memoria.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# TÍTULO\n",
    "\"SOBRECARGA DE TRABAJO EN LOS CENTROS DE SERVICIOS SOCIALES EN EL AYUNTAMIENTO DE MADRID\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## TEMA:\n",
    "\"VALORAR LA SOBREEXPLOTACION DE LOS TRABAJADORES SOCIALES EN EPOCA POST-COVID\"\n",
    "\n",
    "Los datos a valorar son los del año 2021, que es un año completo.\n",
    "\n",
    "Sería interesante ver los datos en los años 2019 y 2020 para valorar como ha ido evolucionando en estos años"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### HIPÓTESIS\n",
    "hipotesis_1 = \"Hay mucha demanda de ayudas y servicios sociales en determinados distritos (valorar si es en todos) y poco personal para absorber esta demanda\"\n",
    "\n",
    "hipotesis_2 = \"Valorar si hay suficientes recursos no humanos para atender las demandas de los usuarios\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "\"\"\"\n",
    "IMPORTS\n",
    "\"\"\"\n",
    "import pandas as pd\n",
    "import xlrd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import squarify\n",
    "import folium \n",
    "from folium import plugins\n",
    "import ipywidgets\n",
    "import geocoder\n",
    "import geopy\n",
    "import numpy as np\n",
    "from vega_datasets import data as vds\n",
    "from branca.element import Figure"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "\"\"\"\n",
    "PALETAS PARA GRAFICAS\n",
    "\"\"\"\n",
    "paleta_distrito=['#cc0000','#fc0000','#fc0000','#ff0000','#ff0000','#ff8000','#ff9933','#999900','#336600','#009900','#00ff00','#33ffff','#00cccc','#0080ff','#0000ff','#0000cc','#004c99','#000099','#000099','#000066','#000066']\n",
    "paleta_centro=['#cc0000','#cc0000','#cc0000','#fc0000','#fc0000','#fc0000','#ff0000','#ff0000','#ff8000','#ff9933','#ff9933','#999900','#999900','#336600','#336600','#00ff00','#00ff00','#33ffff','#33ffff','#00cccc','#00cccc','#0080ff','#0080ff','#0000ff','#0000ff','#0000ff','#0000cc','#0000cc','#0000cc','#004c99','#004c99','#004c99','#000099','#000099','#000066','#000066','#000066']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.- Obtención de los datos"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "La fuente principal de todos los datos obtenidos ha sido a través de las páginas del ayuntamiento de Madrid (MUNIMADRID y PORTAL DE DATOS ABIERTOS DEL AYUNTAMIENTO DE MADRID)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# guarda en variables los datasets y su fuente\n",
    "# df_1 = pd.DataFrame()\n",
    "# URL_indice_vulnerabilidad_rentas=\"https://datos.madrid.es/sites/v/index.jsp?vgnextoid=bbd71fa5c48a0810VgnVCM2000001f4a900aRCRD&vgnextchannel=374512b9ace9f310VgnVCM100000171f5a0aRCRD\"\"\n",
    "##  DE ESTE VINCULO (Esfera de Economía y Empleo por Distritos y Barrios) SE EXTRAEN DATOS DE RENTA MEDIA POR HOGAR\n",
    "\n",
    "#df_2 = pd.DataFrame()\n",
    "# Servicios Sociales Ayto\n",
    "## ESTE ES UN FICHERO EXTRAIDO DE DATOS.MADRID, DEL CUAL NO TENGO VINCULO. EN EL SE DETALLA EL NUMERO DE TRABAJADORES POR CENTRO Y DISTRITO\n",
    "\n",
    "#df_3 = pd.DataFrame()\n",
    "# URL_personas_atendidas=\"https://datos.madrid.es/portal/site/egob/menuitem.c05c1f754a33a9fbe4b2e4b284f1a5a0/?vgnextoid=8c936c7fe412b610VgnVCM2000001f4a900aRCRD&vgnextchannel=374512b9ace9f310VgnVCM100000171f5a0aRCRD&vgnextfmt=default\"\n",
    "# SE DETALLAN LAS PERSONAS ATENDIDAS\n",
    "\n",
    "#df_4 = pd.DataFrame()\n",
    "# URL_citas_proporcionadas=\"https://datos.madrid.es/portal/site/egob/menuitem.c05c1f754a33a9fbe4b2e4b284f1a5a0/?vgnextoid=73ee23d869578610VgnVCM2000001f4a900aRCRD&vgnextchannel=374512b9ace9f310VgnVCM100000171f5a0aRCRD&vgnextfmt=default\"\n",
    "# SE DETALLAN LAS CITAS QUE SE HAN DADO A USUARIOS, RELACIONADA CON EL DF_3\n",
    "\n",
    "#df_5 = pd.DataFrame()\n",
    "# URL_demandas_de_servicio=\"https://datos.madrid.es/portal/site/egob/menuitem.c05c1f754a33a9fbe4b2e4b284f1a5a0/?vgnextoid=40ab4e8b0327d610VgnVCM1000001d4a900aRCRD&vgnextchannel=374512b9ace9f310VgnVCM100000171f5a0aRCRD&vgnextfmt=default\"\n",
    "# SOLICITUDES DE PROCESOS SOLICITADOS POR LOS USUARIOS\n",
    "\n",
    "#df_6 = pd.DataFrame()\n",
    "# URL_urgencias_atendidas=\"https://datos.madrid.es/portal/site/egob/menuitem.c05c1f754a33a9fbe4b2e4b284f1a5a0/?vgnextoid=0b006dace9578610VgnVCM1000001d4a900aRCRD&vgnextchannel=374512b9ace9f310VgnVCM100000171f5a0aRCRD&vgnextfmt=default\"\n",
    "# URGENCIAS ATENDIDAS EN LOS CENTROS. ESTAS URGENCIAS SON DE LA SIGUIENTES TIPOLOGIAS \n",
    "# Abandono\n",
    "# Alojamiento/Vivienda\n",
    "# Desprotección social problema salud\n",
    "# Desprotección socio-familiar\n",
    "# Malos tratos\n",
    "\n",
    "#df_7 = pd.DataFrame()\n",
    "# URL: http://www-2.munimadrid.es/CSE6/control/mostrarDatos\n",
    "## ESTE ES UN FICHERO EXTRAIDO DE MUNIMADRID, EL CUAL ES UN FICHERO DE EXCEL DONDE EXTRAIGO LA POBLACION DE CADA DISTRITO\n",
    "\n",
    "\n",
    "# OTROS POSIBLES DF QUE PUDIERA NECESITAR:\n",
    "#URL_datos_abiertos_madrid=\"https://datos.madrid.es/portal/site/egob/menuitem.9e1e2f6404558187cf35cf3584f1a5a0/?vgnextoid=374512b9ace9f310VgnVCM100000171f5a0aRCRD&vgnextchannel=374512b9ace9f310VgnVCM100000171f5a0aRCRD&vgnextfmt=default\"\n",
    "#URL_centros_sociales=\"https://datos.madrid.es/portal/site/egob/menuitem.c05c1f754a33a9fbe4b2e4b284f1a5a0/?vgnextoid=7c123e08dafc8410VgnVCM1000000b205a0aRCRD&vgnextchannel=374512b9ace9f310VgnVCM100000171f5a0aRCRD&vgnextfmt=default\"\n",
    "#URL_ayudas_sociales=\"https://datos.madrid.es/portal/site/egob/menuitem.c05c1f754a33a9fbe4b2e4b284f1a5a0/?vgnextoid=00937b777f8ea610VgnVCM2000001f4a900aRCRD&vgnextchannel=374512b9ace9f310VgnVCM100000171f5a0aRCRD&vgnextfmt=default\"\n",
    "#URL_panel_indicador=\"https://datos.madrid.es/portal/site/egob/menuitem.c05c1f754a33a9fbe4b2e4b284f1a5a0/?vgnextoid=71359583a773a510VgnVCM2000001f4a900aRCRD&vgnextchannel=374512b9ace9f310VgnVCM100000171f5a0aRCRD&vgnextfmt=default\"\n",
    "#URL_ranking_vulnerabilidad=\"https://datos.madrid.es/portal/site/egob/menuitem.c05c1f754a33a9fbe4b2e4b284f1a5a0/?vgnextoid=d029ed1e80d38610VgnVCM2000001f4a900aRCRD&vgnextchannel=374512b9ace9f310VgnVCM100000171f5a0aRCRD&vgnextfmt=default\"\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.- Extraccion de datos de los diferentes Datasets y almacenamiento en nuevo fichero situado en data\\Outcomes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_1= pd.read_excel(\"data\\Incomes\\indice_vulnerabilidad_rentas.xlsx\",sheet_name=\"Descriptivos distritos\")\n",
    "\n",
    "df_1.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_1.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "De este DataFrame tomaré los datos de \"Codigo distrito\" ,\"Nombre Distrito\" y \"Renta media por hogar\".\n",
    "\n",
    "No hace falta hacer modificación sobre estos datos."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_1=df_1[[\"Codigo distrito\",\"Nombre distrito\",\"Renta neta media por hogar\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_1.to_csv('data\\Outcomes\\df_1.csv',header=True,index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_2= pd.read_csv(\"data\\Incomes\\Trabajadores_sociales.csv\",sep=';',encoding='iso8859_16')\n",
    "df_2.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_2.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "De este DataFrame vamos a tomar los datos de \"Codigo Distrito\", \"Distrito_L\", \"Centro\" y \"Trabajadores Sociales Total\".\n",
    "\n",
    "Esta última columna la generaré realizando la suma de \"Trabajadores Sociales PA\" y \"Trabajadores Sociales Zona\".\n",
    "\n",
    "Sobre los datos de este DataFrame es desde partiré para realizar los estudios de los diferentes parámetros."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_2[\"Trabajadores Sociales Total\"]=df_2[\"Trabajadores sociales PA\"]+df_2[\"Trabajadores sociales Zona\"]\n",
    "\n",
    "df_2=df_2[[\"Distrito\",\"Distrito_L\",\"Centro_L\",\"Trabajadores Sociales Total\"]]\n",
    "\n",
    "df_2.rename({\"Distrito\":'Codigo distrito',\"Distrito_L\":'Nombre distrito','Centro_L':'Centro'}, axis=1,inplace=True)                            ##   REEMPLAZO NOMBRES COLUMNAS PARA UNIFICARLOS CON EL RESTO DE LOS DATAFRAME A UTILIZAR"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_2.to_csv('data\\Outcomes\\df_2.csv',header=True,index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_3=pd.read_csv(\"data\\Incomes\\personas_atendidas_atencion_primaria_2021.csv\",sep=';',encoding='ISO-8859-1',index_col='Secuencia')\n",
    "\n",
    "df_3.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "De este DataFrame tomaré los datos de \"Centro\" y \"Distrito Centro\" para poder referenciar con el resto.\n",
    "\n",
    "Y realizaré un conteo de las personas atendidas en cada centro."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_3.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_3=df_3.groupby(['Centro','Distrito Centro'], as_index=False)[['Año Atención']].count()                \n",
    "\n",
    "df_3.rename({'Año Atención':'N_personas_atendidas'}, axis=1,inplace=True)   \n",
    "                                          "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_3.to_csv('data\\Outcomes\\df_3.csv',header=True,index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_4=pd.read_csv(\"data\\Incomes\\citas_proporcionada_2021.csv\",sep=';',encoding='latin-1',index_col='Secuencia')\n",
    "\n",
    "df_4.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_4.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "De este DataFrame tomaré los datos de \"Centro\" y \"Distrito Centro\" para poder referenciar con el resto.\n",
    "\n",
    "Y realizaré un conteo de las personas que solicitaron cita en cada centro para ver si hay correlación con el resto de las variables."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_4=df_4.groupby(['Centro','Distrito Centro'], as_index=False)[['Fecha Cita']].count()              \n",
    "df_4_1\n",
    "df_4.rename({'Fecha Cita':'N_citas_proporcionadas'}, axis=1,inplace=True)                            "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_4.to_csv('data\\Outcomes\\df_4.csv',header=True,index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_5=pd.read_csv(\"data\\Incomes\\demandas_de_servicio_2021.csv\",sep=';',encoding='ISO-8859-1',index_col='Secuencia')\n",
    "\n",
    "df_5.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_5.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "De este DataFrame tomaré igualmente los datos de \"Centro\" y \"Distrito Centro\" para poder referenciar con el resto.\n",
    "\n",
    "Y realizaré un conteo de las personas que demandaron algún servicio para ver si hay correlación con el resto de las variables."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_5.rename({'Fecha Demanda':'N_demandas'}, axis=1,inplace=True)                               \n",
    "\n",
    "df_5=df_5.groupby(['Centro','Distrito Centro'], as_index=False)[['N_demandas']].count()        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_5.to_csv('data\\Outcomes\\df_5.csv',header=True,index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.- Preparando los datos para la realización de las gráficas oportunas."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Tras haber salvado los datos relevantes de las tablas en ficheros Outcomes tipo .csv vamos a proceder a trabajar con ellos para lo que iremos importando nuevamente estos ficheros, juntandolos con __\"merge\"__ , realizar diversas transformaciones y desarrollar las gráficas oportunas.\n",
    "\n",
    "Las separaremos en 2 grupos de datos:\n",
    "- Una tabla para agrupar los dos primeros DataFrames donde relacionaré los datos en cada distrito, los Centros de Atención Primaria de los Servicios Sociales y los Trabajadores Sociales que hay en cada distrito.\n",
    "- Una tabla para asignar la carga de trabajo que hay en cada Centro de Atención Primaria de Servicios Sociales.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_1= pd.read_csv('data\\Outcomes\\df_1.csv')\n",
    "df_2= pd.read_csv('data\\Outcomes\\df_2.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_2['Numero de centros por distrito']=df_2[['Codigo distrito','Nombre distrito','Centro']].groupby('Codigo distrito')['Centro'].count()\n",
    "df_2['Numero de centros por distrito'].fillna(1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_1=df_1.sort_values(by='Renta neta media por hogar',ascending=True) \n",
    "df_2=df_2[['Codigo distrito','Nombre distrito','Trabajadores Sociales Total','Numero de centros por distrito']].groupby('Codigo distrito').sum('Trabajadores Sociales Total').reset_index()\n",
    "## Ordeno de menor a mayor los distintos distritos en función de la Renta Media de cada hogar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "Grafico_1_1=pd.merge(df_1,df_2)  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Codigo distrito</th>\n",
       "      <th>Nombre distrito</th>\n",
       "      <th>Renta neta media por hogar</th>\n",
       "      <th>Trabajadores Sociales Total</th>\n",
       "      <th>Numero de centros por distrito</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>13</td>\n",
       "      <td>Puente de Vallecas</td>\n",
       "      <td>27975</td>\n",
       "      <td>43</td>\n",
       "      <td>4.0</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>12</td>\n",
       "      <td>Usera</td>\n",
       "      <td>29061</td>\n",
       "      <td>30</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>17</td>\n",
       "      <td>Villaverde</td>\n",
       "      <td>29873</td>\n",
       "      <td>25</td>\n",
       "      <td>2.0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11</td>\n",
       "      <td>Carabanchel</td>\n",
       "      <td>31190</td>\n",
       "      <td>38</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10</td>\n",
       "      <td>Latina</td>\n",
       "      <td>33237</td>\n",
       "      <td>36</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>18</td>\n",
       "      <td>Villa de Vallecas</td>\n",
       "      <td>34168</td>\n",
       "      <td>8</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>19</td>\n",
       "      <td>Vicálvaro</td>\n",
       "      <td>35510</td>\n",
       "      <td>15</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>14</td>\n",
       "      <td>Moratalaz</td>\n",
       "      <td>37951</td>\n",
       "      <td>12</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1</td>\n",
       "      <td>Centro</td>\n",
       "      <td>38171</td>\n",
       "      <td>22</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>20</td>\n",
       "      <td>San Blas - Canillejas</td>\n",
       "      <td>38560</td>\n",
       "      <td>23</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>6</td>\n",
       "      <td>Tetuán</td>\n",
       "      <td>39332</td>\n",
       "      <td>20</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>15</td>\n",
       "      <td>Ciudad Lineal</td>\n",
       "      <td>40948</td>\n",
       "      <td>26</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2</td>\n",
       "      <td>Arganzuela</td>\n",
       "      <td>45262</td>\n",
       "      <td>13</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>21</td>\n",
       "      <td>Barajas</td>\n",
       "      <td>51108</td>\n",
       "      <td>6</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>16</td>\n",
       "      <td>Hortaleza</td>\n",
       "      <td>53836</td>\n",
       "      <td>17</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>8</td>\n",
       "      <td>Fuencarral - El Pardo</td>\n",
       "      <td>54493</td>\n",
       "      <td>18</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>7</td>\n",
       "      <td>Chamberí</td>\n",
       "      <td>56073</td>\n",
       "      <td>15</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>3</td>\n",
       "      <td>Retiro</td>\n",
       "      <td>57027</td>\n",
       "      <td>9</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>4</td>\n",
       "      <td>Salamanca</td>\n",
       "      <td>60435</td>\n",
       "      <td>13</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>9</td>\n",
       "      <td>Moncloa - Aravaca</td>\n",
       "      <td>62482</td>\n",
       "      <td>11</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>5</td>\n",
       "      <td>Chamartín</td>\n",
       "      <td>69558</td>\n",
       "      <td>10</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Codigo distrito        Nombre distrito  Renta neta media por hogar  \\\n",
       "0                13     Puente de Vallecas                       27975   \n",
       "1                12                  Usera                       29061   \n",
       "2                17             Villaverde                       29873   \n",
       "3                11            Carabanchel                       31190   \n",
       "4                10                 Latina                       33237   \n",
       "5                18      Villa de Vallecas                       34168   \n",
       "6                19              Vicálvaro                       35510   \n",
       "7                14              Moratalaz                       37951   \n",
       "8                 1                 Centro                       38171   \n",
       "9                20  San Blas - Canillejas                       38560   \n",
       "10                6                 Tetuán                       39332   \n",
       "11               15          Ciudad Lineal                       40948   \n",
       "12                2             Arganzuela                       45262   \n",
       "13               21                Barajas                       51108   \n",
       "14               16              Hortaleza                       53836   \n",
       "15                8  Fuencarral - El Pardo                       54493   \n",
       "16                7               Chamberí                       56073   \n",
       "17                3                 Retiro                       57027   \n",
       "18                4              Salamanca                       60435   \n",
       "19                9      Moncloa - Aravaca                       62482   \n",
       "20                5              Chamartín                       69558   \n",
       "\n",
       "    Trabajadores Sociales Total  Numero de centros por distrito  \n",
       "0                            43                             4.0  \n",
       "1                            30                             4.0  \n",
       "2                            25                             2.0  \n",
       "3                            38                             5.0  \n",
       "4                            36                             7.0  \n",
       "5                             8                             1.0  \n",
       "6                            15                             2.0  \n",
       "7                            12                             1.0  \n",
       "8                            22                             3.0  \n",
       "9                            23                             2.0  \n",
       "10                           20                             3.0  \n",
       "11                           26                             2.0  \n",
       "12                           13                             1.0  \n",
       "13                            6                             1.0  \n",
       "14                           17                             2.0  \n",
       "15                           18                             5.0  \n",
       "16                           15                             2.0  \n",
       "17                            9                             1.0  \n",
       "18                           13                             1.0  \n",
       "19                           11                             5.0  \n",
       "20                           10                             1.0  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Grafico_1_1                             ## Aqui se pueden ver los datos con los que realizaré las primeras gráficas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_2= pd.read_csv('data\\Outcomes\\df_2.csv')\n",
    "\n",
    "df_3= pd.read_csv('data\\Outcomes\\df_3.csv')\n",
    "\n",
    "df_4= pd.read_csv('data\\Outcomes\\df_4.csv')\n",
    "\n",
    "df_5= pd.read_csv('data\\Outcomes\\df_5.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_3=df_3.sort_values(by='N_personas_atendidas',ascending=False)         "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "Grafico_2=pd.merge(df_3,df_4,how=\"inner\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "Grafico_2=pd.merge(Grafico_2,df_5,how=\"inner\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "Grafico_2_1=pd.merge(df_2,Grafico_2,how=\"inner\").sort_values(by='N_personas_atendidas',ascending=False)               ## ORDENO POR EL NUMERO DE PERSONAS ATENDIDAS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "Grafico_2_1['N_personas_atendidas']=round(Grafico_2_1['N_personas_atendidas']/220,2)                            # Recalculo las variables que están por año a día trabajado por el personal \n",
    "\n",
    "Grafico_2_1['N_citas_proporcionadas']=round(Grafico_2_1['N_citas_proporcionadas']/220,2)                        # que es 220 días laborales según datos extraidos y lo redondeo a 2 decimales\n",
    "\n",
    "Grafico_2_1['N_demandas']=round(Grafico_2_1['N_demandas']/220,2)\n",
    "\n",
    "Grafico_2_1=Grafico_2_1[['Nombre distrito','Centro','Trabajadores Sociales Total','N_personas_atendidas','N_citas_proporcionadas','N_demandas']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "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 distrito</th>\n",
       "      <th>Centro</th>\n",
       "      <th>Trabajadores Sociales Total</th>\n",
       "      <th>N_personas_atendidas</th>\n",
       "      <th>N_citas_proporcionadas</th>\n",
       "      <th>N_demandas</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Ciudad Lineal</td>\n",
       "      <td>CSS Luis Vives</td>\n",
       "      <td>20</td>\n",
       "      <td>101.26</td>\n",
       "      <td>70.99</td>\n",
       "      <td>30.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Carabanchel</td>\n",
       "      <td>CSS Zaida</td>\n",
       "      <td>18</td>\n",
       "      <td>91.61</td>\n",
       "      <td>72.80</td>\n",
       "      <td>22.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Usera</td>\n",
       "      <td>CSS San Filiberto</td>\n",
       "      <td>18</td>\n",
       "      <td>85.88</td>\n",
       "      <td>60.10</td>\n",
       "      <td>25.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Villaverde</td>\n",
       "      <td>CSS Huerta de Villaverde</td>\n",
       "      <td>15</td>\n",
       "      <td>82.20</td>\n",
       "      <td>45.74</td>\n",
       "      <td>32.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Latina</td>\n",
       "      <td>CSS Fuerte de Navidad</td>\n",
       "      <td>13</td>\n",
       "      <td>70.19</td>\n",
       "      <td>74.10</td>\n",
       "      <td>5.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Villaverde</td>\n",
       "      <td>CSS Eduardo Minguito</td>\n",
       "      <td>10</td>\n",
       "      <td>69.27</td>\n",
       "      <td>52.62</td>\n",
       "      <td>49.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Moratalaz</td>\n",
       "      <td>CSS Fuente Carrantona</td>\n",
       "      <td>12</td>\n",
       "      <td>66.83</td>\n",
       "      <td>35.69</td>\n",
       "      <td>17.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Villa de Vallecas</td>\n",
       "      <td>CSS Villa de Vallecas</td>\n",
       "      <td>8</td>\n",
       "      <td>66.24</td>\n",
       "      <td>44.80</td>\n",
       "      <td>27.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Puente de Vallecas</td>\n",
       "      <td>CSS San Diego</td>\n",
       "      <td>12</td>\n",
       "      <td>65.82</td>\n",
       "      <td>53.91</td>\n",
       "      <td>2.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Latina</td>\n",
       "      <td>CSS Gallur</td>\n",
       "      <td>12</td>\n",
       "      <td>65.24</td>\n",
       "      <td>68.15</td>\n",
       "      <td>14.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Arganzuela</td>\n",
       "      <td>CSS José Villarreal</td>\n",
       "      <td>13</td>\n",
       "      <td>62.80</td>\n",
       "      <td>73.30</td>\n",
       "      <td>30.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Tetuan</td>\n",
       "      <td>CSS María Zayas</td>\n",
       "      <td>11</td>\n",
       "      <td>61.15</td>\n",
       "      <td>49.49</td>\n",
       "      <td>11.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Latina</td>\n",
       "      <td>CSS Los Yébenes</td>\n",
       "      <td>11</td>\n",
       "      <td>57.80</td>\n",
       "      <td>52.89</td>\n",
       "      <td>24.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Fuencarral-El pardo</td>\n",
       "      <td>CSS San Vicente de Paúl</td>\n",
       "      <td>8</td>\n",
       "      <td>54.70</td>\n",
       "      <td>36.06</td>\n",
       "      <td>6.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>San Blas-Canillejas</td>\n",
       "      <td>CSS Torre Arias</td>\n",
       "      <td>12</td>\n",
       "      <td>53.58</td>\n",
       "      <td>35.29</td>\n",
       "      <td>5.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Salamanca</td>\n",
       "      <td>CSS Guindalera</td>\n",
       "      <td>13</td>\n",
       "      <td>52.60</td>\n",
       "      <td>47.98</td>\n",
       "      <td>26.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Chamberí</td>\n",
       "      <td>CSS Marta Esquivias Tallada</td>\n",
       "      <td>15</td>\n",
       "      <td>52.42</td>\n",
       "      <td>43.39</td>\n",
       "      <td>18.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Fuencarral-El pardo</td>\n",
       "      <td>CSS Badalona</td>\n",
       "      <td>10</td>\n",
       "      <td>51.10</td>\n",
       "      <td>36.41</td>\n",
       "      <td>3.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Hortaleza</td>\n",
       "      <td>CSS Concepción Arenal</td>\n",
       "      <td>11</td>\n",
       "      <td>50.86</td>\n",
       "      <td>39.53</td>\n",
       "      <td>25.93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Usera</td>\n",
       "      <td>CSS Loyola de Palacio</td>\n",
       "      <td>12</td>\n",
       "      <td>49.89</td>\n",
       "      <td>47.82</td>\n",
       "      <td>21.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>San Blas-Canillejas</td>\n",
       "      <td>CSS Pablo Casals</td>\n",
       "      <td>11</td>\n",
       "      <td>49.37</td>\n",
       "      <td>30.15</td>\n",
       "      <td>3.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Carabanchel</td>\n",
       "      <td>CSS Plaza Elíptica</td>\n",
       "      <td>9</td>\n",
       "      <td>49.00</td>\n",
       "      <td>39.02</td>\n",
       "      <td>5.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Chamartín</td>\n",
       "      <td>CSS Santa Hortensia</td>\n",
       "      <td>10</td>\n",
       "      <td>48.43</td>\n",
       "      <td>47.00</td>\n",
       "      <td>34.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Puente de Vallecas</td>\n",
       "      <td>CSS Pablo Neruda</td>\n",
       "      <td>11</td>\n",
       "      <td>47.61</td>\n",
       "      <td>38.36</td>\n",
       "      <td>35.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Retiro</td>\n",
       "      <td>CSS Retiro</td>\n",
       "      <td>9</td>\n",
       "      <td>46.15</td>\n",
       "      <td>30.82</td>\n",
       "      <td>16.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Puente de Vallecas</td>\n",
       "      <td>CSS Ramón Pérez De Ayala</td>\n",
       "      <td>11</td>\n",
       "      <td>45.35</td>\n",
       "      <td>35.92</td>\n",
       "      <td>3.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Tetuan</td>\n",
       "      <td>CSS Vicente Ferrer</td>\n",
       "      <td>9</td>\n",
       "      <td>44.36</td>\n",
       "      <td>34.27</td>\n",
       "      <td>12.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Puente de Vallecas</td>\n",
       "      <td>CSS Entrevías</td>\n",
       "      <td>9</td>\n",
       "      <td>40.23</td>\n",
       "      <td>35.33</td>\n",
       "      <td>5.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Centro</td>\n",
       "      <td>CSS Puerta de Toledo</td>\n",
       "      <td>14</td>\n",
       "      <td>38.02</td>\n",
       "      <td>40.37</td>\n",
       "      <td>10.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Hortaleza</td>\n",
       "      <td>CSS El Querol</td>\n",
       "      <td>6</td>\n",
       "      <td>29.46</td>\n",
       "      <td>23.78</td>\n",
       "      <td>4.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Ciudad Lineal</td>\n",
       "      <td>CSS Santa Felicidad</td>\n",
       "      <td>6</td>\n",
       "      <td>28.80</td>\n",
       "      <td>22.63</td>\n",
       "      <td>12.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Vicalvaro</td>\n",
       "      <td>CSS Valdebernardo</td>\n",
       "      <td>8</td>\n",
       "      <td>26.39</td>\n",
       "      <td>25.69</td>\n",
       "      <td>8.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Vicalvaro</td>\n",
       "      <td>CSS Calahorra</td>\n",
       "      <td>7</td>\n",
       "      <td>25.11</td>\n",
       "      <td>18.25</td>\n",
       "      <td>13.49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Centro</td>\n",
       "      <td>CSS Maravillas</td>\n",
       "      <td>8</td>\n",
       "      <td>24.96</td>\n",
       "      <td>37.40</td>\n",
       "      <td>16.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Moncloa-Aravaca</td>\n",
       "      <td>CSS Dehesa de la Villa</td>\n",
       "      <td>6</td>\n",
       "      <td>24.22</td>\n",
       "      <td>26.23</td>\n",
       "      <td>39.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Barajas</td>\n",
       "      <td>CSS Teresa de Calcuta</td>\n",
       "      <td>6</td>\n",
       "      <td>22.22</td>\n",
       "      <td>20.44</td>\n",
       "      <td>15.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Moncloa-Aravaca</td>\n",
       "      <td>CSS Infante Don Juan</td>\n",
       "      <td>5</td>\n",
       "      <td>22.07</td>\n",
       "      <td>24.70</td>\n",
       "      <td>15.14</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Nombre distrito                       Centro  \\\n",
       "25        Ciudad Lineal               CSS Luis Vives   \n",
       "17          Carabanchel                    CSS Zaida   \n",
       "19                Usera            CSS San Filiberto   \n",
       "29           Villaverde     CSS Huerta de Villaverde   \n",
       "13               Latina        CSS Fuerte de Navidad   \n",
       "30           Villaverde         CSS Eduardo Minguito   \n",
       "24            Moratalaz        CSS Fuente Carrantona   \n",
       "31    Villa de Vallecas        CSS Villa de Vallecas   \n",
       "23   Puente de Vallecas                CSS San Diego   \n",
       "15               Latina                   CSS Gallur   \n",
       "2            Arganzuela          CSS José Villarreal   \n",
       "6                Tetuan              CSS María Zayas   \n",
       "14               Latina              CSS Los Yébenes   \n",
       "10  Fuencarral-El pardo      CSS San Vicente de Paúl   \n",
       "35  San Blas-Canillejas              CSS Torre Arias   \n",
       "4             Salamanca               CSS Guindalera   \n",
       "8              Chamberí  CSS Marta Esquivias Tallada   \n",
       "9   Fuencarral-El pardo                 CSS Badalona   \n",
       "27            Hortaleza        CSS Concepción Arenal   \n",
       "18                Usera        CSS Loyola de Palacio   \n",
       "34  San Blas-Canillejas             CSS Pablo Casals   \n",
       "16          Carabanchel           CSS Plaza Elíptica   \n",
       "5             Chamartín          CSS Santa Hortensia   \n",
       "22   Puente de Vallecas             CSS Pablo Neruda   \n",
       "3                Retiro                   CSS Retiro   \n",
       "20   Puente de Vallecas     CSS Ramón Pérez De Ayala   \n",
       "7                Tetuan           CSS Vicente Ferrer   \n",
       "21   Puente de Vallecas                CSS Entrevías   \n",
       "1                Centro         CSS Puerta de Toledo   \n",
       "28            Hortaleza                CSS El Querol   \n",
       "26        Ciudad Lineal          CSS Santa Felicidad   \n",
       "33            Vicalvaro            CSS Valdebernardo   \n",
       "32            Vicalvaro                CSS Calahorra   \n",
       "0                Centro               CSS Maravillas   \n",
       "11      Moncloa-Aravaca       CSS Dehesa de la Villa   \n",
       "36              Barajas        CSS Teresa de Calcuta   \n",
       "12      Moncloa-Aravaca        CSS Infante Don Juan    \n",
       "\n",
       "    Trabajadores Sociales Total  N_personas_atendidas  N_citas_proporcionadas  \\\n",
       "25                           20                101.26                   70.99   \n",
       "17                           18                 91.61                   72.80   \n",
       "19                           18                 85.88                   60.10   \n",
       "29                           15                 82.20                   45.74   \n",
       "13                           13                 70.19                   74.10   \n",
       "30                           10                 69.27                   52.62   \n",
       "24                           12                 66.83                   35.69   \n",
       "31                            8                 66.24                   44.80   \n",
       "23                           12                 65.82                   53.91   \n",
       "15                           12                 65.24                   68.15   \n",
       "2                            13                 62.80                   73.30   \n",
       "6                            11                 61.15                   49.49   \n",
       "14                           11                 57.80                   52.89   \n",
       "10                            8                 54.70                   36.06   \n",
       "35                           12                 53.58                   35.29   \n",
       "4                            13                 52.60                   47.98   \n",
       "8                            15                 52.42                   43.39   \n",
       "9                            10                 51.10                   36.41   \n",
       "27                           11                 50.86                   39.53   \n",
       "18                           12                 49.89                   47.82   \n",
       "34                           11                 49.37                   30.15   \n",
       "16                            9                 49.00                   39.02   \n",
       "5                            10                 48.43                   47.00   \n",
       "22                           11                 47.61                   38.36   \n",
       "3                             9                 46.15                   30.82   \n",
       "20                           11                 45.35                   35.92   \n",
       "7                             9                 44.36                   34.27   \n",
       "21                            9                 40.23                   35.33   \n",
       "1                            14                 38.02                   40.37   \n",
       "28                            6                 29.46                   23.78   \n",
       "26                            6                 28.80                   22.63   \n",
       "33                            8                 26.39                   25.69   \n",
       "32                            7                 25.11                   18.25   \n",
       "0                             8                 24.96                   37.40   \n",
       "11                            6                 24.22                   26.23   \n",
       "36                            6                 22.22                   20.44   \n",
       "12                            5                 22.07                   24.70   \n",
       "\n",
       "    N_demandas  \n",
       "25       30.80  \n",
       "17       22.39  \n",
       "19       25.68  \n",
       "29       32.28  \n",
       "13        5.26  \n",
       "30       49.92  \n",
       "24       17.33  \n",
       "31       27.86  \n",
       "23        2.47  \n",
       "15       14.54  \n",
       "2        30.89  \n",
       "6        11.13  \n",
       "14       24.50  \n",
       "10        6.64  \n",
       "35        5.28  \n",
       "4        26.12  \n",
       "8        18.24  \n",
       "9         3.70  \n",
       "27       25.93  \n",
       "18       21.06  \n",
       "34        3.70  \n",
       "16        5.90  \n",
       "5        34.84  \n",
       "22       35.02  \n",
       "3        16.19  \n",
       "20        3.16  \n",
       "7        12.28  \n",
       "21        5.76  \n",
       "1        10.52  \n",
       "28        4.85  \n",
       "26       12.78  \n",
       "33        8.15  \n",
       "32       13.49  \n",
       "0        16.48  \n",
       "11       39.58  \n",
       "36       15.85  \n",
       "12       15.14  "
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Grafico_2_1                             ## Aqui se pueden ver los datos con los que realizaré las segundas gráficas"
   ]
  },
  {
   "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>Nombre distrito</th>\n",
       "      <th>Centro</th>\n",
       "      <th>Trabajadores Sociales Total</th>\n",
       "      <th>Citas_atendidas_por_trabajador</th>\n",
       "      <th>Citas_proporcionadas_por_trabajador</th>\n",
       "      <th>Demandas_por_trabajador</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Ciudad Lineal</td>\n",
       "      <td>CSS Luis Vives</td>\n",
       "      <td>20</td>\n",
       "      <td>5.06</td>\n",
       "      <td>3.55</td>\n",
       "      <td>1.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Carabanchel</td>\n",
       "      <td>CSS Zaida</td>\n",
       "      <td>18</td>\n",
       "      <td>5.09</td>\n",
       "      <td>4.04</td>\n",
       "      <td>1.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Usera</td>\n",
       "      <td>CSS San Filiberto</td>\n",
       "      <td>18</td>\n",
       "      <td>4.77</td>\n",
       "      <td>3.34</td>\n",
       "      <td>1.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Villaverde</td>\n",
