notebooks/analysis/basic_analysis_one_day.ipynb

{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# **📊 Basic Analysis of One Day**\n",
    "\n",
    "In this notebook, we analyze the data of one day. We use the data of the 3rd of March 2023."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "DATE_FILE = '2023-03-10' # Format YYYY-MM-DD\n",
    "DATA_PATH = f\"../../data/processed/{DATE_FILE}_istdaten_cleaned.parquet\"\n",
    "transport_data = pd.read_parquet(DATA_PATH)\n",
    "\n",
    "OPERATORS_DATA_PATH = f\"../../data/processed/{DATE_FILE}_operators.csv\"\n",
    "operators = pd.read_csv(OPERATORS_DATA_PATH)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>trip_id</th>\n",
       "      <th>product_id</th>\n",
       "      <th>line_text</th>\n",
       "      <th>transport_type</th>\n",
       "      <th>is_additional_trip</th>\n",
       "      <th>is_cancelled</th>\n",
       "      <th>stop_id</th>\n",
       "      <th>arrival_time</th>\n",
       "      <th>arrival_forecast</th>\n",
       "      <th>arrival_forecast_status</th>\n",
       "      <th>departure_time</th>\n",
       "      <th>departure_forecast</th>\n",
       "      <th>departure_forecast_status</th>\n",
       "      <th>is_through_trip</th>\n",
       "      <th>stop_lon</th>\n",
       "      <th>stop_lat</th>\n",
       "      <th>stop_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2023-03-10</td>\n",
       "      <td>80:800631:17230:000</td>\n",
       "      <td>Train</td>\n",
       "      <td>RB</td>\n",
       "      <td>RB</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>8500090</td>\n",
       "      <td>2023-03-10 04:59:00</td>\n",
       "      <td>2023-03-10 04:59:00</td>\n",
       "      <td>FORECAST</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>2612665</td>\n",
       "      <td>1268525</td>\n",
       "      <td>Basel Bad Bf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2023-03-10</td>\n",
       "      <td>80:800631:17233:000</td>\n",
       "      <td>Train</td>\n",
       "      <td>RB</td>\n",
       "      <td>RB</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>8500090</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-03-10 06:07:00</td>\n",
       "      <td>2023-03-10 06:07:00</td>\n",
       "      <td>FORECAST</td>\n",
       "      <td>False</td>\n",
       "      <td>2612665</td>\n",
       "      <td>1268525</td>\n",
       "      <td>Basel Bad Bf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2023-03-10</td>\n",
       "      <td>80:800631:17235:000</td>\n",
       "      <td>Train</td>\n",
       "      <td>RB</td>\n",
       "      <td>RB</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>8500090</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-03-10 06:43:00</td>\n",
       "      <td>2023-03-10 06:43:00</td>\n",
       "      <td>FORECAST</td>\n",
       "      <td>False</td>\n",
       "      <td>2612665</td>\n",
       "      <td>1268525</td>\n",
       "      <td>Basel Bad Bf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2023-03-10</td>\n",
       "      <td>80:800631:17236:000</td>\n",
       "      <td>Train</td>\n",
       "      <td>RB</td>\n",
       "      <td>RB</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>8500090</td>\n",
       "      <td>2023-03-10 06:33:00</td>\n",
       "      <td>2023-03-10 06:37:00</td>\n",
       "      <td>FORECAST</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>2612665</td>\n",
       "      <td>1268525</td>\n",
       "      <td>Basel Bad Bf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2023-03-10</td>\n",
       "      <td>80:800631:17237:000</td>\n",
       "      <td>Train</td>\n",
       "      <td>RB</td>\n",
       "      <td>RB</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>8500090</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-03-10 07:15:00</td>\n",
       "      <td>2023-03-10 07:15:00</td>\n",
       "      <td>FORECAST</td>\n",
       "      <td>False</td>\n",
       "      <td>2612665</td>\n",
       "      <td>1268525</td>\n",
       "      <td>Basel Bad Bf</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        date              trip_id product_id line_text transport_type  \\\n",
       "0 2023-03-10  80:800631:17230:000      Train        RB             RB   \n",
       "1 2023-03-10  80:800631:17233:000      Train        RB             RB   \n",
       "3 2023-03-10  80:800631:17235:000      Train        RB             RB   \n",
       "4 2023-03-10  80:800631:17236:000      Train        RB             RB   \n",
       "5 2023-03-10  80:800631:17237:000      Train        RB             RB   \n",
       "\n",
       "   is_additional_trip  is_cancelled  stop_id        arrival_time  \\\n",
       "0               False         False  8500090 2023-03-10 04:59:00   \n",
       "1               False         False  8500090                 NaT   \n",
       "3               False         False  8500090                 NaT   \n",
       "4               False         False  8500090 2023-03-10 06:33:00   \n",
       "5               False         False  8500090                 NaT   \n",
       "\n",
       "     arrival_forecast arrival_forecast_status      departure_time  \\\n",
       "0 2023-03-10 04:59:00                FORECAST                 NaT   \n",
       "1                 NaT                     NaN 2023-03-10 06:07:00   \n",
       "3                 NaT                     NaN 2023-03-10 06:43:00   \n",
       "4 2023-03-10 06:37:00                FORECAST                 NaT   \n",
       "5                 NaT                     NaN 2023-03-10 07:15:00   \n",
       "\n",
       "   departure_forecast departure_forecast_status  is_through_trip  stop_lon  \\\n",
       "0                 NaT                       NaN            False   2612665   \n",
       "1 2023-03-10 06:07:00                  FORECAST            False   2612665   \n",
       "3 2023-03-10 06:43:00                  FORECAST            False   2612665   \n",
       "4                 NaT                       NaN            False   2612665   \n",
       "5 2023-03-10 07:15:00                  FORECAST            False   2612665   \n",
       "\n",
       "   stop_lat     stop_name  \n",
       "0   1268525  Basel Bad Bf  \n",
       "1   1268525  Basel Bad Bf  \n",
       "3   1268525  Basel Bad Bf  \n",
       "4   1268525  Basel Bad Bf  \n",
       "5   1268525  Basel Bad Bf  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "transport_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
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       "      <th>operator_name</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>80:800631</td>\n",
       "      <td>DB</td>\n",
       "      <td>DB Regio AG Baden-Württemberg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>80:800693</td>\n",
       "      <td>DB Regio</td>\n",
       "      <td>DB ZugBus Regionalverkehr Alb-Bodensee</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>80:80____</td>\n",
       "      <td>DB</td>\n",
       "      <td>DB Fernverkehr AG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>80:sbg034</td>\n",
       "      <td>sbg034</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>81:817000</td>\n",
       "      <td>NeTS-ÖBB</td>\n",
       "      <td>NeTS Planung ÖBB</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  operator_id operator_abbreviation                           operator_name\n",
       "0   80:800631                    DB           DB Regio AG Baden-Württemberg\n",
       "1   80:800693              DB Regio  DB ZugBus Regionalverkehr Alb-Bodensee\n",
       "2   80:80____                    DB                       DB Fernverkehr AG\n",
       "3   80:sbg034                sbg034                                  sbg034\n",
       "4   81:817000              NeTS-ÖBB                        NeTS Planung ÖBB"
      ]
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     "execution_count": 4,
     "metadata": {},
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   ],
   "source": [
    "operators.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>departure_forecast</th>\n",
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       "      <th>is_through_trip</th>\n",
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2023-03-10</td>\n",
       "      <td>80:800631:17230:000</td>\n",
       "      <td>Train</td>\n",
       "      <td>RB</td>\n",
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       "      <td>False</td>\n",
       "      <td>8500090</td>\n",
       "      <td>2023-03-10 04:59:00</td>\n",
       "      <td>2023-03-10 04:59:00</td>\n",
       "      <td>...</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>2612665</td>\n",
       "      <td>1268525</td>\n",
       "      <td>Basel Bad Bf</td>\n",
       "      <td>80:800631</td>\n",
       "      <td>DB</td>\n",
       "      <td>DB Regio AG Baden-Württemberg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2023-03-10</td>\n",
       "      <td>80:800631:17233:000</td>\n",
       "      <td>Train</td>\n",
       "      <td>RB</td>\n",
       "      <td>RB</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>8500090</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>...</td>\n",
       "      <td>2023-03-10 06:07:00</td>\n",
       "      <td>2023-03-10 06:07:00</td>\n",
       "      <td>FORECAST</td>\n",
       "      <td>False</td>\n",
       "      <td>2612665</td>\n",
       "      <td>1268525</td>\n",
       "      <td>Basel Bad Bf</td>\n",
       "      <td>80:800631</td>\n",
       "      <td>DB</td>\n",
       "      <td>DB Regio AG Baden-Württemberg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2023-03-10</td>\n",
       "      <td>80:800631:17235:000</td>\n",
       "      <td>Train</td>\n",
       "      <td>RB</td>\n",
       "      <td>RB</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>8500090</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>...</td>\n",
       "      <td>2023-03-10 06:43:00</td>\n",
       "      <td>2023-03-10 06:43:00</td>\n",
       "      <td>FORECAST</td>\n",
       "      <td>False</td>\n",
       "      <td>2612665</td>\n",
       "      <td>1268525</td>\n",
       "      <td>Basel Bad Bf</td>\n",
       "      <td>80:800631</td>\n",
       "      <td>DB</td>\n",
       "      <td>DB Regio AG Baden-Württemberg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2023-03-10</td>\n",
       "      <td>80:800631:17236:000</td>\n",
       "      <td>Train</td>\n",
       "      <td>RB</td>\n",
       "      <td>RB</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>8500090</td>\n",
       "      <td>2023-03-10 06:33:00</td>\n",
       "      <td>2023-03-10 06:37:00</td>\n",
       "      <td>...</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>2612665</td>\n",
       "      <td>1268525</td>\n",
       "      <td>Basel Bad Bf</td>\n",
       "      <td>80:800631</td>\n",
       "      <td>DB</td>\n",
       "      <td>DB Regio AG Baden-Württemberg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2023-03-10</td>\n",
       "      <td>80:800631:17237:000</td>\n",
       "      <td>Train</td>\n",
       "      <td>RB</td>\n",
       "      <td>RB</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>8500090</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>...</td>\n",
       "      <td>2023-03-10 07:15:00</td>\n",
       "      <td>2023-03-10 07:15:00</td>\n",
       "      <td>FORECAST</td>\n",
       "      <td>False</td>\n",
       "      <td>2612665</td>\n",
       "      <td>1268525</td>\n",
       "      <td>Basel Bad Bf</td>\n",
       "      <td>80:800631</td>\n",
       "      <td>DB</td>\n",
       "      <td>DB Regio AG Baden-Württemberg</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        date              trip_id product_id line_text transport_type  \\\n",
       "0 2023-03-10  80:800631:17230:000      Train        RB             RB   \n",
       "1 2023-03-10  80:800631:17233:000      Train        RB             RB   \n",
       "2 2023-03-10  80:800631:17235:000      Train        RB             RB   \n",
       "3 2023-03-10  80:800631:17236:000      Train        RB             RB   \n",
       "4 2023-03-10  80:800631:17237:000      Train        RB             RB   \n",
       "\n",
       "   is_additional_trip  is_cancelled  stop_id        arrival_time  \\\n",
       "0               False         False  8500090 2023-03-10 04:59:00   \n",
       "1               False         False  8500090                 NaT   \n",
       "2               False         False  8500090                 NaT   \n",
       "3               False         False  8500090 2023-03-10 06:33:00   \n",
       "4               False         False  8500090                 NaT   \n",
       "\n",
       "     arrival_forecast  ...      departure_time  departure_forecast  \\\n",
       "0 2023-03-10 04:59:00  ...                 NaT                 NaT   \n",
       "1                 NaT  ... 2023-03-10 06:07:00 2023-03-10 06:07:00   \n",
       "2                 NaT  ... 2023-03-10 06:43:00 2023-03-10 06:43:00   \n",
       "3 2023-03-10 06:37:00  ...                 NaT                 NaT   \n",
       "4                 NaT  ... 2023-03-10 07:15:00 2023-03-10 07:15:00   \n",
       "\n",
       "  departure_forecast_status is_through_trip  stop_lon  stop_lat     stop_name  \\\n",
       "0                       NaN           False   2612665   1268525  Basel Bad Bf   \n",
       "1                  FORECAST           False   2612665   1268525  Basel Bad Bf   \n",
       "2                  FORECAST           False   2612665   1268525  Basel Bad Bf   \n",
       "3                       NaN           False   2612665   1268525  Basel Bad Bf   \n",
       "4                  FORECAST           False   2612665   1268525  Basel Bad Bf   \n",
       "\n",
       "  operator_id operator_abbreviation                  operator_name  \n",
       "0   80:800631                    DB  DB Regio AG Baden-Württemberg  \n",
       "1   80:800631                    DB  DB Regio AG Baden-Württemberg  \n",
       "2   80:800631                    DB  DB Regio AG Baden-Württemberg  \n",
       "3   80:800631                    DB  DB Regio AG Baden-Württemberg  \n",
       "4   80:800631                    DB  DB Regio AG Baden-Württemberg  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def get_operator_id(row):\n",
    "    trip_id = row['trip_id']\n",
    "    operator_id = ':'.join(trip_id.split(':')[:2])\n",
    "    return operator_id\n",
    "\n",
    "transport_data = transport_data.assign(operator_id=transport_data.apply(get_operator_id, axis=1))\n",
    "transport_data = transport_data.merge(operators, on='operator_id')\n",
    "transport_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<svg  width=\"275\" height=\"55\"><rect x=\"0\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#0173b2;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"55\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#de8f05;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"110\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#029e73;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"165\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#d55e00;stroke-width:2;stroke:rgb(255,255,255)\"/><rect x=\"220\" y=\"0\" width=\"55\" height=\"55\" style=\"fill:#cc78bc;stroke-width:2;stroke:rgb(255,255,255)\"/></svg>"
      ],
      "text/plain": [
       "[(0.00392156862745098, 0.45098039215686275, 0.6980392156862745),\n",
       " (0.8705882352941177, 0.5607843137254902, 0.0196078431372549),\n",
       " (0.00784313725490196, 0.6196078431372549, 0.45098039215686275),\n",
       " (0.8352941176470589, 0.3686274509803922, 0.0),\n",
       " (0.8, 0.47058823529411764, 0.7372549019607844)]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "N_COLORS = 5 \n",
    "palette = sns.color_palette('colorblind', n_colors=N_COLORS)\n",
    "palette"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "product_to_color = dict(zip(['Bus', 'Train', 'Tram', 'Metro', 'Rack_railway'], palette))"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## **🎫 Swiss Transport Products Popularity**\n",
    "\n",
    "In this section, we examine the popularity of various Swiss transport products based on the number of entries."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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>count</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>product_id</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Bus</th>\n",
       "      <td>113966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Train</th>\n",
       "      <td>13536</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tram</th>\n",
       "      <td>11131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Metro</th>\n",
       "      <td>357</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rack_railway</th>\n",
       "      <td>181</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               count\n",
       "product_id          \n",
       "Bus           113966\n",
       "Train          13536\n",
       "Tram           11131\n",
       "Metro            357\n",
       "Rack_railway     181"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "products = transport_data[['trip_id', 'product_id']] \\\n",
    "    .drop_duplicates() \\\n",
    "    .groupby('product_id') \\\n",
    "    .count() \\\n",
    "    .rename(columns={'trip_id': 'count'}) \\\n",
    "    .sort_values('count', ascending=False)\n",
