TP_Analisis_v3.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import datetime as datetime\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "%matplotlib inline\n",
    "\n",
    "plt.style.use('default') # haciendo los graficos un poco mas bonitos en matplotlib\n",
    "#plt.rcParams['figure.figsize'] = (20, 10)\n",
    "\n",
    "sns.set(style=\"whitegrid\") # seteando tipo de grid en seaborn\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "postulantes_gen_edad = pd.read_csv('/home/alejandro/Desktop/datos_navent_fiuba/fiuba_2_postulantes_genero_y_edad.csv',low_memory=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>idpostulante</th>\n",
       "      <th>fechanacimiento</th>\n",
       "      <th>sexo</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NM5M</td>\n",
       "      <td>1970-12-03</td>\n",
       "      <td>FEM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5awk</td>\n",
       "      <td>1962-12-04</td>\n",
       "      <td>FEM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ZaO5</td>\n",
       "      <td>1978-08-10</td>\n",
       "      <td>FEM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NdJl</td>\n",
       "      <td>1969-05-09</td>\n",
       "      <td>MASC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>eo2p</td>\n",
       "      <td>1981-02-16</td>\n",
       "      <td>MASC</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  idpostulante fechanacimiento  sexo\n",
       "0         NM5M      1970-12-03   FEM\n",
       "1         5awk      1962-12-04   FEM\n",
       "2         ZaO5      1978-08-10   FEM\n",
       "3         NdJl      1969-05-09  MASC\n",
       "4         eo2p      1981-02-16  MASC"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "postulantes_gen_edad.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 200888 entries, 0 to 200887\n",
      "Data columns (total 3 columns):\n",
      "idpostulante       200888 non-null object\n",
      "fechanacimiento    196138 non-null object\n",
      "sexo               200888 non-null object\n",
      "dtypes: object(3)\n",
      "memory usage: 4.6+ MB\n"
     ]
    }
   ],
   "source": [
    "postulantes_gen_edad.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "postulantes_gen_edad['fechanacimiento'].isnull().any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "postulantes_gen_edad_sin_NaN = postulantes_gen_edad.dropna(subset=['fechanacimiento'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "quite las filas que poseen algun NaN de la columna fechanacimiento."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "postulantes_gen_edad_sin_NaN['fechanacimiento'].isnull().any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "postulantes_gen_edad_sin_NaN = postulantes_gen_edad_sin_NaN.reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "postulantes_gen_edad_copia = postulantes_gen_edad_sin_NaN.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "postulantes_gen_edad_copia['fechanacimiento']=postulantes_gen_edad_copia['fechanacimiento'].str.split(\"-\")  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(196138, 3)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "postulantes_gen_edad_sin_NaN.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in range(0,postulantes_gen_edad_copia.shape[0]):\n",
    "    #print(postulantes_gen_edad_sin_NaN['fechanacimiento'][i][0])\n",
    "    if (int(postulantes_gen_edad_copia['fechanacimiento'][i][0]) < 1678 ):\n",
    "        postulantes_gen_edad_sin_NaN.drop(i, inplace=True)\n",
    "        continue\n",
    "    if (int(postulantes_gen_edad_copia['fechanacimiento'][i][1]) < 0 or int(postulantes_gen_edad_copia['fechanacimiento'][i][1]) > 12 ):\n",
    "        postulantes_gen_edad_sin_NaN.drop(i, inplace=True)\n",
    "        continue\n",
    "    if (int(postulantes_gen_edad_copia['fechanacimiento'][i][2]) < 0 or int(postulantes_gen_edad_copia['fechanacimiento'][i][1]) > 31 ):\n",
    "        postulantes_gen_edad_sin_NaN.drop(i, inplace=True)\n",
    "        continue\n",
    "    \n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Aca lo que se hizo fue quitar las filas que contienen un año,mes o dia invalido.."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(196131, 3)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "postulantes_gen_edad_sin_NaN.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "postulantes_gen_edad_sin_NaN = postulantes_gen_edad_sin_NaN.reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "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>idpostulante</th>\n",
       "      <th>fechanacimiento</th>\n",
       "      <th>sexo</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NM5M</td>\n",
       "      <td>1970-12-03</td>\n",
       "      <td>FEM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5awk</td>\n",
       "      <td>1962-12-04</td>\n",
       "      <td>FEM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ZaO5</td>\n",
       "      <td>1978-08-10</td>\n",
       "      <td>FEM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NdJl</td>\n",
       "      <td>1969-05-09</td>\n",
       "      <td>MASC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>eo2p</td>\n",
       "      <td>1981-02-16</td>\n",
       "      <td>MASC</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  idpostulante fechanacimiento  sexo\n",
       "0         NM5M      1970-12-03   FEM\n",
       "1         5awk      1962-12-04   FEM\n",
       "2         ZaO5      1978-08-10   FEM\n",
       "3         NdJl      1969-05-09  MASC\n",
       "4         eo2p      1981-02-16  MASC"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "postulantes_gen_edad_sin_NaN.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "postulantes_gen_edad_sin_NaN['fechanacimiento'] = pd.to_datetime(postulantes_gen_edad_sin_NaN['fechanacimiento'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "now = pd.Timestamp(datetime.datetime.now())  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "postulantes_gen_edad_sin_NaN['age'] = (now - postulantes_gen_edad_sin_NaN['fechanacimiento']).astype('timedelta64[Y]').astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "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>idpostulante</th>\n",
       "      <th>fechanacimiento</th>\n",
       "      <th>sexo</th>\n",
       "      <th>age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NM5M</td>\n",
       "      <td>1970-12-03</td>\n",
       "      <td>FEM</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5awk</td>\n",
       "      <td>1962-12-04</td>\n",
       "      <td>FEM</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ZaO5</td>\n",
       "      <td>1978-08-10</td>\n",
       "      <td>FEM</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NdJl</td>\n",
       "      <td>1969-05-09</td>\n",
       "      <td>MASC</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>eo2p</td>\n",
       "      <td>1981-02-16</td>\n",
       "      <td>MASC</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  idpostulante fechanacimiento  sexo  age\n",
       "0         NM5M      1970-12-03   FEM   47\n",
       "1         5awk      1962-12-04   FEM   55\n",
       "2         ZaO5      1978-08-10   FEM   39\n",
       "3         NdJl      1969-05-09  MASC   48\n",
       "4         eo2p      1981-02-16  MASC   37"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "postulantes_gen_edad_sin_NaN.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "postulantes_gen_edad_sin_NaN = postulantes_gen_edad_sin_NaN.sort_values(by='age',ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'Cantidad de postulantes')"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = postulantes_gen_edad_sin_NaN['age'].value_counts().sort_index(ascending=True).plot.bar(figsize=(15,7))\n",
    "g.set_title(\"Cantidad de postulantes segun la edad\", fontsize=22)\n",
    "g.set_xlabel(\"Edad\",fontsize=18)\n",
    "g.set_ylabel(\"Cantidad de postulantes\", fontsize=18)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Se ve que hay algunas personas con edades que no corresponderían.. 12,100 y 242 años..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "postulaciones = pd.read_csv('/home/alejandro/Desktop/datos_navent_fiuba/fiuba_4_postulaciones.csv',low_memory=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3401623, 3)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "postulaciones.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3357121, 3)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "postulaciones.loc[postulaciones['idpostulante'].isin(postulantes_gen_edad_sin_NaN['idpostulante'])].shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "lo que hice con \"postulaciones.loc[postulaciones['idpostulante'].isin(postulantes_gen_edad_sin_NaN['idpostulante'])]\"\n",
    "es filtrar en postulaciones por todos los id que tenga que coincidan en postulaciones_edad"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "post_validas = postulaciones.loc[postulaciones['idpostulante'].isin(postulantes_gen_edad_sin_NaN['idpostulante'])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_b = postulantes_gen_edad_sin_NaN.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "post_validas = pd.merge(post_validas, df_b, on='idpostulante', how='inner')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "fechas_validas = post_validas.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "del post_validas['fechanacimiento']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "del post_validas['sexo']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3357121, 4)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "post_validas.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_a = post_validas.loc[post_validas['age'] == 26]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "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>idaviso</th>\n",
       "      <th>idpostulante</th>\n",
       "      <th>fechapostulacion</th>\n",
       "      <th>age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>12361</th>\n",
       "      <td>1112247023</td>\n",
       "      <td>NZKzML</td>\n",
       "      <td>2018-01-16 16:01:51</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12362</th>\n",
       "      <td>1112278961</td>\n",
       "      <td>NZKzML</td>\n",
       "      <td>2018-01-26 18:04:05</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12363</th>\n",
       "      <td>1112293412</td>\n",
       "      <td>NZKzML</td>\n",
       "      <td>2018-01-26 18:05:16</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12364</th>\n",
       "      <td>1112294610</td>\n",
       "      <td>NZKzML</td>\n",
       "      <td>2018-01-29 15:09:46</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          idaviso idpostulante     fechapostulacion  age\n",
       "12361  1112247023       NZKzML  2018-01-16 16:01:51   26\n",
       "12362  1112278961       NZKzML  2018-01-26 18:04:05   26\n",
       "12363  1112293412       NZKzML  2018-01-26 18:05:16   26\n",
       "12364  1112294610       NZKzML  2018-01-29 15:09:46   26"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_a.head(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "avisos_det = pd.read_csv('/home/alejandro/Desktop/datos_navent_fiuba/fiuba_6_avisos_detalle.csv',low_memory=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "prueba = pd.merge(df_a, avisos_det[['idaviso','nombre_area']], on='idaviso', how='inner')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "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>idaviso</th>\n",
       "      <th>idpostulante</th>\n",
       "      <th>fechapostulacion</th>\n",
       "      <th>age</th>\n",
       "      <th>nombre_area</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1112247023</td>\n",
       "      <td>NZKzML</td>\n",
       "      <td>2018-01-16 16:01:51</td>\n",
       "      <td>26</td>\n",
       "      <td>Recursos Humanos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1112247023</td>\n",
       "      <td>eAB6a9</td>\n",
       "      <td>2018-01-22 20:13:44</td>\n",
       "      <td>26</td>\n",
       "      <td>Recursos Humanos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1112247023</td>\n",
       "      <td>5mrOlpM</td>\n",
       "      <td>2018-01-27 11:26:21</td>\n",
       "      <td>26</td>\n",
       "      <td>Recursos Humanos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1112247023</td>\n",
       "      <td>xkPZ23Y</td>\n",
       "      <td>2018-02-02 08:00:32</td>\n",
       "      <td>26</td>\n",
       "      <td>Recursos Humanos</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      idaviso idpostulante     fechapostulacion  age       nombre_area\n",
       "0  1112247023       NZKzML  2018-01-16 16:01:51   26  Recursos Humanos\n",
       "1  1112247023       eAB6a9  2018-01-22 20:13:44   26  Recursos Humanos\n",
       "2  1112247023      5mrOlpM  2018-01-27 11:26:21   26  Recursos Humanos\n",
       "3  1112247023      xkPZ23Y  2018-02-02 08:00:32   26  Recursos Humanos"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prueba.head(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "prueba_fin = prueba.groupby('nombre_area').size().sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "nombre_area\n",
       "Ventas                      26077\n",
       "Administración              20881\n",
       "Producción                  19698\n",
       "Comercial                   13838\n",
       "Atención al Cliente         12954\n",
       "Recepcionista                9816\n",
       "Call Center                  7509\n",
       "Tesorería                    5404\n",
       "Telemarketing                4855\n",
       "Mantenimiento y Limpieza     3909\n",
       "dtype: int64"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prueba_fin.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'Cantidad de postulaciones')"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1800x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = prueba_fin.plot.bar(figsize=(25,10))\n",
    "g.set_title(\"Postulaciones para la edad de 26\", fontsize=22)\n",
    "g.set_xlabel(\"Nombre area\",fontsize=18)\n",
    "g.set_ylabel(\"Cantidad de postulaciones\", fontsize=18)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "avisos_vistos = pd.read_csv('/home/alejandro/Desktop/datos_navent_fiuba/fiuba_3_vistas.csv',low_memory=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "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>idAviso</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>idpostulante</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1111780242</td>\n",
       "      <td>2018-02-23T13:38:13.187-0500</td>\n",
       "      <td>YjVJQ6Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1112263876</td>\n",
       "      <td>2018-02-23T13:38:14.296-0500</td>\n",
       "      <td>BmVpYoR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1112327963</td>\n",
       "      <td>2018-02-23T13:38:14.329-0500</td>\n",
       "      <td>wVkBzZd</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1112318643</td>\n",
       "      <td>2018-02-23T13:38:17.921-0500</td>\n",
       "      <td>OqmP9pv</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      idAviso                     timestamp idpostulante\n",
       "0  1111780242  2018-02-23T13:38:13.187-0500      YjVJQ6Z\n",
       "1  1112263876  2018-02-23T13:38:14.296-0500      BmVpYoR\n",
       "2  1112327963  2018-02-23T13:38:14.329-0500      wVkBzZd\n",
       "3  1112318643  2018-02-23T13:38:17.921-0500      OqmP9pv"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "avisos_vistos.head(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "avisos_vistos = avisos_vistos.rename(columns={\"idAviso\": \"idaviso\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "avisos_vistos_26 = avisos_vistos.loc[avisos_vistos['idpostulante'].isin(prueba['idpostulante'])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "prueba3 = pd.merge(avisos_vistos_26, avisos_det[['idaviso','nombre_area']], on='idaviso', how='inner')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "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>idaviso</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>idpostulante</th>\n",
       "      <th>nombre_area</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1111780242</td>\n",
       "      <td>2018-02-23T13:38:13.187-0500</td>\n",
       "      <td>YjVJQ6Z</td>\n",
       "      <td>Programación de producción</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1111780242</td>\n",
       "      <td>2018-02-23T14:00:58.249-0500</td>\n",
       "      <td>KBdJJKd</td>\n",
       "      <td>Programación de producción</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1111780242</td>\n",
       "      <td>2018-02-23T15:30:14.817-0500</td>\n",
       "      <td>96XY1Ea</td>\n",
       "      <td>Programación de producción</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      idaviso                     timestamp idpostulante  \\\n",
       "0  1111780242  2018-02-23T13:38:13.187-0500      YjVJQ6Z   \n",
       "1  1111780242  2018-02-23T14:00:58.249-0500      KBdJJKd   \n",
       "2  1111780242  2018-02-23T15:30:14.817-0500      96XY1Ea   \n",
       "\n",
       "                  nombre_area  \n",
       "0  Programación de producción  \n",
       "1  Programación de producción  \n",
       "2  Programación de producción  "
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prueba3.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "prueba_visto= prueba3.groupby('nombre_area').size().reset_index(name='counts') #probado funciona bien"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>nombre_area</th>\n",
       "      <th>counts</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Abastecimiento</td>\n",
       "      <td>157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Administracion de Seguros</td>\n",
       "      <td>118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Administración</td>\n",
       "      <td>6342</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Administración de Base de Datos</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       nombre_area  counts\n",
       "0                   Abastecimiento     157\n",
       "1        Administracion de Seguros     118\n",
       "2                   Administración    6342\n",
       "3  Administración de Base de Datos       9"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prueba_visto.head(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "prueba_post = prueba.groupby('nombre_area').size().reset_index(name='counts') #probado funciona bien"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "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>nombre_area</th>\n",
       "      <th>counts</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Abastecimiento</td>\n",
       "      <td>789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Administracion de Seguros</td>\n",
       "      <td>321</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Administración</td>\n",
       "      <td>20881</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Administración de Base de Datos</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       nombre_area  counts\n",
       "0                   Abastecimiento     789\n",
       "1        Administracion de Seguros     321\n",
       "2                   Administración   20881\n",
       "3  Administración de Base de Datos      41"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prueba_post.head(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "prueba5 = pd.merge(prueba_post, prueba_visto, on='nombre_area', how='inner')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "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>nombre_area</th>\n",
       "      <th>counts_x</th>\n",
       "      <th>counts_y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Abastecimiento</td>\n",
       "      <td>789</td>\n",
       "      <td>157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Administracion de Seguros</td>\n",
       "      <td>321</td>\n",
       "      <td>118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Administración</td>\n",
       "      <td>20881</td>\n",
       "      <td>6342</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Administración de Base de Datos</td>\n",
       "      <td>41</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       nombre_area  counts_x  counts_y\n",
       "0                   Abastecimiento       789       157\n",
       "1        Administracion de Seguros       321       118\n",
       "2                   Administración     20881      6342\n",
       "3  Administración de Base de Datos        41         9"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prueba5.head(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "prueba5['count'] = prueba5.apply(lambda row: row.counts_x + row.counts_y, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "del prueba5['counts_x']\n",
    "del prueba5['counts_y']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "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>nombre_area</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Abastecimiento</td>\n",
       "      <td>946</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Administracion de Seguros</td>\n",
       "      <td>439</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Administración</td>\n",
       "      <td>27223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Administración de Base de Datos</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       nombre_area  count\n",
       "0                   Abastecimiento    946\n",
       "1        Administracion de Seguros    439\n",
       "2                   Administración  27223\n",
       "3  Administración de Base de Datos     50"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prueba5.head(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "prueba5 =prueba5.set_index('nombre_area').sort_values(by='count',ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "#del prueba5.index.name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'Cantidad de avisos vistos o postulados')"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABb4AAAMdCAYAAABUQ2ACAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAIABJREFUeJzs3XmYbFV1N+DfBRxwBJwBo6jUEjEquSoao4IjKqMaFJUhUeMYo5BPcYQ4ROMYEueIAhokaJQhIMQRhwjIdQbcDoiKkhgVUNEoQ39/nNNStN19+/Sty23K932eeqpq73X2WVXVfR9YtXudVTMzMwEAAAAAgGmx0YZOAAAAAAAAJknhGwAAAACAqaLwDQAAAADAVFH4BgAAAABgqih8AwAAAAAwVRS+AQAAAACYKpts6AQAAFaaqjo/ye3mDP8myYVJPpPkja21L1/Daa1XVTWTJK21VRvg3LdP8t0k32ut3f6aPj/XnKraKcknk5zWWttpw2Yz3DX9s1pVRyTZP8lftNaOWKlrLnCeGyR5cJJHJLl/km2SXCfdv6OfTvKm1tqX1rLG5kkOTLJHf/yq/vjTk7y6tXbO+sofALj2s+MbAGBhpyY5sr/9Z5LrJ9k3yReq6vHXdDJVdURVzVTVAdf0uQEGekKSE5I8I8mNk3wsyYlJLstV/44+daGDq2p1km8keUmSG6X79/g/k1ya5IlJ/mR9Jg8AXPvZ8Q0AsLDXtNY+NfukqjZN8i/pii7vqKr/bK39bEMlN0V+mGS7dAUxYDpcluTdSd48vrO7qlYleV6SNyR5S1Wd1lr75viBVbVluiL3jZLs31o7as78Vkk2Xs/5AwDXcgrfAABL1Fr7dVU9I8meSW6S5OFJ3r9hs7r2a61dlm5nJzAlWmuzfy0zd3wmyRur6pHpWqE8Lskr5oS9IckWSf52btG7X+OHk88YAJg2Ct8AAAO01n5RVd9MskPm9AGvqhsmeW6SvZPcqR/+VpJjk/xja+1Xc9erqocl+Zsk90qyeZJfJPlxkv9Kt1Pyi2N9hWe9p6reM/b8L1prR6ytf/Jy+hNX1V2SPD7JQ5LcPsnNk1yS5AtJ/qm1dsoix26Xbmfng5JsleT/kvwg3U7Of26tfW8peVXV7ZK8IMku/Tq/SvLlJP/SWjt6nvhDkxyS5O+SvC3Jy5M8Ksktkvwoyb8lObS19n8L5L1jn/efJbll/3o/n+S1rbXPzhNfSV6UZKckt0nXD/6nSb6U5H2ttX9f6D1aJO8j0xUDH5rkpkm+k2737GGttcvnHHfjJPskeWSSuybZMsmV6X72PpiuJ/2v5znf7/q6V9WTk/xVup33N06yeWvt4nX5/Ieqqock2Svd+751ut2+/53kU+n++uLcZa778CTPSrJjut+xn/Zr/n1r7WsLHHP/JC/rj1mV5KtJXp/uM51o/v2/Gy9K9z5vne73/8QkLx30Qie05nLer2X6UrrC99Zzzn/rJI9N93v+9gmeDwD4A6PHNwDAcDfp738zO1BVN09XHH1lktum60d7arri+KuS/FdVbTG+SN+r+9R0Bd1vpytSfi5dgfiAJA/rQ3+ZrhD6nf7553JV7/Ej+2PXlwPTFcs2S/KVJB9Ocn66C9Z9pKoOnO+gqtovXXH6qekKhycmOS3df38elGTnpZy8qu7Tr/OMfujD6Yqu90vyr1V1VN86YT63TbImya7pPptPpStkvyDdlxHzne+gPnbvdEXL49O9v49KctrcnsRV9cd9PvulK9SdmO4zvTDdXwQs2MN4EdskOSvde/SpdF9m3CFd4fUDVTX3v+HvnuQdSe6brrB/Qv8a7pju5/FTVXX9hU5WVf+c5J3pfp7/I917NtNPL+vzX6a3J3lyksvTXfzw5CS/TffenlVVfzZ0wao6LMkp6fL9TpLj0n02j09yZr/reO4x+6R73x+S7rM/Md2GoQ8lec4k8+8L1J9MV6S+eZKPJDmzz++MdIXnQdZlzeW8X+tg2/7+wjnjO6d7v7/UWru0qh5YVf9QVe+oqpdU1d0nmAMAMMXs+AYAGKCq7pGuMJl0BdlZb03yx0k+k2T31trFffzm6YqJf5rkLel25s56WX9//9baf805z9bpC+yttZ8kOaCqjkhXzHxXa+2Iyb2qRb03yStba+fPyW/HdDu3X1NVx7bWLhibu1eSw9MVvJ+S5N19e4PZ+e2WcuK+WHtsuqLrP6Zre3BFP3fXJB9Pd5G8z6Ur/M71l0neleRZrbXfjp37zCS7VdX9WmufGzvfI9IVl3+U5NGttTPG5u6XrpA5tyfx89LtkH5Ra+3Vc/K/UbqfiaH2S/LvSZ40uyu9qrZNV8zcM8nT0/28zTo/3c7ZT7XWrhw7/2bpWvHsku6vCv5hgfPtm+S+rbUz55kb/Pmvg79N9xouHjvPqnQ70d+e5J1Vtf34z9Jiqurp6QrVZyd5bGvtG2Nzeyb5QLovT+7QWruoH98y3ZcAGyV5Rmvt7WPHPC7J7/2FwTrm//J0f+3xtSQPaa39uD9usyQnJdl9Ka91jmWtuZz3a7n6L4wele4Llg/PmZ79nfmfqjomXSuUca+oqnek+72+Yl3yAACmmx3fAABLUFWbV9Xu6XZ9bpSu6H1aP3e7dH+af2WSp44XvvoC0VP7ub2r6rZjy94qycVzi979cRe01s5ZX69nqVprp80tevbjZyR5c5LrJNljzvSL022weH1r7fC5hcrW2rlLbFvx5+l2bZ+f5PnjRa7W2tfTtQVJuoLjfH6Q5DmzRe/Zc6cr5iZdsXjcof39U8aL3v1xn0vXeuQ6SZ42NnWr/v4jc0/eWvtla+3zC+S2mF8leeZ4K5bW2rdyVZuK5805zwWttU+MF7378Ytz1Q7lxy5yvtcuUPRe7ue/LK2148Z/d/qxmdbaO9K1/tkuyV2WslZVbZyrvljae7yIO3uudF+WbJbkSWNTT07XouS08aJ3f8y/pdsBPZH8+4vl/lX/9DmzBer+uIvT/ZXDkor867rmOrxfg/VfCB2d7t+I97TWvjInZPYvY3ZL8ph0O9f/KF2rov2TXJzud/BlAQBYhB3fAAAL+2TXvvn3fDHdjuDZQuP90+1u/nxrrc0Nbq2dU1VnpGtF8YAk/9pPnZlkp6o6Ksmbknx5qbtZr0l9D+lHJblHuqLUdfup2VYFo7HYjdP1pU663dbr4oH9/dH9BTDnOiLdzuc7VdVW81zw7hPz9bbOVRfS3HJ2oG9Vc+8kP0+3k3k+p/X39x0bOzNdb+23V9VLk3y6tfab3ztymI+OFyzHHJ3uPf2919vvLL5fup+vrZNsmu5ncrYNzCgL+9BiyQz5/NdV/5cOj0py53R/8bBxP3XrsXOdvYSl7pGu3/rZi3yBdFq6Xtb3TfLP/djsz9z7FjjmvUkePaH8V6crsv+wtfapuWu11r5aVV9N18pmqZa75nLfr0Gq6jrpdo7fNd2Xh/O1jpndnHWddH9tMP6XFEdV1aXp2kIdVFWva639cjm5AADTT+EbAGBhp6br85x0/Y9/lK6VySfnFKi36u/HL0A513npCkZbjY09M10blH372yVVdWaSjyU5qrX237+3yjWsqvZId1HFLRYJu8nY45snuUGSy1tr69p7fNH3tbX2f1X1oz5uqyRzC9/fX2Ddn/f3432vZ9vX3CTJ5Qt84THrFmOPX5fui48HpyuY/6aqZv8a4H3LvBjgQq/3N1V1YbrXunX611tVt0pXvP7TRda8ySJz31toYhmf/7JV1d+l29272P+jLPVcd+jvt5+9iOcixj/P2QstLvS7fP5Ciywj/7Wda/Z8Qwrfy11zue/XklXVJkmOSdd659wkD2+tXTpP6C/GHv/L3MnW2r9X1U/S/Vtz7ySfWE4+AMD0U/gGAFjYa+bbNbmIQbu1W2vnVtWd010E8UHpduzunG7H9CFV9ZjW2ilD1lyLQW3u+t2r70+3e/jV/ePzk1zaWruyqv4qXfuD8YtLro8d68td88q1h/zO7M7cS7JIO4veT2YftNZ+leQhfc/rXdJ9hvdNsmOS51fVIa21lw/IYznela7o/bl07Vq+kq6FzmVVdd2MXYR1Pgvsil/u578sVfWYdK0rfpHugpqfSHLhbG5VdXS6/vhLPdfs5/nDdF8kLeYba5lfq/WQ/zVtvb5f/V+C/Gu63fLfzljv8XnMFu0vT9euaKGYm+eqnfQAAL9H4RsAYN3N7jS+wyIxs3NX25Xct/D4j/42ezHMQ9JdjPDwXH2H+NrM9rK+0QLztxuwVpLsmq7o+e+ttRfNM3+necZ+mq5H9Q2q6o6tte8MPOe4Rd/X/uKXW86JXa7ZAttlrbUDhh7c97w+o8/rukmekG636qFV9W/ztcBZxO3nG+zXvU3/dHa39w3TtVq5Ismuc3tMZ/7PaKmW8/kv15/39y9qrc3XImfouWY/zwsHfp4/TFJZ4DNYZHw5+c/+zC605trm5rPcNZf7fq1VX/R+X5K90xWsH9Ra+9Eih3yxv98kyU3T9fSe6+b9vTYnAMCCXNwSAGDdfSbdruT7VNXv9Tuuqu3S7QC+MsmnF1uovxjm/+tjt6yq8bYCs4XthTYvzBa97tj30p3rkYudex6z7S1+b9dlVV0v3YXnrqa/AOXsjtGnDDzfXLM9tffp2yTMtX+6HbTfnqe/9yD98V9LcvOq2mkd1/pta+2IJKf3+d1t4BIP63uOz7VPuv9+/05r7YJ+7Kb92C/mKXonyRMHnnvc4M9/PZ1ruyQ7DFzvzHRfwuxQVUOK5rM/cwu9bwuNLyf/NUkuTbJ1VT1gnuPumuE/O8tdc7nv16KqaqMkRyV5fLqWOju31hbaxT3r9CQX9o/nXoA2fX6zX+KdNaFUAYAppPANALCOWmvfS/Lv6f7b6h1VddPZuaraLF07iI2SHDtb9KmqG1TVgXMK27Me1cf/PFff7Thb3N1ukTy+k2SzJAeNz1XVnpn/QnKLmW1p8Ji+j/TsWtdNd3G7hXa4vyrdDuS/raoD5k5W1Z37Fi9r84F0hcRtkry6L6LNrnGXJH/XP339EtZaipf29++rqofNnayqjavqQVV1n7GxZ9Y8DcGr6g5Jtu+fLthDewE3SPKWvrg8u94dk7yif3rYWOz/JLkoyWZV9YQ5OeySru3Gci3381+Xcz21X3/2XLdMcmQG/qVq/5cUr0jXwuO4qrr33Jiqum5V7T7nZ/HwdIXjnavqqXPiH5uFL2w5OP++Tc7s7vDDxv8t6P8NeWsGtkZZ7prr8H4tqP99fU+6v374frqi91p/F/qLBs9e0PK144X4/i9i/iXdv48fWsvOcQDgD5xWJwAAk/GMJHdOslOS86rqU/34zkk2T9d3+Vlj8ddN8oZ0hZ2vJflWul3ed0xyz3Q7yF/QF6RmHZ+uj/Bz+52bF/Rx726t/Vcf88Ik/5auUPzn6S6quW26XZ5/n+TFA17TCUm+lG636rf61/R/6fpY3zTJP2WeYnpr7cyx/s/vqaqXpGtfcN10LR+2T/IXWUuv4P7ilXsn+UiSv02yV1V9Id3u2p2TXCfJe5O8c8BrWux8x1fVQUlem+TUqvpmkpauncKt070Pm6X7rE/vD/urdEXq85J8fSz2z/rXe0xr7cyBqbw33Zcf36mqzyW5cbrXe/0kJyZ5y1jOV1TVq9IV//+1qp6drg/3HdNd+O/v011wcTmW9fkv0z8m2S/d6/52VZ2Rrs3KA9N9+XFckj2HLNhaO6yqbpfkeUnOqKqvpvti6LfpWgjtkOSGSR6R/mextfbDqnp6umL1O/vHLV2Rf8ckb+rXm1T+L0l3cdQ/6Y/7RLovjXZO96XXCUl2H/K6l7vmct6vtXh2uvck6f4dOmSBi8Z+dp72MG9J9zu0d5KvVNXnk/w6Xf/8myU5J8nTlpADAPAHzI5vAIAJaK39JF1R5qXpdmY/or/9IF2x+X6ttZ+NHfLLdAXUD6YrkD08XTFqsyRHJ7lva+3tc87x5SSPS/KFdBcz/MskT04yGov5QLoC2+npdoY/PF2x6xG5aifoUl/T5ekKd69N13rgYekKap9OsjpdUXShY9+drvB2RLoC9R5JHpDugnWvS3fxv6XkcHqSeyR5e7rdqI9OV4D8fJInJdm/tTaxC2q21t6Y7rUd3p/voUl2S