154gTvuuIPCwkIiIyN58803eeSRRy7oaxNCiAtG0Z9b4HauAaQQotW4KALAadOmnfJxk8nExx9/zMcff3zSY1wuV71/h4aG8uWXX56X9gkhRJtwrgGkEKLVuGjnAAohhBBCiLMjAaAQQgghRBsjAaAQQgghRBsjAaAQQgghRBsjAaAQQgghRBsjAaAQQlxqpGCzEOI0JAAUQohLzbnu+CGEuORJACiEEJcS1Q5OB1gKpWCzEOKkJAAUQohLSeoqMAeAVucu3CyEEI2QAFAIIS4lUSPAWirZPyHEKV0UW8EJIYRoItmuTQjRBJIBFEIIIYRoYyQAFEIIIYRoYyQAFEIIIYRoYyQAFEIIIYRoYyQAFEIIIYRoYyQAFEIIIYRoYyQAFEIIIYRoYyQAFEKI1ki1Q/JS9+0pWGwOZu44hsXmuEANE0JcCiQAFEKI1ih1FZh83LcnYbE5eHP+frKLrSzem3MBGyeEuNhJACiEEK1RE7Z0W7Q3m3B/DzKKK7myR8gFbJwQ4mInAaAQomU1cajzkndiP1Rv6aboT/qUcT1Cae/rwYtXd8NskJ09hRBNJwGgEKJlNWGos004i34wG3RMiu8gwZ8Q4oxJACiEaFGW8CGs23sIS/iQlm5Ky1Ht4HSApfCUQ751XbKLPyQjLMQFIQGgEKJFLTpQwAHPQSw+UNjSTWk5qavAHABa3SmHfOtatDebwnLbpbf4QzLCQlwQEgAKcYmyq07m7Mxo9RmicT1CCfQytu1FDE1Y8HGiS7bfzqIvhBBnTgJAIS5Rh3LLL4oMkcxjo0kLPk50yfbbWfSFEOLMXWKfHEKIal3aeUHVJZghEkIIcc4kAyjEJUqvaLm2T1irzhBdsgsZhBCilZMAUAjRYi7ZhQxCCNHKSQAohGgxl+xChuYkZVKEEOeBBIBCiBZzKS1kuGDD2VImRQhxHkgAKIQQ58EFG86WMilCiPNAAkAhhDgPGgxnN9dQrZRJEUKcBxIACiFaziU0n63BcPb5Hqq1WWDVP923l1C/CSFahgSAQoiWcynPZzvfQ7UbPgbPYPftpdxvQogLQgJAIUSLsYQPYd3eQ1jCh7R0U86/8z1Um/AoVOS5b2UeoBDiHEkAKIRoMYsOFHDAcxCLDxS2dFNaP4MZRjzrvpV5gEKIcyQBoBCixUgdQCGEaBkXf/EtIcRFq3rhhBBCiAtLMoBCCCGEEG2MBIBCCCGEEG2MBIBCCNGaSI0/IcQFIAGgEEK0JlLjTwhxAUgAKIQQrYnU+BNCXAASAAohRCtgsTmYueMYFlXT4jX+atpic7RYG4QQzUsCQCGEaAUW7c2msNzG4r05Ld2UVtUWIUTzkABQCNE6tNHFD9XZtmExQeenKPZ56Ecp0C3EpU8CQCFE65C6ikrFzLolM5p/6LEVBZvV2ba1yQVMiu+A2XCO9fnPwyKS6gLd59wWIUSrJQGgEKJ1iBrB9qQ0Dnr0a/6hx1a00va02bYzDVZlEYkQogkkABRCtA6Knrih15NaaGNoTGDzXqsVBUmnzbadaWZU0bf4IhIhROsnAaAQotVYk5xPhI+O33+djnXv/OYbor2YgqQLmRkVQrQZEgAKIVqNcT1CMR1bS5Qmh6R9O1vFEG2LU/TEj76JAB8vWZQhhDhvJAAUoq1rRQsizAYdN918J7rAznQNACIHt3STmp2lspJ1C3/AUll50mNkUYYQ4nyTAFCItky1w9opoNHC7MfBZml4jM2Cbfk7zN6SdEEKA5s9PLg8NgxD7BhIW9/s12tpO1bNosBhInHV7JZuihCiDZEAUIi2LHUVdBoC66ZA+ABY92H9bKBqxz77Cbbt3kO/NY+wdOfhC9OuVrRIo7nFj5hEkK6KviMmtnRThBBtiASAQrRGF2pYNmqEO+t38zfYyvPZYAmlUjHXzr1LXcV+tQNdLTs4UOHLoDlX8PPyzc3bJjj7RRqtaDi7yRQ9OSFDL44FKUKIS8ZFEQB+8skn9O7dGx8fH3x8fEhISGDBggU1j1utVh599FECAwPx8vJi8uTJ5OScfrXc/v37ue666/D19cXT05MBAwZw9OjR5nwpQjTNhapTVx1oefgy3/8O9nslsCPpaG3mLWoEsb0GcrDX0/S2bSVJbc/YFROxlBQ0b7tsFlj1z8aHpE+lFdX3a6pFe7PJLrHy1vz9sveuEOKCuSgCwPDwcN5++222bdvG1q1bGT16NBMnTmTv3r0APPXUU8ydO5dffvmFVatWkZmZyQ033HDKcx46dIihQ4fStWtXVq5cya5du3jllVcwmUwX4iUJcWotMAQ6rkcoAT5e9B19Y202StFj6nE1l19zPx/HTaOncpTVuqGUfXP7uWfZTpWt2/AxeAa7b89E1AiwFILTcdFkAcf1CCWjqJIOfh5S5kUIccFcFAHgtddey1VXXUVMTAyxsbG8+eabeHl5sXHjRkpKSpg2bRrvv/8+o0ePpn///nz55ZesX7+ejRs3nvScL730EldddRXvvvsu8fHxdOnSheuuu4527dpdwFcmxEm0QJ26U640Ve282N/F8isXMNC/CL/uoyFl2bld8FTZuoEPw9GN7tszoehBqwNzwEWTBTQbdDw5NoaM4srmL4AthBDHXRQBYF2qqvLjjz9SUVFBQkIC27Ztw263M2bMmJpjunbtSseOHdmwYUOj53A6ncyfP5/Y2FjGjRtHu3btGDRoELNmzbpAr0KIi0N+uZWXZu6mZN8STF7+DNcfIL/MhsWqnvvJT5XlPLYFBtzvvj2b815kWcA1yfl0DvJkbXIzD60LIcRxF01Rqd27d5OQkIDVasXLy4uZM2fSvXt3EhMTMRgM+Pn51Ts+JCSE7OzsRs+Vm5tLeXk5b7/9Nm+88QbvvPMOCxcu5IYbbmDFihWMGNH4sFtVVRVVVVU1/y4tLQXcQamqnocvxCZSVRWn03lBr9naSZ/Ud7L+OFZk4aWZe3jz+p6E+5vrPMEOh9dA52H1so5TliSRU1zJnzd4898hhexb+ROq6knllt/ZleXLde1KCPTxOstWaiFqVHWD6z8UObS2PWf8M9UCiju7mLISokcfv0TrfI9U2hzYqirpUrKFy/pNlM+SFiT90dCl2ieX2us5GxqXy+Vq6UY0hc1m4+jRo5SUlDBjxgymTp3KqlWrSExM5L777qsXmAEMHDiQUaNG8c477zQ4V2ZmJh06dOC2227j+++/r7n/uuuuw9PTkx9++KHRNrz66qu89tprDe7fsmULXl5n+yV45pxOJ4WFhQQEBKDVXnRJ3GYhfVJfvf7ABUVp2H0i+H7LMSw2FX+zgXY+Ri6PCkSvaMk6vI/2Pkb0R9dA71vB4A4OLTYHC/dk08HPA18PPWH2NIpTt6DgJFHbg3BfI3369Dvv7bfb7WSlHaR9ZBx6VEhZCtFjQN/EObpOFYrSwD8StErDPmlF75EDWaXoSo6gM5jo5KuDwKgLdu3W2ictRfqjoUu1T8rLyxkwYAAlJSX4+Pi0dHNaxEWTATQYDERHRwPQv39/tmzZwr///W9uueUWbDYbxcXF9bKAOTk5hIaGNnquoKAgdDod3bt3r3d/t27dWLt27Unb8MILL/D000/X/Lu0tJSIiAi6dOlyQd9AqqqSkpJCdHQ0iqJcsOu2ZtIn9amqSkpSEtGaYyiopBj0fPLbAvII5lP1bzykvEZoZFc8d2zAt8do8oyxxK+9Da/OAzDs+D+489eac8XGxLB0fy5jurVj0SYYnvNXfmI8/Uzz6XHTtHPIAJ7chsU/U+kyUXpsL5dXrgbPdpD0CfS8sUGW8uS61vtXa32PhEc6WLY3iNEeSRhjRl7QeZ+ttU9aivRHQ5dqn1SP4LVlF00AeCKn00lVVRX9+/dHr9ezbNkyJk+eDMDBgwc5evQoCQkJjT7XYDAwYMAADh48WO/+pKQkIiMjT3pNo9GI0WhscL+iKBf8F0Or1bbIdVuzi7JPbBb3SteER2uybueLtuQoSnggirWIzxZsppsjlTf5FyVOT77QvsihouHkR01kaMH3bDyUT2rIeOIyV+PxhwVQpw+9PBQm9YsA1c6orY+Sow/hVudSzI9uwezVPH/49Bs5icRVs+k7YiIKE2DB89B1Aph9IW2te4FMNdXuXvARNeK0wVNrfI94eShMvCwKuHCZv7q0Wi021cWSvVmM6xHa5reba43vkZZ2KfbJpfRaztZFkc994YUXWL16NUeOHGH37t288MILrFy5kjvuuANfX18eeOABnn76aVasWMG2bdu47777SEhI4PLLL685R9euXZk5c2bNv5999ll++uknPv/8c1JSUvjPf/7D3Llz+dOf/tQSL1GcK9UOBakXftL/uRYe3vAxGH3gh1vPvObd6fhHuhdZRF/B493K6cVBFL0HEfoCQEfnki30TPkfqQUWRlatJNKyG9OVL4NXUKOnsx5YTJF3LGG6Eryufr3Zgj9wbwc3ePyt7mDk2BaY+BF0vbpm0YjF5mDmjmPuunmnWk18tvUE25gl+3MoLLedugzNxVhkWwhxUhdFAJibm8vdd99NXFwcV1xxBVu2bGHRokWMHTsWgA8++IBrrrmGyZMnM3z4cEJDQ/ntt9/qnePgwYOUlJTU/Pv666/n008/5d1336VXr15MnTqVX3/9laFDh17Q1ybOk8NrQGd0315I51J4WLVDu25wYC7EXXXmNe9OR6vULIAoTD9IP+Uwns4iALzVMsyUoi9OoXPSdI4WluGXu5n9v75OUlp6g1NZCrPJn/0K+yoDSOtwLabe15NeWMHtn28kvbDi/La7rrr9W6c0zqK92bUBy6lWE59tPcELpF4g24LGdgsh0MvIlT1CTn7QRVhkWwhxchfNIpDWqLS0FF9f3ws+iVRVVZKTk4mJiZE09nGqzUryluXEDBiNYriAxbzPYPixgeSlYPLBWpzFob1b6HzNc+ctq1bvPZK6gmKbC/sv9xFAGajgBMoxUYQ3WhxEUIQVLQac7Fdi6X3b6xB9Rc1ryvloDJWleTjsduyqEwsaepFFFmb+o72LJx57gYhgv/PS9toXYYekRZC9B4Y8UW+I3GJzsHhvDlf2CDn1kGWdIXZVMba635uZO45RWG4j0MvIpPgOF/z6Z/RZci7v9YuEfLY2dKn2SUt9f7cmF0UGUIjTUvTu1ZMX+ovpXAo2H89cLbT1ZmOH+1mcXHb+23f8On4GDdb7VpKkjcOqmHlTeZiVE5ayXBmCp17PLNcATDixAT1IIv+HR7H+dB/YLKSnp+EqOIK300pHNYMosuhLJhpchFPBC86vOPC/u7GUn+dJ1amr3Ct5DWZ3EFdn6LG6aDVw6gyawQwjnj3v8yvPl3E9Qk+feWstWqA4uRCi+bTt2b5CtKTjX6hX1slmNed1IgD+thmAV6sfG/wV2CxM3vAx+eHv4v/NKJwq+Cv5lCUtJ/et7nRQi9ihRNJbTUMBXEAlYAQKFT1FBNLRo4ptH91F76sewLfnhDMLEk6W6Ysa4S7mnJnoXvmbuqr+4g+oNxTcEhm0c1U3kBVCiAtJMoBCtLB6W7C1xET741myoC79mGp4AAC7CiZnJR1U95zBeDUN5XjdVA3gdfM07C9mkzxwChE9hqJY8lAVI+s2bjrzOWKpqyB5MVQW1Z+rp+ghbjwM/wvYKxud43dRZdDOJ1mQceFJn4tLjASAQrQmKcsg7+C577N7lm7p402xEohLZ6ZC2/hcynKA7hNZdKCAA54DSPQcTvDVr5AePIIhlw+CyMG1X5R1vzRP9gUaNQJirgQPf3c5nBOdYujxlPsXX8pa8YKM1rKw5bxrxX0uxNmQAFCI1kbTQte1WfCrOEpwxzgq9MHkqf40luvIHfMfSF3FuB6hBPh40WfMLfj2u5677nsU3z7XweHVtUFs6ioqXVrSvrwf677fG/8CVfTQ7RoY9dfzO1fvIsjYnHWwdKqVz+fDOfRdvRXal5Lm7nMhLjAJAIVoTaKvgKA49+2FtuFj8AjEUVVBuiuQVH0cK5SB9Q55zH4vMWHtIWpEg+xbfkkZ06f9m8yF71JVebw0TNQIcld/yVFzdw7v3gSWQve8vrMILE4ZLDVW7+8iyNicLFg6bWDY3AsyzqHvLtlheVkEIy4xEgCK5nURZGFalZb8kkl4FLyCSPYaREX7gfgYXAye+EfKoieBAj+RwK33vXjS9s2b9SPds2aRWmageP+ymjIywbd+TKC2gsjr/gpaHZgDziqwaCxYqg6UbGs/aljv7yLI2AyLCeJwfgVDYwKB2tczZ2dGy2bRzqHv2uywvBAXGQkARfO6CLIwZ+uSm+tkMMOovxJ54/8RYNbT/8an8fXyQX9kKRbMTNTtZkTcybM610y6lf3tJxEa7I/3Xd/XBIlmLx863fAqi5JLsYQPOevAYlyPULxMOqwOtabPq4PChd43QEVe/TmEF0HGZt3+o0wq+571+93Ft6tfjwZNy2bRTuw7+UNOiEuOBICieV0EWZiz1dxznVoqwDR7eND9pr/j4bJB1Agq716AVqul8u4Fp3xekK839zzwZ6L/8ANm38B6j9X01YHCmsDiTF+f2aDDoNNSYXXU9Hn1cOOYPp3d9f4U/UUVqEwo/on25QcYX/wjUPt6ru0T1rqyaJfwH3JCtFUSAIrmdRFkYc5Wc891mrEtnW82pPHrtmPNcv5TqvNzC+rcG8+XjhDkyD3rwKqxvmpSAF2eD19d5749fp4gs5bxpj2g2hsON7ZgoFIT0FZWnmEQ6qz5v1Y3fFqd+YscfMn+ISdEW3VeA8CAgIAz+i8wMJC0tLTz2QQhLpjm/rLem1GKzeFkb0bJ6Q9uZnlrp1Hx3Z3krZ12Vs9vrK+aFED/ej94hrhvj59nok8KJi//xoO8qBFYy4uYVdrlvGROzyRLWR3QJq6a3eQgdKHPZCq0XizyufGc23oy55RJrg6o09Zfsn/ICdFWnddvruLiYqZMmYKvr+9pj3W5XPzpT39CVdXz2QQhLhnPjo9jypJknhwb09JNwbTiVVyomFa8CiMeOS/nbNIuGJO/cAd/k7+ovS9qRO2etCdS9Cyw9qDQcn52BzmTnUbG9Qhl8d4c+l42EY6ta1K2bIT5CD94Xc1t5sNAt3Nq68lUv4a5OzMx6LSM6xHa9D9aTtXXQoiL2nlPXdx66620a9euScc+/vjj5/vyQlwyzIqLCR57MCvRLd0UrHE34nvwW9B5QEkW+LY/79ew2Bws2pvNsEgzOYvfp/M1z2H2CoJ75tQ/sHp4+iSGxQQxZUkyE+PDzrlNZ3KuegHtKdpX1wpbNzp5rWWlrTsTz6Whp1AdmFod6plvm3eavj6V6p/nGQWcQogL5rwOATudziYHfwBlZWVERUWdzyYIccnYvHwmG49ZWf3lS+55ZS0oz2nGqTHicpRhn35ds1yjOlO146c3KcCXI/PePavzrEnOp3OQJ2uTC865TefzXI25slcE1sjRjO0V3uCxs59TWF91YHpdn7DzMmfVUlnJ+gXfYt07/5RtumQLQgtxiZBFIEK0UjlBAwkr2IJFVdi54rcWbUuniS9jcSlocJFXUtksZUGq5wTG3/ISQZTQ6Zrnzu48XQPpVrGZK7sGnLc2NddCH7PiYpLXfsyKq979FpuDN+fvJ7vYypblM1l11Io1afm5Xets5qxWlsBvj7hvj9uxahaagkMk7dt5ynmOl2xBaCEuEc2Wl58zZ06j92s0GkwmE9HR0XTu3Lm5Li/ERe/a+E5szbscr4o0ukf6tWhbzF4+HPUbgLZgPVBB3pZfCe4Q5Q4AGhsiVO21c8eauHCg7hBq0K1vnFH76g03HltHfHQYqbPfpPPElzB7eJz6yaod64HFbE8rou+oyfWOb9I8xXORtAiSFkL6JhjxXE1fLdqbTUdfHaajK8iJHYpPzlYWWYad/2Fi1Q4FqRDVCRSl4eMLngevEPftDZ8CED9iEjtX/kZsR79Tzg1s9r4TQpyTZgsAJ02ahEajweWq/5dt9X0ajYahQ4cya9Ys/P39m6sZQtSTX27lgyXJPDU2hiAvU0s355TMBh3DJ9zWaibhf28ZwB/ZQaXDRbv5f2B3/Iv0mvh04wfXLcdylnPIThlEqnasu36jZN1UvG//hkVpjprhxiu7DmHd9Jcpaz+QklWzGTz+1lNfY+0UkrItaByQeLrjz7fMnZB7AJzOen01rkcoicvXEj+sB5qqoyw0jT4vQ7c7Vs0ifsSk2iD30AqwFLhvu01o+KQJ77iDvwnv1Nxl9vAgYcId59QWIUTLa7Yh4CVLljBgwACWLFlCSUkJJSUlLFmyhEGDBjFv3jxWr15NQUEBzzzzTHM1QYgGPliSTG6plSlLklu6KU1zIesoHh/WTc8r5vbPN5JeWFHv4Tvv+SN7lB500hRhc0Lcjn9AyrLGh4HPRwHwxmr6Ve/5m7QIy8op2OxOyr6/p95w46IDBaTGPkhxcQnp/peduvxJ6iroNISuQXrwj6bviOZainESoT3B4AmOSnetvePMBh2Dx07GQ7Vgih19XsoN7Vg1iwKHyV2mpqk8fN2ZP4/TV3ZoFWTHEiGarNkCwD//+c+8//77XHHFFXh7e+Pt7c0VV1zBP//5T5599lmGDBnClClTWLJkSXM1QYgGnhobQ4iPqdlKq1hKCkibehfpaSks+vhJls+a1uILOE7HYnPw06YUNn/1Ij/8OgPrx0O4/egr3P7hIvLLrTXHxXYIZOyLv3I0+lZ0Wi1blf6o397CsqnPNzxp3dWjZ/GFbLE5mF3cEdvBpWCrgIML3efY8LF7z9/sPZhHPolBr8X79q/qzW8b1zWQ3lXbiQ7Q45exliW7T1FIO2oE2CwYRj5LwlV3nH64+CydtBafzgj+nSAs3l1rr67zHPzHj5hEkK6qfpDbZRSYA923jakOuG2W89KGZic7lgjRZM0WAB46dAgfH58G9/v4+JCamgpATEwM+fn5zdUEIRoI8jLxxvW9mm34N++XJylU/LF/cxOVJXkYE6djfCeUYzNfYN/3L2ApLz3pc/NLyvhq+qeU7JxTP2Bq5qzGor3ZFO5eyrqjFkZVLsBXLWQMW3nR+d+GmVKDmc73/A/Dq7kMUrfiBEYem3bytp3lF/KivdkYMzZxoAg4tAwKD7nPkfCoe8/fIU9gir+FkMeWYA4IxWJzMGvbYax752Ne/08S8mdwuX0T7R0ZjDMfPPmFLlCG9aQrYqOvgLgJEBTb7MP8Zg8PBo+/tX6Qq+ghMOrkr7864N7wcbO27bwJHwBbvnDftgKX3H7h4pLSbAFg//79efbZZ8nLy6u5Ly8vj+eee44BA9y/nMnJyURERDRXE4S44IJvmkKAWoT+rl8wefpyuWsXKtB+539RK/LJ/epuyl4NJ++VDsxbuoLVs6eS9N+b+eI/r1HwwRBMeXtYv2E9rP4X1t2zWf/7t1gPLG7WrMa4HqEE9hpLXI/+fKm5GT/FQgV6umizTpopzS8p44gSVPMBsu2Texo/edQINk97EfXryRS94svOvTvqP36SDNO4HqFURQwjtnsfrOFDSduzHku7eDCY3Xv+GsxYbA7mbNqH9ecH+eecLeiOrHGvTM3YAYoeg9NO7z79McWObnJfnNcv7DqB+0lXxCp6LJ3HMNPSE4uqOePzNrvjAbel/x8ujkBm82fQ8XL3bSsgpXBEa9ZsAeC0adM4fPgw4eHhREdHEx0dTXh4OEeOHGHq1KkAlJeX8/LLLzdXE4S44My+gUQ++A0RkdGgN5GoiUEByoL74YuF0KKtGNUyfCln9Kqb8N//HRV5aUzK/ZRCl5m+FasZHuUFeg/SN82E/XPJWvsNlOc2W4bIbNBx86AuXHXT/Twek0sGIXgpdtpRgse/OvP3L3/lixV72fX9S+RnH2P/9McwfxjHKs1IAFQX9M2ZT3q2+489i83B23N3seTFXqivBtFf3QKAD9Dzx5Gor/gy/bO33UPjc5+E8hxY92G9wMZs0DGxfydMPa7mUNIu0rz7cmTBB+4G2yzYlr/DP+dsIX79E2zK0XJL7kds1vQitnsf6H8vhPWDiR9B3Pgzyu6d1y/sOtnPU5VgmbMzg6V7c3ht7t7GA6wTAr6SPQuYv3wFJXsWnHsbT+d4wD1nfxErD+Qxd2dm81/zXFRniBMebemWAFIKR7RuzbYKOC4ujn379rF48WKSkpJq7hs7dixarTvunDRpUnNdXoiWU1kCC56nKO5+ikstKGGj6Hvra/gpeqxbvsex8DlQ7axWLsfLpaVdcDtmO6+mf8lizHfPxTMsDFKWYT2cgX/ZPDoWZ7BvoYXu3a5p1mZbSgrIO7QDT6xocOJNGTYXPJX2GL9lXEeRp4UO08bQ0V5MJQZuds1lkTKccepq1hJB3tcvExGt4TfXFTyR+EeMyskzVHel/4MZ04roHtSeTjlrUHL3kLlvPZ3zVrErcBxxD35VM1QZMuhmOn09HsfoV2vmAe4p0XNL7kcsDriNu9SZLOrxT/4aH4PJEO++QI+zW8xRvWvGKb+wm1ripsnbqGnIKK6EEpi7M5NbBnSs//AJK6pn7cjEZHUwe0cmd/dp8ks7Kxabg8W70wnKWo9CbPNe7HyozhC3ElIKR7RmGteJdVqagdVqxWg0otE0cYjjIlFaWoqvry8lJSWNzndsLqqqkpycTExMDEpjtbvaoFbTJ6odvp0Mob2xl+Uyv8vfubJHSP3Mj2qnZNdctmxYQ99bXyEooPGCxZbKSoxvheLEnaqvejG7yYsUzrg/bBbyPxiMrjITFT0GbGixoUPhH5FTGexTRL+0qZg7xlOWvhuvimMsSfiGKwf3Z+2C7zi2fwvDfPPxsxwloMz9B58LqP6NLwb8ABRABZsLDBpI1Haml/MwGgW0au1zcoMHYO4yFK8tH2DHSIUxGBM2PG/8BCIHY1v7EYs8r2Osz1H3EG8Tsnzn7T1ycKF7TmJAF3eG8RxZbA5en7OT8KItBPcey82DutQ/4ISAM7+kjPmzfuTqSbcS5Ot9Ttc+XZ/M3HEMj7QV6Dx8Mbss9B194yW9rVur+RxpRS7VPmmp7+/WpNl+k51OJ2+++SaffvopOTk5JCUlERUVxSuvvEKnTp144IEHmuvSQrSM8nz4ZhIMfRq2T0d/8zdMaqx8hqLHN/4GxsTfcOrzKXq2KAMZoG4GIPudQUQ9v6Z5SnJs+BhdZS56nICdLJ94tKXZGB9ayKsdwtxBSFKIe/Xtde+Bwcyk408des29LO48Aevu9/HPX1pzSg1Q9EQSQcW7CYwagUXVsGhvNp6z/8gV6mpcQF/nYXeA6wJVAUWFLKUd+XYTvbZ8gBPQU4WnWgJXvl0TBBlGP8+1AHQ7/31xEtV19HoG6Sg4sI2wy8Jp0lKi02QMzQYdf++WTfLePOLKfgL12frHnbAfb5CvN/fc89C5v6AmGNcjlCXOYYw0H8QUOwGUSzf4E6KtabY5gG+88QbTp0/n3XffxWAw1Nzfs2fPmjmAQlxSfr0fW0AMRUvewXLzT+cWqKl2diz/hQPD3nP/E4hU08j4YARb372WFR8+wMZXBrDqv4/WW1mcn32M5HdHsnr2Z1iK8yj/Vx9sc/4Cy948dSmPhEeh722Ua/3JvWUBjrCBhD2zlogOYe7HFT2WTlewrirSvVhBtcP+ebDibczYmBTfgS7XPEtxnVNmA0HBITWrbKvn1/ViD3atO0BMVKI4ZOyKqjHiuGc5hf3+RA7+KGg5TCRaIJt2OJ/ch2ngnWe8WvdMFnUkZRTwwrvvk5TR+L6/m5f/xuZjlez6fSqeaUtZvWxu00r8NHEltGd5KpQdc9dWPJlzKMuSX27lpZm765X2OZ2auZjdxl2YWpRCiAum2QLAr7/+ms8++4w77rijXtq4T58+HDhwoLkuK0TLmfwFRXmZzOn1XxYfKDzz59ss2Ja+xYb507EeWEy/2Ehi7ftZ1Od9FCBbCabIpiHEso/4vHl0JoP+WT+R8dV97uzjjAfRTLuCMksV7Xd/hjHxC5xVVZD4DWTtgnlPn3zlqMGM36R/EfK3ZGK79af7rW9g9qo/LFKvkHDqKkheApYi2PAxC79+A+MHcfirtcdX3F5/79rqCfFOQyB6INscS/9XNtP1ljcxvJKB2VFEyb4lODU6bJYi/B5dwk6/cSxI+JnFyWVnvvpVtbN5yc+sPpDFvB1pkLIcnGq9x+ueb/bnb/D3sjeY87l7G7rqgCm9sIKZO46Ro+vIg8eeY7B9Iya1gr7Fi9m5sgl7NDehKPZCa3eKtIFkFFnAeYpg9RzKslx0RdCFEM2q2fL5GRkZREdHN7jf6XRit0uVdnEJ8grC++H5+J5uEUEjLJWV5H33B6waM75qMju0Y0iINjJ47GR35uXGBzAWFpL53StUVR4lxdSOvnnzKVS80eUdQH2vCxh98fYJo2NpEZUaM2nGCKKcZRB/F/bcPWhTFpJcUEnHOz89q4LH8SMmkbhqtruQsEEHDitkbCdv5zzG5iU27I5ZD0GXte6J+dROiC+cnYXq1OBTddR9YPu+7nmTk/6H76inqFzxP/zu/gY8fPkp4iV6+vi6+zN1ZZO2l6sequ0f4YNd50m38s10PZQJCVdBZhrQFVQ7tlXvs1GNo49lAXuyKniC6Sg4+TNfMP+VfZQYwwgjAK/t39BH8SWMAvSqO4D0wkF24ADiO/qdvuPqDuGeZDj4yl4R7MyJJ9iQQdraHwiOGN4gAAfcmdoNH5/VKtenxsYwZUlyvdI+BTkZFK7/imTNHaQv/5L4W17CbCtG83E8hjrPXRd6J93vfJs1qSXu/ZYv4XmAQrQVzZYB7N69O2vWrGlw/4wZM4iPj2+uywrRok5V7qMxlspK1i38gXXzvqQg5yiaynxKOoykz8gbGhQoDgoI4MrHP6b/c3MZ9cQ0yh/eRIk+gg5k40APVSUYtBqCnt2O/8PzMClO1Ee3Y7juX2iPbUIFYjJmkfTOULJejSH98P4mvy6LzcHcXRnYVGdNEGOJGE5qUiIBJwZ/ClQqegLaR7rLu5zgiLk3DkVLpjHGHQz9ej94hsCsPxA8+A56vbSaiIhIPvh9Jz2SP+Ngeo67P5uQSbPYHPz887dkVxnYcbSYYR1N9Ar3