Game_of_Life_new_colors.ipynb

{"cells":[{"cell_type":"markdown","metadata":{"id":"YSiw8puDjsZI"},"source":["# Juego de la Vida (Game of Life)\n","\n","El **Juego de la Vida**, también conocido como **Vida**, es un autómata celular diseñador por el matemático británico John Horton Conway en 1970. Es un juego sin jugadores, esto significa que su evolución está determinada por su estado inicial, sin requerir más entradas. Uno interactúa con el Juego de la Vida al crear un estado inicial (o configuración inicial) y se observa como evoluciona. Es Turing completo (puede simular cualquier máquina de Turing) y puede simular un constructor universal o cualquier otra máquina de Turing.\n","\n","<center>\n","<img src=\"https://1.bp.blogspot.com/-pdQ2ckeQzCw/WwGFbYTKRoI/AAAAAAAAAY8/kb-gcutnkKc2TnQainAlYK5FlWmv87XywCPcBGAYYCw/s1600/ezgif.com-video-to-gif.gif\" width=250 height=250 />\n","</center>"]},{"cell_type":"markdown","source":["## Reglas\n","\n","El universo (o entorno) del Juego de la Vida es infinito, cuadrícula ortogonal bidimensional de celdas cuadradas, cada una de ellas se encuentra con uno de dos posibles estados, vivo o muerto (poblado o despoblado, respectivamente). Cada celda interactúa con ocho vecinos, que son las celdas adyacentes horizontales, verticales y diagonales. En cada paso de tiempo, las siguientes transiciones ocurren:\n","\n","1. Cualquier celda viva con menos de dos vecinos vivos muere, debido a la subpoblación.\n","2. Cualquier celda viva con dos o tres vecinos vivos sobrevive para la siguiente generación.\n","3. Cualquier celda con más de tres vecinos vivos muere, debido a la sobrepoblación.\n","4. Cualquier celda muerta con exactamente tres vecinos vivos se convierte en una celda viva, debido a la reproducción.\n","\n","Estas reglas, que comparan el comportamiento del autómata a la vida real, pueden ser condensadas en lo siguiente:\n","\n","1. Cualquier celda viva con dos o más vecinos vivos sobrevive.\n","2. Cualquier celda muerta con tres vecinos vivos se convierte en una celda viva.\n","3. Cualquier otra celda viva muere en la siguiente generación. De manera similar, cualquier otra celda muerta se queda muerta.\n","\n","El patrón inicial constituye la semilla del sistema. La primera generación es creada al aplicar las reglas anteriores de manera simultanea a cualquier celda en la semilla, viva o muerta; nacimientos y muertes ocurren simultáneamente, y el momento discreto en el cual esto pasa es a veces llamado turno. Cada generación es una función pura de la anterior. Las reglas se aplican de forma repetida para crear nuevas generaciones."],"metadata":{"collapsed":false,"id":"2OCsh3LLjsZK"}},{"cell_type":"code","execution_count":1,"outputs":[{"output_type":"stream","name":"stdout","text":["Collecting mesa\n","  Downloading Mesa-2.1.1-py3-none-any.whl (1.8 MB)\n","\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.8/1.8 MB\u001b[0m \u001b[31m5.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25hRequirement already satisfied: click in /usr/local/lib/python3.10/dist-packages (from mesa) (8.1.6)\n","Collecting cookiecutter (from mesa)\n","  Downloading cookiecutter-2.3.0-py3-none-any.whl (39 kB)\n","Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from mesa) (3.1)\n","Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from mesa) (1.23.5)\n","Requirement already satisfied: pandas in /usr/local/lib/python3.10/dist-packages (from mesa) 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(from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets->solara->mesa) (0.4)\n","Requirement already satisfied: jupyterlab-pygments in /usr/local/lib/python3.10/dist-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets->solara->mesa) (0.2.2)\n","Requirement already satisfied: mistune<2,>=0.8.1 in /usr/local/lib/python3.10/dist-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets->solara->mesa) (0.8.4)\n","Requirement already satisfied: nbclient>=0.5.0 in /usr/local/lib/python3.10/dist-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets->solara->mesa) (0.8.0)\n","Requirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets->solara->mesa) (23.1)\n","Requirement already satisfied: pandocfilters>=1.4.1 in /usr/local/lib/python3.10/dist-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets->solara->mesa) (1.5.0)\n","Requirement already satisfied: tinycss2 in /usr/local/lib/python3.10/dist-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets->solara->mesa) (1.2.1)\n","Requirement already satisfied: cffi>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from argon2-cffi-bindings->argon2-cffi->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets->solara->mesa) (1.15.1)\n","Requirement already satisfied: soupsieve>1.2 in /usr/local/lib/python3.10/dist-packages (from beautifulsoup4->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets->solara->mesa) (2.4.1)\n","Requirement already satisfied: webencodings in /usr/local/lib/python3.10/dist-packages (from bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets->solara->mesa) (0.5.1)\n","Requirement already satisfied: pycparser in /usr/local/lib/python3.10/dist-packages (from cffi>=1.0.1->argon2-cffi-bindings->argon2-cffi->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets->solara->mesa) (2.21)\n","Installing collected packages: websockets, watchdog, pymdown-extensions, jedi, h11, binaryornot, uvicorn, starlette, jupyter-client, arrow, rich-click, cookiecutter, reacton, ipyvue, ipyvuetify, solara, mesa\n","  Attempting uninstall: jupyter-client\n","    Found existing installation: jupyter-client 6.1.12\n","    Uninstalling jupyter-client-6.1.12:\n","      Successfully uninstalled jupyter-client-6.1.12\n","Successfully installed arrow-1.2.3 binaryornot-0.4.4 cookiecutter-2.3.0 h11-0.14.0 ipyvue-1.9.2 ipyvuetify-1.8.10 jedi-0.19.0 jupyter-client-8.3.0 mesa-2.1.1 pymdown-extensions-10.1 reacton-1.7.1 rich-click-1.6.1 solara-1.19.0 starlette-0.31.0 uvicorn-0.23.2 watchdog-3.0.0 websockets-11.0.3\n"]}],"source":["!python3 -m pip install mesa"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"lnrcsCp6jsZL","executionInfo":{"status":"ok","timestamp":1691536938041,"user_tz":360,"elapsed":31728,"user":{"displayName":"Jorge Mario Cruz Duarte","userId":"13516284558844055913"}},"outputId":"51aea1d8-5d72-44df-c6bc-069c64541867"}},{"cell_type":"markdown","source":["## Imports\n","\n","Antes de empezar a crear el modelo del juego de la vida con multiagentes es necesario tener instalado los siguientes paquetes:\n","- `python`: asegúrense de usar la versión 3+.\n","- `mesa`: el framework de Python para el modelado de agentes.\n","- `numpy`: es una biblioteca de Python para el manejo de matrices, arreglos, manipulación matemática, lógica y mucho más.\n","- `matplotlib`: es una biblioteca para crear visualizaciones estáticas, animadas e interactivas en Python.\n","\n","Para poder modelar el juego de la vida usando el framework de `mesa` es necesario importar dos clases: una para el modelo general, y otro para los agentes."],"metadata":{"collapsed":false,"id":"WwKQ07hdjsZL"}},{"cell_type":"code","execution_count":2,"outputs":[],"source":["# 'Model' sirve para definir los atributos a nivel del modelo, maneja los agentes\n","# 'Agent' es la unidad atómica y puede ser contenido en múltiples instancias en los modelos\n","from mesa import Agent, Model\n","\n","# 'SingleGrid' sirve para forzar a un solo objeto por celda (nuestro objetivo en este \"juego\")\n","from mesa.space import SingleGrid\n","\n","# 'SimultaneousActivation' habilita la opción de activar todos los agentes de manera simultanea.\n","from mesa.time import SimultaneousActivation\n","\n","# 'DataCollector' permite obtener el grid completo a cada paso (o generación), útil para visualizar\n","from mesa.datacollection import DataCollector\n","\n","# 'matplotlib' lo usamos para graficar/visualizar como evoluciona el autómata celular.\n","%matplotlib inline\n","import matplotlib.pyplot as plt\n","import matplotlib as mlp\n","import matplotlib.animation as animation\n","plt.rcParams[\"animation.html\"] = \"jshtml\"\n","mlp.rcParams['animation.embed_limit'] = 2**128\n","\n","# Definimos los siguientes paquetes para manejar valores númericos: 'numpy' & 'pandas'\n","import numpy as np\n","import pandas as pd\n","\n","# Definimos otros paquetes que vamos a usar para medir el tiempo de ejecución de nuestro algoritmo.\n","import time\n","import datetime"],"metadata":{"id":"wVOfTkTWjsZM","executionInfo":{"status":"ok","timestamp":1691536938812,"user_tz":360,"elapsed":774,"user":{"displayName":"Jorge Mario Cruz Duarte","userId":"13516284558844055913"}}}},{"cell_type":"markdown","source":["## Crear el modelo\n","\n","Antes que nada el presente modelo se encuentra basado en el [tutorial introductorio](https://mesa.readthedocs.io/en/latest/tutorials/intro_tutorial.html). Se modificó para que funcionara con el presente problema pero en esencia es lo mismo."],"metadata":{"collapsed":false,"id":"PrqV27OYjsZM"}},{"cell_type":"code","execution_count":4,"outputs":[],"source":["class GameLifeAgent(Agent):\n","    \"\"\"\n","    Representa a un agente o una celda con estado vivo (1) o muerto (0)\n","    \"\"\"\n","    def __init__(self, unique_id, model):\n","        \"\"\"\n","        Crea un agente con estado inicial aleatorio de 0 ó 1, también se le asigna un identificador\n","        formado por una tupla (x,y). Se define un nuevo estado cuyo valor será definido por las\n","        reglas mencionadas arriba.\n","        \"\"\"\n","        super().__init__(unique_id, model)\n","        self.live = np.random.choice([0,1])\n","        self.next_state = None\n","\n","    def step(self):\n","        \"\"\"\n","        Este método es el que calcula si la celda vivirá o morirá dependiendo el estado de sus vecinos.\n","        Esta es la dinámica principal del juego de la vida. Por lo tanto, el estado live de la\n","        siguiente generación no se cambia aquí, solo se almacena en self.next_state. La idea consiste\n","        en esperar a que todos los agentes calculen su estado y una vez hecho esto, hacer el cambio.\n","        \"\"\"\n","\n","        neighbours = self.model.grid.get_neighbors(\n","            self.pos,\n","            moore=True,\n","            include_center=False)\n","\n","        # live_neighbours = np.sum([neighbour.live for neighbour in neighbours])\n","        live_neighbours = 0\n","        for neighbor in neighbours:\n","            live_neighbours = live_neighbours + neighbor.live\n","\n","        self.next_state = self.live\n","        if self.next_state == 1 and (live_neighbours < 2 or live_neighbours > 3):\n","            self.next_state = 0\n","        else:\n","            if live_neighbours == 3:\n","                self.next_state = 1\n","\n","    def advance(self):\n","        \"\"\"\n","        Define el nuevo estado calculado del método step.\n","        \"\"\"\n","        self.live = self.next_state\n","\n","class GameLifeModel(Model):\n","    \"\"\"\n","    Define el modelo del juego de la vida.\n","    \"\"\"\n","    def __init__(self, width, height):\n","        self.width = width\n","        self.height = height\n","\n","        self.reset()\n","\n","    def reset(self):\n","        self.num_agents = self.width * self.height\n","        self.grid = SingleGrid(self.width, self.height, True)\n","        self.schedule = SimultaneousActivation(self)\n","\n","        # se importa arriba: import random\n","        # celdas = model.grid.coord_iter()\n","        # celdas_con_arboles = random.sample(celdas, k=25)\n","        # posiciones_arboles = [pos for _, pos in celdas_con_arboles]\n","\n","        for (content, pos) in self.grid.coord_iter():\n","            # if pos in posiciones_arboles\n","                # código para instanciar árbol\n","\n","            a = GameLifeAgent(pos, self)\n","            self.grid.place_agent(a, pos)\n","            self.schedule.add(a)\n","\n","        # Aquí definimos el colector de datos para obtener el grid completo.\n","        self.datacollector = DataCollector(\n","            model_reporters={\"Grid\": self.get_grid,\n","                             \"Live\": self.get_live}\n","        )\n","\n","    def step(self):\n","        \"\"\"\n","        En cada paso el colector toma la información que se definió y almacena el grid para luego\n","        graficarlo.\n","        \"\"\"\n","        self.datacollector.collect(self)\n","        self.schedule.step()\n","\n","    def get_grid(self):\n","        \"\"\"\n","        Esta es una función auxiliar que nos permite guardar el grid para cada uno de los agentes.\n","        :param model: El modelo del cual obtener el grid.\n","        :return: Matriz con la información del grid del agente.\n","        \"\"\"\n","\n","        # Generamos la grid para contener los valores\n","        grid = np.zeros((self.grid.width, self.grid.height))\n","\n","        # Asignamos una celda a cada uno de los elementos de la grilla\n","        for cell in self.grid.coord_iter():\n","            cell_content, pos = cell\n","            x, y = pos\n","            grid[x][y] = cell_content.live\n","\n","        return grid\n","\n","    def get_live(self):\n","        total_live_agents = 0\n","\n","        # Por todas las celdas del grid\n","        for cell in model.grid.coord_iter():\n","            agent, _ = cell\n","            if isinstance(agent, GameLifeAgent):\n","                total_live_agents += agent.live\n","\n","        return total_live_agents"],"metadata":{"id":"huNMYZ_4jsZN","executionInfo":{"status":"ok","timestamp":1691536938985,"user_tz":360,"elapsed":4,"user":{"displayName":"Jorge Mario Cruz Duarte","userId":"13516284558844055913"}}}},{"cell_type":"markdown","source":["# Ejecución del modelo\n","A continuación corremos el modelo"],"metadata":{"collapsed":false,"id":"HlcdHCEcjsZN"}},{"cell_type":"code","execution_count":16,"outputs":[{"output_type":"stream","name":"stdout","text":["Tiempo de ejecución: 0:00:04.499499\n"]}],"source":["# Definimos el tamaño del Grid ..> 7 x 7\n","GRID_SIZE = 100\n","\n","# Definimos el número de generaciones a correr\n","NUM_GENERATIONS = 50\n","\n","# Registramos el tiempo de inicio y corremos el modelo\n","start_time = time.time()\n","\n","model = GameLifeModel(GRID_SIZE, GRID_SIZE)\n","for i in range(NUM_GENERATIONS):\n","    model.step()\n","final_time = time.time()\n","\n","# Imprimimos el tiempo que le tomó correr al modelo.\n","print('Tiempo de ejecución:', str(datetime.timedelta(seconds=(final_time - start_time))))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"eAsIUI8XjsZN","executionInfo":{"status":"ok","timestamp":1691537208819,"user_tz":360,"elapsed":4749,"user":{"displayName":"Jorge Mario Cruz Duarte","userId":"13516284558844055913"}},"outputId":"d6696e09-d216-40bb-ccc1-a430538f563d"}},{"cell_type":"markdown","metadata":{"id":"mxrV94C2jsZO"},"source":["Obtenemos la información que almacenó el colector, este nos entregará un DataFrame de pandas que contiene toda la información."]},{"cell_type":"code","execution_count":17,"metadata":{"id":"aFyLlgZhjsZO","executionInfo":{"status":"ok","timestamp":1691537208819,"user_tz":360,"elapsed":5,"user":{"displayName":"Jorge Mario Cruz Duarte","userId":"13516284558844055913"}}},"outputs":[],"source":["all_grids = model.datacollector.get_model_vars_dataframe()"]},{"cell_type":"markdown","metadata":{"id":"dLfjsathjsZO"},"source":["Graficamos la información usando `matplotlib`"]},{"cell_type":"code","execution_count":18,"outputs":[{"output_type":"execute_result","data":{"text/plain":["                                                 Grid  Live\n","0   [[1.0, 1.0, 1.0, 0.0, 1.0, 1.0, 1.0, 1.0, 1.0,...  5043\n","1   [[1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...  2671\n","2   [[1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...  2553\n","3   [[1.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0,...  2484\n","4   [[1.0, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0,...  2341\n","5   [[0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0,...  2316\n","6   [[0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0,...  2204\n","7   [[0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0,...  2152\n","8   [[0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0,...  2163\n","9   [[0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0,...  2126\n","10  [[1.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0,...  2108\n","11  [[0.0, 1.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0,...  2006\n","12  [[0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...  1987\n","13  [[1.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0,...  1913\n","14  [[0.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0,...  1914\n","15  [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...  1833\n","16  [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...  1781\n","17  [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...  1763\n","18  [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...  1743\n","19  [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...  1753\n","20  [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...  1750\n","21  [[1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...  1730\n","22  [[1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...  1713\n","23  [[0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...  1579\n","24  [[1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...  1656\n","25  [[0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...  1598\n","26  [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...  1565\n","27  [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...  1517\n","28  [[1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...  1442\n","29  [[1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...  1464\n","30  [[0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...  1418\n","31  [[1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...  1437\n","32  [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...  1377\n","33  [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...  1428\n","34  [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...  1363\n","35  [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...  1338\n","36  [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...  1315\n","37  [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...  1344\n","38  [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...  1287\n","39  [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...  1310\n","40  [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...  1300\n","41  [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...  1286\n","42  [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...  1308\n","43  [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...  1305\n","44  [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...  1241\n","45  [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...  1295\n","46  [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...  1225\n","47  [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...  1263\n","48  [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...  1212\n","49  [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...  1212"],"text/html":["\n","\n","  <div id=\"df-e24461ac-d8ba-4170-b0ea-111aa4da9451\">\n","    <div class=\"colab-df-container\">\n","      <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>Grid</th>\n","      <th>Live</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>[[1.0, 1.0, 1.0, 0.0, 1.0, 1.0, 1.0, 1.0, 1.0,...</td>\n","      <td>5043</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>[[1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>2671</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>[[1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>2553</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>[[1.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>2484</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>[[1.0, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>2341</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>[[0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>2316</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>[[0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>2204</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>[[0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>2152</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>[[0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>2163</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>[[0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>2126</td>\n","    </tr>\n","    <tr>\n","      <th>10</th>\n","      <td>[[1.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>2108</td>\n","    </tr>\n","    <tr>\n","      <th>11</th>\n","      <td>[[0.0, 1.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>2006</td>\n","    </tr>\n","    <tr>\n","      <th>12</th>\n","      <td>[[0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>1987</td>\n","    </tr>\n","    <tr>\n","      <th>13</th>\n","      <td>[[1.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>1913</td>\n","    </tr>\n","    <tr>\n","      <th>14</th>\n","      <td>[[0.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>1914</td>\n","    </tr>\n","    <tr>\n","      <th>15</th>\n","      <td>[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>1833</td>\n","    </tr>\n","    <tr>\n","      <th>16</th>\n","      <td>[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>1781</td>\n","    </tr>\n","    <tr>\n","      <th>17</th>\n","      <td>[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>1763</td>\n","    </tr>\n","    <tr>\n","      <th>18</th>\n","      <td>[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>1743</td>\n","    </tr>\n","    <tr>\n","      <th>19</th>\n","      <td>[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>1753</td>\n","    </tr>\n","    <tr>\n","      <th>20</th>\n","      <td>[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>1750</td>\n","    </tr>\n","    <tr>\n","      <th>21</th>\n","      <td>[[1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>1730</td>\n","    </tr>\n","    <tr>\n","      <th>22</th>\n","      <td>[[1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>1713</td>\n","    </tr>\n","    <tr>\n","      <th>23</th>\n","      <td>[[0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>1579</td>\n","    </tr>\n","    <tr>\n","      <th>24</th>\n","      <td>[[1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>1656</td>\n","    </tr>\n","    <tr>\n","      <th>25</th>\n","      <td>[[0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>1598</td>\n","    </tr>\n","    <tr>\n","      <th>26</th>\n","      <td>[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>1565</td>\n","    </tr>\n","    <tr>\n","      <th>27</th>\n","      <td>[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>1517</td>\n","    </tr>\n","    <tr>\n","      <th>28</th>\n","      <td>[[1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>1442</td>\n","    </tr>\n","    <tr>\n","      <th>29</th>\n","      <td>[[1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>1464</td>\n","    </tr>\n","    <tr>\n","      <th>30</th>\n","      <td>[[0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>1418</td>\n","    </tr>\n","    <tr>\n","      <th>31</th>\n","      <td>[[1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>1437</td>\n","    </tr>\n","    <tr>\n","      <th>32</th>\n","      <td>[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>1377</td>\n","    </tr>\n","    <tr>\n","      <th>33</th>\n","      <td>[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>1428</td>\n","    </tr>\n","    <tr>\n","      <th>34</th>\n","      <td>[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>1363</td>\n","    </tr>\n","    <tr>\n","      <th>35</th>\n","      <td>[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>1338</td>\n","    </tr>\n","    <tr>\n","      <th>36</th>\n","      <td>[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>1315</td>\n","    </tr>\n","    <tr>\n","      <th>37</th>\n","      <td>[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>1344</td>\n","    </tr>\n","    <tr>\n","      <th>38</th>\n","      <td>[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>1287</td>\n","    </tr>\n","    <tr>\n","      <th>39</th>\n","      <td>[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>1310</td>\n","    </tr>\n","    <tr>\n","      <th>40</th>\n","      <td>[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>1300</td>\n","    </tr>\n","    <tr>\n","      <th>41</th>\n","      <td>[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>1286</td>\n","    </tr>\n","    <tr>\n","      <th>42</th>\n","      <td>[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>1308</td>\n","    </tr>\n","    <tr>\n","      <th>43</th>\n","      <td>[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>1305</td>\n","    </tr>\n","    <tr>\n","      <th>44</th>\n","      <td>[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>1241</td>\n","    </tr>\n","    <tr>\n","      <th>45</th>\n","      <td>[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>1295</td>\n","    </tr>\n","    <tr>\n","      <th>46</th>\n","      <td>[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>1225</td>\n","    </tr>\n","    <tr>\n","      <th>47</th>\n","      <td>[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>1263</td>\n","    </tr>\n","    <tr>\n","      <th>48</th>\n","      <td>[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>1212</td>\n","    </tr>\n","    <tr>\n","      <th>49</th>\n","      <td>[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,...</td>\n","      <td>1212</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" 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Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n"]},"metadata":{},"execution_count":18}],"source":["all_grids"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"Bd0XLqcrjsZO","executionInfo":{"status":"ok","timestamp":1691537212427,"user_tz":360,"elapsed":3612,"user":{"displayName":"Jorge Mario Cruz Duarte","userId":"13516284558844055913"}},"outputId":"2ef2b928-47af-4ab0-f0b0-ab4ba4e4d229"}},{"cell_type":"code","execution_count":19,"metadata":{"id":"oVIdb_8jjsZP","executionInfo":{"status":"ok","timestamp":1691537212568,"user_tz":360,"elapsed":143,"user":{"displayName":"Jorge Mario Cruz Duarte","userId":"13516284558844055913"}}},"outputs":[],"source":["%%capture\n","\n","fig, axs = plt.subplots(nrows=1, ncols=1, figsize=(7,7))\n","\n","axs.set_xticks([])\n","axs.set_yticks([])\n","\n","colors = []\n","colors.append(np.array([255 / 255, 255 / 255, 40 / 255, 1]))\n","colors.append(np.array([255 / 255, 80 / 255, 80 / 255, 1]))\n","#colors.append(np.array([120 / 255, 255 / 255, 120 / 255, 1]))\n","#colors.append(np.array([40 / 255, 40 / 255, 40 / 255, 1]))\n","colormap = mlp.colors.ListedColormap(colors)\n","\n","patch_grid = axs.imshow(all_grids['Grid'].iloc[0], cmap=colormap, vmin=0, vmax=1)\n","\n","cells_alive = []\n","def animate(i):\n","    patch_grid.set_data(all_grids['Grid'].iloc[i])\n","\n","    cells_alive.append(all_grids['Live'].iloc[i])\n","\n","anim = animation.FuncAnimation(fig, animate, frames=NUM_GENERATIONS)"]},{"cell_type":"code","execution_count":20,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":805},"id":"jYgovUq8jsZP","executionInfo":{"status":"ok","timestamp":1691537353344,"user_tz":360,"elapsed":4252,"user":{"displayName":"Jorge Mario Cruz Duarte","userId":"13516284558844055913"}},"outputId":"669b693c-0ce4-44d3-e6e9-9ff14a35314a"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["<matplotlib.animation.FuncAnimation at 0x7b0acf8d6f80>"],"text/html":["\n","<link rel=\"stylesheet\"\n","href=\"https://maxcdn.bootstrapcdn.com/font-awesome/4.4.0/css/font-awesome.min.css\">\n","<script language=\"javascript\">\n","  function isInternetExplorer() {\n","    ua = navigator.userAgent;\n","    /* MSIE used to detect old browsers and Trident used to newer ones*/\n","    return ua.indexOf(\"MSIE \") > -1 || ua.indexOf(\"Trident/\") > -1;\n","  }\n","\n","  /* Define the Animation class */\n","  function Animation(frames, img_id, slider_id, interval, loop_select_id){\n","    this.img_id = img_id;\n","    this.slider_id = slider_id;\n","    this.loop_select_id = loop_select_id;\n","    this.interval = interval;\n","    this.current_frame = 0;\n","    this.direction = 0;\n","    this.timer = null;\n","    this.frames = new Array(frames.length);\n","\n","    for (var i=0; i<frames.length; i++)\n","    {\n","     this.frames[i] = new Image();\n","     this.frames[i].src = frames[i];\n","    }\n","    var slider = document.getElementById(this.slider_id);\n","    slider.max = this.frames.length - 1;\n","    if (isInternetExplorer()) {\n","        // switch from oninput to onchange because IE <= 11 does not conform\n","        // with W3C specification. It ignores oninput and onchange behaves\n","        // like oninput. 