7J1utf91CTHjh3yknQF/p+n+0wem+6LhtPSFe2W02rkvCT3SvLZdMXKB6crZj8/yWP6HbHjOb+hP+/p6b5U2DVdofNJrbUhX3Rczbp8/ss413npCqvHpNuRvFu6n993pvu9umSZ6x6Y7jUck+4LqEeluwjpzdP11X9iulZF48e8L917/vF0v1u7pfuC6c/TFfsnln9r7Zd9fq9J8rN07Yjuk+7fhR3T7eYf+pqXveZy3q9FbDH2eKd0rYnmu/3ZPHlcma49ylOSfDXdlzgPSfdzeGiSHft/cwEAFrRqZmZi/58AAAAsU1Udmu7Cpn/XWjt0w2YDAADXbnZ8AwAAAAAwVRS+AQAAAACYKgrfAAAAAABMFT2+AQAAAACYKnZ8AwAAAAAwVTbZ0AmsNGvWrLEFHgAAAADgWmD16tWr5p2YmZlxG7udddZZM+PmPp/PSotZiTmJmb6YlZiTmOmLWYk5iZm+mJWYk5g/zJiVmJOY6YtZiTmJmb6YlZiTmOmLWYk5iZm+mJWYk5h5x+at82p1AgAAAADAVFH4BgAAAABgqih8AwAAAAAwVRS+AQAAAACYKgrfAAAAAABMFYVvAAAAAACmisI3AAAAAABTReEbAAAAAIAN6ogjjsivf/3ria23ycRWAgAAAADgGrHbQccvPHn0BWtfYE7MiW/YYx0zWjdHHXVUdt9992y66aYTWU/hGwAAAACAtTruuONy+OGHZ9WqVamqPPjBD85+++2Xiy66KFtssUVe/epXZ8stt8zBBx+cnXbaKbvsskuSZIcddsiXvvSlnHHGGXnzm9+czTffPN/85jez/fbb5/Wvf31OOeWU/PjHP87++++fzTbbLO9973vXOVeFbwAAAAAAFvWtb30rb3vb2/L+978/W2yxRS6++OI8/elPz+Me97jstdde+eAHP5hXvvKVeetb37roOuecc05OOumk3PKWt8w+++yTNWvWZJdddsnHP/7xHHnkkdliiy0mkq8e3wAAAAAALOr000/PLrvs8rvC9GabbZZvfetb2XXXXZMke+yxR9asWbPWde52t7vl1re+dTbaaKPc+c53zg9/+MP1kq/CNwAAAAAAE7PxxhvnyiuvTJJceeWVueyyy343d93rXvdqcVdcccV6yUHhGwAAAACARd3nPvfJKaeckosuuihJcvHFF2c0GuWkk05Kkpx44om55z3vmSTZaqutcvbZZydJ1qxZc7XC90JueMMb5tJLL51Yvnp8AwAAAACwqG233TZPf/rTs++++2ajjTbKXe5yl+y///45+uijc/jhh//u4pZJsvfee+eZz3xmdt9994xGo9zgBjdY6/p77713nvKUp+SWt7yli1sCAAAAAPwhOvENe8w7vmbNmqxevXrRY5cSM5+99tore+2119XWOeqoo34v7uY3v3mOPfbY38W8/vWvT5LsuOOO2XHHHX8X97KXvex3Mfvuu2/23XffwTktRKsTAAAAAACmisI3AAAAAABTReEbAAAAAICpovANAAAAAMBUUfgGAAAAAGCqKHwDAAAAADBVFL4BAAAAAJgqCt8AAAAAAEyVTTZ0AivVbgcdf9WToy/IiW/YY8MlAwAAAADAktnxDQAAAADAVFH4BgAAAABgqih8AwAAAAAwVRS+AQAAAACYKgrfAAAAAABMFYVvAAAAAACmisI3AAAAAABTReEbAAAAAICpovANAAAAAMBUUfgGAAAAAGCqKHwDAAAAADBVFL4BAAAAAJgqCt8AAAAAAEwVhW8AAAAAAKaKwjcAAAAAAFNF4RsAAAAAgKmi8A0AAAAAwFRR+AYAAAAAYKoofAMAAAAAMFUUvgEAAAAAmCoK3wAAAAAATBWFbwAAAAAAporCNwAAAAAAU0XhGwAAAACAqaLwDQAAAADAVFH4BgAAAABgqih8AwAAAAAwVRS+AQAAAACYKgrfAAAAAABMFYVvAAAAAACmisI3AAAAAABTReEbAAAAAICpovANAAAAAMBUUfgGAAAAAGCqKHwDAAAAADBVFL4BAAAAAJgqCt8AAAAAAEwVhW8AAAAAAKaKwjcAAAAAAFNF4RsAAAAAgKmi8A0AAAAAwFRR+AYAAAAAYKpssqFOXFXXT/LpJNfr8/hga+2QqtomyTFJbpZkTZJ9W2u/rarrJTkqyeokP03yuNba+f1aL0zy5CRXJHlOa+3UfnyXJIcl2TjJu1prr7kGXyIAAAAAABvAhtzx/ZskD2qt3T3JPZLsUlX3SfIPSd7UWrtTkovSFbTT31/Uj7+pj0tV3SXJ45Nsn2SXJG+tqo2rauMkb0nyiCR3SbJPHwsAAAAAwBTbYIXv1tpMa+2X/dPr9LeZJA9K8sF+/Mgke/aP9+ifp59/cFWt6sePaa39prX23STfTnLv/vbt1tp5rbXfpttFvsd6flkAAAAAAGxgG7THd78z+8tJfpzko0m+k+Ti1trlfcgFSbbqH2+V5AdJ0s9fkq4dyu/G5xyz0DgAAAAAAFNs1czMzIbOIVW1WZIPJ3lpkiP6diapqtsm+Uhr7a5V9fUku7TWLujnvpNkxySHJjm9tfa+fvzwJB/pl96ltfaUfnzfJDu21p69WC5r1qyZSZJDj77gauOHPmHrCbxSAAAAAAAmZfXq1avmnZiZmVkRt9Fo9LLRaPT/RqPRT0aj0Sb92H1Ho9Gp/eNTR6PRffvHm/Rxq0aj0QtHo9ELx9Y5tT/ud8f241eLW+h21llnzczMzMzseuBxV7stZvaYlRKzEnMSM30xKzEnMdMXsxJzEjN9MSsxJzF/mDErMScx0xezEnMSM30xKzEnMdMXsxJzEjN9MSsxJzHzjs1b591grU6q6hb9Tu9U1aZJHprk3CSfTPLYPmz/JMf3j0/on6ef/0RrbaYff3xVXa+qtkmybZIzk3whybZVtU1VXTfdBTBPWP+vDAAAAACADWlD9vi+TZJPVtVX0xWpP9pa+48kL0hyYFV9O10P78P7+MOT3KwfPzDJwUnSWjs7ybFJzklySpJntdau6PuAPzvJqekK6sf2sQAAAAAATLFNNtSJW2tfTbLDPOPnJbn3POP/l+TPF1jrVUleNc/4yUlOXudkAQAAAAC41tiQO74BAAAAAGDiFL4BAAAAAJgqCt8AAAAAAEwVhW8AAAAAAKaKwjcAAAAAAFNF4RsAAAAAgKmi8A0AAAAAwFRR+AYAAAAAYKoofAMAAAAAMFUUvgEAAAAAmCoK3wAAAAAATBWFbwAAAAAAporCNwAAAAAAU0XhGwAAAACAqaLwDQAAAADAVFH4BgAAAABgqih8AwAAAAAwVRS+AQAAAACYKgrfAAAAAABMFYVvAAAAAACmyiZLDayqmyW5ZWvt3LGxbZIcmGSLJEe11k6dfIoAAAAAALB0Q3Z8H5bkyNknVXWjJJ9J8qwk+yQ5qaoeMNn0AAAAAABgmCGF7/smOXns+eOSbJnkkf39uUmeP7nUAAAAAABguCGF71sl+cHY80ckOau1dkpr7b+THJFkhwnmBgAAAAAAgw0pfF+WZNOx5w9MctrY84uT3GwSSQEAAAAAwHIt+eKWSb6Z5DFV9ZYku6W7oOXHx+Zvm+RnE8wNAAAAAAAGG1L4fku6diYXJblBkvNy9cL3/ZN8bWKZAQAAAADAMiy51Ulr7agk+6crdr8vySNaa5clSVXdLMlmSY5dH0kCAAAAAMBSDdnxndbae5O8d57xnyZZPamkAAAAAABguQYVvmf1O7y36Z9+ty98AwAAAADABjeo8F1Vd0/yT0n+bM74Z5I8p7X21QnmBgAAAAAAgy258F1Vd03y2STXT3J8krP7qe2T7JbkM1X1p621sxdYAgAAAAAA1rshO75fnuSyJPebu7O7L4p/uo95zOTSAwAAAACAYTYaEPuAJG+Zr51Ja+3rSd6a5IGTSgwAAAAAAJZjSOH7hkn+e5H5C/sYAAAAAADYYIYUvs9Lsusi87v2MQAAAAAAsMEM6fF9VJJXV9XRSV6V5Bv9+HZJXpjkYUkOnmx6AAAAAAAwzJDC9+uT/EmSxyd5XJIr+/GNkqxKcmySN0w0OwAAAAAAGGjJhe/W2hVJHldV70qyZ5Jt+qnzkhzXWvvYesgPAAAAAAAGGbLjO0nSWvtoko+uh1yudXY76Pirnhx9QZLkxDfssYGyAQAAAAAgGXZxSwAAAAAAWPEW3PFdVe9exnozrbUnr0M+AAAAAACwThZrdXLAPGMz/f2qecZX9fcK3wAAAAAAbDALFr5ba1drg1JVt0hySpLvJXltknP6qe2TPD/JbZPssn7SBAAAAACApRlyccs3Jvlxa+3Rc8Y/n2Svqjqlj9lvUskBAAAAAMBQQy5u+cgkJy4yf2IfAwAAAAAAG8yQwvf1kmy9yPzWfQwAAAAAAGwwQwrfn03y11X1gLkTVfXAJH+d5HOTSgwAAAAAAJZjSI/vA9MVvz9ZVWcl+UY/fuck90zy8yQHTTY9AAAAAAAYZsk7vltr5yT5kyT/lmS7JPv2t+36sdWttbPXR5IAAAAAALBUQ3Z8p7V2fpInVNWqJLfsh/+3tXblpBMDAAAAAIDlGFT4ntVam0nyPxPOBQAAAAAA1tngwndVbZyur/fmmadVSmvt0xPICwAAAAAAlmVQ4buqXpDk4CQ3WSRs43XKCAAAAAAA1sGSL25ZVU9O8uokX07ykiSrkvxjktcl+VmSs5L85XrIEQAAAAAAlmzJhe8kz0hyemtt5yTv7MdOaq0dnORuSW4fu70BAAAAANjAhhS+t0vygf7xTH+/cZK01i5MVwz/m8mlBgAAAAAAww0pfF+R5NL+8ez9zcbmz0+y7QRyAgAAAACAZRtS+P5+km2SpLX2myQ/SHL/sfl7pev1DQAAAAAAG8wmA2I/neRRSV7YP/9AkudW1abpCuhPSvLuyaYHAAAAAADDDCl8H5bkK1W1aWvt10kOSTJKsn8//5+2vpIgAAAgAElEQVRJDp5wfgAAAAAAMMiSC9+ttZakjT2/NMnuVXXTJFe01n65HvIDAAAAAIBBhuz4nldr7ZJJJAIAAAAAAJMw5OKWAAAAAACw4i2447uqrkwyM3C9mdbaOu8iBwAAAACA5VqsSH1Uhhe+AQAAAABgg1qw8N1aO+AazAMAAAAAACZCj28AAAAAAKaKwjcAAAAAAFNlyReiXOLFLl3cEgAAAACADWpIkXq+i11ukuSOSXZM8tUkX17qYlV1237NW/XrvrO1dlhVHZrkqUn+tw99UWvt5P6YFyZ5cpIrkjyntXZqP75LksOSbJzkXa211/Tj2yQ5JsnNkqxJsm9r7bcDXjMAAAAAANcySy58L3axy6r60yQnJHnGgHNfnuSg1toXq+rGSdZU1Uf7uTe11l4/5xx3SfL4JNsn2TLJx6pq1E+/JclDk1yQ5AtVdUJr7Zwk/9CvdUxVvT1d0fxtA3IEAAAAAOBaZiI9vltr/5XkPekKzUs95sLW2hf7x79Icm6SrRY5ZI8kx7TWftNa+26Sbye5d3/7dmvtvH439zFJ9qiqVUkelOSD/fFHJtlz2CsDAAAAAODaZpIXt/xWktXLObCqbp9khyRn9EPPrqqvVtW7q2rzfmyrJD8YO+yCfmyh8Zslubi1dvmccQAAAAAAptiqmZm1Xa9yaarq6CQPba3dYuBxN0pyWpJXtdY+VFW3SvKTdH2/X5HkNq21v6yqNyc5vbX2vv64w5N8pF9ml9baU/rxfdP1HD+0j79TP37bJB9prd11sXzWrFkzkySHHn3B1cYPfcLWvxc7N2ahOAAAAAAAJm/16tWr5p2YmZlZ0m00Gu23wO25o9HoP0aj0RWj0eidS12vX/M6o9Ho1NFodOAC87cfjUZf7x+/cDQavXBs7tTRaHTf/nbq2PgL+9uq0Wj0k9FotEk/frW4hW5nnXXWzMzMzMyuBx53tdt85sYsFDczMzMzu+5iJhVzTZ9PzB9mzErMScz0xazEnMRMX8xKzEnMH2bMSsxJzPTFrMScxExfzErMScz0xazEnMRMX8xKzEnMvGPz1nmXfHHLJEek24U9XwX98iSHJ3neUhfre3AfnuTc1tobx8Zv01q7sH+6V5Kv949PSHJ0Vb0x3cUtt01yZp/PtlW1TZIfprsA5hNaazNV9ckkj03X93v/JMcvNT8AAAAAAK6dhhS+d55nbCbJz5J8t7V26cBz3y/Jvkm+VlVf7sdelGSfqrpHv/b5SZ6WJK21s6vq2CTnpCu0P6u1dkWSVNWzk5yaZOMk726tnd2v94Ikx1TVK5N8KV2hHQAAAACAKbbkwndr7bRJnri19tnMv3v85EWOeVWSV80zfvJ8x7XWzkty73VIEwAAAACAa5mNlhpYVedV1e6LzO9aVedNJi0AAAAAAFieJRe+k9w+yY0Wmb9hktutUzYAAAAAALCOhhS+1+ZWSX41wfUAAAAAAGCwRXt8V9UDkuw0NvToqrrTPKFbJHl8ki/PMwcAAAAAANeYtV3ccuckh/SPZ5I8ur/N59tJnjehvAAAAAAAYFnWVvj+xyRHJFmV5Lwkz01y/JyYmSS/bK39bOLZAQAAAADAQIsWvltrlyS5JEmqauck57bWfnxNJAYAAAAAAMuxth3fv9NaO22+8apana7H92daa/83qcQAAAAAAGA5NlpqYFX9bVWdOGfs6CRnJjklydeq6lYTzg8AAAAAAAZZcuE7yeOTfH/2SVU9qB87JsmLk9wmyfMnmh0AAAAAAAw0pPB9+yTnjj3fM8mFSZ7UWntNkrcn2W1yqQEAAAAAwHBDCt83TPLrsecPSvKx1tpM//ycJFtNKjEAAAAAAFiOIYXvHyb54ySpqtsluUuS8Qtebp7kN5NLDQAAAAAAhttkQOyJSZ5ZVZsk2TFdkfuksfm7Jjl/cqkBAAAAAMBwQwrfL09ytyTPTFf0fm5r7X+SpKo2TbJXksMnniEAAAAAAAyw5MJ3a+2iJA+uqpsk+XVr7bI5IQ9M8oNJJgcAAAAAAEMN2fGdJGmt/XyesV8n+cpEMgIAAAAAgHUwqPBdVRsl2T9dW5M79MPnJflQkqNaa1dONj0AAAAAABhmo6UG9n28P57kXUkemeSm/e2R6Xp7f6yqrr8+kgQAAAAAgKVacuE7yUvS9fF+Q5JbtNZu21q7bZKbJ3l9kp2SvHjiGQIAAAAAwABDWp08LsmxrbXnjw+21i5O8oKqul2SfZK8dIL5AQAAAADAIEN2fG+d5FOLzJ/WxwAAAAAAwAYzZMf3xUnutMj8nfoYxux20PFXPTn6giTJiW/YYwNlAwAAAAAw/Ybs+P5okmdV1cPnTlTVw5I8I8mpk0oMAAAAAACWY8iO75ckeXiSk6vqS0nO7se3T7JDkp8kedlk0wMAAAAAgGGWvOO7tfa9JPdMckySUZJ9+9u2Sd6f5F59DAAAAAAAbDBDdnyntfb9JE+sqlVJbtEP/29rbWbimQEAAAAAwDIMKnzP6gvdP55wLgAAAAAAsM4GF76rau8keyW5Qz90XpIPt9aOnWRiAAAAAACwHEsufFfVDZMcl+RBSVYlubifuleSvavqaUl2b61dOvEsAQAAAABgiZZ8ccskr0ry4CT/nGTL1toWrbUtkmzZj+3cxwAAAAAAwAYzpNXJ45J8oLX23PHB1tp/J3luVW3Vxzx3voMBAAAAAOCaMGTH902SfHKR+U/0MQAAAAAAsMEMKXx/Ncm2i8xvm+Rr65YOAAAAAACsmyGF75ckeWpV7TZ3oqr2SPKUJC+aVGIAAAAAALAcQ3p8PzHJd5McV1Utybn9+HZJKt1u7ydV1ZPGjplprT15IpkCAAAAAMASDCl8HzD2+M79bdzd+tu4mSQK3wAAAAAAXGOWXPhurQ1piwIAAAAAABuEYjYAAAAAAFNF4RsAAAAAgKmi8A0AAAAAwFRR+AYAAAAAYKoofAMAAAAAMFUUvgEAAAAAmCoK3wAAAAAATJVNhh5QVXdMskeSO/RD5yU5vrX2nUkmBgAAAAAAyzGo8F1Vr0hycJKN50y9tqr+vrX2sollBgAAAAAAy7DkVidV9ZdJXpzkjCR7Jtm2v+2Z5PNJXlxVB6yHHAEAAAAAYMmG7Ph+Vrqi906ttcvHxr9TVScn+UySv05yxOTSAwAAAACAYYZc3HK7JMfMKXonSfqxY/oYAAAAAADYYIYUvn+b5EaLzN+4jwEAAAAAgA1mSOH7C0meVlW3mjtRVbdM8lfpWqEAAAAAAMAGM6TH9yuSfDzJuVV1eJJz+vHtk/xFuh3fT5xsegAAAAAAMMySC9+ttU9X1aOTvDnJQXOmv59k/9baZyaZHAAAAAAADDVkx3daaydW1UlJVifZph8+L8kXW2tXTjo5AAAAAAAYalDhO0n6AvcX+hsAAAAAAKwoQy5uCQAAAAAAK57CNwAAAAAAU0XhGwAAAACAqaLwDQAAAADAVFH4BgAAAABgqih8AwAAAAAwVTZZamBV3TvJ3Vtr/zI2tkeSVybZIsmRrbUXTT5FAAAAAABYuiE7vg9Jsvvsk6r6oyTvT3LrJJckeUFV/cVk0wMAAAAAgGGGFL7vnuSzY88fn2RVknu01u6S5D+T/NUEcwMAAAAAgMGGFL5vluR/xp4/PMmnW2s/7J+fkGTbSSUGAAAAAADLMaTwfXGSWyVJVV0vyX2SfHpsfibJppNLDQAAAAAAhlvyxS2TfDnJU6rqY0n2SnL9JKeOzW+Tq+8IBwAAAACAa9yQwvcr0vXxPjNdb++PttbOGpvfNckZE8wNAAAAAAAGW3Lhu7X2X1X1J+l6e1+S5JjZuaq6Wbqi+IeXul5V3TbJUenap8wkeWdr7bCq2iLJvyW5fZLzk+zdWruoqlYlOSzJI5P8KskBrbUv9mvtn+Ql/dKvbK0d2Y+vTnJEuhYsJyf5m9bazFJzBAAAAADg2mfIju+01r6Z5JvzjP80yfMGnvvyJAe11r5YVTdOsqaqPprkgCQfb629pqoOTnJwkhckeUS6i2dum2THJG9LsmNfKD8kyT3TFdDXVNUJrbWL+pinptuJfnKSXZJ8ZGCeAAAAAABciwwqfCdJVd0kyUOS3KEfOi9d25NfDFmntXZhkgv7x7+oqnOTbJVkjyQ79WFHJvlUusL3HkmO6ndsn15Vm1XVbfrYj7bWftbn99Eku1TVp5LcpLV2ej9+VJI9o/ANAAAAADDVBhW+q+opSd6Q5Ebp+nwn3S7rX1bVga21w5eTRFXdPskO6XZm36oviifJf6drhZJ0RfEfjB12QT+22PgF84wDAAAAADDFVs3MLK3ldVXtnuS4dDu8/ynJ2f3U9kn+Ot0O8D1baycOSaCqbpTktCSvaq19qKoubq1tNjZ/UWtt86r6jySvaa19th//eLqd4DsluX5r7ZX9+EuT/DrdTvHXtNYe0o/fP8kLWmu7LpbPmjVrZpLk0KMvuNr4oU/Y+vdi58bMF7eUGAAAAAAAhlu9evWqeSdmZmaWdBuNRp8djUZnj0ajG80zd+N+7rNLXa8/7jqj0ejU0Wh04NhYG41Gt+kf32Y0GrX+8TtGo9E+c+NGo9E+o9HoHWPj7+jHbjMajb4xNn61uIVuZ5111szMzMzMrgced7XbfObGzBe3lJhZs+dezFJiJrmWGDEr5Xxi/jBjVmJOYqYvZiXmJOYPM2Yl5iRm+mJWYk5ipi9mJeYkZvpiVmJOYqYvZiXmJGbesXnrvBsNKJ7fPckRrbVfzp3o+3sf2ccsSVWtSnJ4knNba28cmzohyf794/2THD82vl9Vraqq+yS5pG+JcmqSh1XV5lW1eZKHJTm1n/t5Vd2nP9d+Y2sBAAAAADClhvT4nn/L+FWW1jPlKvdLsm+Sr1XVl/uxFyV5TZJjq+rJSb6XZO9+7uQkj0zy7SS/SvIXSdJa+1lVvSLJF/q4l89e6DLJM5MckWTTdBe1dGFLAAAAAIApN6Tw/ZUkB1TVW1trl45P9H26D+hjlqTv1b1QMf3B88TPJHnWAmu9O8m75xk/K8ldl5oTAAAAAADXfkMK369L8qEkX6yqf0pyTj8+e3HLOyV59GTTAwAAAACAYZZc+G6tHVdVz07yD0n+OVe1NlmV5NIkz26t6aENAAAAAMAGNWTHd1prb62qo5M8NMk2/fB5ST7aWrtk0skBAAAAAMBQSy58V9UfJfnf1trFST4wz/ymSW7RWvv+BPMDAAAAAIBBNhoQ+90key0yv3sfAwAAAAAAG8yQwveqJaw1s5YYAAAAAABYr4YUvpPFC9vbJbl4HXIBAAAAAIB1tmiP76raP8n+Y0MvqaqnzhO6RZK7JvnwBHMDAAAAAIDB1nZxy82SbNM/nklyiyQ3mBMzk+SXSd6d5MUTzQ4AAAAAAAZatPDdWjssyWFJUlVXJnlua+3oayIxAAAAAABYjrXt+P6d1trQfuAAAAAAAHCNW3Lhu6o2TnK91tqvxsY2S/LkdD2+j2mtfW3yKQIAAAAAwNIN2cX9jiRnzj6pqusk+WyS1yV5YZIzq+oek00PAAAAAACGGVL4/rMkJ4w9f2ySuyR5VpI/TfI/SQ6eXGoAAAAAADDckludJLlNku+OPX9UkrNba29Lkqp6Z5KnTTA3AAAAAAAYbMiO71VJNh57vlOST449vzDJLSeQEwAAAAAALNuQwvd3kzw8Sarqful2gI8XvrdMcsnkUgMAAAAAgOGGtDp5T5I3VtXXk2yV5MdJTh2b3zHJNyaYGwAAAAAADDZkx/dhSQ5J8pskX0qyV2vtV0lSVTdLcp8kJ088QwAAAAAAGGDJO75bazNJXtHf5s79NPp7AwAAAACwAgzZ8Q0AAAAAACvegju+q2q//uF7W2szY88X1Vo7aiKZAQAAAADAMizW6uSIJDNJjkny27HnqxY5ZiaJwjcAAAAAABvMYoXvnZOktfbb8ecAAAAAALCSLVj4bq2dtthzAAAAAABYiZZ8ccuq2r2qNl6fyQAAAAAAwLpacuE7yXFJflRVb6qqHdZXQgAAAAAAsC6GFL6fkeTbSf4myVlV9dWqOqiqbr1+UgMAAAAAgOGWXPhurb2jtXa/JHdK8sokN0jyuiQ/qKqTqmrvqrreesoTAAAAAACWZMGLWy6ktXZekkOSHFJV90+yX5LHJtklySVJtphohgAAAAAAMMCQVie/p7X2mXStTw5O8oskN51EUgAAAAAAsFyDd3zPqqqHpNvtvVe6tic/S/KWCeUFAAAAAADLMqjwXVXbJdk/yROTbJnk8iQnJzkyyUmttcsmniHw/9m78zDZrrJe/N8TAsooM4ZBAki/ilxRgswiKCBTCCrzZUYckJ8oEQFFCZMXlKgIyBxC0DDoFZIACoGLDCqShEHD8CpEkCCKMkZAIKF/f+zdSZ063V27zumT7nQ+n+fpp3uvvXrXW1W71l7rrVWrAAAAAIAlTE58V9XpSX44yZ4kZyR5dpJXd/fnD1JsAAAAAACwtGVmfB+W5DlJXtndHzlI8QAAAAAAwAFZJvF9ne7+9kGLBAAAAAAAtsAhUytKegMAAAAAcFEwOfENAAAAAAAXBRLfAAAAAADsKhLfAAAAAADsKst8uSUHyZFHn3TBxolnJ0lOOfaobYoGAAAAAOCizYxvAAAAAAB2lckzvqvqKkmu3t0fnSm7XpLHJblykhO6+y1bHyIAAAAAAEy3zIzv5yZ55dpGVV0uybuT/FKSByR5U1XdbmvDAwAAAACA5SyT+L5VkjfPbN8vyTWT3G38/dEkv751oQEAAAAAwPKWSXxfI8mnZ7bvmuT07v6r7v73JMcn+eEtjA0AAAAAAJa2TOL7W0kuPbP9Y0neObP9pSRX2YqgAAAAAABgf03+cssk/5TkZ6rqBUmOzPCFlm+f2X+dJF/YwtgAAAAAAGBpyyS+X5BhOZMvJrlMkrOyd+L7R5P845ZFBgAAAAAA+2HyUifdfUKSh2ZIdv9Jkrt297eSpKqukuSKSV53MIIEAAAAAICplpnxne5+VZJXrVP++SRHbFVQAAAAAACwv5ZKfK8ZZ3hfb9z8lzHxDQAAAAAA226pxHdV3STJHyW57Vz5u5P8cnf/wxbGBgAAAAAAS5uc+K6qGyd5T5LvTHJSkg+Pu34gyZFJ3l1Vt+7uD29wCAAAAAAAOOiWmfH9tCTfSnKb+ZndY1L8XWOdn9m68AAAAAAAYDmHLFH3dklesN5yJt19ZpI/TvJjWxUYAAAAAADsj2US35dN8u+b7P/sWAcAAAAAALbNMonvs5LcY5P99xjrAAAAAADAtllmje8TkvyfqjoxyTOTfGws//4kT0py5yRP3NrwAAAAAABgOcskvp+T5KZJ7p/kfkm+PZYfkmRPktclOXZLowMAAAAAgCVNTnx393lJ7ldVL0tyryTXG3edleQN3f22gxAfAAAAAAAsZZkZ30mS7j41yakHIRY2ceTRJ12wceLZSZJTjj1qm6IBAAAAANi5lk58z6uqI5JcOcm7u/t/DjwkAAAAAADYf4dMrVhVv1ZVp8yVnZjkfUn+Ksk/VtU1tjg+AAAAAABYyuTEd4YvtfzXtY2q+vGx7DVJfjPJYUl+fUujAwAAAACAJS2T+D48yUdntu+V5LNJHtTdz0ryoiRHbl1oAAAAAACwvGUS35dN8vWZ7R9P8rbuXh23P5LkWlsVGAAAAAAA7I9lEt+fSfK/kqSqrpvkRkneObP/Skm+sXWhAQAAAADA8g5dou4pSR5dVYcmuUWGJPebZvbfOMknty40AAAAAABY3jKJ76cl+cEkj86Q9P6V7v6PJKmqSyf5qSQv3/IIAQAAAABgCZMT3939xSQ/UVVXSPL17v7WXJUfS/LpqcerquOS3CPJ57r7xmPZMUkeleQ/x2q/0d1vHvc9Kckjk5yX5Je7+y1j+V2SPDfJJZK8bPyizVTV9ZK8JslVkpyR5MHd/c2p8QEAAAAAcNG0zIzvJEl3f2Wdsq8n+dCShzo+yfOTnDBX/gfd/ZzZgqq6UZL7J/mBJNdM8raqWhl3vyDJnZKcneS0qjq5uz+S5NnjsV5TVS/KkDR/4ZIxAgAAAABwEbNh4ruqvidJuvtfZ7cXWas/od67qurwKXWTHJXkNd39jST/UlUfT3Lzcd/Hu/usMcbXJDmqqj6a5MeTPHCs88okx0TiGwAAAABg19uzurq67o6q+naSbye5THd/c9xev/KM7r7E1BsfE99vnFvq5GFJvpLk9CRHd/cXq+r5Sd7b3X8y1nt5kr8cD3OX7v7ZsfzBGb5485ix/veO5ddJ8pdrt7OZM844YzVJjjnx7L3Kj3ngtfepO19nvXoXZh0AAAAAgIuTI444Ys+6O1ZXV9f9WVlZOWZlZeUpKysrh8xtb/qz0fE2uI3DV1ZWzpzZvsbKysolVlZWDllZWXnmysrKcWP581dWVh40U+/lKysr9x5/XjZT/uCx7lVXVlY+PlN+ndnb2ezn9NNPX11dXV29x+PesNfPeubrrFfvwqwza+1+qKPOwaqzE2NSZ/fV2YkxqbP76uzEmNS5eNbZiTGps/vq7MSY1Nl9dXZiTOrsvjo7MSZ1dl+dnRiTOuuWrZvn3XCpk+4+ZrPtg6G7/2Pt76p6aZI3jpufSXKdmarXHsuyQfnnk1yxqg7t7nPn6gMAAAAAsIsdMrViVV3lYAYy3sZhM5s/leTM8e+Tk9y/qr6jqq6X5IZJ3pfktCQ3rKrrVdWlMnwB5sndvZrkHUnuPf7/Q5OcdLDjBwAAAABg+20443sd/1ZVb8rwRZFvGmdS77eqenWS2ye5alWdneQpSW5fVT+UYS3xTyb5+STp7g9X1euSfCTJuUl+qbvPG4/zmCRvSXKJJMd194fHm3hCktdU1TOSfCDJyw8kXgAAAAAALhqWSXz/RZJ7JjkqyRfGxPUJ3X36/txwdz9gneINk9Pd/cwkz1yn/M1J3rxO+VlJbr4/sQEAAAAAcNE1eamTMVH93Ul+LsPM619K8vdV9eGqenxVXfMgxQgAAAAAAJNNTnwnSXef090v7+4fS3L9JMckuWSSZyf5VFX91daHCAAAAAAA0y2V+J7V3Z/q7qd390qS/53kq0nutGWRAQAAAADAflhmje+9VNXlktw3yUOS3DZDEv3MLYoLAAAAAAD2y1KJ76rak+QnMyS7j0py6ST/leT5SV7Z3R/Y8ggBAAAAAGAJkxPfVfWcJA9Mco0k30ryxiQnJHlzd597cMIDAAAAAIDlLDPj+3FJTkvyjCSv7u4vHpyQAAAAAABg/y2T+L5Rd3/soEUCAAAAAABb4JCpFSW9AQAAAAC4KFjqyy2TpKpuluQWSa6UfRPnq9399K0IDAAAAAAA9scyX2556SR/keTOSfYkWR1/Z+bv1SQS3wAAAAAAbJvJS50k+e0MSe9nJrlDhkT3Q5PcNcm7M3zx5Y22OkAAAAAAAFjGMonveyf5s+7+7SRnjmWf6e63JLljkksledjWhgcAAAAAAMtZJvF9nSTvHP8+b/x9qSTp7nOTvDrJ/bcuNAAAAAAAWN4yie9zcsGa4Ock+XaSa87s/3KS796iuAAAAAAAYL8sk/j+RJKVJOnu85J8OMPyJ6mqPUl+OsmntzpAAAAAAABYxjKJ77cl+ZmqusS4/eIkd6mqTyT55wzrfL98i+MDAAAAAIClLJP4flaSOyTZkyTd/cdJfi3DEidfTPIbSX53qwMEAAAAAIBlHLq4yqC7/ztJz5X9fpLf3+qgAAAAAABgfy0z4xsAAAAAAHY8iW8AAAAAAHYViW8AAAAAAHYViW8AAAAAAHYViW8AAAAAAHYViW8AAAAAAHaVQ/fnn6rqe5NcI8mZ3f3lrQ0JAAAAAAD231KJ76q6R5LnJjl8LLpTkv9XVVdP8rdJntjdf76lEQIAAAAAwBImL3VSVbdP8vokX0jy1CR71vZ19+eSfCLJ/bc4PgAAAAAAWMoya3z/dpIPJblFkhess//vktx0K4ICAAAAAID9tUzi+0eS/Gl3f3uD/Wcn+e4DDwkAAAAAAPbfMmt8H5LkG5vsv2qSbx5YOByII48+ae+CE8/OKccetT3BAAAAAABsk2VmfH80yY9usv8eGZZCAQAAAACAbbPMjO+XJ/mjqnpbkpPHstWqukySZyW5VZKHbHF8AAAAAACwlMkzvrv7hUlem+SlSf45yWqSVyf5cpLHJDm+u//0YAQJAAAAAABTLbPUSbr7QUl+Jsnbk3wsyReSvDnJfbr7kVsfHgAAAAAALGeZpU6SJN39+iSvPwixAAAAAADAAVtqxjcAAAAAAOx0G874rqrf3o/jrXb30w8gHgAAAAAAOCCbLXVyzDplq+PvPeuU7xl/S3wDAAAAALBtNkt8X29u+3JJTkhybpI/SPKRsfwHkvxqhmVTHrLVAQIAAAAAwDI2THx396dmt6vqj5J8I8ntuvvcmV3/UFV/nuRdSX4hyS8fjEABAAAAAGCKZb7c8r5JXjOX9E6SdPe3krwmyX22KjAAAAAAANgfyyS+r5DkuzbZf8UF+wEAAAAA4KBbJvH9gSSPqaobzO+oqu9N8ktJ3r9VgQEAAAAAwP7Y7Mst5z0hyalJPlxVb0jSY/n3JTkqyWqSJ25teAAAAAAAsJzJie/ufk9V3T7JH2RY73vWe5M8rrvfu4WxAQAAAADA0paZ8Z3u/vskt66qqyW5/lj8L939uS2PDAAAAAAA9sNSie813f2fSf5zi2MBAAAAAIADtsyXWwIAAAAAwI4n8Q0AAAAAwK4i8Q0AAAAAwK4i8Q0AAAAAwK4i8Q0AAAAAwK4i8Q0AAAAAwK5y6EY7quoh+3PA7j5h/8MBAAAAAIADs2HiO8nxSVaT7JkpW535e886ZUki8Q0AAAAAwLbZLPF9h7ntSyZ5dpKrJHlRko+M5T+Q5OeT/FeSJ2x1gAAAAAAAsIwNE9/d/c7Z7ap6WpLvTLE8yHEAACAASURBVPK/uvucmV0nV9ULkrw3yY8mefvBCBQAAAAAAKZY5sstH5bkFXNJ7yRJd38lySuSPHyL4gIAAAAAgP2yTOL7akkuscn+SyS5+oGFAwAAAAAAB2aZxPfHkjyqqq40v6OqrpzkUUk+ulWBAQAAAADA/tjsyy3nHZPkL5J0VR2XpMfy78uwxMmVk9x7S6MDAAAAAIAlTU58d/dJVXXvJM9N8utzu89Ocr/ufsNWBgcAAAAAAMtaZsZ3uvv1VXVSkiOSXH8sPivJGd397a0ODgAAAAAAlrVU4jtJxgT3aeMPAAAAAADsKMt8uSUAAAAAAOx4S834rqrbJHlSklskuVKSPXNVVrt76VnkAAAAAACwVSbP+K6q2yV5R4ak99+P//uODEue7ElyZpJXHYQYAQAAAABgsmWWOvnNJJ9NcqMkDxvLfqe7b5nkLkmul+RlWxodAAAAAAAsaZllSW6e5Pe7+z+r6spj2SFJ0t1vrapXJXl6kh+fcrCqOi7JPZJ8rrtvPJZdOclrkxye5JNJ7tvdX6yqPUmem+RuSb6W5GHd/f7xfx6a5MnjYZ/R3a8cy49IcnySSyd5c5LHdvfqEvcXAAAAAICLoGVmfH9Hks+Mf39j/H35mf0fTHLEEsc7PsNM8VlPTPL27r5hkreP20ly1yQ3HH9+LskLk/MT5U/JsPzKzZM8paquNP7PC5M8aub/5m8LAAAAAIBdaJnE92eTXDtJuvurSb6U5MYz+6+d5NypB+vudyX5wlzxUUleOf79yiT3mik/obtXu/u9Sa5YVYcl+ckkp3b3F7r7i0lOTXKXcd8Vuvu94yzvE2aOBQAAAADALrbMUienJbnNzPZbk/xqVX0qQwL9MRm+9PJAXKO7Pzv+/e9JrjH+fa0kn56pd/ZYtln52euUAwAAAACwy+1ZXZ227HVV3SnDl1r+bHd/vaqun+TdSQ4bq/x7kjt395lTb7yqDk/yxpk1vr/U3Vec2f/F7r5SVb0xybO6+z1j+duTPCHJ7ZN8Z3c/Yyz/rSRfT/LXY/07juU/muQJ3X2PRTGdccYZq0lyzIln71V+zAOvvU/d+Trr1dtpdQAAAAAAdosjjjhiz7o7VldX9/tnZWXlsisrK/dcWVm5+8rKynftx/8fvrKycubMdq+srBw2/n3YyspKj3+/eGVl5QHz9VZWVh6wsrLy4pnyF49lh62srHxspnyvepv9nH766aurq6ur93jcG/b6Wc98nfXq7bQ6s9buqzrq7E+dnRiTOruvzk6MSZ3dV2cnxqTOxbPOToxJnd1XZyfGpM7uq7MTY1Jn99XZiTGps/vq7MSY1Fm3bN087zJLnexjXOv75AM5xpyTkzw0ybPG3yfNlD+mql6T4Yssv9zdn62qtyT5nZkvtLxzkid19xeq6itVdcsMy688JMnztjBOAAAAAAB2qANKfB+Iqnp1hqVKrlpVZyd5SoaE9+uq6pFJPpXkvmP1Nye5W5KPJ/lakocnyZjgfnqG9ceT5GndvfaFmY9OcnySSyf5y/EHAAAAAIBdbsPEd1WdtR/HW+3uG0yp2N0P2GDXT6xTdzXJL21wnOOSHLdO+elJbjwlFgAAAAAAdo/NZnz/a5L5b768dpIbJPlKkrXE+PWTXCHJJ5Ls++2KAAAAAABwIdow8d3dt5/drqqbJnlbkl9J8qLu/uZYfqkMy4r8VpL7HbRIAQAAAABggmXW+H5Oktd19x/NFo4J8D+squ9P8ntZZ6kSAAAAAAC4sByyRN2bJ/ngJvs/MNYBAAAAAIBts0zi++tJbrHJ/lsl+Z8DCwcAAAAAAA7MMkudvCHJI6rqX5L8fnf/d5JU1eWSHJ3kQUmO2/oQAQAAAABgumUS349PcpMkxyR5clV9diw/bDzO+8c6AAAAAACwbSYnvrv7S1V16ySPSHJUkuuPu05NclKSV3T3t7Y+RLbSkUeftHfBiWfnlGOP2p5gAAAAAAAOgmVmfKe7z03ykvEHAAAAAAB2nGW+3BIAAAAAAHa8DWd8V9VDxj9f1d2rM9ub6u4TtiQyAAAAAADYD5stdXJ8ktUkr0nyzZntPZv8z2oSiW8AAAAAALbNZonvOyRJd39zdhsAAAAAAHayDRPf3f3OzbYBAAAAAGAnmvzlllV1XFXdYpP9N6+q47YmLAAAAAAA2D+TE99JHpbkBpvsv16Shx5QNAAAAAAAcICWSXwvctkk39rC4wEAAAAAwNI2+3LLVNX3JDl8puj7qup261S9cpJfTPLxrQsNAAAAAACWt2niO8nDkzwlyer485vjz7w9Sb491gcAAAAAgG2zKPH9hiSfzJDYPi7JS5L83Vyd1ST/neS07v70VgcIAAAAAADL2DTx3d0fSvKhJKmq6yb5v9195oURGAAAAAAA7I9FM77P191PPZiBAAAAAADAVpic+E6SqtqT5I5JbpjkKhmWQJm12t1P36LYAAAAAABgaZMT31V1wwxrfn9f9k14r1lNIvENAAAAAMC2WWbG9/OS3CDJE5L8vySfPygRAQAAAADAAVgm8f2jSf6wu59zsIIBAAAAAIADdcgSdb+R5F8OViAAAAAAALAVlkl8vyXJbQ5WIAAAAAAAsBWWSXw/LsmtquroqrrUwQoIAAAAAAAOxDJrfP9Nkssm+d0kz6qqf0ty3lyd1e6+wVYFBwAAAAAAy1om8f2vSVYPViAAAAAAALAVJie+u/v2BzEOAAAAAADYEsus8Q0AAAAAADuexDcAAAAAALvKMmt8p6puk+RJSW6R5EpJ9sxVWe3upY4JAAAAAABbafKM76q6XZJ3ZEh6//34v+9IclqGBPiZSV51EGIEAAAAAIDJllnq5DeTfDbJjZI8bCz7ne6+ZZK7JLlekpdtaXQAAAAAALCkZRLfN0/ysu7+zyTfnv3/7n5rhtneT9/a8AAAAAAAYDnLJL6/I8lnxr+/Mf6+/Mz+DyY5YiuCAgAAAACA/bVM4vuzSa6dJN391SRfSnLjmf3XTnLu1oUGAAAAAADLO3SJuqcluc3M9luT/GpVfSpDAv0xGb70EgAAAAAAts0yM75fnuS/qurS4/ZvJPl6kuOTHJdh+ZNf39LoAAAAAABgSZNnfHf3qUlOndk+q6pWkvxEkvOSvKe7v7z1IQIAAAAAwHTLLHWyj3Gt75O3KBYAAAAAADhgmya+q+oSSZ6Z5JPd/aJN6v1ikusk+c3uXt3aELmwHXn0SXsXnHh2Tjn2qO0JBgAAAABgSYvW+H5Qksdn+GLLzbwvyROSPGArggIAAAAAgP21KPF93yRv6+4zNqs07n9LJL4BAAAAANhmixLfRyR528RjvSPJzQ4sHAAAAAAAODCLEt9XTvK5icf6z7E+AAAAAABsm0WJ73OSXHXisa6S5L8PLBwAAAAAADgwixLfH05y54nHutNYHwAAAAAAts2ixPdfJLljVR21WaWqumeGxPf/3arAAAAAAABgfyxKfL84yceTvK6qnllVh8/urKrDq+oZSV6X5J/G+gAAAAAAsG0O3Wxnd3+9qu6e5I1JnpTkiVX1lQxrf18+yRWS7EnSSe7R3f9zkOMFAAAAAIBNLZrxne7+eJIfSvLYJO9Jcl6S7x5/v3ssv2l3f+IgxgkAAAAAAJNsOuN7zTiT+3njDwAAAAAA7FgLZ3wDAAAAAMBFyaQZ3zDvyKNP2rvgxLNzyrFHbU8wAAAAAAAzzPgGAAAAAGBXkfgGAAAAAGBXkfgGAAAAAGBXkfgGAAAAAGBXkfgGAAAAAGBXkfgGAAAAAGBXkfgGAAAAAGBXkfgGAAAAAGBXkfgGAAAAAGBXkfgGAAAAAGBXkfgGAAAAAGBXOXS7A1hPVX0yyTlJzktybnffrKqunOS1SQ5P8skk9+3uL1bVniTPTXK3JF9L8rDufv94nIcmefJ42Gd09ysvxLsBAAAAAMA22JGJ79Eduvu/ZrafmOTt3f2sqnriuP2EJHdNcsPx5xZJXpjkFmOi/ClJbpZkNckZVXVyd3/xwrwTF2dHHn3S3gUnnp1Tjj1qe4IBAAAAAC42LkpLnRyVZG3G9iuT3Gum/ITuXu3u9ya5YlUdluQnk5za3V8Yk92nJrnLhR00AAAAAAAXrp2a+F5N8taqOqOqfm4su0Z3f3b8+9+TXGP8+1pJPj3zv2ePZRuVAwAAAACwi+1ZXV3d7hj2UVXX6u7PVNXVM8zU/v+SnNzdV5yp88XuvlJVvTHJs7r7PWP52zMsgXL7JN/Z3c8Yy38ryde7+zmb3fYZZ5yxmiTHnHj2XuXHPPDa+9Sdr7NePXU2rwMAAAAAsL+OOOKIPevuWF1d3dE/Kysrx6ysrPzayspKr6ysHDaWHbaystLj3y9eWVl5wEz9Hvc/YGVl5cUz5XvV2+jn9NNPX11dXV29x+PesNfPeubrrFdPncWP45q1x16di0adnRiTOruvzk6MSZ3dV2cnxqTOxbPOToxJnd1XZyfGpM7uq7MTY1Jn99XZiTGps/vq7MSY1Fm3bN08745b6qSqLltVl1/7O8mdk5yZ5OQkDx2rPTTJ2jcnnpzkIVW1p6pumeTL45Iob0ly56q6UlVdaTzOWy7EuwIAAAAAwDbYcYnvDGt3v6eqPpTkfUne1N1/leRZSe5UVf+c5I7jdpK8OclZST6e5KVJHp0k3f2FJE9Pctr487SxDAAAAACAXezQ7Q5gXnefleQm65R/PslPrFO+muSXNjjWcUmO2+oYAQAAAADYuXZc4puLnyOPPumCjRPPzinHHrV9wQAAAAAAF3k7cakTAAAAAADYbxLfAAAAAADsKhLfAAAAAADsKhLfAAAAAADsKhLfAAAAAADsKhLfAAAAAADsKhLfAAAAAADsKhLfAAAAAADsKodudwAwxZFHn3TBxoln55Rjj9q+YAAAAACAHc2MbwAAAAAAdhUzvtk1zAoHAAAAABIzvgEAAAAA2GUkvgEAAAAA2FUkvgEAAAAA2FUkvgEAAAAA2FV8uSUXK1O+ANOXZAIAAADARZsZ3wAAAAAA7CoS3wAAAAAA7CoS3wAAAAAA7CrW+Ib9YB1wAAAAANi5zPgGAAAAAGBXkfgGAAAAAGBXkfgGAAAAAGBXscY3HCTWAQcAAACA7WHGNwAAAAAAu4oZ37CNzAoHAAAAgK0n8Q073HxyPIkEOQAAAABswlInAAAAAADsKhLfAAAAAADsKhLfAAAAAADsKtb4hl3AOuAAAAAAcAEzvgEAAAAA2FXM+IaLCbPCAQAAALi4MOMbAAAAAIBdReIbAAAAAIBdReIbAAAAAIBdxRrfwPmsAw4AAADAbmDGNwAAAAAAu4oZ38BS9poVniQnnm1WOAAAAAA7isQ3sOUkxwEAAADYThLfwLaQHAcAAADgYLHGNwAAAAAAu4oZ38COZVY4AAAAAPtD4hu4SJMcBwAAAGCepU4AAAAAANhVzPgGLhb2mhm+wazwKXUAAAAA2PkkvgGWIDkOAAAAsPNJfANsMbPLAQAAALaXxDfADiU5DgAAALB/fLklAAAAAAC7isQ3AAAAAAC7iqVOAC7Ctmo98fk6SSytAgAAAFxkmfENAAAAAMCuYsY3AJNMmRVu5jgAAACwE0h8A3ChkhwHAAAADjZLnQAAAAAAsKuY8Q3AjrPXrPBkwy/lBAAAAFiPxDcAF0mS4wAAAMBGJL4B2LWmJMcl0AEAAGD3kfgGgAWmJsfnv7jzYNYBAAAANibxDQAXQRdmkl0iHgAAgIsaiW8A4IDtTwI9yeZLz1yYdTaI+8KsAwAAwNaR+AYA2AF24pI6ZvsDAAAXVRLfAADsN8lxAABgJ5L4BgDgoDK7HAAAuLBJfAMAcJFwkV9LfoM6AADA1pP4BgCAbbQTv2jVDHwAAC7qJL4BAIClWcIGAICdTOIbAADYNluVQN/OOoklbAAAdppdn/iuqrskeW6SSyR5WXc/a5tDAgAAdrmdtpa8JXUAgIubXZ34rqpLJHlBkjslOTvJaVV1cnd/ZHsjAwAAYJGdPtt/uz9ZsNPqAMBOsqsT30lunuTj3X1WklTVa5IclUTiGwAAALbQRfWTBepcUCfxpgewe+z2xPe1knx6ZvvsJLfYplgAAAAAdh1LN+3sNzR2Wp1k53+CZaedZxf2ubhb7FldXd3uGA6aqrp3krt098+O2w9OcovufsxG/3PGGWfs3gcEAAAAAGAXOeKII/asV77bZ3x/Jsl1ZravPZZtaKMHCgAAAACAi4bdnvg+LckNq+p6GRLe90/ywO0NCQAAAACAg+mQ7Q7gYOruc5M8Jslbknw0yeu6+8PbGxUAAAAAAAfTrl7jGwAAAACAi59dPeMbAAAAAICLH4lvAAAAAAB2FYnvi4mqOqSq7rvdcQAsY2y7rrDdcVxYxi9jXli2Rbd1lYNx3O1UVZeoqudsdxwwq6ouM7Henqq67MGO56Ls4nZNWFNVl66qS293HMDWubi2Z7A/xj7+r253HFw0WeN7E1V1SJLLdfdXtjGGayT5nSTX7O67VtWNktyqu1++H8c6vbtvtgUx/fI6xV9OckZ3n3mgx9+PeL4jyc8kOTzJoWvl3f20mTqXTfL17v52Va0k+b4kf9nd37qQw92R8UxRVb+b5BlJvp7kr5L8YJJf7e4/Wafu3ZLcbtx8Z3f/5RbHckqSDRuv7r7nVt7e3G1fpru/drCOvz+q6kpJrtPd/3CQjn/pJL+S5Lrd/QtV9b1Jbjj7vFbVTyc5tbvPqaonJrlpkt/p7g9uctx129iqOjHJLyQ5L8lpSa6Q5Lnd/Xtbfd8ubFV1rSTXzd5t1btm9r+/u2869z9ndPcRS97OlHbxn5N8MMkrMrQ/S3UIqupxm+3v7t9f5njjMRfGPeEY7+3uWy5727vFxOf+2kmel+S2GdrSdyd5bHefPVPnO5M8MskPJPnOmeM8YqbODZKc3d3fqKrbZ7gunNDdX5qL6f5JbtDdz6yq6yS5enefMbP/0CQ/l5nrRpKXjl9SvlbnPkn+amxjnpyhjXlGd79/ycdn8rVsrL9h+1pV183QFr5tbCcP7e5zZvbfOsnLMrRz31NVN0ny89396Jk6J2T4IvZzk7wvyVWS/N7866eqHpvhtXrOeMwfTvLE7n7rMvd/iinP/cTjLHxeJx5nw2vCVrdDU/pnVXXJJL+Yve/Xi+b7cFPrLYjnB5Icn+SwJHuSnJ3k4d39kWXu13isqyV5QpIbZe/n9cfn6l0jyY+Mm+/r7s+tc6y7Z9/zY7aN2bAdGs/lc7r7uLljPiLJZbv7eXPlV0pyw7nbeleWUFWfyPC6etFM2Ru7+x5z9Ra9pqecH5Paxa2wQX/4y0lOT/Li7v6ficeZPC6pqhtn33PohJn9k9rqqrrUeDurwyH6m1NiHf/3edl8HLDeWHXRMW+dfc/XEzb8h/WPcZskH+zur1bVgzLc9+d296dm6uyoPu5mMR+kx/n7su/5c+LykR+YKWPJcWyzoe7+iyVv84DahmWej2Wv4xv1dcY37o9O8j3d/aiqumGS6u43ztSZ+pqfcm1Z1L68r7tvvtFjUFV3SPL/Jamx6KNJnt/df73R/2xwnCtvtr+7v7DM8cZjHvC1bDzOpo/Rdqiqq2fveP514v9daDmdQxdXuXhZ72JUVftcjBYlLxbVq6qbztedNdNQHJ9hoPOb4/Y/JXltkqUT30neVlW/Nv7/V2du6/wX7tggPzP7vphWZo5z6wyN1lqDd7ck/5DksVX1p919bFXdMsOg+vuTXCrJJZJ8tbuvsGxDMqGROClj4j3JNzY47LuS/Oh4rLdmeG7vl+R/j7exbEz7NDhJHp/1X7h7kqx29w9OjWfmdta74H45yT/OXiymNqSbDVQmDKrv3N2/XlU/leSTSX56vB97JQuq6plJbpNkrRPz+Kq6TXc/ea7ewgHhRh2EJJNndG52MV7meZ9NYCTZKIExNQm04eBzakxV9ddJ7pmhbTkjyeeq6m+6+3Hj/skXknGQ8/js21atDYaPS/KPGZJkSfJvSf4syewbGsd091+Mj9Pdkhyb5EVJ9kpATmxjb9TdX6mq/z3exhPH+/h7M8e5WpJHZd9Byj4dukXt9Tj4Wrlg17oDvYVt/qLHsaqeneF1/pHx/ifDc/SucSDwA0m+a+51f4Xs3c5MTV5MaRdXktwxySOS/FFVvS7J8d39T+tVnu/UJLn8Bsdd18SB9cK4x073/8m+9//6458fqKqTM5yjs9e6dQco42v5R8fNd3f3h+b2T00WbTpoXtTmbVWyMdOe+1dkaKPvM24/aCy700ydVyX5WJKfTPK0DNenj84d5/8muVkNb4a9ZLztEzO0ARnv1/OTXDLD/X5mhufkRblg8JMkL0hy2QxtzVo8P5whabrmt7r7z6rqthnO299L8sIktxhv5x8z7Rq88Fq2qH0d6zxqjO/KSW6Q5Nrj/fqJmdv+g/HxOzlJuvtDVXW77O0Hx/bugUlOzXCunZ5kPmH7iO5+blX9ZJIrJXlwhudor8T3+Np6YZJrdPeNq+oHx/vyhAWPz+yswynP/V42GDRPeV6nJIs2uyYs2w4tunZM6Z+9MMM5/cfj9oPHsp+du7mF9Sb0vV6c5De6+9Sx/h0zvNbWrsdrx5nyhs6fZhgD3D3DdfihSf5z7jj3zfC4/nWGc+N5VfX47v7zmTovSnKZJHcYY753hjdtZm3WDj04w1hi3p9kOPfPT3xX1c8meWyG19cHM/Qp/i7Jj6/z/5v5VpI7VNUtMvTdvpnkWrMVJr6mp5wfU9rFDcdJM3V+Osmzk1w9w3Ox3mv1rCRXS/Lqcft+Gc6llSQvzfBYTzF1XPKUJLfPcD18c5K7JnlPhr75mk3b6vE4d8/w2H5ivF/Xq6qf770nVGx2rT994v1aO9am/Y+qelWG5/yD2bt/dsLccRaNt16Y5CZjv+LoDK+PE5L82EydhX3c8ba+K8kxuaB/8s4kT+vuL4/7F47Zq+qoJM9Kcs1sfA5tFvPa43yb8XZeO27fJ0Nfdi+14E31cRx25wyP/1syXGPekwvGjGvH2bA9WzZRVhu8CZdpY8kjN9m3mmSvfuWEftzCtmGBZc77hdfxKX2dDNenM5Lcatz+TIb+9Rtn6kx5zU+5tkxpX/5m7FfO57PeP7Yrzx/v71PH27lpkuOq6jHd/eaZ2zonG79peHSSt4/792Rfq0muP1tQVY/t7uduVDb1WraoPzTxMVo71qR85WYW9S2q6p4ZxvzXTPK58fY+muE1MH+sfdrPLJfTmTQe24jE976mJFw2TF7MHmhBvWM3iWE1F7wIrtrdr6uqJyVJd59bVeet908TkgH3G3//0txtzb5wj89wcj8nwwvp4dm3UTgsyQ/1OANivIi9McNF7vTxvj0/yf0zNIw3S/KQXJBYOiMXNCTfk+SL499XTPKvSc7/WP/ERuLa3X2X9R6TGXu6+2tV9cgkf9zdv1tVszNRZ2Oat9djtEmDc491/nd/41nzyAwXmneM27cfY71eVT2tu1+1REO6aKCyaFC91l7cPcmfdfeXqyrrODLJD3f3eePtHpfk/UmePFdvysBx3Q5Cd0/tICSbX4wnn4uZlsCY2qHZbPA5NabvGtuqn82QXH9KVc0mHNYuJD+d5LtzQVLnAUn+Yy6eP8swAHlpLmirZt2wux9Qw5sIGc/d+dfK2v/dI8Mso5Oq6ph1jjWlw3/JMUl4rwzv0n+rqubboZMydKjftkHMSRa31zW8QfHKDAmwPUmuU1UPnUuMT2rzs/hxvFeGWRLrJSMrw2N3xezd0T4nQ5Jm1sLkRSa0iz3M8D41yak1zJD4kySPrqoPZUi8/F2ycaemu/fp1CwwZWA9pT1/RZKnZHhN3iHDdWp26bbvTPL57N0G7jNASc5POj1qZt+fVNVLeu8Zh1OSRVMGzYvavEnJxgkJkymP4dW6+xUz28dX1a/M1fne7r5PVR3V3a+s4U2rd8/V+fbYL/mpJM/r7udV1Qfm6ty6u2+6Vt7dX6jhzaZZt+zum8xsv3U8D2etPa53T/KS7n5TVT1jZv/Ua/CUa9mi9jUZ+lI3T/L34/365xreHNpLd3967vjzbcMla5gZfVSSF3b3N6vq2+vEvdbm3i3Jq7r7w+u0w8nQ/jw+Q8I03f0PVXVidy+TIJ7y3E8ZNE95XpPFyaINrwnd/dQl7ley+NoxpX/2I3P36/9tcL+m1FvU97r8WtI7SXqYibzeGGLK5ISrdPfLx8H4O5O8s6pOmzvOb45xfy45f6D5tiR/PlPn1t39g1X1D9391DGe+U/2bdYOXbLXmd07nvvz5/RjM7xJ9t7uvkMNbxL/zmyFCeOfJPlad9+vqn49ybvH/sx8v2LKa3rK+TGlXdxsnLTmd5Mc2d2bvel06+6efRPxlKo6rbt/pKo+vFY44boxdVxy7yQ3SfKB7n54DTM45z8ts6itToY+xR26++NjfDdI8qbsfR5teK3v7ldu8pisZ1H/42YZ+qcbJlQnjrfO7e7VGhLOzx9fb4+cO9SUPm4yvGF4ZpK1pUofnOExWZsccXwWj9mPTfJT3f2PG92vzWJee5yr6heT3LbHT+uMY8p9rglZ/Kb6/ZL8UJL3d/eDq+qw8X7M26w9W2Z8k2zwJtzYBm6qux++qM6cRf24KW3D1DZtkSnX8Sl9nRuMbecDxhg2GwNu9pqfcm2Z0r780Ph79pOga7mzxye5V+89geWDVbX2huqbZ8r/MMMnqE7M0L+6f4Z+/PuTHNfdyy4z+dAkz50re9hM2cJr2WhRf2jKYzRp7FpDkv2YXJAcX3tjbPY8W9S3eHqGtvBt3f3D43jyQevEs277OTVpPZoy/t2QxPe+plyMNkteTKrX3XeYGM9Xa1iHdTU5v+Py5Q3qbpoMmPgCvkx3v6WqntPdn0jy5LGx+K2ZOtfI8K7Pmm9kmFn0taqavaB8vKouMSZAXzE27E9ai6OqXprkoNA8MAAAIABJREFU9T2++1ZVd83wmM2a0kj8bVX9rwUX9T1VdasMF6C1DsglZmJdpnFbt8HpmY+xTbBpPDMOTfL93f0fyfkfETohQ9L2XRkusFMb0kUDlUWD6jdW1ccyPPe/OF6wNvoI5RUyJGyTjWdjTRkQbtpBmNgx2PBivOS5OCWBMalDk00Gn0vEdOjYYbxvLvhEyGys7xz/79jee4mjU8bX9Kxzu/uF68S55ps1zGJYa4eul2R+0PrZqnpBkrtkSP5fKut/j8SUNvbFGS6uH8owG/q6SeaXnLpMdz9hk5jXLGqvj81wUe/xvq1kmDk1u7TI1DZ/0eN4VobE53rXhJOSnFRVt+ox4byJKcmLhe3ieG15UIbB1H9k+GjgyRk6lX+WC95k2bRTU9NnKk8ZWE9pzy/d3W+vqj1ju3tMVZ2R5LfH211moPLIJLfo7q+O9+XZGQays4nvKY/3wkFzFrd5k5KNWZwwmfIYfr6GmSRrswQfkOHNgllrM/G/VMOnnP49w8zDveqMg6GH5oI3bC65Tp1DckH7cZUk84ndb1fV4d39ybHO4evU+UxVvTjDAPrZNczimu3jTL0GT7mWbdq+jr4xJuoyxnxo9k06fLqGTwKsju3eY7Pvmxkvy/Cm5pkZzq3vSfLf69zeGVX11gyvyydV1eWz72OUDG3j++auVfssLVKbfyx1ynOfLB40T3lek8XJooXXhCXaoUXXjin9s/Oq6gZjPzlVdf2sn0SfUm9R3+uTNUx+edW4/aAMj8W8KW/orD2vn61hZty/ZZjdPOuQ3vvj55/PvtfytTHA16rqmmOdw+bqbNYOHVJVV+vu+TcQ12Y2z/qf7v6fqkpVfUd3f6z2vWOL3gzN2nHH6877MyQ/5+/7lNf0lPNjSru44Thppsp/9OZJ7yS5XFV9z9rrd2w/Ljfum+2nLbpuTB2XrM2aPreGtak/l+Q6c3U2batH5/SY9B6dleGN/lmbXuvH+zt1BuCi/seZGZKon13nPq+ZMt46Z3y9PjhDov2Q7PvcT+njJkPC8Wdmtp86F/OUMft/LOgLzMb8oCS32yDmK2UY2619EvZyY9m8RW+qf727zxvPn8tnuLZcd53jbNieLTm+SRZMBpg4llz7lMKGyzuNFvXjJrUNWdCmTTzvp1zHp/R1vlnDsk9rfbgbZN9xzJTX/KRry6L2ZUEO7bt77lOb4//8Qw05lFn3nOuTv6SqPtjdT6iq35itWJt80mN8Ph+YYVLiyTP/dvlc8HpJpl3LksX9oSltcDJt7PryJL+a4U2hjSaRLepbfKu7P1/D9xUc0t3vqKo/XOc4m7afE1+HU8ZjG5L43teUi9GGyYv9qVebr9PzuAyJiBtU1d9k+DjbffY5yGDTDkINazQ9LsMaTT9X66zRlOQb4wXvE1X1Cxk+zjKfuHxtkr+rqjeM2/dM8toaPkbWY9nXakh8fbCGj0h8Nvs2brfs7vNnMnb3X451Z01pJG6b5GFV9S8ZHuv1lhb5lQydydePg4rr54JZ1HvZrHEbbdrg1ISPL2Z48U+J5zo9Jr1HnxvLvlBVaxe0qQ3pooHKpoPq7n7i+Px8eey0fC3DDLV5v5vk/VX19gzPxe2zdydszZQB4aIOwpTBzpSL8ZRzcUoCY