    "\n",
    "products.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(10, 10))\n",
    "sns.barplot(x='count', \n",
    "            y=products.index, \n",
    "            data=products, \n",
    "            ax=ax, \n",
    "            order=products.index, \n",
    "            palette=product_to_color\n",
    ")\n",
    "ax.set_title('Number of trips per product')\n",
    "ax.set_xlabel('Number of trips')\n",
    "ax.set_ylabel('Product')\n",
    "plt.xscale('log')\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The Swiss transport products analysis highlights the popularity of buses, which can be attributed to their extensive coverage, flexibility, and cost-effectiveness. Trains follow as the next most popular mode, offering efficiency and speed for longer distances. Trams and metro systems cater to urban commuters, while rack railways serve passengers in mountainous areas. This diverse range of transport options ensures a comprehensive and reliable public transportation network in Switzerland."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## **🚆 Types of Transports in Swiss Railways**\n",
    "\n",
    "In this section, we investigate the types of transports within the Swiss railway system. Every product in the Swiss railway system is classified into multiple transport types."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "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>count</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>transport_type</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>B</th>\n",
       "      <td>113919</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>T</th>\n",
       "      <td>11131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S</th>\n",
       "      <td>8079</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R</th>\n",
       "      <td>2525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RE</th>\n",
       "      <td>1133</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 count\n",
       "transport_type        \n",
       "B               113919\n",
       "T                11131\n",
       "S                 8079\n",
       "R                 2525\n",
       "RE                1133"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "transport_types = transport_data[['trip_id', 'transport_type']] \\\n",
    "    .drop_duplicates() \\\n",
    "    .groupby('transport_type') \\\n",
    "    .count() \\\n",
    "    .rename(columns={'trip_id': 'count'}) \\\n",
    "    .sort_values('count', ascending=False)\n",
    "\n",
    "transport_types.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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>transport_type</th>\n",
       "      <th>product_id</th>\n",
       "      <th>count_transport_type</th>\n",
       "      <th>count_product</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>B</td>\n",
       "      <td>Bus</td>\n",
       "      <td>113919</td>\n",
       "      <td>113966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>EXB</td>\n",
       "      <td>Bus</td>\n",
       "      <td>24</td>\n",
       "      <td>113966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CAR</td>\n",
       "      <td>Bus</td>\n",
       "      <td>23</td>\n",
       "      <td>113966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>S</td>\n",
       "      <td>Train</td>\n",
       "      <td>8079</td>\n",
       "      <td>13536</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>R</td>\n",
       "      <td>Train</td>\n",
       "      <td>2525</td>\n",
       "      <td>13536</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  transport_type product_id  count_transport_type  count_product\n",
       "0              B        Bus                113919         113966\n",
       "1            EXB        Bus                    24         113966\n",
       "2            CAR        Bus                    23         113966\n",
       "4              S      Train                  8079          13536\n",
       "5              R      Train                  2525          13536"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "transport_types_by_product_id = transport_data[['trip_id', 'transport_type', 'product_id']] \\\n",
    "    .drop_duplicates() \\\n",
    "    .groupby(['transport_type', 'product_id']) \\\n",
    "    .count() \\\n",
    "    .rename(columns={'trip_id': 'count'}) \\\n",
    "    .reset_index() \\\n",
    "    .sort_values('count', ascending=False)\n",
    "transport_types_by_product_id = transport_types_by_product_id[transport_types_by_product_id['count'] > 0]\n",
    "\n",
    "assert transport_types_by_product_id.set_index('transport_type').index.is_unique\n",
    "\n",
    "# Merge the products and transport_types_by_product_id dataframes\n",
    "transport_types_by_product_id = transport_types_by_product_id.merge(\n",
    "    products.reset_index(), on='product_id', suffixes=('_transport_type', '_product')\n",
    ")\n",
    "\n",
    "# Sort the data by product and transport type counts\n",
    "transport_types_by_product_id = transport_types_by_product_id.sort_values(\n",
    "    ['count_product', 'count_transport_type'], ascending=[False, False]\n",
    ")\n",
    "\n",
    "transport_types_by_product_id.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create the seaborn horizontal bar plot\n",
    "plt.figure(figsize=(12, 8))\n",
    "sns.barplot(\n",
    "    x='count_transport_type',\n",
    "    y='transport_type',\n",
    "    hue='product_id',\n",
    "    data=transport_types_by_product_id,\n",
    "    orient='h',\n",
    "    dodge=False,\n",
    "    order=transport_types_by_product_id['transport_type'].unique(),\n",
    "    palette=product_to_color\n",
    ")\n",
    "\n",
    "# Customize the plot\n",
    "plt.xlabel('Count of Transport Type')\n",
    "plt.ylabel('Transport Type')\n",
    "plt.title('Transport Types by Product')\n",
    "plt.legend(title='Product ID', loc='lower right')\n",
    "plt.xscale('log')\n",
    "\n",
    "# Display the plot\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Trains are divided in $16$ different transport types each having significantly different number of entries."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## **🛑 Cancelled Journeys**\n",
    "\n",
    "In this section, we focus on examining the number of cancelled entries. We check the operator with the highest number of cancelled entries for the day."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of cancelled entries: 10671\n"
     ]
    }
   ],
   "source": [
    "cancelled_data = transport_data[transport_data['is_cancelled']]\n",
    "print(f\"Number of cancelled entries: {len(cancelled_data)}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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>product_id</th>\n",
       "      <th>transport_type</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Bus</td>\n",
       "      <td>B</td>\n",
       "      <td>6026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>Tram</td>\n",
       "      <td>T</td>\n",
       "      <td>4642</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Bus</td>\n",
       "      <td>CAR</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    product_id transport_type  count\n",
       "0          Bus              B   6026\n",
       "106       Tram              T   4642\n",
       "1          Bus            CAR      3"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cancelled_trips = transport_data[transport_data['is_cancelled']] \\\n",
    "    .groupby(['product_id', 'transport_type']) \\\n",
    "    .agg({'trip_id': 'count'}) \\\n",
    "    .rename(columns={'trip_id': 'count'}) \\\n",
    "    .reset_index() \\\n",
    "    .sort_values('count', ascending=False)\n",
    "cancelled_trips = cancelled_trips[cancelled_trips['count'] > 0]\n",
    "\n",
    "cancelled_trips.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ratio of cancelled entries for the Bus operator Verkehrsbetriebe Zürich: 1.89%\n"
     ]
    }
   ],
   "source": [
    "# Get the entries of the Bus operator with the most cancelled trips on that day\n",
    "cancelled_B_trips = transport_data[transport_data['is_cancelled'] & (transport_data['transport_type'] == 'B')]\n",
    "most_cancelled_B_trips = cancelled_B_trips['operator_name'] \\\n",
    "    .value_counts() \\\n",
    "    .head(1) \\\n",
    "    .index[0]\n",
    "cancelled_B_trips_VBZ = cancelled_B_trips[cancelled_B_trips['operator_name'] == most_cancelled_B_trips]\n",
    "\n",
    "# Compute the ratio of cancelled trips for the Bus operator\n",
    "B_trips_VBZ = transport_data[(transport_data['transport_type'] == 'B') & (transport_data['operator_name'] == most_cancelled_B_trips)]\n",
    "ratio_cancelled_B_trips_VBZ = len(cancelled_B_trips_VBZ) / len(B_trips_VBZ)\n",
    "print(f\"Ratio of cancelled entries for the Bus operator {most_cancelled_B_trips}: {ratio_cancelled_B_trips_VBZ:.2%}\")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "On that day, approximately $1.9\\%$ of the scheduled stops for the _Verkehrsbetriebe Zürich_ operator did not have a bus arriving."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## **⌚ Punctuality of Swiss Railways**\n",
    "\n",
    "In this section, we focus on evaluating the delays in both arrival and departure times."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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>date</th>\n",
       "      <th>trip_id</th>\n",
       "      <th>product_id</th>\n",
       "      <th>line_text</th>\n",
       "      <th>transport_type</th>\n",
       "      <th>is_additional_trip</th>\n",
       "      <th>is_cancelled</th>\n",
       "      <th>stop_id</th>\n",
       "      <th>arrival_time</th>\n",
       "      <th>arrival_forecast</th>\n",
       "      <th>...</th>\n",
       "      <th>departure_forecast_status</th>\n",
       "      <th>is_through_trip</th>\n",
       "      <th>stop_lon</th>\n",
       "      <th>stop_lat</th>\n",
       "      <th>stop_name</th>\n",
       "      <th>operator_id</th>\n",
       "      <th>operator_abbreviation</th>\n",
       "      <th>operator_name</th>\n",
       "      <th>arrival_delay</th>\n",
       "      <th>departure_delay</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2023-03-10</td>\n",
       "      <td>80:800631:17230:000</td>\n",
       "      <td>Train</td>\n",
       "      <td>RB</td>\n",
       "      <td>RB</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>8500090</td>\n",
       "      <td>2023-03-10 04:59:00</td>\n",
       "      <td>2023-03-10 04:59:00</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>2612665</td>\n",
       "      <td>1268525</td>\n",
       "      <td>Basel Bad Bf</td>\n",
       "      <td>80:800631</td>\n",
       "      <td>DB</td>\n",
       "      <td>DB Regio AG Baden-Württemberg</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2023-03-10</td>\n",
       "      <td>80:800631:17233:000</td>\n",
       "      <td>Train</td>\n",
       "      <td>RB</td>\n",
       "      <td>RB</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>8500090</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>...</td>\n",
       "      <td>FORECAST</td>\n",
       "      <td>False</td>\n",
       "      <td>2612665</td>\n",
       "      <td>1268525</td>\n",
       "      <td>Basel Bad Bf</td>\n",
       "      <td>80:800631</td>\n",
       "      <td>DB</td>\n",
       "      <td>DB Regio AG Baden-Württemberg</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2023-03-10</td>\n",
       "      <td>80:800631:17235:000</td>\n",
       "      <td>Train</td>\n",
       "      <td>RB</td>\n",
       "      <td>RB</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>8500090</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>...</td>\n",
       "      <td>FORECAST</td>\n",
       "      <td>False</td>\n",
       "      <td>2612665</td>\n",
       "      <td>1268525</td>\n",
       "      <td>Basel Bad Bf</td>\n",
       "      <td>80:800631</td>\n",
       "      <td>DB</td>\n",
       "      <td>DB Regio AG Baden-Württemberg</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2023-03-10</td>\n",
       "      <td>80:800631:17236:000</td>\n",
       "      <td>Train</td>\n",
       "      <td>RB</td>\n",
       "      <td>RB</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>8500090</td>\n",
       "      <td>2023-03-10 06:33:00</td>\n",
       "      <td>2023-03-10 06:37:00</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>2612665</td>\n",
       "      <td>1268525</td>\n",
       "      <td>Basel Bad Bf</td>\n",
       "      <td>80:800631</td>\n",
       "      <td>DB</td>\n",
       "      <td>DB Regio AG Baden-Württemberg</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2023-03-10</td>\n",
       "      <td>80:800631:17237:000</td>\n",
       "      <td>Train</td>\n",
       "      <td>RB</td>\n",
       "      <td>RB</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>8500090</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>...</td>\n",
       "      <td>FORECAST</td>\n",
       "      <td>False</td>\n",
       "      <td>2612665</td>\n",
       "      <td>1268525</td>\n",
       "      <td>Basel Bad Bf</td>\n",
       "      <td>80:800631</td>\n",
       "      <td>DB</td>\n",
       "      <td>DB Regio AG Baden-Württemberg</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        date              trip_id product_id line_text transport_type  \\\n",
       "0 2023-03-10  80:800631:17230:000      Train        RB             RB   \n",
       "1 2023-03-10  80:800631:17233:000      Train        RB             RB   \n",
       "2 2023-03-10  80:800631:17235:000      Train        RB             RB   \n",
       "3 2023-03-10  80:800631:17236:000      Train        RB             RB   \n",
       "4 2023-03-10  80:800631:17237:000      Train        RB             RB   \n",
       "\n",
       "   is_additional_trip  is_cancelled  stop_id        arrival_time  \\\n",
       "0               False         False  8500090 2023-03-10 04:59:00   \n",
       "1               False         False  8500090                 NaT   \n",
       "2               False         False  8500090                 NaT   \n",
       "3               False         False  8500090 2023-03-10 06:33:00   \n",
       "4               False         False  8500090                 NaT   \n",
       "\n",
       "     arrival_forecast  ... departure_forecast_status is_through_trip stop_lon  \\\n",
       "0 2023-03-10 04:59:00  ...                       NaN           False  2612665   \n",
       "1                 NaT  ...                  FORECAST           False  2612665   \n",
       "2                 NaT  ...                  FORECAST           False  2612665   \n",
       "3 2023-03-10 06:37:00  ...                       NaN           False  2612665   \n",
       "4                 NaT  ...                  FORECAST           False  2612665   \n",
       "\n",
       "  stop_lat     stop_name  operator_id  operator_abbreviation  \\\n",
       "0  1268525  Basel Bad Bf    80:800631                     DB   \n",
       "1  1268525  Basel Bad Bf    80:800631                     DB   \n",
       "2  1268525  Basel Bad Bf    80:800631                     DB   \n",
       "3  1268525  Basel Bad Bf    80:800631                     DB   \n",
       "4  1268525  Basel Bad Bf    80:800631                     DB   \n",
       "\n",
       "                   operator_name arrival_delay departure_delay  \n",
       "0  DB Regio AG Baden-Württemberg           0.0             NaN  \n",
       "1  DB Regio AG Baden-Württemberg           NaN             0.0  \n",
       "2  DB Regio AG Baden-Württemberg           NaN             0.0  \n",
       "3  DB Regio AG Baden-Württemberg           4.0             NaN  \n",
       "4  DB Regio AG Baden-Württemberg           NaN             0.0  \n",
       "\n",
       "[5 rows x 23 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# We add a new column to the datafram that contains the delay in minutes\n",
    "transport_data[\"arrival_delay\"] = (transport_data[\"arrival_forecast\"] - transport_data[\"arrival_time\"]).dt.total_seconds() / 60\n",
    "transport_data[\"departure_delay\"] = (transport_data[\"departure_forecast\"] - transport_data[\"departure_time\"]).dt.total_seconds() / 60\n",
    "\n",
    "transport_data[['arrival_delay', 'departure_delay']].describe().apply(lambda s: s.apply('{0:.5f}'.format))\n",
    "\n",
    "transport_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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>arrival_delay</th>\n",
       "      <th>departure_delay</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>2170604.00000</td>\n",
       "      <td>2170418.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1.41408</td>\n",
       "      <td>1.60953</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>5.57046</td>\n",
       "      <td>5.55495</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>-1442.01667</td>\n",
       "      <td>-1439.85000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.36667</td>\n",
       "      <td>0.53333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1.08333</td>\n",
       "      <td>1.23333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2.05000</td>\n",
       "      <td>2.20000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>718.68333</td>\n",
       "      <td>718.68333</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       arrival_delay departure_delay\n",