       "      <td>CSS Huerta de Villaverde</td>\n",
       "      <td>15</td>\n",
       "      <td>5.48</td>\n",
       "      <td>3.05</td>\n",
       "      <td>2.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Latina</td>\n",
       "      <td>CSS Fuerte de Navidad</td>\n",
       "      <td>13</td>\n",
       "      <td>5.40</td>\n",
       "      <td>5.70</td>\n",
       "      <td>0.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Villaverde</td>\n",
       "      <td>CSS Eduardo Minguito</td>\n",
       "      <td>10</td>\n",
       "      <td>6.93</td>\n",
       "      <td>5.26</td>\n",
       "      <td>4.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Moratalaz</td>\n",
       "      <td>CSS Fuente Carrantona</td>\n",
       "      <td>12</td>\n",
       "      <td>5.57</td>\n",
       "      <td>2.97</td>\n",
       "      <td>1.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Villa de Vallecas</td>\n",
       "      <td>CSS Villa de Vallecas</td>\n",
       "      <td>8</td>\n",
       "      <td>8.28</td>\n",
       "      <td>5.60</td>\n",
       "      <td>3.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Puente de Vallecas</td>\n",
       "      <td>CSS San Diego</td>\n",
       "      <td>12</td>\n",
       "      <td>5.48</td>\n",
       "      <td>4.49</td>\n",
       "      <td>0.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Latina</td>\n",
       "      <td>CSS Gallur</td>\n",
       "      <td>12</td>\n",
       "      <td>5.44</td>\n",
       "      <td>5.68</td>\n",
       "      <td>1.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Arganzuela</td>\n",
       "      <td>CSS José Villarreal</td>\n",
       "      <td>13</td>\n",
       "      <td>4.83</td>\n",
       "      <td>5.64</td>\n",
       "      <td>2.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Tetuan</td>\n",
       "      <td>CSS María Zayas</td>\n",
       "      <td>11</td>\n",
       "      <td>5.56</td>\n",
       "      <td>4.50</td>\n",
       "      <td>1.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Latina</td>\n",
       "      <td>CSS Los Yébenes</td>\n",
       "      <td>11</td>\n",
       "      <td>5.25</td>\n",
       "      <td>4.81</td>\n",
       "      <td>2.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Fuencarral-El pardo</td>\n",
       "      <td>CSS San Vicente de Paúl</td>\n",
       "      <td>8</td>\n",
       "      <td>6.84</td>\n",
       "      <td>4.51</td>\n",
       "      <td>0.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>San Blas-Canillejas</td>\n",
       "      <td>CSS Torre Arias</td>\n",
       "      <td>12</td>\n",
       "      <td>4.46</td>\n",
       "      <td>2.94</td>\n",
       "      <td>0.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Salamanca</td>\n",
       "      <td>CSS Guindalera</td>\n",
       "      <td>13</td>\n",
       "      <td>4.05</td>\n",
       "      <td>3.69</td>\n",
       "      <td>2.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Chamberí</td>\n",
       "      <td>CSS Marta Esquivias Tallada</td>\n",
       "      <td>15</td>\n",
       "      <td>3.49</td>\n",
       "      <td>2.89</td>\n",
       "      <td>1.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Fuencarral-El pardo</td>\n",
       "      <td>CSS Badalona</td>\n",
       "      <td>10</td>\n",
       "      <td>5.11</td>\n",
       "      <td>3.64</td>\n",
       "      <td>0.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Hortaleza</td>\n",
       "      <td>CSS Concepción Arenal</td>\n",
       "      <td>11</td>\n",
       "      <td>4.62</td>\n",
       "      <td>3.59</td>\n",
       "      <td>2.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Usera</td>\n",
       "      <td>CSS Loyola de Palacio</td>\n",
       "      <td>12</td>\n",
       "      <td>4.16</td>\n",
       "      <td>3.98</td>\n",
       "      <td>1.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>San Blas-Canillejas</td>\n",
       "      <td>CSS Pablo Casals</td>\n",
       "      <td>11</td>\n",
       "      <td>4.49</td>\n",
       "      <td>2.74</td>\n",
       "      <td>0.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Carabanchel</td>\n",
       "      <td>CSS Plaza Elíptica</td>\n",
       "      <td>9</td>\n",
       "      <td>5.44</td>\n",
       "      <td>4.34</td>\n",
       "      <td>0.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Chamartín</td>\n",
       "      <td>CSS Santa Hortensia</td>\n",
       "      <td>10</td>\n",
       "      <td>4.84</td>\n",
       "      <td>4.70</td>\n",
       "      <td>3.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Puente de Vallecas</td>\n",
       "      <td>CSS Pablo Neruda</td>\n",
       "      <td>11</td>\n",
       "      <td>4.33</td>\n",
       "      <td>3.49</td>\n",
       "      <td>3.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Retiro</td>\n",
       "      <td>CSS Retiro</td>\n",
       "      <td>9</td>\n",
       "      <td>5.13</td>\n",
       "      <td>3.42</td>\n",
       "      <td>1.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Puente de Vallecas</td>\n",
       "      <td>CSS Ramón Pérez De Ayala</td>\n",
       "      <td>11</td>\n",
       "      <td>4.12</td>\n",
       "      <td>3.27</td>\n",
       "      <td>0.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Tetuan</td>\n",
       "      <td>CSS Vicente Ferrer</td>\n",
       "      <td>9</td>\n",
       "      <td>4.93</td>\n",
       "      <td>3.81</td>\n",
       "      <td>1.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Puente de Vallecas</td>\n",
       "      <td>CSS Entrevías</td>\n",
       "      <td>9</td>\n",
       "      <td>4.47</td>\n",
       "      <td>3.93</td>\n",
       "      <td>0.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Centro</td>\n",
       "      <td>CSS Puerta de Toledo</td>\n",
       "      <td>14</td>\n",
       "      <td>2.72</td>\n",
       "      <td>2.88</td>\n",
       "      <td>0.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Hortaleza</td>\n",
       "      <td>CSS El Querol</td>\n",
       "      <td>6</td>\n",
       "      <td>4.91</td>\n",
       "      <td>3.96</td>\n",
       "      <td>0.81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Ciudad Lineal</td>\n",
       "      <td>CSS Santa Felicidad</td>\n",
       "      <td>6</td>\n",
       "      <td>4.80</td>\n",
       "      <td>3.77</td>\n",
       "      <td>2.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Vicalvaro</td>\n",
       "      <td>CSS Valdebernardo</td>\n",
       "      <td>8</td>\n",
       "      <td>3.30</td>\n",
       "      <td>3.21</td>\n",
       "      <td>1.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Vicalvaro</td>\n",
       "      <td>CSS Calahorra</td>\n",
       "      <td>7</td>\n",
       "      <td>3.59</td>\n",
       "      <td>2.61</td>\n",
       "      <td>1.93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Centro</td>\n",
       "      <td>CSS Maravillas</td>\n",
       "      <td>8</td>\n",
       "      <td>3.12</td>\n",
       "      <td>4.68</td>\n",
       "      <td>2.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Moncloa-Aravaca</td>\n",
       "      <td>CSS Dehesa de la Villa</td>\n",
       "      <td>6</td>\n",
       "      <td>4.04</td>\n",
       "      <td>4.37</td>\n",
       "      <td>6.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Barajas</td>\n",
       "      <td>CSS Teresa de Calcuta</td>\n",
       "      <td>6</td>\n",
       "      <td>3.70</td>\n",
       "      <td>3.41</td>\n",
       "      <td>2.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Moncloa-Aravaca</td>\n",
       "      <td>CSS Infante Don Juan</td>\n",
       "      <td>5</td>\n",
       "      <td>4.41</td>\n",
       "      <td>4.94</td>\n",
       "      <td>3.03</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Nombre distrito                       Centro  \\\n",
       "25        Ciudad Lineal               CSS Luis Vives   \n",
       "17          Carabanchel                    CSS Zaida   \n",
       "19                Usera            CSS San Filiberto   \n",
       "29           Villaverde     CSS Huerta de Villaverde   \n",
       "13               Latina        CSS Fuerte de Navidad   \n",
       "30           Villaverde         CSS Eduardo Minguito   \n",
       "24            Moratalaz        CSS Fuente Carrantona   \n",
       "31    Villa de Vallecas        CSS Villa de Vallecas   \n",
       "23   Puente de Vallecas                CSS San Diego   \n",
       "15               Latina                   CSS Gallur   \n",
       "2            Arganzuela          CSS José Villarreal   \n",
       "6                Tetuan              CSS María Zayas   \n",
       "14               Latina              CSS Los Yébenes   \n",
       "10  Fuencarral-El pardo      CSS San Vicente de Paúl   \n",
       "35  San Blas-Canillejas              CSS Torre Arias   \n",
       "4             Salamanca               CSS Guindalera   \n",
       "8              Chamberí  CSS Marta Esquivias Tallada   \n",
       "9   Fuencarral-El pardo                 CSS Badalona   \n",
       "27            Hortaleza        CSS Concepción Arenal   \n",
       "18                Usera        CSS Loyola de Palacio   \n",
       "34  San Blas-Canillejas             CSS Pablo Casals   \n",
       "16          Carabanchel           CSS Plaza Elíptica   \n",
       "5             Chamartín          CSS Santa Hortensia   \n",
       "22   Puente de Vallecas             CSS Pablo Neruda   \n",
       "3                Retiro                   CSS Retiro   \n",
       "20   Puente de Vallecas     CSS Ramón Pérez De Ayala   \n",
       "7                Tetuan           CSS Vicente Ferrer   \n",
       "21   Puente de Vallecas                CSS Entrevías   \n",
       "1                Centro         CSS Puerta de Toledo   \n",
       "28            Hortaleza                CSS El Querol   \n",
       "26        Ciudad Lineal          CSS Santa Felicidad   \n",
       "33            Vicalvaro            CSS Valdebernardo   \n",
       "32            Vicalvaro                CSS Calahorra   \n",
       "0                Centro               CSS Maravillas   \n",
       "11      Moncloa-Aravaca       CSS Dehesa de la Villa   \n",
       "36              Barajas        CSS Teresa de Calcuta   \n",
       "12      Moncloa-Aravaca        CSS Infante Don Juan    \n",
       "\n",
       "    Trabajadores Sociales Total  Citas_atendidas_por_trabajador  \\\n",
       "25                           20                            5.06   \n",
       "17                           18                            5.09   \n",
       "19                           18                            4.77   \n",
       "29                           15                            5.48   \n",
       "13                           13                            5.40   \n",
       "30                           10                            6.93   \n",
       "24                           12                            5.57   \n",
       "31                            8                            8.28   \n",
       "23                           12                            5.48   \n",
       "15                           12                            5.44   \n",
       "2                            13                            4.83   \n",
       "6                            11                            5.56   \n",
       "14                           11                            5.25   \n",
       "10                            8                            6.84   \n",
       "35                           12                            4.46   \n",
       "4                            13                            4.05   \n",
       "8                            15                            3.49   \n",
       "9                            10                            5.11   \n",
       "27                           11                            4.62   \n",
       "18                           12                            4.16   \n",
       "34                           11                            4.49   \n",
       "16                            9                            5.44   \n",
       "5                            10                            4.84   \n",
       "22                           11                            4.33   \n",
       "3                             9                            5.13   \n",
       "20                           11                            4.12   \n",
       "7                             9                            4.93   \n",
       "21                            9                            4.47   \n",
       "1                            14                            2.72   \n",
       "28                            6                            4.91   \n",
       "26                            6                            4.80   \n",
       "33                            8                            3.30   \n",
       "32                            7                            3.59   \n",
       "0                             8                            3.12   \n",
       "11                            6                            4.04   \n",
       "36                            6                            3.70   \n",
       "12                            5                            4.41   \n",
       "\n",
       "    Citas_proporcionadas_por_trabajador  Demandas_por_trabajador  \n",
       "25                                 3.55                     1.54  \n",
       "17                                 4.04                     1.24  \n",
       "19                                 3.34                     1.43  \n",
       "29                                 3.05                     2.15  \n",
       "13                                 5.70                     0.40  \n",
       "30                                 5.26                     4.99  \n",
       "24                                 2.97                     1.44  \n",
       "31                                 5.60                     3.48  \n",
       "23                                 4.49                     0.21  \n",
       "15                                 5.68                     1.21  \n",
       "2                                  5.64                     2.38  \n",
       "6                                  4.50                     1.01  \n",
       "14                                 4.81                     2.23  \n",
       "10                                 4.51                     0.83  \n",
       "35                                 2.94                     0.44  \n",
       "4                                  3.69                     2.01  \n",
       "8                                  2.89                     1.22  \n",
       "9                                  3.64                     0.37  \n",
       "27                                 3.59                     2.36  \n",
       "18                                 3.98                     1.76  \n",
       "34                                 2.74                     0.34  \n",
       "16                                 4.34                     0.66  \n",
       "5                                  4.70                     3.48  \n",
       "22                                 3.49                     3.18  \n",
       "3                                  3.42                     1.80  \n",
       "20                                 3.27                     0.29  \n",
       "7                                  3.81                     1.36  \n",
       "21                                 3.93                     0.64  \n",
       "1                                  2.88                     0.75  \n",
       "28                                 3.96                     0.81  \n",
       "26                                 3.77                     2.13  \n",
       "33                                 3.21                     1.02  \n",
       "32                                 2.61                     1.93  \n",
       "0                                  4.68                     2.06  \n",
       "11                                 4.37                     6.60  \n",
       "36                                 3.41                     2.64  \n",
       "12                                 4.94                     3.03  "
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Grafico_2_1['Citas_atendidas_por_trabajador']=round(Grafico_2_1['N_personas_atendidas']/Grafico_2_1['Trabajadores Sociales Total'],2)\n",
    "\n",
    "Grafico_2_1['Citas_proporcionadas_por_trabajador']=round(Grafico_2_1['N_citas_proporcionadas']/Grafico_2_1['Trabajadores Sociales Total'],2)\n",
    "\n",
    "Grafico_2_1['Demandas_por_trabajador']=round(Grafico_2_1['N_demandas']/Grafico_2_1['Trabajadores Sociales Total'],2)\n",
    "\n",
    "Grafico_2_2=Grafico_2_1[['Nombre distrito','Centro','Trabajadores Sociales Total','Citas_atendidas_por_trabajador','Citas_proporcionadas_por_trabajador','Demandas_por_trabajador']]\n",
    "\n",
    "Grafico_2_1.drop(['Citas_atendidas_por_trabajador','Citas_proporcionadas_por_trabajador','Demandas_por_trabajador'],axis=1,inplace=True)\n",
    "\n",
    "Grafico_2_2                                             ## Aqui se puede ver los mismos datos pero referenciados por cada Trabajador Social"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Vamos a hacer un mapa con los distintos centros sociales existentes en la ciudad de Madrid donde agregaremos la información de las tablas anteriores."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_8= pd.read_csv('Data\\Outcomes\\df_8.csv')                                                      ##Los datos que aparecen aquí están tomados directamente de Google Maps y anotados en un fichero \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "mapa_css=pd.merge(Grafico_2_2,df_8)  "
   ]
  },
  {
   "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>Nombre distrito</th>\n",
       "      <th>Centro</th>\n",
       "      <th>Trabajadores Sociales Total</th>\n",
       "      <th>Citas_atendidas_por_trabajador</th>\n",
       "      <th>Citas_proporcionadas_por_trabajador</th>\n",
       "      <th>Demandas_por_trabajador</th>\n",
       "      <th>Codigo distrito</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Ciudad Lineal</td>\n",
       "      <td>CSS Luis Vives</td>\n",
       "      <td>20</td>\n",
       "      <td>5.06</td>\n",
       "      <td>3.55</td>\n",
       "      <td>1.54</td>\n",
       "      <td>15</td>\n",
       "      <td>40.425017</td>\n",
       "      <td>-3.628440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Carabanchel</td>\n",
       "      <td>CSS Zaida</td>\n",
       "      <td>18</td>\n",
       "      <td>5.09</td>\n",
       "      <td>4.04</td>\n",
       "      <td>1.24</td>\n",
       "      <td>11</td>\n",
       "      <td>40.393442</td>\n",
       "      <td>-3.736259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Usera</td>\n",
       "      <td>CSS San Filiberto</td>\n",
       "      <td>18</td>\n",
       "      <td>4.77</td>\n",
       "      <td>3.34</td>\n",
       "      <td>1.43</td>\n",
       "      <td>12</td>\n",
       "      <td>40.386020</td>\n",
       "      <td>-3.715218</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Villaverde</td>\n",
       "      <td>CSS Huerta de Villaverde</td>\n",
       "      <td>15</td>\n",
       "      <td>5.48</td>\n",
       "      <td>3.05</td>\n",
       "      <td>2.15</td>\n",
       "      <td>17</td>\n",
       "      <td>40.348595</td>\n",
       "      <td>-3.711033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Latina</td>\n",
       "      <td>CSS Fuerte de Navidad</td>\n",
       "      <td>13</td>\n",
       "      <td>5.40</td>\n",
       "      <td>5.70</td>\n",
       "      <td>0.40</td>\n",
       "      <td>10</td>\n",
       "      <td>40.380625</td>\n",
       "      <td>-3.765628</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Villaverde</td>\n",
       "      <td>CSS Eduardo Minguito</td>\n",
       "      <td>10</td>\n",
       "      <td>6.93</td>\n",
       "      <td>5.26</td>\n",
       "      <td>4.99</td>\n",
       "      <td>17</td>\n",
       "      <td>40.348248</td>\n",
       "      <td>-3.686532</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Moratalaz</td>\n",
       "      <td>CSS Fuente Carrantona</td>\n",
       "      <td>12</td>\n",
       "      <td>5.57</td>\n",
       "      <td>2.97</td>\n",
       "      <td>1.44</td>\n",
       "      <td>14</td>\n",
       "      <td>40.399828</td>\n",
       "      <td>-3.636298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Villa de Vallecas</td>\n",
       "      <td>CSS Villa de Vallecas</td>\n",
       "      <td>8</td>\n",
       "      <td>8.28</td>\n",
       "      <td>5.60</td>\n",
       "      <td>3.48</td>\n",
       "      <td>18</td>\n",
       "      <td>40.377442</td>\n",
       "      <td>-3.623138</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Puente de Vallecas</td>\n",
       "      <td>CSS San Diego</td>\n",
       "      <td>12</td>\n",
       "      <td>5.48</td>\n",
       "      <td>4.49</td>\n",
       "      <td>0.21</td>\n",
       "      <td>13</td>\n",
       "      <td>40.388877</td>\n",
       "      <td>-3.663756</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Latina</td>\n",
       "      <td>CSS Gallur</td>\n",
       "      <td>12</td>\n",
       "      <td>5.44</td>\n",
       "      <td>5.68</td>\n",
       "      <td>1.21</td>\n",
       "      <td>10</td>\n",
       "      <td>40.397410</td>\n",
       "      <td>-3.741546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Arganzuela</td>\n",
       "      <td>CSS José Villarreal</td>\n",
       "      <td>13</td>\n",
       "      <td>4.83</td>\n",
       "      <td>5.64</td>\n",
       "      <td>2.38</td>\n",
       "      <td>2</td>\n",
       "      <td>40.394735</td>\n",
       "      <td>-3.697807</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Tetuan</td>\n",
       "      <td>CSS María Zayas</td>\n",
       "      <td>11</td>\n",
       "      <td>5.56</td>\n",
       "      <td>4.50</td>\n",
       "      <td>1.01</td>\n",
       "      <td>6</td>\n",
       "      <td>40.459429</td>\n",
       "      <td>-3.701649</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Latina</td>\n",
       "      <td>CSS Los Yébenes</td>\n",
       "      <td>11</td>\n",
       "      <td>5.25</td>\n",
       "      <td>4.81</td>\n",
       "      <td>2.23</td>\n",
       "      <td>10</td>\n",
       "      <td>40.391362</td>\n",
       "      <td>-3.750178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Fuencarral-El pardo</td>\n",
       "      <td>CSS San Vicente de Paúl</td>\n",
       "      <td>8</td>\n",
       "      <td>6.84</td>\n",
       "      <td>4.51</td>\n",
       "      <td>0.83</td>\n",
       "      <td>8</td>\n",
       "      <td>40.472694</td>\n",
       "      <td>-3.716555</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>San Blas-Canillejas</td>\n",
       "      <td>CSS Torre Arias</td>\n",
       "      <td>12</td>\n",
       "      <td>4.46</td>\n",
       "      <td>2.94</td>\n",
       "      <td>0.44</td>\n",
       "      <td>20</td>\n",
       "      <td>40.446369</td>\n",
       "      <td>-3.612352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Salamanca</td>\n",
       "      <td>CSS Guindalera</td>\n",
       "      <td>13</td>\n",
       "      <td>4.05</td>\n",
       "      <td>3.69</td>\n",
       "      <td>2.01</td>\n",
       "      <td>4</td>\n",
       "      <td>40.433695</td>\n",
       "      <td>-3.669135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Chamberí</td>\n",
       "      <td>CSS Marta Esquivias Tallada</td>\n",
       "      <td>15</td>\n",
       "      <td>3.49</td>\n",
       "      <td>2.89</td>\n",
       "      <td>1.22</td>\n",
       "      <td>7</td>\n",
       "      <td>40.434877</td>\n",
       "      <td>-3.710378</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Fuencarral-El pardo</td>\n",
       "      <td>CSS Badalona</td>\n",
       "      <td>10</td>\n",
       "      <td>5.11</td>\n",
       "      <td>3.64</td>\n",
       "      <td>0.37</td>\n",
       "      <td>8</td>\n",
       "      <td>40.493832</td>\n",
       "      <td>-3.697114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Hortaleza</td>\n",
       "      <td>CSS Concepción Arenal</td>\n",
       "      <td>11</td>\n",
       "      <td>4.62</td>\n",
       "      <td>3.59</td>\n",
       "      <td>2.36</td>\n",
       "      <td>16</td>\n",
       "      <td>40.466586</td>\n",
       "      <td>-3.641912</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Usera</td>\n",
       "      <td>CSS Loyola de Palacio</td>\n",
       "      <td>12</td>\n",
       "      <td>4.16</td>\n",
       "      <td>3.98</td>\n",
       "      <td>1.76</td>\n",
       "      <td>12</td>\n",
       "      <td>40.366622</td>\n",
       "      <td>-3.691463</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>San Blas-Canillejas</td>\n",
       "      <td>CSS Pablo Casals</td>\n",
       "      <td>11</td>\n",
       "      <td>4.49</td>\n",
       "      <td>2.74</td>\n",
       "      <td>0.34</td>\n",
       "      <td>20</td>\n",
       "      <td>40.426427</td>\n",
       "      <td>-3.620319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Carabanchel</td>\n",
       "      <td>CSS Plaza Elíptica</td>\n",
       "      <td>9</td>\n",
       "      <td>5.44</td>\n",
       "      <td>4.34</td>\n",
       "      <td>0.66</td>\n",
       "      <td>11</td>\n",
       "      <td>40.386324</td>\n",
       "      <td>-3.717408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Chamartín</td>\n",
       "      <td>CSS Santa Hortensia</td>\n",
       "      <td>10</td>\n",
       "      <td>4.84</td>\n",
       "      <td>4.70</td>\n",
       "      <td>3.48</td>\n",
       "      <td>5</td>\n",
       "      <td>40.445203</td>\n",
       "      <td>-3.669250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Puente de Vallecas</td>\n",
       "      <td>CSS Pablo Neruda</td>\n",
       "      <td>11</td>\n",
       "      <td>4.33</td>\n",
       "      <td>3.49</td>\n",
       "      <td>3.18</td>\n",
       "      <td>13</td>\n",
       "      <td>40.385428</td>\n",
       "      <td>-3.644365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Retiro</td>\n",
       "      <td>CSS Retiro</td>\n",
       "      <td>9</td>\n",
       "      <td>5.13</td>\n",
       "      <td>3.42</td>\n",
       "      <td>1.80</td>\n",
       "      <td>3</td>\n",
       "      <td>40.414827</td>\n",
       "      <td>-3.667700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Puente de Vallecas</td>\n",
       "      <td>CSS Ramón Pérez De Ayala</td>\n",
       "      <td>11</td>\n",
       "      <td>4.12</td>\n",
       "      <td>3.27</td>\n",
       "      <td>0.29</td>\n",
       "      <td>13</td>\n",
       "      <td>40.401308</td>\n",
       "      <td>-3.653755</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Tetuan</td>\n",
       "      <td>CSS Vicente Ferrer</td>\n",
       "      <td>9</td>\n",
       "      <td>4.93</td>\n",
       "      <td>3.81</td>\n",
       "      <td>1.36</td>\n",
       "      <td>6</td>\n",
       "      <td>40.473418</td>\n",
       "      <td>-3.693980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Puente de Vallecas</td>\n",
       "      <td>CSS Entrevías</td>\n",
       "      <td>9</td>\n",
       "      <td>4.47</td>\n",
       "      <td>3.93</td>\n",
       "      <td>0.64</td>\n",
       "      <td>13</td>\n",
       "      <td>40.375874</td>\n",
       "      <td>-3.668516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Centro</td>\n",
       "      <td>CSS Puerta de Toledo</td>\n",
       "      <td>14</td>\n",
       "      <td>2.72</td>\n",
       "      <td>2.88</td>\n",
       "      <td>0.75</td>\n",
       "      <td>1</td>\n",
       "      <td>40.407875</td>\n",
       "      <td>-3.711562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Hortaleza</td>\n",
       "      <td>CSS El Querol</td>\n",
       "      <td>6</td>\n",
       "      <td>4.91</td>\n",
       "      <td>3.96</td>\n",
       "      <td>0.81</td>\n",
       "      <td>16</td>\n",
       "      <td>40.477264</td>\n",
       "      <td>-3.663224</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Ciudad Lineal</td>\n",
       "      <td>CSS Santa Felicidad</td>\n",
       "      <td>6</td>\n",
       "      <td>4.80</td>\n",
       "      <td>3.77</td>\n",
       "      <td>2.13</td>\n",
       "      <td>15</td>\n",
       "      <td>40.424499</td>\n",
       "      <td>-3.650183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Vicalvaro</td>\n",
       "      <td>CSS Valdebernardo</td>\n",
       "      <td>8</td>\n",
       "      <td>3.30</td>\n",
       "      <td>3.21</td>\n",
       "      <td>1.02</td>\n",
       "      <td>19</td>\n",
       "      <td>40.403204</td>\n",
       "      <td>-3.623377</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Vicalvaro</td>\n",
       "      <td>CSS Calahorra</td>\n",
       "      <td>7</td>\n",
       "      <td>3.59</td>\n",
       "      <td>2.61</td>\n",
       "      <td>1.93</td>\n",
       "      <td>19</td>\n",
       "      <td>40.407033</td>\n",
       "      <td>-3.612689</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Centro</td>\n",
       "      <td>CSS Maravillas</td>\n",
       "      <td>8</td>\n",
       "      <td>3.12</td>\n",
       "      <td>4.68</td>\n",
       "      <td>2.06</td>\n",
       "      <td>1</td>\n",
       "      <td>40.424819</td>\n",
       "      <td>-3.701468</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Moncloa-Aravaca</td>\n",
       "      <td>CSS Dehesa de la Villa</td>\n",
       "      <td>6</td>\n",
       "      <td>4.04</td>\n",
       "      <td>4.37</td>\n",
       "      <td>6.60</td>\n",
       "      <td>9</td>\n",
       "      <td>40.467185</td>\n",
       "      <td>-3.719468</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Barajas</td>\n",
       "      <td>CSS Teresa de Calcuta</td>\n",
       "      <td>6</td>\n",
       "      <td>3.70</td>\n",
       "      <td>3.41</td>\n",
       "      <td>2.64</td>\n",
       "      <td>21</td>\n",
       "      <td>40.455461</td>\n",
       "      <td>-3.587350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Moncloa-Aravaca</td>\n",
       "      <td>CSS Infante Don Juan</td>\n",
       "      <td>5</td>\n",
       "      <td>4.41</td>\n",
       "      <td>4.94</td>\n",
       "      <td>3.03</td>\n",
       "      <td>9</td>\n",
       "      <td>40.433278</td>\n",
       "      <td>-3.723295</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Nombre distrito                       Centro  \\\n",
       "0         Ciudad Lineal               CSS Luis Vives   \n",
       "1           Carabanchel                    CSS Zaida   \n",
       "2                 Usera            CSS San Filiberto   \n",
       "3            Villaverde     CSS Huerta de Villaverde   \n",
       "4                Latina        CSS Fuerte de Navidad   \n",
       "5            Villaverde         CSS Eduardo Minguito   \n",
       "6             Moratalaz        CSS Fuente Carrantona   \n",
       "7     Villa de Vallecas        CSS Villa de Vallecas   \n",
       "8    Puente de Vallecas                CSS San Diego   \n",
       "9                Latina                   CSS Gallur   \n",
       "10           Arganzuela          CSS José Villarreal   \n",
       "11               Tetuan              CSS María Zayas   \n",
       "12               Latina              CSS Los Yébenes   \n",
       "13  Fuencarral-El pardo      CSS San Vicente de Paúl   \n",
       "14  San Blas-Canillejas              CSS Torre Arias   \n",
       "15            Salamanca               CSS Guindalera   \n",
       "16             Chamberí  CSS Marta Esquivias Tallada   \n",
       "17  Fuencarral-El pardo                 CSS Badalona   \n",
       "18            Hortaleza        CSS Concepción Arenal   \n",
       "19                Usera        CSS Loyola de Palacio   \n",
       "20  San Blas-Canillejas             CSS Pablo Casals   \n",
       "21          Carabanchel           CSS Plaza Elíptica   \n",
       "22            Chamartín          CSS Santa Hortensia   \n",
       "23   Puente de Vallecas             CSS Pablo Neruda   \n",
       "24               Retiro                   CSS Retiro   \n",
       "25   Puente de Vallecas     CSS Ramón Pérez De Ayala   \n",
       "26               Tetuan           CSS Vicente Ferrer   \n",
       "27   Puente de Vallecas                CSS Entrevías   \n",
       "28               Centro         CSS Puerta de Toledo   \n",
       "29            Hortaleza                CSS El Querol   \n",
       "30        Ciudad Lineal          CSS Santa Felicidad   \n",
       "31            Vicalvaro            CSS Valdebernardo   \n",
       "32            Vicalvaro                CSS Calahorra   \n",
       "33               Centro               CSS Maravillas   \n",
       "34      Moncloa-Aravaca       CSS Dehesa de la Villa   \n",
       "35              Barajas        CSS Teresa de Calcuta   \n",
       "36      Moncloa-Aravaca        CSS Infante Don Juan    \n",
       "\n",
       "    Trabajadores Sociales Total  Citas_atendidas_por_trabajador  \\\n",
       "0                            20                            5.06   \n",
       "1                            18                            5.09   \n",
       "2                            18                            4.77   \n",
       "3                            15                            5.48   \n",
       "4                            13                            5.40   \n",
       "5                            10                            6.93   \n",
       "6                            12                            5.57   \n",
       "7                             8                            8.28   \n",
       "8                            12                            5.48   \n",
       "9                            12                            5.44   \n",
       "10                           13                            4.83   \n",
       "11                           11                            5.56   \n",
       "12                           11                            5.25   \n",
       "13                            8                            6.84   \n",
       "14                           12                            4.46   \n",
       "15                           13                            4.05   \n",
       "16                           15                            3.49   \n",
       "17                           10                            5.11   \n",
       "18                           11                            4.62   \n",
       "19                           12                            4.16   \n",
       "20                           11                            4.49   \n",
       "21                            9                            5.44   \n",
       "22                           10                            4.84   \n",
       "23                           11                            4.33   \n",
       "24                            9                            5.13   \n",
       "25                           11                            4.12   \n",
       "26                            9                            4.93   \n",
       "27                            9                            4.47   \n",
       "28                           14                            2.72   \n",
       "29                            6                            4.91   \n",
       "30                            6                            4.80   \n",
       "31                            8                            3.30   \n",
       "32                            7                            3.59   \n",
       "33                            8                            3.12   \n",
       "34                            6                            4.04   \n",
       "35                            6                            3.70   \n",
       "36                            5                            4.41   \n",
       "\n",
       "    Citas_proporcionadas_por_trabajador  Demandas_por_trabajador  \\\n",
       "0                                  3.55                     1.54   \n",
       "1                                  4.04                     1.24   \n",
       "2                                  3.34                     1.43   \n",
       "3                                  3.05                     2.15   \n",
       "4                                  5.70                     0.40   \n",
       "5                                  5.26                     4.99   \n",
       "6                                  2.97                     1.44   \n",
       "7                                  5.60                     3.48   \n",
       "8                                  4.49                     0.21   \n",
       "9                                  5.68                     1.21   \n",
       "10                                 5.64                     2.38   \n",
       "11                                 4.50                     1.01   \n",
       "12                                 4.81                     2.23   \n",
       "13                                 4.51                     0.83   \n",
       "14                                 2.94                     0.44   \n",
       "15                                 3.69                     2.01   \n",
       "16                                 2.89                     1.22   \n",
       "17                                 3.64                     0.37   \n",
       "18                                 3.59                     2.36   \n",
       "19                                 3.98                     1.76   \n",
       "20                                 2.74                     0.34   \n",
       "21                                 4.34                     0.66   \n",
       "22                                 4.70                     3.48   \n",
       "23                                 3.49                     3.18   \n",
       "24                                 3.42                     1.80   \n",
       "25                                 3.27                     0.29   \n",
       "26                                 3.81                     1.36   \n",
       "27                                 3.93                     0.64   \n",
       "28                                 2.88                     0.75   \n",
       "29                                 3.96                     0.81   \n",
       "30                                 3.77                     2.13   \n",
       "31                                 3.21                     1.02   \n",
       "32                                 2.61                     1.93   \n",
       "33                                 4.68                     2.06   \n",
       "34                                 4.37                     6.60   \n",