o2P3yyme+SwWYxA/rNvP1g/vYHlZBzwz17N52W903/AoOtWJBvdilMvYzk1VM3mgaiqeVBGp5mJFg+v4YEah4oeHyYSp65WNN+Rk2cqTDAebDToSxt1MwZGdlLrMpM19u/FzHl4Nob3Oajg2yODkjYCFBBmcAOxc8Cl+n8bjV5VFp+9GMDpzKl4fdEb3af3gD2BI9rcsnPk12SVW3pq/v/XXAxRCnFazBYB/+9vfeOyxx3jnnXdwOp389ttvPPTQQ7z55pv87W9/a67LCnHB5JeUMf2rz8kvKWvS8Y3NR6seVg1J+oEyl5kyu4aEq+9pUoYuIiKSXi+txnHfcjQaLc4uV8L9C8FgxsM/BK+Bd+LhHwKqHfvwv6EAuXjSVT2Ej1pA8FfDsBRmN6nt1buFbMuys+6b16hUzBye9y4BuSvqHZeoiyfXvz9eQx5D6xPGBksolpIC+O0RqCwhv7CQPFMX9vuMQD/4Ee5aYSJ99EdQkQOTv6h3rutLv2eodTnXl37vvqMJu3Ys2ptNVfhQyosL6TPyBkzdxpFw5c2UzXoS7+KDlG39hoAVf0WXn8jYrY/SO+V/jC6aiU/doWEgCBvFLg+cih4HCqWKGR0G/mJ6hxSlI2uNo2h3+c2NN0K1w9op7sznifP+ThXEKnpCBt2Mp85F5+79GwaQqauoyt5P6rpf3MXBz9QJw8c9N9Vu4Vf9RaDHvRDnRKWKwuSqWRzNykJ3eBm/bTlc//Weh8LUsmuGEBdWswWAEydOZO7cuSxduhRPT0/+9re/sX//fubOncvYsWOb67JCXDDzZv1IllXP/Fk/Nun4OTszGhTTjR96NdHl2/C/80u8vbyJvPPM53aZI/tg+Hsu+rt+aXzhSeoqTDFDsV//BeXthpKpBGFSVMrwouy7u5p0jerdQvx0VRyJuZcdSUcJGfkI3qqz3nFe3kbyAvtjSXiaLeahHDAPoOzrW8FWhu2bGyn+aBTZdjOFHlG8nBRNTrmDvy7MgnvmgFdQzXks5aVEHJtHO/LxK9ja5L4Y1yOUkAAfbrrtvtogWtETprq3nAx2lWG3V9FL6y70XPcDsG49LAtg0kHFyDcw3/41/p36czTyRh6zTiFczSJCzcTk177xhR2pqyByMBxZ1zDQO00Qa+p+FVEJkzClLHQfU/f8USM4lJlLrr4DiUcKzjzoqlskWbWT1vX+Jj3NpvfCEyflxUU8dvhxxpfOoN32KbXXPk/778quGUJcWM0WAAIMGzaMJUuWkJubi8ViYe3atVx55UmGTIRoipNlG1Q7FKRemO2xjrtm0q2EmexcPenWkx9Ur70aTiyFaU5bTnf7fiLK99DvyZ/dq2bPt+NZJ1PP64j508907BhLuSEELyyYBjUtCKjeLeS22+8nODCAvqNvJO2XhgV3o0s3clATy/4Pria421CiLDvJChiImr2XnIIC8jWBXFf8DQHD7uOdyb0I9jbx9uRe9c6RnpFJ5ntDMVKGARshXk2fb9bYEPya1fWzlMO0O9nvCgTcQZ8T+ES5k6Lrv6s9D2BTLRTmHGXm9/9lbac/0zn9NyLVLFQXxDp2nzyTFzUC7JVYBj7GzF05DTJaJ8t0WWwOZu7KoeLYLna4onGses8dSFZT9HSa9Decwd3p2ymwNuhS7XBwIdbds9k4dxq231/EMW0CW2b9B9uyt2pXDBvM5MfdRsqUq6hY+BpRl9/IlkH/RlUMOBTcNRqr/zsuWwlAdYKCC7/KZDyclcRxlG7OZKxJy937L9uqwFJ4zjvVyK4ZQlxYzRoACnHenSzbcHgN6Izu2wukuh5bdTHemi/2ysraoK9Oe6/rE8bIuHZc2yes9iQH5oPOjGPTVGZtO1z/uU11sqDYqbpXvkK9rJPu5q+xeIaz2v96dmVXndG1qgOsFZ8/Sd/c3+s/qIFFkc/SN+VjkjSdyPrhzyyt6kaGMZrNMU/hM/IJujr3k6a0w3fGbUTkrOC7+/sTEeBZcwqLzcGBLx/BhR29qmLFSHaZg/ULvm1ayZVG+ubyJZPq3aVDg0UTSAFe7FLi2Djg39w1pi/6OY9wTKkdevcD9Ht+plj1IGbZA1Q5ndgUDR4aB6WD/9Ywk1f9cwCIGcOiAwWNZrROlumqvv+fpWPxzEtkv0c/95y/OsweHgwefyvl7RNYNvML8mc+x7o5U6nKTSJz62zaH56BbecMKnIPE73rfTbs3E/SlKvJzzhM7scT8P+4B3pLBoWJCyBtPfGRfhT79USDjhJ8OBRylftCxwPBwKv+DxMWXKp7bqTWUYQFE3ne3ZhT3JHQxI9YN+8rSiyWcy4Tc6bzZ4UQ5+a8BoD+/v4EBAQ06T8hzsrJ5lB1HgaOKvdtC6n+Ak9cNbs2SK3T3npfcMezNsSOg6oi1re/A1P6Wvdz9R7YVr3vDgibMh8qaRHsn+u+rasorX6WqDpI9Apif8fb6FS6lZKju7AmLW/8vI1IT09j7+uDGZ/9Tb37U5UwZo5dhdY/kvWDp9FBX0FS/CsUVjpZo+lHn7F3oMtOxBML0WQS5OvJjlkfkLfmK/igF7a5z7F51qdkT78bW8QIijTBHA0cQq65GwW+vem+6Xk2zvmsye2sbdiqBh9yRZ6xmBUnfpTTRz1IwpY/Y176DGbK6ED9IDOcPHooh0ka+xUe/uGkabpSPOFjwq94sGHgfcIfJyfLaJ3u/sfG9eJwyDi2H6sgr8yKxebgp00prJ31GbapE1j52ye8/9lUYotWkmtR6XjgM7aXBRJ22URyIidiCuyIU+fBd4ZbaF+6k+VqPFVfTyYwe737Nam55AZehmXgYxhjxxAcFoXr+s/YG/93ipRgKpzuNHUlGvRLXqQM9+IYF6BTq7CrKiWH13H97wlUpW+joyONrevPbfhXCHHhndc/taZMmVLz/wUFBbzxxhuMGzeOhIQEADZs2MCiRYt45ZVXzudlRVtywq4I9e4PjGrRYrXV+8j2vWwiHFtXW+qjsfamLIODv0NgNCQ8xkCnhkWWOPp2D4HN/2FLZTiX7X6YZY4PuXbQaXa7yN4Disl9W3e/YP9IsGZC9MgG+8lGZCzAX81Gn7+YucUPc9MJp0wvrOD5X3fzaJciBqy8FcXlLkYdCoSdcOwRxR+t1oBqCqAqYhi3mA9iGv0Tmdsz0RcVcrlfGcYpXbFb8tACRmzstLZjr7MjkateB7MHrsRviNUHUuwbR0/bdkJufsm9xRsQ8HoXUO3E7v+Q/PI/EOR1wv4b1ZnWyMGQtr72NmoERI2otyUdQLuKfYS7agNrzfH/nMAxQjBSRDtsgDsRFqscwlyxlNIqlUOG7riSNnJowb9op1jwwMmS9vcx8fIe+Bq0YHFA9BVgs6Bb8S79Undh2FwK/h3g2g/Bw7fx/WFtFkrm/x+mnTvZGDOe8iM76G7dhXXODIrXf0mZMpTOBdPIU4x0yPocneE2piu38EfDPA7GPED8qBsoVzWUrnkep9aJZ+cBXF2YRp7xagYWJFHoO5DQo4fcLxKIzZ5N8juJhI59AgL6YozrijbzZ1yZWzC7XLhU8FBcqPZSfNTaftIBgZQQgXtO5VA1EVTwyzvAD8vuYOxl3Ti4YR7xIyZh9vDAYnOwaG9285WOaeq+zEKIBpptL+DJkyczatQoHnvssXr3/+c//2Hp0qXMmjWrOS57QclewK3HxdQnFpuDxKU/0t8rD6NaBcP/0mAo0fH1DaQoUXQxV6K/8TSZL5ultjbc8Zp7qs1K8pblxAwYjWIw1Q+SDq8mY8ZfMdgLqcTIkf5/Y/i1tYtBti38kr7rnmzSaynUAFo/thFLyqB/0UtN5HKPY+j2z2a/z2AOdr6HSasnYMETsz0PF+BAT96jKXz/4zfcftVIIubcji16AjvVLvS1b0F/zb/qLWbZ9upQ+qq7SVQimN37G/7vhvj6X/x1g9uoEdiSV7DB1YNBYXr2VvrSd+Y4d59odKS0v5borLkoroaZ1VnB91NSXkWfyg30JbXB4xmKD/7YsKo6TNgwYseKgRLFhz2hkxlj3E+6zcThkHEEVyTTPnct3mWpaF0qBu8grKH92ZdrpeNN7xCU9BNWcwiW1f/hWNBgvKpy0GQn4q8WU6z1weHSEe7KQgGsiolMUxyHrH4M8Ehnb8wfWOwcwNPjexCUtZZih44tK+ey1P9Grk97B1+lkm4BWvDvDFoFfDpgObSaqmPr8FHBpkAFXnhQhV1jJrnTHRzpcjuxISa6fJOAzmVHUSDdqz8RJdsaZFCtaDDR8GvjsKEzG9rfzfDc7ykLH07PO95h5q4cCsttBHoZGwa9dVWWwILnYcI7Z7aDTvJS98/eWnrK2pBNdTF9jlwol2qfyF7AzTgHcNGiRYwf33Cj9PHjx7N06dJGniFE27BobzYHPAewzdK+YfAHoOjR3fotXb2q0F/9zwZDjQ0WERjMMOLZmuAPaDgnUtG7g6UNH0POfgKi4lEooYOai2eq+/fRUlJA8qtdThr8OQHL8c//zcYE0vWRMGYKu5ReeOAgatMLpGTkoq7/hIL8DEKOLWHolj9jc2gw2/NIDLsdh8ZE+V2LiQj24/nHHyeiSy94ajeGa99lwKQ/oL9paoMAoIuahAr0UtP5y4FbseSlNwj6sJa6A2BrKQu8r0dNWob++5trgr+mmJT3BfdUftdo8AcQppaywjienC43sJcIDihdKNaHMi36I0b551FSXAAFaTj2L2aTpQPZgYPIDb4cbWgvCL+M/dll5FkNmD8fRN72WbD4b1BZQMe037CW5OODFdBQ5dThCu5GvtbdD6oxiHSvnmSaolgQdC8DvAvRa5xU2lRmlXZh+9zPGJEzlYeSH6PYIxJfvYo1/l4IjnMHfwP+xPY8hWy6sFw3hAWjluHt1wEVPYpWwVVZwrWLR9Lz68swuOygaHGF9sdD76IYz3qhXorLl3LFv0H4l6/A951eZ2Le52hddkLy1kPqKsb1CKWiqBDN7D+wbc8ebMvfYfaWpIZTGxY8D14hsOD5MysH04TakEKIxjXbbNvAwEBmz57NX/7yl3r3z549m8DAwOa6rBCtXs1QccKNgMsd3J04hOXhCzd86v7/6izH8eHbuosITppV6TwMtiyHzu5hVIvNwY7lM+gXPQiPxK/QWPLwVcHpgr75s/jp1Zu5jmVEqY1/6ZZptWzu8x5XsgV7QQq98w+h7TqG7RYTvfvEU7xzAUHaHEpdnuxSu9CZQ2y3hXO5KxXFVYFThb7p37Nk0HTGd+l3Rv1VpgTipWaiAbwqs8n+sCfmV/PrD/1VZ39ixjDW5sA4/4tTnvNMVQF7rprLdQnDGzz2KoBtBNpV/yIruxi9dw9824+gS3xkvWHPiLwcIv87iHwlBP+KDLID++NTfgSH3U7Hyj1UqiqeOPGjhA05JVyrKcGCFix5xFwxAde2lQwOL2XhEehb8S0vzbiJuwL2McIyH4cKndUUQgrT2BP5IGnZDhKie0BgLFX/u4KKDjfiOrYeXddrGD+wB8ah6zAemI911yw8iy01mQAFcOLEMOzP+GnNFCx4iyOlWZjVCsrwwOnZDovLSVBl7VaHDjS85vkhrx15BqVdJ/wK09CPesk971XREbn9NTJtvsTOuJ09fe4lPH0aiQXx9B0xkSV70pmQMx1D5g4IioWJ/2HR3mxyC8v45YcF3HTznaeuiXmyKRZCiNNqtiHg6dOn8+CDDzJhwgQGDRoEwKZNm1i4cCGff/459957b3Nc9oKSIeDW46Ltk5MNYdUd4oR6wY7F5mDx8e3mTjavql5/4GTdkhkkGXsTV7WbwZFeHJzzLmGV+zCrdlLwpzNFaDWAFjQqZCgGVAIow5+OpLHK53r8owcwvIs/bPof+IWzvzKA1e3vJauonFey/4zq25EsiwtDcGf27tmL//X/oGjGYwxXdxwPLNwLCQyvl5xRF+VnHMb383i0au1H1UalI+aoccTd8LdGt0xL3zKTsDn31u+T0wwBn0yWy8BRTTSDX99wRu1ujKUwm6Jpk/GqSCXnlnnE7v8c667f0FJVU4D5xDmL1ffZ7l2MOW0pFTYH/6y4irvDjlG88j8E2QvoYK8tzKwqCs6OQzF1vAySFmLTKDiKM9F36IO+81BwqlgGPsbifdlcaTrI/u1r6JX8ab0+qVA8KB3+d8JHHF/ssuFjaNeNYrw4+tMzRJOM8Xh78zFjVFwUK+0IdBXhPeQRuOKlmnNtPXCIzB+foNvQ64kkl+3WcPp0j2Z7UhrG3F10y5iBp6Jx14H803osNge//PAlXn4BtDfaGTz+FGWWzrOL9nOkGV2qfSJDwM04BHzvvfeybt06fHx8+O233/jtt9/w8fFh7dq1l0TwJ8R5cbIhrLpDnNXDt8dX85oVF5O89mNWagOiU+5KkrKMyzzz6FqZSN/RN0LsOKI8bZTqw7F1uIwA7wASle7YtSacGLCP/yelUXdhUBSMVJIYcS9mDw8Gdg6A0gys/R9kvzWA9t56LLvnEa/uYkG//5Fl1bOy83PYCjIYM24iPvMfJYpsrOhx4P6w2Rp41Rl3UVBoOOr4KdQNGy9XjxKWOoO02a83+pyIAdeTNmrKGV1noxKP8koWG4d8yldjNjP/uq3sCxhFsaYdnjoX+XnnXqDYHBCKtjKPInzx/vk25nR4Akfn4fV23zgx+Ku+T/fNBLbk6dDr9bzau4SvMsPZ6H0VBU4jxzAC4FRARUV/eBXq2n9RmHsUjc2Kuc/N6DsNhdz90GkIiSt+JXzvZ6xOKUCpyK13LSegqJWErP4rJVt+wmJzsLzQl22zP8b50914UYzBBaWKP8eUEDwV0Os8CFYzKY2+DoY9Ve98l3XtwnV3PEVMXG8MkQO5fMJteKgW4kdMIrPb/Rg6DQKjGYY84e4jg46bbr6T9ka7e9/pajYLrPonSTuWYX01iGML/n1B634Kcalp1jqAgwYN4rvvvmP79u1s376d7777riYbKERLarRm34VSd07fyXaGODEwrBsQNlILcd6sH8mp1LLj+1cbfS1GRSGhSyBmxUXezkU8oX2ZgJAOeNz5E8FPrmXgiIl43DIN503T2Wxph6kinVJDKNZOozG278mQe9/AZDCCC1L3bYXSLEr2L+N651J0RamM8cvE89bP0R9eSLvM5agLXsbTlocdBQ/FTqm5I+lhY+n74P/OvL9SV2Hq0B3vPrfUu1vRaDGWpzeYK/blKyNQX/ElcsWTTb5EmTmM/tc/AWnr6RcVwhXJbzCmWwhdHvkBp0cQx8zdOfrd4zV7N59VTcLjdEP/TCj5HOx0J2EHv2F593+wynvCaZ+3m+7EHPyEXWV+YPLh6dg8coMvoyNZlCgRpHvE4Ioah6E6mFTBlzLyKuzQeQiEdIdr/w02C/0i/aloP4iOSV+id9V5vyjgUBSMWsggHNvS17G/142Enc/Tt3I9HmoJkWoeLg0YKENvDsZDtWCqKsTlUrGkrKs/F7Va3fdz9XtetRNx4Ave4j6s7S+D2ON9oNoxH1vH4LGT6w//bvgYq9GfzrNvQIed4E1/P+fdR4Roy85rAFhaWnpGx5eVNW0PVSHOtwY1+1KWnZ9A8HiWomb3hbqqA7+UZaffOqvu3Kbkpe7Vu9VfoI1kDa+ZdCv9XPsYMPKahueNvsK9ICD6CkhdxX/XHOWavM/4g+OZ2u3Xio6A3kzqzrV4Zm6g2LsbZaYwOsWPIuGqO9xfxMfP0+naF8AnjOCo3lS2680VQwdjih3N+r2pTM58H72zHFyV+KkFRHMMF2CuyqPTwz80Olx7Wsdfrz2h/nxio6MANSuRH5dsASApLZ1tL0dzN4lnfInCKhVrxh6IGoFu149kmOPY+9n9rF7wEzv6v0Oc4wBditdifCuUQ1tXud83Z8k7cz121c6wlH8Rn/xfLp9zGcPLFqDiLrVzMn3V3Xg7i4g7/CVYS/GNG8mfM54jxzeecPII7jUWV8EhShWzu4iNAhZMeHvo+WLGHKrmPetebRs1ApNOYURHEz+GPYdaJ+dYiRmP6z+hfNJ0vPUqRo0LA1UYcIITDLgzhFoV9mp6E1K2p+a5Hk4nrjt+atjwk5RqSZnzDkuPOrk25VV+L4mEze7V7sc2z2Tej/9l81d/de9V/dsjWNL3UrTlR7K2L8SGe5qCBpcs/hDiHJz3QtC5ubmnP/C4Dh06kJra+Io7IZpTddHdviMmuoMpOLf9TKsDvzXvQXk+rPuw9rETAz84+crF6mNtlvrPSVtfmyk8IWtosTlYk1rCkHvfwE+n1p63sZ1AokZwq2YJ8a5d3Gb5Hkt5KfxwK4T2hnVT6HzZWMx6hQKPjixz9CExJR2mX+N+TdXXNZg5GPcHtD1voNsNL2PK3weqndG7n0eHAxegoqMKA1W4P2RUg/fZ12k7ft3cz6+t7Sbc27VFqVncvXE86iu+dJnak76avLO6RJ7Lj6fSh2MpL2XXkRwCD35LcNFmhu94iolrryHUkYmXWgHAHVU/sPpY1SnPd6qVrMcy06mbIwvEPcR7wi5sjVPBXJiE+vVkrK+3Z4XPVYSomWRG3YjOK5CCkhL0qp0UXVeUZw7h3es6Pqi8jrHqclLLNJR9PJzy1ztSuWk6WfP/zssHbyNfE4CqaLAoRlR00Gk4fl7eBD67HcPYV7BpfbHUWS+oBSyKguLIqte0zcOmE9slrn57bRaY/TjoDLW/W6od9s7Ct2Q/tzgXMM33CcZ1UtyruIGlyxbTvuoIGUeTKfv+HvAKQfv1eGzoCCg7gKlOXUKp/SfE2Tuvq4BdLhdTp07Fy8urScfb7TJ/Q7SMesV4jw9HkbLM/e/qodkmspSXUjb9JnzjJ2LKOwAGLwjtWXvAgfmw7SsI6QkGT/dcp8aGyaB2eHfDx+5ArjzXfd/xL8fGLN6djkf6WpY4hzG210gW7cpmbNdg904g4YE1q4dR7ZC0iIiSbegooUfpSire60lFl1E4t8/E+64f0W2bSm7wQI6lpZNQsYLLdm/FFtYHw6/3wz1zwGYh5Zf/I78ilM3tAxme/Ql4h8KGj/E4thoVdxCTedtCPHzbk/nlzbRzFaC7f0GT+7NRlSVEqHXn4FXvTdH4nDkboK9z5KkUavVMCX6L3lmzMb43kV7UBmIuQIeTCtVB3bWoT6Q9CdzT6Pm2rZ1H70V3kKBrzwrLD1w9JL7e4353fw8f96j5dwXgyZnTA+PTPmJ/wEg2WWMI2PkzilpJEZ5UOMCCAXP3ifzRsJVpiTfzqPYndLZiXGjQpS6inepE1egIdRVQqQvEw56DQ2uCmQ/BvfMgeSmasmM4XQ4UqPnZVihGcgmkL5n12hNgSWr4u7PuQ/d7fvs3MOm/7vtSV8H2b+hgOUC5h4kpYUvQj3Vn/ywlBcS79pOiCcVmao/37a/Byldx3r0Qw8/3Ua7440U64M4CWvfOx9T1SgkEhTgL5zUA7NixI59//nmTjw8NDUWvl19c0QooetDq6pVbaarD896lyLM/vZe/i/Oh5ZjLUmuycBabg7wNvxDmqkB/ZBX0uqU2m9eY6sUeCY+6j9Pq3Ped4jnjzUls8g5gpPkgC3e78EhfyzJ1CHF1dwJR7bB2ChSnYVQtOIEwNZcDRNDh0FK29XyZDr//iwKPSCqOLmO4LgeTMxUNWpw5++Cqf2D98V72ZxThp1cZbN1Clc8oiO7rXliQ8ChFQf3x/+V6sl1eBP4wDhdG/LBQfMtcfEKjzujHUS0/+xhFn15BlJpNEeAPpCrtiXn1gDvQWnIHWmfD5xmAPMVEgGo9bVYtwGnnmazJ9D0+HlL3eHftQx3z+0/HuWcmd1i+BcCoOCmefjt+t0+tH8wXHqXvojsACHZkMX7nYzBkXc3DlspK9mxbTd0NCz0Bq0JNZutM7A+eQJC2iNH5P7CfQHqZfHBabeyNfgifee/S3VxKsM6Dvw71x6Y+QNrBbXTIW00KYcRyDACbRqHY4cBXdaGhBGvc9ZgAokZQPvM5FNWK0eVAizuwrsLIMV00ndXaALDKCVHb3iIn8TP8/Pwx3jfX3S9HVoNvR+g+sTZIixwMR9ajM5jx0+rg6n/WnCf7p8exGf2I0ZQR9sf3MPt6u8sh2RwsHvoDN87rV7NKOlXXFeu+ncQC248W0S9UD/vnszHfwGBzBoZbv6md4nAWmn0XEyFa2Hl9Vx85cuR8nk6IC6s6+DrDeUWdr3kO/49GkhIyjg4z/oj5j/NqvuwW7c2mpPNzjDr8LpGDr3dnB091/hNq2jUoB9MIU+xoRujcx4xPWs4m7wCGm/ZxtEgLA0a7z1k9j1C1ocTfhW3HN0xTR3GHspbcy1+jQ9ERunjb8D0yi2KrndLQAQRWpGCza/E2amDT/ygsKqO9WoVd54l3QDRRPXq59zI+vv2cOSqB1QxkiHMrKE4U1T0P0vena+HVMyv9ArBzyxJ6zrkRf9yBmD9wwNSLkHu/oWT378zK7UBZlycZljyl0ecHq9YmX6uvtjbDVa0UHSW6DnhSzjWulezvM5jsA3sJLd0BKngfmk/eT48TfNc0vnr1Hu5UZzU8cdYeHK/4snPkl/S/4gZ2/v4p8bvfa3CY4SyCP4DQqkPotFoKbMWMVHeSoZhxdbuVkOQ52G99BzJ+c6cxhzyBQdET0X4xP20dy50pz1fvCkeeNow4VzHg/kIo3PoDpoQHQNGzw+Nyelrm4n28Lw0Aqh1v9Rj5aAjCRSVg0kIBZrzUYuzFZajTrkJTmk5JzCRCyzLd75Nqaeuh63iwDq7/R43Ngtal4umyUNDrbnr7etc8tGhvNhXrv0DVguKEUiWIwv5/oG/nELYfLUJTcAjLgYVUWSq4zJ5HXkUoHX65GzoOAZcKHfq523AGmcIm1dsU4iLWrKuAhbionGxF7mmYvXzw+9MSOtiOYO1+C4VvxJB+eD/gnmvoFxCE502fsi7DjqXjGe5ZerI2qXas+xcxa9thLKqm5pjysMGkpGewfH8WBw8fpnTP77XBn70SRjwH3a/m2Pjp9DdkMrvrOxTgQ7fJL2PwDCIoehBqxyHoFRdz+n2Jy+SNEhwH+UkEGx2UGUMJ9vGgyK8b6Ez12rVj1Sxo34dcxbNeWZMzLTS6c/9uMv8WQc85N9bcpwX+6/FHOj+7kiDLIb7fWUxgzvoGwd8mpdcZXq1W3WFfgGyXD+0cmThdGtIO7SWhSyCFgf2oqPOcgKQZOF7xbTz4O04D9F15H+orvgxMfBULDfvkbD+IQ0v34le8mz5qOk4ndFAttNs/nR6OfeT98DTEjIWOg7DYHOz95TVmFHZmX4mx5pqHdHEEDryRCo0JFHeg7TP0oZrzx016Hh1QprgHwFXAn0q6kYq/4qJUa6BA6cBO31F85/NHMpVQrB4dqCjNI93hj2/SLO6teJz0EvfeyttWzkD9bjLL5v+EJXxI7QtR7TDvaUJ7jsAzMJz+V95R73X2aOfBrYX/o1xjRFUU/F/czeXX3I+px9X0HTkZAqMxj3wS/8592RZwNcHBoRA+AHL2wOFVkLz4jOf3Vs8TvrJHyJn+WIS4KDRbIei2QApBtx6tok9UO4Wvd6FSBY1i4OM+M3lqbAxBXibWLfyB4tIyhh18C91DyzGfwZBo9VBUVJAnL/60mendNuPdsTdf7qwgwsOBI+qKmgzF87/uZG1yPgNsmxnQwUw7Wxpjr7m1XqFpS3kph+e9S8gVj5O0bQV9R0ysLbdxPONoCR/C4gOFXBllwvy/Qdg8w9Dk78cVfw/JJRrC0+eR1P1JBlx7f+1ilMpK9r8zgL5qOg7c2SRVgSPXzyG2z+mzqjsP7sf8w2Qi1Yz6w7YKKC9m1Q61qnZK9i3ho1/X8YL6n5rDdilmusVcQXraYbAVEkUmqNS25SwKQZdhIEmJosfAcdgjEij+9TEi1PwmPfdsFQA+HK/9d4bPtQEOdBhxUK744N3tCvTX/Zu9s/9JAb6QkciQ0nlUuBTMWhXrn1M4llOAcflLhOSuocQ3jvZPLHf/TMvzKft4OAV2I36OLIoJwM+Zi7fLDgpUYUCPSqkuCNd9izAHR9QUKE9O3k37XybyAG9QrAvgEcd3XM/vGFVwqKBTYGm7O+k+6Tn2z/2AYE8dXQddice+3+Ca9xvMkX373x8QVLSFO1hM/m0LiIgb0ITOsMCaD84oA9gqPkdamUu1T6QQdDNuBSdEm6PoWUYvbmAt3zsTyC21MmVJMm9c15X+ET5Yf32BY85AwqdfA3/dV/+5JymVgWpn68Lv0B3ezkNFV3Afc1mdaCG2sAxnZWdW6y6jn0PFYnNgNujoEebLwexyXD4j0epT6TPhetj4Fkx4p+aUu1bMICx7C/mL/sXg296sf73jGUczuINK1Q7j3kAz63EyPbrQPvFbuvpHUKwz0X3fu9g8sjB0upz8gHh2zHiX0Wr68YUTkK60w3PEMwQvfQZL2G+YgyNqr2OzkPXdg7RLmw9AImb6qhaqB22duDNUTgVKbplLUN2AQNGzoSykXvAHEIYW7YG5+Cn+lOBJvjaUfI0XXq5idKoVD6BMY6ZcMWJw6TCp1tMuEHG4bMSrB9BuOIBpw7/xPslxZYA3sDTiAcY9/H69xxbN+YUxWx48zZVqBQKHCaAzhac9tlo5OhRFy8+9p3PDrgeoRKHCHIbm8HYOv38D3eyJGH3607lsC6oGPDUqWX2fo72nN1BAyGWTYNlO/Ic+XPt++PV+TIERhGTtpSiwDwXBA4nY+yEO3MGpHgca7zACvdtB0k/Q4a8175k+hgIszx9k0tYsNGve43qW1OwcolPgiOJHx6JNOKZPxF/1JE49wJHDy/D188OvvBRzQO3Pe9uKOTyT/yrfKlewus97jGtK8AfuILLOjiRCiPpkCFiI82iCZgelGiOTtDsZSiJPju7kLmTsE8zvoQ8RQj7/6eie9G7JTqXs3R5YslPrF3euWyg6ZRnRR39GU5HPcz7LSNF2ZnQXX4p8u5PsczmqVs+GQwXM3emekH9j/3DuHdyJN2/sR3zvvgRufNs9FLb5s5oixn3LV+Jjz6OL/cCph8WqF46U5eJMeIIwaypEj0JBi4daSpkuiMLkTVBwiKPfPQYV+exVOqEBSrWgoCFg+XNUVlZR9c2N9V5XxYK/0y51PtXF7/oeny9oAoqVANJDr6DqmVT0r5YQ1K3+/rubvn6RsQtG17sv0Qn+x8u0eKoloNWzSbkMDy3Y0OOJgyLMaDQKNjzIJYhdHgM4XR0Cf83pPyRdUBMYpjuCGzw+7rqb2HP3VvbR7jRnqtXk4E9xb9vmpThIDr6KiYde4Uj0fSiDn8JLq5Kr8aN31VacqotORZtAdaIcb3N42XY4vAYAY/paXO3jyVr4L9Kzj5fSmfwFep0ej6vfRR8RT++9H9YE91VoocNAdEZPd43Juqvej7+XzcfW8cCwKMbe8zJ5qke9Npf69MMYHIVfv8n0Yj8qGrqoqdiLMzF+GId12b/Y/fUzJH79LL2X302VqnCnuoxh4+sXAz8r1e/DypKT1+wUog2QAFCIE9UNwJrIUlJA2tS7KLrxJww6Pc7R/8c9o/sQlLvJndWzFDIx0smvXd7g0V7uvJP69bWUaX1Qv762fnHn1FVUKmZW/DwFyw93owuJo0cQuBL+xOvPPo1//8lcNvYWRsa1o0+ELxpA67BgW/4OS3ckMd60Bw+nBQ7Mg9IM7IfXMNcwjsyvH2RbhoUURzsM3kGUpSWSrjvJ5Pbq4C9iINgtGCMHoP/zTgz2Crh7Ftpr3qcofBR+wx6EwC50GXYTPkolRqMvheM+Ir3z/bRz5aACIfY0UmMexvZ6O6Z+Nw31tSBcO6Y1WvQ4H2j36mGiHv0Ns29gwwNsFi5L/rjeXZ8YHqBkwAfsVjoBUIg3HxvuY3ikngzfPrjQUoonRfjgcGlYqYzgRvUN1gdMZK/faFxnOKplBUqPpw7LqF9m5r6styl9xZedu7fU9mPyUhLXL+PnkL/ypPZJzqxcfq1G340qeGidpAePJCR/E8aKo8SmTIWcXawd8gUd/T04rO2EqW65Z9WdYeXoRvA+/vMf/zY5aUmkqT5s+PoV931eQe5yMN7tOJS4Bk31a1XcNRj1GdugLAtM/vUXeZxQqHzhwlnMVa4ikY6g06Hct4z4p2cS9fB3+EcPIH/om1QpHqzzGE042QDo1/wf5ow16FOXckTxx6ioTIt5v/7OII05VSH2atV/bP3+TMOanUK0Ic0aAK5Zs4Y777yThIQEMjIyAPjmm29Yu3Ztc15WiHPTyFZrp5P302Poy47iXPdfPP+Wge+Qe8FaSrquA6lvDWTpzmS0XUbwcMdsfLuPBUC5ey7ezlKUu+fWP1nUCJas2cTQfW9SiAdee7+n8wNfcVNCVyyqhpf2hGBRNUyK78CN/SMYGdeOiZWz2VOip+uON9mU6YCFf4WyHCjLoTA3g7Ckb9lJNJeXLGR/9IOU5KaRTCcc393e8MVUB38dB0H6Zhj+F4gbz7a5U1BTVrFtzr8wmTzpdsvrmPpMhrjx+Pa9nkBHHqUab45tnUvvez/ApjGgAHYN9N38NHaHk/vU38EFHqo7/LMpYFdqQ6jA0wRjFcv/We/fO7Sd6eCrwd+aCR1Hk6R0ZqYyjpHGg6zIUIhSD5NITxxoCCcXp8uJpyOLCocW/5J99PHII8cY26SFKhZAefEolsseJ9XVCQs6Gqvm6An0/HkM/3v1j9hnPETVqg/onj0fZ2kuNxgSOdvZRmWKEUsjH9lq5HBCy/YT7MjCQ7XjxEbR4Z3E7XyHxMAJ+FHCWqUficfzlC7cC14cWh22aWMp2jaDSpuDg/7DcKLH23TCzKCoEfiqxRxz+eAA0JlR9N7ub48qC2z6FP6bACXHC0PXWbiUtGU+9x99AW9y2NHpEZS/F0DkZbXHxY0nfMwfCXo1nVF+2fUuW2wMwwcLZQSwWelLfmEFP2452mhx7RobPgbPYPftyYQPgC1fuHe2Ua31s5cncarC3kJcrJotAPz1118ZN24cHh4e7Nixg6oqd+X8kpIS3nrrrea6rBDnrpGt1k7FcmgT4ZkLUEqOEdShi/s+VcPM8q7Yv72dAlXP8H2vsHHuVBbuOsq365Pdc/ZCo/B+bq97QUjdoFPRE3P4C5KcIYSoJRy7/mfSvrwfS0kBHyxJJrfUyoeL98PBhZgPL2VS73YYhj5OT28rheFXMCgUiJsAvh1A0eMz5jlsQT0YH2Uke9hbXN0/mtybZhBGFqWTv27wevJ2zOebrVkU718JQ5/EUlnJ3h9fpu/BT1FV6Jv0Obu3r8G2/G1SZ7+O/VVftr01BlP/O/DR2YkadhMA1uFvYFUMaDle504LVQqghSpFR64SRHHcnZgiB7MP90rLvWrYKft618Yf6/3bV1HopB6lW694ut38KoX9/0L3+KFYHRo6ujIoLS/ncrYSocnHTCVeWOjlPMQE43bygwax29mRUEvSaecCgjvrpb7VkYqtH9GbI5hxnLLG4IPq92j3zIS0tYSX7yS8cj+HPbo24UqNC1CrMNcUb6mlT1mCviKn5sPcQwVfZx5FxaUEJf1Knl9frBjwMHdhR9SDaBQNasy1OO1VZLpCMJZnov5vJJf16kVnpYCeE5+sOXfS4VR2vN6HWOUYpRovdg94D+We2XDd+9C+D+BERYu9IJXCz69zB0g2C7Zlb7Fm9lS6zL+dKg3cqa5g+MhT1NZU7eAfjYp7E4HMsR/T7Y/fkxb/LN7totnkOx5fE2xOyWHx3pxGT2HJTqVsw5fYsg/AwIdPnsXf/Bl0vBwKj0C3a2uylxabgzk7M7CrDfu4bkkYIS4VzRYAvvHGG3z66ad8/vnn9Yo9DxkyhO3btzfXZYU4d2dYDsbwzXicuAgin93EArVfGGsHfkpfkinFj4SS3ykryKb3svvJfac/+RmHa09yQtCpDPkzHnoXh4e/h3HLVAoVf/J+eZKnxsbQ3lvH817zYf88yE9yB40GM4bIgVzepycmgxG6jHEPzd0zBw+dhoTxt+M59kWuGxCD2aBj66YN/M/jEYJm3eMeBqvjyzWH8CxP4/ODnqDoOTzvXfIcZhKVDigKbFV60u7gj+Ss+5rI7e/hUqGvLRHrtu+Iu/ZpfPteD6qd4A6ReHYaRLk2EC16inXtMI9/H8UzGPOjmwkf9QjtYwZA1CjaU4YT6EDxKft6YJ3iw8UouJw24h6ahqnH1Zi9fBh+7V1cMfEernjgdYq949D6d8KXSmxaBb3GPYhZoQ/gHs1i7r0sgG458xtcw3XC7YkiaPjBmY0HaUpHspWGcwB1QDtKeJjZ3FL06Slf3/liVm3EV6wmyrKLyuJNBHWIxUQVfo48lDtmYLjjWxxPJ2H2DUSvUTEZTfiveo726mHCvuxP/pafAaj86mZ6uzJQgR5KJpddfa/7fdp9Ijy0DJ7YiU3vTSGBzPG8gW0LplP00QgOH06h3c5PcalgVEFVNGh/vLfRtqbvXYP99XaUVZZi6Dke5cUsIobcidnDg6ETHyTmTz/xx/H96Bnmz8uZj3JlZONht/r1tZRrfXDs+oX1K+dSqZgbz+InPAoVee4deer8nlf/zqbmlLq3UKwTPI7rEYohayNXz+7Bzk3nuKuNEK1EswWABw8eZPjw4Q3u9/X1pbi4uLkuK0TzKMmi4NXOqK/4suir1+o9VIxvzS9S7979gdoaYjeO6o/+0a34mxVmhvyJ3h65tCcbg2pB//kQ8vOOZxROCDpjR9xO1KiHCO9/DWXGEPwqs2jfMZogg5P/61WAp8kMpRlQWQwOqzsYdFjBUugOIo9uAP9IOLa15rx1h7EMMaO4v+prjIoGfrm73uvpHRlApi6C3pGBoNpp17Eb4SlT6KtmkK14Es1hguzZBKm5pGr8ULSQp5jxHvGoe+cSRV8TlNo9gigO7EOGuTuuBxZDVSHc8jUUH679Ik54FJfigQvwUSqx5KW7s0jL32H2lqSaYTdLef3Zc4nKALjvd8xeDQdVgwICuOLRf7Olz2ss1Y3BjoHFznhKNd5EOZLp7dhH0sy/N/gArN5lwg440HK6dcIORcPvnhPJCBpNvmrCoFGxKB6crAS16RTnOuONMU+RftTUebivaqHv0a+xlu8n1FNT80eG2cuHdg/PRB/eH11lPi5Af3xRjv/8h1jz4X30JBk07nNVXftZwz+OAjrieno/Bwa8RlREB6LSf6XAGEZwUSLRzmRsxxuiAh0dhxrNyIX8MhEVJx5HV0JgTKPbJJpiRzPy2CcEGLWYf7ih0fMod8/FV81jS/cXKbM62JF01P1aj88LtJQUsP73b7Emr4ChT9a7Tn5JGYU7f8eoVemiz6/Jxlf/zgDcuu+PaFQX3RfcepofjBAXh2YLAENDQ0lJSWlw/9q1a4mKOrttoYRoMd/fhJ/qXpk5JuX92sANyAq+HIAqwPjDRKB2r2GzQQfBXZgzdhWWnvdycPRUzP1uw5Ny1umGUPTJOPILG1nxefB3bHvnsuOTB8h2BWJ2lmIIiIQNH2MJH8LejDyqOg0HxQDFae5Ct4WpkL3b/fzOw8BR5b4FsFk4/NurFBeXsHhvDpMHdMYaORKTWoottG/tdVU7I+Pa0b/fAPoPGkHRv4dyZMNvdFbdUzhC1Qr8jq+2NQBhajGFSjsMWjOWxN9qh82jRsCO79mt60mRVwy5vf9EUPlBKtv1JWvmSxxe5l6VzIhnwWBG88BCULTkEUjl9Emw5gPyD24gfM8nJC6fATYLB9+rs9AA8PfzJTYyglMJL91BiTGE6epV9NYcwddVgnI8tddPTaXw+A6/1TO7rMd3BLEoBsrRYcJ1ysBMp7oYYZ3PpkIdncjE5CijUtVQfspQr3FnuilmGYZTBoEnitPComMmd79XM3hA1HC46l0wBNTer8Kgwt9q/614Ye7f+Apcs4cHI66+neETbiNw2EM4FTNzrfGs8L0FoxbWh9yBBh3HAofA6n/VD95sFmzhw1DQYI0Y6c7K1VHzR4uqgeixqNZiDiqRTPvmS/LL64fZ5tAozM8dYFBcONaOI+k7+kZ3oHp8XmDmtw8Tvfll9mxaUT8zqNrZ8f3f8CpOwnloBbrAzjXZ+E+WHmD+b1/z6dIDWFQdGsCi6mqed6aLxYRoTZotAHzooYf485//zKZNm9BoNGRmZvLdd9/xzDPP8Mc//rG5LitE87jle2zHFytkKHo8Pu7Fzi8ex1JeSlz+ClTACCSFTGj06dUZwTF9OuN53T+wP5pIrGMv7Zx57P3uhQbHOzZPoyA3nf72DYQemc2GuL9i2zWDuYZxzN2VwTFTHNsr2rm/MAO6QMyV7kxH5OCaeYQERtVmajZ8TJdOnRiU8wNDYwJZtDebHNUXY1UeG3PrhB6pq3B5+OPUaLH/9jB5pk7E2fZReTzQcCnu2nzgXklqAmx2KyZ7Abbs5NosnaKHa96np3clwbZ04ttpYe7TOH+5D//C7URkLCJj6vHdHlQ7QdajrNcNJVTNx16Rg62yjCBvIwG2LCo0HmT8+BS91draieXA/viXTzspf+DoG4ju2ocb/I9QqPhj03rWrD6uAnyVKqoULTqNOwj00ECJYkLr0gI6CjGiBzIU70ZXLQN4qg4ecs7BhAUDdlxoCMRKVZ0x5KJTtvLseKo2Ttqok4goXY/xnQi2zZ1WE7xkH96FOvtPpMfeRLHGWHOsFmrK9GArp3jms6deXavoMfW5gbe0fwCtlgwLVD2TTv97/8Xh2Idp72vEvvp9rBu+hOSl5GccpuDdeLS+7dH3uhmve2c0yP4t3p2OR9oKlu48DBEDONj+On6z9GNOSQwfLt5P6roZPPX62+xMy61tQ7dxTOzfqXb/3uOZZqUgmXx8iEr/BYtfHGmf34Zt8auQtIiEuA501mRzbZ/2oFUg2r2FYsrmeRSpHiRvns8yZTQq4EIhKXnvWS0WE6I1abadQFwuF2+99Rb/+Mc/sFjcHxpGo5FnnnmG119/vTkuecHJTiCtR7P2ic0C856mMvoqipZ9gG/JHsrxwEwVSaZ4Oll34IeVAq9ueD00v/HyJY1wvN+D0tIyvCjn12ELmTisn/tLS7WT8p9JdC5aS5mqoFHMuIze7DcPwOAXSnlQXzQGT/qzl6V+NzLO6zCm2NFYbA52rJpF/NCrMWZsIlkNIyauq7s/bBZ3uYvQnsyy9CCvqJx71g7Dih4DLo559sLv9i8IKj/IqqQ8ZpTGYnBUcM+x1/C/cxrZOxYSu+9DNLYKHLhwUEFgneDDijsAPmToRuQNr2DqeqU7CFz1T6xOLfpVb2DTemBwVoDqHmpVcQ9V5gX0Q1OSQTA5uNTapFZu3C1siXkS7bGtXJn4eL1k1/xrNpBnMxHoZWzaPq2VJVjn/oUtmt4Yd39Db1cKDjR4BHSgyK7HWHYYM06sgKJo+YXx9CaFGDWVXJcZs06LxuBFQOWxRk9fPXQMUAo1K33TMdAOJ0U4CG3SuwIqgdMUO2lU9Y4njdLCfEdfrtYm1rRVVSB7wP9Rnr6DzplzMWgd2AzBGCrzcCnHX88JAaZDgYyBbxA17pHG58jaLFR+fRM/lPTihh7e+I0/XohZtWN7MxyHS4sOJ4tCHqBHznx0Wic+rnL8bvqoZk/puqz7F7Ep00GCZg+GmFFYy4v4pTiOvZklvBCZxLF5b7FYvYwjxlj+/fKzp+yf9LQU9F9djWb8W7D5M1SbFZ1qRakqxtTnBjyjh6B2GUNy6pGaz5HNKVl8+e3X3Hfn3cQe+BT9po/RKna0KKiPbMVcltqwePsl5lL9vpGdQJoxA6jRaHjppZcoLCxkz549bNy4kby8vLMK/j755BN69+6Nj48PPj4+JCQksGBB7URcq9XKo48+SmBgIF5eXkyePJmcnKav1nrkkUfQaDRMmTLljNsm2oANH0P4ADxSfifsicVUPrAOk1ZLhimWKOtO9KoKKvhVZWM+tqbJp9XduwBvytlDLP3XPuQu5myzYP/1DwQVbSfX4YEJF7n4UBg8kP76w9iCejBg9PUMV/ZwLHU/fkufYcWhMkhdxaIDBRzwHETi2t/B5IOj4DBzdma4s2QGM4RfBl7tGG9OImzrO9hUFx7YSVc6k+vyo+rLSRT+/n+47OVklDjYkgMver/B/7ZX0isuhl39/4EhdgzlIZeTo+le77WYcGcEQ9TDJO1NrM2KJDyKfcsXJCp90TsrKNW1w6JocWqP7/Th0hBauJ1gcqhAWy/IC0r5iTHxsSzJ96t3/0ea0cTHRJ7ZPq0evugn/4/gXleyne4U4YERlRSfAXhN+Dv7vYeTrgRgUOAQUQRRRJR6hAxtIP46O7t8RqPR6But4eekfi3Aul8lEdgwnkHwB2cX/BUBe+h80sfLQgdxpWc6dmrbqqgQuPUfZEdMQFGg3DsOj+BO7rqIKu7KgSd832tV6LjpZdRXg1g9/YUGQ6DF81+h6thObvPYhN/op2qfqOhxjn0TnRbW+4wnLOtzIh1HUNSj6PvfUbsS93g9TUtJAeCe+zeioxHD0MfBWoopdjR3JXTi7cl9cO2ZQTiZDFcSuf+ue07bRxGR0YS+tIcQX098Bz+AwysUrbWIHE0QRbsWwKw/wa6fwVkb9Q6Mbs8nrz7PwOj2+F35PHqjFwYn6FQVy6dDzmrvcCFai2YvBG0wGOjevTsDBw7Ey8vrrM4RHh7O22+/zbZt29i6dSujR49m4sSJ7N27F4CnnnqKuXPn8ssvv7Bq1SoyMzO54YYbmnTumTNnsnHjRsLCTl1+QrRhCY9CZaF7j1JFT1BELL4vJdPp2r8y3fQAHtixA4q1iLxf7qn58jqp6rlDvu0peWgbfkoVq1zh3DinF/lvdabk6B4cig8eGljh6kOOqSuKsxLnsGfoM/pmluxJx3FkHYa8/bSrOoxu23Ty/XoxWreL9NwCerQ3g6WQFHtgTemK/HIrr+wOpKQ4H1PsaAZXLEaLQrlqwP+hmbTTFKP19KMCD7qm/8a13fx4mF/x01Tw58g0TF2GMaxiCXQejEvvgRLchWR8a18S7ljBiI32oWG1k+/XfYh+1PPE6nPYHf043h26or9+Kscib+RI9C0oGheVihGtCt44yVOCas7pUqFi3ov837G76nXf0qCn+d+q1No5lmeo3+2v4U0FWiDwyCzKO4+j55++wY4XO10xqBo9w9WtOHHR0ZmDHR29ytdTZnOiayTHVp3NvFCs3uENVij7A9053NjhqFrwu+t7TA8tQa8o9dr6k/4WiowRKDd/i++Vz4F/JNkub3etQNWFFbCY23Po9uVUKEZQQHO8SsqQQ/8l+bu/ULJjVs35qnb+gLdaRnHuQSwY6rXDNPAeDLd+Q88bX6Kv04YTCFXBM3ro8YbaKfvmdgq1vuT98qR7/t+uHCyRI91/wNQJtrYeOITr0GoqMeCLlT6RTdtlxVJeSs6SD3B5+NNx1EPw0HIMej3tyQedJyx9DVvqWpZ8+gzfrtlXf4qBwYzjnvk1y8P9VdlBpLlJ/cXmdV4DwBtuuKHJ/52Ja6+9lquuuoqYmBhiY2N588038fLyYuPGjZSUlDBt2jTef/99Ro8eTf/+/fnyyy9Zv349GzduPOV5MzIyePzxx/nuu+/qlaoRoh6DuWaxQg1Fj6nrldx/9WBe6/RlzQT+ABWMH0SR8v7YkweCdeYOmYMjWBf1J+5X3cXR/VUr/uUHMaglZJhiCdeVEWQ/Rr6xM4tsfdixahbh+6aRpokgWFOEDR12xciOGe+SmOvkqtKfWbdhPZaj21GdLrxMOq7sEcIHS5LJLnPwz5QILCUF2BQzOlS2eI4kKDSc6GdX4HvPTxj0Onzu+obwA19QiC8Pln9KVspOOLwarnmfw4dTqaqy4V+VQYympLY7cAdBuQRgX/shpCyDuU9CRR6mrG14T3yX+AhfdHf8xPbMSnL1HXAYgtC/mo8R9wITVAh25pM49BPsKGQoAbh2/I+6fzbuckGEN/xhRNRZfzH0j4nAA3fmzh+VgvcGUFCQy9QuU3BojGT79KYsajx6XOxTOlOKBy67hSK7BrWRj0w77u3mUptY4rmxJQNnsoygxGKhQN++wf2GRo4FKPHsCVumQkBHPvV5siarpwLt7QfwtGSAOQBMfnDdR2g1ZTWv0qSCcuevxHbrj8+rueifOVTv3FHqEZTZj5C6ZCrph3YTpFbgBNqpFbw7dwfW/YtqM4SKHqJG4Pnrbai4v3wyFZi3bCnJ7w5HfT2IQv/ehFmSCb5pCnN3pJG9bR7zdqTVu2Z+uZWj3/2ZmWoCRtWB864Z9V/wyRZnHA8ws0xdKF32HkSNcL/3n1uJ8sBScFRAzxvJK8inqiwfZcN/2LDwJ175bUfNgpO8RW+TqLgXMW4MvfkkPS7OF6m/2LzOawDo6+tb85+Pjw/Lli1j69atNY9v27aNZcuW4evre4qznJqqqvz4449UVFSQkJDAtm3bsNvtjBlTW2S0a9eudOzYkQ0bNpz0PE6nk7vuuotnn32WHj16nHV7RBuWugpfvyDeGO7DBqX2C1kFOpduxvheFD9++Jf6qy6hXs2/L5bt5fYDz9SW91XAit5ds81ZiIfZTGjvK0gOv5Fuy+4jOsQHe2APIjpGorvqLVxRY8gNG0X8LS8xKExPkqYTHclmzeEy/At2YNI6MRt0PDU2hhAfE0+OjaHoy5vxV93Bo3fF0ZpmmQNCCXlsERbFk6O6CC5XDqKJm0BUoIkdm1fwwpz9tA/wobz9IALsWah10lAOYLsShxkV317joeAQVYGxpGVlY+082j3EN+JZLBhID0igKqArkZNeAUXPvgl1iju7IGbzixy9dwNVeHHibMreGngp9XaUr66mNP/kRYFP56e4t9ACBRgJV7NQv7qeF/tWkRj9KINGTCDIkYNq8kMTdjnZahDfqqPJ1QXija3R81UoJhRX0zZ5O/FPzUKMlCmeHCao0eNPFKIWEmTPatKxAD6WfVSmb4d/deeOzsU1o7oK0E/dT4eI2lWvrH6PkBPSmbqk2axb+IP7fewVRGKfZ2vqzLgPdeK3+iXaT3dn8rTAIsNYrir9mZQdq+C/Q2HaeCjP59ja79AUHKJK0VOp6Fke9hLtCrcRZdmHU4XY5M+oCB+M4YMooje+hE1rIix7Jfz2iHvvXuCjH35lPOvprRwi9bYVxHaJq9/gky3OSF2Fz5i/0N56CO+7vq8/dFt2DO6cAV1GEtixBybvIEJjB5BU5GDAkans/Pp5rNu+Q3VYCQiNoeqZVIY8+nmTfwbi7FQvnmvyVA9xRs58/OQUvvzyy5r/f/7557n55pv59NNPayaOqqrKn/70p7OacLl7924SEhKwWq14eXkxc+ZMunfvTmJiIgaDAT8/v3rHh4SEkJ2d3fjJgHfeeQedTscTTzxx0mNOVFVVVbOjCbgnkYL7danqhRsEUlUVp9N5Qa/Z2rVIn0QOhcNrqAwfTN51i6mMC6Ri6Uf4J/4TVQWbC27In866aZUMH3u9uySLoge0EDUKAGXzR2xxdaGfNo0SXQAVpiCCKlMp0gQRaFbQh3bA5ulDyNZ3SFQ70Wfp+wy45hnocjOKoqdX7xvpVd0e3zFM6jiUXSv9GKKkscERzhWmg6hqJP4eel4b3xnL0jcwlx/AopgwOJ04J/2vfp+pdrZ//xpmq4YDmi7cGNuB1D2bmJHfGYNzDf/uNJaXA1ezo9JIb42uZjixRPFlR8jtrKqCW3tPJHfxS5QZO7CtywsEVJm5JmUldB7Goj25lFe5KGo/DKPBgKqq9IwfxfKF/Rmh7sQKFN38G106RbMo5Aqisr6p1+UuoB0WykoPceXBl/EeOqvJP/O675FbbnuEYzk3ovt8GA5KCHNlUr7rJ+7uOZEtacXEZR3F5XIRnLUErQ52ujoRpS2mUOOB7wmZJT3g76zEX6s746FgFcgJuwa7RwCRWQs5WGUk+gzew3UXnzSmSoFMoog8vALV6IN3yjyqOgxFl7kRpwpeOg0FO79DnfwyoKUkYz9mja5eZmBjeTuKtCZ2rJzN5VfeRN/rX4DrX6AgJ4Oi6bfhaz2GB1U463ydjLz+XhKPFBCb8iGqtZDKwkwM78bRDkCjoHW6SL9lETft+R+/aq7GWOpDt/K1HO52Lx13fojTqaNXwRJsxmDibVWoPmGw4AUq+9zPS5lPUKFR6KFkYbXsYtuUV4m47QMCg44PAx//vaTzMKjbl5FDMRxeQ9DDs0HR13/fHH+O2mkEBtcRRg25CgUnl638gH3FJfT0cmBZ/BY+NguFQQMwevm1mc/flvy+MSoaru0dWtOO86mt/PxOpdlWAQcHB7N27Vri4ur/dXbw4EEGDx5MQcFp5kmdwGazcfToUUpKSpgxYwZTp05l1apVJCYmct9999ULzAAGDhzIqFGjeOeddxqca9u2bVx99dVs3769Zu5fp06dePLJJ3nyySdP2oZXX32V1157rcH9W7ZsOev5jWfD6XRSWFhIQEAAWm2zT+O8KLRknxzIKqXSpuJhUOja3v3Hzb4D++iaNQeXCzQaULuMQe8ZAIFR2FUnh3LLCfZwoe74FtWlkKUJpq+/jQKLih4n3rZsSj074a1zkFelY6chnujybejaxdKpfYi7xl/gCfU0nSoUpWH3ieBQXhkB9nyCwqPQKjrspfloE7/C6jJid2nxogxr9DV4eXjUP09BKlanltTkfSi+7cG/MxH+Ro7tXsUeountY8HpchKdvfC0/VJo6khlcG/a+5rQGTzAUYXdJ4LstIOEhkehz06E0F5wcB7WkP5U7PsN/6bsyXacdsgTZOdlEZw8g51E0dd1iF2mfvRNuLLhwaode9pmUomgc0QYBv3xYMVmwbn+Q3cgdfyTMFfjjYIGk6sKD42dSo0ZDS6OuXyJdWU2PHcTFLWLxz93R6OPqcCWdpMJ9PUjJnnaWZ2/MWVaX/R9bsSx61dMrkp02NF6BEJQNKCBzB04NQoFpki8ypPRuGwYXFCJBo86swyPeXRDE9SF0Mi4RqfKlJRXYN36HQGuQhRgl6YHfYdfBYWHwVGFM3MblDTsN21oTzB4ga28dgWwU6Vy9QcYXe6h/WKNBwFD/gApSyF6DOr6j3C4NOhxUB4+ior8o5Q7DYQ6s/FOuL/xBRnHfy/wj3SXeDmFBp8jThUKDlGalYRXwR4qNEbsej8ChtzX5J/Dxe5S/b4pLy9nwIABbXoVcLMFgP7+/kyfPp2JEyfWu3/27Nnce++9FBWdW2WsMWPG0KVLF2655RauuOIKioqK6mUBIyMjefLJJ3nqqacaPHfKlCk8/fTT9d7Mqqqi1WqJiIjgyJEjjV6zsQxgREQEhYWFF7wMTEpKCtHR0ZfUsvxz0ZJ9UmlzsHR/LmO6tcOjzqKEHfOn03vrc9gVd5Zo3+Ql9OrWhzk7M8gtKuPytXfTTT1CJr5UjnqD2Muvw7ZmCtYN0yjDvYdupndvDhm646spp2zA41zdIxiPY+vrZBPrSFkOJh827EvloLk/QfZcJiibUC7/AxXv98XqsGHGRqoulpARDxIUGAxdRtU/j2qvyWouPVjImG7tSFz5G5uzHIQWbKbC4uAe9ecm903qA7uJaR9Qm5E5vAb0HjhWvE2uVUu74n1oHEXnZRWFqoKigPL33Hr3V9ocHJn9BuWKHxVOE2XR13Bt3/Cax49tm0P7BQ/Wa0OB4ocRK3s8hnB51Rp2OKOJr1OH8Hxx4Z6LeIgIOr2wCcM/zm0x2omlYMp8oqisKMOPchScGDoNhrA+7r1wOw9D/XgwBz36Ep01H8VVO5+yTFHwrs6QKKC8XKdPj79Hqt+Dq2Z9TszeD8EnnLCxj0PXq2rei1XlRbyVFEavI19yfVHtvtMOYJt5GH3CffG8fop7yPa47F+fJ3jPlzXXnt3/e4bvehrNHb9idpSj+/46HLfPwaNTPAX5udi+vA5Ht+tw7JmN/u5ZhIedMD/yeFuwlrrr+1WzVcKmT2HQI+6C2DT+OVJptcI7XShW9QQplZQ+sp3AkCaUHrpEXKrfN6WlpQQEBLTpAPC8DgHXdd999/HAAw9w6NAhBg4cCMCmTZt4++23ue++c//ryel0UlVVRf/+/dHr9SxbtozJkycD7izj0aNHSUhIaPS5d911V705gwDjxo3jrrvuOmXbjEYjRqOxwf2KolzwXwytVtsi123NWqpPvDwUJvVruCNF9/H3sAQfxm99EJcLgmdMQnnxAFdmT+XQ9mV0d6TgBMKVAnTDbwJFj8eVL7Mv9RjRGb+xRenN4uDHGFEyi4p+f+CWgZ3cJ44b22g7LB0GcXjeu3S98mkKUvKIyVyM4lmOuvT/wF6Mj+qgDBMbAibQtSqQETo9GExYbA4WbNjByC1/4kCX+4gffx9eHh5M6ueJxeYgI2Ag/ct+p/vRrwk4IVArwr0C9WQqp12O8vIBiB7J/7N33uFRVekf/8ycmcnMpPdCGiEk9ITeu4AICIgIiqDYfu661nVtKyuKZe0utrUrCtIEEZTeewkJLUAICem9TMr0O/P7Y9KGJBQFRHc+z5MHcu+555x7MnPnO+95C6mrKF79Iv6GbBTApUgdPYLPO3+FsjyDvxTMvWBbIYdF8m7MPO/vv/FUAbrAWxmc/hY1IeO4oUOA02skqs9kpNV3O12jtBuokgeTqN/JMlt3ptt3Y7SD+jIslBfDiCN9jgEI8vHk1Ot96W7/9dGOKZIXHbWCSqsNf0mHBPjo0vABEGAX7ojKdOh1Z+Nr6I4liBWvILdbGwRghXDDy25qqJiCFef3VMZW0HpD1i7S1F2IPfYWJQQQrC9FdLjRocJjh0HGdjYY42njI2E31nBKHkkM2bhJVgxCS47kjT1Hh2XTT2SV67n5ljsJ8PakzaSXqDRV4Hl2Oad9RjDu0ExKUdPmq75UBw/E45aPIToBhCAoOBSe2E7GGwNJoguh3/2N3O7T6D50ElqNQ9QllZjotmkM5xKfpH3ssCbJ0f/jqJyz9z8w9CmHz2DUIOfniFlP8YK7kMv9Cbbnc+Lm1fQMi/zVf6M/Kn/Gz5s/0738Wq6aAHzrrbcICQnh7bffpqDA4bAcGhrKP/7xD/7+979fVl/PPvssY8eOJTIykurqahYtWsS2bdtYv3493t7e3HvvvTzxxBP4+fnh5eXFww8/TP/+/enXr19DHx06dOC1115j8uTJ+Pv74+/v7F6uVCoJCQlptmXtwkWLSBbHB0aTJLB6s5X1JwoZ0zkErbCTvGU5Rd49sNkdjvEhko70L+7Gy5CHp1RJpgiiLcVkTFhKXBMrXGqRkRhguHQQde7btPcw4Bnvg95g4OCmZSCD3sMmoc3bg06v58ejxYybcBtFG94hQ5tA4a61uOUeolLrQXbGDkIt6WiwIwd8MHBD2Te0CftPQ9m2H3cf4+bt48ghgM5HXuGw3I1BHRwWjg018VTWmBmb+hLu54k/iUbxJwk40O4ftM/4hgBro7Wom12HcV4oSuGwdvlfxNJXn07G9MAetBGd8QQeB0pLiqj88E28pdoL+rzdIR1l79zhJDy5qqFG8JjOIaRs2UVYx95YTBaHBfU8Eb1I3Mwd0k8Nv/tKtbhLGaiA6ewGrqz4g8a6wG6AtSqN7rbG0mY2nCP0ioUbQZKzm8v59JyXwY41XxOZ+ik5mn4klq1vPCmBTKrlZLWaMJMdbxyv15QDO1DLZMiAEyKUbnOO4ftKGyRbfVx3C8QMhYztlPr3gHfa00ZmJZASamfsbRRXdTWDR5utbDhRhNKUQ2cpg3WiFwkBcrbFPk/k8f9gjBlL3qkU2lizyf5yMwEPLQCVFp+ZX4DhHdqv+Tsn3SfTOXcxNsCzaDccFHDoC7jtW9B4g1DiecMzhG37HkO7sRitalK2r2LAjdNBV0DiphkYLRCd8hZ07AVyBaVBfUk5VcwgDxtqO5CxHYPQkrR5Jd6RCY33uvdD/KrPYBEWdL696Nlr0CX8ZV24+GNw1Tb05XI5Tz31FHl5eVRWVlJZWUleXh5PPfXUZSvv4uJiZs2aRXx8PCNHjuTgwYOsX7+eUaMcD/F3332X8ePHM2XKFIYMGUJISAgrVqxw6uP06dPodLqWunfh4vJpIdKwacoC46kNaCrPElt1wOlNVlVWTK22DVJgJ/ZG/o3Kx3OJ6+lc43ZCjA0vTEhAf/12gj3UaH+6j8xVr1CedYKKcyco/f4vcGIF5l+ex700lewFDxLTYwSxNcmcKypGXnKaWqMRmakKkySQ1+XdkMshgjLU8kbPj14HHuc0UcRQwB5FP0Jz1mBcdh+Wnf9huDyZitRNjrJjdeQJGQXC1ylHsJAg4ex7eNtLGiOa61BCnQBpfTnzp6/htHsvQMYn8R+gjWgSmW/QYf90KJvoQ6XwpubmjxFzSxHzdIh5Ojb3+m9DUzvQRzqM2+sRbF+zBHDUZR4wagpGbQgFeeco8+nSbPyxj3/E98K5EkVraVWuNHLAs4n4awk/Liz+ALav+JhOg6dQkPgYnUfdxfHp2yiUO29txZlOkv7zfDDoOLD4VXoefgqzKphq7/bEPnkAhBIxci6qC4ndOnG39qfvaSdzWA1VgPqbGyl6bxjG5CUNKVjqa2LfiCMjw40c4tCQr7ll1ECGPL2CQeNnkRimIlJZSSc/HNVq6lFpUQbF023EHZTHTUMGVAcPBJsVk0c4ljfbo887DRnbCWzTlsFT/sag8bMIUJhIHDoRfXkh5vk90HnEo1bCue5PO/pVe/Hz0s8IKD3Ebl0ADH4cYoZyOC2LNE0iGUVVjm1jyQL9H0Lb9Wbs3pF4zXQOSHLh4o/OVfMB/F/AVQru+uGar0krFsANJ4oY3TmYgxsWUXoulcDoTgzc/3DDZTs7PU+Xmx5kZ4bOYSk8L5Gx3mxlc1IqfXbcj1/NKZLD76Rz4Y9kRkwgvM8Uso9sRgbEhQXgdvQ7TGp/ysor0E54HZ+SJDDXUH3oew5bw3AL6kpIwQYC7OVYhAIZAi1mcoKGE95lIG6hXSFmKLXrXqTsyDrOtJ1JoPkc8ZkLsCMhR2CUe7CESdxj+bphjhYhJ1sKoh2NUfb2uh+LEKhsElUyOd42hxQ0Auq6lCFCgkfEo/xH+k+DJS8Tb0KFHplkJUtEkx00gjF/fadxvKX3cObkcbzs5XwU9xWv3jHYac1WJueSX1ROu30PMUo62uKfa3mH1/DVpWNVBxKqS6J7Yi/o9xeMGbs4nF1B4rAplBlsPPbBDyy1PNxiH5eCJKNx6/QKcr5FsDX2B93KgL/+15GEe+3TMPZ1kjYsIvHQM07t9AK0EugVCnKCJxA/812Ee509d+ldGM/uQalvtOSKeed9eS45i/TfgWSYDcTgqM2M0KDAiFqys0d0weuupSREBpH0/RwST3/ccOnxu49A6Uk6rZ2OHSia8iMRJXugutCRLqjjeErPHsbr29Hob3gTH6kUBj3WaF006LC8HumoJAPYUWAY/hLegx5w8mct+mAMOrua6MoDqB45DN6hDe/b/F/+zakaLR089ITd9AzEDEUvydhwvIDY2iN0jAzEUlNKUk6V03by/yJ/1s8bVym4qygA27Zti0zW+tfIjIyMqzHsNcUlAK8frrc1+WL7aU7vWUOHAeMZ5ZNN2MpbG/Y3/x38NtmeCfhoVLwwobOTCFyZnIsmaytady+GqNI4s3sFIYbTyIQgK2YmnWfURbWnb3ZET6athzGvQd4hyE2CY8vIqbGhslSTHTKauIJVqOxGquXuyMa8QXq5FVlFBl4KM51ue8nRT0kaWPQw8BEqPhiOtaoIXxyBGTbhEG1NWcpAprDbyQJoA6pwwxsTVULLOSI44dYbH63A2Oev9DnxCueq7PiZ8zkktWeWcbFTn/VD6NFgfTyVAD+/hnPHv36YiKwf2ep2A4P+9jEBHmqna5sK7zObP6fLnqdb/JtssMXgEXMj0bk/4t5+KOQnkS7aYfGLo0IZhip1ISNlzQWkCUAoUEjW8yujXVc0FYl6AarE2bjZjHCLw0IqzWmef1WSKdg15FuGDh/T8L6p+XY6bmlrm/SlwHOuc9YGy2vR2E0VgJI9Cf8mp7yKsSUL8DVmOoJxgAz8icH5OgOwT3RnOMmNf3QBRf790JYd5ezNK+nZox/GF4Mx2+WoMWF98lzDdr6jEx3S641+eGYEAjm2qd80iPmTP71L4vHXKRc+uD+0C22gs4+uvryQ6kV34T3wHtQBbUFfDnIFUtQgzqSfJdKew7JD5/DwCSTUzeLYTv4f5Xp7tl4pXALwKm4BP/bYYzz66KMNP3/961/p378/Op2OBx544GoN68LFdUFaqZFU9z6klRqJiOvTeEKCpwr/zumCGmpNknMiY8nCWPUJzG360U+cgqgBeJkL0CIBVvwrjjksHEIJ8TdC11vJGfIm//7qe0qqjeDmAeG9CfFx5+eQBykRIaiEhBWBXabg3IGf6anJw+4fR/SkfznGzE8B7BCWCFl7kI2YgyRTUmbzcgiKFrZth7C/mRCS5DJ8MGFBhl2ykevTl1h1JZJMQcLOv+DdYwpdzEeINx6mq5fzdqYdh2AoEX5k3bHRSfwBaE0lFKsi6K3KIPnbZyktL3c+X7fNqFUpSBj7IPuDb3XM6bxJjhTZmCxW9tOJ2rRN7DVEEKQ7hDpzA2NPPs1I2VHMTb4O16fvdgPcrlPxl2JTkH/3LqqFh9PDXCuBIukrkk5ls+TNh1j/wxdkRE9r9sQ3ADnZ2bD9LYfVENhQ6OPcF1bIakzov+2dmcj1FcgAC3b63DiDmfc+QcA/DpLV7XGEaBR/51sX3IDhtmTK8XPMRYAeFcHF+9BKetqtmojuwPfkEIkaEykh0x21rZuy5jGsSkfOP51HZwRyDENeJC01Bbe8AyjeiCbx+OtINvCTKtGmLm5WFaQ+6bm62y2O6GBwuHRk7gTJQtHe77EG9aSmspzEoc6ZLFy4+LNwzbeAP/zwQw4dOuSUNPqPissCeP1wva1JaY2R9zae4bFR7QlY9xDV2UfQVpxpOL9w0Abc/EKZkBCGFjPs/RCCOjpKcp3b7ag/nLmD0u//go9UjlXIqbn/MOsyDPgc/hBLlY5x2mQ+5TbSpCAi1Cb+MaaDo/PYkY712PwdUfIi9Ed+IEXTh37tQ3HvcANYDI66qmc2Ocrbndvt2GIDdm9cTqrogv3sRkYWfkokBU4isD7x8PkJiA0ygdWuRIORjW43UhY2mEndw8jYthCZxptAfSaBVclYkKNGco4vEHC8w70kTH+HptQH1QwOV2JZPJNT1Vq8ZTV4CYnYx352Ls13PpIFdr1H4bEtBBbtcRySKVgU/Ci+RQdIVffiFuMy1PZcws+7dItmNAM6RWBLWYpWqm6x+0vdkr3aGIWK4z1epe+4u9n15u30r93YYrsMEcxW2RjutTamYrEARxUdUIb2INbdhNuZVVi6zqIiIIHQTY82Xlz3drIBusnf47v89oZTx2/8moSBkx2/ZB2Cr0aDdyQ547+iYOED9JTSWpyPJOTIOkxAHz0axbq/44YRmQTVwo0KWSiB1jxyFO2o7PMICcNucWzBShZK9i9FseEZNF6BqMMT4La6zxHJgvHUBuQr7kUuFNjM1QgJcgP74j30YUrWv0mV3JeoOz8koPqUk+tG/fVkbHdYAH9+nyjTcUpqrATM+uby6k234BryR+d6e7ZeKVwWwN/hGTZ27Fh++OGHaz2siz8Z17xIeGv1RVshwEPNy5O7EqARYLfhqbChF44UQmYBM3aNJvbYq2iFHfP2t8k7sQtzziGHGIsaAFkO0eIuN2EToMRG1hd3E7njH3QpW8fN0mp01dU8YF/KIJHK9NtmOKyC8Tc2Wgmj+qOK7oP/3/cz8uH/4j7qOYf4ixrguJeoAQ6rT71/lVDSfcRUAgP8uPOeR2j33GGq8ayrdSvDgEP0STiLv2qUGOTuSNg5I6IJsmYT4OdDZdJKYgZNwUMJp6sUVEgK1JKz+PtFDGD5uGPNxN+RM2c48upQ0s+dY1eulf0DPsE9MJoQSy5h7To7BPN56A2GxpJlQgmDHsNn8H0cEY1BH33kGSjCujAyWo5ZTjPx97EYRzdrCqcyzmEb/A/MrXzgXQ/iD8CKje5FP4BQMuiZ5VR5RrcYuxsjFTmJPxtQc99efLSeyNoOQ5H+CyaUKI99id/WZ1rowXHPvitvdzoWvfkxx38KT8FXIwEJdJlEfD+GGFoWf47xbSizd6P0bwtyBWWEYBRuWIa/ioe9DANKPOyl9B87o8H/rmTv97hveJRsAtFXlzlyWH49HmpKHbW5O49Ddc8mFDYJVc/7EHMKiHroZ0o3vAP6Urxr0qn5b0+kBVPInhfvXKu7LrAFAJUXKnMNkf2nXp74g9bL0LlwcR1yzZ9jy5cvx++8LR4XLi6Xa14k/Nc+2DO2Q8+7oU1PbCNeoVbhhUoCmx0SM78n4+f/cOJ4CkaLlbMlBuj/EOb07exNy8VoNiHiRiNwWNwSbSlE2/MJl5dhBPzQkWqLZPSYm4moPuIQc9vfbNjKQy4ciW/PS81hPLOVoyn7MZ7Z6vjQa2KpaLqdmlNSicEuABkFIoha30QMXtEIoN4uVoUb5wjDJMmpwAetpOeEqidxpz9FVZFO5vbv0VWW0ZkzBOAsnvVCi3HMu0xIaJ4R0LRwFt6SjglH/sLo9p4MNO0hqGALqvAEDCc3oHMLbSbGk7f/SFldCpD6+1UnTKHH3N1O7Ublf4Y4+TadpNyGYxKwTAxjNpupsGnoYjiEducLmC6YdMaZa1FYShLOW9vukpVDPjc2/K4Z/nes2kAKhc8F+5EDXp/3p6jXU6gjEqi+cz1KbMjd/HBr2PwGu4CKiU2iXyUaorz1cgUHPepE06fDneeJDN8LLIgSsOhLcVt4E/m2UDzkNcgeP0ng0PvIn7YWo/CgfNqPDe1zcrLQbHySKknQzp6LNOpVRyoYuwyW3w2n1zl+anLhrlXQYazDQiyU+Ny9mCqveIx4ECE5oq3bSGVUvtuPJ+e+yJGsJkmuM3c6KuNE9ocO4y64hi3SpM63CxfXO1dNAHbv3p0ePXo0/HTv3p3Q0FCee+45nnvuuas1rIv/Ea55kfBf+2CPGeoQKpM+wju0LcoZC0lxH4i8TldEHJzHNs0IKiQN+e7xbF//A8dLJeTl6RTvXohKX0QVno7tMdwICwlC4RWBGsggnCq9ibMbP3OMs/dDcA9s0ToGNFgxj5zNwzt/J5kpW5tbNJtYOjO/fgB39CjkdoKpRsJGrSaEQ+PXYsKLQ93+xRe+f6fAbwA54TezWzWYkx0eo2eUBxHhkWCuJrpmPwmV2wiQKpqlhzHdu52p/Tu0aGWJ6DYEX1GL2a8TR5a8RO26F/C3FaDO3kKNTcWpDZ+xec0ijCfXg64Avh5PF20NHY++QfS+R5HmeJPy0mD0ujL0JTlN4pUdJJ73+2IxEo1k5jvG0F6rx2KpxS7Z8ZQu3cJ8tTfH/s14imZsQ4Ycfd1oVWiIz1gAZj2lhbmUbXqPk22m4EMl4KgF3FqCGQH03Xo7hcUF+Ed3QT0nD8X4t5yUrNG/EwHdb0Y8nQ2S44uIHEizB3BaFkdR7ycdDevS2Eh1P1bLhdPa1PdjBWI4g+wv+9B6+4NkIUFRRMScVBI6NlS5purL21DZTPhgZI/PZAL73gYDHnbU7+t5N5SfhZLTDp9WfbnT+zQgMJieT6wkLliLqe6PVC7k5EuejLNu5ssF37D4YBZfbj3Opk2/YDTUwIC/tbiFe9Gdh3pL4p9k+9fFn5urlgh64sSJTlHAcrmcwMBAhg0bRocOHa7WsC7+R6i3VF02Bl1Degw0zaMiW6XpFtHl0PS6mKEc/PlbqjUx2Gp3I8fxITgq703Ktd3QZZ+gTBNNbGA4EdlfE6qsBoUfRmR4AVvpx5iJH2L/MBEZgjDKOOQ2EFuvx+kplA6/wb0fOv6VLFCaDvZMiLvBYRVcOhMGPkoP0wGKlWraafQOC2XT+6qzdBqTFtPTcgClzYxRCGRKFSZtKMG3f0xfb3/om0Mw0LfJrfaHOr/C7pC2AdWZXXg2SV4sBw7Louhhz6I4YgihNWkgtW3xw9J79D/ZXWCgpNrEoVIlz9urkUsS1cKLPJsvJ4hEk7qP7WWB3JB9GzWecbjlzSPMYkRdN2ZXy1EsHyRiUAYQgkNstMYw6SBuWMmXApH0VbhhbfbtuAzwb+nia8Q/5y0EQP94OtK73SmXzPgJAxU12WS9NZg25nR0aAjP+A51nYhzk2Cr6E0U+bSV8lq0Z3qlfgMDh4BQsjOjlgFNznnMXu34j8abFKElUdJjBeJkpSygL9O6BWH55hbA5livOgthsw+W8/JK1+eEVMihQoQRUJ9mJWO7w3K3671G1wTJQpQ9G4tQYLfLiL71Rcfxrrc6fiSLI5o9PwVihjhe6+e/psx6pPJM7DJ3qr1CUA1/FmnLd/ys70G7Pjex60wpnc58yimNP9a8HLq2IuCa7jz8quePCxfXEa48gL8BVxDI9cMlr8kPD4DFgLWmmDx7AIG3zXdYHq76BC0Y07awY8vPeJcfp510Cl+ptuH0sdCJaGpy8FHJqFX7U6aJIbwqBR9rCcrys5gQIARpMXfRPuMb1FiRebZhf+fnSRxxazMrmnR6I2eyC2nvXoUIjIdjy8E9AAqPwoQPkBZNoUpvwW3WCrTVGQ1+h/qg7qQv/xedcr6jFjVquwmDTM1/PJ9hVOeQi6fDkCyw421KzhzEL2eTU7DIVtGDnDYTud0zBbVkcFgrO09qJqxLddV8vuBrtMJOnknD6No1+JsyiBMF7PSYwAZzJ8xmC/4+PsypfBab5Njttox9j9wDP6It20+wZMAolFT6JBIk01FaUYG/rYJtIbMYVrjAqe5tPQ2BHfUvn6aWMBzblr/nuy1D3ZFoTwnlXT+hl2QwvwNukr3BJ9Mumky9LhXLbjEAX1GFm1RFOym7IV+jVYBKcgTGpIdO4Ixff+TlJ7kpvzE4LwuIOS//3+4ta+m31ZG/L08dR3B4NMrMDXWDOgJLWpJOVgGKhok6nzMJNW5aL/Jv38T3K1fyQLsKNGotRRkpWCMG47Xv3+yPuJdBOZ/wQtD7eITG8fLNHTCmbWGdPo7RXSMcr/8LBGDUbnyVzWmVjKxcjuyB7U5pYfRmKy/9dIKq6iqGli+j/YjZJHTr5vwcqetbHz6QDafKGd05+PL9A/+g/Fk/b1xBIFdxC1gIQXFxcbPjZWVlf6oXkYs/GB3GgS4bXWUFFouRkmWPXfUh9WYrezYsITV5B91rdxEqr6RI09GpTZvi/UTpT6CpOUe4rYhgSy6+Ix7hpE5FgV2LGols/Ig78zlukplq1Igb/sWAUVOcP4jMetj6b0w1FZRUVmLShoDNCsOeg7NbIPEO2PwiRl0xMqsRacEEh8Vl74cglFR+dCOdz31HGWrcMZLlN5THA76kbzv/C6bD0Jut/JiUiTFtCzqPSPxyNgGOz/ta5BwKuxPfW9/nhrwPKVOGgM0CnqHNttT1Ziuff/0F3jUZ6I0m2nlLbIh6BH+1oMSvD2EhAYT2mECy6Moj/vspxQ05kEEw6r6ziX14FWFzCxHzdGwdtQGVVceGXp8SOjedM+1nEaw0NduKrscOFOGNhFszhz41v6/4Q0CU5SSW8kykb2/h5KkU3CR7/Sn2iW7YUCApvdlMX4SA/Enf0eu51RT59yKQUgBkAiqFO6rz7m/sieecxB9AzJOnGv6fc/YY5S9GESfPw4ASGxBoTHcSf+AQf6XCk6rzpt9QBaYFc4Ob3YhVX4zsizEMr1hJ6pEkKk5tw2aoImTfv/CUdAzM+Zg1IzfjERrHY6PaQ8Z29udbUOfsavQDbm37tfAU7J5P75LvSbP4YN77UaOfLI7dhH/d3JnRiTGM++ubLSd9Tt8MpafRZm9v8JF14eKPzlV7FbdmWDSZTKhU16rIkgsX59HhJlC44V5bRU3SKtwnvsXK5NwWq3JcKdafKERrtBJfuIVqbTjKqhz0gYkUGbIJlhxfkvykQsqFCndrFWVmQeR9n4FKS/pPK+gsncKMnDjJ4clmAxSSBAm3NR9s74dgqKDixLcYg8eTcSqFLn1ugMXTMat9sa16AmEzIoISsOkKUIz9d0PaGeOy/yPYlIYEBGCkYvZeUks1TMvZhSlicOvVEMx60pe/THFNKLuiovBPWUC3Jqer1eH0vfdNTr/aF6tkQ3FsGdz+IcSOdPqw1putvPLzSYKEnTBTGiP0qwmrqqLSpuU77Wz+7nGQqCnP89p3JxnidoZfiv25XXIIurZSEfqaKqeEwSN6d2OD9scGP9F25Xs569ah1W+9AjApvNnhNoRBtWtQtqRWfifO4YkXdpRI1Jbmk7h2mtP5AMtRlHI4h4GOnCWdcPzbdGf9iULcArviVfC1o6EEfqK2oeZya3wnRnOXd2jD7+7fTcBgB/9tz3BWbqGDDQS2BuFnE46ckVUIKtDSnmqnVDkXFM82UAgIlQoIpgC7HUSho097nSVTKxmYvsFR231rUjhDZLn0Eg5hXpriiWFFNWUIQpFIsbfhqGIAM6Vl7LbHMEiRgVoCNQaCqKL28BdUnVjJgXYPkVVQyJSKLymetoZJ3bohpW8DSyDmbW+zwWsSoxJiQLJw7vB22oUF4XaJfy8XLv4IXHEL4Pz585k/fz4ymYzPP/+84ff58+fz7rvv8tBDD7l8AF38ftQlUVb3uI2o+xeyM9dCeY2Z1Ufyr1pamTGdQ9CFDSa13b242fQc7PA4qaIDqvs3OLXzq7PsbYp/mX/+fJbSGiP9Z81jj+hDhfDhmIimQrhhQsmnypnklFQ6DyRZHLkE3bzwHTQb1H5YY4djWTCJ2hoD8ux9CFstEhKK4sPILHpktWUOXyuVlqxzZ6mW5Ag5nB23iICoTtyoTUPj6ccY7enWb3DvhxiVfoSb0rHmJdOtdi+Wuk/8IuFJrfABlRavLqPxEkYUXSY1pqtpMvfkLctoo7XjX5HCKGk3sZSglUwE2yv4i/G/7GtzN+Qe5PUpXcn16cOYwQM4okpEBmwSfVj9yT8pLS+ndu1cNn/0KPqaKkbHqCn85i6W7T5OtghDdhFN52HXMcToEH8SjsCbC6kX6RrlUYimmlM9XsaIAj+pstn5OLnji0G0ZMbHpiNGyoVPhlBSWsE3p50rp1iQIwRIwg2jaDmX4p3SBvas+KTh99o7V+OLgUoEHVowodbnivRCor3ksMhd1tLUXS+nsfKMXGpc+qZ/guGyXGTg8HOUIECqRgWE1nWSKMtjlrQMGzBIltHMmuuOiRqThfap7zOj9GMkq0TwkvGNkf7pm0itUtDm5FdsOFFE8vYfOeveg7MFZY4vLS5c/Em44j6Abdu2BSArK4vw8HCn7V6VSkV0dDQvvfQSffv2ba2LPwwuH8Drh1+7JvVlxIxWK3q9kXY1SVSE9G/0K/pNk2r0SVp5tIjyGjOeKjvhFQdJHDoRrUbDrpfG0t/iyPlnx/EhLoAC4YNKsnK4/WN079GbdUlnkMXdgNVsxr7tTbTmEjK9+/HcuI5w6me46S3IPej4ADNWIcUM58jRo3RcNQaLJOEurOSqO+OvP4kGm2MbVAYWpS/a58+Rc2QjYctvxYDgoOjB8Lmbmt1D05rH608UNlpNzXpqt7zJ1qQ0xhrXYMWxtVCujsQiV6Ka/RMBIeFwcg2c2QjtR0HH8c5rdXodNfmn+PnQGXrX7iCKbKcP7kNhd9BTnYti+neNwTun11GTd5z9qRmI6gKWBj7MZMvPhFcnE6lPZa/fRNx1mSRIh6nFk19kvegd5E5swWqE3UoO0LRAWJHQokaOl1TT4LdYJrR4oMftWuR4uQAScGzqdhKXDW3wq5SalOlLsUGiHFJEPF05gyPTnoy9JDBESnGyxkkCdCIcN5Uc9+henOn6JDGLh7ToF/l7UD9Xo4ACSU1bjBQCIXXnC3EjEBMGwAOoEjLcJTvVgA9wGm/2i9HMlJZhAZz2mwRU4onJpz27ayKIMJ6gm+wce9o/zQ0zHkdK38YZcyBRxRvY6DWZGxLagmQhZfuqhvfs/xp/1s8blw/gVQwCGT58OCtWrMDX1/dqdH9d4BKA1w+/dU30ZispW5ZTK9Mi5SYzLOd9SqatJqJj/18/qTObGgSZPmpYQ73a84XlkRPJhC27CY1kRoO1WZWNHcqBnBv8JloPTyLK9pC/bzEeFh0WpZYJ7dSg8gClBia+3yDWJOSsXzSfqIzPibfmck6EYkfBWVsI3eWn8KvL5JejiiPIPwB13p4G65gudjx+dy1s9bZWJudSWamjb9H3dLrlOUpLipB/NhQPSYcZGRrsGIUSe9thbOryZqOYrimFH+6BKV+CR4BDfB/L4UZtGlQXU7XxVRbKJvGA+TPcJEvDGpgFVIkIaiULys4TiJj6luPEseWw532IHEyNOoAfz8mZHFqBOvkbqq0SNTJvPK2FuNtMmOUKFDZID51AbMFqLHYre9QjGWbc3CCM0oQPekLoIKWhbtVT8OpyQtOdzobkZscrAF+g1A4BMtgd/QBD7n6VpJeHorZUYVR60fMFxxeJnNMH8f9+HObIwaizt6KUmqvXIrdoAuN6Ip8wnzNZucQsGvi7CsD613w2oBz9AeEDpjfz5dPryihc+ihfef+FAN9AbtpzG5V4Ei/PptYrhn32rlisEiPu/zcB3p4AVM6NxFNqDGSRhBzrIyfRevuzYf5DxOu2ckA1mHGPf4hWo7n4c+RPWOnjYvxZP29cAvAqBoFs3br1Ty3+XPy50KoUDBg1hcGRbgzLeR8DCkIX3Yg0x5uk57yR5nizcu7US64EAjjlDmyaYPl8Ejp3J3BuAfI5RXzT/g2H8GnynB1i2c2sLQMY/3NX4trHcdK9Pydpy3c+D0GPmaBQOdLanOcEH66qoS1lVAgPQoUem2cUgXIdKL2pwpdsdReUKi3ZBWkN4s8iZOzu8PwFb2tM5xD6Fn5HrLsRds/HvGAKRrsFASixUyhCsSp9KSwsdNpet6x7DkK7w4bnyTl7DP2rMZTsXsCubBOGne9Tjj+zzV9RJimcBHAVvriZS2gjFSI7uhx9TV2IQdp69O7hpB/bCcCdXsdwD4hCxAzE09OPU1790aHFLgfLeeLmjYB/k2g55CTz4qRKEqVTv5v4A4hsQfyBQ/yBQ/wVhQ5lyN2vglCi9+tAlKwQg1+jW01EfG+0c4vxuWsxpQNfaNiOb0qwNRulfztQadDpKq/8jQDn55yx47A+ZopwjsbcRW7keERET2xChl3AjrjnaDtPR/jgmS2KK623PzH3f8ezk/qSX2Xgg/DX8JfXoIoZiEF40btqA4GxvRrEnwNTQ/ofndBy7vZtaP1CIH0zfUy7saJmoHv2pVv2XJU