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this.set_frame(this.current_frame);\n","    }else{\n","      var loop_state = this.get_loop_state();\n","      if(loop_state == \"loop\"){\n","        this.first_frame();\n","      }else if(loop_state == \"reflect\"){\n","        this.last_frame();\n","        this.reverse_animation();\n","      }else{\n","        this.pause_animation();\n","        this.last_frame();\n","      }\n","    }\n","  }\n","\n","  Animation.prototype.anim_step_reverse = function()\n","  {\n","    this.current_frame -= 1;\n","    if(this.current_frame >= 0){\n","      this.set_frame(this.current_frame);\n","    }else{\n","      var loop_state = this.get_loop_state();\n","      if(loop_state == \"loop\"){\n","        this.last_frame();\n","      }else if(loop_state == \"reflect\"){\n","        this.first_frame();\n","        this.play_animation();\n","      }else{\n","        this.pause_animation();\n","        this.first_frame();\n","      }\n","    }\n","  }\n","\n","  Animation.prototype.pause_animation = function()\n","  {\n","    this.direction = 0;\n","    if (this.timer){\n","      clearInterval(this.timer);\n","      this.timer = null;\n","    }\n","  }\n","\n","  Animation.prototype.play_animation = function()\n","  {\n","    this.pause_animation();\n","    this.direction = 1;\n","    var t = this;\n","    if (!this.timer) this.timer = setInterval(function() {\n","        t.anim_step_forward();\n","    }, this.interval);\n","  }\n","\n","  Animation.prototype.reverse_animation = function()\n","  {\n","    this.pause_animation();\n","    this.direction = -1;\n","    var t = this;\n","    if (!this.timer) this.timer = setInterval(function() {\n","        t.anim_step_reverse();\n","    }, this.interval);\n","  }\n","</script>\n","\n","<style>\n",".animation {\n","    display: inline-block;\n","    text-align: center;\n","}\n","input[type=range].anim-slider {\n","    width: 374px;\n","    margin-left: auto;\n","    margin-right: auto;\n","}\n",".anim-buttons {\n","    margin: 8px 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onclick=\"animb0cf3752ac2d4df5bd86d6adf8a4d219.next_frame()\">\n","          <i class=\"fa fa-step-forward\"></i></button>\n","      <button title=\"Last frame\" aria-label=\"Last frame\" onclick=\"animb0cf3752ac2d4df5bd86d6adf8a4d219.last_frame()\">\n","          <i class=\"fa fa-fast-forward\"></i></button>\n","      <button title=\"Increase speed\" aria-label=\"Increase speed\" onclick=\"animb0cf3752ac2d4df5bd86d6adf8a4d219.faster()\">\n","          <i class=\"fa fa-plus\"></i></button>\n","    </div>\n","    <form title=\"Repetition mode\" aria-label=\"Repetition mode\" action=\"#n\" name=\"_anim_loop_selectb0cf3752ac2d4df5bd86d6adf8a4d219\"\n","          class=\"anim-state\">\n","      <input type=\"radio\" name=\"state\" value=\"once\" id=\"_anim_radio1_b0cf3752ac2d4df5bd86d6adf8a4d219\"\n","             >\n","      <label for=\"_anim_radio1_b0cf3752ac2d4df5bd86d6adf8a4d219\">Once</label>\n","      <input type=\"radio\" name=\"state\" value=\"loop\" id=\"_anim_radio2_b0cf3752ac2d4df5bd86d6adf8a4d219\"\n","             checked>\n","      <label for=\"_anim_radio2_b0cf3752ac2d4df5bd86d6adf8a4d219\">Loop</label>\n","      <input type=\"radio\" name=\"state\" value=\"reflect\" id=\"_anim_radio3_b0cf3752ac2d4df5bd86d6adf8a4d219\"\n","             >\n","      <label for=\"_anim_radio3_b0cf3752ac2d4df5bd86d6adf8a4d219\">Reflect</label>\n","    </form>\n","  </div>\n","</div>\n","\n","\n","<script language=\"javascript\">\n","  /* Instantiate the Animation class. */\n","  /* The IDs given should match those used in the template above. */\n","  (function() {\n","    var img_id = \"_anim_imgb0cf3752ac2d4df5bd86d6adf8a4d219\";\n","    var slider_id = \"_anim_sliderb0cf3752ac2d4df5bd86d6adf8a4d219\";\n","    var loop_select_id = \"_anim_loop_selectb0cf3752ac2d4df5bd86d6adf8a4d219\";\n","    var frames = new Array(50);\n","    \n","  frames[0] = 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   /* set a timeout to make sure all the above elements are created before\n","       the object is initialized. */\n","    setTimeout(function() {\n","        animb0cf3752ac2d4df5bd86d6adf8a4d219 = new Animation(frames, img_id, slider_id, 200.0,\n","                                 loop_select_id);\n","    }, 0);\n","  })()\n","</script>\n"]},"metadata":{},"execution_count":20}],"source":["anim"]},{"cell_type":"code","execution_count":11,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x500 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}],"source":["fig, axs = plt.subplots(nrows=1, ncols=1, figsize=(10,5))\n","\n","axs.set_xlabel(\"Step\")\n","axs.set_ylabel(\"Cells alive\")\n","\n","plt.plot(cells_alive)\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":465},"id":"FQuMOigSjsZP","executionInfo":{"status":"ok","timestamp":1691536976287,"user_tz":360,"elapsed":4,"user":{"displayName":"Jorge Mario Cruz Duarte","userId":"13516284558844055913"}},"outputId":"31874a3e-69c0-4e53-d3d4-6828051ca10a"}},{"cell_type":"code","execution_count":11,"metadata":{"id":"3JeYTB9djsZP","executionInfo":{"status":"ok","timestamp":1691536976288,"user_tz":360,"elapsed":3,"user":{"displayName":"Jorge Mario Cruz Duarte","userId":"13516284558844055913"}}},"outputs":[],"source":[]},{"cell_type":"markdown","source":["# Batch simulation"],"metadata":{"collapsed":false,"id":"tbQct2qGjsZP"}},{"cell_type":"code","execution_count":12,"outputs":[],"source":["NUM_REPS = 100\n","GRID_SIZE = 10\n","NUM_GENERATIONS = 1000\n","\n","model = GameLifeModel(GRID_SIZE, GRID_SIZE)\n","\n","batch_data = dict(time=[], alive=[])\n","for _ in range(NUM_REPS):\n","    start_time = time.time()\n","\n","    model.reset()\n","    for i in range(NUM_GENERATIONS):\n","        model.step()\n","    final_time = time.time()\n","\n","    all_grids = model.datacollector.get_model_vars_dataframe()\n","\n","    batch_data['time'].append(final_time - start_time)\n","    batch_data['alive'].append(all_grids['Live'].to_numpy())\n"],"metadata":{"id":"7ugPLA6XjsZQ","executionInfo":{"status":"ok","timestamp":1691537062171,"user_tz":360,"elapsed":85886,"user":{"displayName":"Jorge Mario Cruz Duarte","userId":"13516284558844055913"}}}},{"cell_type":"code","execution_count":13,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x500 with 1 Axes>"],"image/png":"iVBORw0KGgoAAAANSUhEUgAAA0kAAAHACAYAAAB3WSN5AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOz9eZB9W1nfjz+nzzl9evp87oUr3AsISAqVISGFoHBFK99ClKhRDGTAkMkiallEI7eMKcopGpWYUkEswGAIiamgJRQarYqgRZQMggODmqSCqBT3Mtz58+nhzNPvj/69d7/202vvs/c5+0z9We+qru4+Zw9reNYzr2fVptPp1CIiIiIiIiIiIiIiIiLMzGxn3Q2IiIiIiIiIiIiIiIjYJEQjKSIiIiIiIiIiIiIiAohGUkREREREREREREREBBCNpIiIiIiIiIiIiIiICCAaSREREREREREREREREUA0kiIiIiIiIiIiIiIiIoBoJEVERERERERERERERADRSIqIiIiIiIiIiIiIiAAa627AsjGZTOyzn/2sXbt2zWq12rqbExERERERERERERGxJkynUzs9PbUnPvGJtrOTHS+68kbSZz/7WXvyk5+87mZERERERERERERERGwI7rvvPvv8z//8zO+vvJF07do1MzsfiOvXr6+5NRERERERERERERER68LJyYk9+clPTmyELFx5I0kpdtevX49GUkRERERERERERETEzG04sXBDREREREREREREREQEEI2kiIiIiIiIiIiIiIgIIBpJERERERERERERERERQDSSIiIiIiIiIiIiIiIigGgkRUREREREREREREREANFIioiIiIiIiIiIiIiIAKKRFBERERERERERERERAUQjKSIiIiIiIiIiIiIiAohGUkREREREREREREREBBCNpIiIiIiIiIiIiIiICCAaSREREREREREREREREUA0kiIiIiIiIiIiIiIiIoBoJEVERERERERERERERADRSNpyjMdj63Q6Nh6P192UiIiIiIiIiIiIiCuBaCRtOYbDoY3HYxsOh+tuSkRERERERERERMSVQDSSthzT6dTMzCaTyZpbEhEREREREREREXE1EI2kK4JoJEVERERERERERERUg2gkbTkUSZpOp8nfERERERERERERERHzIxpJWw4aRjGaFHGrYTqd2nA4jA6CiIiIiIiIiEoRjaQtB5XDWOEu4lbDaDSyXq9n/X5/3U2JiIiIiIiIuEKIRtKWI0aSIm5liOajgyAiIiIiIiKiSkQjaYvhU4yikRRxqyFWd4yIiIiIiIhYBqKRdIUQFcWIWw0xkhoRERERERGxDEQjaYvhI0mxwl3ErYZoJEVEREREREQsA9FI2mJIQazValar1cwsKooRxTCdTu3s7Mx6vd66m7IQaCRFB0FEREREREREVYhG0haDRtLOzvlURiMpogjG43FSPnubQXqPtB8RERERERFRFaKRtMWgkVSv180sVvmKKAYaFNsagYmFSyIiIiIiIiKWhWgkbTFiJCliXlyFCEw0kiIiIiIiIiKWhWgkXQFEIymiLKKRFBERERERERGRjWgkbTGoJMpIihXuIorgKhlJon2z7e1LRERERERExGYhGklbDF/dLla4iygCb0hvK73EdNOIiIiIiIiIZSEaSVsMKolmFhXFiELw9LGt9MJIUqT9iIiIiIiIiCoRjaQtRjSSIuaB6GPbI4/sR6T9iIiIiIiIiCoRjaQrACm7sQx4RBHIkGg0Gpc+2ybEdLuIiIiIiIiIZSEaSVuMGEmKmAeij21PU4tGUkRERERERMSyEI2kLYavYhcr3EUUwVU2kiLtR0RERERERFSBaCRtMXwkKVa4iyiCLONi2+CrO/rPIyIiIiIiIiLmxdqNpM985jP29//+37c77rjD9vf37a/8lb9if/iHf5h8P51O7Qd/8AftCU94gu3v79tLXvIS+8QnPrHGFm8GqAhSQdzmyEDE8sFIy87OzlYb1THdNCIiIiIiImJZWKuRdOPGDXvRi15kzWbTfuM3fsP+7//9v/ZTP/VT9pjHPCa55t/8m39jb3rTm+znfu7n7Pd+7/fs8PDQXvrSl1qv11tjyzcL0UiKKApWhNvmvTyhg5S3tS8RERERERERm4fG7EuWh5/4iZ+wJz/5yfaOd7wj+expT3ta8vd0OrU3vvGN9v3f//32spe9zMzMfuEXfsHuvPNO+9Vf/VV75StfufI2bwq8F12Qohgr3EWEwP1I/L1thoUvY262vX2JiIiIiIiI2DysNZL0a7/2a/b85z/f/vbf/tv2+Mc/3p773Ofaz//8zyfff/KTn7T777/fXvKSlySf3XbbbfaCF7zAPvjBDwaf2e/37eTkJPVzFZG170JlwKOiGBFClpHE77YBISdBNJJuPUynU+t0OjYYDNbdlIiIiIiIK4a1Gkl/8Rd/YW9961vtC7/wC+1973uffcd3fId913d9l/3H//gfzczs/vvvNzOzO++8M3XfnXfemXzn8frXv95uu+225OfJT37ycjuxJsyKJMUqXxEheCOJf2+TcRGNpAgzs+FwaOPx2IbD4bqbEhERERFxxbBWI2kymdiXfMmX2I//+I/bc5/7XPu2b/s2+9Zv/Vb7uZ/7ubmf+brXvc6Oj4+Tn/vuu6/CFm8OsoykWOEuIg+3gpEUHQS3DpRWHOc7IiIiIqJqrNVIesITnmDPetazUp8985nPtHvvvdfMzO666y4zM3vggQdS1zzwwAPJdx6tVsuuX7+e+rmKyDKSzLZT6Y1YDa6ykRQdBLceNM/RSIqIiIiIqBprNZJe9KIX2cc//vHUZ3/6p39qT33qU83svIjDXXfdZe9///uT709OTuz3fu/37O67715pWzcV0UiKKArSw7anqc1KN92mvkTMh+l0mprnaChFRERERFSJtVa3e+1rX2tf/uVfbj/+4z9uf+fv/B37/d//fXvb295mb3vb28zsXAH67u/+bvvRH/1R+8Iv/EJ72tOeZj/wAz9gT3ziE+2bvumb1tn0tSNGkiLKglGkq2IkMSKm/8fj8Vb1JWI++Aqek8kkKVwTERERsWpMp1MbDofWbDaDulnE9mGtRtKXfumX2q/8yq/Y6173OvuRH/kRe9rTnmZvfOMb7VWvelVyzfd+7/dau922b/u2b7ObN2/aV3zFV9h73/te29vbW2PL1488r6kUhVgGPIIIpdrxf+3l2QbmHioBbpbuS8TVhudvcc4jIiLWicFgYIPBwKbTqbVarXU3J6IC1KZXXLKcnJzYbbfdZsfHx1dqf1K327XRaGStVst2d3dT302nUzs7OzMzs6Ojo61QeiOWj36/b4PBwJrN5iUnw9nZmU2nUzs8PLxkRG0i1N6Dg4NU9GA4HFqv17N6vW4HBwdrbGHEstHpdFKG0t7enjWbzTW2KCIi4laGeFKj0bD9/f11NyciB0Vtg83XhiKCyEu3ixvYI0LIiiSZ2dbRS9yTFCEDKUYPIyIi1o3pdBqrbV5BRCNpy5EVJYrKYoRHnpG0TfRCARTPCbs1wQhSo3GeNb4NtBsREXE1EYvIXE1EI2lLkRdJMtsupTdiNbgVjKQYRb01ICOpXq8n8x0Vk8uIYxIRsRrQcRPX3dVBNJK2FLMW4TYpvRHLB+ngqhhJ0UFw60JzG42kbEynU2u329bpdNbdlIiIKw9vJEV+dDUQjaQtRVQUI8ogL4rEz7eBXrLKfwvb1JeI+cBIUtyTFMZkMkn2ScSxiYhYLmK1zauJaCRtIfLSjQRV/JKgjLi1UdRI2gYPWFb5byEaSVcbPEQ2RpKyEfdIRESsBtSzIj+6WohG0haiiJEU92ZEELOMpG2ilxhFvbXBqnak220w8FcJjkUcl4iI5YHyNUa2rxaikbTFmHX+UVQWI4RZRhK/23R6iUbSrQ1f+pt0EBWTC5D+41qIiFgeQoVk4pq7GohG0haiqCIQlcUI4VYykvj5pvclojyokAgxxeUyYrpdRMRqsKnVNgeDgfX7/XU3Y6sRjaQtxCwlUdgWpTdiuWAa0q1iJG2SoIqoFtyPJMQUl8uI6XYREcsHD5HdNCOp3+/bYDC4VFQiojiikbSFiEZSRBkU2cNmtj2K5lUy+CLKgRukQ5GkON8XiOl2ERHLBwsJaZ+k2frlaFz/1SAaSVuIokbSpizWiPWiSKqd2fYomkXoPxpJVxOhVDuzyOs8/DjEcYmIWA78HslNcTZGI6kaRCNpC1E2khSrPt3aKGokbQO9sG3RSLr1EI2kYvB0H9dBRMRy4HnSpjgbyQvX3ZZtRjSSthhFI0lmUXm4lVEmkrQpDD4LZVMHN7Ufq8JVO0g0y0jaFO/tsjAajUr1LZ7ZEhGxGvg9kpuy5pYVSeIerFsB0UjaQpRZfFFZjChqJPGaTaWXuB+vOEajkXU6Het2u+tuSiXwh8gSm27cL4LRaGTdbtd6vV7he0LjdBXHJiJinQjxpE1xTnsjqaq2DAYD63Q6NhwOK3nepiMaSVuIoooir1m3VyNifbiVjSSzze3LsiEhdlWiSfJeMuIpXGU+p36XoWMWN7nKYxMRsU74g63NNqe66rL2JY5GIzOzWyaaFI2kLUQZI2nTld6I5aJo+W9h0+kl0n4xTCaTRJjp/21HVqqdWTSSPHzFrbL3R0REzMasPZLrXHP+3VUYNYycRSMpYmMRFcWIoqCydBXo5SoZfMvEYDBI/X8VxiAr1c5sc1JcloF59hYwenyVDciIiHViUwvJ0DnaaDTMrBoZcCtWzItG0hYjpttFzEKZVDtet6kMMDoIZmM6nSapdhqDq+D1mxVJuoq8zu8lKErLXCdXvahFRMS64Mt/C+vmRXSOil9WIQe9HLkVZGtj3Q2IKI9tVRT7/b6NRiM7ODgo1PaIxVHWSOK8TCaTwvetCmT+s7BJtD8Lw+HQ+v2+7e/vB42Ass8yO+//7u6u9Xq9jR+D0WhkvV7Pdnd3bXd399L3NBayaLJWqyXpIJtGt/NinlLePsV2E1J/Im4NaB3nGQd7e3vWbDYLP3MymdjDDz9sOzs71mq1gtc0Gg3b398v3d5FQINhEyNJakeVcjBkJF0VXpuFq927K4oyC2/di5UYDAY2mUyuhFd7WzCPkbTJxsW2OgjyMJlMEsXCp8mVBZ+xu7ubCO9NX3PD4dCm06n1+33rdDqX+BWjSFlzv0m8rirM47n1ZfKv4rhEbCa0jvPAvZJFnzkej3PvK1sivwrkpf+uO3pLuU85uGh7WDyH77nKiJGkLUPRc2IEX+VrXVY/F1MU1qtDGaNC2NnZsclkspEMcB4jSZ71TY1esrTzosaMlIVarWaNRmPjI4Nm5/NDBWg8Hlu73U5F1fJS7YSraAxQ2Sm6Jr1jZFucBRHbD9HY3t7epbU6mUys2+2W5nHiDY1Gww4PDy993263zcxWzuOLFJJZ15oLGUlmi40Rjaxms5k4va86Nk9iRuSirJHE6zalZv9VUmI2HWUjSWabQS9ZKFv+ftP35AwGg1TbWD1o3ueZnQsxjdGmjwFTKA8ODmxnZ8em06l1Op2kP1m5/8S6vbfLgPqtzddF+ubTEjd5PUdcLTC6IgVdPzImmA5a5pn+efpZF31vcrVNzwOqyCggD65yn9OmIxpJW4qykQGzzSlHeSssrE1A2fLfwibQSxbKRsY2uS+TycT6/b6ZmbVarUTwlE1HEcbjcdJP7uvZdIGm/tbrdavX63ZwcJAYBf1+37rdbm5qi7Bu723V4PrVHo4iKTN+3148MyxiFSBthfgzUz/L0KFP8fJYh3Mk72Brs/UbSVk8YJH1T6Nw0x1vVSIaSVuGedOneO86cJUiScPhcCtOmy5b/lvYVMNinijqqpn5eDy2wWBQiMaVZlev1213dzcxDOZtayiKZLa58yn4aEmtVrP9/f1kk7aMKEYGQ1i3YlI1qBz6lJk8hKLHV21slg2t44jiCBUL8ZiHF83KhliHcyR0iCyxbp1rGSm3WftCN1WuVIVoJG0Z5ll0m+BhvSpG0nQ6tV6vN7OCzyZgnlQ7Xr9pzI8OgqJG0qqjKL1eLyk+kPdObUY2O8/fN7OFIkk8PNZXh9vk4g3T6TQzbWV3dzdVCXNW1b+rZgh4T3XRdRlypK1bads2dLtd6/f70VAqgSKVR8vKFl43y0haJW3PSv9dpxERiugtKtN95GzTCzxViWgkbRkWiSStk5ipoG3zotqmfsxDK2abm55Tpvy3UGVln1mgIJlMJtZut4MRR1WzMztPs2PeuPpW1qDRe5gKIfgCFpuErGiJUK/X7fDw0FqtVmb5X+GqGQJeESvKx/MiSZu0njcV4/E4oaF+vx/HrCCKOOXmMZKm02nu2l7Hut/kQjIhZ+KiOiBl761WECYaSVuGeRTfdXtY/SLaZiVmmyJi80aSeM8mMcB5HQSrUhBDB/iFoo4+zY6YJ5rky357bHIBC59qF0KtVrPd3d2ZdEw+t+lrswiqjCStWwZsE/waYfXJiGwsy0gyy+f563AAlNkjua7S5JyHRR2fIaNwE3WEZSAaSVuGbYwkhRbttgrrWyGSxHs2aZ4WjYwte74oSA4ODhKDZTgcJul3oTQ7Yp7UOB4em2VsrJsHZIFFGxYF6WKT6HYeMCpZxnOblZ60qfO/iRBNqlhG3J9UDEWMJKY/F1mjmxixYds3qV1C1jwswgOikRSxdZgnkmS2HuWBi3YZXp91eJDmee+qPdyLGEmbyADn7c88hsc8c+WFU6vVsv39favVakn6XSjNjmDxhqLvZ8GGLGziviQaAnmRpDLYROOemMeDXsZIylojmz4uszCZnB9CnvVTVb+4R67ZbCYpnjHtbjaKGEllK9xtYrpdEcPNbH3pv1kVbReRAaE+b6JMWQbiYbJbhnnT7Wq1WqKUVOG1LQMyTzG9qhjHcDi0Xq9nrVYrmGpUJfwZNmWFZq/Xs9FoZIeHhys51DOm252jbF+m06m1222r1WrBwwuzEBIkjUbDDg4OrNfrpfaYZNGqHAlS1mYZDzw8Ns9I2sT5lMc+rxpWWWjsNtEY6PV6NhwObW9vL3euzPJTZvIOR16GF3mdUCrprEiOoreLwqfM1ut1G41GNh6PrdfrVfKOq4giBRb4vY4rmKWLFDW8zFZ3aHhRI2ld+wCzUhTn5QGMnIX2OeqaTTyovApczV5dYcwr/NfpSSSjq9q7Ioa1Cm/GonurVtlWs2oiSZukbM5z5pNZeY+XPNPyXhdtW56CqvS7er1u+/v7uc8qUwo8q+y3R9k0l1WgyH6ksthEujU7NwiVFlnk+ICQIlbEC5+1RrYxkjSZTKzb7SY0rv77H7P0GWGLIJT+qbTYmHaXjTIOubIFSBhJCmHVmTJFDrY2uzrpdlnlzm+VCncxkrRlWMSbPplM1kLMy0y3YzWxZcNHxMq8k97t8Xg805O8KOY5U4jYxGpYVVXrmyXcaJyMx+NCkddQepTHrOpsQr1et+FwaKPRKPcepRqZ5afaqV3rjCaHUOV+JGFT6Zab/2WE59FxnqKT54XP8iJ7RXLZ3vZFMRqNkoIntVrN9vb2Mo3pTqdj4/HYRqPRwtkEIcN9Z2fHWq2W9ft96/f71mg0rqzXfF4s00gq+sxVVzDdxCMJqGdUZSTl9XedeuWqEFf6lmFRRXEdXo3QIXNVtWOVRlJIgJbdY1DmnkUwz5lCxCaWjS5S6SgLZaJJrCxXdn6rUJ5EX7OEvrzaRZW2TapwV3Tzc1lsYsSk3+8nyr7mYFY0KSulZ1b/suiw7F6QdaLf71u3200iCAcHB7nRRjkIFj3ge9aZXaxYGZHGqoykLLpfFW3z/UXSCv09y0aec3TeCnd56YW3QiQpGklbhnmNpHXnx8pAqlKJ8Qr8qko8z2PsrdpIWsSg0H2bplStohCF33dWJkWP71kEVKazSoFPJtmHx2Zh1Qfr5oFRpCqjGptmJDHNjnuR8kq85+3vmEXHeWtk08bGYzKZWKfTSaWQHhwczFxTdCosQtuzzuyKaXfZmNdIyqPFMjx1VbRddD8S27SOwlJZYzbP/txoJEVsJTa1DLKHX7RVtsM/Y9l9I7OY97wHs9VEZxYxKIR5BM9gMEi8wFVi0fTBolEUKa8UcEX6UjQFoyhm7Uvi4bFF37lJAq2MslEGm7QniWl2zWbTGo1GoeqFecrhrDnMU5I2af49ZCCxPP7e3l6htc5zycqcL+ahe/PK6Mdqd2GUNZKKGBAhR1/WmlnVui/Tz3VUFa7aSJqVRr7JPKUqRCNpy7BthRv8oq2yHas0krx3dxEjqcx982LeIgfEPAyw3+/baDSyfr8/93tDWNRIKhpFYUplmfS0KtPtzPIPlZ1Op4mRVGYPxiaVbF1G0QazzdqTxDQ7KdfkHXlRQrPynttZa2STI0nD4TBJrzs8PCy9Z1N0tEjKXRHDnYcaL2KQXSXQ6VeUNxeRLfMYJKt0lBZtk9nq1twsuT9PESPe50HjdBN47jIQjaQtwiKK4rr2mFwVI8kzi003khZNtzNbrI8qPFAVFo2MFWXm9CYXFSh+310V0LtD7WXZ7zJGxrw56VWDUZSqN8BviiEwHo9TaXak21l7aIpEg0J8nGs+tE422eurNjWbzbloQmM6b8od19msNcX0vohy+3T8dbMiombFeP6q1n1ZZ9iqI9uz5H5ZHjAr5fFWqHAXjaQtwiJG0roOlM1Kt+N3VT17mf1a1Njz3uFVRZKqMJLm2XdlZkl1qiqwqFJdhJn7YgJFI0mhvWqLgilE/v3aDzFPJa9NiCYxilR1lbV18TkilGZHzEq5y/Pe5u0VnLVGNsWADGHRSOyiKXdlzuy66kphWcwzd/Omjc4q3LBsHaCsHFp1ZLvqdLsikbOrvh6ikbRFqMqbvipizipHWRVDW6Xh4T0qZcaS15Q5A2cRVOGpL8vgOR8qN11V2t0qImMUCHlGSt59VSKk9I1Go5TXvSw2QaAto/S3sAlG0mAwsMlkkkqzI/JS7vJK+PJ+s+zo9Cwv8qYZSXlnjJWBeOs8RlKZ9M9NcDRsElZpJM37vCowjzNs1Y6JokYSr817VpEKpJsgU5aJaCRtIapIOVoF8g4hq6IdPj2i6Cb7Rd7l0+2KpC9S6VlVJGmd6Xb1ej2pBDUcDitRJqqIjM1SbrzyTsFQVe58GYQM6qKHx2Zh3QoeqyVVvR9JqILP6dydee7THOUVHsjaQ5PFM4msdVk0krRpysw86VohyGkwz8GyZQz3TUlbXRSTSfHDsmc9x2x+Iym0TvnMIut4Fc6ReZxhqzSSimYaFZXrRY3CaCRFbAwWVRQ3JfRbxaIiQyDTWgYzCoXZy5QzD1WIWfbesCqr25mVi5jt7OxYo9FIlJYq0u6qTB+cFUmi8l7EqFhFpTYpfnrXvIdmrlugzSqzXAUW5XP9ft86nY51u91StDscDq3T6ZhZOM2OoEIfOsYgb2zmjSRtQpQthKrWz7wpd0U95sS6nQ1VoNPpWKfTqTztvQh4bZmU01npdnnXLIp5+rlKI2nWnkShqAwoui7XLVOWjWgkbREWXWirJuYsplIF4/AMYZl9y/KoFFXG/P3LNlYXrQTHe8vMlZ/vVqtltVrNJpPJwml3VUaSQt7LrGICs5ShIulR84KFGRihKHp4bAjrrka0LIOSmJe/TKfT1Dk9ZheGT95YaQ+S9iHV6/Vgmh2RlXK3yB6AWUrcJp59ZlZtJHaelLt5zuzadsWQfGvRQ3jnnb883lo2ksT3L2tO5jkLb5XZO0Xnoehe27JG0qqLgq0KazWS/uW//JcJ49bPM57xjOT7Xq9nr3nNa+yOO+6wo6Mje8UrXmEPPPDAGlu8XlQVSVp3fmyVRtI8e4QWfZcwT9i6zH3zoqhHqQjK9DEUbasq7a6qyFiWkphVTGCWkcTISNVFCPh+Hko6bxTJbP3ViJadamc2H38ZjUbWbrdT5/Ts7+8nRn673Q4qk5PJ+fk+nJuDg4NCtBBS6BeJJBVZI5tYvGEZRlKZlLt5DPdtjyRx/hepQrqIk2iWsW9Wjt8vk7bZz3nS7VbBa4uuoyIp/0yLntVfypRtXQ95WHsk6dnPfrZ97nOfS37+5//8n8l3r33ta+3Xf/3X7V3vepd94AMfsM9+9rP28pe/fI2tXS+2rXDDLONiW4ykLGaxqUZSFQaFsGj+clVpd1X1KUu5ydqTkBd90ueh+6qCby/3tc2LdQm0MoJ3EZTlL/1+PzkAeWfn4pyeRqNhh4eHSVsVLdJzR6NREmWq1Wq2v78/M4JEaF2opDuje3njE0otKqqsbmIEpEojieujqPI/j+G+ieNYBj7Fc95+LOKQmycimreml2kkzesMW8eepCqqM4a2CCz6zG3F8tx5RRvQaNhdd9116fPj42N7+9vfbu985zvtxS9+sZmZveMd77BnPvOZ9qEPfche+MIXrrqpG4NtiCTlCe0qvCubEEkquydp1UZSVUoHn5mFPMHWarWSqmyDwaCUIilU1afQ2Ocp7xIS2g/kFal5UjDKgJUCzRaLIvGZrJK3KnCsljVeZsX5y3Q6tW63m7Sr2WwmKaJ81sHBgfX7fRsMBklEtF6vJ9EjFSqZx5Mu2hqNRsH9jln9E01MJhOr1+uFU2w3LZJUVWU7otFoJIU3Zq0XptmWMdx92uoy6XkZ8GtjOBzOxZcXmbt500ZnPW9Z+5LNyjt31rEnqWi6ne4JXV9Wrl1lI2ntK/sTn/iEPfGJT7S/9Jf+kr3qVa+ye++918zMPvzhD9twOLSXvOQlybXPeMYz7ClPeYp98IMfzHxev9+3k5OT1M9VQVWRJLPVVlfz7d2mdLs8724ZjwyvX3aqxqwN3GUwz76r0DOUdjcYDEr3mwb3MiJJHK+QEMyLvCw7ksRnc4/SIliHQJtOp8len2WOlVkx/qL9R0yvy6tG12q1Uul3TK/b39+fW0lmyl0ZxcTPYVkFadbcd7tda7fbS1fuqqpsR5RJuZs3/XPdaauLws/rvCl3izivOH5li5eEUNb52uv1CtP4om0y26yDbvNodzqdlj6mYZvXwiys1Uh6wQteYP/hP/wHe+9732tvfetb7ZOf/KR95Vd+pZ2entr9999vu7u7dvvtt6fuufPOO+3+++/PfObrX/96u+2225KfJz/5yUvuxepQxSJblWcjL62mio1+WUZS1ZsH84y9MkYSGdeyNzquO90uhEajkSgi3BhfBFUVojALC+ZZAiHLqF2GFzwElfv2UY55MSuFsGqMx+OUQTLP+U5lUITHSYGu1WpJet0sNBoNOzg4SKJ7Sq9bZE6YclcmFdGvy6LKapGxUWRLv5eJZaRflkm5W+TMrm3eh6H5F/3Nm3K3iEOOtJplJHk6rTLdbjgcphweeZiXTldVLKXs3rAsuT4ej1N7M4vy6qtsJK013e5rv/Zrk7+f85zn2Ate8AJ76lOfar/8y79s+/v7cz3zda97nd1zzz3J/ycnJ1fGUKqqDLIUhGV6dGdFFoTpdFq6P6HoDFNQ5nlmFvKYY5F+hMYhlC5TJZaVbpc3rkWMhd3dXRuNRokCVrR9yzD69NxarTbTm5y10bVs3va8aDQadnR0VNnzlk1/xHA4TKq+ybBYdiSpSNqNFKOylQJ3dnbs4OBgsQa65zHlTp8Vuc/sciSp6H6EvLGhYTEcDpdq1C7LyVAk5Y5ptvNEaNeVtloFOO71et3G4/FcKXeLzp/ePR6PLxmdZflEmXQ7ztmstMxFnWHUS5aFso7EkFEzGAySKrTi1WXT7arWvzYBa0+3I26//Xb7oi/6IvuzP/szu+uuu2wwGNjNmzdT1zzwwAPBPUxCq9Wy69evp36uCqoykvisZWEWU1kkojWrIESVQmuWsTfLS7TKtvp3VpluZ5Y9V0W9WPV6PRF8ZcrOVmkkqR1mF/sRZgllv/9AWEUUaVlYdsrndHq5LDaLICwTs2iW6STLjmoVgVfQ54kkFaXFIl5trk1/jlPVWKaRZJafcrfomV3b7D0nT2U0sywWnb8sOlbbytBemYgNr5mVlrmoM2wV2Ttl58HLwG63mxhIvmBNEVAX2sbIah42SrqfnZ3Zn//5n9sTnvAEe97znmfNZtPe//73J99//OMft3vvvdfuvvvuNbZyfaiqDLLZ6vYkZS3aRYy1WYUUquxbUQV6k4ykqo2KWW3lXopZ75THbjgcFp77ZfanSDEB7lWiAFhFpbZlYdlGOstit1qtwmWxq0IeL6ByvAlz542keSJJRdfILAOSaVd6xzJT7pZlJBVJuVt0/a46bbVKkF5Ef2VT7sqmeIWQZ+yHaLlIut2s6/geIY/GF6XRTTSSOO6dTifpP/delkWR0uLbiLWm233P93yPfcM3fIM99alPtc9+9rP2Qz/0Q1av1+2bv/mb7bbbbrNXv/rVds8999hjH/tYu379un3nd36n3X333bd0ZTuzaiJJ686PXcSgqcLw0Ebyer2emWpRJMzO9MWsZyza1rKoMt1Oz8kToGUYtM4hmk6nNhwOC1VrW0YkSVXKila2YloI8/jNbr1IEs9syvrebHXpdSHkpbiofcs8q6kM6vV6ssbKbpQ2Cxs2WZiVask9OvV6Panot6yI2zLXkFLusorFLHpm1yrTVquGN0bE34pUBPTPmKf8tzBvRDSEMin3dJQospzV70WN6VVk75SVkbxOezMX5dXbHFnNw1qlxKc//Wn75m/+ZnvkkUfscY97nH3FV3yFfehDH7LHPe5xZmb2hje8wXZ2duwVr3iF9ft9e+lLX2pvectb1tnktaLKSNIqvBp5zHORdmSNQ5lFOhqNkgICh4eHQaZcpPJSXj9oZGW1terQtE9XqAKzmHxZwba7u2v9fr+QkSRjqszzZyFUvKGIkWR2NSNJZXPIi5x3Va/X5/ZIVoGsdblpqXZCo9FInDZFQedFGdmQZ0Byr5baJGdC1XMZ2ltaJRqNhvX7/dSch7DI+tW+JJWF3waE9q80m81kX1JZI2mRuZtlJJXVD2i05rVL75EsyqPxqiJJyzQeyrZRqYOTycQajUZuZc+iiEbSEvBLv/RLud/v7e3Zm9/8Znvzm9+8ohZtLqoyalZByEVK2S4j3a5M36js9nq94GbsIkpw3jvzjCw9s+qNjlVHXfisKiJJZucCud/vJ5vV8zy5g8Eg8XRVcUYQ20lFcZY32RsVRQzoTYY8yGW94FTIszZ57+zsrD1Kowiv5y9UhjZJqW21Wqk9e0UgJYe8rGiqXigyzM9UUZFFJao2KpcdiVWRjTxHlKJ4i7zDbLsUw5CR5FPuioxJlUYS3533zFn6QlHnq97TaDRSVe5CMmZRZ9gmptuZme3v7ydGUhXYxrVQBJuRbxAxE1WVQV60slwRaJEUOTW+7ILKS4ErU2GFnkWlZHgGWYTx5DGGIkUfqk7VWIaRNO++qyzI4BkMBjYYDDKZ9GQySaJ9VZW/1vul/KndRaqCab7mPYBy08BU0TJGku6tymhdBrL4y6al2hFl2+T3DJVNtfFKG1PtqDwPBoOlGEmriMSWNTzneb7Zdm1WD/HreVLuqjJyabQvGknKco4QPoIpp12o31VkZqzCSJonxT5vH+48KKN/bRO2zwV6i6Iq5bdIRbZFUYR5zss48jz4RfsW8oYrskGUiSSF0leKFq+och6W4Z2dFS2bh0FL4crbz9Xtds3sXFGrWkHjnBZVTrkxdZv3IwnzpHxuS4phiL9saqrdvPC8ruym7SwjieuBlc+qVvKu0hrapuINWbqE5rpo5dGq5o8FNhbdT1tU/vMdrIQYijzr2kX3XS2LPiiD12mYrEK3XAe2lztdMfjywqHvzao9K2aWt2XeRV0mAlP2HVUYHvSY7u7uJkxa5YqLvsssv6LOOoykZabb8fnCvJt3mZIVOlyWaXZlz+4o+n6hqMJPr3GRlNJNxzzViLZFsQ0ZSVWl2s3i1atCViR9FkKKDNP2aEDS21ykyp0irUWwLbSUByrPm0ATRZAlI8pWuasykmR2QV8c09CewjwUcb76dufReJGsmFlgm5ZhKFVRQKMqbGNkdRa2lztdMXS73dRJx1moYhEU2WPSbrcTT34ZFI0szMs4qjA8vDd8b28v+VxeNBqJs4RA1juvkpGURTOLRBayyoFPJpPkzIZWq7UUJWpRI6kK4bluzEN/2xJJCjlhqkq1E69et1IciqQXQUiRDKXaCRqvIkZSr9dLlX/Pw1Uwksy2by9Gllyj82DWXFeV/s925Mnbou8o4nwN8bCsKFoVNFqmNPk82KR1pDZon9dVwPpHNSLlmc4SLlUurlmMxFeaKYOiXo15GUeVRpKE/87OThKt6PV6l9KpiuxXCb3zqqTb8Xll+5gHbppmNIkHkC4rLUopfGX2OoVSKzdBMM0L9qcIDW5Tv71Rz1S7RY2kRfhjlZg3khRay3ljUzTlbjgcJs+ZpWT7fSHbjHnSVtcJymiPogZxldGLInRc1gFQJt3OLDvlriqn0DL3JW1Cqp2ggi9ytC/zjLVVYbu50xUBFcQsoqpyIcxiJHpXlZXnQpgn5W5RwyNr071PuyvDHLP2P8xSKJdxGOGyGGbWXC1qlPloEs80UYRvWdjb2ytVfMCnaS2Sp74JUAELs3IVIbeh394Jw1S7RY2kRfhj1fCb74vAjw1T7UJjUyTljtFfXVcm5WmbsW2HaObJiCJ7Rc2qnb88I2kV6Xb629N4lU6hZe5L2qS1tLNzXlFSa6Lb7RY6MmKTsf5RvcUxmUxSgicrp3sZe5KKeo/LYB7joso9EbOYUZ4yEEq7K2Ps+Rx/s9lnRVWdz74sIymrnYsyaB4uOxgMEkVrb29vI5i+hxes244yOeSbJIxnwRsCVUWRNk3Yz0OP5Dscm7xy2LMiDDqPqOgepm2ipVm4Kul2ZsVT7qqev1l0PK8DwCMvgikal+yv0im0zH1rm7aWdnZ2bH9/P+UA7Xa7W7M+PDZjVG9haEEytSiUcreMSFKWwF9EESizYMuGoIt4dmbtdaJC4MG0uzIepDwjad79TPNgmelQoXZW8T6ef6SI6jLT7BYF6WbT9+UUwbyRpG1AyBCo0kjaBINpnkgSr6WTLm9saCT5fjPNbn9/v1DK1rbsbSuCsmmr60Zeup1ZsZS7VRlJZfWeWY7HvHYzisa5rKKPq0i32yS+rIJLOlB8PB5bp9PZyvS7zRnVWxDT6TQxiHZ3dwsxp6qr24UWbZ4iMJlMrNPp2NnZWfCnjCJVNgS9aHSGUboshYBpd2bFhHiWAaH2lL13XlS5mdZj3mhZEXiDaNlpdovAp9utG1qPRcv2eswTSdoWxZabiKtKtSM2yUiap7qkWXo/bN7YMMpE+cQ0u93d3eTMORlfs/a9bsIaWhRl01ZD0B6OeddxURSRETQWsvhC1fMnnpIVtSljZORdm9duHwWt0pBfppE0y+hdJxqNRpJ+N51OrdvtptJytwHbz6G2GBLeOzvn5ZBVWSiUcreMSBKfG3qX/3s0Glmn00k8LaEfPb9MJKmoYFm02pzGdFb7pKSHKj2FEBrPdUWSfHuqQihCV1VkgdGkTU2zE3Z2dhK62ARjQYrMvMrVLIeJULVndRUQzWpsqjCQNsEwIkSDZWnRj01eqp0QcuIxzW53dzf5TrSSt4fJbHtoaRYWLX2samAaz2WBMiLP0ai57nQ6wSMalmUkeTqeZyzynK+z2s2Uu22IJJHeNnUtKf1Oxvc2RFuJzTt2/BaCBJSIR8xpOBzacDhMMYyqF9fOzsUp135xhTZL9vv9lEDNO7umaA5vWcZR1GOys7MT3Hha1DO0s7NjR0dHhdqk9si4nUwmVq/X12okLYNZ+hQIVbAxq8bT1mq1rNlsbiyjJ/b3981sMzx3i/IF0u54PM40JLj2tmGOzLLPgVkEm5hud3R0VJoWPe8tMjaNRsMGg0ESIRqNRokRtLe3l9ARnzcajS5Fiq9SZTuhikiS2UVq6LLSjYvK0L29Pev1ejYajazf79t4PE7meBnzV6/Xc+l43lRSj1k6QLPZTBUPMqu2OMWyjKQqI+TLQK1Ws729vSQYsE24GhxqCzEajWwyOT8skwwxK+Wu6ihB3qL1JTC73W4qLXB/f9/q9XrmzyLndeRhUcOjzL6EedNXfHngMm1dlIEuO+w+bx/LPn/TUUXZ26qxCO0Uqc61jZ5/zlFVkb9NM5LM5lvvWZvW88Bo03A4TKXZaWx95dBQyt020tIsLBpJ4n2hyE1VKKpH1Go129/fT5yho9EoOcdxWfOX16ZZ2S+ha+eJJDHlTs+qMpJUdRQlb4/1JkKFmrYJV4dLbRnECFVXXqCwIeOs2kjKW7R6FxkjmWbVhlpRxrGIkcR0oWUwFJ+OViY1sCoGusx0O7PlG0kR6wH3p2RhGzfaky6rEs6bYhgtCi9ziq5hGVM+zc4jr8rdVeQbRdNWQ/D3+Iq3VaJstsHu7q4dHBwkUUKm361i/uaRaVlGUtEIGB0GVfVxGel2RfZYRyyOq8OltgjcEOnD6swH5j6DZUWSFE73P71eL6lvv7NzXvu+6oVYxjtkVt5I4iZi7p9ZZjqaUhjNikccZhmLKo89a4yWXeVmXkMwYnmoQujeCpGkqnjXJkaS5oE3IIvCX6sULIFjkpUVsY20NAvk9WWjSZQXeRVuq8A82Qb1et0ODw9TB66abe78ZcnTonRHnawqp1BZXacIiu6xjlgMcWTXAG4kzitFGfImLSOKMxgMLv0wNe3g4GApi7AM4ygbnTE7Hz9VU1l2WDpkJBUds1lGks4PmiU4V5luV1Vlu4hqsIjgLZLyuc2RpCqLbFwVI2leA5JRJ18JlJhOp5llw7eRlopg3kNlOR6Kyikdv2rM62z16Xdm64skzZtuV8bJqmuqNJKqjiZd1XW0aYgxuhXDl/0OwafcLYMZqfhCiBHr/Y1Go9L0uhDyCkgQi0RnmGq3rLD0Mo0kburNwyrT7a6iN3gbUYXAVconC48Q27rRfmdnJ6mWGA35NKT0mpWf0729PRuPx8HiAqRHGVRKH/PVrbaJloqgSNpqCBwPVbodjUY2GAwqPw5h0ei/DOO8Ii/rxqJGktl5cZ7RaFRpH8ljq6D9mGq3GsTRXTF4YGaWB0Apd6oeRGFU5Z6kkJFGI24VKOpdmcfwUPSJHvJleV3Yj3UbSctSPph3H71Ym4VFjSVWhPRzus1zXXWVsKsSSTKbX7nKkl2hsWFFvGazubUGdxFUEUkyO6fZ0Whkw+GwcidlFdkGebrLssAqnLNAuqJBUkYuZ+21WwRVRpKiDF4drhaX2nDQAJklvJmbvOwIAREq/71MrMJIIjNZdpTFrHzO9qx0pyJCl+mIy+oj52rT89IjyiGvOtdV9fzPg6tkJC0ToVLg23jWVhnMU6k0NCZMw6/aYblKXaIKzKq+m4WQXrFuo6JKI2nZe6wjLhBHd4WQoPBlv0MIVbm7ikZS0fMDyirlrBi3qjKZ83is/HXy5uuH/+eNEb9bppHEM3V82yNWj6qU9rxoZpzrC0TDKBuhsaFjivtsriIt+bTVIsg6f0xRjCIFe4piFTJiWVj0HDDOx7r6PkvXKTPP21b6e5tx9TjVBkOpdkXCuKEqd+swkpaNIuWvB4OBnZ6e2mg0WjiStEzs7OxYt9u1TqeTGMNFobZ1u11rt9vJz+npqZ2cnNhDDz1knU4n8/5VVZrzfbyKys6tiCKRpCiQV+9E2lZwXFiI6CobSWYXx2YUPesoazxUsn46nVZWDnwbi+3Ma9jlHVexrr7n6TqTycTOzs6s1+sVelbcj7Q6XE1OtYGg0lw0T95vdF3H4t6EdDtGU+ZJYVuVkler1Ww8HifGWZn58udlCTTydHhjCKukEUa1tkXYRuTD5/Hz71jq/QLRSMpG1lgw5W7dKU/LxHg8TgyaPF7t7zG7vLaWUQ58m3l22RLaWZGkdfIwHrDsDV/RQZGiH6vUaSJi4YaVoVar2cHBgU0mk8JMah0LYF3pdnmRJDGOMoaHIknCMvcj8Z2hv4ug2WwGjWeV/z47O0uMxdCzVyUAF+ljRPXw6XaLbsjWGW6h1NFtVK6qxLz7I25FhHjvVd6TNJ1OrdfrWb1et+FwWLjCXZ6yu7u7a4PBIFmTi+oD22YkLbK2NtVIajabNhwOrdfr2eHh4aXoUpE+07DelrncZlwtTrUFKLNImXKn/5cN7zXelEiSv74I5j0wcV6wbVXNlRTfer2em3qxKm//MvoYsRkIOSw2QbnYRETav4w8B1vo0PSrBB1azgp3RfYl5a0vRpOKpu/N+65twDyyf5OMJDNLqhVOp9NUtFHtZAGmLPAMy4jlYztXyy2EdRlJqxJiRcLo8xauoAG2iqgc21cVM2aaYZ6RtKp0u2X0MWJ+VFltLXTOy1VOjyoL8saqD4a8CsgbC8qxq+YBH4/HiRHTbDZnOrSEIqmsof1c82LbIknEvOl2fk/SuvlYrVZLzr4aDocJjXBuixaxWndfbhVEU3TDsc5IkvbXLBOsmBZKF6JHrmz/JXgUiVk2lhFl4QZN5fSHxmlVAjAaSVcXoXNeNsUDuwkIbSKPRlI2yKeYcneVaElpdmbpYzuUukpMJhPr9/vJgaxFUll1JtF4PLZut5t5XaPRCBaEUrSi1WptnZFUVbrdpu2hbTQal9LuihpJqzjzMSKNq8OtrigYcl+FcAkxk1Wl3GVVfZG3ZV4jSZ69ZYNlXKuMJPnnhTbyrjLdTvOwCQInojowRUU/m+KB3QSEIkkRF5i1n1Vy7CrRktLsarWatVqt5FxDRQk4BvpM/LtoREDGj46ECP30+/3g+A8Gg6SM+LY6POaRN+Rlm7iv0qfdFc0IYOnvTenLVUeMJG0BWq1WEsZfNtZRySrPK9vtdhPvY9kc3Hq9bvv7+yvty97e3sIb6AVWtjNLV8fxXsNVpdtNp1Pb399fybsiZqPKdDsZ+VLGqJzEuV6PA+kqodVqWaPRuDJGEtPs9vb2UlEzplH5CG3ZfTKNRiMp+hSClGy+i8/XOzcpmlIEi5wnxD5u4jlvSrvrdrvJ/IUi+R6x9PfqEUd6C7CqdDGzbEVgmYw1K7WPXrdWqzXXs1cpkKtOJfGbOBuNRmI4cU7mPUti3jatqqhHxOohI4mC+qootYsi7knKR5HKqFeFlphm12g0EqU1JMN4MDx/l9lborS7EFRS2lfAyyrlvy1G0qLw50xtkpFkdpF21+v1rN/v2/7+ftLmLMRDZFePzaKaiI3BKhWBULqdhNB0Ok1F0cq0pUove1lU8T4JNqbw6W9uCl6lkUREBXH9qJrGeajstqbnLAsx3S4ftxI/YJqdNuITUnaZCeArmFWVtREquGKWlqf8btvW87zp3aFjDDYN2is2mUySqGSRAlbRSFodNo9qItaKdSgCIWOMebpMLSsqiHWdzwtfJhZRWEPVkHwxi+l0mngsuS9plUJgkbH0SkPE5oGKxSamqWwCSMe3kmFQFld1bLLS7BghouHiI0iknyr2ydCxQUj5nqf4EZX2dWGRdDuzy33dRD6mvWxmlpyvldW/GEVaDzaPaiLWitACXbaw8+lbTLPb3d2dew/AaDRKQtmbLrD7/b51u92UoaRIEg1WGUkh4bvK6of+7yLo9XrW6XSiobQkVBlJiqe6X4bGV2uVKUwRqz+IfF2Q8cA0O7OLQgn9fj8p4GB2wavJr6t0bDHLgmOuiniUK0VlxI0bN+yRRx5Zu6FkNr9c2wYjycyS/dY7OzvW6/UyxzyW/l4PNpNqItYCn7a1jnQ75no3m81LjK1MJKnMKdZVYBEDwp/noGf4PUCsoCfBt65c8yr6GDE/lkHXoQjypioXqwaV3FqtFun4FoXowB+QS8dCyEgiqtwnQ5lAB5TaMM++nND5PauGH7N50+3096amyE6n06Q413Q6TRVz4DWxaMN6EKVfRIIsI2nZoDEm5qAwtDcAyiiGZQ5oWzdCBoSErp8Ln3K3Lel2EdsB0lH0Wl5gHVH2bcIivHqbkJcGxvRoybJQynfVUQGfcufTt8scyM6I1CY4ArLOBCxz3yY7eiTjj46OkuJMg8EgiVabpedvk/tyFRFHOyJBVkRiVZEkswvFX5th/ebWMpEkn462bCy6J8nf5ws3qE/yYPo0jk1Pt1v0vog0lpXeRMUtCuQLhAqkRFq+wLoi2utCSE7SSKrVakmBB++wq7riWshIYlSpzJ4kppFuUiSpLLbJSDI7n8O9vb3kGJHxeGydTiepXGgWo0jrwOZSTsTK4YXcKtPtyNCazWbiUREWYXKbrshkGR4UbJwLX+VuW5STTZ+HiHPESFIYVIJVvSzS9GVcdQMyq180LprNZurwV19ox6dOLwpvJI1GoyRCwc+LvC9UkW8TsGi63SbC6zi1Wi05F2tnZydJvxP9RH68emwm5USsFfOW3Kzqnar2QuW/rOD1CswqmP287wvdR4EbYvDyKEkYZl1XNWIkaXMRI0nVodvtWqfTSX3mIwWbgOl0au122/r9fvC7TqeT7PH0CPWxCPr9vrXb7cxIZhavHo1GdnZ2dqmK57ZhMBgE+08+rP209Xrd+v1+ajP+Mvg1n0WjzFfZKxpJEjaBV1/ldDvvCGWbDw4OkqwR9TkUSep0OtbtdlfQ2lsTm0k5EWtBXq71sqHFHyqpSgY3j/GxCYw+DyGhpMITnnHqWjHPVUeSqkgpjKgGyxpPRSoZsbyVMJlMkhSXUPGXTTpMVm1kpEJQyk7Wd+pj2T7IMZNVpTKLZsSrtr26ZVY/mDZVq9WSjIjJZJJSYjXmVUcFGE1iNTsVGWFkKQ+hNL11oIp0O0VnNpWP5WXv6AwubT0QXfn7Nd/r5kVXFTHBMSLButLtzM4PVfPlvrPSzYpgmyNJMpB8ah2hzynENsnDHbF6VEnjh4eHlT1r2+BTo7yTxu+P3IToUijKlUcPnufM0/6ykaRtcVrNQtZ+He4bEQ+/du2adbtd6/V6iYzTXFWtuNfr9UtGc7PZTD4r+s5NKNZALJLZcnh4uBHrMws+qhhaOzK2Q32oYh1H5GMzzeuItSDLSFoVssLq8xpJef8vG/MaSfqfSg/Ll1KAMfS+qmqEMd1ucxDHcTlgOphX7DdtzNexHkPX+0hb6LpNHcOyyOqHeLP48mQysd3d3eQw9E6nY7VabemRJB1KanZxEHuZVFFfYXVdqCqzZZMNB69zZRWo2uQ+XHVEIykiQVba1rqEGtPtyhpJodPHl42qlBRGkmT8hDyAPKdj1QbSKu+NiFgVQpXI+FuY94DrZcIrtHkG1DKNqyxedBWMpKxxY+aCjCR9pmjGcDhMIjzLiiSZXRhJ9Xo9mKI1C5uSbncrICuSVHTcV50tcysiGklbgMlkculwsWWARpJKl/LzVWPRdLu8/5eF0WiUbNJdpK1S1vwheLyWqXir9DSNRqOUsC+L0D2j0chOTk6iUF4AVdI4FbpbCb7PXrGflfKyavDdq1o7IWPnVookaZ+Xj7jIqSVjRUZSs9lMqt1JroYckf1+f6E5lDNNe81kJOn5ZaJI6uMm0PYimS15xUkoq9cFOoLNFtvisO3ralMR9yRtAfr9vo1Go6RqzrLAXGsxSJW6XQcWSbfL86ouEzJmy5xn4NvKynYSfFlh+EajYYPBYKWV7VQtS7n3RQ8ozMPZ2Zl1u13b2dmxo6OjxRt7C2BZND2dTlNzfCulevD8GkaVQmO9aeOSRw9+nS7LA52X9nsVlLjp9PygTxZH0OdMj1b5Zn3WaDQS42U0GiUVXAUp7JPJxPb39+duX71eTwy4RqORakeR8ZfsUVuWqW/MizJ0dPPmTTM73/Ps0xtllGqc1gF/ftWizuCI6hEjSVuAq+KBK4tQuh0/L3JvmXsWBY2bokJJ15qlGWSRSJLZec753t7eJaG7DFDoL2I8h+7b9opXm4Bl0PitxHNoFPnSu6Fx2DS+PK9jqEz789LNFrl2W0AeKD7tP1eKG7+v1+tJpbusSBJ/L9I+7XlqNpulz/RiP8w2gy/P64zgegiVnV93pgznJEaSNhcbYyT963/9r61Wq9l3f/d3J5/1ej17zWteY3fccYcdHR3ZK17xCnvggQfW18g1YVXEv0npEWQg3jtZ1CPmn7dszKsI6Fp5usi8/fkJ/rkqNbuqPUkUoGUMwaKI6Xbrx1VRaMtCilS9Xg9WsDNLK2ybUAZ83nS7qud4Fq++KjTl96sx+4KRJH+NaEoGS71en2lYzgvvzCoD9qOq9syLkKyb9/48Y2/dmTJm4cINZZ3B27yuNhkbYST9wR/8gf3bf/tv7TnPeU7q89e+9rX267/+6/aud73LPvCBD9hnP/tZe/nLX76mVq4PqzJWvCKwzs3JIQZShkmGojPLRpYAzUPIm8SD/+YxEJcJjmsVHmghGkflEVLcq3yu//uqg2WTi/CNTUu3m7dww7yYd/1X9f51w0eSzNJnjJldnGPVaDRSESalwfFZVbVJRphHER7rjSRmR6wL8xaSYn/XUchpFkKHCi8i6zehT1cRazeSzs7O7FWvepX9/M//vD3mMY9JPj8+Pra3v/3t9tM//dP24he/2J73vOfZO97xDvvd3/1d+9CHPrTGFs+P8Xic+aN85RDWFUnahP1IIQbi2xTafMkNqKF7lgGlUpQRLLyOhwHyINl59mQtA1VEkrIE9SxHwCYZUcuIoC2Cqmlc/Vt1P5cxx75aXZHruEchbxzWGWn3bcj7f1b7yho7oTEpE0kq+86ibVoFaETwvTKYfESA5xOJv7OYgsci/ZhOz1PtlPIXcqIUpQXK3XXx3irn1B+avAmOoCwnV0jWz+JBy0AoRfFWxNqNpNe85jX29V//9faSl7wk9fmHP/xhGw6Hqc+f8Yxn2FOe8hT74Ac/mPm8fr9vJycnqZ9NgSqthH5u3LhhDz74YGZ1Jf931QhFbrK+XwX8hkb+zbYcHx/bvffeazdu3Lh0f7/ftxs3btjZ2dlK2j+dTu3k5MQeeeSRwifZh5QLX/57MBhYu93eiGpDPpJUxhg8Pj62hx56KNeoDT1vOBxau91eeyUiodPprIym8jCdnm+wfvTRRyvlc9PpNOFVq1KQNMdVVtSbTCb2wAMPXOINITDVLqToh5T9TXBcePiKa+1223q9Xq6RUrb9vV7P2u120KmXFfVflpE0mUySoi+rBiNJ4tmiY/WPcoB7hLwjrQqDW/Oh1D5Pq/7w8RBC6XabQt/zpA7m/b9uhCJJZpf5itbxLBqvcp7yZPWthrUaSb/0S79kH/nIR+z1r3/9pe/uv/9+293dtdtvvz31+Z133mn3339/5jNf//rX22233Zb8PPnJT6662XPDRwb4Iwbny1WuK4okrEsRyPKy+Lb0+/3Ub0GeYZ1CvqpI0nA4tFqtZqPRaGEjSWkbw+EwEXDrFlhegJaBFFHvoZqlsOn6TRByVIzWPRdm6TGtUvGk0rcKiP9VuVFcY1PEucBUOyGkKG5aip1H6CDQWWM6TyTJLB3Bz3rGsqNtNFJWAU8H/v3ijxpz8uxWq2WNRsNarVaKj2S9oyz0Th5mS2fbrGdrblUwiJ+tE/Om23m5wnWwSZEkbyT5/ZDSX0LreFn9EO9UldNbGWszku677z77Z//sn9l//s//2fb29ip77ute9zo7Pj5Ofu67777Knr0oDg8P7ejo6NLP4eFhwth4PpHHKiJJm6IEhBhIHqMPReDE7FfF6Bn9KqrshYwkptvxuesWVhrHshWTQs/J+iz03SYYR8ImCFeCRmtV4Hhv81lJvvJY3nVMtROKetPXHd3N+7/offO8czQaXVqbWaWMlxVJWtbzspBVwdQbSbyexsvh4aHV6/XMSNIi0Hzs7u6m3l/USOJcksdva7qdb3eWkbQuhLJl+L++96XmVwEaaLc61mYkffjDH7YHH3zQvuRLvsQajYY1Gg37wAc+YG9605us0WjYnXfeaYPBIKlzLzzwwAN21113ZT631WrZ9evXUz+bDkUN9HcRD92ykLUPadXtKJpuR+Hk92b4cV02PBMu8k6G3L1gYnqEZ5zrgO9TGSMppFDwu9Df/rNNEGybZCTRaK1yjLyRtIp+LvsdecLep9oJs7zpm5RuF+IPIT4ZwryRJEYa/TNWlW636vVI5534NA0eOvUYTTJLZ5Lk8c55HU/MntC+p9FolKTazTJ4/HtX6WDMwzyFm/z9WZEYs/Wt36Lpdmx3Wdk5L/juTXJSrgNrM5K+6qu+yv7kT/7EPvaxjyU/z3/+8+1Vr3pV8nez2bT3v//9yT0f//jH7d5777W77757Xc1eCqjMK2Vr1YrhrEjSqhlJqD15RpJZegN7SIFcdnspDIsyFt9PMnT/nE1gVowkzXNvCFmKnf5ft5AmNqktZsuJMnplYpUbeJch6M3yjSQp+v4A6E2q8JUFr5znraXQfbOum3XfYDBIrdEs4+iqGEkhxTZEH9x3RLkgZ1heJGmefoi+9Q7RsoykUPQq1DdGwkI0tUosGr1Vu1koY1OyMtiGvMINeQUn/P/r4J23AhqzL1kOrl27Zn/5L//l1GeHh4d2xx13JJ+/+tWvtnvuucce