{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c3fe9e6a-e919-447a-a8c2-5e964b073686",
   "metadata": {},
   "source": [
    "# Ejercicio Transacciones. Parte 3 - Explotación del dato."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "5b39cc85-7576-42bd-a907-20436bdc225f",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from datetime import datetime\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "pd.options.display.float_format = '{:.2f}'.format #Desactivar notación científica en pandas:\n",
    "np.set_printoptions(suppress=True) #Desactivar notación científica en numpy:\n",
    "pd.set_option('display.max_columns', None) #comando para mostrar todas las columnas"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "29e04ef4-f845-4670-a9ce-296f05a86b26",
   "metadata": {},
   "source": [
    "#### Uno de los problemas de trabajar con CSVs es que no se guarda el tipo de dato que contiene, por lo que al cargar el CSV deberemos comprobar que los tipos sean los correctos."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "77811df3-e1f6-401a-adfb-cafa3858356e",
   "metadata": {},
   "outputs": [],
   "source": [
    "sep = \";\"\n",
    "decimal = \",\"\n",
    "index=False\n",
    "encoding=\"UTF-8\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "bfb6ed88-e249-403b-9e45-23695f21d6ee",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('./data/transacciones2.csv', sep=sep, decimal=decimal, encoding=encoding)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "8f4ee6b4-0e77-49a5-af27-3cf987fbdae9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 110948 entries, 0 to 110947\n",
      "Data columns (total 6 columns):\n",
      " #   Column            Non-Null Count   Dtype  \n",
      "---  ------            --------------   -----  \n",
      " 0   Fecha             110948 non-null  object \n",
      " 1   Código Postal     110948 non-null  int64  \n",
      " 2   Tipo de Comercio  110948 non-null  object \n",
      " 3   Transacciones     110948 non-null  int64  \n",
      " 4   Importe Medio     110948 non-null  float64\n",
      " 5   Importe Total     110948 non-null  float64\n",
      "dtypes: float64(2), int64(2), object(2)\n",
      "memory usage: 5.1+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "3ecca57a-4ff6-4cc7-b61f-d6bb072c2ba0",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Modificamos el campo Fecha para que sea una fecha y el código postal a string\n",
    "df['Fecha'] = pd.to_datetime(df['Fecha'].astype('string'))\n",
    "df['Código Postal'] = df['Código Postal'].astype('string')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "94834c31-27fb-40b9-982d-898c0e0cd0c5",
   "metadata": {},
   "source": [
    "Enriquecemos el set de datos con nueva información."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "fbe8ef90-ecb8-4cf4-97be-0d4ec099a50e",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['dia'] = df.Fecha.dt.day\n",
    "df['mes'] = df.Fecha.dt.month\n",
    "df['anio'] = df.Fecha.dt.year\n",
    "df['diaSemana'] = df.Fecha.dt.weekday  # el 0 corresponde al lunes\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "772fa40b-9dcf-44da-be4f-2f22879a3ffd",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Fecha</th>\n",
       "      <th>Código Postal</th>\n",
       "      <th>Tipo de Comercio</th>\n",
       "      <th>Transacciones</th>\n",
       "      <th>Importe Medio</th>\n",
       "      <th>Importe Total</th>\n",
       "      <th>dia</th>\n",
       "      <th>mes</th>\n",
       "      <th>anio</th>\n",
       "      <th>diaSemana</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>48004</td>\n",
       "      <td>es_parking</td>\n",
       "      <td>8</td>\n",
       "      <td>9.24</td>\n",
       "      <td>73.92</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2015</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>48004</td>\n",
       "      <td>es_pharmacy</td>\n",
       "      <td>3</td>\n",
       "      <td>15.40</td>\n",
       "      <td>46.20</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2015</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>48004</td>\n",
       "      <td>es_taxi</td>\n",
       "      <td>2</td>\n",
       "      <td>19.80</td>\n",
       "      <td>39.60</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2015</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>48004</td>\n",
       "      <td>es_gas</td>\n",
       "      <td>2</td>\n",
       "      <td>52.98</td>\n",
       "      <td>105.96</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2015</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>48004</td>\n",
       "      <td>es_fastfood</td>\n",
       "      <td>2</td>\n",
       "      <td>29.25</td>\n",
       "      <td>58.50</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2015</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
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       "    <tr>\n",
       "      <th>110943</th>\n",
       "      <td>2015-12-31</td>\n",
       "      <td>48014</td>\n",
       "      <td>es_cafe</td>\n",
       "      <td>1</td>\n",
       "      <td>36.00</td>\n",
       "      <td>36.00</td>\n",
       "      <td>31</td>\n",
       "      <td>12</td>\n",
       "      <td>2015</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110944</th>\n",
       "      <td>2015-12-31</td>\n",
       "      <td>48014</td>\n",
       "      <td>es_hospital</td>\n",
       "      <td>1</td>\n",
       "      <td>50.00</td>\n",
       "      <td>50.00</td>\n",
       "      <td>31</td>\n",
       "      <td>12</td>\n",
       "      <td>2015</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110945</th>\n",
       "      <td>2015-12-31</td>\n",
       "      <td>48014</td>\n",
       "      <td>es_taxi</td>\n",
       "      <td>1</td>\n",
       "      <td>22.50</td>\n",
       "      <td>22.50</td>\n",
       "      <td>31</td>\n",
       "      <td>12</td>\n",
       "      <td>2015</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110946</th>\n",
       "      <td>2015-12-31</td>\n",
       "      <td>48014</td>\n",
       "      <td>es_wellness</td>\n",
       "      <td>1</td>\n",
       "      <td>22.00</td>\n",
       "      <td>22.00</td>\n",
       "      <td>31</td>\n",
       "      <td>12</td>\n",
       "      <td>2015</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110947</th>\n",
       "      <td>2015-12-31</td>\n",
       "      <td>48014</td>\n",
       "      <td>es_leather</td>\n",
       "      <td>1</td>\n",
       "      <td>59.00</td>\n",
       "      <td>59.00</td>\n",
       "      <td>31</td>\n",
       "      <td>12</td>\n",
       "      <td>2015</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>110948 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Fecha Código Postal Tipo de Comercio  Transacciones  \\\n",
       "0      2015-01-01         48004       es_parking              8   \n",
       "1      2015-01-01         48004      es_pharmacy              3   \n",
       "2      2015-01-01         48004          es_taxi              2   \n",
       "3      2015-01-01         48004           es_gas              2   \n",
       "4      2015-01-01         48004      es_fastfood              2   \n",
       "...           ...           ...              ...            ...   \n",
       "110943 2015-12-31         48014          es_cafe              1   \n",
       "110944 2015-12-31         48014      es_hospital              1   \n",
       "110945 2015-12-31         48014          es_taxi              1   \n",
       "110946 2015-12-31         48014      es_wellness              1   \n",
       "110947 2015-12-31         48014       es_leather              1   \n",
       "\n",
       "        Importe Medio  Importe Total  dia  mes  anio  diaSemana  \n",
       "0                9.24          73.92    1    1  2015          3  \n",
       "1               15.40          46.20    1    1  2015          3  \n",
       "2               19.80          39.60    1    1  2015          3  \n",
       "3               52.98         105.96    1    1  2015          3  \n",
       "4               29.25          58.50    1    1  2015          3  \n",
       "...               ...            ...  ...  ...   ...        ...  \n",
       "110943          36.00          36.00   31   12  2015          3  \n",
       "110944          50.00          50.00   31   12  2015          3  \n",
       "110945          22.50          22.50   31   12  2015          3  \n",
       "110946          22.00          22.00   31   12  2015          3  \n",
       "110947          59.00          59.00   31   12  2015          3  \n",
       "\n",
       "[110948 rows x 10 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "26d6f77e-676f-4a41-a375-c8f1bb2741aa",
   "metadata": {},
   "outputs": [],
   "source": [
    "#df['diaSemana'][df.Fecha == '2015-01-05']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "fd967740-ab14-4fbd-b5dc-491db0dd07e8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Enriquecemos más...\n",
    "filtro = ((df['diaSemana'] == 4) | (df['diaSemana'] == 5) | (df['diaSemana'] == 6))\n",
    "\n",
    "df['Fin de semana'] = 0  #  Si es 1 será fin de semana"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "0948cd2a-d8e2-45f2-beef-1b929fb3edb4",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Fecha</th>\n",
       "      <th>Código Postal</th>\n",
       "      <th>Tipo de Comercio</th>\n",
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       "      <th>Importe Medio</th>\n",
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       "      <td>2015-12-31</td>\n",
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       "      <th>110945</th>\n",
       "      <td>2015-12-31</td>\n",
       "      <td>48014</td>\n",
       "      <td>es_taxi</td>\n",
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       "      <td>22.50</td>\n",
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       "      <td>12</td>\n",
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       "      <td>3</td>\n",
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       "      <th>110946</th>\n",
       "      <td>2015-12-31</td>\n",
       "      <td>48014</td>\n",
       "      <td>es_wellness</td>\n",
       "      <td>1</td>\n",
       "      <td>22.00</td>\n",
       "      <td>22.00</td>\n",
       "      <td>31</td>\n",
       "      <td>12</td>\n",
       "      <td>2015</td>\n",
       "      <td>3</td>\n",
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       "      <td>2015-12-31</td>\n",
       "      <td>48014</td>\n",
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       "      <td>59.00</td>\n",
       "      <td>31</td>\n",
       "      <td>12</td>\n",
       "      <td>2015</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
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       "<p>110948 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Fecha Código Postal Tipo de Comercio  Transacciones  \\\n",
       "0      2015-01-01         48004       es_parking              8   \n",
       "1      2015-01-01         48004      es_pharmacy              3   \n",
       "2      2015-01-01         48004          es_taxi              2   \n",
       "3      2015-01-01         48004           es_gas              2   \n",
       "4      2015-01-01         48004      es_fastfood              2   \n",
       "...           ...           ...              ...            ...   \n",
       "110943 2015-12-31         48014          es_cafe              1   \n",
       "110944 2015-12-31         48014      es_hospital              1   \n",
       "110945 2015-12-31         48014          es_taxi              1   \n",
       "110946 2015-12-31         48014      es_wellness              1   \n",
       "110947 2015-12-31         48014       es_leather              1   \n",
       "\n",
       "        Importe Medio  Importe Total  dia  mes  anio  diaSemana  Fin de semana  \n",
       "0                9.24          73.92    1    1  2015          3              0  \n",
       "1               15.40          46.20    1    1  2015          3              0  \n",
       "2               19.80          39.60    1    1  2015          3              0  \n",
       "3               52.98         105.96    1    1  2015          3              0  \n",
       "4               29.25          58.50    1    1  2015          3              0  \n",
       "...               ...            ...  ...  ...   ...        ...            ...  \n",
       "110943          36.00          36.00   31   12  2015          3              0  \n",
       "110944          50.00          50.00   31   12  2015          3              0  \n",
       "110945          22.50          22.50   31   12  2015          3              0  \n",
       "110946          22.00          22.00   31   12  2015          3              0  \n",
       "110947          59.00          59.00   31   12  2015          3              0  \n",
       "\n",
       "[110948 rows x 11 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Fin de semana'] [filtro] = 1\n",
    "#df['Fin de semana'][((df['diaSemana'] == 4) | (df['diaSemana'] == 5) | (df['diaSemana'] == 6))] = 1\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "d6098e29-6def-4b1b-bd93-b989c80425db",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Seguimos enriqueciendo...\n",
    "filtro = ((df.mes == 7) | (df.mes==8))\n",
    "df['Verano'] = 0\n",
    "df['Verano'][filtro] = 1  # indica que la transacción se realizó en verano\n",
    "\n",
    "df['primeroMes'] = 0\n",
    "filtro = df.dia<=10\n",
    "df['primeroMes'][filtro] = 1\n",
    "\n",
    "df['finalMes'] = 0\n",
    "filtro = df.dia>=20\n",
    "df['finalMes'][filtro] = 1\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "7eb60104-330c-42c1-bd7d-c7293cb99838",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Fecha</th>\n",
       "      <th>Código Postal</th>\n",
       "      <th>Tipo de Comercio</th>\n",
       "      <th>Transacciones</th>\n",
       "      <th>Importe Medio</th>\n",
       "      <th>Importe Total</th>\n",
       "      <th>dia</th>\n",
       "      <th>mes</th>\n",
       "      <th>anio</th>\n",
       "      <th>diaSemana</th>\n",
       "      <th>Fin de semana</th>\n",
       "      <th>Verano</th>\n",
       "      <th>primeroMes</th>\n",
       "      <th>finalMes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>48004</td>\n",
       "      <td>es_parking</td>\n",
       "      <td>8</td>\n",
       "      <td>9.24</td>\n",
       "      <td>73.92</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2015</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>48004</td>\n",
       "      <td>es_pharmacy</td>\n",
       "      <td>3</td>\n",
       "      <td>15.40</td>\n",
       "      <td>46.20</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2015</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>48004</td>\n",
       "      <td>es_taxi</td>\n",
       "      <td>2</td>\n",
       "      <td>19.80</td>\n",
       "      <td>39.60</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2015</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>48004</td>\n",
       "      <td>es_gas</td>\n",
       "      <td>2</td>\n",
       "      <td>52.98</td>\n",
       "      <td>105.96</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2015</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>48004</td>\n",
       "      <td>es_fastfood</td>\n",
       "      <td>2</td>\n",
       "      <td>29.25</td>\n",
       "      <td>58.50</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2015</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110943</th>\n",
       "      <td>2015-12-31</td>\n",
       "      <td>48014</td>\n",
       "      <td>es_cafe</td>\n",
       "      <td>1</td>\n",
       "      <td>36.00</td>\n",
       "      <td>36.00</td>\n",
       "      <td>31</td>\n",
       "      <td>12</td>\n",
       "      <td>2015</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110944</th>\n",
       "      <td>2015-12-31</td>\n",
       "      <td>48014</td>\n",
       "      <td>es_hospital</td>\n",
       "      <td>1</td>\n",
       "      <td>50.00</td>\n",
       "      <td>50.00</td>\n",
       "      <td>31</td>\n",
       "      <td>12</td>\n",
       "      <td>2015</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110945</th>\n",
       "      <td>2015-12-31</td>\n",
       "      <td>48014</td>\n",
       "      <td>es_taxi</td>\n",
       "      <td>1</td>\n",
       "      <td>22.50</td>\n",
       "      <td>22.50</td>\n",
       "      <td>31</td>\n",
       "      <td>12</td>\n",
       "      <td>2015</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110946</th>\n",
       "      <td>2015-12-31</td>\n",
       "      <td>48014</td>\n",
       "      <td>es_wellness</td>\n",
       "      <td>1</td>\n",
       "      <td>22.00</td>\n",
       "      <td>22.00</td>\n",
       "      <td>31</td>\n",
       "      <td>12</td>\n",
       "      <td>2015</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110947</th>\n",
       "      <td>2015-12-31</td>\n",
       "      <td>48014</td>\n",
       "      <td>es_leather</td>\n",
       "      <td>1</td>\n",
       "      <td>59.00</td>\n",
       "      <td>59.00</td>\n",
       "      <td>31</td>\n",
       "      <td>12</td>\n",
       "      <td>2015</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>110948 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Fecha Código Postal Tipo de Comercio  Transacciones  \\\n",
       "0      2015-01-01         48004       es_parking              8   \n",
       "1      2015-01-01         48004      es_pharmacy              3   \n",
       "2      2015-01-01         48004          es_taxi              2   \n",
       "3      2015-01-01         48004           es_gas              2   \n",
       "4      2015-01-01         48004      es_fastfood              2   \n",
       "...           ...           ...              ...            ...   \n",
       "110943 2015-12-31         48014          es_cafe              1   \n",
       "110944 2015-12-31         48014      es_hospital              1   \n",
       "110945 2015-12-31         48014          es_taxi              1   \n",
       "110946 2015-12-31         48014      es_wellness              1   \n",
       "110947 2015-12-31         48014       es_leather              1   \n",
       "\n",
       "        Importe Medio  Importe Total  dia  mes  anio  diaSemana  \\\n",
       "0                9.24          73.92    1    1  2015          3   \n",
       "1               15.40          46.20    1    1  2015          3   \n",
       "2               19.80          39.60    1    1  2015          3   \n",
       "3               52.98         105.96    1    1  2015          3   \n",
       "4               29.25          58.50    1    1  2015          3   \n",
       "...               ...            ...  ...  ...   ...        ...   \n",
       "110943          36.00          36.00   31   12  2015          3   \n",
       "110944          50.00          50.00   31   12  2015          3   \n",
       "110945          22.50          22.50   31   12  2015          3   \n",
       "110946          22.00          22.00   31   12  2015          3   \n",
       "110947          59.00          59.00   31   12  2015          3   \n",
       "\n",
       "        Fin de semana  Verano  primeroMes  finalMes  \n",
       "0                   0       0           1         0  \n",
       "1                   0       0           1         0  \n",
       "2                   0       0           1         0  \n",
       "3                   0       0           1         0  \n",
       "4                   0       0           1         0  \n",
       "...               ...     ...         ...       ...  \n",
       "110943              0       0           0         1  \n",
       "110944              0       0           0         1  \n",
       "110945              0       0           0         1  \n",
       "110946              0       0           0         1  \n",
       "110947              0       0           0         1  \n",
       "\n",
       "[110948 rows x 14 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "9947990c-8ba0-4356-9b2d-e22f43420909",
   "metadata": {},
   "outputs": [],
   "source": [
    "#df['Fin de semana'] = df['Fin de semana'].astype('boolean')\n",
    "#df['Verano'] = df['Verano'].astype('boolean')\n",
    "#df['primeroMes'] = df['primeroMes'].astype('boolean')\n",
    "#df['finalMes'] = df['finalMes'].astype('boolean')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "8465d62e-32f8-4962-b2b5-e1182075bf0a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 110948 entries, 0 to 110947\n",
      "Data columns (total 14 columns):\n",
      " #   Column            Non-Null Count   Dtype         \n",
      "---  ------            --------------   -----         \n",
      " 0   Fecha             110948 non-null  datetime64[ns]\n",
      " 1   Código Postal     110948 non-null  string        \n",
      " 2   Tipo de Comercio  110948 non-null  object        \n",
      " 3   Transacciones     110948 non-null  int64         \n",
      " 4   Importe Medio     110948 non-null  float64       \n",
      " 5   Importe Total     110948 non-null  float64       \n",
      " 6   dia               110948 non-null  int64         \n",
      " 7   mes               110948 non-null  int64         \n",
      " 8   anio              110948 non-null  int64         \n",
      " 9   diaSemana         110948 non-null  int64         \n",
      " 10  Fin de semana     110948 non-null  int64         \n",
      " 11  Verano            110948 non-null  int64         \n",
      " 12  primeroMes        110948 non-null  int64         \n",
      " 13  finalMes          110948 non-null  int64         \n",
      "dtypes: datetime64[ns](1), float64(2), int64(9), object(1), string(1)\n",
      "memory usage: 11.9+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e3751902-fdf8-4738-8c39-4ee6259fd402",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true,
    "tags": []
   },
   "source": [
    "#### Hasta aquí el enriquecimiento.  Ahora unas agregaciones..."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e21ac0e6-dacd-4d04-a137-3c2787a54ebd",
   "metadata": {},
   "source": [
    "#### ¿Qué tipo de comercios se ven más afectados en fin de semana?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "4c0c9bcb-b7c7-4e48-bc4b-fbcf4d8bc3f6",
   "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>Fin de semana</th>\n",
       "      <th>NFSemana</th>\n",
       "      <th>FSemana</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tipo de Comercio</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>es_airline</th>\n",
       "      <td>226.00</td>\n",
       "      <td>53.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>es_atm</th>\n",
       "      <td>1525.01</td>\n",
       "      <td>820.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>es_beauty</th>\n",
       "      <td>1740518.77</td>\n",
       "      <td>921925.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>es_bet</th>\n",
       "      <td>298657.57</td>\n",
       "      <td>275611.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>es_boatrental</th>\n",
       "      <td>220.00</td>\n",
       "      <td>175.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>es_urbantransport</th>\n",
       "      <td>1567834.04</td>\n",
       "      <td>619607.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>es_veterinarian</th>\n",
       "      <td>365164.81</td>\n",
       "      <td>137954.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>es_video</th>\n",
       "      <td>120.30</td>\n",
       "      <td>69.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>es_wash</th>\n",
       "      <td>12369.05</td>\n",
       "      <td>3436.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>es_wellness</th>\n",
       "      <td>38215.89</td>\n",
       "      <td>14510.60</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>67 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Fin de semana       NFSemana   FSemana\n",
       "Tipo de Comercio                      \n",
       "es_airline            226.00     53.00\n",
       "es_atm               1525.01    820.00\n",
       "es_beauty         1740518.77 921925.31\n",
       "es_bet             298657.57 275611.92\n",
       "es_boatrental         220.00    175.00\n",
       "...                      ...       ...\n",
       "es_urbantransport 1567834.04 619607.06\n",
       "es_veterinarian    365164.81 137954.07\n",
       "es_video              120.30     69.20\n",
       "es_wash             12369.05   3436.78\n",
       "es_wellness         38215.89  14510.60\n",
       "\n",
       "[67 rows x 2 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datosplot = df.pivot_table(\n",
    "    index=['Fin de semana'],\n",
    "    columns=['Tipo de Comercio'], \n",
    "    values='Importe Total', \n",
    "    aggfunc=np.sum).transpose()\n",
    "datosplot.rename({0:\"NFSemana\",1:\"FSemana\"}, axis=1, inplace=True)\n",
    "datosplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "d5969325-dfc8-4ec1-b477-e60aaae3d394",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Añadimos una columna de totales\n",
    "totales = df.pivot_table (\n",
    "    index=['Tipo de Comercio'],\n",
    "    values='Importe Total', \n",
    "    aggfunc=np.sum)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "c453ca48-047b-4878-bd1e-5e2802569dc6",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "        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>Importe Total</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tipo de Comercio</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>es_airline</th>\n",
       "      <td>279.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>es_atm</th>\n",
       "      <td>2345.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>es_beauty</th>\n",
       "      <td>2662444.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>es_bet</th>\n",
       "      <td>574269.49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>es_boatrental</th>\n",
       "      <td>395.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>es_urbantransport</th>\n",
       "      <td>2187441.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>es_veterinarian</th>\n",
       "      <td>503118.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>es_video</th>\n",
       "      <td>189.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>es_wash</th>\n",
       "      <td>15805.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>es_wellness</th>\n",
       "      <td>52726.49</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>67 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Importe Total\n",
       "Tipo de Comercio                \n",
       "es_airline                279.00\n",
       "es_atm                   2345.01\n",
       "es_beauty             2662444.08\n",
       "es_bet                 574269.49\n",
       "es_boatrental             395.00\n",
       "...                          ...\n",
       "es_urbantransport     2187441.10\n",
       "es_veterinarian        503118.88\n",
       "es_video                  189.50\n",
       "es_wash                 15805.83\n",
