1 - Descarga y preparación de datos.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# <font color='blue'> Descarga y preparación de datos </font>\n",
    "\n",
    "El objetivo de este _notebook_ es, partiendo de la lista de componentes del _Índice de Precios y Cotizaciones_ de la Bolsa Mexicana de valores ([**BMV/IPC**](https://www.bmv.com.mx/es/indices/principales/)), obtener las series de tiempo de sus precios desde [Yahoo Finance](https://finance.yahoo.com/).\n",
    "\n",
    "El lenguaje de programación utilizado es [`Python 3`](https://www.python.org/about/)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## <font color='crimson'> Preámbulos </font>\n",
    "\n",
    "Un paquete muy útil para nuestro proposito es [`yahoofinancials`](https://pypi.org/project/yahoofinancials/).\n",
    "\n",
    "Importar bibliotecas o módulos:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from yahoofinancials import YahooFinancials as yf\n",
    "import json\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Como primer ejemplo, vamos a descargar el índice a partir de su [símbolo bursátil](https://www.investopedia.com/terms/s/stocksymbol.asp) (_ticker symbol_, o simplemente _ticker_). \n",
    "\n",
    "> **Nota**: Todas las compañías que componen el **BMV/IPC** pueden obtenerse de [esta](https://espanol.spindices.com/indices/equity/sp-bmv-ipc) página."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "bmvIndexTicker = '^MXX' #Este es el ticker del índice del IPC\n",
    "bmvIndex = yf(bmvIndexTicker)\n",
    "\n",
    "bmvSummaryData=bmvIndex.get_summary_data(\n",
    "    reformat=True\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\n",
      "    \"^MXX\": {\n",
      "        \"maxAge\": 1,\n",
      "        \"priceHint\": 2,\n",
      "        \"previousClose\": 55180.97,\n",
      "        \"open\": 55309.02,\n",
      "        \"dayLow\": 55005.06,\n",
      "        \"dayHigh\": 55441.67,\n",
      "        \"regularMarketPreviousClose\": 55180.97,\n",
      "        \"regularMarketOpen\": 55309.02,\n",
      "        \"regularMarketDayLow\": 55005.06,\n",
      "        \"regularMarketDayHigh\": 55441.67,\n",
      "        \"volume\": 172672225,\n",
      "        \"regularMarketVolume\": 172672225,\n",
      "        \"averageVolume\": 179487975,\n",
      "        \"averageVolume10days\": 175580010,\n",
      "        \"averageDailyVolume10Day\": 175580010,\n",
      "        \"bid\": 0.0,\n",
      "        \"ask\": 0.0,\n",
      "        \"bidSize\": 0,\n",
      "        \"askSize\": 0,\n",
      "        \"fiftyTwoWeekLow\": 44518.73,\n",
      "        \"fiftyTwoWeekHigh\": 55626.51,\n",
      "        \"fiftyDayAverage\": 53997.29,\n",
      "        \"twoHundredDayAverage\": 50780.613,\n",
      "        \"currency\": \"MXN\",\n",
      "        \"fromCurrency\": null,\n",
      "        \"toCurrency\": null,\n",
      "        \"lastMarket\": null,\n",
      "        \"coinMarketCapLink\": null,\n",
      "        \"algorithm\": null,\n",
      "        \"tradeable\": false\n",
      "    }\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "print(\n",
    "    json.dumps(\n",
    "        bmvSummaryData,\n",
    "        ensure_ascii=False,\n",
    "        indent=4\n",
    "    )\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Conseguir datos históricos:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "dateFirst='2008-09-15' #formato YYYY-MM-DD\n",
    "dateLast='2022-05-17'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "bmvHistoricalPrices = bmvIndex.get_historical_price_data(\n",
    "    dateFirst,\n",
    "    dateLast,\n",
    "    'daily'\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Examinar la estructura de los datos descargados:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(bmvHistoricalPrices)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['^MXX'])"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bmvHistoricalPrices.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['eventsData', 'firstTradeDate', 'currency', 'instrumentType', 'timeZone', 'prices'])"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bmvHistoricalPrices[bmvIndexTicker].keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "list"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(bmvHistoricalPrices[bmvIndexTicker]['prices'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ver algunos precios:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[\n",
      "    {\n",
      "        \"date\": 1221485400,\n",
      "        \"high\": 25427.69921875,\n",
      "        \"low\": 24610.5390625,\n",
      "        \"open\": 25427.69921875,\n",
      "        \"close\": 24618.150390625,\n",
      "        \"volume\": 125304000,\n",
      "        \"adjclose\": 24618.150390625,\n",
      "        \"formatted_date\": \"2008-09-15\"\n",
      "    },\n",
      "    {\n",
      "        \"date\": 1221658200,\n",
      "        \"high\": 24722.69921875,\n",
      "        \"low\": 23383.6796875,\n",
      "        \"open\": 24618.150390625,\n",
      "        \"close\": 23456.83984375,\n",
      "        \"volume\": 280231000,\n",
      "        \"adjclose\": 23456.83984375,\n",
      "        \"formatted_date\": \"2008-09-17\"\n",
      "    },\n",
      "    {\n",
      "        \"date\": 1221744600,\n",
      "        \"high\": 24596.990234375,\n",
      "        \"low\": 23181.740234375,\n",
      "        \"open\": 23457.8203125,\n",
      "        \"close\": 24577.900390625,\n",
      "        \"volume\": 282824600,\n",
      "        \"adjclose\": 24577.900390625,\n",
      "        \"formatted_date\": \"2008-09-18\"\n",
      "    }\n",
      "]\n"
     ]
    }
   ],
   "source": [
    "print(\n",
    "    json.dumps(\n",
    "        bmvHistoricalPrices[bmvIndexTicker]['prices'][0:3],\n",
    "        indent=4,\n",
    "        ensure_ascii=False\n",
    "    )\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Guardar los datos:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataName=f'{bmvIndexTicker}_from{dateFirst}_to{dateLast}'\n",
    "location='./data'\n",
    "today=!date \"+%Y%m%d\"\n",
    "today=today[0]\n",
    "\n",
    "with open(f'{location}/{dataName}_downloaded{today}.json','w+') as arshivo:\n",
    "    json.dump(\n",
    "        bmvHistoricalPrices,\n",
    "        arshivo,\n",
    "        ensure_ascii=False,\n",
    "        indent=4\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Verificar que se guardó bien:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==> ./data/^MXX_from2008-09-15_to2022-05-17_downloaded20230517.json <==\r\n",
      "{\r\n",
      "    \"^MXX\": {\r\n",
      "        \"eventsData\": {},\r\n",
      "        \"firstTradeDate\": {\r\n",
      "            \"formatted_date\": \"1991-11-08\",\r\n",
      "            \"date\": 689610600\r\n",
      "        },\r\n",
      "        \"currency\": \"MXN\",\r\n",
      "        \"instrumentType\": \"INDEX\",\r\n",
      "        \"timeZone\": {\r\n",
      "            \"gmtOffset\": -21600\r\n",
      "        },\r\n",
      "        \"prices\": [\r\n",
      "            {\r\n",
      "                \"date\": 1221485400,\r\n",
      "                \"high\": 25427.69921875,\r\n",
      "                \"low\": 24610.5390625,\r\n",
      "                \"open\": 25427.69921875,\r\n",
      "                \"close\": 24618.150390625,\r\n",
      "                \"volume\": 125304000,\r\n",
      "                \"adjclose\": 24618.150390625,\r\n",
      "                \"formatted_date\": \"2008-09-15\"\r\n",
      "            },\r\n"
     ]
    }
   ],
   "source": [
    "! head -v -n 23 '{location}/{dataName}_downloaded{today}.json'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "¿Qué clase de datos hay guardados?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'date': 1221485400,\n",
       " 'high': 25427.69921875,\n",
       " 'low': 24610.5390625,\n",
       " 'open': 25427.69921875,\n",
       " 'close': 24618.150390625,\n",
       " 'volume': 125304000,\n",
       " 'adjclose': 24618.150390625,\n",
       " 'formatted_date': '2008-09-15'}"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataTypes=bmvHistoricalPrices[bmvIndexTicker]['prices'][0]\n",
    "dataTypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Crear un [`DataFrame`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "priceTypes=['high','low','open','close','adjclose','volume']\n",
    "\n",
    "bmvIndexDataFrame=pd.DataFrame(\n",
    "    [\n",
    "        {k:dataRecord[k] for k in priceTypes} for dataRecord in bmvHistoricalPrices[bmvIndexTicker]['prices']\n",
    "    ],\n",
    "    index=pd.to_datetime(\n",
    "        [dataRecord['formatted_date'] for dataRecord in bmvHistoricalPrices[bmvIndexTicker]['prices']]\n",
    "    ),\n",
    "    \n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>open</th>\n",
       "      <th>close</th>\n",
       "      <th>adjclose</th>\n",
       "      <th>volume</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2022-05-10</th>\n",
       "      <td>49435.539062</td>\n",
       "      <td>49005.011719</td>\n",
       "      <td>49149.191406</td>\n",
       "      <td>49115.859375</td>\n",
       "      <td>49115.859375</td>\n",
       "      <td>257006900.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-05-11</th>\n",
       "      <td>49618.351562</td>\n",
       "      <td>49005.890625</td>\n",
       "      <td>49087.261719</td>\n",
       "      <td>49276.230469</td>\n",
       "      <td>49276.230469</td>\n",
       "      <td>234792100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-05-12</th>\n",
       "      <td>49732.050781</td>\n",
       "      <td>48701.250000</td>\n",
       "      <td>49061.121094</td>\n",
       "      <td>49309.320312</td>\n",
       "      <td>49309.320312</td>\n",
       "      <td>249591800.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-05-13</th>\n",
       "      <td>49726.519531</td>\n",
       "      <td>49127.289062</td>\n",
       "      <td>49486.109375</td>\n",
       "      <td>49579.898438</td>\n",
       "      <td>49579.898438</td>\n",
       "      <td>212868300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-05-16</th>\n",
       "      <td>50823.039062</td>\n",
       "      <td>49472.511719</td>\n",
       "      <td>49604.949219</td>\n",
       "      <td>50563.980469</td>\n",
       "      <td>50563.980469</td>\n",
       "      <td>177674700.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    high           low          open         close  \\\n",
       "2022-05-10  49435.539062  49005.011719  49149.191406  49115.859375   \n",
       "2022-05-11  49618.351562  49005.890625  49087.261719  49276.230469   \n",
       "2022-05-12  49732.050781  48701.250000  49061.121094  49309.320312   \n",
       "2022-05-13  49726.519531  49127.289062  49486.109375  49579.898438   \n",
       "2022-05-16  50823.039062  49472.511719  49604.949219  50563.980469   \n",
       "\n",
       "                adjclose       volume  \n",
       "2022-05-10  49115.859375  257006900.0  \n",
       "2022-05-11  49276.230469  234792100.0  \n",
       "2022-05-12  49309.320312  249591800.0  \n",
       "2022-05-13  49579.898438  212868300.0  \n",
       "2022-05-16  50563.980469  177674700.0  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bmvIndexDataFrame.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Este arreglo tiene las siguientes dimensiones:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3428, 6)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bmvIndexDataFrame.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Graficar:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([<Axes: >, <Axes: >, <Axes: >, <Axes: >, <Axes: >, <Axes: >],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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eeOIJY+/evdbt586dM55//nmjfPnyhru7u+Hh4WFUrVrVGDduXJ5WBPv++++NsLAww8nJyShbtqzxww8/GM8999wNV5FLTk423n77baNYsWKGi4uLUbNmTWP+/PlZ9s1YKe7TTz/Ncu7sVpEzDMP466+/jBYtWhju7u6Gq6urUb9+feOPP/6wqTNw4ECjdu3aRqFChQxnZ2ejVKlSxhtvvGFcuHDhhte8bt06o379+oazs7MRGBhovPPOO8a3335rs4pchvnz5xvNmzc3vLy8DGdnZyMkJMTo3LmzsXz58hue52ZkXkUuN9evItelSxfDzc3NOHToULb127VrZ3h5eRknT540Fi5caADGRx99lG3dX375xQBsVjsEjKZNm+b7ekREROTGTIahDIgiIiIiIiIiInLzlINJREREREREREQKRAEmEREREREREREpEAWYRERERERERESkQBRgEhERERERERGRAlGASURERERERERECkQBJhERkXvQiBEjqFixImazGYCzZ88yePBgGjRoQOHChfHy8qJWrVp8++23pKenZ9k/Pj6e119/naCgIFxcXKhevTo///xztufatm0brVq1wsPDAx8fHzp16sTRo0ez1IuMjOSVV16hVKlSuLq6EhISQu/evTl58mSeryuv7TIMgwkTJlC+fHmcnZ0pWrQo/fr1IyYmJs/nmjZtGk8//TTlypXDzs6O0NDQbOutXr0ak8mU7b8NGzbk+Xw343a8r+np6YwdO5aHH36Y4sWL4+bmRoUKFRg4cCCXLl2yqXvo0CHefvttatWqhY+PD76+vjRq1Ig5c+bk6zry+r4+//zz2b7O5cuXz/O58vq+5nSu7N7bJk2a8Prrr+frmkVERB40Dne6ASIiIpI/ERERjBkzhilTpmBnZ7lXtHXrVqZNm0bPnj354IMPcHR0ZNGiRfTr148NGzbwww8/2ByjU6dObN68mY8//piyZcsyY8YMunXrhtlspnv37tZ6Bw4coFmzZlSvXp1ffvmFpKQkhgwZQuPGjdmxYwf+/v4AJCcn06RJE2JiYhg+fDgVK1bk4MGDDB06lCVLlrB//348PT1veG15bdfbb7/N+PHjefvtt2nVqhX79u1jyJAhbN68mfXr1+Po6HjDc02fPp3IyEjq1q2L2WwmNTU11/qjRo2iefPmNmWVK1e+4XkK4na8r1euXGHYsGF069aNPn36ULhwYbZt28bIkSP5448/2LJlC66urgAsXbqUBQsW0KNHD+rUqUNaWhqzZs2iS5cuDB8+nCFDhuTpOvL6vgK4urqycuXKLGV5ldf39YMPPuCll17KUv7YY4/h7OxMnTp1rGUffvghrVu3pl+/fpQrVy7PbREREXmgGCIiInJPGTBggFGsWDEjPT3dWhYdHW2kpKRkqfvyyy8bgHHy5Elr2YIFCwzAmDFjhk3d1q1bG0FBQUZaWpq1rEuXLkbhwoWNy5cvW8uOHz9uODo6GgMGDLCWLVu2zACM77//3uaYM2bMMABj3rx5N7yuvLbr9OnThr29vfHqq69me65vv/32hucyDMPm9Wvfvr0REhKSbb1Vq1YZgDF79uw8HfdWuh3va1pamnHhwoUsx5w9e7YBGNOnT7eWnT9/3jCbzVnqtm/f3nBzczOSkpJueA356W/PPfec4e7ufsNj5iav72t2Vq9ebQDG4MGDs2yrXLmy0bdv3wK1TURE5H6mKXIiIiL3kJSUFCZNmkT37t2to5cAChUqlO2onbp16wJw+vRpa9mvv/6Kh4cHXbp0san7wgsvEBERwcaNGwFIS0vjzz//5Mknn8TLy8taLyQkhObNm/Prr79ayzLO7e3tbXNMHx8fAFxcXG54bXlt14YNG0hPT6ddu3Y29R599FEA5s6de8NzATav3+20ZcsWnn76aUJDQ3F1dSU0NJRu3bpx4sSJG+57O95Xe3t7/Pz8cjzmqVOnrGWFCxfGZDJlWzcxMZHo6OgbXkNe23WrFOR9nTRpEiaTiV69emXZ1qNHD2bMmEFcXFxBmiciInLfUoBJRETkHrJx40YuXryYZapWTlauXImDgwNly5a1lu3Zs4cKFSrg4GA7U75q1arW7QBHjhzhypUr1vLr6x4+fJikpCQAGjVqRK1atRg2bBibN28mPj6ebdu28f7771OzZk1atWp1w7bmtV0pKSkAODs729RzdHTEZDKxa9euG57rZrz88ss4ODjg5eVF27Zt+fvvv/O03/HjxylXrhzjx49nyZIlfPLJJ5w9e5Y6depw4cKFm2pLQd7X3I4JUKlSpRuef9WqVfj7+xMQEHDDuvlt15UrVwgMDMTe3p7ixYvzyiuv5CmQVVCXL19mzpw5tGzZkpIlS2bZ3qxZMxISEli9evVtb4uIiMi9SDmYRERE7iHr168HoGbNmjesu3TpUqZPn85rr71mM2Ll4sWLlCpVKkt9X19f6/bM/2eUX1/XMAxiYmIoWrQoDg4OrFq1imeeecY6EgYsX8rnzp2bp5xIeW1XxYoVAVi3bp1NoO2ff/7BMAxrvVvF29ub1157jWbNmuHn58fhw4f59NNPadasGQsWLKBt27a57t+5c2c6d+5sfZ6ens6jjz5KkSJFmDFjBv37989Xewr6vmbnzJkzDBw4kNq1a1tHguXk+++/Z/Xq1Xz++efY29vfsL35aVe1atWoVq2aNbfVmjVrGDduHCtWrGDz5s14eHjc8Hw3a+bMmVy5coXevXtnu71GjRqYTCbWrVvHY489dtvaISIicq9SgElEROQeEhERgclkonDhwrnW27ZtG0899RT169dn9OjRWbZnN+0pp215qZuamkrXrl3Zs2cP3333HeXKlePYsWOMHDmS1q1bs3LlSry9vTEMI8vqZ5lHtuTlXNWqVaNJkyZ8+umnlCtXjtatW7Nv3z5eeukl7O3tbaZIpaenYxiG9bmdnV2+p1DVqFGDGjVqWJ83btyYjh07UqVKFQYMGHDDAFN8fDwffvghc+fO5fjx4zbXv3///ny15Va+rxmio6Np164dhmEwa9asXF+fRYsW8fLLL9O5c2deffVVa/mteF8B3njjDZttrVu3pkaNGnTu3JnvvvvOuv1WvK/XmzRpEn5+fnTs2DHb7Y6Ojvj4+HDmzJkCnUdEROR+pSlyIiIi95ArV67g6OiY68iR7du307p1a8LCwli4cGGWqWR+fn7ZjmbJmIaUMbIkY3RMTnVNJpM1x9KkSZNYtGgR8+bNo0+fPjRu3JiePXuyePFitm3bxvjx4wHLiBRHR0ebf8ePH89XuwBmz55No0aNeOqppyhUqBDNmzenU6dOVK9enWLFilnrlS5d2uZcI0aMyPF1yw8fHx8effRRdu3axZUrV3Kt2717d7788kv69OnDkiVL2LRpE5s3b8bf3/+G+2Z2q97XzGJiYmjdujVnzpxh2bJl2Y40yrBkyRI6depE69at+emnn2wCQ7fqfc1Ox44dcXd3Z8OGDdayW/2+7tq1iy1btvDss89meV0zc3Fxydd7JiIi8iDRCCYREZF7SOHChUlJSSEhIQF3d/cs27dv306rVq0ICQlh6dKlWZJuA1SpUoWZM2eSlpZmM8pk9+7dANbpSaVLl8bV1dVantnu3bspU6aMNXn3jh07sLe3zzJ1r1SpUvj5+Vnz7NSqVYvNmzfb1AkKCspXuwACAgJYuHAhUVFRREZGEhISgqurK//73/9spqP98ccfJCcnZznXrZAxgia30TmXL1/mzz//ZOjQoQwcONBanpycnK+8Qrfyfc0QExNDq1atOHbsGCtWrMg211aGJUuW0KFDB5o2bcrcuXNxcnKy2X6r3tecGIZhM0LpVr+vkyZNAqBPnz651ouJibnh6EEREZEHlUYwiYiI3EPKly8PWBJwX2/Hjh20atWK4sWLs2zZMgoVKpTtMTp27Eh8fHyW1damTp1KUFAQ9erVAyxTnB577DHmzZtns3LWyZMnWbVqFZ06dbKWBQUFkZ6eniXIcOjQIS5evEjx4sUB8PT0pHbt2jb/MoIVeW1XZgEBAVStWhVvb28mTpxIQkICr7zyinV7lSpVbM51qwJMMTEx/Pnnn1SvXj3XFfJMJhOGYWQZFfP9999nmVKWk1v9vma0v1WrVhw9epSlS5faTAG83tKlS+nQoQMPPfQQ8+fPz3aEz61+XzObM2cOiYmJ1K9f31p2K9/X5ORkfvzxR+rWrZtrsCsiIoKkpCRrDjARERGxpRFMIiIi95BmzZoBsGHDBpsRJwcPHrSu1PbRRx8RHh5OeHi4dXvp0qXx9/cH4JFHHqF169b069eP2NhYypQpw8yZM1m8eDE//vijzfS74cOHU6dOHR599FEGDhxIUlISQ4YMoXDhwrz11lvWei+88ALjxo3jySefZPDgwZQrV46jR48yatQo3N3deemll254bflp13fffWe9rkuXLrFo0SImTZrEqFGj8pQAHWDfvn3s27cPgMjISBITE5kzZw5gSSSeEUjo3r07JUqUoHbt2hQuXJjw8HD++9//cu7cOaZMmZLrOby8vKz5ogoXLkxoaChr1qxh0qRJ1umFubkd7+uVK1do27Yt27dvZ/z48aSlpdlMP/P396d06dIA/P3333To0IHAwEDef/99duzYYdO+ihUr4uXlles15LVdJ06coHv37jz99NOUKVMGk8nEmjVrGD9+PJUqVbrh6KIMeX1fM8yfP5/o6OgbHj/jNcrrCo4iIiIPHENERETuKY0bNzbatWtnUzZ58mQDyPHf5MmTberHxcUZ/fv3NwIDAw0nJyejatWqxsyZM7M935YtW4yWLVsabm5uhpeXl9GhQwfj8OHDWeqFh4cbPXr0MEJDQw1nZ2ejRIkSRteuXY29e/fm+dry2q5vvvnGqFChguHm5mZ4eHgYjRs3NubPn5/n8xiGYQwdOjTH12vo0KHWeqNHjzaqV69ueHt7G/b29oa/v7/RsWNHY9OmTXk6z+nTp40nn3zSKFSokOHp6Wk8/PDDxp49e4yQkBDjueeey3Xf2/G+Hjt2LNdjZm5Tbq8RYKxatSpPr0Fe2hUdHW107NjRCA0NNVxdXQ0nJycjLCzMGDBggHHp0qU8nedGbc78vmZo3bq14e7ubsTGxuZ63B49ehhVqlTJcztEREQeNCbDyLQEh4iIiNz15s6dS9euXTlx4oRNQmsRuT1iY2MJCgpi3Lhx9O3b9043R0RE5K6kAJOIiMg9xjAMGjZsSK1atfjyyy/vdHNE7nvDhw9n1qxZ7Nq1yyZRuYiIiFyjJN8iIiL3GJPJxHfffUdQUBBms/lON0fkvufl5cWUKVMUXBIREcmFRjCJiIiIiIiIiEiBaASTiIiIiIiIiIgUiAJMIiIiIiIiIiJSIAowiYiIiIiIiIhIgSjAJCIiIiIiIiIiBaIAk4iIiIiIiIiIFIgCTCIiIiIiIiIiUiAKMImIiIiIiIiISIEowCQiIiIiIiIiIgWiAJOIiIiIiIiIiBSIAkwiIiIiIiIiIlIgCjCJiIiIiIiIiEiBKMAkIiIiIiIiIiIFogCTiIiIiIiIiIgUiAJMIiIiIiIiIiJSIAowiYiIiIiIiIhIgSjAJCIiIiIiIiIiBaIAk4iIiIiIiIiIFIgCTCIiIiIiIiIiUiAKMImIiIiIiIiISIEowCQiIiIiIiIiIgWiAJOIiIiIiIiIiBSIAkwiIiIiIiIiIlIgCjCJiIiIiIiIiEiBKMAkIiIiIiIiIiIFogCTiIiIiIiIiIgUiAJMIiIiIiIiIiJSIAowiYiIiIiIiIhIgSjAJCIiIiIiIiIiBaIAk4iIiIiIiIiIFIgCTCIiIiIiIiIiUiAKMImIiIiIiIiISIEowCQiIiIiIiIiIgWiAJOIiIiIiIiIiBSIAkwiIiIiIiIiIlIgCjCJiIiIiIiIiEiBKMAkIiIiIiIiIiIFogCTiIiIiIiIiIgUiAJMIiIiIiIiIiJSIAowiYiIiIiIiIhIgSjAJCIiIiIiIiIiBaIAk4iIiIiIiIiIFIgCTCIiIiIiIiIiUiAKMImIiIiIiIiISIEowCQiIiIiIiIiIgWiAJOIiIiIiIiIiBSIAkwiIiIiIiIiIlIgCjCJiIiIiIiIiEiBKMAkIiIiIiIiIiIFogCTiIiIiIiIiIgUiAJMIiIiIiIiIiJSIAowiYiIiIiIiIhIgSjAJCIiIiIiIiIiBaIAk4iIiIiIiIiIFIgCTCIiIiIiIiIiUiAOd7oB9wOz2UxERASenp6YTKY73RwRERERERERkVvCMAzi4uIICgrCzi7ncUoKMN0CERERBAcH3+lmiIiIiIiIiIjcFqdOnaJ48eI5bleA6Rbw9PQELC+2l5fXHW6N3CtSU1NZunQpbdq0wdHR8U43R+5B6kNSEOo/UhDqP1JQ6kNSEOo/UlDqQ/kTGxtLcHCwNfaREwWYboGMaXFeXl4KMEmepaam4ubmhpeXl36pyU1RH5KCUP+RglD/kYJSH5KCUP+RglIfujk3SgmkJN8iIiIiIiIiIvnw86aT1P1oOX/sjLjTTblrKMAkIiIiIiIiIpIPA+ftJioumVdnbudKSvqdbs5dQQEmEREREREREZEbSE5L53+rDxM6cIFN+Z6Iy3eoRXcX5WD6l5jNZlJSUu50M+4pjo6O2Nvb3+lmiIiIiIiIiDB/+xnGLD6YpXztofPUCfW9Ay26uyjA9C9ISUnh2LFjmM3mO92Ue46Pjw+BgYE3TCYmIiIiIiIicjsdvZBgfVyuiCePVAlk/PJwvlh5mAal/AjwcqZMQO4rrd3PFGC6zQzD4OzZs9jb2xMcHIydnWYl5oVhGCQmJhIVFQVA0aJF73CLRERERERE5H6Smm5m/7lLBBdyo5C70w3rR15OAuD9duV5sUlpUtLMjF8eDkD37zdib2di9dvNCPZ1u63tvlspwHSbpaWlkZiYSFBQEG5uD2Ynu1murq4AREVFERAQoOlyIiIiIiIiUiAJyWnYGWYSUqHisOUAVC3uze+vPGStExWXxP9WHaFdlaIcv5DAgLm7bI5R1NvyXdXJwY5ejUryw7pjAKSbDf45coGuviX+pau5uyjAdJulp1uyyTs53TgaKlllBOVSU1MVYBIREREREbnPbT4ezbxtZ3ilRRmK+bje0mOfik6k8ZhVV59dC4fsOn2Z6IQUfN2d2BcRS7sJfwEw5Z/j2R6nqLeL9fGQxyrSrkogny45yMZj0ew4dYmudR7MAJPma/1LlEPo5uh1ExEREREReXD0nLSJmZtO8sWK8Bzr/BV+nj5Tt/DzppPWMsMwcj1uutngvXm7c9y+9+pKcMv3n7thGwMzBZgAaof68nLzMgDM3HSKRbvP3vAY9yONYBIRERERERGRO8owDL776yhXUi2zgH7efIrOtYpzKTGVRmUK4+p0bUbLW7/sJCoumeX7z3Hm0hW61Aqmxw8bKertwsy+9bMMVDgXm0T90SvIHIOyNxlgssPezkRKmpk9Z2KpE+rLmkPns7TNy8WBt9uWY8X+KJwd7AjyzjqyqklZfxqHFeav8Au8NXsnTcr64+78YIVcNIJJstWsWTNef/31HLebTCbmz5+f5+OtXr0ak8nEpUuXCtw2EREREbl5hmGw9UQMc7ee5kpKOoej4jgcFWfdFhWXRLo595EAIiLZSTcb7Dh1CfMNfoeYzQbfrj3CzE0niU1K5fiFBEq+t5BRCw/Y1Os8cT19pm3h7dk72RtxmaTUdBbviSQqLtla54uVh2ny6SpOXExkw9Fo3p696/rTMWfraWtwqX4pX8I/bMPY+ukcGN6at1qXBWDB7giqDlvK1hMxgCUvU4YW5QPo2SCUqb3q8m3P2tjZZT/TZuxT1QFITEnnh7+P5f5i3YcerHCa3DJnz56lUKFCd7oZIiIiIpIPqw9G8fzkzdbnb83eaX3s5GBHSprZ+nxCtxo8Xi3oX2vbpcQU0s0Gfh7O/9o5ReTWmrjmCJ8uOQjAT33q0ahM4WzrzdpyyhpMun7aWrNy/kQnpLDr9GVr2YLdZ1mQzbSzwh5OXIhPsSmbu+00SWnpvNysDL/tPMP52GTmbT9j3T6qYxWb+g9XDmT0ogPsORNrU/7LfxpQ/oPFALjlcSSSv6cz/2lSim/WHuXX7Wd4tWVYnva7XyjAJDclMDDwTjdBRERERPLhnyMXbIJL18scXALoP3M74efieLZ+CCYT+Lk7s2RvJAt2n6V/izDKBXpiNhs53snPj5UHztF76hYMAxqU8mPmi/ULfMzbJS3djAE42msyiEhmL07bwtJ91/IXPfP9Rn54vjYujvZUD/bBMMDd2QHDyD0X0viu1fF2deTRL/5m39lYckqttP69Fni6ONL8s9U42pn47KlqdP9uIwALdp1lwa6sAanve9amlL8Hqamp1rIQP/cs9b7sXgMXR3vebF2WmZtOWvMr5cV/mpbmm7VHOXohgdEL92MymehYoxjlAj3zfIx7lX4rSo7MZjMDBgzA19eXwMBAhg0bZt12/RS5f/75h+rVq+Pi4kLt2rWZP38+JpOJHTt22Bxz69at1K5dGzc3Nxo2bMjBgwf/nYsRERERuQ8YhsG52CQMwyApNZ2zl6/kaZ9xyw5Zv3gBlPJ358MnKtGkrD/Vgn1s6reuWMT6+IuVh6k3agV1P1pB6fcX8n8/bWPBrrO0Hb+WKsOWUOr9hYxauP+GyXWvZzYbnE2Ev8IvYBiGzfSV9Ucvcio6MV/Hu13SzQZms2G9vtikVNpP+JvaI5dzOTH1BnuL3N+upKRbA9PHLyTYBJcy9Jqyhe7fbaTikCVUGrqEgXN30WXieuv2Er5u+Lg5ArD0jSYc/7g9Pm5OmEwm5v1fQ/YOb8t/mpQCICzAw7rfyA6VKertioezA6vfbsbyt5rSsHRhdg5pk2N7SxV2p0X5gGy3TetV1/p4br8GPFrVMnqzf8sw/hnYIl+r2fm6O1Ha3xK0+mbtUSauOcL+s7E32Ov+oBFM/zLDMKxJy/5tro72+VqVberUqbz55pts3LiR9evX8/zzz9OoUSNat25tUy8uLo7HHnuMdu3aMWPGDE6cOJFj/qZBgwbx3//+F39/f1566SV69erFunXrCnJZIiIiIve1uKRU/g6/QOOy/vy86SQjF+ync63iLN9/jkuJqTxZszjvtC3HpuPR1AkthKO9HYUzTTObs/U0n2dajWnDey2tKyD1aBCK2Wyw7sgFapYoZE1IezE+mVojl9+gXWkAfLv2KBWKetKxRvE8XU9KmpmOEzew76wD7NxGy/IBrDgQZVPnxw0neK9dhTwd73aYv/0Mr8/aYX1eyt+dX/7TgKe+Wc/R8wkADPtjL6+2KMP0DSeIiktm4e6zGAZ0rR3Mx09W0WrIcl+7fCWVR8avJeJyUpZtzzcMpXZoIV6ZsT3Ltp83n7I+frRqUb7sXjPHczg7WJJ6D3i4PB1rFqNcEcsIoNikNLxdHa31MifS9nZzZOVbTXl15nb2RliCOmUCPJj/ciM8cpnm1qSsP8vfbIqLox3FC7nZbLuZn+WShd05cvV3BZDjVMH7jQJM/7IrqelUHLLkjpx734i2uDnl/S2vWrUqQ4cOBSAsLIwvv/ySFStWZAkw/fTTT5hMJr777jtcXFyoWLEiZ86coW/fvlmO+dFHH9G0aVMABg4cSPv27UlKSsLFxSVLXREREZEHUWxSKjM3nmT21tMcPR9PRq7cEr5unLw6smfO1tPW+nO3nWbuttPZHYqShd05duHal5yPOlbOsry2nZ2JxmH+NmV+Hs7MeakBE1Ye5vC5OB6tFkRMQgoBXs50rFGM9+ft4cylK5y5ZBlBNfWfEwR6uWJvZ6JuSd9cr2/a+uPsOxtnfZ4RXAryduH99hV4ZcZ2pq0/gclkwtnBjpYVAqha3CfXYwKcik4kNimVSkHeN6x7vbR0MyP+3Meu05cZ37U6oxbut9l+9HwCzT5dTXxymrXs1+1n+DVTXpcMs7acol+z0oQWzjrtRuRelppuZsbGkwz9fS+1QwplG1x6v115XmxSGoDaIb6cj0vGZIIekzYSc92ov1db5C0/kb2difKBXtbnmYNL2Snl78GPvetR+6PlpJsNRjxeKdfgUoYymUZIFdRDZQqzfL/ld1v5QE/8PR+M3HIKMEmOqlatavO8aNGiREVFZal38OBBqlatahMkqlu3bpZ61x+zaNGiAERFRVGiRIlb0WQRERGRbE1bf5wV+6P4tHNVArzyfmMrNikVO5MJD2cHohNSSEs352v/DIZhEJ2QcsME1mnpZpqMWcWlbKZfnbyJaWMZwSWTyTJyqUg+2l471Ndm2khmv7zUALg20mfHqUt0+24DDnYmlr/ZNNvgyuGoePrP3M6+q1NFSnsaHImzjAxoUMqPyS/UwdnBjvEB4RyOimfimiMAfL4inDGdqxLo5cKnSw7yRPUg+jQuZT2u2Wwwce0Rxiy2pF6oV9KXn1/Mukx5bn7bEcG09ScAaPbZ6mzrZASXGpTyo4iXM/N3RFi3OdiZSMu0ataGoxcVYJL7yuwtp3hnzrXV2bZcXWntejVLXFsIKtDbxRrQ/mdgS978ZQeL9kReredjM+XtVivk7sRvLzfiVHQiDUr73bbz5KRVxSKMWniAlHQz/R+gRN8KMP3LXB3t2Tei7R07d344OtpGhk0mE2azOUs9wzCy/AHPaR5+5mNm7JPdMUVERERulX+OXGDIb3sBqDtqBS83L82rLcJwsrezSVA9YUU4f4Wfp2wRTy5fSeVkdKJ1FaPeD5Xkj50RJKeZWfFWU5spaHnx48aTfDB/D+O7VqdDjWJcSkzB29Uxy2eo2VtPZxtc+rF3Pfr/vJ3ohBQ+ebIKHs6OmA0DJwc7/jN9KwCdahQj3TBwc3Jg5YFznIu1LOMd7OvKgLbl8xVcyqvHqwWx4ehF67SXNLPBiD/34eXigJuzAyOfqIydnYnPlhzky1WHrfu5ONrRvUwKXx1yxdfdmR/71MP+6ntRtbg3h6Pibc4zeP4ea66X3Wcu07ZSIMG+bqSlmxny+15mbDxprbvxWDQl31vIe4+U5z9NS+fpOg6fj89SVqqwOyM7VGZN+Hm+WXPUWl412JsGpfysAaYyAR4se6MJ0QkpTP3nOBNWHmbgvN38suUUQx6rRPXrclyJ3M22nojh0Lk4utYOxs7OxNytp/ly1WGbkZCZlfJ3p1udEhQr5MqZmCvUCsl+pXFXJ3u+frYWKWlmHO1N/8oU0srFvKlcLP8jGm+F4oXc+LP/Qzja21HyAQo2K8D0LzOZTPmapnYvKF++PD/99BPJyck4O1s+bG3ZsuUOt0pEREQeVGnpZuZtO4OHiwPtqhRl+tWRKRm+WnWEr1YdoYiXM9/3rENoYTee/X4jO68GkzYfz3pnftLfx6yPF+2JpEf9kHy16YP5ewB4fdYOAjydeWbSRuqE+PJRx8r4ujtxOCqemZtO8vfhi9Z9vuxeA38PZ6oW98HVyZ4VbzbFbBg2o6AMw+Ddh8tTrbg3DW1yfFiW4b5Vq7zlxM7OxKiOVUi5+poDrMyUT+lQZByfd6thE1wC+Lp7DWIPbWTDu81wcHC0aWOQ97VkusV8XDkfl5xlhbufN5/kleZhfLP2iDW4VCukEFszjaqY+s/xPAWYohNS+PG6PtK+alH+26UaLo72NCxTmIfKFKbHpE0APFsvhGBfN2a/1ICzl5OoV9IXk8mEn4cznWoWZ8JKy7VuO3mJDl+tY/mbTSgTcP+vHiX3vu//OsrIBZbpoZcSU5m37TTh1wV7a5bwoXOtYEb8uZfWFQP5oluNfJ3DyeHBWWesbJEH7+f+/op0yB3RvXt3Bg0axIsvvsjAgQM5efIkn332GXBzCdFERERECuKVGdtZvNcyDaNb3WBWXM2D8VmXarw9e6e13rnYZF6ZuY03WpW1BpfyIjKbldu2HI/GxdE+T3fLu39vWc1t0/FoWo9bm22dH3vX46Ew26SwhdydstQzmUz0a5ZzEOV2Bpcyn2PsU9UZ+1R13pm9k9mZ8kNtORFDo49XWp/vHNIGbzdHUlNTWXjI0v7r29ihRjFrQGrsU9VYuu+cTYAPLEHCNYfO4371xq2Lox2zXqxPeFQ83649yq/bzxBxOYnElLRsb+4ev5DAlhMxPF4tiJd/2kbc1elvY5+qRscaxbJ8hm0c5s//nqmJt6sjwb6WBMB1QrPmmgot7M7g9hWsX9IBWo1dy9FR7f6V90LkZp25dIUxS66t8P3J4gNZ6rg42jHv/xoB0KlmMZwfoGCR5I16hBSYl5cXf/zxBzt27KB69eoMGjSIIUOGACh5t4iI3Fb5XRpd7n9L90Zag0sAMzedIiXdTI0SPjxZsxhL32hiU//ExUTGXPdFqnIxL+b2a8DnT1dn17A2HB3VzmaJ6sQU2xWB/7f6MJ0nruepb9Zb8/QkpqTx86aTXIhPJjXdnO8vYmUDb19ukttpTOeqLHujCYc/eiRLwtzFrzfG2y335LxgmXJ2dFQ7dg5pQ71SfvRtXIo2FYsQ4ufGgv4PWd+LPWdi2XgsGoDJz9fFwd6OCkW9GNe1unXZ84pDlvDlynCb3xVms0G37zbw9uydlB28iPVHr40aC/Fzz/EGabsqRfO0ElSfxqU4MqodvRqVtJadiE7khcmb6DttCwmZEoWL3C5p6Wbenr2TsUsPkpCcRlp6zmlJDMNg6G97SUkzE+zrarNtcPsKTO9dFw9nBwY+XN5a7pLPFcrlwaARTJKt1atXZymbP3++9fH1H+gbNmzIzp3X7gj+9NNPODo6WpN3N2vWLMs+1atX1xcDEfnXZZc3Tu49KWlm3v91N3/uiuClpqWpFORNrZBC+GYzwuNuYxgGaWYDR/sH9z5fVFwS/h7OrDwQRVRcsjXXR24SktNYcSCKIp7OvDt3F/VK+vFJ56qcik7kSmo6E9ccYc+Zy1ly94BlxaGvn6mFyWSibBFPjn/cHoBZm0/y7tzd1pWQnmsQwvAnKlv3q5VpFtycfg14afpWdp6+zJHzCdbfJYZh8O1aS36exJR0tp2IoUlZf96ft9uSo2febusxHO1N1C/lx1/hF3C0t0wtS0ozs3RvJPVL+dG9bglGLdxPES8XAjzvzZt0JpOJsKvTQhb2b8y6IxdYf+QidUJ9bVaBuhE7O5M1GBXo7cK3PWtbt83p14AOX62z5pgCsuQ46V63BP9bbUkS/tnSQ3i6OPJcw1AA9kbEcjab1a8Gt69AzRI+eW5jbuztTAx5rCIrDpzjxMVEOn/9DxcTUgDLqnmPVwu6JecRycmqg+etq01OWHmYUD83lr3ZNNu/PeuPXmT5/nMAfNGtJhfikukzbQuNwwpbE+rvGtpGo/DkhhRgklti2rRplCpVimLFirFz507effddnnrqKVxdXW+8s4jIv2TxnkjenbuL0MLuvNm6LE3L+t94J7nrHDkfz7Pfb7R+QRy/PByAskU8+PPVxnd1foeE5DR6TdnMgcg4lrzexLq6Tm6Bz8tXUrmSkm6ztPyxCwm4Odnf0qTNJy8m4uxod1sSQWe2+mAUz0/ebFP25crDLOj/EJ8sPsj6Ixc4fjGRQC8XRneqwh+7IohPSmPHqUtExV0LKBy/mMipmET+OXLx+lPwcKVAJnSrwe87I9h/NpYnaxa3ef0ydK4VzOhFB6xJtXOb3lbU25XHqgWx8/Rl1h46z4LdZ2lfpSjbTl6yScq96/QlFu05a7PCWIaXmpbmrTblSEkzcyU13brUduZ8Tp92qZZjG+41Tg52NC8XQPNyAbf0uEW9Xfn73RaMXXaIpXsjqRVSKMv7O+Dh8vi6O1mnqg39fS+frwhn4/st+e+ygzZ1ezUqycBHyt+W3x31S/px4mKiNbgEcDkxJZc9bp+k1HTOxyUT6O1yXwW41x46zwe/7SEmIYV1A1vg6eJIutkgMjbJZuThg2bF1YBRhuMXE4m4dIUQP9tg7IX4ZEb8sQ+A8oGe1qT0f7zyEGFFro1CVHBJ8kIBJrklIiMjGTJkCJGRkRQtWpQuXbrw0Ucf3elmiYiQlJrOL1tOcTAyjp+uJoLdeeoSz/2wiXfaluPl5mXucAslrwzDoP/PO/hjZ9Yv7gCHzsUzf8cZaoUU4kpKuk2wICo2iY3Hognycc1xhZvb5cTFBKb8c5x1hy9w6Ny10TX1R6+gVGF3Ll1JJd1s8GKTUvynSSk2HoumbklfTMC45Yf4apVlFIa7kz3/DGxJy7FruBCfTCE3R9YMaM7UdcdZvDeSp2oHW0do5MeF+GQuxqfQ4at1mEzw+dM1aF2xyC26+mv+Cj+PCROrD57Psu3MpStUH7HMpiwyNokXpmzOUjez7IJLAMMer4STgx2daxXPdX97OxPP1gvhy1WHqVnCh0eqFM21vpfrteldr8zYzitsz1Lns6WHst23a+1g61LVTg52d3Ug9F7gaG/Huw+X591MU3au16dxKR6rFkS9USsASzLvsEGLrNuXvtHktifhfefhcszacsqm7PoplreTYRi8/+tuNh6N5kR0Iulmy+yBb3vUonXFIvfUiN6UNDM7T1+ianFvmzwvny45yImLiQA0+nglLcoHWAO8j1cLYvjjlbLNX3Y/m7P1tHVlx8zmb4/gtVZhxCSksOHoRbxdHa054QC61ythfVyl+J1ZfU3ubQowyS0xYMAABgwYcKebISJilZpuZs7W07yXaXoKgKeLA66O9kTFJfPpkoMcu5DAay3DrElb5e5xKTGFrSdisLMzcT42mVGL9tuMFKkb6suoTpU5EBnHvohY/rf6CAPm7LJu/2dgC4J8XElJM9Nuwl9ciE/BzgT/e6YWFxOS+efIRRqW9uOJ6sXwcL49H4kMw+DdubvYcDQ62+1HMy37/OmSg3yaKcFqjRI+bD95yfo8ISWdaiOWWp/HJKbScPRKa86fob/vpUFpvzx9YU43G0QnpPDTxhPWEWAZ+k7bQtfawWw+Hs2bbcryaNWCT+XZc+aydQWuzN5sXZZ1hy9Y8+jkRflAT+xMJvadjc2y7aEyhenZICTb0Uo5eaN1WXo0CCHA0/mGX7bbVgpk7NJDRMZmnV5VJ7QQW07EkHn2//c9a1PI3YnqwT7Y6+7/HVHEy4UPO1S2ruKX2b+xwlNhD2eqFPNm95lrSeRvJsB0s9O714ZfYOamrIGGF6dvZUK3GvfUVL0P/9zH9A0neK5BCO+2DWPHRROzp261eW1jk9JsRg/+vjOCf45cYOFrje/Zaac3kpxm6U9O9nas2B9FhSAvm8UMBjxcjn0Rsfy56yzjlh+idIA745Yd4sj5hCzHqlrc599qttynFGASEZH70ieLDvD9dasOje9anSeqB3E4Kt66ctOcraeZs/U0U16ow67Tl4lOSOHZ+iUoE+BJdEIK6w5f4FRMIkv3nuOhMoV5q03Ze+qO771o+b5z9Jm2Jcft/2lSivfaVbA+LxPgSdOy/izZG2nzgfnr1Uf4sENlDkbGcSHeMiXFbED/mdtJuZrsdMGus/x16AITe9S66fYu23eO7/46SqcaxehYsxgzNp7ktx0RlPb3oEyAR5bgUqnC7hT2cGbT8eir7fcgMTnNmgcoQ0ZwqX4p3xwDVPHXJQs+HBWf7ZfmzEvVn49L5tEv/rLJX3O9jBEXr8zYzpK955jwdPU89/s9Zy4TFZdEi/LXRkHNybSqWIbpvevSOMyfp+sG0+3bDVxMSGHsU9Ws+60/cpE/dkXwWNUgTCbLyMPHqwdR1NuVmIQU2oxfi9ls8FSdYL5efYSW5QOY9HydPLUxM3s7U56nBXq7OrJmQDMe+mQV5+OS8XRxIC4pDT93J/6veRkuJ6YyYM4uUtLN/PZyI6pdnWoid1aP+iH0qB/C85M3WUfQLbsu2fvtlGa2zTm6NyLvKxYCzNx0kiG/7aFikDcfdajMf5daAtFfP1sLF0d7UtPNONiZsv0Z3Xxd8Nbb1ZHLVyyB+g//3EfdUN98BWRvl3SzwbT1x7EzmehRPyTLdKz1Ry4yfcMJAKauP8HU9ScAe8AyitHX3QnDMIjJdBMiw4X4FP7ceZZeD5XMsu1el5CcRquxa/DzcOLJmsUZ/sc+Slx3w6xNxSJ4ujjy566zgOX3ek6q5GEVTJHcKMD0L1Ey65uj101E8uPz5eGMW36IdlUCWbj72ipSwx6rSOtKgdZcDGFFPBndqYrN6KbMOWHWHjrP1F51aTNuLVdSr91p3nHqEsG+rnStc20Iudwa0Qkp/LbjDBPXHMk18DG+a3XaV806jcnTxZE/X21MhSGLrWUrD0TRbP85ek+1BKtqhxQiPjmNA5FxNvsu3hvJkfPxlPbP/6pdiSlp9L0aDNt0LJqBmfrUjlOXrI9fbxXGf5qUxtXJ3lpmGAbJaWZcHC1lE9ccYePRi+yJiMXZwZILqV2VovRqFIrJZCI13czByDhCC7tzKTGFhz5ZZT1WycLuHLuQQP+Zli8O1YJ92HDkIu2rFuX3HREMmLuLfs1KM6BtOYb9sdfmNW5Wzh8/d2d83ByzLAUP8MfOCBqV9qNNpUDmbTtNUmo6xbydMWezIFFMQgqPfvE3AH+++hAHI+OYvfWUTYDMzmSZutSotGU1rgBPF1a81SzLsRqU9qNBaT/r8/qlrj0u5O7E8jeaAuDmbE+9kr7U/JemPjo72LOwf2NOXEygYpAXLg72GGAdofR4tSDlKrlL/e+ZmizaHUnbyoG3bdRiduKSbIMey/dHcebSlRvmB9p6IpqekzaRcHXE085Tl6w/XwBL9kZyOuYKY5cdomFpP6b3rmezf0qamS9XHQYsecmeqB5Es3IBGBh0+Godh87F03/mdp6oEUTEpSv0eagUhdydCD8Xx7A/9nIlJZ00s0FiSjqVg7xoUtYfTxdHWlUIyPeNlpMXE3F3tsfPw9laFpOQwvZTMXy+4jA7M/2+jLh8hQBPFy7GJ/NM/RCK+bgycc2RHI/t7+nMdz1r4+Jox4QV4Rw9n8CByDi8XBzo/VApxi0/xIoD5+7LANO2kzGcvZzE2ctJ7DljyaN0MjrRuv33VxpRJsCT4oXcOHwu7mpgzla3usGcj0vm1RZhGmkpBWYy9A2+wGJjY/H29uby5ct4edmujpGamsrhw4cJCgrC21sR4fy6ePEiUVFRlC1bFnt7+xvvcA9JTU1l4cKFtGvXDkfHGy/ZK3I99aFrktPSGb3wAFP+OW5T7u3qyNbBrXDIJplpfHIag3/dnW0iXoAutYozO5tRFz5ujgx7rBJPVA+6p0cyxSYksXLZEtq3//f7j2EY7Dp9mcrFvK0fZntP2cyKA1E29Z6pV4LohBT2n43lkSpFebFxqRvm0bgQn8yOk5d4a/ZO6136DJOeq83pmCsM/X0vYJnSZMnpcRmTyTKioVRhD+ZsO8209ce5kpLOzy82wN/TmZQ0M0cvxFPG3wMHezsuX0nlmzVHrKtU5aaQmyNbB7e+5UGHJXsj+XXbGT7sUJn45DTajltrHZmVkw+fqMSYxQeJS06jVGF3ejYIoWeDUGvbohNS+HTJQRJT0ni2fghdJq4HoFEZP1wc7G3eo6JuBqvfbYOzs+U9SUxJo+aHy0hKtbShQlEv9l83jW3V282yrPYlD6YH6W9YxmqFz9YvweqD5zkdc4UpL9Sh2Q2Sn3f/bkOOecayM/ulBtQJ9eXs5Sv8b9URjl1I4O/DFwD4olsNHss0He7kxUSafLrKZv/CHs5ciM85wJ/hnbbl6NkgBE+X3N+3KynprDwQxZerDtv8Liji5ZzrjYTrHf7oERqPWcXZy0kMbl+BPWcuW/92r327CSUK247aNAyDnacvU9jDidR0g+afrQYgLMCD99qVtxldea/7atVhm6nVmT1bvwQjO1SxKfv+r6OMXLCfmiV8CAvwpKiPS5abHw+KB+l30K2QW8wjM41gus0cHBxwc3Pj/PnzODo6YmenhI55YRgGiYmJREVF4ePjc98Fl0QkbzYfj+Z8XDJtKwXmelftv0sP2QSXCns4UbW4D51qFss2uATg4ezA+KdrMP7pGrw5awdnLyfxTc9ajPxzH79sOW0NLlUr7s3hqHjrHeRLiam8PmsHa8PPU8TLhb6NS+FbwOShsUmpzNh4kiNR8YzuVCXHNt+MM5eucCUlHTcne9ydHLC3N7F83znenbuLYq72NG+dxoFTsfi4OVEu8PbnIwEYOHd3lqS3mT1WLYjPu1a/qYBMYQ9nWlUswqB2FRgw91o+ptGdqtCifADJaWaOnI9n2b5z9H6oJOuPXGTn6csYhiUHUkxiKpsyTSn5du0RBrWvyJerDjNhRTjVg314uXkZ66ilDK0rFmHZPsuKPZ4uDvwzsAWv/byD0zGJ/PB8ndsyoqVtpUDaVgoELHfw1wxoRoPRK3Pd54PfLMG1IG8Xlr/ZNEu7fN2dGN3p2heSn/rU45nvN7LucNYvuWcTTfSato0f+9TDZDJxKvqKNbgEZAkuPVW7OKF+ynUmD56nagdTtbgPZQI8OBOzhdMxV9h8PJpm5QKYt+00C3efZVzX6jYBG7PZsAn2fNujFpevpFLU2xUDI9ucZjM2nqROqC8fzN/D8v22AftWFWyDKiX83KwjHzPkJbgElt+Vi/ac5Y9XHsr2RothGGw7GUPvqVts8uZlyC645ORgxxPVgrK9sdPok5XWfbrUDqZP41KULuzG6aMHKZrN9D6TyWRdCQ2ghK8bJ6MTCY+Kp9eULRz/uH2ervNudio6kW/WHuHHDSdzrPN+pqnkGfo0LkWfxqVuZ9PkAVfgANOYMWN49913AVi/fj3169fPUic2NpZhw4Yxd+5cIiMjCQwM5Mknn2TYsGE5Rr9mzJjB+PHj2bt3L05OTjRo0IARI0ZQu3btbOuHh4czaNAgVq1aRXx8PGFhYbz44ov83//9X7ZBneTkZD755BN+/PFHTp48SaFChWjfvj0jR44kMDCwAK+ILZPJRNGiRTl27BgnTmQdkii58/HxuaXvh4jcG9LSzUQnpPDMdxtJSTfjaG9i/XstKZxpaH1qupnDUfEs3hPJt2uPWstn9K1Hw6tTb/JqbNfq1scDHi7Poj2RxCVZctv0blyK5uX8uZKaTt2PVljrzdt2BrDk+WlQyo+Pn6ySZenfvPjnyAV6TtpkzdERl5Rmkw/o/NVl2Y+ej6dqcZ983WXMbjn4zI7Gmaj24bWAxHuPlOc/TUvn9xJylJZuZuyyQ6wNP8/nT9fAMCwfinMKLhXzcWXpG01wvwVTV7rULs6+s7GsPBDF9N51re+Ni6M9I56ozIgnKgNQM6SQdcrAkr3nshznu7+Ose7wRS4mWN6HHacuZQkuffhEJXo0COXs5StM+usYLcoH4OniyA83kQ+oIIp6uxIW4EF4VHyWbf6ezlxKTCE13dLPHquet2lc9Uv5ZRmJNPulBkxdd4w/d0ey7shFTsdcIdjXjYPn4rI9xqCrX3L6NC55T4/6E7lZJpOJCkUt33nqlPRl1cHzfLXqCB7Ojnyy+AAAT3y5jhVvNbX+jLw3bzeHzsVfHV3ZlDIBtlN433ukPKMXWfbt1agkP6w7xq/bz3A+Ltk6agksUzcPfvhwtjcuvu1Ri54/bMLb1THL1OHdw9oQn5yGvcmEo70d5+OTSUhOo+P//gFgz5lYzscnZ5s4e8neSF76cdsNXxcPZwd+f6URhT2d8boaXOvRIISvVx+hf8sw5mw9zaS/j1mDS4FeLnhfXcnxpaalWJhw4IbnAAjxc7OZNnavO3QujjZX80hm8Pd0plejkvR+qCTrDl/gobDCON7Cm1UieVWgT3D79+9nyJAhuLu7k5CQNQs9QEJCAk2bNmXHjh20bt2abt26sXPnTsaNG8eqVav4+++/cXe3/UA+atQoBg0aRIkSJXjppZeIj4/n559/plGjRixZsoRmzZrZ1N+3bx8NGzYkMTGRp556imLFirFo0SJeffVVdu3axbfffmtT32w288QTT7BkyRLq1atHp06dOHLkCJMnT2bZsmVs3LjxlgY1nJycCAsLIyUl5ZYd80Hg6OiokUsi97iE5DTs7UzWHDN5cX3OCYDUdIPaI5dTo4QP3euWoHOt4nT7dgNbTsRY6zxdJ5iPn6xa4DYX9nDmrdZlGfbHPvo1K81jVYtiMpnwdHGkf8swJq87Zg0+ZVh/9CJNP13Nsjea4OvuhIOdHd5uNx5ubTYb/GfaVpsEsIv3RvLlynBeaRFGUmo6rcetsbkD/GX3Gnle1eu3HKb/5WT0ogP4ujvRpXZwvvbLyQtTNvNXuOWLTsv/rrHZ5ufuRIPSfiSlmulYoxinYhJpWT7glgSXwPKFbtjjlRj2eKVc6wV4urDtg9bU/HCZtaxVhQA+6ljFurR5dquVZfhrQHPrCoRFvV0Z/GjFW9D6m9ewtJ81wPTPwBYs3RuJr4czDUv78eOGayvGvdYyLE/Hs7cz8WPvutQaudxaVifUl2pBHvxz6CzRySa2nYzB39PZumpR07L+NA4rzMgF+xn+eCWeaxh6ay9S5B7WuIw/Y7BMacoILoFlRcmS7y0ELKONlu+3BLyfqVciS3AJoPdDJbG3M9GsnD9lAjyJjL3Cwt2R1uCSm5M93eqW4JXmZXIcFRtWxJP177UE4O/wC/T4YSOGAds/aI2ni6PNiKqM6ckL+j9E+wmWPFC/74jIdjTMluMxNs8z/m4ZhsH45eF8viKcJ2sWZ1D7CllGAFct7sPXz1pusnzwaEV83Z2sU8AeCsvfzSNr291sz5FuNu7pXENzt2Ud5TW+a3UalbG8Ps3L5z71UuR2uulPcenp6Tz33HNUq1aNsmXL8uOPP2Zbb8yYMezYsYMBAwbwySefWMuHDh3KiBEjGDNmDMOHD7eWh4eHM3ToUMqWLcumTZuseYv69+9P3bp16dOnDwcOHMDB4VrT+/Xrx+XLl1mwYAHt2rUDYOTIkTzyyCN89913dOvWjebNm1vrT506lSVLlvD0008zY8YM652CyZMn06tXL959912mTp16sy9Ntuzs7HBxufMrNIiI3G6GYfDDuuPEJ6Xx1erDpKRZVrcZ3L4CzzfKmmAzYyRS+UBPTCYT78zeZRNcymz7yUtsP3mJuKQ0m+BS38Yleadt+Vt2Dc81DLXJS5PhzdZlebN1Wb5de4RZm09RrJAbaw+dt25/fdYO9kZYghEvNS3NwEeutWn+9jOsOhjFe49UINDbBbPZ4Os1R4i7ugpY47DCxF5JZefpy3y29BDP1AvhzKUrWaYXvDJjO+/P2838lxvh7+mMp4sjF+OTeXfuLqLikvnwicocOheHYcCv289Y9xvcvgJL955j0/FolrzeBA8nE43G2AZ9AN6Zs4vHqwfh7JC3oKBhGOw7G0uglwu+7k7Wv6nHLyRYg0vZGfxoBTrWKJ6nc9xuvu5ONiu1NSsXkOOqYo72JlLTDUL93Fj5VrO7Lpnzqy3DOHYxkbaVihDk42rzM/dK8zK4OdlTOcgbN6e8fwT083BmzTvNeGHKZmtibpPJROVCBmsjTbz28w6b+s/UK0GbSoH0alTyrnt9RO60KsW9WfFW0yxB98wygksA7z2SdZoTgIO9nU1w571HKtgsbvH7Kw9lG5jKyUNhhTk2+sZTxyoFedOzQQjT1p9g5IL9bD0Rw4gnKuPveW2E8ZHzliC3q6M9q95uZl2lzmQy8XqrMF5tkXPQ63ovNy9DxaJeRMUl8XDlrAs85EX6dav4nY5JvKkRx3eLo+ezDuwI0fRjuUvcdJLvUaNGMXz4cLZt28ann37K1KlTs0yRMwyD4sWLExsbS2RkpM1IpaSkJIKCgnBzc+PUqVPWD6Tvv/8+o0ePZurUqfTs2dPmnP369WPixIksWbKENm3aAHDo0CHKlStH8+bNWbnSNu/Axo0bqV+/Pt26dWPGjBnW8oYNG7J+/XqOHz9OSEiIzT4VK1bk6NGjnD9/Hk/PvOWiyGvCK5HMlFhOCupu60PpZgMTsHRf7kPjBzxcjl6NSlpHNWWs/Ha9ot4uDG5fkXZVAjkXm8xXqw7z+84Im8TNYQEeTOhWwzr14N+Wlm5mx6lLTPr7GIv2RGbZPr5rdTrUKMaKTCuZhQV4MOelhkzfcJzPll677uMftyfdbFB28CLSzQa1QgrRrW4J66iQnBQv5MrpmCvW5072dlkSPf/9bnOKF7L98Jmamsp3sxcydo8jwx6vRNXi3jz+5Trrdi8XB2KT0ijt786X3Wvm+BoPmLOTX7Zcu5sa4OlM9WAflu0/R8YnjJVvNSUqLpnaIYW4mGAZzZvXZeH/LVGxSdS9OmLpv12q8WSt4rw8YxsLri7rDNCzQQhP1Q5mb8RlGpUpnOU1fZCkpqYyevoifjiUNRB5+KNHbmkeMbk/3W1/w/5tXSb+w+arI33eb1eeFfuj2Jgp/1u5Ip681678DROBZzZhRThnLyfxTttyBc4NmJuk1HRqjFhmXWW1Zgkf3m9XgdqhvgA0GbOKk9GJ/PxifZvVH2+l/PSfA5Gx/Gf6Vk5ctEyTm/RcbVpWuDcTff+08QSDft0DwOLXG+PsYE9UbBL1btPrfD970H8H5ddtTfK9Z88ehg8fzuDBg6lUKeeh5+Hh4URERNC2bdss0+BcXFxo0qQJv/32G4cPHyYszDJUe/Xq1QDWAFJmbdu2ZeLEiaxZs8a6Pbf6devWxcfHhzVrrt0hSEpKYuPGjZQrVy5LcCnjOJ9//jkbNmygdevWub8QIiL3uZQ0S/6jG+VN2X82lpd+3MqZmCs2072yM2bxQcYsPki3uiXoWic42+BS07L+/PB8HesQ9kBvFz7sUJlAbxeb1VLea1f+jgWXwHIHuXaoL4XcnbINME1cc4QONYrxxcrD1rLwqHiqjVia7fHs7Uy83LwME1aEs/VEDFszjdL6uFMVFu+NZPXB8zb7ZA4uAVmCS/VK+hLknf1S2MXcYf/w1tYPVqF+bhy/+gE89uo0wCPnE+gzdQsLX2tszX0B8Ff4ed6evTNLstaouGSW7rt2933EE5Uo5e9BKX/LnfS7LbCUISBTu6qX8AEsAcIhj1Zk07Fo4pPTeLpOsGXkTjGtCgtQsZCBi6OdTWLvJa83UXBJJA++f64O1YZb/haU9vfgxSal+XnTSZbtO8eEbjVuarpw/zxOfS0oF0d7JvaoxaszthGblMa2k5foPHE9zzcMJcDL2ZrvqLR/3kdQ3U7lA71Y805zXp25nT92RnDkfPw9G2CamykJerkilpHfWplT7ib5/s2VlpbG888/T4UKFRg4cGCudcPDLfP8M4JH18soDw8Pt3ns4eGRbQ6kzHXycg6TyUSZMmXYsmULiYmJuLm5ceTIEcxmc57alFOAKTk5meTkax+oY2Mt0yFSU1NJTc26UoJIdjL6ivqM3Kxb0Ycuxifz6qxdONiZeK5BCRqV9uNCfArFC7ky+Ld9zNpymlolfJjZp06OQaaUNDOPfP5XlvK3WpUhLMCDIB9LcGP+jghWHDjPiasfPGduOsnMTdmvfvLds9Uxp6dhvm6m3HP1ihPs48y6IxfpVieYSkFed8XPULC3E7VDfNh68hLtKgWy4/QlzlxK4kBkHCP/3MveiMuAJaFpfLJt/iZ7OxPjulSxXscrTUP5Zs0RktOufWlf+EpDwop48GSNohyMjOPRr9ZnacOErlXpP+vaqml1QgsxqUdNXJ3sSU9PI/261zK7/rP0tUacjLlCh/9tsGnnmUtX6D1lE5N61sTJ3o7D5xNsVjAq7e/OkWyG7H/VrRptKha5K96jvPjz5QZEJ6ZQwsfZ2mZfV3serugPWD4DiUVqaiqOdjCrd20W7j2Pp4sDgd4ulPJzuWfeb7mzHvTPQa72127GeDrZkZqaypM1ivJkjaKAcde/Lg1L+rD5veaUG3otf13m1Vw9XRzwdjbdtuu4mf5T0tfyeeRQZFyB2rXuyEVe/Xkng9uVo1ONYjd9nPyKS0pl28lLAPzUu7b+JhXQg/47KL/y+jrlO8A0atQodu7cycaNG284lOzyZcsH6ow8StfLGFqVUS/jcUBA9kNBc6qf13O4ubndVJuuN3r0aJu8URmWLl2Km9uDO1xebs6yZctuXEkkFwXpQ+P32HMszhI4Wn80Ots6W09eYvLcRQTm8Ott9VkTYDtN5rmwdEokHCD5GBy7WlYNqFoW5h23Y22k7QiHR0uk07qYwYFLJnydDRYtWpRruxs6wokdJzix4wYX+C96tij0CAI4Tavy8MFWe+JTTXz/93FrnXcqJbEm0o7oZMsS7+2CzVTxNTBObmNhplibA/YkY3lfCrsYhG9dS3imc71Q1sTkQ/Z0LplODT8DD0cwTm6jaykTs45a3gu/tIusWr7khu3Orv8MqgpJ6eDjBMO32XMpxcSWE5eo9uFKavqZKepmkPGe+zobvFTyMskh4GgHTnZw8LKJK2mQemwrC49nOfxdb2HeFiYS4PjOf6gIEG/5t/DM9jvcIrnXPMifg9oFm7iYZCJi9z+c3XOnW3NzmgRm/ZsO0LZo8g3/lt8K+ek/sRcsn1e2hp9m4cKbX9176FZ74lJMvDtvLy5nc5/GnllkIqw7Z0eDImaCbuIr44FLlvb7ORtc2LeBhfvyfwzJ6kH+HZQfiYl5W4kxXwGmnTt3MnLkSN5++21q1qx5Uw27H7z33nu8+eab1uexsbEEBwfTpk0b5WCSPEtNTWXZsmW0bt1a834zMQwDk8lEarqZ0YsPcTomkTdbhVE+MG850R4kBe1Df+46