+9jH2vXr1+07v/M77e6777YXvvCF62jy0iAP0Gg0smazmXjodnd3l7oIer2eNRqN5J3CaDSymzdvWrPZtKOjo7UwlJBnLmQkDQYDOzk5sWvXrl1igH6fz7LBKoX7+/uFxo0em263mygcjCRNp1Pr9/sJw6QgWyXUVilGWWd95N1rFt4cPB6Pk71XRFGlL+udpHGPbrdr9Xo9lZ5S5JlKia0yTXgeLMsR4HmO+NIysQweMyuSooIG+s73McRvilRuWwd2dnYueX1F/34Tv77r9/s2nU5L0TGfo7XKlMysdDszSwrQHB4ellpzRdtTdh7m6X8ow4GKrHd2ibfJOOLh4GV4Zx4fM7twZOjZ3JdkdnmfS1bfxE9UUGp3d/fS2hmNRjYYDGxvb+8Sv14GJpOJ3bx5M5Nmer2e1Wq1Sweqk1cfHBwkz9J6GAwGNh6PLzlHZqGK/nNM1R7NMefKGyhVRYRngbxtFfx/k7E2I6kI3vCGN9jOzo694hWvsH6/by996UvtLW95y7qbVTkUPVL+8GQyscFgcMlIqhKj0SjJYaaRNBqNrNvtWr/ft+FwaIeHh2a2uel2vV7PhsOh9Xq9zEjSKjzBesdoNLJ6vV44TYmGh4pM8HlSZpTbvk6FTArlvEUC8vbaybj0UYtFjFs9TzQe+m48HpdS2LQ2F21bVQgpv4sa0KySxflehWG+LGMvVOlqOBzaYDCwWq1me3t7M/cGhKIFVbd5XoSUYPGMEP+TI87fMwvky41GI1E2Q+fy+Pf1ej0bjUbW7/ft6Oio8DtnPTf0dxFoHe/u7hZWdmkMSbkN8WWfEWB2oQyXjSSRV2Upq1qz6kez2UwZTkXS7VgwSHMVyooYDofJ0SXLMpK8cd3v9200Gtn+/v6lNouOQ0aSvuO5VTKKJKPL8nH1fzQazW3se6N6OBymHKzqW16Ro1UgZKjdatgoI+l3fud3Uv/v7e3Zm9/8Znvzm9+8ngatCFKGJWiocC8rkuSfOZlMEo+M3/C8qpQ13yaz2UYSDSOf3mBWzINWVZt9alxRIylLmZOAZflWH4VZNUIRoUWeof9Jh8SikaSs++aNAuTlh68Dy1ifLGIgRXIej2sZLDuSxAOazdKV38bjceJpJny6kRRIYROMJL3bp39xP6PnMbqGzyjKU6jcqaS1ZJU+52+uM/GzKp0988rHee8L7Qnxh3+rBHetVrPhcJja66bP85TzrLnSPaFoOyNGk8n54bWaE1VJncWvs+gk6yDWVdG9Ktf6OfN8z9OwT3M0u5yS759bBFX030f4NFdeFupvzeeq9iT5d4To7lbBXL3+T//pP9mLXvQie+ITn2if+tSnzMzsjW98o/2X//JfKm3crQIx2UajkUSTzC7SmpYBL7y63W6yUOVZm8fLUmXbzMoVbjC7vNFwkSpsZSBhIoFUNNoibxH7pvaPRqNEyFK4rgsSxlIGKJxnIa+oxSzv5qKYNWaLKEnrRGgcq6APCnBFC1ZV5W5ZkST/v9ZZXulxb1BtSuXPEKgIhiJfZZXjLHAsFE0yu3wEQ2hvEhXbZRvFVV4bgvg8nXNmljKUzC5XKi2SAp5n0Ib2BzLyS6NZbVB7NO5ZffeKexaPX6UMmpWRMWs/q0AjKeTQnAeLjAPpxRuiPpuE66xKWZYHz/Nu5YNlSxtJb33rW+2ee+6xr/u6r7ObN28mE3r77bfbG9/4xqrbd0sgtBnU7CLMvkyMRiNrt9uJon5wcGDNZjPoeVkVssYjr2KSGIr3Uq7KsPAGhDzUeaBhRyOJn4/H48QTyUjSOuA9zvMqOyEloEgkaZH3zFKYi2ITI0lVI5RSVeU5TCEssx96vp87pcYqrdAbgqLzKs8ZqhohRTC0lmZFkuZ5n9nFPi7xqrzCDUwnX0Ykad775nWSMKXOG0mSoaIpjovPGJnVBn4XokVGjLKMpFmVGn20VHw+b65WwQ+o/9DYDLUhi8Y1J1mFWOaNJC0C6jhZKebiuXKSht69bN5DY/9WRWkj6Wd/9mft53/+5+37vu/7UnnIz3/+8+1P/uRPKm3crQJ/CNxwOEydmyRU7WXt9/vW6/WSUOr+/n6yP2lWPv4yQYFDhFI4yGwksHzKmleQltVmGklFonA0hqbTqXW73VTKIAWsTrhfJ7OikVS28pEXSiFmH0onWCTdLuv9/n3zGknrBsdxniiHcuBDz9Q6Io+nh7Nq542iVVXzGfID7z2WA0Kpdtr7J2Q5A/zmfF2zboQiFOp/3jqdN5Kk315W0djks7XhvUqDe5aym8UzFzGS9EOZIyjC1Gg0rFarJWuMDr9ZBsusSJL/3u9H8tEss4vy9kXeqWvUz9C+mFUcDZC1n47tnWUkKRtDxp+eu4iRJNlc1kk2mUys0+mk+kQjSetI9KLrGo1G5jpehtHEd7CUfKgftwJKG0mf/OQn7bnPfe6lz1utlrXb7UoadSuBTIuLRMQ5z2IsAjEPs/OFoEotYqTeg7AJRlLoGgptMXYaHxTKy+wD0yqKpqLRsDo5ObGTkxPrdDqJ4BUddLtdu3nzZqr63Trgc+/LGBizvNqDwSCZq5BSOw/yBOF4PLZer1f6RPEq0jSqRpaHNA8yyrvdbupzzbHmQ0La7EL51X1V9l+bs6tM69Mcqx/eeJAycnBwkCi8TBvLMpKojK4b5JXecTEej63f7ydV3AjPN8vQje7T/yowpLRtbfrnPaK3drud8LgqkLfGp9OpdTqdSzQ+675ZUMEP0arWHXljvV5PRWGJUBnwWf0gPA/yc8L9T3xn3r4kOhuVwUIDg+j1ekkhhWVBPMjMUsZenpEQ+u709NTOzs5SOlWoCmQZaE2V5VW9Xs+Oj4/t5OQk5XyWjtVqtVLRSRqJvV6vkPyvWjdgBE7tPD09tePjY+t0OpW+a1NR2kh62tOeZh/72Mcuff7e977XnvnMZ1bRplsKzDttNpuphaw84nmqEM0C85h9VRiz2d6uZaJIup3aRY+M/ifzXtXeKjE2Gpqzog7yZrNfMuhUdavZbCZeS5+7vEp4JXFWXn2Z53F+Zgm9eZHlfS1rWGySkRSKbhQFxzvkRdYzlZJmZokBW5URG2pPlfTtlcfQ3El5VEUpOo/0vZ7lldDQu9YJbyQVneNFjCQzS6UDecXRRyX0WVW0U8S4CPVv3vnyUR2uCaZ1cR+Q7yv3M81qB6/J8urrmZSF+t1qtazVaqXoODT2IWejDLmsdLBl8j/KOlb082svz9hh9MUbSfMayRy/sv3XOIYcgVpDfo5rtVqiC/h7Q22vOpJE54vaROfArYDS5Yruuecee81rXpOcMfH7v//79ou/+Iv2+te/3v7dv/t3y2jjlYaUNCmeu7u71u12bTAYJOW3VWqySs8lhZ33RolBMjw9q8RrlciLJFGoU4BoDM0uCl6EPHDL6gcjSUUNGhp0VHDkAW61Wra/v29nZ2eJwF1nGXAa9GUjSXlj4Zk+jUIzS/1dFXxUoUjltnVG8ULgfPD/suAzRF/iR97wX4b3eFljmhdlpnJidk5ju7u7SURL6VK8N493rJsu6PENRSey1k/ZPZuhSJLZuSKryL1fS6IbrbOqnD1lFEQ/f4soyVwfOttmOp0mKW3i5TzQlfARyrx+cLw1xqF9kZ5fCipR7fe9enjjT+9UahmxiuwSZrmEKjfOisDRmFG/eajsIntLQ+8uc99oNEoc036rRb1eT9JSzSy1nmq1Wmaa4zL3Xiu6KB1nHdlF60RpI+mf/JN/Yvv7+/b93//91ul07O/9vb9nT3ziE+1nfuZn7JWvfOUy2nil4b16rVYrMZKuX7+eXMPDZaswlrI8iXx2SLlYBYoaSVlFGrwyv4pIEpVL7euapVCqXTpAjn2SJ7LVaqUEw6rngm3lvITy8YvC9yFrbuhBpRe6KP3nKULzRIQ8Ha1bSOT1qcy9fi7oFVdks9FoJGlGWe9fBN54qfKZWRFoKrRm5wqlPLW9Xs/29/cv7TtipKAqXjwv/Pj76L+vKMm/s/j/LHjFU8+TUWl2rgT6tniHli/JXgWKGBtFvstDiHdJkfX0kZXeRQdEiN5DvNE/T+/yaXL624M8O9Rf0oMMKl2bxfOWxf+m02nqDCv1Na/dob85duqTjEmfDlqmbfPyKl3PfWX6TIZQo9FIUhknk0li5O7v7ydprKQ3oew6LgKtTfH+8XicMtJulUjSXCXAX/WqV9knPvEJOzs7s/vvv98+/elP26tf/eqq23ZLQEqJGCcV5sFgkISaq/bgZnnpyYzIzFeJrHQ7tc/ssjeHjNRvbs3zoFUFGkk+PJ0FHtLJSJL2ydDbtK65ELxilbVfIwt5DNUrUD4VoYrzGaowkrLOC1kXZnmhyzxHEB1zo/d4fHGIJY8lWKaSVAVCCr2UXK1V7xTa29szs4u0O59+5J+37LEoA65LT9Oh1NVQ9GkWvOHJ++QckiKlcfPRCM7BIihD+3mpu2WVZIEFKxip4Z4gXyVW3/uMiKx3+LRQvz8klG6X5VzMcxhyrTC7QUagnr0K+cNCC/7w3LKGsB8L7vXOui8PRZx7s+7lulCbmCKp77vdbpJd1Gg0EoOJjiqhyvMgfb/IJ5Z5LM2morT28aM/+qP2yU9+0szMDg4O7PGPf3zljbqVQMbGyjgSLGISodzgReC9LIL+f+SRR1KVWFa5MDyzHwwGdnp6eillwDNs5oB7BumFw3A4tLOzs9Ib97Paq7boRHkpC0Sv17Ozs7OUR8nsQrnQc/T53t5eyvhaVaW+ECjQH3jgAbv//vvNrFyK18nJid1///2XxoXPyFIQ2I4ybc66b550i000kobDoX32s5+1k5OTSsZGY6HKl2aW7Eui0eTvKwKuY9+W0WhknU6nUh5HPuK9+lkKZb1eT5SRfr8/04hYhQMmCyFHEJWl8Xhsp6en1m63M6MB80SSBoNBUDY0m01rt9v24IMP2s2bN63dblu73bazszO7efOmDQYD6/V6uVXL5u3/rP+rcCboPvFjpcBPp9PkIPYQPXmeHTJ2BoOBPfjgg5eKX3k6ZXEn3ddut1OVGckvO52OdTqdS4ZZqE96j3QNKcRZ0YMqIwmj0cgeeOCBhE6m02mqr48++qidnJwE28zP+LdPqTYLl7Seh491Op3Sqe/D4dA6nY71+/1U2qRPT1VandlFGrDZhdNUxbz07qziJItgMBikqu2qjb1ez4bDobXb7ZWdnbdulDaS3vWud9nTn/50+/Iv/3J7y1veYg8//PAy2nXLwEeSQgc40lBahpdVDEeMWItQntRVGkohwc8Nj3n53GR8ZGDeWFJVMylni4JeIbN0OfKQl17XMu9aUIW3er2eFG2gZ39d6XaClCR52osabNPpNBEOGns+0yydLsnPlxFJmscj6NuzCUaSxjTkXZx1b+hvn3POKICv1lW2/3puiGb82qgCWR5zrSEfSRKo/IZ4H5XhdabbhcBIkhwuoX0M5PdF55HRBKZ6CRxbVQmk84fXVbknKRTZ86gikkQ6EA9QOpgMC8+rslKvfZENzZGvGul5Djf2s+IZsye8ocw0vDzjgvKWKd5UhpfloBsMBjaZTOzs7MxOT09tMpkkeo8MQE/Hs+Y0ROMho7UMHxPtzuOs1Bz5tDVvJGn/3nQ6Te1F15lu0+lFOqJoT9dXIZO4jplZoHbTIXwroLT28Ud/9Ef2x3/8x/b//X//n/3kT/6kPfGJT7Sv//qvt3e+8523TEnAKkHPFHOZWYqzCiUx9F6zsJEUEj6ryj/lu33qiG+jz2vXOIpxeINK3up5Q+15beY7fREG/y62x+yCcVMg7e7ups5QYF/WkQtMo3RWukgIodSn0HP99WaWqcwWaXPob7PFIknrjB4IobGf14AOPUNpHmaXI57zCmTSf6gv/u+q4NfkLCOJkafQOG9auh3bw/Qub+wK7E+ZSBKvocKtn16vZ81m0/b39+3g4MAODw/t8PAwOX+P+5aqKEDjjQLfxrz1P4+R5N9Jp6ZPSxNY7ptz4PcX+SwH/z5GkiaTibXb7SR6QDmZZzBm8WyfVaL1wVR/ymB/XxWgsSjDXk5aOkfZNz82fk45Hj4tkUZOGZ7jDdiyBpZ+DwaDpJqdp185GJrN5qW1LaOc0aR50maLgFsvdFYT99Gtk+etEnNp389+9rPtx3/8x+0v/uIv7Ld/+7ftC77gC+y7v/u77a677qq6fVcaZI4kdDJeMYgqN+Z5ge+VFDICMplVLAqvTPtULDINr7SGNgybnY/nYDBIUt1qtVpS8lfXLgIxXL2fgjG0QVRjrP6wCpL6JGbojSRdt2p4wcI+Fr2fQiJEb/TeZ0WR5p2rPOFe1kiiAr1OcJzKejVDSiLnmBFtGfs05hdRcvPuq3JMQ4YNI0Oh9ChBcxxy0IQiSeughdA7aQxm0bxXLv33ee/zxpU+p4EgZZvjJJpaRpXOvHlk27P+L9oOL1P0WbPZTPghz9nSdZTl/JzvllzSWAqeD6ryqbz6rVYreb6iPyFQh/B95juYuSC5RGffMlO9SYONRiNJz9S4eZouYyQTfm3nXZvXxjL38V7Jdcp+QZHB3d1d29vbS0UI6bwxs1Q0qkr90Mtn8T7qLezPVcfCIQp5inZ3d2+ZHMWq4IW1N5J8uc+q4D0QWV4Xtm9Vpae9APeMLBRRoWLgU/TkdZHwqtfrdnBwkPJqLrrY6Q2kh1HfsV9sk9qucda5G41GI1FQaQgySrYOkAkr/F6UMZPmfB/8vOp6s+oO7swTnmWNJAm2dRtJQkiAzUJoPLxBQC8no576v2z/Qwqa/p9HYSn6Pq9Ec2N6ESOpKuVjWWAfyNOKjGkZHujHkwazFDYaj6Sr4XBYuZEUMoKz1nkV9BWS1/qMe/Zk5DCzgLzc7HIkyVeU88dY7OzsWL/ft263mzjidnd3kwgd5U+RfobGhnJekeSdnZ3UgfahVMCqoMjR/v5+UkBFe4dD78ozkjxP8XvC/Jqex1AuwxfIm7VevJE0Go2S6ODR0VEiY73jWBF97X0u4iSYF+pjqM/RSMrBJz/5SfuxH/sxe/azn23Pf/7z7aMf/aj98A//cLKZO6IYqDhyoUs5CXmZqgCFHRkGmTTzksu825cJLgp5yEKeM7bbp9upH6Hvh8Oh3bhxIzGQGo2GHRwcXFK8Fx1Xpij0+307PT1NxjW0f4NGEvOulZdN76MM5Xa7nTzDV4riuC0LXuCEokKz0Ol07MaNG5cqpPm28/mLRJKyhCA3PfvD+fKg63wqFqHCHSGE9mPNC71bHup5njkYDFLeSCqv4g0af79/Lqt88aw28zchRbqqKGlICZKnfFa6nVma7ryCGNoDVtRRUNX8Z73TR5I0T6GI9jxpOjSKNJZS7BRRUbU3QXxM1cqUQlXmnYqehPrP9xUxDEJGelFIFmsdKJquPaSKJpF/+TVkljbCNVdSnNUntlfHgpidF/TZ399P5rRoJEntyXNKkG7EH0ajkd28eTMpENDpdJJ9Q1XBFzLY2Tk/4FltPT4+tm63m5KnoSwcr8wrw4N9XMRIUqrczZs3S9Gw5qff7yclvtVPvV9FTZrNph0cHCS05derjGLqF+zzolA7ZZxqHP22gFvFSCp9TtILX/hC+4M/+AN7znOeY9/yLd9i3/zN32xPetKTltG2Kw8tHO8J8Er8vDX9syBCFwPnItT75PmTwlTE86eFbmYpBlAEXgiGPJyesXtF2qemaWPraDSyZrOZVIcRqDQtAjH4er1uJycnyQbL3d3doPCm0iIBp7QCeSV1z3g8tm63a/1+PxGyHCcx1ul0mnjflgExSxpuTM8ocr8Ey7Vr14LRSu7BWmYkSXOueZBnbtY71Ka8g2elIDUajUuHj4rGpVAtCm8klRGSVPS1LkL8iGdkqO1ymlQV5ZbQJc+p6rlmF1ENVr/06XIeUoSlDJAXDgYDGwwGiSe/6LhL6WTFqqpBnisFN5QW6z3QZdLtNFdmF8q8Ig9nZ2epymi1Wi2hH1YOLKNg6nnj8dgODg5S7aESvLe3l6v4ypgJvbfM+jcLpzcpqqNx4eeaA42DL66gLAIWeiAv1Frb29uzRqORKLCTySRJzfZ98P2kIeH5ob6nMs+iFJ1Oxw4ODmw4HCbFJaqkYRYI0IGq9Xrd9vf3EwfqYDAI9k+ygzoKjSSztA5FZT9rrLIwmUzs9PTUOp2O7e7ulnKwaU6VJsnxIw/f3d1NCjaI7/JAWfEmjYnoqyojyexCVsnhJ7o1u3BKaByXFcXaFJQ2kr7qq77K/v2///f2rGc9axntuaUQ8uiZXQg6LXwK6Srfq3d4ZcKn3TCvPE9BXKQggq5n9ErvzLree53FJHwFGPXTM7SqIkkSYho7nYzOz/kOMUSln5hdjg7pHnmd2EdGQop4UKsA++CFSxkFyyytIHml1Sx9OnxVkST9T4Of62sWs6cxyHS7LMUkSxEr24csaNy0XsqmL4VSUfRMGuqh/XUUyGWEZJGxqQohJUiHEnMjeF7bPW/UWItey6ZwVTn/hO+D6CFrYzrnrQwP5DWKBklJk6FNPk5FVeM/j5GUNW7kHUXG1l9DmVCEjrPonbSgQz8ZoaUzkkYSDSfKPZZbZt+azWbiXCEtHxwcFOJhPkVQyKJjHzFrNpspx0/Z9Z8H74CSweizWUKFkLLomNd63YRGasiJkNdORpTL3ke9hbKNTihlkmjLxWg0StaXaFaHzop+ZNBWBfaR68yny94KRlLpdLsf+7EfiwZSRaCS4/PKufAlkMyqEbChVAASu1egQmcLhEBlft5UHLYtzzPC73yxBs9QsyJhTE1ZBCq4IObF+SJzFHhYnjytTAHiPco7Zv/0LqZ1LdtI8mF/KhhFIgocfx+94zxS+dZnVcErcBS+s2jA7w0r+q7QZ1U6O7hu543seCPJLD3uPnV00cIV/j7SVpVjY5Z2hPjUYn4fAiNPegbvXbeCkDVWIXrIog2/92rW+9hnZQ1IqeNY0EhiCXl5vcvst51lXOdFTwjOo1mxgg/+XXqGjxILzKCQk06Gj3c06N0aHx/xVPq12st3eqPL03uo7eTbfiw4PnwGIxpK8woVPlgUaofoiBkLITnjZYTXXUIyl3zO61xlDHYvj4sglLHiHYMsbmJ2YTDSwOM9PCqmykgSDW61m6mQ/HzZescmoFAk6Z577rF/9a/+lR0eHto999yTe+1P//RPV9KwWwEiahorAqNJyvOuIkXHLM0MmaPMhUblsYiRlOXlKQpdr1xdMWa1M/RM9oPeDXrp+Le/v6pIkowcGrdkpP7dZIbakKvoCfco7e3tXTobQkKD5V+rYo55oNLjBfEsZccbPt5A8m336QX8Xaaf/lr/fu79K2okMf0v1PYiRn2VhoBX4MsIbf6tZ4WMJAprVb1iekgRRZPtmmVAVqV8+XdKQVTe/6x2My2HP94pk9WnrPZUvVZDkSTxw1DUj3/7Kmuz2q8fpoOJT3nlSs9UmhQjIVS8irw31EbRiuSFp/+stRkyKMrMH//3NKC0Q0WTzCzh9VLUvcGitUTDSanHKhVtdtlIYpsUWaK8Dsk7z0d9qh2/0x4ypXXJGegLJVQZSWIkTftFvfwL3eP75XmTjE7tc6JRpbEr2k7dXyZ6T+NNfaSBq/XQarWS+WMJdoHzrqhsltE7L8jn1C6NsXfiRiPp/4+PfvSjyYL/6Ec/mnndVQ+7VQ3v0SYk6PQdlZIq3qt3ZIWpqTiFiih4+NS3MooO303Gp/eJiXkBSMXVh385Vhw/Ik9BYDnvWW3npnYydv0txqj+qd3y0nHDukqT63RuCSXtZVAESe1rtVqVbgbP6ycNvqJ0IXD86R2kUqzfSi+oKork6SEUSfJ9oNHLthWNohQ1nuaFV1j1uyhCRpLmwnvYRdcssS9nRlmjVUqJV1TMzmk+L523DLxXXPMdMnqy5Jbow0cbVZyj1WqVNt5npSyXgadnKth6l/hiSLnktf4Z3iDkfVLsJ5PL+1LIf8W7WO54Or1IeyxrJPH5bKNZvhMlL1pc1nClgsxUNLOLsaTRplQon1rFiJN3Bmrvlfahaq+VzzbRb0US8tLGaIRRllIX8BVXZSRpb4occ2pj1ZEkyRQaSYLoJWQMZBlJXq5oLMWD9LysqGAIk8kk2VvYarUKj4HWIqOqmncvU9V/RuzEG71xJ52AvHNRw5VtkX4jGuY4h6JjedAc+rOhNh2FuPVv//ZvB/+OmB8U0nlGkphgt9utXLgyksTPR6ORnZ2dJcZHkUiSTxmYRyn0Qs97772n0gsX75HzkSQPr6QJk8nEHnroIWs0Gva4xz0ut81URMzMHn74YTMzOzg4SNoTMigYdZLH0OzcSNK1p6eniYf29PTUptPzzclKw9jf3y/F4BcBx+js7MwajYZdu3YtaGBkQcqS35M0nU5Thl8oZ7usMuqF6CwjyStiOhj76OjIzNLlv1XliQJ3Vtv886uAxk1rtcy68+3RPMpI8l5rrrmTkxM7PT21z/u8zyv1PikXIaXv9PTUjo+P7fbbb6/UoAwpC+pvt9u1Wq2WzHEI6jvTjT796U/bycmJPeUpT8m916Pf71uv17OdnZ3UOW2LYDKZXHqmaHowGNjp6WlKMfaKdpajrNPp2GQysaOjo0tGyXA4TCrZkU5CkX2ddyM5dnx8fGmdz8IsI4mGbGid+e/0W04oX/Ahb6zNzNrttt24ccOuX7+ecirwfYwChIxXFnZRtgCNK5ba195THdSrtkjZZMETH6UnNN80Nmgk6W/KqL29PavVatbr9ZLU7+FwaCcnJ5XugxmNRtbr9WwwGCR6jto5Go3s+Pg41Tb2M89IUiSOtOsdNWX3Fp2dnSW8o+h94tXcJ62+aN+R1iKziGTMnZyc2N7e3qW9fzwqpipdQA43GfghZ/VwOEzSbYtiPD6v7qpjWLYF22POXTFwMXvPrdlFqgdr4c+758AjlFLDdsng8dXWfDSH9zA6wv4VgVdezdLhf1XU0rX0DFLQ50UDQl6PrHQL9n8WxEyk/IsBKzqkdur53rDTZ/TS8wR3VYliFEn9oBe3SsUyBCrSfF+Wh9bfy7RBGriaFylS/K4qb5NPjyKN+X0nZhcVu3gt5400mNdnIk95mQeiKdFeGc986Fn+eV7g0quodVW29DiVMN4nT6hZ+oDEReB5VSgSrd957/O8RTzZzFIR3CJtDil4i4KKFttsZkH+498fUjB5jY9A5a0dfcc9bJQn4mPik/NGkvi3N1JC8+AzBmYZE3nt4L2Szd74NEtHk3RvVlTap4lr3LiPyaeESc7I+FTWQ5FIUhbtMxVQ7dvf37darZZEtRgFqGqt6t1sA4sWSA7rf7XdLDsdmzyNNC4Ho5ml9scV7Yd4Va1WSz1rFqQnmF3oM4xMDwaDS1VPZSRxzzNpSOPEtnEM5oXGTgY1nZZ0hJSVOXl65yajUGji5S9/eeEHvuc975m7MbcSfDqIJxwR4WAwSKzuWQK9CPgM7q/g91z43qsfShfhNfNs6gwpGmyH35jpDaZQ+gWVXCp4hE+lyTqJOy90Lc/QdHpRTU/CTTnobHNon5XPU5fXUB4ifa7yoXoHn1OkrYsgjwEXTbcTQooVHQEhI2mRfnn6IP3T661rfCUkryT7lANem4UsRW9RsF1lUx/MLgQflQ+V4eXc8Lq8fX5ZKGKw6O9lGfx0+JCP5a0b31eeq8VzbWY9x7ejCmQp6JorjmWITplOmEU7/j7PczmXVP6ZdkweJgWRqUdF+un/9s6OkKHn5Rx5ThHjKtQOvpP90vPoQNHeJKWm+jH1xiTHdDKZJHIky9ClnFE6FA0D36eQkRSaX46bIheDwcC63a7ddtttQXm7KCgXZRSSFzOlXu/W57qPn/u2MdrPMwql6BflnWxDyPGaBRbs4LybnUc0p9OpNZvNlOOTjoiQQ8qv/5AeNS/0XGYIeWOy7PxfaSPptttuW3Y7bjl4Ag8JV3rgZnmuy75X7/SLjEq9GJY3JrLaqRSMUP9mtYm/KbQZKdI1XrHlPfyeHrEsr0dISJY1knS/hKY2u8oDZ5be5xUSiOyrolDM56cHlntBVmUkqd1+/v08ZIFCwivlnsZC6XZ8X9H2Ct6o4dj5NJWs6Ih3auQpZaF2Vq34h/pXNLLjeYBZ+jBHs4vzkTQnFNaaqzIeWMLTENdAWWOv7DuoMIfm0IN06VNriyr5vk1V0kJIMeL8cE1lXavPQt+HlCI69rIUV71TYyavPXmZj1xk9S9rvLgm8ww9X2jAG3tljCRBslG8mG3QWpE8lOzx0SB/bhdpU2PDQhe+75KLPJNK7fRjGtI1uNY0BjQ6ZNQqZbLf7186/7BqvmZ2sR9Y7aOsYMSJGSYhRxjHyMwSx6OcmZLTRSMilN9qX9FIiuS/d0woBdnMkgNkBRlJ6pfXb/i/rqkCNNp9VJO0Wqb/ZlfcSHrHO96x7HbcciDBhYQET9zmQll0IVA5ChloVFLNLhQB5cb6RcGF4svAljWSQopSyFNEBqp+eM+2FASeTh1a0BJiPpWBf+ctah4QqbaFvFZZERKG783OD/bUMyVEaSzpf28gLkNYCV7w0HtaRKn1NOVz4mlA6TOzaiJJ3svsFR1/sCBzxnUP28Q1k7ce/edFI05FwbHPc2DMahtTKjjuoaIFulZe8bKRJCrTWRGKqg0Iv2emrJFkdsF/vRHq/y/L7xaFxpH8hu8nzYaOZ+Ac83PCK9EhutZY6lpuvOcYST6IjpSuVWZtk4b8WvafeVlHxdKPW5E58Q4WKddcL2yfL0IgJV3PogHlIbmxu7ubpLjyWAlByiv3VqlNvk+e3rOcHIwIkkfqHva/Slo2u6jqp3eoP6HzBNknr3foN2lb4y/ZyvS2Ig4PGq+aOy8vsiD+Kv1A6+bs7MzMLg4J9uCc6Rme34fSSRcBaZzt5sHauq4M/99WI2m7WnuF4L1Zg8Eg2Sw7nU6Tg+RUAc2smlx27zHyXjDP+KjYhxQxev2zQt9F2uSvZ/5u1jNlYJydnV06a0jM7OTkJMkdzook+edyE2leHzRP2shsZslGej1Xz/ACVeMu40lCkHnSUiL0HT3D3kgqM95lQQVpOp3a6empnZ6eZtJECOPxOBkbKuR6JueRNBlqS9E2C6FI0nR6vnGfYywa4j1ml6N9/X4/iRB6ZV9pKb6dIeVtEXDN+PEser/6oWeQN+g7CmQK97I8ybfL73UZDAaptbootEYefPBBu3HjRkp5VJ+63e7MypDT6cWG+snkfE9gp9Ox4+PjoAc/DyrAU6YK4SIQf/Ln7Qh+jYVoyH9G2eGjN9Pp1Nrttj3yyCPJWuKamkwmyWZv0lwe1G6uVd1POvT99vCOEtEcz6GbBd2rDeheaeaeDT1T6WqhlDpGkkRbeh434ysFi5klZpYywmj0cU5I436sut1uwqu49ieTiZ2cnNgnP/nJZK8oU9ZZTKIqmePT0LVHZzo9L6Lz0EMPJbKDfQwZSeTxNNTpNJVj049tHkg7mh+vU4zHY2u328HP5ehkv9SOvb294DtlVFF2+fTRs7MzOz09TbVT8FUJi4DymEaS+uurNxZ9Jvu0TZirXNq73/1u++Vf/mW79957L1nSH/nIRypp2FUHCV4M0uzilO3JZJIcvieUsdzz3iuI0L0SyQgNjRUuVN3j98iYXXinybjzEDKS8iJJVNxkWKhstMZU+3ekDKoSj48MeS+M+qT25ylsUnp2ds5LpYq5MO2QioI3TvVOMnGVFh6NRgmzFXMnowox9WUZSWwvx5UlVfMiblTkdR/30kiQMbwf2qM3L0KpGGbpsrL0Csrj6K8X3Wk+QwJC/fSKcMhoWqRPoku9hxuDZ4GCvl6vJ8o+17CeRy8yo65lo1d6r+CNpF6vlxjSVRmROttFlQo5j0rpUYQ87ww6GVaiFRk6UhiLlELnGqjKSPLygDSl9pJn8zpdo/7xc/8OvssrO6IHGdCdTsfq9br1+/3E4aN2iW5YcKDouJFfsD0+sstxYD/ZVil3VHaL0BzHk+lw0+n00mZ8/d7d3U3mnGWaFdmg4aWiCJJf+lt7mxgF4/zped5xQR7FsZLBw2fS2DM73yfTaDTs4YcfTsk3lb/neFQB8hizCyNpZ2cnWW8hOvDZBhwfGjGcD7MLmat1z3S4LIh+GAX0/I/OARqtPjonGb67u2sHBweZlYsZBZWhxecqfXA6nab2rguSabP6Rqht0j18pk5oL2+RZ6r/24bSJt2b3vQm+5Zv+Ra788477aMf/ah92Zd9md1xxx32F3/xF/a1X/u1y2jjlQQFDg3NXq+XWP4qv+kNmUXfa3Y5fU2LwIdUGfr2TJiLhErGvG0NKVFaVD7yRWYYSv+hkUalxCsooT4xBzpPCWy328k7lLctxi4GY2ZJ3rPGmgoHlRjtA9nZOS/nK0+nIorczMqxWnYkiUKX4xEyJLLA/QekG0ZBfApLCEX7SDrPiiTxOxbFYPRWbdez+Fw/Hnnj4OmoirnyAoqGaB7Yf9HU2dlZ4uWXUunb7+msjJHk2+SNJBquVUWS+Ez+lmFEXpH3HK1p0QhpxhckKdq2qhCaF/3N9elTXM3SB5bzc99WT9feENN1XLuSJScnJ4k8Ec3JYVXEIPZ98rTHdZrHBz2fl1PGP3cW/JiKF4fS7fReGYukHT9vvp9SUn36NvugeeN5Ofyez+T7NG90sOh6fiejl1EvysdlGEmS5dKJvPwWjw4Zin48fQqed9oyssNnZ4FGtv4Ppdxm3af382BhzW+e8UB+LH1A76Ks9O/2sqkoQvKePIQVDos+19PsNqF0i9/ylrfY2972NvvZn/1Z293dte/93u+13/qt37Lv+q7vSmrZR8yGFhujCM1mM1GMFWYX4y3DyPPgFUT/t/fkc6FocVLBNUun2ul/vatom0LP57O8150K2izDg/d4hci31UdpshQ2eain02lydgUFLzeWymOXJRipuE8m5xFEllIfj8eJkSQvOJWeVRlJFPRqR5GIAg07Ghf0yIrmfMStCoRSMfQ5c8s19n5jckjYUCHyfdV7/GdVgrQ+T0SKPEf7GphiSu+hrqfzhHNY5p1CyEiaJzqVBSpwVGrNLh9OnRfZES1y75aZpQyBIusvZLQtCv8+/u/3pPjSyWaXU5VCyrU+9zKI9+h7OYMou3S+Dtc1zxCaFVULGRD+b88rfPupZJLveBqfBdKpwHN3/HpR28RTaGB4/iDZIKNARoI3krzco+KdZySxPd7BI97njQW1V/dw/KrUSdg+FrtQ1IS0GzJCBc6x1jt1G4HnMNFRVNRIEiSDQ+PsDVTyai+DQk6p0LiYWZL+qPeTHv0an3du/Dgz28IbZUUjSbeUkXTvvffal3/5l5vZ+cGXyoX8B//gH9gv/uIvVtu6KwoKZzEhbbqkQNbiCXmJFn23jyQJLLnpBYjfg6JF6UPFXujO0ya9L/Rcb1ywrC/D6/qOTHJWJClr477/rNPpJKl+e3t7SeoNBS+9YqE+kpnzPfJ0M9Rdq12k3CkfPORNWwbIML0HVpil7FDBkACUksl58rnpQllD0AshfeadBKJpzZGEkffWmV1WPLMMqKy/fVsWAQ1MPZtRuTyw3Y1Gw1qtVipFVkY9142EpE8XrSKS5IVy1YqXxkafFY0kecVKe1Go1Pgy4EXaU1Uf88aeyqxXzDwv8pGkLCOJ8PtfyBvEq3QQpRRQRckZbVfqVhb8OvJjGFIwQ0oiFcuQ46/IfPh3ihf7dcHf4ms0DDlu3jGoceEBswTbrmtphHnZyPv0vlCqmOSNHEa6VkqxzwTwUZVF4I0GFqPw+7yKRJK8UcJxo6wxsyRdVmMwy9lHI0V8JYvvs39aG1yTMs6KpKBxjmnEso+e9ma1Kws+BVWOAI6f2hKNpADuuusue/TRR83M7ClPeYp96EMfMjOzT37yk5UJt6sOet48A221WtZqtRJG6Q9SXRRcWMzx1UIVg1SFNRoeInAtIDF8ptrNu4mcniw93zMPHz7Xfdwo6Rm431/kDRL/TDEgHZ4XYpr9fj/pZ6vVSp0L4tumHwlTz8j5W3O9s7OTSuMws+SEbz2b88L2LwMUYkwjDAnhrP1SnA/9T0+cFKZZgmoehAweGkk8IDWUG+5Tqrjh2fcx1H8K9KrWMgVhlpCcda/ZxbpvNBqJ8KvVatbtdi/NRUghK2MkSVmgsarnjkajS5vzFwEjlF6hY8TSLFw63c+jFEU5KMRX/Jlaq4TGvtvtXioy45XZkPdf8zEr8u+NE0ZiyIvo+GAbRVM+QkKFPAt6t3huyAjIK+6jz8l3Q/sFyxhJeqaiN4PBIHXmlqc1M0vJeNEmvfJUpKmkar8bU2nJTzS+3Fuj5+l9HDeNBeWH+LL6o3dRJlEf0VqtMt1OoFNTMlP0JicF5V6ekcTPvWxWxIp7vzReeobn4xr74XBo7XY74QF8F/cSE7qO+1693hMCn63sEl8Mivu1QjK5LNRHOYS4p1o6SZlsIdLsLWEkvfjFL7Zf+7VfMzOzb/mWb7HXvva19tVf/dX2d//u37W/+Tf/ZuUNvIoQY5WCo/0nZuf7kA4ODlILyiztBV/03frd7/eTfQjMee33+3Z6epqUpxTjYPGGrFQ7VtMpo0BpLOhtmbV5X+N4dnZmZ2dnKQEl5jEcDpN0D8EzWXrz5PHUM0OGCDdsK9VBCj7bT6+V5puGJgWWruV5BFJK1U+WGmfxgyqN6BC8QhkSRqIHzb+PsEjB1JxQsTI734t3dnaWeJZnRRGLgl4/r8DISJJSQAPJR/z0d7/ftxs3btjNmzeDeyqGw2Hq7Au2uWojyfODMgam1hv3UkwmE9vf30/GgetGa170TrotKii1bnQf23p2dmadTifZA1EFPM2ZpRWmPGOv2+0mbeG8jUbnlS+Vmlg03c5HcqpYqyH+F3onHRK+j6x8lTXu5GdmaUVfP1pDg8EgUWT1TkUryd+1vj2v8JhOzwsMtNvtVB85h14uhMaXxojmjAp5EceC5wUs1uNLzfv3Ku2OUU2/f4tFcciTJJNEyx61Wi11CKmeLccT13GWjGXqtOdhGmPNufYvylBaFIyu0HllZkmfaeyF+Kn+1/N8lF1jos+0T4zGoPpuZska53jr2k6nY+12O5H5NDZFp+12OzUX4p+6lofFFzEcNMeaI9HHeDxOrQ3v0BDK8BttJVD/ZDBxjkS3Reaf795GI6l0dbu3ve1tyYJ7zWteY3fccYf97u/+rn3jN36jffu3f3vlDbyKoNBWqovGlB7d0CKqSrmi0OdGPDFIebDEwFldzewi4hQ6SVzMp0waCpU2Mc1ZkSS1t9VqpaIBFGb+IFkp7F4h9t46peR4oeSZgtooQbS7u5vsLRsMBslBzIPBwPb29i4xFwkfs3PG2Ww2U5VlJpNJcjK4ma3FSAopkvIoMgWTDJqKkBdaFMT6X9eH9k7M22aCApGGEz2upDfSmu7zFX981EPX+fd7YV0VGNVTH/y7Q6BSQo+g2q4qSaJNVrZqNpupQgaen2TBKzf0orLst/cCzwt6Pc3S+fuiNRqI4/HFWSxUNqbT6SUex70SWemnWW0qcl2ZPpJ+sxxBfn36OfM0GzK2/Px6J4IUQBkfZhdVQinTpPQza2A0Gl1S8tl2zSNpgxkQISMp1Fb1hfsqyX9n0bHohNEhyo0QbyevaTQaqXmiHNL9PvVL60x0y6wOyoRGo5Ha++UNzywjyf+vaI3onlsCzMxOTk4uRauqANuitSiHBOmPxlIeTXpDyssn0an6Qn3HO/84R76kvehXlXVpAAt0UITkSp7h4A0MtTPkaOLB9nr+PKDzT+9SBF0yw6fo5mGbo0hmcxhJPnLwyle+0l75yldW2qirjOl0mqTqNBqNVJje7IKQqPiHFsS87ya8giDlVQtXzGU4HCbRLZ+LzlQ7LgaGrWctDvWNhljoPm8keaPMMymNsa71SoHA1A8xXzFQnw4iw1Vjp3GT8OMmWireHFc/l0xbbDQaKe+q97xKKfDeQY3JMuDHVoxSYyUayvIqTacXUVEftaPS43OuiXkNjFAkyfeN/Qn1XWcfyVhl+lCe993/zXcsOlfemMii7SyQ31ABk0JKg0KCdzxOFxAJtaPo+zgXXJ8a70VBZYHvN7OUsNd3WbRLx4uZpQqQeBrOg5+XKtYqxz5E294Q4piExsbfH4qy6H8WKhC/5trg+tC7xd9pSClSkGckkTZIi2bZildI1pG+5MwqOn8cI42pIv+12nmBiqOjo0wjySxdhVXygWPMNuo9dOSIN3qHJUuHS/aykIPeqTaZXSjx0+k04WuKIGh9MIVPBmG73U6lBc7ai1oEPrOD+ojnsT51kCCt0wgk8hR2RtVoJAle51DbOZY0oHybuW5mGeR8p9qmaBLPfdRcMG08b43PgqKWHKfJZJLoG9pTSCfHLJBOtxHbadptMRgyDx0gRqVOSnMoH3keZC0UMSW/GEKMkAvbG8yhtpXxrvrQuWci3uut3/SqqT9iTBIg9LL5hS2m5Q1Es8tlQWkksY3c+M9KNAQ9YF5BlBJBA0vvkxdSRpjf9Fx1hMKDiok3lCnkOQec95DypjkSs/fRnSw6L8rsswweGnaaa9K6oGuYPqj1SCPJ9zMkmEJCfVElWQoEn12UN4SUYbP05nEeaiwlWAYUBX1RIymktIie/CGhVRkQdC4w0sx9CPRQC96LStpQerKUOO6RKMPrquij2uf3U+hvKuuheZoVSaK32LeZvJiRQK5j0Y0+4z1sc16aKA2I0NrKSrcLwbeJpf5nzYnnb5p/GUncE0YFk8/n2tG6YmltKp+iUe8wZJq7V/i5z8bzUI4j2yjnpJ6tYy141h/5syIKundRxy3bRz6scWEEWO/3tCZ4I0ljI/r3/NrrGDTcQ84HOpL4HQ0qv5bMLusM0unU51myTkaQ7uc5Yz5i5dMDy0D8zI+vxo7p1qTTWbwszzDdBmxnq7cUikxMp9OUR9YLJTNLrhEDyyoiUAYkfq8IiCHzRHR5J5hSwjz+UOUdoWx0I2QkeYS85Wqn3kMDicyFQtALPPWd/RQ8E6DnSExLHmUxMCqYCsWbXQ6H+7aw/DSNKe9tpHfHj+EyQCWJCo5PYQwpmvxezzKzhK4mk4v0Fxq+3kM5ryFIQePnXelj3AdGOup2u0nqQbPZtP39/ZRxTK8x+xZSUHwfFp2rkNIrAV5UaKkfWj9cN0zBFc17RS+rHVkg/ZpdrohYxugqCp8WQt4lBZef62+2J2QEUbFk2mgWvIFUlSHoDQ7/neietBF6f54hZJZe66Qbs4v0HEZY9Ez2nXRD5dW3naChGnLI8JmzDB7JMxkkjMaUmROOKwuZ6FmMuPMerR2NJ68jb+UceScdjSTvoWeEie0xC8t+tUsRsX6/nzpYWsqw9icxOuX3By0Cr9dkRWHMLOVQyTKSOH5Zz6ZeoHuyqtxRdrGynD7T97yP40LjiVEf0nQI7Cf7St5DRyPHy7ehyDzJABUdcv1ri4ho2DtQQu0W2Peq+fsqEI2kFUFWupmlCI2eBG9Y1Gq1ZCO1GOYiBOYXTbvdTuX86mRrM7Pj4+Nk8yHLXpqdn8bd7XZzjSQykSJt8oxvlpFEIXJycpISJvSw6P3eq+mjBsyfn06nyeZLGkWMRGnuJJDk+et0Osl5YTKKfYlytYNGKHPB9S61/eTkxO677z5rt9uJwk6DtqxBWhb0wk2n58ULdEaU+uINm5BhqSIa/F/j2W637ebNm6mNs1ko0k+1TTTuDWW1S6WKaSRMp1N79NFHE6+qUnOYhsboI995enqa9MOvAVVFojdyEVBhKhNJokJGg09jJqWJe3SodPvDBIu8VwpGt9u9ZEyySlRIMZwHWeudUdtQymhonKSkq72dTicpajOZTHJpNdT/It7XIsgzkpgSpXZ7pZkGizeiBK8MaU3dvHkzlfZD5VD/MwNC71DBE29IhYwkrh9V8OM7zMKOB/7WJntdq3W5u7trn/nMZ+yBBx4opLjxmb1ez05OThKer/Lwo9HI+v1+Io+8cmtmlyJJdLT5QiBmdilbIDROmiOfcpdlNHsDWs9ndoIKgsgJIJpVWXcVLqki3Y40F3Jeen4RMkL5P3mS+LFZ2ojZ2dlJik/wfqb5CdzrKWNBc8WIra/qqD553ubXRRb/zIvAMFvl4YcftkcffTQlU8s61EV/iiyKlkWP1GV6vZ7duHEjKMdGo5GdnZ2lsmg4f+12OzXm24BoJK0QWsTa5Oc9CSHDoNFoJAvCC7qy4HskRLlo5RGcTC5S2CaTScpIYpqKX7zzRJKyvp9lJFEB0GcSOkoJYFvF7H0URNCzxCDMLlJB6Cnq9XqJgKcHkWPrvYUSjPT8aPza7XZicIgWmIJhZglTERNW/r5SfZZtJIkmqFiZXd53wzFlW7wS4hUoGrUULCF6KgPSCY0k/Wiudnd3UwKZud2M5vI+Rgp9v7zCzT7pvkVBw4WKbBmFjw4JjZWe5yt/MRWPXkavVOeBxgbXMtePj8JVAdKvnq1Uq1AfvbLN/XQcXz1Xzo28ceC7q/Kmkh7NwpG5UBSd93gD2685H70n/Q4Gg1Q1Qr2DfJEKoniheDPbFUq5I03ovbonK5Lk+6r7fQRkZ2cnZeQVoWMq6bqfqUdmF9X6uL+V48m1SqdMVhSKFeaovGcp0Mpi8JknXPMhevAK/WRynnKn0ushg8/zv3nhIw1CKPJAOskzkkR7GldmyOhajr9+WBiB79R93JMo2vFz50FZp2icdCz2P2tcfIl7s4toks5rFD1lGUl5tC3D38xSWTAcfz2X+iH7xbEyS5cpF/Ic4JuM0kaSSqMKn/rUp+yNb3yj/eZv/malDbtqqNVqdnBwkKTs6DMyBioe+t7MLiks8wrYkOIqo0KeESrDftOe2fki2N/ft/39/dTzsto1S+HxTEpjMMtI4iLWc/S5Txuid4jCwI8LmZj6L++MmSVREHkPNVYyLnW/FDAfotYz1LZOp2MPP/xwYpzpQGF5JukBpveRaQGhFMGq4YWBlGQKkzzllgaUV+j8RlHSQtYG/iL07xUBrR8yda0/pV0xsqV+UiBTCaSQDPU7pHhl/V0W3ujyiuwscO2HImxaN4zCcH36imJF3us92YzekDaoCM4LGkX8TILdr1OfnuSVbDlL1HbRP0tAz4ry++8WNZLYRm8k62/P7+kR1xxIKfJKs6B1rud5Z4kMJe+l9+3hHI/H41QkifsbCH+vPqPSyn0/VJL9+Kr9nGNP/7Pmz/MTGg+K7tPRyLLz+s1oRSgaxuiU5IeZJdFu72Dxm+EVAfbriuvP07ech9QHtD4ULdKc+2yBRenYLG3wqZ00HkNzmYUQnzezS0eBhPjmdHpR1t07H8U3/P5syi6fVaD3i2b9/jnywBB0PyP6WlssnEKDy+s5RcAzHEXH1P84J3oH16/nM2wH59brtduC0kbSy172MvuFX/gFMzO7efOmveAFL7Cf+qmfspe97GX21re+tfIGXlWQYDzx+P/zmP887yRDlOfk5OQkxZSUUuMVjpB3yv/N/2e1lwJbTCBrEWWNgzcuxdh3dnaSKIGUGTJGKkF6PtsjpUoKgJwDMnTFTHzaEw/lVKROyogUipOTE+t0OolAUqlwvZeVDTlWUjAkCH2qTxVCy8MLqxAD9YyZf5NZmqVPvfeeShqqVaSXZkWQzC7mizne6ovmkf2igGWlKkYavbLpFauQUTJPv0inobS4Wfer/+qPN5z8+qfCRc+mvi/aZu/1p0ddqCrSovGhkNcc6ewetYVpM56OaSRReZJyQkdKXv/5d1GDNgt+Peq5oYiE2u3bQTrWM73nlxEfjiUdP4qcKOOAXmb2l2fTMFruHSehMctqoy/b79cfDX0aeJzHIpEkykHxKI0p+TF5oegiFPGgcU5wTWtt+EIpdN74SJIMrOl0GtyzSsei+qM+0UBQvyhz6BDT7yojSf7ZnlbNLvbhhPrO6zS21CdCZ3L58RD96hleNjBCSCemN6BC8s7MEueq2p9nJOk6XyhJUDRT/WQ7/DOzaFtpdGbnhcS8PuMjvnoWDbwsuc8iH7eUkfSRj3zEvvIrv9LMzN797nfbnXfeaZ/61KfsF37hF+xNb3pT5Q28aqCiZRauUhMykkLEOu+7BTFGKdsqTa73UUnSQsoykny/iipQvEaLPSsMHfJehxisBLSKKLACERkNvYv08IWiBzpYdmdnx/b29pIojgwael8YvdJ3SpnUniVd32w2bW9vL7UHhO0Tg6WQ0Ds0bxyXqo0keoToSefYSFiynZ42xEwpxAaDQRKd0z4YzodZukJg6Nll+qHfNBI0BxIyjM5pjNVn3UtjmIpCyFtL2lYfFl3Heh4NF81N0VQ+307OLfcqSWh6AyqkmOfBC1MKWU8bixoQfmy9oWx2oQDIiSIjx/eFipDu0zN9RDXPUPJ8s4r590odnVkh3qs1ys+lVDPdlG3zcofzZHaeOl6v15Nomnik77P4FhVbKqhmlw0gvlPXM0LiDSS/7kI8SDTuHWNFwGdSvtGIkTyXQcgzZ7h3yDs09FvtarVaSYo4j5WgkefHQFA6ti8O4PtJWS8eSFrXe5mayMwFT0vzwstb/vjDxfnOkLLNeWH/dC+div5+jU8oyunTx3SvPyDbP4/8g44F9SlPR/JGkuhLf9PpoOskv4rw5On0Is1OhWxoNGssaexIH/BbAvwYqv2S37qeY7ctKG0kdTodu3btmpmZ/eZv/qa9/OUvt52dHXvhC19on/rUpypv4FVDlgDX36FrqLgs4mX1BCyPmJRT7o2hMPOKYNbzzNL5s0WVAe8h8WdHEV7AyFBgzqwEk1IGxOjFPHwhBT2X3j0+bzgcJlEkeVt0rxdY7Xbbbty4kdoLNRwOU+VZFVl67GMfmxhP9LByI7uezciSFHsxOSouyzCS6JVTW71CS0+Zb4fGioqK5knpiPQ0TacXlYbmjSZ52gspjxJwjJpIaHD/mGhJ98lrrudpbcjwU564Vy41dosqyVQEJ5PzCCfpdRbYDykhHBcpfYyGagzMLkegiihKus6nVmp8tc4opBcBnRvyIFP460cKpfcKq59SOmjQaVMz0x3Vt7x2ixeUMWazoL5MJhM7Ozu7lCrK6Ag/J41oPn3qjkAFm+8TP1TkaH9/P1HQxPPIq/TOULqR3hlKuVM7fdqY37fT6/Uyo1DcYE+68squXztax/xR8QgVYFFbQgojnW7e0cPrZchMp+dFX1j9VvTm9wDydyiaogipV5Y9bUru6tgKGfrsS6vVSniA6FeFe4oq42UhQ4wZL0qVK8NvRqNRUriDCr9opdvt2tnZ2SWaUAZBp9O5FJmSXND6J9/Q/Wyr7tNY08FEp2yoT1ynqjwYckAwlVBjJprzdEPQaczjaMg76DzUs87Ozuzhhx9O9Z/jbnahB9DIHY1GqQIs24LSRtLTn/50+9Vf/VW777777H3ve599zdd8jZmZPfjgg3b9+vXKG3jVEPKCeIbnjaaqIgUifO89k6IuBkAFSW0Wsc8yknQfld48pkYGIvjKR4T3FkpoayFTqWFNf72HlZV0rVn6xG39FhOQMt9sNm13dzd5Jw02tb/T6SSVf/QMeZhbrZZNJufV0j7v8z4vFS6n4khDgsyXxob2U1BZ83NSBbynyz+fjJLKjjeSvMEgpi7mS4VOXmfNtVeKysCPC5VGGTXy8Gmu1RfNu+ZXYyEjyQtCeX71m+8NreV54ceKexdCHk0PtXk0GiUOBiokzHvXMykkyR88fWS1V0oL0zvo5JASq4hEFeMjI1BVIX1arJQW7y0nP9Z9PnLGMacikTUW+q4qxdI7ieQY4lojLzO7cDhImVKfFGkvEkniHDHKrTXEiDfb6I0kjlOv10vtsxRCRr93bGke/GHVpHGtYzrIvOzimup0OqkqnJxvrjcdEaD5N7MULe3v7ydt5oZ/tV3jpO/1zFqtdmk8aFh5x54HIxY+8qO+Uw85ODhIzZkMXWVNMCtCa4rjsajMYbsE0YunI/HcLD7Kvk6n504vFTii0Srnkviff4boR44ArV2uYUbBWexHPIO/yVu9oROicy8vh8Oh9Xq9lI6oCLjkDfm4N5JCoF6SFR2kbFek6caNG8n5geSr7IMMdY0Lo5RV6yjLRmkj6Qd/8Afte77ne+wLvuAL7AUveIHdfffdZnYeVXruc59b6llvfetb7TnPeY5dv37drl+/bnfffbf9xm/8RvJ9r9ez17zmNXbHHXfY0dGRveIVr7AHHnigbJM3CnkE4hU6r1gt4mXlovMCXylpZOSMXpld5OQWMZL8wsxrb8hwy4sk0bPjoUXoBZaiZRLwWUaSnkEBQi+kP+yVY+PnTs+QUJlOp3b77bfb0dGRHR0dWbPZvLSxUe+k9yk0XjLY5GGikVQ1PM3J+Ay1Vcww9AwKIs0RvaiMJonW5OX3nqci9O8FD+dU/eH6En3ISPLFPii0vWeX/dNzvdcz1OZ5hQUVOrW/aJQ5pADz/C5GCaloUcmlkVT0nX78GcHy88sUpXng16CnYZ9OqLQV7nfgc6ichRQ59UttzwKVuyLe8Fl9DM2Z2ukNQm8I6Dv91lxznfK5fDbfr7/JR2U0cB48/ZCP+Oh+qI9qD3k2o7uzIKVe6zxkJI1Go6REv9m5ore3t2d7e3vWarWSSrM+TZMFAUhLilTWahep3qSX6XSaRAF1PxVORnJprPrUzxDk9PP0rH4Ph0Pb29uza9euWbPZTBm+oimlq7M66+npacqQqsrgJ8gvaIjr2jx5R/2Aa2A0GqX0CvIYRlnZHo09Ux35nWQxHaE++uodhD5VO8vRxPeEosBerug6v583K5LEZ/mjXPycip9IR/T0yGeqLZSRckSyT9uE0kbS3/pbf8vuvfde+8M//EN773vfm3z+VV/1VfaGN7yh1LM+//M/3/71v/7X9uEPf9j+8A//0F784hfby172Mvs//+f/mJnZa1/7Wvv1X/91e9e73mUf+MAH7LOf/ay9/OUvL9vkjYJX0IRQtIhep5AHrAx4H1MgtLC8oPX30pMSeiaVfd+3vDZT+dCimmUkUXhSUItpiWFJqNGACVWgEdMyS3vTxGipRCuthAalvOxi3vTEj8djOzs7S56pvul5Ie+290Kp3/qtdD16UouM9Tzw3mX1mRta+XmoHd7DTrqjl5nRCRnvZrMFYxFQSQwpbZxXeh15n57DSCmVO46TF2KcR//ZvH3RO5jvXcSz64XyZDJJBJnfM8K1E/ouL3pCUPmq1Wqpkryefhc1INQnPoepcD5tVPn4ZhepMqQVPU+/mUpL5cTsYu9CqP96ZxV9JK2FCmlwXZlZJu0LfoM64Z1q6o/WAWkgtL+J61uOKyq+TCPyPJ2//dgxW4HXaXw4xjKAuc+QzgWl16mth4eHyflociIKMh6UVaA0ovF4nDjSRNdK955Op6lIgJmlDm/1xRnolPNnLtEJmAV58kORRc3jzs5OUqVWBg/5oWQn5RL3J2qcFwV5pTdgGa3VtVp3eXyO/IbvoONN4+gdCNSJZBzI8AjpRpprv960DklrGlsf8fJ98UZSlhM2ZEyJpuXQyxtz7wgxS5+/xy0C+o5OBRri3gii49mv221CY/Yll3HXXXfZXXfdlfrsy77sy0o/5xu+4RtS///Yj/2YvfWtb7UPfehD9vmf//n29re/3d75znfai1/8YjMze8c73mHPfOYz7UMf+pC98IUvnKfpawUXIhVCszThhBRj/9087/Z/i1FKqEnA0ZDTby260HNCnhIij5HSS+JTNkL3eUHin0Xvlvqzs3NR8UcePVbrUclt3xe9R4Jd48V0oTzhJQajlB+lX6hNSgOgkGSEyUdn1Hdu5pWgVU5x1UYShSL7608npwdN0PV+v4CZJUoA+0/lU4qBvJyMNhTpIw1gvc8LGq4veqWZAsgIkZ4jOqXywbOeSKN5bV10rjx9FI3qhAw2KtX+e/IGOm7IK7yRHHonx1sGqfZCCBT288IrEmbpYi7sn9rUbDaTedR+P8+rQ1EmGg70nEpJDbXLt23ePnJc/Vx6ZxwdMvqcMocp14KXP96brjVM55lfS1oHep/npVR6Pb2FlEe9i/Sn97K/nGMqdTSSWq2WtdvthIfqTDTtO80ab8oU8uput5sYVEqB2t3dtb29vSSta3d31/r9flJwRz/UB/RMyQKmj9MgzVM2ed4N2+7Hm2XsGQWVDFMkTAo/53o6vYjILOrAUn9ooIQcqKSnLKivVPbVbxm+kqN0uupeRmSoF4RSbHWNxlmpqzS4fHokZQfnxfchNDbse0j2am1orrIiSVk0RBnCzA7xa31GWekjceQbjIZeaSOpTPTmPe95z1wNGY/H9q53vcva7bbdfffd9uEPf9iGw6G95CUvSa55xjOeYU95ylPsgx/84NYaSWYXwsUrlVqA8nKIWfAcjpDgKPNuLzS4cVlpaWZp5VjM1nsm/EImww+9OwQqRIqQeEFHeAVU+yrEMHiQrAQSGSorMNFIojeEjEECm0oHy27K6PLtM0vv6fDGm9pCxqYUCCojobHQ581mM8lFlpKzTCPJG7T6W1GfkGLBaIOPBul/rQcfSTI7F9JKeZyHuUph9QaM/iZD1xxrvpR77w0J/e37ypRUKpKzhHpZULB6+pjFH7wRq/Yx3YapcHwmx7+MkWRmKUVB63IymVwaY7VlUTqmQqj3+zZy/uV0kLJYr9cv7XPxezZ4ntl4PE688lKG+S61RYr6ov2j8ksaIP2yn6QZ8nWBRpLayn01fCeNHjrPyB85DxpfKYg0bvROXeOV8KzUH0VoxPNFx9zP6uUT3ymjQ8bKdHqe3sv+EhxbOomYjqaxkcGt+VZGg+hdezkUiTo7O0voj/2XA2E8Htvx8XGiaHa7XavX69ZqtRKdQePKORed0iClcUCZ4feYMbuEslJ95DMXhZ4pWUZDmpFLGSmhsuoeXB+DwSDl+JDcNLuoukjdivxI+0+1HphdQr1IBoTmgvoD6a/f76cik+SfBO+hYSL643rWM0JFcbKQZbCIxvVcGepMjfcOQr5Tv6kXyJiWoVUFzawShYwkneGyDPzJn/yJ3X333dbr9ezo6Mh+5Vd+xZ71rGfZxz72Mdvd3bXbb789df2dd95p999/f+bz+v1+yiNycnKyrKaXBo0J/dZnDP+qGpMW4dnZWVJNaF7hSsWQxE3lUIab2iqjxeyCSTHEH/J2sH++33ljos27e3t7Kc+4h4+qSYFWG1mxZTQa2c2bN63dbqcq3MkY0cJnv/XMbrdro9HIrl27luofq/wcHBykPDlS8DRGPIeFykxI6ep0OqnwNueo0WgkHju2QdcrkrQMDw0rm2kcWC3IK0jqjzf+9T+92fTC8R4qt/I+00gvugaUQqN9BYI36vmj+X/kkUfs7OzMjo6OkvapH6qY5tcUz3xiWoIEHfs4r7OD7aeA1PgXKXrANUelejweJ4eFa26pVKuvZpcros0yzKgs66dWqyUedkY/iqQM5oFODgpnrR8a6+QnUjqVFiW+wXNnpHSNx+NkwzsjyFQQmKI1mUySggCzxqtoH2m8ir64pug0kiOIyhP5BY2X8XhsN2/etN3dXbvzzjsvea71TsoSXaPxY7U9yRbxEb1H71e79L9XyDlP/rN+v283btyw8Xhsj3vc4y4ZjX7MvPNRUBQpC1zL4u+NRiORNwcHB5doSePfarUSxwDTdK9du2YPP/xwwtdknIjOms1mkoXwwAMPWK/Xs+vXr1u3202eJ9RqNTs8PEzaIJpQJb7r168ntKvvmdbOrAZvNNAY0N+61u+1mgfiub1ez1qtlj3mMY9J8XwZKJwHL2M4DlyDp6enVqvVkpLqgpzD3hDXvZqr4XBoZ2dnNhgMrNvtJryKtE/ZRDlCp4TG+Pj42Pb395MK0WwrQXozs0S2yPDQNTRgfGRJuoTeQ/jod+i9eq76KP5GXqPvdK+MIDmWWVacBT+2CYWMpHe84x1La8AXf/EX28c+9jE7Pj62d7/73faP/tE/sg984ANzP+/1r3+9/fAP/3CFLawOnlC90mR2oRRKeffpZ/MKWC9saP1TgVGbyCj1nSfuokZSXntDHvm8SJLaRa+mj9jI00jjhZ6bwWCQFE/w+5+kUNFTJI9qvV5PKmWxv77PZE76e2dnJ8lvZ7ifCm+r1UpKknqPL5mpmKGMOwrLRZUvD/WDTFg0KgaZJbhI297gJXPV86U8idnqmdy7VBR8pzZs03tOYcK2mqX3lWi8pVyTNhgZ4FjpPs4tPcWcz3nAdSeFi0ZckXHhupES4ceGBrufW6be+XUYgp6piKNoyOzyYc5l5zqvr94IpEGsdwpaf0pnlXdYCikVTO/lpoKp/hJUDkgbi/SLRrqguaXhwbVAXu15lk+vUbv5Tt0vY8dXjfOecRolopFms5k6301jF4oCcc58CpSZJXvbxNdluIY83OqP+qofRYNm0RydVqJhRntuu+22hDa0yZ3e/729vdReJtK/6IzedvEMRTJIs2ozx6vX6yWRMPIF8W4p/2aWivxrfZBfS06Fzkckn6hinTLyKaOexr7XERi1mfVMOkZYoEZGIuUp5asMe865HwOtM0XA5KikASUZwSiM5pb6XEgPEt2Mx2Pb3d1N6KDVal1yFngHSahaJMF1HBo78XzK4kajcelcxlDklxFRyRaWMN+2dLu1t3Z3d9ee/vSn2/Oe9zx7/etfb3/1r/5V+5mf+Rm76667bDAY2M2bN1PXP/DAA5f2QxGve93r7Pj4OPm57777ltyD4vCGis//N7PE672/v2+Hh4d2cHCQpCJVoVj5v6kE0kiiAiSBwGv5HG8keWNpViTJ94uLyN9LBuRBjzG9KXqmxlDX6BBX9tMsnf6hcLvGRl52Mju1XczQV2qiUrq/v5+KwlDoy9srTyIVS/Zfz9TnVI6rNJKoaDBdg4yOAkb3eMOD1Z8EhvTFgClgvBDg84r2UW2RsOK9VJYpCDUvFK5SYuQJ4zqhIhpS9vVO0WKWYVYGXknmepxlKIWcMto3cXR0lETcpERl0VbISMp7p+ZZz9X6o/eRgn4ROg49w3tZQ0aSCjhMp9NkI76EvDfcadTrXeSNfjwYyZo1XkX6x/XG9eh5GGlc9GsWNpK8ESJHgHfSmV041BhtFOjYCfWTETcZ4uqHf48fbypf4vd6Z7fbTd5BmtWP6JkGPwu0zJJTNIQ1JuLZcsw1Go3kgF31h2mbKqmtMTe7UEr39/eTtDyNhxR5GlLNZtOOjo7s4ODADg4OEsNI7WC/6VRkyW7KFJa+Jz9W33wRG4JK8rzwPJmpatSVdC1lTN4zud5JK/reywD1R2g2m9ZqtZIfOqz5DkbZ6PwJ0ZXepXnxKcuCZJbex8IwpBuuc/JS0ag3fvXbyw6+l2ucjlylvpPfkCa4zkgXe3t7qbHYNiOpUCTpuc997kyiFD7ykY8s1CAx8+c973nWbDbt/e9/v73iFa8wM7OPf/zjdu+99yZlx0MQQW8iPIPh4uRn3nCiUJ9XgeAzRcxaQLL+yYh8epC8hj6nnAsupHjktZVeT/++LG87FTMfJqe3iEafoP6RkagdejYNQY2RUgH1fG+4hMbBMyYxMDIYeaBqtVqSt25mibCn94mKh34YQfAGWxWgYqmxkFdLChWZvhgm50jzEvKUeY83hYvezzksyoO88a42yINLUAHU3NCT5lM5qehLQEp5o7KnvtFTR+EQou2iYP+80pblOQzdrz6qLSpzLGNLfeR1HLeyRpLu4zzv7u5eMvoWTbfzfTRLe5bZdrVJ79/b27MbN24kexm11jW/9JQKIW8w2z+dXnjwOaaL9M2vNTrcvEIfGg/vQdb609xTaeR8iVfznVTySCtU1iQ3xLe8QignhXcwkK64Ns0uVxJkUR7OCSuBimepDzTY1McsPuOdRJRZ8t6TxnzxCa8c+ncpfY/rhU48yis+q16vJ5GGXq9nh4eHKb5AI1nZKWw7q/qp/Yyc6H8q5KSHRaH36LdkbChbhO8MrSHOo3iY1iszLrwBpfuoG4SiTb7Ut/g8aUPvp+zzcy8DUDRNR6rnJ7xXbfUGmHcwif6kH1Bf4T0hWqdxqrZ4BwqLfPm1Sh6nNjAqV1SObwoKGUnf9E3ftJSXv+51r7Ov/dqvtac85Sl2enpq73znO+13fud37H3ve5/ddttt9upXv9ruuecee+xjH2vXr1+37/zO77S77757K4s2mIUjKiL4POuaSuK8XhsvlMzSC9Xs4mwFeljI9Mm0+Fz9772ZYsL8TbAdEmR8VsggpAAmY9FzfMlQ3qfPlPriU+0o9Bl1EpPh2QpKhSCD0Dw2m80kLY8KWL/fT/LGp9Npqmzs7u7updPNyezUTkYnxLzUb6XxVQUyXAknr5SH6IGCIi/cH1KevSeR8IpeEYhuKcj8/fyMdM6+t9vt5HulclIx5Cb+rPZSaVlUSeZvpd4wVSQLHHd6iEVnLD4g0GkQ6oueO+udVMQ1z6Fy/6E5KoMso8VHggTOpcZS+zH1v1JdSN+iFaZckT8J3AskHlvEmM2CHx8qbOoXI1feyaF7CPJ80oQ39Ekr5MOkKTqjeK2ezT0VVO7MLqcycl3qHn0ng4KluJUaTUVSzw1F0ZjKyzXvQXnjx8uvAfVT75GBIo96aOypSFP2UonOa+Pu7m7C45SCqP5pbDSXSutTOxnp91VFNV6+vZobz/PmgZ5DPcMsneopGiySUky9hXNN+S1a1Xd0GOt9omWlAIa2G4geQ1FGXwxD/RMt+iqabJvmRxFKPZt8w7+TMlrrTJ/pb+qQIZ3TR4bJC7g/2UeSdS3nkMa83r8orawDhYykH/qhH1rKyx988EH7h//wH9rnPvc5u+222+w5z3mOve9977Ov/uqvNjOzN7zhDbazs2OveMUrrN/v20tf+lJ7y1vespS2rAKe4fPzEMHyuqrS7SgEu91usjeHhsFkMkly8/leequ9F1FtZHv5HY0ZgZ4peY+U2pKlfHGhayGqGtV0erExVcoXBRkjBcPhMElT0DvocTo5OUk23HI/ga6l8qTxEbOUZ85jMBjY4eFh8hwV6JCSdXx8nDAejYeuFcP1Y08vt4cqde3u7iYbVYui0+mkPIwUII888ohNp9Nk8yk9gX6evTHEsaDSSmHtvcllPU+kOUIMnV5rM0tF+ES3p6enNhqdF+4Yj8eJgJWCoXf46NHNmzdtMpnY4x//eBsOh6motjeSSCOKWGrvWx68946VL2cJodD3GnPtF5lMzosMMJeekYput2vdbveSIM0CFSkaw164ytNLvjEvFPk7OTlJ0pS48dkbSWqHvMfkIzTczc73wajcs6A1GHLucJ9Fu91e2JlBj7Haw36o/+Px2E5OTmwymdje3l7K+Gg0GskcquiA92zrXV42mKWrqXnlzkdsNNdSDsWraaAwxVn8Wfe12237zGc+Y4997GPtMY95THK91on6ptRo7dmYTqf24IMP2uHhoT3hCU9I1gn3hHIcs+aEa8sb2d75Jl6u67Q3iYZy6Nmj0chu3LiRinDIiaC14TMjiFrtPJVP65bjT95K3qJCAo8++qh1u13r9XqJPBuNRnZ8fJzIDhoqNNqq2IQvHqZImPa+iJbG4/PiVbqWYziZTOzRRx+1er2e0AaN93a7bbu7u3ZwcJA4Omi0K4WM/JyGAGW75kvvVf87nY4dHBwkBxFrzXnjW+0Rvcop6mWkxp905ku6q61m54WUJKtozO/u7tqDDz5oZ2dn9oQnPCE1ZmZhI0nPHgwGduPGjSRipM9IQ9TB9Mx+v5/Mld4hnarT6Viv17OHHnrInvrUp85JLavHXOck3bx509797nfbn//5n9s//+f/3B772MfaRz7yEbvzzjvtSU96UuHnvP3tb8/9fm9vz9785jfbm9/85nmauXHwDJKMVr+zDCmvqM77biqGZmkFhgYRPaNUIvQsMRAqslmKB38TulcCUdWl6IHw99FYyxLgbJ/ukQIkQ4jMnYJfCqIYt4Ret9u9FGlTCqL3HsvoU5RIbSAD1gGzNHQ8A+T+DXq8xFjVT7WVfe33+8ln8kYVBb2yNABEExKkLL3rUzD5O1T2k7TsveA+pWBecNyo5IgW+D4pNGaWjJ0MU9GLT4Wg107fqTKaqiPSAeK99d5I8spfXr9CShuF1qz7BQleGS/MZRcdeF7kN0DPmic6UfQes7R3Xmls3gCYB56HUUHv9XqXynN7I4n0R48pUy/1m3zAK9xsA8do0TK4pB3StPqieaMCrs+8Eq5naG7UF28kiWZZcppgO9gGVo3TMzSmTO/yqUVUxrSWjo+P7fr16wm/Y0rU7u6udbvdlNOg2+0mjj6tV93D8fG8IWvMNd+MAPDwWCm+PkqosVWUyzsAuW4lczQ/zFbwDhkPn3antSZHorInWBGWVXXVFh8pYoplyIBehJb1HskSzUuv10sqU3qniRxWom3xavJDPpN8QH0hz2ZftFa1J4u8gDpDKFpE+ecLUOgdarNoieOuPtIZqmtUFMLTrXixHAtc7zs7O8m8M4U5z0iivFNFQL/3mfTLsTW72H8nPsv+eR1xW1B6B9Uf//Ef2xd90RfZT/zET9hP/uRPJoUV3vOe99jrXve6qtt3paDNlt6AIOHkGUn0vpaBZ/xc0GSCVLbUBi5cIfR3Vkg+KyKke6XQ61oK8qz7qGRy0aov9Fb7dio3lgoNjaRer5fyoJtdlLXVu2Vs0bsuRiFvvBgYvfwUOhIAfI5C2hK6VFDZZypy3kBTJCtkBBYFDRgq76RNerW8ckFF0TNRXqN50Hj6vqg/fi3MUqB9m5jixPQHCn4ZSRTUZhdGKVMauMHfK5Fst77nu0Jr3Y9ZEZBG/V6OvGd4Z4k+k7KpNciIQr1+UdlSwjwURch7Jw0lz8v8HqQihl4euNboZJhMJpfOPuLfVDx2d3dTnllubveOIymtId7Finh6Fw2nRfpH3qf36Xv973lg6J10dNF7TiWYqZnqj9/Qz/GhXKC3XN97/qxxYsU3jqFX3PUsRfS1T5LOC9K6+K1AmecN29B4U2YwosJqpTQmOAcyyqUcaw3ozCQq6hozr/RSDnB8PXZ3dxN6FB2rv4ziMVKnwi2i5VarlVTiY7u5JikbFwWNF54xJaOXjhVdH9JLSH9MA+OaozNSfJn0ru9E37pf4xfiSzs7O7a3t3epYAfL4PNa7xTk+uF9k8kkkTWUjxpz7smj7NRckdeFdLaQM04GtdrKeWe6HTMxaMjqWq1LFSDb29uz3d1du379uj3+8Y/PJ4gNQ2kj6Z577rF//I//sX3iE59InT3ydV/3dfbf//t/r7RxVw2zLGkybG9IFa3CEwIZv1dEvXdFn3nPEZXVkPHkjST/f5Zw1kKnh84LRf8c3wdG2XzeuU/3oFfRh9Cn0/MzcOhxJAPls/kdjQhvQOk+MV95dehZUdtkMCpFi6VOffqiV9TkhfRVubLGfha84kPFxCsCjLD4ufIGqZ97XSdln/+rHYt6n6iUaZ4Y1aHyw7ZqrpSupXGQgPARAo4BI3HeSPIGFcdyFkhznleEjMys+9lW0q2UCY5FaO8d3zmLJ9GQpEE8Ho9TSqLgjaay8MYiFR46UgT+3e12E3phGWf9puLFdGH1h/SqsTS74N+Mos0LGhzqHx0nVG58W2gQ8Xl6DvvD9FTSFueQhq6uIa/yZw/xGraBvNXscuRXfRCv5TqUEqksAfJZgSnQihBQ8aQTKgS1h3xXSmxovwWdFnRi6Pyd8fj8DB+NkYw8ysHpdJo6P09jkOcsrdVqiV7G4wrMLqJGLGjg51bXy2Chkk7eqTHxWRnzwCvXOpNI57jxnRp38lmB8pzrlLJa42J2UXxA3zPtjunXNL59Wjt1DsoVjU2ozWo358YbI2qD2ik61/ehCL7XRTyf83IjFEliGjWdG2YXETw5gvU9eaOeT12Okc9Wq3Wp6NWmo7SR9Ad/8Af27d/+7Zc+f9KTnpR7yGvEObzlr7+zPvNMaR7lgYuCSpLZhZFkZqkwMOvseyVHzF/f69mEV2xDkQTtmaEnxixd5jJ0HxUzfu+VGDI63y69n+84OztLpdBQ8ZCHRcLDz4MYhBiIlAApJooqdbvdoAHJ6JG8f4x+cf4o2PQjwaJnHRwcpJhRGbqhkuk9iVSkqNjQi813UYj48ZICoGdQYPB+34cifeE1pFtfvch7xmnUqe1SFqQ0Ml+diqT3cPq9AWxP1lqe1TeOAdvOsct7Br/jPCuS5AW72s20KK+0zDLMNC5qp+hZ6W++TZqDeeENe7OLfZRajyEjSSWytcb1LJbkZ/RXfWDKq95jdrFXiMo4+zmvIeiNXEZEyBvYPypPnh6zeDjpmgUA/P2UD5QrUsRpNNEpRDDFjzJGz+bcsU3qu5Q2RiJIy+K7XPPeSJtlIPlxGo/HSUlupkJpfMgTxdOVRsb+KrvEy6vJZJLwdKbx6V1ZEH8ysySaJBpQmrfGyleS05iIZnnAOyMGNBQXMfj5DPVLzjNmYRA0Snx0kIYC17nn6aQfPov945xQTyJoXKkPonHSlHcM6HPvvFO/uUbEL0VDjDCapQu3MO2X39PJxXsI6Slermh+9DxFiegYooE0nU4TmpHTVs5w7nHaFpRubavVspOTk0uf/+mf/qk97nGPq6RRVxneSidCRpLgPWxl4IWCiFoHfFGwSglQKoD3iPhF7r2Q/jrfb7aJJ4s3m81LHrDQfWRgTNMzu8jZZpqNPNX0qvp0Bl3n9+BQMHIcVFyCwsJ7rvV+KVu1Wi0xZHSN95Rq4zEVLfXFn2Xh50LXaRy9p7askUTFlnnrGjcxY3rONEaMEHnjgfNPwSxDzxvwFIJe+ctrv+7XfgYKOz1fNG6WLrXrFXQZ7+qH0iU1HhSuNJxYYUw0x/087MtwOLTT09OZxgGVftE06X2W0uLnQvcywkEhRwOTfEPj5sc0651m5+vzxo0byZzLKNH9zO+f14DQGHnFVvPAda1og3ix+tRqtVL8TIJe65K8W15d8hv9LScMi7+cnJwEPdLTabrKWJH+eX7j19NkMklV5aPRzvElP6Ehw3Qh743X/yGZ8uijj6aKJOhavUMKqsC2m13OmhgMBgmtSKknL2f0nso89670er0kOqj+tNvtSwVIQnTnea53YLK6pIxmQsbUdHoeGWIK5t7eXrLGuL9J64OykA6NWeuDG/1rtVqyv0TRKxUPYKSUBp4cepoPtZP0pXHJM9iIyWSS0D8/k0HT6/VSURTNoa4TmAXiHWrk/VrnogOfJaBnMdJGQ4cGq7+f46/v1Bb1Q+uNa8gbRaIVjaXmQzTDtFTpEuy7aN1XI9VPp9NJ5px0HHLUSleiU4VOYo0Py8h7vq1n7e/vJzJVNC8Z588+3XSUNpK+8Ru/0X7kR34kVS/+3nvvtX/xL/5Fcp5RRDa8kDG7vH+Hf4spLZKmwfdQaOjHLL2HYjgcWrvdThiU97JRic7yQjLiwDYIUjzMLGEGVEbJSP27fRhY48P21Gq1RJknrUoYUTBMJufVzDjOEnhk2mJ0PP9CjILjQC+zmV2KRIihUKnRZ2JETJVTIQl6bdQfzqnKiBNZ458HtUttkyKhdsqg9Eal8siV/6/5YOlVziP3vrTb7ZQXzCsj/t5ZkJIqRYiKrOah3W4nDNvvr2D/Jdx039nZWcqB4KNJUj5UoUnPkNJDxV1ot9tJRcFZ/WLb2GbSRtYYUYmgsi9F3uziUFUqwhrP6XRqJycniUHn12II+r7dbtvp6amdnp4m4ySF0bdt0UiSHxP1gR52Vakzs1QePhWTWq2WSsEVnfv1yOqaUjJpVInGu91ukvpFXq71xPHIG0vSQOjMEhqBjAKqj4Taws/pCOH7uCZoJIl2Tk9Prd1up6qVqj0aT/FNvVvfU4GjUio+zP2ijEj5CKWeLcVMldP0fj3r0UcfTdEi2+Phx48RRe0DEl2EInKaH82xlEiNhX5Y5IL7qMi32JYsyEDV2Kkoku5VZIrykbxKFSy1PpiVwP5l7dMJodPpJDyAkKyV8SBdgLRHhFLs+LfGWXSt55MGFMWmcegj/4wIyujwRpLu0RrrdrsJvdG5SAeA3iWeojZLL1MbZYALWud0emgOaRipPYPBwG7evJmsR73Hz6HZhYFIuaD30Dlolo4kiZ64hqRHqfptp9NJHPKDwWCmjNs0lDaSfuqnfsrOzs7s8Y9/vHW7Xftrf+2v2dOf/nS7du2a/diP/dgy2nilQAXXRwRCkSQqjKHoUxGEnsnFTiYgRuDLPAo05Gg8+chRVsTJzBJF2+xi4SvvlpVU6KX0z6YixPx4Kmxa8PqbjIrMhUxbHr9QFGY6vcgfZ/lwKiJSMHU/q+7s7+8nHj0f2mc6iT5TxMrnZus+5cNr47JXPMws+FlR8GBRCXMJUs2jPtd1XokLCTm1J2T06TvOHemvqIFkdnkjO5k6BYAUHt3jU66kgEnhkHfc7MKrqf6bXaTDMMedXl22iUoi2zwLpB8a5lQ2s8A5Uhs0t2YXXmgZDEphklFDo4NGetbceP7hxz/v+nmgtlDp09ryqXFmF3s1ptNpotTv7e0la1xllT0vVn9VNWw6nSaH0DKKpDE3uzAAvPd9lnHr+8Zx8nsg9V1IuWTU0b+f640FFGhs6vk+5VjtYj+kaJIH00jydEv+7JUzRrfofadCq/s034rMiW5ltEpZ17t9cZ3QmLN9NBC5iT20rtg3yTkeoKzntVotOzw8tOvXrydGNmnU7EL55DzMQqvVSs6NEl9SBTwf8dY8cRxF++IBcgiQhnguUx7UZh9JosxjBVkaYJTH3tEoeMcqx0jX0lHGPtP5of55JyRpw7eHVebosGVqoPgpU9VCKW2TySQxlrmnj9EbRq7YRkaWzs7OguvY7PIBtYxu+nUtXUn3s0CF2kxDV23SESpySOnzWdVbNw2lS4Dfdttt9lu/9Vv2v/7X/7I/+qM/srOzM/uSL/kSe8lLXrKM9l05eIUt73uCXuOyhhKfSQ+r2cUm1slkklSTofDSIuBC1MKm8pxlJHllysySsC43jmrh6NwCnXfhhX3IWGDqmh8rKr/6X9W6ptNpEhWQ54PPp7ItQSGPO6tA8R7lcNfr9UQw61lKK9ReLHpuGo1G4jnUWTxMAaNyrfliqgnbG2LmZYwkr9CR5rxgUbqRGK1SJjUmNBQ4N2TypCt6SllIwAusWaCSRRokLTC6JFBgUxliuzXmXnn04yajMeQQ8ShqJHGO6bX2aWBZ8HMpcL2K/ijQpbT481a8suAFoFcwlOZEBdrPp4TyvNA8sX2cGxoqNGi4GVkpRmdnZ0m1SCqRpEUpNVJwFHmdTqdJ8QeuWa5hjh1/5/WNa0Xt8amEfE6tdpGuq/9DvJLrnYqcNzppkLDdup40IOeNVyC9449t5pzpc9I2SzOTjsTXuRb0LvEnnaHklX3Kjyx68o4+OfhY6pi0rjZwvHWP1hEzLmSga9+S+qfnCkWiN96AZqq4ouIsmqTxZmROMkzyUe2gvCYfnwXKU9KC74/ka5bDhxFGQv8zHY80pj4fHR0ladhmaceF9m+pf5RJIb6i9uhZ7NdwOExVG5TjTfzNr0etL9EWI9pqi+aOTl4+Q/zMO3W8fCFdeYe1+kI9ifvEG41GcsYT5TydUmaWyJHj4+Nk/EV/24S5zkkyM3vRi15kL3rRi6psyy2BPEXWCy9dR8Jb5J0M1XqlTkKEzNzsguGMx+PEe0gveshAUvu9gk5Pid7hD3/d3d1NUq+4eZp98UxFjF3M1SvTjIB4xqP9dUdHRymDkZs6xZAODw+D80CPlowkMiY9Q155paVxY6Weo7bKqPJRJypmHOss49kriUVAJdq/i0YfjQNGBzj29FKpPVRKONY0CkPvLAq/xvx7dnZ2EoXJX+eFl+bEK4Msj8uUO9I8jXjONccnNF6z+ibaD/EQKrWhMfN0wrWpyKTaKKHOcsHac+PHjUqwby/HRc9SupHS3MwsMTT8/JdFSPHiuPpS7zIGfdUlpkixb1Qw9C49h8obvcA0vqlsCSHDNQTyAY0rFVsq9OR/pBnOEZUuOsbYR/F/rgs+Q9cwCkCHFPtGwyUvbUt8MKQI6zuv1POZfJecbv1+P4kOat+Z+DAdNnnj7pVWGjl08HhDXP3TuVFKvfXyU+NKJwHXs8bTO0my2qv51fgw9ZuVx6hQC3SOcK172V7UoUEeqvXEe2UYKDLraVgQPdIQJM0z1Y4Gs2hAB7qTL9MYV991jV9v/F59kdzwqa/cnytnqO7TuFLP0N8hfqT7ebQIx8bTOzNavCOPacfq197e3iVaUF80J5onHsjN+ZhMJkm7RasyDClPtwmFW/vf/tt/s2c961nBog3Hx8f27Gc/2/7H//gflTbuKsIbQSGvXt71Wd6VPHilz3vOpDSy0pTPOaXyou8YSQrBK1PMC1b4Xu+X4POH8/F+/u29zRw7KrUcAyr49Jo2Go3kTBQpcdzwrHtVyYjP9OPTbDbt4OAg5U1Se8fjcZL6oD1ZZBr9fj/lkZbniO9iX8XE6PH14+XnoAhCCjzfQcVAikDIMz6dTlNKsD7n32Sc6o9XuCmgaFDM6oO/TnNNQco1YZbeO8HPqeipbfRQSghTEHEeqRR7euaaLNIv9k/zMs88K6LJPVVaO/Jk01s+Ho9TxVK8ERZqP8eDRqjSRKmgcr175bhov6jQCH59sO36nPshqXyJZ0mBEY/wSixT7vRuOZXIq7xi4cdtVj89vfh5oNEm6HrvOTezlNJGxV79V3/1Pl7n3+H3HtIgo3LPz/kszn+WEur7Sr7hn6c2a2+gnq+IvpwmNARC46/59UYulUbKML5ba4bK6P7+fsqxJLrQuvB8V/Siueb3s2iFCrXok9XqNCbesNe46PBb8nHRhO4rGkkiL6BcZF/UXxZb0L18jqdTfe51FW+ESO4qZZrrmjyHOg1p38sJGVqMpPh1o7bVarXESGbf9D/lBZ2Ggp6te7lu9Dej/VwX3skhnih9TJEhOiu0TjnfMrTlAGEbZIxzXfEerYWi9LIpKGwkvfGNb7Rv/dZvtevXr1/67rbbbrNv//Zvt5/+6Z+utHFXEV6RoMAKRZL0t08NKAP/TC5QRoW4aPk+v3CoXHrBRXivCyu7yVOkvp2cnNiDDz5oo9Eo+Y6eJz+GYmhawGSmYpa6jkxE/aLQvnbtWiqK1O/3rdPpJEYjhbc8kXoXmZSYQavVSikfGt/pdJoq4ymDs16v2/Hxsd24cSO1l4XKBL01YnBS1imcOd9+zovCGwYaL4b5qTiZWcKYmZ+vdnuF14PKGeeOAi7UtzLt9+Pp8/DVVjFxT7v08p2cnFi73U7NA6sS6RncuMu2+DbJwFJBjCLQmA6HQ/vMZz5jx8fHqedlKXtaH6PRyD71qU/Zfffdl6STSaHsdDr2uc99zh588MFkzDT/nhdQcQvxJSpALH+swyu9l1pjxfaPRiM7Ozu7ZHDnQfMiI4cKOunAzFL7+WjcswiJ2YXi2O12E6806YMKjNJ2uA5I217pI/L4O/mv3nVycmJnZ2fJ+3yVQCpQPirr+ZT+pnLto3udTsc+85nPJA4ltoVKqpw8VMrUB8+XqPSST2td3Lx5M7XhW32iw0ZzpPE2u7wPi1HD09PTVAGWPNkqJVGyivtYfQTLzFJn/ZyeniYb+rnHR2OtH9GV5o1Kq/rKNZLHV8WTHnzwQXv44YdTRoHZuaGota5nar6oL+zv7yeRGn1O3s95mwVVzCNt0RnJoibe4KZiTR6mZ1BWk4fT6SEjaTKZJHJY71P/PJ/WnHoeRVqmzkGaDxmQoj+ztGGq9aHoIqNAgvQLGiUa006nk+q7dAuuB6/ziZ8qMuSdgtxjxEI0chroeu5vkw7g+anSjtvtth0fHxeil01BYSPpj/7oj+yv//W/nvn913zN19iHP/zhShp1leEXmzeGQgaN2eUyr/O8k4aNnqPFyNLEWuh8J72WWoBarLOMJIEMWu3Ss8QwFCY2S1epYl+8ceLzhpmmxo3T9NpJMTo4OEhVJ6Kg9kaaPFD+lHU+t16vJ94iM7v0PDFAKhPqtz7zHmJGr8Ts1H+mE1RlJNGwM0t7urywojCQgat7xUyz3s2++Gv0Ob2EWXSW9WxeT4N+Z2cnUXoooDgf3nnBNUCly8xS6R2aEz1PUVqBUUAKXObT580VlV6923vCZ3nqaMAxGqw0UUaLFCFhilPIoz/LSPL9lrISqnxID6dZ2us8C16hyTKuxeN86gh5DsfHLH1WFJ9J+tBaZSqn6FzjJjoJeclDbSXI53StlFiNUdaa0vU01EMRQfVVfErvZfTA7OI8O/WJlVLNLqJHlBt8r+aBY0IZRGWYYxzib3wm17N4rtlFqqf2lXJe+f7QmNETr/6RphkZo5LL+3ioLOmOCqcKU9DTTzmnd/C5ofbKyA/pE5RDHHvuM5NC3mg07Pr160n7aMDpeUUdO6QlrgvqERqfPLkhmvCRF40VU9zUd/FInROlvTGh6InGWP/TEArpbeSlzP5QG70TVTzCt1+o1WqXqtSqTdS7SANan5I5ohHP19g3zQff5dP46IRlqiv3q4bWLq/TOOpZ3MO3DShsJD3wwAO5J+U2Gg176KGHKmnUVUVo0VMZI7zgIrHN+056fLVg5EFgkQG9T0zUV9nR3h8qQCGEQtZmlwU97yejocfC90ef0TOjtqg/UlooiMmUrl+/nuQnU6BpcavvmiM9Y29vL0k/InMVA5ChxHZSsfZCTsyUHiKmA3olTjnHXmB5Rs+xnYdu/F4Lvo/vZCTIRybpyfMQo5fh4lM8ZUCH+jarP769FPIyiGVE632hctTeAMhS4vTjlRGNi9nFGvbtJI37vRmh63mdn/8sY8WPGftTq9Xs+vXrdv369WSvxv7+vu3u7lqv10spUzTGvOETei89tFzvMpD8+haYzuaNklnQfHJsRGtUMvb395OIFq9TexQx9X33ypxPEc2KJKvv3pD1/SpqJHslUOPMvpM2vCeZvJ5t5ZrkeNI40Jiw73QIiW+YXUSr/P1a74yEa00xgs6x8/THvrA/HGMZkeqXnGjsh9ZplqHPqNl4PE4ZPOzjdDpNqtQdHR1Zq9Wyvb09Ozo6SuhN7VJWAh1jbJdKVOt/8SryHo/JZJI6TkGyyNPpeDy2w8PDpNCOmV1ai1TqSSNcy3nGWqhteq7GlI43Oio57xpXYTwep6Lf3MvEvb6C5P90elGiW45Mzad/D/l4yLEVMqKoA2heKS9Er6QdOhY5ziFDQnQQSg+kUc258rqP2s4583oao6Z0MFC+SYeSjqR7ptOLs9F0PdMLVcVxm1DYSHrSk55k//t//+/M7//4j//YnvCEJ1TSqKsKLnQuxpDi55VbCsKi4W2zNGPS/XwPhZEWkhRzpqDRy+a9g1lGEj+nQpcl4NWO6XSaWlh+3OhdM0tvXKQhRm8YGbvfHKt2KlRNpuq9oN7Qo4EjBijBqP54zy4ZK9vMVAdd4xUWtXcwGCQpX3lC06eBFIFXhnkulJQfblLnZn8yS6ag+fYIUhAk6NgGKlpFoghCSGEPKZdmF8KInjkvRNQHH92iF41GKx0IMmrN0hFBrgNvnM0ykvQjBcrPsfe2E+wLow+KpvrqdXQa6B2sLjar3Z5nmF14Lvk+f4/3OvNZeeDY8LlSurxDwbeNfErCnw4LKh5qp99jwEp4+txvbue68P0vMv/6W3NFx0uooqTGgOPIyIQ+J6/jvaFKWhwrjS+NBUUguYY9f/OGGA0gs4u9KVwvXFs0knykxe/BkgJHHk+lL89B4fcs0XFldiFTvOKqdrJkuvrEPa50HJL/SqZ4pyTpjW1st9spB6jSPr2Tk0ap0g/1Xn0mg18GrcaJ6yXUjix4I4nZK16noOGoe9j+fr9v7XY7mUvNvc5vy9KltD5ooNNhpHeG0ryz0n29Y8Jnr+gZPH/Ov4/9C6XasS90AnhHhdad2hTaa8m0Sy9zPf3K4BHvo6FGvsKiX7pGPG93dzd5tpzv24TCRtLXfd3X2Q/8wA8Ea+J3u137oR/6Ifsbf+NvVNq4qwYKpzyBzwXCe+ZReEm4ZpcXtJg3PSGy/n3am+C9olmChQyOz/fGAaHPs1LuvFJpll7oVFwlnChUxCDZD81HKExPY4V9VZt8uU0JPnn9yBw4DlQEOB8yPNQOlhTnZ2YXB2J6Ay5LQBSlG7WZNMeUF42ZGKG88mYXCsB0Or20p4vtEcjovTDzygzpZVZfvKBUH9Q/Km9mluRVq2+6hmtVtMOyxnqXPzhW7yOte+HAcdLY0NAMge/0AlaKXtbYhJRM0gXP+lBESZ/T208vodrNthF+/dKbqmis7y/HIMubnAf2Se+jQqg+hqLzUiBlZNFoZnSTa5dKiad30SwPsvRzTA9vXj/93OkzOi3UdvETb1yoDfzt02+ooAs0Mn3kKUsO6HOOf2huPM/m9z792O9hIz9hv7gvizRAI8DzRjpCCN82Kqo0mjROGgeOF1PK9Q5lHeiZKqTCOdX9nvfSySEewj2/KnWuPlKJ9ZGaer1u+/v7KWVbEQkZSePxOJUmT5oskm5H+uCZc4zwqa36juPreafmUfKPqcI+yyJEx1rXWruiG98WL/89rel70aX4Gg090aAMBGbKUJcS8jK2pJtx/jnG3sHL9HfyGc9zOK5cfz67Q3xRY8eoFsfbrw22d9uMpMKt/f7v/357z3veY1/0RV9k//Sf/lP74i/+YjMz+3//7//Zm9/8ZhuPx/Z93/d9S2voVQAXI//2CH3mhUlReIXfLK2UN5tNOzk5ueQd8oqLvKNkdlQeQgiFpHd2dlJeSa9QyqMlb4qEB73bFETT6TTljdZiFoOQkcS2K1ee/aByo/4r7YjjSAFI5kilYjQaJQIw5IFlBIvjp/ZpLvRObpyV158bLRVZyzOS9HmWh8qj2+2mjCR6qr0xOZ2eV0yi0NMzKAg0dwTHUMYCFU69WwKsiKLMuWJVrFCqjjbf93q9VKqL9vroPvVLZ3e12+1Un5heyJPcqTgqHYRKq+6TwXtwcGCDwcAODg6S+/RM7nOhEs+267vQOJG+pIhobB9++GE7ODhI2tdsNm1/fz9pHxVQPkdRDG8csO0aI21cv/3221Pedd/W6XSaKHwa036/n1yfR8OkSa4jzR+N29FolCoFz/ZqL5bWMNtIw47KGA0SP+Z6l9YO04z0ThaTyeqbN5JEx+TFVHR4PpJ3TGkcvbEoGuIaCBlfmn9vXFAh19+iT6VDSUnkfIQcYj4lS9fpPh9h5zjR0SJlWKlWe3t79tBDD1m73U6d3RLK0vDGr5RdtlXrgPybRoFvtxRqybpOp2Of/vSn7fr163bbbbcl/FSReo1Ft9tNeMTJycmlg2mZRkZ5wHlTH3lIsh+3brdrjzzyiN12222JA4k8RlEV0fYskO6Y+cHiNpR5PsXfV5Nk+tpgMEhS1cbjcUofoCzRjwqBmFlS8IZGrpeZIR7FPtMYkoNUtEE9R7yEdMC+C6H9SIL6LH7CtpH21A+tWx6MnhdJYn/1DNEEZTUdiBpf6T2e9sXDJee8M2XTUdhIuvPOO+13f/d37Tu+4zvsda97XUr5fulLX2pvfvOb7c4771xaQ68CQgaL9+r5v/11oUhEkXf6tAZ62Ji24wWqFpoEpohdwscsLFh8P/hc/tY7tZBV+UqRDCrHVHbUFy3YkBCVF8wbf/V6/dLhimImUmQoOGiAULHxc0FB6fN51Rd6yeSl6Xa7KcWDEQ/uuaICpz0jEoh5HveQ8pYHVR9SGoYMVSoSLD4hAaC5oXGYl8Ii5ivDg233nk71Py9q4Z9Nz63up7CX51GngpPe+T49S/MhQSFvq4S95pYpNLpfRqfoSX+zypOUIDoxzC4UBgpFX2FKbfOGWd7YcDzb7XbKMJODQfs3zC5HHLzTJ/Retk/v7Pf7dnR0lBKmBKMA3KNAD+ms/nmDWn2mB1cebaXH6D5FBfUuzbenD7N0tIDKABUX9Vt8QH/7uaISldUvtcl7vLVGWDmMY6b7+b9Pt/MKkeaU3mJBPJcFbHgf+SYjSUz1oqGkeRcP9sV99EzNDVNe2SaNOQ2kWu38DJhOp2OTySRRYrUnjmnONAQ5x/T40ygNGUnkgzLQQk4sGqdKIet0OnbXXXddksN+PMVzuAb39vZSqbAcJ+oRmgdWN+PcNpvNZGyU0kYaJH2q7XxXFjiuegb5LulK456F4XBot912W8pxxPVO5wVp0sySVD1PtxobGt7+3qx+qT+qbqs1ynVK2Vav15PjF8wuaIHyPoSdnZ3EQUodjcaN+kW+xQI9HP+8SBLfyXnWmqFclhNLuoD6RXrMkhGbjlJxr6c+9an2X//rf7UbN27Yn/3Zn9l0OrUv/MIvtMc85jHLat+VAoWV4D20/IzXUiAW8dyE7tcCohHgU4sIhm61wETs4/E4Kes4y0hi37ygYISCnlQJMykNUsYZ1iVjYjsZ1tXCFSg41R55oxS69x4tekxpwIjBkhEqgsQ+ikmor4peSFHQNfpNwad++Fx//c00vqyIXhkjiUKBUTz/PCrwo9EolfssMAIjaBz1LjJ1P0/+fWUcAxQgcgRQAMiIlgBh2VjRNsdMKWcSAhJU4/E48Y57o0H00u12kz1qfm37vUwaL7WBY0oDiREy3++siBvXlvqq/tRqtSTFbjgcJlUf+/2+9Xq95BBZ8QAZD0pzYRu9R5/r0kdxQ7xDfaSiWJSG+S6tOSpeNDJEB54OO52O7e/v2+Hhod1///2pCKQHDW4aSVwHjCz6yBaVlVkOAK/4yUgxu+CBXnn2Y+P3HAg08vQenwngjSs+MyRDlJqqs+H80Q50zPFerVU5HTj/XCsaE+6X0XhT4eU+JDo2fBqbN64EKYY0kCgL1Reue7VZPIZrUnPItVCv1+3w8DBVaIhpdQcHB4mRf+3atYQ/aM0yfVB94Rx7g/f09NSm0/OUv1arlXKCmZkdHBzYwcFB0i9v3HD+Kb+z4Nsj0AGi8SAdZj1LOowMEukGpAuNM2lM60RKva5Vu0KRJLUla0+Sl5nUm+SM0Rjqb7+2mNqYJ+NIFyE9UoaX2uJ1Rm/ck8659s0u9A7qkNJfDg8PL+1bpY7IZ6iSqT67stXtiMc85jH2pV/6pfZlX/Zl0UAqAW8EURkPfU+QMZeBZ05k7PJc6vmheyggKUToKcszkjxzpaCg8NO1UtKo4Jql0zZCng7/bDIkvo9Cie06OTlJGY96LhUGppXQuygw51jvN0szXnl6dX1Wfj/D8CwpTsXKe/TUVj8+s5QvjywvepbyTQOE7ZYBkmW8eYFEJTxkLLIPRQ0+CkkZtqJdpQbwrA61Sx5gs/QhyFJISFs6U0uCWHOos3TMLs4eY9tDHj597r23apfZRclZL5T5zBBINxp7HqqpvW90Loj2pAiHShtrrj3teYOZxq6el2UkcZ2QjxQxkjRGAt8phcR7YYXT01ObTCbJodDaV8conR9v8nMp4pw/7lfj+vb7BGb1kbybSk+tVkuMVRrQHn49cV2Rh1I+aE41x+ovjQLPk8m3RU/ideTBNDoERTPlfGDhBn0uA4HGOfugNac2yYDw0Slf2l5zE0o11/zx4FjOg98XpjYrlY+GNttF0GOv9tG5oH5QHnhepP5xHqm4ikaUvaCDZWmYiccdHR0lUTcahd4YyzNoeJ2fRz1PEVYaenmOYKaaqc3cF+jTVtk2zRGdU3Sg+H6QV+b1zWdM0Kj3TgG1V7RG/YdrJ4SQTuXXosaTdEEjJsRzOLaE1znJs33BJtGsns81SvrL23O1iZjLSIqYD34BkgC9sBbIUMmoiiq8oeczr1RRDTJDXc+/6eERY2EpyywmSUOL7dHfVDzUT579ImEgQeUNNt2jdqlvEsw0WiSUtN9Af+sQT3miKAQZlaKhIGbE/tEw88qr7mMamqJOnE+OleabAtIro1TG/HM4B/6zWfSi9/t0BIHpAVJkqNjSqPRRIT//EpDqg/rlhYBvQ5F+aE4Y1dI7VYCBnmIJASofijSpXxJAVCyZWiFBrD1W9KZTyNFA0neibQorOhhkkNLQ5riGjOTQuFAxUGSMyjWVJZ9KSeWZCoR/N5VCKTUc01mpmBwfz0fy4IUylQoq/Bo3PbPT6SR7so6OjlKpYeS9VObofdW7yKfMLEmh1LiapQ/k5HjnzWGIjzKlS+9mJMlHRDx/EbwHXoYi7/UOJr2PxiyNN42b2kse5lP3zCyJJh8cHCTr0kfxRDekCT5HtEb6VtRYhr9SyahEql8hI8k7QOgA8/PnPeY0xKjMenrW9+QbjKzQSPepfSE68ZENtlVlsBVZUfu9AcuIOVO8PB/Ocnb4NolGRDd0pOk7wReD4GZ/8R0p5czGIP1mtYMp1/46T1PkJVm8R32Xg8IsPZ66j0UbWE1Q7w2tWQ8aJSGnpd6nvVF0rsr553lR6H597zNxNPbM/NCYijZpJOmZ/rNtQjSSVggv4Lgg/d/+Hirc86bbmaX3GtVqtYQhc7MghZ2eocVDQSBhoYUTgmc63qiioUjFk8qqmSVhXv9MGk0CmTwFk74Ts5CyqbaTIXhlj0qSnsHUOymA2sPBErEcG6UvSWnQ+DGHmO+noaRnkUHRwOQ4eOXBf5YFCiB5HJWK5tNxNK4a5+l0mpwyr++9Iky6khKqPrIyHvtS1ABgH9ROKaPyPpLu9LciPlJQ9LmEjDYC0whW2o48Y9ybJEVbysW1a9dSRh4Neu/w8Iap5kOKtp5PpY0ODI1raJy4BrT3Yzwe297enjWbzaByTaeB2sQIWZaBr/81f/SY6v1ZES8ag1IQi84/hbhZurQ7jWS1g5HLs7OzZDym06l1Op1kXTOFxSu3nDt+rneKHjj3fs60Vvz69/Pn14dXxuT0CbVPz6Xzi23nO7rdrh0fH1+KfgpScn1KnK7VOPloFMebNGaWjtjoPCFPW3yWV3K1dsgjqUwrPbzdbic0HKrAyXmhEag1TsPbR/Q4Vjz3hvNBfqnf5E/iRZIl5Ady5mQZdCFa0Tiqj3r+/v5+iiY5d5JL4mmKhpGn6nqNeR647mQkKWtENMmIV57hRXkpp43aRgNM80OZqJ+QEU5nXKjdWYaXsLOzY+122x588MFLvJi8OstxwzaExo+yPuSQ0POUFUC9IST3vJ5HPiLa0vV0MpP/eycweSNpSHTa7/ft7Owsdxw3Ddtn1m0xvKApYiTx2rIeVb6TSo4WnPLv5WmjwO12u0lI3ixtXEjZoCc+i4FwkYUYgzx7zE2WsJMwkUBQHnVWOVAuUt3rN4aaWUpYiKHwbAP2h+3X2Im5MpKka6WkiPmQ4Yi5nJycpIwqejYl3PlMeoTI2KR8UjiH5sEL71n0IkG9s7NjvV4vGQMxOiqhul77V/r9vh0fHyfe4KxKa3qOaErnPmmsqTCGhNesvki5odIh76EEjaKHmi8aIPSIiT5VslpGk7yCIcHO8aEXlkKF/7OPfEa9XrdOp2Ptdjsx0DQnGjcpl9pEn6WwqI00dPr9vu3v7ycRXDNLKmaxbc1mM0kbOz4+tsFgYI95zGOS/WgU0oJ3TFBZEy1lzaP6JCNt3kgS6Y8eTSoL0+nUjo+Pk3HTJn8qR/qOkSLdS8VL9KUCHjJsuW7Fr7wyLp6i8c+aP75XPI4KrWg4dD95B+Gjoo888ogNh0N74hOfmBgXXDdaE6ECOKQd762mZ5uf6V4fGfcKvN7noyN6Fx05/Dk4OEgM79PTUzMzu3Hjhp2entrR0VHyLCrXKuhCZVS/qZhTlqkN3F/CtU3ZpDnTHA4Gg+SdjGTT4Oa71E4PrjcVjKFzT/QoHucNBj5HcyVdILQGixhJ3vnCZ4/H41RKpjfcNPf8m04LOnhoaOlayQEa4WbnxWq63W5qj2/IQayf0PE3ukY0cXp6mpQhD8ljZqxoHERrXDd+7KSnKSOBPIiGmObZ60jqPyNJ0jvkJOO4ikczwqn56/f7SbEl6SBca4xs6zM9dzgc2kMPPWS33357mFA2EDGStEJwA75ZWoCEjCQyhlmpGCHwWj7TKytaVFSEvXeDzxDh+zzsEMhYvZFEr6KZJXtE1Fe1TwxkNBolHnXvhSVzocJCkPHWajU7ODhINsEqguAZrO7THGiMvIfKzFIKndqvd0nhoweTQpXCVs/UGGtcBBkWYughTztphOM+C5oPP/cyXEPeLtEThboMkjwjSf1jqpFvh9pf1tDzbZXnUc/kWpSTgGtQhvNkMkl55rXBWcar5kmbxZmKpT6EIprMqfdKGMdViq/ZeZqMhCU9kxpLtjFLyWaai8ZWY+Eje2oTU0S0JilsvRee7+Nc0MExGo0S4zUECn6Ozaz5Vx/JYzQ+ioiq35on7n1hWqTGKqT8C54H6HpGJskryBuolHIes/rp17bawz1ldOqE7pcS42mNfFdKDZ1MjFhIMTWzxLHBeaaCRFrlfNBJQMOENCWj3I+3nusdJ5onOq90ztzBwYEdHh4m641zq3dTydYa4rlFnGNv7OlZOp6BmRlqq8ZYDkm1gU4n7rfxCqrmTw4Rs3RpbD/XIQNN8lOKLGUCI2aiq8PDwxQ/8HTFiG0evJGkv6V/iMeIJvzzeJ+MZbWHY6k2ZelOpC/9TQewp6lQhCQEjZc3sGjMUDfwTjHxVxX4IZixoufyt5fvNJT8XkrqOLpPug9/2Af9pr7maZPpi5pL3af1ZHYud+WU2BZEI2mF2NvbS87dMSsfSRLBF0238wKETNbssrEiQg8p2nymnsHCA1kpPlTIyOi44MUYFZ5V2p2MERk0Yuz9fj85RyU0XhQQ/JtCcDQa2bVr12x/fz8RyBKMZGre4ylly1dd0vdqoxQXQc/mHimW6/UGrRhRs9lMnkemyvnkOIeUrDIGhjekKPwFzrtZukKR2eUDFWcZZ+ojx5LCxRvARfpCQSADj7RP5a3VaiXCSV7N69evJ94yeRAlIGQgaSwYJfFOBa0LjhcNIxmS+pvrW4aE1qkKRPBMEM4R2xgCPfOaLz2HByDqWvIGGesyNkPtJT1yjkTjWhN6Z15RD++dLmPo+4gR14oKtIjmGFlQ4QofwfBr3Ss7VFTpvJhMJtZut1NRGK9o+HHT31mRoBD9az0eHBwkHuEskGY81EYWPtAcqbqj2qWx0n49ttnz3lCqkY/AqD0aS3nkPa3RWKVs0bzrNxV+GUq33357klLNAgwac/Fn/e/P8BHoDCGd6Hm+kAIVRmUPqJ0hpVNGEsfFzzuNJD/f3qvPtcP9Tpx3Xi86qNVqdnR0ZK1W61KfCDofskDaoGItmqCBHuJhfrO/57Vc555vcP3LyeVlipe9lEOSG1nrSvdrnVCek375XvJsGfWsjEuEtj5kjQ/bHdrHzDXCMZAj0DuS9UyOI6OR/vm6zxumkoNHR0fRSIqYDQpwLrwQcQpU6vx3WchSMr0HWIJejFmCgh4oKoFmF6lAXgnxoGfTG0l+UWnRybPNMG2tdp6nLmWWxgUZC5kBGajuEcR46vV64j0WU2OEg1E3GlhSGuj9ohJ47dq1VCqW0vB0Lo+qUTE6pvawnO90Ok3SGgUaJOqzF9jzGklklJxvKbaiEdKu5klClsYtjdkQNK6MSkpgUxB4z/esPug5nHsKQCnILKGsdKd6vZ7yylOAyKDgAZR6vldYJJQlsNg2pplIifbRkun0IsVDz5eCTwWb88u1GhoXv/Y1Dr4SkVc+G42G7e/vJ/3h+gop+7pP60V0Q8HNvnowqmVW3EjS+7wHV9+p1L/ao7NzVE6ZY6j3sg/0zof6rPft7OykSsPTOFc/QimH5Dm+X1wb5G0sKywa9xvfOaZsv28326Nx0HrmPFBJZ/9llPiIgdqla/RsjqfWWrvdtrOzs2ReuDbIg7zcofPIO7cUwVG/FPnVezU2HFumalO5D3nK/dwSdHDpR/PM94rfUOboHT49SzKCDinC05xouN/vp6Lo6iv5t/pLJ5KPfBJ5BgSvIS2E7hO/CDlPQuljHC+1V+NBw8LzqVqtZvv7+ymHAuc5ZCR5x0WoAIGPYFMec7xpKJF+ZvFstlPjxP5pfCWD/RpnxFLgXmdf5dUbO+qXaInfhXgg2y/62t3dvTVKgEfMB6/AkPH6v3W9/qdiOstrw/eZXd6US++ITxPSovHlI9kuCXgxvLx2kRF4xZ5tYsUkKbFa7BQWOr+Fn1Foqr16hvd2UGmmIs10K8+4+A4xSxlJFP4sp0xlQWNzcnKSMK+jo6NU9ELtkYebVXuooHH+aIQJi0aSqLwQNJJ9gQ2fkkD68sqaf67mh/swqAyG+uD7nNUH3eeNXdG5DCLNFb3bjUYjaZMifprvo6OjFL16pZxCUGPgDSrSrPrJIiiKfklRo1Kt9nM+vBKdNS56jvfq85lZnkqm59DxwTnxkSQavHTAhK4nFLGiwqb3zoI3kKj40aPd6XSSMVVxDY6f+BKVJO/s0fyTNypacXZ2ligTVOTURkbg/POyjCS9g7Qm2poV1Sf9h5wOVJjZTv3QsSSDRjxJYyfDn+3k2Ki9VG7J/1kohmnGXP80ukVD+lzvUB807zKQGMX0xo/67p1ujKCZXaTqss9m+UYSn6f++OMg1B7uBaGx4o3pLLnreQAVW6V5yymkZ8oZ42mb/MW3ge+bpZNwPepvnjskpV+OKp9G6OnVOwRFQ6QHvpfvoUOOThCNtY+8iGeGZCrbI4cgnTuhaLjeISNNMjLLAPXvMbNLxgzfoTb7iHdINsg5ZGapokVmdikqzbXsi3cwMq4+6jtFm6XfhKJlm4xYuGFF0CIKecI8/AJUFILPKqLwUiEQtPBHo1HiRb399tsTRU/MqdvtXlJw6aWgwjbLSFI7yJi8l1gLRwqFcrtVnlvFC7zBOJ1O7ebNm0EmLm9uyBtIxU3zIcWURpDZhcJGBi8hq3ukWLN9EqYa83a7nRJ8Cq+LSQ8Gg6QqjQSZhOnJyUkqMuIVsywmGJp/T1+eZkajkZ2dnaXmhxuYvYIjIeJLwoc8giG6ZeUpRV28N5BCcpaBZHZRDfHRRx9NxoSexlqtZmdnZ6nQP/uliJ6EmNrSarWSQgf0PDKyyco/VC6VJur3OajiVrfbTZQXKUukPY0V19RkMkmKDPCzEB2IzjQ+8iyrzzLMlYJGYaYoi8ZQz5Cx6SPNep/GrlY7Lzjxuc99zg4ODpI5zppLCV0aKupbHmiUiYakUGj9iJc8+OCDNhgM7Pbbb7fd3d1UwRU6WshHxf/0GelJc6lnsfCNxkL9Gg6HybxpDFiG3fdT11FhFx088sgjCZ/xCr1/hnd4ETQIzdJpWGr3zs55sZAHHnjAOp1O8pnmUn2kEU9ZR54ZiiTpkE85KWikUXZx7Z2enqYMM9Go5qbT6SSb+2V4MYLvHTw+Csb51W8pxJy/kGKssaazRoak5wM0OhXd1bg+8sgj1ul0kqp/VOhHo1HKO895Vrlvfab3NRqN1JlgynIQH9Z4qY1yGGUZ31l7owQ5ix566KGE5+oe9aPb7SYV9zx9el1E6V5MZfUOGIHrgc4xVVo7PDy8pKNojDW+Xpb5/qr9MkI9P1R/tKdU88BUxdC69bSkdoWyYvS91sl4PE7SfckLObYyGNU/Oo/Ji2hIUmehTiR4WS2dajqd2tnZmX3mM5+xpz71qZf6uqmIkaQVgV5jnU1Epd17A8zSCh8/K+JN5f1UpsWkxXQkVCgAyND5Xgq0Wq2WKP2zijcI9EhRmdZ38sCqTVLMxBBZhYZKuh9LCRyOJ71C9KxRUZMw9PfQQ0lPnxemMmrowdSz+S6G5Wu1i03QvFcRKSnNDO/71Bf97b34/M7TVBZEIxp3KYpisBo/enF5D4W8lMA8qM8+T9zTeGiOs0Amb3a+uZxpE0wrkBJH45HRBwoX0aj2x3H+Q2uS0SBVNDS78NhJWTM7F56NRiN1UKyElmjNV5OkEOZazYokaJ6oWPBZUkzllCGvajabidGovkrQa5y8oeafL/rpdDrJ+OQp9LqP+/uyFDUiax+cDENt5NfzFNHlWlfEQX+Ldsgj9C4qOVJYda/eG1LcpIToc0azfVoM3y0eTiVRdMZrQ6BhEoKeT4eM2cWBuEz70vWeZ+o9agdphPyOdCpvtvYhkZdwbcq4kYKm9UJ+r+tpMLGNKqBD+UgZYGYpXh5y9NBJ5yNJnj7VDu5fVBSTDgfKaY6NXz96nmRCSGEnT55MJokDgGPDgjAcY9KC0h792idY4TALar8MTDkRRB80UH3UKESr6p8cEeIRlK98N+/zVep8FMTLaKbDC76N+p5ZBd4w1X1aB8wcyHIY6bncx6bPQ2PO9ai14Xk9eZi+29/fT9GN1/XEFzzt6zkhnqGxlKE+Ho8TObJNiEbSCqEoAb3LHt7rH0IRRYH3U0Em4zSzJJqhjdk+d9aHUKfTqT3mMY+xVquVeCnoNfTtohHTarXs4OAguLjludc7hsNhoshMJpPEe2+WZmo0njh2uoZCnV5fXePH24fHp9PzyEC73U7aqY3KjUYj9Uy/GZaVvHTv/v5+wkikrEsBPzo6StrjN7l7I0Igc2X7/TwUNZLUXs0Roxq61x8wJ4WPRp6KWxR5X61WS6XW0DgNtb/IM6m4UDjISBDdSKFleo7eIQ+b3ica5Sn1NBRDypFKMqukules6CXn94pGyYtpdlGam/d4ZVI/oTXG70nnTF9qtVqXomIyoHjCOpVQ3UtHABU8KvX+syzHCtcrFadZ8x8S9PS4c5z39/eTvYFUQsk3mGap+fJOBx8l0PO8cmJ2OW1MdKd30IAIzZ3GPcQT6AAIzT8VOK/MEDR6mZ4mhVayggVXzC72I6nkfciJRYWRaLVadscdd1i9Xk8ZEN4hNJ2el2t/9NFHk/mhI4PRL/XT76ekvPLKn+Zwb28viXgwciU+z31GomHKGtKo+ix+I37plXW2R/3R80hLorFQkRG1l+vE6xw0HKfTaSL3VZVP87qzs5M60yZv3WU5ZgS2UbxCxoc3tEXfAtcF3ye+6A9O9U4CPltrv9frJU4njherFmo9cY+tfyahOfYGJ3UOpgT6SG1Id/JGUh5/5/vkOGBb/BYD8g/9z4gdHdbkkYzsezojr9Q4ct+nnIzbhGgkrRCKDJjZJS9iHoOht91sdrlNwRtJZB5UeM0sMQIEpk55ZYwbP+UhpxJBiEFQoQx5ZfSj9ozH42RzvMLG3iMkLwk9zeqvFAWmwKnfVOzMLvLUPSMnc+j1enZ8fGxmllIcWcqZSqTawfFjQQAJBlXVo2LiN2LLEFX7qfR7hTSLnkgDeaACq/liOF5zxLGhQsvzFvJKPLNd3qul9nsjqYih5A0FzQ0jWzJg9/b2Ul5aCQD111fXmkwmSaUnH90ICTkqrNPpNLWXyexCsdB60Lxr7CSkGEkiTWm+KHjzxkc0Q2WpVqslgpGRJG9QaVzM0h5Jtjt033SaLtfLtrC0emgemX7p5z8Lob5TmRWNas1R0RTdi294ryujpVxPVLC5ZuREkUJHPmhmqYiI+GkoyuL7RUXH83F5j7OMZPUnpOSRptRWRZH9WPA3lSM5H7RezC4ftEo6Yp9ktOo7Rny11vT79PTUPvOZz6SMCa1fzoXkg09Z9bKE9Mp15OWl+kyZEook+bnjXMnIVJsZ4RHNiG70uXgBZTF5sI+EhGQQ+8HUKY2BvudeWp3548eAoLzIAuWV+j4ej1MHiNM4JP2GKuuJFlWZVP/rPVlGkv7mYeBqF41RrVlF2bxTwRv65BtcR/qtufJ6iBAq4kK6okEjHk7Hi5fv4p00Qr3jxfeBNKrn6n7SHyN/of17nCuNofiuqmJuE6KRtGLQCx86nIwEFlJ4qYTMgjeSzNKK2XQ6TdIcxAx0va9Q5JUBRUQmk/O9Nl5gsA30JHoGRoFMAavnHB4empmljCQKFvYvNE40LulN9sq5lCQqkDRWxHDOzs6SVCR63cnIxBjIDOh9VD/93hv1W0yI6QOhajp5c55lJM2iGxon9ECxLK03kmhg6vNZQlPQ2LKCH5UWLwiKPNPscjqCcr93dnaS1AJdpz6ORqNkPdB7TgEkw11KsNoUysnXWGqzqgSMFDmlIeheGhv0ius+jT0FoMbQGychJZlGEtcdPbKe5nSN2uOjxjIIOOf6nEoPlWP9ZspTCGqr6MIrfFmgseZ5j6K2/kBNKYQcN9I1lRrvUaZn3uyi8IFoye/f1LN9VEA0wHdzLPzaDvHnPAWESn/ISGK/yR/9ngfyEo6R7qFR6Q0IGmk02oTd3d3kmAyv/Os5chYcHx/bAw88kDj4/FrV9TL01G9PFwKjhxxTz4PoQOO7vDOQ4855qdXOj7Q4ODhIOQPUf64f3S95rM8pM73jkQq0j+BSBsoRqXGS4SR6l6Eg+s5CViSE/ffGHQ9vV5tFS16Zp/OUz/TRI8/PQlCUTGudDh/xMrWn0+kkhvcsvuP5NA0k8Q72g3SYZYwzA0XjoGu8E8U7bciHNUY0SPlcgXNYq10UUyJdkybZbvIAgnszlWpXVJfZFEQjacWYTCapMyb8gg4ZSZPJRTqTWbGSm7zfeyAonOSJYfiags4rwoy6XL9+3Wq1WsJM1DbfX3oi6FES6EmVMJCAVWiWYxVKJwkZB9p4yoUtxshIAPtE4cK+SDkmEw4ZSWKuUjLpQaI3Vkye75Pxxap8FFCeMXF8NS5+DISiRhK96WJ6PM9pZ2fHer3epbODdA2LDdDLmwUJeToPKKR9+2f14f/H3p+HyZZVdf7wNyJyiIyIHO58awKqiipGgQIRSm1ARBQEQVHbdm5p4fUFFehubd62ndpG2rZbpUXRlh9CC63SSisixSwiQ4lAMRdFUXPdKe/Nm0OMmTG8f0R+T3zOin3yXtCu4v6eu+6Tz82MOGefvddee631XWvtfcgjZ2Q8Fu8XsZHc3NzU1tZWjqfOpmxtbWXAPEbJKa979cnOr9v3/h5nE50h9XpmiZGdG8t6LBWjLPmHjneKLzFbar3CTJbH5vZdfkOnnX20Y+B5ZOmK98nQePpgg5QeSPHT13Dfw/k4K/6fezE8zggWfa1l3Ouch054fCmnhnI6HI5LdHikuHlsfvt+HgBBAJmqGOCYouN+9uzZ7L1CKUcl8mev70ncQ0Pbs7Ozo83NzaxflgfzyTrA33sdMChFZ5Tg3sEjvgbB15nm5ua0srKS8X5jY0PNZjMZDGR2lnbNQNlyRR3LMjfKBwFE0cZ5X+MyW78AOgYhfUqrnWfLo+/v9Xo50E6ZdV9TziuvpTPtEkivCc+vqxt8n3WM+25e7QU8zI9UYMbfu4/UL3ac/WyXWabkMz4/Agzqwkjkodeh1zbtA8Gsy8Ud5Io6J47V2Tb7AOwnM9D0sfw/dSufQ70s5Q8GiVnYqC8ZiONexeh37cXjuPbNF68nypzn1n6M5Wd1dTV3gjL9zAuFLoKk+5ishHi8sD+X0hE+HhVqw/GVgCQqMwOehYUFzc/P5xRICnB4kXNR+6QvSdkGzyKQ5H4TiPh7Op00oD5lx+9psGGW0i9FZL/pyNEx8cK348vUsfvGiBYN0L59+7I6dTu7LFWyEjAI4w8dXgJP88YKW8pHeOgoRJ5FXtA4Rvk4X5DE+Xe/eTSo/47GxWU+EVSfj0NGA0VnzP1h/3n9udpkSas3xfu7s2fPamNjQxsbG5kj7zVRLpe1sbGhVquVA3qMgjErGA1G7Ie/t3PiiNpgMMhKriynlFU6AG4rVRqa4knKYfH3XhsGbpS76FjOzMyoVqtl654Oj/vKdcQgjDf7e01zX4vbKwLRXK8E3+cz9+yDyybNk1JpvF/Oc8EINsv7vJYpfwTxJjt1DITs7Oxk4NJ1/h4L7+XpZpRvZtri3MX5brVaarfbmVMXHZ8UT4vWZNT7zHRTT5p/1GF2kAieo/POOWBpD+XSttHBqDhu6++5uTkdPHhQ8/PzKpfL2UltnDc/h3uSuGbdV/aXTm0Ew5aDuN4pI9Rffoblyt/5PWv2Bch/ZpBZ9cAACO0Gs0sGYn42gy7ct0u58zwT4LKter1+XiApNddx3t1v+xsMSjAA45JDUyzh8jMJfvbSjZxDz5/XjnWgAarnw/ulCGLj8+P4UqCbskHfgiDJc812qfc5T+Zz5DXXkNeBT+/z3FmPxtI/UzyAg3PKcn/Lj3Wlr3E20gC00+loa2sr2y6Q8mUuBLoIku5jsjA7mkyhk9LOYFSm0rn3lvBZdA6jAmFEi84FN6b6Xi8K92lnZ0crKyuZEvGpVdGAWNFQcbgNO1gEBjy1p1wuq9FoZM/b2trKGUFG9BnpY5SJRpkAsV6vZ0eqcuzmNw2/y3OWl5d12WWX6bLLLssMsh1LKlMqNm7mjCdYxQMPfD9rm6OSplHw9zGq9JWCJCpgRx/tqPr32FdTuVzW0tKSFhcXM3k4l5yyPCEe3kA5shE/H3AU5ZxOnLNgLKXj6U6+lmURlmFHt+10FEUuyQ+vGb6Tx+3Y+fDnLNuyfHhMqflz/+lkE6hEvjAI4OcRvFvHuCTRY7SjJE32MsQ1zL00djxYRpjqK9+TEolrkg7aXiCJY6Sjb16ZN3aovRbtsLnvzOQwyutnpICI58zr1vX3PMY56na3HbOSqcMb3IbnzkEVR7odpNmLzrUWo+7g/lA6SeZBBKNSviog8sf9TmVADI58L7MbUj5wRB2+f//+7NjoTqeTy4L6PsqF+xoj+rQVdGbpiEf+cUzU7wZB/vHBAouLi1pZWdHS0lJ2P/tJvcPsvflNWTXPeE+/31er1cr2Efk+Z+kJqLrdrpaWlrI1wL1cljuXPjogVqTrUsHP+L3/t86MZXLUvalyu/gC0lRgMJYdpyjqbPoMnkPzyK8BSYGk1FqzXWBVhNsnKKHMscKEvIo62r/7uwiSWM7qNeZKCL6GhEGrSDEbyL779xh08jj8u3Woj5D3XHstzM3NZWv7QqGLIOk+JgsTa9YZSUgpIjrL0vkd3EAlER1PtufyIl9DJ50Lzz9WqHacK5VKBmL8TiOWLsToXQQq7gcXrRWiQdLMzEyWseK5/1HB0olm9NAgzP3y51ZmEbyZZ1SQjriXy+WsntxtmSccM49O9jOssHyfDRIVIRUqx+c+WYkTyEZQmjISqSh4ihiJ81xxX0kcK+fPc7W8vJyM6KWIJU9xIy0jW+TDXkbQPIhG25FpGnzPDTNJfpb/5xjr9Xp2PdeMn5kam/nufV3mESOGLO+xnNiRi2uEjjsdLDr2EViYZ5aTWAIXnXg6MXH92ci63+QPwZ33iXCsdPYiaIjEdWBjy+/2olS9vvnm44edRXcUm6VqznpFwB31sPsSx8XMI9dQHDOzzqR4eANlZTgc5hxoH0DSaDSmjglO8TSWz0Riht5Zmsh361QGT0xRlxF4em0zKESKepJrkvqL/OX785x5oxNpkCTlgYfH6DYJksz7aGN8D21DDMZ57czNzWU/7me1Ws2dbsp7PWYGYmwf3KblmCDJ/zvb2+12dfbs2Zx8ODPDNeU5dBvMmlqe/b4vy+heICgGE0hRX5N35DHHGNdv3JMUbZSvswxFZ5/P9jNTp+ExG0Wf7Fxl4/Q1qB/JH8qO+2T5jAc3WH4ZcPC8xe0G9J/ME48hdeofbTj5Sb7TBvj6uOYdWKNf4r64n547A6VqtXrxCPCLVExx4TMKFB00Xx+jmL72XECpCCR5j44VoVPfLAmTJil4Kjg7fVaYzoIsLCxkDqczPewDnf4YtaHiMNFJcN8d2ZakjY2NKYeDGS4vVi9kHp8Z0/jSJGrNWnpngOi028GiMSEv6SQ5qsTT7Fj+RaMeyTyhIosle54zRs+iM5eSgXNFk2mYuQfMfbXTzAi9P2e5GDN35yLzmPPkvsT+x3FF8pxQ4TtySqeC2RHKBftOh8xybrliyUIEJeQ115adfUbRUxFHzyNLudzvWB4kKeeAck5SvDE/PE7/zSACD9GwjNFh9v3RifS4Wq1WNtYYtWWU9VzlOXamHHDwGIrmP7UGotzYWfFJap5PHpZRLpezvUx07N1eBMfkAQMKcd9N7Gu8zkTdG0u/vN/RToz56ag/gX0RX4uIutl6nk4fA1EOYkTQRTCTKg+jvogggcEN28ZUf807BxndHucxlgk5gCdNgnC0OewnnUzqevM8BolikCE11/F5/M7r3EDKFQp8iTXtLrNEbJ+6g31zaW8E9L7XQMjr00DFssxAT4rOBZLor5i/BMEEfbQ7pNTBDZQbUwRYXs8mvoeOB9VQZthfr8/zBUnUsdTbMaAb7TTHI00f2mDe+V5m4bn+OH7upSJ4iu36eREkMcAQ/Stfy8Cz7yuXy7nXXjDQlzqp8KudLoKk+5BiVHw0GmXvKTKlQJKFMTrFe1HKSYgRzUplfBQpFSGjMf7bbTmzQ5BkWl5ezpSJ9w55vCzVidkFKjFGTxjh8phrtZq2t7dzB0U40hxLjhih4WZQluqZCDzYrxidiXuUGCHyOPy8nZ2dLGpifvLlbi6XiQrSYyWf3cdo/HxNNI4pY1VkwKPM+F5nPigDUWG6H5anwWCQZWrOd3Om5yJGuMxbymHKwOzVrq/zKXKOZhEsOaLICKLngCC2Uqlk++PIU5Zcko8mj8HOhzexWh5IzPBYHgeDQRYN9n3+LvLB9znax++89qMTQSffayo6n/5x9szzGwM4sUyNRwnzmtSem0hcC9z7FPmbuo/gi84PsxTeL2QZ8DG1XlMOJlHeLDepwBWda4Mr3su1GcFUJDoonm8fQuP5je8o8tyc6+SovUCSn+W+OwvizBr5G/fJcm7MN84D17XHR70VZbpUKk2BY/K83+9nYN7r1/3k+2EGg8l7Wjj3MWDH0y+p61PrjPOY+ruI5+5PbIv8YpkrX0FAWeQeQuuUzc1NDYfDLFrPqL9l1/NrXhkgsWTc82SwEkFViqwr9wJJcc1Yvjg2lkaSUqVhESRFG81n82+WixHYRSAfD+aIAZ1UgMdBDPo51OXmI3nM8fg+vpvJn9Nvi2PyNfzbdo4BuQjc4nhiG/Y5LWf0qej7+HquOe9toz66EE+2ky6CpPuUInCxULFGMyojCy83QUdH4HyeJeUdpbhA+Y4fLwSW1vCZjDR5DOVyWcvLy5KUbSaOTjUjELF/vscL1YvJJUrmhR0Y92l7ezs72YnGSBort42NjcyAWVEwQ+VxxXR3VEJWEqnaeGmyz6TVamVZCzsZLC2w4XOkJVUaYMPkMgkflOB+cP8Ey/fi3EcHOn6fIsuHHXY7ulaUpdL4Lex8WexoNDmpz8byfDJIJgNdOhApY5lyUlPEcgk6AYuLizngORgMtLW1lfGaQQSPjzLlvQbun53dvTI3Bszem0CDxfptOzrkqXnJkiI6L+6X15/vi46YeeZ+RgPu9cBMkslAwu17DHwRsmWWIMkBGDoInkNmWIqIfOh2u9kG5L0AMkFFEZAx2PAJh55nO+R0UH1v7GfcSxWzLAyExNO6vK4iMCDFkpWdnZ3sGF1nWKgTeQofx1vEo72+I6/K5XJmm5hRpVPu+2wnut1upsejHaEtiaAp6kHzhyCBPDTv4rvDfJqX9cnW1lb24tkYILEzyqyB+8RAGOfP+sOgms9O6Vi26ZPuYvDJTrn3SlJPWAetr69n+oKBv06no+PHj+v06dMqlUrZQUxcY/Yd+v1+ViHh/ZAE3V7rHqPXt9fvXnruXOuSetTywnfqERBE34ZyQBkw8IvPj/3gvQ5Obm9va3Nzc+pddpS7KLOxTyTuo6b8cP45dyke2S74NSOWCZ6SSFsZ+R/Hy72gMbsa/cxUANu2M2ZPaT/j+MwvVxJ4riMIv5DoIki6D8nCFdPkLsuKQsRFG//ey9ix7QiS/LkdQ27OZ9SXUVYpX6LDaCudgFqtpnq9rtFopDNnzmQbB+nYReViQ+rnRkdtZ2cnd1SqDR0VIrNg/swOEfnFSHt0Kv1jpcJsltsolcab2D3OmOmIEZtKpZKdYkSDGufXY7Oj5cxYtVrN+MMsIu9nJi4lL6bzAUnRMbFBpQMQMwgeL7MvPAjhXBklOkFxHCx/jPO71xj44zm3UWYE1b/7qFuCGvOChsBZ35jlKwJzBsQ2EDwogJlBBhv4PMuvI8Oe6xi1jVFByyHJRowAIjrV/twbbJmtSEUgGX11