       "count  2170604.00000   2170418.00000\n",
       "mean         1.41408         1.60953\n",
       "std          5.57046         5.55495\n",
       "min      -1442.01667     -1439.85000\n",
       "25%          0.36667         0.53333\n",
       "50%          1.08333         1.23333\n",
       "75%          2.05000         2.20000\n",
       "max        718.68333       718.68333"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "transport_data[['arrival_delay', 'departure_delay']].describe().apply(lambda s: s.apply('{0:.5f}'.format))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### **🛬 Arrival Delays**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'Histogram of arrival delays'}, xlabel='arrival_delay', ylabel='Count'>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# This histogram corresponds to the delays in minutes for each arrival of each line\n",
    "plt.title(\"Histogram of arrival delays\")\n",
    "sns.histplot(data=transport_data, x=\"arrival_delay\", bins=100, log_scale=(False, True))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'Histogram of arrival delays (within 200 minutes)'}, xlabel='arrival_delay', ylabel='Count'>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# This histogram corresponds to the delays in minutes for each departure of each line (we remove the outliers)\n",
    "MAX_DELAY = 200\n",
    "\n",
    "plt.title(f\"Histogram of arrival delays (within {MAX_DELAY} minutes)\")\n",
    "sns.histplot(data=transport_data[(transport_data[\"arrival_delay\"] > -MAX_DELAY) & (transport_data[\"arrival_delay\"] < MAX_DELAY)], x=\"arrival_delay\", bins=100, log_scale=(False, True))"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The asymmetric distribution in the late train histogram can be attributed to efforts by train operators to minimize delays and the natural limit on early arrivals, leading to a quicker decline on the left side. On the right side, unpredictable factors such as equipment malfunctions, weather disruptions, and human errors can result in a wider spread of delays."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### **🛫 Departure Delays**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'Histogram of departure delays (witin 200 minutes)'}, xlabel='departure_delay', ylabel='Count'>"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# This histogram corresponds to the delays in minutes for each departure of each line (we remove the outliers)\n",
    "plt.title(f\"Histogram of departure delays (witin {MAX_DELAY} minutes)\")\n",
    "sns.histplot(data=transport_data[(transport_data[\"departure_delay\"] > -MAX_DELAY) & (transport_data[\"departure_delay\"] < MAX_DELAY)], x=\"departure_delay\", bins=100, log_scale=(False, True))"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Departure and arrival delays look similar because they share common underlying factors that contribute to disruptions in train schedules."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## **🏅 Comparing Operators in Swiss Railways**\n",
    "\n",
    "In this section, we present the top $10$ operators in terms of their punctuality in both arrival and departure times."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "counts = transport_data.groupby('operator_name')['transport_type'].count().sort_values(ascending=False)[:10]\n",
    "top_operators = transport_data[transport_data['operator_name'].isin(counts.index)]\n",
    "\n",
    "# Get the mean arrival delay for each operator\n",
    "median_arrival_delay = top_operators.groupby('operator_name')['arrival_delay'].median().sort_values()\n",
    "\n",
    "# Set the order of the boxplot based on the mean arrival delay\n",
    "boxplot_order = median_arrival_delay.index.tolist()\n",
    "\n",
    "plt.title(\"Boxplot of arrival delays for the top 10 operators\")\n",
    "sns.boxplot(x='arrival_delay', y='operator_name', data=top_operators, showfliers=False, order=boxplot_order, palette='colorblind')\n",
    "plt.xlabel(\"Arrival delay (minutes)\")\n",
    "plt.ylabel(\"Operator name\")\n",
    "plt.show()\n",
    "\n",
    "# Get the mean departure delay for each operator\n",
    "median_departure_delay = top_operators.groupby('operator_name')['departure_delay'].median().sort_values()\n",
    "\n",
    "# Set the order of the boxplot based on the mean arrival delay\n",
    "boxplot_order = median_departure_delay.index.tolist()\n",
    "\n",
    "\n",
    "plt.title(\"Boxplot of departure delays for the top 10 operators\")\n",
    "sns.boxplot(x='departure_delay', y='operator_name', data=top_operators, showfliers=False, order=boxplot_order, palette='colorblind')\n",
    "plt.xlabel(\"Arrival delay (minutes)\")\n",
    "plt.ylabel(\"Operator name\")\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## **🚉 Identifying High-Traffic Areas**\n",
    "\n",
    "In this section, we focus on identifying the high-traffic areas in Switzerland. We use the number of entries as a proxy for traffic."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Group the data by line_text and stop_name and count the number of rows in each group\n",
    "grouped_data = transport_data.groupby(['line_text', 'stop_name']).size().reset_index(name='count')\n",
    "\n",
    "# Sort the data by count in descending order\n",
    "sorted_data = grouped_data.sort_values('count', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "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>line_text</th>\n",
       "      <th>stop_name</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>754903</th>\n",
       "      <td>13</td>\n",
       "      <td>Zürich, Escher-Wyss-Platz</td>\n",
       "      <td>588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22532</th>\n",
       "      <td>10</td>\n",
       "      <td>Bern, Bahnhof</td>\n",
       "      <td>534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22670</th>\n",
       "      <td>10</td>\n",
       "      <td>Bern, Viktoriaplatz</td>\n",
       "      <td>529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22636</th>\n",
       "      <td>10</td>\n",
       "      <td>Bern, Rosengarten</td>\n",
       "      <td>529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22639</th>\n",
       "      <td>10</td>\n",
       "      <td>Bern, Salem</td>\n",
       "      <td>529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22648</th>\n",
       "      <td>10</td>\n",
       "      <td>Bern, Schönburg</td>\n",
       "      <td>529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22646</th>\n",
       "      <td>10</td>\n",
       "      <td>Bern, Schosshaldenfriedhof</td>\n",
       "      <td>528</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22574</th>\n",
       "      <td>10</td>\n",
       "      <td>Bern, Galgenfeld</td>\n",
       "      <td>528</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34275</th>\n",
       "      <td>10</td>\n",
       "      <td>Ostermundigen, Waldeck</td>\n",
       "      <td>528</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34263</th>\n",
       "      <td>10</td>\n",
       "      <td>Ostermundigen, Bahnhof</td>\n",
       "      <td>528</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22697</th>\n",
       "      <td>10</td>\n",
       "      <td>Bern, Zytglogge</td>\n",
       "      <td>527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34278</th>\n",
       "      <td>10</td>\n",
       "      <td>Ostermundigen, Zollgasse</td>\n",
       "      <td>527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34277</th>\n",
       "      <td>10</td>\n",
       "      <td>Ostermundigen, Wegmühlegässl</td>\n",
       "      <td>527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7235491</th>\n",
       "      <td>5</td>\n",
       "      <td>Villars-sur-Glâne, gare</td>\n",
       "      <td>520</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22618</th>\n",
       "      <td>10</td>\n",
       "      <td>Bern, Monbijou</td>\n",
       "      <td>499</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30065</th>\n",
       "      <td>10</td>\n",
       "      <td>Köniz, Schloss</td>\n",
       "      <td>497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30069</th>\n",
       "      <td>10</td>\n",
       "      <td>Köniz, Zentrum</td>\n",
       "      <td>497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31356</th>\n",
       "      <td>10</td>\n",
       "      <td>Liebefeld, Liebefeld Park</td>\n",
       "      <td>497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30059</th>\n",
       "      <td>10</td>\n",
       "      <td>Köniz, Brühlplatz</td>\n",
       "      <td>497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31354</th>\n",
       "      <td>10</td>\n",
       "      <td>Liebefeld, Hessstrasse</td>\n",
       "      <td>496</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        line_text                     stop_name  count\n",
       "754903         13     Zürich, Escher-Wyss-Platz    588\n",
       "22532          10                 Bern, Bahnhof    534\n",
       "22670          10           Bern, Viktoriaplatz    529\n",
       "22636          10             Bern, Rosengarten    529\n",
       "22639          10                   Bern, Salem    529\n",
       "22648          10               Bern, Schönburg    529\n",
       "22646          10    Bern, Schosshaldenfriedhof    528\n",
       "22574          10              Bern, Galgenfeld    528\n",
       "34275          10        Ostermundigen, Waldeck    528\n",
       "34263          10        Ostermundigen, Bahnhof    528\n",
       "22697          10               Bern, Zytglogge    527\n",
       "34278          10      Ostermundigen, Zollgasse    527\n",
       "34277          10  Ostermundigen, Wegmühlegässl    527\n",
       "7235491         5       Villars-sur-Glâne, gare    520\n",
       "22618          10                Bern, Monbijou    499\n",
       "30065          10                Köniz, Schloss    497\n",
       "30069          10                Köniz, Zentrum    497\n",
       "31356          10     Liebefeld, Liebefeld Park    497\n",
       "30059          10             Köniz, Brühlplatz    497\n",
       "31354          10        Liebefeld, Hessstrasse    496"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Print the top 20 busiest lines and stops\n",
    "sorted_data.head(20)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The busiest line-stop pair is _Zürich, Escher-Wyss-Platz_ with line $13$ that goes through the station $588$ times."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Do the same but just to find the buisiest stop\n",
    "grouped_data = transport_data.groupby(['stop_name']).size().reset_index(name='count')\n",
    "sorted_data = grouped_data.sort_values('count', ascending=False)\n",
    "sorted_data.head(20)\n",
    "\n",
    "plt.barh(sorted_data['stop_name'].iloc[:20], sorted_data['count'].iloc[:20])\n",
    "plt.gca().invert_yaxis()\n",
    "plt.xlabel(\"Number of arrivals/departures\")\n",
    "plt.title(\"Top 20 busiest stops\")\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The busiest stop is _Bern, Bahnhof_, followed by _Genève, gare Cornavin_."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## **🕒 Identifying Rush Hour in Swiss Railways**\n",
    "\n",
    "In this section, we focus on identifying the rush hour in Swiss transport systems."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "transport_data['arrival_hour'] = transport_data['arrival_time'].dt.hour"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.histplot(data=transport_data, \n",
    "             x=\"arrival_hour\", \n",
    "             bins=24, \n",
    "             hue=\"product_id\", \n",
    "             multiple=\"stack\", \n",
    "             palette=product_to_color,\n",
    "             discrete=True,\n",
    ")\n",
    "plt.title(\"Arrival hour distribution for each product\")\n",
    "plt.xlabel(\"Arrival hour\")\n",
    "plt.ylabel(\"Number of arrivals\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x400 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Get the unique product_ids\n",
    "unique_product_ids = transport_data['product_id'].unique()\n",
    "\n",
    "# Create a FacetGrid with one row and a column for each product_id\n",
    "g = sns.FacetGrid(transport_data, \n",
    "                  col=\"product_id\", \n",
    "                  col_wrap=len(unique_product_ids), \n",
    "                  hue='product_id', \n",
    "                  palette=product_to_color, \n",
    "                  height=4, \n",
    "                  aspect=1,\n",
    "                  sharey=False,\n",
    ")\n",
    "\n",
    "# Map the histplot function to each subplot\n",
    "g.map(sns.histplot, 'arrival_hour', bins=24, discrete=True, alpha=0.7)\n",
    "\n",
    "# Set the titles and labels\n",
    "g.set_titles(\"{col_name}\")\n",
    "g.set_axis_labels(\"Arrival Hour\", \"Number of Arrivals\")\n",
    "\n",
    "# Show the plot\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can clearly see the peak hours in the graph above. The peak hours are $6:00$ to $8:00$ and $16:00$ to $18:00$. The rack railway is more consistent throughout the day."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## **📍 Investigating Delays at Train Stops**\n",
    "\n",
    "In this section, we investingate on finding the stations with the most delays."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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bFl1dXd566y1CQ0ML7VO1alUAli5dStWqVVmxYoXWZ+3hG2Kf1vbt29XR7MI+k/v27ePEiRPUrFlTbXuav4zky78OM2fO5J9//mHZsmVkZWUxcOBAtc+xY8f47bffiI2N1bqmhd3g+Kxs3ryZ+/fvqzfh5n92w8PD6datW6Hb1KhRo9D2mzdvsmnTJsaPH8+HH36otmdlZalfeh/Ut29fPvjgA+bMmUPjxo25evVqkZ8T8d8gI9VCCFGEVq1akZmZWWCu5vw5fVu1aqXVvmPHDnWkC+D+/fusWLECZ2dnKleuXOyxjhw5QuvWralcuTLbtm2jbNmyhfbr2rUrmZmZrF69Wqt90aJF2NnZ0ahRo2KPU9RDPvL/NJ0/YgdFj3y2atWKnTt3qkl0vsWLF2NsbEzjxo212pcvX671J/aLFy/y888/a80m8qDq1avzySef4O7uzqFDh4o9n3zff/+91nL+nN0PH2PYsGH89ddfvPnmm/zzzz+EhYWVaP8PGzBgAJ06dWLMmDFUqlSp0D7Gxsa0aNGCw4cP4+HhgaenZ4FXfmKr0WjQ19fXSlKvXr1a6OwfT+Pbb79FR0eHdevWkZiYqPVasmQJQIn+WvEkBg4cyN27d1m+fDmxsbE0adIEV1dXdX3+uT/815mHZ+Z4Vi5dusTo0aOxsLDg3XffBfIS5mrVqvHbb78V+n55enpqld08SKPRoChKgfgXLlxY6EOcDA0NGTx4MIsWLWLGjBnUrVuXZs2aPfsTFS+MjFQLIUQR+vfvz5w5cxgwYAAXLlzA3d2dn376icjISNq3b0/r1q21+pcvX56WLVvy6aefYmJiwty5czl58uQjp9VLS0tT9zVlyhROnz7N6dOn1fXOzs5UqFAByPszeps2bXjvvffIyMjAxcWF5cuXEx8fz9KlS9U/pRelVq1atGrVinbt2uHs7Mzdu3f59ddfmT59OhUrVuTtt99W+7q7u5OUlMTGjRuxtbXFzMyMGjVqMH78eDZt2kSLFi0YN24c5cqV4/vvv2fz5s18/vnnBUbYr127RteuXRk0aBA3b95k/PjxGBoaEh4eDkBKSgphYWH06NGDatWqoa+vz86dO0lJSdEa8SuKvr4+06dPJzMzk4YNG/Lzzz8zefJk2rVrh5eXl1bf6tWr4+/vz48//oiXlxd16tR55P4LY2dnV6IH43z99dd4eXnRvHlz3nvvPRwdHfn33385c+YMGzduVB8kkz9tXUhICG+++Sa///47kyZNwtbWVuuz8DSuX7/O+vXr8fPzIyAgoNA+X375JYsXLyYqKqrQaR6fhqurK02aNCEqKorff/+db775psB6Z2dnPvzwQxRFoVy5cmzcuJFt27Y99bGPHTum1kZfu3aNPXv2EBMTg66uLmvXrlV/viAviW/Xrh1+fn4EBQVRqVIlbty4QWpqKocOHSpyujtzc3O8vb354osvKF++PI6OjuzatYtvv/22yL+GhISE8Pnnn5OcnKw+jEf8h5XqbZJCCPESKexBItevX1eGDBmi2NraKnp6eoqDg4MSHh6u3L17V6sfoISGhipz585VnJ2dlTJlyiiurq7K999//8jj5s9QUNTr4YeJ/Pvvv8qwYcMUGxsbRV9fX/Hw8FCWL19eonOcP3++0q1bN8XJyUkxNjZW9PX1FWdnZ2XIkCHK77//rtX3yJEjSrNmzRRjY2MFUHx8fNR1R48eVTp16qRYWFgo+vr6Sp06dQrEmT/DwZIlS5Rhw4YpFSpUUAwMDJTmzZsrBw8eVPv9+eefSlBQkOLq6qqYmJgopqamioeHh/Lll18+8mE2+e9ZSkqK4uvrqxgZGSnlypVT3nvvPSUzM7PQbWJjYxVAiYuLK9E1UxTt2T+KUtjsH4qiKOfPn1eCg4OVSpUqKWXKlFEqVKigNG3aVJk8ebJWv88++0xxdHRUDAwMFDc3N2XBggXK+PHjlYd/Ved/1h7m4OBQ7MN6vvrqKwVQ1q1bV2Sf/BlvVq9ere6zQ4cOBfrlv7eFTRdZ3KwY33zzjTrrzMMzoiiKopw4cUJp06aNYmZmppQtW1bp0aOHcunSJQVQxo8fr/Z73Nk/8l/6+vqKtbW14uPjo0RGRirXrl0rdLvffvtN6dmzp2Jtba2UKVNGsbGxUVq2bKlER0cXe56XL19WunfvrpQtW1YxMzNT/P39lWPHjhX73vj6+irlypUr8qE64r9DoygPzYQvhBDisWk0GkJDQ5k9e3Zph/LSSEpKokWLFqxatarADCqlqXv37uzbt48LFy4889FYIR7HtWvXcHBwYOjQoXz++eelHY54SlL+IYQQ4pWXlZXFoUOH2L9/P2vXrmXGjBmSUItSc/nyZc6dO8cXX3yBjo4O77//fmmHJJ4BSaqFEEK88tLT02natCnm5ua8++67DB06tLRDEq+xhQsXMnHiRBwdHfn++++LvNlV/LdI+YcQQgghhBBPSabUE0IIIYQQ4ilJUi2EEEIIIcRTkqRaCCGEEEKIpyQ3KgrxguTm5vLHH39gZmZW4kf7CiGEEKJ0KYrCv//+i52dHTo6RY9HS1ItxAvyxx9/YG9vX9phCCGEEOIJ/P7771SuXLnI9ZJUC/GCmJmZAXk/lObm5qUcjRBCCCFKIiMjA3t7e/X3eFEkqRbiBckv+TA3N5ekWgghhPiPeVTpptyoKIQQQgghxFOSpFoIIYQQQoinJEm1EEIIIYQQT0mSaiGEEEIIIZ6SJNVCCCGEEEI8JUmqhRBCCCGEeEqSVAshhBBCCPGUJKkWQgghhBDiKUlSLYQQQgghxFOSpFoIIYQQQoinJEm1EEIIIYQQT0mSaiGEEEIIIZ6SJNVCCCGEEEI8JUmqhRBCCCGEeEp6pR2AEK+b2uMT0DEwLu0whBBCiFfGhc86lHYIMlJdEhqNhnXr1pV2GC8lX19fhg8f/kKPeeHCBTQaDUeOHAEgKSkJjUbDP//8A0BsbCyWlpYvNCYhhBBCvByuXLlCv379sLKywtjYmLp165KcnPzcj/vaj1RfvXqVKVOmsHnzZq5cuYK1tTV169Zl+PDhtGrVqrTDe+mtWbOGMmXKvNBj2tvbk56eTvny5V/ocYUQQgjxcvv7779p1qwZLVq04Mcff8Ta2pqzZ8++kMG21zqpvnDhAs2aNcPS0pLPP/8cDw8PsrOzSUhIIDQ0lJMnT5Z2iC+9cuXKvfBj6urqYmNj88KPK4QQQoiX29SpU7G3tycmJkZtc3R0fCHHfq3LP0JCQtBoNOzfv58333yT6tWrU6tWLUaOHMm+ffu0+v7111907doVY2NjqlWrxoYNG9R19+/f5+2336Zq1aoYGRlRo0YNvv76a63tg4KC6NKlC5GRkVSsWBFLS0siIiLIyclhzJgxlCtXjsqVK/Pdd9+p2+SXOcTFxdG0aVMMDQ2pVasWSUlJWvvetWsXb7zxBgYGBtja2vLhhx+Sk5Ojrnd0dOSrr77S2qZu3bpMmDBBXZ4wYQJVqlTBwMAAOzs7hg0bpq6bO3cu1apVw9DQkIoVK/Lmm2+q6x4u/3B0dCQyMpLg4GDMzMyoUqUK33zzzSPfi3w3b97EyMiI+Ph4rfY1a9ZgYmJCZmZmgfKPRzl79iwBAQFUrFgRU1NTGjZsyPbt27X6pKen06FDB4yMjKhatSrLli0rcN1u3rzJ4MGDsba2xtzcnJYtW/Lbb7+V+NyEEEII8Xxt2LABT09PevTogbW1NfXq1WPBggUv5NivbVJ948YN4uPjCQ0NxcTEpMD6h/9MEBERQc+ePUlJSaF9+/YEBgZy48YNAHJzc6lcuTIrV67kxIkTjBs3jo8++oiVK1dq7WPnzp388ccf7N69mxkzZjBhwgQ6duxI2bJl+fXXXxkyZAhDhgzh999/19puzJgxjBo1isOHD9O0aVM6d+7M9evXgby6ofbt29OwYUN+++035s2bx7fffsvkyZNLfC1++OEHvvzyS+bPn8/p06dZt24d7u7uABw8eJBhw4YxceJE0tLSiI+Px9vbu9j9TZ8+HU9PTw4fPkxISAjvvfdeiUf9LSws6NChA99//71W+7JlywgICMDU1LTE55UvMzOT9u3bs337dg4fPoyfnx+dOnXi0qVLap/+/fvzxx9/kJSUxOrVq/nmm2+4du2aul5RFDp06MDVq1fZsmULycnJ1K9fn1atWqmfAyGEEEKUrnPnzjFv3jyqVatGQkICQ4YMYdiwYSxevPi5H/u1TarPnDmDoii4urqWqH9QUBB9+vTBxcWFyMhIbt26xf79+wEoU6YMERERNGzYkKpVqxIYGEhQUFCBpLpcuXLMnDmTGjVqEBwcTI0aNbh9+zYfffQR1apVIzw8HH19ffbu3au1XVhYGN27d8fNzY158+ZhYWHBt99+C+SNItvb2zN79mxcXV3p0qULERERTJ8+ndzc3BKd26VLl7CxsaF169ZUqVKFN954g0GDBqnrTExM6NixIw4ODtSrV09rFLsw7du3JyQkBBcXFz744APKly9fYHS9OIGBgaxbt47bt28DkJGRwebNm+nXr1+J9/GgOnXq8O677+Lu7k61atWYPHkyTk5O6l8bTp48yfbt21mwYAGNGjWifv36LFy4kDt37qj7SExM5OjRo6xatQpPT0+qVavGtGnTsLS05Icffij0uFlZWWRkZGi9hBBCCPH85ObmUr9+fSIjI6lXrx7vvvsugwYNYt68ec/92K9tUq0oCpA3s0dJeHh4qP82MTHBzMxMayQzOjoaT09PKlSogKmpKQsWLNAaCQWoVasWOjr/d8krVqyojghDXq2wlZWV1n4BmjRpov5bT08PT09PUlNTAUhNTaVJkyZa59GsWTMyMzO5fPlyic6tR48e3LlzBycnJwYNGsTatWvV8pE2bdrg4OCAk5MTb731Ft9//72a7BblwWul0WiwsbEpcE7F6dChA3p6emrSu3r1aszMzGjbtm2J9/GgW7duMXbsWGrWrImlpSWmpqacPHlSfX/S0tLQ09Ojfv366jYuLi6ULVtWXU5OTiYzMxMrKytMTU3V1/nz5zl79myhx42KisLCwkJ92dvbP1H8QgghhCgZW1tbatasqdXm5uZWICd7Hl7bpLpatWpoNBo1OX2Uh2e40Gg06kjwypUrGTFiBMHBwWzdupUjR44wcOBA7t2798h9FLff4uQn0YqiFPhi8PAXBh0dHbUtX3Z2tvpve3t70tLSmDNnDkZGRoSEhODt7U12djZmZmYcOnSI5cuXY2try7hx46hTp446fV1hnvSc8unr6/Pmm2+ybNkyIK/0o1evXujpPdl9tWPGjGH16tVMmTKFPXv2cOTIEdzd3dX35+Frk+/B9tzcXGxtbTly5IjWKy0tjTFjxhS6fXh4ODdv3lRfD5f1CCGEEOLZatasGWlpaVptp06dwsHB4bkf+7VNqsuVK4efnx9z5szh1q1bBdYXlzQ+bM+ePTRt2pSQkBDq1auHi4tLkaOXT+LBmyZzcnJITk5Wy1Zq1qzJzz//rJUA/vzzz5iZmVGpUiUAKlSoQHp6uro+IyOD8+fPax3DyMiIzp07M3PmTJKSkvjll184evQokDc63rp1az7//HNSUlK4cOECO3fufGbnV5jAwEDi4+M5fvw4iYmJBAYGPvG+9uzZQ1BQEF27dsXd3R0bGxsuXLigrnd1dSUnJ4fDhw+rbWfOnNH6DNSvX5+rV6+ip6eHi4uL1quoqf0MDAwwNzfXegkhhBDi+RkxYgT79u0jMjKSM2fOsGzZMr755htCQ0Of+7Ff26Qa8uqR79+/zxtvvMHq1as5ffo0qampzJw5U6vk4lFcXFw4ePAgCQkJnDp1ik8//ZQDBw48szjnzJnD2rVrOXnyJKGhofz9998EBwcDeTOY/P777wwdOpSTJ0+yfv16xo8fz8iRI9VSk5YtW7JkyRL27NnDsWPHGDBgALq6uur+Y2Nj+fbbbzl27Bjnzp1jyZIlGBkZ4eDgwKZNm5g5cyZHjhzh4sWLLF68mNzcXGrUqPHMzq8wPj4+VKxYkcDAQBwdHWncuPET78vFxYU1a9Zw5MgRfvvtN/r27as1cu7q6krr1q0ZPHgw+/fv5/DhwwwePBgjIyN1tL9169Y0adKELl26kJCQwIULF/j555/55JNPOHjw4FOfrxBCCCGeXsOGDVm7di3Lly+ndu3aTJo0ia+++uqpBudK6rVOqqtWrcqhQ4do0aIFo0aNonbt2rRp04YdO3Y8VkH7kCFD6NatG7169aJRo0Zcv36dkJCQZxbnZ599xtSpU6lTpw579uxh/fr16uhopUqV2LJlC/v376dOnToMGTKEt99+m08++UTdPjw8HG9vbzp27Ej79u3p0qULzs7O6npLS0sWLFhAs2bN8PDwYMeOHWzcuBErKyssLS1Zs2YNLVu2xM3NjejoaJYvX06tWrWe+Hx8fX0JCgoqto9Go6FPnz789ttvT/2D8OWXX1K2bFmaNm1Kp06d8PPz06qfBli8eDEVK1bE29ubrl27MmjQIMzMzDA0NFTj2bJlC97e3gQHB1O9enV69+7NhQsXqFix4lPFJ4QQQohnp2PHjhw9epS7d++SmpqqTr7wvGmUogpKRam7cOECVatW5fDhw9StW7e0w3lmHB0dmTBhwiMT69J0+fJl7O3t2b59+zN7smZGRkbeDYvDV6JjYPxM9imEEEIIuPBZh+e27/zf3zdv3iy2lPO1fqKiePFOnjyJmZkZ/fv3L+1QtOzcuZPMzEzc3d1JT09n7NixODo6PnJO7idxLMJP6quFEEKIV4wk1eKFcnV1VW+AfJlkZ2fz0Ucfce7cOczMzGjatCnff/99gZlMhBBCCCEKI+UfQrwgJf3zkRBCCCFeHiX9/f1a36gohBBCCCHEsyDlH0K8YLXHJ8iNikII8R/2PG+KE/9dMlJdinx9fRk+fHhph/GflpSUhEajeayH9TyPfQghhHj97N69m06dOmFnZ4dGo2HdunWlHZIoRZJUP2dBQUFoNJoCrzNnzrBmzRomTZr0zI71qv1AF5bs/vHHH9SuXRsvLy/++ecfmjZtSnp6OhYWFqUXqBBCiNfSrVu3qFOnDrNnzy7tUMRLQMo/XgB/f39iYmK02ipUqKD1VMOXSXZ29ks568XZs2dp06YNrq6u/PDDDxgb55VQ2NjYFLnN/fv30Wg06tMlhRBCiGelXbt2tGvXrrTDEC8JyTReAAMDA2xsbLReurq6Bco/HB0diYyMJDg4GDMzM6pUqcI333yjrr937x5hYWHY2tpiaGiIo6MjUVFR6rYAXbt2RaPRqMsAGzdupEGDBhgaGuLk5ERERAQ5OTnqeo1GQ3R0NAEBAZiYmDB58mT+/vtvAgMDqVChAkZGRlSrVk3ri8GVK1fo1asXZcuWxcrKioCAAC5cuKB13jExMbi5uWFoaIirqytz58594muYkpKCl5cXjRo1Yv369WpC/fBodmxsLJaWlmzatImaNWtiYGDAxYsXycrKYuzYsdjb22NgYEC1atX49ttvtY6RnJyMp6cnxsbGNG3alLS0NK31j7qOQgghhHh9SVL9kpk+fTqenp4cPnyYkJAQ3nvvPU6ePAnAzJkz2bBhAytXriQtLY2lS5eqyfOBAweAvEQ2PT1dXU5ISKBfv34MGzaMEydOMH/+fGJjY5kyZYrWccePH09AQABHjx4lODiYTz/9lBMnTvDjjz+SmprKvHnz1Eej3759mxYtWmBqasru3bv56aefMDU1xd/fn3v37gGwYMECPv74Y6ZMmUJqaiqRkZF8+umnLFq06LGvyc8//4yPjw/dunUr0dzRt2/fJioqioULF3L8+HGsra3p378/cXFxzJw5k9TUVKKjozE1NdXa7uOPP2b69OkcPHgQPT09goOD1XUlvY5CCCGEeD1J+ccLsGnTJq0Erl27dqxatarQvu3btyckJASADz74gC+//JKkpCRcXV25dOkS1apVw8vLC41Gg4ODg7pdhQoVALC0tNQqh5gyZQoffvghAwYMAMDJyYlJkyYxduxYxo8fr/br27evVhJ56dIl6tWrh6enJ4DWyHdcXBw6OjosXLgQjUYD5CXzlpaWJCUl0bZtWyZNmsT06dPp1q0bAFWrVlWT0fxYSqpr16706tWLOXPmlKh/dnY2c+fOpU6dOgCcOnWKlStXsm3bNlq3bq1eh4dNmTIFHx8fAD788EM6dOjA3bt3MTQ0LPF1fFBWVhZZWVnqckZGRslPWgghhBD/KZJUvwAtWrRg3rx56rKJiUmRfT08PNR/azQabGxsuHbtGpB302ObNm2oUaMG/v7+dOzYkbZt2xZ77OTkZA4cOKA1onr//n3u3r3L7du31TKK/OQ533vvvUf37t05dOgQbdu2pUuXLjRt2lTd55kzZzAzM9Pa5u7du5w9e5b//e9//P7777z99tsMGjRIXZ+Tk/NENxQGBASwdu1a9uzZQ/PmzR/ZX19fX+s6HjlyBF1dXTVhLsqD29ja2gJw7do1qlSpUuLr+KCoqCgiIiIeGa8QQggh/vskqX4BTExMcHFxKVHfh0sbNBoNubm5ANSvX5/z58/z448/sn37dnr27Enr1q354Ycfitxfbm4uERER6ojxgwwNDbVifFC7du24ePEimzdvZvv27bRq1YrQ0FCmTZtGbm4uDRo04Pvvvy+wzwoVKnD37l0grwSkUaNGWuuf5ObM+fPn88EHH9CuXTs2b978yOTYyMhIHUHPXy6JB699/vb5176k1/FB4eHhjBw5Ul3OyMjA3t6+RLEIIYQQ4r9Fkur/GHNzc3r16kWvXr1488038ff358aNG5QrV44yZcpw//59rf7169cnLS2txEn9gypUqEBQUBBBQUE0b96cMWPGMG3aNOrXr8+KFSuwtrYu9HGdFhYWVKpUiXPnzhEYGPjE55pPo9Ewf/58dHV1ad++PZs3b8bX17fE27u7u5Obm8uuXbvU8o/H9STX0cDAAAMDgyc6nhBCiJdfZmYmZ86cUZfPnz/PkSNHKFeuHFWqVCnFyERpkKT6P+TLL7/E1taWunXroqOjw6pVq7CxscHS0hLIq3vesWMHzZo1w8DAgLJlyzJu3Dg6duyIvb09PXr0QEdHh5SUFI4ePcrkyZOLPNa4ceNo0KABtWrVIisri02bNuHm5gZAYGAgX3zxBQEBAUycOJHKlStz6dIl1qxZw5gxY6hcuTITJkxg2LBhmJub065dO7Kysjh48CB///231uhtSWk0GubOnYuuri4dOnRg48aNtGzZskTbOjo6MmDAAIKDg5k5cyZ16tTh4sWLXLt2jZ49e5ZoH096HYUQQry6Dh48SIsWLdTl/N9vAwYMIDY2tpSiEqVFZv/4DzE1NWXq1Kl4enrSsGFDLly4wJYtW9Q5mKdPn862bduwt7enXr16APj5+bFp0ya2bdtGw4YNady4MTNmzNC6ybEw+vr6hIeH4+Hhgbe3N7q6usTFxQFgbGzM7t27qVKlCt26dcPNzY3g4GDu3Lmjjly/8847LFy4kNjYWNzd3fHx8SE2NpaqVauqx/D19SUoKKjE56/RaJg9ezbvvPMOHTt2ZPv27SXedt68ebz55puEhITg6urKoEGDuHXrVom3f9LrKIQQ4tXl6+uLoigFXpJQv540iqIopR2EeD05OjoyYcKEx0qs/8syMjKwsLDAfvhKdAwK3tgohBDiv+HCZx1KOwTxAuX//r5582ahZa/5pPxDlIqTJ09iZmZG//79SzuUF+5YhF+xP5RCCCGE+O+RpFqUCldXV44ePVraYQghhBBCPBNSUy2EEEIIIcRTkqRaCCGEEEKIpyTlH0K8YLXHJ8iNiuKpyY1SQgjxcpGR6qeUlJSERqPhn3/+KbJPbGysOpf0q+RVPS8h/ismTJiARqPRetnY2JR2WEII8VqSpPr/i46OxszMjJycHLUtMzOTMmXK0Lx5c62+e/bsQaPRcOrUKZo2bUp6ejoWFhYvOuRHio2N1fpla2pqSoMGDVizZk1ph1asCRMmULdu3dIOA8ibg3T48OFabSX5IiXEi1KrVi3S09PVl9wALIQQpUOS6v+vRYsWZGZmcvDgQbVtz5492NjYcODAAW7fvq22JyUlYWdnR/Xq1dHX18fGxgaNRlMaYT+Subm5+sv28OHD+Pn50bNnT9LS0p5qv9nZ2c8owv+jKIrWlxohxKPp6elhY2OjvipUqFDaIQkhxGtJkur/r0aNGtjZ2ZGUlKS2JSUlERAQgLOzMz///LNWe/5jSQsbtYyNjaVKlSoYGxvTtWtXrl+/XuB4GzdupEGDBhgaGuLk5ERERIRWQqnRaFi4cCFdu3bF2NiYatWqsWHDhsc+r/w/B9vY2FCtWjUmT56sPmL7wT7r1q3T2s7S0lJ9ItSFCxfQaDSsXLkSX19fDA0NWbp0aYFjXb9+nTfeeIPOnTtz9+5dFEXh888/x8nJCSMjI+rUqcMPP/ygdR01Gg0JCQl4enpiYGDAkiVLiIiI4LffflNH2PPjmDBhAlWqVMHAwAA7OzuGDRum7svR0ZHJkyfTv39/TE1NcXBwYP369fzvf/8jICAAU1NT3N3dtb40Xb9+nT59+lC5cmWMjY1xd3dn+fLl6vqgoCB27drF119/rcZy4cIF9b0vW7YsGo3mtXl4jXg5nT59Gjs7O6pWrUrv3r05d+5caYckhBCvJUmqH+Dr60tiYqK6nJiYiK+vLz4+Pmr7vXv3+OWXX9TE6mG//vorwcHBhISEcOTIEVq0aMHkyZO1+iQkJNCvXz+GDRvGiRMnmD9/PrGxsUyZMkWrX0REBD179iQlJYX27dsTGBjIjRs3nvj87t+/z6JFiwCoX7/+Y2//wQcfMGzYMFJTU/Hz89Nad/nyZZo3b46rqytr1qzB0NCQTz75hJiYGObNm8fx48cZMWIE/fr1Y9euXVrbjh07lqioKFJTU2nbti2jRo3S+pN2r169+OGHH/jyyy+ZP38+p0+fZt26dbi7u2vt58svv6RZs2YcPnyYDh068NZbb9G/f3/69evHoUOHcHFxoX///uQ/RPTu3bs0aNCATZs2cezYMQYPHsxbb73Fr7/+CsDXX39NkyZNGDRokBqLvb09q1evBiAtLY309HS+/vrrx76WQjwLjRo1YvHixSQkJLBgwQKuXr1K06ZNC/0iL4QQ4vmS2T8e4Ovry4gRI8jJyeHOnTscPnwYb29v7t+/z8yZMwHYt28fd+7cKTKp/vrrr/Hz8+PDDz8EoHr16vz888/Ex8erfaZMmcKHH37IgAEDAHBycmLSpEmMHTuW8ePHq/2CgoLo06cPAJGRkcyaNYv9+/fj7+9f4nO6efMmpqamANy5c4cyZcrwzTff4Ozs/BhXJs/w4cPp1q1bgfZTp07Rpk0bAgIC1FHdW7duMWPGDHbu3EmTJk3U8/zpp5+YP38+Pj4+6vYTJ06kTZs26rKpqan6J+18ly5dwsbGhtatW1OmTBmqVKnCG2+8oRVH+/bteffddwEYN24c8+bNo2HDhvTo0QPI+1LQpEkT/vzzT2xsbKhUqRKjR49Wtx86dCjx8fGsWrWKRo0aYWFhgb6+PsbGxlqxlCtXDgBra+tib9TMysoiKytLXc7IyCj64grxBNq1a6f+293dnSZNmuDs7MyiRYsYOXJkKUYmhBCvH0mqH9CiRQtu3brFgQMH+Pvvv6levTrW1tb4+Pjw1ltvcevWLZKSkqhSpQpOTk6F7iM1NZWuXbtqtTVp0kQrqU5OTubAgQNaI9P379/n7t273L59G2PjvOnWPDw81PUmJiaYmZlx7dq1xzonMzMzDh06BMDt27fZvn077777LlZWVnTq1Omx9uXp6Vmg7c6dO3h5edGnTx+tEdsTJ05w9+5drWQZ8kb669Wr98j9PqxHjx589dVXODk54e/vT/v27enUqRN6ev/3EX7welWsWBFAazQ7v+3atWvY2Nhw//59PvvsM1asWMGVK1fUJNjExOSR8ZREVFQUERERz2RfQpSEiYkJ7u7unD59urRDEUKI144k1Q9wcXGhcuXKJCYm8vfff6ujqTY2NlStWpW9e/eSmJhIy5Yti9xHfmlBcXJzc4mIiCh01NfQ0FD9d5kyZbTWaTQacnNzS3o6AOjo6ODi4qIue3h4sHXrVqZOnaom1RqNpkDchd2IWFiyaWBgQOvWrdm8eTNjxoyhcuXKAGqcmzdvplKlSgW2edR+H2Zvb09aWhrbtm1j+/bthISE8MUXX7Br1y71Oj14vfJvHC2sLT+26dOn8+WXX/LVV1/h7u6OiYkJw4cP5969e4+MpyTCw8O1RgszMjKwt7d/JvsWojBZWVmkpqYWmLFICCHE8ydJ9UNatGhBUlISf//9N2PGjFHbfXx8SEhIYN++fQwcOLDI7WvWrMm+ffu02h5erl+/PmlpaVrJ7oukq6vLnTt31OUKFSqQnp6uLp8+fVprtpPi6OjosGTJEvr27UvLli3VmVFq1qyJgYEBly5d0ir1KAl9fX3u379foN3IyIjOnTvTuXNnQkNDcXV15ejRo09UHw55s7sEBATQr18/IC/ZPn36NG5ubsXGoq+vD1BojA8yMDAo8AVCiGdp9OjRdOrUiSpVqnDt2jUmT55MRkaGWlomhBDixZGk+iEtWrQgNDSU7OxsrWTQx8eH9957j7t37xZZTw0wbNgwmjZtyueff06XLl3YunWrVukH5NX7duzYEXt7e3r06KHOxnH06NECNzU+LUVRuHr1KpBXqrFt2zYSEhIYN26c2qdly5bMnj2bxo0bk5ubywcffFBglLw4urq6fP/99/Tp00dNrG1sbBg9ejQjRowgNzcXLy8vMjIy+PnnnzE1NS32l76joyPnz5/nyJEjVK5cGTMzM5YvX879+/dp1KgRxsbGLFmyBCMjIxwcHJ742ri4uLB69Wp+/vlnypYty4wZM7h69apWUu3o6Mivv/7KhQsXMDU1pVy5cjg4OKDRaNi0aRPt27fHyMhIrVsX4kW6fPkyffr04a+//qJChQo0btyYffv2PdXPhRBCiCcjs388pEWLFty5cwcXFxe1Bhfykup///0XZ2fnYv+E37hxYxYuXMisWbOoW7cuW7du5ZNPPtHq4+fnx6ZNm9i2bRsNGzakcePGzJgx47F/ETo6OjJhwoRi+2RkZGBra4utrS1ubm5Mnz6diRMn8vHHH6t9pk+fjr29Pd7e3vTt25fRo0erdd0lpaenx/Lly6lVqxYtW7bk2rVrTJo0iXHjxhEVFYWbmxt+fn5s3LiRqlWrFruv7t274+/vT4sWLahQoQLLly/H0tKSBQsW0KxZMzw8PNixYwcbN27EysrqseJ80Keffkr9+vXx8/PD19cXGxsbunTpotVn9OjR6OrqUrNmTSpUqMClS5eoVKkSERERfPjhh1SsWJGwsLAnjkGIpxEXF8cff/zBvXv3uHLlCqtXr6ZmzZqlHZYQQryWNEpJioDFS+fOnTuUK1eOLVu2FDtyLl4eGRkZWFhYYD98JToGj/elRYiHXfisQ2mHIIQQr4X83983b97E3Ny8yH5S/vEftWvXLlq2bCkJ9X/QsQi/Yn8ohRBCCPHfIyPVQrwgJf2mK4QQQoiXR0l/f0tNtRBCCCGEEE9JkmohhBBCCCGektRUC/GC1R6fIDcqCi1y06EQQvz3yUj1CxYUFFRg2raXlaOjI1999VVphyHEayMqKoqGDRtiZmaGtbU1Xbp0IS0tTauPRqMp9PXFF1+UUtRCCCHgFUyqr169yvvvv4+LiwuGhoZUrFgRLy8voqOjS/yUwNeFr69vob+cc3JySjs0LRqNhnXr1pV2GEI8d7t27SI0NJR9+/axbds2cnJyaNu2Lbdu3VL7pKena72+++47NBoN3bt3L8XIhRBCvFLlH+fOnaNZs2ZYWloSGRmJu7s7OTk5nDp1iu+++w47Ozs6d+5c6LbZ2dmP9RTBV8WgQYOYOHGiVpue3rP5WLzIa/q6vn/i1fLw01djYmKwtrYmOTkZb29vAGxsbLT6rF+/nhYtWuDk5PTC4hRCCFHQKzVSHRISgp6eHgcPHqRnz564ubnh7u5O9+7d2bx5M506dVL7ajQaoqOjCQgIwMTERH08+MaNG2nQoAGGhoY4OTkRERGhNXKr0WhYuHAhXbt2xdjYmGrVqrFhwwatOI4fP06HDh0wNzfHzMyM5s2bc/bsWa0+06ZNw9bWFisrK/Wx6Pnu3bvH2LFjqVSpEiYmJjRq1IikpCR1fWxsLJaWliQkJODm5oapqSn+/v6kp6c/9jUzNjbGxsZG61WUS5cuERAQgKmpKebm5vTs2ZM///xTXT9hwgTq1q3Ld999h5OTEwYGBiiKQnx8PF5eXlhaWmJlZUXHjh21rse9e/cICwvD1tYWQ0NDHB0diYqKAvJKUAC6du2KRqNRl5/HsfL3W6VKFQwMDLCzs2PYsGElfl+EeNZu3rwJQLly5Qpd/+eff7J582befvvtFxmWEEKIQrwySfX169fZunUroaGhmJiYFNpHo9FoLY8fP56AgACOHj1KcHAwCQkJ9OvXj2HDhnHixAnmz59PbGwsU6ZM0douIiKCnj17kpKSQvv27QkMDOTGjRsAXLlyBW9vbwwNDdm5cyfJyckEBwdrJeaJiYmcPXuWxMREFi1aRGxsLLGxser6gQMHsnfvXuLi4khJSaFHjx74+/tz+vRptc/t27eZNm0aS5YsYffu3Vy6dInRo0c/7WUskqIodOnShRs3brBr1y62bdvG2bNn6dWrl1a/M2fOsHLlSlavXs2RI0cAuHXrFiNHjuTAgQPs2LEDHR0dunbtSm5uLgAzZ85kw4YNrFy5krS0NJYuXaomzwcOHADyRuzS09PV5edxrB9++IEvv/yS+fPnc/r0adatW4e7u7t6vJK8L0I8K4qiMHLkSLy8vKhdu3ahfRYtWoSZmRndunV7wdEJIYR42CtT/nHmzBkURaFGjRpa7eXLl+fu3bsAhIaGMnXqVHVd3759CQ4OVpffeustPvzwQwYMGACAk5MTkyZNYuzYsYwfP17tFxQURJ8+fQCIjIxk1qxZ7N+/H39/f+bMmYOFhQVxcXFqOUL16tW1YipbtiyzZ89GV1cXV1dXOnTowI4dOxg0aBBnz55l+fLlXL58GTs7OwBGjx5NfHw8MTExREZGAnnlDtHR0Tg7OwMQFhZWoIyjJObOncvChQvV5XfffZfp06cX6Ld9+3ZSUlI4f/489vb2ACxZsoRatWpx4MABGjZsCOSN5i5ZsoQKFSqo2z5c6/ntt99ibW3NiRMnqF27NpcuXaJatWp4eXmh0WhwcHBQ++bvx9LSssAo+rM+1qVLl7CxsaF169aUKVOGKlWq8MYbbwCU+H15UFZWFllZWepyRkZGgT5CFCUsLIyUlBR++umnIvt89913BAYGYmho+AIjE0IIUZhXZqQ638Oj0fv37+fIkSPUqlVLK8EB8PT01FpOTk5m4sSJmJqaqq9BgwaRnp6udZOjh4eH+m8TExPMzMy4du0aAEeOHKF58+bF1vfWqlULXV1dddnW1lbd/tChQyiKQvXq1bXi2LVrl1YZg7GxsZpQP7yPxxEYGMiRI0fUV3h4eKH9UlNTsbe3VxNqgJo1a2JpaUlqaqra5uDgoJXkQl5C2rdvX5ycnDA3N6dq1apAXhILeV9Sjhw5Qo0aNRg2bBhbt24tUezP+lg9evTgzp07ODk5MWjQINauXav+haGk78uDoqKisLCwUF8PXjshijN06FA2bNhAYmIilStXLrTPnj17SEtL45133nnB0QkhhCjMKzNS7eLigkaj4eTJk1rt+TfvGBkZFdjm4TKR3NxcIiIiCv1T6oMjQQ8nzBqNRi0vKOw4Dytu+9zcXHR1dUlOTtZKvAFMTU2L3ceTPHHewsICFxeXR/ZTFKXAF5bC2gsrvenUqRP29vYsWLAAOzs7cnNzqV27Nvfu3QOgfv36nD9/nh9//JHt27fTs2dPWrduzQ8//FBsTM/6WPb29qSlpbFt2za2b99OSEgIX3zxBbt27Srx+/Kg8PBwRo4cqS5nZGRIYi2KpSgKQ4cOZe3atSQlJalfCgvz7bff0qBBA+rUqfMCIxRCCFGUVyaptrKyok2bNsyePZuhQ4cWWVddnPr165OWllaiJLMoHh4eLFq06Ilno6hXrx7379/n2rVrNG/e/InjeNZq1qzJpUuX+P3339XE8MSJE9y8eRM3N7cit7t+/TqpqanMnz9fPZ/C/pxtbm5Or1696NWrF2+++Sb+/v7cuHGDcuXKUaZMGe7fv//IGJ/FsYyMjOjcuTOdO3cmNDQUV1dXjh49+kTvi4GBAQYGBiXqKwTklagtW7aM9evXY2ZmxtWrV4G8L78PfmHPyMhg1apVhZZqCSGEKB2vTFINefXBzZo1w9PTkwkTJuDh4YGOjg4HDhzg5MmTNGjQoNjtx40bR8eOHbG3t6dHjx7o6OiQkpLC0aNH1dlBHiUsLIxZs2bRu3dvwsPDsbCwYN++fbzxxhsF6r0LU716dQIDA+nfvz/Tp0+nXr16/PXXX+zcuRN3d3fat29fojietdatW+Ph4UFgYCBfffUVOTk5hISE4OPjU6CM5kFly5bFysqKb775BltbWy5dusSHH36o1efLL7/E1taWunXroqOjw6pVq7CxscHS0hLImwFkx44dNGvWDAMDA8qWLftcjhUbG8v9+/dp1KgRxsbGLFmyBCMjIxwcHLCysnop3xfxapk3bx6QN4f8g2JiYggKClKX4+LiUBRFvbdDCCFE6XulaqqdnZ05fPgwrVu3Jjw8nDp16uDp6cmsWbMYPXo0kyZNKnZ7Pz8/Nm3axLZt22jYsCGNGzdmxowZWjezPYqVlRU7d+4kMzMTHx8fGjRowIIFCx5r1DomJob+/fszatQoatSoQefOnfn1118fq3QgKSkJjUbDhQsXSrxNcfIfwFK2bFm8vb1p3bo1Tk5OrFixotjtdHR0iIuLIzk5mdq1azNixIgCT34zNTVl6tSpeHp60rBhQy5cuMCWLVvQ0cn7eE6fPp1t27Zhb29PvXr1ntuxLC0tWbBgAc2aNcPDw4MdO3awceNGrKysgGfzvghRHEVRCn09mFADDB48mNu3b2NhYVE6gQohhChAozxJIa546eVPBXjixAl5KMpLIiMjI++GxeEr0TEwLu1wxEvkwmcdSjsEIYQQRcj//X3z5k3Mzc2L7PdKlX+I/xMfH09kZKQk1C+hYxF+xf5QCiGEEOK/R5LqV1RcXFxphyCEEEII8dp4pWqqhRBCCCGEKA2SVAshhBBCCPGUpPxDiBes9vgEuVHxNSY3JQohxKtJRqpfEUFBQXTp0qW0wyixCxcuoNFoOHLkyFPtx9fXl+HDhz+TmIR4UaKiomjYsCFmZmZYW1vTpUsX0tLStPpkZmYSFhZG5cqVMTIyws3NTZ3HWgghxMtHkuoSunr1Ku+//z4uLi4YGhpSsWJFvLy8iI6O5vbt26Ud3kvF19cXjUaDRqNBX18fZ2dnwsPDycrKUvvY29uTnp5O7dq1SzFSIUrHrl27CA0NZd++fWzbto2cnBzatm3LrVu31D4jRowgPj6epUuXkpqayogRIxg6dCjr168vxciFEEIURco/SuDcuXM0a9YMS0tLIiMjcXd3Jycnh1OnTvHdd99hZ2dH586dC932SR9X/l83aNAgJk6cyL179zhw4AADBw4E8kboAHR1dbGxsSnNEAG4f/8+Go1GfdCMEC9CfHy81nJMTAzW1tYkJyfj7e0NwC+//MKAAQPUpysOHjyY+fPnc/DgQQICAl50yEIIIR5BMokSCAkJQU9Pj4MHD9KzZ0/c3Nxwd3ene/fubN68mU6dOql9NRoN0dHRBAQEYGJioj7efOPGjTRo0ABDQ0OcnJyIiIggJydHa7uFCxfStWtXjI2NqVatGhs2bNCK4/jx43To0AFzc3PMzMxo3rw5Z8+e1eozbdo0bG1tsbKyIjQ0lOzsbHXdvXv3GDt2LJUqVcLExIRGjRqRlJSkro+NjcXS0pKEhATc3NwwNTXF39+f9PT0x75mxsbG2NjYUKVKFbp3706bNm3YunWrur6w8o8TJ07Qvn17TE1NqVixIm+99RZ//fWXuv7WrVv0798fU1NTbG1tmT59eoHjlvQcN23aRM2aNTEwMODixYsv9NoI8bCbN28CUK5cObXNy8uLDRs2cOXKFRRFITExkVOnTuHn51daYQohhCiGJNWPcP36dbZu3UpoaCgmJiaF9tFoNFrL48ePJyAggKNHjxIcHExCQgL9+vVj2LBhnDhxgvnz56tPPHxQREQEPXv2JCUlhfbt2xMYGMiNGzcAuHLlCt7e3hgaGrJz506Sk5MJDg7WSswTExM5e/YsiYmJLFq0iNjYWGJjY9X1AwcOZO/evcTFxZGSkkKPHj3w9/fn9OnTap/bt28zbdo0lixZwu7du7l06RKjR49+qmv422+/sXfv3mJH7NPT0/Hx8aFu3bocPHiQ+Ph4/vzzT3r27Kn2GTNmDImJiaxdu5atW7eSlJREcnKy1n5Keo5RUVEsXLiQ48ePY21tXWrXRghFURg5ciReXl5a5VAzZ86kZs2aVK5cGX19ffz9/Zk7dy5eXl6lGK0QQoiiSPnHI5w5cwZFUahRo4ZWe/ny5bl79y4AoaGhTJ06VV3Xt29fgoOD1eW33nqLDz/8kAEDBgDg5OTEpEmTGDt2LOPHj1f7BQUF0adPHwAiIyOZNWsW+/fvx9/fnzlz5mBhYUFcXJyanFavXl0rprJlyzJ79mx0dXVxdXWlQ4cO7Nixg0GDBnH27FmWL1/O5cuXsbOzA2D06NHEx8cTExNDZGQkkFeuEh0djbOzMwBhYWFMnDjxsa/b3LlzWbhwIdnZ2dy7dw8dHR3mzJlTZP958+ZRv359NQ6A7777Dnt7e06dOoWdnR3ffvstixcvpk2bNgAsWrSIypUrq/0f5xznzp1LnTp1Hnu7x7k2WVlZWnXkGRkZJb+A4rURFhZGSkoKP/30k1b7zJkz2bdvHxs2bMDBwYHdu3cTEhKCra0trVu3LqVohRBCFEWS6hJ6eDR6//795ObmEhgYqJU4AXh6emotJycnc+DAAa2R6fv373P37l1u376NsXHe9GoeHh7qehMTE8zMzLh27RoAR44coXnz5sWO9taqVQtdXV112dbWlqNHjwJw6NAhFEUpkIhnZWVhZWWlLhsbG6tJY/4+8mN4HIGBgXz88cdkZGQwdepUzM3N6d69e5H9k5OTSUxMxNTUtMC6s2fPcufOHe7du0eTJk3U9nLlyml92SnpOerr62td6+d1baKiooiIiChyvRBDhw5lw4YN7N69W+sL4p07d/joo49Yu3YtHTrkTcHn4eHBkSNHmDZtmiTVQgjxEpKk+hFcXFzQaDScPHlSq93JyQkAIyOjAts8XCaSm5tLREQE3bp1K9DX0NBQ/ffDCbNGoyE3N7fI4zysuO1zc3PR1dUlOTlZK/EGtBLZwvahKMojj/0wCwsLXFxcAFi6dCm1atXi22+/5e233y60f25uLp06ddIa8c9na2urVYZRlJKeo5GRkdaXpOd1bcLDwxk5cqS6nJGRgb29/SPPQ7z6FEVh6NChrF27lqSkJKpWraq1Pjs7m+zs7AI30Orq6qo/00IIIV4uklQ/gpWVFW3atGH27NkMHTq0yLrq4tSvX5+0tDQ1yXwSHh4eLFq06IlnE6lXrx7379/n2rVrNG/e/InjeBJlypTho48+Ijw8nD59+qgj8w+qX78+q1evxtHRET29gh9LFxcXypQpw759+6hSpQoAf//9N6dOncLHxwd48nN8XtfGwMAAAwODZ7Y/8eoIDQ1l2bJlrF+/HjMzM65evQrkfRk1MjLC3NwcHx8fxowZg5GREQ4ODuzatYvFixczY8aMUo5eCCFEYeRGxRKYO3cuOTk5eHp6smLFClJTU0lLS2Pp0qWcPHmywOjmw8aNG8fixYuZMGECx48fJzU1lRUrVvDJJ5+UOIawsDAyMjLo3bs3Bw8e5PTp0yxZsqTAAyOKUr16dQIDA+nfvz9r1qzh/PnzHDhwgKlTp7Jly5YSx/Gk+vbti0ajYe7cuYWuDw0N5caNG/Tp04f9+/dz7tw5tm7dSnBwMPfv38fU1JS3336bMWPGsGPHDo4dO0ZQUJDWSN6TnmNpXxvx+pk3bx43b97E19cXW1tb9bVixQq1T1xcHA0bNiQwMJCaNWvy2WefMWXKFIYMGVKKkQshhCiKjFSXgLOzM4cPHyYyMpLw8HAuX76MgYEBNWvWZPTo0YSEhBS7vZ+fH5s2bWLixIl8/vnnlClTBldXV955550Sx2BlZcXOnTsZM2YMPj4+6OrqUrduXZo1a1bifcTExDB58mRGjRrFlStXsLKyokmTJrRv377E+0hKSqJFixacP38eR0fHEm+nr69PWFgYn3/+eaFJgZ2dHXv37uWDDz7Az8+PrKwsHBwc8Pf3VxPnL774gszMTDp37oyZmRmjRo1SpyJ72nN8FtdGiJIqSUmVjY0NMTExLyAaIYQQz4JGeZKCWfHayp8K8MSJE6/lQ22eRkZGBhYWFtgPX4mOQcESGPF6uPBZh9IOQQghxGPI//198+ZNzM3Ni+wnI9XiscTHxxMZGSkJ9VM4FuFX7A+lEEIIIf57JKkWjyUuLq60QxBCCCGEeOnIjYpCCCGEEEI8JUmqhRBCCCGEeEpS/iHEC1Z7fILcqPgakhsUhRDi1fbaj1QHBQXRpUuX0g7jpeDr68vw4cNLOwwhXllRUVE0bNgQMzMzrK2t6dKlS4G55jMzMwkLC6Ny5coYGRnh5ubGvHnzSiliIYQQJfXck+qrV6/y/vvv4+LigqGhIRUrVsTLy4vo6Ghu3779vA//n1LaSe2aNWuYNGlSqR2/MPKlR7xKdu3aRWhoKPv27WPbtm3k5OTQtm1bbt26pfYZMWIE8fHxLF26lNTUVEaMGMHQoUNZv359KUYuhBDiUZ5r+ce5c+do1qwZlpaWREZG4u7uTk5ODqdOneK7777Dzs6Ozp07F7rtkz6OWzy5cuXKlXYIT0w+L+K/ID4+Xms5JiYGa2trkpOT8fb2BuCXX35hwIAB+Pr6AjB48GDmz5/PwYMHCQgIeNEhCyGEKKHnOlIdEhKCnp4eBw8epGfPnri5ueHu7k737t3ZvHkznTp1UvtqNBqio6MJCAjAxMSEyZMnA7Bx40YaNGiAoaEhTk5OREREkJOTo7XdwoUL6dq1K8bGxlSrVo0NGzZoxXH8+HE6dOiAubk5ZmZmNG/enLNnz2r1mTZtGra2tlhZWREaGkp2dra67t69e4wdO5ZKlSphYmJCo0aNSEpKUtfHxsZiaWlJQkICbm5umJqa4u/vT3p6+rO8nPz88894e3tjZGSEvb09w4YN0xrh0mg0rFu3TmsbS0tLYmNjAZgwYQIajabAK3/9wyPl6enpdOjQASMjI6pWrcqyZctwdHTkq6++UvvcvHmTwYMHY21tjbm5OS1btuS3335T10+YMIG6deuyZMkSHB0dsbCwoHfv3vz7779qnx9++AF3d3eMjIywsrKidevW3Lp1iwkTJrBo0SLWr1+vxpqUlMSFCxfQaDSsXLkSX19fDA0NWbp0KdevX6dPnz5UrlwZY2Nj3