2qHZsrgc1FMT8vwMcG/6e7Txsfvn9e5rctW1fW7+6zk/KT1/JennVJVj07y+uw9G2Ltgv30DB9vunZVvTLDu87zH+m+b4aB+/O6+4vjOfbEdeJZ2MZ29x8l+aOZok/VkGyd9caqulvPfGxtA4va4Ut291q7le7+p/H5XeYYaxY9jl/L0Ca+fW7/7BqJHx87XIdn4yVcppw/U9rFv8uQTLlXz6ztnOT0GmbznH97Czo1U5dFmDKwnhL32nXqn6vqMRmuU2sD/dmP2t5mLNpn/erZmLJ3u3Ne9k28THm8pwyaF7V5U5ONixImUx7DR2R4jP4gw2DmbzO0n7NeMl4Pn5yhH3K5zCQcRg/PMOvimd39L2P78qq5Oi/I8GmYq1XVUzO0FfOzdJ+QYRZmj/F+b9ZvY+6S5Dnd/aVxsPb4tZ1V9Z7uvm3t+/HVvT7avc617KvZ91q21r6+Z5P29Z3ja/XSVXWnJI9OcspcnV/IMNvnWhnO07dm70/dpbv/IMPzsHY/zs76yzg8MsObUmeNCZyrZN/nLEn+axyYrg1S752Z87KmfSx1ynOfLB40r/e8zs9+TBYkXiZeE6a2Q4uuHVP6i49P8o6qOmu8X9fN+s/FevXmE/GL3tB4RIZr8JtzwdIB6y1/NOUNnWfUsHzC0Rle/1fIMOid9VdV9ZbsvXTG/GzuN1bVFTN8Uuv9Y1wvm6uzWTt0bJI31fAlZWtLOx6RYSbn/Gz2s8fbekOGTyd9Mcn8m1wLE6Szf/cwa/4nM/TVZk15TU85P6a0i1PGSadX1WvH+z7bZ5j99NLRSd5TwxrmezKcR48ex2R7zYpecN2YOk46fXw+XpohWfLfGfoSszZsq+uCpdxOr6o3J3ldhvPnPhlmYc/a9Fo/mjoDcFH/46pJPlJV78vej/XsshlTxlv3y5AEe0R3/3sNb0TstYTJxPYsSb5eVbft7vck58/O3GviWS0es59WVX+afc+h2QTdWsyP3CjmDMulfKCq3pHhPLtdhpmi8xa9qf6B8fw5LsOnxL+SfZdJSqa1Z1PGN8niyQALx5I1bXmnZHE/bkrbkCxu06ac91Ou41PGksdkGANeZzyXbpN9r3eb9s9G611b5q/DC9uX8Rr2lOy9bODaEkBfzcbm932thuVX1mac3zsXnGPn9yFr8Sc9/jZD+33V7H39OifDUsBrplzLksVvRE1pg5NpY9cv9+LvYVv0WvxSVV0uw4TMP62qz2X952FR+zklpzNlPLYhie85Ey9GU5IXk+rV4nV6PpwhyVQZLjSd9WdRJos7CGtrNK2tq7feGk2/mv+fvfcMv6SotofXzBCGNAMKokgUZCEKXL2SURABFQmikgRFkuQgSTAxCoKgKIiAogKigJKUDEMcsiQRHGRfvIQrkhEJIsgw8/+wdv26urq6q473vp9e9vPMM79zTp0+Hap27bD22to09oZ4wyYjMbBNiJ7L0AQV9jGzW/3vrfz/z/p57unHXAzi14rlMYomJZRKbANN4FhqlMTHUJAoKzQvyXl9k+w05KhQbkBZ4RTLFz2Qfn30Ons+AK4jebEfC9A9vM4N2sAbXatIS47KoFNNJU52h+g3vgA5zUR7/sDEv3YtGl6vr5vZXzPnU+MQlgyEGmenZjOumYu5AMbuyZhag6bG+Rw8JzM7B828CHMoXWPw416X3OddkjHB+YvvyxjFjwfd74B0xzgAB1rSkMTMXgJwNsk3UUFvQMFtJOOKOrbPqEG72mUfAF8m+S80G2HKWwiU9fAdJH+K9n1OESO1On/wPkKG54UYlhoKl5r5M6gXSU4AcJGZHZb73MyOil6WjJpapHKNY13U59CznxvSmYdBBlIcwCiV2iIZ+zuSv/HXn0C3h0bN/a5xmks6LzgpX8NwsLEUMKnZEx+BktZDY8L+cD0SLsNozH1U75Bl3cmzZO7AzE53vbwedN2bW7cR9jXQPvkuf/0nNOs6HOdlD+58hApa3WBRY0czW8v/r6H0WATAehRKOMgYLU2lfj0Y2jfvhXTqpUiCf2b2DBKO3FTciTgcwNtNjfaWg+gWTkuONZNK6nzGfYVpZpYG5QAF1k8GsBzJvwJ4CO2y02JZas2zdxl0ms1sKlVFM/ZczeyfmeMMBl4q94RaPTS4d5TsRbez/wkBJILTZpZHVd2YjsuMGbS9zOxZdG2NjtQkdKwBujwP6c3ccQ6kgpOBQ/xkM/tNMibsG+e5jTrRgw6x9OohMzuN5DMQUCIkXKZDttNFydjN/M8pbltOhoIwsfT6PySXM7P7IRBE2l/p4uR1zZoO82Nuf92x32v0IuQnTcCwnzQJsj82iN5r0XaZ2aUUkGm55q2xhpZxgnpw36i5Ln8/zMUfkbwcwCRLmuH5PH4KmkMPQBUnQS/EVG5PoinffxpJPxOU93qgHgFYsj+mZL6TStHfcv11HrTuAeAZCAzREmbQw2hTNwDyJ053/TcOQo9+Pvq86LNDzZJnor3fz0Jki5rZE4h6SpiqB2KaNpjZqe77B9/uS/69VHJJ9bFzNrPgf5zgQdBJlmlQndFnObBVjX8DlMEANb5kDb0TUAg2V+oGoBzTKc77ShuuaOv4Pn4nZDeMg+I+zyRjXgZwPsm3+P4NKBEdjzmQ5KfQxI9ye0tRv2CYAmhptlHXQcZl7sE2kF9/IjRXbwWwLYVu3zMaN4hU9jnzCIDV2W2OPBe8kqVyLwMK9lDlPQLqfNdrSX4H2lPiMXdFf5fW4qaQTfRF6J5ORleXAWX9WbMOa/yxXhk3a9ZQVe7/PyW3GVm7U3m66YYxrcx6zTiqGVOgzViJDW3G+v75XWbWMtRy7/n7K0PO4vyQgTAJwNFm9jv//A4zez/J35vZe/29P0Cb5Z3mKLQaocowF0IbkfhY9PlnAfzW2p3QN7J2B+A3oe3IXA/gG9bTJZfk2nAlYQk3IMvNyVaANvE3QcrvaQCfM7Ppybh70Si3/wjKzcyyXZ2pst2Wwonu8z1hU43vub9eCMBB6M6zFsrL73O8SdwE4DzrKacfukfJuDmRcVQoJNiYYxk7IBTq5E7ovr3HjeObzew/MseYZk3zlfkhXriLk3Fzhj/D5fs9KKFq42PcDBk050KBk78C+LaZdRDvHCjrrpmLVIPOm5Jj5t7LNkok+VEAd6TGwsC1DZ4TexqYmVnKqRbudXCK7h/lHvv3p5rZBkPvud78PpQ0ehYKLD1gZssl3xvK1Icx50FGTdCVnwWwUt86LJz7oB72e7MHGif/BgAnxOunVudXns9gI02qzO4/ut8c+3wCgL1NKNHSb5X04i1mtnr3m53jzANl98ehMWrOMAVkQO+wTvJ6KEDzBNStPWtoU0H0kCwZ+bwrzrdzD4fuqwdDxp6/mf3+31iva+fet4hDskfnrQLdq1H03hJQwGAOyOCbDJVu/zkaU3r2P4ecl7/76wUAHGNRZQHJIyAbIh6zv0WNipnhyAfQ4sj3casBWNYUBH8zgHkSHVy0ddjlY98McpyOT773AwBnWQ9lEHsAB2b26WhMkTYjrAtr+llMADCnO4BhTLEJL8lLIPTWl9wOnB3iP10hOe9vQ/bJGf7W1gBuN7NWSW5yfuNjO8zfDzbKH6B+HDNJ/sGikt+aZ18j7rh/NHP9P+j7Ts9xinvCqHpo4LeK9mJq0w0cq8qG53AZ9eUAtkqexS/N7OPJMXqb55I8HsPN4OLA/lGWUMGk75HcA9oD4nPa2sxOTL73v9XlEwBMT+2IzLjU/5kMzd9bqZ4NX6ACDanMiu3uyjW9OpQcndfM+hqdr4MKvfh/JSw0VvYxg/tGzXX5uM0AXJPY+OuY2W+jMYdCwB+a2bIUGOIcM1sT/8dC8lYzW40Kov4AAoica2ZL94yfO36eyWcLo2m6fJslAI9kbNbfYtQg1cyWppISPzKzD0djsuhhM8tVw4CqLoaZ5ehQ/tfCfKXyS2Y2ORqT9jSCn1O61w/6SjX+hL9XU6Ve5d/43M+d+yP+edGXJPk7M1uV5K1QgPVZSDctkzt2n4xgM/XqNP+8OO8rbbiiL0ny6nj+5t5jt5Jsceh5VPUCoico2U1OAmgHYods/D5bPDrOtKHPe84t9Ey4G6JGfJXk9PTaSmvf19l0a3rkTYLobH9XeR7V98jH18Qha/bFwbVIgfweN0+4UgH/hc3s4T59m9OfNevwfytvIL4T6duM4jEmJMlg8GKEcVnaDJJvhZClc5F8L5rS60l+fjlZ0sxuhxDI2/v1bA5v0oJ+jqbboczr4RAirWMcJ87F7lAm51k0ZeGzICcyyPEA9ie5tTX8dN9EhK4wBfD2yV0IyUkm3si4fCGUKM1LclHzYHPGGc41J/sxgP3M7Fr/zjoQYjvtKt9bhjGkcEi+L1I4NeWLoURpIwyU5pkC3Oei3fgh/e0xRWpm03wevRfNcw/jxhwVV9pzk9w9OCrsOtV7U3zDwamuaW4BKIg5tiGZUNaHoYusucWdvzhpcBfUvTi8LvE9pWiQdZGgQfo2Y0Rl3UNzMZLj43PLvZczaNg0SnwcwFlUae8uyK+zvaO/S+eUbWAGIQdTCYiziVDDjJZTlHGYr/PjjvPvLEyVX8d6KGT0g3wLStBMNaEI10eTjY+l1KwHKPMahvOOEzXXpQYxUKWHdzWz7yFCu7hOOW6EY4Tv5e7jr8yDp4X5EWSwDN+Ubd8aETVC9PsrjqgX76aQEeeg3Rm91QTSnP/aJRfsr0IqMwkokXwaqoiZMMp5k7wSQg3HxvyvzOwjPqTIX53sMQ8j4sz190Zdr9NYdppzOu9nAB6i+Pty6wU+P+PXASHxCpwyxJ2VcMyaZ79iuH9+zOfc1ojlY5H+D2M2RLtRcZEjn6pcWRNqGnQ6pFPOBLAWlZB8G2TrrIBhW6eGjx1QgvZrvnf/BpobcRVHTWOgGtqMqyEUe0jgzAVVAsV2RU0Fx1vM7EySBwKAKVCZ48HeEGosPtOv/+cAfg8g5aIsObs1Zak1z77Gab4AWjv3Is/tHY5TCrzU7Ak5pF2OZq20d9TYi1dTyLXzLQNEGMWGZ7nScOHMWl0EXRlqnpvjve2T9SGKmlg+lry3s5mdkJzTzhTdUJUup5LlB6LxHe6A7MdbSc7nNu3rJI0Rh3VO3PcBIv8n+uwLVALmq5YE5DJSs6aPRbnReY1e3AiyW5dAu6nYpGhMkbaLFY2VqQD+EWa2DaJ9I5Ga6wKAQy1CabqNfyiE4guyGeSH3OVjHnMbckwqdEfNXg9UIgAZBfYBhMD+/mb2Of98CwhVeR30LI4neaCZnRsdo8bfqmmQWoUepoK6n4InNdiwAkw2s/2pSrWSz74IZM+G5P71AL5oEVgNdY1W40rGiX6Nd6JLy5X1lfze1foTQF2VOlDwbwDZTBxOwhV9SdTRO9XsvzV9hQZ1mktV5WfFPt7rS1IAgLkBLOjXET+ztye/1VtJxi79XJBY5+0P7Re5xs2z0J5nvRRANkJgmxXABJfayvrS2j8J7bXxUua9XnsIiht9AXX3qMp3tbqeg6W1eA7ae+Tr/t7KAHaggt9Hsyemh4YHvXcdkjzIj5FN4lu3AjsrbwS+u5LdjEjOHymxddATvKgdF/1eH23GR6DSoEURBWSgcoksugcq4Tpn4L0pyHA0mSgZNoY2jx9W3KP9oAzVUBfVhyAn9VySU0ylNK0gKYdRz2dCQeE7oQkef3cWgF1Jfs7MDkCdMzxPcGL8N66jkB2pDCm3/VCncGpoXqpK86hy06MgfrBxyBjGqFSk6HFU0DhJJae6prkF0OXHBSJdM4pDiHLD1pJhAFSUdVMZz5wiXdeN5TUgftr9oo8noctP3GvQuBOxKYD3oMIJLawPoL6BWRbdSPLvkMP/Avod5unQvH+L/x2e1QsAYg5oQM04nqZ4oMeZ2ZUkv4uu1AQwSryGuUTNPhSq5JAR9fB2yHThJvnzSp2/SeE+bkHyJDM7C3UGb1yG/y/k1/xNJH8IGUFxwGrBEfXiRCggHBtLY2XU7OdMDvIsgO9Yg/KbhmFahL6A0pQRz3vBTCAoNi5r+KvTPSZIuN/vKK1XthuK9TrNBZ03E9rrV0B/I+D0d9Mu7PBjnzHCPRxPcgEze87HvAldm3AClQB+1cfMBWDOZEwNR/6n0Q6C/NUDBoD4KXeAbJ0T0NYxadByHMp87AHN8nO/pk9BvR0WN7NQel7TGKiGNmOiRVULZvYSnSYgkpomvP/wcw1768rINzoDhP4KTsLknjElZ3dTKPg1VJZa8+yBcgJ2SUuQ6z1SCrwM7glUYPMFn8+dsm4qgHeLKanQu3f46xp7cRdob3yd5D/R1dN9NvwL6NrwpYZ5Mymwx6N+LbkgETDQPNcqqpNI7gYh5Zdmu0HpfJAOjWWC7/Nhzk6AHPS31uhykrtA9/BgNPr1/QCOpcquv4LGhl0AwHSKRipO0G5C8lgz25fkRcjbcJv4/zN9zyyh9GvWNKzc6LxGLx4LJfzvtSh5QnE132CqMKih7So2VjYlEJYgOYcNVINWXBeQp9tM945/mZqzhfmR87dqwBulvR5WQd/jkgvsr0NyfzM7BppzK5snrN0Gvwpt4FGNv/WqlRukDvZcInmImR0JJQ6fh+yU2N8K9AhZn93X1/Um4Nmpfg3B7wlgkzh5ACs0WjWzmKIGJBdDRKVT4SvtgXp/AqgAW/X5NxA9TDUQpMaXtDp6J6C8/w7qhhF0Ws28r9nHh3zJXSCKoEWgORg/s3Tu9fYCsgr6OfOeVlYXiN0NsvE6FEC+f34fsq33huzITwD4LwhZHwMYaoAJsHqKktLaH9sz/bgzfUwqWXvI/dvBJO6I/i9YUYWN8lqcLd5X/B7M4X//kOQuJLdHnroxplUdWofhuY2SxO/IG4HvrvRtRp8i+XJF8KJ2HIAiT8/PSX7KzM4bOmGSH4OClm+nSnyDTEIUCLMBjiY3ih4A8GXz7PeAPIp2l9qczDKzu6hShrNIropukLAX9WziuYSZLdX3A2yaO9Y4ww+S/BoavuVtIdL/lgwpN6tEjVgGjZeRWnL+owFsbMNd3WsVaZ+jEsuQU30ouomTz2d+5/cU0j0E2feEAuhBRknqZPmeKLRm0TBwqek2fED090QoWBLWzhxQRnI2tANTL0ABnVgGDRrfLO4EsIU7hkNSqgoYbGAWSR+68X7IYN8GPQ6zme3kOuVAM/t24Xyfp1CEweh8Ckmw2qUY1MaAURNJX6LmEFToYSooP9SFu1aXF+8jmqBa0RmuMRAhPligHayaZUrUjKIXf5rqMn8e4VwGOZPdQf8i2zzJY2IJUhk9ASXfm0Y575lsB52XQKQHrI6/eiM33Na2HiRhab2S3Jzk5hVO82AQzMwe9/XybqugsEF/F/aA+q65h8dATapDUvrTUNVGLGdAyNZT/fX26CL+azjyX02CIGOBJDM7FXKytzCzs3uuN0jMxz4OCuCmfOyxLAOVQC+BNlq7pjFQTaPRfzCq9iL5n+jqspomvAdADfTeQXIalCRJ9xZA1U9pc7FcA+FBZ9fKFRxA3bMHygnYK0iua2bX9PzOmBQCLzHXLQA8hwiR53bPQVCjvJy8AgVXdsTw3gFU2IslPW1N8qVow6Pc8OnrULLzGjQNw3fLHKe3eW6frRSd7yZQgPUyaJ7F8+pF61IQXg41tf+xv94FKlmu1eX7QhR4cSXOVKrq7y9o22RZ1L5LeEa5JHsqgyh9l5o1XdPovEYv/gXAHzPncjqUpNwRqgY5NfrsNJL7JuNrGisDmsM3ub0TJxDCnlRzXeHavofGxt8D0qOxnO1zY34KYLMDpG9jqQFvDO71/l4tajMX2H8O0u2AaKHiKq1n0Q3y1/hbNQ1SS+jhgJ5c1Mw+ml4HMObDbZfz2Sk6jh9CevutZhbf+59SnNGx1FQqp/Iomt4NQMFXMrMHAHyf5L5mlvpgOakBWw1VbxWTcK4vB33JsH+xaco6JhS6/Pzk7VKwuaQbqnRa5byv2cd7fUkzOw7AcST3soRSLiO9lWRsI307YmZ/y93fZEzc1+BuCN2fowA6GVpX80J0GV+CrnsjaE3ElC01wAT4NUwAsDAE7ASkc1PfobT2HyS5N+Qzwj/vxKL8mrL2kJWTuDX+73EArjb1X6upwi6txadJbmLeMJcCDY3RRJrZj6k4TryXjQkrkj1mdpE/gxUq4ie98kbguyvZzciEzj3Ix/QGL2rHsZ4242KSn0FXscUBj8cgpbkJ2sbHi4jKXtjwMV2SeS8Ev99BcnbLlPFH8mcooHMx2kT4cdA9KM1nqCZUR0HIuVhqUc8rZq7//CiAEjvDQL452Q5QEDoozhvQbQCSKudQhpEaOYOoEebReLA2z2QtOf+TNhz0BuoVadZRiT4fdKpNCN67MNDcwmVP6Pov8NdXImrMNKJD2NfcYxRnp1jWbWap0X4ThS5CNDdPsyap0SdFZ8fXWQ3PYWl9lBqYBcmiG10fhc2j12H2890K6ug+JJ+Aggv7QtnpyWg3MQoyGMDw3xwyamLJJmoq9fBgF24zm1Gp84v30cyO9s+L84MKxm4DYCkzO4xC1bzNzMYot2wAETGiXizS9yTn1uLJh3TjOlAlTI30BpRGPO+vQFUL0yBd9AEAX+CIpXCmYOwlENo6K0Pr1czOIRkaF/Y6zTU6zwYobDLS14W9+h6auLbvQIP2/6SZ3ZeMOYpCfgZH4TAzuyL5zd0gXRTu7Q1oKh6CnE/yBACTKdTHjpCxHcsKFM9nXB68r5kdGp3P90heh6Zke3sz+31yHLjjvhmA/4aSh4dZGzVY0xiohr5nXwDnkHwMmodvhZoSxVKs4DCzO6hKpHf55/dZt4/JOCipuBoaOp2+5mKDzi4rKskqnz1QTsDeAOAiKukRX3/qCPcGXtwGoIn/fGhPuMp1casSxsz+Zgqwxfv+UJI/thdn+TW00Ec1etrlP93OHuJKHyyjNrNLSK4CIPRjOMjy3MO55rnhvIu2kgnh9bw7xX+ziIeU5KrW5iH9EmRDhgD8lfDAXa0ut3bQO7z3DMlHrF2dOI2qmlkFeh63h3lvZne6M/wFE43HkASU/gySoWdFWk1Vs6ZrGp3X6MWDAFzq+1jsS32PZNhTn2GBtgt1jZUB6cP/htZVLnFTc10AsBekF3/tr6/0ax0TM/suFfh5AaKh+LqZXZkcpwa8kd3rkzFVqE30BPbNLFR+XE7xJYd7vSWEIo6lxt8qNkiFqDBeRYQehuznIGFO3kxyBTO7N/n+oM9uZv+gEg6AqN+2QvO8tkAXvFasVE7sqvEQACNugFfrK/0PncqI5MGQvXk5kFIOAAAgAElEQVSE2/2x1ICtequ3rC4JV+NLrg0FUHP+zFiFZCSlYHNON8T67k7/f9rAOQEV875yHy/6kmZ2PMt9BIYqyXLV+0EC4jfc37dAiZ+QLP8Q5K+dT3JbM/sl2xUFoCezTEm8+cz7k5E8zMx+5cMuIpmCEWuACSC5FzQfn0RD2TYLDdgkSGnt7wrxsX/Vv3818v5TKRHVm8St9H8vh3yNbaDqxlIV9hRkGCOS6zqDio+Ng5K6rYSc+1s53/J5KOkOFOyUEeInvfJGc8tE2M7SzQnfjCxqlkDyFGjix8GLCZZkl4fGsbLZijtlocxpTLGZEGbpuY9tfm5cL2YqHQscTddCQYq4zPpyi5rGUMgXQgo1dhx+EI0J5T4tMbMOKoPDTURqGjOcAimW6YiUTeZed5qT5X6zJCQfhjbN56D7ND+EBngSogq5k0KK3oJ+bsf7kUHjxUY+ycXM7C/J996aOrHugLwVcohig/b8aMxboPu3LhpFum/qGLnzuAuaDfBKKKnzujtxi0Joi5ij9okeRTUmlunGXSNMuOui48WNZHMNW79j4oCcAOD0krNDlVj+E9o0Oo35fEzshI+HkLw/sHZjk2UhFFJ6vnEDiFyjxBMtabZC8iTIuejlVq5ZH9H1dRqYRZ+fCCHpt4ISLS8BuNvMto/GfBhyUlsOszWUFN+H6DwuQEEoNGd8f15IPl/KRK80FsCI3ssaNdGxYh7uraFgfCtRY2a/jr9Tq68L11Sr80v3sTg/fG7MBLCumb3LdflUM1s5GpMrF0sTor16kU1J6r5oB1onAdjM2qh1sMuTvwTkMFY1rYmOswAUUIqvf4o53UbpvJMxC0JBQEAUAc+Q3NiECtguHQ+MBaDT4/wcwA+tKbHLnXfNev0OtFfFTvM91m4IN8j96OtsdnQDd2nDmm9DFVTno6cL+8Czz/XPQHSMUjXXvyVUZdoG0Lq4wpLAPTPNAtltbrk0gEdNPSo+BCUsTrcoqO3jdoGaQGcbk7KiOdsI1zU70DQrTQMQIxxnFXT3ljOTMfdaHW0IqOas6/nLK2Nnl+SfUa4kqz3vd0BO8xqQ3fQQgG3N7GH//CFon29xfJs3D4yOswSGG+/dYWbvL5zLQ5m3Z1nS3LK0d1BVHOck32m9V6OnfVxxXiefrY2m0nAJE0do6lwDAKzdVH08pA/vRHs+jtTIOpwzgPdZUx04Hmr0O2gL9hyrTw/dBmBHSwJ6FM//z8xslei9naCkU0C8rw2VYp8SjbkReha9NB4jnPPgmmZlo/OK35kK2WPp2vhGNGYJKBm9Ohrarr2t3Rh47dzxbcQmbv9X1zXC7+V0xzaWBE1ze33y+WBD8OQ4x0F6cRwU2N8n8QU+hYhP3SIuc/+8yt+qOJfBprck3+lr/z6ocukhaK8PyZoVfVyNz74klHRZ1c/5VgB7Bh09wjnHdtUMAA/n5kbJV6KoZFekAqnfhmzLQ8xstcyx3owGbJV79kX/xsftBwFs4iTcaWZ2bI0v6Trw01auSgvjP4bI1072331MSGrk3iN5L4arc8Kzr5r3tTLkS7Knj4BV8iqPeB5ToUqGx/3126Bn9RGSu5jQw4fmvmuiKL4nukdjfcz89R/N7D3R6xcBzAOtrdeQT4YGm2lVyyRr/78Q1/tPQf5Azh4K5z0DSjb0nfdQHHJeE5XXLVBVd1yF/V0zWz051uBa9DHzAoBFdGHJ57dCia57/DgrQGjzyVBC6CZ4MsvH55pLF/2xIXkD8d2VW+BoNzcYX2XScA91mfzBcWb2Bf+/xGXUW+aUkSs9QDEbZPw+RXVIfRj1HE3/4//mRk8TTcsEuFNhvolI2h28BvW8mpktj4yw0JwsduBLG3EkV0LBxSv8extATtupaAyHEmqkD40Xy0NUifmO0YK+FF2k5SQAL0MBgyCtDLMbXFsVfg+uSE5Cg1SIP5tF8lJ3qi9MPs5xmsfnEoyZY6yy2YpLH3ddLBMhJRg3bA3rs8hZ6ErzYl9nM9Ff1h1no2eg4aiP5RyoVPqnyGTX/bdOceMppXjIXVcvt7LL4PpgT9MbS4KfVoFuNNHJhAYx/lbLYf48xIP6KpRE6KD23Dk9DLo3M8MYdJvWnAc51XFA/Fwo2RB4IGv44M6i0J8l9OOgvmYdj36Vzi/dR//7exieH6ua2fs8+AATP2BKSRQjFydCJXx/8uup0Yuj0PcABZ58d772sXZA9xhLEgOmAHfWUK45b3YrpUJzpsWpcuh/pxRuVQDbkHwEuq8tx9KluF7N7MDEaT45dZpR5n7MUtig2zxqVf8/DgTOIvmJimc/yG0O0W30cbt31kaPk/Y8VMlweHAUfE8c2hcnxLqcStin8/48AO8nuQykiy/069nQv7Ocmd0PNexenAkXsjWJgd7mbBwh+eayMhq74n3sNg4uIoNJngZxlKbN6VqBbwB3kVzZhpM0E6B1+iHkOSiBgUqyUZ49AJjZgwDWG3CaH4XK0AdRNlamiOtFc0d/LzX0G9G40t5R6pcD1OlpoJIr3XXmYlDF0YtQheQekB1yQjoeejZjjQdNqMcTTEH2tHoBJM82sy36giqJvuulc6g5TuUedACEtgt0Q4D02Y5IkGIQkv29QZe4A34z2lUjJRoPMKpwTd9jP53BsuzSGfRWStUGrVwWiYMwPeMfQZm2qyrAzYFeNv7nYAUYK8rRM3ojSK6qpFd3VOz1cTJ4ELVJJbqmeqBmEChjqsjqrUQd8rdqnj0rexyZaEEAcVYPSY3P/jB8j+wTVlQqW0WfAJdBXyl6byMAPzazC0hO6TnWRCgpMhuA5X0tjvET1/g3Pq63WqzGl7QylVY6fsje2Q6ZvkLRexv5/6GKIq6QjOdX77yv2cf7bBy20dNBin0EKn0pcLixNCDQZlz58STcjzQFvSdA/Tz6qiNPoAd1rR30XgZCx4+J1VFLAkIw5/jcW5JZR8Gu/pGNVo0a7KF/ImMPjXDeQ3HIl6Ixg9Si7GGMAHBqzl7umUOA9PiOpv4VILk85O8cBPlTr6DcXLomftIrbwS+XWo3I6A6eFE1juQeEPo0DhhsHS3W3jKnjEx2Y3MnKHt5KJvMVxVHk3lQOzbUo3MdJbBZ7A5udY0ZbiG5vCUl2C5FBz56r7QRB1nNvMGCn+NUkt81s12oQGONwrmWQv/1ovEghMcNUAnf5iZqhE4JkCVZ61hYWdY/gsOTdaqtrtEE0JTR1TRIBeqSOlcAuN3vUUBU/BSNcT7o7LhBM5PkZMs3IQnjaxzmGWbWSRpEx6hqHuRje59rNKa0PgYTBxxA6tPplAacvWUSZ2/B0vlCpc8rWQ/yhWo48m6I7iD+vUlw+gwzC02OcoGPseMkDtGj/v8iJBdJ1lmNHi7y6JeOUbqPALYaIejwmht2AW23ECI0mI9vJaOoKpSAKCnqRRuNvgco8+SvaN0GVGMoxxqHuea8UdFg2EYvhftIaUDNevVxg04zytzLVbq2bxxVMl26h4Gy6F1m9goyYgVu90Qug/bUEKTdCrKZngBwGoCNKb6/b0PJ9z6H6FdQ8j4Es3ZA03wwyEwTBdEnIZT+8SHw6LI/xHlZakA91JytOvnGHhQUxNEb5EQ4MhhKIL0EBTJjZPBqkFPZWucZKSZpKve8O0j+GplKstpnP4LTHKjxLkWGGs/nxqLm1BYkfwdgIR92kJmFxnKBbiKmVGjZeVS10X4AFjdVVL4TAMNeWto7IP7OYr8cl6KedilyrFJVlJ+H7Jm4jDrYUttW6ukhDut9/P+NUJYhOoea49TsQdeTXA2izdjVP78PwJom3tFYnoWSAUFeRJfuo5fGg03V64LuY8X+3dv97w+iQGfAukbntUErQDQnG5jZ1PQHa+z7muBW8rVsL5vK64qvpbccvWbPIPksgN9B6L6bAfzOugmz4l4fvY7ppAI6P77+xSH6mtkhhPZlUEVrWLs1QcIaf6tmbY3S4whm9gjJtQC808xOdT0zb/R5LxCN3rSTqiTLnXP8rPv6hgwF9HMgAaDgK0G9rU4A8FEokT0HMnsyxcO9JZKKbwDX1/g3/nctQK6YOEMh+VqaRxBobqivUDjeI3689a1dLfQlCogZKEjDvO+glSv38drgKVDXR6DoSzHfWHoNiwAh0D6WUg6NBaytQAsY/MjM+3+GQKA5WyAdm1ayPwjgOooasUVLlYzrW0chcFvVmJHkRpC92AqgWxt0sgCAdyKin7QoKeSvi3FIG6AWrdg7q+1ll2XNg97+W/f5s3jQbcdic+laf6xP3gh8N1LcjGoDiCMEGgHRZ8TcTs9RvFwh8L0WgM9TJZydMqdEZqNKQraAeNHS3y1yNFHltj+Dyg4CUnsnM9sLIwY2rac7eJ/hEH0vznydDgW/n0By/VbRADOS0kYc5HGSX4KccEAK90l3cMacmoLCyaLxkGSnzOxEqvHdRf6bY/ek0siq7XBb6/CsCmBbiu4l61RTTb6WR/u6T/f/Ayf21YXfCVKT1DGIb38ayR3N7Ga0EwQ5Zye9Xy8BuJfklWgbK3tnApXtH2+jfC4iuTtUKhdvfDE1QI3xFCoQTgKwsJm9hypl3sTMDh9hfZQSB8FhmAjNxT9A925FaM6sjkruOjc0NkQ7S5+iCR+EEMN9QmgOzp/83otQsKoZOIwgrnKIRtDDQ+jH2mOU7uMoQYcfQHPsLSS/BSGwvzr8FcwN7V0YUS/OSfJklCthSjz540kuYE5Z4k5GbF/UOMzF87b6Sqm7fQ0WS+HcsVwJ4g4FVN78h3hMYb2OEnwocS8PdldnGY1c8+yPg6orbkYPl3ty7QGJGs+P2ClYz9ol2/fSS7YpblpAa3WzIV1vZkdQXJSBnuNoM7skGfaaOzyfQ7PW4ubBO/v/pfnR25zN6hBFQYooKNQhg6dDwd4nC79XTNK49O55/mexkgwYQ48vjPazDxQLYb8l5MgGR35jADHP9aP+Lw3CBTkIbQTlnH68eaBKu3P9d2v02anQcwxO5l8hHRCSyKW944uo6JfjUqWnrY5jdQsAS1uX1/0u6Jn8BhVrFQPViOYIOqsLoPfykNYcp3YP8mN1gn1BIj33Z4gr/AI/n02RoNrNk+XMl1rvgqbqNdZdcdVroNv6mXnJd0aKlVIjBK0AIe0O6AnYFu37yuBWPL6vl80lpetKvv8flqFqgPYrJO+3+oK4/lgKSvatAVVS/Kf7uDcBuMnMzh5hry9ev5kdBeAokvNB+8sOEEL4T1BVzKcqjlPzPIpry0brcQSqEun9kJ49FdrvfgmvLKPoW/aHQCXxfd4A8o0ABS1LMlSpXGO3xlLylbaAEozH+364CPJNmj8BJS5zFcE1/g1QD5Cr8SUHk6+l9UjRV/T2Fcp8ZRwjqiGP34wlCGrWPfOUdi+a2Ws2ADDKSE0fgZqeZH2NpeNKyD0pOrpgB+eqJ2+i+KQHaQEHZJTEGtBUVsyBbiViLH3r6CI/v9qqiWOh5pL35uxLCuC6D+T33Q3p01swgv/b50+wDV6I984OY4RVgNUSmU5RlcQxtvsoYOlrUBPNwebSHozfEV2dV0Vf+kbg26VyM6oNXowS5JhAdToNmecJaC+qUplTLN+EUH83mtntFH9aKJeqRSf9wM/7twBgQmp/yP8Ozsy7zKwV/KYaD8YBz6Hu4MFwWBMKooaA+uYQ4iOWn0FNN1oceMlv1/B11gQtAWVjD/XrnwUZYp+BUA9b+PEHFU6NoQZXHmZ2E8ULfDaA5aLPa4ys0Cn4ZcvwUUbjQoZ2d0u6F1MZ9fDeoFPtBtg60DO7FJqbN6I9f0CheA5FN1O5bHLImqTOLDO7mKRBjTlPQVuJ3zd07S7no78EJheoHPvt5HuB3+7AZExcWVBjPAHqbn8ggLBp3EPyTACHo359DCYOwjwkeT5ELXKvv34PVIoF88ZxVsigumO/JhpU50Ek17J2g66DIWPkVrTX2H7+/wUALiC5upndMvR7GEAQj+AQ1erhXvRj7TFq7yPKaxBmdgbJO6FAyTgAn0iNycSYmQAFzQ5LxtToxRJ9zzJQ4GtTyPgITWuWgJB6QY6BEpRhLW4O4FvRNQWH+Q5k+Nv+jfMOTsCSyCdxq0vh3GHfOfrsl1QPjrg6qne9jhJ8qAiClbqrV6ErCvfwNU92LMo2qjWc497RcfqQqPF9nUBylWAfUH0ZAkowoGSf7NNTidwN4B+mioKJJOcxszjBsj0UlPuWqSfAUmiSKvBA+zgz+0V8UJKfhZrMBv012JzN6huN1qCgapDBkyHjP9WdaWJ2kC4kkqE9rwoxw0IzpyjQeD20v4RGiFMQlcNahEikaF/mTp7pHNbud3KjidLiWYoCIXw3pb8Ix4/tj6XNbEt/djCzl/03w9iaveMPJM+0Ald7jZ6OxpZofv4IJYTTaqnnKKT8Ur6Pp8f9ZPK6JhBSLEe3Cvq8muNQlTd3mxrtbQsF74+1iJ+6IOF6gl0VpNNrxO2aXwB4k79+BsDnzGy6KUhbqnrdHkoK/gA9SQYbrVJqMGjlx+t9XsG+rw2UFJJUYUyul83kEa8LKFM1gD19QQC824QonOr/4Ot8eyjAsiciOgm/ro+ju9enYJISfQJcR/3G/4Eqs/8Y5MN8hO0eEutAuu50M/v7KM/DfaDjoWbFc0D74T+snQS/mORnMtfVoiqEmjS/F56wMbPHPIAf5Jd+PZtBe9h2ULUVgs1kZmlz8Jz0VipXzolYsr6S+yv/gObe5YAQ2VCiNscj/yAU6O8Evmv8Gx9XCwSp8SU7VXIehOsI+wEDj6AJypdkRwCnUIAIAPg7lLRJf2cI9XsXMn3LSMZ9y2oCiVMqznfIl4plqLF0fN4vmtlVJOemN0ONPq+lBczKCH5kGD+UWI1lsOKf5PshYGpKKZSCWf8C4I/WD6rYBwII3GpmH6Iqqo9IPgeGfdeiP1G5dyLnS8ApD63dG+zzUAXZvv76JqgS6TWosv1dKDeX/gWA+6GY1Tchn7S6X80bge+u9G5GUQBxPIDHgwKkypUXjsZWjXO5AgrohdKMXRDxMlqhzCkWV9rnRK8fRLsrcw06abz/ZvxeGhDZAV3U947Je7nu4Hv4ef0cAEjuBmAtM5vhr38E0X/E8rSZpZzTqfTydUZjaoKWMHHA7ZVxuAGhToCCwmEBtecyxrdmZo9TyYU1oveqgtouNXyUALA+ogCby8fCexVz7dMAVoL4OrcnuTCahgmxnAqhuDolc5nfLklIEDxAUeWEZqdBitduZj+nEHbLQc/czJFVNQGA6Dg1iLMa4wmQ839bss5mhPP175XWR201COOgk5n9keS7knMcbLoHJQjea96QjEpA3IU2wu1H0CbWm6Ry2YzkdCiQejn0PL9oZvFcKiGIwQJN1Ah6uBf9OKIur7mPg2swkiehZz0bRL81lgF3iY2ZGVBgMS3Fr9GLpUqYY6GmQ0EXzoQSxCtAOm9jP/bpJO9AY3R+0vL0VFejzN9WPG8WkrijrGto71o1XCOViLgFclyD9K7X6JxWAzDdmgDgfNB++7t4nA0HwZa2ge7qVo+uGLqHG0HP4CNoo1pzkkWiJrIT5JzNC+mgFwDs5MGMI33M7VQn+NQhGtvbSe4ABT0mQ892cajybb1o/H1UdVTge3wICr4F2QtNUiGW86FqhTP9e/9AHmEWSw2iqAYFVYMMPhJ1cgkw1otiIoScNMhhHRPf8+aCKD8sPQjJRaH5PdbEDaqweTQatg+0d5SaOS0MIJ4f/0KkG0meDj3XGRAS/M0kvxMFrhZIzn3P6OVC0d8xNcxE6DnfhXbi/V9+3SHJsDTyNGAlisFVPICfJu/fwXbp/FNoyrHBpLeMvxdXgswBBXLSINiRAH5P8o/J+X4csttPRZ7nO72uD+beTwIhNeXovRUuoxzHj7ESVVGzP5Rg/QVUIVUUazd5LAUcTgawnzWNpNeBEpbx3vJjisJlLEAKcQy/BuBPJB+AaG5i9GXOrpqT5UqpOGg1Dgo8dRBppYAtVbWxeTJXf2VmH4nGDCapIin1shm8LiqhVKRqcOntC0IhfNfwf2Fd3wnpxRQUcRHE+zoEfsrRJ6xpZock43KJmOOsoY6Le0icDCVYxnpI+DFqAlc/hBJH50Dr93MAUuBPTY8jAPiXqQdT0GnzJJ8vZKpS2sPUY+YaiEYmvu7LIbq9eA790sw+Hg0rViqzLqDf6yuRvAyyd6ejmYfxb6X9gF6GqveuRnt/javCi/6N/3YJUFHjR+eq5DrvsQAYGOE+3gnpz8n+ukVdxgIIz6Wmb1kxkGhm0yjE+jvNg9Fo0yABdZVkYa+7FlFj6eS6dobQ2G+CbMG3Q/7lmG1n9RSsg+L++eVm9iLJr0LP8jBz/vdoXG9iNTlkaR2dAcWhSn7yQRAV1jTkqVVeMbNXSIKiT7yfkYNS47uO4E/AyowRE6EYS1gvn4L2l5VIfsjM9vXx/6Sq2qeiiccEkMFLkK+wHDDYMH4ZM9uc5KZu656JbuywV94IfHelZjM6B21j6nV/b+V/Y9xB0ALfzV9fCRmHAMZQtr1lTj6miusZdeikv1B0J7OoTPteAP7Lf2dLaDNP0SfzQZnI+DeLTUQgh2cSGoNpXiROEKQgz4SMn74M4hBfZxhfE7QMqIyfYrgp56DCQRm1BwB/YybBAjnnsfRuxlTX6CIfJRVA3R3A0olBPx+iLHvFXPunqcHHDCpL/xSUSU7lBWsC971iFUkdi0pF3eHZguTitdfu17UhhNQMPOpLUZ2hL0vGfRzdjPc3o88H+UNdapMQz7hTHozZT6O7Lkvro7Ya5B6SP0W7q3NaVldqugc/l1AOnMsQz2l1Hb43MLOD3BB9GFoX16OdRIkRxOOgYNG3kuOUaKKCDOrhyiBprc7P3keSf0XFGgRaRvN/o9HnKZLhcDP7bPK9XyTvFfUiypUwC1sGqWtm95Jc0n93AhTwXQ7dip1Uivxtlec9mMStDNwEGYd2gu51dPst1KzXk9B2gP6RvlcRBPsnVUkRd1dvlfn5+0NUQMDAPfS9+Vck/2QJpUtG+pCoY2LqCbFCj3MWkHtvhoz8OCA8C+1GynsDWAXutJvZf1Fl8mNCcmOILmcOSI//B5RUDsedPRcY80DH7Kzjmg9Sgyiakh4jc8wiMtgDFguicZbu8OeUHmuF+DXFT7l7Oq7iPp0KBXRCUnZbf2/96DBVzZygwPNtVO8XQOXpMSpyRQ8Ufwayb78EVX4EB+53JHc2s58k17ALIsoUE91e/Pn8aMplgxwKJVMXoxItayJp0uRS2jt6+W4xWm+ZFqqXQp9vCgUoYvk5lMBpOcPurN5I8oPWbvbVJzGwYyK0nu5Ee87WlKMPVaSNcpwZHrTbFCqL/hnJHQGA5IFQwGGwEsTt10Pg6DSSLwE4yqKmZS7zhKC3n/N1mSDhiZDODd/9LKSjdzKzraleT1eg0EwSFT2DSkErv5aagO1C1q1+a+lF1CepcojVuOKqdF03o56qYagvyKNQ0ur7AA624cTqopan9oyljz7hkGRcLhFzOppETOghsRlEw5H2kAAqA1dm9meSE0xgkVP9OPH51PQ4AoCzKWDc/K6jdoDWZ5AQFHqC5Eeg5nFvTo6xcGYOLRJekxwP4CQzKzVurAnoD/lKH/Pfz/mNObkQbRshJzX+DdADBqD4sQd9SY7QA86lBBiovY8LQwCTRczsY1SFwurWIPhLqF+gom8ZKgKJrAtGlyqHx0FV4quhv7E0IJBkbAs+kLEFS/cmgBCnoKExzIEQv2Zm53gsYj2IWvVHaALYQYqJ1cp1VAPmBOTvvgTt4zlqlUfdBvot1BvnOaiaIJWi71rhTxTBRlCSdU1rwHEnQXNoLUhXhuOsA9k7D0PraDGS25kn5yPdsYSZ7UzynSTTOEvQeX+nEhJPQJVnVfJG4LsrNZvRbLFCM7N/Md/NfXCcBwxON7NtoIWWk1KZE1DP9VyDTtoNQigtDqEHrkITlL8NKh9fFG30yYuQkTFKEB5Qs6s08zcl+cpcfq5DGcRevs5YOMBPHcn3UWjKibLCGUTtuZQaE9YEdh9DHR/lmRDC8Ei0M6svWhudVJprd/h1/8R/7yV00RmAGlkdiW6pT8sYYV1SZyGIhmBJtPXVcZXXDsjB/pCpsUVAgV2CCHVJoannhkptfgoFWm9LjtPLH1r5vGLZA9pIl6OCog+hmygaXB9WwU3ssj20hkPp0/VomlYFGWy6B6G77qKQF+Mgypu0qc4lFGozTVKlvN+Bk/fjAM4xs+fZRtKmCOJZyCOISzRRQUp6uCZIWqvz++5j7RoE6lC2LYQnydmgsuVYavRiqRJm/oFzmAsATLQQRnJxK5ew/4MF/rbK8y4lcWsCN0FOhYJvceDulGRMbr1um4wZm4v+mzP9uSB6rxQE2xXA6WxKW59D84xiGWwmirp7aBTydai8NYtEjW0GiirmVAjp/RMqGHuwRQ3bLEnS9Mgrvq7CcSegm4CYAjlE1/lx76Yo3YLMxUy1lu9jc6CCaz465xpu2V4UFEdABlMNCb8POQrjIP7ZL1qX1zL9/btIpg4aUL5PC5nZqdHr00jui7ZUNXMys29RSL6wD21vbbTU7L4ONoWcwn+RjANGXwTwWyowHtD0/wnpzU/0XDqgxFIL0GBmV1I8yqtB93EfyyQQUN47evlubbQeCul3Z0HXeija+8DL5s0+e+Q1Kkia2q+xXQwza1G3kVwMqtqJpaYcvVjhUnmcF0keAunKD3pgIOz/j0G818tDz/0yAFdau7HWVyF7ax1TBSt8Hh/nayjW5w+S/BrazSQfRFtWNrOVotfXUH12QPJqM/swySusTO1Q7BnEpPKTQu7lKj9LAdvX473V9U3qW9UmqXKI1Vui90oN3B9BPVXDUF+QNf0YmwHYj+ordIv/u8PanM6XsacBaCI19Am9iRiX0ENiO2R6SLjUBK5edvvwbpJHQ3ZKmootGjgAACAASURBVIyu6XEEM/suyfWh/ZUAvm5mV0ZDjvC5dgC0309Cu4kpAMwkuah5RQ/JFrLabZWDEFHMDJxPKaAPlHsthGDy4mijR29OfitU6y7bvNVBf9b4N0A/GKDGj457wB2Dxi7JNiRFHWCg5j6eBt3L0LPtv6AKtBDcLYHwgLq+ZTWBxN5gNCvjPr72LjUl8IfW0KuJLThb5rilewPUgRBDEPfjEJf4JSRzfkIxsVq5jg6lEjVpFUNKB7OImb2n7yBmtpn/OcVjBJMRsUVEUuO7lvwJoMwYsQAEzgv70DwA3uT+YazPj4HAbwaM+d9nofFfg+4Ie0xHdwA4mQrOfw2aR/MC+HrPeXXkjcB3V2o2o6dJbhI2P99Ec8b14DifEEuQnGMgyFEqc4LVc49NGfrQFeFWZpbl9jOVFT8EdTZeFHL2rqWyhnNAyrM2CA8TyvcyNJm1TubP6tCYg3ydfm1V/NT+m9mmnNHnOYUTO0k1qL1SgqW4GZuCnH8geYZ1aQ7i830ewPPuRDxhEX8dydMjhTc416xBvf+IKp2bZEkw22Wt5H9Am1aaQKhJ6lwABQOuQvQcomsf4+J0RbiYOT1GJC+aB71dHoTuYyxrmJo93GNm3yB5DLp0BEP8oeF5bQ6vkIBTUKAbiAdUOrue3+PxpjKr1IkfXB+s4yYOqLHvY5ivdrDpnqkBxrV+LrMg4/uvyTECB2tcNpUrX7yI5P3QmtiNSm68gq7MjsbATJ0PQJt8L01UJCV9XRMkrdX52fs4whoEBoxmDyJ8GQrwhQDBOIhe4ORkeKwXZyGjFyuCN3cwj8bcCW29tADUtOQ2tGkhUuTcvijztxX1OcpJ3JrATfjO90heh0ZfpYE7eNCltV4zh3qQKqMPTtfu6AZe4mPmgmAvmFmru3qqF1xKVEDZe0iVd99tZn+EAkQPQAHLY6DEW5pcyiJRE9nBzI6j0GZvhpyLXwCYSnJ/MzuGCsLn7kHcVOcmdxomUmXxe6Bt7AJCEaaJsvi8fgbgXJK7WtNkbkkoIPAzc655E6ftoLAOUTSEgkqRweOS/+NA9NehoNyT0W9PhXPRRr8X36/xUMDqsczpl+7Tsz4XQjB+awjUEEttMydASeMXfM9aiORSbi8CSiT/D6TXpnnQJa76eArAGiTXRZPQu8TMrol/gG2U/njIlss5mBOhhNFsAJYnCWtTfQDlvWOQp9PPp7YXQexkj4ccyHS/u4ECC1wY/d6noUDwtRAg4EIIkXYwtNemKLmcPAqV08dSU45eU+FSc5wtIWqMHc3sCX/23wFUCQEFRMdB9+SjEOL5dUhfXQ7pkpUsQimb2YMkt4Ca2cV79A6Q7XG+n8cN0P4by+sklzaz//bregcau/JtVMXnxiTPQpJ0szbFUU3PoJqgC1AO2H4FQv1P83P6ALzRaCSDSSrWI1Z7r4vkvObVNBRVww+hQOycyFM1bArN89AXZDK8esbU4+UWeNWH6+iNof1mUUTJHQC3AvgNlTR5Dfmm0UX6BJehRAxQ6CHhUhO4+iy01vf0618MbdpRoJKq0G2Oa0xJPeotzh4FgJ9yHXQPPPnozyeWr0P76zVogCu7JWOuInkAutRe8ZyuCegDhV4LFCXgthC9Rowe3TA+CAvoUD92jX8D9IABanxJG7EhKcqAgdr7uKCZne1zFqZqhDgeUYP6LfYtQ10g8VXrD0ZXx30gANXKpkrBPplGMvg560O2dFpFXro3QB0I8a9uB6wPNcCdE/lnUZNYBcrraHuIEmR2tGlw0sD3pcwk/JhvVhrilfOiSzlV47sWqUVRBhsdDc3n69Do4CNcf10VjZs9BL2BscrOWAcP6g5/L7BiTENSYVcjbwS+u1KzGe0KGWw/9M//gibog55xgIzQdNyD0IZ0IdqLJDiKpTKnMaEyJwegh5/NChxNpkD8thDiu1fY5eJcAs7FaUkQ3h34WXGggORypsxkQBmExkaLkFwkcS6KXJRWx9dZy0891JQznNMYpUBwoKkykIBq2w3aJAO339/QLbctNSYc24yhZ5nl6nR5gB6sTo6RKoQSf11xrpF8OyJuO6oEt+VUmtkHUCfFpA4UwEr5j2O5kuJInA0KMDxF8mYzi4PNd1ANos6GNpjNIR6pT/r5no8mMfEyVQL4NwBvS8+X/fyh90HG/RxoeBwXhxydTpMd6Fm8z9rIxHOh7va162OQm5gVXZ2jv4+ikE+BTzdtugcoI7uaH2sGlImNj1dVvmhmB7ux97zrnJchJ2lM2AT1z4PWUC6o/yUoYJGliYqkpK9rgqQ1ujzcx6HmhUUOSQwYzWZ2JIAjSR5pCX9l5lx69SIdoeF/b24RLz3JI6yha9kXcjq3QRPofj80zzeLDpmi//vOqcjfVqnPpxQ+rwncwD8L+vyu9D0m3c6jz8O5xgHdXaG986v+u1cjCVCwHAQLeiGukjgXXTT/IBVQ3z10x/d7FEf/O03lrWuZ2WkUNUTKk1dCogJNEGVDqIJtemSohoZ0KQ9iTgLt2/3QvnsFPBkVyXQKGTyBKp/eG0IxAhhDx70E4Ho6JzAUZP22mZ3UpwuRt/NOQxlR1IuCstGQweND0NvlKeSdrzgxPAOqXMo54oP3CdqjjoeCBbP8s1aQ0CqbObFQuWVmraAEyb+gzRt7JwRCuAzATyyhYogkRunPAPCItTnJwx64JTTfYqcyDXyX9o4i3y3qeigA7QbaM6AgzqbJmICuigNW4wHM5wGJt5jZiSS3ctv9aiQ8vgDANuJuPETXEwdsa8EkxYq00nEoIM1ZFlVOmFDLLbCJKQF4u/87zK93A8jHmJWbDyae0DQRt54lVGsUf2tMM3cglNR4EFrzS6CZ91+H9rFF0dDwBEmffalSCqgLuhQDtmZ2uduCYW7sa90qhlKSqg+x+gLaiNWh69rWbeNDoaB3qFReDxmqhsS27YCy3A4IPN9rQgmAW9Gtfv4ehP6713rQhmZ2lgdchugTgIFEjM/Xr5gqsMNxH0K7hwRQEbiypmLgFbSBILHUUhVeD+ADvi4uh4KLW6JZjyeii+I/AZHNYEKxroIGRXmQKeEYSwAgxCCDdE7XBPSBcq+FTwFYdkDXB+lFh47i37iUABU1vuSiHtN4EfKNO9VtLiXAQO19/AfJN6O5j6shquywAurX5/TBltCERfJnP05NILE3GJ3GfQqyKoBtSD4CxbxyttfBkH97L7RPX4qubzd4b1xqQIhbQEnX7/oe/ja09V+QOLEKaF12ejagvI5WNrMUlZ+T3QAcQPJfaBD5syCAQgBQpNKhWkOd71pDLToINjJVz1wK2cMA8GUzC6CM+H7ewS41UZwwKfZpoZITn0K5MXBW3gh8d6W4GZnQAquVHILKcaFb+XhkeHOtXOYUyyA/Gys4miBkwbHoZqtiZG8NF2doyDMf1N387xAy7E6IW21ntDnigqQGZi8XJUfj66zlp8415Uw5NFOagQloGxl3QzxyY6i9zO/UNib8KIa5OoG2czYRule5rGDgr/skMvx1pbkWOZX3oZ2lbzmVFEfxMdbmi9rXzA5NzqcmqXMxyQ3N7NLM9QDqSP8ChUA93cwOZZtDOdyTJ9Hw+D0N0TRsjMZgvZjKnB+NJsCXbrRT0OUPDU7T0VC2dQlrmttNgp7dd+FleG7svxvA5CQINgkNymU/aJ2W1keJm7imqzP8vJaCGiuFTutzkVzSzB7218dDCLtQLrc3yfVjR9M3q338Huzmwd13WpdLfW5oTS3u17kINN/iBEGx4aCpPPgk5MsaEY0r6eFikLRW5/tnQ80LB9egSw3K9jaSk20AbcjhplhbQXMW6HLQfxTuDHswbg0KgRvK7jpoTCskVUmua2bXJHMeAJalEJnnR2MXgoKgKQXHutHfJcRuDZVQkCF93tvtPBV3JLPVUpFkg2CVeiH+rcFmooV7uBWFAAxVZv90h/Jv6DZszSFRU/TjnSSnQrQTh1BVOzN93G/9/zhY3CcbAPiRDVMI7AUFol+F7IIrkNDXmNmPoKqk+fx1jM4v6sJIahBFr1qhJJdNAjOW56HAbUiwTaXQmgGBvZVfW0usogmRS3yfzvJjHRYd5xFkeIwZVR+yvplTtnKL5NYekOrr+xASKqtC9tBHoeDgs36+l5lZqJ6qQulD1Ci0NlVCR0p7h9U1zqrpRVAVaB76PQoQcJC/fN518TOQI5pK7EDOgALPaQ+JidD+OkRx9IglFWmZ8xo8jimpPTPep2rEhDr7NYTIv5rkh83s6uS310U3kVnT6PxqOt9w85bmipmdC1WLfM3MDsOAWF0yqxh0GSFg+zrks0xEpoqhpBesErE6dF1m9iOKkmkbf20U8jhL1eD72FEQZcI4REht1yWPQTbd9VBi8s/Iy18A/NEyQW92QSIhEdYBUfk5P4EoqWFRIsbqKrCBisCVP+sp6DbAfEf0d7HHkcs4E+pxR4gq6miSd7MJZC+U6NhJyFdIvgIlRyYCWIbkMhZRi9TMaYsC+hSl42I9z+1QDPdaeAjdxog5GUKHVvs3/t0SoKLGl+ytbkvGDQIG/Nkv5H8Prd39INtraZI3Qc2ePx0+ZJuyJlRYvRV6zmFOx5XXWWFdILE3GM12o9uOJPGKj/QObMbPhGIBWZCnS+7ebJ6MiakD+0CIC8L3zeh+3p85p+eg2FfwEeaxTGynYh3dTHJ561J3psep9j0Kxyn6ru5P3AlRvQJ5atEpFT+3MhrKu5nIVyPuBvlnQWfdgHZfrpLuAOobA2fljcB3IrWbEaNGeGzQX99MxhwB4Ogk8LC/mY01jLMGVTO3mb3cc05XQtnJkpR454oNA9AYYDHCLKWpqOHiPAXA7mZ2g49ZCwpYr2jeaKHSuRjioqzm60QlP7VlmnL67x3LLs1AuOYWzQAbztMX0cN5ivps/xR0uTpTSoy0RPlYV2JpqVLgr/scEv46f4ZX+TPpm2tVTiWAjcxsDAFq4ovaGFJo8XnXJHX2AfBliiMqV+Y4G5Wh3QINMq8lQ44nyZVJvjU4Or453AttfK3SOVNTkDuR5w/dCEIwxBy/L1CNmQKCEX6dG0HoljgI9iKUDIKpGcx4AF9NndZETkWXm3gswGTeDMvKfJVAuQHGeoj4vSjE6B+TY5wC3buw8T3mx0iDwEX+P1Q0HHQH9kh0eU/fkYz7evI6jAv6usjfXKPL/f1St/beNRhJDcq2Bm24oPU3xYrvZaq7O0gCU7n9ten7QVhOqq4N4Bq053yQtMzvDCjwsRFkuG4HleuNUmpdpBKq0eelgEJyvGJAqU8XkVwdBb3g42Le6Ceg4G/4LOaNzt7D6DyeIBnKW78JrdFJ6O4ZOSRqmpzeEUKWPugO+puRoIepxo37o3tvYpqE7QAcT/JsAKea2QPJucBtpK+gR9cnYzvBulgXUsH/Vfx6bs8EnGoQRTUluQGRdw80x1aAdOdkkru5XXAAtIeFyrafQ0j/ljCf5H8ectx+bI6g67tPLHBxArif5H1mdh0qmjm59FVuhUbMC2V+Z0xMwf/r/B8oVOlHARxOJU9vNbPd2W4Mm177/iY6ogchfTpoo5T2DlbQ3KDAoz9wj8NvxUnj3t8zNWYNPL6HQPNpfjTB8PiYNYi7X0A2yUegtb8NkqpGqIrwPACnWNTAkqNTJb0E4F4qCRsDafqSIansDeACkjeiXXG0Jhw1z9EanU/w614S8n/Xo4LIgXJjDqj0PfgU0wGcmdq8rGt0XtuvYTyUyJgNSgQva1FQ2wNx+0Bo7bshXXwL2lUTg9W+kfwnxWWetWNK12UeNCf5Bb9X97tt9DS6gcyjAWxs+QaoS1t9MiTQuFyGLo1LLUgEft45++wlMwvPqFSBDdQFroaa44ZzGayUiWSc2wfbQHst/LzngYJ2s6GtY19EEgCkqrT3h+yye+ENESHKkzCmOKepJE2Kir7J2pRlsHKvhRchyour0H6maYVdLzrUmma/n4IAHbkgW3wPSoCKoi+J4eq2WLKAAYi//1AI6T0eerYzIBBMB61q6uGxNjRHxumtVoXkJWjQvxMh8IGhDeb4vc/nc9Ce07HNXQwk2nAwenUoQXUWFF/K3ZOgf68ws+Vyn0fjNoIS9SFxlKM3mg75FWP3Bkky2lQ5XwIh1txDUNX3u0Lr+XYAk0geZ2bfScaV1tFqECVICfQIqgIhxN6uS/aXoL/fifZ8ToGIVb6rz+Wnw7GY9GyyPLjpA3TaJXYbNe9NcnVrqofDcV6Fko999Ic1fVpqGwNn5Y3AdyI1mxHrGuEBwMfih+6Bhw2hUuhwrNWhTXJeAItTzep2gQLEa2WM/ZwCCFLinXvVCugkq6OpqOHifN086O3HvdEVfEAC9EqikHu5KG0Evk6r56fOyX4AjrV6moFiVtga/tG3IIPoiyTH1TmEKAvl87m13ctfZ3XonCqnEiqvjpFjfV2Ji0kdK2c9vwmhw2400Si8A3LGxsSvcy90nYJNoFL69XzcB6GGkntBgZyT0c6uX21mH4Y2yvS9WZZBpPh9jYPhF0CO3OomnsO+655JlSalDSbiMYPcxD2BAiCvQ0oNMB6CHK9Au/I2NDQGQd5pZltT5cWwDDeXS5HDC4WgfjTmUChB8SFofudQeHHJ7UQoGDjmjFkdf3NRl7uUurX3rsFIalC2NWjDmexvihXPi3SO9AZrBmQwqWpNtcdO5l2/B+TNprK5fVy3TyN5O4CHWF9q3UslFJ1TNW0M6xqg9gaUKoNgRb2ALm90kHFolzn23cNwPeMhTubnIM7HpaPPVoMowV61uuT0LCiAuJFf9zzo7mm/hOySzaC5sh0SjmIz24pKTm8D4EySr0Br/NfWVH4MVTFUiweTvg4lY8ZBAfdvmlnc1HQQbeVSU5L7GFRaP91/e3noPh0EJXym+t7xazRl2H3yoJ9HsIe2hIIIy0IO6Wf9N94PJXWWRFsvBIe+j4vzF1Dp/3WoaObkkqvc+qmJmmMC1AyulMiL5QUAZ5vZKT5PQ3n+sRCi80zomW0Fzdu7oKTrOhDn9N0UFUisO9NAa2nvOA1lmptS6Xy4x2tC6yOM2xzdAHHv7/k9XNLE0fk8ur1SxoT5sv+QHDjcBJJYxkRxtKmpedyZ6FIcrQTd35/5MzgFqvYalSrpfHS5S6vFnfH3QPQUIRBxPYBdrKFJeAzSh0PN6YJcBCFfO9VUvi4vhPRhOM46AL7i9yqudKhJ3hf7NbCOmmcfeKDSzD5EVQcdkVzXYLVvJCU7pua6gIaq4Yv+b3F0deOTlg96Y8DHyMlD/q9D42JmX/D/a/YpoGyfDVZgu9QErnqb40ZS0+MIEN3cIQB+4+vhHQCudd18LclT3YYdki9C13uLmX2A5LvhfOuR1Dz7QVQ0uwj8EJxe3G3RYMNejnw/nlRK6FBAz+lKkn+DdOY51qYNCzIIBkCFL4mB6rZE+gADF0P7wcrmPTD8d06imlm3wFau+zdEs49vwChRZ2oSGY9/H7oV6hOhmEmcBErBJr2BRNZRyrwV4sjeGtLVl0DVRtOTsa+TtDSompFjoV4IvfRG0Fx+HyIaPQ+Yvi963UKyMwNSrbyHgIBfL1C0j5dBtt+dcKqkSHLr6Fw066gqYJsJJO9Dcs3gq7AiIepSE4fcBEoeLgJVFi0B+S7vjsbkwE2HQ4COHdHfqPnL/rqPZjCcV6w/14biGrOgmFPa5L2qMXCfvBH47krNZlTTCA9QAHBOc7QARQUwZzLmWMhRvtB/7w8Ub/J7/PUo5Q4BTdDHO1dEJ/m1fg2NcT0NMpjjYFCOizPlZZvmztBZfg5bQln79/l5pgT88fnGCrmXi3LEhQQPViyJhp96Get20s1JGpT7ChWMX8rMDiO5GIC3mdltyfjerHCNonEpcXUCbbRDKJ/fwn9nV2jzuMmEUBhzAK3LX1dC59Q6lb+CDJEQRNgBjfIGyRtthKQOB7KaJm7iuJT1QXS50n4LOawXoWukTLAmMbQl1NX5PADn0fkYqcD93AAW9HMJz3ISpPwBcV99zsxa/JU+TzplU1BC52oMB9KupkpLz483f7ZRnw/7v/DZGOpzRN1RaoAxEcCfSN7qr1eF6DbO99/6JMTNNRENQnIpNHQKsRQ5vKyi4SCAuUyly+NMiaQpzFQ6mFkLDUShua4gua2paed+yedj5xC9XaPLw/d6u7Wb2X1Uh/XF/XW6BoE6lO0g2tBlqCnWSmxQzmmjzKFEXJ+8auUu7ICC15dDDsg1PUZtQLQ8TlVWPQZ1By+WWruxVU0Z4sc5ZEjHuNQ0QB0KKA0Gwdhwrn+GnhBKznFv/7+WNzp7D6PjDXWfnxPAhVRp9RaZz9O1cSKkV9eFnMcXocTDytGYhczsxyT38DV7DTIcxabKhRDYPBBypL5M8ntmdiKGqxhGkQMBvNcDgaCQ3TdDAb5w7BLaqoSCCrJs7AC6DljO1KRvGf/955DfC1PKsjXMLL6vF5G83cxWJhk7mWf4NbYCfK4nS8jg/f3/qmZONlC5ZZV9YwCA5AoQ7UBKrRKqnjYxs5Wir5xM8m4z+5LbtYDs6MGya5fS3lGkubFC6bw1fW52A7CWOa0NBZxJA8S9vzfKPYT8kNfRVIJsBdkuT0DB9Y3R6Ia/U0HlJyA6ivjcA4ftT3wNnAnZ4OdCDvNLaPbsXqok14NzYbhHzZhQTQ63BrBVeNamAPcpfd+xph/OL22gybvLoqlfEMnxAHazpOqQ5HpQwDQOrtYk72v6NdRUUb5iZq+QhNsg95NtJAzK1b5BSnZMzXXFlTOvoBtADXIHyV9D9ndfE8iiWEWvAZJ7ADjD2gnRrX3PSI83ZJ9lK7CT1zWBq2JzXNT1OArArmnR6wcR+XFQY7oT0QX2xNVUr5h48UGBkqZn5lDNsy+hoqsQ+Kak/GwAlvHP/pxbu1ZAh/qYb0AUWStCPtw0ko+a2XrJ0EEwQKUv2VvdxgrAgM+19S1CsLodsC0EjEsbdPYm6nruxV0kV03eK1JtYTiQWKSU8bV0OYDLqWDz1lC85xtm9sNk+AJQXOM2tOMMMR3KEL1RsVEvyUNMwJaRKTFy99Bldopm5xMAfmhCOef8l9w6enNk4+eAVTnpCyQHkE5NQhSo810Pg/zNq8zsvRSgddtkTA7cNBHttTnUqLmKksh12TJowB27kFzPzGJQQS1VcFbeCHx3pWYzCkiD0AjvWXQb4QFyPq4mGag6tkemyYeZ/SXZg15nvnNr/J1O4LjCGa5BJ50CoU0C+X3oRB5n81dwI2vM0KLKDePgf3BQWvQWUFBnlpmlzX2yYj1clC5hIYUFETtoKSr6FAAroousqDHCUuV2AhpH/zDICTgBjaNfkxWuUTRAl9N0KiKuTqCIdjgLwA/cEDwycy1xgqCEzqlyKs3sCAoFEAyPo83skujztfz/YmCWhaymr63cNcV8la9YP+JsAsnZ3Oj6MNrN6IJ+3AVCXSwCbaBho30BcogAzcHzqZLCuCR3LrSbAAapCaTtAhmSMyj0Y0B1Xo861GdLmFQXWDvjHhpgnODHSBtgpI0ucnIYZPws6pv02gB2yow7FAUOL+aD+nEnewB4lUKjPUByTyiznuNITGVuaD4F3V6TIKjS5Sh0a6cofwY5+wvrOUiMNpyFLtoQNtAUy8xq+BVHkRrKB0BNoTbyc/0ZyYshxO6N0ZjDqfLw/aFgxCRo/cHKpdZFKqFUSjrGpaYBam9AqSIIFvRjHxI3nGuOL3pMIse69x5G0td9fhrJ/4IoOWrWxqpm9j536kIwOq3wCffmCaoS6jGoGiq+tg2hdbU8hBBfzcwedxvsPniAnf1VDEiO9x50qSxCYvJZtB2QF/09cDQ++hqE7XSSJ6Hpj7AllOyYE03lSY6vOSfzJte/OBqdFycZnzZPYuaEdcj5uJnTLGie5po5waLKLZLjSW5jZiHZXdM3BtBeOESt8jLJLdBQwHwajS0+y49ZG2gt7R1FmhvW00ssAK2/YLPPi4YGpvb3au/heiYUXJB7Sd7l6zPYl4Hi6GuQPTcvkmQxhTT8OLQel4QCWWdAydNLzWxZkj9hlyrp0OQ4xf2OonnZAkIKvhdC0H0elRKvQXZieR0AzGUkN7BuMzoAeHsa9PbvX0VV7MTSm7znaP0aaqooH6UqYX4LAUqeA5DS15WqfYOU7JgiKMHfr6EimASBZeIAbJXPxdF7DexsZgEEEPagndFFB5fss74K7Puo4Hdt4KqmOe5gjyPW97A618/5l+hH+z/uc+giCPTxNzR86EFqnv0gKtoqEfgkPwA9079Cc+etJD9rnuTk6I0rAQHInoD28VwyfBAMUOlLBiDOihldUwQMQJzlKW0DzOxpNtzlsQwl6sA2aGc8hHZ+LBlTe13ZQKJFlJkcoIdze+bjUNB7SShRmyJ1Ae07JTkIwKUUaCelN4ob9cZB17hRb7AZipQYNffQ5UeQP/oHqHn6Ev6bqeTW0WNQf47t0aUTBPr99qFAck1CFKjzXV8zs2fddhtvZte6vRHLq5YBN0V6eLBRs7VpBhdGEy+7zdqNdtcF8C5raFV/jgjV71JLFZyVNwLfXalpuHeRbyLfgZDhszJjYGZHUQHAwHN6mJmlDYv+QnINALNc8e0DOUMhqJWjCsguEv/+bog4gSBnYn4IcXUfInQSVe60INrlPu80s5gf7GvsdiI/hUJL3ufH2RxSVGOB76GNLxjgicIZE4vQZBQv187oOhc7WEMXsr6ZxZQQX6JKXmI0zmpmtvzAOQ3RQsyVvNfr6FMZ8q9D5ci9nKeoUzSAEMEtrk6SK0McU+H1ED/k8wC2o4Kegxk3K/BDulM5B5rSQEsCkbHcDXHuXktyIsl5rE07EM59AajJaPxsY1REKasZl+FNhILM6aZ1HEVhNBVd9MVZUNDuGajxUOCkXwbueJrZcX6MvcwsdYDCsf4KYFWq6VJA7V9qSVOmSIqBtFJiwOoa3mbDygAAIABJREFULFVVF1i5AcbN0EY7yzdyQiX6M6JjXEY13FsDjti0bud4WB2H113QvHjOx8wPBc2ehJycO6G5MTeEfjkMQmRtlxwnDU5NgNbmN80sJB2+0XfvonOu0eVAuVv7FHQ5+1NO8iK/rK+lg/vWlR8n7APBOOs0xfo/lJqkKkyoqbOhfXYBqJHwNLT5QZ9zvfU8HGVHNYuKJVtqbWqGl6UMYTcYG6QGOVFsgIqKgBJ6gmBmdpHfn0EdjAZJNRFyqv8ArY8VoWBroIWouYe93efd2Xkc3aZNOXmNCpSFe7MQuonewFF8AJQknoR2ZRogJP9J1m2c+g+3xYDhKoYxcX2/DhT4vhQylG+kuMYB4M8QldIFft6bQiWbwGh89DUI289DiaCQeLjJ78NraFCk7wPwJ2s47OeFkkRpImR/v47/9utfCsDuVHIgnjuHUtyoaXVWOPeFbAA578/zKzbAxUxROOwBoa8uRJN8OwCalyHwXdM3BihTq2wD6YsT/fu3AtjWncw9/ZyKgVaX3N4RJ3praG5q6SW+ja5DOCUZU2rUVXsPJ5Bcxbz60G3FoFtnAICZBb08DT1JciiYdS2A71jUAA9q/vjB5DgtqqREpqBnv6NAAlv7OZwDzZ3zLOoPUymjNKy9FcBvqKRH2jNmPCNkXBAK1Zb6ykPJ+1GSr8UqSjMLwIkpPocmo0sTUar2Dccq2TFFUIJLkYrAKpCmvidMQdMXZhqcJoyj9RqYQFVvhD1oAvL0iiX7rK8Ce3eSu9QGrkqBXx9T6nFU28NqZp9fEv1W0H9fI/lhaA5dkgybgu6zbz1Dq0NFx4mzJdH27YJv/30AG0YxhHdB1xsSBdWNK6mEzxaQzjwH8g9y/Os5MEBMhVTjSx6YjFkFitWsa3WAgaGmqbnPhhJ1SH5nBvRM0+a1NddVDCRygB6O5OkA3gPZWt8w9YDIitU1qf4WBCjs0KRaXaPekICrocQo3kPfL540s7dH7/0P2lVAQaYgs448FjLO2j3rhmQwkIy6hGjQ+X9AA0TM+a5/d5vzeggA9xTaFKFAAdxklY2aKfBCoNML8+hAU3NpQLb54tG1LObvgV7tjnrUfFbeCHy7UEjHM0ubkS+A0BzkPAqxNtF6OMtMPF9DXF+7Qsb826Hs51QAe1i3YWGNnAShB0KW+7P+3rzoZr4BZTu/AiEtgrxCcjUzuxUYQ568knxvCyhwsRW0qHdCO6sPX5CfQ3fj2xujIS0vgIKRV6HfuRhHcR+FbPEa6HLg3sKBhiSlIGMivY6+BwYvtYg3yp9l+jxrFA2gObaxB1ZDMOsEihvwKlcsp6HAR5kLQKbCcsOndSDn+mFIYS1Gcjszu57qoP6Yj9sBMiwnQw7R4tD8a5WekTwMMqofRBuFH6MiBrOa6cZH8iwAMXoUkCHyWT9u63fM7FvudLwNDdcqoPmzV3KcJ0jOZ2qU91UoWHF4HKj3oM01KEsxkBYFLlsSApceyLrbA0Pb+vkca13utGJ1AcvB1hsAfNANx2ugwPRWiIIFJKeayisvyLyXu66weeUCslcCODds0CQ3gAzsU6G5tKqZheTPS+gmlmKJjecZkAEzFrDnMAc8oteDutx1whFmtg2kM3MB9RxnfxokPA2F9ew67qdIkEnW9DIABoz0vmv4d8XqKB8AAFTp/JZQyfAd6KJjjkfE09fz3jNQddYrAL7p9z4u3zuS5OfN7GH/zZWh+xVTJQSpQU7kGqC2miBXBpSyQTD2oLqiY2/i/4cg9vlQGf29/vo9aAfTivfQKhJnrEMLBWTPW0h+CwoQxvyBMUfxPWiCHOkxtyG5IMmA0LnDmgqFqf5/bxVDIp+GnvXvzWx712+/RGNzBC7XIGM6y5yPviZwgwqErZn9E0pY5Mq/Q4LxZLSDmi9DoIX4PZjZpb5PL9e8NcZ1HCfOt/cxsyNf4fY6B5DzJnqNtTAsv4ASk7dANuCXoTn9CTMbA0tYXd8YoECt4kGWXDICaPb8KSgkFl2W9P1jbO+gAByhjLdIc4NKegkzO5VqzLcqdI9zDmG2URfJT5rZ+SPcw50gYEpAr78IYCcqgXAPe8Amfp4xem5Fy1BK+Li9AYB1TbOG9rsfQwn1T5vTmDFfOg7/LIvkt7rm3UG+ByUHcwHb0yF7ew9rQDVLQvqt1YfDBpL3VtnHxWWwitJ153TzZnB9QaMaXR6N7bVjhq4rkV4qgujcF4X2nJBwvcGPFyONQ5P0/8feu8ftNpXfw+PZ21lEkZJTxJDCj1KSDiTlEFLO5JSkHFMO1TfHyDFFlLMtJBRf5/MxlRBCrkiUIlIhQtjvH+Oaz5prrrnWnPdj1/t+3t8en8/+7Oe+n/Xcx7XmvK5xjWtcIQaIO4xHmTVwGYCzKdEaoOJ7qzhQGZ/BMh3Yfv/3a4krj5P3QdsydH+/FgLX8FMbmHFk0QwrzzFhZk9kDr2A5GfRVfu31KhUoXIBSOj2BLTW3BUdfwVl91T67mtQsuiYKc7Fzew3jIQJ1gyunATg0bDH+RrQslOCiLFd4z0nB2sGA46LAZLfF3NJM/t4csyCiPZdKwgGSH6dja1gjDHkrfiGCnW1op2a9/Ww5xBhn7nRZCEVY8gebnOIv9gFGmoYv69WJwjzA2bjwfSA8tB3FN7aeiSvMufePIY52TRzK3QaFy0xrMJKyTLWgL725ex5eq8jEz80mNdHt8/iAJFs+YJoX376GyheuYrkbIHHiH6/LiT82w3Ka16L7vqYFTex24Ua1vf5nRe6Pfn9VyGP+8eBcf7sKjSdfHNAtqrBOngFyDbrf6HY7o3IC4N7u91TTCe+G/wWwOGUf9WPoI0p9ZQNF8B34T6sJnVAtk2NbRXxTFAS0rrA/YLYLPO3HwUwhzVVkHD/J6GhKbnNcgVreyBeQ1V6/p1eVP7cN1ItuDE+D+B0qm1lDErAPp383QOU7/T5EFn/EYv80ByXQIt2Z+OzEZSWkDJ2z8Ix20LBfmgF+Qe6LblTIPL7MUzAEyjBYKIPTatewRpiLofcQpPzytsewPmUkml5iJheE1pwj4SKFkU/SqBX1R7asndHeeDTEQBWD4kH1ep7FpScr0JyLlO74c5oe0H9lnkf1g0hP6yhKnhVVTPC4ui2uW0AqRizz2Ne5Enu+23m0P8xs3OcEFgNCsyPQ9PWOApyRFpqdVMiLo+DvJqXhb6/E6EE7YPJ49R0F5yKYbJ1kql7YRtIlflNNh7oM/nrm4+y9Yk91xbKvPcaQnZFMxtXR3kwcbiZbe9rE1g56M6DuuXRDMu4CfJKCxjygIc/ds1a/jLJhRm16WZQ49lfcz1/CxllUvK+B4P0aQnWtT6D5EPQZ/8jqCPg2eh374VUXPMmBM2caCvCASlZV0NDHM4KJRtBBXYw5Df4HaioHGw0cqhZY6aaWWsAKruDyoaKveHnLAnmnwsgFd0bIZIWkCIyN6iJFqlYzOxukm+r+Qw9AZ7PzO732xug6Wq63NqDoYpqITM7wwP9D6MhPuPhsVUexZQtwFEQQTIGDaLezczSdtmV0Fa6poPXAOBfHqu95O/3cQALVsYc4fW0BiNF7yfep4cUtgv4fTXt2pPMvRz9d68w0/pMcjZIHbywmW1HcnGSjJL6gBXMLNf2GlCjnP+VJxvnoG2vEcjzRc0L/JS6/FGImGwJJdj4b7dgZmlXxaC1CusGzNYUFgH5ZJ7Tdx8LQ8UctfYSgPa4QCpMRdcGqm9QFzDCcEiPOZcOsbBFghySD6JObAKo4/V0NHtmjrSsGfg8tN+9GYoBj/G9+2xoX+2AdZYpxT0aA4StmR1I2d7c6NcZoPP+cHNFLeuH9wEVc1ys0EVp9cPgQvGzz9qp6jMi+Qlo9sbFfnsukuuZ2fnJ0w1ZEQScAnXChM6Fzf2+j0THLGZmsWJ4P8q3/xWMNmtgTyhX2sFvX4mk46wyPuvrwA6PUUtc9RH666PLNZyV4xoAgOS+kIhoEiTwegnA0ckeFEi+uFNiKqLYm+qA+iwkWooLoR+IjrnaRBpenLlvVAxadEA58vfQxDmboR2TB5yDtrL/Zb9vBTbqz8P8tbbsYdN1mLJM2CXJF46wdhE/Ri6XTPEIROC2wH7BwKgWg9lCHSuFEj3ovC+Su0DdKGGv+QHJ463dSdBrD2dmqdBwCKUBs4DWliGlO6A87hce574Zyit399cT7HdqlOw5K6Utrata77MGTM+z0nU0mP9m9pgskUzydDPbwl/D9eE++IDz6LlzQym/h6brB5DAd09obQi2jIdA62p4n1lxEzXjsA+pkBFQrBsLMZ9Em2fKddTEzzcG4IOl/XAI04lvhzV2BgtDF+XJVHXxLGhjiomw7NC5zGOOB5n+Za2L9sCyXrUh5H+5XuZhr4eC5hzx/TLJxUy2BaCULi9jONhtBZp+Ub09bCLxRU1Ze8Tvdy7//yZPCuLKzyxm1qsuiV7ft6HPZCqkHNrN2hOqLyK5ppld0vc4psr4srlgP8JJ0IJQNSRiCKVEHyI1Nncy41kkJLsnVReZ1HvjC03Pc/2S5M4QqfM8pDB7wh8nBHlFP0rHUdAiGoaHbQwthLdDgVpp4NOMZo3axkRozxh9JoGofMHaXlCTkbfsuRs6h3rV6FZo84wC+TH//zFEi3Xt81QikI9rQUMwLyZ54NAf9MHP8RaRljmmRFy+5IH4utCwjZMof7kUNd0FJbJ1kpM6m6Fp1w1B3BcgMuYNUOIevuun0R16W0vIPkoNgYx9cf/i51K4fqsG3ZH8OpR8haDuVJLnRAnokAd8eOziWu54EMBPnTCKg6OQEMae/WdBfokHJI9RdT1bjzJpANkgfRqh2Prs393JSdIWYyZIwT4D2nvW0+jaDMxikTLDzP4ZkRUws8upwb5XQurw5SzTdufH1rSSh0Fl8XWTDirrLfYm6JBgUeB6hJnFvqAXUvZBKe6iyMY4cbwLdZ/h4RD5FJKDgyGlyKxQkvm58Ec2oBZie8ju42iG0YDRkF1HjUfxPhBh+xd/jPmgfW+c+GZ+0v1KMQHnuJUqRJwAJRX/hOKL8DjXIp+YxkF6zWCkWGE7Bn3OQWEb9qEaK4bf+35+vL+uHRDNN4hwir+eYGnzJyiBTInvmznc4VajnJ8FSkrizyRWjacE3SOWkN6OeF2aBdo/U89GmNnfIbVYn31TzVyMwcIiNYtmTQBvpopiAXOird6qGSpWZS+ROWd3ptTAX2F5UFcqKBkEh23vgrJtnsx3naKGtKwZmpXOqLkc/n158nsMRHwvAu3xT1KFop+YWZwA74uukr9VeKzcox+Ehq5digxhaxrEdgxVwEcmLhsc3kfyRwCuM7P70HO+kjwmIt8+hJ4uyuhxi8Pg2GPtBAl+RvmM9rGo0GgaNrwPVBSO0WtFEGFea6ujTyWZzpn4F8mVzWd8UF2M/0qOiQtiQGbWgJMyrblTPSjFZ9kO7OQxaoQbWULfn6uKa3BC733Qnvh7v29RAMdRBeFv+eMtWHjPgARSi1pmiCpl5TMbgHkoMjheg96cHl+JkkXH56C1eQ+/fSOkAk4xg0VFCs8rw/l2Jtqzjkrqz2Uy+cK4RWpNLkl5/cddwf8Hyp9T1NiL1KCvUBfsb4pCicoceVuoi/ZZ/5tDoHjpaDYCiiF7uJFgAwNmHTsA+BLJF5BRuvtjfJ8a6H0temJ8k+hpZcjC9xRKXZzOgcpZKR2PdsEFGLAG9L+ruo4q8t/doRx7cEAsIqtSf5zJSDoEo9ebDqVM8+SPoHtOrAHZBk/Eb38Il5G8HE2+sBHaSvVb0QhXloA6Fy+1qCBM8mKok39CmE58J3DC7xAAh/iieDJE/MWVuuzQOUvUbcnjToWUu/ug7dPTpzY8wjJtTWb2V/ZMf4Y25GspZccYpL7bGlpAOuSxJwEPJvftCGCKmf2N5Pc8Odrb5FWckg9DON2J0IvQr4Y5E/L7DMTDxtDFECtodwHwFZIvokm00taZoicuCsOeasF26+F9PYd9tOd+AONJ4iskX2s9FjnsVnRng5Lwk6giwzrR39b4UQJSm8QdAcdT6oo9KVXWsxwe+HRrhmwZJ2XMLFQCb6LagmahbDW+gLwqL3hY3Y32OdKqVvtnPh+kiga00f/Bj61RMM0FDcH75dDzVOBPVCvlR6D1YWZ0LXUGwZ5W40BgWlsxkyIlLp+hiOotALzfv7vxQhblUz4fut0FC6Nr41IiW78IJR8XmdSli8L90D0A/xbJXc1sIoriHCG7KUSEne+v6ad+32Q0KpraQXebAVjWmnbJb0Ie9IEwGfKA72BgLQcaC4VJyBQcTZ0xLc/+DGqu50Flkr/PYpDOurbDGhRbn33dWxv5zhaYWnpvghKUkjL3WZLLW6N+eCeihJlSiG0IKZqWgciO3S0asuvHDbaSc7RBZTXF3l4SzG/PTnJR8+Kvkzu5/X5rKDkIXpg3QJ0Yz1d8hitAMUzAM2a2kz9fahOVIlYLpYlnQEiw4sSzxqN4krXV5o+ju772Tbr/Csk3hsTHGsuf75G8DMCcCcn+pejnWSBld9q2WhyMZAMKWyh5CjFlCdtDsdAB0OdyLfLDWBczs41IbuKP/ZwTWClWhLyDe1t8IZLyb1AekLObOtHcPi6AbZ/4Zdm0bY9B5O3TSOJhMzskeYxD0C0sgWX7ppoBs6XC4p+hmGUdNEOoAanXYr/XkmIRVm8v0XvOoj2o6wg0yfIz/vsfUJ7MKfo6Fk9FT+eWr72nQFZ9rwDY0Nr+3TFqSMuaoVlLWjKjJgeTJVXIu5aCcoEYOSX/0F7Tt0f/3v/NhH7CNkd4h/s/63HW19JrAwCoAtgx0Hfad75+kuRzZnYWhrsoA2o8z/usnXrR8xnl4tkcT1BjRfAk1ekTCI5N0LV8/ByAKb5+jkHr0VbJ6/w7RJL2ggWbxgiD8RmAMZMVSi8qiCuggtCv4Bq2gLqp/xr9zYP+mV4Bdf2FgtMuUBfQDh73L26ytAm4x99vroC7PTR/Yn5oTYyFK8ck77WmCwroseiA5qisDilMvwLg0MzrifEEyXVC7k6JfIJtxNr+f+06PInk3H4+BYV4/B5qcslYhPASVKjorANWZ8FZg8FCHSuEEpXvawztAvXLaM6Doj3ciBgcMAvUvWaSW0Br46ehGP8SkltbZNHia9u7ABDa+2aE1sU4jqmxUqo5z6qvowSt/Ne809l65gR4zh+8tuP460V4zJngBcsMpfSfd4BcHhZN4ow5oJwbqPTbZ8+MQUss4szsy55LBSu9463d1XkDxGfMDa1zv4TI8XhdrnFV6MV04juBnxRrQIHXh6Evb9/4mMqFBEmiPAm6AFNFTFZtSHJOkjNY5EXr98+I7rDF8Lqu9gCAzV32AslHAFxMmcqHYP9dkGooPZk/a2bHUJ66b4KSr5MBvNPMfudEwV1m9nYM40WoBemraALUNBmezcxi77wfkGwNvKr8rE9FwRMXIljPhAoMuWFPVbCK1kOrqzL+E/IDvRJt5UEI8EoDTeLnq/GjBLThbIjGS+lTaM7HqegOfFoV7WGBO0AkdniNNyLvHb8HpIq5zx/zcrjqJcFpUODXq6oiuRNEgP4lOmYqya1yxwckpOU+Q8eOgA0hX+LDTUqYN6E7oK2EcD4TIoNCMebjAG6JD6wgLjeCyOBtTHYJC8Hb/hxHQUWrcH69Ag0FWRoqFMUB/CDZaol3uRNzsZ80APyBjQf6XpA1z0GWeO/VELIe7O/EvPrvAf+/atAdRHbMguZcnxkq6gT0esBHr7lmLUcf2ejrwaLmrcckz0UzUf5Aiwb6VV7POWVS+n3UBOk1bYc1qGl9BqS2OgZd5e/t/v/LJOeveL5dAZxD8s/QZ/RGNIoMQB1T7zb5K//Myc8TkQx0qljPRxlUVlPsHSLBAJFv17FdvI5J6vCYz1OtwpcE0iR5T0Of4QzWLlDErZFzxQdyQC1Uk3hyNI/iKyklRyBKNob2jhR9k+4/SvLd0P7U8XJnVCgx90+N8FM2noIBvYORqOHeP2BSyGRUwOTwwOxUvfQX1AkLXnSiIyQuiyFPZgwS9k4+bwQRIvGaFxPfgz7xNnrbdsDMcBuYBCX7puJcDCsUFj0pvpPkGWlsnaCkWIS/hqK9hCN7zlphUBdVuOjzNc9hqHPrIADvN7VRvwcinVJbtIAiaWl1Q7OOoFTt5wI425L2cSdod4A+Q0B71gnWVnsDFRZhNXu0Vfi5lmBSoh0Dt7tMfvdPNp2P2fPV1JkXlK69XZTRfdf75xSKh7dYd2ZP1topfX0Vn9GtJI+EinCA4v10rQTqrAi2gdaLb0Gfwc3oDku8EyqghSJZx/+YKgZ8CV2yNVZYn4Jhm8bwN6Xv/6dUp+7Z0KDVf6CMnHBjB+i67iX0K7iGGS3TmWFmTyTnyMlQDhX22D9D8VxMfH8DyoHvQjs2Wd8aBfpOVhiSibouKKDfouNe36M/4WRwq2hr7eI0oDj3DL/exiCBRct6lRk7ltx9UJHpZyTP8cf6FIBvsOtR3IK1Zzj1dmcXUGObkkOpUNcrlBjlfUHXzy9IBgJyPTh/0pfTvAr0Dphl1+Zj6DV/EsDKvhae5a/9NCifDPgEtE6HuO/P9G6eCDVWSmBjM7eQqQC6OIBxm7na66iU/yZrdO4zOBiaYXSwme09dKxjaCjlmdA6cTDaBeJnQt5i7rdvZQFH34zBz8QHkTzEZKvy48x9gIqPz1Hd68ea2aEeZ8R4DzQA+WFkXBVKmE58O/yE2ARKTG+BWuw/myFdRllo44D1Jaidbd3kmKzaEDopTiC5ozXtJ6+ByI4WWUtyVTO7JnPBvJVS8fzYya5Nocm7gCxTtrdua2q4INeElN93UlVbAONJ9YMk32w+cLEHuwN4a27jZuPFdakTZD/0590IatNLj18HURXJun6WNZ64s0KfbzxoL27bHQWDrYesqzL+eOi5PdidDA0kzFb+Akh+AcAZZnaP356b5CZmlpLSm0HnT7j/Z5Aly6wAdrTCsEBTm9yR/i/3Ok41s61M7Us1bYfPWcFiAiLOacmwV6pVHVDC+S4Ad0KL3zJQ8hRawWsTh16w8ZKbBd5q6+fwC2iTi0VEgfcNkHXCM357X3SnrA8Slyay+zwoqAKkhIgrp/PlSBsz+zXVWhzfN0i2UiqSL6KbfMTX076+1qwErR9HQFYnabtxkZBlxfBGK7TrRwHGU9D1eqXf/gjaRYZBD3hHzVoezssc2TUVbZU9oURodoj0HCe+M+v4EiSfgpKIcN7SEmUSpSqKz4+qIN3KbYc1qGl9BpqgNFYIpT5wd3DYWxgmC6gl0S7yxtYLLXWiqRi5Vs9r6l3PbbRBZTXFXqCfuA3ndDy88D7Ltyev48/V53k79Bm+wrY6+m5/zDejO49jlKHP4bUtAfm3bwf5/dbusbtD12JQgpyGpkgb0Dvp3uSX+xiUuGyVefzx84xtP9BJkMLytcnxQ4ORigO6rW0r8Csz6xBl0e9n9tf8drRJ1LSQtw+kll6Q5BlQTLFV5rkfphQzC6Id54fkZT1oDcmdW6N47feCLtxg2yJvMiSoSP29w+sesm/qHTDLysIivW0XOoeG2nYHh4r5Y1XZS2DgnI2wgJN/z0AWGcv7MS9WJJwxhjq3XjJZcMDMfpEhAGIUSUvH4NAsM1uFIr43BPB9f49nm/y0V4aI9SloLM3eCRX+Pg5gP2sGzNZYhBX3aOb9XD8dYme/b8ySziVGli6OXrvLaB/qneNiZkHpOthF6c+9IZpBj2OQ/cCXrT3/adDaKULpM9oJUlGe7bevRNfqA6izIngY6qzoBRMFMZvCYRwfnAPFkSei386tZNMYnm/w+zezJShidmMAXyV5LzQ35gfRY6TE1TixFr33O9BD6I/ANQzFo/HvFjezTahZHbB8F9Bp0LXcKzIys6M97l4E7Rg/Xs+KXVCOvg7A/aBYcQF0RVNpBxhMtq0rMlOo4IgWLWY2hVJDh1hzfTO7tyaXZI/NQ/TYLcKNdbYpC0Pf3VWeg89gSaeJlUnnIaFEtfeyqVB/HZrYa2tLfOdJvgtagxdG+/wYyeoi2s+ep+zGFjSzIGYatJJKXnPLCtjUXfPu5G9eNNmBhv0w1z1ZtFJynAKtrcECJWszV3EdlfLfsEa/wZ8r5IarQGKMe30fP4eZAoF1O5WzQyn92Keg+GATNp31MwB4DcnXmNkf2C/gCM8X1vy+GYMpem1V/Ocxj0E389cNdIuYg64KJUwnvhvsDVU/djdvhUkxgYU2Fyim6FMbrg614j9MVTUADas4Cd3Wtw9CF0dOGTIVCs5egC7cEu4keQmk+vuKbzjpSf8aaOrqz9BOqmPC5gH0+xOmnlyxom0qItKFeU/P91m70lX0xK38LmpRaj0sVhmtGWqzJPS6LSXerMISxbGdaahk+Lu/U6qTVmBhqgr3qYdu6tvYIPKlxuNpVK+nG0keDCm8+iwm/oi8v/EqAEDyxxCB/Gu//Q4kHRqVicMQRvWSq8F8aAevLyKZVl4iLlkeWjFXz58C3jWSIVkDlqAXzfz2udDa8wP0Jx/h/rWhFqcLKEK/hdy5n3msXvUfu6qA4J2XDpgKAcZtaBcErkuea9ADnk2Xy7dyv0/QZ6GwirX9du83V536NRBjW6hwEwLyD/l7eAvJ/U1dMr1qzBGD9GLbYSVqWp/Hr9sCSt7CsfqiNeQPwF5mtrIfMz78xfFzdD8zoK6V/I+UoiQUL3PD3nqLvREGSTCSn06OX9avw5RM2wfDnrdDn+FhUEvs7mgGSi0PdRmNd4x4MrYZ2mrMc8M+RQ1rOxxq7TwfUgkeA6kxhpKuDvwau8zMPgIN/ModMwYRiyuif9L95U5WPmCZFuQIsYrxJYiUSucj9A5GstEGdAMD16NjCqQyWhsiBjZF3gf7Smro4YrQ+bNL7nwjeQBEiP8O7SJMOB8ehAryOdXeKF77Q7gFOq/iv3mZRKQ+AAAgAElEQVQJwGM5wh3lwXJDczH2Q11hsaptFz2KxQRFe4mac9axjZl9mxpq/3ooJzgdUSGzEkOdW29gu5DRum1N+/xkiBQqkZY1Q7Pg7/U7vubtAZGRB0JrxHrW7r74MVXM/zWiAaBWYRFWGePn/FxPQNvP9SS0h6q+BlK6xu+raHdZOF8DaroovwqRCo/765kXwFWIioJWtnaqimOcfN3L85WpllHE+zn9duvpeCW5h0mlFxPE8XPsTHJvk3KxRkH8kpmVRDQvcNimMaD4/ZsGFd9C8iBoHTgN7ev6PjQFwCcREVes6ARCBdfgiK2kYoyhbbP2onMTIf99C7qk+b9s2EYR1GC8xSAbwBDLT0W7kNfbBZVgyKLjbJL7mVlVJy4lWHg7ZJ0ZHmd/jGgtQXXE/hNNly08X6jJJcN+EYpAsTo4d44PCgYya+cCiNZOkkeZ2a7sGWIZ1mbLCCXgPFJNrM32nJaHEM0VYXdOyxlQh/NQh/b6UBf3G6DvI1cwvg4qiM0AfW+Pk/ypmX3RmkL/GtYdkj2L/x+K16lSGBAJHYuxfkTZk87ln/k2SIYzWoWVkqPKZq50HZXy+rCPkbwCwFLmimuqw/xUjFAc8DV/ikkkdULm+HDcjtC53uqshywT5/BjDoDyw9Oh73UzSMQQ0DdjMDxHja0KoGt6b2jOxz3+ONdGvw/CjpKrQi+mE98Oa7dN9aFqoe3b8KPnii+yIbXhXiT3A/BWv/2AqXU7fbx9/P9pQe5uDakuHvALex50E8KagX7PQmTKtWhvfDtbvScX0N8aHhPfRU9c9k9Z7pvoPIQ/QC2LwTN4VrRJy2KVkeSakP3H76Dz6C0kt7e2LxtQtkQB1P45rlLxxa6juiS5AESO9ZE3fRtbODdLyeJsbA9oasG6lciggIsVwan6MwRQFyNvocA4CDP5T6dth8XEYQg2updcDaZAwXXcWtbaEHsIzKcgAupAlIdW3EpyO2u818PjfgYN8TPURh2Tja9YuQ3yUZLfhdrs3+WEaodErT33rV/9V7XxlwKMCIMe8KYC1CZwT8UhWL+FwlzJcXHBYb72n2AGAG+z9pC/KRCh+Ev/jofUmKME6bm2w8FWux7UtD6H9zI4j6FyHwvqi3TIX/z+UjuuvnWppiPkFJSHvQ0Ve2tJsBWin2eBEqHb0VWRDnreDn2Gnpj/FVpD3u5/dw/ku3mpv9aloT31BjRrxUcB7EYp1r4EvffjIGXhx6BA/zQAm0VJy5Ks8Cj2a2wym+6a3OueSvISMwuvre/99VoRRMcU1/Kh4JrtwYi5v61JpGIs4UnVWiYrhCnwGQr+fAsD+IeZPWVmT5J8DtozlqCG5aXx44ZQotanGnwOis+uRjc+ux5qjz3VRlMbpxjzx/xd6UBHdrAcpf69K3otu0M+yQ9D8cvvIaKvWFgMSSS05g3FcMWZBaiwl6g9Z9GsTaHT8h6P6XYc+JtxUIOn/2hN59b2UNH1CsiKAVDiGxMy6e3wmmv3u+LQLI/FNvLX8iSkJN7dfz1HZr+Ev4cnAGzZR/xEx46T81Th9kDIS/kySIixm0VqXdT5uT5C8lgz+zwlcLoYEWnAMvFbNceFzbDnzdDTRemYlOxHT8LjKg7YGTCydvLnLX6vvu5PQVsRvaVFFjV+Tg8NFwvFqqFuyEA01yiILyT5eUi80GchVrJpDBj8/v06/gSk+F7Mn/Pd/rsZocLwp9EQhPNBOdVPqa6rmk6gGq4BVm8ltT90vi/g+fEH0c3Zb3DiKhUZxXvzuyCibWjNG+qCilGy6NiX5MbQHvUNyif9Del6QNm5zQapXU+E8vpb/LWPYtEC6DoO721WAG+BRDchTuzNJcPeQ/Ij1u7c2pMqRLc6eIauS0dp7Qwxe9Hy1GRnexd0zh8Lxf+tnIL9llyjzGmpmZN2KICPm9lvBo55rYls/wy01+2TiRFvRlekEu5bPLovVQ/PG/+BmR3u8erTUDH862Z2ZXwM66yUgHqbucHrqCevB7rX0oJRvAKIlF7IzD7qr69Y2PA1f2GSMw3EgoB4zU5nfYJ0RtxxlKI7dNX0zRgMKNqq+GsO8edsfvtBJIUJ1rkq9GI68T0CRlhow4b/PmixCW1jGwC4Nzl2UG1oIrpL1VUAAFWhPtSaieFzQ1Xlr9X8vT/fy15h+QikPJoV3cEDV1c81PnoTgLPveYaj8Te1nA/vsYTd1pNWQZEsMQKkZf9vkBaFKuMUKC7inmLjy+iF6PtywYULFEcl0FV9OCjvT0yw6NQJm9KG9tfkZm2G/3+zWgPaIqREtq16s8/+L++AOoudltF0020N3EYBZSVxB1m9izlf7k8gKP6EqAheLB3GQZay6DP9mXoOwMUjM8Gtc2dioGhFY5doXbtzdD29p8JPlC2kmQEZPfwWXSTj5ik2hBK3I82dR3Mj25LN1B37veq/8xVAaXzh/XTqGuUJ4Pe1NFz9lko3OekVjpccW10Fe8LWnfI34KmgcOvoKDGHDFIX8/3tech1SRI7gIRUKMgtD73DiF2nIrCPAaWC3RAv/oiq0QJryd3J+s6Qt5g5WFvvcVe/79IgpkPmYxe21xobABiDHrelj5DM7sM+T0i4DtQ+3WaJKwGxSz3AJjZzE4NL53kLma2R/th8HvUexQ/BXWcXYH2NRYTSbVDbbJWBP5ZHQ6RGr8G8CXrsWwrBNc539v07+MC0lzJ7bibBmiumX94sv0XtD1BfwSt2U85wXIOlEAsCyW7LR9FFOJK6PwrJbEnktwgiSd/GBKvCqTFuRYsUSCalOudwXIkvwEvjvt6uTlkFbAcpJL7KEYrLALlGG5wqJij1l6i5py9zc/7twDYm1LcDq1lKb6Pxmt7JWh93QmyljoewKdsNK/Wmv2uFH8A8h/+IYCPmlkab48x083on+lLnosE4md9aI5DiPM2ga6RGKub2R4kPwERk+tDhbuY+C76uZrZ10ke6qTbOwF80yL/9Qri93CoCBjOnb6Cay0pcRnJy9H4rW+EJlaqtjNwlL7X76OriD4e7WsFGDinzexC/39ceECpsV8TxYshLqhREAcCO56n0yLlrGDTGKH0/d8J5a37W9fa7Ago/l7YGovCOQEcTvI4AB8zL6iOeK29KphUv8GCYQyyGUvX/WAB8aHovtRa5G7oGmvNTUjQ2wWVvKbS+z8a2k8/APEMz0Jr+QrJcSuZ2TIk7zKz/UgegSRHNllLFHkEj7vG4eR0PBenJpccozrOg8J/JeRzyWOh/PAutG1Tnoc+98G105oCwP/x+Dx+3btAVrWguts3hYrgr4MI9S8lx/dactlooq59/PNJi+VxHPOXAukNyNLoTVC+2OrgoWyx3gz5Ucciujmhaw8Y7p5LLapmB3CNqVOOuoszJvxQjZUSIEV00WYO5esonL9hDQoxT9rVcnVm3b8qem+zQOfvytD7vhHA96xrX/wgtO7/L9prfhzLZDvrEzzrXEKwJt4kebzsjMHo90VbFX9f74XywV6bU9R5t/diOvE9MTzGZojb16AF7kBrBiedBoxL+1c2H6LjgdSNyWMNqg1HxBqmScnhMf5OqSuriW8PigY3JEpdcjQ00GNmaHF6wdptfkW15dCCHB1W9EfMLQAkWwuATbspy4C8uMYDVd/AZopuF6uMUJXrgej2g5C/Yws1nyNU8dweIp8A+fKdmDlu3gJ5U9rYStN2H7AKNQN72gGj5zsy+rkUQG0Nve/QwnwDuhtILnHoeMlX4Dio/XBZSLV0IrR5fXACjwUzu43kH+HBGrsD9lYzs7jq/WuSt5vZ8hTxfin7h1bAydOVSK6Cxtv/YosGKQawrMQNxEpsCzEV2pjCAMpJcDLNE4J/It+qXXPuZ9V/mdc95KVW1dZuqjCXUONNDbTtcGILhcegAcOfQuMH+U4oWUlf33UkL4ICMkBquaBMesQTgBo1Zk2QviW6JPdWmfsGYfVe0DXzGGrU1X3qi3mc+JiENtk4hkzR1FHTEfJXFoa9oa7YO+o08meRt1Iqed7WfIZDeFNmz4LJj/LfUOB5e5KcvBDf9nhoFI/ii5D4JWbwHmguxUMYHmoTrAheJvkvNAqmO6H44gao3fZo9Hc49AbXlftyTPhfn9xuWfcAOMn31X2g73I2tAtys0bE4eaQUvQIJ5Raw4MdIW66G/kulprXP49Fw908nhxlQNdkKHnJEn8BLHRIQt9v6KRYH8BJTgzcRilBgdEKi0AhhkNZsQirsJdw1Jyz20J7zIOmIt7rMUzgpZhsjWpqIwDHe8x7Hsnc+VFCzX43NDQLAGBm70U/vgPgcspyKd4TD4XvP2FvJnmEmb0r+tsLKb/eGCEGWAvAOdbtiAHafq6BLAit5fE68Aso1rkFKr6vnxA8Q+v4ctD+sBYUD5wF4GrLKwCLpISZfdlfWxBJHG9mP/Hf1YhHYpS+1xpFPFAxXIzkmVAc9zKUK8xJ8ttmdhiaeLKoIK4h5ehzJdD1H07js97v37Foz/cESNSxePx7k3J1B0gUNE4KU8rrXaxdNDzCJtZhXIN5oeLpDJAnNsxFTE4yHZXmwBnMA+BeqkMxy0VYpcWA378HujMrwvexkucxv/L7/5asvwEhh3+OEtI8iba9Qi2P0IFJMPee6K6aXHJbACezGVr6d+T9oP8MWZC2bFPM7FN++9DS2unIxueer20AicLOgs7pW3v29RpLrk9ABPFTfnsuAB8yszie3RoSu82Ith1GvC7eSvJsKA7uI8f3h2Kcn5pm9SwK4H7/3Ueh/GMBtLtgnkEzAD50lk9CmyAfg1t4Rog5i8ug4kPMWQB1VkowsyuoAtOgzRzK11EqSNrL8/oWr2VmO/q6H4bWjq/7jinQ5xJEuJtCfMQGaON3/m8S+jtRSp314fG/7f+mQrn9puGX7LGftGQmHwdsVfznozA85Byo827vxXTie2L4HzM7xzeA1SC12HFQMBBjbqhSFQLS1/h9Map8rioxmdEQFicGZmZ9awVQtyEdCyVfP4QqyVtBAccoKkugsCCz3h+xdgGIMdEpywDwBMl1osBiXSjwAcn1IGuaX5vZl9M/jILrWykv9R9Bn9MGUHCYHr84lMSm1exY7fAK6oZJPlkgb0obW27a7kSSqmI7IOs9zp6HWjc77ZvUQMb5MonDz9B4xo+Cl3yxXRfAMaaW9LSlsArUcLojINukxyH//vvQtmeYTPLdJs/BUHAK7Y8vYWBoRQxPZK5N709wKgaUuGa2YP7PAIggXANSgQbSN2Cqv7cY2XM/XBtm9mPrUf/FYNlL7VEP+k/NJYgkbzKzldkd3tHxpQOwrfnk9Ojvc4Tk26zrTTezqR1xGX9P4Tu+AcDn0uMhgv+TaNS6UwCc5+deGBZyDPPD2eKCaW+QTimlN4VsZmLl5xxo9quRwPIQYqBiHgPKBTqgf8jflmgGaqVk4w09L72mI6Q47K2STBwkwZL1bjJUXO54XlvZ87bmMxzCJHYHuoUi8799H3gU7eTkseh2IFOqPIqpFvsnAdxjZvcPHFqlNraeQgzJO6yxfjqM6oDoQ29w3bcvRc+/jo1gPWfuGQ6t0+l6CbTX1FXhVm+m7qvcQ54GeW1m/TidaMqtH/Ga9gqjYixltzJEUKd41NpD6vpQGhD9Icpn+TnI+if2QA4x0W6oLywCAzEcUK/YpAbCjpNtJD9gZuk603vO0udVoCEkF819n55U7g61Om/ncWGcVE6mDxOFPqN4KOrIeV4loVqMP6guuX3RfEZhvVvUzI7zNeQwNHME7gVwWJLgA8DsJBcNezDlY5wmuxeRvA+yOtnBybd0b13NEhsiaijgOeh2pvwKioU/ji7B00v8mtmdUIFtL6rYvAnURbSndTsqi6SEv9dLAnlEclaSi5jZQ34eHAbPOTDQweIoxTFFRbyjZh1eyonhzSCV415QIeCwaI0vKoipjr8dEMUW0AyZnGrzBAyrNoe+fwBYnGSf7cErOVLcpNx/wsx+Ht29jHWLhh3rLVYMOCyB5AlQZ9K9aOdtgTh62UnWEvG9b8Vz1VoMnAHlD2tDxY8tATwR/f7fVNE27K2vR77D5UInYQ+D1vWp6HZPF4ldf45YaDUJEiyOd6EM5ZLRMbdB4qfX+u0+lWzJgnNw7ayIzz8D5WjHAbjQ84u+vbloyQVgn3jNNbN/+HcdE98rmFk22IgwJ7RPxz7brbXTzM5Bc73B16NP+s+nATiN5Cetv1ATx51xzBlux4g5i+NizoJNd+6glRJV7P8KmjX2YOux43PsO/A7oL5rIBQM+jr+32FmS0W3r6WG8aaPURPLlDrrYWYPIRkWneAU5O0n0zywaKtiw0POgbyrQk7smcV04ntiCF/CWlAV5mKSOd/rb6KrVt43PsB6/EVZ8Iiyrl8yoM3masrPGlBifhoaq5Ua1GxIk8zMPND+N4ATKKL8a6gfHgQUFmSr90csLgCsmLI8Aj4H4AzKz3gq5KH4aZLHQqTWzQAOcNJyaPL8X9CohZ9Ae2BJwCkQyfMtyOdsaySLJCvIcUeOvNkq+n1pY8tN24196Ko+T6sbDFblcZZJrMJzLApVDgNBML6BOMlyFOpb8AOeoZSqW0BV5EmY+Bp6AFTQucrMlqNU2Zsnx3wGIi6DouIZAJ/x9eRgaAPeEwNDK0ZAUYlLckl0z7EzzWwN/3mIHI8xC7rn/qzQ97EspY7IYWpyPRU9CW1gQKz5EMQ+kizBueh6zp0DkSsxct50P4OG5rwAtX4Pwt/Puch70I/i/TcUpN8MBZDzoN0u/Qy67Z1FsG4IMVAxjwHlAh2sf8jfdaO+dlR0hJhUy6VhbzXrcIkwiL/Xl6D1daPoOQbtKaLCR/EzLGAKpBb9gjXWOYtAKs3T/blqPAaLHsWelG8LJbYrUANcT06OmQXad0PycZKTfH2POQbtU28xswMoD9E3QQOyYpV6q6U2iauGLMuK198ooPxXj7C2QnBXawaAXUPyR9A1Ozd8WCPVMpyzSXjOzIZ8yGP17CxQ8fF1yTFfhYZeXw99Pu9Hm1AtYVDpHZAWjMJ+Zz5Yjype3gF10P3GzG71+5eDtxOb2QOsLywCTQx3jL/OP0IxXFXB3Z//EOjavBftwusN/vuaczadV5E+Z1BIlpLKsyAF9l8h4vdGfw1vRVJYJDnZzLLkIKWAPB6NFdA21tO6bhJcnIDh+OMkqChxGzKEpElRWLRE9Me4jm3/0Na5aGZ7UT7fT/m+/yy6ifreiEiX+D4bbUZSkfh14n05yBLlEWRshypJiSFbnpNR38EClOOYWBENf9yOotWk/F0WjRrxRif8Y8zopPV6kFDk3yk5Z3UK4uMggjUUvLbw+2J7pyrVJga+f/95yPbgXpKftsRCw/fZ9BqZRHJu8+GVTrLNkPzd4IDDEbAyyt7cV1CF79Ti5uno55rOx1qLgdebhEG7WOPZGwu7vgsR8fNSc8w2hFvtBXh+dbXviedRXZCzZMjmGmIXaBeWXoLsFcfJ1UIuGY6ZGSJpF4EsO8IxaYF30DalYu0sxedToe69TQAc5TnhrGyKnzFqLLlyxGua295Mcilrz9JooWYNpbozjoNEae/wfXsdMzswLk4w0xFuZkfWxJ0RhjiLuDsX6LdSmuLHHg3xWt9B3uIkvMbSdTTYNcCuEGv8vaAtyLqd5Iqh4OZ797iIYJRYJuxDJGezpruuBV+bt0O3KBhee9XwT5RtVQaHnPtj17gq9GI68T0x/MkToo8AOMQXw87C4Rv5pZA6YCoyamX2+Isi09YfIddiDzM7hFIErubHHGBml9e8oWjBLG5IkGpvJsiP8yBogZ7sryEkIp32Zic64spwzYJc0xo+uAD466n2/ynBNKxpxUyC9gEAy3rQPRuUfByQ/O0owTWgFuerqUFHD0NDQW5DM1AAqCDH/bk75I0HQ0f5zdLGNjht1wqD7VIUFtIn/OfSJjKUWM1nGe9AM/u1kzijYiOoCr+1mT3m3/dILTYR/m0aUjaJ5CQzu5bkUfEBfs4vnRKXVKHsEQD7kfwhEoLB8kWxEgaVuJSl0+pQR8DlUOJ3E4AznVR6KgTR/rmsC/lsfs8Sv/2ha4Bqe04xOxQsvB7t66nGkxAoDIj193qPNb6Nc0CJxC8osv/tAF7Ldiv0nIjITdZ501XBX0+wkpoJWlufNbM5ncyuSlL8vNkHrpRyAmt/04C8hwE8jIZIebUYHELMuuFrAXGBDpBqOLSjp0l7+O4XotSpI5/7NtBKztEGVfeuw5UkWCiELwetMxtAdgux8uW9UOB4FtSO30cu9n6GAX5+7IuGvIjPjwOplsQbfS8DdO0cbnWDpEbBZpBC7lnfEy5Bt0B0GtTKfSOkElwKTZE9h2Ohgv2q0JrxTyi2qVGpAxgOruPrj1LqLWRmOUuNWqxtZuM2UiaF4MfRdATuCu0/b4Ls88Ka+kbkVf83UkMd02FmgbBIiyBHpXGFyTt2eTTDp3e1fGtvH0YicKiC5+kQETRGDTj8tJmdTBWm3gApaQMeQ3ROW2Vh0Y/ti+GqC4sQoUdLuiIi1JyzJ5J8Y0jmSW4JrYsPoS2SGUwqTTNDrobOjysiEmwSZIsU436S5wE4JRPrfRfyiA1Eamg77oCykTkAXTV33Cn1lHUHto8MPxcXh+IPALiv53NfEsAilGduwBSSa0B71JvZHkw7J0SCjYMVNhVDxC/JbaC8aRaIaN7Qup7L4blypEQYYP59U9FmyJZnDqvoYKmNY5yo3RkFUD7D26EhyH9A8vhkb/g+dB7fCQ1XXBhaS+PHqVEQr2DtoWrXsOl8CyipNmu//yEC/QsAfuzfbzwzZ1b4zJwIRwD4GclzoOviU5B1aPp4g8NhK/ELAEsAWUungCCqiePrqVDcVEu0AfUWA2F/epTkWpCyerywamZTfL9ZzZ9nA4sGqPoxr1DisuX89gvIDxOsmrVg5SLTYJHOcQF0fd7W81oCsrYp7O++D69xGf+/Jj6/DBJtzAwRsrNC3NTVZjZuQWF1lly3kjwSWv8BnZvpHJMVoRk2vbZEHCC1o8c5ASKZgwDuLsoW6UAMdIFPEL2chdX5mgOy/Qsx1uUDa2zVdWSFroERuKp3QpxNsEddCIBF51iIjYqxDOt8tS+AYpmrkL8+aod/lmxVijanJA8xif6uzNxXxHTie2LYEMDHoCTwH5TqpmNr4Xg3muBoKro+Tll/0WSjHwV3QL7br8CThMoL8hZIlVjckKBq1yQAO0Ib6eLoqvZyaLXwVi7IRS85DC8AM0NDAbOYCFHCHj9kKCh42R+3r9oVHqNmgBsg39RJULKyI7QQpIqIGnK8D19EQ3wPbmxWMW13RAwtpOfDlSkkzzOzT/Y8xlBiNVfP/UDXC6wIJ7uvBbApyR9ApNRRhT/rwz886b4BUp49joiUBQbPs69D/pOpDxrQUxSrQEmJuxHUjn27mW3ha96p/rtz/NinfcP8CeTT+R5I7dRSZlGtuzuhW/BYx8yOiI6bAwoct4ZsldJBTkVPQkeuXSxeD49DWwX1bHQfoaByLrQ7BJ6BEr+A2JsuHvD6NBpvulocA61Z50CJ1aehxGYcrLMqOBkqDmzot7eAksvxxHeIZB/xNQPDQ4iLw9ei9zCkrr7V31Mg4FJbnYmc+4AUNi9D+2ZcZI0LqPth2JpsaB0eJME8YdjE//0VUmaNWVfd8kY0Sp9NIdXSWWZ2T3xQ4TMMGDw/zOwYyFIn+FqP1ILt72t+6w61S/GCaUYAzOwJ3+9SLGU+nIrkSVC8MoT3WNuy7e9OFm1W8XrG4UR3r5LEyenDoWvnLdTgyf0za1AJkxkNufNCSTw3ZCoyQ06tOxA5ILTVrxjdN359sF1AmgStM6kicQyKcxc1s/1JLsTIeqsEazyna3E8uoP1ToDs9/4ExT7x45cKnoNwQubtUBdAeMz9/f8a9eODEFHXR4DUnLPfg6+LVMH4YOTXxWJSaW2rhXDfbzPPuSy0v5zo19rJ0NDSp6FuznC+n0PvAOvBUdBa8WvrV5teS/IwaP/tFGBGgRNfKeE5Dg5bn/0ZWsvXQZvQeQYiu2IUbSoKxO+J0Lr6MBQXrM6obTtZGx6EYq242+gZaL8/AVqTh2x5ajtYinEMVXTZxY8FpLL7jiUKZ8e20Br7rP/tIRDZOE58mzpOYpL5YaqzMUaNgvhlkouZilXBmiXNF7b0//tUm7Xffy+B7mvQe0iuiqar5BIzuzp5LTGxG97v+tYtMr1g5eGwNTgJwC9I/gntvG18jbeBbswRiDZguAsqxoFO7O0OnRNzAtiNUmQH/BGKNwAAJOe0roVEdkh18voHeQRW2JL5jzVFugXM7GOFY2Bmzztpf5U/t5k6HkInfCDyYkuh8dc4SjHC18Uwz2FOqCA7DifCP+zHPpTe59gJyimDO8CV6Iovi+8bw6R2wGxmdgvbVhYv+fFVFmO1CJxFdLvDWbDxpl7IzD7Lro1YKH6GNXZyfDvEObXXEQcESSO+vcHvw3OAIKaZ139+oufwGl/t2QrEcp/9ZIpBWxWrsDmFcqD0tayRuS+L6cT3CIgW5lngLdVUC9MLyPgUstv+vTPJ91o0gBIV/qKsmFjsx30GSrKvQaMe37/ygozVI/dAfr1ZWOMR9zzaw+5KaC3klQtyjZfc0AJwFhrC7J1oBz0TJUpORd4PeTGSYcMdi27nyPpTUDd8bBdIMbozpK5ZFU2QF1BDjvchJo4GF9LKqmB8fG/bjGNoIY1fV85LOWAosbqV5HbWKGLC6/oMutXsXoxAStU81luhacbrQi3Ju0GL/MLoKrNOReY882T6XJL/Y10rnVFfT60S91+mToaXPDF5zF8zoO8xHBsGrx3i52QuUT0fOo8uRN5/9nVQILIZRBgub94ymmDfyrc5l+UnoweMWXtg0SuehMDMLgBwga/bHRVJ9Dc13nThuYsKUVPrfmhJP8UJvJiEqLEqWFyGxy4AACAASURBVMzaBaP92PXkL5LslSgNIa4evuaJ7bch0m4qlFDv5vvOFyEy6F8QEfgTc7XmRDGwb55skQ0DyV1t2Md7aB0ukWD3QaT42uaDX0mmhAz8fIiVPptA6on9TER1eK1Dn2FAzfkxIcI7wol+PV/nr/sm6yrdFyU5PkcC2jdjT8j10SjIYLJhKj3vvymLjEAUzgutNTWvB/43ueQzqDF3989yX0jccJ2/tjuowl78OCV/ZkDn8pUkg2J5G0xsDgX8dZT2priIGIbwbpgcE6vm94dIovMQDTqfxqgdrPeqQQ2anw0ipk6E1pRbONo8nOcgoUA6DDwk1jXnbO26WJtUFuHX8wmQReEHoTj0WyTPhYYDx4rgeEAwrD2k7I8A7h4gvYFm7lG8X00FsCpHG/Jbg17rM3PfbZJn9F3vEYo2FRgmfkeJC1cys/h6upDkL81sBZIhB8taK/rvqjpYSnGMk967Qvvr7dD5vjykIp9qZqcnfzKGNvn8MpLuI/YLN06KDqtREH8ZivNjm5vxTg/fczc398zNIfr+z/THWKL5VasjsUSgwzQcvjMgPvOc91BdK33D64vDYStxMrRfZOc5+HPPAAlQYp/0EyuuhRas0mIg2tueQnQ9kPwj8nOAxpCfB5QdUh0Tv2xszfoKtEHxuj4kHAj2I5tAlosBNUW6m0kubZlO4hhU0fY0qONhDFq3tzSf/0AyHXC4J6Uk3sufc0LKZ+enpvhzzALtcfMkxO2ckJo2/rtn0Y7Xc4893sXv1+kn0AzxDegltSP8lSrchmv+U0i6dim73tw6XjUcliPYfKCxEQt2UqmN2Gv99/E5G86J1tpQiaIgqRIzAHjE5O/+IWg45BSLirYk94UEqpOgLrqXABxtmdkrVvbVvojkmmZ2CTKwfvvJ9LiirUofqEHCn4dyhlgkOwcq5wkB04nvUXEmVDVPvYGA/AXQ1/4dE9+D/qIcbWLxlwEsZ97GSlkX3Iyk/ZNqp4pJ9D9A1iYdT6XomPHgiuTHkG9xfF0SNMcYg6tsR1mQARxoZlskr/90aLEIWNzMrkqO2dJJipWi+341EbIygz4/5LcV/i5G1fCxKDH4J5JW9Qg15HgfYsLvYaB7fkSoqQqC8mc6EWWCfGghndrzc4rexAoK5H9CDdeJWxNnQrc1cQhVpFQljgKwd0iYoED1NMp3/CC01TiDvtsm79qagYJDqFXi/opqJzwZIn6eRkPexevgqv4YgUDOfXfPW4//rAee6/tzLz1EalqdKg/omYwe3fcgyZ3RDIf9PLoDnT7hiei/IAJiGYhITIfovJMq3sVt0rub2df8do1C9DlKnXoH5Vn6KJJiqFVYFQD4F8mVzewmf+73+etvoYJkL8LMziJ5HfqHEI8yfO1MqOUyXKMbQ/vje8zsKH+vi/r9V1PdQAeZ2ThRxO5ArOuRsd1xVO2bKKux0nV4FTTrcIkEW9/fz7WUaqljYRS9t5mhZGMTqGviO5BCLUbvZxgdU3V+lJBLPAG80cxuMbM1fb//kL+Ww6nOrMsAXOaxR9rNcwy6WJZkUIONQWTB08i3YwPNZ/IGkt+A1rGvmYaSl15PwFEQyRTIko0hRent0LnxIciy6qnk+0zPk5BY9Q79MbODnHQNRf9DzezizOdQBSaqIkQ2Nv58NXFQn2r+P4XawXrTAiuZ2TIk7zKz/UgeAQ3gq5lNE/C/GJ49U3POVq2LtUllDaiC0FpQPLkIVAQ5A+pMXQ/tGOT66PZUtDun9gBwCaVYy7Usl86zz1Lq0Xuh6+9y61ek1aDG+uz+XExi7U6pGpuKXuJ3hLgEAF7D9gDZhdAUS1/0x8va8vjPo+Yz2TgG2is/YS5AclxDqW1/iOaaDDgFUhmHfWc9tAltoDAw3VFUEJu6qBZHo0Q3i2xuPM48Bk2XyxBWgnLnh5AhJK3e/mAQ7A6vXxhS0MfD66uG01fgSWsXpHL4LmQZGGKazaHCxigzGwCUu6CAQcuL2jlA4blqCODBAm24HkkeYWZxnnghyViwOJRLBqwMYCsO2H04jgCwupnELf55nIXGS79qwKGvBx0kcUoftody4PnRELWAcrdWjEUJA/aAd0BFz7NqdMxM0L6xKcQDnAd1LMUoktqQkvx4AEtSXQq/R1fhG+exs0CxWqdTL8l/rzezUDgaxbKsZCO2SMVjjIIqwUkFzgPwLkpMdzzUQX8mxDvC+bz3QY4Sv/f7FoUsd3Yzs3iIa9FX2+/7CskXob0pFKvmhrpd/2myb30Sym+Xcs6tJZzhiALKBGdCcdrBaBdqnrEROgynE98jwMzW9v9H2Ryz7d9+ss5nXX/Rn6Gt9KmaWOx4Elr0A55BNNCqsBlPhk7EXnuOCMdA1apchXloYGBYzOIFOa6kdRZktAOFELSnA+W+7gHal6D3cCK0KaXqvIm0keWQ9UO2jK/5AAaHj7F+iFmRHOdw29Ss0XHFYK2iKgjIV7ZIkKNnIfWEMCSNccKI5JjBwN/M/gJgJaq9MgxMvNik2BgF1aRUBUbxHS/5bh8MqQ3jgYIrWbujpISi4syDgH2dzP0uVaib0xolxPWUkuZRyIc7DF57IyLCL8K3qYLeFegqK3b3+74G4KvRuZZTesTn9UxQ2/m4TQf7J6PPiWZNBqSo+o4/51QAV6ObEKxuZnuQ/ASUNK0P2dSka/Ea8efvZNGa/thAhUIUKuoFK6ndoEE9LXKQFVYF/r6mOAkGaIhKWhArkuw18M/lGmvaseciuZ5peBkwwvA1SDUSJ9o/oOZejMPMHiR5AbR+bQEpuOLgsWYgVsDgvlkD35c2MrMvIb8O15Bg51NKmnWh/fENJI+DVO1X+PNMgdaySwDsZ10bsoDiZ4j2+TEGXRNbjfK+HaXE83k4sezv4S1QAf8Yyt/43aUnMLPJpWOS48+gCkEfht7beuZD+kZ4PetY23LueJJ3mNmelFIPAO4huSlEYC4OFT1uTl5O1dAfT9qKij/WeYpnVUUknzazrfxxgjigD32q+f8U4sF6U6E1oqXwYmYQXkjq/PfpgLJwfaWilFDgeY7k/ND1/qa+GM6fdxNE7d+Fz672nB1cF/kfmGkA4H7I5/QwM4vP1XNJfsDacwuG8A1orWvZ8gDjSXcvTEPKgsXGO6Dr70yqO+Jq6Nr8ubloyI97M7qD526IHrbG+qzYKWV1NhU1xG8NdocGyP4OOlffAuALvg+cBvQrp81sIs/XF8fMmJDeANSJy8ieguRbzOz3ZnYkVegOeevW1rVdKg5MtwoFMckvADjD3L6C5NwktzWzY6PDipYYjiORISSp4mgvKojlFMXh9VY3HLYGt3pccCHa530c866Y7GVXsOuTPi1RtLwguTFULD+Isv6cz3yGTXRMKKq3hlRb226rtkA7O8lFzbvefN8f7zAYyiUjrFFxDKDraXx/NrPfOqEYEA84BIB/IDNEFrKyC5gFWh8MCS+Sg6nL9dskd7LyXJYzoKLU2lBcuCV8zhbJ1aG9b3Vo35gCkak5IV6R1PbPfzVf4yalxKgf0+qaJXkWJPiM70vz33FHBYtmIbFs81HrTT2tME0EJwBe8TV1fUjFfXS4BhxbAPiIRQVyz5s2h3LvmPgu+mpbTxGK5OEQX3So33UmFHvOChVc0q7+KgFlDibhxlMANkliwXnC3lTzONOJ7wmiIggDhtu/j4Kr6nxT/bE/7tL+u0Ag104sBoAHoGDsAugiXheaLhyC0C3Rvxk/apn2hx48AuCOOCiNPoM+VXJ8THFB9mAptIHFhMGL0MIa44NQABmIj6+b2Vn4z6Hkh1yDePjYVChZjj+72iFmIPkuSFWRno/Bm7u2baoUrNVUBcNzFwnyoddVShprEqvo52sRDeEcFU7eFUmpSoziO146z9ZCuaOkhKLizNSKeiW8