       "es_wellness             52726.49\n",
       "\n",
       "[67 rows x 1 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "totales"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "9b644089-1158-4e17-b06e-af012bf310ba",
   "metadata": {},
   "outputs": [],
   "source": [
    "datosplot = pd.merge(datosplot, totales, left_index=True, right_index=True)\n",
    "datosplot.sort_values('Importe Total', ascending=True, inplace=True)\n",
    "# Añado el índice como una nueva columna\n",
    "#datosplot ['Comercio'] = datosplot.index\n",
    "datosplot.reset_index(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "e42ddf3a-5e2d-448a-bcc8-eb0e2627672e",
   "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>Tipo de Comercio</th>\n",
       "      <th>NFSemana</th>\n",
       "      <th>FSemana</th>\n",
       "      <th>Importe Total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>es_video</td>\n",
       "      <td>120.30</td>\n",
       "      <td>69.20</td>\n",
       "      <td>189.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>es_airline</td>\n",
       "      <td>226.00</td>\n",
       "      <td>53.00</td>\n",
       "      <td>279.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>es_boatrental</td>\n",
       "      <td>220.00</td>\n",
       "      <td>175.00</td>\n",
       "      <td>395.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>es_seatransport</td>\n",
       "      <td>961.50</td>\n",
       "      <td>644.98</td>\n",
       "      <td>1606.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>es_travelweb</td>\n",
       "      <td>850.00</td>\n",
       "      <td>850.00</td>\n",
       "      <td>1700.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>es_supermarket</td>\n",
       "      <td>2652577.22</td>\n",
       "      <td>1721705.55</td>\n",
       "      <td>4374282.77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>es_travelagency</td>\n",
       "      <td>3427127.31</td>\n",
       "      <td>1105570.67</td>\n",
       "      <td>4532697.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>es_restaurant</td>\n",
       "      <td>2768499.55</td>\n",
       "      <td>2752106.66</td>\n",
       "      <td>5520606.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>es_hypermarket</td>\n",
       "      <td>3903708.82</td>\n",
       "      <td>2314131.42</td>\n",
       "      <td>6217840.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>es_fashionsme</td>\n",
       "      <td>5917269.06</td>\n",
       "      <td>3627127.07</td>\n",
       "      <td>9544396.13</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>67 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Tipo de Comercio   NFSemana    FSemana  Importe Total\n",
       "0          es_video     120.30      69.20         189.50\n",
       "1        es_airline     226.00      53.00         279.00\n",
       "2     es_boatrental     220.00     175.00         395.00\n",
       "3   es_seatransport     961.50     644.98        1606.48\n",
       "4      es_travelweb     850.00     850.00        1700.00\n",
       "..              ...        ...        ...            ...\n",
       "62   es_supermarket 2652577.22 1721705.55     4374282.77\n",
       "63  es_travelagency 3427127.31 1105570.67     4532697.98\n",
       "64    es_restaurant 2768499.55 2752106.66     5520606.21\n",
       "65   es_hypermarket 3903708.82 2314131.42     6217840.24\n",
       "66    es_fashionsme 5917269.06 3627127.07     9544396.13\n",
       "\n",
       "[67 rows x 4 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datosplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "59800e90-a536-4ba8-b998-7ec44c25fe84",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Comparación ventas NFS/FS')"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1440 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams['figure.figsize'] = (20, 20)\n",
    "datosplot.plot(x = 'Tipo de Comercio', y=['NFSemana','FSemana'], kind=\"barh\")\n",
    "plt.xticks(rotation=90)\n",
    "plt.xticks(fontsize=15)\n",
    "plt.title(\"Comparación ventas NFS/FS\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "20cf17b7-c3e2-4c92-a4ad-425374bf28ab",
   "metadata": {},
   "source": [
    "#### Quizás así se ve mejor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "cf3f15da-2801-4480-807c-1366eec92269",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Comparación ventas NFS/FS')"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1440 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams['figure.figsize'] = (20, 20)\n",
    "datosplot.plot(x = 'Tipo de Comercio', y=['NFSemana','FSemana'], kind=\"barh\", stacked=True)\n",
    "plt.xticks(rotation=90)\n",
    "plt.xticks(fontsize=15)\n",
    "plt.title(\"Comparación ventas NFS/FS\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e99199d6-6d05-41e0-9234-193b56082ddb",
   "metadata": {
    "tags": []
   },
   "source": [
    "#### En ambas gráficas tenemos probablemente demasiados elementos.\n",
    "#### También podemos extraer los porcentajes de venta, en función de si la venta se ha realizado en fin de semana o no."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "2ec98e36-641a-4a1a-9b71-e3ed07f74fda",
   "metadata": {
    "tags": []
   },
   "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>Fin de semana</th>\n",
       "      <th>NFSemana</th>\n",
       "      <th>FSemana</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Importe Total</th>\n",
       "      <td>52262825.29</td>\n",
       "      <td>29029952.54</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Fin de semana    NFSemana     FSemana\n",
       "Importe Total 52262825.29 29029952.54"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datosplot2 = df.pivot_table(\n",
    "    columns=['Fin de semana'], \n",
    "    values='Importe Total', \n",
    "    aggfunc=np.sum)\n",
    "datosplot2.rename({0:\"NFSemana\",1:\"FSemana\"}, axis=1, inplace=True)\n",
    "datosplot2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "31745f7a-ab54-4012-aeef-90dc6bdaa729",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Comparación ventas NFS/FS')"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams['figure.figsize'] = (7, 7)\n",
    "datosplot2.plot(y=['NFSemana','FSemana'], kind=\"bar\")\n",
    "plt.xticks(rotation=0)\n",
    "plt.rcParams['figure.figsize'] = (10, 10)\n",
    "plt.title(\"Comparación ventas NFS/FS\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "84bec8d3-4f92-419f-a465-31a88df5a9bd",
   "metadata": {},
   "source": [
    "#### Generamos el nuevo set de datos para ver más claro a que tipo de comercio le afectan menos los fines de semana."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "15be5b62-8ced-43ac-bc2c-d3d3fdd76a8e",
   "metadata": {},
   "outputs": [],
   "source": [
    "datosplot3 = df.pivot_table(\n",
    "    columns = ['Fin de semana', 'Tipo de Comercio'],\n",
    "    values = ['Importe Total'],\n",
    "    aggfunc=np.sum).transpose().reset_index()\n",
    "\n",
    "datosplot4 = df.pivot_table(\n",
    "    columns = ['Tipo de Comercio'],\n",
    "    values = ['Importe Total'],\n",
    "    aggfunc=np.sum).transpose().reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "7e5eead1-b50a-4c3e-8c1c-283ec539d550",
   "metadata": {},
   "outputs": [],
   "source": [
    "datosplot5 = pd.merge(\n",
    "    datosplot3,\n",
    "    datosplot4,\n",
    "    how = 'left',\n",
    "    on = 'Tipo de Comercio',\n",
    "    sort = True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "cd98c4d9-0dd9-47b0-a68a-2fd516ea0ad6",
   "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>Fin de semana</th>\n",
       "      <th>Tipo de Comercio</th>\n",
       "      <th>Importe Total_x</th>\n",
       "      <th>Importe Total_y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>es_airline</td>\n",
       "      <td>226.00</td>\n",
       "      <td>279.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>es_airline</td>\n",
       "      <td>53.00</td>\n",
       "      <td>279.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>es_atm</td>\n",
       "      <td>1525.01</td>\n",
       "      <td>2345.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>es_atm</td>\n",
       "      <td>820.00</td>\n",
       "      <td>2345.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>es_beauty</td>\n",
       "      <td>1740518.77</td>\n",
       "      <td>2662444.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>1</td>\n",
       "      <td>es_video</td>\n",
       "      <td>69.20</td>\n",
       "      <td>189.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>0</td>\n",
       "      <td>es_wash</td>\n",
       "      <td>12369.05</td>\n",
       "      <td>15805.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>1</td>\n",
       "      <td>es_wash</td>\n",
       "      <td>3436.78</td>\n",
       "      <td>15805.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>0</td>\n",
       "      <td>es_wellness</td>\n",
       "      <td>38215.89</td>\n",
       "      <td>52726.49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>1</td>\n",
       "      <td>es_wellness</td>\n",
       "      <td>14510.60</td>\n",
       "      <td>52726.49</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>134 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Fin de semana Tipo de Comercio  Importe Total_x  Importe Total_y\n",
       "0                0       es_airline           226.00           279.00\n",
       "1                1       es_airline            53.00           279.00\n",
       "2                0           es_atm          1525.01          2345.01\n",
       "3                1           es_atm           820.00          2345.01\n",
       "4                0        es_beauty       1740518.77       2662444.08\n",
       "..             ...              ...              ...              ...\n",
       "129              1         es_video            69.20           189.50\n",
       "130              0          es_wash         12369.05         15805.83\n",
       "131              1          es_wash          3436.78         15805.83\n",
       "132              0      es_wellness         38215.89         52726.49\n",
       "133              1      es_wellness         14510.60         52726.49\n",
       "\n",
       "[134 rows x 4 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datosplot5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "f77f8583-8b35-44e9-b88a-3a236582672a",
   "metadata": {},
   "outputs": [],
   "source": [
    "datosplot5.rename({'Importe Total_x':'Importe Total','Importe Total_y':'Importe Total Año'}, axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f5d6b66c-6755-4b08-878e-7337a7f92396",
   "metadata": {
    "tags": []
   },
   "source": [
    "#### Ahora relativizamos los datos en base cuándo se produce la venta (finde o no)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "6bba9f55-d4cd-483f-be7c-60eb8fce607e",
   "metadata": {},
   "outputs": [],
   "source": [
    "datosplot5 ['porc_importetotal'] = datosplot5['Importe Total'] / datosplot5 ['Importe Total Año']\n",
    "datosplot5.reset_index(drop=True, inplace=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "1102e3ff-83f4-4907-8d24-ae29db44bdb4",
   "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>Fin de semana</th>\n",
       "      <th>Tipo de Comercio</th>\n",
       "      <th>Importe Total</th>\n",
       "      <th>Importe Total Año</th>\n",
       "      <th>porc_importetotal</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>es_airline</td>\n",
       "      <td>226.00</td>\n",
       "      <td>279.00</td>\n",
       "      <td>0.81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>es_airline</td>\n",
       "      <td>53.00</td>\n",
       "      <td>279.00</td>\n",
       "      <td>0.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>es_atm</td>\n",
       "      <td>1525.01</td>\n",
       "      <td>2345.01</td>\n",
       "      <td>0.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>es_atm</td>\n",
       "      <td>820.00</td>\n",
       "      <td>2345.01</td>\n",
       "      <td>0.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>es_beauty</td>\n",
       "      <td>1740518.77</td>\n",
       "      <td>2662444.08</td>\n",
       "      <td>0.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>1</td>\n",
       "      <td>es_video</td>\n",
       "      <td>69.20</td>\n",
       "      <td>189.50</td>\n",
       "      <td>0.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>0</td>\n",
       "      <td>es_wash</td>\n",
       "      <td>12369.05</td>\n",
       "      <td>15805.83</td>\n",
       "      <td>0.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>1</td>\n",
       "      <td>es_wash</td>\n",
       "      <td>3436.78</td>\n",
       "      <td>15805.83</td>\n",
       "      <td>0.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>0</td>\n",
       "      <td>es_wellness</td>\n",
       "      <td>38215.89</td>\n",
       "      <td>52726.49</td>\n",
       "      <td>0.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>1</td>\n",
       "      <td>es_wellness</td>\n",
       "      <td>14510.60</td>\n",
       "      <td>52726.49</td>\n",
       "      <td>0.28</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>134 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Fin de semana Tipo de Comercio  Importe Total  Importe Total Año  \\\n",
       "0                0       es_airline         226.00             279.00   \n",
       "1                1       es_airline          53.00             279.00   \n",
       "2                0           es_atm        1525.01            2345.01   \n",
       "3                1           es_atm         820.00            2345.01   \n",
       "4                0        es_beauty     1740518.77         2662444.08   \n",
       "..             ...              ...            ...                ...   \n",
       "129              1         es_video          69.20             189.50   \n",
       "130              0          es_wash       12369.05           15805.83   \n",
       "131              1          es_wash        3436.78           15805.83   \n",
       "132              0      es_wellness       38215.89           52726.49   \n",
       "133              1      es_wellness       14510.60           52726.49   \n",
       "\n",
       "     porc_importetotal  \n",
       "0                 0.81  \n",
       "1                 0.19  \n",
       "2                 0.65  \n",
       "3                 0.35  \n",
       "4                 0.65  \n",
       "..                 ...  \n",
       "129               0.37  \n",
       "130               0.78  \n",
       "131               0.22  \n",
       "132               0.72  \n",
       "133               0.28  \n",
       "\n",
       "[134 rows x 5 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datosplot5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "cd0100a8-e6df-45d1-9299-6c0b6e0b55e7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     0.81\n",
       "1     0.19\n",
       "2     0.65\n",
       "3     0.35\n",
       "4     0.65\n",
       "      ... \n",
       "129   0.37\n",
       "130   0.78\n",
       "131   0.22\n",
       "132   0.72\n",
       "133   0.28\n",
       "Name: porc_importetotal, Length: 134, dtype: float64"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datosplot5.porc_importetotal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "8f6f9cff-4791-4673-b119-6135efadd31d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Divido los datos en 2 partes.  No es necesario, pero lo hago por claridad.\n",
    "laborables = datosplot5 [datosplot5['Fin de semana'] == 0]\n",
    "festivos = datosplot5 [datosplot5['Fin de semana'] == 1]\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "d87c6587-856c-4c39-982d-46ef901b1f66",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<BarContainer object of 67 artists>"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Pintamos...\n",
    "plt.rcParams['figure.figsize'] = (10, 10)\n",
    "plt.xticks(rotation=90)\n",
    "plt.xticks(fontsize=10)\n",
    "plt.bar(\n",
    "    laborables['Tipo de Comercio'], \n",
    "    laborables['porc_importetotal'], \n",
    "    color = 'b', \n",
    "    width=1)\n",
    "\n",
    "plt.bar(\n",
    "    festivos['Tipo de Comercio'], \n",
    "    festivos['porc_importetotal'], \n",
    "    color = 'r', \n",
    "    width=1, \n",
    "    bottom = laborables['porc_importetotal'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a09c2012-b03e-4685-a170-2f24f6c73906",
   "metadata": {},
   "source": [
    "#### En ese formato no se ve muy claramente, qué comercios se ven más afectados por los fines de semana.  Hacemos cambios..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "308748b6-7ce0-470e-becb-9a8e61724c0b",
   "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>Fin de semana</th>\n",
       "      <th>Tipo de Comercio</th>\n",
       "      <th>Importe Total</th>\n",
       "      <th>Importe Total Año</th>\n",
       "      <th>porc_importetotal</th>\n",
       "      <th>nueva</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>1</td>\n",
       "      <td>es_mail</td>\n",
       "      <td>984.63</td>\n",
       "      <td>6615.18</td>\n",
       "      <td>0.15</td>\n",
       "      <td>0.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>1</td>\n",
       "      <td>es_hospital</td>\n",
       "      <td>387887.87</td>\n",
       "      <td>2568587.48</td>\n",
       "      <td>0.15</td>\n",
       "      <td>0.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>1</td>\n",
       "      <td>es_education</td>\n",
       "      <td>64491.14</td>\n",
       "      <td>352095.25</td>\n",
       "      <td>0.18</td>\n",
       "      <td>0.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>es_airline</td>\n",
       "      <td>53.00</td>\n",
       "      <td>279.00</td>\n",
       "      <td>0.19</td>\n",
       "      <td>0.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>1</td>\n",
       "      <td>es_insurance</td>\n",
       "      <td>2133.64</td>\n",
       "      <td>10729.59</td>\n",
       "      <td>0.20</td>\n",
       "      <td>0.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>1</td>\n",
       "      <td>es_restaurant</td>\n",
       "      <td>2752106.66</td>\n",
       "      <td>5520606.21</td>\n",
       "      <td>0.50</td>\n",
       "      <td>0.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>1</td>\n",
       "      <td>es_travelweb</td>\n",
       "      <td>850.00</td>\n",
       "      <td>1700.00</td>\n",
       "      <td>0.50</td>\n",
       "      <td>0.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1</td>\n",
       "      <td>es_cartest</td>\n",
       "      <td>1442.25</td>\n",
       "      <td>2843.93</td>\n",
       "      <td>0.51</td>\n",
       "      <td>0.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>1</td>\n",
       "      <td>es_fastfood</td>\n",
       "      <td>258907.97</td>\n",
       "      <td>477792.76</td>\n",
       "      <td>0.54</td>\n",
       "      <td>0.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>1</td>\n",
       "      <td>es_museum</td>\n",
       "      <td>12726.71</td>\n",
       "      <td>19156.19</td>\n",
       "      <td>0.66</td>\n",
       "      <td>0.66</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>67 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Fin de semana Tipo de Comercio  Importe Total  Importe Total Año  \\\n",
       "67               1          es_mail         984.63            6615.18   \n",
       "53               1      es_hospital      387887.87         2568587.48   \n",
       "33               1     es_education       64491.14          352095.25   \n",
       "1                1       es_airline          53.00             279.00   \n",
       "59               1     es_insurance        2133.64           10729.59   \n",
       "..             ...              ...            ...                ...   \n",
       "93               1    es_restaurant     2752106.66         5520606.21   \n",
       "123              1     es_travelweb         850.00            1700.00   \n",
       "21               1       es_cartest        1442.25            2843.93   \n",
       "39               1      es_fastfood      258907.97          477792.76   \n",
       "71               1        es_museum       12726.71           19156.19   \n",
       "\n",
       "     porc_importetotal  nueva  \n",
       "67                0.15   0.15  \n",
       "53                0.15   0.15  \n",
       "33                0.18   0.18  \n",
       "1                 0.19   0.19  \n",
       "59                0.20   0.20  \n",
       "..                 ...    ...  \n",
       "93                0.50   0.50  \n",
       "123               0.50   0.50  \n",
       "21                0.51   0.51  \n",
       "39                0.54   0.54  \n",
       "71                0.66   0.66  \n",
       "\n",
       "[67 rows x 6 columns]"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "festivos = datosplot5 [datosplot5['Fin de semana'] == 1]\n",
    "festivos.sort_values('porc_importetotal', ascending=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "d3982f5c-1a3f-420a-96f9-5fce3c88d356",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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QAwAAAIDCtArUzGwTM7vSzK4xs32HpFvLzGaY2dZzLosAAAAAMH8ZGaiZ2SRJR0jaVNLqkt5uZqsPSPcFSWfP6UwCAAAAwPykTY3a2pKucfdr3X26pJMlbd6Q7gOSTpN02xzMHwAAAEpm1n4B0FqbQG0ZSTdmj6el52Yxs2UkbSHpqDmXNQAAAACYP7UJ1JqKP7z2+CuSPubuM4auyGwXM5tqZlNvv/32llkEAAAAgPnL5BZppklaLnu8rKSba2mmSDrZokp7KUmbmdlj7v7TPJG7Hy3paEmaMmVKPdgDAADARKOJIlCENoHahZJWMbOVJN0k6W2S3pEncPeVqv/N7ARJP68HaQAAAACAdkYGau7+mJntoRjNcZKk49z9cjPbNb1OvzQAAAAAmIPa1KjJ3c+SdFbtucYAzd13mP1sAQAAAMD8q9WE1wAAAACAxw+BGgAAAAAUplXTRwAAAMzDGMkRmOdQowYAAAAAhSFQAwAAAIDCEKgBAAAAQGHoowYAADAvot8Z8IRGjRoAAAAAFIYaNQAAgBJQQwYgQ40aAAAAABSGQA0AAAAACkOgBgAAAACFIVADAAAAgMIQqAEAAABAYQjUAAAAAKAwBGoAAAAAUBgCNQAAAAAoDIEaAAAAABRm8kRnAAAA4AnLbKJzAGAeRaAGAADQBcEXgMcBTR8BAAAAoDAEagAAAABQGAI1AAAAACgMgRoAAAAAFIZADQAAAAAKQ6AGAAAAAIUhUAMAAACAwjCPGgAAeOJhrjMA8zhq1AAAAACgMNSoAQCAeQO1ZADmI9SoAQAAAEBhqFEDAAATgxoyABiIGjUAAAAAKAw1agAAYM6hlgwA5ghq1AAAAACgMARqAAAAAFAYmj4CAIDhaM4IAI87atQAAAAAoDAEagAAAABQGAI1AAAAACgMgRoAAAAAFIZADQAAAAAKw6iPAADMbxjFEQCKR40aAAAAABSGQA0AAAAACkPTRwAAnghozggATyjUqAEAAABAYahRAwCgRNSQAcB8jRo1AAAAACgMgRoAAAAAFIamjwAAzA6aKAIA5gJq1AAAAACgMARqAAAAAFAYAjUAAAAAKAx91AAAT3z0IwMAzGOoUQMAAACAwhCoAQAAAEBhCNQAAAAAoDD0UQMAzJvodwYAeAKjRg0AAAAACkONGgBg7qHWCwCAcaFGDQAAAAAKQ40aAKAbaskAAJjrqFEDAAAAgMJQowYA8ztqyAAAKA41agAAAABQGAI1AAAAACgMgRoAAAAAFIZADQAAAAAKQ6AGAAAAAIUhUAMAAACAwjA8PwA8ETHkPgAA8zRq1AAAAACgMARqAAAAAFAYAjUAAAAAKAyBGgAAAAAUhkANAAAAAApDoAYAAAAAhSFQAwAAAIDCEKgBAAAAQGEI1AAAAACgMARqAAAAAFAYAjUAAAAAKAyBGgAAAAAUhkANAAAAAAozeaIzAADzLbOJzgEAACgUNWoAAAAAUBgCNQAAAAAoDIEaAAAAABSGQA0AAAAACkOgBgAAAACFIVADAAAAgMIwPD8AzEkMuQ8AAOYAatQAAAAAoDAEagAAAABQGAI1AAAAACgMgRoAAAAAFIZADQAAAAAKQ6AGAAAAAIUhUAMAAACAwhCoAQAAAEBhCNQAAAAAoDAEagAAAABQGAI1AAAAACgMgRoAAAAAFIZADQAAAAAKQ6AGAAAAAIUhUAMAAACAwrQK1MxsEzO70syuMbN9G17f3MwuNbOLzWyqma0z57MKAAAAAPOHyaMSmNkkSUdI2kjSNEkXmtkZ7n5FluxcSWe4u5vZGpJOkbTa3MgwAAAAADzRtalRW1vSNe5+rbtPl3SypM3zBO5+v7t7evhkSS4AAAAAwLi0CdSWkXRj9nhaeq6PmW1hZv+SdKakHedM9gAAAABg/tMmULOG58bUmLn7T9x9NUlvkfSZxhWZ7ZL6sE29/fbbO2UUACaEWbcFAABgDmgTqE2TtFz2eFlJNw9K7O7nS1rZzJZqeO1od5/i7lOWXnrpzpkFAAAAgPlBm0DtQkmrmNlKZragpLdJOiNPYGbPM4uiZDN7maQFJd0xpzMLAAAAAPODkaM+uvtjZraHpLMlTZJ0nLtfbma7ptePkrSVpO3N7FFJD0naNhtcBAAAAADQgU1UPDVlyhSfOnXqhHw2gPkcfckAAJi/FFqHZGYXufuUptdaTXgNAAAAAHj8EKgBAAAAQGEI1AAAAACgMARqAAAAAFAYAjUAAAAAKMzI4fkBYJ7ASI4AAOAJhEANQJkIvAAAwHyMpo8AAAAAUBgCNQAAAAAoDIEaAAAAABSGQA0AAAAACkOgBgAAAACFIVADAAAAgMIQqAEAAABAYZhHDcDjh7nRAAAAWqFGDQAAAAAKQ6AGAAAAAIUhUAMAAACAwhCoAQAAAEBhCNQAAAAAoDAEagAAAABQGAI1AAAAACgM86gBmD3MjQYAADDHUaMGAAAAAIWhRg1AP2rIAAAAJhyBGjA/IPgCAACYp9D0EQAAAAAKQ40aMK+ilgwAAOAJixo1AAAAACgMgRoAAAAAFIZADQAAAAAKQx81oBT0OQMAAEBCjRoAAAAAFIZADQAAAAAKQ6AGAAAAAIWhjxowN9HvDAAAAONAjRoAAAAAFIZADQAAAAAKQ6AGAAAAAIUhUAMAAACAwhCoAQAAAEBhCNQAAAAAoDAEagAAAABQGAI1AAAAACgME14DXTGJNQAAAOYyatQAAAAAoDAEagAAAABQGAI1AAAAACgMgRoAAAAAFIZADQAAAAAKQ6AGAAAAAIUhUAMAAACAwjCPGsC8aAAAACgMgRrmDQRTAAAAmI/Q9BEAAAAACkOgBgAAAACFIVADAAAAgMIQqAEAAABAYQjUAAAAAKAwBGoAAAAAUBiG58fEYch9AAAAoBE1agAAAABQGAI1AAAAACgMgRoAAAAAFIZADQAAAAAKQ6AGAAAAAIUhUAMAAACAwhCoAQAAAEBhCNQAAAAAoDAEagAAAABQGAI1AAAAACgMgRoAAAAAFIZADQAAAAAKQ6AGAAAAAIUhUAMAAACAwhCoAQAAAEBhCNQAAAAAoDAEagAAAABQGAI1AAAAACgMgRoAAAAAFGbyRGcATzBmE50DAAAAYJ5HoIbhCLwAAACAxx1NHwEAAACgMARqAAAAAFAYAjUAAAAAKAyBGgAAAAAUhkANAAAAAApDoAYAAAAAhSFQAwAAAIDCEKgBAAAAQGEI1AAAAACgMJMnOgOYAGYTnQMAAAAAQ1CjBgAAAACFIVADAAAAgMIQqAEAAABAYQjUAAAAAKAwBGoAAAAAUBgCNQAAAAAoDIEaAAAAABSGQA0AAAAACkOgBgAAAACFIVADAAAAgMIQqAEAAABAYQjUAAAAAKAwBGoAAAAAUBgCNQAAAAAoDIEaAAAAABSGQA0AAAAACtMqUDOzTczsSjO7xsz2bXj9nWZ2aVr+aGYvnvNZBQAAAID5w8hAzcwmSTpC0qaSVpf0djNbvZbsOknrufsakj4j6eg5nVEAAAAAmF+0qVFbW9I17n6tu0+XdLKkzfME7v5Hd78rPfyzpGXnbDYBAAAAYP7RJlBbRtKN2eNp6blBdpL0i9nJFAAAAADMzya3SGMNz3ljQrMNFIHaOgNe30XSLpK0/PLLt8wiAAAAAMxf2tSoTZO0XPZ4WUk31xOZ2RqSjpG0ubvf0bQidz/a3ae4+5Sll156PPnFIGbtFwAAAABFaxOoXShpFTNbycwWlPQ2SWfkCcxseUk/lvQud79qzmcTAAAAAOYfI5s+uvtjZraHpLMlTZJ0nLtfbma7ptePkvRpSUtKOtKixuYxd58y97INAAAAAE9c5t7Y3WyumzJlik+dOnVCPvsJiSaNAAAAQLMJinlGMbOLBlVwtZrwGgAAAADw+CFQAwAAAIDCEKgBAAAAQGEI1AAAAACgMARqAAAAAFAYAjUAAAAAKMzIedQwQRhuHwAAAJhvUaMGAAAAAIUhUAMAAACAwhCoAQAAAEBhCNQAAAAAoDAEagAAAABQGAI1AAAAACgMgRoAAAAAFIZ51B5PzI0GAAAAoAVq1AAAAACgMARqAAAAAFAYAjUAAAAAKAyBGgAAAAAUhkANAAAAAApDoAYAAAAAhSFQAwAAAIDCEKgBAAAAQGEI1AAAAACgMARqAAAAAFAYAjUAAAAAKAyBGgAAAAAUhkANAAAAAApDoAYAAAAAhSFQAwAAAIDCEKgBAAAAQGEI1AAAAACgMARqAAAAAFAYAjUAAAAAKAyBGgAAAAAUhkANAAAAAApDoAYAAAAAhSFQAwAAAIDCEKgBAAAAQGEI1AAAAACgMARqAAAAAFAYAjUAAAAAKAyBGgAAAAAUhkANAAAAAApDoAYAAAAAhSFQAwAAAIDCEKgBAAAAQGEI1AAAAACgMARqAAAAAFAYAjUAAAAAKAyBGgAAAAAUhkANAAAAAAozeaIzMM8zm+gcAAAAAHiCoUYNAAAAAApDjVodNWQAAAAAJhg1agAAAABQGAI1AAAAACgMgRoAAAAAFIZADQAAAAAKQ6AGAAAAAIUhUAMAAACAwhCoAQAAAEBhCNQAAAAAoDAEagAAAABQGAI1AAAAACgMgRoAAAAAFIZADQAAAAAKQ6AGAAAAAIUhUAMAAACAwhCoAQAAAEBhCNQAAAAAoDAEagAAAABQGAI1AAAAACgMgRoAAAAAFIZADQAAAAAKQ6AGAAAAAIUhUAMAAACAwhCoAQAAAEBhCNQAAAAAoDAEagAAAABQGAI1AAAAACgMgRoAAAAAFIZADQAAAAAKQ6AGAAAAAIUhUAMAAACAwhCoAQAAAEBhCNQAAAAAoDAEagAAAABQGAI1AAAAACgMgRoAAAAAFIZADQAAAAAKQ6AGAAAAAIUhUAMAAACAwhCoAQAAAEBhCNQAAAAAoDAEagAAAABQGAI1AAAAACgMgRoAAAAAFIZADQAAAAAKQ6AGAAAAAIUhUAMAAACAwhCoAQAAAEBhCNQAAAAAoDAEagAAAABQGAI1AAAAACgMgRoAAAAAFIZADQAAAAAKQ6AGAAAAAIVpFaiZ2SZmdqWZXWNm+za8vpqZ/cnMHjGzved8NgEAAABg/jF5VAIzmyTpCEkbSZom6UIzO8Pdr8iS3SlpT0lvmRuZBAAAAID5SZsatbUlXePu17r7dEknS9o8T+Dut7n7hZIenQt5BAAAAID5SptAbRlJN2aPp6XnAAAAAABzQZtAzRqe8/F8mJntYmZTzWzq7bffPp5VAAAAAMATXptAbZqk5bLHy0q6eTwf5u5Hu/sUd5+y9NJLj2cVAAAAAPCE1yZQu1DSKma2kpktKOltks6Yu9kCAAAAgPnXyFEf3f0xM9tD0tmSJkk6zt0vN7Nd0+tHmdmzJE2V9FRJM83sQ5JWd/d7517WAQAAAOCJaWSgJknufpaks2rPHZX9f4uiSSQAAAAAYDa1mvAaAAAAAPD4IVADAAAAgMIQqAEAAABAYQjUAAAAAKAwBGoAAAAAUBgCNQAAAAAoDIEaAAAAABSGQA0AAAAACkOgBgAAAACFIVADAAAAgMIQqAEAAABAYQjUAAAAAKAwBGoAAAAAUBgCNQAAAAAoDIEaAAAAABSGQA0AAAAACkOgBgAAAACFIVADAAAAgMIQqAEAAABAYQjUAAAAAKAwBGoAAAAAUBgCNQAAAAAoDIEaAAAAABSGQA0AAAAACkOgBgAAAACFIVADAAAAgMIQqAEAAABAYQjUAAAAAKAwBGoAAAAAUBgCNQAAAAAoDIEaAAAAABSGQA0AAAAACkOgBgAAAACFIVADAAAAgMIQqAEAAABAYQjUAAAAAKAwBGoAAAAAUBgCNQAAAAAoDIEaAAAAABSGQA0AAAAACkOgBgAAAACFIVADAAAAgMIQqAEAAABAYQjUAAAAAKAwBGoAAAAAUBgCNQAAAAAoDIEaAAAAABSGQA0AAAAACkOgBgAAAACFIVADAAAAgMIQqAEAAABAYQjUAAAAAKAwBGoAAAAAUBgCNQAAAAAoDIEaAAAAABSGQA0AAAAACkOgBgAAAACFIVADAAAAgMIQqAEAAABAYQjUAAAAAKAwBGoAAAAAUBgCNQAAAAAoDIEaAAAAABSGQA0AAAAACkOgBgAAAACFIVADAAAAgMIQqAEAAABAYQjUAAAAAKAwBGoAAAAAUBgCNQAAAAAoDIEaAAAAABSGQA0AAAAACkOgBgAAAACFIVADAAAAgMIQqAEAAABAYQjUAAAAAKAwBGoAAAAAUBgCNQAAAAAoDIEaAAAAABSGQA0AAAAACkOgBgAAAACFIVADAAAAgMIQqAEAAABAYQjUAAAAAKAwBGoAAAAAUBgCNQAAAAAoDIEaAAAAABSGQA0AAAAACkOgBgAAAACFIVADAAAAgMIQqAEAAABAYQjUAAAAAKAwBGoAAAAAUBgCNQAAAAAoDIEaAAAAABSGQA0AAAAACkOgBgAAAACFIVADAAAAgMIQqAEAAABAYQjUAAAAAKAwBGoAAAAAUBgCNQAAAAAoDIEaAAAAABSGQA0AAAAACkOgBgAAAACFIVADAAAAgMIQqAEAAABAYQjUAAAAAKAwrQI1M9vEzK40s2vMbN+G183MvpZev9TMXjbnswoAAAAA84eRgZqZTZJ0hKRNJa0u6e1mtnot2aaSVknLLpK+OYfzCQAAAADzjTY1amtLusbdr3X36ZJOlrR5Lc3mkr7j4c+SFjezZ8/hvAIAAADAfGFyizTLSLoxezxN0stbpFlG0n/zRGa2i6LGTZLuN7MrO+V2Yi0l6X9zIe3cXDf5KDMfc3Pd5IN8TNS6yQf5mKh1kw/yMVHrJh/zUj7MWr79cbfCwFfcfegiaRtJx2SP3yXp67U0Z0paJ3t8rqQ1R617XlokTZ0baefmuslHmfmYH74j+SgzH/PDdyQfZeZjfviO5KPMfMwP35F8zF4+Sl7aNH2cJmm57PGykm4eRxoAAAAAQAttArULJa1iZiuZ2YKS3ibpjFqaMyRtn0Z/fIWke9z9v/UVAQAAAABGG9lHzd0fM7M9JJ0taZKk49z9cjPbNb1+lKSzJG0m6RpJD0p6z9zL8oQ5ei6lnZvrJh9l5mNurpt8kI+JWjf5IB8TtW7yQT4mat3k44mRj2JZassJAAAAAChEqwmvAQAAAACPHwI1AAAAACgMgRoAAAAAFIZADRPCzBYys3ea2SoTnZd5Udp+nzCzF090XkqURqB9jpmNHDAJwcyWN7MnDXhtspkt/zjkYdznhfntNzezxSc6D2jHzD5tZs8Z8NqzzezTs7HuOXLclrY/mZU7M/HsKm1b58xsezNbcsBrS5jZ9nPwsxr3W/RjMJEBzGwNSZ+QNEUxL9wr3f1vZnawpN+7+y8a3jNZ0oL15939wSzNHpJ+4O53tsjDjPS5f214bU1Jf5X0prbfyd3Pyt7/DElPdvfr0mOTtLOk1SWd6+4/y9KuK2kJdz89PV5K0teqtJL2dfdHs/Sttp2ZPSRpE3f/Xdvv0JaZXStpC3e/pOG1F0o6w92f2/Da0yW9UDEv4C/c/S4zW1jSdHef2ZB+5G8+jrwvJGlHxfZbTtLu7n61mW0r6VJ3/2dK96CkTbtuv7T+ZSQt3JDvK8aZ52dI+kiW5y3S6LAfVOynN3VZn7vfUFv/ptm6P+vuN5jZayRd4+43Z+k2k7S/pJcoRqldO+17R0s6392/Nxvfr+3xMlnSJHd/JHtu45T2fHf/24DPGLTvrSypy4l6/Q5p3d2/mT5/5PnG3Sdlz7XaT1PaLue9TueFufWbz01dtrWZ7SZpMXc/ND1+iaSfS3q2pIslbe7u09JrW0la3N2PTY9XkvR99c7VO7n73ePM8xcVoz53OkeY2aqK60DT+easWtrnSHqlpCUk3SnpT/nxPeQzVpO0mmK7NaY3s+dLWkux3f6rmBD3Xw3php7L3P1PKV3ra0zXY6tjProet633py7GkY/vSNrD3e9tSL+qpF9Kerm7325m7x/x8bPOY+PV5hpjZj+SdJykXzbdDzSsc25t6075yN63saS11TsG/uLuv6qlGc++2uUYf5WkT0laR9KiipHiL5D0mWqf7rru8V5z5xXzRcljV+mAPUPSHyV9R3ETUHlE0gckVcHG0yR9XtIWkpaW1FQKlO/Un5d0mJn9THGgne2Do+VhJUpPUtSI/mxEuorX8nGCYjqFPdPjAyXtl57bw8ze6+4npNcOVZxcTk+PvyrptZJ+ImkHxTbZT+q27SRdJmlVSQNvyMzsQnW4SXX3tdO/K0paaECyRRUHfv45kxS/ze6SFkmfuZakuySdJmlq9V3M7KmSPidpS0nP0Ijf3MyuG/IdZkq6V9Ilkr4h6T5Jv5L0NEkXKW66F0tp15X0BklVidZfJK2pIduv9h2foxiydtOml5XtI2Y2c0iePcvz1xRB2K8k3Z7ysr562/7ZipuNLYesr0mVj2cq9qc1Jf1H0kqSjpJ0g2IakIcl7ZbSbq84pr4v6UhJx2fru1rSTmb25g55cHffNv1/gtofLz+UdI8iiJGZ7SnpK4r9f5KZbenuP68+pMW+t5liPxml+g27lES7pOoGZ9j7Fk75r/K8qtrvp1K3897I80KWjza/+Rqj1pNZr83nJu7uH8vysrbiOtBUCJLvS9Loc/tj2eMPKI6zytck3Sxpb0kfk3SIpO3Sa59UnHcrX5e0VErzPkkHK/azKs/HDclHdW66WNKPJW0laS8zu0ixzU9y93sGvdnMVlccC6ur+fvm55tJKa87q/86NSMF3B+obkjN7FuK7blrerytpO+l991vZpu4+x+zfDxV0rdT/heQdL+kp0iaaWY/lvTeKlhIv+Goc9nW6fGKan+NqY7NJssqjvVe4m75aH3cJq33p477R5d9WpI2kHR5OneeXT1pZnsp9tNFFOf72xXXxmHy85jM7Dct8328pOlqeY1R3OP9TNKtKdA8oSnYz4za1hengL+V7P6mUz7Stf8niuvKbWl5hqSDzGyqohCgKkwd9jsuqdh21XpbH+Mp/UaSzpR0paTDJN0q6ZmKffm3ZvYGd//1ONbd6Zo7ryFQa/Z5xY6/c4rU82DjYkm7Zo9PUFzcv624aZs+Yt3PkvRWRYBzpqT/mtmJkk5096ssmimsmKV/aSpVzy0s6d2S/q0ImMbjZUrzTJjZAooT0X7ufqiZHSjpQ+m7SdLzFTemMrNFFTcjO7r7ySmQ2i8tUrdtt5ekE8zsv4qSofqJXJIuV/sb/CdZfzOPZ9nYZh8LKyZtr9fwfE5xk7CHpPMk5SfP01O+q+/yLUlvlHSMpCs0+jc/TfGbLyLp14oLz9KSNpL0gCIIXFdxcbxYcYF4k+KGIl/37yR9IXu8j6QfmNl0xVyGt6q2rWo1e8cofvcPt8j3h9Nyr+KCcLvixP4mxQ35sSnPP1Lsh+cpgrEF1D+P4l8lvUP9Nb9PVQT//1Rc4KuLxlaKUvGPZmm/rripWk1xEc3z/Gv171+fkHSYu3883fjlN+2XKy6O46oxVLfj5RWSPpi996OSvuTuHzWzI1M+84vGqH1vlfR6K11qWM1sDetvyrJZqp3ILazYf6/Knvua2u+n0ojzXi1tm/NCpc1vvuKQ99ctq9gX23DFzVZ1c/klxTF4rRqOrY7n9uuy55ZX3NjIzJaW9GpJr3X336ZjP7+Jfa4i0K0KETdW3ISdaWY3KG7Cd8/Sv0hRg/CMlPfq3PRMxXF5j2K/PFhxrVlGcXwfJunLZvZTRS3brxu2z7cUrQ221OjzzYGKm6z9FDdd1Q3ctpIOknSHpKp54CaSPp699zOSTlKcD7+eHufXxSPTdthe0o/d/eG03bdSbLsj1Qt0D9fwc9k7O1xj7skCBpf0TTOr1x4trPgNzqk9Pyof7x7ncSt1259G7R8PKIKRL6b0bfdpSXqB4vf6RQrGv5k+ey3Fef2wKjh3967ddO6Q9HLFeeeiLN9rSrpFce3ZU3F++ItaXmPcfT0ze67iPPYuSR81s78oCi5+6O731fIxalt/T3Ge6mQc+ThaEeCvUyvEeLXi2PmpmV2Wpf+Umd1eW8fCimv+hdlzXY5xKc4jZ0japlZQd5CZnaa4Flbnki7r7nrNnbe4O0ttUZSgvC79P0lRAvOy9Hh9SQ9nae+V9PZxfs7KiovKfyTNUFT//iR93oy0zBywPDDez02f/ZCkddP/a6XPWiY9Xk/S/Vna+yWtn/7fSHHALJYeryvpwXFuu9vT95ihKG27Xb3Sntsk3dbxO+1f23aDlpmS9qq997+S3jcg36+VdHeW9k5FKWzbfO2jOPksXHu+Ctw+mT7zzJS/zQbk4zWSHsren+8Pjd+19nn3SHpryzwfqigxb3rtZElfSf9/J33+xgPyvF7+m6fnTpD0zQHrPkrSd2vH1xZD1v1Abd/bcEDaDfNtN5ePl4cVF0QpbnRmSFo5Pd5A0j3j3ffm9KLeMVPtQ4PON/9WOq7T+x5ou582fGbTee89kp6SXm99Xpibv3nH7ThNcXNtLbZ1p3O74qbz9en/typq3Selx+ur//x7j+JGUJLenPbbhQb9Lora9X9JWqv2/NqKG8w3K2oYrpB0evb6UyTtJOn89F2uVwRbz83S3C/pjS233w2S9h7w2t6SbhhwLK6SttkL0+ONJN1Ze/99GnC+VhSA3Fdb97Bz2aNqf405QdKpaZmpaHp6am35vqIZ2JK1fLXNR6fjdhz706j94wfpczwtne9X1NtPZyiCltXHcfxZ7fG7FQHac2rPLyPpb5Leqygw/LPiHNPqGtPwua9VXAPvU+zvJyrdK3Xd1rN5/hmVjwclvW3Ae9+hqHm6MC0zFcf7hbXlD4oC2pXGc4xn+/XrB7z2evXf33Q5f3S65s5rCzVqzW5TlEw2eYHiolK5QXEQdObu/1aUXJyoKAlZJ730oKSfKg6gd0q6tPbW6YoLV71JQ9VWd3mN7n80TVGlfIGimdK/vFf1/TTFjl/5l6IU87cpP3/yXonNcxSBS6XLtjtC3ZrDjfIDRe2UKUpt9lYqzcpMl3Sl1/pASVpccVFrsqD6m+M8oNh+be0paRd3z7ep3P0hMztc0jHu/lkz+7aimdsiA9azjKS7s8c7qtv2u01xomzjPYrfusnxim39IUXp97sUpZVNnqsoic1tqSjNbnKaopYuN2NA2qXU/31ulPRSSU3NXqYoarzHq8vxcqui5uT3iuPm+nSsS/Hb1psxLq72+94sqWav6Th/sJZuWF+XcxWl4aYIijdUf4mpFP0zH60997Da76f1/DWd914t6atmdryi5vfhQe+vmZu/eRcLSTrT053BAEcq9m1TnNPbntv/Kml3M5umOJf80t2rY+K5iqZUlUsUtT5/VtyMnpeta3nFOSB3qKT93b3vN3f3v5rZAZK+4O7/Z2aHKJq8V6/fL+nY1GzrQMVv+HFJnzCzM1M+/62G/XOAZ2jstqhcqv5azjsVNTqS9DpJt7j7P9Jj09jj5X5FYUiTmxXn88o9Gn4uu03SLup4jUn79UGe+ri2MCofN6vXJOxexc3o1Ho+Go5bqdv+NGr/OFBxY/xmRW1I1/uVZRU1tguk962muGG/opZuWH+25yuC4ldmT39a0oe91l/R3W8ys4MkHe7ux5jZlxXXsLbXmLo/K46r1RWtLjaU9C4zu1RxDe2yrWfHqHzcOuR7PKQ4htaSJDM7T9JuPrxJZ6XLMS7FdWHlAa89T/3XjS7r7nrNnbdMdKRY4qI4Od2iuPhUJSwvVfSbuEFx4qrSbqa4sVm+42csqij1+a3iJHGF4mZqZUnvV9yA/FbSgi3X9yRF04EH1a525eOKi8Gp6T0fzF77nKQLssdvVpS43K446W6avXa8pJ+NZ9uN87dZUb1+GKfUlyzdekol9C3Xe6Gkr6f/66VqX5P0uyzthxQX6QVarvt+Se8Z8NqOSiW6iovto4qSwKfVtt9Cin5/x87Gtnu74kT21BZp75K054DXPiTprvT/RmnfuEZx4cnzvJSihPTw2vtvlXTggHUfJOnW7PGZir4ak/J1Z6/lv/m+ipuW7ZT6oCiaurxW0v+avo+iGed26XMPrS/jPF6+qGhae1j63AOy1z6h6Iw93n3PFM3trlG743ztlO9rFKWhM7J1HyLpR+Pcl04ez36qdue9X3bIx8jfXHGOfmpKv9mI5dMt0sxasnwcJunIDvleQe3P7aun32+mouZq1ey1sxXNR6vH6yiO3Rnpd3959tqPlB0v6bmHJL15wOdurlTCrTifPpj+X1FRO3it4nx1lqLgZaG0XS6R9CdFEPU3ZbVsQ77jpYomlE2vHSfpkuxx1eR897Q9vpK99uE8bXruk4pmhIs07IvnSfp09ty31PJclrbJYi2+W9VP7C0d9o9W+UjrPkbSKzqsu8v+1GX/eKjtPp3es4PixvwSSS9Oz+2lCJzPV3/t7I1peX1tHXspzsd/qD3/oAa0HlE0S6325fUVNWqtrjG13/54RQ3WnYpCmDWz7XuuognyC0Zs63+o4bozaJmNfOyctvOytfcvq+husUu2P12lGMypzW/Y+hhP6b+mOC9tp9TCKH3mdmlf+Op41q2O19x5bZnwDJS4KC44P1dc7G5KB9kNiiDl55KeVEv/5fTaVYoSlL6llnZdxYXn3nRwHasYYaeeh40VpcoLKfrDHKtox75Ken1bSf+Xpf+M4kT29pTf3RRt8s9RlExs1vAZ2yvaiO+krOmAovnZu2tpn6u4GK9ae34XZReJrtuu4++ypiLo+Wda/98VNwvVZ/wmS/sM9VfRW8rrVyS9qWHdmytO2McoSvRmKIKozygusq/P0h6mOOlerWj7XT+hfqG27pMVQe6WShcyRU3J1umkclJ6bk/FifuGlP4HKR8/SfvWfyQ9qyHvqytqtfarXleUTi1WS3dqWvddab+oB7o/zNJ+U3HB/LCiedHi6e/eiovgESndxxT7+d8U++sf0u/xF0Wzj6kN+Tggfa9vKPbzl6S/R6Tf4MAs7QsVJ/B/KgKiGYqL0fmKC9Oqtd/4iJRmesrHI2mdRzRst5UVhQr3pvfckr3vDknXjud4UfT9/bSib99nlN28KPrkfWQ29r0Ppt/v4ymfBylumv+pOM53qq37D4ra+QVSvvIgcEtlTcqy4+YLigv8VZJekH3uK7N0y6nDfqqO5730/9PT+94h6enpuYWVFZC0+c3Tc2tn/w9rKuYjXs+XGVk+FlDsl79WHIfvry27DbnWPFdxDPctDWmX1NgmXi+StHTtucUU58rFa89vprHn7z8qAu767/VsxTH9+2zfv1VRc/mY4rz7KY298btQsS/OVJwXblWLa6OiWdjMtP12VfSDfl96PEPRp6VK+7S0L10m6bvKCp4UNd5f0Nhz8jSlc62iZvCk9PhGRV+o6v1PV4dzWe2YX7S+ZK/fqG5NxFrnQ3E8rd923V32p477xzVqeb+SnntUcU6v3089X1FDlDdJfaqiOd9Mxfn2xem3flhxDVqgto5fpH10zdrzUxR95c5Kj3dWnDfvVrtrzKdS+hmKwqZ3qdalIaV7lfrPD4O29fUpP22Wa7vkQ3FNPzdts1MUx8AjikKU09PfR9K+mRd43qbU7LbFPnShWh7jKf0iiua+VcHiPdn/31Ps2/n7254/Ol1z57WF4fmHMLPXKkpml1IcsOf62KFMv6i4mb1QAwYTcff3ZOlnKk5Cx0o62d0fqKdP6VZQBIBT1D+y2loeQ09/Q3GB2j6lv1JxQTpBcQJcy90vSq+dqLj5eV+2/oW91hSv9vnLeK9pV2dttl1K90rFje+qam7GtXaW9jeKk8qOiu84JW2LVykuvO9z91+mtGcphtXdMz0+SL1R+p6n6LNwQi0vb1Vsw+Wzp29SHOSnZOmuG/H13bOh/y3mTDlRMfCCKy6siyluMn+muMm/28y2VgRHf1bsU33bT9KX3f2ObL1PUdywbJ22x2T19o9TFDfhe2fpzxuRb7n7BintgoqAdGf1j2z2iGLgnI+6+3QzW18RPF+quFjU8/wdb27y8kFF371nqzdS4S2KUsOv1NKurAju6us+wN2vblj3yorSuCVT2t/42AErZGZnKG6wt1Fs9ymKUsdtFYPibO21Jj9zS4d97x+KwoEj1H8MLKDYly5z932z9A8phoA+Jw22kb9nPcXoiwuntGsrboxvUwwIsoN6+9Mhkp7n7ltn6366WuynKW2X896BKQ99o2CmfJypGFZ9/9r7Bv7maZ3/TfvrCk2fm1lGHaaScPfr02e8TtFsd7HBSfuGJn+ORozA6rUhsEdJgzhcqqg5/mXL96yhKNl/uvoHXZiiXv+ay8xsX8UN0KmK2tJzB6zvBMV5/PmKkvqhatfGjRW//csULUSq1gX7N107RnyvUefoWjb6ztcLqsW5zFqM/uu9KRY+qegj+AZvbo7Y9B3a5uN0SRfXj4kh691D0vfd/a4WabvsH0sqAu6R9ytp3S93978M+NwFJO3j7ofUnn+zoqnigoouGdt4w3QRZrac4nz4IsV1pcr3sxTHyJvd/UYze5/imnaBWlxjzOwmxbX8OHcf2KzazJZQXO/XUww7P2Z/TOei/d19x0HrGbL+kflI1/vJ6fvcMmKV7u4bpvcdrgjM394iH8ePSpMf49n7/k/R1/tZimbJF7r7v9L5o3VQ0rTuJyICtdlkZncralA+3zL96k0nlgFpfynpyeofWa26ydomfe5zU9oHFSfNC9L/b/beMKcbK+YwWipb9zmKEr4xgaWZPU/Sr9x9pfT4/SOy+kHFzeC/LEaiOrN+ozbg+22kaDZzrqIk/ReKG7NXK0p/fpefxMzsTkWN4TmKEphZIxiZ2Y6KG5SXpMe3SNrV3X+aTvq3KkpOq1H6Nq/SNuRrVfVO1lf6HDpIzOwFigvcsxQnzqnu3nnEp2x9RytKyd+lKHV9WL39YwdF5/wXzmael1Bc7Ko8X+Yt5sJque4FFIHJM9O6b/QOc8LMgc+/RdGP5yxFLcGr3P3P6bU9FZ2vX1V7T9s+oOPN09B9z8weUDQ9Pt/MHkn//ya99gZFf8dn177jR9z9+w2B2nsUNyIrpLR/UK/mdwH1n2+2VDQxywPJtt9pAUWTvL/72NHImtJ/QVH7/WH1RsGs8rGL4rh+Wdd8zE1mVtUkflBRQDT0ZjwVJL1MUSDQOKKZZ6N3mtkUxe8yaD6ht6Z0t0nazt3P6ZD3RdSbD686zi+UdLy7P5Sle3qbm/vZlfaXpST9r+l8YMPnTPqdu/99bucxfeZJGjH6r7ufmNJ+UVEz7IrrXX2EXvdsqoeO+dg45eEUDR7994os/X2KG/ifafRUGV32j9b3K+P8nsum/K6n2N6rKUbePXzIe95Qz7fX5vXqmIdJ3utj1ib9TEWLo782vLamGuYkmxv56LjuvRQtZ/6r5v3JfTbnrJvTrMM8p/MkL6Bar9RFLZqlKDqDtqomTul/I2m1Aa+tqv7me61HVlNUg78p/X+5ouNy9dpuiote/llXKvpZTa49/4L0nX6ZPTe0+Y/iIH5FSjtDqZlRi23xJ0Xb4vp3W0FRWrZ9Lf0dkjZI/9+i/pHRNlL/CICtR+mbVxdF0513Dtg/NlDWdGTA+8fdDHXIOoc2AXo88qEozd9QQ/oUpXR3S3pNti23zF7bsLY/jeoD6gOeH9mPrON3u0G9c8LVypp0KLXzr6Xv0udm1Ehz+YitL65vz+y1zSStUdsnHlX7fg+dR8Fs+5vX8tS2yeHItIob09e1+X4pfZcRWHdL+81tigKZ8+pLlvZwDRitdQ4cV61/8/Tcccqan9deW0FZn7SOaU+rPd4z7SMPKYKD1k0MGz5r4PVL0Zw0b852p1qO/qsOzdpq73u5og/nwYqCizF5U/M1uVr6muim9E9WDDDxu5RmWlr/qm2+y5Dv2HkkWEUt5DqKQHBgc2F16M/2eC1qca1L22CtAe9/t2IQj/y55yquM5cpavYvUzTDfG4t3Wsl7TBgvTso3ScNeN0Ug8BNHvB66ybf49xuefP6KzWgef2A9z5d0VViodrzZ0n6Wvb4IEXh67/S38ZtNa8sjPrYoE2zFPVGlvqqpF3M7Fee9pAR1le0t27yVMUJrdJlZLXfKvpz/EzRNO2LqWbsEUVTrpNq799QcaL+gZm9zd1nplLbXyqaAcyanNUb5jBJzfler2gfvrSkbczsfsX2WSn938h7pXurKzp6V31Dnpxev956I0p9J3vrFYp+Recpgry9LCZrnK5oRvfvLG2XUfqq7/QcRWngMmqesDaf3Pa5irk61pG0hOKifYGkL7r7tRaTNf7b3R9J/w9VbZPU3OVDGjxxrty9GgFtEUXw2mQxNYxkZdFM9FMp34um2tcLFM2anq7oc3CvmW3WIs9npXU+Td0mfR+aD3f/Uy3tWzV8e6yd0r1IsZ//34A85MetFO3eV0j//13SrqmmY4aiOW4+ItenFaXnOyna2O+uuEnYTrFPnq3efDhPUtxc3a/oC3CbotZwc8U+/qV6xjrse39QFDycpegbdkCq9Zye8lRvkrZveu4KRXMkKfp4PE9xg/jpLO2okeby0TsPV/xeTaXTaym+/2tT5h8zs+sVNzJtLK6Wo2B2/c3N7EmKDu3v1uDJiid1TatoMvpi9eYAGuU2tR+BdW/FgAG7+vA55aQI5N+azoudSsNTTdWC9ee9N4po69882UGxr13XkH4pxXbdcRxpO82Z1KJFiNz9yCr5kGRPUv+kza1H//XUOqUtM3uyopnpJukz71A0LZyUaq62yX6XDbqs26PZ8fGSjrdoMryDolXGvmb2R0XQfKrHyJ5ddBoJ1syeqTg3ra5e83epf3+t9tVvK5ri7++pttrdD0/n6xMlXWJmz6y2icV8r0Nl26/LNWZkc1cz+7B6+6cr5iirN/9fWHFNOCF735qKe5uHFftvNZfgVoqRXDdw97+l5Acr+gQ3WUrRvzMfBVPpmr6/ItCZrDhm/2Yx2vTv3P176buOud8bxsxWVFwHB3VfeWuWdm21nMg9tXxayFNTfjPbUHE9XVTSLWa2sfdaJL1M7ec5nfdMdKRY4qK4EN2iONg2UpQm9y1Z2sMU/aauUruBJRpLWBQXyH0kTcueaz2ymqJq/4XZ470UN3V/U5RePLnhM1dUdGb9ruKAuUdxEzqpw7baRVEq8qjazS2Tl0jeKmmj9P80ZaUeihLaB2qf9S5Jn0z//1/a7tW671VWs6kOo/Sl596mCGqnK0qyBpZ4KkpW71XcbB2nCFKOS9/nHsVJY6bGDmDQZpscqzhR/1BxMt6/vmRpf6to0iqNLcH8jlKH6Sx9NQfeZYob9Pelv5em796U5zYDKfxEEah+QdHc4N31pWM+8vm6DlGvI/33lW4w8iVLe6Ei4NpUMfDJCvWllo8PK27wpLj5uyfl62HFzdF2WdorFUFatZ3XzF47UdK3ssdfVhqGvfZ5lp7/au35Lvve89WbN2whRUHRTWn7/1DSMwacW3ZSBHbnKM4rO2tsqWSX2re7NaAlgaIZc30uq50V57Klm95TS9tlFMyuv3nrQZc6pt1QcQ34pGIggaE1deo2Aut9SnOjtUjbqTRcUTj4DUWhxGMaUvs7jt+8dW1Cx7Rd5ykc1SJkhqKA9DXpufdlj6tlY8X551/Zej+kDqP/dlkUfVDvUvSfXSA9V/WnvVPp+JiDn/c8Rc1UVWh6v+Lc8j/V5jCsL9k6Oo0Eqxg84g+K4GimInBYXtGX/F/Vb5rSvnxI3hdQFEjNqg2t/bZDWzWo2zXmJMXxeLgGXOsU17fDFK2FZqbveVhtOVhxP7NQtu7zFMFLvVZuUcW1Pm9tNfCcoCgsqR8D2yuO7xNTHvNz6keV1cp33G/WVMsB3lL61oNbKa5FO2SP/67oHvMKRYB/RvbaE7oF1YRnoMRF3Zql1G+qxtxkKW6w2zaLOiRb93LqOALgOL7ryoobvRmSjhrH+zdKB+ozFbUj1Q3NeoOW7L3nKOZGUTqBXKleYDxV0p9HfPZTUvo3q/kGdXu1H9Xy32kbt7lxGnlCVTY9wLBt0bBN7lKUnLfZ9usoblp+rbi5mKG4UfxuOnHVJyn9qxoCiPTaaYrO/9WolGNueOtL9t571WHy9Rb5yEdzuk3Sx1uu934NmEyz5fuXU1x891RW6JFee1C9C8GD6g8mN1bWtFhxczNsUs87xrvvzc1F3Uea22LAerZQ7cKoKDC5Wb2mSqdq8Iijm6v9KJidfnN1C7i7pB3U9GxQ87MuI7Ceoigdnhu/+cgbzy6/uaJw89q0zFBcW66tLTen1/7UIW1eKHm9UiGK4iYzL8jYTGnqkBHfe3FFq5G/KYL//HcbFNQ9oP7m9l1H/23VrC2lvUVpyPSG13ZRrclcej5vJvkRDQluUvpF1TxVxlcUBZ03Km6W9x+2ZOvrdL+S1l/1h51VSJhe+6Si71yXffndShOHK2oJx+zLat6vu1xj7lTL5q4p/f5KAUOLtA8oBptpeu2N6m+Kf5eykVBrad+qsYHalZI+n/6vF35tpmxKnOz4+JiihdYf0t99NHYk2d8ozoX1db5KcWxsUkvfpXn9g+p1TVgu30cUraTyQoKr1Wsuf4Cky7PX3qxa1595baHpY7PWzVK8RZMGM1tLcfNmiovClxQnrtx0RWndBdm6bzSzF6s3stq/FdXDp2rsCIDXKi6ilzR8/gsVJX8/GpDFixTV5Pea2aG9jx/eudnMqqrq69z9Vkm3pmrm07020eQAX5FUbb/9FCeDs9PjaYqLf/552ysbqMSjacav0mtLmNn27j6rqWT6P286WT2/a0NellTcDNzbIt9rKwL5B/Mn3f3B1Gn8h54NBJD/38Kd6p8UfCB3/73F6JqHKErFTdFc9M+KQKI+YuGLJH3K09mr5mhJP/U0uIyn0exaukHdJn0fmY/scTXyWxt/Vf+oiQNZjJD3dcVv/mcpjjdFE5sm/1VcvKQogHmNes3cVq6lnaSo8T1bY71AcWOSa73vWYx8+n5vmIw0DURylKfRu9JzMxTt/kd2Znf3u8zsFeqNNPeAYn88RmNH77xQccP4k4Zs7qKxk+8upf6JgZfSAO5+upm9Q3GzWzV3O0Zxc/sud8+3a+vfPFlO0lXuPsPMHlYEp5XvK24w3zeOtJ2anym+f9W880ka3ORUitqVo1NTzF+pYTJxH/9ANq+XtJe7H9MibZvf/ApFYYupNxhMfbLp6YoakzsU261N2lOy506V9IV0bXyP4txXeanipm0od79b0g9Ts+13K85Jpm4TkW+tuHmcrCgwHPMxipvdrs3apKiVunFA9m9U1n2iYzNJmdm6iu22dfrOpygClXqT84sUtRYHDshH/5ftcL+SLC7pdo9uF/eqf1LzPyptuyw/phhorKmJnXvWpNdrIzqP0OUa07q5a8rHmG1nZqspBkL5a+0+6SHF79ZkCfV31/i9pI+a2emeDQiXuk58RNFEObeC0r1Sg4fVvz+trAjen6EI0m5Q7KsHSdoj7avVueslipY0M9PjhSXJ3f+Y7gUPUXSnqXRpXn+f4jiQosXCXdl17GH1N6U/TtKhFqPvvkFR0FB5haLGb9410ZFiiYu6NUvZXqkUp+G1JTR2QIx3S1pqLuS5r0Sq9traigvNdR2WvJTydo1t8nC3osTsAc1GLUYtn6ZovrSGGibOVIeO3um5LnO6HKfoH9Umn/+r/661/eGOAa89X9GW+6Pp75hBZdL+ca4amqqOyNMiig7CAwfuUNwEvX/Aa7srhjCvP7+xonTziPR3o4Y0m6nDpO9d8qEoxTtFDbVvDe99XsrHO6ttUV9q6e9Ty/mH0j50aPr/Q4oboh8omsY8qP4S/2+k5/ZW3FQsnv5+VHEx/sZs7HvDjvMpkh7rkP4Vkh7JHjc2Pcv37ez/1yjOKX9RdPzfMv12f1FcRNftsv8O+cxVFaWzqzXtA+P4zf+tloMudUk7Nxd1r63LO+tfpSGd9RU3/W0Heen0m6tbbUKXtPU5k/LmYz9WhzmTlFqEZI9XUIdJmzt8znlq2awtPf9nReFqU/PpMyT9KXuuUzPJtM/8UVFbPPA6k7bF8dnjZRXNypYdkH7ogB6qNdVTBMNvTf//QdkgOIoa3uuzx89UzDFaHQNjjocBn7m4ouXJNunv4g1pulxjPqQOzV0VzcmPyh5vq7h2zFS0RHlV9tqJihrkdWrrWEdRSHVC9twa6f03KGp2P6xeDe/dGtsiZNbAUxpbk7WPYjTnKu0ZitreZWrrWCb9Zqdnz92hlgO8ZdujbfP6U9J+8YaUn3wAod0k/bO27tYtqOa1ZcIzUOKibs1SOgUP48xPfrJ5dXWyUZSCLJ+WmYoq3uVry6qKPjPXzcbnH6CxTR4+prg5GhOkKmrnjlE0cfprfZmNfAy76dxYWZOX9L2rk9a56XeqTkzfUNQQ5O9fVNEM6BjFMMqb1ZcsbesTavY7/VD9J+iZ6fEpqhUIKG6y7hi1741j+31NUaK1ndLkmIoSsO3SdvpqlvY5ihuwmYoT8KXp78z0O9ZP4l9W+0kvW+cjvfZFRW3M0OZFiuPkVLUcbVHRMfnAltuudR9QRZ+wwzV2hMgHFbXIC9bW3WXfa+zLo6yPq+K4H0+fmztUG7kve20PSY/Wnltf0XytunF6LG2TORKktfxduv7mXQLuLmnHBIj1Zch3GDUK23qjlizt2opj65qU//y8d4ikH9XW/SF1u/Hs/JunfXNNxY3bmhoSCHVJOwf2nWcrSvsva3it9aigLT+rdbO29NyGima+V6bfbS9FX+h/KYLiDbK0nZpJdv0Oipviqj94FRxNU62wTdFKaFAQt7mkB2vPfV4xnYgUfUynp/Velz5j7yxt6/5s2e/3BUVz3Lyg437FdaM+yXbba0zX5q7XS3pH9vgqRSufZynOW+dmry2pqCCYkX7TSxSFmjMUNWRL1tb9fMV14xZFreAtinP6mNE7FX347lVcY5+StsWaiprP/ymmNqrS3qvBTZy3knRv9vgCpaagipr2v6rXV/hXki6tvb9L8/plFE0r70uf8+zstT8pa3r+RF+YR62BdZsYeKYGz5OxseLG+unZc7drxIR+nkb1S6NwHawotcyreR9UtG1/SDFy3qgf0RSlKYePSDfbrMPcaGZ2nOIGd9uG9ZykuLj9THGSl6Ld+ZmKGr7cwooRL//p7hun93ea08XMXqJosjOoKat7b/LSJRU3+a9MeblVUYr9DEVJ5Vu8v1nq9xSlQrtL+rG7P5ya3m2lCBrPdPftUtqPKC4GtyguWLOaNWQZ2SBb97D5lTzfthbz4RyjGLxCabs8Jf1/kuKE+3BK+3NFqd3bPM1Vl55/dUp7qbu/MT3XddL3Lvl4pyIwnqnY1vV1u/fmEvy5eoUEg/JxYpaPjdVh/qGu0miMa6g3T1zjHHQt9j3V8zXEYYrzwv7ZewaNZPeQYluflPLxdUX/hvU8a1ppZvspmtS+z92Pa8j/oooL8F3e38Tq/S3zLKlv5L1qFMw3avB+XTUp6/qbP0vRouEf6fFeiiZgiyhuLA7yNBl3x7QzNfq8Pil/3DQKWzo/9Y3C1oV1nAvPzA5T/ObTFbU+d4/N9tgm8IN+84Z0+yiaIT1Vvf3wHkmfc/fDxps2pd9UUYu8nKTPuvsNZvYaxTx2N2fpmq65CypGxn1YMS3H2SntyJE+vX/i8mHN8Wbt02b2P0kf9qxpfraO7RU1CUvWnl9dUXO4liKo/K/ipvaz3j8v2kPpO/xiwDY6zd0XbXhtQUWTz2rU4su8Nq+qmX1asY8eq6itvE1xndtK0XzyIHc/KKX9cVrfuu5+S7aOdyoKNz7vQyblTteyLZSOr/z7mNmNihrhnyoKB2bdc1lMJr6uu78+S/81RZB6UEO+PyXpaHffM8tf22vMdYPyX0+b0ld9si4ws1UUweAa7v6PdK/0Q3dforYdNlHtN/cO8yI2SfvpNyTtqgj8qilTJikCnt2ztPdI2sndx3SVSfdOx7j709Ljdyn6q3/WYhLrcxSFTlLcv21dz7u1nMh9xPd5qqI/W97scyH15vtbTtLu7n61mW2ruF+Zd5s/TnSkOC8uisDhuLTMVG/iyHz5gaIU6pzaew/Q2Nqpryqqdq+X9Oks7dcUF5L9FE1/lkh/P5GeP1ERALwx5ePD6XG+bKQBTdLUoXNzSr+4RjcjaD03Wto+gzrEbq2o1dxZEQBcmNZ3Rfa4Wv6guJCslL3/AXWY00UxotDf1XL0uPSeTRQn/SPT30Ejot2nAR2Q0/e7L3t8u6LWpU0zjNbzK9Xet5riRLlP+tvUBPNBRZDW9P53qL9j891q2Rm7IR/bj8jHjYpSwsVarO8BZaWXLdLXBwsY2qRsbi0t9r03KYL8PVK+DkuP82Vn9QY7WVrRF+6FKf3b0+N8WUW1UR/Te7+tqC2uRtH7vNIUH+P4XvXtO2zJR2HbQnF+e1SjR8Hs9JvPxd9wB40dsGAvRUHV9aod/xrnKGyK4GtgbZ06dNZPz9W37cBtPY5t8qF0LB2hOOc+P/09In33PceZ9pmKgOUxRXCe1xoeL+mbtXwcoJYtQtRtpM/WzfHUsRVGx+3cuplk9to+ihZDeS3ZXZI+Wkt3qwY0y5b0WWWDUCj6Wp6puEYvlZ7bVXEc793w/uU1YA7NtK7ls8f3qXd+u1vZXHmK2sf7au+/SxEYN637I+pvfdP6GjOO3+YmRbCitC/dnL22sbJBP0Zsj8lq2bVgRH6epwhg90u/TVPt208VfbpWqD2/Qnr+x0PWP3SAt7m1qGMLqnltmfAMzIuLxhk8jFinKarC98ue63KyWa/LiUYthpjP0rZuRpDe+9r0fWYoaxKjqEG5Mnv8sIYPMVu/qThPAyYLb3j/HZK2Sv/Xb1jerlp/LM3BvnYNefmvBjd7eYP6h57+n1pOnKu4cThGA5pMzWaer5O0+YDXtlB//4Gb1WHS9475uGfQPtKQ9nJFbWbbda83aqltj2sHLNcomnMcrzQyoLqN8NZ631PHPq7q2OcmHbffVVz0jlfc+DdOIKwoufycoinPnGyi+0/FDeYSc/o3n4gl/e6H155rPQpb+k0+pl5QMrB5p6Lm9p0D1vue/Lgd53dZUdFXtek3P6WW9mpJBw9Yz8GKmq/xpD0l/e7P09ghvt+pGABmvN+vy0ifXYaX79SsrWOeWzeTTOk/pPZB8b1q6JecXttIY0cXXEgxyNIlioD4MQ0YxVgduo2oQ3+29NwdGj7y7p3Z49bXmHH8Nsco7g93V5xTv5K99mFJl4xne6TntlZUCMzpLiYrKq5r0xWFAKcrCuCnK+45Vpwb22pAXlp1o1Fv/t/FNfacsI1mo8CphIVRH5PUTOdUd7+9TZMdd18rve88Sbt5wyhsXbi7m9kxipujz6WnZ6o3iW7dP5Q15/BsZEEbPXGpFLVef5e0qfc3V1pU0Qzsi4oLgBT9j4Y1I1hYMaS5FBeGBdL3+a9iRLxqBKJ7FU2ZKtcrLhDnNny/16g2upJnTf5a+JWk/czs14qAUpI8VY9/QGMnbf2rhoweZ2aL+jgn01RcAPc2s9+4+6zRRNN69lbcyFVOUGzXNhPnPkNxwRo4Ca6Nc+JtxT54kJld5O6zfgczW1ZxAT44e9tX1W3Sd1lMmP4+jZ0w/GiPEdkqpylGhmvaR+o+KulAM7vY3f8zKrF3G43zNEUTsUUUv83tipqrjRSB1lRF89vtzOxDihultiO8Dd33ank+cXSqvvTXm9nk1Pyjvq1/XN930nH7bsWcSFspahDOq6/XzHZTlFTeobjJHtPkcDYsJ+kD3tBMtEGn39w6TCjfJe0IP1b0Ud0re24FtRyFTXFu3VdRKHawoiZjhqLga0H1rhdS6ndpZn9SnF+lOO8tpTjX/LhFfhtZjFz4O0UNxKqKm+enKW7spikCydxyisK1Jr9VFDaOJ+0misEBrjGzSbW00xS/VVP+F1fUMldNyv5RO9dU+Wg70ud6iuZ41UiV5u43SPqcxaS7RyqCAnk0hV+nS7M2M9tag5u1y9MkzO7+GzN7qaKZ5Dbqbya5pY9tvr27YhqgT2TPXSnpfDO7W7G/fS09/9OUh6Z9dStlE4unvDxiZm9S3Dh/QvE7fb/p+2lwk2wpvm/eDO5MRQ3UKYr9/3Qzm6aorVtetREiFYVN71XzyLs7K4LsSpdrjMzsuYrzTv18+kV3v7aW/COKQHJXRbDx6ey1LdQ/ImLr7WFmB6R1XaIIBIeef9O2Oj/l8wJPzbmbuPt/LEam3FG9ffUKxb3pCZJeZ2Z3uvu9qfn2KD9X+6b78l4Xk7wbzTpq6EaTvW1dReusuxvOCbem7zDPIlDr+YbiZut29Q/328SVbq47Bg+jPFf9AVbrk01qs/s5xUn1GWo+6PMdeG2NGGI+e/pdipq+L2fP3Snp4HQx+6R6gdolihK6XykOsI+b2U2KE8lBipqFygmS9jez2ySd6O73m9lT1GsO1zS0bau+K4oT6R8UNw+/Uvxmn1Y0+1pQsZ1yH5Z0QmpT/huN7atxn5lVw5zfrxEnHjP7Uu2pVSTdaGa/Ui/Q3UhRY5EPZT5N0odTgNmUD/feMMS/UMydM+wC8w/F6H5/VS24r2c55Ttvl76kpH+b2d+yPL8s/f86RWdqKdqZv1zSlWb22wF5nnUhtW7D/54t6ZDUX6hpe8jdq6D7QMVF+yoz+8+AtGuP+eLt+rrcpugI/kZP/efSexdRNH2+QXETeIbiOGxbCCKN3vfOVzQZvsLMxvSFHfYdzewZimZbayg6+9+qKKXcXdIlZracekMr56rCnh9G94ZZ664Ck70VF+5dhxUU5FJePqLett7C3S83sw8qSker4cH/qDiHtCms6Pqbf1NR63K6YlsPu8HpknaYtdR/0ylFsPPStN66KeoPenZWFI4coQjUfurR5+wzin1vlSztvorzwRXqDTl+lKL26TpJn043V79ve6OVHV+HKW5qd1TcIO+U8vEqRd/SQ2tvvUFxc930O26k/mlIuqSVIlBtspRqU+vYkL7eZnakpE+4+6PpuS7TcCyuDsPLS5K7/1L9N+eNut6Ip2DsbcPSZEYFxR/N9otfKIY9X1ERtFXXgS0U19LpA85JT1E0n/9gOr4r71X0yaxsloKC3MKKQrGrqifc/ePZ/79I+1xff7ZaAft/JG1tZpcrzslVvjdX9E38Ypa29TXGOk6z4O73qDfFSH2d65rZGhZ9FDttD0Wt7yHuvl/TuhscrghmDpK0pJndpbj2XpCWqfl53KPv11Fp6WPRL7i6p/h5/fUaV9wbVvcdT1JcA+5XnFdvU2y/zRVjCuT3TQcpCoE/pjjffCqdb1ZQ/Ga/zdI+rNgXmiyjht90XsJgInOAmS2m2NEGdSjeJ0vbVFu3oGLepXcqApnvZs/vraiabzzZuPtX03pPUgQwVVX7qE71rTs3m9kdin4gYwJGM3u9olZnifR4M0VzzyPMbBnFjcRLUvJpipuzi1LaBRQ3+zsqDuQHFAerped3y2tozGwLxQ3BpLQtBnb6Temfrt6cLnmn1TFzulgMBiAND2SWdvc7zGyHIekqB4x4vTHfWT6Gpa1KnNZTbKcfaMD8Sopan4tSELy+huf7cMW+1jbPG6Z8XNcibf67nKEYOGMTd78pe34ZxY3Bde6+eXquy/Y4vkWm80FNnqk4rtZUXNhXUm9Ah+MVTW93S2mnKUZWq9fEyszeoOhg/Wwze4ti9Ks3uvuZDWnfqGgW+OTsuTb73srufp2ZnTAkXdN3/J6i5H9Lz+bVs5jb8TRF8+rWtSye5gUys/sUTQ7blkKvrdhHb1eUhO6g3rY+RBGYvTMlf66i9uLLGjxvWFW73fU3v0vRn3LMDUhDnrukrQcpUu+8/lpFk6e9s/T7KprIvV9xA3yvIqBbXFFIdpC7fy2lfUAR9J9vZo+k/3+TXpu172XrHtpZ37IBsKw3CMqg0vz8+LpT0Wz8HEWgtI6ngYbMbEdFk7mXZPnYQ1Ezc5xiDs9q0KVtFL//nt4bbKNL2jPTtt0kfdSjiiaKf0+vPeDub83y0WVgiWMV06vsY1Ez/kVFLc4jiqHVT3L3nVLaSxUFO6dYDOJyg7u/Pb12uOKYWyHfmBYDGK2t/hq1MbVVFoNnfLfDjXj1vmWrdXvWEqKW5ipFsL9Pw2uHKgo5Z2p4DU+uSy3/fxSFDtLw/e46xeBFv075Wl7xnR6tJ7QYAObZGjs37TD5ft3lGnOeop/ooEK4mZ7NYzmKme2v8W2PuxVdO1qdf2uf+UJFDdVr0t9lFH32n1JL93z1atRuVtxH/CsFSv919+np/6E8m5PVzL6sKFjbpnZvV3X9ucndP5ieu0dRoP4bRRPa9T3NM2xmb1OM2Pz89PhkRYHVhoog8FHFdf0KRWD9z+q4nSd5Ae0v5+VFUcp2i+JCW7U/n6440d2hWttYNXekf0jRfOjQAa8PWvI23HdqwIAVA/LdunOzYnCLUwes50eSvjbkc0xD5kZLaZ6vaBrwCQ3o4JrSte67Mo7fcQeNHQygb5nofa0hz337Qm3p2z9KWtRt+N8VRi2zkY/WfV0UJ//3DFjPjkqd2RVNaGaqwzx7c3PfS+eFxsE20ne8M/2/gOKC/ZQO226/Dvn4gyIgWaBhW2+puEmp779N+3Vfn6xxbI++ASHmYNrrGpZ/KgLN96vWj1RxXjwifZ/qevGI4obkiFraG9QbGOlqZfOEKU1p0XEbrKB0Lu5yfKnjnEnp+Z0VBXTVbzkzPR5zrWqbVlFzfXfavp9LaY9U1Dzfqdr1Q936eneZhuMQtR9e/jnqNt3J3erQb0oth9BPaatBiY5RBLsvVTTRPCbtf59ss1/U94+W+XySojC2GiJ+/fQ4X8YMqKG5OA1Sl++oFtMspN9z9fTchWroW5UtF45zexwl6bBxft+VFdec4xTnk5mSrshef6paTCek6I/4CUkv7vDZ/9PwvoN3ZI9vVeofmfblHbLXNlP/gGbLKc6TtysKrmcoCkyvUgTwzxrv/lHCQtPHxFr038l5r9334Yqma9sojTSoaK6wraKfyra19y0wYtVjSrlaekC1Pl0jfFhR9fw7i+GL60PMX57V/v1H7ZsR9PE4iq4elhF3v1LRRn6gVPu2iqK6f2TfFTO7VhEMXNLw2gslneFZLY+7nzBqneNd91zUqdmtmc1QTHg7pqlKatLxV68NIT6XuPqb4eYWUH/fy+sHpGsl1aquoChRqzc/69LX5eeKJkD3SPq5R2nigorRrQ5VrwnIixQ3hoeY2bXu/vssL+sozgk/yz+oy75X+26mqDH5XzrOmiykGDGtyX3qNbVeQHGcV/1LRjlC0tGpNHtQrVfeN+ZlisFpZqZ85+5Q3AS8t8Xnzq6DJH3EzH7naWj9OZHW3YdNrdCU3iXtnkqYX6doZnynYuLjq2rJ/6Ao2T5LcRNygMXUD9MVzfkaS9VtcF/l/Ji61bOmvA3ryI+BKxQ3eecpBhfYy8ympnzsowhs65/1bYu+18spgqD/SprWtL9maWfVCjWl9RjafE1Fq4UdFDdlWyq2w07uXr/edOnrfYsigKoeH664xo/h7vtm/zc2x8uSH52+06xaSEmy3nQn31Lc6FdOVpyfRtaY2PAh9L9mZkt5GkI/5fUbqWZ2f/Vas5ii4HZXdz8mW/ewmqzJSkOxW0w3c49idNifDsprWk+1rlH3Qn0fJ+kIM3tHw+9b78/WScdrzEOKY7XJEoomeJer1/z2co1uAVGdW7psj99IOtGiv9xpGt4loKqxXjctS0u6WNHk8aOKZtD/y956pKIZ8vZqnk7oSEnbedTOf0IxSE5bkxStDJq687xA/dugdTcad7/RzF6sXguqfyuOt1PV0IJqnjPRkWIpi4aU3mpITYXipP5GxQ5WNSmpXttT0h8fp/zvpShNaKyNGvK+xiHmNf6aveM0YMQ3pUl9x/n9JilOeId0+D0HlcCtLWl67bnJqg1XrjhZfUjZCJjjWXd6fg1FKdW/FReVqjbhYEUziirduspGW1TciP9AcWL9kgYM3zsHtskrJD1Se+456jUZOrS+ZOm2UtwgVY9XUgT7dysuIovX1vtTtRz+V3FSz4+pRRSl6D9VDDiRv//AfP9QGrZZcdzeJOkFtfT3Snpztn/ltTxbKQKgKu3iioKN6jxxt3rng9PVm4R+a0V/gi4Tl7be99Jrm6Xt+0ha5yPp8ZiSXsUF7vfKagLS809WBAC/zp67RtFcq+2+1Lo2V3NwNMK0/y2b/T90aXh/6wnlu6TN3mMaMoH1OI7b50vaMP2/kKLfxk2KwO6HyobBVpSGf0Nx0/1Yw29T/13O0eCWDs9TNEOuHr9L0iez4/LGbL33asTIr5qNc1e2jvGU4n9FLVuEKEa7a1y3oibv2vHkQy2mO1H/JPdbp7wcn17frL5k7289hH7Dfrqc4pq1nDR2Shh1G5nxRg0YIXacv/UaimBhe8X5whX3KNtnyy6KPoQXD1jHqorrwLDt1+UaM9emWei4bartMfKeLEv/gKJ5ceOk5FnaLtMJnacBtdUD3v+NdCzsnX6bxdPfjyqC229kaTdTzIUmRaHp37Lvd4OyEVmf6As1aj3jHRRkYUVTrZmpDf9zstf+IenF9TekEuVXa8QkmR0to7ip/7XFZM93j13t2IlLfUDnZh9d8zfIRopSjSanKfqdjJdL2tLMqiZFd9deX0z9k5Q+K5UI5hZWdLq+qfb8DxUlgjtKkpntqbjAPyJpksWkmH8Zz7otBqs4Q3Ez/R312qQrrf8Dir5ZUq925vT0+KuKEqKfKEqPH1H0bemTahzH7EuKfWLF7PFLU+lYPd/vVjTZqdY3sj+gerW/1XDdla+nzz1EMUJa1ZG/8iFFieDVFgOVVLW5ayou9vn+c6Riu/05Pf6iYjtcIOkLZraw9ybDfafixqTyJUWQcmDKw+cVNWCVCyR9IPVryb+XFPvBb2Y9GaPDbW5mL1AM9vAsRfAx1d0vz9JVg7GcYu1HeBu1723p7j9Pr70vbZNzFSPOVaXnW0o6w8ze7+7fytb9EcXF9EYzO0e9bf16xY3a+lnaL0j6hJld4O63N+Qz1/V82Xo0whY11nsp+rBNUwTFw0qs8/1UFhPKf1Tx2z1Z0RSrUZe0Kf1mqk1gLelvZna0pPO9YQLr1A9k0IiSZ6W/s1oceNQKfzAtTaqamYF9lWtWkPSjtI/NGkwg7ee/UjTRq/Lz3ez/f1pMcPuqlPc/u/ttDd/vVYqb63UkLWpmDyqOu894b/CYKu1zNGKgKB9fKf71krYa0iLkS1nrkRU1YKJrxUAky6bMdM3HraoNcpJ5SNEkrBodL69xXlFxbq7LWyUsomj22eR3iuvLLKkG7hiPgZJuTEv12rMl7ey9GrguIzN+S9KeZna2N9TAjcMWGtt/a8wAY0r9t/InUgupH0paXc3fId9+Xa4xo1oi5aOTzk0rKwp936jBtcW53ZQKgSW938z+odhnzlecm/Jj9371RjKtu1kR8FX2kfQDM5uuqPG/VbXzsfcPWPdhRY3qQYrrTeURxf6zT/a+s7L/b0q16M9T7O//8trk7E9oEx0plrYoTtLvlLRKy/R/lfSu9P+vFCWUCysu6t+XdHUtfetJMjvm+zrFAXKTWk5cqriZ2FZxY/399Petmo2SYEXV/9+btp8a5kbrsN6qRm1Y35Wh/Vpq6faqrf8mpYkp0+MbldqAK07kN87Gui+W9O1sm+e1CW9W/ySYdyoG2ZDixmBWSaxipKd/Z2lNI+ZXUlzo8nwPKoF7QP19TrrMZXWP0txviuG6pyvV7ihKg29oeM+Civ6IxypO8McqSkcXrKW7XamUVnFM3aO4kZAi4PtnlvZBSa9J/y+nrAZRMV/dbbV1d+rr0mFfXUAR5LU9h4za9/6UvXa9ahP6Zq8dNWBbV0HzuYqb93PT912qlu5U9S7E56fHI2uQWn7HpytKRB9W1OTNVBR83KFoOr5YlrZzjXWHfNyu9hPKd0m7vTpMYK1oIvsPDT4mx3sduFPd+iovozh/nKKYVkWKgoj/KQqHWs/B17DujRTngssUIxi+L/29VHFj9ros7RZqP8l511L8Lq1DXHFOXr62rKooZLxuPPlQ1ERcolpthiLwu1hx7luhy5Kt4zsafk74fu25kbVk6q/JOkD9tViNNVmKAOfm9Pt9RzFKaF67/YWO+0+9P9tMRcHA0P5b6b0XKAo3Nld0mRi2/VpfY7L3NLZEGpCXYfNNntJlm2Tr7GuV0PG9Kyj6th6tuPbNUP919JNp316k9r5F0/OfHnBsNd6DDMjDEopBrrZNf8fcZyibh7DlvrK3Ili+QVEY07eMZzuXslCjVuNRUlZ1sh3atyo5WVGC+l3FAXu2ep0vJytKZnJfUpwIllPckL1cUQqxneIE+IZxZv15iovcm7x/jqZGNnrY7o19dKl6k+sV22Oxhtdeo2796OpccdEY1Kb8mYrSJVMEGXtrbN+36YpJt+vDPS+p1DfBzF6kqBmtRns7VdHs503jXPdqKX31HXL3Kk5alQUVNyxS1LpOVswhI0XH2Hw+kD01en6lMxTNe0xxg/ROZaXkWb5v8P4+XMup/VxW+fdaL+WhGtJ6mqSlzew4RSn6dRZD3//NYzS9USPqPVmxjaRonvlk9Wpf/qa46FTuUwSKUjR3uct7/fEeVv/Q3PLufV3aqmqqtkp9fJbQkLnLNHrfe2ct7Y/V7DTFeaSPR/+DfccmH2Mp9e/TS7V4z8DaXM9KUt39LjN7hXqjET6g2CbHKG5gFqrVULeqsbYYofZMb+iDkPpxvdH7R7Y1RR/D+nHY+NU6pP2EIrj+eOrveHz22uXqHf+V4xTn6zcqAqV66fARZrayu//bzE4Z9eHeG+WwU19lj5Lq1ylqXk60GPXwdEXtzvbuPiNPn2rj11NzLaB7b+oQKc5JZ6g2wptifsbTFOen6jzxOcX1aIcW55xOpfg+onWI9Ube87T8ZFBS9deYdMnHxho93cnrem/zvr7tI4waQn8f65+Gwer5zCyrOFeeUOVF/XN/5a5Tf03WVurVsK3bkN7VMGXBIJ71Z0t9YR9VFPQO7S+azkevVAykcvqwtEmXa0yVt7bTLMzN+SalGDtgd8X1end3v9pizsxL3f2fA96zeG0x9ffHfppGTCdkvVFuf6EIODtJx/jvRiS72sxuUW8KgQsU36tp3z1csS/+XBFMPrFq2yY6UixxUdSS7TzO9y6nKD3bU9noUdnrNypuBqs+bWtnr31S0tnj/NxOJSyKOdhuVAyRnT+/lqJE4rvjzMd+Sn3JlEaQU5SIvV9xkO87t7+folZ0O0kv6rD+6xUdZKUoAc9LcDdT/8hg6ymrAWix7hsUQ7uP+R6KwDgfXXCqUj8rxcXyd9lr2yo611eP/5H2s/o6F1AEd4fU8rGCWpaQK26adm+Z9nzFjeeTFTdmZ2WvbZe27axSXA0p0W1Y9z8k7ZP+/7KkC7PXtlTW/0JxwfiDorDjMknHZa/tpoaS0bmxKJpFevpNrlUMvHBtevx3xTQP4933fqYYErzpcz+bb/u5/B1H1uZ2XN/+GkeN9bB9SQ2jwSlK/RtrHxre3yXtw+r1I6sfjxsqhr/O09+vAaOfpdfPk7Ra+v+36fHAJXvfh9IxuEDH7b+yIgCeIemoAWk2UNQ+DKqNqm/rhwZ9R0XT24eyx/crq2EbkddxleIPWd8qinPGG9M6r1Zcw9+QLRtJWn68+Rj1+zUsXfpNdakt9JS3qYpa/3z5o6Kw68fqr8laTy1GIpybi7pd/6vWNx9tue7W15js+YUU04isXl9q6f6tKIyaI/1Vs/Wulr7jfYqCxRnqnW++oZiKI0+/r+Ke4K6U9rb0O++lOE8ukKW9rsMypqVWQ143U2+kyDF9BetL9r41Feez0xSFIDNT/s9M32edLO2tykbDfaIt1Kg120sxAe1/Jf3SW07oKsXoM5K+3fRaKul5tmLggNaTZHb0eTN7nqJk7JUe8xQdrBjZJx+FajNJe3g2t1LK/4Vm9nFFM8jxqGp39lFMnFmfG+0LQ947StwhRvvzNRVB8XHufkv6zre6+30etaLfVm+enTZOVbRHf7FicIN80vOXKqtddfdZJUFtahMUta4HmdkVipt2KfrnrKr4vY/N0h4k6VQz20lRsrV59tomihv9ykqKpiczzOxRpYla0751pOICkY9Mdn3K82RFc56mfFcj9X1Y0vfN7H6NmMtKEZz/TNHk635F6XHlLYombpMkrZ+2gUla2GLumUbZug+X9E0z20bxO7wnS7a++msH91LUbJ+saE70iey17TW4H8ec9qXqMz3rl2S9ucu+rKhZqrTe9xSdwY8xsyU1tvR8U0nvtf4RbK9W9GfaUs19f+S9Say7aFObO4uZfVex/X/vzSW9P1DcPHatsR7Wh2ZJ9UrKK9PUfkL5LmlvVPsJrKUoDKzXGOYr3iD7f/1B6aSY+8r653F7sWLy+fOa8qzB2+wiRU3Evdn63Ht9m49QHFd7KiaDH9UP6W6NnSS68rxa3v6o9pOcVyMVzhEeNedXS5KZvVZx43uRj26Z0jof+e/ZRvrt2vabajPi6GbqjSq5qaJVT73mcrqihuRId38g1Z4epxhkatQIqY+HLr+5S9rRzE5z92tHpG19jUn9KI9WbMO6qqYyH0H4GYq591rfQ7b0lfT3DYr9JK9B+p3G3mftqth3PibpggHnYEndR7BtoT5B9rBz0Kzt5zHf7kVK39ViIvDXKLpTfE7927pqMfSERKDW7KeKZlKnK26o79LYJg3jubkxxY5VXaAvVzRrqob2fpPGnjzb2iStfymNHrBCaj9sd1dVqd1WiqaISyqq/ZuGne7KFDV1r1M0g5isaH5wi+LAvUG9JkaXKfoVjKper+yr3qSz31T/jeaaio7JkQkzUwSiO2vwRTI/WX9KUdr2O/WGfj5dUfNyTv5Z7n5G6qT/UkmX1bbZn9R/MrpDUeopxXfPbxSfriiFnSU1H/maIqAa1GG+ynf1Ocdr8AWyOqH+PjVTW1XRh+7uLM1xipvUtyl+u8+n9Z03YJ31dR9rZlcrfpd9vX+CzzvVu2DJY/LsDQes7/XqNSmdxcy21vAgZu0R+WyyqeI7XpE/OaQQpL7vfT57rW/fU29Y4/elpX7Rq5rjVDcN31SHJiFmtpiicGDQQEdVZ++dFeeYIxSB2k9TodBnFEH7KrW3Lq74/Re3GHTp9+o1Z/lb7WZ5g/Rc4/nJzDZXfwHGp1LH/tzCiuZXF9ae/3L6u6ya95Vqm3VNe6yk/c3sVsX1I2XVXqs4VxxUe+8ukk5Kg2s0BVT1wp5htqk9rprdbzQgz8OC2/tr63P1Cg+XU0w8PfAmr+ZURcHhvZJ+5L1hvrdW7DPfzwprWhcM+Tins2ip77ulc/3OivP3ue4+a2qNOZEPM1u8dr6svFCpwCedt7eT9CGPKQw+pDimD0v5aDO8/DfTUk0S/5lRAUz6vbZVtL5pJW2vOT1Q2qzVj/jsC9W7VpkiSPqXmf1HzfvT2ulv62uMovDzZYr9tc1gPb9QdG85