N3dWb58udb1KOpYkPe0yDfeeAMTExMsLS1p1qwZFy9eVLd91GdRiMeV/0TQB7/Qenl5sWHDBq5cuYKiKCQmJnLq1Cn8/PxKK0whhBAl8NyS6uvXr7N161ZCQ0MxMTEptI9Go9FaHj9+PAEBARw9epTg4GASEhLo168fw4YN48SJE8yfP199ot+DIiIi6NmzJykpKbRv357AwEBu3LgBwJUrV/D29sbQ0JCdO3eSnJxMcHCwVjKUmJjI2bNnSUxMZNGiRcTGxqqJJsDAgQPZu3cvcXFxpKSk0KNHD/z9/Tl9+rTa5/bt20ybNo0lS5awe/duLl26xOjRo5/2MqqOHj2Kn58f3bp1IyUlhRUrVvDTTz8RFhZW4n2MHj2a9PR09TVt2jSMjY3x9PQstH///v35448/SEpKYvXq1XzzzTdcu3ZNXa8oCh06dODq1ats2bKF5ORk6tevT6tWrdTrD3D27FnWrVvHpk2b2LRpE7t27eKzzz4D8hL3Pn36EBwcTGpqKklJSXTr1g1FURg9ejQ9e/ZUv6Ckp6fTtGlTdb8ffPABw4YNIzU1FT8/P+7evUuDBg3YtGkTx44dY/Dgwbz11lv8+uuvjzxWTk4OXbp0wcfHh5SUFH755RcGDx6sfkZL+lkUoqQURWHkyJF4eXlRu3ZttX3mzJnUrFmTypUro6+vj7+/P3PnzsXLy6sUoxVCCPEoz63848yZMyiKQo0aNbTay5cvz927dwEIDQ1l6tSp6rq+ffsSHBysLr/11lt8+OGHDBgwAAAnJycmTZrE2LFjGT9+vNovKCiIPn36ABAZGcmsWbPYv38//v7+zJkzBwsLC+Li4tTygOrVq2vFVLZsWWbPno2uri6urq506NCBHTt2MGjQIM6ePcvy5cu5fPkydnZ2QF5yGh8fT0xMDJGRkUBe+UF0dDTOzs4AhIWFMXHixKe/kP/fF198Qd++fdWR5GrVqjFz5kx8fHyYN28ehoaGj9yHqakppqamAOzbt49PPvmERYsWaf1Cz3fy5Em2b9/OgQMH1KR74cKFVKtWTe2TmJjI0aNHuXbtGgYGBkDeiP+6dev44YcfGDx4MAC5ubnExsZiZmYG5L2vO3bsYMqUKaSnp5OTk0O3bt1wcHAAwN3dXT2GkZERWVlZ2NjYFIhx+PDhdOvWTavtwS8yQ4cOJT4+nlWrVtGoUaNij3Xjxg1u3rxJx44d1ffQzc1N3deUKVNK9Fl8UFZWFllZWepyRkZGof3E6yksLIyUlBR++uknrfaZM2eyb98+NmzYgIODA7t37yYkJARbW1tat25dStEKIYR4lOc+pd7Do9H79+8nNzeXwMBArYQDKDBimpyczIEDB7RGA+/fv8/du3e5ffs2xsZ505J5eHio601MTDAzM1NHVI8cOULz5s2LrbetVasWurq66rKtrS1Hjx4F4NChQyiKUiARz8rKwsrKSl02NjZWk7H8fTw4qvu0kpOTOXPmDN9//73apigKubm5nD9/XisBfJRLly7RpUsXdSS4MGlpaejp6VG/fn21zcXFhbJly2rFlJmZqXUdAO7cuaNVXuPo6Kgm1KB9berUqUOrVq1wd3fHz8+Ptm3b8uabb2odpygPf17u37/PZ599xooVK7hy5Yqa1Ob/paS4Y5UrV46goCD8/Pxo06YNrVu3pmfPntja2qrnWpLP4oOioqKIiIh45HmI18/QoUPZsGEDu3fvpnLlymr7nTt3+Oijj1i7di0dOuRNwefh4cGRI0eYNm2aJNVCCPESe25JtYuLCxqNhpMnT2q1Ozk5AXkjkA97uEwkNzeXiIiIAqORgNbI7MMJs0ajITc3t8jjPKy47XNzc9HV1SU5OVkr8QbUUd+i9qEoyiOPXVK5ubm8++67DBs2rMC6KlWqFHnMB2vDAW7dukXnzp1p0qRJsSPpRcX+YHtubi62trZa9eX5LC0t1X8Xd311dXXZtm0bP//8M1u3bmXWrFl8/PHH/Prrr1StWrXI+KDg52X69Ol8+eWXfPXVV7i7u2NiYsLw4cO5d+9eiY4VExPDsGHDiI+PZ8WKFXzyySds27aNxo0bl/iz+KDw8HBGjhypLmdkZGBvb1/sOYlXm6IoDB06lLVr15KUlFTgM56dnU12djY6OtqVebq6uurPjBBCiJfTc0uqraysaNOmDbNnz2bo0KFF1lUXp379+qSlpeHi4vLEcXh4eLBo0aInnh2iXr163L9/n2vXrtG8efMnjuNp1a9fn+PHjxd7LSpUqKB1c+Tp06e1pi1UFIV+/fqRm5vLkiVLCvwV4UGurq7k5ORw+PBhGjRoAOSV9Pzzzz9aMV29ehU9PT0cHR2f+Nw0Gg3NmjWjWbNmjBs3DgcHB9auXcvIkSPR19fn/v37JdrPnj17CAgIoF+/fkBe0n/69GmtUfzijgV573e9evUIDw+nSZMmLFu2jMaNGz/RZ9HAwEAtixEC8kreli1bxvr16zEzM+Pq1asAWFhYYGRkhLm5OT4+PowZMwYjIyMcHBzYtWsXixcvZsaMGaUcvRBCiOI81/KPuXPn0qxZMzw9PZkwYQIeHh7o6Ohw4MABTp48qSZrRRk3bhwdO3bE3t6eHj16oKOjQ0pKCkePHlVnB3mUsLAwZs2aRe/evQkPD8fCwoJ9+/bxxhtvFKj3Lkz16tUJDAykf//+TJ8+nXr16vHXX3+xc+dO3N3dad++fYniKKn//e9/HDlyRKvNxsaGDz74gMaNGxMaGsqgQYMwMTEhNTWVbdu2MWvWLABatmzJ7Nmz1ZHVDz74QOuLxIQJE9i+fTtbt24lMzOTzMxM4P9+oT/I1dWV1q1bM3jwYObNm0eZMmUYNWoURkZGajLeunVrmjRpQpcuXZg6dSo1atTgjz/+YMuWLXTp0qXIGyAf9Ouvv7Jjxw7atm2LtbU1v/76K//73//URNjR0ZGEhATS0tKwsrLCwsKiyH25uLiwevVqfv75Z8qWLcuMGTO4evWquq/ijnX+/Hm++eYbOnfujJ2dHWlpaZw6dYr+/fsDz+azKET+Q1zyp8vLFxMTQ1BQEABxcXGEh4erN1w7ODgwZcoUhgwZ8oKjFUII8Tiea1Lt7OzM4cOHiYyMJDw8nMuXL2NgYEDNmjUZPXo0ISEhxW7v5+fHpk2bmDhxIp9//jllypTB1dWVd955p8QxWFlZsXPnTsaMGYOPjw+6urrUrVuXZs2alXgfMTExTJ48mVGjRnHlyhWsrKxo0qTJYyXUSUlJtGjRgvPnzxc7qrts2TKWLVum1TZ+/HgmTJjArl27+Pjjj2nevDmKouDs7EyvXr3UftOnT2fgwIF4e3tjZ2fH119/TXJysrp+165dZGZmas2gkX9++b/QH7R48WLefvttvL29sbGxISoqiuPHj6vlDhqNhi1btvDxxx8THBzM//73P2xsbPD29qZixYolui7m5ubs3r2br776ioyMDBwcHJg+fTrt2rUDYNCgQSQlJeHp6UlmZiaJiYlFXr9PP/2U8+fP4+fnh7GxMYMHD6ZLly7qtGXFHevPP//k5MmTLFq0iOvXr2Nra0tYWBjvvvsu8Gw+i0KUpCTMxsaGmJiYFxCNEEKIZ0mjPMvCX1Gk/OnXTpw48Z99SMnly5ext7dn+/bttGrVqrTD+c/JyMjAwsIC++Er0TEoeGOjeLVd+KxDaYcghBDiCeT//r558ybm5uZF9nvus3+IPPHx8URGRv6nEuqdO3eSmZmJu7s76enpjB07FkdHR/XJb+LJHIvwK/aHUgghhBD/PZJUvyBxcXGlHcJjy87O5qOPPuLcuXOYmZnRtGlTvv/++//UFwMhhBBCiBdByj+EeEFK+ucjIYQQQrw8Svr7+7k9plwIIYQQQojXhZR/CPGC1R6fIDcqvmbkJkUhhHj1yUj1UwgKCqJLly6lHcYz4ejoyFdffVXaYQjxSouKiqJhw4aYmZlhbW1Nly5dSEtL0+qTmZlJWFgYlStXxsjICDc3N3V+ayGEEC+vlzqpvnr1Ku+//z4uLi4YGhpSsWJFvLy8iI6O1npSoMh7mMTw4cNLO4xn7sKFC2g0mgIPxBHiv2jXrl2Ehoayb98+tm3bRk5ODm3btuXWrVtqnxEjRhAfH8/SpUtJTU1lxIgRDB06lPXr15di5EIIIR7lpS3/OHfuHM2aNcPS0pLIyEjc3d3Jycnh1KlTfPfdd9jZ2dG5c+dCt33SR5KLZ+tFvg/37t1DX1//hRxLiCcVHx+vtRwTE4O1tTXJycnqVJW//PILAwYMUJ+6OHjwYObPn8/BgwcJCAh40SELIYQooZd2pDokJAQ9PT0OHjxIz549cXNzw93dne7du7N582Y6deqk9tVoNERHRxMQEICJiYn62OiNGzfSoEEDDA0NcXJyIiIigpycHK3tFi5cSNeuXTE2NqZatWps2LBBK47jx4/ToUMHzM3NMTMzo3nz5pw9e1arz7Rp07C1tcXKyorQ0FCys7PVdffu3WPs2LFUqlQJExMTGjVqRFJSkro+NjYWS0tLEhIScHNzw9TUFH9/f9LT05/l5eTnn3/G29sbIyMj7O3tGTZsmNboGMC///5L3759MTU1xc7OTn38eb6bN28yePBgrK2tMTc3p2XLlvz222/q+gkTJlC3bl2+++47nJycMDAwQFGUR17nv//+m8DAQCpUqICRkRHVqlVTnyhXtWpVAOrVq4dGo1ETjfzSm6ioKOzs7KhevToAS5cuxdPTEzMzM2xsbOjbty/Xrl0r0bHu3btHWFgYtra2GBoa4ujoSFRUVInPX4jHlf+0z3LlyqltXl5ebNiwgStXrqAoComJiZw6dQo/P7/SClMIIUQJvJRJ9fXr19m6dSuhoaGYmJgU2kej0Wgtjx8/noCAAI4ePUpwcDAJCQn069ePYcOGceLECebPn68+1fBBERER9OzZk5SUFNq3b09gYCA3btwA4MqVK3h7e2NoaMjOnTtJTk4mODhYKzFPTEzk7NmzJCYmsmjRImJjY4mNjVXXDxw4kL179xIXF0dKSgo9evTA39+f06dPq31u377NtGnTWLJkCbt37+bSpUuMHj36aS+j6ujRo/j5+dGtWzdSUlJYsWIFP/30E2FhYVr9vvjiCzw8PDh06BDh4eGMGDGCbdu2AXmPV+7QoQNXr15ly5YtJCcnU79+fVq1aqVeL4AzZ86wcuVKVq9erVWyUdx1/vTTTzlx4gQ//vgjqampzJs3j/LlywOwf/9+ALZv3056ejpr1qxR97ljxw5SU1PZtm0bmzZtAvIS40mTJvHbb7+xbt06zp8/r/UI9uKONXPmTDZs2MDKlStJS0tj6dKl6iPRS3r+QpSUoiiMHDkSLy8vateurbbPnDmTmjVrUrlyZfT19fH392fu3Ll4eXmVYrRCCCEe5aUs/zhz5gyKolCjRg2t9vLly3P37l0AQkNDmTp1qrqub9++BAcHq8tvvfUWH374IQMGDADAycmJSZMmMXbsWMaPH6/2CwoKok+fPgBERkYya9Ys9u/fj7+/P3PmzMHCwoK4uDi1jCF/RDRf2bJlmT17Nrq6uri6utKhQwd27NjBoEGDOHv2LMuXL+fy5cvY2dkBMHr0aOLj44mJiSEyMhLIK5OIjo7G2dkZgLCwMCZOnPj0F/L/++KLL+jbt69ac12tWjVmzpyJj48P8+bNw9DQEIBmzZrx4Ycfque5d+9evvzyS9q0aUNiYiJHjx7l2rVrGBgYAHkj9OvWreOHH35g8ODBQF5Su2TJEipUqKAVQ3HX+dKlS9SrVw9PT08ANZEF1P1YWVlhY2OjtU8TExMWLlyoVfbx4GfAycmJmTNn8sYbb5CZmYmpqWmxx7p06RLVqlXDy8sLjUaDg4ODuq6k5/+grKwssrKy1OWMjIyCb454bYWFhZGSksJPP/2k1T5z5kz27dvHhg0bcHBwYPfu3YSEhGBra0vr1q1LKVohhBCP8lIm1fkeHo3ev38/ubm5BAYGaiUrgJok5UtOTubAgQNaI9P379/n7t273L59G2PjvCnNPDw81PUmJiaYmZmp5QJHjhyhefPmxdYF16pVC11dXXXZ1taWo0ePAnDo0CEURSmQiGdlZWFlZaUuGxsbqwl1/j4eLFl4WsnJyZw5c4bvv/9ebVMUhdzcXM6fP4+bmxsATZo00dquSZMm6owgycnJZGZmasUNcOfOHa1yGAcHhwIJNRR/nd977z26d+/OoUOHaNu2LV26dKFp06aPPC93d/cCddSHDx9mwoQJHDlyhBs3bpCbmwvkJcw1a9Ys9lhBQUG0adOGGjVq4O/vT8eOHWnbtu1jnf+DoqKiiIiIeOR5iNfP0KFD2bBhA7t376Zy5cpq+507d/joo49Yu3YtHTrkTcPn4eHBkSNHmDZtmiTVQgjxEnspk2oXFxc0Gg0nT57UandycgLAyMiowDYPl4nk5uYSERFBt27dCvTNH5kFCiTMGo1GTcQKO87Dits+NzcXXV1dkpOTtRJvAFNT02L38SwfdJmbm8u7777LsGHDCqyrUqVKsdvmf7HJzc3F1tZWqx48n6Wlpfrvosp1irtO7dq14+LFi2zevJnt27fTqlUrQkNDmTZtWrGxPXysW7du0bZtW9q2bcvSpUupUKECly5dws/Pj3v37j3yWPXr1+f8+fP8+OOPbN++nZ49e9K6dWt++OGHEp//g8LDwxk5cqS6nJGRgb29fbHnJF5tiqIwdOhQ1q5dS1JSknrPQL7s7Gyys7PR0dGuzNPV1VV/XoQQQrycXsqk2srKijZt2jB79myGDh1aZKJWnPr165OWloaLi8sTx+Hh4cGiRYueeBaLevXqcf/+fa5du0bz5s2fOI6nVb9+fY4fP/7Ia7Fv374Cy66uruo+rl69ip6enlbJxLNSoUIFgoKCCAoKonnz5owZM4Zp06apI9H3799/5D5OnjzJX3/9xWeffaYmrwcPHizxsQDMzc3p1asXvXr14s0338Tf358bN2480fkbGBiopSJCQF7Z2rJly1i/fj1mZmZcvXoVAAsLC4yMjDA3N8fHx4cxY8ZgZGSEg4MDu3btYvHixcyYMaOUoxdCCFGclzKpBpg7dy7NmjXD09OTCRMm4OHhgY6ODgcOHODkyZM0aNCg2O3HjRtHx44dsbe3p0ePHujo6JCSksLRo0fV2UEeJSwsjFmzZtG7d2/Cw8OxsLBg3759vPHGGwXqvQtTvXp1AgMD6d+/P9OnT6devXr89ddf7Ny5E3d3d9q3b1+iOErqf//7X4H5nG1sbPjggw9o3LgxoaGhDBo0CBMTE/UGvwdn+Ni7dy+ff/45Xbp0Ydu2baxatYrNmzcD0Lp1a5o0aUKXLl2YOnUqNWrU4I8//mDLli106dKlQPnN4xg3bhwNGjSgVq1aZGVlsWnTJrUkxdraGiMjI+Lj46lcuTKGhoZYWFgUup8qVaqgr6/PrFmzGDJkCMeOHWPSpEklPtaXX36Jra0tdevWRUdHh1WrVmFjY4OlpeVzPX/x+sh/iEv+LDb5YmJi1Btq4+LiCA8PV2/mdXBwYMqUKQwZMuQFRyuEEOJxvJSzfwA4Oztz+PBhWrduTXh4OHXq1MHT05NZs2YxevToAsnSw/z8/Ni0aRPbtm2jYcOGNG7cmBkzZmjdfPYoVlZW7Ny5k8zMTHx8fGjQoAELFix4rFHrmJgY+vfvz6hRo6hRowadO3fm119/fawygKSkJDQaDRcuXCi237Jly6hXr57WKzo6Gg8PD3bt2sXp06dp3rw59erV49NPP8XW1lZr+1GjRpGcnEy9evWYNGkS06dPV6fx0mg0bNmyBW9vb4KDg6levTq9e/fmwoULVKxYscTnUhh9fX3Cw8Px8PDA29sbXV1d4uLiANDT02PmzJnMnz8fOzu7YufprVChArGxsaxatYqaNWvy2WefFSghKe5YpqamTJ06FU9PTxo2bMiFCxfYsmULOjo6z/X8xetDUZRCXw/OUGNjY0NMTAxXrlzhzp07nDx5kpEjRxa4x0QIIcTLRaM8y+Jd8VzkTwV44sQJeajNf1hGRgYWFhbYD1+JjoFxaYcjXqALn3Uo7RCEEEI8ofzf3zdv3sTc3LzIfi9t+Yf4P/Hx8URGRkpC/Yo4FuFX7A+lEEIIIf57JKn+D8gvTxBCCCGEEC+nl7amWgghhBBCiP8KSaqFEEIIIYR4SlL+IcQLVnt8gtyo+JqRGxWFEOLVJyPV4rEEBQXRpUuX0g7jmZgwYQJ169YFoG7dukyYMOGxts+f6vCff/555rGJV1NUVBQNGzbEzMwMa2trunTpQlpamlafzMxMwsLCqFy5MkZGRri5uanzWwshhHh5SVL9krl69Srvv/8+Li4uGBoaUrFiRby8vIiOjub27dulHd5LxdfXF41Gg0ajQUdHh4oVK9KjRw8uXrxYou1Hjx7Njh07ANixYwejR49+nuEKwa5duwgNDWXfvn1s27aNnJwc2rZty61bt9Q+I0aMID4+nqVLl5KamsqIESMYOnQo69evL8XIhRBCPIok1S+Rc+fOUa9ePbZu3UpkZCSHDx9m+/btjBgxgo0bN7J9+/Yit83Ozn6Bkb48Bg0aRHp6OleuXGH9+vX8/vvv9OvXr8j+iqKQk5MD5D3sxcrKCsh70I+pqekLiVm8vuLj4wkKCqJWrVrUqVOHmJgYLl26RHJystrnl19+YcCAAfj6+uLo6MjgwYOpU6cOBw8eLMXIhRBCPIok1S+RkJAQ9PT0OHjwID179sTNzQ13d3e6d+/O5s2b6dSpk9pXo9EQHR1NQEAAJiYm6qPXN27cSIMGDTA0NMTJyYmIiAg1iczfbuHChXTt2hVjY2OqVavGhg0btOI4fvw4HTp0wNzcHDMzM5o3b87Zs2e1+kybNg1bW1usrKwIDQ3VSurv3bvH2LFjqVSpEiYmJjRq1IikpCR1fWxsLJaWliQkJODm5oapqSn+/v6kp6c/9jUzNjbGxsYGW1tb9VHshw4dUtfnl2gkJCTg6emJgYEBe/bsKbSMZfjw4VqPj1YUhc8//xwnJyeMjIyoU6cOP/zww2PHKERRbt68CUC5cuXUNi8vLzZs2MCVK1dQFIXExEROnTqlPt1UCCHEy0mS6pfE9evX2bp1K6GhoZiYmBTa5+HHFI8fP56AgACOHj1KcHAwCQkJ9OvXj2HDhnHixAnmz5+vPo3xQREREfTs2ZOUlBTat29PYGAgN27cAODKlSt4e3tjaGjIzp07SU5OJjg4WCsxT0xM5OzZsyQmJrJo0SJiY2OJjY1V1w8cOJC9e/cSFxdHSkoKPXr0wN/fn9OnT6t9bt++zbRp01iyZAm7d+/m0qVLT11+cePGDVatWkWjRo0KrBs7dixRUVGkpqbi4eFRov198sknxMTEMG/ePI4fP86IESPo168fu3btKtH2WVlZZGRkaL2EyKcoCiNHjsTLy4vatWur7TNnzqRmzZpUrlwZfX19/P39mTt3Ll5eXqUYrRBCiEeR2T9eEmfOnEFRFGrUqKHVXr58ee7evQtAaGgoU6dOVdf17duX4OBgdfmtt97iww8/ZMCAAQA4OTkxadIkxo4dy/jx49V+QUFB9OnTB4DIyEhmzZrF/v378ff3Z86cOVhYWBAXF6c+wbF69epaMZUtW5bZs2ejq6uLq6srHTp0YMeOHQwaNIizZ8+yfPlyLl++jJ2dHZBXuxwfH09MTAyRkZFAXrlKdHQ0zs7OAISFhTFx4sTHvm5z585l4cKFKIrC7du3qV69OgkJCQX6TZw4kTZt2pR4v7du3WLGjBns3LmTJk2aAHnX86effmL+/Pn4+Pg8ch9RUVFERESU/GTEayUsLIyUlBR++uknrfaZM2eyb98+NmzYgIODA7t37yYkJARbW1tat25dStEKIYR4FEmqXzIPj0bv37+f3NxcAgMDycrK0lrn6emptZycnMyBAwe0Rqbv37/P3bt3uX37NsbGedO4PThSa2JigpmZGdeuXQPgyJEjNG/evNhHoteqVQtdXV112dbWlqNHjwJw6NAhFEUpkIhnZWWp9cuQV7aRn1Dn7yM/hscRGBjIxx9/DMCff/5JZGQkbdu2JTk5GTMzM7Xfw9fqUU6cOMHdu3cLJOL37t2jXr16JdpHeHg4I0eOVJczMjKwt7d/rDjEq2no0KFs2LCB3bt3U7lyZbX9zp07fPTRR6xdu5YOHfKm4fPw8ODIkSNMmzZNkmohhHiJSVL9knBxcUGj0XDy5EmtdicnJwCMjIwKbPNwmUhubi4RERF069atQF9DQ0P13w8nzBqNhtzc3CKP87Dits/NzUVXV5fk5GStxBvQuhGwsH0oivLIYz/MwsICFxcXIO8afvvtt9ja2rJixQreeecdtd/D10pHR6fA8R6sC88/n82bN1OpUiWtfgYGBiWKzcDAoMR9xetBURSGDh3K2rVrSUpKomrVqlrrs7Ozyc7ORkdHuzJPV1dX/UwKIYR4OUlS/ZKwsrKiTZs2zJ49m6FDhxZZV12c+vXrk5aWpiaZT8LDw4NFixaRnZ1d7Gh1UerVq8f9+/e5du0azZs3f+I4nlR+In/nzp1i+1WoUIFjx45ptR05ckQ955o1a2JgYMClS5dKVOohREmEhoaybNky1q9fj5mZGVevXgXyvhwaGRlhbm6Oj48PY8aMwcjICAcHB3bt2sXixYuZMWNGKUcvhBCiOHKj4ktk7ty55OTk4OnpyYoVK0hNTSUtLY2lS5dy8uTJAiO/Dxs3bhyLFy9mwoQJHD9+nNTUVFasWMEnn3xS4hjCwsLIyMigd+/eHDx4kNOnT7NkyZICD6goSvXq1QkMDKR///6sWbOG8+fPc+DAAaZOncqWLVtKHEdJ3b59m6tXr3L16lV+++03QkJCMDQ0pG3btsVu17JlSw4ePMjixYs5ffo048eP10qyzczMGD16NCNGjGDRokWcPXuWw4cPM2fOHBYtWvTMz0O8HubNm8fNmzfx9fXF1tZWfa1YsULtExcXR8OGDQkMDKRmzZp89tlnTJkyhSFDhpRi5EIIIR5FRqpfIs7Ozhw+fJjIyEjCw8O5fPkyBgYG1KxZk9GjRxMSElLs9n5+fmzatImJEyfy+eefU6ZMGVxdXbXKIB7FysqKnTt3MmbMGHx8fNDV1aVu3bo0a9asxPuIiYlh8uTJjBo1iitXrmBlZUWTJk1o3759ifeRlJREixYtOH/+PI6OjkX2W7BgAQsWLADybqD08PBgy5YtBW74fJifnx+ffvopY8eO5e7duwQHB9O/f3+1Nhxg0qRJWFtbExUVxblz57C0tKR+/fp89NFHJT4PIR5UkhInGxsbYmJiXkA0QgghniWN8iSFrEI8Z/lTAZ44ceKJylBeRhkZGVhYWGA/fCU6BsalHY54gS581qG0QxBCCPGE8n9/37x5E3Nz8yL7yUi1eCnFx8cTGRn5yiTUDzoW4VfsD6UQQggh/nskqRYvpbi4uNIOQQghhBCixORGRSGEEEIIIZ6SJNVCCCGEEEI8JSn/EOIFqz0+QW5UfM3IjYpCCPHqe21GqoOCgujSpUtph/Fa8fX1Zfjw4aUdhhAvjaioKBo2bIiZmRnW1tZ06dKlwBzwmZmZhIWFUblyZYyMjHBzc2PevHmlFLEQQoiSemZJ9dWrV3n//fdxcXHB0NCQihUr4uXlRXR0NLdv335Wh3kl+Pr6otFoCtyM99VXXxU7J/PDoqOjMTMzIycnR23LzMykTJkyBZ5muGfPHjQaDadOnXqq2B/HmjVrmDRpUrF9Dh8+TMeOHbG2tsbQ0BBHR0d69erFX3/9BeTNV63RaPjnn39eQMRCPF+7du0iNDSUffv2sW3bNnJycmjbti23bt1S+4wYMYL4+HiWLl1KamoqI0aMYOjQoaxfv74UIxdCCPEozySpPnfuHPXq1WPr1q1ERkZy+PBhtm/fzogRI9i4cSPbt28vctvs7OxnEcJ/jqGhIZ988slTnX+LFi3IzMzk4MGDatuePXuwsbHhwIEDWl9mkpKSsLOzo3r16k8V9+MoV64cZmZmRa6/du0arVu3pnz58iQkJJCamsp3332Hra3tY38Ru3fv3tOGK8RzFx8fT1BQELVq1aJOnTrExMRw6dIlkpOT1T6//PILAwYMwNfXF0dHRwYPHkydOnW0fs6FEEK8fJ5JUh0SEoKenh4HDx6kZ8+euLm54e7uTvfu3dm8eTOdOnVS+2o0GqKjowkICMDExITJkycDsHHjRho0aIChoSFOTk5ERERojcBqNBoWLlxI165dMTY2plq1amzYsEErjuPHj9OhQwfMzc0xMzOjefPmnD17VqvPtGnTsLW1xcrKitDQUK2k9t69e4wdO5ZKlSphYmJCo0aNSEpKUtfHxsZiaWlJQkICbm5umJqa4u/vT3p6+mNfsz59+nDz5k31aYBPokaNGtjZ2WnFmJSUREBAAM7Ozvz8889a7S1atHhm55mTk8OwYcOwtLTEysqKDz74gAEDBmiV2Dyq/OPnn38mIyODhQsXUq9ePapWrUrLli356quvqFKlChcuXFBjLlu2LBqNhqCgIHXfYWFhjBw5kvLly9OmTRsAZsyYgbu7OyYmJtjb2xMSEkJmZqZ6zIsXL9KpUyfKli2LiYkJtWrVUh+f/vfffxMYGEiFChUwMjKiWrVqWk+2u3LlCr169aJs2bJYWVkREBDAhQsXSvReCVGYmzdvAnlfQPN5eXmxYcMGrly5gqIoJCYmcurUKfz8/EorTCGEECXw1En19evX2bp1K6GhoZiYmBTaR6PRaC2PHz+egIAAjh49SnBwMAkJCfTr149hw4Zx4sQJ5s+frz5R70ERERH07NmTlJQU2rdvT2BgIDdu3ADyEh5vb28MDQ3ZuXMnycnJBAcHayXmiYmJnD17lsTERBYtWkRsbCyxsbHq+oEDB7J3717i4uJISUmhR48e+Pv7c/r0abXP7du3mTZtGkuWLGH37t1cunSJ0aNHP/Z1Mzc356OPPmLixIlaf/p9XL6+viQmJmqdo6+vLz4+Pmr7vXv3+OWXX9QE9Vmc59SpU/n++++JiYlh7969ZGRksG7duseK3cbGhpycHNauXVvo45vt7e1ZvXo1AGlpaaSnp/P111+r6xctWoSenh579+5l/vz5AOjo6DBz5kyOHTvGokWL2LlzJ2PHjlW3CQ0NJSsri927d3P06FGmTp2KqakpAJ9++iknTpzgxx9/JDU1lXnz5lG+fHn1erRo0QJTU1N2797NTz/9pH7ZKGqUPCsri4yMDK2XEPkURWHkyJF4eXlRu3ZttX3mzJnUrFmTypUro6+vj7+/P3PnzsXLy6sUoxVCCPEoT51UnzlzBkVRqFGjhlZ7+fLlMTU1xdTUlA8++EBrXd++fQkODsbJyQkHBwemTJnChx9+yIABA3BycqJNmzZMmjRJTZTyBQUF0adPH1xcXIiMjOTWrVvs378fgDlz5mBhYUFcXByenp5Ur16dgQMHasVVtmxZZs+ejaurKx07dqRDhw7s2LEDgLNnz7J8+XJWrVpF8+bNcXZ2ZvTo0Xh5eWmNVmZnZxMdHY2npyf169cnLCxM3cfjCgkJwdDQkBkzZjzR9pCXVO/du5ecnBz+/fdfDh8+jLe3Nz4+Puro8759+7hz5w4tWrR4Zuc5a9YswsPD6dq1K66ursyePRtLS8vHir1x48Z89NFH9O3bl/Lly9OuXTu++OIL/vzzTwB0dXXVETxra2tsbGywsLBQt3dxceHzzz+nRo0auLq6AjB8+HBatGihjnpPmjSJlStXqttcunSJZs2a4e7ujpOTEx07dsTb21tdV69ePTw9PXF0dKR169bqX1ni4uLQ0dFh4cKFuLu74+bmpv7p/sFR/gdFRUVhYWGhvuzt7R/r+ohXW1hYGCkpKSxfvlyrfebMmezbt48NGzaQnJzM9OnTCQkJKbaMTgghROl7ZjcqPjwavX//fo4cOUKtWrXIysrSWufp6am1nJyczMSJE9Uk3NTUlEGDBpGenq5VW+vh4aH+28TEBDMzM65duwbAkSNHaN68ebGPta5Vqxa6urrqsq2trbr9oUOHUBSF6tWra8Wxa9curRISY2NjnJ2dC93H4zIwMGDixIl88cUX6o15j6tFixbcunWLAwcOsGfPHqpXr461tTU+Pj4cOHCAW7dukZSURJUqVXBycnom53nz5k3+/PNP3njjDXW9rq4uDRo0KDLOyMhIreNdunQJgClTpnD16lWio6OpWbMm0dHRuLq6cvTo0Uee+8OfI8gbqW/Tpg2VKlXCzMyM/v37c/36dfWvAcOGDWPy5Mk0a9aM8ePHk5KSom773nvvERcXR926dRk7dqxW+UxycjJnzpzBzMxMPYdy5cpx9+7dAiVG+cLDw7l586b6+v333x95TuL1MHToUDZs2EBiYiKVK1dW2+/cucNHH33EjBkz6NSpEx4eHoSFhdGrVy+mTZtWihELIYR4lKeep9rFxQWNRsPJkye12p2cnAAwMjIqsM3DZSK5ublERETQrVu3An0NDQ3Vfz+cMGs0GnJzc4s8zsOK2z43NxddXV2Sk5O1Em9ALQ8oah+FlS6UVL9+/Zg2bRqTJ09+rJk/8rm4uFC5cmUSExP5+++/8fHxAfJKK6pWrcrevXtJTEykZcuWwLM9z4e/SBV3HYYMGULPnj3VZTs7O/XfVlZW9OjRgx49ehAVFUW9evWYNm0aixYtKvbcH/4cXbx4kfbt2zNkyBAmTZpEuXLl+Omnn3j77bfV2vl33nkHPz8/Nm/ezNatW4mKimL69OkMHTqUdu3acfHiRTZv3sz27dtp1aoVoaGhTJs2jdzcXBo0aMD3339fII4KFSoUGp+BgQEGBgbFnoN4vSiKwtChQ1m7di1JSUlUrVpVa312djbZ2dno6GiPd+jq6qr/VwkhhHg5PXVSbWVlRZs2bZg9ezZDhw4tsq66OPXr1yctLQ0XF5cnjsPDw4NFixaRnZ1d7Gh1UerVq8f9+/e5du1agenonicdHR2ioqLo1q0b77333hPto0WLFiQlJfH3338zZswYtd3Hx4eEhAT27dvHwIEDgWdznhYWFlSsWJH9+/er+7h//z6HDx+mbt26hW5Trlw5rZuxiqKvr4+zs7M6sqyvr6/u/1EOHjxITk4O06dPV5OSB0s/8tnb2zNkyBCGDBlCeHg4CxYsYOjQoUBeghwUFERQUBDNmzdnzJgxTJs2jfr167NixQqsra0xNzd/ZCxCFCY0NJRly5axfv16zMzMuHr1KpD3M2VkZIS5uTk+Pj6MGTMGIyMjHBwc2LVrF4sXL36qMjEhhBDP3zMp/5g7dy45OTl4enqyYsUKUlNTSUtLY+nSpZw8ebLAiOjDxo0bx+LFi5kwYQLHjx8nNTWVFStW8Mknn5Q4hrCwMDIyMujduzcHDx7k9OnTLFmypMCDFYpSvXp1AgMD6d+/P2vWrOH8+fMcOHCAqVOnqrNDPC8dOnSgUaNGBWrI9+/fj6urK1euXCl2+xYtWvDTTz9x5MgRdaQa8pLqBQsWcPfuXfUmxWd1nkOHDiUqKor169eTlpbG+++/z99//11g9Lo4mzZtol+/fmzatIlTp06RlpbGtGnT2LJlCwEBAQA4ODig0WjYtGkT//vf/7Rm8niYs7MzOTk5zJo1i3PnzrFkyRKio6O1+gwfPpyEhATOnz/PoUOH2LlzJ25ubkDe53D9+vWcOXOG48ePs2nTJnVdYGAg5cuXJyAggD179nD+/Hl27drF+++/z+XLl0t8zuL1Nm/ePG7evImvry+2trbqa8WKFWqfuLg4GjZsSGBgIDVr1uSzzz5jypQpDBkypBQjF0II8SjPJKl2dnbm8OHDtG7dmvDwcOrUqYOnpyezZs1i9OjRj3wAiJ+fH5s2bWLbtm00bNiQxo0bM2PGDBwcHEocg5WVFTt37iQzMxMfHx8aNGjAggULHmvUOiYmhv79+zNq1Chq1KhB586d+fXXXx/rBrP8h5U87lRrU6dO5e7du1ptt2/fJi0t7ZFzWbdo0YI7d+7g4uJCxYoV1XYfHx/+/fdfnJ2dtc7hWZznBx98QJ8+fejfvz9NmjTB1NQUPz8/rXKdR6lZsybGxsaMGjWKunXr0rhxY1auXMnChQt56623AKhUqRIRERF8+OGHVKxYkbCwsCL3V7duXWbMmMHUqVOpXbs233//PVFRUVp97t+/T2hoKG5ubvj7+1OjRg3mzp0L5I2Kh4eH4+Hhgbe3N7q6uuoDeoyNjdm9ezdVqlShW7duuLm5ERwczJ07d2TkWpSYoiiFvvKnioS80q2YmBiuXLnCnTt3OHnyJCNHjnysL6xCCCFePI3yNAXBooD8qQBPnDjxRGUo/1W5ubm4ubnRs2fPR36Jel1lZGTkzQIyfCU6BsalHY54gS581qG0QxBCCPGE8n9/37x5s9iBtKeuqRba4uPjiYyMfOUT6osXL7J161Z8fHzIyspi9uzZnD9/nr59+5Z2aC+9YxF+MrothBBCvGIkqX7G8ssFXnU6OjrExsYyevRoFEWhdu3abN++Xa1BFkIIIYR4nUhSLZ6Ivb09e/fuLe0whBBCCCFeCs/s4S9CCCGEEEK8rmSkWogXrPb4BLlR8TUjNyoKIcSrT0aqxTMTFBREly5dSjsMIV5KEyZMQKPRaL1sbGzU9UFBQQXWN27cuBQjFkII8Tgkqf4PuXr1Ku+//z4uLi4YGhpSsWJFvLy8iI6O5vbt26Ud3kvF19dXTUx0dHSoWLEiPXr04OLFi2qfCxcuaCUw+vr6uLi4MHnyZPWR6w/3efj18GOmhShOrVq1SE9PV19Hjx7VWu/v76+1/nk/eEoIIcSzI+Uf/xHnzp2jWbNmWFpaEhkZibu7Ozk5OZw6dYrvvvsOOzs7OnfuXOi2T/ro9v+6QYMGMXHiRBRF4eLFiwwfPpx+/fqxZ88erX7bt2+nVq1aZGVl8dNPP/HOO+9ga2vL22+/jb29Penp6QX2ffDgQbp06UJoaOiLOh3xCtDT09ManX6YgYFBseuFEEK8vGSk+j8iJCQEPT09Dh48SM+ePXFzc8Pd3Z3u3buzefNmOnXqpPbVaDRER0cTEBCAiYkJkydPBmDjxo00aNAAQ0NDnJyciIiIICcnR2u7hQsX0rVrV4yNjalWrRobNmzQiuP48eN06NABc3NzzMzMaN68OWfPntXqM23aNGxtbbGysiI0NFTriZD37t1j7NixVKpUCRMTExo1akRSUpK6PjY2FktLSxISEnBzc8PU1FQdvXtcxsbG2NjYYGtrS+PGjQkNDeXQoUMF+llZWWFjY4ODgwOBgYE0bdpU7aerq4uNjY3WS6PR8N5779G7d29Gjx792HGJ19fp06exs7OjatWq9O7dm3PnzmmtT0pKwtramurVqzNo0CCuXbtWSpEKIYR4XJJU/wdcv36drVu3EhoaiomJSaF9Hn6E8fjx4wkICODo0aMEBweTkJBAv379GDZsGCdOnGD+/Pnq0x8fFBERQc+ePUlJSaF9+/YEBgZy48YNAK5cuYK3tzeGhobs3LmT5ORkgoODtRLzxMREzp49S2JiIosWLSI2NpbY2Fh1/cCBA9m7dy9xcXGkpKTQo0cP/P39OX36tNrn9u3bTJs2jSVLlrB7924