diff --git a/ejemplos-jupyter/ejemplos-EMSE/EMSE_Analisis.ipynb b/ejemplos-jupyter/ejemplos-EMSE/EMSE_Analisis.ipynb
index 8c69bed43f54c9d5d9eeb017ee44eab1a8a9b4ee..8dc95a397215d7a98feeb638cc9c7186ff97609f 100644
--- a/ejemplos-jupyter/ejemplos-EMSE/EMSE_Analisis.ipynb
+++ b/ejemplos-jupyter/ejemplos-EMSE/EMSE_Analisis.ipynb
@@ -7,29 +7,17 @@
    "source": [
     "## Analizando resultados de la 3° Encuesta Mundial de Salud Escolar (EMSE) en Argentina\n",
     "\n",
-    "Podemos acceder al link del dataset en: \n",
+    "En los siguientes ejemplos nos encontraremos analizando los datos recolectados de la 3° Encuesta Mundial de Salud Escolar (EMSE), en particular, los datos extraídos pertenecientes a la República Argentina. El dataset utilizado se encuentra en el siguiente link:\n",
     "<http://datos.salud.gob.ar/dataset/base-de-datos-de-la-3-encuesta-mundial-de-salud-escolar-emse-con-resultados-nacionales-argentina>\n",
     "\n",
-    "Para comenzar, importamos las librerias necesarias para visualizar y graficar los datos:"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "e7bf882e",
-   "metadata": {},
-   "source": [
-    "**Agregar** \n",
-    "* sobre que son los datos, que son dos tables, qué contiene cada una?\n",
-    "* que vamos a ver:\n",
-    "    * Que información relevante vamos a poder analziar con estos datos\n",
-    "    * Comparación entre las veces que comieron snacks vs las veces que comieron frutas durante los ultimos 7 dias.\n",
-    "    * Gráfico comparando la cantidad de días que no fue correcta su alimentación en los últimos 30 días.VER???\n",
-    "* visualizar y curar datos\n"
+    "Para comenzar, importamos las librerías necesarias para visualizar y graficar los datos. Estaremos utilizando:\n",
+    "* [Pandas](https://aprendeconalf.es/docencia/python/manual/pandas/): una herramienta extremadamente versátil y eficiente para procesar estructuras de datos. \n",
+    "* [Matplotlib](https://aprendeconalf.es/docencia/python/manual/matplotlib/): una de las librerías más simples de aprender, para visualizar gráficos con Python."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 1,
    "id": "852dc66c",
    "metadata": {},
    "outputs": [],
@@ -46,20 +34,19 @@
     "Como paso siguiente, debemos leer y cargar en variables a los siguientes archivos:\n",
     "\n",
     "1) Dataset de los resultados de la encuesta.  \n",
-    "2) Tabla con las preguntas realizadas."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "27dad04e",
-   "metadata": {},
-   "source": [
-    "Me faltó instalar openpyxl, aclarar que se debe instalar y para qué sirve"
+    "2) Tabla con las preguntas realizadas.\n",
+    "\n",
+    "En los siguientes ejemplos nos encontraremos analizando los datos recolectados de la 3° Encuesta Mundial de Salud Escolar (EMSE), en particular, los datos extraídos pertenecientes a la República Argentina. El dataset utilizado se encuentra en el siguiente link:\n",
+    "<http://datos.salud.gob.ar/dataset/base-de-datos-de-la-3-encuesta-mundial-de-salud-escolar-emse-con-resultados-nacionales-argentina>\n",
+    "\n",
+    "Para comenzar, importamos las librerías necesarias para visualizar y graficar los datos. Estaremos utilizando:\n",
+    "* [Pandas](https://aprendeconalf.es/docencia/python/manual/pandas/): una herramienta extremadamente versátil y eficiente para procesar estructuras de datos. \n",
+    "* [Matplotlib](https://aprendeconalf.es/docencia/python/manual/matplotlib/): una de las librerías más simples de aprender, para visualizar gráficos con Python."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 2,
    "id": "1d78ad9d",
    "metadata": {},
    "outputs": [],
@@ -73,12 +60,12 @@
    "id": "a9177d6c",
    "metadata": {},
    "source": [
-    "Visualizamos una parte del contenido de ambas tablas con la función **head()**."
+    "Visualizamos una parte del contenido de ambas tablas con la función **head(X)**, que nos permite ver las primeras X filas que especifiquemos."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 3,
    "id": "19d43ebd",
    "metadata": {
     "scrolled": true
@@ -426,7 +413,7 @@
        "[10 rows x 309 columns]"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -435,9 +422,23 @@
     "resultados_df.head(10)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "339a2a62",
+   "metadata": {},
+   "source": [
+    "La primer tabla contiene los resultados de las preguntas de la encuesta realizada. En particular, cada fila corresponde a los resultados de una persona encuestada, y, se tienen las siguientes columnas:\n",
+    "- Sitio: hace referencia al país de origen de la persona encuestada.\n",
+    "- Record: índice único de la fila.\n",
+    "\n",
+    "A partir de la tercer columna, estas deberían considerarse de a pares (Columna 3 y 4, columna 5 y 6, etc.):\n",
+    "- La primera representa el código de respuesta de la pregunta de código asociado al nombre de la columna (q1, q2, q3, y así),\n",
+    "- Mientras que la segunda, el texto correspondiente a ese código de respuesta a la pregunta."
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 4,
    "id": "c504e5fa",
    "metadata": {},
    "outputs": [
@@ -580,7 +581,7 @@
        "9                NaN                   5.0                15 años  "
       ]
      },
-     "execution_count": 10,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -594,7 +595,16 @@
    "id": "526e8d2f",
    "metadata": {},
    "source": [
-    "Como puede verse, los datos que realmente nos interesan de la segunda tabla son: el código de la pregunta relacionado con la pregunta en sí. Para una mejor legibilidad, eliminaremos las columnas que no nos sirven, asi como las filas con valores NaN (Not a Number)."
+    "La segunda tabla es un poco menos intuitiva que la anterior, ya que no todas las filas corresponden a preguntas. Mientras algunas sí lo hacen (como la fila 4), las que le siguen antes de encontrarnos con la siguiente pregunta, contienen los códigos de respuesta a la misma (fila 4), conjunto a la respuesta legible asociada a ese código.\n",
+    "Las columnas de esta tabla son las siguientes:\n",
+    "\n",
+    "* Código variable estándar: código de pregunta estándar. -> Utilizaremos este código para realizar las consultas.\n",
+    "* Código variable ARG (N° de pregunta): código de pregunta en Argentina.\n",
+    "* Pregunta: pregunta asociada al código (en formato de texto).\n",
+    "* Códigos de respuesta: códigos de respuesta posibles para cada pregunta.\n",
+    "* Etiquetas de respuesta: respuesta en formato de texto asociado a cada código.\n",
+    "\n",
+    "Como puede verse, los datos que realmente nos interesan son: el código de la pregunta (Codigo variable estándar) y la pregunta en sí (Pregunta). Para una mejor legibilidad, eliminaremos las columnas que no nos sirven, asi como las filas con valores NaN (Not a Number)."
    ]
   },
   {
@@ -602,78 +612,20 @@
    "id": "6c74f378",
    "metadata": {},
    "source": [
-    "Modificar:\n",
-    "* poner una instrucción por celda y explicar , la cantidad de elementos en la lista de los nombres de las columnas son iguales a la cantidad que tiene el dataset original?\n",
-    "* primero visualizar los nombres de las columnas actuales\n",
-    "* podría ser mejor poner nombres con _ en lugar de espacio?\n",
-    "* en la instrucción drop que significa axis?\n",
-    "* por qué es necesario esta instrucción\n",
-    "```python\n",
-    "# Cambiamos el valor de caracteres máximos que podemos visualizar de una columna\n",
-    "pd.options.display.max_colwidth = 200\n",
-    "```\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "id": "e1520256",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Index(['Código variable standard', 'Código variable ARG (Nº de pregunta)',\n",
-       "       'Pregunta', 'Códigos de respuesta', 'Etiquetas de respuesta'],\n",
-       "      dtype='object')"
-      ]
-     },
-     "execution_count": 12,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "codigos_preguntas.columns"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "id": "6271d84a",
-   "metadata": {
-    "scrolled": false
-   },
-   "outputs": [],
-   "source": [
-    "# Renombramoslas columnas\n",
-    "codigos_preguntas.columns = [\"Codigo variable estandar\",\n",
-    "                             \"Codigo variable ARG\",\"Pregunta\",\n",
-    "                             \"Codigos de respuesta\",\n",
-    "                             \"Etiquetas de respuesta\"]\n",
-    "# Eliminamos aquellas columnas que no nos sirven\n",
-    "codigos_preguntas = codigos_preguntas.drop([\"Codigos de respuesta\",\n",
-    "                                            \"Codigo variable ARG\",\n",
-    "                                            \"Etiquetas de respuesta\"], \n",
-    "                                           axis=\"columns\")\n",
-    "# Quitamos aquellas filas que no tienen valores válidos\n",
-    "codigos_preguntas = codigos_preguntas.dropna()\n",
-    "# Cambiamos el valor de caracteres máximos que podemos visualizar de una columna\n",
-    "pd.options.display.max_colwidth = 200"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "bf318933",
-   "metadata": {},
-   "source": [
-    "Veamos cómo quedó la tabla luego de los cambios realizados."
+    "Ahora que repasamos los datos que contiene cada tabla, debemos dejarlos listos para poder trabajar de forma cómoda con ellas. Para hacerlo, en primer instancia deberíamos quedarnos solo con aquellas columnas que nos servirán luego durante el análisis. De la segunda tabla (codigos_preguntas), los datos que realmente nos interesan son: el código de la pregunta (Codigo variable estándar) y la pregunta en sí (Pregunta). \n",
+    "\n",
+    "Una forma de realizarlo, es utilizando la función **drop()**, que como primer parámetro, recibe una *lista* con los nombres de las columnas que queremos descartar. Una lista se especifica entre [] (Corchetes), y sus elementos se separan usando , (coma).\n",
+    "Como segundo parámetro, especificaremos de que axis (columnas o filas), queremos eliminar. En nuestro caso, como queremos eliminar columnas, le pasamos el valor \"columns\".\n",
+    "\n",
+    "Para entender mejor el funcionamiento de las listas y de la función drop, pueden dirigirse a:\n",
+    "- https://ellibrodepython.com/listas-en-python\n",
+    "- https://interactivechaos.com/es/python/function/pandasdataframedrop"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
-   "id": "733d3443",
+   "execution_count": 5,
+   "id": "23605a86",
    "metadata": {},
    "outputs": [
     {
@@ -697,7 +649,7 @@
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
-       "      <th>Codigo variable estandar</th>\n",
+       "      <th>Código variable standard</th>\n",
        "      <th>Pregunta</th>\n",
        "    </tr>\n",
        "  </thead>\n",
@@ -708,143 +660,224 @@
        "      <td>Lugar</td>\n",
        "    </tr>\n",
        "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>record</td>\n",
        "      <td>Nº  de registro</td>\n",
        "    </tr>\n",
        "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>q1</td>\n",
        "      <td>¿Qué edad tienes?</td>\n",
        "    </tr>\n",
        "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
        "      <th>13</th>\n",
        "      <td>q2</td>\n",
        "      <td>¿Cuál es tu sexo?</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>17</th>\n",
-       "      <td>q3</td>\n",
-       "      <td>¿En qué grado o año estás?</td>\n",
+       "      <th>14</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>24</th>\n",
-       "      <td>q4</td>\n",
-       "      <td>¿Cuál es tu estatura, sin zapatos? (Nota: dato en metros)</td>\n",
+       "      <th>15</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>26</th>\n",
-       "      <td>q5</td>\n",
-       "      <td>¿Cuánto pesas, sin zapatos?  (Nota: dato en kilogramos.)</td>\n",
+       "      <th>16</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>28</th>\n",
-       "      <td>q6</td>\n",
-       "      <td>Durante los últimos 30 días ¿con qué frecuencia te quedaste con hambre porque no había suficiente comida en tu hogar?</td>\n",
+       "      <th>17</th>\n",
+       "      <td>q3</td>\n",
+       "      <td>¿En qué grado o año estás?</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>35</th>\n",
-       "      <td>q10</td>\n",
-       "      <td>Durante los últimos 7 días, ¿cuántos días comiste en un restaurante de comida rápida como  McDonald’s, Burger King, Mostaza, una hamburguesería o panchería?</td>\n",
+       "      <th>18</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>45</th>\n",
-       "      <td>q15</td>\n",
-       "      <td>Durante los últimos 12 meses, Cuantas veces fuiste atacado físicamente?</td>\n",
+       "      <th>19</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "   Codigo variable estandar  \\\n",
-       "0                      site   \n",
-       "2                    record   \n",
-       "4                        q1   \n",
-       "13                       q2   \n",
-       "17                       q3   \n",
-       "24                       q4   \n",
-       "26                       q5   \n",
-       "28                       q6   \n",
-       "35                      q10   \n",
-       "45                      q15   \n",
-       "\n",
-       "                                                                                                                                                        Pregunta  \n",
-       "0                                                                                                                                                          Lugar  \n",
-       "2                                                                                                                                                Nº  de registro  \n",
-       "4                                                                                                                                              ¿Qué edad tienes?  \n",
-       "13                                                                                                                                             ¿Cuál es tu sexo?  \n",
-       "17                                                                                                                                    ¿En qué grado o año estás?  \n",
-       "24                                                                                                     ¿Cuál es tu estatura, sin zapatos? (Nota: dato en metros)  \n",
-       "26                                                                                                      ¿Cuánto pesas, sin zapatos?  (Nota: dato en kilogramos.)  \n",
-       "28                                         Durante los últimos 30 días ¿con qué frecuencia te quedaste con hambre porque no había suficiente comida en tu hogar?  \n",
-       "35  Durante los últimos 7 días, ¿cuántos días comiste en un restaurante de comida rápida como  McDonald’s, Burger King, Mostaza, una hamburguesería o panchería?  \n",
-       "45                                                                                       Durante los últimos 12 meses, Cuantas veces fuiste atacado físicamente?  "
+       "   Código variable standard                    Pregunta\n",
+       "0                      site                       Lugar\n",
+       "1                       NaN                         NaN\n",
+       "2                    record             Nº  de registro\n",
+       "3                       NaN                         NaN\n",
+       "4                        q1           ¿Qué edad tienes?\n",
+       "5                       NaN                         NaN\n",
+       "6                       NaN                         NaN\n",
+       "7                       NaN                         NaN\n",
+       "8                       NaN                         NaN\n",
+       "9                       NaN                         NaN\n",
+       "10                      NaN                         NaN\n",
+       "11                      NaN                         NaN\n",
+       "12                      NaN                         NaN\n",
+       "13                       q2           ¿Cuál es tu sexo?\n",
+       "14                      NaN                         NaN\n",
+       "15                      NaN                         NaN\n",
+       "16                      NaN                         NaN\n",
+       "17                       q3  ¿En qué grado o año estás?\n",
+       "18                      NaN                         NaN\n",
+       "19                      NaN                         NaN"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "codigos_preguntas.head(10)"
+    "codigos_preguntas = codigos_preguntas.drop([\"Códigos de respuesta\",\n",
+    "                                            \"Código variable ARG (Nº de pregunta)\",\n",
+    "                                            \"Etiquetas de respuesta\"], \n",
+    "                                           axis=\"columns\")\n",
+    "codigos_preguntas.head(20)"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "5925e27f",
+   "id": "1d85acde",
    "metadata": {},
    "source": [
-    "Como se puede ver, los datos que nos provee esta tabla son los códigos de las preguntas asociados a las preguntas correspondientes dentro del cuestionario. En la tabla de respuestas, lo que encontramos es que el código de cada pregunta corresponde con el nombre de una columna, y la respuesta se encuentra en una columna con nombre **text_código**.  \n",
-    "    \n",
-    "Se debe realizar esta aclaración, ya que la comprensión de las tablas que usaremos resulta esencial a la hora de analizar los datos contenidos en ellas."
+    "Como se ve mediante usando .columns, los nombres actuales de las columnas no son los mejores para trabajar, ya que contienen mayúsculas, espacios y vocales con tildes, así que los renombraremos."
    ]
   },
   {
-   "cell_type": "markdown",
-   "id": "22b58105",
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "e1520256",
    "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['Código variable standard', 'Pregunta'], dtype='object')"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "En base a los datos que se nos proveen podemos querer realizar muchos cálculos, entre los cuales se pueden encontrar:\n",
-    "* Comparación entre las veces que comieron snacks vs las veces que comieron frutas durante los ultimos 7 dias.\n",
-    "* Porcentajes de niños junto a la frecuencia con la que pasaron hambre durante los últimos 30 días."
+    "# Nombres de columnas actuales\n",
+    "codigos_preguntas.columns"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "3eb82c51",
+   "id": "8e8ef020",
    "metadata": {},
    "source": [
-    "## 1° gráfico: \n",
-    "Identificar la cantidad de veces que comieron snacks vs veces que comieron frutas\n",
-    "\n",
-    "Se debe realizar ambos graficos, uno al lado del otro. Para ello, las preguntas que necesitamos son aquellas con codigo q64(Snacks), y con codigo q61(Frutas). Para asegurarnos, imprimiremos el contenido de cada una de ellas:"
+    "Renombramos las columnas"
    ]
   },
   {
-   "cell_type": "markdown",
-   "id": "cffa8341",
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "dd64d329",
    "metadata": {},
+   "outputs": [],
    "source": [
-    "Pondría más simple para acceder a la pregunta"
+    "codigos_preguntas.columns = [\"codigo_variable_estandar\",\n",
+    "                             \"pregunta\"]"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
-   "id": "47922ae6",
+   "execution_count": 8,
+   "id": "2b994872",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['codigo_variable_estandar', 'pregunta'], dtype='object')"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Nombres de columnas resultantes\n",
+    "codigos_preguntas.columns"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b9057d9f",
    "metadata": {},
-   "outputs": [],
    "source": [
-    "pregunta_snacks = codigos_preguntas[codigos_preguntas\n",
-    "                                    [\"Codigo variable estandar\"] == \"q64\"]"
+    "Quitamos aquellas filas que contienen valores NaN, los cuales no nos sirven, mediante la función **dropna()** y visualizamos la tabla resultante."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
-   "id": "a4adde0b",
+   "execution_count": 9,
+   "id": "02026891",
    "metadata": {},
    "outputs": [
     {
@@ -868,80 +901,410 @@
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
-       "      <th>Codigo variable estandar</th>\n",
-       "      <th>Pregunta</th>\n",
+       "      <th>codigo_variable_estandar</th>\n",
+       "      <th>pregunta</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>415</th>\n",
-       "      <td>q64</td>\n",
-       "      <td>Durante los últimos 7 días ¿cuántas veces comiste comida salada o snaks, como papas fritas, palitos, chizitos, kesitas, saladix?</td>\n",
+       "      <th>0</th>\n",
+       "      <td>site</td>\n",
+       "      <td>Lugar</td>\n",
        "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "    Codigo variable estandar  \\\n",
-       "415                      q64   \n",
-       "\n",
-       "                                                                                                                             Pregunta  \n",
-       "415  Durante los últimos 7 días ¿cuántas veces comiste comida salada o snaks, como papas fritas, palitos, chizitos, kesitas, saladix?  "
-      ]
-     },
-     "execution_count": 17,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pregunta_snacks"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "66a50d58",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Pregunta q64: \n",
-      " 415    Durante los últimos 7 días ¿cuántas veces comiste comida salada o snaks, como papas fritas, palitos, chizitos, kesitas, saladix?\n",
-      "Pregunta q61: \n",
-      " 388    Durante los últimos 7 días ¿cuántas veces comiste frutas como manzanas, naranjas, bananas, mandarinas?\n"
-     ]
-    }
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>record</td>\n",
+       "      <td>Nº  de registro</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>q1</td>\n",
+       "      <td>¿Qué edad tienes?</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>q2</td>\n",
+       "      <td>¿Cuál es tu sexo?</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>q3</td>\n",
+       "      <td>¿En qué grado o año estás?</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>q4</td>\n",
+       "      <td>¿Cuál es tu estatura, sin zapatos? (Nota: dato...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>q5</td>\n",
+       "      <td>¿Cuánto pesas, sin zapatos?  (Nota: dato en ki...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>q6</td>\n",
+       "      <td>Durante los últimos 30 días ¿con qué frecuenci...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>35</th>\n",
+       "      <td>q10</td>\n",
+       "      <td>Durante los últimos 7 días, ¿cuántos días comi...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>45</th>\n",
+       "      <td>q15</td>\n",
+       "      <td>Durante los últimos 12 meses, Cuantas veces fu...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   codigo_variable_estandar                                           pregunta\n",
+       "0                      site                                              Lugar\n",
+       "2                    record                                    Nº  de registro\n",
+       "4                        q1                                  ¿Qué edad tienes?\n",
+       "13                       q2                                  ¿Cuál es tu sexo?\n",
+       "17                       q3                         ¿En qué grado o año estás?\n",
+       "24                       q4  ¿Cuál es tu estatura, sin zapatos? (Nota: dato...\n",
+       "26                       q5  ¿Cuánto pesas, sin zapatos?  (Nota: dato en ki...\n",
+       "28                       q6  Durante los últimos 30 días ¿con qué frecuenci...\n",
+       "35                      q10  Durante los últimos 7 días, ¿cuántos días comi...\n",
+       "45                      q15  Durante los últimos 12 meses, Cuantas veces fu..."
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
    ],
    "source": [
-    "#Vemos el contenido de la pregunta de código q64\n",
-    "\n",
-    "#Nos quedamos con la fila cuyo contenido en la columna \"Codigo variable estandar\" es igual a \"q64\"\n",
-    "pregunta_snacks = codigos_preguntas[codigos_preguntas\n",
-    "                                    [\"Codigo variable estandar\"] == \"q64\"]\n",
+    "codigos_preguntas = codigos_preguntas.dropna()\n",
+    "codigos_preguntas.head(10)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a7ea15b3",
+   "metadata": {},
+   "source": [
+    "Todavía nos queda algo por resolver. \n",
+    "    Por defecto, la cantidad de caracteres que se permite visualizar de cada columna no es muy grande, y no nos permite ver las preguntas completas. Para arreglarlo, cambiaremos el máximo de caracteres visibles de las columnas a un número que nos sea útil cambiando la configuración de pandas de maxcolwidth (tamaño máximo de columna) a 200."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "e34b7ff1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pd.options.display.max_colwidth = 200"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bf318933",
+   "metadata": {},
+   "source": [
+    "Veamos cómo quedó la tabla luego de los cambios realizados."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "733d3443",
+   "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>codigo_variable_estandar</th>\n",
+       "      <th>pregunta</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>site</td>\n",
+       "      <td>Lugar</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>record</td>\n",
+       "      <td>Nº  de registro</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>q1</td>\n",
+       "      <td>¿Qué edad tienes?</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>q2</td>\n",
+       "      <td>¿Cuál es tu sexo?</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>q3</td>\n",
+       "      <td>¿En qué grado o año estás?</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>q4</td>\n",
+       "      <td>¿Cuál es tu estatura, sin zapatos? (Nota: dato en metros)</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>q5</td>\n",
+       "      <td>¿Cuánto pesas, sin zapatos?  (Nota: dato en kilogramos.)</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>q6</td>\n",
+       "      <td>Durante los últimos 30 días ¿con qué frecuencia te quedaste con hambre porque no había suficiente comida en tu hogar?</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>35</th>\n",
+       "      <td>q10</td>\n",
+       "      <td>Durante los últimos 7 días, ¿cuántos días comiste en un restaurante de comida rápida como  McDonald’s, Burger King, Mostaza, una hamburguesería o panchería?</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>45</th>\n",
+       "      <td>q15</td>\n",
+       "      <td>Durante los últimos 12 meses, Cuantas veces fuiste atacado físicamente?</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   codigo_variable_estandar  \\\n",
+       "0                      site   \n",
+       "2                    record   \n",
+       "4                        q1   \n",
+       "13                       q2   \n",
+       "17                       q3   \n",
+       "24                       q4   \n",
+       "26                       q5   \n",
+       "28                       q6   \n",
+       "35                      q10   \n",
+       "45                      q15   \n",
+       "\n",
+       "                                                                                                                                                        pregunta  \n",
+       "0                                                                                                                                                          Lugar  \n",
+       "2                                                                                                                                                Nº  de registro  \n",
+       "4                                                                                                                                              ¿Qué edad tienes?  \n",
+       "13                                                                                                                                             ¿Cuál es tu sexo?  \n",
+       "17                                                                                                                                    ¿En qué grado o año estás?  \n",
+       "24                                                                                                     ¿Cuál es tu estatura, sin zapatos? (Nota: dato en metros)  \n",
+       "26                                                                                                      ¿Cuánto pesas, sin zapatos?  (Nota: dato en kilogramos.)  \n",
+       "28                                         Durante los últimos 30 días ¿con qué frecuencia te quedaste con hambre porque no había suficiente comida en tu hogar?  \n",
+       "35  Durante los últimos 7 días, ¿cuántos días comiste en un restaurante de comida rápida como  McDonald’s, Burger King, Mostaza, una hamburguesería o panchería?  \n",
+       "45                                                                                       Durante los últimos 12 meses, Cuantas veces fuiste atacado físicamente?  "
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "codigos_preguntas.head(10)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5925e27f",
+   "metadata": {},
+   "source": [
+    "Como se puede ver, los datos que nos provee esta tabla son los códigos de las preguntas asociados a las preguntas correspondientes dentro del cuestionario. En la tabla de respuestas, lo que encontramos es que el código de cada pregunta corresponde con el nombre de una columna, y la respuesta se encuentra en una columna siguiente con nombre **text_código**. (q1 y text_q1, y así). "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "22b58105",
+   "metadata": {},
+   "source": [
+    "En base a los datos que se nos proveen podemos querer realizar muchos cálculos, entre los cuales se pueden encontrar, por ejemplo:\n",
     "\n",
-    "#Imprimimos el contenido de la columna \"Pregunta\" de la fila resultante\n",
-    "print(\"Pregunta q64: \\n\", pregunta_snacks[\"Pregunta\"].to_string())\n",
+    "* Comparación entre las veces que comieron snacks vs las veces que comieron frutas durante los ultimos 7 dias.\n",
+    "* Porcentajes de niños junto a la frecuencia con la que no recibieron una alimentación adecuada durante los últimos 30 días.\n",
+    "* Relación entre los niños fumadores y el uso de tabaco en su entorno familiar.\n",
+    "* Cuáles son las edades más frecuentes en las que se consume alcohol por primera vez.\n",
+    "* etc.\n",
     "\n",
+    "De todas las preguntas que hicimos, nos concentraremos analizar y graficar los datos correspondientes a las primeras dos, pero los datos que nos ofrece esta encuesta los interrogantes que pueden surgir son muchísimos. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3eb82c51",
+   "metadata": {},
+   "source": [
+    "## 1° gráfico: Cantidad de veces que comieron snacks vs. cantidad de veces que comieron frutas.\n",
     "\n",
-    "#Vemos el contenido de la pregunta de código q61\n",
+    "Como primer interrogante a resolver, elegimos identificar la cantidad de veces que comieron snacks vs veces que comieron frutas.\n",
     "\n",
-    "pregunta_snacks = codigos_preguntas[codigos_preguntas[\"Codigo variable estandar\"] == \"q61\"]\n",
-    "print(\"Pregunta q61: \\n\", pregunta_snacks[\"Pregunta\"].to_string())\n",
-    "\n"
+    "Realizaremos ambos graficos, uno al lado del otro. Para ello, las preguntas que necesitamos son aquellas con codigo q64 (Snacks), y con codigo q61 (Frutas). Para que sea más sencillo acceder a cada una de las preguntas, haremos que la columna *codigo_variable_estandar* que contiene elementos no repetidos para cada fila pase a ser el índice de la tabla con **set_index(nombre_columna)**. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "47922ae6",
+   "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>pregunta</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>codigo_variable_estandar</th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>site</th>\n",
+       "      <td>Lugar</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>record</th>\n",
+       "      <td>Nº  de registro</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>q1</th>\n",
+       "      <td>¿Qué edad tienes?</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>q2</th>\n",
+       "      <td>¿Cuál es tu sexo?</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>q3</th>\n",
+       "      <td>¿En qué grado o año estás?</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                            pregunta\n",
+       "codigo_variable_estandar                            \n",
+       "site                                           Lugar\n",
+       "record                               Nº  de registro\n",
+       "q1                                 ¿Qué edad tienes?\n",
+       "q2                                 ¿Cuál es tu sexo?\n",
+       "q3                        ¿En qué grado o año estás?"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "codigos_preguntas = codigos_preguntas.set_index(\"codigo_variable_estandar\")\n",