eGCueo+wM0QwvwnA+60ZxDQ/8lZIS0Ob8qpoiJSpAFY1s2rSNT5/PEBeF21P29Jk9PA4j2NgDoAjBK1rATjHuirPgMkkZzZXJHlANXP0+6JCNCJfnkd3sHBAalXwECKrAqr9l2a2bEhcreufCFSQ7JXYx3wgpD/XP6jixvl+e5Tha5eS3AsqME2Fd0FRLecLQ8nHutD6+ENI7Z0GjsWBWNEakt03/Zi4uDIb+wtwL3sglkUlCRZaTs+ESKC5IWJmTygQBbQePwutvTuzvzA09BnC5Fl6J0TID50fgZgaslobSRnswemxAI4dOm4ioNvR+ft8HE1hGSRfZ82ws9nhsRV0bT8CnffxPvscNXz8XL/9KeiaBJpzYido730B+t4uRzLQGgOJFcnrzeyDJP+O9jow3kWXvL9aT/E+VVH8HLugKw6IkVXNDxw/YVAE+1eHSFfWDcKrGVAGqNtsLmiw/O3Q55JaoqVDZkOM/iMz25A9tijWVf/1omJdDOv8LNB7vxM6N5aBOq8mMpx4GevppBr6/DOY38ze0fO76lZ9U/HubshWY3YoDtkCio/fCYxbiWwEqcNj/+4459q34rlqOqVgBZuKSuK3CDO7hO2hnQbgZVNnUpgfcyrKyula9MUxQ8RL/Ltz0XS1fRhtJWmKQeGG3zc7VDC/knohJDmjtTuztjOzMHQv7C/boSlqAxWWGOH99xCSQ4KttNOhBr3D6/vWjeg1Va8fjkCexnvAVLS7UV4huYg1lqKLIClixnsiVRBYEsCllu+SK2HQ8oJS6M8IcSIHQbZR30PXRqtvSHV8XG2BdjfIFi62zNm+JpcMcRPaAokh3EryRDTCmM0Q2eFaYcBhdNzS8W2qEPr56HZNZ+PJJL+GAQ9rAK83s5NI7mLNLK8gqLsMKsiubI1yOO2gDa93kNT2a/yzaNa731CzEXKzKGIsDg23jjGY/7Le5mOa2YhVokaQVIN/U2KKT6NZv+LiyoyWtxp5gu0iDKzCV5s9RShov46vx6fMbB0//sbcYw3xQ1RH6yfRnQG2f3RMGgvOhG4s2IvpxPcEUBOE+Zd+E0TE5Nq/a5WfVROLHb/zfwEX+P8hCO3djDGagnUPqE3oOrQrzFn7gj54hWoldE/wKWZ2MICDSR5sZqW2+7mhyt/voOFyC1MDxqaSPBpNkLEA2xO9Rwr0We+HXISVh49VDTFznAFV13s93ioxdH4AFVVBRxVB3reQWt3wrGk9/bmIClKqBkXf8RHPs6GBgjWoVeLeQXK5XHLngUenC8X61WgbQEqPF3t+PzKcMDjfN8Tgk/cwNFBpNXQD+vG1l3WTyC8keR/0Ge3gwfXz6OIMSH0UbIy2RptcKipE2VUthvcY+0wOqlP8ve4B4Ed9hKYf9zAbRUQfyV6DXMGiFV9Y/fC1QOBvn9y/MbRX3AntbU9DnpA7sBlOFwpeNQOxwhrSt2+OUjQEVOT+X8jGYnxQrY2uFgt/93eoyHt8dF9tYWjoM5wKeeS1AkwmA/6A8QDzQxi2WpuwMnhargGOnB1d/H+4hm4A8H5fx6+ABppuaGZxoXczaL871v/25wA2p0jsHf2Ytczsq2hIKZDcADoHAoYSq3Adz1P5/vZFuWME6FcVzZw5NgsbUM1Pa5QKR46aQXg1A8pgzWyM80heBGAWJwFr5nkES7pRbFGGXsvQurgKAFCe98uHnIEqRu07wed7VTMRIlxCcnXLFP4nupd4jJWzkFkPImt6lXgmdd98aPKtW6w9P6mqU4oDnY8em81jZpd6fHO7/82aHjPfFj1O0QvYX/cLlF/pqlA8sDY0ByagqJweAX1xzNJse6YGjKFt4TmJ6nZZIkcYRvsvUCcQitfhyyBycCO0SZjJIZ8DxotkrYLpCPt0lpC0Su/gETA0vL5qwGEtLLEC7cGeAG4kadB3+lZIdRwjtyem38U4/LgFLRokGaFkebGStYvlf2O+CF5TVK8q0JrZZWwXme7za2/F9NgMcva2ATmb2x2g7zfwCzeiXagJr2mkgYaeE8Z2dTWdjSdj2MMaaDpzH6WGPv8ZTSfM8lDceBVVNPgh5BAw9DqfTe+jLC5+DHUBHA99lstBxYj1432QjeAkxG2PIT+4sM9RocrmwzmI+6DOl1dtI1YC6wVJNdga4mS+YWa/9zgw7vIciq1bv/O/3QldLi7mqPqKUJOsPStgT//bqb4GpijxQxdA3MNt6Ffe18SCvZhOfE8MNUHYVJKXeMUuZ1tRpfy0wsTi5Dn3AwD2mMaTfP/AZvzh9PgB7ActlHPhVRCtHJ7CHnARydnN7FmqRWN5AN+2dkvqzwF808xO9qT0EMjofiW0h45WDzTsQa0fcm87MuVh/ICZfT+5f3uIAA6kXdUQM8cT1m5rmyiywRrJQ0xDKFcxs9K0XSBPkOf8m2qq+Vm8SpLuVSNHSlWixne89jwrDRSseR+DijM2avDlAPySasl9FpnJ8SPgbmjteLx04BDYnicQktgcGV0K6IttmWa2F2UF8pSTNM9CyuAWTEM970Kznh5gZpdHh8QK0bOQV4gWVYu5pDN5HUdCgeqXIPImJmL/5gHfPqgcfFKBW0keCV2/gIL+Ca23NmAlRqk4wjk6NMB3cCCWP8+0XkNmgSwTYk/IiajFXjUKn2EoJNcEmDVWa69KGUxZsFxWQxKVYPV2dGMmy5FtARxrZocy6QgwqZf6lICh7XZvtEnuzn024M/sRcNA/I5B5FAcl6e+ljWe4oAS79PYVhVtBQ3Q/I6/jqwQgI26DRhQzf8HUCoc1QzCqxlQBsrn/fOQYncqZDdxHOrmeVwExaGd+TP/QTC+PszsbpKjzJT5T2AHAF+irOoCcZJT2U4LPAgRPL05F9WdcRhUFBqDhhR/2czOjQ4b7JRyDHU+HoL8rJ17IOVZvPYf67H7qZBVR4fkctJtUyinfB20b34pOayonPb754aUkXFnTqsLORPHPAfFMbUFsY39tc6AHvEJyQ3M7BxozfkgpMob09N31MPxOnycr8Op3+1lAM6mvMABFXMvS56zVkRTRUhOA6wLxaJheP1rIRuw8Y4+FgYc1oJkNgcxqXvX9/XzPsgOLqwZv7Ful1xuT0wHj18HCbZmgOKGx0n+1MzSeDRneREXlf/tJGA4p1+PPJdQLKpboUBLcg8zCzYM6/i5GX53kFVYQ1bEE+nxL0C2OkeWjh1CEudPgvadOCYodjaizmrtQI8Vdoc6beaEzl2YZufcAWAvJyw3ATAjyUuhjufaHPjrADYxs+ui+84neQ2Ui4zbyFQWsoby3yqbj4SnK85Uofyo3+83bzR1TVbDKgVJlY91r+d3S1CFcDOzQ6JDYnvFGGPoznA7H8o7L0Q/p9dXhJqJ5Bzm6n5rbBlfm3keoCygXMDMPtb7xoWaWLAX04nviaEYhDluZ//k8qLyM4VlPNiSvy2Zxq8LVfpzm/EoycyC1t/iOAp6p7BHOA66gJeFFuUTIWL8g9Exq5m3IfpmvjPdM8gKPowjouiHDBTbkVeFFPMpToDa6/eKHqdmiBkA7EOpGK5GO9mrIlzofvPonh8LQ0TdqVTbfC7Jzz5kSpBTirN06u5/e3jW/+uwOt/xWt/toY6SUV5Tr+LMA/HlMdydMCrmAnAf1UrX58VZg5iUCklsh4xGOaCvmUQOSCmyCMl43+wMGTYpDrOqQ1NBsqUQzaBGtfgu6HsPBa+PQ8NG74+O2cj/j4OKoE7ZDfWDT2qwE2Rrc7Y/x5XId4MUwWb42iJoqw+ONLN9ax7DCgOxkucrDvapfM6izdd/CyQPgHz5X/bbc0IF463RKH9qAsyi1Vop8azAn6GkfylIwXEpgCv7EgOSC8MHWlMF5hks4xPJYTu6MY+XNkOjfJuU/P28ALZD9zzchuQa0BChNyfk8ZzIrB0mi4XexIrk56FY7Em07Z+WSg6t8RQPyWpHVcS2z/ut6d85UnVbiM9S1fy0RqlwVByEh7oBZYDW7WegJB8Q+Xg66uZ5zOTfwUrMDHPPxV215+wA7mJXqZoVwEwLUF7bu0Pije2YaY+vJCemFZ6Dus7SGDfu2PwqtJ89Doxfv1ehsSrKdkpRxbwYQ52Pc1jGB97UOTVPct/7/XPbBsBtlPf4KaZC2EFQ59sfoMLSfpDyOJevFJXTnjfuAnW83gHFhT9Dct779/p5qFPqs5CqPbU96IWZGYBDqKGwfTFKyBPOMwkjcl2qAbl1OFWT7gmR3Tv47SvRHQJZJaKZVoRkCdZWvPbloFUDDitwdfRzGAT4R7/9NWj9PN+/iyFrmprv4rUmK7HPAJhiZvsw0ylgPZYXbIQ034XmgMxLcj+o+JQTIoScdz5miuoeK95jZktC5H4OG6PxH05z2I9hNGvIQXAa2mA54jX2JSiGiP2vazobix7W0fX/FJoutA5MMyFuJrkLJM7aGPXir8US0js85vWheMPuTIv02Nujn8/yQkwu/622+cAwTzcOf8/boYlHfkDZtJT801P0CpJGeRCSH4LWloeQH9Q7ylyc563s2NBXhDoBKkx+zpohzQtD3F1nWK+VbVVuZrlbqiYW7MV04ntiqAnCAAXhm5N8CG2V5DKoU36OiqxpPJtBmoF4fAVSA60MkVAjDfICcDnJVW1gSKAnwicDONOkjs2hZgr7S17ZWRfAMSYfqm39OTY3sx+Y2R/iAMKxDNr+f9MCRT9kx77ob0eeOUf0O7kwnmCxfogZIAXKklAxJk6aa5WGRwHYOwrWwvmxNOS/dhmk3ngNm4FsATmFz9EQWVq67789POv/M7Bh3/Fa3+2hjpJphTF/vt/1HUDyWIisutoynSYZ7FPzxCWyYASisRTQFyeRs647JaixjoaUNTP58zwLee8N+TrGpH+NanEBqPU9JBT7QgWUzaPjh1Qqoww+KcLXjpGUSgO4EFJLjWzdFPalDCH1VpJ9xcDewT4jPncucHwKIjQuyPzuP4kZANxCcmuoqHkMGpIvrNc1AWav1RpHUAY7AXQwul7hi5rZGVCH0RgUA30MGtT7MkRyXBbOfQ9yPwupIxeDroPvIelYY9mOblcoCf6Jyc93UXTX4wsgReBV6CaTf4aI43XQFio8A1dKjYgvAnib9Q9gCqjpGIETa4eaBhIHNejuZlZU4hfWjf8kTkxiuFAwBwBYxSC8HLHZg3eYWVxUuJbkvVY3z+Nz0F4yF7odAZ24q/acLWBriPjbxW/fACWWI4MVHpqQevk2NB7iufb4YAsS/GWvqyVQJ4Cc/UmKSda2NnkSPUSir2mfhAoeb4MI4IAhm4q5B55/tvQOM7uf8te9FSLxlvN17k3Q/nYcgAtNlgvZ+MAay7sh5fQuEAH0czNbheSSUOyeInyvQ7YHNbjGiz+LoHsOPUnyCnSHiodj4lindx2mz2swdcUch+h8J7kQVDQIqBLRkFwbWi9DQbTPC/xVweOPQyBf4rGe56kdcDgIMzs7ee7T0XQk/Z3kJdB30Yl9zCyOk2r2xBlIvgkiqnvFG+kaw0ZUsh4Ut4YBsqtBn80GuRzX2kV1ICmqm7oWjIkHf4Kxnp9zt18twvo8aIPFisIiUNWVWOxsRIWHNQeK/Lkn9WvyCmRsPtk/E2ao0BvW11shXijkJS2uAcCqJJc0s/sikjzYf85Pcn6PFattPiCebjOSD6PL08XYFlpnnvX3eQgUC49KfA8JkkbBEcgM6oXPxRgR36ZsDa9Af86ZLUKZ2TlU59BNbJTX/4RcGDoxSkWetDKArUj+3l/L+PdB8rsQp1iMBYcwnfieGGqCMEAkdBZWp/wcGZY3jR8fpJngKbQHadZiGwC7+cn+IvKDmDaCFuBfkrwVCrhiKwWgbgr7M1Rr9uYAPkC1R4WK3RfRKGBSYnUbKNmflqj1Qx5qR/4XycXNLFZmBmIgbj2rHWIGSOWSnbRXiUG/eTP7OIAvk7zAzHKK2vAe3gsF1POy3aI1J/KeYLkW+dwwxP/bUHueVVWqXyXS77IFk6XGGVCb2t4k/wmRMZdZ3o8epuEpg6ghC1jnSwaUA/riJHLUdacAWnM2hpLJd0GDR5ZA05q7PlTsC+vWJgD+kjxGjWpxPrQDuBfR9gXNtfPfCA2+eR6jKSL+21ggE3TW4oMArkF+T+srBg4N9hkFs0AFyKAo+iR0Li1LchUz27X3L6cxzGxvkldBg5H/DuAD1gylDf6P2QATCqYf88cZslqLlcEL+fOMQYTgHwDEBOopUAL2LUhRtDUSUsqvrV/6vwOcrF0dsuMJCdgXoKLyL/xv7ieZDj0CCnZ00fc8m99+EE37e8BsJouv3N/fCeBOkmdmSKiJ4BE0XpW9sLqOEQBYw6IWbieC1kSFBQ1dUOA/twQFJHe0rtXatEKxYO7JTW+C4yTSPmgP+9rfujYTt5Nc0bzbifJNjYeP9c7zMPmm30TyVjOrGTBYe872wtfsb2HEgmQPaiyOiu3xJL8Jka1n+F27+Pmyd3LcWuh208RzBNLBrvDXdyuAL5vZQ2Z2mhOZSzQP0bnuLiN5OZoC3EaQcCQ8z6xQMWNTyLptDmidSAUyvZ2xkFrvG1DCHwrlY5BatZW7UbNCtoa6l64E8HEnseeHCJMDof3/KKpdf1Y2gofwGK/31zs+DA4quqVrxfNm9jxJUMO17yOz07drbA9qMHQOrQVds6ejbS3TQViHo9vxOnydPw7YDNMMOB/ttaJWRHMUFIP9OhfL1RKSFTgU+r57O5+scsDhBPAWNLHgWlAceQoaG7q+11OzJ+4Pxfc3mdkvPZa+H130nR/j55rnB0PdAAGzQfnjVEQ2sBHmhjqhbkFbQRvygPh7Tr/zkT3Vh2Bmj/r/410hVCfIk8n5NlhYzBWMkudZx/8vdjbagNVahKEifzU4PBNmwR7ScwyyvQDE6XwKWn9/COVs6UyKL0K5YW5tCXnSKDYfvTxd5m/jz+ZlTKxw8jbfz8fhudqo6BvUOxEsDYmhVkVbPDmecw4Voczse1COMIffHipyDOZJiCxvMvgtgMO9+PYjiAQfeaj0dOJ7ArCCzSTDwAAAIABJREFUfYafxJ+DBkj8GsBJ1jZ/jx9rSPkZHm8ytJHF5E6uutlnGr/YELE59Nw9KA5i8iT7qyT/B6p+ngy15ZwCtVz/DXXDeTaCAr9tzewxqtJ/mP/uv1nJhRX8kKNDh9qRvw7gUpIHoq303xvN0CRY/RAzQMq9pczs3pHflFDrN78u28ODfmFthdpMkM1O6v/3NLpDbaZFi/z/LzHCeTbUUTKtMBn6TnuvJydGQrvmG6BA4quU6uhWiAT/MZuBJSlyxZwasqDGl6yUXMGfu9WWye7AuJrulPD4D5CcbLKZOIXkrwIZQPIIM4sJ7Qu9MBj/fY1qcQqk6A3WR+tBXqLpMbl2/g0wmiLiv41L2TM0rQQz28f/H8V2ZGiwzyhYBsD7rLEXOQ5KJlZGNEz1vwHK6us7UKK6NOR3u62Z/dmaomtfgPlRku+GrpFl01+SXN7MbjdXBpM8AUpQLvHba0DnY4xZPUkb86RwX1/7v973HkydYmf7v4AXzOzFwOlQtkO5NWXQjo5lWzhA80XWDO+rB++mui1SBeGibCvic+8vJq8egFSUFyEzMJzkhT3vMxyXFvsmOwH2gv/9rKj38f2vCgpYKJgP7BsBO0LdRn+C4sy70fg2bwGRDGkHyDuhuCnE0QsBMHqLeryHWs88j5j0plqe486sGLXn7H8LVR6aLLTHQ1Y//8fcp57kaQB+hUhkQ/J7EHG1CtT2/CnIkivGd6F99Uy/Haz97oe+u1U40NbNpqP1y5TSNgxJ/RmclKdmdrwfUrQdDZHUD1i+9X6885HkxWiTVsFu8QE2dmnLQnHOZ9qPhKP92K9Y5KdsGsT1NTOLZ/isDcXaf3KSd1PKw/0aiGj8lb/vFQB8hepsiq0dHqFU7OdDPv5/B9CxZEHP90pZDVwK+ZrXWPD0nkOmgcU/J7mSqZD+Gr9/nMAieZSZ7dq3rvl6Fsec6VqaxqO1Ipo/Arg7R3o7qjodKvCX2lzm1RLeSeFoElQUCbOinoeKdB8IpOzA4xT3RJM/djy/4kGIuEqRPT9I7saykCY+/utQvHoe9J2fQvIcMzuQjUVn+j2/H+04PZCgY1BxKRCiLRLUCxD7ovFwHi+a1u7lVMfnN6Hv4AAo3p4HGgr7ab/mgXIB6r3QuXoWlAOlRceOxZZjvLORXduQ8JksRCnkYzVvb5F/RAzNhPly/5+p6GxmR0GFwEUhAdHVlBL7IJN9G8I+O5Qn2Qg2H9Z47r8BeU/qgFMA/CLJuWoK3yluRrfAn7uvhOyg3gm8HkDX2KJWHjY/WISq3DsG8yTfF7Je6mb2bUidvjB0foS5fmcBOMuaoeCDmE58jwDW+zedBiXTN0LJ5VJoWmBGfc6dIAXLX9CuxOTIrT7T+I6Hb4RcBXUQpvaijaEL5SCSC0AbUMubnI3iYU1o4zoDOrmvgQLm4hR2k/LsyOj2H9DYC1RXcqmBLgdClcTLoM9vN3Nl0wjvvdcPOUJvO7KZXUpyPWgTCCTm3QA+mStOVGJFyHqn0xpS+fdVfvMkN4C8y69DZniQf583AVjGKgbHkTzdNBzqvsx9/1ej8jyrrVS/GjxqIww79Ov3dACneyD3bsi64Mc2midoDVkw6EtWmVwBWpuWt7Yv47lot4zVdKcAwHOUMu0OX3MeRVvZOjvJRT1hCKr1zmAOFlRypuLIpWiCg62tW/nOtvP7z6MoIv7b+DlkAzYJ2kdHbkfmaFYPucE+E1Fnzw0ljSGRnR3A63y/LM0DmdY4HGofvhcYT5SuQaMchMmXdmXITugUSiX3GpO68jGo62irzGOn3Qcrmtl20eNe6ud+jBf8+7yf5I5QfPL/sPed4ZJUVdfrDoKAwwASREAkqIsXFQyAAoMCEiS8oPCOMDCIgCRRhywYYEDCRwYBScKQURAEyVGGKEgOylIBFSQIKjkOzPdj73P7VHWFU911L9dx1vPc597urq6q2111ztl7r71WlTlpGaaQ/D4sgF0D1tFwScF2dXJ0hbJwuX1MhCWZ3kD5dVhlRNuEEf+U/5Rd44f575SOEcDWWtfRiAaArcMqCRsRhpVQgJqCeSjU0HTrn4LNLwOwQO+DsPXckf74I5LiRMy+7DbLA2xOahPLVryWes0OF1Ikjmrb4x1zocM+nrPg9RVlLcr3S9qX5OHo9r/4X2UN2n7q35nQaf+uause7GiVSVld6Nt8Ep2O1qVg998fYMZ+bzMnLZKStPI1wnhPzHzc3/pQmM9jSPpi/rnotTOjv9+ArUEuoGnyh6Lhj2HszPNy57kRgAMQJRwlBXnMSTT2+JzIGUA6yr7X12Cx6i40s9KrYYSFMvO2lGvoAzTJk/fD5OaeBbCFTNIi/P+Hlb67QXyndBLNHgAuJzkF2XkhxJhtMeLvJPkLWCGise9SQ8REtHdKkvrvo0kSLoosgW7NaJvaOZFG6tsa3WvTvCRG2fVRS6TJYTMAy3gCP3SZ3AuL5YNEZ+YYJP8Fk/k5xc8tNQlaVTRNncuPhWmGzwlbb60t6bc0EtC56NyTdYXFBQCsAZvfN4Vpe58r76KN5vX5YUXj6/x8VoUlUS9EgmxI9DilyI+yhGSEUk8YNfBbk8kuXgzLT20O6/TJG63uCDMNjtf44yU1MqulyXUdDpO7+geMxPAHdMb3cE5H0DTFQ2G1KOaqOs4CsNzcbCQ/jc73MQYFMlkJaNOo90HYtfyPsg2qilANj1UUJ30wxElM0FL3YsXBML+JT8Pu3b1RrCzQhRmJ72ZI0m+CtcR/EgBInoJuhkPTY1JmjlQJlYjGk2xspFkFksfC2FRfgE0wr8JkCJaLtrkLpll2CoA91Wm/uZ2u28gEF3YWa+a+LGlOmDTB/f7eJdgx2RhAt17SmpL2IPlVGGtkQ1iLY6PEdwpU047sC78tWjxkv0Fcqt78D1FvHvQ2rZUzBZmJhdbZ0Is+1X8V2KCjpAX0nOjwBfjt/tMUKcmCOl2yyuDKF6MfBzAnswyKMehO/k5KPO/NYYnub8MSYh9ClhGzM4AbmNXkyzAFWcOSY9bQp8qsqLSdv0EwkAQvfh6DrKzKRElPVL6xGEfAGC+F7ciJSJZ6UIGxD8leEt+HwJKtN6DjMn8grZPg2h721w9WkDMqAAQGUEZiyO+dZWFtspNhc/pZMDbGVZ6o/rNyussFeJKmYxszT57MbTMRdk1/F5bQWQ29zYF7wgLvB2CGZ5ejwEAHCXJ0KpaFi19PKdSVGtGqASNeUqXEl1weigkdI779wSTvg2moAsCPJV0VXmc1EWDYWsP9XEOL/WlejJldxV4R6+cSpMeTvE/S3iS38+deJTlWJkcCX2u+lt+RSlheKteJrUNpwIj0a7YWFZ9NE5RqaIYNlNYefxCAezzRGsa7vM9D+Oxf9XXhP2HFisw2JDcMSUGfi9+QyU+FYm9VW3elVJ///Smf78fD5EqeAzAHyQ/IZCeB9KRVYLp2Jbv7hcyENhB7PimpqFPyAlphF3QdbGYZqeGzGI2cJErN93o7LHE+D0xialcaeeluWBI8TsDXXkOwDoldZF3NoLH2T4IVQ+7y85nicQTU7W8wP40dPBD9DX88X7wh00k0B8D0Z2eFxTd5pHQ6pGAMLC6OE8tlUms9wb+boucBAOpIkgEWo50Cm6NLpSzq5kTYmvphWIJ8P9hcX1RgKJNRa0Skga0jZoV5vgDWtfR3/7v2vm+IJVRSNG0wl79H3qlIcr+w9pZJD8XHqiws+tot7ggZD4sb9pV0rLyj0QtLS8nZ/DQJiNN8NymyIQG1Rf6UhCQqPGFSwA7TewMY4/3nMLZ31xwOYBtJg/I9vsbfBs2Tvz+GjYfXSvo0TW5j0CspN7b+xX8GX1O6KeVasO94YWTNdV9EDwarateody4AD9MkHsuIXVVFqCYoipMupBlIX4sELXUaEW5t2LXyJVgOcVLqCcxIfDeAcvpNXtEq+gzfit4zlYVSa8l4HFld31LQWg0n5ipgh6N9I80VlTUS+Re7jUTGqYAF4duHJFOtCzvKNXMBS4anInxP6wI4X90a3H2DzduR2zjmTACu8iRYT1C63nyqedC9NI2y85HVXAuBzV6wgT60nYXk6ptId4geBMvNNKZXtNZRkoAmBlxtIiVZUKlLVhdc0Qxz10O3SdlLsAXeIFTTnUI311FH2+91FLjUS7qSJn8U7teH1a1DXMmSU5qhD9Cgnb8FTIa1qo/zxxP8uTV62FddO3IK+pF6ACxoOKrJAT1RczmsywGwFveQAK5q82wN9C4Hv0YmyloDAw5HlrX5VZjW7d3AYAv+YLJXxtw51repwnhYIPcrdAwkx9NYc3dK+pM6PgQvo9t8KT7/OWGa/vFYfmv0d3CRr3Rwl7HWZ4NptapgkzJZOLC7RTi/77jYlGJEW8uIJ3kNirtS1sw9ldQx4u8NgfN6cdLbUUUEaEIoaBML0rpYylrtX/E17M9hn9V4+PoiCuh3gBlzz+nn+y8UMJWZyPJKAU3KoStBGZB6zdYcY0XY/FclzZOKUg3Ngmu/sD2exoK9GZYwCHPi9+TeABEu9UTIobBxZhq65/EJMNLLz/z1OwBsTtMa3tS3qWrrTpXqexg2Tu1D8rOw6+d3JJ+QtCLSk1bDhVcSXjsHtoaJGakBZYZp78DMm2cFsBRNGmFQ51xGsjrXf+CfVZ5cU6XDGvC+kPT2/d7AjvkZaBJR34bFEAMkpwI4JkqMnoxOB0j8N9B9DaWSaBaU9ImC5wNSOx1K4ce+X1KtHn+fsUtI+r0XJpPwIOz7/zjsXls+2vadXIKyCKVzYoSPSBpHcgOfY8+BexDlUHZ9XFRzDnm8AJMODb4Oq8Mk/n4C4KMV72vcyQ4rwNUVTevm8lhyMf/ewfm9pgAFP/57YfmKIP0U5HxifEhZCZtnYOv8JNkQP84AgI/XxBJASUKSxvpN8YRJwZ8B3A/THH/R/5cdomJOnOSdiSadF4pUM6G4mFWHtyT9k+QokqMk/caTsAFNOvdKIWO8n05yI0kX9HCeGfj1OQkdmb1wnF7WaPskbFNVhArnVDme+bV2NSyez8RJNB+k35D8Mkq01GkkuPEwFYk7YGvBbZXt1q7FjMR3D6CxS/aFXQBhMIsXGXEbeawr1bhlG8YquIGmNVfUmhVj6ZD09m3+TfLTDRKbqXiLxgYLA848yGnsliW9c0hKpKpAMxfW4lSkYVeGS0k+DJuMdvBE2Os172mKpu3IfaNBEixlX3V685XmQRFmhX2XcSvVINtB0kEADiJ5kHJGSE3BajON6RVtdpRUokE1u+3jpiQLanXJqoIrmYP0xSRXkFTJSmB9d8qg2RLJC5RljuT/tzcAlLUQA2ksuSJDn2nKms+23c5fhfkkTY4en8beWNNAZ867AhVzXs0iqx+pB6D3Tofl0GkFfQfdzOehRtyavAVM+iwgX+h4U9I0est/nJSIcB2ttf7CskKEjxFdhTeStwI4jsYM+R6q5YZAciuY3MxCsILXcjDZm1VYIi8X7Sfzv5H8X9h8PAuAxUh+CqbXGY5XJgsHVBuy5VuEU4xoUxjxcSfCrLAukSKmYW3HSAH2Q7dGbRURoAmhoE3UtdpvCvvOjoZ9xregkxiFv+de2Pp7jD8uknMC6lleG8JaaeeHfc5FDLhPwtYZ7/fHz6Ej5YCm12wNjkS9NE8SZKz6spb1cO3PCrum74P970vDEs0r+D6mkbzc1yGlnRWSfux/XkDTr59VOU1jmR9QWaIsdKlUtXU37miVFcXvIrk7suN1QGnSahgRs5xjDDKeJa3nv5OSL/6ZTISxDu+F3QO3wccrT7ZthG5JjP389cB+TNFyfZTm8RQ67ybAWfL+f60EIz495s8tDuvi2FnSkUqTS2xKormcFf4hKQnJOnhMNh41RrT9xi6SVvb9/BKW/LnXHy+D7m7ji0luC0ucxmuqeHysmhMDAqnveV9/PQ0bI/PnVqab3JRIcxVMxmMagKnIxqfLN73va7A9gDNYXTStm8tT9cRXAnCvpMtIToCxrY+OPrczYLmaywHsG+aUAlxXEJNnugtVIxviY/llMCJRFQZQnJBciwmeMNHjeVSuYLAfOmNtnRTeVQB+QfJEf7wdiuWd6vA8rXh9I4CzSf4DWcJecudeIm7xuH1BSWuTXArWodlUL7xKZq8R5B2FNYiLUNNgpKZQhAIsTl0FFeNZbt1wce4cwr1dpaW+F6zYu6vMe6UnzEh894bdYPqphROi2m0j/5v/zIL6atYoknOHC8IXKfHipdZIMxHHwXR+5iO5L0wTq3aRUoCURGrQzL2PxZq5SZC0p7//BV+YvAJrp2kNatCOXDP4N0Wdq3UrULd50EmS8hVoKNFYTtJeJBdCd8XyxvJ3daHKTGN6RZsdJa2C1hacT0aeU/6Orvc3SRZU6pKlBFe+6VdJPoRq/f+67pQ4UdovKzKFJRdLIwzAgvdN4g0aFgb7xT99AR/G8vGwhVAveMx/Sue8uqBRNVIPCWic6PAE73JwQzUA3/WiSuM2xj5Qpc+cx3keNMxFaxHdCt2Fpu1g7Pe3Sb6GBsV7T7CtD5NkqtJyDdgZlmy7TdLKJD8OC4SAjrxcCMTjZErRdzUJxii5wc/lXr/3w7kVysL5a6smnGuTbWNGPOCM+Nx+8nJQU0h2SUQprWMkj6LroJQIMMzjRgaqaLWX9BeUrNlITpB0Vj5RyGKmGFDP8joEpj1dZVB3IkqkHPz1ptdsJao+mzqQXFrOvGNFy3q4nkleCPO9eMAffwLdrcR3k1xOnW6OouMO6rBKeoPk7CS/pUiHleS8sLFnUWTXgdtGf1e1dffc0erFvLDeTEpa+TkvAeAJ/59Wga0ZzlBEPKLpkO+O7vXtarl9lRVw8yznGD/z9zbpTgEs6b0cgN9KWtXXawdGr18MS3DcheLCWxGzPCDPMN8KFhdeiI78WdCC3hzAGnEM7Qm6CbCEay1b2t/TlESzA4DdaDrmYR09DbaWiFFlBJiCW2jdUr9ANiaL99NW7PI/ihi8XhTLd64E49V43TgNzg7295XOiRFOonWS/xBW8BqNAoNqlnTUSErqqKFJGRwIu17+ig7bdjKMIfoWjVHcWie7F//qiqaVc3mD3M/xfqxlYOurU2Br1+ALMAF23UyErSPD+zLrL0nf9pg8FO8GY3I2kw2pHctRkpBUc0+Y39IkZCYDuEIRoULSpIrj57EHrOi/gz++Br1JiG0AW/vsDLv+50Rn3RkjxcsmBZP9JxSn/ggbJ5omvktl9pqCWQPxWWCyh6/k1vm/Qrbj4IbcbnZD2nhWea2pQks9P3f2ihmJ797wCEy/a8gRqt4scMYuwOHw1hN/PA6madb2OZ1B0/BeHTYQj6uoSHaBCS7sEYJm7o6wgWlhFLtI1x1zZtjA/AWfRKbAdMmHAintyKWDfw+o1AdtA7Q2oms9MKrUqWNH73clf6pQ79cTRZsA+D06QVwciKSg1ExjOkabHSWtgcaEWBOWlLkKxlC7GVahTUWTZEGdLllqcJWi/1/XnVKli9sISmPJTaGZemwKG+cfw9CNZynYCnbPHwn7/29FwxbhACUwvVARNObGqlIGSG6xF2MAvbXKrgMzbX7H9386gHvQg35fHxjlgemo6O+QpMgEZZIOo7UOvgiAAPaWdE1umyaGtF3wz+KPJNdWVnYlJOBipsnrkl4jCZKzSHqIPlmrw4RaQ1IsvfI9GkMvry38lrrlzN4heQyqC2vfLXstd+5FTMx4P7EhdyEjPre/eMweBWvTn7tk33UdI3lsl39Cw0AE6AEprfZlCOur1Ou1kuUF4JmapDdQI+XQwzVbhX4+GwBYgGbQuBsSNDQBUJF+rqQHSeY7AT4HYDNa+/wrKNZ5TtFhvRjW2XEzcsl8kudJ+hpLCuKSllZLHa0NklaAEX+W9VjmJP8fzoHNAQHnw+bkk1FSpGBFATdxHkxi6Ed4XdLrPsa+VybjEg+SC0sq7RRTOrN8JgA/qBhPZ1YBcUzSs+xotydDiSSasvmMplMPpH+OdfiU/44TaPkEYFuxy0M0X5iYhfxQvIGk2v3Sip/boLsAtVX0d0gs3ohqgkdlR00CDoWN5YtJesnPbwysgH4ogJ3auu8DmOt2YKdoGpvK187liZgqY79uAOA4mUze1tFxksl9igx9c2giG1I7ltckJJt4wnwMljvaCsBPSJ4H4DRJf0z9n318OUPSZugx7qF1pN4K4G51/HCqukJTOvdSMK+k82jdKoG81qSIHYqdKTJ7SYjHRZocyQaw+zfeplI+kOSOiePZ5wBMIPkXRNcagLHq+FX8Bb1rqddiRuK7N+wF0069HdkLLiloqoMHfW/635+AJX/idsqvy919Y3hC+k50JtcNJf2+jXPyY8fB2eOwpO3ga3GF1BcvO6DTej0FwAmS3kKCC7tPCAuHRTPNmGt+2A1yG4A/kzwJpn17bZgcK3A8rIoVFtyb+3PfLH1H70hpR+578A9QWptKX/Dg+B2Sc+aTcAVI1fv9KizA6sU8JqAvM43/RDQM0IYTG8MW/HdL2pxZo5UkNEwW1OmSpQZX4e8q/f+67pQqtlgRoyh/Tncza7CZAU2H80Iai2y8/zwHYwoMqAFLdYiwsHIdJrR2zsdTd8BmHglV7vFJY1W/Sd0SzIWOodicQ7D/OsyJrOFp/Hfms/Uk3fWy9m7aU5zZ5+iwzQBsgb+YpB+T/BDMgb2pvFJedgWwwkj83FM+ll8C4CqS/wKQN0cdILlSCK48GVgUJD5EclOYDuRHYW24t6KjC9wvkq8dTyjsAdNejVmdcRLkIXSYlFNhhayMz0DisfaQdIj/PU7S+eG7ohniXSvp+nisyY11rZmv9YCUVvtCSDrRf1cmCz1R+QFYYPcaOiyvDwP4TrTpnSR/AZOwitf48edTKuWQQ+o1W4WizyZZ31vS1STDfV3Wsh7jfnZraue1WtdKOHSKDuv7JO1a8v6QZFqv5PVBqL2O1hS84wmLr8Kk046hex5FmCrp+Jr99MX6VTOGPgA84WPsRQCuIflvGKM24FaSn1SBaWAT+Bw8tmKTUnm6mtcKwQYkGhobOcSlN0i6tIfPsRKJ67G2YpctYHJ+3/PHN8JYxOF/rTrPWKboYhhJ6VqUF2oOBHCIsj5iu0rKm4bXddTUYT0AH1OWDfwiyR1g5po7Rc/3dd+T3EvWOVDX7ZA6l6fgJU98BjLeKHTikCbn/nlYwfJ/YOPqTOgwdZvIhpSO5cwa6P4FJQlJJXrC+Hd6DWz8WRU23n2L1qG5p2pkJ30fb5P8cJwr6wELw/JNS9IKq7fA1oi3liRZazv3EvEKTR44zImfR6KPnyMvxVcls9cY/v1cRCvKDsbbrJcPTB3Pyq61vF9FQIihW/OXmZH47g0nwly/H0BO27olfJPk7yXdgGJn7JPRaafM4/2wgW8yyflILiZv828BcXAWEB5n2qZQnWhOcWPeA9nW/ffCWFCjYUnU4FK9NoBdaK1rV8Pcx4vYUMtJivWnrveBtnUooR25jcE/oGbyaxMvA3iApvEUt+/lCz6per+Pwq6RRolvkguoPTONGWgPr/mCZCrNJO9pWEKhF9QmC1RjOIn04OoSlrT9M7E7pa4YwQ6jqAhhsfJLmPZeaFvNj7MXwhb9NwFYT6aNCpI7Vxz3wwA+KulaWrX+PQlFwl5wDFzjvOa5KqTIYQTULbJSx6o2cRCAe/y7HoAF101YnW3go3HiugY3AljZg9crYUnhjZFtd/4pbI2zGozF9TJM6izcc6Axh/dHgVQQTet0U9hCOQ6y50CnQAAgU9j4EckvwZL4l+XOeWsAp9J0OAHgeXTa52N8B9ZK+gasWHUVTO6mFV+PugRrDmfDClTrwRKYW8DM5eL9tdWltAlMpgMwcsH50WtfhrX3X4+smW/AoA8HMBjoXCbvYBgOyBhcPYMlBu/qsBaPgvnDhDHhHZjh1CdhrfXhcxkD6+qMzUUznw+qpRxipF6zlf9a/rPxwmIdu24QStPQDNgSRlwJiecbYev3GPtL2jx3TmfC1voBV6Jeh/UKluguq2PcNgrAU+H+9bnsA4X/6PDgLR/btkDnmsknri4h+S106yrH415brN8Uhj4kBQmIST5PzYns9zEWwDdIPubnXMTiT8U9LDe5j7sWYxTJylTqjjuSSDTsliOb6OvMIJOS9DnWwdelByKn4wsbT1uNXWTSFYf6Tx7jCp4LmIasPv/skr5XtrFjbUXSbbIOjnWQ9agA6jtq6jBNBV3QHl+0rbcfcimV3Q6O2rk8ERvD1kVbS3qa5CIo/v7qcCxszj8flgD9OoxU10g2RCZLNxa2fpzsMVBIljdJSNZ6wnjSdwJsnngGtlb7NYw0dT4SzSJh+YNbfIyJx5ciOawuyLqfQJPSXRZ2HWwJk/N5XtJSue3bYvvvCvt/lyB5C8yvodQcu+C8Wyc5MUu6GgX7PPJr5Unolg/8WHReSeNZ2bWmhn4V/WBG4rs3zCypstW1T5yAjpFaZTtlDK/QLAtrW54MW4idhY7kRF9oGJxVJZpTXNhnkRSzBW/2gedf4f+X6WLeDlvEzQMLUnb1IOYeWBL8PH//2ySXkPQIMKh/1ZchQBVU047c4uAPVEx+LaOspSqPVL3fVwHcS/I6NOucWIsNzDRmYNhwjycjT4Ul0V5E78abtckC1htOJgVXqm77r+1OSflnEhcrG8Lu46Vh7JNzQ3K7YJvf+OLi5yjRcqa1lG8LK4YuAWM4nIDmBkOlILkCbME4H7PyD2OQk9ZIwGao6OBpWPBKHataAY0ZfTOsPTAkhb8XzncYcRvJJ2DJjCtlushlGJD0Kq3F9nhJh9Dkt2J8TtJn6GxGD3TzjM0qqaBbYXqp8yLLVHkJOQYpyeVgOqAvS7rOi2efRMTSlpnSLRPGBZUw+iW9Ckt8502+wrHmgzHk8tq6q0XbBAOqV3w++wyAQQOCeY0kAAAgAElEQVSqBphH1so8UdadNYUmzxSfzyhYYnpRZJM7P0EOrG7pr9J4H5C0j2+f4sOxMYCjSF4A4FRJDye8pzE8wX4qgNDy+zVJt5Zsuy662XZxAqzQ4D16PYV0kfT5yLx0agtpqddsDdooLIbzKW1Zj7Z5HSZbVaW1nNHrpbG5P5vb5nuwZHeVDuv2sI6uV2EF6ZBsfX+0zfnIkn3e9ueWw7uDLWHnfYCkx2hyhmfmttnCf+8ePZdPFJUWcH1u/W1ZAimHWoa+fz8PSVoSKO0ULTMZ7QWlJvd1RIEcapm4SCfRlMmRhcR3SqdDCk5DsY7v1LZjFxrxaR90zwkfyxemanApyXXk5n0lmIkmkfOGH3s2GCktj1Td5DL8nibNlDH69Hm47XkoEMRSuh1q5/IU+LowlkP7GxJNTQv29WeSM8nkOib7Wi1F734QVbmjhgnJFE+Y22Bj5VeUlT+9kybZA58rJ6GjXT4Fxi6O585H/GcUGnTgFWA22DUwp/88CSO1ZsCW2P6S7iL5RdhnPWBPJZNVhgpxHDsVto7PS98VyQe+j+RxaDCe1eUpPY64PnzXPj+uIuminv+7HGYkvnvDFTSH5EtQXsnvGT4ph9a/1HZKwKren4a3N0t60oPH1kFyEwCLSzqQpun8AV/gB1QlmlNc2DP6lpK+HT2cL38+MqPIc/0HJD8LCyQDdocli2L5kSQTxiFC7eDfBG1MflWgtbW8Als412lLxnq/gLGSij7rXyPLOEiCmptpzMAwQFLQkj2OJgsyptcCRGKyoNJwsmFwtSCA1UnGbKMzkJgoSQW7JaBuAHCipLd8Yr/IC3sbADjcC2Q/CEFqwTY7AZif5PEwx/GYNbcjrEJ/u7/3TyTnb3rONZgFxgx5D7KLzxfRgMXgqOvgSS54qUaPrm0o61beeExr8TyW9evyy7Ck5UKwhPwVAKYoy4gb8OTKZrBCE9BdrHjLEyahLXM+dHe5hXVkl1SQJ4n/ijSN1JOQTZy9AuuuyyfTapOHLJbNeQGWRD8RHebWuihnbsUGVLvCEnaxAVUqQlDzlCdun4RL10W42M+3souQpse8Mcpb+qu8BgYf0/TVJ8MKECfDEqh7xuOHpAk0Fup4WNfWNH/PuUWFqT5wAICVZXrDn4Mx1rs+Y18XzQ5gVdh38X/oLqxWGrwjjXQBGpPpeNj4/wmSSwNYX9L+0TbXwPxtYnb5zyUVtvL2kvBus7DIxJb1hP3sBfMtyEt6vQm7hwfhsczx6GaLx5g34bDvUdTSLunNggLcsEEmIfnd6PFjAA7ObVOYKGpQwP06bC31R3QKmWWF1FqGvqyoL5pZ499K/q+/+ngXEk43RfNvuJ9KkbuGdleB1FwPSGHiNiHRVMmRpXQ6pKBQx3eIYpfJsITcXeiPzDURwPeZM/7MJS3PhrF6Q0fvlijQRVanowZFrydgRwAXktwKWePK2dCDcWUNgtxpSrdDylxeCxZ3ab8sqak83qs+Dt5LI+88heYyWkBF7ogNDHSVJh/IsmKepDCGngrgQQBf88ebw67zDaNtg//d7DKiQyPQpHI/DlsD3Q4jaRwR1g4F6IvtT1MBOAxGQnoAwG6S/t70vNuGr+/vl1RnKFwkH3gZLN5pMp7V5Sn3kRu0+uvPe7J8RuL7XUbQ9YkTi61q0ESI2ymB8nZKAHjTA/AQpBYyw/sFTcdpZljy5kDYouMEZNkXRYnmcN4pLuy3lyTHt0MCi9QTZ3dFj6/zm5Wdp/rSlu4XKYN/Ktqa/ApBcm/YwHYXgENoDuonl23vyY5KbTnfrpcFUXhvEzON6RIkvwPgrIqJerjO46OeVM23w04lubT6kJ6pSRbUGU4mgRUGU0hMlDRAitfA67Ak3YuwcTPT+gsMBhbnADjHEy7jYOy6OPH9hicIAAAk34M+jTcLziOwXk5TcyZsfl9lHTxLwxZJVyJxkcV6PbqhQKVb+XBBxvI+AZZMmRmWxPgygP1JPitpXd90J9ga5lcyI8nF0a2V+RNYq/78JA+AJRvzbc2XskQqKIDWSnkwzKdjAMVMoFGKZDVkEgCNdS8dj8IK5LEm/0uwTqiTkcbcig2ojlXOgKoB9vcC3q6wYHcMjAkXY1EvmtThK6hu6a/yGojHka0kHU1yLQDzwMahM5EdP+CJ0l/CxrqdYOuz3Un+RFJshtgPpsrZ5JJuZzlZY0VJS5O8X9K+JA+HFXRi1Bm8p5AuALtGdocVSSDpfpLnwCR9AuZVN7t8JBcWW9HQlOnhHuTrwEpyBa1rYhI6bNRw3y8e1g3IMccjxOuGZ0muL9ck9nuyp6QqTbc53+nRiG3pscRBBftZPNqmsMiNxAKupB388ZKwNclpPo78BjYX3iI3ZZMZVp4A4PKaQu/csATGHejIA4yRtIofayLMWyDEm2eRPCm618O1MwCTtvy3/z0XgL/B5trQwfEWyXdQ0cGRiBQmbiqJplKOTGmdDiko1fEdgtjlRUmX9LuTlKSlpINJ3o9O1+CPJV0VXmfHMDx0G4Vxpmi+rzrO3wF8juRq6IwPl0u6LuX9TeBjEJDW7ZAyl6egrS7tzWExz7f9PD4EkwVqiqrcUbKBLhM8YcryHjksISn+P/ZlrhvRi8KnwObHRbxgt11UTKzDIrBuhT/BfDOegHUWl6Fftv+psJjyRlh+5BhEifx3C14QHY/6Ma9UPrDheFaXpyyK4VvNVc9IfPeAskr+EB0rqZ3ScR5NS28uWpv7VuhuK2wDKyrb/vwvdrMvbgaQSTSHF5TmxrwzjNm4KToGXZ+FDVRfaXrCJMfBGBP305x5P0Nyfw2RJAZrHMYTB/9UtDX5lWFjWHvgq76YuxIWGBbCEyhHw9r+gxnpzpIezW1XGzxUQYlmGtMxPgDgdzTTx1MBXNXydZWKPWGM0eMKXpuGTuDXNuoMJ1NRZTCVmihJRakElC/yN4GxtK+FySrUmvH5HHEScmw72MIsMPPWgJmh9R0gleC9zqBYFNkxr6fOC5V08Eg6IHGRNQndenRDUZiOUehWrt70UVuBpLd8nn5OJkeyUPTaFFgLaXj8KHJrDUlnk7wLFugOwDqU/pDbpkoqKOAQAP+bf28Oj9HMq06CjRs7IGKlNsSKkuJC/CUkfydpOZIPwZLgQDVzq9aAilnm9M9gc1GeOX2p//kCjK1chKtIrpZbAxWhsqVf6V0uITGxDoAzvPCRkUahGaNtCeAjsIBteUn/IDk7jHHeVuJ7fmbZzJnH6mh2vua/XyW5IKzQ+cF4R6o3eE8hXQCmd3sHs229U3Pn/Q4j9izNT2EkFxYba2jSdHoh6eWCl+9gZCDM4pbkU2Br0iI2apN1w/YwreBj/fETsGRRI7C6yN0Ek2HyEkfC7uktYd0G68MME19ESZFb0jfZgPXrRaGHARxJ62JaFVbQOQJubObHPRQlhV525Cl+VHC8ZUkeJtO83Romb/WKv+9g2Pr9GD+Xxfz5k2EF08v98droxGVJHRwNUMvEVQKJhsMrR7YLunV8B/W2W45drid5EKxYEbPdGxNOWGD8md9G0hXoLjiG11rtMPf5sG5ObOtYVTrXYZuUuTz1eH11adOYugfKvB9ehxEke0Vp7kjNjF9rPWES8RrJsZJu9mOthM78H3AUzCjx136e95FMjjUlfdnHhI/Duqp2BfAJmqn6bXJZuAj9sv3niOLIQz1u7wtsoYjruMXHo18gq5ces/lL5QMbjmdF11ocX99J8gh01gU7ordYuxQzEt8NwKwAfBeUdXzv91hHSdqJxS27UAFzTdJhnuB4EZZw3lvSNW2dU4S3PAgMFZt50N2ee5ukzyBibfiNPtg2owo3ZhmTc8VcxTefHG+CH0k63ye2L8HYgMfDkhWtgvXtyG0dZxFJf4sCon4nvzK84YMe5E7dNdufAxu0QiC5CSyBlf+sC4OHhudWa6YxvULSD2kySGvCPrtjSZ4H4BS5xNAwncfW/nvlum3bABMNJxugymAqNVGSiioJqGth4+XNsALf10kOBvdqbswYEgsPwLT3LsfQFEIBY66c4PvvyzuBxTIMe0k6AEheZBXp0Q21SV+ZW/mwg6bhuz5sjXcXgH+QvEXSLilrC2ZlEf6BTnFpUBYhJGrjdVHu847XQ8/UJL0Bu0aPgwVM02Brg20K/reUxf7oXFJyEXSC2DeRxtxKMaCKmdNzI2JOkzwGFYnQ3P18Eyw5Pw3lOsdA774YedxF8mqYl8heNJZ1/v7YCMCRccHejxV04dvCyciymfOPAy715OqhMDLENOTGMxqz8iFJx/rjMSQ/J+smSSVdAMBzJJdAZ437f7BOuhg/AHAzySmw72tlmKdCF1oIUN/LlgqLTNDQpHlYnAEL7AdIPgtgC0kPRrtKaUl+wRNlXQjrBgCrKadxylynh8+Xn69JxKegqsjdBLPJukgHfP09iVYgPAsWV2yGiiK3emT9yowML0d3gX8fdBd64wLHbbB59Jvq1n2e4vcDYNdxPH+/jWIPkc9LGhybJV1BK34C6R0cqShl4pJ8ANVjbJwcH045sodgyf5BHV90xzZtxS5jc7+BAsIJrXMgPwadE71eavxJ8mZJY9lhdAdkmNw0qcDtYcXS+2HeEPmC4YgEK7SHG87lKei7S1tGMvgwyVkUyUD1gsTcUYrxa4onTAq2B3CGr9EGYNJE3yg478dza85GsYffdw+SfB5WzHgB1hW1PGxMjdEv239Wmt9IGE9nix+rubZ/W0VcwLzlgKwO/zQAq5XFCQFRLjJpPEu41r4DK9D+wh9fA0t+t4YZie9mCALw88MqRGGxvCpMH6hNM62g6X1Ykzf5BXQNAJAcRXIzSb0kg7pA8j0+iR0H4AKY7uC+MB2moLe0AICFkLupYYPE7E2PmVLxZXdL4RQAJ+QW02FAXBfAyZIuIxm3rbaJunbktnARvJBA8gJlW4PaxOI052TAvs8losdFRZjZJcVGP2eR3B3dKAse9m5wbilmGtMtfDH/NICnYYy0uQH8kuQ1kvYYznOhsUXyeAHAgzIGb5N9Vd3TrRhORig1mGqQKElFlddAq54DMtmIk1HRndEipkrqRQuzCGUyDFdF29Qtsor06Pppty5FLth7AFZ4ereDvTk9cf1NGKN3H1qLMpC2tsjLIgzkfi8OC+yvR/H9Ng3Z9dCdJH8Bm7PihO2F0d/PoEa+ocFif1dYUvIRP+fFAHyL1lZ5uhKYW0ozoIqZ02cqy5wO3Ror+fmGhfw4WFE8xlGwxGmlxjd69MUowNawYOdRdTq5MuOPpC0K32mvtdly/kcAVyfMEYf4muoCkpfCEjiv57Y5HlnDx5cLnqskXTh2hHUeLEny7wAegyUz431cSdM//bw/tZMKNI1bClBbKywiLWF9IoBd/HMCyVVgn0dsMJnSkvwbkoeim40aB/m3o9ukM/McyQNh33+sp76rpLzsUh2qitxN8IYnrv9E8tuwVvnRkv5IcjffpqrI3Tbrt6jQG8+Ls/h8uCILCFzRODwZJjMZro+vwFj7eTxJ65yNTSCf9L9TOziSoGrd8fWa7AsN5Mj8+x0tY+83RSB+PRTtL0P8QkuxixIIJ/5drQlgSdg6ai3YGHROtFmp8aeksX6suiLG6TBm7E2+v4+jo5c+0lGlPdxkLk9BW13aj8LYur9Glqnb6B4jebCk78FzR7nnAlKMX2s9Yfy5bdBdxN0q+vs+mGzbGH9cdA8+TnJFANM8XpwIoI5cEZ/Hd2Hz2Yqwa/ZW/zkVBeaWKWvGGjyFaD0Ji9nD4160/dsq4gJG7sh35IcO2RAnbAhggegY4wE8E70leTyTdA3J2+HfPyOPEVm30Z7597SJGYnvBpA7vdOYMktJesoffxDm4tzmsQK78E74Ys2PNRNyLso+OOwISzj/Gp0KyW4wPaZWEt8wbe3PyNpJ7wKwOuziHqcOE2QtWGVuYWRv8pdghjhDgRTd3L/T2ivWAHAwyfeiRR3sHGodxr3Kuz+sfedKmF7WzpKaDFwxE2Mo2/jzbet1xZgrSO4J4OewAX1jAJfTjXHUMcApDB6anFjCQmy6BY0Z+3WY1uXPYGZCoRvjTzDDm+HEDjC9tyCf8AXYIvLDJPeO2SUJqLqnWzWcVLXBVNimLlFSC/9eXkNOAioUyNSH5n3uOMksqBZxCclvwfSg+zV8rpVhQP0iq1CProdzSUEc7K0NC4ze7WDvPb4u+RpyrYlhbSFpigchkPRsbptaWQR5K2hYF9VgDIytvGb03DSYgdWukg4neSSKGehxEiVpsS/pci94LNl5SiFJelRK8MU0A6pS5nS4n2nyLWNDMYSmxXtT7pSf8P+pkvknM0ebBR09UOUK/JUguaSMjRkYPovnkmXvBhYBcL4Hr9fB2ujvKPgsAmsVPma+UZBMGojf58nFxnGOB4Gre6FklCIzz/AZsmP6FRJ+i9C6DPLMrTYC1DYLiykJ6/eFpDcASLqB3VqcKS3Joctv2ei5wCSbHyZVM5sXratIMmtLGowfZEzCddDtN1CH0iJ3Q0z0c/wubF5ZFS69EuJCVBe5A9pi/dYVereHJarmQnehcrBIKekIWrdQYA9vKemeguONhzEiQ4L8RnS8r1I7OErByBuGFbrjai7/UylHRtPx3x5WoPgdgDEkj5aU7/QpO+9k4le/sYsn7koh6SfRw41hY/7dkjavyFlUGX+G484Ek1mM581glrqU3KuC5ClI8OMaQSjVHm44l9dC7XVpP+I/o1Bxj7G+42gNmEdQjLVzz6UYv6Z4wlwM+8yuRUkR1/MzG8HXZ+yYpceM5O1hkqoLwXIHV6MZM3hRWEF552jMLjqXVtj+csmYFtFWERcAfonu4vP5AD4rk1sDycMlxfP4JTRZOQDp4xnNp29f2LX/DnIeI7423wNWNIuv155kM4swI/HdGz6Uu1GegS1qhgLXwRLMobVvNtgNHjMvzoSZjNwGSwx9Hx09zowhQJ8YTD5IeghRNTt6/nQAp5PcSNIFLR67CqUthRG+BjP4OkzGcPkgbGE6FEhpR15Tprn6VZiO6YawiaRJQDSt5O9WEQa+BghOzNvlnt8EWROlfPCwGswpORlMMNOYjvF+mIZpZvHvk2FTJkwbGAXgf3IFwVNhjLgbkGWX1KHqnm7bcDLIWI2FXZ83o5vJ0Df8ezlO0qeHYv8RwncfFoGB4TsBQzdOhPs2HlN7NXyulWGoW2SpQo9uCDASg739YMn+WyT9ztkbwcQJJCfB2EajYFIGUwEckwsswraVfhUslqbJ61xXJceDLNODFdsENFnsfxadxPYyJONgrzb4QpoBVZ45/X50J7fmhiU+QkJhtD8X48+wMe5yZNcMcfIiMG9Ph60ZBgB8iOQWysmRVGBXWBLp8ILXemEd9Q2ZmffBfp+vDtN8PIHkH2CkgLthZI+ULsJHPSEUAvJvwYgIvZ7bKwVP7wKTNEn9DNsIUNssLKYkrB+lyajFc0f+c4xbkqehoCW5JthfF/ZdL+znEr7Xl9CtRT0TOzrVoGldvxcJILmAXMc5pcidiEVlrOGX4fc7zUfo9rCBrJuxsMgdoZYl5wm4cA19DFbMuyJX8Kos9Mq0cm8meaekLgY3s9JWf0HkrcCIjRft718oKe5KakNucQGSX1eC7nhD1MmRLeWfw2awAtyesHsjKfGNBsSvFmKX+RK3A+z6edvHoDlgbNN8zqLS+NPP+Tuwgscz6KzJpsGIW0BHBxmSpo6AomoT1GkPA2lzeSl8PPiBv/8I3//KsDXQN9XQGD3cayRn9zVv0TFLO448kf8tWAE8HgfnAJCRYFKCga4SPGFgHeH5JHs4171k5skXw5jVd6Hcz+Q55LqwmkBZQkUV2mb7t4W+i7g0+aOPA5iT2U6gMciaoQPA+0gu7qQA0KS0BotDDcaz3QB8QgXdcY6zYZ/xerDixhYAni3ZtifMSHz3huvYbap2dcX2/WBWRXp2kl6mmQvFWDwKvH8Ga6lYRB2GU1uYj9kWtgyUba+51BkIiyIbMHcF1i2gsqXQK9R3Swrsr8DKKK3y9YmUduTwmawL4Hx1tymmYBmSL8ImmNn8b+BdlvtQonlSNMkPBg89oC0zjf84qNt8I34tueWrRWQKgpKeIvlhSc95Yq0Jqu7pVg0nSf4UJlMRxvPtSK4uqVVdMceQa9KHQgjJNTzJHvA9GkOy9Tay1Hs+EbUyDHWLLJLLwgLNRZGdf4aC7T7igj1J58MStuHxo/BWWp/DV4IVlx7z5xYHcDzJnSUNurszza+iTJrm6mg/s8K+1zyLYyu5tnBRQqYASYt9kmcCWALAvbnzDonv0uArhuoNqFYAcK+kV0hOgCX9j87t5v+hO6EwKbfNE/5TN2cfDiuay//Pj8HGrc/W/S/+/2zjv9tmH/UNGav6V/4DkkvBgvRzYV1NKV2E28NYZz+Efd/XoUR3u4/z3NZ/p36GbbCM2ywspmhobgVjZQWW7U3+3CA8EbknyfeVFAgAADQjsPx9v5+kybB76muSzqs557Nhc+dkf7wlrACUgrVILg8jWCyTf5HkZ9Tc5H4vRONr/BwLvA8cH/HiWyzvlMKSuxHAyjR5l6thTOSNESV9Ugu9kk6hyQMsimz8/zVkpa0CMmy8AA4xK0/S1STDvJqqO14KpsuRzUzrPPkKgGNlHZTJ6zQ1I371FbtIKjIqLcM9PgadCkvkvYhcgV7SuTS2f5Xx50SYjGeZLFWISYFsXDriJSiVpnOdMpdXYTJsDTIGViTbCSaxsjKs0N7Ic4zkCjApotGwjqNlAGwXFfiA6o6jc2AFnoOQjQteyhe7WGGgywRPmGhXl5JcR26Mm0MgdC4s6cs1//tisLlsUWTX+EWSmz1DLbP9WzyvNoq4hI37+U6gl9Dtr7MzgBuY7WCKyY2p49kjMHJoGebxeWqiOubejQpCdZiR+O4Bkr5NY+oG/dlbYdo3Q4FX4oUZyc+i2902DrzfJvnEECS9AWv1HY20RUdtxa5FFLUUxnpRb5MUI7OroYTS2pEvJfkw7LvcwReSjb4zSTP1f7btg936zDcAODF8Boz0wYvQcOJqy0xjBvrHjSQvBhCC2HEAbqIxlprqJFa1CbdtOLkajKkeWhxPR0E3S0sIDK+pJF9HMcNrnorAogkGaOZEt/h+V8QQyTt5MXYXWMF1W2e2UB1dvCaYBmNWrAdjLr8P3eyDukXW2bBrqE4zuQ2MuGDPE6LHw2SBPkFyaQDrS9oflpheI2ZcSHrUE7dXw8yGA1L8KlKkac4E8DCMEbcfLGmTKc7RTGt3QXdS5utqzthcFsbeK0taVAVfASkGVMfDvv9lYGzqn8EC2y+GDSRNJnkFOkFtV0IhJDFoTFbITOyKMHNIevt2f2TOCLAKBcm4DOKknN/DB6G7RXrIZNU8uffR6Hi/k3S4v1abTJKZom8yVOcXwwkV66I78D6CLbOM2ywsKkFDU9K/YYniUvh88jNUJF08OTA7TArkZ7AkTJ4BNn+UODkBHTPjQR15SQfTOr5W96d+LOkqJMDX40/DWOvfKNgkudOB5NqwcW4hknE3xhiYxwrQwPugroDrGFDHUPankg4hea+/v9FauqwgqARpqxyGnJWnjtROqu54FVLlyE6Esd3vg61nP4zma1cgjfg1bLGLpJCgOo5G2hsT5RTy0k1P+O8FSS6YKwo9Dovry44zImPSFHiccr1Mf5j2FGeOY/eUubwGoyWd5MfbXkZQAIBraF4ITXEUbE31az+/+0h+IbdNaceRzOD4BQDjmZWwGU1ydC5fUmWgm+IJEzARwPdJvolO7iqsk8Na+VaSn1SBpGWEi2DjwCUY+jU+0Cfbvy0U3K/xa42KuJIuBnAxyRUkVRbjZZ4msXzgw7m4IHU82wv2/d6OYkWEcE08RSuaPwnrbm8NMxLfveMvsOrUOJjxzVDJeuwEYxE8CRtEFoBV+2MMV+D9lNIZ27UVuxZxM3K6uQXbzA3TwbsDWROIVqqDJOdSx3hnFdS0I0va04PpFzwx/wq6tbRHLFht/FKnub4CbAF1Lqzq3Yi9kUOtmcYMDBu+BRsPgz7kzwGcJ/MnyC/GKqGKNmG1bzj5Z5jObJCM+ZA/1zqUxvD6rQe2k2Etzb0yw7cGcCrNiRwAnkeOtdciJsMWvYGx8XcYI66XxHec1N4Pxj64AFnmQN0i61lJbZgA1mKEBnsnwxL/JwKApPtp+qX7w5KnXW2Gkp4tSKLW+lUgQZoGwEckjSO5gSeizkE3W+aXsEDmLGQZfmuxOWPzQdhaqayrqyr4CkgxoJoq0wXdAMYQPMUTVEUByuP+uyuhQGM3nw7TPAbNUPEb6u7cuZPdBlN3Ih1Vxr95Q9LJsGD3SFjicksMnS9K6NiZCGN23wuTyLoNnaRkbTKppuDT9HzqdFEvgZEVioprvVyzVefSWmGRCWxdkpegWxbrBdi1dqKMWHMk6pMuK0pamuT9kvYleTiMYRhjW0nHklwTdv1vA2Om5rsY/gC7364lOTvJORRpr1dB0lW+Zv2zvBDcI56EfQbrI9td9hJsjBjsxFOa90EKS26AxuzcDDanA0ZCApqvpSsLgjRC1/WeEAONJbyKvCsnwpCz8gJUoTvOcj+TjHY3EuXIZNJScUHjr77ObIoU4teQxy4+/hVhKjs66k2kmx6FsT4vQzZp1chMcYQi7qy4EnafbwxgsyZzeQ3i7zcfO/f03Ut6nNkuw7x0W23HEc1jaxLKJWyACgPdJoWzmhgo5AjGAvgGycdg11n+fgaA15WTghti9Mv2BwCQvBC2zr3CY+OmaCq1loKvknwI9Z5zVfKBqePZibDCcBkpaX+PWXeFyVmNgc+tbWFG4rsBfFE93n+eg1W8BzSEbaMyfc4lkU0AvZXbZrgC7yYJypSKXVsIDtqDLBp2mx41aQvrBRuRfFXSuUhoR/YEwwQAX/CJZAqAE4b4HPsC041f6uL9+LwAACAASURBVDTXF4CZaYwHsCmAywCcK9ONb4oUM43pEkzTfhw2+HlcB1vQTQNwZ9OJneWMxKI24b4MJ6Pgfg4Af/CiGGBB55AEcSSvk/Slmuc+ho7W7U9IngfgNEl/bHIsmYnhMiHxHYLZIcISkjYmOd6P9Sq7Wb+pSGEO1C2y9vEEYd5n4UL8d2B2SXfkgpTASHyz4n3511L8KmqladBJLj/vCcWnAcyf2+YdSUW6rbezOWNzXgC/93s6Pu/1/XdlAcqvrQMlbYZqA6qXSO4FS5Kv7Mm1UDxoEqCcBOD78tZqkqvDAtWxufftAJOlCJ//TegUmGuRmIwLmM0LkAMy+aRJNP3OvRvsowkmwsbe30pa1de9B0avpySTqgo+yWCFLmq02cIqkU5SiyxjR5uFxRS27qMwDeFYzvEl2Nx0Mux6T0m6hM6FV0kuCOCf8OJOhJC4DB0j9/l9NAia5u62MObXEjBDsxNgWrJJ8PXJsQA+Xbtx+T7uA3AfyXPq1lkkDwRwSESImRvArpLi9WnKXLcTjCX3K1k3zeLorHuarqXrCoL7SArMasj8kPaBsStj1LLymPV++Bnsc894P1SBabrjqV42SXJkvlbaBx2ixhRY8b3p2imF+DUcsctxFa9NA/AFNZNu+pv/zOI/0xPizorjFXVWoL1k45I0Le0BAEuwo6s9gN5kqx6ndd5M85zCRFgs07TjaCdUS9gA9Qa6AOo9YXyb9RF1hIcCrqTgQ7N23T8O4Ggfm65Gdo3XSLaKxSbmr+RIEG2w/QN+Clsf/4Tk+QAmh1xRChrer6mo9ZxjvXxg6ng2syr01aNi/gswwkXrmJH4boaHYYHGepL+DAAkW61ElGA5dKosn8lVWYYTyYtMpFXs+gKbOWg3NWhsBGc/7OEPU9qR61jRIxGpxi+VmusyvdQrAVxJc28eD2MR7Cvp2CYnpDQzjekVtdqPwwmadvWRsDFyALbQ2jkOpBLQhJHYLw4reG4AprfXars8TWNydgDz+vcVj1ULxds6G+saWPvjqrDFx7e8eLSnalrS8hjihHfAmzSZhpCIXgK9S1ylMAfqFllbwgpBMyPLYPlvSXw/599B+Az/D51kR9whFmMA3ZIypX4VdBYULOkNmEFS2fmc5Nf9D31/o9GdQL2Y5LboNvB7Uc0Zm5PqNigLvvyYb5P8MMlZJFUVCjaGJZy2kvQ0yUXg86GMmTsKwA8TznkORXqiMlZrV5At63o5Almt657AEu3laJM3/Pz/RGOE/R32vQ0VXpcZaIFmZPgwsxdUSjKpquDTBFW6qAFXkFyzLJHXwzVbhTYLiyls3RUlxazjS0j+TtJyNGYYUJJ0ye3nUhrb8FCYSek0dBvG3Uczdf0YrAtjNLpZvDvC2uxvByxBQjJfOEtBWx4by9MMgkOCJ8Q3cfJqbUmDGvSe1F4H2Xmqdq6LvqPZ/fGj8MJXD2vpyoIgijs6ivIEKay82PthbhR4P9QgL58QMCifoJyxewVSu6JPhRUHvuaPN4cl7yslogpQS/xqK3bxa2Z/AAtJWo/WPbS8pNMkrdxgPzsCODtXqBkvabCwqnaMS0cqSjsrGs7lVfifPs8xj+1hniILwebnq2Fj5Xps1nFUKWHjqDTQ9f0WesL4fHybTDP//8FyWmf76xNpkoyD3imS/kpyLICPesJ5PnSvPT4Juz9XQ3aN35TxXGlizvbY/gBsbQfgWh8/x/vfj8PmxbPqCqrRedXerw0Q8lNVnnOV3UINxrMrfJ1/CQqMumlSoxNz/9fhklrrVp6R+G6GDWE3yG+8cvZz9CfTUIuEKsuwQc0c5FMqdv2iiYP2S+gsnmaB3ehdVb1+IOkQ/zOlHbmOFT0SkWr8UqXPDADwRfq6sIF/UXQSWUlgMzON6RWl2o/vEvaGXdfPAIAnC65Gg+9VzRiJfSEuhnnhbFN0pKva7r7YDsaqWBAWyIV540XYwmsQNMbsBNii7hnYgvPXsATj+TBJiZGGfWAB+IdIng0zT/xGj/uqZQ4kLLKWk/Tuu0y+e9gRxiJekiab8RjsmmrUISZjrs4Gk1jIs1J2hckS1LKgJP3M/7wR5cymUPSNu7OmwWSIGjE26wrdKcEXjPV6C01HN5ZHOyL6+2mSF8Ck1gDrBIwZk6nn/Bcac/xMfzwBWYbjeZK+xpLW/hRCgSe675aZDp8A63RZHvYZbITu9v+JsGLdd2EB7qromCwOBZ7wJOlFsKLfv9GRnwLSugirCj5NUKqLGuG3MK+JUTBGaZe0YJNrtgatFhb991Ms19AczcgTxws6IfEQCkFlSZdBSAqJkQtIXgpg1oJC7Jawbsg/+3pmXnQSTwFvSHozBOMk34NiiYs6BI+Nt0m+ht7lIE+BJXrvQjfLPWAmL+C84ec8G4D35rapnetYY2DXcC09qeb/upPkEegwhXdEgWG40lh5sffDmSr2fiiFGsgnsIa12WDOW0JSLGe1b49r6lLi1xDELqfBxvBg1vwnWEfHaQ33s42kQYa4F2q2QdRRRPIaAONySamfS1qr4bFGIqo6K9rqGEkt1KTu7zkUE52adhzVStgozUC30BPGk/AnwMb1dQB8St4N7InOjGk4jcm9LEzpYDIsX3MWLK4IGAcrflURE5KgahPz1qVFcjHePbD7dyxsfbVK4m5q79cGuIT1nnOF3UI9jGfj/Xe81o514JcO40v0f/W7fspgRuK7AWQ6ZxfRJAY2gA2U85M8HjZYplaym6DOpGlEIrFi1+8xkh20FbU2++JrA5iG5FAgpR25khU9QpFk/KIKfWYAIHkGTJv5cgD7Snqwh3NpYqYxvaJK+/HdwKiQ9Hb8Aw01YUmWtkAB7WoJchilqyQdDWvN+46K5Rxi3AZLgH1F0hPR83d6wmrEQWYIdDdsTB2AVey7dKQT91Wa1G6wyLqV5FKSft/Hv/UfCxkrcHVfq4xSohZuHiT/F9YZMQuAxUh+CsB+ktaXtI0fq/Z+Ybbt/WSYDFmm7V1SPrFYhErGZq7AHSOf4KoNvmDu84/AxrCwfsjsm2kSDCks061gyeXL/Rg3IavHH4zYUlv7i/AYgFNoTNWgvXyjpEkkD0NOe1lSYAG/jG7pmtYhKRgTT6LpaM4JK6YFpHQRFhV8eumAqtVFhZEtVgDwQM36vA2W8SR0FxZ7/U5S2Lq7AriZ5COwz3kxADv6eHI6UJl0AQD4+vAVSc95YnIszDsjI5sh665YHCbZcQCA2dC9bphC8vswpu4aMD+RS5r+40rz2EjBC5LyWuV5nA377if74y3hn110PiksuVIDu6Zr6bqCIKzI/iPYWgiwzrPBYgbJY1BRcFBWAivF+6EWTNMdr2RtNsBrJMdKutmPtRI6cj1NUEX8ajt2mV/SOSR3BwAnJPWiHTwTTdYqFNdmQrecyXwFSaleOi9GHPzemBI9HuysiNBWx0hfSLkP1azjqFTChs0MdAs9YWRdWK9ET82FjknknOjGV2EFhrv9/U/6+BHjQd/PP6rOLwGVJuZqWVqEZtJLWIz3v5JCIvkXJJv4taTcr0lQmudcYbcQ7LNKHs8SCpmjSM4tM9iGx3qt5qpnJL57gMwV/RwA53jFcxys2joUie86TbYRicSKXb/HmCAT31+0KGFWliTzgeIiP8dKd/teoLR25CJW9FAZz7UC1Ri/kFwOwOOSnpb0hidJNvLtJkVJqQkwBt1EAN9lp6UmmX3ThA0yHaOSofAu4GpnDIRk5CawdrgmaCswTcGwS1dJOobWHr4oshp4cQfPDyWdF7+P5DhJ50s6uMnxEo7VF9jdBhjmqUVojMEmBm4x67AsqZ0aNH4etpAdMqmtkYiywlEYY3soHE2CsYJv8Pff6+NMlR5/OFYsKxO3vc+DgrZ3ktvD2GMxm2ycpJOi/VQyNhsmtuqCr99LOj9+guS43DYpEgzhnKeSfD1/zv6+f8KSeYWIgqNRMJPx1/18ZgPwgdL/MLuP33sh46PoJHOmOinhReS0lzlM7L5cMSsgsLpHo/MdVXYRepC/rKSeCj5srov6OIAHExIgfbOMJV3tCdI2Cou1bF1Jlzt5YcnOU4PX3BIkS03FJH2X5I9gTMNpJH8O86y4AcC6JFeRtFPYnsainBkmO3QAbG14ArIGj3vCivsPwD7Py2G60Y1AI71sBmAxST8m+SEAH5RUaHZYgd+QPBQmnVWoLyvpYJqGbyiC/VjSVX4ejVhyKtdST1pLpxYEPbatiolCYmYlmP59SJCPg8kbxEjxfkhBku64qlmbqdgewBnsGIL/Gw26XKIxrHTcGYLY5RU/bkiALYcCQlICroQl3070x9shW3gEbAyLO0E+jIoE7H8CSB4laScWG/rmE7u1c/kwIek+VCJLXdUSNk0MdEs9YdTxHTgI3SaR+THnTZlpeLim31dwrLkAPEyT6SqSbUpFkYl519qW5NeL3txDPPUTmT9V0b6WbbCflPu1CZaE5dLivHD8v00qelMoptaNZyT3kKsihHg2eu1AdWTBDgdwG03/fADWBXVAw/+lEjMS333CqxIn+c9QoE6TbaQipWLXL8JgWMskzwXpo2BJ+XwrR19gs3bkm2EB6CArus1zGQrQpCsOBLCgpLVpWnKhDRMwRvjqvu0XYC7I34Etfk+CDWCQ1IgFnHBetWYa0yPU0X4cTXJ0CUNhOLEbTBsxFLdOB/DLJjuoWYC1jZEqXbUngPNyb90LxmZq+1j9os02wDiZHe8j1vRMDRrrtICnV7Q9x76lbr2/wCZroscft72foeK29+0lDXY0OJtsB0Rrq4aJ7SqkBF9F91z+uTdUI8GQcs4+/mySSzKfJWnd3Kbno2NwCNh9fT6yScJSeFLoYZJBe/lomCn4AEzfNsa8Gh52X1IxSzVdhB7k7wHgPE/gNcVabKaLGtrDr0BJe7g/7vuaZccA+bKC55ru6xCYJvBrsEB5aQA7O4kkbPMIgEPj+5HkpT7+prDSxsNkJ2aHMQkX8OTne2DzUYwVlTV4/Bcjg0cak+0MmdFsXh+8KX4KG79Wg3VYvAyT9Ui6fyIEg7M4UdE138lY4UXM8Cas31It9dS1dOo16PfUHujW/l/Nf5/u2+0AYKykqf74BBiJID7mO154/hjN46RXpOiOV7I2G+BFScvQ5I3gxYkmCeqiNUxAF/uxpdhlN1j3w+Ikp8C6jv4vvxHJTWBSLgd4wWd+mQF6wPdgybMd/PE16C4u/QDWCTIFHT+cbRue70hDkBcr8vzJoMX1RyhaF0nI1aLJfYgKlnpZsj86zvpoZqBb6gkT7fNckjegM+YWmUSe5wnduWhddVuhe+zfp+o4DfAVWUfuoIk5rUPx6Nx28RwxK6ygeTcaxlNlSe8ekHK/JiElVlSCT17NeLYJgCAHnF9HfxkuTyzpDBrzPcylG6rlzt0Zie+Rj0nv9gn0iJSKXV+QdKL/TkmWxUH6VJhkR76Vo180aUe+TdJnYEEnAIAmFfCZ8re86zgNxt4PGl9/hFWaQ+J7poipsjGAk2QSNBdwiLSnWWKmAdOSna5B8pOwien9MNmTZwF8vWRBMuTwRdUv0GEf9AySC8PasEMS/SYYy+2J8nc1g0aYdBXJtWGJwYVyjLox6M2gbchlstRiG2BTBlTVIsuTZMvAAjMAuEnSSPdQ6BtDUDh6iOSmsLbKj8KSgrf6sZqw91La3jMyTTQG78y551phbFYFXw3vw1oJBi8CF51DPEd9oCDJvGDB296jSNPSk+6N21vV0V6+2BO3s6lbe/md4WD3yQzZBgB8MRyrCEzrIryW5G6wOSjWZa/VzZXp2TfRRX3Mf7raw3Pn3fM1ywamyA2wpqQ9aBISf4EVgG9E1rzzLQCrkvwcTE/6zXC8kHQpOd8wFr/u73mT5CMyfVhImkoyr8n6lt/rIVaYB9HYoHSj2RR8Lpdk/3eP90+KvFOp7nSDAi6QoKXeIs6G3Tvr+XG3APBswXZzw67BcF+N9ucGQfKbsJhoYVhC5fMwuaCmmrgpuuObwz7fmLW5EZrjAgCfkRQzpn8J06CvRZM1TFuxi6Q7aZ23/wMbH36fv0+Y0FUhk/063n/KjnUlrbsvyITupB47T0YKQvJf0hQv/EBS0TWfOpfXghUSck32g4T7ENUdRynJ/mQDXVV4wrC7OzTEcl0mkZIO8/XUi7D5fm9F5t++zRQaGS9cw3dI6kX2ZAt0J7m/kX9O0ndy/89cMLLUu4KU+7UBquLSpG6hhPFsIPfe/L7C8RaBFaR/HT9XtTZsihmJ7xEOv7k/DGO5XEtz9n43dXxTkVKxawUpDJaGQXpPUEI7MskFYAvY2WiC/XEgM/tQn2OfmFfSeTQTrhDExLrkM5F8j1efv4QsE2CoxppCM43/EpwIYJdQQSa5CuweW7HqTW2DZkJWNTHmjbNSMBnGigrSAhP8uTV6OskKaORIVz0JY9Otj2xg9xK6NVj7PVarcFbeuuiWVelJk92/h48iyzq7MXq9cpHljI1t0GEdn0XyJNXrq08X8ITZ1uhm7jWV0/oOrND5BqzV9SoYUzJ/vHULjrVftElK2/s1JM9Fx1h2ewDX5rbpi7GZGHw9Cbv/Uu7DFAmG3aO/Z4VJo9yFbALoHZILh8KeL/6L8CzJ9SX92rfbAOZP0BjMySCRzLftDhu7z0kSlwH4ZMVmKV2EG/vvODGYrJurBrqoochEcrQ/frlk036u2WRT5AYI4/O6AM5Xd0cHALwqaWMag/4mmsRPSEzfLGms/32mpM2j990BI2/MReuyHAAwhp2OywG4rFC0VjwOlnCcj+S+sK6xfAGv1mg2EW/5XBX+l/nQm+50YfejpFOizZJ0p6sKuH6um8vY7sOBeSSdQnKiOh2FvyvY7v+hu2NmUm6bibBr/LeSViW5JOwza4pK3XHACt3+52vovnZq4ef2cQBzMtsdPAbRnNYyWotdPNFdVdiv7KoAAC9sHwSTzojn8cWjbQZg7MzFJe1HchGSyzctPI800Hwvvg2L3QdITgVwTG4NA6TN5SmYhG4JuV6kb2rvQ1Ww1JXA4gUAJhro1iT0k7tDaWSk62XeQbSnOLOkt6JtvgbgUNhnOADgGJK7S0rqMiYZGOyLMatjPgc6hYQqvAIjcrwrSLlfG6A0Vqy6fnKoG8+mlfydf3xZ9Hg22Gcs2PjcCmYkvkc4mGaeNOKQUrFrEbUMFpp51URlW4kP7yERkIKqduS1YNXEhZHVAH8J3uoxgvGKJyxC0PB5mE5kwLmwhfJzsAXoTb7dR3LbtYlCM43/ErxPUduUpBs4BJ0VCZh3CPY5n6TJ0ePTSO5UunVL0LsoXSVjJN9H8mxPCAzZsVrYdx6XwFoFH0APiYQYiUyxukXW1jB23yu+z4N9H/8ViW9Y++7DsPlmPxjjNG+aVgtnav4AnS4fAIOJ7rslPUVrr50DFsidDWPa3ZHbT0rb++4wxnRILl8DK+7F6JexWRt8RffhL2FBHmCJ0C5pNGfdnIyKor6kjCQMjfF7VG6zvWGJvethQdwq6LSwxtgewNnO4BuAaW8Wak9WgWmtrcPN7rub5HLqmGrmUdtF2IRxWQZV6KIyYh2T/ATsPnu/P34OxR1XPV+zamaKnIpLST4MW6Pt4Mnf/LU94Mc/hNaJeDX8/0RHYhDoDkZDYn4KOl2WNyLbcRkKmHfA2LVn0PTLV/f3j1O3SWOR0WwvCAmb+UkeAJOE+GEP+zkN1d2PAFCrO11XwJWx3TcFcGQP59gLQmLpKR/jn0Tnex+ETGroCnQkX4rkCl6X9DpJkHyvFxy7Kix1UL3uOFgsL/kCjEiwv8xDoXIXMJb7XMheqy/BCuhDgeGMXSq7KhyTYfIRR8K0/7eEGc2NhXUov41sEW8/2OdzAZpLBY0Y0HxRVgKwnKTH/LnFARxPcmdJg/de4lyegiIJucbdVLn7cBoK7kP22SXHZga6k1DiCaNm3aE3AljZ8zRXwu7jjZE1U/4B7Dv7h5/nfDCiRKq85q2wRO+8yK4HX0LUiR/ArCzMKFjCOS9JmQSS68OKFAAwRVJjo2aU3K+9nA/aiRXrxrNlSL4Im+Nn87/hj+PEfYb84GvQUv+bXjAj8T3ykWKeNCLhie6hSnbHSGGwLK3uVuJKw4d+zkcl7ciyNtHTSW4kkwH5T8IusPaTJUjeAmA+RFpyMu2462AmWVer0zYzCsbaGAqUmmkM0fFGEh6lmUgFjboJsMlnWOELYgAAyY+jIy9xo3rX5vonyQnomD6NB1AXvPwnYFLZC3SPABiDo84joK9jDQEW7uH8ypDCFKtbZA2gk0iA/z2k+u0jDB+RNI7kBrL203PQrf1YCxZrQL4AS7h+h+TeMDbZ0iRvlDSJ5GHI6dqmFDM8yXMigCvkZrMF6IuxmRJ80eQaDoQFEn+DXTcfIjkZwA9yrKOVYPdZYGyGLpcq1s0TsLb0+Lwuo+lLr+BP7aGCtl1JjwD4POtZxnWoam3Ns+Kf9N+NDWsb4nMANiP5VxibKm9IW9pFSHI1SdezxHBVWaPVFJTpon6T5O8l3QArjqZ0XLXBMn6a5BySXiL5Qxirev9evgtJe9K6JF/we+4VdMv+7R1tfy3JNdGRf6lK0Ezz96R0WA6Ox14sKJVoU0sSTpLO9iT7l/z4X5HUuCCI+u5HIE13OoX1e7MXYvLyPUNxH+5PM3bcFVYkHoOoy6VgbHjcf3fJFQB4giYHcBGsm+ffAP6KhmCN7rjjCtgcf44/3gTWQfs0rEhR5UcBSRfDZJ9WkHRb03PsEcMZu6R0Vcwm6TqSAzIG/SS/V66EySlsi5akgkYYNgewRlzUlfSoxx9Xo7ro1DWXJ6JUQq4HLI9OzDUNOak19O9rkGSg66jyhAEAkNwRwNnKkhDHS/pptNmArDNwawDHewE2L5c6KrdG+icaJH79Gv8rOmuuOsSyMFMB/FU9SG+SPAgdkghgn+kK6pg7pqLsft277o0FmNTDe/KoHM8k9aRUIelumuRaa5iR+B75eEM15kkjCfQ2SHbrAg2l+3EKg2UUyblljE7QXLCH6vovbUcmOUEmwbKoV5ozUI/SAMMBH4C+CGNHDNhTnSSAb/Pbgvf9cQhPq9ZMYzrGVrDFawjqb/Ln3hWQ/DasMnuRP3U+yeNyC5pUbAULvI6EjSO3olsa4T8Oqtala+IR0O+x2sYVJNdUO7roKUyxuqBxMoDbSYZ2zK8gx8abzhHG5edpzNSnAfRSMH8UVuAMBaiNYYyYOWFz2ouweRcApvrc+yKs+BmjsJgRknkAQHI9GPMmbpPdR9JXo/20wtisCb4OhbFKF4/OLehhHobOfQrYNbUzrN05n/gKxzoGWabQp+ByHTmsish8jORnlTUfC/sblJUJt4W6W7LrUCWD1KZhbROsVfWiqrsIvwjgehQnuPJGqyko1EWFMUJDe3Vqx1Ub1+yPJJ1PY1+u7udwPDqM26ZYErYGjdfAMdv/EnbLTd3gv+eidVeOQkfSBIhkTBIxX9EaODqHI0geJWmnkgJcMiON5BiZUeH7AfwDnfEMJN+vBA34HOq6HwFLqI1Cte50Cuv3U/47vseH5D6UdKn/+QJsPMojeWyIxu1JNCmGOWFJ1KZI0R1fXeaZFPAAybs9STuhwbG2J/kH9dkZTHIJAE9IesMLYkvDDFqfjzbrK3YhWUk0kHR/9HdKV8UbNFb4n3wt/3cAoyXdSvJV36YVqaARhplV0Mkk6VmamewgGszldUiSkKsDyf8HW1dVJVEbFSv8Ghgt17lXooGuIyWhv42koNcfzmcbWII+YIDkCjCG99b+XD5xeiXJq5BdmxYZCVeCFV4M/vpHYB4sU3LvW8njk0caHnJdAJ+SdQsGNYJ70Lzjv/B+bbgPAOmSNzVoJReTWxOMghX5nyzZvCfMSHyPfNSaJ40kyLX/1KL7ccIxUxgshwO4jWRwkh0HM/kYClS1I4fAqKcBagRgeXR0QT/Dbl3QYYUqzDSmd3gRZyQx27cFsLychUjyQNiip1Hi2xfWG6YGtf9JYIUundwjQB29yl72H5vR9aWB1xC/BfArX4i9hf4KnSlMscpFlidNbgAw1p/aUtI9PZzLfypO8qD9R7DPaTR6Y4KsKClmBl1C8neSliP5kBclLvXv62hYi+gAgFNz+ykrZmxK8hmZ0ey+sETeb4DBNtmPxDtRe4zNquBrPQAfU8T09aTZDjD5mDjx/YKkumDrzujvqQDOVU4/mgnmY77dCTAm46owLfH/Q05WJhFVkkvb+n38w/x5DiVkhrRjYX42kz2pMprkcQDOkXSLSroIJe3jv1spjtasX3f130kdVy1ds6Gosi7MNPwykvs33AeANJkbVndoTIHp3wNZSROgmTHfTLBxqaoTJ3y2tSZsNTgHdl/fBftfB3K/m+qiVnY/Or4A4CJPIAU9+PUAxN0staxftWAcnQrWSEI2GRs8ofSQpJe8CD8GJh90e8PTStEdn4mR1jTJ5dBJlDWRjWurM/gCAMv6/HUSgIth1+A60b77jV2Oq3htGoAv+Gce8DiMEACgUwyKXp8Im1u+C0vCrgorMkBSYNsWFfF+1MO5jyRUGebmX6udy1OgEgm5HrAO6pOotcUKWkfg9rD54HcwX4ajJR3a8HxSEvoz0VjK4XxmQrc59E4wSahfSXqIJpfym3gDSbt70TWs8U+S1KU7noA6L4ajEMlTRXjRX6vsJinBXOjoiDcpFsfI36+rwe/XVDDRuDIFLeZi4rXXVJjmd6vqCDMS3yMfXeZJkobEJLJt+KLpQ8iatrTenudV2QmwiR6wxfgJ8TZe8b4THUbChupdhqESqmhHlnSi/26ldXM4kRIwvQvn1JY79n8M2mJBDQEGkF0ohgRoI3jxajyGT9dyOFGrS+eLuYNhDN0BNFuEfI7kOEmHpxyrRRwBaxl8QAXyCU2QwhQrW2R5wDuvpCt8rrnbn1+H5CgVMGinnHtUJAAAIABJREFUR0gKBotT0DypE2N0rpiyCDpF2zf9WCGwuZimNzmbpDz7sbCYIelEmrHURbA22edZoHvJ9hmbVcHXtKJr2Mel/PO/IXkojFEcJ67ujv4+PeF8as3Hou2WJnm/pH1JHo4eWE6oaW1Vhc71UIHkPrDAk7AEzcwwn5bzABxG8oP+97lFRSwvpGwLYzMDpml/knroOGOaLmplx1XL1+zfaTIvawA4mGY21queZ6nMTYRSuamU4gJN9qKOpfWUajoVwnjtidP5/O8827cWktbz362YkSmh+xHGItyV5Pio0LEfgEujbWpZcjTpkX0QacLC1rhD4ZtTm/htMDYcD2PrBbxc8FwKUnTHvwng1BBzwbqSvknrwDiowbHa6gx+RyZ/81WYSeIxYWwP6Dd2kbRy/VZ4CJ0Cz4KwzwWw5NKTsPg87C8UE15GSXdli4XnkYSgPZxHRnsYSJ7LS1EWs0X77yV2q0uipnQcLeVz1Waw9cSesCJho8R3YkL/SgC/8PkM/5+9M4+3baz/+Ptec8OlUmlAkj5SUUqZUpQmSRIRKiQiXTRPXFEaqBSRSAjlJkTma0hU8kNJ+ZRIEhUV1xAu9/fH91l3r73PHtbae+3hnLPfr9d93bPX3nut5+yz9lrP8x0+HyKu1Ti/v4y4zmWPbyYVealWgX2FQ8Lsx2n7hpJWdfkKbNzei+Hptq9v8p7rJT2n7LGI61GjIWlbD4MWY+74fS2wj8oKVKuKxQwiNjYOfI8+ezkMbhYFu1Pm+7Ahjqkjkg4kNAFvppZdrKw9T2EOcGnKWB9JLJKyytId07b3NbztyUQLy3GSnippFSczi6pRi3ZkSd9o9z6PtjZ1kQXToJlDCzONKUxVVVBVcyIhL5FlZ7cEup0oXqHB6VoOkiK6dF8GNu9mQeFoh88MYHrSwCvJbcDvqro2pEDk04Hs+rwCobecPd90kkUEZZtNAm8ggmn9kmkYKVJgbCtq3TlAV5IYHyY0Zv9MTNJXAfZIAYVF321J6+ePpYZOoHbJDNtz0nN/UHQpzJS0CrHQyaSzqq7YbLf4+r2kd7uhk0nRMn9jw34yqYmX57bVzXNUzHitiPkY1CTcHpD0TOI73Sgr0xFPbNvdkPBRyG9vpXPdL7YkgmnXpDH+XSGFkxk8rkxUZn03Jb1OIYLgf1S0Rf+YmjHxjLSvSyW93U0k2DrQURfVnTuuqjxntwHeCBySkkPPIMxgu6GdzE1Gr8aEx6Sg4aXE9+rnnmjYXCgpnhJjHyTuXTMkLSCCiWWvZdn+nkVNkx8A22Uq1ZHUaCjbrPvxFqJo6UeS5tieS8Pv3CqB28B3ib/ZNunxjsS9rKmefY8UDfwWuTbMcH3XzGOql9YpSlvd8bTvXwMvTq+jISlQxoCuqs7gRxTFG++hVhG6RMNr5tDD2kXSq1NCqGlgyfZPbK+YXnsUUTSXyW9uTq76PG27kJBAyVf7/8D2G3KvOdH2juTug7ltkxKX0B4ueC9vR7ZmeztxDf5+erwd8I+i48jRMYhaMFmxhKKA8G3A4bYfaZLk70iLwH72+XzbYRD+cWK+lZl3X0h0rxUt6mpVgX0P3VVgd/JiWK7Ne5cpeSxsn6LoRs3mEs2MgTsi6eVEgqHxXlaV11JZ5tDb9awfSaGmjAPfo897iBbiPO9tsm3U2IbQq2zXRtQLNxLB7e2Jqsa1cs9dLOk3+RerdTXRBlUPTO3bkbOKww0IV+AfpsdbE87uo0yRBdOg6WimMdVwrWr1auBB19rcFgOWGuK4vizpMmrfqd1zWemyDEzXcsAU0aX7Ry9VNLYzvb9mxzqn2/124GYiyHQu9ZWvpT0LJO1FVLj9g/qkaX5CN4fmk6wH3UQqxiGjsHzZsUxiziQWAv9He/3Yttg+R6HVuHptk7Pg69ehfSeQpKWJFtrnEV1rxzYGXXN8kJBjeYwIYp5PqhyqumKTNosvwlD8x5J2pna/fjmxyMnrjReVIShivFbEfAxCaibTmb6G+Jy76gBUVHK+i5h73MLEdtJM53qBpP/RX58WgIdtL8wW3GrQy07f6y8RFc8vJQKC+xGSBvsRGu2X5t5yhqSLiWvJm0qOpaMuqqTnAx9hYnJpk/R/z+esanIES5OudSkY+RD1bfdlaClzk3tNT8aEtt+cvvuvIb4zh0j6KxEEP8/RQfLaTvtR6H1uQMzxb0nbngscKWkf26W6wiR9ibgP/p76a1WpwDf1EkRLE7/LNdR3Py50rTL8FIVBV12QrWCV3Kq289rgB2ii0VtV5AO/M4i1S7PAb5Frw82SPkSs0yBkOkubr7uz7jgKL5MvAM+0/SZJawDr2S7l6+HqOoN3Iu57n7d9S0rkntjwml7XLpsSicqtmzy3kPpOgg1s7549cGj4N/5dl/fEav9GX5AX5h+kNcfLSox5stOrieplAJIOtZ1Plp+VzrtSNARRF5ILoqpcx9G3gb8AvwF+lpLMzargO9HKE+b5xDxlx7RePZLadSFPkaKuqiuwO3kxXC1pVzcoLSjkwEp3kCq6yV5LeMh8TtJKysk0leAkIvl9PaMR8+j1elZ1Uqgl48D3iJKyxe8iJkP5G9gsam0to8zviExZX8zUUpXPR9LDR5VrcUkT40ajqabVRP0YG23akZ1apRR6oRtmVTApWH55n8ZTFUUWTIOmSnfsycY8wqwmk9JZhnAhX39oI4oEzy3UKj+LtDzXoah8PNJ2mUqdSYGL6dJdLemHRNAh/z0rZdCWjrUVtUREtxp4Rbgl/VuSiXp9ZZkNqEP1TKtJ1pPavOdxPY5rMvFs22+saF8voxbcW6tJZWO7TqDjiVb1y4ng4xrUa2Qj6Qu2P2X7fiIg/fF2g1EFFZvtFl+2byckgzahttA/x/a83Bh2sP19tTDna0j4dDRecwHzsXRdnJeCE6dJOhtY2iUkD1Kwdrv07y4i8T6jWQDfA/RpSZyqqMBfTqG3vjP1nY6LE+fQtsTC8VJqki2rNgS9gUUSGUd3MZYiJm5zCUm9Y2hhbJobe7fnbLOq8YxuOh2gg8xNGlvPxoQpQXZe9r4U/HsTcLikFWy/osBudgQ2dc58zvbN6XtzAeXl0N5G3Fu6TgamMeyVf5ySBD9oeFnm2XGXpDcQSZsXNbxmDp2r5B6UtKHtn6djbUDNULhSigZ+C14bdidkFj5DnKvzCCmiUkg6jubVn3nDye8RBU2ZxMIfiWtbN4bWPXcGp88sr9N+C/H3z9PT2sV2Jlfx6ZRIWoRCkizPHZI+QS2YtD0Tg0mPqV7WbGVq179PErrRy6gmC5JJG3ZzfZ2sVGWi+nhJz3VIeGTXxmbGyEVYj1hPLCTuL9kcv3DHke1vEN/VjFsldeMt0NYTBiCd6wcTc8FFUjK2n+ti0lZVV2DfmjtWs2KDvQn/ou2pL4RYkoZCiILku8k+RyQGTqPBz6UA/3Lq4BgRer2eVZoUasc48D26XElMnJan3kF7PpGVG3WyFpzf0acgqZMZHJH1ukTSzcRFfWUmtru3rSaqmCLtyE+iPonxBNoHbUaBOcMeQBMqcceepCztev34+yQNLbgnaQ/iRn43EQjIJlhrlNmPoyX2Y5RrUR1pVE6XbhZhevX63LaF1LRkC2P7NCo2BmlxnCp12W4jqrva0XKSlSqZPuOafvMMonr24grHOOpcKenFzSpjyqBivg7tOoHWsP3itK9jaW7E+EYKOtpXVbEp6RaaB1Pyi8GLaX3OZPOHIgGgdsZrj6lmQNbWfCxdF48gaeum4F3ZAN6NRBLiLbZvSsfZp9kLJc2z/dpO26rC9iEKA/d7ic68/WxfmLZtR7TmX0UEGN+fEiUZ8yfssMb9bZ5rRRFd1AW2m1Wt1dHLOevqOx2yoMLKhInoRWnOsKgSOQX8b7C9evb6VvuS9CImBjCaer6k4N+3gG+puX59M5bIB71z+/qXojW/LDcT3Z49Bb6bcD8hA7UI25vlfn6MWKc0ytMUqZL7AHC8QsZjBrFmeG81w64nBUzvI1ctnA+G5rZt1PheqE/mOGTWtq1gWHlN9KWJYFNjMcXytk9NAVoc+tptk1HNUEWdwe2Ce7mXVbV2OYOJuumN295FzIHOpXbt2a7hPZ8mZM0uI86zV5ESFbYPBg6WdLDtZjIT04WqTFT3ITok8zGLbpJC3yK66bIK690kvc72nmXuHWrhI0DneXgjHT1hiO/V/kTScmMiVrNIWkSdpa0qqcBO64L9OxwL2/8A1k+JgCxx+dM0P+yGjt1kBdlf0jFEQrHrAqkKqep6VmVSqCnjwPeI4mjrvJXI5i1CocX4DaIdd5Q5nshw970Nw/a8NNFQbdOEio5m1UTH0B+KtCN/kYnaXHP6NJ5K6LRgGtKYqnLHnozcL2ltJ91rSS+jT5VABdkXeEGTDH03XKTo6GjU+J4M3S7NKKxL5wLmYe2Q9HPbG2qiY3ffpApSxcTHSL4G2Xantv+SZLIpP6W1bEqrSdZixHX9JtXawdciZAEaPR+mMhsC700B3oeo/e3L6v8V8XVo1wn0SO7xAjWXCV5MoSfaVPO34TtfScUm9ZrcSxPt4o2GaS1xOZPqdsZrzyISB42VvFnSsLFyr1fd7bcTwahLJJ1HBJHrPneFRMXjgOUb/i6z0nj7hu0LCdmZPJ8kqtc+7KQ93IQV1dw/ZQZdjNnFdFHPSsne06k/7xvvUT2fs4oq3+ts358qC9cGvt4YkCy4r12JIMuTiaTWs4jK9dem8T8qyc0Cng372Z+QMlmDkNB6E/BzCpidu7gEYrvXdSOj+ACh5doYLCjlraN6PdKZxGdwanqujPl4xyo529cRnTaz0uNuJAiK8lNqY16GCOabBokL6gP4SxNV6/8HbCLpYw7Zu2/S/Pcv9Vmn5P0iJJ1CnGd57lf4ImTJ7nUpH7SD6jqD2wb30r57WrsoundeACyrep3vWUw0ZbyLDjED2+dJWhtYN23auzHpNM2D3lCRiWr6rPMScjd2eX/YhFhzZef98YSfTR3q3HFUlY9AEU+YZVLMZkaKc81J99r9VEzaqqoK7H0KHGsRti8BLin3cTSlSDdZEXYizp8lqJeEHErgu8JYTLOk0G497rOOceB7EqCJWozDyuiU4QFH+0zfSQu1Pai1+1wu6SjXtEhbVhP1YSyF2pEdbXTnUjPH6srgYJB0WjANaUxFzDSmKnsDcyX9nbhBrEBUlg2Lv1GdDFP2e+Qn6922do8ChXXpVKy1tyW2N0z/D1Kq4CQiSfEWosX5PUC3CZC/pn8tZVM6TLK2SxPYbLF+Q1Y9MI0oq2nciiK+DnPaPLeW6lujs1bpfBJmdWIB0yzw3fidr6Ri0xNldL6eLb7K7EdhhnQQkXA8j9Ch38d21lKO2xuvldWd70l32/YZhPb144EtiHvI0yQdCZxu+4J0jL2BZ1L/d7kXOLzkeAujkID6EvC0dMwyv1s7o8fCbbIqp4v6nibHbnaPquKcPZL4Lq1FBBeOIfRQX93FvvYkApW/ArD9J03U8n0SEZS9ivrEcz7A9g4iqXit7Z0UOsvfp1ry1488M2gI7hXkJ9RrH3dLXoN2AXCr7b+lx2XMx1tWyamFnFKWPHQX/hmdcOrOyR1rbWJt1fi6zRtetyLJ8wHIEkSVtqfnWI24RuTZl/i7rirpCkJn+B1d7LuqzuCWwb3sBRWsXV5IBCaXo17nez4lAkWSVneY12YV4lk1/Uop+TXZDeUro8O9vFSHagp099q9fxORHM/8F1ZM2xahYh1HlfgIuIAnDPBQipP8SdIHgdupVYV3lLaqsAK7ahmtohTpJivCOrbLGE73lapiMRUmhVoyDnyPKCqhxTiiXC7pYGIykq+s6MdN9ATiZv/N9PhdxOSzzvQjX00kaaak7V0zgqsEF2xHVrTZvI7eDQ4GSZEF06DpaKYxpHH1Hdu/lrQ69Z0Oj7R7T5+5iTCWPZv673zpBJgrbO0eEcro0hVp7e1Iqnq6wfb89PiJRPXur8ruqwBPsX2spNmO1vjLJHVlbJpV0WZVNc7J+WQUmGTdTBdGWlMFh27hWkS7MsDltrtZZHX0dXCDFIKiK2074DLbRTqCfm/7pQXHU1XFZr4NfCZRMdTNfPj1tj8maUvCHOrtxIJyUQBQBY3XJG1LzAe+IOnZRLKsrnW3qmSWQybkZODkVNW9NaGtfoHtw4DDJO1l+5vt9lMxXwY2dxfGvk7eKRVQRhe16D2qinN2QQrIbQEcnq61u5R4f56HbD+cBVAV2umN19LPFtjPg2m+uyBVI/+TCLzUIWkZYCXbLjvQgtePMvs7vpfxqCZZ1njN20DSUrb/7JxObYHxtEvglpFT6gsOc85Xdn4lfyOqj7F9Vtr2gO25+RdJambE2BbVOtey7+CdNPhAuGYiqvQ6M1H+owhtfQZK0C64l9HT2sXh13K6cvrvGSonA7QvUdB0aJPnpoKhfGUUvZcPkCcCf0jzs4XE+vxqJV+4NE8r0nFUpY9AJ0+Y2URH2YeIJN8m1JLIhaWt3HsFdtUyWoVwsW6yIlwpaQ13Z77bD3q6nil1CqWHb83fO5R8gKoa6DjwPboU1mIcUbKF7Lq5bf26ib7Idl5H+BJJv4eo4CECts8igvAXpscfIbKtlQa+E03bkVNA4Be2H6U6g4NBUmTBNGg6mmlMNSRtYvviVCGX5/lpkjGsjpA70r9KpDRUQj90ElBYl87FWnuLcCT1i7/7m2yriizhcoekzYhAfWHpiDzp735i9n5JdwHvtp3/Pk/bhFcRJM0GdqXWHfZ9SUd3EcicU/B4jV1p/dKVr6piM7/IX0CMeZsWr21HNofeDJjriXq9UMB4TdLhRFXwRsTC+gGim6puPqA+6G475EOOZqJJ2WOSlnN0r5EC5NvZ/la3x+rAP7pcAFaGy+miLkHoL2e6qJcSSbfG5HMV5+x8hX7xDsBGKajW7eL8MkmZUd2mREXvWfkXuJis3dUKSb/vEPew+4Bf5F8gaXOi8nlJYBVJLwE+5yEZolcwnlaSZffSIFmWgkdzqEkMZB0Mz829pm0CV9ESf68b2u77heqry2cSc4UJSXfVy5jMBF5CkgfJ8UnCALbTtrYUTfbZXkBO5kHSXCZKRXXaR1WdwY3BvY2pBfcyqlq7HCBpJ9d0ldcm7i2Fksm2Mx3vjkV1klYF/mb7IUmvITqcTsjuEdOA71GdiWoVFOlQK9JxVImPgAp4wjiq5iHuFxO82Nrsvhtpq3aUOpakvYDvu7XcWlsUXWQZnbrJirAukVDvVc6wKnq9nm1LFD/AxPtEYR+gIowD36NLRy3GUabITbRCrpG0ru1fAqQKhazN7kTgP8SE/H3ElyfLspVu5SlI03Zk4st7JJFdr8rgYJB0XDANgSJmGlONjQjTtc2bPDdMja8iVWKFUA/6oSNKL7p0zVp7izAjn3hL1Xn9uucflCbNHyY6b2YRWm3dcDSwb6roIC2wvgOsn3vNtEt4lWQX4h5zPyxqd/0Fta6oQrSrWlR1XWmHlRhPTxWbOXZxg/yNwkSnLGdLupGojvqAQq+xsaWziPHa+g3zgX/n5wMaju72rraPyB6kOcquRNK+H1wt6YeEMdvQzZrUWRf1SCKgkH0eO6ZtdV4CFZ2z7yQSS7vYvjPNc77S5b4+QVwfrifmqufQ4HejFrJ2ii7JOwFsZxIYR6U1yizbv2041hyiCvHS9J7ruvyeVUWz8ZSRTyssWUYEw/Yh7vetjBbbJnBt7yhpO/rXdt9IPsi8gND8bpbEvLrhdafYvgJA0psII9pnqV53fxYlDABV35UzAXfuHi69Xs4Ft3qVwVya6IhYFNxr8vtUtXb5KnChpEOJ7+nbaLgGKbqvDyYSqj8lEhX72D654XXrU6vWBSYUm5wGvFzR+XA0cCbRJfPmEuOdzFRiogqF7i8dadJ5siGRnM5LRHbsOHJ1PgIdPWE6JPuqlrZqR9ljPR34taRrCE3089v9nk3Id5E10o2M5xtLvr7f9Ho9m9Hi52aPe2Ic+B5RXEyLceRQC126DPdBl45orblSUmbEsxJgSdcDz7O9TBrbMURF6kruo/ZzuwoFSQ+kH6syOBgkHRdMQ6CImcZUI8s4H+uGFsdhkha/2zZUCH7f9mZd7G4Q+qEDwyV06VSgtbcgN0v6EBGMgUhU9UX+w3Ymz3IPUd3UC4/Pgt5p35dqotZm20nWuDKJGdQHWx6lxORRE41R8/vNdJcr6Uqz/b0S46qqgvRHTOx8+BExlyiM7U8odL7vcZgC3k/M1/IUMV57JFXxZq95CvXzgWHobi+m0KjNxrQYLTT3K2IWsUh/fW5boURuCg5e4Ina7V2hYrqo69heK/f4YkkT5ISqOGdTsDk/d16Z8IcpnQhOCdDjCcm6hbFpwgK+lazdGyS9gqhkXavhPShntp14xBO7IIbZJdhsPGXm3WUky+6xfW6H/RVJ4F6h6AhpNPquXDbSxcx6O0kL/Z0IYr2V+m62+ZRLhjeT3sgo0j3czXnWa3Ar4/y0n61t/zNtO4b6e04laxfbP5V0H3ARkYB+SZpv5nmT7U9Kehvx99mWSP4sCnwXqdYFHkvB3i2Bb9r+ZpasnSZUYqJa8P5SdF+duu1adhy1iteoex+BIp4w7ZJ9J9seSLemS8po2f6MpM8S85OdgMMlnUqsw/9c4P2VJXzTXOx826t3fPHg6PV6trDFz80e98Q48D3iuI0W41AH1pph6NK1y3z9NPshLUz/1s+gN7RvR85VmVdlcDBI3kYEj7rRvOsLLmamMdXYiaiS/Ab9ka3olhXygcVUIfjMLvdVSD90suECunTtEmcl2Z04Rz5DTBzmEVV8lZOqf48kKuJeJGlNQqftoC52d3OaYGYmYTswMWDfaZI13SuTjgN+Jen09PhtlGjHLXgODqMrbQ49VGwqPBFeCCyreqmoWXRRUSTp3bmf80/lgwUtjdckLe5o0T+COGefKukAQnZlURDKw9HdPg/4oULzFiL4fl6/Dma7se25DCsRRs9LENe5c4GrugxaQTFd1EclrZotetN52Kz6bw69VRmT9l+JnJBCiuooYNG1U9JuDUHah9xE1i5Vr99JXJPf22T3jQHJGyS9i0iirEYEzK/sZtwV0et4CkuWEdfFrxCJm1Y+R0Wq5F6S/v9c7n2Vyka2qMJcRGOSJhUVtaraPMj2b9K9536HtGMWrFmq6JhcTHqj1bhnAE8peqzcMXsKbuV3RXRkXCZpF9tX0nBvrGrtoqg+3p44H9YELpW0t+3zcy/LYj1vJiS5/qNk4JmjY7UukaDdjpBtyTpO+6aHPIJUZaJa5P7SEpXotnP7jqOq4zUdPWGYxN2aDp+NO4lipAWECfSPJF1o+2NF9yPpreQk0nKFQ0XH8agk5+8dw6aC61lWgT+DUBXIqvErr/YfB74nEW6txTgy2P52+r9Q5UBFx7xV0eKzmu3jJC0PPNH2LZJe0PAFWib35coq1ypBJdqRXZ3BwSDZHPiapJ8RN9rz0qJ92HQy05hq/EHSn4BnSsq3Fg9b4+tRSc+2/TdYtIjrlo76oVOZFDh+DvVtkKVa/lOl0bbVjqwl3wE+CmTX/99KOhnoJvC9MxH0y37fy9O2RXSaZEl693SuTLL9VUmXAhumTTvZrvT393C60nqt2BRhXrgc9VJR8wlN9LLkF3BLE/fza6jXtJxgvOaaDvRVwNq2T0jzgdel12xt+3dNjnenpCfani/pM0Ti86B+VH8SBRa7EfqfEP4olXd4KZkaqV43eBEuYAJp+0vAlxQGvq8jrhdHSfoDEaw/v0kVZDuK6KJ+lAhu3kz8zVZmomYp9HDOlglwlOBQYGPXujRWJQpE8oHvlrJ2ts9XdCfc5CRv0Ya9CD3ch4jE4/l0d0+oivx4TknjObDE+8tIlr0y93xGY8C6Y5Vcj3/rohyS/n87UbGZdddtBzT73pxLJHmyiuFtibXPnYQO8uZEcdbriLkbREX8BdRLlhVCrf1eDmn5pvbPtaSi4NZC22dLMpE8/C7NA/RVrF2eBbzCYZR6uaRziSR3PvB9rqTfEX+zPdMaufHaVqRadyeioOLzaX29CrUChSlPh3t5GYrcX9pRuNtObTqO+hCvmVPgNZNSnlThm/Nu4j58DPBR21mn3p+AltcGSRsR/m6PSPoiMW/M/OVmS1rf5c0bn0Qkcq+ivhNoKP4Zia6vZ67YyLod48D3mL6gkO7YlYnBm51bvaeHY+1PTC5FVLotSUzcNhjkl4mC7cip8uEGR5vKjQMcX084JCeWIPSWtwOOSJPB93V4a99Qsfa8KYXt7SStQExsh3mTa2Q/oi33YuLcfw21oEkpXEw/dEqSFklrEkZNWYCktHZ7SsTtQlS45heMlV+DgcfZvqohuNNVUiwleDsGu2g/yZqWlUmSZtm+V2Gk85f0L3uuGwOdjriirrSC52tPFZu2zwTOlLSe7Z4Tabb3yj9OybofpJ/XAW6zfWdKwrwM2Aq4VdKc9LeYkdvXDeTM2VrwWdtzU6L/dURV4ZHUgmyV4ei4+R5wcZNKsSrJEv5Xt31VAWzPJzrpTgeQtAYxXzkBeEOJXRXRRZ2XzkHVNjWt4OvlnO2Hyf38bF+Jm4nET562snbp3DicDgZ6KRj3aWpmcEOl1/G4hGRZkYB1kSo5hczbF4Bn2n5TOqfXs12ZoZ6TVrCkQ23nA/VnSWr2vXyd7Xy34fWSrnH4FOyQti3t0LjOjnGfwiS1FGrj9+I2HhTd0Etwq4EZsEgiaCNCNqWuIKWqtYvtD6b9LWX7IYd3xcYNr/moovvg3+le9D8iyZGnY7Wu7d+Tm5vZvgX4UpnxTkYK3svL0PH+0oEy3XZz6NBxpJC+mu16mcpDy64VCn4fJ6s86ZOBt9u+Nb8x3Qvf0uG9/yO6rHYhui5eYvsxWPTZX0t588bKPLWqYDLFYsaB7zH94kxiwn4RrY1dqmJytNWEAAAgAElEQVRLYgJ+DYDtv6fKn4Higu3IHsE2laKkSeC5xAVtGZoYqQyYIu15Uw6HwdUrgeelTTe5zxI+Bcb0U4X+53pp08dc0zcshaQNgOtSUG1DYG1JhzVOOqYo69peo4L9nEgETt5AtElvTy3IVDV3pcrBTPvwHbSvHJqApK/b3lst2pfzC7ACk6zpWpl0MlHRnBnpZGR68aUlFsrg3rrSipyvPVVsZtXFwLtSYqRx/EUXnq24n1jIQXQ/vC4ddyPgi8T4X0J8Pu8gpE2a+qGk8TRqbGbn+mbA0emaW1kFraRlbd+Tfn4rEVjvVU+9LbazSuLKF70pUPN72usFN6OlLmqGpD2Bk7KErKQnKWQNGs0/ezln+yEndLWkc4BTiWvC1oQe8dshOovSovw76V8r5knaCvhxq/mXpAuJ7oV8QOUHtsskISqjxb0lk+j4dtE5lAtIlqXjbcbERN7nGl7WqUrue0RBTxas/yNR+V9Z4DvH4yU9NwVPM8PfRn8NiCTOK2xflV63DpAVGWUJ7/uV03xPwcIHuxjTIP1eeglu5V//0tzP9wHbaGIHZCVrlzTnPhZYFlhJ0lrA+xqTssTvtmFKMGfkzS3nFDjWaoRJZmP1fV/nFSNAkXt5GTreX9rhct12RTqO1vREmcq2Sc08KuYJk+17UsqT2t6/zXNt11WpKOj+3KblgCxZsmyX46k06VcBkyYWMw58j+kXj7PdjSFbNzzsaE/Lgi7NJmqDpEg78ii2qbRF4db+TqL64lKiImKbIQ4JirXnTSkUeptfIIJ7fyUmFytKOg74tLtrvauKjYFVbX9e0oqSXma7UfuyCEcSi8C1iAqBY4ig5qsrHOuo8gtJa6SgTS88z/bWkrZw6PydTCQj+8GexAJgdUm3Exq0O7R/ywSywHSRFuW2k6zpWplk+y3p/8qMdAZIx/O1ggrSyqqLYUIgbSYREDg1PV4sVwn2TiJQfRpwmqTM62Mxos23aDDzdoXm9qaEtMdS6bhV8U5J/7b9I2B/JlaKVX5eSWobABjGnMjtdVEzdrV9RO49/5G0K1AX+O7lnC0Z4CjK0oR8RXYv/RdRxLA5sIWkOW3Gk69a3Y3QvH1U0oM0lw9cvklA5WldjLkq2hmrfQeozFhN0lGE/MfGxPzlHYS0Uf41Rarklrd9qkLLmVRx2q9ion0Ijei8fM9uTV73PuC7kjKJgvnA+9J5enDatjehu//3tK8ViM+7LAPze7G9v6S1FPIQAJfb/k16rnDRgFp0PFMv2VbV2uUbRLL7jDTO3yg6EvLj+QyhW746kXh7A1E1vyjwXTCQdhxxX/gacV7vRLX3n1GlyL28MOn+siRx3Umbyq/bXKzbrkjH0UxJT0qFCyg6BgvHB13AE0bSJrYvVr23CoReemkpx8mGo6MP4vp4raRLiOviRkSHVSkUxqrfBF5AFCcsRngqVCbfW5JJE4sZB77H9IuzJb3Z9jkDONapaTG4XFp47Ez7SpV+U6QdeaTaVArybqLSZDd3acrRB4qYaUw1vkKYkTzX0dpNWhAckv7NHsagFK3PSxA38s8TCZ2jqNfBLcqClMzaAjjc9rGSdqlutCPNCUTw+07inO5Wuz2bSP9XoZF5J9CXoEOqEHtdWvjOzM7LkvvIEiRXkxa70NIUq+0kaxpXJgGg0Da/OFe9uxzwmhRIG1U6nq+9Vmxm1cXAA7bnNux76y7GnE/SLABudfI4IBaamXnla6k3ls3m3nc0qQBtxzaEmfchtv8r6RmE1nQl2D5aYe4GzSvF+lHNsx5wGxGM/BX9N0jtiNroouZetpikGVnyLV2nlmyyr56rjAsGOArhNiaiklZOP+6Z/s8bDNf9DkWCHcBjqtdzXblxPwNmkMZq69teU9JvbR8g6VDqddShWJXc/ZKeQq2bal3i/Kkc2+c1VGPe2Gyub/vXwIslLZse58dzavYahZlwXgqom6KMgfm9SPoQcZ3OgnDfl3S0yxsKF+l4rmrtMtPhc5Xf1njMdxLVydfY3jHdN76Xf0FD1e6SxFy+MZC2jEPiaUaqip+j8KbYr+SYJxtF7uVtkbSca50vryFkPf5CrXDpPbZ/1u0A3brbrkjH0aHEmmNuGs87iDVclbwauJh6b5WM0lKOkxFJM4iE07rU1sUft31nF7s7nOgGm0vcR95NLZEyDCZNLGYc+B7TL2YDn5L0MGFYULmZZIbtQxQGPPcSk6z9bF9Y9XFK0LIdWdLzgKc3ZtdTkHykM2UObemnA5umSdZV7lLKokLmDPn4w+AtwPPziyWHru8HCKmAoQS+iYXe2komgrb/naoaumF+qnDaEXiVQmNxyms0J44lfu/rKWfc18jRKUjyWaKt8gn0aYGSKk+3IlU4ZYuwkkG9jHl0NsXqNMmarpVJGfvbPj17kIKk+5OqwkaUIudrVRWbnyQWDJ22tSV/H1cYht2de/oUwiTwLqLF//L0uudRC1wVCvIqabcTSZxL07YnE+d+JdXrGbazRXFPeuolWIGoYN8OeBdhtHhKrkKqNKmqOJ/wKispN4cOuqiEaeYPU9EFRGXseU32VWmVcZsARyFS1f5eTPTfeWsKZiFpU+fkGoCPS7qGXGVaWsRvD6xi+0BJKwLPcJK/SHya0HO9jDjXX0V90GjQDNJYLZP1eEDSM4lrwzMaXlOkSm5f4nq4qqQriHOpmyRdS1STgAJ4az4pKOkLbjBeU3HdcVFLPq+tLswbXcDvJVVYf5yJie68kWgR3ge8MiWakPQlIsheNvBdpON5Tsl9tuI2hdzJwpR824uQw8nzoENic4FCBvROopp/EflEVvpub0EE6PI8lObif5L0QeB2at+fqUyRe3kntpL0gO1TiEDz6+3oJlKYGJ9CyB5Vigt0HDnMta8mjHcXEnI/vXacNh4jkwr5nKMDcxHqQyfZKJKKuc6x/WJ6kLrJ7e8mSYvZfhQ4Lq29P9nzQLtjzpCOW5px4HtMXyhYDVIJqRrgv0SlwR8bqg+GQbt25K/T/MJ0T3quWTZ0aDQsErYmqqAuJRYx35T0UUdb9FBoTCBMExY2qxBKE9thVlNlJkBZZdJT6D5w+04iCLKzQ898JaLSfTrwL9tVTIoyM7LL6LO2M1HhdA9RkdVrN0gRU6w5HfYxXSuTMpoF+Ud6vlfwfO2pYlMh1/Vm4FmSvpF7ahYlzFhT1eUXCZ3GA4nK2OWJluF32z7PIfc0jwh2XZC7Zs8kghMQ1WNFaNRuzwfM+6Xd3pOeelHSou084Lw0V9qOkFs4wPbh7d9dj0KX/FDCYPyfRHDnD4TOchmK6KJ+nAh2ZwbOF5IzgMwxyCrjIpxBJFfPovX9eYakDWxfASBpfSZeU76V3r8JcV7cBxxBrsMrVRCvTS2Atrftu6r6RbpgkMZqZ6e1yVcI/6GFTDw/ilTJ3UBUSyqN2VSfxN0WyALfjQnANzLReO17NNEdl3QjyZslJVo3Ia5N89J+fk5JszOFFNIPgDNt/6XFy04iulE3I7w93kNI+JRlBvXV0o/SXQdKx47nCtcuHyDkTlYiJIwuYqKp/LXpXPwukSi9lwbZnYaxLSQklvanXoZhNiHf8yHiO78x8VlPaQreyzvt41hJmTnqElnQOz33R0l9KexR8Y6jJaid6/0sMjqNkH/N8yP6EPSvElUnLXKNpHVS10wvPJAKy66T9GUieTq04p7JFIsZ6YXQmMlLwWqQXo+xFGE68TaiqmYmsLKk04HdbVddwVGUdu3IT7d9feMbbF8v6TkDHGNRXilpa9uHAp8B1smqvFOVxUXETWugqISZxhTk9ym4UreAkLQDUfE9UFRrATyCmNQ8VdIBxPfggG72mYLdpwGrpU13Aae3ectU4lqFvvFZ1C+GS7UCpoXOu5lY2dergV8znm37jRXtq6MpVoFJ1nStTMq4WtJXie8khHRBN1r7A6OxayDb3tA10GvF5t+JBd9bqf885hP6tkU5nAgGLUu0777J9i8Vrf2nkCp/bf+y8Y22/5j7+d+NzzfDQ9BuL1IpVhXpb78ZEfR+DhHI6eZ6fyARZL3I9ksVWrdlvQagQLW7Q3f4e4SkUCsdcBhslXER/mf7Gx1eswuh4bwsMaf6D/X6xBCVsfkOr/+oeYfXUkSCaHFgjVT123VLfy94gMZquc6J0ySdTSR0G4ty5hTY1S9sr00EwAFI1feNwaNemNHi52aPobXu+ELgx5L2IqrS1yK+H+9V96aUhxKFEAdL+jURBD/b9RJBT0mBxdlpbnBZem1ZjgN+ldaQEGvLbkxEs47nhwgJr0XrkqrWLpI+aPvwtB7btsnzT8vWarYznfYjJJ1PVM1f0/D6vPbyTEI+oU6GKQvWSXrMbSSTpiKd7uUF95Ell66WdAy178P2VNy5laNjx5Gk2YQm/WnEeditxE9L0tzohcCyDefaLHJdGiNMVdIirwS2l3QrIQfarZTljsT39IPE3HVFYv48UCZjLGYc+B7TLzpWg1TAp4nM5IquaR0/MR3nswxYR1vF2pGXa7OLZfo6wC5waJVvnx7OdL20yd0MKcM4yI6CEWRPYnGxM7XgzcuJ82fLIYznKmDt1C73f4RMxQxga9u/62aHCq3+9xNO9KsCzyL0wotWSE5mliGuGa/PbetGA+8c4Jf0LplShCslvbhZUq8LWppilZhkNVYmbcI0qEzKsRdx//thenwhNd3eUaVI10BPFZsOo7LfSDrZSW9WIa+yopOxU0EWdzIWlPS5bFFs+8aGKuHKkfQsopI5nxyoLJDYokJsEa5Ys1HSCcCLiOvVAd3eMxKP2L5b0kxJM21fIqmbgGbHavdUXf4V2uuAw2CrjItwWKrkvID6xOo1uZ//jzCXbqbhnPGIQloh6/B6Kg33GYVUxDuJoG323EJgKIHvxMuoJdfWUhfyG0XQRBM3JN0DXJ8LSLZM4EpagZj3LCPppdQC0LOIe1uVLGzxc7PH0EJ33PaVis7QNQgfhUclzVAYxXZlSpkLZC9G3Md3JSqX8wGVTDv8DkmbEQnOJ3dxrK9KuhTYMG3ayfa1Xeyn5fqkwrXLzkQwrhWbpWvSPsT1Nc8CSWu6XjIm3228gNCf3iL/JknrEYmAJwArKcznd3NNjmZMMT5AzMeyIpTLaTBFrpAiHUe7UI3ETztEdK0tR/25Np/4To88rkZa5A29jCFLojvJkhHJqa4KzKpgMsZixoHvMf2iaDVIL7wdeEWqTCIdZ76kPYiAz6ANJIu0I18taVfbdeabkt7HiFbk2T4p/XheqhbIMsfbMtGsZ0yfsX07UYm/CbUW7nNszxvSkBad5w5d1irat/ckNFZ/lfb7J4Vu65SnwkqapW3vW9G+OrEh8F5Jt9CbIWdbU6x2kyxJ20lazfafcm2E9xH63tOKtIAp7RQ/ZDp2DVRYsXlhClwuTtx3/ynpSttFq77zAb4HG57rm9xULpD4e2ot+VUHEg/p/JJK2YGofJoNfCiXOOimYui/kp5AfB4nSfpn2ncpCla7789EHfAJFfmDrDIuyIuJarFNqA9GbyJpB9vfl1R331DNs+Gruc1ZVf7TJH2eMET7TMOx3gbII2KGLulEIpF+HfXfn8oD30QwaT3gkvT4NcS1ZhVJz6YWrM2TP+ffALwXeDaQ/9znM1F6pFfWknRvOv4y6edsPM2qMZvpjr8Dwm8G+KWkzJTyBOLzfoA0nytLCpxvTlz71mZiwuiglKT5MBGsm0W5Dp7MnPYG26sT0jQ9kRKqq1GvOT6whI/t41ISYEdCu7yRhYQRffb6IvOkrxPn5U/Se34jaaP2bxnTSLoefpX673W/KNJxVJXET0tsnwmcKWk9230xp+0zVUmLHGS7ztcj3ZeKen2cQer2kXSa7YFXeU92xoHvMf2iYzVIBTyWD3pnODRhB6517GLtyHsDp6cq6ny17pIMp1q3MLY/mqpYNkibjrI9ymZpUxrbFxNt9sPmqY0L5TwNi+WiPGT74WzBLWlx+hhQGiXUxnys5K5OTJXzZ1Nf2VdIXqEkb6p4f92YYl1JtPJ+kdDfbaaDP3IO4/0g3W8/RiTGejH7GiRFuwaqqNhc1mEI/D7gBNv7S/ptx3fVKBsoqopBBBKvTcGrCaRFc6XYrrJrbAuiAmofon18WaC0wW6LqvdGXdRmOuCt7lEDqTIuyNbAc91cCvDx6f9mCca