uXbr01MnrjRs3WLVqFY0aNSq238GDBzl06FCR/bKzs+nevTs2NjYsXLiw2H1lZWWRkZGh9RKvr0aNGrF48WISEhJYsGABV69epWnTply/fh2Adu3a8f3337Nz506mT5/OgQMHaNmyJVlZWaUcuRBCiJKQx5T/B/z66680btyYNWvW0LVrV7W9fPny3L17F4DQ0FCmTp0K5CXYw4cP58svv1T7ent7065dO8LDw9W2pUuXMnbsWP744w91u08++UR9zPitW7cwMzNjy5Yt+Pv789FHHxEXF0daWlqh5SRBQUEkJSVx9uxZdHV1AejZsyc6OjrExcVx9uxZqlWrxuXLl7Gzs1O3a926NW+88QaRkZHExsYycOBAzpw5g7OzMwBz585l4sSJXL16tcTXzNfXl59//hl9fX0UReH27dtUr16dhIQEHB0dgbx66apVq2JkZISOjg737t0jOzubwYP/H3v3Htfj/T9+/PEudC4WEnJIOpCInKNsLIeRwxhySJsxhdDQnMohh5k5jXxsKoeJbZhhYRTDHIqmKUnOVtrYyrFU798ffl1f70pymJTn/XZ739Z1Xa/XdT1f1zvr+X69X9fr9TGrVq0q9LwjRozgxx9/JDo6mpo1axYZQ0BAAIGBgQX2yzLlb57CZv+4e/cu9erVY+LEiYwfP77A8ZSUFGrXrk14eDi9e/d+FWEKIYQohCxTXgbl740+fvw4ubm5eHh4FOjNcnJy0tiOiYnhxIkTGj3TOTk5PHjwgHv37qGv/yjJc3BwUI4bGBhgZGSkfAUdGxtLu3btihyf3bBhQyWhBjA3N1cexjp58iRqtRpra2uNOpmZmZiamirb+vr6SkKdd47n+Rrcw8ODKVOmAHDjxg2CgoJ49913iYmJwcjISCm3adMm7OzsePjwIXFxcYwZM4ZKlSoxb948jfMFBwcTGhpKZGTkUxNqAH9/f41kKSMjAwsLi2duhyibDAwMaNSokca3NI8zNzendu3aTzwuhBDi9SJJdSlgZWWFSqXi7NmzGvstLS0B0NPTK1An/zCR3NxcAgMDC+3x0tXVVX7OnzCrVCpyc3OfeJ38iqqfm5uLtrY2MTExGok3gKGhYZHneJ4vVExMTLCysgIe3cNvvvkGc3NzNm3axEcffaSUs7CwUMrZ2dlx4cIFpk2bRkBAgHJvDh06xJgxY1ixYgVt2rQp1vV1dHTQ0dF55rjFmyEzM5OEhATatWtX6PGbN29y9epVzM3NX3FkQgghnock1aWAqakpnTp1Yvny5YwePfqJ46qL0rRpUxITE5Xk8Xk4ODgQFhb23LOJODo6kpOTQ1pa2hMTif9SXiJ///79p5bLzs4mKysLXV1drl69Sp8+ffj44481knEhnoWfnx/du3enVq1apKWlMXv2bDIyMhg6dCh37twhICCAPn36YG5uzqVLl/jss8+oXLmyxpAvIYQQry9JqkuJFStW0LZtW5ycnAgICMDBwQEtLS1OnDjB2bNnadasWZH1p0+fznvvvYeFhQV9+/ZFS0uL06dPExcXp8wO8jQ+Pj4sW7aM/v374+/vj4mJCUePHqVFixbY2Ng8tb61tTUeHh4MGTKEL774AkdHR/7++2/2799Po0aN6Nq1a7HiKK579+4p47Bv3LjB7Nmz0dXV5d1339Uod/PmTVJTU8nOziYuLo4lS5bQoUMHjI2NefDgAb169aJGjRpMnjy50HHdMgWaKI5r164xYMAA/v77b6pUqUKrVq04evQotWvX5v79+8TFxbF27Vr+/fdfzM3N6dChA5s2bdIYqiSEEOL1JUl1KVGvXj1OnTpFUFAQ/v7+XLt2DR0dHRo0aICfnx+jRo0qsr6bmxs7duxg5syZLFiwgPLly2Nra/tMPa+mpqbs37+fTz/9FBcXF7S1tWnSpAlt27Yt9jlCQkKYPXs2EyZM4Pr165iamtK6detnSqijoqLo0KEDFy9eVB46LMzq1atZvXo1AJUqVcLBwYFdu3YV+ADQsWNH4FEPtbm5OV27dlXGnh87doyYmBiAJ46Hlmd9RXGEh4c/8Zienh67d+9+hdEIIYR42WT2D1Hq5E0FGB8fX6oWtcl7elhm/3jzFDb7hxBCiNJBZv8QZVZERARBQUGlKqF+3B+BbkX+oxRCCCFE6SNJtSh1ivoaXQghhBCiJMiKikIIIYQQQrwgSaqFEEIIIYR4QTL8Q4hXzH7GbnlQ8Q0iDykKIcSbQXqqXwFPT0969uxZ0mEIIUrQ3Llzad68OUZGRlStWpWePXuSmJioUebOnTv4+PhQs2ZN9PT0sLOzY+XKlSUUsRBCiGdRJpLq1NRUxo4di5WVFbq6upiZmeHs7ExwcDD37t0r6fBeKxcuXGDAgAFUr14dXV1datasibu7O+fOnXsl11epVGzbtq3Y5UNDQ6lYseJ/Fo8Qr8qBAwfw9vbm6NGj7N27l+zsbN59913u3r2rlBk3bhwRERGsX7+ehIQExo0bx+jRo/nxxx9LMHIhhBDFUeqHf1y4cIG2bdtSsWJFgoKCaNSoEdnZ2Zw7d441a9ZQvXp1evToUWjd511uu7TKysqiU6dO2NrasmXLFszNzbl27Rq7du0iPT39P792hQoVSu35hXhRERERGtshISFUrVqVmJgY2rdvD8Bvv/3G0KFDcXV1BeDjjz9m1apVREdH4+7u/qpDFkII8QxKfU/1qFGjKFeuHNHR0fTr1w87OzsaNWpEnz592LlzJ927d1fKqlQqgoODcXd3x8DAQFme+6effqJZs2bo6upiaWlJYGAg2dnZGvW+/vprevXqhb6+PvXr12f79u0acZw5c4Zu3bphbGyMkZER7dq1Izk5WaPMwoULMTc3x9TUFG9vbx4+fKgcy8rKYuLEidSoUQMDAwNatmxJVFSUcjyvx3b37t3Y2dlhaGhI586dSUlJKfa9io+P58KFC6xYsYJWrVpRu3Zt2rZty5w5c2jevDkAly5dQqVSER4eTps2bdDV1aVhw4YascCjXrcWLVqgo6ODubk5kydP1rhnrq6u+Pj4MH78eCpXrkynTp2U1Q979eqFSqVStn///Xc6dOiAkZERxsbGNGvWjOjoaKKiohg2bBjp6emoVCpUKhUBAQEA1KlTh9mzZ+Pp6YmJiQnDhw8HYNKkSVhbW6Ovr4+lpSXTpk3TuM9PuhbA5cuX6d69O5UqVcLAwICGDRuya9cujfvXtWtXDA0NMTMzY/Dgwfz999/Fvv9CPC7vg+xbb72l7HN2dmb79u1cv34dtVpNZGQk586dw83NraTCFEIIUUylOqm+efMme/bswdvbGwMDg0LLqFQqje0ZM2bg7u5OXFwcXl5e7N69m0GDBjFmzBji4+NZtWqVsmLf4wIDA+nXrx+nT5+ma9eueHh4cOvWLQCuX79O+/bt0dXVZf/+/cTExODl5aWRZEZGRpKcnExkZCRhYWGEhoYSGhqqHB82bBiHDx8mPDyc06dP07dvXzp37kxSUpJS5t69eyxcuJB169Zx8OBBrly5gp+fX7HvV5UqVdDS0uL7778nJyenyLKffvopEyZM4NSpU7Rp04YePXpw8+ZNpb1du3alefPm/P7776xcuZJvvvlG+ZCSJywsjHLlynH48GFWrVrFiRMngEc9dCkpKcq2h4cHNWvW5MSJE8TExDB58mTKly9PmzZtWLx4McbGxqSkpJCSkqLR3s8//xx7e3tiYmKYNm0aAEZGRoSGhhIfH8+SJUtYvXo1X375pVLnSdcC8Pb2JjMzk4MHDxIXF8f8+fMxNDQEICUlBRcXF5o0aUJ0dDQRERHcuHGDfv36PfEeZmZmkpGRofESAh4tbT9+/HicnZ2xt7dX9i9dupQGDRpQs2ZNKlSoQOfOnVmxYgXOzs4lGK0QQojiKNXLlB87doxWrVqxZcsWevXqpeyvXLkyDx48AB4lSvPnzwceJdi+vr4aSVb79u3p0qUL/v7+yr7169czceJE/vzzT6Xe1KlTmTVrFgB3797FyMiIXbt20blzZz777DPCw8NJTEwsdDiJp6cnUVFRJCcno62tDUC/fv3Q0tIiPDyc5ORk6tevz7Vr16hevbpSr2PHjrRo0YKgoCBCQ0MZNmwY58+fp169egCsWLGCmTNnkpqaWux79tVXXzFx4kS0tbVxcnKiQ4cOeHh4YGlpCTzqqa5bty7z5s1j0qRJAGRnZ1O3bl1Gjx7NxIkTmTJlCj/88AMJCQnKh5YVK1YwadIk0tPT0dLSwtXVlfT0dE6dOqVxfZVKxdatWzUe3DQ2NmbZsmUMHTq0QLyhoaH4+vry77//auyvU6cOjo6ObN26tcj2fv7552zatEnpjS7qWg4ODvTp04cZM2YUODZ9+nSOHTvG7t27lX3Xrl3DwsKCxMRErK2tC9QJCAggMDCwwH5ZpvzNUtjsH97e3uzcuZNDhw5Rs2ZNZf/ChQtZvXo1CxcupHbt2hw8eBB/f3+2bt1Kx44dX2XYQggh/r/iLlNeqnuq8+TvjT5+/DixsbE0bNiQzMxMjWNOTk4a2zExMcycORNDQ0PlNXz4cFJSUjQecnRwcFB+NjAwwMjIiLS0NABiY2Np165dkeOzGzZsqCTUAObm5kr9kydPolarsba21ojjwIEDGkNI9PX1lYQ6/zmKy9vbm9TUVNavX0/r1q357rvvaNiwIXv37tUo17p1a+XncuXK4eTkREJCAgAJCQm0bt1a4763bduWO3fucO3aNWVf/nv9JOPHj+ejjz6iY8eOzJs3r8CwmScp7Pzff/89zs7OVKtWDUNDQ6ZNm8aVK1eKda0xY8Ywe/Zs2rZty4wZMzh9+rRyLCYmhsjISI33x9bWFuCJ8fr7+5Oenq68rl69Wqx2ibJt9OjRbN++ncjISI2E+v79+3z22WcsWrSI7t274+DggI+PDx988AELFy4swYiFEEIUR6lOqq2srFCpVJw9e1Zjv6WlJVZWVujp6RWok3+YSG5uLoGBgcTGxiqvuLg4kpKS0NXVVcrlT5hVKhW5ubkAhV4nv6Lq5+bmoq2tTUxMjEYcCQkJLFmypMhzPM8XDUZGRvTo0YM5c+bw+++/065duwJDNwqTl0Sr1eoCH2Ty4nh8/5OG5OQXEBCgjEnfv38/DRo0eGoPdGHnP3r0KP3796dLly7s2LGDU6dOMWXKFLKysop1rY8++ogLFy4wePBg4uLicHJyYtmyZcCj96h79+4a709sbCxJSUnKQ2b56ejoYGxsrPESby61Wo2Pjw9btmxh//791K1bV+P4w4cPefjwIVpamv9b1tbWVv5fIYQQ4vVVqpNqU1NTOnXqxPLlyzWmpXoWTZs2JTExESsrqwKv/H/cnsTBwYFff/1V44G4Z+Ho6EhOTg5paWkFYqhWrdpznbO4VCoVtra2Be7f0aNHlZ+zs7OJiYlRemYbNGjAkSNHNBL6I0eOYGRkRI0aNYq8Xvny5Qsdz21tbc24cePYs2cPvXv3JiQkBIAKFSo8dfx3nsOHD1O7dm2mTJmCk5MT9evX5/Lly8W+FoCFhQUjR45ky5YtTJgwgdWrVwOPfk/OnDlDnTp1CrxHxf3wIN5s3t7erF+/nm+//RYjIyNSU1NJTU3l/v37wKOhSS4uLnz66adERUVx8eJFQkNDWbt2rcbwNiGEEK+nUp1Uw6OxvNnZ2Tg5ObFp0yYSEhJITExk/fr1nD17VmPIRWGmT5/O2rVrlR7MhIQENm3axNSpU4sdg4+PDxkZGfTv35/o6GiSkpJYt25dgYUdnsTa2hoPDw+GDBnCli1buHjxIidOnGD+/Pkas0+8qNjYWNzd3fn++++Jj4/n/PnzfPPNN6xZs6bAdF1fffUVW7du5ezZs3h7e/PPP//g5eUFPJpx5erVq4wePZqzZ8/y448/MmPGDMaPH//UDyJ16tRh3759pKam8s8//3D//n18fHyIiori8uXLHD58mBMnTmBnZ6eUv3PnDvv27ePvv/8uct5xKysrrly5ooxTX7p0qUaP99Ou5evry+7du7l48SInT55k//79yjFvb29u3brFgAEDOH78OBcuXGDPnj14eXkVO+kXb7aVK1eSnp6Oq6sr5ubmymvTpk1KmfDwcJo3b46HhwcNGjRg3rx5zJkzh5EjR5Zg5EIIIYqj1M9TXa9ePU6dOkVQUBD+/v5cu3YNHR0dGjRogJ+fH6NGjSqyvpubGzt27GDmzJksWLCA8uXLY2try0cffVTsGExNTdm/fz+ffvopLi4uaGtr06RJE9q2bVvsc4SEhDB79mwmTJjA9evXMTU1pXXr1nTt2rXY54iKiqJDhw5cvHhRma7ucTVr1qROnToEBgYqU+flbY8bN06j7Lx585g/fz6nTp2iXr16/Pjjj1SuXBmAGjVqsGvXLj799FMaN27MW2+9xYcfflisDyJffPEF48ePZ/Xq1dSoUYNz585x8+ZNhgwZwo0bN6hcuTK9e/dWHvBr06YNI0eO5IMPPuDmzZvMmDFDmVYvP3d3d8aNG4ePjw+ZmZl069aNadOmKeW1tbWLvFZOTg7e3t5cu3YNY2NjOnfurDzUWr16dQ4fPsykSZNwc3MjMzOT2rVr07lz52J/oyHebMUZqlWtWjWNb06EEEKUHqV69g+hKW8qwPj4+Ode1CZv9o9Tp07RpEmTlxvgGy7v6WGZ/ePNUtjsH0IIIUqP4s7+Uep7qsX/iYiIICgo6I1aJbI0+iPQTR5aFEIIIcoYSarLkPDw8JIOQQghhBDijSRJtdBQp06d55qmTwghhBDiTSZPWAkhhBBCCPGCpKdaiFfMfsZueVDxDSIPKgohxJtBeqpLOU9PT3r27FnSYRRL3jR+sbGxJR2KEK/U3Llzad68OUZGRlStWpWePXsWmMf+zp07+Pj4ULNmTfT09LCzs2PlypUlFLEQQohnJUn1U6SmpjJ27FisrKzQ1dXFzMwMZ2dngoODi1yI5E3k6uqKSqUq8MpbuMLCwoKUlBTs7e1LOFIhXq0DBw7g7e3N0aNH2bt3L9nZ2bz77rsaK5mOGzeOiIgI1q9fT0JCAuPGjWP06NH8+OOPJRi5EEKI4pLhH0W4cOECbdu2pWLFigQFBdGoUSOys7M5d+4ca9asoXr16vTo0aPQug8fPnwjp7YbPnw4M2fO1Ninr/9oqIO2tvZ/vuw6QFZWFhUqVPjPryNEcUVERGhsh4SEULVqVWJiYmjfvj0Av/32G0OHDsXV1RWAjz/+mFWrVhEdHV1gxVMhhBCvH+mpLsKoUaMoV64c0dHR9OvXDzs7Oxo1akSfPn3YuXMn3bt3V8qqVCqCg4Nxd3fHwMCA2bNnA/DTTz/RrFkzdHV1sbS0JDAwkOzsbI16X3/9Nb169UJfX5/69euzfft2jTjOnDlDt27dMDY2xsjIiHbt2pGcnKxRZuHChZibm2Nqaoq3tzcPHz5UjmVlZTFx4kRq1KiBgYEBLVu2JCoqSjkeGhpKxYoV2b17N3Z2dhgaGtK5c2dSUlKe+Z7p6+tTrVo1jVfenMyFDf/Yvn079evXR09Pjw4dOhAWFoZKpeLff/9Vyhw5coT27dujp6eHhYUFY8aM0ejhq1OnDrNnz8bT0xMTExOGDx9Onz59GD16tFLG19cXlUrFmTNnAMjOzsbIyIjdu3cDj1a7W7BgAZaWlujp6dG4cWO+//57jbYVJ1YhiiM9PR2At956S9nn7OzM9u3buX79Omq1msjISM6dO4ebm1tJhSmEEOIZSFL9BDdv3mTPnj14e3tjYGBQaBmVSqWxPWPGDNzd3YmLi8PLy4vdu3czaNAgxowZQ3x8PKtWrVJWPXxcYGAg/fr14/Tp03Tt2hUPDw9u3boFwPXr12nfvj26urrs37+fmJgYvLy8NBLzyMhIkpOTiYyMJCwsjNDQUEJDQ5Xjw4YN4/Dhw4SHh3P69Gn69u1L586dSUpKUsrcu3ePhQsXsm7dOg4ePMiVK1fw8/N70dtYpEuXLvH+++/Ts2dPYmNjGTFiBFOmTNEoExcXh5ubG7179+b06dNs2rSJQ4cO4ePjo1Hu888/x97enpiYGKZNm4arq6vGB4cDBw5QuXJlDhw4AMCJEyd48OCBspT81KlTCQkJYeXKlZw5c4Zx48YxaNAgpXxxYs0vMzOTjIwMjZcQarWa8ePH4+zsrDEUaunSpTRo0ICaNWtSoUIFOnfuzIoVK3B2di7BaIUQQhSXJNVPcP78edRqNTY2Nhr7K1eujKGhIYaGhkyaNEnj2MCBA/Hy8sLS0pLatWszZ84cJk+ezNChQ7G0tKRTp07MmjWLVatWadTz9PRkwIABWFlZERQUxN27dzl+/DgAX331FSYmJoSHh+Pk5IS1tTXDhg3TiKtSpUosX74cW1tb3nvvPbp168a+ffsASE5OZuPGjXz33Xe0a9eOevXq4efnh7OzMyEhIco5Hj58SHBwME5OTjRt2hQfHx/lHM9ixYoVyv3Je4WFhRVaNjg4GBsbGz7//HNsbGzo378/np6eGmU+//xzBg4ciK+vL/Xr16dNmzYsXbqUtWvX8uDBA6Xc22+/jZ+fH1ZWVlhZWeHq6sqZM2f4+++/+eeffzhz5gy+vr5Koh0VFUWzZs0wNDTk7t27LFq0iDVr1uDm5oalpSWenp4MGjRIea+KE2t+c+fOxcTERHlZWFg88/0UZY+Pjw+nT59m48aNGvuXLl3K0aNH2b59OzExMXzxxReMGjWKX375pYQiFUII8SxkTPVT5O+NPn78OLm5uXh4eJCZmalxzMnJSWM7JiaGEydOaPRM5+Tk8ODBA+7du6eMNXZwcFCOGxgYYGRkRFpaGgCxsbG0a9euyPHZDRs2RFtbW9k2NzcnLi4OgJMnT6JWq7G2ttaok5mZiampqbKtr69PvXr1NM6RF8Oz8PDwKNCDW7Vq1ULLJiYm0rx5c419LVq00NiOiYnh/PnzbNiwQdmnVqvJzc3l4sWL2NnZAQXvvb29Paamphw4cIDy5cvTuHFjevTowdKlS4FHSbWLiwsA8fHxPHjwgE6dOmmcIysrC0dHx2LHmp+/vz/jx49XtjMyMiSxfsONHj2a7du3c/DgQWrWrKnsv3//Pp999hlbt26lW7dHU/A5ODgQGxvLwoUL6dixY0mFLIQQopgkqX4CKysrVCoVZ8+e1dhvaWkJgJ6eXoE6+YeJ5ObmEhgYSO/evQuU1dXVVX7OnzCrVCpyc3OfeJ38iqqfm5uLtrY2MTExGok3gKGhYZHneJ6VFU1MTLCysipWWbVaXeBDS/5r5ubmMmLECMaMGVOgfq1atZSf8997lUpF+/btiYqKokKFCri6umJvb09OTg5xcXEcOXIEX19f5RoAO3fupEaNGhrn0dHRKXas+eno6Cj1xZtNrVYzevRotm7dSlRUFHXr1tU4/vDhQx4+fIiWluaXh9ra2srvpxBCiNebJNVPYGpqSqdOnVi+fDmjR49+4rjqojRt2pTExMRiJ5mFcXBwICws7LlnE3F0dCQnJ4e0tDTatWv33HH8F2xtbdm1a5fGvujoaI3tpk2bcubMmee6h66urvzvf/+jQoUKzJw5E5VKRbt27Vi4cCH3799XxlM3aNAAHR0drly5ovReP0+sQjyJt7c33377LT/++CNGRkakpqYCjz6E6unpYWxsjIuLC59++il6enrUrl2bAwcOsHbtWhYtWlTC0QshhCgOGVNdhBUrVpCdnY2TkxObNm0iISGBxMRE1q9fz9mzZwv0/OY3ffp01q5dS0BAAGfOnCEhIYFNmzYxderUYsfg4+NDRkYG/fv3Jzo6mqSkJNatW1dg4Ygnsba2xsPDgyFDhrBlyxYuXrzIiRMnmD9/foEk8WW4d+8eqampGq9//vmn0LIjRozg7NmzTJo0iXPnzrF582blAcu8XuFJkybx22+/4e3tTWxsLElJSWzfvl1jZo8nyRtXHRcXp3ygcHV1ZcOGDTRt2lSZlcTIyAg/Pz/GjRtHWFgYycnJnDp1iq+++koZD16cWIV4kpUrV5Keno6rqyvm5ubKa9OmTUqZ8PBwmjdvjoeHBw0aNGDevHnMmTNHmeddCCHE602S6iLUq1ePU6dO0bFjR/z9/WncuDFOTk4sW7YMPz8/Zs2aVWR9Nzc3duzYwd69e2nevDmtWrVi0aJF1K5du9gxmJqasn//fu7cuYOLiwvNmjVj9erVz9RrHRISwpAhQ5gwYQI2Njb06NGDY8eOPdP43qioKFQqFZcuXSqy3OrVqzWSBnNzcwYMGFBo2bp16/L999+zZcsWHBwcWLlypTIeO2/YhIODAwcOHCApKYl27drh6OjItGnTMDc3f2rM9vb2VK5cmcaNGysJtIuLCzk5OQV6pGfNmsX06dOZO3cudnZ2uLm58dNPPylf0xcnViGeRK1WF/p6/GHXatWqERISwvXr17l//z5nz55l/Pjx8qFNCCFKCZX6eQbOijdO3lSA8fHx/+miNnPmzCE4OJirV6/+Z9d4WZ411oyMjEezgPhuRktH/z+OTrwuLs3rVtIhCCGEeAF5f7/T09OVTrrCyJhqUSwREREEBQW99IR6xYoVNG/eHFNTUw4fPsznn39eYA7q18XLivWPQLci/1EKIYQQovSRpFoUS3h4+H9y3qSkJGbPns2tW7eoVasWEyZMwN/f/z+51osqTbEKIYQQ4tWS4R9CvCLF/fpICCGEEK+P4v79lgcVhRBCCCGEeEEy/EOIV8x+xm55ULGMk4cThRDizSM91SXM09OTnj17lnQYr8yb1l7x5lq5ciUODg4YGxtjbGxM69at+fnnn5XjarWagIAAqlevjp6enjKvuhBCiNKpzCfVqampjB07FisrK3R1dTEzM8PZ2Zng4GDu3btX0uG9ds6fP4+Xlxe1atVCR0eHGjVq8M4777Bhwways7NLOjwhSo2aNWsyb948oqOjiY6O5u2338bd3V1JnBcsWMCiRYtYvnw5J06coFq1anTq1Inbt2+XcORCCCGeR5ke/nHhwgXatm1LxYoVCQoKolGjRmRnZ3Pu3DnWrFlD9erV6dGjR6F1n3dZ8NLs+PHjdOzYkYYNG/LVV19ha2vLnTt3iI+PJzg4GHt7exo3blxo3TfxfglRlO7du2tsz5kzh5UrV3L06FEaNGjA4sWLmTJlCr179wYgLCwMMzMzvv32W0aMGFESIQshhHgBZbqnetSoUZQrV47o6Gj69euHnZ0djRo1ok+fPuzcuVPjj55KpSI4OBh3d3cMDAyYPXs2AD/99BPNmjVDV1cXS0tLAgMDNXpsVSoVX3/9Nb169UJfX5/69euzfft2jTjOnDlDt27dMDY2xsjIiHbt2pGcnKxRZuHChZibm2Nqaoq3tzcPHz5UjmVlZTFx4kRq1KiBgYEBLVu2JCoqSjkeGhpKxYoV2b17N3Z2dhgaGtK5c2dSUlKKfa/yVneztrbm8OHDdO/enfr16+Po6IiHhwe//vorDg4OAFy6dAmVSsXmzZtxdXVFV1eX9evXExAQQJMmTTTOu3jxYurUqVPgeoGBgVStWhVjY2NGjBhBVlaWRiwLFizA0tISPT09GjduzPfff68cz1vdcd++fTg5OaGvr0+bNm2UpdvT09PR1tYmJiZGOd9bb71F8+bNlXNs3LhRY1XG69ev88EHH1CpUiVMTU1xd3fXWD0yOzubMWPGULFiRUxNTZk0aRJDhw6VoSyiWHJycggPD+fu3bu0bt2aixcvkpqayrvvvquU0dHRwcXFhSNHjpRgpEIIIZ5XmU2qb968yZ49e/D29sbAwKDQMvmX/50xYwbu7u7ExcXh5eXF7t27GTRoEGPGjCE+Pp5Vq1YpKws+LjAwkH79+nH69Gm6du2Kh4cHt27dAh4la+3bt0dXV5f9+/cTExODl5eXRmIeGRlJcnIykZGRhIWFERoaSmhoqHJ82LBhHD58mPDwcE6fPk3fvn3p3LkzSUlJSpl79+6xcOFC1q1bx8GDB7ly5Qp+fn7Fvl+xsbEkJCTg5+eHllbhvxb579ekSZMYM2YMCQkJuLm5Ffta+/btIyEhgcjISDZu3MjWrVsJDAxUjk+dOpWQkBBWrlzJmTNnGDduHIMGDeLAgQMa55kyZQpffPEF0dHRlCtXDi8vLwBMTExo0qSJ8sHj9OnTyn8zMjKAR4l53lLl9+7do0OHDhgaGnLw4EEOHTqkfDDJS/bnz5/Phg0bCAkJ4fDhw2RkZLBt27Yi25mZmUlGRobGS7xZ4uLiMDQ0REdHh5EjR7J161YaNGhAamoqAGZmZhrlzczMlGNCCCFKlzKbVJ8/fx61Wo2NjY3G/sqVK2NoaIihoSGTJk3SODZw4EC8vLywtLSkdu3azJkzh8mTJzN06FAsLS3p1KkTs2bNYtWqVRr1PD09GTBgAFZWVgQFBXH37l2OHz8OwFdffYWJiQnh4eE4OTlhbW3NsGHDNOKqVKkSy5cvx9bWlvfee49u3bqxb98+AJKTk9m4cSPfffcd7dq1o169evj5+eHs7ExISIhyjocPHxIcHIyTkxNNmzbFx8dHOUdxnDt3DkAjrrS0NOVeGRoasmLFCo06vr6+9O7dm7p161K9evViX6tChQqsWbOGhg0b0q1bN2bOnMnSpUvJzc3l7t27LFq0iDVr1uDm5oalpSWenp4MGjSowH2fM2cOLi4uNGjQgMmTJ3PkyBEePHgAgKurq5JUR0VF8c4772Bvb8+hQ4eUfa6ursCjhW20tLT4+uuvadSoEXZ2doSEhHDlyhXlHMuWLcPf359evXpha2vL8uXLqVixYpHtnDt3LiYmJsrLwsKi2PdIlA02NjbExsZy9OhRPvnkE4YOHUp8fLxyPP8HVbVaXWCfEEKI0qFMj6mGgn+0jh8/Tm5uLh4eHmRmZmocc3Jy0tiOiYnhxIkTGj3TOTk5PHjwgHv37qGv/2hatLxhEQAGBgYYGRmRlpYGPOoBbteuXZHjjRs2bIi2traybW5uTlxcHAAnT55ErVZjbW2tUSczMxNTU1NlW19fn3r16mmcIy+GZ/H4/TI1NSU2NhZ4lKQ+PkQDCt6v4mrcuLFy7wBat27NnTt3uHr1KmlpaTx48IBOnTpp1MnKysLR0VFj3+P3PW8oR1paGrVq1cLV1ZVvvvmG3NxcDhw4wDvvvEOtWrU4cOAATZs25dy5c0pPdUxMDOfPn8fIyEjj/A8ePCA5OZn09HRu3LhBixYtlGPa2to0a9aM3NzcJ7bT39+f8ePHK9sZGRmSWL9hKlSogJWVFfDo38uJEydYsmSJ8oE+NTVVYxhSWlpagd5rIYQQpUOZTaqtrKxQqVScPXtWY7+lpSUAenp6BerkHyaSm5tLYGCg8iDR43R1dZWf8yfMKpVKSbYKu05+RdXPzc1Vxgc/nngDGBoaFnmOZ1kss379+gCcPXtWGRetra2tJATlyhX8Vcl/v7S0tApc8/Gx4U/zeLt37txJjRo1NI7r6OhobD/e5rwPA3n127dvz+3btzl58iS//vors2bNwsLCgqCgIJo0aULVqlWxs7NT6jRr1owNGzYUiKlKlSoFrpHnafdXR0enQMzizaZWq8nMzKRu3bpUq1aNvXv3Kh8Ws7KyOHDgAPPnzy/hKIUQQjyPMptUm5qa0qlTJ5YvX87o0aOfOK66KE2bNiUxMVFJLJ+Hg4MDYWFhzz07hqOjIzk5OaSlpdGuXbvnjqM417G1tWXhwoX069fvieOqi1KlShVSU1M1vsLO6+l+3O+//879+/eVDxxHjx7F0NCQmjVrUqlSJXR0dLhy5YrSk/w88sZVL1++HJVKRYMGDahevTqnTp1ix44dGudu2rQpmzZtUh6cLIyZmRnHjx9X3oOcnBxOnTpV4MFMIfJ89tlndOnSBQsLC27fvk14eDhRUVFERESgUqnw9fUlKCiI+vXrU79+fYKCgtDX12fgwIElHboQQojnUGbHVAOsWLGC7OxsnJyc2LRpEwkJCSQmJrJ+/XrOnj1boOc3v+nTp7N27VoCAgI4c+YMCQkJbNq0ialTpxY7Bh8fHzIyMujfvz/R0dEkJSWxbt06ZaaKp7G2tsbDw4MhQ4awZcsWLl68yIkTJ5g/fz67du0qdhxPo1KpCAkJITExkbZt27J9+3aSkpKU6fT++uuvp94vV1dX/vrrLxYsWEBycjJfffWVxmIXebKysvjwww+Jj4/n559/ZsaMGfj4+KClpYWRkRF+fn6MGzeOsLAwkpOTOXXqFF999RVhYWHP1CZXV1fWr1+Pi4sLKpWKSpUq0aBBAzZt2qSMpwbw8PCgcuXKuLu78+uvv3Lx4kUOHDjA2LFjuXbtGgCjR49m7ty5/PjjjyQmJjJ27Fj++ecfGf8qnujGjRsMHjwYGxsb3nnnHY4dO0ZERIQytGnixIn4+voyatQonJycuH79Onv27CkwDEkIIUTpUKaT6nr16nHq1Ck6duyIv78/jRs3xsnJiWXLluHn58esWbOKrO/m5saOHTvYu3cvzZs3p1WrVixatIjatWsXOwZTU1P279/PnTt3cHFxoVmzZqxevfqZeq1DQkIYMmQIEyZMwMbGhh49enDs2LFnGp+bNw3d49PE5deqVStiYmKwsbHB29ubBg0a0KZNGzZu3MiXX37JJ598UuQ17OzsWLFiBV999RWNGzfm+PHjhc5A8s4771C/fn3at29Pv3796N69OwEBAcrxWbNmMX36dObOnYudnR1ubm789NNP1K1bt9jtBejQoQM5OTkaCbSLiws5OTkaPdX6+vocPHiQWrVq0bt3b+zs7PDy8uL+/ftKz/WkSZMYMGAAQ4YMoXXr1hgaGuLm5qYxDEiIx33zzTdcunSJzMxM0tLS+OWXXzSeFVCpVAQEBJCSksKDBw84cOAA9vb2JRixEEKIF6FSP8vAW1Fq5U0FGB8fL4u0vAS5ubnY2dnRr1+/p344y5ORkfFoFhDfzWjp6D+9gii1Ls3rVtIhCCGEeEny/n6np6c/cZgolOEx1UJTREQEQUFBklA/p8uXL7Nnzx5cXFzIzMxk+fLlXLx48bnGv/4R6FbkP0ohhBBClD6SVL8hwsPDSzqEUk1LS4vQ0FD8/PxQq9XY29vzyy+/KDOICCGEEOLNJkm1EMVgYWHB4cOHSzoMIYQQQrymyvSDikIIIYQQQrwK0lMtxCtmP2O3PKhYhshDiUIIIUB6qsscT09PevbsWdJh/GdCQ0OpWLFikWUCAgJkURbxyq1cuRIHBweMjY0xNjamdevWGvO0q9VqAgICqF69Onp6eri6unLmzJkSjFgIIcTLJEn1M0pNTWXs2LFYWVmhq6uLmZkZzs7OBAcHc+/evZIO77UxefLkAg/xJSQkoFKpGDx4sMb+devWUb58ee7cufMqQxTipapZsybz5s0jOjqa6Oho3n77bdzd3ZXEecGCBSxatIjly5dz4sQJqlWrRqdOnbh9+3YJRy6EEOJlkKT6GVy4cAFHR0f27NlDUFAQp06d4pdffmHcuHH89NNP/PLLL0+s+/Dhw1cYacnr0KEDZ8+eJTU1VdkXFRWFhYUFkZGRGmWjoqJo0aIFhoaGrzpMIV6a7t2707VrV6ytrbG2tmbOnDkYGhpy9OhR1Go1ixcvZsqUKfTu3Rt7e3vCwsK4d+8e3377bUmHLoQQ4iWQpPoZjBo1inLlyhEdHU2/fv2ws7OjUaNG9OnTh507d9K9e3elrEqlIjg4GHd3dwwMDJg9ezYAP/30E82aNUNXVxdLS0sCAwPJzs7WqPf111/Tq1cv9PX1qV+/Ptu3b9eI48yZM3Tr1g1jY2OMjIxo164dycnJGmUWLlyIubk5pqameHt7ayT1WVlZTJw4kRo1amBgYEDLli2JiopSjucNsdi9ezd2dnYYGhrSuXNnUlJSin2vnJ2dKV++vMZ5o6Ki8Pb25vbt25w/f15jf4cOHQBYtGgRjRo1wsDAAAsLC0aNGvXUHux58+ZhZmaGkZERH374IQ8ePChQJiQkBDs7O3R1dbG1tWXFihUax48cOUKTJk3Q1dXFycmJbdu2oVKpiI2NVcps376d+vXro6enR4cOHQgLC0OlUvHvv/8W+76IN0NOTg7h4eHcvXuX1q1bc/HiRVJTU3n33XeVMjo6Ori4uHDkyJESjFQIIcTLIkl1Md28eZM9e/bg7e2NgYFBoWVUKpXG9owZM3B3dycuLg4vLy92797NoEGDGDNmDPHx8axatUpZ6fBxgYGB9OvXj9OnT9O1a1c8PDy4desWANevX6d9+/bo6uqyf/9+YmJi8PLy0kjMIyMjSU5OJjIykrCwMEJDQwkNDVWODxs2jMOHDxMeHs7p06fp27cvnTt3JikpSSlz7949Fi5cyLp16zh48CBXrlwpdMnxJzEwMKB58+YavdIHDhzgnXfeoW3btsr+q1evcuHCBSWp1tLSYunSpfzxxx+EhYWxf/9+Jk6c+MTrbN68mRkzZjBnzhyio6MxNzcvkDCvXr2aKVOmMGfOHBISEggKCmLatGmEhYUBcPv2bbp3706jRo04efIks2bNYtKkSRrnuHTpEu+//z49e/YkNjaWESNGMGXKlCLvQWZmJhkZGRovUbbFxcVhaGiIjo4OI0eOZOvWrTRo0ED5xsbMzEyjvJmZmca3OUIIIUovSaqL6fz586jVamxsbDT2V65cGUNDQwwNDQskYgMHDsTLywtLS0tq167NnDlzmDx5MkOHDsXS0pJOnToxa9YsVq1apVHP09OTAQMGYGVlRVBQEHfv3uX48eMAfPXVV5iYmBAeHo6TkxPW1tYMGzZMI65KlSqxfPlybG1tee+99+jWrRv79u0DIDk5mY0bN/Ldd9/Rrl076tWrh5+fH87OzoSEhCjnePjwIcHBwTg5OdG0aVN8fHyUcxSXq6ur0lMdHx/P/fv3cXR0xMXFRdkfGRmJjo4Obdq0AcDX15cOHTpQt25d3n77bWbNmsXmzZufeI3Fixfj5eXFRx99hI2NDbNnz6ZBgwYaZWbNmsUXX3xB7969qVu3Lr1792bcuHHKfd+wYQMqlYrVq1fToEEDunTpwqeffqpxjuDgYGxsbPj888+xsbGhf//+eHp6Ftn+uXPnYmJiorwsLCye4e6J0sjGxobY2FiOHj3KJ598wtChQ4mPj1eO5//grVarC+wTQghROklS/Yzy/wE8fvw4sbGxNGzYkMzMTI1jTk5OGtsxMTHMnDlTScINDQ0ZPnw4KSkpGg85Ojg4KD8bGBhgZGREWloaALGxsbRr167I5cYbNmyItra2sm1ubq7UP3nyJGq1Gmtra404Dhw4oDGERF9fn3r16hV6juLq0KED586d488//yQqKgpnZ2e0tbU1kuqoqChatWqFnp4e8CjJ7tSpEzVq1MDIyIghQ4Zw8+ZN7t69W+g1EhISaN26tca+x7f/+usvrl69yocffqjR3tmzZyvtTUxMxMHBAV1dXaVeixYtNM6ZmJhI8+bNNfblL5Ofv78/6enpyuvq1atFlhelX4UKFbCyssLJyYm5c+fSuHFjlixZQrVq1QAK9EqnpaUV6L0WQghROsk81cVkZWWFSqXi7NmzGvstLS0BlKTwcfmHieTm5hIYGEjv3r0LlH08ocufMKtUKnJzc594nfyKqp+bm4u2tjYxMTEaiTeg8aBgYedQq9VPvfbj2rZtS4UKFYiKiiIyMhIXFxfg0YeN9PR0zp07R2RkpNLje/nyZbp27crIkSOZNWsWb731FocOHeLDDz987gc989q9evVqWrZsqXEsr/2F9Rbmb2txyuSno6ODjo7Oc8Utyga1Wk1mZiZ169alWrVq7N27F0dHR+DRsw0HDhxg/vz5JRylEEKIl0GS6mIyNTWlU6dOLF++nNGjRz9xXHVRmjZtSmJiIlZWVs8dh4ODA2FhYTx8+LDI3uoncXR0JCcnh7S0NNq1a/fccRSHnp6e8hDkwYMHlSEV5cqVo02bNqxdu5ZLly4p46mjo6PJzs7miy++QEvr0ZcoRQ39ALCzs+Po0aMMGTJE2Xf06FHlZzMzM2rUqMGFCxfw8PAo9By2trZs2LCBzMxMJQmOjo4uUGbXrl0a+/KXEW+2zz77jC5dumBhYcHt27cJDw8nKiqKiIgIVCoVvr6+BAUFUb9+ferXr09QUBD6+voMHDiwpEMXQgjxEsjwj2ewYsUKsrOzcXJyYtOmTSQkJJCYmMj69es5e/ZsgZ7f/KZPn87atWsJCAjgzJkzJCQksGnTJqZOnVrsGHx8fMjIyKB///5ER0eTlJTEunXrSExMLFZ9a2trPDw8GDJkCFu2bOHixYucOHGC+fPnF0gaX4YOHToQHh7O/fv3adq0qbLfxcWFpUuXKok3QL169cjOzmbZsmVcuHCBdevWERwcXOT5x44dy5o1a1izZg3nzp1jxowZBRbUCAgIYO7cuSxZsoRz584RFxdHSEgIixYtAh6Nfc/NzeXjjz8mISGB3bt3s3DhQuD/hvuMGDGCs2fPMmnSJM6dO8fmzZuVhz9lTKwAuHHjBoMHD8bGxoZ33nmHY8eOERERQadOnQCYOHEivr6+jBo1CicnJ65fv86ePXswMjIq4ciFEEK8DJJUP4N69epx6tQpOnbsiL+/P40bN8bJyYlly5bh5+fHrFmziqzv5ubGjh072Lt3L82bN6dVq1YsWrSI2rVrFzsGU1NT9u/fz507d3BxcaFZs2asXr36mXqtQ0JCGDJkCBMmTMDGxoYePXpw7NixZ3qQLioqCpVKxaVLl4os16FDB27fvk3btm0pV+7/vhhxcXHh9u3btGnTRukdbtKkCYsWLWL+/PnY29uzYcMG5s6dW+T5P/jgA6ZPn86kSZNo1qwZly9f5pNPPtEo89FHH/H1118TGhpKo0aNcHFxITQ0lLp16wJgbGzMTz/9RGxsLE2aNGHKlClMnz4d+L9hOXXr1uX7779ny5YtODg4sHLlSmX2DxniIQC++eYbLl26RGZmJmlpafzyyy9KQg2PPnwFBASQkpLCgwcPOHDgAPb29iUYsRBCiJdJpX7WgbJCgDIVYHx8/HMNQ3ndbdiwgWHDhpGenv7Ecexz5swhODi42A8gZmRkPJoFxHczWjr6LzNcUYIuzetW0iEIIYT4D+X9/U5PT8fY2PiJ5WRMtXguERERBAUFlZmEeu3atVhaWlKjRg1+//13Jk2aRL9+/TQS6hUrVtC8eXNMTU05fPgwn3/+OT4+Ps98rT8C3Yr8RymEEEKI0keSavFcwsPDSzqElyo1NZXp06eTmpqKubk5ffv2LbAoT1JSErNnz+bWrVvUqlWLCRMm4O/vX0IRCyGEEOJ1IsM/hHhFivv1kRBCCCFeHzL8Q4jXlP2M3TKmupSRcdNCCCGeRmb/EEIIIYQQ4gVJUi1KhEqlYtu2bSUdBvB6xSJebwcPHqR79+5Ur179ib83CQkJ9OjRAxMTE4yMjGjVqhVXrlx59cEKIYR4pSSpFi9dWloaI0aMoFatWujo6FCtWjXc3Nz47bfflDIpKSl06dKl2OcMCAigSZMm/0G0mrFcunQJlUpFbGzsf3ItUbrdvXuXxo0bs3z58kKPJycn4+zsjK2tLVFRUfz+++9MmzZNme9cCCFE2SVjqsVL16dPHx4+fEhYWBiWlpbcuHGDffv2cevWLaVMtWrVSjBCTa9TLOL11qVLlyI/DE6ZMoWuXbuyYMECZZ+lpeWrCE0IIUQJk55q8VL9+++/HDp0iPnz59OhQwdq165NixYt8Pf3p1u3/3vYK/9X55MmTcLa2hp9fX0sLS2ZNm0aDx8+BB4tNBMYGMjvv/+OSqVCpVIpS4QXJTc3l5o1axZY6vzkyZOoVCouXLhQIJa8VRYdHR1RqVS4uroCkJ2dzZgxY6hYsSKmpqZMmjSJoUOH0rNnz+e7UaLMyc3NZefOnVhbW+Pm5kbVqlVp2bKlDC0SQog3hCTV4qUyNDTE0NCQbdu2kZmZWex6RkZGhIaGEh8fz5IlS1i9ejVffvkl8Ggp8gkTJtCwYUNSUlJISUnhgw8+eOo5tbS06N+/Pxs2bNDY/+2339K6detCexCPHz8OwC+//EJKSgpbtmwBYP78+WzYsIGQkBAOHz5MRkbGU5OlzMxMMjIyNF6i7EpLS+POnTvMmzePzp07s2fPHnr16kXv3r05cOBASYcnhBDiPyZJtXipypUrR2hoKGFhYVSsWJG2bdvy2Wefcfr06SLrTZ06lTZt2lCnTh26d+/OhAkT2Lx5MwB6enoYGhpSrlw5qlWrRrVq1Z64dHh+Hh4eHD58mMuXLwOPehPDw8MZNGhQoeWrVKkCgKmpKdWqVeOtt94CYNmyZfj7+9OrVy9sbW1Zvnw5FStWLPLac+fOxcTERHlZWFgUK2ZROuXm5gLg7u7OuHHjaNKkCZMnT+a9994r8G2JEEKIskeSavHS9enThz///JPt27fj5uZGVFQUTZs2LXLIxvfff4+zszPVqlXD0NCQadOmvZQZExwdHbG1tWXjxo0AHDhwgLS0NPr161fsc6Snp3Pjxg1atGih7NPW1qZZs2ZF1vP39yc9PV15Xb169fkaIUqFypUrU65cORo0aKCx387OTmb/EEKIN4Ak1eI/oaurS6dOnZg+fTpHjhzB09OTGTNmFFr26NGj9O/fny5durBjxw5OnTrFlClTyMrKeimxeHh48O233wKPhn64ublRuXLlZz6PSqXS2H7aYqQ6OjoYGxtrvETZVaFCBZo3b05iYqLG/nPnzlG7du0SikoIIcSrIkm1eCUaNGjA3bt3Cz12+PBhateuzZQpU3BycqJ+/frKcI08FSpUICcn57muPXDgQOLi4oiJieH777/Hw8PjiWUrVKgAoHEtExMTzMzMlPHWecdPnTr1XPGI0uvOnTvExsYqUy5evHiR2NhYpSf6008/ZdOmTaxevZrz58+zfPlyfvrpJ0aNGlWCUQshhHgVZEo98VLdvHmTvn374uXlhYODA0ZGRkRHR7NgwQLc3d0LrWNlZcWVK1cIDw+nefPm7Ny5k61bt2qUqVOnjpLA1KxZEyMjI3R0dIoVU926dWnTpg0ffvgh2dnZT4wDoGrVqujp6REREUHNmjXR1dXFxMSE0aNHM3fuXKysrLC1tWXZsmX8888/BXqvRdkWHR1Nhw4dlO3x48cDMHToUEJDQ+nVqxfBwcHMnTuXMWPGYGNjww8//ICzs3NJhSyEEOIVkZ5q8VIZGhrSsmVLvvzyS9q3b4+9vT3Tpk1j+PDhT1wwI+/BLh8fH5o0acKRI0eYNm2aRpk+ffrQuXNnOnToQJUqVZQx0p6ensq0d0Xx8PDg999/p3fv3kU+5FiuXDmWLl3KqlWrqF69upKAT5o0iQEDBjBkyBBat26NoaEhbm5usqjHG8bV1RW1Wl3g9fjzAl5eXiQlJXH//n1iY2OL/BAnhBCi7FCpnzYwVIjXmKurK66urgQEBLzS6+bm5mJnZ0e/fv2YNWtWsepkZGQ8mgXEdzNaOvr/cYTiZbo0r9vTCwkhhCiT8v5+p6enF/l8lAz/EKXW7du3SU5OZseOHf/5tS5fvsyePXtwcXEhMzOT5cuXc/HiRQYOHPjM5/oj0E0eWhRCCCHKGEmqRallZGT0yqap09LSIjQ0FD8/P9RqNfb29vzyyy/Y2dm9kusLIYQQ4vUmSbUQxWBhYcHhw4dLOgwhhBBCvKYkqRbiFbOfsVvGVJciMp5aCCFEccjsH0IIIYQQQrwgSapfc56envTs2bOkwyi20NBQKlas+FpeNyAggCZNmijbz3JvL126hEqlUhb9EG+elStX4uDgoKyO2bp1a37++Wfl+JYtW5TVOuV3RQgh3jxvfFKdmprK2LFjsbKyQldXFzMzM5ydnQkODubevXslHd5r6dtvv0VbW5uRI0eWdCgvZMmSJRrzCwtRlJo1azJv3jyio6OJjo7m7bffxt3dnTNnzgBw9+5d2rZty7x580o4UiGEECXhjR5TfeHCBdq2bUvFihUJCgqiUaNGZGdnc+7cOdasWUP16tXp0aNHoXUfPnxI+fLlX3HEr4c1a9YwceJEVq5cyaJFi9DXL53jg01MTEo6BFGKdO/eXWN7zpw5rFy5kqNHj9KwYUMGDx4MPPpWQwghxJvnje6pHjVqFOXKlSM6Opp+/fphZ2dHo0aN6NOnDzt37tT4I6pSqQgODsbd3R0DAwNmz54NwE8//USzZs3Q1dXF0tKSwMBAsrOzNep9/fXX9OrVC319ferXr8/27ds14jhz5gzdunXD2NgYIyMj2rVrR3JyskaZhQsXYm5ujqmpKd7e3jx8+FA5lpWVxcSJE6lRowYGBga0bNmSqKgo5Xje0Ijdu3djZ2eHoaEhnTt3JiUl5Znv2aVLlzhy5AiTJ0/G1taW77//vsjyeUMuVq1ahYWFBfr6+vTt25d///1Xo1xISAh2dnbo6upia2vLihUrNK6pUqnYsmULHTp0QF9fn8aNG/Pbb78VuN62bduwtrZGV1eXTp06FTnlXv7hH7m5ucyfPx8rKyt0dHSoVasWc+bMKbRubm4uw4cPx9ramsuXLxd5D0TZk5OTQ3h4OHfv3qV169YlHY4QQojXwBubVN+8eZM9e/bg7e2NgYFBoWVUKpXG9owZM3B3dycuLg4vLy92797NoEGDGDNmDPHx8axatYrQ0NACiVhgYCD9+vXj9OnTdO3aFQ8PD27dugXA9evXad++Pbq6uuzfv5+YmBi8vLw0EvPIyEiSk5OJjIwkLCyM0NBQjWELw4YN4/Dhw4SHh3P69Gn69u1L586dSUpKUsrcu3ePhQsXsm7dOg4ePMiVK1fw8/N75vu2Zs0aunXrhomJCYMGDeKbb755ap3z58+zefNmfvrpJyIiIoiNjcXb21s5vnr1aqZMmcKcOXNISEggKCiIadOmERYWpnGeKVOm4OfnR2xsLNbW1gwYMEDjPt27d485c+YQFhbG4cOHycjIoH///sVum7+/P/Pnz2fatGnEx8fz7bffYmZmVqBcVlYW/fr1Izo6mkOHDlG7du1Cz5eZmUlGRobGS5RucXFxGBoaoqOjw8iRI9m6dSsNGjQo6bCEEEK8Bt7YpPr8+fOo1WpsbGw09leuXBlDQ0MMDQ2ZNGmSxrGBAwfi5eWFpaUltWvXZs6cOUyePJmhQ4diaWlJp06dmDVrFqtWrdKo5+npyYABA7CysiIoKIi7d+9y/PhxAL766itMTEwIDw/HyckJa2trhg0bphFXpUqVWL58Oba2trz33nt069aNffv2AZCcnMzGjRv57rvvaNeuHfXq1cPPzw9nZ2dCQkKUczx8+JDg4GCcnJxo2rQpPj4+yjmKKzc3l9DQUAYNGgRA//79+e233zh//nyR9R48eEBYWBhNmjShffv2LFu2jPDwcFJTUwGYNWsWX3zxBb1796Zu3br07t2bcePGFbiPfn5+dOvWDWtrawIDA7l8+bLGtR8+fMjy5ctp3bo1zZo1IywsjCNHjij3uii3b99myZIlLFiwgKFDh1KvXj2cnZ356KOPNMrduXOHbt26kZqaSlRUFFWrVn3iOefOnYuJiYnysrCweGoc4vVmY2NDbGwsR48e5ZNPPmHo0KHEx8eXdFhCCCFeA29sUp0nf2/08ePHiY2NpWHDhmRmZmocc3Jy0tiOiYlh5syZShJuaGjI8OHDSUlJ0XjI0cHBQfnZwMAAIyMj0tLSAIiNjaVdu3ZFjs9u2LAh2trayra5ublS/+TJk6jVaqytrTXiOHDggMYQEn19ferVq1foOYprz5493L17ly5dugCPPoC8++67rFmzpsh6tWrVombNmsp269atyc3NJTExkb/++ourV6/y4YcfasQ/e/bsAkNgHr+P5ubmABptKFeunMZ7ZGtrS8WKFUlISHhq2xISEsjMzOSdd94pstyAAQO4c+cOe/bseeqYbH9/f9LT05XXq1r9Ufx3KlSogJWVFU5OTsydO5fGjRuzZMmSkg5LCCHEa+CNfVDRysoKlUrF2bNnNfZbWloCoKenV6BO/mEiubm5BAYG0rt37wJldXV1lZ/zJ8wqlYrc3NwnXie/ourn5uaira1NTEyMRuINYGhoWOQ51Gr1U6/9uDVr1nDr1i2NBxNzc3M5deoUs2bNKnD9J8n7IPN4O1avXk3Lli01yuU/3+NtyDtHXv38+5+2L7/ivA8AXbt2Zf369Rw9epS33367yLI6Ojro6OgU67yidFKr1QU+fAshhHgzvbFJtampKZ06dWL58uWMHj36ieOqi9K0aVMSExOxsrJ67jgcHBwICwt77tlEHB0dycnJIS0tjXbt2j13HE9z8+ZNfvzxR8LDw2nYsKGyPzc3l3bt2vHzzz/z3nvvFVr3ypUr/Pnnn1SvXh2A3377DS0tLaytrTEzM6NGjRpcuHABDw+PF4oxOzub6OhoWrRoAUBiYiL//vsvtra2T61bv3599PT02LdvX4EhH4/75JNPsLe3p0ePHuzcuRMXF5cXilmUHp999hldunTBwsKC27dvEx4eTlRUFBEREQDcunVL+V2HR79/ANWqVaNatWolFrcQQohX441NqgFWrFhB27ZtcXJyIiAgAAcHB7S0tDhx4gRnz56lWbNmRdafPn067733HhYWFvTt2xctLS1Onz5NXFycMjvI0/j4+LBs2TL69++Pv78/JiYmHD16lBYtWhQY710Ya2trPDw8GDJkCF988QWOjo78/fff7N+/n0aNGtG1a9dixfE069atw9TUVGnn49577z2++eabJybVurq6DB06lIULF5KRkcGYMWPo16+fkmgEBAQwZswYjI2N6dKlC5mZmURHR/PPP/8wfvz4YsdYvnx5Ro8ezdKlSylfvjw+Pj60atVKSbKLoqury6RJk5g4cSIVKlSgbdu2/PXXX5w5c4YPP/xQo+zo0aPJycnhvffe4+eff8bZ2bnYMYrS68aNGwwePJiUlBRMTExwcHAgIiKCTp06AbB9+3aGDRumlM97SHbGjBkEBASURMhCCCFeoTc6qa5Xrx6nTp0iKCgIf39/rl27ho6ODg0aNMDPz49Ro0YVWd/NzY0dO3Ywc+ZMFixYQPny5bG1tS2ypzM/U1NT9u/fz6effoqLiwva2to0adKEtm3bFvscISEhzJ49mwkTJnD9+nVMTU1p3br1MyXUUVFRdOjQgYsXL1KnTp0Cx9esWUOvXr0KJNQAffr04YMPPuDGjRuFntvKyorevXvTtWtXbt26RdeuXTWmzPvoo4/Q19fn888/Z+LEiRgYGNCoUSN8fX2LHT88Gjc+adIkBg4cyLVr13B2dn7qeO/HTZs2jXLlyjF9+nT+/PNPzM3Nn7jAja+vL7m5uXTt2pWIiAjatGnzTLGK0udpM914enri6en5aoIRQgjx2lGpn3VgrSiT8qYCjI+Pf6mL2gQEBLBt2zZZshnIyMh4NAuI72a0dErngjlvokvzupV0CEIIIUpQ3t/v9PR0jI2Nn1juje6pFv8nIiKCoKCgN3aVyFfpj0C3Iv9RCiGEEKL0kaRaABAeHl7SIQghhBBClFoy/EOIV6S4Xx8JIYQQ4vUhwz+EeE3Zz9gtY6pLERlTLYQQojje+BUVhRBCCCGEeFGSVJcQT09PevbsWdJhCCGKaeXKlTg4OGBsbIyxsTGtW7fm559/Vo5v2bIFNzc3KleujEqlkhlvhBDiDVNmk+rU1FTGjh2LlZUVurq6mJmZ4ezsTHBwMPfu3Svp8F4rrq6uqFQqVCoVWlpamJmZ0bdvXy5fvlzSoREVFYVKpeLff/8t6VDEG65mzZrMmzeP6OhooqOjefvtt3F3d+fMmTMA3L17l7Zt2zJv3rwSjlQIIURJKJNjqi9cuEDbtm2pWLEiQUFBNGrUiOzsbM6dO8eaNWuoXr06PXr0KLTu8y4XXtoNHz6cmTNnolaruXz5Mr6+vgwaNIhff/31uc+ZlZVFhQoVXmKUr8e1xJupe/fuGttz5sxh5cqVHD16lIYNGzJ48GAALl26VALRCSGEKGllsqd61KhRlCtXjujoaPr164ednR2NGjWiT58+7Ny5U+OPo0qlIjg4GHd3dwwMDJTlxX/66SeaNWuGrq4ulpaWBAYGkp2drVHv66+/plevXujr61O/fn22b9+uEceZM2fo1q0bxsbGGBkZ0a5dO5KTkzXKLFy4EHNzc0xNTfH29ubhw4fKsaysLCZOnEiNGjUwMDCgZcuWREVFKcdDQ0OpWLEiu3fvxs7ODkNDQzp37kxKSsoz3zN9fX2qVauGubk5rVq1wtvbm5MnT2qUiY+Pp2vXrhgaGmJmZsbgwYP5+++/leOurq74+Pgwfvx4KleurLF8c/369dHT06NDhw6EhYVp9D5fvnyZ7t27U6lSJQwMDGjYsCG7du3i0qVLdOjQAYBKlSqhUqmUFeuedK1FixbRqFEjDAwMsLCwYNSoUdy5c0eJ8UnXAvjnn3/w8PCgSpUq6OnpUb9+fUJCQpS6169f54MPPqBSpUqYmpri7u4uCdQbKicnh/DwcO7evUvr1q1LOhwhhBCvgTKXVN+8eZM9e/bg7e2NgYFBoWVUKpXG9owZM3B3dycuLg4vLy92797NoEGDGDNmDPHx8axatUpZcfBxgYGB9OvXj9OnT9O1a1c8PDy4desW8CgBa9++Pbq6uuzfv5+YmBi8vLw0EvPIyEiSk5OJjIwkLCyM0NBQQkNDlePDhg3j8OHDhIeHc/r0afr27Uvnzp1JSkpSyty7d4+FCxeybt06Dh48yJUrV/Dz83uhe3jr1i2+++47WrZsqexLSUnBxcWFJk2aEB0dTUREBDdu3KBfv34adcPCwihXrhyHDx9m1apVXLp0iffff5+ePXsSGxvLiBEjmDJlikYdb29vMjMzOXjwIHFxccyfPx9DQ0MsLCz44YcfAEhMTCQlJYUlS5Y88VoAWlpaLF26lD/++IOwsDD279/PxIkTn3oteLRMeXx8PD///DMJCQmsXLmSypUrK/e5Q4cOGBoacvDgQQ4dOqR8iMnKyir0PmZmZpKRkaHxEqVbXFwchoaG6OjoMHLkSLZu3UqDBg1KOiwhhBCvgTI3T/WxY8do1aoVW7ZsoVevXsr+ypUr8+DBA+BRYjV//nzgUYLt6+vLl19+qZRt3749Xbp0wd/fX9m3fv16Jk6cyJ9//qnUmzp1KrNmzQIejac0MjJi165ddO7cmc8++4zw8HASExMLHU7i6elJVFQUycnJaGtrA9CvXz+0tLQIDw8nOTmZ+vXrc+3aNapXr67U69ixIy1atCAoKIjQ0FCGDRvG+fPnqVevHgArVqxg5syZpKamFvueubq6cuTIESpUqIBarebevXtYW1uze/du6tSpA8D06dM5duwYu3fvVupdu3YNCwsLEhMTsba2xtXVlfT0dE6dOqWUmTx5Mjt37iQuLk7ZN3XqVObMmcM///xDxYoVcXBwoE+fPsyYMaNAbFFRUXTo0EEp+3jM+a9VmO+++45PPvlE6VEv6lo9evSgcuXKrFmzpsCxNWvWsGDBAhISEpQPZVlZWVSsWJFt27bx7rvvFqgTEBBAYGBggf2yTHnp8viUellZWVy5coV///2XH374ga+//poDBw5oJNaXLl2ibt26nDp1iiZNmpRAxEIIIV6mN36e6vy90cePHyc3NxcPDw8yMzM1jjk5OWlsx8TEcOLECY2e6ZycHB48eMC9e/fQ13+UEDk4OCjHDQwMMDIyIi0tDYDY2FjatWtX5Pjshg0bKgk1gLm5uZJ8njx5ErVajbW1tUadzMxMTE1NlW19fX0loc47R14Mz8LDw0PpQb5x4wZBQUG8++67xMTEYGRkRExMDJGRkUqv7uOSk5OVOPPfy8TERJo3b66xr0WLFhrbY8aM4ZNPPmHPnj107NiRPn36aNzbJ8l/LXjU+x8UFER8fDwZGRlkZ2fz4MED7t69i4GBQZHX+uSTT+jTpw8nT57k3XffpWfPnrRp0wZ49Dtx/vx5jIyMNK734MGDAkN68vj7+zN+/HhlOyMjAwsLi6e2S7y+KlSogJWVFfDo9+/EiRMsWbJE+aZECCHEm6vMJdVWVlaoVCrOnj2rsd/S0hIAPT29AnXyDxPJzc0lMDCQ3r17Fyirq6ur/Jw/YVapVOTm5j7xOvkVVT83NxdtbW1iYmI0Em9AI7Et7BzP8+WDiYmJkixYWVnxzTffYG5uzqZNm/joo4/Izc2le/fuSg//48zNzZWf899LtVpd4ANO/vg++ugj3Nzc2LlzJ3v27GHu3Ll88cUXjB49usiY81/r8uXLdO3alZEjRzJr1izeeustDh06xIcffqiMVS/qWl26dOHy5cvs3LmTX375hXfeeQdvb28WLlxIbm4uzZo1Y8OGDQXiqFKlSqHx6ejooKOjU2QbROmmVqsLfEgXQgjxZipzSbWpqSmdOnVi+fLljB49+onjqovStGlTEhMTlSTzeTg4OBAWFvbcs4k4OjqSk5NDWloa7dq1e+44nldeIn///n3g0T354YcfqFOnDuXKFf/XxtbWVnkQME90dHSBchYWFowcOZKRI0fi7+/P6tWrGT16tDKjR05OzlOvFR0dTXZ2Nl988QVaWo8eF9i8eXOxrwWPEmRPT088PT1p164dn376KQsXLqRp06Zs2rSJqlWryhLjb6jPPvuMLl26YGFhwe3btwkPDycqKoqIiAjg0bMIV65cUYaIJSYmAlCtWjWqVatWYnELIYR4Ncrcg4rwaFxxdnY2Tk5ObNq0iYSEBBITE1m/fj1nz54t0POb3/Tp01m7di0BAQGcOXOGhIQENm3axNSpU4sdg4+PDxkZGfTv35/o6GiSkpJYt26d8of2aaytrfHw8GDIkCFs2bKFixcvcuLECebPn18gSX0Z7t27R2pqKqmpqfz++++MGjUKXV1dZaywt7c3t27dYsCAARw/fpwLFy6wZ88evLy8ikx4R4wYwdmzZ5k0aRLnzp1j8+bNysOYeT3Yvr6+7N69m4sXL3Ly5En279+PnZ0dALVr10alUrFjxw7++usvjZk88qtXrx7Z2dksW7aMCxcusG7dOoKDgzXKFHWt6dOn8+OPP3L+/HnOnDnDjh07lGMeHh5UrlwZd3d3fv31Vy5evMiBAwcYO3Ys165de76bLkqVGzduMHjwYGxsbHjnnXc4duwYERERGrPcODo60q3bozHY/fv3x9HRscDvoBBCiLKpTCbV9erV49SpU3Ts2BF/f38aN26Mk5MTy5Ytw8/PT3m48Enc3NzYsWMHe/fupXnz5rRq1YpFixZRu3btYsdgamrK/v37uXPnDi4uLjRr1ozVq1c/U691SEgIQ4YMYcKECdjY2NCjRw+OHTv2TONy8xZPedrUb6tXr8bc3Bxzc3M6dOjAX3/9xa5du7CxsQGgevXqHD58mJycHNzc3LC3t2fs2LGYmJgovcKFqVu3Lt9//z1btmzBwcGBlStXKmO384ZG5OTk4O3tjZ2dHZ07d8bGxoYVK1YAUKNGDQIDA5k8eTJmZmb4+Pg88VpNmjRh0aJFzJ8/H3t7ezZs2MDcuXM1yhR1rQoVKuDv74+DgwPt27dHW1ub8PBw4NHY9YMHD1KrVi169+6NnZ0dXl5e3L9/X3qu3xDffPMNly5dIjMzk7S0NH755RcloYZHDx+r1eoCr4CAgJILWgghxCtT5mb/EJrypgKMj49/bRa1mTNnDsHBwVy9erWkQ3ml8p4eltk/SpfHZ/8QQgjx5nnjZ/8Qj0RERBAUFFSiCfWKFSto3rw5pqamHD58mM8//7zIHuey7o9AN+ndFkIIIcoYSarLuLzhCyUpKSmJ2bNnc+vWLWrVqsWECRM05gAXQgghhCjtZPiHEK9Icb8+EkIIIcTrQ4Z/CPGasp+xW8ZUv0ZkzLQQQoiXoUzO/iGEEEIIIcSrJEl1CfL09KRnz54lHcZLp1Kp2LZt2396DVdXV3x9fYsdy7Zt2wqs7CjE465fv86gQYMwNTVFX1+fJk2aEBMToxzfsmULbm5uVK5cGZVKRWxsbMkFK4QQ4rVTppPq1NRUxo4di5WVFbq6upiZmeHs7ExwcDD37t0r6fBeK09KUkNDQ6lYseIrj+dlSUlJoUuXLnTp0oWUlBSNY3lzeP/7778a+4ubsIuy459//qFt27aUL1+en3/+mfj4eL744guN3/27d+/Stm1b5s2bV3KBCiGEeG2V2THVFy5coG3btlSsWJGgoCAaNWpEdnY2586dY82aNVSvXp0ePXoUWvd5lxYX/z21Wl2sJcvzPL48tCwVLZ5k/vz5WFhYEBISouyrU6eORpnBgwcDPHUhJSGEEG+mMttTPWrUKMqVK0d0dDT9+vXDzs6ORo0a0adPH3bu3En37t2VsiqViuDgYNzd3TEwMGD27NkA/PTTTzRr1gxdXV0sLS0JDAwkOztbo97XX39Nr1690NfXp379+mzfvl0jjjNnztCtWzeMjY0xMjKiXbt2JCcna5RZuHAh5ubmmJqa4u3tzcOHD5VjWVlZTJw4kRo1amBgYEDLli2JiopSjuf1JO/evRs7OzsMDQ3p3LlzgV7Zl2nlypXUq1ePChUqYGNjw7p1655YNiAgAJVKVeCVt1S5Wq1mwYIFWFpaoqenR+PGjfn++++V+nm9ybt378bJyQkdHR1+/fVXAHJzc5k4cSJvvfUW1apV01i57tKlSwW+ov/3339RqVRERUVx6dIlOnToAEClSpVQqVR4enri6enJgQMHWLJkiRJrXhIVHx9P165dMTQ0xMzMjMGDB/P333+/nJsqStT27dtxcnKib9++VK1aFUdHR1avXl3SYQkhhChFymRSffPmTfbs2YO3tzcGBgaFlsk/vnbGjBm4u7sTFxeHl5cXu3fvZtCgQYwZM4b4+HhWrVqlrE74uMDAQPr168fp06fp2rUrHh4e3Lp1C3g0RrN9+/bo6uqyf/9+YmJi8PLy0kjMIyMjSU5OJjIykrCwMEJDQ5WEE2DYsGEcPnyY8PBwTp8+Td++fencuTNJSUlKmXv37rFw4ULWrVvHwYMHuXLlCn5+fi96Gwu1detWxo4dy4QJE/jjjz8YMWIEw4YNIzIystDyfn5+pKSkKK+FCxeir6+Pk5MTAFOnTiUkJISVK1dy5swZxo0bx6BBgzhw4IDGeSZOnMjcuXNJSEjAwcEBgLCwMAwMDDh27BgLFixg5syZ7N27t1jtsLCw4IcffgAgMTGRlJQUlixZwpIlS2jdujXDhw9XYrawsCAlJQUXFxeaNGlCdHQ0ERER3Lhxg379+j3xGpmZmWRkZGi8xOvpwoULrFy5kvr167N7925GjhzJmDFjWLt2bUmHJoQQopQok8M/zp8/j1qtxsbGRmN/5cqVefDgAQDe3t7Mnz9fOTZw4EC8vLyU7cGDBzN58mSGDh0KgKWlJbNmzWLixInMmDFDKefp6cmAAQMACAoKYtmyZRw/fpzOnTvz1VdfYWJiQnh4uDKcxNraWiOmSpUqsXz5crS1tbG1taVbt27s27eP4cOHk5yczMaNG7l27RrVq1cHHiWpERERhISEEBQUBDwarhIcHEy9evUA8PHxYebMmc9831asWMHXX3+tsS87OxtdXV1le+HChXh6ejJq1CgAxo8fz9GjR1m4cKHS8/s4Q0NDDA0NATh69ChTp04lLCwMe3t77t69y6JFi9i/fz+tW7dW7vOhQ4dYtWoVLi4uynlmzpxJp06dNM7t4OCgvBf169dn+fLl7Nu3r0C5wmhra/PWW28BULVqVY2xsxUqVEBfX19juMjKlStp2rSpcs8B1qxZg4WFBefOnSvwvgLMnTuXwMDAp8YiSl5ubi5OTk7K++vo6MiZM2dYuXIlQ4YMKeHohBBClAZlMqnOk783+vjx4+Tm5uLh4UFmZqbGsbye0zwxMTGcOHFCo2c6JyeHBw8ecO/ePfT1H80znNdrCmBgYICRkRFpaWkAxMbG0q5duyLHZzds2BBtbW1l29zcnLi4OABOnjyJWq0ukLBlZmZiamqqbOvr6ysJdd458mJ4Fh4eHkyZMkVj35YtWzQSyYSEBD7++GONMm3btmXJkiVFnvvKlSv07NkTPz8/pXc3Pj6eBw8eFEiCs7KycHR01NiX//0BzXsPz9/u4oiJiSEyMlL5gPC45OTkQpNqf39/xo8fr2xnZGRgYWHxn8QnXoy5uTkNGjTQ2GdnZ6d8myGEEEI8TZlMqq2srFCpVJw9e1Zjv6WlJQB6enoF6uQfJpKbm0tgYCC9e/cuUPbxntv8CbNKpSI3N/eJ18mvqPq5ubloa2sTExOjkXgDGsldYed4noUyTUxMsLKy0thXtWrVAuXyf1hRq9VFTld39+5devToQevWrTV60PPauXPnTmrUqKFRR0dHR2O7sGE8Rd07LS0tJbY8j49Vf1a5ubl0795d49uNPObm5oXW0dHRKdAO8Xpq27YtiYmJGvvOnTtH7dq1SygiIYQQpU2ZTKpNTU3p1KkTy5cvZ/To0U8cV12Upk2bkpiYWCDJfBYODg6EhYU992wijo6O5OTkkJaWRrt27Z47jpfJzs6OQ4cOaXwlfuTIEezs7Aotr1arGTRoELm5uaxbt04j+W7QoAE6OjpcuXJFY6jHy1ClShXg0ZR6eb3e+ecVrlChAkCB2UQqVKhQYF/Tpk354YcfqFOnDuXKlcl/Nm+0cePG0aZNG4KCgujXrx/Hjx/nf//7H//73/+UMrdu3eLKlSv8+eefAEoSXq1aNZlZRgghRNl8UBEejQ/Ozs7GycmJTZs2kZCQQGJiIuvXr+fs2bMFen7zmz59OmvXriUgIIAzZ86QkJDApk2bmDp1arFj8PHxISMjg/79+xMdHU1SUhLr1q0r0CP2JNbW1nh4eDBkyBC2bNnCxYsXOXHiBPPnz2fXrl3FjuNl+vTTTwkNDSU4OJikpCQWLVrEli1bnvhgZEBAAL/88gurVq3izp07pKamkpqayv379zEyMsLPz49x48YRFhZGcnIyp06d4quvviIsLOyF4tTT06NVq1bMmzeP+Ph4Dh48WOC9q127NiqVih07dvDXX39x584d4NFUaseOHePSpUv8/fff5Obm4u3tza1btxgwYADHjx/nwoUL7NmzBy8vr2ea4k+8npo3b87WrVvZuHEj9vb2zJo1i8WLF+Ph4aGU2b59O46OjnTr9mhZ8/79++Po6EhwcHBJhS2EEOI1UmaT6nr16nHq1Ck6duyIv78/jRs3xsnJiWXLluHn58esWbOKrO/m5saOHTvYu3cvzZs3p1WrVixatOiZvg42NTVl//793LlzBxcXF5o1a8bq1aufqdc6JCSEIUOGMGHCBGxsbOjRowfHjh17prG5edPSvYz5dXv27MmSJUv4/PPPadiwIatWrSIkJARXV9dCyx84cIA7d+7Qpk0bzM3NldemTZsAmDVrFtOnT2fu3LnY2dnh5ubGTz/9RN26dV841jVr1vDw4UOcnJwYO3asMlVinho1ahAYGMjkyZMxMzPDx8cHePQwqLa2Ng0aNKBKlSpcuXKF6tWrc/jwYXJycnBzc8Pe3p6xY8diYmKiDDURpdt7771HXFwcDx48ICEhgeHDh2sc9/T0RK1WF3g9PpWjEEKIN5dK/TyDb0WpkjcVYHx8vCxqU4IyMjIwMTHBwnczWjr6JR2O+P8uzetW0iEIIYR4jeX9/U5PT8fY2PiJ5WRw6BsgIiKCoKAgSahfE38EuhX5j1IIIYQQpY8k1W+A8PDwkg5BCCGEEKJMk8GgQgghhBBCvCDpqRbiFbOfsVvGVL8GZCy1EEKIl0l6qoUQQgghhHhBklSLV8LV1RVfX9+SDkOIArKzs5k6dSp169ZFT08PS0tLZs6cqazOKYQQQhTHG5NUe3p60rNnz5d6TrVazf/+9z9atmyJoaEhFStWxMnJicWLF3Pv3r2Xei0hxH9j/vz5BAcHs3z5chISEliwYAGff/45y5YtK+nQhBBClCIypvoFDB48mC1btjB16lSWL19OlSpV+P3331m8eDF16tR57iT+eZc1F0I8u99++w13d3dlpcQ6deqwceNGoqOjSzgyIYQQpckb01P9NPHx8XTt2hVDQ0PMzMwYPHgwf//99xPLb968mQ0bNrBx40Y+++wzmjdvTp06dXB3d2f//v106NBBKRsSEoKdnR26urrY2tqyYsUK5dilS5dQqVRs3rwZV1dXdHV1Wb9+PdnZ2YwZM4aKFStiamrKpEmTGDp0qEai7urqypgxY5g4cSJvvfUW1apVK7C6W3p6Oh9//DFVq1bF2NiYt99+m99//105XlgPvq+vr7JC4l9//UW1atUICgpSjh87dowKFSqwZ8+eZ7jDkJubW2SsixYtolGjRhgYGGBhYcGoUaOUpcPh0SI2FStWZMeOHdjY2KCvr8/777/P3bt3CQsLo06dOlSqVInRo0drLB2elZXFxIkTqVGjBgYGBrRs2ZKoqCjl+M2bNxkwYAA1a9ZEX1+fRo0asXHjRo3Y6tSpw+LFizX2NWnSRFbTKwOcnZ3Zt28f586dA+D333/n0KFDdO3atYQjE0IIUZpIUg2kpKTg4uJCkyZNiI6OJiIighs3btCvX78n1tmwYQM2Nja4u7sXOKZSqTAxMQFg9erVTJkyhTlz5pCQkEBQUBDTpk0jLCxMo86kSZMYM2YMCQkJuLm5MX/+fDZs2EBISAiHDx8mIyODbdu2FbhWWFgYBgYGHDt2jAULFjBz5kz27t0LPBqe0q1bN1JTU9m1axcxMTE0bdqUd955h1u3bhXr3lSpUoU1a9YQEBBAdHQ0d+7cYdCgQYwaNYp33323WOcoTqwAWlpaLF26lD/++IOwsDD279/PxIkTNc5x7949li5dSnh4OBEREURFRdG7d2927drFrl27WLduHf/73//4/vvvlTrDhg3j8OHDhIeHc/r0afr27Uvnzp1JSkoC4MGDBzRr1owdO3bwxx9/8PHHHzN48GCOHTv2TO3LLzMzk4yMDI2XeP1MmjSJAQMGYGtrS/ny5XF0dMTX15cBAwaUdGhCCCFKERn+AaxcuZKmTZtq9MauWbMGCwsLzp07h7W1dYE6SUlJ2NjYPPXcs2bN4osvvqB3794A1K1bl/j4eFatWsXQoUOVcr6+vkoZgGXLluHv70+vXr0AWL58Obt27SpwfgcHB2bMmAFA/fr1Wb58Ofv27aNTp05ERkYSFxdHWloaOjo6ACxcuJBt27bx/fff8/HHHxfn9tC1a1eGDx+Oh4cHzZs3R1dXl3nz5hWrbnFjzbsHeerWrcusWbP45JNPNHr2Hz58yMqVK6lXrx4A77