+XPyJuKIC8IknnqC2trbh/xf6ceHiukMoUXccQ3bv5/GSDA0ZKxIFSHa4WdqALmXlZfV3OUlhtSoF98z6P8Q8HWcn/9TM90wtgce3I7lx4u3sj7qfUT3j0bcfD1M+azGnoclQSy0avLFgcfMhgFJi3PQoLNUoVCpk/m052Ptt4qXShmuW917FyO7tLzrPTokDUdnNENIF1awf8JMZsQN6oUHv3wm9TUm1CQYen4Ph2E8UV1SzKvQRsrIz0I98BY9vx6Gx1zCp/FPOZuew0m08YZazWFDQpkklCqOAEhGGRS5DBvhSyclP7naUe7vpLY6XmPmr6RH+c0SOvt+TsOtd9H0eI13vjk95Elm0oxwVHjZH9RWADSKRByreRi8pqEXd4j1ejKu1I+zZyvGmFYltxSlUzQtEmuNNv+IfyLP74VZ2qvlFQom9530cUg3G2OS1ZBNgx87KnRuQXgzC8/B/r8jcM5rEFJoA7M5BvzIc27ttvN3wt5YR3HUU5B9Gjhy7XE3fWx+5pHG0ws5Y9XGENoCDN65CfcvHaGy1JPndhFAI9AYDW1Z8RtI7t5I+8lsMQsvx2zbhN7eAuPgEx5e4/BQ0Pafh76nGZ+Z3l36TTRPCX2Z5SBcurjeuqABMTk7GYnG8GQ4fPkxycnKrPy5cXK+0O9hoNZHh8K8SMkgRIeT8/A55r3ZHt++7q/rgj0sYing6G13YQKfjcslG+0U9mZ8/g7Bzq9h4LLf5xZIF0reQqYxFL9OyIuRv+LTri/uIJzjT6WE8Q+PQ29yJyltN0K4XnC69c9zQS/J91EePZLeqP/qIIXgUH0SJDZsATwwUxN1BiTwAC4LSsjJ6mQ+hztmFVeXJpvgX2ZBhxKryQcigFm9KKmvpU7wcu2TBvUluRIAaAom4+RmyAycgk8uoFVosNjvVX0xCbzCwUTaIcknNftGdiu/uxlJ5DvHNDfgb0ukipdNVOkKAZHasnQwq7ApGcIJSPKhBw1nCyce7VUHXmn/MtdwIk8BJpoZKOtzrUsDIgVhZEfKb32npUuYt2kyiYS8WSYVJCCpwBFfIJDs3SykXHLdedFYLMPnEYBEC+wUq43kjEPN0iHk69E/mstDnHuwCCutWywYoJRBtEjDlJaP8+VGskh2QUD2w/ZKscPqSHKrf7IZn6VEmeZ50lBHUeON9/2oCY/vQa9gkMle9gnfqImprq1HveAnt4IdJiO/ceP1bCZiMRtwUKnwe2+OwCF4qTb/UuayBLv7guBJB/wZcPoDXD1dyTfQn1uO27DZMdnCTgbh3I7ric2St/xA/cwF2QKVUsDb8ccZPmUmAx6+zIl0S29/kzNl0ZMXHCa9NxYIcN6wNAiRFgp6v1vk41fknGfVVpP/8IXLfCM6VVNF7xHjEnvfBbMLbXoboNh0p+WusVlAocDJnHbx5I/1697notFYm51KoM+KZvpJbc9+ggFAiycI04xe01goqzx7km3QNd8TUcla0p9uIqSCUDX6QG7duY/TeGRxo9wjk7ifIdI62UhbKuukIoErAIfrQ8cYHKdn7LeHGs7hZdFg1Abi1G4rx5Fo2xjwLuQeoVodwT/FbDb5kFuoiSpvMuT7pcWDxBtRWPVrslKOkVATQjoKGgAoj4D5PR9LRFLouG/r75v9rgZZSuBR6dKbN45soWDOXmuTPiblEG2X9msQWrEZutzrv2tZX7xBwqPvr9MpdQElJBoGSoeXOgJQBH9Bz7MzzBrGQtHQe3VLncyZ8Ah4yK21yfnFqsi7sXsbF+0NoAsSNadVqXvZGT6z6ElQyOad6v0L/m2Y4NzizCYNMRdruVchyDiLzbYNw88BYoyNy9hfYPhqMuzEXm9wdz+mfOKLRm071cp4j/yP+gH/WzxuXD+BV9AG85557qK6ubna8traWe+6552oN68LFb0bbeQxnJyxFJZNxdtwi0Jfj7eFF7COrOdv1UeQqd9YF3s0+exfe23jm6k6m/0NEa01YUJLiPpBfFKOcPvwTBUhzvHl63luUJP8MJafJ37eEOGMKdjvcYN2OYv9HaPU5eFvzsElGOLKQFEUPFDLYRl+kug7tQI+fRrNqx8GLTmtM5xBy83OZnPsmOgQhZCHhhlbrDcUn8Qlpy6PdBYE3z6PfuFloNRonP8hxee+h14bTIes75CGdCaK8oYKEAAxCQSpdyaINr+8oxuwRjcVqxRaayFGpLeZTa8mwhdIj+wviIwK5uewLqlEhA/TIqMadwhYKn9WiwBMT2jrbnh8W2ksFmCXR4PmnBra9PB7tiunXnfiDlq2PITUnkOaFEpT8ySWLv3rsQOotq1HM0+Fk064Tf4eJxyN/DwejHryg+ANI3PO3FiaspOftL6GcV0mn//uWgDs+IVXENJw22mBM/heYcw9TsXoO0uttOf3VQxiPrXKysu/ZtBrv6nTsWElVdiZh+C3Nx4oZisZuJuHOfxP79/XURo/FUF3BZrcb+GXBG/jpM7HZ7FTa5egjL7Oudwv35ar76+KPzFUTgN988w0GQ/OHhcFgYMGCBVdrWBcurghxPcegmFtJXO9xIFeA1g9twQGGTnmINs8lM+6ORwjw9nBUJbiavkAqLcrA9oTKK1BbaxhsP0SW8G+2NfmqeR6mNY9TU1VGVuBwDosOyGRwoPvraIY9jlkViB5f5EINo14ldsLjzEnYQv6oD0j2HgPU+2jZ6b9xHOY5Pmxdt6rVaWlVCu7OnUslWnxtJgQy9Aikr0c5ahHXljj+bQVF79nIFEpyg4bhUZmGThPjdP5I8G3YvSLIUMVzY4yadEU78sLG8lNREDtM7TEbarBKVrJU7QjKWEWVZ0f0Cl/SvPtRpIgg/471tGmySjrkbBE9sclUnJq8lkLhKP8nAfl4o0JyehgONu0kTiq4lL/QH46a836XAfYV/8fuI6ksSTzv2SxBD+k0sqKj9NDkktLhUafTxcIfy/j3sNRpbQOQlpnh1EZvtjrl2NR6eNF1bjLLbj7KDPECSrmMb7V3UaHT4a7Pw2Q20TZrMbIf7sW44FayX07EOsebvtvvRC9BoFSLx5S3Wt4ybiLKtBoN/cbNIuqer/BVWZla9jHFQosGK0u6fc2GU+W/fhFduPgTcMVLH1RVVWG327Hb7VRXV6NWN26PSZLEL7/8QlBQ0JUe1oWLq0fM0MatnjoCPNS8PLkrAMYTP5OWmkKc2YS687grP35YAqrSLNqcXEetTYGfXE+eCMUsFVAvm/RAqFQOu98my+c+ysL/j86BGkaNuwWBDbVXsNNWlTfQ25bLrlWfcIe0nkqbHB+5DQkZ/piw2GHg7rvRjyhp1ScwaPgDVG16h0xtIjtrY5hpXcimfosZo9LC0H9c+J463YxW4YE2eTvtAuSI5E0Np5LUAwmuTiW02wjK/W9lpDYN26lDbCv1YtDQkYzZ8DTptjbEkkWlWYYODwIN5wgccg9hQ/4OQsmixV/RpclwVjSsbvsiI8LsjM5cCVSTjzcZoj0aqgiSdM0sa/WpVwqFPyFS2SX/ua43TECtJhr3+9egDYzAkrQCfpzt1KYz+Yjl/dGqe7BDCmeIcPYtjZcyEYMfo6dKizT3Pw3WwdC5DrG3Y+NS+pr2oAHCvuxF2t17wVxD0JLxPKl5A0WbjpitNqb1jnR0aNDRK+kpUHvxr+h1/OuWXmDWc/aH54grWIvFqMOGAlXWdtpI9gYp7y4gRR5G4nf9+NrjbjTBbfHNXEV/RSbinvVo28Q7Gpr1jqo4/R8iwNsTpcxCKlF0sWfwfY/viI2ObagQ48LF/ypXXAD6+Pggk8mQyWTExcU1Oy+TyXjxxRev9LAuXFw96q0KTWni/3M4uwKZycqBs8XYzi2iKKAPE7pHX7nScnFjSM6q5mj3WfRLeYoCu5qOyjwqffuxTdmBgJEP0uW7fg3NZ1Z+TrZOQUXC2tbnj2Mb9+YV85Fs4CO3kdXnRaScPZQU59JbOoFBgOnVKHJv/8URPXke3j2m4u0TBDFD8a8xsvjHjozrnuCwhl7ML6ou4rpju8HwYV+nTUstVXgGRVK67zt6d6lCUqkoTN1DQPAQTLnHUPS6n87JH5E1bQNtfH0xf3Uzmt4zIKgjOT8+z8mj+5lmS3ZKmFzh05sxcV7E5PyELPUbbJKEP7W84PsIH92gQCy7o1lory+QQiSKu9YR8mWnS/5zXWvK3EKxW/X4omvwY2xKasSd9FJlgUZDWtJ62v3UKP7OT3jTxXjYKWK4nh/FQKaomlQNOa9N29lfID7pCHbQIOH+dT/chZpKs4oPpEf5Z/ojWNo2+usZVzxEcOEOeitC6WQLQqvqByovOt71AQCmvNPIvhmLKX4Kxcd3EmnN4rhoQ23YaPrmfIXZBnfWfM2Jmra0JwezWaD8cgTH7DF0shwFIEuE4bZjARXuUdxUsQ8/LJwWMUztoELdsc1lrbELF39GrngQyPbt27Hb7YwYMYIffvgBPz+/hnMqlYqoqCjCwsKu5JC/G64gkOuHa74mTZM8hw8kZfsqLBYLqVlF3F76NquCH2Lq3X+/YpUD6iuWjO4cjGLnG1QdWYOvMCK6TIGR/yRpzSck7n+qoX29c39wwWp86nLgpYtQtGgIIxPT1CVoS4+yeOtxpko/skQ5hTv+9aXjYrMew2ttkVuNyHH4iRzq/1/63nR7q/Pb88t3yCrO4i030mnQZEeqjBZEZ0v3tXbp+0w6PbfhWJbwIEpq3KisFBqK5ZFYhZrQB5ZRu+pJgobMRmM3O7bnowaQu34+oUmvgeTQcRYcvnwmocasDsZTaUNSaDip7k5U4Q94Wq0UCzWa3g/iE9Mb45IZKM8TTyZAIWQsiXqFOzKeu+i9/B7sEwl0GXs/3rk74Ka30KWuR7/qfoLOe6rnCIgO7oql8BjyOtVnEQqUc4rZt283UZtmE2AtxYgST1p2ZTh+xy4S2rVDerWxRrCY25hkOefETsIWO1d4qa/qYQK2x81l7MzHOXLsIB2XjqJCeIFMheffDzvVcG6K3mxl6Vt/w9Omo0bmybRJE0lLPUjHo++ysM4C6HP2RwaI06S59yGxapvT9bVCg1yyosHi+EIgQMwpbfXLievZ2pw/65q4gkCuggVw6FDHNllmZiYRERHI5deoWKYLF9eSJtvCWqFkwI3T0RsM9Hg9lircmFT0MenLK/A2FRI4dT5ab//fNFx9AAUAYd0IqM4FiwHCHHnNenpWYbzpDcp+foqQJrEPTfPKxUoFIAObHNyW3YY58W6G++ViGb6AOzrd5Ghk0MHSmZhGvoJm09PIJSsS0Gvvg5T2G0NAky900FgWbkQbL9LKrRgK09CV5uLdbYLzDTTZkqPOkrTyq5e5OeNNJp13r03FH4CPZMBHOs1O9/FUJW3hdPvn6ZCRTI8ITw5mV9J3x62Entvd0F4OWIQGS5dp+ChtaM9uA6sRqaYAe0gvtHVCL0gyIqrSgd5UuUXjoz/nZNhyA/Kscm70ywdnt7brhtBe4/HuOxP6zkRvtnJ8/QJiRSAn7H50lhrrN0dIkFJkp2sTk5/t3h0A+PsHEfp8GkIIkt6/n8TipaiBHaI9Q6TGIKfAJTeQ5tOLdnXbvxJKp/WK6DzYEVDUREjXP/3dgISzHwGPE/XDeCyAr6Sj6qETrYo/gPUnCvGO7o4ycxNDRo1G3Xkc3TqPg6lzubuujd78NzYey2WY/DAnfiqjs/UYNiBZdEFofXBTyLBWnKWLyOf4mO9IcAVtuHABXIM0MHq9nuzsbMxms9Pxbt26Xc1hrwkuC+D1w/WyJqVZqSgX3ERm2DiCas+gNBZj8O1E5P2Lrtwg9dvPNito/RzWtqgBjQJLspDz8WSqNZFEFqxGU2cBrBJKZIAnFtI0iQQoTZyyRxMjL0CvyyFGKsMkBNrY4VBVCGNf48w3DxMjnUMPFIo2fN32Te4yLGR3+6c4VSmjc5gX5upKElLm4lN7kmBKkGRavvF8kJtuu5+CIxuwGGvoeOZzvPrdhafcTE7MbZR/fQddzMeR7I4ci03JEBpiLhBtukCMY9pzC9h4JIMB2+6g1iqI0DcmQv4l6jFGzngGrUqBMfUXziZvokPWMszCnUy/wcTkr0ZZtyYiuDNZ3j0JTvuWfBFAhaQmkZwr97e6ytgEKOfqSFrxDonJLyIJKCSYoLh+lESNJmydIxCnFAhoct3y6H8w7d7nnd43pvRduH1/M0dpT2ngAEY9NJ+fflzKuKT7ncekzqp33w60Uc6uAaXHNuC7dKpzWzlYZZA1Yw8GuTthXw/AEz2nRCyJcw+1em/6mirSV71KlUd7esWGoO4w2lH95Pxa1HUc2b+Wzmunk+relyMBE5ky4/8u2w3jenmOXE/8WdfEZQG8igKwpKSE2bNns3bt2hbPSy3Up/yj4RKA1w/X3ZpIFizL76cq7zTe3j4oZv7QYPm6kmO0loesfj0ijSeoXvUsGnslZ9SJeHl6kWUPIXHaHFL3/ETb4x+ispQT4FQvVcZRt74UKiLQ1GYyUDqEErDicP1aJYbQjQz0ci+SbTH0k1LwoIzQugoeFqBYBOAjVeCORIbwpoRoetiPoLRBBt74YcGIjRCMpIhYek55FkrTIaQLq2ricMvbT7lvIu233kEPKbvZreffupzgssOkFVbSIXc5surihnNiXuO9pH7/LOaKfGJKtqKmlvQgR847YbdiFIJqr474VRxHjwo1ZpJFVzRSLl2puJJ/qauGBKTF30PH0182HhOgejrbUR3GrIctryLtft/puvo1anjfxETDq8ENwR0Vj2Q2WHt/mTuSMZKzUMsQXrSf27JQrpzrjafUOD+rXElGzJ10ues91swdT7glja7yInaKOLrcu5CALU821IeuJycvH9PnY7G5B6P0C6ft4DsaXAoWH8xib3o5A2L9G4JKco5sJGz5rZgBlQBp8NOoRl7+tv119xy5DvizrolLAF7FNDCPPfYYlZWV7N+/H41Gw7p16/jmm29o3749P/3009Ua1oWL6wOhRDn5I/z9A1F0meSwzl2FMepTXpyfagNAbzCwdv1aPK0l1EpK2hhSOSZrjzZ2EAHenvS3HOSEzwgMSn9K6q6RALMkx1t/jk5VO4iVMhry8ylwWHQmSTsIk3LpYkllorQOgZlQDA07fzrhh5tkxL3uSIykowfHUNZtP8agw4AbWmABY0CuhU4TIbwXeAQxxiMTY9QIJvXvSO+5xxBzS0np/LhTwELY8ls5tvFVYkUR1pFNgsoEDmF8aAG8EUtMZDTRpTuwykSzII9T8gTM+lqsyNFiphxPekrHkAtPLMhb8YS7vtChcBJ/UBefUV8aUKXl4L7vnc5vFf2bd5S5s3F9JEe5tfrURrH3LmzWPJKqVudUFHO301zcbBZMmlAq5kYwSNpNV3kRdmCwlAYLbia/pATzW3GUZqU2Tufbh9Db3dDUZNEmvG1DBL7ebCU5uxLpPLtF6MqpmASogOL2t6Ea/Fir83PhwoWDqyYAt2zZwjvvvEOvXr2Qy+VERUVx55138sYbb/Daa69drWFduLh+UGkpHfZvqja8Rmn0lU8Pozdb+TEpE+OJn0nZvJiKqlo2nChqOF94bCsjjWvJkwXiKbeQEvt3AiI6kTh0Iuz9EGVkH0YGVZHT9VFSe77Ltm6vkKnuzAHRk1Pew9gUNJs00Z504UjbZBCOD3QbjaXJvLCyTfTjJzEcu5CzOPBBxONH0c3aQLFwtDohOiPH1pDKo0iAh9Aj+cYSqajB865FDjFbV2dVHTeiIWE04EgkPH0ua2454aThEhXwnb4PZ880CgckyPl8BtKaR7BIZsybX8XSphfelvJmuRMTLYcJtGbihg0LMoLrip91lLKRgD+Cp5gf1mbHNshHU6qrBrMe84a59GhS69mAgvh7P2neUdvBJKl7A7BfdKJ06SPUZCVz5L1baPvjxGbNFRfYwIm4ZR5nVc71pBOPvYqXVIUnNqw4orN3iE6kxv+FwJpTlOKJ4uuxrJ07joKVz9Gx3zgC5FV4Jk5ENfIZx+vDoKNkwWzae9jw0SgdZeAAfc4JjChQAT90/5TQGZ9deWu7Cxd/Qq54EEg9tbW1Dfn+fH19KSkpIS4ujq5du3L48OGrNawLF9cVxgXT0Eg1GBdMhzlHr2jf608UosrcxtG8zXTr0h1Z7SFihUT+3NfwlZUSFjyRMjzwlxswPniYG0PCGy/u/5BDBE6cz2CnD8u/Ed/kt6+/CUBVsoUylRu9g2xknzpApFTQ4AdmBybPfpaAKEealPpEHwHenWFuEXqDAf3mZej0B3BPXUq+IgJfayFKzOirSxgZ7Q9REY6L6i2a9Ym1z9va7uxjRkKGaCLlRmU8TXWX/3Nal5CCDVixozDpKJa8aXNuI3rkKGle21dVJ2TUdWfqN7gUzRKk/DGQgI62Iyxa+DVxxT8yzHbIKVBjp/ZGgn/4BxGPLXW+UCjp889N6Guq8FnzBkEdu5O18ROiak5Qg4yWNsiMJ9eztVDD6IP3Imavg8B2gCPRc9ycQxw5kUyXxcOc5ycgmzAY9TLD/dww5x1lf/yzdD3zEQdsMYRI2QQe3gXAGUU89jM7kc8LwyAJsjUJHDcHM8D0Bnfc/63jC4KuALcvBlEl90OGkfHjp1yxtXTh4s/OVROA8fHxnD59mujoaBISEvjkk0+Ijo7mv//9L6GhoRfvwIWLPwFKSY8MCXepwiFsLiUC8fyI2RYiaAHGdPBnz76j2HWlaLa9RBdBQ4SrRaZAhRU/jJzo/gKDmoo/cPRzsWTNZj1TQ4v40dqHKR7HUfaeTdues9B7xmD+YgwexmJkgPKrIZQ+nkmAt2ezLrQaDf3GzwJmsTL5GcoLCxic8hhKUwUhwWEO368m6M1Wkrcsp3NUKNnfPEFo9ho8KccuQRiCfaIrg6SjDVsX4QDHnS1acsmOHIcYaovD102FHaMQLRSHa5mr9mD8tZwXXXuhZunaRPQFyYzC2W8vZewSgg98SeSM91u+GId46zT9ZZAshNhkZG35ks7VO5u1OykgdsntDEZgFFrcvxwNT591atP+vOe8XcC523cQF9vJ4buaewiVTxh9yGev50tUlJQwPOOlhr9RnPU01Dru2x0IMOwjHjnTSt5krUrheD99ORqbNhgvfSGme3dfudybLlz8D3DVtoAfffRRCgocpZReeOEF1q5dS2RkJPPnz+fVV1+9WsO6cHFdIR/xPFa0WBJmcmLZi+hbKI/YjL0fgnsg5l3v82NSJpZVj0BNEeye79RMm7ubNh370MuyFzuN4g8cb+xaRQAnEp6jx+g7ftXczbve53StlqnRBtSJU8FUDTYr2sAIfJ5JxY7DouYhWaj+z2D05YWt9qU3WzFZbcTazhDdsQdt+0xA03EMeASgNxjY8dNXHP3uWVbsT2N5RSx71y0mLus7/KRylJLDt8sNiV7SaV4Uf+GU7eJbfOe7qwvpqiY8+HVcgk99mghxFn8CCkZ/gLmV9sOr1/MPfnA6tlzqRM8BN9LjsaUEBF5CBQyhxLv7LXR7bCUnNP2cTh0V7YhFjpAkNJIZIZmhy5Rm5RB1387AWPd/OyCToHzRTLb+9BWH9mxgTl5P0vavIfvwOirSk1Hn7nGy0Er1/gZNcMfGD9I/SHttILq934LdjlIyIPr/DW1E54vflwsXLhq4al+X7rzzzob/9+zZk6ysLE6dOkVkZCQBAQEXuNKFiz8PgQPvhOBQcpO2c8TeltrXRxLRpS+WsgKC+k1F3eXm5lbB/g9h3vgS1YdX0Nb3MJSuw4TjA7R4y3xqVeGUS+7EcJI4yYARh0+eGYdQAlgW9SQ9B06mx2+I3FvrOZk2uV+RrIgjsfAkRacPEBzfBzebFYpPcjThnyQeeYUy4YFGacfw8TB49ECLed3Wnyik1milMmQAKq0X5B0GyQxmPcnbV6E8tZpw0xEKiwoZVZ1PH2k/SuzYcFiO7BLkiWC29v6GtDOVZFWlIjOnEC/TNRurNf6IGUmNQKS92OnYPuUA+m34GyYagnYvyohbnv5V4+fozHSu2ed0LOD+NfDNEOSmEiwyEFhAlwVFxxypieJvRK8rw15djFloyceTGMnhm9rblkVK6vdk2kLob3+fMnQo1V50NieT2XkmS7JjuK3yc3QDnyfQyxvLhjmYJRMF7t1oW5uMRQKTzI0g/XE81j9OidDip9EiBj5G0qFdxK+5hdPjV9Cz16Bfdb8uXPwvcc3s5Vqtlh49elyr4Vy4uD4QSoi/kejIoVS/PgqBBbfjS1G4BZD603w8f3kbP4URzR3foz3yJbUHvkYtGZEJ0BNEl9J12Gl0ug+lFpv5NNHIG/zU1EAe/hTP2EivDg4/rOl1qRt+C6MSYtig+Bs3qlLI278Dhb6MvPSjxNhM0HYwPdkDz2Xjs/0tqg8tJc1zIH3eiiBnyo9EdB3u1NeYziFsOFHEqM7BoIqG4pPgHgh7P6T70L9Rk/QyHuZSRphXkEkQPnW2IDkgut4Gfe4nRl+Of3UuYw6/hNJWRa17Gyr1FnzQX/A+6gXydUkTy54ON9ywom5yUA3Ybc5msH7GPYAjuXJT8vHGnyrcmnk6Qn7uaQJ7XXgqOVnpWL6aDFiIkgo4o+1JW32S83QFRLQJgwe3UDO/H3KMyLEgZWxHWM0Q2BGAkm/vpo01mwq8MLWbTMrppSTKyjmFmqpOd9C2Kp0flOMZ7naS2LJtBE/7hvYeXnVpjV4lsO5LkbLvfSiB2Pr7yErH8vVkoqzZ2OzgJ+mx1egp/HEO8ek/oDO7Eb/mFujlLJpduHDRnCuaB/CJJ5645LbvvPPOlRr2d8OVB/D64Y+wJmlZOWQt+AtdOrYn48xZ3EwlxEipeAM1AjRyN4TF1NBeEjLW+d3FjeXfUY0dL0nCApiEllK8CKAML8nCOeGD90MHnLb2ruh6SBbM297kdKmZ+ACVI8VG1h6nIA19TRWqtyKQSY3JiS9IE7/GzTt2Mmz7bY6hACuCk6INiVI2Kepe9HxiBeQexGispXDNy/iYslBhxSYJfhT9mCztuCSBV18eL7ZgNRa7teGa+prBuXYIv1QnweuEegughOMeLmTltAnQTVtNQMchjdfXvU78NOD91QD0dgVeNlOrfVTcuZaA+AEAfLczlTGbb8CbWuwI3CJ6wx1LScvNpd3CAZgAJXIsT2bh9npEw1wLhR+22RuJiIp17ry+vGJVAZxeC2Nfb0xncx5bv32JIWlvN6yBJORsiXyCIZnv83LYu7xw77Rf5Q/4R3iOXGv+rGviygN4hS2AycnJl9ROJvuDPWVduLgCxEVFEDdnDQDKGiPvrD7IvFRH7VQPCdL9BtG2fDNCcrg+faWczbR2XqQH3Ev0zc+jVCmwb32D08dTKBRt2OEei6+5mIDITrS7FL+uX4tQohr2D7o2TTp9Xp1frYeXo3Yuzdy2mqE3W/npSAnVxhvo8OatDDPubhBhRqEmc8oasq2hdOwcQs/6D/GYoaQteo5cUzAJUh6emCi0q7hd2kFlXRLnS6Ecd5KIp8yuJUGRgQ81qGwWcuTB+EkFl7kwvz8CR4JuqxCoL5JcXy6B76IJVAqBp10iZfgXJA6ejD73GDG7H6QQH4Jl5WSJUKJaWIuUMQvpWSf+AG7pG0da+lTcs5aiVGvAaoTvpxOSnUKxXUuQTI9p9ja0Hl48KubwjjQPgBCpHD7vSZ4iGt+H16P1C3F0WF/NpvAo1uJT5L0+iHBbNkvcbqOPfw1uI59CLL8X1awfGD7zX0hz38GGHSFBDe4MzP6IZWIE/hFd2XCiqLF0ogsXLlrkigrArVu3XsnuXLj40xLgoebV2weTM1dLmKSnUCjIVrZlJxOZzCb0chW3y3/BkKJE7RHJuTVv0Gn6y6hiBqHNysC3JB3kcrK0nbEGDbj4gL+VFkTf+dSgwgczNSgoe70XQYYzlCIjsG5LsmLy9wQk3MT6E4XsOFXAjLQniJOfaxB/ZiEoFuFYk5ZQ0fZ+5w/xjO1YlR74UIUvZgwCQiQDkgAfzEiSsy9cU3/Ipmgw8q18GH+Vr0KDBbVkwgpESQV/SB9BcDzEFZdYWckOeNa1Tdx8L2faDkCd/jMS0IYyKu49SF5mHlEbJzldVyWUdEwc4nRMq1KQOOM12BkEJWlQmUlV9h7cJVDJISX0TnrWlYp78v47yPnkP0TYHQmkbUCIdI7K+d1BMvOFuJ2/St+SIrrSxceIsTKXcMmRXHyacSlJhV3psXAYp+Qd8VswBZ49TIY6gRhjCgYhw4MaTJKcSWznzdQ+jB79yK9fUBcu/kf4oz7zXLj4UxDc7/+o9OtKUIdxDB4yAgY8zmFldxTaAEpMSmSWGiRDNdHjn3JcEDMUsyYE7DCs7Hvc/CIZ3z3q972JOnwkc92/VoJrzoAEgZK9bo8OfFfeDjj8AeOL1hErcsmRBVGhDEev9OYs7Si2e1NRmE0HQzKjOzexasYMpVPXXlR7tKNapkKDIzikfvvTpPR0CpRtSfwBaJB4yfYJAVSgkWobEj7XTfEPQc0ltpMETqrYBk5pcIrwwP5FV7CDkCBH0w3NvncZsHGSkxehBcggDLfXI0j6/lmnSF9UWhj5T5j6OQx8BHccIlNpg44zGhP+m358hAC5gUrhTroIQi7AKgdvSY/cbuWv0rdIdkiUjnG8UoZHXS1ogcOHs6d0jFqUdLCd5LPwl8gpr0VtzAfqt77tKIHXZXfw19n3uNLBuHBxCbgEoAsXvyOqEU/h32MiyoTbUHsFcl/bMgb+Yzl75T1RYsSKnWxt18bIWqGk3a0vkmBNotyqZurRu6+bD7utoq/T7zKgRDSRHBLk5GShVSm4y7IYPVraKfUEBvri+eh+vB/8hTxtRxIGjGVAwbdoTyyh9ud/cvjdKZSWl2ML7cngmhUE2GspRY0dJSa0mNGySYzEKi5tHdSAp1SLG1JDcmglYJHLad377frAIpNj0UYj5unI6vdyqxvfaXYlMkCSezQcq0/cDQ5xWEAg7ZpcE2E4ivr4IuyiziIL5IbfQEHoaBKlLKw2SEz9CN3xFuq7CyW1eScoxXFtiohzigY3leVgRYENGQQkUK2JQabyoRJQ1r1EhAw2iN6EnleHWSXAIJR4YKGAIG