+    "codigos_preguntas.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d6c5cecb",
+   "metadata": {},
+   "source": [
+    "Luego, utilizaremos **at[índice, columna]** para quedarnos con el valor que contiene la columna *pregunta* para el índice \"q64\"."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "a4adde0b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'Durante los últimos 7 días ¿cuántas veces comiste comida salada o snaks, como papas fritas, palitos, chizitos, kesitas, saladix?'"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pregunta_snacks = codigos_preguntas.at[\"q64\", \"pregunta\"]\n",
+    "pregunta_snacks"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "fdeef538",
+   "id": "6d618acd",
    "metadata": {},
    "source": [
-    "**Observaciones:**  \n",
-    "- Para asignar a una variable utilizamos el símbolo =, mientras que para preguntar por igualdad se usa ==.\n",
-    "- El \\n es una secuencia de escape de caracteres, la cual nos permite representar el salto de línea."
+    "Lo mismo hacemos con la pregunta de código \"q61\":"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "66a50d58",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'Durante los últimos 7 días ¿cuántas veces comiste frutas como manzanas, naranjas, bananas, mandarinas?'"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pregunta_frutas = codigos_preguntas.at[\"q61\", \"pregunta\"]\n",
+    "pregunta_frutas"
    ]
   },
   {
@@ -949,7 +1312,7 @@
    "id": "6095fe63",
    "metadata": {},
    "source": [
-    "Continuamos con la creación de los gráficos."
+    "### Gráfico \"snacks vs. frutas\" utilizando Matplotlib."
    ]
   },
   {
@@ -957,30 +1320,59 @@
    "id": "482d4e90",
    "metadata": {},
    "source": [
-    "Primero realizar un gráfico simple y despues ver como mejorarlo, qué hace groupby, qué hace count?"
+    "Para procesar los datos antes de graficarlos, agrupamos la tabla de resultados de la encuesta según la respuesta a la pregunta q64 (columna \"texto_q64\") usando **groupby(columna)** y contamos la cantidad de apariciones en cada grupo, seleccionando una columna que sirva como índice (en nuestro caso \"record\") y aplicandole la función **count**."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 15,
    "id": "f788a69b",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<AxesSubplot:ylabel='record'>"
+       "texto_q64\n",
+       "1 a 3 veces durante los últimos 7 días                  24684\n",
+       "1 vez al día                                             5319\n",
+       "2 veces al día                                           2058\n",
+       "3 veces al día                                            907\n",
+       "4 a 6 veces durante los últimos 7 días                   5130\n",
+       "4 o más veces al día                                     1427\n",
+       "Dato perdido                                              353\n",
+       "No comí comida salada o snacks en los últimos 7 días    17103\n",
+       "Name: record, dtype: int64"
       ]
      },
-     "execution_count": 20,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
-    },
+    }
+   ],
+   "source": [
+    "resultados_snacks_df = resultados_df.groupby(\"texto_q64\")[\"record\"].count()\n",
+    "resultados_snacks_df.head(10)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e90c4b66",
+   "metadata": {},
+   "source": [
+    "Realizamos un gráfico de torta, agregandole a la función **plot()**, el valor \"pie\" al parámetro *kind*."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "87b090db",
+   "metadata": {},
+   "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 640x480 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -988,7 +1380,8 @@
     }
    ],
    "source": [
-    "resultados_df.groupby(\"texto_q64\")[\"record\"].count().plot(kind='pie')"
+    "resultados_snacks_df.plot(kind='pie')\n",
+    "plt.show()"
    ]
   },
   {
@@ -996,20 +1389,22 @@
    "id": "ded77735",
    "metadata": {},
    "source": [
-    "Cómo podemos mejorar el gráfico?"
+    "¿Cómo podríamos mejorar el gráfico?\n",
+    "\n",
+    "Podríamos querer quitar la etiqueta \"record\" del costado, lo cual hacemos dandole el valor \"\" al parámetro *ylabel*. O también si quisieramos agregarle un título, lo hacemos con el parámetro *title* que recibe el título del gráfico. Y si nos resulta muy chico como se ve el gráfico, podemos cambiarle el tamaño con el parámetro *figsize*, que recibe una tupla de dos elementos: el primero corresponde con el ancho en pulgadas, y el segundo con el alto (también en pulgadas). \n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 17,
    "id": "0c5266d6",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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Xlp8CzAL6hJ1FRN5yY2XZlAfCDiEi4VMxK9KM4tLyI4EFwAlhZxGRw9QCF1eWTXkx7CAiEi4NMxBpQnFpeRR4CBWyItmoAH9RheKwg4hIuFTMijTtu8C7ww4hIk0agL/sbe+wg4hIeDTMQCSF4tLyD+NP1C4i2e9x4H1aVEGke1LPrEgjxaXl44Hfhp1DRFrtMuDrYYcQkXCoZ1YkiS74EslZDri8smzK42EHEZHOpWJWJBBc8PUE8K6ws4hIu+wBTqssm7I+7CAi0nk0zEDkbWWokBXJZX2BR4tLy48IO4iIdB4VsyJAcWn5NcDnw84hIh02DvhN2CFEpPNomIF0e8Wl5WOAeYB6c0S6jqmVZVN+H3YIEck8FbPSrRWXlucBc4FJYWcRkbTaA4ytLJvyWthBRCSzNMxAurtSVMiKdEV90RR7It2Cemal2youLT8FmI+/LKaIdE0fryyb8quwQ4hI5qiYlW4pGF4wD5gYdhYRyagqYFxl2ZTKsIOISGZomIF0V19FhaxId9ALuL+4tNzCDiIimaFiVrqd4tLyCfjFrIh0D5OBT4YdQkQyQ8MMpFspLi3Pxx8nOz7sLCLSqaqBCZVlU9aFHURE0ks9s9Ld3IkKWZHu6AjggeLScv3eE+li9I9auo3i0vKJwFfCziEioTkHuCPsECKSXhpmIN1CcWl5AbAAf6lLEem+DuEPN1gddhARSQ/1zEp38QVUyIoIxIAfhR1CRNJHPbPS5RWXlg8EXsGfokdEBOCSyrIpT4cdQkQ6Tj2z0h14qJAVkcP9QBeDiXQN+ocsXVpxafko4Jawc4hI1jkFuDHsECLScSpmpav7PpAXdggRyUrfLC4t16c2IjlOxax0WcWl5RcBl4WdQ0Sy1iDgi2GHEJGO0QVg0iUF67AvAE4NO4uIZLVq4OTKsimvhR1ERNpHPbPSVV2LClkRadkRwLfDDiEi7aeeWelyikvLC4E1wNCws4hITnDApMqyKYvDDiIibaeeWemKPo0KWRFpPQN+GHYIEWkf9cxKl1JcWn4U/gIJRWFnEZGcc3ll2ZR/hx1CRNpGPbPS1dyJClkRaR8v7AAi0nbqmZUuo7i0fACwEegRdhYRyVkXV5ZNeS7sECLSeuqZla7kdlTIikjH3BF2ABFpG/XMSpdQXFreE9gEHBl2FhHJaQ4YW1k2ZWXYQUSkddQzK13FLaiQFZGOM9Q7K5JT1DMrOa+4tDwPfwaD48POIiJdwiGguLJsyhthBxGRlqlnVnLe9/N+eflxtj0v7Bwi0mXE8Mfgi0gOUM+s5D6vaJ5zTNzgBs37ct3NfV92o0eHHUlEct4uYGhl2ZQDYQcRkeapZ1Zym1d0NnC6GXknRrae83DsW6OXxj5WcW30mZeNRCLseCKSs44Ebgw7hIi0TD2zktu8ooeAq1M9VOeiG/8Qf/fGH9R/aFI1hT07OZmI5L5XgZMqy6boD2ORLKZiVnKXV3QsUAk0O17WOfa+kBi/5Kt1N5/8OkcN6pRsItJVXFVZNuVvYYcQkaZpmIHksttooZAFMKPooujSC1+Kfeqopwq+MPtUW7u6E7KJSNegabpEspx6ZiU3eUWGv3Ttce05fJfrtbSs/ppDf41PPh3M0htORLqYkZVlU9aEHUJEUlPPrOSqC2lnIQtwpFWN/37+r89YG5ta+eW8P88q5FBNGrOJSNdybdgBRKRpKmYlV300HY0UWP0JH897/PyVsZtqfpX/wxcGsmt7OtoVkS7lI2EHEJGmaZiB5B6vqBB4AyhKd9POUbvKDZ3/5bpbBix1w09Od/sikrPOqiyb8nLYIUTkndQzK7novWSgkAUwo2B0ZNO5/4rddfKC2G2L3x95cQHoLz4R0VADkWylnlnJPV7RY/gFbac46PLX/yb+v6//rP6K0w9RUNhZ5xWRrLIdGFxZNiUedhAROZyKWcktXtFRwOtAfmefOuFs538TZyz/et3UMTvpO6Czzy8iobu0smzKk2GHEJHDaZiB5JqrCaGQBYiYO2pK9OXJ82P/r/e/C7764mirXB9GDhEJjYYaiGQh9cxKbvGK5gBnhR0DwDncdvou/Ebd9ZHyxFmnhp1HRDJuPzCwsmyKpvITySIqZiV3eEXDgXVhx0ilxhWs+0X9e7f9Iv6+M+rIKwg7j4hkzIcry6Y8HHYIEXmbhhlILvlg2AGa0sNqT/pc/t/PWx2buuf/8u+d0Y99u8LOJCIZoaEGIllGPbOSO7yiF/BX/sp6zlGzxA1fUFp3y5A1bugJYecRkbSpA46pLJuiP1hFsoR6ZiU3eEW9gXPCjtFaZvSYGHnl/CcKSotnx26ff0lkwZKwM4lIWuQD7w47hIi8TcWs5IqLCWkWg44wwwbbm6f/quBHE1bGblx9W/Sxl/Korws7l4h0yMVhBxCRt6mYlVzxnrADdNQRdmhkaf5D566J3bDznrzpM4qo2hN2JhFpFxWzIllEY2YlN3hFrwJdauypcxxY4EYs/FLdx45/1Q0+Puw8ItImJ1SWTakMO4SIqGdWcoFXNIIuVsgCmNHz9MiaC54t+Pxxswo+/fJFkcXLws4kIq2m3lmRLKFiVnLBpWEHyCQzIsdFdpx5f8E9pyyP3bTy5uh/5kSJ14edS0SapWJWJEuomJVckPPjZVurlx0c/bX8P569JjZ123fyfjOjNwf2hp1JRFIqCTuAiPg0Zlaym1dUCLwJHBF2lDA4x/45idGLvlx/y7CN7pghYecRkcOMqyybsjzsECLdnXpmJdudTzctZAHM6H1OdOWFLxR8btALBZ+de25kuX5ximQPDTUQyQIqZiXbnRd2gGxgRrQ4su2sPxV8Z+yy2C0V10efmhshEQ87l0g3p2JWJAtomIFkN6+oHPjfsGNkozoX3fzneMmG79d/+NQD9OgVdh6Rbmgv0L+ybIr+sBQJkXpmJdtNCjtAtsq3+HFT856+YHns5viD+WUzhtiO18POJNLNFAGnhR1CpLtTMSvZyys6DhgYdoxsZ0bRhdFlF84q+PTRzxTcMfsMW7Uy7Ewi3cgFYQcQ6e5UzEo2U69sG5iRNzyy9Zy/xr45eknsY0uviT47z0gkws4l0sWdEnYAke5OxaxkM31810597cD47+b/9ow1samb78z748weHKoOO5NIFzU27AAi3Z0uAJPs5RU9QTdaMCGTEo49zycmLr2z7qYRW+l/TNh5RLqQg0AvXQQmEh71zEo20zCDNIkYfS+OLr5wduz2/k8WfPGlibZuTdiZRLqIQuCksEOIdGcqZiU7eUXFwFFhx+hqzMgfEdly7qOxr49YGPv4kiujM+aDPp4R6SANNRAJkYpZaTczu8HMBmeoeY2XzbD+tn/CD/J/efqa2NTKL+X9ZWYhh2rCziSSo1TMioRIxWxIzOx3ZrbdzEJfntTMiluTw8weMLMrg9uXAmc65zI1t6mGGHSSmNWf8Im8f1+wMnZT9fT8H804mt07ws4kkmNUzIqESMVseB4ALg07RAccA3wqg+2PymDbkkLEXP9LowsufDk2rU95wZdfHGevrgs7k0iOUDErEiIVsyFxzs0EdjX1uJkVmdlGM4sE93ua2WYzyzezYWb2hJktNLNZZjYy2GdJ0leNmV3YqM3iYP9Fwdc5zWU0371mtsbMngGOTnr4BmB8sN8vzGyBma0ws7vb9YK80/A0tSNtZEZsTGTjef+O3XnS/NgnFl0eeWlh2JlEstzw4tLywrBDiHRXKmazlHNuL7AEaChILwOedM7VAb8CbnfOTQI+D/w8OGaCc24C8DVgATC7UbPbgXc7504FrgZ+2kKMK4ARwGjgeqCp4verzrnT8CcPv9DMOjaJuFdkwIkdakPSYoDtPfWnBfdNWh2b+spn8x55sYC6Q2FnEslCUfRpkkhoVMxmt4fxi06ADwMPm1kv/KLyETNbAvwSGNRwgJmdBNwDfCgofJPlA782swrgEfwitTkXAH9xzsWDsbHPNbHfh8xsEbAYGNOKdlsyGOjRwTYkjQqtbvin8x49b3Xshn335v90Rn/27gw7k0iW0VADkZDkhR1AmvUY8B0zOxL/gqjngJ7AnqAH9jBBoftX4GPOua0p2vsssA1/eEAEf7LvDjGzE/B7h093zu02swfw513siGEdzSWZETE34LLo3AunROYeXOZOnFVa97HBq9zx+nmJqJgVCY16ZrOYc64KmA/8BHg86CHdB2wws6vgrXGt44NDfgfc75yb1USTRcBW51wC+Cj+R2PNmQlcbWZRMxsEXJRinz7AAWCvmQ0E/qcNT7EpGmKQ5cwoHB959fz/FHz5xLmxaQsujby8KOxMIiHTH3UiIVExGxIz+wswBxhhZlvM7OYmdn0YuC743uBa4GYzWwqsAN5nZscDVwI3JV0E1niu1p8DU4PjRuIXoc15FFgHrAR+H+Q9jHNuKf7wgtXAn4GXWmizNYamoQ3pBGbYMbb7tOkFPzl1ZeyGNZ+MPvpSPvW1YecSCcHRLe8iIplgTov/SLbxin4DNFXcS5aLO9v2WOKc1XfXXX/KHnr3CzuPSCdZU1k2ZWTYIUS6I/XMSjY6LuwA0n5RcwOviL504eLYx2N/L/j6zJNsS2XYmUQ6gXpmRUKinlnJPl7RSjTNTZfhHInX6b/grrobYs8mJo1v+QiRnOSAWGXZlMazyIhIhqlnVrKRema7EDMix9qbZ/y24IfjV8RuWvXx6L9nR4nXh51LJM0MGBB2CJHuSMWsZBevqBDoFXYMyYyednDUl/P/cs6a2NQd38v75Qt9qNobdiaRNNJQA5EQqJiVbNM77ACSeXmWGHR13ozJS2O3Rh8u+MbME+z1TWFnEkkD9cyKhEDFrGSbPmEHkM5jRq8zI6sveK7g80NmFnxm7gWRpRVhZxLpAPXMioRAxaxkGxWz3ZAZkaGR7Wf9vuB74ypiN6+4KfrfORES8bBzibSRilmREKiYlWyjYQbdXG+rGXNX/h/OXhu7fuu38n47oxfV+8LOJNJKKmZFQqBiVrKNemYFgDxLDLku79kLK2K38Kf8b88Yatu2hJ1JpAUqZkVCoGJWso16ZuUwZvQ5N7riwhkFnx30XMHn5pwVWbEi7EwiTVAxKxICFbOSbdQzKymZET0x8sbZDxV8e8zS2C0V10WfnmskEmHnEkmiP8ZFQqBiVrKNillpUZFVj/tW/v1nrY1N3fL1vAdn9qSmKuxMIkBe2AFEuiMVs5Jt1LMhrZZv8aE35j15wfLYzfH787/3wmB2bg07k3Rr0bADiHRHKmYl26hnVtrMjKKLoksnvxT71FFPF3xh9mm2ZlXYmaRbUs+sSAhUzEq2yQ87gOQuM/JPirx2zt9id49aHLt16Yeiz88D58LOJd2GilmREKiYlWxTF3YA6Rr6WdX47+f/+oy1sakbv5L3p5k9OFQddibp8lTMioRA//Ak29SGHUC6lgKrL7489kRhcWzWgn/t/8Sbuwv6HBl2Juma4kTeCDuDSHekYlayjXpmpd22R6Pbl8YKtiwoLNy/rLAgsjEvv+jo7bgzKi/a0ifxnhOPOXph3oC8neeEnVO6LM2BLBICFbOSbVTMSovejER2Li2MbVlYGNu3NBajMj+vaF8kcpwzOxo4OpJw9ZcscguuqBz/+u6BHzm2Pu+IKa5+7tPxKOeFnV26tHjYAUS6IxWzkm1UzMpb9kQiu5fGCjYvKCzcs7SwgA35+X32RiJDnNlRwFGN9++/z71x/bOJNSdtO77nmhG3RHYc2+9SAJc4sCPec1c91qtHpz8J6U60iIdICFTMSrZRMdsN7Y3Y3opYbOPCwtjeJbFY4tWC/N57IpEhCb+ntV9Lx5++NrHko88mavoc7D94+dhb85YNPPZUzN66wLW26rFVtUcP6Q2a2EAySsWsSAhUzEq2UTHbhe0327ciVrBpQWHh7sWFscT6/Pxeu6ORYxNmxwCntKWtHgfdvg+9mFj87kVuiFnP41eMvnHZyn4jB2J2fPJ+ifrt6/vk0W9L1J2Q1icj8k41YQcQ6Y5UzEq2UTHbBRwwq1oRK9i4sDC2e3FhLP5Kfn7PXdHo4LjZYGBsR9oettWtu+mp+BvDX2diIpJ/xpqTPzzvjYFnHoXZhan2r616dHePY0ZtwxjXkfOKtMLesAOIdEcqZiXbqJjNITVm1SsLCjYuLIy9ubgwVr+uIL/nzmh0cBwGYzYmXeeJxl3dpQvd/A++lOjV6yCnOOzEV0+4bPbGoZechEVSFrEA8drVC83VjN/bOzYXDqUrjkhTVMyKhEDFrGQbFbNZ6JBxcFVBwcaFhYU7FxXG6tYW5B+xMxo9ph6GYDYqU+cdsMe9PvWZxLrTXnGjI45zALYMPv/ldcM/OMBF8s9v7ljnEvG6A0/1Oa7nqIUrI4faNIRBpJ1UzIqEQMWsZJuqsAN0Z7VwaI3f07pzUWGsdk1BQY8dedGBdTAUsxHAiIyHcM6dvdotvvb5RN2AvZxmMBhgZ/+xS1eMuiEaz+txZmuaqT84ezbUn++OPGYNtrcos6FFANgTdgCR7kjFrGSbbWEH6A7qoG5dQf7GRYWFOxYWxmpXFxTEtr1dtJ4MnNzZmXrWuL1Xz0wsvXipOy4/zqkN2/f1HrquYuytew7F+p3e2racO7Q/fnD+yIJIj11vHFHfJzOJRd5BPbMiIVAxK9lGy0GmUT3Uv1KQv3FRLLZ9UWHs0KpYQeyNaN7RtcZQzIYDw8POeNJrbs1NT8W3n/gGkwwuaNheU9j/tWVjP155oOfgs5On2WqNugNPLAJ34clFZ8yYYwc0xEA6i4pZkRComJVso2K2HeIQ35Cfv2lRYWzbwsLYwZUFBbGtedGjDpkdj9kwYFjYGZPl1btDl81zC943N1HU8xBjSRq+UJvfc9eKUTdV7O434izMjm1r24n43tcSdevPBIgX9T+IHWhxnlqRNFExKxICFbOSXby9e/GKagCt1JRCAhKV+XlbFsViWxf2KKxZWVCQ/3pe9KiDZsWYnQBk9VyqA3e5LTc+k1g/Yb0bE4Fzkx+LRwqq15z84flvDDxjQlPTbLVGXdWjlcCxfQuOXr8htkfvI+lMKmZFQqBiVrLRNqA47BBhcuA25eVtWVwY27qwMFa9PFaQ/1pe3pE1ftE6FBgadsZWc86dt8It/MgLCdd/P5MMhhz2MBZ/9YT3zt449N3NTrPVGom6zStdYtc5AGP6nrvpCdvcoTltRdpIY/5FQqBiVrLRG3SjYnZLXvS1JbHY1vk9Cg8sLyiIbsnPO7LaHx5wHHBc2Pnaq1e12/2RGYllk5e54rwEp6XaZ8vg8+euG/7BgS1Ns9VatQceqwcMSNT06pmHMSAd7Yq00qawA4h0RypmJRttDTtAJryeF926JBZ7bUFh7MDyWCyyKT/vyANmQ4NxoW0eG5qtRm1yK298Or7r+O2cZpCyp3VH/3FLVo6amh/P63FWus5bf3DJXNyhswCGHDFiyZr8NxLpalukFQ56nrc97BAi3ZGKWclGOX0R2LZodNvSWMFrC3oU7l8WK4hszMvvWxWxoZgNAgaFnS8T8uvdwcvnugWXv5w4skcto5vab1/voeuWjf343tpY35Q9te3lXLy2vuaFt17b0f3Oqf6HVXT69GLSralXViQkKmYlG+VEMbsjGtmxNBbbsqAwtm9ZLGYb8/P67o9EhjqzgcDAsPN1hsFvuo03Pp2oPGWDO8XgvKb2qyk8asuysbdubM80W61RX/3cHEhcCJBn+VX7Y1borGv+4SBZS8WsSEhUzEo2yqpidlck8uaywtjmBYWxfUtjMTbk5/XZF4kc58wGQPcbk2nOJS5c5hZ+eGbC+lUxyeD4pvatze+5a8Xomyt29z35LMyGNLVfR7hE9a54bcWEhvsnF52+ZHne5ngmziXSjI1hBxDprlTMSjbaHMZJ90Qiu5fFCjYtKCzcu7SwwG3Iz++zJxIZEhSt/cPIlE36HHBvXvd8Yvl5K9ywvATNrsYVjxRUrz75mvnbBp4+sSPTbLVG7YF/LydpsYWT+0zqOS8yt9v9kSGhU8+sSEhUzEo2WpvJxvdFbG9FLLZpYWFsz5JYLLG+IL/3nkjk2IQ/PEAT7DcybkNi+Q3PJPYO2dn0BV0NEhap31B82ZyNQ999cken2WqNRHzHBlf/2jkN93vm9d2yK+9QgTOXkV5gkWaoZ1YkJCpmJRttAA4BsY40UmW2f4Xf07p7cWEsvj4/v9euaGRwwr8Qa1xaknZRBXWu+orZiUVT5rujCuto1VytWwZfEEyzlZeWabZao7bqnztIWihiXL/zX1mWt9E66/wiSdQzKxISFbOSfby9CbyiddC6Iqra7MCKWMHGhYWxXYtjsfi6gvyeu6LRQXF/yqsxmQ3btQzZ4Tbc9FRi85hNbnxzF3Qly8Q0W60Rr31lMYn9ZyRvG9JzRPGzkRmdGUOkwZqwA4h0VypmJVutoVExe9CsZmVBfuXCwsJdiwtjdWsL8o/YGY0OjsOxmDU5HZQ0L5Jw8ZKlbsGHZibyi6qZaK1cEndf7+PXLht76750T7PVGs65RN2B/x62VO3AwuKKNyNVhQlzJ3V2Hun2dnqe93rYIUS6KxWzkpWWxQrmLyiMHbOoMFa3tqDgiB3R6MB6OA6zUWFn6yr6VrkdH302sfKcVe6kqOPM1h5XU3jUlmXjPr7xwBGDMjLNVmvED86dDXWH9RyP63f+7sV5GxOAilnpbBVhBxDpzlTMSla6dvAxG4Fzw87RFU18JbHs+mcTVYN3tXxBV7LOmGarNZyrq64/OHd48rYI0UNHxgaN3xxZszOsXNKtLQs7gEh3pmJWspV+OaRRYa2r+uBLicWXLnADY/Wc0pZj45GC6tUjrpm37ejTT830NFutUXfgyfngDssxrM/4RbsiVQPjlhgWVi7p1tQzKxIiFbOSrdaShhkNurvjt7n1Nz0V3zJyCxMN2jTLQMIi9a+e8N45m45718lYZHKGIraJS+x/I1G39h1z3I4sOjPv5byNm4ETQ4gloj++RUKkYlayUsXUivpxD45bBUwIO0uuiSRc/bsXuflXvZjo0aeGCUCbeys3H3vh3FeGfaBTp9lqjdqqf75Co1kWCqM9d/SI9p64MbJjfUixpHtLAMvDDiHSnamYlWy2ABWzrXbkPrft+mcTq85c40ZGHWe3p40d/U9ZsnLU9Z0+zVZrJOpfX+3iO85pvH1M33NW7o1UF9dbYkQYuaTbe8XzvJqwQ4h0ZypmJZvNAW4JO0S2O31tYsl1zyUOHrOb0wwmt6eNvb2L11SM/dj+MKbZaq3aqn/VAO+YPaG417hBs6PrNgDHd34qEQ0xEAmbilnJZi+FHSBb9Tjo9l31YmLJJYvcsQXx9vdeV/c4akvF2Ns2HTjimLMxy9qVs+oPVczD1ZzRePuRBYPW5kXyT94Q3V4XRi4R/D+6RSREKmYla1VMrVgz7sFxbwL9w86SLU7c6tbd9FR860mvc6rBBe1tpza/15vLR9+8Yk/fk0KdZqs1nIvX1Vc/OyDVY+OOvGDrPqvpWWdxrfQmYZkZdgCR7k7FrGS7OcBlYYcIUzTu6i5d6OZ/8KVEr14HOYUOLAoQjxQcWD3iIwu2HX3aRMzaXQx3pvqamXMg8Y6shsUHFg4dPTu6biVwbAjRRKqAxWGHEOnuVMxKtptNNy1mB+xxr099JrHutFfc6IjjHRc+tYU/zdblczYdd/EILBL6XLGt5RIH98YPLR6b6rGhvUYvMoucvj76xpGdnUskMNvzvHjYIUS6OxWzku1mhx2gUznnzlrtFl/3fKJuwF5OMxjc0SY3H3vhnFeGfWBQtk2z1Rp1Bx5fQhOrlI3pe079AQ5uq6U+ZbEr0glmhR1ARFTMSvabB9QB+WEHyaSeNW7v1TMTSy9e6o7Lj3NqOtrccdQpi1eOnBqL5xW2a5qusCXiuzYm6jelzJ4fie3tlddv4st56+ZhDOzsbCIBjZcVyQIqZiWrVUytqBn34LhFwJlhZ8mEk15za256Kr79xDeY1JELupLt7XPCmooxH9tfGyvK2mm2WqOu6tGtNDHd1siiM5eZ2fmvRN/o3cmxRBocwv9jW0RCpmJWcsHTdKFiNq/eHZoy3y14/5xEUc9DjAXSMtl/dY8Bm5eN/fjm6iyfZqs14nUblrnE3iYXbhjee2LfGmp3HqTulM7MJZJkvud5B8MOISIqZiU3PAHcGXaIjhq422254enEKxPXu7ERODdd7dbm93pz+ZibV+wpOukszI5LV7thcc65uqrHm/y/qXd+/40F0cJxC/LWz8LIuXHA0mW8EHYAEfGpmJVc8DKwFygKO0ibOefOW+kWfuT5hOu/n0kGaZvTNR4pOLBqxLULth896dRcmWarNeKHFsyGuiaL/VP6nb8BOH5N9PUjOjGWSGOPhx1ARHwqZiWtzCwfmAb8zDmXlilrKqZW1I97cNwzwAfT0V5n6FXtdn9kRmLZ5GWuOC9BWseuJixSv/6E983efFzJqFyaZqs1nKurqa958YTmdhl8xPDhB6nbU0OthhhIWN5A42VFsoaK2Qwy/yPf3wMDAQf8yjn3k3BTtZ6Z3QCc5pz7ZAv7VQb77QS+ASxNVyGb5D/kQDE7apNbeePT8V3Hb2eSNTGlVHs5cFuOnTz3lWFXDHKRvC7TE5usrvqZeeCafN0GHzF8acSiE1ZFN72IcV5nZhNJUu55ngs7hIj4VMxmVj1wh3NukZn1Bhaa2dPOuZVhB8sEM+sBLHfOPZSB5svx/yDIugub8uvdwcvnuoWXv5zo16OW0Zk4x/ajxi9eNfL6nJ1mqzVcompHonbVpOb2Gdv3vCqA1XmvxTonlUhKj4UdQETeFgk7QFfmnNvqnFsU3N4PrKLRsptmVmRmG80sEtzvaWabzSzfzIaZ2RNmttDMZpnZyGCfgWb2qJktDb7OCbZfZ2bzzGyJmf3SzKLB1wNmttzMKszss41zmtl7zexlM1tsZs+YWbPzdppZfzN7ysxWmNlvCApM51wN8Mtgn15m9qyZLQrO+76OvJYVUyu2AQs60ka6DXrTbfrKQ/EZf7gnXn31rMS5mShk9/Y5Yc2LZ39n4fKxt06M5xVmpFDOFrVV/1oN9Grq8ajlVfctOHp8LfX7D3BIQwwkLDX4M6yISJZQz2wnMbNiYCL+xUxvcc7tNbMl+B9JP4+/dOuTzrk6M/sVcJtzbp2ZnQn8HCgBfgrMcM5dYWZRoJeZjQKuBs4Njv05cC2wAjjWOTc2yNE3RbwXgbOcc87MbgG+CNzRzNP5OvCic+4bZjYFuDnFPgeBK5xz+8zsKGCumT3mnOvIR3P/Bk7vwPEdZs4lLqxwCz48IxHpV8Ukg6GZOE8wzdam6iOOOSfXp9lqjUT9G+tcfFuzS/ae1GfSYjM7d3X0tdlYx5b3FemAZz3Pqwk7hIi8TcVsJzCzXsDfgc845/al2OVh/EL0eeDDwM+DY84BHkmqZRo+Wi0BrgcIxqbuNbOPApOA+cH+PYDt+AXgiWb2M/yP6p9Kcf4hwMNmNggoADa08JQuAD4QnL/czHanetrAd8y/yj6B3yM9EP/CifZ6BH9Mbqfrc8C9ed3zieXnrXDD8hKckanz1Ob33rl8zM0r9xQN7xLTbLVWbdU/9wHR5vY5uc9pPQBWRbfoEyUJk4YYiGQZFbMZFlzd/3fgT865fzSx22P4hd+R+AXpc0BPYI9zbkJrTwU86Jz7cooM44H3ALcBHwJuarTLz4AfOeceM7PJgNfKczbnWmAAMCnoKa4ECjvSYMXUitXjHhy3GL+Hu1OM25BYPvWZxN7jdnJaui/oSlYfjVWtHnHtwu0DTu1S02y1RvzQqgW46mZnfDgi2ntrYbTnhDrqD+y3g+M7K5tIIw6/g0BEsoiK2Qwyv4v0t8Aq59yPmtrPOVdlZvOBnwCPB72t+8xsg5ld5Zx7JGjrFOfcUuBZ4BPA/zUMMwi2/cvMfuyc2x4Uxr2BA0Ctc+7vZrYG+GOKCEXAa8Htqa14ajOBjwDfMrP/Afo10eb2oJC9iCaWJW2HP5PhYragzlVfMTuxaMp817+wjrGZPFfCInXrT3z/nM1DLupy02y1hnOJeF31U6neP4cZ0++8NWY2aG106zKMLnsRnGS9WZ7ndeTTJRHJABWzmXUu8FGgIhgXC/AV59x/Uuz7MP7H6JOTtl0L/MLM7gTygYeApcCngV+Z2c1AHPiEc25OsN9TwcVkdfjzvdYA9zdcYAa8o+cWvyf2kWC4wHNAc/N8AtwN/MXMVgCzgU0p9vkT8G8zq8C/cGt1C2221kPA98nArAZDdrjKm55ObByz0U0wMjvtkwO3echFc9af+P5ju+o0W61RX/PiSxBv8fkf33P0cQAro1syH0qkab8PO4CIvJN17Hockc437sFxM/DH7XZYJOHiFy11C6+elYgWHeBU64Spv7YfNWHRqpEf7RHPKxyV6XNlM+cO7Tu0575D+MNRmjSgcMjKkkHXjq4nfvCB2Av1WNMzHohkUA1wjOd5qa57EJEQqWdWctGf6WAxW1Tldlz/XGLFOSvdyVGXuQu6ku3pc8Lq5WNvra4t6HNqZ5wv29VV/WcxrRiHPK7fBTsBXom+sQzrnJ+VSAr/VCErkp1UzEouegT/orX8th448ZXEsuufTVQN3sVpdviQjoyp7nH0pmVjP76l+oiBZ3eHabZaIxHfsyVRv+GslvYzInVHxYaMAVgR3VyX+WQiTXow7AAikpqKWck5FVMrdo17cNyT+HPytqiw1lV98KXE4ksXuIGxejptsv3a/N47K8bcsnJv0bCzMcvIfLS5qq7q0U34U8I164Te4xaZ2ZkJEnW77UBGL8YTacbrwDNhhxCR1FTMSq66nxaK2eO3ufU3PR1/beRmJhic30m5GqbZWrB9wKmTuts0W60Rr9u43CV2t2rRg1FFfuftq5HtSzGanb5LJIP+7HlePOwQIpKailnJVY8BW4FByRsjCVf/7sVuwVWzErE+NUwEhnVWIH+arSvmbB4yeRQWmdxZ5801dQf+3aqrTgsiPXb1zCuaCFCRt0krLkmYNMRAJIupmJWcVDG1on7cg+N+C9wJcOQ+t+36ZxOrzlzjRkYdLY7FTCd/mq2SuetPfN/g7jzNVmvUH1w0B1fbqnliR/c9u8LMLkyQqH/T9o/JdDaRJizwPG952CFEpGkqZiWX/WrSusT/Xv9sovaY3Z13QVey7QMm+tNsRWOayL8FztUfqq+Z2eI42QYn9j5lAMDGyM5lGJoBQsLyk7ADiEjzVMxKzqqYWrF51chRm4H3dfa59/Q5cVXF2I/V1GmarVarr35uDiQmt2bfvgVHr8+PxEYDVORtPJDRYCJN24q/oI2IZDEVs5LrfkYnFrMHegzcWDHu469X9zj6LE2z1XouUf1mvHZ5q5chHtfvgi3AMIdLbLd9IzMYTaQ5P/c8T1PCiWQ5FbOS00atXvXsqpGjVgEZXU3rUH7vHcvH3LIqmGbr+EyeqyuqrXpsBa1f6CJxTI8TTgbYHHlzOdZ506mJJDkITA87hIi0TMWsdAU/BX6RiYbro7GqVSOuW7BjwMTTNM1W+yTqd7zq4q+3aiougON6jlwcscgkgGV5G3dnLplIs/7ked7OsEOISMtUzEpX8ABwN3B0uhpMWKTulWFXzNlyrKbZ6qjaqkffBE5s7f5j+p57CMDh3Dbbc3LGgok07//CDiAirRMJO4BIR41aveogfu9shzlwm4aUzJ5x/o9f3zKk5AIsMiAd7XZX8dq1i3BVp7d2/zwr2N8nv/8EgNcju1c4O3weYZFO8qym4xLJHeqZla7i58CXgN7tbWDbgFMXrR55XY94NNbqj8Slac65RN2BJ3q15ZgRRactNbPzAJZFN76ZmWQiLfpx2AFEpPVUzEqXMGr1qt2rRo6aDnyhrcfuKRq2qmLMLZpmK83qD86ZDfXnteWYk/pMeqv4fT2yu9VDE0TSaLHneeVhhxCR1lMxK6Ews77ANc65dF649UPgk0CP1ux8oMfAjcvGffz1Gk2zlXbO1VbFD758UluO6ZXXd0tBpMd4gDdszypnLqMzVIg04RthBxCRttGY2SxgZoVmNs/MlprZCjO7O+xMbWFmnpl9vhX7VSXd/SmQ1jFpo1av2gb8uqX9DhX02bFw4udmvnzG1wbXHDHwbBWy6Vd34IkF4Aa25Zix/c5fb8HPYlnexu2ZSSbSrCXAv8IOISJto57Z7HAIKHHOVZlZPvCimf3XOTc37GCZYGYDgb8552ZloPnvA7cChY0fqI/G9q8a+dGFO46aoGm2MsjF921N1L1yRluPG9JzxFvz926JvDk0valEWuUbnue5sEOISNuoZzYLOF9Dr2V+8HXYf6hmNtLM5iXdLzaziuD2JDObYWYLzexJMxsUbB9uZs8EPb6LzGxYsP0LZjbfzJY19AKbWU8zKw/2XW5mVzfOaWYfC45bamZ/N7MjmnteZnaCmc0xswoz+1bSQz2A7yQ9j1lBvkVm1qGLr0atXvUacF/ytoRFa9cOv3LmzPN+cGjHgImTMWvTRUnSNrVV/3wVaPa90djAHsUVUYsWA+ywfesS5k7IRDaRZizwPO/RsEOISNupmM0SZhY1syXAduBp59zLyY8751YDBWbW8Ev+auDhoCf3Z8CVzrlJwO+Abwf7/Am4zzk3HjgH2GpmlwAnAWcAE4BJ5vdSXgq87pwb75wbCzyRIuY/nHOnB+2tAm5u4Wn9BPiFc24c/hrnqWwH3u2cOzV4TumYYuu7wD4HbuNxF8+ecf6P3tgy5KILsMhRaWhbmpGo27LKJXa2+Q+ScX3P39Nwe1nextfSGkqkde4MO4CItI+K2SzhnIs75yYAQ4AzzGxsit3+il/wEXx/GBgBjAWeDorhO4EhZtYbONY592jQ/kHnXDVwSfC1GFgEjMQvbiuAd5vZ98zsfOfc3hTnHxv0olYA1wJjWnha5wJ/CW7/oYl98oFfB20+Aoxuoc0WjVq96s3tR024a8b5P1qzftgHznGRPH1k3UlqDzx2CGjTGOSIRQ8eGRv01pK1myI7h6Q9mEjzZnie92TYIUSkfVTMZhnn3B7gefye0sYeBj5kZif7u7p1+IXDCufchOBrnHPukmZOYcB3k/Yf7pz7rXNuLXAqflH7LTO7K8WxDwCfDHpa7ybFuNRUT6mFxz8LbAPGA6cBBa1os0XLx37s14lorE862pLWqT+09GXcwQltPW5Y7wmLzawIYJdVbYhbYnjaw4k076thBxCR9lMxmwXMbEAwVRVm1gN4N7C68X7OufVAHPgafmELsAYYYGZnB8fnm9kY59x+YIuZvT/YHgvGuD4J3GTBuFEzO9bMjjazwUC1c+6PwD34hW1jvfGHKuTj98y25CXgw8HtpvYvArY65xLAR4FoK9pt0bTpJdVAqoJcMsC5eF199fNtmr2gwciiM966EHVp3sZN6Usl0ioPe573UtghRKT9VMxmh0HA82a2DJiPP2b28Sb2fRi4Dn/IAc65WuBK4HtmthR/apmGMYsfBT4VtDsbOMY59xTwZ2BO8NH+3/CL1HHAvGCowteB5Au2GnwNeBm/SH1HsZ3Cp4FpwXmObWKfnwNTg+wjgQOtaLe17sfvaZYMq695YQ4kitt6XGG0544e0d4TG+5vjGxvV0Es0k7VQIvTCopIdjPnNAuJdF333fbcpcB/w87RlblEzZ5De38B0Letx07qf8mM4X0mXgiw16o3PxKbc1ya44k0507P877d8m4iks3UMytd2rTpJU+gYjaj6g48vpR2FLIAxb3GHtNwe1l046vpyiTSCq8CPwg7hIh0nIpZ6Q7+H/7HiZJmifiblYn6ze2aG/jI2KA1eZH8EQ33X41u09Rp0pk+53neobBDiEjHqZiVLm/a9JJK/HHAkmZ1VY9uw59erc1O6XfBGw2391vN63XEOzwtm0grPel5npatFekiVMxKd/Fj/Ll1JU3ita8udYl9Z7bnWMPqjy4c+lbxWhHdtA5r2/y0Iu1UB3wm7BAikj4qZqVbmDa9JA7cgj+1mXSQc87VHShv95zAx/cavdgsMqDh/ivRN/qlJ5lIi37seV5rZmMRkRyhYla6jWnTSxbhL7ErHRQ/OG821I1q7/Gj+55T33D7AIe211KfasU7kXRbjYYciXQ5Kmalu7kLqAw7RC5zrq6m/uDsE9t7fH4ktrdXXr+3FuVYnrdpNab/iyTj4sANnucdDDuIiKSXfoFItzJteskB/NkNpJ3qDjw1D9yg9h4/quisZWYWa7i/Lrq1d3qSiTTrh57nvRx2CBFJPxWz0u1Mm17yX+ChsHPkIpfYvy1Rt+a0jrQxrPeEvg23a6h98yB1p3Q4mEjzVqHlrUW6LBWz0l19GtgRdohcU1v1r7VAz/Ye3ye/f2VBtHBcw/0VeZtXYkTTEk4ktTgwVXPKinRdKmalW5o2vWQ7cD2g9ZxbKVG/da2Lbz+3I22M63fBxuT7a6Ov9+hYKpEW3eN53vywQ4hI5qiYlW4rWOpWy1m2Um3VP6vo2P8ZbvARw4Y13DlE3d5qasd3PJlIk1YCXtghRCSzVMxKd/dVQBeFtCB+aMV8XM2pLe/ZtMFHDF8WseiQhvurolsqsPatHibSCjXA1RpeINL1qZiVbm3a9JI64Bpgb9hZspVzifq66meO7Gg7Y/uetz/5/qq819q96IJIK0zzPG952CFEJPNUzEq3N216yQb81cEkhfqaWbMhPqzlPZsWtbzqvgVHvzWkoJb6/Qc4pCEGkikPeJ53f9ghRKRzqJgVAaZNL/kb8Muwc2Qblzi4N35o4ZiOtnNSn0lLzOyt+WTXRF+rwIg1d4xIO1WguaRFuhUVsyJv+wz+L0IJ1B34zxKgf0fbObnP6YcVriujr+n/HsmEKuAqz/Nqwg4iIp1Hv1BEAtOmlxwErgaqw86SDRLx3ZsT9ZVndbSdI6K9txZGj5jYcL+OePV+q9FCCZIJt3qetybsECLSuVTMiiSZNr1kFXATmn+WuqpHt0DHhwKM6XfeGjN76/+addGtyzCO6Gi7Io1M9zzvL2GHEJHOp2JWpJFp00seBr4edo4wxes2VrjEnrPT0dbxPUcfl3x/RXRzIh3tiiSZib+qn4h0QypmRVKYNr3km8Afws4RBuecq6v6d1r+bxhQeNzKaCTvrZkQ4iQO7bXqcc0dI9JG64ArPM+rDTuIiIRDxaxI024BZoUdorPFDy2aA7UdnsEAYFy/83ck338l+sZSjN5N7S/SRruAKZ7n7Qo7iIiER8WsSBOmTS+pBa4AXgk7S2dxrv5gfc3MoeloK0Kk9qjYkMN6YZdHN9elo20RoBa/R3Zd2EFEJFwqZkWaMW16yZvAFGB32Fk6Q331My+DG9Lyni07ofcpi83srZXDEiTqdlvV2HS0LQLc4nnezLBDiEj4VMyKtGDa9JK1wAeALt2r6BIHdsZrV05sec/WGVV05mH3X41sX4ZRlK72pVv7pud53XJMu4i8k4pZkVaYNr3kBeDWsHNkUm3VY6uAPuloqyDSY9cReUWnJm9bnrdJ8/dKOvzZ87y7wg4hItlDxaxIK02bXvIA4IUcIyMS9dvXu/jWc9LV3ui+Z1eYWf5b7ePiO23/6HS1L93W48ANYYcQkeyiYlakDaZNL7kb+EHYOdKtturR3UA0Xe2d2Hv8gOT7myI7lmEdXxZXurVngCs9z+vSw31EpO1UzIq00bTpJV8Afh52jnSJ165eiDtwWrra61tw9Pr8SMFhvbDL8jbtT1f70i3NAt7ned6hsIOISPZRMSvSPp8E7g87REc5l4jXHXgqLeNkG4zrd8Hmw86BS+ywvSPTeQ7pVl7Gn0tWY65FJCUVsyLtMG16icNfVOGPYWfpiPqDs2dD/UlpbDJxTI8TRiRv2Bx5c7kzjk7jOaT7WAxc6nmeevZFpEkqZkXaadr0kgQwlRxd9ta52qr4wflp7TE9rufIJRGLDEreVhHd2C3m6JW0Wwlc4nnenrCDiEh2UzEr0gFBQXsD8PuQo7RZ3YH/LgQ3oOU9W29M33Nrku87nHsjsiedPb/SPVQAF3uetzPsICKS/VTMinRQUNDeCDwYdpbWSsT3vp6oW39GOtvMs4L9ffL7H7bowtbI7pXOGJzO80iXNxu40PO8N8IOIiK5QcWsSBoEBe1NwP+FHKVV6qr+WQn0SGebI4pOX2pmRyRvWxbduCOd55Au7wng3Z7naWiKiLSailmRNJk2vSQxbXrJZ4HPAS7sPE1J1G1e6RJvnp3udk/qc2qvxttej+w+Md3nkS7rIeByzVogIm2lYlYAMLPzzSxtK0BlCzMrNrOPdOY5p00v+TFwNZCVc2LWHnisHrB0ttkrr++WgkiP8cnbttme1QlzQ9N5HumyfgFcqwURRKQ9WlXMmlnUzBab2eMdOZmZTTazJWa2wsxmdKStzmBmN5jZvZ1wnvebWZuW+kxnNjPrD9wFLE3a9oKZnRbc/kqj/Wen47ytyHVR8H5p+DpoZu9v4ZhiM1se3I4C9wELOyHuYaZNL3kEeDeQVR+X1h9cMhd36JR0tzu23/mvmNlhBfLSvI3b0n0e6ZK+6Xne//M8LxF2EBHJTa3tmf00sKojJzKzvvirJl3unBsDXNWR9rKRmeW189D3A2GuWz8GuM05d6CJxw8rZp1zndKD65x73jk3wTk3ASgBqoGn2tDEcOB7zrk1mcjXkmnTS2YB5wIbwzh/Y87Fa+trXhjU8p5tN6TniBMab9sSeVO9stKceuCTnufdFXYQEcltLRazZjYEmAL8ppl9PmZm881sqZn9vfFFIIGPAP9wzm0CcM5tT9HObWZ2T9L9t3ofzew6M5sX9ND9Muh1w8wuNbNFwbmfDbb1NLPfBfsvNrP3BdvHJLWxzMzeMWWQmd1oZmvNbB5+IdKw/QEzuzLpflXwfbKZzTKzx/DnRcTM/mlmC4Me6FuTjzGzbwdZ55rZwOCj/cuBe4Jcw4KvJ4I2ZplZs3OBBr2RzwXP6VkzGxpsv8rMlgfnm5niuMlm9rhzbqZzbr2Z3WtmNzTapwzoEWT7U4rnPsPM/mVmr5pZmZldG7zGFWY2rCP5GrkS+K9z7h3j6cxsUtDGUmBa0kODgC8G+5xhZnOC98NsMxsRbG/xPdER06aXrALOxp/8PVT11c/PgcTx6W73mB4nVEQteli7O2zfKwlz7yhwRQK7gPd4nndf2EFEJPe1pmf2//ALguY+AvqHc+5059x4/B7cm1PsczLQz/yPrxea2fUp9vk7cEXS/auBh8xsVHD73KCXLg5ca2YDgF8DHwzO3dDb+1XgOefcGcBF+IViT+A24CdBG6cBW5JPbmaDgLvxi9jzaH1v6anAp51zJwf3b3LOTQrO8SnzP8YH6AnMDbLOBD7mnJsNPAZ8IeiFXA/8Crg9aOPz+D3azfkZ8KBz7hTgT8BPg+13Ae8Jznd5K5/LYZxzpUBNkO3aFLuMx39dRwEfBU4OXvffALenMd+Hgb808dj9+K/X+CYeB1gNnO+cmxic9zvB9mbfE+kwbXrJVuAC4Ml0t91aLlG9K167bEIm2h7b77w9jbcty9uY9tdRuowVwOme5z0XdhAR6RqaLWbN7DJgu3OupTGHY4MexArgWvyPrRvLAybh9/K+B/iamZ2cvINzbgfwqpmdFRSAI4GXgIuDY+eb2ZLg/onAWcBM59yG4PhdQVOXAKXBvi8AhcBQYA7wFTP7EnC8c+6wCd6BM4EXnHM7nHO1wMMtPO8G8xoyBD4V9BLOBY4DGnr7aoGGcccLgeLGDZlZL+Ac4JEg/y/xexibczbw5+D2H/ALcfBfuwfM7GNAtJXPpa3mO+e2OucOAet5exhABW8/vw7lC/7IGEeKYtD84St9nXMNPbtNrcZVhP+aLgd+zNvv0ZbeE2kxbXpJFXBZcO5OV3vg38vxX4O0ilj04JEFg94xBndTZOex6T6XdAn/Bs72PO/VsIOISNfRUs/sucDlZlaJP21KiZmlWov+AeCTzrlx+D2bhSn22QI86Zw74Jzbid8zmaon7SHgQ8AHgUedcw7/yusHG8ZPOudGOOe8ZnIbfm9tw/5DnXOrnHN/xu8BrAH+Y2YlLTz/ZPUEr5eZRYCCpMfeGmtqZpOBdwFnBz2Fi3n79agLng/4vcupxthGgD1J2Sc450a1IedbnHO3AXfiF9QLk3qI3/GcAql+bi1JvmI/kXQ/Qern15Z8DT6E/17oyJXO3wSed86NBd5L8Fw7+J5ok2nTS+qnTS/5HP57e1+mztNYIr5zg6t/Le1TcQEM6z1hsZkdViTvsqoNcUto1S9p7LvA+z3P2x92EBHpWpotZp1zX3bODXHOFeN/zPucc+66FLv2BraaWT5+z2wq/wLOM7M888fUnknqi8oeBd4HXINf2AI8C1xpZkcDmNmRZnY8fs/nBWZ2QsP2YP8ngdvN/KurzWxi8P1E4FXn3E+DPI17lF4GLjSz/sFzSb5IrRK/dxj84ie/iedZBOx2zlUHY13PamK/ZPvxX0Occ/uADWZ2VZDZzKy5j8/BXzHnw8Hta4FZwbHDnHMvO+fuAnbgF43JNgKjzSwW9HBe3ET7dcHr0V7tzdfgGpoYYuCc2wPsMbOG3t6m3n9FwGvB7RsaNrbiPZF206aX/AN/SMPSlvZNh9qqR3fQ9Pu1Q0YWnfmOP1iW5W3MigveJGvUANd4nvcVzVggIpmQrnlmv4ZfCL6EPzbxHZxzq/BXd1kGzAN+45xbnmK/3fhF7vHOuXnBtpX4PXhPmdky4GlgUDAs4VbgH8HH+g3DAr6J/8t7mZmtCO6D38O3PPj4fizw+0bn3gp4+B89v8Thxfav8Qvdpfgfmzd15f8TQJ6ZrQLK8AvuljwEfCG4OGkYfkF2c3CuFfjFfXNuB24MXpuP4s8+Af5Y4Yrgo/XZNCqenHObgb8Cy4PvTV2k9Cv81/JPrXguacsH/sVj+EVuc1O53QjcF/xcm5o/9fvAd81sMYf3GDf7nsiUadNL1uG/j+7P5Hnita8sJrE/rcvWNiiM9tzRI9rr1MbbKyM7jsnE+SQnrcEfVvBQi3uKiLSTvf2pt4iE4b7bnrsJuJc0Ly/rnEsc2nPvWqhrdjaM9prU/5IZw/tMvDB5216r3vxIbE5TPezSvfwR+ITneVVhBxGRrk0rgImEbNr0kt/h99K+ks524wfnzs5UIQtQ3GvsOy5MXBbdqAt75ABwk+d5H1UhKyKdQcWsSBaYNr1kKf6Y7EfS0Z5zddX1B+cOT0dbqfSPDV6bF8k/ufH2V6PbmrqIT7qHBcBEz/MyOnxGRCSZilmRLDFtesm+adNLPoQ/jndHR9qqO/DkfHAZG7s6rt/5Wxtv20/N1jriqablk64vgT9bwTme560LO4yIdC8aMyuShe677bmj8BeXuKatx7rE/jcO7f11HyDVSnwdZlj9VcWf320WGZC8fXbemhkr87Zc2NRx0mWtBW7xPG9W2EFEpHtSz6xIFpo2vWTntOklHwHeD7yjF7Q5tVX/fIUMFbIAx/cas7hxIQuwPvpGv0ydU7JSHf5KeuNVyIpImJqd1F5EwjVtesm/7rvtuZn4K4dNbWn/RP3rq118xzmZzDS679n1jbdVc2jHIerHZvK8klXmAR/zPG9Z2EFERNQzK5Llpk0v2T1teskNwP8Cm5vbt7bqXzVk8N91fiS2t1dev3fMLVuRt2k1pv9PuoEDwGfx545VISsiWUG/fERyxLTpJf/FX9jhF/gX3Bym/lDFPFzNxExmGFV01lIzizXevi66tWcmzytZ4QlgjOd5/6eVvEQkm+gCMJEcdN9tz40H/g+YDOBcvO7Qnp9tgcQJmTzvFUM/vbwgWnjYcIIaanf9KTarD6ZhS13Uq8CXPM/7W9hBOkuw8uA5zrk/h51Fujczey+wPlgJtcswswnAYOfcf9LRnnpmRXLQtOklS6dNL7kIuBKorK+ZOTvThWyf/P6VjQtZgJV5W1aqkO2S9gCfB0ZlqpA1M2dmP0y6/3kz8zJxrtYysyhwH7CwE8412MxSvrZm9oKZnZah8042s8fbeEzG8mSCmd1gZveGcF7PzD6fprZOAm7BXxa6YVulmR1lZn3N7P8lbW/yvZRuZnatmS1J+koExWlzx7z1njOznsAP8eelTgsVsyI5bNr0kr8Do+K1K/8F7M3kucb1u6Ay1fY10dcKM3le6XR1+NPCDfc874ee59Vm8FyHgA+Y2VEZPEdbDQe+55xb0+KeHeSce905d2WmzyM5axRwk3MunuKxvsBbxWxnvpecc39yzk1wzk0APgpscM4taUMTY4HPOue2pyuTilmRHDdtesnBOx76+4+BYfizHmSi+HCDjxj2jhXFDlG3t5raUzJwPgnHP/HHxX7a87w3O+F89cCv8C8qO4yZFZvZc2a2zMyeNbOhKfbpZWb3m1lFsN8Hg+3XBNuWm9n3kvavMrN7zGyFmT1jZmcEPY6vmtnlwW6DgC+mOFfUzH4QtLnMzG4Ptl9sZouD8/2uYUx50IP23aDnaoGZnWpmT5rZejO7Lek5Lg9u9zCzh8xslZk9CvRIOvcvgjZWmNndqV5IM/uUma0Msj0UbDvDzOYE+Wab2YgUx6XcJw15JpjZ3CDPo2b2jqn7zOyq4PVcamYzg203mNk/zOwJM1tnZt9v6bxmdnqQfamZzTOz3o3OMyV4jkelOmeKXF8ws/lB9ruTflarzOzXwfmfMrMeqY5v6TVI9bNqdNwNZnavc+4x59ybZva4mU1utFsZMCx4f93T6L10g5n908yeDt6HnzSzzwU/47lmdmRH8jVyDZByHzO71MxWm9ki4ANJD40Cbg32ea+ZvRxke8bMBgbbL7S3e34XN/6ZNqZiVqSLuOPhx9+84+HHPweMAP4MpG1A/OAjhi+NWHRI4+2roq8txyhI13kkNLOByZ7nXRHCCl73AdeaWVGj7T8DHnTOnQL8Cb+3uLGvAXudc+OC/Z4zs8HA94ASYAJwupm9P9i/J/Ccc24MsB/4FvBu4ArgGy3kvBUoBiY0ZDKzQuAB4Grn3Dj86S4/kXTMpqD3alaw35XAWUCqAvATQLVzbhTwdfzlrRt81Tl3GnAKcKGZpfoDshSYGGS7Ldi2GjjfOTcRuAt/XuDGmtqno3l+D3wpyFMRtNHYXcB7nHPjgcuTtk8ArgbGAVeb2XFNndfMCoCHgU8H7bwLqGloyMyuCF6b/3XO7WzmnA37XwKcBJwR5JhkZhcED58E3Be8f/YAH0zxnFrzGqT6WbVVKf5Y2gnOuS+keHwsfgF5OvBt/J/lRGAOcH0a810N/KXxxuDfxq+B9+K/d5pakfJF4Kwg20O8/Yfk54Fpwb+f80n6maaiYlaki7nj4ccr73j48WuBicBfSTHzQVuN7XteVartq/Ney+9o2xKq54ASz/PO9TxvRhgBnHP78H+pfqrRQ2fj/1EG8AfgvBSHvwu/GG5oazf+L+8XnHM7nHP1+IVwQzFSiz8rA/i/vGc45+qC28UtRH0X8MugTZxzu/D/cNzgnFsb7PNg0rkAHks618vOuf3OuR3AITPr26j9C4A/Bm0vA5KnPvtQ0Lu1GBgDjE6Rbxl+gX0dfo83QBHwSNBj9+Pg2Maa2qfdeYI/TPo65xreU41flwYvAQ+Y2ceAaNL2Z51ze51zB4GVwPHNnHcEsNU5Nz/Iuq/hZ4T/B82XgCnBe6O5cza4JPhaDCwCRuIXsXD4x+kLaeY908JrkOpnlW7PJ73f9gL/DrZXAMXpyGdmZ+IXyctTPDwS//Va5/yZBv7YRDNDgCfNrAL4Am+//14CfmRmnwpyNvs6qZgV6aLuePjxpXc8/PjV+B/p/A5/LGSbRS2vum/B0RMab6+jvqqKgxpikJv+A5zjed7Fnuc9H3YY/Jk5bsbvOc2kOvf2FD4J/DG7OOcSZGYRoUONz5V0v1XnM7MT8HupLg56ysqBVOPUp+AX9qcC880sD/gmflEzFr+HLNVxrdmnPXla5Jy7DbgTOA5YaGb9g4eSX6s4kNfO864HegMnt+KcDQz4bsOYUOfccOfcb5vK1cqn2liqn1Wyeg6vz9rz+jZ+vyW/F1vK3VK+Bh8mRa9sG/0MuDf4ZOPjBM/VOVeGf/FbD+AlMxvZXCMqZkW6uDsefnztHQ8/fjP+mNqfAdVtOf6kPpMWm1mvxttXR1+vwNr3S0xC4YB/AKd6njfF87w5YQdqEPRy/hW/oG0wG/+XJcC1+B/VN/Y0MK3hTjDmbx7+R9BHmT8zwTVAOnqdnwY+3vCLPRh3uAa/l6thPPlHO3CumcBHgrbH4n+UDtAHf7GKvcF4wv9pfKCZRYDjnHPP4/dEFgG9gu+vBbvd0MR5m9qn3Xmcc3uB3WZ2frAp5etiZsOccy875+4CduAXmE1p6rxrgEFmdnrQZu+k4msj/lCA35vZmFae80ngpob/88zsWDM7uplcKTX1GjTzs0pWCUwws0gwxOKMFKfYj1+ot0sH8zW85z5EE+Nl8YevFJvZsOD+NU3sl/z+e2uVy+DnVOGc+x4wH7+nt0maTkekm7jj4cc3A5/64dWXefh/Ad+Of7FLs0YUnZ7yIodV0S1pzScZU4Pfe/JDz/Oyea7KHwKfTLp/O3C/mX0Bv+i4McUx3wLuCz4ijwN3O+f+YWalwPP4vWzlzrl/pSHfb/B7+JaZWR3wa+fcvWZ2I/7H9Hn4v3Snt7P9X+A/31XAKoKpwZxzS81sMX5xsBn/49fGosAfg4+ODfipc26P+RdPPWhmd+L3ZKbS1D4dyQN+YTLdzI7An6s41c/vHvOnnzLgWWAp/jjVd2jqvM65WjO7GviZ+Rdk1eAPCWk4brWZXYv/M3pvE+dMPs9TZjYKmGNmAFXAdfjvr7ZK9Rqk/Fk1Ou4lYAP+EItV+MMdGr8eb5rZS8F7/78kDbfphHzgD0nY7Jx7NVXDzrmDZnYrUG5m1fh/jKYqvj38n81u/GFPDVNMfsbMLsLvSV4RPMcmadEEkW7qh1dfVoDf8/U5YHyqfY7I67P1siG3DQz+Cn9LPfGaB2IvJLCMfyws7bcWv7B6wPO83S3tLCKSq1TMigg/vPqyC/A/4r0SOKJh+xlH/e8LJ/QeN7nx/quiW15+KX/NmZ2XUFopjn/R0S+AZzzP03/wItLlqZgVkbf88OrL+uD31t4EnHnl8Xesj0byhjXe728Fc17aE6k+t9MDSlO24n8M/ivP8zT+Q0S6FRWzIpLSr6+bOvp/htxyA/5FIMc2bI+TOHR/7PlDGH1CCycAu/Av6PoL8ILneR2egk1EJBepmBWRZm0pnRUBLsTvsf3A2ujrr87MX5Xq6lrJvCr8YQR/AZ70PK9d062JiHQlKmZFpNW2lM7Keyp/6bmbojuvAt5PUo+tZEw18BR+Afu453ltmlpNRKSrUzErIu3ieZ4Bp+EXte/BX3FMc1enx0r8lar+C8zyPO9QC/uLiHRbKmYlZ5nZuUDEOZdqMvUuz8xuB+53zqVcarazeZ53JDAZuBh/nseTmz1Aku3Fn/PyCeAJz/M2h5xHRCRnqJiVtAhW2lkAvOacu6wTzlcE/A34gHNuf6bPl0lmNhn4fEuvm5m9EOy3wMxuw1+vuizzCdvH87wh+IXtxcBF+Gtwi+81YG7wNRuY53leptZoFxHp0rQCmKTLp/FXKumsK9xHA5/M9UK2PYIFDGqzuZAFCKaIejD4wvO8gcCkRl/docCtwV/Bp6F4navps0RE0kc9s9JhZjYEv2D5NvC5VD2MZjYBfzWiI4D1wE3Oud2N9nkA/xf/ROBo/LlOrwfOBl52zt0Q7PcL4PSgrUecc18PtpcBlwP1wFPOuc8ntR3BX65vQsPSfGa2DjgPf7m86cDQYPfPOOdeCtbm/hn+uFCHv1Tm383sEuBuIBY8lxudc1XNnT843xnAT4DC4Hne6Jxb01TPbLA04/34q3OtBgYD04Ke2UrgNOfcTjP7J/764oXAT5xzv2r8+mcrz/OOxi9qT8Nf+304MIwOrDkeojj+muorGn9p1gERkcxRMSsdZmZ/A76LX4Ck/LjczJYBtzvnZpjZN4A+zrnPNNrnAfyC7Br8ovAPwLn4BcF84Gbn3BIzO9I5tytYC/05/PXcX8P/uHakc86ZWd/G60mb2U+AJc65+83sTODbzrl3mdmfgZ875140s6HAk865UWb2PSDWkNPM+uGvW/0P4H+ccwfM7Ev4Re19rTh/H6DaOVdvZu8CPuGc+2AzxezngLHOuZvM7BT83r2zUhSzDa9Hj+B1utA592YzP7KsF/TiDsMvbocn3T4OOArIDyHWIeAN/AUKGr424C8buxZ41fO82hByiYh0axpmIB1iZpcB251zC4OiLNU+RfjjO2cEmx4EHmmiyX8HxWAFsM05VxG0sQIoBpYAHzCzqfi9pcPwhxysBA4CvzWzx4HHU7T9MHAXfm/nh4P74F+sNNrMGvbrE/TKvivYDwDn3O7g+Y4GXgr2LwDm4F/A09L5i4AHzeykIHtLBdkFwE+Dcy8L/iBI5VNmdkVw+zjgJCDXi9ltwDb8PxBSPV6EX9QOCL4flXS/N/5rm4//80n+3nA7jj/lVU3wPfmrYdubJBWunuftSv8zFRGRjlIxKx11LnC5mf0vfq9qHzP7o3Puuna21zAFUSLpdsP9PDMrBr4InBp8tP8gUBj0dp6Bf7HRlfi9tSWN2p4DDDezAfjTSX0r2B7B7/E8mLxzUnF72GbgaefcNe94oOXzfxN43jl3RfA8Xkh1grYI/oB4F3C2c646uEissKPtZjvP8/bi/wGxPuwsIiISLs0JKR3inPuyc26Ic64YvxfzucaFrHNuL7DbzM4PNn0UmEH79CXoOTOzgcClAEFPapFz7j/AZ/HHmTbO6oBHgR8Bq5I+in8KuL1hv2B8L8DTwLSk7f3wL+A518yGB9t6mtnJrTk/fs/sa8HtG1rxXGfiLyWLmY3FH1Oaqs3dQSE7EjirFe2KiIh0GSpmpbNMBe4JPiqfAHyjne0sDb5WA38GXgq29wYeD9p/EfhcE8c/DFzH20MMAD4FnGZmy8xsJXCbmcWB/wVuMLMaM3sdKHHO7cAvRP8SnGsOMDI4/1NmtqmZ838f+K6ZLaZ1n4r8AuhlZqvwX6+FKfZ5Ar/HehVQhv+6fBfAzC43s9JUDZtZVsxNKyIi0lG6AEwkBTOrcs71Cm4fTVA4N8yc0MQxk2nFfLHpZGZR51y8rRmSn5+IiEguU8+sSAucc9uBW4FPmq/YzGaZ2aLg65xg1zLgfDNbYmafNbNCM7vfzCrMbLGZXdS4bTObbGYzzazczNaY2fRgGjHM7BIzmxOc45FgKANmVmlm3zOzRcBVZnapma0O7n8gqe0bzOze4PYJQVsVZvatpH3MzO4xs+XBY1dn6nUUERHJBBWzIq3gnHsVf1quo4HtwLudc6cCVxPMOACUArOccxOccz/GH2/rnHPj8Kcbe9DMUl2cdQb+mN3R+LMzfMDMjgLuBN4VnGcBhw9deDPY/k/g18B78edrPaaJp/AT4BdBlq1J2z+AP+xjPP6FZPeY2aBWvSgiIiJZQMWsSNvlA78Opg97BL8ITeU84I8AzrnVwEbg5BT7zXPOvRoMF/hLcNxZvD0F2BL8McfHJx3TMOZ3JLDBObcuuMDtj01kOTdoG/z5e5Mz/sU5F3fObcO/MO/0JtoQERHJOpqaS6QVzOxE/LlJtwNfx58DdTz+H4QHmzm0NRoPXHc0MwVY4EAaziMiIpLz1DMr0oJgXtrpwL1B72cRsNU5l8CfZiwa7Lqfw5dhnQVcG7RxMv5yuWtSnOKMYExrBH/Ywos0MQVYimNXA8VmNiy431Tx+xJvLwBxbaOMV5tZNHieFwDzmmhDREQk66iYFUmtR3Ah1wrgGfy5aO8OHvs5MNXMluJ/zN/QS7oMiJvZUjP7bLBfJBiO8DBwg3PuEO80H7gXWIW/POqjzUwBdphgoYdbgfLgArDtTTyfTwPTgizHJm1/NMi9FH9p4C86595o/qURERHJHpqaSyREYUznJSIi0pWoZ1ZEREREcpZ6ZkVEREQkZ6lnVkRERERylopZEREREclZKmZFREREJGepmBURERGRnKViVkRERERylopZEREREclZKmZFREREJGepmBURERGRnKViVkRERERylopZEREREclZKmZFREREJGepmBURERGRnKViVkRERERylopZEREREclZKmZFREREJGepmBURERGRnKViVkRERERylopZEREREclZKmZFREREJGepmBURERGRnKViVkRERERylopZEREREclZKmZFREREJGepmBURERGRnKViVkRERERylopZEREREclZKmZFREREJGepmBURERGRnKViVkRERERylopZEREREclZKmZFREREJGepmBURERGRnPX/AcBTGJjvehHrAAAAAElFTkSuQmCC\n",
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\n",
       "text/plain": [
-       "<Figure size 720x504 with 1 Axes>"
+       "<Figure size 1000x700 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -1017,32 +1412,31 @@
     }
    ],
    "source": [
-    "cant_snacks = resultados_df.groupby(\"texto_q64\")[\"record\"].count()\n",
-    "labels_snacks = list(cant_snacks.index)\n",
-    "fig = plt.figure(figsize =(10, 7))\n",
-    "plt.pie(cant_snacks, labels = labels_snacks)\n",
+    "resultados_snacks_df.plot(kind='pie', ylabel=\"\", figsize=(10,7), title=\"Comieron snacks\")\n",
     "plt.show()"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "9fbd8f6f",
+   "id": "693f3e91",
    "metadata": {},
    "source": [
-    "Y si queremos ver los procentajes que representan cada uno...."