//PuvWrePGjRsYGhrSoEEDOnToQGRkJB988AHJycls3LiRa9euUb16dQD8/PyIiIggJCSEoKAgatSogZ+fn3KN0aNHExERwXfffUfLli2fuZ155s6dS2Bg4HPXF6/Gpk2bWL9+Pd9++y0NGzYkNjYWX19fqlevrvFvVAghhCiKJNVATEwMkZGRGBoaFjiWnJxcaFKtVqtRqVRFnvevv/7i6tWrfPjhhwwfPlzZn52drfRk53FyclJ+Tk9P58aNG7Ro0ULZp62tTbNmzQrMSODg4KCxbW5uTlpamtKuO3fuYGpqqlHm/v37JCcnFxl7fgsXLsTe3p7NmzcTHR2Nrq7uM9V/WqwAkZGRBAUFER8fT0ZGBtnZ2Tx48IC7d+9iYGAAgL6+vpJQA5iZmVGnTh2N987MzEw578mTJ1Gr1QXew8zMTOW+5OTkMG/ePDZt2sT169fJzMwkMzNTuebz8vf3Z/z48cp2RkYGFhYWL3RO8fJ9+umnTJ48mf79+wPQqFEjLl++zNy5cyWpFkIIUWySVPNorG/37t2ZP39+gWPm5uaF1rG2tiYhIeGp54VHQ0Dy93hqa2trbBeWwOVP2tVqdYEy+R9oVKlUynVzc3MxNzfXGD+cp2LFisCjIRf5z/vw4cMC5S9cuMCff/5Jbm4uly9fLpAgF0dRsV6+fJmuXbsycuRIZs2axVtvvcWhQ4f48MMPNeIp7BxPuwfa2trExMQUuOd5ifgXX3zBl19+yeLFi5Ux3b6+vmRlZSlli3ufHqejo6N8QyBeX/fu3UNLS3MknLa2tkypJ4QQ4plIUg00bdqUH374gTp16lCuXPFuycCBA+nfvz8//vhjgXHVarWajIwMzMzMqFGjBhcuXMDDw6PY8ZiYmGBmZsbx48dp164d8Kg39dSpUzRp0uSZ2pWamkq5cuWoU6dOoWWqVKnCH3/8obEvNjZWI1HNysrCw8ODDz74AFtbWz788EPi4uIwMzMrdixPEx0dTXZ2Nl988YWS4GzevPmFz+vo6EhOTg5paWnKvczv119/xd3dnUGDBgGPEvGkpCTs7OyUMlWqVCElJUXZzsjI4OLFiy8cnyh53bt3Z86cOdSqVYuGDRty6tQpFi1ahJeXV0mHJoQQohR5ox5UTE9PJzY2VuN15coVvL29uXXrFgMGDOD48eNcuHCBPXv24OXlpTGLxOP69evHBx98wIABA5g7dy7R0dFcvnyZHTt20LFjRyIjIwEICAhg7ty5LFmyhHPnzhEXF0dISAiLFi0qMtbRo0czd+5cfvzxRxITExk7diz//PPPU4ecPK5jx460bt2anj17snv3bi5dusSRI0eYOnWqMl3Y22+/TXR0NGvXriUpKYkZM2YUSLKnTJlCeno6S5cuZeLEidjZ2fHhhx8WO47iqFevHtnZ2SxbtowLFy6wbt06goODX/i81tbWeHh4MGTIELZs2cLFixc5ceIE8+fPV8aoW1lZsXfvXo4cOUJCQgIjRowgNTVV4zxvv/0269at49dff+WPP/5g6NChBXq+Rem0bNky3n//fUaNGoWdnR1+fn6MGDGCWbNmlXRoQgghSpE3KqmOiorC0dFR4zV9+nSqV6/O4cOHycnJwc3NDXt7e8aOHYuJiUmBr4XzqFQqvv32WxYtWsTWrVtxcXHBwcGBgIAA3N3dcXNzA+Cjjz7i66+/JjQ0lEaNGuHi4kJoaCh169YtMta8GQmGDBlC69atMTQ0xM3N7ZnGMqtUKnbt2kX79u3x8vLC2tqa/v37c+nSJaWX2c3NjWnTpjFx4kSaN2/O7du3GTJkiMY9W7x4MevWrcPY2BgtLS3WrVvHoUOHWLlyJfB/0wIWNsykuJo0acKiRYuYP38+9vb2bNiwgblz5z73+R4XEhLCkCFDmDBhAjY2NvTo0YNjx44p45unTZtG06ZNcXNzw9XVlWrVqhWYZtDf35/27dvz3nvv0bVrV3r27KkxtluUXkZGRixevJjLly8rzxvMnj2bChUqlHRoQgghShGVurCBuuK1k5ubi52dHf369XvtetCioqLo1asXFy5coFKlSiUdzmsrIyMDExMTLHw3o6WjX9LhvPEuzetW0iEIIYQoBfL+fqenp2NsbPzEcjKm+jV1+fJl9uzZg4uLC5mZmSxfvpyLFy8ycODAkg6tgIiICD777DNJqIvpj0C3Iv9RCiGEEKL0kaT6NaWlpUVoaCh+fn6o1Wrs7e355ZdfNB6ee108z5zVQgghhBBliSTVrykLCwsOHz5c0mEIIYQQQohikKRaiFfMfsZuGVP9GpAx1UIIIV6mN2r2DyGEEEIIIf4LpSqprlOnDosXLy7pMEqcq6srvr6+JR3GS6NSqdi2bVtJhyHeUNnZ2UydOpW6deuip6eHpaUlM2fOlBUVhRBCPJNnSqo9PT1RqVSMHDmywLFRo0ahUqnw9PR84aBCQ0OVZbQfd+LECT7++OMXPv/LkJWVxYIFC2jcuDH6+vpUrlyZtm3bEhIS8tTlq8XLl5aWxogRI6hVqxY6OjpUq1YNNzc3fvvtt5IOTbzm5s+fT3BwMMuXLychIYEFCxbw+eefs2zZspIOTQghRCnyzGOqLSwsCA8P58svv0RPTw+ABw8esHHjRmrVqvXCARWVkFapUuWFz/8yZGVl4ebmxu+//86sWbNo27YtxsbGHD16lIULF+Lo6PhMy4m/KbKysv6zBTX69OnDw4cPCQsLw9LSkhs3brBv3z5u3br1n1xPlB2//fYb7u7udOv2aIx1nTp12Lhxo7LqqBBCCFEczzz8o2nTptSqVYstW7Yo+7Zs2YKFhQWOjo4aZSMiInB2dqZixYqYmpry3nvvkZycrBzPW4lv8+bNuLq6oqury/r16xk2bBjp6emoVCpUKhUBAQFAweEfZ8+exdnZGV1dXRo0aMAvv/yiMZQg7/xbtmyhQ4cO6Ovr07hxY6X38u7duxgbG/P9999rxP3TTz9hYGDA7du3C70Hixcv5uDBg+zbtw9vb2+aNGmCpaUlAwcO5NixY9SvXx+AzMxMxowZQ9WqVdHV1cXZ2ZkTJ04o54mKikKlUrF7924cHR3R09Pj7bffJi0tjZ9//hk7OzuMjY0ZMGAA9+7d04ghOzsbHx8f5d5OnTqVx9fxycrKYuLEidSoUQMDAwNatmz5zCseRkVF0aJFCwwMDKhYsSJt27bl8uXLwKNvLfKvOujr64urq6uy7erqio+PD+PHj6dy5cp06tSpWNe9fv06H3zwAZUqVcLU1BR3d3cuXbr0xPL//vsvhw4dYv78+XTo0IHatWvTokUL/P39lUQpr9zHH3+MmZkZurq62Nvbs2PHDuX4kSNHaN++PXp6elhYWDBmzBju3r0LwNq1azE0NCQpKUkpP3r0aKytrZUyonRydnZm3759nDt3DoDff/+dQ4cO0bVr1xKOTAghRGnyXGOqhw0bRkhIiLK9Zs0avLy8CpS7e/cu48eP58SJE+zbtw8tLS169epVYKzipEmTGDNmDAkJCbzzzjssXrwYY2NjUlJSSElJwc/Pr8C5c3Nz6dmzJ/r6+hw7doz//e9/TJkypdB4p0yZgp+fH7GxsVhbWzNgwACys7MxMDCgf//+Gm2BR8tav//++xgZGRV6vg0bNtCxY8cCHyIAypcvj4GBAQATJ07khx9+ICwsjJMnT2JlZYWbm1uB3tOAgACWL1/OkSNHuHr1Kv369WPx4sV8++237Ny5k7179xb4KjosLIxy5cpx7Ngxli5dypdffsnXX3+tHB82bBiHDx8mPDyc06dP07dvXzp37qyRFBYlOzubnj174uLiwunTp/ntt9/4+OOPUalUxaqfP87Dhw+zatWqp5a/d+8eHTp0wNDQkIMHD3Lo0CEMDQ3p3LkzWVlZhdYxNDTE0NCQbdu2kZmZWWiZ3NxcunTpwpEjR1i/fj3x8fHMmzcPbW1tAOLi4nBzc6N3796cPn2aTZs2cejQIXx8fAAYMmQIXbt2xcPDg+zsbCIiIli1ahUbNmxQ3u/8MjMzycjI0HiJ18+kSZMYMGAAtra2lC9fHkdHR3x9fRkwYEBJhyaEEKIUea4p9QYPHoy/v7/SE5yXvOXvCe3Tp4/G9jfffEPVqlWJj4/H3t5e2e/r60vv3r2VbRMTE1QqFdWqVXtiDHv27CE5OZmoqCil3Jw5cwrtDfXz81N6LAMDA2nYsCHnz5/H1taWjz76iDZt2vDnn39SvXp1/v77b3bs2MHevXufeO2kpCSNHtnC3L17l5UrVxIaGkqXLl0AWL16NXv37uWbb77h008/VcrOnj2btm3bAvDhhx/i7+9PcnIylpaWALz//vtERkYyadIkpY6FhQVffvklKpUKGxsb4uLi+PLLLxk+fDjJycls3LiRa9euUb16deUeREREEBISQlBQUJGxw6MlOdPT03nvvfeoV68ewHMtPGNlZcWCBQuKXT48PBwtLS2+/vprJYEPCQmhYsWKREVF8e677xaoU65cOUJDQxk+fDjBwcE0bdoUFxcX+vfvj4ODAwC//PILx48fJyEhAWtrawDl/gJ8/vnnDBw4UHkAtH79+ixduhQXFxdWrlyJrq4uq1atwsHBgTFjxrBlyxZmzJhB8+bNn9iWuXPnEhgYWOy2i5KxadMm1q9fz7fffkvDhg2JjY3F19eX6tWrM3To0JIOTwghRCnxXD3VlStXplu3boSFhRESEkK3bt2oXLlygXLJyckMHDgQS0tLjI2NqVu3LgBXrlzRKOfk5PTMMSQmJmJhYaGReLdo0aLQsnmJFYC5uTnw6MG2vDoNGzZk7dq1AKxbt45atWrRvn174P96QQ0NDZUHNNVq9VN7bJOTk3n48KGSLMOjXuwWLVqQkJDwxPjMzMzQ19fXSPjMzMyUePO0atVKI4bWrVuTlJRETk4OJ0+eRK1WY21trRH/gQMHNIbfFOWtt97C09MTNzc3unfvzpIlS0hJSSlW3cc9/t4GBQVpxJP/9wAgJiaG8+fPY2RkpJR76623ePDgAcnJyfz6668a59iwYQPw6APcn3/+yfbt23FzcyMqKoqmTZsSGhoKQGxsLDVr1lQS6sKuGxoaqnFuNzc3cnNzuXjxIgCVKlXim2++YeXKldSrV4/JkycX2XZ/f3/S09OV19WrV5/5/on/3qeffsrkyZPp378/jRo1YvDgwYwbN465c+eWdGhCCCFKkede/MXLy0v5avyrr74qtEz37t2xsLBg9erVVK9endzcXOzt7Qt8jf+kr8+LUpzENk/58uWVn/PqPD4E5aOPPmL58uVMnjyZkJAQhg0bppSLjY1VyhkbGwNgbW1dIDEuLL7Hr1dU3Pnje3w7b9+zTO+Vm5uLtrY2MTExyvCGPIaGhsU+T0hICGPGjCEiIoJNmzYxdepU9u7dS6tWrdDS0tIYww2FP2T6+Hs7cuRI+vXrp2zn9aLnj71Zs2ZKsvy4KlWqUKFCBY33xMzMTPlZV1eXTp060alTJ6ZPn85HH33EjBkz8PT0VB6qfZLc3FxGjBjBmDFjChx7/AHcgwcPoq2tzZ9//qmMyX8SHR0ddHR0iryuKHn37t1DS0uzf0FbW1um1BNCCPFMnnue6rwxrnkzYeR38+ZNEhISmDp1Ku+88w52dnb8888/xTp3hQoVyMnJKbKMra0tV65c4caNG8q+xx8CfBaDBg3iypUrLF26lDNnzmh85WtlZaW8qlatCsDAgQP55ZdfOHXqVIFzZWdnc/fuXaysrKhQoQKHDh1Sjj18+JDo6OjnGkaR39GjRwts169fH21tbRwdHcnJySEtLU0jfisrqyKH1BTG0dERf39/jhw5gr29Pd9++y3wKMHN33P9eLJbmLfeeksjlnLlCn6ma9q0KUlJSVStWrVA7CYmJujp6Wnse9K4d4AGDRooDxE6ODhw7do15WG0wq575syZAtfMex/h0YOMCxYs4KeffsLY2JjRo0cX2V5ROnTv3p05c+awc+dOLl26xNatW1m0aBG9evUq6dCEEEKUIs+dVGtra5OQkEBCQkKB3lBAmbnhf//7H+fPn2f//v2MHz++WOeuU6cOd+7cYd++ffz9998FZr4A6NSpE/Xq1WPo0KGcPn2aw4cPKw8qPuvDdJUqVaJ37958+umnvPvuu9SsWbPI8r6+vrRt25Z33nmHr776it9//50LFy6wefNmWrZsSVJSEgYGBnzyySd8+umnREREEB8fz/Dhw7l37x4ffvjhM8VXmKtXrzJ+/HgSExPZuHEjy5YtY+zYscCjnnQPDw+GDBnCli1buHjxIidOnGD+/Pns2rWrWOe/ePEi/v7+/Pbbb1y+fJk9e/Zw7tw55QPB22+/TXR0NGvXriUpKYkZM2bwxx9/vHC7PDw8qFy5Mu7u7vz6669cvHiRAwcOMHbsWK5du1ZonZs3b/L222+zfv16Tp8+zcWLF/nuu+9YsGAB7u7uALi4uNC+fXv69OnD3r17uXjxIj///DMRERHAo4fVfvvtN7y9vYmNjSUpKYnt27crifPt27cZPHgwo0ePpkuXLnz77bds3ryZ77777oXbLErWsmXLeP/99xk1ahR2dnb4+fkxYsQIZs2aVdKhCSGEKEVeaEVFY2PjJ379raWlRXh4ODExMdjb2zNu3Dg+//zzYp23TZs2jBw5kg8++IAqVaoU+qCbtrY227Zt486dOzRv3pyPPvqIqVOnAo+GATyrDz/8kKysrEJnMclPR0eHvXv3MnHiRFatWkWrVq1o3rw5S5cuZcyYMcpDmPPmzaNPnz4MHjyYpk2bcv78eXbv3k2lSpWeOb78hgwZwv3792nRogXe3t6MHj1aY2GckJAQhgwZwoQJE7CxsaFHjx4cO3YMCwsLpYxKpVLGHOenr6/P2bNn6dOnD9bW1nz88cf4+PgwYsQIANzc3Jg2bRoTJ06kefPm3L59myFDhrxwu/T19Tl48CC1atWid+/e2NnZ4eXlxf3795/4u2ZoaEjLli358ssvad++Pfb29kybNo3hw4ezfPlypdwPP/xA8+bNGTBgAA0aNGDixInKNyIODg4cOHCApKQk2rVrh6OjI9OmTVPG4I8dOxYDAwPlIc+GDRsyf/58Ro4cyfXr11+43aLkGBkZsXjxYi5fvsz9+/dJTk5m9uzZ/9mc6kIIIcomlTr/wNhS7PDhwzg7O3P+/Hllxori2rBhA2PHjuXPP/98I/6YXrp0ifr16xMfH6/Mqy3+WxkZGZiYmGDhuxktHf2SDueNd2let6cXEkII8cbL+/udnp5e5LNUz/2g4utg69atGBoaUr9+fc6fP8/YsWNp27btMyXU9+7d4+LFi8ydO5cRI0a8EQk1PFqY5+OPP5aEugT8EehW5D9KIYQQQpQ+pTqpvn37NhMnTuTq1atUrlyZjh078sUXXzzTORYsWMCcOXNo3749/v7+/1Gkr5+86QGFEEIIIcSLK1PDP4R4nRX36yMhhBBCvD6K+/f7hR5UFEIIIYQQQkhSLYQQQgghxAuTpFoIIYQQQogXJEm1EEIIIYQQL0iSaiGEEEIIIV6QJNVCCCGEEEK8IEmqhRBCCCGEeEGSVAshhBBCCPGCJKkWQgghhBDiBUlSLYQQQgghxAuSpFoIIYQQQogXJEm1EEIIIYQQL0iSaiGEEEIIIV5QuZIOQIg3hVqtBiAjI6OEIxFCCCFEceX93c77O/4kklQL8YrcvHkTAAsLixKORAghhBDP6vbt25iYmDzxuCTVQrwib731FgBXrlwp8h9laZWRkYGFhQVXr17F2Ni4pMP5T5T1Npb19kHZb2NZbx+U/TaW9fZB6WujWq3m9u3bVK9evchyklQL8YpoaT16hMHExKRU/E/keRkbG5fp9kHZb2NZbx+U/TaW9fZB+494OwAAFgZJREFU2W9jWW8flK42FqczTB5UFEIIIYQQ4gVJUi2EEEIIIcQLkqRaiFdER0eHGTNmoKOjU9Kh/CfKevug7LexrLcPyn4by3r7oOy3say3D8puG1Xqp80PIoQQQgghhCiS9FQLIYQQQgjxgiSpFkIIIYQQ4gVJUi2EEEIIIcQLkqRaCCGEEEKIFyRJtRCvwIoVK6hbty66uro0a9aMX3/9taRDem4HDx6ke/fuVK9eHZVKxbZt2zSOq9VqAgICqF69Onp6eri6unLmzJmSCfY5zJ07l+bNm2NkZETVqlXp2bMniYmJGmVKcxtXrlyJg4ODsuhC69at+fnnn5XjpbltTzJ37lxUKhW+vr7KvtLezoCAAFQqlcarWrVqyvHS3j6A69evM2jQIExNTdHX16dJkybExMQox0t7G+vUqVPgPVSpVHh7ewOlv33Z2dlMnTqVunXroqenh6WlJTNnziQ3N1cpU9rbWIBaCPGfCg8PV5cvX169evVqdXx8vHrs2LFqAwMD9eXLl0s6tOeya9cu9ZQpU9Q//PCDGlBv3bpV4/i8efPURkZG6h9++EEdFxen/uCDD9Tm5ubqjIyMkgn4Gbm5ualDQkLUf/zxhzo2NlbdrVs3da1atdR37txRypTmNm7fvl29c+dOdWJiojoxMVH92WefqcuXL6/+448/1Gp16W5bYY4fP66uU6eO2sHBQT127Fhlf2lv54wZM9QNGzZUp6SkKK+0tDTleGlv361bt9S1a9dWe3p6qo8dO6a+ePGi+pdfflGfP39eKVPa25iWlqbx/u3du1cNqCMjI9Vqdelv3+zZs9WmpqbqHTt2qC9evKj+7rvv1IaGhurFixcrZUp7G/OTpFqI/1iLFi3UI0eO1Nhna2urnjx5cglF9PLkT6pzc3PV1apVU8+bN0/Z9+DBA7WJiYk6ODi4BCJ8cWlpaWpAfeDAAbVaXTbbWKlSJfXXX39d5tp2+/Ztdf369dV79+5Vu7i4KEl1WWjnjBkz1I0bNy70WFlo36RJk9TOzs5PPF4W2pjf2LFj1fXq1VPn5uaWifZ169ZN7eXlpbGvd+/e6kGDBqnV6rL5HsrwDyH+Q1lZWcTExPDuu+9q7H/33Xc5cuRICUX137l48SKpqaka7dXR0cHFxaXUtjc9PR2At956CyhbbczJySE8PJy7d+/SunXrMtU2AG9vb7p160bHjh019peVdiYlJVG9enXq1q1L//79uXDhAlA22rd9+3acnJzo27cvVatWxdHRkdWrVyvHy0IbH5eVlcX69evx8vJCpVKVifY5Ozuzb98+zp07B8Dvv//OoUOH6Nq1K1D23kOAciUdgBBl2d9//01OTg5mZmYa+83MzEhNTS2hqP47eW0qrL2XL18uiZBeiFqtZvz48Tg7O2Nvbw+UjTbGxcXRunVrHjx4gKGhIVu3bqVBgwbKH7LS3LY84eHhnDx5khMnThQ4Vhbew5YtW7J27Vqsra25ceMGs2fPpk2bNpw5c6ZMtO/ChQusXLmS8ePH89lnn3H8+HHGjBmDjo4OQ4YMKRNtfNy2bdv4999/8fT0BMrG7+ikSZNIT0/H1tYWbW1tcnJymDNnDgMGDADKRhvzk6RaiFdApVJpbKvV6gL7ypKy0l4fHx9Onz7NoUOHChwrzW20sbEhNjaWf//9lx9++IGhQ4dy4MAB5XhpbhvA1atXGTt2LHv27EFXV/eJ5UpzO7t06aL83KhRI1q3bk29evUICwujVatWQOluX25uLk5OTgQFBQHg6OjImTNnWLlyJUOGDFHKleY2Pu6bb76hS5cuVK9eXWN/aW7fpk2bWL9+Pd9++y0NGzYkNjYWX19fqlevztChQ5VypbmN/6+9ew+Ksvr/AP5ebssdlYssAgtIXkhAEVPkK6ZoGJCQDYKxXER0DK9MUoApeEUzRJ0sLwPLJUeHFEUURVQkGtAMMUgcNYR0DIK0RIZbLOf3h8Pz82FByFVp6fOaYYbnnLPn+XyeBefD4XDsjrZ/EPIKGRkZQVVVVW5Vur6+Xu6n88Gg6/SBwZDvihUrcPLkSRQUFMDc3JxrHww5amhowNbWFs7OzkhISICjoyN27949KHIDgNLSUtTX12PixIlQU1ODmpoaCgsLsWfPHqipqXG5KHuez9LR0YG9vT3u3LkzKN5HkUgEOzs7XtvYsWNx7949AIPj+7DLr7/+ivPnzyM8PJxrGwz5RUVFITo6GgEBAbC3t0dQUBAiIyORkJAAYHDk2B0V1YS8QhoaGpg4cSLy8/N57fn5+Zg6deoARfXqWFtbw9TUlJdve3s7CgsLlSZfxhiWL1+OrKwsXLx4EdbW1rz+wZBjd4wxtLW1DZrc3N3dUVFRgevXr3Mfzs7OCAwMxPXr12FjYzMo8nxWW1sbbt68CZFINCjeR1dXV7mjLG/fvg2xWAxgcH0fSqVSmJiYwMvLi2sbDPk1NzdDRYVfZqqqqnJH6g2GHOUMzN9HEvLf0XWkXnJyMqusrGSrV69mOjo6rKamZqBDeyFPnjxhZWVlrKysjAFgO3fuZGVlZdwRgdu2bWMGBgYsKyuLVVRUsAULFijVEUkfffQRMzAwYJcuXeIdd9Xc3MyNUeYcY2Ji2Hfffceqq6tZeXk5i42NZSoqKuzcuXOMMeXO7XmePf2DMeXP8+OPP2aXLl1id+/eZZcvX2be3t5MT0+P+3dF2fP74YcfmJqaGtuyZQu7c+cOO3ToENPW1mbffPMNN0bZc2SMMZlMxiwtLdmnn34q16fs+YWEhLARI0ZwR+plZWUxIyMj9sknn3BjlD3H7qioJuQ12Lt3LxOLxUxDQ4M5OTlxx7Mpo4KCAgZA7iMkJIQx9vSYpLi4OGZqasqEQiFzc3NjFRUVAxv0P9BTbgCYVCrlxihzjmFhYdzXorGxMXN3d+cKasaUO7fn6V5UK3ueXef5qqurMzMzMzZv3jx248YNrl/Z82OMsZycHDZu3DgmFArZmDFj2IEDB3j9gyHHvLw8BoDdunVLrk/Z82tsbGSrVq1ilpaWTFNTk9nY2LC1a9eytrY2boyy59idgDHGBmSJnBBCCCGEkEGC9lQTQgghhBCiICqqCSGEEEIIURAV1YQQQgghhCiIimpCCCGEEEIUREU1IYQQQgghCqKimhBCCCGEEAVRUU0IIYQQQoiCqKgmhBCiVN5++22sXr36pc4pEAhw4sSJlzpnb+Lj4zF+/PjXcq+goCBs3bpVoTlSU1MxZMiQlxPQKzZp0iRkZWUNdBjkP4qKakIIUUKhoaEQCARYunSpXF9ERAQEAgFCQ0Nff2C9aGlpwdChQzFs2DC0tLQoNFdWVhY2bdr0kiLrn67nLRAIoK6ujuHDh2P27NlISUlBZ2fna42lv8rLy3H69GmsWLFCoXn8/f1x+/btlxTV/3sVP8isW7cO0dHR/9r3hAxuVFQTQoiSsrCwwJEjR3hFamtrKw4fPgxLS8sBjEzesWPHMG7cONjZ2fVrJfHvv//utW3YsGHQ09N76TH2Zc6cOaitrUVNTQ3OnDmDGTNmYNWqVfD29kZHR8drj6cvX375Jfz8/BR+VlpaWjAxMXlJUb1aXl5eePz4MfLy8gY6FPIfREU1IYQoKScnJ1haWvKK1KysLFhYWGDChAm8sYwxfP7557CxsYGWlhYcHR1x9OhRrl8mk2HRokWwtraGlpYWRo8ejd27d/PmCA0Nha+vL7744guIRCIYGhpi2bJlPRbA3SUnJ0MikUAikSA5OVmuXyAQYN++ffDx8YGOjg42b97MbZNISUmBjY0NhEIhGGO87R8xMTGYMmWK3HwODg6Ii4sDAFy9ehWzZ8+GkZERDAwMMH36dFy7dq3PmLsTCoUwNTXFiBEj4OTkhNjYWGRnZ+PMmTNITU3lxj1+/BhLliyBiYkJ9PX1MXPmTPz000+9zttXfGFhYfD29ua9pqOjA6ampkhJSelxzs7OTnz77beYO3cur93KygqbN29GcHAwdHV1IRaLkZ2djYaGBvj4+EBXVxf29vb48ccfudd03/7R9b5kZGTAysoKBgYGCAgIwJMnT3j32bVrF+/e48ePR3x8PNcPAO+//z4EAgF3DQA5OTmYOHEiNDU1YWNjgw0bNvB+aImPj4elpSWEQiHMzMywcuVKrk9VVRWenp44fPhwj8+FkFeJimpCCFFiCxcuhFQq5a5TUlIQFhYmN+6zzz6DVCrF119/jRs3biAyMhISiQSFhYUAnhZh5ubmyMzMRGVlJdavX4/Y2FhkZmby5ikoKEBVVRUKCgqQlpaG1NRUXkHZk6qqKpSUlGD+/PmYP38+iouLcffuXblxcXFx8PHxQUVFBZfDL7/8gszMTBw7dgzXr1+Xe01gYCCuXLmCqqoqru3GjRuoqKhAYGAgAODJkycICQlBUVERLl++jDfeeAOenp68IvBFzZw5E46OjtwPNowxeHl5oa6uDrm5uSgtLYWTkxPc3d3x6NGjHufoK77w8HCcPXsWtbW13Gtyc3PR1NSE+fPn9zhneXk5/vrrLzg7O8v1JSUlwdXVFWVlZfDy8kJQUBCCg4MhkUhw7do12NraIjg4GIyxXvOuqqrCiRMncOrUKZw6dQqFhYXYtm1bv5/b1atXAQBSqRS1tbXcdV5eHiQSCVauXInKykrs378fqamp2LJlCwDg6NGjSEpKwv79+3Hnzh2cOHEC9vb2vLnfeustFBUV9TsWQl4aRgghROmEhIQwHx8f1tDQwIRCIauurmY1NTVMU1OTNTQ0MB8fHxYSEsIYY6ypqYlpamqy4uJi3hyLFi1iCxYs6PUeERER7IMPPuDdUywWs46ODq7Nz8+P+fv7PzfW2NhY5uvry137+PiwtWvX8sYAYKtXr+a1xcXFMXV1dVZfX89rnz59Olu1ahV37eDgwDZu3Mhdx8TEsEmTJvUaT0dHB9PT02M5OTm8+x8/frzX13Q97574+/uzsWPHMsYYu3DhAtPX12etra28MSNHjmT79+/n8nJ0dPxH8dnZ2bHt27dz176+viw0NLTXOY4fP85UVVVZZ2cnr10sFjOJRMJd19bWMgBs3bp1XFtJSQkDwGpraxljjEmlUmZgYMD1x8XFMW1tbdbY2Mi1RUVFscmTJ/Puk5SUxLu3o6Mji4uL4657eubTpk1jW7du5bVlZGQwkUjEGGMsMTGRjRo1irW3t/eae3Z2NlNRUWEymazXMYS8CrRSTQghSszIyAheXl5IS0uDVCqFl5cXjIyMeGMqKyvR2tqK2bNnQ1dXl/tIT0/nrfDu27cPzs7OMDY2hq6uLg4ePIh79+7x5nrzzTehqqrKXYtEItTX1/can0wmQ1paGiQSCdcmkUiQlpYGmUzGG9vTqqpYLIaxsfFzn0FgYCAOHToE4OlK8eHDh7lVagCor6/H0qVLMWrUKBgYGMDAwABNTU1yub0oxhgEAgEAoLS0FE1NTTA0NOQ96+rqat6zflZ/4gsPD+d+I1FfX4/Tp0/3+BuJLi0tLRAKhVxcz3JwcOA+Hz58OADwVnu72p73vlpZWfH2avf1ddBfpaWl2LhxI+/ZLV68GLW1tWhuboafnx9aWlpgY2ODxYsX4/jx43L72bW0tNDZ2Ym2tjaF4yHkn1Ab6AAIIYQoJiwsDMuXLwcA7N27V66/6ySE06dPY8SIEbw+oVAIAMjMzERkZCQSExPh4uICPT097NixA1euXOGNV1dX510LBILnnrSQl5eHBw8ewN/fn9cuk8lw7tw5vPvuu1ybjo6O3Ot7auvuww8/RHR0NK5du4aWlhbcv38fAQEBXH9oaCgaGhqwa9cuiMViCIVCuLi4oL29vc+5++PmzZuwtrYG8PRZi0QiXLp0SW5cb8fS9Se+4OBgREdHo6SkBCUlJbCyssK0adN6jcnIyAjNzc1ob2+HhoYGr+/Z97Cr6O6p7Xnva19fByoqKnLbR/qz976zsxMbNmzAvHnz5Po0NTVhYWGBW7duIT8/H+fPn0dERAR27NiBwsJCLqZHjx5BW1sbWlpafd6PkJeJimpCCFFyc+bM4QowDw8PuX47OzsIhULcu3cP06dP73GOoqIiTJ06FREREVxbbyur/0RycjICAgKwdu1aXvu2bduQnJzMK6pflLm5Odzc3HDo0CG0tLRg1qxZ3Gor8DS3r776Cp6engCA+/fv448//lD4vgBw8eJFVFRUIDIyEsDTPx6tq6uDmpoa74/vnqc/8RkaGsLX1xdSqRQlJSVYuHDhc+fsOge7srLytZ2J/SxjY2PeHvDGxkZUV1fzxqirq8v9tsLJyQm3bt2Cra1tr3NraWlh7ty5mDt3LpYtW4YxY8agoqICTk5OAICff/6Z+5yQ14mKakIIUXKqqqq4efMm93l3enp6WLNmDSIjI9HZ2Yn//e9/aGxsRHFxMXR1dRESEgJbW1ukp6cjLy8P1tbWyMjIwNWrV7kV2BfR0NCAnJwcnDx5EuPGjeP1hYSEwMvLCw0NDX1u7+iPwMBAxMfHo729HUlJSbw+W1tbZGRkwNnZGY2NjYiKinqhVcy2tjbU1dVBJpPh999/x9mzZ5GQkABvb28EBwcDAGbNmgUXFxf4+vpi+/btGD16NH777Tfk5ubC19e3xy0u/Y0vPDwc3t7ekMlkCAkJeW6sxsbGcHJywvfffz8gRfXMmTORmpqK9957D0OHDsW6devkvjatrKxw4cIFuLq6QigUYujQoVi/fj28vb1hYWEBPz8/qKiooLy8HBUVFdi8eTNSU1Mhk8kwefJkaGtrIyMjA1paWhCLxdy8RUVFeOedd153yoTQ6R+EEDIY6OvrQ19fv9f+TZs2Yf369UhISMDYsWPh4eGBnJwcrmheunQp5s2bB39/f0yePBkPHz7krVq/iPT0dOjo6MDd3V2ub8aMGdDT00NGRoZC9+ji5+eHhw8form5Gb6+vry+lJQU/Pnnn5gwYQKCgoKwcuXKFzp3+ezZsxCJRLCyssKcOXNQUFCAPXv2IDs7mysYBQIBcnNz4ebmhrCwMIwaNQoBAQGoqanhrZ6/SHyzZs2CSCSCh4cHzMzM+ox3yZIl3F7z1y0mJgZubm7w9vaGp6cnfH19MXLkSN6YxMRE5Ofn846A9PDwwKlTp5Cfn49JkyZhypQp2LlzJ1c0DxkyBAcPHoSrqyscHBxw4cIF5OTkwNDQEADw4MEDFBcX97mST8irIGDdNz0RQggh5F+nubkZZmZmSElJ6XHPcXetra0YPXo0jhw5AhcXl9cQ4cCLiorC48ePceDAgYEOhfwH0fYPQggh5F+ss7MTdXV1SExMhIGBgdx/6NIbTU1NpKenv7T948rAxMQEa9asGegwyH8UrVQTQggh/2I1NTWwtraGubk5UlNTe9xOQwgZeFRUE0IIIYQQoiD6Q0VCCCGEEEIUREU1IYQQQgghCqKimhBCCCGEEAVRUU0IIYQQQoiCqKgmhBBCCCFEQVRUE0IIIYQQoiAqqgkhhBBCCFEQFdWEEEIIIYQoiIpqQgghhBBCFPR/MbnfHBppRa4AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Group the data by stop_name, calculate the mean arrival and departure delay, and count the entries for each stop\n",
    "stop_delays = transport_data.groupby('stop_name').agg({'arrival_delay': 'mean', 'departure_delay': 'mean', 'stop_id': 'count'})\n",
    "stop_delays.rename(columns={'stop_id': 'count'}, inplace=True)\n",
    "\n",
    "# Sort the data by the mean arrival delay in descending order\n",
    "sorted_stops = stop_delays.sort_values('arrival_delay', ascending=False)\n",
    "\n",
    "# Plot the top 20 stops by mean arrival delay\n",
    "bars = plt.barh(sorted_stops.index[:20], sorted_stops['arrival_delay'][:20], align='center')\n",
    "plt.gca().invert_yaxis()\n",
    "plt.xlabel('Mean Arrival Delay (minutes)')\n",
    "plt.title('Top 20 Stops by Mean Arrival Delay')\n",
    "\n",
    "# Annotate bars with entry counts\n",
    "for i, bar in enumerate(bars):\n",
    "    plt.gca().text(bar.get_width() + 0.1, bar.get_y() + 0.65, f'{int(sorted_stops.iloc[i][\"count\"])}', fontsize=10)\n",
    "\n",
    "plt.show()\n",
    "\n",
    "# Sort the data by the mean departure delay in descending order\n",
    "sorted_stops = stop_delays.sort_values('departure_delay', ascending=False)\n",
    "\n",
    "# Plot the top 20 stops by mean departure delay\n",
    "bars = plt.barh(sorted_stops.index[:20], sorted_stops['departure_delay'][:20], align='center')\n",
    "plt.gca().invert_yaxis()\n",
    "plt.xlabel('Mean Departure delay (minutes)')\n",
    "plt.title('Top 20 Stops by Mean Departure Delay')\n",
    "\n",
    "# Annotate bars with entry counts\n",
    "for i, bar in enumerate(bars):\n",
    "    plt.gca().text(bar.get_width() + 0.1, bar.get_y() + 0.65, f'{int(sorted_stops.iloc[i][\"count\"])}', fontsize=10)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "These graphs show the mean delay for each stop, with the number of entries taken into account for each stop. _Champoussin_ was not lucky that day, with a mean arrival delay of about $80$ minutes."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "data_viz",
   "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",
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