       "35                                 3.41                     2.64   \n",
       "36                                 4.94                     3.03   \n",
       "\n",
       "    Codigo distrito        lat       lon  \n",
       "0                15  40.425017 -3.628440  \n",
       "1                11  40.393442 -3.736259  \n",
       "2                12  40.386020 -3.715218  \n",
       "3                17  40.348595 -3.711033  \n",
       "4                10  40.380625 -3.765628  \n",
       "5                17  40.348248 -3.686532  \n",
       "6                14  40.399828 -3.636298  \n",
       "7                18  40.377442 -3.623138  \n",
       "8                13  40.388877 -3.663756  \n",
       "9                10  40.397410 -3.741546  \n",
       "10                2  40.394735 -3.697807  \n",
       "11                6  40.459429 -3.701649  \n",
       "12               10  40.391362 -3.750178  \n",
       "13                8  40.472694 -3.716555  \n",
       "14               20  40.446369 -3.612352  \n",
       "15                4  40.433695 -3.669135  \n",
       "16                7  40.434877 -3.710378  \n",
       "17                8  40.493832 -3.697114  \n",
       "18               16  40.466586 -3.641912  \n",
       "19               12  40.366622 -3.691463  \n",
       "20               20  40.426427 -3.620319  \n",
       "21               11  40.386324 -3.717408  \n",
       "22                5  40.445203 -3.669250  \n",
       "23               13  40.385428 -3.644365  \n",
       "24                3  40.414827 -3.667700  \n",
       "25               13  40.401308 -3.653755  \n",
       "26                6  40.473418 -3.693980  \n",
       "27               13  40.375874 -3.668516  \n",
       "28                1  40.407875 -3.711562  \n",
       "29               16  40.477264 -3.663224  \n",
       "30               15  40.424499 -3.650183  \n",
       "31               19  40.403204 -3.623377  \n",
       "32               19  40.407033 -3.612689  \n",
       "33                1  40.424819 -3.701468  \n",
       "34                9  40.467185 -3.719468  \n",
       "35               21  40.455461 -3.587350  \n",
       "36                9  40.433278 -3.723295  "
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mapa_css"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      Color      Nombre distrito                       Centro  \\\n",
      "0   #cc0000        Ciudad Lineal               CSS Luis Vives   \n",
      "1   #cc0000          Carabanchel                    CSS Zaida   \n",
      "2   #cc0000                Usera            CSS San Filiberto   \n",
      "3   #fc0000           Villaverde     CSS Huerta de Villaverde   \n",
      "4   #fc0000               Latina        CSS Fuerte de Navidad   \n",
      "5   #fc0000           Villaverde         CSS Eduardo Minguito   \n",
      "6   #ff0000            Moratalaz        CSS Fuente Carrantona   \n",
      "7   #ff0000    Villa de Vallecas        CSS Villa de Vallecas   \n",
      "8   #ff8000   Puente de Vallecas                CSS San Diego   \n",
      "9   #ff9933               Latina                   CSS Gallur   \n",
      "10  #ff9933           Arganzuela          CSS José Villarreal   \n",
      "11  #999900               Tetuan              CSS María Zayas   \n",
      "12  #999900               Latina              CSS Los Yébenes   \n",
      "13  #336600  Fuencarral-El pardo      CSS San Vicente de Paúl   \n",
      "14  #336600  San Blas-Canillejas              CSS Torre Arias   \n",
      "15  #00ff00            Salamanca               CSS Guindalera   \n",
      "16  #00ff00             Chamberí  CSS Marta Esquivias Tallada   \n",
      "17  #33ffff  Fuencarral-El pardo                 CSS Badalona   \n",
      "18  #33ffff            Hortaleza        CSS Concepción Arenal   \n",
      "19  #00cccc                Usera        CSS Loyola de Palacio   \n",
      "20  #00cccc  San Blas-Canillejas             CSS Pablo Casals   \n",
      "21  #0080ff          Carabanchel           CSS Plaza Elíptica   \n",
      "22  #0080ff            Chamartín          CSS Santa Hortensia   \n",
      "23  #0000ff   Puente de Vallecas             CSS Pablo Neruda   \n",
      "24  #0000ff               Retiro                   CSS Retiro   \n",
      "25  #0000ff   Puente de Vallecas     CSS Ramón Pérez De Ayala   \n",
      "26  #0000cc               Tetuan           CSS Vicente Ferrer   \n",
      "27  #0000cc   Puente de Vallecas                CSS Entrevías   \n",
      "28  #0000cc               Centro         CSS Puerta de Toledo   \n",
      "29  #004c99            Hortaleza                CSS El Querol   \n",
      "30  #004c99        Ciudad Lineal          CSS Santa Felicidad   \n",
      "31  #004c99            Vicalvaro            CSS Valdebernardo   \n",
      "32  #000099            Vicalvaro                CSS Calahorra   \n",
      "33  #000099               Centro               CSS Maravillas   \n",
      "34  #000066      Moncloa-Aravaca       CSS Dehesa de la Villa   \n",
      "35  #000066              Barajas        CSS Teresa de Calcuta   \n",
      "36  #000066      Moncloa-Aravaca        CSS Infante Don Juan    \n",
      "\n",
      "    Trabajadores Sociales Total  Citas_atendidas_por_trabajador  \\\n",
      "0                            20                            5.06   \n",
      "1                            18                            5.09   \n",
      "2                            18                            4.77   \n",
      "3                            15                            5.48   \n",
      "4                            13                            5.40   \n",
      "5                            10                            6.93   \n",
      "6                            12                            5.57   \n",
      "7                             8                            8.28   \n",
      "8                            12                            5.48   \n",
      "9                            12                            5.44   \n",
      "10                           13                            4.83   \n",
      "11                           11                            5.56   \n",
      "12                           11                            5.25   \n",
      "13                            8                            6.84   \n",
      "14                           12                            4.46   \n",
      "15                           13                            4.05   \n",
      "16                           15                            3.49   \n",
      "17                           10                            5.11   \n",
      "18                           11                            4.62   \n",
      "19                           12                            4.16   \n",
      "20                           11                            4.49   \n",
      "21                            9                            5.44   \n",
      "22                           10                            4.84   \n",
      "23                           11                            4.33   \n",
      "24                            9                            5.13   \n",
      "25                           11                            4.12   \n",
      "26                            9                            4.93   \n",
      "27                            9                            4.47   \n",
      "28                           14                            2.72   \n",
      "29                            6                            4.91   \n",
      "30                            6                            4.80   \n",
      "31                            8                            3.30   \n",
      "32                            7                            3.59   \n",
      "33                            8                            3.12   \n",
      "34                            6                            4.04   \n",
      "35                            6                            3.70   \n",
      "36                            5                            4.41   \n",
      "\n",
      "    Citas_proporcionadas_por_trabajador  Demandas_por_trabajador  \\\n",
      "0                                  3.55                     1.54   \n",
      "1                                  4.04                     1.24   \n",
      "2                                  3.34                     1.43   \n",
      "3                                  3.05                     2.15   \n",
      "4                                  5.70                     0.40   \n",
      "5                                  5.26                     4.99   \n",
      "6                                  2.97                     1.44   \n",
      "7                                  5.60                     3.48   \n",
      "8                                  4.49                     0.21   \n",
      "9                                  5.68                     1.21   \n",
      "10                                 5.64                     2.38   \n",
      "11                                 4.50                     1.01   \n",
      "12                                 4.81                     2.23   \n",
      "13                                 4.51                     0.83   \n",
      "14                                 2.94                     0.44   \n",
      "15                                 3.69                     2.01   \n",
      "16                                 2.89                     1.22   \n",
      "17                                 3.64                     0.37   \n",
      "18                                 3.59                     2.36   \n",
      "19                                 3.98                     1.76   \n",
      "20                                 2.74                     0.34   \n",
      "21                                 4.34                     0.66   \n",
      "22                                 4.70                     3.48   \n",
      "23                                 3.49                     3.18   \n",
      "24                                 3.42                     1.80   \n",
      "25                                 3.27                     0.29   \n",
      "26                                 3.81                     1.36   \n",
      "27                                 3.93                     0.64   \n",
      "28                                 2.88                     0.75   \n",
      "29                                 3.96                     0.81   \n",
      "30                                 3.77                     2.13   \n",
      "31                                 3.21                     1.02   \n",
      "32                                 2.61                     1.93   \n",
      "33                                 4.68                     2.06   \n",
      "34                                 4.37                     6.60   \n",
      "35                                 3.41                     2.64   \n",
      "36                                 4.94                     3.03   \n",
      "\n",
      "    Codigo distrito        lat       lon  \n",
      "0                15  40.425017 -3.628440  \n",
      "1                11  40.393442 -3.736259  \n",
      "2                12  40.386020 -3.715218  \n",
      "3                17  40.348595 -3.711033  \n",
      "4                10  40.380625 -3.765628  \n",
      "5                17  40.348248 -3.686532  \n",
      "6                14  40.399828 -3.636298  \n",
      "7                18  40.377442 -3.623138  \n",
      "8                13  40.388877 -3.663756  \n",
      "9                10  40.397410 -3.741546  \n",
      "10                2  40.394735 -3.697807  \n",
      "11                6  40.459429 -3.701649  \n",
      "12               10  40.391362 -3.750178  \n",
      "13                8  40.472694 -3.716555  \n",
      "14               20  40.446369 -3.612352  \n",
      "15                4  40.433695 -3.669135  \n",
      "16                7  40.434877 -3.710378  \n",
      "17                8  40.493832 -3.697114  \n",
      "18               16  40.466586 -3.641912  \n",
      "19               12  40.366622 -3.691463  \n",
      "20               20  40.426427 -3.620319  \n",
      "21               11  40.386324 -3.717408  \n",
      "22                5  40.445203 -3.669250  \n",
      "23               13  40.385428 -3.644365  \n",
      "24                3  40.414827 -3.667700  \n",
      "25               13  40.401308 -3.653755  \n",
      "26                6  40.473418 -3.693980  \n",
      "27               13  40.375874 -3.668516  \n",
      "28                1  40.407875 -3.711562  \n",
      "29               16  40.477264 -3.663224  \n",
      "30               15  40.424499 -3.650183  \n",
      "31               19  40.403204 -3.623377  \n",
      "32               19  40.407033 -3.612689  \n",
      "33                1  40.424819 -3.701468  \n",
      "34                9  40.467185 -3.719468  \n",
      "35               21  40.455461 -3.587350  \n",
      "36                9  40.433278 -3.723295  \n"
     ]
    }
   ],
   "source": [
    "mapa_css.insert(0,\"Color\",paleta_centro,True)                                           ##  Agregamos la paleta de colores por centro para tener un gráfico dónde se marquen esta referencia\n",
    "\n",
    "print(mapa_css)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 37 entries, 0 to 36\n",
      "Data columns (total 10 columns):\n",
      " #   Column                               Non-Null Count  Dtype \n",
      "---  ------                               --------------  ----- \n",
      " 0   Color                                37 non-null     object\n",
      " 1   Nombre distrito                      37 non-null     object\n",
      " 2   Centro                               37 non-null     object\n",
      " 3   Trabajadores Sociales Total          37 non-null     object\n",
      " 4   Citas_atendidas_por_trabajador       37 non-null     object\n",
      " 5   Citas_proporcionadas_por_trabajador  37 non-null     object\n",
      " 6   Demandas_por_trabajador              37 non-null     object\n",
      " 7   Codigo distrito                      37 non-null     object\n",
      " 8   lat                                  37 non-null     object\n",
      " 9   lon                                  37 non-null     object\n",
      "dtypes: object(10)\n",
      "memory usage: 3.2+ KB\n"
     ]
    }
   ],
   "source": [
    "mapa_css=mapa_css.applymap(str)                 ##  Vamos a pasar todos los datos a \"STRING\" para poder hacer que aparezcan en el mapa\n",
    "\n",
    "mapa_css.info()                                 ##  y verificamos que se han convertido todos los \"INT\" Y \"FLOAT\" a STR"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4.- Graficas"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### GRAFICA 1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1.- Primera opción de Gráfica"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2160x1080 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(30,15))\n",
    "sns.barplot(x=Grafico_1_1['Nombre distrito'],\n",
    "                y=Grafico_1_1['Renta neta media por hogar']\n",
    "                ,palette=paleta_distrito)\n",
    "plt.xticks(rotation=45, fontsize=10)\n",
    "plt.title('Renta media por Distrito',fontsize=20);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2.- Segunda opción de Gráfica"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,10))\n",
    "squarify.plot(sizes=Grafico_1_1['Renta neta media por hogar'], label=Grafico_1_1['Nombre distrito'], alpha=.6,color=paleta_distrito,text_kwargs={'fontsize': 17,'color':'w'})\n",
    "plt.axis('off')\n",
    "plt.title('Renta media por Distrito');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Tras haber realizado una gráfica de barras y un Treemap, hemos decidido representar mejor los resultados en esta última opción, donde los colores representan las rentas medias más bajas por hogar.\n",
    "\n",
    "Los colores van desde el rojo para rentas medias más bajas hasta azules para las rentas medias más altas."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### GRAFICA 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2160x1080 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "dark"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(30,15))\n",
    "sns.barplot(x=Grafico_1_1['Nombre distrito'],\n",
    "                y=Grafico_1_1['Trabajadores Sociales Total'],\n",
    "                palette=paleta_distrito )\n",
    "plt.yticks(fontsize=15,color='w')\n",
    "plt.xticks(rotation=45, fontsize=15,color='w')\n",
    "plt.title('Número de Trabajadores Sociales por Distrito',fontsize=30,color='w');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### GRAFICA 3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Primeramente haremos un heatmap para observar la correlación existente entre las distintas variales"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x1080 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,15))\n",
    "\n",
    "sns.heatmap(Grafico_2_1.corr(),\n",
    "            annot=True,\n",
    "            linewidths=.5,\n",
    "            vmin=-1,\n",
    "            vmax=1)\n",
    "\n",
    "plt.yticks(fontsize=10,color='black')\n",
    "\n",
    "plt.xticks(fontsize=10,color='black');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Se observa que __hay correlación__ entre las citas proporcionadas, las citas atendidas y el número de Trabajadores Sociales que hay en cada centro.\n",
    "\n",
    "También se observa que __hay poca correlación__ con las demandas atendidas en cada Centro de Atención Primaria de los Servicios Sociales."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### GRAFICA 4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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JBQAAAAA3moYjJvolJ2taQYE+KC2VZJfVndGFnjG9SclXv3rQtg2vvaZAebkkKfOvf1XJyy8ftM/o8nLtCO7z3re+payIkVBDHn7Y81jR8+3cuVM//OEPnfWLLrpIp59+erePO27cOO3cuVOS3Ti8K72gAAAAAPR+jHBCzISV1QUTTwi3o6rKWR4ebLQeaVxurrO84cCBmMeEni8QCOg73/mOKioqJNmj5372s595cmx3gmnDhg2eHBMAAABA70PCCTHjbhz+cVmZmgIBH6NJPDWNjSqvr5ckpSQlaVB6etT9xubkOMubSDihAx566CEtWLBAkpSUlKR7771XWa0kNDvLnXCicTgAAACA1pBwQswMz8pSYf/+kqS6piZ9umePzxEllh2uvlZD+/dXclL0r+NY1winjSSc0I41a9bo5z//ubN+zTXXaNasWZ4d351w2rRpk2fHBQAAANC7kHBCzFiWpemFhc76cmarC7PTlXAaFkzMReMuqdtSWalGRoqhFQ0NDbr22mvV0NAgSZo2bZq+973veXqOsWPHOsuMcAIAAADQGhJOiCl3H6fl9HEK4044DW8j4ZSVmqrCzExJUlMgoG2VlTGPDT3Tr3/9a61atUqS1K9fP913331KTU319BzDhw9XWlqaJGn37t1OnygAAAAAcCPhhJg6rKBAKcFSseIDB7S3ttbniBJHR0c4SeGjnCirQzSLFy/W/fff76z/5Cc/0cSJEz0/T3JyctgoJ8rqAAAAAEST4ncA6N0yUlM1ddAgfVxWJklaVlKiU4uKfI4qMbhnqGsv4TQ+N1eLdu2SZCecTm7n2CVf/Wp3w4tqyMMPx+S46J6Kigpdd911MsZIko477jhdeeWVMTvf2LFjtWbNGkl2Wd0RRxwRs3MBAAAA6JkY4YSYo49TdO6m4cPbmUEsrHE4JUyIcMstt2jHjh2SpNzcXP32t79VUitN6L3ATHUAAAAA2kPCCTHn7uP0UVmZmmh6LalzJXVjc3KcZUrq4Pbiiy/qqaeectZ/9atfaYjrOxcLzFQHAAAAoD0knBBzo3JyNDAjQ5JU3diotfv2+RyR/yobGlQZnEksLTlZg9LT29yfmeoQTWlpqX7wgx846+eff77OPvvsmJ/XnXDasGFDzM8HAAAAoOch4YSYsywrbJTTMsrqwkY3De3fX5Zltbl//9RUDQmOgmoOBLSVmer6PGOMbrjhBpWXl0uyZ4+7884743LuyBFOARKgAAAAACKQcEJcTHclnOjjFNG/qZ1yuhBmqoPbo48+qnfeeUeSndS99957leMqvYylvLw85efnS5Lq6upUwncaAAAAQAQSToiLwwsKlBwcxbOxvFxlwVnr+qqd3Uw4bSLh1KetX79et99+u7P+jW98Q3PmzIlrDGPHjnWWaRwOAAAAIBIJJ8RFVlqaJg8c6KzPnz/fx2j8t6Oqyllub4a6kHGu0SsbSDj1aTfeeKPq6+slSZMnT9ZNN90U9xjo4wQAAACgLSScEDfusrq33nrLx0j8F9nDqSPGukvqKio8jwk9w7Zt27R8+XJJUmpqqn7/+98rLS0t7nGMHz/eWWamOgAAAACRSDghbtyNw+fPn6/m5mYfo/GXO+E0rKMlda4RTluZqa7PWrRokbN89NFHa/Lkyb7EQUkdAAAAgLaQcELcFOXmakB6uiSpvLxcH3/8sc8R+cMY06UeTpmpqc5oqOZAQFuYqa5Pikw4+cVdUkfCCQAAAEAkEk6IG8uyNL2w0Fl/++23fYzGPwcaGlTd2ChJSk9J0YB+/Tr8WGaq69uMMVq4cKGzPnfuXN9iGTNmjJKS7H9Ctm/f7vSUAgAAAACJhBPizN3Hqa8mnCJHN1nB2fs6gpnq+ratW7dq586dkqSsrCxNmzbNt1jS0tI0cuRISXYibPPmzb7FAgAAACDxkHBCXB1ZWOgkWD788EPt27fP54jiryv9m0KYqa5vc5fTzZ49WykpKT5GE15WR+NwAAAAAG4knBBX2WlpmjRggCR7VMS7777rc0Txt6OqylnubMJpLCV1fZq7nG7OnDk+RmKjjxMAAACA1pBwQty5Z6t76623fIzEH2EjnLKyOvXYsa4RTtuqqtTQh2f662uMMQnTMDyEmeoAAAAAtIaEE+LO3cfpnXfeUSAQ8DGa+NvhSjiN6OQIp8zUVGdUFDPV9S3FxcUqKSmRJGVnZ+vQQw/1OSJGOAEAAABoHQknxN34AQOUn58vSdqzZ49Wrlzpc0Tx1Z0eTlJE4/CKCk9iQuJzl9N95jOfUXJyso/R2Eg4AQAAAGiNvx1n0SclWZbmzZunZ555RpI9W91hhx3mc1TxYYzpdsJpbG6u/hecqSxR+jiVfvWrMTlu4cMPx+S4PZG7nG7u3Lk+RtJiyJAhyszMVE1NjcrLy7Vv3z4nmQwAAACgb2OEE3xx4oknOst9qY/Tvvp61TU1SZKyUlOVk5bW6WOMp3F4n5OI/ZskybKssD5OzFQHAAAAIISEE3xx/PHHy7IsSdLy5ct1oI8kTtwz1A3t3995DTrDXVK3oY+8bn3dxo0bVVZWJknKycnR5MmTfY6oBY3DAQAAAERDwgm+GDhwoA4//HBJUiAQ0LvvvutzRPGxq6bGWR7eyRnqQsa4ZqrbXlWlhoaGbseFxOYe3TRnzpyE6N8UMn78eGd5w4YNPkYCAAAAIJGQcIJvTjjhBGf57bff9jGS+NnpGuHUlf5NkpSZkuIkq5oDAUaV9AGJWE4X4m4cTkkdAAAAgBCahsM3J5xwgu655x5JdsLpokMP7VKJWU+yw9UwfHgXE06SXVYXKs9bt25dQpVYxVpfa1Ae2b8pURqGh1BSBwAAACAaRjjBN0cccYRyg/2ISktLVVxR4XNEsdfdGepCxrrK6tauXdutmJDY1q9frz179kiS8vLydMghh/gcUTh3wmnz5s1qbm72MRoAAAAAiYKEE3yTkpKi448/3llfXlLiYzTxsd1VUtfVHk5S+Ex1JJx6t4ULFzrLc+bMUVJSYv3azs7OVmFhoSSpsbFR27dv9zkiAAAAAImAkjr46oQTTtDzzz8vSVpWUqILJk3yOaLYCRgT1jS8OyOcxpFwipvSf8SohO+SjpXwLV682FlOtP5NIWPHjlVpaakku6xu9OjRPkcEAAAAwG+J9ady9Dnz5s1zllft2aOaxkb/gomxvXV1agyWG+X066es1NQuH2tMTo7T76q4uFj19fWexIjEEggEErp/U4i7cTh9nAAAAABIJJzgs8LCQk2dOlWS1GyMPi4r8zmi2NnhUf8mScpISXGajgcCAWYH66XWrl2rffv2SZLy8/M1ceJEnyOKjpnqAAAAAEQi4QTfnXDCCc7y8mBZTm+0w92/qZsJJ0kaS1ldr+cup5s7d27C9W8KYaY6AAAAAJES8+oFfcqJJ57oLC8rKZExxsdoYsc9Q50XCSf6OPV+7obhiVpOJ0njx493ljds2OBjJAAAAAASBU3D4bvp06crOztb+8rLtbumRtsqKzUqJ8fvsDy308OSOomEU2+075XbneVAIKAFr7+gQH2dJGlK0wfa98rWLh87/7T/63Z8rRk5cqRSUlLU1NSkkpISVVdXq78Hn3EAAAAAPRcjnOC71NRUHXvssc76spISH6OJHXdJnRcJp/EknHq1ddv26EC1nWwamJOpccMH+hxR61JSUsJmptu8ebOP0QAAAABIBCSckBDC+jj10oTTrpoaZ3lYVla3jzcmO9uZqW7Lli3MVNfLLFnVMppp1pSRznudqGgcDgAAAMCNhBMSgjvhtHLPHtU1NfkYjfeam5u1y+OSuvSUFI0IJq4CgQC9c3qZJau3OcszJ4/0MZKOoY8TAAAAADcSTkgIw4YNc/o2NQUCWrF7t88Reau0tFRNgYAkaUB6ujJTvGmfNtbV62rdunWeHBP+a24OaOnq7c767CmjfIymY5ipDgAAAIAbCSckjBlDhjjLva2sbuvWlvIoL2aoC6FxeO+0dutuVdbYJZIFef01ZugAnyNqHyV1AAAAANxIOCFhTHcnnEpLfYzEe9u2tZRHeVFOF0LCqXdasrolQTlzcuL3b5IOHuFkjPExGgAAAAB+I+GEhDF14EClB0vNdlVVaadrVreezj3CaaiHCSdmquudlqxqSVD2hHI6SRo0aJBygiWeVVVVKisr8zkiAAAAAH4i4YSEkZqcrMMKCpz1Zb2orG779pZ+PF6W1I3OzlZSkv013rJli+rq6jw7NvzR3BzQsjUtn5dZUxK/YbgkWZZFWR0AAAAABwknJJTpvbSPk7ukbnhwZjkvpKekaNQoewSMMYbZwXqB1VvKVFXbIEkqHJClUYV5/gbUCTQOBwAAABBCwgkJZXphobO8YvduNTQ3+xiNd2LVNFySJk2a5CwzU13P9/6qls/KrCk9o39TiHuEEwknAAAAoG8j4YSEMjQrS8OCI4Aampu1cs8enyPqvqamJu3atctZ97KHkxSecKKPU8+3dHXLaLhZPaR/UwgldQAAAABCSDgh4cxwldX1hj5OO3fuVHNwpFZBRob6JSd7enwSTr1HU3OzPli7w1mfNbln9G8KcSecKO8EAAAA+jYSTkg4va2Pk7t/k9ejmyRK6nqTTzeXOv2bhgzM1ojBue08IrEUFRU5y1u3blVjY6OP0QAAAADwEwknJJxpBQVKDc68tr2yUqXV1T5H1D1hDcNjkHAaN25c2Ex1tbW1np8D8eEup5vdw/o3SVJGRoaGDx8uSWpubg7rXQYAAACgbyHhhITTLzlZhxUUOOs9fZSTO+E0LAYJp379+mn06NGSmKmup1uyytW/aXLP6t8Uwkx1AAAAACQSTkhQYX2cSkt9jKT7wmaoCzZE9xpldT1fY2NjeP+mKT2rf1PI+PHjnWWSnwAAAEDfRcIJCcndx+njsjI1BQI+RtM9sR7hJNE4vDdYsWKFaurtnkfDC3I0vKBn9W8KYaY6AAAAAJKU4ncAQDTDsrI0pH9/lVRXq66pSZ/u2aPDBw/2O6wuiXUPJylKwimFr3ZPs3DhQmc5XrPT7Xvlds+POWjPZmeZkjoAAACg72KEExKSZVm9Yra6hoYGlQRjtyxLQ+KQcKKkrmdatGiRszxrSs/s3yRJRUPznWUSTgAAAEDfRcIJCWt6YaGzvLyH9nHauXOnjDGSpIKMDGf2Pa+NGzdOycnJkuyeUbVNTTE5D2KjsbFRS5cuddZnxmmEUywMHZittLQ0SdKePXtUUVHhc0QAAAAA/EDCCQnr8MGDlRJM0BQfOKA9NTU+R9R5YQ3DYzS6SZLS0tI0ZswYSfZMdZu5yO9RPvzwQ9XW1kqSRg7O1bBBOT5H1HVJSUnMVAcAAACAhBMSV3pKig4dNMhZ74mjnML6N8VohrqQiRMnOssbDxyI6bngrfByup47uinE3TichBMAAADQN5FwQkLr6X2c4jXCSQrv40TCqWfpLf2bQpipDgAAAAAJJyQ0dx+nD8vK1BQI+BhN57lHOA2LY8JpEyV1PUZDQ0NY/6Z4zVAXS5TUAQAAACDhhIQ2KidHgzIyJEk1jY1as3evzxF1TjwTTpTU9UwffPCB6uvrJUmjh+SpMD/b54i6j5I6AAAAACSckNAsywovq+thfZzimXByz1S3o6pKNcxU1yMsXLjQWZ7dC8rppINL6gI9bGQiAAAAgO4j4YSEN6OH9nGqq6tTWVmZJCk5OVmFmZkxPV9aWpqKioqc9c2McuoRFi9e7CzP7AXldJKUl5en/Px8Sfb3YNeuXT5HBAAAACDeSDgh4R0+eLCSLUuStLG8XPuC08cnuu3btzvLw4YNU0pS7L9ulNX1LPX19Vq2bJmz3lsSThKNwwEAAIC+joQTEl7/1FRNHjTIWf8wOGoo0bnL6UaOjE8iIWymOhqHJ7xly5apoaFBkjR+/HgNHpDlc0TecTcO37Bhg4+RAAAAAPADCSf0CDNcs9Ut6yFldVu3bnWW/Ug4bWKEU8Jzl9PNnTvXx0i8N378eGeZxuEAAABA35PidwBAR0wfMkSPrlwpSfqgtFTNgYCS41Ci1h0HjXD69NOYn5OSup7F3TDcTjh95FssXotWUvfUU1+MybkuvPCJmBwXAAAAQNcl9hU7EFSUm6v89HRJUlVDg9bt3+9zRO1zJ5xGjYrP7GPjxo1TSoqdR95ZXa2axsa4nBedV1tbqw8++MBZnzNnjo/ReM9dUscIJwAAAKDvIeGEHsGyLB3lKqv7oLTUx2g6xo8eTqmpqWEz1W2ij1PCWr58uRqDCcGJEyeqoKDA54i8NWbMGCUFRyFu375ddXV1PkcEAAAAIJ4SKeGUIumHktZLqpe0XdI9EftYkn4kaZukWknvSjoifiHCT9OHDHGWe0IfJ3cPp3iNcJIiGodTVpew3OV0Rx99tI+RxEZaWprzuTfGqLi42N+AAAAAAMRVIiWcHpV0naS7JJ0iO/lUG7HPDyXdIulXkj4nqUrSG5KGCL3eUYWFsixLkrR+3z4dqK/3OaLWVVdXa9++fZLsUUeDBw+O27ndfZwY4ZS4Fi1a5Cz3tnK6EMrqAAAAgL4rURJOp0m6SNJnJf1Z0nxJj8sezRSSLjvh9AtJv5edaLpQkpF0bTyDhT+y0tJ0SH6+JPtN/zCBy+rc5XTDhw9XcnJy3M5N4/DEV1PfpI8++shZ720z1IW4G4eTcAIAAAD6lkRJOH1F0luSVrWxz1xJOZL+5dpWLekFSafHLjQkEndZ3fIELqvzo39TCCV1ie+jTbud/k2TJ09WfjCR2ttEm6kOAAAAQN+QKAmn2ZLWyR65VCGpRtIzkoa59jlEUrPsHk9uq4P3oQ+YHtE43BjjYzSt2759u7Mc74TT2LFjlRxs1ryLmeoS0rJ1Zc5yby2nkyipAwAAAPqyDiecLMv6tWVZOZZlpVqW9aZlWbsty7rUoziGSLpCdgPwiyVdKWm6pGdlNwqXpAGyezY1Rzx2v6RMSWkexYIENn7AAOWk2W91eX29tiZojyK/GoZLds+o0dnZzvrGBH2N+rKlroRTb2wYHjJ+/HhnecOGDQmbIAYAAADgvc6McDrFGFMh6SxJxZLGS/q+R3FYwds5kl6S9KSkL0uaJenELh/Usr5uWdYyy7KW7d6925NA4a8ky9I01/TxKxL0ffWzpE6SxuXmOsubKKtLKNV1jfp0i91Q3rIsfeYzn/E5otgpLCxUZmamJOnAgQOqrm7wOSIAAAAA8dKZhFNK8OeZkp4yxnh5Fbtf0ieS9rq2LZDUIGmKa58sSZHdlwfILsE76ErGGPOAMWaGMWZGgStJgZ7NnXD6JEETTn6OcJKkcTk5zjJ9nBLLhxv3qDkQkGT3bxowYIDPEcWOZVlhZXUlJVU+RgMAAAAgnjqTcHrRsqw1skvd3rQsq0BSnUdxrFZL6ZybJSkQXF4jO9k0PmKfQ4L3oY+ITDgFErBMxz3CacSIEXE//1jXCCdK6hLL0nUtsyv25nK6EHfj8NJSEk4AAABAX9HhhJMx5oeyZ4qbYYxplD1D3DkexfGipGmSBrm2HScpVdLHwfVFshuKX+jaJ1PS5yS97FEc6AFG5eQ4fZwqGhoSro9TRUWFDgRHFfXr10+DBw+OewzukjpGOCUWd/+muXPn+hhJfLj7OJFwAgAAAPqOzs5SN0zS+ZZlXSbpAkmneBTHA7LL6V6QnUD6oqS/SXpDdmmdZI+m+qWkH0m6RtJJkp6S/Rzu8ygO9ACRfZwSrazOPUPdiBEjZFnRBu/F1qjsbKUEZ6orqa5WNTPVJYSq2kat3tY3+jeFhJfUVfoYCQAAAIB46swsdbfKTuzcJ+kESb+WdLZHcVTIbg6+X9I/Jf1B0puSvhCx3y8l3SnpZtmjonIknSypVOhTEjnh5Hf/JklKTUoKn6mOUU4J4YMNZQoE7BLQQw89VLmukWi9lbukrqys2sdIAAAAAMRTZ0Y4XSB7VFGJMeZKSYdL8vJqaYOkMyT1l90I/ArZCSg3IzvhNEJShqRjJX3oYQzoIRK5j5PfM9SFhM1Ul2Blh33VsvUtydG+UE4nhY9wKiurUiAQaGNvAAAAAL1FZxJOtcaYgKQmy7JyJJVJ8u9qGn1aIvdxSpSE01j6OCUcd8PwvpJwysrKUmFhoSSpudloz54anyMCAAAAEA+dSTgtsywrT9KDkpZL+kDS4lgEBbQnkfs4uUvqfB3hlJPjLJNw8l9lTYPWbLcHbSYlWZo9e7bPEcVPeFkdjcMBAACAvqAzs9R9yxhTboz5k+y+SZcHS+sAXyRqwilRRjgxU11i+WDjbqd/0yEjByjHlRDs7cIbh5NwAgAAAPqClPZ2sCzrqLbuM8Z84G1IQMccFqWPU5IPM8K5GWPCEk5+NQ2XpJHBmeqaAgGV1tSoqrFRWampvsXT1y1Z21JON2tioY+RxJ97hFNpKQknAAAAoC9oN+Ek6e7gz3RJMyR9LMmSdJikZZLmxCY0oG2hPk4VDQ1OH6cxPs/6VdHQoKoq+4I6IyND+fn5vsWSmpSkMTk52lBeLske5XT4oEG+xdPXLV1X5izPmDDYx0jij4QTAAAA0Pe0W1JnjDnBGHOCpF2SjjLGzDDGTJd0pKQdsQ4QaI0V0cdpRQKU1e2obpn2fdSoUbJ8HnE11lW2tYmyOt8cqK7Xuh3lkqTkpCQdNb6g7Qf0MiScAAAAgL6nM03DJxljPgmtGGNWSprsfUhAxyVaH6edroSTn/2bQujjlBiWb9gtY+z+TVNG56t/et8qbRw5cqRSg+Wc5eV1qqtr8jkiAAAAALHWmYTTCsuyHrIsa17w9qCkFbEKDOiIaH2c/LSjqmX0RqIlnDZVVPgYSd8WXk7Xt0Y3SVJKSopGjx7trDNTHQAAAND7dSbhdKWkTyVdH7ytCm4DfBPq4yRJlQ0N2uJzUiWRRzhtYISTb5aua2kYPrOPNQwPcc9UR1kdAAAA0Pt1OOFkjKkzxtxjjDk3eLvHGFMXy+CA9kT2cfK7rC7REk4js7KUkmR/zctqalTZ0OBzRH3P/qp6rQ/2b0pJTtIRY/tm4/bx48c7yyUllT5GAgAAACAe2p2lzrKsfxljvmBZ1ieSDqpXMsYcFpPIgA6aVlCghTvs/vWf7N6ts10XtvG2o7paCjYKHzVqlG9xhKQkJakoJ0frgzPVbaqoYKa6OFu+vqWcbsqovte/KSS8cXh1G3t646mnvhiT41544RMxOS4AAADQ27SbcJJdPidJZ8UyEKCrovVxSvJhdjhjjD3CKStLUmKMcJKksbm5TsJp44EDJJzizF1ON2vSYB8j8Vd4SR0jnAAAAIDert2EkzFmV/DnltiHA3ReqI9TRUOD08epyNW7KF721derrqlJSZKys7OV60MM0TBTnb+Wrnc3DO+b/ZukyBFOVTLGyPIhMQwAAAAgPtrt4WRZVqVlWRWt3eIRJNCWROnj5O7fNGLEiIS5mB6Xk+Msk3CKr70Vddq4037NU1KSdMS4vju6bODAgcrIsP/GUV/frAMHaAEIAAAA9GbtJpyMMdnGmBxJv5P0Q0nDJY2QdJOk38Y0OqCDDhvcUqqUCAmnROjfFBI2wsnnWfz6Gnf/pmmjByojrSNVzL2TZVkqLMx21pmpDgAAAOjdOjxLnaSzjTF/NMZUGmMqjDH3SzonVoEBnRGtj1O87axquYBOlP5NkjTCNVPdbmaqi6uwcrqJfbd/U0hhYZazTMIJAAAA6N06k3CqtizrS5ZlJVuWlWRZ1pckxX6qIaADRmZnK7dfP0ly+jjF244EHeEUmqkuhFFO8bN0XUvCaeYEEk5DhpBwAgAAAPqKziScvijpC5JKg7cLg9sA3x3Ux6msrI29Y8NdUpdII5wkGof7YfeBWm0uaenfdPjYvtu/KWTwYBJOAAAAQF/R4YSTMabYGHOOMWaQMabAGPN5Y0xxDGMDOsWdcFrhQx+nRB3hJJFw8sMHG1o+g4cXDVJ6H+7fFOIe4VRSQsIJAAAA6M06fAVkWVaBpKskjXE/zhjzFe/DAjovrI/Tnj0KGKOkOM0UFzAmbITT8OHD43LejiLhFH9L1pU6yzPp3yQpfITT3r01amoKKCWlMwNtAQAAAPQUnfmf/n8k5Up6Q9J/XTcgIbj7OFXFuY/T3ro6NTY3S5Jyc3OV4+qZlAjGueLZRMIpLpaubUk4zaB/kyQpLS1Z+fkZkqRAwGjPHtoAAgAAAL1VZ2o8Mo0xN8UsEqCbQn2cFmzfLsnu41TkGtkTS4lcTifZM9WlJiersblZu2trVdnQoOy0NL/D6rV2H6jVlrJKSVJqSrIOK6J/U0hhYZb27auVZPdxGjIk2+eIAAAAAMRCZ0Y4vWhZ1hkxiwTwgF99nHZWtfSjSbSG4ZKUnJSkouyWC3vK6mJrqauc7oixg9QvNdnHaBJLYSF9nAAAAIC+oDMJp+tlJ53qLMuqsCyr0rIs5ldHQonWxykeEn2EkxTex2kDCaeYWrKuZZZEyunCuRNOpaWVPkYCAAAAIJY6M0tdtjEmyRiTbozJCa4nVqMa9Hl+9XFyNwxPxBFOEo3D42mZK+E0axIJJzd3CV1pKT2cAAAAgN6qwwkny3apZVm3BNdHWpY1K3ahAZ0X6uMU8klZWRt7e2dHgpfUSSSc4qV0f4227bZH7vRLTdahYwb6HFFiGTy4v7PMCCcAAACg9+pMSd0fJc2R9MXgepWkP3geEdBNh/nQx2lXTY2z3BMSTpvjOINfX7N0fUuS8/Cxg5SWQv8mt/z8TKWk2P/0VFY2qKam0eeIAAAAAMRCZxJOs40x10iqkyRjzH5JTHOFhDMtzn2cmgMB7eoBJXXD+/dXWrKd/NhdW6uKhgafI+qdlq5taRg+a2Khj5EkpqQkiz5OAAAAQB/QmYRTo2VZyZKMJFmWVSApEJOogG4YmZ2tPFcfp+IYl4/trqtTU8D+KgxIT1dmZmZMz9dVyUlJKsppabtGWV1suEc4zZxEwimawYPdCSdmqgMAAAB6o84knO6V9KykwZZl3SlpgaRfxCQqoBsO6uMU47K6na7+TcP6929jT/8xU11s7dxbrR177M9DelqKpo7K9zmixDRkSEvCqaSEhBMAAADQG6V0dEdjzN8ty1ou6SRJlqTPG2NWxywyoBumFRTof9u3S4p9H6cdrnK64T0o4cQIJ+8tXd9STnfkuEFKTelMTr/vcJfUlZWRcAIAAAB6ow4nnCzL+psx5suS1kTZBiQU9winlbt3KxAIKCkpNhf/7oTT0B6UcNpEwslzy9a1lNPNoH9Tq9wJJ0Y4AQAAAL1TZ67Ap7pXgv2cpnsbDuCNsD5OjY1as2ZNO4/oup09aYQTPZxiaqkr4TRzwmAfI0ls7pK6srIqBQKxbewPAAAAIP7aHeFkWdbNkn4kKcOyrArZ5XSS1CDpgRjGBnRZqI9TqKxu0aJFmjJlSkzOFZZwyspqY0//DQvOVNfQ3Ky9dXUqr693EnPonu17qrRrn/1ZyOyXqin0b2pVZmaasrLSVFXVoMbGgMrLa5Wfn5jN9jvqht98ISbHvef7/4rJcQEAAIBYa3eEkzHmF8aYbEm/McbkGGOyg7eBxpib4xAj0CXusrpFixbF7Dw7XE3DE32EU+RMdZTVeWeZa3Y6+je1j7I6AAAAoHfr8BWRMeZmy7IGWJY1y7Ks40K3WAYHdIc74bR48WIFAgHPz9EUCKisttZZT/QeTpI0npnqYiKsnG4S/Zva4044lZaScAIAAAB6mw4nnCzL+pqkdyW9KumnwZ+3xSYsoPvcfZwOHDgQkz5OJTU1ag4msgoyMtQvOdnzc3iNmeq8Z4zR0rUtM9TRv6l9Q4ZkO8sknAAAAIDepzM1H9dLmilpizHmBElHSiqPRVCAF0J9nEJiUVa3swfNUBcSNlNdRYWPkfQe2/ZUqbS8RpLUPz1Vh4wc4HNEia+wsOX7UlJS6WMkAAAAAGKhMwmnOmNMnSRZltXPGLNG0qTYhAV44zBXwmnhwoWeH3+XK+E0rIcknMYywslzy1zldEeNL1BKMv2b2lNYyAgnAAAAoDfrzFXRdsuy8iQ9J+l1y7L+I2lLLIICvOIe4fTee+953sdph3uGuh6ScBrev79T+revrk776+t9jqjne+PDbc7yDMrpOqSgoL+s4Jyn+/bVqqGh2d+AAAAAAHiqM03DzzXGlBtjbpN0i6SHJX0+dL9lWdSQIOGMyM5WXnq6JLuP0+rVqz09vrukblhWVht7Jo4ky1KRu6yOUU7dsnNvtRatLpFkl3F+9siRPkfUM6SkJGnQoJYkbVkZo5wAAACA3qRLdR/GmPnGmOeNMQ2uzW96FBPgGcuyNG3QIGfd6z5O26taLpJ7yggnKXymOsrquue5xZtkjJEkfeaQQo0Y1DMSj4nAPVMdCScAAACgd0nx8FiWh8cCPHNYQYHeCyaGFi1apKuuusqzY+/sgSV1kjQuJ8dZJuHUdc2BgJ5btMlZP+/ocT5G0/MUFmZp5Up7dr+SEhJOHXXDb74Qk+Pe8/1/xeS4AAAA6Ju87GxrPDwW4JlY9XFqaG7W7tpaSfZIqiE9KOEU1jicmeq6bOGnu5zZ6QZkp+uEw0b4HFHP4h7hRONwAAAAoHdhKiX0eiOys1UQTDp52ceptKbGKaUqyMhQalLP+TqNo6TOE08vbBnddM5nipSa0nM+A4mAhBMAAADQe3l5dURJHRKSZVmaM2eOs+5VH6ftPbScTpKG9e+v9BS7onZ/XZ321dX5HFHPs/tArf63cqezft7csT5G0zMNGRKecAolcOOpsbFZFRV8/gEAAACvdTjhZFnWOMuy+gWX51mWdZ1lWXmuXU7yOjjAK3PnznWWvUo4hfVv6iEz1IUkWZaKXH2cNlFW12n/WbxJzcHyzBkTBmt0YU47j0Ck3Nx09euXLEmqqWlUVVVDO4/w1qZN+3Tzza/q+99/RUuWbIvruQEAAIDerjMjnJ6W1GxZ1nhJD0gaKemJ0J3GmH0exwZ4xp1w8qqP084eOkNdCGV1XRcIGD1Ds/BusyzLt7K6NWt26557Fqqy0k5yvfPO5ridGwAAAOgLOpNwChhjmiSdK+k+Y8z3JQ2NTViAt8aNG6fBgwdL8q6P0w7XCKdhPTDhNJ6EU5ctWVeqHXvs5EhOZpo+e+RInyPquQYPjn/C6eOPd+neexepoaHZ2bZlS7mamryZUAAAAABA5xJOjZZlXSLpckkvBreleh8S4L3IPk4LFy7s9jHdJXVDe2DCyT3Cae3+/T5G0vM8s3Cjs3zWrDHql5rsYzQ9m7uPU0lJZczPt2TJdv3pT0vU3BzeL6qpKaCdOyktBQAAALyS0ol9r5T0DUl3GmM2W5ZVJOlvsQkL8N7cuXP1n//8R5Ldx+ns5O4lCXb24KbhkjR5wABnefX+/WoMBHrUTHt+2VdZpzc/3u6sU07XPYWF2c5yrEc4vfvuZv397x876wUF/ZWXl6716/dKkjZv3q9Ro/JiGkNP9NXSr8bkuA8XPhyT4wIAACAxdDjhZIxZJek61/pmSb+KRVBALET2cWqeM0fJXUyw1DU1aU9trSQpOSlJhZmZnsQYT4MyMjS0f3/tqq5WQ3OzNh44oENcSShE98L7xU7p1WFFgzRheJ6/AfVwhYUtydpYJpxee229nn76U2d92LBsXX/9XC1Zsj0s4XT88UUxiwHtI7kFAADQe3RmlroJlmX927KsVZZlbQrdYhkc4KWxY8c6fZwqKiq0vht9i3bV1DjLhRkZSumhI4OmDRzoLH+yd6+PkfQMxpiwcrrzGd3Ube6m4bt3V6u52ds+SsYYPf/86rBk0+jRefrud49VXl6Gxo7Nd7Zv3szcFwAAAIBXOnOV/BdJ90tqknSCpMckPR6LoIBYiOzjtLS0tMvHcpfTDcvKamPPxDaVhFOnfLhxt4pL7T4//dNTdcr0UT5H1POlp6cqN7efJKm52Wjv3pp2HtFxxhg99dRK/fe/a51t48cP1A03HK2srDRJ0qhRuUpKsiRJJSVVqqlp9Oz8AAAAQF/WmYRThjHmTUmWMWaLMeY2SWfGJiwgNtxldcvKyrp8nB1VLaU/PXGGupBp+S2jOz4l4dSupxe2DOo8feZoZfbrTBs8tCYWfZwCgYD+9reP9OabLSPSpk4drOuvn6OMjJb5LtLSUjRsWMv5t24t9+T8AAAAQF/XmYRTvWVZSZLWW5Z1rWVZ50rquUM70Ce5E07Ld+9Wc6Br5Ts73COcenDC6ZD8fKeP1aaKClU1MrqjNRU1DXrtg63OOuV03nGX1XmRcGpsbNRDDy3XwoVbnG1HHjlM3/rWbKWlHZwkLCpqSbxu2kRZHQAAAOCFziScrpeUKbtx+HRJX5Z0eSyCAmLF3cepqqGhy32cdrkSTiN6cMIpMyVF43JyJNnlR6v2cbHdmv8uKVZDY7Mk6ZCRAzRlVH47j0BHDRniXcKprq5OX/va17R8+Q5n25w5I3XVVTOUkhJ9ZsqxY1ua5RcX7+/W+QEAAADYOpxwMsYsNcZUGWO2G2OuNMacZ4x5L5bBAV7zqo9TbxnhJEmHuvo4UVYXnTFGT7uahZ/H6CZPDR7sTcKpqqpKX/7yl/X666872+bNK9Jllx2l5OTW/7kbM6Yl4bR5834ZY7ocAwAAAABbZ2apm2hZ1oOWZb1mWdZboVssgwNiwYs+Tr2labjETHUdsXLLPq3fUS5JSk9L0RkzRvsbUC/jHuFUUlLZpWMcOHBAF198sRYuXOhsO+20Cbr44sOcpuBtnT893S61q6io1/79tV2KAQAAAECLznS8fUrSnyQ9KKk5NuEAsRetj1Ooj1FH1DQ2an9dnSQpJSlJBenpnscYT2Ez1VFSF5V7dNOp00cpOzPNx2h6n4EDM5WcbKm52ejAgXrV1TU5CaCO2L17ty6++GKtXr3a2XbuuVN02mkTO/T4pKQkjR6dp7Vr90iyRznl52d27kkAAAAACNOZHk5Nxpj7jTFLjDHLQ7eYRQbESGQfp3Xl5Z16/M6almnbh/bv36lkVSIal5OjjBT74n53TY3Karyblr43qK5r1CvLWppPU07nveTkJBUUtJSmlpV1vKxu374anXvuuWHJpp///OcdTjaFRJbVAQAAAOiezoxwesGyrG9JelZSfWijMYYhEehRLMvS3Llz9cy6dZKkpWVlmpzf8QbQO6paLoZ7ev8mSUpOStKU/HwtD5YXfrJ3r07KZHRHyCvLtqq2vkmSNHZorg4vGtjOI9AVhYVZKimxv1slJVUaNSqv3ceUlVXpnnsWqqamnyR7pNI999yjCy+8UE899Vqnzu9uHE7Cqe+4PUajOv+vE/+mAAAA9FadGZpxuaTvS1okaXnwtiwWQQGx1p0+Trt6UcPwEHfj8JWU1YVxl9Odf/Q4WVbb/YDQNYWF7sbh7fdx2r79gH7zm/9p3z6731JqaqoeeOABXXjhhV06v3uE09at5WpuDnTpOAAAAABsHR7hZIwpimUgQDy5E04fdLKPk3uGuuG9JeHk+ms8M9W1WLVqlT7dYr8eKSlJOmvWGH8D6sXCE05tl9QVF+/X7363SDU1jZKk9PR0PfLII5o3b16Xz5+Xl6G8vHSVl9epoaFZu3ZVasSI3C4fD4iGEVUAAKAv6cwsdamWZV1nWda/g7drLctKjWVwQKwUFRWpICNDUuf7OO3shSOcpg0a5Cx/um+fmgOM7pCkv//9787yZ48Yqbysfj5G07sNGZLtLLeVcFq3bo/+3/9b4Eo2pegf//hHt5JNIUVFLRftmzYx0g8AAADojs6U1N0vabqkPwZv04PbgB7HsixNDzYOl+w+Th0VNsIpK6uNPXuOwowMDQom4KobG1Vc2bWp6XuT2tpaPf300876+TQLj6nBg8NHOBljDtpn5coS/e53i1Rfb0+U2r9/qm688WjNnj3bkxiKiujjBAAAAHilMwmnmcaYy40xbwVvV0qaGavAgFib4Uo4daaPU29rGi7ZCbiwPk6U1enFF19URUWFJGlkQbZmThzcziPQHdnZacrIsKu86+ubdeBAXdj9y5bt0B//+L6amuzRd7m5/fS97x2r0aMHHHSsrnInnIqLSTgBAAAA3dGZhFOzZVnOn/gtyxorqdn7kID4mOlKOIX6OLWnsqFBlQ0NkqS05GQNSk+PWXzx5u7jRMIpvJzuvKPH0iw8xizLarWsbtGiLXrooaVqbrZHPQ0cmKnvfe9YDRuW42kMo0blKfQ279xZqbq6Rk+PDwAAAPQlnUk4fV/S25ZlvWNZ1nxJb0n6bmzCAmJvVHZ2p/s4ufs3De3fv1clIdwjnD7p4zPVrV+/XkuWLJEkpSQn6ezPMGdCPESW1UnSW29t1F//+qFCFXaFhVn6/vePDdvXK+npKWFJrOLics/PAQAAAPQVHU44GWPelDRB0nWSvi1pkjHm7VgFBsRaV/o47eyFM9SFTHWNcFpfXq66piYfo/HXE0884SwfP224BuVk+BhN3zFkSEsSqaSkSi+9tFZPPvmJs23EiBx973vHasCA2L0flNUBAAAA3kjp6I6WZV0o6RVjzArLsn4i6SjLsu4wxnwQu/CA2JoxeLBe2bJFkt3H6bJDDmlz/x29OOGUnZamMTk5Kq6oUHMgoDXl5TrCNXtdX9HQ0KB//etfzvp5NAuPm8LCloTTwoVbVFfXkvQsKhqg666bq8zM2E6OWlQ0QAsW2L8TaByOnuyy4ChNrz02a1ZMjgsAAHqfzpTU3WKMqbQs6xhJJ0l6WMxShx6us32c3COcekvDcDcah0uvvPKK9u+3Ew3Dhw/XnMmFPkfUd7gTTu5k06RJg/Sd7xwd82STJI0Z456prm+XlgIAAADd0amm4cGfZ0p60BjzX0lp3ocExE9kH6e17fRxCpuhLsv7HjJ+m+bu49RHE06PP/64s3zJJZcoOakzvybRHdH6Mh122BB9+9tzlJ7e4QG53TJsWLbS0pIlSQcO1Ku8vDYu5wUAAAB6m85cSe2wLOvPki6S9JJlWf06+Xgg4ViWpRmd6OPU60c4ufo4fdoHE07FxcVasGCBJCkpKUmXXHKJzxH1LWlpyWF9nGbOHKGrr56l1NTkuMWQlJSk0aPznPVNmyirAwAAALqiM38y/oKk0yTdZYwptyxrqOyZ64AebUZhoV4O9nFaXlamy1vp42SM6dVNwyVp4oABSk1OVmNzs7ZXVWl/fb0G9Ovnd1hx849//MNZPvHEEzV06FCV+hhPX3TRRYfphRfWaOrUwTrjjIlK8mGEWVHRAK1fbydcN2/ep6OOGhb3GICehp5RAAAgUocSTpZlJUv6wBjjXIkbY3ZJ2hWrwIB4CevjVFam5kAgahlVRUODqhsbJUnpKSm9MhGTmpSkyQMGaMWePZLsPk7HDusbF9uNjY168sknnfUvfelLPkbTd02ZMlhTpgxuf8cYKipqGelXXFzuXyAAAABAD9ahPx0bY5olrbUsa1SM4wHibmRWVksfp8bGVvs4RY5usiwrHuHF3dQ+Wlb35ptvqixYUllYWKiTTjrJ54jgl6KilsbhW7bsV6CdyQQAAAAAHKwzJXUDJH1qWdYSSc6VtzHmbM+jAuIo1McpVFa3tKxMU1xJl5Advbx/U4h7proVfSjh5G4WftFFFyklJT5NqpF4BgzIUG5uPx04UK/6+mbt3FmpESNy/Q4LQNBX/xGbYueHL2FWUgAAvNSZK6pbYhYF4LOO9HHqKwmnw1wJp5X79skY02tHc4Xsqq7W2//7n7NOs3AUFeXro4/sqvHi4v0knAAAAIBO6nA3VmPMfEnFklKDy0slfRCjuIC4itbHKdLOqipneVjWwdO39xYjsrKUnZYmSaqor9d21/PurZ7btEnGGEnSscceq9GjR/scEfzmLqvbvJmZ6gAAAIDO6nDCybKsqyT9W9Kfg5uGS3ouBjEBcdeRPk69fYa6EMuyNM01yumTXl5W1xwI6NlNm5x1moVDksaMIeEEAAAAdEdnSuqukTRL0vuSZIxZb1mWv1MJAR7pSB+nHX0k4SRJ0wYO1KJddjnRyn37dMaYMf4GFEOLSkpUWlOjpLQ05efn67TTTvM7JCSAMWPynOWdOytUX9+kfv3o6wX0RfSMAgCgazo8wklSvTGmIbRiWVaKJON9SIA/ZhS2/MdvWWn4fy6NMWEjnHpzDycpfKa6lb18hNPTGzc6y1/4wheUFiwnRN+Wnp6qYcOyJUnGSFu2lPsbEAAAANDDdCbhNN+yrB9JyrAs62RJT0l6ITZhAfHn7uP04e7danL1cdpXX6+6piZJUlZqqnJ6eVLCPVPd6v371dhLp4XfXVurd3fudNa/+MUv+hgNEg1ldR0XaApo49Mbte3NbU4/NAAAAPRtnUk4/VDSbkmfSLpa0kuSfhKLoAA/HNTHaX/LBaZ7dNPQ/v17/axt+enpGh5sjN7Y3Kz1UXpa9Qb/2bzZaRA/e/ZsjR8/3ueIkEhoHN5xa/66RktuX6IFNy7Qmr+u8TscdEJNWZn2rVtHohAAAHiuM7PUBST9VdLPJP1U0l8N/ztBL2JZlma6y+rKypzlsIbhvXiGOrfeXlYXMEbPusrpaBaOSEVFLd+B4mISTm3Z8vIWZ3nFvStUujQ2PW/grcodO/TaN7+pt264QRtfYNA6AADwVmdmqTtT0kZJ90r6vaQNlmWdHqvAAD/McJXVhSWcqqqc5d7evymkt89Ut7S0VNuD72t2WprOOussnyNCohk2LFtpacmSpP37a1VeXutzRImppqxG5evLnfVAc0CLvr9INaU1/gWFDln39NNqqquTJG17912fowEAAL1NZ0rq7pZ0gjFmnjHmeEknSLonNmEB/mitj1Nfahge4k44rdy3z8dIYsPdLPzM0aOVnp7uYzRIRMnJSRo1Ks9ZZ5RTdCWLSg7aVre/Tgu/t1DNDc0+RISOqK+o0Ja33nLWyzduVCDYqxAAAMALnZnjudIYs8G1vklSpcfxAL4akZWlgsxM7a6pcfo4TR04UDvcJXV9JOE0acAAJSclqTkQUHFFhSobGjTE76A8sr++Xm9u3+6sn0/vJrSiqGiANmywR/jRxym6nQtaGu+P/OxI7Xh7hwLNAe1ZsUcf3vWhZvxoho/RoTWbX31VgcZGZ725oUGV27Ypt6jIx6jw1a/Gphz14YcL298JAACPdWaE0zLLsl6yLOsKy7Iulz1D3VLLss6zLOu8GMUHxJVlWWGjnEJldTv64AinjJQUjc/NlSQZY7SqF41yemHzZmf02qEDB2piXp6/ASFhMVNd2wJNAZW+13KBPO2b03T4DYc76+ufXK/Nz2/2IzS0IdDUFLVn0/4NG6LsDQAA0DWdSTilSyqVdLykebJnrMuQ9DlJND9BrxHZxylgTJ8sqZN6Z1mdMUbPuMrpzh83zsdokOjGjm1JOG3ZUq7mZkrE3Pau2KuGygZJUmZhpnLG5WjSpZM06tRRzj5Lf7ZU+9eQrEskOxYtUm2U3nz716/3IRoAANBbdWaWuivbuH3FsqybYxkoEC+RfZzKamvVGLzIzE5LU3Zaml+hxd2hvbBx+Id79mhzRYUkKTM1VaeOGtXOI9CXDRiQoZycfpKkurombXQlKyHtXNhSTjf06KGyLEuWZWnWrbOUO9YeIdnc0KwFNy5Q/YF6v8JEhA3PP+8sD5w82Vnet26dH+H0Cvu2rtbzPzlVr//mUtVXH/A7HAAAEkJnRji150IPjwX4JtTHSZKqGhv1lqvXz/CsLL/C8oU74bRy714ZY3yMxhvu0U2njRql/qmpPkaDRGdZVlhZ3YcffuhjNImnZGFLw/ChRw91llP7p+qYe45Ran/7+1W1o0rv/eg9mUDP/x3S0+1bt057V6+WJCWlpOiob3/bue/A5s00Du8CY4yWP3mnqveVaM/mT7Tmjb/6HRIAAAnBy4ST5eGxAN9E9nH6z6ZNznJfaRgeUpSdrcxgQmZPba1KSg6ejaonqWxo0GtbtzrrlNOhI4qKWhJOH3zwgY+RJJba3bXat9outU1KSVLh7PCmxDljcjT7Z7Od9Z0Ldmrln1fGNUYczD26acSxxyp39Gj1L7Tfu0BTkw4UF/sUWc+1Z9NH2rP5E2d906Jn1NzU4GNEAAAkBi8TTvzZEr2Gu4/T2v0tvUf6WsIpOSlJU/LznfWefrH9YnGx6oPlkRPz8jTV9dyA1owd2/I5YYRTi5LFLQnoQYcPUlr2weXGI08aqSlfmeKsr/zTSu14d0dc4sPBavfu1fb//c9ZH3/22ZKkARMmONvo49R5kSOa6ir3a9sHr/sUDQAAiYMRTkAU7hFObn2pYXjIofm942I7sln4eePGybL4tYX2jRqV5yyvXr1atbW1/gWTQHYt2OUsu8vpIk27dpqGzB7irL/3o/dUubUyprEhuk0vv+yUzA2cPFn5EydKIuHUHZVlW7RjxTsHbV8//5/xDwYAgATjZcLpKQ+PBfjK3cfJrS8mnNwz1X300Uf+BdJNn+7bp3Xl5ZKkfsnJOmvMGF/jQc+RmZmqIUPs/m3Nzc365JNP2nlE7xdoDoSNcBp6TOsJp6TkJM355RxlFtq/UxsqG7TguwtI3MVZc2OjNr38srM+/pxznOUB48c7yyScOmftW393+hsOKjpMSSkpkqQ9m1do/7bVfoYGAIDv2k04WZb1f23cbgntZ4z5eWxDBeLHsizNijLKaVgfaxouhSecPv744x47LfzTrtFNp4wa1admG0T3FRX1jpF+Xtm3cp/qK+xZ5zIKMpQ3Ma/N/dPz03XM/ztGSSn2fzvK15XrBz/4Qa+YiKCn2DZ/vuqDSfeMQYM0fM4c5748V8LpwJYtam6g/1BH1FeVa9Pi55z1aZ+7ViOP+Kyzvv7dJ32ICgCAxNGREU7VUW5G0lcl3RS70AB/zYiWcIoy6qm3G5yZqYKMDElSdXW11vfAv35XNzbqFVez8PNoFo5OGjMmz1km4STtWuQqp5s7tEPlqQMPHagZP5rhrD/99NN69NFHYxEeIhhjtOE//3HWx591ljMSR5LSsrKUNWyYvW9zsw5s3hz3GHuiDf/7l5ob7cTrgBGTVDhpliYcd5Fzf/GSl9RQQ/koAKDvSmlvB2PM3aFly7KyJV0v6SuS/inp7tYeB/R0kQmnAenpzoxtfc2hAwfq7e3bJdkX24cccojPEXXOq1u3qqaxUZJUlJurIwcN8jki9DTuxuE9vXm+FzravynSuPPHac+KPdr0nD3756233qpp06ZpxowZ7TwS3bHn009VHpxxNTktTUWnnXbQPgMmTFDVzp2S7LK6/EmT4hpjT9PcWK91rj5Nh3z2MlmWpUHjjlTe8Akq37FezY312vzefzTpxEt9jLRtX/1qaUyO+/DDhe3vBADo9TrUw8myrHzLsu6QtEJ2kuooY8xNxpiymEYH+GhEVpYGu0Y09cX+TSHusrqeOLrDXU533tixNAtHpw0blqOUYDnY9u3btXv3bp8j8k/9/nrt+3SfJMlKsjRkzpB2HhFuxo9mKH+KncBramrSVVddpbIy/jsRSxuef95ZHnXiiUrLzj5oH3fj8H09cCRrvBUvfUl1FXslSZl5gzXqqFMl2SX57lFO6999UiYQ8CVGAAD81pEeTr+RtFRSpaRpxpjbjDH723kY0ONZlhU2W93wPpxwmtqDZ6pbV16ulXvti4KUpCR9rqjI54jQE6WkJIXNVteTG+h3167Fu5zeSwOnDVRaTuf6oSX3S9Yxdx+jvLw8SVJpaam+8Y1vqDE4ChHeqi4t1c5Fi5z18WefHXU/d8KpfMOGmMfVkxljtPbNx5z1iSd8UUkpLSOgR888Q6kZds/HyrKtKl37ftxjBAAgEXRkhNN3JQ2T9BNJOy3LqgjeKi3LqohteIC/jh8+3Fk+1DXKp6+ZOnCgMypozZo1PWp2qaddF04njRihAf36+RgNerKiogHOcl8uqytZ2DI73bBjhnXpGP2H9df999/v/F5577339POfM/dILGz873+dBOHgI45Q7ujRUffLGzdOCr4fFVu2qKmuLm4x9jS7Vi3UgV12iWJqv0yNO/qCsPtT0/uraPbnnHWahwMA+qp2E07GmCRjTIYxJtsYk+O6ZRtjcuIRJOCXk0eO1M0zZui6ww/Xha5ZfPqarNRUFeXYX/eeNC18XVOT/rtli7N+Ps3C0Q1jx7YknHraSD+vmIDRroUt/ZuGHN25cjq3448/Xjfd1DL3yJ///GdtfXVrG49AZzXV1WnzK684662NbpKk1IwM5YwcKckewUPj8NateeOvzvLYo89TWubBJYrusrodn8xX9b5dB+0DAEBv16EeTkBfZVmWLpowQV+ZMkUZKe322O/VDu2BfZxe37ZNlcHpvUdkZWlmIU1M0XVjxrQknD766CMF+mBflv1r9qtuvz3yJX1AuvIn57fziLZde+21OuWUU5z19299Xwc2HOjWMdFiy1tvqbG6WpKUNXSohs6c2eb+A1x/WNm3bl1MY+up9m9fo9K1SyRJSUnJmnTCl6LulzOkSIWTZkmSTCCgjQv+HbcYAQBIFH37ChpAhx2an68X99mNgntKwukZV7Pwc8eNUxLNwtENAwdmauDAgdq7d68qKiq0adMmje9jIx/ds9MNmTtEVlL3vlNJSUm69957ddppp6m4uFhNtU36343/06lPnKrUrL45K6hXjDFhzcLHnX22rKS2/844YMIEbXnrLUn2THU42Jo3Wno3jTjys+o/sPWy0gnHXeQkpzYufEZTz7haySmd63nW2zArHgD0LYxwAtAhPW2mus0VFfogOJNYclKSzqFZOLrJsiwdddRRznpf7OPkLqcbesxQT46Zk5OjRx55RBkZGZKkyi2Veu+W95y+Q+iasg8/VOW2bZKklIwMjTnppHYf424cTsLpYDX7S7V1+avO+iGfvbzN/YcfNk+ZefbkI3WV+7T9wzdjGh8AAImGhBOADhmfl6e0NPsvs9u2bdOePXt8jqht7tFNxw0bpoLgxSzQHUcccYSz3NdmqmuoaNCeFfb33rIsDZ3jTcJJkg455BDdfffdzvr2t7Zr9V9We3b8vmj9f/7jLI85+WSldmCm1dyiImcUVOWOHU45Hmzr3nlCgeYmSdLgCdM1cPTUNvdPSk7RuGNaGoqvf/efMY0PAIBEQ8IJQIekJiVp2rRpznoij3JqaG7W866GtzQLh1f68ginkvdKZAL2qKP8qfnqN8DbGR8///nPa9IXJznrK+5boZL3S9p4BFqzceNGlSxbZq9YlsZ/7nNtPyAoJT1dOaNG2SvGqHzTphhF2PM01lZpg6sP0yEnXdahx407+jwlJdsdLHZv/Ej7t6+NSXwAACQiEk4AOsx9sZ3Iozve3rFD5fX1kqTCzEzNHdL1mbQAN/cIp1WrVqmuD00d7+7fNPRo70Y3uR1x4xEqOLJAkj0j3qIfLFL1LkbZdNYjjzziLA+dOVNZw1rvMxSJsrroNi56Vo21VZKk7MGjNezQ4zr0uIzcAo04oqWcccO7T8YkPgAAEhEJJwAdduSRRzrLiTy642l3s/CxY5XcTqNcoKNyc3M1duxYSVJTU5M+/fRTnyOKD2OMdi2KfcIpKTVJR//maGUMsktg68vrtfC7C9Vc3xyT8/VGFRUVevLJlqTGhHPO6dTjSTgdLNDcpHVv/91ZP+SkL7fbgN1twnEXOcvFS/6rhppKT+MDACBRcRUGoMPcCacPP/wwIZv6bquq0vsldhmOZVn6fDA5AHilL5bVla8rV+3uWklSv5x+yj80P2bnyijI0NG/OVpJKfZ/UfZ+ulcf/KpvvM5e+Mc//qGamhpJUs7o0So4/PBOPZ6E08G2f/SmqvfZCdd+WXkaM7tjJYohBeOPUt4we0bLpoY6Fb//gucxAgCQiEg4AeiwUaNGacCAAZLsv6IXFxf7G1AUz7lGNx09dKiGdqBRLtAZPWWkn5fc5XRD5gxRUnJs//tQcFSBjvxuy+u84ekN2vQc/YTa09zcHFZON/7ss2VZVqeOkVtUpKQUu+dQ1a5daqiq8jTGnsYYo9VvPOqsTzj+YqWkpXfqGJZlafxxX3DW17/7ZEL+wQYAAK+l+B0AgJ7DsiwdeeSReuuttyTZF9tFRUU+R9WiKRDQf1zNws9jdBNioKf0MvOSu5xuyNHx6Yk24ZIJ2rNij7a8vEWStOyOZcqbmKf8KbEbXdXTvf7669q2bZskKS0rS6Pmzev0MZJTU5U7Zoz2b9ggSSrfsEGDXb3L+pr3339f+7askiQlp6RqwrFfaOcR0Y2ZdZY+fu53aqyrVkVpsUrXLpF0toeRItJlly2JyXEfe2xWTI4LAL0RI5wAdEpkWV0i+d/Ondpda5f9DExP13HDh/scEXqjKVOmKC0tTZK0ZcsW7d271+eIYquxqlF7PtrjrA+dG5v+TZEsy9Ks/5ulvPF5kqTmxmYtuHGB6svr43L+nuihhx5ylotOP10p6Z0biRNCWV2LP/3pT87ymNmfU3rOwC4dJzW9f1gpHs3DAQB9AQknAJ3iTjgl2ugOd7Pwc8aOVSrNwhEDqampmjZtmrOeaIlXr5W8X6JAU0CSNOCQAcooyIjbuVMyU3TM/ztGqVmpkqTqXdVa9MNFCjQH4hZDT7F69WotWrRIkpScnKxxZ57Z5WO5E077+nDCaePGjXrttdec9UNOuqxbx5vgKqvbseId7dq1q429AQDo+bgaA9Ap7mnhP/nkEzU0NPgXjEtpTY0Wuv7zfi7ldIihRE68es3dv2noMfEZ3eSWPTpbc+6c46yXLC7Ryj+ujHscie7BBx90ls8880xlFhR0+ViMcLI98MADzvLwaccpZ0j3Sshzh45T4cQZkqRAoFmPP/54t44HAECiI+EEoFPy8/M1ZswYSVJjY6NWrVrlb0BBz27apECwCeuswkKNys72OSL0Zn2lcbgxRrsWtiSchh09zJc4hs8brqlfm+qsf/rQp9rxzg5fYklEe/fu1TPPPOOsf+1rX+vW8XJGjVJSqj2qrKasTPUHDnTreD3R3r179a9//ctZn9TN0U0h44+7yFl+/PHH1djY6MlxAQBIRCScAHSae5RTIpQTNQcCenZTywxW548b52M06Asie5n11hmn1q1bp5rSGklSWnaaBh7Wtf41Xjj0W4dqyJyWhuWLf7xYlVsqfYsnkTz++OPOaNPDDz9c06dP79bxklJSlOcaJdoXRzk9+uijqq+3+4Xlj5qiwRNmeHLcEYedoIxce/TZ7t279fLLL3tyXAAAEhEJJwCdlmiNwxeXlqqkulqSlNuvn04cMcLniNDbjR49WgMGDJAkHThwQBX7a3yOKDbefvttZ7nwM4VKSvHvvw1JyUma+8u56j+0vyS7mfmimxbJBHpnsq+jmhsb9eijjzrrX/va12RZVreP25fL6urq6sJe00NOusyT11SSklJSNe6Y8531v/zlL54cFwCARETCCUCnuaeFT4SE0zOuZuGfGzNGacnJPkaDvsCyrLDEa9mO/T5GEztvvfWWszz06Pj3b4rUL6+fjrnnGCWn2t/xfav3advr23yOyl/rXntNpaWlkqTBgwfr7LPP9uS4A8aPd5b7WsLp6aefdmafHDZsmEYe+VlPjz/+mAuUlJwiSXr//fe1evVqT48PAECiIOEEoNOmTp2qlBT7P8sbN25UhY+Nw/fU1mr+jpZeLpTTIV56e8Kpurpa77//vrOeCAknScqfnK9JX57krH9y/yd9eta6D1yNpy+77DKlBnsvdVfYCKcNGzw5Zk8QCAT0pz/9yVm/6qqrlJTizWsakpFboBGHn+is//Wvf/X0+AAAJAoSTgA6LT09XZMnT3bWP923z7dYnt+8WU0B+2LziIICjc3N9S0W9C3ukX67d5b7F0iMLFq0yGlonDchT5mDM32OqMUhVxyi1Cw7CVCxuUJbXtric0T+2Pnxx9r18ceSpNTUVH35y1/27NjZI0YouV8/SVLt3r2qDY746e3efPNNbQyOms3OztYXv/jFmJxngqt5+L///W9VVtKPDADQ+5BwAtAl7ovtlT5diBhj9IyrWfh5ria3QKy5m+fvLalQc1PvGmXj7t+UKKObQvrl9tOkS1tGOa3800oFGnvX698RH/ztb87yueeeq4KCAs+OfVDj8D4yyunPf/6zs/ylL31J2TGa8bRgwnRNmmR/hmtqavTvf/87JucBAMBPJJwAdIn7YnuFTwmnpWVl2vb/2bvv8Kiq9A/g35n03oCQ0AJJKKGLgjQLIlLsXext7W3Vtaxl3dXf2l3rrr33smtBLNhREKVID72XACEhIT3z/v54771zE4NA5s7cSfL9PM88mTtJ5pw7c8u573nPuUavcFJ0NMZ17epKPahtSktLQ05ODgDAV+/Dji2t59bxIhJ28zc11uusXohJ1gyc8g3lWP3RapdrFFplW7di2RdfWMsXXXSR42Wk9+xpPS9pAwGn+fPn46effgIAREZGBuUzNXk8Hpx77rnW8ksvvdRq73ZJRERtFwNORNQs9vlrFu3Y4UpD+X3bZOETu3VDnDGvFFGoNBhWt7nEvYo4bPXq1Vi3bh0AICo+Cu0HO5c545TopGj0Pr+3tbzw6YWor653sUahNe+tt+CrqwMADBs2DP369XO8jLZ2pzr73E3HHHMMsrOzg1reSSedhIQEvevi8uXLrWAXERFRa8GAExE1S15eHhITEwEAO6qqsKUitLeFL6muxrT1/rtTncjJwskFrXXicHt2U+bQTHijwrO50PP0nohNjwUAVGytwMr3V+7lP1qHuupqzH/nHWs5WJk4jQNOrTkDZ3fxZnz88cfW8qWXXhr0MpOSknDKKadYyy+99FLQyyQiIgql8GxBElHY83q9DYbVLQjxsLpP1qyxJgsvSE9H77S0kJZPBDQOOJW4VxGHNZi/aVT4DaczRcZHouCiAmt50XOLUFdZ52KNQmPJlCmo3KkBzqSsLBx11FFBKScxOxuRcXEAgKqSklY9cfiyb99Afb1myI0cORL9+/cPSbn2YXWfffYZKiqKQlIuERFRKDDgRETNZr/YXhjCO9WJSIPhdCcxu4lc0q9fP+s29LuKd6OqosblGgWuqqqqwdCecJy/yS7v5DzrDnpVO6qw/O3WPfRLRDD7lVes5cGTJyMySMOJPV4v0vLyrOWdy5YFpRy31VSUYeX0963lSy65JGRl9+rVC8OHDwcA1NfXY+VKTh5OREStBwNORNRsDQJOIez5/m3HDqwq1Qma4yIjMaFbt5CVTWQXHR2Nvn37WsvbNpW4VxmHzJgxA9XV1QCA/Px8JGQnuFyjPxYRE4GCi/1ZTkteWILa3bUu1ii41v/yC7YbgZ/IuDgMsA3JCoa2MI/Tqp8+QG3VbgA6XHzMmDEhLd+e5bRy5fvw+Vrv9ktERG0LA05E1GwNJg4vLraGuAXbB7bspqO6dkWCkWFC5IbWNo+Tff6mww8/3MWa7LvcE3KtwFh1aTWWvd46M3EAYM6rr1rP+x57LGKTk4NaXmsPOPnqalH4zevW8qWXXgqvN7TN4wkTJqBDhw4AgMrK7diw4eu9/AcREVHLwIATETVbZmYmsrJ0uE1VXR1W7doV9DLLamrw2dq11vLJtuEeRG5ocKe6VpDhZA84hTrTo7m8UV70u8R/l7alryxFza6WP7yxsZING7DC9v0ccNZZQS+zwZC6Vjhx+Lq5X6Ji51YAQLt27XDSSSeFvA5RUVE4y/ZdLl/+zh/8NRERUcvBgBMRBcSe3RGKicM/XbsW1cbErvmpqeiXnh70Mon+iD3gVLSppEVfkK9ZswarV68GAMTFxWHYsGEu12jf5Rydg6RuSQCAmrIaLH15qcs1ct7cN94AjO2r28iRyAjB/HUJWVmIStDssZrycqy33R20pRMRFE7zz4d13nnnISYmxpW6nHXWWYiIiAAAFBX9ipKS1pdNRkREbQ8DTkQUkFAHnD5oNFm4x+MJeplEfyQnJwfRcTqss7qiBrt2Vrhco+az351u5MiRrl18N4c30ov+l/vvLFb4eiGqiqtcrJGzanbvxsL3/RNbDwlBdhMAeDyeBsPqfvvtt5CUGwpFy39F8folAICIqGicd955rtWlY8eOGD9+vLW8YsW7rtWFiIjIKQw4EVFAQjlx+Pz587HUuBV4dEQEJuXkBLU8on3h8XjQITvVWm7Jw+q+/fZb63lLmb/Jruu4rkjNSwUA1FXWYelLrSfLadH//ofqsjIAQFpODnJGjw5Z2a014LR02svW8+4HH4d0lzNm7QGvNWs+Rm1tuXuVISIicgADTkQUkAEDBlhZRitLS7G7Nnh313n9df/EruO6dkVydHTQyiLaHx06pVnPt7XQicOrq6sxffp0a7klBpw8Xg/6Xe6fy2nZm8tQua3SxRo5w+fzYY7t+HfAmWeGdGJr+zxO8+fPD1m5wVS6eRU2LfwBgAaNe4052+UaASNGjEBKSncAQG1tBdas+cTlGhEREQWGASciCkhiYiJ6GHdJ8olYGUhO2717N/773/9ayyf16BGUcoiao70tw6mohWY4zZo1C5WVGpzJyclBTgvNIOw8pjPS+2imSn1NPRY9t8jlGgVuzfTp2LlmDQAgOjERBccdF9Ly7RlO8+fPhy9EdyQNpsKv/Xf769T/UCRndnOxNsrj8SAv7zRrefnyt1v0nHBEREQMOBFRwPpnZFjPgzWP08cff4zych1e0D05GYPbtw9KOUTNYQ84bd9Sivr6lndB3hLvTtcUj8eD/lf653Ja+d5KbNiwwcUaBW7Oa69Zz/ufdBJiEhNDWn58hw6ISUkBAOzatQtrbXcKbYkqd23Hmp8/tpZ7jT3Xxdo0lJNzNCIj4wAApaWrsG3bbJdrRERE1HwMOBFRwPrZAk7BmsfJPpzuBE4WTmEmLiEGSWnxAABfnQ/FW3e5XKP9Z58wvCUOp7PLGpmFdgPbAdDv41//+pe7FQrAjlWrsMYc6ujxYPDkySGvQ2ubOHzF9++gvk6Hf2d064v2uYP38h+hEx2dhJyco63l5cvfdrE2REREgWHAiYgCZg84LSgudvz9ly5ditmztZc30uvFMS10qA+1bg2G1bWweZzKSyuxbNkyAEB0dDRGjBjhco0C4/F4MODKAdby22+/jTXGkLSWxp7dlHv44Ujt0sWVetjncWrJAae6mkos/94fxOk99tyw68DIzz/Ver5hw9eorNzmYm2IiIiajwEnIgpYXkoKYiIiAABbdu/GtkpnJ+m1Zzcd0bkz0mNjHX1/Iic0mDi8hc3jtH5lkfV8xIgRiIuLc7E2zsgcmonMgzIBAPX19XjooYdcrtH+q9q1C4s+/NBaHnK2exNb2zOc5s2b51o9ArV65seoLi8BACSkZ6HzoCPcrVATUlN7on37AwAAPl8dVqx4z+UaERERNU84Bpw6ASgHIADskxR4ANwKYD2ASgDfAxgU6soR0e9Feb3oY7ud9CIHs5yqq6vx3nv+xvaJubmOvTeRk+wBp6KNJe5VpBnWr/AHnFr6cDq7/lf453L64IMPrCyulmL+e++hzgjgt+vZE12GDnWtLvaA04IFC1BfX+9aXZpLfD4Ufu3PGOs15ix4IyJdrNGe5ef7Jw9fufJ9+HzBuwMstV61tbUoKSlxuxpE1IaFY8DpAWjAqbGbAdwO4D4Axxh/Mw1Ax9BVjYj2JFgTh0+ZMgWlpaUAgK5du2JoZqZj703kpIzMZHgjdGhO6Y5yVFe2jAvE+nofNq3Zbi235AnDG2s/uD2yR2UDAESkRWU51dfVYd4bb1jLQ84+29WhX3EZGYg1OhYqKiqwcuVK1+rSXJsWfo+yIp3wPDouCT1GnOByjfasS5cjEBur59XKym3YsOGbvfwHUUM7d+7EhAkTUFBQgBdeeMHt6hBRGxVuAadDAIwH8GCj12OhAad/AngCGmg6BZoFdWUoK0hETQtWwMk+nG7y5MnwhtlcG0SmyKgIpHdItpZbyrC6reuLUVtdBwDo0qULevTo4XKNnGXPcvr444+xaNEiF2uz71Z+8w12bdoEAIhNTUXvSZNcrlHLn8dpybSXree5o05CVGyCi7X5Y15vFHJzT7SWV6x4x8XaUEsjIrj++uuxePFiAMB//vMfl2tERG1VOOURRwB4HMDfAZQ0+t0IAMkA7Gfb3QA+BjABwG0hqB8R/YG+tiF1i4uL4RMJODi0atUqzJgxAwAQERGB0047DWiBFznUdnTolIbtmzUjr2jTTnTObe9yjfZuw0r/hMRjxowJuwmUA5VekI4JEyZg6tSpAID7778fL7/88l7+y31zXn3Vej7w1FMRFQZz16Xl56Ny7lwAGnA65ZRTXK7RvtuxZiG2rZgDAPBGRKLnYaG/29/+yss7BUuWvACfrx5bt/6C0tKVSEnhsPJwdc45s4Lyvq+8sv9Dad944w189tln1vKGDRtQVFSEDh06OFk1IqK9CqcMp0sBxAB4sonf9QZQD2B5o9eXGL8jIpd1SkhAmnFBVFZTg3VlZQG/5xu24SRjx45FJofTUZiz36mupWQ42ScMb03zN9ndcMMNViDtyy+/xJw5c1yu0R8rWroUG379FQDgjYzEoDPOcLlGyj6PU0vLcFr61SvW824Hjkd8WvifT+LjM5Gdfai1vHw5s5xo71auXIk77rjjd6/PNYLFREShFC4BpwwA/wDwZwBNTXqRBp2zqfEMlTsBxAOIbupNPR7Pnzwez68ej+fXbdt4S1miYPJ4POhny3KaH+CwulqfD2+/7b919ZlnnhnQ+xGFQsOJw3dCRFyszd7tLqtC8dZdAICoqCiMHDnS5RoFR58+fXDsscday/fff7+Ltdm72bbspvwjj0RSmATb7UPqFi5ciLq6Ohdrs+/Kd2zE+rlfWsu9jjjHxdrsn/z8063na9Z8jNra3S7WhsJdbW0tLr/8clQ2cbfgcA+0E1HrFC4Bp3sAzATwqZNvKiLPiMiBInJg+/bhP6yBqKXrZ5vHaVGAAadvNmzADuM9srKyWm3mBbUuKekJiI6NAgBU7a5BWcnvG/3hZIMtu2nYsGFISAjfOW0CdcMNN8Dr1WbP999/j5kzZ7pco6bt3rEDSz75xFoecvbZLtamodi0NGRn6yTs1dXVWL68ceJ5eFr2zesQnw8AkNlrKNI693K5RvsuM3MokpNzAAC1tbuxZs0UdytEYe2+++7DggULAGgnwrXXXmv9jgEnInJDOASc+gK4ADp3U6rxiDd+lwIgDprJlAid58kuDUAFgJoQ1JOI9qLBxOHFxQG91we2OyCdccYZiIhovPsThR+P14N2WSnWcrgPq1tvm7+ptQd1c3NzG8w5dN9994VlBtq8t96Cr1aTvTsOGIDsQYPcrVAjAwcOtJ63hGF1NRVlWPXjf63lPmPPdbE2+8/j8SA//zRrecWKt8NyuyX3TZ8+Hf/+97+t5dtuuw1nnXWWtTxv3jzU1zceLEJEFFzhEHDKBxAFYAY0sLQT/nmcNkAnEl8KDTblNfrf3sbviCgM2IfUFe7ciepmNmw2lpdj5tatALSxffrpp+/lP4jCR+NhdeHKV+/DxlVtJ+AEANdddx0iI/V+KT///DPWGjclCBfz3nwTM20XjENsF4vhoqUFnFb++B5qqysAACnZuehY0PKGjebkHIPISJ0jsaRkBbZt41w81NDOnTtx9dVXW8HIQw89FBdeeCGysrKs+S93796NZcuWuVlNImqDwiHgNB3A4Y0e9xm/mwjgAQA/AdgFwH47lHgAxwCYGrKaEtEfSomJQZekJABAnc+Hwp3Nu9j+76pVVqPpsMMOQ+fOnR2rI1Gw2QNO28I44FS0qQQ1VZpJk5Aci169Ws4wo+bq2rUrJk/2351s+mOPhUW2iM/nw7cPPohp//iHNfQrIy8PPY86yuWa/d4gW8ZVuAecfHW1WPaN/+YTvcec0yLvwhgdnYScnEnW8vLlb7lYGwo3IoIbb7wRW7ZsAQCkp6fjX//6F7xeLzweDw444ADrbzlxOBGFWjgEnLYD+LbRw8xa+gFAIYAqAPcCuBXAFQCOAPAutP6Ph7CuRLQX9mF1C5sxrK7O58P/Vq2yljlZOLU09jvVbd9Sivp6n3uV+QPrV/jnb+qc26FFXog3xzXXXIPoaL3XyJb587Hq229drU9tVRU+uf56/PrCC9ZrHfv3x6kvvICIqCgXa9a0AQMGWM8XLVqE2tqm7vUSHtbN+RwVJbqdxyZnoNvQiS7XqPny8vzD6jZs+AqVlbwZDqk333wTn37qnwb3kUceaXBXX3vAafbs2SGtGxFROASc9tW90MnFbwHwCYBkAEcC2OpmpYiooQbzODVj4vAfN2/GNuPuKu3bt8eRRx7pWN2IQiE+MQaJqXEAgPo6H3YWlblco6att00Y3iW3g4s1Ca2srCycc47/LmXTH3sMPp87QcGK4mK8c8EFWPb559ZruWPG4LSXXkJCu3au1GlvUlNT0a1bNwB6R6ylS8NzZgMRwZIvX7aWex56BiIim7ypcYuQltYL7dsPAgD4fHVYufIDdytEYWHVqlW4/fbbreVzzz33d+0mZjgRkZvCNeD0EgAPgHLbawINOHWGTiQ+GgCPmkRhpq9tHqeFzQg4vWebLPzUU09FVBj28BPtTYfs8J7HqaK8Gjs2lwIAvBEeZHcPz+BGsFx55ZWIi9Og4LbCQiz/4ouQ16F4zRq8MXkyNs+bZ712wNln47hHH0WUUbdwZZ/HaZ6t/uFk24o5KNmo89VERMUgb/Qpe/mP8Jef75/PcOXK9+Dz1blYG3JbbW0tLr/8clQanXT5+fm44447fvd3AwYMsO7QWVhYiLKy8OwEIaLWKVwDTkTUQvVOS0Ok0bBZV1aG0urqff7foooKTN+0yVrmcDpqqdp3SrWeh+Od6jas8mc3deicjpjYthXY7dChAy644AJr+ccnn4QvhHdv2jB7Nt444wyUrFunL3g8OPyWWzDmllvgbQF35LQPqwvXeZxW/PCO9bz7wccgJjHVvco4pHPnIxAbq506FRVF2LjxW3crRK564IEHMH/+fABAVFQUnnrqKSuQbpeQkIDevXsD0My/cN1niah1YsCJiBwVExGBnqmp1vL+zOP0v9Wr4TMm8D0oMxM5OTkO144oNMI9w2nDSv/8L11y27tYE/dcfvnliE5MBAAUr1yJpVOmhKTcpVOn4p0LLkBVqWaYRcbG4vjHH8eQs88OSflOCPc71VWVFWP9vGnWct7oU12sjXMiIqKRm3uitbx8+dsu1obc9OOPP+LJJ5+0lm+99Vb07dt3j39vH1Y3Z86coNaNiMiOAScictwA+8Th+ziszieC/9qG052Um+t4vYhCpV1WCjxenYS7ZEc5qqvCZ2Jln0+woY3O32SXlpaGIeeeay3/9NRTqA/iBNgigp+few6fXH89fEY58RkZOO3ll5E3ZkzQyg2G/v37W88LCwtRVVXlYm1+b/XMD+Gr0+Fm7br3R1rn1nMHxtzck+HxaPN969ZZ2LVrtcs1olArKSnBVVddZd1h85BDDsHFF1/8h//DgBMRuYUBJyJyXN9mTBw+c8sWbNq9GwCQHBODMZ07B6VuRKEQGRWB9A7JuiDAdmO+pHCwfVMJqis14BGXGIP0zGSXa+SeIWefjZhkXf+Sdeuw6MMPg1JOXV0dbrrpJvzw8MPWa+m5uZj85pvIsgVvWork5GT06NEDgK7b4sWLXa6Rn/h8WDn9fWs5d9TJLtbGeQkJWejU6VBrefnyd/7gr6m1ERHceOON2LJlCwANnD/66KPWHE170njicDNYRUQUbAw4EZHj7HeqW1hcvE8Nmw9s2U3H5OQgpgXMY0L0R+zzOIXTsLrGd6fzeDwu1sZdscnJGHrhhdbyjKeeQl1NjaNllJeX49xzz8Vrr71mvdZl6FBMfv11pLbgwHq4DqvbWvgzyratBwBExyWh65CjXK6R8/LzT7Oer179IWpqdrlYGwqlt99+G1Nsw38feeQRZGZm7vX/8vLykJSUBADYtm0bNmzYELQ6EhHZMeBERI7rlpSEpGi9/fTOqiorc2lPdlRV4ZuNG61lDqej1iBc53Gyz9/UuY0Op7MbPHky4oy7a5Zt2YIF777r2Htv3rwZxx9/PL755hvrtT7HHIOTnnkGscktO7PMHnAyJy4OByumv2c9737wMYiMDu87/jVHZuYwpKR0BwDU1u7G8uVvuVwjCoXVq1fjtttus5bPOeccjBs3bp/+1+v1YtCgQdby3Lm80TcRhQYDTkTkOK/HgwLjAg7Y+8ThH61ejTqfDwAwsF075KakBLV+RKHQodGd6sJhCENVRQ2KNmnwy+P1oFOPdi7XyH3RCQkYZpv/ZOYzz6DWuM14IBYvXoxJkyY1GG42/PLLMfHeexFpBORbsnDMcKos3YaNv/mDe7mjTnGxNsHj8XjRp48/M6+w8DXU1VW4WCMKttraWlxxxRWoqNDvOS8vD3feeed+vYd9WN3s2bMdrR8R0Z5Eul0BImqd+qen42djjoEFO3bgqK5dm/w7aTRZ+InMbqJWIiUjEVExkaitrkNleTV276pCYoq72RYbVm0DjLhXh+xUxMa1/MCHEwaedhp+efFF7C4qwu5t2zDvrbdw0PnnN/v9vv32W1x88cXYbWR3RkZG4oEHHkDhkUc6VWXX9evXDx6PByKCZcuWoWNVFSJjY12t06qf/gufrx4A0CF/CFKyerhan2Dq1m08Fix4Crt3b0J1dSlWrvwAvXqd5Xa1KEgefPBBzJs3DwAQFRWFlJTLcMklC/brPTZtikdJic7f9/zzX2P16km/+5tXXhkacF2JiOyY4UREQdG/nT9z4o/uVDd72zasLSsDACRGRWHcHgJTRC2N1+tB++xUazkchtXZ707H4XR+UbGxGH7JJdbyrOeeQ3V5ebPea/677+Lss8+2gk1JSUl4/fXXcdppp+3lP1uWhIQE5OfnAwB8Ph9KVq1ytT4+X32D4XR5rTS7yeT1RqFPn/Os5aVLX0Z9vbPzj1F4mDFjBp544glr+eabb0Za2v53zmVk9Lael5SshM9X50j9iIj+CANORBQUfW1D6hYXF6PWGDLX2Pu27KaJOTmIj2TiJbUe9oDTtk0lrtUDAMQnDeZv6pLHgJNd/5NPRnJ2NgCgcudOzHn99f36f5/Ph+8feQRf3Hkn6us1yyY7OxsffvghRo8e7Xh9w4F9Tpidy5e7VxEAmxf9iIqdWwEAMYmp6Dz4CFfrEwo9ehyP2Fi9SUdFRRHWrPnE5RqR02pqynHllVdaQ7JHjx6NS2zB8f0RE5OChISOAACfrxYlJe4GiYmobWDAiYiCon1cHDLj4wEA1fX1WFn6+9vCl1ZX48v1661lDqej1qZDp/CZOHz71lJU7q4GAMQmRKNdR86VZhcRFYURV1xhLf/6wguo2rVvd/+qq67GlBtvxKxnn7Ve69+/P6ZMmYLevXv/wX+2bPZ5nNwOOK2c7p/svcfw4xER2fqHi0ZExKB377Ot5SVLXmDWSisiIpgz53Fs3rwZAJCamorHHnsMXm/zL9/S03tZz4uLlwZcR2odFi9ejK+++gq+PXQOEwWCASciCpoBGRnW8wVNDKubsnYtao1MgIL0dPRJS/vd3xC1ZPYMp+2bS+Grd68x1+DudD06wOP1uFaXcNXnmGOQ2q0bAKC6rAy/vvTSXv+nsqQE7154IQqnTrVeGzt2LD744IN9ul15SzZgwADr+c5ly1yrx+4dm7Bp4Q/Wcu6ok1yrS6jl5Z2K6Gi93X1Z2XqsXz/N5RqRU9aunYYNG6Zbyw8//HDAx5T0dH8AvLi4MKD3otahsLAQ48aNw9lnn41nbZ0mRE5hwImIgqavLeDUeB4nEWkwnI7ZTdQaJSTFIiFZJwqvq63Hzu3NmxfICetX+Odv6pLb3rV6hLOIyEiMtGU5zX71VVTs3HNm2s516/D6GWdg45w51msDTz8dL7zwAhISEoJa13DQt29fREREAADKNm5ErTFvVait/OkDa8hRx94HI6l925kLMCoqAT17TraWFy9+LizuiEmBKS/fhHnz/mMtn3XWWRg/fnzA75ue3tN6zoATAcC0adOszKZXXnmFxw9yHANORBQ0/e0Bp+LiBr+bv2MHVpSUAABiIyMxwcgqIGptOnRKtZ67NayuurLWX7YH6NSDAac96TVhAjKMybBrd+/GL88/3+TfbZo3D2+ccQZK1q61Xjv0xhsx9vbbEdlG5qKLjY1Fr17+ITo7bZ0IoeKrq8Wqn/5nLeeNbt2ThTelZ8/JiIzUwHZJyXJs2vS9yzWiQPh8dZg16wHU1VUBAHJzc/G3v/3NkfdOTc2F16vHp/Lyzaiu/v10B9S2LFy40Hq+evVqFBYyEEnOYsCJiIKmT1oavB4dtrOytBS7a2ut331guzAZ37UrEqOiQl4/olAIhzvVbVy9DeLTXsv2WamIS4hxpR4tgTciAiOvvNJanvvGGygvKmrwN8u++AJvn38+Ko3sp4iYGBzzyCM46Pzz4fG0raGKbs/jtHHBd6gs1eGicSnt0Kn/oSGvg9tiYlKRl3eytcwsp5Zt8eI3UFysQ1S93kg89dRTiDfmxAxUREQUUlP9GeXMcqJFixY1WP70009dqgm1Vgw4EVHQJERFITdFJyYWESw2spzKa2vx2bp11t9xOB21ZvaJw7dtLHGlDutX2obT8e50e5U/diw69OkDAKirqsLPxrwWIoJfXnwRH113HeqrdQL2uLQ0nPbii+h11FGu1ddNbgecVvxgmyx8xAnwRrbNzotevc6xMle2b5+PoqJfXa4RNce2bQuwdOk71nLfvmejf//+jpbRcOJwBpzasoqKCqxslJk6ZcoUl2pDrRUDTkQUVH3T063n5rC6T9esQVWd3kknPzW1weTiRK1Nu6wUa4LundvLUFMd2rtIiUjDCcNzGXDaG4/Hg1FXX20t//bOOyjZsAFf3X03vnvgAcDIHknt1g2T33wT2YMGuVRT99kDTiUrVoS07LJt67Bl6UwAgMfrRe7ItjNZeGPx8R3Qo8dx1vLixc+5WBtqjpqacvzyy0MA9PjSocNA9Ox5ouPl2CcO37GDd6pry5YuXfq7bMglS5ZgzZo17lSIWiUGnIgoqAa0a2c9N+9U98GqVdZrJ+bmtrkhKNS2REVHIq293kUKAmzfXBLS8ncWlaGiTOcCiY6LajDEj/as+yGHIMsIJPlqa/HqySdj3ptvWr/vdMABOPPNN5HWte1MUN2UPn36IMoYEl2+eTNqykM3Mf7K6e9bz7P7jkJCelbIyg5HvXufB49Hm/ZbtszEjh0L9/IfFC5EBHPmPIGKCu0ciIpKxEEHXW99n07KyLDNu7ZzOUTcu3squavxcDoTh9WRkxhwIqKg6mfPcNqxA0uKi7HEyHSKjojA0Tk5LtWMKHQ6NJjHqSSkZduH03Xu3h5eLwO8+6JxllP1rl3W814TJuCU559HXGqqCzULL9HR0ehjDD8EQjesrr6uBqtm/M9azh3V9iYLbywpqSu6dvUP7Vy8uOkJ7yn8rFv3NTZs+MFaPvDAqxEXF5zs7/j4TMTE6HQHtbW7UVa2MSjlUPizB5zsN4BgwImcxIATEQVVbkoKYo07Nm2tqMB/bCe3I7t0QXJ0tFtVIwqZ9vZ5nDaFduLw9Ss4f1NzdR02DF2GDm3w2tCLL8akBx5AZAwnXjc1mMcpRMPqNsz9CtXlJQCAhPSOyOo7MiTlhruCggus5xs2fI3S0tDfOZD2T3n5Jsyd+5S13L37OHTqFLzt2ePxNJrHicPq2ip7wOmaa66x7rA6Z84cbN682a1qUSvDgBMRBVWk14uCNP/F9rcbNljPT+Jk4dRGuJXhVFNVi60biq3lzrntQ1Z2a+DxeHDYTTchOjERETExOPJvf8Mh110Hr5fNJzs3Jg5fMd0/WXjuyJPg9UaEpNxwl5raE506+e/Uxyyn8Obz1WHWrAdRV6fDnhMTszFw4CVBL7dhwGlZ0Muj8FNfX4/FixdbyyNHjsSIESOs5alTp7pRLWqF2GIioqDr18Sk4DnJyTigPS9+qW1IbZ+EqGjtOawoq8IHz32P6VMXYNlv61GyvRziC84tzDeu2Q5fvb53RscUxCfGBqWc1iyzTx9c+s03uOy77zDw1FPdrk5YCnXAqXTzKhQtnw0A8Hoj0GPECUEvsyUpKLjQer5u3WcoL1/vYm2ap/FExq3VkiVvWneK83giMHTojYiMDP5x2h5w4sThbdOaNWtQWVkJAOjQoQPat2+PiRMnWr/nsDpySqTbFSCi1q9/EwGnE3r04GTh1GZ4vR6075SKTau3AwB2bC7Fjs2lWGL8Pjo2Cu2yUtChU5rxSEVcQuBDthrenY4B3uaKTkhwuwphrWfPnvBGRcFXW4uKoiJUl5YiJiUlaOWttGU3dRp4OOJSuG3btWs3EJmZQ7F16yz4fPVYsuRlAAe6Xa19tmjRs1i48D9IS+uF3r3PRefOR8DrbX2XLNu2LcTSpW9by/36nY309J4hKTstLR+AB4Bg1641qKurCkmgi8KHfThd3759AQDjx4/HLbfcAhHBzJkzsWPHDmTwTtIUIGY4EVHQNc5wivR6cWz37i7VhsgdQ8f0QXpmcpO/q6mqxabV2zFv+nJ88fYsvPbwF3jz8a9w6aWX4umnn8Yvv/yCqqqq/SpPRDh/E4VEVFQUUm1DpIuDmOVUWVmJ1TM/tpbzRp0ctLJasoKCi6znq1b9F1u3bnWxNvtu48bvMH/+E/D56rBjxyL8+ONfMGXKsVi27E3U1VW4XT3H1NSU45dfHrQyudq3H4CePU8KWfnR0YlITu4CABDxYefO0AyFpfCxcKH/LpZmwKlDhw446KCDAAA+nw+ff/65K3Wj1oUBJyIKuqz4eKTH+nvOxnTu3GCZqC1on52Kk/50KM65YTwmTD4YQw7rha49MxGb0PTE+eUlFfjoo49w11134bjjjkPPnj1x1FFHYfrUBSictx47t5X94VC8ku3l2L1L0+WjYyLRwTZxOZHT0vLyrOfBHFb30UcfoaayDACQ1L4LMnsNC1pZLVlm5lC0a9cfgM4T9Mwzz7hco72rrNyOWbPu/N3r5eUbMXv2vfjoo/FYsOApVFUVN/HfLYeIYO7cp1BRoRmoUVGJOOig6+HxhPayrOE8ToUhLZvcZ89w6tevn/Wcw+rIaa0vP5WIwo7H48FBmZn4fO1aAMDJnCyc2rCYuCh0zm1vDXETEZSVVGLbpp0o2liCbRt3YvuWUtTX+Rr8X11dHRYsWIBd5Tv3OBSvfXYq4hN1KJ49u6lTj/aIiGAfEwVPWn6+9TyYAafXXnvNep476iR4OIF7kzweDwoKLsL3318DAHj55Zdx1VVXITU11d2K7YGIYNasv6GqSu/iGRfXHj16HIcVK95BdfUuAEB1dSkWLnwaS5a8iB49jkevXmcjKamrm9VulnXrvsb69d9Zy0OGXIX4+HYhr0d6ei+sWfMlAAac2qKmhtQBGnD629/+BgD44YcfsGvXLiQnN52dTbQvGHAiopD486BBSIqKQu+0NAzr2NHt6hCFDY/Hg+S0eCSnxSO3bycAQH29D8VFuzB2wGTMmzcPc+bMwYombjdvDsUz54YCgMTUOHTITkNx0S7rtc65HE5HwRWKgNOiRYswe7YxWXhkJLoffFxQymktsrMPQWpqHkpKVqCiogLPP/88rr/+erer1aQVK97Fpk0/WMsHH/wPdOw4HAUFF2LVqg+xdOkr2L17EwCgvr4Gy5e/gxUr3kPnzkegT5/zAGS6U/H94PPVYdu2BZg799/Wazk5R6Jz51Gu1Ccjo7f1nAGntqWoqAhFRdopFRcXh5ycHOt3nTt3xoABAzB//nzU1tZi2rRpOPHEE12qKbUGDDgRUUh0jI/H7ca4cCL6YxERXrTPSsV5551nvbZr1y7MmzcPtz94NbZtKsG2jSWo3F39u/8tL6lEeUllg9e6cMJwCrKkzp0REROD+upqVBUXo3LHDsQ5PNnsq6++aj3vMmgsYpPSHX3/1sbj8aJPnwsxY8YtAIDnnnsOl1xyCRITE12uWUO7dq3G3LkPWsu9ep2Jjh2HAwAiI+PRs+cZyMs7BRs2fIUlS15EcbHmeIr4sH79l1i//kucdNJIXH755RgzZkxY3ZCkuroUW7bMxubNs7B16xzU1u62fpeYmI2BAy9xrW5JSV0RGRmLuroqVFbuQEXF9r3/E7UK9uymgoICRERENPj9pEmTMH/+fAA6rI4BJwoEA05EREQtQHJyMg455BAc8LPexUhEUF5aiaKNJSjauHOPQ/EyslKQkBznRpWpDfFGRCA1Nxc7Fi8GAOxcscLRgFN5eTnef/99azlv9KmOvXdr1rXrOCxY8CSATSgtLcVrr72GSy+91O1qWXy+WsyYcQvq6zV4npKSi4EDr/nd33m9keja9Sh06TIOW7fOwtKlL2Hz5p+s38+YMQMzZsxAr169cNlll+GEE04I2TrYiehd3zZtmoUtW35BcfFSa2JwO683EkOH3oioKPeOzV5vBNLS8rFt2wIAQHHxUgAT//ifqFXY0/xNpokTJ+Kf//wnAODrr79GRUUF4uPjQ1Y/al0YcCIiImqBPB4PklLjkZQaj9y+2QB0KN7OojIUbdyJok0lqK+tx+BR+Xt5JyJnpOfn+wNOy5cje5hzE3r/73//w+7dmh2S0rE72ucd4Nh7t2ZebyT69Dkfy5ffAwB4+umncf755yMmJsblmqkFC/5jZSx5vZEYMeJeRETsuW4ejwcdOw5Dx47DsHNnIZYufRnr1n0OQAPthYWFuPbaa3HvvfciKupI9OgxHlFRCUFdh8rKSkyfPh1z5ryGzZtnobJyz5lCcXEZyMoaitzcSUhJcf9uvenpvWwBJw6rayuaukOdXW5uLnr27Illy5ahqqoK3377bYPJxIn2BwNORERErUREhBftslLQLisFBW5XhtqcYM3jJCJ45ZVXrOW80aeG1bCpcNe9+7HYtes5bN26FVu3bsU777yDs88+2+1qoahoDpYsed5aHjjwGqSm9tzn/09L64Xhw/8PAwZchd69/4fXX3/dCkpu2bIFJSUvYOnSt9C9+wTk5x+HuDjnMu42btyIadOmYdq0aZg+fTqqq6tRUlLbxF96kJ7eC1lZQ5GVdRBSUrqH1babns55nNqiPU0Ybjdp0iQsW7YMADBlyhQGnKjZGHAiIiIiooA1CDitWAERceTiet68eVaPfExMDHKGHR3we7YlERHRuPTSS3HXXXcBAJ588kmcccYZiIx07zKgpqYMM2feag03y8wcil69zmrWeyUkZOFvf/sbrrvuOrz66qt47rnnrAmRa2srsGzZ+1ix4kN06XIYevU6CcnJ+39nO5+vHsXFhdi8eRaOOOIWLFmyZI9/GxWVgMzMA5CVdRA6djwQMTEpzVqvUEhP9wf4du5cjtraWkRFRblYIwq2iooKrFq1CgDg9XrRu3fvJv9u4sSJeOSRRwAA06ZNQ01NDaKjo0NWT2o9GHAiIiIiooAlZmcjMi4OdZWVqC4pQeX27YhvH/iE9fbspuOPPx674nmL7v111lln4dFHH0VJSQnWrVuHjz76yNWJgGfP/id2794MAIiOTsbBB98Nj8cb0HumpKTgyiuvxJ/+9Ce8//77uPba+1BWthGA3iFu7dppWLt2GrKyhqJnzxPRrl2/PwyI1tSUYcuWOdiyZRa2bPkVNTXlAIDU1N8HZPLz81Fa2htZWUORkdEHXm/LuMSKi8tAfHx7VFRsQ319DQoLC5uc04dajyVLlliB3tzcXMTFNT2PWEFBAbp27Yp169ahrKwM06dPx5gxY0JZVWolAjuyExEREREB8Hi9SMvLs5adGFa3a9cufPjhh9ZyOAwFa4kSEhJw0UUXWcuPP/44fD7fH/xH8Kxd+xnWrJliLR900O2Ij8907P2jo6NxxhlnYNy4/2DEiNuRkdGnwe83b56F7767Gd98cz02bJgOn68egA7dLC1di8LC9/Dtt3/Bxx9PxqxZ92Pdum+tYJMpKioKhx56KO6++27MmDED3333HQYMuBDt2/dvMcEmU3p6L+v5nDlzXKwJhcK+DKcDdL60SZMmWctTpkzZ498S/REGnIiIiIjIEU7P4/Tee++hqqoKgF4cDR48OOD3bKsuuOACJCToBNqFhYX48ssvQ16Hioot+PXXu63l7t2PRdeu44JSlsfjRXb2wTj88Adx+OEPIjv7YAD+jKbi4kLMnPlPfPHFJZg9+1FMnXohvvzycixY8CK2b18EkYYBudjYdHTvPg4vvPACFi9ejDfffBMXXHABunXrFpT6hwoDTm3L3u5QZ2eft+nzzz9HXV1d0OpFrVfLCsETERERUdiyB5yKjQlnm6vxZOFnn312WE243NKkpqbi3HPPxVNPPQUAeOyxx5CZ+XzIPlOfz4eZM/+KmpoyAEBiYicMGXJTSMrOyOiDESNuR1nZBixb9gHWrv0aPp9O8l1evhnl5Zub+C8P0tPz0bGjTvidmpoLj8eD8eOHhqTOoWKfOJwBp9ZvXzOcAGDw4MHIzMzE1q1bUVxcjJ9//hkjR44MdhWplWGGExERERE5oqmJw5tr+6JF1l2SEhISXJ1zqLW4+OKLrYl/586di61bZ4Ws7Keffhpbt/4KQLOPDj74HkRFJYasfABISuqMIUOuxoQJL6B371MRFZXQ4PeRkXHo1GkkDjzwWhx99KsYM+YRFBScgbS0vFYb7ExLy4XHEwEAWLFiBUpLS12uEQVLfX09Fi9ebC0XFPzx/Wy9Xm+DLKdPP/00aHWj1osBJyIiIiJyRELHjohK1CBCbXk5dm/Z0uz3Wj11qvX8xBNPRGJiaIMTrVFmZibOOOMMa3nx4udCUu6iRYtw7733WssFBReifXv3hkfGxaWjX79zMXHiSzjggCtRUHAmDjnkHhx77FsYPvxW5OQcidjYNNfqF0oRETFITe1uLc+bN8+9ylBQrV692hqinJmZifb7cFOHCRMmWM+nTp3q2txv1HIx4EREREREjvB4PI5MHF5dWooN06dby5ws3DmXXXYZIiI0o2Xr1lnYvv23oJZXVVWFK664ArW1OoQtI6Mv+vW7JKhl7quoqHj06DEBBQWT0aHDoBY34bdT7PM4zZ4928WaUDDtz3A608EHH4y0NA2+btmyBXPnzg1K3aj1YsCJiIiIiBzTeFhdc6yZNg0+Y4LawYMH81btDuratStOOOEEaznYWU533323NTQyMjIWBx/8T3i9UUEtk/aPPeDEgELrtXDhQuv5vgacIiMjcdRRR1nLU22Zp0T7ggEnIiIiInJMeoB3qhOfr8FwunPOOceRepHflVdeaT3fuPF7lJQENsH7nnzzzTd44YUXrOXBg29EcnLLvqtba9R44vBA5l6j8NWcDCcAmDRpkvV8ypQp3D5ovzDgRERERESOsWc4laxYAdnPOT+2zZ+P8s1617Dk5GQce+yxjtaPgJ49ezaYm2Xx4ucdL2PHjh247rrrrOVx48YhN/ckx8uhwCUmZlsTuO/cuRNr1651uUYUDPaA0/5kjY4ePdqaQ2/t2rVYsmSJ43Wj1osBJyIiIiJyTFz79ohJSQEA1FZUWMGjfbXSdiekU045BXFxcY7Wj9TVV19tPV+37guUla1z7L1FBDfeeCOKiooAAO3bt8dDDz3Uau/01tJ5PB7O49TKFRUVYdu2bQCA+Ph4dOu275mG0dHRGDt2rLXMu9XR/mDAiYiIiIgc4/F4Gs7jtB/D6ip37MCmmTOtZU4WHjwDBw5Ex47DAQAiPixZ8qJj7/3mm2/is88+s5YfeeQRZGRkOPb+5LyMDH/Aac6cOS7WhILBnt3Up08f68YB+6rxsDqifcWAExERERE5qrl3qlvz5ZeQ+noAQLu+fdGzZ0/H60Z+ffteZD1fvfojVFQUBfyeZWVrcfvtt1vL559/PsaMGRPw+1Jw2TOcGHBqfZo7nM50+OGHIzY2FgBQWFiIlStXOlY3at0YcCIiIiIiRzUnw8lXX4/Vn39uLfeYONHxelFD7dsPQbt2AwEAPl8dli59OaD38/lqMWPGraisrAQA5Ofn47bbbgu4nhR89oDTokWLUFVV5WJtyGn2O9Q1J+AUHx+Pww8/3FrmsDraVww4EREREZGjGkwcvnIlfEbW0h/ZOmcOKow5f6KTk9Fp5Mig1Y+Ux+NBQYE/y2nlyvdQXb2z2e+3aNGz2LFDL2yjoqLw5JNPcg6uFiI6Ogk9evQAANTV1TUIUFDLZ/8+9+cOdXYTbZ0ADDjRvmLAiYiIiIgcFZeRgdj0dABAXVUVyjZs2Ov/rLJdwOSMHYuIqKig1Y/8srNHIzVVA4R1dVVYtuyNZr3P9u2/YdGiZ63lm266qVmZFOSeIUOGWM85rK712L17N1avXg0A8Hq96N27d7Pe58gjj0SUcVz+7bffsHHjRsfqSK0XA05ERERE5Lj9GVZXsW0btvzyi7XcfcKEoNWLGvJ4POjb92JredmyN1FbW75f71FbuxszZtwKER8AYPjw4bjkkkscrScF3+DBg63nDDi1HkuXLoWIAADy8vKsuZj2V3JyMkaNGmUtM8uJ9gUDTkRERETkuP0JOK3+/HPrgqjDoEFIys4Oat2ooc6dxyIpqQsAoKamDCtWvLtf/z9nzn0oL9cstujoJDz22GP7fRcsch8znFonJ4bTmTisjvYXA05ERERE5LgGAacVK/b4d766uoaThTO7KeS83gj06XOhtbx06auoq9u3SaPXr/8Sq1Z9aC0feOBf0alTJ8frSMHXu3dvxMTEAAA2bNiAoqLA71pI7rPfoS7QgNNRRx0Fr1dDCLNmzeI2QnvFgBMREREROS4tL896XrJyJXx1dU3+3eZZs1BVXAwAiE1LQ/bBB4ekftRQ9+5HIz4+EwBQVbUDq1f/b6//U1FRhF9++bu13K3bBHTrxoBhSxUVFYWBAwday3PnznWxNuQUe8Ap0HnV2rVrh2HDhgEARASf2zoLiJrCgBMREREROS42NRXx7dsDAHy1tdi1bl2Tf9dgsvBx4+CNjAxJ/aghrzcKvXufay0vWfISfL7aPf69iA8//3w7qqt3AQASEjriwAP/GvR6UnAdcMAB1nMOq2v56urqsHjxYmu5oKAg4PfksDraHww4EREREVFQ7G0ep/LNm7HVzKLweND9qKNCVTVqQm7uCYiJSQUA7N69GWvXTt3j3y5b9ga2bJkJQCceP/jgexAdnRSKalIQMeDUuqxevRrV1dUAgMzMTLRr1y7g95xgG/b8448/orS0NOD3pNaLASciIiIiCoq9zeO0+rPPrOdZBx6IhMzMkNSLmhYZGY9evc6ylhcvfsG685xdScky/Pbbv6zlPn3OR4cOB4aiihRk9oDTvHnzUF9f72JtKFBODqczZWdnW3c0rKurwxdffOHI+1LrxIATEREREQXFH2U41dfWYs2XX1rL3TlZeFjIzz8dUVEJAIBdu1Zjw4avG/y+vr4aM2bcivp6HW6Xnt4H/ftfHvJ6UnBkZWUh0wj87t69G8uWLXO5RhQIJ+9QZ2cfVjdlyhTH3pdaHwaciIiIiCgo7BOHl65ejfpa/5xAm376CdXGUIy4du3Q8UBmyISD6Ogk5OefZi0vXvw8RMRanj//cZSUaPAwIiIGw4f/E15vVMjrScHh8XgaZDlx4vCWzck71NnZA07ffvstdu/e7dh7U+vCgBMRERERBUV0UhISOnYEAPjq6rBrzRrrd6um+ucH6j5+PLwREaGuHu1Bz55nIiIiGgBQXLwYW7bMAABs2TITS5e+av3d4MF/RnJyd1fqSMFjDzjNnj3bxZpQIESkQYaTU0PqAKB79+7o06cPAKCmpgZff/31Xv6D2ioGnIiIiIgoaJoaVrdr/XpsW7AAAODxetF93DhX6kZNi4trhx49TrSWFy9+DtXVpZg58zbrtezs0cjLO62pf6cWjhlOrUNRURF27NgBAIiPj0e3bt0cfX8Oq6N9wYATEREREQWNfVidGXBabctuyj74YMRlZIS8XvTH+vQ5F15vJACgqGg2vv32UlRWbgMAxMamYejQv8Hj8bhZRQqSAQMGwOvVy8TCwkKUlZW5XCNqDvtwuoKCAus7dYo94PTVV19Zd8MjsmPAiYiIiIiCxp7hVLx8Oeqrq7Fm2jTrtR6cLDwsJSRkIydnkrVcXLzYej506F2Iiwv89uoUnhISEtC7d28AOizrt99+c7lG1BzBuEOdXe/evZGTkwNAJ5j//vvvHS+DWj4GnIiIiIgoaOwZTrvWrsXar75CrTHBbELHjugwaJBLNaO96dPngt9lMeXlnYxOnQ51qUYUKvZhdXPmzHGxJtRcwZow3OTxeDBpkj8o/emnnzpeBrV8DDgRERERUdBEJSQgqVMnAID4fFj4yivW73pMmACPw8M8yDnJyTno0uVIazkpqRsGD77exRpRqAwZMsR6zoBTy2SfMDwYASeg4bC6zz//HLW2O5ESAQw4EREREVGQ2YfV1RjzwXgjI5Fz5JF7+hcKEwMHXoOkpK5ISMjGyJEPIDIy3u0qUQgMHjzYej537lyIiIu1of21e/durF69GgAQERFhDZF02qBBg5CVlQUAKCkpwcyZM4NSDrVcDDgRERERUVDZA06mTiNGICYlxYXa0P5ITOyMo4/+GMceOxVpab3crg6FSF5eHpKSkgAA27Ztw4YNG1yuEe2PJUuWWEHCvLw8xMbGBqUcj8fTIMuJw+qoMQaciIiIiCiomgo49bBdpBBRePF6vRhkm19t7ty57lWG9lsohtOZ7AGnqVOnwufzBbU8alkYcCIiIiKioErp0aPB5NNJnTujXRDumkREzrHP4zR79mwXa0L7K9gThtsNHToUGRkZAICioiJuK9QAA05EREREFFRRcXFI6tLFWu4xceLv7n5GROHFPo8TJw5vWewBp35BDu5HRERg/Pjx1jKH1ZEdA05EREREFHS5Rx8NeDxIzM5GtyOOcLs6RLQXBxxwgPV8wYIFvANZC1FXV4clS5ZYywUFBUEv0z6sbsqUKZxkniwMOBERERFR0OVOmoSjX30V4/79b0QnJrpdHSLai4yMDHTr1g0AUFNT0yBrhsLXqlWrUF1dDQDo2LGjNdwtmEaNGoXk5GQAwIYNGxrMIUVtGwNORERERBQSsWlp8EZGul0NItpH9iwnDqtrGUI5nM4UFRWFI4880lqeMmVKSMql8MeAExEREREREf0OA04tTygnDLebNGmS9ZzzOJGJASciIiIiIiL6HQacWh77cLZQBpwOPfRQxMXFAQBWrFiB5cuXh6xsCl/MaSYiIiIiIqLf6du3L0oraiG+esxbuBQn3fwiYuKdmYPtjTtOceR9yE9EXBlSBwBxcXEYM2aMNZxuypQpuPbaa0NWPoUnZjgRERERERHR70RHRyM1s6u1vHPzKhdrQ3tTVFSEHTt2AAASEhLQtWvXvfyHszisjhpjwImIiIiIiIialJbV3Xq+c/Ma9ypCe2UfTldQUACvN7SX+0cccQSioqKsuqxduzak5VP4YcCJiIiIiIiImpRuCzgVM8MprLk1nM6UlJSEQw891FqeOnVqyOtA4YUBJyIiIiIiImpSWlYP6/nOLWsgPp+LtaE/4tYd6uwmTpxoPeewOuKk4URERERERNSk+JQMRMcloqayHHXVlSjfWYSkjI5BKWvy398Nyvu2lQnK3bpDnd24ceMQERGB+vp6/Prrr9i6dSsyMzNdqQu5jxlORERERERE1CSPx9NgHicOqwtP5eXlWLNmDQAgIiICvXr1cqUe6enpGD58uLXMYXVtGwNOREREREREtEfp9mF1m1e7WBPak6VLl0JEAAB5eXmIjY11rS4TJkywnnNYXdvGgBMRERERERHtUXq2P+BUvIkZTuEoHIbTmezzOM2YMQM7d+50sTbkJgaciIiIiIiIaI9SO3aznpdt34S6mmoXa0NNCYcJw02ZmZkYMmQIAKC+vh5ffPGFq/Uh9zDgRERERERERHsUFROHpIxsAICIDyVb17pcI2rMnuHUv39/F2ui7FlOU6ZMcbEm5CYGnIiIiIiIiOgPpWXlWM85j1N4qaurw5IlS6zlgoICF2uj7AGn7777DmVlZS7WhtzCgBMRERERERH9oQbzODHgFFZWrlyJmpoaAEBWVhbS09NdrhHQrVs3a2hfbW0tvv76a5drRG5gwImIiIiIiIj+UFpWd+s5M5zCi33+pn79+rlYk4Y4rI4YcCIiIiIiIqI/lJSRjYioaABAVXkJKst457FwEU4ThttNmjTJev7VV1+hqqrKxdqQGxhwIiIiIiIioj/k9XqR1jHHWuawuvBhnzA8nAJO+fn5yM3NBQBUVlbi22+/dbdCFHIMOBEREREREdFeNRhWt2mVizUhk4iEbYaTx+NpkOX06aefulgbcgMDTkRERERERLRXaVn+icM5j1N42Lp1K4qLiwEAiYmJ6Nq1q8s1asg+j9MXX3yB2tpaF2tDocaAExEREREREe1VWlaO9Xzn1rXw1de5VxkC0HA4XUFBAbze8LrE79+/Pzp37gwA2LVrF3788UeXa0ShFF5bIxEREREREYWluMRUxCWlAwB8dbXYtX2TyzWicB1OZ/J4PA2ynDisrm1hwImIiIiIiIj2SYN5nDisznX2gFO/fv1crMme2QNOn332Gerr612sDYUSA05ERERERES0T9JtASfeqc594XqHOrsDDzwQHTp0AABs374dv/zyi8s1olBhwImIiIiIiIj2SVo2M5zCRXl5OdasWQMAiIiIQK9evdyt0B54vV6MHz/eWuawuraDASciIiIiIiLaJ6kdusJjTExdXrwFNVUVLteo7VqyZIn1PD8/HzExMS7W5o81nsdJRFysDYVKpNsVICIiIiIiopYhIioaye07o3TrOgBAyZY16JBT4HKtmmfy398Nyvu+cccpQXnfxlrCcDrT8OHDkZKSgtLSUmzatAlTpkzB0Ucf7Xa1KMiY4URERERERET7LD2rh/W8eNMqF2vStoX7HersoqKicPLJJ1vLt99+O8rKylysEYUCA05ERERERES0z3inuvDQEu5QZ3fDDTegXbt2AICtW7fi/vvvd7lGFGwMOBEREREREdE+S8+2ZThtXt2q5+Opr6vFil++xIpfp8Hn87ldHUtdXV2DOZzCPcMJAFJSUnDXXXdZyy+++CLmz5/vYo0o2BhwIiIiIiIion2WkNoeUbHxAIDaqt3YXbLN5RoFR3VFGaa//RAWfvceFn77Llb88oXbVbKsWLECNTU1AIDs7GykpaW5XKN9c/zxx2P06NEAAJ/Ph7/85S+or693uVYULAw4ERERERER0T7zeDyNhtW1vnmcdm3fhO9ev7fBkMHlv3yBupoqF2vl15Lmb7LzeDy47777EB0dDQCYP38+XnrpJXcrRUHDgBMRERERERHtl7SO/oBT8abWNY9T0dol+P7N+1FRur3B67VVu7Hmtx9cqlVDLW3+JrucnBxcc8011vJ9992HLVu2uFgjChYGnIiIiIiIiGi/2Odxak0Th6/+7XvMeO8x1FVXAgAioqLRpWCY9fvlv36B+rpat6pnWbhwofW8JWU4ma644grk5uYCAMrLy3HHHXe4XCMKBgaciIiIiIiIaL/Yh9SVbluP+toaF2sTOJ/Ph4XfvoffvnwdIjo5eGxiKkaffiMGjTsHMQkpAIDq3buwdsGPblYVItJih9SZoqOjcd9991nLn3zyCb766isXa0TBEOl2BYiIiIiIiKhliY6NR2JaJsp3boX4fCgpWo+MTrluV6tZ6mqq8euU57Fl5W/WaykduuDgE65EXFIqACD/oHFY+O27AIDlsz5HzoBR8Ebs3+X05MnvOlLfysqdWL16MwAgMjIWXbp0ceR9Q23EiBE49dRT8c477wAAbr31Vnz77beIi4tzuWbkFAaciIiIiIiIaL+lZXVH+c6tAHRYXUsMOFWWlWDmf59EadE667WOuQNw4KSLEBkdY72WM2A0lv08FTWV5agsK8b6JbPQrd8IN6qMkpL11vOUlM7wen8/cMmp4FZjb7xxiqPvd8cdd+CLL75ASUkJ1q9fj4cffhh//etfHS0jVD755BOMHDmyxdwxMBQ4pI6IiIiIiIj2W1p2y75TXcnWdfju9X82CDblHXgkhh53WYNgEwBERscg78AjreVlMz+Fz+cLWV3tSkvtAaeWmd1kSk9PbzB/09NPP42lS5e6WKPm+fLLL3HJJZdg0qRJWLFihdvVCRsMOBEREREREdF+S8/yTxxe3MImDv/yyy/xw1sPoKq8BADg8Xgx8Mgz0e+wk5vMGAKA7oMORWSMDvfaXbINmwp/DVV1G9i1q/UEnADgtNNOw7BhOjF7XV0d/vKXv7gWzGuOJUuW4PLLL4eIYM2aNbjrrrvcrlLYYMCJiIiIiIiI9ltyu2xrHqPKXcWoKi91uUZ7JyJ49tlncd5551kTnUfGxGH4SVeh+8BD/vB/o2LikHvAGGu58OepEBcCI6WlG6znrSHg5PF4cN999yEqKgoA8Ouvv+LNN990uVb7pqioCOeccw52794NAOjSpQseeeQRl2sVPhhwIiIiIiIiov3mjYhEasdu1vLOLeGd5VRXV4dbb70Vd955J0QEABCfnIFDzvgLOuQU7NN75B4wBhFROtyubPsmbF45P2j1bUptbSV2794GQLOykpKyQlp+sPTs2ROXXXaZtXz33Xdj+/btLtZo76qqqnDBBRdg48aNAIDExES88soraNeuncs1Cx8MOBEREREREVGzNBhWtyl8A067du3C2WefjZdfftl6LS2rOw4982Ykt8ve5/eJjktE90GHWsuFM6dYwatQ2LVro/U8KSkLERFRISs72K699lp066YBzNLS0rAemiYiuPbaazFnzhwAgNfrxdNPP41evXq5XLPwwrvUERERERERUbOkZdknDg/PgNP69etxzjnnoLCw0HrtuOOOQ3H70YiI3P+ATd6QsVg152v46utQunUditYsRmb3vk5WeY8aThjeOSRl7otTT33AkfeJiRmAnTsXAQCee+5lnHbaaRg1apQj7+2khx9+GB999JG1/I9//AOHH364izUKT8xwIiIiIiIiomZpEHDasibsJnsu3rQKkyZNahBs+vOf/4ynnnqqWcEmAIhNTEHOgNHWcuGM0GU5lZS0rgnDG+vQIQ/Z2f7hjTfddBOqq6tdrNHv/fe//8VDDz1kLZ9//vk4//zzXaxR+GLAiYiIiIiIiJolLikNMQkpAID62mos+u59lGxdF9JhZnuyYemvmP72Q9ZcQFFRUXj88cdxww03wOPxBPTeeQeNg8cbAQAo3rQSOzYsD7i++6JhhlPrCzgBQN++4xAZqfNkrV69Gk888YTLNfKbPXs2rrvuOmv50EMPDeuhf25jwImIiIiIiIiaxePxID3bP4/TytnT8O2r9+CLZ2/Fgm/ewY4NK0Ke9SQiKJzxKX795Fn46usAAGlpaXjnnXdw0kknOVJGfHI6uvY92FounPmpI+/7R3y+OpSVbbKWw2lInZNiY5PQu7d/eNpjjz2GlStXulgjtX79epx33nmoqdG7G/bs2RNPP/00IiM5U9GeMOBEREREREREzZZ34FhExsQ1eK1yVzFWzv4KP7z1AD7/z02Y98VrKFqz2AoABUt9XR3mTH0JS3780HqtR48emDJlCoYNG+ZoWflDxwNGptS2tUtQvGmVo+/fWHn5Vvh8+vnFxaUhOjoxqOW5KSdnCFJTdTL32tpa3HLLLa5mzZWVleGcc87Bjh07AADp6el4+eWXkZyc7FqdWgIGnIiIiIiIiKjZMjrlYfyl92PocZeic59hvws+VVfswpr5P+Cn9x7Fp0/dgF+nvICpU6eisrLS0XrUVJbjp/f+hfWLZ1qvtevSC1OmTEFOTo6jZQFAYloHdO491FoOdpaTfThdcnLrzG4yeTxeDBgwCV6vhiymT5+O999/35W61NXV4bLLLrPmAYuKisILL7xg3VGP9oy5X0RERERERBSQyKhoZOcPRnb+YPjq67BtXSE2LZ+LzSvmoaaizPq7uupKbFjyMy688ELExsZizJgxmDhxIsaOHRtQ+eXFWzHjg8exu2Sb9VrXfiMx6MjJSElJCei9/0jPYeOxYcnPAICtqxagtGhD0MoqLfW/d2pq16CVEy5SUjrioosuwjPPPAMAuOuuuzB27FikpqaGtB533XUXvv76a2v5oYcewtChQ//gP8jEDCciIiIiIiJyjDciEpnd+2LwuLMw/tL7Mfr0G5E75AjEJac3+Luqqip8+umnuPLKK9G/f3/89N5jWDP/B1Tv3rVf5W1bV4jvXr+3QbCp7yEnYvBRZ8MbEdwci+R22cjOH2wtL/s5eFlOJSXrrOetdcLwxm688UZkZWUBAHbs2IG77747pOW/9NJLeP75563la665BieffHJI69CSMcOJiIiIiIiIgsLr9SKjcx4yOueh32GnoLRoPTYtm4OUmg1Yvtx/Z7fa2lqUrFmEojWLMA+vIaNzPrLyBiE7fzDiUzL2+P5rF/6EeV+8BvHVa3mRURgy8QJ06nlA0NfN1PPgidi0fC4AYGPhbKxYsQJ5eXmOliEibeIOdY0lJCTgnnvuwQUXXAAAeOONN3DqqaeGJMPou+++w+23324tH3300bjxxhuDXm5rwgwnIiIiIiIiCjqPx4PUzK4oGH08vvvuO3z33Xe4+eabMWDAgN/97Y4Ny7Hw23fxxbO34ptX70HhzE9RtmOL9Xvx+bDo+/9i7mcvW8GmmIRkjD7thpAGmwAgNbMrMrv3s5Yff/xxx8uorNyJ2toKAEBkZCzi4/cchGttxo8fj3HjxlnLN910E2pra4Na5rJly/CnP/0J9fW6bQ0cOBCPPvqoNacU7Rt+WkRERERERBRy+fn5uPrqq/HZZ59h1qxZ6H/4qcjonP+7vyvdug5Lpn+Ir168E9NeuBOLf/gffvnkWSyf9Zn1N8ntOuHQM29BWlZOCNfAr9fwSdbzDz74AOvWrfuDv95/9vmbUlK6wGPcHa+tuOeeexAfHw8AKCwstOZ1CoYdO3bgnHPOQVmZzj2WlZWFl156CXFxcXv5T2qMASciIiIiIiJyVefOnZE75AiMPv0GjL/sAQwadxY65PSFxxvR4O/Ki7dg2c9TsWnZHOu1Dt37YvQZf0F8ozmiQik9uwfade0FAKivr8eTTz7p6PuXltrnb2rdd6hrSqdOnXDDDTdYyw899JDjQT0AqKmpwYUXXmi9d3x8PF555RVkZmY6XlZbwIATERERERERhY3YhGTkDBiNESdfjYmXP4ghEy9AVv5geCOjfve3PQYfjoOPvwJRMbEu1LShXsMmWs/feustbNmy5Q/+ev80zHBq/Xeoa8pFF12EgoICADrh/F//+leIiGPvLyK48cYbMWvWLAA6BPTJJ59E3759HSujrWHAiYiIiIiIiMJSVGw8uhQMw7DjLsXEKx7G0OMuQ+c+w5DSoSsGjTsLA444Hd6IiL2/UQi069oLaVndAegk6P/+978de++GE4a3vQwnAIiMjMT9999vDSf86quvMGXKFMfe/4knnsC7775rLd9222046qijHHv/togBJyIiIiIiIgp7kVHRyM4fhAMnXYDDz/krcgaMdrtKDXg8ngZzOb366qvYvn17wO9bW1uBiortRhleJCVlB/yeLdUBBxyAc845x1q+/fbbrbmWAjFlyhT885//tJbPOOMMXHrppQG/b1vHgBMRERERERGRAzK790O/fnrHuqqqKkcmty4t3Wg9T0rKQkREZMDv2ZLdcsst6NChAwBg69atuO+++wJ6v99++w1XXXWVtTxixAjce++9bW5i9mBo21sqERERERERkUM8Hg+uueYaXHzxxQCAl156CVdccQVSUlKa/Z4Nh9N1CbiOLd1FFz2NhIRB2LnzAwDAQw89jlmzdiM1df8zvyord2H69BdQVVWGtLREdO/eHc899xyion4/XxjtPwaciIiIiIiIiBwyYcIE5OfnY/ny5SgvL8fzzz+PP//5z81+Pwacfi87uwDr18/Dtm2rAAjmz/8Uo0adD6933+fzqqurwaxZb6OqSofkpaSk4NVXX0VqamqDvzv11AccrLnfO+/cGJT3DSccUkdERERERETkEK/Xi2uuucZafvbZZ1FeXt7s92t4h7q2OWF4Yx6PB/37T4DXqzk0paWbsWbNr/v8/yI+zJ37P+zatcV4vwg8++yz6NGjR1Dq21Yx4ERERERERETkoGOPPRbdunUDAJSWluKVV15p1vv4fHXYtcs/hxMznPwSEtLRs6d/4vjCwm9RWblrn/53yZJvsGVLobU8YMAEjBo1yvE6tnUMOBERERERERE5KDIyssFE1P/5z39QX1+z3+9TVrYFIvUAgLi4dERHJzhWx9YgN3c4EhPbAdAhcosWfb7X/1m3bh5WrvzJ9h4Ho2vXwUGrY1vGgBMRERERERGRw0455RRkZWUBALZv3441a6bv93twON0f83ojMGDARGt58+al2Lp12R7/fvv2NZg//1NrOTOzJ/r0OSKodWzLGHAiIiIiIiIiclhUVBSuuOIKa3n58s/h89Xt13twwvC9y8johi5dBlrLCxZ8hrq632eT7d5djF9/fc/KGEtOzsQBB5wAj4dhkWDhJ0tEREREREQUBJMnT0a7djrkq6qqBOvWzdyv/2fAad8UFIxFdHQ8AKCyshTLlv3Q4Pe1tZX4+ee3UFtbCQCIiUnE0KGnITIyOuR1bUsYcCIiIiIiIiIKgtjYWFx66aXW8rJlU+Hz1e/T/4oIA077KDo6HgUF/qFxq1bNxK5dWwEAPl89fv31fezevQMA4PVG4qCDTkVcXIordW1LGHAiIiIiIiIiCpJzzjkHKSka3Kio2I6NG3/Zp/+rrNyJ2toKAEBkZBzi4zOCVsfWoHPngcjI0DsDivgwf/6nEPFh4cLPsH37auvvBg8+FmlpndyqZpvCgBMRERERERFRkCQmJuLiiy+2lgsLp0LEt9f/a5jd1Bkejyco9WstPB4P+vefAK83AgCwc+cGzJz5BtaunWP9Ta9ehyE7u69bVWxzwiXgdAqAjwBsBFAOYDaAM5r4u4sBLAdQZfwNp5MnIiIiIiKisHbhhRciMjIWAFBevgWbNs3b6/9wON3+S0pqj9zc4dayPbOpU6f+yM8f5Ua12qxwCTj9GRpoug7AsQC+AfAGgKtsf3MGgP8AeAXABACLAHwCoF9Ia0pERERERES0H1JSUtC9+6HW8rJln0JE/vB/GHBqnvz8UUhISG/wWlpaZwwceDSzxEIsXAJOxwCYDOAdAF8DuAHAm9BAlOlvAF4G8A9oQOo8ACsA3BzCehIRERERERHtt7y8sfB6owBoMGnr1oV/+PelpRus56mpDDjtq4iIKPTvP95ajo9PxUEHnYqIiEgXa9U2hUvAaXsTr80FkG087wGgJzQgZfIBeBea7UREREREREQUtmJiktG9+yHWcmHhlD1mOdXWVqCiQi+TPZ4IJCVlhaSOrUX79rkYMuRE9OgxDCNGnIOYmAS3q9QmhUvAqSnDASwznvc2fi5t9DdLAKQDaB+qShERERERERE1R17eOHg85qTWq7F9e2GTf2fPbkpKyoLXy+yc/ZWd3Rd9+45DXFyK21Vps8I14HQEgOMBPGQspxk/Sxr93c5GvyciIiIiIiIKS3FxqejWbYS1XFj4aZN/Zw84cf4maqnCMeCUA50w/EMALwXyRh6P508ej+dXj8fz67Zt2xyoGhEREREREVHz5eePh8ejl+Lbtxdix46Vv/ub0tJ11vOUlM4hqxuRk8It4JQOYCqAtQDOtL1uZjI1zoVLa/T7BkTkGRE5UEQObN+eo+6IiIiIiIjIXQkJ7dC58zBredmy32c5McOJWoNwCjjFA/gEQDSAowFU2H5nzt3Uu9H/9AZQDIDpS0RERERERNQi9Ozpv4va1q0LUVLiz2jy+eqwa9cma5kBJ2qpwiXgFAm941w+gPEAihr9fhV0AvFTbK95jeWpoaggERERERERkROSkjqiU6ch1rI9y6msbAtE6gEAcXHpiI6OD3n9iJwQLlPdPwVgIoBrAGQYD9NcANUA/gbgNQBrAPwI4FxogGpyCOtJREREREREFLCePSdi48bZAIBNm+Zi165NSE7ORmnpeutvmN1ELVm4ZDiNM34+CmBGo0eW8bs3AVwK4DwAnwEYAB16tzCUFSUiIiIiIiIKVEpKZ2Rm9reWly3TwTsMOFFrES4BpxwAnj081tj+7lkAeQBiABwA4KtQVpKIiIiIiIjIKb16TbSeb9jwC8rLizhhOLUa4RJwIiIiIiIiImpT0tN7oH37PsaSYNmyzxplOHV2p2JEDmDAiYiIiIiIiMgl9iyndet+Qm2t3rA9MjIO8fEZe/o3orDHgBMRERERERGRSzIy8pGenmssifV6SkpneDwedypF5AAGnIiIiIiIiIhc4vF40KvXpN+9zvmbqKVjwImIiIiIiIjIRR06FCAlpWuD11JTGXCilo0BJyIiIiIiIiIXNZXl1DgARdTSMOBERERERERE5LKsrAFIS8sBAMTFpSMpqaO7FSIKUKTbFSAiIiIiIiJq6zweL4YPvwpbtsxHu3a94fXycp1aNm7BRERERERERGEgOjoRXbuOcLsaRI7gkDoiIiIiIiIiInIUA05EREREREREROQoBpyIiIiIiIiIiMhRDDgREREREREREZGjGHAiIiIiIiIiIiJHMeBERERERERERESOYsCJiIiIiIiIiIgcxYATERERERERERE5igEnIiIiIiIiIiJyFANORERERERERETkKAaciIiIiIiIiIjIUQw4ERERERERERGRoxhwIiIiIiIiIiIiRzHgREREREREREREjmLAiYiIiIiIiIiIHMWAExEREREREREROYoBJyIiIiIiIiIichQDTkRERERERERE5CgGnIiIiIiIiIiIyFEMOBERERERERERkaMYcCIiIiIiIiIiIkcx4ERERERERERERI5iwImIiIiIiIiIiBzFgBMRERERERERETmKASciIiIiIiIiInIUA05EREREREREROQoBpyIiIiIiIiIiMhRDDgREREREREREZGjGHAiIiIiIiIiIiJHMeBERERERERERESOYsCJiIiIiIiIiIgcxYATERERERERERE5igEnIiIiIiIiIiJyFANORERERERERETkKAaciIiIiIiIiIjIUQw4ERERERERERGRoxhwIiIiIiIiIiIiRzHgREREREREREREjmLAiYiIiIiIiIiIHMWAExEREREREREROYoBJyIiIiIiIiIichQDTkRERERERERE5CgGnIiIiIiIiIiIyFEMOBERERERERERkaMYcCIiIiIiIiIiIkcx4ERERERERERERI5iwImIiIiIiIiIiBzFgBMRERERERERETmKASciIiIiIiIiInIUA05EREREREREROQoBpyIiIiIiIiIiMhRDDgREREREREREZGjGHAiIiIiIiIiIiJHMeBERERERERERESOYsCJiIiIiIiIiIgcxYATERERERERERE5igEnIiIiIiIiIiJyFANORERERERERETkKAaciIiIiIiIiIjIUQw4ERERERERERGRoxhwIiIiIiIiIiIiRzHgREREREREREREjmLAiYiIiIiIiIiIHMWAExEREREREREROYoBJyIiIiIiIiIichQDTkRERERERERE5CgGnIiIiIiIiIiIyFEMOBERERERERERkaMYcCIiIiIiIiIiIkcx4ERERERERERERI5iwImIiIiIiIiIiBzFgBMRERERERERETmKASciIiIiIiIiInIUA05EREREREREROQoBpyIiIiIiIiIiMhRDDgREREREREREZGjGHAiIiIiIiIiIiJHMeBERERERERERESOYsCJiIiIiIiIiIgcxYATERERERERERE5igEnIiIiIiIiIiJyFANORERERERERETkKAaciIiIiIiIiIjIUQw4ERERERERERGRoxhwIiIiIiIiIiIiRzHgREREREREREREjmLAiYiIiIiIiIiIHMWAExEREREREREROYoBJyIiIiIiIiIichQDTkRERERERERE5CgGnIiIiIiIiIiIyFEMOBERERERERERkaMYcCIiIiIiIiIiIkcx4ERERERERERERI5iwImIiIiIiIiIiBzFgBMRERERERERETmKASciIiIiIiIiInIUA05EREREREREROQoBpyIiIiIiIiIiMhRDDgREREREREREZGjGHAiIiIiIiIiIiJHMeBERERERERERESOYsCJiIiIiIiIiIgcxYATERERERERERE5igEnIiIiIiIiIiJyFANORERERERERETkKAaciIiIiIiIiIjIUQw4ERERERERERGRoxhwIiIiIiIiIiIiRzHgREREREREREREjmLAiYiIiIiIiIiIHMWAExEREREREREROYoBJyIiIiIiIiIichQDTkRERERERERE5CgGnIiIiIiIiIiIyFEMOBERERERERERkaMYcCIiIiIiIiIiIkcx4ERERERERERERI5iwImIiIiIiIiIiBzFgBMRERERERERETmKASciIiIiIiIiInIUA05EREREREREROQoBpyIiIiIiIiIiMhRDDgREREREREREZGjGHAiIiIiIiIiIiJHMeBERERERERERESOYsCJiIiIiIiIiIgcxYATERERERERERE5igEnIiIiIiIiIiJyFANORERERERERETkKAaciIiIiIiIiIjIUQw4ERERERERERGRo1pawKkAwFcAKgBsAvB3ABGu1oiIiIiIiIiIiBqIdLsC+yENwDQAiwEcByAXwEPQoNltLtaLiIiIiIiIiIhsWlLA6VIAcQBOBLALwJcAkgH8DcD9xmtEREREREREROSyljSkbgKAz9EwsPQWNAh1qCs1IiIiIiIiIiKi32lJAafeAJY2em0ddD6n3qGvDhERERERERERNcUjIm7XYV/VArgRwL8avb4BwCsAbm38Dx6P508A/mQs9gJQGMT6haN2ALa30vJa87qFujyuW8ssrzWvW6jL47q1zPJa87qFujyuW8ssrzWvW6jL47q1zPJa87qFujyuW8stL1x0E5H2jV9sSXM47TcReQbAM27Xwy0ej+dXETmwNZbXmtct1OVx3Vpmea153UJdHtetZZbXmtct1OVx3Vpmea153UJdHtetZZbXmtct1OVx3VpueeGuJQ2p2wkgpYnX04zfERERERERERFRGGhJAael+P1cTV0AxOP3czsREREREREREZFLWlLAaSqAowAk2V47DUAlgO9cqVH4C/VwwlCW15rXLdTlcd1aZnmted1CXR7XrWWW15rXLdTlcd1aZnmted1CXR7XrWWW15rXLdTlcd1abnlhrSVNGp4GYDGAhQDuA9ADwMPQScRvc69aRERERERERERk15ICTgBQAOAJAMMBlAB4DsDfANS7VyUiIiIiIiIiIrJraQEnIiIiIiIiIiIKcy1pDidqyON2BahZegGY6HYlKOzZ9++uISgvOgRltAV9AZwZwvJ4Hmi5YtyuQJBwm6RwFMrtsrXvA/1CWNZw6HmVAtfat0sKYww4tUweAGZq2kAAGSEob19eC1ZZwRTK8mIAnAhgEoDxISzXLpjr6/Z3F4ryPXt47nQZ5v59CXSOuvgglQUAHQD8BcBBQSzDztPoZyjKAoCUIJcVDf0MxwM4PchlAQ23k0HQeQ6DXV4oteYLxFQAnwMYFoKyQn3+NrfJ/CCV4Sa3jl2mYLbZQ7mdhJp9uzwMDW8+FMyyOgCICGJZZnn2n8E2FMBXCF0bdhSA/+L3dykPhlB/lqFk3y5zQlSe/Se1cQw4tUzmQeN66ATqwbwYtR+kjoMGS4YZrzl9ILGXdTCAPOMRLI3L64TgZZN4AVQDeBDATujneEiQyjKZ3093AO2ggUlBcPZ7+2d5ODQQ2j0I5TRV3vFGWcEcH2x+lqkAIo3nwfoszfUYDW3U/RVABYJ7kZgP4Fho4CKYzO9tEoD/IPjnIPOzvA4aVEsNQhm9ASQCqIHeTfULAGMBTA5CWXb2dXsKQEIQy7Lvb5MAHAhgcAjKmwjgIQB3QW8UEsyyAOAUAH+CBg6D+XmWAJgCnZPygCCWY67bOOg2ch9023T6/G2+l/k5Xg3gTeh5J9hCdUFj3046A4gNUVljoftBOgBfCMrrBKCj8TxY51TzO+sGIA7BbcMC/vWYDOAmBDej194+vwfBOeeY7N9bLoBkBP+znAXdv+9FcINOZtvgAQDvAXgZwQ1i2z/LbGgHcag6aEOR7Wo/Nt8CIDOIZdk/yy7GciiD5YxthCF+KS3XydBsmRMArIc2gILRIDd35CsB3Ao9SE2Fv9Hq5DZkHqCuAvA49EL7Geh6BoNZ3jXQhvhlAB5FcKL/ZkPxQujFzBHQC5sJQSjLJNAGwf8A3A+9EO5n1MXpfd/+3d1nlPsmgP4Ol9O4vOsB3IiGJ+xgNBLMz/Jj6Db5qvF6MD5LQBuNV0IDaWY6eTAa/14AWwHcDL2gOQ3BDToJgKMB/B+AD6CfX7AvGC8FcBL0grsEQJTDZQ6H/5gRBd02fgAwBsEPOp0E4AwARwHYAN1egnEesB8rb4Ou273Q4FMwmNvJPwB8Cg1gvwWgT5DKAoBroY3xTOi6XYjgZg8/AOAVAC8geEEngWZ0PAjgF2hb4W1ou8HJ44k9Y+RMAGcDOAbAdujFW7DamuaFzWijzEMQvECQ+XldCd3H74IeN53UOCvgSmjQYhSA2dD9IBjsF6PvQdfvtSbq5QQv/MHk/0LblQ8g+Jn6Y6HHlEcA7EBwr38ugnbQ/tUoKwHB2S7N7+1y6Pf1ODQwkx2Esuyf19vQNuUDCF4b1mwzXwF/dvLr0JtHBYP5WV4KPdf8G9rWiwpCWfaAzGXQ9tCt0I6rYDob2ia5A9ruSw5SOfZj5UsA7oauZzA+y8blPWI8coJUlh2zt/YDA04tR1Mb9lzoBcffoSebf8O5BokZKPABGAnt+T0COmxjHfQi4Gg4e8HoAdATwPnQxuoV0Ib/X406OCXS9nwoNLPjUADtoVkKaxGcA+NgABdDT9DjACyCBjGClenUFdoouBJ68fQCgGnQXqJg9JSOBXAq/CnrMdAGZbAyIQZDg5GjASyFZt4diOAEZgZCMy3uhO5vKdC0csD5z/JIaGDwCgC/AhgB3S+c5oHWPQrAZugFVCJ0ONigIJQH6L43FtognwW96HgD+r2ZdXKK+V5DAPwLuj1eCb276Z/h3FCHbtDGTRaAD6EXGi/DH3Rycnhd489nFzSQfB70jq3vQb/HoUEo72DocXkUNHMlDhrsPdahsrKhQ0gB3SbNgF0SNBj6NfRCoJdD5dkdBF2/0dBswlRocOtMODtUsfH3Z14gOhl06gjtkDIVQD+3F6EZVadBgxhOZQ93hXYuDDeWo+C/m/DNAH6EnseD0aMu0G3yUaMeN0C3SScv3OzvdQ708zsD2nN/mlG2U8zvxAc9D5wBPZ9ugbbX34Bz+zbQcHs8DHocOQl6Xs0wygOcOaeaGYM+6DntXujn5zPKfg7aBnNK432th/EYBd2/g5UtBug54VXj5/XQAM0dcG5Ytz1QcAg0SHI69Ng/H/q9pTtUFqDnSrOtnwvdl9+AtofMDsZgGA49V/8Tei54C/q5OpnpZM8IGw8N3l0EbTPUAHgXzg+LtAdIzoBme98ADeAFY1SHuS8Mhh6rk6CZfm9BOz2cYs8KNo+VZnvyZOj2Eqyg07XQ49aLRnnvwvlhmObnmAxtTwZjpE+rxYBTy2CPhneDpgMvB1AMPTDOhJ5wZqNhMKW5oqE9y+8Zyz9CD4qToI27QcbvP4IOnwqkMZIA/wE/FUAdtBd2C7Th/wU0q8Spi4whAG6HvzfNB+BnaM9eVwDnQtfnUDjf22CetJKg2QivAhgAbSCPdeD9o+E/4CcBqIQGLH6EbkNPQg/GTl0ANz7QroCeYE6FBggHA/gOOlfJAAfLM3/GQ3sNL4Re4NwF4Hs4G5w0ifHeXwFYA73IrgFwlgPvbV+vJGiw6QboBc0d0AbISXA2u8M8poyFBtJOh54Pbod+rqdA9xWn1Rk/74M2doZCP8e/QrffQC9s7Nuk2bCZC72Qeg66bnOhwaFAGwrm+fNf0Eb+Duh6XQU9Tr4M3f5PQMMAQHPZzwPRxmOp8fpEaIDrbABFcGbISONhsgnG+58F/d4mAPgNmj1zjANlmdv5lQBqoeeYOmj6/wXQbcQDDeoFOtyt8Xe/BLrPHQP9LA8CsBF6fj0LzrSVzM/zaOgF1CPQ9XgEuq08jcDnUfNAjx8L4D/HVaLhvjwNuq04dcFdCeAb6JDVQUbZJ0H3ucXQ80EP6D7ntK7Q4//RAJYZ5XSBXkw5MSQyD7o9RkO3gSroRY0ZkPkTNFAYaNDJA72A+db2Xl9Bz6cnQrfLbtBz0GdwJnPYvn/3h3Y6zAKwCUAZdP/Og7b9ApUCzXI4xViOgAZzu0HblWdD9/kXoPMeBcq+bgdCt5MXoW2EHOjxzKl5nJo6j8yHfzhwKTTgFA9nAnf50EDuwcZyNbSNtwbadr4P2hZzMjBZD93+vzXe/0fod/YjtKPjfujUBoFq3MarATAd2l5eAz1GrgXwCZwJOvWCHvfNrKl66FDnQuix62bodcgIB8oCfj+Mbij0+DgewBzoMeVeOLNu9rLMa4//Qc+lTwHYDf3uPHAmI64X9BxgJj14oPv7adB1fQDaKXwXnGmf2ANX7aHXj8dDs723Q5Mi3oSznbUCbfu/Cz0+90dwp/JoVZwITlDwmRv0n6G9GTugQZIHoDtvPfSC5hhoCmggvNCD/GToTvVvaCrkJmhDYJrxd2ugkfFNAZQVCz3QVkEb2tnQwFkadD3+ZPxdDJxLj9wG7cXebZRRCM3cSob/gv5P0INKIMNh7A2eGGij4FcAM6ANuPehJ9Fp0MbQbwGUZZY3CroeSdBG1oPQA+L10G0F0AZJx6beoBnl2YOgxdBtAtAesKeM54uNv9vtYHk5AFZDGzvvQE9ir0Iv7u+ENh5+DLA8Ux+j7DJoxsVA+L+rn6H7XqDE9rMM2iiogr/H63b4e9tWQBvmTpR5FICHoY2OP0P3g8eN8h6EBqGWGXVqLvN7Gw5tTC2H9kQdDWAl9EK/G/RiIAN60RMI87O8CDq8bCX0Im0adN/fCT1Wng4NKJcEUJZ5wT7aeP8aaHC8GvrdVUC3yzoEvj3at//roPt1OnTf/iv8x5jjoRdTT/3+LfabfY60y6CNx13QwMED0H16C7RjYr4DZX0P/3F/N3SbiIIeQ4qhjf6p0EBlIMcT+2d5CHSdFkGPxxMBLIR+txug+/jbcCY4Y85ddhd0HZ+AXsCNgQadoqHrPAK6zzWnISvGe8ZBjxmzoJ/pxdCLeXPbGWn8TSDMz3EbNGBmBgmvg54/o6H7xFHQc9z2AMtrXG4KNCh4M3SbvBW6rY6AXvjEGr8L5Bgt0OyDPtD9+B3ohc1h0EzsTfBPaZAJHabSHOYcj32g2/sOaCbtBmgQ7Qfj72ZCz38lzSwHaLj9AxoYvAR6HugDHcK9yPjdVwDKAyjLFAsNFBxhvN9U4/VLoAHlOdD2Qz40YFgUYHnm+l0BbcdNN8oeCt0WJ0GPmZ8g8PUzy/oTNKhUDz2PfgH9rEugWa+joZ/DrgDLMzsbjoKeY9ZDj1tnwT8MUuBMtpgX/mPfXdDOmmuhQdCx0H3iTWibfSi07dJcjTtUqqHn72HQ8+mD0OP+L9AgXl0T77G/MqCf03HQwPlW6P7wGbQ9WQY9rjkx9My+fjdBzzMXQTtjT4Set1OgI0jmQs+xNQ6UdQ70+LQQmiRwGHS7qYaudz9oezMQUUZ5GcZ7lkPPCSnQc+wE6Od4GfT4mQI9bzRXMvQc9o3x/nXQfa6HUf4Yo4yToefUw+BMu3kAtK18A3T7fxHawTjDgfdu/USEj5bxOEZEvjaefyciT4uIR0SSRGSiiMwXkX4OljdZRB4VkVUi8qzx2gki8qaIPCcii0SkcwDv7zF+jhaRBSKyXERGGK+liMi3IvKRiNwmIr+JSK8A18djK/NCEVkoIv82yjpJRF4x1vcaEZkjIv0dWDeIyHUi8pSIvCUiySJytIg8KCJTReR2ox65Aa5blojEiMhBIjJNRNaLyCnG73qKyEYReVhErhCReSIyLsDyvI3Wb4mIvGh8VzDW60URuccor2OA5dkf14jIlyLypIicISJRtt+dLSKLRSQvwDLM72+wsR4viUiCUV6RiJwmIieL7nOHBlBOb+O7g4hMEt3uzN/liMi1IvKO6LaYbftbJx7tRLf/niJyhOj+/IDovt1HdL8ocKisY411+4foPn2x7XenGZ/j8Q6u2wUiMt34/spF5DLj9VgROVd0e+0bwPt7Gv38VES+Et1GICKJoseSQhEZ4+B6QUSuMspKN9Zxq4gcYPzuRBGZJYEduxo/zGP+qbbX7hY9Pt8hIstEpItDZR0tIh8bjx9E5GrjM35HdD8sEt1PnFq3S0S3hVki8lfR43A3EdkperxeLrqPOlVerOhxq5/o9v6ViLxrlJNk/E1OAO9vbo/mefkMEfmP6LnAKyIfiJ7nfjE+60DWxdPEa1Eicr3x/Q0zXrvIKG+AQ5+hWe44EXle9DgG0e3iPtvvnpbA9nH7OS7aeO9nRPctr+j2f5yInC8in4hIe4fWb4xoe6FKdD+D6H79luh5aJboNhpIGT1sz0eJyI8ikm8s3yQiM0SPM7eKts3yAyzPfGSLyKWi55hjjddeFD0vjBORnyXwc459uxwmIt+IHo/vEN3fzN9dKnr+S2xmOT1F5GDb8tWix6wDRKRERJ4Q/3Z0vgR+zmm8bleK7s/PiLavDhKRFaJtr6tE5FcJvF1p7gMRoseUv4nI322/P030HJcWYDmN1+1Potv65aLnlp6i2+GjIvIX0bZEoG0he3nXih6H/yl6Dj9WRNYY39ufRI9f3R1YR/Nxougxo6ux3E902+kqehx72/a7QB+Xi8hPoteIu0TkZtFjVZSInCO6XQZ63djT+G46iB4rHhLdVvqKnvMKReR00fPQNBHJdGC9skT34R9E2/wxts/yOdH267lGPTo59Fl2N977DdtrV4set0Y7VEarfnBIXcsRAx0zfSk0En8V/L0Yi6C9HQsDfH/TydCeymehPUQZ0Eyn/0JTWhdCe7s3NLOsxj1sc4z37AztvSuFRqS/gmY8nAbNRAqEGI+roOv3FPQzuxraY3I3NAIeBe0pWhBgWTDKOhbag3cwNKtpITSrxJww+WRoL05zmfXtAu0VWQRgHjR7oxs0Q2UoNLMjFdqzYva8NZfZ4zUcOkb6FADPQ4cW3AgdLjLDqNs50CwIJ5wFHZ50rFHuxdDetjToUI4bjLqsCLAcc16QF6HbYhY0ZXwKNB35EKMeN0N7wZrDC+3BvgOaqTIF+h2Z80KtgfbKZkMnat6BwLN/7N/5dmhGQC2053IUdJ84HDqERKA97YHKhR5DJsI/5GUUNDMH0M/2L9Ce0UCHuHmgPcyDoN9TP+h2+Kzx+xhoj+Gx8PfgN6cMc/825+OYCM20eB86jKccmsn1PwCrmlmOaRj0+wc0IzkZmp11ATRj4GHo3EZ9oVkDxyKwY1fj76AOuq8NhH/o823Q41c1tGd2fQDlmTKg+8Od0KEad0N7KU+AZoTeDc1QmNJEHZvjWOP9+hjldTB+1kAzgD6FZt8uDbAce12roNloVdB9bzL0eJUM4CfoMWFtAGUJtM6fQO809jH0eHIU/DcZORe67p+g+Z+jfR+4Anq8vw+aWfswtNf5ZuiQ6s+MsgPNgAN0WIhAM0WehGZYm1lT66DHlIehmVzvI7B93DzHjYeex16CZtVeBt1WHoSej86F7g+B9NabJkPbV09At4tzofvDB9DhwOuh2ReBbCPJ0EymVGO5C3Tfu9hYvg86pC8Seu45BXosay77NrYJ2oadDc1CGAX/kPGroJ9pIOecxsPoaqEZP5cYZU00fjcemrV2E5qf3dQd/pszdIO2CY6Bnj+/g+5zL0G3o9XQjKrmbo+mxvP+/GjU42po++BY6DmpC3TbCaRdae4DHuhneAE0Qz8J/jk534Z+X4FmSpqTyAP6XZ0Nzcq8BHpOSIPOZ1YKXb9z4Vwm9NXQ4+JKaHv2emib4SL45wQ9H/odNpd9H8iCrl809JgFaPv4a+j28gB0/1yH5jkI/nZJT+g2Pwm6jS6Gfo5XQY9hhdBtNpDrRo/xqIO240qg+1YidKhgHPSa9VLosfMGND8L1CwP0O+/HHptMwP+IXpbofNLPgI9L70DbZs5oQx6LEyHf/joY9CRQE8guHejbB3cjnjxsdfHISJypGj2zy+iPWvm7/4s2pMXFWAZfUSj3RHG8imikXCISKRoZPc30d4UJ9dtvG19xorI66I9ojEiMlQa9sQ192HvyYgQzY45xFjuIhohf0L8EfJAHkeIZhFBNLL/iGiv3p9F5H3RTLEF4s/AaaqXuDmPeNEeqOdEs6gOEu1Jv9ZY51TjO3bqe/OKyEARKRXt2YBoL/AgEfmvaI+lE+V4Gj0/X7S34mrjezxdNNvvVuP7S3Wo3FgReVn828mBxjr9W7QXx9yWmvsd5hrvkyS6zT8p/uyYqeLfJ04SkRdsZTrxWR4q2jt6vGhPV3fxZ1b1FJEp4lxWR7bxs5/o8WuuaKbidaJZTdc6UIa3ideuF90+PrO9dqs4mx1zheg28g/xZ/i8aHx/j4jIUnGml7Kz6DZvZi1FiO7L34vu9xDNTlsigZ8H7Nvy4aLZBu1Ee+2/E81ySgiwjD09OopmVpiZIqmiGR5LRHtpnSwrVTSLZKP4jxkDReQxEblfnO3Nhmjv50nGZwrRHt6XRY8DI0Tk/0QzTQIt5wDR3uRDba8lGGW/Jv5zk1PnnWtFs66HiMhM0WwSs/f6NtHMuEC3SYj2mtt7xW8SPYZAtH0SaTwvEM1uPMSBMmGU8ZP4M0V6ichdIvK4+DPR4hwqC6I98n9ptN47ReROB8uA6LnyEBG5xVg+XrTt0Hg/C3Q7Mf//KNF26nWiWQ/Rolmnz4t/W411qEyIyHmi2T8Hi8gG0eOj+btzRM9xqQGWcYjoKADzeNVetA37k7F8gIj4RLNmnPzuUkSzcQYay4NEj1tPivPHLYhmRL5lPE8VkX8ZZT1o1OPNAN+/r2i2ZYJo1u5DRjlXiLbN/2aUMdSh9bFvX2mimUY5tu/036LnnYwgfJbXiR73jxSR2aLXBebvUkXbX4FmC78keixONpYzRLMmvzGWDxWRatHjZGSAZeWJZtRBtH1yr2jbp700zHTKEm23xAdYnv1xrGj7uZ9o2+5R8WdiDjDqFujICnNbGWY8eom2N6831vNY29/mBFhWm3gwwym8RUPHvh4E7QH9FTrPxenQnq6zoeNWAx2bmgrtOe4O7dXaDu1F6QmNXK+GziHg5MSfx0B77j80lqdB5+Y4BBoh/xjOTCBsvsel0Gj4XOh6JkB7DP9i/O5PCPxOFCXQPqJwLgAAntFJREFU3sGLob3YN0Mz0E6ATqJ6MbQ38S5oD2Kg62fuvxXGzyjo3Yd+g0bd86DZHYsR+ASZ9l4an1HG9dDek4HQzIAFRvndEfj8Afbvbjw0E+FF6Bj+UdCemregWRbtoN9nSYBlmqqgcy2Yt/v9FZo1diB0fpKO8M8Lsr/fYTy0R/w6o4xLoNvEfdB1mADtSfkUeqvcRxD4fBZmPY+FTmJaB+3Zuwi6by+H9jp/Au1ZdCKrIwmaoTUG2oPWBTrXQyG0h/5HaK9eoMxMhBHQDLto6HaYBs1KAzTD4jQE3uNruhh6DL4TOvHt/dDe0POh2+hKaK9pc3sp7eVtgM5f9G/otlAP7RFdA83kOh+aSXUUAj8P2DMz74ZuL9Og6/MwdL1PQsNs2OYy18+cG2MLdH6aJ6A9tCXQ7/Er6DxETpQF6DG+BJrB+xl0nqNU6PHsJeNvApmzrHGZI6HHqeFGWVdCe2HNbKf/QTMipiPwzK0M6Pn0O+j5JRJ6vPwYmp38vfF3zT3v2OuXAT3OHwfNFNsI/b7ehx7774ZmPzkxb8ZY6Nw+5iSxO6GToGdAj2V10KynSGh20/dNvMf+GgHtoT8cuv33h2ZYPAU935oTiVc6UJZ517Sd8E+qDehx+V3ocbo9Ats+MmzPu0PnETod+h39D5odOQB6XjIF2j4RaIbFP6HnluHQ/XsI9DwzH5o50wH+OWSaU6b9cxkJPYc+AD2enAf9bK+HZo5cA22XlTSjHHtZ30P34x+h7Z9t0HPRPOP3edBjzIvNLKdxeaZSaDbTWdDj8DzoZzsBmiHnRLaRXSE0m+Ng6Gf2f9B5gLZArwnMCeWbu20eBT2HHgI9z90OvQY5FrpPvwTNqDoBgd/Ex96mPBO6T9TAv899D52zbzL0vOrEec50HPRGRDcC+NL4OQKaoQ/oZ7sMzc8WLoC2ec6DHoc/gp5Hd0DbmdXG3yVBzwdfILA5sMy50B6AHjdWQK81qqHZuyXQ67gsaEZaBPzXKU44Adp+XAPNmqyAHsvuhLZftiDwkRUCnWv0GWg79jHo9c4j0DbsJPgznQJp67Udbke8+Njjw+wZ7C3ayztCNPp9oYi8KtpjFOjYW3u0v6NoL9ctoj1gl4jOLTHOeD5FApunoHHPVb5oBsLL0rA3YZCITJDAx5/bHyeI9sR2FJ0/5mXR3i+PaJbVOxLYvAhe8WdanCUiFaI9aRDNUPhAREaKZgj8W5yNhh8o2gsF0YySfxuPKNEo//miPW9OlXeKaK/G6aI9FueK9qoPMn4fIc5ki5mP60QzH8zeiwTRMdu3ivbcfyeBj9E2t81BIjJctEdmiGhP3jm2330g2qs3OMDyCkSzBe8U3acSRXsRnxB/BkkXcbaXLVa0F6idaM/MLGk4B9tw8R9PAulltv/v5aLHK4jOIVBvfG/rxJ/t4VQ560SzOD4X7UG/SPQ4+bnoNhLIvEZjRI+LV4keQx42fprzKZlzso0O8LNr6nG1aLZInuj8B+Y8Nf8Q7c1cJYHPDWKfx2SQiHwhuh/fKzrnlpnNd6xoj3BSgOWZn9ExovNVPCaalZkr2rv8m2gGxFoJfG4E+/dxheix8VXR7WGwsY4viH8eEiePXUOM78ucM+8g0TmvJhvLeRL4scT+GCWaWXeA7bUJoue/QN/b/jmaGbrpxjr9KHr+yxGR1aLZhU1lHgbySBORbaJZg51Fs4XPED1vDxQ9ngWSBdF4XrYJovv2yaK92T+KyHajvBzxzx0V6CNTdJt8yFj+j+j8OweKZqK+KIFnuHpFt4GnxZ+ZGSu6nfwiehyD+OftTHVo3RJEM3zyRLNLZ4lmcH0jut1ESuBZoPbtcqJo1tRMEblB/Me14aJzD/1VAp8L1HwcLLodXmt8X/2NdXlHNGt5nQTehrWv25GimWjdjc/yHvGfWyeIZtAHOjeOPWv7UNF2UJTo9jFP9nysas6+bv+fh0TP3eON8vqLyEqjPkeLtrucyPI2H5NEs8g7GM//Kf45T81zkpPlpYru11vEf55JEG0DfSn+OSYD2U7eEG0PpBqvvSC6nyWLHqteED2eLZLA94Fo0UzgW431eMV4/xjRbf5e0TZRpviz+Z36LO0Zs4+KZhQmiraXbxDNinNqDsueovNkdhady2uu6HZzqui2eaM4N89pm3i4XgE+rMdI8e+Yh4mmW5rDoM4Vf/qzeRKKDrC8pi6MxojuxDeKHqjOFm2c/0/8KbyBlnWCaABksOjBcaro8L30IH2ufUUP6o/bXrtL9CD5qejQnkCHEJnrd73oieUlESkTf4r6HeKfHNbJoW0QvfibIdrQgmjw5Qlj/ezDX5y4EL5atNF4p2gw5r+iJ9ALRCcvdnKyYhjv9734T6Jmg2iAaLDyCwlsu7Q/jjfW7RHRBs4ZoieW70XkQ9ELqd6i29HZzXj/xhc0fY3v7C7xB51eF73AcGoCWvMxSvSi9zmjjO/FP1x1kjg74aF9cuDDRRsE5r49UfS4doSD5R0iui2aw/eeFG1omUM0uktgF4fjRYfBXiEa6Pyr8R3miQazzL9bI3pR4+SQswmi27lZ/1zR4Jk53DlaAm/M9REd0mUGKfJEgyTXix4fzc/xROOnU+s3VvQiJle0EfeF6P4WK3o8uVwCv7kBxL+/nWKU10/0GP2o6FCf7qL74ZPS8MYSTpT5D9Fj/vnibygfJCKbRG9+4EQZQ43PzbyIuEZ0Pz9GtJNqnuh25NQ2eYXodmEGwweJBs9jRIPzt4kzk8gnif98Mkw0OHGv6IVohmgb6XHRC4wfJLCgmv07twcJHhO9EB5nWz41gHKaenhF234PiwYRIHqMeVI0wOzUZOsQDYyUSMOhVweIth9usn3uTpQ11PieEkUDdD+JXsCliJ5nfxLnAlsQ3b8/NMq8RnQfHyfODuMxH5miF9gHGcs3iA6R6mqs0ygJLNjU+Bh0vehx/1HRbWKi6DXBG8brTt4wyCvaOfuMaLv5atF9+2rRofcHBvj+jdftMtHjyfei+/FE4/UnjPIWiLPtyn4iUiz+4WxdRc81U0TPtYvF2cndzTZrluh1waui+wBEz6WjJbCbL/UU3ebMwM/T4g9qvWh8hymi13NHiTPTlED0nPZf43k30WPj06LbSg/RY/M9EnjHg/2zPFb0OjjF9tq/jXU0hxA6NcQ5QvRY2Fd0f54nehy7QfQcNNmhctrUw/UK8CEQ3bAvFt2go0V3rLtEM5tOED2B/lecu9uX/SBwlujJZILoTjZS9GB/vfh34kDH+pqPa0RPKheL7rR9RRvKU0Qb5ykOlNH4hNZetDE1XRqOue0h2lgO5GDfw1ZejuiJ38zEGSLauDvJWE4XZ+8y1l78vfFJogfdl4zlLqIH/0Abq41PFs/b1q+9aG+l2Ui+Rpzt0YNow3iKaDAhwvZ6mlG3QC5+7e+XKRr4TBDdNn8WbShHGmUdYdTFzCDY35O2fb0OEv92kCMNg05JxrITd/EwHz1F97nOohf5S0T3eYgGa5aL9gAHWo7XWM8vRXsIrzE+uzuNh7ktOTUviNf4zH4WDVjYv5PHjfVMDrCsAhHZISJnGstdRef9Ocz47szMvomimT9O3A3F/Jy6iTYYF0jD428P0cbP3x0oC0adXzTer5/ofjFdtIfe/JvzxX9nvOaW08V4nyRjHW8TPUZOEL0Avcv4Hk8Rf5ArkMdYaXi8v0e0I8Vc/ovohY7H+C6d2OfMbdN+TrlStMPG/GwhejF+qAPlTBDdBm8WvTPp8aIB+HNFL+jfE72TmhPbCUQb2b/Y1i9d9Jj5sejFziZxrkOlo1HWf0T3cfOi8x7R4K4ZaO0q/v2uOccW+/9caXyeL4lmNtl/d5roxWgg8+TY3+8i8c9h5xENqj0pmj1sbv+B7geNP4//E50P571G7z1ENHjuZKff86LBOvM7MucBGir+O6E6VdaRouecC2yv3So6T9vR4mzWovn4u2hgxgwkXyuabepE4CfF+Bkh2j5+11i+UTQwb24bsaL7u5PthbvEv12uEd3uzbrcKoHPz2mva1/RIKgZFLze+B7NjPyeDqxbU8eEh0XP42Z7NU60rTJKnLujGcSfUfua6PFrkGjQ/HlxJtgaJ3q8MDsoY8Q/+sUMOj1nfMaBtoWa+iy/F/8cTvmi7a6nRLfL7hJ4Z5i9vBTRDt/vRa9XU4zX+4nendE8lzvRYdRTNIBmdqqYHWAQbTs/Kg3vUMnHPj5cr0Abf3hET8ZrRE8snUVTHs0G3XGi6Z5Pik5A+LDD5V8n2si/QjQr4C7Rg8XBoo2uq0QvdpzYibuI9kBBdCK5j8SfpZUr2ggKdAiRvZ6niqYcHyZ68L1ctNdmYoBlmI8OooGsFGM5SjSdOtX2N7ca39tZDpVpPtqLHnhPFn9jKlm0l83MdAq0kZUh/pPvWOOz/UL8t2qGaA/iawGW09R3l2p8rnGiJ9Cx4u95PVM0XTeQxngH0Qskc/vLEh2icaPoxbY5ZORw8TfCB4hus4H0tv3Z+N5eFt3XskT39aeNdWonzuxr5mOIaHDC/M6yRIfHzjXWd7EEPpG2WV/7xcphogGFuaIZVVP38D0Hso2YPVndRHsmr5aGjSonJn/uLzpJ6j9s7/Wi+IMF14he2M+RwC80RopeZJvbdaTo9veOaMDOHlzNkcBvjW5vnHUWbSjeJ3oeGiIaRHhBNNvCHDISSHkDRbeHS4xl82YGH4s/g+tno0wnAvPHih57zaDTZNFt3h6Y/Eycu/20+ZggOqTn/8TfAfB/ohdSg6RhoHt/9wV7Az5f/BNaHyE6OfJX4j/XRIn/HOBEkDdSNFP3PNFt4SbRTqO7RI/NuRJY501Tj/NFJ7h9qNHrd4ve4jvHwbKOFd0+eorebvtfou2ieNEshEAzH+zfwVDRfbtC/PuDVzTgNUf0eOMV546V40Q7F3KM7/FZ8bfFDhcN2DidMW9mWpuZp1+KtvE2SuBB0MZlTRBtmzwpDbPr7hbNWHYqy+lAaZh1+ZQ0zHi7VALLIPEYn1uZ+LOOO4peyL8keh41A1wnizMdtI07k68Vbad8JhoAMusQ6NAhj2i79Qfb99FB9LrDPhT2dRFZKLpNBrpu9u1khDS8mcAdogHtfAfKaeoR7Ixas2MqWvTc+i/RbaepoNPjEnh7ob9o8NGeLX6EaEAt2ahPL9Hz9yMOf5aXGJ8hjHWdJrqdphl1+qs4MzTX/EyHigacHhFt154smkxgDvNnsKmZD9crwIdA9GLz/4znT4g2WM0dKFX0JPq8aGMokHKOFG3EQbTx9LLojvYX0RPBU6I9NzGimRiB9C40zmjoJBqcuFv0wt28YDxH9IDlVBYVRA9QP4oe9H2ijaouogeMt8SZIT1Rxjr0Fz15QTSI8bHtb04XPWg5ddcviJ44IkQPgl+KNt7Mz/I20TlCnOhlGyXaO/Kg8Z4QDbp8LP45H04TzewItPfEftK9wfiOfhA9QV8kOj/B0yLygFEXJ8ZN9xZtbJgN1AdFe0rMlPExotkl9vHugQRETzS+L4g2CGaJXkhliV4IPCbOzQsC0W3+dNEL3TniD4R6RY8jQyXw7cS8eJ4g2gi4UzQgaH6fo43vb7NoQMipdbtcdDjBY6LByHzRi+2rxNlhGhANvvxdtGfyOdFjl30egc4SeC9squjF+y+i2/gxtt8dKtpgvE0azrUUyMO+v5kXmpmijeB7RBt17UQD5pdIYHM+ZIk/CHKA6AXG5aKBtXjRAO+FohkPXxmft1Prd7RoYGKC8dk9J3oRNUY0G2ieODtPWn/Rhmkv4/uaKf5t5T7RbSeQ7/BT0WOHuWzux7+Knj8vEpHdosflQM+nTV0ImXf9+p/oebuvaADdqXlxGpfbV/Qcvl38d9gzHzeKc3MTdjXW62ljOU40QPmQaFDZzKZ0oqxjRbcRiJ5rdooGKiB67HxInMtkh/iHYz1h/Bwhug2+ITpX2lzxd7AE+jhctAPDPKe+Lg3vxDVA/G2hQC+0IdqOGyx6jCkw1ulC8Qe5IIHt3/Y6xoqeA94T7XToLLqP3xzA++/pcYnofGXmnSv/JdoeMoMj54tuQ05lzHvFn8V7vGh2sD2T6XNpePfEQAKh8aLnN3NI0r2i7XJzuzhbnJ+z6WrRY/Fz0nDuyptF23yBdkw19bhbgp9RC9FzaqpooOfvott+jGiA8g1xrj10q1HGb6L7XSfju/xeNKPW3C7yHFo38/x1puh52h7IHSi6H74hGgBy6voqx/b8INFzttnZcabo/u7knY7b3MP1CrTxh9kYHS96kW0eyB8RbUQ62WM4VkSKxJ8Bk2y8/3jRLKdo0YbPYtEMJKfK7S7+g8ejokNUzF78c0VPAE7dvtIjerB7W/SCyRwKYl4Yp4tO/ubUibq9aCDhRdGhWBDtOfxcNPK/XJyZz8JcvwNEg1rmfAvHGOt3nugJ/CMJPChpf7wgegFzvLEcLRpEWGp8xovFubkDINpbaN7KfppoQBSiww1OE228BtI4bjxE8D7RAFYn0RPMv0Qvpv4s2ug62vi7iGaUNVR0OKXZcBonemFzpWhv7HDRC4CXjNebU8aeHn1Eg3TmtvCG6DbpVMDC/j6Hi/ZIDhYNKE+XhkPoIJq9E2gqvvm4SHSb7y0a7DSPZwNFj5mXivMTdx8oml262vaZRjlYTpRosH+aaJB1reg+bmZjjjB+f7MDZTYe1vO06HEyS7TH8AnRrFqnGnHjRY9L5nCXIaJBpytEt/nxxvICcTbzwdz+ThINOplzZdxu1OdjcWZ+HHuHygGigZgxouc1s5FslhNob3qi6DHjGdtrp4p/uNKBosN8Bjn4OZ4v2h45TfRCJk38x6ojRIOkTgTK7Rk9R4gemyeLBn/6iAadzhI93zwjgQ3Rbep/ThUdEmjOVRYlus3eL85kkkC0DbZaGg6nPEi0XfaqOHvx5DXe6z1j+SbRDBn753ycBJYl1k2048vcHk4UPe+8Lpo9f6joBanTWYQQPX78JBpQ2yp6YX206Pn0Sgm8jWffRkaKfwRCnGi76B7R4f714kzWvPm9mOVeJDolwwGix5FnRNuW/xYdBRHoPEONv0ef8blB9FzzL9FO8P+K/xzrxGcJ0aBrrehxspvoOeh9oxz7tBROPI4W7XyOEt1WtoluNznG7/8szgaczHU9Q4KbUesRDfisE21bZoluI/8wnseKZgU5OY0HRPe7t0WHeZ4uuu3/IM4NRTxU/NeD5uTkp9uWzeN+krFu2QGU1UW0QyPR+CyLRQNr5u+HibYTHpaGgTun25dt5uF6BdroY4D8vpH2rejJxFy+XzRgEcgOZT6OEm0A3yF6sZti+92Zor0MEG1gBdrDNkL8kypfJdqD9qZoA3KosV4zRU/YTgxFsT8yRYNbd8rvU5BvEed68iCanvuS8Xys6MH+T8byGNGGmJPBn2NET5TvGz+vE23oHWV8Z19L4HcjanwgPUj0APw/aXgHrgTRbSTQXqhB4p8MH6KBswmivUGfiT8w6UTvci/RhtQ7ogEYMy32TtHtMcso50LRxp6Zft2ck8sE0W37dml48Rcp2qgyA8nPiZ7MnOrN8xrrsdFYT/uww1dEGwaBBp3yRI8lBaINgEtEG7/jRId0nil6kv6r+BsHVxifsRNzaVwh2ri5TDSIFmXUI1r0AsvJixt70GyAaGPuHnE2Y9HcvrqITt7bT/Si5mXRrIuXRY8vJ0vgF/b2bfky0e3hSNFey6dFM3RSRQPodzr0fUH0AuN10f0K4g86XSza0EsUf6O/uY05+/8daZRp9rSeIBp0MjNb48SZOS3MxxGiQZ8xotl8K8WfdXqY6L4YaCaVeVGfIHr8N7NxckUDr6+JXoge7uB6XSG6jZwk2sv8L/FngF5tlBdo0C5LGg7HHSl6HLlD9Pz6vGgweYBoJ8DP4u8ACXQ7mSx6jD5G/Hesmi/+oFOkBLadNN6WO4vuax83ej1H9PzaLcDPcojx2ZjzI5nDsV4Qza4w20LmRVag28dXooGKL0X3OfN77Cq6zT8j2mE1xng9kAmEh4oenzziv2lIvGgg7UvbZz3eKDfVgfWD+O+q95po8M78jnqKHs/mi7MBi0zxn7fPEg069Te+uyNFzwM5AZZh/x7ModoFosGYS4zP8ijRttkle/i/fX3Y94HzxJ+9O0l06OBhose2w0WvFwJtozfe59LEP3+gObT/E9GORic6g9PFf2w+TfQaYJgEJ6O2qXPjmeIPkvQSDTI9LM5mSTYut6vxvS0UPe/VijM3+IBohvdOW/1vFO0ES7P9zQnS8E6szX2MMb4TM7uvv2inw/W2v3lc9HqBd6Nz4OF6BdrgI1E0sLRGtCFn3umit+jFhX1Hss8d0tzHRNEG3KHG8ufScCb/AtF5El4RnXg00IupCaKTJ/6f6I7aXfTgdIexfkmiDb0J4mwA6CBj3SJFM7SWiz9QcbJoQy/Q8fWNl38UPcF4RHtSnhQ9STuZrQLRg+1U8W8bJ4kGT64T/0WhOS7eiQu280QbWiOM5StEG3gDRQ/Gdzm0XoeINoTNdO0zRIMZ74s/K+4G0cZedADr1ku0Yfhn0YbUU6LbptmYulc0M8eJYMVY0YlnG4/z7mb8fMUo6yLR/bKbA2U2fpwletHbeOjo2xLYrcN7G3WuEP/dARONx3vin4RzilGWGXCdLPt/XLGPqbc/bhLt0f7I9tolottQID1Pe/pf+/C5IaLB3f8TZ4cAm+t5s2hDvK/o+eFI0azQByTwoGuB8X6xohc1j4leTF8hehz7P9EL0wLRDgmnbrFtPiaJ7nNmJugBosGDQIdamt+b+RleabzvP0TPZ2aAxJzT6egAy2v8GCzaKDWzHM4XDRweZ5Q5TwLL3DLXL1P8F0gJoseQJ43PuZ/ocTnQoeKDRS8cYo2y/m2UdaWxTg+Kbo+9RPd1JzIRjhd/AKmX8d2Z8+J0E+0AMOeuzBR/sD7QXubLjc/wdNHMovOM148RDfQeG+D72+s3SvRcmiLagThVGnYuOvE4SrTN84Joe86cA+dfokFD89h8vmhbyInMh4NFjyMPiJ5TPxf//g3R88J9oueMQO4edZTo+WyQ+LeLv4m2taba3vsM0eNyIGXZv7fB4j/P3Gs8j5SG56VAA3djxD/k+M+iWUzmMKUoY522ScP5h5x6/FU0+JhiLPcUkXLxT5lgfzQ3WGh+nn8SbYPl2t7rGNERD6c4tD72766zNBwh8qD4M7guEw0iBtqZnye63Y8QPX4sF+2oCWZGLUSPTWa7pJ9oB4Q5x2Jv0X3eqSHAe/p8If47370jznau/1P03N3BeN9njc+3u+i28qM417E4TjTZ43xj2Qy83iR63fqjOH/37Tb7cL0CbfhxnuhB8EfRKG4/0QvrEx16f4/oQekFaZit8b1o8ClS/BdNnUQvCAIJyBwuGtmH6El0vuhFJ0SDBfmiaeODHFy/xq99aHyWEaJBizdEL4RniXMHjQzxB3nGijZEPKKN9JNFM7icnBcExvf0mfgbxRC9OJ0n2iD///auO0zq4n6/e/SO0lRUQDoWUEAJoHQBKwo2BEFROooUu0FN7L13JSh2BXvFmhi7WBNriolpRv1FjbHx/v54Z56Z3buDu525XfaY93nm4baw8/3Od+bTS8wuLOOoNIkrqUgH251hDrU/X6UEsZA5BtIR+MHmWc2jBJF7qBSOwZTw+ibDvAudKE/8tJz3p5n7GWpeX0VF4zVgmNHuFEpI9N+/2NzjLtSZPJfy3sfYk/Zad6TSeewZnkgJ6UMizAE6ZXAMJVTNN++XUQLry5QReWsq2i7UcO1HfR1ApcoNo5TOa+iiC6dRnraQrkf+8z6MMgYuruS7fVgzwhwoY8g/zPDTNEKVmgxVf2AZXbRBM8poaLsebUd5fc9gGD3xPZEDqTNs9/lIKtrVnsV+dDwj3+ELuiMpI0JjypD1Ryr9d5D5fCzjRadZ3nmlmeMg6izUozywD1FRSPY5hqR+7U3x7cfoIkIbUel1ueku+dKu0ZQh4gg6xagN5ch5wrweRilVpzHbEBsyptF1cu1GGbaeplNKe5jXMbtHNaVoSDNKsX+CkhnqmPXbjfnLQrnrv5hSbn9FpSdtQym69zJew42BVFTrEPP6MIoe16X2/jUUX42djtWJoinWuXIIZdS9nNmFg5cFPL+xFN8Zal63pPbGi1Q0gv3eJGqfhNBm/9ltQ+29Cyknw0N09e5G0Rm1Qgyfo6lI6O3NGr5ORcxMYXZXzTmUUbQRw6LExlC0pJ/5nekUH92TTmY9xjzD0Pponb31ak0ZI63c6Kej702lhTULvDf/OSyi9v9rlHEJFJ1ZThmInmOc6KZ6lLx/GXXGrJw6jjI6WV4bGlGbyfn3bsqpdyRFSw6mjD62sU4obc5U4e+QZ7Wu+wPlZPiYki2HUobtVRStjpkKD7qyMlPN616UgfA+Ot6URoRR9AvYwEdTSqB7iioy9wfKshti+MkdVjCuRwlUK5mtEE9hHA/DaMrzZBXFPamcWL9D2910+bixxhZ00T19KcIEc687UrVyYtTCKqPzyp9ECULN6dJSQClqMULVLTHchI4xHkwpg0PN6x0pIegBxguf3cfcj41umGDWcyZdesFGEeYZRhVrPMS83pnal0dQhruzKeE4RijrPCrkvhfLR6WcRykB9nUMZfQCan/Y16Oo872EUkCtYSSmkXB3qp7W6VQdI7uuB1DGi9A0m06UcdMaCU+hBDd/r06ijIOvMJue5COQt6MUozFmrKaEuhsp5WU78/cKSgCJpUDNpSus+zldiiwYV8Ba2/gFXe2yGJGS/nVfTOeAsPTxHfPZnlRdhpD0zh4UfdyY8sK+RUVDrqIMlA2ovbiS2aka+YyM+b1PKAXXvrc5RSttgf7LKOE/Rgh+R8rg0zLnfdtFqiPdfvdpTXXPQD06+uDXSTqZigiwEaaNKQNNqOF6MGVs3LmCz0abOUApUrcyTgqwTb9qQEXqLjOvO9B1WapHOareoIvQyWe0pYtmGEjxmJ9TZ/1R73tzKHkh5L7scy+jDLr3mtenU0qMPY9bUEpijPqVMynnnp/WciflvOxC7Y/+FH+Pmf4F6hw/ThlMXqB4Q3/qzPc377/H6hucrMP0BbNOds3eM+vakeJ5V1LywsuM51ScQBkrutKlots9P51yYIY6FUdT6bc2km4Ssw2QoyjjudUFWgbOt4xyWj5M7Y0nqbN3AEW7JlCy3aks75yr7tiYcoi2pNvvt9JFRNoz0tv82yRwPn8Mout8OoDi41PMdexHyS2h8oIffV2Pku2ep/aG1UX2pgx3sboAg9kZIbtQBsmPKQfAC4yTMeLPN5OikydE+N2qzNeX2fT3fMppas/aJoxXTy93WKOTlXHrMTxrJI2cUfQL2EBG7oatk/P+RpRAfBmltMXqYFDR3IvpPCeHUBErIQS4H52guhmVfzvWvB5LEYwzKGHHhtTGuJ8yyiP6GiXMTaUY2RPMjgSKuXaghJqDqHoSh1GC8ROMH9W0J+Xx+j0VcdGRUnYeogSEDyjjhR+1EHp/u5L8H7OjO8ZTXvTYxZiHUIYE+6x2poRzPyQ/JDTejnoUQ76MMtb5iqAtshvDW2nHLLoUEDCbQd7E8DpboAS6lubvzlTkwxbm+f2Zyqs/zHw+kc5Ime/ozOy6KYMoARLMbqddRieY57OWG3v/7wBKsH+KzmDcgfIo2jSshgzbIx3oUkuaUEashlRqw/0UnW4Y8Pu5ozJvoV070BlfYxh2/TGToh2vUvTK0oxbKGXtXYYpbN3panjVM/dgI2c/pDzAC82ajmB4pKtf0+gTZqf5nkjX+OIQc98xQvCvppSIVZRyMTLnsxsYnmbWi4rKfZgyGPSlzput4TeK4j1XUApjjKiAI+kip8py/gWlqD5P8aIYNRfrUkasJd7rD6jzB4rePEnJDg8wPFXQpttfSO3LttS+WEUp/qAcYW8zTGnrTskjVhaw6S0XMTtCZoy551ip9zbt8UJK5jqfOhM3UXvlYarbXoy5ckcZZXD9vJI5NmdY6tKWlMHxYkoh9LsVtjFzTmN4So89C2MpQ3lv8/pQyqh1E+UMiBEhtgclC6+monFaUnvnbmYbDW/zXofIJucwu25YXeqsraZo9cEU/Xqd2V0w86EtHb2/t6cc6Rnz/J70PjuIkltCa+n56zKSMrwu9659AJUiNStwnorma+e9dyzl+BhKd853Y7yI2nmUgfxcil5buWcwXb3fGMbkOt58z1H86L/UGY/pJM0dR1E84XbKgG33xdlUmmdMnbiy5zmG2qMHVfBZGhFG0S9gAxj+pu3O8kJG7qYONVxswewinLljNsVc9qMUjdAIkvl0UQGgmNf7dIxyD5I/UgwvNHLLXytL1K2i/RpF9M+loixC87P9ueZRKVeX0bWA7kYpOXfSdUmJtWd6UgJqD0rhWE0ZZppTAv+h5rOBlBKQT3iwf38t6cJxd6OEocO8z/dmOMGvSHgZQQmTU83rwZQyfHQF1xgyZz1KWLyMMnTZvbM35VWsF2EuO9pRCvZZOe/vRxlPQkO561CC6JneM+tOKVWvUmf/KKoOyeHe/wtJE8x9b3vKs2b3xGAqsiVkj7Sgi8yyYy/KAGprL9Sh6MvlAfPY0ZaK3juOzvt+KxVddAedd2s2wxXe3DGD8hyewooNWncyTsi/Hb0p+mgFxpOpfW+9idsxLNKiO7UfHqRoVF062vUqpXQeQfGF4xlXkBtJ7Yf/UWcC1Lm+3TzLlxmvTtpmlFHpDMoo/zxlzLbP6krKAZCvEbSHud6pVB2jv9HVf7qBLj3vdDN3rPua4a2dTcfImLEDRS8HME5aWzvKQLI1ZeA5zrxfl1L0bXRfB8qo5qcMVnff+N+/klJcxnnXcSp11h+h9mm+xrTceV6gk+NuohQ3e76OMHPF6OwHOh7XhFJEH6DkBcvjuphnF6PeVmXrP4suCs4+yxj3ZmXlLaj97kejxVJ+/Wi9vtS+/IwyEtr3bbr6zAjruClFJ/uYdXqQoiFbUcan8yneMJGS7WJE519Ml87mO4iupYte2ZjZukA+NLolxbtOM69HUefX1oS6mZKBbqCcSaGpUf41TqNo2DFU5POudNkGg6n06o0YL1J5NiWjn0pXF/AESsbcNWedQ8cBVLRbS7oaX+fTOTMbMdw5O5zOkNrePMc2FE15mDp/tzLeuWtDJ/vsY+6vDiUffEHpAS3N56cw/NzZvdLbPC9fD/f3xG5U+mqfiM8vDTOKfgEb0DiaIri+0FZWwd8hwvjuFDEawMoJQy/KQPJbhnlqelEMGpSC+xhF2EF5Cz+mSzWL0YHFX5cjKS/GdXTRVS0pg9M1FMGKFXF0JGX17mX+fZOu7kgDinCFKoeb0nVGaGfu61m6UOP+lBFtgfd/BlBEOjSMfBHlUf8tXdTDSDPf7MDfrmjsQTHk7by53qAzNsRKgbQj1+h0uXmWQyhvZUjIc65x1xeQ36cEvfPMGv+O4Z7RjSjBogOVX34KnSdoP7qQ/J9RwnlIXaO1rWd9uto/O1B7JbQY82aUNwvm+dhaHPuatZxgXh9u5m7McMPFrpSB2ho4D6PaXFuj8kTqvHeIuH6HUwb6LiS/Z3aB1lh1cXLXZQszp7//7jfPLbQYbRfqHJ1IKWk/pxMO96SrtbUzJcTG7PB3EF2kpxUUrbIznFIGYnWXyVAKzBl0aeG7UhFPd1CGhXbM/4w3pRSl5d57h9NFHJxs5tmPEsZDU7/8cSBl7LEKgK8sHcPyDRDyHT0pxcXy7F6UUm2jq+pSURZ3ep/fSnnwQ4xNR5u1W0wZe/zUwfZUZEBImmBuNOLFlOGwOZVCeh0VSXgm40TI5PIde6+NKePhpZS3PpZyaH8/V4n2lbZXWTNRVHaO9pSB8pTIvz+BMjjOpYx1jajI59fojKExRxNm77UtKKPTYkqW25UyBF3JeCmCSynZJ3dN96X2Zu5zztcoU4/iJ8spmQfm9dV0Uck7mPc6RFzTgeYZWv55HKUHjKZzyoVGKvtnaRplRO5CReOsoktDPJ0yBjUOnM+ObpSTrR21R5+gHGCPU3QmNELMjkVUswFLm1qa5/Sceb0lxet+znC5axRlrNubomOb0TmlHjTf+TWdAzXWPhlFpeQ+T/Ha3qw4ovdautS6NCKOol9ALR6+8nAgtcmtYNKKjnnHsriPpZSj0ZV87qfvvc4wZtaVsua3obNCz2O20Wl/qqXrsMjrOpfyknSmlKaP6ZRRy0hDvPXbUJ4sUMLHaRRRX0SFPB9DCT59A+bIHR3NvDZCZKyZayYdwd3JzNuRbn/lE8XlM4u5lBEtQxko/kZXtH43itm0YBiD2Zxur9sOUnMoo6dVZIZTqWATI66pf692X9j0uruofbN7zveqMyoz7lrvbhtKUFhCGRNDjT/1KSH0ZGpfbkEx7Z9TQuwWlOHuJio9alTgfOsaN1MCz6uB6whme6+OoITHOyjlohWlZH9FCSO3MU5aDyih4iHKoDXfrON8yohxLeWFDZ0rd00uoYTIaeY+c7sexdrzMGvX0vx9oblfG2V6OFVIOLQA+jA6A0wvynt9IkWn2lDRAsuo9KjKeFO+YyKzlcKtqNSeX0Sexx+7U4a6sRRPP56ikXcyzDCTodL0zqGLLj2K8phnKAP9EjPnnjVwX0spJdtXzCZTMkWMaLseFD+xqS2WTvaklAA/0ul31Lmraz4P4ef7Uml0NqVyNhUB1I3iO3MDfhsUX/6MMpZbB02ZuZ8XKcVzC7OWhzO8zkplfMePdJpDGRJipG9berIrZTQ7mtk1QC1vncS4ESv+a7tXtqT26LkR7ssfL5D8ltkpSTtQDX1OjTyXP3wH1YOUTN3SvBfD+WDXbzzFd3INnVtSBvRQg7L/3OpSBqC76EozDKEcfacwjhE04/27JWUofIHZzoVFlLF6BF20Zr7zdafk/o7md46kIhTnUcamAylDkKXbIc7u3Kiti+gyEJbTRTLdQ/GGGPX07JhP0TK7T+xzbElFhl7N8CyV3Snnxq4svxcuo+ptgXKuP8c43TRB7Y0H6FJvL6Ci73ozO9ijFbM7LKcRcRT9Amrp6EcJH5ahHEcR9u0phfExykIdqz5IPcqrZWsntaCI5B7MZiaWcYfUDtidMvR0pIw+t9JFxlijk+0KZItWhtzbtpTHwL62Oe8LKKI7iUph2jtwnoxZn/EUwbEei8YUUXqOrtvE65QyGso8u9KlPZVRSrwter4XRYCn0xmdrDcj3+fnM7Mm5vlsSRlE7qCE4v+jQnjtvYesZxtKYRlMMarfUJ78hZRR5Du6zjpDGC/lsiulpPj36xudTqCra5SPILIu426sSBU7WplnMZiqvbCI5Y1OLagzv5jhNZvWtiZ2HW8i+QPD0s0y5r7epwy4Q+iKPd9FnQd7LQdRilaHSGs6jjLQbUYpUZfQRTr1pBTkmJF2R1Ln6njKu3Yv3T5ZwvKdDfMZvuHKdsf6LaU8bU0Z0e6ghP/VjJtmY//tSQlyS6h9254ynA+ONI8/JlDGH/+9qyjjdZtK/k+McQpV1+LoSL/nRxYcRvG7mymDRa5C0WIt65HP8HnJUupMXEFFZr7HOAX521F8xRqbGlC829KOnqyZ6JUtKZ5zR877syij8usMdwTsZtZsBWUMXEqXrrqCUnJaRrqfdfEdK981peSGWHVPhpt5h1OG1eUsL/uEphD5+7kzpWD7fNTu047mmYakJOaenenUfnyV2alJO1D8tVUF/yfWsDR7c0rGPCniXPZ3WlGpqudR0X32/UeoWl+vMH+jrs9zOtLxzIGUHG0jnUZRhsLQVNJMBX9vQ+3L6czm2UcxjsFiDOXsW0DnoNmUijK333mS4nstIz27CZSxydKnFlR05GxKjniG8c63/wwX0BmdGlG84D6KXoYYYTLmHh5lefplz/Ycs4YXUoa8WGUFGpv7+oQuOAHUebiV5btux6zbmYY3in4BtXS0pgjSNtQh24Y6QE9S9Rl6UCGfMbsKXE55tTalhJ6HKGXjDZaPHMmXoY2hhLQh5nV9ygN0lffeHEpQjhWGb5mJrYlji4U/SRcx9hQlEDUJuDc/AmwcpVDbAtadKC99W8oC/wuG14hqQIWNrqFrMb8NZVCw9TT2oAjwLMaNhJhLJzRuweyi56uo4pyxQoKPoxhWB+pcTDTPC5Q3fw1VIyHWORhNechfMPfpn7EYtSWqatyNJTS2pp5/B/N6W2pvLjLPaHOzvqczjFHmGg4Gm/Xrz4rDmvsxXqTFtRTT708ZAxdRdQOsUtPb/Buzm81cZteCOoDynp/AeF0f7RhHCVrNqcjPj836gRKAVtOl8cUYO5v5NqcM55+bNWxM7dNjWDMePN/odA21J2MU6/bP0iTz7MaY11ea57Yj5fBYynhe38rO8K4UjbSvY0YjlFGG/0eZ3bwht9FIzPvx6eJeFI0+lHHkE1B06RbKENOEUkRzu1z2ogzPnZk/n8v9f2VUdOSbzK5nB0oGi+U934fa7xMoOWgqZeS6i+Jv95prCXl2VeU7MfZJ7phGna9BVKqgVQRj1pmzYyFlpLuFUhJ9A0XdnH/zGf66jPLWE5SM96b5e0+KJ4Se7cqeQ0XlNDaLsKbzmd3gw65VW8qAsZwyMN1P7dmmdGlnoc/tUcopdB4lMwwyz/Hn5jsxmsDYcaS5/uWU3LwTJRcdzrjpenaMoSK6F9OltH5A8dV9zXqGRgv7e+EhKkW8t/fZIMoh9xDj1xjy9+lCkv+ki/jrxzgFyRtQNNEaynId56Mp3rOU8SLL7f5vRDn7rmF2k6WLGR6ZmUYVR9EvoJYNP3SzHmUUOZuyetel2/z7UB69UAv1GIoA1qcIwgrKu3stdagaUrVxzgycB5T34nU6IXhLSmFrSylp19HVA5nOcEVjAB2j2ppiJueY1xtTlukelEf4vMC1HEoRnp7Mrh1zDVUToQ4lLN9EWcljtWHfl2Igb9DVHulBCT6nm9d7R5jPZyYjmW2sa0SlwcykmPWNEZ6d3f+glJbr6Tw1iyiFF5Tx7lbGU377UcbJLhRzvtLMF0txyse4GzJaUQa7LpSQc4J5btsx2+i0JSXs5buOzZkdXWbDno+n9srxdHsiw2xBId9w9Y28v+ebZ9WLElifods/R1IGtVgGUDt2oBRBv57LA1SodWjdAH89elBC8UrvvZMoj/oKc6+htTq2pauhtROVnnGp9/lhVKeeWOnNa3vevtd5KeOdPVARRU9TTo2nzTqCOiOXUdG1MYRHew+5CpKvJD7NOMXrK4rCzFBGi3MoY3MMRc2fZzSlUA/03otZ5Lai0YhKyfiWLorXjl4UrYthMAdlZJpPGYDaUEaFFYzXvbaiOadQfNTS/0YUfziO8QreFoLvbEbx0UmUcbCMMrz8gTJUWPloDGUQitm5agzl/AJFw240955rSAx1KoKSUd+kHFN30nVPvpWSc99gePSbP99UM+ecSr4bw5mYMb//ALOjSKze0dA8r6EU/wuZqyedYWd3ykEE6mzbOjwZygD7K8atxTOd2iebU/LCjeb9UZSsMJXhHSAr2mNDzf0tNr8/k9o/LzHMAOTP5Rv/bqVKa/hGz8YM5weVnR9/zRZQxvJYNRDteJrZZ8DeWzM6GSaWsXxPqgTDKioSdWsq6u1K1nzJiTQqGBmSSIiO/gD+CuB7AFcD+BDAuQC+BrA3gFMBjAfwTsAcuwM4C8AvAdwF4CcAGQC9cn73BAAdAcwAEPKw6wL4BYAfAbwFYD6AewCcZz4/DkAfAJcC+E3APBbbAFgO4DYAZ5rXxwD4G4BjzbztAAwEMM5cU764D8AeAO4E0BjAswDeA1APwBgAdwN4FEBrAHUA/D1griYAvjF/twcwC8CDAE4G8BqAkwB0h57rH6B7DkEG7rnvDOBnAI4GMBbAagD1AUyGnt0QAAchbF8Ohvb+H7z3lgFoBGA/AIcAGAHgf+Zaxprvh6IZdB7GAOhs3tsZup+/Qs/2/YDfHwNgWwAXQ8/tAgB9oX1xK4DnAewPoCeA4wPm8dEXwI0AJkHPcR50D1cB6ABgIYAPAFwInf/v8pxnbwADoOvuAOB8aI9sDZ3nJ6A1vBFxnlUv6Aw3hfZ+SwBbAZgL4OcANgLwTwBfApgJ4GAAb0eY10cr6Oy1BPAxgH8BOBLARACfRJpjNoB+AJ4BMBXAzQCuN591gs7Aj2bufFEXwK4AXoJo02cQLdkWeo4vQntjJvR8e5p51+Q5n6Uno8xvrFrLd3xaF4qtoT0zBcBiAHtCdOpvAM6G7qkB8j8DudgNwAIAj0Br+Jx5vz7E1/tD9/9qnr9v1yj3mutCe6IMwBHQczwLwF/ynCcXCyE6/L65hn9DvNy/pty/Y6ERRD/bAdgX2pdDIF4+A+J/+cKu2xEAjgJwJcTX7gbwOESzj4HksVsC5slFGdxZOhjiZw8AeBKiYaEoJN/pCclcr0By1R8ArITkoYXmOzMhHn+Nee/hgPnqAfjBez0Gkn0Inb+9oLPWA8DvA+YBROe/NH8PhWjJHtAevBSS+06HeMEAAH8G8GngnPYMWR62GHpeB0PPLiYugPb8P6F1OxC6r0fM53Wge63sGquDsZBecSik2wyG5IaukEy3J/TctgfwOoCGEH2OhYXQPj0I4kPjoHv4CcCOEP8OkVP8NZkEYGNIznoMwE7Q8/sYWu8MtLb/iTDXLEhe+AjAddCzvAeiawcj+6zkC3++/hDdfBV6Xrmfz4Fkv/cizGvp5Dhof96JbNoxHTr/h0B6cij6QWs4G5Itp0K0/2kzVyeIH3yB+HwuoTIU2+JVS4YfDt+asrj/kkrNaEV5t0+l6ln0pCv8nO/oSoU2Wy9FHcqL4bd3b0CF5r/CcE+N9b7UM/fxMst7KUFZxUPD1HelK3bZi/IgWE/2NlS0wInmdX3G6UZXjwr1vMfMeQHlSVxNeVI+YZz0oc5U+seRdN0KT6Yi0jpTqWZLzPs9mR1OGzoOoyz9/akaIZfReS+sl6FlhHnOpUKNF3lr1ozyMI+gvDPjzecxI7dApRg8SnmC7Z4datY3JCTYRvwcwOwohNzrP4GKiouZznAc5bG0HWAuMu81p7xqtwTeGyhPpZ/bvpX57Veo82y7gZ3KONEWban9fiRFM56h0swmmvXdg8rjP5NhHrZ1PYdOVJThnVQKTMzQ6jHUXrRpgJOoCI8pEeew91eH8vbeZZ5jGcV/LqEi/ayHu0WkefeiogNCOjyuawyjIlcnUGkftjD+WMpLWp/yML9j7jU0Zckf21Oe8ukUrTyf5bswxkhtG2Oe2Wl06dv+52UMryO2KR2PbElFIrQ0r7tRe3Ja4BzVGTbS6U7zjEOLoO/k/b0Rla5nU8x6UFFHtjD4GIalLFX2zP0IhIMoXjee4XuykHynB0Xv9/fem2We1RwqYv4a87yeC3xmoGSC6dR+GEdF4vel6jM9493LUVSkR0j02x50DVBaU5Hzn1CyJij6eAnjFQvuQhfBuxEVjdyKoleP0MnrofPYcQld11hQtPEwKtJojPd+DPo4hor+spHBjajokReoiGE7xyxK3mwaMFduNLUd51Lpt7d6782hqxcVa/gRtU9R8k9Dir4spVK4QyOp7JhB7dEeVCrdr+jk/1VU1kPI7+c++4Xm3m6nIiX9lP6YTUxyx2ZUN/Fl5ho6UXTgXcaNptrfrKF9PdKsa3cqWj9GimAa1RxFv4BaNqzgsQOV0rCESvVqTRGskxjnMHeiiHsDiuDPpwTJuymi25pScF5nvI5O9rrrUkaS8ykFOGYofgdKwO5AZ5TbhtlGp60pZeDUSHNaxl+fqql0tnevE8x6vs3wgtagGPMaSllbTNW+2pQy/nQz4zVKgYq5L3c292aNgX0poesi1kz+8khqT75PpYUMN/c0I+IcloGOohQmW6OjG6VkXOQ9x40C5im0cTf3PHWkDGY27WpX6uwtoQToEIHOjrqUUnYK3X4YRdeefCeKtsSoM1SR0NuKoiX3MrsdbYgw58+zL7X3BrByg1nMMPXNKYP1e3SF/m39slvourrFGjYdZIqZd5xZu1Ops2CV8hgKx8aUQmgVsz5UClNMBWo0RXNPpniYr9weRJdabQtsh6RTt8j5/x2pJhTzzetOlOJxPrNro4SO4RStH0gp9X7NMjCOIrMJlQp+KHXGmlAGOptKV9/c25KI91XZ8OWeRpTCsYbhHS4foBxD9vWlVAqwTU0ZSClsoalf60pJ9I1O+zG8xmMh+U5LKnX6ogo+m0UZ463Rsi1delQoPTmC6lb7BrU/GlHn7Ewz7+Hm2YbIsKOptEM/xaw5Jf9cQdfgpi5lyAh1mG5MOSxtHSNQ5RqupRyals8sZHhzD1D0/W7v9WRq7zWl+MH9zDY6hYz2lCx+snm9GbU3WlNNkR408x9PybihDkVfttmf4ptDzRr+ms7pPY0yWITKJz3pCkj3ogwWGaoExHPUfjmNOnf9GcZ3RlIyVl1KPr2UOlu2C/fFlOHayn2hjgdbkqCMkgdswfOTKN4T28iUSxv815tSutAqyhh7H8POeCdKvltAl663g/ntznS0+UK6si9pFGEU/QJq0RhMWYutgtGHYjIXUAS5FcOJRj9KadrW/O6NlFK/lIp6mEJFAPWmK1we8x79Tl+/oAj+SMbJl25I1Z86zPy9hs6IYI1Ox5vXPRku0FV0Xw2YnRMO7/1Yc40z97knpdTcTfIvdB7u7lSHm9D1tP/aNsl/piJK7Hf6UMa1sxnPaJjLZDpS0UYXkPw31amoX4R5LHPcna5rz6eUkAfKw3gbXWHaEGZaSONuK2qfz2a2MHolJXzY12Oos9c5cD47tiF5MFVr61TKmNCU2jN3US3tx0aaq7K90pAypj1Jebwq+k4+YzbllZ9OFc+OGamytrEdpeyfTmfwbEsJzjHpckdK4dzPvJ5E0a+9KGH2RMbrZmPvYRUlhC8z9/hXytsb4/cHUmd5pHk9n4qsGEHRxs2pDnHLqCiFHoHzHczsOl6gDEB/pisevwXFXy9h/oVh25p5rPA7kVJahlNNNmyNtNieV7sfJpnX0ykjTW/zeo753DdkhAz7GwPM8HlZrtFp25z/k+9YTimgoGjjpXRda/em6HeszkMLKRq9jFJoLvI+ixXtYPdBIZ2Kp1J8ekQFa/USXd3FWPsD1N74PWVUaund90HmGV7KMKPFQJJ/o+uG2JmS0RtRdOMYSj4ZGvG52XnPM2taRinC39FFmO5vnlvoWR9CGSXHm9czzFpa/tKC0gleYDzH4iJKcZ9KGfIWep/NoWT0CxlGlzMUX/uccj4Pp/bJeVQ0zsWUMe9x6gw+yfDomLHUPj+eovdNKV4zhtkRte8yvJtmC/M7b9LxnoZmzWykWhOKv1kDV8h8naj9Zs9SV8rQdBEVcWd50m6B8/jPz/7dnut2+IY4+3pQTpQzKXrxMmX4bEune0ygomk/opztMe4xjTxG0S+gFgx7uHpSkSrX0TGWYVQY3yKGCyNjqMM0mSKIO9B17PHTylYwblv03Ov2jU7nU97mWN0nptBF9wyjjBQ24mFriumEhs2uKyy+AaVQ3V6F/5PvvIeae+lNCQf7sLwiHGMe/7kcQRkU9vPe247hbWorm98qFw0p4WAJ5bnpEPDbm9B1oGpNCR89KOX6eeqsXW8+784wIatYxt2plCD8NiWwbkntyduYnfYWI5XUrtNvKUV6U0rZPp0SFDY29xnLAJq7J3NHI+rchxrm7ZztqLD7pmZdn2BcpRCU4dYqfLMoofgGaq+OoLzmp9J5u0M9iRUZ6saZe9vXvDeRMhTGECDtfF3pnCm7mvu0RqE9zD3HiCKZSdHe/pSg/L757eWUkt+FOhN7M45xZhJFk7qY+2ln1vRkiqZYx0ZoGP4xlHFuGGUInErRq9/SneVRlDIT2o0xN5XrAOocTDL3OZMy6l1IpcqGRmXmjt0pJWAOpQAfkHNt69rT6xqtmU1HmpP8ic5rP4VSRB8z69s74F4KnZJYaL7jP4+TqajrEcw+y2ezfCvzfIb/nJt47y2ilH1bXN3y7RBa6dOSHSgDxtPMlh+7UnLJBdR+iuV8OILi12/SOUkvoKJkbqb2ZGijCLuG8yiZeZn53dwOnS0pZ3joXP6zmE8ZeK+qwndDxklUBNxyOudac+qczzSv6zG8y94oqrNxRXLOwXQdsm1EbWgX2zrmd/5K7c+h5v0elF7QiTKA3cdwx7rd08dS+6ObWcMVlJ5jjUHTKMdVqD7gn6HFZp7HKGNoC++zskr+T3XG1lQK7kE57z9JRd6VUef9SkpXiGVQSyPPUfQLKNHRg/JS5B6UrhRjWWpej6AE/1ChYAglGPZfx/cmkHyVYV3G/Hs6nCL2E5hN+KzSVpdxWoHaMYAyqtkomF2oqJgp5nVo/Sv/3npRjMP35vmRTg9EeG7rWtv36TwcsY1aR1LM7AY6D98RVLTApAhzre2aK0uvCUn/6kkxzKne729KCaevU8xlKyoy7rLA+yqkcdeOXCGtF5V+9Sszz0V0tctijT5UOsPJ3nsdqciw8xjeXSl3j8ylIo5CFerKRis6gWkbKoz8RCoq4FFvjecxTq2OsXRtwvejaO+O3nPbmqLZ15nriFlnaG86A1ADSsl/mi4SbX+GC6t2vfYw92lTRXyD4EjKOBorAs4qUVdRdb1sVGZHKsJoVqR5/DGcUjjuo7yjc83anUwZTELW0X/e51K0aSdKUbqOLnJxBOX1jhlJuD11JuqY319OKVB1KR47mOH1JHPHVlTEVieKfq6mPMuHRvr9DhRP28e83pRK8ZxGyVqPe9/tw7DovkKnJBaD74DZRnhrdLJdnHqbew6NDPDPwQIqsuJhOoX3JIqOHGueYQyHik9L/khHSyxda03t11jOG1D78l2Kdx5JGXUt3+5GySvtI8xj76EpxVOfZfkOeDcw27AVynt8GWUOpciPpZPrMhHmyeT8/zmUTLeP995eFC2N8bwyVBSRNVrYs2DvtRfVWdN2qA6J3PIzCVpTvGApJZtYGf04KiLtDYZHLvrrOJQ6b7+h+NkwKoLyQrOWbzFe921QGRyPmr8fYHgNqorGgxRvsa/9Tsav0dXuA+PUp00jcBT9AkpwlFGFDK+iDDGZnM86U4R+NcVAYxRCW2DmBJ2y7c/blmKsbzFezabxlAX8SKro+UJmK6AxIgW2ZnkB+yTKGm2FgIEUwwlt+5treX+EqlHzS2YrUDFrkVQ0/HWbSvLvjCM85jLppyhlYgWVHmKjH+ZRiluoV8ifbzblmb+MFYfPhgo6XSkP6OQKPtuRSl21e+U8hrU8HcLCGXc3qmRtfGFycyqE/M8kf6AMvDHz7e+lIjn8iIGtKGU4hlHGjlmUINWR5fdEDCNMHaoex1VUePXNlMJ4KmWotFEcB1Ce59DomNGUQcTWjbiEzusKSoiz4fGDWN7zXN2xI0WT7e/cQyna1ujUhPKafsDwmh2+Ybg/Jby1p+p0vEEZ07Yz33uE8aIz7b5uQnlE7zL3YvfHWZSAHLpnWuT8fQ+dQr03FbVrIzrOZXiEHyij1mMUj36aEvg7U7RrFUWvQ4uwD6OrdTib2gvLKUPapubzmyjHQ4vAufxhn0U7SpnpRtHi1dQemU7yK8aLBDqO4jWHUMat2d5nKymFP9a9FSolcQgLx3f8Z2aHX4PqJMq4vNA8w70iruduVARCR0rZfoQu6nkmZayPITNXREt29e77cOocxnZ+zKLopF3TPahooNMZR+n1r9feSyNKuT7Xe1Y3Ujww5r356wpKL7mairCNkeXg70nrMLJr+hWd8ewoypjRgHFkhwvp6GauXNKEomt7MqyO63CqNuB0urps8yi+fiDFA4ZSckwnhkdR+WM+RScPp+j/i+aeelAy9VFU5GvIHP3pSlqAcngdRqdrWWNbjFq4dtShZBN/n9t9eAJdZFruc02jSKPoF1CioyklaFxEebZzN3NjSlEMjZCxv3spXapZ7ly9KI/pLIbXs7BjAKWU2WKzu1CK3IKIczShwh3/SjHj4eb9lpSy66dDDWCcgsWgiLq1vN9KCTgZxk+1sc+pi1nHZt4c/lzTGG5w2plK2djErOtsyphxNKVMjaeU4729NY51n7MpZtmDKpJ8ZuR1BLXv/ELqllH2pxTFW6monL8xPGKskMbdOSyfzlJWwZygohVCw/Dtb3Zntsd6BSWQ+0pHrJonVmi7n9rnG1N7/mzGL57dmDJW/4vOYNCert7KSkpZC31uY6noxDV0YdpHsbxScR/jKPZjKcHqZLqipqDSR1d5c8ymzl/HgLk2ps6AjRQbaObc1azdUMqIcbeZxxqu8z1vW9ClG/q/05guQmAUdd5fYzj/aWSeixXo61OGIN+YvcTcY6x92cFcuz3rZ1CKmuWvDen2TYhg3IXyxl9FGam3oOjVAkrpbUEZXK+mM1SGDnu9YymDiVUoJlJCPyhnx+WUwStkrqqm9SxnmEG5GCmJheQ7/jNbXMn6nkKd99Ci7v7YkaIbv/Deu5RSSO3zCqknWRVaMpI6679hnLS23PEzSqH368KtYFj9NzvOpXim7yy099iEMjpdQDm6r6ngO/nsETBbLvD3J6jorUsY13A3n6LJV9AZ746n6mAtpYxpMZ/dLLNu9rV//k9nuDEmQ8k8H1AOvtcpQ+RJdPWhDqX2zZCI92XHNXSdO+tSTrhnItyXPzpTDkX7vIZQ9Plhuv1zNOXkj1ET1+7BOpQTLNe4Oo+O/yRj03oyin4BJTh8z8k8yuh0gPf+URRBySXSIWM4VaPDKoll3nxzKQEkNN/d/7sPxZBXer87mBLk5kW+tw6UcLyUUkrbU0aS0LQoOwZSRiX7egzFJI9hdmeg7SPN54+9KWJoa0IdRseYc59XvkRxN8oLOYMuAq2ZWdcn6BRH610P7WrWJWetzqGUlwWU57cupdTF7F44jxIW21FCyF3UGXvL3H8P81yHBMxRDOPuaWatulPGs4qUwBg1T/yxF6VI3EVFV1hD7p3MFg5CRkXXfDyVKvEgFYnzC0qYiz3X0ZRgfjsdvaxPGbD7MzydoTclWHWjhN7/UAr1pmb9DjXfGU/t0ZaB842kDLkDct63ysvVZl0vNt8LjXxobn5jM2ZH3JxLl0p0DhXF2ztwrt2pVJABzBZCfR47h+ILHzFe2+SW1L63TSmmUIKyrXUyiOJHjSPN14aKYLIpC2WUEvoKlUoRI9XSOjE6UbWhXjSv65rPrqRzOMQyNtmxKxUl+TxdvaZDqLN+LJXOZNPkazqtJ+YoREpiofmO/e0R1Jl6lKKPFaVDdQh8Zrn/rxNFR+5htkHmBkrWrBswV3VoyceM24LdHw0peWUZZaCcQNVuCnU+X0M5U5qxfBS+PftNqKi009byDKr73GzdooOYHXXjO003zmOOysYIilaC2hPLvOtZQBl6YzYMAiVXfsjyztKJVGR9jGijRtT5PZHiNUvojGiWz05jOP/OHWXUefONvP2pgIInqLMfS3fcg4outUbsK6i9czAV2fUG46bt5RqdrJOoHyULDY28lmkEjqJfQImMyjwnvtFpKHWofs/4lfCbUB6nc3J++0BKaI1Vs6kTHTHfihIELqUjSD9j3FBPy7Ssh/c6SoG6k/LUDoo0x/t0xaQ7UgztWTqjyDxKOA710vhhxa0oBdR6Iw+mQk7tPcWwum9H7beK1qk9XXHRadQeDe1W1Zyus50NC15m1vNWOkFvDitOf8t3bGLmsB4Ty6DHUYbRWIohWPPG3dwxkGLS51I1AmJ1k7HDX5v+Zg1bUbTqU0oosErMfd5zzXf4+3ocFQ2wi1m3nehSwiabdQ4JxffnGkVFUNjfO5kSWDczazwhYB5/9GJ2RMMIyug0ijJCXUl58Z9gnIi0U1i+KObFlMHCGkgmmOcZqkTZfV2HEu6vo1IJYP5+gDLqvsnwfTKWrsNkRZ9bYbIJZRCKEYrvRw/+jGpKcQClDJ5EGe6uopSPWGlEGeoMns1shWJPiqaFpq36Z8Dys84kv2R2zbdr6DpKxfT49qWilAdRZ92f83DKAByaKljZcwTjpvUUKyURLCzf2ZXiOVMow3xuum8Mp4O/x/anztkQ6iz8gtkGXjBMNik0Lano/PgGmPaUE+Ihqnhx78D59qcMZfZ1I0of2aKC+f1nF7pfZlHy1ShKNjmT2fJJjKyAnZnd4XQPimbMpCLfch3CLQPny9Xl6njvv09Fa51H0ZW3GadEiV8iYT5lEDzE3NtkxjXCVDS6UzUKLf2faJ5lTMPdYkruuZJyBJ9AnbvZVPDAVawZI6/d7za97gWqhEJsnpNGhFH0CyiBURXPyVzKYPEZw5lLZaM9yZ9ToZDnU96w3zNezab5VHjnPeb3QUXMXEuFsMYOS7S/l8sU+1G1jd5nWLcqP01uIMkvKGYCKrrpEsrLMJcSVkLXsTll/LMpNi0p5d52cqpLEd6LI67hQO9ZWe+g/5wuoYyG7zPckGF/tyulPJ1OMe4+VPtaW+NiMlVkNCRc198T9hnaNFX/WgZRRoWY3u2aNO7mjq2oyLMtqX3yLrMLmIYKjB0oT48VxLtS52uUuZcdqBDvxxk/wm8GJbAdT3kJF5j7rENFAb3NMEHL3+czKa/1bZSS2Nx8fhIV/WeLuMa8vzK6vWmNTrYeXRPG8/peQKcEwzy7pyjadU3gGlY0dqT2fj1KEbiYzlO4jFKg9g2cox7lyLDr1YISivdgdiRXzDRnP7LDFh7fmdo3481cfSjHQKxoHH/sRhlGrjfP8w3G7SZ7EKVQ2LNujU53UjT5VcbvRmeHjZLchy6NYVtmO0JKIa2nGCmJdhSK75RRsp6NMLqdLloydpMU0Bkt9qVSkPtSRtZTKBoQWh+t0LTE35O7UPSkfgWfwbwfI9J7EqXMgzJUn0PJrM+w8mL8obSrDWVcbUkZDZ6n9IBLGE/nACWD/J0u2rQbRRtf9L4zl8pSCO0kWJkuZ2lJG4r+n0IZUELoZWVBCk2p9M5LzfXE4jG5v2Nf231vndM3U5GNMeWGNpSRxxpAO1Nn/mjvO6HnwN7Pxixff9aPdHqB4fJJGjU0in4B6/mojufkELrWnTU1GlFeoVMohS7EO+oTgClU2G9Dyrq/hq6rQE/KUBIaHbMuwpqrXMeqIbOYUpJOIvkXygIPSnE7lzLcxbK8H0gZW4aa10dTiqE19ow2axkr3Ww4JYz6tQFsekZnuvbRG0WaD5Rg8DCVJnEBZdQYTBm1llGCSQgz60IpTxUxazvqUca21xm3oKkdNW3ctaMRpcwcQwlY1vO6D+PkuQ8j+V9KqRjivb+E8tKDiox5iPEMMhlKSL2Hbt9vTxWankoZDucznvI72Py2pU+XUXvRKoQ/o0sNyXfkCo/+sHRrGEU3DwicK3fk1pdo4f19E12aVMjz8l83oQyEIynheBGlfFvDeYNK/l9157ucipralEpfe4gSWt9geIOIyoZNIxriXccQyih7RITfr2hNfENJH2p/nOWtZ4wxx6zdgZSR6SjzfkeS/6PSpmJ5s+09DqTolG+o3o+il4MpQ96wSGtZiLSeYqYk2lFTfMeuZRfKoeE78h407+9MnftOke6lzMxzN0WzZlARXFZm3pIyFIY0UygmLZlH7ZFLqYiOmpD9rRywMVWW4XnqXB1HGcl3p5xFrSPM1Y5yNoAycLWj9nk/89xAnfV/UDJLqHziO0dnUPU3jzKvTzTrOo+SN19jnLqLa9PlYpYJqWp653VUZKa/l/NdS/v3VizvgLXztjDPNbSBSe5oRdGsjuZ1HfMsv6CLeI1hWBtHRVmvoJyMPs3PTTONHSCRRoRR9AtYj0cxvLCFGqMogcYKToMoQW4udZibkfwnxbztWsSa26Z3LWD5uiT+iEEwmlPRADb9oy4VWnph5Odnf2Mrijn/h1IoOlPh409QIeQf00VAxRhtqQi0PelSp+y6LWH8FuLDKCGuEcW4zzb31Zw6Hy0ZVhizB2Wwm87Ki+jWobxQv6FTAGqCucQ07tphr3Nnan80pyIQ3qVTCHekon96R5ivPpXq+BZ1rq0CeDCleM+hIh92ibRm/nO4kjIs2TSX3akQ+QzDOkH6kZEbUZ7Pl+jaCoOi258zTnH8yoRHf/h17mI1N7DD1pc4K+f9/SjatkXAb/u0zzf4H0rV3gGlzFgFIFRQHUM5AOpTiu0KqvvitZTxvCHluIndeCBj5lxGV6i+rnfPu5jr2JzhhrTRVKTRfDrHQkz+CUrxG0XttdaUQaklRe9foSKVraC/GeMWhwXFb16jeNvdlHJRRtHv31PnMbRToh01ndZT7JTE3FETfAcUr/wNZZC/mo6/XEzx8RhpKBVFWZxByVv30/GCoyiDU0gEb7FoCShe8wLFD46mUtNfZbyGOjDP6DHKiFZG0d4jKGeeXcctqfPXMsJ8m1BRfPeQfJlOHhli7g2U7LqCcSLh7LOfT/HwCyjnmJX9xlL0+lyGG5uqqsvFONdVDVKw3TtDHfn+WEg5g1dQxnmfX9e0nno2tW9shP6hlA4Sy4Ddl6JRLagI1KcYv8NkGjU8in4B6+kopuekpsdoSqnfmy40sQF1eG+nC7U+n+QfGJcgzqFa4o6khJ8lNXyvDSmFu5/33p5UJMJFOc86dNiUqBFUutnfKUWmvvlsJl3R3ZgC6wIqgmscnZAwiTJaxE4j2ptiaPb1QErxuJrhKXutqYilQ3Ler8xDZJWoUvNkjDP3aQWS3ub1Lymjwlt0dXPyGZ0ohamFeb0dJdQdR3lJh1PGyanU2Qg1gPagakzkhnBPpYQQK+TtQ+3TkOg+/1lbY3lLyrh1ErMF03MZrmivS3j0rydGfZV11Ze4mIpAXUQZzkMiCVtTylgjSqldTZ3vrpQi8x5dak8rhguOu1N7+wDvvjIV3MMJlHJfE+f6PMrYCjojkKVbLSL8/h4UPdyLMvrcTRep6xtZQ+5tNJU2eh3J/6PrdDeW4q2gaMz/qDMYY902povg6EzxgE3p+MxSKk2kPuVc2SfSvDWd1rO+pCTW9OhEp6ydSu3NluazeVQts1A+kBuRtsD8fSNl/Lef7c/wFMFC05LWdA697Sj5Y1NKVnnUvH8bZRCNYdw9n+KV61rr5VQNxljPbQblLP25eV3XjBspA9vbDM8G6OHNuQVlpLC1DrelIqj8mk6hfLWQulx1gxRi8rhDKPkOFH1+kdK3QjsjVrZXKno+51JyyoVUBkRIrbRcA9ku1L6YQPEBK490iHh/adTwqIuEXIwBsC2AiwGcB+ACAC8CeNS8fh7A/uY7pYaOAM4GMBfAUwDqmfebAfgMwF8ADACwM4D25u9/BMzXFcCXAP4FIANgEwC7A5gC4GsApwOoD6ApgM8D5qkM/wPwNoDbAQyE7qUhgJMB3Gm+w4Dfz5j/nwGwKYCHAawy43cA7gdwEICHADzh/b+QOS3qAPgJ2p/zAYwFcAaAZwAMAnAggA8izOPjBQAHABgP4G7oLLwE4AcAnwb+dlsAnwBYZl5PgPZhC+js3QpgDYAyAN8A+NB8L8ZaFgrtACwEsCd01rYF0BjAHgBGAmgJYBaAX8PtreqgObTXWgB4BMBN0Dr1AXA8gD8BWAztmaUAlkPPLp+5AD2L0QB6Qs/mbmhPAjpf8wBMgvbnxgAOB/B9HvNY2Gs8EsBQM9d9AE6FaMleAOoCWA3dZwjqAdgNwLHQ/msB0a+uEK18AdlrtiZwvt3NXMcAeB3Ad9D91YXOxSAAuwLoYubdF6Ix+aIOgGsAtDK/fyaA3gAWQet5O/S8fgfg32bki64AToHo/mtm7rrQvnvXfKcBxFf3BTAZ4efa7uku0Dr+FeIFEwE8DuCf0P1ebq7rozzmaA9gO4jubwTR3APMe3UA/AjgXmhffuf9v3zvbSCAG6B7eAbAK9D+3wria/8x3/sJwIPI5jn5oiGAo6H7uQ7A36A90gmiZeMhmWm6+e5eAP6L/GhKOwAdIJ4yCXpOcwB0g/bFQADbQ7TtjxB/+66iH6oi7PXNMfNdDO37JebvPgB+D9HVPRHO44qB9gBaQzxllBmTIbmsL3T+RkHnMl8+AO//zTO/f5h5fSgka64E8H8QrzgUwJ/znKfQtCQD7bkjIL7SG8BM6Bx0gfYooLPWCpI5Q9AYemZnmdc7Qve8IyRv3Q9gMwBXQjLEbO86q3uf/v/JQLTkdwCuhmjJReazYyH69l+IV+SLphDtWANghvmtdyBeWwfAWwCOA3A9pA8sRxhfLaQul4FkqTKIJq6GeGpbaO0aQ7rXLXAyUgzdw+InANMgWk3o/n4O6XY3QfwvBP58zQB8Zf62MvkaSOZ6EpLxLgfwcZ5z1Yee3YsQT+htfmsMtJ4HAPgDgHHQuZwI0ZaE9RzJ4JSN3SFC/0voAP8BYlq9IMJosTnEXEIYdDHwLaQoPQUpT4dAjGx7SHh8AjIyDQKwAPkbmzIQ078AUnjPhAT8ZpCQ8CGkqAIiGJ8DuAf5r2VFz6EuJPCfbuZ9EMCbAIYDGIH8FIxcEDL0jIXuqyVEfDMAboaE2MsA9APwRQXXWFVUdH8/QYT5e0gwaAJgG0go+CXCGUxF+AISXHeG1nA1dG8TICU8H7SGmMWHkFJ/PXS+vjbjeQAnQs/rJYQr9sVEHWgvToSUxOYQ0zwKwLU5381nr/wPYvQDIOFnCYBLIYH1Asj42RYyPr0GZ0TId1+ugZ7XFACDoX16l/m9byBa2gPakz8ijsJ2CKTUHgjgEgD7QQLVmdBZ/xFSPEIMW9URHmNgrPn9xRB99vEjJJD/CxLAY8HS9vMgxelwSNl+FuIFjSB6ciL0/EJgn/075ndnQPT/vwB+Cxk/x0A8ZzLCDGkWljZfDQmuW0EGxG4AfgXxnB4QrcyHF2SgczYf4jX3Q8bCltCa7QHtnxcgI/BIhCsY20H0t4F57yrI8NoI4m1fA3gMUkj3hRTSEJRBNOVO6IxPhPbgO5CidieA9yD56DnI8Gb3Sj73moHo1D8BbAEpL/+BeNtG5jubQjzhVuRvbNoe4jt/hmjgXtBeOQjiQ/tAyvHp0L5pjNIyNll5YScA50LPzhrtRkDGutGQIeEgOFqQzzPrBMnJgJ7TAGhv/BFat/8CGAZgF4iOfQg5PvJFIWmJXcfHIUfQidB9fAHx8vehfXMtgK0hnhRy5jpCz+JNAAdD69gPwN+hszgGojVPQ+dwqfl/VuGvDnyZ8gjovu4HcAfEU++BeHgG0ov2hTOU5Iv/QvLwDEhmPQqSUxdDRt/PobVdBtHsEBRSlyt0kIJ/raOg+1kO0chBkDz+X0hW2gJ6jrHmmw3pjB9ADsb3oL1n9a2HA+cCdLYykGOhBUQ//mTGx9BZ6wY92+OQjE0lgwxZSvaSGkVXSIGYAec5yZjxI3TgrOfkKMQTjAuJ5pBRaTVEkB+HvKSfAzgfYjofQPcZ4jm0DLAhRJRegRSqbgDOMfOeDwlCxwLYG/lH4/jEsCukmH0Np6j9YD7rDzGezyFhKAZ6Qgr9LEiQeg4SBm6CLPOHQZ6oUOZpMRsiwG0ggQqIb/Ss7PdsRFUziGlPgAS+q6DIgXzQA1Jyj4P2RGdoLdcAuAISRr6FjCg3QvuolGDXsjskAPwT2ofTIYXpYUgJHgEZgX5A/s/SnrnGkADZyMz/KmQ0aQXRtn8D2BL5e5grmrMJtNc7Q0L/neb9uZDXrR/yF1Zz9+NkaB/sCgn7e5q5WkJ0i5D3OV/4wmN7SHjsCxdlZ4XHntAzC0U9M8dD0H6oKJIKiH/O+0J7ozlEg7tABpM/Qcp4O2jPPBswRz9IEP0GimqwAvHzUOTI36DneA501ush7Nn52Bri00vNfKdCiukY6P5sNMIbyH9tW0B7cDJEB++HaOM8iI4NgQxNDyAOD2gCrWNnyLA0HOKp46Dr3wJ6rm8h3KHSC9oXjSHe/SN0xj+D+Nsm0Fk/BaI3UyADUT7w138GZCQ5D8BpcE7Ra6Ez1xQ6f+8iP4yGlN5nIMV6V+jZjIUU3+HQet4GRbIszXOeQqM5FHVg13EEZEReBtGVQ6Hz+A1EU04DcAIU1RIy541mni+gZ/UIZKy4wvveAGiNQ+hXoWmJvyfnm/k/h+jKFMiw1BqKutsR2i/5ykGA+E0D6Hk1g87xPpDR8xUz31lQVNDl3v/Lx9jkYzwkV94H7f3fQOejE0Qz60ORMqsD5vDXsgyiLYug53QiRDvbQfS4D6Sb5BsdAxRWl/MNW3dBck4G5Q1bJ0AGxRmIx8fnQbR3L0inyUBn718Q354GYCrCDLw+pkNrNRXSI5+B9qul+zFllB2hPfkhZDj7GNJ7pkF8biPIqf9Q5HkTahLFzulbj0YnqkV4A6quxXwqF/ZuqmZGa6pmweuM362qEMPm2ral6lhMYnab0esZt3MOqLoI91F54VdRXQxsrYn7qfztWO0551C1Cc6hWn/aHOAYtVUqGm2ovPA36fL2N6Xy6q9jeC2e3DGDKpTXiWrdvMj7rCZaq+5P5Uv7xV9z86pDij93oerGTF/H9/qaNd4+YK5iDLvvdqPqf9xCdZTx13M0VRchpMCuv7/91rtHUWfBdvHbgq5uTch+qazdbxMqx/4iqkvjdKqAcN+Aufzr7G+ufz5V5+Fu77MZVH2ekP0IFr42SDFrBd5OFUMHVcvvTGqPdoz0+2Mo+j6Z2jM7UDxnLl1hUVAFTodGvK861P5/gqIvO3mfXUEVTY713EDx0MlUt6+9qLodT5pn+hlV7DrGffn1646k+OdbdDXuYvK5HlTh7yMoPvMJVbtma6q478nUWfsZVTR5RMBcmZy/N6XqdfyOOuv2s7ZUPZSQIvkDSf6VrmPnTIqWNKHqTq007+9J0ZfNA+Yq5KhLNRHw39ufqlVp6+FsZJ7XRVQdJ8tz8j0Lg6mC4KDqAp7szXuG9/sHUbVlQmqBFouWgOoG9xBdzamzqY7OGarZzoQIcyyl6inmdlrMbTawkq5wfYwxgJKtLI3charHeQyl79RleGFmny5tRtdBrTtVFPwX5vXWlG4Qo9tfoXS5rtS+tE2J6pg1q0d3rhpQ+/YVxq0BN9RcfwvzekdKRtqW4nOP09XGynf4tKEFVZupHUVTnqR4wUrq/MfQQexvWDmuA9Wl8H7qrNn36jG8W24aRRhFv4D1YPSjCO+21AG6kSp8tpQqtDuFMiL0pghVjA4NhRq5ymFlQulkqpB4SCHH3LErJRA3oZjLw5Qg0oQizK0Zp7sGKEXxKXOvV1GFPnMF2Rjz5P7OIGpvHENXvK4RRRA3C5w7tyDxJeY351ACUF2GFWCuaFglex5VJHI/ylh4UM61xFjP0+iEjTJqr+5DtQ6vY+7tEGpfhnbPKeRo6q3PplQR4Z9RSv1ISkgYS+3V3zLMKNnFPJuKDEBNKcX0IsqAEuOZVaXd71xK+f6MYZ32/Os9kjJcW6XlVkqgakedhxjFTAstPBa6y5Lf3c++dzPVORDU/ryA2YWu8x1DqMLW/dfxvQmUMTYG37H3Z2nilpSgejzdvjnA3GOMefpQSncv896B1L7fiVLuB3HtXVirMioz7jamjKwXU/soJh9oQe2JG7z3TqH4KqimIudSTQ5CjD/+/YAybt1EGSxAKYLvm/enUwpkSKelDGVgup2STez7t1GySGfqPDxG0ZNY3eEKMVpSdKMRs9ui70XyO7rupBWte76jDWWsGE4ZC/5s1rc1peD/huRdVCOVEKV+CAtPS+zoRhn9zzGv61D84HyqqcJqhncl3YWOBoPlZfR6Zk3vY/aZzGfkysR9zHNayexOq8spnhvqwMnl4U9QjpXF3vreQBm5YuzJQutyhQxSyF2fLhQdvpjany+Ze7MOxmYR57O0sIH52xbKr0vyT1Tzp1gd4/am6MZy7/ksonSeedQ56BhprjQKPIp+AUUexfSc1PSoSjvv7pSx5B2GK2y5YyglzFlGthnJv1BejdDOCbmMcCTliZpBCYxWAB/M+MamkZSX6QCzrgOpzhRHM1vYCZm3BV2L3R0ohekSypB2O11b3EV0bb5Dxvbec+pHeSSbUZ1mfkt1PDos0jravXgAJXxsTRlFbiH5N0o4OIY6j+cwvHtOIUdLqkPhJLOejSmBxBciF5j7A905yGev9KDOrW0j7P+OVcyaUHv1EoYLV1Vt99uEMpTE8FSCip54hdktfkEJqjdSwnIM2lVI4bFYHdv6k5zGbOHwVrposeYMV6BA7fGjmL0v/HtoSwmPb0VYS/+3x1DdnX5J0Y0tKcPkreYZvkkJtKHzjSb5MUX3/0zRYBs5/Ayd0B+6R9Zl3J1DRSaPizCfHQ0pmnEmHW9ZSHXQtN8ZStHsGB25QPHuVdSeuZeij42p83AXpWT0iTCPNYhfSNGzc818ftescYxHuwo17P4YREV5X0oZRUDtyViRdrlG3cWUIg/zfD6gDIQguQklu2wSOGchaUkunW1s5v99Beu3M8MNrqCMgcty7s+OppQBe6Z5pvb9fKIZ/XvrROcQ3YripZd6v/uzCM9tEGUEBWXo+bV5VtdSct555rNeVNRp6HyF1OUKbdjyn10vSvZrR8nkV5vraUbxvXVlDFR3LKB0KnsP3Shj67YUDb2fbi+Fjm0oR/duFG3+E92+mEbRtj0i318aBRxFv4AijiEsnuekpkdV23k3pjwPNeHN254yIvShayn7S0qwzA0drs7YiCI69ShBZC8qnPQLyspvv3c4JYzHsrzDzPsqRegfoYh9E0oosJ6byox7VR0ZiuEvpgSB5837E6lUOhuBcQCz0/nynQt06V5W4NiU5L50KTezqPD83LD96o5uZp1GUQrVeST/QAn9u1GMawplIAHjpIAVcjQmeSwl7NtQ+5Vmfe13ZtO1Ms43DaY1Zfg4JOd9f+/5BqAOgfdV3Xa/IWMonYIBSmi0nt0ylhfKQ89boYXHYoXh16Hoysskp9LRxe0oo8m9Eeaw138pRev99+zoRdHLWXRG9RhjBBVNOJjaLzZqoAdlOLydcg6EztPM/J5NPx9Fee5tFOZkak+FzFFV425TSsEISVfyh2/MmkcJ/TdQTodcg+9GkeYsRFpP7r3VdEpiMcY2lGzShjKoraJzREwm+V9K7grhpblGgZGUE9Gmu/emIppOjHA/haYl/m+Pp4w8A6h9P5XkAwxLHa1sdKcipXw+ag1621GGrRbeZ6H7dD6luN9DZ5TsShmCbqxgjfMdralzPY6iZ60pmnK/eVbvUfQFLJ86WN0xhIXT5YoZpLCYktMfpQz+vsFzf3NdMRxGdhxM6R8tzOtNKRoyjeIJrzNeeZle1P4723vvLJIf0aU228jNUtEH0sgZRb+AIo5Ce2ELNaqqHFrGVZOH9+eUsnY85a1/kuHhkGWUQPUqFe68lXl/FhUevLd5bq8xPIfZH22okPsOlEDyMmU8WUpFRAxkvHpUjShP/ZeU4GPfX0jyRXMdv2b4vrTrU5fkr5gdjXMYXcrbRMpIEsLMelEKtM+YG9IZO62xYjdKuGvO0mIsucrapZRw0tSs62MUo36b4d7mXpTX376eQIVWL2X59MfQ+ypknaFeZv02odubfahISf8sT6KiGTMM2yPFEB6LEYbfnaqxUp9S0J6mlKg65vVpjGOMsWM4ZYSx9bvK6PbiXHNfsRX8KZTiO4KikR3M+40pHvEwZQxuHjBHG3PdV1FnzipKkygFv4zhRtfqGndj0MjK6sDNppwOcyqYN3RP2r/7sObSeoqRklio0Y2Kql5k1m0rKrp2LEWXrVxkDduhhvLNqOiDMykaZp/Vz6kIlRbmdR+KpoY4Ff1RaFoyi1KyDyf5OSWPbETRy+fo6n/FGhmKLl3I8nUqVzLb+ZLPWff39hRzDw0pZ98auuiqnuY5hhivcyPgFlF6Fih+uoJOhryezkAauoaF0uWGsHhBCkOplG1Qxqb7qH1fn4qSe5hxazaBkotOpJzbJ1Ln/1rKQNmB8RwdoPTC6ylDqH8OLqTq7DVkHIdmGkUcZcUuWl4EZMy/naCq94DroGQr3fcyn/8IdTIJ6T5RSOS2894U6n5xIdQN4mqotTHgOluEtmquCPXMv6cBuBfqeNcF6lr1x4D5AF33LdB1vw21jK0HdbG5DOqe1gPAJKhbTwy0hjo/nAB1ZjkR6nBxLdQO/gao88s7lf1AFeCfxW+hZ3Y+gA4ADjDvnw91pVgAtXjNd1/a53YH1FHsR6j7w1cAVppr+RPUXe1GqBPRmVAL1HzQHHo2V5h/Pzfvfw+1FgZ0BkdCHT+ugNphl0LnCfvc1kDr+g20Hz6AOtANgboePQZ1mVoAdeTLB63hWku3AHA91D3tIKhL22+hvbmjd00hGAN1k6kPdY1qBXUb+sG8HgbtyVjtfpcDWAid6RegPbca6mYz0Xw2FepquAraH/nukSFQh8nZUNetT6CONjdDe/Tf5nsToK5+IV1zAHU5GgB12foI6szzBtSV5xmoI8v2UGe8R6C9E8p3CHXlsnTjOIhGHQNHv+6DOto8HziXjxcB/BqiW32hfbgGahs+FTrboXvT0rDNoTPRAOoS9Auoc9CfoHtfDD27E6H1r1vul6qGLaEOWM2gs72TmRsQDfsnRAtCWodXh3/nyiz5ogv0nDb2fi8DdXq9EeIRm0PdiWLcn73eTtD9rTa//Tl0r2XQ3rnMzP1jnnPtDtGTbtDegJm7DOoYejP03PaDzlopoQckA7UFsDPUxexb6KxdCtGsjyH6/QtIzv27+b+VyWzrwhdQ176toe6cN5vffQ5aU3uuVkPd4z4v/xN5oRC0BNA9bA5d+2joHL4O0eIvILnoWoTzgVwQ6vT1DXTGDwewg5nvS+hM+N+tDkZBPLS5ef0htN8PhzpdtoD2yFKoS9vRAP5R7TtwaGf+/d78+4b5zd4QP/0O2j9zoQ7WoyG5Ol8UWpfrC9Gll+H2u3+e2kKd45ZAnQxDOgHnntOvoQ7Yp0PnfwK077eDZKWJCNN3fNps5cyPzd+zzG8fA+3TehB/DdkrVm7eDuoq+G9IvvsHpNv0MZ8fDXVP/x/CeE/C+oBiW7yKOIrhha3JUawitKBCL/enij7b93K9hrGs05MpS3hrKgTzGjpPQssaWNfNqJSo8eZ1X8oTBMrjcSHj1Jfw728ynSftKCrFbIxZ5xg52tb7WY+KpPBrCCynoqtAeUcPY3haTz0qgqoFK94LHanw/JfpimiXQnTT2op229SNyxin6HkPKpporHlO3SlP1wXmOmxdr8sZntIDFrbOUMab0xZ13pLqjrWYosMHUhFWVzFOxGkhI1yLFYbfh0oP7EOd40tJnkTxgs3M++vy1uY72lPRD89QqRu/pGqhxIwW3oOq8dPRPMPbzADF835HFykEhkeyPEpF6zakUs2Wmn9XM5v35btHCsm/werXgQuts2LHfNZsWk+xUhILMTahoreP8d57kIrMmUtFIi8w9/4m49QT8/dFE0oeuI5K7zmBisQ+v4LvxhqFoCV2nELty0fp5P951P6syee6EcVrn6PO2nneZ/noIaOps703XQHpBub53U6l6sGs5x8YfgbWFgFn60/NJHklFYHXO+La1bQuV8z0zrrm9VZUlPyjdKllM6no0JCo3dyxkKp5eAdFR1vRRfLuRekLIZFbPg/ek6JltpTB9hQfupTa/zbSqZT08DTWMop+AUUcTSjmcg6zW3cfSKX+lFLNpmIVoQUV1v0cFYL8nJnDfuaHw8eYcxIlUNn0j4ZUZxvLCN5neJ0CMJvAtaeE0qUUwd2Yyj+/guQ/WblQm8/Yh8pZ/iWVsmSNS3MogvxHhhdIbk6l71gBox6V5uUbnWy3nliEviW1P33Di/3tZpTA0JGuWGspGJuqqqzNpRjq4IB760IptesyNvallIzc0PzqjmLVGepKpUPZWmFbkPyU2TQl1GhQaOFxCIsXhr8XXat3UKmcL1J8byvv/Zo6b42ofX8KlcIUs1ZgX4pu+WlmHeg6GD5LR28yOf9WZ7SlK4rag66+XFOq3tAEuvpD+a5jMfh3IevAFTKtpxgpiYUcXSiDyCy69KRLKNmhDXXGb6YcYbn7v7qjspREO3Yzz/Pv1HkL7Yy1tlGTtGQ85cQEVbfvZTo5a3/qbG4Vcb61jdx6RvnIYB0peWFYzm+2Nv+eTxm3T6AM9DEMro0oB8Z9FI26hdqPwygnUQvve40jzOePQulyhQhS2JLOoHSUWcvzKBo61TyvJZTj6C3GK+MBaq+vMn+/Qjkv7fpOoByeIUbenuY5NaXqk/2WMqAvNvdyO8VLN6bq+JVSp9A0qjCKfgFFHoX0nNTUKLRy6Asd21Cd0+pQRPBxSsFZEunechWF06m8+r297zSgCNa5DM9h9g1kg+iE0s0owfwWilC2oVorh7a99sckyjBhiexAypthu740Y7hgMJjkGebv4RTxBys2Ol3DOF1Y7JhORQP0odunoLwcS+mYbCmM6ihrTanihycEzHcaXT2tMvNc9jFrWYcSRg6hDGAxoqkKVWdoG0qI8t87mIp+sAJ+e6pY/pLIz7BQEa6FjKTyazbVpYptPsDszi5XUdGGxzJugdFCjwMpGmWfnf9ZQzpFOV9lO0PR21spY/8Mig+soqKRYt1HsYy7haoDN4qSrawXfhClZMyloriaUY6bpebzkALChaw3V8zRx9zXPErx/A3Ld4oKNaitrctx7p7owfDGFIUcuWuyGcXLTjOfXUXJeispJ0Ah9YHcGmf5/EY7cw+gztoxVCToR3RFvE+l+N92ka+7sgi4C2t43Qqhy9WkYStD0cinqcj43SiatYdZyyco2rgLFYW0hOH8O3d/HUDxgblU0w3rKNiY0ks2D5irBUWndqRo02BKXxtJRTn1o+j2s1T0XUjtvjTW05FvPYPagr8COBfAk1D9mL8B2Auurkwp4EcAn0K1ORoBmAHlRv8XqumyFMrTXgDVSvhdwFwtoLoLv4dyb78HcBS0ZiOhmi4zoLoZPwH4ZcBcfk7x1lD++YlQju8pUH74H6G88HMB1EFYju8mUI7y5VCNFVvbpSu0vk8B+BmASwCcDeDhgLkAd3/2315Q3vfj0P57CcCpUP2VBlDu+FeBc74H1Ud6AlrHQ6Hc8POg+jEvQ7UDxgGYHjhXLlZA9ahmQrU5noLqJZwN1Qn6OvJ8NYm2UM2fZeb1BKiWRguoptKt0Lksg+7rb1CdkAug/VrVWgwNzPffgeoxbA3V4mkLnbVHAbxr5tsGOncPBdxXP6g2wTdwdYYGQfV9njH3sSu0Rx+B6ij9Lc+5GkDnaSGAodD+eAaqTTIEojMfQzR6K6j2UUz4tUEA4FXzr60Nch/CaoPYc90JwP+Z9yqqL9EMrr7E7yPMtxtU92Mf6BmugurMbQvVgNgBeq47QnVuPobqlazv8PkBoH3RGKobYuuA7ALV8lgBnRug+nVP7DyNIRp5JIAtoDpKjczf86H9ElJ/xKKQ/BtQTY7/Q3YduM0hOvU1dNZPhPbOSwg7A6MhmncC3HN4BaIxO5vPvoL47L7Qs8y3LsgYaI9fDPGzC6Az/qh5/TxUtyxWvbliYjV0n/Mhmj0b2kMZM9YgrMbXWKj2z2KoPkwu/N/MIIxuFQP2+ttDZ/hTiG7eC63bTIhubwnVa/u0CNeW+3d18C1E56+BaPzjEO2/B8CVEJ18GE6+yBdbQLLC53Cy7DcQjTocWtM2UP2dvhCvC5VhK0MhdLlvoDpe0yD6YmunTTAjpGYToXpkx0K1b/8N6RoPmHE19MzGQTUXc/lhvnMCksF6AXjQ/P0faN/8ZK5nc0jPC+EFX0Hn6GioXuAB5r0xkD73CrQv65j3863dl7AeI0OWQl3ehArgK4eHAtgITjn8PZxyeA5EjOshf+UQkPK8EyQo9oKKcQ6BlJXJUNHiSyFm3RYqOPpJwHwWcyFh9FWo6PJsSBgaDuBgSHCOgXqQ4PtPAGdARTaXQoy7D0RsD4fW/SpI6MsXPrPYBrqH/0FEfSqkLP7RXNMOEKHOdy3tXPUhA+FiiKifBRVzvBPAddA+qQ8JJhOgvRKbOLSDhP7ZUIHmzuY6ViIOA61pWGUtAwlxH6K8sjYPwGGQsmYxATL2VaeoYzfIAHo79FyGQYWE34SEj9WQEaovpBTXg85ivutoC8xeAu2BNtA5bwkZtGwR7RWQsvN0HnNUhHoAToJoxg7Q2i2E6Nk+keaoDO0h4XEEyguPsRpFDIcU7mMhGuYXmZ8LreO7yF+YawkVlwVkNL4FKiK/GhLwu0B7dH+Ifi6FjGmDoP0bUviz0BgK3cu/oPN3C3Sfb0GFfW+EnuevA+fZGzK4tzK/ebN5vwPEcwZAhVTfR/7nrdD8G1Cx2duh4vGPQ/R3FrT3rjDzfAs5XW6EzkS+6AjR9aMh54KlT60BfAY5UmzDj+0g3pfvXtwd4iO/hArH/wQ9l17IbuRxgrmuGVj/eU1V0AN6li9CdCTUGAnoeVwAOS4ehoySm0COt89QsQGqVLA9tP/+DNGL+yDe8wy0NztA5+IByMBbiiiDznNbSD7IALgbki8JGZhvhZyOIdgd4mnHQMXVfcOVvQaLHhBd+VPgnOsLGkFylzVsPYUww1YuD+kN0cf3oAL9/zHv3wSdxV3hDMuh2AvimVPN7/0K4kGvQPLRQojnhTZEWgM51K+FDJ8Hms9+af4+BqLhh6C0aUzC2lDsEKs08hqFLkKbyfnNv1IpBva9CVS47oXms84R5gQVbvk0lfO9nEpvsJ+dR4XPxgi9tGH8g6gQ6ke8dVxGpbtMo2o3xUyjm0vySSod8Arz3pkkX6JqNcSYI7fQ60iSf6Gr87MdlYq1JOJ9rWu0o9ISbYhuKdTRKGTR7l5UiLZ/nhvSpVvadIndqJSp5oFrOITFqTPkp33Uo9JDllEpX2sYJz1wXaMma4OANRuG35OiTTbNqjeVSnAwlTK3mqpNYuuHxSwuWqhh9/XPqCLaZ1LpLzOpdKzTKL5wP13DgZCxtfn97ai06WvpCtfb7/zCvJ/vHMUoIl/oOnCFSuspVkpioUZFdN1/rw9V++Q4Oh4UOldtTEkcTfG466gUrz4UP3uUOmM2fegCap+0q2Tt18eRW2ursjTYyZSsF8q/11WUP0Za4IYy/PXZgyql0Z2SjVdRPMHn26GNG/z5mlEy7Od0svj2FF3+FaVzxUrzB5VON5FKtTzXe/9squ5erAYHaayno+gXkEa1xxAWVjnM7UZ3JyVwn05X3BcUsdiXYQpbLnMaSRXHPIISDGwtAavQt4mwnnbOMZRQNYXKKV5O1VcBpXCcyrgK8LqMac8y3Ji2ts4hl9EVcuxDCe2tKngGaRRWWWtOGSEPM6/t88gVIkeauXaLcH+FrDOUO3L3W3dKkH2ZpVUXZG2jJupL9KCKL/uG/1aU0f9hqh5DL8rQNXk9WIOQ0c/ch93rPSnFaW7OvVe0n6oy/P8zhDLi2tc7UPt+qPfeRMp4kk+9oSEsjnG30HXgmlOOk2soJ9RS87wmkvwbXdev3PpA1R2FqjdXzDGIMrB29NYrQ7dvt2d4LZ5idEks1BhI7cEh5vVMqhlFGcnZ1H45yNy/LXZd7Guu6lhbrS07ulMG33cY3nSmqkX506jeOJLkryka+T511vtRes+xjF+Q3/6edQz4xeMbmn9DDdh2DKKcQdbh1p2SXc7xvmMNvkn/qMVjQ6/hVIroC9XzeRkKyf8R2SGZbaH82OlQakVIXjG83x0Mhf6PMu8tBjAQyrdtBaX9LENYHSU/zezPUH2Ra6A0pu3NZzPNtRyBsBoaXaG6MK9D6zcBwG1QSOlNUBrFMijU9Fzv/+WbQlHR/7sdCldtDYW2Akq1WASlNIXmMX8BrddpUGhuUyh14TmoZow9/6uhdI7vA+errTgEwP3QXiyDQo37AfgDlM5TBwoL9kPM88W3UPrk3eZ1GXSmbPh0RyhN6kyo1spDCN+Thagz5F+jX2+NOZ+/Z8YTCKMl6xNi15fYHNqPV0LplfWg1NijAJwMpYd8B9X8GgnVZihF2D0xAkqv/BPEZ34HpZc+DPG7n0N1RIDqnYOmUEob4cL+/2R+awSA30CpvyvNPIDqnpRBdSfyqX1VaP5d6DpwgNbnPwD2MHM+i+y0nhFQ+tIHyL+GTCHrzRUTO0P39iF0lm+DntlXcOm5IfwGyE5J/Ania/uifEri5pCsVwrp7xYZKGXz19BZALSew6B05CugdPhtobp2CxCnNlshsK5aW/Y5fQKdvX0Qnvr1A7TvxkNy45kQLdkIqnt3NpTqnFA1lEE1KkdDes1pkIz1V6isxnEQr7kmcJ4+EK95G0pz3g7id9cDuAhOzzkGSnUGJIvmCyvj7QzpOXdCdP9cSMc61Lx/PpS2Z3WPUqErCXkgGZxKB4UuQutjO0iR+R+AhhAhug4iUuMhwW4s8lcQ7b2VQXV+LoPyfG+DGJgtRp6BhOWpCCOG3SCF7ZeQsEZIsGoJoDkkLM+EBK+TIIZu58uXIBbSmGbxP0goOAgqgLkQEgaeAjARuqeF5rulUDi40CiGstYEqmU0GDIU/ASnDDeDhJMPIQPXRwgT/u3/WwHVN+mL8nWGhkP1Qa5G/jUD/Gs8HFq7FZByaAuy5t5DjPoE6xO+hZSe0PpCANATaprwMbQXr4Roil8jYxhE306DFPBSgt0vm0BGgrMhIfhAqF7Naoi37QYZ64Hqn4GW0Hn9PeRcsPvtL5BSNgaqWfgaVKPQ1pz4DsDyPOYrBv/268B9DdX6egCuDtwiuDpwn0AG7HzrwPkFhNdANOSf0Fr5mAzVwDq1ujfjIbfe3M3Q2r2K7Hpz4yBF+I2AuQqJhsgudr8tZEw9AFIUZ0NKGwA8BlfbJQRdIYV2CrTX60B6QQbibYD44P6QEWoySkspJORArAvJqHUgntYQ2q+Aa/4RWkS7kKgH0b9jITmkolpbVqb+L1RfNeS5bUhF+Wsa9aD9+C1EK/8P4m8nQ7rA/hAdngjpQfshzBk8FpIDJkBneC/oeb4N6RnHQfxgofneTOQvf1knzk+QU2B3iGasgmSSa6F9uAzSSzbOc56EEkQyOJUOCqUcAuUFzjcB3ABFeoyAFJgvIEWnMSSo/jPPuXwmn4EUjFMgK/w3kHf0Q8gi/ndzDSEF7HpAAsipkPGlDFJaXoYI7k7QuraB7nM5woxbhTamVadzSH+4ziGlJEQWAoVU1nx8CQmH4yEv12rzm4CKJo+Hik3brn4xnltNd2yz1zgeEjLuBTAJinK4D4p0qOz/JJTH45DBZBiA06GIxSO9z1tDxqhpkNGilCISrHF1DCSAfwgJr0dC0U1LoKYOL8MVSc7n/r6HFPY+EC28y/zGj1BHujHQ2Z4KKfovePPks5aF5N+ADDDLoCLxr0FGmFWQk+N9OA/0vyAjdnO4DlLVvb+KCgjnXn93qBj7FEiByjdyawhEHydCewAQ/X0t53sTICfLx3nOU2g0hNZlOZzBrgukgO4OKYdXQMrgHpDsfifCo0AL3SWx0CiD5B/bUGA2FCXcD9qntpkKUDrGpupEGtlzGEL/a3MEXKExBjpHnSHe9ghkMK8LNZyxkbRToLP4BPLXrQCd5csho9OfIJnuLPP7H0EGbUBGytORHU1fXbSEnDjvQbxnH2ifvAnd31OQDnK7eX1DnvMklCiSwan0UNPKIeCYxSyIADaChP8mEBEhZAj6ChLW88VwqDX66VBLzLEQU3sauoeTIAv4BZCwHIoWUPjo7+DCfh+HvDTnQELxZABzzN8LIKErXxTamFaR4G+fpVXkbATOi5Bhq6ba1JYyCqmsVYQVkDFmJoA7IEY9CBIiF8EZm2KhJtv9WgyAjAVHwEWpTASwJ7QnS621drFghfk7oWfUBuqIaCMzd4ae5Ri4NS0F4d92MVsDRXBdDKWVfQbxunsh/tAaEpIPhIsUqu79Wa//ZVBXxEHm/Xugc/0N1DHtSsjoG0NpsygE/24O3dsVkFBvDdbfw6XU/ASlaJ0FebjzjZYpdFpPoVMSC4U6kJOjAXQWfoL4QB1ILpgCpaJcZd57G2HGptqckpgbbWedbtdBMlEvyFj/JEqvjEChI41qewRcITEaSiE7EeIrI83oZN7/CYpc/C1kVJ6KMGPTWGifdIQMXO9BesbPIXo/FnpWJ0DPcEnAXEC2E+cz6D6/hyKqXoF0nachulzbItgTqoAMmWhDCaIQ7bznQN6TeVBqzzWQZ3kOXGjkY8ifuYyGFOgjIcOLrffwGeRh/hry+N0AeaVuQbg3ryF0/S0gZjkZCrc/wfvOFhDxbYAw409lxrRvzOuTIGHuAsSpVTMWWs/FkPCRC18oTx6oytEcqtlyM5yy5td4sRgJPbvjEJ5GVxHaQULcbEjQ6wwphytRc88vZrvf3P3WG/K0/QsSTNdAaYOzIEX1KqS0zqrCX9v9IEXxFSjq9ETIAHB/cS4tL3SDaPGT0J7rDhlWj4AUnDUQ/3kEqgXUFRVHxa0L/hm2a9gEMjp1hvbhbZBx9Eno/D2Qzw2tAzXNv+tByvWRkFHOr5kGZNeBOw3aK/nQlHoQDXwIqqdVUVoP4NY9hG7Z/3spdE8nVfB7NiVxB2gflZIRuwl0LztBDqNWkMPjBWi/HAbtxesjzJWbktgGWruWyE5JXAEprE9HmLNQqMjpBrg92ARS5HeA9v3Kgl9h/vAjje6CznQG5SONToDO+AyEywmdICft/tAaVhYBtxCi4bH0j9qGgdAzOwguxb0MMsbsAcnsd0Py3qdQbdB8eJxFbyhS9hBIl/kN5NheZea5EzJObg2dlUkI03f883UYxMMfMuMciIadDtHkXB6csIEgGZxKFzGVQx+WCFwAF5EwHDI+fW8+mwIZSz6t5DfWBUt8bW5vK4jwNYaY2ZdQyttwiADPh2prhCCXIO4D3c8Y7zs7QjnITwbOVWhjWlUF/4R1o1DKWlXRDtq3DaAzUApM2r/GTpDQ/ykUDXYSZHQ9Crqvn0Eh+n8v/zMJa4G/LydAgusoiF4/gNLYJ4CimZZDBse3ISF4C0hAPgmuvsoZ0B65BPndWxcohfhRuALjuUanTSA+MQlytKzMc66qoKb4NyDDwXOQMdwWjPfrwPWHUs3qIP86cPb/XA7RppNRmALCwyGF+liUT0mcCxlH3kVpetB7QOs1FXqGB0NRCUuhsz0VSkn5FPnvySEQf/NTEivCBKjRyD4onSixdTndbERcU+j+74UiGUsBXaG9MQMu0ihjxo/QfrCRRkchPP3Rj4A7FDrTNgLu93ARcOdA0Tr1UDoRcIVGBnpuQyHHybNwDYEykPG3I8R3YqEXtCfsHhgBGZD3g2i+TS0FFPGUr6FwbU4c3+h0MYDNIBr2TblfSdggkFLqShcxi9D6aAsx4XaQJfzfkPDxHaSEfwKFdueLDFSE/DnII98RYvxLIAH/B8gL8AJEuCYgzNhkCWJuaPWPkFd7XyiVYnuIoc8JmAuQMe1GiOE/CxnT/gMZgkZDnqBToXV9FFI0QoxN1cnnT1g3Clm0uyrIFYhLwYhgr3E+VLj3c8iotBDam8dAnvrDEJayuiHA7q9e0Dn/N7SeP8EpUHdB6UqXQkpkqRibWkLK9EVwhiVAPOZg89mmkOd1N0iRAqp/bz0gXnYxygvHdSCecAOUhnWwmWclXCpaTaCm+DdQ83XgillAuBApicVCa4jev2lefwlF2q6G9u/TCDeQ1NaUxKoU0f4ROu9fwxUvLhUUstZWbS3KXywQrnD9XtA5vxOuHuCjkHE3Jt+26Y5l5ndXQcbjFRCtXGCupyHyL9GQ68Txa8beAMl3u5p5joL4cDI2bcAoW/dXEjYg9Ie8yjaMdgCcMjMZYnJvBc5hie+vIaHmKUj5XGk+fxIiTidAkUHvBczVBRKebCcESxC/hRScP0P3/AuIQM5DxZ6xqqIiY9qTZv5HoMiDLSDh52Io/SXEmDYGSj2pDwn6rSCB/AfzehiUG546h1QdX8Ipa33Me76ydggkwH5k3islobWmUd/7ewq0hmOgaIqjoTP3AaSgfgNXIDOhchASUpdB9OLnUEouICXEOo0egItYKJU92RSik9bY5Msjz0ECci9IkTwJ+XXbaw0pSWdD3uUvzft2r1rD3TdQzaZxkAMipED4+oAVUMTBTCgqaA1cHbg7kL+SsTvU2vrPyC4gPBaKrnsSkhf8AsIxYevNfQ3RkfOhFKNTIINTqRhIALc2Dc2/70DK/K6Qo+hNSP7aBDrrIcYmO1cnKIUOqLhLYie4Lomlkh6V63TbFJKvLoRo5tVQRBNQ/p7Xd/SD5PCmcLW23oBkk2cgA+v2UMrSIxCtDHlutij/bEhOtwX5b4YMldbYVGpF+YsJv3D9R5BT2qYoAtIZPkU4rdwC5bu+rYFzmq6CGjc8AOlFPyJ/PtADChRohrU7cT6BZMA2KK0U54QaQEqp27CRa1HvDwncdSHhvCPErH8D1dk4HGF5vkB2atskKFT8aihFr6Jryhe+V/sOSNHwCeJP5hqmQ8T/DMSpe2LDSbeGPFAXQp4imPkbQ3UaPkJ2G/Pqohj5/BsK2kDROa3ginYPhBSdRaiZmk2ljlGQYHEqFNE3CNrjE6Bw7kPM64cgxdAWiU5YO3aA6Mc4uM41j0G07aniXVYUtISiZY8C8EdkC9zbQvTKd3Dkwxt6QXRyL/N6AlRYvQXkXLjVvJ9bo602IHYduEKn9awNNZmSWEjsAZ3tH6B6dkdCUbRfQGtsO/I9H2m+2paS6EfbtYeMkH3hzraNtusJRZGUEopRa2sBJEtejKpFwJWKUbLQ8AvXAxXXDLwP2rOLobWM3TAoF5bHDYZqaebrzG8N6WsXIjsy2W+SZPdOE/P9EF0noZYgGZwSAHnUHjN/7wAJQc2h9BfborcO8u+YUBnxbQwZsTpBYcF3IY6gUx2C2Mh8/xOEG7sKZUxbnwT/2opiFO0uVYyGBP0ToAiHr6D9Z1vfXgZFrJwPRUMMQOnUzig06kN05H+QV7stpGC0gvbfkVDab1PI213Kxs8GUGrBu1C9IR+7QlEzJyM/L2xrqAZbBqK/H0JRN1+b8TwU0XoY1OWvNiNWHbhUQDguNoWiUo6HzvV/IEV+EBRp0g4yLDwScc4mkILbGGpP7qckLoLoc6lEidVmp1uha23V9qL8hURVCtcfCtHOXlCn3nfL/0yVUZ2GQTEcKxuyEychAMngtGFiAFSrYh6kFD4AGYTGm893hAjKnyBPx+qAuaraNaQPVDNnZcBcFoUkiIU2pgFJ8C8kSrFodyHRETqzR0NCqI1cag2lHp4PFXuuB4WOH4VkbKoMGSjaoR5kRJ4HRST8CBlk3oXSvRZA9PIMlJbQX1GB0c0h488tkND8BRQBeiNEvx7OY54ekDJ9HGRs6gxFj6wBcAVU1+hbqOD1jVCnuITKkQoIx0d/SPbZCdr3gGQEQmv8NeQM+7YG5i5El+OaRm13uhUr0qi2RcAVGlUtXG/r0z6HsLTEQjYMSk6chCCkouEbJn4HMZYLIUXxQCgS5xbIo/ISXCHAvwbMMxaKklqM8oRvDZwQ+ytISQ0tIGwJ4ocQ4b0e5QniiVBqz0sIZ5oVGdMIMen/mvmnQpFO3yPcmOYL/jaf3wr+z8AJ/o9DXtFVSIJ/KEqxaHch8S10tp+CBJ1DIIP19pDB4AnIwD0IEqKTsalyEPJmPwyt5WFQpBPMv1dCStQ0SNEqJWNTRQVG60BG3IFQvZDr4aK6jkN+xqYuAG6DjEn2/78Hpcj66As5Ia7LY44NCamAcDxYg8EgKLJvNVQH53dQes0EyPm3EuLjFaXFxMBfoTpcT8KlJO6F0kpJLGQR7ULC7pFOkCwLVFxrqxlcra2YfKA2F+WvaVSncL3Ve0JQyIZBuU6c6ZAT5x1kO3G2Q9ofCZUgRTht2HgDUggXQsTxOshocxfkZRuP/HNvq2p5t/WUQiNHCu3VLnQL3mLk8yckrAvNIRqyGjLAPg6drc+h6KZdoELhfjprQuXYClpH26XtLoheAqLT25r3HijGxeWJtdXTsxFxjSEe0QpyDvwR+fGE08z/OxkSxNtDhvo/QPWg6kDKk3UUPJjvTW0AKHRaz4aAwVDJgnuhyJxpAHpD9SPtmd4ecmAllMeGEm1XzEij2hABV2hYXnU5JOucjJrtFl3I2mVdIJnjCqi2b2XoC+lWU5DoV0IFSBFOGw56QNbnlVC0TWPz7ySIKR8JeUvOgYw1hyJ/Y1N1LO8xuoYU2qtd6Ba8tnOIL/jb7iE+UueQhEKiDKo7sgcUxfcsZFj4H7TfRwDoABmckrFp3egOeT3HQoaQqyCD8llQdNB9UFTqGpROaqffJc6vp1cf2hM/QHLIf83wlcPq3J81aL4D7cWtoa5pbaFunY9CCtqtALaBHAWlXP+qEOgL1V97GVVL60nGpsph1208pJCtgvbrg+b9AyB54V4kZa0ybEjRdsWMNKoNEXCFhG/8OQ8y/rwI8Zzz4Iw/sbpF+7XL/E6hubXL/E6hIbLCIZBB/BpUzYmT6FdChUgGpw0DZXAF6j6HGMfNkIFmKUQcL4GMTsfACZf5oNDEFygsQSy0MQ1Ign/C+gO/ZpltKPBPAMtzvjcZSqU7taBXV7roAxmb7oLqGH0B1R65BCouPBWimx+Y75eCsQkQbfoEzthUUT29fHmNRTeIrt8OGfi/hKJF3oRSxRdBRqi+5lpOhGh4qRjtCo1ip/XUJvjdqb6GShh8BxlOVkNOvYchvp4cRZVjQ3O6fQM5KqdBMnRupFFNy3jfQgavX9fwPKWOQht/ugI4BTJa29pldc3v2sLjtnbZvpAclu98yYmTEBVl6/5KQi3AGqg+xluQkeQZSLFZaj4fAxmkzjGv81UAdoc8I39GNvEdCxGqJ6HoB5/4hqCB+fcdSCnbGmLOZ0Phn/OhNJR2cAQxJIViDKS81IeMZ60gY9oP5vUwKI0oljHNrk8nKIUOqFjw7wQn+KeQ54Sawu6QYakb3NnL9bJ2h5T/46D9mIyfVcNqKI1sLFSTBFDdkcOhNMVRqDh1d31FaygS1K+n9yhkEG8J1Vk5Ear3FYJekHF/NSSAPwh1WBoNYG8z56dQG+itoBRQy9+Ssali2HVZARmN+8LVJrQy43BIKb4aydhUGaxyuTvk3DsDop3HQY63FVBk9B8h48JbRbnK0kCu0w3Ilh/bQgWLl0DKeG3gOzbS6ESo8+snUKRRkvHWD/jGn9vNe3XN8I0/kyE96EKE85zc2mXzIGf7bZCu0xqSuxZATqp8a5d1g2jWKGQ7cTpBwQp9obqdm8M5cR5CuE6XUIuRIpw2DJRBRONGKIWuDbLbcH4BpWxsHDBHIS3vQOG92oX2ZADZgv8J0L3k5vMPh8LLr0Yq1pdQc1hbAwDA7fdPIKPyPkgh+GuDXa/uUJ23VyEDyQqogPZBEL36E7JTm0shKqdQBUabQ0roFQBugBN2v4fbez9BaSFnmev5T8B8GxpSAeEwENp7Z0KROTdA9ZouhBTCKyFlcRBSynFl2NCj7VKk0fqLQhauL2TDoF5QRPJSSJf7t/m9ayC+auvu+k6cr8z/Xd9lk4QiIhmcai9yU18y5vVNkOFnd8jAdJf5/D8IE8YLSXwLTRALbUzLRRL8E4qJqtQs87szXookeKwLhLzVSyDj9RdQlOQ+UAer+wDsifLRpuv7uhaynt63kIHzbvO6DKL7lhZ2NNdzJrI9sOv7Gq4vKHZaTymiLrQPbZ3MUVDKf3to770DOcoIGWF7mu8mVIzkdEtY31DobtGFrF2WnDgJNYZkcKqd2B3Z9Yq+Q7ZCeD1kqBgFEZKVAXMVmvgWgyAWuwVvEvwTioXq1Cyzwn5S6CtGY4hmAIooPQaijeMhg/YPkFC5H2Rw2g7la5Ss7yhkPb0mAHaAOn89CNH9MmgfNoOcDR+a+T5CMjblg1RAuOroBRk2N4KMx09CimIjSBYZAcki70B78g3ElxVqK5LTLWF9QKEL1xe6dlly4iTUGJLBqfZhbakva+CMQ7+CFJzfBsxVjK4hhSSIhTamrQ1J8E8oNIrRAKC2ogOAx6DGDI9CKcDzIYPJdKjT3xJIuDwGOtulhGIUGP0SWq/xEH1cDeeAGGrenwulXANJKM4XKa1n3egBOZ6ugmSdm6AU2VcANITKGAyCDKCfQul0nxXjQksUyemWUGwUo3B9oRsGJSdOQo0hGZxqF6qS+vIj5GX+GmLg+RKLYnUNKRRBXB9b8CbBP6FQKEbNstqMraA058OgGlfPmPeXQKkgtuD1ODgDSamgmF3iVkDGvJkA7oAKmQ6Cou4WofTWMqH00AIyyr8NRV0DMr7uAp2BzyAjyYlQUd9jUHqRi+sDktMtoZgopPGnWLXLvkRy4iTUEJLBqfagOqkvuYQrHxTa8m7xJWqeIG5oLXgTEnwUu2ZZbcRvANwLRffMh+j0U5Bx/DSo8+VhUNv0D4pziXmh2AVG/wU5BfaH6ka9BqAzVO8lhfsnFALfQdGLrSFH121QKulQSBG8GDoXwyDj6IdI+zJfJKdbQqFRDONPMWuXJSdOQo0gQyaeVwvgp760h7xpfaEop1vhUl96Ajg+cC5LfC+FiO9JKC88WeK7A0SsYncNaQMpba3gCOJAKGJrEcJTNRZADOViVM2YltrUJtQmdAJwEUQzylB5zbKFkLEp7f+K0Qlav88gWrkdJCQ2hCJ+ToeiTveH1vcmhNOuQqI5VP/vZrh6erZWoC8Aj4R40nGo2ftrZ+ZtAOAvSEp9Qs3D7vUmkMF4S6gZy7ZQ2mhvSO7aBYrG+ag4l5mQkBCI4ZDx51iUN/7MhYw/7yKu8acJREcaQxHEfu2yRZDDrybSSdtBcslsOCfOWRC/T3w1IS8kg1Ppw099uQsylGRQPvXlBKi+0QzEIRbFIL4+aoIgrg/GtISEYsGvWXYoFBlpa5b9Hq5m2TlQdGE91FzNslJHc6jeVQuovttNUGTDLyCj/1CowPYFUA24eoiXZlYo1IO6zB0J0UsbzWTREa6e3mlQMfFSur+EhMrgG1Xtnm4KnemDACyH6jkBOhcNIbqakJBQmiiW8ac9VLtsBMrXLqtpZ19y4iREQzI4lTa6QilyM+BSXzJm/AgRBpv6chTidlArFvHNRU0QxGIb0xISCo3cmmVtIONqS2TXLFsBRf49XegLLDHUhyIgB0CKZnfIkL0AoosHQTR5bygE/98V/8x6jZYAnoMilx407/n19PpD6cZ1kAqMJtQedIH29qMAPjfv2b3dCFION4dkrZuQ5ISEhNqCYhl/GkFZK7Z22VNItcsSSgzJ4FTaKHbqSzEt7zWJ9cWYlpBQCAyBIlX8mmUVYQIUnbMP0v5fG6zRpTHUqa0RpJC+CtWYawXR6n9DKTilvJbWqHYJVE/PRjntifL19BISSh09oA65F0Pp/F/CGZvs3m8C1T/pAOAMAH8vxoUmJCTUCJLxJyEhDySDU2lifUp9qa3Et7Ya0xIScpFqlsVBZWk20yB68msA90Hd6v6O0kuhqwg1XU8vIWF9QWso/fVCqFC+RQOocDjg6GcT8/0/FfICExISEhIS1kckg1PpIaW+FA611ZiWkACkmmUxsbY0m6ZQQeGtoMjTO1DaRqZcpAKjCRsCekH7ei/zegKAnaE6bbZBC1C+aH5CQkJCQsIGjWRwKi2k1JeEhITYSDXLwlDdNJszUTuLracCowm1Ea0hg3wGinD6EKrR9LUZzwOYBxmVXyrSNSYkJCQkJKy3qFvsC0ioFvoCuAwyNlUl9SUZmxISEtaFF6F0rwPMa79m2VQoDSwZmypGayiy4Wxkp9nUh9JsfoJLf77KfL82GpsA4B85r5OxKaHU0QOq43gcZGyaDmAW1AH4CqhkwbcAtkOikQkJCQkJCRUiGZxKA9ao1AnytAGu/bQV6m3qy49Q16OU+pKQkFAVfAPV3JkG4AKUr1mWDNeVoy2AT+CMTRWl2fwIRY19g9QaPSGhVNAFwG0ALgfwsHnvPahmmY++0Jm/rmBXlpCQkJCQUEJIKXWlhZT6kpCQUFNINcuqjpRmk5BQu3EadL5PhmSt9lDDlj8AeAtKlz0QkseOAfBgcS4zISEhISFh/UaKcCotpNSXhISEmsK3EH35dbEvZD1HSrNJSKi9sF3n3gEwCsDWAI6AohmHQZGL70LRi9sAWIzUjTEhISEhIaFSpAin0kN7KPVlBMqnvqR25QkJCQk1hy4A7oIMS9es5Xt9AdwIYAqA1wtwXQkJCeHoBkUr3Q7VYRsGYDyANwFcDWA1ZITqC+BIAPUA/IBUID8hISEhIaFSJINTaSKlviQkJCQUHinNJiGhdqIXVIttKRS99G8ADQFsCclXtuPkbgBmQ92Cv0IyNCUkJCQkJKwVyeCUkJCQkJCwdtg0mwOgCIcLUXmazTyonl5Ks0lIKA00B7ASwM0AboCLWCpDdlrsSKixwnFI5zshISEhIaFKKFv3VxISEhISEjZYdIM6VY2CCoJ/CeABqGvozVC06VNQ0fBPAJwIKaOZIlxrQkJC9fEtdHbvNq/9hiwA0BEyNp2JdL4TEhISEhKqhVQ0PCEhISEhoWL4aTavQWk2q6D6TX6azb8AbAVFSnxl/m8KH05IKA00AbADgMFQGuxPcNFNzaCz/SGULvsRUs2mhISEhISEKiNFOCUkJCQkJJRHcwCXQQXCLwPwuXn/e7iaeT9BkQ9nme/9B0kRTUgoNXwJ4FKoQHgf856NYBoK4BAAn0HGJiCd8YSEhISEhCojGZwSEhISEhLKI6XZJCRsOFgBNWGZCWA4dM4HATgbwB1QOm1CQkJCQkJCNZGKhickJCQkJJRHSwDPQQWCbbc5P82mP4CPobS6lGaTkFD6aAdgf6gL3WsAOkPRiyuRzndCQkJCQkJeSAanhISEhISEijEdwAAAlwBYDVezaU8o/WYuUuRDQkJtQzvIsNwAwF+QjE0JCQkJCQl5I6XUJSQkJCQkVIyUZpOQsOHhH1AjgL+Y18nYlJCQkJCQkCdShFNCQkJCQkLlSGk2CQkJCQkJCQkJCXkgGZwSEhISEhLWjZRmk5CQkJCQkJCQkFANJINTQkJCQkJCQkJCQkJCQkJCQkJUpBpOCQkJCQkJCQkJCQkJCQkJCQlRkQxOCQkJCQkJCQkJCQkJCQkJCQlRkQxOCQkJCQkJCQkJCQkJCQkJCQlRkQxOCQkJCQkJCQkJCQkJCQkJCQlRkQxOCQkJCQkJCQkJCQkJCQkJCQlRkQxOCQkJCQkJCQk1gEwms0kmk7ktk8l8lMlkXs1kMg9lMpluefzO1Ewms1lNXGNCQkJCQkJCQk0hGZwSEhISEhISEiIjk8lkAKwA8DTJziT7AjgeQLs8fm4qgAoNTplMpk7eF5mQkJCQkJCQUINIBqeEhISEhISEhPgYBuAHklfZN0i+QfK5TCazOJPJvJzJZN7MZDKnAkAmk+mYyWR+l8lkrs1kMu9kMpnHMplMo0wmMwFAPwDLM5nMavPeHzOZzNmZTOY1APtlMpmDMpnMW5lM5u1MJnN2cW43ISEhISEhISEbyeCUkJCQkJCQkBAf2wB4NffNTCazK4CuAHYE0AdA30wms4v5uCuAy0luDeBLAONJ3gXgFQAHk+xD8lvz3X+T3AHAswDOBjDc/F7/TCYzrobuKSEhISEhISGhykgGp4SEhISEhISEwmFXM14H8BqAHpChCQD+QHK1+ftVAB3X8ju3m3/7Q2l7/yL5I4DlAHap/L8lJCQkJCQkJBQGdYt9AQkJCQkJCQkJtRDvAJhQwfsZAGeSvDrrzUymI4DvvLd+AtBoLb//TegFJiQkJCQkJCTUJFKEU0JCQkJCQkJCfDwJoEEmk5lu38hkMtsB+A+AwzKZTFPzXvtMJtN2Hb/1FYBmlXz2EoAhmUymtSkgfhCAZ4KvPiEhISEhISEhECnCKSEhISEhISEhMkgyk8nsA+CiTCZzLID/AfgjgPlQfabfqpEdvgYwCYpoqgxLAVyVyWS+BfCznHn+lslkjgPwFBQ99SDJe2PeS0JCQkJCQkJCPsiQLPY1JCQkJCQkJCQkJCQkJCQkJCTUIqSUuoSEhISEhISEhISEhISEhISEqEgGp4SEhISEhISEhISEhISEhISEqEgGp4SEhISEhISEhISEhISEhISEqEgGp4SEhISEhISEhISEhISEhISEqEgGp4SEhISEhISEhISEhISEhISEqEgGp4SEhISEhISEhISEhISEhISEqEgGp4SEhISEhISEhISEhISEhISEqEgGp4SEhISEhISEhISEhISEhISEqPh/gCdNR4T6qIUAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1440x1080 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "dark"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,15))\n",
    "\n",
    "sns.barplot(x=\"Centro\",\n",
    "            y=\"N_personas_atendidas\",\n",
    "            palette=paleta_centro,\n",
    "            data=Grafico_2_1,\n",
    "            alpha=0.7,\n",
    "           ci=None)\n",
    "\n",
    "sns.lineplot(x='Centro', y='N_citas_proporcionadas', data=Grafico_2_1, color='k', alpha=0.9,linewidth=3,\n",
    "            label=\"N citas proporcionadas\",markers=True)\n",
    "\n",
    "plt.title(\"Relación entre citas solicitadas y personas atendidas\",fontsize=20,color='w');\n",
    "\n",
    "plt.xticks(rotation=45, fontsize=10,ha=\"right\",color='w')\n",
    "\n",
    "plt.legend(loc=1,frameon=False,fontsize=15)\n",
    "\n",
    "plt.yticks(fontsize=15,color='w');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "No se observa una relación directa entre ambas variables, ya que se ve que hay muchas diferencias de comportamiento entre las citas atendidas y las citas proporcionadas por Trabajador Social en cada centro."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### GRAFICA 5"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1.- Primera opción de Gráfica"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1440x1080 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "dark"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,15))\n",
    "\n",
    "sns.barplot(x=\"Centro\",\n",
    "            y=\"Citas_atendidas_por_trabajador\",\n",
    "            palette=paleta_centro,\n",
    "            data=Grafico_2_2,\n",
    "           ci=None)\n",
    "\n",
    "p_25 = np.percentile(Grafico_2_2['Citas_atendidas_por_trabajador'], 25) #Q1\n",
    "\n",
    "p_75 = np.percentile(Grafico_2_2['Citas_atendidas_por_trabajador'], 75) #Q3\n",
    "\n",
    "plt.axhline(y=p_25, xmin=0, xmax=1,color='k')\n",
    "\n",
    "plt.axhline(y=p_75, xmin=0, xmax=1,color='r')\n",
    "\n",
    "plt.title(\"Relación entre personas atendidas al día por Trabajadores en centro\",fontsize=20,color='w')\n",
    "\n",
    "plt.xticks(rotation=45, fontsize=10,ha=\"right\",color='w')\n",
    "\n",
    "plt.ylim (0,10)\n",
    "\n",
    "plt.plot(p_25, label = \"Q1\",color='k')\n",
    "\n",
    "plt.plot(p_75, label = \"Q3\",color='r')\n",
    "\n",
    "plt.legend(loc=1,frameon=False,fontsize=15)\n",
    "\n",
    "plt.yticks(fontsize=15,color='w');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Se observa que hay unos pocos centros sociales con muchas carga de trabajo (por encima del Cuartil 3) y bastantes centros sociales con menor carga de trabajo (por debajo del Cuartil 1)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2.- Segunda opción de Gráfica"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1440x1080 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "dark"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,15))\n",
    "\n",
    "plt.stem(Grafico_2_2[\"Centro\"],Grafico_2_2['Citas_atendidas_por_trabajador'],linefmt='green',markerfmt='D')\n",
    "\n",
    "p_25 = np.percentile(Grafico_2_2['Citas_atendidas_por_trabajador'], 25) #Q1\n",
    "\n",
    "p_75 = np.percentile(Grafico_2_2['Citas_atendidas_por_trabajador'], 75) #Q3\n",
    "\n",
    "plt.axhline(y=p_25, xmin=0, xmax=1,color='k')\n",
    "\n",
    "plt.axhline(y=p_75, xmin=0, xmax=1,color='r')\n",
    "\n",
    "plt.title(\"Relación entre citas atendidas al día y Trabajadores en centro\",color='w',fontsize=20);\n",
    "\n",
    "plt.xticks(rotation=45, fontsize=10,ha=\"right\",color='w')\n",
    "\n",
    "plt.plot(p_25, label = \"Q1\",color='k')\n",
    "\n",
    "plt.plot(p_75, label = \"Q3\",color='r')\n",
    "\n",
    "plt.legend(loc=1,frameon=False,fontsize=15)\n",
    "\n",
    "plt.yticks(fontsize=15,color='w');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Se observa que hay unos pocos centros sociales con muchas carga de trabajo (por encima del Cuartil 3) y bastantes centros sociales con menor carga de trabajo (por debajo del Cuartil 1)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### GRAFICA 6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1440x1080 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "dark"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,15))\n",
    "\n",
    "(stemlines) = plt.stem(Grafico_2_2[\"Citas_proporcionadas_por_trabajador\"])\n",
    "\n",
    "p_25 = np.percentile(Grafico_2_2['Citas_proporcionadas_por_trabajador'], 25) #Q1\n",
    "\n",
    "p_75 = np.percentile(Grafico_2_2['Citas_proporcionadas_por_trabajador'], 75) #Q3\n",
    "\n",
    "plt.axhline(y=p_25, xmin=0, xmax=1,color='k')\n",
    "\n",
    "plt.axhline(y=p_75, xmin=0, xmax=1,color='r')\n",
    "\n",
    "plt.ylim (0,6)\n",
    "\n",
    "plt.plot(p_25, label = \"Q1\",color='k')\n",
    "\n",
    "plt.plot(p_75, label = \"Q3\",color='r')\n",
    "\n",
    "plt.setp(stemlines, linestyle=\"--\", color=\"grey\", linewidth=0.5)\n",
    "\n",
    "plt.title(\"Relación entre citas solicitadas al día por Trabajadores en centro\",fontsize=20,color='w')\n",
    "\n",
    "plt.xticks(rotation=45, fontsize=10,ha=\"right\",color='w')\n",
    "\n",
    "plt.legend(loc=1,frameon=False,fontsize=15)\n",
    "\n",
    "plt.yticks(fontsize=15,color='w');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Se observa que hay tantos centros de Servicios Sociales con pocas citas solicitadas como centros de Servicios Sociales con muchas citas solicitadas."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### GRAFICA 7"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "                [40.42501677989149, -3.628439973415133],\n",
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       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "        var popup_9fa8dad645a254d080bb080878587879 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_c9a0d0c8918521b9f8ebc3756aebe26c = $(`&lt;div id=&quot;html_c9a0d0c8918521b9f8ebc3756aebe26c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Ciudad Lineal    Centro:CSS Luis Vives     Nº Trabajadores:  20      Usuarios Atendidos al dia:5.06       Citas Solicitadas al dia: 3.55&lt;/div&gt;`)[0];\n",
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       "\n",
       "        \n",
       "            var html_3561161b8e4b733385d851626a08ee34 = $(`&lt;div id=&quot;html_3561161b8e4b733385d851626a08ee34&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Carabanchel    Centro:CSS Zaida     Nº Trabajadores:  18      Usuarios Atendidos al dia:5.09       Citas Solicitadas al dia: 4.04&lt;/div&gt;`)[0];\n",
       "            popup_d36576dd94dcdc66655ed3c33cb038b4.setContent(html_3561161b8e4b733385d851626a08ee34);\n",
       "        \n",
       "\n",
       "        marker_04eadc58c37e6a67bd48e5165f23258d.bindPopup(popup_d36576dd94dcdc66655ed3c33cb038b4)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_04eadc58c37e6a67bd48e5165f23258d.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     click\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_d0085e11dd2d387c1491b631b3ac6a0c = L.marker(\n",
       "                [40.3860198333504, -3.7152178733863215],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "        var popup_af068bd689b5ce13936f3da8a06167ed = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_98d6a5e1fb637094691e229864c5202c = $(`&lt;div id=&quot;html_98d6a5e1fb637094691e229864c5202c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Usera    Centro:CSS San Filiberto     Nº Trabajadores:  18      Usuarios Atendidos al dia:4.77       Citas Solicitadas al dia: 3.34&lt;/div&gt;`)[0];\n",
       "            popup_af068bd689b5ce13936f3da8a06167ed.setContent(html_98d6a5e1fb637094691e229864c5202c);\n",
       "        \n",
       "\n",
       "        marker_d0085e11dd2d387c1491b631b3ac6a0c.bindPopup(popup_af068bd689b5ce13936f3da8a06167ed)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_d0085e11dd2d387c1491b631b3ac6a0c.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     click\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_96ecf94cfeb7971657a78002e5aa7b1f = L.marker(\n",
       "                [40.34859465263885, -3.711032600372227],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "        var popup_c29f62fd4156ffd50ae99b1efca18296 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_34cfc3ece1cdd3d688db7af224b50e22 = $(`&lt;div id=&quot;html_34cfc3ece1cdd3d688db7af224b50e22&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Villaverde    Centro:CSS Huerta de Villaverde     Nº Trabajadores:  15      Usuarios Atendidos al dia:5.48       Citas Solicitadas al dia: 3.05&lt;/div&gt;`)[0];\n",
       "            popup_c29f62fd4156ffd50ae99b1efca18296.setContent(html_34cfc3ece1cdd3d688db7af224b50e22);\n",
       "        \n",
       "\n",
       "        marker_96ecf94cfeb7971657a78002e5aa7b1f.bindPopup(popup_c29f62fd4156ffd50ae99b1efca18296)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_96ecf94cfeb7971657a78002e5aa7b1f.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     click\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_f5ca533bf476bad173f1b3c3a7185d39 = L.marker(\n",
       "                [40.38062455268652, -3.7656276022224016],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "        var popup_ac6b63968fe03ab2448998585ea9025b = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_a6cb2da4b7274954b532676e04b9ea42 = $(`&lt;div id=&quot;html_a6cb2da4b7274954b532676e04b9ea42&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Latina    Centro:CSS Fuerte de Navidad     Nº Trabajadores:  13      Usuarios Atendidos al dia:5.4       Citas Solicitadas al dia: 5.7&lt;/div&gt;`)[0];\n",
       "            popup_ac6b63968fe03ab2448998585ea9025b.setContent(html_a6cb2da4b7274954b532676e04b9ea42);\n",
       "        \n",
       "\n",
       "        marker_f5ca533bf476bad173f1b3c3a7185d39.bindPopup(popup_ac6b63968fe03ab2448998585ea9025b)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_f5ca533bf476bad173f1b3c3a7185d39.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     click\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_596f54d8ee49815ecdc65fdfe62e8de8 = L.marker(\n",
       "                [40.34824831189097, -3.6865322709757535],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "        var popup_18753c671f9a7b49fd86d3dab9e2913d = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_036ef5b41a41393488840411e62f2596 = $(`&lt;div id=&quot;html_036ef5b41a41393488840411e62f2596&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Villaverde    Centro:CSS Eduardo Minguito     Nº Trabajadores:  10      Usuarios Atendidos al dia:6.93       Citas Solicitadas al dia: 5.26&lt;/div&gt;`)[0];\n",
       "            popup_18753c671f9a7b49fd86d3dab9e2913d.setContent(html_036ef5b41a41393488840411e62f2596);\n",
       "        \n",
       "\n",
       "        marker_596f54d8ee49815ecdc65fdfe62e8de8.bindPopup(popup_18753c671f9a7b49fd86d3dab9e2913d)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_596f54d8ee49815ecdc65fdfe62e8de8.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     click\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_22bc660c60a56897f11795855671cf19 = L.marker(\n",
       "                [40.39982798161854, -3.6362979310576615],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "        var popup_a12adfb5bffcc56e2e9ff4e5c9db40a0 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_c5bae23d62d47211edc15e64cb0b22c5 = $(`&lt;div id=&quot;html_c5bae23d62d47211edc15e64cb0b22c5&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Moratalaz    Centro:CSS Fuente Carrantona     Nº Trabajadores:  12      Usuarios Atendidos al dia:5.57       Citas Solicitadas al dia: 2.97&lt;/div&gt;`)[0];\n",
       "            popup_a12adfb5bffcc56e2e9ff4e5c9db40a0.setContent(html_c5bae23d62d47211edc15e64cb0b22c5);\n",
       "        \n",
       "\n",
       "        marker_22bc660c60a56897f11795855671cf19.bindPopup(popup_a12adfb5bffcc56e2e9ff4e5c9db40a0)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_22bc660c60a56897f11795855671cf19.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     click\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_06c0489d61fb6756cea463755e5b06b2 = L.marker(\n",
       "                [40.37744203541272, -3.6231382887301655],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "        var popup_7c7855cdc32332a41a965682c753e4ed = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_33b9aee26c26866685d0226f9aa4e33c = $(`&lt;div id=&quot;html_33b9aee26c26866685d0226f9aa4e33c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Villa de Vallecas    Centro:CSS Villa de Vallecas     Nº Trabajadores:  8      Usuarios Atendidos al dia:8.28       Citas Solicitadas al dia: 5.6&lt;/div&gt;`)[0];\n",
       "            popup_7c7855cdc32332a41a965682c753e4ed.setContent(html_33b9aee26c26866685d0226f9aa4e33c);\n",
       "        \n",
       "\n",
       "        marker_06c0489d61fb6756cea463755e5b06b2.bindPopup(popup_7c7855cdc32332a41a965682c753e4ed)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_06c0489d61fb6756cea463755e5b06b2.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     click\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_222ba79ca788763ea94eb08f7d7be6ab = L.marker(\n",
       "                [40.38887701245256, -3.6637561733862474],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "        var popup_ec9d3c50b3284003bcdc5b6782ff482d = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_30b18191e608dcdec85eec57f79f9001 = $(`&lt;div id=&quot;html_30b18191e608dcdec85eec57f79f9001&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Puente de Vallecas    Centro:CSS San Diego     Nº Trabajadores:  12      Usuarios Atendidos al dia:5.48       Citas Solicitadas al dia: 4.49&lt;/div&gt;`)[0];\n",
       "            popup_ec9d3c50b3284003bcdc5b6782ff482d.setContent(html_30b18191e608dcdec85eec57f79f9001);\n",
       "        \n",
       "\n",
       "        marker_222ba79ca788763ea94eb08f7d7be6ab.bindPopup(popup_ec9d3c50b3284003bcdc5b6782ff482d)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_222ba79ca788763ea94eb08f7d7be6ab.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     click\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_ad44f838896d0f4b86d1692e72f7a5ac = L.marker(\n",
       "                [40.39740990182846, -3.741545986878298],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "        var popup_5d05dd01d8dd5ea298f79972e29c3c08 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_75c826b8e9a1dd4dc732b12e45745eb1 = $(`&lt;div id=&quot;html_75c826b8e9a1dd4dc732b12e45745eb1&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Latina    Centro:CSS Gallur     Nº Trabajadores:  12      Usuarios Atendidos al dia:5.44       Citas Solicitadas al dia: 5.68&lt;/div&gt;`)[0];\n",
       "            popup_5d05dd01d8dd5ea298f79972e29c3c08.setContent(html_75c826b8e9a1dd4dc732b12e45745eb1);\n",
       "        \n",
       "\n",
       "        marker_ad44f838896d0f4b86d1692e72f7a5ac.bindPopup(popup_5d05dd01d8dd5ea298f79972e29c3c08)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_ad44f838896d0f4b86d1692e72f7a5ac.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     click\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_d0b4206c79e0bbc7e5bb94bc439d0a4e = L.marker(\n",
       "                [40.39473458505697, -3.697806502221937],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "        var popup_756910abadc14db66644b6cc437e3bd4 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_c0eebcabdbf07d86165264e00a0920d6 = $(`&lt;div id=&quot;html_c0eebcabdbf07d86165264e00a0920d6&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Arganzuela    Centro:CSS José Villarreal     Nº Trabajadores:  13      Usuarios Atendidos al dia:4.83       Citas Solicitadas al dia: 5.64&lt;/div&gt;`)[0];\n",
       "            popup_756910abadc14db66644b6cc437e3bd4.setContent(html_c0eebcabdbf07d86165264e00a0920d6);\n",
       "        \n",
       "\n",
       "        marker_d0b4206c79e0bbc7e5bb94bc439d0a4e.bindPopup(popup_756910abadc14db66644b6cc437e3bd4)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_d0b4206c79e0bbc7e5bb94bc439d0a4e.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     click\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_cbaa7bfa17f02aada30b9da17b390f9d = L.marker(\n",
       "                [40.459428706835055, -3.7016494598915943],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "        var popup_a01aae8a10807172d30d6ed6ba3c67e5 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_7659f701878eff2a6e495a1b652229f0 = $(`&lt;div id=&quot;html_7659f701878eff2a6e495a1b652229f0&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Tetuan    Centro:CSS María Zayas     Nº Trabajadores:  11      Usuarios Atendidos al dia:5.56       Citas Solicitadas al dia: 4.5&lt;/div&gt;`)[0];\n",
       "            popup_a01aae8a10807172d30d6ed6ba3c67e5.setContent(html_7659f701878eff2a6e495a1b652229f0);\n",
       "        \n",
       "\n",
       "        marker_cbaa7bfa17f02aada30b9da17b390f9d.bindPopup(popup_a01aae8a10807172d30d6ed6ba3c67e5)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_cbaa7bfa17f02aada30b9da17b390f9d.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     click\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_a79d39d91038247c09b3eac1f0c699e4 = L.marker(\n",
       "                [40.39136159446368, -3.750177802222056],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "        var popup_98408dc89547f5284eba2c4a813c90ee = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_58e2357389dfb6e19c55896e67772b6b = $(`&lt;div id=&quot;html_58e2357389dfb6e19c55896e67772b6b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Latina    Centro:CSS Los Yébenes     Nº Trabajadores:  11      Usuarios Atendidos al dia:5.25       Citas Solicitadas al dia: 4.81&lt;/div&gt;`)[0];\n",
       "            popup_98408dc89547f5284eba2c4a813c90ee.setContent(html_58e2357389dfb6e19c55896e67772b6b);\n",
       "        \n",
       "\n",