y7H1u/NUd3aENwteaZglYe/cbWf4df1eAJwc7Nj8XjOSUs255n5oj+V9Xht+gQV7zvFkjSDqlbTkbWiX76u4ezmXjOL/Zu6wPi/s4UT3jm3onod9E4qc4aNFB+hWJ5ge9YKto8AytANeTUrDw9neZmRZO+DRo9FsPh5DzwYlbKa0XS+v/ad1WzOtx//N2ctJAGy7aAcXLdvealWGFxqG4HzdKoGP5uEa5d6mv2FSUOpD98ffvNbpZv7YdZbPloZzPt6SY2/56w/d9qTTN9N/SkXGMSV8PdFpjjzySJsbTv/PTkJyGpfWX8v727BZa87HJVPK3z3XlelGLDjA9J2WO0knUz1Y0r9RrosgbDgaTUJyGkcvJjBmSTgvNyuFc5Ad7D9Mg7JFadeu4KvmPuj0Oyh/MmZt3Ui+AkzPPfccpUuXZtiwYXmqnzFKKKfRQBmNzDyaKCNxVH7q5+UcGYGfm2nT9ZydnXF2ds5S7ujoqM4p+aZ+Y3EqOpGT0Yk88/1GXB3tqV/Kl1VXc82sOniBED83OtUoTv+WZfL9gcAwDGKT0nL9sn0vc3R0JM2wIy4plQAvF46cj+f3HRGsOXSeHacuUSe0EDVKFOLbtUd5pl4JutcrwceLDlhX+PL3dGbV282YufEkhdydWLwnkm0nY/jwicqcjE7kk8UHOHw+gY0nLhNWxIMNRy/StlIgbk4OzNpqWaXMw9mBpW80wdvdlbxmp2lVKYhWlYJu06ty57WrVowP4lL48E/LLcZiPq55/lnvXj+UbvVCcu3rvjkcq3G5IjQul/fcEjf6HeToCMMer8R/pm/Nsq1tlSA83O7OnEry79DfMCko9aF7m6MjdK0biqODA2/+spN6JX0pE/jv5anLT/8JC/TGZILLV9K4kJie5eZNXuw7afsdss7oVQA0KOVHTGIKLzYpRccaxWz+fk9ff5zpG64NUz5+MZEvVh/j7bblsj3H3ojL9Ji8xabsq9VH8XSxfHWvGeKrn5lbSL+D8iavr1G+RzCBJUF3dho0aADAr7/+SocOHbLNmZRZdvmTwsLCWL9+PZGRkVnyMOVUP6dzGIbB4cOHCQoKsiYZL126NHZ2dvlqk4jcPqnpZvpM3cKaTEu9X0lNtwaXMpy4mMi45YcYt/wQXi4O1A71ZWSHyhhY7iaVLZL9CKd5207z4Z/7iElMpU3FInzZvSZODnd3AtrYpFQc7exwdbIdFZIxugssq5dtP3mJ1WdNtANe+3k7qw+dZ8LT1bOs4Lb5eIx1pZqfNp7kp43XPuQU9nDmrwHNcXG0p28Ty3LHnWvZLh1//EICs7acoucP13LuPF7tPOUCPdl+NRfA7Jca3NQHtftdaKY7uEVzSLSdk5u5s3q7tK0UyNx+DTh0Lp735l0b9ZbTz52IiDxYOtYoRqCXC5WC7t5FEFwc7Skb4MnBc3Es3H2WPo1L5Vr/0Lk4nv52A+7O9vz6f40o7OHMmus+n2ZYf9QytPfNX3aSkJzGM/VCmLf9DIv3RLJ8/7WFLzrVLMa8bWf4ctVh1h25wKwXG9h8Lj0VnZhjfsq4q4tvZCxEIXI3yleAqXfv3tmWr127lvDwcB5//HH8/f0JDQ0FLEGaoKAg1q1bR0JCgs1KcklJSaxdu5agoCDKlCljLW/atCnr169n6dKl9OzZ0+Y8S5YssdbJ0KxZM8CS/+j6pOObNm3i0qVLPPLII9YyFxcX6taty4YNGzhx4kSWleSWLl2Ks7Mz9erVy+OrIiI361JiCp8tPWgTXMpQpZg3LzUtTfPy/nT7biM7T12ybotNSmPlgSgafnxtiPKjVYvi7uRAn8YlCcv0pXfCinBiEi1J6ZbuO8fwP/byUccqGIZBmtnA8S5Z7WjNofOsOhDF2ctXWLL3HO5O9ix8rTHBhdxYui+SOVtPs/l4DA+VKYy/p3OmRJr2/PrBtRXJrg8u5aZTjWIMbFceF8esy4xnVr+0L7O2nLIp+31nBFxNO1A+0JOwgLtjpZi7Tf1SfjQOK8y2EzE8UiXr4hX3klohvtQK8SU13cwXKw/zbY9ad7pJIiJylzCZTDQsU/hON+OGnq4bzPA/9jFywX56NSqZ6zS1L1YeJjohhegE+HTxQT5+sop1hbzcbD0Rw5HzCTZJzwF+frE+9Ur6kpiczuK9kWw/eYn35u1mTGfLdLek1HQaj1mV67FdHO2oeAdXzxW5kXwFmL7//vtsy59//nnCw8N57733qF+/vrXcZDLRp08fRowYwYgRI/jkk0+s20aPHk1MTAyvvvqqzV3aF154gc8++4yPPvqIJ554wjpVbe/evUybNo3SpUvTokULa/2yZcvSpEkTVq1axcKFC2nXzjKbOTU1lcGDBwPQt29fm/a++OKLbNiwgYEDBzJjxgzr+SdPnsz+/fvp2bOncimJ3CaLdp8lLimNZuX9qfvRCpttDUr58WSt4nSoHmSzzPVvLzficFQcj37xt81y2Jn9uessALO2nGLRa40J8XOj41f/WJdc9/d05nxcss0IHpMJfniuDs3LZ7+wQGbztp3mh3XHuJSYysLXGuPlcuuG0h49H89zmUYHASSkpPP16iNULubN4PnXMn8u2H02T8fsUD2I8U/XAOByYiqXr6Ti6GDindm7uHQlhc+6VKN8YN5+zzUrG4CjvYnUdCPb7eOfrq5lyXPg7uzA9N731w2Lng1C6dkg9E43Q0REJN/aVy3K8D8sU9cn/X2MDjWK4e9pm/rkcFQ8fadt4diFa6ujztpyijnbTpNutnwWeqNVWc5cSsTV0Z7WFQM5EBlLTGIKX606wvwdEVnOO6pjFeqX8gMsn5uqDltKSrqZudtOs/LAOVwc7bN8Hh3cvgLP1g/hZHQibcatBeDpOiVueGNQ5E7K9ypy+TVgwAB+//13xowZw/bt26lVqxY7d+5k0aJFVK9enQEDBtjUL1u2LMOGDWPw4MFUrVqVzp07k5CQwMyZM0lNTeW7777DwcG22V9//TUNGzakY8eOPPXUUwQFBbF48WJ27dpFnz59aN68uU39nj17MmvWLH7++WeOHTtGs2bNOHr0KHPnziU4ONgmECYit87MTSdtptdksLczsfSNJpT2z3kUTJkATw58+AgT1xzh40UHaFk+gDWHzuPj5sSF+GSbuo98/hc96odw8FwcAM3L+TP5hbr0mrKZlQeirPUMA+ZsO33DANPpmETenr2Tq58pqDpsKd3qluDN1mWZvO4YKWlmXm9dFg/na7+bDMPg0Ll4Svu73zD4krHk7PV+3nwKNp/KdhtA97rFWbPnFGcSLUFyT2cH4pLT6PNQSd5qc21ev7ebI95uloDYj33yH+wo5O7E5kGtuJKaTmEPZ8LPxfPGrB34ujvxdN3gPAeqRERERO6kAM9rqV4+WrifnzaeYPU7tt8VVx+MsgkuZcgILgH0blzS5nPfQ2GFORwVz1erjtjs898u1bCzg441rqUfcHG059eXG9J+wt8AV0fapzJjo+3UuEeqFMXF0Z6wAA9aVShCYkoa7z5cPv8XLfIvuu0BJnd3d1avXs3w4cOZM2cOq1evJjAwkDfeeIOhQ4faTJvLMGjQIEJDQxk/fjxff/01Tk5ONGzYkBEjRlCnTp0s9StWrMimTZsYNGgQixYtIj4+njJlyjBhwgRefvnlLPXt7e357bff+OSTT5g+fTrjxo2jUKFCPP/884wcOTJL7icRKbh1hy9kG1wa8HA5HqsaRLBv3lYbealpaZ5rEIqrkz3pZgN7OxPTN5zgr0Pn6VonmBenbyXdbDB9g2X52crFvBj7VHUAPu1cleafrcbF0Z5Hqwbxw7pjLNh1lublTtO5VnFWHjjH/1Ydwd/TmZEdKuPnYbmjtfl4NObrBu/M3HTSZo58IXcnXm5+bbrvz5tP8d683bzTtpxNeXZ2nb5k8/yvAc3p99NW9py5tlrD/JcbMWrhfjYdiwbg+561aRrmy++m49Rp3IIraRBa2A1nh9tzV8vHzQmfq48rBnmx5I0mt+U8IiIiIrfTs/VL8OPVpNvHLyaSkma2yYMUFZec064AvN3G9qZihjIBHrStVIQley05lyoU9eLJ6/JaZigf6EWzcv6szianU/d6JehRP4RiV3Nbmkwmvn+udt4uTuQOuyUBpilTpjBlypQct3t7ezN27FjGjh2b52M+88wzPPPMM3muX7ZsWWbPnp3n+s7OzgwZMoQhQ4bkeR8Ryb9jFxLo8NU6Ll+x5EGqWNSLsCIe/LYjgs61ivN/zXIPvmQnI/l1xnKwPeqH0KO+JZ/a/zUrzRcrD1vrvt2mHIXcnQDw83DmrwEtcHQw4WBnx+R/jmEY8Pbsnbw9e6fNORbticxy3s61ivNRx8p8vjyc/622vUO1+7TtqiIZwbRPlxzEw9kBB3sTyalmejQIseZ9SjcbnIm5wrT1J6z7zfu/hgT7ujH1hbrUG7WCNLNBUW8XqhTz5utnavLTxpNULuZFi/JFSE1NxcEOinq7aPULERERkTy4Ps3B2kPnCfR24XTMFWqU8CHychIALzQK5fWWZXl37i4W77V8LmxfpSivtMh5MahvetRm8/Fo7EwQ6pd1IEUGezsTU16oy6noRI5dSGDa+uMs3x/F223K5np8kbvdbR/BJCIPpmMXEmj+2WqbsraVijCua3VcHe3pXrcEFYNu/dSqt9qU45UWZViw6yxlAjyoWtzHZnvGVDGAbnVLZBmOnJsnaxbH2cGeAQ+Xx97OZBPIOnohHrCs7vbM9xtt9hv6+17r4wAvZx6tGoRhGDQZs4ozl65Yty3s39j6mvh5ODP08UpsOHqRgVfP5+fhTP+W+tAhIiIicrMali5sc6Owz7Qt2darHuyDt5sjE3vU4uTFRA6di6NZOf8bHr9OqG+e2xLs60awrxsPlSnMoag4wgK0Oqvc2xRgErmPbDx6EXs7E7Xz8Yftdpi2/jhDfttrU9a3cUnefbi8NR9RvauJDm8HZwd7OtXMfkhyZqM6VuHFxqWYsekkv24/Q6UgL95vV4EV+6P4ZPEBABztTRT1duXX/2tonTIHlkDWW23KcSo6kcZjVnH8QiKp6WYmrAhn49VpbNl5ZcZ2lu07R9c6wTbBpWfrZw24ZR6ZJSIiIiIF16jMjT+Dejg70CDTZ9USfm6U8MtbOoebYWdnUk5LuS8owCRyjzsfl8xvO84wcsF+m/LS/u78+nKjW7raWV78c/gCwzKN2OlYoxivtwojJJdhwndSaGF33m9XgffbVbCWlS3iSZOyhSnu42Yz4ik7xXxccXawIznNTNigRTbbMpJuX++3HRGci02yPn+9VRj9NRxaRERE5LYzmUws7N+Y7t9v4FJiarZ1PutSlQAvl2y3iUjOFGASuYPSDThyPoEi3m7WPEF5tWDXWQbO20VcUtYABliOO3rhfkZ3qprrcf4Ov8D+s7H0aVwSk8lks81sNkhKS8fNyQGz2cDOzpTtMU7HJLJ07znGLT9kbU/7qkUZ3akKns4OWY57L6gU5J2nenZ2Jkr7e7DvbGyWbZsHt2LmppPW5XAz23DUMspp6GMVeaFRyYI1VkRERETyrGKQFzuGtCF04ALAcrMvLimNJXsj+eTJqjQqU/gOt1Dk3qQAk8gdcDgqjvnbTvPlBgfYsA7Auuy9v6dzjvslp6UzcfVRvlgZTtp1y5pVKebNw5UD2XD0In+FXwBg5qZTFPFy4YnqxShZOOsIoh/+PsaIPy3Bjx2nLzG6UxXriKdT0Yk8N3kTR89blmm1tzPRoJQf03rVxc7ORHJaOiP+2Mf6oxetdTK4O9kzqkOVf3301J3yZuuyNvP3nRzsmNarLi6O9jzfMBQ/D2dS08y8dV0i8TYVi9Ctbol/u7kiIiIiAhwd1Y4DkXGUD/TEzs7EB49WvNNNErmnKcAkcpudik5k5IJ9eLs6Ym9nx/m4JFYeiMp22fs5W0+xZXBrvF2vBWb+3BXB9pOXKObjyseLD5CSZrZuC/B05r125WlZoYg1mPNy8zL8vjOC/jO3AzB+eTjjl4czoVsNHq1SlP2Rsfi4OXEqOpFRC69Nq1uw6yzp6QZtKhVh9pbTrD960aZ96WaDvw9foNT7C3FzsqdZOX8W7rZdaS3Qy4UnagTRvkrRG04tu59kTub4UcfKtK5QxDqs2mQy8Xi1IMLPxVnrPN8w1BKge6KydUU5EREREfl32dmZbsuiMyIPKgWYRG4TwzAwmUyMXrSfJXvPZVvHzd6gT5MyBPu5886cXaSmG6w5dJ7HqwUBcDAyjldmbM+yX6UgL3o/VDLHRNaPVS1KST93Hvvyb2tZ/5nb+XJlOIfOxdvUNZmgjL8H4VHxLN4baV2GNbOi3i442ttxMjoRgMSUdJvgUtOy/kzoVsMmMPYg8XZzpFONYvxz5CKPVC6KbzbTHcsEeNCvWWmCfFyVuFtERERERO47CjCJFMCp6ET2RsRiGAZNy/nj5uTA2ctXeG3mDrafiiE13ch2v1YVAhjTqRJrVyyjfYvSODo6su7wBebviGDL8Wj+Dj+Pr7szLo62o1tcHO34a0CLXKfRgWXUTJXiWXMIXR9cAtg6uDVODnZUHroky7bGYYWZ+GwtHOxN7D8bx8g/97HlRIxNnSkv1KFZuYBc2/MgGNu1ujWomB2TycS7D5f/l1slIiIiIiLy71CASeQmHY6Ko+34v0jPNNdt6+BW9J+5nc3HY7LUH9e1GvVL+eHl4oi7swOpqalkjkWUuLrK2rT1J7Ls26tRSUr5u9OwtN8Ng0uZTehWg7lbT1OtuDcTVh7Osr1acW/raBt/T2fOxyUT4OnMxvdbYjbAzoQ1YFI92Ic5/RpiGAaPfP4XByLj6F6vBA8pCaLVvZjMXERERERE5FZQgEkkDy7GJ7Nk7znaVy2Kt6sjhmEw9Pe9NsElgIV7IrMNLj1UpjCPVQ3CIZd8O93rlmDCivAs5RWKevFSs1IEeOZ/qdTHqwXxeLUgTsckWgNMXi4ODGpfgZ82nuTl5mWsdb/rWZvdZy7TtXYwJpMJ+xxiJSaTiQX9G5OabsbF0T7fbRIREREREZH7jwJMInkw5Le9LNh9lq9WHaZ+KT/2nY1l/9Vl6T9/ujof/rmPC/EpfDB/DwBNyvoz4enqJKWaCfTOW2Ao0NuFJa83YeKaI5iA0zFXeLx6EM/egnw9xQu58ccrD/HtX0d5oVEoNUsUomsd29XLqgf7UD3YJ0/Hs7czYW+n4JKIiIiIiIhYKMAkkouUNDM9f9jIhqPRAJy5dIW5205bt3u7OvJE9WLM23aGNYfOW8ufrFkMH7esiZ5vpFygJ+O6Vi9wu7NTpbg3X3SrcVuOLSIiIiIiIg82BZhEsrHj1CW2nojhVHSiNbiUnaVvNAGgYpCXNcDkZG9nXQVORERERERE5EGgAJMIsOpgFBNXH2HjsWjaVirCkr3nbLa3qlCE8U9X54kv/+bI+QQAapTwoYiXZfrbay3D+H1HBOlmgz6NSyrZs4iIiIiIiDxQFGCSB97ByDj6Tt1C2tWE3dcHlwD6tyyDh7MDy99syvGLifyxM4LnGoZat7s42rNuYIt/q8kiIiIiIiIid5Wcl7QSeUB8s+aINbiU2cOVAgnyduGLbjWoWtwHsKygVrKwO/1bhuHt6vgvt1RERERERETk7qQRTPLAWnvoPJ8tPciu05cB+P2VRtiZTIxauJ++TUrRvFzAHW6hiIiIiIiIyL1BASaxOnQujhA/N5wd7v/l56+kpNPzh03W543DCltHKc3oW/8OtUpERERERETk3qQpcgLAtpMxtBm3lnKDF7PywDnS0s13ukkFlpZu5lxsUrbbPll8wPq4a+1gvn621r/VLBEREREREZH7jkYwCXvOXKbT//6xPu81ZQuF3BzZPqTNHWzVzZv6z3F+2niCC/EpRCek0KlGMcZ2rW7dfjE+manrjwMw/PFKNsm6RURERERERCT/FGASgnxcs5TFJKay+Xg0dUJ970CL8i82KZWvVh7mm7VHs2ybt/0Mb7ctx4HIWLxcHLmSmo5hQCl/dwWXRERERERERG4BBZgEX3enbMsPnI296wNMC3efZdOxaBKS05i99XSO9Rp+vNL6+LkGIQAUL+R229snIiIiIiIi8iBQDiYBYM5LDWgcVpg/X32Ix6sFAXD0QsIdblXu0s0G//fTNqb8czxLcOnrZ2qy9p3m1C2ZNUA2df0JAEr4Zh25JSIiIiIiIiL5pwCTAFA71JfpvetRuZg3LSsEAPD7jgg6f/0Pi/eczfNxzGaDw1FxmM0Gxy8k8NgXf1N/1ArOXr5yy9t8MDIuS1nV4t4sfaMJj1QpSgk/N/7bpVqO+7esUOSWt0lERERERETkQaQAk2RRK6QQABcTUthyIoaXftyW531/WHeMVmPX8vWaIzw/eRO7z1wmMjaJ5fujbln7UtLM/LLlFO/M2WlT/ni1IH5/5SHKFvG0lgX7uvH509XxcXPkx971+LJ7DQD6NStN83IBt6xNIiIiIiIiIg+yfAWYzpw5w/jx42nTpg0lSpTAycmJwMBAnnzySTZu3JjtPrGxsbz55puEhITg7OxMSEgIb775JrGxsTmeZ8aMGdStWxd3d3cKFSpEu3bt2LJlS471w8PDeeqpp/D398fV1ZWqVavy5ZdfYjabs62fnJzMiBEjKFu2LC4uLhQtWpQ+ffoQGRmZn5fjvlXMx5Wi3i753s8wDEYu2A/Ap0sOcvxionXb8Vs03e6/Sw9SdvAiBszZxd4ISx+a268Bmwe1YnymleIye6J6MbZ/0JqHwgrzaNUgjn/cnncfLn9L2iMiIiIiIiIi+QwwffHFF7zxxhscPXqU1q1b89Zbb/HQQw/x22+/0bBhQ3755Reb+gkJCTRt2pRx48ZRrlw53njjDSpWrMi4ceNo2rQpCQlZgw6jRo3imWee4dy5c7z00ks89dRTrFu3jkaNGrF69eos9fft20edOnWYP38+bdu2pX///gC8+uqrvPTSS1nqm81mnnjiCYYOHYqvry+vv/46Dz30EJMnT6ZevXoKMgEmk4nS/h7ZbrucmEpSanqW8oTkNFr8d41NmaujvfXxHzsjiE5IKVC7/g6/wBcrD2cprxXii7+nM3Z2phz3NZly3iYiIiIiIiIiBZOvVeTq1q3L2rVrady4sU35X3/9RcuWLenXrx9PPPEEzs7OAIwZM4YdO3YwYMAAPvnkE2v9oUOHMmLECMaMGcPw4cOt5eHh4QwdOpSyZcuyadMmvL29Aejfvz9169alT58+HDhwAAeHa83u168fly9fZsGCBbRr1w6AkSNH8sgjj/Ddd9/RrVs3mjdvbq0/depUlixZwtNPP82MGTOsgYfJkyfTq1cv3n33XaZOnZqfl+W+5OZkb/M8Nd1MVFwyLT5bTaC3CyvfaoZ9poDOP0cucizTKKVPnqzCkzWLE52QQrsJfxEVl8zUf47zRuuyN9WedLPByAX7spR//UzNmzqeiIiIiIiIiNw6+RrB1KlTpyzBJYDGjRvTvHlzoqOj2b17N2CZLvX999/j4eHBkCFDbOq/9957FCpUiEmTJmEYhrV88uTJpKWlMWjQIGtwCaBSpUr07NmTI0eOsHLlteXmDx06xNq1a2nevLk1uATg6OjIRx99BMB3331nc+6M5x9//LHNqJYXXniBChUqMGvWLOLisiaPftDEJ6fZPH9h8mY2HbtIcpqZExcTuZiQDFje51PRiSzfd85at2X5ALrWKYGDvR0BXi681soSVPp8RThp6demLe44dYmFu3NOIJ5uNpi+/jgD5uyk9PsLORAZh5eLA4tea8xvLzdi9dvNeLhy4K28bBERERERERG5CbcsybejoyOAdXRReHg4ERERNGrUCHd3d5u6Li4uNGnShDNnznD48LUpTxlT4Nq0aZPl+G3btgVgzZo1eapft25dfHx8bOonJSWxceNGypUrR0hISJZ92rRpQ3JyMhs2bMjLJd/Xnq1v+/r8ffgCg3/dY33ef+Z2DMNgztbTNB6zillbTgHwRbcafP9cbZt9G5TytT7+z/StLN93jrFLD9Lhq3X830/b2BeRfT6u7/86yge/7eWXLaevnbdlGBWKelEt2IfQwu6a+iYiIiIiIiJyF8jXFLmcnDx5kuXLlxMYGEiVKlUAS4AJICwsLNt9MsrDw8NtHnt4eBAYmHVUSuY6GXI7h8lkokyZMmzZsoXExETc3Nw4cuQIZrM5T21q3bp1jtebnJxMcnKy9XlGwvLU1FRSU1Nz3O9eEuzjbH1cyM2RmMRUElKu5V7acDSaPlM3cy422Wa/uiHepKXZjn4q4eNMlWJe7D4Ty4oDUaw4YLui3N/hUYT5u1qfn465wmfLwlmw2zYf1pD25Xm2XvH75jXOuI775Xrk36c+JAWh/iMFof4jBaU+JAWh/iMFpT6UP3l9nQocYEpNTaVHjx4kJyczZswY7O0tuXsuX74MYDPVLTMvLy+behmPAwKyXzo+p/p5PYebm9tNtSk7o0ePtskdlWHp0qW4ubnluu+9pG85E77OBnOPm4m5OtitqKvB2SuWUUMrDpy3qR/gYrBhzfJsj9WnBAy/YE90ctYRR6MWHeTYoX3UD7BMl5y43479l64NrnN3MPB0BJ8Le1i0aE+W/e91y5Ytu9NNkHuc+pAUhPqPFIT6jxSU+pAUhPqPFJT6UN4kJibeuBIFDDCZzWZ69erF2rVr6du3Lz169CjI4e4Z7733Hm+++ab1eWxsLMHBwbRp08YapLofZGS12vXzTg7vteRYalUthH5NStLh6w1ExVlGLzUu40f/FqWpHuyT6/ESA88w5Z8ThEfF4+Rgh7ero3UE1Mwj9gzr2Ro7OxOj9q4BLOVTnq9Fg5K+GGCTVPx+kJqayrJly2jdurV1iqlIfqgPSUGo/0hBqP9IQakPSUGo/0hBqQ/lT8asrRu56QCTYRj07duXH3/8kWeffZaJEyfabM8YJZTTaKCMBmYeTeTt7Z3v+nk5R0bQ52balB1nZ2frSnmZOTo63ped09/Lxfo40NuVIF8Pfn/lIeqPXgFA28pFqVPK/4bH6VYvlG71Qm3KDp2Lo824tQCUG7qMvwY0JybRMvxu7TvNKeF3/4wIy8n92m/k36M+JAWh/iMFof4jBaU+JAWh/iMFpT6UN3l9jW4qybfZbKZ379788MMPdOvWjSlTpmBnZ3uo7HImZZZd/qSwsDDi4+OJjIzMc/2czmEYBocPHyYoKMiaZLx06dLY2dnlq00Cvu5O1sf+HpbAWqC3C+2qBFLU24VHCrCSW9kinox4opL1eeMxq0hJs6w0F+CVNYgnIiIiIiIiIneffAeYzGYzffr0YfLkyXTt2pXp06db8y5lFhYWRlBQEOvWrSMhIcFmW1JSEmvXriUoKIgyZcpYy5s2bQpYchldb8mSJTZ1AJo1a5Zj/U2bNnHp0iWb+i4uLtStW5eDBw9y4sSJLPssXboUZ2dn6tWrl9tL8MAJC/C0Ps4c9PnfM7VY/15L/DwKFgjq2SCUz7pUsykr6u2Ci2PWfiUiIiIiIiIid598BZgyRi5NnjyZLl268OOPP2YbXALLKm59+vQhPj6eESNG2GwbPXo0MTEx9OnTx2aZ+RdeeAEHBwc++ugjm2lse/fuZdq0aZQuXZoWLVpYy8uWLUuTJk1YtWoVCxcutJanpqYyePBgAPr27Wtz7hdffBGAgQMHYhiGtXzy5Mns37+frl273ld5lG6FRyoH8karsjxatSj1S/ndlnN0rlXc5vlj1YJuy3lERERERERE5NbLVw6mESNGMGXKFDw8PChbtiwjR47MUqdDhw5Ur14dgAEDBvD7778zZswYtm/fTq1atdi5cyeLFi2ievXqDBgwwGbfsmXLMmzYMAYPHkzVqlXp3LkzCQkJzJw5k9TUVL777jscHGyb/PXXX9OwYUM6duzIU089RVBQEIsXL2bXrl306dOH5s2b29Tv2bMns2bN4ueff+bYsWM0a9aMo0ePMnfuXIKDg/nkk0/y85I8EOzsTLzW6vZPG1zyehPmbD1F5WLePFyAaXciIiIiIiIi8u/KV4Dp+PHjAMTHx/PRRx9lWyc0NNQaYHJ3d2f16tUMHz6cOXPmsHr1agIDA3njjTcYOnSoNTdSZoMGDSI0NJTx48fz9ddf4+TkRMOGDRkxYgR16tTJUr9ixYps2rSJQYMGsWjRIuLj4ylTpgwTJkzg5ZdfzlLf3t6e3377jU8++YTp06czbtw4ChUqxPPPP8/IkSMJDFRg404pF+jJoPYV73QzRERERERERCSf8hVgmjJlClOmTMnXCby9vRk7dixjx47N8z7PPPMMzzzzTJ7rly1bltmzZ+e5vrOzM0OGDGHIkCF53kdERERERERERLKXrwCTZC8jl1NsbOwdboncS1JTU0lMTCQ2NlZLY8pNUR+SglD/kYJQ/5GCUh+SglD/kYJSH8qfjFhH5jzW2VGA6RaIi4sDIDg4+A63RERERERERETk1ouLi8Pb2zvH7SbjRiEouSGz2UxERASenp42q+LdCnXq1GHz5s239Jhyd4iNjSU4OJhTp05p5cJ80M/ENepDkuFmfi7Uf6Qg7oX+o78Xd7d7oQ/db+6nnwn1HymojD5UpkwZtm7deqebc9czDIO4uDiCgoKws7PLsZ5GMN0CdnZ2FC9e/LYc297eXr8073NeXl56j/NBPxNZqQ9JQX4u1H+kIO7m/qO/F/eGu7kP3W/ux58J9R8pqPvx5+J2yW3kUoacQ09yV8huJTyRB5l+JkSy0s+FSFb6uRCxpZ8Jkaz69u17p5twX9EUOZE7JDY2Fm9vby5fvqyoudwU9SEpCPUfKQj1Hyko9SEpCPUfKSj1odtDI5hE7hBnZ2eGDh2Ks7PznW6K3KPUh6Qg1H+kINR/pKDUh6Qg1H+koNSHbg+NYBIRERERERERkQLRCCYRERERERERESkQBZhERERERERERKRAFGASEREREREREZECUYBJREREREREREQKRAEmEREREREREREpEAWYRERERERERESkQBRgEhERERERERGRAlGASURERERERERECkQBJhERERERERERKRCHO92A+4HZbCYiIgJPT09MJtOdbo6IiIiIiIiIyC1hGAZxcXEEBQVhZ5fzOCUFmG6BiIgIgoOD73QzRERERERERERui1OnTlG8ePEctyvAdAt4enoClhfby8vrDrdG7hWpqaksXbqUNm3a4OjoeKebI/cg9SEpCPUfKQj1Hyko9SEpCPUfKSj1ofyJjY0lODjYGvvIiQJMt0DGtDgvLy8FmCTPUlNTcXNzw8vLS7/U5KaoD0lBqP9IQaj/SEGpD0lBqP9IQd2yPmQ2Qy5Txu43N0oJ9OC8EiIiIiIiIiIit8L6/8GHfjCn151uyV1DASYRERERERERkbwyDNg2DQwz7JkLidF3ukV3BQWYRERERERERETyYs88GO4D5/dfK9v/+x1rzt1EOZj+JWazmZSUlDvdjLuSk5NTrksdioiIiIiIiNwV5vfL9MQEGLB3PtR6/s605y6iANO/ICUlhWPHjmE2m+90U+5KdnZ2lCxZEicnpzvdFBEREREREXlQGGZITwX7PCb6jj8PaUmWx49/AQEV4fuWcHQVfBQE1brCo+NuX3vvcgow3WaGYXD27Fns7e0JDg7WSJ3rmM1mIiIiOHv2LCVKlLhhVnoRERERERGRgjKZ03AcFWB5Uv9leHhU7jukpcDBhZbHgVWgZk9LLqayj8ChRZCaAFt+gKbvgmfg7W38XUoBptssLS2NxMREgoKCcHNzu9PNuSv5+/sTERFBWlqalhkVERERERGR2yM9DX7pgUPMceokO18r3/AVtP0IMgY8pKXAX59B+UctI5ymd4Tky9fql2xq+d9kgoavQvgSy2gogKNrLCOZHkAaTnObpaenA2j6Vy4yXpuM10pEREREREQeUIeWwrz/QHJ8znVSEmH1J3Bsbf6O/WNHOLgQU9Q+il7ebrstLtLyf2oSTGwEaz6BbxrD9A62wSWA4rWvPQ5tBO8cgYpPWJ5vnAgPaHocBZj+JZr6lTO9NiIiIiIiIsK2aTCjC+z6GRa9a5mClp6Wtd7c3rB6FEx9DA6vsAR09v0GpzblfOxLJ3MPSB1baznX8qFw4dC18uTYrHWL1bZ97uYLrYaDkwdEbLO0/wGkAJOIiIiIyIPmzDb4ayykXoHkOMtoALB8mYs7d2fbJiIPBnO65XdOhlOb4fdXrz3f8SMM94EP/SBiu2XaGliCSBm5kAB+7AQjCsEvPWHKo3DhcPbn2zPX+jC13yZ+qzGN1EEXoMazlsILh+DLWpYRSLlpMxJ8grOW+5a0TJcD2P9n7se4TykHk2SrWbNmVK9enfHjx9/ppoiIiIjIrZIYDfNehMPLLM9XDL+2zaMIxF8NLgVWhUc+gZCG/34bReTeFnsWds2CEvUt/7ITfRS+aWoZHVThcYg9A2e25nzMb5tZ/q/dO/dRSOnJMPNpeO4P8CpqKbt8Gv75EjZ+bXn+8CfgWwo4YHnuUcTy/1+f2R6r+jOw4yfLYztHKNsWWo8Av9I5n79UM1g9Gg4ugJMboUS9nOvehxRgEhERERF5EKResSynHX00++3xmUYuRe6Cye3gye8tQSZXX0sy28jdcGId1OkDTu63rm2xEfBtczDSoetPD9yXMpH7QvgymPUspCVZnju6wTOzLcGZ63+mV398berZ/t9ttz3+JVTrBt80gai9ttu2TLr2uMazYOcAW6dYnju4WM55MRzGlodKHcEvDNaOubaPRxGo/KTtMf3KZH89Td+9FmCq3g0e/yLXywegWC0oXgdOb4alg6DP8hvvcx9RgElERERE5F6UHA9Jl8C7+I3rntlqWQUp6Wqi2upXvwRGH4WE83D5lKXcowjU6AG7foHLJy15TrKzbTo0ftPy5a5Kl2srL+WDU2osnNsLxavDsiEQfzXB7g9t4P2z4HSXrsAcexbO7rSMZlAuUZFrZjx1bSU1gNREmNL+2vPideGFhZZcSDlNIav4hCVwZDLBi6stv6fGV7H8rsssrI0lEGUyQanmluBSuYctK7hNe9xSZ++vWY/fbSZ4+ENq6rWygApZ6z02AQqFXHtu5DFpt70jPDUdxlawBJnizoFnkbztex9QgEluKCYmhtdee40//viD5ORkmjZtyoQJEwgLC8MwDAICApg4cSJPPmmJBFevXp2IiAiioqIAWL9+PU2aNCEmJgYPD487eSkiIiIi97b485agUIl6MOcFCF8Kj4yBms9ZgkQeAeDibbtPYjRMy7TEdrvPoG7fa9tTk+D435YvWd7FLGXFa1ummeTkYjjM72d5PK8vDDoHji55vgy7VSN5ZM94jD0myzSU3bNtK5zdCSEN8ny8W84wYO88OLISkmLBnAadJ1umvqwbb6nT6HVoOQQOLLBM2YmPhHP74NGxlmkyIve7lETLqMN/vgC3wrZBmIodYN982/qnN8GHha899yoGPX8DnxBwyGbVdQcny7/HJ1hWlmvzoSWofXQ1lG9/LcBbqcO1fUo1hWfnWfIyZeZVDAKrQGC1rOcpXM72+TtHwd3Ptqx43az75cSrKPiUgEsnYOdMuHgY2v8XHJzzfoz/Z+++w5uq3gCOf9M96GKWQimjlL33LiCr7CHIFgQUt4iAoiwRBP0p4gAFBGQIAjIUkCGUTQHZu+xZZukeaZPfH4ckTZMuWijj/TxPHpJ7z733JNykuW/Oed9nlASYnjS9XkVyc4O9yyP9yvLqq68SGhrKmjVrcHd3Z+TIkQQFBXHy5Ens7e1p3LgxwcHBdO3alfDwcE6ePImrqysnT56kfPnyBAcHU6NGDQkuCSGEEEJkVlQYLOoGjh5weSd4+ELDD1Rek6sh5m3Xj1A3A68S4F0R3HxU0Ojv903r/F+C6v3Mt7d3gtIvmS8r0wZaTVIXjvGRUK4dnPpLjRqo8SosHwhx903tQ2aaSnTnLZH+cwu/jM3+XwDQoFeJfAHsXUEbo+7v+1nlbom8ri4MM/Md9uo+dYGbVs6XjGjjIOauSt777wTY+Y35+uPLTcElUPev7oMru83b/dFflSy3lUst8RyKvKFGT9o7w5wWEHXTfH3BCvD6w4CrIcBUqBLcOma5r5YTIX/pjI9ZvqPp8wWgfIf02/s3V1PsjvyuHlftA51+TLu9g4sKCl8Ihtc2mweX3gyBSztMicAzy6OoCjBtHqseuxeBph9nbR/PIPnUe9K0sTDJJ3eO/cmNLM+VNwSWdu3aRf36KsnjokWL8PX1ZdWqVbz88ssEBgbyyy/qS8L27dupUqUKxYoVIzg42BhgCgwMzOlnI4QQQgiRefGREH4RClv59To9yUmg06qLqScl5i78L9Uv6hFXYe2wzG0fflHdUuv+m/lFWkbqvaVu1oy4AGf/MY1y2jxW3TS28MYOKFTBcpuEaHXB9988NKl/cPWto0YyhG5UlaBOrFSJea/tVyMBhu5WP9TunaFGKKQOIu35CTY8vHh7ax8USPX6ZSQpEX5tDTcPp91mtZXXInVwCdRUnqshULxB1vogxNMs8gbsmm5KlJ2WZqNVcNWjKIyLMC2/cxZ+rGXetnijnO+ngVeKQHfNgRm37/WHmo6XegRowbLqllUlA1W+OoMG72Z9H88gm9zugHi6nTp1Cjs7O+rUMSVly5cvH2XKlOHUqVOAqjh34sQJ7t69y7Zt2wgMDCQwMJBt27aRlJTE7t27adKkSW49BSGEEEK86KLvwMyGKmHsOA/1GNSIldTiwuHkajVyZ+e3qjz2tMpq6tORJSqQ8SiStXD9oApYpSchGv6XwcWMXwOo0gtqv67yhKRk7wpFakLhquBeVN0AKnTJWnApIxqNGuXUfYH5cn2yyq1y5h/Y9Z2pBHnoJphcBNYNh1vH0dvYc7RoX9N2baaoIJ5/C9Oya/vVvw+uwKKXVT6o4EkqqJWcIn/K6XWm4BLAj7VhYiFVwSmzTq6yDC45uEGdNyzblmkLbVOMbrJzgncOQscfTf2fF6TOmaSEzPdBiKdR3AO4fVrlcMsouFS2HZRuZX1dgQD47B40GaUeF6mpciE9LvXfhi6zYeAGKFoj4/Z2jpbBpexIOVK02685WxThKSYjmJ40exc1kii3jp1FesOXAivLNQ+HKlesWJF8+fKxbds2tm3bxoQJE/D19eWLL75g//79xMXF0bBhw2x1XQghhBAi03Q6CDuicm3Y2KiqQw8um9Z/7a9KVN+/oHJ1+DdXU53Wj4Abhyz3F3MbZqTIB1Sm9cMS11mwbaqqZNR0NDQZATH3VBJtn2pqfXISXAyGawfUiCmAOkPBMQ/4VIfSLWDVm2o0T/PPTPu9f1HlJMkfoBLiPukcH+U7wAcn4dvypmXBk0z3C1WAEk1U8t8UdFX7cEnXmAo+rth6VzC9DimnqqR0ZY/pfly4SlperK668LWWiDwpXpUc773Mcp01Kc8PgyFb1fSd/AHmo8fKtoWKXUzL2n+nypbnK6UChOc2qeUz6kGBcmr0lY38ri+eAcdXwJ4fIY+3CvraOanPy7QUqgj91oBL3sxNY7W1U9PEyndQx3icHFyh8suP9xjpcfOGkZfVtF2XvLnXjydMAkxPmkbzTEUvy5cvT1JSEiEhIcYpcvfu3ePs2bOUK6ey7Ws0Gho3bszq1as5fvw4jRo1ws3NDa1Wy8yZM6levTpubm65+TSEEEII8SLZ9iVsmwI1Bqi8RcGTLdvcv6D+XdhFJXSd08KyTVriHmS9T4Yy2Vu/UJXatnyuqreBukgLvwSJ0ab2jT+CZp+a76PrLMv95i0B7x0Bl3y5l0DWo4hKdn1iJYSlyrOysKt6fobkv51mQKlm6Bzzol+/Hl2Lidja25tvk3IUQZuv4NBvlvv9tRV0naNGOWljwa8h9Ful8kRt/FTlbrp5JHP9v7oftkxU92u/rhKol2xquiis8apKDnzkd/V/V7WX+k4/5j4kJ5pPn6z1GmydZEqofucU3DiokqYL8TTTJavcagZn1lpv13gEOHvC5d0qcXXqZNiZYW0K7fPI2TO3e/DESShdpKt06dJ07NiRwYMHs3PnTo4cOUKfPn0oUqQIHTuahlkHBgayePFiKleujLu7uzHotGjRIsm/JIQQ4vFJY6SteIGd+1cFlwD+mwvfVVb3nTxUpbN8VhLKnl1vucyrODQcBh9fU8liU0qMsWwffkmVrzdrlyLPUMpf6/961xRcArh13Dy4BGrUT2Z5FH2yOaKsafQhvLEThp9T02Q6/KCCMaCeH0CH71Vwxs07/dEORVPkaak50HzanGF6DaiRSyEz1f0KnVR58Ipd1IghgOhbsHUyHFpoeYyQX2BWc/ihNsxJkeDcsxhU7Go+4sDGFnxrQ7tvIXCUqe82tpavu609fHDcfNkfD6fK3D2nqvUJ8TQ6sy7jNvXeVjmW6r0FryxS72UhUpARTCJDc+fO5b333qNdu3YkJibSuHFj1q1bh32KX5uaNm1KcnKyWTCpSZMmrFq1SvIvCSGeLrpkdVEgnm0J0WoEQ/hlNV0o+jbUGqRKA4tnR2KMChI6ZqLSbORNOLQAitSA2yfVtLHiDdRUMxtbWD9SBXmu7rW+fYcfVLW0N3aoXEhFqsM35VUltJTJm9tNU1O0UlZCa/etClzF3FaP4x+Y73vzeFVxzK0wvHtYHefoMvhzkNqXNk5VVErNp5r5lDxDpSXnvCqg8SzKU0BdeIJKqG4I9gW0gmp9094uper91XlRqdvDKTWj1YiHQhVVsl3X/CqXk9lxC5nuO3tCQBsVONz2pVoWFQaNH24Tex/+GWleUh0ADVTKgSk1Tu6q8tSu7+DIYjWa6uJ2mN9erX/viApgipyj08k0xNS0cbC0D9jYQ80B6vMmT0HrbfV6OPqHuu9dGcKOmtYFfQ21B6sAqZff4++3eKZJgElYFRwcbLzv5eXFb7/9lm77ihUrWuRrev/993n//fcfQ++EEOIRnVipcpg4uKoLlpoDcrtH4lGEHYc/B6sgA5jKs0deh84zc69fmXVpJ9w5o0ZmGEZCpHdxFH5J5VFMeWFw7zxobDIuB58V8RGqAlhmgj3ZlaxVU5vmBqlgQJdZquLPyVVq+dl/VBLrmgPgwK9w9yxo4+H2CdM+HD2gz3J10Z4Ub3mM946o0SnJCRDQ2lTW2t7ZVN2r/jvw73jTNs0+tf65YO8MPX+H2c3V47hw9a9Op5JaH/hVPY66qUYBJMXDqqFqWcpcQo7uMOykqhKXFA8Fy0FClKo4VqQGOHupqXs29rk33S0nFa5sCjZlhZO7ecUlWzsVbDKo+ZplgCl1qfNOP8HcNnDntHq85XOo0FnlSTr1l3lwKW9JaDQcSjQCt0LkiIJlofMMFViKvKb+9hg8uJp7AabY+2qUleNzlL4i8iZ88zAx/uhbKsAr4NIuOLdZ3T+7XiX+f32b9bbHlsOpNep+s8/Ue2HdcBX0rj1YLc+fTi4mIR6SAJMQQojnmzZOldZd/ZYpSaw2Fv5+X01Jqf9OrnZPZIFOB8v6qYtDa478rnKlpC5fDiqgcWY95POHQuUt1z9OCdEq6HB4kXmw4eB8dWF7YqVK0lzvLWgxIUWfk2D1m3B0qXpc7231Rf+XpmrUjUt+GHYK7oWqAIin36ONztMlq5xCP9RU+3lzr7rAz2mJsaoamDYWFnRSAS1QwZpF3SzbH1msbmlJiEg7b9Jrm9UF/Ge3VRJsj6LW29V7yxRgcvNRU6PSUrQmVH4Fji6BNe+oCmWHrUy9+us9SIi0XJ6nEAzarC7sU17cO7qBf4opWllNHv4isrGBoXtgZgOwdVTBwwKpKu+55FVT9g7MhfUfqWXfV1d5m/56GLxq8bl6Xz3OkS81B6jgVsRV0zJDEvcnRRunAvPhl9S561oA3j2kAnfPg39TfG7u+FoFii/vgWWvQt03VDA/J6uDPSsMP8IY3DysAoypE05f+0+N6ANV+Sygpbrf8cfH3kXx/HlOPlWEEEIIK24cVuWso25aX7/xUzXNxq9+5qqfiCfr3nm4tENNdTnyO2wea1pn76J+jW34gWqz+2Gp9l8flkeu0AU6/wx2Durxyjfg+HIVyOn8s6rItfgVlaC311I15eZx+WeUmtqV2s0jpiTEuiQ1nWbXd+qxk4cqb55yZM6eH9TNIPauupgyTEEqUA7e3JO1c/nOWfitI0Q9rHAbhwrgRd6APd+rAGzjjzK/v7TE3IOf6pqmmIEqAZ+3hPlUjMywc7I+Ysmg0YfgmyKHT3qjvOwcVdnsiKvgXsR0vqTFo4jpvrXgEpgHl+q8AVf2QqtJUKyeTOHJSYXKw9jw9NvY2qupsxe3wem/1TJDxTl7FxV4eNz/J7VeUwGmlBKiHu8xU/vrPVOgGlT1ws/zwVv7oECZJ9uX7Lh7DjZ8rD73fWpho9Nis32qeSB6+1fqZrB5HGz7CkZceLFGNu2fDZseVpv0KKb+zwFWvg49FsKFbbDjf5ZTir0rP9l+iueOBJiEEEI8nw4tNM+rAqoaUe3B6ov2ytfVsnlBavRAx59UpaIC5aBMkLro0OtV3hVdkvrCWr4DNHjvyT+XF03YcVVW3jDtiFSved23oHWKMugBLdX0omX9TctOPCw9X62PCpYcX66W65LU1CXfOnDlYSLgvTPMy75nVdwDdb5V7qHyz8SFq1LPtg5qRMzJNaa2ds5qKk/KoIp3ZRXgiEtxsWwY3ZMRQ3AJVLWq+xfUFKD0JCXA38PSDpCsTjGVZ8tEdYHu7JW5/qTl7Hrz4BKoRLF1h8KtE7BsANw9oy6EOv0IRWqqi8ajy8CvnhplFR8BTT9RSWVvHoGfG1seZ/AWFTTOClu7zE81LNdeXZRZ02oSnN2gghkAfR6egyJ32dioaXonV8OfQ0zByW6/PpnpoM5eKngZed20LKsBpvDLavpS5VdMnzGGfWfk3nnz4FJKv3WCN3dn//2dU+Ij1N9da5W3dDr4oYa6H7oROxs72uuSMrdfbYwKMFayMlLyeaNLVre1H5qWtZ5sGkUbulGNVn1wxfr2KRPsC/EIJMAkhBDi+XHtgAoq2TmaRoZ4+kG3uSrXiYOLWlblFVXy2jAa5Nxm+F+AaT+VX4EuP6tfPndNMy2/fgBqD8n9ak3Po5h7quLX1kkqp01aXlkMZdtaLq/QCdw2mEYwARxbBkVrw48PvzDn81dJpaNuqlFPBuc2P3qASa9X59zpv+Hgb1D5ZVO5c1DTUQzeO2pKkHppJ9w7B6VbgruPuniaUV8FiVwLgIevKm3u6K4qUoVfViPubhxSI64ib5hGYngWM10sfF8duv8G5U2VXgH1frh9SgXBjv+ZdnDJmvkdVOBGr1fvm4vb0Di4Y6NLZ8qJXq9GUiXGqgpi1i5wDYGgQhXg7X1qGqNtinL1tQapmzWFq6g8aonRcHqtei0LV1GBxsfJp5rK8TKlOCTFqbw9eQqqkXHV+qopd5d3Q95SOZfLR+SM8h3VtNLjK6DO60925I69i/njzAaYosJg21QVcAf1GWDg5KGmCd46oRLMl2oGTUZY7sMYqH9o4EZIjFJB3agb6vOq2acq/5phamxSgspt5+ShgtaXdkLxRmr6cYUuj1ZMISEKru6Dkk1No8Z0OpUwP/hL2PezqW3gJ+r9fOOg+rwvXAXObzHbnSZ1cKn1l2q68dUQ8+X5y6jg9cXtz2eAKTlJjVRy81Z5+TaPM6966eQJJRqraZKHH+ZDSyu4VLUP+FR9zB0WzzsJMD0hqRNgCxN5bYQQOeLYctj4mWmqD6ipNAPWm09rMajYFUJ+tp4L49gyVUo7ZXDJ4O8P1LSKZ7XC09Mi4jq45FMXF3q9Gonz31zzNq2/VNPLQF1gtJumKn+lpVhdGLQFgifDuU0q39GPKX6NrfumCrLsn6UeO3up/Eg3D6tpTMXqQlKiqvx1/ZAaYVPlFevH0uvVxUzwZJWAGtRFTMrgUkoVuqhAkEHxhupmYGMDA9apiwDD+RoXri70nDxUsuR+q9WUPjtHdWF2aIFK4tpppuqL4Xn90Q/yB6jcNN3mqFE1hqkSceFquqFBicbQbR645lPPaYqfafRUoYoqOBR2FHZ/r/I+7f4eUF8ga7pXAzpZvi5z26gk5t3nw5I+KleSQb23Vc6hAmUs30Mpg0uZYbiYrv26+n+o80bWtn9U9k7Qc7G6YE4dyAM15VY8nYo3MCV4f5KK1VW50gz+GaUSlWc0JfO/+abgUmrxEfBzI4i9px5f2aMCKHlLqvfh7ZNw/T/TDylNR5sHoLr/pnKh7Z+tboZlju5qeWqn1qjbhk9g2OmsBZli76tk/LeOq7+fVXrCzm9V4MpavrLgFCNUt02BMfdN0+BKNVcJ2i9sBSC5Wn9sg6aoH37KtlOjVwuUVcHwAmXUSNLF3VWA6Xl0/l/Y+5P5spRTst85qAKHlbqpIgk7vzWtcyuspkBX769+dPHLhfeGeO5IgOkxs7VVyTYTExNxdpZfvK1JTEwETK+VEEIYXd2nLogDWqXfbvlrpilQBgFt1Jdpa8ElUIGKj6+qX/xWvKamOfVYoBIoh1+EJb2tb3fkd3V7/5h5wCC79Ho1deNxjY7S69XNxgaOLMUueDIBTtWAoIdVylzV1Isn4eQaFQQhjR8Y/BrAy/NVfwqWU6PQMjuFqWgN6PUHzGxoXnGsQmeo2lsFSa6GqNEyrSer6U6XdqiRT11mq6lcJ1erbVa+oaZPuuZXuYo2j1WBohKNYPZL5kl7U+a4AHUR9d88dX71/ytzQYfUiVdTT1vRaEyVxWxsoO8qlTDbwVVNa/CuqHKtgCno9WOqIM6+X9SIBIC3D5hX3tJo4KML6oI0TyFVrv3XVmrkXspKaw8VjjyENuIa5E/xf7PnR1MyfUNJdgOPYiqJ+aMkIk+PRxHo+EPG7XJSqWZP9nji2db0E/VZcP+CafRk2FGVOD49d06Z7vs1UEGTlAEZQ3DJ4OIOFWBKOQ3coFSq6ZolmoB7UVXhzuCPfpl7Pt+UhSajoOnHabfR6VTi6H2/mC8/8KvlqKqM/NHPNDKp0YdQpAbJW77g6PUYKgZNwdb+YXDa09c0jd3wvSE+Uo3OCr8I4zyg8y9QpUfWjv+0irqlfhxJy3tH1Y8HoD7fG7xvCjCVbAr9Vpnalmr6uHopXjDZDjBNnTqVkSNV1vk9e/ZQt65l5ZbIyEjGjRvHihUrCAsLw9vbm65duzJu3Djc3a1XKVm8eDHTpk3jxIkTODg4UK9ePSZMmEDNmtY/iENDQxk9ejRbt24lOjqa0qVLM2TIEN58801srCTvS0hIYMqUKSxcuJArV67g5eVF27ZtmThxIt7e3tl4RczZ2dnh4uLCnTt3sLe3t9qXF5lOp+POnTu4uLhgZyfxTiHEQ3o9xNyBee1UifHijaD3cvMEnYapNyEz1ZQHg97LVQLnzDAEc3qkmC7k/5IaCZL4cArDS+PVL8XelWB5ivLlMxqokRi+dSDwY5X35lEvnNeNME0PCPwYAkdZtjFMOcqK+Ej1a/OJVer52LuoUV1x99EA5bhI0umOsOJh7qLUAYeccOuk+v+p1kcFPXQPh/NbCy45ecKQYPNgUsnArB/Txgbafq1G0gB0X5CiRL0PvJFiety9c6YLvvUfmedBQg+bxqhg0YG5KofFmXWWx6vYDbrMUlXh1n6onmu7b9UIBY3N46tap9Go4BKokRCVXzEFmNJiCC6B9WpltnbQ8H3T4w7fw4x65m38GqDTJWNzdS82u76BjmpUE1FhanpGWrrOyvngkhDPAncf6DAdrh+EWQ8v5G+fVAGmxBiIuKYC6Sn/xkXfgXMPp4V1mQWVu6v7Nw6pKbRfWcm19vf7avRO6uDS8FA1lTMlGxsVaEkrp5h/C9Vvr+IqoHr+XzUq1DASaNuX6m+Vtb9LumRY91Hao69S6rdGjfAyBM/vX4Sz/6jpqAs6qyC6IUG7jZ2aBmvvhK7ZGK6sW0fFjPbv5K5GdBqCdSuHPB8Bpph7MK2iGtVq4FVc/R3Y9qX6UcUwJdvA2ROaj1VByoYfPMneiheIRp+N+UmnTp2iWrVq2NnZERMTYzXAFBMTQ8OGDTl8+DAtWrSgevXqHDlyhH/++YeqVauyc+dOXF1dzbaZNGkSo0ePplixYnTr1o3o6GiWLFlCfHw8GzZsIDAw0Kz9yZMnqV+/PrGxsXTv3p0iRYqwfv16jh07xuDBg/nlF/PIuU6nIygoiA0bNlCnTh0CAwM5f/48f/75J0WLFiUkJCRLQabIyEg8PDyIiIiwGjBLTEzk4sWL6HS6TO/zRWJjY0OJEiVwcMhgmPBzRqvVsm7dOoKCgrC3z+K0ACF4js8hbTws7a3y4qTm5Km+0NYdCgu6qC+8Bm4+KldNdi9gH1yB6dXV1Lmy7VTwyfAF+tfWptEZqQW0gV5Lsn68Ne+o3D0pjbxsSnIadlzldNnyOTQZCTX6m5c4T8+mMaaqZJn17qGcK5N+dJmabpYW37oPL16awp3TatpETuVFMUy7y186/dLzOp1qt+1L0zL3IlCmjWnaSHqcPGDERdN5F/cAHPLkXvnvKSXUKC1Q5aYvBEO9d9SUz7mt1QgIgE4z1LLMuLof5rxkevzBSZJuncZucRf0aNAMCVZ5O/bOVCMWfKqr3CkGL41TgbuXxku1RmH03P4Ny8imsabp14GfqKTL1w+oxx9dUEF41/wqQH41RAWT3txrmZB8z0+qolq5Duo9NqelqiyZWscfVdDbmqQEVTXSNb8KfhlGKlbrY71EvV6vRiluHK0ev/0f5Pe3bHf0D/hzsOlx++nq8+baflgxSCU89yqu8iOmN+0ZVIENw9TjguVVpUyyeP7MbQuXd5oej8tkEYWnVeRNNYospaafqtxidk7qe0qRGk8mif0z7IX9DHpEGcU8DB75209ycjL9+/enSpUqBAQEsHCh9WSRU6dO5fDhw4wYMYIpU0yVTsaOHcuECROYOnUq48ebhl2HhoYyduxYAgIC2LdvHx4eKoHku+++S+3atRk0aBCnT582G+0ydOhQIiIiWLt2LUFBQQBMnDiRNm3aMGvWLHr27EnTpqZhf/Pnz2fDhg288sorLF68GM3DLztz585l4MCBjBw5kvnz5z/qS2PBwcGB0qVLG6eCCXMODg4yskuI5831/8CzuJq2tvt7NX2nRGOoOSD97fR6NfXo1jHr6+MfqCSnlbqbB5cAXt+eM6MjPIupkRYXgtUvfSkviPutVsmVl/RSvz6ndHa9Gq3jml/lmyiY6stfcpJKLu3pa1qmjbcMLoHa/4B16pftmSlyImwcrW7tp6tAk8Ht0+pCo0RjlWjYNb/6FTit4JJPdZJaTMRufpDluqPLIHCk9e2yQqeDdR+mvb7NVPVl+HHRaKyPBEvNxgbKBpkHmPybq+koGQWYitWHoKnm55216kdPUsoE6S+NN5921/FHlZC8QpfMB5cAfGupqW2bxqiLXXcf9M4FuOcaQL6YsyoYHBduuuis0Fnle1n9FnSeKVMvhEgpZZXHlLmGAL6yEtxv+bn1QEHdoWpabMEKahpUjwWmUZugcpIFjkq/QpydoynxdclAVSzhztm0p6VrNFD/bTVdWJekqroN+leNNkr5OXjntOl+rz9M+/OrD0N3qZGUmU3I3/gjNRo35i7Uei1z26SW+nNZpzMlGn8WXdppuaxkoClJe8kmT7Q7QqT0yAGmKVOmcOTIEQ4ePMhXX31ltY1er2f27NnkyZOHMWPGmK37+OOP+f7775kzZw7jxo0zC/IkJSUxevRoY3AJoEKFCvTr14+ZM2eyZcsWWrZsCcDZs2fZvn07TZs2NQaXAOzt7fniiy/4999/mTVrllmAadYslQTzyy+/NB4XYMCAAXz11VcsXbqUH374ATe3TP5CnAk2NjY4OTll3FAIIZ5V2ng1ciIqDGalyk8ScVUl3tzyuRqWXWeoaYTHg6uqAk70bZX02RBc0tiqi9MKXVRumx3fqMSVuiTTl3CNDfRYpEab5OTIiAqd1S01O0c1fWvwVvUF2c1bDd3f/YNK8Lz6TTXiSKc1r3am08HnD/Mg9P9LBYL2zzYvI9ztV5WMdGkfuLxLVQbSpPEF+K931fQD70rqy/fvD4f7n9+iglxNP4b5KZIP1xgAzceooNPRJdDsM/S2zuwv/jY1r81BU+d19Ut2yAx1wXNpB7w8T02zuHVClfhO62LgxEpY9qq6n6+0upjxra2CDoZk0bUGqy/4ZdqoX6LzFFLTzp4WBVNNYXPOm3HOpHz+MHD94+vTo7J3Mb3uqXM6Fa4Cb1i5MMmM+u+qEQd5S6r3mkbDHbcKKsC05XNTO+e8Kvjp5AHDzzzasYR4npVqrj4rUyb9TkudN6Bse+vrNBr1t8SgaG1TRcnar6siCVn9u5i3ZOZGsDYZBVsfjiqa3Vwl76/YxfR34t559e9L4y2DVc5eWa/22PLzjNukJ/XrEHvXcsrgsyL8kmlkcInG6rtKclLG+byEeEIeKcB0/Phxxo8fz6effkqFChXSbBcaGsqNGzdo1aqVxTQ4JycnGjduzOrVqzl37hylS6ucD8HBwQDGAFJKrVq1YubMmWzbts24Pr32tWvXxtPTk23bthmXxcfHExISQpkyZfDz87PYpmXLlnz33Xfs3buXFi2s5/BISEggISHB+DgyUiXb02q1aLVWqhEJYYXhXJFzRjyqp+oc0iVh+1t7bK7vT79d7D3Y+Cn6vTPR1X4dvU917H6zLDmvd/Mh6Y3daqqRTg9uvhD0LbZxD7A5/ZexXVKbr9GXagFJSRb7eLxsIe/DXEWVemITdRvbrZ+r3BgGS3qR3GIiutpvoLm4zfQHN3Xi44e0ZTqAXo+tb11sru5Ft+otdI0+Mm6n19iiSTk6JTlBTav4PVUuiWN/qJthO7fCJDWfoPJNFaoMLSqr42m13PCqTdzLH2Pv4Aj3zmEfMkNtdGmHWX4P3ZZJJL+SavqfXo/mWgh2huASmC6Yru0zdbPRR+gapxgR9crDvumwXsEvl9i0nITtxk8ASHYvis4pH7YVX0Zzdj36AmXRJCeS1G46Nue3oLl5CF31AeifhvdeKnaObmiibgKP4bOh9MMf8h5+34lxtLxAS24yCp2tCzyFr414ujxVf8OeJJeC8MYebH/vjs0FlWMpuf572Pw3F83DBN46n+ro6r+PvkyQ+huY2c/KgVtMU+we59/F+u9jt38Wmuhb6vGeH2DPDyS1nQYOrtidXAVAUsFKj+1zMivnj23EDVL+XJN07xJ6x3RGdj3FbJe/ZnwuSXXfRW/IU/jEvwc9+17Yz6BHlNnXKcsBpqSkJF599VXKlSvHqFHpDz0PDVVfNA3Bo9QMy0NDQ83u58mTx2oOpJRtMnMMjUaDv78/Bw4cIDY2FhcXF86fP49Op8tUn9IKME2ePNlsWp/Bxo0bcXFxsbqNEGnZtGlTbndBPOOydQ7pdTQ6+zkOydFsLfsFeo0NTonhxDkWwCnxHo5JUUQ4F0t7JM1DpcP+ovxN68GlA35vcC9PGcqEraH4PVVWWBN5DdvNn6W5vzWlJsFmy5LCTrbNKJs3Ar/72wlzr0LIjbxw00rS5SesQGQC1sa72G76lP/O3cInfB9F09n+mldd/lunnodrns68xF5sbh7C5g81jem2W0X2+I/AI/YSTc6MRZNW9bVUgsuMJ9rRh+RNW9Nss2mzaaph5XxNKXHPsq3N+c2cn9WPk0VeAUCjS6L++Snkj05/hMrJwi8TGl0J1uX+/1FGnBMcMfxUtf/MDW6FrQP79lC+ren8/+8K4A/O/nAqGk49fc+rUZwOw7ildY/5dXd1KaVyMKU4H0NCb3Pn1tP3uoin14v6Pai4thhVHt4/eEPLjXLfU/PSDzgkxRBSYCjJ54HzT/F7qfRX5Is6TcNzpml+dmvfN2uy4fgdkh7z52Rmzp860UmkvLI8GPwXNz1vPr5OPUYdH+br0mHD2lMxcPopPkeeES/qZ1BWxcbGZqpdlgNMkyZN4siRI4SEhGSYDCsiQg3RTjnVLSVDcihDO8P9ggWtD1lMq31mj+Hi4vJIfUrt448/ZtiwYcbHkZGR+Pr60rJly3QTXgmRklarZdOmTbRo0UISy4lHkhPnkM3mMdjGqqHs7Y+YkjHr85aC8EvGETPaYaFp53G4cwa7OavNFiXXHISulcppU8W4tC/axBjsfmuHJlWOpeSWk9FV7Ibd7KboynckqHm7dHrdFy2QD7CSQSh3JDWDKVPV3bbT0MSFY7tF/RBR++L3xmbJtV/H1lAtDtBV6o6uxkAK5StNkNPDv0vJiXDKPAdS3rafEfSwxHRSZEdst36OzfHl6AtWQFeuI5oru9HVGoLNmbXYHFkEgD5faRp0eyvNLls/f4LQ6vXYLuqEJvwyyYGfYLfmTQBK315HyVKl0JdqDvGR2B1RwSV9/gCSei5Hc/sExNxBX6o5NkcWo/cqQemy7Sht84xUCNXr4aSaslij7QBwL5zLHXo0trF/wJlzAGapA3Ka4fyJH3oAu+Q4NPfOo7l1jFqNR0oib5EpL/r3IM1lD1g4D4CqrftSNV9pQI3oTSMD0lMoCP3XPxhHXqWU1P4HWlZOp8BCNmXp/LlfBt36j9DcPIwmIZIaRezRNcnG52NcODYHZqOr2A28SmTc3iApXo2K9a7yaMU09Hr0x13RaGNIHrKdoAJlM95GpOlF/wzKKsOsrYxk6VvfkSNHmDhxIsOHD6d69Qwy/j/HHB0dcXR0tFhub28vJ6fIMjlv0pCUqJI5n/hTJZBMXWpVGD3yOXRyNYT8ZHWV5v5582Ns/gy6/GzZ8MI2+O1h+ffSLaHnEjVdzs4Rq+m27T1h6E5VaWvdR2BrD40+xDZfKdV+2Alswfq2TzN7e+jzJyRGY1e+o0pIusVypKtt4CiVdHVxD6jcHZvag7EYG2ZvD8UbqWlqAD2XYFemtWl9vuKqZHXTT9DkLYntw4t5G4BCZeFhgEkTOCpT54XV82eA+kXUDsCnijHRuO2e72GPKWCGgxua17djb+8M+VK8RwNHZHjcp9L7xyDuAfb5iuV2Tx5d60lw8zDUfeOJ/G2xy+unjuNTCSp1evbeuyLXvbDfg/zqqmICeUtgX6jcsxuY7btKfQ9IjDYt67EQu3Jp5I7KYZk6fwqVhVf/gnnt4NIObHf+D9uXxqS/TXo2ToX9s7A9vxkGb8ncNpd2wbyHQa3CVVRhkvTo9ap4QlICbP1CVfbT2IA2BuycsC8YAHYv4PvmMXhhP4OyKLOvUZYCTP3796dUqVKMGzcuU+0No4TSGg1kiIKlHE1kKH2XlfaZOYZhZNGj9EkI8YRE34GYO6ry1dEU+V6+q6zKxTccBkWzmBgSICEatLHPbkLHrNLr4dhyUxLIVpOgUEVVNjwpEYrVVWV/DQEMgN7LYVE38/3UGgQJUXB06cPE0J+q5Mwxt8Hj4YSvbVNN7dtNU1VkMlPJzdlTVWp7nvg3N913cldJtf+dYFpm76JGgWk0MCiD4dgdf4TDi6HuG9ZHjtnYmFciMshXCsY+UElAvYo/wpOwwrui+oU2/KLluqI1VG6n54VnMXV7lnn5wbATud0LIURG7J2MwfxnWtEa8Ml1WNQdQjeoZWUscys+FQJamb77PGoluaRE2P/w+8v1/2D/HFUNtvWXqnqsXm9ZYEGXDPNSvCY3j8Dl3WkXk9DGwa+tVDuD03+D/0vqfsWuquiIEE+hLI9gAtKshlavXj0AVq5cSadOnazmTErJWv6k0qVLs2fPHsLCwizyMKXVPq1j6PV6zp07h4+PjzHJeKlSpbCxsclSn4QQj9nptaose7pt/la3Bu+rqla6JOj0E7j7pL/dnbOwoDNEXlPl29t+A3YOOdb13KQ5ux7X+Ic5BC7vgashUP8d+HMIHF9uarjhk/R31P9vKNEIag9RFd3OPqyM1fIL9QX43nmVTHrdcPXaR1yDXktV9ZK7Z1XbFhPAo0jOP8lnWaMP1Uit3dPVY4+imf+F2stPVYJ7FBqNqnSXk7rNUZUB3Xwg6oZpeaPhOXscIYQQz6aWE+HeOaj31qMFbp6E6v3V6HhQ09FtMlHhOyEaIq9DgTLqccqgD8Dah2lT5j4caeyQR41OylcKbh6FvT+p7VPnTpzbBgb8A371LI9547DlceLC4dgydb9Ek4z7LUQuyVKA6bXXXrO6fPv27YSGhtKhQwcKFChA8eLFARWk8fHxYdeuXcTExJhVkouPj2f79u34+Pjg7+9vXN6kSRP27NnDxo0b6devn9lxNmzYYGxjEBgYCKgE26mTju/bt48HDx7Qpk0b4zInJydq167N3r17uXz5skUluY0bN+Lo6EidOnUy+aoIIR7Zgytw4FfY+a35clsHKFAWmn4CRWrCqqFw7uGIj13TTO2+Kaf+dcmnSvm65IUqvcDhYbJ9vV6Vc4+8ph4fWqB+8XlpvPpikfoXpozER4Cd0+P91ejyHnUcxzxq6LxGA8laNZ2taC0VpJjZCG6fwA54CeCLFPl6No+13Kd7kYdfblJp+qn6Imh4vYK+Uv/eOauOa//wi5dvbRVgOvuPadvF3U33HdyguvnntXjIJZ/pvnel3OtHdhWpAeMejvzd/hXs+UmVovdrkLv9EkII8XQoEADvHsztXqTPLkVA6fJO04igtMSFw8zGEHEV3gpRQabzGUyJS4xW35ecvdT315Q6/gS+deCHmoBeBaWGn4M8BdR6vV6NDN/1XfrHyOef/nohclGWAkyzZ8+2uvzVV18lNDSUjz/+mLp16xqXazQaBg0axIQJE5gwYQJTpkwxrps8eTLh4eG88847aFL8ojtgwAC+/vprvvjiCzp27GicqnbixAl+++03SpUqRbNmzYztAwICaNy4MVu3bmXdunXGhJZarZZPP1UR6sGDB5v1d8iQIezdu5dRo0axePFi4/Hnzp3LqVOn6NevnyTrFuJxS0qAaakuuPMUUqM+ag5UuXkM+ixXU75WWA9yE3tPzU8HCPkFeiwAt8Lwc2PLaT37Z6sbgJOnyu+UPxN/qPf8BBsejigZdVVNgcpJYcch+hYs7GJaFvQ1lG1rCqSBynVwOxPTXyq9DF1TfGbH3IW7oSpA5+wFDd6DguWsb1sgwPxxmSD1C1xaOv2UdgLwF135jurLojZG5VV6HjT+SN2EEEKIZ0nK75ZLesOnt9Jvv+4jiLii7t84rH7kOzDHsl2VXir3XcxdlUbA2sjxan2hWm91v/8amP8wR9XX/lCsvkrl8NI4CDZV5aPOGyoIdnk37PxGLXPOC0Ve3FzI4un32Eu7jBgxgjVr1jB16lQOHTpEjRo1OHLkCOvXr6dq1aqMGGGeCDQgIIBx48bx6aefUrlyZbp160ZMTAy///47Wq2WWbNmYWdn3u0ZM2ZQv359OnfuTPfu3fHx8eGff/7h6NGjDBo0iKZNm5q179evH0uXLmXJkiVcvHiRwMBALly4wIoVK/D19TULhAkhctCBX+HvD6yvG7w1/T+YlbqpC/RvK4BOC44ekGAll9rdM/D7K9B4hCm4VCYIev4Of/SHk6tMbeMfwKHf1PSu9CRrYfM40+MvfaHe22q7zOQbysidszCzIRbDpw8vgqhUZXQXdDJ7qMMWG5It91l7iPlj1/zqZm0odkZ866iRKpd3qTxY/s3h8O8qsJevFJTvkPV9vijyllC/6F7eBWWfTMJTIYQQQliRcpp6Unza7aJuqQDQ3TOmZaEbVHApOlVQqu8qKPXwWvPcZlhopXKem48aPW9QojG4FzWNsL+yW/2bOhdmtT5q9HPB8nBwvsrNFPTVs5sQXrwQHnuAydXVleDgYMaPH8/y5csJDg7G29ubDz74gLFjx5pNmzMYPXo0xYsXZ9q0acyYMQMHBwfq16/PhAkTqFWrlkX78uXLs2/fPkaPHs369euJjo7G39+f6dOn89ZbliWabW1tWb16NVOmTGHBggV8++23eHl58eqrrzJx4kSL3E9CiBxweQ9s/Mz6ut4rMvdrjFsheO+I+nUofxmVK6hEE/h3PNy/CHWHqlxO9y/AqjfUNqVbQY+F6n6TkXBmHeTxVokYQzfC7h/ApzpU6ASHFsGWz9V0oE4zTKOULm6D5ATzvuz5AUJmgqObSt7cY4HazuDeeZWzqOmnGScmvxqCWXCpQDm4cwpuHFI3awqWR9tuOpv2h9LK5Si2dg4qEXrRh5+ROfnlw87BMhFp8YY5t//nnZu3SsgphBBCiKfHf/PV3+iAVubLT60xDy4BHF9h/rjfGlVMI2WV42KpknYXqw99V4I+GRxSXfP2XQk/prqu1SWZ7r+y2DS13qMIvPNw+qGzZ0bPSohclSMBpnnz5jFv3rw013t4ePDNN9/wzTffZHqfvXv3pnfv3pluHxAQwLJlyzLd3tHRkTFjxjBmTDZKVAoh0qdLVkN+Vwwyz99jUKYtdPvVlOsnMzyKmJJJGy7aO3xvOl7ekirAZFCqqWmUUaHyMHQ3OHmoRJShG9Uf/WX9IeXHx+m/YaVOBY+OLjUtL90Sei6Bfb/AP6PUF4G4cHU79bd5gGlRN9WPq/vhk2vpP6fUQaShD4dCb/nctKzfapWA++8P1HHbfwfeVdHa3UD30ufYSnlVIYQQQojM++td9e/YB+Y/zKUcPe5dGcKOmm9XsIIaVZ86mbmDC3x8DdaPUqOUKnVLe6R7/tIqncGxZVC4qvrOmBAJhSqpJOGp9y2BJfGMeOwjmIQQL6jY+/C/suYjf0o1VyN9bB3VH+tCFXI2YbaNLbwZohJin/5bBWIqdTdvk/9hhUjnvFC4imWVDoMzVkoH139XHaPuUDXl6dRfpnUpk2jH3DMFuRKjYFIRNe8/byno/5cpqfau6Woa3J3Tpm2bj1FfKhq8bx5gKlQRSgZCsboqoOVbG7TazLwqQgghhBAiLbH3VEXj6wegcg9VhAag9uvQ+kuVUmHrJLiyB+q8rgJDaVXKc3SDTj9mfEyNRuXKNOTLPPMPHFkMzcc+vVX4hMgECTAJ8Tw5tFAlWw5oo4Irdg6504/gKeZJCkGN7umxwDRE+HElKLRzgMovq1t6bO1Uedjjy+HMeri4XQWB+qyArZNNVes8i6lgVI8F6r5Bt7lw+xT83lPNoY94OEopMRa+r2Z+rMRo9e/1A3D+XyjXXgXgNqWYMli0thqlZO9s6l+VXurLhkt+UzUyQ4BMCCGEEEJkzRs7H+a9TOGrUqb7B38z3fdvroI9Lnmh7dePt19lWqubEM84CTAJ8ayLC4fd38OO/5kvdy0I7/yX89XOMnLvPOxI9Ue4zVdQZ4j19rnJwQWq91O3lLrPh+v/QbF65hVHUrK1h8KV1RS/X1uqErYn18AffdM/5tI+0PFHcEz1/9L+O9PIJoM2U9SXDe/KktBRCCGEECK7vCtB++mm6XFp8amuRt4LIbJEAkxC5LbYe+DorPICZcXRP9QUKsMw3tRibqvcPiWbpL+f+EhVlcKtkOW6pERVXt3WQY3Q8fC1DIIARN5QJVlPrDQtK1JDVdZ40gGunODgqubOZ4ZHUfXvgysZB5cMVqcoPpDHG/qtgoLlLNs5uasy90IIIYQQImdk9N3Y9mFxE1u5VBYiq+RdI8STptfD/tnYHv6dlncuYH8oHDS2UOUVaDJCVaRIS1w4LO0Ll3ZYX1/jVfhvnunxbx1gXISatmUtMHRoIaz7SCXibjwC6r2pptgBhF+GuUGmEqqgkhAOCVajafR6OLJE5ToK3QjJieb7bvftsxlcyio3b7Bzsl7udkiweu0XvawCddZ0/NF6cEkIIYQQQuQ8Tz/ry+u+BQ8uQ/ff0k7OLYRIlwSYhHjckpNg5esqkXPNgRAVBtunYgM4G9rok1Wy59CNMOyU+bSsWyfh4Hw1VHfrF+oPn4F3JWj5BfjVN20T9D+YVgmibqjHC7vBuc0qiWClbqZt4x6oKhfaWPV4+1RIiFLTxf4ZqXISpXbzMIz3VPfrvAEhM03rHN1V9QvXAtDwA5VA+0VgYwtFa5kH/Rq8B00/NeXAGnkJji6BNe+Yb1u6pZrfL4QQQgghngyNRgWT9v6kRtxfP6C+k7WelPG2Qoh0SYBJiMft8CKVSBpg7TCL1Xo7ZzTl2qkypTF3VOLowpXVyujbMKOe5T49/aDxR1DdypQsWzt4bYMKMoEpWfWBuaoK2Z4fwN4VHlxSFc5SCpmhbqm5FlB9M2ubIrjUZJSqrPaillAt08YUYOr4E1Trbb7ezgHyl1H3nb2gSE0VjOuxSHIrCSGEEEI8aS0mQOPhqprxydVQvlNu90iI54IEmITIrvDLEH1LlY0H0OnUiKFd36n8OVu/sNzG3pWk7gsICQmhdrtXsff0gQdX4epeuBdqmjJ19A/Lbd85CPlKWS5PybMYvL4Dfm5kWnZ5J3xXxVTRzODVdRB7F/5IlegaIG8peHMv2NippNdzXrJs02kGVO2Vfn+edxW6wPav1WtbvIH1NsXqqClz7kUhT4En2j0hhBBCCJGCrZ2qDgfyPVaIHCQBJiEeVdwDWNJbBW4AXp4PFTrBP6Ng389qmWEdQLW+UHsI5CkITp7oseXuyWg1Ogggn78KMK0YBHqd+bE8iqkARdPRkLdE5vpXoIzlstTBJU8/Nb0uIcVIpnz+MGSbWmbnaJrm5VtL5XNKiIbJRdSyUs3lFx8A98JqaqM21vRlxRqfak+uT0IIIYQQQgjxBEmASYhHodfDzm/NA0jLB4JfAzjwq2V79yIQ9DXYO5mWabXmbYpUh8MLLYNLju7wxo6sTz+zcwTfOnD/IrSeDCteM62r/IrKCdTwAzVFy8kdHPKoAFS3ueCYR92sccwDXWartjUHZK1PzzN7J/P/XyGEEEIIIYR4gUiASYiM6HRwZQ/8OViNTmk9BW4cgl3T1PqqveHoUtAlwboPQfcwcPTaZrgYDGHHVb6kjIIPNQdC2DH4b6758uFnwd7Z+jYZ6f83JCeYB63snKHLz9B+mvl+39yjcj4Z8j+lp/LLj9YfIYQQQgghhBDPJQkwCZGR1W/Ckd/V/cjrMC/ItM63DrSfrnIwnduskgSCqiLmW0vdMkujgbbfQJWeKufRuU1Q/51HDy6Bmt5mmOL23lG4f940TSv1fj2LqZsQQgghhBBCCJFFEmASwpqEKDi7QU1tMwSXrGn9pUoS6FbYtExjo6aePQobG5VrCaBojUfbR1q8/NRNCCGEEEIIIYTIYRJgEgIgMQa2TlJT3xoNg8WvmKa6gSox32y0ZaU170rq3zyFTMuK1VOl6IUQQgghhBBCiBeEBJiESIyF2S/B7ZPq8eVdlm06/QSFq5iSYwO0mAC29up+kxEQ8rNq0+nHJ9NvIYQQQgghhBDiKSEBJiEOLTAFl6zpMguK1nx4/2Fy7Kv7oERjUxs7R/jk2mPtphBCCCGEEEII8bSSAJN4ccXeh4Vd1LQ4gAbvw7UDcHknNB6hpsQlJajgUUr2zlCyyRPvrhBCCCGEEEII8bSSAJN4cW3/2hRcci+iprnpdXD7FPjWVstTB5eEEEIIIYQQQghhQQJMwlyyFvR6U2n759X+ORAy0/S47ypwcFX3DcElIYQQQgghhBBCZIoEmITJgV/h7w8ADXx8FRzdcrtHj+beebi4DU79DeEXocdCKFTBtD5ZC5vGgD4ZKnaDLr+AjW3u9VcIIYQQQgghhHjGSYBJwJ2zMLc1xN57uEAPK9+AVxblarey7P4FlVdpdnPz5Ut6wdA9EDwZitWFQhUhMRps7KHrbNBocqe/QgghhBBCCCHEc0ICTAKcPFIElx46/bcK2OQtmTt9ygq9Hq7thzktrK8PvwSTCqv7u6dDpxnqvruPBJeEEEIIIYQQQogcYJPbHRBPgTwFrS8Pv/xk+/EoDi2EqSWsB5d6LrG+zaqh6l/vSo+vX0IIIYQQQgghxAtEAkzCfBSPa4pg04NsBpj0elj8CvzaGpISsrcva2Lvw1/vQ1y4+fKhe2BcBJRpA3WGpr29f/O01wkhhBBCCCGEECLTJMAklM6/gK0DBE2F2kPUsvsXs74fXTLcPAraONjyOZxdD1f2wOVdOdtfUMm8dVrT44IVYOQlKFTetKzNl1C4irpf41Uo117dd/KAav1yvk9CCCGEEEIIIcQLKEsBpuvXrzNt2jRatmxJsWLFcHBwwNvbm65duxISEmJ1m8jISIYNG4afnx+Ojo74+fkxbNgwIiMj0zzO4sWLqV27Nq6urnh5eREUFMSBAwfSbB8aGkr37t0pUKAAzs7OVK5cmR9++AGdTme1fUJCAhMmTCAgIAAnJycKFy7MoEGDCAsLy8rL8Xyp0gM+uQkVOoOnn1p2/zycXAPRdzK/n32/wM+N4Atv2PE/0/Lbp3Kmn4cWwp+vw+XdsO9ntcy3Dgz6F17fBs5eltv0WQktv1C3zj9Dr2Uw4hLYSgoyIYQQQgghhBAiJ2TpCvv7779nypQplCpVihYtWlCwYEFCQ0NZtWoVq1at4vfff6d79+7G9jExMTRp0oTDhw/TokULevbsyZEjR/j222/ZunUrO3fuxNXV1ewYkyZNYvTo0RQrVow33niD6OholixZQoMGDdiwYQOBgYFm7U+ePEn9+vWJjY2le/fuFClShPXr1/POO+9w9OhRfvnlF7P2Op2Ojh07smHDBurUqUOXLl04f/48c+fOZdOmTYSEhODt7Z