d0S6rtZVfNf7Nfb6fKv6u0jI3Vecw58/S9pHdtaA31xxj/Tf7P+u619VvakFXqNoGXS54tpR+baktyvOHU84BGrNjtAcLLFr8Ir097OSTjezaYrAY3mNv0bt4PR3Z8VNdh6oXawoUcn9WdLHzOw3eWmZmT055eHPmj3Xu/tPhiVItVG/lvS+dKNWlZqsppjT6+Yqbao1OkZRMvhaRRO3/Mb7LEWQVgVqnWpF0+v1m6nqtS1rT3WqTfDo+/XGdNP2WkUwfafiwj/mxJIuoGMuou5+dO2prvMrfVpRqrqTYvCY3RV9WrZTlHx/IEvbqdQ63VRf1PB8NXLTQRajK/6foiDhs2qYd2nAuqvRqerPH9Ahf/WaFZnZAYptconaXXTbGhQESw2FIB33va6jLZ6iuPn40qiEZrayYp9aVFELfruif91kRZOTe9Qblatrbe6b0mesobjYrqPo73OYpAfN7M/uvlFKO6rGelnFYByVlRWFHrnpikKQfBRQeYfRbLukVZRgL6cYTKTq1/VHRYHDt9z9a7X0/1P0Df6OBpskSRb9O5/sDf2WzOwkxXnk8ZiD7teKPs1tar2kuI4sqdgmJ6YgrCpYOknRHDm/LplaFAzNSmy2uCKgqUZV/ceAoKeL49QfEByoaDFwjaQ9zOy94wnQUl+lxdz90PT4JYrCk2eb2cWKKVnyvoWt+02lgr2nufuf0+NF1CscPNfd+wqG3D2vMRrlN4pzzm9bfMdnKq45q6u/QCD/PYcGasOu/xo9z1g1Z5kprou/V8uC7w7XmFcrusW07ZfVdb7JPoO2h+LeZ/tUODap9rZlmj6nLTPbSjHdzLHp8UqK+4XV1eu/fXd67R2KY+YERWHWcYrf6c0pD9/JCxJaFipU+fiR4jpRDUT1e0VTyAvc/a5a8lslvTPVRDdt57z1wzzH3OdmPIJcOqAelTSlalaRmkO9Rc2TZDato/HANbOHFR3nf13/HDNbXxGsLJylf4miJNcVNzRjhu32huGxW37H6Yq+b0ObjlgMW72zYj6Mv2Wld5MUJUWbeP/koP+T9EF3/37Dd9xAMdH0Yint7YobzoXTdxxaK2oxcetxkn4w6mJvMbTt0YqTcJ6HBRS1CZd5mgw1lSBfqiiJHtn5OL1nDUWzvSka0oTV0tDe7v4bM1tIEThurbQvKfoy3Jat98qU5oSU77VS8wKZ2YmKjtp9wxy3ZS2G1s7SHi/pIHe/rsV611WMCHV6eryUolawumi8TN0Cylk1I2Z2o6Iv5n5t39+GmZ2ruGi9urb/PllxrD3k7q9reN+mit98OUU/tBssBl65pnaR7pKX2xTzl40saTSzMxQX2W0UAfwURRC7raKWb2tPTaXN7AbF5LhnpdLoo6pg0My2U8yHs/iQz1pREbDtmP66p8nW29RYZ2nPUwwa0LaWp7WmgqQWaT+raNZXFcY0tiQws58rmhkeo+bBROTuJ6a0NypGFzy1YT1bKyZ0XT49bj24Sjo3nSHpc+7+22HfL6VfWhFgVf2o7m7I85ibznTNWlu9Ca8vdPd/mdkO6nbsVttjsnpTfuTNpx9UBAKf8HEOD28xeMEzFPv+xYrr4mHufqiZHagIqF6S0t4+Kv/VNcaiyffXPAZQkpmdrzhPflkR0F7u7rMGAkrXmO+kz/2ypHXdfa302paKvpPPTI/PU8zX+on0+Aj1mkm+RlFo+39dtoO775jWtbFiHz1FgwdMuSKl/Z7ieH2rBgyU5u6zCufM7Fvxdt81PR56/W+r6T6r5ftW1eCWFWelNFcrjsWf1dMMWOfMfDX1l9V/3mu9PczsZEWrhQ3Ta48qWl9coTg2/6kIlrocX9W++nfFvnd4evxzRW3ZcYqa3LPcffcs7Y8UrSXye6HFFPcgP3L3L2bb4z+KFiInu3vejWOMtO2qgW1+obj3qQdoedoRX8/rAe28wwvoKDe/LOo+4Me3lHXsVtwwPZrWca+kV2WvtR6wIntPq2G759Z3VAyikOfzKkUJ87MUzWbOraV/QL2h6+vf8c2S7s7SHqC4QA1caus+UVHb8ZDiRLKx1Dwsd8pHNQz8I0qDCKTHb5D031r62zRiMtgs7abpN/6degMsVN/x05qNwSIUNzLrZv/nw2NvrGyC5+z55yiase6c/j6nIU3robVT+uMkrTQgjyuofxCQPyluvKrH31dc/I9SNP38Z9pXqqWqnf6z4ib0z4qb4BtVGwpZcaP52vFuzyHbuQoe71H0l/uq4gb3TkWBwYtr6Z+p6Mf3mHqDc1S/+fHKBrRQ3ESulD02RTO6ryhGfK3n5eB8e47I9y2KYLsa6CgfzGBPxc1g9fik6hhS1Drclz5r/7S/n1Zb9wsVNSg/yH6jqv/BVuqftPmDaTt9POXjoLTefypqYXcakH/TnJ1ouusABl3O7Q9IekfLtA8P2k9Vm/JE3QdXuavtMaA4Ni9Qy0nO59aiKKh5WFHTtZqi1nc1ReHWw8omsB7Huh+qfkdFrcwMRWGYFINq3J+lPUBjrytfVTS7v179w5jfL2mD9P/Sab3rp8dbKpuiJT23k+K8daHivPCu2vf/VfZ45PDyaT35Ug3OcIuiIPGW9PhWRSFwte4xA8YM+s3VcaC0tI3ekT0eev3v8BtOSvlrvOYqamCfkj1ePf1m1XcaOEiOonnd75UGx2iRl/VGLePZHorCvBvSb/+DlPefpPf8J73nAI24B1LD/ZA6TLej2K+r/fjR6v/0eAtJ/6ltjy+m/M1IeT1IDYPupbSrSnqv4t7sOsVxcKmiD/dbJT3r8TjflLBMeAZKWRQlRitn/w9dxvkZ1cX85YqblmMVJeyrpNe3lfR/WfouB+6hipPtOtnnvDTt7DeoFpjMge21mqImcMyNe4d15BfFVdL/L0yvbSTpzlr63ypqvPJtWd3QfkezOeKdonnJjoogaabiwnOwavNhpe25Wfr/amWjDSlKD++upT9c0aG4TR4uVss517L3PF3Rfvsdkp6enltYtZHfFDe5b0r/X66o1ape201ZoJa275HqFQxUy6OKmsR8lKjWc66l9K1vJtVtXrmdFCfy+uhsy6fnd649f5TSfGVz+hhQh0IQxTnlckVNTP03f6f6RwU9S9mNqOJC95ikf6W/OyhGWK2WDygujOcpbmzfX1t2y9Z1t3oFEP+TtGX22oaSHsgeP1+9UQ4XUtyg3pR+rx8qC7xSmpmK4OQbilr7gaOmqvtoppspAt1H1B/kfltpNM1x/r5dArX1anldUnEDdbGir9GTaukvl/SWlvm4UtKBA147UFHjmm/nQcfWxspGEE3PnSjp6y3zcUHal3ZTnJ8H3nRm71lQUZBwTPrtjlEU+jSOPqtoQruOolZ3HUUTrHqauzRg/jJFc9q72nyfAe+/Wr1r0gGKmq7qtTeroTCrYR2muD7vlz13h9IImIqbzPskTUqP15f0YMN6XpO+z2trzx+gdOOcHj+o3nG7ruI8sGS2jgdr73+T4lrwqtrzr1YUFL25tl+3DTTuU68g8G6l4DE93lDSfbXPeyhLP/L63+E3rEZ9/PGA17+lqNHJ9+thc679XP33fzekffAcjb03nJ25JjttD8V1/zOKJtZXKQolD65++9nIxz3VPpf2+YcUA+BV+1M+WutN2X79H/VfT7as/+bZa69UFNJNU5yz/6Forjtw7lFFbec7FPeBMyQ9Njvfc15aJjwDpSwa53DIHT+jKun5bzqRDR1WtcuBq7hZ+nla300p7Q2K0pCfa/DEkIurd2F8tZovjK1r9jpujyqfL1Nc/POJnzeWdE8t/TqKEtNfK6rgZyhK6r6bttVa48nHgLytrLgJ/k/6nPMVN8ELq3ttwl7pu05N69xdg2+WH1avNKt+o7q++kvPJysC9AfUK+2s0p6p2s2domDg0PT/hxQX9B8oam0elHRslvazKS8fVQQ6C6W/H03bOg/yWg+tndLPHPRbKQY6uaW27vWzfX660k2+4qbkwSzttRpw86so3buu9tw26T3HKy4Aw4YKnivHQFrXvZK2GPCbr6f+AOmW6jsqApfb1Rta+kBFYNBUKjxoyYPivyqV3CuarZyj2N+fpKjJvDr73GWUlUq3+I4nKQo+HlOvJm1LNQeurWus1XGi6Y6/S5dA7U+1z67X/H6uln4zRc3Gii3W/XHFsbi7mqc8OVFRS31cysPPssfV8oO0/c+prfsdinPTjxSFVG/Q4GPgQWU38S3y/X+KwsamGu4blA1lrjiXfUFxvOf75/2Kc9yTsrSzgp6Gz3y9xnmDn96/n+Im/1fp+34we+1ziv4xbdbzevVfz36Rvv8LFDUyp2av7ags2B5Hnv+hCLBWUYvh5RWFBG8fsK53aJzTmCgKw96a/v+DssJJRWHl9bX0NymaU0strv8NnzesoGzWebLhtc1rn3W/sqCyIf3Qe8H6MmAdL1cE3Qenvy9vSDNb26PlbzSyUFctptvJHp+uNA2Coqb3v4qCmHcrCgN+PSI/lvLzDcW902MNr79M0criR+rV/N6d8rl622V2t91ELhOegflpUa+k52+KAKleer6N+udQ6nzgKprCfE7Rh+oQSRsNyEuXC+PcaqJwbNoeh6TP+Er22oclXdLwnlcrSsCqm+QZiovCqxvSVn1AzlfchPYtI/K2kuLG9z+KG4sLFBfuWxTD93atTWh7s9y6CWv6/e5K+VmxlnYXxch5eT6epayZgSKA/EPaH7+gGLAgz8feA7bN3upv/nCORsy5pjjRXpuWqjDh2tpyc3otDxi7zCv3oKRtB3z+25QFPOP4XebKMZDWda/SDXDDb76V+ms688KboU2zxpGPD0v6Uvr/FYqS1emKIOEx9eZ6m6w4/jYZx2espLiIH5O24QxFjWPevLN1jbWiJPzzA7bdZmqYA6lDXrsEandWaTWi5jc9VzU/m562w8DzkyIwPka989296jXTOkpxY1Q1aZuZtme9qdsfFOfblWr56HIMXKgBN/gDtskFGlzDfZmk87PnWjdnVAT5pw74zB+pRdNHDb/J314xMutOypq/p2397pbfvd5CYXVFMDVTcS5ZNXvtbEknzsZ++l7FdfRyjWgmmZ57SNHXrmldb1Ftzr/0fJtA4/OSjkn/b5r27WmKZmszVLuepH36CsV1bej1Xx0LytJ3HNT0sT6H3yVK91lzelEEO2elfE5XBDLT0/Y4U9Ki49ke48hH60JdRYH4XSnNPflvnY6vU7LHr1C65iruaU/Pfpe/SHruiHw9RdFq5GeKQrm8UPLs9PkzFfddpypaWrxUEcBV32PU0ncemxeXCc/AE3HR8IvAA+rdhNRvLOrVyq0OXEWJyFXqcOOkbhfGudVE4elpXVcrbnqfmr12gaQvZI8XSgd01Ux0EUV/lEUHrHujdML4ZfqMMxUjWD2iKOkZ029HcYP1bkXJWNWcbB9Jz0yvL6EomR45yeNs7Dutm7AqTvrvG7AvvVa1Jpgd8/GwBl/oNlZ/zd4LFRe7d1e/ScOykWKEvy+mfH4vPc6XgxXziy2UrfvN6Te7XXGB2zR77XhJP8sen6UIrKfU8ruW4vg5q/b8CqOW8RwDSv3yBizXKALj4xWD6Cjtm79Kv+Gs3zx7Lb8wXp395gdoHE2zhvzmCyiOkeoYW04R8O+pWj+C9D22nI3PeqGiRui3GhsQtK6xVseJpjvmsUugVhV4vUwjan6zfXfo0vAZz1eMkviJ9HfVhjTnKWs+3yLfXY6BtRXzOK7Tct0PaXgNd36tu0stmzMqCphuVAQmn0+PP6+4Vt6oaC0wq7WC5l6LkHoz4venz/5W2h+afsMlVev7rBjBdOk5sJ9+WSOaSabn/pB+x2fXnn+Ookb+99lzrQONhnytpThuv6zsvJ29/jRFzc1lGn3971RQpigg+OqAfH1VMUJo9fh1inPy0KBinL/NEWnf3kap1kq9AZvuVNbsuOP26HqN6Vqou5iiG8Litec3U8N5p5ZmIQ3pw6e4d3urYk7RBxXn8DMU93d538ETFYUljZ+nFs1yNaRZ9ry0THgGSl3SjrqdoqnaofUlS9e1pOcOSVul/+s3Fm9Xf7OeLgfubWo5YEVK3+XCOFeq5LPvv7XiBn0/pQ6iipvhxWrpH2p7wCmaIn2xYRuvoAjAtq+lPzb9Xvcram7WHbDel0uaORf3u9ZNWNP2GNRMclON7RPwYmVNmWqvbSZpjezxpRowCEXaJ/PSzr4S+Kal9v79lWqBWm6T5ypqllatPb+L+kv7llVcoGYoaucuVq+W7u+Slp2N36X1MZD2u6qj90mKQpGTFP2+rlfUdv9TcZ54vSJouTs997mU3yMVNcF3qr/0/eOKUsZTNRtNs0Ycj20Ck50VTRhb3WAqSl4/qrgg35G+4+2KEtiPqH/ggdb935TVuDUcA/soRmCdne0xq+R5RNqp6gVqJ2hIze/juWhAk/dxrut2RUHjDMW557b6Ukv/T6VaxYZ1vV0xeXn1uHVzRnVs2qvuN/kLqV0f8qbPeyjtk4cqa6Ewl3/jLsftAoqajlsUBWB/VMz798f0+Gb1t7poHWjMRv5foBHXf3Xvv7Vz+u0PS+tfIv09VFEIe536a7Bb1W6ndb9IUWB7jeJ4uCY9XqPhu92i1EKm4bVdlDXz77g9ul5j5lqhbsff+ofqjVJ5tiJwXHwOrLevkPGJtjCPWoOO8wltorh5qnxGccDso2g+8RnFgVD5laT9zOzXih1Wikm1F1J0/K/mnZK73yNpRzN7geIGYA8zO87db1G0a78lW+/3FTv9OS2/5kxFiWSTf6h/WNdfKObBemb6Xqdkr71QUYsx0JC5QBZRVKX/UHHyzCewPlhxwvlolv4ytZ/EenVF/7WZ6bs8WYp5PNL8WQeqfw6jFyma9J3kAybaTS6XtIF1nCg5zfnzPkVN2RKKi9wFko72bDoA7zbn2j8U7e2b5jXaVBG05A5Pn3nW2ORaS6njenr8WUknW0xk/SP1pm/YRjGvztuy9+6obsMAH1h/bsi0E9srhhs/rWFVP1KMUviXtN5pkl5mZpul7/Msxb50offmc8s/c/UWea2GG+9yDNymuOC/0d1nzfWX5jf6meIC+0JF0HKgu7/CzNZUlH7voLjB2FK9OWtmDQ3v7p83s5vS9/uAImiuLKGohZ9dK6T9deAw1Yrg9NmS/mNmF2nssN3u/fN+/VERbF2gOC7Pd/fG84+7X6lo0lgdDx9MS5Nj1W2i6a6GTrKb+axi1LVzFeeazbPXNlEUFLT/0Ng3/+3uj3TcT2Vmr1J0zF9H0qIWk2pfoJjk+E8DPm+yokli029erfsbXb6DYh69L5nZde7+l+yzXqH4XfJz+3cVTfjO1lg7K5t02bvNbycze0hR0yYzW0UxaM+W7n5LmiLmh1naVRXX6KcpCiLWVxTaSlEz+gZF08jx5GOKhl8z3tplfeNUzTH2KvVGtnyW4nj7nqIW8KEs/VaSPubZ1BDuPlPSqWb2dMXv+IG+D4hpH56j4fuSzOwpivPXVhp9/b9TMTquFDVgt7j7P7LvNKn2Od9O5+qPK1ofVR5WnH9WU//5atC9UB8ze4vi3P9vxfXnNsV1cXNJU83sre7+0+wtT1Pa9xrcKOmp2bq7bI9O1xhFs8RZUyPULKixcxQ+R+2n2+myXz9TcZ/1I3f/34D8jIep/1h9YpnoSLHERbFz/1wRSFSlpJMUHTCvVzYQgrqX9IwcVjVL+xTFSWGGxo5odoqyEevUYcCKlP4ratnOX91q9rpMKXC0og37BoqTRV7Ks4Oy5gnpuVcrSivfqBFDcCtuHDdK/0+TtEP22maq9VfquH8ckPL6d0WAfHx9qaVfWXFSfkRR6nNS+vtw2heq0UY7NWFVXBweU9ycvz7tHzsqCgceUa2EWlFrM6w5Y31f3VhRM/lI+r5VCWxjv8cO269pH3lswD7SabjxjvkY2cZ9nMfANA2uuZw1GIaiefS498M5vShqXF3thqk+b9RSW3fjdAwj8tOm47spSv1nKErEq/30MUlHtPyc1iPYDkur4TW/r6g9d8qIxav9fsR+Wv9dqmaXlymm83hf+ntp2i6vq+XjSZK+qaidHXgMqNb0fMj2uVD9tRG3qTeA1iXp74z0fN4Pr1Nzxg770ALpe++RHo+qDf+l4nheXCP6kHfcl3fLvvcfNIcGKEvr7lKj1jptSv+QGpotptc2Vf9gTssqCgFb9RNSh+u/xtl/S3He3jTtu5soJgafnXPklYpa2HrzVVM05buq9nw1iE5T+jMk/Wmc26PTNUZxXH69aR9Q1MblLQBaT7czl/frobVkinvovEbfFQH9mJp+1Wr757WFGrVmaytK9x5Jjxd09xmSfpAm3P2qokRK6l7Sc6OZvVhxcnmtopTj2YqD/8veP1Hpl9PnvE5xEDycvXaWomSiKmH5Uvr7bEVgWedpItnKfyRtbWaXK04YecnQYoqq9SrPXWr2utQwbqlounVemqQyd72imWLup4paztPT97lLgyexvkTRhOpXilLuj6eaiOmKQPYyM1vU3R+UJDNbtL7B6qq0inbTh3j7iZIPVwRJr3D3m6onzWwZRU3NlxWdux9ONRkz26zU3U83s3comnPsmJ4+RnFyfZe710unJynVLDZ4suLikK//HEnnpMl8l1L0fxqYt1QK90r1agz/5M0TNTftIz9Q8z4yrEZjSUVgl+dhsuJmuV5z+WN3f6z2/g0a1rmE4uZtY2W1OB2PgcXVOyfUPVNRACNFzfyMId+vUcfv2EVVG/dBRc3G9EEJ3b1p2w3kaXLzVAr/QkWB1S/c/a5UAj+92rfS9/uc4qZsEcUxvpaiNcNpisKo/dN6XdLuaVLgvAZ60ETTQyeVNbN8UtnWaVNeqj4i9e9+dMMmWbrhuSUU56w7FIVAVe3DhmpfY32w4ny+Tdo2lYPM7DTFds1r4D+tKPjaSVHotLvixm47RQHTB9J3eMTMjlEcu1drsMs1jpoK9a5fy6h5cuYvZ/+7IrhswxTntQ+bmWt0bfi6im13d8M16VbF9bW38rimvlrR0qOpNuHI9O/eikK8XWfzGB2k7f7RJx1rC9afz651l0jazcx+me9P6Xvvll6vfFdRWLGHBkziXtPl+v8RxXV0V0WLmk9nr22hCLDHSOftXwzLRJqc+Snu/t+G156t6EJQtX5aTtKetWNL7u6pdvYntVXslz7/X2b2E/Vapmyh6Cu2aZa2y/ZYXN2uMZ+VdFqqcTtVsb+8xMy2UBTmvDl7/+cULbN2cPc7B3xGZW7u16NqyY5Qb783xT5xiqIw6IlloiPFEhd1m09obo7U8z9J70z/10tBNtCAOSqGrK9T2/7sfV1q9roMuvCAWk5gnZ7bf9SSpd1MaSRCxcX/b9l3u0GpNkbtSq3rtSt3q8NEycqGX294bStJ92aPD1fLOddq61lVEdSvpsETdf9GcXPc9NovJP12nPvpJLWcc63lPnKfxjHcuOICeHF6z7WK2sBr1av9bN1hX3Fhy6fK6HIMnKwo7dtSab4oxc3Q1opj+qT03J6S/p7+f6uiQGPoCKVz8js2fOdZA2KMdx0j9pFD1W7UsVYd3xU3xo+o5Xxk6T1d5qbskvb9I5ZWtUCKG8Gpapi8vOX7H9Lwvl4P1Z67UhGkVeffNbPXTpT0rezxX1Wbi7D0Jftep6tdbXiXPuTPVDQ/r/bnvF9c/ZpxnzpcM8b5HbvUqP1Q0R/tMQ2/1m2YjrErFaMzVzWd/1IUHG9Q+45dpm/odP1Pz4/sv5WlXSN9z3+n71Ct+2D1D0p1itLcpQ3rqM+5dr6G9+3/fcPzqyuuCf9W1Fz/W3H9Wr2WrvX20PivMf9R/zX6RqUpFbJ1t55up8D9eo5fu0pYqFFrdpV6pRd/l7SrmVVV+jspTnCVcZX0pJqTFypK6G5WjN52dy3ZIooLR5PFlJXGm9lrFDcw99cTmtmTFRfgTm3qM11q9rrUMF6oaO/ftI22VjSzq77DQopSur961mdnEM/6JLn7TakP0PMU2/Rf7j7dzHZUr912l35WJytKls9tmd5Vq1nNLFD73BskvdXMpiq2bVPfnzGlyR61B2NqEGoOkPRrM/uL4ibsFsX+t72i2duPzWxZd59mZoeO+k7ea6d+oGL77ae4MN6q2Ae2VdRe3qH+46LNPvKiLP3Kipvj3HRFqd9n/7+9c4+/bKr///M9yAiNWypJ8s2lKLr4JZdBUi6VkEiFr0sJha+vW+QaCamvO5UolUaJLggZcs1IErkVZoRBGPcZzOf9++O99px99mfvc/Y65+xz9vl83q/HYz3O2XuvvfZae6291nrfU+dOwqRsH1LVaclJEVkTk8SchC3yZTAVuChTdtlvYHfs/f4Sk/w+j32vghGdXwn5HsXsVY/DOP3TaM+J7mUbs7gF42C2RYnxgaoekDo8FrM12gt7t2nJ0yXYOzs8HO8AHKSqP8rhLP8L49qjJoF+AttslsXSlLRXiszbyn4r+X7bSoHUNC6+hRG1vw3Pngt8WFVvyeYP89otqpq8p1nY95KHd4brabwNU9eaKyKzMXXTBD/FNpRfDsf7AueKyGPA5VqSgx6kL8uGZ/1NVV8sc1+L8iYQYmmWWQsCjiRs1mktDS9tQ45JAZ/F2vUw5mjqcUwauQOmgpbgsnC97JoxCkV2vGraPjFru2BS1LMxJnMryfnVIvI+bP7eBlsvHsPsgrfSlM1ZKKutZkoKMet/jP0WIrIpJlm+ESPOk7kFbBx8lYakbTI2/+ThUpq/2//BbLcXwDR8Ek2kLTEtrO3S2jmq+lJ4R2mb7iKUfh9ErjGhLlOAKcEOM9E8uFcDpZPCjZhkP8/2PYuux3WPsaiIrEcLjY2hxKApxTomSsYTytxTitNDXPyya4Cfhf9ZDsuPaQ5EWKUtz38wFZYVc+rRJNkjLjbKukQEsCbC62PF42MbSgZKDvkvxjwwvT1z/u3h/EWpc2Wkne2494VcfGwjfhMNDvBrGOGxHqZ/vnrI92CblNZTn0HJmGsdjJGplHQ3ji082xdc+zwRYSQwgicd2DNauo3NCTsCB4bfVQue9QRwcL/bmHP/ShhRcQgFYRZSefPGxKzwXp4hY8tDhNcxIryZYvPFFZT0bkic986uvN1i6knbYtL8lSP64dOZNo5QPLevBcxJHZ+MrVdfACaGcxPD8SwyLssxwveT4f9dNAeyz8YCS3t9fI3RNiKj7ECweehRRktRLwL26XCcdsJpv4Jy0vAYG/KHMYnGhGwfhXH5h9Tx+phU6nCM4fPubMrUu6qQAvNh3/hRndzfpuz/hzG2R8U0Lchfev0n3p79doKUjNG2hp+i+Vt+mfIx15q0jlIp79zcMJ5yxynGNHhbJ+8jdU/ZNWZDCjRtcvK2DbfT6biu8DtPxsTLjJ5rmjQ2hjENvALDkMLHthv58YRKq0SFcydTPn5ZzETWajFfn0g1ycz9ibpS4lSllUh+EiWdLoRz61A+gHVp1ZtQh18UXPs5ITBnh++jHSGVNZpeHiPsXsGMiy/BiKVXsI3S8j18dmE9MuW8HlMJLYyDE1Gn0jHXcsbIT9qNkYJyFysYp7kqY2GcvpA5NyUnXYyp9czFvJ2ly45S0yn57hJnBzuVzB/VxoJ8uQ4xMMLiQkqo/7Yo+0PYIv/hzPkY4ivG8P1EjBB4BJtvTqA5lEp2volhEvRErR1T17wmc27UhgZYA1Ov+yc2B04OaQSb/ydn0scwqdc9qXIXCueSPns29f98AvGWyv9DQrgZzGHHaxiB8iNMTSsdfP4ISqqeh/z7Y3PDkRiDKN2PXyPlSCHym4kl1BSTdJXd5C+O2cneiBFoN2NSmyUz+Z6nocI9C/PAl1z7CKOJ7aLNfN6aERVSIPLdKcEsIPLeZTFb0dwwJ+HdnkXJ8A3hnlLrP5GMsjDuiuabDWiOA3oH5WOu7YQRMGXT7zDfA3lln0gqDmjM++ig70YwZtnJtCHy24zVrGps1Liu8Ds/PozrIygRJ27Ykqs+loCqPgx8v+DySdgGaUdso9dKJQqC1E1VT0qdexo4JqieHIotYqjq9cHN9HGYao1gi97NmArWQiJyWKqcXUVkk0z9JmIqGH8v19pcTMOIvTw0ieQ1zukCqnoDsF4wcl0c2/C+RD5iVG82ptktbxq/Ak4SkQeJcyu/Qvj7jrL3hPseCmorO2ML3VuwDeCPgHNVtZWqW7asTtVXs+W8hG3EeoH7MNWOK3KubUdwtZ569rM0nJ9k67Ve+lhEvoJJpY8Px2tgi99bROR2zAnLv0P2m4EDReRqTalXBdXfA8P1NJZmdP/PxhbK/9Fml/4xaikxEMzz3vYicp6GlaUFotoY6RDjfMwZzImUcwYwCqr6ZxE5AZuvPpC6FBNKIsbwfWsaTp+axk5SJey9JIhRVe9IrT0HDwIfzJzLhkBJINhYm4ZpVCitnWe8jKlcAaDmWv3zInI0jbnmMSxExT059x+CqUGhqt8LaoqfwQi+U0iFN1DVI1q0MQ97Aoep6vE5Kqz3YhLcfuFkLem0SlWfwcIbfKNNmQ/ScC5yFybR/l04/iS2rieIcr5DnNrtKLRSkxSRfYGPi8gZWkIdLMzBX8ekK4Kp2j0GHKsNZylgjI1tMHW8UvNHxPpf2gwk4AmCinQOVsWkpglOAc4UkVewGIiPYf26IzaGEzVCVPXcFs0ZBRH5DnBmweWp4RnzELkfQkSWpdiRTXr9eg8mlf0stif7NzaGLlDVv2RujTEDiR3XsWiqR9G4xvbVu6vqWa3U5YcVTqh1j60wTtI/GD1Z5HkuHKF8/LKWH66I7E8jholik2SWeHkFkxDsT+c4DNuonIFJQhTYLEz4n8G4u4Q6RemSp9r5MrbpaIWLKe/18Y00L5RpPIMthKdm7t8ulH8lDd3zjTEpxgWpZ0xvU89RCMTYmRRP2vMgJWOuxUJEppSo52dT+SdifVsUHyVZpGNirsXiqxgXMMHJmATlf7EN+HGYWhfYxnoq8LCIXJGqx8cJHqTStpyqukFEPQ7F7PuuokE85H4DHWIm5hnsWkbbEak27AHbtjFzb4wX1g0xifXPumzLU5iNQxqliS+N8GaqqrFMk9KMpFimUx6C17j9sE19GnkbnNlYYOxHROSNGHNQMI7/58NvGq9gasVzMucJRFkeYZau2wSabdBQ1e9ixGkv8GYsFlkeRsiZUyrErILzeZv8svg9JtWcgo3vS8IG+FUsJt08BoGqXhtZ9tOUtPWOZMaAaVKsDtwrIlNpMd8ERvDhmOT1Ihrr4tbAySKylKomxPyWwL6q2naNy6LE+h/LKLsA83T6D0x7BWzPsBLWLz9MPbtlzDVVHcWkF4tt+AFM2+qcQEC/E3hcm+Owvp7WRE+uF+Z270PMU+UUbPxBwzty+lnzxohazMrDgMMCs3NbbH3eT0QewAi2Q0Pec1vUN1vP2HEdgzNI2V62GdeLEREnbugwaJHesCci1ALDue9RMn5ZZD0eJNgXVdDGpF230V5FIUqXPLIeR1De6+O9FOglY1LJf2bOfR3jYC+cOb9IOH9o5vz82GR3CqZqdArGrRoV340I+0FKxlwLeb+GhQnIK/dbhNhBqXNTc9LfQtmPYC7Nk7zrYotyWfXOjxERcy28u6tCmwpVZDDbzQ3D/zeGd7lBON6KlK1BOLcURrz9EWOe/BFzZLFUti8wddTS3wwVqKXQ+LZewzbeLePWlGljJm+MF9a7KOlBkRy7BWyx/DC2qfpzzj2lvI5l7mnrzTTyfcd474zJO8peC9sAz8XWiI+n8i6ISbJKjT2M2fe6btveYuy9P/TdutjmbR1yVIvDPR/GiOaW3klD3jsJtlCMXhuPxqR8XdU7dS5XnTdcu4bWtt6z8tpSlFrU64MYM/IkCmKPhXwTaGH3E/LEqOhGqUkSZ3/8OBYoPa8d38QIk+T4AQpie/VgrMbasy+ISTfnYnPqCLbWvBLOj7JppUTMNRpzQrLGZeeEEzP5/wycX9Cm87v4Bk7F5uu1Q122wJiFZ2PSzFH2bAXlfCK8n45VFHvQt0Wq+DFed0uryw9jGngFhj3RUE/JI9R+jKk/7pFK+2CETFFgz70H3aacNqYX9IUIBqYFeXsaUqCLOh8cJvY9sRgpySS7R5jYD8rkfwTYvKCsT9DsljnKRTpxzgB+g6mpvjWT760YR/2S1Ll7gF0Lyv1v4B8l39XbyLgEx4jymzDOaylHDeG+CeH9TGiRZ/vQN2eGd/MDTAr7H2yROSyV9ynCJhfb6D8PzBeONyAVcLVk/Walyhuh5IKWKaPlNxBZVmIzcik5LqZ7UH6M84zNsAVv+RLlFtkvJMTXB1rc2zPiixJOdTL5SzOSIvMewWjG0YHYpm/JnHq/SKRjpNBfh2IhLw6l+8Dzyfx8LuWcW22MMSkuD3l+jzGR5mDc7HMy5e+KbYwPDX09gm2Adwntz3WKU6LeZ2f6oqWjDdpv8n+LqaGXSqlyl6NgbsTUmZdLHUsYD/+khP0nEbbeRDBjOnjXzxWNs1B2ev7YKYyHRboZly3qEs0ow7QFjg1j5rgefDNRjGhMyjiCERabY3uozWkwgD7dYT0ewNbR5BtO+yv4DjClxb1LYN/mldj3+Szwk0yeVozUEeB9IV8eg6rQLpEIJzkx4xojVF/D9hIfD+92Z4whNIeCkCXDkgZegWFPGBdDMc5JLqeHHjmAKFEXwRalnWmzYYksdz5SnKM2eStxutBBnSeEjzaZ0J+jsZE8k8wGEduY7FxQ1q40G4afj21Gs1y8NcPE9hNsEZ9MvDOAmJhrLxOkSzl5NyCCiAll353px0omN4yYPSRnfCyK2Vj9byrvZRjxuipwPSlpdBjn/8wpf5nQnt0wqdsyqWuXhr77ZXj2VeQ7FZlCgTOaHr+LhFD7ckXlx3Dmp2Ec9Fcw7mWhNIF8o/ptsc1UacI+VV5bgoscb6a0mUsZvQEuzUiKydtBe6dSEI+pYDz/OTx/JsawmRmObyHD1Olg7M2hnHOrmzD7xey7eDvGNNoh5xn7Y8yVtGe8F4D9u3h30zPPbylBCnmqkIbHaErsjancHxyefxRGzN+NEbm7FJTT1ps0XXonbdPGHwNnFFw7E/hp6vhCbG59GrNXrmQ+pQSjjNZE9PykiOhw7r2Ui7nWifffL2LEXTLuEmbW57p4By/SIGKep1li3+RFN5x7AzZHXxra92Lok62ABTN52zFSryasqcQ7GIqRkkWNazrQ2BiW5DZq3eMGbLFbgByHH2qxjnriAKIVgo711cC7Qn3ydJZPz94X84iS+apyumCVEPkwxpEtMqD9f+F3BHOucgI2gS6JSWeuVos5lsVvgBNE5DnME9OcEDvnU1g4hd+m8m6GqRVOSxegqtNE5GBMDfKf2ESlRDgDIC7m2jOYLdA1OXlXxoi+spiL2aIluIPRscvmIcTROlnjY66BbTRuUDNsn4stIqjq8yLybcxG5sSQdz8aUsaHaXZCsi32/SV1mg9797vR/A7nBgP8r4b7D8E2o4rZfQ5af10xIv+sdhlD/J69sQW2yHZw6dRhjEOMO0NqX+ESdgwisgdGWD8Z/rdCqzhkox5P+J40x7lOsPH8OCbB+FzmcoxTglgHBjE4APhZcGCQFy8RbTgROBtzbrCupmyNRGQdTDX6LEzq3ylOVdVjU8dPk+PcCvNMeSi2AVKCfY2qTheRI7B178eZNpwgImdiEtQlQ9k3qdn/tUQLxwFLY9LI28o62tBIJw0l0WpNnEjDyQ3YnHQ4Jg09Brg41P9obG1ZsangOFvvyzB7rDdh42pKqqjVsM1rc8XNacw6FK+jyV7hMuB4EVme0XHDVgUOEJHNQt6VsHUPbD/0xpz30jW0nD37g5ia7i0511YP5+eD6Jhr0XOCqv5ERM7H1uRkH5IXvywGDxOcAAH3Y99/Yrv7IZqd2oH1m4Y8OwG/0eJ4hvtjkqjjMI+Jp4exuigmhbtUVR8NNq7fxwimUfF7CxDjJCdqXGv5OHHDh0FTisOeSEmb6KFKVCh7AkZ8rVgi7/nYpvWtBFE4xlX6Osbt/K8SZRTq+UfUOToWSETZUao3ke/5WowLmHC9ZtHgfl1MSl+dEi7SsUVqVWxCGcE2jKtm0oqM5mZdTPmYa2dhHqrek8m7GuZw46zM+XfnpDVouARP26itgal3rl/QzgfpIOZayP8IDfXDh2iWkGxFPldySUZLQd9DSs0Us5mYjS00y2F2CsuF45fJxA6ihUpqvxINruwjGOdye1rE5cMImlex2E7H0IaDmbqvJWce21itQ0npDLbgviN1LNii/j0acbnmvV/KaxS8RofxtXLqmOcW/xrKx6aMyfs6bDNxE23sLnPeRzsX2C8B2xW0cXvgxS7GnlLgqh0jdtPqRY8TVMcwCcFOqWubdVqPcH+MSlRlEqRQxvLYmvVjRkuF/oAxIncIdTsidZykL2Hr3+2pMl8EJof/c4CPpK5tTkq1PpyLUbudRFxInDdhDJm0hKdpHBaM07baQFSgvt1hHxbO7dg891Lq+HbKx1y7hpJzQsXtOwU4Lfz/YqjHjZikfi4h5EYq/07pcdGm7Bdo2IG/SkprByPQH0q9q1cJGlQly45RxS89rimxvx3mNPAKDHvKfqyDKpuI4JvhXCUBNUNZVcUCiVa9iX3PGPGyI40AkqMCNmLOG65ntOORhUM7r8qcfzvlA/IuT8mYa5ia0t+xze00jCs4LRzfDiyeKbtoUziCqVY9RfPm8sVwfTZtNp6R7/sSguoTZuj7GMZx3jG08aoOy51BRODtyLJLM00K7m/l7KDtBiiV93Fgv4jnlnKIQSOe20Yly72UZrW4o8K4uyf87tTBO1oEsyd5uBf9gjF2srHzYmJTxuT9Ycj7C0oQ0JSIx5TK+yAWhiKv/VuSCswe+b6Tee/KgutNzq0wRtZe4f95mMOmjbHQLbcCN+eUMRHbgOWp46cZNDEqUT2Jb1fQ5g9gG9W7Q3//lYb98YzU/yyRk03/IsTxCuXOIDBcMAnIfqlrX2C0qlonKnZt1STDudJMXWztKpNWIHLT3uuEqS92QkTHxFyLdWpyDhXEc8Uc0CyVOt4SM6O4CCOACm3ES5RdmpGKMXi3iig7+tstM65Dnz2Kzb97YVLTrp1P1SUNvALDkuiBtKmDZ8YQas9TMvhmOFdJQM3MM3otYXwW07+WMEGul7q2HSbmrvQ9h/zvwxalWZgb4P8Lk+7TmDri6pn87wLWyryXYzHp2Vdzyn8dpqr2Q2xD/ENsgRnl+Q3bCH051OPK8LsbGUldyLt+TvoQQYpCCX1z2khuSr6/tYBtw//FMMItIer/jDERlg3Xj2+T0ly12UQE3q5qjBDJBKHERiiV9wkiDOKJ48zfSUkHD5gK1qfD/wmYUfkB4fhIUhuhyPe8MiYt/CPlNAly+wVTFbwc+HvOPaUZSWXzYt/97p2OrzZt3A3zzrps5vyyGEPmS12O6ZkUO7fahwZhdSpB+oZt8m+jQZjMIONAhgjPscQ5DphEhAQp8p1cjRGh2Q372tiauTnGkFskXN8gHKdTnkfBnxPmzPB9PE+DoH8C+FUmf2lbbyK8k4ZzUUzdiHcXtWmv4Ds5PD22Woy7PCL6SwXvek/gvsxzYuaPh4FtCur7GbpgHnbwfpanWFI8JZWvNCM1nP8LGQdqLepQ+tuNGdcYg2UfLEbu46FfnsG0rg7C1MYHMi570neDrkAdExVKmyLrEbM5vINgNBkmjZ+nrn2XDNeVCj1FVfg+KlG9iXnPmfw/opyL9KnAManj07CF+HJMraljw/q6JFpzzvfAnKcUegPD1BTfEP4/SEOt8iHKu5K+gwL117A4dMNpj/kWK2OCYJu70iq+xDnP2ALjqL+nRLnp+WNNbBFNCP71yUiyItvYpH7UJu+TmPre07Rxi59zb2lGUru82AamtGtyWoSGwFSX0+P6Qmy+m4NJ1xMp+xxsI9jSYQPdSXNzCatwr2Brx3vJZyLdRknPsXSgzkhJCVLk2HuaRkzCEZpVLnemOwbER8L/BTHm3iPheb8Als7kv4byarelmTHhXGmmLhFMRiI37b1OmPp2J0T08RizYt3Uu34fZnM3g2J18jJOTWZToKWAMZ07Zh5Gvpt2kuK02UM7RuoKqbwXYpKsF7GQHRdSwoEM5aRkUeM6U/4qBNV3cuauYUvuTCQfMUFi64LSwTcDnqZkQM0a4W/YgnclRhgdLCKPYGqBR2Fcmn7iFFW9rUS+1TCXuYkziC9gdjjfF5F9MInYCeH6XODDqjrKCFpEPoAZ1idG0LdiBMjPVfWZvAeHINSloaoziq4VGfeLyLqYysVSBbdq+P0wcEsIsLmlqv4t9dw5BON7TQUxVtXlI6pfZeDtGMQYTBPyzY85DsgGOb8IW3ASzAQ+HwLVXkl+sNq045oY4/dDMVvA28N3lefg4v+Fv//G1ISvw6QM96jqI+HaJEYbs8dA22eZh9OBb2Dz3mPh3OxQv8tVtajtaDmnBGXzHoUFj71Wi43001ge27Dn4fU0O/ZZClOXuz8cvwFrY+JYJO20YSUROVNLBj/WHGcsZaG2I7q/RZaVsXH/txZ5EpR2HBDpaCMWCryiqioiT2AS7eR9PUzK6YeIrAcsoaqXhOOlMAnEu7H16SBVfTU4XXiB4NgizHV7h1SEQ4GrROQqGgHiNxORfTFJzORU3q2wsD5Tg0OlNKaHNqTxICZxBpOkfh6LLQbwSWzuSXB6aP/N4fhEbJN8HfBtEZmoqieEax8L5T4kIn9h9PyhqrptizZ3BVV9FdvvQJwDt8MwIvxaGkHsL8EYa1dghGne88rMH9OxvvpjzrXJ2DxVCiKSMKVKQZudSp2ASZt2xt7RLmoOQtbG9rbHp+67mdDfqjoL2CI4VltQVbMOypbCVKDTx63aEPPtxo5rgiOR9UKaHPLchY3XoYUTavmI3mgNGqp6cOr/ZcEj2JaYpONKVb0sc0u0p6ga4HtAson/OuYtK/F09G+svXXEwjQ8MK4Vji8Kx7fRPOG08iS2ADa5JbgL80j5HRH5DaYieWXYQCV4iLiNb0IEnoUtrOkN30+xBTC74TsZkyhsjMVuezVbqIjMwrytgW1SX9euIiIyEbO7O1ZVr2mXX1WnhOcciXGsF8AWpb9gakRXtiujR4higojI0tiG4L1Yfz2OEbV7YsyJ1XOesRwmucpCafYwGuOFtbTXR2yxPV5EPooRamnG1loY57YfOAoj1M4uyTSpBKp6noi8G5gRNqmzslkwicNiqXNvzmGkTMQYCgnRi6puWLYeIjId42wn6BmTMRAcf8LG0usY7S1Qtdm7a0vPsRnEeCc9CVNF/CimPZJmClyK2aN2Sqj9A/gvTAviJmDfwBB7BXuH/0rlPQFbgy4Jx/+HvdtfY8RMEvZgAvZdf5L873AUVPV6EdkI87xX5E06QawnwhimbmkmI5Gb9hrhVYw59hVsLU48Bv5RVa8UkePNSWYpZL+Bc4HDA9F/nqq+EIiVHbDxdGREPU8jbi1PYw1srzASjieGyt4oIkdi4+zysOY+i0nULk5uTjNS04iZmwJivt3S41pEfokxORfH9lTXY6qQ1xUxsYcKgxbp1TFRsVepiHrM8yhZQdmTqEjPv4/91FL1ppfvmaBml0qKEYcP5KXMvXfSsN85CZiWurYVpr41mciYa+H+hWlwA0cwBsMxBPsebBOdpM+F61dgG6Ktwu+V4fx2qXJjjPvbxlyjw/hlmJ55oYMLClQqKRF4u4MxUlYdL8pgmhJx+bqod5VeWHfANv+7kDLcxuLv7Nind/26bN7wrexT5v5eJYzQGMHUgG7ANvrZdDgtvDym0giwb4tnFaoRUm3w462xee9VbI18kNbeXdeghefYgmeUUYmqMr7dF4FDw/93he8y6ZfnSNnAYpv5xI7s9aS8c4Zv4l+pvB3bb9Fe7fYauvBECHwQWzNOIhUzLFx7iYa3yvUwRuGS4XgyEbE665owxmHufIMJM2bkjPWilP0GouK5VtjGp4ANw/+ZpGK4hXnhxdTxw6TUYSOeIWGczt8iT4wqfulxHa69hEmAP0nGkdqwp4FXoI6JCr1KRdYj1nZqfsye7hRsU38KFgSw1YfTcz3/YUtl3jOm8nFCSCdiG5ZZmPOOk8PvU2FSz7rG3QXjyCYeGb+YupZIo9IbuCIbkRdpESQT4wQfhXFv52Lc752AieH6ubQOXvqT1HGMcf9NtNmYYwTeKRhROBeTcuVtZqcCU1P3nYepmBaVO5eGC/hCu58ejZFSTBPi3WU/TYETD0wtqaPNNQ2PiNsS4YUVW3DfhnE+F+7k2T1412UJtV/RvIB/LRy/HL656A1Hh3V+EpP4F268wne0ORbzaARbSzbPpI3JBOMN966NaUE8H/rveYz58eFMvsqYjJiUVEm56y7xTkp5jiXOcUBpRxs96NdFQp98itF2ZGk35huH8ZaEu1iPZhfwldlvEe+JcDmKg0EvkB5/tGcyPl5QTttNe10SjTU3j1D7AD2wb8LUgL+CxfDcHVipR3VfPIy17QnECSYtm5DJdx2wa/j/a0wNd0VMgnglcEcq76EYM7esp+rNMNu17Hf7feALmbwxTnJivO6uhMWjPQ8jmF/DJPqnYnvgNw96nHXVz4OuQB0TfZY20Zv4ZUtj3MsRbMN6Ew1j0b9mFwgiPUXVIdGlq9tevOdQziHYhiXrvW8RjAt0aM49kzGu+0aZ80fQiLEWFXMt5xnvwFQpHsI2DddhXKaZ2EbiOQo8Bobr6RgmMfFO1iCCc07G01ibvNuHuvwSkxxuTnOMsRdouBIeoQsJUZt6RDFNwj1l3WW3jcvXizpTzvh9D0wqlBB0yb0XkRPfDLOzWoGcGH1dvuuyRPEjmTY+TCPkwOlYcOWej4ecevyHlCe5EvnXp4VznUzehAj4O6YS+OXwewc2d6c92FXpuv6FmG+AEl5kU3ljvJNeQz1iWd0KHBf+nwtcm7q2LfDv1HFHThci6hLjiXAecyvnWhNhQnsm45WZ+0tv2uuSaDBC8wi1pphrdUkYU/74MJ6yc/XvgSMz+b8IfCP8bycpPjGM1UfC93QCxZ6Wdwjj4jzMK2T6W9yfFNM1nIv6dmPGdea+ZbG9wzXhntcG3Wdd9fegK1DnRDVepSrxKEmk+hRdeNQZYH+UdnVb1XsOZTVtDjPXPkEmeGlk2W+nJCcr5H99mCCn0ohjdQDwpnB9CeBnGNH+OJkJPFXOUaS4o7Tf8L1Gf2KujWBEcZGUUelApbLF83rBNIl1l/1HIuLyRdQjViK/f+i/IzGPaVlJ1U2pvMtgDgiKVPc65kLn1buoX0J91w3/3xOe/1/heEP6p6Z+IgXS6oL8bQOGp67dEsb3KGkdJlG8JXU8iepc118RM54iy45RiapMnTeU/17MDv1f4ftN6nEMKdVAjIkyB5McvpK59iPgt6njqe1Sj95jGWZMIaOMHMKE1kzGzVPHUZv2QSZGx1xTzNZ1B1rEXIsZH5l7lsU8am6WTR3W/9uYWcB/k1HdDPW+rc39rSTFD7ZJaY+09wLfCv+z3+1mZCSudPjtlhzXgsXC3RubL2eG+syiT8ybysbroCtQx0SF0iYqct1NpPoUFer5V9gvpV3d9uI9U7w5fAHYueCeXbPvjtH2Zum0LjbxLxjyxrhDPgcjOl/AOLrrFdTpQ6F/jwhj+VRMKrZG+D0NW2CPTN2T3vD9hNEbvuvpT8y1d4S6b0Z+jLEP0oFKZSi7KqZJrLvsNbBF92lKxOWLqEcsofYQDTWn7JzwceCpVN5LsYVwbxpBj5tSF99X6X7BvvMvhP/707yJ2Ax4ptOxF/mu98EYYldhjL09KAjunHp/pQKGYxuYXBvQ0C8v55zvCZMRYwQl6b3YhvYwwqYpmwrKeB0mqdk4/Oa58o9SZ6RDTnuJ9m4ayryWhk1hUo/DGM3xXwGz3Vspc/5LpObxQSc6DAYd+Yx7sTlkxZw+HLVpH/D7SPo2GTvKaCbgCKNjrsWOj0UxleWsWcM8xlaH9X8M+HLB97IRzSqEEzEmywYVvMfZNMJOZOvxEfLnpp5/u5hTuWdDeTOxPd7XsDALQx/4euAVqGOiQmkTFRl7E6k+RR/1/HvYL/dSLBE6Evhnp++ZuM3hzzB7tM/QILAWxNzAP0UQ7afyN03MBccvYhv0qZSMuYZx2r9Em80XxnhYP/zfm4ZEMHn2o+SotdUhZcdmm7ylVSpD/qqYJtFMEMzT2HGUiMtXxbsL+ecxQnLqnTU4f5YQt7Fk2bHEV1lHNieG8XxCeO9HpK4dQkraVPE4LZL4ztuYZfKXDhiObcr2KHjunqQk+PSYycjouUpzzhVuOjHp/jM0b1KfIRM7kg7VGYmIhVeyvbcD3w//52f0uvhoh+UeRoGUHnNpf1jF4zNLmBSN0ybCJPIZs5P3ldOHuZv2QSVGx1wbIdjk0jrmWtT4wJiid4WyR7BYlZOxPeY/6VD6i+1vPhr+Z9/1poxmFj9DC6dcmbw7EBzG5FxbAtghdXw/sF9BPQ4A/t7iOT37djEp7i70yPavbmngFahjolqvUpUYexOpPkVN9Pwj23hwWAz2JNh3hIl2jzBxHdTpeyZuczgJM8hNFr1ZNBa/i4FJmbI/gqkMnIZxwN8ffk/HOJBbY+L/lzCi7BPhvgWwDfFu4Xgf4O7wf8Fwz+odvMcJmLrEhzCpVE88I2ae0St7wGRsHkSEk5yS72AuwTkLvWeaDJwJkn12ifx3AkcV1Ptomh0J3E8BY6ig7JjvK8aRzfzYJvi3oY6vS127iLCJqFsiImA4Zgv0LOYaPXEMNDEczwL+L5W3p0zGcM+OIe0Uyjssda4pZe7dJ7TrNGxzunL4TST4X0vlrVSdMaK9syneAG9AJkAx5dUkS9uFVdSuLGGyPiWCQUc+436KCbWWm/Y+9W0v1NpnYzb/eVLDvPHxAGYrleRNO8D4DjClw3pMIzjZyqnHyaTsJcO5lk65MnljbBgPwhhtX0iNrQ9gUr3/pL/xuiQaTrZWHHRdStd50BWoY6LCjRYVGXsTqT5FTRbGyDaWdnUb+57pQNKJOU3YEYs7syMFDhSwDeMRBdeOINgyhP8jlHSHHMbp+h2+yzKudLcN42MGrT225UlLXqM39oBvpsHFf4A2TnIiyp0vlLt/OO4l0+QaasAEITK8B6a2+0qYB1YJ9d4E41S+SDOh9TmMMfSGkmXHEF+1CI9SYb9MwJgyiXH/EcBdqeufAv6TOl4IY1AkkqtnU//PJxBvIW/XTEZ6x2S5n5R2QObaMaQ0IMK5StQZI+s8A/hSwfvbE7gvlbe0GhyZTXrmmVuk+7vi9k3E1saeq2VijFQN88dAN+1Up9Y+g2JitGl8hHMvpua950mpMJNRUYysxxbYGvsDjOk7F3O2dTTGMPh4Jn87p1ybpfIWaqZg8+8zqWPBGC9zsbVjJDz/NeC0fvV35LuLdgw26DTwCtQxUeFGi2qNvaPUp6jBwthhO1fGXNwWurqNfc9UJ+mcECatHQuub0zgnmOStxFKukMO4/R/IuuT9sr1Wmpcn03KK1eY2GdjBPAItiCcgy24/ySlqkNFKoShrJ9ii3/WzW9XMcZoEGoP0HumSay77AWwQJ830oYo7qCNUQsSZueVuIBPVIJeYLSq2oWhrs9g9g8tHbfEfF/UJDxKVSnVL8+H9/gSsHfq+rFYoNbsfatgdmcHhN9VcvLE2npFb2ixoN3rYqre6wKLFbRznnQq59rGZKQPqWs9VWeM7JvjMbXUdVPv732Y++8ZNHuqvJ3WanDPYJz7q8P3dGvqOEk3hnHwqz628XmqsVdK5tSBb9qpTq39hNDGnduNj5D/HmDL8P82UlItzH50Zhdt/CymkZNWXX2YHJX0TJ5c1WxsfT8nHP82dZykn4Xyr8gp/78wM4yv08PwAxWNDSfUxkKiD9ImahS/jAEujBW2KRFvb1rmPVOdpDNZvH5ecP0UgrdKzGPkc5R0h4wRK/cDe2FG7QvTwrifCK9cmLTqkOykhhlH3wz8bypvlUF2ny6aVOkuxljSrkuohmkS4y771JDv15ik4fBsavOsnkhAUuUtinFpt8ckapNy8kxtlzr9vmjPZHkReF84fpIcwpYeeBytKqXG3jfoccBwjHkzk3zVrDz31zEqqfNj3uYSN/1pQv54MqpzoazjC+p5PBnpQx0SplKeeDNNbHlnYHPy79JtpL2a5CvhHV4Yrv0xdZykn4ZxkGsTVFEbL6HA1rtH4/pT2L5pYJt2qvMFsBANYrTl+Aj5TyEQqdg+ZAQjzqeGMnK/j8g6rYTZwK1CgeMM8h1xpdOB2J5jWqjjP1LHSboB+CHN3monUxBmBNuPTO5330eMUyfUhj1RnVepSuOX0cztXIcCbudYT8AbUhNqGRfp7TaHHW3aU5PCCPAbLPDpp8Pv78L5PUPe72AxUCZTzh1yliPW0rifCFe6NAdzfZUUBxbYEngodVxlkN0XKSbUPkUPYoxRIdOEcm6FH6ekLRUVhp2oMnXyfbXol2MIRCkRsbrqkrLfXo/LnozNe3+mnDQ3RiX1ZIw4+Tq2KVwi/B4Szp+cKXsvGtL4TTDJw8fD8WsUOEipQ8LU0o7FNA2OIyf+JHFqkj8itcEdcNs+Fup+IqbFsSo9iIFIpKp1xW2sSkMm6ecvtxsfIf/rSWk0YWvnTzFziK/QoX04psZc2pshrYOcz09zkPOp5EjrC+4dqO1ll3048HFaus6DrkDdE733KlWJR0kiuZ1jPWEBNhUTx5d+z/R4056aFPbDvDQmKiGvhONPp/IuRUmbn1Q7dmyVMvlLu9INC10SSPohUu7FMRXMdFyjrqWRFLtqrzrG2BUMOOg7JvnJXehz8lamZhrKWxrbgFyFeSu7CiOM3tSjtrb9vqiYmTXoRDOToKcBw1Nl30Y5aW6MSuozFKhaY/PbMznnd8PWu6QeI+F410H3Q05dJ4bvaZOS+UurSdYpka/21nUMxNQ7+Ca2Jvw+/O5GTkiGittYlYbM8hQzDpsInj704WMY86Qtc46KCCpa27OtTz3DPA0doTY/jpZQ1ZcxrmOvsBVmjzBVRObLXJuOiaE7wUkYUXIUxq15Att0bY2pVkzE4kqMF2yJEWq3YpNUGqPes4gsgnH8t8a4vfNjLvFnYhvV6Zh6YKeYqqrfEZEJwBuBJ1V1JJ1BVf8jIpNFpKiMRGpyr6rOUdVzI+vwMLaRuDrn2gcx27MEt2Iezf6ASQIPE5HXMALzMIxjn2A/4LuYmsufwvUEW2LvcR5E5CxAVXX3cLwt5hRhPuAFEdlEVW9MlT0VeFhErsCkT0tjnHnBVIy6werAR7GN7OzU+Usxu7Fu+rwsvo8557iyRN6lsX5ERFYE3glspaozReRszANdRxCRdbB2vxbq8o/wvN2Br4byv62qT4rIHu3KU9XTU2XHfF8nYao8pftFRBYHVgPeBlymqs+IyETglex3ViN8D9N6yEKwuSu7PsRgV+BuYHHMLu2lgnyXAUeJyJsw27cpqWurYUyaBCMY8Z6HO0Odm6Cq3xeRH2ABf9+CbS7/rWHHVCeo6mwRWQxrZxl8AyOqr8XGMZha4ZsxBtCx6cwisjzmHW8lbD3OPv+zndS7A2zYzc0isgrGWLtFVR9NXVoJm5sOxOJZPoGNoR2Ab4R5/R/dPDsC6TXpWtqsSRH4FznjPGB1jPk66rsVkZUxU4W3YOFwblXVezusA8B7MG2KzwJ7ici/sbn/AlX9S07+wk0FNhbnZOq7DGaKsSyjx+pbMe2cBLuKyCY5ZW6OaVDUEbWbf1pi0JTieEtU5FGSDridYzmRUpkr856pTtIZ6yI9l8OZOU5irs0XWZfSrnSBtYBtw//FsA1IwqH/M7BCF30TJRWiuhhjChyS109UHPSd5mDIX8U2xFNpEyyZatVM/4oR8Vnp5SKY7ZMSuKeUME7v9PsiwnMhRvAdT+N7T0vffk8Ftjg96Ptk7P2HLgKGtyg7Zr6ZREmVVIywvLCgnF+SUX0cxoRt7nPtiVvcU0ZN8gOYdsvdYYz+lYb32hnA1YNue0HbYuIfXgfcQUaqhKnd/R340wDq32sNmWR+y5OorUPKK3M49waMgEp7QR4Jx1OI0KBpUac1gG9hjNaR8PtNOgxyjhGys0M/P4KFFkqnpzDb4CfDWH4mdZykR7B1unZSq9g5sg7JJWr9xzTsA8nj6HwGMzTtBNHczjGOadiGJw9577kqSWeC40RkVtFFbXBTP4oZ7F6KSbKexCRwW2B2ZAthXgK/CuwgIs+0eqiqrpA6/DYmcTiPhpTxRmziOgu4XUQWUdUXVPVmzGkIqjoL2EJEFsQCfD9Xss1FiJIKqep/MCIzGkXcX1WdKyIvYZzfPCzKaElsL3FqzrnlyB+zCpwR/sdIQGKxCkYEvtj0cNUXRORE4EOqeks4NyGy7JjvayFsM5CHbL8cg6lW7YURug+krl2CcdQPj6xrv3CCqv7fICugqs8CO4vIqhhTay8ROUdVZ2Ke7Wamsk8HthaRu7C5KdHa2ALrl++kJK2qqme04cyrqh5YVds6xAzgsyJyKzYHP07z2pm0ayJGlHxNVS/HNqWtcALwK+ydvgrsoqq3icjaWBid43vcjrYQkQ9haptLYE6brlfVP2eybYK53U9wNFbfAzBHGUdjhCqYVsbnVHVGugBVnSEih2FeA/uCbjVk0usGxihcI3X5KGA1EVktdW4iJt26L1PU6RgDbQfgIjWp7cRQr1PD9S901MgAVb0d80B6sIh8AlvLD8bGWTL3Kc1SxTQexGzuEhyLSYR3UtWnWz1bRB7EvFre3mH1K0OrtR9zNjc8GDSlON4SFXmUZBxwOyPfR6xRfVWSzoR7Po1mr3h/C+PgEVLcVNrHXPsXtujfgMVTehjb1F6A6atfEI5nUOxxLdeVLik9dmzDu3pEO0vFXAt5qzL0jnK0QU3inUW2sbQEpIOy/4JtIPOu7Qb8tcNyk+DiOxe866bvK6ZfMFW6Lxfk3ajT77ZHfVXojZPIgOERz4xy6ECEPSDtpahZu6d2nPkHBtU3Ld5HaUkxNrd9rGS5T9NQ1x6hWRK1MymJRh/auDBGhCa20o+F37mYFPr1qbwxzmbuBrYreObnMJX9frUxRoLfbt1IYrem7Szz0r/IhKPAQiHk2mNic2rXWhsYob0rpq7+CrYv+Amjg5xvQIkg55jkNzesRl1TiT6spZOt0u0bdAXGY6JHHiVpVo/aJ0xMd2Fi8H3D7z+wzfzeg253n99xrFH9NXSxaacDF+mYdOtWUhu2VpMko2OuvRbqXaSqdmjkO5tFw4HICEZcrljivu0pGXMt5G9n6P0SxskslVL3xqpUDmvQ96spGXYisuy1sc3GtpjkFMzZxXbhfEceb2kwKy4r833F9Es4LnKRvil9MmYnnkkQFTA88l3HqD5WovId7r8bk7wt0Y8+6HciQk0SY55tGP7PxCRPybWNgRf7WO/TMHW1bQheB8O8sg1GUKZjfcU4m9kCm+8/lHneWhhj4tN9bGOM+nS7deNqOiB4QlmPkfLUnLm2OR3GUcNUKnfECO45GKN5Cqa5sGCX7+4KzAat7dof8r8X04L5V6hL8p6PATbtU