/x0s8Et3o5PrNREzDZEcAPCcEFDsBZL3+t7zbmfRa9RBCOtEOxRx/osoBq+sEyOITFHqO+sfj9kBEs8J54/gyPNxLv7slfFwe3Nzc5meM+BLtRuBTYwu0+YxCm5+RXDpa6NsRP3l+Yl7fex4c5wR/PBZbDcFNH1tkVwxUxD57P8dFPM1LEf399JE33qtOzNPG2tHu91uZyWE7mMq42NdZXDATIbl3baW65jzxZf6pohrNEWprIN/J//8/L0yzCRmxhkEjRTtRvSfKPfWBeYTnf69KPoUUc6j70e5H40mJ1z6eQyGxOBgam2wHLHf72elxLF0dzgcTgEVtxeBKHV0qiyRvhfXMgMM9FkY3LmQ6MLr8QVMKeDiv2dnZ7Oacl4fnSEL2bmcz9SzrMjouEnpvR/REfR1o9Eod4Rxq9XKKaEDBw5ofn5e29vbajabWVSRi81tOlrCDaS+jicrOULmk/jMJ7djEBUVX4xaUlFQQflzGi9H26j03Lfl5WUtLS3lSjTscBOI2cn02Owg2pDbGWEpFx1lZy24vyNmwKh0I3hIOV+pz3l9zOZEx8G8izylQbUTTwegiDg/sew0Gl06CudqMxoqZm0oj7VaLTMkzka6JI5Gj46K16GjjXE9s6TA0WpG72zMzR9GeOng+ZpqtZr1R1IuO2a+xWBIdARo2FhG4+tZvuosaNy4T/mT0nttnEFyf7nuzRu3uxdIslwx0EFAkZJhrmcSHRJGre0k8r1fLlOK+20oC3G+DWKYUfJzHDAoWnMpx85tMDvDdeK5IljinrK9QN25AgzmzdzcXHZyHMdOZ8jPZrAgth3n39fSttDBpeyzvchz6mOfGOdSM8swS/EsT84isE+0s9Gx4xii/FMWiwIPlC3ygLrJ99gWUPew8sOfd7tdnThxIrfH1cETy60/93ozbx2As15vNBrZswiMfNiEx+RAUooYVEgRbQqBPW1mnFtSyrn2WCgze2X1fY+vTclpr9dTq9XKAEo8QIVUFGiIgJqBHYIh7vFxf2ZnZ1Wv1zU/P69araalpSXV6/UsUMFnxFJwfu95jyCGOp5EfRKDHu4bSyMZaKD8zc3NZX5UDEJYdi+W212kPckLLWaS9iIb3qK2zvUs3stSFEcruYCpnK2U/R0zLXb2JWXHfvuZc3NzajQamp+fz94Bs7Gxke0JKZcn+3boqPL0LPPITgJT6lSE0VCTJzYg8Q3XLB9wnzk2ggCeCuOylwgg3Je4sZRpahsfO6gek59Fx8HOg51jPz/OK/vCe1JRTdO5QBKNt40Oj8r2vQZ1JANGK8kUeEgRQRYPDGBbJvKxaByeFx6r789dyuL2Z2Zm1Gg0tG/fvqzdXq+XlcRw7pxxMFjinEUgGI2QwRedXN/PTdh0RGloDDq854Jjo0NIkBv7FKPX7Cevjxtr41gGg/xx0JS1CGKj4+4xGCTtBaBHo1EGMFJZpL1kOM49ZSZG552ZYbkd12dqbFGueeiDr+31elpbW5s6iSxSai+H2+cGfv8dx05dValUci8tTdFemTHKBjOmnkc6tDEQwXVsR5ByHsE2Tz10e7Qvo9EoA4fkCa+NssysNvvJY4cNXKmjON8eI+XMPwxSRmI5ojTZn+LSTGfmfD8zyR4LA2oMisT5t15utVo5HTUcTsoA/WOQRDvFAyG4X9h8pF1yqS8PLCrKXBcBcPOXOoqyHDMo8VCCCE7dptu13BVls+K6iae2Ub/0+/3s+H7qjDiuIh6wLd7D+UiNidUs7Fscw3A4vR80BsniOvVas9ykdLqvjWvS8hVPjvR4OFe+17YrrvkI5i4UuvB6fAFTUbSpyJmkEYqff7mZJC9iKnO/0DY+w4uDG6+5gEejUabwXTfLZ9br9SwqZkNng+kaWyv2eCyqNEldMwJIxzE6V1Z0qTaKovPMvNhxohEgEBiNRlMlB1ZWEVzS0JL/dIKjEvE4adztSNBYui9UyCmFW+RIngucE8S5n6moFw0zaTAYZFkOt3eurA/nmlEmznvs//lmkkiWPxtUy7ikLGJnY+N9DXTAPBcux3B2L1VjHY2f5ceRT560x8M83Hc6mARBfD+Fv7OcRN7E6KfnIlW+6AygNG1w98okxawj1wCBO793xPF8Iooer9dwkTHnGC23EUhwrNRZPBHOsuEsENtlND/OuXUHD9hoNptqNpsZECsKdBVFv70mrHdieedgMNlH6SoE72E8F/jcC2DyMAYHmehk0n54DZFfrECgXPEkSV9nfey2qDs531I+y8zMha93f3nEP+1tuVzO2awYKIgBIsot26F+tkz7fup97wMajUbZS9cpO3TuPSeWnZhRj8fRO7NiUNzv93NVCMyC8nm+z6De+t33MYPG+Z2fnz9nRQB1fkqu2C4DDRGMxvXAsRa167GmTtT0M02eD9/PzI/Bm8ub3U8GKkwpkDQa5U8Ppn32+LlHmfyKQcE43ig3Kbto4p63COyt99hv+hJRb1ar1SwTGYO1DFxxPi2D9hsYeL64J+ki7UlRMe8Fkqik+Rkd1vN5VipaQYeFxoaOelxgdD6oPG1YaXicqne2yIqn2+1qbW0tU+xWbO12OzsMgADCiopHUUsT58n939jYmHJsoqEkSHIUkY4jM1uOyKVqwdm++2FHaDAYn6Tk7BojMRHcsB23kQJE/j8qoiIlzExSlJFomFIy4zm2IU2BsLhXyE6xHaaYLduL/DyXIXL8MSsWx1o0BkfnLVueJxtgR1c9Br8vx+++cjs8gtvGwv2iwx8pBjB8TafT0alTp7S+vp5tcLdT1263s83ZUt7xtvGVpt/RI02yEdQL0amhYTVPOY/u87lAku/13EbQVaTjLPs+gMCHOuxFDqZwLxedyhQRSJgsx8xMu6xmNBplwSKWkZDf5woumAeWDwJtA6ciYnCG5P7GTK754L7wGPBarZYMqkX+FPGdOpSA0HwjgGcwhbzh+vPf7I/lxoCAQIOBGMuW7+WaMkB0Wz4Eh86u7YdP8qtOlgABAABJREFU6fRzCFjj/goGybieokwzKMbMN0GSr/frMfw5Mzd0kPkc89jf2Wa5/bm5OS0vL+eyZ86A2EH19bZTbt9AkeshyovtgKs/PBdF9oN2rQgk+XtnpGLgzbKWytqUSiWdPXt2ql3Lmdca9yiRCLajw84gpueSvkFRhiwFGj1++zEx8BV9KtrVmEnaCyTFZ0e58+E0Ozs72ZYHP4+2hLyxbxRB0srKylQgyQE/84EVHizd83i9HouCRV/tdBEk3Yf05WaSfA8NZGyriGLbNo5U5twcTAVhcOIINbMmVGzec+OFw/HFsqbFxcUcAEpFVBypt3PEFLPvZQkGywxi5DeOmw5SdPBTnxM0+rp4wAQzSVbwdnr85nPzkGUWRfNiA2jlHR3bqAzNy5hBOxdI2svB9P1sxzyn8SCPyAP3W8rvO9iLDJJ8f4wsm1KOd4oiOCOIMIA3oONJUJZbyh374KynHUeX8NAIs5/+3dc6IulMFMfo6C/f8+L5dSahUhm/ANXGyn2MvKCxMhH8sr/mFfdN2bhF0G4Z5XOiA0FnMEY9fX+v18ucpL3IJ1jxpax8diQGIlLfcRw+fTNmS+mAM9IfMwiRt9an5hvBYBGwtyOacri4jixDMRDiDKepXq+fEyR5/Cli4MXPY/Q3Apd4L4MsdDKpGwwAIkhKASZG71M87/f7mdMd99tS1xko2Aa4Pww2UY49bstbtAsxcu92aUdnZ2ezF7xK+RJK8pKglzxgQID/e26sp/yZ27Mc81RBZw8sUw76eI1yXLR7Xrs8er6I9jp5knyWlMv20X64HzHwUvRcz7sBQcySsI1Uf6K+85qn32M615oyWY87IEdbxv1m/jtmIh0MiIEV+kqpEl2CKuou2nIH3Fg6SR1DXW19Vq1WdeDAgUw2ODY+h/yz/DAb57/j2rkQ6H7t8a/+6q/q8Y9/vBYXF3X48GE997nP1Re+8IXcNd1uVy960Yt04MABNRoNPe95z9PJkyfvpx7/48gno8VFmwJJNDT8LCL2IoogyQLuReFTbSjYVB6OkqcMpPvEAxxGo1FucyeVguugfWpWrVbLNid6Y6I/k5RF2bnQnMamMqZCSRlRRvy9WOn40oC6Vtc89tjpeLEUIKbGqWSseH1oheeAdelum6UR3ngcQRed1Rh5YkleBDCRzgWSKCPmkWvcU0baBowGwSdwnS8NBoPskADuSbK8Uf7PR8FyXulUGgQwMl6r1XT06NFcRM/PWVxcVK1Wm3LwDfhrtVoWZIhEg0X5obPMPR90Iu2U+FmMdMYssv/3XFA24nuSKBsxa2QHk4bZazOCcvfLfI2yMTc3l5UuUi7o1DvqfS7HIzXWFDCLY9wLJLHMq9VqZTzhXoGtra2poAAjpjEwMRwOs2xUtVpVrVbLHBGD3JScMCMTv7c+8TzRaeP8MZhkPp+Lp0XXGHhY99sWxPn2swmI2L8YAIoOP4EK7RHLrp0hKBqDA2YMVBEs+TMfiNNqtXKZQvM48sTfexN9BDlcj3Tw/fv8/LwajUamxyl3vp+AnIGHSqUytS/T97OUczQaB3us0zxX3qPkufRzzSO/E3EwGGQBH2e5LavkhXna6XRy/Tyu43qX3qWuJqAk6lwS5cZ8Ss0tZd6UKqU3OeCSAl/xutgfy5vJa3E0mrxLy5UyMTiUatPtEmAT/Hl81POWhZili8Ep3h+DteZRtDnz8/NZBt4891oeDocZoKQPEzNJzoT60CwHOAzS7CewHJf6wJlc+ykX4otkpfsZJL3//e/Xi170In3kIx/Ru971Lu3s7OjpT3+6Wq1Wds1LX/pSvfWtb9Wb3/xmvf/979exY8f0Xd/1Xfdjr79y4iKRzm9PUrzmXI4u7+X1dDq5QKOBYKSMjpnBBJ1QO2csIbASdk3q0tJSFi11+ZIBiIGaF7lPdnFfudfJZRN2Okgp58DGPoKLCD5dAhQNPJ0hg1JumGRJjqRMIZivjtJxnjyuqBQNFHzSmg2X9/fEaJefb+NB+YlzGflE2UjJTByjNIkSUoGzNK7f72cvbKQSPZ/om5/lNv2Z+cI24hwWtR9BArMyLn9x24xu2Xm2kYmf80j76DySYibJsuNrfYCE2+CeNGlyCIZ1BflOYOK+8Vj8VHAlziX75vvscJHXlKvoPPkzRqLZV86Tf/czIyArIvOEjtO55n4vZ83kGvtms5nJgPUYM0nkBx1+8oC8YlCGwHOvvtjRLwJRBNAeF8ET54mZiSLi/UXfWe/bOeTeTDrfDD6YN1xPDMCRz26XzmIE+HyRqsfKflLnUCbIG7ft+WBGhf2Rpsv5/D/liSCZfee6dPum1GceS2r/F9+ZyLXldry+rP9pf8036zffQ3tD8BjbsZxy/Thow3G8T+/TB/VBfV6fz/rKfWKRUkGAuPfGc5cK7kjpAJn3fVEnRpuR6ovnnuWxfBb1C2WAlOoP7SbtsIMJlUolZzeps/msIt1IXywGD1PVJMxsuy8E6HEfNvvNoNfCwoIajUbWhrci0IYaQHFt2Sdy32Mp94VC9+t5fDfccEPu7z/8wz/U4cOH9bGPfUxPetKTtLGxode+9rV605vepKc+9amSpNe97nV62MMepo985CN64hOfeH90+5+EzgfkELRQSdNYnav9VCSYUYUUELOhi0CBe00czTJ58fn45OFwmKvHpsGkwYuOmcuf3Ce+tDIFABh59N/mD4/xpiNDxcWoCp1iGh/zjqUxBJx0CtyOo3ssq3IbBpCSss3d5XI5OzrdfHW/4rtq2B6VFA36VwKSGIX3+GImgJkPO1Lek+Y+xj1q5yIeSR0Pb4hO/flQjFy6T5R7luewlMDXLCwsaHNzM2dkDJT4TpaUw8l+WmZYssJSCDp30dnlywClSQlbjNDz/U8eL8uiCJzoAMVIeqyDJ1G26OzSOTbvTbE0i87ZufRXJDp67k+qj0WnxZEXdFIJ+OM6dj9ZQmLZj+1z7H4edV6K6OzPz89raWlpqi33y06M9YkdLinvdMdn8V1VviblyFI+GECzbqKDRlnz33Evk79L7VkjmORYzQ+X2RWBPc8z92u5bZaTcr27xJUAyGOLjqpBH9vhPKfuKwLuKTscTxujfWLEnfaaQCzKmYONXm+U32jHqcel/BrlMyhzcZxNNSVJW9rKxsQ9VEVyJU18CzrZ59I90RabDNLdrj/bK0hgeeFeUo+PtsB/s6riXMS9j5Fn1DOea65124O9eOF1F3UnA4zSJDjBoCOf57HzKHzqOpP1gIO38/PzGTA13+lrkH/uL4HfXnP81UxfVQWCGxsbkqT9+/dLkj72sY9pZ2dHT3va07JrHvrQh+oBD3iAPvzhD98vffynoug8pL6nMmRJhZR+J8VebXvhsGbbiji25+i3DYaVp8EKFZsXBaMJNuReXNGZJAiKys9tuvyqUqlkBtHggwY5Rnn8mT/nux48RgKMXq+XywiZ+BZ7AlOCNfOCJTweU6VSyUoaPNbhcPImaisdK0YfJmDwYQNgMBoVYxxzlIuvBCTREbYRs2KnLDIz4za9Sb3T6WQvaj0fUBMj4QR8X0kmyfdxrk1eQy7t9AbUUqmUOzbaYMRlb3xnyGg0yo4IJ8CJfTARGFGeGH2Pjh6jrPzO80DHKwJoP4vj5nOiEfT353ICPFbrBgYJ2B86BjEi7Wvcxrmeub29nQFSRy/Zl6J+xnHyO2nyskVH3lmWQgeTOsP3U7+YLDv8jvOxFyB0X330PKPRJupZ6yqDTTu01ON7gcm4Jor4RmcnRqPjM/zcKGdxfXj9xWwPgVcM/JhS+0ijvuD9BBduz9kp8y1mWzg+/hSBpNT4U3zlveanv6N8uHLAx09TlqxzYh8ZmCKQ5ucMwBAkWddEfcpxs1zP3x84u6kXflTa6TeT85+SK4/VOosAmfMV7/ccpV7m6pfp0q7SDsc58PP4rja+BoXX0Icg/9ivFPG6eA/fXbSXT3euTFL0V1jVYHKQ2OOPckLAwkwkeWXfrdFoZIE4B3/tHzJwT/+HVSYeU6lUyjLnFxJ91YCk4XCol7zkJfqGb/gGPfKRj5QknThxQnNzc1pZWclde+TIEZ04cSLZTq/X0+bmZu7nq5FSyjN1TTRUezmIsW22n4oi0/lm5HI0GuXeQs9IAyNAMfo6OzubvQncRtwpbS/UmJGIxobK0+V3HrdPxKLxSKX4GZWJUeJomOx8EbjZeTJoZ5SF0XOCpJmZmdwxyjMzM9nLb9knX+Msm9uZn5/PIoIen08XcjaCzhr3e3COUrITeVskOx6j92gZ6EbHkGUR/owOkPecnA9IGg6H2djNS39ufnNeY6Q9RZZPbjA16PSGap+22Gw2tbOzk50AZGXearVyx3MPBoNss7OfYYckGsz4t50zG2jWahPUWZ5ZZsV1ye/JPwczTBFgUmfQIWCJxbnKVOgc25kjkCeoKOIDnY7zAWaDwSBbD16TEXTF9lMHIXBdeO3W6/VMjg1CUuUmqXVEB8dtEkRsb29ne9YceS0iRsmHw0lJM8EaS5J8IARlIx7As9e6SzmRbpsy4GdSV0vT70nhc/m9f/d8Rx3MZ1h+fR8PBGL/+HuUbfMv6otoK+z0O4PHdcj1wXVJ0GuekMdFDn7KDvt3y5ud1uFwfMLl2tpabj+s13u73Var1cqyZwxkDofD3Gs1eGhDyk5wvfb7/UymfL9tkvuXy7BopPf+flOveZv0fX93ZzamvUASZdk85gvgfR9lmvd77Ueyner3+2o2m7kAY9E8+Pnz8/M5H8xAWlJWFcFqir2ClPwsJbMeG/eORnudAuORikBgBD22fdZrzF75e/tl0iQYxzH5Pm+DiBUenFdfT5Dn9WzZIRC7CJK+QnrRi16kz3zmM/rjP/7jf1Q7v/qrv6rl5eXs54orrvgn6uE/LZ1rQVBZc0HFaNz5ts0skMmCTIDg+/kSVkYFYjkDSwOGw2F2VLKfzbR2vV5Xo9GYWrwkjs9AbmlpSY1GQ41GI1erTofGRINgYxJL7ri/KL5YkArd/aBSoJOQiroy2sjyGWl8OpqzS1aYnl/zhu+msrJze2ybSs3jpcFJOZGRT5Giw+CXrXr+mQWh4jWolqR9+/ZlY9krABDJ76ag81EEkoqcV6k4k0B58oZlZyZ9JLekLJtn40sHsVQqaWFhIZNxA8hUxJB8trzYUBIk+Ro6MIwQRyeNGSzzQcqX+MXxe67twPMeZgn3IjqQXF8xSEHn1Tx3HziOopOoSKmMGPuS6mNRRJ99cPDEsuDrGXVneQxBpZTerxWdTAdIUiA6jpHlMty76R9Hvnm9nTwCFP/O8aci4CknhbyhPnHb1EkEBXx+ai04kOA2KLMEAtVqVfV6XYuLi8n3PUV++17yl3v/qO9tgxy88X1Rb/q+CAD9fAKMvZxc9rOILwy2mNw+7at/DKoGg3HJb6vVyl4czMoD23QGMrmnjMTsOMswyY/oM2xrWwd3z1y4/tb13DynnsFx0Em37vW9RcEPyl8kBieYfT+fYI+vpSxTr1BO/SxSkW2zbqHujm1SHmhHWbFQRAa+pJhJIqhzAJJBDPfBFRVx24XJQVsHB1lq7/HENe1DLxYWFnJrOG7NuJDoqwIkvfjFL9Zf/dVf6X3ve58uv/zy7POjR49qe3tb6+vruetPnjypo0ePJtt6+ctfro2Njezn7rvv/r/Z9X807QWSYiQqLrwiZZACSV44Fmg7iXYKoqFgiQdBAN/B4EivpNxeGyoq/+3+1Ov1nKKIyi9GROwk1Ov1XEaFjmvqf99PB9TjZITMe0XMC/PVisdOh40QT3ahYuCcWJHQkbaT7PE7i0ceVKvVLNvA6HKcg3goAcfH6OdeQCn1ne9lv9wXOkJUmL7P/PTpTnsZqkjmNdt2u0VZgSJH2MAyZt5sUP0iU0fTRqORms1mDsjQGYptSJPjfQ0g9wJJfH8H95HQmaMTboclOmVui0bO/bWhM88iuCTAJwAjID9XZicVUaVDGXVICtw4Muk1lSqhIXn+qVP20n18forMB69fAyU6w1zDPMac+iWVtfV3/tvAxieDFfGUesT3t9vt7Pkm7pMhD6MTHfmSAi2p8j/Prds61xogCLa+87N4GIn5x4yU+0kneTgcZkEiafo9NKlAGDPa/pzz4bHwMCCWC7HdlAyQnwSRHged3sgf9idl46Nz7/n2uBiE8DisF7e3t3Xy5MkMFLl0jO+Koh3zHLG0zM68daCDhwwYegzkQ0stdXdN9JnJ4XCZXBVlgvxcyq+DENTPRVmg+MJ5EzPNke+m6JRbvgn8U3qFaz7OYWpOLTNcC9QlXhNxfZl/tD1FVCqVpvSmM6/sh/Umbbe/M49cPue/2S6Bm9cQy/einFH2HWjkHieeZno+FSZfTXS/9nY0GunFL36x3vKWt+i9732vrrzyytz3j3vc4zQ7O6v3vOc92Wdf+MIXdNddd+n6669PtukNsPz5aqTzcSLpIKcieudqmwuZjqzJZRqMRPq+GJ2wQeCRtYPB5AjquBHT/ZbypRs0vCkHk9fTOeFepzj2WPriZ0UDw3EOBoPsJYSsU/fYU9mu7e3tLPPEaH10aBmJ9ntSrNwcQfdeK/fVm4vtYPFwATq0Jhoet0fenCubVASSGIXkKUlsz2OL8kVnjRuwSUUK0nwmv6PxY/+LxhcjwNGBslNsHseyhGgweexujGy7r/HzCPQpk+abT7DzNSxJGI0mGR+CdN9DwMr7yYNY9uTrvKbcf9/HUrYU0XGMAJlr2fNiuWH/pYlTkyqficRDCjyuvYBSEdhjuRqzdx6HHQQ6chyveW1exaNsDS4c5LA+8THNRXuSKFOWtdFolMsQ+Dv3z/znfjXqnTj2uN4i0GVf/D91P9uMc5t6bgQNRYAkOv4EIR7vXhkxgwkGDjhvHLsd7LjHlNfw2QQMcf65bmKfouyl7LDJ80eAwCBe5JWdbN/X6/XU6XSmstOU4wjkvBaj3ojZe+475pqQxiDp579pfO3phfS+R1L0B6jr4tp2IDLFp9Tx0dQvtjepw0t4n3+3nWJFB0s8Oe5U8KGIfB/Bjm1p9Oei3ow2q6j9uH6r1erUqzcMgi0DHuO5dCf5xCzkwsLCFBAzfyLgt15lKbb1vr+/kOh+Pd3uRS96kd70pjfpL/7iL7S4uJjtM1peXtbCwoKWl5f1/Oc/Xy972cu0f/9+LS0t6Sd/8id1/fXXX9An20nnV27Ha2ikuahSTmeqbSsRKnc71lxAflbMAPkabnR3arVcLmcb9xlVoKK3k08lFDfnmlgy4HtSm6PjWKl04iKO1w0GA21tbWXvRKFD4v+jo2BgxXI98pHld4wK8oS/Xq+X7a0iKKtWqxlv/V4PvgcjbsyksqNcRIVOp4UykVLEMQNDgxwda8+Hr7HS7/f72X62VFQ/9ZmNvfnGKHnqJJ+iNeP2U/JBnrnshhlRj4sRTTpSKcOSeh9U7B+dZhtLRk9jsCHKqufdx9SnDCyj9B5naqN7dG4pG+dyBGjE/TyWN/m57EOMzJfL4xdbOgBwLsfDa5fvnNlLtpkNIcVrmI2zrqFTSac+lvxJSuotgyTqP0f4izJJ3C9CwOOxc137vUvWU+a/o7b+LvIo1c9UfyJfCB5oF1KOFEEUwb7bjM6T+WMwRifcfIhliqkSI4NbBgOi3Pk7H/hDO+Vr/L+Bu9dP1JsRkJLiuNg2r+Xa87iob1M23nPg8bnc14fPbG5uZkFQ62b3kUEM8pc6QZpk/1hNYCc5ZpL69fFYVtrTeyMpL/6c1R8MwEV9YftKGg6HGQAoAkk7OzvZfalAQSSu+xgQsezQPp8vSPL9MasVM6jWnwSO5wuS3A6JFQomn5IbQSHHR2JAwG3SB6zX6zlfk/JOIOagI9sjECeoulDofgVJv/u7vytJespTnpL7/HWve51+9Ed/VJL0G7/xGyqXy3re856nXq+nb/3Wb9Xv/M7v3Mc9/aenc4EkLpput5sdrU3l8+W0bYXANKwFlgvVjpc3S7oNLworvF6vp1qtNtVfv4+iWq3mFLOBAR2QGMUyMZPkAxFoXMgbb2qNyi0aBRp9Ox3MIrkMzs+N74Ywj5wdYaSeRpGRE1/rjbh+uezBgwdz91vBtdvtzAhubm7mgGRR1DKOz/2lwv1yQBLHEB1Sk/lteaLTYb6eay9GHMv29nZ2UAg/T4Ekf1fUFh0l8oClVs4keR6YuTFYZQQz1Zd4vHLkk/vDuWaZK0GLjYr57/7Mzs6q2+2q0+nkyjAJ4CyrNk7RASJP6Jj70JLzcQTcBp13KX9cNp1lrkOC062trWxM5yJHQ82PKFOxv1E3RHIfvcmdwQ3KCK9NZQ9j+9QDlBvvs9uLfK/XFOU7lp1yzv35aDTKorTnU8ZCWSSRd2zHsme54dqKpUEMLtBpisc0M8sYwYBtUgTRlC/Lk+Xd65X3W8Z7vZ7W19ez44up13lgD+8x/yOvPP+2cdFmpkA854u2kWuDpVbuG8t0/Tf75xd8bm9vZ3uUJGlraysLYLmvknInzEYQaV66r+bb5uamarVadkCCJG33mzq6u3QPtkba1rbmNDelv8hH8sQ2n+DY/IkBDvoHfqcZyW1bPl21kdILpFJpkuXlevf/7lMs7d+rTd/LA2YIqhkYZZAl6iCPq0hvOJBJ8jYH9mlnZyfzO8xL9zvKqSnqBQfBpfGJsNbFEdhFoGve8n1z3DfXbrdVr9eT4/tqpPsVJJ0POq9Wq3r1q1+tV7/61fdBj+47OhdIIm/syDMSsJdTk2qbEW0rHyJ9Kk4beVN0rGN5Q4y40AjSkDjy5QVbZNSZgvf4pUmpTkrppf6mQ+jF7XH7RJ9SKX8CX1GU1d9TGflzG2t/7g2PdsaY0qcj5r+dXaCBdyTPBiXWwceMXIzeFsnGuUCSeea5sXGmY8jMCI2Sx+Ko3vmsb0lZhsGyyT6m9ibQGYtk3rCcy+35c29YHQ6HWWbD4MgvdOSpZ5bjWAoSSyD5LBMdOEm5TBLn0HzwtXyvU9FhDUXPJKCjUeTaieA7lYGJbRJ4RePuH2bELEd0zrwezkc2+FLiGAkl39jHlOxHYO125+fns4ywDbn/phNHJzqlu6jjarWaWq2WlpaWtLCwkHtuJIO/ZrOpubm57CW3jnRb3jhu60aWjjkzl3pWdLZSa4q8c5t+qSllhqDIa5VOpn9iJoX2IPIrBnSsr6M8RpDkz+yMxSCYnVzeXyqVMvBBu+CflMNH3cdnpAAiASTnwm1aJxEAch+YMyYej9sj6OQ4Dh48mIE/Bz24/9F23Qcp9Xq9qSwofQD6B+ad+eVxrKyt6jfeMb73O79P+m61Nae53NzE9cfgG3VEJI8rzhntXmyXfK5Wq1pfX5+y4XGtMqNYtJ4JAlKAJdUfrx9Wr1jOvVYISGnvCMjPRw9zbAT65I11A/kXfRf2Pb6TkBkqB3wIJt1XjzHyK+5x9HUXWrndhbWD6v+FVASSqByl6VNeokImpUAS9wxJ+XewUCmYijYRcpE6wplyXB2NoaFw7awVRdHY6bwxwu/IWBx3UaTHkYvIO2cufFQ5SwFpZJ2Sp+Pq6DbLIsxLabJB0bxxSYzH7N8ZxXLExuU6PBGGJVWxtIX/m9fRWBc5jPFzP5eZCM8RI2p2IAmi3bdKpaJGo1G4ybZorjwfboMyGfc1FfXfVBQp93McAa5Wqzpw4IBWVlbUaDSySJlPH/Tx835WyvjH6J2JpQ8EN8xgEXRQ3jl/digIeIoMadwHFfcI8odOr+UmApAU71JODvvmsTtSHh1QGt6itZ96JsfGMqgiGY6UAq7OgBrEOhtqR8GOIp1Iz1PMgBM4Li0t6ZJLLsnW8l56Tpq8bJhOufeY8L04LKciOImnWp2LUmDfn1NXLywsqNFoaHFxMXf0vcfvEkjfy+fzEBHz0MEeBoEYYfZ4mF0lpYIR8/PzUzrL/eDa8nOZ0eGcWMfFsjD3hevT8xkrFSIPyZcI+tx2zP7XajUdPHgw00XuO2WPgYnBYHxwUr1ezwC5x+wS7Xq9rqWlpZzMkLxeUgDYtor2d749foHszQeke5alttrZWKMucPvUgVw/tqf+PgY4aGOLdIbfu1Oki1Ol6rY3PlzFMslACNtK8S3qACl/OAFlwjqP6ysGBKP8FlEsi3PQiaWafq7Hz4wS+U2K+t/jc5s+5Mb9tR9nm8Zgh/nHQ7FYXngRJF2k86IUkCERJMWFm4pinKvtuAnVjpo0fbyrBZkC7c/j+1263W4WBaOzxeySn+FxSZpa1JH8XDsKPCL3XCCJjiYVLyP4BAE84YrRWf/P+bDh9yb6GHnz9X45pPcb2Rlw+YnbMu9oJOwM0TBznNHx5fxwfCllSKVMspEjD1gaxucSyES+MqJ4Pg6rNHEaUk5l0cENqbERXERj6/563ixPlE+CABNLqCJgSyn7aJCliQG0keCb0FPBjjgXNDRsy5/bkYoBFP54LRoUuK8GSefaI+Q+UUeYfwwuSMo5/QyeeB5Sa7jomXYeeTIXZSzyOQWS4zx535yj9qPRKDsK3ACKkXw+KxUkMG9S+waj4xfl3+3zKHKeOBXXMkGS16iflZKlovWW+ixmw31/BAp+HnU6bUkMEhCwpGyNn09QHWUkPluaZPApb7SZBlJ+pq/n/i7KBtdG1CVxDqOeikFC9rNUmj6RjOVpDJRwPs2fKENcrwZCDM7F9r1vjc/y/Fm/ctzM/PowCFO1PX6B7OndSnuDJNraCDAIgi2/EWDHPcu+131L6dUIZEej0dSeJj6L80TgyXHTz4rgP7ab6pN5Tx3sZ9CO+vkMRqf4F4kH/pA3Ucf58Bf6WNRlcUypg1IYDPbeaM8fAxMMtnHdsBrCfI9r7kKgiyDpfqK9FoKkKYElEpemkX+qbSoAnkoXy9liezQCcWEx6tPv93P1/SnnnKCIDnxUXpG4+c8KaTTKv+eF/Enxj048sxM2QO6zDUx0rOMGXxuNeHADU82OTnMPCY+KjuCNm5ddR5wCILFEif2Kkc3UdZFXKfkzALZiJ1iOPI7RTf+4PjoFKs41V+Yf24yZwyiXqbaK1oYVu6Nffq4VN50rRjG55iIPUkA/fua+eM7jMecxK0Dj6v9tpMhr6wPLUASoXCtceyb2I0YoSdEBtyNMhyrymfdSr1heUwA69Vw7eNYfdOSjnDsIQWJ20jQcDrP9iB6bs1+W31KpNHU4i9tLOSX9fj8XaXVfYz9T8m894e8cGXYblluWQ3nuOe/xWannpebZ9xCYe32TpxGoRB1EEOdr+doEOkiU+Shflt2icYxG4/eyMZDmdcSSSfOHR91Lk7K3CPxi0JCBypgFiRntVPAprj0pXy4Z54vZNoOZFL9tf7wO/U4ayyX1HEuGWVLlvxkwZDaP91B/1XZfuv2Nd0uvfJc001zL+kS9bYplkyxxo1yl1jTvKVpz0RYU7WEl8V14Mfvitjj3RSAptk0QtJdvE20218peIInAw2TdH200K3yiPKfAX6q8lWP0FgIGA2iD4rhp/6mjimzmVzNdWL39fxFF5RqJDpwNJY1bKhoQ25Ym6eiYomUdK5WhF1vMIvF/K1fW89vpZDmMx+FncmFFx8WAi06J2+fxkTFS5P6YrBgcDWZEkhEy7g1xSRP7urm5mW0W9X0+YpSOLTNJdqysHFyy4tIURt09DhtGz69LW+jsMxIZlZD5EiO/Rcq2CCQZpBHAMdtIBcix25FzlsKlLBGs7UVUtEV7r1L9j+37+uhguX1GvpiRiQYhglS2HQ1JNMp2wONnljXLpeWhCADaSWKUPAJT96Hb7eacKvPG5Q7R8JsfMQCwF0iSJoEUyojXPOUjHl9u8klcRXorkjelN5vN7ASvqANjP6PcxcyG+eAN1nSmKW8M+JCvKWfYfaXT3ev11Gw2p5yP1Njjy2MlZYArFbgg0Hdfi/plHpBSIIljJ0him9GhpKNHoMRxcM5SUXOOgZmVOI4IPqjDuW+G77FjICTlLBpskAcEL3H+I2iKfeN6on7yM7gRnqVm5q3Le82PqHvMF5aL1mq1XOaCwdDhcKh2u50dluK2GPnnnHMte/59wIr72WhPDlz52Q9Ki+tnsu9dypwCSeYbbTl9DvKXNBqNs7yp7LP9CI+lqOQuyg51E9d7yiezHo2UKqOlj8Nn+XeOjz4V1wr1dYpikNj3k49uy33yddGGsZ2YoZImhwy5HYIxjo3jZsDTdjgGmC40ugiS7ic6H5Dk/2PK2kJ4LpBkI2Cg5Pso6DYyVPRWotz0R8fMTnG73dbOzk7uxK0YWaCBJLCL5XaO7Proay7o+ALAvQwoI5POdpEvUbHS8bRCN998uAONin94gg2jcHaCa7WaFhYWcnueqFys9LkXolQalxYxYmMZiVGnOHYCWs5lNBpFIInjNj8c+Y1RQkeVOIc24gYpX060KIJm85VG3xQjuJEYjY7E9H907O10RQNA4JLayxHnw+CHRMNm/nJjPKPgBJ40/JaRGGywXohOlT+nk8JyJPc1zl/R/ETHh/yOMuW+RzBq+TrXO5nYdqvV0vr6eq7ENdWn6OhzPmL00tfZqYugIDpOqbUSo9rmA8ulzueER8uV2+Opo9arPMCC8kl5obN0LopOH2XJz+U+A85xnOuidUvHN3XKFZ0438/AVuR7Su8ZVMQScOsuy595RN0dqx4imON6IUB1n1P6zf2lM8yxcn8Mn+82GYCI4J2fmz88Qdbj9Tpxf13VYL5wjOYbASQzgQzsuJ+L7bzsuPyOOokyzzEZuEYQwh+Ss+d01qMMeC+WpBzIjO2QyuVyZgui/Fl+LacxU2uiPLA/nKui13a4D+Yvs6t7BRdtA2JQOAajpAkwp/7js91fUwwAMgPpdpzh5lijn+J+MtDnYIXX5YVGF0HS/UTnA5IoxNH4EHCk2iX5BCC3w2dSCUuT8/FTSsDtszzMQIn3UOmYnK1iH1LROGmc/Wo2m5mR4GbwlPObijD5Wis+OoherEtLS6rVaiqVSlMRGo8jpvTdLqO7dICtXLwhlCUm5fJ4w3PMdvi+Wq2mxcXFXMQlKi/Of4xcxSjtXiDJbZCHMZtWrVZzAMnkObHx8rzbMDBaGiklUwQsVMQ2Cql5SY3N90RDw708nhOD79SG2lKppKWlJTUajVy7cS72MmYkgnGXczFL5//tYBvcsGSCfaUcx5MP/XzzLhpuf0dH0o5QkUPPfnosjNpGwBl5kHKoz+cIcLdNY71XJol9NJXL5aSTNRgMspJYt+V1Tv1FXtPhiA6Q9cfy8rL2798/9V6RIjKQmp2dzQIkHoODQ95DwzHbgbNsF/Ek1YeUHNMG8B7qXH6fyrxSJ9EZYtk0wRxtjNeE10XRgS1s0/rC7VimvC7cH5a4+ThrO3BcMy6lTgU+OH6ut7jmot4lKKGNpB2JASkfKkBAEQHYaDRSrVbTcDjM7Ab3XzkQ46PCGTC0/BL8pDINBI6j0UgjjbTczuv0WquZ9SvKqHlO3eugIUGfnx9tu8dJm0LyaaTLy8vZvsVUkCTOp/k+Pz+fC0hyrIuLizpw4EDu6HSS5TW2y34TnMT5oxzwmqJAMMcc++G5i+s22l9ma91P/5+qkoigk+uKckO/lAFuj8H3XIj7kaSLIOl+p71AEoWYUSwLZpGTGGkwyL/3J7ZnhU3HieVbXtQW/riJz6UwdPyk/BuY3Y/U2HmPnYROp5Pb3+JFfL7RfAMjGwc6Ob6e2ZeooGnAadhdTmcHlGNwBIp119Gguh2+HNQGbWlpKZsfKhSXVjAaRCc4jmuv6FyRI+sof4w2pZznUqmURfAsK5bHmK2IVAS8+RP3KaSMVGpsVM4pZ9HtRT4RBBqk2TBHvkZK7buKhoDOBveVWO7cr3hiGHlpZy9utKaRTUX0+Xeqn4wMFu0T4lzQ0ZImp7NF8lqIRtn6JlXCkmpjNBplcxIdmejox8yxNAH05NfMzIx6vV52JLI00VXcaxUBt+chddKWx+MAifUng0PkG/ttgMXMrDP0dIqptxj5jwAlUmqdxL9jdicGI6IdoHPEPhBImt/cA8QACO+P67zowBaTbYPBOvVpPJXNgIPZSMsn54MZWeojBtY4hgiSzBvOmeXKARBJudMtWd5GftH++nP/T745iFCtVrPsNO+Le3koy1FX8xm0n76+p55uuFp69eOlU0vjZ9V39yiZfwTbbstjrFQquZNP+bkDSCSPsVIZn5qacrDti1iXRnCRWm/mQWqvIufBc5bS8ayySbVtnkXe+hrKHqsVIoCJfY/rwvcyuOjn0afj56n5jgc3VCr5F9QSrPp+6whWMbB6gfvfLOMXQdJFOi9KLYD4fVTQ/tx/25AXtU3HzwLL7xiJ5mKxsDNCHfvsRe63ftvwsE9ePFL+5Yf8O6Z96WB4cfslo91ut9CJo6KKTqbbj/2nw0aDEdtxpM/EI3vdZyoKAkxmWUg21swgeNw0sFZI3McSjTojU9zszXFGYjbK5Ig2o6V0vs0ny4w3v7ofJr8Uk8qYlFKSzNbRQYvRRvK0aGwuoyLZ8TWvUlkQ88NlhMw62eDErJbbipSKMEbjx/nys2zsI09o6GL5IR3TSDxCms4KDRYPi0gFIHg/DXzUQxFseoypOSqVSoXPSj2bskY+ppz91MZm8lXKH+Bh/nITufvNPvp+BpJIUReTL6QYEU85Pu6jn2ddwPboqLCPsR8GdbHtlD6MYNDy5x/ew8CN2zBvKP/ms0vAqDMIqCx/LCmL40jpPo/NgJd7b3yf58tOb5zr2Ffql9RaiyAp2twIkKwzTV73zHzRbnAPE8dCEBCf5fuL7Fi0/wZY5BNl1v1nUKSllt74aOll3z6nGx9xhSRpqTXRtQz4uN+ee2ks+85OUJ+4/Ujmm0/vS5Hn1mNKyX9q/xBLH7neuTcxZqVJPrE2Zm8MLGkvpTyA9HzRDyO/3FaKom0jAInrw6Xd9uWiz2jexwyT74kneDJw6OvcV8457Qztxfm++uGrjS6CpPuBUkqMFNPWUVmbzhckecFQwVK5xKyIF4GFmg6CF1qpNM4mxDICbyKXNLVxj7XWHLsXGV+aubCwoIWFBY1GI7Xb7VwaOjoe0YkmWEid6uc+2QFORW8IQBhd9J4Kjy06E3Rybfi5+Z7/O1plR45zbaXEo9VtpON8R+MdnZ5IMZLk/hKQFIERK1CewOXrR6PJPowIbtjfVH/s4Ll9GpforEZwzbZp5KXpPROxzCauIb8PIq6VooxW7AMNJD+LDpkdQ8ofHc6oAwz0orPj9mO0OBpDR6h5r0sm2e8URachzkEKJHGeY2SdEe9zUavVyhnwaIDZx5Rj68xRjPh6PrwJnhkxtxGdnSL+SNMbqr0WIgCKbXheIgh3iXSMAktpoOaxF70DiRTl2PPDLKefQxnl57HywDyl7TD1+/3shadej5QZOnDW07HPqaj/YDDI3kflkkW+TsFjt1y6nNGfE3Rwzr02PdZoA1NBOY/d7Vj3O/jBZ3Lt+16/3NrlgKPRKAP3ngfKPIMaLOc2UIhOOTPGtGu+39fzAAzrC89pSy1JUl11dWuLkqTl1iTL4uvJ0263mx1qwkw5ZYMyFcm+QJFzTUc8Fehxf+L6TwEgni5HfZ+yWbEckm1HwDEcDjO/iDyNshTlNjXWeHAVecpsZeSFx0o9z/+jX8Wggq9hJsh/e95Y9mc5onwxCHCh0UWQdD9QdHIiRcXtOmUuvqIoRxFIim064meQFA1BBE4ESL7eL/MrlUpqNBpZmYOjhoxCRaUcDd7m5mbuRLlKpaKVlZXcO0NSkdJIvMbjthNJB85vt/ffcTM5nS4aP1/LrFhqXuzkGODRwNGpMOAwSGw2m9lcEchxX4KfEzNJBGx7ASWCBpMzdTFzwTbIL2YMTY7CFWX82AaJjiydcMt+qhQyNTZ/FqOpnHf3j9kl8svGodPpJE++iu2mjLIPBOD4vGZiCR0BK0+Siu/hYgkRnXzOB41QBD0xyutsIGWmqAQuylLUMbEE0OOx8+XnM6NwvgYzHuQS94ywT4zkxv7H7Ib7biATs+EMbnDtj0YjNZvN8wI/qUxSap9Au93Oyv8cfBkMJgeg0FkZjfJZpRhBPhcg8jVRjgmADXC4zggS/RmBUCxLjQEjlt6YP3a0aB/M81QmKcVfZiYsz6nr7GyT2C//7XHHZ1POGEyMvKT+9/i4R7PT6WSlgTHD3Gq1tLm5mQFu2txow6N9NVHObX8sr3Rq/T3tm9u1/MeT8lpq6ZrT0uWtqnq7IGkFe5RSeta60PqGgR3Kpn2OSAa9J0+eTPpL1EWp0nCWxvt6+1L+LmbsYgArZc94yA8pAg7Pn9d2t9vNlZ+yqobAJmW3PZ7IHz8z6okIolN99f+R91Gv2EbzFSVcF+y/bXb0Y1LZwguBLsxeX+B0viApFb2ko3O+mSQrEEZKmG7mRlYTyyaic+byMDqx5fL4RDeXjcWsBMvLitLUpVIpi5R4MdZqtexY7NnZ2SlHNTV+Gnc6EswcOQvGF8mSaOD5WcpYxecaZNg4ev+WwR/nhnX1LC90ZJQGmfdZCbEP7HPMqKTGxu9SgIsZFDrlNvyUCf+/uLioRqMx9V6nvcilO3E9MJId+y6lHdMUoKLj4HXgSCBLI6VJrXm1Wp3a8J8CX3vx18Tj2200Y0SdPOV47LQacMQopfkeI5ueS69zyoTH65Oj3KeiTAkBiK9hdDyVSWI/WMJE4H8+tLOzk3sZJiO8fj7HG9v15nU6LZYRlhTHzLLHl8raFJU2RiexKJAVicCPARbvTXG02DqA8szPU7ox5cilwD7nlmVIdNAZQKG8ERR5jiNws1MaT83j8zy3LgUjxcCan7lv3z6trKzo4MGDkqZfB+HMMA89iXqOxJeXE8Bx3dCxdb/JazvibofAwNdvb2/n9oGYp+6fAyMsP6ZNo+5127QvMeNKnTMcDrOXjVqeuG6ZLSAve/1N3fLb0qf+y3Hd+4Ar9fgfl37s2UMNNcz1wfPjAKEDqjErGoFn6lCC2dlZtdvtQnvS6XRUrVa1vLycvMayyBJJ95Xyyz6ZR8zGReLJgvF5liuWo9pHirJEGfQ8Rd6TZzGTZB9pYWFhKkjmtrgvjc/g3zw1j4E5Pttjsl2MVS5+bgSrlrELcT+SdBEk3a/05YAkOsIpJWZKgaTozFlouYCl/KK108B7bNh4Qo374c+5t4bZH5YQMOoo5WtiaVykifFwiU4qOksi2HMfYhmJx+MjulOORIro1FLRxc23Bow+caher2fjjsra82kD5z6z1Idtm8wr9juWXJ0vSLJjRmfX/EoZZO5JijxZXl7WpZdeWsjDlGHhnis6gVbgRVHlVACBETTylwDSStyOXgog2vDQaNKw+3mpDebRINhBjM6Sr3f75DnlNr6klDJOJ5n8cBuO3rI9OrrUJXE/D9uKZJk9F0iKoG5mZmbqGNu9qFQqZXsSDHB4b8xuxHbtaMV5kyaHdLDO3uuwWq3mIt8EUufak0SAFGWU0V5fayfS/eQJbDy9LQJ6ZmLcVtHpV0V9Je/oNHvMlvmYOSbYsX6yHMZnDgaD7DUUDL5Q5sm3lN7iXEj5LNDVV1+tQ4cOZeCAgYf5+fksyObjsIso6gDKTVxv/CzaXAJxlpZGW84MB4+69pr3IQecY9q00WiUrSeXPHFPlvWqNHmPl+Wv1Wpl8hP3q1gfWhdlfWpvjnlfktoHLtc/XCYdX5I6GvPUGRLLsHUtAxG0OZ5/f1eUsdne3i48Bnx7e1v1el1HjhzJSi9JnvvooNPhZ/DKIJ36JHVww8LCQlYqH9vlIQrcjuAMMOWAoIrBiJTOTWXJ5+fntbi4mJWSkkdeb7FiwXyXJr5f9KuoE6WJXnSw2kHmuAY855ZPBvAugqSLdN4UFW/R9/49dV1RhCMuLqb+uTjjYvLndCD8w/IwL2BGvahgfS3r+11GZGBmxej+MQoRMyhxYZ1PJomKzlFZp4PJFzrgqfS/eeTMDstxmCUzUHCfvanT7dJA0Fl1diCCU85FPLqdSonKLjobHmOKUiAplrV53nnSnGXAWRYCZfN5e3tb7Xa7sJwqNXfdbjeXBeHvsV8cZyqTFNcF+UZjSEXue8g/zoX7HA9NcEQ48jZV8kPgyei8eeqMDkGTv+ceqRj15Al8dEJYupQCFwa6NvRcs5HiWmE0keuB5Rd0GE3WG6lMQRHt7Ozkst4xexr5EWXCTgtlxvPr+bTDTZ1DXci167/jHBMskyepzGbkrUtd6bC12+1MN1h3EcDQ8SEgjeMvAnQR1Fk+6JBbr1F+zTtmLpjhcl/jnLHcMwWS+CyWaZripm+3yXuccSP/3X61Wp16uXKcC/MhpRN8Lfke9W2c1xho9HN9XHUEhQyQud2o7z131jsGfzs7O1nwkraVc04H3ryjrJOnfL75ObcLkjZrsyqXZ1TVGAC21c6e4euptykb5HV0zKOer1Qq6vV6STDCdqrVaq58OlLMvLp/1MnkE9dTDD6ZCH5if0xcS+QpbWm0++5b6pk7Ozu5gxsMvAyOI496vd5UBYr5HkFSSm/EEuVUdZHXrcm6lAFcy92FShdB0v1Aezn5Uj7SlyrxMRVtdIx/WxlK+Q14qVpVG0Gj/5gidrTOSswGk9kaRlEdnbYjSHDh/tDBcUbKlHI49yL3lVmy4XA4BdDoXMWF7nHSQFK5MetC8OW2zTsCGfOaIM/3Mlrn35k5o/NCpUyFxzGTpylZi8Y9lhByLDGTY0XpyCcNxXA4fsN7q9UqDACkKEbEY4Qqzk2RcxIBrK8tcgQ4LvPYZAPE56RAWfwsOq6+jrLBMg4bnziHNpaVyvhQD645E5331KlpjAynMqCxZMQlOLEdj4GBEGYSWEcfx01HkPsgU9HZFDEC7udx3mj82UcTHRDzwjy3MWfU0/fE/Sqcl7m5uan9Ld5nwr6wf7GdOEaOkyCa61CaHB9NnZEKOPF5cS1G3nOO/AwpX8nATBLlNtoQBtJMXCceU8yG+BkpB1/S1GEflGevlVhyyuqE4XA4dQBAKjsfwS55QJ5TX3nc0Y7yVMU4Lww+ShPnMvLb8hszhpaJmZmZbN2yWsHj9vXWb7aDtFsxgGiKDvF8e0uStFWbU2k41L/9YEn/+Z3Szs4YPMX9NJYRPy8Cxr2yJrSflrNU4K3f7+f2paX0cQRn0S4y2OP9qr42xRfbhpjddB/cPkvpI0iKgQe3ax2W4km0WQ50OUsTsz8GVBGs8WXvKZBkO0ObkgrSRHsVg5D+LLZ1odFFkHQ/EBdFimgE6UAyo1O0gFOLi8qSC5jRO7ZbKpVy4MZ9oRPa6/WyCE6lUsm9p0Iap/M3Nja0sbGRbRzlc2gMGdmMxiY6hkVKK46f/LEDEq+jUxXb5WlXMZoXgYQ02VdjvtoZlvIv7/MBDP6MDof7YcXvcq+dnR2tr69niop95JylorIpoBQNt5UaHVC3FaNw7rMjlx6v++E9VUWynZJPn+IVFS8jq1Em/H3KGUuBfl5jQ8F2vSbYJ38WQbwpFfEjaDDxlLNyeXwCpDMFbrvf72tjYyMXyeYejmiQ3JakrC0SI7n+P+6bOXXqlJrNZg4Mnw9IimOmA2CKc+j7fSDG+ZbbScodlOJxRRkucrhGo/FBCyTrL99jOWeJDHUS9a5/otGPmRmWzpBSm9MN1qS8U+fsbFzfdLBiFDzyleCN449zxrUQg0NRL/g6OoFeK6PRKHtvHnUj9TudKd8Xg3EpPR/XMYNwzMjHQIW/8wuZOU98Dtci//a1tsH9fl/t3fcDRXvFa2MAieP32Kknm81mZqtiWVa73c5kxPvVms2mzp49m/GgXq9P6d1ut5tzlu2IM2gYA5vkH/u40B6fbtesVXX00kv179/b0c98SJpprWX9Is+sO+OzU7xPgXtWMqyurhYeLBNtJ8l2PMoOZTIGUSJ4SQWjNzc3p+bPPKMsum3aG4+d8spArHVEXAPR3hg4djqdLOMWQVIE8/TBSNHGMvvDdckMGn1T62TbVm7huJBL7aSLIOl+ofMBSf6e5VpRIZ8vSIoRUbfnLJCJi5V1xKnMgxXv4uKiZmZmspIRRrd97Gs8cz8ajyLFamL0IuVcFfGRxyZTKUVDXAQ4TTQcdNb8dzzJxQaS0V8aoqi0WIpAo8LoGZWoiVkk3+NrCZCKQJKvYabBY3W5THSsaQA83ijP8eji1LNJPGWJ5Tt+Zixzi7wy2cFhSQKdFfPf2S4CDzp1lllm83wvDaadbRIDG6TUvPt/OqNcCzTY0uSkJwZROPai9+EQjHF8drbsoO6VmfY8jEajXLQ+AgL3kWWalN2ZmZlsv8L5kE/o8tiGw3yJY5TNVLvRSTJvvT4t69Y9vj4GJRzMcLkpv+OzyZPzAYPD4WRDNgMGpVIpJ8vRBkRnLr4Q0tekZDGlAzlH5B2vsezYWeJJeHS4I+AZDCZl1JyzGLyinuQY+BJS8pw6zG35YBaWLnvOUsGWyBvrZI6H/eM8x/+tD3l8N/lMMOi+E2j6yGz/bRvGflBnb22NszsGgDHQGaP6Jh4IwrVK2XAQzrLYaI9lsV2raWZ2VmdrYzmZa21kYzTPq9VqJo9ug7aC+i41F9bXc3NzU0eLk6h/U75P/JzBGj/HsmNeua/kN8lynypxMy+5D6lUmhycxWAz/SAGrTudzhRosV6K+22dPaJ8mVjtwjHFqglfa3JAgXbW7TBbFQ++8Lhidv4iSLpIXzadD0iKjhKBChdaKooViZFXKZ9Gj86TBdsOOoEFFa0jMUtLS9lR4M1mM3u/kUuyarWa9u/fr3q9rnq9npU8xEiziUbINDc3p8XFxYwfkRghJF+8yXA0GuVSzMwMkJ9FYML3uH2C1hjpd104M0mMPhNExaiQy5+Gw+HUPpSUs5PKsESjfD7jsoNM59PKPUbUGZG1o0SgUa1WtbS0VCjbqZKJwWCQO4qVbXKuyKvU2OicmuwIeL7i+z98SiMN/HA41OLiohYXFzO+M8PDfqeAWqq0wPu0vMnWJSKWBWasYgBhZmb8QsVqtTrlPDLbF+c15bT7maPRKDs9y+PiCZQcDx0ok+c/Rp8XFxd1+PDhrN24vhkwOB+yo5U6Fc398/9FB0/E/RClUinb8Lxv375s7plNJRDwWPwcHvjCfrJPKbk13yINBpP3p1jO6vV65nBQDsg7gqYYxDFFnSFNMlTuK3Umy6LMb2ad6PByXxqf5b5wDTODHvtqW+PN8DFibp1DfptXKZDkPpRK45O/Go1GpgOoMwn23aaBxdLSkpaXl6cqOMibCFK99r3nKGU/qCvJU9sNgv0IwvzccrmcZZnn5ubUaDS0b9++qTkiD2Oms1Qq6ZJLLtGRI0dy6yoF5qw7Gu0xIOkujA9SWa+PZbm6W4ZnG1ur1XL6LNoJ8yPqOpJBdTzAJJLlwM9P6ZW45rzGLcOxLQcJHSSLOsVBlRi0lqR6va59+/Zl9ptr1FnCKK+eL4N4HxVPnWK55Ty6D7VaTfV6fWqPVKvVmsrgSdNBoxj8Y7DS39ufij5hqoTSeov3FPkDFwJdBEn3IxVFsvg9IzHSdC12pNRnTO3bEDJ6HUGClTY3hcc+MnK8tLSkcnl8zDff9eIIXswOcOwxepMCSaYiJyiCSP44Yk7eMmvia1LOTOokKhsMK1M6ETR2fF4qmkjlRSVPJUgngrIQ59U/bLMoCsb+SNPZBn9vpyS+82d2djYrs7SCt5NDMBp5Z0o5bXQm6aT5u3iKn5+bcuhTYzZQZpkdo+AR7NghpTE0Tymb8TAE9y0VNXOfeJy1xxsdU/fBBpNOYqosyn2M64DZDK4BzhszbTFjF3lpOWPJhfto/tDxSQVhXMt/vjQYDHKgPM4B5zylE1m2E51WrhH/7vZjO2x7aWlpajN5BBP++3zAoEESSwAtJzxQQcrbBPLZ80eyPOwVXOG43C6dLerKyG9mB2IgJ/IvOszx2RyPrzd570UENC4ltKyzL36WxzQajXKZWD8zvvTW/CZP2D/2N+qb1D1xPOQP9/Gm7LHXLZ1pzolLrOwg247GrJP7xaBGLJOOPoL7bP4NNdSHL9vRbz9euuPKqzQzM6PN2ngdL7SaU8+KZbG0/+djo9hOlEkSM0nUNSQCeZMDJXEdxTLUor7F02pN0XfhS9cZhKK99vMjaPM7tQicUwEnB2cHg/y78pi5onxRR5s/UXekDrvxWGlvKJOeV5c40o5eyHQRJN0PlFp4/C4qWykfDeWijk5Mqr24KdT30wBHZ8YGhNEk9ssLzZGMarWqwWD8YkSX2aUcXhOdXBsCOq17gb1I0djRiRyNRnuOw5RyMKICZHSYThVBirNXUWETwLD80E6Z0+wRJHsjKfc7kR8sC6JDlHKC4vik/EtGo+Oe4nmpVJqKskuTsrtUDTipaF7ZPp2tlLO5lyMW+0sA52fxCHs6t3RWPMY4T4zuuVwtxdsUUPKmfGamOGauKYIyG0ECEfLC6yyeRsS5jZkkg0SCHWYNTVw3vt+GLwI6/vhaGnYGX74cYrbMjmPKMU2BG6/HOCZGkw34beBjhJhBpNnZWTUajakSEvKH8xRBUkouLFfW0c5CW295br0uCAIoN0V7veIzY2kg9WKq3DXKHddoDHz5J2Yu+C4+jyEeYuM24jyWSqXsyGESdSevJzDimnbblOMUgIzy7DG4nxyn2yV/zgWSuJ7oaPoarxEeEGSK+2st2zFzxGuYDTPRcY3zS6fa93XV1V9fM9JPfrt0y9c8VgsLC2rWx5mWeqs11Y75HIGlKfIgBWIYLEjNlZQ/CCkVXI2+jck2wevYfN7e3s5VFKTsVdGhDbwnygCDUJarIh+JJ8d6/5v7xzH6Ov/ElynHShYGtVL9jvyJdtZ2LWaaud79O0uzL+RDG6SLIOl+oZTSMHFxUVGzbtZtRAUaF/RoND5KNgIkvqU5KlZGouycRaNpJWAFyv0bdBrtFBaNm1EVO9+MeEQq2stAJ9ftURk5K2T+kafuT3xeESCzw8l0OcdlBzxmgfwMl50wmyCNN1meOXMmU9I0VDHyxj5GkBajjeQ7iXPgHx437rlgOx5HfL8UFbNlLSXbft5en5uH7F8sA4vzHOdmr9IB8ofjJw+Z6aMxJKBiG6RyuZys+bbzmyoR4hyzj3bYbZgos36WeeAxxkg112uMitv4EiSlgKfH6mf7fTPnA5K41qxXUnwrovh+tcgDynjK+HuNxKyP6+Yt63TkY4kVnYFyuZy9e4VzzKwiS2OivHvDfyRmkXiyl0/Ro7MfAYT7mcpqpkpd2C/OV0oPU1+yTZbGuh3Kre2Cv6PTHOWG7bDs0cQSLhLlmjqVz4mOnssa/VnkGQ88YXYlAsMIDjkntCsmgiTy3Z8Nh8PsgBFnTr1+rVOis+qsONuM4I3PpnwykMf+k6eUKR/zPa95zWgsH816TZKyvUo8nCDaAYKBCLyLZNdgZP/+/YWnYXLNp65JBU/87GazmWUgOSfmeZGucr9SWVr33WuMgRP7YnEPM+WEvpdLxd1OfMeXZdFBcK9NEw9PSMmRyWuO44sn241Gk2ANKwkob+YX/bSLIOkifUW0F0iK0Ssr8mhwUwaT7dowcSOov/OioCJlZMPPjBtU2ScqknK5nNWT+2SzVCaCRkHKgyRpshclBQh8fepzGxUqiGjYvfHXYMBjjHuDTC7NSs1PNFjewyBpaj8Sa7O9F8Cb5el4WQlubW1NzW3cPM0+UgGyregERaJy9/UsbWCJgMmGy8DZbUQAEvfAkVIg1zJk55DyY8Ubx5DKJqWudYTNTrbnnidYUc7pCBEwuW3KRCqL5LFE4prk833t/Px85li6/36Wo77RsaCcRGfWz2DJna93lLLZbKrdbucAWOp46Og4tdttNZvNHDhidodOGftkPZYCM0VkftHY8p1GfCb5yv5zv5vngpujvRfQpaUpoGf++aWvqU3b5l2RnmJ/SZRbt+l54ymXzEZTRj2mVDY89cyUPieAJrCKwTQChOgkcq7pYDK6zvXFtcqMdFxXDnKlMqV0EPksOowE95yXCMZ8Px1TAjmO2+OlzTyXnfNn5oXtcqlUykrVvXeR9iPOmW2K7UkEHwT5MYARwV70MUwxGNtSSw88Kz2gtaDSLiDt1Mb7hJdbvalxkhd8HvlI3sZ1a5/i4MGDU30icVwpvZLaSyqNdcjGxsZUKbfBXQxikpjBibqeFQrus+fB7zminvBYyTP3u1wuZ6WU7lvsR6lUUqvVygAUAQn5FQ/bsT6RlAFuEzP37qev53dxH61/rLvK5fwBEBcqXdi9v0DpfEASFZgFM0aIiowfo4B0lHwv31cUlbDbtgLgpnJGFBYWFnKG0IvZb6r3XiBnTqT0Hh33k8/kZ6S4P8ZEZ5ZUKuVPNbJSsVFdWFhQrVbLOQmmWL7k/jIiHgEJo6w0cilnIAJMH2jh4475FvXRKH0YQHw25z7+RNorumx5iyUakqYiSXTS7ETW6/XkAQ2p55o8VvefJQ/RuYnRaPIjyojHwvXD492ZFbQh97WxzMNRMlMKJDn7GskZBBs/j5fZWIJPyyTlkCCLY6PzxmsZDKATxGg4sySpPVbR8WVAg8Y7Xuf/GdU3b+OR3HuR55N8iHunIlAkuZ+xNM6BjVqtlmVrDJz8jJgx8Fo1SIqybHlgFDnqlSL5d8BmdnY2yyp5j0Kj0cgO/CCf4xpL7SlLPXM0GuX2jqaAQFEmSRo7Yi5/oy1ycMQyRUe50+nk9p7G5/ogjXq9njvRz89z9i6Ow31lyWTKGXcAgPLtNR55SDmKAI9txyBXEd9TznAqQy9NHFbqQQIMk0EieUhb4M/n5uaybHjs4/LycnbITlxD0eFtqaX3/6F0y39Z1yXHjmlhYUEfe/TD9LU/Lv2Hp6VfGkz/JY4hZndihtVrbGVlJVunqb0tOzs7mp+fV7VaTQbgWFIc54VAwX8bLCwvL6terydtpwOyqUCJ/SsHuzwOlm0TgEbecB4sX97OEGUgHv5De2ze8Dl+tud4YWEha5e8435d+hB+TqPR0PLy8lTFB59h/XkRJF2kfxSlDCajl1RqMVoUHSZ/53ZjtMpRNztxjCJwUzcXbUyr+hleLHSqrBjsSHgBe49S7J+fx89YUpMyOkUHN6RAktt2TfPOzk4ufb2xsZHbfB2dw6JUeryG0TsCCBpGRlaiw05Fyvtci8zvU4bSREfUbZPnkaLR4PtYOOfx+Hg7blTKjE4Oh8OveKNmdPhNjEizz3TeUutAmpwa6EyN558gKYJ49oOn+Xg9mVKRSztsqcglo5oGZoxYsrQ1OlZuIwIBlkBE4OBxxjeg2/j+w/o/6I7tO7J+xyNmyUtGRAkEIz99TYyk+lqfJni+xLa4VuN8GxTGtrkmKSsGJXZEuW+TWRrqIkZGWcJp8rHynueUvioCSdxk7VJAZk+cCbfjSn6YopPoNZp6p1MEAdR/dCoJEjgPXuMep/ljXrMkz33z+ouHofhenwoXs5kzMzPJPUl8j1SqCsFjiHu+TO5v5CHn3LJlWaG+M6UACJ9flDFg0MJyRweZ10bw6jXMUin3NQI4HiNucsldtVrN7uNcO3Bjp7qllg7u4ph2raZarabe8mF97DLpjkYnNx72o0hW47PWN9f1RX1R61rPrt+3b19m/xqNxhR/JWXl6akMpGUwnoxIsO7r3G/7SQYKRcDLfE2BJH9PgOs1xYAfgTf9LoOMGJhIZdu4nnwdeczAdirjyP3aHIP9t6KgU71ez93L+bZfWKlUvqxDer5a6SJIuo+pyGlNfU8F6YUcjXfR9VLxhkwv2Og8+Dk0BNFgeqFaEVPRe0H0+30tLi5mJ670ej212+0pYxHbo7OXyiSlNmZLyjJbVFi+jlkAaaIQHVUslUq5OnVTTDmbGI3xc6zs5ubmcvuwPFfMQNj4ONJULpdzCpGnxtlxS0XD3Bb55/9jVDDFM7YVryU4js8jyGO2hw4sX44ZnxmNiml7ezsbOwEqnTA6P9EBcd9TJwCxNMLtebwELv6eADBG6FgXHiPe7lsKXA8G43eL2YhQbth/go9er5csezBRLrxuyF/LanRyZ2dntT5c18/f/PN6xR2vyF2fAkl0onx/nAPOd3S8Y737uV4KGfnmdZpau3xekaynSmPMr+3t7dyx8NI44MOggftBkJRykJrN5pRePp/SQjv7fqb74tI+6nHq6lgFkNrXkZLF0WiUybH7aznhATGpNWXHzxnyGLiwQxrnwXLPQFy0Taa4rlwNEIMvdsZYukp75H56jp2hMaUCYTFgQhkwv1OZndQ4ikASAYI0KdGy/on2OmY7PHbfG/nsvvo53H/EIIyvZdaCvLQ+KZfLGmxvqb4ryu3dzEZN4z1JffW1re0pfcMqg8hn2vLRaKQv6Ut6o96oV+lVepvepmF9mM37yspK4RHg1N9RbqzL4yErnB8GRaz/qO9SOt7741KBElbuOJhAvlsvxrVgnrvf9C9MqQwr/Sa2ISnTa3G9RTsS/S2WNtPmehxeVwx2WHaYTbRPeC6f96udLoKk+5hSSpREAaazTcPlz1IRVX/nxeCoCMGHIx1ewNG5YCSV0Qb20f+zDy5b6fV6WQqcz40Ay8qA47Oh4HNMRZs3Y6TE5LHHjJWBoY1QCnylSnfcJ0ZFo7FLlTIyMsQxRiBAI+o+Dgb5Yz0juIkboqPzej4gyQ65nQgDxLh/xE5QqnzCf3sfXOqZe2XmCMpj/6LB8LXRoUjtMYhH2dsQUiY5X1EWCVpcsuNnFsmj3xNGcoTSEW3Pqw0N94NR/jm+CAbMT77Pg3zjs6Ljemf3Tq20h9pur2tb29n9RZkkniLm5zACG/VINMYphy9SSh/aubW+ktJHtruPkdyHeGS32/G+LBPLTOi4erwuXUqd0ue+ej1GZ0QqXgNef3RsuB8h8rgoCxIpdXADdRYdQs4P1wqv83O5AZ332XniM9w388LrKwWSSqXpvSXmczzBNGZPpfyeJH/farVymU1Tysk1IC2yw/6fv7P/0Y7GsfnvGCiwDmDmwTIf1y5L4lL7cNk/Pj/alWjHrSeifq1UKprpbEiS+uWSnvG936uZmRkt9qSf