+    "Y si queremos ver los procentajes que representan cada uno...\n",
+    "\n",
+    "Le agregamos el parámetro *autopct* con el valor '%1.2f%%', lo cual indica que queremos que se vea en formato de porcentaje, con dos decimales."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 18,
    "id": "27590819",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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Q6XT46KOPmikpEV0LudgBiIiIqGGqqqrQo0cP3H///Zg4cWKLXcfNzQ1z5sxB9+7d4ebmht27d2P27Nlwc3Ozu9JibywWCyQSCaRS5xx7WLx48TUdHxAQ0ExJms+SJUvw5ptv2r42m83o0aMH7rzzzms677x58zBv3rxrjUdEzcQ5f2oTERG1QaNGjcLChQtx2223NfgYjUaD8ePHIygoCO7u7ujbty+2bNlS7zEJCQmYPHkyunTpgqioKNx7770YMWIEdu3aVef+FRUVUKvVWL9+fa3ta9asgYeHh+1Z08zMTNx1113w9vaGr68vxo8fj7S0tFrHfPXVV+jSpQuUSiXatWuHOXPm2F4rKyvDzJkzERAQAE9PTwwdOhTHjx+3vX78+HEMGTIEHh4e8PT0RO/evXH48OErvs/k5GQMHDgQKpUK8fHx2Lx5c63X6xqxTUxMhEQiseW+OPL522+/IT4+HkqlEhkZGTh06BBuvvlm+Pv7w8vLC4MGDcLRo0drnV8ikeDLL7/EbbfdBldXV8TFxeG3334DAKSlpWHIkCEAAB8fH0gkEkyfPh0AYLVa8cYbbyA6OhpqtRo9evTAzz//fMX3WZeMjAyMHz8e7u7u8PT0xF133YX8/PwmfZZpaWmQSCRITEy0bSsrK4NEIsH27dsv23/79u2YMWMGysvLbaOvCxYsAHD5rdQSiQSff/45br31Vri6uqJz587Yt28fUlJSMHjwYLi5uWHAgAHQaDS1rvHpp5+iffv2cHFxQceOHbFixQrba4IgYMGCBYiIiIBSqURISAjmzp17xc/Ky8sLwcHBtj+HDx9GaWkpZsyYUc8nXPO9ERERAVdXV9x2220oLi6u9fqCBQvQs2dP29dX+55pbG4iahwWYyIiIgem1WoxevRobN26FceOHcPIkSMxduxYZGRkNPgcx44dw969ezFo0KA6X/f09MStt96KVatW1dq+cuVKTJgwAa6urjCZTBgxYgQ8PDywa9cu7NmzB+7u7hg5ciSMRiOAmjLz6KOP4sEHH8TJkyfx22+/ITY21na+O++8EwUFBVi/fj2OHDmCXr16YdiwYSgpKQEATJkyBWFhYTh06BCOHDmCZ555BgqFos7MVqsVEydOhIuLCw4cOIDPPvsMTz/9dIM/k0vpdDq89dZb+PLLL3H69GkEBgaisrIS06ZNw+7du7F//37ExcVh9OjRqKysrHXsK6+8grvuugsnTpzA6NGjMWXKFJSUlCA8PByrV68GAJw7dw65ublYsmQJAOCNN97AN998g88++wynT5/Gf/7zH9x7773YsWNHg/JarVaMHz8eJSUl2LFjBzZv3owLFy5g0qRJtn0a81k21oABA/D+++/D09MTubm5yM3NxRNPPHHF/V977TXcd999SExMRKdOnXDPPfdg9uzZePbZZ3H48GEIglDrFyhr1qzBvHnz8H//9384deoUZs+ejRkzZmDbtm0AgNWrV+O9997D559/juTkZKxduxbdunVrcP6lS5di+PDhiIyMvOI+Bw4cwAMPPIA5c+YgMTERQ4YMwcKFC+s979W+Z641NxFdhUBERERtDgBhzZo1TTq2S5cuwocffnjV/UJDQwUXFxdBKpUKr776ar37rlmzRnB3dxeqqqoEQRCE8vJyQaVSCevXrxcEQRBWrFghdOzYUbBarbZjDAaDoFarhY0bNwqCIAghISHC888/X+f5d+3aJXh6egrV1dW1trdv3174/PPPBUEQBA8PD2HZsmVXfV+CIAgbN24U5HK5kJ2dbdu2fv36Wp/rtm3bBABCaWmpbZ9jx44JAITU1FRBEATh66+/FgAIiYmJ9V7PYrEIHh4ewu+//27bBkB44YUXbF9rtVoBgO0zq+v61dXVgqurq7B3795a53/ggQeEyZMnX/H6kZGRwnvvvScIgiBs2rRJkMlkQkZGhu3106dPCwCEgwcPCoLQuM8yNTVVACAcO3bMtq20tFQAIGzbtq3O9/L1118LXl5e9eYUhMs/o3379gkAhKVLl9q2fffdd4JKpbJ9PWDAAGHWrFm1znvnnXcKo0ePFgRBEN59912hQ4cOgtFobND7u1R2drYgk8mEH374od79Jk+ebLveRZMmTar1nl9++WWhR48eVzzHv79nriU3EV0dR4yJiIgcmFarxRNPPIHOnTvD29sb7u7uSEpKatCI8a5du3D48GF89tlneP/99/Hdd99dcd/Ro0dDoVDYbgVevXo1PD09MXz4cAA1t+ampKTAw8MD7u7ucHd3h6+vL6qrq6HRaFBQUICcnBwMGzaszvMfP34cWq0Wfn5+tuPd3d2Rmppqu4328ccfx8yZMzF8+HC8+eabl91ee6mkpCSEh4cjJCTEtq1///5X/Uzq4uLigu7du9falp+fj1mzZiEuLg5eXl7w9PSEVqu97HO/9Dg3Nzd4enqioKDgitdKSUmBTqfDzTffXOtz+Oabb+p9v5e6+N7Dw8Nt2+Lj4+Ht7Y2kpCQAjfssW9qln1FQUBAA1BopDQoKQnV1NSoqKgDUvL8bbrih1jluuOEG23u78847odfrERMTg1mzZmHNmjUwm80NyrJ8+XJ4e3tjwoQJ9e6XlJSEfv361dp2te+vq33PXEtuIro6Tr5FRETkwJ544gls3rwZ77zzDmJjY6FWq3HHHXfYbl+uz8UlZLp164b8/HwsWLAAkydPrnNfFxcX3HHHHVi1ahXuvvturFq1CpMmTYJcXvNXDa1Wi969e2PlypWXHRsQEHDVyaq0Wi3atWtX5zOrF2c3XrBgAe655x6sW7cO69evx8svv4zvv/++Uc9kX+piJkEQbNtMJtNl+6nVakgkklrbpk2bhuLiYixZsgSRkZFQKpXo37//ZZ/7v29PlkgksFqtV8yk1WoBAOvWrUNoaGit15RKZQPeVcM05rNs6OfUVJd+Rhc/57q21fe5XSo8PBznzp3Dli1bsHnzZjzyyCNYtGgRduzYUe/t4oIg4KuvvsLUqVPh4uLSlLdSr6t9zzQ1NxE1DEeMiYiIHNiePXswffp03HbbbejWrRuCg4Mvm/CqIaxWKwwGQ737TJkyBRs2bMDp06fx119/YcqUKbbXevXqheTkZAQGBiI2NrbWHy8vL3h4eCAqKgpbt26t89y9evVCXl4e5HL5Zcf7+/vb9uvQoQP+85//YNOmTZg4cSK+/vrrOs/XuXNnZGZmIjc317Zt//79tfa5OEPypftcOsFUffbs2YO5c+di9OjRtsnEioqKGnTsRRfLl8VisW27dIKvf38Ol44A1+fie8/MzLRtO3PmDMrKyhAfH2/b1tDPsimfk4uLS6331Zw6d+6MPXv21Nq2Z8+eWu9NrVZj7Nix+OCDD7B9+3bs27cPJ0+erPe8O3bsQEpKCh544IEGZThw4ECtbf/+/vq3hnzPNCU3ETUMR4yJiIjaCK1Wi5SUFNvXqampSExMhK+vLyIiIuo8Ji4uDr/88gvGjh0LiUSCF1988aojax9//DEiIiLQqVMnADXrJ7/zzjtXnQF34MCBCA4OxpQpUxAdHV3rVtIpU6Zg0aJFGD9+PF599VWEhYUhPT0dv/zyC5566imEhYVhwYIFeOihhxAYGIhRo0ahsrISe/bswWOPPYbhw4ejf//+mDBhAt5++2106NABOTk5WLduHW677TZ06dIFTz75JO644w5ER0cjKysLhw4dwu23315n1uHDh6NDhw6YNm0aFi1ahIqKCjz//PO19rlYNhcsWIDXX38d58+fx7vvvlvvZ3BRXFwcVqxYgT59+qCiogJPPvkk1Gp1g469KDIyEhKJBH/88QdGjx4NtVoNDw8PPPHEE/jPf/4Dq9WKG2+8EeXl5dizZw88PT0xbdq0q553+PDh6NatG6ZMmYL3338fZrMZjzzyCAYNGoQ+ffpAr9c36rNUq9W4/vrr8eabbyI6OhoFBQV44YUX6s0QFRUFrVaLrVu3okePHnB1dYWrq2ujPp8refLJJ3HXXXchISEBw4cPx++//45ffvnFNhv7smXLYLFY0K9fP7i6uuLbb7+FWq2udzItoGbSrX79+qFr165XzTB37lzccMMNeOeddzB+/Hhs3LgRGzZsqPeYq33PNDU3ETWQyM84ExERUQNdnMDo33+mTZt2xWNSU1OFIUOGCGq1WggPDxc++ugjYdCgQcK8efOueMwHH3wgdOnSRXB1dRU8PT2FhIQE4ZNPPhEsFstVMz711FMCAOGll1667LXc3FzhvvvuE/z9/QWlUinExMQIs2bNEsrLy237fPbZZ0LHjh0FhUIhtGvXTnjsscdsr1VUVAiPPfaYEBISIigUCiE8PFyYMmWKkJGRIRgMBuHuu+8WwsPDBRcXFyEkJESYM2eOoNfrr5j13Llzwo033ii4uLgIHTp0EDZs2HDZpGa7d+8WunXrJqhUKuGmm24Sfvrpp8sm36prEqmjR48Kffr0EVQqlRAXFyf89NNPdU4s9e8J1Ly8vISvv/7a9vWrr74qBAcHCxKJxPb/s9VqFd5//33b5xQQECCMGDFC2LFjxxXf67+vnZ6eLowbN05wc3MTPDw8hDvvvFPIy8sTBEFo0md55swZoX///oJarRZ69uwpbNq0qd7JtwRBEB566CHBz89PACC8/PLLdeb892dU10RfdZ37k08+EWJiYgSFQiF06NBB+Oabb2yvrVmzRujXr5/g6ekpuLm5Cddff72wZcuWK743QRCEsrIyQa1WC1988UW9+11q6dKlQlhYmKBWq4WxY8cK77zzTr2Tb13te6YpuYmo4SSCcMkDIUREREREREROhs8YExERERERkVNjMSYiIiIiIiKnxmJMRERERERETo3FmIiIiIiIiJwaizERERERERE5NRZjIiIiIiIicmosxkREREREROTUWIyJiIiIiIjIqbEYExERERERkVNjMSYiIiIiIiKnJhc7ABERUXOpNllgslgh/P21IAAQAAECBAEQAAiCALlMClcXGRQy/n6YiIiIWIyJiMiOWKwCSqqMKNIaUKyt+d+aP0YUaw3QGsyoMlqg+/t/9cZ/vtabLLAKV7/GpeRSCdQKGVQuMqgVskv+WQoPlQJ+bi7w/fuPn7sLfN2UtbapFLKW+SCIiIioVUkEQWjkXyOIiIiaRm+0ILNUh4xiXc3/luiQWaJHVqkOhZUGlOqMjS63YvJUyRHq44owHzXCfNQI9VYj7O+vw31c4eWqEDsiERERNQCLMRERNbusUh3O5VXiXH4lkvO1SCuuQmaJHkVag9jRWpWHSo4IX1fEBbojLsgDHYM80CHIA+G+akgkErHjERER0d9YjImIqMnKdEYk5VbifH4lzuZV4lxeBZLztag0mMWOZtfUChliA90RF+SOjkEe6BjsgW6hXvBzV4odjYiIyCmxGBMRUYOYLVacya1AYmYZjmWU4VhGKdKKdWLHciih3mp0D/NC9zBv9Aj3Qs9wb7i6cDoQIiKilsZiTEREdcqvqMaR9FIcyyjFsYwynMopR7XJKnYspyKTStAhyAMJEd7oE+mD/u390M5LLXYsIiIih8NiTEREAIByvQn7NMXYqynCnpQiaAqrxI5EdYjyc0X/9v64IdYP/WP8ePs1ERFRM2AxJiJyUtUmC46kl2J3ShH2phThVE4FLG1pSmiCRAJ0DPJA//Z+GNDeH9fH+MJDxZmwiYiIGovFmIjIieSW67HlTD42JxXgwIViGMy8NdqRKGQS9I3yxfDOQbg5Pgjhvq5iRyIiImoTWIyJiBxcUm4FNp/Jx+Yz+TiZXS52HGpFHYM8MDw+EMM7B6FnuDeXiCIiIroCFmMiIgdjsQo4mFpSU4aT8pBZohc7EtmBAA8lhnUKxMiuwbgx1h9ymVTsSERERHaDxZiIyEEczyzD2sRs/H48F0Vag9hxyI75ublgdLd2GN8zBL0jfTiSTERETo/FmIioDUsvrsLaYzn4NTEbF4o4izQ1XpiPGmN7hGB8zxB0CvYUOw4REZEoWIyJiNqYYq0Bf5zIxZpj2UjMLBM7DjmQjkEeGNczBLf3CkOwl0rsOERERK2GxZiIqA0QBAF7Uoqx8kA6tiTlw2Thj25qOTKpBEM6BmJKvwgM6hAAqZS3WhMRkWNjMSYismMlVUb8dDgT3x3MQFqxTuw45IRCvdWY1Dcck/qGI8iTo8hEROSYWIyJiOzQgQvFWHUwA+tP5cHItYbJDnAUmYiIHBmLMRGRnag2WfDTkSx8szcNyQVaseMQXVG4rxozBkRjUt9wuCnlYschIiK6ZizGREQiK6kyYvneNKzYn46SKqPYcYgazFMlxz39IjHjhijeZk1ERG0aizERkUjSiqrwv10XsPpoFqpNvF2a2i6FTIKx3UMwa2AMOrfjkk9ERNT2sBgTEbWyoxml+GLHBWw6kwcrfwKTg7kx1h+zBsZgUIcAsaMQERE1GIsxEVEr2ZVciA+3puBgWonYUYhaXI9wb8wfFochnQLFjkJERHRVLMZERC1sV3IhlmxJxuH0UrGjELW6nuHemDc8DkM6siATEZH9YjEmImohezVFWLzpPAsxEYCECG/MGxaHwSzIRERkh1iMiYia2dGMUryz8Rz2aorFjkJkd3pFeGP+8A4YyGeQiYjIjrAYExE1k+T8Sry5/iy2ni0QOwqR3RvQ3g/Pj+mMLiFeYkchIiJiMSYiulbFWgPe23Ie3x3MhIXTTBM1mFQC3JYQhidHdESwF9dBJiIi8bAYExE1kcFswdd70vDxthRUVpvFjkPUZqkVMsy8KRoPDWoPN6Vc7DhEROSEWIyJiJpg3YlcvLXhLDJKdGJHIXIY/u5KPH5zB0zqGw6ZVCJ2HCIiciIsxkREjXA8swwL153BoTTONE3UUjoEueOVcV3Rv72f2FGIiMhJsBgTETVAuc6ENzck4ftDmeBPTaLWMTEhFM+N6Qx/d6XYUYiIyMGxGBMRXcWaY1l4fV0SirRGsaMQOR1PlRxPjuyEKddFQMrbq4mIqIWwGBMRXUFqURVeWHsSe1K4HjGR2HqEe+P1CV3RNZTLOxERUfNjMSYi+heD2YJPt2vwyXYNjGar2HGI6G8yqQRTr4/E/93SAR4qhdhxiIjIgbAYExFdYp+mGM+vPYkLhVViRyGiKwjyVOKNid0wtFOQ2FGIiMhBsBgTEQHQGy14Y30SVuxP5+RaRG3EHb3D8NLYeHhy9JiIiK4RizEROb0j6aV44qfjSC3iKDFRWxPipcKbt3fHwA4BYkchIqI2jMWYiJyW0WzF4s3n8cVODaz8SUjUpk2+LhzPj4mHu1IudhQiImqDWIyJyCmdzinH//14HGfzKsWOQkTNJNRbjUV3dMeAWH+xoxARURvDYkxETsViFfDJthR88FcyTBb++CNyNBIJMGNANJ4Z1QkucqnYcYiIqI1gMSYip5FTpsfc747hcHqp2FGIqIV1C/XCh5MTEOXvJnYUIiJqA1iMicgpbE3Kx//9dBxlOpPYUYiolbgr5Xj9tq4Y3zNU7ChERGTnWIyJyKGZLFa8veEsvtydymWYiJzUnb3D8Or4rlC7yMSOQkREdorFmIgcVlapDnNWHUNiZpnYUYhIZLGB7vjongR0CvYUOwoREdkhFmMickibTufhyZ9PoFzPW6eJqIZSLsXLY7vgnn4RYkchIiI7w2JMRA7FbLHijfVnsXR3qthRiMhOTb4uHK+M68pZq4mIyIbFmIgcRpnOiEdXHcWelGKxoxCRnesV4Y3P7u2NQE+V2FGIiMgOsBgTkUM4l1eJWd8cRkaJTuwoRNRGBHoo8dnU3ugV4SN2FCIiEhmLMRG1eRtP5+HxHxJRZbSIHYWI2hgXmRSvTeiCSX353DERkTNjMSaiNksQBHywNQXvbz3PpZiI6JpMvT4SL42Nh0LG546JiJwRizERtUk6oxlP/HQcf57MEzsKETmI66J98cXU3vB2dRE7ChERtTIWYyJqc/IrqjHj60M4k1shdhQicjAxAW5YPuM6hPu6ih2FiIhaEYsxEbUpyfmVmP71IWSX6cWOQkQOyt/dBUun9UWPcG+xoxARUSthMSaiNuNgaglmfXMY5XqT2FGIyMGpFTJ8ODkBw+ODxI5CREStgMWYiNqEP0/mYv4PiTCarWJHISInIZNKsGBsPKb2jxI7ChERtTAWYyKye1/tTsXCdWdg5U8rIhLB7IExeGZUJ0gkErGjEBFRC2ExJiK7JQgC/vtnEv63K1XsKETk5Mb1CMHiu3pAzuWciIgcEosxEdkls8WKJ346jrWJOWJHISICAAzvHISPpyRAKZeJHYWIiJoZizER2R2TxYrHVh3DhtNco5iI7MtNcf74YmofqF1YjomIHAmLMRHZFYPZgke+PYqtZwvEjkJEVKe+UT74anpfeKgUYkchIqJmwmJMRHaj2mTBrG8OY1dykdhRiIjq1SPMC8vvvw7eri5iRyEiombAYkxEdqHKYMb9yw7hQGqJ2FGIiBqkU7AHVjzQDwEeSrGjEBHRNWIxJiLRVVSbMP2rgziaUSZ2FCKiRonxd8OqWdcj2EsldhQiIroGLMZEJKpynQlTvzqAE1nlYkchImqSGH83/DC7P0eOiYjaMC7GR0SiqTKYMe3rgyzFRNSmXSiqwr1fHkBplVHsKERE1EQsxkQkimqTBfcvO4TEzDKxoxARXbNz+ZW4d+kBlOtNYkchIqImYDEmolZnNFvx0LdHONEWETmU0zkVmP71QVQZzGJHISKiRmIxJqJWZbEKmPf9MWw/Vyh2FCKiZncsowz3LzuEapNF7ChERNQILMZE1GoEQcCTPx/H+lN5YkchImoxB1JLMOubwzCYWY6JiNoKFmMiajUv/noKvxzNFjsGEVGL25VchDmrjsFi5eIfRERtAYsxEbWKdzaew7f7M8SOQUTUajafyceC306LHYOIiBqAxZiIWtx3BzPw0bYUsWMQEbW6FfvT8cl2/vwjIrJ3LMZE1KK2nSvAi2tPiR2DiEg0izaew9pjfIyEiMiesRgTUYs5lV2OOSuPwsxn7IjIiQkC8NTPJ7A3pUjsKEREdAUsxkTUIrLL9Lh/2SFUGTkrKxGR0WLF7G+P4GxehdhRiIioDizGRNTsKqpNmPH1QRRUGsSOQkRkNyqrzZjx9SHkluvFjkJERP/CYkxEzcpkseKhFUdwPl8rdhQiIruTW16NGV8fQpXBLHYUIiK6BIsxETWrF9eewl5NsdgxiIjs1tm8Svznh0QIAudfICKyFyzGRNRsVuxPx/eHMsWOQURk9zadycfizefFjkFERH9jMSaiZnEorQSv/n5a7BhERG3Gh3+l4I8TOWLHICIisBgTUTPIK6/Gw98ehcnC2wKJiBrjyZ9OICmXM1UTEYmNxZiIronBbMHsb4+gSMsZqImIGktvsuDBFYdRpjOKHYWIyKmxGBPRNXlx7SkczywTOwYRUZuVWaLHY98dg8XKu26IiMQiETglIhE10Yp9aXjxVz5XTG1T+f6fULZjOTx6j4Pv8AcBAMUbPkJ1eiIs2hJIFCooQzvDZ/B0KPzCr3iest0rUZW0C5bKQkikcrgEx8J74H1QhnQEAJjL81G253tUZ5yAtaoUMndfuMUPgdeAuyCRKWz7FP2xGMb8FLgExcL/1sch9wqyXaPg51fg1m043Dre0IKfCInt4cHt8fTITmLHICJyShwxJqImOZpRilf/OCN2DKImMeSeR2XiBigComptdwmOhd/o+QiZ+SkC73oVgID8H16CYLVc8VwK31D43vwQ2t3/MYKmvA25VxDyf3gRFl05AMBUnAUIAvxGPIp2D3wCn6GzUJm4HmU7vrGdo/SvpZB5+KHd9A8gc/dF6V9Lba9VJe0EJBKWYifw2Q4NdpwvFDsGEZFTYjEmokYr15sw97tjnGyL2iSrUY+i39+B38jHIFW513rNo+dIqMK7Qu4VBGVwLLxvmgpLZSHM5QVXPJ9b/GCoo3pC4R0Ml4BI+AydCcGog7EgFQCgjukN/zHzoY7uBYV3MFzj+sHzutugO7/Xdg5TcSbcuw6DwjcU7l2H1ZRpANZqLcp2rYDvzQ+3wCdB9kYQgMd/SERBRbXYUYiInA6LMRE12rO/nEBWqV7sGERNUrL5U6jb94U6qme9+1mN1dCe3AK5VxDknv4NOrdgMaEycQMkSje4BEZf+dwGHaRqD9vXisBoVKclQhCs0KcdgyIwCgBQuu0reCTcCrlnQIOuT21fcZUR875PhJXPGxMRtSq52AGIqG1ZeSAdf57MEzsGUZNUndkBY54G7aa9d8V9Ko+uQ+n2ryGYqiH3DUPgpIW2Z4GvRJdyEEW/vQ3BZIDM3QdBk16DzNWrzn1NpTmoPPI7fIbcb9vmM+R+lGz8GNmfPgCXwCj4jngU1ZmnYCxIhffgGShc+yaMeclQRSfAd/jsq+ahtm3fhWJ88Fcy5g/vIHYUIiKnwcm3iKjBzuVVYvzHu1FtsoodhajRzBWFyF3+HwRNes02mpu36hm4BMbYJt8CAKuhCpaqMliqSlFx8BdYKosRfO8iSOQuVzy31VgNS1UJrLoKVB7fiOqME2g39V3I3LxrZ6gsQv6qZ6GK6Aa/UXOveD7BbELu8nnwG/M4qk5vg9Wgg9+IR1Hw00tQx/WHZ++x1/ZhkN2TSSVYObMfro/xEzsKEZFT4K3URNQgeqMFc1YdZSmmNsuYlwKrrgy5y+Yh/e1xSH97HAyZp1B55Hekvz3ONsGWVOkGhW8oVOFdETDhWZhKsqA7v6/ec0tdVFD4hEAZ2gn+o+dBIpVCe2JTrX3MlcXI/+45KEM7wXfknHrPV77vR6iiEqAMjoUh8xTcOg6ARCaHa4cBMGScvLYPgtoEi1XAvO+PoaSK6xsTEbUG3kpNRA3yyu+nkVygFTsGUZOpInug3f0f1dpW/OcSKPzC4NnvdkiksssPEmr+CBZT4y4mCLWOMVcWIf+752yzXkskV/69tKkoE1VJ29Fu+oc1p7JabKVdsFggCPzllLPIrzDg8R8T8fX0vpBIJGLHISJyaCzGRHRVf5zIwfeHMsWOQXRNpEpXuPxreSaJQgmpygMuAVEwleVBl7QTquhekLl6wlxRjIoDP0Eid4E6po/tmOz/PQSfQffBtcMAWI3VKN/3A1xj+0Hm7guLvgKVR/+AubIYrh1vBHCxFD8LuWcgfIbcD6uuwnYumbtPrTyCIKB444fwGToLUhcVAEAZFg/t8Y1Q+ISi6vRfcO08sIU+IbJH288VYsX+dNzXP0rsKEREDo3FmIjqVVBZjRfWnhI7BlGLk8gUqM46jYrDv8FarYXMzRvK8C4IvndRrWeFzSVZsBp0NcdIpTCVZKFw7VZY9BWQqT3hEhyH4ClvwSUgEgBQnZYIc2kuzKW5yP5keq1rRj79R62vtcc3QObqDdfY62zbvG+4B0W/L0Luisehju4Nj15jWuYDILv15vqzGNQhAJF+bmJHISJyWJx8i4jqNXP5YWxJyhc7BhGRU+sb5YMfHuwPqZS3VBMRtQROvkVEV/TL0SyWYiIiO3AorRRLd6eKHYOIyGGxGBNRnQoqqvHK72fEjkFERH97Z9M5pBRUih2DiMghsRgTUZ2e/eUkyvWNnImXiIhajMFsxf/9eBwWK5+CIyJqbizGRHSZnw5nYuvZArFjEBHRvxzPKsen21PEjkFE5HBYjImolrzyarz6B2+hJiKyVx9sTcG5PN5STUTUnFiMiaiW59ecRGW1WewYRER0BUaLFc+vOQkuLEJE1HxYjInIZuPpPN5CTUTUBhxOL8UPhzLFjkFE5DBYjIkIAKA3WvAqZ6EmImoz3txwFiVVRrFjEBE5BBZjIgIALNmajOwyvdgxiIiogcp0Jvz3zySxYxAROQQWYyJCcn4llu6+IHYMIiJqpNVHs3DgQrHYMYiI2jwWYyLCC2tPwWThJC5ERG2NIFz8GW4VOwoRUZvGYkzk5H45moUDqSVixyAioiZKLtDif7t41w8R0bVgMSZyYuV6E/7751mxYxAR0TX6cGsKcjhPBBFRk7EYEzmxJVuSUaQ1iB2DiIiukd5kwTsbz4kdg4iozWIxJnJS6cVV+HZ/utgxiIiomaxJzMbJrHKxYxARtUksxkRO6q0NZ2HkZC1ERA5DEICF67gePRFRU7AYEzmhI+ml+PNkntgxiIiomR1ILcGm0/z5TkTUWCzGRE7ov38miR2BiIhayJvrz3L5JiKiRmIxJnIyf57MxZH0UrFjEBFRC7lQVIWVnEOCiKhRWIyJnIjJYsXbG7g8ExGRo1uyNRnlepPYMYiI2gwWYyInsmJfOtKKdWLHICKiFlaqM+HT7RqxYxARtRksxkROospgxkfbUsSOQUREreSbfWko5lr1REQNwmJM5CSW70tDSZVR7BhERNRKdEYLPt95QewYRERtAosxkRPQGc34cleq2DGIiKiVrdiXjsJKjhoTEV0NizGRE1i+N52jxURETkhvsuDzHXzWmIjoaliMiRyczmjG/3bxVjoiImf17YF0FFRWix2DiMiusRgTObhv9nG0mIjImVWbrPhsO39BSkRUHxZjIgemM5rxP068QkTk9FYeSEdBBUeNiYiuhMWYyIF9sy8dxRwtJiJyegazFZ/yWWMioitiMSZyUNUmC0eLiYjI5odDmSjXmcSOQURkl1iMiRzUT0eyOFpMREQ2OqMF3x5IFzsGEZFdYjEmckBWq4ClnImaiIj+ZfneNBjNVrFjEBHZHRZjIge06Uwe0op1YscgIiI7U1BpwNrEbLFjEBHZHRZjIgd09sRBsSMQEZGd+pJ3FBERXYbFmMjRZB/B/PP34WTEYjwdmQyZhLfMERHRP87na7HtXIHYMYiI7AqLMZGj2f8ZAMCj4DAezn8ZZwNfwCexB+HnwplIiYioBlctICKqTSIIgiB2CCJqJpX5wPtdAcvls1FbVd5IDJiAl/NuwMlKNxHCERGRPfnjsRvRNdRL7BhERHaBI8ZEjuTw0jpLMQBIq8vQK3MZfrM8gp2xqzA2sLCVwxERkT35dj+XbiIiuogjxkSOwmwE3usCVDX8ubHyoH5YLtyK9zJjIAiSFgxHRET2xtVFhgPPDYOHSiF2FCIi0XHEmMhRnFrdqFIMAF75BzC34EWcC3oRS9ofgZfC3ELhiIjI3uiMFqxNzBE7BhGRXeCIMZGj+HwQkJt4Taewqn1xxH8CXswdgLNa1+bJRUREdqtzO0+sn3eT2DGIiETHEWMiR5B74ppLMQBI9SXom/kV1guPYHvsDxgVUHTt2YiIyG4l5VbgWEap2DGIiETHYkzkCE780Kynk1iMiMr6FZ9WzsWxqI/xWHgqJBLeXEJE5IhWHcgQOwIRkeh4KzVRW2e1Aos7A9q8Fr2MwacD/nCdgAXpXVFplrfotYiIqPWoFTIceH4YPDkJFxE5MY4YE7V1qdtbvBQDgLL0PG7PfhvHPR/Hd3Hb0N5V3+LXJCKilqc3WfDLkSyxYxARiYrFmKitO968t1FfjVRXhP6Z/8MW6aPYGvszhvmVtOr1iYio+f1wmMWYiJwbb6UmasuMOuCdOMCoFS2CAAlK2t2E/5lG4bOsSNFyEBHRtdn0n4HoEOQhdgwiIlFwxJioLTv7h6ilGAAkEOCXuxPPFD2LsyGv4c2Yk3CTWUXNREREjbf2WLbYEYiIRMNiTNSWNfNs1NdKVZKEu3PewAnvx/Ft3A5EqavFjkRERA302/Ec8EZCInJWLMZEbZW2ANBsEztFnWRVBbgx83Nskz2KTXFrMNC3TOxIRER0FVmlehxJ55rGROScWIyJ2qqTPwOCRewU9ZKY9eiQ+ROW6x7Foej/4f7QTLEjERFRPX5NzBE7AhGRKDj5FlFb9flAIPe42CkaTe/fFT8rxuG/GZ2ht8jEjkNERJfwdXPBweeGQS7j2AkRORf+1CNqiwrPtclSDADqolOYmvtfnPJ5CsvidiNMZRA7EhER/a2kyohdyUVixyAianUsxkRtkZ1NutUUMm0uBmd+gl2KOVgf9xv6+5SLHYmIiACsTeTs1ETkfHgrNVFbIwjA+92B8gyxkzQrQSJFQbuh+Kh6BFbkhIodh4jIabkr5Tj64s1wkXP8hIicB3/iEbU1GfscrhQDgESwIihnC14reRJnwt7Cy1FJUEq5HjIRUWvTGszYd6FY7BhERK2KxZiorTm7TuwELc616Dhm5L2G035P48u4fQhWGsWORETkVLacyRc7AhFRq2IxJmprNH+JnaDVyCuzMTzzQ+xTzsHvcevQx6tS7EhERE5hSxKLMRE5FxZjorakIgcoOCN2ilYnMWrRLXMlfjI+gn3tl2NSuzyxIxERObTc8mqcyuakiETkPFiMidqSlC1iJxCVRLCgXfZGvFX6OE6Fv4Pnos5BIeX8gURELWETb6cmIifCYkzUlqRsFTuB3XAvPIoH815Bkv+z+Cz2AAJcTGJHIiJyKJtZjInIibAYE7UVVgtwYbvYKeyOvCIDI7OW4KD6Mfwatx49PbViRyIicghJuRXIKtWJHYOIqFWwGBO1FVmHgeoysVPYLYmhAj0yV2CN+RHsjl2JCUEFYkciImrztibxZykROQcWY6K2QsPbqBtCYjUjLGsd3i+fjxMR7+HJyGTIJFwPmYioKXYlF4kdgYioVUgEQeDMNURtwf+GAtlHxE7RJpm8YrDBfQJeyuiJUpNc7DhERG2Gh0qOxJdugUwqETsKEVGL4ogxUVugKwFyjomdos1SlF/A2OzFOOI2D6vjNqGLR5XYkYiI2oTKajNOZJWJHYOIqMWxGBO1BZq/AIG3A18raXUpemcuwx+WR7Aj9nvcGsBbBImIrmavpljsCERELY7FmKgt4DJNzUpiNSEy6zd8VDkXxyM/wPyIC5BI+FQJEVFd9qTwl4hE5Pj4jDGRvRME4N2OgJbrSbYko3cs1rlNwIKM7ijnc8hERDZKuRTHX74FKoVM7ChERC2GI8ZE9i7vJEtxK3ApS8Ft2e/gmPt/8GPcVnRw04sdiYjILhjMVhxJLxU7BhFRi2IxJrJ3XKapVUn1xbgucyk24hFsi/0Rt/iXiB2JiEh0vJ2aiBwdizGRvUvfK3YCpySxGBCdtRZfaOfgaNQneCQsTexIRESi2XeBE3ARkWPjM8ZE9m5RHFBVIHYKAmDw6Yjf1OOxIKMbqsx81o6InIeLXIpTC0bARc4xFSJyTPzpRmTPyrNZiu2IsvQc7sx5Gyc9/4NVcdsR41otdiQiolZhNFtxOqdc7BhERC2GxZjInuUcEzsB1UGqK8KAzC+wVfoItsStxmBfTkpDRI4vMbNM7AhERC2GxZjInrEY2zWJuRqxmavxtW4OjkR/jlmhGWJHIiJqMccyysSOQETUYliMiewZi3GbIIEAv9wdeL74GZwNXYj/xpyEm8wqdiwiombFEWMicmQsxkT2LDdR7ATUSKriM7gn5w2c8H4C38TtQoSazyETkWPIKNGhWGsQOwYRUYtgMSayV2UZgI7LY7RVsqo8DMz8FDvkc7Axbi1u9OWkNUTU9nHUmIgcFYsxkb3ibdQOQWLSoWPmj1ihfxQHY5ZiWkiW2JGIiJqMxZiIHBWLMZG9YjF2KBLBisCcrXil5CmcCXsDr0afhlLK55CJqG05nsW7X4jIMbEYE9krFmOH5Vp0Evflvo4zvk/hq7g9CFXxmT0iahvO5VWIHYGIqEWwGBPZq5xEsRNQC5NpczA082PsdpmDP+N+Rz9v/oWTiOxbfoUB5TqT2DGIiJodizGRPSq5AFSXiZ2CWonEWIX4zO/wveER7I/5Gve0yxE7EhHRFZ3lqDEROSAWY6I6fP7559i2bZt4AXgbtVOSCFYE52zGf0ufwOnwt/Fi9FkopILYsYiIajmfXyl2BCKiZsdiTA5j2bJl8Pb2btQxaWlpkEgkSExMtG374osvsHTpUlx33XXNG7AxeBu103MrTMQDua8iye9pfBG7H8FKo9iRiIgAAOdYjInIAbEYE3bu3ImxY8ciJCQEEokEa9euFTuSaA4ePIglS5bgjz/+gJubm3hB8k6Id22yK/LKLNyS9QH2qR7D7x3+RC8vrdiRiMjJnc/jzyEicjwsxoSqqir06NEDH3/8sdhRRHfdddfh9OnTCAwMFDdIUYq41ye7IzFUolvGt1htfBh72n+DO4LzxY5ERE7qfAFHjInI8bAYE0aNGoWFCxfitttua9D+58+fh0QiwdmzZ2ttf++999C+fXvb16dOncKoUaPg7u6OoKAgTJ06FUVFRQD+uYX5338GDx58xesuXrwY3bp1g5ubG8LDw/HII49Aq23cb60PHjyIhIQEqFQq9OnTB8eO1X6Wd/v27ZBIJCgrKwMAFBcXY/LkyQgNDYWrqyu6deuG7777rlHXbDSzAajk5EtUN4lgQWj2BrxT9h+cjFiMZyLPQybheshE1HrKdCbkV1SLHYOIqFmxGFOjdejQAX369MHKlStrbV+5ciXuueceAEBZWRmGDh2KhIQEHD58GBs2bEB+fj7uuusuAEB4eDhyc3Ntf44dOwY/Pz8MHDjwiteVSqX44IMPcPr0aSxfvhx//fUXnnrqqQbn1mq1uPXWWxEfH48jR45gwYIFeOKJJ+o9prq6Gr1798a6detw6tQpPPjgg5g6dSoOHjzY4Os2WmkaILDo0NV5FBzGQ/kLcDbgeXwaexABLlxChYhaR3I+b6cmIsciFzsAtU1TpkzBRx99hNdeew1AzSjykSNH8O233wIAPvroIyQkJOC///2v7ZivvvoK4eHhOH/+PDp06IDg4GAANeVzwoQJ6N+/PxYsWHDFa86fP9/2z1FRUVi4cCEeeughfPLJJw3KvGrVKlitVixduhQqlQpdunRBVlYWHn744SseExoaWqs8P/bYY9i4cSN+/PHHlpucq+RCy5yXHJaiIh2jKt7HSLUXEqMm4KXcG3GyUsRn5InI4WWU6MSOQETUrDhiTE1y9913Iy0tDfv37wdQM1rcq1cvdOrUCQBw/PhxbNu2De7u7rY/F1/TaDS1znX//fejsrISq1atglR65W/JLVu2YNiwYQgNDYWHhwemTp2K4uJi6HQN+49zUlISunfvDpVKZdvWv3//eo+xWCx47bXX0K1bN/j6+sLd3R0bN25ERkZGg67ZJCzG1EQSQzkSMpbjN8sj2BW7EuODCsSOREQOKrOUxZiIHAuLMTVJcHAwhg4dilWrVgGoGY2dMmWK7XWtVouxY8ciMTGx1p/k5ORat0svXLgQGzduxG+//QYPD48rXi8tLQ233norunfvjtWrV+PIkSO2ycKMxpZbxmbRokVYsmQJnn76aWzbtg2JiYkYMWJEi16TxZiulcRqQnjWOiwpn4/jkUvwfxEpkEi4HjIRNZ9MjhgTkYPhrdTUZFOmTMFTTz2FyZMn48KFC7j77rttr/Xq1QurV69GVFQU5PK6v81Wr16NV199FevXr681aVddjhw5AqvVinfffdc2qvzjjz82Km/nzp2xYsUKVFdX20aNL454X8mePXswfvx43HvvvQAAq9WK8+fPIz4+vlHXbhQWY2pGXvkH8BgOYHZQDDa4T8DL6T1RauKPfiK6NpmlerEjEBE1K44YE7RarW1EFwBSU1ORmJh41duFJ06ciMrKSjz88MMYMmQIQkJCbK89+uijKCkpweTJk3Ho0CFoNBps3LgRM2bMgMViwalTp3Dffffh6aefRpcuXZCXl4e8vDyUlJTUea3Y2FiYTCZ8+OGHuHDhAlasWIHPPvusUe/znnvugUQiwaxZs3DmzBn8+eefeOedd+o9Ji4uDps3b8bevXuRlJSE2bNnIz+/hZfJKU1v2fOTU3Ipu4BxWYtxxH0+fo7bjM7uHO0hoqbL4ogxETkYFmPC4cOHkZCQgISEBADA448/joSEBLz00kv1Hufh4YGxY8fi+PHjtW6jBoCQkBDs2bMHFosFt9xyC7p164b58+fD29sbUqkUhw8fhk6nw8KFC9GuXTvbn4kTJ9Z5rR49emDx4sV466230LVrV6xcuRJvvPFGo96nu7s7fv/9d5w8eRIJCQl4/vnn8dZbb9V7zAsvvIBevXphxIgRGDx4MIKDgzFhwoRGXbfRKrJb9vzk1KT6EvTJ/Bp/Co9ge+z3GBVQJHYkImqDiquM0BnNYscgImo2EkEQ+OAZkb3QFgLvxIqdgpxMWfAAfGUdjQ8zoyEIErHjEFEbsXH+QHQMvvL8IEREbQlHjInsSUWW2AnICXnn7cXjBS/gXPACLG5/DB5yjgIR0dVxAi4iciQsxkT2pJy3UZN4XEqTMTF7EY57PI7v4/5CnBsn1yGiK8vikk1E5EBYjInsSTlHjEl8Un0Rrs/8EpvwCP6K/Qk3+9c9KR4RObdCrUHsCEREzYZrdhDZE95KbVNpEPDiNgPWnDWhoEpAQrAMS0aq0DdUVuf+uzPMeHqLAWeLrNCZBER6STG7twL/6a+07fPpISM+PWxEWpkVANAlUIaXBrpgVJzCts/jG6uxLNEINxcJ3hymwpTu/7z202kTvjlhwu+TXVvoXdsXicWAmKw1+B/WoCTqJvzPMgqfZkaJHYuI7ESx1ih2BCKiZsNiTGRPOGJsM/N3PU4VWLHiNjVCPKT49oQRw1dU4cwj7gj1vPxmFzeFBHP6uqB7kBRuLhLszjBj9h/VcHOR4MHeLgCAME8J3hyuRJyvFAKA5YkmjP9ej2OzpegSKMPv50xYddKETVPdkFxsxf2/6TEiVgZ/VynKqwU8/5cBW+5zjlL8b755u/A0dmFeSCf8qpqAV9O7osrCm46InFlxFYsxETkO/q2GyJ5oC8VOYBf0JgGrz5jx9nAlBkbKEesrxYLBKsT6SvHp4br/IpbQTobJ3RToEihDlLcU93Z3wYj2cuzKsNj2GdtRgdFxCsT5ydDBT4bXh6ng7gLsz6rZJ6nIisFRMvQJqTmXp1KC1NKaifuf2lyNh/soEOHl3D82VSVnMSnnTZzwfhwr43YgxrVa7EhEJJJi3kpNRA7Euf+GR2RvDBViJ7ALZitgEQCVvPbSQWq5BLsvKbr1OZZrwd5MCwZF1n3rtcUq4PtTJlSZgP7hNfv0CJLhcI4FpXoBR3Is0JsExPpKsTvDjKN5Fszt53Jtb8yByKoKcEPm59gqfRSb49ZgkF+p2JGIqJVxxJiIHAlvpSayJ4ZKsRPYBQ+lBP3DZHhtpwGdA6QIcpPgu1Mm7MuyINa3/t/nhS2uRKFOgNkKLBikxMxetcvsyXwL+i+tQrUZcHcB1kxSIz6gphiPiJXj3u4K9P2fFmqFBMsnqOHmAjy8rhrLxqvx6WETPjxohL+rBF/cqkKXwLpLtzORmPWIy/wJy/AziqMH4TPjKHyZHS52LCJqBXzGmIgciUQQBEHsEET0t0WxQBVvpwYATUnNM7470y2QSYBe7aTo4CfDkVwLkh51v+JxqaVWaI0C9mdZ8MxWAz4apcLkbv9MoGW0CMgoF1BeLeDnMyZ8ecyEHdNdbeX4317ZbkBZtYAZCQrcskKHkw+74Y/zZnx0yIgjD145hzPT+3XFL8pxWJjeGXoLf3lA5MjOvjYSKgX/PSeito/FmMieLAwCzHxm81JVRgEVBgHtPKSY9LMOWiOw7p6GTYC1cKcBK06YcG7OlQvs8G+q0N5His/Hqi977WyRBWO/0+PYbDd8dcyI3RkW/HinK6qMAtzfqETFMx7wUErqOCsBgMUtGLt8J+KFzL7IqlZe/QAianP2PDMUod6X//wkImpr+Iwxkb2wmFiK6+DmIkE7DylK9QI2ppgxvmPDnwCxCoDBXP/v/qwCYKjjsWVBEDD7j2osvkUJdxcJLFbAVLPKk+1/Lfy1Yr1kVXkYnPkJdinmYEPcr7jBp1zsSETUzEp4OzUROQg+Y0xkL/h8cS0bU8wQAHT0kyKlxIonN1ejk78MM3rW3Bb97JZqZFcK+Oa2mpGKjw8aEeElQSf/mt/37Uy34J29hloTZj27pRqj4uSI8JKi0iBg1UkTtqdZsPHey0czvzxqQoCrBGM71lzvhgg5FuwwYH+WGeuTzYgPkMJbxdHihpCYqtAp8wd8K/kJBTFD8En1SCzPCRU7FhE1A63BLHYEIqJmwWJMZC9YjGspNwh4dms1sioE+KoluL2zHK8PVUEhqymjuVoBGeVW2/5WAXh2qwGpZVbIpUB7HyneGq7C7D7/PF9cUCXgvjV65GoFeCkl6B4kxcZ7XXFz+9o/CvO1Vry+y4C9D7jZtl0XKsP/9VdizCo9At1qJuaixpEIVgTlbMUr2Iqnw3rgR8U4vJHeEQYrb14iaqv0JhZjInIMfMaYyF7knwY+HSB2CqJWZfYIxQ7viXghszdyq7kcFlFb89E9Cbi1e4jYMYiIrhl/TU9kLzhiTE5IXpmNYZkfYq/LHPwR9wf6ePHfA6K2RGds2NryRET2jsWYyF4YtGInIBKNxKhF18xV+Mn4CPa1X45J7fLEjkREDaBnMSYiB8FiTGQvDBViJyASnUSwoF32RrxV+jhOhS/C81FnoZDyiR8ie8URYyJyFCzGRPaCt1IT1eJeeAyz8l5Fkv8z+Dz2AAKVJrEjEdG/6I2cfIuIHAOLMZG9MPJWaqK6yCsyMSJrCQ6oHsOvcevR05P/rhDZC44YE5GjYDEmshccMSaql8RQgR6ZK7DG/Ah2t/8WE4MKxI5E5PR0JhZjInIMLMZE9oLFmKhBJFYzwrL/xOLy+TgZsRhPRSZDJrFe/UAianYmM//dIyLHwGJMZC8E/uWCqLE8Cg7jkfyXcTbwRXwUewh+LnwOmag1WTk3HhE5CBZjInshlYudgKjNUpSn4tas93DIdR5+iduIbh5VYkcicgqCwGZMRI6BxZjIXsgUYicgavOk1WXolbkcv1kewc7Y7zA2sFDsSEQOzcpiTEQOgkNURPZCymJM1FwkVhO8SnZjhl82xviMQ6IQwZEtohYQ6aMTOwIRUbNgMSayFzL+60jUFBVqL2j8Y5Di6Q+NixIpqIZWW4URJQnwLLoZ8KxAdX6i2DGJHJLKhzcfEpFj4N/EiewFR4yJ6qVVeUITEA2NRwBSlCqkwABNdREKqosBFAO6YgwtisI9We1hUN2CtFw1BLdquPgWix2dyGFJJBKxIxARNQsWYyJ7IXMROwGRXdAp3aEJiEGKZyA0ShVSYITGUIw8fSGAUkBfCuj/2d/VqsCsgnj0PQUUx0xAcqU/zMVWAAL8fFNwroS3ehK1FBZjInIULMZE9oKTb5GT0bu44oJ/DDReQUhRqaCBGSmGYuTqCyGgDNCX1SrA/9bNGIj7U8IQui8DRTcMw+HA9qjONwOoWfrMK6ASUjcFdCX1nISIrolUylupicgxsBgT2Qsu10QOyiBX4UJADFK8g6FRqaGRmJFiKEWOvgBWoQKorgCqG3YuGSSYXNYZI45Y4XL0HCpuHouD/WdCW2oCYK61r9WwE3q3nkBJs78lIvobR4yJyFHwb+JE9oIjxtTGGWVKpAbEQOMdjBSVKzRSCzTGMmTq8mAVtEB1SoML8L+FWjwxOyMWnXdlQsg+Ae3Au5A04TGUFJkBvemy/f1D8yEtd0F6Sf41visiqg+LMRE5ChZjInvBybeojTBJFUj/ewQ4Re0OjdSKlL8LsEWoAgwawNA81xpRFYM7TrnDe89pCIaD0CcMw4WbXkZengUoMtd5jERmRUX+VrTvOgyn8841TxAiqpNCwf92EZFjYDEmshdcronsjFkqR4Z/NFJ82kGj9kCK1AqNqRzpujyYrXrAmAoYm/+6HlYlZuV3Qr99pZCcOw8AMMQmIOO6+5GRIwXyLPUeHxCSiqxThahw4bOPRC1NpVKJHYGIqFnwb+JE9oIjxiQSi0SGTP8oaLxDkOLqgRSZgBRTBdJ1eTBZDYAxrUUK8L8lGNth+vlghOw4B6HiSE22dtHIHvwoLuS7wpojXPUcCrUJ+Zqt6NppME6WZrd0ZCKnx2JMRI6CxZjIXvAZY2phVokUWb4RSPENh8bVAykyQGOuRGpVLoxWI2BOBypaN5MMEkwticfwo2a4HD4DCJkQAFg9/ZA/ah6SSwNgzq1ZeqkhvH1PITNHC4+Q9qjIPtqi2YkIUCqVYkcgImoWLMZE9oLFmJqJAAmyfcOh8Q1HiqsnNHIpUsyVSNXlotpiEKUA/1uk2RsPpsegw650CLnHbdsFpRrFo+fivCEa1fkWXFx6qSHcffTITtoFV1cvFMoun5CLiJofR4yJyFGwGBPZC5mL2AmoDcr1CUeKbxhS3LyQIpdBY9Higi4PerMesGQClWInrG2MNhYTT6rhsecUYDpoGwcWpDJUjJiFcy4J0JaaAdT/HHFdFLL9sFrM6BU/CvvKMps1NxHVjSPGROQoWIyJ7IXaR+wEZMfyvENrRoDdfaCRS6GxVEGjy0OVWQdYs4FK+32e1suqwoO5ndB3XzGQfPay17WDJiE5YBhKi0yAvu6Zpq/GN7gUOUnHAABKryCU5aRcU2YiahiOGBORo2AxJrIX7kFiJyA7UOgZjBS/CGjcfZGikCHFosMFfT4qTVpAyAEqc8SO2GB9DSG471wQgncmQag8fNnr1b2GQ9PhduTnWYGia7n1WUB1xTYAQHBwLHLkdjZMTuTAWIyJyFGwGBPZC1d/QCIDhMbfQkptT5F7IDQBkUhx94VGIYfGqkeKPh8VxkoAeYA2T+yITSIXpJheEo+hhwyQH0sCkHHZtFnGuF7I6Dvj76WXGv4M8ZUEhmUj42QaAKBHzDBsq0i95nMSUcPwVmoichQsxkT2QioF3PwBbb7YSagZlbr5IcU/GhoPX6S4KKCxVkOjL0CpsRxAvsP8/x1j9sGstGjE7kyFkJ9Y5z7mkBhkD3oUqfnqBi291BAyhQXFmVtqvpBIIJF7oLiwpFnOTURXx2JMRI6CxZjInrgHOkxRcjblrj5I8Y+BxtMPKQoXaIRqpFQXosRQCqAAqCoAqsRO2fzGa+Mw4bgSbntPAebCOhdVsnr5I3/kPCSX+jdq6aWG8As+j4wTNUW4c9wNyFSVNdu5iah+CoUCMplM7BhERM2CxZjInrgHATgpdgqqR6XKC5qAGKR4+kOjVCJFMEBTXYjC6hIAhUBVodgRW5yf1RUP5nREwp4C4ELSFfe7uPTSOUM0DI1ceqkhVG5G5J7bZvu6Q2A/bKo63azXIKIr4/PFRORIWIyJ7Akn4LIbVUoPWwFOUaqhgQEp1cUoqC4CUAzoigGd2Clb14DqcEw564fAnUkQqg5dcT9BKkP5iAdx3qVnk5deagg3z6Moy6oGALi4uMJslqKgvKhFrkVEl2MxJiJHwmJMZE/cA8VO4HR0Lm64EBCDFK8gaJQqpMAIjaEYufpCAKWAvhTQi51SPEpBhulF8Rh8SA/Z8bMAUuu9EVo76G4kBwy9pqWXGsLTX4ucpP22rxO6jECmZzlQ3mKXJKJ/8fT0FDsCEVGzYTEmsiccMW4x1Qo1LgTEQOMVhBSVGhqYkWIsRo6uEALKAX25Uxfgf4sz+2HWhUjE7NDAWnTsqvtX97r576WXLNe49FIDmXdDEP65NTtC3Ql/6o63/HWJyMbLy0vsCEREzYbFmMiecMT4mhnkKqQGxCDFKxgatRopsEBjLEG2vgBWoRKorgSqxU5pv+6o6IhbE+VwPXAaMOdf9algY1wvpPedgcwcKZDXOkuN+YUUIPv0GdvXvr6h0FebkacvaJXrE1ENFmMiciQsxkT2hCPGDWaSuSDVPwYan2CkqNygkVqgMZYhU5cPi6AFDCmAQeyUbUOgxR0PZsehx55cCGkNm7zq4tJLF/JVEHJaOOAlJBIB2sK/am1L6DgCWe4VQFbr5SAiwNvbW+wIRETNhsWYyJ6wGF/GJFUgwz8ayd7toHF1h0ZqRcrfBdgs6ADDBRbgJrqpOgL3nPGB/84zEPSHGrSIUs3SS/ORXOL399JLrSsgLA0ZJ2o38QBjCA4aeBs1UWvjiDERORIWYyJ74sS3UpulcmT4R0HjHYIUVw9opFZoTBVI0+XCbK0GTKmcWKkZqAQ5HijsjBsPVkF28jyAhq0qLCjVKB4zD+eqo1pk6aWGcFGZUXBha61tMVG9oTcZkFOY2+p5iJwdizERORIWYyJ7ovIC5GrA7LizQFklUmT6RSHFJ7SmAMuAlL8LsMlqBExpLMAtoLPJHzM1EYjYkQyh5OqTaV1Ua+mlkpZbeqkhvPxOIzO3ota2LmE3IlNdyduoiVqZRCLhrNRE5FBYjInsjXsAUJYhdoprZpVIke0bgRTfMGhcPZEiAzTmSqTq8mCwGABzOlBx9fNQ00kEYFJFJ4w+JoHq4BnAkteg0eGLtIMnI9lvMEqLzS269FJDuHnpkXN2R61tMpkL3ErdcEGeJk4oIifm7u4OmUwmdgwiombDYkxkbzxC2lQxFiBBjm84ND5hSHHzgkYuRbK5Emm6POgt1YA5gwW4lQVb3DE7Kw5dd+VAyDzV6OOre98CTdzEmqWXisUtxBcplYdgMdfO0iN+GPSCCVkFrTj7FxEB4MRbROR4WIyJ7I1feyBzv9gp6pTrHYYUv3Bo3LyRIpdCY9Higi4fOrMOsGYBlbyfVUxDdVG4+4wXfHadhlDdsMm0LmXs0AfpfaYjM0fSaksvNYRPYDlyzh2+bHu0Z3ekqysgZDf2nRLRteLzxUTkaFiMieyNf5zYCZDvFQKNXwRS3LyhUciQYtHhgj4PWlMVYM0GKrPFjkh/c7UqMKsgHv0PlEN6JgVAwybTupQ5NBbZgx7GhbzWXXqpIQQIMOq2X7bdw90P8nwJLoTntX4oImIxJiKHw2JMZG/8O7TapYo8gpDiH4kUdx+kKOTQWHTQ6PNRadICQg6gtY+WVPxXMUr+KoGpyAQAUIYqETg+EB7dPa54jKXKgvzV+ag4UgFLlQUKPwXa3dMOHj1qjqk6V4WiP4ugT9fDXGZGxGMR8OxdeyKZovVFKPyzEAAQMDoA/qP8ba/pNDrkfJOD9i+1h0Qmae63fFVdTUF4IDkEYTuTIZQeadI5LD6ByL9lLlJK/GDOaf1ZphsiMCwXmSc1l23vFT8KRq0FmQX8JQ2RGFiMicjRsBgT2ZsWKMbF7gHQ+EchxcMXGoUcKVY9NPoClBsrAOQBWvsedVP4KBB8ZzBcglwAAGW7y5CxJAPtX20PVajqsv2tZivS3kmDzEOG8DnhUHgrYCo2Qeoq/WcfgxWqCBV8Bvog48PLn+muzqxG/pp8RM6PBACkv5cO967uUIWrIFgE5CzPQcj0kFYtxTJIcHdZJ4w8CigPnQas2Y0eHQYAq8oNxaPn4nx1pGhLLzWEVG5FafaWOl8LRiRS25XBaqeFnsjR+fr6ih2BiKhZsRgT2RufaECqAKymRh9a5uqLlIBoaDz8kOLiYivApcZyAPmANr/587YCz4TaI7lBdwShZFsJdCm6Ootx2c4ymLVmxDwfA4m8pri6BLjU2seju0e9I86GXANUYSq4x7sDAFThqppt4SoUrS+CW0c3uMa4Xutba5BQiydmZ8Si865MCNknm3weQSpD+cjZOCfvgSqRl15qCP92Kcg4UXTZ9tDQzkChGanu9v0LHSJHFhgYKHYEIqJmxWJMZG9kcsAnCihOvuIu5WpvaAJikOLhB41SCY21GinVhSg2lAIoBKoKgapWS9yqBKuA8oPlsBqscI2tu5hWJFbANdYVOStyUHGsAnIPObyu90LAmABIpA0b4VWGKWHMN8JYbAQEwJBngDJMCUOBAaW7StF+QfvmfFt1GqGLwR0n3eG95zQEw8EmjQ5fpB18D5L9BtUsvQT7mGm6PkpXI3LPb63ztR5RQ2EsEZBewMneiMTg6urKNYyJyOGwGBPZI/8OQHEytCpPpATEQOPpjxQXFTQwQFNdhILqYgBFgK4I0IkdtnVUZ1bjwsILsJqskCqliHgsos7RYgAwFhhhKjLBq78Xoh6PgjHfiJxvcgALEDihYaMcqhAVgm4PQtqiNABA8B3BUIWokPp2KoLvCob2lBYFawsgkUnQbko7uHV0a5b36WFVYlZ+J/TbXwbJ2fMAGj+Z1qX0fUbgQvvbkJ9vP0svNYSH13GUZ+sv2y6RSOFZ6Y20kHJYcux7xJvIUXG0mIgcEYsxkR1a03kwPpblIl9fBKAE0JU4TQG+Epd2Lmj/antY9VaUHypH1pdZiH4muu5yLAByTzlCZ4RCIpVAHaWGqdSEovVFDS7GAOA71Be+Q/95jq50dymkKilcY11x/pnzaP9ye5hKTcj8NBMdFnWAVCGt52z1SzC2w/TzwQjZcQ5CRdMm07qUsWNfpPeeVrP0Un7bKpAevlXIPrunzte6dBoEodKMtIC2+VgAkSMICgoSOwIRUbNjMSayQ0rPsL9LMV0klUuhDFICANRRauhT9SjeXIzQ6aGX7Sv3lkMik9S6bVoZooS53Ayr2QqpvPEF1lxpRsGvBYh5Nga6Czoog5W2P4JFgDHPCFV43SPYVyKDBFNL4jH8qBkuh88AQuY1jQ4D9r30UkNJsReCte5JteL8esNcKCC1ILOVUxHRRSzGROSIWIyJ7FCcj/hrGds9ARBMdddI1zhXlO8rh2AVbOXYkGeA3FvepFIMALmrcuF/iz8UvgroU/UQLP9cW7AIEKwNr7QRFm/MTo9Bh53pEHKPNynPv7WFpZcawq9dEbLP1D3BmErlDmWBAhlhWphz285t4USOhsWYiBwRizGRHYr2ioZCqoCpCTNTO6K8n/Lg0d0DCl8FrNVWlO0vQ9XZKkT9XxQAIOuLLMh95Ai+MxgA4DvEFyVbSpC7Mhd+N/vBmGdE4R+F8BvuZzunpdoCY77R9rWxyAh9uh4ydxlc/GrPYK09pYUx34iwWWEAAHW0GoZcAypPVMJUYoJEKoGynfKq72OMNhYTT6rhsecUYLq2ybQusi29pLfvpZcaRCKgquSvK77cq8soCCVWpEkLWjEUEV1KIpHwGWMickgsxkR2SC6VI8YrBudKz4kdxS6YK8zI+iIL5nIzpGopVOEqRP1fFNy71iylZCw2ApdMNu3i54KoJ6KQuyoXKS+kQO4jh9/NfggYE2DbR5+qR9pbabav876rWfrH+wZvWwEGAKvRipxvcxD+cLht9Fnhq0C7e9sh+8tsSBQShM0Mg9Sl7pFoL6sKD+Z2Qt99xUDy2eb6SCDI5CgbORvnZd3bxNJLDREQloHME1eeaTrMJQ4WhRkXCi5fd5qIWoevry8UCoXYMYiImp1EEITmGLQgomb23K7n8PuF38WOQU3U1xCC+84FIXhnEoRKbbOeWztkCpJ9B/699JJjkLtYYNEtg76yvM7XAwKiMNRjErIj9Fifv7eV0xHRRZ07d8akSZPEjkFE1Ow4Ykxkpzr5dmIxbmPkghTTS+Ix9LAR8qNnAGQ0y+3SF+n7jISm/QQUtLGllxrCNygJGSfqLsUAkBB3M5ALpCkKWzEVEf0bny8mIkfFYkxkp3oE9hA7AjVQjNkHs9KiEbszFUJ+YrOf39ipL9J6TUNWG1x6qSHUHtXITtpe7z6++iCY5UZcKORt1ERiYjEmIkfFYkxkp+J946GUKWGwGMSOQlcwXhuHCceVcNt7CjAXNuvoMACYw+KQPfBhXMhTttmllxrC1fUwSk3GK77eof31EMpMKIgwwFDAfx+IxMRiTESOisWYyE4pZArE+8XjWMExsaPQJXysajyU2wkJuwuAC0ktcg2LbxDyb56L5BJfWNrw0ksN4RVQgexzh+rdp1O7/kA2kO7Ctb2JxOTu7g5fX1+xYxARtQgWYyI71jOgJ4uxnRhQHY4pZ/0QuDMJQlX9Ra6prCo3FI+Zh3O6CBjb+tJLDWQ17ATqmQNSLneBa7EaFpkZKUXprZiMiP4tIiJC7AhERC2GxZjIjvUI7AGcFjuF81IKMkwvisfgQ3rIjp8FkNrst0sD/1p6qdgxll5qCP/QPGSdOl/vPgldRkCosKAw3IjqwupWSkZEdYmMjBQ7AhFRi2ExJrJjPQN6ih3BKcWZ/TDrQiRidmhgLWrZEfvKofci2WcgyopNABxrpun6SGRWlOdtvep+kW5dgAoB6SreRk0kNhZjInJkLMZEdsxP7YcIjwhkVHIm3tZwR0VH3Jooh+uB04A5v0VvZNb3HQlNzMWll0wteCX7FBByARkn8uvdx8srCLJ8wCoVkFLEfweIxKRSqRAYGCh2DCKiFsNiTGTnegb2ZDG+iqpzVSj6swj6dD3MZWZEPBYBz96eV9xfm6RF2ltpl23/uH01XOU1PxarrBZ8UFSELZWVKLFY0FmpwrOBgeimVtv2/6qkGF+VlAAAHvD1xQxfP9trx/V6vJafh+8joyCXSGzbjZ37IS3hPmTlwCGXXmoIF7UJeclbrrpf704jgQIBxaEm6Ip1rZCMiK4kPDwcUqlU7BhERC2GxZjIzvUI6IHfNL+JHcOuWQ1WqCJU8Bnog4wPG/5LhJVTxyL8aCqE6ppnV/1kMttrL+blIdlgwFvtQhAgl+P3inI8kJWJ36OiEaRQ4Fx1NT4qKsInoWEQADySnYUb3NzQQamCWRDwSn4eXgkKtpVic3hHZN00G6kOvvRSQ3j5nkRFztWLboA1HIAJ6a7FQHHL5yKiK+Nt1ETk6FiMiexcz8CeYkewex7dPeDR3eOq+6kEOR4o7AzlvnTcjzS033cWnjIZIK/9o7DaasXmykp8FBqGPq6uAIA5/gHYrtXi+7IyzAsIwAWjER2USlzv5gYA6KBU/r1Nha9KStBH7YpuanXN0ku3zEVyseMvvdQQ7t56ZCftuup+kRE9gCITBImAlBLeMUEkNhZjInJ0LMZEdi7WOxYeCg9UmirFjtJmdTb54wFNBCJ3pkAoPoaDuioAwMS0VBgFAXFKJR7180evv0uwBQIsAFwuuQUaAFRSKY7qa0Y6OyiVSDMakWMyQQCQbjQizkWJDKMRa8rL8GOnrigc+5+apZfynGPppYaQy/bCarn6LeRdwwcCOUBJsBnaUm0rJCOiK5HL5QgJCRE7BhFRi2IxJrJzUokUCUEJ2Jm1U+wobYpEACZVdMLoYxKoDp4BLHm2pZYC5HK8HBSErio1jIIVP5eVY3pmBr6PjEK8SgU3qQw9VWp8VlyE9koX+MnkWFdRgUS9HhEKFwBAe6US8wMCMDMzEwAwPyAA7ZVK3J+ViYdGTcdyhGHNpy9BJpXjjgGPIjaku0ifhP3wCS5FbtLxq+4nlcrgUeEJAWaku5cApa0QjoiuKCwsDLJLHjUhInJELMZEbcCAkAEsxo0wqTAG96+UQcg8Vefr0S5KRLsobV8nqF2RaTJieWkJ3mpXMyryZrt2eCEvF4M1GsgAxKtUGO3hiTOGf9bSvdvbB3d7+9i+/j4kHiYhAILXLfj6h+l4cuInKNMW4qutC/HKPd9CIXNpmTfcJgioLv+rQXt26zwMgrZm6aqUMt5GTSQ23kZNRM6AxZioDbgh5AaxI9i9oboo3H3GCwNwCuE7kyF4XP2Z40t1U6ltt0kDQISLC76JiITOakWV1YoAuRyP52QjTKG47Fj9daNxLGggPv78Ycwf9x7SCs4i0CvM9sdqNaOgLAuhfjHX/D7bqoDwbGSeSG/Qvu29ewI6oDTIhIryipYNRkRXxWJMRM6AxZioDYjyikKoeyiytdliR7ErrlYFZhXEo/+BckjPpFzTuc4aqhEgv/xHoqtUClepFOUWC/ZUVeH/Av5Zx9PYuR/Set6HrFxg+a9vYEj32+HjHoCMwnOwWP95jtZitUAQnPcZY5nCguKMqy/PBABubj5QFEgBCEj3LAXKWzYbEdVPoVAgPDxc7BhERC2OxZioEXQ6HRYvXowpU6YgOjq6Va89IGQAfjr/U6te0151NQXhgeQQhO1MhlB6BFVWKzKMRtvr2SYTkqqr4SWTIUShwOLCAhSYzXjz79ukvykpQahCgVilEkZBwM/lZTig0+F/Yf/85W93lRYCgGiFCzJMJiwqLEC0iwtu8/L6e+mlh5Ca6wIhF0jKOoyC8ixMHfI0ACAioCPyyzJwOuMASrWFkEqlCPR23r9Y+gWfQ8aJkgbt2yt+JFBU8zS4piKzJWMRUQPExMRAUcedMkREjobFmJzC9OnTUVZWhrVr1zb4mGXLlmH+/PkoKyuzbZs1axa8vLxavRQDNbdTO3MxlkGCu8s6YeRRQHnoNGDNtk2mdbpaj+mZ/5SotwoLAAATPD3x33YhKDKbkWsy2V43CQLe/rssqyQSdFSqsDQ8HP1c3Wz7VFqseL+oEHlmM7ykUtzi4YHH4rqiYNTjSCnxsS29ZDQb8NPuD3H/8BchlUgBAD7uAbjzhjn4dvsiyGUKTB38NFzk/zzT7ExU7kbknN3W4P1DpDEAzCgPMKO0vKzFchFRw3Ts2FHsCERErYLF2MG98cYb+OWXX3D27Fmo1WoMGDAAb731Fv9D1wRLliyBTqfDihUrRLn+9SHXQy6Vw2w1i3J9sYRaPDE7Ixadd2VCyD5Z5z7XubrhTMdOVzzHf9vVXmbkAT8/PODnV+91R3l6YpSnJwDAqnZH8eh5OKkLhzG/9tJLLnIlXrp7+WXHD+g8BgM6j6n3Gs7Azf0IyjINDdo3ODgWKKz5/s7wLgO4QhmRqCQSCTp06CB2DCKiVsFi7OB27NiBRx99FH379oXZbMZzzz2HW265BWfOnIGbm9vVT0A28+bNw7x580S7vpvCDb2DeuNA7gHRMrSmEboY3HHSHd57TkMwHLSNDrcmQSZH2aiHcV7aFVXFZgBXX3+X/uHlr0X22f0N3r9nzHAgt+afUyp5GzWR2EJDQ+Hu7i52DCKiViEVOwC1rA0bNmD69Ono0qULevTogWXLliEjIwNHjhypc/9NmzZBpVLVun0YqCmFQ4cOtX29e/du3HTTTVCr1QgPD8fcuXNRVVVle91gMODpp59GeHg4lEolYmNjsXTpUtvrp06dwqhRo+Du7o6goCBMnToVRUVFttd//vlndOvWDWq1Gn5+fhg+fHit81/KYrHggQceQHR0NNRqNTp27IglS5Y0+rNatmwZIiIi4Orqittuuw3FxcW1Xl+wYAF69uxp+/rQoUO4+eab4e/vDy8vLwwaNAhHjx5t9HUbY1DYoBY9v9g8rEo8ntsDP6yJxANLzsPrr6MQDA0bbWxulUOn4uj4T3BM2wlVFc41St9cBNMuQGjgrzQkEnjrakbxK/wsKC5r2DPJRNRyeHcZETkTFmMnU15eM8Wrr69vna8PGzYM3t7eWL16tW2bxWLBDz/8gClTpgAANBoNRo4cidtvvx0nTpzADz/8gN27d2POnDm2Y+677z589913+OCDD5CUlITPP//c9lvnsrIyDB06FAkJCTh8+DA2bNiA/Px83HXXXQCA3NxcTJ48Gffffz+SkpKwfft2TJw4EcIV/oJttVoRFhaGn376CWfOnMFLL72E5557Dj/++GODP5cDBw7ggQcewJw5c5CYmIghQ4Zg4cKF9R5TWVmJadOmYffu3di/fz/i4uIwevRoVFa23P2fg8MGt9i5xZRgbIclpxLw1WcyXL/sCCRnNaJl0V83GicnfYZD1utRXmK6+gFUJ7+QAhSkJTV4/85xN0Ior/kFRKZvWQulIqLG4G3URORMJMKV2gY5HKvVinHjxqGsrAy7d+++4n7z58/HyZMnsXXrVgA1o8jjxo1DXl4evL29MXPmTMhkMnz++ee2Y3bv3o1BgwahqqoKGRkZ6NixIzZv3ozhw4dfdv6FCxdi165d2Lhxo21bVlYWwsPDce7cOWi1WvTu3RtpaWlNXjtxzpw5yMvLw88//wzg6pNv3XPPPSgvL8e6dets2+6++25s2LDBNnq+YMECrF27FomJiXWew2q1wtvbG6tWrcKtt97apNwNMW7tOKSWp7bY+VuLDBJMLYnH8KNmuBw+0/CRxRZi7Hw9UntORXauqDEcgkRqhYvsB5QXNPzDnHDj/0GZXfN0z28hJ1BQUthS8YioAXx8fER9fIiIqLXxGWMn8uijj+LUqVP1lmIAmDJlCq6//nrk5OQgJCQEK1euxJgxY+Dt7Q0AOH78OE6cOIGVK1fajhEEAVarFampqTh58iRkMhkGDar7tt/jx49j27ZtdT63pNFocMstt2DYsGHo1q0bRowYgVtuuQV33HEHfHx8rpj5448/xldffYWMjAzo9XoYjcZatz1fTVJSEm677bZa2/r3748NGzZc8Zj8/Hy88MIL2L59OwoKCmCxWKDT6ZCRkdHg6zbF4LDBbboYR1i8MTs9Bh12pkPIPS52HJgiOiL7xn+WXqJrFxCahowTDf8wXVxcoSpygQArqnwsLMVEdoCjxUTkbFiMncScOXPwxx9/YOfOnQgLC6t33759+6J9+/b4/vvv8fDDD2PNmjVYtmyZ7XWtVovZs2dj7ty5lx0bERGBlJSUes+v1WoxduxYvPXWW5e91q5dO8hkMmzevBl79+7Fpk2b8OGHH+L555/HgQMH6lwm6fvvv8cTTzyBd999F/3794eHhwcWLVqEAwdadpKqadOmobi4GEuWLEFkZCSUSiX69+8P4yXr6baEYZHD8PXpr1v0Gi1htLY9bj/lCo/dpwCTOJNpXcrqG4zcW+YhpcgLlhyx0zgOF5UZ+ZotjTqmV5eREMpqZvrO8K8AOO8Wkej4fDERORsWYwcnCAIee+wxrFmzBtu3b2/w+rtTpkzBypUrERYWBqlUijFj/ll2plevXjhz5gxiY2PrPLZbt26wWq3YsWNHnbdS9+rVC6tXr0ZUVBTk8rq/BSUSCW644QbccMMNeOmllxAZGYk1a9bg8ccfv2zfPXv2YMCAAXjkkUds2zSaxj2j2rlz58uK9P799c+mu2fPHnzyyScYPXo0ACAzM7PWBGItpUdAD4S5hyFLm9Xi17pWXlYVHszthL77ioHkc2LHAVCz9FLR6Hk4XxUOY54FEL2iOxYvv1PIzNU26phwVUdcXALrgj67BVIRUWOoVKomP8pERNRWcfItB/foo4/i22+/xapVq+Dh4YG8vDzk5eVBr9fXe9yUKVNw9OhRvP7667jjjjugVCptrz399NPYu3evbaKq5ORk/Prrr7bJt6KiojBt2jTcf//9WLt2LVJTU7F9+3bbZFiPPvooSkpKMHnyZBw6dAgajQYbN27EjBkzYLFYcODAAfz3v//F4cOHkZGRgV9++QWFhYXo3LlznVnj4uJw+PBhbNy4EefPn8eLL76IQ4cONepzmjt3LjZs2IB33nkHycnJ+Oijj+q9jfridVesWIGkpCQcOHAAU6ZMgVqtbtR1m2pU9KhWuU5T9TWE4MMTCfjyE6DvN4eBZPFv/RZkcpTeOhcHh7+LU8UhMFZz6aXm5upVjZyzOxt1jK9vKKQFNaVY52VFblF+S0QjokaIjY2FTCYTOwYRUatiMXZwn376KcrLyzF48GC0a9fO9ueHH36o97jY2Fhcd911OHHihG026ou6d++OHTt24Pz587jpppuQkJCAl156CSEhIbWue8cdd+CRRx5Bp06dMGvWLNtySyEhIdizZw8sFgtuueUWdOvWDfPnz4e3tzekUik8PT2xc+dOjB49Gh06dMALL7yAd999F6NG1V0GZ8+ejYkTJ2LSpEno168fiouLa40eN8T111+P//3vf1iyZAl69OiBTZs24YUXXqj3mKVLl6K0tBS9evXC1KlTMXfuXAQGBjbquk01JmbM1XdqZXJBipnFXbFqYwc8uTgDQesOQahs3MhhS6kcdt/fSy91hK6SSy+1FKXLAVjMjft8e3UYcXGwGFkBLTejOxE1XHx8vNgRiIhaHWelJmqjbv/tdpwvPS92DMSYfTArLRqxO1Mh5NvXpEn668YgJXosCvM5OtzSfILKkHv2q0Yfd3fvFyD8vSzW+vAzyC7kDGhEYlKpVHjiiSeu+KgTEZGj4k89ojZqVPQoUYvxeG0cJhxXwm3vKcBcaFdP6hrj+yO1x701Sy+xFLc4AQKM2u2NPi4muretFFd7WFmKiexA165dWYqJyCnxJx9RGzU6ejQ+OPoBhFaspD5WNR7K7YSE3QXAhaRWu25DmSI6IuvGh5DGpZdaVWBYDjJPXmj0cV1CbwT+nmsrM6gSsP/55IgcXo8ePcSOQEQkChZjojYqxD0EPQN74ljBsRa/Vv/qMNx71h+BO5MgVDVuYrPWYPFrh7yb53LpJRHI5BaUZG1t/HEyF7iVukFAzYh+qom/ySASm5+fH8LDw8WOQUQkChZjojZsVPSoFivGSkGG6UXxGHxID9nxswDS7Op2aQCwunmiaORcnK8K49JLIvFrl4KME41fpqxHl+EQKmtKscHNisyCnOaORkSNxNFiInJmLMZEbdiIqBF4++DbMAvNN9NynNkPsy5EImaHBtailh+Nbgqr3AVlox7GecRDV2wGwOeIxaB0MyH3fONHiwEg2qMb8Pck1NntqiBk8ZcaRGLr3r272BGIiETDYkzUhvmqfNEvpB/2ZO+55nPdXtERY4/L4br/NGDOv7iCjt2pHDYN571uQHmJCQCXXhKTh+cxlGdVN/44D3/I8yW4OMJ/wZzXzMmIqLGioqLg7e0tdgwiItGwGBO1cWOixzS5GPtb3fBQdgf02J0HIe10MydrXvp+tyIlciwKC8zA3zMZk3g8/bTITtrbpGN7dR4FFNaUYqPaiowCzrpFJDbeRk1Ezo7FmKiNuyXqFrx58E1UGCsafMxN1RG454wP/HeegaA/ZNdP5hq6DEBa9yk1Sy8VcITYXkiseyEITbuvIBgRuDjan9NOB2uOvd6fQOQcFAoF4uPjxY5BRCQqFmOiNk4pU2Jc+3H4NunbevdTCXI8UNgZNx6sguxkzfrH9lyIzRGdkHnjbC69ZId82xUh58ypJh0bGtoZKPznFxwXhPzmikVETdS5c2colUqxYxARiYrFmMgB3NnxzisW404mf8zURCByZwqEYvucTOtSXHrJzkkE6Ir/avLhPaKGAn9PQG1SWZFekNlMwYioqXgbNRERizGRQ4jxikGfoD44nH8YACARgLvKO2FMohSqg6cBS55djw4Dfy+9NGoezmtDufSSHQsMy0DGiaY9EyyRSOFZ6Q3h79uoc9vpYcnljOJEYvLx8UF0dLTYMYiIRMdiTOQg7uxwJzJyk/BwZkd03ZUNIbNpt7q2tlpLLxVx6SV7pnAxozB1c5OP79JpEITKf26jTpUUNEcsIroG/fr1g1QqFTsGEZHoWIyJHMTwyOGIW7kY5qyDbWastXL4NJz35NJLbYVPYBIyTjZ8krd/i/PtbbuN2uwiILUgo5mSEVFTKJVKJCQkiB2DiMgu8FeERA7CReYC73HjxI7RILrrx+LkXZ/jkPm6v0sx2TtXz2pkn93e5ONVak8oCxW2r/NC9TCb+csQIjElJCRw0i0ior9xxJjIgXhPuhtF//sSMNln2axZeuleZOcKbW7ppWqjDn8c+hrH03ZDqy9DmH8s7hjwKCIDO13xmPM5ifhl36fIK0mHt3sARvaagus7jqy1z45Ta7H1+I+o0Jcg1K897rzhMURdcs7Vez/BgfOb4CJXYXy/megbN9z22lHNDhw8vwkPjXq9+d/wv6hUh1ByDd9XveNHQij5Z1mmVGlhc8QioiaSSCTo16+f2DGIiOwGR4yJHIgiKBAew4eJHeMy5ohOSL3nfewNnFJTitugVTvexdnsI5g25Fk8d+eX6BTWBx+uewplVXUXvKKKXHy2/nl0COmJZ+74HEO63Y5VO97FmcxDtn2OpGzDmn2fYVTv+/D07Z8h1Lc9Pl73NCr1pQCAk2l7cTjlLzw65i1MuP5BrNrxLrT6cgCA3qDF74eW4q4b57b4e/cOLEfOuUNX37EeoYpY2z9bFAJSC3kbNZGYOnbsCB8fH7FjEBHZDRZjIgfje++9YkewsfiHInvym9jTYS5ScxQQ2mYnhtFsQGLqTkzo9yBiQ7ojwCsUY/pMQ4BnCHad/r3OY3af+R1+HsGY2P9hBPtEYlDXCegZMxDbTqy27fPXyZ8xoPNo9O80Eu18onD3wPlwkSux7+wGAEBeWQbiQnogMqAj+sQOhcrFFcWVNYs6rz3wBW6KHwdfj6AWf/9m/c5rOj4gIAqSgn8mVcsPMcBoNF5rLCK6Btdff73YEYiI7AqLMZGDce3dG6quXUXNYHXzRP4dL2JfnxdxLtcDFnMbbcR/s1otsApWKGQutbYr5Epo8uqe/Ts1/ww6hvaqta1zWF+kFpwBAJgtJmQWnq+1j1QiRcewXkjNr9kn1K89MgrPQ2eoREbheZjMRgR4hUKTexKZRSkY3PW25nybdQoIzUVRRvI1nSMh9pZaq2+lKjgbNZGYgoODERUVJXYMIiK7wmeMiRyQ38yZyJ4/v9WvW7P00iM4j84OtfSSysUV0UHxWH/0WwT5RMBT7YPDKX8hNf8MAjxD6jymQl8CD9fatyl6uvqg2lgFo9kAnaESVsEKD/W/9lH7IL8sEwAQH94XfeOG4+1fHoFCrsTUIU/DRa7C97uXYOrgp7DrzO/YcWoN3FVemDzwcbTzjWrW9y2VWVGau+Waz+NbHQgBNc8nW2QCLvA2aiJRcbSYiOhyLMZEDsjjlpvhEhkJY3p6q12zYvh0JHsOcNill+4b8ixW7liEF76dBKlEinD/OPRpPwQZRdc2mno1Y/pMw5g+02xf/3n4G3QK7QWZVIYNR7/Fc3d+iVPp+/HNtjfx9O2fNeu1/UM0yDhxbZNkdYi9HkLZP5N2FYYYYCg0XGs0ImoiNzc3dBX5riIiInvEYkzkgCRSKXzvvx95L7/c4tfSXT8WKRG3oqjADDjw0ksBXiGYP+49GEx6VBt18HLzw1ebX4O/Z7s69/dU+6JSV1prW4WuFCoXN7jIlZBKpJBKpLaJtmz76Evhqfat85x5pRk4lLwFz9zxOfadXY/Ydt3hofZGr/aDsHLHIlQbdVC5uDbL+1W6mpCXvPWaz9MpuD+Q/c/Xaaqiaz4nETVd3759IZfzr39ERP/GZ4yJHJTXbRMgC/BvsfMbut6Ic5M/wX7VyJpS7CSUCjW83PygM1QiKesQukUOqHO/6KB4nMs5Vmvb2ewjiA6MBwDIZQqEB3TAuex/9rEKVpzPPobooPjLzicIAr7f9R4m9n8ISoUaVsEKi7Xmc7dYLbbjm4un9wkY9bprOodCoYJrsdr2tVUqQMPbqIlEI5fL0adPH7FjEBHZJRZjIgcldXGB37RpV9+xkcyR8bhwz/vYEzC5zS691BRnMg/hTMZBFFXkIinrMJb8/n8I8o5A/7/XJf71wJf45q83bfvfGD8WxRW5WLv/c+SVZmDn6V9xTLMdQ7rfbttnaLc7sPfsOuw/txF5pen4Ydf7MJiqcX3HEZddf+/ZP+Gu8kK3qJoiHhPcFedzEpGafwbbTvyMYJ9IuCrdm+W9uvvokH129zWfJyH+FgjV/zxnXhRqhL5af83nJaKm6dWrF9zdm+fnBBGRo+G9NEQOzGfyZBT/70tYysuv+VwW/1DkDn8MKYWesOY4TyG+qNpYhd8OfokybRFcVR7oGX0Txva9HzJZzY/RCl0xSrT/zLbs79kOD416Hb/s/RTbT66Bt7s/7hn0f4gP72vbp3fsEGiry7Hu8DJU6koR6t8ej45+E56utW+lrtCVYOPRlXh8wge2bVGBnTCs+x34dP1z8FD7YOqQp5vtvcqle2G1XPvEaRFu8UDFP98raariaz4nETWNTCbDjTfeKHYMIiK7JRGEtrqyKFHbodPpsHjxYkyZMgXR0dGteu3Cjz9G0YcfNfl4q7sXCkfOQ7I2BMZqx5hlmq7MN7gEOUnLrvk83t7BGOE3HbDW/CdGkAj43mc/qnTXdns2ETVN3759MWbMGLFjEBHZLd5KTVSP6dOnY8KECY06ZtmyZfD29q61bdasWcjJyWn1UgwAvlOnQtqEW+escheUjPsPDg5+G6eLgliKnYIAfdlfzXKmXh1H2EoxABS1M7EUE4lEJpPhpptuEjsGEZFdYzGmOn366afo3r07PD094enpif79+2P9+vVix2qTlixZAp1Oh48+avqo7bWQeXrC594pjTqm4uYZODr2IyRWxEKndZ6JtZxdQHgmSnObZ3KsAGt4ra8z3HgbNZFYevXqBU9PT7FjEBHZNRZjqlNYWBjefPNNHDlyBIcPH8bQoUMxfvx4nD59Wuxobc68efOwZs0aSKXi/evmN306pB4eV91P138cTtz1OQ6b+qCi1HGXXqLLyRUWFKdtaZZzRUb0AIr++f4RJAJSSjgbNZEY+GwxEVHDsBhTncaOHYvRo0cjLi4OHTp0wOuvvw53d3fs37+/zv03bdoElUqFsrKyWtvnzZuHoUOH2r7evXs3brrpJqjVaoSHh2Pu3LmoqqqyvW4wGPD0008jPDwcSqUSsbGxWLp0qe31U6dOYdSoUXB3d0dQUBCmTp2KoqJ/1kX9+eef0a1bN6jVavj5+WH48OG1zn8pi8WCBx54ANHR0VCr1ejYsSOWLFnS6M9q2bJliIiIgKurK2677TYUF9ceGVuwYAF69uxp+/rQoUO4+eab4e/vDy8vLwwaNAhHjx5t9HUbQ+btDb8H7r/i64ZuN+Hs5E+wXznCqZZeon/4Bp2FrqKsWc7VNXxgra9Lgk2orNI2y7mJqHH69OkDLy8vsWMQEdk9zkpNV2WxWPDTTz+hqqoK/fv3r3OfYcOGwdvbG6tXr8YDDzxgO+6HH37A66+/DgDQaDQYOXIkFi5ciK+++gqFhYWYM2cO5syZg6+//hoAcN9992Hfvn344IMP0KNHD6SmptqKb1lZGYYOHYqZM2fivffew/+3d+dhVVXrA8e/h+EwzzMiAjIICKiIEzljzqHmTE45D2mDZd4yrbSsrKTrrcycsrzapDnPYoqzhaGioqKoICgoish4zu8Pf57rkVEFjsr7eR4eZe2113r35jC8Z6291p07d5gyZQp9+/Zlx44dpKamMmDAAD799FN69uzJrVu32L17N6WtL6dSqXBzc+OXX37Bzs6OvXv3MmrUKFxcXOjbt2+F7s2BAwcYPnw4H3/8MT169GDTpk1Mnz69zHNu3brFkCFD+Pe//41arebzzz+nS5cuJCYmYlGBUd1HZTt4MJk//kTRfW8kFHgEcrHFKM6nGkAN2npJaDOxyCPl1M5KaUtPTx+LLEvU/O8NlmSL63C9UpoX3H1z7fDhw5o3Ih0dHWnVqhU+Pj4AFBYWsnnzZo4fP05hYSHe3t506dKlzG161Go1MTEx/PXXX+Tm5lK7dm26du2KnZ0dcPfn765duzh//jzZ2dlYWFgQFBREq1at0NfX19RZtWoVqampuLi40LNnT631FpYvX06DBg0ICCi+T7eoGkqlUp4tFkKICpJVqUWp4uPjad68Obm5uZibm7N8+XK6dOlSav1XX32V+Ph4tm/fDtwdRX7hhRe4cuUK1tbWjBgxAn19febPn685Z8+ePbRu3Zrbt2+TnJyMn58fW7duJSIiolj7M2fOZPfu3WzevFlTdunSJWrXrs2pU6fIzs4mNDSU8+fPU6dOnUe65gkTJnDlyhV+/fVX4O7iWzdu3GD16tUl1h84cCBZWVmsX79eU9a/f382bdqk+aN1xowZrF69mri4uBLbUKlUWFtbs3z5crp16/ZIcVdU5rIfSZs16+7WSx1e4Uy6Jaoi+RFQ09k57+VyQsmzQR5Wg8Dn8ctpqFX2i8Mhsm7drJT2BZw6dQo9PT1sbe9u6xUXF8fevXsZPXo0jo6OrFu3jsTERHr06IGRkREbN25EoVDw8sulzxrZs2cPe/bsoUePHtjY2LBz507S0tIYP348BgYGnDlzhuPHj1O/fn1sbW1JT09n7dq1BAcH8/zzzwPw888/o6+vT5s2bdi5cycqlUrzJuOxY8eIj49nwIABVX+DhEbLli1p3769rsMQQoingkylFqXy8/MjLi6OAwcOMHbsWIYMGcKJEydKrR8VFUVMTAwpKSkA/PTTT3Tt2lUzYnD06FGWLFmCubm55qNjx46oVCqSkpKIi4tDX1+f1q1bl9j+0aNH2blzp9b59erVA+6ORoeEhNC+fXuCgoLo06cPCxYs4Pr1soep/vOf/xAaGoqDgwPm5uZ89913JCdX/FnIhIQEmjZtqlVW2qj6PWlpaYwcORIfHx+srKywtLQkOzv7ofp9VDb9+nJz8Az2hr7L6VQLSYoFVva3uHzyQKW152XdQOvz604FkhRXMj8/P3x8fLCzs8POzo727dujVCq5dOkSubm5/P3333Ts2BFPT09cXV2JjIzk4sWLXLp0qcT21Go1Bw4coFWrVtSrVw8nJyd69OjBrVu3OHnyJADe3t5ERkZSt25dbGxs8PPzo3nz5iQkJGjauXr1KiEhIdjZ2RESEqKZ7ZObm8vOnTvLfGNVVD5jY2NatGih6zCEEOKpIYmxKJVSqcTb25vQ0FA+/vhjQkJCynwGNywsjLp167JixQru3LnDqlWriIr632rI2dnZjB49mri4OM3H0aNHSUxMpG7dupiYmJQZT3Z2Nt27d9c6Py4ujsTERM10vq1bt7Jx40YCAgL497//jZ+fH0lJSSW2t2LFCiZPnszw4cPZsmULcXFxDBs2jPz8/Ee7YRU0ZMgQ4uLiiI6OZu/evcTFxWFnZ1fl/QIolEpsIlpTkKeq8r7E00FV8CdU0sQhMzMbDNO1f60kW96olLZFyVQqFceOHaOgoIDatWuTmpqKSqXCy8tLU+feegYXL14ssY0bN26QnZ2tdY6xsTFubm6lngN314S4/+e2s7Mz586dQ61Wc/bsWZycnIC7s4fCwsLkOddqFh4eXu7vVSGEEP8jzxiLClOpVOTl5ZVZJyoqip9++gk3Nzf09PTo2rWr5lijRo04ceIE3t7eJZ4bFBSESqVi165dJU6lbtSoEb/99hseHh4YGJT80lUoFISHhxMeHs57771HnTp1WLVqFa+//nqxurGxsbRo0YJx48Zpys6ePVvm9T3I39+fAwe0R9tKW6Ds/n6//vprzejJxYsXtRYQq2o+YU4c3X6R9Au3qq1P8WSyr5XOpWOnKq29Rv6dIEM7yT5zs/TESjy6tLQ0Fi5cSGFhIUqlkn79+uHg4MCVK1fQ19fH2NhYq76ZmRnZ2SUvgHav3MzMrNg5pS1emJmZycGDB+nQoYOmrEOHDqxbt465c+fi5OREt27duHDhAmlpaXTo0IFffvmFlJQU6tatS+fOnTXPJovKZ2lpWWw2kxBCiLLJiLEo0dSpU/nzzz85f/488fHxTJ06lZiYGK0R4JJERUXx119/MWvWLHr37o2RkZHm2JQpU9i7dy8TJkzQjPT+8ccfTJgwAQAPDw+GDBnCyy+/zOrVq0lKSiImJoaff/4ZgPHjx5OZmcmAAQM4dOgQZ8+eZfPmzQwbNoyioiIOHDjARx99xOHDh0lOTub333/n6tWr+Pv7lxirj48Phw8fZvPmzZw+fZpp06Zx6NChh7pPEydOZNOmTcyZM4fExETmzZvHpk2byjzHx8eHZcuWkZCQwIEDB4iKiqrWd/UVCgXhvUt+c0LUHAo9FTfTKmd7pntc9b20Ps9yKOR6lqy6VRXs7e0ZM2YMI0aMoHHjxqxevZqrV69WS983b97kxx9/JCAggNDQUE25paUlAwcO5LXXXmPgwIGYmpqyfv16unbtyp9//olSqWTChAlkZmZy+PDhaom1pnr++edRKpW6DkMIIZ4qkhiLEqWnpzN48GD8/Pxo3749hw4dYvPmzVqjAyXx9vamSZMm/PPPP8WS6ODgYHbt2sXp06dp2bIlDRs25L333sPV1VVT55tvvqF3796MGzeOevXqMXLkSM2IhaurK7GxsRQVFfH8888TFBTEq6++irW1NXp6elhaWvLnn3/SpUsXfH19effdd/n888/p3LlzibGOHj2aXr160a9fP5o2bUpGRobW6HFFNGvWjAULFhAdHU1ISAhbtmzh3XffLfOchQsXcv36dRo1asSgQYOYOHEijo6OD9Xv43L1scEzxL5a+xRPFodaSdy8eqXS2nNx9oEHtvpKts6qtPaFNn19fWxtbXF1dSUiIgInJyf279+Pubk5RUVF5ObmatW/fft2qatS3yt/cHT49u3bxUaRb926xdKlS6lduzbdu3cvM8bdu3dTt25dXF1dOX/+PAEBAejr61OvXj0uXLjwsJcsKsjDw4P69evrOgwhhHjqyKrUQtRQ16/cZsUHB1Gp5EdATWNoUkB+1mLyKnFv4U4txmCVqv0M6WqXOK5dzyjlDFGZli5dipWVFZ06deKzzz7jxRdf1GyLdO3aNf7zn/8wfPhw3Nzcip2rVqv54osvaN68uWaxpry8PD777DN69OihSbJu3rzJ0qVLcXV1pWfPnujplf7e+tWrV1mxYgWjR49GqVTy7bff0qZNG+rVq8f+/fs5f/48/fv3r4I7UbMpFArGjBmjeb5bCCFExcmIsRA1lI2zGQEtXcuvKJ451rbHKjUpRqHAOsdOq+iWXaEkxVVk27ZtXLhwgRs3bpCWlsa2bds4f/48QUFBGBsb07BhQ7Zs2UJSUhIpKSn88ccfuLm5aSXF8+bN06worVAoaNq0Kbt37+bUqVOkpaWxatUqLCwsNCv/30uKrays6NChAzk5OWRnZ5f43LJarWbdunV07NhRM523du3a/PXXX1y9epWjR49Su3btarhTNU/jxo0lKRZCiEcki28JUYM16eZJ4uE08m4Xll9ZPBPMrO9wOWF3pbYZ4NsSdZb2a+ii7U0oed0m8Zhu377NqlWryM7OxsjICCcnJ1566SXq1q0LQKdOndi8eTM///wzRUVF1K1bV2shRICMjAytxRTDw8MpKChg7dq15Obm4u7uzksvvaRZ6PDcuXNkZmaSmZnJl19+qdXW9OnTtT4/cuQIZmZm+Pr6asratGnDb7/9xvfff6955EZULlNTU9q1a6frMIQQ4qklU6mFqOFOxKawc9lJXYchqomNQwypp/+q1DZ7PPcGRpe132ddU+sf0jOqZzEoIQR069aNxo0b6zoMIYR4aslUaiFquIBwV2r5Wes6DFENbJyuV3pSrFSaYnxNe/XbbJsiSYqFqEbOzs40atRI12EIIcRTTaZSCyFoM7AeK2YepKhApetQxEPY/PdyjibtIe1GMob6Rng5BxDZdBRO1sWf31SjJu9WDIeSLrLy0D9axwz09Jjd+3+rt6vVajYfP82Bcxe5U1CAp50NvUKDcLC4u0JxYVERPx+O5/jlNBys7LCPaE5Lj/+NVH1+eAlHL5zQ7NUthKhaXbp0KXMxNCGEEOWTxFgIgbWTKY071+HAmiRdhyIewpmUf2gV+AJ1HOpRpC5i7cGFzFv/Fu/2XYSRofbe2I61U7j4z92vr7GhAW91aq05plAotOruPHmOPYnn6d8kBFszUzYfO82CPw/wZqfWGOrrs/9cMpeuZ/FK+xYojerzytoP+HvCHygUCpJvpLBm10ZeHv5y1d8AIQRBQUG4u7vrOgwhhHjqyduLQggAGnasg62rWfkVxRNjfNfZNPPrhIutB252dXmpzVtcz07n4tVErXr6hkVkXtymVWZpYqz5sDA20pSr1Wp2JyYR4e9N/VrOuFpb0r9JCDfv5HHschoAaTezCXR1ItDTn6E+PcnIuUHmnbt7Fk/Z8Tlt2rbByMgIIUTVUiqVdOjQQddhCCHEM0ESYyEEAPr6erR9qR4oyq8rnky5+XeXgTY1ttAqt3M+ze37tk7KLyxi5rodfLh2O4v3HOZK1i3Nsczbd7iVm4ePk72mzERpiLudNRcyrgPgam1J0rVM/D3asOvcQRzN7bA1sWLV8S2ozPTw9/evyssUQvy/du3aYWlpqeswhBDimSBTqYUQGs5eVtRvVYtjuy7rOhTxkFRqFb/u/Q9ezvVxtfXUlBub5ZN6aqfmcwcLc/qGBeNiZUFuQSExp84xb8deJndshbWpCbdycwG0RpEBzI2MuJV7d3ufJp61Sb1xiz6fvI6NkRXfRL7PjdxbzNmziPGTX2Hd5g0cO3YMW1tbXnjhBfnDXYgqUKdOHZo2barrMIQQ4pkhibEQQkvzHnVJOnqN2zfyyq8snhg/7/mK1MzzvBYZrVVubvk3Ny7laj73sLfh8vUslsQe4VZuHi5WFigN9Nl/NplOQX4ltn0nv4DL17PIupPLlF83YmNqwphOkYyuOwaAeft+ZMTv73A7P4f3PpyBWq1m6NChnDx5kk2bNtG3b182b95MXFwcSqWS9u3bExwcrGn/+PHj/PPPPwwYMKAK7owQzx5DQ0MiIyOLrQ8ghBDi0clUaiGEFqWJAa36+eo6DPEQft7zFccu7Gdi98+xMXfQlFvaZXM5YZ9W3bjkFNYcTaBDoA+vdngOVxtLbufmk/r/06ktjI0BNKPDhUUq5u86QE5BAQGujkzp3Jo+jYMIq9tS0+am039irjTh63e/wNfXF1NTU1auXImvry/nz5/n1KlTxMfHM2jQICIiIli7di05OTkA5ObmsmPHDlnBWoiHEBERga2tra7DEEKIZ4okxkKIYrwaOuAZYl9+RaFTarWan/d8xdGkPUzsPgd7SxftCqo9qNXaW3DtOp1EU6/aNPGsjbOVBT0b1kcN3M7PB8DWzAQLYyMS0+8+k3ww6SK38/PJLygkyM0FWzNTfF1cCDW5O+KbW5hHTsEdvus5E4WTMSYmJnh5eZGVlUVaWhoqlYpr167h4eGBq6srQUFBGBkZcf363eeVt27dSuPGjbGysqramyXEM6JOnTo0adJE12EIIcQzRxJjIUSJWvX3Q2msr+swRBl+3vMVhxK3MbT9OxgbmnIzJ5ObOZnkF+Zh53qV9HMn+O+BODb8cxK4O/p7KfMGZkolGdk5XLqexYqDR1GjRl9x99eBQqGgpY8n208kcvxyGn8nX0alUmOgr8cffx/ns027OHa1kMLbdxPp6L0/0NarGT6ePlxMv4y7uzunT58GIDExEXd3d5ycnEhJSeHOnTukpKRQUFCAra0tycnJXLlyRZ6TFKKCZAq1EEJUHXnGWAhRInMbI5r1qMufK07rOhRRit0n1gAQvfZ1rfKX2rxJa9MbAFzPuaP5I/p2fj5qYN/ZC+w4eRZTpSG1bCxp5F6L9Fu3Nee3redFflEhvx6J51ZuHgqgvpsz7et5cy37Nr/t3YXVHXs6+7Vm3ckdbB66iMsu2agvq/H392fr1q0oFApu3rzJiy++iK2tLcHBwSxYsABDQ0N69OiBUqlk/fr1REZGcvjwYQ4ePIipqSndunXD0dGxOm6fEE+dDh06yBRqIYSoIgq1Wq3WdRBCiCeTWqXmj+i/uXzqhq5DEQ/BsXYSyf+sKlaedSeXD9duZ0K7FnjY22jK1x1N4OzVTCZFhBc7Z/aGGApVRfyrSzv09BRYWNhz6bw58/f/lyMTVmvqbfdIJOlKMuvWrePMmTO8/PLLZa5GHRMTQ25uLg0bNmTZsmWMHTuW06dPc+jQIUaNGvV4N0CIZ5CHhwdDhgyR0WIhhKgiMpVaCFEqhZ6CDi8HYmJhqOtQRAUZGhWRfm57icfMlEr0FAqy87RXHL+Vm4flA9sz3WNpYoSDuRl6enf/GG/k3xkfmzqk384kv6gAgHwTFRfSL7FhwwYSExMZMmRImUnxtWvXiI+Pp127dpw/f546depgZmZGYGAgqamp5OXJiuhC3E+mUAshRNWTxFgIUSYzKyPaDwkA+XvsqWDtcIzc7JslHjPQ16OWjRWJadc0ZSq1mjPpGdSxsy7xHA87G65l56D6/8lFzrhz7vpFHM3tUOrffcPksnMO69at4+TJkwwePBgbG5sS24K7C4atW7eO559/HqVSiUqlQqW6u0DYvX9lIpMQ2jp06FDm95UQQojHJ4mxEKJcderb0SDCXddhiHKYWeWScvLPMuu09vXkwLmLHDp/ibSbt/j9yDHyCwsJ86wNoLVYF0AL7zrk5Bfwx9/H0TN1Zvv+3czb9yNDGvbU1Jmx/DP++ecfevXqhZGREdnZ2WRnZ1NQUFCs/7/++gtTU1P8/O7umezu7k5SUhKXLl1i3759ODg4YPz/W0YJIcDLy4uwsDBdhyGEEM88WXxLCFEhzXp4kZJ4g/TzJY9GCt0zMjpIUQnJ6P0auLuSnZfP5mOnuZWbh6u1JSNaNcHi/6dS379YF4C1qQkjWzVhTdwJ3v7xB5zNHXi5cW/GNR0IQIGRmh1/7gRg6dKlWn1FRkbSoEEDzefZ2dns3r2b4cOHa8pq1apF8+bNWb58OWZmZvTo0eNxboEQzxRzc3N69eolU6iFEKIayOJbQogKu3ntDitnHSL/TqGuQxEPsHbM4sqphVXWvkKhR7+gqahvaX/tkz1vsyV1f5X1K0RNpVAoGDx4MJ6enroORQghagSZSi2EqDBLexPaRPnpOgzxADVqCnJiqrSP+vXaFEuKAc4r0qu0XyFqqjZt2khSLIQQ1UgSYyHEQ/Fp7ERAS1ddhyHu41grlYyLZ6u0D2+70GJlhUo159KTq7RfIWoib29vWrVqpeswhBCiRpHEWAjx0Fr28cHW1UzXYQhAz0DF9ZSSt2eqLMYmlhilF1+S4oprLoWFMq1eiMpkaWlJz5495bliIYSoZpIYCyEemoFSn44j6mOglB8humbvcobszKtV2kdoQCfUBapi5ef1ZRq1EJVJT0+P3r17Y2YmbzwKIUR1k79qhRCPxNbVjJb9fHUdRo1mZJrPlcQdVd5PLUPvYmWFBmrOXZVp1EJUpvbt2+PuLlvjCSGELkhiLIR4ZAHhrviEOek6jBrLwvof8u/kVGkfDg4eKNKLipWn18ojPz+/SvsWoibx8/MjPDxc12EIIUSNJYmxEOKxtInyw9rJVNdh1DgWtre5nLCnyvtp6P08lLCp33nDqp2+LURNYm1tLXt4CyGEjkliLIR4LEpjA7pNCMbYzFDXodQoeuxFrSr+3G9ls811LFZWpK/m7NULVd63EDWBvr4+ffr0wcTERNehCCFEjSaJsRDisVk5mNJ5bBD6BvIjpTrYuWSQdja+yvvx9W6G+kZBsfJrtfLIy8ur8v6FqAl69OhBrVq1dB2GEELUePJXrBCiUrh6W9N2UD1dh/HsU6i5nVn1C24B+Ds3L7H8vDKjWvoX4lnXtm1bgoKCdB2GEEIIJDEWQlQiv6bONO7qoeswnmmObhe5ceVilfdjaGiMSUbxqZ0qPTVnMmQatRCPKyQkhNatW+s6DCGEEP9PEmMhRKVq2t1LVqquIgbKIq6e31YtfTUMeB51bvHVqK+55nPnzp1qiUGIZ1WdOnXo3r27rsMQQghxH0mMhRCVrv1gf5y9rHQdxjPH1imBOzdvVEtf7maBJZZfMMmslv6FeFbZ2trSr18/DAwMdB2KEEKI+0hiLISodPqGenQZG4SlvbGuQ3lmmFjkcjkhplr6srZ2Rj+t+B5NaoVMoxbicZiYmBAVFYWpqWxxJ4QQTxpJjIUQVcLEQkm3CSEYmcqoSGUwMT1CUUF+tfTVqF4nUBVPjDNcCridc7taYhDiWaOvr0///v2xs7PTdShCCCFKIImxEKLK2Dib0WlUffT0FboO5alm5XCTlFMHq60/x0K3EssvmMk0aiEe1QsvvECdOnV0HYYQQohSSGIshKhSbvVsaT3AT9dhPNVUeX+CuvgIblXwcA9BnVF872K1Qs2Z68nVEoMQz5rWrVsTEhKi6zCEEEKUQRJjIUSVC3jOlYYd3HUdxlPJvtYVrl44XW391a/dqsTy686F3Mq+VW1xCPGsCAkJoW3btroOQwghRDkkMRZCVIvmveri19RZ12E8VRT6KrKubK+2/vT09DHPsizx2AXz69UWhxDPisDAQCIjI3UdhhBCiAqQxFgIUS0UCgXthvhTt5GDrkN5aji4nuPWtbRq6y/Yvz3q24UlHjuTJdOohXgYfn5+9OrVCz09+VNLCCGeBvLTWghRbfT0FHQYHohHkKzKWh6lcSFpZ6pvtBjAy7pBieU3nArJuplVrbEI8TSrW7cuffr0QV9fX9ehCCGEqCBJjIUQ1UpfX49Oo4Jwq2ej61CeaFZ2/5BXjVsjmZnZYJhe8q+EZMsb1RaHEE+7OnXq0L9/fwwMZKs6IYR4mkhiLISodvqGenQZF4yLt5WuQ3kimVvf4XLC7mrts1FAJygseeXrMzdlGrUQFeHm5sbAgQMxNDTUdShCCCEekiTGQgidMFTq021CCE6eJS/2VJMZGOxDVVRUrX266nmVWH7ToZDMLFl4S4jyuLi48NJLL2FkZKTrUIQQQjwCSYyFEDqjNDbghYkNJDm+j61zJlcS46q1TxdnH0gvedGtZGt5tliI8jg6OjJo0CCMjY11HYoQQohHJImxEEKnlCZ3k2NnL0mOQU3uzZhq7zXEK6LUY2ezL1VjJEI8fezs7Bg8eDCmpqa6DkUIIcRjkMRYCKFzShMDuk9sgLNXzX7m2MHtEpmXz1dvpwoF1rdtSzx0y7aIq9evVW88QjxFbG1tGTx4MObm5roORQghxGOSxFgI8URQGhvQfWIILnVrZnKsb1hExsXq3Z4JIMC3JeqbJU+jvmgn06iFKI2zszMvv/wyVlY182eWEEI8ayQxFkI8MZTGBnR7JaRGrlZt53SKnBuZ1d6vr0NYqcfO5lyuxkiEeHrUqVOHoUOHykixEEI8QyQxFkI8Ue6OHDfAI8hO16FUGxOzPFJO7az2fpVKU4yvKks8dttaRVpGejVHJMSTz9fXl5deekkW2hJCiGeMJMZCiCeOoVKfzmODCWjpqutQqoWpxd8U5udVe7+NAjuhzleVeOyiw81qjkaIJ19wcDD9+vWTfYqFEOIZJImxeOYkJSUxa9YscnJydB3KEy8nJ4eZM2eSlJSk61CK0dNT0DaqHk1fKHl/3WeFpf0tUk7u10nftY3rlXrs7B2ZRi3E/Zo1a0bPnj3R19fXdShCCCGqgCTGTxiFQsHq1at1HUal8/DwYO7cuVXeT35+Pn379sXR0VFr64yYmBgUCgU3btwo8/zqilMXlixZgrW1tVbZyJEjSUlJwdPTUzdBVUDjLh60H+qPnr5C16FUjcI9qNUlj9pWJTtbN/TSiko8dsdSReq1K9UckRBPrrZt29KpUycUimf055AQQohHT4xnz56NQqHg1VdfrcRw/ufGjRuMHz8eFxcXjIyM8PX1ZcOGDVXSlyhZRZPJJ8nbb79NREQEI0eOLLNeSUkiwKFDhxg1alQVRfdohg4dikKhKPYRGBj4WO1GR0eTk5PDvHnzKinSqlOvmQvdxodgaPxsjdTYuV4lPSlBJ3039OsI6pKPXXS8Vb3BCPGEUigUdO3aldatW+s6FCGEEFXM4FFOOnToEPPnzyc4OLiy4wHujvp16NABR0dHfv31V2rVqsWFCxdKTGSEtqKiIhQKBXp6NXMywBdffPFY5zs4OFRSJJUnOjqa2bNnaz4vLCwkJCSEPn36PFa7kyZNYtKkSY8bXrWpHWBLr8mNWPfvo9zOytd1OI9Noaci++o2nfVvn++CmoISj53LT6nmaIR48ujp6dGzZ0+CgoJ0HYoQQohq8NDZU3Z2NlFRUSxYsAAbG5ty6x86dIgOHTpgb2+PlZUVrVu35q+//irznEWLFpGZmcnq1asJDw/Hw8OD1q1bExISUmL9mzdvYmJiwsaNG7XKV61ahYWFheZZ04sXL9K3b1+sra2xtbUlMjKS8+fPF+s7MDAQIyMjXFxcmDBhgubYjRs3GDFiBA4ODlhaWtKuXTuOHj2qOX706FHatm2LhYUFlpaWhIaGcvjw4VKvMzExkVatWmFsbExAQABbt27VOl7SiG1cXBwKhUIT972RzzVr1hAQEICRkRHJyckVuu8KhYLvv/+enj17Ympqio+PD2vWrAHg/PnztG3bFgAbGxsUCgVDhw4FQKVS8fHHH+Pp6YmJiQkhISH8+uuvpV5nSZKTk4mMjMTc3BxLS0v69u1LWlraI93L8+fPo1AoiIuL05TduHEDhUJBTExMsfoxMTEMGzaMrKwszejrjBkzgOJTqRUKBfPnz6dbt26Ympri7+/Pvn37OHPmDG3atMHMzIwWLVpw9uxZrT6++eYb6tati1KpxM/Pj2XLlmmOqdVqZsyYgbu7O0ZGRri6ujJx4sRS75WVlRXOzs6aj8OHD3P9+nWGDRtWxh2++9pwd3fH1NSUnj17kpGRoXV8xowZNGjQQPN5ea+Zh427Kti7WfDilMbYuJhVa79VwcHtAlnpqTrp29uzMerMkpPiXHMVl6/qJi4hnhQmJia89NJLkhQLIUQN8tCJ8fjx4+natSsREREVqn/r1i2GDBnCnj172L9/Pz4+PnTp0oVbt0qfqrdmzRqaN2/O+PHjcXJyon79+nz00UcUFZX8PJylpSXdunVj+fLlWuU//fQTPXr0wNTUlIKCAjp27IiFhQW7d+8mNjYWc3NzOnXqRH7+3dGnb775hvHjxzNq1Cji4+NZs2YN3t7emvb69OlDeno6Gzdu5MiRIzRq1Ij27duTmXl379GoqCjc3Nw4dOgQR44c4e233y515UqVSkWvXr1QKpUcOHCAb7/9lilTplTonj4oJyeHTz75hO+//57jx4/j6OhY4fv+/vvv07dvX/755x+6dOlCVFQUmZmZ1K5dm99++w2AU6dOkZqaSnR0NAAff/wxP/zwA99++y3Hjx/ntdde46WXXmLXrl0VilelUhEZGUlmZia7du1i69atnDt3jn79+mnqPMy9fFgtWrRg7ty5WFpakpqaSmpqKpMnTy61/ocffsjgwYOJi4ujXr16DBw4kNGjRzN16lQOHz6MWq3WegNl1apVTJo0iTfeeINjx44xevRohg0bxs6dd7fj+e233/jyyy+ZP38+iYmJrF69+qH++Fq4cCERERHUqVOn1DoHDhxg+PDhTJgwgbi4ONq2bcvMmTPLbLe818zjxl1ZLGyNefHNRrj6WFd735VFaVxI+lndjRb713qu1GOXnLNRq0uZYy1EDeDg4MDIkSPx8nq2F/4TQgih7aGmUq9YsYK//vqLQ4cOVficdu3aaX3+3XffYW1tza5du+jWrVuJ55w7d44dO3YQFRXFhg0bOHPmDOPGjaOgoIDp06eXeE5UVBSDBg0iJycHU1NTbt68yfr161m1ahUAK1euRKVS8f3332sWz1i8eDHW1tbExMTw/PPPM3PmTN544w2t6aVhYWEA7Nmzh4MHD5Keno6RkREAc+bMYfXq1fz666+MGjWK5ORk3nzzTerVu7vSq4+PT6n3Zdu2bZw8eZLNmzfj6np3S5qPPvqIzp07l3tPH1RQUMDXX3+tNaJe0fs+dOhQBgwYoOn/q6++4uDBg3Tq1AlbW1sAHB0dNdPY8/Ly+Oijj9i2bRvNmzcHwMvLiz179jB//vwKPYe1fft24uPjSUpKonbt2gD88MMPBAYGcujQIcLCwh7qXj4spVKJlZUVCoUCZ2fncusPGzaMvn37AjBlyhSaN2/OtGnT6NixI3B3SvL9o7dz5sxh6NChjBs3DoDXX3+d/fv3M2fOHNq2bUtycjLOzs5ERERgaGiIu7s7TZo0qVDsKSkpbNy4sdibQA+Kjo6mU6dOvPXWW8DdfTf37t3Lpk2bSj2nvNfM48Rd2YxMDXlhYgO2LT3BmcNP3167VnbHuZiqm+d49fWVmGWaoqbkNxrPFchosai5fH19efHFFzW/54UQQtQcFR4xvnjxIpMmTeKnn356qE3t09LSGDlyJD4+PlhZWWFpaUl2djbJycmlnqNSqXB0dOS7774jNDSUfv368c477/Dtt9+Wek6XLl0wNDTUTAX+7bffsLS01IxsHz16lDNnzmBhYYG5uTnm5ubY2tqSm5vL2bNnSU9PJyUlhfbt25fY/tGjR8nOzsbOzk5zvrm5OUlJSZpptK+//jojRowgIiKC2bNnF5tee7+EhARq166tSYoBTaL5sJRKZbHnvSt63+8/z8zMDEtLS9LTS080zpw5Q05ODh06dNC6Dz/88EOZ13u/e9d+LykGCAgIwNramoSEuwsRPcy9rGr33yMnJycArZFSJycncnNzuXnz7r6vCQkJhIeHa7URHh6uubY+ffpw584dvLy8GDlyJKtWraKwsLBCsSxduhRra2t69OhRZr2EhASaNm2qVVbe66u818zjxF0V9A31eH54ICERtcuv/AQxtcol5WTFZldUhQaBHVDfKTkpzjdVcTFdtmkSNdNzzz1H//79JSkWQogaqsIjxkeOHCE9PZ1GjRppyoqKivjzzz+ZN28eeXl5Je7tN2TIEDIyMoiOjqZOnToYGRnRvHlzzfTlkri4uGBoaKjVnr+/P1euXCE/Px+lUlnsHKVSSe/evVm+fDn9+/dn+fLl9OvXDwODu5eYnZ1NaGgoP/30U7FzHRwcyl2sKjs7GxcXlxKfWb03mjpjxgwGDhzI+vXr2bhxI9OnT2fFihX07NmzzLZLcy+m+6c1FhQUfy7QxMSk2BYSFb3vD05PVigUqFSlbx2TnZ0NwPr166lVq5bWscr8Y+Jh7mVF79Ojuv8e3bvPJZWVdd/uV7t2bU6dOsW2bdvYunUr48aN47PPPmPXrl1lThdXq9UsWrSIQYMGlfg98LjKe808atxVSaFQ8FxvH2xdzNi94jSFBdW/7dHDMlIeoEiHbyh4WtSHUgarL7vkoL4s06hFzWJgYEBkZKQ8TyyEEDVchUeM27dvT3x8PHFxcZqPxo0bExUVRVxcXKkb3sfGxjJx4kS6dOmiWdTq2rVrZfYVHh7OmTNntBKN06dP4+LiUmZCEBUVxaZNmzh+/LhmKvY9jRo1IjExEUdHR7y9vbU+rKyssLCwwMPDg+3bt5fYdqNGjbhy5QoGBgbFzre3t9fU8/X15bXXXmPLli306tWLxYsXl9iev78/Fy9eJDX1f9MW9+/fr1Xn3grJ99e5f4GpsjzKfX/QvXt9/7Pd9y/w9eB9uH8EuCz3rv3ixYuashMnTnDjxg0CAgI0ZRW9l49yn5RKZanPrD8uf39/YmNjtcpiY2O1rs3ExITu3bvz1VdfERMTw759+4iPjy+z3V27dnHmzBmGDx9eoRgOHDigVfbg6+tBFXnNPErc1SEg3JUXp4Ri5WCi61DKZON0g9TTR3TWv4WlA/pppe/Deq5IplGLmsXS0pKXX35ZkmIhhBAVHzG2sLCgfv36WmVmZmbY2dkVK7+fj48Py5Yto3Hjxty8eZM333wTE5Oy/3gdO3Ys8+bNY9KkSbzyyiskJiby0UcflbsCbqtWrXB2diYqKgpPT0+tqaRRUVF89tlnREZG8sEHH+Dm5saFCxf4/fffeeutt3Bzc2PGjBmMGTMGR0dHOnfuzK1bt4iNjeWVV14hIiKC5s2b06NHDz799FN8fX1JSUlh/fr19OzZk8DAQN5880169+6Np6cnly5d4tChQ7z44oslxhoREYGvry9Dhgzhs88+4+bNm7zzzjtade4lmzNmzGDWrFmcPn2azz//vMx78Dj3/UF16tRBoVCwbt06unTpgomJCRYWFkyePJnXXnsNlUrFc889R1ZWFrGxsVhaWjJkyJBy242IiCAoKIioqCjmzp1LYWEh48aNo3Xr1jRu3Jg7d+481L00MTGhWbNmzJ49G09PT9LT03n33XfLjMHDw4Ps7Gy2b99OSEgIpqammJqaPtT9Kc2bb75J3759adiwIREREaxdu5bff/+dbdvuLra0ZMkSioqKaNq0Kaampvz444+YmJiUuZgW3F10q2nTpmV+v90zceJEwsPDmTNnDpGRkWzevLnM54uh/NfMo8ZdXezdLOj7rzB2/JDA2b+v6jqcYtSoyc+O0WkMof6dIL3kEeF8YzUX0i9Vc0RC6I6bmxv9+vXDwsJC16EIIYR4AlT5ZrcLFy7k+vXrNGrUiEGDBjFx4kQcHR3LPKd27dps3ryZQ4cOERwczMSJE5k0aRJvv/12mecpFAoGDBjA0aNHtUaLAUxNTfnzzz9xd3enV69e+Pv7M3z4cHJzc7G0tATuTiWdO3cuX3/9NYGBgXTr1o3ExERN2xs2bKBVq1YMGzYMX19f+vfvz4ULF3ByckJfX5+MjAwGDx6Mr68vffv2pXPnzrz//vslxqqnp8eqVau4c+cOTZo0YcSIEcyaNUurjqGhIf/97385efIkwcHBfPLJJ+WuLHzPo9z3B9WqVYv333+ft99+GycnJ83Kyx9++CHTpk3j448/xt/fn06dOrF+/Xo8PT0r1K5CoeCPP/7AxsaGVq1aERERgZeXFytXrgR46HsJd7fZKiwsJDQ0lFdffbXc+9SiRQvGjBlDv379cHBw4NNPP63gXSlfjx49iI6OZs6cOQQGBjJ//nwWL15MmzZtgLtT7xcsWEB4eDjBwcFs27aNtWvXYmdnV2qbWVlZ/PbbbxUaLQZo1qwZCxYsIDo6mpCQELZs2VLumwXlvWYeJe7qpjQxoNPoIMJ7e6OnX/rIqC44uKWScemcTmNwUruXeizV9XaFHwcQ4mnXoEEDhg4dKkmxEEIIDYVa9uUQQjyDUs9mseX7Y2Rfz9N1KOgbFEHhT9y+/nCPM1Qmt1oBhCu7l3o8xuscZ1KSqjEiIaqfvr4+HTt21NmK+kIIIZ5cVT5iLIQQuuBS14q+74RRO8BW16Fg53JGp0kxQLBH21KPFRipSUorfacAIZ4Ftra2jBgxQpJiIYQQJZLEWAjxzDIxV9J9QghhXT1Q6GhmtZFZAamnd+im8/+nUOhhecu61ONXXO9U2WJ0QjwJgoKCGD16NC4uLroORQghxBOqwotvCSHE00ihp6BJdy+c61qxddEJcrMrbyuvirCw/JusS3eqtc8H1a/XBvWt0reISlKkVWM0QlQfQ0NDOnfurLXVpBBCCFESGTEWQtQI7gF29HsnDGcvy2rr08L2NpdP7q22/krjbRda6rEiQzVJVy+WelyIp5WzszOjRo2SpFgIIUSFSGIshKgxzG2M6fFGIxp1qoNCr+rnVusRi1rHKz0bm1iiTC99ctCVWrkUFFTvKLoQVa1FixaMGDFCs8+9EEIIUR6ZSi2EqFH09fVo3qMudRs6sOOHBDIu366SfuxcrnH5xLEqafthhAZ0hszSk/Mk/fRqjEaIqmVpaUmPHj3w8vLSdShCCCGeMpIYCyFqJMc6lvT5VxhHNpznyKYLqIoqcec6hZrbGbpdcOueWoZ1gZIX1ioyUHPuqqxGLZ4NAQEBdOvWDVNTU12HIoQQ4ikkibEQosbS19ejSXcvvBo6suOHBK4m36qUdh3dLpD8z6VKaeux4nD0RJFe+mrT6a555KfnV2NEQlQ+CwsLunbtSr169XQdihBCiKeYJMZCiBrP3s2c3lNC+WtLMofXn6eo8NGfCzZUFnI1aXslRvfoGnp3gNTSj59XXq2+YISoAo0bNyYiIgJjY2NdhyKEEOIpJ4mxEEIAevp6NO7sgVeIAzuWJZCWdPOR2rFxTCA5PquSo3s0NnccUVPywloqfTVnZRq1eErZ29vTvXt36tSpo+tQhBBCPCMUarW6Eh+sE0KIp59apSZu+0UOrjlHYUHFR49NLfLISl1AUYHupyf7ejenYVGrUo9fqZ3Huqt7qjEiIR6fnp4ezz33HK1atcLAQN7bF0IIUXnkt4oQQjxAoaegYQd3PIPt2bEsgdQzFRsBNjY9ROYTkBQD+Ds3h8ulH79gdK36ghGiEri5udG9e3ecnJx0HYoQQohnkCTGQghRCmsnU3q+0Yj4mMsc+OMs+bmlL2Rl7XiTlJMHqzG60hkaGmOSYYy6lNWoVXpqzmbINGrxdFAqlbRv356wsDD09PR0HY4QQohnlPyGEUKIMigUCoLbuhH1QXP8W7igUJRcr/DOruoNrAwNAzuiLiOJv+aST86dnGqMSIhHU69ePcaPH0/Tpk0lKa4EBw4cIDo6GnmKTgjdSUpKYtasWeTkyO/h8uTk5DBz5kySkpKqpT/5LSOEEBVgaqmk3WB/+kwNw8XbSuuYfa0rXEtO1FFkxbmbBpR5/IJpZjVFIsSjcXV1ZejQofTv3x8rK6vyTxDlunTpEn379qVhw4YoSnuHTwcUCgWrV68u9fj58+dRKBTExcVVW0wPmjFjBg0aNHjsdsq71mfRk/D1qwgPDw/mzp1b5f3k5+fTt29fHB0dtfZcj4mJQaFQcOPGjTLPr644dWHJkiVYW1trlY0cOZKUlBQ8PT2rJQZJjIUQ4iE4uFvQa3Ioz48IxNzWCD19FVmp23Qdloa1tTP6aaWPBqkVas5mXqjGiISoOEtLS3r16sXIkSPx8PDQWRxDhw5FoVAwe/ZsrfLVq1c/UUllRd37Y/zzzz+nVavSF+XThdTUVDp37qzrMISoFm+//TYRERGMHDmyzHolJYkAhw4dYtSoUVUU3aO59/PywY/AwMDHajc6OpqcnBzmzZtXSZGWT54xFkKIR+DT2AnPYHviYw6z+6dbug5Ho1G9TlBGYpzhUkB25u1qjEiI8imVSlq2bEmzZs0wNDTUdTgAGBsb88knnzB69GhsbGx0Hc5jUSqV7N27V9dhlMjZ2VnXIQhRbb744ovHOt/BwaGSIqk80dHRWm8iFhYWEhISQp8+fR6r3UmTJjFp0qTHDe+hyIixEEI8IgOlPg2fb8rw6O8Ieb4revr6ug4Jx0K3Mo8nm12vpkiEKJ9CoSA0NJSJEyfSsmXLJyYpBoiIiMDZ2ZmPP/64zHq//fYbgYGBGBkZ4eHhweeff15u22vXriUsLAxjY2Ps7e3p2bOn5tj169cZPHgwNjY2mJqa0rlzZxIT//eoxr2RpHXr1uHn54epqSm9e/cmJyeHpUuX4uHhgY2NDRMnTqSo6H9rDVRkCuaiRYs01+Li4sKECRM0x5KTk4mMjMTc3BxLS0v69u1LWlqa5vi96caLFi3C3d0dc3Nzxo0bR1FREZ9++inOzs44Ojoya9YsrT4fnF588OBBGjZsiLGxMY0bN+bvv//Wql9UVMTw4cPx9PTExMQEPz8/oqOjy7yu69evExUVhYODAyYmJvj4+LB48WLN8SlTpuDr64upqSleXl5MmzaNgoKS94CHu6N2HTp0wN7eHisrK1q3bs1ff/2lVScxMZFWrVphbGxMQEAAW7duLdbOw/YLEB8fT7t27TAxMcHOzo5Ro0aRnZ39SNd+b5rz77//Ttu2bTE1NSUkJIR9+/Zpzs/IyGDAgAHUqlULU1NTgoKC+O9//6vVh0ql4tNPP8Xb2xsjIyPc3d2LfZ3vKSoq4uWXX6ZevXokJyejVquZMWMG7u7uGBkZ4erqysSJE8u8B3/88QeNGjXC2NgYLy8v3n//fQoLCzXHFQoF33//PT179sTU1BQfHx/WrFlTZpsPKu/1fvToUdq2bYuFhQWWlpaEhoZy+PDhEtsqaTr5jRs3UCgUxMTEFKsfExPDsGHDyMrK0oy+zpgxAyj+faxQKJg/fz7dunXD1NQUf39/9u3bx5kzZ2jTpg1mZma0aNGCs2fPavXxzTffULduXZRKJX5+fixbtkxz7GG/JlZWVjg7O2s+Dh8+zPXr1xk2bFgZd/juzzJ3d3dMTU3p2bMnGRkZWscffIShvO+7R3ktPUgSYyGEeExm1jZEDB/L0M+/xqdpC53F4eEegjqj9D+q1Ao1Z27IatTiyeDt7c3YsWPp3r075ubmug6nGH19fT766CP+/e9/c+nSpRLrHDlyhL59+9K/f3/i4+OZMWMG06ZNY8mSJaW2u379enr27EmXLl34+++/2b59O02aNNEcHzp0KIcPH2bNmjXs27cPtVpNly5dtBKmnJwcvvrqK1asWMGmTZuIiYmhZ8+ebNiwgQ0bNrBs2TLmz5/Pr7/+WuHr/eabbxg/fjyjRo0iPj6eNWvW4O3tDdxNfCIjI8nMzGTXrl1s3bqVc+fO0a9fP602zp49y8aNG9m0aRP//e9/WbhwIV27duXSpUvs2rWLTz75hHfffZcDBw6UGEN2djbdunUjICCAI0eOMGPGDCZPnqxVR6VS4ebmxi+//MKJEyd47733+Ne//sXPP/9c6rVNmzaNEydOsHHjRhISEvjmm2+wt7fXHLewsGDJkiWcOHGC6OhoFixYwJdffllqe7du3WLIkCHs2bOH/fv34+PjQ5cuXbh165Ymxl69eqFUKjlw4ADffvstU6ZMKdbOw/Z7+/ZtOnbsiI2NDYcOHeKXX35h27ZtWm9gPOy1A7zzzjtMnjyZuLg4fH19GTBggCbRzM3NJTQ0lPXr13Ps2DFGjRrFoEGDOHjwf7swTJ06ldmzZ2v6Wr58eYnbquXl5dGnTx/i4uLYvXs37u7u/Pbbb3z55ZfMnz+fxMREVq9eTVBQUKnXs3v3bgYPHsykSZM4ceIE8+fPZ8mSJcUS8ffff5++ffvyzz//0KVLF6KiosjMrNj6GhV5vUdFReHm5sahQ4c4cuQIb7/9dqW9sdeiRQvmzp2LpaUlqamppKamFvs+uN+HH37I4MGDiYuLo169egwcOJDRo0czdepUDh8+jFqt1nqNrFq1ikmTJvHGG29w7NgxRo8ezbBhw9i5cyfAQ39NHrRw4UIiIiKoU6dOqXUOHDjA8OHDmTBhAnFxcbRt25aZM2eW2W5533ePGzfIVGohhKg0Ni61eOH1f5Fy+iR//rSYyyePV2v/9Wu3hpTSj99wKuTmjZvVF5AQJXB2dqZDhw7UrVtX16GUq2fPnjRo0IDp06ezcOHCYse/+OIL2rdvz7Rp0wDw9fXlxIkTfPbZZwwdOrTENmfNmkX//v15//33NWUhISHA3VHGNWvWEBsbS4sWd99k++mnn6hduzarV6/WTE0sKCjQjPgA9O7dm2XLlpGWloa5uTkBAQG0bduWnTt3FkteSzNz5kzeeOMNramLYWFhAGzfvp34+HiSkpKoXbs2AD/88AOBgYEcOnRIU0+lUrFo0SIsLCw0MZw6dYoNGzagp6eHn58fn3zyCTt37qRp06bFYli+fDkqlYqFCxdibGxMYGAgly5dYuzYsZo6hoaGWvfO09OTffv28fPPP9O3b98Sry05OZmGDRvSuHFjgGLPr7/77rua/3t4eDB58mRWrFjBW2+9VWJ77dq10/r8u+++w9raml27dtGtWze2bdvGyZMn2bx5M66urgB89NFHxZ6lfth+ly9fTm5uLj/88ANmZmYAzJs3j+7du/PJJ5+UmIyWd+0AkydPpmvXrsDdhDIwMJAzZ85Qr149atWqpZWUvfLKK2zevJmff/6ZJk2acOvWLaKjo5k3bx5DhgwBoG7dujz33HNafWRnZ9O1a1fy8vLYuXOnZlG95ORknJ2diYiIwNDQEHd3d603ih70/vvv8/bbb2v68vLy4sMPP+Stt95i+vTpmnpDhw5lwIABwN17/9VXX3Hw4EE6depUatv3VOT1npyczJtvvkm9evUA8PHxKbfdilIqlVhZWaFQKCr0qMGwYcM0r/0pU6bQvHlzpk2bRseOHYG7U5LvH72dM2cOQ4cOZdy4cQC8/vrr7N+/nzlz5tC2bduH/prcLyUlhY0bN7J8+fIy60VHR9OpUyfNa93X15e9e/eyadOmUs8p7/vuceK+R0aMhRCikrn61qP/+58Q+eY0HDy8qqVPPT19zLMsyqxzwUKmUQvdqVWrFgMGDGDMmDFPRVJ8zyeffMLSpUtJSEgodiwhIYHw8HCtsvDwcBITE7WmMd8vLi6O9u3bl3gsISEBAwMDraTRzs4OPz8/rf5NTU217qGTkxMeHh5aI+9OTk6kp6dX6BrT09NJSUkpM67atWtrkgSAgIAArK2tteLy8PDAwuJ/P4ecnJwICAjQ2mqrrLgSEhIIDg7G2NhYU9a8efNi9f7zn/8QGhqKg4MD5ubmfPfddyQnlz4bZuzYsaxYsYIGDRrw1ltvFXveeuXKlYSHh+Ps7Iy5uTnvvvtume2lpaUxcuRIfHx8sLKywtLSkuzsbM059+7XvaS4tOt42H4TEhIICQnRJMVw9/WmUqk4derUI107QHBwsOb/Li4uAJqvUVFRER9++CFBQUHY2tpibm7O5s2bta41Ly+v1NfOPQMGDOD27dts2bJFa6X5Pn36cOfOHby8vBg5ciSrVq3Smhb9oKNHj/LBBx9gbm6u+Rg5ciSpqala2x/df01mZmZYWlpW+PuhIq/3119/nREjRhAREcHs2bOLTVWuTvdf6703R+4fKXVyciI3N5ebN+++MV7az6171/awX5P7LV26FGtra3r06FFmvYSEhGJvjpX0PXK/8r7vHifueyQxFkKIKuLduCmDP/mKnlOm4+rrX6V9BQdEoL5d9i+AM1kyjVpUvzp16jBo0CBGjhyJn5+frsN5aK1ataJjx45MnTq1UtozMTF57DYenLKpUChKLFOpVNUWU1XEVZIVK1YwefJkhg8fzpYtW4iLi2PYsGHk5+eXek7nzp25cOECr732muYNgHujoPv27SMqKoouXbqwbt06/v77b955550y2xsyZAhxcXFER0ezd+9e4uLisLOzK/OcBz1Kv4+irGu/5/6v0b1V1+99jT777DOio6OZMmUKO3fuJC4ujo4dO2rirOhrp0uXLvzzzz9azy8D1K5dm1OnTvH1119jYmLCuHHjaNWqVanPWmdnZ/P+++8TFxen+YiPjycxMVHrDZXKft09aMaMGRw/fpyuXbuyY8cOAgICWLVqVYl1770xdP/+4eU9S/4wSvr6lfU1Lc/Dfk3uUavVLFq0iEGDBqFUKh/2MspV3vfdo8Z9P0mMhRCiink1CmPAh5/Rd/rH1AluWDV9WIWUefyGYwE3bmZVSd9ClKRu3boMGzaMYcOGPVUjxCWZPXs2a9euLfZHvb+/P7GxsVplsbGx+Pr6ol/KYnzBwcFs3769xGP+/v4UFhZqPYObkZHBqVOnCAgoe3/yx2FhYYGHh0eZcV28eJGLFy9qyk6cOMGNGzcqNS5/f3/++ecfcnNzNWX79+/XqnNvmvm4ceNo2LAh3t7eFRqtc3BwYMiQIfz444/MnTuX7777DoC9e/dSp04d3nnnHRo3boyPjw8XLpS9pV1sbCwTJ06kS5cumsXKrl27pnUdFy9eJDU1tdTreJR+/f39OXr0KLdv/29ngdjYWM009Ye99oqIjY0lMjKSl156iZCQELy8vDh9+rTmuI+PDyYmJqW+du4ZO3Yss2fP5oUXXmDXrl1ax0xMTOjevTtfffUVMTEx7Nu3j/j4+BLbadSoEadOncLb27vYx/0zEx5HRV/vvr6+vPbaa2zZsoVevXppLeh2v3srSd//eihvX2elUlnqrJPHVdrPrfuv7WG+Jvfs2rWLM2fOMHz48ArF8OBaAw9+jzyovO+7R437fvKMsRBCVJPaAUHUDgjiypnTHFj9M2cOHwB16VsrVZS5uQ2G6XpA6W0lW98AebxYVAM/Pz9atWpFrVq1dB1KpQkKCiIqKoqvvvpKq/yNN94gLCyMDz/8kH79+rFv3z7mzZvH119/XWpb06dPp3379tStW5f+/ftTWFjIhg0bmDJlCj4+PkRGRjJy5Ejmz5+PhYUFb7/9NrVq1SIyMrJKr3HGjBmMGTMGR0dHOnfuzK1bt4iNjeWVV14hIiJCcw/mzp1LYWEh48aNo3Xr1ppnVyvDwIEDeeeddxg5ciRTp07l/PnzzJkzR6uOj48PP/zwA5s3b8bT05Nly5Zx6NAhPD09S233vffeIzQ0lMDAQPLy8li3bh3+/v6a9pKTk1mxYgVhYWGsX7++1JG/+2NYtmwZjRs35ubNm7z55ptaI6cRERH4+voyZMgQPvvsM27evMk777xTrI2H7TcqKorp06czZMgQZsyYwdWrV3nllVcYNGhQic8Xl3ftFeHj48Ovv/7K3r17sbGx4YsvviAtLU2TRBkbGzNlyhTeeustlEol4eHhXL16lePHjxdLkF555RWKioro1q0bGzdu5LnnnmPJkiUUFRXRtGlTTE1N+fHHHzExMSl14ab33nuPbt264e7uTu/evdHT0+Po0aMcO3as3MWbKqq81/udO3d488036d27N56enly6dIlDhw7x4osvltieiYkJzZo1Y/bs2Xh6epKenq71fHlJPDw8yM7OZvv27YSEhGBqaoqpqWmlXN+bb75J3759adiwIREREaxdu5bff/+dbdu2ATz01+SehQsX0rRpU+rXr19uDBMnTiQ8PJw5c+YQGRnJ5s2by3y+GMr/vnvUuO8nI8ZCCFHNnL19iZz8LkPn/If6bZ9H/zFXsmzk3xkKy06wz94seVVdISqDQqEgMDCQMWPGaLZ2edZ88MEHxaYiNmrUiJ9//pkVK1ZQv3593nvvPT744INSF94CaNOmDb/88gtr1qyhQYMGtGvXTmuF38WLFxMaGkq3bt1o3rw5arWaDRs2VPlWVkOGDGHu3Ll8/fXXBAYG0q1bN802UQqFgj/++AMbGxtatWpFREQEXl5erFy5slJjMDc3Z+3atcTHx9OwYUPeeecdPvnkE606o0ePplevXvTr14+mTZuSkZGhWUSoNEqlkqlTpxIcHEyrVq3Q19dnxYoVALzwwgu89tprTJgwgQYNGrB3717NYmqlWbhwIdevX6dRo0YMGjSIiRMn4ujoqDmup6fHqlWruHPnDk2aNGHEiBHFVk1+lH5NTU3ZvHkzmZmZhIWF0bt3b9q3b8+8efMe6dor4t1336VRo0Z07NiRNm3a4OzsXOz50WnTpvHGG2/w3nvv4e/vT79+/Up9nvfVV1/l/fffp0uXLuzduxdra2sWLFhAeHg4wcHBbNu2jbVr12JnZ1fi+R07dmTdunVs2bKFsLAwmjVrxpdffvlQyU95ynu96+vrk5GRweDBg/H19aVv37507txZa1G4By1atIjCwkJCQ0N59dVXy03iW7RowZgxY+jXrx8ODg58+umnlXZ9PXr0IDo6mjlz5hAYGMj8+fNZvHgxbdq0AXjorwlAVlYWv/32W4VGiwGaNWvGggULiI6OJiQkhC1btpT7ZkF533ePEveDFGp1JQxXCCGEeGQ5WTf4e/N6jm7dwJ1HmO7cr+k7kF7688U37Qv5OXtXqceFeFRGRkaEhITQpEmTYlvACCGEEE8TSYyFEOIJUZifz4ndOziy/g8yL18s/wTA1cWXlsY9y6xzzCeD/RfjKiFCIe5ycnIiLCyM4ODgKllkRQghhKhukhgLIcQTRq1WkxR3mL82rCE5/ihqdekrSXYKH4tVimWZ7f3hepSrmdfKrCNEefT19QkICCAsLAx3d3ddhyOEEEJUKll8SwghnjAKhQKvhmF4NQzj5tV0jsVs4/iu7dy8mvZgRayzbVFT+jTqbNsiSYrFY7G2tiY0NJRGjRpp7Z8qhBBCPEtkxFgIIZ4CarWa5PijHIvZypmD+ygsyCfArxVB+c3LPC/B5zqxF/+qpijFs0KhUODt7U1YWFilboMihBBCPKkkMRZCiKdMbnY2CbEx2KTZYnCi7H0O17kd48q1tDLrCHGPs7Mz9evXp379+lhbW+s6HCGEEKLaSGIshBBPsYK02+T8nU5O3FWKbuRpHbttreK/uTt1FJl4WtjZ2WmSYQcHB12HI4QQQuiEJMZCCPEMUKvV5CffIicunTvHrqG6VcApnxvsvnhE16GJJ5CVlRWBgYEEBQXh4uKi63CEEEIInZPEWAghnjFqlZr88zc5cv4fDhw9TFbWw++NLJ49ZmZmBAQEEBQURO3atVEoFLoOSQghhHhiSGIshBDPuJSUFE6ePElCQgJXr17VdTiiGjk4OODt7Y2Pjw8eHh6yiJYQQghRCkmMhRCiBsnIyODUqVOcO3eOCxcuUFBQoOuQRCUyMjLCy8sLb29vvL29sbKy0nVIQgghxFNBEmMhnjErV67EyMiIHj166DqUZ9LmzZtJSUlh2LBhug7lsRUVFXHp0iWSkpI4d+4cly5dQqVS6Tos8ZBcXFw0ibCbmxv6+vq6DkkIIYR46khiLMQzJCYmhhEjRrBnzx6cnZ11Hc4T4/z583h6evL333/ToEGDCp/n4eHBq6++yquvvgrA0aNH6datG1u2bMHf379qgtWh/Px8Lly4oEmUr1y5ouuQRAmsrKxwd3fH29ubunXrYm5uruuQhBBCiKeega4DEOJpM3v2bKZOncqkSZOYO3eursPRuHbtGhMmTGDt2rWSFFeB69evExUVxYoVK57JpBhAqVTi4+ODj48PADk5OSQlJZGUlMTly5dJT0+nqKjsfZNF5TI0NMTV1RU3NzfNh4WFha7DEkIIIZ45khgL8RAOHTrE/PnzCQ4O1nUoxdjb23Ps2DFdh/HMsrGxqXH319TUlMDAQAIDAwEoLCwkPT2d1NRUUlJSSE1NJS0tTZLlSmRnZ6eVBDs5OcmCWUIIIUQ1kN+2QlRQdnY2UVFRLFiwABsbm3Lrq1QqPvjgA9zc3DAyMqJBgwZs2rSpzHPatGnDK6+8wquvvoqNjQ1OTk4sWLCA27dvM2zYMCwsLPD29mbjxo2ac4qKihg+fDienp6YmJjg5+dHdHS0VrsxMTE0adIEMzMzrK2tCQ8P58KFCyXG0KJFC6ZMmaJVdvXqVQwNDfnzzz8ByMvLY/LkydSqVQszMzOaNm1KTEyM1jmxsbG0adMGU1NTbGxs6NixI9evX9fcm48//lgTc0hICL/++qvm3Hujsw4ODpiYmODj48PixYtLvW+bNm3iueeew9raGjs7O7p168bZs2fLvNcPSk9Pp3v37piYmODp6clPP/1UrI5CoWD16tWaz6dMmYKvry+mpqZ4eXkxbdq0Z3oxKwMDA1xdXQkNDaV79+6MGjWKf/3rX4waNYru3bsTGhqKq6urPONaAfr6+jg5OVG/fn3atWtHVFQUU6ZM4ZVXXqFnz56EhYXh4uIiSbEQQghRTWTEWIgKGj9+PF27diUiIoKZM2eWWz86OprPP/+c+fPn07BhQxYtWsQLL7zA8ePHNVNVS7J06VLeeustDh48yMqVKxk7diyrVq2iZ8+e/Otf/+LLL79k0KBBJCcnY2pqikqlws3NjV9++QV7e3v279/PiBEjcHFxoW/fvhQWFtKjRw9GjhzJf//7X/Lz8zl48GCpe5hGRUXx6aefMnv2bE2dlStX4urqSsuWLQGYMGECJ06cYMWKFbi6urJq1So6depEfHw8Pj4+xMXF0b59e15++WWio6MxMDBg586dmpHFjz/+mB9//JFvv/0WHx8f/vzzT1566SUcHBxo3bo106ZN48SJE2zcuBF7e3vOnDnDnTt3Sr1nt2/f5vXXXyc4OJjs7Gzee+89evbsSVxcXIUTi6FDh5KSksLOnTsxNDRk4sSJpKenl3mOhYUFS5YswdXVlfj4eEaOHImFhQVvvfVWhfp8Fujr6+Pq6qpJmOHumzUZGRlkZmaSmZnJ9evXNf/PysqqUQt8GRsbY2dnh52dHfb29jg4OODg4ICtra0kvUIIIcQTRBbfEqICVqxYwaxZszh06BDGxsa0adOGBg0alPmMca1atRg/fjz/+te/NGVNmjQhLCyM//znPyWe06ZNG4qKiti9ezdwN8GwsrKiV69e/PDDDwBcuXIFFxcX9u3bR7NmzUps55VXXiE1NZVff/2VzMxM7OzsiImJoXXr1uVe69WrV3F1dWXHjh2aRLhFixa0atWK2bNnk5ycjJeXF8nJybi6umrOi4iIoEmTJnz00UcMHDiQ5ORk9uzZU6z9vLw8bG1t2bZtG82bN9eUjxgxgpycHJYvX84LL7yAvb09ixYtKjfekly7dg0HBwfi4+OpX79+uYtvnT59Gj8/Pw4ePEhYWBgAJ0+exN/fny+//FKz+JZCoWDVqlWlrvg9Z84cVqxYweHDhx8p7pqgqKiIGzduaCXL95Ln7OxscnNzeVp+LRkYGGBubo6FhYXWv5aWltjZ2WFra4uZmZmuwxRCCCFEBciIsRDluHjxIpMmTWLr1q0YGxtX6JybN2+SkpJCeHi4Vnl4eDhHjx4t89z7n1/W19fHzs6OoKAgTZmTkxOA1mjmnDlz+P7777lw4QK5ubkAmgTP1taWoUOH0rFjRzp06EBERAR9+/bFxcWlxP4dHBx4/vnn+emnn2jZsiVJSUns27eP+fPnAxAfH09RURG+vr5a5+Xl5WFnZwdAXFwcffr0KbH9M2fOkJOTQ4cOHbTK8/PzadiwIQBjx47lxRdf5K+//uL555+nR48etGjRotR7lpiYyHvvvceBAwe4du2aZkQyOTmZ+vXrl3rePQkJCRgYGGhGPAHq1auHtbV1meetXLmSr776irNnz5KdnU1hYSGWlpbl9leT3XtN33utPEilUnHnzh1ycnK4ffs2OTk5Wh/3l+Xm5lJUVERRUREqlUrr34ok1wqFAkNDw1I/DAwMUCqVmJmZlZgAm5iYVPbtEUIIIYSOSGIsRDmOHDlCeno6jRo10pQVFRXx559/Mm/ePPLy8ir1mUpDQ0Otz+/98X7/54Am+fvpp5/48MMPWbFiBeHh4VhaWjJlyhQ2b96sOWfx4sVMnDiRTZs2sXLlSt599122bt1a6ohzVFQUEydO5N///jfLly8nKChIk5xnZ2ejr6/PkSNHil33vW1jykoYsrOzAVi/fj21atXSOmZkZARA586duXDhAhs2bGDr1q20b9+e8ePHM2fOnBLb7N69O3Xq1GHBggW4urqiUqmoX78++fn5pcbxuPbt20dUVBTvv/8+HTt2xMrKihUrVvD5559XWZ81gZ6eHmZmZpiZmeHg4PDI7ahUqmLJclFREXp6epqk18BAfgUKIYQQ4i55wEmIcrRv3574+Hji4uI0H40bNyYqKoq4uLgSk2JLS0tcXV2JjY3VKo+NjSUgIKBS49u3bx9NmjShc+fOmtHKvXv3FqvXsGFDpk6dyt69e6lfvz7Lly8vtc3IyEhyc3PZtGkTy5cvJyoqSqudoqIi0tPT8fb21vq4t01UcHAw27dvL7HtgIAAjIyMSE5OLnZ+7dq1NfUcHBwYMmQIP/74I3PnzuW7774rsb2MjAxOnTrFu+++S/v27fH399cs8lVR9erVo7CwkCNHjmjKTp06xY0bN0o9Z+/evdSpU4d33nmHxo0b4+PjU+qCZqL66enpYWBggJGRESYmJpibm2NlZYWFhQXGxsaSFAshhBBCi/xlIEQ5LCwsik3HNTMzw87Orsxpum+++SbTp0+nbt26NGjQgMWLFxMXF1fiasePw8/Pj6VLl7Jx40bq1q3LokWLiI+Px8PDA4CkpCS+++47XnjhBVxdXTl16hSJiYkMHjy41DbNzMzo0aMH06ZNIyEhgQEDBmiO+fr6EhUVxeDBg/n8889p2LAhV69eZfv27QQHB9O1a1emTp1KUFAQ48aNY8yYMSiVSnbu3EmfPn2wt7dn8uTJvPbaa6hUKp577jmysrKIjY3F0tKSIUOG8N577xEaGkpgYCB5eXmsW7eu1L2DbWxssLOz47vvvsPFxYXk5GTefvvth76HnTp1YvTo0XzzzTcYGBjw6quvljny7ePjQ3JyMitWrCAsLIz169fz66+/kpWVRVxcHA0aNCAmJoa2bdty/fr1UqdlL1myhFdffbXMJFwIIYQQQlQtSYyFqCITJ04kKyuLN954g/T0dAICAlizZk2ZK1I/itGjRxMXF8fAgQMBGDBgAOPGjWPDhg3A3b1oT548ydKlS8nIyMDFxYXx48czevToMtuNioqiS5cutGrVCnd3d61jixcvZubMmbzxxhtcvnwZe3t7DA0NSU5OBu4uSmRhYcHy5ctZsGABZmZmNGvWTJNgf/jhhzg4OPDxxx9z7tw5rK2tadSokWahsmPHjjFr1izNaF/Lli1ZsWJFiXHq6emxYsUKJk6cSP369fHz8+Orr76iTZs2D3UfFy9ezIgRI2jdujVOTk7MnDmTadOmlVr/hRde4LXXXmPChAnk5eXRtWtXJk6cyIcffqip06JFC1JTU7GysnqoWIQQQgghRPWSVamFEJVi6NChpKWlsXjxYoqKikhLS2PTpk18/PHHtGzZkjVr1lR4+uqTPoqan5+PUqksVl7e6tcledKvVQghhBCiJpBnjIUQlcbIyAhnZ2dq1aqlGQH+448/2LhxI0uWLNHU++KLLwgKCsLMzIzatWszbtw4zaJcMTExDBs2jKysLBQKBQqFghkzZgBw/fp1Bg8ejI2NDaampnTu3JnExMQyY1IoFHzzzTd07twZExMTvLy8+PXXX7XqXLx4kb59+2JtbY2trS2RkZGcP39ec3zo0KH06NGDWbNm4erqip+fHwAHDx6kYcOGGBsb07hxY/7++2+tdmNiYlAoFFpJ75IlS3B3d8fU1JSePXuSkZFRLOZvvvmGunXrolQq8fPzY9myZeXdeiGEEEII8RgkMRZCVKl27doREhLC77//rinT09Pjq6++4vjx4yxdupQdO3bw1ltvAXenH8+dOxdLS0tSU1NJTU1l8uTJwN0E9fDhw6xZs4Z9+/ahVqvp0qULBQUFZcYwbdo0XnzxRY4ePUpUVBT9+/cnISEBgIKCAjp27IiFhQW7d+8mNjYWc3NzOnXqpLWq9fbt2zl16hRbt25l3bp1ZGdn061bNwICAjhy5AgzZszQxFmaAwcOMHz4cCZMmEBcXBxt27Zl5syZWnVWrVrFpEmTeOONNzh27BijR49m2LBh7Ny5s+I3XQghhBBCPBy1EEJUgiFDhqgjIyNLPNavXz+1v79/qef+8ssvajs7O83nixcvVltZWWnVOX36tBpQx8bGasquXbumNjExUf/888+ltg2ox4wZo1XWtGlT9dixY9VqtVq9bNkytZ+fn1qlUmmO5+XlqU1MTNSbN2/WXJuTk5M6Ly9PU2f+/PlqOzs79Z07dzRl33zzjRpQ//3332q1Wq3euXOnGlBfv35drVar1QMGDFB36dJFK5Z+/fppXWuLFi3UI0eO1KrTp0+fYucJIYQQQojKIyPGQogqp1arNfsvA2zbto327dtTq1YtLCwsGDRoEBkZGeTk5JTaRkJCAgYGBjRt2lRTZmdnh5+fn2b0tzTNmzcv9vm9c44ePcqZM2ewsLDA3Nwcc3NzbG1tyc3N5ezZs5pzgoKCtJ4rTkhIIDg4GGNj41L7Keka7o+/pHMSEhIIDw/XKgsPDy/3GoUQQgghxKOTVamFEFUuISEBT09P4O4CVd26dWPs2LHMmjULW1tb9uzZw/Dhw8nPz8fU1LRaY8vOziY0NLTEbbQcHBw0/zczM6vOsIQQQgghRDWSEWMhRJXasWMH8fHxvPjiiwAcOXIElUrF559/TrNmzfD19SUlJUXrHKVSSVFRkVaZv78/hYWFHDhwQFOWkZHBqVOnCAgIKDOG/fv3F/v83r7IjRo1IjExEUdHR7y9vbU+ytpmyd/fn3/++Yfc3NxS+ynpnPvjL+kcf39/YmNjtcpiY2PLvUYhhBBCCPHoJDEWQlSavLw8rly5wuXLl/nrr7/46KOPiIyMpFu3bgwePBgAb29vCgoK+Pe//825c+dYtmwZ3377rVY7Hh4eZGdns337dq5du0ZOTg4+Pj5ERkYycuRI9uzZw9GjR3nppZeoVasWkZGRZcb1yy+/sGjRIk6fPs306dM5ePAgEyZMAO7u12xvb09kZCS7d+8mKSmJmJgYJk6cyKVLl0ptc+DAgSgUCkaOHMmJEyfYsGEDc+bMKTOOiRMnsmnTJubMmUNiYiLz5s1j06ZNWnXefPNNlixZwjfffENiYiJffPEFv//+e7kLewkhhBBCiMeg64echRDPhiFDhqgBNaA2MDBQOzg4qCMiItSLFi1SFxUVadX94osv1C4uLmoTExN1x44d1T/88IPWIlVqtVo9ZswYtZ2dnRpQT58+Xa1Wq9WZmZnqQYMGqa2srDTnnj59usy4APV//vMfdYcOHdRGRkZqDw8P9cqVK7XqpKamqgcPHqy2t7dXGxkZqb28vNQjR45UZ2Vlaa6tpIXF9u3bpw4JCVErlUp1gwYN1L/99luZi2+p1Wr1woUL1W5ubmoTExN19+7d1XPmzCm20NjXX3+t9vLyUhsaGqp9fX3VP/zwQ5nXKIQQQgghHo9CrVardZiXCyFElVIoFKxatYoePXroOhQhhBBCCPGEkqnUQgghhBBCCCFqNEmMhRBCCCGEEELUaLJdkxDimSZPiwghhBBCiPLIiLEQQgghhBBCiBpNEmMhhBBCCCGEEDWaJMZCCCGEEEIIIWo0SYyFEEIIIYQQQtRokhgLIYQQQgghhKjRJDEWQgghhBBCCFGjSWIshBBCCCGEEKJGk8RYCCGEEEIIIUSNJomxEEIIIYQQQogaTRJjIYQQQgghhBA1miTGQgghhBBCCCFqNEmMhRBCCCGEEELUaJIYCyGEEEIIIYSo0SQxFkIIIYQQQghRo0liLIQQQgghhBCiRpPEWAghhBBCCCFEjSaJsRBCCCGEEEKIGk0SYyGEEEIIIYQQNZokxkIIIYQQQgghajRJjIUQQgghhBBC1GiSGAshhBBCCCGEqNEkMRZCCCGEEEIIUaNJYiyEEEIIIYQQokaTxFgIIYQQQgghRI0mibEQQgghhBBCiBpNEmMhhBBCCCGEEDWaJMZCCCGEEEIIIWo0SYyFEEIIIYQQQtRokhgLIYQQQgghhKjRJDEWQgghhBBCCFGjSWIshBBCCCGEEKJGk8RYCCGEEEIIIUSNJomxEEIIIYQQQogaTRJjIYQQQgghhBA1miTGQgghhBBCCCFqNEmMhRBCCCGEEELUaJIYCyGEEEIIIYSo0SQxFkIIIYQQQghRo0liLIQQQgghhBCiRpPEWAghhBBCCCFEjSaJsRBCCCGEEEKIGk0SYyGEEEIIIYQQNZokxkIIIYQQQgghajRJjIUQQgghhBBC1GiSGAshhBBCCCGEqNEkMRZCCCGEEEIIUaNJYiyEEEIIIYQQokb7P/L0A70kMFwcAAAAAElFTkSuQmCC\n",
       "text/plain": [
-       "<Figure size 720x504 with 1 Axes>"
+       "<Figure size 1000x700 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -1050,10 +1444,7 @@
     }
    ],
    "source": [
-    "cant_snacks = resultados_df.groupby(\"texto_q64\")[\"record\"].count()\n",
-    "labels_snacks = list(cant_snacks.index)\n",
-    "fig = plt.figure(figsize =(10, 7))\n",
-    "plt.pie(cant_snacks, labels = labels_snacks, autopct='%1.2f%%')\n",
+    "resultados_snacks_df.plot(kind='pie', ylabel=\"\", figsize=(10,7), title=\"Comieron snacks\", autopct='%1.2f%%')\n",
     "plt.show()"
    ]
   },
@@ -1062,22 +1453,20 @@
    "id": "f4845060",
    "metadata": {},
    "source": [
-    "Le podemos poner un título y mejorar la ubicación de los datos, \n",
-    "\n",
-    "Detallar despues qué significa cada instrucción agregada\n"
+    "Lo único que quedaría, es pasar las etiquetas de alrededor del gráfico a un cuadro aparte, de forma que se vea mucho más prolijo. Esto lo logramos agregando el parámetro *label* con valor None, y usando la función plt.legend(), enviandole una lista de las etiquetas e indicando mediante el parámetro *loc*=\"center\", que queremos que se vea en el centro, y el parámetro *bbox_to_anchor* con los valores apropiados para que se visualice por debajo del gráfico. Esta lista, para no tener que escribirla a mano, la podemos extraer de nuestro índice de la tabla como se puede ver a continuación:\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 19,