       "        marker_a79d39d91038247c09b3eac1f0c699e4.bindPopup(popup_98408dc89547f5284eba2c4a813c90ee)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_a79d39d91038247c09b3eac1f0c699e4.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     click\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_c12211215892047f84436c789daca52d = L.marker(\n",
       "                [40.47269441943195, -3.7165554022193983],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "        var popup_99aad1fa9908655fcdc41b0f55dcff25 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_e4dfb128cdb29aac0a633fc65162e247 = $(`&lt;div id=&quot;html_e4dfb128cdb29aac0a633fc65162e247&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Fuencarral-El pardo    Centro:CSS San Vicente de Paúl     Nº Trabajadores:  8      Usuarios Atendidos al dia:6.84       Citas Solicitadas al dia: 4.51&lt;/div&gt;`)[0];\n",
       "            popup_99aad1fa9908655fcdc41b0f55dcff25.setContent(html_e4dfb128cdb29aac0a633fc65162e247);\n",
       "        \n",
       "\n",
       "        marker_c12211215892047f84436c789daca52d.bindPopup(popup_99aad1fa9908655fcdc41b0f55dcff25)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_c12211215892047f84436c789daca52d.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     click\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_48d227f9c2aa36af951b54a461ed47d8 = L.marker(\n",
       "                [40.44636947534598, -3.6123520868766974],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "        var popup_b6108c879a751bf82c3002c691cb8f26 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_58c92d9030e84517d8b66af678fa5fea = $(`&lt;div id=&quot;html_58c92d9030e84517d8b66af678fa5fea&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;San Blas-Canillejas    Centro:CSS Torre Arias     Nº Trabajadores:  12      Usuarios Atendidos al dia:4.46       Citas Solicitadas al dia: 2.94&lt;/div&gt;`)[0];\n",
       "            popup_b6108c879a751bf82c3002c691cb8f26.setContent(html_58c92d9030e84517d8b66af678fa5fea);\n",
       "        \n",
       "\n",
       "        marker_48d227f9c2aa36af951b54a461ed47d8.bindPopup(popup_b6108c879a751bf82c3002c691cb8f26)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_48d227f9c2aa36af951b54a461ed47d8.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     click\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_633e1a280d56ab4c6272302db8a9b268 = L.marker(\n",
       "                [40.4336954397877, -3.669135159892447],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "        var popup_2915800c7ab7ae09c76720ec5fba080f = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_b3639c7ea1e3f06d5c7e3d4ed6b4922a = $(`&lt;div id=&quot;html_b3639c7ea1e3f06d5c7e3d4ed6b4922a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Salamanca    Centro:CSS Guindalera     Nº Trabajadores:  13      Usuarios Atendidos al dia:4.05       Citas Solicitadas al dia: 3.69&lt;/div&gt;`)[0];\n",
       "            popup_2915800c7ab7ae09c76720ec5fba080f.setContent(html_b3639c7ea1e3f06d5c7e3d4ed6b4922a);\n",
       "        \n",
       "\n",
       "        marker_633e1a280d56ab4c6272302db8a9b268.bindPopup(popup_2915800c7ab7ae09c76720ec5fba080f)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_633e1a280d56ab4c6272302db8a9b268.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     click\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_e42d53f482e4a458d96db33829e0e9c6 = L.marker(\n",
       "                [40.43487660326667, -3.710377502220637],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "        var popup_0a759ed4c8184d6e267404d09456c1b0 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_2770d5cb4fcd576efaa45286571a2874 = $(`&lt;div id=&quot;html_2770d5cb4fcd576efaa45286571a2874&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Chamberí    Centro:CSS Marta Esquivias Tallada     Nº Trabajadores:  15      Usuarios Atendidos al dia:3.49       Citas Solicitadas al dia: 2.89&lt;/div&gt;`)[0];\n",
       "            popup_0a759ed4c8184d6e267404d09456c1b0.setContent(html_2770d5cb4fcd576efaa45286571a2874);\n",
       "        \n",
       "\n",
       "        marker_e42d53f482e4a458d96db33829e0e9c6.bindPopup(popup_0a759ed4c8184d6e267404d09456c1b0)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_e42d53f482e4a458d96db33829e0e9c6.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     click\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_49d8dbc05b127ac41351ebb778680ee7 = L.marker(\n",
       "                [40.49383211423289, -3.6971141022187135],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "        var popup_ea31a72f25c82cdaceb471116883f8be = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_51c6232046e38d6ee00108f8628cf6bb = $(`&lt;div id=&quot;html_51c6232046e38d6ee00108f8628cf6bb&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Fuencarral-El pardo    Centro:CSS Badalona     Nº Trabajadores:  10      Usuarios Atendidos al dia:5.11       Citas Solicitadas al dia: 3.64&lt;/div&gt;`)[0];\n",
       "            popup_ea31a72f25c82cdaceb471116883f8be.setContent(html_51c6232046e38d6ee00108f8628cf6bb);\n",
       "        \n",
       "\n",
       "        marker_49d8dbc05b127ac41351ebb778680ee7.bindPopup(popup_ea31a72f25c82cdaceb471116883f8be)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_49d8dbc05b127ac41351ebb778680ee7.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     click\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_684491bde65499aea25b8ad6aabdcfea = L.marker(\n",
       "                [40.4665855403963, -3.641912452486497],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "        var popup_fc0f52e264146fae52661b0f7feba591 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_05633b90b0d9150aa5d6e49aff7cea62 = $(`&lt;div id=&quot;html_05633b90b0d9150aa5d6e49aff7cea62&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Hortaleza    Centro:CSS Concepción Arenal     Nº Trabajadores:  11      Usuarios Atendidos al dia:4.62       Citas Solicitadas al dia: 3.59&lt;/div&gt;`)[0];\n",
       "            popup_fc0f52e264146fae52661b0f7feba591.setContent(html_05633b90b0d9150aa5d6e49aff7cea62);\n",
       "        \n",
       "\n",
       "        marker_684491bde65499aea25b8ad6aabdcfea.bindPopup(popup_fc0f52e264146fae52661b0f7feba591)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_684491bde65499aea25b8ad6aabdcfea.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     click\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_db5fe9e98147e41dc591677bcc2f72fe = L.marker(\n",
       "                [40.36662209241889, -3.6914632371462175],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "        var popup_d9b607603edf25abb4e19fa2e4d5fea1 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_ba786f50ce8c16479a3d5b82af117cdd = $(`&lt;div id=&quot;html_ba786f50ce8c16479a3d5b82af117cdd&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Usera    Centro:CSS Loyola de Palacio     Nº Trabajadores:  12      Usuarios Atendidos al dia:4.16       Citas Solicitadas al dia: 3.98&lt;/div&gt;`)[0];\n",
       "            popup_d9b607603edf25abb4e19fa2e4d5fea1.setContent(html_ba786f50ce8c16479a3d5b82af117cdd);\n",
       "        \n",
       "\n",
       "        marker_db5fe9e98147e41dc591677bcc2f72fe.bindPopup(popup_d9b607603edf25abb4e19fa2e4d5fea1)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_db5fe9e98147e41dc591677bcc2f72fe.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     click\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_35310210fccbe8155052ccdd39bddb48 = L.marker(\n",
       "                [40.42642658240264, -3.620318719336263],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "        var popup_0b574a457b45855b702b19ca7f61202a = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_da6fcbb4b9901bff1783fc3d33313011 = $(`&lt;div id=&quot;html_da6fcbb4b9901bff1783fc3d33313011&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;San Blas-Canillejas    Centro:CSS Pablo Casals     Nº Trabajadores:  11      Usuarios Atendidos al dia:4.49       Citas Solicitadas al dia: 2.74&lt;/div&gt;`)[0];\n",
       "            popup_0b574a457b45855b702b19ca7f61202a.setContent(html_da6fcbb4b9901bff1783fc3d33313011);\n",
       "        \n",
       "\n",
       "        marker_35310210fccbe8155052ccdd39bddb48.bindPopup(popup_0b574a457b45855b702b19ca7f61202a)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_35310210fccbe8155052ccdd39bddb48.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     click\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_eba8a79daa5304a378b7a70ddf0110b4 = L.marker(\n",
       "                [40.386323828120254, -3.71740812920687],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "        var popup_460742a50f529e6c6a2cc5f177739dfc = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_1f94b3090b8f96b989b5002b102e5408 = $(`&lt;div id=&quot;html_1f94b3090b8f96b989b5002b102e5408&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Carabanchel    Centro:CSS Plaza Elíptica     Nº Trabajadores:  9      Usuarios Atendidos al dia:5.44       Citas Solicitadas al dia: 4.34&lt;/div&gt;`)[0];\n",
       "            popup_460742a50f529e6c6a2cc5f177739dfc.setContent(html_1f94b3090b8f96b989b5002b102e5408);\n",
       "        \n",
       "\n",
       "        marker_eba8a79daa5304a378b7a70ddf0110b4.bindPopup(popup_460742a50f529e6c6a2cc5f177739dfc)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_eba8a79daa5304a378b7a70ddf0110b4.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     click\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_1913e013b0757565ab70f4a371deeab1 = L.marker(\n",
       "                [40.44520343924561, -3.6692495989875495],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "        var popup_46f9d1f5874ab676a0b6a8e5a7cfbec5 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_3f4d3ee8cef95dcc2b0f30f964d5ce04 = $(`&lt;div id=&quot;html_3f4d3ee8cef95dcc2b0f30f964d5ce04&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Chamartín    Centro:CSS Santa Hortensia     Nº Trabajadores:  10      Usuarios Atendidos al dia:4.84       Citas Solicitadas al dia: 4.7&lt;/div&gt;`)[0];\n",
       "            popup_46f9d1f5874ab676a0b6a8e5a7cfbec5.setContent(html_3f4d3ee8cef95dcc2b0f30f964d5ce04);\n",
       "        \n",
       "\n",
       "        marker_1913e013b0757565ab70f4a371deeab1.bindPopup(popup_46f9d1f5874ab676a0b6a8e5a7cfbec5)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_1913e013b0757565ab70f4a371deeab1.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     click\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_baaf4997697f4fb45ff98f0f2e2d4992 = L.marker(\n",
       "                [40.38542831215889, -3.6443648580428087],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "        var popup_efff7768e104c2768146d4d5bdf12b27 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_bb44b818862eb8caeeb0dba0ba180ea2 = $(`&lt;div id=&quot;html_bb44b818862eb8caeeb0dba0ba180ea2&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Puente de Vallecas    Centro:CSS Pablo Neruda     Nº Trabajadores:  11      Usuarios Atendidos al dia:4.33       Citas Solicitadas al dia: 3.49&lt;/div&gt;`)[0];\n",
       "            popup_efff7768e104c2768146d4d5bdf12b27.setContent(html_bb44b818862eb8caeeb0dba0ba180ea2);\n",
       "        \n",
       "\n",
       "        marker_baaf4997697f4fb45ff98f0f2e2d4992.bindPopup(popup_efff7768e104c2768146d4d5bdf12b27)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_baaf4997697f4fb45ff98f0f2e2d4992.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     click\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_0dfee2421c786a850ca9ed3f8143df9d = L.marker(\n",
       "                [40.41482705195912, -3.667699859893042],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "        var popup_1651a39314278bf0709d8c5e76b6cf5f = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_599e42acdef1449a3895ade999458824 = $(`&lt;div id=&quot;html_599e42acdef1449a3895ade999458824&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Retiro    Centro:CSS Retiro     Nº Trabajadores:  9      Usuarios Atendidos al dia:5.13       Citas Solicitadas al dia: 3.42&lt;/div&gt;`)[0];\n",
       "            popup_1651a39314278bf0709d8c5e76b6cf5f.setContent(html_599e42acdef1449a3895ade999458824);\n",
       "        \n",
       "\n",
       "        marker_0dfee2421c786a850ca9ed3f8143df9d.bindPopup(popup_1651a39314278bf0709d8c5e76b6cf5f)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_0dfee2421c786a850ca9ed3f8143df9d.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     click\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_493048bc4aa5e5931547576fc8f347d7 = L.marker(\n",
       "                [40.40130810366574, -3.653755404072945],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "        var popup_fe331a4837398c3c867e2d97c20e2e0a = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_e3848a729d7017d7ab43805c9bd2c67e = $(`&lt;div id=&quot;html_e3848a729d7017d7ab43805c9bd2c67e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Puente de Vallecas    Centro:CSS Ramón Pérez De Ayala     Nº Trabajadores:  11      Usuarios Atendidos al dia:4.12       Citas Solicitadas al dia: 3.27&lt;/div&gt;`)[0];\n",
       "            popup_fe331a4837398c3c867e2d97c20e2e0a.setContent(html_e3848a729d7017d7ab43805c9bd2c67e);\n",
       "        \n",
       "\n",
       "        marker_493048bc4aa5e5931547576fc8f347d7.bindPopup(popup_fe331a4837398c3c867e2d97c20e2e0a)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_493048bc4aa5e5931547576fc8f347d7.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     click\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_c8fe64c7c47b6f1b9aebed39a20ac9b1 = L.marker(\n",
       "                [40.4734176402911, -3.693980488727046],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "        var popup_d74766eaa0a7d21e984635df448c9c32 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_bc439b3b0dea9a1dd1408913fe4bff3b = $(`&lt;div id=&quot;html_bc439b3b0dea9a1dd1408913fe4bff3b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Tetuan    Centro:CSS Vicente Ferrer     Nº Trabajadores:  9      Usuarios Atendidos al dia:4.93       Citas Solicitadas al dia: 3.81&lt;/div&gt;`)[0];\n",
       "            popup_d74766eaa0a7d21e984635df448c9c32.setContent(html_bc439b3b0dea9a1dd1408913fe4bff3b);\n",
       "        \n",
       "\n",
       "        marker_c8fe64c7c47b6f1b9aebed39a20ac9b1.bindPopup(popup_d74766eaa0a7d21e984635df448c9c32)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_c8fe64c7c47b6f1b9aebed39a20ac9b1.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     click\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_d0f1c29f723a5392dcf507571224718f = L.marker(\n",
       "                [40.37587416660738, -3.668516059894338],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "        var popup_e8885d4a4be4d309f06820d81d71b388 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_7e3c443d6977f90875aeefb2aa0c4b30 = $(`&lt;div id=&quot;html_7e3c443d6977f90875aeefb2aa0c4b30&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Puente de Vallecas    Centro:CSS Entrevías     Nº Trabajadores:  9      Usuarios Atendidos al dia:4.47       Citas Solicitadas al dia: 3.93&lt;/div&gt;`)[0];\n",
       "            popup_e8885d4a4be4d309f06820d81d71b388.setContent(html_7e3c443d6977f90875aeefb2aa0c4b30);\n",
       "        \n",
       "\n",
       "        marker_d0f1c29f723a5392dcf507571224718f.bindPopup(popup_e8885d4a4be4d309f06820d81d71b388)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_d0f1c29f723a5392dcf507571224718f.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     click\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_61de5c8493d3afee3a6c999fad1d042f = L.marker(\n",
       "                [40.40787455524859, -3.7115617022215055],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "        var popup_029ddf62a55d525ce5960d64eecf6a53 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_2a4a09b0417af0645b0b0539ac843280 = $(`&lt;div id=&quot;html_2a4a09b0417af0645b0b0539ac843280&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Centro    Centro:CSS Puerta de Toledo     Nº Trabajadores:  14      Usuarios Atendidos al dia:2.72       Citas Solicitadas al dia: 2.88&lt;/div&gt;`)[0];\n",
       "            popup_029ddf62a55d525ce5960d64eecf6a53.setContent(html_2a4a09b0417af0645b0b0539ac843280);\n",
       "        \n",
       "\n",
       "        marker_61de5c8493d3afee3a6c999fad1d042f.bindPopup(popup_029ddf62a55d525ce5960d64eecf6a53)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_61de5c8493d3afee3a6c999fad1d042f.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     click\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_8ce3e1f3a9d3e850cc8dc04bce61cb76 = L.marker(\n",
       "                [40.4772643368213, -3.6632244493667994],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "        var popup_24d80cee8d4f491d95bc0620cd1869f9 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_f92d910ab9a18aa453a789314854f69b = $(`&lt;div id=&quot;html_f92d910ab9a18aa453a789314854f69b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Hortaleza    Centro:CSS El Querol     Nº Trabajadores:  6      Usuarios Atendidos al dia:4.91       Citas Solicitadas al dia: 3.96&lt;/div&gt;`)[0];\n",
       "            popup_24d80cee8d4f491d95bc0620cd1869f9.setContent(html_f92d910ab9a18aa453a789314854f69b);\n",
       "        \n",
       "\n",
       "        marker_8ce3e1f3a9d3e850cc8dc04bce61cb76.bindPopup(popup_24d80cee8d4f491d95bc0620cd1869f9)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_8ce3e1f3a9d3e850cc8dc04bce61cb76.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     click\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_f8de72105f0694d214cef10759b56679 = L.marker(\n",
       "                [40.42449915861862, -3.650183231056846],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "        var popup_70e32a5e9ac8b070c03183b72089fec1 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_b35d03cfe661b4e00a04d7ee8e6ec643 = $(`&lt;div id=&quot;html_b35d03cfe661b4e00a04d7ee8e6ec643&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Ciudad Lineal    Centro:CSS Santa Felicidad     Nº Trabajadores:  6      Usuarios Atendidos al dia:4.8       Citas Solicitadas al dia: 3.77&lt;/div&gt;`)[0];\n",
       "            popup_70e32a5e9ac8b070c03183b72089fec1.setContent(html_b35d03cfe661b4e00a04d7ee8e6ec643);\n",
       "        \n",
       "\n",
       "        marker_f8de72105f0694d214cef10759b56679.bindPopup(popup_70e32a5e9ac8b070c03183b72089fec1)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_f8de72105f0694d214cef10759b56679.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     click\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_caa3c1f5a47dd5f63ce12d4b78e9aede = L.marker(\n",
       "                [40.40320399033361, -3.623376671534583],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "        var popup_4308b526d6d99e7fb3e59030be9cf73c = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_559b69406d0d76d7f353c104c3b4b325 = $(`&lt;div id=&quot;html_559b69406d0d76d7f353c104c3b4b325&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Vicalvaro    Centro:CSS Valdebernardo     Nº Trabajadores:  8      Usuarios Atendidos al dia:3.3       Citas Solicitadas al dia: 3.21&lt;/div&gt;`)[0];\n",
       "            popup_4308b526d6d99e7fb3e59030be9cf73c.setContent(html_559b69406d0d76d7f353c104c3b4b325);\n",
       "        \n",
       "\n",
       "        marker_caa3c1f5a47dd5f63ce12d4b78e9aede.bindPopup(popup_4308b526d6d99e7fb3e59030be9cf73c)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_caa3c1f5a47dd5f63ce12d4b78e9aede.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     click\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_66b45f5853a1abcc950d925020db685b = L.marker(\n",
       "                [40.4070331446471, -3.612689038729179],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "        var popup_b5e0af87af9cd87944e0eeab310f5b96 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_be0d2c7c2d1c6ba7306464ae4a8cf39a = $(`&lt;div id=&quot;html_be0d2c7c2d1c6ba7306464ae4a8cf39a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Vicalvaro    Centro:CSS Calahorra     Nº Trabajadores:  7      Usuarios Atendidos al dia:3.59       Citas Solicitadas al dia: 2.61&lt;/div&gt;`)[0];\n",
       "            popup_b5e0af87af9cd87944e0eeab310f5b96.setContent(html_be0d2c7c2d1c6ba7306464ae4a8cf39a);\n",
       "        \n",
       "\n",
       "        marker_66b45f5853a1abcc950d925020db685b.bindPopup(popup_b5e0af87af9cd87944e0eeab310f5b96)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_66b45f5853a1abcc950d925020db685b.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     click\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_fd15d39f0c414f076ea5d997ea5832ef = L.marker(\n",
       "                [40.424819162549525, -3.7014677597546175],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "        var popup_b8d3c4d6997d94d3fbc88a79069c6c43 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_55845a355fddd28eef0367c03a07d447 = $(`&lt;div id=&quot;html_55845a355fddd28eef0367c03a07d447&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Centro    Centro:CSS Maravillas     Nº Trabajadores:  8      Usuarios Atendidos al dia:3.12       Citas Solicitadas al dia: 4.68&lt;/div&gt;`)[0];\n",
       "            popup_b8d3c4d6997d94d3fbc88a79069c6c43.setContent(html_55845a355fddd28eef0367c03a07d447);\n",
       "        \n",
       "\n",
       "        marker_fd15d39f0c414f076ea5d997ea5832ef.bindPopup(popup_b8d3c4d6997d94d3fbc88a79069c6c43)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_fd15d39f0c414f076ea5d997ea5832ef.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     click\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_f23e58bc45a247c281c4a43939fb30c6 = L.marker(\n",
       "                [40.46718542475907, -3.719468302219578],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "        var popup_aedc7a13814cb9d74a05c928b817d8f3 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_cc9c6c831d679e63d7327d64c24725af = $(`&lt;div id=&quot;html_cc9c6c831d679e63d7327d64c24725af&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Moncloa-Aravaca    Centro:CSS Dehesa de la Villa     Nº Trabajadores:  6      Usuarios Atendidos al dia:4.04       Citas Solicitadas al dia: 4.37&lt;/div&gt;`)[0];\n",
       "            popup_aedc7a13814cb9d74a05c928b817d8f3.setContent(html_cc9c6c831d679e63d7327d64c24725af);\n",
       "        \n",
       "\n",
       "        marker_f23e58bc45a247c281c4a43939fb30c6.bindPopup(popup_aedc7a13814cb9d74a05c928b817d8f3)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_f23e58bc45a247c281c4a43939fb30c6.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     click\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_8c7477522c604f6ce9309b419ecc2a58 = L.marker(\n",
       "                [40.45546130807984, -3.587349940845751],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "        var popup_6f8a4cd687b4db3e1a81a9f4419ab19a = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_fdb9420989f38c0aa3225b5b61c53e7b = $(`&lt;div id=&quot;html_fdb9420989f38c0aa3225b5b61c53e7b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Barajas    Centro:CSS Teresa de Calcuta     Nº Trabajadores:  6      Usuarios Atendidos al dia:3.7       Citas Solicitadas al dia: 3.41&lt;/div&gt;`)[0];\n",
       "            popup_6f8a4cd687b4db3e1a81a9f4419ab19a.setContent(html_fdb9420989f38c0aa3225b5b61c53e7b);\n",
       "        \n",
       "\n",
       "        marker_8c7477522c604f6ce9309b419ecc2a58.bindPopup(popup_6f8a4cd687b4db3e1a81a9f4419ab19a)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_8c7477522c604f6ce9309b419ecc2a58.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     click\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_1b0bba2ec0077dada5d7714a5a0ea9ea = L.marker(\n",
       "                [40.43327797516604, -3.7232945022206976],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "        var popup_4df6546f8ab59ff874b842cd19a526ae = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_26235e723053fab428023602703f24d3 = $(`&lt;div id=&quot;html_26235e723053fab428023602703f24d3&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Moncloa-Aravaca    Centro:CSS Infante Don Juan      Nº Trabajadores:  5      Usuarios Atendidos al dia:4.41       Citas Solicitadas al dia: 4.94&lt;/div&gt;`)[0];\n",
       "            popup_4df6546f8ab59ff874b842cd19a526ae.setContent(html_26235e723053fab428023602703f24d3);\n",
       "        \n",
       "\n",
       "        marker_1b0bba2ec0077dada5d7714a5a0ea9ea.bindPopup(popup_4df6546f8ab59ff874b842cd19a526ae)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            marker_1b0bba2ec0077dada5d7714a5a0ea9ea.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     click\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var marker_ba75dbbcfb05a79f0d1d491650ae8d72 = L.marker(\n",
       "                [40.42501677989149, -3.628439973415133],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "            var beautify_icon_3d4ca625def815368dcdf3dd08ffa257 = new L.BeautifyIcon.icon(\n",
       "                {&quot;backgroundColor&quot;: &quot;#cc0000&quot;, &quot;borderColor&quot;: &quot;white&quot;, &quot;borderWidth&quot;: 1, &quot;icon&quot;: &quot;e3b2&quot;, &quot;innerIconStyle&quot;: &quot;&quot;, &quot;isAlphaNumericIcon&quot;: false, &quot;spin&quot;: false, &quot;textColor&quot;: &quot;#000&quot;}\n",
       "            )\n",
       "            marker_ba75dbbcfb05a79f0d1d491650ae8d72.setIcon(beautify_icon_3d4ca625def815368dcdf3dd08ffa257);\n",
       "        \n",
       "    \n",
       "        var popup_8f10fe0e6d35dc436a119bc6c7336654 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_b00047c760262b19be59a47b7333db3d = $(`&lt;div id=&quot;html_b00047c760262b19be59a47b7333db3d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;CSS Luis Vives&lt;/div&gt;`)[0];\n",
       "            popup_8f10fe0e6d35dc436a119bc6c7336654.setContent(html_b00047c760262b19be59a47b7333db3d);\n",
       "        \n",
       "\n",
       "        marker_ba75dbbcfb05a79f0d1d491650ae8d72.bindPopup(popup_8f10fe0e6d35dc436a119bc6c7336654)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_7f11081c59fefd732e553097f72b70a5 = L.marker(\n",
       "                [40.3934418340236, -3.736258531057861],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "            var beautify_icon_1f5e6985ea6da398e9c3c021efb75a2c = new L.BeautifyIcon.icon(\n",
       "                {&quot;backgroundColor&quot;: &quot;#cc0000&quot;, &quot;borderColor&quot;: &quot;white&quot;, &quot;borderWidth&quot;: 1, &quot;icon&quot;: &quot;e3b2&quot;, &quot;innerIconStyle&quot;: &quot;&quot;, &quot;isAlphaNumericIcon&quot;: false, &quot;spin&quot;: false, &quot;textColor&quot;: &quot;#000&quot;}\n",
       "            )\n",
       "            marker_7f11081c59fefd732e553097f72b70a5.setIcon(beautify_icon_1f5e6985ea6da398e9c3c021efb75a2c);\n",
       "        \n",
       "    \n",
       "        var popup_684121724b429fd7efad3c88b09202e9 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_5dfcd4fa38e92dd454833b2243b3e0f8 = $(`&lt;div id=&quot;html_5dfcd4fa38e92dd454833b2243b3e0f8&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;CSS Zaida&lt;/div&gt;`)[0];\n",
       "            popup_684121724b429fd7efad3c88b09202e9.setContent(html_5dfcd4fa38e92dd454833b2243b3e0f8);\n",
       "        \n",
       "\n",
       "        marker_7f11081c59fefd732e553097f72b70a5.bindPopup(popup_684121724b429fd7efad3c88b09202e9)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_24963935b07eee7d9d13132e5ae000c8 = L.marker(\n",
       "                [40.3860198333504, -3.7152178733863215],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "            var beautify_icon_d51870b4ef358a969b909604f22d37d6 = new L.BeautifyIcon.icon(\n",
       "                {&quot;backgroundColor&quot;: &quot;#cc0000&quot;, &quot;borderColor&quot;: &quot;white&quot;, &quot;borderWidth&quot;: 1, &quot;icon&quot;: &quot;e3b2&quot;, &quot;innerIconStyle&quot;: &quot;&quot;, &quot;isAlphaNumericIcon&quot;: false, &quot;spin&quot;: false, &quot;textColor&quot;: &quot;#000&quot;}\n",
       "            )\n",
       "            marker_24963935b07eee7d9d13132e5ae000c8.setIcon(beautify_icon_d51870b4ef358a969b909604f22d37d6);\n",
       "        \n",
       "    \n",
       "        var popup_0fcd04fb39b5b633d5b89a4d54d80fb7 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_96577f0f766d57f1b66e8e722c21c83c = $(`&lt;div id=&quot;html_96577f0f766d57f1b66e8e722c21c83c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;CSS San Filiberto&lt;/div&gt;`)[0];\n",
       "            popup_0fcd04fb39b5b633d5b89a4d54d80fb7.setContent(html_96577f0f766d57f1b66e8e722c21c83c);\n",
       "        \n",
       "\n",
       "        marker_24963935b07eee7d9d13132e5ae000c8.bindPopup(popup_0fcd04fb39b5b633d5b89a4d54d80fb7)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_b3a92507337207ad8da376bfcebf902d = L.marker(\n",
       "                [40.34859465263885, -3.711032600372227],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "            var beautify_icon_df37376d01061f912635184c25825ad3 = new L.BeautifyIcon.icon(\n",
       "                {&quot;backgroundColor&quot;: &quot;#fc0000&quot;, &quot;borderColor&quot;: &quot;white&quot;, &quot;borderWidth&quot;: 1, &quot;icon&quot;: &quot;e3b2&quot;, &quot;innerIconStyle&quot;: &quot;&quot;, &quot;isAlphaNumericIcon&quot;: false, &quot;spin&quot;: false, &quot;textColor&quot;: &quot;#000&quot;}\n",
       "            )\n",
       "            marker_b3a92507337207ad8da376bfcebf902d.setIcon(beautify_icon_df37376d01061f912635184c25825ad3);\n",
       "        \n",
       "    \n",
       "        var popup_f1345d74f1953cd2aa10c172e7f1b27f = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_0ac557acc6c88504b233df8c2b248a24 = $(`&lt;div id=&quot;html_0ac557acc6c88504b233df8c2b248a24&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;CSS Huerta de Villaverde&lt;/div&gt;`)[0];\n",
       "            popup_f1345d74f1953cd2aa10c172e7f1b27f.setContent(html_0ac557acc6c88504b233df8c2b248a24);\n",
       "        \n",
       "\n",
       "        marker_b3a92507337207ad8da376bfcebf902d.bindPopup(popup_f1345d74f1953cd2aa10c172e7f1b27f)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_b640bb73b5efca16c01775f2e6646e30 = L.marker(\n",
       "                [40.38062455268652, -3.7656276022224016],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "            var beautify_icon_c0fbb4577ba5c62fd2a4ff8ecc0632c2 = new L.BeautifyIcon.icon(\n",
       "                {&quot;backgroundColor&quot;: &quot;#fc0000&quot;, &quot;borderColor&quot;: &quot;white&quot;, &quot;borderWidth&quot;: 1, &quot;icon&quot;: &quot;e3b2&quot;, &quot;innerIconStyle&quot;: &quot;&quot;, &quot;isAlphaNumericIcon&quot;: false, &quot;spin&quot;: false, &quot;textColor&quot;: &quot;#000&quot;}\n",
       "            )\n",
       "            marker_b640bb73b5efca16c01775f2e6646e30.setIcon(beautify_icon_c0fbb4577ba5c62fd2a4ff8ecc0632c2);\n",
       "        \n",
       "    \n",
       "        var popup_2dffebd85b4f7d86249aca0048538765 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_3f7e55d43b58d3563bf11bcfb09fcace = $(`&lt;div id=&quot;html_3f7e55d43b58d3563bf11bcfb09fcace&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;CSS Fuerte de Navidad&lt;/div&gt;`)[0];\n",
       "            popup_2dffebd85b4f7d86249aca0048538765.setContent(html_3f7e55d43b58d3563bf11bcfb09fcace);\n",
       "        \n",
       "\n",
       "        marker_b640bb73b5efca16c01775f2e6646e30.bindPopup(popup_2dffebd85b4f7d86249aca0048538765)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_a90a467f9873c372dbc57e5f7c45209c = L.marker(\n",
       "                [40.34824831189097, -3.6865322709757535],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "            var beautify_icon_436cd931c5e3f4a4d1d85066386f9551 = new L.BeautifyIcon.icon(\n",
       "                {&quot;backgroundColor&quot;: &quot;#fc0000&quot;, &quot;borderColor&quot;: &quot;white&quot;, &quot;borderWidth&quot;: 1, &quot;icon&quot;: &quot;e3b2&quot;, &quot;innerIconStyle&quot;: &quot;&quot;, &quot;isAlphaNumericIcon&quot;: false, &quot;spin&quot;: false, &quot;textColor&quot;: &quot;#000&quot;}\n",
       "            )\n",
       "            marker_a90a467f9873c372dbc57e5f7c45209c.setIcon(beautify_icon_436cd931c5e3f4a4d1d85066386f9551);\n",
       "        \n",
       "    \n",
       "        var popup_5c6ac6e73128263bd670ef72df42f804 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_69bd5430c03a4c12357636fef761e38e = $(`&lt;div id=&quot;html_69bd5430c03a4c12357636fef761e38e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;CSS Eduardo Minguito&lt;/div&gt;`)[0];\n",
       "            popup_5c6ac6e73128263bd670ef72df42f804.setContent(html_69bd5430c03a4c12357636fef761e38e);\n",
       "        \n",
       "\n",
       "        marker_a90a467f9873c372dbc57e5f7c45209c.bindPopup(popup_5c6ac6e73128263bd670ef72df42f804)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_1f3dbdb54f11dd57c586569a2a4db62e = L.marker(\n",
       "                [40.39982798161854, -3.6362979310576615],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "            var beautify_icon_afaed252664af412479d534d213386f1 = new L.BeautifyIcon.icon(\n",
       "                {&quot;backgroundColor&quot;: &quot;#ff0000&quot;, &quot;borderColor&quot;: &quot;white&quot;, &quot;borderWidth&quot;: 1, &quot;icon&quot;: &quot;e3b2&quot;, &quot;innerIconStyle&quot;: &quot;&quot;, &quot;isAlphaNumericIcon&quot;: false, &quot;spin&quot;: false, &quot;textColor&quot;: &quot;#000&quot;}\n",
       "            )\n",
       "            marker_1f3dbdb54f11dd57c586569a2a4db62e.setIcon(beautify_icon_afaed252664af412479d534d213386f1);\n",
       "        \n",
       "    \n",
       "        var popup_f5ee0bc718ab7b50aca390cd83ce4972 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_230126a2610feec0bd0652e4ccaf935a = $(`&lt;div id=&quot;html_230126a2610feec0bd0652e4ccaf935a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;CSS Fuente Carrantona&lt;/div&gt;`)[0];\n",
       "            popup_f5ee0bc718ab7b50aca390cd83ce4972.setContent(html_230126a2610feec0bd0652e4ccaf935a);\n",
       "        \n",
       "\n",
       "        marker_1f3dbdb54f11dd57c586569a2a4db62e.bindPopup(popup_f5ee0bc718ab7b50aca390cd83ce4972)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_800bbe5efb17d563477bb0a3cd98de86 = L.marker(\n",
       "                [40.37744203541272, -3.6231382887301655],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "            var beautify_icon_3398edf58bff190b352c3242575274cc = new L.BeautifyIcon.icon(\n",
       "                {&quot;backgroundColor&quot;: &quot;#ff0000&quot;, &quot;borderColor&quot;: &quot;white&quot;, &quot;borderWidth&quot;: 1, &quot;icon&quot;: &quot;e3b2&quot;, &quot;innerIconStyle&quot;: &quot;&quot;, &quot;isAlphaNumericIcon&quot;: false, &quot;spin&quot;: false, &quot;textColor&quot;: &quot;#000&quot;}\n",
       "            )\n",
       "            marker_800bbe5efb17d563477bb0a3cd98de86.setIcon(beautify_icon_3398edf58bff190b352c3242575274cc);\n",
       "        \n",
       "    \n",
       "        var popup_095a7f9d6b0476dd406fd34c1d3d4bde = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_34346ba13d126b95f19538c54a11f6e2 = $(`&lt;div id=&quot;html_34346ba13d126b95f19538c54a11f6e2&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;CSS Villa de Vallecas&lt;/div&gt;`)[0];\n",
       "            popup_095a7f9d6b0476dd406fd34c1d3d4bde.setContent(html_34346ba13d126b95f19538c54a11f6e2);\n",
       "        \n",
       "\n",
       "        marker_800bbe5efb17d563477bb0a3cd98de86.bindPopup(popup_095a7f9d6b0476dd406fd34c1d3d4bde)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_00099910c3bf384e329e7f7107b0e72e = L.marker(\n",
       "                [40.38887701245256, -3.6637561733862474],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "            var beautify_icon_8f451a1bba377b809498ab63d2f735dd = new L.BeautifyIcon.icon(\n",
       "                {&quot;backgroundColor&quot;: &quot;#ff8000&quot;, &quot;borderColor&quot;: &quot;white&quot;, &quot;borderWidth&quot;: 1, &quot;icon&quot;: &quot;e3b2&quot;, &quot;innerIconStyle&quot;: &quot;&quot;, &quot;isAlphaNumericIcon&quot;: false, &quot;spin&quot;: false, &quot;textColor&quot;: &quot;#000&quot;}\n",
       "            )\n",
       "            marker_00099910c3bf384e329e7f7107b0e72e.setIcon(beautify_icon_8f451a1bba377b809498ab63d2f735dd);\n",
       "        \n",
       "    \n",
       "        var popup_11da93f4241ebab6f0a426e481ce2b3e = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_a7abe4d7e0827e4f61234f14e84e75a9 = $(`&lt;div id=&quot;html_a7abe4d7e0827e4f61234f14e84e75a9&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;CSS San Diego&lt;/div&gt;`)[0];\n",
       "            popup_11da93f4241ebab6f0a426e481ce2b3e.setContent(html_a7abe4d7e0827e4f61234f14e84e75a9);\n",
       "        \n",
       "\n",
       "        marker_00099910c3bf384e329e7f7107b0e72e.bindPopup(popup_11da93f4241ebab6f0a426e481ce2b3e)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_bb5226a126c6b3a0377552130277bbc8 = L.marker(\n",
       "                [40.39740990182846, -3.741545986878298],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "            var beautify_icon_fcf1f05d1012469c6867c79923882767 = new L.BeautifyIcon.icon(\n",
       "                {&quot;backgroundColor&quot;: &quot;#ff9933&quot;, &quot;borderColor&quot;: &quot;white&quot;, &quot;borderWidth&quot;: 1, &quot;icon&quot;: &quot;e3b2&quot;, &quot;innerIconStyle&quot;: &quot;&quot;, &quot;isAlphaNumericIcon&quot;: false, &quot;spin&quot;: false, &quot;textColor&quot;: &quot;#000&quot;}\n",
       "            )\n",
       "            marker_bb5226a126c6b3a0377552130277bbc8.setIcon(beautify_icon_fcf1f05d1012469c6867c79923882767);\n",
       "        \n",
       "    \n",
       "        var popup_0746acea3b1606d940cc7d9dd91f89ca = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_e725ac1833eef39dbabb98fce2961715 = $(`&lt;div id=&quot;html_e725ac1833eef39dbabb98fce2961715&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;CSS Gallur&lt;/div&gt;`)[0];\n",
       "            popup_0746acea3b1606d940cc7d9dd91f89ca.setContent(html_e725ac1833eef39dbabb98fce2961715);\n",
       "        \n",
       "\n",
       "        marker_bb5226a126c6b3a0377552130277bbc8.bindPopup(popup_0746acea3b1606d940cc7d9dd91f89ca)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_ee7c8fe672d2a13b3b0e0d5abb6103ba = L.marker(\n",
       "                [40.39473458505697, -3.697806502221937],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "            var beautify_icon_09fa0dc3161d06aa6ccb65c3ee1584ab = new L.BeautifyIcon.icon(\n",
       "                {&quot;backgroundColor&quot;: &quot;#ff9933&quot;, &quot;borderColor&quot;: &quot;white&quot;, &quot;borderWidth&quot;: 1, &quot;icon&quot;: &quot;e3b2&quot;, &quot;innerIconStyle&quot;: &quot;&quot;, &quot;isAlphaNumericIcon&quot;: false, &quot;spin&quot;: false, &quot;textColor&quot;: &quot;#000&quot;}\n",
       "            )\n",