+WBJv/KeycEOUUcQfJMPMYt4RmfGfdFQH9VH9e+O/Tv9wZ1/oDOdM1MBCxKDj3GtFcmIn0l/xOvcMh2DoSRuRUiVgHL80ffwunDbtHfsRwwMSumSRMuAgzbM3HieqTv9WUqeTMwUR5DENRPlxL/TpjoDxpLv1Hx8NdNFkHQfU1SYqe+jwrVgphT6uUCShZIlS+VyOffi0hg1oxMcn00j5Mid267X65Imb4133/0sk5UH+zwYTN40TUVO4v4mUqfTUa/XyzkNjGgxykHj5r9TR+c6+5PiOY0USyVcNx9LDGKK3aecjUaj3HsU/MMTveyQuJSH4+cJQlSynJfzAUker4mlMqlIMTNjqVImnhAVn5kyOpKy+aMBcnspg5HKJEnFG4Cj82v+MKJHB4MRczodLDEtOqmM/SMZdDrj4PlyyYwjglz3jGyyHI7r03v/otNHo+T58j2f/+wHdfK/SB/5A2m9v55dn3qDvZ/Nz+jIOnCQGm+csxSQ9XdFmVuuB46L13heY9teZ/V6PZcV8pic4eMLqX0f+WBHb25uLssIpsq/mDFPgaRUZsl9N1Da2dnJXmaZAkkxM+FnpTJJDDzEfnB+Y/Y7BoBMdPwZTGM7dKzIT/OdAT86qm4zRszn5+fV7XaTWZN4qA33RUnS5uamms3m1NpiqRIpRttpU2MQiv/vpWNTmSTKBqsNbCssX5b5CHoMaFKnkPl6rx2v6RhkiXJKu8XMw2g00vzuC2M3a3NSaXzwSWU40n9+10j//gPS9s5mNs/kCWWQIDGWkzU13qd41ehKXVl+kLZH2/qTe/5Ez3zHM/WKD71Cx84cS+oNy9toNJoKWs3Ozmb8jNk4230H9Ng3t5PyQcyvtbW17EAYzo3tsfUFeek+8L1yUa58rXlJHsXT7Tz3BGtRTnyQFkHMuTJJ1BlRnljFlFr3lG3Ldbvdzv2ksnNfzXQRJN3HtBdIig4FEToNi4UvGrGoqO28RIBVqVSy+m8bDkbTfb0zCuxLdETosPAUIjt/vqdWq2WAgNGdOGZGYaNSLHonjZ3v1PtQyDc+12Obn58v3FuSinq4fzzFxhE6K6sikGTHJx6Nzo2gjnDZiDhy7XajEowb+fkdDX4k93d+fn4K1DBzSJlyZsURrBilYxlOUcS8KDhgkBCzbLG00W1QJv0ds5XujzNfjKTRsWK0j2WGnktHctkfG9EUMKhWq2o0GlPj9NvPbYRj9ioC3hQwoUPgvhPMpXjq0q0YTLnq9ts1M5K+5pR0+z03Z89MnVIXDaufyb5GQG7dQ6fBclyUgUuNgWvMchfnmbokZj49p4uLizmnlZkFZ/isD+nQm4/uu9duKgvBsj0GgkhF8m+AZdlwqR1LWungRp1etM7d773KneiwxYAYgXYERnwvCx0wR7NjQIelXDHDT7sT15X3Y8WSK4Jd/53KcLtUL5ZVp0qKLbfRhtHh5710rgmW+HkKJKWqKvx9PJAhVdrpdm07XMFAXRlBXASntOn+2zylfSqXy1poj9+FtFWbzw7uWH7gA7WzK1aV9lo2NgZQI98YqOAYm2rq8g3pTW/c1H/72KP0Uwd+SlctXKXOsKM33vtGveiWF+njOx9XJPY7lQUnkOAcS5NTQ/v9fmbz3I77XlQa7L2VUd48j9EmUw+yJI961Nd5bcSAEvUmg9DMKKV0gm0ZwXD0G89Vbsexccyp91OyHYK3GGS4UOgiSLqPaS+QVITuWf8ao1ap32mwrDgYxfMCc3mcFw+jBUwnxxKMIpAkKdsk74wJo3vValW1Wi3nQLCG3DyxkolRnJRTav7EsjQaJjs1BBmlUklLS0taWFjYc69TijxG99+KyBmzqCD93oDZ2VkdPHgw64uf4X1HPk0nOqupfUAeIx3ZqMDoBKWizAaudArtVFh+YnlKfEcEga2dkSLgaccqRT6KOsqclD9a2X2n8fFYo6NoIBzBjp3i1IlYdAK9BiiPdChSBtSboYuAaa1Wm9oc7udy7O4XnZkI7hytZFkryQCAht9GaqO0NelX60zOeYkAmf2IDp0pZl74v78zKC/ar5bKJDHjRyeP+0sso3EdG/QY2HNPi7PddEztZFtnEDBYJsw/OhLkQQSKqXGmPhuNRmq1WtmLuH3ITIzo8vfzySQx0BX5SnvBOWKf6Dj7mfEIdIK34XCYndQZHTZH7c1X6znz1GWqUc97D0g8KSvakOiUG0Q0Gg0Nh8Ps5FCPIyVzBCbeT2FbxjFRFmiTUyDJxMg7D3LxZ7SNfm6pVMq958/XEhT4oCTaDMov+x0DHr42gnCC2NFopNpu1rxVW8j09Nz8vNZqYxmYa21kc2JQS31Dvnn89Du2tKXv/az0hFvP6NtueIceePuMfu9xv6fffvJv68ErD9bWYEs37NygSASFqawPZZT8G41G2dH6DIhaTggoYnuWRQc+yUvKs+eOPKcejwECAixWgpi2tiY6m4Fsn/zntU5yfwj4U+V2MWib2pNEwOV+UkdY5qrVaubP1Ot11Wo1NRqN7Md+54VCF0HS/URFIIkOCJUIlTGdAwp3NKSMWLltO7JcLDHyxqgeo+tsx2OwwjOxTKuobM7fc4yMmMbslp8b32ngz3mCVeoZNoYeqzdJWymmTqEy6Em1GZ1cKw5GOunQWelaiXEjLaOfvIf7ZrjHJc6XlSDLZRjdLwKc5F+MQPJkm2jkXQJIJc15cN+LjscuIoMkOwOx9Cka9lSwIGYSpMmpiyxr9Hh9AAAzgW7bc+rP/R0jl7H8QVJ2XG3qGHDKoOeaGWGPnVFFOt6xJMJjq9VqGXCNssEx0ll5w8Nbuntpl0fNtdxaIPD0s7gZN2avmNkhQKBz4GenTv6T0lF9t2c+sXQlBcoiKKH+8jjYt3a7nekGgmTr1Rjlp8PJE0JNMWuXChQUZfwMIpwR5yEmqTGyfDQVvPI1qXIt9419JXjw9dRx1DvkZ8zclcuTvVR8JrNVlPEoC8zUmuyUFVUKMIgSMxQMlLBUlhnj2GY8WIV2OUb+ySvyiLJGvrKfvM5txMyhgwEE9P6fvKfD6muouzifBGbWK5Rz2ypTuVzWzft29N+/TvrsQ67OHRizXh/PyXx7MzfPEXDF+aYu29nZ0Q9/8KSuv3v8d7XX07Pe+lZtd3t69Myj9b+e/r8kSeujde0o/cLoVCbJ6zpViuZgFqsi3D8CuNR74yyLtBHsC4PZPNyAwS/upYoyZR0UdTH7YjvMiodUMIRbBqJuNqVsa9HBDeaV9R8rCEajUXZYl4MeRYHmC4kugqT7mFIOgolGjkaFCj3lHKZ+tyJmlFXKH6dKBcn7eRoUDSIXExUpjQ8XZFHkguPz4mIExIo6GumisjieFkclEduOAMKUylClymncpsEaf+LJdgS6dp4MAnzsKg+A8JgdwaMx51HAzFRxztgODbTHW5SFMy+stJ3tsWMaee5smQ0FjZ/HEN9HEucrRTy4IF6TctrjPHqMHKfn0AbRvLOTzQMm6KCQj4zEc312u91CIJgaQ7fbVb/fz4CVDRzXkQEEAw00lKnyT2lc+uEodJR/7+OznA6H43eedNXVid1TdavN9RwPI78jKKHzHqOwdBa530uaZHaKatKLdKP7zXmIe6ccjIjkYEcs/RgMBtmcUOa9hgk6PAbvW7LOifohBpK+nEwSn+lMjL+znNAZT0XI4/Ps7KT6SkeQ6ygeVBJlkIEROlBcM3ag2B8HFRiRtp6LDn4s/fFrHOLeVrcTA4G0Y9YBPDiAFEv4eMpgBD0xy5wCewQp5FHMqkXdTzBBWbUcxXfSkHccu3lBQMr+xgAfZZX61X0ulUoajob6wOU9/dQzpRuvvz6Xnd+ojUF4tTXeU8SXTMcAA9v2s92/x9/R0Xd/XnrPE79G/UpF137xi+q99rXa2dnR2t1rqlVqGmmkszo7NYex//ycz43ANpVlHQ6HmV7g/FFeHHiIAWRpciQ5n0Gg4GtdVkv9yABCym+i3vRz3R9n7wya2B8GNO1HsV1mWCVlei76FpxLl+95PbPvBklFJ11eaHQRJN3HFBVR/M4CmQJJBCopxRB/92Iolyd13rOzs9l+pGhU3CcbVivCGAmy02QlQDBGhUCnJma8rASoyN2HlOEvcvRt1FPRIkaEGVEfDAbZO4ik9Cll3W436cwxum+FwBKUyAe/8yQ6kJwrOzHmqaOpdgwbjUY2jxF8+Dq2TQdqL6Dqa1iDTacg8sUvCXb/aHhsyM33oqOPnRGItLW1lctUMQMQ3w9EeaEjH8GvFTUBHWWv3W7n9s1YzpktiQ6L5d/GlDQ3N6fV0qredtfbpsZn8GiHk216vTG6TKeHfWZmxvw8duxY9h4wzjHliKU9x/vHJSkDSfXdl7taFmJWyP3wWnIUlcGM+MJf8snELGqKP6nPzQ//b+PM0lnKAIl8kvKOqvvearWye5lxpKNHh5hR1Fqtlnse+eZ1HKkoWCFN9u0YsLGvbDPKfwo4ml90kOOzqPujc09HjYEI6ziDS68d8jYV7KD+9jxSpn1N1B2lUikDR9GhjQAvZkSs+wwOrM8IGFx2a4pgP5Ya0hmk/EWdHu0X+cPyZjrF/t3y5Xl3cIXjlDQVKIi6j+uGpaapbA8DArymUqmoNWxppPHYapqUds3Pz2urPj5Zs9ZuZn2LwC0CFGmi0yVpp7+jQ83x73dcebXe/+QnS5K+7e1v18ffNtalR2aOSJLWtKZIlsdor+ifxDXgoMpgMMgFWK1brKdTJy1WKhVtbm7mghBsl8/mXHivW9TlEXQzU8i1QXvDgITXKEu1TZ1OJ9d+BNOcJ5Pnl/qUMur+G0jF9e/7uJ/9QqaLIOk+pr1AEheNlH+3TwRLvp4GLD6Dp7T4s1qtpnK5nKvHTUUEbZTsDEWQRIXMv9l3Knpen+ozFYoNr9v2PSkww7ICKb+RMDqdbJdKuijrkTrK2g5hjJRFB5ClSO63eclovRWn+xRBDfcmFGVZzGP3hYosgsZIdoxtDJi+N8Azuf/um8dtHtOJTVF0Wkk+Ap2yxzGyDT/P39GhoeNAGXY0muQySLfhdRZ/3CeWxtGx4PN+9+Tv6hc+9Qs6VjmW+86ZC+85MSgaDscb3X0yZMwEMmtJIGGZ6PV66nQ6arVa2aEg5Ft8ie3MzIzuvu3juv03pGffIv3Et0t/98D8wRR76RSCSDqtvMfXml+WQ99jYEJKvVHeRN3DaCgpZrukycbslKNm+fJhC97z5H7wHgIkr40oo1J+A7j/LhpL6nPzKd7HgBZllWNLyaN1RgokxQxODBSYp1H/ERhTVvjsVCaJ/WN0nWOKbXoMbi+CRzuG1h3WYylg6KAPAdSx/jHd2r11aozdbjcHACNISmWRoqN5Ppkk/047FAEY+RDBR+rwjRjE83OjTxEDIPyfeq9UKqlT7uiSTeny1rxmhvl10KyPAwWN1tiB94mfcb5TdsvzsjXa0tExxlK/cVAf+oZv0LFLLtFCt6tnvu1t2r9vn47OH5WkZCaJeplEX4K6v9/vq9lsZuDKYND9os5MrUWDKFY/xHGRxyyt5u/W/9Gnc3sxwxOzPQZF9r9YOWFqNptZ25aheCBE9HNYyWA+puzu/Px8tiapQwygUpVPFyJdBEn3Me0FkihMdIgIIOwk+HpGGtgugQtPznJ61ifUMILtZzGSnqpp9nNoRHg0sZ9vBRKdGkarRqN8zTKNk6ScES5yvl0DHw2V2zEwdFTS37lErqjduCnTZEDE59GAx9S2xzA/P68DBw5k82Vnx4DSzhDr7D1f3B8Vo5KpCCb7RsAWyX1khsLzFh1ROyx+TjT8pVJJ+/bt04EDB5LPooMdyeCBWQrKAOWAz6aDEg0l35HE9+SwLUYZI0jyPNLZ3t7eVm33jfPxCPBBaaC7t8eF9Sd0YmqMnU4niwaa7+VyOdvcyhpz94+OajRuUT/EN8s7+miw5XEtrd6jB21It+8r6zWPlz51sJfxjiWLXKcsnYub2M1TrtGom3x9USbJvE4RI+Je58xcMagQ26SxjqDm0KFDajQauWAA9wLFbKXLNuOeLFO/31e9Xtf+/fuzbFRqnCkyCHBkmK878OEcPhCH7dAWxEySxxBLyqR8Jsm6fDQa5WTIDmPK+WeWgzLqNRcBjU9adF9jwMUUdbjHLmkq0DEajTNbBw4c0P79+7Pjjq1H6KBZD/unXCnrtzZ+S79++tfVUX5voZ08Z2YZfIo/kS/esB73dMS1EiP51D9xjXWHXb22+Vp9Up+UNHFa4wmP7KufuX//fh06dCgX9fd8cM1Hh5gB2ZZaesNbpLv/S0+P/MxnsrmrVqt69xMepse9QPrd66sZnzmPdvqjraBu29xe15HduEmrsajZWk1/8ZznaFAu6/CpU3rvm9+sy6qXSVL2PiWSAUsENNbdqcM5HJx0wINz2W63MxsRA7P0VTyuOLcM2jKYQr/G/fVnPCzJssO1NRzmKxfcd1/LcURAyM9SQWtul7Ac0s+MQSOvb5/iav0hjdfo4uJiZs8ugqSL9BVTCiTFTJKFy0KbWuwpkORFEE+kKpVKOUPjayP4YblTKoNBJe3PbUzpiNKpiZkn95mLz22nHEGWZZDK5XHZi4FSzEDY8McooPlclKHyXqCUQ88TA6k4eC/7bCXkNjl/sSSK9/T7fTUajcyBMi/JBzvanH/Kjx1bKR3ZtnNF8GHHitdHoEEwFZ3YvYBnKkoqTUpHXN7GjfGp0iq3xXFGwGh5cJ/oDDri5XvoFJCHzkLR0FmW4z6d1dJqVpZyfOf4lEPM46GdUZSklZWVzKlm5Hw4HKrT6WR9TjlWlmOCbhOjorzv8KlVSdI9hxYljY/f9XzF8k3fw6hndC4IUiifMVJqwJJ6v1Qq2mzyenM77A/HlWqTewgYwDGvWBJip4QOA5/roApBNefYzlWlUpnKiJhSB3q4/9Qjo9H4tDu+SJP6MjoglmdS7DMpzpf1RKwaoP0wMKRdcjsxqOY1nJpHz4XXI/tCh838cjupwzLcj06nkysBj8ECA2HPZbvUVnPYVF99nSqdyrUX9+V5vNGGmMcm8jF1b7zO9xO88Fp/9+nep/XJ7U/qA/pArl2CLQJVygSDBB5bDCpxvXtdsF8b/Q0d3F2y7d2Ao/c2b+0/rI9fKt1bH+tvO/IxyMsxsdRMks6e+JJmd5dyy69PeNSj9KYf+AG95id+Qp16XTunxrJztjSdSaLdJFlmU0eoS8oCHvRbLIM82InEQ0RSc+uxW05YUcOAAA9mcpv+SQWnivpO3WbbQRvg4CPtBHWclC/btM5gPyJI4viiT+Iy3JSOulDpIki6j4kKrOg7afq4Y4IVZnCKQBKND7MzXFijUT7Dw30YvpaZJd/j0hRpUlZnp4DXWUmnol6+hlE6LiouPhuElNPhiNbi4mIyquOIkRUeM06M0kSyoU8tcJ5i5cgPN1tbSVnZsgTEvLMyGw6Hajab6nQ6uf1L5snCwkIukxQdAEZ66eSTb9E5jDLHMguWWKb23HgcEbC7LctZ0d4LyjPJpTCpEk9m4+JYaeAjSOJRxXYW3QZBkuebEUJTSqYMKqM8niydzH4/tnNsaow8jtVRb0ee7ViTt1FOWaPO6CzL3mK5KU+E9LgvWx2fRNVZOqgn3y5d/6WWSpU8+KCseO35b0cS4wmE7DP77R+D7NQ6NhhNkctQOWb3lQAnZj6pNxmhZT95pD0dT4JptxWznFGOnbEzz1JroGjdmIelUimXNY57I827WK4W15zXsvVMKutFJ96UOiCAzr/btczx5E73y4ctRL1KMESdRDmJpT/MBERnlwCBe3Zi0G00GuXekVQqlbSFI/BP63Sun9ap0QazbYIljz/qV95PnR1BgjQdJLCtqlQqumfnHknSpsbrNqXv3CbXKvU5T1Ql7wiUyC/3aTgcqjVqTUDS7gEB1lM1jcvtWmpNtct+MMBBECCNT9eUpLVaWQ+65ppsnd529dXq7/6+X/vH14ym9ySxXJzkNUswb6KdoVyYhx5HqoS3UpkcIjIcDqfWtNvlurEO4rN8miXXVZSnKIvsR9yjxz2VJgYGGEwjMKI+dj84P+6Tf2fAhD5SlOvUXq0LkS6CpPuYioQlRoGysoDdxbK+vj51DRVRBEmMktOQ+hQUtmNFYMEvl8tZRJkZFbbFGl4+j9FlRi+opGKEhgYmgkBfX+R0WAHU6/Uph9bPZelFVNZ0bEhFToSUL92wkizaj8RoOqOw5qvLa9aaa/rs2mezyL+zR5wznigT+2m+06kz72jko4Pq8duZJjDmtR4j3/tQlN3ci1IlCu5XlDePhbITQZLH4LlKgX5mlOhcU6ai42ue2CH0OJnpi+M6PjyuB56VnnqbdG/33lzWUFIGjCRlB4e4jMp8jTylc0eniODDwYnhcDj1TMtq5kiX+3rw6ljeF0cN/c3rpd9/q7Q5mBzhG42dx0sZjuW1DGJ4nbGPdljK5XLSofH7ylLUbrdzjrmk7CCW6NCTnP1k0IdkOXZpiJQvafZ687pw/y1XMUMTdW5qPCmA6L4wqMH9ZTFbQEeGY+f4DcAtT3HsPPWQ64vrLupdykOMpptHBk4+bTH1TEbNIw9iltEZYEfEIyj1XFEPevy0UfHEzY3RRvb76dE0SKLuJmhgRob9jwCA/Ip8cH+ifYmlhAbxxwbj/Y3b2lZX3dz3zNxQT0T+2pklKPXvMTBCHs7MzKg53JrKJDlwd7g50r/9O+mnPtDRUJPDQ6KzTL+AB1eMRiPNdDbUL0lnGuN37Fn/X3/99eN+DId67odu03M/L61rXX3l11W73U4GAJk5iWuRdpHybv7FMZh4qIbbT2U3CaC5d4j6PQYhGfgw7ZXR8rq2rBoQ0gakjpCPch0PSvH9RZkkf+bns99ci6mA0IVIF0HSfUx7KU5/TqAgSaurqzpx4kRmKHw9lWwESY6sxu+Z8aBARwCxvr6us2fPFgIPRj5Yvxud1xjxjKCN2QJuhmR0MkayIzmaGSMrBDHug8eZ4mGkohPaqOSlcR2u6+apHB0JovKlsTYQKpfL+s83/Wf9q4/+K924dmPmKDn70e12c5H0OEYqMcqAv7cD4z6QLAPmBUstCB6tPO0gx3dWUS487kgRwJEYFIhlTCyl4Drx3/yOxoR7klj+EwEAZdl05swZnT07Lu1IOZhxfKVSSceHx/XZ35He8wbp2i+dVk/5PSLmD1/saoBkGY1OqjfvxnISjoXvQ0odJkBZPa3TesS42k73XHWtJOloU9oabib5HduoVCpqNpva2NiYAuu+x7LArIyd9ljG6bHw+PxIfPGrHRvrt6jL4pywPI7Og+WUG7Tp9MSgg7MjlgUDb8ppfAllajxFY4yAZTQav68s6muCERPXOsdnYJfal8G9I1wP8Vj/mGXw+Llvgbq63W6r1WrldE58JjMLdtL9vMifhYUF7ezsqNlsZscZc9wx8MF+0jEnf0ulkjY0AUnHdvKHrNAxpc1we9vb21kZrGmvTFIqIBTniuCbYGs4HOqu3l3ZtcwmcR8OAbrvY5aE+sI8J18YmIwgYKezrupud9u7Jzp6z9b+Tkm/9m7p3/2d1NFkzyUd8ZjJiHP+oQfNau4/SD/5Y4/JTt8tl8tqt9v6nu/5Hj3uH/5B3/HO9+s/vq+UPAY8lhSTfJw3A13SRKdZHmJwKQJeU6Uy3qvb6XSyCpFUJomglPt4ubaoL7xWoy13ZjWOj6/i2NnZUbfbnQokSUpmeqO/EzPQtvNRlmMWyfPJYCarly5mki7SV0RFICmCHCuzSqWSi2zELFBRJonRPxorniJFZUllGh0GbsL1taPRKHcIgjQxggRGsayCyjGCPC46KijfV/Ryxnq9notskLrdbuYoxywSI42R7MCmoiE0QHZmPE5mHPy/f/d3jDB57Deu3ihJ+mRzvDnXETUDXT8jZngiEKZhpEGK/TJZWbtfjDhFkGQ5oAFlO+VyWcvLy7nIPMmgj9lMk50ORuhTDjDlPOUAsU/MAnEzeQQokqbkw/NMA2ZexuOu/ayTzTtU3xXR21ek9cp6kgc26uY13+MzNzeXkyeepBjBSwT9zJqa6AyMRiOdOfmFbJP0HQ96kCRpoS+dOXV7dj3XqZ/j53peecABQYGBEPlo/rLckeSsRNSJJmf0OEd2EKnvUnMSy7U4pgMHDqher6vX62VZDusFAmyPm6DIfY5yTuczpVf2ett8BMgeQ602OXbZ6ywCGWk6qDMzM6OlpSUtLy9P7Q/qdDoajUY50FrkzMcMg+9LBfrIn9Qaj4CDa3s4HFdMRH653cFgkHNmnUF1Rt7tMBhDXWgqlUraOHarvvAq6V2vl9aG+UxSv9/PvXTdMuf1ulc2MNqtvfgabV4qINkatPTsT27ozX8ifc9nJiDJ7TNzwyCFn+sAHrNDvp6g32ueQFParSDojJ+5XSnru3/kRyRNSh+79fG+xpWe1Otv5frgtZTS5bT9TTU1Kkul6opmZsavvJiZmcmCP194yEMkSQ9dHWmuP30MuE+ojERwltKLdvbdLwPdnZ0dNRqNZPmvx2IwkvI5/DJxB8Ti+C3DDCKxSoR61bYmjs+6zfaJesp+mXnjfnOs9BuY0SJI4mfRL7Ouol5h8MNB3dT6u9DoIki6DykKHinl/EjKymjo3EkTAxDBhgWZG7AdGSuXy1kZBB1BZjZipoKfWxHb8bISodNCQ8lsmJSPNrMPUYEzNS1Nn5xFYilVKmLKMiEucgOHoohvpVLJTm+JFMdBp5aldv6fe37o5Pjv9d66jnXG0czb27fnHHtJGUiKkWvz2Newr35GqswgGnJmhWJJnYlALUZq3WapNC573Ldv39RcObLkk59SZXqcKyp+y5yv4/jIgziXdOQtH25je3s7CxjQOYnOvSOBvs78ikarWW7qwafGn52ulXV8cXqvw3A4zAUpCDh4nGp0lLiOOX6vEd9HUMf76Tz3uif1wSukLxxZ0AMe9zhtze+ejLe7L8A8NB8tQ3bqbBhThyG4PwSUlPeiQwuYNU0R32XjdUyQxOeTSqXJ/h7qAGm8hvft26cjR45kffVaNdijk2ynJJWtMLG00byPVMQDt+fnUY49xwTFlFPKiMlraHFxMdvXSBoOh9nnXL90JmMAjSCNY6Zuo16MDiTlwX1kv70uSdVqNXO2R6N8CY/75lJr6lqvea4L9q2xsaZr16SHr0pr5XXtaLJGWErqZ7C9aLf8e0q3xuv8eZF+pDyXSiXd3btbT75D+u7Pj/tqkOQ23FdmvmhHDZKs02lLPaY4zxEUV3ffgbRVm1cFpauVSkX7r75a/V2zU26v5V47wmeY7/zOnzU1br+hRmZD3K+trS0964UvVHd+XjMj6doz0yCp2+1mL+k2ea5cuhfngP5SKstaqVSm3oMmTWwKS03jmq7X6zmdbDm3jJrXngd/Z91JQGJ9FF+bYBvKYJv1AsfDCg1mXTnfKV1D2U0FQ8nTGIywDboIki7SP4rOJ5PEhUSQ5M9pAKIgGxjNzs7mMjx8D4g0fXRoqm6fIMDPdgrbSoMAigrJClXSlANBEMX23R4NRlGkmCDJjibJCo97Pkw+KCG1gO3Qp4AZ+2NHLIIkO/V2nJh+Zlp8OBzqls1bsrbv6N2RAS/+OOMQQSxBcnSwowMSAZzngI4Oo+MEWIxQcX8P0+5uJwU6KQepU6oo56xLdz9ZHhTJn6VefmtlTSeXRorAzP1k/+0w87tutzu1d+KETui68Tta9cVLGlJJWtVq7prt7W21Wq2sP1Ie7NBQMpNko1YUwa5Wq1lZViy5iwGGTx5o6RufL/30TzxJ5XJZZxrjsc03z2bXR2DtNgg4mQnw//GdTgRWlv/U/BnARpkw+b01dAAMqv17ij+p7E8EANVqVY1GIxufSymj0xn7aAcsAlqCrdTLqPc63Y79T5UPpTL1tAEkRrtjeZ7Hb+ctrnM6s5xDBnnsSHn9MPMW5cTEYIxlneMeDofa3NwUqVarZesjAm3LgJ9lXcZoPG0dy/0WN8fldpc2pV98X97xZgaN+j+WKkW+RDtcBJJiAMp98nXuZ7/f170792blsb/4fmnh7ORwGOpuyit1GvfReV5jAJU20P1gsOxktadXfZ30kUddna0nr+e5alVna7vHn7fXc/JifyXlU9BRf8H7T+lP/lR6/G1bGo1GWlpayua93++rPxho9dAhSbugNoCk+D4hzheDSFwDln/qYYKGuC5IbtP3xDXd7/ezz9wv8oCHWcVAkoMWbttlxREkcR805zfuSaLOiIFFj5d6ir4S+WL9GPW55Yu6yMDwIki6SF827SUojKzYwUgBKUa3mAWKypuAheUUdnQj8vffqQh/LLezknUEmAtpe3t7qoyNC54gKUa9PP4Ur+L7OnytMyx02km9Xi8X0YyRvna7nVSGjgb5JZ+xL4zQcBNljFwye0Vg5OxBpVLRrc1bs7bbw7bOjs5qbm5O9Xo9xzffT6Mb37pOnvJ3GwUpfwKR/6bzYyVJ5emSFitAG50YUaLxJVGJFx3Jap75e2bSDIAoU+RtyvHgnNjBcl+jgXK5g8dgssHjiT/cZ2ZaLa3qMbuvRrr+S5v64zdLq6M8SOK7bwwCua/PBpdjowMTnRn/7mgxvzP1er3cXDi7dVAHValUtN4YBxUWmhvJUjtnbaif3G/LgpR/91QKKDEbEonBjhS5DV7j+Yv6JLZLoBznn68t4FHTESBRbmOUnnLMsRfp+lQ2mPxjRiSSeRozGpYf3kNZis49x8h+xww3S+3cHkFjq9XKvief6WjzuQRJvibasBjoaDQaOT0WX5bsMTNYQ0fOPOMhHJK0sjlxOr/p9nzW131i+W4EXCbzK2bSKANxvrmXyH2P4NTzcXfvLj0caqS+OdmPY3sbA6XUkZ6H2L7XtMfKfvt/Hyr02f1d/fQzpbd9yz/Lya8PFzlbG6/JudZGBlgsPzEAJU2XpF5/R1ff+znpSHM8Tz6tVlJ2gM7q4cOS0iAplUli0ImluqR4WiUBRNEa9PUui47gy/3xdfYBGNigzvSeIwY1GDAeDManqRIkMeDn5zhIYJ1HYpDBz+XYuOY8Nup7rimuf/tffrYpJfcXQdJFOi9KOTHxO/9OxcdFlSo3iEaZSpAgiQqO0TXea2PS6XRyByKwVMn7MjqdTuZAlsvjDYS9Xm/qGdzEGA2vDVm73dbJkydzypNjTzmm0ngh+vjsRqMxxV9GGmMkhS+RjOR9CqzvNdmAWllYKdGBcz/IXzuDdnRc0nNrawySFralpa70+fXPq9vtamNjQ3fffbfuvvtunTw5jiBGcJEC0wRrLPuL+5LMa+8V4P2cP3/mduM8m59WoHFvkO/v9Xo6ffr0FNBjG+5nlHM6+nRe+ZwYTZyZmVGv18s2fNtpZKQ4ntrm79fX17W+vp6VM1jGbWBiZO/Y8FgGkiTpn39WWj/5pdw1jnJzHdZqtWy8PKCAgQVuzo5rSlLmIPgeyiwN4kADrQ/GzuAhHdJoNNJmY1xS0mi2cmuDxD1YdIBpnO3gGsjRySTIKDqqt9vtTmURTNZDLPOjjvBPXMt0EGMmKIK54XCYAVfPN/WPnS3ziGCRZH7HjKSpCAzSNnBsJEaF6bzEkhhpAsJ9zHAst+OcpqLNbpvzxSxezGA5AOd7zUeu8xTY9rz5eTH7xgAds9lSHiS5D+QjAxCW01KppP6wr8Mbk+c8YlU6gxPuzBvOJUFXs9nU6urq1KlgqYBNyonmKyR8jQ8uYTvlclnN47doGZW9S5uTAye4zgg8/J3XJ8t46VtYt8T7eHjPqDTKXrZbVz1nQyuV8X7gjfpYthZaW9m8cH3FwCeDP91BV0e2disBGgdULpe1sLCQvdKj3W5rfn4+yyQ94tQ0SGq322o2m7nPqMsYtDRZh/uU0ehnxeCSx2sdRHlPBWb5Xj7LHWXRa9hH11NOLOOeg16vp7W1yZgJ7twn/50Kwpjv7CfljyDJtogymMp6eqsC26TuiJUDF0HSRTovKgJJVnZSvrY5ZfxSEcEIknyKGtG/pFzZnAWfDr8XmxWKo7WMtFD5HDt2TM1mM/cuAm9UdD9ipM33RuPhhcqaZpbupcCMox7ValX9fj9TWnQI+JJSKiwbiNSLLX0935weyUqeADJG1cvlci7T47GY31a2t7Vv06+/Q2q+QvrJG6VbNm7JnDbyjc6bKWbrbAz5t+eTxsogweDTRoIvrY3HaUfwREfEzyiKlMdoXYqv7pcVP51JRgoJkkip9zqR3/F9OO5XjDJub29PvcWdjmmq/OH49j169MncRzq6uqaBJo6yo4bOEHqOl5eX1Wg0smewvM8g28+lU+rfefgE/5fy6+aszuq23xzplldJDzozBmwfeMw1esGzpPdcNTHilK9SqZQ7hpxZU39PncBsFAGMQVLquP35+flMz6TIssp9enwGryHNzIxfeGnZpUFnmZFlgVkj7rfk58x4p/bW0RFNBXWKDqigkxodV3/OjJo/4/hjP5ixTUWXYxWCdQfXM/dTRt5Sd8TSZ6/hGLCyHqITRcDFdc6ItccUo9OcDwZfHNxwn7x/Q5KapaYuAx4/0JGGrUmEI8oWdao0OWSGpX3RvlEvk2IQ0Paeh534++FwmL342bSy2czGx0NZ/Fw+h+VQzKJ6rXiMBK92vD3HrVFLB1vSoaZUH07e1SdN9lJu1Xaz0e1Wrh8MkEQemFdbwy0d3cU32439mT3dv39/FuDt9/u5crt4DLizwpE8bq9Trn/zgHbJ43KwJ/octosOQHDPIqnf72fANNpFr2PzhIFoE0sApbG8EQQ6g+c59o/XVLStDr5RTmlLqDtYxuc+RPBvH8FBBM8nwZ63BlzI4Mh0v4Kkv/3bv9Wzn/1sXXrppSqVSvo//+f/5L4fjUb6+Z//eV1yySVaWFjQ0572NH3xi1+8fzr7T0BFIInlcCwZiJEYGhNGQVMgiQDFv9PIM8NAoqPF35lJYr3y2tqazpw5k/XRi95EIxJT+ine8FhfKzG3G8mOr4/K7Xa7ucij27OCJHDwd0X7PObn57W4uJg8DMJ8s5Hz6XoRJEmTEit/z4zF3Nyc+qW+7urcpZP18WJ8+Kp0d/9udbtd7d+/Xw94wAO0b9++XLSL44uAmgDCBpD8ZB/9vR1XRhv9ncmAjY6UNH0i18LCgvbv35+Mws3NzWllZWXK2eFY7Ny4vM/k4+Wl9F4AOy18Xoz8x5Mdl5aWctFAt8cySu7towNMkLSjHW00j+lPHiHdedlRffHqqyWNT2OKx9Xu27cvV3duA7eysqIDBw5MyQmdeM4Hx16tVrPoYyqz6Ps77Xt1+ZZ0zZrUbixpfn5et11zjf7H10qfONzLBQ9IPCGJvCJAsqPldew2LPt2fiK4lMayxQ3IkVzCQweAzp037ke9YpBgvcf27Sgwu80y4iNHjmjfvn2ZrPLUPvM/BZKsk4ootR/P/fF91nWxfI4AgyCqXC5PgU9Humu1WnY6HilmmRm4YgScJZ60B4w2e1wuffYcxTXsIBqfY2DutjgOypl5GzP7fieT15R1g504n7bJNbSpTV0ekpYHV09N9ZM8suyzr5T3GJAqAknuc3SuLRcMXp7eOa0Hr+b16MHNyXuSPJ5YGmgdwL2v/p399VqPGT7bmZmZGW0NtvTL75NO/br0Te//QE7fz86OX4T9pm96iB77AunPHj0uTfcR3m6PpWfmj/l6tnlC+3djW83dU+3crk+CbLfbuufyy/W6H/0RPe1fzmikkda1nvGk0+kky+3MU2fr41xQPiPA7Ha7U2vKQc3Z2dlcBQBtvzT2K3yCKwOzDED7d+s26ye2Y3nb3t7OXkchKXeIEzNKLAUk2d9gRQ99RtpN84S+KmVDGp84ubKykitB9//lclmLi4tTB4RdyGDpfgVJrVZLj370o/XqV786+f2v/dqv6VWvepVe85rX6MYbb1S9Xte3fuu3JjfEXkhUBJIsxBRkXu9FToc/VdrEiB1BUjy5SCqOetFR89/s2+HDh7NoT6vV0unTpzOjakPIdrlgpPx+GV9XqUyOO+f9kqaUIMnHSm9vb08d220jz4XPyHwKfEnKjs1NOUJu189mxJYlRua9xxNByOzsrO7s3qmRRrrt0NhBesSqdPfO3ZqZmdHtt9+ukydP5o76pNPA58W0eOStr2XJHZW072HEi/fGwyksDwQu/L+IGIWMRFlmaZWkqTLOGL31/SYDLTp9nicDKpbTePyWYQNrryUeULKzs5PLQK5qVZtV6SefW9PrfvyFWj1yRNK4NIR7HXZ2dqYcaD+HWUMCPDrvdJoZBa3X65lRilkxO1GSVD89ft/K8aVZXfXoR+vAgQNqaFyi2lQz+XZ3ZofMI/OCINTrifsRCNicWShab8ycRvIYGDH1PXR+98qm0KmI44pZA2mSeSEwiYEjOx5xHO5PJLeTOgbc0V7r/VgKzLGy7M3txrFznlL9NBAgCOfejZhJslxab83NzWXOvvnqTK2fmwroMCATdSb7IuXLityvuH64v5IAibyMpWhbpS2tLUinGmW1quP2Ll1d10gTXcKTCsm/lH1KRdv3yiRxH5HXUDxUZjQa6fjguJZ7UrcitXfB4dHNQfb+tTg/cc8vS01jgNTXR4BFv6FarWp9Z33qRbJuxxnXM4cO6xOXSicXJuDessW5S2V7K82xftwuS1/zpCdlcjs/P5+Vz29ubuoZ3/d9uutBV2pYPyApX3KXAjSeIx7lHufBgIIghm3GgI7H4uoVzxn1ijQptzNQNyiinWEpKG2Mn2O74Ix3zCTFfbsESbE/DjB6HpjJ9HxxjATTqeC2A8NHjhyZKmGPepQyfaHS/QqSnvGMZ+hXfuVX9J3f+Z1T341GI/3mb/6mfu7nfk7Pec5z9KhHPUpveMMbdOzYsamM04VCUYD8WQRJVLIULgucF1e8lo5xjAzRaHKBMKrAaLojOr6O9fxeEPv379fll1+epWfX1tb0xs++Ub9142/lFgfBgfvELBFLmugMWHlJ06VU7pPL4hiBigprMBgkS628ryqSlevs7Gx20k4klwIaSMUskh1sOxLmrcdoZXRr+1b9i09Jv/8X42jOQ05LG9trGi2M5/b48eO64447sn0FMdpEGbHij7JgYg0xS424J8F8YhmHpNwYCaRiJomGmkTHP0ZR2T+PI0ahe71e7jkEi14H8X0PMXPAvU7MfERwwUwSD80wn7e3t3PvczmhcanOER1RSaX8SUzl/KlZzk75uQafXF/MKBMcRRBIUOtMTTSQzAwdWB3XA951eDHLluzvzeqbbpOedsuOeuolDSIdHs5/zHgxKxMziZafVCaJzkfKmLpM0fJpYslclDs7R+4rnTUp72Aywh11EaOwBBqWmRi19XpPlf+4/K+ohJeZ3uj4mbfRdrgv8XkEK5QPUizro6NIJ5pz73VcrVYzZ9/P8Pu+JOXeQUbyGvVcxKBdPCzGutIOaSzh84trOY+MsNtW8oWj61rX875P+uZ/83B97GsfJ0m6dnWQHUUtKbdP02vVz/B4aZ/Mv3OBJPPd1/t/7rXzM+/u3a1ffor0hH//CL39mc+UJF2+OX0MOMfOqhTzwIE+nrjma+NeX5amzszMaKO/MQWSGLSdn59XTWP72Nb4QgZLzCsTHfPRaKT53VcPnG7MSAC4CwsLWl5eVqlU0tbWViYf+7VfUh4k2c6SLMvOPEbAPhqNMt3rZ1I3tNvtqVJ86wDz02Al6ly+m9E2NpYn+zseoOG1Q8BjXUq96SyW58jtcp5jf+JzuS+OdiUVqIo62W1Xq1Xt27cvF3ikbTPR37wQ6at2T9Ltt9+uEydO6GlPe1r22fLysp7whCfowx/+cOF9vV5Pm5ubuZ+vFkoJSlRqpuisROCQUsj+jEqKTrNLi1hCwL1LVGa9Xi9nJOngWrEaYBw+fFiVSkVnu2d18xt+QSdf9Yu6e+vurP+M/JIXVErdblfHjx+fqnN1P1MRaCvpwWCQHeXr30kGSb7HGZ7hcPolbeaVT8VbXFycAiXSxIjyRaCcT/PZjg3n12ObmZnRl5pf0hPvkfa3x7ypDqQr16Xt/dt6wAMeoHK5rK2tLR07dizrU1RiLFGM/0c+0xi41I7yYGMdD/SgsaEDwvlNZTU5V87cUZ5INKAxI5gqt4vEiBjBg/vmNm0YYqbTPLIMcl+SwaPXG43WKZ3Sg85Klw7G4OgUQNJpbAiPQQzLrw06o73MeHiNxsyC79va2spFIknUD5esnt3t30HV63V1u10dWWvqvW+Q/p+/GGeTDBSobwiSCIooS6PRKAMzdNw8To8vFZRwWw52RLI+i4Ee7omJzp6dQ69B9zsGUDzfdOrIewLm1P6jqBvMq1Qmyc5XSnaZWXBf6aTFQFgMQqX2T/CkxFiGLE3AJ8uzIoiM5WaSMjDr+81rH0PvjCn3wJI/7j8DGMyGmPhuKG+kp2NIvjHYJ00ytFxP/m61N97ns6xlnTl0RM05qTyazvoyYOd55p5b7sEgoKJTGMfPbJqJesprZjgc6p6deyRJB8tHdPrQId25Uta9ixOQRLknD81fOsx2oCkv1HMmj8XXbw23dAAgiWveoP+KswP9zN9J33/jWL/QpjAw6LHyVQEznS3tlKW1xcnhR7ZD+/fvz/jb6/V0xV136efeuaHv+/R0JikGURkUSe3TGQwG2fpgcMp8TWWnHBAtl8va3NzMVQBEvcLS7mivPCbPc2rPJzM6MejkvdKxdNe2Ob5zziCJQW/KWdyTRB4yMBBl2plEB2+9fq0TOM6LIOn/Ap04sRud3S1dMR05ciT7LkW/+qu/quXl5ezniiuu+L/azy+HqMBMzCL5GjvwjCTY4FMZS3nHlCCGe5KsoBxppgLjxlxnhLa3t7NjNW1EU3sBuPdp3759+l9v/1296c+k3/lr6U2//Yrsekae7HTQwA+HQ506dUpnz57VxsbGVClgpVJJOlc2hHZy7AhEZ8b7krgh0nxKpemlsWJxHfCBAweSc1kqlXJlTsy+lMuTTaeMJNFYz8zM6ObNm3OnoknjMq3PnPmMrrrqKj384Q/PFJ4Vc5Hj4TlltobKyQqPYI3OJcttIkhyNi1Guwie/czUPi/3y8YsgnKOw1kzZg2YSYrryDIa3/fAZxhEsIyNZaluz2un1+tlTjQ3gXvNEFyfLJ3Uh/9Aet8r/kGHT5zQ6V2QVO1Lze5kct1Pr2tG+yVlhpVzZJlKlaqQNz5Ahfzx/dvb2xpppCtPjb2djUOXan5+Xpubm2rulrQcaksbO2u5qLz5FnUMAzDRsabhpdNmQ1oU7ODcRGIWIJXRTmWunEVyIIClRyaeYiblj1j3nhvLbYzOut8+qtiUis7yeo4lkp0Jg4N+v5/pPfI0ljkySx956v6n3kPFcrsIIAlyqUsMuMxztm/969MkI6CRJvutrGesN1N8c/8doe50OlORbjvclDs7rTyimfpsQ+MT4pa0pE8/8pF63Muv0f/3WXmQ5FPHzAuu/Vi2RN5wHqX0IU3mQSxz9mfmxR3dOySNM9QnLrlE3/ySK/W878uDpBiUoFNrcOB1aieZwDPqFfPOdmazv5nLJMXxzM7O6rKNvv7zu6Uf//tuNidxnzXbZ1nve6+Z0/zPST/7Q9dlffazDcKksT2+/J579P0fOqbn3pwHScwAk1yuZtAQ5d+yzCyP20sBL8ueMzvb29vZK0KiXuF7/qzP/XfMXjkb6j64X6ao2xyAiJlh228HLExbW1uZDNv2xDLNOEbyw7+7jxyH132cZ/KUduBCpK9akPSV0stf/nJtbGxkP3fffff93aWMUs5dBElSfp+J77GT6s/9e1TIMfJLw5PKJEWHx33inozoDPteRgu3trZ0ujc58njh7PGsj3QCabhoYPwcGycagKL3q8zPz+tY75he/MEX609v/VONNEpuUvZ+FoID87notC3zu9VqZentFC0tLWV8s1JlWQMNlsds/g800JfWv5iBpBO7AYGHr0qfPfNZ9ft9HTp0SJdddpnK5XL2/oVoqFiGY8eDc2Xe+lqOxUCABsoOPIkn+J3undaJzoncM+1AuAwhkvtVVMct5bOnUdF3Op2c3KcUOY193GjvcgaPwwCWDqDlrd/vZ3XxvpeOEQHZSCNp87iOtqTKcKS1/fv1xG/5Fv3Mv/kRHfhZ6c75M9leh+FwqIMHD+ai24xw2rF3NJBz5KgviU6r74/z5vW/pS09dHXcj/ahB2Xr/cBDH6pBSaqMpJ0zxzQajbK9fV4DBhPWA/yJ/DcPKfs23OVyeeqoXh99zKN1I7G0mFFLgrcIShjltZzQaY8ZOkbXZ2ZmsjVl3Zg6lS5V+tputwudtjtLd+oX7/rFXAmmKTqs1ik+SY0ONYNMloEIPj03vj6VCbOT7/HHzCAzSdS/zt6bfzxBjcG+KN+Scg6hnTrLNkt/pfEGcYNVBhYoIzwghJkdgyQfakJb+tgvntIXXiW99K++qFGlogOlg5LyIKndbk+BmPgMj5O6lnPP60xeX7TjnCvP6c5gRw+/Y1Uff430r955i57+9KdrSUuS8iCJ+5vis+0UxyAEAy8xA8v7KpWKtgabU+V2pNnZWQ1q4xK4Qy1pW9vZ6aDMKPAZBN9b2tKoLJWrK9kzmf1aWlpSqTQ+KnuvY8BT2blyeXxoQ7QF0kRfWMbiuFKl+C4B59ynTs4rlUpaWVnJ9JRlOlbUWCbdd68/60MHZ6Iu8aEQRZltj9e0sbGRfee+08eK2dvYv6JMkuXK7Y5G4zL5paUlLS0tZby4mEn6v0RHjx6VpOz9MKaTJ09m36Vofn4+myRO1lcDRZAUS+2oaGOUykCByib+7QVGZc7nxrpnRoWtpC3UfHmo+8hF7uihM07D4VB/t3K33nbNuC+LZ8clDXReUhkk88GRfqfq3WdHK2M0xQrkTfe+Se+++936tx/4t/oX7/kXuq1725Ty8Atu+bmdrBRIYtmZo9ERePk6l+OxPt+Kxp/ZuLPsoFQq6Z7uPbp8ra+lbalfqejGJzxBf/uYq/TJo9KnT3866/fy8nLmTNjZJzmd7nExsmlZIEiiQmfZGE9Yik6nwW170NbXv/7r9fQ/e7paO62cXFB+U1Quj/ctWGlGw9TpdHJj4+88YIERfn4fa6tjdoKOIPez+DOuO99rB873+lmWx01t6iEnxoDp9IEDevT1148d9MblY+dVvWyvg9cx9zlxjDxowuRyDGY53BbHwzKNWLY7GAx0ZnhK77lKuumSitYOHplEM+fmtFbffRlk80xOp1CuPX9+Dh0w94eZt9hfl2jFdewyypmZmcJyO5YTMUJrB88/JK/DGDxgoIQgyfrA4Ip9t66L8hrBrDTRd6k9SR8eflg3t2/W+1vvn/qO46STZEBO0Gmi0xIdKQex7KSmMmExUh6zgnSgI+BicIXgmeWQ7kN8JiPS1lWpTClPyGLghzyImSS2TRmlrj+03tS1a9KhrR096UlP0kFNgyTbIepuywnLt2ijrTujM0niGvA4uF/W8niif0Jfc2Kk605Il6y1NDMzMwWSKPt+Jn0MZ0lSANZVFEUnvHqd7TTXNLc7Le1d55xUrVa1XV+WJO3vSp3BZgYwGRw00Y5JynRjQ40cOHP/G41GJosGSdeekbYG+dcrxDFY5r0HMAb+zDeWYHN97OzsJNcHARUDR7y33x+/joS6xrzw+rHcDAaDLDDs4KJlwfMVdUm9Xt8zMzY7O5sLVG5tbWX9Z+A8BpqkMQCj/DILRLvg58VglHlKvXshAyTpqxgkXXnllTp69Kje8573ZJ9tbm7qxhtv1PXXX38/9uwfTxEkUXlJ08dz0xhHgEEhZjQ0Kk1JmYPqa319/IwRYAIslrn0+32dOXNGrVZLg8FAd3bu1KY2dfvK+Fn7z64nx07D4/6ZDy4HcJvkQQQzpVJJc9U5feTMRyRJ85V5ferMp/QvP/Qv9fq112ebSKWxYWYpmcllhZGsyA4fPpwp+ZWVlanrSqVSdgKP+8dsXTxamyWTpVJJn1v/XJZFOnX4sG567GP1l8/9Tv31tdKtZ2/VVm+cJl9aWsrmP0YmpUkpGr/j3xEkkQ8sObNjwayYNDlNcWZmRn988x/rRPOEzvbO6o72HZkStKF2aUzkk3mwsLCQGajotLVardxndLDiniS27efHI8BtcGlMWJLGCB+dNSn/Uj2X2LhvlMWTOpnN4cmjRyeRQM1qRSuS8s6XwTNlwmTHxLz2WrSTzHFzjTpDtr29XbjXa7W8ph/9Tumfv/BqXXnddVmZyOzsrNYauy+DbG7kotN+DjPP7F/MPERnlfy10Y4HN9iZqFQq2WmZkSJ4tdNDkBRBgjOB7p+fQX5b9jmfziJaFszj1IZmgyeSMzqp4Mvp4VgO7uzfOfUdeUgH0/w3b+Oa8dqKzyNAssMYAah1MbNXnM9oG6RJttOl2G7fziL3QaVAZDziW5rIWARJfKmmrzdfTDzUhHYwOq5+bl99Hdoc/95a3q+5uTn98AeO6bO/LX37x45l1xsEeozlcjmTZ74WgmsyOpVFWVGOlRkBtnXPzj16+O4rkk4fOqSFhQX97F/dobv+m/TEz92bXc+1wbXHNSopy/BT13ndkO/msSsyuqO2XvV10vsf/UD9wI//+NQamJmZ0RWPerTcQrl9NhfUoQ9hYunjS99zWn/6p9J1dzZzNsh8Xlpayvj46Gc/W725Oc0NpavWlDsGPIIkZje9bjgfHr8zSZG2t7endBVL5k0OBFCvdDqdbM3F8XqdGJRZ/3jNEzD7HW9Rt7kiJ0XeJ8QqDAZRGeizvMQXRscgun+PfJCUnfQn5UuCqRvoq16IdL+CpGazqZtuukk33XSTpPFhDTfddJPuuusulUolveQlL9Gv/Mqv6C//8i/16U9/Wj/8wz+sSy+9VM997nPvz25/xRQjwalSu1RUjcbL0SpmjSJI4mZOXr+wsJADXnEPjRdnjALYsWYUotfrZVG8+fl5/cGbf10PXZXu3DcWqSNn8y+WY0SBytMRaH8+OzublazQQYvlJLOzs7q1d6s2dza1v7pft7z4Fn33Nd+tkUZ655l36r/rv+tj+piGGp+6Z0fHIMBOXCqK5jKjK664Qvv378/e/h2pUqlkpzx5nljOw3m0kmY09Ob1yX6kE7vZ0UUtqqGGRhrps6ufzbIY7kMqA+P5MQ9JEZBYLqyouYmWbwknv13TXSqX9JqbXpN9fmfrzlx/3HYqqu0x71W62Gw2c/xjNCzuSSIIjA6dpCyKagfHxPcJeewm8sP3lcvlDDQ4w8DnnNRJXTeuLNWJo0cz3l1y773632/a1mv/z3SEOjr85LMNpyPyBqwxM+N1zWOSJU05A6ZVjT2uQzqUBQzsRGw0xga13tzKeMN1R0PJExYjUOLYYkTdEcroeDAIkdroT3L2jXLqnwgSUqVe0XEmyCI4cSaYchA3SZMfpMwZD2tgqOEEJG3fmbS8dDAYTfZn7A/1Ox14jt9riVHs+Dzq2AiSYrDNwa1SqTQVkPB683N9XTzu3IdR2Elk8CYFkhzgYWAtlqZT15pHdEa5ZvmOpPbSGCQd7JT18NPSg092tKPxuFj2zZIxt53NK/p8PpmkeLR7qZR/8aYDkMcHx/WIXZC0eujQ+B1zXemKTenAejN7NvnGOYoZDgNY2z++MJVjsMw52Hd8oaOffqb0h9/5TUndMjc3p7mFBZ2t7R7m0D6bC+oYpDDoyn5/w+3b+p7PSQfbkz7SoZ+ZmVGtVhsHi3o9nT44zvo9YnW65I7EMjjrAgYH3Q8f5Z1aG6nAi9ulvY37gxj0JUggcGJGyYFF2xj31+s2+iiNRqPwhEzrR4Io69yYufX/bN+8dh8pGzGT5OdRrhjQiYH6iyDpK6B/+Id/0HXXXafrrrtOkvSyl71M1113nX7+539ekvQzP/Mz+smf/Em94AUv0OMf/3g1m03dcMMNyT0PFwJFMOPfmZaNTqaFmil6Gs0YVXedMaMofkYESXQQWHJkI+i9LHbC4+bSSqWSvZDz6i98Rp9/tfRf3jleSJednQAf9tufWcl4E/z29raazaZGo0kdPvsXQVKlUtHHWh+TJH3b1d+mB6w8QK9/7uv15me+WVfWr1RHHb1Vb9Uf6A/06Xs/nUVY2IeicjtpnLX8+Mc/ruXlZS0sLCSPAbdyNc8YUZHyLw204mPm5nNnP6fujHRquaYTl1yiZz3rWSr3+/rGU/u02JU+tfqpDCT5BX0ERCafmMVoD8fJQzw8f6yX9rUGAbF8x4bmvfe+V7ev3559ftvmbbkMi+cqKsPobKWcHY/DhiyW6phnRRTXjdvhKUXD4eTFo5KmMkl0GH0ErF90ytJYGhVmkk5cckmWnSwPh3rqLS09/Ut5kMRStOi008GUJtG7uF+FPHLWw9ma1N4ZSRq0TmpmIB3UwUxuFxYWNDc3p63GOKu02GxNRbrpRPE0KNaiW+/4WrbhvlkXxTp/Ox4DDfRXX/orDcrplzszA80DAvg8UixlZEbIRL4ShBIkef2m+OrPY6mN2yY11cwc8J3Rjk6XTytFjPLbaZKU60sqY5wqDSqXx/sYfSpmXG/Mlvge6ogYAXdmyDbBPPN+MjvR1rO8ns/0eCxLnsPUHhADVx6kEPnNwGLMbLn/nusNbeiK8bkN2lpa1szMjM4evlTSeC/oGZ3J2qXecj/L5bLa7bY2NjYKT5YzpUBSbJfZE87Fsf69esTu+21PHTqkVqul5tI+SdKBzU7GQ/OE2VT3k/Np+0NQmtqTxAxMuVxWS2MHu656cg2Uy2UtLS1prbZ79HtrQ51OJwcUeC31QnvU1tHdLYo7jYNTe4c8hsXFRZVK4313udcr7AGSmMVMyaGDWd6zxGCPpOShTtTNPLAlVgTwemmiQxnkNH89h37pvDTJrrtfUbctJMoe2Rf7ZRyLlD/UyfMfKxR4Ah4BnikGHXmSXsx68x7K9oVG9ytIespTnjLl8I9GI/3hH/6hpDFzf/mXf1knTpxQt9vVu9/9bl177bX3Z5f/UWSjQJDExZVC3hRKRhi5wCh8NG5cFI6QxkwSo2+8lhENH73KxTEzM6N9+/aNQc1OR4++bRz2+tjDHqS3XivdcPVI6731KSPD8Un5d+ssLi5mUWHWmqdAUrlc1kc3PypJes5DnyNpHAV56tVP1Zuf9mZ9V+27NKc5HdMx/cGxP8hAIhWhHZFIdn5Go5Fuv/12DYdDNRqNKcXETY488tOfcT8LwcRoNFKpXNLnz35er3iS9Esv/VF99PGPV6VS0fNf+1q9/Xfu1pPvlD69+umsPb/h2vsVSM6yUNE7CmVj0Ol0cgbSThOPH2WUi5FiR4l//9O/L0m6dHHsVNy+dXtOpj1X0dmxbJXL4420BpMpkCRNnCCWCNlZYiTQbTCTZXJpaSyBMfDyZ9VqNfuOp0Iy2xKzb6St3jFdu2urTxw5kgEfn3B3+ZbU60z2VXofgKQpw+3PotFNZTvJVx+gkioHMb3yLfeq9Z+kZ3xmMzO++/bt0/z8vP7+Udfqx58t/dWuauX+LmZb7bRYlpmVNf/9wzbspDiCTXI7v/fF39PLbnyZ3td5X3KsNLyeQ2YRUu8JilmemF3yOrCjyEi3xyNNSlhSDmLMfvV6vaRjY+fbdKIyfUIrgRrvZ7YwZpL8dyrqHf9O7auMTuxe2VnyNL6TzLJhcGIb4rVkYibJ68sU15ZLc2nvhsNhLnjCKgeWMjOb4kCHJG1pK8skbS4taX5+XqcPHZaUf/mzHX1mkghIPMcRvJ4rk2QdQ0BXrVZzAGc4HGp74x7t70pDSWcOHhyXOC6NT1k9ujnQtiYvmI56iiCRgIMZEz8vgqTRaJSVUO0MdzTX7epwU2oMqlPzJU2OAd+oj+VovrWpZrOZC6xEH8B83RxsZCCp01guBHYudR8MBlo9PJ6rB68VgyQCT+7RoXxLyk5hTGWTijJJlmVna1x6mQJJfiaDW+Yxs62DwSDHM+uVubm5JCBKvYyaNDc3lwvqsuzfa9KyG0+x5VplQLBIpq0bow1OZWEvgqSLdE6q1Wqq1+s5kBQdRRpp/24BpPNTlE2iYZuZmcktEGZzbFh9v40w6+EZxWRpxGg0rpd12x+598N66m3jdj/9dU/S939/Q//hm6XffP1v5oxIXCSMaEjjNLIXVLPZzB1RG52gszNndax7TLPlWX3bNd+Wfb6ysqLDBw7reZc9Tz+mH5Mk3bJzi1o7rZyjw+O5I3nhR2ds3759uevsmMYorRUCo0M2Uh7Tvd171e63NaMZHdABqTQ+Rv3M7nHjjzglferUp7L2/GI9RgxNjqhTCXMco9FIm5ubORBnhcmTdXicOZ3Z+fl5fX7j8/rwsQ9rtjyrV37zKyXlQRLlJFXmZOC5f//+pLMmTRwo8zIFgDgGP5uHQZh4ih7lmlFbnqhm54RZU7/M0uswrtUd7WhjuKaXf7P0kcc+Ut/2wz+clWA++klP0tri2FAdOH0qu8cRba+x2Kbr0H0NAwRRVrlOvTcuVVbVVVfXrg40N5SGS5dqcXFRi4uL2clfd131YP3B46SPHhk7vlwXzjZI+X1e/KGxZ/bX5P1BKdktlUoqlUu64Z4bJEl3D9KnkTLLF9clM30mBiUoBxFAcv+ReU7+Wd722pMUI9B0ek3RobtneE/hOC1vrBqgE2fAwLGlMnTM2jLTTfJa8O/Uj5Q3Zn+j3qYzah1iuY4ZYb4CwN9bdlLZQPPEfHbmyuRDdawbCSQ95mq1mj13Uxs5kNRoNLS6W8J1tCXttMfgle90i85iBCXkM+1xMqMbxuk1RLDS3GnqilPj0te1fSv61uc+V5VKJQNJV2yOwZ4d+ViuZ95RF9j+sASRgI39qVarWlxc1GpzVc//uHTy16Xvf8s7CjNJi4uL+s1nXKXrXii9/5p6tqfYckB+MOu30z6thd1l0mo0sj5HYOcMU6VS0Sce8xj9yMu+WT/63L0zSbZ9LJGLa9+n3voF9DGASmLZou2D15P7SBqNRrnTUR2QYQCW4N/7uEwGYaz+kcb2oWg/koknk7I/1G0s8yPFvc9RliMPvb4dMPNYU9VQF0HSRTpvYo1/BD6p7IaNRS4TUcqX3flz70nygrCDFQ2XgZoj54wG00l0+3QSXRphQ/4nr/lFXdKUujMl3XP5FdqnMZhY01oOlMU0rv93RMcREJePmE8pMPP5weclSU+64klamp+klsvlsg4cOKBLLrlER3RE+7VfAw303jvfm0XuPd7UCVTmy8LCgq699lo95CEP0ezsrBYXF8cKXyO9XW/XDbohM07R+WA0Pc6z5/b2zu2aGUhHRodVUUU/8AM/oOFwmEXKHr4qfWb1MxqMJk67U/xRUdlB8rioCJ26Z9mZeclyQzuQvp9O19zcnF5/y+slSf/8kf9cT73yqZKku7bu0lCTMjiD2fimcn/v04qYvSGlMkkERTa8UvH+PvY5OrzSpJRBUm7/EdeeI30GSVL+hb1+1qpWtb4g/dY/W9AN3/G8zBDagTq9O5cPXG2rp/E65DykshOWUTo4sSw0AhTfY6OaynY9cLfEaPPgZVpYWNDKykoWQV3UWK7aamtnsJN7GTUzSV47dLzdT2Z9mUny9XYMUmDmtt5tOtEZO6cnhyeTEXhG7ekUetNz1A8EwOx33OfmfjKD6LFZTxoMRbLDw+/sjEfd4kzSJbVLJEl3De6aas9BK+sggodUxt9/x+dZfsxfjyMCcp5u5rFQxmOUmXs7CBp4kqTLbwwUY4TepeAeA50rn8LF5/kZfJlzLMP1+mBAipUPpVIpk5Pu9po+e1g605jT5uKilpaW9JRnPUsnlsdysbx6LBu/bRQzg9aPLFdnds8Usxa+l/sgPTczMzM5W3Hvzr2q9qUvHCzr1NFLsrW+uVtCdfnmeG9V1FkE1/G4aq9B6176CiQ7vdVqVSeaJ7Ljvzt77CVdWFjQsaOHdNMl0unqdhYcNF+iD+C1PNscr4nN+ZKu+/qvz61Vk+XKB8106nVp6TKpNJ2dNVkn+fAJvlohBjQ8Xma8PP8kZ8O53q1LUvsVqacY8Ih7Zb2WWE5Kvi4tLanT6WhNa2qqWXi4TexransAg0SUAX7vtUXb4+v5Oe+xTWV7LNmW8u8Ou9DoIki6H8iKKRV9iJkkO2wxk2OAEVPlNKg+TU3K15u7HUavbFi9X8XKic4aI3ssfXnQbeP3I33hAYf00z/7s9o3WtG+trTdOTUVRTJZcdhBsbOXKcPd05Ni6Y7pM9ufkSQ9+yHPnuJvrVbT1VdfrZJKulbjGqK3f+ntU5GqFEiyIrRDf/ToUT3qUY/S0tKSLr/8cp3RGd2oG/URfUTd+W7S0bXhZmaCUbXRaKTbOrfpJR+RPvNrp/Skv/mb7L7sXRCrJfUGPd2+dXv2nUv+Ioj2OMhfOiGO4vut9TSuEUTbKWB5Y2++p7++468lSS994kt16eKlasw11B/1dW/n3hwATO0toNyZr6koK180aXmgU0unkL+nMhSxvMK8YS04ASKjX3YobDQspx6L+X1S4zK6ozqqkkrZWrXjs3ZofBjHI05NDHq73c76Uku8nJEHI7if/X4/5wQy+2uelsvl7KSmeCBEbXV8mtqpRkUPeMxjNDs7q8Zu5LZWq2lpu6Kn3VbSd9wsbQ42c445M0kcG2vmLWt28i0HzGgWOVhzc3O6cevG7O9TO6e0M5xel9SNHq/7GaPhnmfuobJcx6wGM4juDzP9Uvqobyl/aqXJPIjlwY56f9e13yVJOjE8oW3lSw8NVsy7SmVyslU8NjpmVqOzY6ePoCpGoK0LGGWOayraB691lgYaCNkJs4NmfvO53ufKrJDXFA/18HMsb3627RPHQNvgdhmY4nyenGvq614g/ei/ebqe/h3fkW2CP35oHNg7sno666dlg9k28phBylSgMZLbS2Wg3OZgMNA9O/fo7ddKz3rxVXrz935vpssMki7ZkpqDdUmT4AEDBSm59DyZ3wwOkFw+V61Wdbp9Wgd2VXl7D5C0uLiomsZz3lZb6+vrOcAa5crjn2+elTQGrNKkrDTymQHChz/84dqv8XuZ1rWeOwbc5LVD2TGAJ78diPCR2qTob7A9lqW7LC7e70qFKWC4y38DN885D8jh2BcXF/Whez+k39Zv6zf0G3rr6K26Y/2O5DzwPvtRJOoCaZItjbz2tR6HeWo+xDZ52qMDpfRT7KteqHQRJN3HRLSdUjp0+IjG/c4cGj5f72tSzglBEg1ebJ/Kw06BFYIXMkFar9cbG5fmcT3htnEE8J6rHipJeuVfnNLar0lP+cSXsn7F6Kc/Y5p5NBpl9ba9Xi9z0KLyaKmlW3u3SpLueOcd+qVf+iX90i/9kt78vd+rzaUlbS4taeWRj9RL/+t/1Vt/49P6wU9Kf/3Fv1a5Mql5prNLMljwqXV++eXVV1+tyy67THeN7tQf/Zn0hj+XTpVOJmuRWQbkNlnWJUlfan1JjzkhrXT6GqJUwyDpYael0nD8viT3l2UBnC8CMc6heW3jw5MPbSDpfBGcUHm+a/Nd6o/6evIDn6zHHn60PnnddfqjN/ZVGkp3tO7IlZqkMklsfzQaZQ560Z4k9z8eW2zl62dFg0cyIO12uzkQSZBMuWP5paOFfscGI/u874RO6Km3SdetLUu7BrDf76vZbGp+fj63ydh7HfiSypTjHUGS55d7x8xHr9HNzU1tb29n7+yKzsby6vjI4DsO1VWr1bKsqDR2TJY3m3rXG0b6n38+LuPhZnjylSc7EUiSCMDNL/I80szMjP5u7e+yvwcaaKO0kbzWbXstWQ+5r5GPkrKTAc03gm4bdGbBokMn5TMzkeK+Mp7wR1rTmp72JemlL/pjfe2pBQ011Anl9yXFrGkcewwMUA/Egxs8fs+VZZ/Ubrdz+1c5T3HuCY7j+KK87uzsZAA8OuvWVSZ/NxgMcuufWdzRaKQTJ05kAQaCLq5dzyFLQN13B0T8jqFlLWt7e1urq6uq1Wo6ecmluumIdGamlb38mRlUAhsHLWzHWBob54nEAKb7xTVknXVsMM5mHdERaVf3Hz9+XI/85m/WXfvn9