3Fl/E5YQi4eD0MMJ36S93y+cM7/2W8fegm+GeU9XXbpkK9t7LXv/sXYPXDfRxNkV+pUAUoWjPt7VzzQf23TY8DWmavH0IIIYQQQgghhDCTpQBT7dq12b59O40aNTJbvmPHDpo3b87QoUPp2LEjjo6OAEydOpXDhw8zYsQIpkyZYmw/duxYJkyYwNSpUxk/frxxeWhoKGPHjiUgIIB9+/bh4eEBwLvvvkvt2rUZNGgQp0+fxs7O1O2hQ4cSERHB2rVrCQoKAmDixIm0adOGWbNm0bNnT5o2bWpsP3/+fDZs2MArr7zC4sWL0TzMPzR37lwGDhzIyJEjmT9/flZeluePYQSTwb1zGW8TcR0Wm4KLeFeGHgvgzllY/DLEP4Dr/0GRGo/er7MbLZcVrgJNRj76PoUQQgghhBBCCJFtWZoi16VLF4vgEkCjRo1o2rQp9+/f59ixYwDo9Xpmz55Nnjx5GDNmjFn7jz/+GC8vL+bMmYNerzcunzt3LklJSYwePdoYXAKoUKEC/fr14/z582zZssW4/OzZs2zfvp2mTZsag0sA9vb2fPHFFwDMmjXL7NiGx19++aUxuAQwYMAAypUrx9KlS4mKisrKy/L88fKzXJYQBfGRML8DbP/acv3tU6B/OCVRY6MquHkVV6OFyndSy4O/hOQUOZMirkPUrfT7oo1TuZZWvQX/pAok1XkDXtsEbi/oiDMhhBBCCCGEEOIpkWNJaOzt7dUOH44uCg0N5caNG7Rq1cpiGpyTkxONGzdm9erVnDt3jtKlSwMQHBwMQMuWllOYWrVqxcyZM9m2bZtxfXrta9eujaenJ9u2bTMui4+PJyQkhDJlyuDnZxlEadmyJd999x179+6lRQsrZe8fSkhIICHBVBXNkE9Kq9Wi1WrT2uzZYeuCfapF+jmt0Reugs3FbXBxG9rqA8HRDR5cxmb3d9hc2IoG0LsXJbn99+hdCsLD10JTqQd2J1dB6EZ0v/ckucfvEHkDu5/rg6M7SW8fBBvLU1Fz4xC2S7qjSVUlLrnVFHRVe4OdE+gxHudZYzhXnotzRuQKOYdEdsj5I7JDzh+RXXIOieyQ80dkl5xDWZPZ1ylHAkxXrlxh8+bNeHt7U6lSJUAFmABj8Cg1w/LQ0FCz+3ny5LGaAyllG4P0jqHRaPD39+fAgQPExsbi4uLC+fPn0el0mepTegGmyZMnm03tM9i4cSMuLi5pbvcsqZ+nPAWiTxofa24fR3P7uPGx/dclWFv5Z6pd/gWfCFN+pjMutThzMgpOrjMuc068iyEEaHNuE/pJ3tjqk9SCxGgOLZnETU/zHErucVdoevpTs2UPnItx1rsjYbcKoN+4hefFpk2bcrsL4hkn55DIDjl/RHbI+SOyS84hkR1y/ojsknMoc2JjYzPVLtsBJq1WS9++fUlISGDq1KnY2toCEBERAWA21S0ld3d3s3aG+wULFsxS+8wew8XF5ZH6ZM3HH3/MsGHDjI8jIyPx9fWlZcuWxn086zSX3GBR53TbtD36usWyUi+Pp5S7j/lCvR79vXlowo4CmIJLD9W+OJ2kV/5AX6qZWhAXjv03/Sz27dpvCdXyB2ThWTzdtFotmzZtokWLFsYRgEJkhZxDIjvk/BHZIeePyC45h0R2yPkjskvOoawxzNrKSLYCTDqdjoEDB7J9+3YGDx5M3759s7O7Z4ajo6MxkXlK9vb2z8/JWbyeSsjtXQku74a7Z9Vyr+IQfsmyvYcvtJiAfT4r+ZsAXt8O31WGB1esrrZb0h3GPQzsrfjAtMLJEwqUgbwlsS9UDmyylDbsmfBcnTciV8g5JLJDzh+RHXL+iOySc0hkh5w/IrvkHMqczL5Gjxxg0uv1DB48mIULF9KnTx9mzpxptt4wSiit0UCGCFjK0UQeHh5Zbp+ZYxhGFT1Kn15Y9s4w+OE0tDmtTMu9ikNCNMTeNS1zzgsfHCddGg30Xg6HF0O1vpDfXy0/9Tcs7a3uL3sVusyG+xfU43pvQ6svcuLZCCGEEEIIIYQQ4jF6pOEgOp2O1157jV9//ZWePXsyb948bFKNLLGWMykla/mTSpcuTXR0NGFhYZlun9Yx9Ho9586dw8fHx5hkvFSpUtjY2GSpTwJwyWe671oAeiwEja1pWY3+mdtPgTLQYrwpuARQti24FVb3T6yEA3NUdTmAKj2z128hhBBCCCGEEEI8EVkOMOl0OgYNGsTcuXPp0aMHCxYsMOZdSql06dL4+Piwa9cuYmJizNbFx8ezfft2fHx88Pc3BRuaNGkCqGTZqW3YsMGsDUBgYGCa7fft28eDBw/M2js5OVG7dm3OnDnD5cuXLbbZuHEjjo6O1KlTJ72X4MXjmirA5FcPxtyDvish6Gto9tmj71ujgbf3mx6vHwEJEWDvAnlLPPp+hRBCCCGEEEII8cRkKcBkGLk0d+5cXn75ZRYuXGg1uASqitugQYOIjo5mwoQJZusmT55MeHg4gwYNQqPRGJcPGDAAOzs7vvjiC7NpbCdOnOC3336jVKlSNGvWzLg8ICCAxo0bs3XrVtatM1Ut02q1fPqpqkA2ePBgs2MPGTIEgFGjRqHX643L586dy6lTp+jRo8dzk6g7x7ilSNrtml/9q9FAqWZQezDYWD8HMs3RDT46b76saE1wcM3efoUQQgghhBBCCPFEZCkH04QJE5g3bx558uQhICCAiRMnWrTp1KkTVatWBWDEiBGsWbOGqVOncujQIWrUqMGRI0dYv349VatWZcSIEWbbBgQEMG7cOD799FMqV65Mt27diImJ4ffff0er1TJr1izs7My7PGPGDOrXr0/nzp3p3r07Pj4+/PPPPxw9epRBgwbRtGlTs/b9+vVj6dKlLFmyhIsXLxIYGMiFCxdYsWIFvr6+TJkyJSsvyYvBp6rpftFaj+cYrvmhxeew6TMV0Go6+vEcRwghhBBCCCGEEDkuSwGmS5cuARAdHc0XX1hPvly8eHFjgMnV1ZXg4GDGjx/P8uXLCQ4Oxtvbmw8++ICxY8cacyOlNHr0aIoXL860adOYMWMGDg4O1K9fnwkTJlCrlmVwo3z58uzbt4/Ro0ezfv16oqOj8ff3Z/r06bz11lsW7W1tbVm9ejVTpkxhwYIFfPvtt3h5efHqq68yceJEvL29s/KSvBjKtIFX10HcfSjR+PEdp8G76iaEEEIIIYQQQohnSpYCTPPmzWPevHlZOoCHhwfffPMN33zzTaa36d27N7179850+4CAAJYtW5bp9o6OjowZM4YxY8ZkepsXXvEGud0DIYQQQgghhBBCPKWyFGAS1hlyOUVGRuZyT8SzRKvVEhsbS2RkJPb29rndHfEMknNIZIecPyI75PwR2SXnkMgOOX9Edsk5lDWGWEfKPNbWSIApB0RFRQHg6+ubyz0RQgghhBBCCCGEyHlRUVF4eHikuV6jzygEJTKk0+m4ceMGbm5uZlXxckKtWrXYv39/ju5TPB0iIyPx9fXl6tWrUrkwC+Q9YSLnkDB4lPeFnD8iO56F80f+XjzdnoVz6HnzPL0n5PwR2WU4h/z9/fnvv/9yuztPPb1eT1RUFD4+PtjY2KTZTkYw5QAbGxuKFi36WPZta2srH5rPOXd3d/k/zgJ5T1iSc0hk530h54/Ijqf5/JG/F8+Gp/kcet48j+8JOX9Edj2P74vHJb2RSwZph57EU8FaJTwhXmTynhDCkrwvhLAk7wshzMl7QghLgwcPzu0uPFdkipwQuSQyMhIPDw8iIiIkai4eiZxDIjvk/BHZIeePyC45h0R2yPkjskvOocdDRjAJkUscHR0ZO3Ysjo6Oud0V8YySc0hkh5w/Ijvk/BHZJeeQyA45f0R2yTn0eMgIJiGEEEIIIYQQQgiRLTKCSQghhBBCCCGEEEJkiwSYhBBCCCGEEEIIIUS2SIBJCCGEEEIIIYQQQmSLBJiEEEIIIYQQQgghRLZIgEkIIYQQQgghhBBCZIsEmIQQQgghhBBCCCFEtkiASQghhBBCCCGEEEJkiwSYhBBCCCGEEEIIIUS2SIBJCCGEEEIIIYQQQmSLBJiEEEIIIYQQQgghRLbY5XYHngc6nY4bN27g5uaGRqPJ7e4IIYQQQgghhBBC5Ai9Xk9UVBQ+Pj7Y2KQ9TkkCTDngxo0b+Pr65nY3hBBCCCGEEEIIIR6Lq1evUrRo0TTXS4ApB7i5uQHqxXZ3d8/l3ohnhVarZePGjbRs2RJ7e/vc7o54Bsk5JLJDzh+RHXL+iOySc0hkh5w/IrvkHMqayMhIfH19jbGPtEiAKQcYpsW5u7tLgElkmlarxcXFBXd3d/lQE49EziGRHXL+iOyQ80dkl5xDIjvk/BHZlVPnUERCBE52TjjaOuZg755eGaUEkiTfQgghhBBCCCGEEFkw7/g8Gi5pSNc1XUnSJeV2d54KEmASQgghhBBCCCGEyKSfj/zM//77HwCXIy9zNvxsLvfo6SABJiGEEEIIIYQQQohMWH52OT8c/sFs2ebLm3OpN08XycH0hOh0OhITE3O7G880e3t7bG1tc7sbQgghhBBCCCFeUOP3jLdYtuzsMl4OeJlkfTJF3dKusva8kwDTE5CYmMjFixfR6XS53ZVnnqenJ97e3hkmFxNCCCGEEEIIIXLSiXsnjPd7lOnB8JrD6bCqAzdjbtJyRUsANnXbhLerd251MVdJgOkx0+v13Lx5E1tbW3x9fbGxkVmJj0Kv1xMbG8vt27cBKFy4cC73SAghhBBCCCHEs0qv1zNixwg2X91Mt4BujK031mx9VGIUjraOONg6ALD7xm5+PvIzAE19m/Jp3U8BCCoRxJzjc4zb/XfrP9qWbPuEnsXTRQJMj1lSUhKxsbH4+Pjg4uKS2915pjk7OwNw+/ZtChYsKNPlhBBCCCGEEOI5cy78HD8f/ZmhVYdS0qNkju9/f9h+9t3Yx+WEy2y+qnInLT+7nHeqvUNep7wAXIq4RPtV7alSoAp9y/dl5PaRJOuTjfso7l7ceL9z6c4sOLmARJ1KiRNyM0QCTOLxSE5WJ6GDg0Mu9+T5YAjSabVaCTAJIYQQQgghxHNm0MZB3Iu/x7kH51jZcaXVNlqdlrnH51KlQBXqFK6T6X3vD9vPwA0Dra47/+A8eb3zkqxLpv2q9gAcuXOEi3sumgWXAHzy+Bjv+7n7sa3HNmYemcn8k/NZeW4lLYu3pGGRhpnu1/NC5ms9IZIzKGfI6yiEEEIIIYQQz6dtV7dxL/4eAOcenON69HUO3z5MjDbGrN0fZ/7g+0PfM2jjIHbf2E1CcgJn7p9h29Vt6PV6q/sOuRmSZnAJ4OS9kwBMCplktjwyMdKibbWC1cwe53HIQ78K/YyPJ+6dmM6zfH7JCCYhhBBCCCFeMMm6ZKK10Xg4euR2V4QQL7CE5AT0ej1Odk6sDF3JmN1jzNa3XtEagHYl2/FZ3c+wt7UnPimeL/d9aWzz+qbXCfAK4Gz4WQDG1x9Pl9JdzPaj1+sZtHGQ8fG7Vd8l4VwCPhV9CIsLY8aRGWy7poJTf5z9I90+f1b3M8rkLWOxvKBLQaY0msLIHSO5Hn2d5WeX0y2gW9ZekGecBJiEEEIIIYR4Qej1ekLCQvjmwDecun8Kext72pRoQz7nfKCHDZc2cCPmBgCLghZRuUDlJ9q/hOQEHG0dn+gxhRA5JzIxki9DviRJl0T3Mt2p6V3TartYbSz9/+nP6funcbZzxs3Bjduxt9Pc798X/ubvC38DqnpbaobgEsCEPRPI75yfcnnLUcClADHaGL47+J1x/fvV36df2X6su7SOoJJB3E24y4wjM9gftp/9YfuN7d6o8gYzj8wEwM3Bje+afke5vOXI45AnzX4GlQxi5I6RAIzfM14CTEIIIYQQQojnT3xSPO1XtScsJsy4TKvTsub8Gqvte6/rza+tfqWWdy3jslhtLFejrlLCo4SxslJOiEuKo9faXpx7cI7ZLWdnKaeKEOLpsPnyZj4I/sD4eNu1bfz78r842jligw1J+iRjAPnX479y+v5pQL3/45LijNu18GvBmLpjaLS0kdXjLD2zFICeZXtSpUAVRu0YBUCRPEVwsnXifMR53vr3LQDal2zPXxf+Mm6b1ykvAysOJCkpybiscB7rFco7lOxgDDCVz1fe7LMwPW1KtGH9xfUA3Iy+meb+n0cSYBJCCCGEEOI5F50YTe91vY3BpfL5yuNg48DhO4fxdPTkQcIDq9sN3DAQDRqc7JzMLgABfm31Kw8SHlDQpSCV81fOUq5MvV6PVq81Pl54ciHnHpwDYNSOUWzqtgk7m6fzUmXs7rGsv7ie4O7BuNhLlWghDAyBHoPYpFjq/V7PbNmclnO4H3+fn4/+bHUfb1Z9k77l+pLHIQ97e+0lLimOt/99mxP3Tpi1s9XY0qtsL/zc/Th17xTJ+mTeqPIGSbokAv8INLZLGVwCGFdvXKY+q4bVGEZRt6LGx9ULVs9wG4Px9ccbA0yXIi+9UAEmSfIt0pSQkMC7775LwYIFcXJyomHDhuzfr4YMBgcHo9FoWLt2LVWqVMHJyYk6depw7Ngxs33s3r2bxo0b4+zsjK+vL++++y4xMaYEbcWLF2fSpEkMHDgQNzc3ihUrxi+//PJEn6cQQgghxNMuIiECvV7Pndg7zDk2h8jESJadXUbvdb1Zc36Ncd2d2DsW2+r1et7d+i4XIi4A0NS3KUvbLWVB0AKO9T9GcPdg3qn2DnW867Cp2yaO9T/GLy1M38f06C2CS6CCT8OCh9FnXR+WnV2WpeczfMdwxkeMp/ri6iw+tZjph6Yb192Nu8vWq1uztL+cptPrOHXvFP9e+Zdxu8fRf31/bkbfZMnpJfwZ+idxSXHGaTA6vY4b0TeITIzkjzN/sOHShlztuxBPijZZy6l7p5h+cDodV3UkITkhw21e2/gaH23/yPh4eM3h/NP1H/b22sux/scYWmWocQqaq70r+Z3zM6beGFoXb82aTmvY8vIWvmj4Bf++/C/FPYqj0WgYXms4I2uPxMPRg3zO+RhRa0Sax6/hXcPq8uXtlwPg7uDOwqCFDKg4AI1Gw+yWs+ldrjevVXot06+Ls50zzXybAXD49uF0E48/bzT6F+WZPkaRkZF4eHgQERGBu7u72br4+HguXrxIiRIlcHJyQq+3/gf6SXC2c87SL0vvvfcey5cvZ/bs2fj5+TF16lTWrFnDuXPnOHr0KE2bNqVcuXJ89913eHt788knn3D8+HHOnj2Lvb09x44do379+nz++ee0bduWO3fu8Pbbb1OlShXmzp0LqABTVFQUn3/+OS1btmT58uWMHj2aEydOULZsWYs+pX49n2VarZZ169YRFBSEvb19bndHPIPkHBLZIeePyA45fx4/vV7P4tOLuRN7hw2XNnAt+hrNfJsRmRjJgVsHLNpr0KDH9LXey9GLrgFdqVawGl/u+5KrUVeN69Z2Xksx92IZHn/wxsGEhIWYLXexc6FHmR7MPTHXYpv/+vyX6WlzleZXsrrc29WbsJgwCjoX5N/u/xqn5FlLqJvT7sffZ/3F9XQL6MaMwzOYc3yO2frBlQYz69gss2XvVX/PLLeLwaZum/B29X6s/X2RyWdQ7rkceZmIhAgq5a/E0M1D2XVjl9l6T0dPlrdfTqIukb7r+nIv/h5VC1Tl8J3DFvtqXLQxPzb/8bH0c+/NvQzeOBhQOZterfAqibpESnqUBKyfQ9pkLbY2tthosj8OZ9nZZUzYM8H4OPV042dNejGPlJ7OcafPsbikOOoszp055SG9QjI9jDcmJoYZM2Ywb9482rRpA8CsWbPYtGkTc+bMoVYt9eYYO3YsLVq0AGD+/PkULVqUlStX0r17d7766it69erF+++/D0Dp0qWZPn06TZo0YcaMGcYAUVBQEG+++SYAI0eO5NtvvyU4ONhqgEkIIYQQ4lFok7UcvnOYGoVq5MjFw+Ok0+v44dAPFsGMLVe3pLlNyuASQHhCOLOPzTZb1q98P4bVGIatjW2GfdBoNMxupbYPjw9Hj568TnnR6/VoNBreqvYWM4/MNDtGjYU1qFygMtObTldJw1PRJmsJTwhnx7UdVo/5ZtU3qVKgCq9vep3bcbd5d8u7xpFMn9X9jO5luhMWE4aLvQvuDuYXOBsvbeTDbR9SJE8RlrVfhpuDW4bPMSW9Xk+7le2ISowyq06VUur/D8BqcAlUOfSO/h2z1AchnmZ6vZ6vD3zNbyd/AzCr2pZSr3K9KORaCIDgHsHG5WExYbRY3sKs7cCKAx9bf+t416FKgSrciL7BwIoD8cnjk+E29rY5F6wMLBrIBEwBpvvx93Ns308zCTAJq86fP49Wq6VBgwbGZfb29tSuXZtTp04ZA0z16pnm1ObNm5cyZcpw6tQpAP777z/OnTvHokWLjG30ej06nY6LFy9Srlw5ACpXNlUn0Wg0eHt7c/t22hUEhBBCCCGyIjoxmpbLWxKljQJgbqu5aVY20uv1XIy8yNE7R4lKjGLq/qmU8CjBT81/IuRmCP9c+oevm3yNh6NHlvqgTday8txK6vnUw9fNN812er2e4duGs+nypkztt2/5viw4uSBTbd+q+lamgkupeTl5Ge8bRsM72jryXvX3aODTgAEbBhjXH71zlO8PfU/bkm2JSIigWbFm2GhsuBp5laCVQWb7rWpflcPawwB8G/gtL/m9RGJyonF9ymlyn+/9HHdHdz7e8TEeDh783flv4zSasJgwPtz2IQDXo69T//f69CnXhzYl2mS6Ct6+sH1EJUZZLB9caTBbr2415ocCqFawGp38OzF291jjsveqv4ejrSOh4aGsPLeST3d9yo3oG7Qq3oqSniUz1QchngYRCRFcjrxsfO9cj77O+ovrOXLnCMFXg43tUgaX8jrlxVZjS7Q2mnYl21ndr7erNwf7HORK1BU2Xt5IQlICVQpUeWzPQ6PR8Fub30jWJedo4CizCrgUYHClwawIXcGkhpNoUKRBxhs9ByTA9IQ52zkT0isk44aP6diZZZg5mXpKneFXq/QY1ut0Ol5//XXeffddizbFipmGZace1qrRaNDpdJnuqxBCCCFEetZdXGcMLgEM2DCAbwK/4dS9U3Ty74Svmy8jto/gn0v/WN3+YsRF2vzZxvh49bnV9KvQL0t9WHhqId/89w0Ax/of48S9Exy/c5z2pdqj0WiIS4pj+sHpFHIpZAwuFXcvjlanxSePD3NazmHx6cUqWXe53rjauxKXFIcevTHAtLz9ckJuhtC2ZFs8HT2xtbFlf9h+Tt8/TYdSHR5LQuqa3jXZ8vIWuv/dnbtxdwFYEbqCFaErAGhXsh2TGk5i/J7xZtv5e/jThS50K98NnUbHS34vAeBg68CAigOYe9xyCt5H21Telnvx99h7cy8v+b1ErDaWD4M/tGi78NRCQsJC+LPDn5l6Hn+d/8ti2cKghVQpUIU3q75JtQXVjMvL5ytPC78WrLuwjpCwEMbVG0fXgK4AxgATwE9HfuKnIz+xr/e+LH0PFyK3JOuSGbhhIGfDz/JT85+4G3eXMbvHpLvNiFojaFK0CR6OHsRqY9NNaG1va08pz1IM9Rya0123ykZjg41t7o1Yfbf6u7xb3fJa+HkmAaYnTKPRPBPVJvz9/XFwcGDnzp306tULUPNUDxw4YJzyBrB3715jsCg8PJyzZ88ap7ZVr16dEydO4O/v/8T7L4QQQogX15LTS/gi5Av83P34o90fbLliObVsWPAwQE17+qvTX2kGl6yJSYrJuFEqKfswLHiYMYg0MWSi1fYdSnVgXP1x2GnsjD/e9S7X26yN4Tvl3FYqGFMmbxmLXEW1vGs99rwfBVwKsKDNAs6Gn2X+ifkcvH3QuO7vC3/z94W/zdrPbjmbsh5lCd4UTFAJyxw6VQtUNd4fWHEgV6OuWozo+iD4AzqU6kD5fOU5evcooKpDBV8NJvhaMKCCPVqdFnsby9ELOr2Oa1HX8HXz5fCdw6w+vxqAl4q9hI3Ght7lehtHV9jZ2PF3579pt7IdVQpUYWDFgbg5uBmnEKZU2qu0xdShbmu6sbbL2gxeRSFyX8fVHbkceRmAN/9902qbhkUaMrLWSN78901eq/iaMbgKZHlkp3j+SIBJWOXq6srQoUP56KOPyJs3L8WKFWPq1KnExsby2muvceTIEQAmTJhAvnz5KFSoEKNHjyZ//vx06tQJUPmU6taty1tvvcXgwYNxdXXl1KlTbNq0ie+//z4Xn50QQgghnleJyYl8EfIFoJLRGnJf2mhsWN1xNYtOLWLJmSVm2xjap1bMrRgdSnXAyc6Jrw98bVyerEs2a5esS+brA1+TmJzIqDqjsLexR6/Xs/vGbsrkLUN+5/xmOYEyM/2thV8Lq4ERa9Ka7vckFXUrSlG3otQpXIcZh2dgb2tvkQOqRqEazGs9D1A/XKalWbFm/N35b84/OE/dwnX598q/xtese0B3/jj7BwBrzq9hzfk1gMov1TWgK10DuhKdGE3zZc2JTYql+oLqzG89n+qFzEuMzz0+l2kHp+Fm72Y2uq1ygcoMqDiA1Pzc/Tja72imCuYsb7+cD4I/4N8r/wJwJeoKEQkRLDi5gKN3jjK92XSc7J7tYjXi2ZCsS+Zs+Fn8vdQP/ul9puy7uc8YXEpLx1IdmdhQBcXXdVmXcx0Vzw0JMIk0ffnll+h0Ovr27UtUVBQ1a9Zkw4YNeHl5mbV57733CA0NpUqVKqxZswYHB1U9pHLlymzbto3Ro0fTqFEj9Ho9pUqVokePHrn1lIQQQjxH/jjzBxsvb+SNym/g5uCGr5vvMzFKWJjcj7/P3bi7lPIolancQOHx4dhobLgQcYFkXTI1vWsSo41Bg4arUVe5HXs7zV/dR9QaQXGP4oyuO5pOpTuhTdYy69gstl/bzt6be43tgkoE0aRoE4JKmucL+vX4r8YkrfFJ8Wbr5p2Yx8JTCwFoUbwFdQvXZeW5lYzdPZZyecvRukRrdly3ntg6NW9Xb7wcvZ7ZakOu9q4MrzUcgAr5KvBB8AfGdWPrjU1rMwt+7n74ufsBappdPZ96eDl6YWtjS+OijXl7y9tm7cvmNRWHyeOQh/o+9dl8ZTMA/f/pz6sVXuXDmmoqXZIuyZiwO2VwCaBi/opp9imz1Zg1Gg3fBn7LgpML+OrAV4DKJ/Xz0Z8BNcLu1YqvZmpfQmTHZ7s+468Lavqnn7sfKzuutBpkik+KZ8imIYAasZekSzKuC+kVgpOdE8FXg6lesLrFtkKkJAEmkSYnJyemT5/O9OnT02zTsGFDjh8/nub6WrVqsXHjxjTXX7p0yWLZ4cOHs9JNIYTItHPh5/j6wNd4OnnSq2yvTCd/FU+f3Td28/nezwFVrQmgUv5KzG89P1eSeWbFmftnuBh5kdbFW2d6m2RdslkARq/Xo9PrHilh89PiwoMLvLL2FeKS4nCwcWB/n/2cvHeS/279x/Kzy/Fw9GBCgwlsubKF0PBQnO2c+TP0T7NqaQuDFtJnXR+r+/+q8VdciLjAjCMzKJKniNn0sgr5KgAwrMYwtl/bblz+csDLjKlnPd/IZ3U/MwZLYpNizdYtPbPUeP/kvZMkJicaE0Cfun+KU/dPGdev6bSGu3F3OXb3GH3K9cHB1oHIxEgOhB0g0Dfwqa9wlxUv+b3Esf7HSExOJEmX9MgBYI1GQ37n/MbHTXybMLvlbAZtHGRcVsKjhNk2kxpNYvOizcbH807Mo5Z3LRoXbczRO0eJ0ZpPc2zp15JqBatRs1DOjAbTaDT0q9CP8xHn+TP0Tz7b9ZlxXURiRI4cQyh6vZ6lZ5Zio7Hh5YCXMx0IfN6Fhocag0ugRnRejLhIgFeARdvgq8Ek69XIzEGVBtGjTA96re1FxfwVje/bZsWaPZF+i2ebBJiEEEK8EBafWszkfZONj9deWMuCNguoWrBq7nVKZNmiU4vSLCF+7O4x/rrwF11Kd7G6/sz9M+R1yksBlwKPs4tpmnlkJj8e/tH4+Pid47Qp0YZlZ5fxIOEB3ct0p75PfbNtTtw7wac7P+Xcg3O08GvB5EaTWX52OV/u+xJ/T39+b/s7d+PucuDWAWK0MfQq2+uRLq70ej1zjs9h7829DK853Gw0SE67GnWVIRuHcC36mnFZoi6Rl/962aLkdcdV6Zd5Tyu4VL1gdVqXUAG8N6taH9EEUMqzFFULVOXwncMA6VY0esnvJYbXHM7XB75m2dlldPbvzKLTizj/4Dw3Y24a2228tJFv731rdR+fN/icEh4lKOFRwmyEkruD+3N98eZg64CDrUOO7rNO4ToEdw+my5ou6PQ6SnqYV2pztnNmSbsl/HDoB3Ze3wnAW/++xYI2C3hnyzsA1CxUk77l+1LPp95jS8LdpXQX/gw1TzTu6ej5WI6VljP3z7D24lraFG/DlP1TcHNwY1rgtGcuQJ2kS+LonaOUz1ceW0x9/+fSP8ZprmExYTQu2pi7cXc5fvc4LYu3pFzeci9k0OnY3WMWyy5FXCLAK4D4pHjOhp+lUv5KHLp9iEkhk4xtBlQYgIu9C/90/ee5CniLJ0MCTEIIIZ5bsdpYPtz2IfvD9pOQnGCxvu/6vvzY/EdqFKqBq71rLvRQZESv1xOtjSYhOYGfj/xskTunUZFGJOoSOX73ODHaGMbuHssPh37g5YCXGVR5kHEqwNYrW3l3q6rk8meHPyntVZrQ8FCuRF2hUZFGOX7xm9Jf5/9iUsgkorXRZsvnn5zP/JPzjY8N+Voq56/Ma5Ve4+ido8w5Pse4ftPlTWa5e849OMfsY7NZcHKBcURNlQJV0p3ik1pEQgRv/fsWR+4cMS57bcNrrOiwgl+O/kKzYs1oWKRh1p5wGtZeWMvi04s5eueo1fWpg0uPysnWienN0h59ndoXDb/gz9A/8XP3o23Jtum2dXdwN97vta6XxXobjQ0n7p0wPi7gXAAHWwcKuhTklTKvWEy7E9mTzzkfqzuuJklvfXRUhXwVmPHSDD4M/pCNl9WI+r7r+xrXf1bvM4vAVE6rUqAKLf1aGo8PllMsH7eJeydy+M5hs8p8tRbVYmm7pZT2Kv1E+5IdS04vYcr+KbTwa8GUBlMAuBN3hxHbRxjbzDo2yzj9EWDO8TkE+gbybeC32Nm8OJe++8P28/0hlfO2coHKxs/dD7d9yBzHOawIXcG6i5Y5lIZWGWp8L0lwSTyKF+ddJnJUYGAger0+44ZCCJFLrkZdpcOqDmZ5BMp4leHViq+yKnQVIWFqWtVb/75F2bxlmdNqDhceXGD9xfX0KNvDeNERnxRPtDaarw98TdE8RXmr6lsv5C+hT5Jer2fcnnEWv/qn9EOzHyjqVpRSnqUAOHH3BK+sfQVQFxw/HfkJOxs7BlcejFanZdSOUcZtB2wYwLAaw4xTmFImLX0UFx5c4PtD39O5dGcaF23Mtahr/H76d/qW74u3qzdzjs2xCC6l5+jdo7y39b1MtTXkdDG4HXs7U9vtD9vP7GOz2X1jt8W6yMRIWixvAcCys8uY1HAS7Uu1z9R+07Lz+k6z/wOA5sWaM63pNFadW2U2fahKgSrMbz2fvy/8zfKzyymfrzz/XPoHJ1snPqjxAeXzlcfJzonmy5pbHOfNqm/Sxb9LlioZFXMvxvs13s9U25bFW6ZZsrtDqQ7EJ8UbAwntSrZjcqPJVtuKnOPp5Jlhm/8F/o8NlzYwfNtw47JA38DHHlwycHd0N3uc2fepgV6vZ8f1Hbg7uFMxf0VWn1tNWGwYb1Z5M8O/RxEJEcYReilpdVrG7h7LwqCFz0wgYcp+FVTadHkTITdDiEyMhJUZbxd8NZgtV7bQsnjLx9vBXKLX69GjJ0Ybw5hdY2hXsh0jd4w0/rDWq2wvWvm1MuYDG7N7DNejr1vdVzH3Yk+s3+L5JAEmIYQQz43r0ddZdmYZTXybMGbXGGNwydfNl8GVBtPJvxMajYZ2Jdsx/8R8Y1Wo0/dP0+D3Bsb9bLu2jfVd1rPh8gY+2vaR2TFKepSUUQiPgU6v42LERc6Gn2Xs7rHEJcVZbeft6s3PLX62uDCskL8CPzX/ySzB8+rzq+lXoR8T9kwwy5kTkRBhDC4Z2r1R5Q2KuhV9pL53XK2mcW2+spn2Jdsbc178dvI3s3Yja42kc+nOuNq7svbCWkbtGIW/pz9j642lcoHK1F5U2+pIu4VBC1l/cT1/hv5JXFIcjYs2JqhEkEXABuC9re/xY/MfqVKgCpcjL1O5QGUSkhP448wflM1bllretbgSeYWBGwZabGujsUGn11ks/2TnJ3g6etKoaCMAEpITSExKTPP1OHbnGBcjL9KuZDtsNDbo9Xp2Xd9l0a5REbW/Tv6dqFmoJn+G/klH/474uvlio7Gho39HOvqr1/bjOh9bbN+3fF92Xt9Jz7I9jdM7hlYZmma/coKrvStH+h1hUsgklp5Roz+a+TZj8enFvBzwMqW9StO9THf8Pf2lXPdTplXxVsQlxbH09FL6lO+T4Wi1nORo62j2+M9zf/J+jffNKgum5eS9k/x6/Fc2XNpgsa5u4bpULlCZlaErcbJzokOpDhZtVp1bZbxfr3A9Ovh3wN/Tnx5/9+DY3WMM3zacbwK/sdhu/cX1aHVaanvXZu7xuRR1K0rf8n0t2mWHTq8jWZ/M7KOzWXdxHZciLwHwXdPvqJi/Io62jsb30YWIC2bbRiZGmj0umqco0dpoHiQ8MFteLm85Tt0/xexjs5/LAFNCcgLd1nTD1d6VRF0ioeGhxuT2BuXylcPbxZud13ey5+aeNINLoHKRCZEdGr0MQ8m2yMhIPDw8iIiIwN3d/BeK+Ph4Ll68SPHixXF2fjxzu18kcXFxXLp0iRIlSuDk9GyXd9Vqtaxbt46goCDs7Z/uhLTi6STnkLlrUdcYtHGQxRenGS/NsDrF52z4WV7+62WrF9QAkxtNZvTO0Rbry+Utx6yWs575i8fcPn8MXz8Mv77/duI346+raWlbsi2TG05O9xf7q1FXWXRqEYtOLbJYZ8grkTIPkqu9KzHaGJoUbcKXjb7EwdaBXdd3UdC1ILHaWGoUqmH8df9u3F3yOeUzHj9Zl8yEvRPSHWll0Lp4a75qkv7zuxVzi6jEKOOorOvR10lITjA+BohKjCKPfR40Gg21F9UmLimOcnnL8XqV13l/6/sW+3yzypvkc85nTIj+vyb/Y/7J+cbpEoVdC/NRrY9o4dcCvV7PyXsnjSPBUpvfej4DNgxAp9dho7GhgUMDvuv6ndn5c+TOEWNeJGu5ZwZWHMjduLt4OnryQY0PcmTKil6vZ/X51ZTPV95q8trH5UDYAbxdvSnqVhS9Xi8jG7Motz+DnqQp+6YYqwwazG01l5re6ScU33FtR5pVEQFsNba0LdmWNefXAJjlFbwdext7G3saL20MQLeAbmZV/FLms/P39Od69HWGVB7CywEv03BJ2tNiC7oUZHqz6ZT1KpvpHE7H7hxj6L9D0ev1jKk3hlhtLIfvHM7UZ2f5fOX5ve3vzDk2h+mHplPAuQCeTp6Ehoca2ywOWkzF/BU59+Acc4/PpbhHcfR6PVULVqWQSyHar1IjMEfVHkU9n3pPbOTak3D49mGzaZ+pDak8hLervo1Go0Gv11N7UW3ik01TNJsXa86HNT5kx/UdBJUIytSIwOfFi/QZlBPSi3mkJAGmHJDei63Vajl37hw+Pj54eDzbFyNPg3v37nH79m0CAgKwtX22EhOmJh9qIrtehHNIp9eh1Wktfv1NLTQ8lO5/dzebDmersSWoRBDjG4y3WpIX1MWwu4M7w4KHce7BOd6p9g6LTy3mXvy9DPu2OGgxfh5+5LHPk+3pBfFJ8ey9uZcyXmUonKdwtvaVGdGJ0Wy4uIHTR0/zYYcPcXJ8sgH769HXGfjPQKISo/Bz90Oj0VgkI+1Vthcf1/mY3Td2qylbxVpkKSHtqB2jWHthrdmyna/sRKfX0f+f/lyMuMhLxV7C3tae9RfXA9C7XG/qFq5rTAAM8GmdT+lRtgc7r+9k6Oah5HfOz4auG9h0eZPVEUQG9X3qG6ef2dnYsa/Xvhyvbnfy3kn+DP2T96q/h5uDW7oJ0A2qF6zOwdsHAZhQfwKdS3e2aLP92namH5zOyNojzUY6Odk6mV2YADQt2pTpzU35jnr83YOT906mefwdPXa8UBcwIm0vwt8wg7txdxm1fRQti7dkw6UN7Avbl6mppyO2jWD9JfX55GznjJ+7H6fvn06zfY8yPfi07qdsv7adt/59y2zd+PrjLQogdP+ru1mFw6yoUqAKC4MWprk+MTmROcfnsOv6LrMcb4+iSJ4i5HPOx9E7R/ms7me8HPAyU/dN5fj543zX8TvyuuZNd/uGSxoSkaAq99lobDjSL3v9eVpciLjArKOz+PvC31bXv1bxNYvpv5/v+Zw/zv4BwLH+lknAXyQv0mdQTshsgEmmyD1mdnZ2uLi4cOfOHezt7bGxeTbmOD9t9Ho9sbGx3L59G09Pz2c+uCSEyJwPtn5A8LVgepXtxcjaI622uRVzizc2v2EMLpXPV55pgdNwsnPCy8kr3f0bKkYtbbeUuKQ4PBw9yOuUl/F7xhvb9CjTQ1Uruhps/JUYzBP8Hul3JFtBpp+P/szsY7MBVWWqk3+nR95XSjq9jskhkzl85zCOto64ObjRpkQbJuyZYJyKFbsvljUX1qBBQ0jvkByvpBSrjWVf2D7q+dQzBgrH7x7PjZgbABy/d9ys/dh6Y6lZqCbFPYoDWFRVy6wBFQYYA0xVC1RlQdAC47pl7ZcRcjOEmoVq8veFv40BJmsjnyaGTOS/W/8Zp2PcjbtLx1UdzSqgAYT0CmHq/qmsCF1BubzlmPHSDNacV+XoB1Yc+FhynJTPV57y+cobH/cu15vlZ5dz7sG5NLcxBJcAmvtZ5jACaFy0MY2LqlEPG7tupOUKNWUiZXDJy9GL8IRwtl7bSnh8OF5OXuj0OsJiwqzus1rBakxqOEmCS+KFlN85P7Nbqc94w+jBy5GXAfUdNywmDG9Xb7NRcAnJCWy4rKbFDag4gH7l+5HfOb9xm8q/VbY4zrKzy+hSugujtpsHv7uW7kq7ku0s2r9e+XU+2/0ZbvZuxs/klAK8ArgadZWpjaey+8Zujt05ZvzMPnLnCHfj7hr7lJJer6fPuj6ZDl41821GtYLVKJuvLDejb/L53s/xc/czfpZdj75uHJ1cr3A9NBoNw6oPY13YukxNM/Rx9TEGmNIatfysOX73OD3X9jRb5mznTL3C9dhydQuA1dxyH9T4gIjECBr4NLBYJ0ROyHaAaerUqYwcqb7079mzh7p161q0iYyMZNy4caxYsYKwsDC8vb3p2rUr48aNSzP6tXjxYqZNm8aJEydwcHCgXr16TJgwgZo1rQ8lDQ0NZfTo0WzdupXo6GhKly7NkCFDePPNN60GdRISEpgyZQoLFy7kypUreHl50bZtWyZOnIi3t3c2XhFzGo2GwoULc/HiRS5fvpxj+31ReXp65uj/jxDi6TTv+Dz+99//jI8XnlrIhksbaFeqHQ18GlCncB1+OfqLsUIKqOpOPzb/kcoFKmf5Yj5lCe1uAd3MAkyvVXyNwnkK08KvBXFJcWZVvAyq/FaFNsXb8EmdT3BzcEOn12V6tMqys8uMwSWAz3Z9xoWICwyrMQxQX+Jvxdxi8+XN1C5cm+qFqmd6eP/qc6stqq4ZynUbrLmggmZ61ND575t9T6BvYKb2n5GUibcB8tjnsUh27WznTD6nfFyLvkbPsj3pFtAtR45dJm8ZtvXYxp3YO5TJW8ZsnaOtozGA0r1Md+KS4oz5uAxer/y6MYG2YQSBQerg0uG+h7G1sWVc/XEMrzkcOxs7bDQ2ORYozIoWfi2MF2UNijRg7429JOuT+a7pd8w4MsM4+mFQpUFmFdHSUjhPYX5p8QtDNg0xLvux+Y/UKViHmr+r72QHbx+kebHmbLmyhfvx93Gzd6OgS0HOR5wH4NdWv1LLu1ZOP1UhnkmGqm0/H/2ZRF0if4b+aQx+zG89HzcHN/I752fawWnGYMgrZV4xC+RoNBqmBU7j/eD38XD0YOvLWxm+bThbrm6hx989zI43oMIAhtUcZrUvzf2aGwPNKafjFXMrxtoua9HqtMQnxePm4EagbyDJumTmn5zPt/99C6jRjqlHRQEcun3IIrj0Wd3PaF+qPbUX1TYue73y67xd7W2L7TuU6oCtjS1RiVF8tP0jsxxuj5Irr5BLIbP+JOuSszQi9mlzNeqqRXBpQIUB9CrXC2c7Zxz2Ohjz16WWxyEPXzf52uo6IXJCtgJMp06dYsyYMbi6uhITE2O1TUxMDE2aNOHw4cO0aNGCnj17cuTIEb799lu2bt3Kzp07cXU1Lw09adIkRo8eTbFixXjjjTeIjo5myZIlNGjQgA0bNhAYGGjW/uTJk9SvX5/Y2Fi6d+9OkSJFWL9+Pe+88w5Hjx7ll19+MWuv0+no2LEjGzZsoE6dOnTp0oXz588zd+5cNm3aREhISI4GMRwcHChdujSJiWknxBQZs7e3l5FLQjwjQsND0aDhxL0TLDq1iE/qfEKAV4DVMtKp7b6x2yy4ZHAn7g5zj89l7vG5rOuyzmKkycjaI425J7JrYoOJfH3ga35s/qPZlLUpjacw5MEQXv7rZYtt1l9aj5+HH5cjLhN8LZgVHVbg6+ZrXH89+joHbx2kdfHWxuCTXq9n4l7L6mVzj8/l/ervk5CcwOCNg40Jrw2BjjeqvMHAigONo420yVpWhK6gasGqlM1b1rjvlIGrlAq6FGRsnbG8tfUti3XfHfwuxwJMqaeQpQwu2Wps2dd7HzYaG+xs7IhPis9wKmRW5XXKS16n9KdOAPQs29MswBToG8jb1d62qNBmTZ9yfcwuVPI45Hm0zuaQqgWqGu+PrTvW7Pwt7l6cTqs7UcC5AO9Ue8fK1tbVLVyXrqW7siJ0BXns81CzUE1ssKGafTUOaQ+pqSp3jxvPt+Z+zRleczizj82mSdEmGeaZEeJFUil/JeP9ucfnmq3r/09/i/YBXgH45PGxWN6sWDN+afELZfOWxd7Wnj7l+xhHroAKpL9d9W1eKWs9p1pqjYo2YlTtUWy8tJHvm6sfb+xt7LF3MP1YYmtjy8CKA9lxbQcHbh1g7O6xuNi50LRYU7PPb0OVVlCjrww/mAD81uY3Vp9bzQc1Pkgzl6HhM9XNwY3/NfkfbVa0ITwhnPYl2z9SrrOCLgXNHt+MufnIRR2eBtamSVYpUAVvV3X9mlG+PyEep0cOMCUnJ9O/f3+qVKlCQEAACxdan4M7depUDh8+zIgRI5gyZYpx+dixY5kwYQJTp05l/HjTL8WhoaGMHTuWgIAA9u3bZ8xb9O6771K7dm0GDRrE6dOnsbMzdX3o0KFERESwdu1agoJUZZ+JEyfSpk0bZs2aRc+ePWnatKmx/fz589mwYQOvvPIKixcvNn5QzZ07l4EDBzJy5Ejmz5//qC+NVTY2Ns98UmohhMiMiIQIuqwx/0UzZQLKxUGLqVTA9AU7SZfE+ovrmXZwGoMrDeaLkC/Mtp3Xeh7nH5xn1rFZxuk3QX+aqrgFlQiiesHqVof/P6qU1atSsrexp2zesux8ZSen7p/Cy9GLHw7/QPDVYABmHplpbDt1/1RG1xmNt6s3MdoYWq9oDahfiac2mcqliEvGxKOgpm3FamONFxjTDk6jk38nq9XUZh6ZycwjM6mUvxLNijXj12O/EqWNAqCzf2e6lO5i9ppXK1iNARUGEJMUQ/DVYD5v8Dl2ejsq2VfimPYYZfOWpUnRJvx89GfOPThHpfmVeL/6+zjZOeFo60gLvxZpXgjsvbmXL/Z+gbujOz3K9CA0PJRSnqVISEowVgQCcLN3o1+FfsYE20vaLTGOGgNwssu9v5EOtg7GZN8ABZwLpNk2v3N+7sbdBWBR0CLK5Sv3RPqYWZULVCa/c3583Xwt8nmV9CzJH+3/IL9z/iyN8tNoNIyrP44hlYeg1WlxsXdBq9XiZ+fHIe0hbsTcMAtmdvLvhIejBx/W/DDHnpcQz4ti7sWws7EzyxmYljz2eZj50kyr6zQaDfV86hkf1yxUk6a+Tdl6dSsA23psw9Xe1eq2aeldrje9y/XOsN1rlV7jwK0DAHy0/SMaF23Mj81NxRMuRlwEVKL/d6qaB7OrFaxGtYLVMt0nV3tXtr+yncuRl81+tMkKQ+DF4FLkpWc2wJSYnMhPh38CVODs9cqvcynyEk18m+Ryz4RQHjnJ96RJkxg/fjwHDx7kq6++Yv78+RZT5PR6PUWLFiUyMpKwsDCzkUrx8fH4+Pjg4uLC1atXjUGeTz75hMmTJzN//nz69etndsyhQ4cyc+ZMNmzYQMuWKh/A2bNnKVOmDE2bNmXLli1m7UNCQqhbty49e/Zk8eLFxuX169dnz549XLp0CT8/P7Ntypcvz4ULF7hz5w5ubhnP6YXMJ7wSIiVJLCey60mcQ6krfaXnjzN/EHw1GG9Xb5adXZZu224B3Xi1wqv4ufvx/aHv+eXoLxZtvg38liZFm5hNNZuwZ4LZvhsUaZDml+8nadf1Xbyx+Q2r6471P8b+sP1Wy8KnbgcwZOMQ9tzcg7OdMyNqjTCbrveo1nVZZ/HF3HD+tGnTBgcHFeh5Y/MbVsvJty/ZnkmNJlks1+q0VF9QPd1jt/RryddNvjaeQ2ExYdyKvWXMf/W0uBBxgY6rVFDxlTKvMLruaBadWsTaC2u5EHGBGG0M/cr3I6hkEP3W9aNR0UZMazotdzudhoTkBDRozAJ4OU2r1fLt6m9ZELPAbPmbVd9kaJWhj+244vnxIn8POnrnKOcfnGfM7jGAet+42LmYjaSc2ngqjYo0yvVRkWnpv76/WU63Ym7F6Fm2Jz3L9uSVta9w+v7pHJ1ynVpWzp/r0df5ev/XbL6yGVDV5DITSHsa/Xj4R+OPWUMqD8nSaFRh7kX+DHoUjzXJ9/Hjxxk/fjyffvopFSpUSLNdaGgoN27coFWrVhbT4JycnGjcuDGrV6/m3LlzlC6t5iMHBwcDGANIKbVq1YqZM2eybds24/r02teuXRtPT0+2bdtmXBYfH09ISAhlypSxCC4Z9vPdd9+xd+9eWrRoYfV5JSQkkJCQYHwcGakSf2q1WrRabVovhxBmDOeKnDPiUeXUOfTzsZ+5HHmZYdWHmeV4iEyMpPf63hTOU5ifm/2cbpDpZsxNYxl0RphGWQABAABJREFUayrmq2iWzHn52eUsP7s8zfa/tvhVTfXRqSCGwTtV3kGbrGXV+VXU9a7LxzU/fireQyXcSqS5Liouih1Xd6S7fZX8VYzPY1rjadRZWoe4pDiz4NLmLpu5F3+PHut6pLUbC+1Ltue9qu+R1ymvxetkeJyUlGT8v/24xscMjx3O6XDz4fd/XfiLFr4taFjEVLp61rFZzDg2I93ju9m7MaHuBJKSTL/U53PIRz6HfE/F/1tKvi6mAFwZzzJotVq6+3enu393tMla4pPjjclk/+r4F272bk/dczCwQY1OSvneyWmGEUwpNfRpSL8y/Z7a10U8XV7k70HlPMtRzLWY8bGrrSs9A3py5t4ZNl/dzOLWi/FzV++vp/X1mdF0Bt8f+Z6Fp9UslitRV5iyfwpzjs3hbrwa5enr4vvY+p+V86egY0GmNpzK94e/Z+7JuZwPP5+tfun0Ov44+wfVC1YnwCvgkffzKP69/K/xfv+y/Z/a8+NZ8CJ/Bj2KzL5OWQ4wJSUl8eqrr1KuXDlGjUq7PC+oABNgDB6lZlgeGhpqdj9PnjxWcyClbJOZY2g0Gvz9/Tlw4ACxsbG4uLhw/vx5dDpdpvqUVoBp8uTJZtP6DDZu3IiLS8b5RYRIadMmy4TBQmRFds6hu8l3+TlK5Zn55/I/APjb+WOvseeUViXEvB5zneVrl+NqY32ofbI+mV+izUcg1XaoTTvndoTrwvG08cQ22ZYY9xiuJ19nY9xGwnTmlaZcNa686voq82Pm08KpBTf23+AGlhVtAGpSk5qeNSEeDm87zGEOP/Lzz0n1HOqxJ3EPtR1qo0PHgUQ1faD+H/WNF/yuGldi9DEW21WOr8y6deuMy0raleRC0gXj40aOjdi7ZS96vZ6Gjg05lHjIbD+FbArxsuvL7E/YT0iiyn3hZ+tHnft12Ltlb7r9Tn3+9KEP022mc1t322z5u9ve5fU8r+Np40mULooZ0abgUgPHBtRxqMOlpEsUsyvGsthlJOoT6e7Unc0bNmf42j0tXnV9ldPa0+hP61l3Zl3GG7zgnDROvO32NkcSjxDoFIhjrOMz9f8tng4v6veglJNILp66yLrz66ipr0lV16qc2HmCE5zIxd5lTlnKUsuhFvsT9xuXGYJL+WzycXTHUY5rjqe1eY7IyvljSKb+38X/WHfn0T/jDyceZnms+pFsoqdlHsW0xOvj2R6/nRoONchnm++Rjm0Y2NDTpSdbN259pH0Icy/qZ1BWxcbGZqpdlgNMkyZN4siRI4SEhGQ4lCwiQr2JDXmUUjMMrTK0M9wvWLBgltpn9hguLi6P1KfUPv74Y4YNMyWri4yMxNfXl5YtW8oUOZFpWq2WTZs20aJFCxmWmYaE5AT23txLgFcAhV0LZ7zBCya751BEQgRNVzS1WH4uybLE+SbnTVZHMYXFhBG0WuVDcrN34/P6n5OsSyawaGCaI54GaQfx363/+GD7B4DKa7Sx20ac7Zx5jdey/DyeFkEEmT3+cPuHbL2mvvzpUJWAFrVbRH6n/Ez5bwoRCRF8WP1Dqzklzh8+z4WTKsDkYufC5A6TjQnS29IWnV7H1mtbqZSvklny0gH6Aaw4t4J5J+fxSd1PqFUo7cpd6Z0/dePrciXqClULVGXNhTWM2zsOgJ+jVTDS09HT2HZC3Qm0LdHW7P+7H+ZT3MXzx3D+9G3dl4H26U//FMIa+R4EW7Zv4Wr0VYa1HJareeiyo0FCA/pu6GtWXbNmwZpMaTgFLyevx3bcRzl//MP9+XP9n1zVXaVF6xbY2zzaefdfyH+gimTSpk2bTKUROH73OP02qr+N2xO2c6DngQxz4SXpktDqtPx79V/yOualWsFqjFs+DoDeLXrj42qZ/F1knnwGZY0huJmRLAWYjhw5wsSJExk+fDjVq6efc+F55ujoiKOjZaUbe3t7OTlFlsl5Yy5Jl8T2a9uJTYrl4x0fG5dPajiJ6oWqUyRPkVzs3dPJ2jkUHh/OhksbCI8PJyw2jN7lepOQlMC+sH30KteLjZc28umuT43th9ccblGmvXHRxuj0OnZe38mBWwc4HXGa8vnKcyf2jjF58P8Omaq9vV/jfZoXb55hf73svXipxEuEFA3hYuRFKuRLe6r1s+x/gf+jw6oOZl+6i3oUxdHW0Wo+o5ReKfcKp8NP0zWgK62Kt7LapnXJ1laX9yzfk57le1pdZ42186eQfSEKuRUCoGuZrsYAk8GDhAeAKiXduUznTB9LPH/kb5jIrhf5HPqu2XdA5vIcPq3y2+dnfdf1zD42m+8OqufzecPPKehmfcBATsvK+VOuQDnsbOzQ6rREaCMsCiFk1srzK433D9w9wC9Hf+H96u9TpUAV7sXfI59TPov/0/e2vWf2eNaJWbxd7W2r+9fr9Xy26zPWXVxHQZeCXI++DqgiHkm6JIrmKUoxj2LP9HnzNHmRP4OyIrOvUZYCTP3796dUqVKMGzcuU+0No4TSGg1kiIKlHE1kSByVlfaZOYZhZNGj9EkI8XjFamP59r9v+TP0TxJ1iVbbfLLzEwB+bP4jFyMuci/uHm9WfTPDX/z0ej1zT8zl4K2DvF/9ffy9/HO8/0+DZF0y5x6co7RXafaF7eOdf98hPjneuP7P0D+N96cdnGa2bWf/zvSv0J9+5dUvaw8SHrD7xm5aFm+JvY0972x5h+CrwRy6fYhlZ5ex6twqxtcfT5fSXbgda5pG1bV01yz12cXe5bkNLgHY29rzZtU3jecuYFbGOT0+eXz4paVl4vPc8n2z73lni2Ui0bqF61ppLYQQIjOepwBB2xJt2XR5E/V96j+1FdpsNDYUcinE9ejrhMWGZSrAFJEQQXh8OMU9igNw+PZhs/Wvb3odMK+W+3Htj+lVrhcRCRGsPrea4/eOE54Qbrbdz0d/5tjdY/zY/EfsbMwvyc+En2H1+dUAxuASwMpzKrDVNaDrc3XuiOdLlkcwgUrQbU29eqpU5sqVK+nUqZPVnEkpWcufVLp0afbs2UNYWJhFHqa02qd1DL1ez7lz5/Dx8TEmGS9VqhQ2NjZZ6pMQ4vG5H3+fVstbmQVDDLqW7kqfcn3ova43sUlq3u9b/75lXD/3xFw+qfMJs4/O5q1qb9GkaBPcHd3NhjwvPbOUb//7FoBt17bRtXRXxtUf93ifVDbsu7mP1zaqaWIrO6w0BsSiEqM4/+A8Ho4eRCdG89H2j7gbd5eimqIcO3CM1edXW30NM9K8WHNG1Vb59AxfVrycvGhbsq2xTbWC1Qi+Gmw2wmns7rGM3T3W+PiPdn9ga2Ob5eM/77JaIvppFegbyLH+x9Dr9fx6/FemHZyGs52zWYlsIYQQL67CeQqztN3S3O5GhgwBppvRN6lWsFq6bSMTI2n6R1N0eh0L2iygUoFKnL5/Ot1tAOafmI+znbOxSqBBubzl+Omln2j6h0pPsPvGbt7f+j4/NP/B2OaTHZ/w14W/0t1/aU+5ThVPrywFmF57zXpujO3btxMaGkqHDh0oUKAAxYsXB1SQxsfHh127dhETE2NWSS4+Pp7t27fj4+ODv79pREGTJk3Ys2cPGzdupF8/8xwOGzZsMLYxCAwMBFSC7dRJx/ft28eDBw9o06aNcZmTkxO1a9dm7969XL582aKS3MaNG3F0dKROnTqZfFWEEI+q99reHL171GyZv6c/kxtNpmzessZl67qsY/X51cZAUUqTQtRUo5TBjmXtl1E2b1mz4doGK0JXcP7BeU7dP4WDrQOzWs7K1CganV7H0jNLiU6MZmDFgTkeTNl7cy8P4h/w0faPjMsGbhjI6k6r6bS6E/fj7wNgp7EjSW+qyHWe85w/e97qPoO7B7Pj+g6uRF4hNimWJaeXkKxPBqB18dZ81eSrTPWtjnf6n4eti7c2+/8SJpULVDbe/6zuZ7nYk5yh0Wh4rdJrBJUIwt7W3qzqoBBCCPG0C/AK4ODtg6y7uI6gkkFW2yTrkhm/Z7xxxBBAr3W96FOuDwtPLbRoP6r2KGYfm83dOJXg3MHWwWql3N/a/IaTnROTGk4yjm7edm0bE/dO5FLEJd6t/q5ZcKlivoqUyVuGsJgwdt3YZVxerVD6gTEhclOWAkyzZ8+2uvzVV18lNDSUjz/+mLp1TcPlNRoNgwYNYsKECUyYMIEpU6YY102ePJnw8HDeeecdsyF+AwYM4Ouvv+aLL76gY8eOxqlqJ06c4LfffqNUqVI0a9bM2D4gIIDGjRuzdetW1q1bR1CQ+qDQarV8+qnKLzJ48GCz/g4ZMoS9e/cyatQoFi9ebDz+3LlzOXXqFP369ZNk3UI8BuHx4TRe2hiARkUamQWXmvk245vAb6wGbvI552NgxYFUyl+JgRsyTib78l8v82PzH43BJSdbJ5a2W0rH1R0BOHznMKCSiC85vYTPG3ye4T4H/DOAg7cPAjD90HSG1xzOK2VfyfSUp/Scf3CewRsHWywPTwjn450fG4NLgFlwKT3L2i8jn3M+Ovl3Mi4bVXsUEQkRuDm4ZZhYMqXy+crTwKcBu27som7hurQr2c4sf9PHdT6WodppyO+cn0N9D2GjsUHD8/MaPWreCiGEECI39S7Xmz/O/sG2a9u4EnmFYu7FLNocu3vMLLhkkDK41Nm/M672rvQp34cieYrQu1xvLjy4QMfVHbkUecnYzt/TnxqFatC3fF9jWof2pdozfs94EpITADXaHqD3ut5mx+tZricdSnXgbtxd46inPuX64O4g16ni6ZXlKnJZNWLECNasWcPUqVM5dOgQNWrU4MiRI6xfv56qVasyYsQIs/YBAQGMGzeOTz/9lMqVK9OtWzdiYmL4/fff0Wq1zJo1Czs7827PmDGD+vXr07lzZ7p3746Pjw///PMPR48eZdCgQTRtal4lqV+/fixdupQlS5Zw8eJFAgMDuXDhAitWrMDX19csECaEyBl6vZ4R203v9x3Xdxjvv1PtHfqU65PhqKBa3rXY3XM3wVeDqZC/Ap/v+Zzqhapz8NZBDtw6YNY25VS6/wX+j5KeJVnbeS1tV7Y1a7fv5j7OhZ/D38ufiIQIvtj7BUfvHuXPDn8aq3bdj79vDC4ZfH3ga3449AOeTp442DgwpfEUKuavaFyfkJzAzus7qe1dGzcHt3Sf17kHllXbDHZd35Xmum7+3ShyqwgnvU6y6YoqsfpN4Dc0822W5mvp4Zj1/HIajYbvm3/P3ht7qeldE2c7Zzr6d8zyfl5UqXMrCCGEECJ3FPcoTtUCVTl4+yAHbx+0GmAKiw3LcD+ti7emfpH6ZstKepY0G+XkbOfMvNbzrH73WtNpDa1WWC/iAVDfpz5tiqtZOPmd8/NOtXeITozm3ervZtg3IXLTY//W6+rqSnBwMOPHj2f58uUEBwfj7e3NBx98wNixY82mzRmMHj2a4sWLM23aNGbMmIGDgwP169dnwoQJ1KplWXK5fPny7Nu3j9GjR7N+/Xqio6Px9/dn+vTpvPXWWxbtbW1tWb16NVOmTGHBggV8++23eHl58eqrrzJx4kSL3E9CiOzZH7Y/zZFH3wZ+y0t+L2V6X24ObrQv1R6Aua3nAhCfFM/VqKuU9ipNtzXdOBN+xti+f/n+NC6qRk0Vcy/GD81+oKBLQdwd3Wm9ojU3Ym7QeU1nnO2ciUuKM25X7/d61Pepjx49p++p+fbF3Yszrv443tz8JrFJscQnxxMWo76ELDq1iMmNJhu3X3p6KV8d+Ao3BzdWdliJg60DUYlRVr/IHL1jPk1w5ys7+WzXZ2y9utW4bHz98Vx4cIH5J+cD0KtsL4ZXH866deuY0nAK39h/k+nX8FHY29jTqGijx3oMIYQQQojHrXKByhy8fZDPdn3Gjms7+F/g/8zW344xFTCxVuSiSoEqaU5TG1FrBA2KNOD0/dNUL1g9zR/2fPL4sKTdEoZsHEKlApXMflBc3n45pb1Km402H1J5SJafpxC5IUcCTPPmzWPevHlprvfw8OCbb77hm28yfwHUu3dvevfunXHDhwICAli2bFmm2zs6OjJmzBjGjBmTcWMhxCNZGbrSLMGhvY09H9b8kGa+zfh016f0KdeHpsWaprOHzHGyc6K0l0p4+EPzH1h+djmLTy8mKjHKGFwyaOKrcrjp9XoKuRTiVuwtALPgEqicSzuv7zRbVs+nHjUK1WBvr700WdrErCJIyiof9+LuseTMEkAl535p+Ut4OnoSkRDB7+1+N+Z8uhVzi5eWm4Jr/p7+DKo0CA9HD6Y3m07Qn0FcjboKQNUCVens35l8zvnYdu3/7N13eFPVG8Dxb1ZHuifdg9IiG2TKBgUEUVGQoTJUtuJAAZGNIFPFnwMUFRFEHKg42MqSjezdMksLtJTumTT5/VF6aUhbWgoUyvt5Hp4n99xz7z25nKTJm3Pes5FBdQbd/A0TQgghhLhPFcyPuObsGmLTYjl25RjJ2ck09m2sjGDqW70vrQNbs7bbWtr/3B47rR3zHpnHg5UeLPLcKpWK5v7Nae7f/IbtqOFRgy298gJLG6I3MOyfYTxX7Tmqulct2xMUohzJuH0hKpDErEQyjBn4O/qXazuiU6Pp9It14sRFnRYpwZWvOnx1W67t4+DDK/Ve4cWaL5KYnVjkvVCpVHzR/gtm7ppp8avRtBbT+GzfZ0pgJ98zEc/war1XlWO/7/w9e+P2cvjyYRYfXcyZ5DOYzCYMJgNP//60Rd4kgKTsJAC2xW6jhkcNsnOzLYJLkHdP3O3cLa75wX95gXk/Rz9UKhUv1HyBF2q+AOTlmhNCCCGEECXX1M9yaltRU9Uqu1YG8j5bHuh7AIPJYLFS8a2Uv1qrEPc6CTAJUQFcSLvA9J3T+Sf6HwBUqBhadyj9a/Uvl/wv726zTpq9qccm3Ozc7lgb9Dq9kkOpKJVdKjPvkXkYTAb+PPknLQJa4GnvSR3POkzdOZWHfB/imYhn0Gl0Vh8o/B398Xf0p0NwB5YcW0JidiLfH/ue6TunF3vNj/Z8hIPOwWqJ2dcefM0iuATwbLVn+TfmX7z0XkpiSCGEEEIIcfMcdNYpWq4X5BRE++D2FmW3K7gkREUiASYhypnJbLqp465kXWH2rtlsjtmsjI7JZ8bMp/s+JcItgrZBbQs/wS1kNps5n3qeBYcX8NOJa1NVh9YZSs8HeqJWqW8qufSdolPreCr8KWU70DmQeY/MK9mxGp3yf3ij4FK+93a8Z7HdoFIDXqjxglU9W43tbRvpJYQQQgghrNXxqsPMljNxtHEs76YIcc+RAJMQ5SQhM4FIQyTv/fQeGcYMelbtyZgmY254nNls5u9zfzNi4wirJevd7dwtpma9tv41lj2xjAi3iELPFZ0SzZJjSzh65ShvNXiLGh41lOXms4xZzN0/l10Xd5Gdm42N2oYOIR3oW6OvUifTmMk/5/7hx+M/Wq2y1r9Wf4bUHVKqe3Kv0qq1GE2W/xd2Gjs29dzErou7OJxwmLScNL498q3VsW/Uf4MXaxaeAF0IIYQQQtx6T1V5il+jfgXy8lwGOAUwsuFIDCYD3nrvcm6dEPcuCTAJcQdEJkbioHPA18GXdEM6Q/8eyt64vRZ1lh5fytLjS9n53E7stfZK+eXMy5y4coIqblV4a+NbVscB1PasTb+a/WgX3I64jDiGrBvCicQTAHT9vStONk580e4LanrWxGQ2KatSjNw0kkMJhwDo9Vcv+lTvw1sN3mLJsSWFjsY5lHCIeQfm4WnvyayWsxi3ZZzFim35gp2DGVT7/klC/X6r93lt/WvKdi3PWgyrNwx7rT0tA1rSMqAlhxMOFxpgahfc7k42VQghhBDivvd2o7dp6NOQlgEt7+pR9kLcayTAJMRtti12GwPXlnxp0Z0XdiornRlyDfT8s6ey0llBtb1q81Gbj/C097Qo99Z780HrD+j8a2elLDUnld4rejPuoXFM2DoByBs5kx9cyvftkW8LDYIUlG5IJ92QTvc/u1uUD6s3jP61+lssqXq/qOVZS3n8fLXnGdVolFUdH70PGpWGXHMuX7X/imoe1dBr9WjUmjvZVCGEEEKI+55ep+fxsMfLuxlCVDgSYBLiNriceZlP9n6CXqdn0ZFFhdbpWqUrh88cpkpgFSY2m0iDxQ0AOJNyBvd4dxKyElCr1FbBpVCXUH7o/IPFKKfrBTsHs+f5PTy4+NoyqkazUQkuAXz434cA9KjaAwedA18f+trqPLYaWz5s/SGxabHYaGyYvG2y1bS8xj6NmfDQBAKdA29wVyqugskiC+ZyKsjD3oPFnRbjqHMkxCXkDrVMCCGEEEIIIe4MCTAJUQYTt05kWeQynHROLOy4kHC3cP489SejN48utH64Wzhdw7tiNpt5MvRJ/rn8D50e6oROo+Olmi/x1aGvmL17ttVxfg5+eOm98LL3YnrL6dhqbG/YNp1GR8fQjqw8vbLYekPrDsVB58DiI4vJMeUA0OuBXgQ4BlDHuw51vOoodTuHdUaFinqL6illg+oMuq+DS5D3K9iIBiMAisx3BVDTs+adapIQQgghhBBC3FESYBLiJu2L28eyyGUApBpS6bOyD78++WuRwaWljy2lhmcNZdtgMFjsfyLsCb46VPiKYe82e5dGvo1K3cZxTcbRp3ofVCoVPf/sabXf2cYZdzt3AN5s8Ca7L+3mpVovUcOjhlVduLY86+xWs5nz3xxGNBxBQ5+GpW5XRdSnRp/yboIQQgghhBBClJv7L1mKEDchMjGSdj+3o9+qfiRnJ5OcncyITSMs6qQZ0vjx+I/K9jMRzyiPu4Z3tQguFaaya2V6VO1hVf5D5x9uKrgE4GTjRE3PmlRzr6YEkhr5NGJLry30qd6HBY8uUOo+W+1ZPmj9QZHBpYI6hHRgZdeVtA1qe1PtEkIIIYQQQghRscgIJiFu4KcTPzF522QALqZfpPnS5so+rVrLt49+y/KTy/nh+A/MPzgfgECnQMY1GcfYJmOJSY0hwCmgRNca1WgUA2sP5ErWFQIcA3C0cbwlz0GtUrPg0QVkGjKVQNeIhiNucJQQQgghhBBCCFEyEmASoghGk5GYtBgluFSYyU0nU8urFuuj11uUj2o4CpVKhQpVqfIT6dQ6vPXeeOu9b7rdRansUvmWn1MIIYQQQgghhACZIicEkBdM+jfmX2bvmk1ydjLDNwyn3qJ6dP61s1Ln3WbvWh3X2LcxAC62LhblLQJa3N4GCyGEEEIIIYQQdxEZwSTue2azmUd+eoSErAQAFh5ZaFWnd/XePF75cebtn0dMWgwAL9V8SRlp9EzEM6w7u4598fuY3HQyapXEboUQQgghhBBC3D8kwCTue7sv7VaCS4Wx19oztM5QNGoNy55YhtFktBqxpNfpWdRp0e1uqhBCCCGEEEIIcVeSAJO4byVnJzNr1yyWn1xutc/L3ouvOnzFL5G/0Lt6byXZtoPO4U43UwghhBBCCCGEuOtJgEnct4ZvGM7OizuV7ZktZ9LcvznLo5bzRJUncLZx5s0Gb5ZjC4UQQgghhBBCiHuDBJiEIjk7mcMJh/F18CXEOQSVSlXeTbptDsYftAguPVb5MTqGdgTg+erPl1ezhBBCCCGEEEKIe5IEmAQnk04ybcc0dlzcoZQ9E/EM4x8aX46tunk5uTkcTjhMSnYKXx/6mmb+zRhYe6BFnTc3XhuZtKbrGnwcfO50M4UQQgghhBBCiApDAkwCZxtni+ASwE8nfuK5as8R5hpWTq26OcnZyTz+6+MkZicqZYcuH+Klmi+hUWsASM1J5UL6BQBmtZqFr6NvubRVCCGEEEIIIYSoKCTAJPDSexVaviF6wz0RYDKajGQZs5i1exa/RP5itT/HlEOPP3twNuUsBpOB+e3nA+Bk48SjIY/e6eYKIYQQQgghhBAVjgSYRJGMJmN5N+GG5u6by2f7Pyt0X/eI7vx97m8SshI4nnhcKX9x9YsAMi1OCCGEEEIIIYS4RdTl3QBx9zqScKTM5zgYf5BVp1dhNptvQYssGU3GQoNL1T2qM/eRuYx7aByTmk4q8vhGPo1ueZuEEEIIIYQQQoj7kQSYBABvNXgLgNcffJ0v238JwI6LOzCYDKU+l8lsAiAtJ42X1rzEiE0j+Cf6n1vXWCDXlEtUUpRVecfQjix9bCnN/ZsD0CqwFc8+8CwAjX0a80TYE0Be3qkeVXvc0jYJIYQQQgghhBD3K5kiJwDoU70P7YLb4evgixkz9lp70g3p/Br5K838m+Hv6F+i86w5s4ZRm0ah0+jINGYq5fvj9vNw0MNlbuflzMtsi93GkqNLOJRwCAAXWxf8HPxo4NOAtxq8hUqlsjhmUJ1BhLuF07lyZ3JMObQNbEvLwJbo1Loyt0cIIYQQQgghhBClHMEUExPDnDlzaN++PUFBQdjY2ODj40PXrl3ZsWNHocekpKQwfPhwgoODsbW1JTg4mOHDh5OSklLkdZYsWUKjRo1wcHDAzc2NTp06sXv37iLrR0ZG0r17d7y8vLC3t6d27dp88sknmEymQutnZ2czefJkIiIisLOzw9fXl/79+3Px4sXS3I4KRaVS4efoh0qlQq1S42Wfl/j73e3v8srfryj1zGZzkdPd0nLSGLtlLEaz0SK4BHmjobJzs8vUxpScFNr82IZ3/n1HCS4BNKzUkB8f/5GRDUeiVll3aXc7d7pFdMNOa4ezjTMPBz8swSUhhBBCCCGEEOIWKlWA6eOPP+aNN97g1KlTtGvXjjfffJPmzZuzfPlymjZtyo8//mhRPz09nVatWvHhhx9StWpV3njjDapXr86HH35Iq1atSE9Pt7rGe++9x3PPPcelS5cYPHgw3bt3Z8uWLTRr1owNGzZY1T9y5AgNGzbkt99+o0OHDrz66qsADBs2jMGDB1vVN5lMPPnkk0yYMAF3d3def/11mjdvzoIFC2jcuPF9HWQqyNPeU3kclRRFrikXk9lEv1X9eGH1C8o0uHy5plz6rOpjEVjqFNqJV+rmBaeOJBzh5xM/l6lNK0+tLLS8nne9Mp1XCCGEEEIIIYQQZVOqKXKNGjVi06ZNtGjRwqJ88+bNPPzwwwwZMoQnn3wSW1tbAGbOnMm+ffsYOXIkM2bMUOpPmDCByZMnM3PmTCZNupaEOTIykgkTJhAREcHOnTtxcXEB4NVXX6VRo0b079+fY8eOodVea/aQIUNITk7mr7/+olOnTgBMmTKFjh07Mn/+fHr16kWbNm2U+gsXLmT16tX07NmTJUuWKNOpFixYwIsvvsioUaNYuHBhaW5LheRh72Gx/fe5v6npWZM9cXsASMhMwEvvpezfeXEnkYmRyvaijouo610XgNScVBYeWcj66PU8V+25Urcl15TLrN2z+O7od1b7ZrWcRYeQDqU+pxBCCCGEEEIIIW6dUo1gevrpp62CSwAtWrSgTZs2XLlyhYMHDwJ5U6m+/PJLHB0dGT9+vEX90aNH4+bmxldffWUx3WrBggUYjUbGjBmjBJcAatSoQZ8+fTh58iT//HMtWfSJEyfYtGkTbdq0UYJLADqdjqlTpwIwf/58i2vnb0+fPt0iV88LL7xAtWrV+OGHH0hNTS3NbamQAhwDLLbf3Pgm66PXK9txmXEAZBmzGL5hOAPXDlT2VXOvRjWPasp2fgBox4UdLDy8kHRDOgaTgXc2v8Pjvz5OSk7h0yWjU6OptbAWdRfVtQgu1fWqyyt1X2Ff7308GvqoVc4lIYQQQgghhBBC3Fm3LMm3TpeX0yZ/dFFkZCSxsbF06NABBwcHi7p2dna0bNmS5cuXExUVRXh4OIAyBa59+/ZW5+/QoQPz5s1j48aNyv7i6jdq1AhXV1c2btyolGVlZbFjxw6qVq1KcHCw1THt27fno48+Yvv27bRr167I55qdnU129rV8Qvn5pAwGAwZD6Vdduxu19GvJgsMLLMqm75yuPO75Z08+f/hztl/Yztqza5Xyp8KeYlzjcWBCWYEuzCkMR50jaYY0Zu+ezezds9Fr9WQYMwDYen4rDwdaJgA3m81M3zGd69lp7Hilzis86P0gplwTptzC82zdC/L7SkXpM+LOkz4kykL6jygL6T+irKQPibKQ/iPKSvpQ6ZT0Pt2SANO5c+dYt24dPj4+1KpVC8gLMAFK8Oh6+eWRkZEWjx0dHfHx8Sm2fr7irqFSqahSpQq7d+8mIyMDvV7PyZMnMZlMJWpTcQGmadOmWUzty7dmzRr0en2Rx91LzGYz9W3q81/Of0XWGfT3IKsy/UU9K1assCrvbtOdrw1fK9v5wSWAEZtH0NuhN1V1VZVrv5v8LjnkWJzjRYcXCdGGcHH3RVZgfY171dq1a29cSYhiSB8SZSH9R5SF9B9RVtKHRFlI/xFlJX2oZDIyMm5ciVsQYDIYDPTu3Zvs7GxmzpyJRqMBIDk5GcBiqltBzs7OFvXyH3t7e5eqfkmvodfrb6pNhRk9ejTDhw9XtlNSUggMDKR9+/bKOSqCx3iMTGMm47aN45/of25Y/+PWH9PMr1mR+79e8nWR+044neCNtm8A8Pup38nZbhlcauDdgMFtB6NV37JBd+XOYDCwdu1a2rVrp4wAFKI0pA+JspD+I8pC+o8oK+lDoiyk/4iykj5UOvmztm6kTN/WTSYTL774Ips2bWLAgAH07t27LKe7Z9ja2iqJzAvS6XQVrnPqdDqLhN8P+T6En6MfyyKXWdQ72PfgDc/1XvP3eOffd+hZtScdQjpQz7ses3fPZvHRxey4uIOR/47k/dbv8/up3wGw1dgyp80cmvg2QaPSVNhcSxWx34g7S/qQKAvpP6IspP+IspI+JMpC+o8oK+lDJVPSe3TTASaz2cyAAQNYvHgxzz//PPPmzbPYnz9KqKjRQPkRsIKjiVxcXEpdvyTXyB9VdDNtEuBu56489nHw4a0GbxHmGsbMXTMBCHMJK9F5Hg97nMfDHrcoG9lwJAmZCaw8s5J159bRcHFDckx5o5fmt59PPe96t+hZCCGEEEIIIYQQ4nYp1Spy+UwmEy+99BJff/01vXr14ptvvkGttjxVYTmTCiosf1J4eDhpaWlcvHixxPWLuobZbCYqKgo/Pz8lyXhYWBhqtbpUbRLgZe+lPHbQOeBo40jv6r15t9m7PBz0MGOajLnpc6tUKovj84NL119XCCGEEEIIIYQQd69SB5hMJhP9+/dnwYIF9OjRg0WLFil5lwoKDw/Hz8+PLVu2kJ6ebrEvKyuLTZs24efnR5UqVZTyVq1aAXnJsq+3evVqizoArVu3LrL+zp07SUpKsqhvZ2dHo0aNOH78OGfPnrU6Zs2aNdja2tK4cePibsF9p6lfU+WxTn1taFyXKl2Y02YODX0alun8LrYu/NvzX6tyf0f/Mp1XCCGEEEIIIYQQd0apAkz5I5cWLFjAM888w+LFiwsNLkHeyJT+/fuTlpbG5MmTLfZNmzaNxMRE+vfvb5FX54UXXkCr1TJ16lSLaWyHDx/m22+/JSwsjLZt2yrlERERtGzZkvXr11usXGYwGBg7diwAAwYMsLj2wIEDAXj77bcxm81K+YIFCzh69Cg9evSoUIm6b4VA50BCnEMACHUJvS3XcLF1oWt4V2W7a3jXCptzSQghhBBCCCGEqGhKlYNp8uTJfPPNNzg6OhIREcGUKVOs6nTp0oW6desCMHLkSH7//XdmzpzJ3r17qV+/Pvv372flypXUrVuXkSNHWhwbERHBxIkTGTt2LLVr16Zbt26kp6fz/fffYzAYmD9/PlqtZZPnzp1L06ZNeeqpp+jevTt+fn6sWrWKAwcO0L9/f9q0aWNRv0+fPvzwww8sXbqU06dP07p1a06dOsWyZcsIDAxkxowZpbkl943vHvuOvZf2WoxmutXebvQ2/Wr0w0HnYJH3SQghhBBCCCGEEHe3UgWYzpw5A0BaWhpTp04ttE5ISIgSYHJwcGDDhg1MmjSJn3/+mQ0bNuDj48Mbb7zBhAkTlNxIBY0ZM4aQkBDmzJnD3LlzsbGxoWnTpkyePJmGDa2nYlWvXp2dO3cyZswYVq5cSVpaGlWqVOF///sfL7/8slV9jUbD8uXLmTFjBosWLeLDDz/Ezc2Nfv36MWXKFHx8fEpzS+4bzjbOtApsdeOKZWCntSPEJeS2XkMIIYQQQgghhBC3nspccJ6YuCnJycm4uroSHR0t0+tEiRkMBtasWUP79u1laUxxU6QPibKQ/iPKQvqPKCvpQ6IspP+IspI+VDopKSkEBgaSlJSEi4tLkfVKNYJJFC41NRWAwMDAcm6JEEIIIYQQQgghxK2XmppabIBJRjDdAiaTidjYWJycnG55YuqGDRuya9euW3pOcXfIjwLLyLfSkdfENdKHRL6beV1I/xFlcS/0H/l7cXe7F/pQRVORXhPSf0RZ5fehKlWq8N9//5V3c+56ZrOZ1NRU/Pz8UKuLXitORjDdAmq1moCAgNtybo1GI2+aFZyzs7P8H5eCvCasSR8SZXldSP8RZXE39x/5e3FvuJv7UEVTEV8T0n9EWVXE18XtUtzIpXxFh57EXaGwROVC3M/kNSGENXldCGFNXhdCWJLXhBDWBgwYUN5NqFBkipwQ5SQlJQUXFxeSk5Mlai5uivQhURbSf0RZSP8RZSV9SJSF9B9RVtKHbg8ZwSREObG1tWXChAnY2tqWd1PEPUr6kCgL6T+iLKT/iLKSPiTKQvqPKCvpQ7eHjGASQgghhBBCCCGEEGUiI5iEEEIIIYQQQgghRJlIgEkIIYQQQgghhBBClIkEmIQQQgghhBBCCCFEmUiASQghhBBCCCGEEEKUiQSYhBBCCCGEEEIIIUSZSIBJCCGEEEIIIYQQQpSJBJiEEEIIIYQQQgghRJlIgEkIIYQQQgghhBBClIkEmIQQQgghhBBCCCFEmUiASQghhBBCCCGEEEKUiba8G1ARmEwmYmNjcXJyQqVSlXdzhBBCCCGEEEIIIW4Js9lMamoqfn5+qNVFj1OSANMtEBsbS2BgYHk3QwghhBBCCCGEEOK2iI6OJiAgoMj9EmC6BZycnIC8m+3s7FzOrRH3CoPBwJo1a2jfvj06na68myPuQdKHRFlI/xFlIf1HlJX0IVEW0n9EWUkfKp2UlBQCAwOV2EdRJMB0C+RPi3N2dpYAkygxg8GAXq/H2dlZ3tTETZE+JMpC+o8oC+k/oqykD4mykP4jyupW9CFzTg4552OwrRx6i1t397pRSiBJ8i2EEEIIIYQQQghRCmf79OVUp07EzZ5d3k25a0iASQghhBBCCCGEEKIEcqKjOfpANTL37QMg4cuvMKWnl2+j7hISYBJCCCGEEEIIIYS4gexTpzjZrr1VeeaBA+XQmruP5GC6Q0wmEzk5OeXdjHueTqdDo9GUdzOEEEIIIYQQQtxnUteuK7Q86ZdfsQkJQaXTofX0vMOtuntIgOkOyMnJ4fTp05hMpvJuSoXg6uqKj4/PDROMCSGEEEIIIYQQt4rx8mXlceBXX2LOzub80JdJ+eMPUv74A42rK+Hbtt6331UlwHSbmc1mLly4gEajITAwELVaZiXeLLPZTEZGBnFxcQD4+vqWc4uEEEIIIYQQQtyL1JmZnG77MLnx8XgMGYz3a68p+8xmM+mbN2NXsyZad3dMWVnEvPY6aRs3AlDpndE4NmuG2WCwOGduUhLGuDh0lSrd0edyt5AA021mNBrJyMjAz88PvV5f3s2559nb2wMQFxeHt7e3TJcTQgghhBBCiAokc98+Uv/+B8+Xh6K2s7ul585NS+PSlKkY09PxiT5Hbnw8AFcWfKMEmMxmM9GDBpG+aTO2DzyAxsmJjF27LM6j9fICQKXT4ff+bGLffEvZl338uASYxO2Rm5sLgI2NTTm3pOLID9QZDAYJMAkhhBBCCCFEBXKmZy8ANC7OePTvX2id9B07Sd++DbcePdD5+JT43LFvvqWMQnIsUG7OyiI3ORmNiwuXP/mU9E2bAcg+dqzQ8+j8/ZXHzp06YV+rFpdmzCTt77+J++BD9I0a3fLg2L1A5mvdIffrHMzbQe6lEEIIIYQQQlQ8l2bOUh7HzX6frGPHSN+2zarehTFjSJg7j5PtO5CyahVmk4mUVatI37Gz0PMar1whsm1bJbhUmMx9+wC4/OmnxbZR6+WFXbVqyrZKpcImKAivl4cCeUGps337FnuOikpGMAkhhBBCCHEfMZvNZO7ejTE+HqdHH0UlOUKFEOUg+/RpTGnp2ISGYEpJIartw1Z1Tnd5CoDAL7/ENqwyWi8vcs6cwXD+PADmnBxiXn/D4pjKf/6BbZUqFmUJX32FMfYCAGonJ7zGj2PblUSa+fuRvmIlKStWkHngILFjxxbbZn3DhvhMmoRKp7PaZ1e9OjZhYeScPEnW/gNkHT1qEYi6H0iASZTamTNnCA0NZe/evdStW7e8myOEEEIIIUoo6/gJTj/5pLKtHjce+zq1UelsMOVkk7FtOxo3NxweakKlsWPRurvfsbblpqWhtrUt9IubEOLekLlvH2ee741jq1b4zZiBxtGh0HoZe/Zy9tlnS3ze6AJT5exv8B30wsSJ+M+cidrBAY2LC+nbd3Dlq6+V/V6vv4bTo49iXLECh1atyNm/H7AcuaRxdcWpfXuSfvwx75g3h2MTFIxTm9aoikl/4zdzBme6dgPg9FNPU+3Y0RI/x4pAfq4QQgghhBDiPmC4dMkiuARgSk8nfes20jZuJGPbdgByExNJWbGSc337kpucnFcvKwuzyYTZYMCYmHjL25axdy8nGjfh9NNdMV65csvPL4S4/RK+/DIvf5LRSNrff3OmRw9yU1MxZWRgysnBnJOj1I0eOLDI84StWknwku+K3J8/lS1w/nzcX3xRKXdo2jRv/+7/iGr7MJGt2xDZshXn+vWzON71qacstu3r17e6htuzz+I7eRI6Pz8AHFu2xLlD+2KDSwC2ISEW21nHjpFz7lyxx1QkMoJJCCGEEEKICi5l7Vpihr2qbOsbN0br4UHahg2YMjKUco2LC2pnZwzR0WRHRnGicZO8HSoVmM15j9Vq3Hv3xuXJJ1DZ2mJKS8O+Tp1Stcecmwsmk7Kd+N0SyM0lOzKSyKbNiNi1E42T080/4dvEnJND9JCh5KamEvLDUskNKsRVhktxxM1+36Is5+RJTjRspGyrdDp8p08jOyoKU1paoefxGDwIm5AQbEJCCN+6BUNMDGee6W5Vz+Wpp3Bs0RyHpg/l5USqUR2HRo1IWbmSmDeGA2DOzMSYmWlxXNX/dqPW68k1GJQyxxYtLOroGzTAY0DeiKng7xZjSk+3mnJXFLWDA5X//INTnR8H4MK48WQdPEilsWNxf/65Ep3jXiYBpjvMbDZjvq6T3ykqe/tS/RE0mUzMmjWL+fPnEx0dTaVKlRg0aBDPPWf9wti4cSMjRoxg//79uLu707dvX6ZMmYJWm9fFfv75ZyZNmkRUVBR6vZ569eqxfPlyHBzyhkwuWLCAmTNncvr0aUJCQnj11VcZOnTorXniQgghhBD3MHNOTl4ujxo1yDxwgPR/t+Dy5BPEf/IpGbt34ztpIva1a5O+axeOLVqQe+WK8qs7QOq6dRbBJb9Zs3B5vHPeuc1mjJcucWnqe7g9/zwOjfO+DMZ9OIeEzz8v0AjztccmE1cWLuTKwoVKUcjS7284bUU5PCeHs50eIyI2ltOzZuHUrj0pf/5pUSd19Wpcu3Ur6S265cxGI8l//AkmE4nffYfWy4uATz/hRNNmyhfj1HXrsK9Zk/TtO7CtHIrx8mUSv1+Ka7duOD/aodzaLsSdYDaZiP/wQ8zGXK4sWGC13za8CtmRUZbHGAzEvvmWsq1xccFv9ixsQiujdtCjdXOzqK91d0fr7o7X66+RunYdvtPeAyA7MhKnh/PyNak0Gjxe6Kcc49yxI2g0xLz6mlWbHJo+hNrBesqeSqMh5IelnOnRE5euT+M3daqyT+frW4K7cd1zr1IFrZcXxvh4sg4eBEDfwHqUVEUkAaY7zJyZyfEHy6dzVd3zHyq9vsT1R48ezfz58/nwww9p3rw5Fy5c4FghyzTGxMTQqVMn+vXrx7fffsuxY8cYMGAAdnZ2TJw4kQsXLtCrVy9mzpzJU089RWpqKps3b8Z89YPK/PnzmTBhAp988gn16tVj7969DBgwAAcHB/rep9n3hRBCCHF/yzlzhiuLFmOMiyN17VoAPAYNUoI+lz/7TKkbPXBQoefQ+fvjM34c518ZppR5vfaqElyCvNWPdD4+BHz8P4tjPYcMJvmXXzDGxwN5v8rbVK6MbVgYucnJpK1fb1H/yuLv8C9hgCnx228xxsYCkHslkaQffshri50d+kYNSd+0meS//ip1gCk3JQVUqpse+ZR5+DDZx0/g8lQXzr3wIhm7dlnsj//kE4tRFzHDXkXr7Y0xLs6iXsZ//+HUob2MbhIVjtloJOfsWWxCQkjbuJGE+V9a1fF67VU8Bg/GEB3NhTFjMaWnY1MljJTf/7CqGzBvLvp69W54Xc/Bg/EcPFjZtouIKLa+c/v2pHToQOrq1QD4TJyIU/t2qIv5Lmxfpw4PHNgP2lsTItFWqqS8f2p9fbGtWvWWnPduJwEmUajU1FQ++ugjPvnkEyXIExYWRvPmzTlz5oxF3c8++4zAwEA++eQTVCoVDzzwALGxsYwaNYrx48dz4cIFjEYjTz/9NMHBwQDUqlVLOf7dd9/l/fff5+mnnwYgNDSUI0eO8Pnnn0uASQghhBC3hOHiRbKOHMWxTeu7+ou/2Wwm6+BBznTvYbXPYkRRCRhiYogedO1LWeU/fsc2PLxEx6rt7AjfvAmz2Yzh3Dl0QUEW9y379GmuLPhGSYCb8uefpPz5J3bVqxO86NtCRwkY4+MxZWaS9NtvhV6z8u/LQaXiZLv2ZGzbzrkBA0nfvBmAiN27UGk0pO/YgX2dOhYjHcwmE/Eff0zC3HloK1UibNVK1Pb2JXqe+TIPHuJMz56Qm8uFd94ptE7CPOv7f31wCfJ+UDacO4fN1c+9QlQE2adOce7FlzBevFhsPfsH66NSqbAJCiJ40bdKuefgIZzq1Mmirt1tDLo4d2hP6urVaH19cXmqC2pb2xsec6P8SqWhb9SIrEOH8trSseNd/XfnVpIA0x2msren6p7/yu3aJXX06FGys7N5+GHrpSILq/vQQw9ZvGiaNWtGWloa58+fp06dOjz88MPUqlWLDh060L59e7p164abmxvx8fFER0fz0ksvMWDAAOV4o9GIi4tL6Z6gEEIIIUQhso6f4HSXLnnTvHQ6Qpf9XOgv4GaTCVNGJmkbN2CMiydp6VJyzp5F4+ZG2MoVXJg0CWN8PMELF6LSaErVBsPFiyT/thzXHt2tpoEUlPL778SOervYc+n8/THExKALCsKuenVSV6264fVtw6uUOLhUkEqlKjRQYhsaiu/kSWg83EmYO08pzzpyhKTffsM2rApqO1tl2lzqP/9wfujL106gVhPf8VG8/loBOh1Vt29TglI2oaHknD6tBJcAogcPxpxjIOvAAWyrV6PyL78o+1LXrlPaYLx0ieP1HsS5U0e8334bnbd3iZ5nyl9/QW6uVblD06akb91qUebety8aVxfiP8ob9aULDsL7rbfQeXtz8b33yNp/gJMdHsX7rTdx7twZnY9PidogxN0g69gxcpNTlOmy6du3k7JyFcnLl2POyrrh8fZ1ahdabls5lKoH9nNl4UJS/lqB82Odih1RVFbOnTrh1L49qls0Iqm0PIcMJuvAAVR6e7yGvVIubSgPEmC6w1QqVammqZUX+1IEo8xms1VENn/6m0qlQqPRsHbtWrZu3cqaNWv4+OOPGTNmDDt27EB/9V7Mnz+fxo0bW5xDU8oPbkIIIYQQ+UzZ2cov1lcWLryWQ8hg4PQTT+L48MOoHfR4v/kmKhsbznTvgSE6utBz5SYmcqLJQ8p2ztlz2FYOLVV7zvbti+HsOUxZmXgOHkzCl19hV6M6dtWro3ZwJHPfPq4sWIDZdC3IofP3B7MZn0mTsK9Tm+Q//kDn64tT27aYTSZQqcjYtUsJMFXZtJGMbdtw7txZCYCZMjJu65c4zyFD0Lq6cmnadKXs0rtTlMd+s2bi0KSJZXAJcHriCU40akj1Bg1wrFfPYsST1suLnNOnLepn7r72A232kaPknDmTN01n82ZiXrPOtZKyYiVaLy8qjR59w+dgTEwk9e+/rcorr1iBbeVQEn/8kYvjJyjlrj17oNbrSV33NzbBQVQaMwathwcA+rr1yNp/AIC42e9zZeG3hG/edMM2CHE3SN+xk3N9+4JGQ+XffiV29DvKKJyieL3+Gm7PPkvOuWjUej1qO7si66ptbPAcMADPAgMLbqfyCi4BaJycCF68qNyuX14kwCQKFR4ejr29PX///Tf9+/cvtm716tVZtmyZRaBp69atODk54e/vD+QFmpo1a0azZs0YP348wcHB/PrrrwwfPhx/f39OnTpVaPJwIYQQQojSimzTFuOFC3iPeAvnjh1JKyR4kF+WsWs33m+9WWRwqTC5SYlA6QJMhrN5y1QnzPucjN27LQImhfH/+H84t2tnUeZe4LOSSq0GwKFRIwLnf4FNaCg6b29cnnzS4pjbGVyCvC+M7n37Ylu1Ksb4y8SOGGGxP3bESItt5ycex713bzQREbBqFS7duqHT6Szq2FV7gIydO4G8HC3nBw+xuu7JRzviN3s2qevWKWWhvywj/tPPlP/btM3/UqmI+JLhUhzZkZE4Nm9GzOtvKP//lcaMwaFJY2yqVFE+17p27YquUiXiZr+Py5NPYBua938fuuxnq/O6PNXFIvm5MT6ejP/+Q1/IMuhC3E1yU1OJHnQ1n1tuLqcef6LQep7DXiF9y1Yy9+yh8oq/sK1cGQD7mjXuVFPFXUwCTKJQdnZ2jBo1ipEjR2JjY0OzZs2Ij4/n8OHDVtPmhg4dypw5cxg2bBivvPIKx48fZ8KECQwfPhy1Ws2OHTv4+++/ad++Pd7e3uzYsYP4+HiqVasGwMSJE3n11VdxdnamY8eOZGdns3v3bhITExk+fHh5PH0hhBBC3KPStmzBeOECAHGzZhM3azYAWj9fwlas4Hi9By1WRDNeuEDa3/9Yncc2IgJdQAAuTz5J0s8/W0zXyk1MtKh7ZeFCkn5bjlPbtspUCFN6Oqnr1uHYtq3VL/o3Ci4B6EuYMBusl9guDw5NmgB5KyUlfL0Afb26xAx/06JO4PwvlLYaCiwRfj3PYcOwqRyGzt8fx+bNcOvTm8Rv80YCODRvTvq//wIQ+9ZbcDXQ5v+/j7CrXp3ATz8h53wMJx95hJxTpzg/7FUqjXnHappazJvDC/1/sHugqtVUQpVGg2OrVji2anXD+2D3wANU3b+Pkx0eVXLVnH3ueR44eIBjtWqj8fAgfOOGch1ZIe4fKWvWYBMQgF316jesm7h48Q2nwHkOewWvl1/G6+WXC53FIoS8s4kijRs3Dq1Wy/jx44mNjcXX15fBBbL35/P392fFihWMGDGCOnXq4O7uzksvvcTYsWMBcHZ2ZtOmTcyZM4eUlBSCg4N5//336dixIwD9+/dHr9cza9YsRo4ciYODA7Vq1eL111+/k09XCCHEPcSUnc2lKVMxxMTgPWokxsuX0TdoUKIknuLukXX0KKa0NPQNG96wrtlgIOvoUWyrViXlrxXYhlfBvlYtsk+dArOZ9O3bMWfnEDdzZqHHB86di9rOjqp795B16BD2depwrFZerpCUFSuUeu59++A5bBgaR0elTN+gPpHNmivbpozMa+0ym4n/bC6m5GSyjx7FvU9vNC4unH/9DdI3b8apXTuyT58q0f3Q+vig0mhwaN4crZdXiY652+h8ffEZk5ckOycmhvj3PwDyckCVNBCmcXTErUd3ZbvSqFF4Dh6M1t0ds9nMuX4vkLFjR95Okynv/GFh19rg74dNlTByok6SunYtqWvX4v/RRzh3aJ/XrjNnigzy2dUuPH9MaahtbQlb8RcxI0eSti5vNNX5Ya8CkJuQQObevSXq80KURXZkJDGvXp0+qlLhOXRokbmAcs6cUXKKOT7ysNJvAfw/eB/HNm3IOnIE+wcfVMoluCQKIwEmUSS1Ws2YMWMYM2aM1T5zgV/+AFq1asXOq0OZr1etWjVW3SD55LPPPsuzzz57840VQogSSPrlVy688w76Ro3wGTf2phLeivJnys4mduQoZfnh0092AcDz5Zfv+kSauWlpJC5ahFP79hZfiItjuvqLcsFRMKaMDFS2tqVONH23yE1LI3XNWmW1rkpjxuD2bC+Sli0jdd060jdtxqlDBzxeepGLU6aidXPDmJSo5LYBUDs74/XKy1x6b1qh1wj/dzOnu3fHGHuBSuPGKqsVqe3s0DdoAOSt8pNR4POL79SpuHZ92upcWg8PfCZN4uKEvDw8poyMa8/lyhVMycnKdnZUFBn/7VFGPKWuXavsc3/pRbzfeIOUlSsx5xiUaxkvX8aYkHBbV1QqD/m5VkyZmWVanUml0aB1d897rFIR+NmnHK/fwKKOLiDgWn2VCr8ZMzjTtZtSFvPaa6jnz8exRXMuzZxldQ19kya4lnClqZJQ6/UEfvIJRx/IG7GftmHDtZ3lOHrJbDIp0ysrivSdO0mYNw+7WrXxfuP18m7OXSPryJFrG2Yzlz/9tMi/kWf79lMe+8+aheHCRS7Pm4t7377Y18ib+ibTPEVJSIBJCCFEhWe4FMelqVNJXbMGgIydOzn1+BOErVuLTYEvJeLuZjaZuDBuHMnLfil0/+VPP8WtZ49CR36YMjJI27QZfaOGyhfVO8mcm0v00KGkb8xL9hv/0f9we+45dL4+pKxajcrOFp9x4ywCDGajkYQvvyR+zkdAXk4ep0ceIXrAQNL//ReHVi0J+vxzMnbtIm3jRmyrVsXl8cdL3TZTVhbmrCwuvjuF7JMnCf35p9s6fSd13TpiRo7CXCBIc2nqVC5NnWpZb/VqJYhYaLtTUooMLgUt+Bqtpyfh/1hPfbOo980CIlu0JDchAQD7B+sVWdetR3cydu8m5Y8/uDRtGlovT+I/nEN2ZKRFvcTvlliMiCrI65VXUGm1Vv9PWk9PtJ6exbb1XqYuxeIxJTqfgwMPHDqYN5Jp925swsKsAkP2NWoQ8vPPxM+Zo0ypix4wgIDPPiXtar8I+flnbEKCUev1ty3oYle7NlkHDliUmbNzbsu1ihL3/vtk7NmL4UIsptQ03Hr1wuuN1++5EShmgwFjQoLVdMf49z8gc/9+0rduQ21vj9vzz2GIjSVx0WK8Xnu1Qr+2ipN90nrkZHZkpMWPa6acHFJXr8F46RKQF7hX29tjWzkU/yJGgwpRHAkwCSGEqLDSt2/n4qTJVqsR5Tv5SDsC589H37BBsaueiPJhNpkwZ2VhysjAcP48517qjyk93aKOe79+5CZeIXn57wBEtmgJQKV3RuPWuzcqlQpzbi5nnn2O7GPHAIjYuQNzbi6pa9eitrfH+bHHbtuXS7PZnBcU+3mZ1b7E776z2M4fiWVTJQzPIUNImP+l0maAmKtTbPKlb9zEhQkTSfrhB6XMuWPHUgWHriz+jktTpliWLfwWs9FI5sEDeA17FbuqESU+X1FMWVlcnDiJtH//JffyZaVcFxSE4dy5Mp+/ILc+vXF46KEbVyQvUXbgF5+Tum4dzu3bK8mbi5KfMNuclWW1Klq+gsElm8qVMWVm4tCsKe69+9zyQMv9TKXVEvTtQtK3bLEYvVSQfc0aBM6bS/TAgaRv3Qag/L/ZhoffkaTEAXM+JKqtZf5Sc/aNl3q/VdL+3ULC/C8tyhK++IKkX34hZPEibEJC7lhbyir+409I+OILAr/4HJsmTbCNjSV940Yy9++/VmfOHOLnzFG2k376CdcePfAZP+6eHfF5M9J37CTpp5+AvPxzxti8vHSnHn+CoAVfk/zXX4X+XfKbOeOOtlNUPBJgEkIIUSEl/fYbF962XD7I/aUXcWjShMTvlijTFaIHDMCxbVu833idhC+/RFvJB69Xh6HSaslNSyM3KRnjpYvEf/wJLp0fw7Vbt0KuJm6lrGPHON21G+TmFrpf/1ATAv6XlytC4+QE5H1ZjJv9vlLn0nvT0AUG4tSmDVlHj1kEas70ehaVWq2MPFFptThfzQt4M1LWrCHphx/xfXcyWi8v0jZtIm3DRjxfeYXUdWsL/RBfnJyok8S++VaJ6hYMLgF5v+5XqlTsMabMTC5MmEDK738Uuj9u1rXpQ2nr/iZ886Yy5wNK+OILkn/7zaIs6JtvcGjSmAvjxpH007XVuDyGDMa1azfS1q8n8+ABbCtXJmXVajRurlQaMQJdUBApf61QpqsV5DdrJk7t25eqbfY1aihTQG7EpfNjVvc8n+fQISR+t4Tcq9Pl/GZMt1rRTdxaKrX6hnmdVFotAR9/zLkBA8ncs0cprzRu7O1uHgBaX1+rspzz50t1DmN8PKkbNuD86KOo9XoufzYXnZ9fodM5r5exe1eh5bmXLxP3/gf4zZxx1wQ+TZmZGC9fxiYw0GpfzrlzJHzxBQDRAweh8fAgOCGBCyU4b9IPP+DQtKmSg6uiMly6RMJXX+HcsSPn+vZVygM++IAri78j5c8/AfJ+eDtzptBz5K8IJ8TNkgCTEEKICiN961ZS/1mPvkEDi+CSc6eOeXkE6tQB8lZcOjdwIOmb8nKkpP3zjzJlAiA3KQmPgQM52bEjFFjpKGP7dlyefrrC5a+4G+QmJ5N1/DhJP/9cZOADwOu1V/EYNMjq/8Cjf390gUHEvPaaUpayYiW2lSsTc92KpDknT1psp23+96YDTKaMDCWJalSHR7GrVk2ZDpP/6zGAS9en8Rw4EF1QEKaUFM6//ApqZ2ecHn4Yp3aPYLhwQRnBVJDWx4fKf/5J/Afvk7JqNblXrlBp7FiSf/nFMr/GVVGtWhNydel0U3IyDk2bYrhwgcuff47r009jX7s2ST8Vfo8dmj5E5uEjFvmEIG9UWJWNG9BVqoTZbCY3KQlzEV9IDRcukH3iBObcXJzatsUQF4fWzY20TZut6tqG5X2R8X33XZwefZScqCjcevVScvW4935eqet53SIjrt2fIWP37rwEz2YzKStW4NKly01NESwNfcOGROzezYmrOZz8P/4fl+fORV+/AZ7DhuHWuzfGuDhsIyLuuelHFZnawYGQJd+R8M03pK5Zi9+097AJDr4j1y6sHyT/+hvuzz13w2PNJhPpW7dxcfx4DLGxXBw33mK/U4f2GOPiSN+6DcfmzQodjZS6bp3yWBcYiN+MGeQmJXF+6FBS167l0nsu+L77rkVuJrPZTNJPP6HSaFBptWQeOoxzh/bY1aiBKTPzpqYZmzLzEuMXDGaZTSZyk5O5OGkyqQXytQbM/UxZ9Uzr7Y1KpSLugw8tzpc/rTWffYP6hSZud2zVirSNG0lbv75CBpiM8fHEDH8Tp0c7EP/hHExpacqKi5CXm8y+bl28fXyUAFNRwSWXLl2wCQq6E80WFZjKfH22ZlFqKSkpuLi4kJycjLOzs8W+rKwsTp8+TUhICPZ3ya8D97rMzEzOnDlDaGgodvfwlBaDwcCKFSvo1KkTOp2uvJsj7kHShyxl7NrF2d59LMrUzs5EbPkXVSH3J2XtWqspRwUVTOhbkO/UqTi2bHHPrvCUr7z7jyk7G5WNjfLlK/qVVyxWrbmebXgV/Ga/f8PpWllHj3Jp+oxrK0wVEPjF5yT+8CNpf1tfJ+ibBTg0aYI5N5esI0dJ/v137OvUwaXzY0Be7g9DbKzFl9L8pdBL4oEjh28YmDRcikNlo0Pr5pZ3/uho1I6Oyjbk5WVSabUYLl4kqnUbAPzen03OmTNc/vgTq3P6f/gBV75dRObevQAEf7+Es72uLarh0KwZfjOmKzlK4j6cQ8LnnwOgcXFRRuO4dOuKbZUqxE3Pmz6hdnXlYssWNJ06Vek/uWnpRLVsqSTA9hg0SDmX0p6P/0fWgQPYhIXh2qVLCe7cjZmys0levhynhx9G6+FxS855Iznnz2M2GG44pU4Urbzfg+6kqPYdLKaCql1ciNi65YZTtuI//bTQ13U+h5YtyDl9BkN0NCo7O6qs/wetmxu5qakk//47uVcSufzppwD4TpuG61Ndij231+uvkbrub7IOHSr8glotKo2Gyst/K9XUupjhw0lZsRIAn8mTSPnjT3TBQSUa3alv1IjgbxcS9Ug7DOfP4/Lkk6SsWIH56o8/+mZN8Zs2Da27O6l//0PMa6/h1KEDTu3bofP2xmwwcO7Fl/LqPtQEz0GDcWjSuMRtv9tdmj6DK998U+T+grkmMw8e5Mwz3S3229Wuje+UdzFER+PYtu19FRi/n96DboXiYh4FSYDpFijuZhsMBqKiovDz88PFxaWcWlixJCQkEBcXR0REBJp7eC61vKmJsrof+lBuWhrm7Owbfmm8PO9zi5wL+QI++RinYgIAWUePYs41cf6VVzAmJBDw0UecHzo0b6dWC0ZjocepbGyovOIv1Pb2t+QLrSEmhoy9+3Du0L7QYNitlvrPP8T972POh4XRdPo0tBoNqFR37IPllW8XKdOwdEFBkJtr9YtqlQ3r0fn4kL5tGzp//1L9qmqMjyeyZSso8BHHY+BAvIe/QcqqVcS8/gYAld55h0vvvafUCZw/n4w9/5Ewd55SFrF9GxpXV+I//oTLn36KQ9Om+H/wPmf79CX7xIki2+D48MNKIMv/fx/hXMppWyWRtnEjWcdP4DGgP+acHM4PG6aMyiuKxtNTyYEUvnWL1UiE3KQkYkaMxLljR1yeeJxjNWsBeX3enGOdmDjkn7+x9/MDIOv4CU4XMyXMqeOjBHz4YZH7xf3lfvgbli9z3z7OvzGcSqPf5sLodzClpxP6+3LsIooPmJ959jllWp8uIAA0agxni85Z5jt9Gq5dunD+1deURS3yXX89U3Y2x+vUvenn5DFoULErtmWfOkX2iUjiZs/GUMopgderNG4sl97NyxUXsX0bKp2Os/0HEJeby4PfLS62/xQMxuerduxomdpzt0jfsZNLU6ZYLTSQr8r6f9AVmKJpvHyZyOZ5U0q9R47E48UX7kg771b303vQrXDHAkwzZ85k1KhRAGzbto0mTZoU2piJEyeybNkyLl68iI+PD127dmXixIlFNm7JkiXMmTOHw4cPY2Njw0MPPcTkyZNp0KBBofUjIyMZM2YM69evJy0tjfDwcAYOHMjQoUNRF/KLYXZ2NjNmzGDx4sWcO3cONzc3HnvsMaZMmYLPdSsT3EhxN9tsNnPu3DkMBgN+fn6FtkWUjNlsJiMjg7i4OFxdXfEtZE77vUTe1ERZVfQ+ZIiJ4VSXpzBlZeH//myrL+hmsxmMRpKXL+fC2HFKud/s2Tg93BaVVlviYI05Jwc0GlQaDcfrN7BIJO07fRq5CQlkHTlKyl9/WR3r1L49Af/76CafZd7ImDPPP68svx766y/YVat20+crKGPvXqIHD8GpdWsy9uzBoUljjHHxpG3cqNRROzlhSk1F37AhgfO/uOXJzrNPnybr8BGcOz6KSqMpdtSPytaW4MWLsaterczJWJP//IvYt/LyGPlMnIhbzx7Kvqxjx1DZ2mIbGsrZ53vnTbUib1TB9dPDALxHjSJuRtGJT+0b1Cfoiy84+VhnjBcu4Pb88/iMHUPi0h+wCQ4qccLpsjImJhL5UNMS1XV/6UUqjRhxw3qFjQzUuLuTe+UKAK79+uL79ttAXlL9c/2K/sIStm4dNgH+JWqfqPgq+t+wopzq8hTZx47h0LIFQV98gdloJDcpyWqlsyvffquskug3aybOnTop74tFvY9qPD0JXvgNpx7rbFEeMG8uTq1bW9VP37pVGd1zPX2TJmQdPozWwwP3F14g69BBkv9aYbH6Y1GBmtQNGzg/eEjRN6EAmyphuD3zDHa1aqH19ib9339J+uln7GrXIun7pRZ1tV5ehG/OW4mzpP3HbDJZrBRZXLvvFWazmYQv5hNfWMBerc6bOqzVUu3QQcvjTCbOdHsGs9FIyI8/3PeLm9yv70E3644EmI4ePUq9evXQarWkp6cXGmBKT0+nefPm7Nu3j3bt2vHggw+yf/9+Vq1aRd26dfn3339xcHCwOOa9995jzJgxBAUF0a1bN9LS0li6dClZWVmsXr2a1te9QR45coSmTZuSkZFB9+7d8ff3Z+XKlRw8eJABAwbwxdWEcPlMJhOdOnVi9erVNG7cmNatW3Py5El++eUXAgIC2LFjR6mCTDe62Tk5OZw+fRqTyVTic4qiubq64uPjc88P4ZQ3NVFWFbUP5Zw9S+yot8nct8+i3DYiApcnn0TfpDH2NWpwtm8/i2lQTo8+iv8H75c5P1LKihXEDH8TAOfOnfGbNTNvJTKTiTM9epJ18GChx1UaOxb355/DePkyGg+PEr1HmY1GTj/1FNmRURblIct+xr5GDcxmMyl/rcAYH0/69m04NG6CU/t2ynD3Gzn/+hsWeS1KovKff2BbpUqpjinKlW8XWYwQUj74FqB2dkbr6YkpM5OA/32Efa1at+TakBdwwWi84XTG2HfGkPzLLxZlTh06kLp69Q2vYRMaStjKa6uGmXJy8oKb5fCDktlszhtxdDU5ulO7dqSuXYtdzZr4jBvLmR49lboRu3YqCdJvJOGrr4ibNVvZfuDQQZI3bODCK8NQ2dgQtmY12kqViHljOKmrVuHQsoUyksrp0UdxfaYbppSUMiVSFxVPRf0bdiOnu3Yj6/BhwHIaqV2d2oQsWUL61q3YRlQlqlUrIG96cOU/rHOmXRg/gaQff8Q2vAqB8+Zxums3cpOSrOqV9EeLK4sWc2nqVACCvv4Kh6ZNMRuNmE0m1Ffzohnj44ls1Vp5H6+65z9lZcWCYt4aoeT7gbz3+fAN68lNTCTq4WuBMb9Zs3B5vLPV8fmyIyM591J/jHFxQF7QK/ibBUDp+s+ZXs8q04Th3g8wJS9fTuyoty3KnDt3xqVLF9R6e+JmzabSO6ML/XtqNpshN7dUq41WVPfre9DNKmmA6aZ7Vm5uLn379qVOnTpERESwePHiQuvNnDmTffv2MXLkSGYU+PVvwoQJTJ48mZkzZzJp0iSlPDIykgkTJhAREcHOnTuVaWWvvvoqjRo1on///hw7dgxtgRfFkCFDSE5O5q+//qJTp04ATJkyhY4dOzJ//nx69epFmzbXhkYuXLiQ1atX07NnT5YsWaJ8CViwYAEvvvgio0aNYuHChTd7a6zY2NgQHh5OTiFDy0Xp6HS6e3panBD3A7PZTNLPP6Pz9SPug/fRenji9fJQbCMiCv0ger0LY8dZBZcAsk+cIG7WLNTOzgR/s8AiuKSyscFv6pRb8qXeqWNH3A8cJH3nDnzGjlH+RqjUakK+W0zKqlXEjhxlddyl6dPRenkR89pruD7TDd9337XYn7ZxI8b4eFy6dlXOmXXokFVwCeBM125UO3aUrAMHlFE4kLcsfdzMmXgOewXPoUOV8xguXSJxyfe4dn0am6AgzAYDxsTEIoNLnsNeQRsSwsVCVipL/usvvF59tcxBfGNiomVwCSyCS259euM9fDhqOzvMJtNtmaJXMHdRcVy7dbUIMHmPGoVKpytRgKnSmDEW2/lfxMqDSqXCJiCAnLNngbypeQXvqc/ECVycOAmXbl1LHFwCcHv+eSXApG/YEJVWi75FC7K9vbGNi+Psc8+jcXdXgq8ujz+O37RppG3ejHOHDnfNClVC3A20Pj5wNcBUMEdZ1v4DHKtR06q+79Wgz/W8R47AvnYtnB97DLW9Pd5vj7JY3EIXEID/B++XeESse+/n0bi6YsrIwKFp3khIlVZLwXdlrZcXDxw+xIn6DTBlZHDqiSdx7dEd9+ees/j7XnAUcKXx43B/Ni/vm1qvJ/CrL8k5eQq355+74d9s2/Bwgr9bzMl2eSOYHQqZKVMShgsF1pq7x3+ghrwA0/U8hw5RVoAL+X5JkceqVKq8FABC3CY3PYLpvffeY9KkSezZs4dZs2axcOFCqxFMZrOZgIAAUlJSuHjxosVIpaysLPz8/NDr9URHRysfgN555x2mTZvGwoUL6dPHckj2kCFDmDdvHqtXr6b91akSJ06coGrVqrRp04Z/CqwABLBjxw6aNGlCr169WLLk2gutadOmbNu2jTNnzhB83QoS1atX59SpU8THx+NUwg9fJY3mCVGQRM1FWd2tfSjpt98sPuQW5NimDd4jR1gkxjWlp3NpxkzSNm3C6eGHSfzuO2Wf2tmZiG1bufz556T8/kehK5+4PvMMXsPfKHEw4VbIOnECzGBKTSHp52VWy68DuPfti8fAAWg9PEhZvUZZ3cx36lRcuz5N3PsfkDB/PpC3wlGVjRtImP+l8oUjbN1aMnbs5MJ1AYyCbCMicGzTxuJLivtLL5L008+YUlKUskrvjMa5UydS1qxBbWeP69NPkZOTQ1S9B1Hl5uL56jBSV68h+/hxAOzr16fS26OI++ADHFu1wq1HjyKDBAlfLyBu5kxsqoShtrXDrlZN3Lp3J/rlVzAW+FDv0KIFKhsb0v7+G/sG9QletOiuGYmam5TEiSbXprH5Tp2KvnEjTj7SrshjnDt3xnvECHSVvO9EE0ss8+BBzvbug1uPHlQa/bbV/qzjx7EJDS11IMxsNpNz+jRab280jo4YDAZ2DxyE67ZtVnXDt229o69HcW+6W/+G3W5ZR49y+qmnS1T3+um9xTHl5BAzfDhp6/7GsXVrAuZ+dtveYy++O8Xib7XHgAF4v3lttc6THR4l5+xZ3J57jkqj3y7zaJnc1FRyExLQBQdf+2GlFP3n+lGYpRnBebcpOG3Ze8QIsk+exL5OHdx6dL/BkeJ69+t70M26rSOYDh06xKRJkxg7diw1atQosl5kZCSxsbF06NDBahqcnZ0dLVu2ZPny5URFRREeHg7Ahg0bAJQAUkEdOnRg3rx5bNy4UdlfXP1GjRrh6urKxgK5JrKystixYwdVq1a1Ci7ln+ejjz5i+/bttGtX9AdLIYS4H5gNhhLlMcqJjubS1PcwZWeRsd169a58aevXk7Z+PV6vv477iy+g0miIHTuW1JV5I20KfmANW7cWnb8/KpUKr6FD8Ro6lDPPP2+xDHFReSVut4KJUvUNGmATGmqVC+HKwoXkpqbi995ULk2frpRfGDPGKmikcXFB4+iI9xuvk7lnDxm7dhE3Yyam9LRi25F94oRVoukrX31tsa0LDMTtuedQaTTKr8iQ9ytm5HtTlQ9Wjk2bcqZnLwAy//tPWWkmY9t2zAYDngMGWJzXnJtLdlQUcTNnApATdRKArMOHSVr6g1LPZ8J43Hr1Uo7J3LMH+zp17prgEoDG1RW3Pr2VpZ21nh7YBATg3rcv2VFRZO7bhyk9nZAflhLz5luYTblUGvPOXRlEsa9Vi4idO4p83dpVrXpT51WpVMqv4/mMjo5W9UJ/X35X3hch7hZ21aoRsX0bFyZOUkaZVhozRpmeBuDWuzeegweVahEJtY0NgZ8UveLcrVRpzDsWf68T5s8nbcN6fCZNQlepkjKK0mPgwFsyFUvj5FSmgJB7v37ogoKIefU1MJsxXrp0zwaYCubEc3/xhbvqb6kQcBMBJqPRSL9+/ahWrRpvv239y1hBkVcz2ucHj66XXx4ZGWnx2NHRsdAcSAXrlOQaKpWKKlWqsHv3bjIyMtDr9Zw8eRKTyVSiNhUVYMrOziY7O1vZTrn6K7HBYMBwdclMIW4kv69InxE361b0odyUFOLGjkPt5IT3u5Mthqtn7ttPzAsv4Nz1abzHji32PDGj3yHraqLk66mdnbFv3Jj0tWuVsvg5cwpd9S1f2P59qNRqjNet4uY1cSLx704hc8cOPEePxq5Zs7viNaQpYrnm5F9+wXPsGHKTEos93r5pU+V5uL08lIx+L5Ba4H45d+2K98QJxL37Lik//lToOWyrPUD20WMWZT4ffoBDy5YYTSar3EfX9x9tjRr4L/iamBdetDp3/PsfYFO7NvYPPph3THQ0557pjrnANIjCuL74Io7duln8H+nq1sWYd+Fij73TnHv2UgJMKn9/DAYD7m/l5eLKXw5bpdMR+NuvkJuLWa+/K/peoVSqIldAvFUMBgNZgddygdlUrYpTp45oQkPv3vsi7ir39ecgBwdsHngArgaYdDWqE7R8OeeursLoOngQZmfnu/rehKz/h4tvDCfr6pT27Mgozg0YaPF3wezmetueQ2n7j33r1tiEhZETFUVmdDTqQgYalFTWkSPETZiI5/Dh6B+6uWl7ZaXx9LT6jCRK575+D7oJJb1PpQ4wvffee+zfv58dO3bccChZ8tWVWPLzKF0vf2hVcoEVW5KTk/H2Lny4eVH1S3oNvV5/U2263rRp0yzyRuVbs2YN+hLkFxGioLUFvkQKcTPK0ocq/fgTLv/ljQhK/f13ADKDgzFrNOhPnQIg5Ycf2V2vXpF5C2wuXSJ4714lT4NJpyP2+efJiAhHk55O7tVfCbUNG2AbG4vvd0tQX/dHKr1qVRKbNcNl5w6utG3LieISUz/9FDz9FCcAVqwout6dlJuLb82aOB06RNzjnfFcuQr11Q9+Jx+sr1QzODujKzB1LaVOHXK8vThZ7QFyrz4XldHI9T+B/Fe3DuYVK1DVro3HxUs4Hj2KTXy8sj+5QQPiH+uEz08/43jkCACX27XjRE4OrFtXbNOv7z/qiRMInTkLTYGVggBOD3+Tyx0fJTMkBMcjR6h09UtErl7P2ddeRZ2ZhcnWBk1GBoFz55FetSqRoSGY75b/oxJwfO5ZtKmpnDh8WMmRIooREcGlp58iKyCAbP+rq8PdQ//f4u5wv34Ocrwcj9/Vx5sOHcLo4oLurTdR5eZy4t9/y7VtJdarJ2FHj6K5+sN7weDSlRYtOLFy5W1vQmn6T0hyMjbAhSFDOTFj+g3rF6XKmLGojUaiX3uVkxMnlvg4m0txOO3fT2LLFphuYgU3dVYW+UtwRL70Ikfl/faWuF/fg0or47rPhUUpVYBp//79TJkyhbfeeosHr/6KeT8aPXo0w4dfm2eckpJCYGAg7du3lxxMosQMBgNr166lXbt2Mu+3CDmnT5O5Zw/Ojz+OqhwT596tytqHso8dI/q//6zK7a8ObS+ohcmM0+OPWZWn/LacuA/ypobZ1qiB+9Ah2FatSkSlSkVe19inD2lr13F5Wt7yy54jRhDW+/l7f5j3448DUAUwv/supxo3wVxgtKva1ZVqmzfl5ZwaMxbbqhGEDR5c6POOmjBRGYHi2qcPHbt0ubbzyScxZWeTtXcv9g8+aPHaMD32GAn/+x85kVE0eHsU2iJ+sIHi+4+xeXPMBgO6gADiJr9Lyk8/YZOQgN/i79B4eGBKTyc/gWPINwuoen0S2YEDb3i77kpXFwoRN5bffxqNHSt/w8RNud8/B+U+9BBnf/8DXUgw7Xr2vGf/BmZWqkTs0JcxF/jy6frSS4S9VvbFIopzM/0nqsDKa51u8v3enJvLyavn0WRmlfg8WYePcP7qccE2NvjMnHGDI/IYExLI2LIFh1atydq3lwvkTX1v//zzN9V+cc39/h5UWikFfiAtTqkCTH379iUsLIyJJYzU5o8SKmo0UH4jC44myk8cVZr6JblGfuDnZtp0PVtbW2xtba3KdTqddE5RatJvLBnj40nbuBHDpUtc/jgvl8CVTz/F7733sK1aFV0xX5jvV9f3IVNODhk7d5F5YD/Zx46j1uvx6P8Syct/xzYiHIdmzbjwzhjSruawU9na4vDQQ8p2Pp9Jk7g0ZQpmg4Er8+bh9nhnctPSMKWmYhMUBEDcuHFKff9Zs7CtHMqN6Pz8sO/bB5eHH0bnU6liLpWr01H5zz+UlW8AdD4+ef9Prq4EfVp8noygr74icen3eL/5JjYBAdYVdDpsW7QotNzvBtMZrQ+xfg/SFbim/7uTSfnp2rS83IQE5bHfrJk41q5dquuJikX+homyul/7kM7bmypr16DSast19cmy0jVpgtOunZzu8hTZkZFoK1XCd4T1CqW37fql6D/2Dz5I5p49AGg1mptaeTa7wGIjKnt7Yvq9gDkri6BvFhSZ18lsNhP74rXp52krV5L99NM4tmheaH1jQgJn+/RFbWeHIe4SufGXsa9fX8mD5/DQQ/fla+Z2uV/fg0qrpPeo1COYIC9Bd2EeeihvBZZff/2VLl26FJozqaDC8ieFh4ezbds2Ll68aJWHqaj6RV3DbDYTFRWFn5+fkmQ8LCwMtVpdqjYJIW6v7KgoYt4YTnYRr8vc+MtED8gbERH4+TyuLFqMTWgolUaOyFtq1Wwu8kNC9qnTXJo+DXOOAd93J2MTGHjbnsetYsrORl1IELs4xvh4cs6dQ1+/PtGDBpGxbbvF/sJWOctXeflv6AIDOdX5cUzZWQR98QW5ycno69fHpfNjRD3SDsO5c6Rv28aFiRMxXrxE0IIF2BTIO+T8+OMlCi4VZBPgX6r69xqbwECcO3UkZUXeFAFtKVYbc2jcCIfGjW5X00rN6403rJKYAzh37FgOrRFCiIpBU8wP2vcSlUaD7/RpXHj7bdwLyeN3t/B/fzZRbdoCkLpmLc6Pdii2vtloJHP//rwfiK5OA44ZOera/sxMMq+OBD/RMO9vtnPnzvhMnIDG0ZGs4ydIW7+e9C1bMF03vSh6wABCf19usWhIvtQ1a8g5edKiLPO//5RrORQRmBLiblCqANNLL71UaPmmTZuIjIzkiSeewMvLi5CrXzrCw8Px8/Njy5YtpKenW6wkl5WVxaZNm/Dz86NKlSpKeatWrdi2bRtr1qyhT58+FtdZvXq1Uidf66urB61Zs8Yq6fjOnTtJSkqiY4EPwHZ2djRq1Ijt27dz9uxZq5Xk1qxZg62tLY0bNy7hXRFC3CxTVhbZx49zpkdPq31aP188+vVD5+fH+VeGKeXRgwYDkP7vvyQvX46ukjdmg5HA+V9gSk/HtkoVixExF8aMIXPvXgBOtmtPpXdG437de8vdJHrQYNI2bgStlqq7d6G2s8Ock0PK2rVoXFxxbN6M3JQU0tavJ3bU2wSEhhC3cycpy34BQOPhYTHC5EaCv1+iBIpCl/+GOceAxvHae7XawQHH1q1J/vVXogcOUsrP9e2rPLapXBm/966tfiOuyTkXrTzWON6bK9YAeA4aiOegvCBv7NujSf7rLwI/+7Rijj4TQghRavY1alD5jz/KuxnF0hYYvBDz+us4HztabP3Ln83l8mefobK1JWjB1+gffBDTDaYJpfz5J/r6D2LKzFJWWc3nM2E8xitXlBH6p594ktDly7GrmhdkMufmcrxBQ8yZmcVew75mzWL3C1GeSvXJ8Msvvyy0vF+/fkRGRjJ69GiaNLmWSV+lUtG/f38mT57M5MmTmTHj2lzTadOmkZiYyLBhwyzm577wwgvMnj2bqVOn8uSTTypT1Q4fPsy3335LWFgYbdu2VepHRETQsmVL1q9fz4oVK5R5sAaDgbFXpwkMuG5p5YEDB7J9+3befvttlixZolx/wYIFHD16lD59+kguJSFuE1NODiqdDmN8PFEtW1ntd2zVCr+ZMyx+1YvYsZ24Dz+0WPocwJSSQvbVP/T5U5HULi5U+XsdoCLm1WFKcCnfpfemkbpmLRm7d+PYujUBn31aoiHS6du2kbjke+xq1MBz8KAb1i8Nc04OyX+tALM5L7gEYDRyZeG3ODRupCwdD+D1+mvEz/lI2dafPkPK6TPKdn5wyblTJyqNG0vq6tWo7OzIOXuW5F9/w3jxIgA+Eyfi1rOHRTvUNjZQyDB9h6YPkfzrr0W232fc2CKXRL/fVRr9Nmefy8uT4N737g1slobf9GlUGjsGTSFL1AshhBB3q+tzQpmyslAXMjMnNzWVS1Omkrx8OQDm7GzOPvscjm3bYoiJueF10jZuIvPQIYsybaVKuPW69nlOCTI9+SSu3buj9amEWq+3CC659+2L2Wgk+/hxMq6u1Kvz8ys2v6IQ5e22//Q4cuRIfv/9d2bOnMnevXupX78++/fvZ+XKldStW5eRI0da1I+IiGDixImMHTuW2rVr061bN9LT0/n+++8xGAzMnz8f7XW/mM6dO5emTZvy1FNP0b17d/z8/Fi1ahUHDhygf//+tGnTxqJ+nz59+OGHH1i6dCmnT5+mdevWnDp1imXLlhEYGGgRCBNC3Dqp//zD+aEvF7ovYO5nOF33Ws2ncXHB+60R6Hx8i13aHsCUnExUy1a493+J9K3bALCrUxu/997j1GOdAZQ/0mkbNpC8/Hdcn+pS7DlzU1I4d3XId+ratcTPmUPQtwtxaNQIs9lc5iSWyX/+xYV33rEqj//wQ+KvLysQXCqKQ4sW+EyaiMbJCbee10aHeb/2GqacnFLnenBo2hS1Xo8pI4OQH3/g8tx5pK1fr+zXN7p7pnLdbfT16/PA0SP3bPLWokhwSQghxL0u+8QJ7AvJI3j5k0+U4FJBaf/8Y1UW9M032NeqiSk7m8x9+zk/dKhFTkuNhwdqvZ7QAj/UeQ4dqgSYAJJ+/LHQ9jl3fBT7unXJOnKE0093zbvet9+i0mhK/ByFuNNKn9mslBwcHNiwYQNvvPEGx44d4/333+fQoUO88cYbbNiwwWLaXL4xY8awePFivL29mTt3LkuXLqVp06Zs2bLFKlgEUL16dXbu3MkTTzzBypUr+eijj8jNzeV///sfn3/+uVV9jUbD8uXLmTRpEgkJCXz44Yds2rSJfv36sWPHDqvcT0KIsss5c6bo4NKnnxQZXMqncXTAc/AgQn7+mdDlvxGy7GccW7cmeNG3yrz4fKaMDC7/72Nl23/mTGzDwvApZIGCpB9/JDsqCoCs48eJeqQdsaPfwWwyKXWuHwUFcK5PX0527syJRo05N2iQ1dx6Q1wcyX/8ganAKmJFyT4ZdcM6hXEbOJBzLw9Vtl179iDkp58Imv9FkYkmbyaRqNbDg9Bff6HKhvXY165N4NzPqHbsqPJPPugUr6IFl4QQQoh7lc/ECcrjtI2bCs3/mZuSesPzhK1aSdCCr3Fo0hi1gwNad3fs69W1qKMLDiL8381UWbvGIv2ASqUi8PN5RZ7bvm5dfCZNwq5OHQDsqlcn4LNPqbzirwqfv1Lc+1Rms9l842qiOCkpKcrqdzK1TpSUwWBQpnVW9JUL4j/91OKXmoJCf/0Fu+uXOC8lU0YG5qtT7yJbtsKUnq7sC/zicxxbtgTyEv+nrluHvl49Mvfts8jtpLK3txiWrG/cmJyzZ/Om8yUkYM7IwPmxx3Dt0Z1zfa7lH8pXaexY3J9/TtmOGT6clBUr80ZPTZ+O4dw57GrVQuvubnGc2Wwm+qVro610wUFU/uUXjtdvYFEv9JdlXJwyVVn9JGTp92hr1Lhv+pC49e6n9yBx60n/EWUlfUiURVn6z7kXX1Q+d2m8PInYvNlif+yot0levhyHpk1xbN2aS++9Z7E/eNG36Bs2LPTcOefPEzf7fdT29ngM6K+s/FaYrCNHOD/sVTQeHmQdOACATXAwYatXler5iJsj70GlU9KYh2TnFELcFqasLC6++y7JV5NPA9hWrYr/B+9juHCRxEWL8B41stg/vCWl1utBrweg8l9/EjdzFikrVuDy1FM4FFjKXaVS4dyuHQD29euj0usxXx15dH1CxYwdO6yu49qjOw6NGhGxa6eyWki+nALL1mb895+ycljW/gOc6piXG05lb0/4xg1orr4pX/78C4uVuRyaN8dn4kTUDg5W17ANDyf4u8VcnDQJY/xl7GrUwFi62ySEEEIIcd/TBQXB1QBTbvxlzAYDOefOkfTjj6j0erKOHwfA5ckncO7cGePlyyR88QU2lSsTOPczbK5bJKogm4AAAuZYr7paGLvq1a/mDYW49z8gYf58fCZNKuOzE6J8SYBJiAok+9QpNC4uaD08yrUdV5Ys4dLkdy3KdMFBBH+7EI2LC7ZhYTg2b3Zbrq3z8cHv/dl4vvIyNiEhRU5P0rq5EfjZZ8TPmUPmvn1KeeD8+URftzAA5I0Ysq9bFwCNkxOVV/yVlzj7l19JXbtWGWKduX+/ktT5eubMTLKPH0ffsCFZx09YBJccH3mYgI8/VtpbcIqbTZUwJYm2b8FpfgbDDe+HEEIIIYS4xjY83GL7WC3rPEyoVNjVqIFKo8F7+Bt4D3/jtrbJ+83heA1/Q6bVi3ueBJiEqADSNm2yWEIerZZK74zG/dln73hbMg8e4tJ70yzK7KpXJ/SXZXesDSqVqkQjoxyaNMZh6ffkpqWR/u8WnNo9gkqjIeibb7j82Wd4vvwy+kYNC/1jb1u5MraVK6P19iZ17Voyduzg0rTpXFm4sNhrnu3dB79ZMzHGX7Yo97puRU0Av9mzubJgAf7vzy7BsxZCCCGEEDei8/O7YR2XLl2wrVLlDrTmGgkuiYpAAkxClDNTWhpmV9dS/1HJ2LWLi9OmkX3kqPVOo5FLk9/FsWlTbEJCbk1Di2HKyCBt40bi3v8Aw/nzSnnQgq+xr1MHtHf3W43G0RHnRzso2w5NGuPQpHGJjtV6eiqPrw8uaTw9yb18+fpDiB1huXpmpXdGY1e1qlU9l86P4dL5sRK1QwghhBBC3JhdjRo3rOPer9/tb4gQFdDd/a1PiAoqNy2drMgTeP3xJ6dGvQ2Az8SJuPXsccNjjZcvc2XRYhIKWSHxegkLvsF30sQi96dt3EjSb7+RsWMngV98gX3Na39wc86e5eKUqWSfOIEpLQ2bkBDcej+Pa5cuSp3syEiS//iTpJ9/JvfKFYtz34rk3fcCrZtboeWerw7Do18/UteuxRAXlzed7mfrUVz3y30SQgghhLgb6Ly9rQs1GgI/+5TsU6dxfrQDOl/fO98wISoACTAJcZuZTSYy9+xB6+WFTXAwWUePcvb53pjS0ykYmrg4cSJp69dbLVuaefAgZoMBUHG2kClvtuHheAwehHOnTqhUKnKTkznRuAkAST/8QOaBAxhiYgj96Ud0QUGY0jNQO+gxxsUTPWiwcp4z3brh/fYoXLt1I/6DD0hc8r3FdbIOH+bC26O58PZo9I0a4Tl0KOdefBFMJqs2ufbscd8ETVQ2NuibNCFj+3YANK6uuD7TDc8hQ1CpVLg8+SQACV99ZXWsU7tH7pv7JIQQQghxt3Dv148rixZRaeQIkpb9gs+E8ejr18exVavybpoQ9zQJMAlxmyXM/9IimXNx0jZuxHDxIjofHyAvafeZnr0gN9eintrZGa9hw3B7/jmrqXUaFxeCF33L2d598s5xNG8KXdzs91HZ2ZHyxx+obG2xCQ21un7c9BnETZ9xw3Zm7NzJuZ07lW1dUBAh3y1G6+VVoudZ0egbNlACTAGffIy+QQOrOvYPPgjkraQX8uMPmA1GNI4Od7SdQgghhBACvEeNxPPloWicnHDv27e8myNEhSEBJiFuMbPBQMrqNST/+itmg4GMAoGYgvStWhJ3+TK1Pv8c05kznH2+NwDZx4+Tsfs/tO5upG/fYRVcqvTOaNz79Cm2DfqGDQlbvYqTHR5VylLXrr3Wxuxsso8dAyBg7mck/7ac1NWrrc6j9fHBZ8J4tN7epG/+l8vz5mHOyrKo4/XmcNx69ULj6Fhsmyoy24gI5bF9/fqF1tHXq0foL8uwCQ1FbWsLtrZ3qnlCCCGEEKIAlUplsWKvEOLWkACTEDfJlJXFyQ6PYrx0CfsHHyTwiy/QODpw9vneZO7fb1XfpkoYtpXDsKtVE52PL/Yd2rNv5Urqurhg16ABTh0fJXXlKotpa/ns6tRGrbPB9ZluypSrG7EJDsYmJIScM2eKrKP18cGpTRt0Pj4WASbPYa+gcXLCuXNntO7uANjXqIHn4EHknDvHyfbXEmK7de9+XweXAJweeQTvEW9hV6tWscna7apXv4OtEkIIIYQQQog7RwJMQpSQ2Wy2CB5c+WYhxkuXAMjcs4fYUaPwmTC+0OASQOiPP6LW65Vtg8Fgsd+uenVSV66yOk6l0+E/axY2QUGlbnPwku8wpaeTsWMHF8aOs9rv1LYtALYPPIDHkMEYzp7F++23C09+eJVNUBDeI0eSvn0bPmPGoHFxKXW7KhqVSoXHSy+VdzOEEEIIIYQQotxIgEmIEkj67TcuTZuO19AhuPftS+bBg8R/+qlFnbS//+aS9tpLymPgQBK++AKAoG8WWASXCuPWqxeJi79TglYAGjc3qqxbi9rh5nL1aN3dwd0dlUajlFV65x30jRuR8tcK3F/oB+QFSLxfe63E5/V48QU8XnzhptokhBBCCCGEEKLikQCTEMUwm0yc69uPjF27ALg0bTqXpk1X9js+/DABn3zMmZ49ydp/QJlm5jt9Gq5duuD16jBMGRlonJ1veC2NoyNha9eQc/o0Wnf3W5owW+fnR+U/fkft7IKuUt7oJLuqVW/Z+YUQQgghhBBC3N8kwCREIcxmM8bYWDIPH1aCS4XxeWc0KpWKrP0HlDKVnR3OnTrlPdZqSxRcyqe2sbltgR/b8PDbcl4hhBBCCCGEEEICTEIAhktxJH73HSqtBtsHHuDi+AnkJiVZ1PF6/TXi53ykbNtGRKDz9wdA4+VJbvxlAByaNkVtY3PH2i6EEEIIIYQQQpQ3CTCJ+54xMZGoVq2KrRO8eBG6oCASvvoaU2oq9nXq4Dd7lrI/5LvvONm+A/b16uE7dcrtbrIQQgghhBBCCHFXkQCTuO8lLlpU7H73vn3RN2gAQPi/m1Gp1ah0Oos6NkFBVDt29La1UQghhBBCCCGEuJtJgEnct7JPneL80JfJOXMGANvq1cg+khck8hg0COcO7UnfvgP3559TjlHb2pZHU4UQQgghhBBCiLuaBJjEfcmcm8upTo9ZlIX+9BPGS5dI37ETlyefQKVWY1e9ejm1UAghhBBCCCGEuHdIgEkAeaumpf+7BY2TI1pfP2Up+4rq0tSpFtu+U6ei0mjQ+fnh+lSX8mmUEEIIIYQQQghxj5IAkwAgY8cOogcMyNvQ6QhbuQKbgIDybdRNMiYkkH38OBm7d5O+bTv+s2cpq70B5CYlkbjke2X7gUMHUWnlpSCEEEIIIYQQQtws+VYtMBsMJP287FqBwcDJR9oRsXs3GkeH8mvYTcg6cYLTTzxpURb3wYf4vz8bs9mMSqUi6+i1ZNwSXBJCCCGEEEIIIcpOvlkLsk6cIOXPP63KDdHn0FSrVg4tKjmzyYQpPR1TRgbR/fuTHRllVSflr7/Ijowk+8QJVDY2+EwYD4BD04ckuCSEEEIIIYQQQtwC8u1aYBsWVmi58XLCHW5J6ZjNZo5Vr1Hkfr/Zs4l96y0Ask+cyDsmJ4cLY8YCoPXxvf2NFEIIIYQQQggh7gPq8m6AKH9qOzvlsdb3WtDFePlymc5rvHKFhK++Jm3jxjKdpyg5p04VWu7SpQtV9+/DpfNjeL32apHHO7ZseVvaJYQQQgghhBBC3G8kwCQAcO3eHVQqAv73EQ4tWwBgjI8v9XnMZjOmjAwALn/yCXGzZhE9aDA5Z87cyuaSm5ZG+pYtVuWhv/6C3/RpqG1tAfAcMgS7mjUB8Hl3MnbVqwPgMXAgTh3a39I2CSGEEEIIIYQQ96tSBZhiYmKYM2cO7du3JygoCBsbG3x8fOjatSs7duwo9JiUlBSGDx9OcHAwtra2BAcHM3z4cFJSUoq8zpIlS2jUqBEODg64ubnRqVMndu/eXWT9yMhIunfvjpeXF/b29tSuXZtPPvkEk8lUaP3s7GwmT55MREQEdnZ2+Pr60r9/fy5evFia21Gh+EycQPjWLdjXqoV9nToAZB0+TNJvv2EoxX2Jmz6d4w/W5+gD1SxWass8dPiWtDPr2DEuTn6XEw0acum9aQA4tmmDxt2d0OXLsSskZ5T/nA/x//h/uHbrRsDcuQQvXoTXG6+jUqluSZuEEEIIIYQQQoj7XalyMH388cfMmDGDsLAw2rVrh7e3N5GRkfz222/89ttvfP/993Tv3l2pn56eTqtWrdi3bx/t2rWjV69e7N+/nw8//JD169fz77//4uBguUrZe++9x5gxYwgKCmLw4MGkpaWxdOlSmjVrxurVq2ndurVF/SNHjtC0aVMyMjLo3r07/v7+rFy5kmHDhnHgwAG++OILi/omk4knn3yS1atX07hxY55++mlOnjzJggULWLt2LTt27MDHx6eUt/Hep1Kr0bq5AaCvXx+A1NWrSV29GufOnfGfPQsAc24uKo2m0HNkHT3KlYXfFrovOzKyzG1M37GTc337WpX7jBuLzs+vyONsAgKwCQgAQFfJG10l7zK3RQghhBBCCCGEENeUagRTo0aN2LRpE1FRUXz11VdMmzaNn3/+mfXr16PRaBgyZAjZ2dlK/ZkzZ7Jv3z5GjhzJmjVrmD59OitXrmT8+PHs27ePmTNnWpw/MjKSCRMmEBERwYEDB3j//ff5/PPP2bp1K1qtlv79+2M0Gi2OGTJkCMnJyfz2228sXryYGTNm8N9///Hwww8zf/581q9fb1F/4cKFrF69mp49e7Jt2zamT5/OTz/9xJdffsm5c+cYNWpUae9hhWNfpw4UCCLlrzBnvHyZyOYtuDBuvNUxOedjOP1Md4sy7xFv4Tl0KACJS5diTEwsU7suf/JJoeXFBZeEEEIIIYQQQghx+5UqwPT000/TokULq/IWLVrQpk0brly5wsGDB4G8XDxffvkljo6OjB9vGZAYPXo0bm5ufPXVV5jNZqV8wYIFGI1GxowZg4uLi1Jeo0YN+vTpw8mTJ/nnn3+U8hMnTrBp0ybatGlDp06dlHKdTsfUqVMBmD9/vsW187enT59uMUXqhRdeoFq1avzwww+kpqaW5rZUOGp7e7TXjfLJ2LOXxB9/JDcxkaSffrI6JnXtWigQ/Hvg4AE8XnoJz5eHYlu1KqbkZK58/bXFMQX/74uTsXs3ka1ak7Frl2U7HR2pvHJFSZ+WEEIIIYQQQgghbpNbluRbp9MBoNXmzbqLjIwkNjaWZs2aWU2Ds7Ozo2XLlsTExBAVFaWUb9iwAYD27a2TL3fo0AGAjQVWJCuufqNGjXB1dbWon5WVxY4dO6hatSrBwcFWx7Rv357s7Gy2b99ekqdcodmGhFpsRw8aROKixcq2+WowKW3zZo7VrkPcjBnKPpcnn0B1tT+oNBo8XnwBgIT5X5K8fDnZUVEk//EnJxo24uzzvYsMNKWsWMHRB6px9vneGC9dAsCudm18p07Bd+oUqu7ehW1oaKHHCiGEEEIIIYQQ4s4pVQ6mopw7d45169bh4+NDrVq1gLwAE0B4eHihx+SXR0ZGWjx2dHQsNAdSwTr5iruGSqWiSpUq7N69m4yMDPR6PSdPnsRkMpWoTe3atSvy+WZnZ1tMBcxPWG4wGDAYDEUedy+xqVWL9K1blW3TdaO6jtWsReiWf4keMNCiPHjFCnSBARb3QXt15TaA2FFvW9TP2L2bzHPnrKa5mbKyiBn+plW73Ie9gr5JE4B7/l7nt/9efx6i/EgfEmUh/UeUhfQfUVbSh0RZSP8RZSV9qHRKep/KHGAyGAz07t2b7OxsZs6cieZq7p7k5GQAi6luBTk7O1vUy3/s7V14Auai6pf0Gnq9/qbaVJhp06YxadIkq/I1a9ag1+uLPfZeoXNxJhTI1evRZGQUWud0s+ZWZWsPHoCDB6zKXTs/hveffxV6nrMdHuXsq8PI9vcHwGnvPnyXLrWqFzVhPCeuXIEVFWta3Nq1a8u7CeIeJ31IlIX0H1EW0n9EWUkfEmUh/UeUlfShkskoIiZwvTIFmEwmEy+++CKbNm1iwIAB9O7duyynu2eMHj2a4cOHK9spKSkEBgbSvn17JUhVERgeeQS13oHoHj0wxsQUX1mjIWTtGqp4eRW629S6NaeKCDAB1ElLx/NqHq3obxaSPz5MZWeHSqvF+ZlneLRbt5t5Gnctg8HA2rVradeunTLFVIjSkD4kykL6jygL6T+irKQPibKQ/iPKSvpQ6eTP2rqRmw4wmc1mBgwYwOLFi3n++eeZN2+exf78UUJFjQbKb2DB0UQuLi6lrl+Sa+QHfW6mTYWxtbXF1tbWqlyn01WozqkLCgJA6+mhBJg8Bgwg9Z9/yDl5Uqnn2LYtgZ99WvzJXFzwHjWKlBUrCJw3F62HB6acHM4PHkL61q0kff01+urVcen8GMaLFwFw6vgovhMnonZ2tkjIXtFUtH4j7jzpQ6IspP+IspD+I8pK+pAoC+k/oqykD5VMSe/RTSX5NplMvPTSS3z99df06tWLb775BrXa8lSF5UwqqLD8SeHh4aSlpXHxaoChJPWLuobZbCYqKgo/Pz8lyXhYWBhqtbpUbRKgdXO/9tjXh6Cvv8ZjQH+lzKN//8IOs+LxQj9Cf/oRrYcHAGobGwIKBKZi33qL0127kZuYCIDv5MloXFwqdHBJCCGEEEIIIYSoCEodYDKZTPTv358FCxbQo0cPFi1apORdKig8PBw/Pz+2bNlCenq6xb6srCw2bdqEn58fVapUUcpbtWoF5OUyut7q1ast6gC0bt26yPo7d+4kKSnJor6dnR2NGjXi+PHjnD171uqYNWvWYGtrS+PGjYu7Bfcdjce1AJPG0RFdJW+833wTz5dfxuv117CvV/emz622s8P/4/8p21mHD+eVu7igcXK66fMKIYQQQgghhBDizilVgCl/5NKCBQt45plnWLx4caHBJchbxa1///6kpaUxefJki33Tpk0jMTGR/v37W4xOeeGFF9BqtUydOtViGtvhw4f59ttvCQsLo23btkp5REQELVu2ZP369awokPjZYDAwduxYAAYMGGBx7YED81Y9e/vttzGbzUr5ggULOHr0KD169KhQeZRuBZ2Pr/JY7Xgt6OM17BU8Bw8u8wgj53btCPjkY4syBwnyCSGEEEIIIYQQ94xS5WCaPHky33zzDY6OjkRERDBlyhSrOl26dKFu3boAjBw5kt9//52ZM2eyd+9e6tevz/79+1m5ciV169Zl5MiRFsdGREQwceJExo4dS+3atenWrRvp6el8//33GAwG5s+fj1Zr2eS5c+fStGlTnnrqKbp3746fnx+rVq3iwIED9O/fnzZt2ljU79OnDz/88ANLly7l9OnTtG7dmlOnTrFs2TICAwOZMWNGaW7JfUHfoH7eA7Ua28qht+Uajm3bogsKwnDuXN721dFpQgghhBBCCCGEuPuVKsB05swZANLS0pg6dWqhdUJCQpQAk4ODAxs2bGDSpEn8/PPPbNiwAR8fH9544w0mTJig5EYqaMyYMYSEhDBnzhzmzp2LjY0NTZs2ZfLkyTRs2NCqfvXq1dm5cydjxoxh5cqVpKWlUaVKFf73v//x8ssvW9XXaDQsX76cGTNmsGjRIj788EPc3Nzo168fU6ZMwcfHpzS35L7g8NBDhK1ZjdlgwCYk5LZcQ6VWE7rsZ0wZGahsbNC4ut6W6wghhBBCCCGEEOLWK1WA6ZtvvuGbb74p1QVcXFz44IMP+OCDD0p8zHPPPcdzzz1X4voRERH89NNPJa5va2vL+PHjGT9+fImPud/ZXF1R7nbSODlJ3iUhhBBCCCGEEOIeVKoAkyhcfi6nlJSUcm6JuJcYDAYyMjJISUmRpTHFTZE+JMpC+o8oC+k/oqykD4mykP4jykr6UOnkxzoK5rEujASYboHU1FQAAgMDy7klQgghhBBCCCGEELdeamoqLi4uRe5XmW8UghI3ZDKZiI2NxcnJqcwrql2vYcOG7Nq165aeU9wdUlJSCAwMJDo6WlYuLAV5TVwjfUjku5nXhfQfURb3Qv+Rvxd3t3uhD1U0Fek1If1HlFV+H6pSpQr//fdfeTfnrmc2m0lNTcXPzw+1Wl1kPRnBdAuo1WoCAgJuy7k1Go28aVZwzs7O8n9cCvKasCZ9SJTldSH9R5TF3dx/5O/FveFu7kMVTUV8TUj/EWVVEV8Xt0txI5fyFR16EneFwlbCE+J+Jq8JIazJ60IIa/K6EMKSvCaEsDZgwIDybkKFIlPkhCgnKSkpuLi4kJycLFFzcVOkD4mykP4jykL6jygr6UOiLKT/iLKSPnR7yAgmIcqJra0tEyZMwNbWtrybIu5R0odEWUj/EWUh/UeUlfQhURbSf0RZSR+6PWQEkxBCCCGEEEIIIYQoExnBJIQQQgghhBBCCCHKRAJMQgghhBBCCCGEEKJMJMAkhBBCCCGEEEIIIcpEAkxCCCGEEEIIIYQQokwkwCSEEEIIIYQQQgghykQCTEIIIYQQQgghhBCiTCTAJIQQQgghhBBCCCHKRAJMQgghhBBCCCGEEKJMJMAkhBBCCCGEEEIIIcpEAkxCCCGEEEIIIYQQoky05d2AisBkMhEbG4uTkxMqlaq8myOEEEIIIYQQQghxS5jNZlJTU/Hz80OtLnqckgSYboHY2FgCAwPLuxlCCCGEEEIIIYQQt0V0dDQBAQFF7pcA0y3g5OQE5N1sZ2fncm6NuFcYDAbWrFlD+/bt0el05d0ccQ+SPiTKQvqPKAvpP6KspA+JspD+I8pK+lDppKSkEBgYqMQ+iiIBplsgf1qcs7OzBJhEiRkMBvR6Pc7OzvKmJm6K9CFRFtJ/RFlI/xFlJX1IlIX0H1FWt6IP5WQauXw+FZ8wV9Tq+yNVzo1SAkmASQghhBBCCCGEEKIUvp+8g7TEbKo386VN72rl3Zy7gqwiJ4QQQgghhBBCCFECcWdT+HTwP6QlZgNwZMsFcjKN5dyqu4MEmIQQQgghhBBCCCFuIP5cKj9N221VHhuVdOcbcxeSKXJ3SG5uLgaDobybIYqg0WjQarU3nFMqhBBCCCGEEOL+dPZQgsW23tmGjJQcjm69gJO7HRqdGldvfTm1rvxJgOkOSEtL4/z585jN5vJuiiiGXq/H19cXGxub8m6KEEIIIYQQQog7wGQylzhJd0ZKjvK4+zsNyUjN4c+P93Nqbzyn9sYDMPSzNqjuk6Tf15MA022Wm5vL+fPn0ev1eHl5yQiZu5DZbCYnJ4f4+HhOnz5NeHg4arXMHhVCCCGEEEKIiio3W8X81zZjNkHNVv606lVV2WcymTmx4yJ+4a44e9qTkpDJqs8PEX8uFYAWPcLxCnLCbLIeRJKWlI2Tu90dex53Ewkw3WYGgwGz2YyXlxf29vbl3RxRBHt7e3Q6HWfPniUnJwc7u/vzDUEIIYQQQgghytO5IwlE7Y6jefdwbOxubcgiIyWHVZ8fJCvDQGqKPWZTXvmhTTFKgMlkMrNk4naS4zLRO9ug1qpIu5JtcR69sy0AKrWKTkNrs+KzA8q++HOp922ASYZp3CEycunuJ6OWhBBCCCGEEKJ8/fG//RzdeoF9a88VWefUvnjWf3eMxIvpJT6v2Wxm5bwDXDiZTOKFDIzpmgI7ITM1b/rbpu+PkxyXCeQFpK4PLgG4eF0bPBJa25MBc1pSpYE3AP8sOkpW+v2Zf1m+UQshhBBCCCGEEKLcrZh7bSTQrr/OcP7YFU7sumiVz3jT98c5sjmWJRN3sP+faHKNJg5uOE/Uf3GFnjctMYvPhqzn4qmUIq994WQyxpxcDm+OLbaNzp52eAQ4WpTZ2Glp1DkUgOx0I799sKfYc1RUMkVOCCGEEEKI+4jJZObU3ngyUrKp0cIfjfbab875X+Jk9L0Q4na7eCqZjOQcfMJcyM4wsGTiDqs6y+fsA/Jmm7h42ePqo+dKbDrpydeSbf/7YyT//hipbDu618cn1MXiPHvXXBsN5VpJT4ueVdhzdAsNazXnyL8XObHjEpfOpLD6y0PFtrl6Cz8adgotNCm4m48DvmEuXDiZTEJMOheikvCt4lqSW1FhSIBJ3DJnzpwhNDSUvXv3UrduXavtG+nXrx9JSUn89ttvt72tQgghhBD3o9jIJH59/9ov65t/iMTD35FcowljTi5piXlTQfyrutK2TzWcPe5cDtGUhEzsHW3Q2WpuXFkIcVeKPnqF3z/ah4e/A0+8Vg+9c+ErdJ89nMCfH+8v8XlXz78W+HFwtS227ualJ2jZqyoOLjY4utkR9V8cB9afV/bXaxeEbxUXVCfAO8SZc4eTANiz6qxSx9nTjpqtAti6LAqAZt2q4B3sjE+YS7ErzrXsVZUfpuwE4JfZe3h5XtsSP8eKQAJM4rYJDAzkwoULeHp6lndThBBCCCHue4kX0y2CS/kSYtKsymKOJ/Hje7voMaYRjm62ZCTnYOeoI9dgIiMlB9dK+lvatvwvpTb2Wp55u8EtP78Q4vbbuiyKvVfzJiXEpLP03R10G9UAjU6NVqfGbAY7Bx1gORXuen2nNcWQncsvs/YUmssoPSkvEN7t7QZcPJnMvz/ljV6q0dKfw5tiiDubys/Tdxd6brVGRdUmPpjMuUpZ4ANuFsElgBot/KnXLogj/8aScjmTkFqeJXpfcvW2DMrHRiWhVqvwDnEuNjBVUUiASdw2Go0GHx+f8m6GEEIIIcR9b+/ac8ov8QDhDSvh4GLDqX3xpFzOUsq9gpzQO9tw9lAC2elGvn1na6HnC6zmRu02gQCYgZBaHqWaVmfIzsVkAFOuGXQoOU9yMo18N2E7L85ujr1j4SMf7rSC0wYNObn8MGUn6ck5DPywJar74AujECWRcjlTCS7ly0w1sGjsNouyFj3CuXQ6BZPRMqcS5I1MqtcuCEe3vBXY+kxrSlaaodD3oVptAqgU4ox3sBN2jjo8/B3xDHAk7EEvfr86ra4wAz9qhUarxmS4FmDyr+pmUSeicSXqPJL3/tZtVH2MBhMOLsWPmsqntdHwwszmLBj5LwAblxznSmw6zbpVoe4jQSU6x71MAkx3mNlsxphjKpdra23UpfrDv2rVKqZMmcKhQ4fQaDQ89NBDfPTRR4SFhQGwc+dOBg0axNGjR6lZsyZjxoyxOL6wKXKHDx9m5MiRbN68GbPZTN26dfnmm2+UcxaUnZ3NiBEjWLp0KSkpKTRo0IAPP/yQhg0bApCYmMgrr7zCmjVrSEtLIyAggHfeeYcXXngBgJiYGIYPH86aNWtQq9U0b96cjz76iJCQkJu4e0IIIYQQ5SMny0jMiSQCH3Dj/PFEzhxMILy+N1uWRRF/LpU2vR8g4AE3zh5MIOxBb9ISs/AKclI+9x3bfsEiuNRpaG1Ca+eNMG/WLZzMtBx2/H6aGs398ApyAmD3yjPsWH6qyDZFH00k+miisv3E63UJfMC9xM9nyfidZGc48eXf/xJS04MzBxMs6kTtjqNW64CS3aDbwJiTy44/TmPnoGX/39E4udvR5c0H+eLVjUqdo9su4FPZhZN74nD3dSAtMZsD66N5sEMwNVr4l1vbhbgTTCYz6xcfw5Bl5OSeeIt9zp52OHnYE3M80eq4zT9cy5XkHexEq2er4ubjACrQ2VhOj9XZaNC5a2jVK4LTBxJ4uG81VCpIScjCKzAvybZKpaJq42uDGgIfcOeJ1+sWGmQKreNpkXMun0ql4tmJjflhyi5qtQmgWdcqyj5bvY6ShZau0Tvb4OBqS3pSNldi81a5C67pUcqz3JskwHSHGXNMfPHaxhtXvA0GftSqVHPa09PTGT58OLVq1SI9PZ3x48fz1FNPsW/fPjIzM+ncuTNt27Zl8eLFnD59mtdee63Y88XExNCyZUtat27NP//8g7OzM1u2bMFoNBZaf+TIkSxbtoyFCxcSHBzMzJkz6dChA1FRUbi7uzNu3DiOHDnCypUr8fT0JCoqiszMq8tJZmTQpk0bWrRowaZNm9BqtUyZMoVHH32UAwcOYGNzd/wiJoQQQghRmLizKexdc46EmDQSL2YAEPagl/JF7vCmGKXu+kXHlMeblp6wOE+jx0PZ+cdpZbvVs1WV4FI+e0cbWj9b1aKsXvsgYo4ncv5Y3hdE7xBnnNztcPG2JyfTyKGNMRb19/8djV+YKwAaXfELVe9dc47sjKuf/8wowSUHV1tC63hyaGMMkbsulTrAlJaYhdkMTu52pTouX/SxK5w/eoWGnUP5ecZ/FlMHM1MNbFpy3KL++kXH0NqorX483vDdcao385PRTaLCMebkculMCpVCnDm9/zLHtl6wqpM/Uic9KZsty6LIyTTiF+7Ktl9PWtVt/dwDSlC7ODVbBVCz1bX3A3un4r/LBT7gTngDbyJ3560o93DfaoQ3qIRaW/Rr0s3HgcGftL5hW0oqP8AE5CUnv0+m/UqASRSpa9euFttfffUV3t7eHDlyhK1bt5Kbm8vXX3+NXq+nRo0anD9/niFDhhR5vk8//RQXFxeWLl2KTpc39zYiIqLQuunp6cydO5dvvvmGjh07AjB//nzWrl3LV199xYgRIzh37hz16tWjQYMGABYjk5YuXYparebLL79Ufr1bsGABrq6ubNiwgfbt29/0fRFCCCHEvedKbDoXTydTralviUd0m81mzGaUvBlmsxnM3NbAgclk5syBy6ycd9Bq3/WjBEqiYHDpuUlNSvwlR6NR8+Tr9YC8aWs29pZfG5p0CePw5hi2/ZL3pfHswQTmDduAs6cdz4xuqORZKSgpLoPMlBwid18q9JrPjG6A2QSHNsVw4WQyS9/dqQR5XpjZHLVaxekD8fhXdbNIPm7KNbH+u+Mc23oBWwctfaY2xcaudF9zYiOTlBEPe1afK7TOse0XrcqKmpmQEJuO53XLmAtxL7t4OpllM/67YT3vEGcgL8DS/qUaSnl4w0pWU93cfG5f0CWisQ+Ru+PwCnIiolEl1JriA9+3WnANd+LOpOS1pVGl+2ZlTgkw3WFaGzUDP2pVbtcujZMnTzJu3Di2b9/O5cuXMZny/oCeO3eOo0ePUqdOHfT6a28KDz30ULHn27dvHy1atFCCSze6tsFgoFmzZkqZTqejUaNGHD16FIAhQ4bQtWtX9uzZQ/v27enSpQtNmzYF4L///iMqKgonJ8uIeFZWFidPWkfPhRBCCFFxXTyVzLKZeV+M1i86RteR9fGpbLmEtdlsJicrl5xMI8e3X8CQncuB9eeVAELP8Y3YvPQEGSk59BjbqNBpFsVJvJjOoU0xFvlFCnPk31g2XjdS5npBNTy4HJ2Km68et0oOHNoUU2RdlQrMZqhc1+umf0G/PrgEYGuv5cH2wZhyzRZT6VIuZ3F4cwzOnvbobDWE1MobLXV4cwwbvrv2vNQaFc4PZJJ02A57Jx19pzVT7qmbjwOJF9ItRhD98fE+cg0mEi9m4FpJz7MTGytf2E7svKSMpMhONzL/9U34R7jSpnc1XLxKtgreyT1xVmVqrYrw+pU4vsMysPRghyDsHGzY+kvetEPfKi606B6Bzk7D+kXHiI1M4ocpO6nZyp/abQLypv8IcY+IOZ5IVrqBsAe9AYjcfYkD/5zn4qnkIo9x8bInNTELtUZNpasBpus5udsx5NPWRO6O4+SeOEJqeaK1uX0rRobU8izXFdzqdQjmyoV0tDYa6ncKKbd23GkSYLrDVCrVPbP06uOPP05gYCDz58/Hz88Pk8lEzZo1ycnJUZIdloa9fcmXuS2YTPH68vyyjh07cvbsWf766y/WrVvHww8/zMsvv8zs2bMxmUzUr1+f7777zurcXl5epW67EEIIIe4dZrOZlMuZOHvao1KpOLjxvMX+ZTP/w81Hj6O7HS17RqCz1bB43LZi82QunbxTeZwcn4m7b+mCBvmrIanUKho9Fsq2307iHZyXoNbeyYaYE4ls/+2kRTDHP8IVQ3YuLXpE4B3sRPTRRPQuNngFXvsBLe5sCoc2xeDoZkvPcY24dDqFwOrud+zX8vodgnH3dWDV5wfJ/3i4/bdrAafGT1amyoPeFsElgJqt/EiwOUajpg/iHeRiEbDTO9uQeCHdov7l6GvBpqRLGVw6nYJPZRcid1/i74VHrdoVcyKJvWvO0vq5B274HFKvZHH0uqk+do46eo1vjN7ZhsDq7qxbcKRA2wPQ2qiJjUrCM9CReu2ClBFT/2fvvsObKr84gH+TNN10lw5aWkbL3ks2iKDiQgRUUIbiQH8unAgqIKAgIuIAAWUvAdmjlFnKKNBCC7RAd+neM23m/f0RcntvRpsFLeV8nsdHenNz8ya5ueO85z2vTysXZCeWAgBunMnCjTNZj9w05eThlXKtgM2efOmLXji8Mg7VFbqzuHENf709Qvr4QFImhY1YVGfwXSgSol0/X17NpKZKbCvCU293aehmPHAUYCJ6FRUVISEhAX/99RcGDx4MAIiMjGQf79ixIzZt2oTq6mo2cHTx4sU6t9m1a1ds2LABcrm83iymtm3bwtbWFpGRkZg4cSIAQC6X48qVK/j444/Z9by9vTF16lRMnToVgwcPxueff46lS5eiZ8+e2LFjB5o3bw4XF/1RdEIIIYQ0Tas/PAOFXIWeT7ZEu35+SL1WqLNOSa4EJbkS7PrxCoa8EmrSJCw1lXXfcOl9zr2ptmOP30VydD4qS6QADGcePfdBN7TsxC8Kq69IbPMgF4yf1RvO7vawcxTrPOd+EwgFaN3dGxNm90V1pUynsG7UvhRehtOg8SFo3cMb9s1EOHz4FoK7eupcF/q0cmGLA7/wSQ/s++WqzuvuXhKNoRPb4W58Mbts6o8DEXvyLq4eUw9x09SP0qc0Xx2kCu3rg/2/XoNcqp5RasTUDmjZ0ROOLrU1XkL7+sArwBmROxMR0seHrfH0zHtddbbbcaA/+/oaadcL2UwuQhqr6koZb2iuJutT25BXQpF5qwSFmRV46Yve7G/F1fvRqDFE6vZgByKSh4a7uzs8PT2xevVqJCUl4eTJk5g5cyb7+MSJEyEUCvHmm28iPj4ehw8fxtKlS+vc5v/+9z+Ul5fjlVdewZUrV5CYmIhNmzbh9m3dNHAnJyfMmDEDn3/+OY4ePYr4+Hi89dZbkEgkePPNNwEA3377Lfbt24ekpCTcvHkTBw8eRIcOHQAAkyZNgpeXF1544QWcPXsWqampOHPmDD766CNkZmbqvB4hhBBCmoak6Hwo5OpgUUxYBrbNj4JcqoS7ryPe/WMYHJrxgxlSiUJvbZ02Pb3RcaAfxnzSAx0H+vEe0wSLNKL2p2D9V+dwZlvtNU11pQxXwzMgKZdBwZkOG8C94FLdvIPqL3yr0TzIhRcQaQheAc4IbO+BN38ejH4vtMaYT3rorDP2817oNiKw3iLcfZ4JxtPvdsGEr/sgoJ07enOGl3Qa7M/++8zW20i5pq5L9cz7XeHkZocBY9tiyg/qkgllBdXY9M0FFGtlQwHAgd9icXxdPP6ccQqleRJ2uau3o85nKRAI4NnCGS983AMdB/prb4rHzUe9n7lzMtwO/REHuVSJP949iT/ePQmlomFmlCaPnhsRWci8VVz/igCuHb9b7zqDxoegy7AAPP1uF7y+YECDH3dI40MZTEQvoVCI7du348MPP0Tnzp3Rrl07rFixAsOGDQMAODs748CBA3j33XfRo0cPdOzYEYsXL9YpDM7l6emJkydP4vPPP8fQoUMhEonQvXt3Xp0lrh9//BEqlQqvv/46Kioq0Lt3b4SFhcHd3R0AYGtri1mzZiEtLQ0ODg4YPHgwtm/fDgBwdHREREQEvvzyS4wdOxYVFRVo0aIFRowYQRlNhBDSBMhqFDi+Lh7lRTUYND4EVaVStOrqpbdWDGm87iYUo7KkBh0G1H3TDqi/8+w7pfBp7YKEcznwbtkMgR08kJNUCoZhcPdWCaQSBa6f0t+R9Mz73SASCTF18SCU5avr+Pw545S6HZwsmIHj2qLz0BawEdeWNPAMcEb8udohVJpsF0A9HC/25F3Ia5S4cSYLfZ9tBYdmtjj4Wyzy0yuQcrWALfRan7a9m6OiqAaBHTzg4Pxw3rjZO4nR++lgAMAT0zqyQ8sC2rvDr41rHc+sZSMWoXX32pIG/Z5vjd7PBEN0r0ivrEaJxMv8QuFuzWuzJ5zc7NA82AX5aeUoL6jGtnlRGDapHToNbgEAKMqqRHlBtd7Xbh5sfGDPEJFIiFe/6Ytz/yUh9t5N+39La7NBcpLLENDO3eLXIaQuBRkVvHpuXYYFYMgr+idYKsioQMzRdABAx0H+iI/MZh974ePu8A91R1m+hOqJkXrRVRgx6IknnkB8fDxvGbf20mOPPYZr164ZfFwqVffOOTvXzqDRtWtXhIWF6X299evX8/62t7fHihUrsGLFCr3rz5kzB3PmzDHYfl9fX2zYsMHg44SQR8/VYxk4/18SnN3VM5v4tXVr6CYRM1SVSfHf0hj2BlEzfKbHqJYYMLZtQzatTgzDoKZSjsuH0xDax0enyLQhNVVyqJQMr6e4skQKe2cbXhDkYVJZUoNbF3IRtV89dKqiWIqeo1ri8qFUxJ/LQU2lHN4tm6HX00E4+tcNeAU6Q1qlQEVxDW87PZ8KYm+KtL29YigO/R6LrDuleGJaR7bYs1AoYG+S2vT05s3M9sTUDmj3mJ/OtuydxHjq7c44uvoGgNoAE8MwqCqVQl5TG3Aqzq5C2vV05KdXAACvMG6fZ1uh77OtkHGzCEolg1Zd1cOmZDUKyKoVdRb/fhhpaq1wa2iaS8SZAerxye2RFJ0PRlV73dnMs/azEwgEeGJqB2ydG8UuO73lNsT2IoT28cXZf+/obL/z0BYI6uTJex1LCIQCDBoXwgaYuDWkbMQNM4hEIVdCpWRMnmGvsUuNK0TUvhR4BzXDiMkdGro5jUZhZiXv7+unMw0GmPYtrx2GOuTlUPQeHYzYk3fReXALdnIACi4RYzStowtpNIqLi7Fr1y64uLggMDCwoZtDCHnEleZLcHJjAnKS1Dd6lSXqAMX4Wb3RPIiyGh8WKqUKR1ZdR9r1Ir2PXz2Wgfb9/eDu66hzM1tdIUPChRy06ur1wC+SNbOT7fvlKgoy1EGH66cyEdjRA06utki5WgBHVzs8/np7XtBTIVfi9Obb7AxWA8a2Rach/tix8DLKC6rh29oFYz/vheSYAiRF58M/xBVdh5t+zq0qUwdIzmy7jaKsSkxeNOC+Bq5uXczByQ0J4M4XcvlgKi4fTOWtV5BRgaN/qQM63JtzLkPBpQmz+0BsK8KYmT3rbMtTb3fB1nlRbEFpvxA3g+u26dkcof18cCcqD2e23oZQJMDFvck6BXCj9qcgJ1n/bEu9ng4CAJ06Sbb2Nk3upp/L2gXHbcQizPhjGI79fRNJV/LhFeisU1jY3dcJry/sj2vhd3H9tDqrLfzveMiqlci6XQoAmDi3330/HrTs5ImMm/xjlkKmNLC29TEMg5P3ZraTlEmhUjAI6eOD4a+1h6iBAl3mkkuVKM2TwLslP8vsyqFUFGVVoiirEgIB0OupYFSW1ODqsQw8NqYNvAKcDWyxadMulA8Ad28Vq7PnGECpUEFarcDti7mQShQA1LPBicRCNPOwx6BxIQ+6yaQJaLpnMtKg3nzzTURHR2PlypWws7Nr6OYQQh5Rty7k4ORG/o0s184frmD46+3Rpoc37BzrnnyAPHgKuRI1lQpIq+Uoy6/mFR8F1FkAj73YBpIyKW6cyYKsRolt89QZC72eCkK/51tDIBRAqVRh549XUFFUgwv/JWPKDwOgUjG4cSYLtvY26PlkSwitlLWgjVExOLzqOtLidItMc4dlyWok+G9pDAD17FU9RrbElcNpvKFY5/9LYqdFB4DclHIc/C0WGfe2kxyTj05DWpiUgXH+vySdgsQxYRmQVSuQl1qOAWPbWCXTTyqR49jf8bwbbRs7EXxbudRZiNkcfZ9rxZtlrT6j3+2CrDslCOrsWW8GETcIdGrTLb3rcINLwV08UV0pR3AXL4T08bFadgxRB62enN4ZPUaWw8lN/7Wmi6cDBk8IgaRcymaqaYYMNQ92eSDB5scnt8f6L8/xlmlqhD0IqbGFuKU1Q97tqFwkxeRj/Fe94dni4Qm+nP33DhLO5eCJaR0R3N0DNYUi3IzIZrMFASDhXA4SOMNZ028UoXV3b4ya3qnO2c2amqTofFwNVx/b/UPc2JkN9y+/htHvdcWt8zls/TKuwQYynAgxFgWYyH2xZ8+ehm4CIeQRF3vyLiL/TeQtG/JKKJoHu+D2hRxcP6OevenUpluIO5mJgePa4vx/SfDwc8Lw19rDxlaE8qJqVJZIUV0uw6WDqWj/mB96jGrZEG/nkZJ+swgHf4s1+Hi3xwMxcHxbgFEPQwGAZh72OLOtdthL9NF0eAY4I6S3D/LTKlBRVDu06r+fYsAwDFto2dnDDu31DIsyVsL5bMSdysSoNzvByc0Oty7k4G5CCXo9HYTMhBK9waW61FTKcWFPslHrZsTzi7dKymT1FlCWVisQtuYGL8DFxc0k+m9pDF5f0B8uXg5GtceQK0fSdbI4nvtfV/iHuOOSVvbSoPEh6DDQD2nXC5GfXgG/1q6IP5cDO0cb9H2uFVy8HJAck49ja2/qvM7zH3ZHi/am1bZx83Fkh4DUp8MAP9w4o3/mt8Evh+JqeDoqi9X71dPvduHVESL3R31ZqAKhACPf7ASx3S3culBbzH3YxHb3u2kAoLcIcnF2lUmzypXmS5AUnY8OA/xg7yxG5I5EuHg5GHU+yjNQ/0spV+HcrkSMmt4Z9k6No4OlpkqOsoJq+ATrfqeFmZVs4EhT1wtwROHl+o+VKdcKkByTj9C+vtZsbqNTmi/BpQOpaP+YL8LW3GCXD5oQghsRWYg/q66rFP7PTd6wXi4PPxoGRyxDASZCCCFNRlJ0PpKv5sPd14m9YbWxE6HrsBb3hk6pL5x8gl1QUVzDDrUqyqrE/l+vAVAPxWFUDPo+1xpb5l4EONlP5/9LQrcRAfct2+VRVlUqReatYsSezGSHkekzbFI7dBzkrx5ywxl103loANz9nLB3WW0diZSrBXB2t2drNNk62EBWrVvH5258sdkBpuoKGU5uVGeybJ0bBRdvB7Y2FDew1O/51ug8tAXsncSQS5U4sSEezu72aNnJAy3auUNSJsPGr8+z69s7iVFTJYdngDPGf9kbsSfvIie5DGlxhXjyrc5IOJfNCy4JBADDABu/Po8XP+0BpUJd7ymkjw9Kcqtw/r9ktH/MF216Nse18Ay9waV2/XyRfrMINZX8IV+b5lzAa9/3h6u3AxQyJSqKa2DnrH8IXWFmJXJTyiAUCdBhgB+Ks6tg62CD9Ou6QTbN77Hvs63QqqsXSnKr0La3D4T3goahfXwR2kd9Q9imZ3Pec9v2ao681HJ17UcGiDuViS7DAhDY0cPAN2UdzYNcMOPP4fjrw9MQiYR49n9dEX0kHX5tXdF1eAA6DvSDVKIwmFFDGoZIJMSIKR0R0M4dKdcKMeSV0Af2HekbHpgUnY+eTwbV+1ylXIWk6Dyc2nwbSoUKUftSeI93GOiHsvxqpF0vRHAXL/i04gdmGIbBzbO1AVGfVi4YNqk95FIl/vspGncTShCx/Q5GTusIabWCDTQxKgbRR9MhEAIKmQpFWZXoONAfPq1cIJUojA7IclWWSCEQAk6utZ+7rEYBSZkMYWtv8IbBPj65PTxbOEOpYOAT3AxCkRCXDqTo2yyrVTcvpMbyjzNiOxHa9mqOhPM5SIsrbJIBpvKiahz8LRatu3sj+t6QYW4BfO+WzeAd2AyPvdCaDTAZCi71fCqo3g4KQupDAaYHhDE0PoM0GvQdEfLwYhgGSdG6GQ0OzcSYtngQm+XC1WV4gMFaPolX8uHT2pUXXNKIPpqONj2aw8OfevksUVUmhYOzGAKhAAKBACc2JhjMqAGAwA7uGDqxHVy9Dd/YtAh1x2vf98elAym4cykPSdH5SIrOZx9/5r0uuHb8LnsTognK3LmUh5adPNGuny+UchXSbhTi5tlsBLR3R89R6ptAuUyJwruV8G3twt4w5iSVssPaNAzNTNXr6SD2eWI7EZ56uwvv8WYe9nj716GAABDbqoM3NZVy2NgJIRILdW5GW4S64Z/PIwEAz33YDUVZVTi/Wz18bs/PtUG2ssJqJJzPQXlBNdLiCvHch91w5XAa+3inwf4YNCGErbkUE5bOZk/5tHJBXqo6+yFqfwpcvR3Y5wptBHAK5mdmSCVy7PzxMlQK9Q8nO7EUty/m8tYZ+3kvFGdXwsnNDg7Nap/v3bKZTl2VuggEAgwar64PolIxaNHO/YHNyiUUCjDtx0FQqdSF1/1Dal/XxlYEG9uHs/D6o6DdY356i7jfb54tnFGUVRtAKc2TQKlU1Ttk8tLBFMSEZRh8/L+foiGpkEFapUBMWDomLxoAJ1c7SMpluH4mE5UlUkir1LV1npjWEe361QZYhrwSiojtd5B4OY8NSHQZ2gJ3ruSxz+Fij5tCAcZ80h1+bdz0nlu1MQyD/36KYYvd93wqCClXC+DgLDZYq0wTtAfUMwJO/XEg2/HQ+5lgxJ/NhqRcBgBo95gPhk1UZx3fvVWM/cuvoduIQLTq6gU7JzGkEjkSzucg8Uo+inOi0O/51mjVrelkFl4Lv4uSXAkbXNL2zPtdAQAOzrZ4eU4f7Fhwmfd4cBdPDHm1HapKpUZPPEFIXSjAdJ+JROqLDJlMBgcHy9LLyf0lkUgAAGJx40gTJoSoZ5pSyFT19pae2107FTSgvgFUqRg8+VZngxfALTt6YsoPA6BUqAtHKxUMnnq7M7Z/fwkAdIbXaVw6kIpLB1IxflZv2NrbmNWTq60ouxKZCSXoNNjf6jenSrkKIrEQSqUKwnvBnOunM3HlSBpEXrZgnmYglykhEgkeWGZW1P4UNlBh7ySGXKaEklOTRGwnwrSfBkFsK0LB3Qo4udrpHWaij6u3AwZPCEVKbCEUnPpFg8aHwD/EHQq5CqmxhRAIgMcnd8CJDQkA1EMubMRCZN0pZQsCazKbHF1scW5XEm5GZMHJ1RZjv+iF7d9fMtgLDKgDStFH1Bf8L37a06gix2I7/ndv72z4fOTQzBYvfdELxTlVCOzggYB27ijNk/Cmlgagk/Fw6I849t/TfxkCOwf+pWDnoS1QnFOFNj28EdzFC3++dwoAkBydDxVnxi6VgkFFkh0qimrg4atuZ0WxlA0uAdAJLnUc7A+/Nq5GT1VvLKFQ8MCHotX13RCi7YlpHXFyYwIGjG2Do6tvQCpRoCSnCl4BdQdVufXJWoS6QalgeLMSluRK2H+rlAxSYwvReUgLhP9zU6e2mfaws46D/RG1P4Ut7gyAHTpeF0bFYM/PV9F5aAsMfVX/MEOGYZCTVIqCjEpE7uSfSzWF+Uvz9D1TV1WpFJcOpLBDmns80RK9ngpC2JobKCzLwdBJoWyAPLC9B95f9Tj/+WVS9t9FWVU4vPK6zjoPq+SYfL11lDTe+GkQL5DPzR4bOrEdOg9pwf5NmUvEWiwOMC1ZsgRffvklAODChQt47LHHdNYpLy/H3LlzsXv3buTm5sLX1xcvvfQS5s6dCxcX/eOmt27diuXLl+PmzZuwtbVF//79MX/+fPTu3Vvv+omJiZg9ezZOnTqFyspKhISE4O2338Z7770HoVD3glkqlWLx4sXYvHkzMjIy4O7ujmeeeQYLFiyAr6/10idtbGzg6OiIgoICiMVivW0hDYthGEgkEuTn58PNzY0NChJCGlZpngTbv78EpUKF/mPbsJkkGkqFCgqZEtFH0nnBpWc/6IaWHT2MuqHXFPR95Zt+7DIXL3uUF9YOoXr63S6QVStQkitBTFhtD+HOH64AUGd5jPtS/7nJGLIaBQ79HoeK4hpE7kzEi5/1hL8ViioDwN2EYhxYcQ3Ng11QmieBh58TpNUKFGffm1mmzA5rPlRnwbg2d8CYT3pYfZr0vNRy5KaUofOQFlAqVSjKquJl0NRU1Q7Hcvaww4RZffiZLSYUa9awdxbjqbc64+Dv6jpOz3/YnR06pQksisRCODjbIu16EZJj1FlOYWtu6BSEX/dFJHo+FYSbEeobr6oyGTbNvsBbJ7SvDx6f0gFHVl1Hxs1i9Ho6CP2ea43mLV3g7GF332Yq9G3tyvY4C0QC9H+xjU6ASZtKqX6DvZ8J1gkuAeoi1k9M7cj+/co3fbH9+0u84JJ3y2aoLKlBdYUcscczMfw19bTg1fcyCgzpM7qVcW+MkCbGK8AZE77uAwBo5mkPqaQSJzYk4OXZfSGXKVFeUA0PfyfeeevCniS2ePWYmT3gH+LGPi4pl2HdF5E6r3PhvyR4BTjrBJfGz+qt0xkiEgnx/Efdse+Xq3Bys0NpnoR3/Os8pAUy4otg7yRGr6eDkZ9WjtS4Qvb8ceNMlsEAU3JMAa8GUF2Cunii85AWcGvuCFsHG2TdLsGti7kI7OCOc7vUWZmXD6UBAJzd7WB777g16q2OOMw5lxji6GILJ1dbVJXVfXx6mKhUDM5uv4MbEboBQTtHG0glCji787NEAfW5sWUnDyjlKnQY8OAz+cijwaIAU0JCAr799ls4OTmhqkp3GkQAqKqqwtChQ3Ht2jWMHDkSr776KmJjY/HLL7/g1KlTiIyMhJMTf5jBokWLMHv2bLRs2RLvvvsuKisrsX37dgwcOBBhYWEYNmwYb/34+HgMGDAAEokEEyZMQIsWLXDkyBF88MEHiIuLw+rVq3nrq1QqvPDCCwgLC0O/fv0wduxYJCcnY926dQgPD0dUVJTVgkwCgQB+fn5ITU1Ferr+1EXSOLi5uVk1uEgIMU9RViUOr4zjBXku/JeMq2EZCO3rg1bdvNCinTt2Lb7Cq9nQYYAfHp/cweLXH/xyKJvl0XloCzYzgmEYFGZWIOMmfxhXXmo5/nj3JPo82wp9nglGcXYV3HwdjZotSqlQYdv8KLYoMADsWRqDFz7ujoD2HmAYBnEnM1FeVI3c5DL4BLug05AWRs/6E3cqEwwDdpiToeEIAFCWX40Ns85jwtd9TBqqVJcLe5LZoJx2LzYAiO1F8ApQTy8ulSgw8o2OOhfE5grq7Im3VwxVv45WVhg3iPbU251xcW8yoo+mszdXDi62CGjnzg4biTEw9ABQB3lGvtEJAPDs+914j7Xu8WCzauwcbSAQCsCoaoNISVfy4dfGFT2fDMKW7y6y6/Yyov4LoB7aM3RiO3bmLQAY/1VvZCQU4uBv15FwPgc9nwyCi6cDou7VSOHWQukwwA+dhrSArEZ9w0PIo04TJCq8W4kTG+LZwuPNPO0x4es+SLteCA8/J3ZonE8rF7QI5Q//dHSxRc8ngxATlo62vZpjyCuh+HfRZVSWSLF7STRv3dcX9oeLp/5RFM2DXPDWcvVx8nZULls8e/ys3jqB8dbdvdHzySDsWRbDnntlNQrezIoayVfzeX+7+TjilW/6Qi5V4u9Pz7LLR7/XFa268oudh/TxQUgfH/bfh/6IY4fHufuanjEsEAjg4uXQpAJMNyOydIJL3UYEom3v5rARC3HpQCr6vdBa53kCgQDPfdD9AbWSPKrMDjAplUpMmTIF3bp1Q2hoKDZv3qx3vSVLluDatWv44osvsHjxYnb5d999h/nz52PJkiWYN28euzwxMRHfffcdQkNDcenSJbi6qnvmPvzwQ/Tt2xfTp0/HrVu3YGNT2/QZM2agrKwMhw4dwujRowEACxYswNNPP401a9bg1VdfxfDhw9n1N2zYgLCwMLzyyivYunUre6Bft24d3njjDXz55ZfYsGGDuR+NDltbW4SEhEAmazoHtqZGLBZT5hIhVsKoGESHpcPF0x4X9iTDzlGM3qOD0aKdGxyc6w8eHF19gxdc0qipkiPuVCZuRGTh6Xe78IJLDs3EGDrJOjMCBXfxQv8X2yDrdgn6v9iGXS4QCPDs/7oh63YJ9i2/pvO8y4dS4exuh1ObbqFVNy+MntGVfUxdaDUblSU16Ptca7aIcUZ8MS+4pLFv+TW8v+px5CSV8gIz+ekVuH4mC12GtsCgl0MhEKjbVZonQcyxdLTr6wv/UDfIapSoKpEanL1s6MR2cHCxwdFVurNw3b6UC88WThYPl6sqlfIyvrT1eSYYfZ/TvQC2Ju3AkiHBXb149St6PRkEG1shr1CqIQPGtql3nQdFIBDAs4UT+9vo+2wr9ON8xiPf7Ijwv+PRbUSgSUMxOw70w8W9yZBKFGjZyRMCoQB+Ia4QuyghLxdh8zcX4dBMjOoKdTZaaF9fjJreCQXpFfBp5UJF8QnhcGvuwAZMuLPaVRTV8IIvGo+/rr/jpM8zwfBt44qWnTwgEgkxcFwIL2souKsXBoxtYzC4pK1dP184OKuHLBvKurR1sMHLs/tizScRkFUrsObjCHR7IhC9nw7mzUQnq64dPvz45A5stozIRohxX/ZGeWE1G0Sqi5OrHZ79Xzc2W8vc2knciR3UtfcYo7KcGytN1i1Xl2Et2BqF3OsPQh40swNMixcvRmxsLGJiYvDTTz/pXYdhGKxduxbOzs749ttveY/NmjULv/32G/7++2/MnTuXF+RRKBSYPXs2G1wCgE6dOmHy5MlYtWoVTp48iVGjRgEA7ty5g4iICAwfPpwNLgHqgMHChQtx4sQJrFmzhhdgWrNmDQDgxx9/5B1cpk2bhp9++gk7duzA77//jmbNrNODCwBCoRD29jS2lRDS9F0/k8mr+1JZImUvet18HDHyjY68i9eaSjnC1t5A5u0S+LZyRWlebU0Jr0D1sIKE8zm4dSEHOUllUCkZXh2ZQeND0HGwv1EZQ8bq+WSQ3hl+BAIBAtp7YOrigQDUM4glXslXZ7gwwKlN6sKkqbGFOPRHLAa/EgoXTwfER2azGSB2jmJ0fyIQJ9Yn4HaU+ubCxdsBE+f2w43TWWxAqTinCqV5+gtGXz+ThetnsnQybRLO5aB9f1/cupjLK1D+7P+6wT/UDTlJpWBU6uwemUwGGyclFFUiDH+9PTJuFiM5Jh+x94pg9x/TBhE77qBdP1/0Hq1/OBWgHsYRE5YBsb0ISpkKwd280GmwP8JW197oOLjYom2v5rBztMGVQ2noPKTFfQ8umUJ7WmY7RxsE1DPVfechLTBwXNtGV9D5iWkdsX/5NXQe2kLnBiq0jy9ahLqbnCUmFAkxfdkQ1FTJIbZXv1+BQAA7d3WACQAbXAKAlh09YCMWwc9KQz0JaUr6PNsKSdH5OsNx9Rk1vZPBCSVsbEW87J/W3b3QeUgL3IjIQs8ng3gdJMZq2cnTqPW6Dg9ghzrHHr8LlYLBkFdC2cdL89QjW/q90BrtH+OPDvBp5aIz211dHF1sMeOPYZDVKHlBLFP0Hh2M01vU52CGAaQShdnbamipsQXIulMKQL1/FN6tgE8r1zonwCDkQTIrwHTjxg3MmzcPc+bMQadOnQyul5iYiOzsbDz55JM6w+Ds7e0xZMgQ7Nu3D0lJSQgJUc8Ecvr0aQBgA0hcTz75JFatWoUzZ86wj9e1ft++feHm5oYzZ86wy2pqahAVFYV27dohKEj35mHUqFH49ddfcfHiRYwcObLuD4IQQpq4mko5bB1E9WYgFGVV4uSmW5BVK3gBIm2leRLs/OEKOgz0w8BxIRAIgIN/xLJDuLjFS99cOpgtpNtxoD86DvTHgRXXeFOzv/hpT/iHuFnwDs2jKZTp5GoHr4BmsHO0wYX/knnrpF0vgo1dMp6c3plXc+j87iR2ti8NpUwJkUiIbiMCkXm7BGlxhTiz9TavPpE+1eUynSwbbo84oK6X07KjBwRCAVp2rL15EAgE8B0iwejRoyEWi9E8qBnbK1peUM0GBa+FZ0BsK9QJCEmrFSjOqmSHcWgKXqdcLUDK1dqioyPf6MhODc0wDEL7+MCteeO6ELZ1sMFjY1rj4l51YNTRxRbO7vZ4bExrlOZXI+t2CSqKajBxbj8c+/smGBWD/i+2aXTBJQDw9HfGtCWDDD7OLfJqKu0bMqGd7h3ypPmPsTVSCCG63H2d8M7vw3ByYwLuRKmP38MmtWMDIAAw+OUQdBrUAiKx8R0nQpEQQye2w9CJ1snmrUvf51rxzmvXT2ciKToPI6Z2hGMzWzYLueNAf6NmmquPUCSEvZP5nUgdB/nDw88J+1dcg0KmQlWp9KENMB1eeZ39d0hvH4T0rj8TjJAHyeQrAIVCgalTp6JDhw746quv6lw3MVHdC6sJHmnTLE9MTOT929nZWW8tHO46xryGQCBA27ZtceXKFUgkEjg6OiI5ORkqlcqoNhkKMEmlUkiltUMaysvVN0ZyuRxyed03A4RoaPYV2meIuayxD0nKZQhfGw9bBxs8+U4ndugWoA4UHP/nFtr29sbjU9rXuZ2TmxKQn1bBW+bsYYfKYik8A5wQ2MED18JrC3EnnMtBwrkcvdsS24swdUl/CAS6723wxLa4fDAdGTeKMOClNvAOdmoUvyHX5vozVJOu5GPQhGpUV9bdxrZ9mrPvo/uoAKTFFSI7sZR9vNfTLdFrdBCi9qUi9nim3m0EdnTH3Xh+Ydcxn3aDd1AzKJQKQGvCM+39x9XHHuNm9cSuH2J0tn35UBo8A53QspO6UHZJThV2/RgDRqWzKk/f54PRqocn7zty9rTV256G1rqnFxtgcva0hVwuR9cR6hl2uMMpXvy8OxgGEAiZRrHvNRS5XA47t9ovsWUnD7Tu4QUnd/Ej/bkQ4z3q10EefrWBdnd/B7y+qB+2fncZNrZCtOntBRWUUMkb2YGS442fByByZzLuXFQHyaor5Dj4WyxvHRv7+/f9mrr/eAU5wdXbAUVZVSjOqYBLc/OD7TlJZTix/hYGjm+DVt286n/CfeAV6PzI/nas5VE/BpnK2M/J5ADTokWLEBsbi6ioqHqncy8rU/dEc4e6cWlmkNOsp/l38+bNTVrf2NdwdHQ0q03afvjhB17dKI1jx47B0bFx9cqSxi88PLyhm0AecpbsQ0VX7VGdqz6Wr/1IXeNAZK8CBICyWt1bmHSlANVeKTBUrkBaLEJBugMA9QpCsQqevWpg61YBVwYQCCtQiFz4PwEoJEIUXnGASsbviXRsIYdzsAySbBs4B8px5MgRw412B7wGA3fyr+DOYbPfulUxDOAcZAdJrg3c2ktRkWrLDh1a/0XtjGO2bkrISmuzXpxbyWDjqEIBEnD4cIJ6WyoA4A/RzlXexOHDN8GIANd2YtQU2kBapD6F27oqYe+jgLJFBhzL7CHJUn+fLqFSXImPBOLrbrv2/uM/EsiLdIKyWgihrYr9ro6tuw7nQDkc/OWQFtqAUamDaiI7FXwGV4FRCiAQMVDJBSi65gBbVyWyaq4j+/B1nddsrLz6iqCSCnA26mRDN+WhYOcJePashthZCZVTBZKK0pHUSH6T5OHxqF4HVefZAFDXR7oYHQmRHYPmgwRgGOD4yWMN2zhjuQNCOyeopLrZRS6h0rrP5VZiyv5TWuQEQIhjaxMQ8HRFvesbknlEfY4O/zseAU9V1rN2LWmpEJJMMVxCZBDpyQCtj0oGaK4PxCG5OHyYDrjW8Kgeg0wlkRgeocBlUoApNjYWCxYswGeffYaePXua1bCmYNasWZg5cyb7d3l5OQIDAzFq1Cg2QEVIfeRyOcLDwzFy5Mh6g7WPqsxbJci6XYpuTwQ8tKnM95Ol+1Buchn2H4nTWa6s0b1QbOXSHR0H++ssjzuZiYtRqQAAvxBXPDamFVy9HeocIiMbo0BOchnC/lJHPh6f0g5te+vvWHioPFP7T0bFYOOsi5BKFOwye2cxJn8/GAq5Cpf2pcI7qBlC+uh/3xvPXUBNpfq5j73YGl0fb8F7XKViUJorgbuvI2/4geoZFWKPZ6I4R4KB49vU+bupa/+RPqEAwzCwdxIj+nA6oo9kQCUVojzJDtWZjuxwOHtnG4yZ2R0u3lpFZMcZ/phI06DZf55/bTidw4hZHvXrIKlEgZ1J0XD3c8QzLw5u6OaYrbBLJcLXxqOCM2HFkFdD0H7A/Z2Z2Zz9Z/URzgx2nNq9plApVVh75BwA9WgZY7eTeasEh/9QDz33dPXFU+8YLjMDqM/zAgFQUSRFamwh2vbyRn5aBbKRADcfBzz3EO8zjcWjfgwylWbUVn1MCjBNmTIFbdq0wdy5c41aX5MlZCgbSNNIbjaRq6uryesb8xqawI85bdJmZ2cHOzvdtEqxWEw7JzEZ7Td8hZmVSIsrhKRMiutn1FOwxh7PxKDxIQjq7Ak3H8oS1Ka9D9VUyZEWV4j89AqkxRXCyc0OvZ8Jxu2LufAJdkFQF08c+iOOrZXk6GKL0L4+uHa8dgibQKCePvjcriSU5klw9VgmOg0KgKRchuoKOVug8+KeVPY5o97oxJv+va72tu3hgJbLvSC2Ez3UM7nUZdK8x7B+1jmoFOpeSmd3u3vfFTD01bqHHD73QXfcupCLXk8HGayZ4xOkp1CzGOj7rGmFXfUdg8SutX8/9kJbRB/JYP/WBJcA9fvw9KeOlUcZncOIpR7VfUjsKsaUH9UTRgitUKeoofi1dsfkRQOxa/EV5KWWw8PfCV2GBj6w1zdl/wnu4om060UAAJHIxqzPPT+be5MtwPb5VyCvUeCVb/rB0UX/BAoqFYMjK2tnbc24UYyUmCK066c/CFdRXIOdP1wGUDuBQuKlfHgFOgMAAjt4PpK/mfvlUT0GmcrYz8jkDCYABmdD69+/PwBgz549GDNmjN6aSVz66ieFhITgwoULyM3N1anDZGh9Q6/BMAySkpLg7+/PFhlv06YNhEKhSW0ihNxfeanl2LssBgq54YIukTsTEbkzEf1fbIPEK3lwdLHDyGkdIbYTgWEYg8V289PLcXqLuljyE9M6wr+Rz2rEMAyqSmVwcrM1KfBSmi9BcXYVWnf3xsHfa4tmA+oLFU1dhMTLebxp7wHg5Tl94eAsRnZSGRQyJZ7/sDuk1Qp4+DkhoL07Ns+5gKpSKRKv5OPUpgQwjDr4xK0f0fXxAKOCS1y29k27ELBDM1sEd/FiC147uxlf76F5kIvBaaIbwvDX2+PUplsQ24vYAJPYXoQ2PcybMpoQQsjDHVjSNmJKB5zZdhtdhz244JKphr/eAeu+UJcDiD+bhc5DA+pcXy5TIuNmEVy9HeAVoB6adpQzQyqjYlBeoJ7tVbPdgPbuGDW9ExycbZGdVIrkmHzcicoDo+IPiTu+Lh7NPOz1TlSSGlvIm5kTAIqzq1CcrZ6dT1MPkZDGyKSr+zfffFPv8oiICCQmJuL555+Ht7c3goODAaiDNP7+/jh37hyqqqp4M8nV1NQgIiIC/v7+aNu2Lbt86NChuHDhAo4dO4bJkyfzXicsLIxdR2PYsGEA1PWPtIuOX7p0CaWlpXj66afZZfb29ujbty8uXryI9PR0nZnkjh07Bjs7O/Tr18/IT4UQYq7qChlykstwZJVujRafVi7o+ngAHJvZYt/ya+zyC3s0M3VV4u/PzsLeSQyBSIBn3+8KSbkMAe3cecGm01tuoyBDPc5+z9IY9H2uFfo80+p+vi2zMQyDbfMvoSRHfQEx/ZchsHOwgaxGgbiTd+HkZo/2/X1RlFWFWxdyEHviLkT2TjicdgOZCSX1bF2/SfMeY3vcxn3ZCwyjvuB1uhcMsRGLENTVC/Fns3FyYwL7vMN/1g6tax7UDAPHUVBen+oKGftvu4d4mKdmFj8AiNyViIRzOXjm/a5WmR2IEELIw8/d1wljPmncJVQcmtWeh89su1NvgOnywVRcPabO4B01vRPa9mwOsV3ds4dm3irBnUt5qK6QIfpIOu+xUdM7oaZSjojtdwAAe36Owbgve7NZ4Uq5Cqs+OF3v+/AObFbvOoQ0FJMCTGvXrtW7fOrUqUhMTMSsWbPw2GOPscsFAgGmT5+O+fPnY/78+Vi8eDH72A8//ICSkhJ88MEHvF76adOmYenSpVi4cCFeeOEFdqjazZs3sXHjRrRp0waPP/44u35oaCiGDBmCU6dO4fDhw+w4WLlcjjlz5gAA3nrrLV573377bVy8eBFfffUVtm7dyr7+unXrkJCQgMmTJ1MtJULuk5pKOcR2IpQXVWPr3CjeYyIbIToN8ceAl9pCJKqtAzTjz+GI2peCmLB07c2x07jv/OEKu2zakkEQigTY83MM29ujcelAKuIjs1FZIkXzYBeM/bwn77UMSTifjfjIHLh42+OJKR2temOtkClx/XQWlAolG1wCgKth6fALcePNylJwtwLXT9XOIqasEeoNLnUc5I9B40OQm1IGWwcblBVIkHg5H2lxhQCAp9/tgtbd+dknAoFAbyHvwPYeiD+bbbD9g8aHNKleWGsaPCEU/y5Sp7n3GNmygVtjHYPGhWDA2Lb0nRNCCHmoaGeGy2oUerOpqytkOL4uHhnxxeyyY2tv4op/ms51JQDYO4nZ61FAnS1elMkv/u3h74SQ3j7qdggFOLP1NgBg1+IrCOrsCRcvBzi68Duiej8TDKFQgMLMSjYb2t3X0eBQPEIag/s+PuGLL77A/v37sWTJEly9ehW9evVCbGwsjhw5gu7du+OLL77grR8aGoq5c+dizpw56Nq1K8aNG4eqqips27YNcrkca9asgY0Nv9krV67EgAED8OKLL2LChAnw9/fH0aNHERcXh+nTp2P48OG89SdPnowdO3Zg+/btSE1NxbBhw5CSkoLdu3cjMDCQFwgjhFjPrQs5OLEhQe9jYz/rCT8Dw9eEQgH6PtsKHn6OOLnxFlQMA9Qx+ca6LyLR7fFA9iKgRagbnn63C9bOVBd3rCxRF6LMTytHwrkcdB7SwuC2AKC6UoaTG28BAHJTynAnKg8j3+yI0D6+UCpUEAoFFgWcbkfl4vx/STrLo4+mA0f5QTVucMmQDgP9MPjlENiIRQjsoE6j9gl2QWgfX95068YKaO8OeycxhCIBJnzdB1EHUpBwLgcA4OhqC982hmvWPeq8WzbD+6ser3/FhwwFlwghhDzsirOr4Nta9xoman8KL7jEXV/by3P6wsPfCSqFCll3SnXKFDQPdoHYToTn/teNXdZpsD8bYAKA9BtFetvXups3vFs2Q1G2OsAkEgvx4mc9KXuYNGr3PcDk5OSE06dPY968edi1axdOnz4NX19ffPLJJ/juu+94w+Y0Zs+ejeDgYCxfvhwrV66Era0tBgwYgPnz56NPnz4663fs2BGXLl3C7NmzceTIEVRWVqJt27ZYsWIF3n//fZ31RSIR9u3bh8WLF2PTpk345Zdf4O7ujqlTp2LBggU6tZ8IIZbLTy83HFz6vBf86glSiMRCtHvMD75t3CCyEUAhUyHu5F10H9kSh1deR1FWJWzsRFBI1fVhYk+qC1bbO4sx8s1OsHMUY+QbHRH+D3/O9tgTd+Hp7wS/tm7ITirFnqUxCOrsiadndGEzm3KSdCcFCP87HuF/q7fVPNgFz33QjTdjV1mBBKmxheg40L/OGdUAoCTPuGk/uRyaidH7mSDcyb4GSbwXKgpr0P/FNmjT0xuu3oYLoZtTUNveSYyJc/tBIBTA3kmMx1/vgMdf72DydgghhBBCGtKo6Z1wbK264Pbti7lgGOhcg6pUdfRi3jN18UBIymXwClAX3hbainQ63Dz8nTD+q946zxUIBHjpi17YvSRa77bb9PBGaF9feLdUD4Xz9HfGS1/0grO7PRycKXuJNG4ChmHq/wWROpWXl7Oz39HQOmIsuVzODutsyjMXMCoGETvu4Ma9GeG4nNzsMGZmD7g1t2xmOJVSBQYAo2Sw4evzqKmsTVMe80kPtGjnrm4LwyA3uQyeAc7IvlOKQ5w6QtpcvOxRXljDW9a+vy96j26Fzd9c0Fl/wEtteUOgDq+MQ2psIeycbPDs+91QkiuBf4irTvBHLlNi3y9X2d4un1YuGDOzB/6eeZZX9PzlOX1x6UAKUmPVQ9zGfdUbHi0cHol9iNwfj8oxiNwftP8QS9E+RCxhyf6z/9eruHuvvICNWIh3fhvGezz8n5u4cykP7fr5IqCDO06s53eQTvi6Dxv80VZTJUdMWDrEdiJ0GOAPZ3fDE3xUlUoR/s9NOLjYIulKPgD1ELiJcx8z+BxiPXQMMo2xMY+mPYUPIaTBSKsVOP7PTXY6WEDdQzTyzU6QlMlw42wW+j7bCs08TJt5TB+hpoaSCHj9+/64cjgNV8Mz0H1kSza4BKh7jDTD8PzausLO0QZSiULvNrWDSwDQZVgAXL0d8M5vQ/HXB2e01q9m/50Unc8GgqRVCl4P1RtLB7G9TxE77vCGvHUc5I9+z7eGjViEN5YOxuqPal/Dw98Jo2d0xaUDKagqk6F5y2ZQKPW3nRBCCCGE6Ofm68QGmBRyFWqq5Ci8W4HYk5kQ24mQl6rOXA/s6IHQvj6QVStwbncS/Nu6YeQbneqsgWTvJMaAsW0NPs6l7mhVF0Zv3jIDF/YmY+SbnSx8d4Q0LAowEdKEZCeVwtHF1uKMIEtdPpSKSwdSectatHPHs+93hY2tCM087NkZM6zN1sEGA15qi55PBsHe2XBvhJ2jGC983APXjmfgzqU8AOqspafe6YJ/F17mrevm44hn3u/Kfq42YhGm/jgQkgoZEiKzcf1MFoqy1MUcU64WIGzNDRhSlFWFgHa2yEsr5wWX2j/mi+GvtWf/5s5S4tPKha150/e51rUbU9b3aRBCCCGEEC4PX/518t+fntVZRygSwKeVCwQCAboOD0TX4YH3tU09RrVEj1FNYzIQ8mijABMhTUDC+RzeFPIA0OeZYPR5tpVZNXcskXm7RCe4FNDeHS983OOBtqOu4JKGd8tmGPlGJwx/vT3y08rh19YNAoG6kHXsybt47IXWcHbXn2Hl5GYHJzc7YJA/rp/JQk5SGQ78FouMm/oLNWrs++Uq+r3QWqdIcs+ngnTWfeb9rrh+OgvDX2tX73shhBBCCCH1a+bpUO867Qf4NXiHLSEPIwowEdLAyguq4eFrY/KMEMlX83F2RyKqSqV6H798KA1te/vAw0+3kL61ScplSIrOx9kdd3jLX/v+sToLTjcWNmIR/ENqh9J5t2yGJ6Z2NOq53DRp7eCSf4gbshNLdZ4TtS+F9/fT73aBu6/u9xTcxQvBXbyMagchhBBCCKlf8yD99ZO4ej2p2/FHCKkfBZgIaQCVJVLkpZWiKMYe249cAQD0e74Vej0dXGfGEcMwKMiowM2ILMTfmyaeSygSQKWsrdt/6UAKnnq7i8Ht3Y7KRXxkNrITS/HkW53Rpoc3G+gqzKzAyY23UJBRAQBwdrdDtxGB6P5EbfpudmIprp/JRMrVAt7rAsDEuf0eiuCSpRwMZEoNf7092vXzRX56BUrzqlCUVYXYE3d11ps4t5/e4BIhhBBCCLE+h2a6NZTsHG3w7P+6oapUioD27rBzpKLPhJiDAkyE3GdKuQq3o3Lh7usIr8BmKMiowL7lV+8FZGpPXlH7U5EaW4hxX/XmBZnSbxZBKVNBIAQOr7yus/2gzp7owSlmzTAM/vksEjVVciTHFOCPd08CUM9C5u7niMriGji52aGyWIrj6+LZ7YStuYG+z7VCSB8fXNyTjOSrBbzXqSyR4tyuJJzblQQnNzsMGh9isNZQ79HBj0zQRCgSok0Pb/bz8mzhjPb9fdFhgJ+6qHgbV/i1ccXVYxk6z+0yLOCR+ZwIIYQQQhqLfs+3RsyxdAx9tR1uXcjBgLFtDc4MRwgxHgWYCLnPrhxJw5XDaUatm59egYqiGrh4qceGF9ytwMHfYnXWc/NxVAeDevvoPCYQCPD8x911ClWf350IgVCAjJvFAAAXb93x55cO6Bbn1qeqVMoLLnkFOmPMJz0e2d4ezwBnNsA07LV28G3lqrNOQHt1ADC4qxdGz1BnlT3o+liEEEIIIUTdGdrzqSAIhQK06+fb0M0hpMmgABMhFlDKVYAAEAjUmSwAIJcpcS08AynXClCWXw25VP9UXx0G+SIjPQMTPhoGSakCOxZcAgAUZVchNa4QTq52yLxdovO8p9/tgtbdvetsl3dgM0z5YQA2zDrPLtNMx6pRXlANAHjx055IiyvE1XDdDBsPfyc8/noH2Dvb4G58Ma4ev8s+T2PElA4I6eMDkY2wzjY1ZT7BLnr/zeXdUv2dOLjYUmCJEEIIIaSBaU+4QgixHAWYCDGTrEaBdV+eg0KqhJuPI8Z+3hMOzrbYNi8KFUU1OusHtHdHQHt3uHg6wN5JDN+QZjh8OBFiOxG8AuwR0scHiZfzcPjPOJ3nBnf1gkgkQPsBfkYXfXZ2t4dXoDNKcyUQ24tQXSHXWaeZpz38Q9xg7yRmA0xCkQBPTOsIhmEQ3MULtvbqw4TrUEd0HhqAiuIabPy6NnDVuof3Ix1cAoDAjh54fHIHeAU41xk8MjQjHSGEEEIIIYQ87CjARIiRlHIVROLaQMqVw2lQ3MtOKs2TIGz1DTw+uYPe4BIAPPNeV9jYiti/5XJ+wMcn2AWJl/N0nufQTIyhr4aaFZx46fNeUMhVSL9eiOPrE3Qeb9uzOQB1ptLgl0NQXlCDvs+3YoNK+jTzsMfT73RBXno5uj8RWOe6jwqBQIAOA/wauhmEEEIIIYQQ0mDozpAQI8SevItzOxPR88kgPDamDe7eKmYzflybO6C8sAZZd0pxesst9jlDXglFxPY7ENuL8OLMnrzgkj6dhvjj1sUcFN6tBADYO4vh4uWAsZ/3hEhkXoaQja0INrYiBHTwgMhGCKVChSemdYRfG1ekxhaiw8DaoEjX4YFGb7d1D2+07lH3MD1CCCGEEEIIIY8OCjARUgeVUoX1X51jh5dFH01H9NF09vF2j/niiakdsWvxFeSllrN1jp58qzPa9mqOLsMCwKgYCIwY420jFmHCrD6QShQQ2gismhnk5GqH1xf0h42tkC3E3W2E8QElQgghhBBCCCGkLhRgIkQPlYpBQUYFSvMkemsXaQwY2xYAkJdazi4T24nQunttnSRjgkvcde2d789MbE5udvdlu4QQQgghhBBCCAWYCAFQlFWJywdTIRAK0KKdO85sva2zzuCXQ3F2xx32b7+2rnB0sQUAuPs6oiRXAkBdkFto5pA2QgghhBBCCCHkYUR3weSRV1UmxfbvLyH5agGSovP1BpcmfN0HoX184OyhzgIK7uqFJ6d3Zh9/4eMeAICQPj4YNqndg2k4IYQQQgghhBDSSFAGE3nkXbtXrNuQvs+1gnfLZgCAKYsG6l3Hyc0O76963OptI4QQQgghhBBCHgYUYCKPrPz0cuxZGgOFXAVAXbD7zqU8MCoGg8aHIKiLJ/JSyhDa17eBW0oIIYQQQgghhDRuFGAijySlXIWdP1zhLRsxpQMGjmuLvNRyBHX2hEAggFtzxwZqISGEEEIIIYQQ8vCgABMBADAqBncu5UIkFsHD3wkefk4N3aT76sSGeN7fT73TGQKBAA7Otgju4mXgWYQQQgghhBBCCNGHAkwEAJARX4zj6xPYv8d91Rs+wS4N2CLzlRVUIy+1DFmJpci6VYJn3u8Kd9/agJmkXIbEK/ns3+/9ORwCoaAhmkoIIYQQQgghhDQJNIscgVyqxFWtQte7frwCqUTeQC0yX/rNImz+5gLC/4lH/NlslBVU48KeZACAQqaESqlCUWYlu/57Kym4RAghhBBCCCGEWIoymAjKCqqRdbtEZ3l5YQ28W4oboEXGU8pVqCiuAQBsX3AJynsFu7lSYwvx10dnoJAqAQDDJrUDAAR29IBAQMElQgghhBBCCCHEUhRgInD30V/IWlIue8AtMQ2jYrDqg9MGHx/zSQ/s/eUqALDBJQA4veU2AKCZh/19bR8hhBBCCCGEEPKooCFyBCJx7W7g2YJbq0hq0XYrimtwfncSbl3MsWg7hhRlV+ld3u/51pjx53C0aOeOoa+GGnx+6x7e96VdhBBCCCGEEELIo4YCTAQA0OupINjYCjHyjU4I6eMDAKgqMz2DSalQobJECqVShYv7knE1PAMn1iegKKuy/icbiWEYlOZLkH6jUOex1xf0R+/RwRDeq6vUeWgA/EPcAABPvd2Z/feg8SEI6uRptTYRQgghhBBCCCGPMpMCTFlZWVi+fDlGjRqFli1bwtbWFr6+vnjppZcQFRWl9znl5eWYOXMmgoKCYGdnh6CgIMycORPl5eUGX2fr1q3o27cvnJyc4O7ujtGjR+PKlSsG109MTMSECRPg7e0NBwcHdO3aFb///jtUKt16PAAglUoxf/58hIaGwt7eHn5+fpg+fTpyc3NN+TialMfGtMH0ZUPg2cKZzWLKSSrD1WMZKM2TGL2diG23sWHWOax6/zTuROWxywszrRNgyrpTgkN/xGHLtxdxcW8KAKD9AD/4tXXF5EUD4OLloPOcJ9/qjLGf9USbns0x+r2umDi3H7qNCLRKewghhBBCCCGEEGJiDabffvsNixcvRps2bTBy5Eg0b94ciYmJ2Lt3L/bu3Ytt27ZhwoQJ7PpVVVUYOnQorl27hpEjR+LVV19FbGwsfvnlF5w6dQqRkZFwcnLivcaiRYswe/ZstGzZEu+++y4qKyuxfft2DBw4EGFhYRg2bBhv/fj4eAwYMAASiQQTJkxAixYtcOTIEXzwwQeIi4vD6tWreeurVCq88MILCAsLQ79+/TB27FgkJydj3bp1CA8PR1RUFHx9fU38GJsGkY063ujXxg0AkHGzCBk3i5CTXIrRM7oCAGTVCojtRHpnXsu8XYL4c/qHwxXerUC7fpZ9rqlxhTj8Z5zO8sdeaA0nVzuDz3N0sYWjiy0AwM7BBnYOVHqMEEIIIYQQQgixJpPutPv27YuIiAgMHjyYt/zs2bMYMWIEZsyYgRdeeAF2duqb/SVLluDatWv44osvsHjxYnb97777DvPnz8eSJUswb948dnliYiK+++47hIaG4tKlS3B1dQUAfPjhh+jbty+mT5+OW7duwcamttkzZsxAWVkZDh06hNGjRwMAFixYgKeffhpr1qzBq6++iuHDh7Prb9iwAWFhYXjllVewdetWdhaxdevW4Y033sCXX36JDRs2mPKxNDnNg5tBKBJApWQAqGdhA9Q1lbZ+dxFBXTzx1NtdeM8pya3CvnsFtQHA0dUWQ14JRXWFHGe23saNs9noPrJlnYGg+kQfSdO73JJtEkIIIYQQQgghxHImDZEbO3asTnAJAAYPHozhw4ejuLgY169fB6Cuk7N27Vo4Ozvj22+/5a0/a9YsuLu74++//wbDMOzydevWQaFQYPbs2WxwCQA6deqEyZMnIzk5GSdPnmSX37lzBxERERg+fDgbXAIAsViMhQsXAgDWrFnDe23N3z/++CNvivpp06ahQ4cO2LFjByoqKkz5WJocG7EIzu78oE36jSLcjMiCQq5CckwB7zFZjQIp1/jLpiwagDY9mqPTYH/4tHKBQqpEzNF0necplfqHMWpv+493TyIvlT+s0q+NK6YtGWTq2yOEEEIIIYQQQoiVWa3It1gsBgA2uygxMRHZ2dkYOHCgzjA4e3t7DBkyBFlZWUhKSmKXnz59GgAwatQone0/+eSTAIAzZ84YtX7fvn3h5ubGW7+mpgZRUVFo164dgoKCdJ4zatQoSKVSXLx40Zi33KS5+/K/s4O/xyLuVCb7t1ymBAAkRedjzccRbD0kAOg2IhBCkXrXEggEbL2juFOZiD1xF1m3SxB36i7WzjyLfxdeBqNioM+NiCys+TgCR1ZdZ5f5h7jh6Xe7YPSMLhj7eS926BshhBBCCCGEEEIajlWK0WRkZOD48ePw9fVFly7qoVOJiYkAgJCQEL3P0SxPTEzk/dvZ2VlvDSTuOhp1vYZAIEDbtm1x5coVSCQSODo6Ijk5GSqVyqg2jRw50uD7lUqlkEql7N+aguVyuRxyudzg8x4mXoFOSL9RxFsmlyrZf6/+8Awmzu+LsDU3eOtMnN8Xzu52vM/BM8CR/XfkzkTe+sXZVcjLKGMLi2tIJeqhddr6Ph+E5sEu6vY85J+1pv0P+/sgDYf2IWIJ2n+IJWj/IZaifYhYgvYfYinah0xj7OdkcYBJLpfj9ddfh1QqxZIlSyASiQAAZWVlAMAb6sbl4uLCW0/z7+bNm5u0vrGv4ejoaFab9Pnhhx94taM0jh07BkdHRz3PePgoawQQiJ0gslNBUSnSu87Wby/pLIu4cELvuu5dbVASpzvDGwDs/jEG3o9JYOeuDmBVpotRGm+vs57/yApciY8E4o19Fw+H8PDwhm4CecjRPkQsQfsPsQTtP8RStA8RS9D+QyxF+5BxJBLjZpa3KMCkUqnwxhtvICIiAm+99RZef/11Szb30Jg1axZmzpzJ/l1eXo7AwECMGjWKDVI1BbKnFRDZCLFzUTTKC2sAAEIbAVQK3SFtHv6OeP7jbrA1MEObQqbEP5+eN/haPvZtMWB0GwDA7sUxAKoAAM4edhCKBGg/wBfdnwi08B01LnK5HOHh4Rg5ciQ7xJQQU9A+RCxB+w+xBO0/xFK0DxFL0P5DLEX7kGk0o7bqY3aAiWEYvPXWW9i8eTNee+01rFq1ive4JkvIUDaQpoHcbCJXV1eT1zfmNTRBH3PapI+dnR07Ux6XWCxuUjun5r04NLNlA0w9RwUhO7EU2Yml7HodBvrh8dc71LutUW92QsbNIgx+JRS29jZgVAxObb6FhPM5uHE6G65ejuj+REtUFquHH/Z5Jhg9ngyC2FZ/BlVT0dT2G/Lg0T5ELEH7D7EE7T/EUrQPEUvQ/kMsRfuQcYz9jMwq8q1SqfDmm2/in3/+wauvvor169dDKORvSl/NJC599ZNCQkJQWVmJ3Nxco9c39BoMwyApKQn+/v5skfE2bdpAKBSa1CaiDjBpOLna4ul3u2Dwy7WfUechLYzaTkgfH4yY2hG29uq4pkAowNBJ7djHz+1KwtqZEZBKFACA7iNbNvngEiGEEEIIIYQQ0hSYHGBSqVSYPn061q1bh5dffhmbNm1i6y5xhYSEwN/fH+fOnUNVVRXvsZqaGkRERMDf3x9t27Zllw8dOhSAupaRtrCwMN46ADBs2DCD61+6dAmlpaW89e3t7dG3b1/cvn0b6enpOs85duwY7Ozs0K9fv7o+gkeOY7PaaKWtgw3sncToOjwQQ14JxbBJ7dA8yPxhgSKREM9/3J39WxNccmgmZgNRhBBCCCGEEEIIadxMCjBpMpfWrVuH8ePHY/PmzXqDS4B6Frfp06ejsrIS8+fP5z32ww8/oKSkBNOnT4dAIGCXT5s2DTY2Nli4cCFvGNvNmzexceNGtGnTBo8//ji7PDQ0FEOGDMGpU6dw+PBhdrlcLsecOXMAAG+99Rbvtd9++20AwFdffQWGqa0ltG7dOiQkJODll19uUnWUrMHZo7bgNjfo02VYADoNNi57qS6B7T0w9rOevGUB7dwt3i4hhBBCCCGEEEIeDJNSRObPn4/169fD2dkZoaGhWLBggc46Y8aMQffu3QEAX3zxBfbv348lS5bg6tWr6NWrF2JjY3HkyBF0794dX3zxBe+5oaGhmDt3LubMmYOuXbti3LhxqKqqwrZt2yCXy7FmzRrY2PCbvHLlSgwYMAAvvvgiJkyYAH9/fxw9ehRxcXGYPn06hg8fzlt/8uTJ2LFjB7Zv347U1FQMGzYMKSkp2L17NwIDA7F48WJTPpJHQkB7D1w5lAYIAI8WTvflNXzbuMK7ZTMUZFQAANr01D+bICGEEEIIIYQQQhofkwJMaWlpAIDKykosXLhQ7zrBwcFsgMnJyQmnT5/GvHnzsGvXLpw+fRq+vr745JNP8N1337G1kbhmz56N4OBgLF++HCtXroStrS0GDBiA+fPno0+fPjrrd+zYEZcuXcLs2bNx5MgRVFZWom3btlixYgXef/99nfVFIhH27duHxYsXY9OmTfjll1/g7u6OqVOnYsGCBfD19TXlI3kk+LVxxbQlg6BSMXB0sa3/CWYQCAR46cteUCkYiMRCCIWC+p9ECCGEEEIIIYSQRsGkANP69euxfv16k17A1dUVy5Ytw7Jly4x+zqRJkzBp0iSj1w8NDcXOnTuNXt/Ozg7ffvstvv32W6Of86izd77/lfVFIiEMjLgkhBBCCCGEEEJII0ZVlK1AU8upvLy8gVtCHiZyuRwSiQTl5eU0NSYxC+1DxBK0/xBL0P5DLEX7ELEE7T/EUrQPmUYT6+DWsdaHAkxWUFGhrhsUGBjYwC0hhBBCCCGEEEIIsb6Kigq4uroafFzA1BeCIvVSqVTIzs5Gs2bNeLPiWUOfPn1w+fJlq26TNA7l5eUIDAzE3bt3aeZCE9BvohbtQ0TDnN8F7T/EEg/D/kPni8btYdiHmpqm9Jug/YdYSrMPtW3bFtHR0Q3dnEaPYRhUVFTA398fQqHQ4HqUwWQFQqEQAQEB92XbIpGIDppNnIuLC33HJqDfhC7ah4glvwvaf4glGvP+Q+eLh0Nj3oeamqb4m6D9h1iqKf4u7pe6Mpc0DIeeSKOgbyY8Qh5l9JsgRBf9LgjRRb8LQvjoN0GIrrfeequhm9CkUIDJiiIiIvDcc8/B398fAoEAe/fuNXkb//77L7p37w5HR0cEBQVBIpFYv6GEPMTo4ogQXfS7IEQX/S4I4aPfBCG6KMBkXRRgsqKqqip069YNv//+u1nPP3LkCCZNmoR3330XN27cwJ9//olly5aZvT3SuNnZ2eG7776DnZ1dQzeFPKRoHyKWoP2HWIL2H2Ip2oeIJWj/IZaifej+oCLf94lAIMCePXswZswYdplMJsOcOXOwZcsWlJaWonPnzli8eDGGDRsGAJg4cSLkcjl27tzJPmf58uX4+eefkZGRYfUC4oQQQgghhBBCCCHWQBlMD9C0adNw7tw5bN++HXFxcRg/fjyeeuopJCYmAgCkUins7e15z3FwcEBmZibS09MbosmEEEIIIYQQQggh9aIA0wOSnJyMbdu2YefOnRg8eDDatGmDzz77DIMGDcK6desAAE8++ST+++8/nDhxAiqVCnfu3MHy5csBADk5OQ3YekIIIYQQQgghhBDDbBq6AY+KmJgYMAyD0NBQ3nKpVApPT08A6gJjycnJePbZZyGXy+Hi4oKPPvoIc+fOhUgkaohmE0IIIYQQQgghhNSLAkwPiEqlgkgkQnR0tE6wyNnZGYC6btPixYuxaNEi5ObmwtvbGydOnAAABAcHP+gmE0IIIYQQQgghhBiFAkwPSI8ePaBUKpGfn4/BgwfXua5IJEKLFi0AANu2bUP//v3RvHnzB9FMQgghhBBCCCGEEJNRgMmKKisrkZSUxP6dmpqKa9euwcPDA6GhoZg0aRImT56Mn3/+GT169EBhYSFOnjyJLl26YPTo0SgsLMSuXbswbNgw1NTUYN26ddi5cyfOnDnTgO+KEEIIIYQQQgghpG4ChmGYhm5EU3H69GkMHz5cZ/mUKVOwfv16yOVyLFiwABs3bkRWVhY8PT3Rv39/zJs3D126dEFhYSGee+45XL9+HQzDoH///li4cCH69evXAO+GEEIIIYQQQgghxDgUYCKEEEIIIYQQQgghFhE2dAMIIYQQQgghhBBCyMONAkyEEEIIIYQQQgghxCJU5NsKVCoVsrOz0axZMwgEgoZuDiGEEEIIIYQQQohVMAyDiooK+Pv7Qyg0nKdEASYryM7ORmBgYEM3gxBCCCGEEEIIIeS+uHv3LgICAgw+TgEmK2jWrBkA9Yft4uLSwK0hDwu5XI5jx45h1KhREIvFDd0c8hCifYhYgvYfYgnaf4ilaB8ilqD9h1iK9iHTlJeXIzAwkI19GEIBJivQDItzcXGhABMxmlwuh6OjI1xcXOigRsxC+1DTpVQokBJzCQEdOsOh2f05r9D+QyxB+w+xFO1DxBK0/xBL0T5knvpKAlGAiRBCCGlkovbswIVd2+DhH4Bpv6xq6OYQQgghhBBSL5pFjhBCCGlkbp8/CwAozs5s4JYQQgghhBBiHAowEUIIIY2MoI7ZOQghhBBCCGmMaIgcIYQQQgghhBBCHiiGYaBQKKBUKh/4a8vlctjY2KCmpqZBXr+xEYlEsLGxqbfGUn0owEQIIYQ0Mpae3AkhhBBCGjOZTIacnBxIJJIGeX2GYeDr64u7d+/Sddc9jo6O8PPzg62trdnboAATIYQQ0tjQhQ4hhBBCmiiVSoXU1FSIRCL4+/vD1tb2gQd5VCoVKisr4ezsDOEjXpqAYRjIZDIUFBQgNTUVISEhZn8mFGAihBBCGhnqSSOEEEJIUyWTyaBSqRAYGAhHR8cGaYNKpYJMJoO9vf0jH2ACAAcHB4jFYqSnp7OfiznokySEEEIaGwowEUIIIaSJo8BO42KN74O+UUIIIaSREYACTIQQQggh5OFCASZCCCGksaH4EiGEEEIIechQgIkQQghpZAQCOj0TQgghhDQ1AoEAe/fubehm3Dd0BUsIIYQ0MlSCiRBCCCGEPGwowEQIIYQ0NhRhIoQQQgghDxkKMBFCCCGNDBX5JoQQQsijhGEYyGtqHux/UvX/GYYxqo1//fUXWrRoAZVKxVv+/PPPY8qUKQCAlStXok2bNrC1tUW7du2wadMmg9s7ffo0BAIBSktL2WXXrl2DQCBAWloaAGD9+vVwc3PDwYMH0a5dOzg6OmLcuHGoqqrChg0bEBwcDHd3d3zwwQdQKpXsdmQyGb744gu0aNECTk5O6NevH06fPm3cl2EBm/v+CoQQQggxjZACTIQQQgh5dCikUqyYMq5BXvvDDbsgtrevd73x48fjww8/xKlTpzBixAgAQElJCcLCwnDgwAHs2bMHH330EZYvX44nnngCBw8exLRp0xAQEIDhw4eb3T6JRIIVK1Zg+/btqKiowNixYzF27Fi4ubnh8OHDSElJwUsvvYRBgwbh5ZdfBgBMmzYNaWlp2L59O/z9/bFnzx489dRTuH79OkJCQsxuS30owEQIIYQ0MlTkmxBCCCGkcfHw8MBTTz2FrVu3sgGmnTt3wsPDAyNGjMCQIUMwdepUvPfeewCAmTNn4uLFi1i6dKlFASa5XM5mRgHAuHHjsGnTJuTl5cHZ2RkdO3bE8OHDcerUKbz88stITk7Gtm3bkJmZCX9/fwDAZ599hqNHj2LdunVYtGiRhZ+EYRRgIoQQQhoZKsFECCGEkEeJjZ0dPtyw64G9nkqlQnlFOVyaucDGzs7o502aNAlvv/02/vzzT9jZ2WHLli145ZVXIBKJkJCQgLfffpu3/sCBA/Hrr79a1FZHR0c2uAQAPj4+CA4OhrOzM29Zfn4+ACAmJgYMwyA0NJS3HalUCk9PT4vaUh8KMBFCCCGNDkWYCCGEEPLoEAgERg1TsxaVSgWxTAaxvT0EJvTsPffcc1CpVDh06BD69OmDs2fPYtmyZezj2ttiGMbg9oVCIbuOhlwu11lPLBbz/hYIBHqXaWpDqVQqiEQiREdHQyQS8dbjBqXuBwowEUIIIY2MgGowEUIIIYQ0Og4ODhg7diy2bNmCpKQkhIaGolevXgCADh06IDIyEpMnT2bXP3/+PDp06KB3W97e3gCAnJwcuLu7A1AX+bZUjx49oFQqkZ+fj8GDB1u8PVNQgIkQQghpZGgWOUIIIYSQxmnSpEl47rnncPPmTbz22mvs8s8//xwTJkxAz549MWLECBw4cAD//fcfjh8/rnc7bdu2RWBgIObOnYsFCxYgMTERP//8s8XtCw0NxaRJkzB58mT8/PPP6NGjBwoLC3Hy5El06dIFo0ePtvg1DKEqooQQQkhjQ0WYCCGEEEIapccffxweHh64ffs2Jk6cyC4fM2YMfv31V/z000/o1KkT/vrrL6xbtw7Dhg3Tux2xWIxt27bh1q1b6NatGxYvXowFCxZYpY3r1q3D5MmT8emnn6Jdu3Z4/vnnERUVhcDAQKts3xDKYCKEEEIaGYovEUIIIYQ0TiKRCNnZ2XofmzFjBmbMmGHwudx6S4C6CHhcXJzBdaZOnYqpU6fyHp87dy7mzp3LW7Z+/Xre32KxGPPmzcO8efMMtuV+oAwmQgghpNGhCBMhhBBCCHm4UICJEEIIaWQEQjo9E0IIIYSQhwtdwRJCCCGEEEIIIYQQi1CAiRBCCGlkBFSEiRBCCCGEPGQowEQIIYQ0NhRgIoQQQkgTp13wmjQsa3wfFGAihBBCGhnKYCKEEEJIUyUWiwEAEomkgVtCuDTfh+b7MYeNtRpDCCGEEOugABMhhBBCmiqRSAQ3Nzfk5+cDABwdHR/4tY9KpYJMJkNNTQ2Ej/jkKgzDQCKRID8/H25ubhCJRGZv65ENMG3evBlnz55FdHQ0rl+/DplMhnXr1mHq1KkN3TRCCCGEEEIIIaTJ8vX1BQA2yPSgMQyD6upqODg4UMfePW5ubuz3Yq5HNsA0Z84cpKenw8vLC35+fkhPT2/oJhFCCCFqdKFDCCGEkCZMIBDAz88PzZs3h1wuf+CvL5fLERERgSFDhlg0JKypEIvFFmUuaTyyAaa1a9ciJCQEQUFB+PHHHzFr1qyGbhIhhBACABAIHu1UbUIIIYQ8GkQikVUCG+a8rkKhgL29PQWYrOiRDTA98cQTDd0EQgghRC9KYCKEEEIIIQ8b6iIlhBBCGh2KMBFCCCGEkIfLI5vBZAmpVAqpVMr+XV5eDkA9jrMhxo+Sh5NmX6F9hpiL9qGmiwHD/vt+fb+0/xBL0P5DLEX7ELEE7T/EUrQPmcbYz4kCTGb44YcfMG/ePJ3lx44dg6OjYwO0iDzMwsPDG7oJ5D6oyr6LssR4NO8zCDaOTvf1tWgfanpyc/PYfx8+fPi+vhbtP8QStP8QS9E+RCxB+w+xFO1DxpFIJEatRwEmM8yaNQszZ85k/y4vL0dgYCBGjRoFFxeXBmwZeZjI5XKEh4dj5MiRVFiuCVrx2osAAKFvMkZ/8tV9eQ3ah5quw0k3kXQ3FQAwevTo+/IatP8QS9D+QyxF+xCxBO0/xFKm7EOnN6xBVWkxRn/4BQSPaKFMzait+lCAyQx2dnaws7PTWS4Wi+kAR0xG+03TJikrue/f74Peh2oqK2Hv7GzRNlRKJRIvnYd/uw5o5uFlpZY1HULObCpNbf8hTQvtP8RStA8RSzTk/iOVSHDsrxVoP2AIQvoNaJA2EMsZsw/FhauzyctysuAd1OpBNKvRMfZ3RkW+CSHkfmKY+td5iMQc2Y8/3nwF0Yf2WbSda8cO4+DyxVg/c4aVWta0PJp9Y4QQQsjD49Lef3HnYiT2L1vU0E0h9xGjUtX+u4ld198PFGAihBBitFPrVwMATm9cY9F20mKjAQCy6mqL29QUCYR0eiaEEEIas6qy0oZuAnkAVCol+28hXZ/Viz4hQgghD1xTDqCUF+bzersIIYQQ0vRQsOHRoFLUBpgEQlEdaxLgEa7BtHbtWkRGRgIArl+/zi47ffo0AGDMmDEYM2ZMA7WOEEKaNoGgaV6U3Yk6hwPLfkC7AUPw7EdfmL2dR7WAJCGEkKZHqZDjzKZ/ENytJ1r37NPQzbGaptxZ1lRcP3kMN06F44XP58DRxdWsbXAzmOg7r98j+wlFRkZiw4YN2LBhA2JiYgAA586dY5ddu3atYRtICCFWxDAMZNXGTS/6IFir108qqcKJf1Yh+84tq2zPUpf27gIA3D4fYdmGKMBECCGkiYg7EYarRw9gz+J5Dd0Uq2oM2SwMw0CpUJj0nCN/LMOxv1bcpxY1Lsf+WoHsOwm4sGur2dvgfr4CIV2f1eeRDTCtX78eDMMY/G/u3LkN3URCCLGaE3//id+mTkDW7YSGbgoA6/UARW7fiGthB7Htm8+ssj1LiWx0E4PLC/Ihl0lN2g738oUKShJCCHmYVRYXNXQT7ovGMERu39IFWPXuZEglxnUiVhYXIT7iJK6fPAZZzaNTB9OSmp/csgcCmoalXg3/qyCEEHLfxYYfAQCLenCsyVpDwIqzs6yyHWsRaU3hWpCeijX/ewMbPn3PpO3wAnAUYCKEEPIQawyBmPuhMQxnT74ShZqKciRHRxm1Pne4FzEON4OJYVSoLC7CwV+XIOtWfAO2qvFqmr92QghpJCyNDUglVbh7M67JFY22VgZTY7to1Q4w3Yk6DwAoy88zcUu1F62UwUQIIeRh1lTq1kglEsQc2Y+K4kIAgEDU8EPkNIz+jOmSwmQMJyjHMMDxv//E7fMR2P6d+bU2m7Km8WsnhJAmats3n+Pf+V8j7kRYQzfFqqwWYGpEF3cAILLhB5iEIjPfJ6dTlGGaVnCREELIo6WpBJhOrf8Lp9avxvZvvwTQuDq5zGoLdWAZRangBphUKDe50/DR0nh+FYQQQnQUZWYAABIiTzdsQ6zMWmnljaHAJpd2DSahme3jfj6Mii4ACSHEGuTSGiRHR0EurWnopjxSzD0X3i9yaQ3CVq1AcvQlk56Xei0aAFBeoA4wNIYhchrGBvG4WdGGMqSrK8px8NclSIuNsUrbGgNLvituBhMY3Wx1wkcBJkIIIQ9ckx0ipxVgMvd98gJMlMFEGpBKpYRCLm/oZhBiFeGrf8feJd/j6MpfG7opj5TGlsEUc3g/bpw6hr1L5pv0PO330Zg6uTRtq39YPSfAZKADK3LbRtw+H4Hdi761VvManCXlBviz9DEUYKpH4/q1E0II0asx9ZJZg0BgndPP/ah/kJeajKN//oKKokKTn6t90WH2ED4B1WAijcPGzz/AyrcmmjwT4v2kUlKRWmIeTTbwnQtnG7Yhj5jG1hlUWWLerHa6AaaGfV+82c0EQpTm5mDVO6/j0r5dxj3fQAeWpsYUUeN+zoxKpVMOgfA1rl87IYQ0ORQc0MdaF5v346J1y6xPcPPMCRxa8ZPJz9UZImdmgIk7DS4NkSMNqSgzA7LqahSmpzV0UwAAJ/5Zid+nvYzywoKGbkqToFIpkRZ31egpzhsDhmFQlp9HwfeHSGPK9AHMH7Kn/byGDpwpOcF2oVCIiK3rICkrxdmt6w0+h/uzMfQbamz1LRsabxY50BC5+lCAiRBCHgJN7UK6MQ+R0/To5SUnmvxcbq8WwzC8i1GTvsMmWuRbqVAgLTYGsprqhm4KMQJ3Omtr9tRXFBXiwLIfkBl/w+TnXgs7BLm0BtEH91itPaZgGIbXu59xIw67F32L0rzcBmmPpa4c2IPdC7/Bzu9nN3RTjHZx93as/eBNRO3516LtVJYU4/L+3aiuKLdSy4gh5h4/FDLZfcmeNDf7Wfuao6Gzy1XK2sCHQCg0qk+Te01haIbixlYzq6Fxz4WMSgUbsW0DtqbxowATIYSQB04gtFKR7/vYy6aQy0x+jpCTwaSUy3m9gNwLwfpwhxBaM7gol9bg8O8/487FSIu3lZeSBKmkyqTnXNi1FbsXfYv9Py+y+PWbosriIkRu39RosnO4vbbWDDCFr/kdd6LOYce8r8zeBtNA2aHndmzG6hlTEXf8KABg5/dfIy02Bod/Mz3j8X4rzs7CgV9+RH5aisF14iNOAgDyUkwPqDeU8zu3AADO7dhk0Xb2LJ6HiC3rcPDXJdZoFqkDNzBj7DmNUanw5/SJ+H3qy1o1cKzQHnOzi7Wexz0uGgrW3E/c4cICodCo4zRvuJeB7+J+XluZoyjrLtZ+8GaDzaisUvCHZVMGU90owEQIIQ+Bhu4lszarZTA1sosgG85Fh0Img0BU+z6VphRK5s0iZ72L1qtHDyLh7Ckc+OVHi7aTFncVm2d9jPWfvW/S8zQ35elxVy16/aZq/8+LELVnR6MprKri3NRZ87dWXpBvtW09aFF7dgAATq5bxVtuTs22+23f0gW4czESm2d9bHCdppYda4r81GQAQMb1aw3bECvLTU7EoRU/NejvrLKkGOWFta/PPecbW0NNLq2BXFoDlVKBqtISq7bP/CFyhmswcbNcHhRegEkgMDLAxJ1FzlAGU+MKEZxY+yfK8vMQvvo3s7dhyXW0dgYTBZjqZlP/KoQQQhpaU7sJaMw1mCzCyTxSyGW8i1ize2Ct+N1Lysussp3EqHMAgEoTb6qFNnTZUZecpNsAgOKsuw3cEjXuPmvN35pVLs4b+JDY2Hr49SnJyQLQMJkVj6KEc2fg4dcCPq3bNmg7tnz9CQCgNDcbkxb98sBfn1Gp8Ne7kwEAH2zYCVt7B51AjKiBb0GFIvOOZ9rHQaFW4OxBF39WaV1XGHOcZriBMAPH0cZ2bWVORrk1aWegczsTGYZpcp3Almpcew8hhJBHg7VmkWt0dQJqr9YUMv4FkbTKhOFkDLeH0Xp30jZW6nUTisy7ObBmFkxTC7pa2+HflmLzrI8tGlqiVNRm3VkzSNEUen8b2w2YPk12pqNGeDOXeesmDq/4qc5ssQetrqGRhpQXFqAkN9ui1+Vme1SVFAPQCsQojMv0uZ+HeHMzmLSvObh/q5QNMESOm1nDMEadY1W8IXL629zYAugNfa3H/W61Z5EzpfzBo6Lxnx0JIYRYTWPpZTGnHoPe7YjMLKIN9UVCQXqqddPaOW1QymW8m/K/P3rLrDR/q97YW+mGU2Rj3sWeyMzAlLa78dfx51uTcOvcGatsrylKiDyNvJQk5Ny5ZfY2uL3jKivuhzZW2A8bOsCoc4PaCAOe1gro1lRVIu740UZTDLsxFtgtzsps6CboMHYoGtea96fhn4/eRk1Vpdmvy5+lTP1/84aS3b/fFPf9mXIs0c584g/9e/CBBl6wTqUybogctwPLwCy1ja38gLWuXQsy0vDXu5MRd+KoSc/jfrcMGF4niXZnIqEAEyGE3Ff6LlzS4q4i4RG/MRZYqcaQJRd3kTs2YeMXHyByu2WFYrm437dCJtO5Kb91LsLYLendpqmybsXjbvx19m9rDVFr6AymfUsXoKaiHIdWNL7CypYw93PVxpv9zYLPnDc1cxPOYKosKcb1k8ea3I2CyJjfuxHHl7CVvyJ8ze+Npji/jW3jCzAZ9Vk3ctxzTcW9iQYYhsGdi5EozjY+gMboCSDxztVGZlUaCn7kJt1BdWWF0e3RJ/rQ3tr2mBCI0w7gcOMe5gT0NCpLirHxiw9w7dhhk56n5AY+jByqZUyRb3MzvK6GHcTaD6dbfVZNa0wMwzAMwlf/hsqSYoSv/t2k53K/W0bFzxSTS60/y+HDjgJMhDQCsprqJndh+7CSlJeZlVZuDKmkCvFnT2H3wm9weMVPBk/AkrLSBu+dv9/4vZnm37jyZmkzMu1e49LenQCAy/t2scss/dy5F24KmUzn5s3YnlteD6OBFPb6KORybP/uC/w7bxZk1RIAunUDzGVuoEhfgEtWLTEj+6z+9RUyGbZ8/QkitqwzadsNyVo3qdzziciSABOnML01j0nWCTBZrz3/zpuFY3+tQOT2DUY/x5oZXdqKMu9i96JvkX0nwaLtWGt/Srp8AQCQmXDDou2kxV3FX+9NRdq1aIu2Y62hvtbU2DI+zMGbvv7e7z0tNgYHfvkR6z551/jt8H4bjGaD7BJjAzH886X6+Rk34rBl9kz889HbRren3tcxYRix9vfMPSxakg19/t/NKEhPxYm//zTpebzAB8MYmcFkxBA5M4cAn/xnFcrycnF64xqznm+IwEplFcztKOHvs4xOZyLhowATMai8MB9SiaShm9HkKeRy/DZlPP58a1KTDyo8DFa+NQmbvvwQBempRq1flp+HXQu/MeqC+fBvS3Hk95/ZvzW1CbgSzp3ByrdfQ+Q23Rud8sICRGxdb9EU5qbuYyfX/8VOCW1NvKl9Lej10y6izTAMrhzcw8vaMYVCZllPVH0ZTEZf3HCHGBgRTNGHGxyouVf/iRvgsaQ2j9kBJq3nFaSn4repE3D4t6VWf/07FyORm5yIy/t3m7TthjZh/dEAAGfqSURBVGS1ABOnR9WSrLX7lsFklSFylj0/J/E29i9bhLL8PLYYtvEZhoC8psayBtTh0IolSIuNwbZvPrdoO8JGVoNp98JvUFlUiN0/fGfRdkSNMIOJm31o6bXcrXNn7ltHV130/cbzkhNN346e98+YEWDij7VT/y/l6mUAQI0FGUzav12FwvgZXnUCL5wAjamdXLw2mDLLLId2gMmYcyMvg+k+DZGz5PpCH2vMPCwQCMw+JmpnMPGv9SiDSRsFmIheVaUlWPP+G1j7wZsN3ZQmr+LeNLLymmqrH5Dvp7S4qzi7bYNFKcGNmbEBivA1vyM97qpRF8wpMZfrXefkur8AAJc4WTUae3/6Hpf37cJ/Fl6cG6s0NwdXjxzAhV3b9F54Fmdn4vjaP8yaCpnbG2VJrx83bVqpkCMl5hLObPob/86bVe9zxXb2Osu0U53X/O9N3L4QaXR7uBcdSqVcZ6iAOb8XhlFfzMSfPYUik2YX0y2EwQ1gKC3odTP3Zkr7olUzTMHUWkra21EqFLgWdoj3+Zh7wW4NjEqFzPgbJtcx0Q4GSSVVOLVhDXKT7pi0HW6PqiWBIaWeGkymdDwxKhXS4q7q1O7hZjA1xNTeALB1zqdIjDqPQyuWsMtkBoJGDMPgxD+rEBt+hLNMK3hsxbZZa0p2YwKWxrS7sQ3/aow1mIQ2/M4OYzEqFe7GX2ePFXdvxuHQip+w6csPrd7G+tuiuzeYE6DWl93HPQ4ZO5ydn8mrew4zl/ZsqiZlMAnvTwaTuUPSVNpD5Iyob8kPSuk/P1hS35KrNC8X6z99DzdOHzd7G4D1ajCZm9GrXYNJJ1ud8FCAieiVl5oEQN1DIKfI7H3Fyyho4Gk4TbF74Te4tHcnbpwOb+im3B9GnFDLC/KRHnfV/Je4d2kvl9bg6tEDKC+sO1BTcK9Hsygzw+zX1JDVVNe7DndaWH0XzDu/n43Y8CPYu2S+ya/PDQxZFKTU6hUtzTV+3L++HjqFVoCpvCAPB5f/aHxzVPzeTO0LM2PfK8OrwaRCcvQlHPn9Z6yfOcPotuibKYZ78WnJsZ03NNGE2lfaNYbMzWTR/u5iw4/gxD8rTfp89LFWFmn82VPYMe8rbP/2C5Oep30zd27HZsQc3octs2eatB3ud6tSqffDvJQkk79zFXcWOUYdNPt92gSc3breqOffPHMCuxd+ozOzFvd7l9fob1O934WVvquSnNoZs+QGjotZt27iWthBHF/7h1Vesz52jo5W2Y61AkNWy4Sy1k1iIxwix53AQGlCcDsh8jT+nTeLPVYU3k23uC02tnZmPU/fEDlzjtH6gtrcc5qxs61pz5Bmbns0NMHxaq0Akynfl3YmDfczM/Va5sQ/K7Huk3chr6nhBShNwc2aYhgVf7Y+Pe1hVCrsmPsVZ4H6cy1IT8XO72cj+96kEPVtx1inN65BUWYGwlYuN3sbgHUymADzM3p5+yxlMNWLAkxEL1s7B/bfJdlZDdiSpo97o92QUfCirLsozc0x+Xnci/OmRPveJT8tBWlawaSdC2Zb9BrFWZlQKuQ4t2MTTq77C1u+nglLL79l1RJc2L0NRZmGM12unzyG36aMr7dHidtjpC/AVFlcBEA9K4epBNANMN06dwZ5qckmbYeXMaRQmHQRwi1+nHL1MhiVig2uG3L3ZhzyUgyvw23PqQ1rkHjpPP9xAz2cDMOgvLCg9vlas7wUmDFcgjv0UBNs4ve6WSfApJAZf3Gu3XsosjU3wMS/SMxLNi3DRyP9+jXkJN4GoD7+bvjsfRz4xfiAokZhRhp2//Adm2l0+7x6qJWpwWDtgIAphXW5uIFSlVKFm2dOYPOsj7Hnx3kmbUd7iFzEVnU9K02GpUqhwKFfF7PHEkalwt6fFuDw7z+jprKS3f+1sxy5MzHJpbpZQ2X5efhrxhT8NnV8HRMiPLgh5Up57efAPcZoZ2Zl3YrHqndex63zxg+108fWwcmi52tYq6i/JYEqhmFQeDcdKpXSasW5zQ2gaLNm3STuDbkpnYW3L5wFUHussEabzP2c9QWGzAl86BuCxc2OMjqDScU9D6rPZ+bui2mxMfh92gSc+3cLJBX8ANOGz9/HweWLjdqOUGeIHKeNJgZiroUdQnF2Ju5EnTM/g4l7TaFiIOBsR19mlnbnoua72vvT98i4EYtt33wGQLu+pfmjK6x1X2O1DCazA0z8DCbu0EjKYNJFASai17HVK9h/Xz16sAFb0niUFxbgxD8rkWvGePS6WOuGzxJSiQTrZ87A3x+9pXOBcfdmXJ03SU11iJx22vCmLz/E7oXfoCy/NkNGOyBX17AGfSeg8NW/Yd/ShUiLVQeuJGWldfTwGnczdXLdapz/dwvWfzrDYLr2sb/Uv29DPUpxx48i7kSYVvCm7iBCWmwMTm9ca/TQAF5vpkqJrFvxOLTiJ2z+6iOjns9uh7O/KhVy3Yu/OnDX3fPjPCx79fk6Z0mqKi3Bv/O/xuZZH+Nu/HX2tZUKObJuJ0ClVPL2m/KCPGTG84viam6mL/63A9dPHWOXX9q7E2ven4arR/ar3xdvdJsKtg61GQ3GDnni/jY1vZzcfVTfEDljM3jMvZnSvuHV1xttTBu0p4q2sTP9hrOqtAS7FszB1jmfgmEYpMXGoCgzA3cuRtabTajtwPLFSLsWzWYamZvxoZvhZd7FMH+InBJx94Z23b0ZZ9J2tANMDi6uvMfLk28h+fJF9lgSdyIMyVcuIuHsKfzx5iuQVevPCOLuw/oCTOf+3YyqkmLIqqtx2MBMgcbsJ9WVFVjzvzfrnpnJiO3YOtR2unEPxVtnf8rbzsHlP6KqtASHfq0ddmeOxpbBZEnGUNSef7Hhs/dxav0aqwWGuEW+LbkGsdasjQD/DK1veK6sphoHli/WGXLNPbYD4AUIzGXO8RDQ+k3pGZJm7LmHH2DSfD+W1WBiM5jMnKji1PrVAICLu7ehvIBfx1JWXc0G+jSqSktwNewgpJIq3nLtWTn5w+LN2xfVtYGsk8HEDYBr6lJGH9qH9Lhr7DIuTfu1OwG0t2Muax2DjBn6Zwxzf/O8fZZheMFPCjDpogAT0YublVKWlwNJWSmOr/2jzp77pizrdgLWvD8N18IOYcvXn1h129yD1v0+SN06dwY3TukOaePedHKHRZXl5+Hf+V9j/afvGdymNQu/NipamTEaFUWFBp+y6p3XdYM69zbDnRKXK/XqFav1MgNA/NmT7L+ry8vrWFO/6soKhK/5HeGrf+PVWqkvwLR70beIPrQX18KMC0jzeiaVKrMzNbQLh5pyEWJqyjX3d/LvvFk4e68Q+4m/V2L7t58jYuv6egtyRx/ah6LMDJzbsQnHVtUG8iO3bwSgznq61/raJzEMxPa19aKMnZ5Zpafmxfl/awu2aw+XKsq6i7/enYwrB/6rd9u89HATAkzaF5vaAabEqPP4441X2EKuhmhfJOqrp6WNUal47eZ+n4xKxSsae3Zr3bOJ3TgVjqN//sIeGzTZfBrm3pBrfz7m1prhDZFTqnjHmKQrUUiMqs2sk5SXIfHSeb03EdzfvUqlgpOrG+dvJVRaN9LaQ8i4s45d2LUNx/9eCYZheMMN9BXLNqbHnJuldftCJJKuROmss+mLD1FekMfOzKRde8Uc3CByaR6/k8GYmeWMqdNi51SbwWTqzV1u0h2Er/4dkvIyqxRTByy7STy3YxMA4FrYQdRUmH5O0oeboaMvQGks7UC1JXidHXqOiVcO/Ic7F87qDLnmBS9hndo3YjMDefxh1cy99tR+98Ye67nb2fD5/5ASc1krg8nYWeR0M6G4+6KhTChGpdK5NnV0c2P/bWimNu7n/d8Pc3Hyn1U49tdvvHW4nSva5xRTMpi4zxPa2FgQ+NCqwcR5TKmQIzPhBk5vXINdC+eo1zcQYNK+HuIHmMyvZ2hJEDcx6jz2/rQANZWVvLqdDRHw0i6mzg1I0hA5XRRgIvVSqVQ4tWENYsOPYMvX9deBsPZMaJf27cKGz97nXRjmJN3G6vem6fQ43C+ano/7gXsCzU9Lwf6fF5k8TMgY5YX5OLTiJ4St+lXnItvQMD1uL76hE4ylGUyR2zfin0/eNbkYbl0YhkFhRppFbePuxVWltbO91XcjW5anvwZQfh3fKfeEZzgNWFDnifH0xrU4+udy3kWVpKxU53OtL81YxgkqyTg9d5qLkvpunI2f+YZ/scntkdbM6FRdUY6dC+Zg01cfGawZxQswaQ2Rq+sipLwgX+8sfobcOH1cp+jq5f27IZVIcP2kOhMp+uAeXD9xtN5tVZWWGtVGDUal4gU8tetHcJUXFuDCrm2QlJfh0t6d7HKVUqkzM6J2QPvi7u2oKi3Bmc3/1LH9fJ3Z8WQSCe7ejOP12quUSiRdiWKPNUqFHAXpqbzeeYZhIBLzi4XvX7YIUklVvUO5tIfacQNwtfsEv/d727efY8vXM9nfSMb1a+zjSrmc11PNLToul0mx/bsvcX7nVnZZ2KpfcfPMCXY9e+dmvPbY1HMRq1IpcWnfLmTd5k9DrxOAq2Ooy/VTx3D4t6V69yHud6tSKSHi9I7v++l77F+2CDWV6mPDzvlfY//Pi7B/2SKdmzLetlUq2Dk5s39KSku1ZiWs+ybk/M4tiD12CIV303k3qnKpVPe6Qes4pXmcGxSMP3sKZ7dtgLymBgeX/4h9P32vzgLlqCiqzVS4+N8OrHxrEuK0fqMMmHpvgow9l9QX0Incvgkrp09CaV4u0uOu6Q2KAYCtfW1Wi6mzZW2ZPRNxJ47ixD+r9HZeVFdW4Mgfy5BxI9bobRo69zAMg2thh8yetdNc3CCM9sQMJm3HCtlCGtzAo76aPhVFRZx/F3KGQ9euo1TIee/N1GLhRZl3wTAML4PJlMLT+joMRbzh0HUHmFRKJfJSknR+L3sWzwP3jSqNLvKtmwnFvQYx1J6dC+Zg3cwZvEC7k5tHva/HDdbkp6mv2bjBeEBr5lqt92nKZ80NSohsbPhD0kzYDrcNjErFOzcrFXJe54c6uM/ftuY7F2kfA7nFy824ltYcwS3pQN2/bBGSr1zE+Z1b+CUbzJ7Ao+7r6LpwPwOlXM7vmKcMJh2Na1oI0mBykm7j/M6t6DxsJNr1H8R7LOvWTfbfhmYbqCotQdyJo8i4EQtpVRUmLlzGu2G0hKaY6MX/tiOwU1cEdOjMpqUfXL4Ypbk56PfiBHZ9qURitfRyDWNSV6sryuHQzMXkbXNP6JqpulOvXsFHm+vPIjBEpVRi96JvkHEjDgEdO2P8nIW82W8kZaVw5Ax14B445VIpHO7dK3GDKZLyMjTz8NLzWgqtv5XYtfAbOLt7YPQHn9Xb1qg9/wIAYo8dRvcnn8HNMycR+thAOLvXfzFgyNUj+3Fqwxp0G/UMnnjTzKK/nBsebsBPc8GnSTfWVlaQD3e/FrxlKTGXcSfqnFEvq32DxCW0ERu8mdSXIXXglx9RkpOFcXMW8JaL7ewN9vpyl3NvuDXBAyc3D5QX5Blso3ZAq6KoEA4urjrHA+2ZV7gXjf98/A68g1rxAiL5aSlQ1NTAs2UQbz/k/n4uH/hP6yJEZvA49M8n7xh8DwAwaeEyXmFlQ8MJtWfaNOaGgBssK8xIw96fvtdZR3v2HO4NeUVxETwDWrJ/l+Rk4d95s9Dj6edx+8JZ5KcmI/36Nd6xe+ucz3R+q5oL3KLMDDi5uMLWnt+Trq0gIw0bP/8fmge3QSjnPLHh8/8BAO/3dvXoQZzeuAbu/gF445dVOPrncp2Z4lRKBe+G3JSbKe1hCtyhNwqZVCcQLJVUsbWWygsL0MzTixdIUyjkBoe4Jl48h6xbN5F16yb6PD+Wt+2q0hLcOH28zlnS9Em6fJE9t326ozbrT7v+Cnf/Vd982rD7uCYDLiHyNF5fvALNg1sDUB9DTm+o7RRhlEq9ARRZTTXsnZ3ZosIp0Zdw/dQxdB3xFPt63N5uFaPiZbdVFBYAnF5lY7OD0mNjeDdXh39bCpVSgck//Q4HrUBd7XtXwEYsxj8fv81bfmnvTt7QjoTI0+j1zBj2b3snZ/aYpMmkCV/9O5p5etduhFF/7prfB8MwOoF4Y2/4bOqpKRa1ZwcAdQZFWmwMAOD9f7bDnhO4A/i12qoryuHk5m7U63MV3U2Hi3dz9m+VSgmhUIRzOzYjPuIk4iNOqvc9o4ak6r9duHszDif+WQkAGD71HXQeNkJnyJch5mQ/a94Dt8mWZDBpH0cswb+x1z2WZd+pDSavfm8qhkyahj7Pv8QLeFZXVGjVt5MafS19auMaXD1yAINencLLYJLX1MDO0biaXryhbZrrfYH+Dkh9Tvy9EnEnjqJd/8F6tm16pg/vOfe+9FJOJ572pBya9TRDgVOvXkGLdh3h5ObOu+Y1RCmXQ2Qj1pkpk2EYVJUUw9nDk9eJlRJzSWdiD32Ks7OgUsjh1TKYXcYNjBZnZeIyZ+ZghUxW7/m4LD8PZ7dtgGtzH147uVn2SoWCd76SVVfrBPcYhoGkvEwnO40XMDXy3Bx9aF/t8+/939xZ27iqSop1ru0Ac+7zGF7Ay5SECO71k/awSQow6aIMJgIAOLh8CdKuRSNyW93DAgD1ReTF3dtRlp+L6yeP4U7UORz5YxnO/7sFmfE3UJCeatHMWoZcPXIA+5cuxJ9vvspbHrl9I3vzm3D2FH6fNgFxx+vPIqhP4d10xBw5AJVSqRvZ127b0QP4c/pEXD16QOex6soKZHJu9LTp6xmoLw1ZqZDjTtQ5nZsajZKcbGTcUJ9gM+Nv4Nqxw7xshqxb8fztcXoDuAdK7klFwsm64Leff5GYdTsed2/GISHyNPveSnKzseZ/byLm8D71jEb3pvCWVfOHYJ1avwan1v+Fnd8bLp4ddyJMb2+pVFLFHvTP71JnGsQeO2RwO/XhnnjknDoiSoUcjErFphtr273wG53970A9s5AZmoKce6GQdeumwRmODPXmaDKBdi3gt5Wb7XFh1zbs/el79oKKe2F1iFP7pCAtBYxKBSf3um90pFW1J96izLtY/d5U/Prai7rDa7VmXtGu1aKdbZMScxm7f/gOq2dMxZE/lkFSXoYDy37gBdZun4/gBTEUMhnSr1/D9VPH2JsQhmEQvvr3envAfNuG4skZH9e5DmB6dgEApMfFsP+O2LJOZ3gVwzC4ySnAvvGLD3B6w1r2790Lv+EVPr5yYA8qS4pxdut6NlMuS+uYo28ogUImg6Jagi1ffYTV70/j3SClxFzGjVPh7MVzRVEhNt4LJOWnJes9V3B/b5qAakl2JjJuxOoElwB1Jhf35unslnU66xiifUzmDiXTV/eHOwxLXlON8DX8oVzhq39DeWGB9tMA8G8cf5s6gQ0MAEB8xEmErVzO+21KykrZrDb185XqoQrxN9hARWVxbfYct23cgJtKqYSI877+encK7zfJtenLD9lj1pbZn6IsvzYIrFKpDPQi615ch6/+HXkpSYg/ewrLJ72I+IgT7GPaF9HVFeVgOPuV9lASQ85s/gfFWbWTEJQX5KGyuAjpnM9Vm2Y2O33fLXffOr1xLe97DO7eS+/2/vvhO/bfUkkVL+B1+3wEm40lr6lB4qXzKDRiIoOq0hKjJ73g7kOaTDJJWSl7nORmJRjKWKwvQMOoVLzAkOaYV5pr+sQchgKm3Pd7av1fOLnuL6O3Ka2W1P24pAppcVfZ30zUnn/xxxuvoCAjjReA0xdk0MYwDE5tWMMWp9ewZpFv1FOThbvPA+pjv/Z5rrqi3OxMjatH1Nefkds28N6XMTPGavA6NsyYGEITLNM3uoDhZTAZGWDSM6sdNxCjb1ZM7nXrgWU/YNU7r+PmmRMGO8i5FHI5KkuKEb669ljGgMGZzf/grxlTEB9xkvfZHlj2A+/5+gLRjEqFdZ+8gw2f/4/9rQP8475miDzbDgP1EfcsnoddC7/BhV3bsPaDN3H7fATv2l47wKRSKHgBwuqKcp0hclJJFVa+NUnv62ncPHMcseF11LGDOoh2euManeXWKAHBgOF9tvpqnBmLlyFYz3aqK8px9egBVFeU48ap2msy7fNwfbOzpsVdxaV9u6w+wqcxowwmAgCoLFYfkErzcvDzy8/Wue7qGVOgVChw7t/NBteRamUxqFRKtpewurICdo6OOqnJmgygpCtRKMvLgYtXc3jf65Gtv/1FKMvLxdF7WQbha35H1yeeMuq5+mTeuokd33157y9GZ2zy7kXfYsSb78HNxxcA2Iuqi//tQI+nnuOtu3P+1yhIT8X4bxbCO6gVLuzehk5Dn4DHvQwEU2edAIArB/cictsG+LYNRVCXHlDIZRg4fhLE9vaQVUuwZwl/eElhBv8i5vjaP+DTqg182oRAIBDwhjZwLyC4B19N77RKpcSJtSvZ5donVO7JrfBuOjwDWuLi7u0oL8jDqQ1rcO3YYXQb+TROb1yLgA6dec9NibkEQPdCTCM/LYU98c/cfgBSSRXsnZyRn5aCTV9+CPtmLpixehMcXVzZQMeN08dRkJaC1j37okWHTrqZNCoVSvNz4ebjp9NrXZR1F3HhRxBzr/AyoK6989YfhocQAer9j8uYC2B9jv65zKj1TBn/nXEjFo6c3vDzO9U1ee5cjESXx0fxgn5ch1b8hLL8vHqHCHJ/+3cu1hYz3TJ7Jj7Zshc3I07Ct3VbXmA15sh+XD8RVud2s2/XBkU1ve/1iTtxlK05dCvyNMZ/swiX9u7UGSJjSOdhT+DS3n+tPlPitbDaQIy+YSrLXnlOZ5n2xfHhFT+hw8ChSIg8bfT70aaQSiEtKdK8AG5wio6rhzQA9s1c0LpnbxxbbVzwID8tBc2DW/NqpBgKGK95fxqGT63NSOH+zuqjW2i19vORSqp0Mj64gYmC9FTeewV0h0Fwe/zFnOEmjEqF3Yu+Zf/WNwHC2g/f4v0tr5Hi6J/LkHT5Inxah2D4lLfg4FKb7bpiyji8Mv8ntGjXgXcxXpKTxbvRqK4ox+3zEXjmg8/01g+rLi+Do6ubToahSqW/k8TQ7H+bZ33M/lvTUQHo3kxJqyVs4AcA0q5F692ePvp+U5rhd3KZVCcgWng3A34h7YzadnJ0FM7t2IT2A4aa1bN8aMVP6DR0BJ567xOsfOd1g4F9Y5QX5uPKwT3o+dTzvOF6XPKaalQUF2L1jKkAgNd+/JX3/q8c2oszm9fhhc9mo5mnOnvz5pkTCFv1K56f+TXa9nkMgG7mFcMwvOEgCpkMYjt7kzoANRlDhjvZ+DdMCZFn8NR7n+DuzTjkp6Wi5+jnDW67pqICTp76awUxDIPfp70MABg2eTp6PTOmtk7dur94Q8BSr0XDO6iV3u2oAzZCVFeUIebwPp3HrTlETntoEpehG8vrWsehW+fO8LJctM/tDMNAVi2pNyOJezzUV+NMH03nmUZBehr8QzsYVSdUqZDXOzxUXwaTvmxB/nNUev9dV3v0BQ2Or/kDLpxMH0OUCjn7O6x9YQbRB/cAUAfHg7r2MNhGvR3GnH2hODsT/qHtAdSdeafve5eUlSIlRl2b0NBvmFGpeNdKSoUCmZwO2eqKMmRrDcvWdw6T19Twvq+Lu7cDAAI6dOZlT1/atwtXww7COzAIvZ97SW+buMcORqUyufal+on82lGmTCzCJZVUIenyRfZvhVwGkZ56ZYxKhdyURERu34SM69eQHH3J4PEbACI2/4P0uKtQyGQYMH4iWnbuBkalQuq1aDQPbo3dC78BAFSWFOHxqXVnzzcVFGAiANT1I+oamsNlTKrksdW/oeOQx5GXknQvm+UMFHIZnpj+Hv6dNwsAMHDCa+j13IsQ29rh7LYNuLR3J1x9fA3WsKnLxi8+0LkIVCoUkNVUQ2xnzwsqKORyHP3zF7Tq3gudho7Q2VZKzGX25goAchJv6xzs02Jj8PeH0xHabyDaDahNBZaUlfIOoHJpDdtDlRJzCcf+WoGy/DxcPXIAH25Wn7BUBnpVbp45wWsfwzCoLC5CM08vtpBybtIdNvsl+uAeDHplMm6dO6PzGXJ70zW2zJ4Jv5B2eHX+T1oZTJwAE+fEqNk/8lOSeTe02r0h4Zxe7E1ffohWPXoj9eoVdllJThZOb/obgG4BWK7SvFw2gKfB7f05+scyxJ89hRFvzGBT9GsqyiGTVMPBxY29gdEMbYo5sl9nyFxO0m0cW7UChXfT0WnoCF7GilwqxfqZ+ofXrXn/Db3L9clPS0YzL2/1cJJ7ejz9HNvbWBfuzV1dTOnNUSmVqNRTqFxz8qyriHnk9o1o2blrnduvqaxgM3CqOMcURqXCjdPH2RnsuOoLLgG6NW6MwS1onXEjrt7gucbQ12uHvRk73KM+vZ8ba1TxbFMUZqSxw2rNIauuhrKeLIIT/6xE+GqF0eeHC7u2ou+Y8bzhIHWpK6ikuWm5fSESHv4teDeROXdu8dblXthn3Y6Hh38A7943L7U2g+7w7z/X2y5NkeUzm//Re2NaF+1zEfeiNi8lEdu/+0LnOWGrfsW0ZSt5daEMTa6w8p3XMWmh7nu4uGcHsm/f0lmulMv13sSt++QdTFxQ/2dhiExSpVPk2xK3zp1B1q2b7LBprm3ffIYXPv/GqO2c/GcVACA2/DBadu5mVltunjmBEW/OMBhceuuPf4w6D+z/eRHyUpLqPN5n3U7gFR3OjL/OOyenRKs7Xla/NxUfbtgFsb09jv75CwBg39IF+HTHQcSdOIpTG9Zg7JffcbbMD2qYUowfUAcM9/28CE9Mf48/rOTeNY5SIcfxv1fynqNSKvDb1AlsR0VdQcHi7Ew43QuYKWRSiMViKORyJJw9BXdff3a9mCP7ecMeFQo5rzbZ2a3rUZKThcETp/KGQVUUFWLdzBmwd3Y2OFy/vvIHCpkMKTGX0LJLd51hjNq4QR3tz7qypEh7dQDQ2S/uxl/nTcSikMmRk3gbB5b/CJlEwmZpuzb3wZgvvoVXYJDONgUCIS84UJ6fB4FQiIjN69Dn+bHwD+3AWz8/LQWX9u3CnYuR6DjkcXb58bV/oOsTT/ECZ/oCOoV307Fl1if17l/cQIdSqUR5YQG2ffs5Og0ZgfYDBkNkaws3Hz/UVFWy1+36Mqq49HWu6Qs+KBRygx2XXPVdi0jKSnUyzrnnMH0ZTNxr5OqK2mzEugJM5YUFaObhxd5LhK36lZfVbIhmuLOGUi7nZXlrrne59AUgV0wZB7+2ur/d/LQUNsAkKS9jh3lXFhXCSaushb4aTAq5rN5OSqVCjpw7t+HfrnY/ZRiGd++plMtRXliAMxvXoufoF9Cifcfa15DJILQRQV4jxe0LZxHMCQgWZfEnk1HIdANMcSfCeBlsgOGAnr51dn4/G5/uOIi02BjsWTyPdw159cgBCjARYgnNxRG3JxQAG1wC1NMQn/t3Mz7cuItN8TQnuAToXtADwPJJY9h/f7JtH9tTdeNUOG6fj1APpzkfgWc+/ByR2zehJDsTvZ99kRdcAqB3aIfGnahzOrV1ku9dDAKAKydAolQoecMWNAxlMB398xfY2jsg6fIFFKSnouBeiv6odz/UGVKjoZ1mW5+cxNuoLCmGUl574OaOC+dlMN27wdQ+KSZeunBvOOF+pMXG6FxkcINLLCPSRI+v/QPjZn8PuUyKlOjLSL16GRWc9x1/9hQAsMGl2vbX8GY64oo9dogNMCVeOs+bkv7mmRNw5tT2ubh7m87zzaUJLtmIbfHqgqXwDAjUe8PR54VxvPTvuqhU6mFllZlpuKMwv4ddo6q0BJnxN3ROrNrqC3pVlhRj7QfT9dZpMiXDwdTX1UdkY2NSXZ/RH3yGDoOG8ZaZU1dNn/YDhlg9wKSpfWSu8oI8yCvrntVJXzCyLlm34vlTt9ejrmP+vp8WoNczL7KzLr32469w9/XDzu9n69SH4AZGj61agTMb/+YFpI4YEVTiktfUQC6tscp3tub9afWuU5aXi9Mb19a7HqDOVDq+VncWJENBDGlVFWQGbma2zjH+u9JWUVQIhRlDRA2pLyvx2KpfTd6mKYWstW375nO9y/uPexUuXs3rDTJVlZYYNfOu9oxWIrEtm6mgLeboAfQbM563TKVSIny1Omv23/lfs8sZFcP/ncjkOpk0JbnZ7FBqAPj5lecAhsELn3+Dffdqw2mCWRqam8Sky1F6z+XcLNi6ZhXVDGUsvX0Df25dA7+27RDUrafOube8IJ/3OSrlcp2b4hunwnHjVDgcXd3QpldfCEU27JAeeU01JyOdjzsjmKS8DEmXLiB87R8QiUR4dcHPSIg8jeiDe9CyczeM/2ahwfdSUVSIZE7Bds21U2VJMeydm6Horm6WiD7agXOFXIajf/7C66AC1PV3Tq77C32ffwnXTx/HgHET2ccEQgEvGLObMxw06fIFfLD+X/amV1Jexpu8QjuIkZt0p84hcsfX/lnv0CmNxEu1WaKZ8XG4de4MKosKEbVnB1ubTMOjRSCmLVupVRNKd19TSGuvNzMTbiAx6jxunY/QfXE9z23ZuavOdYV2R6c+3N8LAF6pivTYq2jm6Q2vgJaI2LoeXoFBaMUZpqsZGs0wDOQ1hjPPNfur5t7FmOASAJ3zlVIhh71zM3Yov3ZwCTA8YiAn6bbOMs2smTWVlTozUmvXJdLgTjAhl+rWR2QYBud2bILY3gH9xoxH3PGjOLnuL7QfOJS7Fq8TafePc9lrkztR5zBz+wEIBAIoZDL8+vpY3va5nQylWpmzCpkM3PBScXZWvdfAxijLz0XUXnVHCfd46ObjZ/G2HxYUYCIA+DNHabj5+KGiuNDsav3Gzjpw8/SJ+ley0J0LkezBitsTn3YtGnuXfM/WK7HkYlRj39IFepff1nPSk1eUI7WOm+79yxbpLONObV6fMV98g71LdAsIc61+bypGvVN7gaEZr19ZXMTLNinLz0NpXi4vgAaoeyw3fPa+0W0yluZkdW77Jr0FrA05tGKJTo0pbcXZmbzgkob2RY61vbpgKVuIV8PGzg7Obh6wsbXFY2NfhmeLQJ0Len3ijoehLD8PuRHh0HeL3n/cq3B0dTc4Ha+21KvRVqldBsBgEfACraGapjBnmAp3Wtv6BHTsrBNcAvQHmDz8A1Ccze8Jc3R1g42tncH3bldP7/eDENixC+QyKdsDa2pmDlfXJ57Su78YqgtnjtRr0bzj4+avPkLn4aOQm5zIW4/bmaAhlVTxMiSN5e7nj5KcbMilUpQXGE6JtzaVUmHS92H8bI3qYP39UF6Qj6os3RsWABg8cSrbu83lFRik9ybHGNbct4yhXR9H47GXXgEAuHg15y0X2zvAP7Q925OtL1vTGHUdsysK81GkdUP4y6sv6F23NC+HVxukoqgAZVrHp38+4hdN19yI79Mz8YBGwtnT8AwMQonWMVDvupGnDT5WWVyE1KuXURh9AYD6hlbfTS3A76ysa0ZW7fpn9eEO1dy98Ft25jClQoHNX33E1nbLuBGLE/+sxLWwQ3h+5tcI6TcAgDpI5uzugQ2fvc+7wY6POIWYw/t1jkGOrm5gVCqj92WFTGZwht27N+PYYtZ3ODWPGIbRGVLNdX7nVgybPB03z5yo91pj65xPeVlSCrkc1ZUVuH4iDNUV5UYHl7Rxi0HrU5x1F1WlJTj06xJ2GcOodCYSUMikUMqk+HfeV8hN1L/vGNKmd3+zOq7qEnNkv05W7pSfaksmHF/7BzwDW2Lfku8R2KnubHDA8G/bWEqFAj6t29aZgaPprDXG+X+3oDQ3B4lR53U6m7lZc4D6/C2vqeFlwFUUFrBZhpm3bsK1uQ+kVVVs1iqjUrHXFdzOfYbhd3hrd3wte+U59Hr2RYT0HaDTZu59nfbvQpPtppLLsfb9NyAp0z/Rh6nWfjBd7/LSvBwUZKTBmzMMtqmiABOBUiHXyToJ7TcQz378JW+s7PWTx4y+YBIIhSgxspCkdgaKRv9xEyG2s0OECYVfDTm04ieIbG3h2yZEJ8KvXQz3ftG+oJDVVCP9wA5oX2prz55lrqCuPdC6Z986ZwzT4H6v+5cuxKBXJiP+7Clem2PDD5t9MWGu0rxck4JLgG4Bc22R2zfxaqpY4q3f/8Ga/6l7sFu074ji7Kw6p5DXviEBgJA+/TH6g8/YWgSdho4wKsB0cfc2VNeRPWBr74Duo0azNysu3s15sy1pq2t8ubVYu5aRhmdAS711BLjHtZZduvOGH2kz1Jvo5lvb4zRx4c+wc3SCi7cPLuzcwisY++5fm7D3p+/ZANOMNVuw/+dF7PFFM+TKWFOW/qE3cDv6f58aNcRLn4COXTBg/ESdYcCmGvTKZPR70TqTKZhKu3aSJfQda/1C2qMkJxsKmRRlBYazq/zbdeTVunjQjB2yaG32zVzQfsAQXAs7qJ5xyc4eSj3nFxcvb7w0+3u29oQGN7jk1TLYqOLZhojEYgumqzafobo97/+9FSIbMTsUN/t2Apzc3A3OTmgOkY0YGz41vkOnqqS2mDw3u8kS2jUGzVVZUoSon+9vp44pNMElLu45RFM7b/+yRXhi+vuoKi3BhV1bEdChs072RtLlC3pfQ1JWio8278Gvr71oVJuUcpnJRZIZlUonCM8VfWgvhr7+ptHX1tzf7H8/fFfvudRaVr3zuk479i3lZ5HJZVIUX49BmYnBJQAI7TcAzVu1NpjdBqivoy2dtEg70/jQr0tQU1XJy+iyNrG9A+Q11VApFAbraprLUKZp2b3sJq4VU8bx/t4862N0f/IZCIRCXD1yAAKBEI+/8S77+Lkdm+DfrqPO9SjDqOrtmIg+uIetlWUsWXU1ZNXVSNu/DSrO6A31rKL6kyT82rYzGAivl0CA7Nvxj0SAiWaRIzrTcQLAczNn6RRi6zx8JHzbhta5rff/3g4IBOwsYeZq3bMPBoyfiD7Pv4QRb+qpQyEQwN2vBYa8ZnwtnP1LF2L1jKlGTWn79p/rebMSGaPfixNMWj/2mP5gzeQlv2HKUst7nJ+c8REEAgGvyKexIrdvNGq8+v0kq642KtBiqqg9O0weSqhP/3GvwsW7Oab9sgrdRj2D52d+jffWbMG42Qsw/ptFeP5T3Yt5e+faLJZR73yIll26s/V+uDVSej1b/8VnVWlJnd9tMy9v3t+ymhr0eFq3eHRdWnbuhjdXrMWzH3+J4VPfMZgR5O4fUG99CnP0ef4l9HmBf4Hi0zpEZz03X39MWfoHr34E19RlK3WKwL756xo8/b/a4UGGMqR6PfMiAjp2xvCpb8OvbTt4+AfARizG4IlT8eJX6qEHwd16QiAQwJ5TeNWhmQte/u4HhPYfjA6Dh9f5+egrUOuqpyDpwJdfR4fBw/Vu4+n3Z/L+tteTeaW5YHJt7qvzGNeTMz7GW3+s0+lhHTZ5Ovo8/xJbD+XV75ei4+DhmLL0D0xaWH9BelODbNbw8twf8eYK/UPPOg8fyf7bxs4Oj730Kvq9+DK7rDhLf4ZGr2dfxHOffIUXPuPPzth/3ET43Svg6qxVj8Lp/+3dZ2AU1RYH8P9sdrPpZZOQQiqpENJIDzUJIZAQQicQagBRQCmKjaZSpYg09dkAUURQpDxBwUJRESkCT5ogIr2XJKRtsvd92OxkJrupQwrh/L4ou7O7dzZnZ+6cufdcG1ttXahS7q2DMXrlKgxdIH04vqWdg95jqRNexIDXKl+9Ug/HoeeLM9B2wBCDT/d4YSrGfbgOzqX9gH/+OGgwuQQAppbWsFTZGXwuKr0vrBwckf7CNAye9zb/uHUzR4SnpiN++FNInzIdGa8vQFi3NAR27GzwfUa89S5Uzd0q/AxDNUSGvGn4JllQYjI6DR0NuVKJ+GGjDW4DAN4R0QYfN7G00ityXPAwVzTlvLxOQ0dj5FL9VZd0FCametOyjuzYWq3VsOpTbevUCZNfj5vvP1yJ/aWr1dZkpGRC1tOQKxQY8+6aai1ioy4sQEkdLIH+VkZarZPU9ZFcMmTX+yv02lxcWIj8G7W7cWWhsoNrQCCeW/Ml/GLaoWW7TojrJ15NLTgxudL3iOkzsNLnDamoxMWjZO+mrZOUn5tj8BrP0HFM5eIKuYGC19V1q5o3C45+9w0/nZsxjd6ITUM3bs4f/r1a1241tfezVfh53WpRcgkAmnl5G9ze1Moag+Ys5vtGutGs1RHYMRGjV3yMkKSU2jf4MUIJJiJaXaeZl7doupQQx3HoPuElOPv6o0WbSHQdO0n0/JA3l2kvoEuHWBsq1Knj2MKn0ja5+JcVbAtJ6savGDLmvU/w/Bf/xfPrtyHr7f8goG2HyneuFjoOzoKlnT36TH1D9LiNkzMmfb4FE9ZuQjNP8cEnoG1HtMsYKnosvopCbvsrWYXP3s0DreO7VNlW/1htgXHhhQsAxPQeAMvSekItwqMAaDuBFnb26DzKcOHYiiQ9Vb06L4YuiFHJ6iBVuXvlksHRZWmTXq71e5b/u7UfNJz//xFL3tPbvqKE6oDX5vMdEZWLKzqPfAZmpXWfPIJD4d46GOY24gvM8tOvghK6oN+02XqrXQFApyEjMXCWeBnU+GH6FyOVrQ7jExkr3jY/D/HDntJL2FY0J9zSzgH9ps+BjaMT/GPbo023NHi1iRBtY2JugfGrNmD44pV4+v21oufKX2BX5fkv/ovJ67eJLopd/Fqiw6Dh6D6x7A6jlb3+xbSNoxPs3TzQbdxkjF/1hWiVE21b7ETFX/vPnAcbJ2e0EiRrKroQVJqZYcDM+WjTTX81pBZhkRix5D2++LBSkEDkOA6cTIa0iS8hZfzzogSig7snwlO1Q98HvP4muo1/HgqliahQpbBOgV90W3QbNxlRpck2YSfQwlalrTsSEcMfB0wsrdC2XEcZAPxi2gIAVM1dEZKUAlvn5jBt5ox+M+aJlnP3j2sPK3sH9J1WNk3GOyIa4ak90SFzBL9CnItfALqN106hcPLxQ4s2kQC0I0vKx3UzL29RrNU0gS8s8lsZWxdXOPv6Y9TyDzHm3TVwbdna8LEJ4kSbvZsH2vbPhK1gxNqdy9oku1dYhKiOQ6chI2Fhq+JX9AK0309cv0FIf34q4vplInPuEnQdOwl2ru6I7TsIGW8sxLBFKzF43tsYtfwj9JwyA1b2DrBzE8dqbTz1zioYm5ry/5YbK+EX0xbNBedRobb9B+OZDz5D2uSymogjl32I59dvg3d4FGJ6D8DT/1krSsa4B4XCt/SYYmTgb+faqmxF0Mj0vnAPCtEr+qrTftBwjF7xEWwcneDYwgeT1m3B0IUrMHLpB+g0dDTadOsBn4hoNA9ohYThY9B17ERkzl2CsK5povOsTC7HiLfexZj3PoF/XAfRVJ6QLqkoEIwqyVr6PjLnLoGDhxcfm7GCujVGcgXCU9Px7KoNCOuaBifv0kQ2x8GtVRC/XUXFoh0FFyS636eJuYXB0QPRvQYgbfIrCE9NrzA2AcA3MgburUMqTGqVN/Gz6t+9L1/8vM+rb1SwZdUGzlqI1An6hesr4h2hXfUu9+4dWAh+QzrCxK+hRSWCErrAxtEZMiN5pXWR7N09Ref4xkCXsLBQ2WHg6wsMbiO8GfHjqv8YnE6X/PSEan1eTO8BBm/K1LUBM+fzfaK69ODmDRTdr36icsKnXyO61wD0mVp2blOYmCBt0stIefYFxPYdiEnryqbvOXn7VZjgBgCfiGiDfceGIlcYI+XZF3CtdETXjhWL+ZHrwpUX01+YBs+QNqLXuvi3QtbS/2DoguWISBPXMWqqLp/6Eyf26Ne36iA4bvjHlV1nFpWeU3q9PBMjl32Itv0Hw6KCGymAtu8GaPvjXcdOMth/baqe6ClyBw8exMyZM7F//34UFRUhMDAQEydOxKBBg6p+cROiNDND+0HDwTSaKkfhWDdzFK06oxth4uDhpVdbRjfE0Ss0HPeuXeWLwxnJ5eg4OAuXT58QrfKUMv55tAiPxqUTx+ERHMo/znEcnl29AUzD9EZsWKrs0XfabCiUJvh8elnHr2W7Tjj1826EJqci+9ZNvYKZfjHtSg/Cp3Hr4gWEdklFiVoNmZERZKXLXws75zIjI/SfOQ8ymRFkxkboO302Phg7Ak4+fojq2Q8eQdr2th80HAe3fIkBr82Hvbsnflr9H9HnegSHwcJWhRN7qq47FdK5Kz8dJCQpBY4tfBDYKRFrX5qA2xcvoOOQkQhJ6gZn3wD4xbbll1YNTU4V3YHuOGQknH0D0LJdR35p24PbNuHBjesIT+0Jr9AIfDlnmt7n6wQndoVcYYwdKysfodBt/Atw8QvAtbNn4OTti2tnz8DOzR3qggIc3r4FRnI5XAMC8ffh32FqaYnIHn2wfLg23kwsLDF88Tt6Q6IB7bKowjuEfjHt4B/XAWd+3Yu+02bjy9llbfcMDUf2rZu4f/0aWnWIFxUhVJqbY8ibS7F9xWKcKp1z3qpDAtwCg2Buo4KVvQM6ZI7gh40/u2YjjE1Mcfnkn7h79TJO/bKbH5XXPCCw0u8CABw8y0aleEfEoPPomtWpEq70kpj1DEKTUw1vF98NV3/aIXrs6f+s1futlBQXg+M4hHZJgUdwKPKzH+DK6ZNok5KOzQvewIVjR9D75deQffsm9qz9GCnP6hf/FSaNdN8PTzBtxD+uA7oLLjjO/3EQty/+C1uX5ti6qOILAo7j4NqyNQbNXoxr5/7iL6y8w8susPKy7+u9TniRrjQzFyXNAcDY1FRUS8nRwN2p2t4dEyZ3lWbVG8VlYmmFjkNGIab3QH5U2/hVX4CTybBv3Wq9Y6mquatodNaQN5fh5N4f0KpDImycnKAp0UCuUKDfjLn4ac0HCEroAo/WIWjm5S06Lurel+M4dB41Fmq1Gtu3b4ezX4AoISQvHYkhnApUnRpYqc9Nwelf9yKgbUdwHIfNC97AxT+Pw9jUDEPmL8WXgulSEz7dhMsn/8QXrxtOGD//hbY4cF72A+TcuY1mni3gERyGTaUFa+OHjcZPa8QJ18y5S8oSAwIcx6HT0NH4+9Bv6PnidFw79xeu/32WT4gBAFe65g0nk0GuVKK4sBDXzmoL7noGhxm8OytMMNk6NwegHakU21d7VzuwY6LeSqXlb67IZEaY8OnX2Pvpx/jj27Ii3b5RcTj7+6/8Eu2AttaUrmh9YKfOOLH7e/43Ett3EPZ8+jHAGMa8u8bgNK7Q5FTkZWcjvHtPKJQm8Itui6ELV8BSZS8aXanbD1FMCFZiNVKIR+o4eLaAiXnZKo+6zrmhpdQN3cCSGRlVOWXAydsXTt6+uCy46aAbUWlhq0L3CS/ilw2f8dMo5AoFEkc8jW+WLUCXpyeIViUb8PqbKCkqglUzR34Uim7FVN35P3Nu2ehZxphoZStDhBcZ/WfOxbqpz4tq5winXLTLKDvPVbRk9+iVq/jjbdexk7AyS/9OuW9UHNoOGII1U8bBIzgMRnIF4vpn8v0q3QjQU/t+wk+r3xe9NrrXAL42iXdEDDxD2iBzzlu4c+USNJoSvVqPzn4BogLUNk7OuH/9GgbPexv2bh6wd/OAjaMz/vh2G+xc3XH36mUkjR7P10dzbx2MtgOGopmXNx7cvI6/D/1WNuWF40RFmLuMeQ4xvTO0F2Mch7cyykbejnl3DSxUdijMy0NxUSHMbWwxef02HP/+W9g1d0PzloFgGg3/dwQAUysrfP/BSsT2HYRfvhDfCLG0d0CHQcNx8c9jiEjrg1WT6maFJ9dWrZE44mnRKDcjY8OxNO7j9dg461Vc/PM4nxywUNmJRr54R8YgVakU1Shq5ukNEwtzvq6QysUVbQcMQVy/TOxY+RYuHP+jwin80b36I6J7b6wcWf0RGeU5+fhBaWaOdhlD4eTtizHvralRDaG+02bDIyi02qu9AsDvgrqZLdpE8n39hBFjUJSfLxqt7h/bHnKFQvT7M0RmZIT0F6YhL/s+rByaoevYieg6diLyc7LxwfiR/Lkw442F/PG8uqtKVsbcxhYt28fjjx1bEdath6icR/kyAIEdExHdqz8uHDuCH1dprzOsHZ0wqnS0rnB1WV1hdpWzKz8NlOM4dBnzHH7fspGf+qkwUcJSZQ9LlT0sBLWp5MZKjF/1BVZNfrpsUQ6Og7VDM4MLF9UlS3sHWNio9KaoOfn4wb11CL9gFKBNcroEtORj0L11MMxt7aA0M4PMSM7XPDS0OqGwv9h17CS+hq7u/KswVvKrXA9duAI/f75Gr2SAi38rpDz3AkLPpMK53MqNT4InNsG0e/duJCcnw9jYGBkZGbC2tsamTZuQmZmJCxcu4NVXH81c9ceBqaUVf2e8tmRGZaFUfkn28NReOLHnez7BNH71RsgVCjj5+vMdofDUnvzUD5/IGP33lxlVON5Ol9zRzTkGgG7jn0e7gcNgaWcPjuPw68Z1fEcSKBsF49qyNVxbau+8yo3Fd2WFHT9Vczd+RBAAmFpY4tk1G/WWfo5K74vIHn30Hje1soa1QzN0HDIS186eFiWYghKTUZSXhzOCIo2AdtqPjq1zcwQlaEc0dZ/wEm79ex7+cR3AcRw/EiL9hWk4vH0zonuKk4RmVtYI7SIektl/xjycPfALWsd3gdLMDJM+34L/LnlTb064boRUy/bxKHj4EMd2fsMXNx48722+8KbS3BzNS5cUdSmdIqIbjWFiboFOgmXfvcLEo2AA7d/B3MYWz3/xXxz+ZrNoNSX/uA7Ivn1TVD8o+ZkJ6JA5XK+mUZ9XtHVl1IUFkBsrYaGyw29frUdocipiems7Tt3GTkJz/1YoKS6Gha1KlDQRXjDq/v6urVrDtVVrFBcV8gkmQ0t+l6cQjDIxsbAQJ2NqSBiLwto8HCeD0tZeVItk7Ifrqlz5zNbJBbZOLnwSK+W5Kci9c5ufqhWUmGzwAtXCtuwiqvx0ECEbR/EUrBZhkWgRpr2Yn7B2Ey6eOIav55fVACo/As/Z11+0vLXc2BgyIzk0JcWwd/dCVHo/3L9xHTfOn8X969fQsm0n0esLBLWpzG1V2ulrlmUXwDIDbX8Uw6+rmiaYOuFFHNzyFZKeGq9tk+CiXndB1CGzbMWx6F79cebXfWhTbvSOyqW5eCRH6d/KwlaFNMFoL91vEUCFo0l0hH9bQxe9BbmGV4gRMjY1Q3BiV/7fPZ6fiv1ffs4nx8p/P66tWsM3Og5nD/yKwfPexmevTtab/mNmZc2PPvMIDkVUz34AYwjslMQnmJKeGi/6XEPCU9P5Y6VHUCh/3ijb6bL/VShNUFxYyHfonX0D+BWvhEwFo+IKKyjEWx1yhQIJI8bgnz8O8efJ1Akv4tKfx+AqGD0jXBGx6zMTEdtnIEyttL/1iO69EJSQDGMTE4N/PwtbFRKzntF7vLq1IIRJpfLJa2ffAP7OrpDwONk6vgvaZQwxOGKzJiwEI0PLH4eFx3IjhQIewaEY++E6lCdMNulUVjuP4ziYWlhW+DwgHlVoKNFsZm1Trakxqc9NgU9UnCiRZWJugXEfrcfHk8YgP/sBuk98GVb2DnDy9gUnk2HMu2v4EWzCUYKBHTvD1MISYcndYWZljStnTpZdTCqVGDR7Mf7931G+/+fk48eP2vVuEwVwHN4drR0J6R4YgsQRT+PTVyYiKKELkp56Vu/7d/L21Zuqq2Nuo+KPRyoXVzh5+/J1gmxbhSL7rz/5cxjHcQZHdsmVSj6RpzQzg9LMjN8+JKkbvx1nJD53BcV3QVDpiHBjUzP+xt+ET7/mywiIV6zSToN1axWE4z98C0uVHZTmFqKL1+oITe6OhBFjcPPCedi7eej9biqq5QVo608KdR41DnKFMX8zUG5sjIDSPuB/334TgHa1qsHzliA/Nwen9v3EjxTjZDJ+5F3u3Tv45+hh/PDxuyhRqxGemo7Yvpn8d6k7HhtiamklGk2lUJrA3MYWQYnJMLexhU9kLP8+5fevmZc32g8aDpWLKw79dxOK8vJw4fgf8ImMRe7d22g7YAh/LGrTrQdfKDsooYuoaLuxqRk6DRuFa3+d1ivm7tjCl08wBXfuBpmREYISk/kYLl8gvDKGrkNMLa1g7+bOjw7S9XkBbX3NhKyn8ePHZaOZRi3/EA9u3kRBbjayb9/C5VN/8isNRqT1xt+HDkCuUPA3Lwoe5qJD5gjE9M6A0swMVvYOfPJo8Ly38f1H7+DsgV8w4q33+N+BrXNz2Lm6Y8eKxeg0pKywdMpzU7B9mXgUvIOnl6jOmKWdPdplDOOPCRDU6BYmzNv2z4SRXI7MuUuQffOG6CbJ1b9OYduS+QhPSceh/36tV29Ot2hGdUz6fAvUBYX4as503PjnHDLeWAAzK2tRwezB896GqaUVNCUl+OWLtbhz+SIs7RzQNmMITC0s4dYqCN8sXYDEUWNFo2oBwMTSGimlZRFuXjhf6aIa9u6eiOk9ABYqe8gVCr7/aYiphSWSRo/XjvCVyfDgxjU8uHkD/nEdYCRXVKuYe1P0RCaYiouLMWrUKHAch7179yIsLAwAMHPmTMTGxmLmzJno168ffH3rf1jp48rJu+yAE5HaU3Rn2cnHD38fLlu+VddxEl6AP4qCpdbNHPmCoRzHiYYixvUbJEow1VSugVoBFSUZhI+7tw7BxT+PocekV/iDXfmVV0K7puGP7eJVJwBxvZ6cu2UrJti5usHOVb/uhE9kjMGToiFW9g6iKScymZG2Y1GaYOrz6huwtLPnEy4cx6FNtzS06ZaGO1cuoUStFo2yMFQDpCbcBCeCNt16iBJMfjFtcfWvU6IEk8JYCUVpcsnSzkGvIKBuelFcv0z4RsXBztWd79xxMpmoMyokHK4vK3eRZmzgbnxVEkaMwcFtmxCZ1qfGrxUS3o21c3VHv+lzse/z1fBv2xFX1NqRArrfUFXJJUNMLSxFF1AVdXzNbcsuDmVGFXeOhQnn8uTGxmgRFolnPviM7/iFGZh+Vt7QBctw+JvNCEtO1ZsCV54wWaSbyivcP0O1qx5FsWDf6Djs/uQD2Fdw0R4Q1wEBcdWf1tsuY6je1Nua8otph79++xmRVQx5r2pKY0UrGVVGaWaOTkPLOoeGajD1mCxYVr2K2jIymRHaDxzG/9uxhQ9unD8nGuFWa4LjtkJpgnyUXYzYODkbTB4Kj/WPYoUzU2tr0Uhf4bRFQ8pfhAsv7sozVIejOjxD2uDCsSNo07XsNypM4BqZmiOiRx/8vslwsWZdx9y1ZaDk5BIA0XuUL8IqfK6mhZHzsqX9/YQLR5jb2Og9b2ZVSYJJMIKnfKJDx8TCAkMXLMf10pGdwtgT7rfwpgufgJHJENC2Y2mCUnsxKVcq4eDuKUrki9prbSNaFj4v+z4cW/jwIwtrykzQRo7j0GnYU/hqznTIlUrYtgpGwaXzyFdXngAorqSeVXXpErKA9jdWUT9OYWwM7/AoeJeWGFAXFSI/+wG8I2LQzKsFP2JcR64wRli3NJhaWSOo9MadLtFraMRseT6RMTh38Df+38L+jomFJRxb+IiOMbpRpv6x7fkEU172A3AyGcysrCucUmyhskNQQhd4R0RDrlDo1c/yi27LJ5hSnpuCkqIi0ZRF3egiCzt7jHlndZX7peMVGgHPYO21VkIV5SPCu/eCiYUlgjt3hbmNLZ9IMjY104705TjcuiBenGHwm8twS7Cypu4cL5wa/2iuM5z4BFN5YcndsW/dGv5Gt3UzJ9E07PDUnsjPyYappRU4jkPH0hqyuu+0RK0Gx3H871aYmJAbG6PLmGfRZcyzev0z99YhGPOeuK6oqnRErU5gp86iKcQ6wnOG8PsRJph0yfPy/URAO9J+zLtrtPvXvRfuXrmM/749nx+dmP7CdMiMZFCaW0BpZo5D2zbxo8o8Q9rA3t0Th7ZtgoOHF2QyIyjNzDBw9iKoCwv0bsqqXFz5v6eRXC66GafjGdIGYz/63ODvWnhNqDAx0XveMzQcFwSr1gpnglg3a1ZloqzsfB1W6XZPiicywfTjjz/i77//xogRI/jkEgBYWlpi+vTpyMjIwKpVqzB3rv4y5kQsc+4SnP5lt6iWgXA57v4z5kJpZgaTKu7+1eTOQkU8gkIqXZFGd8dMd1enOnRLKnuUq1dQXb1feQ05d+6IRnQIvx/78FjYOjeHyqW5oZfz6mPerpmVDf//boFBFY5QsRMUVY0fNhp7P1uF+GFPGdy2Kr1emomLfx5FaHLZkGhOJsPg+Uux+5MPENd3EMysrJEwfAxKiooQGK8/Fz79hanYvOANg7UWOI7Tm25UGQf3smlt5U/i1g76K8BVJaxrGsK61qywtlBQQhdcOvE/+Me15x/jOA7urYOROectqNVqXNm+Hb7RbXFs5zd6hb0BbZLt142f1bjAtyHCgrqGTuBx/TNx5td91fosMytrZL39H1w+fUJvGpEhdq7uFdaHK8/WuTnuXbsCj+AwvlPr5OMPa0cnmNuoRG2PTO+Lg1u+fCS1OqzsHfDMB59JGq32qKU8+wKievar8nfg2tLwtE/ddNSI7j0lt8UtMLjSlecc3D1x6+IF2JYb0VaRQbMXQ11YYHAqVnVZ2Nkj985t+AjOC+VXmVSamSOkSwqO7tqOFgZGYAL6yY7asGnmJJqGVJ5uRaPgzpWP1jKkoqlYVen54gw8vHcXVoLjn2doOCxsVXAPboOi5l7a/w8MMrjC38hl7+PqX6f5+l9SKUxM0CYlHQW5OXq1L4RtrOniFrVNEHqFhuOfo4dFxYANxaOTj6/BVcoAoEVYBM4fOSiqkWKIha2qyptIFqqyRHH5hK4wuSKs8VYR4XFSakHu8snF5v4tMfqdVSgp0eCH3bthZe9Q6SiyR0V44V3ZSOTyxY4VxkrR+Wf0io9x6eT/+DIRLdt3MnjBW5WRyz5E4cNc2Dq74MDmjfCLaQdAcCx0dsHg+UthbGIKcxtbhHRJhamlpcHfs6GpPhURJl6E/OM64MHNG7B396g0cW9SzWOu7qK9daeK6xiVZ2XvwE8zFpIZGfF/s+zbggRcM2eomrsZHEUpZFfBggA14R/XAad/2VPhTbTKppJzHFfh926IvZsHer44g+//VzbirTxbZxeYWdsg78F9eEfEIHHkM4CG4dzB30QlSITyc8p+f8IFGiqaylkex3Gwc3XDsEUrcf6Pg3hw84bezXDv8Cg+wdTl6edgZmUNB3dPUZ05juMM9qEqWwW5fDuEer44A6d/2cPPYgCg9/7NojvAq1UrUYJJKCKtD3a9v5yf8UKq9kQmmHbv3g0A6NJFv4iy7rE9e/ZU+PrCwkIUCu6kZJfe+VKr1VA3wJK5DcnO3RNt3YcDAL/v7iFtENipM1xbBcHJryXUajVaJybj6M5v4BUaLvqOdBcvod16SP7uonoPRFFBIXyiYg2+V9fxL+DMr3sQ3Dml2p+VXnpgatUxsdbtM1fZiV7r4OUDl4BWcPT2Q461g/b76dwND27dhGdYhGjb/q+/iQtHj6Blh9p/fnVZC4rblmgYNNX4vKCkFLTslAS5QlGr9rkFhcItKBQlGg1KBJ0jlas7er+qLcKoVqthpFSia+kQ7/Kfo3LzQNbyjww+V1MyhQLD3noXMpkRiktKAMFFo6NvAMLTesPGybnefufxWc+AMQaO4wx+pu6xyN4ZsHZ0Qos2UXrbhaf1hkdouLYelsR2N2vhi8j0frC0tzf4XhE9+iKiR19R2ypjYd8MAe2aoaREg5KSR7cyUuqkl3Fy9/cIT+staseQBSsATty2mL6D0LJ9AqwdnR7J31VhagYG6bH4KKlc3VFcrD+8W9dGtVoNa+fm6PXK6zCzsRW1vfNT4xGWkg4HDy/J+9QiIgaJo8ahmZe3wfdKmfgS/tixDW1S0qv9WTKFsaR2DXh9Aa6eOYkW4dH8+wgv9BUmpijRaCA3MUXW0g/AyWSiz4sf8TQObv0Ssf0HS/5+4gYMwc0L59E6IdngeyWPnYR/j/8B74joan9W6qSXsXvVf9DlmYm1bp9puZiQK00wYukHKC4pwa5du6BWq+Ed3RZJRUVw9PETbWtqbQvvyNhH+htvV5oMLh/TNi6uaJ3QBUoz82p/nq4PElbLPkjq5Fegzi+A0txcfJ73aIFb/5aNqIjtPxhFBQUIaNdJ73MSRo2D+ab1aB3fRXIMmdnaISwlXTtSXGYkej+NpmxEktLSqlqfZdXMEdk3b8AjpE2t2uYTFYfLp/6Ef9uOeq+XK03ASh+LHzUeu955C5HpffW2C05KwfFd2+EX217y96Ny80D7zBEwt7Uz+F4dh47C2d9/RWAFv0EdUxtb+MV14BNMTj7+tWqbucoO5qUX8zGlN2rVajW6PvsCTu75AW1Se4IzkvPv3bF0RKjws1ImvIgfPliJ5HGTHsl5p03pKraG3su/bUec+WUPItL7Veuz0ia/iqKCfCjNzGvdNnsPL9z+9x/4xbbj38PR2w9/HzoAE0sruHbuDrVaDUcff0T17Acb5+aizxo072387/sdiOzZX/L34xHSBqkTX4adq+H+VGz/wdi/4VNE9aze9wMAvtFtcfbAL3APCtN7jXvpDbKatpuTKzBi6fuQGQlG6RkBfabN1ns/t8BgXDpxHAHtE/jHjQUzKNSFhTX+fLfWoXAz0G4LB0eA47SzEEzNoGGAb2kpjoo+I6rXAPz+9RfoOGx0rf5+7sFh+t+jYAR+35nzcfTs3/Bv1wnqwgI0DwjU+5yA9vGwsLNHM0/DfZcnSXX3n2PCMbBPiH79+uHLL7/EoUOHEB6uPwTdwcEBHMfh5k3D2dLXXnsNr7/+ut7j69atg1klQ9SfdEyj0bvrwjQalBTkQV7N4rikbuXfuAbOyAgm9jUfrUMIIU3BrUO/4sFf2mLSpk7N0TzhyVhW+EnENBoUZd+HsbVttWrrVVdxfh7unTyGwru3YNrMGXYhkVW/qI5p1EW4sPULGFtZwzWp6mnJAFBSkI/82zdg7uJeq1FwjDFAo9Gri1Sj9ygpQd71KzB1dDZYP68hqXOzUXDrBiw8vGs9SvBR0N2IqvPP0Wigzs2GwtK6Xj4P0P6W8q5egoWHNz/1VaMuQs6Fc7Dw8IaRceUj/+oTYwzq7AdQWFX/+9Goi5Dz73lYuHrCyMDUrbqmKVaj6MF9KFX2ojZf/elbFNy+DrduvaGwqHnphYqUFBYAjMGomiO9GWMozsuF3MzikcbcjV9/AtNo4Ng2od5iuSnIy8vDoEGD8ODBA1hZVRwXT2SCqUuXLti1axfOnj0LHx8fvee9vb1x+fJl0SglIUMjmNzc3HD79u1Kv2xChNRqNXbt2oWkpCQoKliZhpDKUAwRKSh+DGOM4c6lf1GY9xDOfgE1mprwJKH4efyoCwpgpFBUWkOvPlEMESkofuoOY0xvRcamiGKoZrKzs2Fvb19lgumJnCInlVKphNLAXHmFQkHBSWqM4oZIRTFEpKD40efsTYt8VBfFz+Ojsf6dKIaIFBQ/RCqKoeqp7nf0RCaYrK21RdYePDBcUDA7O5vfpjp0g8CyJa5CQp4sarUaeXl5yM7OpoMaqRWKISIFxQ+RguKHSEUxRKSg+CFSUQzVjC7XUdUEuCcyweTrq70zefbsWb0aTPfu3cPt27cRFxdX7ffLydEu2evmJn2FAkIIIYQQQgghhJDGJicnp9LBOE9kgqljx46YN28edu7ciYyMDNFzO3fu5LepLhcXF1y6dAmWlpaPvFBYZGQkDh48+EjfkzQOutpdly5dotpdNUC/iTIUQ0SnNr8Lih8ixeMQP3S+aNwehxhqaprSb4Lih0iliyEfHx8cPny4oZvT6DHGkJOTAxcXl0q3eyITTImJiWjRogXWrVuH5557DqGhoQC02bhZs2ZBLpdj+PDh1X4/mUwGV1fXOmmrkZERHTSbOCsrK/ob1wD9JvRRDBEpvwuKHyJFY44fOl88HhpzDDU1TfE3QfFDpGqKv4u6Up0yQk9kgkkul+PDDz9EcnIy2rdvj4EDB8LKygqbNm3CP//8g9mzZ8PPz6+hmwkAGDduXEM3gZBGhX4ThOij3wUh+uh3QYgY/SYI0Td69OiGbkKTwrGqqjQ1Yb///jtmzpyJ/fv3o6ioCIGBgZg4cSIyMzMbumnkCaArJl/VUo+EVIRiiEhB8UOkoPghUlEMESkofohUFEN144kcwaQTFRWFHTt2NHQzyBNKqVRi5syZUCqVDd0U8piiGCJSUPwQKSh+iFQUQ0QKih8iFcVQ3XiiRzARQgghhBBCCCGEEOlkDd0AQgghhBBCCCGEEPJ4owQTIYQQQgghhBBCCJGEEkyEEEIIIYQQQgghRBJKMBFCCCGEEEIIIYQQSSjBRAghhBBCCCGEEEIkoQQTIYQQQgghhBBCCJGEEkyEEEJIE/Hw4cOGbgJ5jP3555948OBBQzeDEEIIIY8pSjAR8gjs378fP/74I06cOIHi4mL+ccZYA7aKPC5OnTqFc+fO4cqVK9BoNA3dHPIY+vjjjxESEoItW7ZQDJEa+/TTTxEdHY309HR88sknKCwsbOgmkcfId999hzlz5mDBggX4/vvvkZOTAwB0LCLVRv1oIgX1oxsXeUM3gJDH2ZEjRzBu3DgcO3YMjDFwHIdevXphypQpCA0NBcdxDd1E0ogdOHAAU6dOxfHjx5Gbmws7OzsMHDgQs2bNglKpbOjmkcfEyZMnMWrUKADAV199hdjYWHh5eTVwq8jj4MKFC3jmmWfw3XffITExESEhIUhISKDjD6mWo0ePYuzYsfjf//4HjUaD/Px8yOVyjB49GitXroRMRvexSeWoH02koH5040RHfkJqac+ePejevTtyc3MxZcoULF++HJ07d8bnn3+OjIwM7N69GwDdwSP68vLyMH36dHTq1AnXrl1DUlISRo0ahYKCAixatAizZ8/G/fv3G7qZ5DFx9epVAEBKSgo2b96Mb7/9lkagkCoxxrBgwQL8/vvvmDt3Lt555x28//77CAwM5J8npDxdXGzduhVpaWnIy8vDtGnTsG3bNuzatQv29vb46KOPcOjQoQZuKWnsqB9Naov60Y0cI4TUyrBhw5ipqSnbsmUL02g0jDHGCgoK2MqVKxnHcczX15fl5eU1cCtJY5OXl8feeOMNZmNjw4YMGcIOHDjAx8+uXbtYREQEc3d3Z//++28Dt5Q8LrZv384cHR3ZypUrmY+PDwsJCWFHjx5t6GaRRkp3vPnpp58Yx3HspZdeauAWkcdNXl4eS05OZnZ2dmz79u2spKSEf27RokWM4zi2b9++BmwheRxQP5rUBvWjGz8awURILRQUFGDnzp3o2LEjevToAY7joNFooFQqMXbsWGRlZeHcuXN49dVXG7qppJE5d+4cVq5ciejoaCxfvhxRUVH8EPCEhASEh4fj0qVLOHHiRAO3lDR2rHQkwfnz56FQKNCvXz/069cPx48fx4YNG5CdnS3ajhAA/PHml19+gUKhQFZWFgDgypUr2LJlC2bNmoVBgwZh9erVOHXqFAAaQUDEDh48iJ07d2LYsGHo1q2baBpTdnY2vL294evr24AtJI0d9aNJbVE/uvGjBBMhtXDt2jXcv38f2dnZ/MWbTCZDSUkJAODFF19EYGAgli1bhmPHjgGgizyiZWZmhhdeeAHvv/8+rK2t+bgoKSmBTCaDt7c3AFDdAVIlXYxoNBrIZDKYmZmhb9++iIyMxKpVq3Dw4EEUFxdTLBER3THnxo0bYIzBz88Pubm5eO211zBgwADMmjUL69evR1ZWFlJTU3H27FmqpUNEdPFw4sQJlJSUgOM43Lt3D+vXr8eKFSvg6OiIPXv24IcffkB+fn4Dt5Y0pIr6vtSPJtVh6G9O/ejGj3oMhFSgsju2Xl5eaNWqFa5du8af+ADAyMgIAODn54dRo0aBMYY5c+bUeVtJ41NR/Hh7e2PEiBFwd3cHUHYC1MXO6dOnAQCOjo710ErSmFU1akTXqbp9+zY4joO5uTlCQ0MxePBg3L17F2vXroVcLodarcbx48fro8mkEakofnTHnPz8fBQXF+Prr7/G3Llz8fHHH2PGjBm4cOEC9u/fj5EjR+LChQsYM2YMrly5Up9NJ41AZcefdu3aIS4uDjt37sSYMWOwePFiTJ48GWPGjEF+fj44jsOgQYOQlJSEkSNHoqioqB5bThqLoqIiZGdnG6wJSP1oUpWK4of60Y0fJZgIMWDhwoVITEzkl9otr7i4GJ07d8bly5dx/PhxUUdM9/9Dhw6Fn58fNm3ahJMnT4LjOLr78oSoKn7s7Oz0HtPdtbt48SK8vLwQEhJC8fIEqyqGgLJO1bVr1+Ds7IycnBzIZDJ069YN6enp2LhxI4YOHQpTU1OsWLECd+7cqa/mkwZWWfzojjXdunUDAOzYsQMfffQRZs6ciVdffRUuLi6Ijo7G4sWL0bdvX+zevRvbt28HQCMInhSVxY8uBj766CN06NABq1evxiuvvII1a9agd+/eOH/+PDZv3ozTp08jPj4e69evx3vvvSd6LWn6Vq5ciYSEBHTs2BEBAQGYP38+/v33XwDaPjT1o0llKoufkpIS6kc3dvVZ8ImQxu7MmTOsR48ejOM4xnEcW758eYXbbtq0idna2rKEhAR25coV0XPFxcWMMcZmzZrFOI5ja9asqdN2k8ahJvFjyKVLl5ijoyPr06cPY4yxwsLCumgmacRqEkO6wrqDBw9mkZGRoudefvllJpfLmUwmY0FBQWzjxo0UT0+AmsTP8ePHWVBQEOM4jpmamrIDBw4wxrRFwHWxtX37dsZxHIuOjq6X9pOGVd340cVHTk4Ou3XrFps8eTIbO3Ys/7xarWaMMfbDDz8we3t71rJly7pvPGkUDhw4wKKiophcLmdBQUGsXbt2zM3NjXEcx7p27SralvrRpLyaxI8h1I9uHCjBREipI0eOsMTERMZxHOvQoQNzcHBgjo6O7OLFi6LtdCsV3Llzh2VkZDCO49jKlStZfn4+v42u87Vjxw7GcRz78MMPRY+Tpqe68VOZrVu3Mo7j2LJly0SPFxYW8iup6OKPND21iSGNRsPi4+NZRkYGY4yxEydOsJSUFMZxHLO2tmYymYxNnTpVtD1pmmoaPzk5OWzatGlMqVQyjuPYd999xxjTJgd056qioiLm7e3NAgIC2L179+prV0gDqO057PTp00yhULBPPvmEMSaOH41Gw8LDw5lMJmN//fVXne8DaVj79u1jISEhLCAggL333nvs0qVLjDHGLl68yFq2bMk4jmNfffUVvz31o4lQTeKnojigfnTjQFPkCCl18eJF/Pjjj5g+fTr27NmDsWPH4ubNm1i4cKFoO90QXZVKhSFDhsDDwwOLFi3C3r17RdsAwN27dwGAL3JJhVKbrurGT2V+/vlnAGVTVxhjOHz4MBYsWIC1a9eCMUZFC5uw8jH0zDPPVBpDGo0GHMdBJpMhNzcX06ZNQ+vWrfHLL7/gueeew+zZs+Hj44NvvvkGhw4dAkBFL5uymh6DLCws0L17d8THxwMA3nnnHQCAXC7nz1WXL1/G7du34ejoCBsbm3rZD9IwansOO3HiBIqLi/mpKEZGRnz83Lt3Dzdv3oSvry/s7e3rfB9Iw3nw4AHmz5+Pc+fO4Y033sCYMWPg6uqK4uJiuLm5YdasWQCAPXv2AAD1o4lITeOnojigfnQj0YDJLUIaVPnsd0FBAfv2229ZUVERY4yxkydPsuDgYCaTydhvv/0m2laX/Var1WzRokXMwsKCtWnThr8DzJh2qHl8fDzz9PRk58+fr+O9IfVNSvwYeq+CggIWFxfHwsLCGGPa+Fm+fDkLDg5mHMexWbNm8UPGSdPwKGKoqKiIRUZGMo7jmFKpZL169WJff/01f4yaPXs24ziOjRs3jj18+LBud4jUq0cRPyUlJezLL79krq6ujOM49s477/DPnT59mmVlZTFjY2P29ddf19l+kIbxqM5h+/fvZ2ZmZmzQoEHs1KlT/ONnzpxhI0eO5EenkKanfAyNGDGCbdiwgf+3RqPhz0W///474ziOzZgxgzFWNgWO+tFPLinxU34UEvWjGxdKMJEnzq1bt/QeK3+g0v172bJljOM4lpKSoncg1G1z9+5dtnDhQsZxHFOpVOz5559nU6ZMYUlJSUwmk7HXXnuNFRYW0rDeJuJRxU95p06dYra2tiwtLY199dVXrHPnzozjOBYZGcnXRiFNw6OKIV1Haf369SwxMZGtWLGC3bhxQ7TNwYMH2dixY9nx48cf5S6QBvSoz2EajYZt2LCBcRzH5HI569SpExswYACLiopiHMexYcOGsbt379bR3pD69qjPYefOnWPp6emM4zgWFRXFVq9ezaZOncri4+MZx3Fs8ODB7ObNm49+R0iDKR9DunPR9evXWU5OjsHX7Nq1i3Ecx5YuXco/Rv3oJ9Ojip/yqB/deFCCiTwxrly5wrKyslhERASLiopio0ePZkePHjW4re5gd//+fZacnMw4jhNl1Q1ZsWIFP5LAysqK+fr6ss8+++yR7wdpGHUdP2vXrmUcx7HAwECmUqmYg4MDFbVsYuoyhi5cuMD/v0ajobt0TVBdH4O2bt3KMjIymK2tLXNzc2MhISHs008/feT7QRpGXcbP4cOHWVJSEl8cnOM45uXlxdauXVsn+0IaRlUxVFltmzfffJNxHMd+/PHHCrehfnTTVtfxQ/3oxoMSTKRJ0x2s1q1bx2xsbJizszPr1KkTCwkJYcbGxqxZs2Zs/fr1Bl+ru1OyadMmZm5uzgIDA9n9+/dFz5X///z8fHbp0iXKlDcR9RE/uiHAuqlMHMexl156qY73jNSX+oghQ68hTUN9HYOEHj58yE6fPl0Xu0PqWX0ef+7evcu2bdvG1q1bx7Zu3VpHe0Tqm5QYYqxsRcH09HTm6urKrl27xhijfvSToj7ih/rRjQ8lmEiTl5uby8LDw1nLli3Zjh07WElJCSsuLmbr1q1jCoWCWVpasr1791Y4RJwx7bxgjuPYnDlzRNsIV7ygVQmapvqKn82bN7NXXnmFXb16tW53iNS7+ooh0jTVZ/xQgrLpoeMPkaq2MaRTXFzMVCoV69OnDyspKRFtR33npq++4of60Y0HJZhIk7d69WrGcRx78803+cd0nejly5czKysr1qFDB3by5Em91+q2279/P3Nzc2MqlYpdv36d3bp1iy1atIjNmzePlm5u4uo6fm7fvi3aljQ9dAwiUlD8ECkofohUUmKIMcb27NnDOI5jixcv5h+7f/8+++KLL9jnn39et40nDa6+4of60Y0HrfVImiyNRgMAUKvVAIDQ0FDRvwFg8ODBGDlyJPbt24eNGzfi4cOHoveQyWTQaDSIiYnB008/jXv37mHYsGEYNWoUpkyZgmXLliEnJ6d+dojUq/qKn7y8PH5b0rTQMYhIQfFDpKD4IVJJjSHd63/44QcAQEJCAgBg3759mDFjBjIzMzF58mTcu3evzveF1L/6jh/qRzce9JcgTcbZs2dx8+ZN/uCkO9Do/v3bb78BABQKBf+cjY0NMjIyEBoaijVr1uDvv//We1/dtgEBAXBwcMDOnTuxdetWTJo0Cf/++y/c3NzqfN9I3aP4IVJRDBEpKH6IFBQ/RKpHHUOMMQDA3r174e/vj9zcXMyfPx/Dhg3D8uXLMW7cOFy4cAG2trb1to+k7lD8EF5DD6EiRKpNmzax2NhY5uLiwszMzFi7du1EQyb/+usvxnEcS0xM5IvDCefsFhcXs1mzZomGXwpXYPrnn3/YzJkzma+vL+M4jqWnp7Pz58/X096RukbxQ6SiGCJSUPwQKSh+iFR1GUN37txhKpWKeXh4sLZt2zKO41hSUhI7e/ZsPe4hqUsUP6Q8SjCRx9bVq1fZkCFDmEwmY+Hh4ax3796sZ8+ejOM4ZmxszHbu3Mk0Gg0rLCxkPXr0YNbW1nrLneoOcL/++iuzsbFhoaGhep+zYcMGxnEc8/PzYzt27KiXfSN1j+KHSEUxRKSg+CFSUPwQqeojhrZs2cKv7OXr60srDDYhFD+kIpRgIo+la9eusczMTGZnZ8deeeUVUWG4BQsWMIVCwdLS0hhjjBUVFbH169czExMTlp6ezv7++2/GmH4xuMjISObo6MjOnDmj93lUhLBpofghUlEMESkofogUFD9EqvqKoatXr7KWLVuyFStW1MNekfpC8UMqQwkm8lhau3Yt4ziOvfjii6Kh3IwxdvPmTebv78+MjY35oZiXLl1iAwcOZMbGxmzOnDl8xlytVjO1Ws0YY6xXr17MxcWF5eXl8e9Fy6c2TRQ/RCqKISIFxQ+RguKHSFUfMaR7X93zpOmg+CGVoQQTeSwdPnyYzZ8/nz9A6f6rOxglJSUxT09Pdv36df41+/btY56enszOzo6tXbtW9H5nz55lzZs3Z+3atWMFBQW01GUTR/FDpKIYIlJQ/BApKH6IVBRDRAqKH1IZSjCRx5JGo2F37tzh/1+ouLiYtWjRggUGBrLc3FzRc1999RXjOI4pFAq2ZMkSduTIEbZ582bWs2dPZmVlxdatW1dv+0AaDsUPkYpiiEhB8UOkoPghUlEMESkofkhlKMFEmpx//vmHqVQqNmzYMMaY/hzf9957j4WGhjKO45ipqSkzNTVlZmZmbMmSJfXfWNLoUPwQqSiGiBQUP0QKih8iFcUQkYLih8hBSBOh0Wggk8lw7Ngx3Lt3DzExMaLHdUaPHo2MjAx89tlnyM7OhpGREbKysmBnZ9dQTSeNAMUPkYpiiEhB8UOkoPghUlEMESkofogOJZhIk6E7eO3evRvGxsaIiooCAMjl2jAvLCyEXC6HkZERrK2tMXbs2AZrK2l8KH6IVBRDRAqKHyIFxQ+RimKISEHxQ3Q4xhhr6EYQ8qgUFxcjOjoaeXl5OHXqFACgqKgIP//8M3777TfEx8cjNja2gVtJGiuKHyIVxRCRguKHSEHxQ6SiGCJSUPwQgEYwkSbmzJkzOHfuHLKysgAAR44cwTfffIP3338fV65cwbZt2xq4haQxo/ghUlEMESkofogUFD9EKoohIgXFDwEowUSaCMYYOI7D4cOH8fDhQ9jZ2WHNmjVYsWIFDh8+jLS0NOzbtw+enp4N3VTSCFH8EKkohogUFD9ECoofIhXFEJGC4ocIUYKJNAkcxwEA9uzZA41Gg+3bt+Pw4cPw9vbGrl27kJiY2MAtJI0ZxQ+RimKISEHxQ6Sg+CFSUQwRKSh+iJCs6k0IeTwUFBTg4sWLALRDNBcuXIiTJ0/SQY1UC8UPkYpiiEhB8UOkoPghUlEMESkofogOFfkmTcrSpUtx584dTJ06FUqlsqGbQx4zFD9EKoohIgXFD5GC4odIRTFEpKD4IQAlmEgTo5sDTEhtUPwQqSiGiBQUP0QKih8iFcUQkYLihwCUYCKEEEIIIYQQQgghElENJkIIIYQQQgghhBAiCSWYCCGEEEIIIYQQQogklGAihBBCCCGEEEIIIZJQgokQQgghhBBCCCGESEIJJkIIIYQQQgghhBAiCSWYCCGEEEIIIYQQQogklGAihBBCCCGEEEIIIZJQgokQQgghhBBCCCGESEIJJkIIIYQQQgghhBAiCSWYCCGEEEIIIYQQQogklGAihBBCCCGEEEIIIZL8H4muf68EMPp2AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1400x900 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "bmvIndexDataFrame.plot(\n",
    "    figsize=(14,9),\n",
    "    subplots=True,\n",
    "    grid=True,\n",
    "    title=f'Datos diarios de {bmvIndexTicker}.\\n({dateFirst} a {dateLast})',\n",
    "    fontsize=14\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Es importante recordar que varias de las características de los datos están en `bmvSummaryData`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Los precios están expresados en MXN.\n"
     ]
    }
   ],
   "source": [
    "print(f\"Los precios están expresados en {bmvSummaryData[bmvIndexTicker]['currency']}.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Podemos obtener los rendimientos de las series de tiempo:\n",
    "* Porcentuales: $\\displaystyle X_i(t+1)=\\frac{P_{i+1}(t)-P_{i}(t)}{P_{i}(t)}$\n",
    "* **Logarítmicos**: $\\displaystyle X_i(t+1)=\\log\\left(\\frac{P_{i+1}(t)}{P_{i}(t)}\\right)=\\log\\left(P_{i+1}(t)\\right) - \\log\\left(P_{i}(t)\\right)$\n",
    "> **Nota**: Como \n",
    "> \n",
    "> * $\\displaystyle \\frac{P_{i+1}(t)}{P_{i}(t)}=\\frac{P_{i+1}(t)-P_{i}(t)}{P_{i}(t)}+1$\n",
    "> * $\\displaystyle \\log(1+x)=\\sum_{n=0}^{\\infty} (-1)^n \\frac{x^{n+1}}{n+1}\\approx x-\\frac{x^2}{2}+\\mathcal{O}(3)$ \n",
    ">\n",
    "> entonces los rendimientos logarítmicos son casi los porcentuales cuando éstos son pequeños en comparación con 1."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>open</th>\n",
       "      <th>close</th>\n",
       "      <th>adjclose</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2008-09-15</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-09-17</th>\n",
       "      <td>-0.028117</td>\n",
       "      <td>-0.051136</td>\n",
       "      <td>-0.032355</td>\n",
       "      <td>-0.048322</td>\n",
       "      <td>-0.048322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-09-18</th>\n",
       "      <td>-0.005098</td>\n",
       "      <td>-0.008673</td>\n",
       "      <td>-0.048280</td>\n",
       "      <td>0.046686</td>\n",
       "      <td>0.046686</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-09-19</th>\n",
       "      <td>0.059870</td>\n",
       "      <td>0.061007</td>\n",
       "      <td>0.049168</td>\n",
       "      <td>0.044683</td>\n",
       "      <td>0.044683</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-09-22</th>\n",
       "      <td>-0.014791</td>\n",
       "      <td>0.019754</td>\n",
       "      <td>0.042218</td>\n",
       "      <td>-0.022393</td>\n",