4o+JLnlicTTAnYHUm8bciRCxt/e+wlIgJ9Lnk9Xbj4X8YlAF24+D2pT8gcNwaMVejDB/L6L8fpKc5gkHkhV3rQL87Zv0+r0bCo8+f4yo0s6fLp7zTx5sQ/uNCpfu6+4YsJmVtJZoyjOkMZGiq+vgNKzqKyGvCUW7AptKANhEVTiQgJZOojbxJ4+D1Ags0vUZPyE+76Aiq/nk7Nt7c3RL4GYEQ5YzE8eZqj/d6l171v8WPQQ5dsxZPTaA2rF0ZuNluzyNrrie1SBAa7Gu19a8CsJ/jgPMqFD5XCG9NzhaQ0ufk4mQW5BAU2Z39rO6AT7hSMnE+4osa5oq8E2BzrIgV3RfP0WaJG/IXgWV9w0GsUCjlkiEB+PJTZbG6lumr2HDxEtqo3e7TD6Pj0DqfzfrE90GLEHDuetN7zcI9KIFXdHd/z+mkj17O+23zyheM1nyMCqMUTm9ydQrc4vKmmY/UO5pT8nVqUIINSvJHLBNaZ64nwc/+1y+vCxf8cLgHowsX1QJ2P3fpTZYyrWkquvA1ePt749ZmO+4jmFTva2zKxCDe6Z3yCvqaqhQ6vPREhgZTcvQurHAwyGV123I2+vJDYGR9wUtkJPe5Ems+i/3gYCkmHVmYhL2QoUnUhTFvkiALdPR9j4myqS7IxDv0nHok3IxQqAm58Cj93FbV4gYCz4xZB+xvQengx4MbpRIQEcsdfX0I1t7TZvC4lzYEMLrlKyO9FtTKaszN2oQ2MgL0fUtXjr/hgoOz21Wg1Gnq+qkPn5lx9I1yqbhDFZhvIBagfP0ZUdSoBVCB5xVMlc67gUh3YE9W9P4NHALS/geRdP1MaN4VsoSFGKqFtziLniUkWDv33Lww070FpLqfjfZ+i1WicmmjSViIkO+7pq5jQtyPK6V/jP+0jpy8M5UJJmC2dWcm3UzzoBSru24ufkLDO3oDXv7KoFVoUkgEvLEQZTyGrk+senSageKEUbTtnC7QLFy4ujEsAunBxHTGmcwi2wK4Eeyg5FnEnvwTc02Jh+17p85FhoZN+PxkrX/kdZtoyEe26UqUIQmW344GR6i8ng0qL9wM/4Y2eEskDlaUKGWCXTJS7hXM6YCSUpELJafCLQXd8LSu6f8s6xUjcx71C7JMb8VErUUxfiFe3cZgeOU1JWVXLVVWEkuomj7VK1E7Cznq9qzwcgrVSaJodn/jiGnrFhML2N6HnbEK93XF/7hxx8QkNbfwmvIROOAs6AZQDSjm8FvgG+1Z9gHTgv5jsMnwNmXjZqxtEckVoX0rd47Cs+XuDr1/3oZOIMZwgUjJgAwZKp8gpLGnoX5e0nBtqVmPHRpw9m4DKY07j62uq0Nb59Klo/JvZ1j7NqdCJSEJJxZ1rMXt3wVdybMInbv8rvsun4vXQjoY60/mxt1MmAjGgIEPeBi16BErcM9f9ilV24cKFSwC6cHEdoVUp6Df2dsIHTsMQNdI5EKIpd69DCWQRjtVmvaZzvBB6s5XN/b5B1EVn+NSk8vU3n6HRqPkl4hFCRAU2HPV61ZIRv8y1jQEuMiB9E969ptKn5AcGGraR/uZwSkuKHBHIHgEw8X0yN3xAuVlByvZVLc7Bs0kiGp+GYmSOdCkgyBZXMWXOb0TCEdziKTmL23QRBKfXOcoBugdC0lcO14Hzvxx0mYx26ifUCq1TOh4/IBtf+oQKBqW/g10CNywU2RxehDKgBiWSsZawcz8gpf4M7yWgzzvN2SXPEJz9CwdFO+RAis2fTV88j95sRZ91BPdf/sIZEYEKG3m9nnekCmo692X/bIhFabrFHjj1PXxVdqyPnyYgfgBtHt/mfC/VuZjnd6Xsje7oS3LoM/YuMnu+wN7EN9gX/TC26OEOx8Hwi2S4duHCRYu4BKALF9cbQom64xgm9oxuNcBD2yaeQ91fw6oNpsan09WZh2RpVt9VbzCwe933rdY0XrDzDJk7vm4IqVVIMD3zSare7cWQMVNRCrtTupaO+iSO7fgZYkeCXzvocBPG4rPYzm5Bu+ExLAYDld/ObLwgfTNRQT5ocvcQ139ci3NIEu1aPG4HFHaJyLqyZM1uF5y2JH8PBI58feen240PDobysxDSBWpLoP9DrXSgZN+Js1glG8bzeomigpHJf0fY6/z8JAhu4jeYJdoRUHUcN7sZpV2PVJ2H4rM+dDr7NT7VZ+khnWWFuJFM0QWtzMq5pf/A7ashyLDTnhx0D52g/YTHnEob5pzYSeesBQ0RyWcHv91wTuvtT9R936L19m84ljL4fRCOpNW2uvXwrM7AbX4XTm5axJAJMxk95V5mz7oPdWgXR+WRblN/xUq7cOHCJQBduPiD0js2BCl6GL1iQy7/4hbEXTMytjsqM2Rsb7gmc9UrjdY3yQIn18DWfzsqe5j1xO/8K0+xxKkbpQThFGL7agLC1jxMo9feB5HmBlD73TTMi+/C8+BHRJhPYkBFuC0bn5nfNrQ1mk2kHkvGU2Vn9Q/fsWz3ccxbXneMX0ef53ZRcV4imBockb6tYQeqUF6wze+FWeUHgx5zCOS4MS1b/uoo1VXTOfVNymVe6HFnqwhstd+m8jBPQGdONQSCNLSRnNsPZy+eIbEkBlgJSv+qQejLgADRPIY6eNn4hmvt2jDiRt53wXvtOXoWYq4Oy/0HsCh9sdgb55l4oEmlqYzt4O4PYd1B5dFiXy5cuLgwLgHowsUfDL3BwN413yDPP0y3rgmoO4y+/E7OF3ctETMUjFWNW3oZ24npNZp2+iMkDroJdr0Hp36B3IPw6QisX45nCIedUqnU6wcZECjlI28SkXF+ChM1jR/27oBGqkEr1bJtg0NQHjl5jOofHkZbeZaakhyC8zcRsf5edh4+ztGlL6E3122Fq7TsHvWLU98tSYT60Bk7oEOOL5brLhdgjQDNkynQ9VaIv9HJutYSa35czKs8gBcmPo7/jBvmpiPm6djTec4Fr1N6d6OyzVAQji1oG7SYGNE46HnG/N/rhMT3w1eq+2NKjr+l9GEPVv64lLx3hpH01kT2zAlxCMh6a/CMZZd839o28Wj/eQ5l031sQeMXlpihEBgH8WMd1mMXLlxcNi4B6MLFH4zk7T/ik7+VrNwCKD55UVHQIueLu5aor/5R33/MUDR2M52mvoC24ABEDwTJhKU4jerSbGSFSdSiRiWguttsTg/5DwKHmLBLzZMzX6yqaH2t3slnXkKa403k94NQSXqirGfxMOZSazKTbQtAqcskp6yWzclnHAESZj0Th/RmVcL7LfabaVeTouzGIdELKw4B6FNn9rreKp0qH89otR5uS4yfNJ1OkYG81XkFf5s0rOG4CIi/4HVB5Ufxyd6OXQKZBMUtiT9kbJYSWPblPDw2PdNwPB81KkCPggkpD2CryiOk5jh9MVBfad4GSJ8NRH9m9yXfi/7k5sY/iBxOd3mMo0teYOH2oxxd8gL6NgMuSRS7cOGiZVwC0IWL64FL2ZKto/ugceAeQlR4aOu+YBfjfHF3mdck1fpQ9vlYpCPLMVZn4ybVYkCJGomlQ7exPvJvxISHcvzWdeiFGlldcuGmKVlEk//ohCC/WVY4Z7zs4IGFKpSY7QoqhB8HFH1QuPsjhIKbDt0LKi9HPVnglltnkdLCcpZ59eZQ97dpRxES1+9DMMNOo1Wznou8TgK8Pbn/ngd5Y1ovAjwcEjpp60/03X7nJafDATjfqcAOCOz03TWbW7L/43TuZzGWlYxCJROsSfwMuVc4hR5d2I8GmQxMNK6x24KbSFr60kXnkXNkI25LbnHIcgHijh+wWyW2GOII2/MCJ3RunFvzxiXckQsXLlrjen32uXDxv8WlbMnWIc/ZS27AAPaYY9C3WvTs6lCal0nuaz0I+uE2fOqOaSWwIENCcDZ6OrXpO9mfUcE6YxcSEvrjPbcI4sajF63k2pMgSQxgqZhAut1h7bICZ0Ub7DQvfRZCLYn243QJUPHy1F6EBPkx2LafI+VKLDvegMQ7AVj/0zISW9C3pkHP0VWZgZt/G+Ti2j0C7YCYU0B631eouUjWwTzhiUHVkeyFDwMOIbgyORdj2hZQqMj+6h46P/sDq1NyLjputy2OIJqWRjwac9clzd0g1OSIEKwImkrSw7Y2RClrGDV5Fm4vFDNp0lTaPLGVnk+uYsC8QsQ8HdpHDjsa11kVE4+93az/ppSWFBG28lbA8QEldbod4m/A2OlWbsl5mVPt76ezt7kxetyFCxe/CpcAdOHieuBStmTrWKePIz0nn5+q4th4LBfObKK0pIgtL45DmuPN1uX/bWxsrIIVD4JB17yjy7A6luqqWfT563h91pNikwqzUFNc9/goB1KIp0gdTzt5AeNMa5nglkLMifcwb5wHNaWYfdtRpEkghTbN+rYA3m4K8I6AEa+gR0WVTU47KY9c4csxRQ9SRFhDezugBfoWLUW++A6iMlegLjlBnDmFZHM0Z94djzTHmxsOthxwEPbLWAaMmoJH37spt9labHM1OC3iAIjoPgql1h/TfTtabdtGqsbq2YbIGe+zactmpHlhHE/exXp9PBz8AlPWfv4iX8FjS45ecMwjR/a2+pDfGTCV7jPfRBr4OLYL7H2XClBO/gjfR/ayN3QmqSKWcuHJ1z2Wku41DINXW1LzqlvvINA5Knuv/02tj1VeTtWHg5qYimWoJr0DZj2RK27mnBTI8OPP0u2OV5xKzblw4eLyuT6KiLpw8b9O/fbqJTC6awSrbTfRFxijPQlqX7IXPsxQ6y4Ahhx5Gibf72i8/p/gEQxrn4ZbmghDyeII4oge6LA6XmBsfWEG8v8OYxJGyvGlG6f5YeAvTBiUSEHyajZt2Ui42kQ7wwZEXi5hcTdgKduGzVBJTW42lt1fUyn3wSbURIoa9JISlbCgqLMIKQFP/TGm2VOQDkdyaODnDNk9CwmIkCrwEKDpOR1LdH8+3XCEhyobLUhNdYsG6Gk+dNH1ayuDH39ey00HH2wxOORq0UFKw7z9bdj7GUqbDtnnQ1ptaxSCHo//AEDfrV2plpQ8k/kgS8LXcSr1ML6eHvSoPst7U7u12oe+vJBOy29s9XyfBxw+kkqVG2b/biiLDrfYLkCC1OX/QhbchRl3f4bWw2F5u91sZU1YLP6l+0kYPvmi919P1IyPWz135OvHGCYVO3JFChD37wKhxLL0btzkgk7kkHf7xksey4ULF63jsgC6cPF7cBnWt/PRqhRM6x3JtN6RqONGgLGKyBnvYxSOTb5K4Yah3ndszCtQXeCIlmw6VsZ2iBoA53Zf1OoofTEWD6qxYSFQVKO49XOmRdeizd1NRdYxblIfY5BhM0IuRzKVIaUsITx7DZElu7AYy/CzlxJrScfLks1hYhFyKMaXppkE46RSAmwVhOuOELd7FtAo7nylCtQHPka5dJaT+LtUMvHioOjqdGzCwZnXPODDAmzanYLSokMutV56TgKqOsxoSG1zYOi3BIkajtoiGLRzBu9Kt1Khlxjw9BomJEa0Ol7Fp+NbfcCvF/2dyrW5z1rSSksHHcglvmgdu14fz5GsYsDxOrytbzuGjrujWem380nBUa0kHS8KPhxLTk5Wi+36V63FiOODabVmKnj4w/u9MJ5LQibkKDxDSIjveMGxXLhwcWm4BKALF78Hl+Hzd0HqLIcBgcEYZu9Bp/Dlx8TF/HIkm9zTydSufIzDx09hWToLaW4A0hxvjs2JxbDgNr5avoJao/GCIrQ0LxOlpQQkGyqUiGnfQckZSioqWbDwEzqlzsdfdxKLuQbJWNssdUiAVIu8bpc1hCoipSLmWO5GjwdZMuft4Hp3vV+R1fCCtKWK3tKxize8yiiAkdKWiz50BWBSaB3BLGY9Qyp/4DMxiVC5jh+kwcSTg2n2RkdllJaQLCTN9Sak9kyLpw+Ibtw017l8Wm5Bbosh0HYcKV7kOATrEI7x5bffXOQOmhP10DLS5JEIFCRIJ7F8MbbZ6y7nTDJWrA3R38MMy2DRVPBqg9ZSjqTyRjVr5WWP7cKFi5ZxCUAXLn4PLsPn71IJiOqE+tl0/KPiCSw9iGdlKqXnjpIgHWkQYQCdKAEkZug+R7n3bapfDSfpjfGOkmv1SBZI+hafz3qgkxTIgLNokb6dinHLa/itvpcZ0oaG5i2nJT4PCeLI5Q3xGbFSDh3seVfozv8YyAAFLfscnp8TMezYp+RETybj9QGcLjXS37uG12T3UuvXlamPvEVCVFDrA2VsJ7GVhIYWoP+cLc2O+yye2Ey82wTkhI8l544t1AoFVuQsEcO4Z+alBY40JSAwGHHfRkKoQo6dKCmPjHX/dWrjs/BG3KXG9fGUQH/Th1hyD2Htchs+7fqgDWzd4uni2lMfnNQsWt3FHwKXAHTh4vfg16RhuQS0KgWTureh9/CJVPt0JiC6G7vUI7A1eaenEggo6hz/7WgliW7VOyn58EYqX4qmNCsVMrZjXfsMMmwECBPlyImTKoCWK2rkNvm/EbDWlf66EtgF2OV1/QmoFBeOoL3aXI1k0dJ5j+K9ss4Uf3M3VZLAr2g/NjuI9jcQP3QqEYE+F+xr6fbWc+0ZBDAvAOZ6O37qqPZo69xQgFLpQdvZXxJJKckDv0A+/BnumrP0wuLzAvj5+rCTbg13GnrwX41WQIMONRKSaCxEkmZTIf96NEmhMzCnb4XRL/+qcV1cPdafKKS8xsyGEy2XV3RxfeMSgC5c/AnRqNWExyfifvuXDH1uJWsmneDr0cmsviWVrvPS0cwro2bGRuwosQI1qImVMtDbZGi+GkbS11OQmWocakeCAGwNSX2bWqs2Rz2E5Y6lRM36AXHvL2wLvZs0ZRc2KceSFv8Q4rlsTvoMapbK5XzyL5CkTiaBzOaYhx3wkS4lo93V42r4DhqFs2VwkHQMo7GIOOksgdZCOldt4p9nJ1NbfGGr6U+LP2JK1jstT1YOrcXN+ty12FGvtw47KvjLXlBpWV0ehvrYQn5yGwdCSWlJEYffu83ZYnwJvLkmmVwRhYX6vII28t8fTWlOGtXvD8DcYRIyuRvFcbdRLHyIUcowKH3pmr8ExcQPoCDlssZzcfUZ0zkEfw83RncO/r2n4uJX4BKALlz8D9DSgzqgfR/c5paSdfcBSkUI26IexotaaiUTiec9GYpRIJPBL51eRjNPh5hbyrae71JWVsmK4jCwWcFUTcKMl0kOvZUYZQkBGon09yeirs6ktgXpMT/qPXb3+YCCMR8TJGu0rDWpHtYM2SWa3wxAtgjk8kNsrjzFPf/GcZnPBdv4tnBf/UQxbtiRAwoJfCUTkw5Od6p77IRkYdyJZ8871uS/Sq2THtQDPx3JwyLZ0PgGUzV7L7UKHyxxN6J4Oh38IgGIz1pMhqYLcVnfA5C98GEKbd4NOQpbm8v5QU6DTr/DXdKPbBe9kYScCtwJKjuM76e9SRdx2LL3onwiFUP+aWzoUUgm3MwFkDAds7Gab3anU6q7QLoZF9ec+h0HrcqVUOSPiEsAunDxP8CFHtRx7eJpP/cIUf0noJJM+J93/rjck+K7kxDzdEy4ve5DP2M7tYXpVKPG/8RXoPUDuYIAb086hAdi94nk6OlMCu3+eFODX0PlXQf5Pt0Z63aSXsMnEh4cRLYIRgCFeFIr1BjrNpp/zXbrsviX2R04E4G92fXXwnZ4/pi1SV+zvcuHv7lfGeBFJeZfnm1+UrJQ+cMjTofOz+2n6norDHkK5pTCXB3rJ56gvMbM2WKHfTYgqhNeL2ShnrnEqfxc7M1P08HDxBLlzZTWGImc8T4hch2RM1outVdaUsSZed2RFkzh7IdTSH9jGHs2reYm6wbAzgjpINX3H8ZbMjZEQnet3MLyngvRnd2D3acNIZIZyQ5uEmTpFaxMKSLfpObnHxf/ytW7zvkNWQFcuPi1uASgCxcu2LziS9otHu1kIbIDOZE3kjDsbyS0i3a+IGYoQ/v3Qx0cR8/pzzsFtCQOvhmZRxDd4mNAMlPrHYdOOGfcC5ZXEnl2AXt/+pwD65cQLRWhR6ARcuyRg7GiJMUecdnbrTagNmocbho32kilDRGl9ZzvPWi8zP4vhfPn3JYa7j8244r0LZOAw183s4TpUjfifmxRw+/Hld0goJPzxZ0mwtCnGvxO663C7YIunA1R6+HFco/bKdbLeW/jGQICg+nx2FICAlve9sv5YhYxUg52ILpkOwajkb7bHdVZBGAUMrxOLGDT0B+owQ0r8L7iHtae0rHyUDZmXQkpIhwhgxTRnuibn2f8pOmEqS2MmzT9cpbrj8OVygrgwsVl4BKALlz8j/PVt/9lWPLjTseWtX0GxZwCouN6wcBHml8klHgn3Mysux8kwM/PKaBFW3CAjtGRVJeXoIjoQZlXJ9wxOV1u12Vhw0ZC2pt0L1qKHFAjscljHD/neVLm04UcvJuPexFkgC1nF4PzPr+k9ucLxKvF5RbsE3csxCjcWz5nB9+3wvlmyXcNx946qnR6mCdMfRrlvc6pXsjYSeUvL/L2f94hp6QSrUrBhIQwlJdQDu/xUe0J9lLz2Kj2F2yXdPw4XWv3YcTxtzgWdSfhlqzzrKIy8tKPM/6G4XjPK8Z42/e4te3F/0XkEhHgwRltT0S7CayZdISOz+1D6+FFgLcnd911PwHenhed6x+Sq5AVwIWLi/GHEIAff/wx3bp1w8vLCy8vL/r378/atWsbzhuNRh566CH8/f3x8PBgypQpFBW17qBssVh4+umn6dq1K+7u7oSFhTFr1izy8/Ovxe24cHFdoK+p4sTi55mV9rTT8fIx7zP9nmcdgi6s+6VFKtdtYZWWl/PN7nTOFJURkb2cHmffIzxnJUg2Jwko1aX7kMm1DQ8hOeBVeZKB0i4iKg8wQXb8gkMaWjgmA+45+bCz79vFZ3/90XE8amov2OTO4w9RMieAL3/czOyMfzRYM2sEcGYj/PyEU3vp1GqKjm4kvmYvixZ/e1nTCfBQ8/LkrgR4tC6Z9WYr2iUTkQFuQMXdW0m870OyZ+1A1sQsqpRsVKobc0B6dxrFX/v6MzLen/4jbyEotjtxt77AxJ7R/zu+ZVcpK4ALFxfiDyEAw8PD+fe//01SUhKHDh1ixIgRTJw4kRMnTgDw+OOPs3r1apYtW8b27dvJz8/nlltuabU/vV7P4cOHmTNnDocPH2bFihWcPn2am2+++VrdkgsXvy9mPdVfTYEq5y89aaou+BTs4MekTIxpWy59Wyp9MxQco/KLKejP7SXm8NvIJRASBEhVCOzUCof1RsIhEAzAVr9bGoRLpR1GyZKJkIqbpZqRcGzvmgAdGtLkgZdsvfu1UbtX018wRcSy0NYfgBaqNAOQwcWtXX5YuCvpFoLNmQ3r4SFByek9WCuyndrmqWMJ7jaK0x79uWP6zN8w+5ZZufRT4iitC+KRE9CuBwAJ7dujvH831KV4UQJHiHVcZNY7ShLarKD1Q1twgAE3Tr9oZREXLlz8dv4QAnDChAncdNNNtG/fnri4OF555RU8PDzYt28fOp2OL774gnfeeYcRI0bQs2dPvvrqK/bs2cO+ffta7M/b25uNGzdy2223ER8fT79+/fjggw9ISkoiOzu7xWtcuPhVXE/O3U3nsvdDfCM7E1pziiViEgDvah+jY+eu7PO6EXXOLtbr4523pWpKsX41gdV7j1Kqq2b3uu/RGwyO/vKSMB9eRFhtKg9IP1Kfz9cq5BxTJ1AqfMmftpbvu36EwCHo/CQTI4q+AgRVqPCpc9A7/6FkAfSosCLHjBwPDMTaSpz8+YyAAdFKmuVfx4VKtbVGir31lNhWoEK4Uy68CKGCyfLDlNg98AZMTilYHMRI1S2K0FLRXJyeL4Y9a89QZHZzOhYw6xt8JrzM3x994qK5BOvR68rI+nwmel3ZBduV1hiZfvpZJJtDcC9JOG8Lvk0Xzk5cgV3IWeR3P+On3OV43ax6CE6vheyDri1QFy6uMX84+7okSSxbtoza2lr69+9PUlISFouFG25oLGbfoUMHIiMj2bt3L/369bukfnU6HTKZDB8fn1bbmEwmTKbGjayqqqqGOUnStdtokiQJm812Tce83vnVayJZIHMntB18dbZf0rc5rGjp2yB2xJXvvxVaXI+mc+nzF8TeD/Ee8yzT2o8C8SWPA5JkoeeZbWw09GBkp1AkVUR9h/DDfWRbvUk48A9+TruVQKFH9kYUZp8ocj27EV6egUyAQaZAJWCJahLTnv2U+iq8YUCXuE7kxgUSuup2LICHZAdkKLEhtfI4kgP77F3QKuz05jh2ySERm/6llThEYJnwwE9qObRDkimwIUeS/fbH3nZ7O7opsvE6T9h3lZmZK/6Ph1mMj+S8hSsDvGwmSoQWO2CRCbxlRkpxx1dmQmqiOCVJYqOiLyOkpGZjG2/fiKxtJw4teoHuGS37OsptoAmLQyra23DMTaVq9v642PumaNkTVAg/bMueIHL2l62uxwc/7+NORSCRUgXpXe5jxuRJSJKEoaqckh+eJHDKW7TrNgy6lXJH3TXZmz4gOPUnLNpwNNX5EDO8flKtjnO1cT1bm/NnXZM/2/38GmR2u/33zap6iRw7doz+/ftjNBrx8PBg0aJF3HTTTSxatIjZs2c7CTOAPn36MHz4cF5//fWL9m00Ghk4cCAdOnRg4cKFrbabO3cuL774YrPjBw8exMPjwpF0VxKbzUZ5eTl+fn7I5X8II+5V51evSVkGKNzAagL/mKswMQkqssA3CuRXI4VwK8O2tB6/dS5mPbbUVaT7DSNSVYXy1Coctig7MjvY7SCTQYUIpCa4O27+EdhS1yC1v4m8rDP0VGWh7DIZVFp055LxPLf+kvZZ65tIyLEgR4X1krd1HfKy/v9yyj3j8KtOQ3ZFbYWtj/lr28iHP4PFYqFq73f4So3+zAbfeNy9A6HtIAA2HDjKiNpfLrqVYwHchj/T7HjD68TbC3neIYjo7fRFyGLUU5u6HvdOY1Cqna2bFsnG2eIafNSgOfIN5TI/gpV6tP3uaXh9VR5eiUGuRmMz4tNjcuO1hhrE/g+wIEOJHfnAx0B5rUJyWsf1bG3On3VNampq6N27NzqdDi+v1lKk/7n5w1gA4+PjSUlJQafTsXz5cu666y62b//tIfMWi4XbbrsNu93Oxx9/fMG2zz77LE880ehYXVVVRUREBO3atbumLyBJkkhPTyc2NhYhrp2ouJ751WsSE11nARxxFR2wO1ylflugzqIptR1IOrSwHr9xLp0TiE/fAuoQTIp+sPlZFJLDGieArW4jKBn6LB5qBdE/34oNCXXuCtoovDHZBbFnPmNZt09JPPoSsVIxFhpLy+lpuaawre5HhmOcphG19eM2Qw5FNmiaqESSKbADMYU/I+zXpnbp6nbP0LVkPbaKE8SI8yv+to5o/wUAx1T3ULP4XqwqH2w2G1391HhEdoH2jmjcNosG4nahjlrosykN75uitQh/fyhZD4Mfb7SMdxoMXRNa7O+nI3lUVmYyOnk2m0RXEsjF/6GtaHwbV90QfF+DBVDj5ec4aDZQ/Z++mE06vDGQOXkV7Tt1bXGMa43r2dqcP+ua1O/g/S/zhxGAKpWK2FiH43DPnj05ePAg//nPf5g2bRpms5nKykqn7duioiJCQkIu2Ge9+MvKymLLli0XFXFubm64uTV/3AohrvkbQy6X/y7jXmv0ZivrTxQypnPIRSMCf9WaCAHxo37jLK8jMraC1huydyOXR1zx14jeYOBIej7dlPvZ5Hsb46xWZDhEWK2A7IBBGCqq8U56CZNPNG0r91ITOYzMvEoG2PdTI7lx6+G7cKuzwAkgAzdiMOFJy4LODtS6R2M2VhEilTudO7+tDYfxKYdAIuwlzeYvx4awW6+JADQKGVPu+gelhbdTtmAm+fpsIqRSpzYtWQKNgKrub7Z3ybu4W0MZZD3CfnlXrJnFDLv1RhCCIyeP0aXJfZyJuYMOs+azZusuxm6f1Gw+m+cNZ/TcHQ2/63VlFC17AmPiQxyq9aeXlI9qyGOO90T96yhrlyM69Tz0ZismCaYduRs5Zm60JVF846d4BIQ5tdl4zsSYWV84vXfNu94FYznuSGSrO9Gh26BLXtNrwf/Ks/Vy+DOuyZ/pXn4tf1h7rs1mw2Qy0bNnT5RKJZs3b244d/r0abKzs+nfv3+r19eLvzNnzrBp0yb8/c+vf+DiesBVbPwyqc8n1nZw47ErGIiSvP1HqDjHtkwDVXu/dBIv7hL0z/2IGw7cxREpAmtlIZJXJFlZ6egDunCStmgxkU9AQ4k2AxDTJEGMALaJAXwdPqfhmAI4GD6DRR0vXk1DDpgl8Jecxd9pAhzjyRTNKmRcDWxCRt7U9QDkJa0itvowEVJps9Q1MmCX6MwvkY9hxyGAT4nYhvMDZs7BVxjYJAYTactnWdDDDZZqvyW3kCk5XE8Wiz50mDUfhJLxNwwnqW/ztRopHeHI+s8Ah5DP//RW9JlrUB/8iF4H/o7Y/jrSvFCkOd5IC6YgfToK88IpmOd4O47N8aaq7l+3ef74bP0XCsmM3A65sjaE95nsNF5L790jO5chdr9FCSHUyLzxvfv737bQLly4+NX8IQTgs88+y44dOzh37hzHjh3j2WefZdu2bcyYMQNvb2/uvfdennjiCbZu3UpSUhKzZ8+mf//+TgEgHTp0YOXKlYBD/N16660cOnSIhQsXIkkShYWFFBYWYjZf+jaNi6uPq9j4ZdJSPrErWGWg+9BJ4B9LQkIPbi35xOmcBMRTSHtyeZAV2FGhrkjHi2o8C/bgIVWixMZZeShbvG6hUnhRIAtw6sMGfOr7CMkew52Ojzn9Ck8cv/2S5qjCeStZB6jqRKbGbqVcurobH5mA5ZFTxHXowZlVr9Bl33MN585PbmICBkknuCn7PcAhCBUzGsudJbRtw8inl6FQCvaK7oTrUhrOlU9bQZSiBjswTmQ4/c277X+oxbl12fWkQ8C9GkLbqsO0v4gYFpKzlbVpaupR1SsROM5HSLlIcwN4/5156GuqYPubjGnv5fTePXIimS4b7sNqgRgy8Px7EgEh4ReegAsXLq4afwgBWFxczKxZs4iPj2fkyJEcPHiQ9evXM2qUY+vu3XffZfz48UyZMoUhQ4YQEhLCihUrnPo4ffo0Op0j41ZeXh4//fQTubm5JCYmEhoa2vCzZ8+ea35/LlrHVWz8CnAFqwxoNRr6j53BxwVx1NY9PuxAHp7IcAgYO+CNnkQpBYFEPIUMkp0ggjLMyBlsS6XAtweq2OFEy8sa0h1bgaeke+lmP8PguEC+dbuz1XkUCe+GsS+GN9CWxtJpAVz57d9iVRS2blMRz2UTO0+H1i+EMyvmEXPoDaQmk8xocs1O0dfJf0+GI1gjob1ztQ2tRsOEMTcR5OXOfYPbNhxP6NgVu9xxnVYq5dGX3+RIVjFHVsxzyqO4VnT+1fclCedo69ZSU9d/kPy14i3cXo8ge8PLaA9+5PTeDVt2M0ZAIYeshEfRevxvOt67cHG98If4VP3ii+bOy01Rq9V8+OGHfPhh61tETYOdo6Oj+YMEP7tw8duptwpeQR4f1R7FYQUSVixCYMaHo2GTUXS/mbifb6cWJe6S3ilgQwnYsfFPcT+xFglL7ka0kh01sFn0Jvr+JSRuWsG4SdMdJb96vId53neIFrI1BEuOL3Pn+88ZBGhaaH81Ez7YwxIJnfkDeASwestO+mydwWmfoQys/MmRF08OW6L+ysAZ/8LXYGDLklfoPu2f9PHwwvBqKBqpcdfBDUg6mkLPbolOYwR2H8csb49mIr5CggAclrq3pZc58Pli+pLu1Gb8nO3snDeMAVLrlVUkAdaHT2Pf8z7mw4uxqv3wHPs86q4Tndp5Ab+8eAtjrJtb7qiONnKQtrzGLynpTHj8c/QGA+WiDRq7gXxtB2JunnPB6124cHH1+UNYAF24cHF9EeCh5sde36EXWva2exp959sxawOoLStDM7eUDUN/plCENfO3UwFvSp8wJP9dvCU9dhxbiB3vX0BcG3/neq8Z26kY8c5lzaup+Ku389lovRrIb/0aaAYUf9kOHo6t7D5bZ2CQ5Ays/AlwiL+UIZ8xavZLaHN3E+Dtyai/vM26Q2nkzOuCrVnNE0hcNhTjXG+OJO+ktKSIw+/dRml5ebOtfb2ujKYb6DJoJv5S1L3Z9/0r9D9P/CX3epfing+zT3TFItRIDx5G6xdCQepO9DawSBbUnW5q8Z5vemEFYp7O8fPgboRai+nuDVS2UPH4pvJlSHO8Ofn6cNI6PkihR1f8H1zlKnnmwsV1gEsAunDh4ldx29jhbJt4iAG3PkJcp0TwjyWu/zgWH8xGUnlgD+uOudN0ykXzyPmOVAIO0fJ/4hUi2jRGjzbUFfbsQOGWRj/DGuRcThhL/fbGhR5yF8vXdzFUwJGDGx2/SBbOJT6ORkjo6xSnTYDX7reQ5gWQt/A+iufFIc315vadY4ilAHep5U1VpQRdVozHa34cCWXryfrQuUxlTl4+Fe/1J+cCpk29UOLhH0yP0+82u8+qmlJOHDmMXK4iVx2PJsDhi5fVdioSCk7G3ndpIq1NF/hnAS9uycMTM3oUDuF9nuJOlE4SlL+TsL/9gtbbFXDnwsX1gEsAunDh4lfR4J+p0aBuP5z+2nz2HT9Du+2P0XHv0+SHj8ddISPwuXOIuaUYgprnk6sU7rzwyGz0Zisrk3MprTGye+NyKq0Kcv47ni7S6Ya2R8b8xLweuzgrIpt49F15UsRFavA2ETc2oMtPt1J6bAPGtC0YfdrjfcfnaOuEmVyCGE6DBCFSBf5SufN+9HlCqUI4h4nUn06UTlE5J4T9+/dQWlIEnw1lrz0BlSqITaobW5ymVrIQm7emRetn79OvE2LPo8qmRB/cq+G4QuPNoYDJKDWX4Z8nWXgm+0HMyHHDyvFpuzE9mUOK6NTQxAR0K1nl8uV14eI6wiUAXbhw8dvZ+S7kHWbUoQeIrTlIO0safWu3wMT3QaUFocTjvtVYzxM4Z9rdR4Sfe0PKkA/WH0OVf4izC++lm5TZ0K5IBBCYtYaB0kEWxLyBRXhQ2mLa6N/GaZsbHR8/0uy4vumjUnJY9uw0PkB9l07lzWQIOvgWb+1xzvWXQTwIyBLB5Io2Fxw/YG4hx+9JZYkYiSSc7XZaDPRaMxbf+XEcIZq+JCHDxg3mdZe9la21W7EhCPJQ0yG80SLXe+RUQmIT6TVy6iX3ZTy0EHdhRmAjVcTRs0sXtB5e9Jy7F9PTORwKmQIoSOv7yhWJRHfhwsWVwSUAXbhwcWEuJY+gDMBOWY0Fq0yFVZJQdpnkvI2o8cY+/h0MdQlYbQLan1uE3mxlTOcQglQm/vn/7d13fFRV2sDx38zNTCZDeg+QQEIgBOmREkGRJl1AbNhd1FdlRXBdRRSNoqKsLpZlV10RxLU3bEhXmoi0ICWEXlMghbRJmblz3z8mGTIkQIBMCnm+nw/i3Llz7jkPM5Mn556S/ije2dvpqjudRNkB1S+KZodXEGzZy1h1GSWYyCQI7RzLmBQrHuyOn8j+FiPZ2PvtGjV1i6EfT85f6nJsRtznpETeyX7FcZt0h9KJAnyr3FadlnIz7Yq28vihh12Ot036AyUpj5ikPWwZvZT5bV46/WSl3sDC8uS4S3QLbkv6BmPSKTZev4wcfDhOM5eevGHqH4Sp2YSWLyytA04pPhRjqNEmd3agDUfpMPB2DIqe4vIeWBQDVw29FbPXmQvWOGTlFTD/w/+Slefog7Uc3Izh50exoaEoCkETvnI53+ztS6+JH2BOyqBLXBuXSSyW4mLWLf4US/GZqyMKIeqCJIBCiHOryTqCfadAiwSM9yzkqG83jENnQLshVU7bcsLO0fAR2BS9Y7kY9SSr1m9k7+GD9P75OnJyc4gs2uGSxKQpIWg5B0kui8Tr6Do4vpVDtKaD/ii51Uw8qFhW+hTexBRspjC0G91Nx2rU1PHqUmZnPehyLKmXBz0nvE67pJ2UTsug+MoHKOTst0grj5zLUDxQX2oJGbuB8nUtu4wlXan6erNazLbNv7gc692jJyEzjnFy/Moq51dOCHOUIExqEV5YncvJwLmXbSmiGfa2jn+jH7en82vqSX7YlnbWdgH8tPBjTKf2sWjhx1jKbCgfXoddc8xePhbcl8jIVtW/sJr1KbeuWki2zUTyqu/OeU0hhHtIAiiEu9TiDhz1qibrCBrN0O/vBLeIpvuUr/C78qZqJxF07T+OU1FDKRn0ujOBuW7tOMo+vgNNtRNQls4xQl2+mALteZgopZe6iePRN/Fn4CBijNkcjRpJoOq6cPtBLQAjjo61CPUUP6V7EudThvHKe2vc3Mo9e3YFRzu+ewTKLOzatIZuGx4lVK1ZQhmu2sBagO09R+wqxk1m37KI7DPO1QMdF47hVJIfWYd3nX6izELQVzdxRB981t69QDUbU/mzOuCo0pr7gxew238wabf+SIniWWUCTZCai/HVKI6mbAS0Gk2IGdO1OT4mD0Z3bc53/3oMD9WGzg4l6Am/c14NSjitW78xBHuU0rXv8MvjcyJEIyMJoBDuUos7cNSr6nYXuUhmLy8Sh9+OX9+/oGJwJB3WIor1/uhQyVX88DD5sE85vfNLgd4TL6wUGUPwTl9HVNZajMUZ+B5y7RXLtENzXT7ZeDuTy5GsYWbhKFj+7EXVNxNQF1xP2Z9fkvlyB7otvQmqXbyF6peXLs+qdNYSNif1BtWKpbiYwsM7ONtcWB8VAt5PRJ3ux7y3n+XU4hcJtKcTqCtgR7MeNap3C/sx7osrpuffvoKI7jxVdhd69GRWM2u4RcYKBiwdxg3KGkZ1DDlnuX4dhzFiQH+szXtxc+6HqJqjicdvX3vBs3vNXl6O283pf4DJl7xdy3j62+1kFZZcUDlCiIsjCaAQ7nK+nrPLpYfwItnuXYGGghrSmT72PzhiiMccdx2xbWKJUHOc54WpBVjwRG+3UVyYR6x1Bz4U0wyLS3k+eoXslgNQKxJVPRThxeTBbaH9iIuqY4QKmh0UbASrucDZV8+vfNy5g4Ye5zi/rmoKzGzFzsX/5USx4tKbd+AsszjuOvEmPhvnoKlWNBTalGw8b52LdXrWxvyNrv0cizg//eEyZikfcFz1J8SooDy+mx1D5zvvIZfpFAzqKfrsnM7uV/tz8o+vzv6eVAzQ6ipy591MhmJE0cEBvy60a3vxu41UfE5e2xtBdl4hP339UZP9TAhRlyQBFMJdztdz1gB6CCuWX7GU1f72aOdjbtUFj1sWoJz8E7DT1b4Fz2a+ENaJvX6JLjNbAyhEsRXSTkuhOfkYqPrlVaT4oOYcowgvitGj2sEY0pZgCtn00//OWZcixeOsE0p0muuC0aXVnFO1Y01HKR7Yz1jyRbUV0X3bdLyS33Kpf4tns1Fm5LEy5q/V1sEb8MFCs0rl/aRciR2q3BYu1Xvjt38hW/ccxHLyKO/m3cd+ewDNjXlYH9wEfhF06TMWJSmPssf3c8qvI82wggpd1BQCf5hAWlIL1n87p/pEbMUMWll2AX5kBiXQdtLiautcY+Wfk0eviydRt4PRvds7PhNN/BckIdxNEkAh6kst7tF7sSqWX1m6M9Pt1zoz2bTkZXN43acuCYyyZS4lqoIh4gqeM0x2JlYaUICRIDXf+aV1Zr6WZu7Ebp8erCGBVK0VGfogvinqjuWtXnQrWHbWehV7NEPfqj/HI4aQHH1XtedUHh/nCVXG01Wuy0H8ONbvn+zRt0JV9NgVsCmVz/VgsH27y+sr1scbfO9LKDPyyL1vfZU6VM4l7UBu1Fj2tbieQ8FXU1q+ZEwpoFPLiOMQ3b+6Cs+3OpJpNdBGn8uquCTM4TEuZXo18yG82zAKWw91aUQYpfTYMg01KZjNX7/lPG4pzKdk0wJ0HiaClGL871voGP9ZC4K9Tdx9xz3460sdn4kG8AuSEJczSQCFqC+1OLbuYg25Ipwgb0+uuyLs/CdfojOTzZNfTuYkgeygo/McO2BY9RyxI//OaJ8UZ07iAYSQiyeqszeuSs9Xx/Fcec8/2NP+rxwPvpqluq7cUfABnsVZnEtBQAeUo+vxyNxJRNEejrUaWeWcZNo5E6RSqDIG0Fbpm7QlecTk/kGnhGsowodivEn1TMCqM6P5tsZ6xmjB5Go6uIpPHXc9oMdlT2S9ArcdeZr9J0o4kAfbw8aTGdyDz5pPI0cJwUQZxvJIReotGFBpHXOWGbqAX8JNKIqJMgXnT4WKpLdr8nTUJD+Orv+Uw9+/RJ5nczS7DdPIWZi9L2DB6Jqo/JloAL8gCXE5kwRQiCbMuZtHHezQcGayGXLTG+gLM4nTH8Ba/lXk+K+G9sUdHOr9PF+RWH4EAilBD85lTg4R4FL+lYUrOLwnmb/svJ3h2Qu4V11x3jppgKkwjVN6P0z2IiweftB+eJXkMnvAGyi3fIyl3Qg8FccYv8o8Kt0jNgBc9yJGaxE+gRHo9ArtoppjunUeHj3/gv6M+8VdDaAm+ZGXFMLWuQ9jycum+bc3utbzjDGCmubYZeQ661L8rVkUZh3B/57P+ctDTxI7fSsFQ/7p0usI0ObHu9ib5AfFea5P2FXKMlI4FHotRr2RQlMEdsXocktc1aD5ogeJSXmHYpqhaz8MOt98jsjWggbwC5IQlzNJAIUQdeLMZNPsF0T7hz9h9dVfYDB4o4V1dZ5rOv4bI7u2pvC6f/O10r/KEiUGZskkMwAAOUNJREFUIIZcl2P67V/T9dshtCGrxnv8/qwkkKmEUmAM4ZvwR9nWcRqByydX+WIcuGw4WSmr8YnqRunti9DpDBSYI7ErjqViSvSuCbRldgKHMk6i84/ER7FhCmgBsQM56RFGstKcKlTwVsuIO/oFebNjqgwq1FVKAH8yjcCmU7ArsF9pwzFzHN2i/Nn+3v08MyOJf/3nTVauXkcR3py5xHKMCln/SGDHqwNQp/ux9cXB5B7ezo51PxCavhy7vQyv0nRyMVKMARTIVAwo5RmxBxBR9CeGMf+qv8RMxgYKUSskARRC1Buz0YOh/a9GefooG6IrLcCsQu6rcdxyYCodWoZecLkV+ZIKLLUGn/W8AIMn3xtHseKK2bTWjnHVyU/wOmNtQee5f75L6h9LsOYfx/BcFv5P7cCQlIchKY/lAxZT0a+mAopaQMjJNegPLKPYaqHs6GYAji97G1VtxmrTNRw1tTtduAIWRU8WCqGVkr9T1SwYPaLkJ/Sqyp/9PyX+yV/o4nkMv30/Ys7bxb1lH3NN5kd0L17LIULxUAwcVwJdXu9hzyO+0FGfzuo2/A4vppOailG1ocdxqzlILcSsOm5Wh2LjmH9XZ9uSwt+qtXF/F0XGBgpRKyQBFEI0CN36jSG57f3O3q9wNQ/t4BLij33ucl4h8LkyoOoskHLb7WZ+Dv0L869azk4llkGG6scAFgCRJXtIMXcn9uB8rvI6wrFtKziBGQ0oU3TkK5V2GlEhOn8je5fMdSkn6+CfDF82mN1qNFn4UthqIGWGYEzYUDUw2jWOZBfBvhWUqToCKOCIPZRw6wHsgFXxQEnKQ3n8MC3U02vg2YGg66ZW204F6Lp8POrLUUTnbsJmhw66dBTsWBUvFMWDQkNzPu2ygBaVltQB8FHLTpepgIoCCuiUquMqPYBivPDU27HFXMvKFg8ytW8g9erMsYHSIyjERZEEUIhG6GKXb6nPZV/Ox+zlRcLtr3HKu3ymqgJmFZfboQUY2K61o1Oggbd8HucPpTN5ismlnE56CxvCbuWaDaPorO4765ecGR3r6UC3tE9o7qOn7NBautv3kW4PJF0JQokfS0DUley8cobzNQoQVbzTpRzPD6/DjkYP5SC3K68SeN83+Dy9h7QR81F0oOrBqyybnV8+T0ywF0cMbUm85yWOqgb0wFHVcSv199eudyn3Y58JENTGpf0HFNdxjxU89JABEBRLG1MBaqu+9O7dh+Hbql9WxtFNCX+2m4Bep6MME6rqGFdYcbkiRUeprpnjdEsBWs8HGNq/P34dBp8lonXkzLGB0iMoxEWRBFCIRuhil2+py2VfLlbQxGVg9kVTXdffy1F0FGPG08PINt9+3Hj7g3gb9WxrcU+VXrIhnqnEqJVGwJ3xfKkC1oBY2nnkYL7qYVrpMvFVHQtLd9Uf4yfPMRhLsmHAM3Tu0IFVSi8ASoBtAz92lnP06GE81BJ0QBFG/j1hgPO5yB5jsRgjsGEgTM2kfekuyrK2MvDqvrSLDCemfIReDMVQZqGfuhV7eYP/7TOJkQ+/DHFDXXrlYtRclOnpZMRUnakcDoTa0tjbfhKtolpRnHWMYPXMDecqUaFzylxsmoapvOexFD0KsGP4//CdlobHlfdQ4BnOkm7/YXFZV4gb2vAmZchsYSEuiiSAQriTm25PXezyLXW57MvFsJTZ+HZvCaX/t5EycyhWIF0Jx9r+evJD+mNVzHibjdzYozWRBdsIHfIYrdKX8Gkz1/X7rtr0yDmvY/YKpllMT7oPvIX7YrLZm316eWc70KO5B9z8EViLIaYfPdStFGkGjMChlD8A+OJ/b9P8vc5oaICO1UG3ov9sPFk5p2+5Kn9ZhK7SPrthqhX6TALAWp6UWhXY/Z/bsQB6HeQp8LDua5hzFWtfGs7Srm+61P1oyjpa3PsxSlIWy5TuLs8Z8o7Q1bKG/DXv453ycZXZylDew1d+XAMMmmNpHQVIUWLInXKQLomjwGjGOOJl/P+2kcCIqAb7njnrbOEL+ezJbWTRBEkCKIQ7uen21MUu31KXy75cqKzCEu77cBNHsiwsPaxi/ts2vAY9Q8tpWzHd/hGR7bqjhMQR2zoaU/vrIKYfh3+YQSvrQeLzfqTsXF9nZ27V8eBaiL8eQtpBTD8ix7+FRXG8/rgSyBU9B4KXnzOx+LrbfLx0juTgL2kvsm7lz4xLfQY7joWhVTT6nFrIRqU7Wz9/yXmZ1auXYFRtzt1DkuMnOSdQFGqeAJSqHoRm/U4h3pxSvAn0jaRA54lanE2n0j/on/w3l6pHVFoiZujtT5OrNHM+1gP6lB8IULNBdSR16W1HYVUU0DmSzcNBfSmdcoAdIz9zJqY64FOlP6EPLiY40HWMX0N+z5xTxWdv34rzJ3cV5x5cU3f1E6KeSQIohDvJ7amaUa38+PVHNPOw88ehHEdvk9EM/f7uTJiM/f5Gi459Ty9BohhIUPeiAV11ORRicHyjKZx1WzeAb5TrwS/CcTuz/JZmcG4yZuzYFYjkFKZ2A1xec88NIyhVDM4vzCt/uZViHJezA0WYsas2RuV+SLv8DVhyMgAYvH2qM0nMVIJoNXSKs0yd3ZEWemNDQ0VB49j45fDYDox3f4/JaMJTs6Jgc1nOpbQimT2wisyj+wmgiLOO6FQh8Kb/YpqeiXLn15imZ9F28k+Y/YLo0msYB8vjlKbBLeqvkLvv7IFrbCo+e3D+X8Iqzo2+um7qJkQDIAmgEO7UiBazrdcJIgdWMaZ3e/rqd/Lm+K7V9zadkRAC/KL0QgckK1H4KHa2GbtyQh/KZu8hZJwl5jc9877rAdWKdfs3ZPp2RQ+U3rm42n+v9c2GOv+/onbFGPjBfAMnCSjfpUQjpHAXxe9dR/asbuzQBaEH8tGTTEcK3upL0fMRfPLdj/hXKttMGTlKEDsOZnNoeizfbj6M3+NbKVK8AfCqdK4JeOSj9Rz1aEHw6icoATwU+C1odJU6b1XiOfTdS47er2reh7FPHKa4eU/CdVCoeBHy+ahqY9YoVXz2Ygee/5ewRvQ5FaK2SAIohADqcYKIagW7DX+KuPuOewj2Np3/NeWuevwrUq94hPjH12GfkordHMZPIf+Hv68X4dXc8isB0l5sz+IXbyE16Qq+nnYlalIw+u1fU5B/lI1Xvo25Ta9qr9VtwlvYK/UsegHpprbc8NQ8vB9czhbDlZToPClTzJhL0vG0HKCjls1OQlgb/zLxyhEiyETTrNy85XaXsm14UHTjp/RZdw8nVW/6rLuHktRlnAzpQ45HKB8ow13P37MC3QfXgQomFdZGP87Vkxewf+h7rnVWUzCXHIX1c6oPoNGLZnEDyLzlB7ywcvKWH84b80ZHkjshqiUJoBACqMcJIvtWQPZ+x/9f4A9ps7cvHW59EbO3L2a/IDpM/ISQnjfSqk/125SZgDA1h8Gli4lUjzNG2et8LlbNptvOV7AmBWM5uLnKa4MDAynwjHY5FnDbuwBEWnZx7b1J+Ix7m7wW/TgVez1equP28BWcZNRtDxE2aQVpgYkYUTmkc13cOv0vf5DQsSPr+swnRClkXZ/57PnzNzJLTZSEdWMUG5znFgIhZBBBPnYcwxt73Pw4AO363ML+a2ZReSuUyP0LWfPLt+eMY8v2vTAlZREZn3jO84SbyWQUUYckARRCAPU82L+me7edh9noweiE1piuGMGBc4wDBPBEw1LpsUUBj+LjgBXPDwegvhAKx3ecfr64GHPJYZcyvP83jDUL38US0RNK8jF1vJ6s+PGEpn5Fgeb4gv2uzVRH3fyCiJn0I/kPbkfzDHeWYQdahjh2KxnbL4HUrlPx+v1NonfPRZd/jIKMTYSo2dgAuw4MD/7BE3yGiqP8VCUGS2G+s7x2g/+P3HvXOMdBasBV6k6Opqy/kFBePEliLp6saSjqkCSAwpV8eYu6Fn0NlFkcf9cW1UrMmTN/gWId2ColRhWjCfcqAZjBmVRpgGovRf1vH9KSYtizdye/f/wsBrvduTZhqeLBIV0UkX/+h5zXujH343lsO3CIrstvRwV8dHAg+Br0nW51GVcZHN6StledXvRZDyivtWbP5iWceqMPQdv/w2h1Kapmp6e6mSvK1/LzAHaNX4s5PAaLMRzQUaQY2K2PwzKnD3sOH3UUmHOEgK9vJZ9AMhyTfylQofknQylK8iPr4J/u/ZxLEnPxqpk01pAXbxeNmySAwpV8eYu6dnA1GMyOv6txMT8AS/asrHJMee4Eza6diudTx0np/pRLp2NbNZfS8p0wNpuvJYcAFMCqQpCaTZsFV9Hv8HvlK/5B2l9+h0k78fNthtFeQKkNhqrrCF4wEHv58is5SgCFId0wHV1bdVxl4kQqp16qqtLmh5sptSt0s++jBPDRqS5f0Bl40LZ1LH9+PBWbbyhKaHt+TvyGntZN/Ka2o8W87vzxzVtY3+uPWngcb/IwGSLYf/MifMqTXpMKAR9czeYZ/di29XdK9yyvcUxrTGa+X7xqxis2hsXbReMkCaBwJV/eoq6VnIKN7zv+rsbF/AD8JMW1+2/Fle+cfqAY6Dh2Kjtu/ZVc5fTtbk8cyV1Cwa9YMZITdzsWxZvKN8R1QIZiILJFK8zZO4iY+DPqvUvQDM1II5gQ8gBHT6LP2H8S36UXpZFXVx1XaTRjqHSL2gBspjVRJXuw6MGo6NiuBLtsYJLe4ha2rfycsCOLOJVXxBHPGEb1v4plfb9klLKJQrxI2DqdrSVBlGKmiGZ4TVhEu059SO7+gsvlu6o7sVhVkg/n1TimNSaTLmpVQ1+8XTRekgA2UPXW7S9f3qIOVLy/92Tks/3Hf2PxCoOt/6v23Av6AahaIXUxN//pujPIwK0Psva7uaj7V8Pi6fCvnnQ59g3B0466bLVWIVzNxH/Xx/iphVXWkA5XragzItj71XOU7FpEZKtYYp/7k286vEFe+YItaV7xmLrcgOmKEYxOaF3tuMrK1z2gNKereohSwEuFU2h0UrNQy+83r9G1ZfGRUnr+/ijbbSF4K6WsVnqBauW2/p1Y1X8hwWoeqh0S1FR+978eddI2zOGOfZU7+RaR6x9PSXlGuVTpi84/mm6Gg3Byjwz5aMAa7ULcosGTBLCBkm5/cTmreH9P/GQrzxkeY39WMdw4v9pza/wDULXC2jcgMwUNk0uCpQKJ25/CkpsG2z6G/DRY/xa804+T5efkVDrfzukvR6XSMefzGsRYdqB9fR8LX76bzcmbmJh6L++a7ifD3IbQBxeetZqWwnx2ffoUWqXMMkBNI0/xwoijlzGwfAaxooMPlHF8rr+JJ5WvKFF19Fe3caLMQJR6hG2/fsOSnRnoc/fzXcT9KHpIVSLonr8U7+NrHGMrV/2DrYUhnGwWS3bzESjT0xmW9BO9vTMxWgsh50C97oAhY9yEqB+SADZQ0u0vLmcV7+85t3XDKyAc/wcXgXfwpRW6bwWlmo70rd+T5hlNtjGCj5o/yWbv/ijA751ewRzQHLrcDmWFgAfkHaHiExYIKFdPwt5+GHleUeQqrtOIT+/64diz16ZAIR4MLPuJrl8PJEI9weSStziotWTDHxsoTAplw6JPyX4xjpPLXqfg1Q5kpf6GbXZn7KeOudzeDQLyaOYyLlEPrNbaM3TiP5k26a/cozyLSdHYoxnoZt9D87TP6OBv5ZoVY9lYHMrAqweQ+2AygXo7B+wtMXxxFyUvR1BQZKGb90lyW48k+M65pxfSTpwIXgEQGFOvO2As3X4Ur8O/sGz7sXqrgxBNkU7TNO38p4nq5Ofn4+fnR15eHr6+vnV2XVVV2bt3L23btkVRzrPWRRMhMXF12cVDtTomJsX0qzo8oeI5Wwl7131JQeYhioyhZOhCyen+V8ICfBnTrYVrTHIOwbzroGVPTu5ZRKDq2CfX5N2cAoM/xtxdeNhhlz6GeA44ErNKPXZ2QF8eVlXFJZlbofTmWvUPslQTYYqFdCWccDLIUiIIVjNIVa6gtXYIu70Ys6q6lAmnfyvPA3zQcfDmn2jXqQ9Hjx4md/5tXFG2AxXHNU+ZIsjQh+NLPpuH/sCYbi04engfzd9PcPZiqooB47QjLjuoOEPXAN4nJSlL2JBmo1c4mIye1f8b15GGEI+G5nKNSX39/G5IpAdQiMvJ5bqMz7lmp1c8p/eg0BjGn4auFHm1oP/9rxAW4Ft9L3pIG3hiP9z2Kb8lfkWZ4sm+FjdB5xsx5qbgoQIadNAOoKFjo/dwShUDVgVslCdWqmNf3so/EncAJpOZdX3mE6yUsErpTTBZbG9xC35qDj8ZRxNrS2FF9FOorVz3G9aX/ykGVind8EFHnmqgzdfD2bNtFb5zE8lSzaQo4SjAOuVKTni3p01ZCluu/CcJLZvx3zkz8fngalYojm3tLIoH+XevrDb5ayhM7QbQL8oTk4ciKxAIUYckARTiclKRDNXjmC63KJ+dbmnZp+p4sZh+YMkBWwmKTsMaEEt+j0cI9vOp0djBqzY/jg4bYSc3wnUz2D1uGYUKoDgWXlbR061wMTZTKFkeUZQpXvxoGkmmR0s8zyirI9CsaDvdfn8YPH2I4gRleBCd+TtGShlWvBDsKsP2PE2zw8uqrc9nfX+l97TlfNb9IwKMZWQCbb66nhwMJLCT7f0+o3RaBr2vHkiomkFGcCIjjr3Okm8+4IaMtzhuC6Ane8idtAefpGyCoztfQuDrwIXs2Ssumoy1FGeSBFCIy0nFMj71OKbLLcqThCW7s6tOjlIMoPegYOtCovZ/ypXKXkZ2a1Xzosuy0KsqHmVZsHc5XTp0xS8pD2VaOmWd78WOwirvEXypDCfCdoT9hjj6PPBPIp/bSdrI913KUoGunMRHLURnyyOaAyhY8bEdRsPRW+hBeW9fNQtVzwx8ntv6d8Js9ODOsaNIG7+cMNXR2xilnmLf1f9ifP9umL28MF77d/bGPoCuJI/PDtu599jzbLTHEKwv4MSdvxIc0sjGDzflFQjqoOdeJhaKM0kCKMTl5DL/IXrWyVEx/Sjav44CvPA/ttq11+88P1z30QYFyCTE9Rak0UyzG96Aaemcuvp57ij6gAKMxFuTMc/pxJ5/9Mf/l+mk+XcDIEMxoQAF6FAVx5fr7la3ouJJnl9ndECu4kWpoqcIPfYzhlPNiPucx/5yJycX3MvR1I1kv9AWv29uJ1VphaJAkR06rpnAbz//D0txMSgGYvvdxJr8QMaraymzw2D9DsombqFdm7haiHY1LtchBvWtDhbgl4mF4kySAAohGo2zLgmjWjF1vQGbzoz3wMdcE5Tz3Bbv2iyLAsWbmGZl1d6CNBs9uLlXGw6P+wETdjR02LDRpmgLtpJifApS+U3pgoUAyhQFo+KBogIqRB/+DN+kdAKnrEFJyiM4KQNzUi4e00/y4+idLte5LzqXvDd6k5WZRuin12Gy5+BRmk2kWSV52Od4GhSSw8ZjyNxO6X+uhcIsNn41i/H25Vg0MOphY5/3iQwPqYVIu8bWmfTJTkHuceYC/G5ItGU