39X6mRr0GngFRjPiS49ShLJ4Rx0eyt6h20JpDLvmbjNYc+4N5gKxN2p4xkUSD8ZHXNtbotF4BPAY5Hv8lKMqP9laIuSH8x4CqmAxkTEXAvnJ9FaKnQH5s66VErdGx07hyEL+k5k2InIsp/EFvzEHvLZ1P8X6TA+WWpczCnzfcX0C8ZMOCXznOR9nAxc26d+iWUSRAUMz3leT2LnEbGhjSx3AsZI2rGf30c/E8ZUmhPmsaMwxlORbel1BMkKFi/xljBHvR2ThNzRx3rPJIQVyLn2JVLEA3HxD6eFuWEuRqD8LfzODedzGWwVtbG0hgzVxVybgBEvNwMLZa69HtOsOazDsmeHel+MMX0W7qScgrLfS0NVchkysVlplrhuis3R12Jqlun3fBh90kqpqg/rktxGbYDQLj1KarydyFAj0lvgPJR5z6p6vYhshBmDn4qpqByJTbIfVdVpqewxevvtMBez30hwPHBy8BD2W0bbqH015NsQm0zfVFDumzEOYAx2xgiuVULZgnmNW6DNfSsCN6jZfc3FiAlU9XkR+TbGeT4xyazt7WJWAG5U1ecj6/80jffxUWzDcWc4FnK8canqDcB6IrIQ7T3k1QHfCb9fAc6lt54qT6NaW9bdsf5t933F9Ms3gV+FfBeG+q8hIltiBOGnqmpMBrHeOJfCNnFg39cbiwrudN4riRh7wBgk39u7Orx/GHAi1s5VQ8pCadiWnk3DDvPrGHF+Tzh+EbOb7hcmEcZqDh4mzN8BMd4T7wypDojxBRC9brSCiCT2hoKtZYtgXouvpGHXuTG2J7k1puwUdsds3rq1F8/D7eH3CIrte5N38i3gXFXdTUTmz+S/HatnP9DTPqwdBk0peup/oqE+VUq0XZdEn8TbtJHAEcm9ISdGEmac/DlMVeTqTP4tKRdzbQq2yfoMzapq24TzP+viHSSS2LYqVETEXAvn2tnFjBAkLETYylFR7Jw6JUwCMkK+N9NKPVV2UedsPXsdm/KzYdylNQgeBj7bxzZW6Y2zsnmPHttp0uC6J2pi92EqWi0588OYsu8r8t5FsLXiU8DSfa73zZhKqmTOSzh/U849PfWe2Ic2xmjI9HTdoNkOU8m3z0xSHe00/zuM68NoE581vOMi1fMNgNl9qvOYXvsHXgFPA+j0IXRPGupdC/E2kZsyRrvYT7vaL3R1jxHUbyLYEeRcn4Sp0STlz0qVezEwqR9jBPOu98/QJydj6i67hUn9X2SCUtPeLmYuzbZypWzFqNDRRl0SkWEnIss+kQ4DLfdqLHX5nJUwO7tVyGxC+9AvlW0Uqpz36LGdZmauU5qdMIxK/eyjCvo8Zo6sDXMUs2+eg9khHUfDnv2eMBY2TOUd2uDzlFefrmTdqHrew4JvHxrqPMo8oYtyY8b1DIIabc56tCdwX5/6ekyv/a766Bgm1EW8HesiPS/A6Gws8OsjRQ9RC9T7eIvrzwJbisi7sWCab8bsD6Zp/wKLgrn9vx5TlToMU/E5HeuPaZjdQxrtXLUr8AMRSVxFf0tEni54tqrqtuFPjKvxYUVs2IkYbA3sKyJ/wRa9n4d32gtoj8opfoDqfYx2j90vtFURC67rL9T4gOGVzXsap/JdBjvTUJs+B1Ofmt5p/cYQBJMwnCoi78TU3T+s5qL/GMw1/mX9qIiqXi0i78PG6DY0ApH/GVPXTa8dJ1Ey+LyIpNfBomf3K6g3WlJ9ehjXDRH5ADbPPIwxqO7AiJXlMSboP/tUlQuwvdA/gJvCORWRlbDA5z/sRyWGsQ9j4ISaY5hQZQypGJTW2w+xx9YFfqeqf2tXcCeLXVhYWxJmIjKBwDVX1fvbPSMpukV5k4HbVPUFbIFP6jKL9jHX2tnFvIhJBBNbucUpsRntNnbOkOAwbMydgbVVgc1EZF+MUJvcacGq+g4R2RBTfTkBOElELgbOUdWruqy3dHl/o6ASRE4KqqpntM/WHUpuFJ7FbFKeJD+OXlORGLMDKp73ym5oS5Z1LkBgwJyDzXu3dVO/MYJNsG9gKYzjf3jq2hzM9rgvhBrMWzO2K5E1Jv5hnp3lEsDK2Hx/byd17Rbaxka9D+vGW0VkN5pj1l0HnKiqD3RYZj/i8p0hIm9hdPxDVHXp8PcbmCnHtTSIoUswpvEVWEy2yjHm1/5Bi/Q89T8xvKqPtRJvU1JvHyM81i9Z5tSclBtzrco+b5ef0THXYsq+hvJxskaS55QotzJX43VJqfd1GxV6qsRUnnYB/hTKn45JWnLVdMM9PfFEWKJutfN2S4UqYnWb9yLG6VyMaF0M26RuE34XG3T9et3GEnlvx4jv92ObyKzK8qNV1rVFvZbFtDGWLbjedXxRcsLQ1ClVtW6kxscLmBORczAV03MwTZlny4ydgrKfpqK4fMDnw1hNvD+3DLcT7tkII8rOxqTzG4+FPqxLGngFPA2g04eUUEvVf6CGzURuyjBi63+6fGZXi11Rn9Ph5prRMddiCLWqgr7/B4sjuGLOpqKWjjZatKUnYSd6UI8NMWItcWrzGsYx/SljOMBoB++p8o3CoOe9yLom39+52EY1TTy/gHH8c2NPDUuKWUfDfFdkW7oBfXK6kKrPVzC1ucSmeW4Yv3tk8l1DD5zNkAlDU6dEdSEqkviRf8nO0ZgznWvonPHadVy+ojWGyHA7dUhV9WFd0sAr4GkAnR7BCaxToiaGzURuyjCO5f3AXpi73oXpwPtZN4tdatH4ZepcN/HfOoq5lrq/5/HLqNDRRsXjqWdx+XpUn+Ux1awHQj0uDWNvQSxExN/C9zdUAUap0KFDmY0C+d5fC1Oq7FrMewXtLmQoYI6FZmOE5SqY2tcq2CZwNgXxIuuWWrUxoowZLeamvjldCM87LIyhszGVzPeH3+9jjJjDUnl7wlQL76+Wm2W6lBq2+QZepHWs044CnRMZl4+INQZjpGwQ/r+a/A/HWwIPpY4fwmzU3zfMfVj3NPAKeBpApw+pRI2aiLeJ5N6QUcXKSyWf2/FiR4NQ+3rqXMeb63DPKWFRSDy8TSNfdXNqi3J6JhXCOJRK/mYo2tV4H8d1X8JOlKjHFzFC5jWMSPsGOSpRmDMTpQYeWCPbV9m8V2aj0Or7z6Qmlc0azXtRDAUsmHeuJgFm5/vMoMdEt22MKPeE8M3snBof78McQcwADu9jGx8Hji649k3g8cy5st4To8LQ1CURp4of+w38B9ih4Lk7AE91WOcvAt8I/99FQzo6N9TjY5n8pdcYIsLtYJ6CHwrPvQ8L/L5anftwGNPAK+Cpws7tk81IH9tTC/E2kdwbbDO1Y6uUylvJYkeDUNslHPdsc02k6mOF/TI5tPHP9FClsg/1rkvYiZeBnwEbtcn3lrAZqCRuWIXtq5JQa7tRwAjc0ilVdl3mvSiGAqae9fGCsj7er3FdZRsjyl0ozE1zsY3wCEagvQL8jj6qgYZvN9eGKMw3ud8u7eOLFjEiRmgRhmbQibiYa7HfwHnAo8C6Oc98BAsW3Ys2tIzLR8Qag6m27x/+tw23E/J9GPgexlCaiwU+/wZ9CkcR04fDmAZeAU896siaqU9V1MZaiLepkHtT1WJHg1BLJuDozTW9UQGqUv2sL442Kqh3ZcGSI+uxeETeoQswmv1We1x2ZRuFGs17UQwFbON2YUFZv6SGqo+xbcy5v+UcyYCdLoQ6/Bg4o+DamcBPOyw3j+HwIeCtg+7XEnUvKzWM/QaWxELXzMVsyf6GET5zw/OW7KCuEzEzgw0i7im9xgBrAduG/4thhFvyXlruQTDnJuthXm2fAF6rWx8OY3L3/GMHmwAHp46Pxty0HoCpqB2NLRLDjGmYusDlOde6jSEVg0OBq0TkKoyLpvTIRTodxlyLwFdE5CXauPkWkbMw1+a7h+NtgfOxjeILIrKJqnbyvpN4Qot2VPty2BW4my5djfcRtQg7oarPRGQvHaJiPEC7iEcWQmfkucBOxm1d5r2niYvnNh3YWkTuAn6DbdyWBrbAvv/vpEItqPYhjEIJlG5jJ3Okqv4R+GO1TWiLy4DjRWR5LAxK0i9bYg5rDhCRzZLMqnppmUJV9dqe17RP0PIhKqK+AVV9ClhXRDbBbNXnxaxT1Ss6rOtsEVkz+6w2KL3GqOrN2LyFlgu3k8bCwHKYrdwkzKa2L4jow+HDoClFT71J1ER9quI21ka8TRvuDfAgZudTKoV7FsQM7Vfvol6tDJsnUdLNN9WpAFUp1RhWJzml+6XieiyABbC9EVPLeiKbcu4ZRk+ElY4PSthdYpu6AzF15pZ2q3WZ94iUolLDMAq9bGPMHInZEa2VGSPHYoTSV/vcxkr6pU5trMP4COeWo0CtFQvTsFyH9TgPOCUif0drTJin3ghIi7IXAj6LxXV7KcxVv8Hc/C8y6D4bC2ngFfDUo46sifpUH9pZK/E2BZsyzMj2hFR6GLPZuADT+74gHM8Ajk/dFxNzrSN1V0psrqmI8Kd6Qm3gtnJd1H/QYSdODePn11iQ0MOzKZW3tp4I24yPWhDywN6Ys42Dw5g9KrzjuzE7kF0y+Qc+71EThkJd2hgzR2JOlY5JHZ8W5vrLsc3t/n1s49tjUkS5tWljHcZHODcv3mhOWR+gQwYFsD225/sl5qBmc8wj77xUcF/Z2K+bYQy7ZG6fE443z+T7BeYl8lXgD8B/M0biJNYpDbwCnnrUkUNoM9JleyuPIdXDun4ds2tbOHN+kXD+0NS5qZSMuUa8YXPpzTUVEf70gJhi7DnJqQXRg3mD269k3lp4IoxsX20IeczY/mvZOmE2nL8Hjiu4b+DzXtnNXmSZldmuVtXGmDkSeBL4RPi/ABbseLdwvA81jTEW+c7GfBtjxkc4N0IxobYO8FKHz4+ShMasMTSk9ldgqu1bhd8rwvkvp/JeE64tNeg+Gctp4BXw1KOOHAfczmFNYUFvFUvlsdRx6ZhrxBs2l95cUxHhT+RmmfHhJKcWRA+m3ljKuQE18URYULfaE/KYpGFy+D8H+Ejq2ubpOaEuiQoZCrHzQh3aGDNHYhKlpL/Xw0JgLBmOJ9Phhr3DNlaiolinNg5yfADvxWxKdwhj+ojUcZK+hKky395hPaIkocSt/dNp7WxmRod1rhUzZpjSBBxjAqr6rKruDGyHxbbaS0TeHC7vjMVHcQwGk2gYIGfxZmzyT/Bn4L8w9cj7MWLk+UxKEGvcvxVwoKpOxRaYNKZjE3yC/TCD4iqcRWhE3k2AP6WOEyc5y2CqFkd3UY+6IKZfqsT3sTAQZbAQprqbh0UZ3Y5KICJniciZqeNtMWbVRcA9IrJ2P+rRAZ6i8d3PwGJqJVgce791w0nA2thcsyg2xyS4FNh0EJXqMWLaGDNHPoB500uu/VXN0QTAUjTP61XjdOCTqeMTMVXcicC3RWT/DsutUxurQpnxsSVwbkiKjYtzM+lM4B2YTXAnUEyCOz2bMMZwdo2NWWOWxObPPPwKC1zfCfrhSGxMwr0+jhGIyCKYRG1rjJM1P7ZQzMTsTaYDnU7Aju7wG+AEEXkO+K2qzglelD4FfBv4bSrvzpQnZGK9BZbeXKvqs8DOIrIqFkB6LxE5R1VnhjrOLFnHPEj7LPOwNGbfh4isCLwT2EpVZ4rI2ZiO/LBjYERPyuseWJ9+XkSmYsyeWZnsqg3PfHXxRDis3m5vwKTnl2Kx644QkSWwuFp7MnjPgHnYCthbVaeKSJ6Hx34xFKpE6TZGzpHfBc4QkW0wovy/U9c2AO7oeUuKsRrwHQARWQD4ArCPqn5fRPbBVN9O6KDcOrWxKpQZH8dixK9gjNaPYPNlGq+o6qtd1ONBLHbZLTnXVg/n0/WLWWOmYqEVrszJuz7NjFNHH+CE2thBmtNzA+Z5J8GlGOfGCbXB4CsYF20KoCLyPA1u3G/CdQBU9dyIcmNdpJfeXHdL+IvIKpgK2i2q+mhyXlXnQpQkP1ZqOIwYJNFzas655bAFOQsFEkKtyhAVMRhWQv4I4K3h/7FYvKKdsA3VlcBXB1GpNqiFFLVilG5jzBypqj8Ukfsx4vwgNTf9CZ7GYs71CwtjBASYBGxhGhKU2+iQ4K5ZG6tC2/ERCLCECCu91oUwHVdhNmD3t8ve4tpERrvFb7fG3CEi7w7HJwM/EJElGR2+YVMs/I2jj3BCbexgPHA7hxKB87plmAjXxNQdZwLTVPUfXZYbI/WK2VyXJvwrjLkGNYkxVjEGRvSoakfq79pF3LAeYygJeVW9F7g3/J+DqZ7tPdBKtUddpKhVIqaNUcxRVf0TOdIIVT0ifRy5Ye8EiYrin+iximKN2lgVqvwGWqoGish7gTVSpzYLDNE0JmKu8u/LnG+3xiyIqYyn6/LlkJRmwvByajqvjlU4oTZ2MB64nUONQJSNIsxE5EGa1R3fgnnQeq2gnBXCfVFSr8jNdQzhX6X62ZgPrFwjoqc0wkbraIwh8G8GF2B0KAl5EXkb8EZVvS3n2vuBJ1X14f7XrCWqZijE2K5WhZg2VsUcrdqWpw4qisNqrzRITYItsRAe0LB9y8ODGIE1D+3WGJwWqDW8c8YOxgO3c6ziVzQ2KYIRJ2/A+jJRO9gY8xR3Qeq+aHVXVb0BWE9EFqL15jqG8K9M/axiW7naIKJf6oJ5Gy1VfRnzQDoIDCshfwbG9R5FqGExklam2eHDwNEHhkKM7WoliGzjUDJHx4mKYiUYMFOtK9u3MmtMsJ3/DGayUIWksw7MmKGDE2pjB3WxGXFEQlXneX4SkUPC383S6oJBevY7GrYF0AVHt8TmOobwr0z9bLw5yRkw0TN0GGJCfi3M81sepgI79rEupdEtQ6GHtquVIaKNQ8scHQcqipVhUEy1Xtm+tVpjgqOzH2BaMlX098CZMcOIWkyMju6hqtdj6mUL0szpWYGaqk85crEHRmSnpWOo6gsYN23P1OkqObqHAlsFwn9XGoT/T4BtaKhgQEP9bE/gIHqrfjYeXII7OoSILCIiUzB1rR9g6pjLhMvHUKweNGi8ntbc5YX7VZFOoKovq+qjrTaoQxw6ASjVxpg5clgxrCqKlaPMN1ATxPbh34GVOn6YyCoi8mkRWSZ9XlXnquqEPHVvR2s4oTaGoKo3qOp6mNrcspha0jqBA+QYDkxqcS0bcy3h6OahK45uJOFfZcy1usQYc9QTw0rI/53imHWfA+7qY12qwpiOgejMUUcFqINq4L7AASLyCRFpqXU37MyYYYGrPo5BuPrUUOO3WNDyjUTkLm0dc61SddeyKh4Vq58NpR2Io28YVm+3xwG/Ct/2ucBjmBOhHTE1360HV7WeYVhDJ5RGhWpwddiwV43x0MZY1EE18GJM4n8JFk7oGTJ9papLh7/DGsdyqOCEmsNRL+yBEWrfBo5rE3OtL4bN7Qj/iu3IhtYOZBygDhutoSTkVfXXIrIj8C3su0lcYD8CfEFVLx5g9XqFoQyd0AkqYI7WYcNeNcZDG0dhCOw0T6P83D7mmTF1gBNqDke98Bw2SW6DqTm2jLlWE2+BVQZbdyc59UUdNlpDS8ir6k9E5HzMw+OSGMF5r6rWgQDuBYYydEK/MAQb9q4xHtrYChXHGK0EWYcybTBumDGDhBNqDscA0IsFLMcj16DUXStTPxvGGGNjCUOw0RpqQj4QZfcMuh4VYVhDJ/Qcw7hhT6EU42DI21gV6qIaWBXzx5kxfYCMHeadw1FPtFvAgI4WsEAUvQp8cJCelETkRWBrVb08WycR+RTwY1VdrAfPGZYYY0OJqsZp1RCRdTBCfi2srooR8gfUyZGSiOwBXKiqT4b/raCqekY/6lU1UrarbwPOCWpRK2Lc9+cHW7v+QESmAwer6s/C8X2EMYpt2JdQ1drZ8sSsMcPaxiohIi8DH1PV68KYvxd4r6reKSIbA79Q1SUqrkPUPkFEptGGsFPV/xfyTsKYMWsCfwX2UtXnwrXrgBtV9cDuWuBwiZrDUT3qwlWrCn1RP3MnOZVjKMdpTdR/y+BU4FbgyfC/FRQLij20GG8xENug1rY8PZKc17qNA0LfVAN7qP1wF6MJtSWAD2Pr77wA6RU7EnMEOKHmcFSPsb6ADbX6mWMehnqc1p2QV9UJef/HMKq0XR021MaWp0IVxdq0sUaoRDWwSjVTVd2p4JmLYA7Nbsycc2ZMxRgPi4XDMWiM6QXM4wmNGYzpceroOzwGYgPJhn1P4CAGa8tTVXy7OrWxLqgqxmjfYxSq6gvAd4BDUqeHNY7lUMElag5H9RjzBrdDpH7mKMaYH6d1gYish9nsXBKOlwJOBt6NqRYdpKqvDrCKvcBQhk6oCHVyrFKV5LxObawFKlQNHJT2w2LY+p5gWONYDhWcUHM4qkeVC1itvAHVXf3M0RK+0eofjgd+hwWVBfg/TCr9a2AnYA7w9YHUrHcY2tAJvUbNbHkqkZzXrI21QIWqgZVpP4jIZjmnXwe8C9gXmJo678yYPsAJNYejYlS8gNUhlpVjDMA3Wn3Fyph6MCLyeowQ3llVLwhe177O8BNqbrsaUDNbnqrspurUxrqgKjvNKrUffod9q9m9xasYY2mv1DlnxvQBbqPmcFQMEVlERKYAdwA/wPTHlwmXj6FZcpF3/yoi8mkRWSZ9XlXnquqEQbrmd4wddDtOHVF4HY1N2zrYpvb34fg+4C2DqFQv4barTaiTLU9VdlN1amNdUJWdZlV9CPAO7Bt9Ryq9BZioqp9V1SdSeQ8FtgrMmF1pMGN+AmwDHN5FPRwBTqg5HNWj9AImImeJyJmp422BvwMXAfeIyNp9qbFjPMI3Wv3DPZhDAIDPAzelYootg6k2DT1U9QZVXQ94A7AssKiqrlOn+HZ9Qm0cq6jqs6q6M7AdcCUmOX9zuLwz8M0Oi65NG2uESlQDK+xDVHV6Tnpc84Mu34i585+EM2Mqg6s+OhzVI8bgdihjWTnGBNwwvH84CrhQRHbBNjlbpK5tggWPHTNw29X62PJUqKJYmzbWCJWoBtZIzVSA9wEfBO7GHYlVApeoORzVI2YBy/PmdHywEzobmxQdjirgG60+QVV/gxnn7w6spqqXpS7fhG22HGMHyYY9D/225alKcl6nNtYFVakG1k77QVVfVtVHnUjrPVyi5nBUjxiumseycgwKbhjeR6jqA8ADOefPHkB1HNWiTo5VqpKc16mNtYCqXi8iGwHH0awaeDPdqQa69sM4ghNqDkf1iFnAPJaVY1DwjVafICJ7tMmiqnpGXyrjqBwVbtg7QVV2U3VqY21QUYxR134YR5B8+0CHw9FLiMg62AK2FiYVU2wBOyBtWC8ik7BYVmtidip7qepz4dp1wI2qemCfq+8YJyg7Th3dQURGWlxWAFV16fkYRI837J08/xrgUVXdPkhjXgU+qKq3iciPgaVUNS+WVswzBtrGsY5+9GHJejQ9u+rnjVc4oeZw9BFlF7BULKu3Aeeo6sxgszYz5R3O4agEvtHqP0RkMeDjwIHA51T13sHWyDEWISLrAlcB12OS89MxW6mVCZLz8Sr9GhbUpQ8DofYKsKYTatXBCTWHo0Yo8Oa0ZuCUTQGmq+p4CxrqcIwbiMiXgO1VdYNB18UxNuGS8+FHHfrQJWr9gRNqDkeNICJnA5sBXwRuwILiJioNOwH/q6qrDbCKDoejQojIxsCvVXWRQdfFMbbhkvPhRz/6UERWAVYBblHVR6t4hqMY7kzE4agX3JuTwzFOISJvAfYDHhx0XRxjHx7fbvjR6z4UkbOsWN09HG8LnI9J7V4QkU1U1T0A9xEeR83hqBfcm5PDMcYhIk+KyBOZNAv4N7Ae8L+DraHD4Rin2AT4U+r4aODnwDLAH8Kxo49wiZrDUS94LCuHY+zjNIJ3xxRmY4Ta5apaxKxxOByOKrE08DBAcGD2TmCr4NDsbOAXg6zceIQTag5HveCxrByOMQ5VPWLQdXA4HI4cPA28Kfz/KOZp+s5wLJgKpKOPcNVHh6NGUNXrgY2ABWkOGroC4zhoqMPhcDgcjspxGXCUiOwJHARMSV1bDXhoEJUaz3Cvjw5HTeEeuRyOsQkReR2wD7Al8FZgYjaPqi7d52o5HI5xDhGZBHwXWBP4K7CXqj4Xrl0H3KiqBw6wiuMOTqg5HA6Hw9FHiMgPgc8DlwD/xILGNkFVj+x3vRwOhwNARFYF3g+8DTgn2KitiKlCPj/Y2o0vOKHmcDgcDkcfISLPAAer6pmDrovD4XAkEJFFgHOArYHXMF8Wa4ZYrlOA6aq6/yDrON7gNmoOh8PhcPQXTwMzBl0Jh8PhyOAkYG3MkciimJ18gkuBTQdRqfEMJ9QcDofD4egvjgL2E5GFB10Rh8PhSGEr4EBVncrouK3Tgbf3v0rjG+6e3+FwOByOPkJVzxORdwMzROQvwKzRWXTb/tfM4XCMcywEFMVxXJTRxJujYjih5nA4HA5HHyEi+wH7AzOBhYEFBlsjh8PhAGAasANwec61zwA39rc6Dncm4nA4HA5HHyEiTwI/BfZVX4QdDkdNICLrAlcB1wMXAqcDhwMrY4TaZI/n2l+4jZrD4XA4HP2FAL9zIs3hcNQJqno9sBGwIHAqNlcdCawAfNSJtP7DJWoOh8PhcPQRInIisLCqfmXQdXE4HI48iMhCwOLALFV9adD1Ga9wGzWHw+FwOPqLfwP/IyJXAVeT70zkjL7XyuFwOAJU9WXg5UHXY7zDJWoOh8PhcPQRIjLSJouq6nx9qYzD4XA4agsn1BwOh8PhcDgcDoejZnBnIg6Hw+Fw1BQiMkFErhaRFQddF4fD4XD0F06oORwOh8NRXwiwARZs1uFwOBzjCE6oORwOh8PhcDgcDkfN4ISaw+FwOBwOh8PhcNQMTqg5HA6Hw+FwOBwOR83ghJrD4XA4HA6Hw+Fw1AxOqDkcDofDUW94HB2Hw+EYh3BCzeFwOByOekMGXQGHw+Fw9B8e8NrhcDgcjgFDRFYBVgFuUdVHB10fh8PhcAweLlFzOBwOh6OPEJGzROTM1PG2wN+Bi4B7RGTtgVXO4XA4HLWBE2oOh8PhcPQXmwB/Sh0fDfwcWAb4Qzh2OBwOxziHE2oOh8PhcPQXSwMPA4jIisA7geNVdSZwNvC+AdbN4XA4HDWBE2oOh8PhcPQXTwNvCv8/CsxU1TvDsQDzDaRWDofD4agV5h90BRwOh8PhGGe4DDhKRN4EHABMSV1bDXhoEJVyOBwOR73gXh8dDofD4egjRGQS8F1gTeCvwF6q+ly4dh1wo6oeOMAqOhwOh6MGcELN4XA4HI4BQERWBd4PvA04R1VnBpu1mar6/GBr53A4HI5Bwwk1h8PhcDj6CBFZBDgH2Bp4DTNDWFNVbxORKcB0Vd1/kHV0OBwOx+DhzkQcDofD4egvTgLWxhyJLIo5EElwKbDpICrlcDgcjnrBnYk4HA6Hw9FfbAXsrapTRSTr4XE68PYB1MnhcDgcNYNL1BwOh8Ph6C8WAp4quLYoMLePdXE4HA5HTeGEmsPhcDgc/cU0YIeCa58BbuxjXRwOh8NRU7jqo8PhcDgc/cWhwFUichVwIaDAZiKyL0aoTR5k5RwOh8NRD7jXR4fD4XA4+gwRWQc4DlgLmA8j1m4GDlDVGwZZN4fD4XDUA06oORwOh8MxIIjIQsDiwCxVfWnQ9XE4HA5HfeCEmsPhcDgcDofD4XDUDO5MxOFwOBwOh8PhcDhqBifUHA6Hw+FwOBwOh6NmcELN4XA4HA6Hw+FwOGoGJ9QcDofD4XA4HA6Ho2ZwQs3hcDgcDofD4XA4aob/D4ZUNhtbVWOJAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1080x1080 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.lines as lines\n",
    "\n",
    "# Pintamos...\n",
    "plt.rcParams['figure.figsize'] = (15, 15)\n",
    "plt.xticks(rotation=90)\n",
    "plt.xticks(fontsize=15)\n",
    "plt.bar(\n",
    "    festivos['Tipo de Comercio'], \n",
    "    festivos['porc_importetotal'].sort_values(ascending=True), \n",
    "    color = 'r', \n",
    "    width=1)\n",
    "\n",
    "plt.axhline(y=0.5,linewidth=2, color='k')\n",
    "plt.axhline(y=3/7,linewidth=2, color='b')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "f5df49f2-b4c6-4a2f-a719-9868feeb3457",
   "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>Fin de semana</th>\n",
       "      <th>Tipo de Comercio</th>\n",
       "      <th>Importe Total</th>\n",
       "      <th>Importe Total Año</th>\n",
       "      <th>porc_importetotal</th>\n",
       "      <th>nueva</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>es_airline</td>\n",
       "      <td>53.00</td>\n",
       "      <td>279.00</td>\n",
       "      <td>0.19</td>\n",
       "      <td>0.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>es_atm</td>\n",
       "      <td>820.00</td>\n",
       "      <td>2345.01</td>\n",
       "      <td>0.35</td>\n",
       "      <td>0.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1</td>\n",
       "      <td>es_beauty</td>\n",
       "      <td>921925.31</td>\n",
       "      <td>2662444.08</td>\n",
       "      <td>0.35</td>\n",
       "      <td>0.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1</td>\n",
       "      <td>es_bet</td>\n",
       "      <td>275611.92</td>\n",
       "      <td>574269.49</td>\n",
       "      <td>0.48</td>\n",
       "      <td>0.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1</td>\n",
       "      <td>es_boatrental</td>\n",
       "      <td>175.00</td>\n",
       "      <td>395.00</td>\n",
       "      <td>0.44</td>\n",
       "      <td>0.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1</td>\n",
       "      <td>es_books</td>\n",
       "      <td>261721.95</td>\n",
       "      <td>871855.12</td>\n",
       "      <td>0.30</td>\n",
       "      <td>0.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1</td>\n",
       "      <td>es_bus</td>\n",
       "      <td>75361.75</td>\n",
       "      <td>213727.96</td>\n",
       "      <td>0.35</td>\n",
       "      <td>0.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1</td>\n",
       "      <td>es_cafe</td>\n",
       "      <td>369472.35</td>\n",
       "      <td>774179.36</td>\n",
       "      <td>0.48</td>\n",
       "      <td>0.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1</td>\n",
       "      <td>es_car</td>\n",
       "      <td>662327.72</td>\n",
       "      <td>2492103.94</td>\n",
       "      <td>0.27</td>\n",
       "      <td>0.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1</td>\n",
       "      <td>es_carrental</td>\n",
       "      <td>52352.97</td>\n",
       "      <td>162073.72</td>\n",
       "      <td>0.32</td>\n",
       "      <td>0.32</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Fin de semana Tipo de Comercio  Importe Total  Importe Total Año  \\\n",
       "1               1       es_airline          53.00             279.00   \n",
       "3               1           es_atm         820.00            2345.01   \n",
       "5               1        es_beauty      921925.31         2662444.08   \n",
       "7               1           es_bet      275611.92          574269.49   \n",
       "9               1    es_boatrental         175.00             395.00   \n",
       "11              1         es_books      261721.95          871855.12   \n",
       "13              1           es_bus       75361.75          213727.96   \n",
       "15              1          es_cafe      369472.35          774179.36   \n",
       "17              1           es_car      662327.72         2492103.94   \n",
       "19              1     es_carrental       52352.97          162073.72   \n",
       "\n",
       "    porc_importetotal  nueva  \n",
       "1                0.19   0.19  \n",
       "3                0.35   0.35  \n",
       "5                0.35   0.35  \n",
       "7                0.48   0.48  \n",
       "9                0.44   0.44  \n",
       "11               0.30   0.30  \n",
       "13               0.35   0.35  \n",
       "15               0.48   0.48  \n",
       "17               0.27   0.27  \n",
       "19               0.32   0.32  "
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Vemos los 10 comercios más afectados por los fines de semana\n",
    "festivos.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b531b33b-eaae-487b-acd4-613f5d6ba2c3",
   "metadata": {},
   "source": [
    "#### ¿Puedes comprobar cuáles son los 5 tipos de comercio más afectados por el efecto semana laboral? (Cuáles son los que más venden)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f8c607a9-4ca9-4f59-836e-126eb7dd9ff1",
   "metadata": {},
   "source": [
    "####  Probamos otras opciones, como el código postal o el día de la semana (o mes), ..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "id": "434a24eb-ca02-4fa7-b801-78098e8a0899",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Miramos cómo influye en las ventas la localización del tipo de comercio\n",
    "# Me interesa crear una tabla en la que tengamos una columna con los tipos de comercio, otra con el código postal y otra con el importe total.  \n",
    "# Básicamente será una tabla en formato largo\n",
    "datosplot6 = pd.pivot_table(data = df, columns = ['Tipo de Comercio', 'Código Postal'], values = 'Importe Total', aggfunc=sum).transpose().reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "id": "203e473e-3040-49ac-8f75-1306fda416cb",
   "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>Tipo de Comercio</th>\n",
       "      <th>Código Postal</th>\n",
       "      <th>Importe Total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>es_airline</td>\n",
       "      <td>48007</td>\n",
       "      <td>279.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>es_atm</td>\n",
       "      <td>48002</td>\n",
       "      <td>25.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>es_atm</td>\n",
       "      <td>48003</td>\n",
       "      <td>35.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>es_atm</td>\n",
       "      <td>48004</td>\n",
       "      <td>195.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>es_atm</td>\n",
       "      <td>48005</td>\n",
       "      <td>120.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>658</th>\n",
       "      <td>es_wellness</td>\n",
       "      <td>48011</td>\n",
       "      <td>440.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>659</th>\n",
       "      <td>es_wellness</td>\n",
       "      <td>48012</td>\n",
       "      <td>14156.57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>660</th>\n",
       "      <td>es_wellness</td>\n",
       "      <td>48013</td>\n",
       "      <td>325.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>661</th>\n",
       "      <td>es_wellness</td>\n",
       "      <td>48014</td>\n",
       "      <td>6522.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>662</th>\n",
       "      <td>es_wellness</td>\n",
       "      <td>48015</td>\n",
       "      <td>55.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>663 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Tipo de Comercio Código Postal  Importe Total\n",
       "0         es_airline         48007         279.00\n",
       "1             es_atm         48002          25.00\n",
       "2             es_atm         48003          35.00\n",
       "3             es_atm         48004         195.00\n",
       "4             es_atm         48005         120.00\n",
       "..               ...           ...            ...\n",
       "658      es_wellness         48011         440.00\n",
       "659      es_wellness         48012       14156.57\n",
       "660      es_wellness         48013         325.00\n",
       "661      es_wellness         48014        6522.20\n",
       "662      es_wellness         48015          55.00\n",
       "\n",
       "[663 rows x 3 columns]"
      ]
     },
     "execution_count": 139,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datosplot6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "47c91f8c-ddf8-40bd-bf57-2362919f4665",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Tipo de Comercio', ylabel='Importe Total'>"
      ]
     },
     "execution_count": 146,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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3N729vdmxY0eS5HWve1327t2bRx55JDfddNPwuQAAAADOJ/GoQfr7+7Nt27YsXrx4eK2UkoGBgSTJ0aNH09LSkiTZtGlT5s+fn9GjR2fChAmZOHFi9uzZk0cffTQDAwO55pprUkrJzTffnAceeCBJ8uY3vznf//3fnySZMWNG+vv7L+wFAgAAAJeFy+K2tZGwbNmy3HnnnTl27Njw2sqVKzNr1qwsX748p06dykMPPZQkOXLkSGbMmDF8XGtra44cOZJRo0altbX1jPVvt379+syePbuBVwMAAABcruw8aoCtW7dm7NixmTZt2jPW16xZk87OzvT19aWzszOLFi1KklRVdcY5Sim160+3cePG7N27N7fddtt5vAIAAACAp9h51AC7d+/O5s2bs3379gwODmZgYCALFizIli1b0tXVlSSZO3fu8C1tra2t6evrG359f39/Wlpa0tra+ozb0b61/i2f/exn85u/+ZvZtWtXRo8efYGuDgAAALic2HnUAB0dHenv78/hw4fT3d2dmTNnZuPGjWlpacmuXbuSJDt37sykSZOSJHPmzEl3d3dOnDiRQ4cOpbe3N9OnT8+4ceNyxRVX5OGHH05VVdmwYUOuv/76JMkXv/jF/NIv/VI2b96csWPHjti1AgAAAJe2y2LnUct7PzLSIyRJ1q1bl1tvvTUnT57MmDFjsnbt2iTJ1KlTM2/evEyZMiXNzc1ZvXp1mpqakjx1q9vChQtz/PjxzJ49e/i7jW677bY88cQTmTt3bpLk5S9/eTZv3jwyFwYAAABcssrZvlfnYtbW1lbt3bv3GWsHDx7M5MmTR2ii5x+fFwAAAPB0pZR9VVW1ne05t60BAAAAUEs8AgAAAKCWeAQwgq679/6RHgEAAOBZiUcAAAAA1BKPAAAAAKglHgEAAABQq3mkB7gQ/nTt287r+a75xa3ndNzQ0FDa2toyfvz4bN26NT09PVmyZEkGBwfT3Nycu+66K9OnT0+SdHR0ZP369WlqasqqVasya9asJMm+ffuycOHCHD9+PNdee226urpSSsnHPvaxrF69Ok1NTXnBC16QtWvXZsqUKef1OgEAAADsPGqgrq6uTJ48efhxe3t7VqxYkZ6entxxxx1pb29Pkhw4cCDd3d3Zv39/duzYkaVLl2ZoaChJcsstt2Tt2rXp7e1Nb29vduzYkSR5xzvekS996Uvp6elJe3t7fvVXf/XCXyAAAABwyROPGqS/vz/btm3L4sWLh9dKKRkYGEiSHD16NC0tLUmSTZs2Zf78+Rk9enQmTJiQiRMnZs+ePXn00UczMDCQa665JqWU3HzzzXnggQeSJC984QuHz/vP//zPKaVcuIsDAAAALhuXxW1rI2HZsmW58847c+zYseG1lStXZtasWVm+fHlOnTqVhx56KEly5MiRzJgxY/i41tbWHDlyJKNGjUpra+sZ69+yevXqfOQjH8m//Mu/ZOfOnRfgqgAAAIDLjZ1HDbB169aMHTs206ZNe8b6mjVr0tnZmb6+vnR2dmbRokVJkqqqzjhHKaV2/Vve+9735m/+5m/y27/92/ngBz94nq8CAAAAwM6jhti9e3c2b96c7du3Z3BwMAMDA1mwYEG2bNmSrq6uJMncuXOHb2lrbW1NX1/f8Ov7+/vT0tKS1tbW9Pf3n7H+7ebPn59bbrmlwVcFAAAAXI7sPGqAjo6O9Pf35/Dhw+nu7s7MmTOzcePGtLS0ZNeuXUmSnTt3ZtKkSUmSOXPmpLu7OydOnMihQ4fS29ub6dOnZ9y4cbniiivy8MMPp6qqbNiwIddff32SpLe3d/j9tm3bNnwuAAAAgPPpsth5dM0vbh3pEZIk69aty6233pqTJ09mzJgxWbt2bZJk6tSpmTdvXqZMmZLm5uasXr06TU1NSZ661W3hwoU5fvx4Zs+endmzZydJPvrRj+azn/1sRo0alRe/+MX5+Mc/PmLXBQAAAFy6ytm+V+di1tbWVu3du/cZawcPHszkyZNHaKLnH58XXDyuu/f+bLnpxpEeAwAAuMyVUvZVVdV2tufctgYAAABALfEIAAAAgFriEQAAAAC1xCMAAAAAaolHAAAAANQSjwAAAACo1TzSA1wI9/7BT5/X8930CzvO6bihoaG0tbVl/Pjx2bp1a3p6erJkyZIMDg6mubk5d911V6ZPn54k6ejoyPr169PU1JRVq1Zl1qxZSZJ9+/Zl4cKFOX78eK699tp0dXWllPJv13bvvZk7d26+8IUvpK3trL+oBwAAAPBds/Oogbq6ujJ58uThx+3t7VmxYkV6enpyxx13pL29PUly4MCBdHd3Z//+/dmxY0eWLl2aoaGhJMktt9yStWvXpre3N729vdmx49/C1bFjx7Jq1aq8/vWvv7AXBgAAAFw2xKMG6e/vz7Zt27J48eLhtVJKBgYGkiRHjx5NS0tLkmTTpk2ZP39+Ro8enQkTJmTixInZs2dPHn300QwMDOSaa65JKSU333xzHnjggeHz/fqv/3ra29szZsyYC3ptAAAAwOXjsrhtbSQsW7Ysd955Z44dOza8tnLlysyaNSvLly/PqVOn8tBDDyVJjhw5khkzZgwf19ramiNHjmTUqFFpbW09Yz1JvvjFL6avry9ve9vb8qEPfegCXRUAAABwubHzqAG2bt2asWPHZtq0ac9YX7NmTTo7O9PX15fOzs4sWrQoSVJV1RnnKKXUrp86dSq/8iu/kg9/+MONuQAAAACA0+w8aoDdu3dn8+bN2b59ewYHBzMwMJAFCxZky5Yt6erqSpLMnTt3+Ja21tbW9PX1Db++v78/LS0taW1tTX9//xnrx44dy5e//OW86U1vSpJ87Wtfy5w5c7J582Zfmg0AAACcV3YeNUBHR0f6+/tz+PDhdHd3Z+bMmdm4cWNaWlqya9euJMnOnTszadKkJMmcOXPS3d2dEydO5NChQ+nt7c306dMzbty4XHHFFXn44YdTVVU2bNiQ66+/Pi960YvyjW98I4cPH87hw4czY8YM4QgAAABoiMti59FNv7DjuQ+6ANatW5dbb701J0+ezJgxY7J27dokydSpUzNv3rxMmTIlzc3NWb16dZqampI8davbwoULc/z48cyePTuzZ88eyUsAAAAALjPlbN+rczFra2ur9u7d+4y1gwcPZvLkySM00fOPzwsuHtfde3+23HTjSI8BAABc5kop+6qqOustTW5bAwAAAKCWeAQAAABALfEIAAAAgFriEQAAAAC1xCMAAAAAaolHAAAAANRqHukBLoRVn5h1Xs/3/p//3+d03NDQUNra2jJ+/Phs3bo1PT09WbJkSQYHB9Pc3Jy77ror06dPT5J0dHRk/fr1aWpqyqpVqzJr1lMz79u3LwsXLszx48dz7bXXpqurK6WU3HPPPbntttsyfvz4JMn73ve+LF68+LxeJwAAAICdRw3U1dWVyZMnDz9ub2/PihUr0tPTkzvuuCPt7e1JkgMHDqS7uzv79+/Pjh07snTp0gwNDSVJbrnllqxduza9vb3p7e3Njh07hs/3sz/7s+np6UlPT49wBAAAADSEeNQg/f392bZt2zOiTiklAwMDSZKjR4+mpaUlSbJp06bMnz8/o0ePzoQJEzJx4sTs2bMnjz76aAYGBnLNNdeklJKbb745DzzwwEhcDgAAQEO99b67R3oEoMZlcdvaSFi2bFnuvPPOHDt2bHht5cqVmTVrVpYvX55Tp07loYceSpIcOXIkM2bMGD6utbU1R44cyahRo9La2nrG+rfcd999efDBB/PKV74ynZ2dueqqqy7AlQEAAACXEzuPGmDr1q0ZO3Zspk2b9oz1NWvWpLOzM319fens7MyiRYuSJFVVnXGOUkrtepJcd911OXz4cB555JH81E/9VN71rnc14EoAAACAy5141AC7d+/O5s2bc/XVV2f+/PnZuXNnFixYkI9//OO58cYbkyRz587Nnj17kjy1o6ivr2/49f39/WlpaUlra2v6+/vPWE+Sl770pRk9enSS5D3veU/27dt3oS4PAAAAuIyIRw3Q0dGR/v7+HD58ON3d3Zk5c2Y2btyYlpaW7Nq1K0myc+fOTJo0KUkyZ86cdHd358SJEzl06FB6e3szffr0jBs3LldccUUefvjhVFWVDRs25Prrr0+SPProo8Pvt3nz5md8MTcAAADA+XJZfOfR+3/+f4/0CEmSdevW5dZbb83JkyczZsyYrF27NkkyderUzJs3L1OmTElzc3NWr16dpqamJE/d6rZw4cIcP348s2fPzuzZs5Mkq1atyubNm9Pc3JyXvOQlueeee0bqsgAAAIBLWDnb9+pczNra2qq9e/c+Y+3gwYN23nwHfF5w8bju3vuz5aYbR3oMAIAR99b77s62ty9+7gOBhiil7Kuqqu1sz7ltDQAAAIBa4hEAAAAAtcQjAAAAAGqJRwAAAADUEo8AAAAAqCUeAQAAAFCreaQHuBB+4TM/fV7P9wc37Din44aGhtLW1pbx48dn69at6enpyZIlSzI4OJjm5ubcddddmT59epKko6Mj69evT1NTU1atWpVZs2YlSfbt25eFCxfm+PHjufbaa9PV1ZVSSpLkD//wD3P77benlJLXvOY1+eQnP3lerxMAAADAzqMG6urqyuTJk4cft7e3Z8WKFenp6ckdd9yR9vb2JMmBAwfS3d2d/fv3Z8eOHVm6dGmGhoaSJLfcckvWrl2b3t7e9Pb2ZseOp8JVb29vOjo6snv37uzfvz8rV6684NcHAAAAXPrEowbp7+/Ptm3bsnjx4uG1UkoGBgaSJEePHk1LS0uSZNOmTZk/f35Gjx6dCRMmZOLEidmzZ08effTRDAwM5JprrkkpJTfffHMeeOCBJMm6devy3ve+Ny9+8YuTJGPHjr2wFwgAAABcFi6L29ZGwrJly3LnnXfm2LFjw2srV67MrFmzsnz58pw6dSoPPfRQkuTIkSOZMWPG8HGtra05cuRIRo0aldbW1jPWk+Sv//qvkyQ/8RM/kaGhodx+++356Z8+v7fnAQAAANh51ABbt27N2LFjM23atGesr1mzJp2dnenr60tnZ2cWLVqUJKmq6oxzlFJq15Pk5MmT6e3tzR//8R/nU5/6VBYvXpx/+qd/Ov8XAwAAAFzW7DxqgN27d2fz5s3Zvn17BgcHMzAwkAULFmTLli3p6upKksydO3f4lrbW1tb09fUNv76/vz8tLS1pbW1Nf3//Gevfes2MGTMyatSoTJgwIf/+3//79Pb25sd+7Mcu4JUCAAAAlzo7jxqgo6Mj/f39OXz4cLq7uzNz5sxs3LgxLS0t2bVrV5Jk586dmTRpUpJkzpw56e7uzokTJ3Lo0KH09vZm+vTpGTduXK644oo8/PDDqaoqGzZsyPXXX58k+Zmf+Zl8/vOfT5J84xvfyF//9V/nh3/4h0fmggEAAIBL1mWx8+gPbtgx0iMkeepLrm+99dacPHkyY8aMydq1a5MkU6dOzbx58zJlypQ0Nzdn9erVaWpqSvLUrW4LFy7M8ePHM3v27MyePTtJMmvWrPyf//N/MmXKlDQ1NeV3fud38tKXvnTErg0AAAC4NJWzfa/Oxaytra3au3fvM9YOHjyYyZMnj9BEzz8+L7h4XHfv/dly040jPQYAwIh76313Z9vbFz/3gUBDlFL2VVXVdrbn3LYGAAAAQC3xCAAAAIBa4hEAAAAAtcQjAAAAAGqJRwAAAADUEo8AAAAAqNU80gNcCNd+5oPn9Xzbb/jv53Tc0NBQ2traMn78+GzdujU9PT1ZsmRJBgcH09zcnLvuuivTp09PknR0dGT9+vVpamrKqlWrMmvWrCTJvn37snDhwhw/fjzXXntturq6UkrJ3/3d3+Vd73pX/umf/ilDQ0P5rd/6rVx77bXn9ToBAAAA7DxqoK6urkyePHn4cXt7e1asWJGenp7ccccdaW9vT5IcOHAg3d3d2b9/f3bs2JGlS5dmaGgoSXLLLbdk7dq16e3tTW9vb3bs2JEk+eAHP5h58+bli1/8Yrq7u7N06dILf4EAAADAJU88apD+/v5s27YtixcvHl4rpWRgYCBJcvTo0bS0tCRJNm3alPnz52f06NGZMGFCJk6cmD179uTRRx/NwMBArrnmmpRScvPNN+eBBx541nMBAAAAnE+XxW1rI2HZsmW58847c+zYseG1lStXZtasWVm+fHlOnTqVhx56KEly5MiRzJgxY/i41tbWHDlyJKNGjUpra+sZ60ly++235z//5/+c3/3d380///M/57Of/ewFujIAAADgcmLnUQNs3bo1Y8eOzbRp056xvmbNmnR2dqavry+dnZ1ZtGhRkqSqqjPOUUqpXU+ST33qU1m4cGH6+/uzffv2vPOd78ypU6cacDUAAADA5czOowbYvXt3Nm/enO3bt2dwcDADAwNZsGBBtmzZkq6uriTJ3Llzh29pa21tTV9f3/Dr+/v709LSktbW1vT395+xniTr168f/v6ja665JoODg/nGN76RsWPHXqjLBAAAAC4Ddh41QEdHR/r7+3P48OF0d3dn5syZ2bhxY1paWrJr164kyc6dOzNp0qQkyZw5c9Ld3Z0TJ07k0KFD6e3tzfTp0zNu3LhcccUVefjhh1NVVTZs2JDrr78+SfLyl788n/vc55IkBw8ezODgYK688sqRuWAAAADgknVZ7DzafsN/H+kRkiTr1q3LrbfempMnT2bMmDFZu3ZtkmTq1KmZN29epkyZkubm5qxevTpNTU1JnrrVbeHChTl+/Hhmz56d2bNnJ0k+/OEP5z3veU86OztTSsk999wzfEsbAAAAwPlSzva9Oheztra2au/evc9YO3jwYCZPnjxCEz3/+Lzg4nHdvfdny003jvQYAAAj7q333Z1tb1/83AcCDVFK2VdVVdvZnnPbGgAAAAC1xCMAAAAAaolHAAAAANQSjwAAAACoJR4BAAAAUEs8AgAAAKBW80gPcCG89b67z+v5zvXnI4eGhtLW1pbx48dn69at6enpyZIlSzI4OJjm5ubcddddmT59epKko6Mj69evT1NTU1atWpVZs2YlSfbt25eFCxfm+PHjufbaa9PV1ZVSSr761a/m3e9+dx577LG85CUvycaNG9Pa2nperxMAAADAzqMG6urqyuTJk4cft7e3Z8WKFenp6ckdd9yR9vb2JMmBAwfS3d2d/fv3Z8eOHVm6dGmGhoaSJLfcckvWrl2b3t7e9Pb2ZseOHUmS5cuX5+abb84jjzyS//E//kd+7dd+7cJfIAAAAHDJE48apL+/P9u2bcvixf+2S6mUkoGBgSTJ0aNH09LSkiTZtGlT5s+fn9GjR2fChAmZOHFi9uzZk0cffTQDAwO55pprUkrJzTffnAceeCDJU8HpLW95S5LkzW9+czZt2nRhLxAAAAC4LIhHDbJs2bLceeed+b7v+7ePeOXKlbntttty1VVXZfny5eno6EiSHDlyJFddddXwca2trTly5EiOHDnyjFvRvrWeJK95zWty3333JUk+85nP5NixY/nmN795IS4NAAAAuIyIRw2wdevWjB07NtOmTXvG+po1a9LZ2Zm+vr50dnZm0aJFSZKqqs44Rymldj1JPvShD2XXrl153etel127dmX8+PFpbr4svsIKAAAAuIDUhgbYvXt3Nm/enO3bt2dwcDADAwNZsGBBtmzZkq6uriTJ3Llzh29pa21tTV9f3/Dr+/v709LSktbW1vT395+xniQtLS25//77kyRPPPFE7rvvvrzoRS+6UJcIAAAAXCbsPGqAjo6O9Pf35/Dhw+nu7s7MmTOzcePGtLS0ZNeuXUmSnTt3ZtKkSUmSOXPmpLu7OydOnMihQ4fS29ub6dOnZ9y4cbniiivy8MMPp6qqbNiwIddff32S5Bvf+EZOnTo1/H7vfve7R+ZiAQAAgEvaZbHzaNvbFz/3QRfAunXrcuutt+bkyZMZM2ZM1q5dmySZOnVq5s2blylTpqS5uTmrV69OU1NTkqdudVu4cGGOHz+e2bNnZ/bs2UmSP/7jP86v/dqvpZSSN7zhDVm9evWIXRcAAABw6Spn+16di1lbW1u1d+/eZ6wdPHgwkydPHqGJnn98XnDxuO7e+7PlphtHegwAgBH31vvuvmj+j3+4HJVS9lVV1Xa259y2BgAAAEAt8QgAAACAWuIRAAAAALXEIwAAAABqiUcAAAAA1BKPAAAAAKjVPNIDXAjX3Xv/eT3fuf6s9tDQUNra2jJ+/Phs3bo1PT09WbJkSQYHB9Pc3Jy77ror06dPT5J0dHRk/fr1aWpqyqpVqzJr1qwkyQc+8IFs2LAhjz/+eJ544onhcz/44INZtmxZHnnkkXR3d+emm246r9cIAAAAkNh51FBdXV2ZPHny8OP29vasWLEiPT09ueOOO9Le3p4kOXDgQLq7u7N///7s2LEjS5cuzdDQUJLkuuuuy549e84498tf/vLcc889ecc73nFhLgYAAAC4LIlHDdLf359t27Zl8eLFw2ullAwMDCRJjh49mpaWliTJpk2bMn/+/IwePToTJkzIxIkTh4PRjBkzMm7cuDPOf/XVV+fVr351vu/7/E8IAAAANM5lcdvaSFi2bFnuvPPOHDt2bHht5cqVmTVrVpYvX55Tp07loYceSpIcOXIkM2bMGD6utbU1R44cueAzAwAAAHw721YaYOvWrRk7dmymTZv2jPU1a9aks7MzfX196ezszKJFi5IkVVWdcY5SygWZFQAAAODZ2HnUALt3787mzZuzffv2DA4OZmBgIAsWLMiWLVvS1dWVJJk7d+7wLW2tra3p6+sbfn1/f//wLW0AAAAAI8nOowbo6OhIf39/Dh8+nO7u7sycOTMbN25MS0tLdu3alSTZuXNnJk2alCSZM2dOuru7c+LEiRw6dCi9vb3Dv8IGAAAAMJIui51HW266caRHSJKsW7cut956a06ePJkxY8Zk7dq1SZKpU6dm3rx5mTJlSpqbm7N69eo0NTUleeoX2j75yU/mySefTGtraxYvXpzbb789X/jCF3LDDTfk8ccfz5YtW7JixYrs379/JC8PAAAAuASVs33fzsWsra2t2rt37zPWDh48mMmTJ4/QRM8/Pi+4eFx37/0XTeAGABhJb73v7mx7++LnPhBoiFLKvqqq2s72nNvWAAAAAKglHgEAAABQSzwCAAAAoJZ4BAAAAEAt8QgAAACAWuIRAAAAALWaR3qAC+GG+/7kvJ7vM2//T+d03NDQUNra2jJ+/Phs3bo1PT09WbJkSQYHB9Pc3Jy77ror06dPT5J0dHRk/fr1aWpqyqpVqzJr1qwkyQc+8IFs2LAhjz/+eJ544onhc3/kIx/J3Xffnebm5lx55ZX5/d///bziFa84r9cJAAAAYOdRA3V1dWXy5MnDj9vb27NixYr09PTkjjvuSHt7e5LkwIED6e7uzv79+7Njx44sXbo0Q0NDSZLrrrsue/bsOePcr3vd67J379488sgjuemmm4bPBQAAAHA+iUcN0t/fn23btmXx4sXDa6WUDAwMJEmOHj2alpaWJMmmTZsyf/78jB49OhMmTMjEiROHg9GMGTMybty4M87/5je/Od///d8/fEx/f3+jLwkAAAC4DDXstrVSypgkDyYZffp97q2qasW3HVOSdCW5NsmTSRZWVfXnjZrpQlq2bFnuvPPOHDt2bHht5cqVmTVrVpYvX55Tp07loYceSpIcOXIkM2bMGD6utbU1R44cOef3Wr9+fWbPnn3+hgcAAAA4rZE7j04kmVlV1WuSvDbJT5dSZnzbMbOTTDr97xeTrGngPBfM1q1bM3bs2EybNu0Z62vWrElnZ2f6+vrS2dmZRYsWJUmqqjrjHE91tee2cePG7N27N7fddtv3PjgAAADAt2nYzqPqqSLyrW94HnX637dXkuuTbDh97MOllB8opYyrqurRRs11IezevTubN2/O9u3bMzg4mIGBgSxYsCBbtmxJV1dXkmTu3LnDt7S1tramr69v+PX9/f3Dt7Q9m89+9rP5zd/8zezatSujR49uzMUAAAAAl7WGfudRKaWplNKT5OtJ/qiqqj/7tkPGJ+l72uP+02vPax0dHenv78/hw4fT3d2dmTNnZuPGjWlpacmuXbuSJDt37sykSZOSJHPmzEl3d3dOnDiRQ4cOpbe3d/hX2Op88YtfzC/90i9l8+bNGTt2bMOvCQAAALg8NWznUZJUVTWU5LWllB9I8plSyo9WVfXlpx1ytnuzzriHq5Tyi3nqtra8/OUv/47n+Mzb/9N3/JpGWLduXW699dacPHkyY8aMydq1a5MkU6dOzbx58zJlypQ0Nzdn9erVaWpqSvLUL7R98pOfzJNPPpnW1tYsXrw4t99+e2677bY88cQTmTt3bpKnPpfNmzeP2LUBAAAAl6Zytu/bacgblbIiyT9XVfWhp639XpI/rqrqU6cf/1WSNz3bbWttbW3V3r17n7F28ODBTJ48uTGDX4J8XnDxuO7e+7PlphtHegwAgBH31vvuzra3L37uA4GGKKXsq6qq7WzPNey2tVLKlad3HKWU8u+S/FSSv/y2wzYnubk8ZUaSo8/37zsCAAAAuJQ08ra1cUk+XkppylOR6g+rqtpaSlmSJFVVfSzJ9iTXJvlKkieT/EID5wEAAADgO9TIX1t7JMnrzrL+saf9XSV5b6NmAAAAAOB709BfWwMAAADg+U08AgAAAKCWeAQAAABArUZ+YfZF4/2f6Tuv51t1w1XndNzQ0FDa2toyfvz4bN26NT09PVmyZEkGBwfT3Nycu+66K9OnT0+SdHR0ZP369WlqasqqVasya9asJMkHPvCBbNiwIY8//nieeOKJ4XN/7GMfy+rVq9PU1JQXvOAFWbt2baZMmXJerxMAAADAzqMG6urqyuTJk4cft7e3Z8WKFenp6ckdd9yR9vb2JMmBAwfS3d2d/fv3Z8eOHVm6dGmGhoaSJNddd1327Nlzxrnf8Y535Etf+lJ6enrS3t6eX/3VX70wFwUAAABcVsSjBunv78+2bduyePHi4bVSSgYGBpIkR48eTUtLS5Jk06ZNmT9/fkaPHp0JEyZk4sSJw8FoxowZGTdu3Bnnf+ELXzj89z//8z+nlNLIywEAAAAuU5fFbWsjYdmyZbnzzjtz7Nix4bWVK1dm1qxZWb58eU6dOpWHHnooSXLkyJHMmDFj+LjW1tYcOXLkOd9j9erV+chHPpJ/+Zd/yc6dO8//RQAAAACXPTuPGmDr1q0ZO3Zspk2b9oz1NWvWpLOzM319fens7MyiRYuSJFVVnXGOc9lJ9N73vjd/8zd/k9/+7d/OBz/4wfMzPAAAAMDT2HnUALt3787mzZuzffv2DA4OZmBgIAsWLMiWLVvS1dWVJJk7d+7wLW2tra3p6/u3L/Xu7+8fvqXtXMyfPz+33HLL+b0IAAAAgNh51BAdHR3p7+/P4cOH093dnZkzZ2bjxo1paWnJrl27kiQ7d+7MpEmTkiRz5sxJd3d3Tpw4kUOHDqW3t3f4V9jq9Pb2Dv+9bdu24XMBAAAAnE+Xxc6jVTdcNdIjJEnWrVuXW2+9NSdPnsyYMWOydu3aJMnUqVMzb968TJkyJc3NzVm9enWampqSPPULbZ/85Cfz5JNPprW1NYsXL87tt9+ej370o/nsZz+bUaNG5cUvfnE+/vGPj+SlAQAAAJeocrbv27mYtbW1VXv37n3G2sGDBzN58uQRmuj5x+cFF4/r7r0/W266caTHAAAYcW+97+5se/vi5z4QaIhSyr6qqtrO9pzb1gAAAACoJR4BAAAAUEs8AgAAAKCWeAQAAABALfEIAAAAgFriEQAAAAC1mkd6gAvh/nu/cV7Pd+NNLzun44aGhtLW1pbx48dn69at6enpyZIlSzI4OJjm5ubcddddmT59epKko6Mj69evT1NTU1atWpVZs2YlST7wgQ9kw4YNefzxx/PEE0+c8R733ntv5s6dmy984QtpazvrL+oBAAAAfNfsPGqgrq6uTJ48efhxe3t7VqxYkZ6entxxxx1pb29Pkhw4cCDd3d3Zv39/duzYkaVLl2ZoaChJct1112XPnj1nPf+xY8eyatWqvP71r2/8xQAAAACXJfGoQfr7+7Nt27YsXrx4eK2UkoGBgSTJ0aNH09LSkiTZtGlT5s+fn9GjR2fChAmZOHHicDCaMWNGxo0bd9b3+PVf//W0t7dnzJgxDb4aAAAA4HIlHjXIsmXLcuedd+b7vu/fPuKVK1fmtttuy1VXXZXly5eno6MjSXLkyJFcddVVw8e1trbmyJEjz3r+L37xi+nr68vb3va2xlwAAAAAQMSjhti6dWvGjh2badOmPWN9zZo16ezsTF9fXzo7O7No0aIkSVVVZ5yjlFJ7/lOnTuVXfuVX8uEPf/j8Dg4AAADwbS6LL8y+0Hbv3p3Nmzdn+/btGRwczMDAQBYsWJAtW7akq6srSTJ37tzhW9paW1vT19c3/Pr+/v7hW9rO5tixY/nyl7+cN73pTUmSr33ta5kzZ042b97sS7MBAACA88rOowbo6OhIf39/Dh8+nO7u7sycOTMbN25MS0tLdu3alSTZuXNnJk2alCSZM2dOuru7c+LEiRw6dCi9vb3Dv8J2Ni960YvyjW98I4cPH87hw4czY8YM4QgAAABoiMti59GNN71spEdIkqxbty633nprTp48mTFjxmTt2rVJkqlTp2bevHmZMmVKmpubs3r16jQ1NSV56hfaPvnJT+bJJ59Ma2trFi9enNtvv30ErwIAAAC4nJSzfd/Oxaytra3au3fvM9YOHjyYyZMnj9BEzz8+L7h4XHfv/dly040jPQYAwIh76313Z9vbFz/3gUBDlFL2VVV11lua3LYGAAAAQC3xCAAAAIBa4hEAAAAAtcQjAAAAAGqJRwAAAADUEo8AAAAAqNU80gNcCF+8++vn9XyvWzz2nI4bGhpKW1tbxo8fn61bt6anpydLlizJ4OBgmpubc9ddd2X69OlJko6Ojqxfvz5NTU1ZtWpVZs2alST5wAc+kA0bNuTxxx/PE088MXzue+65J7fddlvGjx+fJHnf+96XxYv9rCUAAABwftl51EBdXV2ZPHny8OP29vasWLEiPT09ueOOO9Le3p4kOXDgQLq7u7N///7s2LEjS5cuzdDQUJLkuuuuy549e856/p/92Z9NT09Penp6hCMAAACgIcSjBunv78+2bdueEXVKKRkYGEiSHD16NC0tLUmSTZs2Zf78+Rk9enQmTJiQiRMnDgejGTNmZNy4cRf+AgAAAABymdy2NhKWLVuWO++8M8eOHRteW7lyZWbNmpXly5fn1KlTeeihh5IkR44cyYwZM4aPa21tzZEjR57zPe677748+OCDeeUrX5nOzs5cddVV5/9CAAAAgMuanUcNsHXr1owdOzbTpk17xvqaNWvS2dmZvr6+dHZ2ZtGiRUmSqqrOOEcp5Vnf47rrrsvhw4fzyCOP5Kd+6qfyrne96/xdAAAAAMBp4lED7N69O5s3b87VV1+d+fPnZ+fOnVmwYEE+/vGP58Ybb0ySzJ07d/jWtNbW1vT19Q2/vr+/f/iWtjovfelLM3r06CTJe97znuzbt69BVwMAAABczsSjBujo6Eh/f38OHz6c7u7uzJw5Mxs3bkxLS0t27dqVJNm5c2cmTZqUJJkzZ066u7tz4sSJHDp0KL29vcO/wlbn0UcfHf578+bNz/hibgAAAIDz5bL4zqPXLR470iMkSdatW5dbb701J0+ezJgxY7J27dokydSpUzNv3rxMmTIlzc3NWb16dZqampI89Qttn/zkJ/Pkk0+mtbU1ixcvzu23355Vq1Zl8+bNaW5uzkte8pLcc889I3hlAAAAwKWqnO37di5mbW1t1d69e5+xdvDgQTtvvgM+L7h4XHfv/dly040jPQYAwIh76313Z9vbFz/3gUBDlFL2VVXVdrbn3LYGAAAAQC3xCAAAAIBa4hEAAAAAtcQjAAAAAGqJRwAAAADUEo8AAAAAqNU80gNcCF/70FfO6/l+aPnEczpuaGgobW1tGT9+fLZu3Zqenp4sWbIkg4ODaW5uzl133ZXp06cnSTo6OrJ+/fo0NTVl1apVmTVrVpJk3759WbhwYY4fP55rr702XV1dKaXkwQcfzLJly/LII4+ku7s7N91003m9RgAAAIDEzqOG6urqyuTJk4cft7e3Z8WKFenp6ckdd9yR9vb2JMmBAwfS3d2d/fv3Z8eOHVm6dGmGhoaSJLfcckvWrl2b3t7e9Pb2ZseOHUmSl7/85bnnnnvyjne848JfGAAAAHDZEI8apL+/P9u2bcvixYuH10opGRgYSJIcPXo0LS0tSZJNmzZl/vz5GT16dCZMmJCJEydmz549efTRRzMwMJBrrrkmpZTcfPPNeeCBB5IkV199dV796lfn+77P/4QAAABA41wWt62NhGXLluXOO+/MsWPHhtdWrlyZWbNmZfny5Tl16lQeeuihJMmRI0cyY8aM4eNaW1tz5MiRjBo1Kq2trWesAwAAAFwotq00wNatWzN27NhMmzbtGetr1qxJZ2dn+vr60tnZmUWLFiVJqqo64xyllNp1AAAAgAvFzqMG2L17dzZv3pzt27dncHAwAwMDWbBgQbZs2ZKurq4kydy5c4dvaWttbU1fX9/w6/v7+9PS0pLW1tb09/efsQ4AAABwodh51AAdHR3p7+/P4cOH093dnZkzZ2bjxo1paWnJrl27kiQ7d+7MpEmTkiRz5sxJd3d3Tpw4kUOHDqW3tzfTp0/PuHHjcsUVV+Thhx9OVVXZsGFDrr/++pG8NAAAAOAyc1nsPPqh5RNHeoQkybp163Lrrbfm5MmTGTNmTNauXZskmTp1aubNm5cpU6akubk5q1evTlNTU5KnbnVbuHBhjh8/ntmzZ2f27NlJki984Qu54YYb8vjjj2fLli1ZsWJF9u/fP2LXBgAAAFyaytm+V+di1tbWVu3du/cZawcPHszkyZNHaKLnH58XXDyuu/f+bLnpxpEeAwBgxL31vruz7e2Ln/tAoCFKKfuqqmo723NuWwMAAACglngEAAAAQC3xCAAAAIBa4hEAAAAAtcQjAAAAAGqJRwAAAADUah7pAS6Ef1j1x+f1fD/4/jed03FDQ0Npa2vL+PHjs3Xr1vT09GTJkiUZHBxMc3Nz7rrrrkyfPj1J0tHRkfXr16epqSmrVq3KrFmzkiQf+MAHsmHDhjz++ON54oknhs994sSJ3Hzzzdm3b19e+tKX5tOf/nSuvvrq83qdAAAAAHYeNVBXV1cmT548/Li9vT0rVqxIT09P7rjjjrS3tydJDhw4kO7u7uzfvz87duzI0qVLMzQ0lCS57rrrsmfPnjPOvX79+rz4xS/OV77ylfzKr/xK/st/+S8X5qIAAACAy4p41CD9/f3Ztm1bFi9ePLxWSsnAwECS5OjRo2lpaUmSbNq0KfPnz8/o0aMzYcKETJw4cTgYzZgxI+PGjTvj/Js2bcq73vWuJMlNN92Uz33uc6mqqtGXBQAAAFxmLovb1kbCsmXLcuedd+bYsWPDaytXrsysWbOyfPnynDp1Kg899FCS5MiRI5kxY8bwca2trTly5Miznv/IkSO56qqrkiTNzc150YtelG9+85t52cte1oCrAQAAAC5Xdh41wNatWzN27NhMmzbtGetr1qxJZ2dn+vr60tnZmUWLFiXJWXcMlVKe9T2+m9cAAAAAfKfsPGqA3bt3Z/Pmzdm+fXsGBwczMDCQBQsWZMuWLenq6kqSzJ07d/iWttbW1vT19Q2/vr+/f/iWtjrfek1ra2tOnjyZo0eP5iUveUnjLgoAAAC4LNl51AAdHR3p7+/P4cOH093dnZkzZ2bjxo1paWnJrl27kiQ7d+7MpEmTkiRz5sxJd3d3Tpw4kUOHDqW3t3f4V9jqzJkzJx//+MeTJPfee29mzpxp5xEAAABw3l0WO49+8P1vGukRkiTr1q3LrbfempMnT2bMmDFZu3ZtkmTq1KmZN29epkyZkubm5qxevTpNTU1JnvqFtk9+8pN58skn09ramsWLF+f222/PokWL8s53vjMTJ07MS17yknR3d4/kpQEAAACXqPJ8+4Wutra2au/evc9YO3jwYCZPnjxCEz3/+Lzg4nHdvfdny003jvQYAAAj7q333Z1tb1/83AcCDVFK2VdVVdvZnnPbGgAAAAC1xCMAAAAAal0y8ej5dvvdSPE5AQAAAN+JSyIejRkzJt/85jeFkedQVVW++c1vZsyYMSM9CgAAAPA8cUn82lpra2v6+/vz2GOPjfQoF70xY8aktbV1pMcAAAAAnicuiXg0atSoTJgwYaTHAAAAALjkXBK3rQEAAADQGOIRAAAAALXEIwAAAABqiUcAAAAA1BKPAAAAAKglHgEAAABQSzwCAAAAoJZ4BAAAAEAt8QgAAACAWuIRAAAAALXEIwAAAABqiUcAAAAA1BKPAAAAAKglHgEAAABQSzwCAAAAoJZ4BAAAAEAt8QgAAACAWuIRAAAAALXEIwAAAABqiUcAAAAA1BKPAAAAAKglHgEAAABQSzwCAAAAoJZ4BAAAAEAt8QgAAACAWuIRAAAAALXEIwAAAABqiUcAAAAA1BKPAAAAAKglHgEAAABQSzwCAAAAoJZ4BAAAAEAt8QgAAACAWuIRAAAAALXEIwAAAABqiUcAAAAA1BKPAAAAAKglHgEAAABQSzwCAAAAoJZ4BAAAAEAt8QgAAACAWuIRAAAAALXEIwAAAABqiUcAAAAA1BKPAAAAAKglHgEAAABQSzwCAAAAoJZ4BAAAAEAt8QgAAACAWuIRAAAAALXEIwAAAABqiUcAAAAA1BKPAAAAAKglHgEAAABQSzwCAAAAoJZ4BAAAAEAt8QgAAACAWuIRAAAAALXEIwAAAABqiUcAAAAA1BKPAAAAAKglHgEAAABQSzwCAAAAoJZ4BAAAAEAt8QgAAACAWuIRAAAAALXEIwAAAABqNSwelVKuKqV8vpRysJSyv5Ry61mOeVMp5Wgppef0v//RqHkAAAAA+M41N/DcJ5P8P1VV/Xkp5Yok+0opf1RV1YFvO+7/VlX1tgbOAQAAAMB3qWE7j6qqerSqqj8//fexJAeTjG/U+wEAAABw/l2Q7zwqpVyd5HVJ/uwsT19TSvmLUsr/KqVMrXn9L5ZS9pZS9j722GONHBUAAACAp2l4PCqlvCDJfUmWVVU18G1P/3mSV1RV9Zokv5vkgbOdo6qqtVVVtVVV1XbllVc2dF4AAAAA/k1D41EpZVSeCkefqKrq/m9/vqqqgaqqnjj99/Yko0opL2vkTAAAAACcu0b+2lpJsj7JwaqqPlJzzA+dPi6llOmn5/lmo2YCAAAA4DvTyF9b+4kk70zypVJKz+m1/5bk5UlSVdXHktyU5JZSyskkx5PMr6qqauBMAAAAAHwHGhaPqqr6kyTlOY75aJKPNmoGAAAAAL43F+TX1gAAAAB4fhKPAAAAAKglHgEAAABQSzwCAAAAoJZ4BAAAAEAt8QgAAACAWuIRAAAAALXEIwAAAABqiUcAAAAA1BKPAAAAAKglHgEAAABQSzwCAAAAoJZ4BAAAAEAt8QgAAACAWuIRAAAAALXEIwAAAABqiUcAAAAA1BKPAAAAAKglHgEAAABQSzwCAAAAoJZ4BAAAAEAt8QgAAACAWuIRAAAAALXEIwAAAABqiUcAAAAA1BKPAAAAAKglHgEAAABQSzwCAAAAoJZ4BAAAAEAt8QgAAACAWuIRAAAAALXEIwAAAABqiUcAAAAA1BKPAAAAAKglHgEAAABQSzwCAAAAoJZ4BAAAAEAt8QgAAACAWuIRAAAAALXEIwAAAABqiUcAAAAA1BKPAAAAAKglHgEAAABQSzwCAAAAoJZ4BAAAAEAt8QgAAACAWuIRAAAAALXEIwAAAABqiUcAAAAA1BKPAAAAAKglHgEAAABQSzwCAAAAoJZ4BAAAAEAt8QgAAACAWuIRAAAAALXEIwAAAABqiUcAAAAA1BKPAAAAAKglHgEAAABQSzwCAAAAoJZ4BAAAAEAt8QgAAACAWuIRAAAAALXEIwAAAABqiUcAAAAA1BKPAAAAAKglHgEAAABQSzwCAAAAoJZ4BAAAAEAt8QgAAACAWuIRAAAAALXEIwAAAABqiUcAAAAA1BKPAAAAAKglHgEAAABQSzwCAAAAoJZ4BAAAAEAt8QgAAACAWuIRAAAAALXEIwAAAABqiUcAAAAA1BKPAAAAAKglHgEAAABQSzwCAAAAoJZ4BAAAAEAt8QgAAACAWuIRAAAAALXEIwAAAABqiUcAAAAA1BKPAAAAAKglHgEAAABQSzwCAAAAoJZ4BAAAAEAt8QgAAAC4bHztQ18Z6RGed8QjAAAAAGqJRwAAAADUEo8AAAAAqCUeAQAAAFBLPAIAAACglngEAAAAQC3xCAAAAIBa4hEAAAAAtcQjAAAAAGqJRwAAAADUEo8AAAAAqCUeAQAAAFBLPAIAAACglngEAAAAQC3xCAAAAIBa4hEAAAAAtcQjAAAAAGqJRwAAAADUEo8AAAAAqCUeAQAAAFBLPAIAAACglngEAAAAQC3xCAAAAIBa4hEAAAAAtcQjAAAAAGqJRwAAAADUEo8AAAAAqCUeAQAAAFBLPAIAAACglngEAAAAQC3xCAAAAIBa4hEAAAAAtcQjAAAAAGqJRwAAAADUEo8AAAAAqCUeAQAAAFBLPAIAAACglngEAAAAQC3xCAAAAIBa4hEAAAAAtcQjAAAAAGqJRwAAAADUEo8AAAAAqCUeAQAAAFBLPAIAAACglngEAAAAQC3xCAAAAIBa4hEAAAAAtcQjAAAAAGqJRwAAAADUalg8KqVcVUr5fCnlYCllfynl1rMcU0opq0opXymlPFJK+Y+NmgcAAACA71xzA899Msn/U1XVn5dSrkiyr5TyR1VVHXjaMbOTTDr97/VJ1pz+LwAAAAAXgYbtPKqq6tGqqv789N/HkhxMMv7bDrs+yYbqKQ8n+YFSyrhGzQQAAADAd+aCfOdRKeXqJK9L8mff9tT4JH1Pe9yfMwNTSim/WErZW0rZ+9hjjzVsTgAAAACeqeHxqJTygiT3JVlWVdXAtz99lpdUZyxU1dqqqtqqqmq78sorGzEmAAAAAGfR0HhUShmVp8LRJ6qquv8sh/Qnueppj1uT/H0jZwIAAADg3DXy19ZKkvVJDlZV9ZGawzYnufn0r67NSHK0qqpHGzUTAAAAAN+ZRu48+okk70wys5TSc/rftaWUJaWUJaeP2Z7kb5N8Jcm6JEsbOA8AAADwXfrah74y0iMwQpobdeKqqv4kZ/9Oo6cfUyV5b6NmAAAAAOB7c0F+bQ0AAACA5yfxCAAAAIBa4hEAAAAAtcQjAAAAAGqJRwAAAADUEo8AAACA8+qt99090iNwHolHAAAAANQSjwAAAACoJR4BAAAAUEs8AgAAAKCWeAQAAABALfEIAAAAgFriEQAAAAC1xCMAAAAAaolHAAAAANQSjwAAAACoJR4BAAAAUEs8AgAAAKCWeAQAAABALfEIAAAAgFriEQAAAAC1xCMAAAAAaolHAAAAANQSjwAAAACoJR4BAAAAUEs8AgAAAKCWeAQAAABALfEIAAAAgFriEQAAAAC1xCMAAAAAaolHAAAAANQSjwAAAACoJR4BAAAAUKu57olSyn98thdWVfXn538cAAAAAC4mtfEoyYef5bkqyczzPAsAAAAAF5naeFRV1Zsv5CAAAAAAXHyebefRsFLKjyaZkmTMt9aqqtrQqKEAAAAAuDg8ZzwqpaxI8qY8FY+2J5md5E+SiEcAAAAAl7hz+bW1m5K8JcnXqqr6hSSvSTK6oVMBAAAAcFE4l3h0vKqqU0lOllJemOTrSX64sWMBAAAAcDE4l+882ltK+YEk65LsS/JEkj2NHAoAAACAi8NzxqOqqpae/vNjpZQdSV5YVdUjjR0LAAAAgIvBc962Vkr53Lf+rqrqcFVVjzx9DQAAAIBLV+3Oo1LKmCTfn+RlpZQXJymnn3phkpYLMBsAAAAAI+zZblv7pSTL8lQo+vOnrQ8kWd3AmQAAAAC4SNTGo6qqupJ0lVJ+uaqq372AMwEAAABwkTiXX1v7vVLK+5O84fTjP07ye1VV/WvDpgIAAADgonAu8eiuJKNO/zdJ3plkTZLFjRoKAAAAgIvDucSjH6uq6jVPe7yzlPIXjRoIAAAAgIvH99U9UUr5VlgaKqX8yNPWfzjJUKMHAwAAAGDkPdvOoz1J/mOS25J8vpTyt0lKklck+YULMBsAAAAAI+zZ4lFJkqqqPldKmZTk359e+8uqqk5ciOEAAAAAGFnPFo+uLKX86lnW31JKSVVVH2nUUAAAAABcHJ4tHjUleUFO70ACAAAA4PLzbPHo0aqq7rhgkwAAAABw0an9tbXYcQQAAABw2Xu2ePSWCzYFAAAAABel2nhUVdU/XshBAAAAALj4PNvOIwAAAAAuc+cUj0opryil/NTpv/9dKeWKxo4FAAAAwMXgOeNRKeU9Se5N8nunl1qTPNDAmQAAAAC4SJzLzqP3JvmJJANJUlVVb5KxjRwKAAAAgIvDucSjE1VV/cu3HpRSmpNUjRsJAAAAgIvFucSjXaWU/5bk35VS/r9J/t8kWxo7FgAAAAAXg3OJR/81yWNJvpTkl5Jsr6rqAw2dCgAAAICLQvM5HPPLVVV1JVn3rYVSyq2n1wAAAAC4hJ3LzqN3nWVt4XmeAwAAAICLUO3Oo1LKzyV5R5IfLqVsftpTVyT5ZqMHAwAAAGDkPdttaw8leTTJy5J8+Gnrx5I80sihAAAAALg41Majqqq+WkrpT/LPVVXtuoAzAQAAAHCReNbvPKqqaijJk6WUF12geQAAAAC4iJzLr60NJvlSKeWPkvzztxarqnp/w6YCAAAA4KJwLvFo2+l/AAAAAFxmnjMeVVX18VLK/yfJK08v/VVVVf/a2LEAAAAAuBg8ZzwqpbwpyceTHE5SklxVSnlXVVUPNnQyAAAAAEbcudy29uEk/7mqqr9KklLKK5N8Ksm0Rg4GAAAAwMh71l9bO23Ut8JRklRV9ddJRjVuJAAAAAAuFuey82hvKWV9kv95+vHPJ9nXuJEAAAAAuFicSzy6Jcl7k7w/T33n0YNJ7mrkUAAAAABcHM7l19ZOlFI+muRzSU7lqV9b+5eGTwYAAADAiDuXX1t7a5KPJfmbPLXzaEIp5ZeqqvpfjR4OAAAAgJF1rr+29uaqqr6SJKWUH0myLYl4BAAAAHCJO5dfW/v6t8LRaX+b5OsNmgcAAACAi8i57DzaX0rZnuQPk1RJ5ib5QinlxiSpqur+Bs4HAAAAwAg6l3g0Jsk/JHnj6cePJXlJkuvyVEwSjwAAAAAuUefya2u/cCEGAQAAAODicy6/tjYhyS8nufrpx1dVNadxYwEAAABwMTiX29YeSLI+yZYkpxo6DQAAAAAXlXOJR4NVVa1q+CQAAAAAXHTOJR51lVJWJPk/SU58a7Gqqj9v2FQAAAAAXBTOJR69Ksk7k8zMv922Vp1+DAAAAMAl7Fzi0Q1Jfriqqn9p9DAAAAAAXFy+7xyO+YskP9DgOQAAAAC4CJ3LzqMfTPKXpZQv5JnfeTSnYVMBAAAAcFE4l3i0ouFTAAAAAHBRes54VFXVrgsxCAAAAAAXn9p4VEo5lqd+Ve2Mp5JUVVW9sGFTAQAAAHBRqI1HVVVdcSEHAQAAAODicy6/tgYAAADAZUo8AgAAAKCWeAQAAABALfEIAAAAgFriEQAAAAC1xCMAAAAAaolHAAAAANQSjwAAAACoJR4BAAAAUEs8AgAAAKCWeAQAAABALfEIAAAAgFriEQAAAAC1xCMAAAAAaolHAAAAANQSjwAAAACoJR4BAAAAUEs8AgAAAKCWeAQAAABALfEIAAAAgFriEQAAAAC1xCMAAAAAaolHAAAAANQSjwAAAACoJR4BAAAAUEs8AgAAAKCWeAQAAABALfEIAAAAgFriEQAAAAC1xCMAAAAAaolHAAAAANQSjwAAAACoJR4BAAAAUEs8AgAAAKCWeAQAAABALfEIAAAAgFriEQAAAAC1xCMAAAAAaolHAAAAANQSjwAAAACoJR4BAAAAUEs8AgAAAKCWeAQAAABALfEIAAAAgFriEQAAAAC1xCMAAAAAajUsHpVSfr+U8vVSypdrnn9TKeVoKaXn9L//0ahZAAAAAPjuNDfw3Pck+WiSDc9yzP+tquptDZwBAAAAgO9Bw3YeVVX1YJJ/bNT5AQAAAGi8kf7Oo2tKKX9RSvlfpZSpIzwLAAAAAN+mkbetPZc/T/KKqqqeKKVcm+SBJJPOdmAp5ReT/GKSvPzlL79gAwIAAABc7kZs51FVVQNVVT1x+u/tSUaVUl5Wc+zaqqraqqpqu/LKKy/onAAAAACXsxGLR6WUHyqllNN/Tz89yzdHah4AAAAAztSw29ZKKZ9K8qYkLyul9CdZkWRUklRV9bEkNyW5pZRyMsnxJPOrqqoaNQ8AAAAA37mGxaOqqn7uOZ7/aJKPNur9AQAAAPjejfSvrQEAAABwEROPAAAAAKglHgEAAABQSzwCAAAAoJZ4BAAAAEAt8QgAAACAWuIRAAAAALXEIwAAAABqiUcAAAAA1BKPAAAAAKglHgEAAABQSzwCAAAAoJZ4BAAAAEAt8QgAAACAWuIRAAAAALXEIwAAAABqiUcAAAAA1BKPAAAAAKglHgEAAABQSzwCAAAAoJZ4BAAAAEAt8QgAAACAWuIRAAAAALXEIwAAAABqiUcAAAAA1BKPAAAAuOxd+5kPjvQIcNESjwBGyFvvu3ukRwAAAHhO4hEAAAAAtcQjAAAAAGqJRwAAAADUEo8AAAAAqCUeAQAAAFBLPAIAAACglngEAAAAQC3xCAAAAIBa4hEAAAAAtcQjAAAAAGqJRwAAAADUEo8AAAAAqCUeAQAAAFBLPAIAAACglngEAAAAQC3xCAAAAIBa4hEAAAAAtcQjgAto1SdmjfQIAAAA3xHxCAAAAIBa4hEAAAAAtcQjAAAAAGqJRwAAAADUEo8AAAAAqCUeAQAAAFBLPAIAAACglngEAAAAQC3xCAAAAIBa4hEAAAAAtcQjAAAAAGqJRwAAAADUEo8AAAAAqCUeAQAAAFBLPAIAAACglngEAAAAQC3xCAAAAIBa4hEAAAAAtcQjAAAAAGqJRwAAAADUEo8AAAAAqCUeAQAAAFBLPAIAAACglngEAAAAQC3xCAAAAIBa4hHACLj2Mx8c6REAAADOiXgEAAAAQC3xCAAAAIBa4hEAAAAAtcQjAAAAAGqJRwAAAADUEo8AAAAAqCUeAQAAAFBLPAIAAACglngEAAAAQC3xCAAAAIBa4hEAAAAAtcQjAAAAAGqJRwAAAADUEo8Avgtvve/ukR4BAADgghCPAAAAAKglHgEAAABQSzwCAAAAoJZ4BAAAAEAt8QgAAACAWuIRAAAAALXEIwAAAABqiUcAAAAA1BKPAAAAAKglHgEAAABQSzwCAAAAoJZ4BAAAAEAt8QgAAACAWuIRAAAAALXEIwAAAABqiUcAAAAA1BKPAAAAAKglHgEAAABQSzwCAAAAoJZ4BAAAAEAt8QgAAACAWuIRAAAAALXEIwAAAABqiUcAAAAA1BKPAAAAAKglHgEAAABQSzwCAAAAoJZ4BAAAPO+89b67R3oEgMuGeAQAAABALfEIAAAAgFriEQAAAAC1xCMAAAAAaolHAAAAANQSjwAAAACoJR4BAAAAUEs8AgAAAKCWeAQAAABALfEIAAAAgFriEQAAAAC1xCMAAAAAaolHAAAAANQSjwAAAACoJR4BAAAAUEs8AgAAAKCWeAQAAABALfEIAAAAgFriEQAAAAC1xCMAAAAAaolHAAAA36Xr7r1/pEcAaDjxCAAAAIBa4hEAAAAAtcQjAAAAAGqJRwAAAADUEo8AAAAAqCUeAQAAAFBLPAIAAACglngEAAAAQC3xCAAAAIBa4hEAAHDJ+NqHvjLSIwBccsQjAAAAAGo1LB6VUn6/lPL1UsqXa54vpZRVpZSvlFIeKaX8x0bNAgAAAMB3p5E7j+5J8tPP8vzsJJNO//vFJGsaOAsAAAAA34WGxaOqqh5M8o/Pcsj1STZUT3k4yQ+UUsY1ah4AAAAAvnMj+Z1H45P0Pe1x/+m1M5RSfrGUsreUsvexxx67IMMBAAAAMLLxqJxlrTrbgVVVra2qqq2qqrYrr7yywWMBnJvr7r1/pEcAAABouJGMR/1Jrnra49Ykfz9CswAAAABwFiMZjzYnufn0r67NSHK0qqpHR3AeAAAAAL5Nc6NOXEr5VJI3JXlZKaU/yYoko5KkqqqPJdme5NokX0nyZJJfaNQsAAAAAHx3GhaPqqr6ued4vkry3ka9PwAAAADfu5G8bQ0AAACAi5x4BADUuv/eb4z0CAAAjDDxCAAAAIBa4hEAAAAAtcQjAAAAAGqJRwAAAADUEo8AAAAAqCUeAQAAAFBLPAIAAACglngEAAAAQC3xCAAAAIBa4hEAAAAAtcQjAAAAAGqJRwAAAADUEo8AAAAAqCUeAQAAAFBLPAIAAACglngEAAAAQC3xCAAAAIBa4hEAAAAAtcQjAAAAAGqJRwAAAADUEo8AAAAAqCUeAQAAAFBLPAIAAACglngEAAAAQC3xCAAAAIBa4hEAAAAAtcQjAAAAAGqJRwAAAADUEo8AAAAAqCUeAQAAAFBLPAIAAACglngEAAAAQC3xCAAAAIBa4hEAAAAAtcQjAAAAAGqJRwAAAADUEo8AAAAAqCUeAcBl7E/Xvm2kRwAA4CInHgEAAABQSzwCAAAAoJZ4BAAAAEAt8QgAAACAWuIRAAAAALXEIwAAAABqiUcA36FrP/PBkR4BAADgghGPAAAAAKglHgEAAABQSzwCAAAAoJZ4BAAAAEAt8QgAAACAWuIRAAAAALXEIwC4zN37Bz890iMAAHARE48AAAAAqCUeAQAAAFBLPAIAAACglngEAAA8L1137/0jPQLAZUE8AgAAAKCWeAQAAABALfGIy8r7P9M30iMAAADA84p4BAAAAEAt8QgAAACAWuIRAAAAALXEIwAAAABqiUcAAAAA1BKPAAAAAKglHgEAAHCGr33oKyM9AnCREI8AAAAAqCUeAQAAAFBLPAIAAACglngEAAAAQC3xCAAAAIBa4hEAAAAAtcQjAAAAAGqJRwAAAADUEo8AAAAAqCUeAQAAAFBLPAIAAACglngEAAAAQC3xCAAAAIBa4hEAAAAAtcQjAAAAAGqJRwAAADTEP6z645EeATgPxCMAAAAAaolHAAAAANQSjwAAAACoJR4BAAAAUEs8AgAAAKCWeAQAAABALfEIAAAAgFriEQAAAAC1xCMAAABosH9Y9ccjPQJ818QjAAAAAGqJRwAAAADUEo8AAAAAqCUeAQAAAFBLPAIAAOCi9LUPfWWkRwAiHgEAAADwLMQjAAAAAGqJRwAAAADUEo8AAAAAqCUeAQAAzyvXfuaDIz0Cz+L9n+kb6RGA80w8AgAAAKCWeAQAAABALfEIAAAAgFriEQAAAAC1xCMAAAAAaolHAAAAANQSjwAAAACoJR4BAAAAUEs8AgCGvfW+u0d6BAAALjLiEQD8/9u78zBJimrv498zrAoMouIu4K64IAiCgCJeFVEBUXFDRcTtioLixauvC+5cFfWyKILIiAheWQVXUFZHdmaGTUERRHEBVxhFVOC8f5woOrumlojM7K7q6t/nefrpqZrOqKisrMzIExEnJMtNB5096iqIiIiIyAgoeCQiIiIiIiIiIn0peCQiIiIiIiIiIn0peCQiIiIiIiIiIn0peCQiIiIiIiIiIn0peCQiIiIiIiIiIn0peCQiIiIiIiKNvODEI0ZdBRGZQQoeiYiIzEN/OPRro66CiIiIiMwRCh6JiIiIiIiIiEhfCh6JiIiIiIiIiEhfCh6JiIiIiIiIiEhfCh6JiIiIiIiIiEhfCh6JiIiIiIiIiEhfCh6JiIiIiIiIiEhfCh6JiIiMgeef/LFRV0FEREREpCcFj0RERGQFO5+4eNRVEBEREZExoeCRiIiIiIiIiIj0peCRiIiIiIiIiIj0peCRiIiIiIiIiIj0peCRiIiIiIiIiIj0peCRiIiIiIiIiIj0peCRiIiISA8vOPGIUVdBRHo46JjtRl0FEZF5R8EjmXdOOuGPo66CiIiIiIiIyJyh4JGIiIiIiIiIiPSl4JGIiIiIiIiIiPSl4JGIiIiIiIiIiPSl4JGIiIiIiIiIiPSl4JGIiIiIiIiIiPSl4JGIiIiIiIiIiPSl4JGIiIiIiIiIiPSl4JGIzLodTjhp1FUQERERERGRTAoeiYiIyFhSoFlERERkPMxo8MjMnmdm15jZtWb2nh7//0wzu8XMlqWfD85kfUREREREREREpMzKM1Wwma0EfB54DnAjcLGZneruP+n60x+5+wtnqh4iIiIiIiIiIlLfTI48eipwrbtf5+7/Av4P2GkGX09ERERERERERFo2k8GjBwO/rjy+MT3X7WlmdpmZfc/MHj+D9RERERERERERkUIzNm0NsB7PedfjJcD67v43M3s+8E3gUSsUZPYm4E0A6623XsvVFBERERERERGRfmZy5NGNwEMrjx8C/Lb6B+5+q7v/Lf37u8AqZnbf7oLc/XB339TdN1133XVnsMoiIiIiIiIi0gatnDo5ZjJ4dDHwKDN7mJmtCrwCOLX6B2b2ADOz9O+npvr8aQbrJCIiIiIiIiIiBWYseOTudwBvA04Dfgoc5+5XmdlbzOwt6c9eClxpZpcBBwGvcPfuqW0iIiIiIiJj46Bjtht1FUREZtVM5jzqTEX7btdzX6z8+xDgkJmsg4iIyFx300Fnc/+9njnqaoiIiIjIPDWT09ZERERERERERGSOU/BIRERERERERET6UvBIREREREREip2w6HmjroKIzBIFj0REREREREREpC8Fj0REREREREREpC8Fj0RExsjvD7h21FUQERERERGZRsEjERERERERERHpS8EjERERERERERHpS8GjWXbTQWePugoiIiIiIiIiItkUPBIRERERERERkb4UPBIRERERERERkb4UPBIRkTnn/MNfOOoqiIiIiIjMGwoeiYiIiIiIiIhIXwoeiYiIiIiIiIhIXwoeiYiIiIiIiIhIXwoeiYiIiIiIiIhIXwoeiYiIiIiIiIhIXwoeiYiIiIiIiIhIXwoeiYiIiIiIiIhIXwoeiYiIiIiIiIhIXwoeiYiIiIiIiIhIXwoeiYiIjJEdTjhp1FUQEREREZlGwSMREREREREREelLwSMREREREREREelLwSMREREREREREelLwSMREREREREREelLwSMREREREREREelLwSMREREREREREelLwaMx9PyTPzbqKoiIiIiIiIiIAAoeiYiIiIiIiIjIAAoeiYiIiIiIiIhIXwoeiYiIiIiIiMhAS4+4edRVkBFS8EhERERERGSO2+GEk0ZdBRGZYAoeiYiIiIiIiIhIXwoeiYiIiIiIiCQaxSWyIgWPRERERERERESkLwWPREREREREpBU7n7h41FUQkRmg4JGIiIiIiIiIiPSl4JGIiIiIiIiIiPSl4JGIiIiIiIiIiPSl4NEMeMGJR4y6CiIiIiIiIiIirVDwSERERERERERE+lLwSEREREREpIbnn/yxUVdBRGRWKHgkIiIiIiIiIiJ9KXgkIiIiIjNuhxNOGnUVREREpCYFj0REREREZE7b6+Rfj7oKIiITTcEjERERERERERHpS8EjEZExc9NBZ4+6CiIiIiJZdj/5eaOugojMAgWPRERERERERESkLwWPRERERERERESkLwWPRERERERERESkLwWPRERERERERESkLwWPZsgOJ5w06iqIiMg8pWuQiIiIiLRJwSMREREREREREelLwSMRERERmdduOujsUVdBRERkrCl4JCIyS05Y9LxRV0FERERERKSYgkciIiICwO4nK8ApIiIiIitS8EjmjZ1PXDzqKoiIiIiIiIjMOQoeiYiIiIiIiIhIXwoezaLfH3DtqKsgIiLzlBICi4iIiEhdCh6JiIiIiIiIiEhfCh6JiIiIiIiIiEhfCh6JiIiIiIiISCsOOma7UVdBZoCCRyIiIiIiIiIt2uGEk0ZdBZFWKXgkIiLF1KMkIiIiIjJ/KHgkIiIiIiIiIiJ9KXgkIiIy4X5/wLWjroKIiMwDmqolMrkUPBIRERERGeL5J39s1FUQEZkYNx109qirIIUUPBIRERERERGRxk5Y9LxRV0FmiIJHIiIiIiIi0qqTTvjjqKsgIi1S8EhEZAyogSXjaK+Tfz3qKoiIiIjIGFDwSEREWqMgmIiIiIjI5FHwSEREZI476JjtRl0FEREREZlgCh6JiIiIiIiIiEhfCh6JiIiIiNSgqboiIjJfKHgkIiIyQV5w4hGjroKIiIiITBgFj0RERERERERkVvz+gGtHXQWpQcEjERGZKFpeXkRERESkXQoeiYiIiIiIiIhIXwoeiYiIyDQ7nHDSqKsgIiIiImNEwSMREZEJpOl7IiIiItIWBY9mgZZxFZFJ9fyTPzbqKjRy0DHbjboKAOx+8vNGXQUREZnDtNKmzAW6L57bFDySWaNecBGRuWnpETePugoiIiIiMkIKHomIyIy46aCzR12FWadcQSIiIiIyiRQ8EhERERERERGRvhQ8EhERERERERGRvhQ8EhERERERERGRvhQ8mmFKEi0iIiIiMr/8/oBrR10FEZFWKXgkIiIiIiIiIiJ9KXgkE+mERc8bdRVEREREREREJoKCRyIiM+wPh35t1FWQETjphD+OugoiIiIiIq1Q8KglGukiIiIiMnnUxlvR80/+2KirICIyFm466OxRV2HWKHgkIiIyJl5w4hGjroKIDLHDCSeNugoiI/fbz+8z6iqIyCxT8EhERERERMbe+Ye/cNRVEBGZtxQ8EhGR1mmJYhEREZmPNK1TJpWCRyIiIiIiIiIi0peCRyIiIiIiIiIi0peCRyIiIiIiMueddMIfR10Fmed2P1mrM8rkUvBIetJcXREREREREREBBY9EREZu5xMXj7oKkmgJbhERERGRFSl4JCIiIiIiIiIifSl4JCIijbzgxCNGXQUREREREZlBCh6JiMicdMIiJaUUEZHZp+uPiMxHCh7JQMr/ISIiIiIiIjK/KXgkIjLLtIyriOTStNDxMi6fx7jUQ+anPxz6tVFXQURGQMEjmTP2OvnXo66CiIiIiIiIyLyj4JGIiMgcptwbIiIiIjLTFDwSKaQRUCIiIiIiMpMmLfes7qHmPgWPpNjvD7h21FUQERERERERkVmi4JGIiIiIiIiIiPSl4JGMPa0oIiIiIjI33HTQ2aOugoiIzAAFj2ReWnrEzaOugoiIiMwydUiJiIjUo+CRjKWDjtlu1FWQeeSkE/446iqIiIiIiIiMLQWPRESkiJaGn3k7n7gYmPnA5m8/v8+Mli8yqTrfUREZTKP91Ukpk0PBIxERkRn0+wOuVQ6QEZm0ZY5FRERERkXBIxGROer5J39s1FUQEZm39jr516OuwgoUqBYRkZmi4JGIiMgIKcebyOxQwF1ERKQ+BY9apBsAERkHvz/g2lFXYd5Q/icRERlXag+ISJsUPBIREWmBRjVMhu6OIOVNEhERGewPh35t1FWQWaDgkYhk082xiIjMB6U3QhrhIeNqWB4szZyYbOoAkTYpeCQiIjIhFOCVSfaCE48Y2WvrBltEpL6dT1w86ipICxQ8kr5G2UiT+eOkE/446iqIjDWNaBARybf0iJtHXQURkYmk4FELzj/8haOuwryjmykRkcmlEVTSj6ZgiIiIjIaCRzNIw/NEZD7ROU9ERGTmnX/4Cweu9qlR3bNPq6/KfKDgkUw8Tb8TmRm7n6yGkojIbFHeJZl0GnUqMt4UPBIRERERESmkTpQpCvyITD4Fj0RkLAxbSlZktmj63XjQqFERERGR8aHgkYw19WJMN1cThZ6w6Hl3D7fXDeHM2OvkX4+6CjJik9AD3nRajnJOjBd9HjNDbaMVKegvIjLzFDwSEZHG5mpgs2ouBjaHrfappKnt02qfkyE34K4VdcfDHw792qirMNZGFVDU90NkflHwqIFeF7JJ6PkVERGZq5RUWERGodfoJ03JF5FJouCRrGCuN7zVCyJ1zccRBXNxtI3ML9URIvPxOyoCmgJYpX0h42qu30PJcDufuHhep4pQ8Egmym8/v8+oq9CqSW4gKT/B3KNpA5Nt0hq9CoyOh0k7rkSG0XRhGVc6NtszX/elgkezZOkRN4+6Co3N1y+JTKZJyNEj7ZntfBEKxImIiMwvGj0rc52CRzJnaR65zCZNh5TZNp+HRY8bjZQUEZESGv0qk0jBozlE0erBo5/Uky8y8xREExEZLxoZLjJ/6H5QRknBI5E5YlQ9GN15l9STMnrVHCKafjezfn/AtRrlKDLHqDNJ5orOKs1qW4mMn0nOPVuXgkciItKqScjxNohuTGeGGmkybnIX4Zj0c56MLyWkl35mO5ejzA8KHjU0k6t7aURBc3PxxDnsxrSTe0PD1EVkPtJIMJHeNJ1lZo2i40DnOxEZJwoezTG6iNQzyYE4NRYnh3qvZ9dMjnRRsut2tRks1zlTRGSyaOSqyOxQ8EhEZBYo0fT8oZW5RFY0EzldFHCXSTAXR8m3Yb5NAR+n85UGIwyndntvCh6NEc1blkk3XxtIMvfMxrTQmZz2LIPlNJx1vhpvbY7u02g0mcs6SbdlNNoOgjW9H+w1CkudWs0pqX1Q8EiyaArG6Bx0zHZz+iYmJ3I/Tr0x851yaZVT4F9kOgVGRUSkH7X75y4Fj0TG1GwOl9Tw1SnaF2GS90MbvYS6OZ575nNgtM0e07nUmaRpB7NvJkdx6bw7f5TkKp3p73nOOW8unGtm69w9F/bFIPNtOmUpBY/mgJn+sle/JEo4Nx7GbXngmRpZMZduQibRXBzR1tZFve3GjaYNiIjIbNDN7ZRJDih22mh1ppypTSIzZUaDR2b2PDO7xsyuNbP39Ph/M7OD0v9fbmabzGR9ZLBRRoo7F8LzD3+h5upOiD8c+rUZvag3WUGvGjSZpADWXBpZMQmB6jbOmXO9h06kjpLzbq/Oi7baBHPpnCki0+UE0cahjVdyvpqEttGkmdTUBL2Oy5xZBzMWPDKzlYDPA9sDGwKvNLMNu/5se+BR6edNwKEzVR+pT4Gb8TMOF0OYGw3vagBrPl0ABlHjZDr10M2enIaJPo/x1SRo30/TaU6/P+DaiZ5mO24jkWX8zed2e/X6MZ/3Q4eSPPc2F+5fZkrTY2ImRx49FbjW3a9z938B/wfs1PU3OwFf9XABcC8ze+AM1mnO0Jd9btxAzIUGazVgMt+Oq2Ej2uai3PfR79jsN9Jl5xMXj01QclzoZmx2/Pbz+8yJxPrz8fsxTgH3utNsJ+HcP+j7MRePy3E6rkrNlfPVpGjjJv+kE/445z+P7u95dxuv2t4dZq7vi1GYlHvSXu+j9Ds2k8GjBwPVI/3G9Fzp38gsGIeerdmuQ53eztxejLk+FWXYUODZ7M3ptS87QbD5Mg+81+fR5vvoHk0wlxsW49bTOJf35aSoHhPDPo9h5+6SRtbuJz9vTuYV66gGXWbqffT7PDrTnjt1aON8NxfP/b00HVlRJ3DTuQZ1B+JecOIR7HDCSWN33h2l3GBem+eauazTuTeT01OrxrXTN+ceaL4cE/3UHfk6k+3l2dDrvNu0jCbM3VsrbFrBZrsA27n7G9Lj1wBPdfe3V/7mO8D+7r44PT4DeLe7X9pV1puIaW0AjwGuGfLy9wWafMOabj8pdWijjHGoQxtljEMd2ihjHOrQRhnjUIc2yhiHOrRRxjjUoY0yxqEObZQxDnVoo4xxqEMbZYxDHdooQ3Vor4xxqEMbZYxDHdooYxzq0EYZ41CHNsoYhzq0UcY41KGNMsahDm2UMQ51aKOM2ajD+u6+bs//cfcZ+QGeBpxWefxe4L1df3MY8MrK42uAB7bw2peMcvtJqYPex3jVQe9jvOqg9zFeddD7GK866H2MVx0m5X2MQx30PsarDnof41UHvY/xqoPex3jVYRLex0xOW7sYeJSZPczMVgVeAZza9TenAq9Nq65tAdzi7r+bwTqJiIiIiIiIiEiBlWeqYHe/w8zeBpwGrAQc6e5Xmdlb0v9/Efgu8HzgWuA2YPeZqo+IiIiIiIiIiJSbseARgLt/lwgQVZ/7YuXfDuw5Ay99+Ii3n5Q6tFHGONShjTLGoQ5tlDEOdWijjHGoQxtljEMd2ihjHOrQRhnjUIc2yhiHOrRRxjjUoY0yxqEObZShOrRXxjjUoY0yxqEObZQxDnVoo4xxqEMbZYxDHdooYxzq0EYZ41CHNsoYhzq0UcZI6zBjCbNFRERERERERGTum8mcRyIiIiIiIiIiMscpeCQiIiIiIiIiIn0peCQiIiIiIiIiIn1NTPDIzO5hZo9psP06ZvYkM9uk81OjjAPM7PEN6rBLznOzycwWmNnCEb128Wdq4aEzVacSZrZaznPzSd3vaToOr2ypDiuZ2YPMbL3OTxvlFtZhazPbPf17XTN72GzXYZTM7N6DfkZdv9k0TvtiHM5ZTd9zm+cKATP7ZM5zkqeN64+Z3d/MXph+7jcT9ZwNDdoDW+U8N6SMkR/XM1GHzr1MkzIavPbY3cNIuTbbJOkc1TjWYGYPMLMdzWwHM3tA4bZjdVya2VpmtuaoXr8NE5Ew28x2AA4AVnX3h5nZk4GPuPuOmdt/FHgd8Augs0Pc3Z9VWI83ALsTq9gtAr7u7rcUbL/E3TcZ9lyfbZczVfdp/0W8l+wAkJkdC7wFuBO4FFgb+Ky7fzpz+12A77v7cjN7P7AJ8DF3X1JQh9qfqZld6u5PyX2tHtu/eND/u/tJmeXU/jy7tnk0cChwf3d/QmoY7OjuH8vcfjXgJcAGVFZYdPePFNSh1z65BbjC3W/OLKPp9/QY4L3u/qvMavcq4+3AfsBNwF3paXf37MaWmR3U4+lbgEvc/ZSM7fcDNgUe4+6PNrMHAce7+9DGb1vHZirrnsC7gPXc/Y1m9qhUp29nbn9/4BPAg9x9ezPbEHiau385Y9vrifOV9X4b/vDMOmwFLHP3v5vZq4lzzYHufkPO9qmMvYnz9XLgCGBj4D3ufnpBGbW/o033hZl9i97n/k4BWd+vVFbjc1YL56ufA8uIz+R7XqOR0vRc0fDYbnwtbut6bmYvBD4KrE+c++u0B3odE5cXnjM/BXwM+AfwfWAj4B3u/rXM7dv4nrdxDbuEOC6Pdfe/5L52Zfs2rj8vAz4NnE18nk8H9nX3EzK2bbwfUzmrA28FtiaO08XAoe5+e0EZTdp4bZynGh/XaRsDdgUe7u4fScHAB7j7RbNYh7OBHYnv+DLgD8A57r5PQRm9/vYW4FJ3X5ZZRpN7mI8CH3b3O9LjhcSxuXvmaz/W3a+2Ph3/hfcfV7Di+fcW4BLiXuZPQ7Zv1LZKZTQ616Qyat2LtdU+S2V9DXgacCKwyN1/mv0Gpsp4A/BB4MxUp22Ic8WRmdu3cb5o4z7qicBXgXsT7+MPwG7unt3ZZWZb9qjDVwu2b9zehckJHl0KPAs42903Ts9ln4DN7Brgie7+r5bq8xgiiPRK4MfAl9z9rAF/vz3wfOBlwDcq/7UQ2NDdn9pGvXKZ2TJ3f7KZ7Qo8Bfhv4gKSuz8vd/cnmdnWwP5EA+H/ufvmBXWo/Zma2eeBr7j7xbmv17X9ogH/7e7++iHbPwB4MPA14FVMnYAXAl9098cW1uccYF/gsMq+uNLdn5C5/fdJjQAiINh5I58pqMN3iAtA5zh+JnAB8GjiJH50RhlNv6dnApsBFwF/r7yPkpvja4HNh138h5RxOPBY4Pj01EuAq4CHAte5+zuGbL+MOGEvqXFsd47N+wFbEhdTgG2J/TowuNRV1jeIY+K16Sb/HsD57v7kzO2/R1yE3ufuG5nZysBSd39ibh2aMrPLiRvRJwFHA18GXuzu2xSUcVmq/3bAnsAHiEZOScOi0Xe0CTMb+F7d/ZyMMlo7Z7VwvjLg2cDrgacS18SvuPvPCurQ6FwxDsd2G9L57sVEgKSosWdm/0kECB5OdKx1rAX82N1fXVBWp02xM/Ai4J3AWe6+Ueb2bXzP27iGPZJo272cuJFcBJyeu29buv5cBjynE/Ays3WBH+bsyzb2YyrnOOLmoxP8eyWwjrtn9+bXaQ+Y2dOI6947gM9V/mshsHPmPugc148Arq38V/Fxnco7lAgEPsvdH2dm6xDHxGazWIel7r5xusl+qLvvVyPAeyzRqfWt9NQLgItJbR13/9SAbRvfw5jZ/sBzie/XA4CDgYPd/ZDM+h/u7m8ys173Wu4FgwFSsPtO4Nj01CvS71uBrd19hyHbN2pbpTIanWtSGY3vxdqQAoGvJN6PMzW4Ynnm9tcAW3bOm2Z2H+A8dx84arHNe+uW7qPOI9oUZ6XHzwQ+4e5bZm5/NHHOWFapg7v7XgV1aNzehUrkao67w91viTZnLVcC9wKyep8GMbOViJPtY4E/ApcB+5jZm939FX02+y1xctiRODA7lhONrDr1uB+weuexl/XArmJmqxCNvEPc/d+F+7ZzUL+A6I06xcw+VFIAzT7TbYE3m9kNxI