    "id": "f76f599f",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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3jKNxOyJSwpQklgshvmi8IxElAiAAhQCmCiFuABBORJHtjdveOFHYSFhGlhuALwFweQHGpDcYpjELz9YaElFPIvI3/98DwESYxhR+A3C9udmtMC3V2tg3AG4kIhURDQQQCeBP8xjEewDyhRCvtXDqZwH8F6YxEbl5mxGmsQuHwonCdt4DMF7qIBhjF40C8JFWq6VW2vUF8BsR7QWwDcBPQog1AB4D8BARFcN0N/h7AEBEVxLRMwAghMgF8CmAPABrAcwVQhjM554BII2Idpu/LreckIiuBrBdCHHU3IvZTUTZANyFEHts9PxthhcusgHzynRPSB0Hsw1euMjlaLVa7dNSB+HMuEfRSWEZWXeCkwRjjuwprVbLC4N1AieKTjCX5lgodRyMMasIwFKtVjtY6kCcFSeKDjKvKfEp+F4JxpyBF0ylPnpKHYgz4kTRAWEZWV4wJQlvqWNhjLXZAACrtVqtUupAnA0nio55G0CU1EEwxtrtEjhwTSVHxYmincIysmbANKeaMeac7tRqtbdJHYQz4UTRDmEZWWrw4DVjruAtrVYbI3UQzoITRRuFZWSpAHwCHpdgzBV4AVil1Wp5nZg24ETRdq/AVAGSMeYa4gG8IXUQzoATRRuEZWRdBeBeqeNgjNncLK1We7XUQTg6ThStMJcNf1/qOBhjdvOuVqvtK3UQjowThRVhGVlyACsABEodC2PMbnoA+LANxQO7LU4U1mkBjJY6CMaY3f0DwBypg3BUnChaEJaRlQTgP1LHwRjrMi9qtdr+rTfrfjhRNCMsI0sGYBH+WkyEMeb6fMD3STWLE0XzZgEYKnUQjLEud4VWq50mdRCOhhNFI2EZWb0BvCB1HIwxySzQarU8gaUBThRNvQrAX+ogGGOS6QXT+wAz40TRQFhG1ngAt0gdB2NMcrdrtdoJUgfhKDhRmIVlZLmBB7IYY39ZrNVqPaQOwhFwovjLIwCipQ6CMeYwwgE8JHUQjoATBYCwjKyBAOZJHQdjzOFkaLXa3lIHITVOFCZvAuAuJmOsMW8Az0gdhNS6faIIy8i6BkC61HEwxhzWv7RabazUQUipWycKc9G/l6SOgzHm0OTo5tNlu3WigGkqbKTUQTDGHN4krVb7D6mDkEq3TRRhGVkK8AA2Y6zt5mu12m5Z/63bJgqYehMRUgfBGHMacQBulzoIKXTLRMG9CcZYBz2u1WoVUgfR1bplogAwA6abaRhjrD0GApgudRBdrdslCu5NMMY66T9arbZbvXd2qydrNhPAIKmDYIw5rSgAU6UOoit1q0QRlpGlBPcmGGOd94RWqyWpg+gq3SpRALgVpmuMjDHWGfEArpQ6iK7SbRKFuTfxhNRxMMZcRrd5P+k2iQKmmQphUgfBGHMZQ7vL3drdKVHMkToAxpjLuU/qALpCt0gUYRlZiQCGSh0HY8zlTNZqtWFSB2Fv3SJRALhL6gAYYy5JBuBuqYOwN5dPFGEZWV4AbpY6DsaYy/qnVqtVSR2EPbl8ogBwEwBfqYNgjLmsngCulzoIe+oOiYIvOzHG7M2lJ8u4dKLgQWzGWBcZqdVqE6QOwl5cOlGAexOMsa7jsr0Kl00U5kHsblcOmDEmmRu1Wq271EHYg8smCpgGsX2kDoIx1m34Arhc6iDswZUTBV92Yox1tRulDsAeXDJRhGVkxYMHsRljXe8KrVbrLXUQtuaSiQLANVIHwBjrljwAXCV1ELbmqomi29SJZ4w5nJukDsDWXC5RhGVkBQNIkjoOxli39Q+tVhsodRC25HKJAsAUAN1miULGmMNRArhO6iBsyRUTBV92YoxJ7QapA7All0oU5pvs0qSOgzHW7V2i1Wq9pA7CVlwqUQC4DIBLl/tljDkFN7jQh1ZXSxR82Ykx5igmSR2ArbhMogjLyJIBSJc6DsYYM+t+iYKI5ES0i4jWmL9/j4j2ENFeIlpNRE3uRiSiYUS02/y1h4iuMW/vT0S/EVEeEeUS0f0N9nnJfMylDbbdQkQPtBJiKoAebX0+jDFmZ4O0Wm2k1EHYQnt6FPcDyG/w/YNCiAQhxGAAhwHc08w+OQBShBBDYMqui4lIAUAP4GEhhAbACABziUhDRH4AkszHrCOieCLyAHA7gLdbiY8vOzHGHI1L9CralCiIKASmyzpLLNuEEBXmxwim29ZF4/2EEBeEEHrzt+6WNkKIY0KIneb/V8KUgIIBGAEozcf0BFAP4BEAbwoh6lsJc0pbngtjjHWh7pMoALwB4FGY3sgvIqIPABwHEA3gzeZ2JKLhRJQLIBvA3Q0Sh+XxMACJALaak8Z3AHYBOAagHMBwIcRX1oILy8jqCyCmjc+FMca6yjitVuv0MzFbTRREdAWAk0KIHY0fE0LcDqAfTD2Cac3tL4TYKoSIhama63+I6OLCHuZxjc8BPGDpoQghXhZCDBFCPAzgWQBPEtEdRPQpEc1rIcxRrT0PxhiTgCeA4VIH0Vlt6VGMAnAlEZUA+ARAGhF9bHlQCGEwb7d6y7oQIh9AFYA4ACAiJUxJYrkQ4ovG7YkoEaZSHIUApgohbgAQTkTNDQ6NbMPzYIwxKYyQOoDOajVRCCH+I4QIEUKEwbQox68AZhBRBHBxjOJKAAWN9yWigebBaxDRAJguUZWY93kPQL4Q4rUWTv0sgP/CVDdFbt5mhClDN8aJgjHmqFw/UbSAAHxERNkwjT30BfAMABDRlUT0jLndaAB7iGg3gC8BzBFCnIaplzIDpt6JZfrsxSUEiehqANuFEEeFEOcB7Dafy10IsadhIGEZWe7garGMMcfl9ImChGgyWcmphGVkjQGwQeo4mOu4VFm4PkReMVbqOJhLGaDVag9LHURHucKd2U6frRljLs+p36dcIVEkSx0AY4y1IlXqADqDEwVjjNkf9yikEpaR5QsgXOo4GGOsFYlardZN6iA6yqkTBUyznXjZU8aYo1MBiJI6iI5y9kTBl50YY84iVuoAOsrZE0Wi1AEwxlgbcaKQSITUATDGWBtxopBImNQBMMZYG2mkDqCjnDZRhGVkeQDoLXUcjDHWRoO0Wq289WaOx2kTBYABUgfAGGPtoAQwUOogOsKZE0WY1AEwxlg7qaUOoCM4UTDGWNdpbj0dh8eJgjHGuk6I1AF0BCcKxhjrOn2lDqAjOFEwxljX6SN1AB3BiYIxxroO9yi6Ct9DwRhzUpwouhDfQ8EYc0YBWq3WXeog2stZE0V/qQNgjLEOcrpxCmdNFL5SB8AYYx3kdJefnDVReEodAGOMdRD3KLoIJwrGmLNyuisinCgYY6xrOd37FycKxhjrWh5SB9BenCgYY6xrOd37FycKxhjrWk73/uWsicJL6gAYY6yDOFF0Eaf7QTPGmJnTvX9xomCMsa7Fg9ldhBMFY8xZcaLoIpwomB2RkDoC5tIMUgfQXs6aKNykDoC5rqHVu0/6nPVZo6wzrIPAeanjYS6nXuoA2kshdQAdVCN1AMw1jZHtzQnr/ePA4uKrhVuNoY+8dv12+KmMF/z8lVUKfTwIPaSOkTk9p0sUztqjqJY6AOaanlO8XxVXrws+Jf/wrEwWECK8rrlUX6PpS8U7e4UeOHI6/JwiK8jg+SsJnJA6Vua0OFF0kSqpA2CuZyAdPRxKJ4cF6w391sUWR3lcOL4ZAOTKsHiV/1xNpVx99uTxrQn1RRsviT1Seyixssd3fQx+60hQmdSxM6dSJ3UA7eWsl544UTCbe1H5XgkRQgFA54Uq79NLamo85+lApCIiUrinjJSrhtTWX/j590NVOUmoyvFxk7mfH+k3fK/Mt3f+QVW54qjs7EAjCV6BkVnjdD0KThSMAfBBdflwyk+yfB+qrz+/JuVkr0lFRVvOBUSNtWwnUri7eU0aKzzGnKqr+np3neH4yL3n1l+Cc4CvssfBfwSMOQivgGP5ymO1pbLToUYSg6R5RsyBOV2icNZLTzxGwWzqCcXyXUTwtnw/WFdn3BUhSxhY/IEPhKho3J5kXj1VvjePcfOZfhDktQMAKupPD/z95Jfjfj/4/nCPI8X+11bEHb2yNiVnkKH3ermQFXXl82EOzekSBfcoWLcnh0F/vXxDVMNtybU67098fbA+rqo64uT2XSd6Dx3b3L4yRe8Id/9ZMNQVbK+v/tEP0EcCoLIL+4aUXdgHOSmr1b7J5SP9hlVdkBsPZCtLDx+UneytJ0NMlzw55oh0UgfQXpwoWLf3L/n3fyrIOLLhtiG1umAA+Hy0LPG911dUneiVfBIk69XSMeRu0Skypdqgr9280VC7LRoQPQHAIOq98su3jMov3wJPhd/ROP/RGO092r1KVnckW354/wH5iaA66GNBIPs+S+ZAzkodQHtxomDd3v2KLwIab+tjMPSBEOW1buRX3K9uZ2jpz3Q49B8tJgoAIJLJlR6jxyjch1bWV3+/3lh/YDgAd8vjF/Tl/f48ndXvz9NZ6OUemhsfMIZGqaKCq0l3PFtxeF+x/LivDvWDQU57SZi1zWmpA2gvZ00UPEbBbCJNtnOPF9UmNPeYj1EcqpTT4A8myoMzP/w2tDQk7aCQKQa2dkwilY+b99VjjYbysvqqLw8J49lU4O89hpO1h2N/ObYcMsjqBvoMLhzsP8J9hDwytobqzuQoSvP3yY9516BuMMhp/0ZZy05JHUB7OeuLkHsUzCaeUX7Y4vXiAfr68hy5CiV9KLzK3bA7Yv8Xtfsib2g1UVjI5H7BKr/bgg31pbn11d8YIHSDG7cxwui2v3L3iP2Vu6GSeZ7W+KfmJfoM7jVMFhFTg7qzeYojeYXyo6oL0CWAuHSNi+AeRRfhRME6LZKOlATjdEpLjw+urTPmqFQAgNWjZbX//Gn9iAMDp+QaFB6x7TmPXNk/Vu4/F/ra3Vv0Nev6AcbQ5trpjBd67Dr7y9hdZ39BgFvvffEBl5QleYTFJOsH9dahvrxAXrYtX16mqKLaBNBfl7SY03G6ROGs10LPSx0Ac34vKpccJivjASm1tT6W//+YRClGwglN/tIOT21UuA8ZofK/t4/cLX49gHJrbc/VnYjccOKzcZ+VvNrjj5Pf7NDVVeQO1g9IurFu1PBbdWP1I+oj//A1evwBwZdhnRBfeuoiJVIHwJybPyrPJVNRi70JAEjQ1fW3/N8oI8XWKMpPLdg7zk13fnudyt/qvi0hkrspvSaOVXiMOltX/e0GoS8bCSt/hwJCfrg6P/lwdT6U5FYR5Tdse4Rvkl+s6D8izhBKehhq9smPbc2VH9Gfp+p4EHw7EhfrMpVardbpSniQEM5Zej8sI+s0gCCp42DO6TXlwvXXyjc1e29EQ4PD+p8VRIEAEFQhji9829Cjwids/46kR9Qg6vSUVqPh1MG6qq9OwVg5rD37+SgCDscFjDkQ4qUeJCN5KAAYYKzbLzuxJ1dxWHeGqmJBaDKbi0nugFarDZc6iPZy1h4FABwAJwrWAUro666S/R7dlra+RmNpuVweCABnfKnPCX/80ed8SarXheObq736jmxt/9bI5D0HuvvdOdBQt29XffX3noA+qvW9gEr9udA/Tn0TilMQfT0G7Y0LGF0e4NYnQW3sO1Rd1xdGGPUlslM7shWHL5yiimgQenY2VmYTJ6UOoCOcOVEcBDBU6iCY87lLvmabnMSotrQNq9eX75HLL36/bILM49+fGxGfsyh0yzBtHYhsMhNJ7haZKFNGGA21Wzbpa7dEAKJPG3elYzUHBh+rOQA5KWrCfYZsjvYb5uYu904cZOydPKiuN4wQhlLZ6T17FYfOn6TyKEFo67GZ7R2QOoCOcOZE4ZQ/cCa9uYqv2rz4UIJOhz3uqovfb1PLhtTJjfs9a06H+5/ft+F8gPoSW8VFRDKFR+pouXtydX31D+uM9fuGoR3L/hqE3qOoYvvIoort8JB7n4j1H1UwwDu2n0KmjBxg7JkwoK4nBIQok53N3is/dPaY7HyEIBFsq/hZm+yXOoCOcNZZT4CpR8FYu0yS/bnLk+radHkHAJJrdU0Gh39KoiMAEJf3XmxzBQM7i8jNy817yjiV3x3lJO/xO4B2DyTWGKp6bz/zw9jPD70W+fPRjwtO1hxaL4Q4TSAKMQbFX16fNPZfurTgdF1SXn9D0DqZoEO2fh6sWcVSB9AR3KNg3cpTyo/07WmfUKsLabzt09GyxMu3Garc6quCep/cvr6lgoGdRTLfvirfmX2N+qMFdVVf10DUJHbkOGd0ZdG/Hf8kmiCrD/OO+1PjP8LopfBPIiK3viJA07c+QAMAJ6m8aK/i0NFS2Zn+BjI63YCrk+BE0cW4R8HaJZoOH+iDc+2a1hpkNPYgIU4LoouXq2rcybe4HzZGHsWY6MIVKa0VDOwsmaJftLv/bOh12X/qL/zSEzC2+e7whgSMyoNVe4cdrNoLN5n7uRi/EVsG+Q4JcpOpYgGgl/BTX1o/WA0AZ6hy/x7FoSOHZaf66MnY5h4Ya5VTXnpy5umxCgC1AOSttWUMAL5y++/GIbL9Y9q735jQ4N3n5fIhDbeFHxP7XvzQEAkAxYOu3ng4dGK7j9sRQhjq9TUb/jDodsUDtpn+6qfscTA+4JJDfT3D1TKS9Wv8+DmqPrRXfuhgifxkr3oyaGxxzm6qUqvVOuV9Lk6bKAAgLCPrIIAwqeNgji8Q5Wd2qGZ7EsGjvfvO7Ntrwy539yaD1u+/rt/rXYvBRpLp1495/YiQKcJsEmwbCGPN+frqrD1G/eFUwGY1oIzBnuo9cQGjqv2UPROJyKtxgwq6cCRbfnj/fvmJwDro47g8ervs1mq1Hbp8KDVnHswG+PITayOtcmlOR5IEACTUNn8j7RcjZVUAIBNGRcT+L491Irx2I5mHv5vP9WPdfG87RjK/LTY6rKzsQlHiD2UfjP780OvYe3bDplrDhV2iwadJX+EZMkofPXambmz8jbpRJ+L0/TeohHI3BAw2isGVOeVlJ8D5EwUPaLNWuaFely7b0uFLJim1tf7NbV+bQilGMtXtCSlbN0Kur83r6Dk6SiYPHKDy+9cIpffVewClzc5vWnDpj9FfH34zMevI4qMlVTnrDEL/tw9m3nDvM0KvvmSG7pIhN+tGn03QD9joIdx2QqBdEwa6kUKpA+goZ08UXf6HyZzPHMXX2+QkOnxncsOaTw3p5eS2PYLyAIAA0hR8JNkSl3LloASV/z0xCo/RmwE6astjV+vLg7eeyhq3umT+wN+Orcw9XVu2QQhxvmEbT6h6DtVHjJmuG5N0i25MZVL9wE1eQrUNAk5X18iOdkodQEc586wnANgqdQDM8d0t/7Z3Z/b3NxoDZEKcNBI1mdn00aWyyKH7DAYC5D1P701005XvqFP5JXfmfB1FRKRwHzZSrkqsqb/w83pjXX4yAG9bnsO04NLHkEFWN8gnYUu0/wiZp9wniYguvpe4wy0gyTBodJJhEOqgr8iXl23Plx+Rmcujd+jyn4vYIXUAHeXsg9nuACoAKKWOhTmmKbLNO950e6vTb9xjQ4N3npXLk5p77K2F+q29yjEcAMp9BxbuSHzYJgUDO0sYq07VVX1dIAwnRsKOswNVMs/TsQEjcwd6x/dWyNxarKFVD311kfzY3lx5KSqoJh5k2yTm4M5otdo2VwRwNE596akkM70WwB6p42CO67/KZTY5zqC6+sqWHls+Xnbxg4pfxcEozwvH/7DJSTuJZN49Vb7Tx7j53HwA5Gm3T7M644UeO8/8PPbzQ69H/1j24b5jFw6uF8J4onE7JRResYb+qTfUjUy9TTdOMbo++s8Ao9fvENbX5nARTtubAJz/0hMAbAHQobUBmGuLpYPFvajcJpeBhuh0su0ezS8q90c0Jd4jx0GlAQMBYHDO4v5bhj1ls4KBnSVT9Il0978bBl3+9voLPwYABrvddW1acOnTSAIZ+nvFbI/1H1nnowxMJKK/XXJSQO4ebQgeFm0IhgHGugOyE9tyFKW1Z6gyFoRAe8UnIU4UEtsC4B6pg2CO5yXlu8cARNjiWMm1Or8lLT1IRL8k0OFJO8VAAPCsOdXfv3zfhvP+tisYaAtyVUyKzC3KoK/ZtNGg2x4DwG6XQkwLLuWlHK7Og1KmKo/yHbY9wjfRTyX3aLJuuBwyt0hj36GRf5VH35mtOFztYuXRnTpROPUYBQCEZWSFw0nrpzD76YVzp7aq5voSQdV669aVy6h89ID+fi097lUjyt9/w6Akc7XXOqXP6U0jX1SByKelfaQkhK6ivuq7nUb9wVTANj+jtvBRBByOD7zkQLBnZLiM5M3OJrMQEMbDstPZ2YrD50/QebUg9O2qOO1goFarLZE6iI5y+kQBAGEZWScBl/nkwWzgHeXr6yfLt9m0WF9CWP/jRqIW13J48QP9pvDjGG35Pifm9vUne6fYpWCgrRgN547UV311WBjPdXoRpnYyL7g0pjLArfdgIrJa2sJcHj3HXB49XJBoUqzRgZ3VarVOvciaK1x6AkzTZK+QOgjmGFSoq71Mtj3O1scNMBjLzijkLSaKDybKezy37K8blGMKl6ec7JV0CiRz2A8xMnlAiMrv9hBD/aGc+upvBURdfBedmo7VHEiwLLgU4ZO4OcpvmMpd7jWEiJrM0LKURw8xmt5vj9P5/D2KkpNlsrMDjCTCuijmjnKIyQ2d4SqJYgs4UTCz+xRfbJORsHmRvvD6+qozipZnmRaFUHS1CjleOsQBgNxY59W/9NcdpaGXOmyisJArB8TJ/e+BvnbnH/qaDSGA0eplIVsyCL1HYcW2kYUV2+Ah9zkeFzCqYICXJkQuU7Y4vtRH+Mf0qR8SAwAnqXzfXsWhMgcuj/6r1AF0lislCsYACHGH/Du7rNo2pFYn/7OFmU8WX4+Qld+83njx+/CDX488EjKupCsLBnaGwj0pVa4arNNf+HW9oS5nCIAWx2XsocZQ2Wfb6bV9tp1eix6q4Pz4gEtO9XTvr6EGZd4b6yX8Ii+tHxwJAGeo8sBexaHSQ45VHv0XqQPoLKe+j6KBPwEYW23FXN61so3bVaQfZI9jD22h5lNDa4ZRihE4bfleioKBnUWkUCm9/jFW5TernuT9NgDS1G46rSuL+e34yks+K3nV789T3/9ZVX9uixDCakmQIOEzaHx93NjbdOOjrteNOKTW912nFPLcroq5GacA7JXw/DbhEoPZABCWkbUXQFddX2UOarvq7l09qMIupZwriSpGhvVvdT2BjE8N65P2i4uD2AIQG0bPzzco3J1yLQej/uT+uqqvzkJUDZU6FjeZ+7kY/9TscJ+EIKV5waW2qKCasmz54eL98uNdXR79U61WO62LzmU3rnLpCQC+ByeKbm0IFRfaK0kAgI8QvnIhjhqImizu09AHl8rCE/cbjGTusRNAMQVLdTlxd9krNLuSKXqFu/vfFW6oK9pZX73WG9CrpYqlzlgbsOfsb5fsOfsb/JQ9D8QHXnK4r8egKBnJrE6d9RUewaP0UcGj9FGoRu2JbMXhwmL5cZ9a1A8G2XXxM6e/7AS4VqL4GsCjUgfBpJOpfPc0ALtelw40GI6eUiisJooTgRRyxgd/9qjEMMu2Xqf3SFow0BbkbuokmTLSqK/9Y6OhdmsUIOy2/GtblNefGrTpxOeDABhDPNU7YwNG1/gpewxpbsGlhrzg3nuEXt17hF6NGtSdzlWU5hfKj3rWoC4BZPP3RJdIFK506UkG4BgASV+8TBp9ceb4ZtW9QUT2LRB5V5+e6//w8Gj13ojROcbt931r/FtpGUcqGNhZQtRV1Vev3WGsLx4GOE5FWAUpq9S+KXsi/VI8VTKPIdSOn3Ut6s/ny4/kFijKlNXQJaDzN2se0mq1YZ08hkNwlcFslGSmGwF8K3UcTBrPKj8otHeSAIDEWl2bLlNsiqVkvQyHG24zFQw84fRz6gGAyM3bzfvKsSrfO86TrMfvABziE6de1Hvnlf8x6q8Fl3LXN15wqSXuUPonGgaOukk3ethM3VjdsPqIzT5G9y0QqOlgOC7RmwBcKFGYfSV1AKzreUB3IU22s0kNIXtIrtUFtKkhEa2LpyZvUINzFvVHKzN3nAnJffuq/GaOcvO+oQDk7lCVnE0LLq0Zu7pk/sB1xz7JOV1btrHxgkstcYPCd7BhwMhpdaNG3Koba0ytV//hZ/T8AwJV7QhhTccidzyuNEYBAD8DqAZg9Rolcy0PKT7bLiN0SQG+WF3dAAgh2nL5aMU42eAJewy1BFy8+cJUMLB4w3n/SIcqGNhZMmVIjLv/HOh1e7boL/zWFzAOkDqmhk7UHoo7cewQZJDrBvkk/BHjP1zhIfdJbLjgUkss5dFjDf2hh6G2WH78z1x5af05qo4DtXifSQ2AH2z7LKTjMmMUFmEZWV8AuEbqOFjXIBiNharbDruRPqyrzjkkrP8RA1Gbag29/J7+97CTGNVwm6MXDOwsIQz1+pp1mw26PQkA/KWOpyXucq9TGv+R+QO943pZW3CpJUYY6w/ITu7JVhyuaaY8+ldardZl3odc7dITYJr9xLqJG+TrtndlkgCAIIOhzTfQfXipvMmlKrf6yh69Tu102vWTW0MkVyo9J4xV+c0WMkXIBgD1UsfUnFpDdc+dZ366xLTg0kf7jpsWXDrZ1v1lkCkjjH1SrqkbNuafuvG+E+rid/Yy+m6EwCm42GVwV7v0BJiuCxpgx6UfmePIUHzSZSWyLdR19dUnFW3708kbQJoaN+R51OFvN9tFFy5PPtkz0aELBnYWyTwC3HxuuMRoOFNSX/XlCWGsGC51TC05V3c8cr15waVQr5jtGtOCS0lEZL1mi5kMMsVAY6+kgXW9ICB0pbIzLvWB1eV6FCWZ6WcA/C51HMz+hlF+XgBVJXT1eRNrde36gPXNcNnZxtsUBp13/yO/5dsuKsclkweFqfzuGK70umo3oHTo5ywg5Ieq81K+L1sy8svD/6fLO795Y52hpl0lOAi0buQL15y3U4iScLlEYeZS2Zw17wXle+elOG9yra5dawt8M4JSBHCu8fbwA1+lklF/yHaROTa5W/gQlf890Qr3UZsAcvj6V/VGnV/2uY1jvjy8YPB3R949VFpdsN4oDKVt2PUTuwfXxThRMKcUjFPHwunosNZb2p6mzjzzqY3qFeS+dyA1+VQqE0Zl+IGvymwbnWMjIlJ4DB+t8r/HT6aMWg/TLEWHV1l/dsDmk1+P/azk1ZANx1fvOas7vkkIUdFMUx2AL7s6PntzuVlPFmEZWVsBSPJGwuzvQ2Xm+nHyvZKtHpcY1v+wnii0re37nRGHXv+fIZTw92J05oKBBQaFe4zto3R8wlh5oq7q633CcHIknOyDq5wUNRG+SbuifIe6ucu9kohIBuCLkMwx10kdm6051S+mnRZLHQCzDy/UVI2V7R0iZQw9DIbj7Wl/NIgGnPPGjsbbTQUDl3X0zl+nRzKf3irfW0a7+dy0D+ThVDPBDELvUVj+58hvSt9O+bb0nZMHKvesq6w/957UcdmDKyeKTwCclzoIZnv/VqzaSS3f6NQl1HX1F9q7zyeXyJrtvvc6vTvJra7Cqd4kbU2m6Bvl7j87SeF52TZAfkDqeNrLvOBSzHdH/vdja22JaBIRFRJRMRFltNDmBiLKI6JcIlph3jaEiP4wb9tLRNMatF9u3vZCg23ziOhqGzw9100UJZnpFwAskzoOZlsEo3G6/JeBUseRVKtrd12p9YMpWS/DkeYei8v5n2d7xj1clUIVO1Tlf2+oXJW8AcAZqeNpp2UPr1pjdZEn83rgbwOYDEAD4CYi0jRqEwngPwBGCSFiATxgfugCgJnmbZMAvEFE/kQ0GECNEGIwgKFE5EdEfQEMF0J8ZYsn5rKJwowvP7mYW+S//KkkQ5et59yS5Nrads18AgBBJNsUS/ube8y/4mC0qxQM7CwimULpOfYSld8chUwxYD1MA8TO4P02tBkGoFgIccC8Wt8nAK5q1OZOAG8LIc4BgBDipPnfIiHEPvP/jwI4CaAnTDc0epjHSJQw3Uf2DICnOv+UTFw6UZRkpucC2CR1HMx2HlGscog6XtF19QMgRLuX310+XhYrWnjjG5yzOARCOORdzFIgmbufm891Y918bz9JMn9HT6J/PLxqTVvuEQkG0HCK7RHztobUANRE9DsRbSGiSY0PQkTDALgB2C+EyIdpydWdMFXQjgAgE0LY7HKmSycKs0VSB8BsY5QsJ8ePLjjEKobuQngo//4H3yblXtTjSA9sb+4xz5qToX7l+x39DbHLyeQB/VV+/0xVel+bDbhJuf61NW3pTbSVAkAkgHEAbgLwLhH5Wx40X1ZaBuB2Yf6wIoR4QAgxRAgxH8CzAP5LRE8Q0adEdGdnA+oOiWI1nO9aJ2vGc4r3K6WOoaGe+vbNfLL48FJZiwPx8blLNBDCoZ6no5Arw+JV/nM1Co9LNgPU7FiPRCoArGpj2zIADS+dhpi3NXQEwDdCiHohxEEARTAlDhCRL4AsAE8IIbY0PjgRXQVgBwBvAOFCiBsAXE9Enu14Pk24fKIoyUzXAfhQ6jhY54TSiSNhdNyh7ouJqqvr0LTW7IGyuFolCpp7zFwwsMk0WmZCRKRwTxmp8r+3h8xNsw6mN2mpLXl41Zq2JvdtACKJaCARuQG4EcA3jdp8BVNvAkTUA6ZLUQfM7b8EsFQIsbrxgYlICdPA98swrTpomRwhh+kyVYe5fKIwWwwHWYGLdcyLiiX7iRyr0GNSra7Df3xZQ+lUS49FFy5PgTC2+DgDiBTubl6Txqn8ZulI3mcjTAO4UjAA+L+2NhZC6AHcA9NaFfkAPhVC5BLRM0R0pbnZDwDOEFEegN8A/FsIcQbADQAuAXAbEe02fw1pcPi5AD4SQlwAsBeAJxFlA9jR1gWbWuKyd2Y3FpaR9TOACVLHwdrPGxcqslV3EBEcav2GbDe3opuD+6g7sq9bvbiw7FVDPaH5+0H2hV+3obR/mkstbmRPRv2J4rqqr85DVKe03tqmPn141ZpprTdzbt2lRwHwoLbT+o9ixS5HSxIAEGWq+dShT7J1SvLMDaUWlw4NP/BltyoY2FkyRe8Id/9ZKUqvy7cDin1deOr5XXguyXSnRPEVgBKJY2DtJIPRME2+LkLqOJrjBqiUwOGO7v/+P2T9RQuXRE0FA7/uVgUDbUHuFp2i8r9nkNx92Eag5ct7NvL7w6vW/GnncziEbpMoSjLT9QAypY6Dtc9t8h+2KsjYeJ65w+itN5zo6L5HetLAck/saunx/kd+TZUbdA69foMjIpLJlR6jx6j857jLlIPWA6i106m6zftJt0kUZh+gA3PfmXQeUnzmL3UM1kTV1XXqTejTS2Qt3mBHAEUXfNxtCwZ2FpHKx8376rFuvv86Q7LA32HbCS17Hl61Zo0Nj+fQulWiKMlMrwPwktRxsLYZK9ud7U21mtZbSie5EzOfAODXBEoxEI629HjvUzuTlN28YGBnyeR+wSq/20a5eU/NB6natVqdFd2mNwF0s0RhtgRo+Q+TOY5nFR+0u0JrV0uq1XVqzWujjOSbY8jq4Gt8zrseXDCw82TK/hp3/7mDFR5pWwBZh8eWAOwD8Kmt4nIG3S5RmG/Ae0XqOJh1g+joof50aqjUcbRGXVcX1tn6TMsmyDTCVNitWf4VB2I8a7hgoK0o3IeMUPnf20fuFr8eQHkHDvHSw6vWtLvOlzPrdonCbBGa3jbPHEim8t1DRI7/+lQCSjfR8ZlPAHDem3oeDcQ2a23is/8XzAUDbYdI7qb0mjhW5Xe3gRTB6wFYLQ/ewAEAS60fm/oT0W8N1pO4v5k244iovMGNc082eKzZ9SrsveaENQ7/h2gPJZnptTCV4WUOyBdV5UOpMFnqONqqj0F/srPHWDpB5m3tca+aEwO4YKDtkcwzUOUzbayb74xSyHzaMtX1iYdXrWktYesBPCyE0AAYAWBu4zUnzDaaC/kNEUI8A7S8XkVXrDlhTbdMFGbvAyiWOgjW1DzF8t1EcIhy4m0Ro6vr9HoJuyJkg3UKWB2riMtdEgMhqjp7LtaUTN5zoLvfncOUXlN2AYrCFpptRxuK/wkhjllKfAtTgcd8NC0l3pKW1quw+5oT1nTbRGG+r+LJVhuyLqWAvv46+cYOlcWQSlKtTmWL46xNoWPWHlfVV/bseWpXsyXKmW3I3SITVf73RircUzcB1Lg68KMPr1rTrkkFRBQGIBHA1mYeTiWiPUT0PRHFmrc1u15FV6w5YU23TRRmnwBosYwC63p3yL/bJidjX6njaI8kna6XLY7z+ShZkmilGmpM4cfJXDDQvohIpvBIHa3yn+sjU6rXw7QE6fcPr1rzWzuP4w3gcwAPCCEa/153AhgghEgA8CZMlSOssveaE9Z060RRkpkuADwudRzsL/cqvgyQOob2ijCtdlfX2ePUupF3QQh2W2ujMOh8QsrW8d3aXYDIzcvN+4qxKr87z5O8z7/bty8pYUoSy4UQXzR+XAhRIcyXEYUQ3wFQmkuKt7pehb3WnLCmWycKACjJTP8Opq4ck9ilsu17vEgXI3Uc7aUAFCohbFLA74OJ8lavZUfs/zKVjPpOzbRibUcyn28eWrGkzSvrEREBeA9AvhDitRba9DG3syxrKoNpgTWr61XYc80Ja7p9ojC7B0C11EF0d08rP+r0oLBU+hgMNrkcVNKHwis8rPcqTAUDv3GkFd5c2XkA/23nPqMAzACQ1mD66+VEdDcR3W1ucz2AHCLaA2ABgBuFSbPrVTQ4tt3WnLCm26xH0ZqwjKxHwDfiSUZNpQd/cHssjAgkdSwd8WjPoHXfe3uNs8WxJm03bvnnT8YR1toIQKwf81qhUa6KtsU5WYsenLso7Q2pg5Aa9yj+8gZ4YFsymcp3jzhrkgCA5Fqdu62O9WMSpRgIVtfjJoBiCj52+BInTi4fwFtSB+EIOFGYmafLzgLQrW7NdwQBqDibSMVOc4Ndc5Jqdb1tdSyjjBR/RlFLc/kv4oKBdiUAzJ27KK2td2y7NE4UDZRkpm+FaX1t1oWeVC7LJoLdZmx0hUH19aEQwmZjLEsnyKJEG8pKxOcu4YKB9vG/uYvS2jUd1pVxomjqP4D1bj+zHSX0dVfKNjv9dXY5IHcXosRWxzvjS32OB6DVm+v8y/fHeNSc5NIetnUYQLumw7o6ThSNlGSmlwN4UOo4uou75d9sk5Ow2WUbKfXTG07b8ngfp8naNO4xOGcxFwy0rTvnLkqrlDoIR8KJohklmemfAPhR6ji6gzmKbzq1noMj0dTV2fTNeptaNqROjv2ttfO6cGKAX8UB7lXYxgdzF6Xx334jnChaNgf2W2uXAZgs27rLg+qcqq6TNck1tR62PuaPSdSmcvhcMNAmjgJ4SOogHBEnihaUZKbvh6meCrOTp5RLDVLHYEtJOl0fWx/zs9GyIQJoNQGo6ip69jy9mwsGds7dcxelnZc6CEfEicK6lwBskDoIV6Shkv29cc6pp8Q2Flav7w8hamx5zBp38t3XD22aAhtTsCwZwmjTcZJuZPncRWlcyqcFnCisKMlMNwC4CabyvsyGMpXvHnXmG+yaIwNkHjaq+dTQB/+Qt6marqlg4Po8W5+/GzgB4D6pg3BknChaUZKZfhSmui08V91GglB+Op4OOvx62B3RT68/Y+tj7u9LkVXu2NuWthH7vxzBBQPbRQC4fe6itLNSB+LIOFG0QUlm+g8wXYZiNvC08sMcItis5IUjidXZduaTxeejZG0aqJYJg9ugg1wwsB1emLso7Xupg3B0nCja7r8Afpc6CGenQl3t5bI/Y1tv6ZxSanV2WcJ1bTINNVLbLoGGlv6SKjPoCuwRh4v5FV20lKiz40TRRuZaUDfCVDOeddBcxVfbZSRc5t6JxpJqbT/zCQAMclJuj6A2jT8QQDGFy7lsvnVHAdw8d1GaS828sxdOFO1Qkpl+BMBM8HhFh90lz3KqZU7bK1SvD4EQdnmT/uhSWaQA2vTG1vvkjmRlXSUXDGyeHsCNcxelnZA6EGfBiaKdzCvivSp1HM7oKtnv292pPlzqOOyJAPK0w8wnADjlT/1O+bVe/8kiLneJOxcMbNYTcxelbZQ6CGfCiaJjHgfAJRPaaZ7y427xegup19ttBs3y8TJlW9sGlBdrPGpObbFXLE7qa/ACZe3WLf5wba3BeAVPqWujwbR/X08qT5I6jq4QV1dntzUM/oimxHo5Dra1/eCcRf1gWl6TAQcA3DZ3URr3stqJE0UHlWSmHwYwDQBX7WyDF5VLus314OTaWrvMfAIAENEvCVTa1uZeF04M8K04uNlu8TiPGgBTuURHx3Ci6ISSzPSfAfxL6jgcXW+cPamhQ8OkjqOrJNbW2XXAftUlsgQBtHkZ1Pjcd2PsNcDuJIwAbpq7KI0H9zuIE0UnlWSmL4NpzIK14BnlB/lEcJM6jq4SotcH27OSa7UH+R3ogx1tbW8qGLhnm73icQL3zl2U9rXUQTgzThQ2UJKZ/iKAhVLH4YjcoauZKNsZL3UcXYkA8rLTzCeLDybK23UvSkzB0mQIY3e8B+jluYvS+G+zkzhR2M69AL6SOghHc7/ii+0yEoFSx9HV+tfrz9nz+EUhFF2tQk5b25sKBm7ItWdMDmgFgAypg3AFnChspCQz3QjgZvC02QaE+Kf8+xCpo5BCvE5n9zt+v0qVlbenfcT+L0aQ0dDmgXAn9ytMxf54hpMNcKKwoZLM9BoAUwAUSR2LI5gqX79dRfqBUschBXvVfGooayilGIE2rz9hLhjYHRJFNoBr5y5Kq5M6EFfBicLGSjLTzwCYBOC41LFI7T+KlW2+OczVDNHpgu19Dr2CVLvDqV2Xk0JLf06VGXSF9orJARwBcPncRWnt6m0x6zhR2EFJZvpBAOlowxKWriqJigoCqXKI1HFIpZ/e0BdC2P3N6oNLZeHCNP2zTQig6MIVrvq6PA9TkuAy6zbGicJOSjLTdwK4HkC37P6+qFzSHWfY/I23Udh9AaETgRRyxqftU2UBoM/J7cnKuspd9opJIuUA/jF3UVq21IG4Ik4UdmRe8OhqmO4K7Tb64fQxNR3pNjfYtSRUX3++K86zYpys3UvKxuUuUblQwUBLkujO94rYFScKOyvJTP8ewOXoRpehnlO+X0SEbjs+YTFYV9fmS0KdsSmWkvUytOu+DRcqGFgB4LK5i9L+lDoQV8aJoguUZKavA3ApALvOrXcEnqitHifbnSB1HI4guVbn3SUnIqJ1g6mkvbsNzlnc18kLBpbDlCS2Sh2Iq+NE0UVKMtO3AhgH4KTEodjVQ4rPdsgI/lLH4QiG1Np/5pPFirGywaKdlzi9LhwP86046Kz3/ZwBMGHuojRX6BU5PE4UXagkM30vgEtgmsLncghG463yHwdIHYej6GMw9OmKmU8AUOVJAYd6tW9QGwDic5dEOWHBwBMAxs1dlNbu58s6hhNFFyvJTC8EMAam2vgu5Sb5r9uUZOBE0YCP0b41nxr6cKK83aVSVHXlvXqc3tPmVfMcwBEAl8xdlNbm8iWs8zhRSKAkM70EpmSRL3EoNvWoYpWH1DE4mgH19V1241deKGlq3JDX3v00BUuTnKRgYD6AMXMXpXHlgy7GiUIiJZnpR2G6DOUS89mHU16eP1UPljoOR5Og03XJzCeLb4bL2j1hQmHQ+QQf3ejoBQN/BpA6d1FaidSBdEecKCRUkpl+GsB4AE6/0PsLyvfOSx2DI0qp1fl25fm+GUHJogOz6yKLPx9BRoOjjp29C2Ayl+WQDicKiZVkppcDmABgkdSxdFR/Olk2iI51+xvsmpOg03Vp9dx6BbnvHUh727ufqWDgt3a/k7ydjAD+PXdR2l1zF6U58zRep8eJwgGUZKbXl2SmzwZwJ5yw5MfziveKiaCQOg5H1NNg7ElCnO3Kc74/UTZQAO2+6zq09CdHKhh4AcB1cxelvSp1IIwThUMpyUxfAmAsgKNSx9JWXqipHCPLHiJ1HI7M12js0tLex4Io9Jx3+6fKmgoGrqy0R0ztdAymmU1fSR0IM+FE4WBKMtO3AEgBsFnqWNriMcUnO4ngJ3UcjiysXt/l19Y/GSvr0CB6n5PbUiQuGLgHwDC+R8KxcKJwQCWZ6cdgGuT+n9SxWCOD0XCT/NdwqeNwdAk6XZefc308pehlHbuxMy73PZWt42mjTwCM5jLhjocThYMqyUyvK8lMnwVgFhx03GKG/KdtSjJ0y6VO2yO5i2c+AYAgkm2Kpf0d2TegfJ/G48LJriyNcQHAHXMXpd00d1Fah4pnEtH9RJRDRLlE9EAzjxMRLSCiYiLaS0RJDR67lYj2mb9uNW9TEdFa8zHnNGj7v4b7dhecKBxcSWb6/2CqEXVM4lCaeFjxadcUvXNyCbVdO/PJ4uPxsjgBdKg7MzhncZ8uKhiYA2Do3EVp73X0AEQUB9NEkGEAEgBcQUQRjZpNBhBp/roLwDvmfQMBPAVguHn/p4goAMBlADYBGAxghrltAgC5EGJnR2N1VpwonEBJZvofAJIB/C51LBajZdnZvlQTJ3UcziDIaOxBQrR5bWtbqfCioNIe6FB5Dq8Lx8N8K0vsXTDwfzCNR7T7bvJGYgBsFUJcEKbkth7AtY3aXAVgqTDZAsCfiPrClBB+EkKcFUKcA/ATTEsZ1wPwBKAEYFnv41kA/+1krE6JE4WTMI9bjAXwKIBaicPB84r3nK2QnKT8jEZJrrt/dKmswxMN4nPetVfBwHIA0+YuSps1d1GaLRb1ygEwhoiCiMgTpvVf+jdqEwyg4eyzI+ZtLW3/CUAYgC0AFhDRlQB2CiGcZkaiLXGicCIlmemGksz0VwAkAZBsoZYwOlYaSieHSnV+ZzSoC2s+NZQ9UBZXq0RBR/Y1FQzca+uCgdsAJM5dlPaprQ4ohMgH8BKAHwGsBbAbgKGTx9QLIW4WQiQC+AzAAwDmE9FrRLTanDi6DU4UTqgkMz0fwEgA/0EHr0F3xouK9w4SQd7V53VmCbV17V6u1FayhlKHL3tpCpYm2qhgoAHAKwBGzV2UdtAGx/sbIcR7QohkIcQlMJUwaVw4sAx/72WEmLe1tL2hOQCWAhgBc28IwMO2i97xcaJwUubeRSZMYxddVibaB9XlI2R5iV11PleRUlsr2b0mX46UJQnTG1y7KQy1vsFHN3W2pPduACPmLkp7dO6itPpOHqtZRNTL/G8oTOMTKxo1+QbATPPspxEAyoUQxwD8AOAfRBRgHsT+h3mb5bgBAK6AKVF4wlRWRADoVpWSOVE4uZLM9FwAqQDmoQum0T6hWLGbCD72Po+rGayrC5Xq3HVK8swdQLs7un9k8erUDhYMvADTmNrQuYvS7P1h5nMiygPwLYC5QojzRHQ3Ed1tfvw7mNaAKYapyOAcABCm8irPwnRJbBuAZ8TfS648CeB5IYQRpgQyBkA2gGV2fj4OhYRod0kY5qDCMrLiAXwEwC6f+OUw6AtVt55UkLGfPY7v6hLC+p80mj/5drWQU+Lg/CWGMPprBk+7lIT+4/cDg64a1Y5dfgQwe+6iNJdboKs74h6FCynJTM+GeS44TNP7bOp2+do/OUl0nL9EM58A4EhPGlju2fG1TwYc/ilVZqhry4JBpwDMmLso7TJOEq6DE4WLKclM15dkpj8DQAPgc1se+wHF5/62PF53M6iuXtKCe6sukXX4wwNByKKKVla00uwjADFzF6V93NHzMMfEicJFlWSmF5dkpl8PYBRMc8E7Zbxs1x5vqtV0PrLua4hOJ+nf228JlGKgjlcm7nvizxRlXdXuZh7aC2DC3EVpt81dlOYMS6qyduJE4eJKMtM3l2SmpwK4AUCHav8AwLPKD7q+sp2LSa7VSVpl1ygj+eYY2teZY8TlLVE2+LYMwD9hui/i104FxxwaJ4puoiQz/TOYLkc9CKBdC+mEU9mhYJxOsUtg3Ui8TjdA6hiWTZBpRCdmxwWc3xfrVX3sN5hmA6nnLkr7YO6itC5dF5x1PZ711A2FZWT5A3gCwL0AWi0p/Znb0xuGygovsXdc3UFCWP9jRlONIcm8vli/OfgsRnZg1zqYlux9PqYg/6SNw2IOjHsU3VBJZvr5ksz0fwOIBrASVpbN9EPV+RQqTO6y4FxcoMEoea2gpRNk7a36awDwIQB1TEH+/Zwkuh9OFN1YSWZ6SUlm+s0wrai3Gqa7Tv/mSeWyPUTw6vLgXFR4fX2H1luwpV0RssE6BdoyVlEHYAlMCeL2mIL8Q3YOjTkoThQMJZnpO0sy06cCiAKwGObqtAro66+WbYqSNDgXM6RW2plPFmtT6LiVhy8AWAAgIqYg/86Ygny+H6Kb4zEK1kRYRlZvAPffJ/885SHl5xOljseVbHFX5dzZt7fk63i414mqj+YbjAQ0XH3vDIA3AbwVU5DP01zZRZwoWMu0fl4AbgVwH0y9DdZJlUQVI8P6d/nSqM15epl+fcwRjIWpdtGbAJbHFORfkDgs5oA4UbDWaf0Ipqqa98O0+pdkJbNdwZCw/kcNRFKXQqmPLBPvPb/UsDKmIH+DxLEwB8eJgrWP1i8CwEwA0wEMkjgap5TWv9/2UwqFVPelHISpeur72bdmn5AoBuZkOFGwjtP6jQJwC0x3fQdKHI3TuKtPz/V/eHiM7cJTngfwBUxrNPyWfWs23yDH2oUTBes8rZ8bgHSYkkY62nATX3f2jr/vpoUB/qPtfJoaAGtguk/mu+xbs7kEC+swThTMtrR+AQCmwpQ0RoPHM5r4012V96++ve1RYFEP4GeYksOX2bdmS1qtlrkOThTMfrR+vWEaBJ9k/reHtAE5hgtE1cMHhHiCyBZJ9BxMK6+tAfB99q3Z7arjxVhbcKJgXUPrJwOQBFPSmATTQvVySWOS0JCw/kcMRCEd2FUA2AlTcvgBwObsW7P1Ng2OsUY4UTBpaP38AFwKU9K4DEB/aQPqWpf277fthEIxtA1NjQByAGwGsBHAz9m3ZnOtJdalOFEwx6D1C4Gp5lQKgGTzvy57qWp2757rNnl6jGvmoQoAWwH8DlNy2MJjDUxqnCiY49L6DcDfE0cyXGQa7v/8fDe9GegfDdPqcNnmf7cDyOHpq8zRcKJgzkXrNxCm8ugR5q9w878DAbhJGFlL6gEcAVAIoMDydVouy+vx33OnJI2MsTbiRMFcg6nMSG+Yxjr6Awg1/xsEwAem4ne+jf7vjfZP3zXA9OZfBeB4G77OQlvOf2TMqXGiYN2XKbl446/kIYcpCVi+6hp9Xw9tOV8WYt0OJwrGGGNWOcQiKowxaRHR+0R0kohyWnh8HBGVE9Fu89eTDR67n4hyiCiXiB5osP0lItpLREsbbLulYRvmHDhRMMYA05rYk1pps1EIMcT89QwAEFEcgDsBDAOQAOAKIoogIj8ASUKIwQDqiCieiDwA3A7gbbs9C2YXnCgYYxBCbADQkfIfMQC2CiEuCCH0ANYDuBamGwWVZCpT4gnTGM8jAN4UQtTbKGzWRThRMMbaKpWI9hDR90QUa96WA2AMEQURkSeAywH0F0JUAvgOwC4AxwCUAxguhPhKisBZ5/BgNmMMAEBEYQDWCCGarOlNRL4AjEKIKiK6HMD/CSEizY/9C8AcANUAcgHohBAPNNp/CYCFMNX7+geAvUKI5+z4dJgNcY+CMdYqIUSFEKLK/P/vYLqs1MP8/XtCiGQhxCUwVbMtargvESXCdL9KIYCpQogbAIQTUWSXPgnWYQqpA2CMOT4i6gPghBBCENEwmD5knjE/1ksIcZKIQmEanxjRaPdnAdwFQIm/KgYbYRq7YE6AEwVjDES0EsA4AD2I6AiAp2B6Y4cQYhGA6wHMJiI9TKvn3Sj+um79OREFwTRgPVcIcb7Bca8GsF0IcdT8/W4iyobp0tOernhurPN4jIIxxphVPEbBGGPMKk4UjDkoInInoj/NU1JziejpFtrdQER55jYrGmxfS0TniWhNo/bLzXdMv9Bg2zzzZSLGmuAxCsYclw5AmnlKqhLAJiL6XgixxdLAPHPoPwBGCSHOEVGvBvu/AtOA8awG7QcDqBFCDCain8x3UHvCdI8DT1dlzeIeBWMOSphUmb9Vmr8aDyreCeBtIcQ58z4nG+z/C4DGq+PVA/AgIpn5eAYAz8A0eM1YszhRMObAiEhORLsBnATwkxBia6MmagBqIvqdiLYQkdV6TUKIfACnAOwE8C1Miz7JhBA7bR89cxV86YkxByaEMAAYQkT+AL4kojghRMMKrwoAkTBNbQ0BsIGI4htOUW3mmA9Y/k9E3wKYRURPwFTU7ychxLu2fh7MuXGPgkmupTLVDR6/yjz4upuIthPRaPP2AUS007w9l4juNm9XmQdyc4hoToPj/I+IkrrsidmQ+Y3/NzSt8HoEwDdCiHohxEGY7opu0x3PRHQVgB0wLd4Ubr5j+npzzSbGLuJEwSTVUpnqRs1+AZAghBgC4J8Alpi3HwOQat4+HEAGEfUDcBmATQAGA5hhPk8CALkzXWIhop7mngTMJbonwrTmdkNfwdSbgLmkhhrAgTYcWwngAQAvA/DAX2Mfcjjm2uNMQpwomNRaKlN9kRCiqsFdwF4wv6kJIeqEEDrzdhX+ej3XwzSTR4m/1sR+FsB/7fYs7KMvgN+IaC+AbTBdFlpDRM8Q0ZXmNj8AOENEeTD1OP4thLCU1tgI4DMAE4joCBFd1uDYcwF8JIS4AGAvAE/zHdM7rF22Yt0T35nNJEVEMQC+BpAKU2mIX2Aq+XBvo3bXAHgRQC8A6UKIP8zb+wPIgmlQ9t9CiLeJSAFgKUxJ6BUAVTAtoqPtkifFmIvhRMEk15Yy1Q3aXgLgSSHEpY2294PpMswUIcSJBtuVMH3qvgrA0wBCASwVQnxj+2fCmGviS09Mcq2VqW7UdgOAQZYS1w22H4V5EZ1Gu8yBqXcxAqbFc6YBeNiG4TPm8jhRMMlZ7iZuUKZ6RaPHI8xLasI8a0kF03X5EPMgL4goAMBomNY8QINtV8CUKDxhKm0tYBq8ZYy1Ed9HwRxBkzLVlqmu5hLX1wGYSUT1MI1jTDOvixADYD4RCZgGrV8VQmQ3OO6TAJ4XQhiJ6AeYBnCzASzquqfGmPPjMQrGGGNW8aUnxhhjVnGiYIwxZhUnCsYYY1ZxomCMMWYVJwrGGGNWcaJgjDFmFScKxhhjVnGiYIwxZpVL35m9Y8eOXgqFYgmAOHBSZIw5ByOAHL1ef0dycvLJVlt3AZdOFAqFYkmfPn1ievbseU4mk/Et6Iwxh2c0GunUqVOa48ePLwFwZas7dAFX/5Qd17NnzwpOEowxZyGTyUTPnj3LYboS4hBcPVHIOEmwrrB27Vrvn376yUvqOGytsLDQbdGiRYFSx9HdmN+3HOb92WECcVVTp04NCwwMTIiMjIztzHF+++03z+joaE10dLQmKipKs3TpUn8bhWg3CxYsCJo5c2aovc+zbNky/x07dri3Zx9bxnb8+HH5M88803f48OE1lm3Dhg2L2rBhgycAZGRk9GnYPjExMdoW523Nt99+62N5zURHR2tUKlXSsmXL/K3tU1hY6GZ5rer1esyaNSs0NTW1uiviZY7LpccoGgvLyEq25fFKMtN3tNbmn//85+n777//5O233z6wM+dKSUmpzc7OzlMqlTh06JAyMTFRc9NNN51XKpWdOaxDqa+vR0eez1dffeWv1+vLk5OTa+0QVqt27drl8e677x729fU1Nvf4ggUL+mZmZh5v0L6gK+KaMmVK5ZQpU/IA4MSJE3K1Wh1/9dVXV7R1/9zcXNVjjz12PCEhQdd6a+bKuEdhZ5MnT67q2bOn3lqbFStW+A0ePDg6JiZGM3LkSHVpaWmTBO7j42O0vInW1NRY1vH5m5dffrnnrFmzQizfN/zUvHDhwsD4+PiY6Ohozc033zxArzeFtHr1al+NRhMTFRWlSU1NVQNARUWFbOrUqWHx8fExMTExmo8//tgfALZv3+5uOYZardZkZ2erGsfwf//3f0FhYWFx8fHxMZs3b/a2bL/uuuvCPvjggwDL956enokAsGbNGp/k5OSotLS0iMjIyDgAuPTSS8NjY2NjIiIiYl999dUeDfe59957g6OiojQJCQnRpaWlip9++snr559/9p83b15IdHS0Jjc3V5Wbm6saM2ZMZGxsbExycnLUrl27rPY2CgsL3UaMGKFWq9Wa1NRU9b59+9wA4P333w+IjIyMjYqK0qSkpEQ13m/NmjU+48ePj5g8eXJVbGysbubMmaELFiwIathmzpw5wTqdThYdHa258sorBzZ+7kOHDo2aMGFCeEhISPycOXOC33nnncD4+PgYtVqtyc3NVXUmvoaWLVsWMHbs2HIfH58myWzjxo2eUVFRmqioKM1rr73Wy7K9tLTU7eWXX+4DmHq0Q4YMiY6JidEkJiZG79mzRwW07TXBnB8nCgcwceLEqt27dxfk5+fnXX/99WefeeaZPs21+/XXX70iIiJik5KSYl9//fVDjT9933LLLee+//57f8v3q1evDpw+ffrZnTt3uq9evTpw+/btBQUFBXkymUwsWrQo6OjRo4p77rkn7IsvvthfWFiY99VXX+0HgMcff7zv+PHjK7Kzs/M3btxYOG/evJCKigrZm2++2XPOnDknCgoK8vbu3Zs/cODAuobnP3TokDIzM7Pf5s2bC7Zt21ZQVFTUppXk8vLyPBcuXHi4pKQkBwCWL19ekpubm7979+68xYsX9z5+/LgcAGpqamSpqalVhYWFeampqVVvvvlmz4kTJ1Zfeuml55977rkjBQUFebGxsbo77rhjwMKFCw/n5ubmv/LKK0dmz55t9RLT7NmzQ6dPn36mqKgob9q0aWdmz57dHwAyMzP7/vjjj0WFhYV5a9euLW7Lc2ls4cKFZSqVylhQUJD3zTffHGz8eEFBgcf7779/eN++fTmrV68OKioqcs/Ozs6fMWPG6fnz5/eyVXyrV68OvOmmm84299i//vWvsDfeeONwYWFhXkv7JyQk1G7btq0gPz8/76mnnip79NFHQwCgtdcEcw3d6tKTozp48KDb1VdfHXLq1CllXV2drH///s129dPS0qqLi4tzd+7c6X7rrbcOvP7668s9PT0vDtb369dP379/f90vv/ziFRsbW7t//373iRMnVmVmZvbMycnxTEhIiAGA2tpaWa9evfTr1q3zGjZsWGV0dHQdAPTu3dsAAOvWrfP94Ycf/BcsWNAHAHQ6HRUXF7ulpqZWv/rqq32PHDniduONN56Lj4//W5wbNmzwGjFiRGW/fv30AHDttdeeLSoqanXsYPDgwdWWGADgpZde6p2VleUPAMePH1fm5ua69+nTp1qpVIobb7yxHACSk5Orf/75Z9/GxyovL5ft2rXLe+rUqeGWbXV1dU27Xw3s2rXL6/vvv98PALNnzz779NNPhwBASkpK1fTp08Ouu+66c9OnTz/X2vPoiPj4+OoBAwbUA0BoaKhu8uTJ5QCQkJBQs379eh9bxHfo0CFlYWGhx7XXXtvkstPp06fllZWV8smTJ1cBwD//+c8zv/76q1/jdmfPnpVPmzZtYElJiTsRifr6egKA1l4TzDVwj8IB3HPPPaFz5sw5WVRUlPfWW28d0ul0Vn8vSUlJtV5eXobt27c3+cQ+derUsytXrgz4+OOPAyZPnnxOJpNBCEFTp049U1BQkFdQUJBXUlKS89prrx1t6fhCCKxevbrY0v7YsWPZSUlJtXfffffZr7/+utjDw8N4xRVXRH7zzTc+bX2OCoVCGAwGAIDBYIDljQYAPD09L14OWbNmjc/69et9tm/fXlBYWJgXExNTU1NTI7McQyaTWY4HvV7fJAEYDAb4+PjoLbEXFBTkHThwILetcTa0YsWKw88999zR0tJSt+TkZI2lZ2OhVCqF0fjXlRydTmc1ITVHpVJdTPQymQzu7u7C8n+DwWD1eK3FZ7F06dKASZMmnW94rvZ67LHHgseOHVu5b9++3G+//ba4rq5OBgCdeU0w58GJwgFUVlbKQ0ND6wHgww8/DGquTUFBgVt9fT0AoKioyO3AgQPukZGRTbr506dPP//DDz/4f/bZZ4HTp08/CwCTJk2qWLNmTUBZWZkCMA1sFhUVuY0bN676zz//9CkoKHCzbAeA8ePHV8yfP7+35U3w999/9wCAvLw8t5iYGN28efNOXnbZZed37979t0R1ySWXVG/dutXn+PHjcp1OR19++eXFMYkBAwbU7dixwxMAVqxY4d/cmzwAnD9/Xu7n52fw8fEx7tq1y33Pnj2tTjn19vY2VFRUyAAgMDDQGBISUvf+++8HAIDRaMQff/xh9RJYYmJi9ZIlSwIAYPHixYEpKSlVgGkwNy0trfqNN944GhAQoD9w4IBbw/3Cw8N1xcXFHjU1NXT69Gn5pk2bmvRwAFOC60gS6Wx8FqtXrw68+eabm73s1KNHD4OPj4/hhx9+8AaADz/8sNmpsBUVFfKQkJA6cwwXx41ae00w18CJws6mTJkycPTo0dEHDx5U9e7de/Drr7/eo3GbJ5544uhNN90UHhsbGxMUFNTswPcvv/ziHRMTExsdHa25+uqrw+fPn3+4b9++Tdr27NnTEBERUVtWVqYaP378BQBITk6unTdvXtmECRPUarVak5aWpi4tLVX269dPv2DBgpJrrrkmIioqSnPNNdcMAoDMzMyjer2eoqOjNREREbHz5s0LBoCPP/44UK1Wx0ZHR2vy8/M9Zs2adabhuQcMGFD/2GOPHR0xYkRMSkpKtFqtvjgL6d577z21efNmn6ioKM3mzZu9PDw8mp0hdN1115Xr9XoaNGhQ7L///e/ghISEVqdmTp8+/eyCBQv6xMTEaHJzc1UrV6488MEHH/SIiorSREZGxn7++ef+1vZftGjR4WXLlvVQq9WalStXBi1cuLAUAB588MEQtVqtiYyMjB06dGjViBEjahruFxERUT9lypRz0dHRsVddddWg2NjYCy3EdyomJubiYHZ7dTQ+wDQQfuzYMbfLL7+8sqXjv/feeyX33XdfaHR0tEYI0WxCe+yxx45rtdqQmJgYjWUiBND6a4K5BhLCde9H27NnT0lCQsJpqeNgjLH22rNnT4+EhIQwqeMAuEfBGGOsFZwoGGOMWcWJgjHGmFWcKBhjjFnFiYIxxphVnChYqxYsWBBUUlLiOtUHGWPtwonCzmxVZtwWGpaQtqZhAb/Vq1f7bt261SssLKze/hEyxhxR96r1pPWzaZlxaMu7rMy4VI4ePap8//33S6WOgzEmHe5R2FlrZcbPnDkj79evX7ylDlJFRYWsT58+g3U6HbVULrvhYjTu7u5JWVlZ3g2PWVhY6JacnByl0WhiNBpNTGsrrxmNRsycOTM0LCwsbuTIkerTp09f/ADx8ccf99i6dasHAEyfPj00Li4uJiIiIvbBBx/s14kfC2PMiXCikFhQUJAhJibmwnfffecDAKtWrfIbO3ZsuUqlEi2Vy7YUu3vyySfLYmNjqy+99NK/lbno16+ffuPGjUV5eXn5q1atOvDggw9aLbO9bNky/+LiYlVxcXHOihUrDu7cudO7uXavvfZaWU5OTn5BQUHu77//7mNJIIwx19a9Lj05qKlTp55buXJlwJQpUyo//fTTwDlz5pxqrVx2dna26oknnghZt25dUeOqoHV1dfSvf/1rQF5enodMJsOhQ4esLiazfv16nxtuuOGsQqFAWFhYfWpqarN1gT766KPADz/8sIder6dTp04p9+zZ495w+U/GmGviROEAbrrppvPPPvts8IkTJ+Q5OTmeU6ZMqaioqJBZymU3bl9eXi674YYbwt95551DlrUMGnr++ed79+rVq/7zzz8/aDQa4eHh0emxmYKCAre33nqr944dO/J79uxpuO6668Jqa2u5R8pYN8B/6A7Az8/POHjw4OpZs2aFTpgwoVyhUFgtl33TTTeFTZ8+/fSkSZOqmjteeXm5vG/fvvVyuRwLFy4Msox/tGTs2LGVq1evDtTr9Th06JByy5YtTdYUOHfunNzDw8MYGBhoKC0tVaxbt67J4jaMMdfEicLO2lJmHABuuOGGc19//fXflqtsrlx2UVGR29q1awM+/vjjHpYB7Q0bNng2PNYDDzxwcuXKlUFRUVGagoIC95ZKelvMmDHj/KBBg3QRERFxN910U1hiYmKTBJSamloTFxd3ITw8PO6GG24YlJyc3GySYoy5Hi4zzhhjDojLjDPGGHManCgYY4xZxYmCMcaYVZwoGGOMWcWJgjHGmFWcKJhN6XQ6euaZZ3rp9S2Wt2KMORlOFHZUXFysHD58uDo8PDw2IiIi9tlnn+0ldUztsWDBgqCZM2darRMFAMHBwfHHjh1TAMBDDz3Ur0+fPvUKBd/0z5ir6FZ/zfEfxdu0zHj2rdlWy4wrlUrMnz//yOjRoy+cO3dOlpiYqLn88ssrkpOTa20Zh6OoqqqiuLi4mrvuuuuc1LEwxmyHexR2NGDAgPrRo0dfAICAgABjeHh4zeHDh90atulImfHS0lLFxIkTw6OiojRRUVEaSxnxhQsXBsbHx8dER0drbr755gF6vR56vR7XXXddWGRkZKxardY8/fTTTXo1K1as8Bs8eHB0TEyMZuTIkerS0lKrHyCOHz8uHzVqVGRERETstGnTBlhu2vT29hYPP/zwAMBUjyo1NVWt0Whi1Gq15uOPP/bv9A+UMSYJThRdpLCw0C0vL89z7Nixfyt90ZEy43fffXfomDFjKgsLC/Nyc3PzkpKSanfu3Om+evXqwO3btxcUFBTkyWQysWjRoqA//vjD89ixY8p9+/blFhUV5c2dO/dM49gmTpxYtXv37oL8/Py866+//uwzzzzTx9pzycjI6JeamlpVXFyce80115w/duyYW+M2np6exqysrOK8vLz89evXFz3++OMhRqPVSiKMMQfVrS49SaW8vFx27bXXhmdmZpYGBgY2ebdsb5nxzZs3+6xevfogACgUCgQFBRkWL14cmJOT45mQkBADALW1tbJevXrpp02bdr60tFR166239p8yZUr5NddcU9H4/AcPHnS7+uqrQ06dOqWsq6uT9e/fX2ft+WzZssXniy++KAaAG2+8sXzWrFlNqg4ajUZ64IEHQrZs2eItk8lw8uRJtyNHjihCQ0N5lJsxJ8OJws50Oh2lp6eHT5069eytt956vrk27S0z3hwhBE2dOvXM22+/Xdb4sZycnLwvv/zSd9GiRT1XrVoV+Nlnn5U0fPyee+4Jvf/++49Pnz69fM2aNT7PPPNMp1evW7x4ceCZM2cU2dnZ+SqVSgQHB8fX1NRwD5YxJ8R/uHZkNBpx4403DlCr1bVarfZES+3aW2Z81KhRla+88kpPANDr9Thz5ox80qRJFWvWrAkoKytTAMCJEyfkRUVFbseOHVMYDAbcdttt51988cWy7Oxsz8bnr6yslIeGhtYDwIcffhjU2vMaMWJEpaXdp59+6ltRUSFv3Ka8vFzeo0ePepVKJb799lufo0ePNrk8xRhzDpwo7Oinn37y/uqrr4I2bdrkYykJvmrVqmbXcWhrmXEAeOeddw6vX7/eR61Wa+Li4jS7du1yT05Orp03b17ZhAkT1Gq1WpOWlqYuLS1VlpSUKEePHh0VHR2tmTFjxqBnnnnmSONzP/HEE0dvuumm8NjY2JigoKBWLw1lZmYe/f33370jIiJiv/jii4C+ffvWNW5zxx13nN2zZ4+XWq3WfPTRR0EDBw50yZlejHUHXGacMcYcEJcZZ4wx5jQ4UTDGGLOKEwVjjDGrOFEwxhizihMFY4wxqzhRMJs6ffq0/KWXXuopdRyMMdvhRGFHFy5coPj4+JioqChNRERE7IMPPtjpO5670kMPPdTvySef7N1aO09Pz0TL/++8887+CQkJNfaNjDHWlbpVCY/86BiblhmPKci3Wmbc3d1dbNq0qdDPz8+o0+lo6NChUb/88kv5hAkTqm0Zh6MoLS1VXH/99ecmTZpU1Xprxpiz4B6FHclkMvj5+RkBU0E/vV5PRPS3Nrt27XKPj4+PsXxfWFjoplarNQCwceNGz6FDh0bFxsbGjB49OvLQoUNKAMjJyVGNHDlSHRUVpdFoNDG5ubkqAPjvf//bOy4uLkatVmssvZeKigrZuHHjIix3d7/77rsBjeOcP39+j7i4uJioqCjNZZddFl5ZWWn1dVFQUOA2ZMiQaLVarbnvvvsu9pIuXLgg02q1IZbnkZycHKXRaGI0Gk2MpRQ6Y8z5cKKwM71ej+joaE3v3r0Txo4dW5GWlva33kRiYmJtfX09FRQUuAHA0qVLA6+++upzOp2O7rvvvtCvv/56f25ubv6tt956+pFHHgkGgJtvvnng3XfffbKwsDBv+/btBaGhofVffPGFb3FxsfvevXvz8/Pz83bv3u35/fffe3/xxRe+ffr0qS8sLMzbt29f7rXXXtukeuz06dPP5eTk5BcWFuZFRUXVLFiwoIe15zRnzpzQO+6441RRUVFe375965tr069fP/3GjRuL8vLy8letWnXgwQcfbHWlPMaYY+JEYWcKhQIFBQV5hw8f3rtz506vbdu2uTduc/XVV59dunRpIAB8+eWXATNmzDi7d+9e1b59+zzS0tLU0dHRmldeeaXv0aNHlefOnZOdOHHCbebMmecBwNPTU/j4+BjXrl3ru2HDBl+NRqOJjY3V7N+/372goMA9KSmpZuPGjb6zZ88OXrt2rXdQUFCTkuA7duzwSE5OjlKr1ZrPP/88KDc3t0mMDe3cudP7zjvvPAsAs2bNarK+BWDqQd18881harVaM3Xq1PD9+/dbPSZjzHF1qzEKKfXo0cMwZsyYym+//dZv6NChfyuQN2PGjHNTp04ddOONN54jIsTHx+v+/PNPj4iIiJrdu3cXNGx77ty5ZpO7EAIPPPDAsX//+99Nalvt3Lkz7/PPP/f773//G/zzzz9XvPrqq8caPn7XXXcNXL16dXFqamrNggULgtavX+/T2vORyWRWi4Q9//zzvXv16lX/+eefHzQajfDw8LDp+BBjrOtwj8KOjh49qjh9+rQcMK0n/dtvv/nGxMQ0qaIaGxurk8lkePLJJ/tdc801ZwFg8ODBtWfPnlX8/PPPXoBpXYvt27e7BwQEGPv06VO3bNkyfwCoqamhyspK2eTJkyuWLVvWo7y8XAYABw8eVJaVlSlKSkqUPj4+xjlz5px96KGHju/evbtJmfELFy7IQkND63U6HX3yySeBrT2vpKSkqnfffTcQAN59991my5KXl5fL+/btWy+Xy7Fw4cIgy1KvjDHnw4nCjkpLS5VjxoyJUqvVmsTERM348eMrbrrppvLm2l577bVnv/7668AZM2acA0wzpj755JP9GRkZIVFRUZrY2FjN+vXrvQHg448/Pvj222/3UqvVmpSUlOjS0lLFtddeWzF16tSzQ4cOjVar1Zprrrkm/Pz58/IdO3Z4DBkyJCY6Olrz/PPP93vyySePNT53RkbG0WHDhsWkpKRER0ZGtloOfOHChYf/97//9VKr1ZqysjJlc20eeOCBkytXrgyKiorSFBQUuHt4ePA6qIw5KS4zzhhjDojLjDPGGHManCgYY4xZxYmCMcaYVZwoGGOMWcWJgjHGmFWcKBizgbVr13q7Yj2rwsJCt0WLFrV6bw1zbZwouoBer0dMTIxm/PjxEZ05zpo1a3yio6M1ERERsUOHDo2yVXz2smDBgqCZM2favcbTsmXL/Hfs2NGuEiG2jO348ePyZ555pu/w4cMvllcfNmxY1IYNGzwBICMjo0/D9omJidG2OG9rvv32W5/o6GiN5UulUiVZbtRsSWFhoVtkZGQsYHrdzpo1KzQ1NdUlqx2ztutWJTzevvtXm5aRmLsozWqZcYvnnnuud0RERE1VVZW8o+c6ffq0/P777w9du3btvsjIyLqysjKX+93V19dDqWz2/j2rvvrqK3+9Xl+enJzc6s2C9rBr1y6Pd99997Cvr2+zNxUuWLCgb2Zm5vEG7Quaa2drU6ZMqZwyZUoeAJw4cUKuVqvjr7766iZFIVuSm5ureuyxx44nJCTo7Bclcwbco7Cz/fv3K3/44Qe/O++8s8Ub/9pS5nvJkiWB6enp5yIjI+sAIDg4WN+4zcsvv9xz1qxZIZbvG35qXrhwYWB8fHxMdHS05uabbx6g15t2X716ta9Go4mJiorSpKamqgFTafKpU6eGxcfHx8TExGg+/vhjfwDYvn27u+UYarVak52drWocw//93/8FhYWFxcXHx8ds3rzZ27L9uuuuC/vggw8ulji3LHa0Zs0an+Tk5Ki0tLSIyMjIOAC49NJLw2NjY2MiIiJiX3311R4N97n33nuDo6KiNAkJCdGlpaWKn376yevnn3/2nzdvXkh0dLQmNzdXlZubqxozZkxkbGxsTHJyctSuXbus9jYKCwvdRowYoVar1ZrU1FT1vn373ADg/fffD4iMjIyNiorSpKSkNOnBrVmzxmf8+PERkydProqNjdXNnDkzdMGCBX8raTJnzpxgnU4ni46O1lx55ZUDGz/3oUOHRk2YMCE8JCQkfs6cOcHvvPNOYHx8fIxardZYysd3NL6Gli1bFjB27NhyHx+fJsls48aNnlFRUZqoqCjNa6+91suyvbS01O3ll1/uAwC//fab55AhQ6JjYmI0iYmJ0Xv27FEBbXtNMOfHicLO5s6d2//ll18+IpO1/KNuS5nvoqIi93PnzimGDRsWFRsbG/PWW281qbF0yy23nPv+++/9Ld+vXr06cPr06Wd37tzpvnr16sDt27cXFBQU5MlkMrFo0aKgo0ePKu65556wL774Yn9hYWHeV199tR8AHn/88b7jx4+vyM7Ozt+4cWPhvHnzQioqKmRvvvlmzzlz5pwoKCjI27t3b/7AgQPrGp7/0KFDyszMzH6bN28u2LZtW0FRUZFHW35GeXl5ngsXLjxcUlKSAwDLly8vyc3Nzd+9e3fe4sWLex8/flwOADU1NbLU1NSqwsLCvNTU1Ko333yz58SJE6svvfTS888999yRgoKCvNjYWN0dd9wxYOHChYdzc3PzX3nllSOzZ8+2eolp9uzZodOnTz9TVFSUN23atDOzZ8/uDwCZmZl9f/zxx6LCwsK8tWvXFrfluTS2cOHCMpVKZSwoKMj75ptvDjZ+vKCgwOP9998/vG/fvpzVq1cHFRUVuWdnZ+fPmDHj9Pz583vZKr7Vq1cH3nTTTWebe+xf//pX2BtvvHG4sLAwr6X9ExISardt21aQn5+f99RTT5U9+uijIQDQ2muCuQaXu3zhSFauXOnXo0cP/ZgxYy6sWbOmxYqsO3bs8HjyySeDKysr5dXV1fKxY8c2qQel1+tp7969nhs3biyqrq6WjRgxIvqSSy6pGjx48MXLAv369dP3799f98svv3jFxsbW7t+/333ixIlVmZmZPXNycjwTEhJiAKC2tlbWq1cv/bp167yGDRtWGR0dXQcAvXv3NgDAunXrfH/44Qf/BQsW9AFMBQmLi4vdUlNTq1999dW+R44ccbvxxhvPxcfH/+2SxIYNG7xGjBhR2a9fPz1gql9VVFTU6tjB4MGDqy0xAMBLL73UOysryx8Ajh8/rszNzXXv06dPtVKpFDfeeGM5ACQnJ1f//PPPvo2PVV5eLtu1a5f31KlTwy3b6urqqHG7hnbt2uX1/fff7weA2bNnn3366adDACAlJaVq+vTpYdddd9256dOnn2vteXREfHx89YABA+oBIDQ0VDd58uRyAEhISKixVPHtbHyHDh1SFhYWejS3Fsnp06fllZWV8smTJ1cBwD//+c8zv/76q1/jdmfPnpVPmzZtYElJiTsRifr6egKA1l4TzDVworCjTZs2ef/000/+wcHBfjqdTlZdXS276qqrBn799dd/+2TZljLfISEhdUFBQXpfX1+jr6+vcfjw4ZXbt2/3bJgoAGDq1KlnV65cGRAdHV07efLkczKZDEIImjp16pm33367rGHbFStWNHlDAEwly1evXl3c+Np0UlJS7ZgxY6q//PJLvyuuuCLyzTffPHTllVdWtuVnoVAohKWCrMFggOWNBgA8PT0vXg5Zs2aNz/r16322b99e4OPjYxw2bFhUTU2NzHIMS89MoVBAr9c3SQAGgwE+Pj76goKCFj8dt9WKFSsO//rrr17ffPONX3JysmbHjh15ffr0uVgGV6lUCqPxrys5Op3OakJqjkqlulhsTSaTwd3dXVj+bzAYrB6vtfgsli5dGjBp0qTzDc/VXo899ljw2LFjK3/66af9hYWFbmlpaVEAcPfdd5/t6GuCOQ++9GRHb7/9dtmJEyf2lpWVZX/44YcHRowYUdk4SQBtK/N9/fXXn9+yZYt3fX09KisrZbt27fKOj4+vadxu+vTp53/44Qf/zz77LHD69OlnAWDSpEkVa9asCbAMgJ84cUJeVFTkNm7cuOo///zTx7K63okTJ+QAMH78+Ir58+f3trwJ/v777x4AkJeX5xYTE6ObN2/eycsuu+z87t27/3Zp6ZJLLqneunWrz/Hjx+U6nY6+/PLLi2MSAwYMqNuxY4cnAKxYscK/uTd5ADh//rzcz8/P4OPjY9y1a5f7nj17Wp1y6u3tbaioqJABQGBgoDEkJKTu/fffDwAAo9GIP/74w+olsMTExOolS5YEAMDixYsDU1JSqgDTYG5aWlr1G2+8cTQgIEB/4MABt4b7hYeH64qLiz1qamro9OnT8k2bNjXp4QCmBNeRJNLZ+CxWr14dePPNNzd72alHjx4GHx8fww8//OANAB9++GGzr7+Kigp5SEhInTmGi5dGW3tNMNfAicIBtKXMd1JSUu2ll15aHh0dHZuUlBQzY8aMU40XQAKAnj17GiIiImrLyspU48ePvwAAycnJtfPmzSubMGGCWq1Wa9LS0tSlpaXKfv366RcsWFByzTXXRERFRWmuueaaQQCQmZl5VK/Xk2Uq7rx584IB4OOPPw5Uq9Wx0dHRmvz8fI/Gq9sNGDCg/rHHHjs6YsSImJSUlGi1Wn0xvnvvvffU5s2bfaKiojSbN2/2aqns+HXXXVeu1+tp0KBBsf/+97+DExISWp2aOX369LMLFizoExMTo8nNzVWtXLnywAcffNDDsk74559/7m9t/0WLFh1etmxZD7VarVm5cmXQwoULSwHgwQcfDFGr1ZrIyMjYoUOHVo0YMeJviTkiIqJ+ypQp56Kjo2OvuuqqQbGxsRdaiO9UTEzMxcHs9upofIBpIPzYsWNul19+eYuf8t97772S++67LzQ6OlojhGg2oT322GPHtVptSExMjMYyEQJo/TXBXAOXGWeMMQfEZcYZY4w5DU4UjDHGrOJEwRhjzCpOFIwxxqziRMEYY8wqThQu6scff/Rau3atd+stXdPzzz/fq7y8nF/fjNkA/yF1AVuVGW+rM2fOyLVabb/hw4c3O6/fmVgK77XWrmFZ75dffrlndXW1zM/Pr9l7NRhj7dOtSnjMn3aFTcuMP7xqTZeVGW+PXbt2ub/zzjuHAwICut0bpcFggJubm/GFF144JXUsjLkK7lHYWVvKjG/evNkjISEhWq1WayZOnBh+6tSpJgnluuuuC5s+fXpoQkJCdEhISPyaNWt8pk6dGjZo0KDY6667LszSbvr06aEPPPBA6LXXXhvx4IMP9rNsnzNnTnB4eHisWq3W3HXXXSENj20wGBAcHBx/+vTpi+cdMGBAXGlpqeLo0aOKyy67LDwuLi4mLi4u5scff/QCTMX3rr/++jC1Wq1Rq9WaDz/80B8AvvjiC98hQ4ZEazSamMmTJw+yXP6xdn6g5TLWLamqqqIrrrhi0KBBg2InTpwYXltbSwAgl8vxyiuv9Dt27JgCaLlkOWOs7bpVj0IKljLj5eXlLfYmbrvttoGvv/764fT09KoHHnig32OPPdbv/fffL23crry8XLFr166CFStW+N94440Rv/76a0FycnLN4MGDYzZv3uwxcuTImtdee62sd+/ehvr6eqSmpkZt3brVY8CAAXXfffddwIEDB3JkMhkaJgTA9Ob6j3/84/zy5cv977///jO//vqrV3BwcF3//v31U6ZMGfjQQw+duOyyy6r27dvndtlll0UeOHAgNyMjo6+vr6+hqKgoDwBOnTolP3bsmOKFF17ou2HDhiJfX1/jE0880efZZ5/t/cgjj5y0dn7grzLWSqUSX331lc+jjz4a8sMPP+xv6Wf26quv9vLw8DAeOHAgd+vWrR6jRo3SNNdu+fLlJb179zZUVVVRYmKi5pZbbjnXXOE8xljLOFHYUVvKjJ85c0ZeWVkpT09PrwKAO++888zUqVMHNdc2PT39vEwmQ1JS0oWgoKD6YcOG1QCAWq2u2b9/v2rkyJE1y5cvD1i+fHkQEeHw4cOqPXv2uCclJdWoVCrjtGnTwq644orz06ZNa1LG/Oabbz77zDPP9Lv//vvPLF++PPC66647CwC///677759+y4WequqqpKXl5fLNmzY4PvJJ58csGzv2bOnYeXKlX779+93HzZsWDQA1NfXU3JyclVQUJChtfO3VMa6JZs2bfK+7777TgLA8OHDa9RqdbPjMS2VLLd2bMbY33GisKO2lhlvK0sJarlcDjc3t7+Vp9br9VRYWOi2YMGCPnv27Mnz8/MzXnvttWG1tbUypVKJ3bt353/zzTe+q1evDnjnnXd6bdmypajhsSdMmFD9r3/9S3X06FHF2rVr/Z9//vmjgKnk+M6dO/M9PT1bLQomhMDo0aMrvv322ybPr7Xzt1TGujOslSxnjLUd/9HYUVvKjAcFBRl8fX0Nlqms7733XlBqampVR8535swZuUqlMnp7extLS0sV69ev9wNM4wnmT+zlixYtKi0oKPBsvK9MJsPkyZPPz5kzp39ERESN5fLM6NGjK1588cWLy2Nu3rzZAwDGjh1b8frrr1/cfurUKfm4ceOqt2/f7p2Tk6MCTEuq7t27V9WW87dUxrolo0ePrlq+fHkgAGzbts29qKioyTE7UrKcMdYUJwoH8MEHHxx87LHHQtRqtWbv3r0emZmZRztynBEjRtRoNJoL4eHhcTfccMOg5OTkKsD0hjlp0qRI85rLUc8++2yT8Q/AVK7766+/Drz++usvrpb2v//9r3Tnzp1earVaEx4eHvvWW2/1BIAXX3zx2Pnz5+WWNZu/++47n379+ukXL15ccuONNw5Sq9WalJSU6OzsbPe2nL+lMtYteeSRR05WV1fLBw0aFPvEE08EazSaJpeTOlKynDHWFJcZZ4wxB8RlxhljjDkNThSMMcas4kTBGGPMKk4UjDHGrOJEwRhjzCpOFIwxxqziRGFncrk8OTo6WhMREREbFRWleeqpp3obDNZLDRUWFrotWrQosItCbFbD8t7Lly/3e/zxx/s0187T0zOxayNjjHW1blXC40jGRpuWGQ/JHNNqmXGVSmUsKCjIA4CysjLF1KlTB1VUVMhff/31Fm+q27dvn2rVqlWBd99991lbxmuNXq+HQtH8y2H69OnlAJrUZ2KMdQ/co+hCwcHB+iVLlpR88MEHvYxGIwoLC92Sk5OjNBpNjEajifnpp5+8AOCJJ54I3r59u3d0dLTm6aef7nXhwgWylPSOiYnRfPvtt00KDK5Zs8YnJSUlaty4cRFhYWFxN998c6il59JS6e/g4OD42bNnB2s0mpj3338/YPXq1b4DBw6M1Wg0MatXr/a3HHvBggVBM2fODAWAgoICtyFDhkSr1WrNfffdd7GMudFoxKxZs0IiIyNj1Wq15t133w2w70+TMdZVOFF0MY1GU2cwGFBWVqbo16+ffuPGjUV5eXn5q1atOvDggw+GAsDzzz9flpKSUlVQUJD31FNPnXzppZd6ERGKioryVqxYceCuu+4Ku3DhQpPqqtnZ2V4LFy48XFxcnFNSUqJaunRpQMPS33l5eflJSUkXnn322d6WfYKCgvR5eXn5t9xyy/l77rkn7JtvvinOycnJP3nypLK5+OfMmRN6xx13nCoqKsrr27dvvWX70qVL/bOzsz3y8/Nzf/nll6Inn3wy5NChQ80egzHmXDhRSKiuro5uvvnmMLVarZk6dWr4/v373Ztrt3nzZu8ZM2acAYDExMTafv361WVnZzdpGx8fX63RaOoUCgVuuOGGsxs3bvRet26dl6X0d3R0tOaTTz4JOnz4sJtln5kzZ54DgN27d7uHhITo4uPjdTKZDNOnTz/TXCw7d+70vvPOO88CwKxZsy622bhxo88NN9xwVqFQoH///vrhw4dXbdq0qUmhPsaY8+lWYxSOIC8vz00ulyM4OFj/yCOP9OvVq1f9559/ftBoNMLDw6NTYyhE1OR7a6W/AcDHx6fdy6XKZDLXLRDGGGuCexRd6OjRo4o777xzwO23335SJpOhvLxc3rdv33q5XI6FCxcGWcYU/Pz8DA3X1x41alTVxx9/HAgAe/fuVR07dsxt8ODBtY2Pn52d7VVQUOBmMBiwevXqwDFjxlS2VPq78b5DhgypLSsrc8vNzVUBwCeffNLsrKukpKSqd999NxAA3n333SDL9ksuuaRy9erVgXq9HkePHlX8+eef3mPGjOFqrYy5AE4UdqbT6WSW6bHjx49XT5gwoeLVV189CgAPPPDAyZUrVwZFRUVpCgoK3D08PIwAMGzYsBq5XC6ioqI0Tz/9dK9HH330pNFoJLVarZk2bVr44sWLSzw8PJp8qo+Li6u+++67Q8PDw+NCQ0N1M2bMON9S6e/G+3p6eoo333zz0BVXXBGh0WhievTo0Wyt74ULFx7+3//+10utVmvKysoujkHMmDHjfGxsbE1MTEzsuHHj1E8//fSR0NDQ1uuFM8YcHpcZdxFr1qzxmT9/fu/ffvutWOpYGGOdx2XGGWOMOQ1OFC7iiiuuqOTeBGPMHjhRMMYYs4oTBWOMMas4UTDGGLOKE0U35QgVahkDgBUrVvjt2LGj2aoEzmzz5s0eq1at8pM6DlvgRGFnRJR85513hli+f/LJJ3s/9NBD/aztY296vR6zZs0KTU1NtfsNcSUlJcpJkyYNau6xYcOGRW3YsMEuZT4alklvK3vGYw8NizV2pYceeqjfk08+2bv1lq3Lzs5Wvffeez0SEhIu3kAaHBwcf+zYMcXp06flmZmZPS3brb2WbO2dd94JjI6O1li+ZDJZ8ubNmz2s7dPwNVdRUSF7+OGH+48ePdolbjrtViU8tFqtTcuMa7XaVsuMu7m5ie+++y7g2LFjx/v27esQN6Dl5uaqHnvsseMJCQk6e58rLCysfu3atQfsfR7mnPbu3eu+fPnykuZK3J85c0b+3nvv9crIyDgFdO1rafbs2Wdnz559FgD+/PNPj+uuuy585MiRNW3df/v27R5vvPFGaXBwsEP8zXcW9yjsTC6Xi5kzZ5564YUXmnwCKywsdBsxYoRarVZrUlNT1fv27XNr3Ka8vFxmKTGuVqs1H374oT8ALF68OFCtVmsiIyNjZ8+eHWxp7+npmThr1qyQiIiI2JEjR6p/++03z2HDhkWFhITEL1++3A8ASktL3V5++eUmCxHp9XrcddddF0uFP//8870A4Ouvv/aJiYnRmIsXhtXU1BBg+uQ3d+7c4OjoaE1cXFzMpk2bPEePHh3Zv3//uJdffrmn5TlGRkbGAkBVVRVdccUVgwYNGhQ7ceLE8Nra2ovFqaZPnx4aFxcXExEREfvggw822+N67rnneoWHh8eq1WrNFVdcMQgAfvvtN88hQ4ZEx8TEaBITE6P37NnTpDxJS206G8/mzZs9EhISotVqtWbixInhp06dkjdu8/777wdERkbGRkVFaVJSUqIAU0/gH//4R/iYMWMiBwwYEHf33Xdf7HG2dN7169d7JiYmRkdFRWni4+Njzp0797e/3U8++cRvyJAh0ceOHVM0d87G/vvf//aOi4uLUavVGst5CgsL3QYNGhR74403DoiIiIgdNWpUZFVVVZMqxW35GTT3u2rI0huaPn16eZ8+fQzjx4+PWLNmzd/K5z/88MMhpaWlqujoaM2sWbNCGr6WFixYEHTppZeGjxw5MjI4ODj+hRde6KnVanvHxMRoEhISok+cOCHvTHwNLV26NPDqq68+19xjLZXmz8nJcX/77bd7AqZLa4MHD46OiYnRjBw5Ul1aWqoAgKysLG9LjyUmJkbT+HfqSBw2MFfy73//++QXX3wReObMmb+9kcyePTt0+vTpZ4qKivKmTZt2Zvbs2f0b75uRkdHX19fXUFRUlFdUVJSXnp5eWVJSotRqtcHr1q0rysvLy921a5fXsmXL/AGgpqZGNmHChIri4uJcLy8vw7x584I3btxY9NlnnxU/++yzwY2P39D8+fN7Hj582C0vLy+3qKgo74477jhz4cIFmjVr1sBVq1btLyoqytPr9XjllVcuXg4IDQ2tKygoyBs+fHjVP//5z7Bvv/12/9atWwteeumlJm+ur776ai8PDw/jgQMHcp977rmjeXl5XpbHXnvttbKcnJz8goKC3N9//91n69atTbr5CxYs6JOTk5NXVFSU9+GHHx4CgISEhNpt27YV5Ofn5z311FNljz76aEjj/Vpq09l4brvttoEvvPDCkaKiorzY2Niaxx57rMlzzszM7Pvjjz8WFRYW5q1du/bifS55eXmeX3311YH8/Pzcb775JqC4uFjZ0nlra2tp+vTp4W+88cbhwsLCvPXr1xd6e3tfLOa4dOlS/1deeaXPTz/9tK9v3776ls5p8cUXX/gWFxe77927Nz8/Pz9v9+7dnt9//703ABw+fNj9vvvuO1lcXJzr5+dnWLp0qdV1RVr6GTT3u2qv+fPnH+nfv7+uoKAgb/HixUcaP15UVOSRlZW1f9u2bfkvvvhisKenpzE/Pz8vJSWlevHixUG2iu/rr78OmDlzZpNqyhcuXKC2lOafOHFi1e7duwvy8/Pzrr/++rPPPPNMH/Pz67NgwYJDBQUFeVu2bClo+Dt1NJwoukBgYKBx6tSpZzIzM3s13L5r1y6vu+666yxg6uru2LHDu/G+GzZs8H3wwQdPWr7v2bOnYdOmTV4jRoyo7Nevn16pVGLatGln169f7w0ASqVSXH/99RUAEBsbWzN69OhKlUolhg0bVlNWVtakx9LQr7/+6jtr1qzTSqXp9d67d2/Dnj173ENCQnSDBw/WAcBtt912ZtOmTRc/+d1www3nASA+Pv5CUlJSdUBAgLFfv356Nzc34+nTp/+WGDdt2nSxXPrw4cNr1Gr1BctjH330UaB5ASfNvn373Pfs2dNkcDMqKqrmmmuuGbhw4cJApVIpAODs2bPyyy+/PDwyMjL20Ucf7V9UVNRkv5badCaeM2fOyCsrK+Xp6elVAHDnnXee2bJlS5PfX0pKStX06dPD5s+f30Ov/+sqxOjRoyuCgoIMnp6eIiIionb//v2qls67d+9e9169etWPHTv2AmB6PVl+R7///rvP/Pnz+/z000/7evbsabB2Tou1a9f6btiwwVej0WhiY2M1+/fvdy8oKHAHgODgYJ3lEktiYuKFkpKSJj20tvwMmvtd2drIkSMrLa83b29vw9SpU88DptdiSUmJyhbx/frrr14eHh7GoUOHNinC2dbS/AcPHnQbM2ZMpFqt1ixYsKBPQUGBBwCMGDGi6pFHHun/3HPP9Tp9+rTc8jt1RJwoush//vOfEytWrOhRXV1t15+5QqEQMpnpFDKZDCqVSgCAXC6HwWCwehmhI9zd3YXlXG5ubhf/4GQyGerr69t0voKCAre33nqr9/r164uKiory0tLSymtra5v8nH777bd9c+fOPbVz507PxMTEmPr6ejz22GPBY8eOrdy3b1/ut99+W1xXV9dkv7a06Ug8bbFixYrDzz333NHS0lK35ORkzfHjx+UA/vazksvlor6+njpy3gEDBuiqq6vlOTk5FxNZS+e0EELggQceOFZQUJBXUFCQd/jw4ZwHH3zwdHNx6fX6Dr1mmvtdNaRQKITR+NcHaJ1O1+6fb+PXW8PXYmtxtxafxfLlywOvvfbaTi1JfM8994TOmTPnZFFRUd5bb711yPJcX3jhheNLliw5VFNTIxszZkz0rl27HHbmFyeKLtK7d2/DlClTzq1YsaKHZVtiYmL1kiVLAgDTmENKSkpV4/3Gjh1b8frrr1/siZw6dUo+ZsyY6q1bt/ocO3ZModfr8dlnnwWOGzeuyb7tNWHChIrFixf3sPzRnDhxQp6QkFBbVlbmZilTvnTp0qAxY8ZUduT4o0ePrlq+fHkgAGzbts29qKjIEwDOnTsn9/DwMAYGBhpKS0sV69atazKl0GAwYP/+/W5TpkypfPvtt8uqqqrk5eXl8oqKCnlISEgdACxevLhH4/0AoKU2nYknKCjI4Ovra1i7dq03ALz33ntBqampTX4Hubm5qrS0tOo33njjaEBAgP7AgQMt9upaOu/gwYNrT548qVy/fr0lPpnldxQSElL32Wef7b/99tsHbt++3b0t55w8eXLFsmXLeliWxD148KCyrKys3RNbWvoZtPS7arhveHh4XW5urqfBYEBxcbFy7969Xo2P7+fnZ+jMB6vOxAeYXnPffvttwMyZM5tNFG0tzV9ZWSkPDQ2tB4APP/zwYmn+3Nxc1bBhw2qef/7544MHD65umOwdTbea9SS1J5544vhHH3108fr+okWLDs+cOTPs//7v//oEBQXply5dWtJ4nxdffPHY7bffHhoZGRkrk8nE448/fvTWW289/9RTT5WNHTtWLYSgSy+99Pwtt9xyvrPxPfjgg6eKiopU0dHRsQqFQtx6662nHn/88VOLFi0qmTp1arjBYEBCQsKFRx555FRHjv/II4+cvPHGGwcOGjQoNiIiolaj0VQDQGpqak1cXNyF8PDwuL59+9YlJyc3ecPV6/V08803D6ysrJQLIeiOO+442aNHD8Njjz12/I477hj40ksv9Zs4ceL55s7bUpvOxAMAH3zwwcHZs2cPuO+++2ShoaG6lStXljTzMw0pKSlRCSFo9OjRFSNGjKjZvn17s1NwWzqvu7u7WL58+f777rsvtLa2Vubu7m7csGFDkWW/xMTE2qVLlx6YNm1a+DfffFPc3Dkbnufaa6+tyM3NdR86dGg0AHh6ehqXL19+UKFQtPsSUXM/g5Z+Vw33mzhxYtXbb7+ti4iIsPzsLzQ+dp8+fQzJyclVkZGRsWlpaeUPPfTQycZt7BUfAHz//fc+ffv2rdNoNHXNHbthaX4PDw/j8OHDqxquI2PxxBNPHL3pppvC/fz89KNHj648fPiwCgBefvnlXps3b/YlIhEVFVVz/fXXl7f3+XUVLjPOGGMOiMuMM8YYcxqcKBhjjFnFiYIxxphVrp4ojEaj0eZTQhljzJ7M71sOcwOeqyeKnFOnTvlxsmCMOQuj0UinTp3yA5AjdSwWLj09Vq/X33H8+PElx48fj4PrJ0XGmGswAsjR6/V3SB2IhUtPj2WMMdZ5/CmbMcaYVZwoGGOMWcWJgjHGmFWcKBhjjFnFiYIxxphV/w9qwTQWMSIKKAAAAABJRU5ErkJggg==\n",
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\n",
       "text/plain": [
-       "<Figure size 720x504 with 1 Axes>"
+       "<Figure size 1000x700 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -1085,36 +1474,46 @@
     }
    ],
    "source": [
-    "cant_snacks = resultados_df.groupby(\"texto_q64\")[\"record\"].count()\n",
-    "labels_snacks = list(cant_snacks.index)\n",
-    "fig = plt.figure(figsize =(10, 7))\n",
-    "plt.pie(cant_snacks, autopct='%1.2f%%', startangle=90, pctdistance=1.15)\n",
-    "plt.legend(labels_snacks, loc=\"center\", bbox_to_anchor=(0.1, 0.5, 0.85, -1.3))\n",
-    "plt.title(\"Comieron snacks\")\n",
+    "# extraemos los valores del índice y lo convertimos a una lista.\n",
+    "labels_snacks = list(resultados_snacks_df.index)\n",
+    "\n",
+    "fig_snacks = resultados_snacks_df.plot(kind='pie', ylabel=\"\",labels=None,  figsize=(10,7), title=\"Comieron snacks\",\n",
+    "                          autopct='%1.2f%%',startangle=90, pctdistance=1.15)\n",
+    "plt.legend(labels_snacks, bbox_to_anchor=(0.1, 0.5, 0.85, -0.5))\n",
     "plt.show()"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "f8ca4a63",
+   "metadata": {},
+   "source": [
+    "**Observación:**\n",
+    "\n",
+    "Agregamos los parámetros *startangle* y *pctdistance* para que se pueda visualizar mejor:\n",
+    "* **startangle**: recibe el grado de comienzo de la primer sección. Como le pusimos el valor 90, la primer sección comenzará desde el ángulo 90.\n",
+    "* **pctdistance**: La distancia entre el centro de cada porción del gráfico de torta y el comienzo del texto que generamos con *autopct*."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e0fd618e",
+   "metadata": {},
+   "source": [
+    "Por último, realizamos lo mismo con el gráfico de frutas:"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 8,
-   "id": "2974560b",
+   "execution_count": 20,
+   "id": "85538923",
    "metadata": {},
    "outputs": [
     {
      "data": {
+      "image/png": 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\n",
       "text/plain": [
-       "Text(0.5, 1.0, 'Comieron frutas')"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1080x720 with 2 Axes>"
+       "<Figure size 1000x700 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -1122,26 +1521,14 @@
     }
    ],
    "source": [
-    "#Realizamos el grafico de snacks\n",
-    "\n",
-    "cant_snacks = resultados_df.groupby(\"texto_q64\")[\"record\"].count()\n",
-    "labels_snacks = list(cant_snacks.index)\n",
+    "resultados_frutas_df = resultados_df.groupby(\"texto_q61\")[\"record\"].count()\n",
     "\n",
-    "fig, (axs_1, axs_2) = plt.subplots(1, 2, figsize=(15, 10))\n",
-    "axs_1.pie(cant_snacks, autopct='%1.2f%%',\n",
-    "        startangle=90, pctdistance=1.15)\n",
-    "axs_1.legend(labels_snacks, loc=\"center\", bbox_to_anchor=(0.1, 0.5, 0.85, -1.3))\n",
-    "axs_1.set_title(\"Comieron snacks\")\n",
+    "labels_frutas = list(resultados_frutas_df.index)\n",
     "\n",
-    "#Realizamos el grafico de frutas al lado del de snacks\n",
-    "\n",
-    "cant_frutas = resultados_df.groupby(\"texto_q61\")[\"record\"].count()\n",
-    "labels_frutas = list(cant_frutas.index)\n",
-    "\n",
-    "axs_2.pie(cant_frutas, autopct='%1.2f%%',\n",
-    "        startangle=90, pctdistance=1.15)\n",
-    "axs_2.legend(labels_frutas, loc=\"center\", bbox_to_anchor=(0.1, 0.5, 0.85, -1.3))\n",
-    "axs_2.set_title(\"Comieron frutas\")\n"
+    "fig_frutas = resultados_frutas_df.plot(kind='pie', ylabel=\"\",labels=None,  figsize=(10,7), title=\"Comieron frutas\",\n",
+    "                          autopct='%1.2f%%',startangle=90, pctdistance=1.15)\n",
+    "plt.legend(labels_frutas, bbox_to_anchor=(0.1, 0.5, 0.85, -0.5))\n",
+    "plt.show()"
    ]
   },
   {
@@ -1149,31 +1536,31 @@
    "id": "db003e63",
    "metadata": {},
    "source": [
-    "## 2° gráfico: frecuencia con la que pasaron hambre los ultimos 30 días\n",
+    "## 2° gráfico: frecuencia con la que tuvieron una mala alimentación en los últimos 30 días.\n",
     "\n",
-    "Se necesitan los datos que responden al código de pregunta q6(Frecuencia con la que pasaron hambre)."
+    "Se necesitan los datos que responden al código de pregunta q6 (Frecuencia con la que tuvieron una mala alimentación). Al igual que como hicimos con las preguntas anteriores, nos aseguramos de que sea la pregunta correcta en la tabla:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 21,
    "id": "fb2b3d56",
    "metadata": {},
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Pregunta q6: \n",
-      " 28    Durante los últimos 30 días ¿con qué frecuencia te quedaste con hambre porque no había suficiente comida en tu hogar?\n"
-     ]
+     "data": {
+      "text/plain": [
+       "'Durante los últimos 30 días ¿con qué frecuencia te quedaste con hambre porque no había suficiente comida en tu hogar?'"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "#Vemos el contenido de la pregunta de código q6\n",
-    "\n",
-    "pregunta_snacks = codigos_preguntas[codigos_preguntas[\"Codigo variable estandar\"] == \"q6\"]\n",
-    "print(\"Pregunta q6: \\n\", pregunta_snacks[\"Pregunta\"].to_string())"
+    "pregunta_mala_alimentacion = codigos_preguntas.at[\"q6\",\"pregunta\"]\n",
+    "pregunta_mala_alimentacion"
    ]
   },
   {
@@ -1181,20 +1568,35 @@
    "id": "ca89bc46",
    "metadata": {},
    "source": [
-    "Para lograr el gráfico, se debe agrupar los resultados por frecuencia del suceso, para después contar la cantidad de gente que pertenece a cada grupo utilizando **size()**. "
+    "Para lograr el gráfico, se debe agrupar los resultados por frecuencia del suceso (función groupby() ya vista), para después contar la cantidad de gente que pertenece a cada grupo utilizando **count()**. En este caso, agrupamos primero por el código de respuesta y luego por el texto de la respuesta, de forma de que queden ordenados (Nunca -> Rara vez -> Algunas veces, y así) para que se visualicen con orden en el gráfico."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 22,
    "id": "ec66109c",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "q6   texto_q6     \n",
+       "1.0  Nunca            38257\n",
+       "2.0  Rara vez         11820\n",
+       "3.0  Algunas veces     5342\n",
+       "4.0  Casi siempre       749\n",
+       "5.0  Siempre            314\n",
+       "Name: record, dtype: int64"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "frecuencia_hambre = resultados_df.sort_values([\"q6\"]).groupby([\"q6\",\"texto_q6\"])[\"record\"].size()\n",
-    "\n",
-    "#Nos quedamos con solo la columna de texto_q6 del multi-índice.\n",
-    "frecuencia_hambre = frecuencia_hambre.reset_index(level=0, drop=True)"
+    "frecuencia_mala_alimentacion_df = resultados_df.sort_values([\"q6\"]).groupby([\"q6\",\"texto_q6\"])[\"record\"].count()\n",
+    "frecuencia_mala_alimentacion_df"
    ]
   },
   {
@@ -1202,12 +1604,12 @@
    "id": "b647b243",
    "metadata": {},
    "source": [
-    "Veamos como quedó la tabla resultante."