9QXEmSQCFEI3f+jn4t4gnumNPQnQFsG/F6efOc1vcOGEx/v7BGCcsPmfvacuo9hxr1pklUU+g4MGBZt3BO5jDNy1in2dHmlGGHQ0PrM6ZIZ52KE4KJWv/Fmc5luJivvzkfTz3L3UpP2LZg5TaSrmiZAvpagB2VUeWPhyfh1eRcNVQPKdn0uWaEbTNXgmBrcl+LYH+h96iRAOzDjYP/4HeQ2+6tDhWp3LSJzsFuceZPfeSaIs6IAmgEKLxS5wIRSeh/QhcFtOD898WD4yCydscf5/DyS8mYff044qspeiePEzbv/9CwOOb6XJFNwbd+gh+5KEH8o2tSe7yLACaHjzUUgLm9+d/H7wKwNZVC4nVpRF01HUSiBWIJA+wY1TseCpWgu0nSH3tKlK+n03mf4Zjj0jA//9+Rju8gW/LerCTaAw6PXsSptEz8ZoLj1tNVE76LvMhBg2GJNqiDkgCKIRo/Ixm6Pd3RwIYHOeYUVqbivNooc/BlyJaDpmE2csLTu5HndWWb1esRflwJHrNjgZkRA5Gt38VpYoRnXr6S3b8wZexHN1JQqQvJnshFKS5XMIAFCgeaAqEqbkogKdaRoyaSfTGF/DMOwT/SQTFQNF9v9G6mY1H9FM5cN37xI96rHbbW5kkfXVPYi7qgCSAQojGSbVSsv07dn36FJbCfMexs/3gVK2wZylk7bu4cVU/P4ka1hmj9RTfWzqQlVdAyXvXkmkp4/pfR+Cp5mDT6bDog4gZ+yxtDDkYtDJQTq8fnamA59yrKMnPoijzANuUTs7n7MA3DKIZKsbybeBQQSt/fY6pBSZrDobAKPjiTiLDQxj09EJ+e/5W2l89ThIFIcQFkwRQCNE4HVhF2sbvUQtzOPTjrHOfu28F7FkMluyLWyNx2KucOpTMJ773U7Lq3wTMbska/zGEqadQAX/seGGH8Z9g9vaF3FT0dkCFMgwkK+0IA/Ix4rNkEs1bRBLgqTkXkdYDN7Ac0NDKZxCfMMXgEdIeJXYAOr8IlPbDMZi8oc9kGRsmhLhkkgAKIRqnmH4073E9Ht5BtB75xPnPD4xx9P5dzBqJXn4ot31KTMkObi/6kFJ0DDi5gGWdXkEBShU44dUW85e3QupiCvo+R5miUKIYOKxEs6ffe+RcMwtfysjHg1b7F9Ax3Mu5/RuAVn67uEznR+mkHUQ8vRUGTMfg34KIDtdiuOkDuGshaPYLGxsmS7cIIaohCaAQovEpX5LE1GE48eNfdvS6nUvsQAjtAK0SXW+XXkBylPrHEjKKDXyuDMYTjf0jPmHozQ+hzMiDB7fib89B6XwTLH6KliGh6G76iK+jX2Tt1Qvw8g8lZMD/sf+mpTRDI82nO2XZh12+gHXAzqi7MD+1G3NIpONguyHQYQz0e8JR7/OMDbMUF7P8+//x1JebySoscRyUGaVCiGpIAijEZaJJbfV0oUmNYoDYAaA/Y/XlmpajWkmI9KV1uysobTWQ3CnHaNdjhPNpc3gM5id243FgBWW5x8lZ/DL2mAHcOP4+wgJP70fc7opeGKcdI6LLYLxyd6GdcZnYO2a77ttbg8kA27Zv5FRSBDn/Hc3Br6dxdPdmPA/9yhvL9jpOkBmlQohqSAIoRG2p51tt59zq6XK6DVhmgWOboPDEpSc1NU2O9q3AlHeIAfHNuffehwj286l6jmKgoMyOFR1q8Sk8Xm2B9uMUxlwR4Lr4rtGMcdA08poPcFmxRoOaL9JbZqFs2Qx2/m8K7b4ehkEtodnx1cQVbOIq/zxaBZmZPLits14yo1QIcSZJAIWoLfV8q+2cWz1dTrcB188Bn3A4kXLpSc2FJEdnri9YDePd31HqHYUfp7ChYfpzAczpBYVZp08qzoNvHqQsJJ79yul/Kx1QtiTJkeCeQ1ZODntfuQZt7euEHPiJNFqi6HWc8OyAR99Hiet3M/fefR/B3qbzV1gI0WRJAihEbannW23n3OrpcroNWLHoc+JE91+rouc0+poarS9oDgwncPRM8scvwhMNMIAlF+aPgtTFjuRv/ggwB9DTtoXsns+5vL5s/TsUfn4/CzcfrPZW/ubkTXjObk9z6z5sdj0+9izCe44muecbBE1eDp1uhLih0tsnhDgv2RRQiNpS0ZvUEDXkul2oikWf60JFz+nh32oWv/Lzg0vy4cnD8MEQKMrBBhxd8wmR+rfwiOgGB1ZhuPdnEr38UNc/7Hx5ESb0+9cQnz+V5fYXub5HW+dzR4+nEf/1EIo0I146PTbFk8PjvqdLpx70dkPThRCXN+kBFEI0ClmFJUz/Zit52xfV3VjGC+05rXy+lx/cvxLa9GNPkYmoY99RduQ3rFl7oP80x/NAkXL693B/NRerVzhq4Un6rr4NS142qFZS372b5u/Ek6nY8NOVkNvhLvyT0unSqYc7Wi2EaAIkARRCXJD6mm38j8Wp6A6s4uMtuTUfy3ipk18udALFmecbzTDm38QVb0FTwRMN3bE/sAR0cL6kSAl1/r8HkBfZn9DCzfid2oP1tRisM4KJPbYQVYMoFdSWPYkc8/zFtUcIIcpJAihEbbqcZtuexTlnG9c21UpJyhIWbj5I2zBvdnt1Iy6AmvfINYTJL4qB/aO+QKc4tnjLwg/PdxJYtOo3LGU2vNUCl9PDUt4hoPz/vcv/1hRQdHAw4Eq8hj4HxzbWZQuEEJchSQCFqE0NIeFws3PONq5tB1axIc2K6ehafEwGbrsqlsSht9S8R66BTH5p16E3SscbOR58DcHkgmrn2l+GoX85DDOuCaDfGa/VAaUdbkOZnk7so4sds4Qvh8k8Qoh6JZNAhKhNMf0cyd9l/AO6YrZxnYjpRy/bSpZYrmZUp+Y1XyevQuXJL6pa+/WrqR8no+5fQ2TJSSivhqcKqnLGbXQF8tTTSWCy4UoSht+JR9HJ0wtEXy6TeYQQ9UoSQCFq05mzbcu3LCOmnyzNcTEUA6b4IYyu73pcLNUKe5ZA5i4oOYmKDhQNRYXdSgvako4NHR6KigUjysQtBFZsAwcklFkc6x4mTnSsJfj1X2DcB+AdXI+NEkJcDuQWsBDu1ARuCYuzKLPAd4/A7kUQ1Rv82oDOiH3QPyidlsG+UYsoHvcxn7eeQZZXe0oCOmBePcO1jIolb4xmR/LXLMzxtxBCXCJJAIVwpwYyBq1RKbPAipcoWzaD7zbuaZx7G6tW+OFR8DCDrRh8IlAmrsX43AlMfR/A7OXF6ITWrLR1xh7YAe/SowRggWYh8Msr1e8GMu4DKMrEMnwO6xZ/iqW4uO7bJYS4bDSKBPA///kPnTt3xtfXF19fXxITE/n555+dz5eUlDBx4kSCgoLw9vZm3LhxZGaee4aipmk8++yzRERE4OXlxaBBg9i7d6+7myKamgtZRqQJzCCukfVzIP1P8nYspeWuuXUz27i2HVgFIfGQdxg6joP+U0+P4augWhlm2smNKQ9j8DTjcWo/pG+D4lxHDM7kHQx3f8/WzWvJtplIXvVd3bRFCHFZahQJYMuWLXnllVfYvHkzmzZtYsCAAYwePZqdO3cCMGXKFH744Qe+/PJLVq1aRVpaGjfccMM5y5w1axZvvfUW77zzDhs2bKBZs2YMGTKEkpKSumiSEFXJ7WKHxIlg8sYv6gqswVfUzWzj2qBaYedC+Pp+iOgKYR2g5/3Qbkj15x9Yhck7AO/OY1DK8sk1RmCzWcEr4Jzb3HXrN4Zgj1K69mu0IyNFE1Ffa4aKmmkUCeCoUaMYPnw4bdu2pV27drz00kt4e3vz+++/k5eXx9y5c/nnP//JgAEDSEhIYN68efz222/8/vvv1ZanaRpvvPEGzzzzDKNHj6Zz584sWLCAtLQ0Fi5cWLeNE6KC3C4GwIKRhdHPYO8wlt5Dx1/4zN96YCmz8duSz7GtmQ3WYlj6jGNP3nPty1vx7z1wOrsibsCrNJPN/gOr7y2sxOzlxVVDb8Xs5eWm1ghRO+p0zVBxwRpFAliZqqp89tlnFBUVkZiYyObNm7FarQwadHrmZfv27YmKimL9+vXVlnHw4EEyMjJcXuPn50evXr3O+hoh3O5Cd524TC3ZmUG2RWNxScdGE4slOzMoKLGxy+9qKDkFw149/4sq/r2NZlpnraJQ50uH/fMvvhIyhEA0MHW6Zqi4YA3/V+ty27dvJzExkZKSEry9vfn222/p0KEDycnJGI1G/P39Xc4PCwsjIyOj2rIqjoeFub4pz/UagNLSUkpLS52P8/PzAUdSqtbhGmOqqmK32+v0mg2dxMRVY47H4PYhLE85waD2wbVaf3fGZHD7EFao1xDrFY7a9hlHcncB11EGPIVp5UvoB0y9+Prt+9UxhGDfrxA7oEYvaczvE3eQeFR1KTHxVHSM6hzuLKchaWj1qQ+NJgGMi4sjOTmZvLw8vvrqK+6++25WrarbsVIzZ87k+eer7sG5f/9+vL29q3mFe9jtdnJycti3bx96faPrxHULiYmrxh6P9mY4dvhgrZbp7pjEecMRWsOBQxf+Yu8EuHo2eLeCi52MZm8Oxw5DQM3LaOzvk9om8ajqco1JYWFhfVeh3jWaBNBoNBIbGwtAQkICGzdu5M033+SWW26hrKyMU6dOufQCZmZmEh4eXm1ZFcczMzOJiIhweU3Xrl3PWoennnqKxx57zPk4Pz+fyMhI2rRpg6+v7yW07sKoqsq+ffuIjY1FUZQ6u25DJjFxJfGoquHHpH2dl9HwY1K3JB5VXa4xqbiD15Q1mgTwTHa7ndLSUhISEjAYDKxYsYJx48YBkJqaypEjR0hMTKz2tdHR0YSHh7NixQpnwpefn8+GDRt46KGHznpNT09PPD09qxxXFKXOPxh6vb5ertuQSUxcSTyqkphUJTFxJfGo6nKMyeXUlovVKBLAp556imHDhhEVFUVBQQGffPIJv/76K0uWLMHPz48JEybw2GOPERgYiK+vL4888giJiYn07t3bWUb79u2ZOXMmY8eORafTMXnyZF588UXatm1LdHQ006dPp3nz5owZM6b+GiqEEEIIUQcaRQJ44sQJ7rrrLtLT0/Hz86Nz584sWbKEwYMHAzB79mz0ej3jxo2jtLSUIUOG8O9//9uljNTUVPLy8pyPn3jiCYqKinjggQc4deoUffv2ZfHixZhMpjptmxBCCCFEXWsUCeDcuXPP+bzJZGLOnDnMmVPN6vnlNE1zeazT6XjhhRd44YUXaqWOQgghhBCNxeUzpUcIIYQQQtSIJIBCCCGEEE2MJIBCCCGEEE2MJIBCCCGEEE2MJIBCCCGEEE2MJIBCCCGEEE1Mo1gGpqGqWFqmrreUUVWVwsJC8vPzZTXzchITVxKPqiQmVUlMXEk8qrpcY1Lxc/vMJeKaEkkAL0FBQQEAkZGR9VwTIYQQQlyogoIC/Pz86rsa9UKnNeX09xLZ7XbS0tLw8fFBp9PV2XXz8/OJjIzk6NGj+Pr61tl1GzKJiSuJR1USk6okJq4kHlVdrjHRNI2CggKaN2+OXt80R8NJD+Al0Ov1tGzZst6u7+vre1l9IGuDxMSVxKMqiUlVEhNXEo+qLseYNNWevwpNM+0VQgghhGjCJAEUQgghhGhiJAFshDw9PXnuuefw9PSs76o0GBITVxKPqiQmVUlMXEk8qpKYXL5kEogQQgghRBMjPYBCCCGEEE2MJIBCCCGEEE2MJIBCCCGEEE2MJIBCCCGEEE2MJIAN0JYtWxg8eDD+/v4EBQXxwAMPUFhY6HLOxo0bGThwIP7+/gQEBDBkyBC2bdtWo/I1TWPYsGHodDoWLlzohhbUPnfEJCcnh0ceeYS4uDi8vLyIiopi0qRJ5OXlubs5tcJd75OSkhImTpxIUFAQ3t7ejBs3jszMTHc2pVacLx7z589Hp9NV++fEiRNnLXfPnj2MHj2a4OBgfH196du3L7/88ktdNOmSuSsmAD/99BO9evXCy8uLgIAAxowZ4+bW1A53xgSgtLSUrl27otPpSE5OdmNLaoc74nHo0CEmTJhAdHQ0Xl5etGnThueee46ysrK6apaoAUkAG5i0tDQGDRpEbGwsGzZsYPHixezcuZN77rnHeU5hYSFDhw4lKiqKDRs2sHbtWnx8fBgyZAhWq/W813jjjTfqdOu6S+WumKSlpZGWlsZrr73Gjh07mD9/PosXL2bChAl11LKL5873yZQpU/jhhx/48ssvWbVqFWlpadxwww110KqLV5N43HLLLaSnp7v8GTJkCP369SM0NPSsZY8cORKbzcbKlSvZvHkzXbp0YeTIkWRkZNRByy6eO2Py9ddfc+edd3Lvvfeybds21q1bx2233VYHrbo07oxJhSeeeILmzZu7sRW1x13x2L17N3a7nXfffZedO3cye/Zs3nnnHaZNm1ZHLRM1ookG5d1339VCQ0M1VVWdx/78808N0Pbu3atpmqZt3LhRA7QjR46c9Zyz2bp1q9aiRQstPT1dA7Rvv/3WLe2oTe6OSWVffPGFZjQaNavVWnsNcAN3xeTUqVOawWDQvvzyS+exlJQUDdDWr1/vptZcuprE40wnTpzQDAaDtmDBgrOWe/LkSQ3QVq9e7TyWn5+vAdqyZctqrwFu4K6YWK1WrUWLFtr7779f63V2N3fFpMKiRYu09u3bazt37tQAbevWrbVVdbdwdzwqmzVrlhYdHX1J9RW1S3oAG5jS0lKMRqPL5tReXl4ArF27FoC4uDiCgoKYO3cuZWVlFBcXM3fuXOLj42nduvVZy7ZYLNx2223MmTOH8PBwt7ajNrkzJmfKy8vD19cXD4+GvU22u2KyefNmrFYrgwYNch5r3749UVFRrF+/3n0NukQ1iceZFixYgNls5sYbbzxruUFBQcTFxbFgwQKKioqw2Wy8++67hIaGkpCQULuNqGXuismWLVs4fvw4er2ebt26ERERwbBhw9ixY0ftNsAN3BUTgMzMTO6//34++ugjzGZz7VXajdwZjzPl5eURGBh48ZUVta++M1DhaseOHZqHh4c2a9YsrbS0VMvJydHGjRunAdrLL7/sPG/79u1amzZtNL1er+n1ei0uLk47dOjQOct+4IEHtAkTJjgf00h6AN0Zk8pOnjypRUVFadOmTXNHM2qVu2Ly8ccfa0ajscrxHj16aE888YRb2lIbahqPyuLj47WHHnrovGUfPXpUS0hI0HQ6naYoihYREaFt2bKltptQ69wVk08//VQDtKioKO2rr77SNm3apI0fP14LCgrSsrOz3dGUWuOumNjtdm3o0KHajBkzNE3TtIMHDzaKHkB3fm4q27t3r+br66u99957tVFtUUukB7COTJ069awDaSv+7N69myuuuIIPP/yQ119/HbPZTHh4ONHR0YSFhTl/SysuLmbChAn06dOH33//nXXr1tGxY0dGjBhBcXFxtdf//vvvWblyJW+88UYdtvrc6jsmleXn5zNixAg6dOhAUlKSm1t+dg0pJg1BbcajsvXr15OSknLe8Z6apjFx4kRCQ0NZs2YNf/zxB2PGjGHUqFGkp6e7q9nnVN8xsdvtADz99NOMGzeOhIQE5s2bh06n48svv3RLm8+nvmPy9ttvU1BQwFNPPeWuJl6Q+o5HZcePH2fo0KHcdNNN3H///bXZTHGJZCu4OnLy5Emys7PPeU5MTAxGo9H5ODMzk2bNmqHT6fD19eWzzz7jpptuYu7cuUybNo309HTnh7SsrIyAgADmzp3LrbfeWqXsyZMn89Zbb7l8qFVVRa/Xc/XVV/Prr7/WTkMvQH3HpEJBQQFDhgzBbDbz448/YjKZaqeBF6G+Y7Jy5UoGDhxIbm4u/v7+zuOtWrVi8uTJTJkypXYaWkO1GY/KJkyYwJYtW9i6des5y16xYgXXXXcdubm5+Pr6Oo+3bduWCRMmMHXq1Ito1aWp75j88ssvDBgwgDVr1tC3b1/n8V69ejFo0CBeeumli2jVpanvmIwZM4YffvjBZXKdqqooisLtt9/Ohx9+eBGtunj1HY8KaWlpXHvttfTu3Zv58+dXm1SK+tOwBzpdRkJCQggJCbmg14SFhQHwwQcfYDKZGDx4MOAYy6fX612+bCoeV/x2fqapU6dy3333uRzr1KkTs2fPZtSoURdUr9pS3zEBR8/fkCFD8PT05Pvvv6/X5A/qPyYJCQkYDAZWrFjBuHHjAEhNTeXIkSMkJiZeTJMuSW3Go0JhYSFffPEFM2fOPG9ZFosFoMoPLr1ef873lTvVd0wSEhLw9PQkNTXVmQBarVYOHTpEq1atLqhetaW+Y/LWW2/x4osvOh+npaUxZMgQPv/8c3r16nVB9aoN9R0PcPT89e/f39lDLMlfA1TPt6BFNd5++21t8+bNWmpqqvavf/1L8/Ly0t58803n8ykpKZqnp6f20EMPabt27dJ27Nih3XHHHZqfn5+WlpamaZqmHTt2TIuLi9M2bNhw1uvQSMYAapp7YpKXl6f16tVL69Spk7Zv3z4tPT3d+cdms9VLOy+Eu94nDz74oBYVFaWtXLlS27Rpk5aYmKglJibWefsu1PniUeH999/XTCaTlpubW+W5DRs2aHFxcdqxY8c0TXOMCw0KCtJuuOEGLTk5WUtNTdUef/xxzWAwaMnJye5u0iVzR0w0TdMeffRRrUWLFtqSJUu03bt3axMmTNBCQ0O1nJwcdzanVrgrJpU1ljGAmuaeeBw7dkyLjY3VBg4cqB07dszlu1U0HJIANkB33nmnFhgYqBmNRq1z587VTrdfunSp1qdPH83Pz08LCAjQBgwY4LJMR8UX0C+//HLW6zSmBNAdMfnll180oNo/Bw8erKOWXTx3vU+Ki4u1hx9+WAsICNDMZrM2duzYRvHFXZN4aJqmJSYmarfddlu1z1W8Jyr/+2/cuFG77rrrtMDAQM3Hx0fr3bu3tmjRInc0oda5KyZlZWXa3/72Ny00NFTz8fHRBg0apO3YscMdTah17opJZY0pAXRHPObNm3fW71bRcMgYQCGEEEKIJkZuygshhBBCNDGSAAohhBBCNDGSAAohhBBCNDGSAAohhBBCNDGSAAohhBBCNDGSAAohhBBCNDGSAAohhBBCNDGSAAohhBBCNDGSAAohasW1117L5MmTL6vr3nPPPYwZM+aSymjdujU6nQ6dTsepU6fOet78+fPx9/e/pGtVp+La7ihbCNF4SQIohGjUvvnmG2bMmOF83Lp1a9544436q1A1XnjhBdLT0/Hz86vza6enpze4eAgh6p9HfVdACCEuRWBgYH1X4bx8fHwIDw+vl2uHh4fXS+IphGjYpAdQCOEWubm53HXXXQQEBGA2mxk2bBh79+51Pl9xy3PJkiXEx8fj7e3N0KFDSU9Pd55js9mYNGkS/v7+BAUF8eSTT3L33Xe73JatfAv42muv5fDhw0yZMsV56xMgKSmJrl27utTvjTfeoHXr1s7Hqqry2GOPOa/1xBNPcOZW6Xa7nZkzZxIdHY2XlxddunThq6++uqj4zJ8/n6ioKMxmM2PHjiU7O7vKOd999x3du3fHZDIRExPD888/j81mcz6/e/du+vbti8lkokOHDixfvhydTsfChQsvqk5CiKZDEkAhhFvcc889bNq0ie+//57169ejaRrDhw/HarU6z7FYLLz22mt89NFHrF69miNHjvD44487n3/11Vf5+OOPmTdvHuvWrSM/P/+cyc0333xDy5YtnbdcKyeT5/P6668zf/58PvjgA9auXUtOTg7ffvutyzkzZ85kwYIFvPPOO+zcuZMpU6Zwxx13sGrVqpoHBtiwYQMTJkzgr3/9K8nJyfTv358XX3zR5Zw1a9Zw11138eijj7Jr1y7effdd5s+fz0svvQQ4EtYxY8ZgNpvZsGED7733Hk8//fQF1UMI0YRpQghRC/r166c9+uijmqZp2p49ezRAW7dunfP5rKwszcvLS/viiy80TdO0efPmaYC2b98+5zlz5szRwsLCnI/DwsK0f/zjH87HNptNi4qK0kaPHl3tdTVN01q1aqXNnj3bpW7PPfec1qVLF5djs2fP1lq1auV8HBERoc2aNcv52Gq1ai1btnReq6SkRDObzdpvv/3mUs6ECRO08ePHnzUu1dVn/Pjx2vDhw12O3XLLLZqfn5/z8cCBA7WXX37Z5ZyPPvpIi4iI0DRN037++WfNw8NDS09Pdz6/bNkyDdC+/fZbl9fNmzfPpWwhhJAxgEKIWpeSkoKHhwe9evVyHgsKCiIuLo6UlBTnMbPZTJs2bZyPIyIiOHHiBAB5eXlkZmbSs2dP5/OKopCQkIDdbq/V+ubl5ZGenu5SXw8PD6688krnbeB9+/ZhsVgYPHiwy2vLysro1q3bBV0vJSWFsWPHuhxLTExk8eLFzsfbtm1j3bp1zh4/cPT6lZSUYLFYSE1NJTIy0mVsYeVYCSHEuUgCKISoNwaDweWxTqerMu6uNuj1+irlVr4VXROFhYUA/PTTT7Ro0cLlOU9Pz0ur4Fmu9/zzz3PDDTdUec5kMtX69YQQTYuMARRC1Lr4+HhsNhsbNmxwHsvOziY1NZUOHTrUqAw/Pz/CwsLYuHGj85iqqmzZsuWcrzMajaiq6nIsJCSEjIwMlyQwOTnZ5VoREREu9bXZbGzevNn5uEOHDnh6enLkyBFiY2Nd/kRGRtaoTRXi4+NdrgXw+++/uzzu3r07qampVa4VGxuLXq8nLi6Oo0ePkpmZ6XxN5VgJIcS5SA+gEKLWtW3bltGjR3P//ffz7rvv4uPjw9SpU2nRogWjR4+ucTmPPPIIM2fOJDY2lvbt2/P222+Tm5vrnN1bndatW7N69WpuvfVWPD09CQ4O5tprr+XkyZPMmjWLG2+8kcWLF/Pzzz/j6+vrfN2jjz7KK6+8Qtu2bWnfvj3//Oc/XRZu9vHx4fHHH2fKlCnY7Xb69u1LXl4e69atw9fXl7vvvrvG7Zo0aRJ9+vThtddeY/To0SxZssTl9i/As88+y8iRI4mKiuLGG29Er9ezbds2duzYwYsvvsjgwYNp06YNd999N7NmzaKgoIBnnnkG4JzxEUIIkB5AIYSbzJs3j4SEBEaOHEliYiKaprFo0aIqt33P5cknn2T8+PHcddddJCYm4u3tzZAhQ855C/SFF17g0KFDtGnThpCQEMDR4/bvf/+bOXPm0KVLF/744w+X2cYAf/vb37jzzju5++67SUxMxMfHp8o4vRkzZjB9+nRmzpxJfHw8Q4cO5aeffiI6OvoCIgO9e/fmv//9L2+++SZdunRh6dKlzuStwpAhQ/jxxx9ZunQpPXr0oHfv3syePZtWrVoBjvGQCxcupLCwkB49enDfffc5ZwHLLWIhxPnoNHcMuBFCCDew2+3Ex8dz8803u+z+0ZC1bt2ayZMn18k2eevWraNv377s27fPZXLN/PnzmTx58jm3ohNCNC2SAAohGqzDhw+zdOlS+vXrR2lpKf/617+YN28e27ZtIz4+vr6rVyOtW7cmPT0dg8HA8ePHa3VXjm+//RZvb2/atm3Lvn37ePTRRwkICGDt2rXOc7y9vbHZbJhMJkkAhRBOMgZQCNFg6fV65s+fz+OPP46maXTs2JHly5c3muQPYNWqVc4Zxz4+PrVadkFBAU8++SRHjhwhODiYQYMG8frrr7ucUzHZRVGUWr22EKJxkx5AIYQQQogmRiaBCCGEEEI0MZIACiGEEEI0MZIACiGEEEI0MZIACiGEEEI0MZIACiGEEEI0MZIACiGEEEI0MZIACiGEEEI0MZIACiGEEEI0MZIACiGEEEI0MZIACiGEEEI0MZIACiGEEEI0MZIACiGEEEI0MZIACiGEEEI0MZIACiGEEEI0MZIACiGEEEI0MZIACiGEEEI0MZIACiGEEEI0MZIACiGEEEI0MZIACiGEEEI0MZIACiGEEEI0MZIACiGEEEI0MZIACiGEEEI0MZIACiGEEEI0MZIACiGEEEI0MZIACiGEEEI0MZIACiGEEEI0MZIACiGEEEI0MZIACiGEEEI0MZIACiGEEEI0MZIACiGEEEI0MZIACiGEEEI0MZIACiGEEEI0MZIACiGEEEI0MZIACiGEEEI0MZIACiGEEEI0Mf8PEOYpTCCheaAAAAAASUVORK5CYII=' width=640.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib widget\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "lat = r_df['latitude'].values\n",
    "lon = r_df['longitude'].values\n",
    "timestamp = r_df['traffic_report_status_date_time'].values\n",
    "year = timestamp.astype('datetime64[Y]').astype(int) + 1970\n",
    "fig, ax = plt.subplots()\n",
    "ax.scatter(lon[year<2020], lat[year<2020], s=0.1, c='C0')\n",
    "ax.scatter(lon[year>=2020], lat[year>=2020], s=0.05, c='C1')\n",
    "ax.grid(True, alpha=0.5)\n",
    "ax.set_xlabel('longitude [deg]')\n",
    "ax.set_ylabel('latitude [deg]')\n",
    "ax.set_aspect('equal')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "6a35d1ca-82cc-4420-91de-36df2f93aeac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10431"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(r_df[r_df['issue_reported']=='LOOSE LIVESTOCK'])"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.11.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}