       "            marker_ee7c8fe672d2a13b3b0e0d5abb6103ba.setIcon(beautify_icon_09fa0dc3161d06aa6ccb65c3ee1584ab);\n",
       "        \n",
       "    \n",
       "        var popup_e08d7ff513ebc3812781412127c33c89 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_c35fc5113b443749babab9cf69e2e37b = $(`&lt;div id=&quot;html_c35fc5113b443749babab9cf69e2e37b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;CSS José Villarreal&lt;/div&gt;`)[0];\n",
       "            popup_e08d7ff513ebc3812781412127c33c89.setContent(html_c35fc5113b443749babab9cf69e2e37b);\n",
       "        \n",
       "\n",
       "        marker_ee7c8fe672d2a13b3b0e0d5abb6103ba.bindPopup(popup_e08d7ff513ebc3812781412127c33c89)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_dd5b454426d304f01c0282d585438e1b = L.marker(\n",
       "                [40.459428706835055, -3.7016494598915943],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "            var beautify_icon_58d2cb453fe95b687150e813bc96fee9 = new L.BeautifyIcon.icon(\n",
       "                {&quot;backgroundColor&quot;: &quot;#999900&quot;, &quot;borderColor&quot;: &quot;white&quot;, &quot;borderWidth&quot;: 1, &quot;icon&quot;: &quot;e3b2&quot;, &quot;innerIconStyle&quot;: &quot;&quot;, &quot;isAlphaNumericIcon&quot;: false, &quot;spin&quot;: false, &quot;textColor&quot;: &quot;#000&quot;}\n",
       "            )\n",
       "            marker_dd5b454426d304f01c0282d585438e1b.setIcon(beautify_icon_58d2cb453fe95b687150e813bc96fee9);\n",
       "        \n",
       "    \n",
       "        var popup_048c405bf7a15ec972876e67f957adbc = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_89261a07b8da342b618e9468a4e8da27 = $(`&lt;div id=&quot;html_89261a07b8da342b618e9468a4e8da27&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;CSS María Zayas&lt;/div&gt;`)[0];\n",
       "            popup_048c405bf7a15ec972876e67f957adbc.setContent(html_89261a07b8da342b618e9468a4e8da27);\n",
       "        \n",
       "\n",
       "        marker_dd5b454426d304f01c0282d585438e1b.bindPopup(popup_048c405bf7a15ec972876e67f957adbc)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_74760cdcfe0c18103a16f0dac2f1e074 = L.marker(\n",
       "                [40.39136159446368, -3.750177802222056],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "            var beautify_icon_3b45af37bb57bcf1dccbe59859c8e783 = new L.BeautifyIcon.icon(\n",
       "                {&quot;backgroundColor&quot;: &quot;#999900&quot;, &quot;borderColor&quot;: &quot;white&quot;, &quot;borderWidth&quot;: 1, &quot;icon&quot;: &quot;e3b2&quot;, &quot;innerIconStyle&quot;: &quot;&quot;, &quot;isAlphaNumericIcon&quot;: false, &quot;spin&quot;: false, &quot;textColor&quot;: &quot;#000&quot;}\n",
       "            )\n",
       "            marker_74760cdcfe0c18103a16f0dac2f1e074.setIcon(beautify_icon_3b45af37bb57bcf1dccbe59859c8e783);\n",
       "        \n",
       "    \n",
       "        var popup_1934edc97ea3f6dd6f669e2efe3d38cd = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_6c3bfca3f3a29e222ff5c5bfab6fbaab = $(`&lt;div id=&quot;html_6c3bfca3f3a29e222ff5c5bfab6fbaab&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;CSS Los Yébenes&lt;/div&gt;`)[0];\n",
       "            popup_1934edc97ea3f6dd6f669e2efe3d38cd.setContent(html_6c3bfca3f3a29e222ff5c5bfab6fbaab);\n",
       "        \n",
       "\n",
       "        marker_74760cdcfe0c18103a16f0dac2f1e074.bindPopup(popup_1934edc97ea3f6dd6f669e2efe3d38cd)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_ce76d48affe7feda0717e7fed2702d09 = L.marker(\n",
       "                [40.47269441943195, -3.7165554022193983],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "            var beautify_icon_7b9cb17c0528715c08bcbf84e97d2c47 = new L.BeautifyIcon.icon(\n",
       "                {&quot;backgroundColor&quot;: &quot;#336600&quot;, &quot;borderColor&quot;: &quot;white&quot;, &quot;borderWidth&quot;: 1, &quot;icon&quot;: &quot;e3b2&quot;, &quot;innerIconStyle&quot;: &quot;&quot;, &quot;isAlphaNumericIcon&quot;: false, &quot;spin&quot;: false, &quot;textColor&quot;: &quot;#000&quot;}\n",
       "            )\n",
       "            marker_ce76d48affe7feda0717e7fed2702d09.setIcon(beautify_icon_7b9cb17c0528715c08bcbf84e97d2c47);\n",
       "        \n",
       "    \n",
       "        var popup_3adfa292ecf8e2442d16415417d0df7c = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_da7ad229481ca47693657390f06d4105 = $(`&lt;div id=&quot;html_da7ad229481ca47693657390f06d4105&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;CSS San Vicente de Paúl&lt;/div&gt;`)[0];\n",
       "            popup_3adfa292ecf8e2442d16415417d0df7c.setContent(html_da7ad229481ca47693657390f06d4105);\n",
       "        \n",
       "\n",
       "        marker_ce76d48affe7feda0717e7fed2702d09.bindPopup(popup_3adfa292ecf8e2442d16415417d0df7c)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_a756c221a828aebefb9f5370b24ea636 = L.marker(\n",
       "                [40.44636947534598, -3.6123520868766974],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "            var beautify_icon_11fb0dcb84e47fa24c7a4034b010688c = new L.BeautifyIcon.icon(\n",
       "                {&quot;backgroundColor&quot;: &quot;#336600&quot;, &quot;borderColor&quot;: &quot;white&quot;, &quot;borderWidth&quot;: 1, &quot;icon&quot;: &quot;e3b2&quot;, &quot;innerIconStyle&quot;: &quot;&quot;, &quot;isAlphaNumericIcon&quot;: false, &quot;spin&quot;: false, &quot;textColor&quot;: &quot;#000&quot;}\n",
       "            )\n",
       "            marker_a756c221a828aebefb9f5370b24ea636.setIcon(beautify_icon_11fb0dcb84e47fa24c7a4034b010688c);\n",
       "        \n",
       "    \n",
       "        var popup_50329827d382a5158960594e238bc659 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_48525e27b9db90f326904a15927fd58f = $(`&lt;div id=&quot;html_48525e27b9db90f326904a15927fd58f&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;CSS Torre Arias&lt;/div&gt;`)[0];\n",
       "            popup_50329827d382a5158960594e238bc659.setContent(html_48525e27b9db90f326904a15927fd58f);\n",
       "        \n",
       "\n",
       "        marker_a756c221a828aebefb9f5370b24ea636.bindPopup(popup_50329827d382a5158960594e238bc659)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_1a6b358ef3e51a6101a1200c515c680c = L.marker(\n",
       "                [40.4336954397877, -3.669135159892447],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "            var beautify_icon_39aecfbfe25cc8db68ab5683aaeafba4 = new L.BeautifyIcon.icon(\n",
       "                {&quot;backgroundColor&quot;: &quot;#00ff00&quot;, &quot;borderColor&quot;: &quot;white&quot;, &quot;borderWidth&quot;: 1, &quot;icon&quot;: &quot;e3b2&quot;, &quot;innerIconStyle&quot;: &quot;&quot;, &quot;isAlphaNumericIcon&quot;: false, &quot;spin&quot;: false, &quot;textColor&quot;: &quot;#000&quot;}\n",
       "            )\n",
       "            marker_1a6b358ef3e51a6101a1200c515c680c.setIcon(beautify_icon_39aecfbfe25cc8db68ab5683aaeafba4);\n",
       "        \n",
       "    \n",
       "        var popup_859b41863e41c087dc4d4a2fa7f3a450 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_d94fd7f22159b51c152efefd1083f77d = $(`&lt;div id=&quot;html_d94fd7f22159b51c152efefd1083f77d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;CSS Guindalera&lt;/div&gt;`)[0];\n",
       "            popup_859b41863e41c087dc4d4a2fa7f3a450.setContent(html_d94fd7f22159b51c152efefd1083f77d);\n",
       "        \n",
       "\n",
       "        marker_1a6b358ef3e51a6101a1200c515c680c.bindPopup(popup_859b41863e41c087dc4d4a2fa7f3a450)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_6c8a375bb377b4f1a37a475a2e7c5a06 = L.marker(\n",
       "                [40.43487660326667, -3.710377502220637],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "            var beautify_icon_ff088d2e2ea2ffef05ca356aba6e4811 = new L.BeautifyIcon.icon(\n",
       "                {&quot;backgroundColor&quot;: &quot;#00ff00&quot;, &quot;borderColor&quot;: &quot;white&quot;, &quot;borderWidth&quot;: 1, &quot;icon&quot;: &quot;e3b2&quot;, &quot;innerIconStyle&quot;: &quot;&quot;, &quot;isAlphaNumericIcon&quot;: false, &quot;spin&quot;: false, &quot;textColor&quot;: &quot;#000&quot;}\n",
       "            )\n",
       "            marker_6c8a375bb377b4f1a37a475a2e7c5a06.setIcon(beautify_icon_ff088d2e2ea2ffef05ca356aba6e4811);\n",
       "        \n",
       "    \n",
       "        var popup_d6467547346665d0918f4e869e43e647 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_efde37017a6fff18d08fba09e19e8507 = $(`&lt;div id=&quot;html_efde37017a6fff18d08fba09e19e8507&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;CSS Marta Esquivias Tallada&lt;/div&gt;`)[0];\n",
       "            popup_d6467547346665d0918f4e869e43e647.setContent(html_efde37017a6fff18d08fba09e19e8507);\n",
       "        \n",
       "\n",
       "        marker_6c8a375bb377b4f1a37a475a2e7c5a06.bindPopup(popup_d6467547346665d0918f4e869e43e647)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_c2decaa33909de1fff3604a769f57f49 = L.marker(\n",
       "                [40.49383211423289, -3.6971141022187135],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "            var beautify_icon_7644c474bc5bd0c0215830fc0a12ee5a = new L.BeautifyIcon.icon(\n",
       "                {&quot;backgroundColor&quot;: &quot;#33ffff&quot;, &quot;borderColor&quot;: &quot;white&quot;, &quot;borderWidth&quot;: 1, &quot;icon&quot;: &quot;e3b2&quot;, &quot;innerIconStyle&quot;: &quot;&quot;, &quot;isAlphaNumericIcon&quot;: false, &quot;spin&quot;: false, &quot;textColor&quot;: &quot;#000&quot;}\n",
       "            )\n",
       "            marker_c2decaa33909de1fff3604a769f57f49.setIcon(beautify_icon_7644c474bc5bd0c0215830fc0a12ee5a);\n",
       "        \n",
       "    \n",
       "        var popup_13c295bcb0d009fea1f5822abb0e727d = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_c898d6af9fecd5bb23aad258974dda04 = $(`&lt;div id=&quot;html_c898d6af9fecd5bb23aad258974dda04&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;CSS Badalona&lt;/div&gt;`)[0];\n",
       "            popup_13c295bcb0d009fea1f5822abb0e727d.setContent(html_c898d6af9fecd5bb23aad258974dda04);\n",
       "        \n",
       "\n",
       "        marker_c2decaa33909de1fff3604a769f57f49.bindPopup(popup_13c295bcb0d009fea1f5822abb0e727d)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_6c39a8d42ca87e31c1dab89a8e914e54 = L.marker(\n",
       "                [40.4665855403963, -3.641912452486497],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "            var beautify_icon_76edaf7e766c7d5b747c88c8451296e1 = new L.BeautifyIcon.icon(\n",
       "                {&quot;backgroundColor&quot;: &quot;#33ffff&quot;, &quot;borderColor&quot;: &quot;white&quot;, &quot;borderWidth&quot;: 1, &quot;icon&quot;: &quot;e3b2&quot;, &quot;innerIconStyle&quot;: &quot;&quot;, &quot;isAlphaNumericIcon&quot;: false, &quot;spin&quot;: false, &quot;textColor&quot;: &quot;#000&quot;}\n",
       "            )\n",
       "            marker_6c39a8d42ca87e31c1dab89a8e914e54.setIcon(beautify_icon_76edaf7e766c7d5b747c88c8451296e1);\n",
       "        \n",
       "    \n",
       "        var popup_14349264baa20d954e35ac23250180b1 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_0f4e4db4c1938a5062ee7033483d85c6 = $(`&lt;div id=&quot;html_0f4e4db4c1938a5062ee7033483d85c6&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;CSS Concepción Arenal&lt;/div&gt;`)[0];\n",
       "            popup_14349264baa20d954e35ac23250180b1.setContent(html_0f4e4db4c1938a5062ee7033483d85c6);\n",
       "        \n",
       "\n",
       "        marker_6c39a8d42ca87e31c1dab89a8e914e54.bindPopup(popup_14349264baa20d954e35ac23250180b1)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_41ccc6c76fa0ac0ed900bf1a24959913 = L.marker(\n",
       "                [40.36662209241889, -3.6914632371462175],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "            var beautify_icon_ae3b2d330abec4cf3ce8980598e5aa15 = new L.BeautifyIcon.icon(\n",
       "                {&quot;backgroundColor&quot;: &quot;#00cccc&quot;, &quot;borderColor&quot;: &quot;white&quot;, &quot;borderWidth&quot;: 1, &quot;icon&quot;: &quot;e3b2&quot;, &quot;innerIconStyle&quot;: &quot;&quot;, &quot;isAlphaNumericIcon&quot;: false, &quot;spin&quot;: false, &quot;textColor&quot;: &quot;#000&quot;}\n",
       "            )\n",
       "            marker_41ccc6c76fa0ac0ed900bf1a24959913.setIcon(beautify_icon_ae3b2d330abec4cf3ce8980598e5aa15);\n",
       "        \n",
       "    \n",
       "        var popup_71028761d42ee21bd74ab23b3ad7ac6c = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_518c8b703164f91c145f50a1f36452bb = $(`&lt;div id=&quot;html_518c8b703164f91c145f50a1f36452bb&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;CSS Loyola de Palacio&lt;/div&gt;`)[0];\n",
       "            popup_71028761d42ee21bd74ab23b3ad7ac6c.setContent(html_518c8b703164f91c145f50a1f36452bb);\n",
       "        \n",
       "\n",
       "        marker_41ccc6c76fa0ac0ed900bf1a24959913.bindPopup(popup_71028761d42ee21bd74ab23b3ad7ac6c)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_9d37d59f76da363fa59e2b57b43eb617 = L.marker(\n",
       "                [40.42642658240264, -3.620318719336263],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "            var beautify_icon_9f6a31bf4443fbf68f6e0f4d9eecc603 = new L.BeautifyIcon.icon(\n",
       "                {&quot;backgroundColor&quot;: &quot;#00cccc&quot;, &quot;borderColor&quot;: &quot;white&quot;, &quot;borderWidth&quot;: 1, &quot;icon&quot;: &quot;e3b2&quot;, &quot;innerIconStyle&quot;: &quot;&quot;, &quot;isAlphaNumericIcon&quot;: false, &quot;spin&quot;: false, &quot;textColor&quot;: &quot;#000&quot;}\n",
       "            )\n",
       "            marker_9d37d59f76da363fa59e2b57b43eb617.setIcon(beautify_icon_9f6a31bf4443fbf68f6e0f4d9eecc603);\n",
       "        \n",
       "    \n",
       "        var popup_d6139f0d02a0955ef188e8e6bbaf7caf = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_ae94ea35c6c971c32d4dac977d395092 = $(`&lt;div id=&quot;html_ae94ea35c6c971c32d4dac977d395092&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;CSS Pablo Casals&lt;/div&gt;`)[0];\n",
       "            popup_d6139f0d02a0955ef188e8e6bbaf7caf.setContent(html_ae94ea35c6c971c32d4dac977d395092);\n",
       "        \n",
       "\n",
       "        marker_9d37d59f76da363fa59e2b57b43eb617.bindPopup(popup_d6139f0d02a0955ef188e8e6bbaf7caf)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_e6714be068a7fca3488b2f7f5a3668e2 = L.marker(\n",
       "                [40.386323828120254, -3.71740812920687],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "            var beautify_icon_0baec37de50eb180da02bf73a74d434e = new L.BeautifyIcon.icon(\n",
       "                {&quot;backgroundColor&quot;: &quot;#0080ff&quot;, &quot;borderColor&quot;: &quot;white&quot;, &quot;borderWidth&quot;: 1, &quot;icon&quot;: &quot;e3b2&quot;, &quot;innerIconStyle&quot;: &quot;&quot;, &quot;isAlphaNumericIcon&quot;: false, &quot;spin&quot;: false, &quot;textColor&quot;: &quot;#000&quot;}\n",
       "            )\n",
       "            marker_e6714be068a7fca3488b2f7f5a3668e2.setIcon(beautify_icon_0baec37de50eb180da02bf73a74d434e);\n",
       "        \n",
       "    \n",
       "        var popup_6e09579cb0cbdd1657ff490d4cc266e6 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_1f3f7e0afae24ab965161b8ad7969098 = $(`&lt;div id=&quot;html_1f3f7e0afae24ab965161b8ad7969098&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;CSS Plaza Elíptica&lt;/div&gt;`)[0];\n",
       "            popup_6e09579cb0cbdd1657ff490d4cc266e6.setContent(html_1f3f7e0afae24ab965161b8ad7969098);\n",
       "        \n",
       "\n",
       "        marker_e6714be068a7fca3488b2f7f5a3668e2.bindPopup(popup_6e09579cb0cbdd1657ff490d4cc266e6)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_fc5eced950f2ec3010d51718b3093a90 = L.marker(\n",
       "                [40.44520343924561, -3.6692495989875495],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "            var beautify_icon_4fc7137b7d8ef74f71bcd8b482e660ee = new L.BeautifyIcon.icon(\n",
       "                {&quot;backgroundColor&quot;: &quot;#0080ff&quot;, &quot;borderColor&quot;: &quot;white&quot;, &quot;borderWidth&quot;: 1, &quot;icon&quot;: &quot;e3b2&quot;, &quot;innerIconStyle&quot;: &quot;&quot;, &quot;isAlphaNumericIcon&quot;: false, &quot;spin&quot;: false, &quot;textColor&quot;: &quot;#000&quot;}\n",
       "            )\n",
       "            marker_fc5eced950f2ec3010d51718b3093a90.setIcon(beautify_icon_4fc7137b7d8ef74f71bcd8b482e660ee);\n",
       "        \n",
       "    \n",
       "        var popup_878d3b630548f34b597bf555d19812f1 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_d51d5f3848685485c2f422ede00fe1dc = $(`&lt;div id=&quot;html_d51d5f3848685485c2f422ede00fe1dc&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;CSS Santa Hortensia&lt;/div&gt;`)[0];\n",
       "            popup_878d3b630548f34b597bf555d19812f1.setContent(html_d51d5f3848685485c2f422ede00fe1dc);\n",
       "        \n",
       "\n",
       "        marker_fc5eced950f2ec3010d51718b3093a90.bindPopup(popup_878d3b630548f34b597bf555d19812f1)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_6929ac5dee74fa18e1249f4bcbf09f76 = L.marker(\n",
       "                [40.38542831215889, -3.6443648580428087],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "            var beautify_icon_b949750e5ca1e64b1053b2e26fe4c9b2 = new L.BeautifyIcon.icon(\n",
       "                {&quot;backgroundColor&quot;: &quot;#0000ff&quot;, &quot;borderColor&quot;: &quot;white&quot;, &quot;borderWidth&quot;: 1, &quot;icon&quot;: &quot;e3b2&quot;, &quot;innerIconStyle&quot;: &quot;&quot;, &quot;isAlphaNumericIcon&quot;: false, &quot;spin&quot;: false, &quot;textColor&quot;: &quot;#000&quot;}\n",
       "            )\n",
       "            marker_6929ac5dee74fa18e1249f4bcbf09f76.setIcon(beautify_icon_b949750e5ca1e64b1053b2e26fe4c9b2);\n",
       "        \n",
       "    \n",
       "        var popup_dfebab00771001287fe3e09fb316e079 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_543fc5169648eba92c4176a18d5e0c84 = $(`&lt;div id=&quot;html_543fc5169648eba92c4176a18d5e0c84&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;CSS Pablo Neruda&lt;/div&gt;`)[0];\n",
       "            popup_dfebab00771001287fe3e09fb316e079.setContent(html_543fc5169648eba92c4176a18d5e0c84);\n",
       "        \n",
       "\n",
       "        marker_6929ac5dee74fa18e1249f4bcbf09f76.bindPopup(popup_dfebab00771001287fe3e09fb316e079)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_144ac4d30d42b934f1dd3940d92ed7a9 = L.marker(\n",
       "                [40.41482705195912, -3.667699859893042],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "            var beautify_icon_9dabd17133056dddbd7e38ef06d54205 = new L.BeautifyIcon.icon(\n",
       "                {&quot;backgroundColor&quot;: &quot;#0000ff&quot;, &quot;borderColor&quot;: &quot;white&quot;, &quot;borderWidth&quot;: 1, &quot;icon&quot;: &quot;e3b2&quot;, &quot;innerIconStyle&quot;: &quot;&quot;, &quot;isAlphaNumericIcon&quot;: false, &quot;spin&quot;: false, &quot;textColor&quot;: &quot;#000&quot;}\n",
       "            )\n",
       "            marker_144ac4d30d42b934f1dd3940d92ed7a9.setIcon(beautify_icon_9dabd17133056dddbd7e38ef06d54205);\n",
       "        \n",
       "    \n",
       "        var popup_9e1f4be879c0f836471c1bcf71455887 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_97d18a6f6756bd915725f622133ce749 = $(`&lt;div id=&quot;html_97d18a6f6756bd915725f622133ce749&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;CSS Retiro&lt;/div&gt;`)[0];\n",
       "            popup_9e1f4be879c0f836471c1bcf71455887.setContent(html_97d18a6f6756bd915725f622133ce749);\n",
       "        \n",
       "\n",
       "        marker_144ac4d30d42b934f1dd3940d92ed7a9.bindPopup(popup_9e1f4be879c0f836471c1bcf71455887)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_ceea98fb29f87cd86d9ab5eac5dd85f5 = L.marker(\n",
       "                [40.40130810366574, -3.653755404072945],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "            var beautify_icon_fe0b70009311d6511d6ed5e396a77f45 = new L.BeautifyIcon.icon(\n",
       "                {&quot;backgroundColor&quot;: &quot;#0000ff&quot;, &quot;borderColor&quot;: &quot;white&quot;, &quot;borderWidth&quot;: 1, &quot;icon&quot;: &quot;e3b2&quot;, &quot;innerIconStyle&quot;: &quot;&quot;, &quot;isAlphaNumericIcon&quot;: false, &quot;spin&quot;: false, &quot;textColor&quot;: &quot;#000&quot;}\n",
       "            )\n",
       "            marker_ceea98fb29f87cd86d9ab5eac5dd85f5.setIcon(beautify_icon_fe0b70009311d6511d6ed5e396a77f45);\n",
       "        \n",
       "    \n",
       "        var popup_a68302cf769b94882a05368e8ff22d8c = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_4af96bcb8946514a7b749aa31c213a6e = $(`&lt;div id=&quot;html_4af96bcb8946514a7b749aa31c213a6e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;CSS Ramón Pérez De Ayala&lt;/div&gt;`)[0];\n",
       "            popup_a68302cf769b94882a05368e8ff22d8c.setContent(html_4af96bcb8946514a7b749aa31c213a6e);\n",
       "        \n",
       "\n",
       "        marker_ceea98fb29f87cd86d9ab5eac5dd85f5.bindPopup(popup_a68302cf769b94882a05368e8ff22d8c)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_5d6479e940cb6be28a45f53c8ff74569 = L.marker(\n",
       "                [40.4734176402911, -3.693980488727046],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "            var beautify_icon_80864dac69910cf9b60044b52ceb4b34 = new L.BeautifyIcon.icon(\n",
       "                {&quot;backgroundColor&quot;: &quot;#0000cc&quot;, &quot;borderColor&quot;: &quot;white&quot;, &quot;borderWidth&quot;: 1, &quot;icon&quot;: &quot;e3b2&quot;, &quot;innerIconStyle&quot;: &quot;&quot;, &quot;isAlphaNumericIcon&quot;: false, &quot;spin&quot;: false, &quot;textColor&quot;: &quot;#000&quot;}\n",
       "            )\n",
       "            marker_5d6479e940cb6be28a45f53c8ff74569.setIcon(beautify_icon_80864dac69910cf9b60044b52ceb4b34);\n",
       "        \n",
       "    \n",
       "        var popup_2a6e82db44259937bd35127793b924b7 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_b4bc1d669014cca60baf68b8cbf20216 = $(`&lt;div id=&quot;html_b4bc1d669014cca60baf68b8cbf20216&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;CSS Vicente Ferrer&lt;/div&gt;`)[0];\n",
       "            popup_2a6e82db44259937bd35127793b924b7.setContent(html_b4bc1d669014cca60baf68b8cbf20216);\n",
       "        \n",
       "\n",
       "        marker_5d6479e940cb6be28a45f53c8ff74569.bindPopup(popup_2a6e82db44259937bd35127793b924b7)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_abe911f611b5209279744864ae7dbdc2 = L.marker(\n",
       "                [40.37587416660738, -3.668516059894338],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "            var beautify_icon_a6b52516fc4dd25431a77301e4e5c155 = new L.BeautifyIcon.icon(\n",
       "                {&quot;backgroundColor&quot;: &quot;#0000cc&quot;, &quot;borderColor&quot;: &quot;white&quot;, &quot;borderWidth&quot;: 1, &quot;icon&quot;: &quot;e3b2&quot;, &quot;innerIconStyle&quot;: &quot;&quot;, &quot;isAlphaNumericIcon&quot;: false, &quot;spin&quot;: false, &quot;textColor&quot;: &quot;#000&quot;}\n",
       "            )\n",
       "            marker_abe911f611b5209279744864ae7dbdc2.setIcon(beautify_icon_a6b52516fc4dd25431a77301e4e5c155);\n",
       "        \n",
       "    \n",
       "        var popup_27c4e3c1b30654b221e6e8b41a69f73d = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_4fe99a4378d25c4dcea03614f619f65a = $(`&lt;div id=&quot;html_4fe99a4378d25c4dcea03614f619f65a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;CSS Entrevías&lt;/div&gt;`)[0];\n",
       "            popup_27c4e3c1b30654b221e6e8b41a69f73d.setContent(html_4fe99a4378d25c4dcea03614f619f65a);\n",
       "        \n",
       "\n",
       "        marker_abe911f611b5209279744864ae7dbdc2.bindPopup(popup_27c4e3c1b30654b221e6e8b41a69f73d)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_6409e33599243e91ffd60ae59c5306a2 = L.marker(\n",
       "                [40.40787455524859, -3.7115617022215055],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "            var beautify_icon_be81b88b57bdc0f364712498693cdda4 = new L.BeautifyIcon.icon(\n",
       "                {&quot;backgroundColor&quot;: &quot;#0000cc&quot;, &quot;borderColor&quot;: &quot;white&quot;, &quot;borderWidth&quot;: 1, &quot;icon&quot;: &quot;e3b2&quot;, &quot;innerIconStyle&quot;: &quot;&quot;, &quot;isAlphaNumericIcon&quot;: false, &quot;spin&quot;: false, &quot;textColor&quot;: &quot;#000&quot;}\n",
       "            )\n",
       "            marker_6409e33599243e91ffd60ae59c5306a2.setIcon(beautify_icon_be81b88b57bdc0f364712498693cdda4);\n",
       "        \n",
       "    \n",
       "        var popup_525b757ac123ea564351b81885ae8a86 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_829e63261be4de5f8df063fa8f76db3b = $(`&lt;div id=&quot;html_829e63261be4de5f8df063fa8f76db3b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;CSS Puerta de Toledo&lt;/div&gt;`)[0];\n",
       "            popup_525b757ac123ea564351b81885ae8a86.setContent(html_829e63261be4de5f8df063fa8f76db3b);\n",
       "        \n",
       "\n",
       "        marker_6409e33599243e91ffd60ae59c5306a2.bindPopup(popup_525b757ac123ea564351b81885ae8a86)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_6592cf189405f0ce6f678e5aa2cdb207 = L.marker(\n",
       "                [40.4772643368213, -3.6632244493667994],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "            var beautify_icon_c8d1ee48562983101bdedbc0ec0ae476 = new L.BeautifyIcon.icon(\n",
       "                {&quot;backgroundColor&quot;: &quot;#004c99&quot;, &quot;borderColor&quot;: &quot;white&quot;, &quot;borderWidth&quot;: 1, &quot;icon&quot;: &quot;e3b2&quot;, &quot;innerIconStyle&quot;: &quot;&quot;, &quot;isAlphaNumericIcon&quot;: false, &quot;spin&quot;: false, &quot;textColor&quot;: &quot;#000&quot;}\n",
       "            )\n",
       "            marker_6592cf189405f0ce6f678e5aa2cdb207.setIcon(beautify_icon_c8d1ee48562983101bdedbc0ec0ae476);\n",
       "        \n",
       "    \n",
       "        var popup_e80e0211af67560cc83b8db495d8d9e8 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_b63f398b5c6c804d28b53463aa15ea62 = $(`&lt;div id=&quot;html_b63f398b5c6c804d28b53463aa15ea62&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;CSS El Querol&lt;/div&gt;`)[0];\n",
       "            popup_e80e0211af67560cc83b8db495d8d9e8.setContent(html_b63f398b5c6c804d28b53463aa15ea62);\n",
       "        \n",
       "\n",
       "        marker_6592cf189405f0ce6f678e5aa2cdb207.bindPopup(popup_e80e0211af67560cc83b8db495d8d9e8)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_b7c7d63dd5ed9ab7b358cd420e356164 = L.marker(\n",
       "                [40.42449915861862, -3.650183231056846],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "            var beautify_icon_21d5a30549318793a86b7aa5b060afa9 = new L.BeautifyIcon.icon(\n",
       "                {&quot;backgroundColor&quot;: &quot;#004c99&quot;, &quot;borderColor&quot;: &quot;white&quot;, &quot;borderWidth&quot;: 1, &quot;icon&quot;: &quot;e3b2&quot;, &quot;innerIconStyle&quot;: &quot;&quot;, &quot;isAlphaNumericIcon&quot;: false, &quot;spin&quot;: false, &quot;textColor&quot;: &quot;#000&quot;}\n",
       "            )\n",
       "            marker_b7c7d63dd5ed9ab7b358cd420e356164.setIcon(beautify_icon_21d5a30549318793a86b7aa5b060afa9);\n",
       "        \n",
       "    \n",
       "        var popup_5ec551a6c1563f38839dcb87c4251118 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_69b7f55338e87d0e2283deab9e49c9ee = $(`&lt;div id=&quot;html_69b7f55338e87d0e2283deab9e49c9ee&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;CSS Santa Felicidad&lt;/div&gt;`)[0];\n",
       "            popup_5ec551a6c1563f38839dcb87c4251118.setContent(html_69b7f55338e87d0e2283deab9e49c9ee);\n",
       "        \n",
       "\n",
       "        marker_b7c7d63dd5ed9ab7b358cd420e356164.bindPopup(popup_5ec551a6c1563f38839dcb87c4251118)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_89798537505f7bead95d6078aa6c7f55 = L.marker(\n",
       "                [40.40320399033361, -3.623376671534583],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "            var beautify_icon_45cb87817b5116fdeb2f5c330239fe4c = new L.BeautifyIcon.icon(\n",
       "                {&quot;backgroundColor&quot;: &quot;#004c99&quot;, &quot;borderColor&quot;: &quot;white&quot;, &quot;borderWidth&quot;: 1, &quot;icon&quot;: &quot;e3b2&quot;, &quot;innerIconStyle&quot;: &quot;&quot;, &quot;isAlphaNumericIcon&quot;: false, &quot;spin&quot;: false, &quot;textColor&quot;: &quot;#000&quot;}\n",
       "            )\n",
       "            marker_89798537505f7bead95d6078aa6c7f55.setIcon(beautify_icon_45cb87817b5116fdeb2f5c330239fe4c);\n",
       "        \n",
       "    \n",
       "        var popup_938694153c61dfb69f0099aecd8e61ae = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_97fcb8cc7da3af6fced3667d6e06a87f = $(`&lt;div id=&quot;html_97fcb8cc7da3af6fced3667d6e06a87f&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;CSS Valdebernardo&lt;/div&gt;`)[0];\n",
       "            popup_938694153c61dfb69f0099aecd8e61ae.setContent(html_97fcb8cc7da3af6fced3667d6e06a87f);\n",
       "        \n",
       "\n",
       "        marker_89798537505f7bead95d6078aa6c7f55.bindPopup(popup_938694153c61dfb69f0099aecd8e61ae)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_95bd067ad0ec912cfffc99ec6595e586 = L.marker(\n",
       "                [40.4070331446471, -3.612689038729179],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "            var beautify_icon_eb3fa2aa21532324c9c48ae42c6ac3f2 = new L.BeautifyIcon.icon(\n",
       "                {&quot;backgroundColor&quot;: &quot;#000099&quot;, &quot;borderColor&quot;: &quot;white&quot;, &quot;borderWidth&quot;: 1, &quot;icon&quot;: &quot;e3b2&quot;, &quot;innerIconStyle&quot;: &quot;&quot;, &quot;isAlphaNumericIcon&quot;: false, &quot;spin&quot;: false, &quot;textColor&quot;: &quot;#000&quot;}\n",
       "            )\n",
       "            marker_95bd067ad0ec912cfffc99ec6595e586.setIcon(beautify_icon_eb3fa2aa21532324c9c48ae42c6ac3f2);\n",
       "        \n",
       "    \n",
       "        var popup_5d5a802dad856edec904993d8940e1e7 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_3dbfa8989bb0d1bf4915fe6ef3a0ef34 = $(`&lt;div id=&quot;html_3dbfa8989bb0d1bf4915fe6ef3a0ef34&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;CSS Calahorra&lt;/div&gt;`)[0];\n",
       "            popup_5d5a802dad856edec904993d8940e1e7.setContent(html_3dbfa8989bb0d1bf4915fe6ef3a0ef34);\n",
       "        \n",
       "\n",
       "        marker_95bd067ad0ec912cfffc99ec6595e586.bindPopup(popup_5d5a802dad856edec904993d8940e1e7)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_14258e796b0298f5d7c976c3632b7cc9 = L.marker(\n",
       "                [40.424819162549525, -3.7014677597546175],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "            var beautify_icon_77111382412f61e2e4b52ec3ce97df3d = new L.BeautifyIcon.icon(\n",
       "                {&quot;backgroundColor&quot;: &quot;#000099&quot;, &quot;borderColor&quot;: &quot;white&quot;, &quot;borderWidth&quot;: 1, &quot;icon&quot;: &quot;e3b2&quot;, &quot;innerIconStyle&quot;: &quot;&quot;, &quot;isAlphaNumericIcon&quot;: false, &quot;spin&quot;: false, &quot;textColor&quot;: &quot;#000&quot;}\n",
       "            )\n",
       "            marker_14258e796b0298f5d7c976c3632b7cc9.setIcon(beautify_icon_77111382412f61e2e4b52ec3ce97df3d);\n",
       "        \n",
       "    \n",
       "        var popup_dc15dc792205805fa138c91b315ca8d8 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_d1188e50a1f68119cfc769ba2bbd3206 = $(`&lt;div id=&quot;html_d1188e50a1f68119cfc769ba2bbd3206&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;CSS Maravillas&lt;/div&gt;`)[0];\n",
       "            popup_dc15dc792205805fa138c91b315ca8d8.setContent(html_d1188e50a1f68119cfc769ba2bbd3206);\n",
       "        \n",
       "\n",
       "        marker_14258e796b0298f5d7c976c3632b7cc9.bindPopup(popup_dc15dc792205805fa138c91b315ca8d8)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_5e0692f8d4d3db180d70a8173ab6e605 = L.marker(\n",
       "                [40.46718542475907, -3.719468302219578],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "            var beautify_icon_2b6323501924cbe71dcf8cb2fb16a6a5 = new L.BeautifyIcon.icon(\n",
       "                {&quot;backgroundColor&quot;: &quot;#000066&quot;, &quot;borderColor&quot;: &quot;white&quot;, &quot;borderWidth&quot;: 1, &quot;icon&quot;: &quot;e3b2&quot;, &quot;innerIconStyle&quot;: &quot;&quot;, &quot;isAlphaNumericIcon&quot;: false, &quot;spin&quot;: false, &quot;textColor&quot;: &quot;#000&quot;}\n",
       "            )\n",
       "            marker_5e0692f8d4d3db180d70a8173ab6e605.setIcon(beautify_icon_2b6323501924cbe71dcf8cb2fb16a6a5);\n",
       "        \n",
       "    \n",
       "        var popup_696563ac92f1a10d8be1512fe4750d55 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_f51523fa5974234c1761da568fb5411b = $(`&lt;div id=&quot;html_f51523fa5974234c1761da568fb5411b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;CSS Dehesa de la Villa&lt;/div&gt;`)[0];\n",
       "            popup_696563ac92f1a10d8be1512fe4750d55.setContent(html_f51523fa5974234c1761da568fb5411b);\n",
       "        \n",
       "\n",
       "        marker_5e0692f8d4d3db180d70a8173ab6e605.bindPopup(popup_696563ac92f1a10d8be1512fe4750d55)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_543754dc8fd4e7b246702394f23528c5 = L.marker(\n",
       "                [40.45546130807984, -3.587349940845751],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "            var beautify_icon_ca9db869e6a4a7187f19c39c8b31f2fc = new L.BeautifyIcon.icon(\n",
       "                {&quot;backgroundColor&quot;: &quot;#000066&quot;, &quot;borderColor&quot;: &quot;white&quot;, &quot;borderWidth&quot;: 1, &quot;icon&quot;: &quot;e3b2&quot;, &quot;innerIconStyle&quot;: &quot;&quot;, &quot;isAlphaNumericIcon&quot;: false, &quot;spin&quot;: false, &quot;textColor&quot;: &quot;#000&quot;}\n",
       "            )\n",
       "            marker_543754dc8fd4e7b246702394f23528c5.setIcon(beautify_icon_ca9db869e6a4a7187f19c39c8b31f2fc);\n",
       "        \n",
       "    \n",
       "        var popup_156db8c31ef7167b36d6e0617370722c = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_a5bf19e74a5bbe20e41c7623f2a2dd9f = $(`&lt;div id=&quot;html_a5bf19e74a5bbe20e41c7623f2a2dd9f&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;CSS Teresa de Calcuta&lt;/div&gt;`)[0];\n",
       "            popup_156db8c31ef7167b36d6e0617370722c.setContent(html_a5bf19e74a5bbe20e41c7623f2a2dd9f);\n",
       "        \n",
       "\n",
       "        marker_543754dc8fd4e7b246702394f23528c5.bindPopup(popup_156db8c31ef7167b36d6e0617370722c)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_22195b6cd557d8ef9cd80fd0b6eb53eb = L.marker(\n",
       "                [40.43327797516604, -3.7232945022206976],\n",
       "                {}\n",
       "            ).addTo(map_e28c64ad9b290e88bc4200347e4c3738);\n",
       "        \n",
       "    \n",
       "            var beautify_icon_eb1670bf1bc79fc4244edf61f203251d = new L.BeautifyIcon.icon(\n",
       "                {&quot;backgroundColor&quot;: &quot;#000066&quot;, &quot;borderColor&quot;: &quot;white&quot;, &quot;borderWidth&quot;: 1, &quot;icon&quot;: &quot;e3b2&quot;, &quot;innerIconStyle&quot;: &quot;&quot;, &quot;isAlphaNumericIcon&quot;: false, &quot;spin&quot;: false, &quot;textColor&quot;: &quot;#000&quot;}\n",
       "            )\n",
       "            marker_22195b6cd557d8ef9cd80fd0b6eb53eb.setIcon(beautify_icon_eb1670bf1bc79fc4244edf61f203251d);\n",
       "        \n",
       "    \n",
       "        var popup_f860f13cdcbe1268420491bf5974c37a = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_bcb261653ec4a6d814a5dbd8aa4ca509 = $(`&lt;div id=&quot;html_bcb261653ec4a6d814a5dbd8aa4ca509&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;CSS Infante Don Juan &lt;/div&gt;`)[0];\n",
       "            popup_f860f13cdcbe1268420491bf5974c37a.setContent(html_bcb261653ec4a6d814a5dbd8aa4ca509);\n",
       "        \n",
       "\n",
       "        marker_22195b6cd557d8ef9cd80fd0b6eb53eb.bindPopup(popup_f860f13cdcbe1268420491bf5974c37a)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "&lt;/script&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x1ae0aa95488>"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mapa = folium.Map(location=[40.4167, -3.6840],\n",
    "                 zoom_start=12)\n",
    "\n",
    "for (index, row) in mapa_css.iterrows():\n",
    "    folium.Marker(location = [row.loc['lat'], row.loc['lon']],\n",
    "                 popup = row.loc['Nombre distrito']+'    Centro:' + row['Centro']+'     Nº Trabajadores:  ' + row['Trabajadores Sociales Total'] + '      Usuarios Atendidos al dia:' +row.loc['Citas_atendidas_por_trabajador']  + '       Citas Solicitadas al dia: ' + row.loc['Citas_proporcionadas_por_trabajador'],\n",
    "                 tooltip = 'click').add_to(mapa)\n",
    "\n",
    "for i in mapa_css.itertuples():\n",
    "    folium.Marker(location=[i.lat, i.lon],\n",
    "                  popup=i.Centro,\n",
    "                  icon=plugins.BeautifyIcon(\n",
    "                    icon='e3b2',\n",
    "                    border_color='white',\n",
    "                    border_width=1,\n",
    "                    background_color=i.Color)).add_to(mapa)\n",
    "\n",
    "mapa"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "mapa.save('Graphics\\mapa_css_madrid.html')                       ## Grabamos el mapa para visualizarlo en presentación"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## CONCLUSIÓN:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "De las dos que hemos planteado al principio de este Análisis Exploratorio de Datos (EDA), solo hemos podido confirmar la __primera hipótesis__.\n",
    "\n",
    "Se ve que hay varios Centros de Atención Primaria,cuyos Trabajadores Sociales, están sobrecargados de Trabajo (llegando a tener un promedio más de 7 usuarios atendidos al día por Trabajador Social), frente a otros Centros de Atención Primaria que tienen mucha menor carga de trabajo.\n",
    "\n",
    "También se ve que en estos Centros  se atiende a más usuarios que los que deberían de tener al compararlo con los promedios de Citas solicitadas al día. Esto hace suponer que o bien tienen varios servicios de urgencias o bien que los usuarios van sin cita previa y se les atiende.\n",
    "\n",
    "En relación con la __segunda hipótesis__ no se ha podido obtener suficiente información para poder aplicar un estudio.\n",
    "\n",
    "De la información recabada en los Datasets se puede realizar más estudios sobre la calidad y las demandas de los usuarios, como podría ser el tipo de ayuda/demanda que más solicitan e incluso referenciarla a si son estacionales o no.\n",
    "\n"
   ]
  }
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