1Dp7c160Ka29MxwHbESLaHAJ9h6kZsOfD/apR3T3e/qGtf3FGw/UPc/Xk1XrfqLuBx7n4T3N0zfyiwOXAu0RAdpun39MN1N6z4NXEBaOKRREOx00N2KHA68Bzgiozt/+Xubmaetl8j94U7x6aZfZu4+P0uPX4g8PmidwGPcPeXm9krU9n/sLIP577ufpyZvTdtf4eZ3Tlso26psf0opp+vzs3c/I60L3cieim/bGa7lVYh/X4+cRG9rHA/QPPvaFSkxr6oBodSI3U9d7+m8KWr56zPVp6/lfJzVqN9kRrHPwB+YGbbEjeob003ze9x9/Mziml6rqh9bJvZQne/1foM73f3P2eUMXBqQE4Zya+BK0sDR8mxwPeIm473VJ5fXvD6Hauk388nbhr+XPgVa+N73vga5u7XAu8zsw8ALwSOBO4ysyNTvYbtlzauPwt8+kipP5GfgqKN/QgxiqIaqDkrfT9L1GkPrAqsSdy7rFV5/lbgpZlltHlcQwQDNzGzpQDu/hczW3WW67ByagO8DHhfje0B7gNs4u5/A7AYIX0C8AzivqRv8IgW7mHc/b1mdgZwIfAX4Bnp+5bF3d+Ufm+bu80AW/n0keBXmNmP3X0rixF7wzRtW7VxroGa92I2JG2LF4ziSn9/q5mdCNyDCPzuDOxrZge5+8EZRdxIHEsdy4lz6TBt3lu3cR+1hlcGkrj72SXtfyK4u2HN63lHG+3diQkeXWlmrwJWshgeuBdwXsH2+wNLLfIk/LPzpBeMaAAws88COxCjAT7hU8NWP5kipz25+2XAZSnyvzL1Gv+dOuxIBCweRATD1gd+CpTkYjoM+CUR+DrXzNanrMHzGzM7jOg9/qTFcL/SOa9NPtPtC1+rLzN7AbHvqjdzA4cpuvtRwFFm9hJ3P7GFavzRzB5BGkZrZi8Fflew/Xlm9kR3zwls9LNBp9Gd3Aw8Ot0E/DuzjEbfU3c/Jx2Lj3L3H1oMDV4pd/vkOuBsi17o6nf9s/03WcGDgTWY+k6sQUxvudPM/tl/s7sdl74f9zKzNxIjLL5U8PoQn0f1GLiJ6EEv8a8UbOgcV4+gsk8y/D31AHW234LCGyOLntK9iaDFMmAL4HyiRzrH8nSD/2rgGSl4v8qQbbpdamanAw8D3mtmazE1pSRX0+9o431hlWkgwMOsYBpIy+esRvsiHVOvBl5DHNdvB04FnkyM9huaH6yFc0WTY/tYorF/KSsO/XdiJM8wvbYtLQPg3cB3LUaDFZ3vPKbc3wK8Mn2v7k+0T9Y0szULO6S+ZWZXE9PW3moxWiZ7ihPtfM/buIZhMQ1zd6LxfSJwDDF960ziGO21TWdKUBvXn++b2WnA19PjlxOBiBxt7EeI9vIW7n4BgJltToyyL1HcHkiB8nPM7CteONWuUsYtFtNCn1i3jC7/Tvuxc65YlyHXjxmow0eA04DF7n6xmT0c+HlhGesB1dkX/wbWT4GPge2CNu5hzOwZwIHEe3kicIiZvd7df1tYzkeBD7n7nelx0fS3ZE0z29zdL0xlPJUIWkJeR0jTthVpu+JzTZe692KDRtM4+e2zTrvk9cSImaOBp7r7zema/FNihFm/bTvnzd8AF5rZKen1dyJGFQ+UAiNXAs9NbZwm2riPui4FAzsdFa8Gri/Y/kpiVF5R27JLG+3diQkevZ2Itv+TuKCeRszzz3UU8Eli1EDxTqy4Eni/u9/W4/9yhsc9j5qN/4qPEjcdP/QYxrotMVywxGHufndeFzP7FTEKKdfLSO/F3f9q0SOyb2Edqp/pscRnmpUzo3Mxtq7RV6XM7IvAPYmRTEcQPVtDT1gVD0kXruVEcGATaswtJYYWHg481sx+Q5xsSoY1bw28zmIe8z8pHImV/MhitEt1qta5KWr+18wyGn1PU6DlTcR84UcQQZwvAv+RWwbwq/Szavqp41PAMos8A0b0zH0i7YsfDtvY3Q8ws+cQvaWPAT7o7j8orMPZlRsIJ4ZV950a28d+RP6Rh1rkiNmKGH2Sax/ipv4RZvZjYF3ye3879iamF13g7tua2WMpGzXycmKa1R7u/nuLfBNZudkq9iAaYte5+20paFA6+rDpdxSa74sPEdeZswHcfZmZbVBYhx+b2Zepkeunoum+OJ9oXL3I3W+sPH9JOicP1cK5ovax7e4vTL+HBrkGlFF72y4fB/5GXAdrne/M7G3EsTUtTw8x9SmLu7/HIhHwrSnI/nfiBiBXG9/zxtcwi6lWfyWme73H3Ts3hBfa4ITNnVEyva4/Rb3I7r6vRf6mrYnrz+HufnLm5o32o03lglkFeG1qGzrRSfmTgrcBvdt4ue2B1Symj2/A9NwfWTe17n6XmV1mZusVBkF7OQg4Gbi/mX2cOE+8f5brcIa7d45r3P064vgucSxwQbpBh+gI/3r6fuR+tk3uYQ4AdnH3nwCkY/xMYhZHiZWBiywWJLl7+lthGW8AjrRIamxEW+0NaV/sn7F907ZVk3NNVa17sZZGb3XsAnzOu0ZQp7bWwBQgTJ03f8H0qdOn9PjbntL15j5mtqo3S03Txn3U64k2XSc36blktDVtKq/lWsBPzOwi6g906W7v3junDivUqdnop8lgZud44ZzvPuWc4e7/Mey5Ads3ygmT/v4Sd9/UYgjxxukCdZGXze38DrCTT03LeSDwbc9MQm19Vg/JuUCa2dHu/hoz29vdD8ytc1cZPUdfuXvRSng2NV+483tN4CR3f27m9q3MLa2UtwYxZD1rnnBlu/V7PV/S42VmRjRGtiJOmouBExsOnyxikSvoqcCFle/HFV4jD0mKtrunIdo1tn9gqosBF5X2jqUyFjK94Vs0XN0if8gz0sNzC24gqmXchwg2GxG0+GPh9isTATADrnH37B78tP3F7r5Z+mw3d/d/WsqPUlJOHdby0OxUZq3vaNq20b4wswvdfXNL+S/Sc6XXj9Zy/dTZFxY9+J/2gkSvfcpZRsNzRdNjO5XRZEpm4zI67YGS1+tRRuM8PamcWok+0zFxmrs/u+HrN76GmdnD04153TrsUr3J7/fckDI+6e7/Pey5PtuuAdyebqgeTdyYfy/32O7XlugobFPU3hepfftFVsw/cmnfjVYso3EOxUpZj2UqMH2mZyYFbqsO1sIiA6mcpzAVlFzs7pcUbt8kV+lKnkYLVZ67T53zjpk9m8jdVDz9rauctYn75L/W2LZp26rRuSaVcbS7v2bYcwO2XwX4T6bamWcTgwtKRmo+DPidp2T6FiOy7u/uv8wto1LWGu7+9+F/ucJ2hxGd96cy/XuWPeKzjfuoSllrltx7WAt5LStltbJowkSMPEoXwf+iZi8EMYxrf+LAqkbzsm4eLFaeuCdw39TQ6ww1X0gEMHI1zQkD8NcU5DgXOMbMbqY898Y3gRPM7CVEEuBTif2b6ztMDblfnRgedw15U+eekr6krzezr9I1bD/zBruN0VcQQ+wBbrNYEetPZEyZqGhlbqmZ3Qt4Len47hThmUnS3P0GM9uIWJUF4Ecew4yzpcbICemnFjPblMifsgHTv6e5N7f/dPd/dd5/urkrTQL7BGJUw73T4z8SSQ2vyti2ezWPzpzrB5jZAwrOF28mhmb/g+jJN8qmonScR3y3nbIRcVUPJqbzrExMYyhZTXAl4tjeIG3/3LR9yRSMG9Px/U0ix81fiHnqWSymEx0MPI7o7VwJ+Ju7r52xeWdo9urEwgCXE5/Fk4i8C1sX1ONeNPiOJo32Bc2nb0MLeazM7BPApzoN7nRNfJe75/TG35nOVU01Ole0cWxb8ymZbZTxQzN7rpePdq1qnKfH+iT6JFaeGSgdE7eZ2dpesHptj3IaX8OI0Qe1ju3kvUyNfBr03CDPIRYxqdq+x3O9nAs8PdX7DCIfyMuJ1cKG8qlR3T07CAs12Rd3uPuhDV+/jRyKHasx1d4rGeHXVh0ezdQiAwdbJGzOWmTApudou57KNBozu3dhp1bte5j0PV8hTQTRVspmDaa/mdmr3f1r1rXyXOV6XpreoFbbKvlNup5vQM3Vvei650rXtZKVqA8lRhl+IT1+TXruDQVlHE8kue+4Mz3XN6F8N4tE+V8mpg6ul9oIb3b3t2YW8dv0s4DpudKyeQszWlIHyhEUvo9OcCgF///hMSjk7uB/YTUOBTZKr/1uYr9+lVjBLttEBI+IA/GLxIdSnLCVWPkIomHWUTKv881EErAHAdUbyFspS2LbRuN/J+Km9J1Eg2BtCi9Q7v4li4R/3yROXG9295LcNNN6d9PN9pszN/8iMdzz4USvUp18Ef929z+Z2QIzW+DuZ1kMmS/17XQz92nic3XiGMvVytxS4LvEqjC1plVaLM34RqaGSn7NYmWKoUN5zWyxu29tKy4d3RmyubCgKscQQ2brTg89x8z+H3APi2lfb2VqZZBchwP7+PTVDr7E9ItbP/sQU2F6zQcvOV/8F/D40p6oKltxueaDzSxrueZKGUcSgZKrmD4dJbeB8y0ib0nt6b7uvnP654csVklZm/j+5zqEmLJ3PJFM8LXEKI2c194WwMz+D3iTp7nsKcBYEiyHht/RVJ9e+6KkYdBkGkhH4zxWwPbufneSbY8Ess8nYypHsszMTiU+02ovYUnDu+m5ovGxTfNpiG2UsSfwboucJf+m3nm7jTw9TRN93k4krf0B04+JklVmXkykJ7gfsR/q7Itax7ZNrfrzYDM7qPJfC8ns3LPK6ncWq6aR3sOa5OcbMo+pCnsQK1l9ymKUXqnaHYRt7Asih9Zbieli1WMyO9DhkRft/kzdxF7k0xORZ6m0r04k9kd2+6qtOqTvVd1FBtrI0dZR+x7GmqeJ6Ggy/a2TvLhWgKGjhbYVxNSsW4jPpShfUur86Vz/bu08TeS0OrygqM18emL8M608Mf7KXpkuljp1SqdQ/y+xqMepqYzLUpAwi7t/GGg048DaySf8ORq8DxoG/5N2Fk1w9zn/Qywj32T7h+c8l1HO2xvW455EjoKL00HxcWD1wjI+mfNcn233qfy8i+glPLrzXMP3tqTw7w9t8Fo/JBpUBxM5YQ4klnUsLWe16r+Jm7nVCrZfQAwJvFd6fB/gSTO973psfzmR5b/zeA3g8iZl1qzH4obbLyAaaccTvcdvJBrDJWVclvPcDO+H7xMrUjUp4zLgfpXH65a+D+AnDevQ6BhKn+eVDcu4pLsupd91Ygjv0OeGlNHoO5rKODrnuQHb75Lz3JAyNiFuRG9Jv39Wes5K55vqufMewFUF2y/q8XNkjWOr9rmijfMjcHHnWOrsjxrHVeMyWngf+/X6KSzjeOCBDeqwW6+fwjKuJVZba7Ivah3bwEapzjd0vYcXE0vc57z22kRn3teJG5fOz70L6r8UeBoR6H58eu6KFo6RTYjpLDl/28a+uL7Hz3WFdX5ZqsNRRM/79cBLax4TtdpXLdbhPkSg+RIisPdiYnDApsD1TT/fgnpU72EuTv/OajN39lnl95rE0vSldVip1/6ZrX2QXq9R2yqV0ahtlMrYv+H2S4iV4zqPH075vdwPgB0rj3cicnSVlHFh+r208lx2exd4Qjr33ZB+Lu2c/wrKuCx9z5amx9sS+eZm830sSb/fDrw7/XtZYR3OIUZ4/pzICbZSnWvApIw8atoLcQJx8as6nrLhfQC3mNlru5/0jHn96e9uI5Zm/GQ8LM+bQbMhzd3R9pP7PD9Q15DPTgDlDyVluPt/prKmDRH0vMSCO7Hi6Kuioa/J+aTjwiNZ3T/NbAkrHiv9OLAh0avzEaJRUWe449EWCWC/Tb3j25g+Iu9OuqYDZhUSI8i2Jt7XYndfWljEfmZ2BBExr76PrN4Yd7+LGCVUujJZVdPVDjrTVN/K1L74EfBFT3O6M7yXWLnhQqbvh5IpTk2Wa+4438w29NRDV8P3mkyJ8XYSht6WerGWmdmniFUoSpY+BfhpOi6/RnyeryZ6lEo0/Y5C8yHmbUyJ+TMxfPnuXD/krepS9TXgDDNbROzP1xM3R1m8bFWcfmU0PVc0OraTptMQG5fRr1fTC/Iu+VSvba18E8l9aZDo092PssiVUXslWuAmz8xFM0CtY9unr0ZlTK2MmZ1Ly6evfrcRlWnoxPc2xzuIc8LJ7n6VxapcZ2VuO6huS8wsaxpKdV/kvvceZbSRUP59xMiKmwEsVkn7IeXTGpu0r9qqQ+NFBtLrdxKxO5He4JuF9Xilu7+PeF+dMv8HeE/Gtk3TRADtTH9L34sDidkoTuzfd3p+DqKmbStoZ3Wvb3fO21Yvv82+wFlmdh1xTK9PnPNKvIVIoXJIKuPXxAjxEr+2mPLlqb23F2VttCYzDjramNHS9H2YxRS+XYnE11C+4nRn0YTXe/3FJyYmeLRb+l3NIu8MGW6ZhoA/Hlg7nTQ7FlLvJr968VydSKC3hIx5/ak+mwFHkoI1ZnYL8QEPTQLYZ0gzqaysIc2dRmKlzLpD/KrBpjuInpCi5Z8tlnf8LPWGCN6PqQRtnUbn/YmLUc5rP4CYr3wPM9uY6Tms7lnwNr5ADFl9FnHhWk7sh+y5vsm/iC/3+5iaOjb0+K5YRKzQ0AkGvoiY55rNzD5IrJrQCfR8xcyOd/esFfCS3Ymhw6tQYyivRaK3DxHHwspMTTsoGVZdXe3AyFztoMtXic+yMyz9lUTDbZfM7Q8jhlE3mRLTa7nm7xaWcRTRyPk99VaPuAA42cwWUH9KzAOBq9JNZZ2Eoa8hLp5vI4LFD6V8lZndiaSQe6fH5xLzwkvU/o42HWLe0jSQjhOJXsKrUtnPIKZeZyea9pgKcwVx/TPgo+5+2rDtzOxgBuQlKgmutnCuaHxse/MpmW2UUW0TrU4kEe8ktc1izfNNQHwWtaX2QNOVaC+xyAXzTWp0XqS/rXVsV2xJXD9+mbZ/qJntVhLMM7O9iOnTxdPQfWqp+zXS4+uIG5gibXQQAhtY5BrdkOkdhFnfUYvpxd3bZrW1kzY6YKBZ+6qtOjzG3d3M1rKuZLzunnWDa2ZfAB7JVJviLWb2HHffs6AeLzWz2939mFTm58m/l2qaJoL0mm1MfzuWuO51zr+vIPbL5pnbN21bQTurezXNb7OYSAPQ6Uy6uuC1AXD3XwBbWFq5ruagiLcQwbwHAzcCpxNTsnOt0QkcpTqd3TkHFmgjn3DT97E3DYP/KWB0IlPpHf7I1ECRbPN6tTWLOX8vAnYkzUFMlgP/5wV5fvqUvzYx7SCrgZOCPnu6+4/S462BL+ScLNJrrUMsI1mN8i8v7P1eIakwcXBlJRXuKmchNUdQWcyrfRZdSa/d/U0Z214CbOlpnm2K8P7Y3bOCNhbzP19HDPmtrjaxnEhCmBvsWOLum9j01Y8u8+lziHPK+QWx2k2THDmdUUNGrMxVNGrIzH5KrN5XXTFhibs/rqCMWiujVba/mggQdK+w0mgVoBr1WOEzLPlczew8dy/p8ehXTqeXsPOZFl0ALFZR2oeuIFZur1TqjXoRMeS11oXE+qwi4QWrR7QhnSMeQzRY66wa18Z3dH93f2+N7TYiRgd9BPhg5b+WA2e5+18KytqMCHrvQNwQfgLYwd1/PXDDFtiQeffunj16qem5oo1jO5WzDhHQrCY8LVrFr40yKmU9lEhmnr2AhMUIyZcCp1auY1e6+xPq1KEO672KU+nqeYt6PO3uXtqTXlt6H6/yNHrKIunp1z1zJdu0zeXA0zyNAks3QednthPvDgS6e91AIGa2X+XhHUQw7ETPH32LmS0mpkB+jjjf7E7ck+w3cMOp138mETz6LjG6frG7v7Tg9T9N5KWpdsBc7hmr1vUo6ylMreKX3b5qqw5dbXYjAnm7ufuVBWVcBTyhc75LgfMrvGCV4tQuPJXoBN8e+LO7vyNz29U8LUdvZqsRQafbfWqJ+tw6NFolOZVxobtv3vXcBe6+Rb9tuv62UdsqlbF+r+cLy+jcg3wQ+I1Hfpslnrnic6+/Ldk+/f1qRIfeBtRM/G1mq5ecW3psfzIRkKzOONjU3V9UUMYaRO49Y2pGyzGzff/RlMUI+TcR050fYZGb7IueuSp8x5weeWRmz3L3M236qKG7DbvJd/dTgFPM7Gk+OKFcXbeRmbw1Wd4JHAG4+2KLRMVD+fQhzSsRI21WBtZMPREl00IaDfGzWFVrETVGUFU0GSLYKEFbukk5ysxe4u5FI6a6/Dt9Fp2L8brUG2lyFXEsFbHpq2j8Mv10/q90FY1fki7m6fFqwC8Kq3SBNRvKe4u7l64sAICZ/a+7v8PMvkWP0Q25Ad5kqZlt4e4XpLI3Jz9hKcQw4DcRSXnrTnEivea/ofZqa79y91OH/1lfPyfm5de+ufZIGLo+8Ch3/6GZ3ZOCYbgWowC6X/8WIuj7sZwLezq/HUWD0QDU/I6m13+su18NHG9TK/ndbVigwFuYElMp62KLkQ2nE9/157h70YgCq5mYuDs4ZM2mSdU+VySNj20z+yjRCXEd00daloz6aVxGlxuJ/A9F3P3XNn0FpdIV+Hqtivj3YcdERa9VnIo+G29hOmQL72MVr0y7c/efWSyHXVQN6k+T+l+aJWwlbdeZyli7gxC4h7ufYWaWbog/ZGY/IgJKw7yUyJ201N13t0g6XTRKxd337eqAOby0A6ZiGTFlemUAy5yK3WIderXZD6dsWs41wHpEThiIgPXl/f98SmpjdryBGN33Y+AjBW3NpmkiOmpPf6u8j7PM7D3A/xHnmZcTMyhyNW1b4S2skgwstxjZ/GpixbeViJH/A1l7sy+gQeLviivN7CZiiu65xGCAWwq2bzzjoKstkt2RBbQ2qjrdQ76brimZnr+yPMRIp6cSKwrj7j+3SA9TZE4Hj4ihd2cSvRbdsqfDEDeDe7LiB1LUI9V1Y7qA6BU5LmO7zsnxIjM7jOiF6Jywzi6sw9uIIeI3Mb2xWTLUsekQvyOBt/r0EVSLCuvQZIjgH8xsx87J22KEWZ0RAd+2ZktlHkQMB7yfmX2caPB8oEY97iRyupxFWY6c7lU0Ooz8KTWdk94/ielFP0iPn0MMaS2xNbCb1R+Ge1bqqTuJ6fshpxe+0+NwQEF9p6kEKlYBXmtmv0qP1wdKAmKvSr+ro0xKpiFiLay2BlydAg7dQazc8+bviFWYvkfNVZiqvSDEUt4PJlZczO0F+R7x/Tg2PX4FsT9uAb5C72tDt88Az+0eDUBZvqG631FobxW/2lNiegRV70nswy9bLDFcElz9FDFaqVZ+GWswTapyLW1yroAWjm0iGe4jqh0ZNTQqo6vRuoAYoVZ6A9I0TwM0WBUxabKK07s9ppv1bMDnNtyTXu/jkQXbX2JmX2bqerQrcX0u0WgaetNAILTWQXi7xeiWn6d262+IgHOOznLVd6QA1s2UrQrWcR7x/u8iEjwXM7O3EwGvm5gK5JW0uRvXgQZt9sq5f20i/99F6fHm5K/23KuN+YL0M7Bt03KgAppNf+teca66SrSTv3pp07YV1mCV5IpOfps9vCy/zXZEp8VDiHZJZ3/cSkyxL/EQd39e4TbTuPsjU92fTtzTfMHM/uruT87c/i/AXhYzdO4qCXZbOytOd2awbEXEBb6RHu9C2fn/mLTtC4kpcLtRPl34n2lABQBmtjKFHTHA/J621mFmxxNzOV9FDP3fFfipu+89cMMVy6lOwbgDuMGnJ6/rt92gOYteElW0GC65eZOhdNZwiJ+Z/djdtxr23JAy1iB6EBZQOETQzB5BfMkelJ66EXiNx9zbbGb2faYi5tWpD71u8vqV8Vim8iOcUeeGyvpM5+juqZ8J/V67Th2s4TDcPt+T0u/H3u5+4LDn+mzbs/6VimQPJ27KYlrnc7wr0aYXTIm0htM4bPrUhWoBH+71fJ8ylpF6QbzGdJRB55rcciwNbx/23JAyRvYdrdSh9pQY6zN9sMMLphGWnut7bF97mlRb19KWju0Tgf/0Gktvt1VG13F5B/BLdy8ZJYmZ3ZfI0/Bs4jp2OrB3SRvDzC5x902r3ysrmL5rMSLxfcBzUx1OI/INDZ3KYGY7uPu32viOtvA+ViN6fu+ebkykJiidmlN3mtQJRC7JQ4hkwHsRbbtXFL5+7RQLlTI2I4KQ9yJuyhcSUyovzNj2C8RN7CuIlYH/Rqw6lD2awMzeQEzzPZPYj9sQebSOzC0jlVO7zd1iHWq32ds696dA4NNqnF+qaSIuZnqg4qiSgEsqr5Xpb000bVulMmpPT22LDZl9kTqnBp4/zexw4GBvkPjbzB5CBI62IUYc/pmYprp/5vbT8gkT93Wlwe7GUvvkuZ5GhFuMOj3d3bfN3P5Sd39K1/XnHHcf+B3uKuNTwF+Jjo+3E7mSf+KR6D6fN1jGb9Q/TF9afoWfgnKWpt+dJSJXAc4c9fvrUc/dMv7mLGLaVpPXWYcYNbOEWN7wQDKWUCWGl25CzGE/jJiTvg2RQ+PjhXV4GLB65fE9gA0Ky1gTWKvOfkx/13QZ8UZLbw/4bEqXzl5hWcxez2WUcw8iMWPduj+CqeWmn0k0XO/VZH/UqMMKy4xSWTazoJyViODkep2fgm136RyXwPuJnqWNC1//iq7HC7qfm+X9ugBYWGO7aUuXEiP8spdJJ0ZRbF55/FTS0qe5nyvRqPhyOiafSUzRXdRgXxR/R9N2q6dr10lE4up3VM+BGduvsN8K9+VKRACy6bFwINE79kpiyegXAy+ue0x0PufCOjw857mZ/CFuhn5DBDpO7fyMoIxG5+2W9sW5xDSvrxIj095Z+pm2UIcNejy32Wy/j7T9E4npg6vUfC+1rj/EqnfHEKNkbiZWjytexpyYNjL0uSFl7JLzXI+/MeCh1c+15vn2mup7J5bhvqZGObXb3C3WodpmX0JMT7xXYRmfzHluSBnn19kPaduXDPn/3TLL6dXGK1pePm2zJTGg4LWdn7rvreb+uILp90Crk9nGIwIrEHkPb638LAdubbGOQ/crMSr/X+lYvzy9r+x2SSrjLmKa1U4163k58PTK461L6kC0bxvdD6ZyriFyDXUer1PyfQcuSL9PI0b1bQz8orAOC4gRbccTqzq+kTSQqORnrk9bK1pCfoBOXoi/WiSe+z1xQSpizefDD7M3w+daXkcMt/8ONYfb+9QQv4XEEL/c1da6R+RUe2899/WT45k+X/vO9Fz2SmUD6p2zH6H5UplNl97ubHc2kdR9ZWJu/R9StHmfIdutTgz7va9F0tXqcOAH9d2wd1ltrHZzIrCpmT2SuFk/lZhu9PyCeqywBKtnTCM0s1cSDYGHmVl1LvpaZK7CVymrOky9ztTQD7j78am3djtiv36R/JU8oIXV1lIPxMeIEX7fJ3p03uHuX8vc/lhi6OydxOi8tc3ss+5esuznOWbWWWnsOUQvyLcKtn8DcKTFFFeIxtEeqZcuq1eKWGltTyKYefdogII61P6OdvkqzVbxazQlxmOJ49vMbG0vyyfQbSGR/6maoNTJn0bexjSpE1gxV8bxDDn/Wru50Y4icj81WVWxURltnLfN7GFED+UGTJ++XbIvGq2KmEbR/VePOpTkejjRYjr7b1KZ2xAjcEoWcWj6Pp5Jw/xqVnOaVGp//K+775r7WgP0TLFgadqo500PfS/xnRz23DTu7mb2TdJ32d1/WVTzKTcS59uO5cQy4llsasW5Jm3uRnWoeLZ3Tb80s10Ysi+7PAfoTtS9fY/nBjndzF5CJKguavP78PyiA9vt1uL0NzM7mujsXMbUrAMnf+XsRm2rZBE1p6e6+9bpd1v3yP3k5FrbvoXX2ZgI+LzKIhfVz4Fz3D13um7tfMLp7+8ys8ssM5fZAP9DpMk5Kz3ehrKVSD9mMfXuXUQ7cSFxHcrm7ncRHaRfKtmu25yftpYuiHu5++calPEG4sb2iUSejDWJG7zDCsu5hB7z4b10OFj/8pd6GsY/4G/26/W8lw23fyJxkqyutrabF6zcMKT83Xz4UMdl3jWf1WqsVNan7KH7Mf3dT4h8BtdTkKPHKktvM5VE10hLb3vhikqd+qbj9KHuvp9lTKuxmDP9DiJQ9BumDwf+krsfUlCHNla76az88G4iZ8HBuZ9F2r7nEqzuvkfGtusTo9lWWI2Q6IHIXnKzyTD1tH3n89yf6Ek6tuCYrA7Jbrra2jJ3f7KZ7Uw0TN5JrM6V9R2rbL8r0ZD/b+DSYcdlVxkLgD2YPh3liNKGZ7qgmrv/tev5oeea9HdNV1ur9R3tKqPpKn6Np8SY2XHEdJYfAHcniOy+MZlJ1mCalMU04ccTo0Kqy9QvBPb1ISsHmdlT3P1Sa2EVwNLh5DNRRp/zdvFxSdy0dK8clL0vmkp1+CIrTiHPDo7aCFcSrNShjdXWmkyTOo14z03ycDWaHmpm2xMdRi9jKvcHxHd0Q3d/asbrf55Y+bZujiDM7KtEm/8U4ry/E7HwxM/SmxgY/OnX1u7IaXM3rUOlnNqrYpnZfxKdNo8Arq3811rEaLJX59QhlbUcWIOYIttZmcrb6EAf1kayFqe/WawuvGFpO6SyfaO2VaWcWtNTu8qoLqAEQMMASLXs3GNsa2JRlEUWKRbWdPfrC19rTaJt83RiWqa7+waZ236OuHeoBrv/Qtz3ZwW7zexMYvDCRUxvG5V0onSCnJ2O4gvd/fcF2zZadS6VsRURsFqfOCY639GinHFzfeRRp7d0R2KqVN0yOsnUzqVHYrfcG5BU1rVmtpK73wksMrPchHNZxWe8/ocBrNlKNYfRfOWGQXJG/rSV9LqX3AtCrYi5u+9vsTLcEd7OMsArm9kDicZWdiDSI4/PgWb2di9LstdL49VuiNXnXkkEVTuJjEtWmtnSp5Zg/bCZfYbM0Qwe+YhuAJ5WVOPefk3Mma7rN6nX9tnAJ9NN/4LMbc8HNjGzo939NeSP5uils++fT9zA/Lnr8x26vcWc7RcBh7j7v82stLexlV4Q7z9SZui5xloYDUDN72iXRqv4pSDRZ9NPXd+hbFWZFViMeNyD+gtQ/M3rj454DJFM8l5MT5a+nBiePVAlGPFk75EbDSgJmFyaAsSnUi9pdxtl9Dpvl7rd3Q+qs6GZHefuL7PeqyJSEMS6w90PrVOHymu1sZLgC4n8PN0N79yb4zZWW2ty/fkl8GOL0bfVG6Cic4YPydExpM38WyKB7I5MHxm5nPxe9G2BN5vZDcT7yOrY6/ILpq8Ye0r6nTVao1dwKHWGrOnut85GHSqBuAebWfU7upD8BWaOJRaeWKFjzQtXgPWZHekysG3hmaskZ97PXQk8gFg4oY6mbauOZdRYxa/Dmo+SH/oSGXXYjwjoPYYYTbUKMV22JAfuJcQKz+cRC/U8w8tyjD45/e4O+G5J/qIk2QMwullaUdemFvTodFg8yMweVHA9b7rqHERH0Dvp6ogpNeeDR8l5ZnYI0YtRvSCWNNIGyZ3mdFvqwV5mMWzxd0QUvi05X9TaK9VUNF1tbWg1M/7mLcQqa53RMTcSQ8Zn6/XxWCpzhYh55rZ3pX3fho8QIzIWpwbww4lhm1k8Rvg8gcjyX72ZyxqCm9Re7aZid+Jz/bi7X28xHaJkGG/tJVg7rJ2ppU2nhr4MeB5wgLv/NQUd9h2yTceqqYdtS4uRR9OU9K4B3zKzq4n9+tZ0fJf0ahxG3IxcBpxrMbort9EMtNcLMuglMv6mjdXWOt/RH9f5jiabM7WKH0Quk592bryH3Rj12JcQG2bvy9xOkiGOJhag2I7KAhQF29duILn7KcApZvY0dz+/rNrT7EaMfqp6XY/nBun0km9ReS63odpWGW2ctw9MNwCnUx7A2jv9fmHhawJgU0tnf8vM3kqsXlqtw9CbW2t3JcH/JXJ4XVFzVELtqaXWzjSp36afBbSX9qGXvm1mj+XGLzOzY30qcew6xIjNv2SW33gqTDX4UyPoczdrMH27hTr8Nr1m7UBcCi4vB55YeEPeU/osH8X0tmZJR0zfonP+aFDgKOl7bFbOFWsBP7FYea76Hcs9VzRtW9WentplbyLfXe0FlIbI6dzambiOLQFw99+aWem5Z/vSQH/VsGB3ZhlNRtruQwsr6nrDVeeSW9z9ewV/39Ocn7YGfYfQupfNhx9U/lLPm1KyPvFFX5U4ca9NTBu4duCG+fU4xN3fNuRvaq9UUynjZBqstpZRftZQx/S3axLH6fKu57NHg/Uoc+h+TH93d8Tc3R+dAhbHe+ZKQtbC0OpUzr1Le4C6tt+PSAS8IZEXZ3siEPXSgjKqq91A3Ch/zAuHUJrZPYjkntcM/eMVt/0AEfj5D+DzxEn3CHf/QEEZjaeWWjtTQ2sNJU7BzF2JANSpXf/tBaM7OuWtQyRQvDN9xgu9YBhtj/JW9rIpgFfToxekrcZOzrnGWlhtrQ3WcDW/NvZlCjDsz4qB5uwAlE1N4bvcY6TgKsBpJdfjSgNpK6L3tqiBZDVHP9lUbrStieBVx1rAne7+7Nw6ZNSx9jUstwxrsEpZpYz9iY6bX1DpvS78PB8G/K7zuuk6cH8fkq/GzK6HaUtnV2UFma3dlQTPAv7DY8RkMWswtbTfdaej8PqzMDbJX7K6RE6b2XrkiSPymAzNE5fODysoHJWxQtAHKM3ZV52iVDx9u8U6rOKFU617lHEM8N6SfdijjDcQAYuHEJ/pFkQS7cb3Yrnt9oxy+h6bLZ8rGrWtrJ2Vs88iRlhmt8m6tt+bGC20nEgVsTHwHnc/vaCMi9z9qTaVtiJ71bhKwLyn3A7brvfxJWLacun7mOmcxjl1aLTqXCrjf4i6n0T9EdGTMfKojajisJfIrMcNqVH0wJILecewL2ruidPdf23Th0iWDk17PTFE7ySmGji7F5YxSPb4Ta+R9Lqt/UjziHkbQ6shkuYtI97T92r0eL6UONEsdffdzez+xH7JkgIdp6Ybp9r5u6xh8lZ3/2j654lm9m1iJYri4fvecGqpT00NXSseZieUJ21Xeyixuy8GFpvZVd6VsyrdmJTUYxfg+6lx837igvoxYsGAQdsNa9yXTIFopRdkgJxzTaNE03D3aKVDiRviJ5jZk4Ad3f1jBcWsDNzo7v+0mEr3JOCr3pXHaYA29uUi4tj8HHH+2p2C83XSaAGK1EDaimgkbQRcRQxVL1F39NN5xIjh+zK9l3A5sWJLm3JHNNcuw91vI87Z70vn8TVKA/7EdfDh3ixPTq0FMNz9YUDPXA8pQDiUu5+T3vtpLQT/3g1818zOocao0/TdPgQ4gzj3X5O7X7vblHUCQGa2KfEdXys9voWZWbI6p42ytrvfmgIOizzlicss/ztMBRVXJ0YgX0PXIiVDbJhef1eiU+2/ifN+UeCGZtO3G9XBKtNBrce0qMK25gOBqyxG29TN6bI38Z2+wN23tchBl3Uv1GK7fZi+n00nONQv2F34Oo8DNjCz6n12yWj/pukRoPko+de7+4Fmth2wLtEeWESMQs11nEWahnuZ2RuJ+8vcNAVtjY6svo/7Ue99HMKKHc+PKqmERe6+/wOOc/dfDPv7Hn5F5PP6hLu/pcb2MJVvadPKc6Ujoud28MjMXu3uX+t3M1PwBRn6Upn1abqySRtf1MYr1fjUamtrE6uttd07lZ3HY4BBn0kb+xHgX+7unYaAlU/da2OVAYBHE/lxXg8cbGbfIEY0/Sxz+394TKO7IzU4b6ZHbq9+vL1VmD5ELKV+dip3WbpIZ0m9N+8iRi690czWM7Onu/u3C+rQeGppuiE+mpRQ3sz+SCzjelVmEW0MJX49cTGrOp8VV5gapNeqb4cyfNW3zgX9MURDsTMCagci0FziLDP7NA17QQbIOdc0Xm2NaAztS0zlw90vT73KJcGjWqsR2tQ8+jb25T3c/QwzM4+RTh8ysx+xYq6AQQ5Pva7vT+9hTSB7dCDtNJAe6e67mNlO7n5U+ixOG7aRV3KjWYwEe5S7/zDdPNyD6SsjNdUoEVFOGb1GNlj5ioiXETmkbq5bSWIp87uDJO7+r3QeznUeK57bej3XU4vXsI8DfyMCFiX1B8BitdAvEqO4jGgnvrkk6NswAHQk8FZPKw+lc/8i2suBcnc1M/6mdp4471qoI50D31xSBi3k7EuaTN9uWofOdNA90+9qB8htK/75QLVzulTc7u63mxkWi3tcbWaPydy2rXb7MDnHZqPVnq3Bam3WzvTUjl+ln1Wpcb5ial+9gAjwXma9opQDuPsBFivp3kq0GT/o7j/I3LaNYxKm3sfzqfk+Un2a5jTekUjWfZyZ3UWk2jnO80f7bUyzVedaG2wzp4NHTN30zfRyhLnBjg+x4s3xBgWv0/iLSjQUDySWrLyROPHuOXCL7krEqiRHUrN3apZ6EAZdYNvYj9AsYn73NBMzux+VqROl0kijHwA/MLNtiTxBb01R7Pf48Nwel5jZvYi6X0o0fi8qrMbtwBVm1mQVpqZJtxcR9e8kvb6RuKCXBI9eQ+R7qLXUcnI4KyaU/xL5CeVr9yhZi8vRMtWoeQFwqLufYmYfGrZRZeTV6cAmneBy2rZkaWBo2AvSxrnG20k0fU93v6jr2C4dKn6Xu99hkcvqfz2tRpixXfc8+iY9Srdb5N74uZm9jVil8X65G6dtb00dED0XoMjQuIFE89FPbyRyFNybuAl4CHHT/x8FdRimjZwBw8poY3TF/YGrzexi6uX/gJoLYLR8vmvjGnZvd3/u8D/r6zPAtp5SGZjZI4hRNCUjBpsEgBotWV0gp83cRp44IALkqd1aonHOvvTaBwF3J6u2yFm3beXxbt5/ammjOlTamFv59HQK7zGzHxP7OLescyxGpXf240XuXhowvjG1Nb9JtFf/QuRlytFWu32YnGOzabB7U+qv1ta5n20a+Gk8Sp5YsOE04jr+nlRO8ZTdFCzKChj1Ys1Hdl+a2qsPA95b83007nhO39dPAZ+ySBHwAeCTxDSynO0vM7NOkv3OqnPPIDobB7KWpgBWN5j3P8RIgIXEyevLxDSl59Yo58L0e2nlucsLtl9EXEx/TjSM1iLmTuduvxLwtRb2x+XA0yuPty58H5el39sRPc8bAUta/syWDvi/RvsxlWFEYOE5REP7AGLucEkZO6Y6/B24njhZXVXjvd4nHaOXEA3NFxOB302B6wvL2gB4Uo067Nbrp7CMLxP5RC4nhnseDHyxYPtLuj/7zrFWUMYawILK45WIG/+SMlZ4zZJ6pP2wGHgvkUhvHyIYlfs5nEUES85M/z4rfc9eXPg+vk00Xn9BjCxYrfB9XA2sVnm8GnB16bHV5KeNcw2xBPnlXT8/IqZu3SezjO8RQYYl6fFLiSmmJfW4EHglsdLLw9JzV7a4r3bL+JvNiJFCDyHOoycBWxS+zrkt1HVNIqn8x4mRQL8s3P4NwDpEboDriFEzbynYfhnRYF9aPU7a+ixSeUtnugxiyt8qRFB3m/Rc6Tlzm14/hWU8AriAuBn6NTFq6JEZ21XPd2fR7HzXxjXsf6jRNqxsf27XYyv9vhDBlqHP9dn2c+mc/8z0OX4hfcc2IToCcuvQSpu5wX7cp/LzX8QIzdNaKHflGahr9vUo7c+VK493y9xuGbB15fGWwLLCer4snWuPIkbIXA+8tMH73oZoA6+a+feN2+2pnMbHJhHo2LHyeCfgjILtjyfSl7Rx/CwE1qq57ROApelzvYHoOHh8wfYLgA8Cn0uP16Nyb5hZxnIiIFr9+TWx+MHDM8s4hxiYsbTyXHbbKL2PTYB7pcf3ofA+iFiIZPX0eexHdDYOvYb1KGcDYvrzpUQn/rsKtr2EaK8eRnSEr1+w7X6Dfkrfx1wfeQTUT45Z0dZwyaYrm+xBDPX/ibvfZpEU8B25G3sMzV7XzFb1ZvkJmvZOzUYPwqDeg0b7ESJEb2bfdPenUD9i/lEiYeAPPRLIbkvcHJY6nxiO/CJ3v7Hy/CVm9sWcAszswVRWYTKzZ3jBChgeUz9WJabQQeRqKE3Q+HZiePo/SY09yqb1/Mti+ki0sqLXdmii0S5nEFMAOz0w9yC+57mjhgCus0jeXU0of33B9rV7lDxzOdpMTVZ9g3j/F1kk2IcYel+Uw8XMPtjreXfP7TFt41zzPWIU1rHp8StSubcAX2H6ku/97EmMSHusmf2GOB5eXViP3Wm2GuEwezPk8/Gp5P5/o36eux+Y2X+x4uqnWUn/rfmyvLh7J6fbOdQb/fRPj97mTp1Wpp2RQlVtTN8eVkbj0RXebJWZThm/ALawPgtgDNiutfOdt7OS4J7Au83sn8Totk4ew4FJU21qZcyrzOy7wHHE8bQLMUWzxEVpRPTXUxkvJ6a3bAJDp6k+Of3er+v5kiWroYU2c8PRBNXZBncQnWpFx4dFjsCXEDdz1Xuh7NE6uS+V+4ced3nVEatDz9nJHsCRFqkmAP5KjJQv8T5gM0+jjSxWCPshcEJJIZZWziOCBsuJAEbO1OnG7fakjfu5zmrPnYVZbiRy3Axk7a3W1lZ+sqaj5D9PdHo/ixipv5wImpSM8vssMfrsWOK78ArgAUSOsiOJQPYwjUZ2e6TtuAnY0KbnoMpWaYPcTs0pnhYLWq1CnP93cffrCosYuOrcoFGO3t4UwHitFJGa08zseKIX/FVUkmO6+96Z23dWhTkIOMvdT7bMFda6ymm0somZHUr6orr749JJ+HR3z/6ipkbFJkTPXLXhPnRImk3lzngNEfmvNk7+4pkrUpnZIuBBRKN9I2J0x9kpEJP7PvamZpb/NvZjKqfRamlmdom7b2oxvWzjdAK7yN2fWliOeYMvqpl9kvgMf0Jl/nXhheyZRCPml0yNytotNwBlLSQstZg3/X5iJajTiaS6r3P3swvKWOZdqzb1em5IGesQF4/qijkf8vxlhjvl1B1K3NbqEUe7+2uGPTekjE2I4bMO/Mjdl+Zum7Z/V+Xh6kQOh5/mBv5bOtf82LtWUOw8Z2ZXeFd+jSFldUa21ZoK0kKAdlDZQ69pqcH6PiqBZihLvGqxQlY398wV28xs3UENpMwy7g98AniQu29vZhsCT/PMqW9pWPpfiRuGtwNvJW5qSlZlrH0Na7OMHmWWroi4nKnA2apE4zdrlRlrKS+lxVSYDxJD9CGCgh/xgvxF1nAlQYspmU9z9+KgXzpP9eMFHZ1Y79WFq2XVXtlq0M1H1981bjNbJB3fFzjMa64M3ISZfZ/oIOhenbLXctpNXid7deEe25bu04XEfV3xtPjua1063i8rvP59FHgdMdqzaGXGFtvtrdzPpbKKgt3W7mptlwN7+vTpqV8ovBZf5u4bDXtuwPadFdKWVr6j2dunv7/Q3Tfveu4Cd98itywz+x6RauL4VJ+XAnu4e1Ze2ZbugbYiUtN0t42yO6fM7LHufvWA/886/w7Yvu+5Jn0f+vKy6duTMfKImskxK9qa13kbsarJJylcBSPZvPNFTeX9xcrm2UJEeH9LDNPr9M7kBh66L5rV3qmS4EUbPQhNeg/a2I9A49XS/pouPucSvRg3UxAtN7P/dfd3AKdajySKBSe+FxEJmktH6VR9hhj6e02q26OJ4GLWTbq3kLDU3X9gZkuI0VwG7O3uQ/NmdPm7mW3iqXfWzJ4C/KOwHn8hRhXWYs0TbkM7q0dMW5kmBfiygy7JncS50ql3zpx2zjGzA5hKwJ2jjXPNmma2ubtfmOrwVGLaFGR+X9PN7WtJvdiWeshKLsi9ArSpMVGahLyfnHP4McQN3RXU+DxhaoWsBhZYrH5XK/CTfIX4PnSCPT8jRkLllvHfxNS3K4hEvN+lYIXKpI0e8EZlWJ+RfZTlQpmWU9LMXkRMIcgxKC9lSZviy8R0zpelx68h9sOL+26xokU0WEnQo/PnAKZy7mVz97qj+HqVte2g/294A5I70qWNNnPt0QQWo2LezYqzDUoCZw9x9+cV/H1dTUbdZ31HrGsUVeX6UzKK6vvpM/16evxy4rxX4mXAI7zezIe22u2Nj826nQ/e7mptbeQnazpK/t+pXdgZ7b8u5d/zu8zsZUyNYHtp5f9yrwG9RnbvWlCHF9H8HujLxOiracHmEoMCR0nu+befQeeaVlfUnJTgUaPkmLQ0XNIaJpqmnS/qT9x9WtJaiyW5hxrWKKmUN6xx0sZQxybTURrvx/RabyHmCde1ExGYeCdxolubsiHRnRP+AQ3qANELtArlU7yqVukEjgDc/WcWq4SUqJWw1KZGxHX8Lv1ez8zW87LVpN4BHG9mnSSODyQaSUN1gnk2NTR5moJgXtOhxED91SPM7L3A/yOS0HamsBjwr1S3vArEqIg3EtMFDPiamR3u7gfnltHDPSmbZtTGueYNxJD/TsBoObCHxSii/TPL+C6R06V20IWGAdoMOcfHHzwlNa79ImY9h/e7+9CVZpKv0CzwA3Bfdz8uHet4JCLPavBZ9LhfnkZAZC+Q0Kuo9LvJlMqmZfy98u+7R/YV1mEad/+mRSLznL89LP3zh941Yif15OZ6hLtXFzb4sJktK9ge2llJ8HQzewlwknv5aGBrnvg1R5MbkNxjq4028x8tpp532mkvZeraPswxxDnhhUQ7bTegdLTieWb2RHe/onC7Uk2mp+Z+HqcwNYqqVjvP3fe1mF7ZGVF9uLufPGSzbldSf2XGNu5/oJ1j8ys0uwY1Wq0taTI9teP1xCj5k9Ljcymbjn4QkZvofmb2cSLw8/6C7SHufQ4k8qs50U56dQqo5S6edIO7P9vqj+xu4x7oFi9YFbOmpuld+l6Tuu/ZzWwNd/97v78fZlKCR02XBm7jBgTixNJkGdQ2vqjvZcUVj3o918SwxkkbPQhNeg8a70d3dzP7nBdMf+nhfkz1PhxV6X3IWqK9E3T05jknbiNWCDiD6fOvS0bPXJJGA1SXgi2NZH8n/ZQaNIy8JE8DHqu6PJZYMtSIBM+5U4PaCuat0QkcpTqdnS6KJWqvHuHu+wP7m9n+7v7ewtet2oP4rv8d7h4afD6RCD2LmV3B1AVvJWJ0RUmAtfG5xmNa6hMt8kWYu/+18t/HZfbkr+7uA1ezyNBGgHaQnJuY/czsCCI3WPVccVL/TVZQvW6uTqxQtoSMZYqT2oGfir+b2X2YuhHZgswVDtMIk8tSYDp3Cd1e2hid0aiMFkb2YVP5eiBGNG9Kef6ng4mptcOe6+cfZra1uy9OddqKwhGjNFxJMNmHGE11h5ndDnk5jyq+RJqqRWx4ucVI+TaDRzM+0oV22sxN8sTdx92/bGZ7p/bRORbT4EpsDbzOYprtPykfWQ4Mn1rqzVYXzg08tTWK6jymRhPXSdewP7DUzK6kPNdPG/c/0M6x2fQa1HS1NmghP5k3HCXv7seY2aXENdyIvKtFnQ8eeX365Y1cnFnM9RbTTL9BLBRTqo17oLPM7NNEIK5aRknn9TBN8wgNPfeb2dOIWMWaRAf8RsCb3f2tJS80EcEjn0qOeS49eq0zGv9tDZdsNMywyRfVzLYnRiE82KbPbVxI+ZLRQ19uyP+30YNQu/egjRNecoGZbeY1cx7RsPeh68Z6BQWNnFMpvGHo4T+Jxt5ecHeen8+XFOA1k27njojL0WNUxMZmljUqosVgXtOhxBDfjycD16Xvx30oT3D87U7vg5m9mriRO9DzkxMb04fv3knmjYuZPczdryd6jjvuAG7ygnwstNdbifefTpnTk3+0xfLu32Z6wyIrSXTSKEDb0k3M7sBjiV66u3NWMNVzOZS7v72rXmsz9Z5y1A78VOxDnPMeYbFk9bpMHy4/zAOJ5MYXMX2UZHaOBNrpAW8riWxH6cg+mN7wv4OYVrlTzoapobolsK5Nz3u0kMzliZO3AF+1qYTAfyFGm5R4B/H+9yIWs3hWaRneNYWvhkaJXzM1uQHJDTy1EbS/Dqg7mqDTbvidmb2ASNXwkJLXB7LypWSoPbW0xcBT41FUZvYGIq/YmcRxcLCZfcTdjywo5ihi6fHiEbgtttvbuJ9reg36g5nt6GkUr5ntBBSlWGij3Wsxyn+XTodYGmTxf+6+XUE9riZyCtetQ9MFrSA6e3cg7kG+bGbfJt5HbvCpjXugTt6mTSvPFXVeZ2g68ign2Py/TK1OjMdo5mcM3KKHiQgeZRjW+G90A2JT02p6DjMsqWiDL+pviWX8dmT6DcdyIvrepmGNkzZ6EBr1HjQ94SVNcx417X3o3FjvmX5Xbypvyy2kbtCmy1s8kpveneA0NXwOzC3AGuZ0MbM9gWO6LoSvdPcv5NaB5qMieiXO6xwXuTdl1aHEnUBcUeAnjY64Hnh0ujjXcSiwUep5eDfRG/FVYondHIuACy1WWzPihjJ3WPcJxHSsI939P4pqPV1bvZWD5FzQ/wV8mhjm3jk/OmU36r0CtCXHdhs5djbyggSpmW4DHlXw900DP7j7EovkpZ0RhqXnvA+XvF4fbfSANyrDGo7sS+2iy939cwV1rlqV6OFcmel5j26l4DN198uIc9XC9HjainE5owM7nUBp9NFehcGK6mutQxzP1Ruh3LxkTaZqZVexwba5I11qt5mtT/J0m8rTk5NE/WMpkPguYgTbQspX1L0hve79qHyWNTSZWtrWSs9tjKLal1jY5U8AKXhyHpGKI9cf3X1gYt5BWmq3t9Gh1OsalJX+I6m1WluVNVz0IbmvV0ZSp0Ba6WjLpo4mPtPtqCxoVVKAu/+DWKHsuHT+PZBYNCGrA2LYtSGzjNY6sQcYeP5tK9js7r/uOkUV53CaL8GjYSfypjcgbSWari01ri4zs2NrBAZKDdyfLfUgtDUarImmPVONeh8qjZutfPpqUO9JF7Ssm4CmQZtkN1YMFL2ux3ODNM3p8kZ3v3u0Uzom3kjBDXYLoyKgYeK8pkOJ4e5ewr2J3tZlRBLx8ynrBbnD3T0dlwd6TAPI7ol398+a2dlEwxVgd89fbW2Bme1HBL9WuJnIvIFos7dy4Mtk/M0+xMINpQncp14kkjlOC9AWaiPHzgVmtqG7/6RmHbDpOcEWEKtbHZe7fZPAj02fYlX1aIsRhlkjqFoYXQjtXMOaltFoZJ/HQgc7Ekmmi/nUlKKvuPsNKfjjdQM33UGjiqGjA62Fpa9bOO82maqVq+8NSIsjXZq0mZuO3oJY/fcWYjTItlCcQ4t0XH+GWK3zZqIz6Kd0LSSRocnU0jbO2dDOKKobieOiYznw68IyLjWz/YnAy0xN7RmmjQ6lq4hOtLuvQcS1LIu7/wLYwgpXa+vyFZrn/rvLKtOvzWx9ZumetKLpglYApDbBy4lj/WKmFk/I2bb2SpvW0oqhqaym5982gs2/NrMtAU9tib2okQdxvgSPBn5Zmt6A5EYkc3rHWrBBOnnXWo4209DeqRZ6EFqbjlJXCz1Tnd6HQ9LjG4lVYkqtYdPzPWzJ1Co2OWoHbczslcCrgIeZWXXY50IyczdVNM3pssDMzN07x8RKRM92E6WjIqBm4jxrL+E2xA3MZsAF7r6tRR6n0tESyy3m9L8aeEban6U5du4k3otT9v18BbECRveIhGIt9VYOktOYv4qC0YA9X6T5UrBt5NjZGtitYQ92NSfYHUSyyxuHbWRmz3L3M3sEgB5tsdrkn4HF7j4oYNsvtwIUTL+zBsvTV7RxDWtURgrYrAM8lDim7p+CaCU3c+ela9g3mD6Fr6SMdS2mGtQO3AyR8x09kmY5KaHhedebTdUCGt+AtDLSpUmb2d3bGNXXNIcWxNTFLYhk7hub2bbAK2vUpcnU0rZWem5jFNVviJHEpxDnm52I2RT7pNfIuUneOP3eolo92p3aM1BLHUrneyx5fvcKuBYr/WYdX9beqKGmuf/eByy2qXxgzwDeVFhGU00XtCK1R5YRnVD7enmi50XUX2lz0IqhpZqef9sINr+F6PR/MHFPejpTs1uyzZfg0dCdOws3INB8Gb4cTb4kwIwnAMw1G9NRBmraMzWs96EgmLgHsRrU2sSF+BZi6lOuJkGb84hh9fdl+gi75cDlBXWA5km3TyeGrX6R2A9vAb5fUoEmoyJsanpq3cR5bSXcBrjd3W83M8xsNXe/2sweU1jGy4nA4B7u/vvU6P107sbWYLW1dDx+0swuHxSIm6WA+zA5UznuJBIynkX9hIxNl4JtlB8nNULeTLMVJiGmT//DY2rlo4FNzOymjNFD2xD5NvoFgO5DvL/n9CvAM5dEH3ZcebPl6TvauIY1KsPMPkqMEP0F06dTltzMdfL2VUe6lpbRRuBmkJze9DaWvm503rV2llRvcgPS1kiXkeRCsfZyaAH8293/ZGYLzGyBu59lsehDqSZTS1vJada0rZr8Iv10nJJ+Z900pyD3qV5/imtr6h6bZvYA4qb6Hma2MVPfl4VEvrRcX6H5qKHGuf/c/fup3boF8V7e6Q1GR9fUWdDqA0wtaPXBwjI2GjDqNEftlTbd/bB0bN/awrHd9PzbRrD5b+6+a+E2KzAvX210zjGzQ2Yp4DGsHkvdfePhf9noNS5196eY2RWecleY2Y/c/ekFZVzm7hulxsmexJd+UYrEz5rUq9fpPTijRu9B09e/jGgQTOuZcvdWIvdmtqRkn1oM+TfvSuw77EbIzI4kLkDVoM3KuTdaqYw1mH5D+Fjgexk3hNUyViOOp85SsOcCn/dKXqgh2y8gbm47x8TpwBFDRiJ0l1HN55M9KiJte9aA/3Z3n7XeNYs8Q7sTDc1nEQlkV3H3589iHS4netM6q62tQfTYtXVDWPwdqfkaA4PlmWX0nO5XEvgyswvdffPhf9l3+0NJNzHu/rjUYDvd3bNz7HSuH3Xr0CkDeDqwDrEs7yXAba00WCL4fG7TgGKd48rMLnD3LYb/5bRtGl/DmpRhZtcAT8w9x/Yp4+FpxMzA54aU8WOfPvW653MN6ji0bWVmnyNuAKs5Kf9CBL+zRlI1Pe9arBh0C10BYu9aFW9IGZe7+5MsFkY5y91Pzm1bmtkiIsDwcGAjIuBydtPvfB1mdjxxg/8qKrlQ3H3vAdtsAzyT6Dj6YuW/lgPfcvefF7z+D4nRr/sTnWM3A5u5+5aDtutRzhJPU0s7n0GnDZ2xbeNzduf1aLGtmtpaa5besJvZWT47uWFmRLqOv45IinwxUzf7twJHeea0ZzO72N036zomlrn7kwvqsgkxmu4JwJWk3H/unt1pa2Y7A2d27hnM7F7AM939m7lljIM6geau7X9MtElOIDqofgP8j7uXBP4bH9tNz7/pe/l+YB13f2cKNq9f7RTJKONa4CbgR8Q92I+77ymzypmE4FEbjf/ZMEs3Qm18SWo3TiaJmV3i7pumC/PGKXBykbuX9kD3K7+VfTrsuOoTtPmCR46V3NdofENosazugcOeG7D9C4HvuvusTl9smzVIuG1Tq5RVn9sGWBv4fs5NopktdvetbfrUHCr1yJqaY5GMdzN3vz09Xh242FtMuDxLAfdWguVWMym9TY1oexnRmKi1FGyTm5hKGZ8HvuL1V5is1uPtRI/fp9r8HNu4jg6rj/Venn4bd39ak9edbWZ2IvCf7n5zgzJW2N+lQcY2AjdDyh/aQdh28L/0vJu2udLdn1DyOj3KqH0D0sbNR1s638FKe3MV4LScz8HM1vepqVp1Ax1rAP8gvt+7Ep/lMZ4SRheUcyExGuridN5blwgA5QTzGp+z0zaN26oWuWjeQgQ1LyX2x2fdvWQ08sfTdk2muI6cmb3E3U8c8P+7+eAO27OJEYY/SJ/vFsAn3X2bftv0KWdl6i/60DNgNVv3ctYnR1CHl+UKKg40d22/GTES717EdNWFwKfd/YKCOjQ+tpuef1sMNq9H3M9tRazS/teSwCZMzrS1tlYsmGm1hgcXegcNl6OlpXnYE+CvFlPOziVyF91Mu8vqthW5HXhcefNEvBCB5tvMbA/g4M4NYWEZu9Es6fYrgAPTDdEiL+uB7w6UTJMbMEllVYPVXyLmwZcEq5tMTzoBeIqZneFplTIvTO7r7lun303ncC9iarU1iF7ckmHZOWajd6PxVA4zeyb1k9J3jzqouxRsGzl2tgXeYma/pN4Kk+ml7WlEA2+P9FybbY02rqPDjqvay9OPmf2BpWZ2JdMDkkPzq1mMeHo8sHZXMG0h5XlVnpx+d08T2JKMY3xYB+GwwFH6m4G9xsNuCCt/txJwfyLZNcADgF8N2y5pvKQ6zaY6tbECYFua5ELZ38ymBTrMLDvQkT7DU9z92cT+aDKSscnU0rZye7bRVt3Q3W81s12B7wL/Tezb7OAR7UxxHblBgaNkWAqS2qu1WUuLPiS9knzP1n1/GzmCOmon3U7fr5e5+77A3yhc2biijWO76fm38SIcZvYQImj0dKLz4SpgcUkZMDnBo9bmcc+w3GVQa/Op5WgNeLu7/61GMa3Mw54AOxE9U+9kqmeqJDfBMG0doz1vhGz6Ms0rbjRLN4TWUtJtd3+1xdS9VwKLLJLoLgK+7kMSj3YCJWb2EaKRejSx/3el/CJXDVbfj/Jgda2E20krq5SlHpDL6/SCWxr95NNXWzPKVlvLfrmWy+uljWB57aT0w25qOzJubtvIsdPGqj17A+8FTnb3q8zs4cCgUR+l2ggoDgu4121gjpujgE8CV1B+TD+GWK3tXkwPpi0ncp1lyz3GB5iNDsKhOSktRtPtRwz77+xPJz93UxtLqje5ARmHVWw7muRCaRTo8FhF8DYzW9trTNnoKqtJgua2cnv2aqt+uLCMVdLorxcBh7j7v1MbK1sL3/O5Yli7pMlqba0s+pBcYmafJc4ZDrydsjyjtXk7ifE7agea03f9KWZTi+3U0dKx3fT820aw+VfElMxPuPtbCre926QEj8ZipEwbvWMt1OGJwFeBe6fHfwR2c/crC4oZp96pUbof8DuPaTlHmdk9iB7H0lXG+mkrmNjvQtZZprmTSb+a86h0Zah3UP+GsLWk26nBeCJwj1SnnYF9zewgz0jUDGzn0/PKHGox7PxTBdXo7O/nUxCstuYJt6GlVcrSsPbLrLKMa4Hu0U8zOSR9xgPutBMsb7qSYI6BN7cNb2I6Zdxgkcz4Ue6+KDVO1iws41yiB7zz+DpiJGxb2ggoDjyuzOxTwMeIG7LvEz1073D3r7Xw2rPpj+5+UJ0N3f0U4BQze5q7n9+kEhaLPexHrPYDcA7wkYIb99noIMwpb2/gMV44tamijeBskxuQka9i2+HuR6R/nkO03Us0DnQAtwNXmNkPmD4Npfhc5TUTNLdxzk4+6O7/TWUUlUXy7/8uKOMwYoTlZcC5Fsu6l04FbGOVsblg2LFWe7W2ljsu3k4EZ78Bd+cJLV5Zq4nUkXYocH93f4KZPQnY0d0/VlBMJ9D8fqYCzR8o2H4pcS07nunf9exAXEvHdtPzbxvB5o2JToxXmdl7gJ8D5xR/R919zv8QEd0PAp9Lj9cDnj6CelyWfm9HHOAbAUtmuQ7nAdtWHj8TOK+wjCXp99Lu9zaffoi8PqtWHq9KzGvP3X5vYnSNEdN5lhCjE9qu5yFD/v/HOc/Nwv7sLE8MkRtmR+KmO3f7HYkT5+XAvsD90vP3JBJf55RxHhE8W4mpXAel349Oj/fP02uvBVyasd1ZA37OLKzD9kP+f7eMMs4kAnhnpPPVqcRqKcO2W0rcCP6aGJ497afwfczKd2RIHQ4lAuY/TY/XKfmep22OTPV/Zvr5EnGT22Y9l87CvtgP+Bbws/T4QaXnivTdPjx9R87s/LRYx4HnuzaOK2BZ+r0