       "      <td>-0.022393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-05-10</th>\n",
       "      <td>0.000334</td>\n",
       "      <td>0.006876</td>\n",
       "      <td>-0.005475</td>\n",
       "      <td>0.001190</td>\n",
       "      <td>0.001190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-05-11</th>\n",
       "      <td>0.003691</td>\n",
       "      <td>0.000018</td>\n",
       "      <td>-0.001261</td>\n",
       "      <td>0.003260</td>\n",
       "      <td>0.003260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-05-12</th>\n",
       "      <td>0.002289</td>\n",
       "      <td>-0.006236</td>\n",
       "      <td>-0.000533</td>\n",
       "      <td>0.000671</td>\n",
       "      <td>0.000671</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-05-13</th>\n",
       "      <td>-0.000111</td>\n",
       "      <td>0.008710</td>\n",
       "      <td>0.008625</td>\n",
       "      <td>0.005472</td>\n",
       "      <td>0.005472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-05-16</th>\n",
       "      <td>0.021811</td>\n",
       "      <td>0.007003</td>\n",
       "      <td>0.002399</td>\n",
       "      <td>0.019654</td>\n",
       "      <td>0.019654</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3428 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                high       low      open     close  adjclose\n",
       "2008-09-15       NaN       NaN       NaN       NaN       NaN\n",
       "2008-09-17 -0.028117 -0.051136 -0.032355 -0.048322 -0.048322\n",
       "2008-09-18 -0.005098 -0.008673 -0.048280  0.046686  0.046686\n",
       "2008-09-19  0.059870  0.061007  0.049168  0.044683  0.044683\n",
       "2008-09-22 -0.014791  0.019754  0.042218 -0.022393 -0.022393\n",
       "...              ...       ...       ...       ...       ...\n",
       "2022-05-10  0.000334  0.006876 -0.005475  0.001190  0.001190\n",
       "2022-05-11  0.003691  0.000018 -0.001261  0.003260  0.003260\n",
       "2022-05-12  0.002289 -0.006236 -0.000533  0.000671  0.000671\n",
       "2022-05-13 -0.000111  0.008710  0.008625  0.005472  0.005472\n",
       "2022-05-16  0.021811  0.007003  0.002399  0.019654  0.019654\n",
       "\n",
       "[3428 rows x 5 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bmvIndexReturns=np.log(bmvIndexDataFrame.loc[:, bmvIndexDataFrame.columns != 'volume']).diff(axis=0)\n",
    "bmvIndexReturns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([<Axes: >, <Axes: >, <Axes: >, <Axes: >, <Axes: >], dtype=object)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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LOH78OD799FPcuXOH1x1CU1to4sSJkMlkvP/Gjh0LADrBCnd3d97fmu5HWVlZAIDk5GQAgI+PD28+qVSq81597OzsYGNjw5tmZWUFNzc3nXmtrKzYYqxCiuI7GpKcnMx2f+Ly8/NjXwfU9WXWrVuHJ0+eoE+fPvDy8kKTJk2MPvxp1kH799G3LlKpVKcwrUgkgo+PD7sumv97e3vz5hPaZkuWLMGYMWPQpEkT7NixAxcuXGAL9gr9PkK/RUFob3srKyuD0w3tEy9fvgSgLtKsj+Y30bctNa+LRCIcO3YMnTp1wsKFC1G/fn14enriyy+/FOwuaWNjY3Q/Sk5O1tkWgO4xJSQjIwOtWrXCxYsX8c033+DkyZO4fPkydu7cCUB3H7azszOpKLup+1JQUBCOHj0KLy8vfPbZZwgKCkJQUBB+/vlno8sX+o5C++Dz58+xZ88eneO5Zs2aAHSP56LQunVrVKlSBatXr8aff/6JESNGCNat4lq8eDHCw8OxefNmVKlSBSNGjNC7L0RHR2PSpEno1asXvv76a6xevRpHjx4tiq9CCCGkFKGaQoQQQsxSvXp1trh027ZtoVQqsWbNGmzfvh19+/aFh4cHAGDatGl6C5hWrVrVrM/UPMAlJibyMjsUCgX74Pc2FcV3NMTd3R0JCQk60zUZPpr1AdR1fIYPH443b97g9OnTmD17Nrp374779+8jICBAcPma92tq+xhbF4VCgZcvX/Ie5hmGQWJiIho1asTOB6gfto1ts7/++guhoaE6w2Lrqxdl7EG5OGh+i2fPnqFChQqC82h+E33bkrsdAwIC2ALV9+/fx99//405c+YgNzcXq1at4r331atXvPfq+2yhAstChaa1HT9+HPHx8Th58iSbHQRAp76Rhqnbx9R9CQBatWqFVq1aQalU4sqVK1i+fDnGjRsHb29vvYWYzTlveHh4ICQkBN9++63gsjQB2KI2fPhwzJw5EyKRCEOHDjU47+3btzFr1iwMGTIE/fv3R0BAAFq0aIEZM2ZgyZIlvHkZhsHw4cNha2uLVatWwdXVFbt378bIkSNx8+ZNODo6FuXXIoQQUoJRphAhhJBCWbhwIVxdXTFr1iyoVCpUrVoVVapUwfXr19GwYUPB/8x9ANEUGt60aRNv+t9//23yyECWVBTfEVBnDwm18rdv3x63b99GREQEb/rGjRshEonQtm1bnffY29ujS5cumDFjBnJzc3Hr1i29nxsQEABbW1s8evTI6DpqRpLSHklpx44dePPmDfu6ptvLtm3bePNt375dZ5uJRCI2c0rjxo0bCA8PN7o+hpiTjVVYHTt2hEQi0QlscTVr1gy2trY6v92zZ89w/Phx9rfTFhwcjJkzZ6J27do6+0B8fDyys7N5BbSFtG3bFunp6fjvv/940zdv3mzwfUB+kEd7G61evdroew0xdV/ikkgkaNKkCX799VcA0Pk9uMw5b3Tv3h1RUVEICgoSPJ7fVlBo6NCh6NGjByZNmsQLZGlTKBQYOnQoPDw82Iyppk2bYsKECfj5559x7tw53vw///wzTp8+jZUrV8LLywsymQwbNmxAfHw8O0ofIYSQsokyhQghhBSKq6srpk2bhsmTJ2Pz5s346KOPsHr1anTp0gWdOnXCsGHDUK5cOaSkpODOnTuIiIjAP//8Y9ZnVK9eHR999BGWLl0KmUyGDh06ICoqih19qjhY+jsCQO3atbF161Zs27YNlSpVgo2NDWrXro3x48dj48aN6NatG+bNm4eAgADs27cPK1aswJgxY9iR30aNGgVbW1u0aNECvr6+SExMxIIFC+Ds7MzLutBmZWWFZs2a4cKFC0bXMSwsDJ06dcKUKVOQlpaGFi1asCNG1atXD4MHDwYA1KxZEwMHDsSPP/4IiUSCdu3a4datW/jxxx/h7OzMG52pe/fumD9/PmbPno02bdrg3r17mDdvHgIDAwsV9KtduzYA9QPx0KFDIZPJULVq1SLJiqhYsSKmT5+O+fPnIysrCwMHDoSzszNu376NpKQkzJ07Fy4uLvj6668xffp0DBkyBAMHDkRycjLmzp0LGxsbzJ49G4A6IPb555/jgw8+QJUqVWBlZYXjx4/jxo0bmDp1Ku9zNdtMKDDINWTIEPz0008YMmQIvv32W1SpUgX79+/HoUOHjH635s2bw9XVFaNHj8bs2bMhk8mwadMmo/VrjDF1X1q1ahWOHz+Obt26wd/fH9nZ2Vi3bh0A9bDs+phz3pg3bx6OHDmC5s2b48svv0TVqlWRnZ2NmJgY7N+/H6tWrTLYNdBS/Pz8sHv3bqPzLViwAFeuXMGBAwfg4uLCTp8/fz727NmDESNGIDIyEra2tuww9AMGDEDfvn3ZeevWrYvp06dj7ty56Nu3L/tbzps3D/PmzcOxY8d4mWGEEELeUcVb55oQQkhpoRlF6/LlyzqvZWVlMf7+/kyVKlUYhULBMAzDXL9+nenXrx/j5eXFyGQyxsfHh2nXrh2zatUqo8sUGu0rJyeH+eqrrxgvLy/GxsaGadq0KRMeHs4EBASYNPqYvb29znpzR/7hCggIYLp162ZwmUXxHWNiYpiOHTsyjo6ODADeSE1PnjxhBg0axLi7uzMymYypWrUqs2jRInaUM4ZhmD/++INp27Yt4+3tzVhZWTF+fn5Mv379mBs3buh8R21r165lJBIJEx8fz5uuPWIUw6i395QpU5iAgABGJpMxvr6+zJgxY5hXr17x5svOzmYmTJigs82cnZ15I0Ll5OQwEydOZMqVK8fY2Ngw9evXZ3bv3q3z2ZoRxhYtWqSz/kKjjzEMw0ybNo3x8/NjxGIx7/fW3sYaAJjPPvtMcNncz9U3QtfGjRuZRo0aMTY2NoyDgwNTr149nXVas2YNExISwlhZWTHOzs7M+++/zxvd6vnz58ywYcOYatWqMfb29oyDgwMTEhLC/PTTT+zxpTF48GCmdu3aOush5NmzZ0yfPn0YBwcHxtHRkenTpw9z/vx5k0YfO3/+PNOsWTPGzs6O8fT0ZEaOHMlERETovFffsaZ5rSD7Unh4ONOrVy8mICCAsba2Ztzd3Zk2bdrwRoPTx9TzBsMwzMuXL5kvv/ySCQwMZGQyGePm5sY0aNCAmTFjBpORkWH0swpC3zmIS3v0scjISEYmkzGjRo0SnD88PJwRi8XM+PHjGaVSyTRr1ozx8fFhkpOTdebNzc1l6tSpwwQEBDBpaWkMw+Rvf+3zHSGEkHeTiGEY5i3HoQghhBBSwmRnZ8Pf3x9fffUVpkyZUmSfc/78ebRo0QKbNm0yeeQrIiwtLQ1+fn746aefMGrUqOJeHUIIIYSUQhQUIoQQQggAYOXKlZgzZw6io6Nhb29f6OUdOXIE4eHhaNCgAWxtbXH9+nV8//33cHZ2xo0bN0wa7YzoN3fuXGzbtg03btzQGWKdEEIIIcQUdAdBCCGEEADAJ598gtTUVERHR7P1eArDyckJhw8fxtKlS5Geng4PDw906dIFCxYsoICQBTg5OWHDhg0UECKEEEJIgVGmECGEEEIIIYQQQkgZREPSE0IIIYQQQgghhJRBFBQihBBCCCGEEEIIKYMoKEQIIYS8BfPmzUONGjWgUqkAAAkJCZg5cyaaNWsGDw8PODk5oUGDBvjtt9+gVCp13p+RkYFx48bBz88PNjY2qFu3LrZu3Sr4WREREejQoQMcHBzg4uKC3r17Izo6Wme+xMREfP7556hUqRJsbW0REBCAjz/+GLGxsSZ/L1PXi2EYLFu2DNWqVYO1tTV8fX0xZswYvHr1yuTP2rhxIwYMGICqVatCLBajYsWKgvMNGzYMIpFI738XLlww+TPNVRTbValUYsmSJejcuTPKly8POzs7VK9eHVOnTkVqaipv3vv372PixIlo0KABXFxc4ObmhhYtWmD79u1mfQ9Tt6u+37patWomf5ap21Xj7Nmz6Nq1K1xdXWFra4sqVapg/vz5vHlat26NcePGmbwOhBBCSFlFlQkJIYSQIhYfH4+FCxdiw4YNEIvV7TFXr17Fxo0bMWTIEHz99deQyWQ4cOAAxowZgwsXLmDdunW8ZfTu3RuXL1/G999/j+DgYGzevBkDBw6ESqXiDe1+9+5dhIaGom7duvj777+RnZ2NWbNmoVWrVoiMjISnpycAICcnB61bt8arV68wd+5c1KhRA/fu3cPs2bNx6NAh3LlzB46Ojka/m6nrNXHiRCxduhQTJ05Ehw4dcPv2bcyaNQuXL19GeHg4ZDKZ0c/6888/kZiYiMaNG0OlUkEulwvO9/XXX2P06NE603v06AFra2s0atTI6GcVVFFs16ysLMyZMwcDBw7EyJEj4eHhgYiICHzzzTfYs2cPrly5AltbWwDA4cOHsW/fPgwePBiNGjWCQqHAtm3b8MEHH2Du3LmYNWuWSd/D1O0KALa2tjh+/LjONFOZul0BYPPmzRg8eDD69euHjRs3wsHBAY8ePUJ8fDxvvvnz5yMsLAxjxoxB1apVTV4XQgghpMxhCCGEEFKkJk+ezJQrV45RKpXstJSUFCY3N1dn3s8++4wBwMTGxrLT9u3bxwBgNm/ezJs3LCyM8fPzYxQKBTvtgw8+YDw8PJjXr1+z02JiYhiZTMZMnjyZnXbkyBEGALNmzRreMjdv3swAYHbu3Gn0e5m6Xs+ePWMkEgnzxRdfCH7Wb7/9ZvSzGIbh/X7dunVjAgICTHofwzDMyZMnGQDMzJkzTX5PQRTFdlUoFExSUpLOMv/55x8GAPPnn3+y016+fMmoVCqdebt168bY2dkx2dnZRr+DOfvb0KFDGXt7e6PLNMTU7frs2TPG3t6eGTNmjEnLrVWrFjNq1KhCrRshhBDyrqPuY4QQQkgRys3Nxdq1azFo0CA2SwgAXF1dBbNjGjduDAB49uwZO23Xrl1wcHDABx98wJt3+PDhiI+Px8WLFwEACoUCe/fuRZ8+feDk5MTOFxAQgLZt22LXrl3sNM1nOzs785bp4uICACYNGW/qel24cAFKpRJdu3blzde9e3cAwI4dO4x+FgDe72eutWvXQiQSYcSIEUbnvXLlCgYMGICKFSvC1tYWFStWxMCBA/HkyROj7y2K7SqRSODu7q53mU+fPmWneXh4QCQSCc6bmZmJlJQUo9/B1PWyFFO365o1a/DmzRtMmTLFpPkHDx6MzZs3Iz09vTCrRwghhLzTKChECCGEFKGLFy8iOTkZbdu2NWn+48ePQyqVIjg4mJ0WFRWF6tWrQyrl9/oOCQlhXweAR48eISsri52uPe/Dhw+RnZ0NAGjRogUaNGiAOXPm4PLly8jIyEBERASmT5+O+vXro0OHDkbX1dT1ys3NBQBYW1vz5pPJZBCJRLhx44bRzyqM169fY/v27Wjfvj0CAwONzh8TE4OqVati6dKlOHToEH744QckJCSgUaNGSEpKKtA6FGa7GlomANSsWdPo5584cQKenp7w8vIyOq+565WVlQUfHx9IJBKUL18en3/+uUnBJ3OdPn0abm5uuHv3LurWrQupVAovLy+MHj0aaWlpOvOHhobizZs3OHnypMXXhRBCCHlXUFCIEEIIKULh4eEAgPr16xud9/Dhw/jzzz/xxRdf8DJDkpOT4ebmpjO/ZlpycjLv//rmZRiGLewslUpx4sQJVKpUCY0bN4ajoyNbnPjIkSMm1fgxdb1q1KgBADh37hxvvvPnz4NhGHa+orJlyxZkZWXh448/Nmn+vn37Yu7cuejZsydat26Nvn37Yt++fcjMzMTmzZvN/vzCblchcXFxmDp1Kho2bMhmXOmzZs0anDx5EjNnzoREIjG6vuasV506dbB48WL8+eefOHjwIIYNG4b169ejRYsWyMjIMPpZ5oiLi0NmZiY++OAD9O/fH0ePHsWkSZOwceNGdO3aFQzD8OavV68eRCKRzn5HCCGEkHxUaJoQQggpQvHx8RCJRPDw8DA4X0REBPr164emTZtiwYIFOq8LdQnS95op88rlcvTv3x9RUVH4/fffUbVqVTx+/BjffPMNwsLCcPz4cTg7O4NhGJ1Rs7gZJKZ8Vp06ddC6dWssWrQIVatWRVhYGG7fvo3Ro0dDIpHwug8plUrew71YLC5UtzFA3XXM3d0dvXr1Mmn+jIwMzJ8/Hzt27EBMTAzv+9+5c8esz7bkdtVISUlhgyDbtm0z+PscOHAAn332Gfr27YsvvviCnW6J7QoA48eP570WFhaGevXqoW/fvvj999/Z1y2xXVUqFbKzszF79mxMnToVgDobyMrKCuPGjcOxY8d4GW4ymQwuLi6Ii4sz63MIIYSQsoQyhQghhJAilJWVBZlMZjBD49q1awgLC0OVKlWwf/9+nW5W7u7uglkjmi46mgwOTRaKvnlFIhFbM2jt2rU4cOAAdu7ciZEjR6JVq1YYMmQIDh48iIiICCxduhQAcOrUKchkMt5/MTExZq0XAPzzzz9o0aIF+vXrB1dXV7Rt2xa9e/dG3bp1Ua5cOXa+oKAg3mfNmzdP7+9mihs3buDKlSv46KOPdH5XfQYNGoRffvkFI0eOxKFDh3Dp0iVcvnwZnp6eyMrKMvmzLbVduV69eoWwsDDExcXhyJEjqFSpkt7PP3ToEHr37o2wsDBs2rSJF8yx1HYV0qtXL9jb2+PChQvsNEtsV83+3alTJ970Ll26AFAH4LTZ2NiYtc0IIYSQsoYyhQghhJAi5OHhgdzcXLx58wb29vY6r1+7dg0dOnRAQEAADh8+rFP4GQBq166NLVu2QKFQ8LI5bt68CQCoVasWAPWDt62tLTud6+bNm6hcuTJbQDoyMhISiUSnW1ulSpXg7u7O1o1p0KABLl++zJvHz8/PrPUCAC8vL+zfvx8vXrxAYmIiAgICYGtrixUrVqBv377sfHv27EFOTo7OZxXU2rVrAQAjR440af7Xr19j7969vGwUAMjJyTGrTo4lt6vGq1ev0KFDBzx+/BjHjh0TrB2lcejQIfTs2RNt2rTBjh07YGVlxXvdUttVH4ZheJlAltiuISEhvEAT97MA4YLVr169MpqlRwghhJRllClECCGEFKFq1aoBUBeB1hYZGYkOHTqgfPnyOHLkCFxdXQWX0atXL2RkZOiM0vXHH3/Az88PTZo0AaDu/tOjRw/s3LmTN+JSbGwsTpw4gd69e7PT/Pz8oFQqdQID9+/fR3JyMsqXLw8AcHR0RMOGDXn/aQIMpq4Xl5eXF0JCQuDs7IxVq1bhzZs3+Pzzz9nXa9euzfuswgSFcnJy8Ndff6Fx48YmBTIAddcohmF0snrWrFmj091KH0tvVyA/IBQdHY3Dhw+jXr16ej//8OHD6NmzJ1q2bIndu3cLZkhZertybd++HZmZmWjatCk7zRLbtU+fPgDUXeK49u/fDwC8zwPUXTezs7PZmlaEEEII0UWZQoQQQkgRCg0NBaAelp2b2XHv3j22/sm3336LBw8e4MGDB+zrQUFB8PT0BKDuHhMWFoYxY8YgLS0NlStXxpYtW3Dw4EH89ddfvK5pc+fORaNGjdC9e3dMnToV2dnZmDVrFjw8PPDVV1+x8w0fPhw//fQT+vTpg5kzZ6Jq1aqIjo7Gd999B3t7e4wePdrodzNnvX7//Xf2e6WmpuLAgQNYu3YtvvvuO5OKcAPA7du3cfv2bQBAYmIiMjMzsX37dgDqYtbaD/+7d+9GSkqKyVlCAODk5MTWP/Lw8EDFihVx6tQprF27lu16Z0hRbNesrCx06tQJ165dw9KlS6FQKHgZM56enggKCgIAnD17Fj179oSPjw+mT5+OyMhI3vrVqFEDTk5OBr+Dqev15MkTDBo0CAMGDEDlypUhEolw6tQpLF26FDVr1jT5dzd1u3bs2BE9evTAvHnzoFKp0LRpU1y5cgVz585F9+7d0bJlS95yNb+RqSP/EUIIIWUSQwghhJAi1apVK6Zr1668aevXr2cA6P1v/fr1vPnT09OZL7/8kvHx8WGsrKyYkJAQZsuWLYKfd+XKFaZ9+/aMnZ0d4+TkxPTs2ZN5+PChznwPHjxgBg8ezFSsWJGxtrZm/P39mf79+zO3bt0y+buZul6rV69mqlevztjZ2TEODg5Mq1atmN27d5v8OQzDMLNnz9b7e82ePVtn/rCwMMbe3p5JS0sz63OePXvG9OnTh3F1dWUcHR2Zzp07M1FRUUxAQAAzdOhQg+8tiu36+PFjg8vkrpOh3wgAc+LECZN+A1PWKyUlhenVqxdTsWJFxtbWlrGysmKqVKnCTJ48mUlNTTXpc4yts/Z2zczMZKZMmcJUqFCBkUqljL+/PzNt2jQmOztbZ7mDBw9mateubfJ6EEIIIWWRiGG0xu8khBBCiEXt2LED/fv3x5MnT3hFlQkhRSMtLQ1+fn746aefMGrUqOJeHUIIIaTEoqAQIYQQUsQYhkHz5s3RoEED/PLLL8W9OoS88+bOnYtt27bhxo0bvGLZhBBCCOGjQtOEEEJIEROJRPj999/h5+cHlUpV3KtDyDvPyckJGzZsoIAQIYQQYgRlChFCCCGEEEIIIYSUQZQpRAghhBBCCCGEEFIGUVCIEEIIIYQQQgghpAyioBAhhBBCCCGEEEJIGURBIUIIIYQQQgghhJAyiIJChBBCCCGEEEIIIWUQBYUIIYQQQgghhBBCyiAKChFCCCGEEEIIIYSUQRQUIoQQQgghhBBCCCmDKChECCGEEEIIIYQQUgZRUIgQQgghhBBCCCGkDKKgECGEEEIIIYQQQkgZREEhQgghhBBCCCGEkDKIgkKEEEIIIYQQQgghZRAFhQghhBBCCCGEEELKIAoKEUIIIYQQQgghhJRBFBQihBBCCCGEEEIIKYMoKEQIIYQQQgghhBBSBlFQiBBCCCGEEEIIIaQMoqAQIYQQQgghhBBCSBlEQSFCCCGEEEIIIYSQMoiCQoQQQgghhBBCCCFlEAWFCCGEEEIIIYQQQsogCgoRQgghhBBCCCGElEEUFCKEEEIIIYQQQggpgygoRAghhBBCCCGEEFIGUVCIEEIIIYQQQgghpAyioBAhhBBCCCGEEEJIGURBIUIIIYQQQgghhJAyiIJChBBCCCGEEEIIIWUQBYUIIYQQQgghhBBCyiAKChFCCCGEEEIIIYSUQRQUIoQQQgghhBBCCCmDKChECCGEEEIIIYQQUgZRUIgQQgghhBBCCCGkDKKgECGEEEIIIYQQQkgZREEhQgghhBBCCCGEkDKIgkKEEEIIIYQQQgghZRAFhQghhBBCCCGEEELKIAoKEUIIIYQQQgghhJRBFBQihBBCCCGEEEIIKYMoKEQIIYQQQgghhBBSBlFQiBBCCCGEEEIIIaQMoqAQIYQQQgghhBBCSBlEQSFCCCGEEEIIIYSQMoiCQoQQQgghhBBCCCFlEAWFCCGEEEIIIYQQQsogCgoRQgghhBBCCCGElEEUFCKEEEIIIYQQQggpgygoRAghhBBCCCGEEFIGUVCIEEIIIYQQQgghpAyioBAhhBBCCCGEEEJIGURBIUIIIYQQQgghhJAyiIJChBBCCCGEEEIIIWWQtLhXoDioVCrEx8fD0dERIpGouFeHEEIIIYQQQgghxCIYhkF6ejr8/PwgFhvOBSqTQaH4+HhUqFChuFeDEEIIIYQQQgghpEg8ffoU5cuXNzhPmQwKOTo6AlD/QE5OTsW8NqQ0kcvlOHz4MDp27AiZTFbcq0NKGdp/SGHRPkQKg/YfUhi0/5DCon2IFAbtP+ZJS0tDhQoV2NiHIWUyKKTpMubk5ERBIWIWuVwOOzs7ODk50cmImI32H1JYtA+RwqD9hxQG7T+ksGgfIoVB+0/BmFIuhwpNE0IIIYQQQgghhJRBFBR6h2TLlfh4w2VsDI8p7lUhhBBCCCGEEEJICUdBoXfIP1ee4tjdF5j1763iXhVCCCGEEEIIIYSUcGWyptC7Kj1HUdyrQAghhBBCCCGEmEWpVEIul+t9XS6XQyqVIjs7G0ql8i2uWcllZWVldLh5U1BQ6B0igvEiUoQQQgghhBBCSEnAMAwSExORmppqdD4fHx88ffrUpOLJZYFYLEZgYCCsrKwKtRwKCr1D6NgghBBCCCGEEFJaaAJCXl5esLOz0xvwUalUyMjIgIODg0WyY0o7lUqF+Ph4JCQkwN/fv1CBMgoKvUMoJkQIIYQQQgghpDRQKpVsQMjd3d3gvCqVCrm5ubCxsaGgUB5PT0/Ex8dDoVBAJpMVeDn0a75DKFOIEEIIIYQQQkhpoKkhZGdnV8xrUjppuo0VtsYSBYXeIVRTiBBCCCGEEEJIaUI1ggrGUr8bBYXeIXQsEUIIIYQQQgghxFQUFHqHUISVEEIIIYQQQggpWqGhoRg3bpze10UiEXbv3m3y8k6ePAmRSGR0FLaiQIWm3yEUEiKEEEIIIYQQQopXQkICXF1di3s1TEKZQu+wJ8lvkJVbuKJThBBCCCGEEEIIMZ2Pjw+sra2LezVMQkGhd4iYkyp0/Wkq2iw6iU5LTxffChFCCCGEEEIIIe8glUqFyZMnw83NDT4+PpgzZw77mnb3sfPnz6Nu3bqwsbFBw4YNsXv3bohEIkRGRvKWefXqVTRs2BB2dnZo3rw57t27V+Tfg4JC7xBuTaH9NxMAALEpmcW1OoQQQgghhBBCiMkYhkFmrkLwv6xcpd7XCvsfwzBmr+sff/wBe3t7XLx4EQsXLsS8efNw5MgRnfnS09PRo0cP1K5dGxEREZg/fz6mTJkiuMwZM2bgxx9/xJUrVyCVSjFixAiz18tcVFPoHcKtMy0RU4UhQgghhBBCCCGlR5ZciRqzDr31z709rxPsrMwLj4SEhGD27NkAgCpVquCXX37BsWPHEBYWxptv06ZNEIlE+P3332FjY4MaNWogLi4Oo0aN0lnmt99+izZt2gAApk6dim7duiE7Oxs2NjYF/GbGUabQO4QbBhLTSGSEEEIIIYQQQkiRCAkJ4f3t6+uLFy9e6Mx37949hISE8AI7jRs3NrpMX19fABBcpiVRplAplpWrhFylgpONTD2BEwiimBAhhBBCCCGEkNLEVibB7XmddKarVCqkp6XD0ckRYrHlc1tsZRKz3yOTyXh/i0QiqFQqnfkYhuGVetFMM7ZMzXuElmlJFBQqxerOO4wchQq35naCvbXUpCHpT957gbjULHzYJKDI148QQgghhBBCCDGVSCQS7MalUqmgsJLAzkpaJEGholStWjVs2rQJOTk57IhkV65cKea1yle6fk3Ck6NQRwwfvcwAwM8O0hcgGrb+MmbsikJU3GuLrYdCqcKNZ6lQqswvzkUIIYQQQgghhLyrBg0aBJVKhU8++QR37tzBoUOHsHjxYgDQySAqDhQUegdogjEiTijIWHjmeVq2xT5/xq4ovPfLOSw5UvTD5RFCCCGEEEIIIaWFk5MT9uzZg8jISNStWxczZszArFmzAKBIC0ib6q0EhVasWIHAwEDY2NigQYMGOHPmjMH5T506hQYNGsDGxgaVKlXCqlWreK9v2LABIpFI57/sbMsFOkoTTYIOwwkFGSs0LRaJcONZKp69KvyQ9duuPAUA/HriUaGXRQghhBBCCCGElGQnT57E0qVLedN2796NDRs2AFDXDOrZsyf7WvPmzXH9+nXk5OTgypUrUKlUkMlk8Pf3BwCEhoaCYRi4uLiw76lbty4YhkHFihWL9LsUeU2hbdu2Ydy4cVixYgVatGiB1atXo0uXLrh9+zb7A3A9fvwYXbt2xahRo/DXX3/h3LlzGDt2LDw9PdGnTx92PicnJ9y7x89MKQlRtreFW5hK829urSpjQaHYlEwM33AZABDzfTfLryAhhBBCCCGEEEKwceNGVKpUCeXKlcP169cxZcoU9OvXD7a2tsW9akUfFFqyZAk+/vhjjBw5EgCwdOlSHDp0CCtXrsSCBQt05l+1ahX8/f3ZqFv16tVx5coVLF68mBcUEolE8PHxKerVL7G4ASBG6/8AIDGSA3Yr3nI1hQghhBBCCCGEECIsMTERs2bNQmJiInx9ffHBBx/g22+/Le7VAlDEQaHc3FxcvXoVU6dO5U3v2LEjzp8/L/ie8PBwdOzYkTetU6dOWLt2LeRyOTtEW0ZGBgICAqBUKlG3bl3Mnz8f9erVE1xmTk4OcnJy2L/T0tIAAHK5HHK5vMDfrzhxizrn5n0PpULBTmM4w9ZpvqNQdhH3dUsorb+nqTTf713/nqRo0P5DCov2IVIYtP+QwqD9hxQW7UNEm1wuB8MwUKlURoddz+8dwxT5EO1FYeLEiZg4caLO9MJ8F5VKBYZhIJfLIZFIeK+Zc5wVaVAoKSkJSqUS3t7evOne3t5ITEwUfE9iYqLg/AqFAklJSfD19UW1atWwYcMG1K5dG2lpafj555/RokULXL9+HVWqVNFZ5oIFCzB37lyd6YcPH4adnV0hvmHxUTKAZvOFh19E0m0GUYkiAOqd4cH9e+y/9+3bD5FIU3tI/Z6nT59CU1Jq//79hVyb/N2o8MsqHY4cOVLcq0BKMdp/SGHRPkQKg/YfUhi0/5DCon2IaEilUvj4+CAjIwO5ubkmvSc9Pb2I16r0yM3NRVZWFk6fPg0FJ0EEADIzTa8dXOTdxwDdYdYYhjE49JrQ/NzpTZs2RdOmTdnXW7Rogfr162P58uVYtmyZzvKmTZuGCRMmsH+npaWhQoUK6NixI5ycnMz/QiWAXKnChAtHAQCNGjdG8yB3pFyMxfbHdwGou939F3sfANCpc2dIJWL1EPZ57/GvUAEXXsQBALp27Vqodflf+GH239xlqVQM1p1/gvr+Lqjv71Kozygp5HI5jhw5grCwMDZrjRBT0f5DCov2IVIYtP+QwqD9hxQW7UNEW3Z2Np4+fQoHBwej9YEZhkF6ejocHR1LxDDuJUF2djZsbW3RunVrnd9P0zvKFEUaFPLw8IBEItHJCnrx4oVONpCGj4+P4PxSqRTu7u6C7xGLxWjUqBEePHgg+Lq1tTWsra11pstkslJ7QlKJlOy/xRIJZDIZRKL8QkIyaX76mEgihUwmgYLJfw9vXgv+Btxl7br2DD8cUgem3rVi1qV53yHFj/YfUli0D5HCoP2HFAbtP6SwaB8iGkqlkg3wiMWGi+JqulmJRCKj85YVmlHYhY4pc46xIg0KWVlZoUGDBjhy5Ah69erFTj9y5Ajef/99wfc0a9YMe/bs4U07fPgwGjZsqPeLMQyDyMhI1K5d23IrX8LxCk0zuq9zRx/T1B9SCs1YRF5nynE73vToJCGEEEIIIYSQssPKygpisRjx8fHw9PSElZWV3iwglUqF3NxcZGdnU1AI6hjIy5cv2aBQYRR597EJEyZg8ODBaNiwIZo1a4bffvsNsbGxGD16NAB11664uDhs3LgRADB69Gj88ssvmDBhAkaNGoXw8HCsXbsWW7ZsYZc5d+5cNG3aFFWqVEFaWhqWLVuGyMhI/Prrr0X9dUokTbCHG/IRc44lhSYoxClOXZQZd4dvJeKTP68W3QcQQgghhBBCCCnVxGIxAgMDkZCQgPj4eIPzMgyDrKws2NraUvexPCKRCOXLl9cpMm2uIg8K9e/fH8nJyZg3bx4SEhJQq1Yt7N+/HwEBAQCAhIQExMbGsvMHBgZi//79GD9+PH799Vf4+flh2bJlvOHoU1NT8cknnyAxMRHOzs6oV68eTp8+jcaNGxf11ykx+JlCjM40MScqtOZMNCaEBUOlejuZQt/su/NWPocQQgghhBBCSOllZWUFf39/KBQKKJVKvfPJ5XKcPn0arVu3pu6HeWQyWaEDQsBbKjQ9duxYjB07VvC1DRs26Exr06YNIiIi9C7vp59+wk8//WSp1SuVVJwIkGYUO30hn+XHH6JpJXcEezsKvm6s8LcxYnZkM0IIIYQQQggpGq+z5HC2LT0BAYZhEPk0FVW8HeFg/VYevUslfXVxuCQSCRQKBWxsbCgoZGHUGa+UYgT+zfACRfwoTdyrLH4giffvgq9HROyrtxIQ+unIffRacQ5Zufqjx4QQQgghhJB305Ij91Fn7mHsuW64m1FJsvdGAnqtOI8+K84X96oQohcFhUopbgBIKRCV0Zkk4s+nVHHnNS2qw2jN9zjpDXq/pRPcz8ce4FpsKrZHPHsrn0fefQzDYMnhezh8K9H4zIQQQgghpFgtO6Yeafrrf6OKeU1MtyPv2eXe8/RiXhNC9KOgUCnFyxQSqCkkEBPSCgqpOP82HhRKfJ2N5t8fx89HH7DT7iXqji7WffkZxKZk6kx/8DwdMUlvjH6OMbkKlfGZSrm/LjxBl5/P4HladnGvyjvt6J0XWHb8IRVFJ4QQQggpRUpTiWGFkmpskJKPgkKlFMPL9MmbxgkFaWf1iEQiflDIyJD22lacfIiE19n46eh93jK1RcUJD0Mf9tNphC4+qbNe5irs+02Ro1Bi88VYPHulG9x6G2bujsKdhDQsPnSvWD6/rEikoBsh74TPNkVg8NqLb+X6QAghhJgjV6nboH0wKgHbr1LvB1JyUFColOIGgDTdv7gJP9pdwkTIH7oe4NccMqX7mFggAFSQKL1cqclqYvDtvtv488KTAiylaP16/CGm77qJDktOFet65JSBrKjixN1/fzn+AF1/PoP0bHmxrQ8hxHxypQr7bibgzIMkPEkunkA+IYSQt0uoYTorV4mouNclroFAIRAUGv1XBCb+cx0Jr7OKYY0I0UVBoVKKEQgAGSoeLRLpDwSdefCS7ZYldOICAJlE9+QrFCgyZsP5xwCAiNhU/H7mMb7eXfL6BJ95mAQAyJYXb1BGIi5NybGl2+LD93E7IQ1/nI/ReS3hdRai4l6//ZUihBjFvZaVrMcAQkhpl5mrwJZLsYilgHOJI3SL/NHai+i+/Cz+jSxZRajlnO4ZJ+6+4D2PvXqj2xh5K/51qSqkTd4NFBQqpfg1hfj/1/43oA4KKfUUpx79VwS+238Hr97koumCY5j4z3Wdz5NJdHeVgoxi/93+u4iIfYVXb3LNfzNM6+pWWAUJdhWFErIa7yyh31coO6vZguPovvws4lL5rTl/XniCn47c15mfEPL2qCihstBuPEvFgN/CceNZanGvCiElyu5r8Zi28yZaLzpBjUMFlJGjKPA9v2G6N3FXn7wCAPxz9SkAYNrOG+iz8rzeBu+3Rc75/OEbLuM/TsBHqLdGt2Vn8cWWa7gYnfxW1o8QgIJCpZbQ8PKMniHnAUAEfk0h7dc3nI/BzmtxSMrIFezjKhQUKmjwpPeK81AUcBx7pgjagtOy5bj6JIX9/UpKLEZCUaG3TvvanJGjYP/9jFNAnWEYfL07Cj8fe4BHLzPe1uoRQrRwGzvojKnreVo2JmyLROTTVL3zDPr9Ii5Ep6DvyvC3t2KEWMiOq8/w++noIll2alZ+MONKTEqRfMa7rs7cw6g3/wjecO6nLCEpIwcv03MEB8uxlUkAAFsuPcXVJ69w6fHb2XYHbiagx/KzOgPryLWCUifvvWD/baiEx30arYy8RRQUKqW45xDNCVHFyxTSLjTNzw4SCsoI9BBjWUktkymU//mGo/Y/HLyLuXtuAeB/F80/H73MsFg/3J6/nkOfleHYeyMBQMnJ0NF0H8tRKIt5TcoO7aDj66z8tF4HGyn7b+7xk1PM3QxJ0Th9/yVm7LqJbDkdfyWZKaNnlgbZciV6rziHBQfuWHS5k7bfwM5rcej56zm982iC30LFUAkp6b765zq+3X8H0UXQQKPSM0DL28AwTKm//uQqVOw5+rEFRiDW1ujbo/hozUUcjErACU6gxUYm4T8HvaX7+jGbInAz7jWm7LjBmy7X2nnEnL5v78glrFQ4ce8FBq+9iPhUquMkhIJCpZRwoWnd4AkX9+b55L2XOq8bqmEjVFNIqMibqbgP29oBrGy5EitPPsL6czGIT83SOWEmZeSg/Y+n0GzB8QJ/Plf0S/WFau8NdTqnqIS0N4tEIvxz5SmqfX0Qh24lWmSZ2XJliSvAV1yEtvOvJx7xUsS5N4Tcn417oyZ0bJDSb8i6S9h0MRa/nngo+LrKwndyDMMgOSPHpHmTs4GVp6J551FTP+Ndw90OJSWgXxAHoxIREZuK1acsm/HwOMm8B+XSFmRjGAZJJh43BV3+7H+jsPVSbJF9BrGMV5mWHyiC2wCk5DRmHoxKQMWp+7DmTNFkKAHAtJ03UX3WQTxJtnwwRZ8/LzzB/L23Ba8VKW9yze5impmbnx1UVKUZwqOTMfqvCAxff5mdZiOT8LadVCyGSsXg1P2Xb6UboPa1Wbv7GrcngKFModJ1Ni75hq+/jDMPkjB1502T5g9/lIxrsa/YurvvOgoKlVa8TKG8Sbzi0/zZRSKR0VHGJOL83UH7ALDidB/TnNwKUweZO9y6oZvQHIWKl3aZli3H/UTD6ZQPX6QX6KQv1XzHEvJgIRGrW3kZBvj0z6uFXt6L9GxU+/ogBq+9ZIG1e3d1X34WPx99AIZheDcVKoZBerYcL9KyebWHxGW0IPiiQ3dL5OiBlrYvL4OQ668LT1Bn7mFci31lsc+ZvisKDb45itP3Xxq9Afk5SoIlRx9iuok3NgDw4Hk6Gn17DOvPPS7sqpYoSiONIaVFUWXpmNLIwW0Q+mTjlSJZj6IyefsNNPzmKE7cfaF3ngfP0zFt580CtQ6fuv8Sf4Q/Mfkhgrxd5o6kay4lLyik/n9athyj/4oAAHyzT53Zt2D/HYz566pFA+9bLz8FwwC/F2HgSdvXu6Ow9uxjXHmie21rs/AE3vvlnFldsd7k5jegvc2As0wi5t2nScQinLr/EkPXXUL35WdxK/7t1ofK1coU4p5zDTUwFcc1rbQ1DBRErAmBVpWKwcDfL6DXivNlZmRiCgqVUtxjdt7eW8hVqIzUFMq/oOnDLRuUlctPWZVxuo/lskGhgj8Mc1t0DNUXUqpUvBPUryceYR3noUb7ZMowDDosOY3uy88iNdN4YTvubybNO0mXlEd8S7eq7M97uD2bN7paWWfo5/3p6H3suZHAaxlUMeq+8Y2/O4aE1Gx2+ruYfWHM7fg0/HriUYkcPdDSogVS3mfujkJ6jgKTtt8QeAcwY9dN9Fsdblbr0pa8TITPNkeg+qyDbPdZIa/l6p339H3djE99Zv17C0kZOZi757bJ7ykNivqhsDipVAz7/R69zMCQdZd06ppsDI9BhyWn9AY8TIlZW3Ou78cMBFdKon/yaiAuPfZA7zw9fz2HLZdi8cWWa2Yv/0V60WUhkcLjZ/JY/vjXbhgCgDSBDM3Vp6NxICrRYO2ugkrPtmwtHlMkZ+jeP6fndTM9eue5ycvh1hHKysuwzlGoYE6ve5WKMfs+SyLmN25LxSJe9zXuPZwlvEzPwc6I/Hqs2j0ptEtmcBsTS0oQ5tLjFHy84TIafXsUL9+R897BqERM33UTT1P4oweaMrp0FqdHgK2VxOLrVhJRUKiU4nYfy5arsDE8xmBNIbFIZPTEww0avcnlX4RknCwiTQ0VS4UsPlxzkTcyAXfVFSoGCq0I+9E7+Tetcq0TLfcC3nnpGaw+9QgAEBX3GoN+v4Dzj/gBka//zX+oleZ9x8LGYiwVJLB0UKgw3f0MmbbzBub8p/8BFlDXrDCla0xcahZepFv2Yl1QX265hj/D8zNhVAzDHmNXnuQ/mBW0aHpxeZ6WjXY/nixU2nsap9XE0t2oCuvwrUT8VYAMpqxcJQ7dSuSluxsjVAxepWKw6WIsLj1O0TnfbL4Yi6HrLhn8jPRsBZQqBuvPxRj9fKHR8vQxVsettFIaaAwxR0zSm2IfoYZLpWLQa8U5vP/rOahUDEZtvILT91+i7yp+MehZ/97CwxcZWKJnJERTMhltZKbd8Bbk4extkRr4nppshYJkEJeVbgOlFW/QlSK4FikFgk6GDoGi2F8y3lJQiHtsG8pcNOc7ageFlCoGLReewowrEsHzLcMw+Gbvbaw7q278zcpVou2PJzFs/WWzzj1ikYhXj1OuVGHe3vwGkRvPUjF+W6TOqLKAurhzhglFsbPlSmy7HIvE19n4YNV5TPg7f+Rm7bORXOs343cfy5+empmLn4/mB7gtcb7NyFHg7ytPDY4AF/k0Ff1Wh+PY3RdIeZOLTRd176FepGejw5JTRdplkuvB83T8Gxln9m9w7M5ztkD34sP3sPliLHr8cpY3T7YJtVozOckRNlIKCpESTPsYeZqSyQsUaR9C2oWmheRyDpJMrUwh7hlO8yBiqSDD1SevsOhwfncy7kVeqWKQnqM/bU+hZJCWLceua8+QkaPgPSQlpmVjwYG7SHmTi+7Lz+L8o2QsO/aAd7L/60J+nYAdEc+w+WJsgWsK5SpUyJYr0fGn0/iKc3EoKEM1njRepGVj7p5bJo2AVRS9nF6kZWPLpafYcD7G4MgS9ecfQYNvjuK1gT7/b3IUaPH9cTT+9phFLoR7b8Rj8aF7Ovv9hehkHIxKMGkr/8EJCnHXidulUali8Mf5GDYAyTAM/gyPwc1nhh9AXqbnYPj6SzhmRqubJfx05D6iX75h094Lq6QVp/3kz6uYuTsKD1+YN2rHjF038emfVzFhm/rYtee0DOk7d8qkunsRN2CWpnUzP33XTZy6/xJrzlimC1dJ++2LmqYmBDfAzB9VU/c9EbGvcDs+zeBy/42MQ+jik/h8Mz+TpDiLvL5Iz8H1Z69xM+410rLlbO07ffQ9EJvSuGAtMJCE0PJ7rTiHvqvCS1wgGDDteqkdOJIrVTjz4KXBaxf3AdjYdenhi3TEJmcanIeoqVQMZuy6WaAAPhcvU6gIApbcRklTgkIaF6OTzcrkNORtZQpxz6WGAj/mXHfe5OSfQ5ccvoeMbAVSs+TIUYrwUiAb6XZCGtacfcwGcB4nvcGT5Eycuv8SCa9NbzAUi0S877D0KD+TcNnxh9h1LQ5fbI7gTb8Sk4KOP51Gt2VnwDAMouJe6z0/LDlyH1N23ETfVecRY+S4z9S6lvC6j3F2qDn/3cJPR/MD/JbYo6ftvInJ229glIGuwdr7qtDgQkuPPsDDFxkWu3c0Juyn0/jf1kgc15O9GpP8Bl/9fR0PX+Q//9x4loqP/7iCjj+dBgD2tVStZw9Tru2aHjO2MkmZKRNBQaFSSuhEwb1PE+w+ZuRKxg2ocFuyLz1OwXVOSqwm+m7JxBNuqiJ3LZUqxuAFUaFkMGNXFMZvu44p228IXsjqzz/C/vtCdApqzT6EF2nCF5fpu24W6HstOHAHVb8+gN9OR+PBiwzs4KSRFpT2TW5WrlLnhvN/WyOx/lwMehkYWUaDG8SLfplhkeLV3G2lPeQml2a7RBnox/2cs03MyYDQ5/PN1/DLiYfYeplfIHTAbxcw+q8IwRYiQ7hfj3us/Xz0AWb/dwsLDtxFfGoW9t9MxNf/3tJpmdA2Z88tnLj3Eh//8XZreBhr5Vt39jF6/nrOYBFjfUW3CytXocKWS7E6qb4F8SLNvPTnndfiAAAH844LT0dr9rVEPecLmUT3EprEudH9/XQ0b+hZjRQDLXZFxdRgN8MwxbJ+pth5LQ5D111Ct2X5xxY3AUrzUJOamYuHL9LxIj0bvVecR9dlZwwud1VeceeDnHPiibsvUGPWQfxxPsZyX8AM3MYLU7adtUz4ds6Ue1ntTKFsuVIn8JOaJcf1Z69x9ckri3apstS+ZihTSEP7mrr61CMMXnsJn3EeDBmGwYl7L9iMVe4DcK5S3U1fu3s9ALzOlKPDktNovehEic2mspS4N0BOIc/7l2NSsOliLGbujirU76UUCNpYErcLORsUMvCozkBdc67/bxcwZN0li+zf6RYeyl2fbM69gcGgkDmZQpxnievPXuPpK8PXdu79hFLF8O4rzbnXeJ0lxz1O/VF9ZRNuJ/AbDA7fVjfSPUnOxLE7L9B9+Vm8r+f+WlNv8Nkr4XtJzchr+24kGAwkqhgGvxx/gO7Lz+CE1iBA2r+1SsVgwrZIthESAO4kpGHzxVi9wfo919WD6GjXiUrPlrPHnvb9nlBmDPf3X3jwLrZdfjvF92/oaWAdufEadkQ8w4Df8rNnbxloAOLvS8b34Uy5et+1KyNdxwAKCpVa2gf/H+FP8OB5frRU6PncWOse90FcE91PeZOLfqvDselirM58luzelMhpAdDJFDIQFJKrVOwJb9/NBN5yDNGc+IUU5GutPhUNhoHeFP6C0F6PzzdHoPWiE7jK6boUkVfoVpORcDcxTfCGVXt57X48hU//vKrTveVOQprezJVnrzJx+FYi7waOu4o5ChWeJL/BhnOP9V689a0bkN99DxDIVCuEJ5xAGnfdzR2xhntxPv8omf03d19KzsjFnQTDWQn562X+iCIKpQr9Vodjip5aNsYoVQyvxWP+3tu4rFWjZN7e24h8msq76dBZD86Nco5ChZfpOdh9LQ6/nX4EhmFMSr3WeJOjwIxdN3H+URJ+PxONaTtvsq08+sSlZuGqQCFM7kOBXMXgZXpOgYNW3LOlZlvdSUhD6KIT7HRut1oNbgHLm3GvMYwzIoqGJYKeZjPxvDZjdxTqzz+CU1othxGxrzDgt3CTu+D8feUpZv8bVaisklyFCuceJrHbUFPYnBukUwg8tLVaeAIdlpzGoVv5x6ah9RD6aYZvuAwVA8w20jW2qHBbp03JgLDWk95u7DqtUKp4A0kA6tppwzeo99vDtxLx4Hk677qc/KZwQSGVisHG8BjM23Mb9ecfwTID9YBMZVKmkNb31NzXcEdj/e96PIavv4z2i08B4Hf7yFWoMPGfG6g3/zCeaT3cchsZDD2YlHb7byZi4Q0pJu0oXD057h6dllXwoIeh7qNRca/RZtEJHLipO1iAqYQykbRPJdxzS/ijZMzk1Np7rqdBwRwZBrLlNRYfuoeRf1wxOzD26GUGouJeY8SGy5j0T36GO7fngPb13Jzrl3ZXaW7GhlAwkNvQkqNQ8h7kzclQ2nUtDp+YMEBLrkKFq09esffSDtZS9jVNxs7DFxn4/sBdnfcaureQK1Vo/v1x9F55nhd01uAGo7ZeforFh+8jKi5NJzizQOtzzz9Kxs5rcVhw4C77+3X5+Qym77qJb/cLZ/AInRsvPU5B7TmH2e+lnUmjr5FBY8XJR5iyg198n2EYvEjLxq8nHvKehTTTLe1JXuOhpiEuJukNdlzNb5A/fpf/LGNuHSnNc0hZqScEUFDoncIt/qZ9shWJwOtfK4T7elZehFQoyMLWFLJgptDNuNfYnHeDxh9FjTFY9V273pCxFmENQzeQxroamMrYxdnYw5L2zbymAOjPxx4KXkxP3nuBzkvPYNCaC/g3Mg4Xo5N5rws9HGh/1y4/n8HHf1wR/A1aLzyBT/68ig/XXMR3++9g4cG7vBumHLkKoYtPYs6e21h7Vrh7TJaBiyj3hs7QfIWhPRqFOXKV+eukLy1cuxaXxpz/buG9X86yravnHyUjKi7/NxYKcAi5HPMKlx6nYNuVp3rn2X0tDl9uuaZzwzJ+WyRafH+cF5hbe/YxPtCqUaJhaHhfbivL8uMP0Ojboxi3LRLf7b+LLj+fQa3Zh3gpvfnvU+LBc363rp+PPcCmi7EY9PtF9nc1tv1bfH8cfVae19lPuTeQz9Oy0fi7o+i8ND/ApFCqgwyGuotocI9fTWHR8dsieWni2i3Gl2NS8L+tkTrLepL8Bj8czL+503Q1/d/Wa9idl6FUUmjOw0s4XXoB4LNNEbgQnYI+K8+btJzJ22/gj/AnOP3AtC4UmbkK/Hb6Ee9h+6ej9/HhmouYskMdBL0uUMSVe95gGPVvq2lI4I5IpV1/riR7oFXTwpQHPX1dwAwFhXIUSrT78RTuaR2TOQoVTt1/icinqfjkz6sI++k071prqBuwKbZHPMOsf2+xg0YYaky5/jQV4Y+S9b6uUZBMIScbmc48mgCRJjsjRysotCPiGbLlKl7Xc4B/Lui+3HCWaEmgUjEFyqz54ZB6Wx3gBFx3X4tjC+UD6uvK0HWXeNegx0lvePs0d1ukmTGyT7Zcybv/4QaF07MVbPftq09SMHZTBJ4kZ2LMpgisPfsYo/+8ajADVgiveyrbfYz/u3Hvg+4LHEvmmP1vFEb+cYVXtPhpShZaLTyOXdf0Z6D/cuIhjt55jgvRxo8VjSsxKWj/4yl0X34Wx+++wIGo/ExJTVZcg/lHUGv2IfwbmX+d2nM93uRukhk5/Gu5drbGtJ03eAEX7n6RLVfxAkE55lSnNpGKAfqsPI/eK84jW67kBYW4wd1VAo1khoJCD15kICkjR/CaBYA3gpvQCKf6cO+NGn17DGcf5Dfsrj37WHD7C9U+nLxdHQBcfToaE/6ORGIaP9tJqJHBWMbqokP30Pi7Y1h06B6WHXvAZltO3XETjb87hoNR+d9TaUZ9OgbAL8cfYMBv4QYHEApdfJKXDTVSKwtfqEucIZp7ZcoUIiWesWNJ++XRf0WwQ2jqwz3hZuQocSchTac1DMgPHlk6Q3r6rpvqFh3OcnPkKsOZQkoVr/aHqYROkhpCD8NypQq5ChUychQ4mSDS2/rDvedMeK2/e9KGc49RZ+5h3HiWypvOPUlKRCLB1P/T918iZO5h/H2ZHxjQ9M2/FpuK/22NRP/fLgBQZy48T8sWPJ3b510A91yP5z3szdlzC9F5dYo0N2ya+57zj5Lx2+lorDj5iHcxy1Yo2X2Cm03ADX5lyZXqB42NVxCjNaoT92ahxffH2Yvm6fsv0XzBMZwQ6IbDdTkmBS1/OI7h6y/pHW6Ue4MhFcjyMMSUlOnMXIVgavmG8zG48ew1jt97iRdZwNAN/BasPivPo+LUfTpZO0LL1/hsU4TgBXLctkj8dz0eWy/xH1p2XYtDYlo29gm0mmqWy91WhoLI3PXQfji6m5eyLdTtZuHBewj76TQv7Zh7E23uKeXPCzG82kHc7Rv5NBUMA8QkZ7JBoNWno/HhmosY/ZfxFkQl77dQL1c7g+1yzCvevv7L8YeCy2qz6CRWnsy/qcxVqrDpYiz+jYzHuG2RRtfFVAqlCr+eeMi7Eb2TkIbd1+Lg6ZDfHU5fwcmDnIeC689e89LvNd0gtLsZ91sdjl9PCH9vABi2/jIvu1GfCduu47v9dzF2UwRG/nEZf19+yv5m/0bG630ft/FYqdW1hx/YU2D+3tv46u/rWJ8XjHj4Ih1JGTk6DRzc46Cci63RdS8MoeMs7KfTvEYeTTasofda6ykWbeg09/BFBmINdNXkZjNyH0bMyQQUIhTkef/XczqjgzEMg/d/PYeBv19gu5jnKlSIinut06hyM+41chRK/HXhCQ7fSkT0ywyd31Y7cFTONX/bah7wtLNNuIF+7vnFRqsl3dz7Ic3nyZUqHL/7XG9g5MTdF7gQnYzOS09jwt+R5n2IAYPWXEDHn05BrlThwfN0zN97WzB7NluuxNe7o3AmL7gbr9VQKFeqMG5bJKbtvMlmA8zfexun7r9k70kuRCej7eKT7IMowL+emjpYQ0zSG9SYdRANvjnKHuc7ruYHK56nZePcw2R8/e8t9FkZzttP5++9jYO3ErHczKw0odHNtFeXG5jSDhT8cvwhfj9tWmHe5Iwc/BH+BEfvPOcVLQbUgaHx24RrVXLvGz9ccxEv0rPx95Wn+HDNBYNBsP/0nFcAYNkxdc2d5LzzvnZjx3u/8gOfN5+9FmwIyjSQZRQenYwtl55i1alH7DWaexxlyZW8YHRR19BLysjBBjO6CxdV46W2XdeesduRm+yYlJGD6bv42Tqa++b0bDkycxVYcOAO73fT3BtwG7d2RsTh3EP+OVkogCL02MQ9b604yQ+cabadphHzpyPqYy9HoUSHJafYbFRTLD58HxeiU/CzGceviuGf87UH21hy5D4vmK0tP1NIqneed03Z+abvGEN9moGCjcLAPVmvPPlIbzeYqLjXaFjRrUj6zY/ZFIEVH9Zn/158+B68HG30zq9QMXCxs8KbXPPqw5ia5XTjWSr+uvAEuyPj4e1kjRA/Z+yLkeDR5kj890UrAPysEbFIxN5UfrP3DmKS36BpJXfMea8mb7lz8oaF/mbvHfw9uhmWHLmPC9HJaBjgylkWf3lc6dkKTN5xg9c6LJSCHf0yg62/8UOf2jqv21lJ8DpTrnMzfulxCtr9eArz3q+JWf/ewpweNQR/H266KvdmyMc5f5tx11+hVBcrZZj8bleftK6E6V2rQ66V9dVvdThivu+GOf/dQvzrbAxffxkx33fDyXsv8M2+O1jUNwT1/PN/L03Gy7NXWbx+2bwuboVoaTKlxe9NjpJ3U6NQqhDDebBSqBi8zNa/832wSv2dtT18kY6DUYnwdc5/iNl3MwGda/mgRx0/wWW9ztLcZDG8LnRCIp6k4p+rT3ldhvR93zVnok0qNCjU5UWTGbDgwF30b+SP5cce8Lpu6JMtV8JaKtYpbr/l0lNsufSU/c24XT24tSY0hXo1I5qceZCE/qvD4Wgjw5qhDXmtoOz7OefQ7Vef4eqTV4It692Xn2U/31ArFleOXIk4PXUIuF5nyeFsK8PZB0k4cjsR07pWh6EQ+JZLsVh06B4WHbqHmO+7ITUzF11+1s2e/PiPy2ge5IHP21VGZq5SHXgNctcJlnVaepr9bhXd7dmMEoZhIBKJ8Gf4E1x6nIJLj1MwtHlFtpVVe1SZvqvC8XiB7n7Npanno6kfwB1l0hB+oWlGbzeng1EJbAbjjrz2kbl55+Gafk7sfMfuPOcFSl5nyfHd/jv4rG1lONvqZpYUhErFIFepwoGoBEz85waWDainMw939DnuqDma94vFIl4RV3MzhR48z8ClJ6kG19OJ8325XY0vPk7BkiP3MbVLNVT3dcLFxynoWsuH7Z6VLVdiy6VYtK3qBT8XWxy6lYhmQe7wyAtMJgsEJa8/TcX1p6kIq+GNxhXd4ONsw3uYOX3/Jfo0KI9J26/j38h4zOpeA8OaV2RfT8rIRdWZB3nLbB7kjs2jmrJ/a2cKcbfn/efpcLG10glAckd+4gaFtQNM2gEozTbiik3OhLezNW48e40PVoWjX8Py+PuKOvujYYArto9pzps/KSOH9+B0NzEdC/uEgIFwPTNDUt7kwlYmga2VBCoVgwvR6ofHOwlpGPDbBWTmKvE0JRO/DWnIe9/Xu6Pwz9Vn+PPCE0TOCuO99t3+O2hR2YP9Oz1HAS/O65ohwAfkNVDtv8nJROEGhQw87DMMg5jkTAS42eFyTApUjPq7LDv+AN1q+/IyMBNf5yAmOYH3Xm1rzj7G5+0qIyNHgf6rL6B3/XL4qmNVJGXkYP/NBDQPcoe1VIIKbnYAtEYfY5enP1NI+7p59M5zHL3zHO/X8+PdyzIMgzn/3YKXkw0+a1sZKhVjdjfKI7efw8FairoVXHjTG397jP33ypOPMLVLNcH3G8oizMhR6ASmuLjdjX45/gCLD6szyLTvX95oNaRwj+nXnHvW9ece40BUIqr55J+Ls+Va3ceKuNv11B03DQbJtY/pt1VvXxMM7FWvHN6vy7/f015fOysJ4lOzELropGAQ7f1fz2HX2OY607WZmkg/YPUF7PuypeB9nPbPw4DBkdvP2YLXj5PeIEehhLVUArlSpfec9tvp/GDT+nMxqFPOyeQWRKlExB6fLX84wXtNc7z1b1hBsJC0pvHTzsTROd8FFBQqpYydjApysuLe1BiqizJnz20MaxFokar4QsZuys9oiohNNThvrkIFJ1uZ2UWDn6ZkmjT88Hu/5BeYe5qShacp6s+5wen6M2TdJfbf3JsDzUPO3cR0fNwyEDN2R0EEYGxoEDvPpZgUtFt8EtF5N0/clFKxWJR30VYv093eSvBmWkPoIfwa5/cTGi3uf1sjeTfW2mb9q66noQliGcJ9yPV2yr/54a6XUqXSaVH97XQ0xrQJ0luo2tXeCsj7fRRKFVuj5YNV4dg0sgliUzLRt0F5o+sH8PsYm5s6b2qmEPciXXnGAZ15JGb0Wlty+B7OPExit6O7vZXO53Fxj2GZVITkjBy0WnjCaI2mCX9H6hSP3XcjAc2DnuDDJgG86aaOPMENTDMMg82cFhlvRxvkKlT40UC3kf+uxyM9W46w6t5ov+QU2lb1wrKBug/Pms8Si0W8wCK329K6s4/xu9aIXxfzjrUX6dmCXb64+8eZB0k4w0nT1rbtciz6N/JHqoldE56+yjJY10yjztzDODUpFB+tvQgAOBCViCBPe73z303kd12I1JO6HhGbiojYVLzJVeBFWg723UxAm2BPg+tS3tWWDQolZeTC09Ga19pYa/Yh9Kjjh+UD6+k8CPC6BKvUgRuJWIRnr7JQ3tXW5EwBIdwgUHq2gne+4T7QaxcLn6vnnKZd+D0jR4HfTkdjZ0QcWlXxQP9GFdC0krvO+5IycuBgLYWNTIKX6TlgGAZenPNgtlyJY3deoKqPIzosOcV772ebI/B9b92gvT7RSW8QEfsKPk78h8x7iem4HJOCAY0qsAEafd2quv5ivBtgFKfA54xd+XVSNMG1Yesvw8/ZBvGvs/ElgN+HNETtcs7YfCkWy449wHf772Bch2AsOnQPVb0dcWh8a2TkKHijx2n7Mq+BIub7bryulV/9cx19GpRngzbLjj9Ar3rlDK7/ea2MJO3fgnv+vBWfJliMlpttkskJwnEf/teefYwrWlmerzJzMeu/W+hZtxzCanjj0uMU9Futbrio6u0IAGxACFAXgb2bmAapWITKXurXhYoUf7A6HM9fZ+PYV6FsrYsT916gkoc9AtyFzw3p2XLUn38ELnYyRM7qyHtYlCtV7PVBU1dF425iGv7h1Oho/N0x3uu/nY7Gb5wsmPY/nsLS/nXZv4UKxOYqVLCSivnd8gzci607F4P5e2/Dx8mGdwzvu5GgM8y3ptFBQ3v0R43x2yLRtpoX4lKzsPz4Q3zVsSo+3nAZ1znrW8nTHis+rG9SptB5TpaFvi5Fca+ycOlxCjwcrNGoohv23UxgRzcd2SoQs/+9ha2X9XcL19AE5J+nZbMP14Ye8rmZQvefp+NOQhreq+OH11lyi41qpgkIAbqBE+2u2tzfZ/mJ/Id9zTK4XbbkStVbDQrpK0atMeC3C9jySVOzSw9Yyq5rcUa7P8okYlyOSTF4TPVaYfzcL3R/LPStbyek4edjD3RGdwOgc3wyDHRGQHuRloM/LzzBb6ejUaucE6Z1qc4LNAO6RaHH/X0Dg4LUPSk0q6lvcBJTCkqnZsnhpnVvDZTN7mMUFCqljGXpCGWXGGPKQ4rGi7RstvWnKNnIxAYP6vjULJOCO9qWHX+IZXq6eliKlUTMnpgnbb/OtsxpF3CNThIuOCwRiXgZYUJblHtjJVTEmXthmKynOLE56bKGaI9soMHdFfUFYt7kKnRSOwF1kKOajyNbc+cmp6uOQsWwXeS4N6468q5kT5Lf8ArjmTt87SQTijunZyvY1lEhE/65CW9bwy28Sw7fw8XHKfiud22dfVQ7KDhlx01sufQUuQoVhjYP4HX/sZKI8cWWayYV7dY3mtCMXVGo4evEZmSZ05LJPQcdjErkPVTee56O4Jm6ATMuzcPh/psJSM9W4L/r8XqDQteevkKDADfeDSR3+FrtgBDXnQThoevN2T+m7LiJfg0r6BRr1P+Z/KA7t+6RNm4Q7kV6js62uv88HeceJsFGJuG1/D57lYkjRs7p3GwU7fOStiTOvpf4OhsyiUjnAWjP9XjsuR4vmFnY4vvj2DyqCdafi8HmS7HoXtsXO6/FYWGfEHQN8TX42UI0D5fcc8rQdZdwbmo79m9ukO5Njv7jwJSYVFJGDnZdi8Pxuy8wu0cNyJUqJLzOxrgOwXiZnoNG3x5FRXc7HJ3QBo2+PQoAqO/vghyFCl91DMbas491UvS55uwxvaC1dlAJAORKBhP+jsSt+DQ8fJHBZqdW9LBnG1e+3XcbkztWMflzDAVtNbjdiTQ3/JU87Nl1+i8viHPveToWH7qHXwx0NeTadjlWp5Ap15scBV6aMFgAd2SamORMXH3yCpsuPkG32r68c+O5h0k6tT0ycxW8OivcrmQ3nr3Gz0cfYO+NeDwQ6DbTYckpvMqUY9+NBMR83w0bzuefg/R1Feu8VJ3VF/1dV4jFuscXkN/Qc+bBS3Ss6YNLj1MwPK+h5OTEUHg6WsPeWor41Cz8euIhhrcIxOss9bGbmqnuUsINdPAzdPmPfdrd/Ex5KOd2h32Vmatzr/rDwbtQqhjU83dhp3Vbdhbf9KyFnvXK8Wq6AOpRjgDdoG5sSibW6KldqKHvfuPEvZdoFOjG/h2T9IYXEAKA6JdvMOavCNTgZBHqG5Kem2Gp736V+yBewc2WbWAE1A2OpgSEAPVIvV5ONrzMvcFrL+mdXyxS1wB7/9ezbBDfRibBpyYUYTbm2323dRpL/r0eh303ErGobwhc7a10Gq6496nGGgMUSga5nP3TWF3UonYpJgVPkt+gkqdDsa2DvuHZNWb/dwvVfZ0MzmOKq09e4f266qC7QqnCqlOPcDVW+B5fKCAEqBv4uQW1hc6TCa+z2cByVFwaJvwdibNT2uGYkUzho3FiSMQiqPL2D+1gkzlS3uQIBoXKYqHptxIUWrFiBRYtWoSEhATUrFkTS5cuRatWrfTOf+rUKUyYMAG3bt2Cn58fJk+ejNGjR/Pm2bFjB77++ms8evQIQUFB+Pbbb9GrV6+i/iolRlFk6Zj6QAPothgVFWNR3ln/RfEurm/T35efYjUnrVEbNyCjCQiZ40lKJu+GzdjQptpDawLqm7K3hVtcWpHXwrP/ZgKvRV6pZ8e9HZ+GcwKtNOqRh/J/R+5oQlzcDCsdeZ/5XGuI8jQzC06aIj1bYTRr7aWR3VUTCGr/o+6DnxBNNoj2A9SaM4/1DqVujvHbInFiYij+ufLMrNH1VIz6wU6uZEweFVAI90GaYRjB2h19Vobj8YKuvFESTTVjl+6DZ8Nvjpp1PgTUD1fmFjHV0M7w4TKUVQGAN1Jb55o+7L+1U6ULI1mrYGaPX87C3d4KdbS6LWgIZRbGpWahzaKT7N8787JApu26iVbBHjrza9PuEn3jWSp2RMShAafLLQDs5zzYc7ehoSxLU0cMBNQt79xuFdV9nXAx7/wek5zJO09rgjEjNhi+YbWWGm78MAW31sKG8zFsUIj7kP37mccY1Mi0rMrC4DZ0ZHMe5EwNCAG65zOAX6tOrmSQpCeYzaV97dXUztsZwe8yuleg2GuNWYd4f3Mzz07df2kwkMqtTTj6z6ts5jDAD1gL+WLrNXSv7WvwWhKdV7h53t78YGLo4pPwcLDC/i9bYdTGK7gVn6ZzTvwz/Akvs5YbSBeJ1NfSMX9dNXi8mOrZqyxeQw6Qf5+Qns3fD2fujsLKk4/wZfvK6NewApvZXFQjNXJHjpzIGXWLKyk9h3ezrWnoMNTomm1C4EL7njU2xfSRSJcee4B579Xk1RcyVONr08VYnX3gnysGGtHMINTYolmvevOP4K+Pm+gE4xcduqfzHn2eJGfysk1yFCqDjW5vQ1q2ArfiX6OnnmHqSwJzrmf6bAx/gimdq+H6s1TcePaalw1mKqFnEm3atVdfZcrx+5loLDxoeD95kZ3fiwIwfA9lTFJGLnycFTh+9wU61vCGTV53MU23bVvqPmY527Ztw7hx47BixQq0aNECq1evRpcuXXD79m34+/vrzP/48WN07doVo0aNwl9//YVz585h7Nix8PT0RJ8+fQAA4eHh6N+/P+bPn49evXph165d6NevH86ePYsmTZoU9VcqEYw1YhckU6g0Kq6AEABM3lGwYcFNtd1Q9ouJjJ1Yi8riw/cFLyKa0Qi06Rs6VPthSmgECGNWn46GtUyCRhX5D49CDwGFFZeaZTSY4CAD0iwfj9JhiYAQoH7Q7bz0jM4IRcZsv/qM3YcHNdE91wsxGNyD+uZX3+iAr7PkbDFUczwTqO0jVHDVGH3dHwvLWBdaLu6Dp6VUnLpPcHrym1yjrZamUKoY/G9LpNH5tANuK04+wvG7L3QKReobljelkMOo66Pd4l6QBhNbK4nFH35zFEpExaVhY14XFY22S85gguk91QrNWD0zc2iP6mVKppAljSxga7S5x+W+GwlGRyT6M/yJ4DDZSRm5BvfBBQfuIqS8C/v3KU4tkLQsOdvFzVK4XfC5dkTo3t/EpWaxwcCtl5/Cysy6Sebgnif0ZTmn5yh4Bd81IyYZusYL1XY0xpxjZPPF2EIP8mJq7bvC+mjtRbTU6gpkTpH6zzZH4D1OzcQchQptF5+01OoVSHq23GBm1rtkwt+RehtiLWW5VjZ8rkL11p9bfjh4l83ADKvhjd+HNORlaerrzfEuEjFFUS2Yo0mTJqhfvz5WrlzJTqtevTp69uyJBQsW6Mw/ZcoU/Pfff7hzJ/+EPXr0aFy/fh3h4eqLVf/+/ZGWloYDB/K7H3Tu3Bmurq7YsmWL0XVKS0uDs7MzXr9+DSenwqfZFYcHz9MR9pP+LgeEkLevmo+j0RYLb1sGz7OKp0/6u6yKlwNeZuQgNVOO8q62gsGeovRT/zp6R4chhdeooisuxwg/vJV2mro8b4uvLYOEd+AcNLNbdZNrnBFSWC0quyNXobL4eei9On4GRwKzNGdbWYGzWouTZuCT4jT3vZqY/V/xrgMpWh+3DIS/mx27nSu42eLM5HZG3lVymRPzKNJModzcXFy9ehVTp07lTe/YsSPOnxcudBUeHo6OHTvypnXq1Alr166FXC6HTCZDeHg4xo8frzPP0qVLBZeZk5ODnJz8FqW0NHVLs1wuh1xe+k6MACCXW6ZAHCHEdNZaBTK16St2x+UgBYq27aVs4vZXt5UVXQuzPhQQKlqXY17ByUaqt3hsafY2A0IASlVAyMPBCkkZwpkNFBAib5OhmmCF8TYDQoBu1mVpkZH99soh6EMBoXffWq1aZdV9HEttrACAWetepEGhpKQkKJVKeHt786Z7e3sjMVE4nTYxMVFwfoVCgaSkJPj6+uqdR98yFyxYgLlz5+pMP3z4MOzs7Mz5SiVGfCZQ1uuEV3FS4UHa23/4e1f1rqjEzhh+39lmXip42jD4L7bs9Kk1xMdGiScZ+h+otEddEuJmzeBReul5KCtKfQOV2P7Y8L5V102FyBTzjnMHZToAOjeUJFWdVbj3unDb5F0MCJkj0JHB43f43FHdRYU7qfx9pIFzNg5l0LFckthJGWQq1Puhg4zBZzWU+OF62b4fJUVv3cn7EB4DiwDAosYKTLpEx6GltbKNx/79bzdwa0mZmaZ3T30re4/2UNiaIRXNmV97ujnLnDZtGiZMmMD+nZaWhgoVKqBjx46ltvvYvcR0/HDdsn2/S7r+Dcth25X84pAVfL3xIE24hsivA+vgsy0lo+Ves94zulbFt/sL31d2Wf8QfLmt8PWMQoM9cPJ+fnHnjs0bYGdMJACghq8j2lTxwISwKpi79w4Qa9rIGJYwpnUgGgS4YOSf197aZ5oqwNcDTx4UrLWwQzVPWEtF2BclXIfFy9Ea5V1tDdaQWdY/BP9dT8DRu+bXzuGyt5KYFMAyR90Kzoh8qjsEsTaZRD10fMMAF/QLC8b23/j98/d93gxfbY9iu+H5ly+HyBTz6j8NbBOCazujjM+Yx0oqLvLhbkuLSh72Be5DX8nDDtFJujcglTzssWNsUzx9lYXPt17Ho5emLd/TwQq/DqqLfr8Zr+FQzccRPk7WvHNacfpvbDO8t4J/jXa1k/EKEJtrYMtq+O5A8dSJM6Z5JTecL8CAClxz+zXFtdhULDiYX49u0YgwHJr/dga2KInq+7uYVVfsbZjfQImvLqofH6r6umJk38b44frhAi/v7KTWaLmoeMoheDpY4aWeTLSCCvK0N/kcV1ZIxCK9o8GZKimn9AaEbGRibB3ZGD1XFs2ozfUqOKNnjyaYdKngxyHRFehuhwE9Wxb3ahSKpneUKYq0+cXDwwMSiUQng+fFixc6mT4aPj4+gvNLpVK4u7sbnEffMq2treHk5MT7DwBkMlmp/U8ssXw8r56/C+b3rGXx5VrKgt51sPeLltg4ojH+/awFJAaKEHauXU5w+tWZHTCsecUCfX45F1uT5lv1UX3e39/2CsHh8a0xslUQ/vq48IXQ7W34Qyc628rwx4jGZi+nTgVX/Pd5CwDqEXS8XfKz5vb/rzWmdK0BmUyGFK2HmBEtAvUu87fBDWAg3muS9+uXR7PKXjrTuSMrmSowb2hkS3mRXvCbxzXDGqOKt/4gtJu9Fb7rbbgCrIOtFVYNbohTk0ILvB4A4Otii+4FGAacS3s7l3c1LetyfFgw1g5tiL9GNkXjSp7YPKoJqnjlD/Ea7OuCg+Nas3/bWpl/rnN1sDFrfnMCQmNCg8xdHYsQiWCR84cxywbW4/29oHdt/D6kIS7NaI8zk9uy09tW9cTWT5oiyDP/GDsyIRTTu1bTWeaBca3gYGeD6uVcceyrUJPXpXsdPzjZWZs0r1QiwoI+ISYvG1AXldTHz9kGlb0MDz284sP6gtPPTW2HEH833rR733TGrB41zFo/bTZWUvi7qY+z34c0RONAN515TL1OWdqfI5vik9aV2L/tCjCMr7OdDSp6OrJ/d6juBSd7845ljR/6FKya9pftKpv9nj71LTuiW+OK+dt186imuDOvM4591QaPF3TlHYPaKnkKX++aCOwn5uDuU5+HVoKUc+uVo1RBJpMVeNldavnAx6Xg1+m6AiMgmnptCynvjCMT2hT4s4XYW0mwc0wLwdeGt6ho9P2udgX/LbV1q23+Nb5FZXeT5vsqLBjbPmmKi9PbG523eZC7TsFpABjYqDy2fdLU7HUsjRyspagb4I4enMLZliSTSHSOw1ZVPIrtemDMP6Obmf2e+v4u+G1wA4t8/gcNypv0vCuRiIv9ed8S/5mqSINCVlZWaNCgAY4cOcKbfuTIETRv3lzwPc2aNdOZ//Dhw2jYsCH7xfTNo2+Z76KiGF1MIhLBzsJD74WUd7bYssRiEWqVc0brYE/UqeACsYHgg1gk/PDmYCNFQWurrxvWCCOaB+CDQCX+GtFQ73wNK/JvwKQSMYK9HSESidCyigdOTAzFxI7BiJwVhg3DG5m9HhKxbpacu72Vnrn5Knnao1e9crCzkmBQE3+ElHfB/W+6YM/nLRBS3gUNA1zxfl3+RUt7SNGpXaphYGPh0aQ61vTBnXmdzfg2uvzd7AQfKKykuqer05PaYqNWQMzDIf8hcmVegG5IswAMbhpQqPUCTB/20tvJGis/rA9nW/7JuFdd/TdpLnYyVPNxwuaR+h/8W1XxhFQiRoB74YJdUrEIC/uGYGn/ugVehvZhJBKJ0L9hBbQJ9uRNH9CoAu9vG6kE7avnD/vZPMgDa4fmHwcyrWCvtUyMdcMawsWMm2WpoZNDIWwe1YR3o12QQKVGJTMDlnfmddbZnwrCy9Ealb0c4OEgfM6w1jrOBjb2R1gNb3g52qCCmx2WD6wHDwcrjG4ThKaV3HFkfBt8FRaMzSObQCIW4ZPWuudda6n515WutX3wVceqOvvDtC7VBB927j/PgK+z6TfAd+d3xoecUfEaBLjqnI83jmiMb3rW4g3rzl9HX0ztUk0neOTlyA9kVfNxhLVUUuihbe2tpDg1KRQPvu2CsBreWPFhfUzpXA0V3fMDsm8raNkggD+ao0QswuROVbFjTDMs7BuCA/9rZfD92r8RoBtIEudFnrUbWrRxz2P9GpbHhWnt0a9hBf1vMGBch2De9W3++zXhaKO7/ZcPrIdKHvao5GGPH/rUxsXp7XFrbifePH7ONmhfTbeBQ8jgpgE4M7kt/vu8BbZ92hRjQ4Mwp0cN2MgksLWSIMjTASKRCBXc7HjXOI2ONbxx8H+t8SknMKfRQuCB3BAfp/xA3IVp7XFuajuMDQ1C26qe+Lwtf//Klhcuw7JBgCukErHJI1QC6m2soX0/BAA/D6inM02It5MNXOys0LuecCNiQfRv5A9nOxnbeObJ2c9NuQfhjrZ1bmo7zOlRAxKxCBuGN0LPusYDCgGcc4GzmQGmue/VxO9D9N/bcnWs6YMmldzh7WSjM0pcDV9+49f0rtVxM043i3jeezXQpJJpQajitG5YQzjquQaYyj7v/bkKy2ZoawgdB2lZcqwbln9N+65