63832SanD67XEef82239oeM/NRFfmSAS+ibn2Gm7ikdIHFgdeYPsfsMgQ8gSi1f1nthurcOuwfTxwvKStbJ/Wz4HaXqzk66+RVKc7niWnYZHU5cG2/wscI+lCYLnUcVMKSacSCabziArnyxwyQ28ErrZ9l+2z08vvIXSnS5Oq050PEnZLuq/MJpIW1xHyS78gkk1VsWbuvpNnUfLE9k/Tto6dJUXnnbZva7jm5QOmY9og6VTb20i6nubz09KFIgUo0nFUlcRPEbZMleYPEt/pNYF9bHcjgzRIqpIWqfMbSXGyMvrm+YREv72bpiTjwPeYftGsGqTqCuyFKaveLDPZ79b+tqhFO3KaBK+v0J7MJr4/TUHMkUT18gL5z/r9kv4H/Bn49BArjscMl8WICoIqKwQuk/QpIqi0KbAHoXk9HShiPlaEh4lW/E9T+/72xQgva7tLVfk9Bf5SG/5riMD3OURQvaMplu1bUxXv8xh81eqokZl9vYXezL4GSceugQorNhdXeG9sQxca1mUDRRUyiEDipdQqiubZzstLLao2GkWyVu1ELzIiHXVRKaADDgOvMi7C74h28382PmH72+n/Ca3TkvZO/89KSaMnp32cknvNkxsSqw8QFXLzqE++9sNnogi/I6Sz7hjAsVbMgt6Jf6Zt/5bUrNq7FWen8+w5tPY+GAiS1gFus32nQ9f7ZUTw51ZJc7K/ve2Fks4huguy+cGtLXfcnmOB7ZK8QJ47gFMk7UOYzDYLJJY9z55EfK+vItcp0kXCfDYh6/lL2xunDrYvlNxHJ663/dIiL0zzokbuAX5n++70uMi88zaF0e1ChRnjbMI8eEwxZqf/3zKoAxbpOHJFEj8Feb3tj0nakpDTeTvRoTXqge+7gIfTZ3dAClgvVfTNCj+EbE2bFU1ArNOOLjGOdrJUYwowDnyP6QsFq0F6ZVmiarpZwG1oF4Qi7ci2L6HWAjnSdJAXWIwI4J/ERB25MdODO/qwCPsE0Sp8PbGoOQc4puJjjCpFzMeK8GHgebbvqmBfbUkLq0OBZxIL/JWJBdEL272vBe8gTLGutb2TSphipUqwPwP7296+4xumLlWZfQ2SIl0DVVVsfo7Qbf65Q1rnucCfetznIBhEIDE/n2rUya20/bkqJP3c9oaa6AHQrcFSEV3UvA74ycT5dFCTfQ2yyrgIywE3putB/hzqFNzblwiUNJP0y/+fT6z+JP0bFZYnzMGvotzv3g2XKkwt56bHW6Vtjwf+W2I/RbwPBsW3CQ8XksTFF4nvwUuI4M07cq+9RtI6rsmOlULSx2x/2fb5Ct3wubnnvmD7U5K2INYdVRkDVlWc9T/b/5OEpKUc3g/9NX9ozwcI2Z1MU34jQs5lZUn72T6ZYvPO3YHDCO352wmfgFH3DhkZbGcJt5nEuul/sEjK5+l9PHTbjqOUxPxL+pdtWyLfxVEhS6T/NwPmNumaGlXmEde++9LjZYjzf/0ib7Z9MGHQe7Dtsrrgedp1G46kmeSoMQ58j+kLkk506Bjd2GRbJdh+TlX7qpiR0jXsJ6kK4zeSqjTBGDO5qDwYkgKYZwBn2B71StWq6Wg+VpCbiEDZIDiQaOe9yPZLU0fLDl3u68H0918gaRYlTbFSy/LKkpZs0c4/HajE7GsQqGYKPb/Ayyup2LQ9l1wgxfbNdNe2OmgGEUgsa3Q3dGxvmP6vymipoy6qi+mAw2CrjIuwf5fvmwGFJf1IrxmGeWc75gzwWHsS1YxZFeUJwGkpAVJGjqOj98EAWSxX0f9O4Ogkw3KapOsaXvtKYAdJfyGqp8v6fmwLfDn9/Ely12vgjcCnbD+QCqy2sf2R0r9NDklvI7rFrrd9fi/7Av6m0Dc/g/CT+A/dV7y3Ym7nlyxiJiG7cwdA6nb6LjFnu5RIZrWdd6Yipx2neUFBVcylPmD6aNq2TvOXd0/BjqNriDn2f4jv6XLAnZL+AezqMDuuirMk3UhInXxAIcv3vw7vGQWWtp0FvTNJ3W5Mhj8taQdgFdsHSloReIbtq4q8eYjdhlOGceB7TL/oVcdoMjNquoZ9J2uRHTMteW3nlxRDoQ25P6GjNjNtexT45jBae4dES/Oxkvu5n6gOvYT+t5k/YvtuSTMlzbR9iaRujdsyU6zvEFVu9xH6mGW4GbhC0k+ob1kehJnQKNCz2dcAKWIKnVFJxWZabO3KRPmAnUuOfaAMKJD4NIVnw4zcz6THTx3A8btG0rqEQd389PiJRLV1WVO9IrqoRRlklXFHbF+WumiyIMtVtifInjRhQtJDLST9cs+vBhxMza8he81QtElT90vfSeudi2xvDPSqz13U+2AQLCZpcdsLiHnf+3PPNcYT3tDjsWa0+LnucUp0b0APSPoWsWa9EjhQ0itsH9jt/mxnfk1z0vxrWULPuDJsl5FOWTFXbYztOyStbPsuSQvS5rbzzvQ5vwv4Wu+jn/Ysni/KcPgZLdmnYxXpOLoQ+FGW8JH0eqIQ4DjgW0QSqxJsf0JhDnlPOqceILw5Rp37Ja2dSwS9jInG5kU4gvh+bUIUDN2XtlWe9BjTnHHge0ylVKhjNJkZNV3DMWP6hqs1S9yHME9dx/YtAEmG4EhJ+9ieDpPuduZjZTgj/RsE/5X0BELO6SRJ/yQXcC6D7T3Sj0dJOg+YZbuM8SCE78CfieRJVVWgkwZXYPY1KMpUkFJdxeaZwOXARUwCcy4N1hTrO9S+M/mfYfTlpo6kXoP8/ibbOuICuqglmFPy9X1F0jaE98OlxPz8m5I+avtHTaRiMmYQrd35/XSU9CMCJ/sTwbKNgZ1ICe1B0uH3qrw9PAV0HpO0rO17etxdR++DAXIKIZt1FxH0uRxA0vOIew2SliYkMZ5HSNUdmwLlZSnTeXJdSnLPpT7R/eOCx9oIWCv93R5H/F5dB75hUfLj6cAtadMKQE+mmT3wM0lnAqemx1sDl6dE3r25bZ3mnT+XdDjhH5L/nMt2I053/iXprbZ/ApAke/olSVik42hd27tmD2xfIOkQ27tJKqxjXYT0/doDWIlInD2TMMk9u937RoC9gbmS/k5cg1cg7n9leaXttSVdC2D7P31MeoxpwjjwPaZSKtQxmsyMmq7hmDGThR2BTZ3TpbZ9c2oNu4DpUW3S0nysDANuM9+CaFfcB9ieqHDqukK/sZJQ0kb5SsJOOJmzpWA8+RbF6cBkrGhWmB1dnAWKUtX/a2wvSt5UWLH5ONsfr2hfg2BgplhuYmw4iZiRr2xLkkndrnPa6qIWZVBVxiX4NJFY/icsulZcRFT8lUkSFpH0W8b2PEkzHAaHc5I0xX7dDr4bKpTAKcN9wPWSLqQ+SFi2AKaI98FAsP35VNDzDOCC3HdtJqH1DdER8QgRPH4TUe0/u3FfBWinZdtooL00cDf1XXELgaKB74edzDOTfEpP8n2S9iISPv+gvnp6GMkKiEDj1tRkd34AnGr7MSLoD8XmnS9J/+fndt10I053dicKRA4nzufbgHf36VhFOo7ukPRx4ryACOj+IyVvWhmddstxRHdfJvVyO5GwGunAt8MLZnUiSJ82daWB/kj6XBfCovtv1Z/xmDaMA99j+oLtT3Zqg+yVNIH+OXAucGmuImeojKCu4Zgxk4Ul3MSM0fa/FC7y04FuzcfqGGSbue18dXdP17+ClYSd9vEi4ESSrnWqUHu37RvavnHqMKkqmhP72z49e2D7v0lz9Iw+VGyeLenNts/pYbwDI2tTT8FDFNr34/n7RG6W9CGiyhsi4HNz2Z0U0UWV9GxCRmjD9NzlwGzbf0vPD7TKuAQzG6RN7qa7Kuwikn4PSZoJ/EnSB4kgxxPavH4q8WOKB14noDCcg2LeBwPD9i+bbPtj7uEatl8MIOlYoJB2bZN9Ftaytb1TN8fIsbqkrKtsBrBqetxtdf1sIil0d4/j6kiSNJsDvCptugz4XL7TICUA5xHV3QuBq1PQO0/HeWeS7hnTI7b/DKw7oMKMOQVe8y4iUXMGcX5ckbYtBmxT8XhWtf1OSdtBNYmmfiJpE9sXS3p7w1PPT8nwstf4bwCnEzJynycMgT9TxVjHFGM8cR7TFyR9kTAn6Tp4UYBXEouONwIHSLobOB84t2EiNhAG3I48ZsxUpF2b5XQxKuzWfKyRvreZ54I72cQ1u+71Etypwhz4aGBf25ekcb6GkG0o5MA+BZhsFc3Q/NxcHPpSsTkb+JSkh4jqxGEHIwshaTfgAKK7IvuuNeqgT2d2JxaWnyE+l3nU6xAXpYgu6nGEPv3W6fEOadumMLQq4yKcJ+l8QrYCIsl4bhf7KSLpNxt4HPAhQjpiE+A93Qx6EvJDQu4D4KYuCnOaeR5kjPJ3flEVpO0Fktq9thJySahM67suCVWAF1Q8pNtI0i8D4LtEtXYWoNyRuA4tCtRJ2oqYB15OnE9HJenA03P7KTTvVJhlv5D6Yorp4r9TGfnPMfuO9ONzLNJxlIqN9pL0+IYiFoCbKh7Sw5KWoVbxvCqj7Yf2auBiYPMmz5XpKgHA9kmpaPO1xHfxbbb/0PMoxxRmHPge0y+2pPfgRVuSbtyl6R+SnkkEwQ9KF9Nf5fRiB8HA2pHHjJmiZO2tjTRrb52SuHvzsUb63mbep+BOFebAj8+C3gC2L016ltOFSVXRnLha0lcJox+APYngT+WMcFCyEx8BXtSsK2YMpOvkthXsqogu6lNtH5d7/D1Je1dw7L5i+6Opei2TPTi6IQBWlI6SfrZ/nX68j0i8TnmStM4XgJ2BW4bZrHYAACAASURBVIm5y4qSjgM+XbQ93sU8D0aR/BwuL1PSz+Ri2yRUJ7JOmgq5GbhU0k+pTwr1w1x7Vdtb5R4fIOm6htfsR8gb/QMgzS8vICpPs7E1nXemAO01DkPMowjPh1cAJxEGiF1V9E9n0uf4OKIg5Rii6rfSz7FMx5Gk9dM4ngCsJGktYLc+xU/mEEavK0o6iUhWvbcPx6kE21lC6HNOvlMZkgpfo5t4H3zb3XkfjOmRceB7TL+oInhRCtt/J7Lf303tlesN6tjp+ON25DFjeqBMe+tURW3Mx0ruqu9t5g2Tud8C361gMleFOfDNkj5LyJ1ALIRLSx5MYiZjRfNewGeJSkmAC4ngd2VIamty6NE36foz8f0Y04QKte2L6KLenbwnssrp7QjZkJFEYUD4dNtXpPbsH6ftG0paNbXfF8b28alybyXbbnHM5wMfZaLk4VTWBP4KERxcxfZ8WLQWOCT960bvetIwpDncqCWh/pr+LZn+9ZMHJW1o++cAkjYgjEfzzMyC3ol/0tBh1WreSXRtHytpDrC+7TUl/cz2HEmH0F23yHQn+xx/a/sASYdS8edYMrn/NeANpESm7d9I2qj9W7oe1wWpAGdd4jybPUkS+acx0ST7R4QXSBEavQ9eQBhmjhkw46DcmH5RRfCia5J+2RWDOFYj43bkMWPG9EBL87GS+2lsM9+Y6tvM85O5NxOtm70u7KswB96ZuAb/mJr+7nSpOJwBvND2X4c9ljKkFttP9Pkwh7Z5bjKYdH0SuFLSrxjCvGoSUJW2/ZwCr9mZkFf4GnHuXMkIV64BXyfOn0buSc81a+VuiaTNiUDuksAqkl5CVMXlkwNzgaMImanJ4jXQK28Bnu96k9V7JX0AuJEpHvgeEiOVhPJgDYJ3B05IWt8zgH8z8Tp0Qao+zz6fbQlZ0DxN552210rf9dWoBdQXpOfvJYxOx5Qjkz16IHWq382QP0fbtzXIEvXlei3pLKI74ydNZFVGDoWh5QuBZRt0vmdRrgu5Eu+DMb0zDnyP6RdVBC8mK+N25DFjxnRLz+ZjCtfwd9r+CP1tM690MpfG/Xrb2/c4rtc1BgMlbU0EYqY0themRe6Lhz2WIkj6uu2904KomTdGKVPXdkwBc65vE3qT1wON5mRjKtK2L6KLCjy78dxM1Za39Xr8PvF029c3brR9vaTndLG/OYTkwaVpP9dJaizuWGD7SKYXC5tpw9t+VFI7zfgx3ZNPQkEUPRWe80g6mqi4vSir0u+GQd7Lcvv8DSEvMys9biYV+BFCAzzTQD+eiYUULeedth8ljC/PlrQccBjR4TcDOLaq32UacVb6HL8CXEOcK98Z4nhuS3InCyUtQSTn+qU7fQjhK/FFhZHqD4Czu/BAGBQikpnLUZ8cnk90lxVl4N4HY5ozDnyP6Qu2jx/2GIbIuB15zJgx3dKz+VhaZG/Y+ZU9U+lkLo17ZUlL2u7FzPSTTAxyN9s2VblG0jo5jd1R5oT0/yFDHcXkYAnb+w7qYJJeBKxBvZHZCa3fMXR60rYvo4tKBNoaW5+bbRsVlmvz3DJd7O8R2/c0XPMbkzFnSdqD0BLOdyj8u4vjTRZ+L+ndjd+TVJF8Yzc7TPfy1Wwflyptn9CoNzudSfKSvQSVjyXkB/aV9DChf31eCiqXIZNWG9i9TNJShNb2c4DFmxklpkTMD6nJiDWj47zT9oHpxzMlnUv4yAzKxHNKkOQH59n+L3CapLOBpYf8Oe5OJDOeRUgiXkDFMnMZKal8WSpy2YQIHn+XqKAeOWyfSZzv69n+RQ+7Gob3wZgmzFi4cJyAHlM9klYDDmbioqlyuY8KdR2rGs9LCWOVcTvymDFjStNgPnZ5N+Zjko4kJrJzgUUthUnftRIkPZrb9wwigPIAPUzmJJ1A6N/9hPpxdzSGkvQmQnJlG+oXebOI6vRXlB3PZETSjYTu+q3EZ5j9PdYc6sCaIGme7ddK+lIV1bpTGUlfAP4CnEWfA4mS9gdeQ8zhziECQz+3/Y6qj1UVKXD9eODh9K/yRaWk9YD1CX3Or+WemgVsaXutqo5VJZJOAS62/Z2G7e8DNrX9zpL7OxaYR8gTbUVIai1he/fca5oFZxf2Yx0wKkh6FiGx9SA1c96XE/fGLW3fXnJ/+6f3y/bzkzTCXNsbdHjrtEHSl4GDiM/8PGBNYB/b3+9iX08BXk9c714MXEsEwU8t8N6VBiUxJumTtg+WdB4hV/R/5OQpbB8q6T+0T+Q9uWGfPc87x3RG0rW2XzrscQyL5A2xOZFcWZuo+N5ruKNqT/KrOJLonHqRpDWBt9o+aMhDG1OSccX3mH5xHLA/sTDYmGg7K9WuX4KqdB2rYtyOPGbMmFJUbT5GJBzvpl63eGG23yrok5HVn9O/mYRJWBn+TiwA30ot6ADRlrhPJaObHLxh2AMowTNSm+1bJf2AWJQvwqNvODlItkv/57Wa++Uf8g5gLeBa2ztJejpQOpA0SEoaenXLkoRJ8OLUX5/uJT6zUWVv4HRJ21MfkF0S2LKL/e1F6AI/RFSJnk94SSzC9ipdj3aSkgLbr5S0CaENC3CO7Xld7nJL4KWEJAK2/y5pEOf5ZOL1tj8maUsiMfh24Gd0cb2yfTdxPp8CIOllwBsLvv0MUseHpNNsb1X2+CVYP/3/bNutxrd8p530Yd45pjPzJG0F/LiZLNKgkLRfm6cX5ir8qzzmqYRE1nnA4cBlyZNt5JC0O3Cp7RsJKZqPEvEdbP9W0slEwm3MJGIc+B7TL5axPU/SjNSGNic5+ba70HZLJbqOFTLQduQxY8ZMCSo1H7M9Kc0cM2MoSY+zXUoyKrUm/0bS920v6MsAJwG2b23WHj/scbVgP+CzwLOBxqr+vhhOJi3m62zfnyQI1gYOS3OVkWXAgcQHbT8maUHSj/0nsOIAj18ahbHr9sAqtg+UtCLwDNuVGUnlWrW/N+rnSx7b/wDWl7Qx8KK0+ae2L+5yfw8Qge9PNz4naRPbFzeYgeXfW1nydVRJn2tXn20DDzt8GxYCSHp8BfucamSxjM2IavhGCZ6usf1/1CfR25FP2va7qyHrYrlS0ovdXL9/USGYpBcCr0oPf2b79+nnSuedYwqxG7AvYRL6P4Ynd9HMXPLxwC7AU2hIZFbEscB2+XNzhPk+EZx/LxFnuqrhujJt1xiTmXHge0y/eChpWf1J0gcJ3ah+Lbx70nXsA+dKej8DaEceM2bMlKFS8zFJ32iy+R7g6qRbN5IkKYFjifvFSpLWAnazvUeB915Pau1ttvAdRamPfpBvjye6r5YgJvEj1x5v+0fAjyR9th8VRi04ktBcXAv4MHAMoTX+6gEdvxStAogZfQokXp0MuL5DBH7uA3rRuBwE3yK67DYhFu33AUcA6/ThWEspTPGeQ73EXuWJmiqxfQlwSa/7UXMDv3uAq4GnEkHfZkGzSruOpgGnSvo2sJykXQkjx2Ea4Y0iZyd5rweBD6RE7zDM8ha2+LkfvC/9vyHw3iQr9BBNZM3SGnwPoiIdYK6kI2x/ixLzzsmaMB41BtSZ1BHbh2Y/py6S2UR3/g+AQ1u9r8djni9p/XRu5e+bI+cdYvu+dM0FuEvSqtTWF+8A7hja4MZ0zTjwPaZfzAYeR+j+HUgsRN7Tx2N9KpmS9EXXsSSDbEceM2bM1KBq87GlgdWpGTpuBdxCBPw2tr13F/scBF8npDp+AlHFLWmjgu99S99GNbmYVO3xkpYEbpeUmYLdAJxs+6E2b+uFBamKcgvgcNvHStqlT8eqgiyA+DSixT2rJN0YuJKKAomSVrB9J0Au0XRU0pGdZfu3VRynj7zS9tqSrgWw/Z90bvWDucBRRNJkMlSvVc3NRIA7b4Y3H3g+qRp1snYdjRK2D5G0KSGlI2A/2xcOeVgjhe1PJJ3vexwG2Q8AWwxhKJmBXd68DvqwJrX9p/Tjmwq8/P3AK2zfB4u8Iq4kEoVl5p2TKmE8qmS+Jp22DWgsTyaqz7cHjgfWtv2fPh7vRGBV4Dpq982F1EzORwrbj6Qf9wSOBlaXdDuxltp+aAMb0zXjwPeYvmD71+nH+4gMYj+PNVIL+umoazhmzJieuVrSri3Mx4q22uZZE9ggaylUmF1eTlQITajwGSVs39ZQsV0osDSuPFrEpGmPl7QGkeS4gtp5/hrg05K2sH1DHw47X9IngR2BV6XutCX6cJxKyAKIki4gTFrvSI+fAXyvwkO9QdIriIKFCSaNktYecc31RyQtRq0q66n0z2dlge0j+7TvycD6tvOV9GdJ+rXtdZKpHgCS3mP7+CGMb8qQAt3jYHcLJD2OqGheiQjyPpNIEpxdcj9bE0aW8yV9hqhoPqjoNa9PniedjllE1mwGURSW8Qg1WZYy887JljAeKSQtTRQELi/pSdT+BrMII/pBj+crhB7+0cCLs8RIn3k5MYcZmrZ5lyy0/bo0l56ZrhGlYz2pe+9LRBHDDIZfqDntGAe+x1SKpJ+0e972W/twzL7rOhYcxzDakceMGTM1qNp87EnEAuie9PjxwJNTRVS/Kmmr4DaF2eFCSUsQHT1/KLMDSfOptRovSQQ1759Gk8tm7fHHDHlMrfgm8IHGKkZJryP0FTfuwzHfCbwL2Nn2nZJWAr7Sh+NUzYpZ0DvxDyLYUwm2j5d0J7ADoWvZSF801yvkG8DpwNMkfZ4wm/xMn451lqQ90vGmo6TdEyStZPuvAOk7lAXclsq9bjZRSTimBA33sAlMo3tZEY4j5kyZ4ePtREdGqcA38Fnbc1Mg+XXEPeFI4JVVDbRqCsqanQj8StJp6fGW1L6TZeadWcJ4B2CjUU8YjyC7EZ/3M4nPOgt830vMdQbNh4l712eIQoNsez+Dsb8DVmDyyYScRlTD53XRfwS8rOR+vgxsbrvUmmZMdYwD32OqZj3gNqL98VfUm31URpqY/CJVMw5S17EdA2lHHjNmzNSjavMxYoJ1naRLievwRsAXUsXCRb2Ot4/sDhxGVMDcDlxAVHMVJt8FlBKjWwDrVjjGkWaStcc/q9nYbF8k6Zv9OGAKdp8GrJY23UUEMEedeZLOpyYvsS0Vf5eTBudM4CbbV1S5735j+ySFifpriWve2/q4wMyk+z6a2zadJO0+DPxc0p+Jz3oVYI90f7l7qCObAmT3MEkHEkGiE4nPeXvgGUMc2iiyqu13StoOwng13ffLknWWbQYcbfunkg6qbJT9oaOsme0vS7qMWjB896wru+S8M0sY7zLJEsYjge3DgMMk7WW7L3ObkuOZOYTDLg/8XtJV1CeMKy+KrAJJqwMvBJZtKG6cRchJluUf46D3cBkHvsdUzQrApoTO9buAnwKn9KFd+TEiE/9+Bqvr2JIBtiOPGTNmilKV+VhqQz0HeEXa9Cnbf08/f7TF20YB2a7TzkumSl0F4VJL5RmpMuoTFYxv5JH0JdsfJ9cen9s2asyUtFSjnndqC+7LHDVVwb8feDKhN/ksQq954BqbZbD9QUlbEkksgG/brjxgb/sxSYcTAZVJQZI4ucH26sCN/T7edJe0s32OpNUIH4m0yf8DkLSUwlx5BvBsNRgt2/7QYEc7qXmr7bzs0JGSfgPsN6wBjSAPS1qGmsTRquSCaiW4PXVKbQp8SdJSwDCCg2UoKmt2FaFLvHh63TNz88FC887k//DV3OO/MqLazCPOnZKe2K2kziRnzrAHUBIR3kHLUW/WPB/Ytek72nO1pB8SRrP5wP+4MHJAjAPfYyolVWCfB5yXJg3bAZdKOsB2Za08tq9UGJjAYHUdi9DXduQxY8aMKcg6wKvSz48Bf2/z2lHhm8RCoNO2ljRUZswkWnf/1/vQJg2bAo1B7jc12TYKnACcJmnPTKNd0nMI2YoT+3TMPYmE0K8gjMIkPa1Px6qUFOg+HUDSqyQdYXvPPhxqnqStgB9PBj3OJOHkvPxGP0m6wvsCK9l+fwoCy3ZZeYXJzMuA5xBrybUkYfsE6hOrVw9jYFOI+5MMxQ+INc52wP3t3zLt2J9Yd64o6SSisvm9XexnG+CNwCG2/5uKlka5SACay5o16nXvAXyO6MR4lCRlAaxR5kCS1iXmYi8gpFAWA+6zvWyvv8Q0Y9JJ6lSF7cuGPYYy2D4TOFPSerZ/UcEuZwEPAK/PbVvIWBFgYIwD32MqJwW8NyMmaM+hprtYKbavSz8OUtexCH1vRx4zZsyYdkj6IhH4Pilt+lCavH1qiMNqiaT1CImop0raN/fULGKBVYZ8ZcYC4C+E3MmURtIHCFmY50r6be6pJ9JlxXy/sX2QpA8Cl6dgIkRg55A+tgM/ZPvhTNNS0uK00dMdJSS9lJhbbUNU8PVrwbQbEdh9VNKDTA4TpicBN6Q26kXBwT61UVelKzwpkXQi0S1xHTWJiIXACWMzy0p5FyH9dRjx+V6Rto1J2L5Q0jWEnNkMYLbtu7rYzwOS/kkYgP+JmDv8qdLBVkxBWbN9gRfY/lePhzucWM/OJYoJ3g08v8d9Tkcmo6ROT7TxLJgM8wqALSXdADxIJNnWBPax/f0yO8mUAcYMj3Hge0ylSDqB0Ak7BzjA9u/6fcwB6zoWGc9A2pHHjBkzpg1vBl5i+zEASccD1wIjGfgmKoieQMxL8hqV9xLJzMJM48nlycC5wMHUy7rMH2XTvdQNdnimTWp7fp8PeZmkTwHLpKDBHsBZfT5m10h6PhHs3o7QI/8hMMN2P4w/gXqd/EnEZwd4rKp0hScrLyck/SZFwmiyYvsvTIOkbS8kKbTrUgBxB+BTkg7LOohK7KeIUeRIkaRNLk7Bf8UmLWH7kdzL/gZUcv+3fZOkxVJ393FJYvSTVex7GjEZJXV6YpLOJ/K83vbHUmznL8DbgZ8R14fCpLnckcDTbb9I0pqEnNWUTnyMEuPA95iq2YGotJlNVBhm2/uW1UvtVzfYPiI9niXplbZ/VfWxijLAduQxY8aMacVy1BY8I92OmlogL5P0vbIL1kYkfRk4iB6rMyYbtu8B7gG2S/JfTyfmeU+Q9IRBSED0wgAC3hmfAHYBricqm88BjhnQsbvhRuBy4C22bwKQtE8/D5iCuNsDq9g+UNKKwDNsX9XP4/aC7cskrQys5jBHfRzlu0WKUpWu8GTld4Snzx2dXjhmTJ85kpDaWYuobj6WkNB6dcn9dDSKHEF+BrxK0pOIuc7VhAll3iflJuBiSWdTrytcp71fgAeSf9Z1aY51B1M8YNsnJqOkznRnifT/ZsBc2/fk4ltl+A7xt/42gO3fSjqZWK+MGQDjwPeYShmSS/CR1Ou/3tdk20AZYDvymDFjxjTjYOBaSZcQiceNmBzmjktJOpqadiwAtjcpsY9KqjMmK0k6ZA7hL5H5XSwkEgDTntQF8R0atFBHmLcTLeaXSDqP0Pvtd3Xxt4hzZxPgQGJedQQhnzSSDNi0tCpd4cnK8sDvk6xMPpjWD1mZMWPasSAZPG4BHJGMvXfpYj9FjSJHiRmp22QX4EjbX5b+v737jpOsqtY+/utBUIJDUMCAgwR9uIggCKJcDKiYkaCgJAUFAwZABfTFgKj3fRVQBJVgBBQUFVBQQVCS4UpQcAR9VAbDVRRF0gWRYL9/7F10dVPTYaarTlX18/18+lN9Tp06e01Phzrr7L2WrppwzA31Y2knnu1JSXS/GTgQeAzwsqU855whab7t24CHABfVfatRfn+mF0J/O1vSryiTad5Ye8ktSd+gFWxfNiFpfu9sBBjTk8R3DIOR9uWWtv9da3b2VBPLkSMiJqqzNX9AqXnZSlQdYvsvzUU1bV+lJKs+w1gtxJlq/f5f2tkZg+oASqO9m5oOpB/VpfGHAWtTvldaK9LWbTKuxbF9FnBWTcRsT/n/XUPSccCZtr/bhWG3tL1ZXcqO7ZvrbL9+1rOmpbNVV3iAHTbVAVnWHT1yu6R3UVYcP0PSPMZmaM7ElI0i+9BI7Y+yO2UVE0xY5WJ7qUtA1RVk/2V7d0rC7/1Le8456FTgJZTeEKOMv3k9CvTl+48A2++sqxxurY2072TJSlD9va4Oa91cezlZNdVTSXzHMFgk6a2UN9hQ6nUuaiCOni9HjoiYqM5a+rbtJwLfbDqeGbrX9nFTHzapc2Zpdsag+iOl5MlAkbQRsCFlRhQAtk/uwlCfpcxYu5Ilv7nSc7bvoFw8n1qXtu8MHAJ0I/F9T012tC7QVmds9UC/6nrTUkkb2P6VpNaKwtZF6wJJC2z/dDbH61e1NNVUsqx7KUlamXKT4el118XA4bWsVRSvoDT8fK3tv0haABwx05NMs1FkvzmAUmP7TNvXSFoXuLD9gLpK6JW2b6nbqwJftP3i6Q5Sk31rS1rO9t2zGP+cYfsl9XGdpmOJ6ZF0sO2P1M3n2P4qlPdikg5l5j2T3gScCGwg6U+UigC7T/6SmE1JfMcweANwDPBuykXO9yjLXXutieXIERGd/FTSFrYvbzqQGTpb0n6UHgntS+in3Zypw+yMO5hbDcIWARdJ+hbjv4YfbS6kydXGYs+iJL6/DbyQsmqhG4nvW21/pwvn7RnbN1MuoE7s0hDHUH4G15D0IUqD2Xd3aazZ0oumpW+jvL88qsNzo5TSMENL0u10vpnQqY9PlnUvvc9R6qnvUrf3pDRe3KmxiPpMXcnW/rdtbWBLluBvR01093uy+36t3iht24uAt0447BGtpHc95mZJj1qC4RYBP5T0TUovr9b5+vZ9Rb+S9GjGVpwBYPuS5iKKxXgl0Ep8v4uyIrXlBcww8V1/Pp9bV+/N62Ffm6iS+I6BZ/tGyi+npuNoYjlyREQnWwJ7SPod5SKllZjo9zrPr66P7c1+lmQZ6AbAYyeUvepGErUf/aF+LFc/BsHLgU2An9neW9KadK8m+4WSjqD03mi/MTAnZutOh+0vSbqSUh97BNjB9i8bDmsqXW9aavt19XFOlrCzPZNmf1nWvfTWs91eR/n9HWo4z3m1r9JulFUw1wNfX4Jz7AR8GFiD8juv082cviDpaNsHSDqbDjeiJtTav0/SWrb/p752wRIOe139mAe0fg/M6oqauUDShymrFK5lbMXZKKUPTfSXkcV83ml72urqvWhAEt8x8CQ9hHKx8wTGL5F+TRPx9Hg5ckREJ89vOoAlMRvLQCWdQmludxXjLyzmROLb9iDW3/xn7c9xr6T5wI2U5lndsGV93Lxt39DP1p2OVgOu2nTrRuC0tudWm8nKi17rZdPSWgbmxTywCW9mP47Jsu6l909JW9v+Adzfn+CfDcfUF7rQV+kjwHYDcIMP4JT6eOQ0jn0vZab29ynJumcBb1yCMa9tlXpokbTzEpxnrtuB0oPlX1MeGU0bXcznnbZjACTxHcPgFEp97ecDh1PeWPfFG5ceLEeOiLhfvRH4BmB9yszHz9ru++XldbbVYtk+Ywan2xzYsL3p8VywuNlfLRNmgfWbKyStQklaXgn8L/Djbgw0V2frTlOnBlztj33XgEvS9sBatj9Zt38CrF6fPmRismaWnE3pG7CQ/q993pRR2+OWdUtKfduZeQNwcq31PQL8A9ir0Yj6x2z3VfrrgCS9sX1lfby49l/A9t8Wc+y3JD0FeFrddXBdKT1TE0s9LG5fTG4RpflqEt/9bxNJt1F+9y5fP6duP2TxL4t+lcR3DIP1be8saXvbJ9XmOZc2HVRERANOAu6h/A58IaVm8v6NRjQ9203y3CilLMV0/QJ4BHNvWf10Zn/1DUmPqPVZsb1f3X187ZEx3/bPuzTuysD7gGfUXWkYVw1oA66DGV/u7sHAFsCKlHrI3UjMrDUAZaOa9nVgswnLur8GPLmheAaO7aspyZf5dfu2KV4yl8x2X6UrJH0FOIvxJbBm8t6jZyQdBryZUnpkRNK9wLG2D+9w+DaUsjkfkvQYSU9uJc+nMc4LgRcBj5Z0TNtT80nN/iVxJ3CVpO8x/vtsYm32aJjtZWb7nD1s4h4dJPEdw+Ce+nhL/YXyF0qNtoiIuWZD208EkPRZ4LKG45kW23vP4ukeDlwr6TLGX1j084znpVYbXQ2S59eZaG+l1PceR9JmXaq7nYZx0zBADbiWs/3Htu0f2L4JuKnONu6G70h6Xnq3PJCkDSilB1eesJJnPpklNyOSHgy8jFpSp9UodDHJzTmlC32V5lOSks9r2zfTm+49IeltwH8CW9i+vu5bFzhO0oG2P9Z27CcoM4yfAXyI0vPleMrNwen4M2UF0EvrY8vtwNLMsJ+rvlk/Yo7pcRP36CCJ7xgGJ9Za2u+h/DFZiVLTLCJirmndCMT2va0L5TnmsKYDiKnVFVp/Afag8/L9btXdTsO4KQxYA65V2zdsv7ltc3W647+BMyXNo/zO7dtGeA0QpVzOKoxfyXM7sG8jEQ0YSe+y/X+BbwC3UhKOKY3QwWz1VZrlm+/dtiewre2/t3bYXiRpD8q/+2Ntx25lezNJP6vH/UPStJte11UHV0v6GuUGDMBvbd+1tP+Iucj2SU3HEI3pZRP36CCJ7xh4tj9TP72YPqw/GRHRQ62adDC+Lt2cSczUupdrMjaj6bIlrGkZXWb7vJo8/K3tH/Zo2DSMm9ogNeD6iaR9bY9rainp9XRvxctHKTVzF861XgJTsf0N4BuSnma7K3X654Ct6uNatl/QaCQDZGn6KklaCziWMpMaSrm4/W3/z+xFOGuWbU96t9j+m6RlJ+y+p/6NHQWQ9DBm0JdA0oOA/wL2Bv5AeS/5GEmfBw61fc9kr49C0um2d5G0kA69WFI6a07oZRP36CCJ7xh4tSHWq6hLAVv7Uy8rIuaabtSkGzSSdgGOAC6iXKQdK+kg219rNLAG1Avelfq5Nmy9EPgEsGmPhnwjcFIaxk1qkBpwHUgpebAb0CqN82RKre8dujTmH4FfJOk9qZ9JehOl7El7PdPXNBfSwGjdoP6RpCfaXthoNHPD5ykzx3eu23vUfds2FtHi3T3Vc5IeVBubnqLB7gAAHSpJREFUf5JSb391Se+nlPh6/wzGOgJ4KLCu7dvruedTeoocyWD0kOkHra/TSxqNIprUsybu0VkS3zEMvk1ZdrqQGdzFjoiI/iJpZ+Bc27dLejewGfDBGdZ6PpRS+/LGes7VgQsojdWGXm3w/AZKiYrLgfmSPm77iGYjm9T3JL0MOKPbyUTbV5GGcVMZmAZc9ed8K0nPpiRZAb5l+/tdHHYRcJGk7zD+6/PRLo45aE4BfgU8Hzgc2B34ZaMRDY596uPWwF6Srqd8n7VWbmV26Oxb3fbn27a/IOmAxqKZXPvKvnYjjN1kuozSXPZkSVcCz63P72z7FzMY6yXA49v/Ltu+TdIbKT/fSXxPg+0b6uPv4f6bB8nDDbmmmrhHZ/mBi2HwENtvazqIiIhYau+x/VVJW1Mu1I4AjgO2nME55k0obXITMG8WY+x3G9YL092B7wDvpMwu6efE9+uBtwH3SfonXSjNI2kP21+sjcHa9wNJWk4wcA24aqK7m8nudtfXj+XqRzzQ+rZ3lrR9red/KqV8REzB9m/qpy9sNJC55aZaI/u0ur0r5b1D35nmyr6RtuOvAa5ZwuFGO92Mtn2fpKx4maFaguv9wF2MlTwZJaVah1VTTdyjgyS+YxicImlf4BzGz7z5R3MhRUTEEmg10nsxcKLtb0n64AzPca6k8xi7gH0FJQE8Vyxb63zuAHzC9j39foFq+6E9GGbF+tiLsQZaTVQuDyyw7abj6Te2Z1IqYK5q1f69RdJGwF+ANRqMZ+DY/n29Cfw425+vq5dWajquIfUaSo3vj1ESkT+i1LUeVKtPvMnbbgY3eq+V9CrbJ7fvrDcJfrU0Ac5R7wA26lSjPYZPg03co4MkvmMY3E2ZyXYouXsaETHI/iTpBEpdzQ9LejAznK1t+yBJO1GWiUNJoJ85y3H2sxOA3wFXA5dIWhvo63IekkYopRDWsf0BSY8BHml71poT2j6hPiZpOQVJ21Hqty4HrCPpScDhtl/abGT9oSYgD+aB9atzATvmREmrAu+mrB5YCXhPsyENFknvAzYHRKk3vSzwRcYaMMYsqSUohun32zKUn7mRqQ6cwpuAMyS9hrJyDMr35PLAjkt57rnoOkopsZgjGmriHh0k8R3D4O2UJZW5exoRMdh2AV4AHGn7FkmPBA6azgslrQ+safuHts8Azqj7t5a0nu3ruhZ1H7F9DHBM267fS9qmqXim6VOUHh3PBj5AafrzSWCL2R5I0knA/rZvqdurAkel6d44hwFPoTSIxfZVkjKZYMyXgK9Q6t++AXg18LdGI+oj9SL/Nts3A5eQiShLakdK09+fAtj+s6SsWJlFkg62/RFJxzI2eep+/djXYJpusH340p7E9p+ALSf0UPi27e8t7bnnqHdRmtb+hD7vnxGzp4Em7tFBEt8xDH5L7p5GRAw823dSZhetIWlB3T3d5bRHUy4qJrq1PrfdLIQ4ECS9mAmzUSkN5vrVlrY3k/QzANs3S+pW7eSNW0nvtrFyMTLePbZvbdU/r9I8fMzDbH9W0v62LwYulnR500H1i3qRfzBwetOxDLi7bY+2SlVJWnGqF8SMtRquXtFoFLNvaWd6j9PjHgrD7ATK13Eh+Zs61/SsiXt0lsR3DIM7gKskXUjunkZEDCxJLwWOAh4F3AgsoCS+nzDZ66o1bS+cuNP2QkmPnc04+5mk44EVgG2AzwAvB2atZEiX3CNpGeqMu1pKolsXhfMkrVpnoyJpNfJ+eKJrJO0GLCPpcZTGTD9qOKZ+0qpffUO9yfRnYLUG4+lHF0h6B2Vm/B2tnem/MyOn19Jfq9ReRq8BPt1wTEPF9tn18aTWvrpiYSXbfV0ibArPaTqA6GhZ24utvR5DretN3GNyeaMfw+Cs+hEREYPtA8BTgQtsb1pLdOwxzdeuMslzyy91ZINjK9sbS/q57fdLOor+b+55DHAmsIakD1GS9e/u0lhHAT+W9FXKhcfLgQ91aaxB9RZK35R/UZrEnkf52Yzig5JWppTaOxaYDxzYbEh95xX18U1t+9J/ZwZsHylpW0qPBgHvtX1+w2ENJUmnUsoW3QdcDsyX9HHbRzQb2ZLJDaa+9R1JrwPOZvxkvfx/DbkeNXGPSYyMjmamfURERDRP0hW2N5d0NbBpXTJ/te1NpvHa04Dv2/70hP37ANvafkXnVw4XST+xvaWk/wZ2Am4CrrG9fsOhTUrSBpRZaiPA92z/coqXLM1YT6DMiIfyPXNtt8aKiFgStbTJXbbvU6k7JOA7tu+Z4qUxQ5Kusv0kSbsDmwHvBK60vXHDocUQkXR9h92jtnNDcMj1ool7TC4zvmNgSVpIh0YkLXmzEhExcG6RtBKlIdqXJN1I2zL5KRwAnFkvXK+s+zYHlqM0CZsrzpG0CnAEpSnaKKXkSd+RNN/2bbXcyI2U2cWt51br1iwo29dI+hu1BrqkBbb/0I2xBpGks3ng+6tbKXVwT7B9V++j6h+SHg8cRymvtJGkjYGX2v5gw6H1DUnLAm8EnlF3XUT53knSdvouAZ5eG/CeS/n5ewUleRKza9n6PbsD8Anb97Rqq0fMFtvrNB1DNKZnTdyjsyS+Y5C9pOkAIiJiVm0P/JNSNmB3YGWm2ZTR9l+BrWp5lI3q7m/VpkxzyUds/wv4uqRzKMndfk1Unkr5W34lJdE6MuFx1mdBdagjvzalwdl06sjPFYuA1Rm7EfEK4Hbg8ZQaw3s2FFe/+DRwEKVRGbZ/XkslJPE95jhgWcrFPpTvmeOAfRqLaPCM2L5T0muB42x/RNJVTQc1pI4HfgdcDVwiaW1KiZmIpSZpp8met31Gr2KJxvSyiXt0kMR3DCzbv++0X9LWwK6MrysYERF9rDY3PMf2NpRZESdN8ZKObF8IXDibsQ2YH1OWalMT4P+S9NPWvn5i+yX1sZezoJamjvxcsZXt9llIZ0u63PYWkq5pLKr+sYLty0r1ifvd21QwfWqLCSWqvl9LWMX0jUh6GuUm8GvrvmUajGco1WaWf7X96LZ9f2CsHFbE0tquPq4BbAW0JmRsQ2kcncT38OtlE/foIInvGAqSNgV2A3YGrid/QCIiBkqtY/pvSSvbvrXpeAaNpEcAjwaWr38TR+pT84EVGgtsmiQ9mjL7+v73prYv6cJQ99i+SdI8SfNsXyjp6C6MM8hWai//ImkBsFJ97u7mwuobf5e0HmMXsC8Hbmg2pL5zn6T1bF8HIGldSuPAmL4DgHcBZ9byTOsyt2/qdkXtJXIwcHrbvlFyMytmie29ASR9F9jQ9g11+5HAFxoMLXqnl03co4MkvmNg1RqLu9aPvwNfoSwLzB36iIjB9L/AQknn01bb2/ZbmwtpYDwf2AtYC/ho2/7bgf/TREDTJenDlHIa1zKWHBul1LidbUtTR36ueDvwA0nXUW6grAPsV5vtLdFKjCHzJuBEYANJf6JMuMiqgfEOAi6UtIjyPbQ2sHezIQ0W2xcDF7dtLwLyt7A7LpD0Dsq1ZPt7j670mYg56zGtpHf1V2BBU8FE79j+kqQrGWvivkM3m7jHA42MjqZvQwwmSf8GLgVea/u3dd+idEaOiBhMkl7dab/tJNumSdLLbH+96ThmQpKBjWtplm6PtSKl5vkIY3Xkv2T7pm6PPUgkPRjYoG56rje07KR+L82zfXvTsfSj+j3UqgfjXvx8DwNJR9s+YDFNZrH90gbCGmqSru+wezTXlDGbJH0CeBxj/TNeCfzG9luaiyq6aUIT9wfIzbXeyYzvGGQ7Uf5gXCjpXODLjC3tjoiIAWP7pNrsZQPKBb9tp7TCzJwjaTfgsYwvGzKtJqENWURphNf1xJjt9tnduaGyeE9m7HtoE0nYPrnZkPpDTei+jPr1adX67vOfsZ6S9BBgP2Bryu/ySyUdnxso03JKfTyy0SjmkB73mYg5yvabJe0IPKPuOsH2mU3GFF3X8ybu0VlmfMfAqzNutqeUPHk2cDKlHt53Gw0sIiJmRNKLgBOA9hILr7f9nUYDGyD1RvCtlDfZ99fUtX1UY0FNQdLXgU2A79GW/J7NEjeSbmf87MlxFx+258/WWINO0inAesBVtJWeScmhYhB/xnpN0umUMktfrLt2A1axvXNzUQ2e2gAN239rOpZhJmkF4G3AAtuvk/Q4QLbPaTi0GGKSng680vabmo4lYthlxncMvDp761TgVEmrUhpcHgIk8R0RMVg+CmzTVr5qPeBbQBLf07eW7Rc0HcQMfbN+dI3th3bz/ENmc0oDrsyO6WwQf8Z6bSPbG7ZtXyjp2saiGTCSDgPeDMwDRiTdCxybVQVd83nKjayt6vafgK8CSXzHrKrNx3cFdqH0hzij2YiiV3rYxD06SOI7hortmykNh05sOpaIiJix21tJ72oRZdZgTN+PJD3R9sKmA5muWuJmecpsO3d7PElbA4+z/XlJDwceartTjde56hfAI4Abpjpwjhq4n7EG/FTSU23/N4CkLYErGo5pIEh6G/CfwBat30uS1gWOk3Sg7Y81GuBwWs/2KyTtCmD7TkkpnxmzQtLjKcnuXYG/U5qojtjeptHAomd63MQ9OkjiOyIiIvrFFZK+DZxOeUO4M3C5pJ0AbGdmzNS2Bvaqzbr+xVgpj42bDWvxJG1HqWe7HLCOpCcBh3ejiZuk91FmNIsyy285SjmG/5ztsQbYw4FrJV3G+NIzaapXDNzPWAOeTLlB8Ie6vQCwpIXkazWVPYFtbf+9tcP2Ikl7UFazJvE9++6uN19H4f7VZmnGGrPlV8ClwEvaVjQe2GxI0WM7UMon5fdKQ5L4joiIiH7xEOCvwDPr9t+A5YHtKBekSXxP7YVNB7AEDgOeAlwEYPuqOsOxG3YENgV+Wsf6s6SUQRnvsKYD6HOD+DPWaykFs+SWbU96t9j+m6RlmwhoDjgMOBd4jKQvUW6E7tVkQDFUdgJeSSn5dC7wZcoN05g7etbEPTpL4jsiIiL6gu29m45h0Nn+/YRSHqsDKzUd1xTusX2rpPZ9/+7SWHfbHpXUmtm3YpfGGVi2L246hn5m+/cAktag3KyLNpKWAc6zvUHTsQyou5fwuVhCtr8r6UrgqZSE5P6dbj5ELAnbZwFn1fcb2wMHAGtIOg4403b6kg2/O4GrJHWtiXtMLonviIiI6AuS1gHeAjyW8c1fUmJhmjqU8liW/i/lcY2k3YBlJD0OeCvwoy6NdbqkE4BVJO0LvAb4TJfGGiiSbqcu9Z+gVcpjfo9D6kuSXgocBTwKuJHSrOqXwBOajKtf2L5PkiUtsP2HqV8RE2wi6bYO+0fIjZaukHQ2cCrwTdt3NB1PDKf6vXUqcKqkVSnl/A6hlDCK4db1Ju4xuZHR0TRsj4iIiOZJuhr4LLCQthm/mYE6fZKuopbysL1p3ffzfq6pK2kF4FDgeZTkznnAB2zf1aXxtm0fy/b53RgnhlP9PfVs4ALbm0raBtjD9msbDq1vSLqE8nvoMuD+RGJuYkY/kvRMSuO5FwOXU0pRnNOtv0ERMff0sol7PFBmfEdERES/uMv2MU0HMeAGrpSH7Tspie9DezTe+cD5AJLmSdrd9pd6MXYMhXts31S/d+bZvlDS0U0H1Wfe03QAEdNVb65fXMv0PBvYF/gckFUuEbHUetnEPTpL4jsiIiL6xcdrqY7vMr4G3k+bC2ngdCrl8emGY5pUXWY+cQnircAVwAmzMetO0nzgTcCjKctNz6/b7wCuBpL4jum6RdJKwCXAlyTdSNus5iiJRElrAlvUXZfZvrHJmCImU2djbkeZ+b0ZcFKzEUXEEDmM3jVxjw6S+I6IiIh+8URgT8qMq1apk9G6HdNg+8hayuM2Sp3v9w5AKY9FwOrAaXX7FcDtwOMpSfs9Z2GMU4CbgR8D+wD/h1LqZAfbV83C+WPu2B64CzgQ2B1YGTi80Yj6jKRdgCMoF/kjwLGSDrL9tUYDi+hA0umUpNS5wCeAi213q8FyRMw9vWziHh0k8R0RERH9YmdgXdt3Nx3IoJH0SeBU2z9sL+UxILayvUXb9tmSLre9haRrZmmMdW0/EUDSZ4AbKLUWU8M1ZmRC87vMCu3sUGCL1ixvSasDFwBJfEc/+iywq+37mg4kIoZSL5u4RwdJfEdERES/+AWwCpAl8TP3a+BISY8ETgdOs/2zhmOarpUkLbD9BwBJC4CV6nOzdRPkntYntu+T9D9JesdMSLqdsgJlpO5qlecZAUZtpx7wmHkTSpvcBMxrKpiIydg+T9JWkh5LW37E9snNRRURQ+QtlBvC/6KsbjwP+ECjEc0xI6OjE0sqRkRERPSepIuAjYHLGV/jO81fpknS2sAr68fylDfYp9n+daOBTULSi4DjgesoScR1gP0oZRL2tb3UjQMl3cdYHeYRytfmTpK0jJh1ko6g/C5vL1+00PbBzUUV0ZmkU4D1gKuA1qzvUdtvbS6qiIiYLUl8R0RERF+Q9MxO+21f3OtYhoGkTYHPARvbXqbpeCYj6cHABnXTmY0d/UbSQ4A3AOsDPwc+Z/veZqPqX5J2Araum5faPrPJeCIWR9IvgQ1tJzESEbOuF03cY3IpdRIRERF9wfbFktYEWvWeL5uwXD6mIOlBwAspM76fQ5k1fViDIU3Xk4HHUt6bbiIpy8yj35xEKZlzKfAi4AnA/o1G1GckrQ+sWXsNnAGcUfdvLWk929c1G2FER78AHkHp/RARMdt60cQ9JpHEd0RERPQFSbsAR1CStSPAsZIOsp2GaFOQtC2wKyUhdxnwZeB1Exrx9aXFLTMHkviOfrJhW4PUz1J+zmK8o4F3ddh/a31uu96GEzEtDweulXQZKbMWEbOvF03cYxJJfEdERES/OBTYojXLW9LqwAVAEt9TexdwKvB22zc3HcwMbU6WmUf/a2+Qeq+kJmPpV2vaXjhxp+2FtXFgRD86rOkAImKo9aKJe0wiie+IiIjoF/MmlDa5CZjXVDCDxPazm45hKWSZeQyCTSTdVj8fAZav22mQOmaVSZ5bvmdRRMxA+ohERJe9HfiBpHFN3CWtSCmjFl2WxHdERET0i3Mlncf4GnjfaTCe6I0sM4++1+8NYvvEFZL2tf3p9p2S9gGubCimiI4k3c4DG85BbmZFxCyy/W1Jj6NzE/ejGwprThkZHc2q0oiIiOgPknYCtq6bl9o+s8l4ovskPbPT/szCixgstTnxmZSl261E9+bAcsCOtv/SVGwRERFNkbQVY03cAdLEvYeS+I6IiIhGSVqfUhv2hxP2bw3cYPu6ZiKLiIiZkrQNsFHdvMb295uMJyIioimLa+Ju+63NRTW3pNRJRERENO1oSnPGiW6tz23X23CiF7LMPGI42b4QuLDpOCIiIvpAmrg3LInviIiIaNqathdO3Gl7oaTHNhBP9IDthzYdQ0REREREF6WJe8OS+I6IiIimrTLJc8v3LIqIiIiIiIjZkybuDUviOyIiIpp2haR9bX+6faekfRhrkBYRERERETFIDms6gLkuzS0jIiKiUZLWBM4E7mYs0b05sBywo+2/NBVbREREREREDKYkviMiIqIvSNoG2KhuXmP7+03GExERERERMVNp4t4/kviOiIiIiIiIiIiIiKEyr+kAIiIiIiIiIiIiIiJmUxLfERERERERERERETFUkviOiIiIiIiIiIiIiKGSxHdERERERJ+TtJekUUnPajqWiIiIiIhBkMR3RERERMxZkp5VE8qjkvZdzDGjks7pdWwREREREbHkkviOiIiIiCgOk7R800FERERERMTSS+I7IiIiIgKuAB4FHNB0IN0i6aFNx9AiaRlJKzQdR0REREQMrwc1HUBERERERB84HRgBDpF0ou2bpnqBpB2Ag4AnAaPA1cBHbH9jwnG/A34H7A8cBTwVuBM4BTiE8p78g8CuwMOAy4DX2/5lh2EfJOkwYG/gEYCB/7L95cWMeSDw/+qY/wDWqc8/GHg7sDuwHnAXcCnwXts/m8a//VH19c8B1gaWBxYBJwFH2r6v7di9gM8D2wJPA/YCFgD7Al+ox2wOHAo8HXhojf1k4MO2720711OA/YCtgLWA+4Cf1zHPnCruiIiIiJg7MuM7IiIiIqIkrt8JrExJwE5K0n7AmcBqwOHAB+rnZ0l6XYeXrAWcD/wSeAfwA+BtwIeArwGbUhLUHwaeXM/T6b36h4FXAp8C3gssB5xWk8sTLQC+D/yekqA/tsa+LHAu8D7gx4wlxzcEfliT0FPZGNipnv/dlK/dH+p5PrWY1xxZY/805SaAazwvBn4IPJ5yY+CtNa7DgdMmnGNHYAPKjYr9KV+/1YAzJO02jbgjIiIiYo7IjO+IiIiICMD2BZLOB/aT9HHbv+90nKRVgY8A1wFb2r6t7j8O+BlwlKTTbd/S9rL1gF1sf7VuHy/pSkpC+mzgubZH63luAj5OmSF93oThHw5sbPvWeuzxlBnPH5X0Fdv/bDt2HWBf25+ZcI43A88CXmD7/vNL+hTwC0qC+lmTfKkALgbWbcVcHS3pFGAfSYfZvmHCa5YHNrV9Z9uYDwE+C/wEeHbb7O4TJF1d/13Psn1R3f9B2+9qP6mkYyhf93cDp04Rd0RERETMEZnxHREREREx5hDKLOoPTHLMtsCKwDGtpDdA/fwYYCXguRNe86e2pHfLDyjlVY6dkEC+tD4+rsPYx7WS3nXMW4HjgVV5YLL6H5QSIxPtAfwKuFLSw1sflH/3+cDWUzX5tP3PtkT9cpJWq+c4j3KN0WnW+HHtSe9qW2DNGucqE+L5dj3meW3j3tH6XNIKkh4GrECZef4fkuZPFndEREREzB2Z8R0RERERUdn+maTTgN0lHWn75x0OW6c+XtPhuda+dSfsv77DsTcv5rnW/od1eE2nut/XLmbM69prbbf5D8rs6791eK7l4cAfF/ekpAdRypu8ClifksBvt2qHl/16MbEAfG6SWNZsG3cNSj307YE1Ohy7CnBbh/0RERERMcck8R0RERERMd67gZdT6mm/cJbO2SkBPdVzE5PJMzVxdnX7eRdSaowvzmRJcYCPAm8BvkKps30jcA+wGeXr1mllaad4Wv/Gg4CrFjPWnwEkjQDfpSTLPw5cAdxK+frtDey2mHEjIiIiYg5K4jsiIiIioo3t62u97v0lPavDIYvq4xOA7014bsMJx8y2/wC+sZRj/gZYHfi+7X8vYRx7ApfYfmX7Tknrz/A8v6mPd9i+YIpjNwY2AQ63/b4J4+4zw3EjIiIiYshlRkRERERExAN9kFIy4yMdnjsfuAN4i6SHtnbWz98C/G89phveKGnltjFXBt4A3EJpODkdJwOPYDEzviWt2Wn/BPcxYUa6pBWBA6cZQ8t5lNni75S0WodYlm/7Grdmxk8cdyNgxxmOGxERERFDLjO+IyIiIiImsP13SUfQocml7VskHQx8EviJpC/Up/ai1Lt+fXsDyln29zpmq2nl3sACYJ8OjSMX5+OUppJHSHo2pTHkbfU8zwHuAraZ4hxfA14v6SvABZQ63K8BbprBvwXbd0h6FXAWYEmfA35LqdW9AbATJal9EaW++TXAwZJWAAw8Hng9pXTLk2cydkREREQMtyS+IyIiIiI6+yiwH/DIiU/Y/pSkGyi1qVtlN64GdrR9VhdjOgR4OvAmSrL518Dutk+d7gls3yPpxZR/257A++tTfwYuA06axmneBtwO7EJpNPlH4ETgckoifNpsnydpC0qzzD0oZVhuBq6j/B/8vB53X437SODVwIrAL+rnm5DEd0RERES0GRkdHW06hoiIiIiIiIiIiIiIWZMa3xERERERERERERExVJL4joiIiIiIiIiIiIihksR3RERERERERERERAyVJL4jIiIiIiIiIiIiYqgk8R0RERERERERERERQyWJ74iIiIiIiIiIiIgYKkl8R0RERERERERERMRQSeI7IiIiIiIiIiIiIoZKEt8RERERERERERERMVSS+I6IiIiIiIiIiIiIofL/AfC3dCqlOubuAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1800x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = prueba5.plot.bar(figsize=(25,10))\n",
    "g.set_title(\"Postulaciones para la edad de 26\", fontsize=22)\n",
    "g.set_xlabel(\"Nombre area\",fontsize=18)\n",
    "g.set_ylabel(\"Cantidad de avisos vistos o postulados\", fontsize=18)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "La idea ahora sería, yo me postule al aviso 1112257047 y me interesaría tener recomendaciones de otros avisos similares a los que otras personas que se hayan postulado a este. Entonces se traeran todos los avisos de los que se postularon al 1112257047 siendo todos del mismo area."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "aviso_post_yo_y_otros = postulaciones.loc[postulaciones['idaviso'] == 1112257047] #supongo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "lista_otros_postulantes = aviso_post_yo_y_otros['idpostulante'].tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "lista_otros_postulantes.remove('NM5M') #supongo ese mi idpostulante"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_a_l = (postulaciones.loc[postulaciones['idpostulante'].isin(lista_otros_postulantes)])['idaviso'].tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_a_l.remove(1112257047)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_o_l = (avisos_vistos.loc[avisos_vistos['idpostulante'].isin(lista_otros_postulantes)])['idaviso']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_lista = pd.DataFrame({'idaviso':df_o_l})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_lista2 = pd.DataFrame({'idaviso':df_a_l})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_final = pd.merge(df_lista2, df_lista, on='idaviso', how='outer')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_final.drop_duplicates(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "lista_avisos_recomendar = df_final['idaviso'].tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [],
   "source": [
    "nomb_area_deseado = ((avisos_det.loc[avisos_det['idaviso'] == 1112257047])['nombre_area'].tolist())[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Atención al Cliente\n"
     ]
    }
   ],
   "source": [
    "print(nomb_area_deseado)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "avisos_a_recom =  (avisos_det.loc[avisos_det['idaviso'].isin(lista_avisos_recomendar)]).loc[avisos_det['nombre_area']==nomb_area_deseado] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "avisos_online = pd.read_csv('/home/alejandro/Desktop/datos_navent_fiuba/fiuba_5_avisos_online.csv',low_memory=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "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>idaviso</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1112355872</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1112335374</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1112374842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1111984070</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1111822480</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      idaviso\n",