zcTN2b+bgNZDo9NkfeBpx47IJsElhGZ9K+3KVdK74I/DqwjJOJEZCPDz97AecVLD9ImKaQtE5t7COQ9tq6Vy9csPX2Qh4W/rZqMb2FxLXr047bd3ccwNxvTuVWKL548SIiF1GdGzeP303v5ceb0is/Jmz7V5EPs/vpu/4+sCPCl9/tx4/rx3FvmhhX65w7BIji5uUadVjnbw2xfeI3H2de6GVgStGvX9mYH8v7fP8A4jRxj8lbtI759xnAlcXvkbt78c4/RDB4acy/X7yyoLtFxDTzprUYVGPnyMLy2h8bLdx/iUWK9ozXT8eV3N/rAk8L9XhBuCXpWVMysijcRkpMw7T59Zw97tHhLj72RaJAUuMTe/UiK3slUSY7v6vwiGGrQy1b2FE2xpmtrW7L07lbUkEckrqUF3ivuMWIsB2mKekyUOcCzw99SCckbZ9OXFCzfESIkA8LY+Mx2iRrFUXiOlzB6YfJ0YgvCpz2449iBwe16XXvg8Z86i9xSHdPnza28BRKkndYcWtjH5KxiFfXRtTOf6TuKDvBVNJ6dut5qzkf9qZOL8sAXD336aRvCWOJ1ZCOoLynF5tjeBtelx1Ro09n5gW++fZv5S3opMYtbpKnFOWp+G57v5ui5V7biRyd5wFlIzCeoS7v6Ty+MNmtqxg+9mYSt/3A65MEb4OONvMvsP0UaO504X3Jqb8dXq8v2Zmh3veqNmO2r3P3t5IlzZ8hZrLmXuMpquOqLvBYoWxEvfyHgt4FJYxUmb2n8Bbidw61VHca9Fw1K7HXWY1b1JOm+K+7n6cmb03lXGHmRVfA+aAfvt2OyKP50OIUfadc8qtwP8rfI2vUPP70ZHu3d7NiquUzWYOqnu6+0Vd18/sfFweo+TfBhzXoA5HuPu0z8xi4ZoSjY/tNs6/XnOUY4eZXQKsRnSkLwae4WnxgRKTEjwal3nc4zB97joz+wBTU5RezVRix1xtzcOe6/5gZju6+6kAZrYT0euaq61gYtMboT2AI9PUASeCPrnBlo7r0mt/PT1+OZH34dHEKIvXZJRRO+l2CmY+uDtw1OHuZ+SU4+6/pGHi23Qxu57IO1SaOLaNhNtZLzPsD9z9nDQUtxNkv8gzVmXymJ71SYtVcvoGsSwvAe04BNwbB8u9naT0w8zGfvmXu3tnCkiNjgeAO9z90AZ1aCOg2PS4+paZXU1MW3trOiZyAuRjZVjAOvM72kYg7R9dHRhbEfs212x0EA662e4EUH+VflZNP6X2INqrf4e7pxadTyzJnaXpDUjTm48W1b4Z6zeFhLIFG3aj2QIe4+BYYkTE/sB7Ks8vd/c/t/xaOV/6v6fOtM71YwuivTmn1O3ASOfSo6zham1JG4G4Y4iA0wuJlfR2A/5QWEZTfzSzRzB1TLyUSGNR4gdm9l+suNJZ7jF+MCtOGez13CCtHNtjcP7d3t37HgOZx+bETFurPYy35XqMfPocMeXiIKLneClxIVynRjmNh8bN9R/gEcSy9J0G43lED2ru9q0MtScNP06f687p30trlLMQWLvH87tlbHtuv+eAqzJffynRwLsAeHx6LnvYJzHcc4X6F+6DRxOjnq5Mj58EvL+wjDcQCWj/QvTA/4OCaTnMwvTWnPKIIbg3EL2JXyWCzC+d5TrM+HSUjDq0MZR4K+AHRO/gdZ2flus5dLpWC6/xX0Tui+uIERLnEwsvlJTxIaI3/IHEdK97A/cu2L7x+a6N44q4lq6U/n1P4AGzeVzOxk/md/R/iMbuUiKQtC5wYeHrbETkUvll+lkKPKm0njSYSk+LU2RTOWvV2O4KYPXK49WZwGk9mfvibOA+lc92CyL3Rs62taeQEAtufIu4fp9a+TkL+OGo90uN/biAgmlADV4n51yxCRGEvSX9/lnJ93xcfpjhNlrmvqz9/aiUcWn6fXnluaIyWnivDwd+SORZ/Q0x2mX9wjKu7/EztH1F3G+8ixVTLHyoxvWj17G90Wzuy1n6vLKO80kZeTQuI2VGPn3O3f8C7JVGmdzlQ1ahGlDOqKOjI+fuvwC2sFgC1br3ZUaEtq2h9q2MaHP3fskPc4Yjr2uV5Mrpvdw3/d+/+m82zTtotgpTGwkuv0TkSzosbXu5xbKfJcn79ia+0xe4+7YWS1qXTAGrlXC7UE557wM28zTaKI2u+CGREHu26jDylR29nakcXybO+ZdSY6oWjMeCC+5+gJk9hxhm/2giEesPCovZLf3et1o0+Ulx2zjf1TquzOxZ7n6mVZZL7vpqlqx0MxfkjFB8Txohc6vHyjV/p3D0prtfBmxksVrmCteijGtpG1PpG49oM7NN0zad1TtvSeXmrmC0CLjQzE5Oj19E2WiZSdJrOfOXZm7bZFRGawt4jANvtvhFiZxzxRIz24bKKmPu/u8hm42jmR4RnVNWr+/HLoWv09n3vzOzFwC/JabUzaYb3P3ZaRTzgpr3pI/zrtQYmaP+VyXy+3SnWLiV/HNNR5MV9OaSrON8IoJHLTX+2zDy6XNmthmRvLVu40a6uPvf+vzXsKBLW8HEmb7BzjlZvAtYbGa/SH//MGI6xxoMDzwBMU2KSJ7XeVy6CtN30k8TjeZfJ7e7++1mhpmt5u5Xm9ljCra/1MxOJ/bhe2doemtOvoMFPn2a2p9o92LoGX8z8oA7tBIsv8WH56EaZhzyP0GMjrgH8fldUbqxuz+s4eu3cb6re1xtQyT47rVcsjN5waOc7yjA44ANzKzaZvxq8YvV78Boo4OwjRvCI4G3uvuPACxWJlxEjGAdyt0/a2bnECMVDdjd3ZcW1mHOS4HAbei6GSsINNSeQuKR3+MGYlTCpHggcJWZXcT0jrUdW3yNoW2KdEP/VmI1Jwd+ZGZf7L7xnwNmOgVJznm3jWDFx9JAgncR07QWEtfD2XS9mX2fmHJ2Zs0yzmPFKWa9npumc89hZl/xGnl9utReQW+OyWoTTETwCMZmpMw4JJr+Mg0aN1JkWMOzrWDiTN9gDz1ZuPt3zexRxHRGI1aO6DQI/jfnRaxh0u0hPdO52ph/faOZ3Qv4JjEX+y9Ej06uWgm3q1oapfL91ECq5rH6bkk9hlUz429GHnBvwsw6DYezzOzTRHChmkh3SUlx6ffI8j+Z2RuIqddnpvocbGYfcfcjM7ZdYdROlecvi9vG+a7WceXu+6XfRd/HOWzo8WVmRxNTuJcxNarOqRE8qluPljoI27ghXN5pW6V6LTaz0p70ZcQ1Z2WIUbwzPGJk7KQRbDu5++eo3IwVaDJqCbg74HQwERhdlUh98Xd3X1ijPqNWd/GLu7XUpvhq2r6Tw+uVRP7V0hEzozYOHbaNgxXu/u30z1uA0oTybXkM0RmzJ/BlM/s28H+e8t8NYmYPAB4M3MPMNmZqvy0kppLnWs3MDgc2oBL38IzE4S3WYa6YPyOPxsg4TJ9ro3EjeYYFXdoKJs70DXbODcRru556kpnh7iU3ELWSbpvZFQzY1+5eEhjdk1hG/LFm9hti7nTWam9m9jB3v97dd05PfcjMzgLWBr6fWwFvmHA7aTxKxd33NbOXMNULfri7nzxksxI5o5/GIeDexGe6Hm9a+bdTtqrVOCy4sC+wsbv/CSAFNs8jRlwM09aonTbOd42OK+uTkNfdJ22KUc53dFNgQ3fPHaVUR04HRtMOwjZuCC8ys8OIa5gT17CzO0HkYcFiM3s7sB9x3buTOO8687Nz78dmdggrJsEdtg+bjlrqOIRYOfR44hh/LfDIwjLGgtdc/KJLGyNfH+PuG1Uen2VmlxXWYxzMdIdt3/Num8EKi9QQBxKj7O4ichi+M436nxXu/g9ipbTjLFZaPpCYgbBSxuZtrV7XZAXYah2qC6LUWUFvLshbpdHHIEHTJP0wokTTRDR6E+BzRD6XZxIX1y8AHx/1fpnEH4YkcaWFRLypnBlNCE9GIl6iJ6nz8yUiEHRC4evUSroNrJ9+PpV+nph+/ofIyVLnPa9Bj4SnDEgezlTywTMa7u9GCbdTGa0kUW/4PvamYQLatr4j4/4z6Liq/M04LLhwBrBq5fGqtJxEdti+aON81/S4okFC3nH6aek7ejzwwBmuZ9HnW/M1DiVuCn+aHq8DXFxYxlkDfoaew4FrgfuM+rgYh5+6+zBte3YLr39J+l1NJnzeqPdLzffSePGLNtoUxPLyW1Qebw58YdT7p8b+bJSgv8l5l8gZeBYRsDqz8t04BXhx4fu4gOiUXTn9vJrCxQ5a2p+de9HriUDSSwq3H/j3GW2KxouwlNZ5XH/aaBO4O5YKkzkujYDoxz1jeJ6UMbNDfMhQXotkyp2h9md4jVxcZrYr0cO5CdE4eCmxQtjxmdsPHI5cR5pHfbQXzKk3s58C2/n0pNvfd/cNzWypu288ZPsfu/tWw55rwsyWeAwV7vV/S4mpam8ggrTTuHvWMu1pJFUn4faT0zHyYXd/eUE9FwEPIkapbETcbJ/t7k/J2HY50dvd6fW++7/ibeQN2zezy9x9o9RTuSfwAWK6VdEc8Da+I+Nu0HFV+ZtDSb2d7v641Et3urvPWv4nM/sqEZg9hTg2dgIuIlYWyT7Gh7zGwH3R9HxXKaf2cWVmF7v7ZtXzkpktc/cnl9Rh1Nr4jqa2xZOJ46A6JbO1fCo519IWXmOJpxFtlc/0Mp8+UqLpa+zmA6ZXp335HHcvzbM37wzal2lk/9oUjlrqKuNc4NlEm+j3xFTC17V5PMyWNLrnOd61+EXJe2nSpqiU8VNiNFhnGuZ6wE+J65p72SjxkTGzC4EtieDyJml/nj6sjVrZvo3z7kvc/cQB/z/wXNN5H+6+eddzF7j7Frn1aCqNsl9GBI1Odfe/D96i1msMa1N8CLiZmBlUvYb9ueA1HkB0RM3p0chttds1bW1CuHvWfNacE46ENuaAewu5uLx5voeZSMR7G/Cowm2aJt1ew8y29jRX2sy2JEYQtWnQFL5XEKvjdK/cUKppwm1oNgVjI29n2HIrOXra+I7MAXMl/9Mv0k/HKel3k+O922zkt2l6XNVOyDtm2viOfqhxJcZgJUFmZ4rs3vS4lpnZPumf1xHT3L7D9JuYxkHZCdRzXyZbpt8fqTznlE0Tfg0x2vNtxNSkhwIvKazjuGhj8Ys2pnU+r/Dvx1XTFCSNz7uDAkdJ3++Hmd07/fMsM3sP8H9MTbNtuuhMqY28/0IJbRm2b3dLv+uuAAtx/VpErFIM0aH2DebeapmttNsVPJp/Bl2QZbpxWf2o6Y1Q45OFTU92vQDYkOhJyObNk27vARyZRj05cTP3+pI65FSz73+4XwN80swu9wEra2UEaJsm3IZmc/KPB55iZme4+38Uvm7VOOTomStyhviOQ/6nE939yhl+jaH7YgwCio0T8o6Jxt9RjxVrmhqHa+ls5KTsd13tBF9/lX5WTT/SX982yrDO0pxOUne/wczuQUzJbJxwesTaWPyijTw/Pc/tPscSwrfQgTEbbaNBbfhLmRpdDvDmyv858NGW6zLIv8xsT+DxwN05Pt29zbb7wDaFN18BFuC+7n6cmb03lXmHmZXmTxoHrRybCh7NP7O6es8cN/LVj1rSxsnigMq/7wBucPcbSwqwhkm33f1SYCMzWwiYu08bCdDSqLqhn++gwFHSr/e5lYTbSZNRKgvMbD8iYfc+3f9Z0As+0yuSTJKc88Y4LLjwxXQcfQU41t3/OgOvMfbnUHdfYmbb0Cwh7zio/R01s8XuvrVNTXO9+78omN5a2QZGeC1ta0TbsJfp89rTghPpGubursVM+muSU2NoJ6mZ7UC0a1YFHmZmTwY+4u0ubz8rPBa/eDGwNfUXv2hj5Ot3mAparE6MLr+GCBzMKQ07MGajbTSoo7ONYElbjib243bESMFdiamMbcpZ9OcJRKd3NYBVsuDPpIxGbuXYVPBo/lGSq3yTMrKi0ckijYb4gLs/u2E9qj1YqxON+CUULvk8YAhsG6Pq8lYaGKzfhewEukb8NOjVbzJKpa3pdzO9IskkGXpczdLN7bA6bG1mjyZGhlxiZhcBX/EG+dF6aOM7NiPSDVgvj06B7twV48ZF7e+ou2+dfrcxZXEsrqWzMKJt4E2MmW1KjLhaKz2+hRiVdekM1mmuahJczNn2Q8BTgbMB3H2ZmW3Q4DVH7TxiJam7gItrbN945Ku7P7H62GIVwjf3+fNJNhtto5yAySrAfwLPSE+dDRw2yx0hj3T3XcxsJ3c/ysyOBU5r+TUGtilSZ+kzieDRd4HtgcWU3Xu8i8kYjdzKsang0fwz9r2+Y2RSRlY0Olm4+51mdpuZrd092qeEu7+9+jhNPzu6bnk95FxMZyP3Rr8AbVsjfqDBKJUWp9+NQ46esdDWcTUG07Vw95+Z2fuBS4jjbOM0SuT/5QRPZuk7NlN2GPB/Dsy14FHt72glb0ZPXpBslMm5lg4zLDB6JPBWd/8RgJltTXxX5kQi4VnWJMic00l6h7vfMjcHk09nZm8gVuo8k2gHHWxmH3H3IwuKaX3kaxrBOR87k2ajbZTz/TgUWIVY6Qwiz9ehxKIvs6UTqPprGv3ze2CDkgJaaFO8lEgCv9Tddzez+6dysrn7pRMyGrmVY1PBo/lnbHt9x9CkjKxo42RxO3CFmf2A6aub7NWgXnWSbg+S02Ccjdwb/VqjbY34aWWUSt3pdxXjkKNnXIxDTpfGzOxJRN1fAPwA2CHdADwIOJ+84Mmc3RfuvnvO37U0RXY2NPmOdufNqCpNNjoR19IWbmKWdwJH6e8Xp2mB884MB5lzIkJXmtmrgJUscjHuRYzemYv2BTZ29z8BpOk15xHByixttCm6OsUWAE8B/lBSxoRo3DZq6fuxmU9fce9Mi5X5ZtPhFivHvp8YubMmscJXiaZtin+4+11mdkeaMnwzZdevzoqG3wC+4e6/GPb3Y6yVdruCRxNmjvf6jptJGVnRxsniOzRcpcFaSLo97CUK/mYmc2/0DNC2OOKnU95Ip2AwHjl6xsXIc7q05BDiuvH/3P0fnSfd/bdpNFKOSdkXg8yVhSeajFBsM2/GpFxLm97EXGRmhxGJjTurH52dpvcULTU/AWYyyJzTSfp2YuWkfxKfx2nMbiLhNt1ItPk7lgO/Li2khTZFtVPsDuDbwLBVwyZRG22jNr4fd5rZIzrBDjN7ODG1cVaY2QLgVnf/C3AuhQGbalHpd902xSUWi9R8iegU+RtwUWEddiTO18eZ2V1EIOk4n2PJ4Gmp3W7uSoEzSczsMnffKJ1w9iQivIvcfZMRV23OMbMLiSVhL04N33WB09194xFXrYiZ7Uqc9DYhbnheCrzf3Y+f5XpsU3lYK+n2kPIPGRYcNbNFwIOIi9hGwErA2e7+lILXGRigbcrMlozD9zWnHmb2WKZ6Ks+Y7Rw946KN42pSzId9YWZL58p1oI3vaOo5fhTTk42eW7D9pFxLL3f3J5nZQcBZ7n5yybFgsUBCP+7uJUvNz2lN9mXb1+DUubaGz/yS4jPCzL4KPBE4hQhK7kTcHP8MiqfEt1WnBcCac3WfNtX0vNv0XJPK+A/ie3Jdqsf6RFDqzJK6NGFm57r7M4b/5cAyWmtTWOQ1W+julzeoz6OIe+td3X2luuWMShttAo08mjzzodd3tkzEyIomw5HN7AoGr+qQlavBWki63dKoujZyb8z0tJxx+b7mrDw38hw9Y2IicrqY2VZEItn1ifZBZ2Wtkh7DidgXQ8yZXrem31GLfCp7Aw8BlgFbEFMYSwIdE3EtpWHib29hifkJ0mRfNr4GWyTufQsxEuNSYG0z+6y7f7rkTYyJX6SfjlPS7zaS3WebsH3aSAttozYWGVhMBP07eXpG0Vb7gZn9FzFSp5ryYlZz5tnUaoRO7Jfi4FEKPL2M6Iy/E3h3aRnjoI12u0YeTZj50Os7m+b7yAozWz/9c8/0u5PgelfgNnf/SEFZpwKv8ZpJt9sYVWdmh5Jyb7j741KP+ununp17o40eoSHlj8vIo6EjuSS0cVyNAzO7mshJcymV4e2ecmlkljER+2KQuTTyqKnUgbAZcIG7PzldEz/s7i8vLGfOX0vTaIr3A+u4+zvTTcz6Xslj1LD8sTj3z4Ym+7KlURnL0vG8K5Gb57+BS3M7xMbVKEf8TOo+HYU2zjW9ziezfY4xs+t7PF3UIdW0TWFmXwAeSUxPhQj+/MLd9+y/1QplXEgkHz+OmK52Xe62k0gjjybPfOj1nTXzfWSFu98AMSLB3beq/Nd7LJarzA4e0Tzpdhuj6trIvTHTy07PysijlkZySZiUnC63+PBE6sNMyr4YZD4tPHG7u99uZpjZau5+tZk9prSQCbmWznTi73EZdTobmuzLNq7Bq1gsZf4i4BB3/7eZzcne9DEa8TMx+3QM1P5+mNkDgAcD9zCzjZk6rywE7jkjte3vce5+e1f9Vu/3x300bVNsAzzB02gZMzsKuKKwDrula1hP82zUKAtGXQFp3eeB+wPPS487JxyRJtawWFYYADPbElijsIzvEKOFziUaOJ2fXJ0G4/bAaTUbjG0kD9+DuHn8trvfBqxDuwHa2boxfX3qnXwuU0P//2eWXnvSzOmV58xsE4ukvWeZ2afN7Gmd59LzJeb0voAIrJrZQgtfNrMlZvbczv/Ps8DqjRbJRr9JTEE4BfjtSGs0Opun3urbIW5igDYDo/PpRrvJvmzjGnwY8EuiHXNuGmU9V/PzbJiu5S8CvgusRyzLPtsmaZ+OWpPvx3bAAcRU489Uft4J/L/2qzpQrxUMS1c1bNqmuIb4TnQ8lMJpa4MCR8neJeXNdRp5NHnmQ6+vzL49gCPNbG3iBH4L8PqSAlqIyrcxqq6N3BuNep/HaMSP8qO1Z67ndPlM1+NNK/925l9+m5nOazZnuPvO6Z8fskj4vDbw/RFWaZRmOjA6n86/TfZl4xFg7n4Qca4ivf6vgG0rj+fSSIKxGPEzYft01Gp/P9I+PsrMXuLufVe7m8nPo+XRT7XaFDa1wvPawE/N7KL0eHPKA1hDX67l8saagkeTZ873+sr4cfdLgY3MbCGRK21a3qJBFyFrKek27TQYaycPr2gaoB2XG9OZnn43b7R0XI2MD0nk25HT2Jzr+yJRYDUxsy2Aq9x9ubufk84TGwMXjrhqozDTgdH5NB2yyb5svZM0TWm5o/LU3sTqtHNBZ8TPZYzRiJ85vk9HrfG5ZlDgKJnJz2M74HVMjX7qXD9vpXD0U4M2xQElr9PQfBo1qoTZk8bGZFl2mV9sQBI+aynpduc1rJIY01IS7SZ1L2UNl522GU64nctmOPmrTJ5B3/NJYlp44m7pBn2TSr6IBcAl8+E46MUaJP4eNup0vqm7L5tegzNfY9avyW1Jge6V3P2O9HgsRvzM5X06Ck3ONZnlz/jnMcrRT6n8lYDTvMFKz5mvM6+ObY08mjAT0usrc0/fXnlvL+n2uIyqa9ojNC4jfmY6+atMnvky+kYLT0yxTuAIwN3vMrN523ZsmPh7XEadjoUG+3I2psbO2Z71MR7xM2f36Sg0PNdkvcQMlh0vMNrRT7j7nWZ2m5mt3T1jomXzadSogkeTaBZOOCLdci5Ca5jZ1u6+GGol3R6LXCotBGjH5cZU+dGk1Hxp/CuwOuU6M9sLODQ9fiswr5cpbkDTIVswS52kk/S5jMt7GZd6SBiHz2M26tB0pedxylU6FhQ8EpE25FwAGiXdHqdRdQ0DtONyYzouI7lk7hiHxuZsUGB1yluIwP37iXPFGcCbRlqjuWtcRp3OebPQSTpJIwnGJeg/Sft0EozD5zEbx+Z30k8TGjVaoeCRiLRh6EWoSdLtShmTMKpuXG5Mx2Ikl8wp49DYnA0KrCbufjPwilHXY0KMy6jTeW+ejSSYlaD/PNunY2+OfB4zfmy2lFNJo0YrFoy6AiIy/sxsbzNbaOHLZrbEzJ7b+f+Si5C739pn7vHerVR2/I3Fjam7HwO8G9gf+B0xkkuJ9eexNr/nc1x3YHUx8InRVml2mdm70++Dzeyg7p9R12+O+jxwf+B56XFn1KnMvte7+63Ac5kaSfA/o63SjJmtoP982qdzwVz4PGb82DSz683suu6fwmI6o0a3B06b76NGNfJIRHLMxpDN+RLFH5sRPxMykkvao6HZjNcU2RHqvN9LRlqLyTIuo05lgkYSjNEIk4nZpxNi5J/HmBybm1b+vTqwC3DvwjI0arRCwSMRyTEbF6FxmZc/o3RjKmNs5I3NcTHfA6vu/q30++4h/2a2AFgz9WZLubEYdSrAZOWfGpeg/yTt00kwDp/HyI9Nd/9T11P/a2aLgQ8WFDMuuUrHgoJHIpJjNi5C8+Ymdb7fmMrYGofGpowRMzuWSJp9J3ApsLaZfdbdPz3ams1JYzPqVCZqJMG4BP0naZ9OgnH4PEZ+bJrZJpWHC4iRSGsVFqNRoxXKeSQiOfYg5iZ/291vA9ah/YvQfEnGKzKuZuN7LnPLhmmk0YuA7wLrAa8ZaY3mKOWZGyuTlH9qXPKxTNI+nQTj8HmMw7H5mcrP/sAmwMsKy9Co0QoFj0QkR+OLkJLxioy9cWhsynhZxcxWIYJHp7j7v5knU4xngrtf7e6fd/dDNF15pDZ39z2B2yFGEgBzdSTBuAT9J2mfToJx+DxGfmy6+7aVn+e4+5vc/ZrO/5vZbhnFzPtFNKoUPBKRHG1chObCyg8i89k4NDZlvBwG/BJYAzjXzNYHlPNI5rpJGkkwLkH/Sdqnk2AcPo9xOTYHGbrSs0aNTqecRyKSo42L0MjnPovIQOPQ2JQx4u4HEb2uHTeY2bajqo9ISyYp/9S45GOZpH06Ccbh8xiXY3OQrPsQ5SqdouCRiORo4yKkZLwi420cGpsyRsys34o0H5nVioi0aMJWPR2LoP+E7dM5b0w+j7E4NofQNOxC5q59JiLDmdljmboInVF6EUrLPL8fWMfd35lWfljf3X/Ufm1FpI6m33OZLGb2rsrD1YEXAj9199ePqEoiUmFmuwIvJxIBH0UK+s/naTUyHubCsWlmS91941HXYy5R8EhEZoWZHUr0ODzL3R9nZusAp7v7ZiOumoiIZDCz1YBT3X27UddFRIKC/jKuxv3YNLNDtGBPGQWPRGRWmNmSztznTpTfzC5z941GXTcRERkuBf0vcvdHjbouIiIig5jZ3sAiIln3EcDGwHvc/fSRVmwO02prIjJb5sLcZxERSczsCjO7PP1cBVwDHDjqeomIiGTQSs8tU8JsEZktSsYrIjK3vLDy7zuAm9z9jlFVRkREpIBWem6Zpq2JyKwZ97nPIiIyXZqq9lAqHY7uvmR0NRIRERnOzBYBDyJWet4IWAk4292fMtKKzWEKHomIiIjICszso8DrgF8wtaSxu/uzRlYpERGRDFrpuX0KHomIiIjICszsGuCJ7v6vUddFRESkhFZ6bp8SZouIiIhIL1cC9xp1JURERGrY3N33BG4HcPe/AKuOtkpzmxJmi4iIiEgv+wNLzexK4J+dJ919x9FVSUREJItWem6ZgkciIiIi0stRwCeBK1CDW0RE5hat9Nwy5TwSERERkRWY2Tnuvs2o6yEiIlKHVnpul4JHIiIiIrICM/ssMV3tVKZPW1syskqJiIjISCh4JCIiIiIrMLOzejzt7v6sWa+MiIiIjJSCRyIiIiJSzMx2c/ejRl0PERERmXkKHomIiIhIMTNb4u6bjLoeIiIiMvMWjLoCIiIiIjIn2agrICIiIrNDwSMRERERqUPD10VEROYJBY9EREREpA6NPBIREZknFDwSERERkTp+POoKiIiIyOxQ8EhEREREVmBme5vZQgtfNrMlZvbczv+7+9tGWT8RERGZPQoeiYiIiEgvr3f3W4HnAusCuwP/M9oqiYiIyCgoeCQiIiIivXRyGr0AWOTul6E8RyIiIvOSgkciIiIi0sulZnYasD1wmpmtBdw14jqJiIjICCh4JCIiIiK97EEkxf62u98GrAO8Y6Q1EhERkZFQ8EhEREREevk8cH/geenxcuCzo6uOiIiIjMrKo66AiIiIiIylzd19EzNbCuDufzGzVUddKREREZl9GnkkIiIiIr3828xWAhzAzNZFOY9ERETmJQWPRERERKSXg4CTgfuZ2ceBxcAnRlslERERGQVz91HXQURERETGkJk9FvgPwIAz3P2nI66SiIiIjICCRyIiIiIiIiIi0pemrYmIiIiIiIiISF8KHomIiIiIiIiISF8KHomIiMicYmb3MbNl6ef3Zvab9O+/mdkXZuD1PmRm/1W4zfZmdomZ/dTMrjazA9quVykz29HM3jPqeoiIiMjcs/KoKyAiIiJSwt3/BDwZIrAD/M3dRx6c6TCzJwCHAC9w96vNbGXgTbP4+iu5+53dz7v7qcCps1UPERERmRwaeSQiIiITwcyeaWbfTv/+kJkdbWZnmtnPzeyN6Xkzs0+b2ZVmdoWZvbxPWe8zs2vM7IfAYyrPP8LMvm9ml5rZj9JqZN3eDXzc3a8GcPc73P0Lafv1zewMM7s8/V4vPf8VMzvUzM4ys+vMbBszOzKNXPpK5fWfa2bnm9kSMzvezNZMz//SzD5oZouBXczseelvLjOzM9LfvM7MDhlUDxEREZFeFDwSERGRSfUk4AXA04APmtmDgBcTo5Y2Ap4NfNrMHljdyMyeArwC2Dj9/WaV/z4ceLu7PwX4L6DXNLknAJf2qdMhwFfd/UnAMcBBlf9bB3gW8E7gW8DngMcDTzSzJ5vZfYH3A892902AS4B9Ktvf7u5bA2cAXwJe4u4bAbsU1kNERERkGk1bExERkUl1irv/A/iHmZ0FPBXYGvh6mtZ1k5mdQwSHqtO5ng6c7O63AZjZqen3msCWwPFm1vnb1Qrr9DQiIAVwNPCpyv99y93dzK4AbnL3K9LrXgVsADwE2BD4cXr9VYHzK9t/I/3eAjjX3a8HcPc/F9ZDREREZBoFj0RERGRSeY/H1usPM7aFGLH9V3d/8pBtrwKeAlxW+Dr/TL/vqvy783hl4E7gB+7+yj5l/T39NnrXP7ceIiIiItNo2pqIiIhMqp3MbHUzuw/wTOBi4Fzg5Wa2kpmtCzwDuKhru3OBnc3sHma2FrADgLvfClxvZrvA3fmTNurxup8G/p+ZPTr93QIz60wvO4+YEgewK7C44P1cAGxlZo9M5d6z8xpdzge2MbOHpb+7d4+/aVIPERERmWc08khEREQm1UXAd4D1gI+6+2/N7GRiytZlxGibd7v776sbufsSM/sGsAy4AfhR5b93BQ41s/cDqwD/R9cII3e/3MzeAXzdzO6ZXuc76b/3Ao40s32BPwC7574Zd/+Dmb0ulduZLvd+4Gc9/u5NwElmtgC4GXhOV3G16yEiIiLzj7lrlLKIiIhMFjP7EPA3dz9g1HURERERmes0bU1ERERERERERPrSyCMREREREREREelLI49ERERERERERKQvBY9ERERERERERKQvBY9ERERERERERKQvBY9ERERERERERKQvBY9ERERERERERKQvBY9ERERERERERKSv/w+BxsWeAo2h3AAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1440x1440 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams['figure.figsize'] = (20, 20)\n",
    "plt.xticks(rotation=90)\n",
    "plt.xticks(fontsize=10)\n",
    "sns.barplot(data=datosplot6, x='Tipo de Comercio', y='Importe Total', hue='Código Postal')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "id": "155c00e3-c3fc-45af-bfcf-935e5eb7d28d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Y por día de la semana\n",
    "datosplot7 = pd.pivot_table(data = df, columns = ['Tipo de Comercio', 'diaSemana'], values = 'Importe Total', aggfunc=sum).transpose().reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "id": "bc2e8e25-4ea0-46ef-b4af-af7f0e77168e",
   "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>Tipo de Comercio</th>\n",
       "      <th>diaSemana</th>\n",
       "      <th>Importe Total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>es_airline</td>\n",
       "      <td>0</td>\n",
       "      <td>151.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>es_airline</td>\n",
       "      <td>1</td>\n",
       "      <td>49.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>es_airline</td>\n",
       "      <td>2</td>\n",
       "      <td>16.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>es_airline</td>\n",
       "      <td>3</td>\n",
       "      <td>10.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>es_airline</td>\n",
       "      <td>4</td>\n",
       "      <td>20.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>436</th>\n",
       "      <td>es_wellness</td>\n",
       "      <td>2</td>\n",
       "      <td>11162.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>437</th>\n",
       "      <td>es_wellness</td>\n",
       "      <td>3</td>\n",
       "      <td>7233.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>438</th>\n",
       "      <td>es_wellness</td>\n",
       "      <td>4</td>\n",
       "      <td>9754.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>439</th>\n",
       "      <td>es_wellness</td>\n",
       "      <td>5</td>\n",
       "      <td>3117.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>440</th>\n",
       "      <td>es_wellness</td>\n",
       "      <td>6</td>\n",
       "      <td>1639.02</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>441 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Tipo de Comercio  diaSemana  Importe Total\n",
       "0         es_airline          0         151.00\n",
       "1         es_airline          1          49.00\n",
       "2         es_airline          2          16.00\n",
       "3         es_airline          3          10.00\n",
       "4         es_airline          4          20.00\n",
       "..               ...        ...            ...\n",
       "436      es_wellness          2       11162.01\n",
       "437      es_wellness          3        7233.58\n",
       "438      es_wellness          4        9754.55\n",
       "439      es_wellness          5        3117.03\n",
       "440      es_wellness          6        1639.02\n",
       "\n",
       "[441 rows x 3 columns]"
      ]
     },
     "execution_count": 148,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datosplot7"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "id": "80b82a2c-fe9a-4506-93c7-ca0f0a4704cd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Tipo de Comercio', ylabel='Importe Total'>"
      ]
     },
     "execution_count": 149,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1440 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams['figure.figsize'] = (20, 20)\n",
    "plt.xticks(rotation=90)\n",
    "plt.xticks(fontsize=10)\n",
    "sns.barplot(data=datosplot7, x='Tipo de Comercio', y='Importe Total', hue='diaSemana')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "id": "93ee08ae-6b6b-4fbe-a833-24017c30d335",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Probamos a representar por CP, las ventas de café, apuestas y parking.\n",
    "# Partimos de aquí\n",
    "datosplot6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "id": "9014d646-211f-499a-90fc-514901355b1a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Filtramos...\n",
    "filtro = ((datosplot6['Tipo de Comercio'] == \"es_cafe\") | (datosplot6['Tipo de Comercio'] == \"es_parking\") | (datosplot6['Tipo de Comercio'] == \"es_bet\"))\n",
    "datosplot8 = datosplot6 [filtro]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "id": "7ac7bbd6-35e6-4f5a-8ae8-8ce269ad5364",
   "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>Tipo de Comercio</th>\n",
       "      <th>Código Postal</th>\n",
       "      <th>Importe Total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>es_bet</td>\n",
       "      <td>48001</td>\n",
       "      <td>46288.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>es_bet</td>\n",
       "      <td>48004</td>\n",
       "      <td>21619.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>es_bet</td>\n",
       "      <td>48005</td>\n",
       "      <td>26105.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>es_bet</td>\n",
       "      <td>48006</td>\n",
       "      <td>800.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>es_bet</td>\n",
       "      <td>48008</td>\n",
       "      <td>389374.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>es_bet</td>\n",
       "      <td>48009</td>\n",
       "      <td>6855.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>es_bet</td>\n",
       "      <td>48010</td>\n",
       "      <td>33679.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>es_bet</td>\n",
       "      <td>48011</td>\n",
       "      <td>34169.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>es_bet</td>\n",
       "      <td>48012</td>\n",
       "      <td>153.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>es_bet</td>\n",
       "      <td>48013</td>\n",
       "      <td>14806.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>es_bet</td>\n",
       "      <td>48015</td>\n",
       "      <td>416.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>es_cafe</td>\n",
       "      <td>48001</td>\n",
       "      <td>84299.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>es_cafe</td>\n",
       "      <td>48002</td>\n",
       "      <td>3775.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>es_cafe</td>\n",
       "      <td>48003</td>\n",
       "      <td>12806.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>es_cafe</td>\n",
       "      <td>48004</td>\n",
       "      <td>14258.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>es_cafe</td>\n",
       "      <td>48005</td>\n",
       "      <td>115874.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>es_cafe</td>\n",
       "      <td>48006</td>\n",
       "      <td>7905.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>es_cafe</td>\n",
       "      <td>48007</td>\n",
       "      <td>14218.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>es_cafe</td>\n",
       "      <td>48008</td>\n",
       "      <td>67179.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>es_cafe</td>\n",
       "      <td>48009</td>\n",
       "      <td>123786.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>es_cafe</td>\n",
       "      <td>48010</td>\n",
       "      <td>49097.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>es_cafe</td>\n",
       "      <td>48011</td>\n",
       "      <td>81302.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>es_cafe</td>\n",
       "      <td>48012</td>\n",
       "      <td>13826.73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>es_cafe</td>\n",
       "      <td>48013</td>\n",
       "      <td>139579.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>es_cafe</td>\n",
       "      <td>48014</td>\n",
       "      <td>44506.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>es_cafe</td>\n",
       "      <td>48015</td>\n",
       "      <td>1761.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>395</th>\n",
       "      <td>es_parking</td>\n",
       "      <td>48001</td>\n",
       "      <td>24226.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>396</th>\n",
       "      <td>es_parking</td>\n",
       "      <td>48002</td>\n",
       "      <td>25.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>397</th>\n",
       "      <td>es_parking</td>\n",
       "      <td>48003</td>\n",
       "      <td>20100.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>398</th>\n",
       "      <td>es_parking</td>\n",
       "      <td>48004</td>\n",
       "      <td>5278.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>399</th>\n",
       "      <td>es_parking</td>\n",
       "      <td>48006</td>\n",
       "      <td>3798.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>400</th>\n",
       "      <td>es_parking</td>\n",
       "      <td>48007</td>\n",
       "      <td>43123.42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>401</th>\n",
       "      <td>es_parking</td>\n",
       "      <td>48008</td>\n",
       "      <td>102744.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>402</th>\n",
       "      <td>es_parking</td>\n",
       "      <td>48009</td>\n",
       "      <td>118786.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>403</th>\n",
       "      <td>es_parking</td>\n",
       "      <td>48010</td>\n",
       "      <td>307843.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>404</th>\n",
       "      <td>es_parking</td>\n",
       "      <td>48011</td>\n",
       "      <td>780.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>405</th>\n",
       "      <td>es_parking</td>\n",
       "      <td>48012</td>\n",
       "      <td>89.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>406</th>\n",
       "      <td>es_parking</td>\n",
       "      <td>48013</td>\n",
       "      <td>65602.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>407</th>\n",
       "      <td>es_parking</td>\n",
       "      <td>48014</td>\n",
       "      <td>12773.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>408</th>\n",
       "      <td>es_parking</td>\n",
       "      <td>48015</td>\n",
       "      <td>61.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Tipo de Comercio Código Postal  Importe Total\n",
       "29            es_bet         48001       46288.95\n",
       "30            es_bet         48004       21619.99\n",
       "31            es_bet         48005       26105.51\n",
       "32            es_bet         48006         800.00\n",
       "33            es_bet         48008      389374.75\n",
       "34            es_bet         48009        6855.51\n",
       "35            es_bet         48010       33679.03\n",
       "36            es_bet         48011       34169.60\n",
       "37            es_bet         48012         153.18\n",
       "38            es_bet         48013       14806.97\n",
       "39            es_bet         48015         416.00\n",
       "58           es_cafe         48001       84299.48\n",
       "59           es_cafe         48002        3775.96\n",
       "60           es_cafe         48003       12806.48\n",
       "61           es_cafe         48004       14258.91\n",
       "62           es_cafe         48005      115874.01\n",
       "63           es_cafe         48006        7905.17\n",
       "64           es_cafe         48007       14218.22\n",
       "65           es_cafe         48008       67179.58\n",
       "66           es_cafe         48009      123786.15\n",
       "67           es_cafe         48010       49097.55\n",
       "68           es_cafe         48011       81302.54\n",
       "69           es_cafe         48012       13826.73\n",
       "70           es_cafe         48013      139579.97\n",
       "71           es_cafe         48014       44506.63\n",
       "72           es_cafe         48015        1761.98\n",
       "395       es_parking         48001       24226.50\n",
       "396       es_parking         48002          25.05\n",
       "397       es_parking         48003       20100.79\n",
       "398       es_parking         48004        5278.36\n",
       "399       es_parking         48006        3798.54\n",
       "400       es_parking         48007       43123.42\n",
       "401       es_parking         48008      102744.18\n",
       "402       es_parking         48009      118786.14\n",
       "403       es_parking         48010      307843.06\n",
       "404       es_parking         48011         780.34\n",
       "405       es_parking         48012          89.27\n",
       "406       es_parking         48013       65602.99\n",
       "407       es_parking         48014       12773.38\n",
       "408       es_parking         48015          61.00"
      ]
     },
     "execution_count": 164,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datosplot8"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "id": "72be2db6-9567-4fdd-b21f-0ab489e1a0a0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Código Postal', ylabel='Importe Total'>"
      ]
     },
     "execution_count": 165,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1440 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams['figure.figsize'] = (20, 20)\n",
    "plt.xticks(rotation=90)\n",
    "plt.xticks(fontsize=10)\n",
    "sns.barplot(data=datosplot8, x='Código Postal', y='Importe Total', hue='Tipo de Comercio')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ba67560b-472b-474f-81cb-ea8e52ed2ec3",
   "metadata": {},
   "source": [
    "#### ¿En qué CP se realizan más ventas? ¿y de mayor volumen?\n",
    "#### Deberemos dividir el proceso en varias partes.\n",
    "#### *Calcular la suma total de transacciones por CP\n",
    "#### *Calcular la suma total de importes por CP\n",
    "#### *Unir ambos resultados por CP\n",
    "#### *Calcular el importe medio (importe total / transacciones)\n",
    "#### *Pintar el resultado\n",
    "\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}