+    "Como agrupamos por dos criterios (y eso genera un multi-índice), nos desharemos del multi-índice con la función **reset_index**. Si le índicamos el valor *True* al parámetro drop, se deshará del nivel de multi-índice pasado que en nuestro caso es el 0 (q64) dejando así, solo la columna texto_q64."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 23,
    "id": "5cadca88",
    "metadata": {},
    "outputs": [
@@ -1223,13 +1625,14 @@
        "Name: record, dtype: int64"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "frecuencia_hambre"
+    "frecuencia_mala_alimentacion_df = frecuencia_mala_alimentacion_df.reset_index(level=0, drop=True)\n",
+    "frecuencia_mala_alimentacion_df"
    ]
   },
   {
@@ -1242,26 +1645,68 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 24,
    "id": "863530c9",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
       "text/plain": [
-       "<Figure size 1080x720 with 1 Axes>"
+       "<AxesSubplot:xlabel='texto_q6'>"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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n3Y4cOWJ0SwAAoIJUK+8TnJ2dFRgYKElq27attm/frpkzZ6p3794qKipSbm6uzdWcnJwc+fr6SpJ8fX3LzIIqnX31x5r/f0ZWTk6OPDw85ObmJicnJzk5OV2ypvQcf8bFxUUuLi7lfckAAKAK+tvr5JSUlKiwsFBt27ZV9erVlZSUZD2WmZmpw4cPKywsTJIUFhamPXv22MyCSkxMlIeHh4KCgqw1fzxHaU3pOZydndW2bVubmpKSEiUlJVlrAAAAynUlZ/z48erevbsaNGig06dPa/HixUpOTta6devk6empgQMHKi4uTl5eXvLw8NCIESMUFhamjh07SpK6deumoKAg9evXT9OmTVN2drYmTJigmJgY6xWWoUOHavbs2RozZoyefPJJrV+/XsuWLdOaNf+bpRQXF6eoqCi1a9dOHTp00IwZM1RQUKDo6Ohr+NYAAICqrFwh5/jx4+rfv7+OHTsmT09PhYSEaN26dbr77rslSdOnT5ejo6N69eqlwsJCRURE6M0337Q+38nJSatXr9awYcMUFhammjVrKioqSlOmTLHWBAQEaM2aNYqNjdXMmTNVv359zZ8/XxEREdaa3r1768SJE4qPj1d2drZatWqlhISEMoORAQCA/frb6+RUZayTc+VYJwcAcL2o8HVyAAAArmeEHAAAYEqEHAAAYEqEHAAAYEqEHAAAYEqEHAAAYEqEHAAAYEqEHAAAYEqEHAAAYEqEHAAAYEqEHAAAYEqEHAAAYEqEHAAAYEqEHAAAYEqEHAAAYEqEHAAAYEqEHAAAYEqEHAAAYEqEHAAAYEqEHAAAYEqEHAAAYEqEHAAAYEqEHAAAYEqEHAAAYEqEHAAAYEqEHAAAYEqEHAAAYEqEHAAAYEqEHAAAYEqEHAAAYEqEHAAAYEqEHAAAYEqEHAAAYEqEHAAAYEqEHAAAYErlCjlTp05V+/btVatWLXl7e6tnz57KzMy0qencubMcHBxstqFDh9rUHD58WJGRkapRo4a8vb01evRoXbx40aYmOTlZbdq0kYuLiwIDA7VgwYIy/cyZM0eNGjWSq6urQkNDtW3btvK8HAAAYGLlCjkbN25UTEyMvv32WyUmJurChQvq1q2bCgoKbOoGDx6sY8eOWbdp06ZZjxUXFysyMlJFRUXasmWLPvjgAy1YsEDx8fHWmqysLEVGRqpLly5KS0vTqFGjNGjQIK1bt85as3TpUsXFxWnixInauXOnWrZsqYiICB0/fvxq3wsAAGAiDhaLxXK1Tz5x4oS8vb21ceNGderUSdLvV3JatWqlGTNmXPI5X3zxhe69914dPXpUPj4+kqR58+Zp7NixOnHihJydnTV27FitWbNGGRkZ1uf16dNHubm5SkhIkCSFhoaqffv2mj17tiSppKRE/v7+GjFihMaNG3dF/efn58vT01N5eXny8PC42rfhshqNW1Mh561sh16ONLoFAAAkXfnv7781JicvL0+S5OXlZbN/0aJFqlu3rlq0aKHx48fr7Nmz1mMpKSkKDg62BhxJioiIUH5+vvbu3WutCQ8PtzlnRESEUlJSJElFRUVKTU21qXF0dFR4eLi15lIKCwuVn59vswEAAHOqdrVPLCkp0ahRo3TbbbepRYsW1v2PP/64GjZsKD8/P6Wnp2vs2LHKzMzUJ598IknKzs62CTiSrI+zs7MvW5Ofn69z587p1KlTKi4uvmTN/v37/7TnqVOnavLkyVf7kgEAQBVy1SEnJiZGGRkZ2rx5s83+IUOGWP8cHBysevXqqWvXrjp48KCaNGly9Z1eA+PHj1dcXJz1cX5+vvz9/Q3sCAAAVJSrCjnDhw/X6tWrtWnTJtWvX/+ytaGhoZKkAwcOqEmTJvL19S0zCyonJ0eS5Ovra/1n6b4/1nh4eMjNzU1OTk5ycnK6ZE3pOS7FxcVFLi4uV/YiAQBAlVauMTkWi0XDhw/Xp59+qvXr1ysgIOAvn5OWliZJqlevniQpLCxMe/bssZkFlZiYKA8PDwUFBVlrkpKSbM6TmJiosLAwSZKzs7Patm1rU1NSUqKkpCRrDQAAsG/lupITExOjxYsX67PPPlOtWrWsY2g8PT3l5uamgwcPavHixerRo4fq1Kmj9PR0xcbGqlOnTgoJCZEkdevWTUFBQerXr5+mTZum7OxsTZgwQTExMdarLEOHDtXs2bM1ZswYPfnkk1q/fr2WLVumNWv+N1MpLi5OUVFRateunTp06KAZM2aooKBA0dHR1+q9AQAAVVi5Qs7cuXMl/T5N/I/ef/99DRgwQM7Ozvrqq6+sgcPf31+9evXShAkTrLVOTk5avXq1hg0bprCwMNWsWVNRUVGaMmWKtSYgIEBr1qxRbGysZs6cqfr162v+/PmKiIiw1vTu3VsnTpxQfHy8srOz1apVKyUkJJQZjAwAAOzT31onp6pjnZwrxzo5AIDrRaWskwMAAHC9IuQAAABTIuQAAABTIuQAAABTIuQAAABTIuQAAABTIuQAAABTIuQAAABTIuQAAABTIuQAAABTIuQAAABTIuQAAABTIuQAAABTIuQAAABTIuQAAABTIuQAAABTIuQAAABTIuQAAABTIuQAAABTIuQAAABTIuQAAABTIuQAAABTIuQAAABTIuQAAABTIuQAAABTIuQAAABTIuQAAABTIuQAAABTIuQAAABTIuQAAABTIuQAAABTIuQAAABTIuQAAABTIuQAAABTIuQAAABTKlfImTp1qtq3b69atWrJ29tbPXv2VGZmpk3N+fPnFRMTozp16sjd3V29evVSTk6OTc3hw4cVGRmpGjVqyNvbW6NHj9bFixdtapKTk9WmTRu5uLgoMDBQCxYsKNPPnDlz1KhRI7m6uio0NFTbtm0rz8sBAAAmVq6Qs3HjRsXExOjbb79VYmKiLly4oG7duqmgoMBaExsbq1WrVmn58uXauHGjjh49qoceesh6vLi4WJGRkSoqKtKWLVv0wQcfaMGCBYqPj7fWZGVlKTIyUl26dFFaWppGjRqlQYMGad26ddaapUuXKi4uThMnTtTOnTvVsmVLRURE6Pjx43/n/QAAACbhYLFYLFf75BMnTsjb21sbN25Up06dlJeXpxtvvFGLFy/Www8/LEnav3+/mjdvrpSUFHXs2FFffPGF7r33Xh09elQ+Pj6SpHnz5mns2LE6ceKEnJ2dNXbsWK1Zs0YZGRnWn9WnTx/l5uYqISFBkhQaGqr27dtr9uzZkqSSkhL5+/trxIgRGjdu3BX1n5+fL09PT+Xl5cnDw+Nq34bLajRuTYWct7IdejnS6BYAAJB05b+//9aYnLy8PEmSl5eXJCk1NVUXLlxQeHi4taZZs2Zq0KCBUlJSJEkpKSkKDg62BhxJioiIUH5+vvbu3Wut+eM5SmtKz1FUVKTU1FSbGkdHR4WHh1trLqWwsFD5+fk2GwAAMKerDjklJSUaNWqUbrvtNrVo0UKSlJ2dLWdnZ9WuXdum1sfHR9nZ2daaPwac0uOlxy5Xk5+fr3PnzunXX39VcXHxJWtKz3EpU6dOlaenp3Xz9/cv/wsHAABVwlWHnJiYGGVkZGjJkiXXsp8KNX78eOXl5Vm3I0eOGN0SAACoINWu5knDhw/X6tWrtWnTJtWvX9+639fXV0VFRcrNzbW5mpOTkyNfX19rzf8/C6p09tUfa/7/GVk5OTny8PCQm5ubnJyc5OTkdMma0nNciouLi1xcXMr/ggEAQJVTris5FotFw4cP16effqr169crICDA5njbtm1VvXp1JSUlWfdlZmbq8OHDCgsLkySFhYVpz549NrOgEhMT5eHhoaCgIGvNH89RWlN6DmdnZ7Vt29ampqSkRElJSdYaAABg38p1JScmJkaLFy/WZ599plq1alnHv3h6esrNzU2enp4aOHCg4uLi5OXlJQ8PD40YMUJhYWHq2LGjJKlbt24KCgpSv379NG3aNGVnZ2vChAmKiYmxXmUZOnSoZs+erTFjxujJJ5/U+vXrtWzZMq1Z87+ZSnFxcYqKilK7du3UoUMHzZgxQwUFBYqOjr5W7w0AAKjCyhVy5s6dK0nq3Lmzzf73339fAwYMkCRNnz5djo6O6tWrlwoLCxUREaE333zTWuvk5KTVq1dr2LBhCgsLU82aNRUVFaUpU6ZYawICArRmzRrFxsZq5syZql+/vubPn6+IiAhrTe/evXXixAnFx8crOztbrVq1UkJCQpnByAAAwD79rXVyqjrWyblyrJMDALheVMo6OQAAANcrQg4AADAlQg4AADAlQg4AADAlQg4AADAlQg4AADAlQg4AADAlQg4AADAlQg4AADAlQg4AADAlQg4AADAlQg4AADAlQg4AADAlQg4AADAlQg4AADAlQg4AADAlQg4AADAlQg4AADAlQg4AADAlQg4AADAlQg4AADAlQg4AADAlQg4AADAlQg4AADAlQg4AADAlQg4AADAlQg4AADAlQg4AADAlQg4AADAlQg4AADAlQg4AADAlQg4AADAlQg4AADAlQg4AADAlQg4AADClcoecTZs26b777pOfn58cHBy0cuVKm+MDBgyQg4ODzXbPPffY1Jw8eVJ9+/aVh4eHateurYEDB+rMmTM2Nenp6brjjjvk6uoqf39/TZs2rUwvy5cvV7NmzeTq6qrg4GCtXbu2vC8HAACYVLlDTkFBgVq2bKk5c+b8ac0999yjY8eOWbePPvrI5njfvn21d+9eJSYmavXq1dq0aZOGDBliPZ6fn69u3bqpYcOGSk1N1auvvqpJkybp7bffttZs2bJFjz32mAYOHKhdu3apZ8+e6tmzpzIyMsr7kgAAgAk5WCwWy1U/2cFBn376qXr27GndN2DAAOXm5pa5wlNq3759CgoK0vbt29WuXTtJUkJCgnr06KGff/5Zfn5+mjt3rp577jllZ2fL2dlZkjRu3DitXLlS+/fvlyT17t1bBQUFWr16tfXcHTt2VKtWrTRv3rwr6j8/P1+enp7Ky8uTh4fHVbwDf63RuDUVct7KdujlSKNbAABA0pX//q6QMTnJycny9vZW06ZNNWzYMP3222/WYykpKapdu7Y14EhSeHi4HB0dtXXrVmtNp06drAFHkiIiIpSZmalTp05Za8LDw21+bkREhFJSUv60r8LCQuXn59tsAADAnK55yLnnnnu0cOFCJSUl6ZVXXtHGjRvVvXt3FRcXS5Kys7Pl7e1t85xq1arJy8tL2dnZ1hofHx+bmtLHf1VTevxSpk6dKk9PT+vm7+//914sAAC4blW71ifs06eP9c/BwcEKCQlRkyZNlJycrK5du17rH1cu48ePV1xcnPVxfn4+QQcAAJOq8CnkjRs3Vt26dXXgwAFJkq+vr44fP25Tc/HiRZ08eVK+vr7WmpycHJua0sd/VVN6/FJcXFzk4eFhswEAAHOq8JDz888/67ffflO9evUkSWFhYcrNzVVqaqq1Zv369SopKVFoaKi1ZtOmTbpw4YK1JjExUU2bNtUNN9xgrUlKSrL5WYmJiQoLC6volwQAAKqAcoecM2fOKC0tTWlpaZKkrKwspaWl6fDhwzpz5oxGjx6tb7/9VocOHVJSUpIeeOABBQYGKiIiQpLUvHlz3XPPPRo8eLC2bdumb775RsOHD1efPn3k5+cnSXr88cfl7OysgQMHau/evVq6dKlmzpxp81XTyJEjlZCQoNdee0379+/XpEmTtGPHDg0fPvwavC0AAKCqK3fI2bFjh1q3bq3WrVtLkuLi4tS6dWvFx8fLyclJ6enpuv/++3XLLbdo4MCBatu2rb7++mu5uLhYz7Fo0SI1a9ZMXbt2VY8ePXT77bfbrIHj6empL7/8UllZWWrbtq3++c9/Kj4+3mYtnVtvvVWLFy/W22+/rZYtW2rFihVauXKlWrRo8XfeDwAAYBJ/a52cqo51cq4c6+QAAK4Xhq6TAwAAYDRCDgAAMCVCDgAAMCVCDgAAMCVCDgAAMCVCDgAAMCVCDgAAMCVCDgAAMCVCDgAAMCVCDgAAMCVCDgAAMCVCDgAAMCVCDgAAMCVCDgAAMCVCDgAAMCVCDgAAMCVCDgAAMCVCDgAAMCVCDgAAMCVCDgAAMCVCDgAAMCVCDgAAMKVqRjcAVKZG49YY3cLfdujlSKNbAIAqgSs5AADAlAg5AADAlAg5AADAlAg5AADAlAg5AADAlAg5AADAlAg5AADAlAg5AADAlAg5AADAlAg5AADAlAg5AADAlAg5AADAlModcjZt2qT77rtPfn5+cnBw0MqVK22OWywWxcfHq169enJzc1N4eLh++OEHm5qTJ0+qb9++8vDwUO3atTVw4ECdOXPGpiY9PV133HGHXF1d5e/vr2nTppXpZfny5WrWrJlcXV0VHBystWvXlvflAAAAkyp3yCkoKFDLli01Z86cSx6fNm2aZs2apXnz5mnr1q2qWbOmIiIidP78eWtN3759tXfvXiUmJmr16tXatGmThgwZYj2en5+vbt26qWHDhkpNTdWrr76qSZMm6e2337bWbNmyRY899pgGDhyoXbt2qWfPnurZs6cyMjLK+5IAAIAJOVgsFstVP9nBQZ9++ql69uwp6ferOH5+fvrnP/+pZ599VpKUl5cnHx8fLViwQH369NG+ffsUFBSk7du3q127dpKkhIQE9ejRQz///LP8/Pw0d+5cPffcc8rOzpazs7Mkady4cVq5cqX2798vSerdu7cKCgq0evVqaz8dO3ZUq1atNG/evCvqPz8/X56ensrLy5OHh8fVvg2X1Wjcmgo5b2U79HKk0S1cE2b4PMzyWQDA1brS39/XdExOVlaWsrOzFR4ebt3n6emp0NBQpaSkSJJSUlJUu3Zta8CRpPDwcDk6Omrr1q3Wmk6dOlkDjiRFREQoMzNTp06dstb88eeU1pT+nEspLCxUfn6+zQYAAMzpmoac7OxsSZKPj4/Nfh8fH+ux7OxseXt72xyvVq2avLy8bGoudY4//ow/qyk9filTp06Vp6endfP39y/vSwQAAFWEXc2uGj9+vPLy8qzbkSNHjG4JAABUkGsacnx9fSVJOTk5NvtzcnKsx3x9fXX8+HGb4xcvXtTJkydtai51jj/+jD+rKT1+KS4uLvLw8LDZAACAOV3TkBMQECBfX18lJSVZ9+Xn52vr1q0KCwuTJIWFhSk3N1epqanWmvXr16ukpEShoaHWmk2bNunChQvWmsTERDVt2lQ33HCDteaPP6e0pvTnAAAA+1bukHPmzBmlpaUpLS1N0u+DjdPS0nT48GE5ODho1KhRevHFF/X5559rz5496t+/v/z8/KwzsJo3b6577rlHgwcP1rZt2/TNN99o+PDh6tOnj/z8/CRJjz/+uJydnTVw4EDt3btXS5cu1cyZMxUXF2ftY+TIkUpISNBrr72m/fv3a9KkSdqxY4eGDx/+998VAABQ5VUr7xN27NihLl26WB+XBo+oqCgtWLBAY8aMUUFBgYYMGaLc3FzdfvvtSkhIkKurq/U5ixYt0vDhw9W1a1c5OjqqV69emjVrlvW4p6envvzyS8XExKht27aqW7eu4uPjbdbSufXWW7V48WJNmDBB//rXv3TzzTdr5cqVatGixVW9EQAAwFz+1jo5VR3r5Fw5s6zNYobPwyyfBQBcLUPWyQEAALheEHIAAIApEXIAAIApEXIAAIApEXIAAIApEXIAAIApEXIAAIApEXIAAIApEXIAAIApEXIAAIApEXIAAIApEXIAAIApEXIAAIApEXIAAIApEXIAAIApEXIAAIApEXIAAIApEXIAAIApEXIAAIApEXIAAIApEXIAAIApEXIAAIApEXIAAIApEXIAAIApEXIAAIApEXIAAIApEXIAAIApEXIAAIApEXIAAIApEXIAAIApEXIAAIApEXIAAIApEXIAAIApEXIAAIApEXIAAIApXfOQM2nSJDk4ONhszZo1sx4/f/68YmJiVKdOHbm7u6tXr17KycmxOcfhw4cVGRmpGjVqyNvbW6NHj9bFixdtapKTk9WmTRu5uLgoMDBQCxYsuNYvBQAAVGHVKuKk//jHP/TVV1/974dU+9+PiY2N1Zo1a7R8+XJ5enpq+PDheuihh/TNN99IkoqLixUZGSlfX19t2bJFx44dU//+/VW9enW99NJLkqSsrCxFRkZq6NChWrRokZKSkjRo0CDVq1dPERERFfGSAFxjjcatMbqFv+3Qy5FGtwDgMiok5FSrVk2+vr5l9ufl5endd9/V4sWLddddd0mS3n//fTVv3lzffvutOnbsqC+//FLfffedvvrqK/n4+KhVq1Z64YUXNHbsWE2aNEnOzs6aN2+eAgIC9Nprr0mSmjdvrs2bN2v69OmEHAAAIKmCxuT88MMP8vPzU+PGjdW3b18dPnxYkpSamqoLFy4oPDzcWtusWTM1aNBAKSkpkqSUlBQFBwfLx8fHWhMREaH8/Hzt3bvXWvPHc5TWlJ7jzxQWFio/P99mAwAA5nTNQ05oaKgWLFighIQEzZ07V1lZWbrjjjt0+vRpZWdny9nZWbVr17Z5jo+Pj7KzsyVJ2dnZNgGn9HjpscvV5Ofn69y5c3/a29SpU+Xp6Wnd/P39/+7LBQAA16lr/nVV9+7drX8OCQlRaGioGjZsqGXLlsnNze1a/7hyGT9+vOLi4qyP8/PzCToAAJhUhU8hr127tm655RYdOHBAvr6+KioqUm5urk1NTk6OdQyPr69vmdlWpY//qsbDw+OyQcrFxUUeHh42GwAAMKcKDzlnzpzRwYMHVa9ePbVt21bVq1dXUlKS9XhmZqYOHz6ssLAwSVJYWJj27Nmj48ePW2sSExPl4eGhoKAga80fz1FaU3oOAACAax5ynn32WW3cuFGHDh3Sli1b9OCDD8rJyUmPPfaYPD09NXDgQMXFxWnDhg1KTU1VdHS0wsLC1LFjR0lSt27dFBQUpH79+mn37t1at26dJkyYoJiYGLm4uEiShg4dqh9//FFjxozR/v379eabb2rZsmWKjY291i8HAABUUdd8TM7PP/+sxx57TL/99ptuvPFG3X777fr222914403SpKmT58uR0dH9erVS4WFhYqIiNCbb75pfb6Tk5NWr16tYcOGKSwsTDVr1lRUVJSmTJlirQkICNCaNWsUGxurmTNnqn79+po/fz7TxwEAgNU1DzlLliy57HFXV1fNmTNHc+bM+dOahg0bau3atZc9T+fOnbVr166r6hEAAJgf964CAACmRMgBAACmRMgBAACmRMgBAACmRMgBAACmRMgBAACmRMgBAACmRMgBAACmRMgBAACmRMgBAACmRMgBAACmRMgBAACmRMgBAACmRMgBAACmRMgBAACmRMgBAACmRMgBAACmRMgBAACmRMgBAACmRMgBAACmRMgBAACmRMgBAACmRMgBAACmRMgBAACmRMgBAACmRMgBAACmRMgBAACmRMgBAACmRMgBAACmRMgBAACmRMgBAACmRMgBAACmVM3oBgAAxmo0bo3RLVwTh16ONLoFXGe4kgMAAEyJkAMAAEypyoecOXPmqFGjRnJ1dVVoaKi2bdtmdEsAAOA6UKXH5CxdulRxcXGaN2+eQkNDNWPGDEVERCgzM1Pe3t5GtwcAQLkwPuraqtJXcl5//XUNHjxY0dHRCgoK0rx581SjRg299957RrcGAAAMVmWv5BQVFSk1NVXjx4+37nN0dFR4eLhSUlIu+ZzCwkIVFhZaH+fl5UmS8vPzK6zPksKzFXbuylSR71FlMsPnwWdx/eCzuL6Y4fPgsyjf+S0Wy2XrqmzI+fXXX1VcXCwfHx+b/T4+Ptq/f/8lnzN16lRNnjy5zH5/f/8K6dFMPGcY3QFK8VlcP/gsri98HtePyvosTp8+LU9Pzz89XmVDztUYP3684uLirI9LSkp08uRJ1alTRw4ODgZ2dvXy8/Pl7++vI0eOyMPDw+h27BqfxfWFz+P6wWdx/TDLZ2GxWHT69Gn5+fldtq7Khpy6devKyclJOTk5NvtzcnLk6+t7yee4uLjIxcXFZl/t2rUrqsVK5eHhUaX/hTUTPovrC5/H9YPP4vphhs/icldwSlXZgcfOzs5q27atkpKSrPtKSkqUlJSksLAwAzsDAADXgyp7JUeS4uLiFBUVpXbt2qlDhw6aMWOGCgoKFB0dbXRrAADAYFU65PTu3VsnTpxQfHy8srOz1apVKyUkJJQZjGxmLi4umjhxYpmv4VD5+CyuL3we1w8+i+uHvX0WDpa/mn8FAABQBVXZMTkAAACXQ8gBAACmRMgBAACmRMgBAACmRMgBrtKmTZt0/PjxMvsvXLigTZs2GdAR/qi4uFhpaWk6deqU0a0AMAghB7hKnTt3VsuWLfXtt9/a7D958qS6dOliUFf2a9SoUXr33Xcl/R5w7rzzTrVp00b+/v5KTk42tjk79OGHH+q2226Tn5+ffvrpJ0nSjBkz9NlnnxncGewJIQf4G/r06aOuXbtqwYIFNvtZmaHyrVixQi1btpQkrVq1SllZWdq/f79iY2P13HPPGdydfZk7d67i4uLUo0cP5ebmqri4WNLvt9GZMWOGsc3Zqa+//lpPPPGEwsLC9Msvv0j6PYhu3rzZ4M4qFiGnCluxYoUeffRRdezYUW3atLHZUPEcHBw0fvx4ffjhhxo+fLji4uKs4aaq3vC1Kvv111+t961bu3atHnnkEd1yyy168skntWfPHoO7sy9vvPGG3nnnHT333HNycnKy7m/Xrh2fhQE+/vhjRUREyM3NTbt27VJhYaEkKS8vTy+99JLB3VUsQk4VNWvWLEVHR8vHx0e7du1Shw4dVKdOHf3444/q3r270e3ZhdJA89BDD+nrr7/WihUr1L17d+Xm5hrbmJ3y8fHRd999p+LiYiUkJOjuu++WJJ09e9bmFy0qXlZWllq3bl1mv4uLiwoKCgzoyL69+OKLmjdvnt555x1Vr17duv+2227Tzp07Deys4hFyqqg333xTb7/9tt544w05OztrzJgxSkxM1DPPPKO8vDyj27M7rVu31rZt25Sbm6uuXbsa3Y5dio6O1qOPPqoWLVrIwcFB4eHhkqStW7eqWbNmBndnXwICApSWllZmf0JCgpo3b175Ddm5zMxMderUqcx+T09P0/+lrErfu8qeHT58WLfeeqskyc3NTadPn5Yk9evXTx07dtTs2bONbM8uREVFyc3NzfrY19dXGzdu1JAhQ5hdZYBJkyapRYsWOnLkiB555BHrvXmcnJw0btw4g7uzL3FxcYqJidH58+dlsVi0bds2ffTRR5o6darmz59vdHt2x9fXVwcOHFCjRo1s9m/evFmNGzc2pqlKQsiponx9fXXy5Ek1bNhQDRo00LfffquWLVsqKyuLQa+V5P333y+zz8XFRR988IEB3UCSHn74YUnS+fPnrfuioqKMasduDRo0SG5ubpowYYLOnj2rxx9/XH5+fpo5c6b69OljdHt2Z/DgwRo5cqTee+89OTg46OjRo0pJSdGzzz6r559/3uj2KhRfV1VRd911lz7//HNJv1+mj42N1d13363evXvrwQcfNLg7+2GvMxauR8XFxXrhhRd00003yd3dXT/++KMk6fnnn7dOLUfFu3jxohYuXKjw8HD98MMPOnPmjLKzs/Xzzz9r4MCBRrdnl8aNG6fHH39cXbt21ZkzZ9SpUycNGjRITz31lEaMGGF0exWKu5BXUSUlJSopKVG1ar9fjFuyZIm2bNmim2++WU899ZScnZ0N7tD8Pv74Y/Xr1099+/bVhx9+qO+++06NGzfW7NmztXbtWq1du9boFu3KlClT9MEHH2jKlCkaPHiwMjIy1LhxYy1dulQzZsxQSkqK0S3ajRo1amjfvn1q2LCh0a3YveLiYn3zzTcKCQlRjRo1dODAAZ05c0ZBQUFyd3c3ur0KR8gBrlLr1q0VGxur/v37q1atWtq9e7caN26sXbt2qXv37srOzja6RbsSGBiot956S127drX5PPbv36+wsDBWPq5EnTt31qhRo9SzZ0+jW4EkV1dX7du3TwEBAUa3UukYk1NFvf/++3J3d9cjjzxis3/58uU6e/Ys4xAqgT3PWLge/fLLLwoMDCyzv6SkRBcuXDCgI/v19NNP65///Kd+/vlntW3bVjVr1rQ5HhISYlBn9qlFixb68ccfCTmoOqZOnaq33nqrzH5vb28NGTKEkFMJ7HnGwvUoKChIX3/9dZmvSFasWHHJNVtQcUoHFz/zzDPWfQ4ODrJYLHJwcLCugIzK8eKLL+rZZ5/VCy+8cMnQ6eHhYVBnFY+QU0UdPnz4kqm8YcOGOnz4sAEd2R97nrFwPYqPj1dUVJR++eUXlZSU6JNPPlFmZqYWLlyo1atXG92eXcnKyjK6BfxBjx49JEn333+/zWrs9hA6CTlVlLe3t9LT08tcRdi9e7fq1KljTFN2Zty4cSopKVHXrl119uxZderUSS4uLnr22WdNP2PhevTAAw9o1apVmjJlimrWrKn4+Hi1adNGq1atsq5+jMrBgOPry4YNG4xuwTAMPK6ixo4dq6VLl+r999+3jgvZuHGjnnzyST388MP6z3/+Y3CH9qOoqMjuZiwAfyUzM1NvvPGG9u3bJ0lq3ry5RowYoaZNmxrcGewJIaeKKioqUr9+/bR8+XLrNPKSkhL1799f8+bNYwp5Jfjvf/+rhx56SDVq1DC6FUjavn27SkpKFBoaarN/69atcnJyUrt27QzqzP58/PHH6tOnj9q1a6ewsDBJ0rfffqvt27dryZIl6tWrl8Ed2p9Tp07p3XfftYbOoKAgRUdHy8vLy+DOKhYhp4r7/vvvtXv3brm5uSk4OJjLxJXoxhtv1Llz53T//ffriSeeUEREBDeCNFCHDh00ZswY66rHpT755BO98sor2rp1q0Gd2Z8mTZqob9++mjJlis3+iRMn6r///a8OHjxoUGf2adOmTbrvvvvk6elpDfupqanKzc3VqlWrLjlL1CwIOcBVunjxohISEvTRRx/ps88+U40aNfTII4+ob9++1vuKofK4u7srPT29zMy2rKwshYSEWO/vhopXo0YNpaenl5nS/8MPP6hly5Y6e/asQZ3Zp+DgYIWFhWnu3LnWv4gVFxfr6aef1pYtW7Rnzx6DO6w4DDyuooqLi7VgwQIlJSXp+PHjKikpsTm+fv16gzqzH9WqVdO9996re++9V2fPntWnn36qxYsXq0uXLqpfvz5/W61kLi4uysnJKRNyjh07Zv1KF5Wjc+fO+vrrr8uEnM2bN+uOO+4wqCv7deDAAa1YscLmSrOTk5Pi4uK0cOFCAzurePyXX0WNHDlSCxYsUGRkpFq0aGEzLRCVr0aNGoqIiNCpU6f0008/Wb/3RuXp1q2bxo8fr88++0yenp6SpNzcXP3rX/9idlUlu//++zV27FilpqaqY8eOkn4fk7N8+XJNnjzZet+90lpUrDZt2mjfvn1lBn3v27dPLVu2NKirysHXVVVU3bp1tXDhQuv6BzBG6RWcRYsWKSkpSf7+/nrsscfUt29fNWvWzOj27Movv/yiTp066bfffrMu/peWliYfHx8lJibK39/f4A7th6Pjld372exrtFwvli5dqjFjxmjEiBE2oXPOnDl6+eWX1bx5c2ut2VajJuRUUX5+fkpOTtYtt9xidCt2q0+fPlq9erVq1KihRx99VH379rXOJIExCgoKtGjRIutg/JCQED322GOqXr260a0Bhvmr0Gnm1agJOVXUa6+9ph9//FGzZ8/mqyqD9O3bV3379mVWFYDr2k8//XTFtWaboUvIqaIefPBBbdiwQV5eXvrHP/5R5m+qn3zyiUGdAcb58MMP9dZbb+nHH39USkqKGjZsqOnTp6tx48Z64IEHjG7Prmzfvl0bNmy45MSI119/3aCuYG8YeFxF1a5dWw8++KDRbQDXjblz5yo+Pl6jRo3Siy++aL3sfsMNN2jGjBmEnEr00ksvacKECWratKl8fHxsrjZz5dkYR48e1ebNmy8ZOv94I1Wz4UoOAFMICgrSSy+9pJ49e6pWrVravXu3GjdurIyMDHXu3Fm//vqr0S3aDR8fH73yyisaMGCA0a1A0oIFC/TUU0/J2dlZderUKRM6f/zxRwO7q1hcyQFgCllZWdZZVX/k4uKigoICAzqyX46OjrrtttuMbgP/5/nnn1d8fLzGjx9/xTPfzIKQU0UFBARc9rKvmZM5cCkBAQFKS0srM3AyISHBZoosKl5sbKzmzJmjGTNmGN0K9PtSF3369LG7gCMRcqqsUaNG2Ty+cOGCdu3apYSEBI0ePdqYpuzY+fPnVVRUZLPPw8PDoG7sU1xcnGJiYnT+/HlZLBZt27ZNH330kaZOnar58+cb3Z5defbZZxUZGakmTZooKCiIiREGGzhwoJYvX65x48YZ3UqlY0yOycyZM0c7duzQ+++/b3Qrpnf27FmNGTNGy5Yt02+//VbmuNnWm6gKFi1apEmTJllvqeHn56fJkydr4MCBBndmX4YPH6758+erS5cuZQYeS+L/T5WsuLhY9957r86dO6fg4OAyodPMs90IOSbz448/qlWrVsrPzze6FdOLiYnRhg0b9MILL6hfv36aM2eOfvnlF7311lt6+eWX1bdvX6NbtFtnz57VmTNn5O3tbXQrdqlWrVpasmSJIiMjjW4Fkl588UXFx8f/6Ww3M9/rkK+rTGbFihXy8vIyug27sGrVKi1cuFCdO3dWdHS07rjjDgUGBqphw4ZatGgRIaeSvfjii+rbt68CAgJUo0YN1ahRw+iW7JaXl5eaNGlidBv4P6+99pree+89u5ztRsipolq3bm2Txi0Wi7Kzs3XixAm9+eabBnZmP06ePGm947WHh4dOnjwpSbr99ts1bNgwI1uzS8uXL9fEiRMVGhqqJ554Qo8++qjq1q1rdFt2adKkSZo4caLef/99wuZ1wMXFxW5nuxFyqqgHHnjAJuQ4OjrqxhtvVOfOnbkxZCVp3LixsrKy1KBBAzVr1kzLli1Thw4dtGrVKtWuXdvo9uzO7t27tXfvXi1atEj/+c9/NGrUKN19993q27evevbsyS/bSjRr1iwdPHhQPj4+atSoUZkxIDt37jSoM/s0cuRIvfHGG5o1a5bRrVQ6xuQAV2n69OlycnLSM888o6+++kr33XefLBaLLly4oNdff10jR440ukW79s0332jx4sVavny5zp8/zzi1SjR58uTLHp84cWIldQLp99sArV+/XnXq1LG72wARcqoYR0fHv1wW3cHBQRcvXqykjlDqp59+UmpqqgIDAxUSEmJ0O3YvLS1N//3vf7VkyRL99ttvOnfunNEtAYaIjo6+7HEzz3Yj5FQxn3322Z8eS0lJ0axZs1RSUqLz589XYlf258KFC7rnnns0b9483XzzzUa3g/+TlZWlxYsXa/HixcrMzNSdd96pxx9/XA8//LA8PT2Nbs+u5ObmasWKFTp48KBGjx4tLy8v7dy5Uz4+PrrpppuMbg92gjE5VcylbjKYmZmpcePGadWqVerbt6+mTJliQGf2pXr16kpPTze6DfxBx44dtX37doWEhCg6OlqPPfYYv0wNkp6ervDwcHl6eurQoUMaPHiwvLy89Mknn+jw4cNauHCh0S3anYsXLyo5OVkHDx7U448/rlq1auno0aPy8PCQu7u70e1VGPtb49lEjh49qsGDBys4OFgXL15UWlqaPvjggzLL2qNiPPHEE3r33XeNbgP/p2vXrtqzZ4927dqlZ599loBjoLi4OA0YMEA//PCDXF1drft79OihTZs2GdiZffrpp58UHBysBx54QDExMTpx4oQk6ZVXXtGzzz5rcHcViys5VVBeXp5eeuklvfHGG2rVqpWSkpJ0xx13GN2W3bl48aLee+89ffXVV2rbtq1q1qxpc9zMq4hej/79738b3QL+z/bt2/XWW2+V2X/TTTcpOzvbgI7s28iRI9WuXTvt3r1bderUse5/8MEHNXjwYAM7q3iEnCpm2rRpeuWVV+Tr66uPPvrokl9foXJkZGSoTZs2kqTvv//e5thfDQ4HzMzFxeWSs9m+//573XjjjQZ0ZN++/vprbdmyRc7Ozjb7GzVqpF9++cWgrioHA4+rGEdHR7m5uSk8PFxOTk5/WmfmKYEArm+DBg3Sb7/9pmXLlsnLy0vp6elycnJSz5491alTJ+5OXsluuOEGffPNNwoKClKtWrW0e/duNW7cWJs3b1avXr2Uk5NjdIsVhpBTxQwYMOCKrhKYeUoggOtbXl6eHn74Ye3YsUOnT5+Wn5+fsrOzFRYWprVr15b5ahcVq3fv3vL09NTbb7+tWrVqKT09XTfeeKMeeOABNWjQwNS/Lwg5wN+wY8cOLVu2TIcPH1ZRUZHNMa6mwd5t3rxZ6enpOnPmjNq0aaPw8HCjW7JLP//8syIiImSxWPTDDz+oXbt2+uGHH1S3bl1t2rTJ1DeyJeQAV2nJkiXq37+/IiIi9OWXX6pbt276/vvvlZOTowcffNDUfzu6HiUkJMjd3V233367JGnOnDl65513FBQUpDlz5uiGG24wuEPAOBcvXtSSJUtsQmffvn3l5uZmdGsVipADXKWQkBA99dRTiomJsX7PHRAQoKeeekr16tX7y6XtcW0FBwfrlVdeUY8ePbRnzx61b99ecXFx2rBhg5o1a0borGCzZs3SkCFD5Orq+pf3SHrmmWcqqSvYO0IOcJVq1qypvXv3qlGjRqpTp46Sk5MVHBysffv26a677tKxY8eMbtGuuLu7KyMjQ40aNdKkSZOUkZGhFStWaOfOnerRowdTlytYQECAduzYoTp16iggIOBP6xwcHPTjjz9WYmf26fPPP1f37t1VvXp1ff7555etvf/++yupq8rHFHLgKt1www06ffq0pN/X/8jIyFBwcLByc3N19uxZg7uzP87Oztb3/auvvlL//v0lSV5eXtycsxJkZWVd8s8wRs+ePZWdnS1vb2/17NnzT+scHBxUXFxceY1VMkIOcJU6deqkxMREBQcH65FHHtHIkSO1fv16JSYmqmvXrka3Z3duv/12xcXF6bbbbtO2bdu0dOlSSb+vzVK/fn2Du7NvxcXF2rNnjxo2bMjYqEpSUlJyyT/bG27rAFyl2bNnq0+fPpKk5557TnFxccrJyVGvXr243YMBZs+erWrVqmnFihWaO3eu9bYOX3zxhe655x6Du7Mvo0aNsv43UFxcrE6dOqlNmzby9/dXcnKysc3ZkZSUFK1evdpm38KFCxUQECBvb28NGTJEhYWFBnVXORiTA1SAc+fOmX7WAvBn6tevr5UrV6pdu3ZauXKlYmJitGHDBn344Ydav369vvnmG6NbtAvdu3dX586dNXbsWEnSnj171KZNGw0YMEDNmzfXq6++qqeeekqTJk0yttEKxJUc4BoqLCzU66+/ftmBl6h458+fV35+vs2GyvPrr7/K19dXkrR27Vo98sgjuuWWW/Tkk09qz549BndnP9LS0my+Ol+yZIlCQ0P1zjvvKC4uTrNmzdKyZcsM7LDiEXKAciosLNT48ePVrl073XrrrVq5cqWk31eZDggI0PTp0xUbG2tsk3aooKBAw4cPl7e3t2rWrKkbbrjBZkPl8fHx0Xfffafi4mIlJCTo7rvvliSdPXv2srejwbV16tQp+fj4WB9v3LhR3bt3tz5u3769jhw5YkRrlYaQA5RTfHy85s6dq0aNGunQoUN65JFHNGTIEE2fPl2vv/66Dh06ZL08jMozZswYrV+/XnPnzpWLi4vmz5+vyZMny8/PTwsXLjS6PbsSHR2tRx99VC1atJCDg4N1peOtW7eqWbNmBndnP3x8fKwz3YqKirRz50517NjRevz06dOqXr26Ue1VCmZXAeW0fPlyLVy4UPfff78yMjIUEhKiixcvavfu3dx93ECrVq3SwoUL1blzZ0VHR+uOO+5QYGCgGjZsqEWLFqlv375Gt2g3Jk2apBYtWujIkSN65JFH5OLiIklycnLSuHHjDO7OfvTo0UPjxo3TK6+8opUrV6pGjRq64447rMfT09PVpEkTAzuseAw8BsrJ2dlZWVlZ1tk7bm5u2rZtm4KDgw3uzL65u7vru+++U4MGDVS/fn198skn6tChg7KyshQcHKwzZ84Y3SJQqX799Vc99NBD2rx5s9zd3fXBBx/owQcftB7v2rWrOnbsqH//+98GdlmxuJIDlFNxcbGcnZ2tj6tVqyZ3d3cDO4IkNW7cWFlZWWrQoIGaNWumZcuWqUOHDlq1apVq165tdHtApSu9AWdeXp7c3d3LjIdavny56f/fxZUcoJwcHR3VvXt36yX4VatW6a677lLNmjVt6rgLeeWaPn26nJyc9Mwzz+irr77SfffdJ4vFogsXLuj111/XyJEjjW4RQCUj5ADlFB0dfUV13BDSWD/99JNSU1MVGBiokJAQo9sBYABCDgAAMCXG5AAwjaSkJCUlJen48eNl7tfz3nvvGdSVfcjPz5eHh4f1z5dTWgdUNEIOAFOYPHmypkyZonbt2qlevXpM569kN9xwg44dOyZvb2/Vrl37ku+/xWIx/V2vcX0h5AAwhXnz5mnBggXq16+f0a3YpfXr18vLy0uStGHDBoO7AX7HmBwAplCnTh1t27bN9IubAbhy3NYBgCkMGjRIixcvNroNSEpISNDmzZutj+fMmaNWrVrp8ccf16lTpwzsDPaGKzkATGHkyJFauHChQkJCFBISUuaePK+//rpBndmf4OBgvfLKK+rRo4f27Nmjdu3a6Z///Kc2bNigZs2asbwCKg1jcgCYQnp6ulq1aiVJysjIsDnGIOTKlZWVpaCgIEnSxx9/rPvuu08vvfSSdu7cqR49ehjcHewJIQeAKTDY9frh7Oyss2fPSpK++uor9e/fX5Lk5eX1l9PLgWuJkAMAuKZuv/12xcXF6bbbbtO2bdu0dOlSSdL333+v+vXrG9wd7AkhB4ApdOnS5bJfS61fv74Su7Fvs2fP1tNPP60VK1Zo7ty5uummmyRJX3zxhe655x6Du4M9YeAxAFOIjY21eXzhwgWlpaUpIyNDUVFRmjlzpkGdATAKV3IAmML06dMvuX/SpEk6c+ZMJXeDUufPn1dRUZHNPm7rgMrClRwApnbgwAF16NBBJ0+eNLoVu1FQUKCxY8dq2bJl+u2338oc57YOqCwsBgjA1FJSUuTq6mp0G3ZlzJgxWr9+vebOnSsXFxfNnz9fkydPlp+fnxYuXGh0e7AjfF0FwBQeeughm8cWi0XHjh3Tjh079PzzzxvUlX1atWqVFi5cqM6dOys6Olp33HGHAgMD1bBhQy1atEh9+/Y1ukXYCUIOAFPw9PS0eezo6KimTZtqypQp6tatm0Fd2aeTJ0+qcePGkn4ff1P6VeHtt9+uYcOGGdka7AwhB4ApcKuA60fjxo2VlZWlBg0aqFmzZlq2bJk6dOigVatWqXbt2ka3BzvCwGMAwDU1ffp0OTk56ZlnntFXX32l++67TxaLRRcuXNDrr7+ukSNHGt0i7AQhB4Ap3HDDDZdcDNDBwUGurq4KDAzUgAEDFB0dbUB39u2nn35SamqqAgMDFRISYnQ7sCN8XQXAFOLj4/Xvf/9b3bt3V4cOHSRJ27ZtU0JCgmJiYpSVlaVhw4bp4sWLGjx4sMHd2peGDRuqYcOGRrcBO8SVHACm0KtXL919990aOnSozf633npLX375pT7++GO98cYbevvtt7Vnzx6DujS39evXa/jw4fr222/LLPiXl5enW2+9VfPmzdMdd9xhUIewN4QcAKbg7u6utLQ0BQYG2uw/cOCAWrVqpTNnzujgwYMKCQlRQUGBQV2a2/33368uXbqUucVGqVmzZmnDhg369NNPK7kz2CsWAwRgCl5eXlq1alWZ/atWrZKXl5ek31firVWrVmW3Zjd279592RtwduvWTampqZXYEewdY3IAmMLzzz+vYcOGacOGDdYxOdu3b9fatWs1b948SVJiYqLuvPNOI9s0tZycHFWvXv1Pj1erVk0nTpyoxI5g7wg5AExh8ODBCgoK0uzZs/XJJ59Ikpo2baqNGzfq1ltvlST985//NLJF07vpppuUkZFR5ivDUunp6apXr14ldwV7xpgcAMA1MWLECCUnJ2v79u1l7hd27tw5dejQQV26dNGsWbMM6hD2hpADoMrKz8+/4tr/f7YPrr2cnBy1adNGTk5OGj58uJo2bSpJ2r9/v+bMmaPi4mLt3LlTPj4+BncKe0HIAVBlOTo6XnIBwD+yWCxycHBQcXFxJXVl33766ScNGzZM69atU+mvFwcHB0VERGjOnDkKCAgwuEPYE0IOgCpr48aNV1zLgOPKderUKR04cEAWi0U333yzbrjhBqNbgh0i5AAwvYyMDLVo0cLoNgBUMtbJAWBKp0+f1ttvv60OHTqoZcuWRrcDwACEHACmsmnTJkVFRalevXr6z3/+o7vuukvffvut0W0BMADr5ACo8rKzs7VgwQK9++67ys/P16OPPqrCwkKtXLlSQUFBRrcHwCBcyQFQpd13331q2rSp0tPTNWPGDB09elRvvPGG0W0BuA5wJQdAlfbFF1/omWee0bBhw3TzzTcb3Q6A6whXcgBUaZs3b9bp06fVtm1bhYaGavbs2fr111+NbgvAdYAp5ABMoaCgQEuXLtV7772nbdu2qbi4WK+//rqefPJJ7jwO2ClCDgDTyczM1LvvvqsPP/xQubm5uvvuu/X5558b3RaASkbIAWBaxcXFWrVqld577z1CDmCHCDkAAMCUGHgMAABMiZADAABMiZADAABMiZADAABMiZADAABMiZADoFJ07txZo0aNuu7PeaX27dun+++/X56enqpZs6bat2+vw4cPG9ILgEsj5ABAOR08eFC33367mjVrpuTkZKWnp+v555+Xq6ur0a0B+ANCDoAKN2DAAG3cuFEzZ86Ug4ODHBwcdOjQIWVkZKh79+5yd3eXj4+P+vXrZ73vVHJyspydnfX1119bzzNt2jR5e3srJyfnT88pSRs3blSHDh3k4uKievXqady4cbp48eIV9VpQUKD+/fvL3d1d9erV02uvvVbmitFzzz2nHj16aNq0aWrdurWaNGmi+++/X97e3tfsPQPw9xFyAFS4mTNnKiwsTIMHD9axY8d07Ngx1apVS3fddZdat26tHTt2KCEhQTk5OXr00Ucl/e+rqH79+ikvL0+7du3S888/r/nz58vHx+eS5/T399cvv/yiHj16qH379tq9e7fmzp2rd999Vy+++OIV9Tp69Ght3LhRn332mb788kslJydr586d1uMlJSVas2aNbrnlFkVERMjb21uhoaFauXJlRbx1AP4OCwBUgjvvvNMycuRI6+MXXnjB0q1bN5uaI0eOWCRZMjMzLRaLxVJYWGhp1aqV5dFHH7UEBQVZBg8efNlzWiwWy7/+9S9L06ZNLSUlJdZ9c+bMsbi7u1uKi4sv2+Pp06ctzs7OlmXLlln3/fbbbxY3Nzfrzzl27JhFkqVGjRqW119/3bJr1y7L1KlTLQ4ODpbk5OQrfTsAVIJqRocsAPZp9+7d2rBhg9zd3cscO3jwoG655RY5Oztr0aJFCgkJUcOGDTV9+vS/PO++ffsUFhYmBwcH677bbrtNZ86c0c8//6wGDRr86XMPHjyooqIihYaGWvd5eXmpadOm1sclJSWSpAceeECxsbGSpFatWmnLli2aN2+e7rzzzr9+8QAqBSEHgCHOnDmj++67T6+88kqZY/Xq1bP+ecuWLZKkkydP6uTJk6pZs2al9XgpdevWVbVq1RQUFGSzv3nz5tq8ebNBXQG4FMbkAKgUzs7OKi4utj5u06aN9u7dq0aNGikwMNBmKw0yBw8eVGxsrN555x2FhoYqKirKeiXlUueUfg8bKSkpsvzh3sPffPONatWqpfr161+2xyZNmqh69eraunWrdd+pU6f0/fff2/zM9u3bKzMz0+a533//vRo2bFiOdwRARSPkAKgUjRo10tatW3Xo0CH9+uuviomJ0cmTJ/XYY49p+/btOnjwoNatW6fo6GgVFxeruLhYTzzxhCIiIhQdHa33339f6enpeu211/70nCUlJXr66ad15MgRjRgxQvv379dnn32miRMnKi4uTo6Ol/9fnru7uwYOHKjRo0dr/fr1ysjI0IABA8o8b/To0Vq6dKneeecdHThwQLNnz9aqVav09NNPV8h7B+AqGT0oCIB9yMzMtHTs2NHi5uZmkWTJysqyfP/995YHH3zQUrt2bYubm5ulWbNmllGjRllKSkoskydPttSrV8/y66+/Ws/x8ccfW5ydnS1paWl/ek6LxWJJTk62tG/f3uLs7Gzx9fW1jB071nLhwoUr6vP06dOWJ554wlKjRg2Lj4+PZdq0aZcc4Pzuu+9aAgMDLa6urpaWLVtaVq5ceU3eJwDXjoPF8odrugCAMjp37qxWrVppxowZRrcCoBz4ugoAAJgSIQeA3Th8+LDc3d3/dOPeU4C58HUVALtx8eJF660fLqVRo0aqVo2VNQCzIOQAAABT4usqAABgSoQcAABgSoQcAABgSoQcAABgSoQcAABgSoQcAABgSoQcAABgSv8PQXQcBGvlnuEAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "frecuencia_mala_alimentacion_df.plot(kind='bar')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ece0b860",
+   "metadata": {},
+   "source": [
+    "En sí, con eso ya tendríamos nuestro gráfico... pero no se ve muy bien. Los colores son feos, el gráfico es chico, no tienen título y se puede ver la etiqueta \"texto_q64\" abajo. Ahora vamos a mejorarlo usando los mismos parámetros que vimos anteriormente en los gráficos de torta.\n",
+    "* **title**: a este parámetro le pasamos el título que queremos que se vea sobre nuestro gráfico.\n",
+    "* **xlabel**: indica la etiqueta del eje x, le pondremos \"\" para que no muestre nada.\n",
+    "* **color**: le indicaremos \"purple\" para que en vez de azul, las barras del gráfico se vean violetas.\n",
+    "* **figsize**: recibe una tupla (x,y) en donde x es el ancho e y es el alto en pulgadas del gráfico."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "8c52436e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1000x800 with 1 Axes>"
+      ]
      },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
-    "fig = frecuencia_hambre.plot(kind='bar',\n",
-    "        title='Frecuencia con la que pasaron hambre', xlabel=\"\", figsize = (15,10), fontsize=13, color=\"purple\", rot=0)\n"
+    "frecuencia_mala_alimentacion_df.plot(kind=\"bar\", title='Frecuencia de una alimentación incorrecta',\n",
+    "                                     xlabel=\"\", figsize = (10,8), color=\"purple\")\n",
+    "plt.show()"
    ]
   }
  ],
@@ -1281,7 +1726,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.4"
+   "version": "3.10.6"
   }
  },
  "nbformat": 4,