       "0  1112355872\n",
       "1  1112335374\n",
       "2  1112374842\n",
       "3  1111984070\n",
       "4  1111822480"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "avisos_online.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [],
   "source": [
    "avisos_a_recom = pd.merge(avisos_a_recom, avisos_online, on='idaviso', how='inner') # los avisos a recomendar unicamente serían los avisos online."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "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>idaviso</th>\n",
       "      <th>idpais</th>\n",
       "      <th>titulo</th>\n",
       "      <th>descripcion</th>\n",
       "      <th>nombre_zona</th>\n",
       "      <th>ciudad</th>\n",
       "      <th>mapacalle</th>\n",
       "      <th>tipo_de_trabajo</th>\n",
       "      <th>nivel_laboral</th>\n",
       "      <th>nombre_area</th>\n",
       "      <th>denominacion_empresa</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1111961482</td>\n",
       "      <td>1</td>\n",
       "      <td>Analista de Clientes Corporativos</td>\n",
       "      <td>&lt;p&gt; &lt;/p&gt;&lt;p&gt; &lt;/p&gt;&lt;p&gt; &lt;/p&gt;&lt;p&gt; &lt;/p&gt;&lt;p style=\"\"&gt;&lt;s...</td>\n",
       "      <td>Gran Buenos Aires</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Full-time</td>\n",
       "      <td>Junior</td>\n",
       "      <td>Atención al Cliente</td>\n",
       "      <td>ADT Security Services</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1112215212</td>\n",
       "      <td>1</td>\n",
       "      <td>ASESORES DE ATENCIÓN AL CLIENTE (ZONA LUJAN y ...</td>\n",
       "      <td>&lt;p&gt;Importante cadena de retail del mercado de ...</td>\n",
       "      <td>Gran Buenos Aires</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Full-time</td>\n",
       "      <td>Senior / Semi-Senior</td>\n",
       "      <td>Atención al Cliente</td>\n",
       "      <td>Natural Life</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1112282241</td>\n",
       "      <td>1</td>\n",
       "      <td>Representante de Atención al Cliente con Ingle...</td>\n",
       "      <td>&lt;p&gt;¡En Universal Assistance queremos conocerte...</td>\n",
       "      <td>Gran Buenos Aires</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Full-time</td>\n",
       "      <td>Senior / Semi-Senior</td>\n",
       "      <td>Atención al Cliente</td>\n",
       "      <td>Universal Assistance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1112342544</td>\n",
       "      <td>1</td>\n",
       "      <td>Atención al cliente</td>\n",
       "      <td>&lt;p&gt;Importante hipermercado se encuentra en la ...</td>\n",
       "      <td>Gran Buenos Aires</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Full-time</td>\n",
       "      <td>Senior / Semi-Senior</td>\n",
       "      <td>Atención al Cliente</td>\n",
       "      <td>Grupo Gestión</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1112343237</td>\n",
       "      <td>1</td>\n",
       "      <td>Repositores EVENTUALES sexo masculino Z/ V.  L...</td>\n",
       "      <td>&lt;p&gt;Importante Cadena de Retails se encuentra e...</td>\n",
       "      <td>Gran Buenos Aires</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Full-time</td>\n",
       "      <td>Junior</td>\n",
       "      <td>Atención al Cliente</td>\n",
       "      <td>Suministra</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      idaviso  idpais                                             titulo  \\\n",
       "0  1111961482       1                  Analista de Clientes Corporativos   \n",
       "1  1112215212       1  ASESORES DE ATENCIÓN AL CLIENTE (ZONA LUJAN y ...   \n",
       "2  1112282241       1  Representante de Atención al Cliente con Ingle...   \n",
       "3  1112342544       1                               Atención al cliente    \n",
       "4  1112343237       1  Repositores EVENTUALES sexo masculino Z/ V.  L...   \n",
       "\n",
       "                                         descripcion        nombre_zona  \\\n",
       "0  <p> </p><p> </p><p> </p><p> </p><p style=\"\"><s...  Gran Buenos Aires   \n",
       "1  <p>Importante cadena de retail del mercado de ...  Gran Buenos Aires   \n",
       "2  <p>¡En Universal Assistance queremos conocerte...  Gran Buenos Aires   \n",
       "3  <p>Importante hipermercado se encuentra en la ...  Gran Buenos Aires   \n",
       "4  <p>Importante Cadena de Retails se encuentra e...  Gran Buenos Aires   \n",
       "\n",
       "  ciudad mapacalle tipo_de_trabajo         nivel_laboral          nombre_area  \\\n",
       "0    NaN       NaN       Full-time                Junior  Atención al Cliente   \n",
       "1    NaN       NaN       Full-time  Senior / Semi-Senior  Atención al Cliente   \n",
       "2    NaN       NaN       Full-time  Senior / Semi-Senior  Atención al Cliente   \n",
       "3    NaN       NaN       Full-time  Senior / Semi-Senior  Atención al Cliente   \n",
       "4    NaN       NaN       Full-time                Junior  Atención al Cliente   \n",
       "\n",
       "    denominacion_empresa  \n",
       "0  ADT Security Services  \n",
       "1           Natural Life  \n",
       "2   Universal Assistance  \n",
       "3          Grupo Gestión  \n",
       "4             Suministra  "
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "avisos_a_recom.head(5)                #avisos online a recomendar segun una postulacion de un usuario.."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [],
   "source": [
    "post_validas2 = post_validas.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [],
   "source": [
    "post_validas2 = post_validas[post_validas['age'] >= 18]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [],
   "source": [
    "post_validas2 = post_validas2[post_validas2.age <= 65]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "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>idaviso</th>\n",
       "      <th>idpostulante</th>\n",
       "      <th>fechapostulacion</th>\n",
       "      <th>age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1112257047</td>\n",
       "      <td>NM5M</td>\n",
       "      <td>2018-01-15 16:22:34</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1111920714</td>\n",
       "      <td>NM5M</td>\n",
       "      <td>2018-02-06 09:04:50</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1112346945</td>\n",
       "      <td>NM5M</td>\n",
       "      <td>2018-02-22 09:04:47</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1112345547</td>\n",
       "      <td>NM5M</td>\n",
       "      <td>2018-02-22 09:04:59</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      idaviso idpostulante     fechapostulacion  age\n",
       "0  1112257047         NM5M  2018-01-15 16:22:34   47\n",
       "1  1111920714         NM5M  2018-02-06 09:04:50   47\n",
       "2  1112346945         NM5M  2018-02-22 09:04:47   47\n",
       "3  1112345547         NM5M  2018-02-22 09:04:59   47"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "post_validas2.head(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_g = post_validas2.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [],
   "source": [
    "result_group= df_g.groupby(['idaviso','age']).size().reset_index(name='counts') #probado funciona bien"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "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>idaviso</th>\n",
       "      <th>age</th>\n",
       "      <th>counts</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>8725750</td>\n",
       "      <td>19</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>8725750</td>\n",
       "      <td>20</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8725750</td>\n",
       "      <td>21</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>8725750</td>\n",
       "      <td>22</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   idaviso  age  counts\n",
       "0  8725750   19       4\n",
       "1  8725750   20       4\n",
       "2  8725750   21       2\n",
       "3  8725750   22      10"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result_group.head(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [],
   "source": [
    "avisos_det = pd.read_csv('/home/alejandro/Desktop/datos_navent_fiuba/fiuba_6_avisos_detalle.csv',low_memory=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_result = result_group.merge(avisos_det[['idaviso','nombre_area']])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [],
   "source": [
    "del df_result['idaviso']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "hasta aca lo que tengo en fg_result es segun la edad la cantidad de postulaciones a avisos de un tipo de area"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [],
   "source": [
    "aux = df_result.groupby(['nombre_area','age']).sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "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></th>\n",
       "      <th>counts</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nombre_area</th>\n",
       "      <th>age</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">Abastecimiento</th>\n",
       "      <th>18</th>\n",
       "      <td>172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>544</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>646</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    counts\n",
       "nombre_area    age        \n",
       "Abastecimiento 18      172\n",
       "               19      367\n",
       "               20      544\n",
       "               21      646"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "aux.head(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [],
   "source": [
    "datos_heat_map = aux.unstack(fill_value=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "163"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(datos_heat_map.shape)[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "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 tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr:last-of-type th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"21\" halign=\"left\">counts</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>age</th>\n",
       "      <th>18</th>\n",
       "      <th>19</th>\n",
       "      <th>20</th>\n",
       "      <th>21</th>\n",
       "      <th>22</th>\n",
       "      <th>23</th>\n",
       "      <th>24</th>\n",
       "      <th>25</th>\n",
       "      <th>26</th>\n",
       "      <th>27</th>\n",
       "      <th>...</th>\n",
       "      <th>56</th>\n",
       "      <th>57</th>\n",
       "      <th>58</th>\n",
       "      <th>59</th>\n",
       "      <th>60</th>\n",
       "      <th>61</th>\n",
       "      <th>62</th>\n",
       "      <th>63</th>\n",
       "      <th>64</th>\n",
       "      <th>65</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nombre_area</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Abastecimiento</th>\n",
       "      <td>172</td>\n",
       "      <td>367</td>\n",
       "      <td>544</td>\n",
       "      <td>646</td>\n",
       "      <td>724</td>\n",
       "      <td>706</td>\n",
       "      <td>738</td>\n",
       "      <td>656</td>\n",
       "      <td>789</td>\n",
       "      <td>682</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>9</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Administracion de Seguros</th>\n",
       "      <td>32</td>\n",
       "      <td>66</td>\n",
       "      <td>126</td>\n",
       "      <td>178</td>\n",
       "      <td>207</td>\n",
       "      <td>281</td>\n",
       "      <td>279</td>\n",
       "      <td>310</td>\n",
       "      <td>321</td>\n",
       "      <td>294</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Administración</th>\n",
       "      <td>1822</td>\n",
       "      <td>5295</td>\n",
       "      <td>8606</td>\n",
       "      <td>12916</td>\n",
       "      <td>15870</td>\n",
       "      <td>18845</td>\n",
       "      <td>20935</td>\n",
       "      <td>21021</td>\n",
       "      <td>20881</td>\n",
       "      <td>20276</td>\n",
       "      <td>...</td>\n",
       "      <td>623</td>\n",
       "      <td>307</td>\n",
       "      <td>424</td>\n",
       "      <td>151</td>\n",
       "      <td>177</td>\n",
       "      <td>94</td>\n",
       "      <td>80</td>\n",
       "      <td>34</td>\n",
       "      <td>35</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Administración de Base de Datos</th>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>19</td>\n",
       "      <td>18</td>\n",
       "      <td>19</td>\n",
       "      <td>21</td>\n",
       "      <td>28</td>\n",
       "      <td>38</td>\n",
       "      <td>41</td>\n",
       "      <td>41</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Administración de Personal</th>\n",
       "      <td>281</td>\n",
       "      <td>642</td>\n",
       "      <td>1020</td>\n",
       "      <td>1663</td>\n",
       "      <td>2031</td>\n",
       "      <td>2400</td>\n",
       "      <td>2696</td>\n",
       "      <td>2476</td>\n",
       "      <td>2489</td>\n",
       "      <td>2642</td>\n",
       "      <td>...</td>\n",
       "      <td>51</td>\n",
       "      <td>52</td>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "      <td>9</td>\n",
       "      <td>12</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>11</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Almacén / Depósito / Expedición</th>\n",
       "      <td>494</td>\n",
       "      <td>1191</td>\n",
       "      <td>1787</td>\n",
       "      <td>2414</td>\n",
       "      <td>2890</td>\n",
       "      <td>2999</td>\n",
       "      <td>3125</td>\n",
       "      <td>3126</td>\n",
       "      <td>3327</td>\n",
       "      <td>3373</td>\n",
       "      <td>...</td>\n",
       "      <td>57</td>\n",
       "      <td>48</td>\n",
       "      <td>26</td>\n",
       "      <td>27</td>\n",
       "      <td>10</td>\n",
       "      <td>22</td>\n",
       "      <td>10</td>\n",
       "      <td>6</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Análisis Funcional</th>\n",
       "      <td>14</td>\n",
       "      <td>65</td>\n",
       "      <td>79</td>\n",
       "      <td>132</td>\n",
       "      <td>196</td>\n",
       "      <td>242</td>\n",
       "      <td>342</td>\n",
       "      <td>292</td>\n",
       "      <td>311</td>\n",
       "      <td>438</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>26</td>\n",
       "      <td>13</td>\n",
       "      <td>9</td>\n",
       "      <td>4</td>\n",
       "      <td>18</td>\n",
       "      <td>22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Análisis de Riesgos</th>\n",
       "      <td>6</td>\n",
       "      <td>45</td>\n",
       "      <td>87</td>\n",
       "      <td>154</td>\n",
       "      <td>237</td>\n",
       "      <td>291</td>\n",
       "      <td>441</td>\n",
       "      <td>435</td>\n",
       "      <td>459</td>\n",
       "      <td>501</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 48 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                counts                                   \\\n",
       "age                                 18    19    20     21     22     23   \n",
       "nombre_area                                                               \n",
       "Abastecimiento                     172   367   544    646    724    706   \n",
       "Administracion de Seguros           32    66   126    178    207    281   \n",
       "Administración                    1822  5295  8606  12916  15870  18845   \n",
       "Administración de Base de Datos      3     8    19     18     19     21   \n",
       "Administración de Personal         281   642  1020   1663   2031   2400   \n",
       "Almacén / Depósito / Expedición    494  1191  1787   2414   2890   2999   \n",
       "Análisis Funcional                  14    65    79    132    196    242   \n",
       "Análisis de Riesgos                  6    45    87    154    237    291   \n",
       "\n",
       "                                                            ...            \\\n",
       "age                                 24     25     26     27 ...   56   57   \n",
       "nombre_area                                                 ...             \n",
       "Abastecimiento                     738    656    789    682 ...    7    9   \n",
       "Administracion de Seguros          279    310    321    294 ...    4    2   \n",
       "Administración                   20935  21021  20881  20276 ...  623  307   \n",
       "Administración de Base de Datos     28     38     41     41 ...    0    1   \n",
       "Administración de Personal        2696   2476   2489   2642 ...   51   52   \n",
       "Almacén / Depósito / Expedición   3125   3126   3327   3373 ...   57   48   \n",
       "Análisis Funcional                 342    292    311    438 ...    7   26   \n",
       "Análisis de Riesgos                441    435    459    501 ...    4    9   \n",
       "\n",
       "                                                                   \n",
       "age                               58   59   60  61  62  63  64 65  \n",
       "nombre_area                                                        \n",
       "Abastecimiento                     6    8    2   0   2   1   2  0  \n",
       "Administracion de Seguros          3    2    1   0   1   0   0  0  \n",
       "Administración                   424  151  177  94  80  34  35  6  \n",
       "Administración de Base de Datos    0    0    0   1   0   0   0  0  \n",
       "Administración de Personal        27   27    9  12   8   2  11  8  \n",
       "Almacén / Depósito / Expedición   26   27   10  22  10   6  13  0  \n",
       "Análisis Funcional                13    9    4  18  22   0   0  0  \n",
       "Análisis de Riesgos                9    2   20   0   0   0   0  0  \n",
       "\n",
       "[8 rows x 48 columns]"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datos_heat_map.head(8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [],
   "source": [
    "datos_heat_map.columns = datos_heat_map.columns.droplevel(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [],
   "source": [
    "val=False\n",
    "i=0\n",
    "while not (i==(((datos_heat_map.shape)[0]))):\n",
    "    for col in datos_heat_map.columns:\n",
    "        if(((datos_heat_map.iloc[i])[col])>1000):\n",
    "            val=True\n",
    "    if not val:\n",
    "        datos_heat_map.drop(datos_heat_map.index[i], inplace=True)\n",
    "        if not i==0:\n",
    "            i=i-1\n",
    "        val=False\n",
    "        continue\n",
    "    val=False\n",
    "    i = i+1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(140.5,0.5,'Categoría')"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(18,10))\n",
    "g = sns.heatmap(datos_heat_map,  cmap=\"Reds\",ax=ax,linewidths=.5)\n",
    "g.set_title(\"Relacion postulaciones segun edad y categroría\", fontsize=22)\n",
    "g.set_xlabel(\"Edad de postulantes\",fontsize=18)\n",
    "g.set_ylabel(\"Categoría\", fontsize=18)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [],
   "source": [
    "fechas_validas_copy = fechas_validas.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [],
   "source": [
    "fechas_validas_copy['fechapostulacion'] = pd.to_datetime(fechas_validas_copy['fechapostulacion'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "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>idaviso</th>\n",
       "      <th>idpostulante</th>\n",
       "      <th>fechapostulacion</th>\n",
       "      <th>fechanacimiento</th>\n",
       "      <th>sexo</th>\n",
       "      <th>age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1112257047</td>\n",
       "      <td>NM5M</td>\n",
       "      <td>2018-01-15 16:22:34</td>\n",
       "      <td>1970-12-03</td>\n",
       "      <td>FEM</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1111920714</td>\n",
       "      <td>NM5M</td>\n",
       "      <td>2018-02-06 09:04:50</td>\n",
       "      <td>1970-12-03</td>\n",
       "      <td>FEM</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1112346945</td>\n",
       "      <td>NM5M</td>\n",
       "      <td>2018-02-22 09:04:47</td>\n",
       "      <td>1970-12-03</td>\n",
       "      <td>FEM</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      idaviso idpostulante    fechapostulacion fechanacimiento sexo  age\n",
       "0  1112257047         NM5M 2018-01-15 16:22:34      1970-12-03  FEM   47\n",
       "1  1111920714         NM5M 2018-02-06 09:04:50      1970-12-03  FEM   47\n",
       "2  1112346945         NM5M 2018-02-22 09:04:47      1970-12-03  FEM   47"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fechas_validas_copy.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [],
   "source": [
    "fechas_validas_copy['dia_semana'] = fechas_validas_copy['fechapostulacion'].dt.weekday_name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [],
   "source": [
    "fechas_validas_copy['mes'] = fechas_validas_copy['fechapostulacion'].dt.month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [],
   "source": [
    "#convertir numero mes en nombre mes:\n",
    "import calendar\n",
    "fechas_validas_copy['mes'] = fechas_validas_copy['mes'].apply(lambda x: calendar.month_abbr[x])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [],
   "source": [
    "fechas_validas_copy['dia'] = fechas_validas_copy['fechapostulacion'].dt.day"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_dias_semana = (fechas_validas_copy.groupby('dia_semana').size().reset_index(name='cantidad'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [],
   "source": [
    "d = {'dia_semana': [\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\",\"Sunday\"]}\n",
    "df = pd.DataFrame(data=d)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_dias_semana = pd.merge(df, df_dias_semana, on='dia_semana', how='left')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_dias_semana = df_dias_semana.set_index('dia_semana')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [],
   "source": [
    "del df_dias_semana.index.name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "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>cantidad</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Monday</th>\n",
       "      <td>659598</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tuesday</th>\n",
       "      <td>650157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wednesday</th>\n",
       "      <td>668725</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thursday</th>\n",
       "      <td>499641</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Friday</th>\n",
       "      <td>440921</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Saturday</th>\n",
       "      <td>214285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sunday</th>\n",
       "      <td>223794</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           cantidad\n",
       "Monday       659598\n",
       "Tuesday      650157\n",
       "Wednesday    668725\n",
       "Thursday     499641\n",
       "Friday       440921\n",
       "Saturday     214285\n",
       "Sunday       223794"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_dias_semana"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'Cantidad de postulaciones')"
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = df_dias_semana.plot.bar(figsize=(10,10))\n",
    "g.set_title(\"Postulaciones segun el dia de semana\", fontsize=22)\n",
    "g.set_xlabel(\"Dia de la semana\",fontsize=18)\n",
    "g.set_ylabel(\"Cantidad de postulaciones\", fontsize=18)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "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>idaviso</th>\n",
       "      <th>idpostulante</th>\n",
       "      <th>fechapostulacion</th>\n",
       "      <th>fechanacimiento</th>\n",
       "      <th>sexo</th>\n",
       "      <th>age</th>\n",
       "      <th>dia_semana</th>\n",
       "      <th>mes</th>\n",
       "      <th>dia</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1112257047</td>\n",
       "      <td>NM5M</td>\n",
       "      <td>2018-01-15 16:22:34</td>\n",
       "      <td>1970-12-03</td>\n",
       "      <td>FEM</td>\n",
       "      <td>47</td>\n",
       "      <td>Monday</td>\n",
       "      <td>Jan</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1111920714</td>\n",
       "      <td>NM5M</td>\n",
       "      <td>2018-02-06 09:04:50</td>\n",
       "      <td>1970-12-03</td>\n",
       "      <td>FEM</td>\n",
       "      <td>47</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>Feb</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1112346945</td>\n",
       "      <td>NM5M</td>\n",
       "      <td>2018-02-22 09:04:47</td>\n",
       "      <td>1970-12-03</td>\n",
       "      <td>FEM</td>\n",
       "      <td>47</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>Feb</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1112345547</td>\n",
       "      <td>NM5M</td>\n",
       "      <td>2018-02-22 09:04:59</td>\n",
       "      <td>1970-12-03</td>\n",
       "      <td>FEM</td>\n",
       "      <td>47</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>Feb</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      idaviso idpostulante    fechapostulacion fechanacimiento sexo  age  \\\n",
       "0  1112257047         NM5M 2018-01-15 16:22:34      1970-12-03  FEM   47   \n",
       "1  1111920714         NM5M 2018-02-06 09:04:50      1970-12-03  FEM   47   \n",
       "2  1112346945         NM5M 2018-02-22 09:04:47      1970-12-03  FEM   47   \n",
       "3  1112345547         NM5M 2018-02-22 09:04:59      1970-12-03  FEM   47   \n",
       "\n",
       "  dia_semana  mes  dia  \n",
       "0     Monday  Jan   15  \n",
       "1    Tuesday  Feb    6  \n",
       "2   Thursday  Feb   22  \n",
       "3   Thursday  Feb   22  "
      ]
     },
     "execution_count": 150,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fechas_validas_copy.head(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {},
   "outputs": [],
   "source": [
    "dias_feb = fechas_validas_copy.loc[fechas_validas_copy['mes']==\"Feb\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_dias = dias_feb.groupby(['dia','dia_semana']).size()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [],
   "source": [
    "#df_dias = df_dias.set_index('dia')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {},
   "outputs": [],
   "source": [
    "#df_dias = df_dias.set_index('cantidad')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dia  dia_semana\n",
       "1    Thursday      76507\n",
       "2    Friday        68472\n",
       "3    Saturday      32028\n",
       "4    Sunday        34898\n",
       "dtype: int64"
      ]
     },
     "execution_count": 157,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_dias.head(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'Cantidad de postulaciones')"
      ]
     },
     "execution_count": 159,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = df_dias.plot.bar(figsize=(10,10))\n",
    "#df.plot(x=\"X\", y=[\"A\", \"B\", \"C\"], kind=\"bar\")\n",
    "g.set_title(\"Postulaciones segun el dia del mes de Febrero\", fontsize=22)\n",
    "g.set_xlabel(\"Dia del mes\",fontsize=18)\n",
    "g.set_ylabel(\"Cantidad de postulaciones\", fontsize=18)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_mes = fechas_validas_copy.groupby('mes').size()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'Cantidad de postulaciones')"
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = df_mes.plot.bar(figsize=(10,10))\n",
    "g.set_title(\"Postulaciones segun el mes\", fontsize=22)\n",
    "g.set_xlabel(\"Mes\",fontsize=18)\n",
    "g.set_ylabel(\"Cantidad de postulaciones\", fontsize=18)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}