KErpJ3ttYzXdMJZkhrnm0En68aUk1ytVrWwsKDV9mruRbJFa3h2dlbXnOrrZz8gPeOmU9mR0/5h5o3BlEp3Sztl6WxjPpO9qCu89hggfOpHb9Fb/lh6ym1DbWhaV3AMtsOpUkFn9er1+tTewrj+vOfY9pGfx6CUNHmVAAPLlhcDK69J6/cYWJGknnp6Y+eNGmqogQb6y2N/qWv++zX6of/9Q/rk3Z9Us9lUs9nMKntMReV2DGi65I68JgD0daRyeXwYzOnTp3OvPSFPLIs8MMrr4kKkiyDpPqaiUjspv8+ITkYsyaOhpFK2YWPUgoYjgiSWxNiplvIRY0fSHRnxc/v9vubn5/XOz/+1nnLHuG/3XvVQlUoltRbHL5c7eHYz67M0ce7Yl0xhViqq1+vZghsOh2q1Wtnpd6Qv6osaaqhHHnykDuxMIiYzOzta2trK/RzcaOkX/0Y62Typz6x9JnOwUvucpEk9b6PRyM3HzMyMHvzgB2tn/Vb9wKelH/qU9Hfv+pMp59zjogNmJ4LG7NbWrVPHf0vSM178YvUrFdV2RnrghvSJ45/InN5Go5GBJCqv1Al9vMZOv8fiqBWjV27XWTQ7LD31dMPqeL/Iy65/md7x7d+ux3zyk3rOZ7t6yBnprtZdOUWYegmf+2D5sVxFIi/tkBW97yGm8lMnY3FNGOjQ4aXsMWru6Ldl0YA6guszgxN62xulP3vVTdq3tpbj+czMzPhUqrmyujMTkHT27Nks0ly0R4RgxPPFKLudeR4xayPpgzGoM46ujrNYxw/t08rKSu5kpvn5eTV39zMtbUubm8ezqLSzgn6eeUfHJzoC8YQ7BwiKHKy7+3frRPeEFmYW9ODlB495VDk7dR3BDA+pYLY5zr8dgbgBn848nUzrPDoIjEaniI6FNMlAUGcNNdSa1vSu/yldfe8Z/fmbxn29V/cmx8gfE+2G/6be5rUsm6GzGsfgvSMcp3kaQQvHygyj55dZG8uj+xAdNsomnbbNzc3scwb1DDy73W4S6NohI4/iXhjLh53qJS1l2avZ2Vl96Jufqcf9RFn/z2MGGZCibjRPXJ3BOWIZsB351F5jlzcyMMnDf6xbjg+OS6NdkKQxmO33++r1+/qhn3qinvxj0rGFTtZHt8mS4JTj7iwRSxxpA0ul8SEwDrac7pzOgaSiMq9qtaprTnX0yvdI3/2JyYtu2a5trvkwHA719ofNa/7npF/8/sflSiSpK8wjZ4IqlYoecPc9eu7N0hPvSe9LYjbduii1J4kZ23isdnTo/W4irhN/zooDU6fTmXpVAWXIYMtyvr29ncvam37q7T+lH/nIhh6+saQf1A/qKl2l/rCvP/rsH+mxr3usnv+25+vm0zer3+9nciJp6t1Nzoiax+YL55/leBEkMZPk4Iptkn0G89RzyPLhCxkkpTX/Rfq/RhbKIqNLo8+IsBenF5sFz0bOQskoX7k8OaXMDhWdBEbfWKbg51ox+blUMjYgr77h1fqz75F+4M7L9YLf+R21ez1t7Tsk6RZdcnasyOl8VqvVzKG1wpTy74hpNBra2tpSp9NJvsvoi/qiJOnrPzmrf/0//6v+/glP0N980zfplmuv1Wte+MLsuspwqB993et09dm+HnNCeucd79Qzqs/Inh0dK3/uAwZShqZxerKxfPH0PZky5CZN88dzY176mWuDNe20N/XQ3VOAT1xyyaTP8/M6c+CAjpw6pYevSp848YnMcWs0GrnSFj+L7xCK/0sT54bAzXtjmNVkJsnzcpNuUrPf1NX7rtbH3/RR/X9232kmjTMkd7bv1FOWnpJL4UfA4r7S2KUieySDNpYNdDqd7IACBgtGo71P1GPJQ2pNud8MLriEwj+OYpdK4/1yI420fPqEqgOpMzerp/zYj2lnZ0eXXjo++a/dbuueyy/X817+NL2j9E49HJkkG5GiU4rMp5hJIj+dSbKjXCqNj0l2qQz1ywNWx9nQtUNH9aCVFS0vL+ee9YBHPEKdmZIW+iPNNM9kOoHv7+DmZ/PUfYxZ7ZhpIOCL9Petv5ckPfmyJ2thZkG3btyqU6NTulpX567j6V/ui511Opp8pnllB42ZcTsJXgMxS8VM7F6ZsAiSUpmkLW2pr4muuWJ9rJOPafLyUimfabC8ErhEmWd2loEJ959ybmcw8pT6X5rs34nA07xzuwwasNzmS60v6fWfeL2+/5rv1+X1y7OIPsnPY3AlBjoMciuVSvYycAYHTHRAbQdjyZC0e6SztvWyv+3qR2+SvvD4L6j69ElWpaKK9mmfzuz+W9ZyJtsRDHkPUbk8PvyIa212djb5glJnPOOGdjvyXsfD4VDbW/dq47ek04c/qD/6l49Qp9PJyieXNC65I5Dz2Mnb1MmZLoX0mFx+zTmuVquZfljrrp1XJqlSqWintiJJ2tfKA1XOM/e4DYdDNdXUqCzNzK/kHO0Ikqx36vW6Op1Obt/uTQmQZCDt+/xMy6/H7ExSpVLJvT4h5dB7vyf1sp/F79z2xsaGDh8+nAsCsPTQ+6zOnDmTzePW1lZ23Wg00p986k90+n+/Qa+/QWr+TVev/unL9DXD5+mYjunzj1jVO+94p/705j/Vm29+s77+8q/Xg1cerAetPEgPPvBgXXvwWm3PbEs7UkkTPeHnF2WSGOyI+/AcLLYMu1zZ/o/1arfbzWU1ucYvRLoIku5DopJMlWlZkBjds9By0yEzEjSedhq88FmywP0mJr70zQvfRihmFnivFez2zrZuqdymm66Rjl7zNP3grgPV2Td2+i8/2x8fI6q53Bj9vx0xOq9WWHZGfRy4qa9+BpJ+7MObWuh2tXL2rH7hF34hyfNPf/jD6vZWVR6d1Dtue4eee91zc5G0SDbq9Xp9qmzp2NYxXbHrcP7NA6U/u2pD/23X0RoMBll6X5qUq1ixmP+DwUC3dW7TI09JlZHUrNf1U694he68665snj72uMdpu3daX9z/Ua2e+GSmXMvlcu4EOj4r5XhIkzS/S8FcSmcAyggR66673a6GGupGjfeL/PQTflprN6zptc9/vv79K14haWyk/k/zTpWW8yn1mNlyf32cqXlcFCjgPcx6bG1t6fCugaTMUiFLypw288KZIgMg38dN1M6qOXvEzbl8qaV5vaUtPezEGLicPHpUpUpFg+3tTGaGw6G+5Vu/VV9817jk1C9z7Xa7mUEuOqXIUUuCD/LUY4qll76+VqtNssXq6y+u2dGZOWn9sgdnpY7k1Xy1qjONWV2+vq1qcz3TP9QndLwti7HMyuvZpw26T85iRiqXy/poc3yM/3dc/R26Y+sOKbxXysRXAlA/xf1akrIN6u3ttl747hfqsUcfq3/9tf86cxDMJ2epvVYNkKKjHfcyxDGw1MQZDfbnjM6oMpBO10o62B7z4UFnpWP78iCJ2Rlpki0iEIgOpJ0XPs/lPAymOEtA4kuKCT74XjE+yw6iHU1nTPzT3enqh/7qh3Tn5p3601v/VP/xcf9RT730qVO2rtPp5IIy1ovMXHnfonngnwhKpPxx5babDJIY8G1oQ49bk65Zk+7a0VRg66AO6uzwjNa0qqvKV01lIK3jLM/uH+csJecsa7Z9N08j6D3ZPamrV7e1tC31mz0967nPzfg1MzMzBZJihsrPT72YmeV9dpBjoNDvTpOkte2188okzc7Oql8f7+k62B5poEFuHjhPdL6bGtvShhq5DD/v8RzOzc2NT9xbXZ3s2z2VziRRf7ucLWaAPC+eX+9LckAl+gY88juSTwOcn5/P5nl1dVVXXHFFpof9uW0DD5EygGy1Wtlavn31dr3kj/+l/uGt42d8+rrH6dJ779V3/fmf644HPUj7X/pu3bx5s37rE7+lv/jCX+iD93xQH7zng1N9m9e8rtSVesHoBbmgioO4DK6QP+YD587Ez7e3t7PAp3VVnGfqswuRLpbb3Ye0V6mdNAFJdPpSpS7SpASAES7XZvseLtpYayrlN/860xD3NNiZixHTbrerjx/7uNpqa05zulyXZ+1vr1wmSbpyXbp38+4cmPMzraTtqDvy470gjmi22+1cFP0O3aFtbevajZq+9nPjQw0+cv31hTz/8+c9T3/6Az+kj18qffzEx7U52syV20Sam5vTyspKco4+cOcH9PDdt6C/70pps7Sl9e11SeO5dXkgx0qH1orm9u7tuVK7GTjulUpFH33CE/SxJ32rvnSwrPXeuu7cuHNiJJeWCveCeC5jxJllRnyhbqvVyskHD+uQpFt0i9a0puX5ZZ24Ydzh/tyc3vUt3yJpDJLuaN6R41OqttrPdl25wZ5/L6KZmZnsHRmSdObMmZxDzrGzHI2lFV47DCqwhM7G3M5LfDeFnQbPn9s9oRPZHJ48eklWyucfG+eDGh8vvKY1DTTISpzieiK5hINZBO+N45z62kqlkh0RPxpNauz93Fd/nfQj3zOnjUsfnOOnNNnMfXZxHFVfaG7kskE07gRm1hnMJsVyO8th0WmGZypndHz7uObKc/q2q75ND9n/EEkTQElitse84zOjzM3Pz+tD935Ib7/t7Xrlh1+pU+1TuTGYjwZfDmZw/TADXhRFtyybYhbJczCoSF//Mw/WyV2Q/823jcFTR5PsCXW+x2xi5oh/pyLfsSzSOiiWd3K/lu/z53Eccd7jISczMzP6/U/+vu7cHB8SsrWzpZd85CV65SdeKQVT5yxMLLFiIMDZJ598yoxg1MsOUjHzxyCJgwwb4fhvr7/Z2Vk97WlP0+v+6JRa/0k6cs8d42s2N7NsEas1CKbjXNPW+W87onNzczlHkfrPzvdd3bsyG3P60KHsHYX+ec5H7tTd/1X6mXeOAwkMqvJU21QmyYEqfx7Lraz7LCfrO+t649dIf/M1l6q5+0LXFM3MzKhfHx+mcKAtdYcTXcxsuHnoufr371jTm/9EeuQ9rT2rC2y3/PoUg6SHnpbWh9Mn3PkAqLgGmPGUJuWtpVIp05l7jTFVWSJNAmnMmK6treV0uNcT++HTfN0Xl7E1m039xA0/oV95R1eXb0mn9+/Xe7/pm9Su1bTQ6egRn/ucPvCSl+ihSw/V7z/19/XJF3xSb3juG/SLT/5F/eDX/KCuv+x6Ha2PS/h76ulm3awb77oxZ79SepNjY6DVv6eqAQzgXfHhgAUDCHzmhUgXQdJ9SOcqtZOUc7LpXHuB+SdmkqT8UcEGOqyr5v/SxBiSYoTbyiEa6G63q//0P/5/euW7pB/40mHNjCZO6fN/4Re0U5bmB9If/4//lt0j5ReKI2xWJlZQ9Xo9ez9Aq9XKGc8v6AuSpJf//aIqw6HueOAD9cLXvKaY6aWSGmroMo2B20fOfCRnJCLNz89reXk5qQz/9s6/zd6CftehsVL4+PGPZw6/ASsNl51wj6/f7+uO7h26DiCJgMyyMaMZHdbYofrE8U9kjr+BRlTmMcpsmWHp5dzcXGbk7Tgwk+RyC9OH9WFJ0tOPP1j/7MMfU2m3LUbymv2mzvYne0hSx8p6fAYOBnuxdCFSpVLR/v37s7+3tramIq/S9CZztksHy8re8sw58npyLbcDDo4gutwlOyVLJ3NA12VfBvguB3vKx2/TZ39b+uV3D7Su9WyPT+okJ5MdHO4BpDGjwbZcOfvke2x8nZU5qIP6+uu/PldqJ00M/GZjbOAbzWYuU83DR6wDmG1h5szzz2CIMxg0uqbP6XOSpG+85Bu1v7FfDz04PvhldbiabZ43xXLDLFMGUEb+LSws6LNnPjuWj9FAb7nlLTmHSZroMW/C97y43wxycG3RuXTGnlR0/PcBHdDND3uYNpaWtDQczw9L7pjZZ8AsZorovBjgx6yP++w2rINoe5xFYyDF/U+BJAdYuC/HIOls56x+/cZflyT9zjN/Ry994kslSW+6/U36N5/9N1rXetbW6upqDhx5DMwk1ev1ccBtFyRZ/3H/j4nHJ8f5KpfLeEfSZg4kETDPzMxofjSj6kA6tLqa44OfS1BnHZPKOtAmMxM7NzeX66t5R31xz849GUhaPXQoK7u3fVkYzevyLenSjb52tJPbk0R5pb2hbmTAJ2aSDPjt7K911/Svv0363ed9o9q781FEX/PPnjJuQ1KpvZbx1PPL/T/9fl87gx09+ba+vvvz0r5uOQdsI3mN+WTUQ49/vHozFVUHUuPsdEDFmaS4xcA63MQTGmu1Wm6vYyTrVmcRWYXhTNTS0uRVJGfPns1lHbnfkPttDZh84E+/39drP/Va6d3v0r/6xPhlwn/5nOfo5f/xP+qFv/d7+rtv/EZJ0jPf9jb9z9/4DQ0GAx3SIT3nyufopY99qV79tFfrr7/7r/WJH/yE3vK1b9ED9UBJ0vu/8P7MvlnXxa0MDHgxE0R9Y91mWXBpnWWGZbqUSf99IdJFkHQfEbNDRRFkOicWZDsgfJ9FLHGJp1F5IVI52fmlEiAgM8UNf6VSKXuBGSOw7XZbB+78nH72g9Kv/uWZrNytXC5LMzM6tjxuY+Hs8Skg9/9n77zjo6jW///evumdUEJL6B3pIiICdsHee+9XsTcigg1RQQWBa1cEKwgqKiAISO+QUFNI7z3Zvvv7Y3ImZzehN+/3N5/7yutKsjtzZubMOU/5PJ8HGiJgckRSLCRChUecR/B2ffjYxz6CnXDNZsUwP1wWCVDHNay8NWdnwarCVX7FkjJEpC0iIqJJR3bVwVXsi4GKEAu3b9fx7XewLX8rbreb4OBgP6NWdpDkzdDj8ZBhz2BXM0hJbElO69ZAw5wwm83g9RJdWsoNe4LApzhi4plHRkb6Pf/A8cuQo8yy4yA2I1kxTWQkhIOcRx4HOYjBq+O1hUVc9McfXPDnnyQnJ5PfvDlrzj6bGUMVRzHfle8X1Q8UbhBGADTUagnK2aE2JUDloQvIDXEDEVj0LUeqxb/FMxHPQhgXcjZBUCpsNptq0IjeTvKCX+groG++cr6CFi38jDjZcDJ6fXQrgT4F/jQymV4SCLmvBzTQW+X7KRtOoGQFRTZWOGsAvqoc2pVDM28sLVu2bHRO4ejUhCq0xoiaOnX8ssMrxivPPfH8Aul2coZGr29aoAJgl0eR8b+0/aUYjUa6xndFr9Nj89lUKo6APFfFuIURGOhECuM3tSRV/d2P+35UsxDCqRHPXqxB4n7L9ZEiyiw7VjabTXVodDpdI8czkMIkKEHRRLNy2DCmPvEEfw5oD/iLNwRGbmVHMzBzKn4fSIuBBhVCcd9EzWLg+yZoWuI4cn1eUxkxkYE1mUxqgE0Y1u9teo8KRwXdYrtxX7/7ePfCd/nm8m8IN4Wzp2YPs5ilBrjy8vL8Mr3i3ZSvUVCXxdohaKLytQsIhdTATLE4vhA1qfRV0Fr0C4uIUClcoMynkjglKNW6uEo9rhyIEVkAOUAhUyFlloSYB+L9kSnkcmBKGO5i7chx5aiBuOJmzVQHXm2NUd9QNqG+oawcmBPvgrzfiHVMjEkIu4jrk5+x1WpVM81er5dalIxQCCE88MADHA4RMTGUBdWrWdaVq+++WKNkZ18cu0V9WyxXaMxhnSR5vQkNDcWn11McqwTPEoor8eI/T8UaLmec5TVTQNhG4jsi+9QUZJaFeP9ra2uptFWSWpzKyvyVrHWuZSlL+Y3fyCjLUOciNGYJCVq3oPUL4YXdxbt59ben+W89zW7joEHcOH26Ou6Vw4dTFBdHaG0tFy9erB6/trZW/bHZbHw8fTotX32Da/Yq+8Ca9DWNgiGBdDsxLw7l1MhrjUzndLlcfuwLEdgQ67N8vv9FaE7SaUSg8ROIwEwENPCWxWIjFhJ5ExPHlZ0kOXIPqJNYXoQEl1+OtjdluAYuID6fj4q6CnpmKKt5emJ7kDYlgGU943h/IGQH2xpt8GLcYnMTkfDAxVAY8oJKVUghlVRy53Y9oXYnZVFR3PD110e87x337WPutHV88jP8k7far4hahsjUCBU5GRX2CnYW7+T2q+DNxx9g2P4arkuF1Uu+99sIRXRIzlLIxypzlFHmLmPGQJhz2+3s7aJEz2NjY4mOjlYyRT4fD02fznvzMmhdqThJ4r4EBQUdsp5Hzp4Afpt3IP0skCoijEex6K5jHQDJm1vQMTMbp8nEhoEDAXjynXdYcsEFLO+tZOeEkwSNG5+KYwt6gTA+RaO/puoLBHQ6nV9NkpgHgRtpYCZB1BDJ0XNhYInskDiOaHopuNWBAQxRQyQyM2J8xsp8ou3g1iv0D3mDEUaa1WptUgYcmu4JEvgsVEcnwEkSz1BEhGVlIaPRqM4RgAvX7ydjGoz/vYzmkoqigMjqbevRmXsuhx+6NYhYyAagXDMo7r/IEol7JhxE2fgQ90H8XaCEEvK9+Rh0Bi7pcAlGo5FgczCtQ1urf5chZz2Foyui0oGbr3ASU8sanKRNBZvYX7a/kRqfGJdsVMtZykAnT44+y0ErGYHBilJKmb0Q3v58M62zs0GnUzPbciZJDoTJATN5HsvHFut54PUH1haIaxHvoHwtcoRfrp8IdJJEFF2mOYIyV0s9pczePhuAN85/A4NeOc6NZ93In1f/SffI7tiwMZe5/MmfFJcVq3taYJZOvgaXy6W+B2LNC3Sm5GciG+by81PnsqOC0PokX1X9uhIVFaW+b1VxCmU8qdiJk4ZGu7LDLOZP4H2Q75W4d8IAld91uX4ucA12u93ke/L9Mkni/RKOelW9Qy4aygY+ezEf5bpAcV4xlsBMuoDValWzIT6fD4+rhmY1EObxl3huCpGRkZQF1wcZaiv9sraBTpLb7abWU6HWO9WGhqnBlqaCf2KOyFT40rjm1Bkhus7XSAZctG6QAyJi7jdFtxPnEKp+TUFkmjweD78f+J1zvz6XNtPbEDk5ku4zunPVj1cxI3sGq1nNBjbwa9WveL0NQjBi/sjZJ8FaCQkJwev1UmOr4aElDzHuHw9tK6EsKoplI0f63fuXJk7k5yuuwKvT0XPXLpY88ggREREEBwerP9+99RZ3fvopAzdsIHlBGmF2xXYSAQcx7wKVaMWeIVMkZchOksw6sdls6r2T9yoxx2R75H8RmpN0miBe8kMpWgnImRbxPZlCIG8oYhIKA1CmDckSyE1FEeVor3yepow3EZ2WI3TbyrcxMl35e259fyQBg8HA9+f34j+XwNZmjiapYMIBEucWkQkxZrEYut1uysuVrNFe9oIPHl+vLHTrBw2Cw2QiBA62aYPbYKBLKbTLrSPNk9bkxhwcHExcXFyTmb5/spSiyGiiCTJFURStbLKRxXl+KWbhBAsqgzBwxDHT65SbFkMMFixqpstsNhMdHY3BYODlV1+lNEaJGHYvhu2F2/2OHdIE9SFwbsj3WnaS5Mi/rCYljBCj0UhmRSa72EWbCnh6ibJj/zVyJI9Nm+Z37DgUByDHnuNH1Wlq45aNPGGQyQID8nhlyPUego7TlJMkOxFy0bqcARGflXuFGAwG1XARxohMl5IjsOKYLlykBZVx3TXwy+jhDBs1St0QxfjEeYWT1K4Sah2F6nFFZPlQkAuoZdqbgMj6iecpPive0Zj6+dOmPipeFtusUT2SQFhYGPltO/BJP1jbvE69n+K+iPdVprlBw0YvO02iPkQep5j78nwTVLvBzQYTFxqnRnmTIhRVu0AnSWSSZKNGzl4G3hu3z82BCqWXWqcopaH0/H3zGxlK8jWKNSiwObO8ZssBAGH4BK7pfp/BSznlnHsQumUWoq+fTwneFsTU+meSxJoh0+RkurRYH2VjI/Df0JCVlgNggdlkcX2y0SOen5hv8h4kBxvkz5lMJqbumIrT6+Tc1udyWefL/MbSt31fvr3wW0aHKXWMa1jDxwc+9rumpmodhOqbWO8CZcYD62PFHJDpTKDM0draWrxeLyGVSkavKsjEoBEj/NYhs9lMZZziuHYrVhxbsd6INVTMdzGnZWdbdm6hYb6KvU0gMOMp/qbX63G4HLhqCmheX9JTHBurZpFE4E40lG1ZDTXeSj+nUc1e1z8neV4Ih0Ds5dA44xkSEqIGpWxOG+ekOymcAk99Mv+Q7BeB6OhonruqJX3uhx2tGq5JfkdF0Nbr9UJ1MXrArYPu556rvv9NOSnCdhI1PGazmd8uu4x2L8Tw6VmNxRtk6rHsrAU6YfIc1+sVkaDD1YmazWYqait4+M+H2Va0jXK7YpdEWCLoGdeTES1HqM3r093p6p4ggjmB77TZbCY0NJSoqCh0Oh0/l/3MlsItvHeOhRVDzmLRmDE8/uKLje7JvbNns+bsswG49Jdf+GDCBCIiIoiIiGDxAw9w/8yZtMrLoy4oiC+uHEW1VXGSxHp1qICm2BcDnRp5zZVLRsS6JwKJ4j47HA4/R0t8P5C19L8CzUn6FyGQ6ypHxmQDMzCCJSKC8osoFyH7fL5GBql8Lplu0VRPE51Opy5OAnuyVql1NZntE/0+r9friUJRuymnvNEmLl5W2TiVedRiHEFBQbhcLgoLFeNyL3tBB1NuGMq6wYPZ1rfvUd3X5994g7Qkxfi6NhW21W5r0kA1m82HpNqtPLgSqwva+JRId2mc0sMiobiaSlul32IjFh+ZIy5S6ml1acTWQidb3GHHLGcgcqtzKakrUe9RTExMo8ieOJe8Mcn0BjniLYwDWexAbqj3yopX8Pq8fL3QitXpIqt1ay769Ve/81ltNs7NhL55ipMk4HK5mqQxyo6L2MCbuteBi6j8dxH1CnQQA50IkTWVN0W5dkaOpIqaFMGrlo0ruXhc3B+fz0cxxVRb4JceQWwbMly9NpFxFb22vF4vAy66iIoQxWiILGloHnqkyKzcDDLw+uRghnxuoXwosqFevCQWK0ZZTVybw9L7QlGk1T14qPPWqbUOMkU40MEQmWc5ICMMRlkiWqZ+CQgn6dL2l6obrF6vp2NUR6CxkyQ7D+IZyjS/wOvJqM7A5XURZg7j8QGPA/Dj/h8b0RyFMyivg4FZDjEPZKMKGjJJgapxspNdRRUGt4cO9XZccVwcnfbs4YPJ3/LlfIUyJZTKxLMVFCuZjhxIwwb/puAyxDwQP/L7EmgEytkwcW5orMIm1gzZAdPpdOSTz/y0+QC8PuL1Ru+m2WwmoUUCz/R6hrGMBWCZbRlpZWnqMUUEOnBcIoghWh8Ip8pZryIpIAre5eyx/B4L59PhrWFDS8hqEeuXARVNusWa27oK6uz56nwWc0Ke6+KeCAdPfgZyFi4wGCIHCsQYxb53sPYgwU4fv3bSc7BNG84691wA1Xg3mUy0HjAAtw5MXtDXlqhsDHluiqBc4LwQIhCyWICM0NBQda7nV+ermR57cGNmRSCCg4NJbxXD9hZQbm5woMWclQUovF4v5hrlhSgNMWCUqPxNZZKgYd6aTCbCwsJwWixE6ZVAkOwkCfqnWKvm7ZrHN6nf+GUBBQLf53BJzKOp6zOZTExZO4WC2gLaR7Zn+wPbKXqiiOyHs/nn1n/45vJvuJzLASiiiJKaEr8seqDTIY4bExNDka+IX6p/AWCk+XL+vnAMV33wwSH3iRXnnUdxbCz7O3XCq9czcfx41p59NjfMm4fV4SA7IYFZ999PkDmW9bNhzjw7+XX5fvdXrH0CgRLsTWV+5KCKrPop77VyHWtgJklzkjQcFk1FhAMhGxhyJFCOJMrRgECKnrxxy1QMsRE0NRZxLIPBcMhMlyyRCZCQochwH2wWwVNvv+33WeEkRdogrrjUj2InrlH8v8fjURc0YewJ40tQ7mpqaqimWqWmhMaexR8XXcTz9VLUR4PU7t0BuDYFNldvbvJlDQ8PV7M5gVh9cDXvL4bVb6Zw1qZNlMcpMufdimFH4Q6/iLZcTAsNPap8Ph9pdWk8uQbWvLWHkUuXHnK8YsPuW6wsklvyFMqd2WwmKiqq0eIpeMCyIRW4gcuR2EAnKTQ0FIvFQkpRCl/t+Iq7tsKwdDsuo5Gfx46FgM2r36ZNvP75Pzy5FrLqspo0FmTIVFNhZDQlkCHTvIQhlkoq3zo/I82Rpo4f/FXA5MVeNqBlw0Fs0DI9Tf5uIOVTLnQXxrLBYKAQxWmPJx4dDbLbRqNRfU9kw78wTtnMmxeXq4IEgQ025esB/FSmxDUKCOdIGE4iUimyIQaDonZX7sylfb2mhj3OP5AR+GyCXHBRuomrUqHKV6XWU4hsqHAu5E1WOEBylluucxAZbfGMRd1YGWUUUIAOHRe1v0i9x2+OH0+naCUSG+gkiUaispMkO00yTCYTe8r3ABBni2RM+0uwGqwcqDjAztKdjRoUy0X54h4Kp0xEsaGx8I44b6CTJNfHlVJKp1JF7t9usTDu7bepiIwk2G7nvINgcvtT7vR6vV+wS6YpiXsq9gUx3sA9RTynwPodsb7KEPNGXKt4F8S9lu+poNiIvcbr8/Jj9Y8AXNvlWgYmKHTcCRMmqD9vPP88nycnk/LLL5xX3pbB1W3x4OGpJU/5zZumnCSj0agG94TRLQIsgcET2QiV90vx3Lw+L6tb1DLoPph129Wqkef1etX3+uxLLqEoTJmrocXZ6r0TY5EDF7JjKeagPD/leyZDXqfkY+l0OvZX7ScrEh68qRWf33WXmtmWG5bqTSZKw5T5GFyp7K2ylLt8XnntE+fW6/VqfVPgWi3qXQGKa4r95L8PFWARsFqthKAct4469Z6J88gUSJfLhbWmAoCyULNfJvxQTpJwcoR4AyisDvB3kkSGw2g0sjRzKTf+eCP3/XYfB6sPNhKlkpk3oOz/Ta3LoKzH2ZXZTNuksCkmj55Mr/hexIXHqUGJoKAgwgijhVOhRG7K39SIDSDba+L5xMbGkupOZXiGjw7e9vSgh3rNh7rvL02axH/vvZdFY8bgNRi447PPGLJWEVpaO2QIn99xB0+89x4YzAzMgyE5sKd8j9+6IQvQQGMF5MB1VX42YlyyEyiuVaaoyoIq4m//a9CcpNMEn8+nFtUdipspJm6gUo+cihabn7x5ylxfYdSYzWZVNlhkguRJLjfPlAuaDxVJMRqNhIWFodfrqaCCQenKsbMTOzX6rF6vp1uenfK34M/PXVQ4KhrVJYnFHRrkzOvq6tQNUESMxL3Yxz7wQStaEUZYo3MeCXs7dcKt19OtBKKyC5qUGY6KimpykbS77Wwq2ET3IghxuHFYrRQJhbdi2FG8A2igNHi9DWIAckTa7XaTYctQM3AVh6A/AWrDvJ5FyqYl6pKMRkUWO/A5iSJj4YAIwyeQCgiojoK4/8IQtFgsvLT8JSwOL28vVc67/PzzefSDDw45vm7FUOwsxu5TjtVUEECmhsnOR1N9J+rq6tQC1PKqch799VHKD3zHrtcPErV+oTpeGYGUK5FJcjqd7N+/n/T0dHVOiXdDHEMYGPIYxf2sqalRo7wisymcpIc2wNgDVgwul18dUEFBAcXFxeo7p9PpVIe6U7GLWmqbpGiJ84lNK5DeKiOQblRaWqr0DykupqSkhH2F+3hu9XPsyv0UPVAarGPc6282Oo6A1WolqK6OxV+6mPcDVLsrVXl+ATmKLiCi9rLzJGe1xbMXfyuuVw3bzW4AeoX3okV4C0wmE39cdBEvvv46oR/8rFwT/tK+NTU1ftkq4Rw25SRYLBZSSlKIq4EtU/KwnTOSC9tdAMD8A/7UIZnGJ8RixDwRxp1wDMR5AntYBQpTyBmzMsrUGpOiZs2oqa3l3mnTqAkJIdgFg3L9KXfCSYLG/fDAX3VPvOeBmVsRaKpx1jDkiyHctug29diBY5Ujw4Fjl41sMR9NJpPaWPkAB0i1pWLWmxk/dDxGo5Hvrr8eg/Q8eu/YwX+mTeM/06bx+LT3WfvOQR5bBwv2LGB55nJ1TQic5263G4vFQlhYmKr8JV/zofYyOeslPlNbW4sdOy6U+RxOOEFBQVRVVVFcXKwyLYKDg9nUsRk/dIUSQ0MfInHvRDbLZrNRV1en7s9iz5b35qYyjODvJInxieOk1ShBoHgUloLIonm9XsrLy9Wgy/5W0axsA7XUqvNfrs0LdJJkRTO3201kZGQjiqNOp/Oj4+ZV5alOku0wjWQFTCYTvfLcPLsKhqTm43K5VMqkq36NlFURjY5aXHqoDG1o/SE7Uk1BUO5CQ0NJTExk4vxsdsyAoPKGDL1woqrcVdy18C7198uzlvvV3UHD/Bb/L47d1HmtViuvrHwFm9vG2Qlnc3XXq9W/C0qoyWRi4Lp15LxeyW3bYH3eelUQSaZEip5I4sfn82Hfu4HlX8CCz8oxuFyMGzfuiGyDF+qDxG6TicL4eOwWC/Ouv54ha9bw8sSJABQ2a4YXaFEDC3+Y3SjjI89HYfvIDCR57RHrkrx+yqp2svCL+I6cjZXv9f8SNCfpNEGmPTTVn0dMRplWIWqNhJEtNhR5AspZC5k2YjQa1c1M8JrFeUTvITlqKIo9D5VW1+l0ato/jTR61ZdXZCV2bPRZvV5PTZTiRDSvhRkfT2kyUhjYw0muDzEajURFRal/28teZv4CX33vIrao6JDNYw+F5958k3SJcrfHu6fRZ+Lj45uM3GzI2YDT7fQrqJVlsHcW7/DbrIThIp6dMFrK68opcDaoouU3UUgvII7fodgJPthWsE29R0ajsdFiXlmpFK/Km59YnEUPBpmeZLFY1Ocvnv3W4q0s2LMAu1nHzNuuZstZZ3HBb78ddnxdSkDvVYzaQ2WS5LkljA2xMQY6pcJIy6nO4ZLvLmHGlhlEOJSF6qqNyo0L3EjlwAI0GIli/tfU1FBSUqIaOTIVVdTQyIWoctReLmwV4iV1tlym/wZTv96Dye0mIiICn89HYWGh+v7a7XaVnlfUohU74w0UBzdkSOTrlrnh4v+FU9ZUZFUYC2az2Y//nV+bzwurX2DovKF8lzKHaYuVebCvY8fD1hRYLBZq69cHkxds5bl+kU9oyMTJ4xHrhliTRIBAPB+xZol3SmRYBNVuZIuRBAUFMfORR7jwjz8AuGStooBWQQVOGjZwEQSQswWHijqbzWZ2l+3m4gMQYfPQIS2NPn8pQZ2F6QuxBPnXiMjXKMYtDDZh3InnIhxCedMPNGbkDG0ppX59bwAcLhcZ7RV1u1Hp/k6SyAqK+SkHwWSIe38ooRSA1TmrSSlN4ecDP1NcV+yXFRMQ5xJ7jDBw5MyMMPiFQ2y323F73CxhCQD39LqHpJgk5tx6K9d99x33zp6NQTRP1etxmkw4TSZc9ff3raU6OpbA4388DnqadJIEmyAkJMQvmBaYDRbPULSSCKQZinksivuDCFKbm4vMT1VVFSEhIQQHB/P1mHO59npY1VJ5huJeCDEQscaL48tOrTxvDlVzKD9H4ciIz2bUZhBuh2a+OHV8ISEhfrVRJpOJ6defx/C74J8E5R4HZpJkuqEYk3j/BXW4KVpkbGys+u+imqKjaiQrP6++WbW8uQxG7SpVn4fImMjvkdfr5ceeZiwvwVvXDVAdpCNR+kRQJjZWoUt2LKijZxE0L2rIOguq8aNLHqWgpkDN9C/PWq5+X34Wcq8gg8HQZN1mcHAweyv38k3KNwC8c8E7jZ6tz+fjs2ee4eLff0ePoma6MX+jH2VarI2yLeT1eqmorKB7mrIGeC1h/OfZZ4FDqyA3hd8vuoiZDzzADfPm+f3+hddfJzdG2WtiCrLV+ywzjwTk+jg5kx2Y7ZXvocwuEg6TXJ8nziM+o2WSNBwWMm2jKbqXWNBFwaq82IvokGyAyBNXGHzCa7dararcqDBUPJ6GZpbgbwwK5bTDLYaCHpVGGkPugbse7E9Gu3aNPqfX63noxReptCpjNVXk+EUk5KyXMNhlJ1L83WKxKMY8Tqpr0rh9G4xIKcIaIDF9tEjt1g2Ay/Y17STFxMQ0uVD/nfk3Laoh0gFenY7SmBhKY2Px6nSYvLB161/qZ+XItFhgxGadUppC8xpoVqccp6g+G9MUSqOj8ej1hDg9tKpqcJLAX6pVoKRE2SjkLJJwSHw+H9XVilxs4KItvmOxWHh5xcsA9KY3rubdWDRmzCGFMR57911cRiNBbmhfDsW+4iadJDFP5Tohub4h0EnS6/WsLVrLuXPOZUP+BixYaBc5HIC25R6Ka4qOasMWmSSBoqIitXhYjEneLES0XJYsle+Vy+Wi1FvKF5VfEF2gUHFKIsMYeOGFagNAn89HaGioSm11u90EBQWx9ayzuPrBRN4ZqjhJOp1OdXIDHTEx9w8XtJCzyx6Ph8K6Ql7f+jpnzzubz1M/x+l1cn1mM7oX66gNDmb1BWMPe7+sVis9zjqL8qB6daqaMnVDl+dIIN0OGmqnZAqkiCCDv0x4YaGiTimcgss7XI7VaGTszz+rx/v90suJNEcC/tkkObAkzgH43UsBk8nE7rLdJEn13NetzSXSEklhXSF7HXvV38uBIuEMCCNBzt43FdABZdMPNGbkxr9llDVIOtc7SV6vl4xEhf44Kl2h2wkapnB8xHUGZpLE98V4Aykz0ECBWZu/Vv3dpoJNqvEuQ84WCSepKYdMyMsbDAaqqqrY6t1KEUWEGkMZN2Ac0159lcsXKbrFGe3b89KkSSQnJ3PZokWYnU7MTicmp5MDSUlY3T4+/1lPasEuvtj5hV+DawEhjxxIIxPzT3b2BDtD3uvEGuDzKZLtVVSxYC6kTHPSYf9+P4qXWLODgoKIQaHGllKKlwbREnH9gSqTMj1S/O5w+2hgdlYONGTaMkmdDvMm/0VcURFhYWF+mSwxzyJQ6Fyilk1kfcU7K2c6xThkBcpAVgkojoD8HhVUF/g5SUfKJAHYQ+rFjOpcarsGwVIR80s8qxpq8OnBZI445NrSFARlLjw8XA06tCmuUWXAQ0JC+DH9RxbuW4hJb+KD0QoLYmX2Srw6b6NziPVf1AE25SRFRETwytpX8OHj+m7XM7j1YL+/u1wuaquqGLtgAQA7O7Rm3IWwuXAzOn1DsNvn86nzOiwsTGVz7K/az4Ac5Z3Pb6cwcw7FIghEcnIyycnJvDRpEo9PndrkZ3KbK/epVUGJum4IezGwhxY0bjkAjZXtZIg1RTj7Ilsm0ys1J0nDUUGOYAdubIGZJEEdMBqNzNo+i/j34tlZuhPwry0RE1I+pnCoRARKbLwisi4WcnkMwkg83IsZFBREjbGGdNJBB4b4Prz42mtNflav15Mbpbw8IeWF6jUKiJoHsXCIDVhEucSiGRYWRgYZ3LvJg9UDOa1acffHHx/TfRfY06ULX1xzMSNuh4O+g9TR0LwwIiJCVQQLxKqsVXSvjwaXRUfz0sSJvDhpEq88cRfhz8O+4BJc3gZFLJHVE86uWFRSylLULFJpTMwh7x3AyxMnsuSCC/jqmkuptMK+sn3UOpXophBvkBd8Eb0ONFjFhu31eqmsrFTnjtvtVouI9Xo9mys2s3vncvrl6zmP8wAOn60zGCipjzx2K1YagELjRVBE44WRIcYmqDuyxLcXL6+seIWLvr6IkroSbtkbyVM1txIePwybEWJs8Obzdzeao4HvkjDM5UXd7XZTWFjoJ4ELqO+EeGdEFExkcqxWKwcrD/L48scZOm8o/9T+ozaRLW7eyi+iHBkZSevWrdUGuA6HQ91AYlHulcgkicyuLPAhR3uBQxpb4ho8Hg/by7YzdN5QPtz4IQ6Pg3PanMNt3EZShwf59O67mX/llTw9efKhn2P9/QkODqasvtYhqKaykTzsoegwIkIs1jWRgRDGpVxwX1RUpFLt2tCGtjFtWTV2LK3y8rBZrbwzbhy5CQmEOcP87hX4CxeI90rMa9lwBXAYHBTZikg+H/57x80AdN2zl3PzFYnnleUrGz5b31BVRPVFsEjOssq93MS7LAd05Mg9+DtJpZRSZYHKkAY5eID0eidpUA6Y7Ha1rkKs/XIgLbDuSg6CiPVfhjB2ZCdpQ8EGv78JiIy30Wj0a3gpH1PUqor9obymnGW+ZQDcmXQnsSGxjP7zTyKqqiiLiuKvkSNpEjodiy6/HIfZzIBcH/3yYMKqCdR56xo5HyKAIsYh3g9xzbJjKjdMlTMS4rM2m41KKulQBu3LPXgkZoZ4jnV1dVitVqKIQu/TEVfloooqdW0wm81+QkdiTGLeyNmkQKdWfm5yM05B7/V6vThw4K4upVU1hNkcVIaHN5qHwokJR1G4q/HV4MbdSFZc0EbF98T55LkbuK5E1PeNEiiuLT5mJ8kVHAlAVG0DjUvMLRGsE9kL0QctlFA10HKkTBI0SE9HRkZSEdcSgC7FPtVhtFltvLj6RQBeHvoyt/a8lZigGGpcNews3+kXJJDnkailbMoGSDelszp3NRaDhTdHNdCWRYDLbrez9rrrSMjNxW6x8MflV2HSmahyVnGg4oDK6BBBa8FuKC0txev1sib3H4YocTdyW7cBji2LdCSUtlCO2amgDpvb5lcrJr/ncu8jWWRBZi5BYydJZJAsFou6VsmZxP91GXDNSTrNCCwCFpDpKoGqQp/t/IxKRyXf7/teNVTkCSi+J6JJwnAprilmvn0+OZ4cv7oUUQwronRiUzqcPLnP5+PL7V8yqXQSduxEEklLWh7y8waDgaIoZVGPLFcMADlzJRYl2ZASm5YogrdYLMTGxpLu3s1DG5Xjrhs8WO3JdKx47s03yewxiBBLM3z4SCNN/VuzZs38GpcKeLwe1ueu96PaCejDE7DqrHjxklqc6rcQyLUTYoNIKUtRDez8Fi2OON71gweT3mMAWELx4fOj3LVo0cJvIRUdvpuiAQhHRJbKlRdIg8HAWxvfZOYvsO6/PkZsTjsqOmOxVJdV6G3sCEODcRNYxCw2zqgoRQWxllrmMIcZqTPw4ePKku58+n0NL0yfQ0RVFXtaKM8mJme/nxPY1DmNRqOfFHWbNm3Q6XTU1tZSV1fnZ2Db7XY10yWyAiLKnFWZxaN/PErfz/ry1a6v8Pg89I/oz7UFCsW0oHlzwsPDsVqtNG/eXKWriL4VFosFh8PBoEGDiCUWvRcq3EUqRUumSgmJWfFsvF5vkxLp4vpMJhM2l42nVj5FnbuO/i37s+TWJYzMGkkiiejQkZuQwC1H0UcMFJpKZajy/ofUVKtOkvyONkWLCnQ6hdiDmIuyDC80UO36Wvry2zvvcN6KFQD8cdFF1NTLGwc6lOKeCONOrHEiIxhIN8t2KhZHFFHktevIgaQkdMDD65X5sKJohVqfIgs0CEMyODjYr6+MeE9kI1KOjIpMgIAw+D14KKecu6+AV55+gLSkJPV7d7/6KqXR0Rh9cO7BBsqdcEaF8xJYXA4NqqdykEyG2WymylHFzpKd6u82FmxUA1IyZKNd/m8RYIOGd1VkfT9J+YQqqogkkrt63MXPjz5Kvy1KzeTCsWN54TDBnyfee48FV17JrPvvJTMhjlJbKdNTp/uJXQgGgVgvxNohK8vJ81DMUzF2cY/lOpwqqhoayYaHq98PCwtTHR2Xy4XV4abiDch9F2odBX7XL9YTsU/Khn2gumxTTpJYb8TYZMXIvRV71T2mMjycfiNG+AWY5IbuPdIKyH4H/vpCUUe02+1+kuNNzVPwn7+BRnigYFFhbSG/doKlPeMprQ/6HAnOkEgAYuq8lJWXqc9CdgaFo/n6L5X88C10yatrJBhwJJjNZpo3b642/+1epGRsPXiYmj2VWlct5yScw2P9HyM4KJgRbUYAsDpvtd8eJO6XuG673a7uRwIePHye+zkAjw54lHZR7QDlWQpVxc9feIERy5cD8OeFF1IbEUVrb0vC7Mp7J4vMCDZPdXW1ei2rl86lZQ14dDry6huTH+29OBqUN28LQN8CSKtOU683MJMkO0myPQr+Qi6BTpJYs4SdIbMjRDZRQHOSNBwRsoRqYMGx8MIFnUKv11NkLyJ2+34+mw8r18xvlCkQE1k2zMVm8s2yKTz4zSr+2TKZLblb1M1W7hgvNlxR4yCOa7fbqauro66ujuzSbK6adxV3/HwHTo+d1BkmlvwYT2itjUNBr9dTHhUJQHR5pR8FTYxBGDvCiXA4HNTV1WGz2dTPRUdH03fnHuJroTQ8mN31lLkTgehlsI996u/atm3bpEG6vWA7Vc4qehbXF59LFDkdOpqj1BVtK9jmJ4wgi28IFaWtJVtV0YbCw9QjBUKcY+q6qRTUKAcICwvzo6qJAlB5cRVzw2g0qg6goN2JcYJiuHZdtp2xe5WryklIOKpxyTLlhR7FSQo02IQgiNznBBrqHGJiYqiggk/4hDTSMOvMfDHmM95bWI3J7Sa/RQsemzqVzASlmLlNTkPjWkGnCVx4hWErUw7j6sdaWlqqFhLL9yAsLIySuhJW5qzko20fcfNPN9Pxg47M2jwLt9fN6MTRLL95OWNKL6JTjuL0FzRvTkxMDK1atWpE+YqPj1eNIL1ez1M/76HmdTg3JV99JmIjkcUPZCUqWUhChsgw/Xf3f9lfsZ/4kHj+vOVPRiWOove27cQWFR3V85MRHh5OVagyR8Jqavyi88JYa2oswggSz8Tj8fhlBWQnqZpqssgCYHj8cHpv347R42F/hw5c8dNPhNTU0GPHDq5MUd4d2UmSI+WykwT4GfQAmfZMoKEAft2QIQAkljgI94VR665V330xf8Q81ev16Ew63tr3Fh+WfojOqFONKdk4CDRi5L+J8VRSiRcvBgyEE864J59UnzXA5v79+fTcluyLaVC4E2MQBrf4CcxgyFTIppykjYUb8fq8hJkVw2VHyQ4cHkcjJ0lW9pODJnI2TBTDGwwGNuZuZG7+XABGG0az+JvvGLNQEVTZMGAAd3z2GUfC9fPmURrfkou4CIDPUz4nszZT/Xt4fRZFpkCKuSdL3wuIgIicEYaG9cHhcOC2lxFe70tXSdlr0fZBfH7k2LHYzcqzDS4+qK4fMs1P1DgKep94HnIW9XB0enEu2VGavW22XyDOarWqdNuQkBBqa2txOBzKczKZSKiGthUK5U4WWRH0UzE35HdWBCID7x8ogSQZxbXFvDkM3r96IEVHuVd5Q5QsTGwduLwNdT7iXCLra/PYGJnu5erdEOkyqTSto8lWQUMDbLEXdy2Bcm8pq1lNSmUKEZYIZl00i5BghfY8sp2S2VyevbxJwSNZoS0wmLeJTWTbsokNiuXFc5UMlRBe8Hq96Lxexv78Mya3mwNJSYxZsID+Gzey880c3lgGG/I3qHMnsMwiLCyM0NBQWuYoa2JO82gee+65Iwo2HCvymzcnO9LIzmbw2S+fqO9F4DyVKX5yJknM7UAaugyr1UpERIT6GaFGKua8vD/8r+Hwuo4aTjqE0ex0OnE6nX51D2JCyQvcmsI1rPlU+a7eV0TNXTV+kTS5AE9u8GcwGLhs9S5u3AV9810MaHM5a+9eS9uItupYZLUSOWrtdDrVRXdp5lIe+uMhCmoLMOqNTF3bnq5F+7FVHWTx2MbqPQJ6vZ7qqDhgPy3KbaoBLzb7QANRznAIGAwG8lx5jN2lfHbTgIG8/OqrJ3T/Af6z2s4HO+HWa/fiifVgwEBiYtMSyX9n/g1AVvNo9nWMIqdVK/Vv8QUFfPJ3FVlm+KfnDnWhF9F0YXwZDAY2F24m15bL/G4G2gb1IrNt2ybPJ8PscNAmK4sHbRE82Qt+2P0Dv+7/lYcHPMyTg58kOjpabbRbVlbWyEmCBmdcGOFer5fa2lpCQ0MVRSQ8rCtYwKrFyudXDR/OQzNmHNV93NepE6VBPt5rtZwidxEenaeRcSCMjKaiYyaTiYy6DD7VfUqVr4oIIrg36F7iXviWtllZOMxmpaGeTkdxQhKQTo+carw+f6coMNggouKCf+9wONT+RXa7naqqKgwGA6n2VA46D5Jflk/+wXwKbYUEYkS7EUw4bwLD2g7j1fHjueOLL4gtLcVtMJDbqhUJCQmHrBuKjo5Wue4mQwhBbmhXbKO0qtSvhkCmgJjNZpWKGtibTP7MgYoDzNihPKf3L36fqKAoPnroIe5buBCfTsesBx7g4Q8/PPwDlBAeHk52aH1NQY0dl8ulZnsDHbjAey3XTgmjVEBuULgHpQ6wFa2oyqpi2ciRFMfFkdGuHeN0OtplZHD1Tz/Rp2U047s3lgEXzpZwcuVNWEZ6TToPbIS7dxeQ2Xcn13z/PbODg8lv2ZKeLOEf/mEnO+lOd3Vswpizhlq5edHNLC1W5PmXli5lJCMbZdHkbD4ojoRwLISTVEYZ+CBaF42+Ph4p1gO3283as89mG8HsZwF2SbzBZDKpVFjZSZLPLSLz4N97R1zP+vz1AIztNJbFaYsptZWyvWg7baz+xrBYG4QIiAiyyY6neHcqHBVc8/01uH1uutCF3rrejPhrEZGVlZRHRrJ01CgGcvRIIomr8tqiLz/Itz2+5SZuAvz79QgDWnaS5Poc8O9BI/4mZ/WdTifBVUpgo8ZqYsjo0Y3mtHBErFYrWXGhxNVUElVcoO7XYq6VlpaqGQRxDGFEys9IqLsF3uvA52QwGPh096f8uPdH3pOcJNHHyWKxUF5ermahDIaGhrIJVVDtrfSjSR4ukwTK2mGz2dQifS9eKqlkp30nf/zzB7uKdrGzcCe7SnYBEEzTkthNwRWsOJsGH2ArUzPeIrMvejrVUEPzeh/cERrVKIB2JOh0ihBV4ujRuGZMJ8Tlo6xyG2uilEDDO+e/Q2JMovpsR7UfBcD24u04O/tnnQUtTGT9XS4XQUFBVFdXY8PGClYAMH7YeCKsEdjtdr9gwttTptC/Z0+iystZdPnlPKFT6kCDnR6GZMO0/I3c2vlW5V57G5oOR0dHYzabWZ++nn45yvHyE9oTF6DAdzLw9Ntvc3boP6xlLQMp8gsuynNWzsLKdphco9TUHgD49enzer3qWigoloGB/aN1iP8N0DJJZwByEaVMQQt0FAwGA9/+/l/1e+sSYHPJZtUYl7micvbCYrFQ46phQIYyUd87N5gaarhy/pVUearUKJU8YUUvBuFs2Vw2nvv7Oa766SoKagvoHNOZZ4uv5r5lGQAsGzVKlZlsCnq9ntKWiXwwEOZ2d+NwO1SFIGigSATypMXYxM9rn4/n3IPKMdM6dT3he5+cnEzvjHL6FMLlqU5yUBqhNjuEiMLqrNUA/DOgF3Nvvpn9nTurf9N5vZy/u4xL9ysLsDDKTSaTGj0REfgf9yv9RFJ6dGfx5WPJO4psTWRFBTfPmcNDv+7il2sXMaDFAGxuG1PWTqHj9I4sdixW66pk5RxxL4URIBZEkdGSqVTbfduY+Fs5MTbIa96M1eecc9T3sqh5c1IGDGNnSyNu3JT7yps0BA7FOV+dtZox88dQ5auiGc24m7tpneNkVH3/qKWjR/P4e+8BUNlaySB2KfYxbvxDfpt/YHRKViOTHRBRlOtyuUi3pTOzbiaLaxazrXab6iAlRSVxVdermHDeBFbduYq/bv+LYW2HMWHCBHwGA/s7dcJmtfLdddfx1JQph93QIiIiCAsLIzIy0q+vVq49Vx1fYB2gXCchjIFAWIOsvLrtVZxeJ5d2vJRru10LbjdjFyzA4PVyoEMHHm5Ctv1wsFgs7OrambvHwJe9/J1QISLR1AYp1g5xH7xer18hflNOUle6ii+zo3dvxr37LoCawWxXUIHV1VA8LyCLSchZlUDHfF/VPkalQ//0CiKqqkCnI7+lQg3uSU8A9rMfGw2OiMFgACM88PcDLMlYoh7ru/zvcLgbZ2DEfQFl7W7qOZVRxst/w9b3yhlc38NEFhYAxWEEyCcfDw2ZfbmnCjSWdZYLqQNrx4xGI+sK1gFwbptzGdxKKTTfXLS50XXIlCPhuMvvDyiZS5PZxG0LbiOrMos4QxxXcAVut5v1gweTlpjIwjFjVEnio0FycjKtsrP57r9ZfLYAHGX71OxebGys2thT3h9E5kVkbwQCa2tlY0+sdxFVCr2pPDxUdQplJyY0NFTNuOfHKfSy5sWKYxUcHIzdblcdJDEeQdWVqe/iGTWlOiivU6LlwtbyrSSvVqjNw4oVmmlxXBzh4eF4PB6VcSHWcqvVSk1YGF7A7AVdXYmfCJJwTMQYAyHuZ5orjbnM5U3eZBrTuPX3W3l26bN8teMrthVuw+d2k1gdTBvPkWnhAuOeeZaK+uXWUFemrhs2m00NnLjdbupqiwirvzU1oaF+Tu3Rwmw207JNGzLjw9jZDOpsuQpNu8OVXN/tej/1w4SIBLrFdFMo61Xb/M4lAgyyoyYyiytZiQ0bnaM6c3ffu1XnWHz+7bffBr2eTQMHMu0//1H6EtGwjvUqhNwiZZ0R5wwLCyM2NlYNhq3MWskP3eDDYRHs69L1sCUPJwKRVS+kUM0YNUWdFuupzM6Q19hD1UpZrVZCQkLUz1ZVVfm9F/Jxmsqy/puhOUlnAIG0GhmB/XUSDip1M+lRej4aCB8v/VjdJMSEE3xo2TCf9M4Tavq+ReItRBDBgbIDjP1uLHavXS1sFwtrcHCwSrNblrmMc+ecy4zNSqT6kQGPsOXeTdyzcB0mt5v09u25rJ5icbhrrGyZxLhLjHzVW5F0hga6jFg0A+uRRI2DeGGzPAeYcB6s7BbPQ9Onn5T7Lyh716Y2UO6aMnZ9Ph//ZP8DKIXmgSiJjcULxNVBbto2HE6HGlUUESqz2YzT42T+fqUrfS96AUcQRahHaUwMXp0Oq8PBnk+Ws/qO1Xx/xff0adaHGmcN3+R8wzSmsQKlxiKQiy+MPxHhkYVDSkpKcOEiKmUpV+8Gt17HwiuuOqZMXXJyMnr0ag1Jqa60yUyS6C8kL8o/7/mZ0V+NptJRSfew7tzJnYR7QxlTT13IaNeOS6U59vQ7U7nqrniin4VMU4HfseRIupCjFpk8URuk0yl9i4QwyMpapXi/rbEtD7d9mN+u/o3yp8s58NgBfrzuR8YPH885bc7h1fHjeeepp9Tjrx46lBkPPcRN33xzVPdIGHyyZLygVskGjQyZntJU367FhYvZXLyZUFMoMy6dgU6nY+lFF9EyPx+b1cqvl112zHV7VquV0tYd+fQsWNfCQa2jtlHvmaaif3LNgYBM0xPXUueqI5NMdF54dGU11vpnJr8Hj7/3HtWhoRi8Xgbk63HTIN0sjifWPLlAXzY+PXhIqzygFkIHUkfb2SI4uzgaDx61Pkqn06E363lh5wusyF5BsCmYF9u8SKQ+kmJnMXP3zD3ktUODpH4gSimlezG0qnSjk+qIQHnG48aNo6U9hKv3GOmT66aYYlXqXK5HEmqH4lzCqRHXHUhvtHvsbC/eDsB57c/j7ISzAcVJOlR2Q1BUhUEeKH0/fft0Fh9YjNVo5fag27GiWMMVUVF8feut3P7FF42u/0i4Z/Zsclq3JtQFHy+EP3y/48ZNVFSUWpMq43CKj/JnZCfU6/XidDmJqlKEbarDwxvRy0F5lhEREVitVjWg0ba4Vs1Il5WVqfVnMTExKhtC7F0iUCkcOWgQAxCQ1ymj0UiJq4RHVz6Kx+fh6g5XK+0eUCjdMitABN7EdXXu0YOyUOUcQVVl6hjF9QcqMAq4vW6+T/mekXNHMj5zPHvZixMnevT0iOvB1Z2v5qWzX2Lu2Lm8Un4Lae/UMeHtmTz33HNH9TyDg4O57aZoej8AWVFGVQxEzDFR12WsUVQra006zho+/KhFG2TodDpatWrFhPsuo9dDsLWlImjx3uj3Gsmvy5S7TeWb/M4l218ioNO6dWvKKGM9SjZ24rCJeN0Nzc2DgoKwmEyYpO++NGmS+t/j3n2XyvBwjD7onwf76hQbQ8wfMTan08kXf3/Bmjbw08izyEhKOmUZluY0Bx/YbPl+jCEZIrgg15QKHCmTBPV1rbpKfvT9yL7KfaqTJNgsTTlg/wvQnKTTBLfXzZ9pf/Lc0uf8CmgDFYXktH2Bo4DB6Urkam9iawAyyVSNXXkCyo1kLRYLsRk70QMH4qzowlpyr/06pv5hJC19M1d+eyU2p01dWIUs5fa87Vz5w5Vc+dOV7C3bS/PQ5vx+8+98cMkHrLjqetodPIjTZFKkoY/iZdahIwqlEHLGvBl+tVPCiJXpFIFFlaVVpaRaspl8Dnx73dXHLdgQiD1duuDR6ehbAOWlG6kyVjX5uX0l+yisKyTKpqNjbSTgb9S9+NprVNQXenYodrG/dL/a1E8sBCaTieXZyymzl9G/KIihuRaMTfTJagovTZxIWX3RbFxxMWazmSt7XMmqW1fxzZhv6BbTDQcOVrCCpSxVvyeMMbEg6fV6VZY6JCQEr9dLSUkJe+r+4e3flI175bChPPDRR8d2I4FmBQXcs8VAtyIopriRkyRUmWTj7JMtn3DVd1fh8DgY03kMP4z5gSCC6LNtmzrHFo4ZAwHRxaI2HbCZIYccvwVcXuwtFoufwWC1WtV+K0IV0K1zs6FOUfu6POhybux4IyM6jCCyXp1J4N0nn+T2L77glq++wijOodfz5DvvHPX9EUXGgj+fWA77XNsb0exkyM5seD21RqBGV8PM9JkATDp/Em0i2jD94YdVAYTfL7qIJ6dMOerxCVitVoIIUmlhZY4yv81SLuqVEViv5HK51JpCnU6nNqBenrkcDx6e3mBlzF/rufvjj9EF8tN1DfVw52crEVWZcidnSuVsukwNqzJWEV/uUgqh9Xry6gVSkpOT6bR3L0+8+y6zFirn3YkibOD0OZlWPI11xesIMYWw+ObFdDV35cKQCwGYsm4KTo+/QQENRqjX6/VTaRQIlP+WjTPxjIev+ocf5rl5cKMi3lBUVKRGekUxvryeyPdBIFBkYWvJVtw+N61CW5EUncTQNkMBxUlqZDjXGy9yLY1er/dzvPa69vLqaiV4MuOSGTTzNiOqVGr2e7zrsl7Pz2PH4jQaGZUBV20uYwMbiImJabLPkOwABM5F+Z2XM0lut5tyZznVZh8bWkJpfEt1vwnMqpnNZsLDw6mLawdAp2I3OUU51NbWqmtJmzZt/Pr3yfcPUOuUZDEAAdlJ8hl8vLzzZUrtpfRp3ocu+zqxu1s30hITKY6NJSgoCKNR6RUonDeRATMYDJRGKMGTsKoKvwCpvI+Ke1DrrOXDDR/S6YNOXPfDdWzM34hFb6Ef/bif+3mRF1lz6xo+u/QzXjjnBa7vfT0t6+qDG/UiSkf3OPWktIlkR3OoNNr9sr1CjMnpdGKpUTJ0paFGlWVwPEIF0dHRxOkaGCBXciXx4Y17HRoMBs5vez4A60vW+82rQFVFi8VCy5YtWcYyvHhJIomRbUeqz1Vcx2+XX86DM2bQLj29ybGJdWxwDuypVTLooixC2EAOh4ODKDSZtrQ95t6Px4L+GTWUvgWLvnJS6i5VxyMg5qtMHZXLI47GSbJYLPzu+Z0d7ODLwi9Vh1CmGf4vOklaTdJpgs1l49KvL8WNmxt63ECf5n1UT1vULchGicFgYEPJBsbWv4NFiT3pVnSQGFs+LoO/IpHIXIgiXLPZTOd0JZS6J1F5WR/4bhlJ6W4ibXruCFrGbQtuo7+rPz6fD6fJyVPLn+KTbZ/g8Xkw6U08OvBRXjr3JaKCopj2+OM8uEShoCwdPZr/HEKPPxDPPPMMiyZ8RUJ5MZ6IQj8nSVyzrFgkb+AOh4MVGStw4yaccOKIO8yZjg3PTJ7MgR9/oEN6BpftdvJT4kKSHcmEW/wN0lUHVwHwyI4IXlg8lR09e0LAQlYcF0d0eTndi2Bb4Ta6N+/uJ8lqtVpVqt3La8MYs/UTVg4bdtRjLY6LI7a0lGbFSlpQODpXdLmCS5Iu4cb3bmQxi9nFLjxej7qYBypjiY3K4XAQHh5OVkEWi63reHU4PLwzin+Gncf5x3Evz1m9mp67cnGOgqXNShpR3/R6vUpl8fl8vLn6TV746wUA7upzF7Mun4XHpXwntXt3WublURwXx3+mTWt0rgSUuSw7SbKSDqD2OhL/LUfuREZrY91GbD4bkUQSXR3N0qVL+fu33+iye3fDcRwO7l+xgpC6OuwWC/FFRdzz3wbq67EgIiKCi2+/ndrpHxJis2MpOUi+LZ+OoY0bMUNDBsbhcKhy4gJ/Gv6k1l1Lv/h+PDLwEYVm9/PPGD0e9nXsyJU//XRcYzQajRjdHi47aCWoro6y6DJaO1ur2chDOUmg3OfA4mwBQeNdvH8xiWUwYanibKwfPJjxTWQtcxMS6LpnD0NylHOVUEJHlPskFxID6rOVjc8SQwmDlaQ1hfHxfjL7eS1bYvB46JFdSf9c2NQqk1JK+ZVfSa9NVx2kYW2H8eGURxnmDOGvxDiyqrL4fNvn3NfvPr+xypmkpmgylZ4SOtX7EoFOksg4pLdvz9B//mFUOkz35VBYWEjbtm3VKLxcU6jSAiUYDIZGmdT1BUoEfGjCUGY98gi1FgPmaDMl9hKyarL8vm+z2YiIiPAzjGRRoSqqeD/lfbw+L3f1uYs7+97Jpx/cxR2ff86Wfv349ZJLSJ4wodG1Hy0ee/99/ti3jwv/+IMpf8JZHZbjsvq3tBAQe1tTWU0xXpmVAMp8LHOX8V0P+K1HKE9xIWPrs7NNGXyhoaFUxikUyMQKKLZnYjabiYmJ8XsXLRYLdXV1anZAVm4TlFPxd6fTidlsVht+A/xk/4mUuhSirdH8dN1PfPn+l/xxkSJkcckll2C1WgkPD1dpkDLV0Gg0UhEeBrmVRFRVU1tbq1Jc5YCFwWDgww0fMn75eMrtSu1qTFAMjwx8hDEtxrB6+ucE22wUtrOo1yTe4+B6x9sWFET0MTgwooapjjp1zQ+Uhg6qUe5DeahFDWIdj5NkMBiIJJLLfZcxbE8ZSc4qfrvppkafK4qP5+rXX8VqsFJoK6TEUqLKqMt7ByiOsivMRQopAIxmNN8//zxx9fsvgMHj4eIlSzC7XMQVFzeZRc1NSKB7aipDsuH1yhSGWof6BSJcLhf7SvfRM6uGOJueDq2PTkHweFEXHkW0HXoWwV916QQR5hdoEc+9qUyScJxk+n4grR6UZuYprp2cnwlrWqdSbCvGpDep64non6c5SRqaxLtvvsu5Fe3onXqAt0rvYe77mzCbzWohoKhjkSNCS37/iheLwQtE2yBlBmyPh3W37qC5rrk6yeUia7PZTJ2vjiEZysZZlNiT5ORkPsnKIjE9ndu3efm+u56f+IkcfQ4Rvgj+yfiHOq+yKI7pOIYpF06hY0yDARdZXo7baCSvZUsuqW8YeDQwGAzM+raYfpkw4apM1WiXpajFRiVH39xupc/C7B+mcOM+KGnfFl3YyU1D7+7WnQ7pGVyfomfyOQe48ccbWXjDQgz6BiNkVZbiJPUtViL+lfVcZRklcXF03rePbsWwo3gHN3huUJUDdToddp+dJVmKg3lWrnLNBUch/y1QHBdH1z17/BZpkfKf9fzzPLTPy1+DLNRSy8b8jZwVd5YaaZejmwLC2P0+9Xvq9Ha+GRRN9ICHmDDh0PVlRxofKLU2cylu9HfRb8hgMPDaqtd4ebnSsPa5oc/x+sjXlYyAsZ5+YLHw22WXHTKi1rEuhql/Q+eSImqeqMaiU6LNgfLBwqiQZYTl8fyQ9gPx1TDC0xV9ZH23cJuNq+bPb3TO/ObN+f7aa3ns/feP4+5IY+/Uify4ZoRkZXFWPsxNncv44eMP+XmTyYTD4fBTzdvDHna4d2DUGZl9+WwmTZxE5927uaG+P8cvl13GuOOM6huNRsxOJz9/pawDt3ZNp3tkd3Utakr+Wx5roNoYoDpXOp2O3w78xmt/gdXtbUSllJFdH4Htm6M4WnImSa6hlKkrQk4XoIgiLq53knISEvyaFDw5ZQrblyyh944dvLgumCuvruNjPsaGjSBDEIuuX8SwNufw+8UX8+CffwKw/rFhfBX5N6+vep07+tyB2dBwnXI9SiAt0oOHmLIKzF6wm03cPWFCIwfHbDaT1aYNLoOeNlVerKXZVIZXqspuwkmSlUtFlkREZQ0Gg18mNSQkhA1FSpY0Yk0J987+kdqQEH56szdrizayuWiz3xjkXnpi7xGZJA8evud7yhxl9I7vzYeXfMi8G2/kpvnz0ft8GDyeE3KQBC789Vey2rejTXYOL65wMWHwBP57SeOAhKwwF2hUy06SLFLj9Xop9yoOgmjCKqtJNnWORydM4LfF/2VnRAV73Tto3bp1o+cbFBREZWWlSqsWhqNYa2UxAIfDgdHY0LdwM5tZXbcavU7PnKvm8NNr07EYjTjqHe3mzZsTHBzspzApX6Nerye/eTwra3PIC3LQsd4xE++qmGd7Svfw6OJHAaXW8skhT3J7n9sJNgUz4ZVXuPeHH2iZn8+GgQOZZrfzklRjLJyko+2RJDAsS89lB6Embrf6rspBE6fTicFZh1MPlaFBhDbxLI8FIdXVzPxmMy3z85v8e01ICDt79WLGtOkMbjOYFdkrSCONvvQFGoueAMzcoWTqO9KR5jSnx64/GbpmTaPPZbZtyyW//NLkebOlTFJK+S488R7woTJN3G43a3LW8J/1cH2Kl2XnbzuOqz96PDp1KrWzphPi9LJvxSJ6dbzRb3EUyXoAAFQ3SURBVG7JNoOcUQb82E1ClTUwgAEwY+MMHlvn490/4b3B8POIn7m+zfWq+qSgwms1SRqaRHJyMm/9Vsu7f0KvnSlq1EdsdiITJG+G+0zZ3HM5LD6nJ3u6dAGgdyEs/O1jdcIJiI1Ur9fz7mev4DSASw+F7ZTv3f3JJ6wfrBTwfr7IQrgdNng3sIQl1Hnr6NOsD4uvW8yCGxf4OUgTJkwgMzGR6Q8/zPwrr2xEgToc9Ho9JVFKxCaqXqHH7Xb7RW9kvrW4F+IlbJm5l29+gs8/yzjpqeg9Xbvi1ek4K99LxzIDv+3/jWeXPqv+Xa5H6lKsOBvFTYg7FElOws7ineqzFBvEiqIVODwOBpZGk1BUhlenOyplOwFxzthifwdk7o03cv+sWVy2+A/u360UZb7y7SuAf4S7KZl5h8OhRsp60/u4HSTwd5JKKMFH455FZrOZElsJr61SovpTRk/hjVFvoNMpPW4mSXzuw8FiiuLBjXBRGrwx/n71euSNLiQkRKVyCudMxp7iPazKWsXDG2Hu1LWMrjeG3QYDaYmJfj+rhg3jk7vvPmEHCRTDbn/Hjmzo3IL0KPh82+eNVPpkiMix2uMKO7/yKwAP9XmIRR8rwYq9XbqwpW9fFlx5pSqAcLzoN3o0zvrX21RT5tec+nDNDeUItNykWFzD/vL9FBZl1kvMw9JRow65juS3bIlXp6NZtZOWVY3pdrIyk9jY5edfQIGaScpp3brR8dfVr4GXpdhoWQU2bFiw8PHwj1n/8Z+kdu/ORb//jsHrpTYkhD7e7jQPbc7ByoN8uf3LRscT71qgBHwFFXQtVt6Fktg4dPrGDTx1Oh1Pvvwyma0VV65Pegll1WVq3Y2cCQ40XmQFVHk91Zl0bC9R6pFiTW0xejxEVFXRf51Sk7O1ZGujRqwieiwyVeK9XMpSsskm3BzOeXlD2TZ8JDfMm4fV4SA7IYE/LrywyWd4zDAYWDZqNABX7ob5u75lbd5aP8lqaBDuCAoKamS4y0qRYl6Ia6r0VYKvoQmrWJMOhaCgIL6/5gqeGw3/BO+m0l7ZKPotahvlPlvCSRLPShYDsNvtlJSUkEMOv/EbAOOHjqdw0lzunzlTkVGv389jYmLUrJF8/SJLZDQaWT38PIbfBZ/3tGN32f0EPoQj/dk2RY794g4Xs/eRvTw44EHefv1tJkyYADqd8h4CAzds4M5PP2Xa44+r1yc7SceCAWXRvLEM7l+WTXlduR/9UK9X+n9909eC5WX44KqBTa7Rx4Kn3n6btKSkRmu3+Fk+YgR/XnAB6HQq5W6/d7/6/cBG1IU1hfzy98fcsh1G2foDUBYT0+i4qV27suAw9lB+ixbs7diRWQMMuJw28j356n4snIa1+WsPu1adVOj1ZMTX96EryFXXUQEReJB7dMo174JWDY2ztgaDAZfPxec7PuddZTvliXUwf/98v2CFcOJPVd3VqYLmJJ1GZHbrB8BlqXY25W3yK2z2+Xx+DTBzHDnkW+v4op+RdaPG8vTbb6uTvG1Gmh/vWsjuioU51ZpDj4fh0qfO4nlJcWjZ+edTFhVFbJWNb/9UXsowwni176usuHkFozqO8pvAE6QoYV1oqKrecrTQ6/VURilp5GblteoGIivbiRSueAFFRiyjPIMB6UqE+GBi07SkE8HTkyezt3NndvTsyUVeZbN4Z+07fLpV0VvPrcwlrSINnQ/aFCnjkBvJChTHxeE0GvDoYWfJTpVrLAyOxbmKtvZ9qUrtUkb79jwzefJRj1Ocs1lREfh8TBw/nn+GDuXGefMIstvJadUKV4se4INMZ6q6YctF7nI/ldraWnLLcnjt+wM8uAF6O0/s3spOkt1rU9X2BIKCgjCZTLy/4X3sbjsDWw1k3JBx+HxKryybzUaHffu46euv6Zqaelhn+KVJk9jTQom2RmcrFrdOp/OryRAKfjqdTu3tIuByuZi1YRYAN6Yq711B8+YkJyfz9Ntvk5SW5vczbOVKv4LcE8U/w4bx8413sq69hYyKDFYeXHnYz5vNZtX4XsYyqqmmlbkFo2buUYUP0OlYNHYsN8yde8LjCwkNVQvCzTVlfpvh4YxKk8nkV18lZ5JMJhN/pP/BRQcgxAXlkZHcO3v2IY/1wmuvMeeWW3h63E3khfs7SWJDDox0ypmULPtBioOhzmJust/X/bNmkdm2LUavj8c3GDBj5m7z3VR//Tf3zZpFt9278ej1LL74Yt4bN47q6GaMGzgOgNdWvYbL07gPGNCovqyMMlU4pyQu7pDRcpPJRFb9+nZ+huLkiWyvMPJlRylQlcpgMPgZernk4vQ6iQuKwxzWhi1nnQXA5anKZ7aUbGn0rGTHUxjiqaSyFkWR75bi4Tz52UKG1Cv0rR0yhM/vuIPn3nijyWs6Htz58cfs6dyZj0ckYPTCU389hdmqNLANDg72o881JRkt7o2cZRIBuXJvOXnvwJ/T0omoqDii0w9KjUgMMbhw8e3Ob6mtrfWLngt1PPm5yEHOQHVHj8fDgYIDfMu3ePBwfuxwzp20gtu+/JLQ2lpiSksJstlITk5Wr1n+Ee+g2CtDCFHrB2uo8VNdMxgMeHwe1al/oP8DGPQGPnrwQfps3apeQ0ZSEt/cdBM2q5VWeXncN2sWc2+8ETh+J6mw80CceuhRDB+8/RDQIN4jKKk11IAOzKYIv2d7XNDpGLZqVaO1W/xs6d9frZkb1U7Z5/e79qvNpAMzSdPWTeOqVC9fzYdn5/5DcnIyly9c2Oi43VJTVeXVpvDSpEnMu/lmvjyvLS4jpLvS1QCweKd3bPqdtpXg1enIa9nykMc6WchvrgRc2xSUotPp/OazCC7I2Uoxh8VaK1q1iABwUFCQOj8XpS8iMqdhrY59BrYUbiGrNsuvJikoKOik94E61dCcpNOItM7dcel19CyCd99Q+O2BUT0RId1epUQD29AGYz0rMjOxAwBnZZTjwOFX3yM7HhkoMt0xwZ38zv/ia6+xcOxYAC7aks2MtKv4D//hlp63YDaZ/alJPh9X/PQTXVMVBajjyeTo9Xpqo5QsR8vyhq7ociNZsSkLuodQw1mVv4pR9fVYWafASQL47oYbmH/11cTEDuHJfk8C8OCvD/J3xt9qPVLX2lhCbDZ8QElMTKNj5LdowcQXnuHC23SU2cvIrsxWFQrLPGVsLNkIwAWpiqOV2r37MY2xJCaG+VdcwVe33cZ7Tz7J7Z9/rqb+1w0ezGd33smQgiD2fQATFlewt3yvn1Sy7JgKmuPHE+/juhSYvFRHjO7Ear3KoqPx6PWEuKBNpSLeIMNqtVLnrWP6RkWZ8IVzXsDrVXo1ud1uHA4HPXbtouOBA7TJymrqFH5IT1DG2zonT/2dHEkXG7HFYlHVscTmVF1bzTep39CtCDqUOHEbDOzr5P+OnEokJydjxqz25/lk8yeH/byg7GSTzUY2El0Hv3ym5/LFfzJ2wQI18nyysqwxMTGUhypGXXBNlWqcN0VblCE2PwHxPfFe/5H2B9cqy4iiLHmESGJ6UhKmcCXbWkut6njL6nDivDJs2KjUVTH2Jpj47OM8dojaSZFNeniTkXHOB7hobTZ3f/IJ0eXlVERE8Oldd7Fh0CB1nBV/VRAfEk9mRWajbJJMAZNRRhkFobCldRC5rVodMlpuMBjISEwCFCcp35vjp+Amgl+BXH6RVRNZH4HdNqWurpmtGTp0pNQreQ7enY/eC/sr9+M2NpbpFwa+Xq/H7XPzCwqNaJhnMJM+W0XrnBzsFgvzrr+eIWvWHLb9w3FBr+fbG2+kePBN+MxB7CzayfQNDWqmYp8U9V+Bc0EEF4WxJxfHOx1ltKiBhHIHtqAgv8znoaBDx1BHL67fCfN/eFN1uOx2u2o8CjEcZfgNtVyykyTeYYDvir6jmmq61EQz892DjFixAh2wpW9fPr7nHp55661Djkeo/amOIHrCCEPvVerG5EySTqfjj8w/KK4rJj4knouTLuLnsWO55+OPuXzhQlrXr7Pjxo3j8pkzmfnAA2QnJBBkt3PjvHmsGTqU0HoK67E6Sc+9+RZbEpXAaGLqFrXnos1mU2una1Bak4QSelzKdscMr5c2Bw+ycvYCmgU1w4WLbJSabT/RF3sVH236iGvq1yrB3jkRtEYJRh9wHPALZmdWZNItR7nHhc3i/ILZpwrlLdoB0CXfjtPn9FtPhAKumEei9ghQHRxREiL+LtcFf7DhA/W+HUhKIipYsVUXZS5qxGjR6HYaDoln33yTXYlK9+ruqQ2cXVkpRyywW9f9zKPrYHhxA8UrL1HpLzIqDfbW7PFbmEXPhnJ3GdXuUnToaEtjWtcdn33GhgEDABizbB1Gn4HIyMhGkdCFV1xB7x07uPKnnwiVaj6OFY4opQi2fbmPUlupqkYl6IYyP1w2dhcsmE63EqUeK7Ndu+M+/9EiZHMIlyddjtPj5NofrmVeyjwAhhUrjlF5VJRfEbhA8oQJGPUWVVhiW8E29Tmur1MKqIeVtaJ1fhFene6YF96XJk1iR58+BNXVcd+sWbTJzsZusfDdddcxeO1aXp44EZ85hI5lcOUe+HT5LL+aBZHel1UUO6fsAGB9p2YnnCkZ/+qrlMQqEuCCcicjODiYT3d+SpWjiu5x3bmw/YXq83e73cz+4AM671WyQqn1Bt3hUJigNP3tllOlLrbyvBHXLtSgvF6v2t/i9/TfKaor4qZU5X1LS0o6qdHwo8XosiSuSoWf9vxEpa3ysJ81moz8xm8MyoZdM0302Z+L26D0a0pOTj6pNNSIiAiqQhVnJ7SmRhVXCZT4DoRQTxSbprzR1rnrWJ6xnNIgJbtzNM8YwIJFpUeVUur3N7keR0YhSq+rCCKw6oMP6YzdMGcOZVFRWJwuuuZUoPd4MHo87O3UiVn338+9//2vcl99Plrk5ZGUVcDjAx4HGmeTDuUklVLKx/3g0bv7smngwMPevzs++IAai5EoO+gKlOCYMIhFDYPM5RfnbOqYqbWKpXLDbgu9tm8nv0UL6oKCCKut49KDCnUzz5Dn9x2ZVmMwGPgt8zfqqCOccM4zjGbZqFHktmzJrPvv54Z58w55HScDwQQzEkWuefyK8RTUFAD+IgtyYE2+BjFXxX0DZS6GVFcAUGcxMuD88/36Lx0KycnJvLIon3k/wiVbC0ktSVWp1HV1dX7KrIE0O9lJAmVulNhLWO9YzzkHYc0sOx3TM3GaTMy/4grO2rKlyb1FhiwBbjQaCamuZvc7NVS9AVU+ZQ2RgxVfbFfEBHqUtyel/0DGLlyIye0mLSmJkpgYxo9vqId89O23+fyOO1hbHzzos3UrZdHRbO/Vi4LmzQ87rqaQ3k2p9zk/tZwSe4lfLbLT5WTagmp+nAcdCu2qU3uqkJyczE3ffMOdn31Gt9RUhicMB+AABwD/LPSsjbOwllQwrL4v49GuVYdD9+oYRqRDmlNp5SJsgw0FG1SqXW7CKaba1aOieTsA+hRAvjuvkcCOvMbIDpMIuopMEvi/j2tz1rI5f7PqJO3u1o1e9MLqgkUHFqhri8hcaU6ShsMio7tCuRuT4mBdjtLwT+bzu1wu0EGP/Qd5/3d45teDqiF0sE0bXHpoVwmbV32vZgtEN2uADb9+Qvmb8Mu3FoJoujHZ0lGjWD9wIN/cfDPodLz//vs4goJwG43qz5j6wurlI0Yck+RxIKqjFOehVRVMnfWmOl4RoRaUHDli6tP5SMpQVqqslrE8e5gI24lAGELNCgtpm5XDrItn0atZL4rrilm4X7n+/sXKPWyKaiejOcpmsrNkp5opW1OjZHxu3adQ7TLbtePpY6DaybA6HITU1ZHfvDmz77+f6779Vv3bbZ98QmWwmRgbVK9c1IhuJwwIvV5PlauSUanKpirm4olC7QHUhJOkt+qZvlmJCD81+ClczgZlRqPRSGJ6OlaHg6qwMO46CvW4moQeAPQu8PLq5OcbFQZDg7EgqHhikf8q5SsAbkxRnKSTsQkeK2JKSnjz/e+Z8yPoa+v4Zsfh+y3N2TWHrun5rPoMWlS5KI2O5uN77uHyhQtPmiS+QFBQENX1NVARNXV+fdeOlEmSm+LKTa1X5azCg4fxl0bxztPPcM9hqHYCBrebYX//zQ9z3ZjdDXPK5XKptQ2yiqNAIYUEOxsaJx76BAbmX3klUx9/nIzERDYNGMDcG26g8549fmtN3y1buG/2bEYtWcKdPe+kWXAzMioy+HrH1+pnhFPeVCYJIIaY+lMe2kkyWq18c83ldHwUfm1RwK6SXWpkV6yVch1WoLMk4MFDapViqdy6Mpsr58+n6+7d7K0PzNxcTzE96D3o9z2ZMmY2m/l4+8fgg370w4CBlB49+OSee5pUnDyZSE5OJqi2lnu26Lg4N5YqRxXPLHlGvVaZYi6oZwJ2ux29Xq/W5Ahjzm63E1GpBPnKw0MJCQk5ItVO4EBXpfHwtSnwze45fsXttbW1KlVMVhIVYht2u53q6mr156PNH9Gl0M2SLyGquo7i2Fg+vvdermxCLKYpiHqO4OBgpUFrUBDx1R5CXKCrU4IIIsuWX5PP4rTFGDzwyefp9Nm+Ha9Ox7KRI+m4dy/PTJ7cKCP78sSJDFm7lnnXX8/8q67i7xEjWHDVVaR1PHYWR3aXfrj0Sv3022/d6/fcKpwVXJAGV+2BUI/5tFCvDtYHWbulpnJ+G6UuKQ3FaRFOks1pY9qGaVy1WzGKc1q1OubygkCEV1Qw/Z2f+ONrqLIVUe2tpq5OWVfXFaxrqEc6isbyJwNFcXGsTAri076QXr7HL5MUFham/ltuQA8NAQj5v+X17IMNH9C+DPrlK9TB3V268PSvmRS9DS13ZpBamerXxkBzkjQcFvs7d8Olh15F8N7kBwDUxV04ClnOLIanK4t8TmJD5uGF119nX4Ky6bZLT/PLJInvtsrYQ7AbolxBh4wyv/D66/x+ySXUSV3iDfXRVPEDinrLBYsXn9D1/mfiRGpNOvSAqTLPTypV0B6EkpO4F5sKNqnXn53Y+YTOfyT03r6dBz/6iNF//kmoOZRvr/iW+JAGI8sW35H1AweqhkZT6LljB/M/Smfyn5BSloLL5SLXm0uuKxeLwULGwEv55O67WT5ixHGPM7V7d76/9lpFSCDQWDEa1QzViNQyCmwF6p/kprY+n4/3X76ddpVKI7/CDn2Pezwy1g0Zwku3DuKzPo2dpCUlSyixlZAYlcjYJIXqKctJd0tRBCR2d+16VKIgT773PkUhekxeMOenNDI+BX86NDRUjfDq9XpKnCX8mfEnXYohsbgOj17P3s6ndm41hUfef5+SmBisHrhsH3y186tGTf0EKu2VPLfsOV5dDiYv7O3Uidn33ccDM2eekrGZTCZsoUr2JrJGyc75fL4j1g3odEo/pMCN1GKx8GeGUsnbgQ54jcajcuxeevVVBq9bx+i9dfQpaJhToou7EDUIVCgrpJCU6fDXtCxii4oOe46cNm2oET2odDpunDu30dgOdFAoI22ys5nz2mQe6/8YoGST3F5/ZajAeVjtLsHigmiieeqpp45YrJzfsTeWmO6gg4+2fKQ6SSKTJHetlyXQZeSRh91rp2uZhbb5xUrmumtXlXI3Yl8d+OCA84Df92Snc0/5Hpzr17B1Jty9Q2EXJCcnM/4kqNgdDUasWMHYhYt4flMMOnR8teMrlfos90hqijInWBlyFNzmsBFdpVCqasKVGpijNcz3d+yIw2ggsQK2/vopNpfNr+bJ4/GoGWvhlMkKdwK1zlo+3vYxu+LhyUcuYdnIkfz33nuPuTm63Cepk9RQ1lrVsOaGhIQwb/c8vD4v9++OoW1eETarlS9vv52RS5f6rbGiiF5+h26YN48Dx+EYyXj2rbfY0V5hF3RM3a6ey2QyUWYrIV5h22ELDT9qh/VEIIJh7TMyKFi4Cx06Cimkmmr1eX297Wtya3K5PtXg950TwRPvvktNSAgmL5yVDxmuDFwuF0ajkd+3L6J/fUL3dDlJL02axHO39uHZCyDX6L9Ph4eHq06MsMfkwIwMmWqXV53HD6k/YPLCxh5J7O3cmWcmT8bi8hLmVAIMv+f+3pAA+B+E5iSdZjz71luktm+O3QBBBftUhSuR7vR6veypS+F8payIzHq+usDfw4dx0c0wo1clTp9TpS0J3mjPdMU4yEhMPOw4Ah2oDx59lHefeKLhZ9w42qWlwQnyhfUGA5+dE8+TF0CetU7Nevl8PpXTHbipLM1Ywsj6eqSM9oe/jhPFgaQkfEDrnBw+Tk6mVWgrvr3qW4JNwfSN70tZ2+78fsklbK0vgG4KBo+HxMIa+uZDSmkKHo+HDXZFhjfJk4RFH0RO69bktGlzXGMUz+ra7747JD1uX/feAFy1G/5I+1WN3lksSi8KYYgLqt2GTnG8eJJECXITEshL6kZpiL+T5NV5mZM5B4Bxg8Zh1BvVjdntdjN18uQGqt3R1mrpdKS2jiArHJx1eU32jTEajQQHB/sVM3++VVGTuydVkQFOS0riuTffPNFLP3bodEpdDnBNKqzNXUtqQWoj9SyPx8Mrf71C271FDM0Gt17PL5dfzvOnkB5otVrZ17krd42BmWe5D6smFoimPmO1Wvl547f0zYOOvg5HPxCdzq8Zo5hToshaBIdEtlTAV51Hu0poUWGnqgm5fhninTocZXHcu++SVa861XX3bu7ufTexQbGklaf5ZZPkvjygZHSG7K+g9nV4ct7qo665GIxCd/ph2xxqqVXXRo/H41cXJtPt5OvPJBOAO3crzp/IXGe0b89PV17J5AduAh3sr9uPh4Z+ZuIcRqORL1O+5PF10KcQehzIPaUNLpuCME777cligKcPAA//9jBur1u9fqFcKWp9BER2Wlboyi7PplU9W7w2POqI9XUyXnjtNQ50VGoWL0918MuBX5RmqPXndblcan2UDFHMHhISgtVqZU7qHMod5UQSSWxUf1YPG8YLx1GDYjQaVdqd0WikLFxhOYRVVqjXGxISwte7lLn52FplTVk/aBB3fPZZo+OJMQa+t/I7cbzPP73bWVSZweGpZn/5ftU5qC7KxFg/ZWvrFQJPNR6bNo385s3R+3yctSdL7U+XTjoulwu7w857G96jWQ0MPVjfs+9ksAwC1rEMdwY+n49yVzlF+nL63Q/fXXEJj5wE9dSjhWC8FFDg9/vg4GB1D5LV6ET29FBUu5mbZuL2urHHtuG3a27lu+uvBxru39W74Y+sxTjdTvX7WiZJwxGx7NKrSXjGzJc97KzOWg00yDX7fD5qd6wiyg41FiP3fPSR33eLknqztmM4NWYfGW7Fk3I4HHg8HrYd2MDQTGUilib2OeI4xGKYnJzMuHff9f95550TdpBAWbh/Gt6Vd8+G9NBavx5CgVE4sVjP2fgNA++FqVf2I/s4HYujxVNTpnCwXpK7W71IxVlxZ7H7vt0svu7osmhFEt0sqyqLElsJG+2KYENvequfOxGD40jfzWzXjsogE3F1sHPOdNWAFMXLPp+PkrpiLhBUu24nh2onEIsSOaygQlUO2mXYRUFdAS1CW3BD5xsAZYEV9LjEjAyC7HaqQ0O58xgatc6+ejhtx8HcLrVN/l00L4T65ngeN1/sVDj6mwafww9XX83as88+vgs9CRCR/Uv36whxwJzUOX51VU6nkx25O5i+eToePexqH8+unj15csqUUz62ipaJfHYWbGrpo8ZTo6oEHslJCmnC4CmiiMFp1WyZDRM//+eY5r+QxJWdpMrKSlWyOrBw34uXpBxFNCSvWcxRFUIfzXiEQ9s1NZVQc6iaTZq0cpKaTQocSznldCsGgw885pCjcpKSk5PpXRLE0jkWfv3ay5y9c9Tmi6LoXdS6yJkr2eA4iEKjG5OiBESEofLyxIns7N2bkKBWWLHi8Dr8jCS1ZsRrZ9k/X3KdktxVBS5OJ27/5BNqg4MJttm4J7MD0UHR7CzayYyNM9TnLgIhgXW0QtxAFjHILM8kod5Jqg6PaNTT60iQAxpf7vxC3afF/RdS3QJyVtjtdlNbV8v0zdOJr4YhDEGP/rj3ARH0EtdQEV5Pja1SBAB0Oh0p1SnsL9+PxWskvWsfSqOj2VRfg9wUDvden8h+ta/XAIY8k8QrI2DcZ4o6pN1ux1SjUANLg/VcesUVp160oR4iCNctNZUhzYYACuXO4XDwy95f2F26m/OyjOh8kNuyJY8fQvTlWCGvY+mudNxuN//k/gM6qIhrzu4+A4+prcqJIp54ousgtjDfr12HYAKILKyoGZdrlAKpdg63g1mbFbXYQQyi/oMApCcmYrNYaFEDnfeXsr5wvV9d9P8SNCfpDKA6Oo7WFmXxferzp4CG/jUuj4uu6Uoe9kD7BAiIeunQ0Y52AGwq2eTflyF3K6EuKAnW8+j0I3P/Twf0ej1RKDU55ZRTXV3tF6GWo6E+n4/iumLyySc/HHJ6n3fSsh2Hg2wIiShJlCWKT955n1bZ2VgCunIHoqTeSWpRA1F1sLBkIdW+asKN4Yz/ZhOXLVpEeEXFKb2Gl199ldQuStTz3NRCKp2KMyQ3gnvuvQfZEwsVVh35HU8O1U5gwK503lpmJL5aKVr34mWlV5G4fmLQE5gNZr8iZ71ej9tgILNtW2UDO4bNsplJcWoLKMDm9pdwFXLUch+Zv9L+IrMyEwsWEi29SenZk8z27U/SlR87HvjoI0qjo7G6fVyyH+amzMXpcuJ0OrHZbDgcDl5a+RIur4uqlh344fYHWDRmzGkZmxGjWstY7i5XgxlHQmCDT51Ox/a67Woxb1GLY5O4FRHYIdlKfY8bNyUlJeomK6Lp4jmXU86AbMU4zk84+j5kR4JwNNoePMisV17hnt73EBMUQ1p5Gm+tVuqXAnt/+Ml/N2t21NFyl9nM8DQnIzJh1fxp6EzKMR0Oh/reiGsPNC49eMgiizYV0DmvUqXaydCjV9W2hLoXNNQk/ZH3B/ducGHyQmbbNtw/a9ZR36eTBoNBod4CZ6Wk8fr5irP78vKXKagpUJ0SvV7faF6KiLcsHJJXm0dWBGxtZaYkNvaYhQL2deqE02igYxmUb/ibjIoMtVm1MtwGyprodShqkhwOB7+m/YouI4Ocd2HK3DT0Hs8Rznh4iCy51WqlJlzJlgo6oU6n48f0HwHoqu/BhnOG8+Gjj/LU22+f0DmPBy9OmkRnYy8AdrITUOaZtaYCgLJQ84nLfx8DxHucmJ5OyC5lP08jDafbydSNUwHI6TaQ98aN45fLLjtp55XXsYOug9icNv7JUfovNiWsdarR72AdpZPhu3kuKmkQDRKBg0BlRlGXKn4nU+2+S/mOotoiRmUFc25hNPh8qmP98sSJaonCNanwR94fjZQf/1egOUlnAMnJyaoMcKYzBY/Xo/ZJynRlMiJd2fhz2zeug0lOTmZEXgRv/Ql9t6eoG6fb7aZNutIkbUf72NManTgS4p1h9MmHpOxiP2U72ZgVWJG1AlDSwmGEnZbxpdZvym2ys/noxRfVRaBFXh73fPIJ98+cedio2vOvv05lfX1D1xJYUrUEgHNL2tFl337O2rwZz2mImO3t1Z+vzgpibg9YXbxarVfz+XyYTCY2BO3jklvglidHHFFN6ViQnJzM8L9X8swqt1pDkkoqJd4Soq3R3Nb9NsBfMWfKlClkJibyxZ138vtFFx3T+SKJJIQQvD4vr84Y7/e3QKPe7XbzxS4li9STnpgxq2M+Y5Aodzek6smtyWVF1grVGF6WuYzf0n5Dh44LuRAdOl5+9dXTMjS9x8OlaWZu3g5VnkoMBsNROUmycAMoz2HF/j/UBrLHSl/JbdkSH4pITXy1Tw2wAH5OkkAhhadELeqJd98lOyEBHdBl924igyN5fbhiuL/y9ytsytvUyNAro4zu9SVRxXFxRx0tH/fOO6TUR7zvX2djTaUi/OJwONQMRWA0VxgcBRTgxMkN9TUVB9u2bWQc99+4kYWzCxh6ELJokNsXmaTZK6Zy/2bld+sGDzmqMZ8KiKh/lz17uKfXHfRr0Y8qRxUP/vogekODemVTmSQBkd3Lr83njXPhtns7satnz0ZNf4+EF15/nbQOCj1raDZ8s1sRWpEpfaLdgMvlUltYCGPwg80f8Nh6MPrA5PGe8Hss9s2goCDqwpX65LgqJ168uPQuFqYpgkNnUU8PP8niLseCLnTB5DMSW1LGzrKduN1ugmoUw7wi1OJXx3iq8ej771MQH4/e52PEfhsmTNRSy2Y2syZ3DXr0DGYwNeHhFJzEnkV5LVvi0elIqIZmlS4y6zL5J+cfpv0G969zHDEAe7JRGqfQ7ZLKocreECiRJfahod5Rpt1Bwzvm8/l4f4NCE3z/DyOPfDSLXtu3+50rVcrCrsj/i2p7tV/Q9n8F/x5L+v8znJ0fzNaZOhZ/VsffB/9WC9u2lWxkYK7ymYyAeiSBYVnwzBq4ZEcpLp+yMHt9XvqmK4pKp6qv0PGiX2Y1W2fBlF9qqaiu8GsIGNj5eXn6EubPhZdXWzAeoqD9ZOPJd97xqz0QnPNmxUo4+EjKdgBFzRSp9u5F4Eah4dySqmziB9u25anTQJU62L49n4wZyMp28OWGL1W6HUC5q1yl43Qw9Tzp55abyhZTzCqUYuuH+z9MsDHYTy0nkO6S/Morx3SuV5Jf4cPfzRRPhrZ7tvj9zWQyqTK4Pp+PMluZqlT44Y/lnLNyJVapN8aZgqDcnZepx+hpML7cXjcvrnyRYCfMXNGSdtVHdlBOJvReL99/VcnX88FtLzvqTFKgrLLdZ6dTehYRDqgICzkq5UIZz7/xhvpODaqn3FVXV/upNQqlMYAST/4pK4QWDm1SWhoWi4Ubu93IlZ2uxO11c/NPN1PrrPVzhMq9JXSpL807mrVDxvp65+T6XfDT3x+qstNC5U4YLOJ8gqos3u0+ZYoTEOiUJicnk5CdTZe8aq5NVTJJgm6j1+vZU72HC7YXEmOD0qhIbpgz55jGfTJxWz3lLqSujjn33sdHl36ESW9iwZ4FPLXkKVWFL7AmSTR3Ff/tdrspcijeagQR6u+PFX+NHMmDj1/KjIHw1a6v8Pj8JdnF3Be1wSL6vq1sG7vT13NXff/Wk0FfFI1ZQ0JCqIxryd9tYW+s0qB1p2cnde46ntwYwkW7KtF5PGc0GBTkNrBnuoG9H8KUdx9ShFacdTgMUBmq1G2dTvx5wQV8cvfdpPTsQ3sUJsHv/A5AH28vteXAybxnL7z2GkXxihDU4BzYXLOZkoO7eWwD3Pn7NrXX3enCs2+9RV6E8g6EFaSrvzcYDKqtINaZQFVN8TmA9bnr2ZS3ifYVerrmVuFDqfOVkZ6UhN1ioVU19Mys4++8vzUnScPRozY8kh6FPvrlw7Sp/1GjUAcMB2nxFLx060Ae+eCDJr9bkKjIIJ9zEDJq9uB2u9mUvYnvu3n5M0lHaeLJpVKdKGxRLQBILIec6my8Xq8q/y0bOugga+l8rtgLt6/O58XTFD2HhuhlhwMHVEM77hicpBLJSQCIM8RxdqpitZ0uqenk5GS6oGQfD3AAFy7VyH16wi20qvTRilYq/fFkQnaStrCFQgqx6q3c10dpmizXCJnNZtpmZhJcU3Pc54vyBBNrg4ScHPV3QiVSptx8t/s7HB4Hg0tjGLQzjfNWrDjuc55M3D9zJnNvuIHxj9+K2wCL9i/Cjp2v9nxFakkq924zcd+KXG778kuSx48/8gFPEm67/36qLMq2YKkuO+pMkrj3AhlkcHWKshnu7dr9uDLbOQkJ2Ew6mtcoTlJenqKOKSi6MsUvsjCbYDdUW00nvRB6R8+efHnbbXx33XVMnDgRq9XKeyPfo0VIC/aV7uPpJU/70b9CyouwesBhNHD/MQpt3Dd7NhltWmH2wtUbi9hn36fSuIQwgVw7IDJMwkn67LKBvDtuHDt79Wp0bLWYOhVqvNV+dJufMn/gcaUjBRsHDT4p9ajHjXq1Tq9OR3xBAQNaDeCLK5Rs8LT10/hwy4eYTKYmhRvkSLjD4aCgLh98qAbw8UhOl8TFERvZl2CCyavO4+/cv9W/CYU7MSdF0XtISAjvrX+Pe7ZAmFOpW731yy8Pc5ajh9lsJigoiAOduzLmznBeP1dpKLvRvZEQB7yy1MG1P/xIUnr6kQ92CvHyxInUhUUCSi2Q2+vm0wEWrC/Bf8cM9GtAfTqQkZSk1Ajp9SShGPRCwOTLb8q45csvic/PP+nn/eecc3j9yq6sagt/1f7FoPogeFFc3BkRD8psHglAfEFDvzSxnghRHIByW7nqLInMvcj8vb9eWWMfTlUyU00Fgl+aOJF1gwcz+/y2HIyExbmLVVbL/xI0J+kM4enJk9nbTplgPVL3UGevo85ZRzbZ1JmhMmngIVPlD384neJQI8FuCM3eicfjIYMMpg6Bh29N4smpTTtXZwoVkZEAhDth26Zlfj2SRNQNYE/FHoamK0X9B9u1P60b9a4ePfj65puZd8MNTJgwAaPRSOwxOEkF8fEUxkZTUh8cO68sidY5OfhA5difDjT3xTMqO5TkZW42laxX7+2Q9ZvIfg+mLDWfkuii7CRVo9Cirmh1BRHmCL9nbLVamZSczHXffsuT77xD87y8Qx7zcChMUCKBXbMbDD2DwaDKiwsn6csUxTC5P1WhpmS0b3/K+m4dE3Q69nXpQqy5Dc1oht1tZ/bW2SSvSEbnhafWK8bc5v79TytlJjIykvJQxfi01lSohvmRENgr6IAztYFqd7TKhQFYMno0Y54bzqwBDeINIjsa2Ccpx1TGR/1hfa+kk041fmrKFDISE/FJxfrNwpox8yJFiv2jTR/xR8YfqtEXX6wUpxfERmA4DqN84+ChADywCX7aN8evbYJoourz+VSxDy9e1UlqS1uqw8ObbJKclpSEw2wmoVqJagvKXY2nht9yFjPuQtjauQ1b+575INvK4cN558knWVcvsHJjzxuZMloxwp5f/jw/7v+xkbEl3n29Xq9m3mJLy7FNghkfreWKK644amU7GcnJyRgx0pve6L3w6fZP/aTGRZ2UTqdT+yTtL9vPLykLeEzpJ65kkU7SeyzqkqDB+UsnnQxPBndug1CHm9LoaG4+SU7ZiSC9XiBobKqLFVkrqKEGdGA1RhzXszgRyPuecJIABtUm0TUtm6T0dJynoG9TSo8e7Ondn6JQqPXWMqSe5ZZ7mqS/A1FY3yC4bUGF3+8FPd/lcXHHr3fQ5fMu9PuhH2N+HcMdv9zBq6tf5bOtn/Hb/t/4PvV7AK5MVTLZhwoE/z1iBNvOvYS8cFhTvIZKZ6XmJGk4eqR1U3jDY1Pd/JXxF/vs+/DgIYwwtQlhk9Dp2NVeSeEmZWTi8XhIR4kaiTTyvwkvvPoqhWHKgmitUCI1QtlO7uOzJGMJo4T09yGohqcKT739NmkdOyq9XOrRrL7XytE4STv69GHmI4/x3+HNMGHiht3KYpvVps0JNeM9Vhg8Xn6cY+OlVZD+59e43W6yy7O4IFWReHLGH7rf04lAbiiLDwwYuLv73Wq9nHjGBoOBdpmZBNts2IKCuP8Ye4UIVCUohnfvfA+1boVmKjKAQm52wf4F7CzaicVgYXSK4kydiQayh4MOHX3oAz54aflLVNgruOlAJAmltdgtFrb26XNaxxMUFERFaH1GpKa6SZGAQ0FE9n34SMjYS5QdKkKtx6RcKMMRFES0QaHcCSfJaDTidDr95LEdONgQV8VDl8Gfl1x+XOc6atQ7ZRaLhRFtR/DwWQ8DcN+v9+G2uHHjJiOkli96w97OnY5Lveu6b76hJDKMWBv027GHImeRWsspqHZOp1ON+BZRhB070XYjLWhxyOO+NGmS2hvsmtQG8YYV5Stw6zxs7dScn2+886iUAU81qiIiqKuvH5pQ36Np3JBxPD7ocQAe/vNhUu2pft8RjooQiAEIr6rC6gGLByKOIAt/OESWlTF7Th6bZsOv+36l1FnqJxQhmtsK8ZX31r7HFXugbSXUBgc3mdk7Xuj1esLra2DDCcfggfXeNei88OR6xQBdP3jwv6IueV/Xbnh0MCAPZn/yguIkAaGEnjZlOxlRpaVctmgRd89fRRxx6NDx4J4W6H0+8ps357FTJMfdilboUJzk091ENhCVzZW2Kt3yHThRMtFCsdHhdPDgkgeZv09pclzjqiGlLIWf9v3Em2ve5K6Fd3HpN5fi9roZVNmSxJwiJRB8mH01vv5/Lq+LBXsXnOrLO+k482/R/8fYW7+ADMyDr7+ZxJ6sNWyYDdOWWNF7D8/bzKlvsjogvRK7x06vPRk0r4ZETm1foeOBXq8nP6q+p0N5sdojye12qx3SzWYzX/4+k6H1UZb0I/R5OqXw+Zj87LOE1ioS0yXHUFdwG7fxIA/SP0WRZz/dRvnLEyeyo3M7AAakZOJwOZj66l10LAO7EXI79Tkl5y2LicGj0xHhgJbV0Je+tI1ui8PhUJt+ikyDXwPZ44wmPjXtI0qDdVg9YCpQjCXRO8Xr9fLD3h+469e7ALikuDOtCgoVxa/DNAU+3UhOTqb/hg18MX0zV+1u+P3za5V3ZctZZx1XP5UTgdFopDpUaTIdWlPj1/hXoNpRTbWjutF3RXS7kEJ+TrRx4a16/rjwouPOCCcnJ6vS8iW+Ynz4/AxT4SQVoQQzwggjhJDDHfK4ofN6ufD33/nP1Km8/XQDvS75nGS6xXSjqLaIuTVzKaecda3h3itNrBlx4fEVphsM/H3+aF68LJY5PWFJxRLsdrvaQBcapKZ1Oh0HOUirSsif7Oa2r745rIKayOpdkwo53ix8+Pg572cA+tNfNeTONOSov1G61ncufIfru1+Py+viqU1PkU8DPUpEqN1uN26vmyUHlxBTpWTbqsMjjlm0QYYtOJgu6Tn0LYDOhR6+3P6lqpTn9XrV/3a73RRUFfD59s/VWqRN/fufdJVWq9XK0KFDWfBRJo5JkFRk57J90K7Mhc1qZVvv3kc+yGnAU2+/zf62SuaiV+o+Pv3Bzo/zoF2J87SJNsgweDz027yZnjt3co/tGu7lXoamKnPoVO3VycnJJOaWMn5NCF2LUGvOs8+Qk1TRvB2gsD5K3cq1e71enC4n4/4ex497f8SkNzF75GwWXbSIzy74jLdGvMWD/R9kdOJo2ke2J9ISyaOpisBFVps2h2xPkZycjMnh4NGdcdy6DX7a/9PpuMSTCs1JOoN4+u232Vu/gPTcvY/mmXsYkAej9tqO2OG8OFGJTA3IhQPZv/HDPDe570BbW/gpH/fxoCRKGVdUeQWg0HpklbsqRxVts3OweKA8PJRHT2ODNRVeL6OWLOHR99+nXYbi5FRERBxTz5VQXwix7nAOtm1LaXT0YSMspwoHuyl9Mcbu9rCtdAudUhUJ1i0dmp2yKPFLEydSHh0NQL8iC+dwDmFhYaphZ7ValU3R7abLnj3ACW5KOh0pCcqcapaTBii9esxmM9/u+5Z7F9+Lx+fh9t6382Cq4uRmtG/PM5Mnn8BVnnxElZfTvLiUu1IVJcexBe3pnpGPV6djw6BBZ2RMtaHKWCJr7Gp26EDZAaaum8rIL0YSMzmG6MnRPPvns9S5GkQwwsKU7x3gAB6DUgOwp2efExrLpWv3k/oh3LXRSQ01agZaZFFqamqosucwKBtau5ud0LkOh/ETJtA6K4vIykp1/ppMJkIsIfz3kv9iNpjZVLOJpSwFIJroE3I4dvXqRUb/0djMsKxiGdWOavVdEg6ScBYzyeTq3WD2gtnpPKyCWlpSEnaziTZV0CavkD3s4eklpbz2l54hNYlnVvUxAGGVldz+2Wc8+sEHINTkdHq+uOILRrQbQZ27jjnMoZxyQHEcdhbs5KWVL9Fldheu/vFqtUdSbXjUCTlJz73xhlqYfm0KfLz1Y/QGpQ5PBPqEeMNXe7/C7rbz6HXN+fWSS9h4mD5Fxwuz2UxUVBToDBh8kFAFT65TzLkt/fqd9uDK4SAYM1elernoAFy1B4J8J5/WdjR4ePp0iuLiMHi9DNibT1JdJIn1tVunMqA5fMUKXvmzhifXQqgLHGYzDx2i5vxU4/H33uOzQeE8cgmUeJV+aV6vl2f+foa5u+di0Bn45qpvGJ0wmnYh7bi0w6WMO3scMy6dwe83/86ue3eR9XAWgw4o792R7ltiejov/riLicthQ+F6siuzD/v5fxs0J+kMI72bwv++IsVNv/QKADISj9ydfty775ERY6Y4GPpu3gDAnuYWnn/z32UEClRFKgZ0s/IalVcvmuIZDAb+yviL89OV7FlmYoczIl2aPGECbTMziS4vp0V+Posvuoi1Q45eCvei337juTfeoPeOHfw1ahQfPvqo0pT3NCMjqQPVFj2tqmHz4g+5MEWxFNJPcgPZQPx09dVM/c9j9El8ikgiVb6+eMYAX959NyF1ddQFBXHbp5+e0PmyEhRqUfucQgDi4uL4YvcXPLbsMXz4eKDfA3w69lO6pSppmjPhsB4JIrI/cp+dC1zDeHGdYsjt7tqVx99774yMyR6q0JIiaxzMKZlDlw+70PGDjjzxxxP8lfkXLq8Lt9fN5LWT6Ta9G7/s/QWA6HoneT9KK4KOdDxhozvY7qRrCQypV7gzGo2qOIdOp6O0tJSEg+ms+wQW/LfglBr5Yv6IptOgGOY943qSPFQ57z7vXroUQ7wn+oTOlZycTEc6Ek00dp+d5WXLVVlpoT5lsVjIyMjgIAfVflRHMlhenDSJ1O49+LmrCYcBNtb8yn/WwQsrvTQvO34hlVOB2tBQ4gsLCa+u5vN77lF/bzFamH/9fLrHdKeGGr7ma9aznke2P8I5c8/hg80fUFRXRLOQZvSvUmjpVeHhxyXaIEPc22tTdaSXpxMzOYaL513My6tfZmHWQjLtmdS4a5ifo1CV+prPYdPAgadE2VSv19OsWTMqw5X14rJ9MDzTqwRXBg486ec7Eezu2hUvMCgXouoVr0Ug5oyMR3qPO+/Zg97noyA+XnHGTxEEte6ObeDWQW6rVmdOHEWn4+OLe/Df/pBlLsGHj5f/eZmvdn+FXqfn66u+5orOV/gFY0T9eF1dHR6Ph3fffZe5N97InJtuIqVHj8OeLq1DBxxmM20roX8uzN0593Rc5UnD/4STNH36dNq1a4fVamXQoEFs2LDhTA/ppGFP124s6R7N5KGo9Th5iUdHCXrpzmG0eApCbfXFc4mtTtUwTxgZHTrz9Gj4tLdL7S1RYC/g1/Rfeemvl3hp+UtY3WA36sk4g1Q7YbQm5OSwYfBgNhyDbKtPr8fidBJXX8t0pnpUvDRxIts6twHgruVZdCkFuwGyO51aCkZ+y5ZURkVj0Cu0F4PBgNls9jNOhIG55wSodgJFbbuwoi2samnHg4c/qv7ghdUvAPD4oMeZcekMXkt+hbLoaOwWC7v/RVQ7gXtmz6YyPByr08WdB1riNQfhMhpZdwzO+clGRseu3DkWPhjoZVHJIvaW7sWoNzK89XBeH/462+/ZzvdXf09CWAIHKw9y+bzLuXLelbhD3Nixc++yg7z7OwwpjT3hsYiO9UOyG+qSrFarKvzi8Xhon6NEQ7Nanvj5DgdhJLfPyGDyM88ADX1yHu73MOe0Ood2FbB7Oqx5ax8vvfDCCZ1Pj57xm1uSMh327PoJu8OOXq+nylHFqrxVTFo1ibtW3EVEVR1Ds/zHeDgsGjuWl6/vwrYWcNPmGqweyGzZjLs+/viExnuy8fKrr6r0WEHRFYiwRrDw+oVEEEEppSxmMburdmPUGxnTcQw/3/AzOU/k0L1KcfirwsNPuHHp3s6d8ej1dC/20a1YR4W9ghUHVzB9y3T+s/w/PLTjIR46+BB2WyURvnC6cmoFeyIiIqiKiASgfTkcaNOC1G7deOLdd0/peY8VT02ZwsJRg7mvvkerwwD3Pv30GRtPiiTp33erwok81QE0sY5VRkTw5vPPsXDs2FN6viMhHiV4UEghS1nKZ7s/A+CTMZ9wQ48bVEVNIcgjau1EXSSA12jkQKdOR2xW/OKkSezrpDS6vzYV5uw8c+0FjgenV17kOPDtt98ybtw4Zs6cyaBBg5g6dSoXXnghe/fupVmzU0evOF14asoU7g4rZ1PFp3QqA48OMtu1O6rvRoZ2Bt8y1bkqTDw+FanTgfLWnZnSGsBNQdl7PPfNc5TZy/w+8/jFsHP0TbTzteWqMzJKpbHsBX/+SduDBwmpqaH2GCgaQrxgyLp1LB01yk8E4nTjYLcBDNuRySiFNcjWDs14/hjliE8URqORoKCgBu65z0envYrkWUq3bqLd4XGjsm0vLrpzMQ4c9GQBO/crtMIXznmBSedPUuTlDQZ+uuYa9B7PaWvIekzQ6Ujt1o0h69bRLTWV+VdfzYoRI3j2DEjDClQ0b8Oa5p3II48Lmp3NrYNu5bw25xFhicBqtWIymejVqhejk0aT/Fcy07dMZ8HeBSxJX0KSpw1/bYIYG3zR+cSDBLmtlMBPh3LYV/sPT//5NIMSBtG/eX+CrcH48NEjW8mA5Ce0O+HzHQ6PTZtG/nff0aKgQKXcgUJ9crvdzLhgBq/81Q9wURQVQrsTfP+Tk5NJ6foN3Urg9vWVjO88nsrUSlJLU9UeRwAP71aindkJCYw7SgO5Na3Z697Jw/Xxxs1DhtHuDDYePRRSu3Wj77ZtdN29W6HcSdH3djHtuIVbmMMcLFi4o88d3D/kftrFtVPXnPAqJYteFX7iNPTn3nyTfT/9RKf9+3k/ZRgxc6exrWAb2wu2syVvC9sKtlHlquKVFXDDfh//jE7n5q+/PuHzHgqhoaG4w+OB3TjDoplzxf0YXC4OH9c/M9h+zkXk5OwDyigJNRJ/AiIaJ4qHpk+n+PvviSspwW00kt6+PSndujHiFJ5TNMeOrqjE6nBRWa/4e6bQyh3LgAJoUZPFwi5KhGXGxTO4o88dAGpTZJPJhMfjUenNTUnvHw12d+tGz127uDnVTLehr6nZ8P8F/OszSe+++y733nsvd955J926dWPmzJkEBwfz6QlSdf5NSCCByzIURakDraKblG9tCnHE0bPMSpsqxbmqaPNvXB4VmDARSSQAu+27KbOXYdQb6dO8D3f1uYtLuIQHeIDWxg68dJKLXI8Fj0+dSm7Llkpn7uXL0R2mCDoQsgreTd98c0b5/ZlJnagx66k1wfMjYdvg8075Oc12O8NXrGDs/Png8xEa6q9gNOHVV5n5wAP8PGYMme1PXIVxQvIEWqEY0TtRHKSJIyby2sjXGi3A3jPZ9+UIENnLznv3YnC5sJ/m/iGB0KHjJm7iKZ5ifK/xjO04lqigKIKDg/3kWyOCInjvkvdYc/saBrccTK2rlmaZu4mxQVmwkdtPQmbi2TffJDdWMXA75VQwZe0Urv3+Wtp/0J4+X/VhrvdrBuQqDkNFwqnPFIpnJVPuQMlutY1sy43FSra2Kq71STECNgxR5MBv2w57c9aQUpqCDx/tIttxU8+buDroah5LbeE3tiMhOTmZNrRh/N/QvBZKw6z/OtVHgfTEROwWC2E1NXx2771+f9Pr9cTr43mcx3mQB3l80OO0iWmj3nefz0dBixbktGpFRdTJ6Q0n7lOP1D30ad6HO/rcwXsXvceKO1ew+47dPON8mEc3W2hXVH1YAY2TAb1eT224cl3dqyIBzujeeSScXaMwRCpDg067/Lcf6gNTAE6zma9uv51HPvzwlJ5Sbo4t9/Y7U+hcqmPDx/DlfNB54e3z3+bBgQ+qf7fZbHg8HrWVBihrnNVq5d2nn+aR999n5JIlIHpcHgH7O3TAaTLRssJJ7ocL/2ccJPiXZ5KcTiebN2/m+eefV3+n1+sZNWoUa9eubfI7DocDh8Oh/ruqPpL0b4YePU9sCQfsVMW3O+rvvZL8CvdHvAaAwQcvvvbvKdYMxPjx47E/vIkh69YxJK0GhzUYI0Z05AF5FDRvzi+X98X9L5DQT09KolVeHv02b2bJ6NFH/T3ZScpu3VrqxHD68dKkSfyncjMfRv9OO30it3HqjSCPwcC5f/+N3uejZV4elR99JLWrBMtdd2ELCWHbWWedNAcygQTcFen8+C1Ee0IJmfEBhSjccqPbTe9zz2V7795njPp4NLh79mz45BMsTicJOTkcPAkO5IlA5/XSPj2dkcuWYfrwQ+rq6RVyxcoP11xDSf2m33fzZuavT8dOGEG1iurdjq4dOO8kGUJFCYm0KtnGl4ss3BnXkQ3RJRRSyBV/5fPoBqUQutqs45EPjk9O/liQ2q0bI5cto3lBAa+9+CJusxmj08k99Q7hJdXK9ZfGnRyWw52ffELO77+RkF/IztkWnBYrJkz8dN1llFbEYrbbCXYrXWBTu3blwqM87tn7K7l1lfLfmwcO+XdmWVHUOrctWkSf7du55vvveaN5c5z1kezhy5dz325JFnLGjHpCpoIvb7+dupNMa9rbuTMZ7dqxu2tXNiYnY3E6ubM+YGsAnnW5CLE7KIuK4sZTmEUSqK4XS2leUHDKz3UiSE5OZv2gXwHolttYGfN0I7VbN3ru3ElBfc+g0wFzfY3PDd9+q7YSOFMoj43HYYAIB6R/FELQzLcpRKHN/T18OLtF2UF2NrGLFgEgJHrudjiIrKyk7cGDJB9BYEzgxddeI2XBArqnpvpl4f8X8K92kkpKSvB4PMTHx/v9Pj4+nj2HuNFvvPGG2lfhfwXJycnsmzMHr66YLf36cyxaOKsH9ePaJeuZe+kwbjxlIzxx6HQ67v9tJ+0O1m9j9dKsAvFFRbTIz2fOzTefgdH5Y/NZZzFo3TqK4+KOOqsHStQ778sviS0pYWvfvpx36oZ4VIiKHcSNxNCCFqclq/XSpElkf/EFrXNyaFbfiFeG7iijTseC69NieOgr8a8a/E15uGLBAhJycui/ceNJP/dJg17P3+eey/CVKwm22c64wtj45GSqIiMJrz60MWOs70MDEFJXR3NRh1eP9N5nn7T5f6BDB/pu20Z0jYML3OdyFs1w4mRg7W90LdkGwJ6k1gw4DdnCR99/n+z58ymJjcVdX2un8/mID7j+rLZtT84JdTrWnnMu137/PS0qHYASABT332m1sq9zZ1wmE08cg9BHVtv2VIeGovd62dpvABecnNGeEmzv3Zs+27cTVlODTjIuw6uqGt13GXppvTlZ79Szb73FhHqpe1DWtKbGsGboUC47DfOxMD4ep8lEbUgIyePHn/LznQhKYpUg4rLzz2fkGR7LgzNmMCE+/rQGzxZffDE3zZ3LmiFDOPu0nbVpvPzqq+z/+gs6ZmTRrrgWqFX/FmSzqf9tdjoP+Y5t792b1sdwzjVDh7K1b18yEhM59zjHfSbwr3aSjgfPP/8848aNU/9dVVVF69bH8ijPDH645hpC6ur4z9Spx/S9a39fw/THHuPhMyQneSyYe9NNtMrNPWQUpTYk5Jg2+lOFx6dO5V2DAafJxHPH+N2vbrsNk8t1RlTtAvFK8iunPWAw55ZbaJmX1+QzFhHgk+kEPPTFj8wOegCrtLDL8Ol05LZqRf+TdsZTg+HLljHjP//hoVNM+zgq6PXMuv9+4gsLD/mRsugG9bZdPXqQ27Kl+u/a0FAenDHjpA3n2u++Y/YDyjOurK9lMGPmYO9z+bJNT3x6PTmtWh1TcOlEMOeWWwiTHEi30ciXt96q/rs2JIQHP/ropJ3v2u++Y/b99/vN8XKJPrajVy/WDxzI8019+RB48bXXmOJ0gs/Hs2+9ddLGeipw+xdf8FFwMCG1tTgluufaIUPYdRhlLdtpoK06LRa/Zy9+d8/s2af83ABPT57Mux4PLpOJZ//F2XKAS3/9lQ8ee4yKyMgz7iSh06kO0ukKSt30zTd8EBtLRUTEGXeSAH644WZa5ub6BR4ASmIbBHDyW7RoNL+hfo7PmnVM58tr9e8VFjscdD7fGc77HQZOp5Pg4GB++OEHrrjiCvX3t99+OxUVFfz8889HPEZVVRURERFUVlaqXao1aNCgQYMGDRo0aNDw/x+O1jf4Vws3mM1m+vXrx7Jly9Tfeb1eli1bxpAzKJGrQYMGDRo0aNCgQYOG/7v419Ptxo0bx+23307//v0ZOHAgU6dOpba2ljvvvPNMD02DBg0aNGjQoEGDBg3/B/Gvd5Kuv/56iouLGT9+PAUFBfTp04fff/+9kZiDBg0aNGjQoEGDBg0aNJwM/Ktrkk4GtJokDRo0aNCgQYMGDRo0wP+RmiQNGjRo0KBBgwYNGjRoON3QnCQNGjRo0KBBgwYNGjRokKA5SRo0aNCgQYMGDRo0aNAgQXOSNGjQoEGDBg0aNGjQoEGC5iRp0KBBgwYNGjRo0KBBgwTNSdKgQYMGDRo0aNCgQYMGCZqTpEGDBg0aNGjQoEGDBg0SNCdJgwYNGjRo0KBBgwYNGiRoTpIGDRo0aNCgQYMGDRo0SNCcJA0aNGjQoEGDBg0aNGiQYDzTAzjV8Pl8AFRVVZ3hkWjQoEGDBg0aNGjQoOFMQvgEwkc4FP7PO0nV1dUAtG7d+gyPRIMGDRo0aNCgQYMGDf8GVFdXExERcci/63xHcqP+x+H1esnLyyMsLAydTndGx1JVVUXr1q3Jzs4mPDz8jI5Fw/8OtHmj4XihzR0NxwNt3mg4HmjzRsPx4nTPHZ/PR3V1NS1btkSvP3Tl0f/5TJJerychIeFMD8MP4eHh2gKi4ZihzRsNxwtt7mg4HmjzRsPxQJs3Go4Xp3PuHC6DJKAJN2jQoEGDBg0aNGjQoEGDBM1J0qBBgwYNGjRo0KBBgwYJmpN0GmGxWEhOTsZisZzpoWj4H4I2bzQcL7S5o+F4oM0bDccDbd5oOF78W+fO/3nhBg0aNGjQoEGDBg0aNGg4FmiZJA0aNGjQoEGDBg0aNGiQoDlJGjRo0KBBgwYNGjRo0CBBc5I0aNCgQYMGDRo0aNCgQYLmJGnQoEGDBg0aNGjQoEGDBM1JOo2YPn067dq1w2q1MmjQIDZs2HCmh6ThX4Q33niDAQMGEBYWRrNmzbjiiivYu3ev32fsdjsPP/wwMTExhIaGcvXVV1NYWHiGRqzh34g333wTnU7H448/rv5OmzcamkJubi633HILMTExBAUF0bNnTzZt2qT+3efzMX78eFq0aEFQUBCjRo1i//79Z3DEGv4N8Hg8vPzyy7Rv356goCCSkpKYOHEisg6YNnc0rFy5kssvv5yWLVui0+lYsGCB39+PZo6UlZVx8803Ex4eTmRkJHfffTc1NTWn7Ro0J+k04dtvv2XcuHEkJyezZcsWevfuzYUXXkhRUdGZHpqGfwn+/vtvHn74YdatW8eSJUtwuVxccMEF1NbWqp954oknWLRoEd9//z1///03eXl5XHXVVWdw1Br+Tdi4cSOzZs2iV69efr/X5o2GQJSXlzN06FBMJhOLFy8mNTWVd955h6ioKPUzkydP5v3332fmzJmsX7+ekJAQLrzwQux2+xkcuYYzjbfeeouPPvqIDz/8kN27d/PWW28xefJkPvjgA/Uz2tzRUFtby/9r7/5jqi77P46/gAOHHCU4JwesY7jc0MwGMu2EG3+Ay2abJdJwrCgnTsOFuWWmo9JFlm39UVP7sSZtUi5XILK1YiAaDRAJKcKwlT9aghaNoGBgnPf3j/Y99znBvbj/uM853Dwf29k4n+v6HN7X9toOb67Dxd13360DBw5MOD6ZjBQUFOibb75RbW2tampqdPr0aW3atClYS5AMQbFs2TIrLi72PR8bG7Pk5GTbt29fCKtCOLt+/bpJslOnTpmZWX9/v0VHR9uxY8d8c86fP2+SrKmpKVRlIkwMDg7aggULrLa21rKysqykpMTMyA0m9swzz9iKFSv+7bjX6zWXy2Wvvvqq71p/f785nU774IMPglEiwtTq1attw4YNAdfWrl1rBQUFZkZ2MJ4kq6ys9D2fTEa6urpMkrW2tvrmfPLJJxYREWE//fRTUOpmJykIRkdH1dbWppycHN+1yMhI5eTkqKmpKYSVIZz99ttvkqRZs2ZJktra2nTjxo2AHKWmpsrtdpMjqLi4WKtXrw7Ih0RuMLHq6mplZGQoLy9Pc+bMUVpamt555x3f+MWLF9Xb2xuQm5kzZ2r58uXkZpq79957VVdXpwsXLkiSOjo61NjYqPvvv18S2cE/m0xGmpqaFB8fr4yMDN+cnJwcRUZGqqWlJSh1OoLyXaa5X375RWNjY0pMTAy4npiYqG+//TZEVSGceb1ebdu2TZmZmVq8eLEkqbe3VzExMYqPjw+Ym5iYqN7e3hBUiXBx9OhRffnll2ptbR03Rm4wkR9++EGHDh3S9u3btWvXLrW2turJJ59UTEyMCgsLfdmY6H2L3ExvO3fu1MDAgFJTUxUVFaWxsTGVlZWpoKBAksgO/tFkMtLb26s5c+YEjDscDs2aNStoOaJJAsJQcXGxOjs71djYGOpSEOZ+/PFHlZSUqLa2VrGxsaEuB1OE1+tVRkaGXnrpJUlSWlqaOjs79eabb6qwsDDE1SGcffjhh6qoqND777+vO++8U+fOndO2bduUnJxMdvA/hY/bBcHs2bMVFRU17jSpa9euyeVyhagqhKutW7eqpqZGJ0+e1K233uq77nK5NDo6qv7+/oD55Gh6a2tr0/Xr15Weni6HwyGHw6FTp07p9ddfl8PhUGJiIrnBOElJSVq0aFHAtYULF+rKlSuS5MsG71v4u6efflo7d+5Ufn6+7rrrLj3yyCN66qmntG/fPklkB/9sMhlxuVzjDjf7888/9euvvwYtRzRJQRATE6OlS5eqrq7Od83r9aqurk4ejyeElSGcmJm2bt2qyspK1dfXKyUlJWB86dKlio6ODshRd3e3rly5Qo6msezsbH399dc6d+6c75GRkaGCggLf1+QGf5eZmTnuXwxcuHBB8+bNkySlpKTI5XIF5GZgYEAtLS3kZpobGhpSZGTgj49RUVHyer2SyA7+2WQy4vF41N/fr7a2Nt+c+vp6eb1eLV++PDiFBuV4CNjRo0fN6XRaeXm5dXV12aZNmyw+Pt56e3tDXRrCxJYtW2zmzJnW0NBgPT09vsfQ0JBvzubNm83tdlt9fb2dPXvWPB6PeTyeEFaNcOR/up0ZucF4Z86cMYfDYWVlZfbdd99ZRUWFzZgxw44cOeKb8/LLL1t8fLwdP37cvvrqK1uzZo2lpKTY8PBwCCtHqBUWFtrcuXOtpqbGLl68aB9//LHNnj3bduzY4ZtDdjA4OGjt7e3W3t5ukuy1116z9vZ2u3z5splNLiOrVq2ytLQ0a2lpscbGRluwYIGtX78+aGugSQqiN954w9xut8XExNiyZcusubk51CUhjEia8HH48GHfnOHhYXviiScsISHBZsyYYQ899JD19PSErmiEpb83SeQGEzlx4oQtXrzYnE6npaam2ttvvx0w7vV6rbS01BITE83pdFp2drZ1d3eHqFqEi4GBASspKTG3222xsbE2f/582717t42MjPjmkB2cPHlywp9pCgsLzWxyGenr67P169dbXFyc3XLLLfb444/b4OBg0NYQYeb3L5IBAAAAYJrjb5IAAAAAwA9NEgAAAAD4oUkCAAAAAD80SQAAAADghyYJAAAAAPzQJAEAAACAH5okAAAAAPBDkwQAAAAAfmiSAABTys8//6wtW7bI7XbL6XTK5XLpvvvu0xdffCFJioiIUFVVVWiLBABMaY5QFwAAwH8iNzdXo6Ojeu+99zR//nxdu3ZNdXV16uvrC3VpAID/ERFmZqEuAgCAyejv71dCQoIaGhqUlZU1bvz222/X5cuXfc/nzZunS5cuSZKOHz+uPXv2qKurS8nJySosLNTu3bvlcPz1+8KIiAgdPHhQ1dXVamhoUFJSkvbv369169YFZW0AgPDBx+0AAFNGXFyc4uLiVFVVpZGRkXHjra2tkqTDhw+rp6fH9/zzzz/Xo48+qpKSEnV1demtt95SeXm5ysrKAu4vLS1Vbm6uOjo6VFBQoPz8fJ0/f/6/vzAAQFhhJwkAMKV89NFHKioq0vDwsNLT05WVlaX8/HwtWbJE0l87QpWVlXrwwQd99+Tk5Cg7O1vPPvus79qRI0e0Y8cOXb161Xff5s2bdejQId+ce+65R+np6Tp48GBwFgcACAvsJAEAppTc3FxdvXpV1dXVWrVqlRoaGpSenq7y8vJ/e09HR4f27t3r24mKi4tTUVGRenp6NDQ05Jvn8XgC7vN4POwkAcA0xMENAIApJzY2VitXrtTKlStVWlqqjRs36vnnn9djjz024fzff/9de/bs0dq1ayd8LQAA/LGTBACY8hYtWqQ//vhDkhQdHa2xsbGA8fT0dHV3d+uOO+4Y94iM/NdbYXNzc8B9zc3NWrhw4X9/AQCAsMJOEgBgyujr61NeXp42bNigJUuW6Oabb9bZs2e1f/9+rVmzRtJfJ9zV1dUpMzNTTqdTCQkJeu655/TAAw/I7XZr3bp1ioyMVEdHhzo7O/Xiiy/6Xv/YsWPKyMjQihUrVFFRoTNnzujdd98N1XIBACHCwQ0AgCljZGREL7zwgj777DN9//33unHjhm677Tbl5eVp165duummm3TixAlt375dly5d0ty5c31HgH/66afau3ev2tvbFR0drdTUVG3cuFFFRUWS/jq44cCBA6qqqtLp06eVlJSkV155RQ8//HAIVwwACAWaJAAANPGpeACA6Ym/SQIAAAAAPzRJAAAAAOCHgxsAAJDEp88BAP+PnSQAAAAA8EOTBAAAAAB+aJIAAAAAwA9NEgAAAAD4oUkCAAAAAD80SQAAAADghyYJAAAAAPzQJAEAAACAH5okAAAAAPDzf9a+al6BUCzHAAAAAElFTkSuQmCC\n"},"metadata":{}}],"source":["fig, axs = plt.subplots(nrows=1, ncols=1, figsize=(10,5))\n","\n","axs.set_xlabel(\"Step\")\n","axs.set_ylabel(\"Cells alive\")\n","\n","#axs.set_prop_cycle('color', list(plt.cm.(np.linspace(0, 1, NUM_REPS))))\n","plt.plot(batch_data['alive'], color='Grey', alpha=0.1)\n","\n","plt.plot(np.average(np.array(batch_data['alive']), axis=1), color='Green')\n","plt.plot(np.median(np.array(batch_data['alive']), axis=1), color='Red', linestyle='dashed')\n","\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":465},"id":"73zaY94gjsZQ","executionInfo":{"status":"ok","timestamp":1691537066385,"user_tz":360,"elapsed":4218,"user":{"displayName":"Jorge Mario Cruz Duarte","userId":"13516284558844055913"}},"outputId":"3ea8f6cc-cc72-436a-f952-02f54b1b9d7e"}}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.8.10"},"colab":{"provenance":[]}},"nbformat":4,"nbformat_minor":0}