XwQLl3xtprGxXzQtzetRAnQou+HlAXZOW2cDf1fhMHN/1qo2dY1ugY00f/PZRPfjbM5jWORiTOlU1azkaiz6og8qehht9gKK7lyypiryj9oQJE7BmzRqsW7cOd+7cwfjx4xEbG4vRo0cDUHftGjJkCDv/6NGj8eTJE0yYMAF37tzBunXrsHbtWkycOJGd53//+x8OHz6MH374AXfv3sUPP/yAo0ePYty4cUX9dUqMwqZhChGLRJBKLHcAtK/mhT+Gm5/BYiqxkS6IkzrqniysJGII/XTbTYhaV/VxxLQuVdHShzHY8mbDufHvJtBiFehhj8/bVYGLnRXvhkEfN07Ap7yr7kMPA8DVxKCQSsVgSb86iPg6DN55N35WUjGkEjEkYhG2j2muc0PVpVb+g+/Y0CBYScX4rlct7P+yFZYNrKdzI28jk5h1g8f184C6sLOSCnYFFdrc/u52CPZ25E37Z3QzdKjujd2ftUA1HyfcmtsJc9+ribnv1cTmkU1wyYSWLUO0H4aEWEnF6FLbVycA6Weg1cbVTr0Nm3Nu4LnbftnAejoPyBprhzZEJQ97zBHIRBjYWPfhSCYRw85KqhMAFDLv/ZqC01tV4T9oVPd1xA99Q/DHiMb4ZVA9ONlIseqj+qhZLj8w7OVojT4NdFvV/d3tsHNsc5ycGMpOG9IsADYyMUa1qoR21bxxmJM9xFXZy4G3jwJAltwyN14V3Pjbq3mQB28b1PArePfjHIUKc9/j/7a+zjZYP6yRTrYOAPbhsLB2fdYCh8a1xurB/Jv/kS0DsW5YQ/g45z8Q/vuZbot3jzp+uDIzjL2ZF4tF+KJ9Fd5+q+HlaI2D43SDA3+MaIxgbwcMaab/IWlyp2pwsJaigqsdr/W8dnlnwYd0fdle+oKJNjIJ7xqyaWQThFbNf4BnoD5eP2oagKMT2mCsVrDFN+93Gt0mCEc52QaTOukGsjSNOEKBbXPYWUkgEonY5Xs4WGNMaBC8HPO32YdN/NGhunAgYqGBTCpuYEmbJgOlGecBrjbnuNZkr0glYjQIcEO/hhUQ4G6P2XnnI6HsMTeBa5a91oOXZvN0ruWLqpzzvPZDPHef9XaygY+zDUQiEX4dZDiYJEQsFqEOpzHr/XrleMNoz+haHXfnd0aPOn44OK41DoxrBalEDG8nG976L+wbgvPT2mPNUNMesmf3qIEKbnYIKe8CkUiEyZ2rYZierNwNwxuhRx0/nJ7UFk0ruaGajyN+/bA+rKRiTOtanbf+f4xojE/bVMKEsGD8+1kL1Pd3Qe1yzgj2zn8gCinvzMs668s5R2t+28mdq2H98MY6D585eh5yDWUUc+fRBOBMze65OrMDvutVG+/V8cOX7asINg5KxCLBDImPmvLvS1R5N4M/9quDTjX1Zw2aY1xYFQDqkfFOT2qLIZxAkCmZyx80rACJWARHaync7KwwrEUgouZ0QmhVLywdUM9oJpuTTf75ztvRvCw7sVhkcuCae9+nUPHPvdr3qQoVgzdmDEVf3GqVc+Ltj+2qeWNLITOa7PIynuXKohnwW+jZrbKXI7yd8p8xuP8WIpRdWcnDHgP0NAIPbOyPrZ80xbphjTCsRSD+/awF3q+rP8Dau145DGteERuGN4JY68D1dbYxmLkjV+bvY22reuKrECVGtKiIpoUIKrrraRjjEgq2vcuKPCjUv39/LF26FPPmzUPdunVx+vRp7N+/HwEB6hNlQkICYmNj2fkDAwOxf/9+nDx5EnXr1sX8+fOxbNky9OnTh52nefPm2Lp1K9avX4+QkBBs2LAB27ZtQ5MmRZ9aX1IoiyJTSCyy6AHwXl0/k4MVBWHo5ANA56QDqINFDHR/O252j7+bHc5NbYfNo5pgVKtAdKrpjW976Z6s9HUdsJGKceyrNvihT20sN9JipQkEGFKT8+AZ6GGv+0DEAG4mLAdQ7zcikYgXuDLmg4YVsHFEY0TOCsPkzuqbe5FIhBp+Tnivjp9goOLbnrUQWtVTZ7o2R2spZHkXM09Ha9423TW2OX4ZlP/7aW9NTaYF92IYVsMbgR72WDO0IZtWbm+tDjKJxSI0r+wh2MpqDlPSu3vlfQ+ho9ROInzs1hbIqmvICUDJtR56uVkj7at74/jEUAxrEahzQ9ZXIAij+c1EIhH6NSyPxoFuvIc8jUmdqmJIs4rs35pDqkGAK5b2r4vJnavi5wF1MalTVXzcMv8hoHuIH27M6YTOtXx5631xenu92S71/V1RkXPTPO/9WrgxuxMq5HWXUe8f+UGsAY0qYHSbIKwf1kjnWBQKGvBeN7HVz8PBGrXK8QM/3HPkoCb+mBAWjLYm7Ova2lf3wlCtrqxbRjVF22pevMy/73rVZrPHuDfiIeWcjHZvEmIrk0AiFukEN2d2r4F21bzhaCPD2SltcXlGB9QR6Jphim2fNEWveuVw4H+tUM1HN3DWJtgTh8e3QX0DrYV21urvaiUV49KMDuz0XIVKJ3hgiKFzY5NKbmgc6IZP21QyeE70cbZBZ07gcWDjCtgyiv+QsGmk+noxqpVupoYi7+HTSsL/DO75TZ8j4/ODoen6Hqw4J0f1Ma0bCK7i5YCUTOHur33ql8fygfxjSNNNDQC2ftIUP/SpjRndqrPTPmrqDxc7GUa2DGSPUW3DWwTi2tdhgg8VQkEhOysJb5/mBu242dE/9OUHt7w5mS3ch4RuIb6CXaqMHTfc4KutTMLLihzZKpDdV6ykYr1ZcJp1F4lE6FO/vM69FTeoXs3HEVID3eG11SrnjOUD68Hf3Q5bP2mGg+Na867Du8a2wM8D6uLExFC0CfaEtVSCL9tXQZ0KLtg5tgX++7wFOnGyHOv7u/IyBz9rWxnv1fHDcoHgtDZDmUL1/V3Yfwt1dexVrxx7LDeu6IbBTQPgxwnwaZ+nxSLA3cEaUokYywbWw4SwYLSqkn/uHd6iIs5PVQ8d/duQBjqBzsmdq/EymZWceqXz3rdM6QRNUEYsFsHf3Y7XmKXd2DW+QzAvUOVub4Va5ZxxdWYHHP2qDbsfcvfHCR2r6gSouaykYmwY3ghL+tVhA9emEgmso75sdu7+tlTrPvdzrcCVr7MNfh5Ql5eBxlXNx1FnWkFKIgCW6T7LMNDJDq3u6yS4nhpC9xTcfflOgrquS2EbdvRl4mjON3993ASda/pgaLMAzOhWnXe/9SZXiaF6GmKOf9UG/Rv548rMDhjQqALGhAahqrcjVn6k7q71Xa/aKOdii/nv10TLyh5YNrAeFvSubTQow/288WHBmPNeTbbxZUrnaqhdzhndQnzx58dNMLhpAGK+74ZrX4fpnLf1NfpoB6XrVnBBsLcD2yAhRHNfHehhbzQIWtYyhd5KoemxY8di7Nixgq9t2LBBZ1qbNm0QERFhcJl9+/ZF3759LbF6pVJRZApJxCJIxZaLE+o7iC1VOLFTTW94OlrjZXqOWe/7oEEF/HUhPxCpnZLbLcQX5VxsUc7FFs2D9Kdd6zuZSCViBHk6IMiE1ERTgkLcm86mldxR398VX7avgmXHHgBQBx6ELjSdanrj0C3+4OfKArRSSMQitA7W/9D72+AGGLnxCmb3yM96EIlEBh/cJoQFY8mR+1jQpzZaBHng9zPROsGLev6uqOfvis83qwtOc9e8Q3Uv/JoXCOCeshcYSXMFhIOF5pjdoyYeJ71B9xA//Jy3Dbjeq+OHcR2C1X8I/NzedsBjrV5oQ5sFYGTL/IfJvV+0xOZLsRjfIRiHb6u3oXZrXDkXW5OGlvVytIGLnQypnNpQbTkZEQv71gEA9Pz1HDttSb86OHrnORvoWflhffx68iGWDVBnK3k5WcNaKsHYUOP1N7gtPIYGGBDCzawQiUT4eUA9/BupHgWidnlnfNgk/4YjrIY3juT9Vi0re2BUq0DU9HPGuG2RvGU6Wktx5esOqDrzIG/6zG7VdYa4lopFyNH6ibk3CTKJGF+2r4IfDt7FiXv5xb/FIghmJGp82b6KYDcPTVYL9/zOzbrjnnNmdK2GJkGeqDh1H28ZzSq5IzyaXwy9aSU3XMgrAqzdPUz7OwGm14fSp0kld5O6BXSq6YOGAa648uSVzmv2nFpS3AeQyl4OBq8fIpFW10YDu5y1VIK/PxXOEtVud+G28i/orZtx06Kyh043HU1B9yaB6t9CO1PIlFb5KpwMGX3dsbVPadq1kmQS9UNvdFKG4PtfZ8kR7JN/vbKSirF+eCOM/vMqPmtbGV6ONujfyB9p2fkHQ0V3e1ydGWa0IUnTMDSkWQD23UhA8ht1YKqCqx0A/n5qLRXzrpvcoBA3aKLdEOHCefDRDnZqd20BgNZVPPHwhfBvoV6P/O2i/VmmnsO4cy3qG4Kvu1fHoVuJ2H0tHlO7VENNPydUnnEAgHk1zUwhFosMNpqJRCJ83q4ylh9/yE5zt89vLLG1kghmKwrJ1pOVKZWIsGFEY7RZeAKDmvhjUqdqOucq7u2mVCLG/J61IBYBf4Q/AQBYyyRsILRpJTd8JZD9/WmbSnB3sELrKp684GRNP2ecnNSW/cyutX14WTQA/xzt7WTDK7Jft4ILIp+mmvQbtKrigTMPhAvcd67lg8WH77PnD0cbKdKzFWhayQ3DWlSEs60Mw5pXxKpT0Wywx8XIfeGEsGA42crQtJI7hqy9yBuV0UoiZh+6kzJy2O/SrbYvvt1/R3B5Goq8a/XVmR3wJkeJCm62EIlE+KBBefxz9RnGdwjGT0fv561j/m/5Xh0/NKvkjoUH76J9dW+ElHfB1k+a4tWbXHg6WsPbyQada/micy1ftPj+OOJSs3ifO6VLNQxff5k3zdyAlsaOMc3RdEHhCtMzjLobaXh0MgblBbQlYhH++7wl7j9PR/flZ9l5raVi5ChUmNezJsZvUw9uM7CxP7rW9kHzIA8ETd/PW/aMrtXx7FUW4l5lIsnMAufB3g54v245/G9rpM5rmmt4yyoeaKmVxd2qigduPHuNNlU80SNEvR1q+Dlhz/V4/HPlKdYOa8Q2lno4WOP7vIzSKZ3zMzwHNfFn70UGcxoKDXG3t0Lzyh7s8ax9Lh0TGiTY3dnV3gp1K7ggmlOsXaiXBACUd+Hfq2z9pCmsJGIcvys8oMus7jXQNa/7uUwixuWZHVBr9iG936GwzwulDY1dV0oVRVDI1kpiMCraJNANFx/rH13EwVqKVR81wEdrLwIAMvWMblSrnDPvpj6kvDNuPDM8apF2NwtAfWPzaetKOg9yxtSp4MILqkzpoj7xrR/eCHuvJ+CztqYVmuTeDBd0NCdTWg2spPmfM6pVJYhEIkwIC84PCuU9vQxq4o/I2FRs+aQpEl5n4VZcmm5QqAgyzJpUcsf1WR11Tp6Gajd90a4yPmziD/e8C9HkzrrdC7QpOAEtVzsr9sbdifNAoH3TVxQquNnh2FeheJGWzQaFfhlUDy2CPBD5NBVtgj3Z30LoFxgUpMSK+7ZoE+yJ3ZHxqF3OGXO1WilrlXPW6f9dQetBfWKnYIzYcIVXgwDgd7Or7usEPxdblHe1ZYNCC/uEoKdADQVuy1jv+uXRm1M8tUttX3QpQNFKgB8UsiTtU+DsHjXwOOkNhjYLgEgkwoxu6pYiblBoZMtAfNG+CqylEpyaFIo2i04CAIY1r4iRrXTPJRKxCF1r++B2QhqbOcE97jX/ztTK4Dg0rjW6LTuLbiG+SMrI0Xlg+Kipv2DQVLP/6isYyz1faLdMOlhL8V3v2mgT7Ikp22/g4K38wRg+blnJYFCosN2aCsrWSoLtY5pj+bEH+PGI+mFDJAJCyrvodEs9M7ktUt7koryrHRys9Z83ZWIxcjn7HDewUM7FVueBRB/tjFJHGxmuzOwg+Pvps/9/rbDvZgJbS4TbZcccF6e3R3xqlmDWFQCItCJfIpEIzYPccf5RMg6Pb40AdztYSyWo5++CGbt0R+X7tE0lXiDEwVqKIE8HnSK8TjYy/Pd5C3UDkhmZLYA6869xoBsb5G8d7IltV9SjWtYp74z+jfx1Ai7cPxf1DcGw9ZcxsWMwb57qvk5wtbfCxhGN4Wgj1cn4Etq3xSJ1fZc/LzzBF1rBEfUy+RkBmnnNqdfkxemqIRaL4GJnhf6N/NG/kW7WVG4RnSMN4W5vkQhoWNEVf154YvZycvIyhXaObY7eK86z0yViEZxsZLg2qyM7rZqPI68un1CWUQanhqGS0xCy9RPh4K21VMJrHNCH28Wyc00fHLyViJGc7FYAODKhDWbujkK9Ci5Iy5abHBR6v245/K99FcEs5Mpejjg/tR2bGXfsqzZ4kZaDWpzM3Mpejlj8QR2TPgtQB9BGt1Hvi+uGNcLUnTfZICd3f/dwsMbNOR1hZyWFJK8m58Df1aNfjW4ThFWnHvGWq8lodHewhjvnVLWgd20MbxGI6r6OeL+uH1QMo3OceTpaYxHnO+jLIBFqd7bh7IthNbzh42TDG3zCHD4FDCZxMXnLOTWJX9TdSirmbTcA2PNFS9x89ho965Zjg0Ju9jJeBhsAdKiuDtT7udji389aYMnhe1jGOe9U9XbEvef81sLuIb7YeyN/5FV95QMAw92c/hjeGLlKFbvNmgWpt81HTQPwkQVqberDgH9faU55ki/aVcHOiDg4WksxOjSIl9nI5e9uB1uZhC0ZYC0VQyQSCZ73/9e+CkZoHfP66gWy36FoevuVWBQUKqWKIijkYiuDxMBBqzDwmc62Mlz7OowXGNDX+tWskjs2hufffJjyIK/dzYI7XSYRo04FF2y/+pSXAWQIN41V01rbtqoXL4PCGKnAw2FBGBu+tFFFN+y/qX7AEzrRabYKN4jgbCvD3QTdoshFsd8AwtH0uhVc2PVuHeyJx0kZeJqifiATiURsQMhU+hpoZRIxrsxUdy8pyodbB2spb+QD7nf2dLCGq70V2moVFRUKjHnZAhenhsLKygrf9KptNFvgn9HNcDcxnb2Qa7Sr5o3Tk9rCz4V/E8R9QNz3RUuIxSKUd7FDVJw6fblfI+ECrN/0rIVRG6+wN5uW0raaFxYfvm9S/SxzaP+25V3teLVdhMzsnp9SzC3WrV2XSkMqFuOT1kEo52qLFnlZg9xjXXM8Na3kzraGAersjhtzOrI3KG9yFIh++QY9fslrYeSs+pZRTTHw9wsY2TKQ3afKu9phx5hmOi3GNjIJwqp7ISYukR316+9Pm+GbfbfRrbYvGyBc9EEIImJf4UVeFiX3uBd6mDcn0FEUuMfSjdkdYS9QV6yCmx2bCWBnYEQ6qUQEbnxeBHXm2NmHSZjSpRqCvR0MXnM0AYBJnXQD1eZ2PQ1wt+dl07nYWaFbbV/su5mg9z1L+9dFllyJaTtvsrWBvJ1seF2ktAmdGzeOaIzXWXLeedZGJsG0zsHskO8Pvu2C9GwF+8Dav2EFbLvyVDCLTSOkvIve14zh/n7cwOe4sGDBay/3wbNWOWdcntGe3S++bFcZy44/xKy8Y1pfNmuH6t46jU5isQhz36uJ0aFBkElEOkGhAHd7bB7VhP1dZvWogd71ywl2sdW26qMGuJeYLjjakjZnWxleZ8l5o40Vl/fq+CEpIxd1K5g2OIgm40UTQNPuCioR2Cm3jGqK5De56LDkFADhAVOaBbljR8Qz1C7njKldqmHEhsuYI9AoaC7uw/yvH9bHy/QcnQCCRCxis41/Px1t8rKtpWKdAUa4uLUEvRxteAGqwmpY0Q1HJ7TB+7+ew/WnqTo1BB0557pa5ZzgbCuDg7VUMECt7zoglYjZ+nkVCzmia0V3e/Y+UMNGlv+5vw6qb/Z9nHa26fKB9bAxPAaXY3QzUN3srZDyhp+h425vxWYwAoYbNLUFezvq3D9IOJGvM5Pb4uS9FzrBYDutYISTre41bXaPmqhdzhkLDtwFoA5q6GMo4CIWi2AjtuwgQqbinsNlZvRECfSwx/VZHWFnLTEYDAPUWair845XzfVB+/nz9KS28NdTN+/a12HIyFEg+U0ujt99wTa4A0X3zFRSUVColCqKHdXZVmYwU8hQi7+rnUwnMKCvAGGnmj5YP6wRhm9Qp4taS8Xwc7ZB0ptcqFSMweCTNplEzAaMHjxPx18wLShkqJ+3qbgPh8ZOWoYcHNcaOyOeYcqOm4Kv1yrnjH9GN9ObTqvv+iX0tcz5bQtrWPNASMRitKrigWBvR+QqVBi2/hKvTo4pZnarjnVnH2NK52q8VhOuwtYJMub9un46Bbi5GQj6Ukz1/dqafc5YKwWgDgo20nPDqe8ip71eo1pXwsFbiQYfVCp62Ft8eF5AncZ/7Ks2gqMNFYahejRCDA0/ru+0JxGrW5x61cvPmvJ1tkGTQDdIJSI45dUu6lzLh+2uqRnRinszZG8tRe3yzpjUqSre5CjgxXnAbxbkjujvuursQw0ChLf5ikF1sX//fnb+xoFu+O/zlrx5HG1kODkpFD8cuIsutX11boI1NMESU9PBi0rX2r5YdOgegr0deA8x+nBbkSu62yEmOZP9W/saJhaJsHZYQ8QkZSLY28Ho+X7e+zUxtm2QWSOZmeP7PrXBgMF7dcoJnrsVKgYDGlVAfX9XvRlj2oQGXZBKxIKB9w8bV8DZa3cxrFNDyCRiXm2feT1rol+j8qhTiMCPIU0C3bCwbwhq+Tnzjg/t9Z/VvQY2XXyCiVrdhbjbbkLHqhgdGmQwQAioMyJ8nGwweccNdpqfsw3EnGLEc3rUwJw9t3mj7HC7jsskYtQz8XzTuZYPr/6UIXs+b4k9N+KLtLXeFM0quUMkEvHqwhnz96jG2HjxKS/o2TrYE6fvq7vRCjWUudpbwdXeCqNaBeLhiwzBc3if+uXgZCNFFW9HBHrYI2pup0LdX60e3AART17xipNLxCKjGSXmjPBbTk/Xlrdp66imeJz0RifLjcvRRoYTE0MhEYmw92a8zuu2Ro4lS1jYNwRz/7uFYMSx07j3b7ICDHaTns3P1O1Rxw896vjpdFec935NJGfkshnemszR0Kpe2BHxjJ3P1ONXH+41qIKbneD1VTtTWCgQ5mQr5TUGhhpotJZYsPSHpYjADzTKpOZtW1NHzxNq1LOW8X8POwPZxZrzUgU3O9St4MILCul7jn1XUVColLJUUEhzMwSo+wgbyngx1O/dWaAPtOakp51WLBaL0LaaF2QSEeRKBq2qeGDV4AaQK1VotuA4r06KWASzsncKoqBJPtzIfGEyhWQSsdE+5PqCAoD+9Rcqtvs2o95WUjHvJtNKKsZmreKsphjZqhJG5hVv7VDdC0fvvNCbOVYY1XzUKdzc/uIaQj8b93fXtw1KSuppgwBXnJncltel4W0ypb6WqcKntUN8apZOGrc+n7etjF3X4gTrTTWq6IrLMa/QQU/ASChILhKJsDVvJBLNQ6pIJMLKDxvgcfIbg0PN6+uaWhT91u2spGy3xPOPhOtdrMp7YNLOQnvbAj3scXlGB71FyLU1qeSOue/VRKCHPebsucV7Tftc3CjQFdZSCaoaKBLKJRKJiiwgBKgfzFZ8qM441NTA4krNzIVIJDJ5fQH9WZRCrGUS9K2kQusqugFia6lEbzDSErhFsOM53fi0s0pGtAzUSfMXYiwgBKivO/0aVeAFhQZpdTca1iJQ70hfRcnf3c7k7upF4fzUdribmFage6zKXg46tbV+6lcHDb45CsDwPZGma68QkUiEjpyuIoUJCAHqRkh9XU8MMbWu2sxu1c1uoCgKtlYSk0bD1ASBuTUG36vjh6tPXumM4lkUfJ1tsXxAHezfnx8UquBmh2961oKjjfDIs8bU83fBvefpvGLpQoY0q4hfjuc/8G8f0wwHbiaiX6MKvKCQsVqJdSq44PrTVL2/lynPA73rlcPvp6MRm6Ju0ODWc53SuRoqedrDWirh3bMbCpiV1ILI3OCXJWvWcnWv44sdEc9Q3Td//28R5IEhzQLYXinmBHm5JU3uP9dfe+5dREGhUspSD/eDm1Vkg0LqTCH9B62hLBNuocdFfUNw/O4LdqjR+v6u6FWvHHZdi+O958TEUFyJeYUedfwgEauH2dU+sUXN7WTyEJnGLibckTS4cxoa2t4QbmS+sDcuhk7oxs71+kbNCQ32Qs+6fqhVzpmtlVLaUyFXD26IlLzihZbUOtgTc9+rqVPHREMonZi/v+nLFHr7v7e+3VnfCEGlja+zrVkP7RM7VcVXHYMFzw/bPmmGbIWSfbjsUN0bR+/kP6jru7kTWpZYLLJo8MuSmlVyx5jQIJ3RUxyspQaLyL9N5h7TmsCwdkCBu20mdgwulod9UwmdV7gPa6Ya3SYIZx4koVsB634VB+51q4CX4AJpVNG12GpolTR+Lra8rk2Fxc1MMzcjuKTpUsuHHRBDG/ehcaTAaIOlATdDcNnAelCpmGItqluYbLlpXarD393O6IjEAP/64OtsywafK3s5CNZlErJmSEMciEoQrM0IGB/9FFAHS05NCkXgNHUhau726FnPj73H4XYb1qx73wblsf3qMwxtFsB2Wy+pQ6dXdLdD19o+sJVJi+y8ay2V6DQ4i8UiTOpUNb9UiRm34v+MbqYzEElZQUGhUspS3YC4pxFnOyu9J5a9X7TEoVuJOn3vNbijonzQsAI+0BoSV+imr7yrnU5rjPbnm9ISyH6Ggde+bF8FPbQK8moUNCjEDeS42VuZXMBUiOETuuH10xcUEotF7FChmqCQqS3xJZVELLJ4QMhWJsFGzvCn3BR4DaFWBlOuwcWRKeTvZocnnO40RH/AWCwW8c4xS/rXwZFbz/HVP+qCkeYURizJRCIRbySRd4mLVoo5d4t93k5/DYaSQOhcZiMz/8a5RWUPXJ7RAe4Cw7yXVNzv+TYLLRf0ek9Mc3JiKB69zEBzE2oqlWRisQhftq8iGBQq52JrdHCUkq5P/fKIfpnBNgqUxFGWetcvh50RcUbnc7aTmTQSKqA/AL16cAPM+jcKX5hwzfB0tMYQgS5h07pUw+kHL9lsSOPrIsJ3vWrjQFQCRrcJYhvOuY3zfi62WD+sEW9AlW971ULv+uXQMMCNDQqVxEwhkUj9HTWZsW+bo40MveqVQ65SZdZzg7VUwo60V1Iazd4WCgqVUpqH1FrlnNgCsgXBPUG6GKgpVKucs8GRx4ylQJt6I1aYE1vjQNPT3vk1hQr2edxAzvSu1fH9wbv4sLHuyCKm4F4Evu1VC82DPNB28UmT3mtKkdiNIxrj+wN3sbCv7lDKhG9612q6QSGBZxbu9tfbfcySK2aihX1DMG/PbQwrgi527zonGxn6NCjPBoXcStFDdlm1sG8djN0UwQ7nXJrU83fF1C7VUNHdDnIlg303EgrcNdbSwfKixh39Sm7hIdkNKakt6u+Kih72hS5GXNK9C/uQlVRssBtfSfBdr9omBYXMoe9ZJMjTAZtGml/egOvTNkH41MyBOjRDvSe+zmanaT8HaQ9gYi2V8GqeASVrn9SM6Dj3vVrGZy5iP/WvW6D3fd6uMqr5OpaIQQDeJgoKlVKaTCFH68JlfnBb0N0drAxmNhiqyK8vW4X9HBPXx9DoZ8ZUcLPDyYmhcDVSn0e9PoWvB8Q9cfu72+Hfz1oUaDmAejhYP2cbBHra6wyvqi9oNalTVSw6dA/f9tKtlaKtdbBnmYt4m0q7i5dQOr1QNzDuzYXerovFEBXydbbFyo+Kp2XmXbGobwj+ufIM4zsEG5+ZFKtAD3sc+F+r4l6NAuOO9qcvm/VdxL3uypVv70RJmUKkMNpV86J96C2xkUmw94uWGP3XVTx7VfBMfABsrb8SFDvh4Z4PC3I2bFqpeOsCcn3VsSpGtqxkcqHokkgiFhWoFllpR0GhUkqVFxSyRHT40zaV8OpNLmr4OuHec91hzC3B9EyhwvU51W6hCqvhjSO3n6Nfw/L8GXlFggv2G3LfZlPIvrI2MglOT27L2551K7ggPjULNfUUD/ysbWV83DLQaECO6BrZMhBrzj4WfE1ouGqh3g0i3j4k/DnFUVOIFJ5QF1hSOtDzWumjEErFLCIlsZsMKT1srSR0jnmLapVzxudtK2PqTuHReU31R16JAJHJTdRvl4eDFdoEe0IkUo/mbKozk9viZtzrt1Ik3BylOSBUllFQqJRSFCIoZGclQWZu/jB707pUZ/9dVNXhTV2spfvF/ja4AbLlKthqFRDmdrkq6Edy6zppL78gpFrFqneOaQ4lwxgsYk0BoYKZ2b0GGxQSSoDrUccP4Y+SkZSRkzePkUwhPTcaDQJccSE6pVTV+iCkNHO2lSEpI7e4V4OYwdDIppZGMSFSGFKxiDKF3jLte2NzdazhzQ60UVI3nUgkYgNX5qjgZvfODCJCih8NwVBKcTOFhjQzrWr/qo/qY1KnqmhgYFQIQ0EZc4b002bqMJOW7hcrEokEAzbcegYFGQITABSclHcbqeWDM+K8EdlI0RLaq5cPrIcL09oZnEfC6z4mvOxlA+vh09aVsGNM88KtJCHEJMsH1kewtwNWURfKEq9LLR+421uh01ts5dYerY4Qc0jEJTXX5N2lb1RYU3Hv3yigR4h+lClUSrUK9sD64Y3gameFHLkyf9g9AzrXUg9Xa6hgtKGgjPZQud5O1nielmPS+poa6/mhTwje//WcaTMXgiUyewLc86PzlJL+7uG2TikFRvsz5d7Cy9EG07pWNz4jIcQiavg54fD4NsW9GsQEKz6sD4XKcDaspdG1mhSGVCyy2Oi/xDT21gV7VG1WyR3h0ckY1CR/ABiKCRGiHwWFSilfZ1v4OqsL4l6J0R/kEWLonGhoCGbujdvaoQ0hlYgxdN0ldKzhbfQze9Urh78uxCLY28HgfHUquGB612r4bv9do8ssjMLWAALUwx1emt6el3VESg8riRi5ShVq+ArXbOISypLjZpg521L/aUIIMYdIJIKsEINLFATFhEhhSMRiONrQPd/b5GBdsN9748eNkZCaDX9uAy5FhQjRi4JC7wBzuz8Zmt3QCXNEy0BExb3G+/XKoX11dSDowrT2Jg2F2yDADacntYWXk/F5+zaogKVHH6BtVS+j8xZU9bzizVaFDA55OdlYYnVIMdjzRUusP/cYX7SvUuBlLOobgtdZcurTTQghpQA9FJLCkIpF+LJdFdx/no5e9coV9+qUCYYyhbaM0j+MvEwi5gWEAAoKE2IIBYXeAVZmpl4PaFQBJ++9RJ3yzjqvGbpfcraVYe2wRrxpPs6mB0W0T876uNlb4frsjhYvOs3lZCPDta/DCh0UIqVXVR9HfN8nxKR5hbqPAaARqgghpBSh7mOkMCRiEZztZPjz4ybFvSplhr2V/kfVSp72el8TUtii1YS8yygo9A6wMzO1snMtXxwe3xr+AtkNJaUV7W3UGHClEaGIiQpTZJ0QQkjJQIWmSWFYejAUYpyDgUwhcwd5ea+OH347HY0Wld0Lu1qEvHMoKPQOKEhl/mBvR8HpJSUoREhJQnUlCSGk9KNnelIYRZnBToQZ6j5mY2VeA7K9tRTHv2pT4FGHCXmXUVDoHWBnILXSXK52MjSu6AYlw+D+83SkZysstmxCSisqJE0IIaUfdR8jhUGZQm+foTIP5pbPAMyvw0pIWUFBoXdAQTKF9BGJRNj2qbpw2+Hbz/Hpn1cxuXNViy2fkNJkxYf1sf7cY8x9r2ZxrwohhJBComxoUhiUKVSyUICHEMuhoNA7wNL1dzQn2U41fXB7XieLZiIRUpp0re2LrrV9i3s1CCGEWADVFCLm6FDdG0fvPGf/loipUDEh5N1UpGe3V69eYfDgwXB2doazszMGDx6M1NRUg+9hGAZz5syBn58fbG1tERoailu3bvHmCQ0NhUgk4v03YMCAIvwmZRcFhAghhBDyLqDuY8Qcvw9pgLvzO7N/SyW0/xBC3k1FGhQaNGgQIiMjcfDgQRw8eBCRkZEYPHiwwfcsXLjw/+zdd3hT1RsH8G/SBYW27F2GgAzZe2/KEhFBQJQhgiCgIioKOAAH4voBKkNAZO+NrLL3pswCZZbR0jK6V5rk98fpTc69uTc7TdO+n+fhIb25SW7TO859z3veg99//x1//vknzpw5g1KlSqFz585ITEwUrTdixAhERUUZ/s2fP9+VvwohhBBCCPFgFBMitlCpVMjnYyzRQDWF3KNbrVIAgHWjmmPViGZoWqkIlbYgxMlclgYSHh6OXbt24eTJk2jatCkAYMGCBWjevDlu3LiBatVMD2a9Xo+ZM2di8uTJeOONNwAAS5YsQcmSJbFy5UqMHDnSsK6/vz9KlSrlqs0nhBBCCCG5CN3UE0fQ8EP3mPN2AySlZyIgH5v0o3nl5m7eIkJyH5cFhU6cOIGgoCBDQAgAmjVrhqCgIBw/flw2KHT37l1ER0cjJCTEsMzPzw9t27bF8ePHRUGhFStWYPny5ShZsiS6deuGb7/9FgEB8tOsp6enIz093fBzQkICAECj0UCj0Tj8u3qKvPS7uorwHdJ3SexB+w9xFO1DxBF5ff/R6/V59nd3hry+/3iraf9xlL37UD6vvLvfEaO8fg6ylS3fk8uCQtHR0ShRooTJ8hIlSiA6OlrxNQBQsmRJ0fKSJUvi/v37hp/ffvttVKpUCaVKlcKVK1cwceJEXLx4EaGhobLvO336dEydOtVk+Z49e+Dv72/175SzWf5T7tixIxu2I29Q2tcIsQbtP8RRtA8RR+S9/Ye1kXRP72LHjjtu3hbPl9f2n45l1Lgep0KBmCvYseOKuzcnV8hr+xBxLtp/rJOSkmL1ujYHhaZMmSIbYOGdOXMGgPxUgXq93uIUgtLnpa8ZMWKE4XGtWrVQtWpVNGrUCOfPn0eDBg1M3m/ixIkYP3684eeEhAQEBwcjJCQEgYGBZrfFU3x8Yo/s8nYvF8PBm0/RvVZJdO9eN5u3KvfRaDQIDQ1F586d4ePj4+7NIR6G9h/iKNqHiCPy6v7zUoNEnI+Mw4BG5ajYtAPy6v7T3d0bkIvk1X2IOAftP7YRRkdZw+ag0NixYy3O9FWxYkVcunQJT548MXkuNjbWJBNIINQIio6ORunSxmmgY2JiFF8DAA0aNICPjw8iIiJkg0J+fn7w8/MzWe7j45Mrd6hONUpgb3gMAGBSj5oY20GD2uWC4OPtZeGVxFq5dd8h2YP2H+Io2oeII/La/lM7uAhqBxdx92bkGnlt/yHOR/sQcQTtP9ax5TuyOShUrFgxFCtWzOJ6zZs3R3x8PE6fPo0mTZoAAE6dOoX4+Hi0aNFC9jXCkLDQ0FDUr18fAJCRkYFDhw5hxowZip919epVaDQaUSApr+lRpzT+uxQFQFxI0c9bjUYVqSFECCGEEEIIIYQQMZdNSV+jRg107doVI0aMwMmTJ3Hy5EmMGDECr776qqjIdPXq1bFp0yYAbNjYuHHj8OOPP2LTpk24cuUKhg4dCn9/fwwcOBAAcPv2bUybNg1nz57FvXv3sGPHDrz55puoX78+WrZs6apfJ8f7X796hsf+vsZYH820QQghhBBCCCGEEDkuCwoBbIaw2rVrIyQkBCEhIahTpw6WLVsmWufGjRuIj483/DxhwgSMGzcOo0ePRqNGjfDo0SPs2bPHMLOYr68v9u3bhy5duqBatWr46KOPEBISgr1798LLK+8Oj/L1VuOzkJdRs3Qg3mtVybDcx8ulf2JCCCGEEEIIIYR4KJfNPgYARYoUwfLly82uo9frRT+rVCpMmTIFU6ZMkV0/ODgYhw4dctYm5ipjO1TF2A5V8eC5sdI4ZQoRQgghhBBCCCFEDqWR5HI+avoTE0IIIYQQQgghxBRFDHI5igkRQgghhBBCCCFEDoUMcjm1ioaPEUIIIYQQQgghxJRLawoR9ygZmA/eahX8vNXI75N3i28TQgghhBBCCCFEGQWFciFfbzUuT+kClQpQU6FpQgghhBBCCCGEyKCgUC6V35cyhAghhBBCCCGEEKKMagoRQgghhBBCCCGE5EF5MlNIr9cDABISEty8JcTTaDQapKSkICEhAT4+Pu7eHOJhaP8hjqJ9iDiC9h/iCNp/iKNoHyKOoP3HNkKsQ4h9mJMng0KJiYkAgODgYDdvCSGEEEIIIYQQQojzJSYmIigoyOw6Kr01oaNcRqfT4fHjxwgICIDKyVO2N27cGGfOnHHqe5KcIyEhAcHBwXjw4AECAwPdvTkeg44LhvYfwrPnuKB9iDgip+8/dK3I2XL6/pNb5abjgvYh4gh+/+nYsWOuOS5cRa/XIzExEWXKlIFabb5qUJ7MFFKr1ShXrpxL3tvLy4tOcnlAYGAg/Z1tQMeFGO0/BHDsuKB9iDgip+4/dK3wDDl1/8mtcuNxQfsQcURgYGCuPC5cwVKGkIAKTTvZmDFj3L0JhOQ4dFwQYoqOC0LE6JggxBQdF4SYouPCufLk8DFC7JWQkICgoCDEx8dTdJrYjPYf4ijah4gjaP8hjqD9hziK9iHiCNp/XIcyhQixgZ+fH7799lv4+fm5e1OIB6L9hziK9iHiCNp/iCNo/yGOon2IOIL2H9ehTCFCCCGEEEIIIYSQPIgyhQghhBBCCCGEEELyIAoKEUIIIYQQQgghhORBFBQihBBCCCGEEEIIyYMoKEQIIYQQQgghhBCSB1FQiBBCCCGEEEIIISQPoqAQIYQQQgghhBBCSB5EQSFCCCGEEEIIIYSQPIiCQoQQQgghhBBCCCF5EAWFCCGEEEIIIYQQQvIgCgoRQgghhBBCCCGE5EE5Iig0Z84cVKpUCfny5UPDhg1x5MgRxXWjoqIwcOBAVKtWDWq1GuPGjcu+DSWEEEIIIYQQQgjJJdweFFqzZg3GjRuHyZMn48KFC2jdujW6deuGyMhI2fXT09NRvHhxTJ48GXXr1s3mrSWEEEIIIYQQQgjJHVR6vV7vzg1o2rQpGjRogLlz5xqW1ahRA6+//jqmT59u9rXt2rVDvXr1MHPmTBdvJSGEEEIIIYQQQkju4u3OD8/IyMC5c+fw5ZdfipaHhITg+PHjTvuc9PR0pKenG37W6XR4/vw5ihYtCpVK5bTPIYQQQgghhBBCCHEnvV6PxMRElClTBmq1+QFibg0KPX36FFqtFiVLlhQtL1myJKKjo532OdOnT8fUqVOd9n6EEEIIIYQQQgghOdmDBw9Qrlw5s+u4NSgkkGbr6PV6p2bwTJw4EePHjzf8HB8fj/Lly+Pu3bsICAhw2ueQ3E+j0eDAgQNo3749fHx83L05xMPQ/kMcRfsQcQTtP8QRtP8QR9E+RBxB+49tEhMTUalSJaviHW4NChUrVgxeXl4mWUExMTEm2UOO8PPzg5+fn8nyIkWKIDAw0GmfQ3I/jUYDf39/FC1alE5GxGa0/xBH0T5EHEH7D3EE7T/EUbQPEUfQ/mMb4TuyJtnGrbOP+fr6omHDhggNDRUtDw0NRYsWLdy0VR4uNY79I4QQQgghhBBCCDHD7cPHxo8fj0GDBqFRo0Zo3rw5/v77b0RGRmLUqFEA2NCvR48eYenSpYbXhIWFAQCSkpIQGxuLsLAw+Pr6ombNmu74FXIOrQaYUYE9/vop4EURVEIIIYQQQgghhMhze1Cof//+ePbsGaZNm4aoqCjUqlULO3bsQIUKLLgRFRWFyMhI0Wvq169veHzu3DmsXLkSFSpUwL1797Jz03MePkMoNQ4oWNxdW0IIIYQQQgghhJAczu1BIQAYPXo0Ro8eLfvcv//+a7JMr9e7eIs8lF5nfOzEQt2EEEIIIYQQQkh20+l0yMjIgEajgbe3N9LS0qDVat29WTmCr6+vxenmrZEjgkLEWfhgmQqIvgx4+QLFq7ltiwghhBBCCCGEEFtlZGTg7t270Ol00Ov1KFWqFB48eODUmco9mVqtRqVKleDr6+vQ+1BQKDfhM6jSE4B5rdjjb14AToggEkIIIYQQQgghrqbX6xEVFQUvLy8EBwcDYDWFCxYs6JTsGE+n0+nw+PFjREVFoXz58g4FyigolKtwQaHkp8bHukxA7Vj0kBBCCCGEEEIIyQ6ZmZlISUlBmTJl4O/vbxhGli9fPgoKZSlevDgeP36MzMxMwxT09qBvMzcR1RRSyy8nhBBCCCGEEEJyMKFukKNDo3Iz4btxtMYSBYVyE374GJ89RkEhQgghhBBCCCEehuoHKXPWd0NBoVxFUmjasJiqsxNCCCGEEEIIIUSMgkK5CZ8pxNNRUIgQQgghhBBCCHGldu3aYdy4ce7eDJtQUCg3URomRsPHCCGEEEIIIYQQIkFBoVxFIVOIgkKEEEIIIYQQQgiRoKBQbiIaPsY9puFjhBBCCCGEEEJItnnx4gUGDx6MwoULw9/fH926dUNERAQAQK/Xo3jx4tiwYYNh/Xr16qFEiRKGn0+cOAEfHx8kJSW5dDspKJRb6bjsIFcXmtakAifmAM9uu/ZzCCGEEEIIIXlL3APg6S13bwVxN70e0KQAGcnZ/0+pdq8FQ4cOxdmzZ7F161acOHECer0e3bt3h0ajgUqlQps2bXDw4EEALIB07do1aDQaXLt2DQBw8OBBNGzYEAULFnTWtyjL26XvTlzr2CwgKQbo8gP7mR8mpvTYFQ7/Chz5Fdg9EZgS79rPIoQQQgghhOQdM2ux/7+4D+Qv5NZNIW6kSUGhv2q457MnPQZ8C9j0koiICGzduhXHjh1DixYtAAArVqxAcHAwNm/ejDfffBPt2rXD33//DQA4fPgw6tati/Lly+PgwYOoWbMmDh48iHbt2jn7tzFBmUKeLPQb4MSfQEw4+5mPYPLZQa4ePvbglGvfnxBCCCGEEJK3xT9w9xYQYrXw8HB4e3ujadOmhmVFixZFtWrVEB7O7t/btWuHq1ev4unTpzh06BDatWuHdu3a4dChQ8jMzMTx48fRtm1bl28rZQrlBmlZ2TmKmUJa4OAM4NE5YMBKwMvJf3YvX+e+HyGEEEIIIYTwqE5q3ubjj7gx4QgMCIBanc25LT7+Nr9ErzDkTK/XQ6VSAQBq1aqFokWL4tChQzh06BCmTZuG4OBg/PDDDzhz5gxSU1PRqlUrhzbdGhQUyg20Gex/xaCQHjj4I3t84z+gZi/nfj4FhQghhBD73d4P7P4K6PUHULahu7eGEEJyDtFICJpROU9TqVhwxrcAkN1BITvUrFkTmZmZOHXqlGH42LNnz3Dz5k3UqMGGwQl1hbZs2YIrV66gdevWCAgIgEajwbx589CgQQMEBAS4fFtz/rdJ5PEnSLmgkE5h+FhGsvO3xZuCQoQQQojdlvUGYq4CS3u7e0sIISTnoqAQ8SBVq1ZFr169MGLECBw9ehQXL17EO++8g7Jly6JXL2OSRrt27bBy5UrUqVMHgYGBhkDRihUrsqWeEEBBIc8lCgppspaZGT4mcEXaJWUKEUIIIY5Lp8kaCCFEhDKFiAdbvHgxGjZsiFdffRXNmzeHXq/Hjh074OPjY1inffv20Gq1ogBQ27ZtodVqs6WeEEDDxzwXf1K0OHyMzyDKdP62ePk5/z0JIYQQQggheRwFhYhnEaaYB4DChQtj6dKlZtevVauWSf2hcePGYdy4cS7YOnmUKeSxbMgUEg0lc0VQyMfyOoQQQgghhBBiLyo0TYhLUFDIU8lmCnGBIqVAkCYVODUfiL0BpCcCyc8c3xZvM5lCB2cAR353/DMIIYQQQggheYto+BgFhQhxBRo+5qksFZrmHz+NMD4+8SeQ9IQ9Vnmxk+unN4CAUvZvC19TSK9nleEBIPmpcdazpiNZpfh904CHZ4B3NlKGESGEEEIIIcQMGj5GiKtRppCnEmUKWRg+lsJlAwkBIcAYbf+tGrB7sv3bwgeFMtPlHwvZSkd+A+4eBsK32f95hBBCCCGEkLyFho8R4hIUFPJYljKFuJNmZqrltzvxJ/s/PQm4cxDQ2lB7iB8+Zs1nAUBmmvXvDwAx4SzLKDXOttcRQgghhBBCPM+9Y8Cz28afJcV4Sd4gLcJMjJz13dDwMU8lW1NIYep5jQ0BmNUDgbuHgHaTgHZfWPcaYbgYIM4OUnExR2m6p62R/jnN2P9JT4Bef9n2WkIIIYQQQojniL0B/NtdvIyGj+UpXl5eAICMjAzkz5/fzVuTM2VksDiA8F3Zi4JCnkovM/sYH2jhn7c2ewdgASEAOL/U+qAQH6Bc0Reo9w7QbJR4HWkQyN6T+qPz9r2OEEJI7pSZAaQ8BQLLuHtLCCGEOMuTK6bLhA5wrQbYOQF4qR1Qs1e2bhbJPt7e3vD390dsbCx8fFgt2oyMDKSlpUGtpgFPOp0OsbGx8Pf3h7e3Y2EdCgp5KrlMIX6WMf55jQ1BIYEtRaBv7jQ+jr4M7PoiKyikMBsa4MDsASrLqxBiLSF4qqL9ihCP9U8X4PF5YNRRoFRtd28NISQ3ubiGTZoyYCVQ8hV3b03eopK56U95zuqg6jKBs/+wf1Pis3/bSLZQqVQoXbo07t69i/v370Ov1yM1NRX58+eHitruAAC1Wo3y5cs7/H1QUMhj2VBTyJbhYwK5oFB6IkvlLNtQfBP96JzpugdnABVbyW+PdFttQScA4ix6PbCsN5AWDwzfC6gdS7skhLjJ46wM0ktrKChESF6j17P2ab5A17z/pvfZ/9vGAcNDXfMZRIFMm3/LaPMv0ekAyiDJVXx9fVG1alVkZGRAo9Hg8OHDaNOmjSFzKK/z9fV1StYUBYU8lcXhY1zQxZbhYwJ+RjHB4u5A9CXgzSXAK6+bf70wFb1AJylcrbN3TDAFhYiTaDXAnQPs8dMIoER1924PIcQxVIiSyHlxH9gwHGgxloaZ5EabRrKA8AfHXZvJI3TAkuxja0fw8T+AQ78A7+4AStVyzTYRt1Cr1ciXLx+8vLyQmZmJfPnyWQ4KXd0E3NoH9Pgd8Ja5ryUiFEr1VHqZTCFXDx+LvsT+D99q+/uZGz6m1wMPz7GZz3iZdAEmLqTTmD7mj6tH51masl5vDLxaK+6B5RvU+EfAoi7AlY22vTch9oq+Apyan3un9LX297L1eCaebdvHwMPTwNrB7t4S4gqX1rD/j8127ef4cEVut34EzGlhXyY+sYGVQaED04Fjs4A9XwHp8cCuL03XiYtkox1cQa8HkmLsex1xrvRE1nYHgHVDgQvLgLOLjM/HPwQennXLpuV0FBTyWHwh6awZvxRnH3NCphCf2VO4ou3vJx0uptexccA3d7ML+sIO4hkGNowAvi/OIrw8Gj5GnIXv9dNmAGGrgF9fZgHKe0eBBe2Bv5oCK/sBv1VnFxprXFgOzKwF/Pep+fV2fQE8OAmsf9f+34G4jjaTDY3VZlpeV+r2AWDLWOv3mewyryUrzHnuX3dviWtYU6tu/w/A9HJATLjrtycn0OuBS2uBJ9fcvSXuk/LU3VtA5Ly4Bzy56rz3y0iyvI4jvP2Mj88vAWKuAhG7XfuZrqbX5+zAhFxNITmHfgJCvzH/upm1gb+aAMnPnLNtvJ1fAL9WBa7Z0Gke+i17TUKU87cnL5teDvi5EpCRbFz27Lbx8f9eARZ2BGJvZv+25XAUFPJU0kLTer1k+Bj3ONOemkK+LBAkZO8kPjY+F1jW+FiIxlqiyxRfeJ5cA7Z/wm64Lyxny6Iusv+1GuDyWvZ4+Rvi97E3KJQUw4oFCgE0k+2TBK2irwCJT+z7LGfS64EHp8UnN+IcfCba9f+AzaOA5Bhg7SDg5i62PDkGiNjDbioirKwlsHcq+5/vmZBj7bFD3GPfFGBBB+DAD7a/dtnrrHdq10QgMZodx7E3c06GSuRJd2+Ba8jVqntxn/0NBId/ZtfE0G+zb7tcKS6SFV2NeyD/fEQosHEEMLd59m5XTmL3cHXiUrPqAnNbAEmxznk/TYpz3keJt8x02J48Pbo2E5jfms0aLNDrTbP23cneNr9aUh2Fvz96fhtOd3o++3/fNPkg28EZwLp3xfcgx2YCybHsf0dkZgAJjy2vlxfw5/oX94yP0+KB1Bfi52OvZ9tmeQoKCnkq/qRzaQ3wS2Xg/jHjMn7Hjzxh+/urvYGlr7GIa1IM8PyO8TkhAp/8lEVjraHTii+eyVwjQHqjZO2Nk7UNvR2fs2j8pveB/d+bPn9jJzCjAgsMAKy+zLyWwG8vW/f+godngb1T7MvMUnLuX2BRZ2D9e857T8LwmUJHfjM+ToyWb/zJ1dmSk8ylEJtLLc/JvXOE1SYAgKO/m/6t0hLYuYQ/L8q5sAz4rRpwegHwV2Ng9UDx84/Oy/daXlrLso1cJTcFmfm/jfQGLS0emFWH/Q2krOksSXme84faLXsDOPEn62CRI3S25GV2z3YK9vffMNz1Q5PyGv645W/eHOGK8xrfHvXJ5/z3d6cnV9iMwbf2smBF6guWSTq9rHPPG6kvbB9aZZgZ1s7b1Nv7xB27fDBmyxggw0UBxGcRwC9VgMvrxcsP/ghc3QjMaQbcOybulJTWXLXVos7A7zXoXA+Iy0LwLq8FZlQE/vvEuKxAsWzZJE9CQSFPJW38pjwDziw0/uzoScbLF7h3BIAeOPyrOKtB+Oz7x61/P71W3LjmaxalxUnWlfxuooydrF6Dde8Cs+uKGwHJT+UDMqf/Nj4+Nd/0+VUDgPQE4w2bvb3oCzsCR/8H/FKVZQjYe9MffYU1QHVa4NAMtuzmTvl1H52zLRV2y1j23dm7belJ7Hd85oKeFiAr483FPW8HZwBbP1QuGqnXsmwCqehL7CZTkJbA9rkrG5Wzyhw9Dm1hSxbKvWNsPyPKilYxPpYG1lcPBA7/AmwaZd177fyc/R+xx7jswWk2RPGP+uJ1n0awzI5lr9u8yWbxw+BcPcwiO4myAyS9ys/vGh/rtOJsP6WsUcHTCNbpseQ1hzfRZsk2DHd6FsH+j1EYHkZDrh0L7N07AlxeB4R+7bztyevun2CddQJ7b/ylXBEUSo0zPvbOCgpZ00ZxxrCs5GfsOmHN+5xbwjIGbfpMbt0/G7GbZqG9fGC6LVtq5iP0wIKOwJ+NrR8mtWEEW1+T5th3uKKP8THfCfD0JnBlg/3vC7B9IPWF/HMpT4ENCh25z++wUhnnlxiXOZptFhXG/r+4xrH38WSaNODpLcttbtHQebo2SlFQyGNZOFE6ejPKX6RPz5fUR7Ejgn9uCXCFi5yLUjm5hntGCksn5vEZO+kJ7P+rG1navNDIT4pl2VKz6pnfDq3kRuD8MsnzFm6s0xJQOWYnkPBIeZ2MRODkHNYDY495LVkD9MSfQKKZi+iD02x4y+z6yuuItiuFZS5c3cgKrdlj7xT2b46NQxF0OuuCV2sHsZ79tAR7tk7sykZgUYjp73rwR+D8UuDhGdve79AMYF5r489/Nmb73Pp3WSFTOUKvxekFLCAnuvg7MVPo0Tng+xLAIUkwS683bSjHRbJGybyWzvt8W+T0zAtBiZrGx/zwo6e3sgLmAB6csv/9b2bVohACjdFXWPbR0wj739Oc69uNj3NTphDfYSEEQDLTWRCMzxB5fkc8TMLSrJxhK9j/9486Zzttwd+ICjSpwMb3gaubbXsvc0EhvZ51lByY7p7Mxcx0VotDWjvQ2Zw1xIeKCjvH4q7AmQXGn50VuHTFeY3vtBTah5ZmIdPrWab93+3sq0knHIubRrIskL1WDHXd9hFrM9rbqRkXKf7ZWR1a8Q/ZcK20OOMQK4FeDyzpCazsLz7/XF7Lgt239zu2HXwbXJoZKrfP6fWsw9OaoN+KPiyIFmNmCNLdI8DjC/LPXdvCfW7W5yXFAv99xr6PGzvtK1ytRBjG7klSX1jfeflPCPBnQ5b1ZmDhvJKdnbYegoJCnspSI8fRnT1dclPOF2q0J63zzAJg8wfGn/kGOR+oubYZiLuv/D7P7wAXVxt/FjKOIrOylpK4m7dH5y2nJW8dK/75n67yvehxD4C4SHjt+hy1Hq2C9zIreo9tHUZ26GdgzSDjz9KLe+ITYHkfYH5bdrIUMrXS42EVc9sTexM48rvlRpVwMywNrlmydhDwy0vKF0iABY3CtwHxD5wz1nf9u+ymXW4WCkD+xsuSuPssQ+TeUfG+ppTJJTQid3wGXFgGFX/B4i/QqXHWZ3zptKZ/y51fsHOCtP7N8j7Aj2XEPXRPnVxc78EZFnx7dM7yunNaANOKAJfWOXcblKwdDCzuYb6Rl/zMGKgSZkJMSxBnkgjfd/QV1vBwhb/bsn1LyA4EnBtA44te23vzFHsz583awffWatLYdza3Bfs78UH+k3PEr7OUKeTOXkS58+uJv9hQ8XVDbHsvheu013/jgJ8qsOEih36SPy9c3yEuyH1sFnBijul69jo1Hzg1z7R2oK2eRgCr31a+vvDBwYxkYGFndqxpM4F93wF3Diq/Nz+UOMUFBWpzI73etgxmlYoFx625aU3Oqu8nd053SVCIa18JgQX++Fw3lA0/T3nOZhQV1rt7mGVwyLVlHp4F/mwCnPpb3OEAsOnUf6/Bgim3sjo9j82S3zadzvQ7k7bdzTH3fd8Kla97qNezQIi1mcn87y8tdp/yjH1PN3fJD8VWezvnxv35XWDbOPEyH3/T9U7NA/5oACxox7b10lpgYSfj35V3ez/7f807yhlDS15lgUGl5wXC/dyer9i90s1dbATD7zUsF2Ln98+oMPm/6dl/2BDqgz+Zf6/0RMvbmp1m1WOdlw8V2pa6TODMInb+F4bOHfqFW8HC+cSRYcW5FAWFPJWli6c9NxOim1QzJwbhBKb2sv0zBI70uG0aaXys9gFu7hFPNfv8LpthZkF7VsjQFo/OioMIOh27+M2sBcysDdUNVndIJQ1cSS/sgPW9X3o96wE+8AMQzs1c4BcgXu/aFhYFjwpjJ8lCwcbnUuPYSXFKEBvuJ0fDNZik427/agzsm8ouino9u8GXy9bhGwKnF5g+r0TIUuBf8+Qqy0AThl7xPTnm6n3E3mAXeGuznURDH/lZ++ys/bT/e+DfHqbL5YaQaTWiz/RaPwRVnggZG9y2zKjAgmbWFHj8ux3wQykg6pJxmbSoouB2Vg88P4SSH8v+8BzbpzRpLMi4d6r4eSU6LbCsN/s7/NuDBd/+6Wr5dTFZDZyNw5XXeXbbsSLcUReBXZNYTaBrW1imx1OFaWhjwtn3LtRjubaZzYS4sKN4VhlhXzkjs89fWmvb9h2bxbL2pOcHofErpIID5nukk2Plhxnp9Wz4qlAD5cQcNlRDemOsJDGaDUOQDhHV69l5YmFH24Y3Pb1l//n++R02lIDv8ZX2vIuCdynsXPjsFusQ4Hu/z/4jeR23TVoNsHaIcXixJtV8lqa5IKNOx4pYX9+hvI4lcvUuLNWvAljj+PwyyfZx+xl3LlKHLRd3KJxbwoZDHpvNOh5u7gZWv8VqYADs3BT6DbB7IiveLWVLm+P2gaxhyLesfw3/O2wZy6YEB9g15c9G7BqzoIP8a/jv49wSNj39/u/ZEJIjvwJLeyl/Hn8MWrpB3fMV2wZbZhPS680HKF/cZ8evs+ruyIm9CcxvA4Rvt7wu7/QC1iEgPV+vG8LOq/z7mRtOFREK/FSenbfMSU9i178VfVnGs5SzgkLX/wP+aMSCjHznkfB3kgZE9k1jN93/q8mCYXynjdDJmBjNrpfRV1h77+kNNqz4t2ri7+XA9+zcI836ldJmsuC3dJixTUPxLNxHbBxhuiz0a2BOU2DzaPHyzHT58yKfVc+3O/V68bH16Bw77/Hndy9v53SMLH3NdJa49e+aBlz2TWP/R11khfk3jmAZ5fysZlLPIlhJBnP2TjFdxnf6CvdU0vOhEPRQkhjNjhvB/WPA1ELssVZjHIWxfTz7/9BPrJ6SHG0m8Gs1tt9bagOuHAAs6mL/xBl6vXXBJyFLb91Q2afVZxcC/41n53/BE66tsPR18+9PmUImKCjkqSxlCp34w/b35IvtppnJPjFcwBzoSVW66eeziazh5Q2sfFO8bHY9+ZowgnVD2Q21NRebh6dFPewqpe2WG05l7uL8OIy95uZudiG4JDMWWJrJsnuS8fG6ocbx7QDw4i5rLAHA/u9Y6mlEKGuczGnBZnrjbzRERe647+FxGGskL8i6MealPBfP2rDjM2DTB6br3N6v/N3GPwT+bs+Gds1twepg7ZnMnpM2EIQGWPwjlglzYDp7/0WdgXOL2bSSq982DsNRcv+Y8bvkt8vZQwG2jDZdptOIGvwqnQYl47N6NOQayM9useCS9DlNGrvJTE9itY0ANmuIJo1lV1kqJn/0d+Njfh9e2IFlE23/BFjcja13ai4LLAo9YVJPbwH/q8WeP7fY2GuqzWBpz5EngVUDTW9ipA1G/kYi+Slr0L+4z3rq5AoDW2v3ZODkX+wGTZCRzHokpQEFYfiokMElFIeUZk1o0thzclO5SxvOlvar0G+ANW9DdP5UOl4y09m/2BvA1U2G49ZPEw/v2bWBuS2NgUdhn3l8nmXFCDVQdk9kQUF+uCSfDZnynE2jK/x9No5gwxD4wGdmBvubG16TlQWg17Pv5GHW8SoNjt89zDJ2+BuX5GfKAd3UF+w97x9nx8G2cWwowbxW7PlrW9jkB/y0v3zDTpMiDn6Zyzrlb8Rv7mIBwZ0TgON/snPpxVXyrzvyG6s1xE9ny9e+uLaZzSaz+i3lzwbYDeeBH+UzOM8uYue2f7qxmkZ6vfhvphQ8/rMRy34NW25cxl+HzDXiT/7FfufQr1lgki9cvXmMuHaTdGj0s9vAjEqsM8Yay15nN0qXuYzBe8esC7AmPGLDoM8vYcf1js+Mz+l1LBAozUgQBUS57y6em7FNKZPWmqCQTse25fgf7Nq1oH3WdVByzntx37RttfF9VodQqS7dstfZ8bvxffnnAdaecaTI7Ib32OvXvC3/fFKsKJuyRMIldg7Y8RnrENj2Ebt51enYdy8MjRGu7XGRwPRgdm6WI2S4npqrvI3piWy4tvA3uyETdNUoBIU0aSxANSVIfJMdEy4/a9Pqgexmf+0Q8fAx4dopF8QT9pPH58XHitB+3DyaXS/ntTTtlBOye/h9kK85I0iKMZ5nnlwBYsNZlht//VC66ZdjKTFLuC4mP2P7593DxgkYLnPH6uFf2fD1H0qZvgf/XWVdv9R7v0bnq+Oh4mc13jgC+LE0cPeQcZnax/Eb9+s7TIfGCaSlKpTuaa5tZoHjVQPlA193LEwKIVdKgt8HHpxm17ygcqbrCftV6LesIy58GwvyHPrFfNt364fsXmhpL4j+0BeWs30oKZYFjbQaFsSOvc6On5Sn5jMi7xxkmfEPTppOhqHXs6Dn3SMsm15Y/+4R1qkh7Ltbx7Khd5Hc8Hu5rDdBfCRru2k1wIMz8J7XDCXiL0LF7yty+Elf5FgzTNBVBclzKIXuZZLzWTibmwvqKNn/nfGxuaE1eh1wYxewqr/tnyGwZuYXayzrbftrrm5i/xoNs7zuP12A8eHm19kxAUiVS7PVsRN44UpAqVrswhqxGyhVmw0Ti49kDe+xCqmR/AxtgPgikpEobggcnSkOFK4awP7v+A3Lzoi5Ku4pF77/xGhxoyh8qzFb6elNNgRv9ySg5cfyvYgXV7JG8Ij97AZMuMi+sRCo86bp+sJJfD3XsyJkJPAXf6F20ahj7G91ah5brvYW79vXt7N/72wAqnQyLpderI7+DnSeJv5OnT197a29pjWqjs4E2osbwjq1D9Tn/mEBR6mLq1nDuNkYoOuPxuVCWnH1V8Xr7/jU9uKCfLFjw+euND4WesWKVgU+lBkqtG4okCjTkAbYzfXNXeyxlw/Qj2vYSgvK/1wJqN0PqNmL3YwULAV0msKes1SzQcmtfcYhjrzNH7D9uetPQDMukOlfRLyeUvbj7f3GrCs5SbFAweLsRv+fbpa38/Z+oDSXxaiUKbDzC5bNwB37qv6r8VLsbqh0mWwIY/JT4Pfq7Mn3D4lvHvmec1HvdTILAOsyjcHfBoMBv0DW8AdYb/XVTcArvdn2JnCBHCG4cHu/sZ5W8RrsJuXD80DRyuzcsqQney7yBGukthzHanHptcCEu8bv/2kEK0aaHg9U6y5/w6fXGzNC1w4CJj5k2ZT8Df/NXeLziNxsk4LEKGBmbWDYbvG5c4/CjatA6E3e+y3w1ip2PvpfbaBsfWDwFvH5NOU5G/ZV9y0W6PELBNpPZMfspqy/k0oNtJMMcZUGpFJfALe4IO3uSUCXH5QzI24fYH9PqYwkwCfAdLklYcvFgaZ7R9nftOG77CZYCIwe/hnokFXsNvIEUKQyEFAyK2imYwEn/rvmz8H/dmf/X1wNVOkIlG3E3jfhMRDcFHhrJZAvSBxMlrthnFmb/d9zFjtfFigmvlZe3WR8zG/Lzd3suYqtWKdK0SpA95/FgTSl4O3KfsahPgDbt5b1BkJ+ABq/xwID/77KskMKlmT7yc4vgG4/G2+uw7cCTWQyM4QMsQenWEdP1c7i5zVprIMAACZHAz4yM2fKeX4XCApmHWt8cEzq7GJg+zig7kCg91yorm5A89u/QreZuzaEb2P/CpYQ3wALN13C3+TkX0AnK+rjyLl3TNxuLFiS7Wd8wWqAnX8fnwdeas+Oz5hw1pEkBAP/G8/+JuHbjUGwjt+y9tGwXeJzcUayOKPh3hH2/uamNE9PFLeVhPfjs1IKlhQHKhKiWNYV3waXOvAjG1rc4WugzWfi5/jjKOkJ22eF0gpJMex80WgYUEEaBLGCTseyvgDWdpUjbLc2nf1N+CxYUUYmu657nZoLfwC6/VNN34sfSuqM4WOWgvMrBwBvLmbHjVJ2vy7TOMT0yWXxtdsalrJint5knXJ1Bpg+J5x/hGnr+c66ZjIdkQLhGiI3NDYznd3b8PtxYy572xD8zGD7TpVOQLWsTHC+fMfOCUDJmsZg1pFfxdfcT66JszCFffdC1rXknxBgSjwLvPzRgF3PRx6WP4fNacaCPGnxUAFo/uw36Cq2Uf79rbF7EsvcHrSRTa6UGAUEljE+v/8Hdk179X/W3S/mAjkiKDRnzhz88ssviIqKwiuvvIKZM2eidevWiusfOnQI48ePx9WrV1GmTBlMmDABo0ZZOQtMbuGswolKlHpcAHZjvdtCmq8lzqgZ4yjpcAIl2z8x/7y0eJ5gEdd48/EXX7j58cxKNUosDdG4tln+MU+4gZF6eIalXyuNVRcsaM/+N5eJ8vQGm8KUd0YhKCRHmDVHLhDw4JQ4CJSi8J0s7wNMesx6TMs1Nk2pTnjMAp3CzTNge80na2wdyxoMQq/tucVAE9MeXq9dE+RfL/SUnvyLBYUenGHfrzBs6bokMHdhOUw8Og+UqW/awEl9wTI0lDIgpIRZjfZ8zW6Shu9lN7DCckuubWbB4/JNWcNUJRNwubzWeFOUFC1uAOr17OdH542NKqFhokllvYhekkuYUm0SIfNn15fsBrNsA/azf1HjOlvGQLGn0FxACAB+rQJ8G8d6Eq0dlpjEBSilAWDBpdUmi7y2jYG/X1Xjgg1cY+7vtuKV+cwdvhdOm2667vmlpp+/bihQqo5pz/b2T4DCFYDS9YzLYrOC5+HbgFbjTLO9zi8F7hwyBnEengXyF2b76twWxuNfLiAEsGxI3rWtQP23TW8abKn7EhfJ6jY0GWl+vbtHgOLVxA1yIQMnIpQFs4TGNx9Y/LkS+/8IN6S3/jvGgBBg3YQEwvsIzi+RzyQQiM5t3N/950pQDdrmeMFR4Tx1aa1pb+x3JdhNljCb55tLbKuDdHuf6fF2/ygb3jTmtPjzzBXx3fYxy+pq+K64/hs/Sxtfg03YRuFaensfy3bkh53oMtnQoourgXpvA2XqsZpEfECIt2cy++cXZByql/TEOCRvTlPjutYMpVvRl3WU7PoSKN8M6PCVONiekWy8oYp7wPbX2m8Cvv4s4/bkHHYj+fgCC4jU6An0Xy4OLt4/zs6Rwn68fRz7/+JKIH8heGUNsVTfPWi6fWveEXfOyF3TLywzXcZ7cQ8oXJE9vrqZXcdq9hL/DQH2u1zfbpoFItSXvLnTOJRGKilGnBW1Lys4sW+aOGtb7W16PhHeX0noN+Ig276pQEApdtMpKFhS/JrEx+YDQoCx1lz4tqygEHcMS2cCXhQC1HqDBW81qawz7vI6dgMOsGUx18TZtEri7hkfy52r/pMEqLQatu88Os+ODz7I9vC0KJNWbSnDWa9z/RCfmztZjbFW42Dd6AcVqwVlC2vrV8pc7812Xkrr5AksDb+fXd+0Y4+fvfriKqD9JJYJeH4Ja39OiWfnEL79+OIuy9jvOgOo8appJ4x0eN7+70w7Nl/cYx3riVFZHVGbgXoygTy5dqfFuoAWPItg/27sYL/bnslAz9lAwyHs/CmMONn+CVC+OVCihmOf5wHcHhRas2YNxo0bhzlz5qBly5aYP38+unXrhmvXrqF8+fIm69+9exfdu3fHiBEjsHz5chw7dgyjR49G8eLF0adPH5lPyKXcWUWeH4qSFwiZD1IJj40pkpZIT+zWZKnEK6S8ChyZUnPHZ5bXccSDkyxr5tFZNtzInMw01ksmd1N6aAYQyAWcpI0f3tohyo1z/6KmDRp7awpZUqq2OJVf0gvrl2llIcj0RGBRJ/Pr5CtkmoGzoD27YW0s6XWeUdG6z+XNbmDsTZpRwfbXr+oPFCiRdSNnRYOLL/y+b5rpuabEK0CxqllFrVXsRv1WKPD6PJbRYo0F7YERB1hQmD+25QJsttBplTOo5PCZF7PqWP0yVcoz+KlLGBeYmx3r7/bGx3LZjNb4owHQ5Ufxsoen2T+/QNP1zc2Uww/n2vUl27cKlrQuMyzlObuxMqTTfyMfFFIahmOOpfT/Ja+aLru+nWVC1XvHuOzIb5aHs86sJf75+nbTYbiOurnTmC0g6UDy2vIB1JVkeujtIZeer003BoQA2wtjK3lxjw1R4Vk6h8dFGm/47SGtQ7JlDMtCAdiQj+LVxMNdlFgzGcSpeSwbpttPLFsJYJ0CUsKskfeOsH2t50zjcws7AUO2sXqDu75k+9a2j1g23OJubF9IjjXWGgnfxtow/PG3OCvTcdRRli3FOznH8lmcn0whKdo0a100k62MWXWBHr+zoLOw74T8YBoUBpSHBVmyXqHXXzqMPyna9g5MadbV05tsKGgSd16SZvjZUoNKyMrg7wH4oZ4A20eF/ZT3VzOWeWbLRCE7FSbqAFh7TFpnb15LYydM1xmmowKEWR2toddmT92XJ5fZEEq1j+V10xNZLShb2HvtBVgG4RwbM7z+amL+eUvtlEMz2LHFB4DS4o3nBqldX7B/UtLSHoA4EA6Y1n19cIoFNFcrDGXlqJ7bUZNOTlqCMUN49yQWFJJmnBcoYfq6XEil17t3jrqmTZuiQYMGmDvXOJa4Ro0aeP311zF9+nST9b/44gts3boV4eHGIT2jRo3CxYsXceKEhahzloSEBAQFBSE+Ph6BgTKNWk/w9JbrZsEhJDd6b684yFK2oXUzZtlC5QXU6Se+mL7cVRR8iMtfHoVS7WzMEmXvhYqz87LbuCumN/zEed7ZwGZP4WsjBZbNCvhyRdd7zZGv72VOQGnzhaU90RsLWYbnWdNCpf/VmY8elyxkR3kCPgMnNxm2mwVrLGWPKJn4kNXekiMM87TEy48F2uWyF2xRuJJ8QIcYdfjK/FBXqa+fsbbLPyGu2yZnaTaGZT7bo8NXgG9B5RlkSe5TqQ3Lbtz6YfZ9ZpvP2WyUAFCyFvDBMZaxJASlu/8qP7TXQ9gS83BrUCgjIwP+/v5Yt24devc29vJ+/PHHCAsLw6FDpj0wbdq0Qf369TFrlnHYy6ZNm9CvXz+kpKTAx8c00pueno70dGNkPCEhAcHBwXj69KnnBoWeRcBnnkxxY0KI2+i9fKGytx4OcRp9QGmocttNfh6n9y0IqL2hkmbGEZudLz8CDSJtmD2SEOIy2gZD4XX+X6vX11XtAn35FvDaZ2d9JkJyKH3J2lA9kRmm6MrP9C0IFTcBgWZSLFS398F7DavxpO38A3SWhpjnYAkJCShWrJhVQSG3Dh97+vQptFotSpYUj68tWbIkoqNlpvgGEB0dLbt+ZmYmnj59itKlS5u8Zvr06Zg61TSFeM+ePfD39zdZ7gkKpj1CR8ur5UhRQQ1ROt72DI37RdqgwvPDLtiivOla6TdRM2qd5RWJ1TwtIBQTUAslEq+4ezNMxOcLRlCameKnZqR5B+G+f2NUS9xqeWXiMfhGm5xMdT5465w8o2AuJRcQulD+PdSPNDP9sZukewfALzPR8orEIz0rUBVFk62sU5dL2RIQAgB1xG7ToY0kR0vyK4WC6fL3tc6ggxpquLjWbDbI7oAQYNq28PmxOK6W6Y9Xsn6+fvUibj1VqHXoAVJSrJ9Ux+01hQBAJSmIqtfrTZZZWl9uuWDixIkYP3684WchUygkJMRzM4VibwBWZADnRCWLFQbsyPguV6MR9NceQOVAKrJmUgx8fvTssaHakJ/gtceYTqsrVRcqXSZUMVfNvMpU1Z7jgL8tB4X0hSpCxRcbJDmWrRkyxSrXA8LcFxTSlaoLFCoP9fVthmXaZmPg33EqtPunwevEbJvf08+/IKrUrAs8sT4opIcKKovz8+YN2iajoHpwCuqoCza/Vu+dH9qB6+G9tIfpc6XqAM/vWAzu2Etdrr75gvg20pWuB3VUmNPeL6er1Xs8MMu6oFBm36XwXi8zu5mDNO8dgM+i9qJlPtU6s0kRCHRlGkAtVysmm52pOBaN7/0JANDVehPqK/Z3LhV6uQVwIfcFhbSdpsFr7zfu3gyH6YtWgcqaIuiW3se3AFRKsyXmAf5lXwHuuDAo1Gcx9HcPwuv8Ypd9Rk6gbfoBvE7Ntbyig155bKwvVr1yBbzcprvLP9NVEhKsrGMKQO3C7bCoWLFi8PLyMskKiomJMckGEpQqVUp2fW9vbxQtWlT2NX5+fggMDBT9AwAfHx/P/efl1j+d9eoONFmkVpr22QKvmq9C1etP+ScLFAeKvWzxPXx8/YAg0wLm+CjMpm3R5ytk/crBWYXVvPyA4fuASVHAawq/hxW8CpUR/az29TcbRBWp3IHN+KP2gU+JquLnRspkYXX7GaoK2TxM8Yv7bEYUYmrASjY7ggJVFQuFqQEguBlQoRVQtArUtRRm67JGIUnh6eK2z8yg7r8U6gHc37pCK3h1/Bo+Pj7w6vIdm/HiawuzSRUWz8yk8vKBl7cVBSP51/h4SMZoGxsLXNrBq8E7UA/nisV2Ma3tBwAoWIr9H2isXaL6KhreL7WSXV3V+lOoJj0CvrEwPS+vdF2gqWRmUeFzJdRePspTJttBrcsE3l4PlG8BDN0BfChzMy6dSYXnF+T4Rrzc1fH3sJJPoHybS453lXau2YYiFYAiL4mWqdU5ou8y+7zcDajWA2j1CfBlJPBZBNBqPJAvCOo+C4HPFG7QSzpv3xeZEg+0n2z4MbPPEjwu1Mjws9XtuQbyBce98geKZzE0xzeAzfpm1SxRMvLJHJPe+ex7L7NU8Goy3PJqTZ1cYN4FVD1+c877tPjYKe/jqdRa12axeucvCK/XZrr0M3ICL67zTlejl5k1LajSidUftOYzdRnuv+d38J+13BpZ8PX1RcOGDREaKp4xKDQ0FC1ayFdbb968ucn6e/bsQaNGjWz6xT2fh/RqN5O56NkZFELZhmxawPItgFckN7N6HZs+VDDqmPL7dJIZh12kkukyQbuJwPD9okXaLj8pr1+xtfjnt1YDff8BvrwPlGvEpoct60CRcJXksNVpWfV8q17rBYy7DHxxF/D2My5v+TG7AXvtD+OyLtOBpiNNZx4S1Opj+nPDd4GPLwFtFKZcl5I2BkvXA/IXEk8VLgixshCjMFtZIZngnzMFKhTydJbh+9h03YJWnwDVurOZEZQuZpZm6qjSCXhvN/Duf8DYs+Jp65X+znLaTWKB1AFcQe3SddmMNUP/M//at9cDnaexwsHC1MOjjgGdpgCDNhmnVBZIp52XqieZpULtA9ga5NE4uQez5uv2vza4qfJzvgUsv/6lduafH3Oa/Y2k0yILStUWf+d+BY2P201k/0YcAMaHA5/eBJQC9QAQFMzOB++FsmmlAUBtZbMjKJgFqrv+JJ75412FNG6VF9BWpiCp9HzM8zHzfWozgKqdgWE7gYotgYIyGabtJJ8XUIadNwuWkv9eGg41PlZ7swKW5kgDwC+1YwGqwHLs2GvyvuzL7OJlQ/spXxAwNmsIeAX5ICDGnrV9G7x9TWd5UalMrr9WsfeGe/RJ88fQe3uBD46L1/ninnidrj8BdfqzoqXSGY3K1Gev55XmZuB581/grZXsfJgviO13Hb9hnSVFKwMFiwONhrECvG9wwwAHrgb6yUz3/pI48wqV2rJ/1hCOnbYTWHDo2zjoq/cQt0FUKqCvFdkJ/JTsvEIVLB8Hgs5TgdfnsOmyAeXz/JBtpu0kQL7d9fFFoERN1rHoDO0mAqNPsHP12LPA63NlO0cBAAXkO7INKrS0/Hklaop/Lsp19sl9B5bw7ZrPbikfC6/OZOei/IUtv6dPAaDFWNY+lHJG8NzVqplmvpol9zs9v2tsk74+z/FtkrJm5jRXGX2SnessaTeRdfi2mwiMPmX6/JcPTDt9gpuJf9ZqjA972tm5rlJntT+tnFG3xmv2fY4Hcnu6yfjx47Fw4UL8888/CA8PxyeffILIyEiMGsV6BydOnIjBg41pyqNGjcL9+/cxfvx4hIeH459//sGiRYvw2WcunmI7p9G7YOyoHT39Ft9PeoMH2HehEqi9WCP9TUkjRKcVB5tKmTlBSQNKXn7y6wkqtQHKNQSqsJmN7hbrCH2tvuwmXc47klR3/yIsYMJ/F9aejKQKlgQyJONDH54Wz8DyWQTw1hr5i7lKBfgFsH8A8Or/2AwjHb5mPzcYzIIRbyw03nD4FzHtgW/yPgt0Df2PNU57zmY/95zJfrcOk4HKVlS98i0o/rm3cLGU6QmU6+UL+Z4FKHhjTrEe1o8vATV6smXlGgPD9ljeHlu0k5mCU0lAadMgmiXlGokbD83GGIM4SjdwmenAQDOp/HzDV6US7/tNPwB6zwdajjMuK16DzYQjFdyE3dxX51JqdRq2n1RsxbahZC3g3V1A8erGdT65xm60W37MAlSCUrXY8eStcONgTsuPxD97+bAbMiW1ZaZJVdJ7vu3bA1h3fvbyYwFuqX7LTBtCApXxHKeXZFQYWAqIFa/G/kaf3jCuW7MX0Osv05tVQNyTHlCaBULKNmB//4CSQOX2LINtrEyduCKV2PkguIk4APnBcaDbL/JZm9LfQ6UST7stBH2l1N7y15tiVVmwRmrEAbZdApWa3fALuMYnAHbO5I/HwpXY/t5rDvtbDlgFjL8GNB8NfHYDqCJz/uOvfbpMy4EYaZZMszEsQDX+Kjv2uv8CfCUzLbySMg2sX9eSYlVYI37odtPn+q9g37utvPxMs+FUanb9/eK+/Gtq9WHXn4bvsuuY2ocFBzt8xfZLJUKmI38DV6kNUKKGeB+T3sgGlQNKvsLeu0IrFrzJX5jdZHjnY8dRsw+AN/5ms9h8HSt+/YgD7EaeD/gHBbPX9Z4P+MhkrqhU4uOnx+/A57dYJ4HAxx+o+Zr4e+r1FzB4s/i9hmxl/wZJlgv4IIO0c0YpI1ku47TdRHEmXUP5TCGUa8yCXZb0Wwo0fo89bvUJ61gYvk+8TpvPgfcPsr+j0MbhpUuGrlbpBASUYkGcMactb4M12n3J9iGAHQP1BgK9FYa7mAtKA8DbVgzL6/UXUKuv8ecCxY0Bf37/sEaP34GPzrNg/4fnWQBSSdUQdi56y8LsdL3/Bj48y4Jk3Hk8IV9ZaD67CwzZYts22qP9V7atH1BG3Dbtv8y0nWnO0G2mnVUFi7Njf9AmoO4ANlqgahfz78O3xeTwHTtyGZVduc5r34Ks/WDN/VfI98b3e3cXa6+ZU6KGdZ0KDYawNnm7L4GiVcTPVesB5AtkAXG+g9LLB6L7gax2dGK+Mux6326i/Gf1X6G8HYb2mRUZhwVLsbZ4HuH2oFD//v0xc+ZMTJs2DfXq1cPhw4exY8cOVKjALthRUVGIjDRO31ypUiXs2LEDBw8eRL169fDdd99h9uzZ6NPHxhsuT+eKoFDz0bZlC/DkLm7dZsin5lo71MmS2v2Mj/U600i50klBrQaajzX+nM9CXSnhxPv6HGS++gcul8062SulHVtzY+tbAPj8tvlebCmfAkDID6wxLsVPIliwBFDNymEHjYaxnkn+hF6uEVDnTXG2wJtLgPxFWENgSjy7GQHYzeWXkfINvqoK04Pzae58FkLhisbGlNwFThpAaj4WaPEhC87w+4JfAAsgqVQs86nbL6zhUr4puyA7i6VhDXwAZsBKFrAxp9vPwMC14mX8scL/PV5qx7LmpLQZwMsh7O9kaZsAoEILlr3Q7Wd2XNQdIL7IDlgBlG/GeqortmY3Ej1ns0CAufd+OYTdEFVoLt63ghRu6C2R+13rv8OyVbz9xIGejCR2TCsFhopXs/5zvWUCxvXeYTdgBYqzhgx/cyew5vzcdCQLcPOG72eBFj4IIvjkmijwre2mkNafLlOUV5p9AbB9a+RhoPWnrNe3/jvsZleKP8/JBWYBoHoP+fOSTuF7KPkK0PR9oEw94zLp31i073PnVLm/CcAau3IBsVK1WXamVOm6gDA0okwD4NsXQHBj4/PSoBAA1HsLGHcFaDbaeLNd/21gchQL0vDbLN2WJu+L9wsff+XsCYA1xqWZBKnPTdeTfh/mrimVOyg/Zy0+aydfIPudX50JlHgFGHOGBfyqZ/WsB5hO/GFQRCYQ4OUDVO0kHqondG4ofVfBTdn1p+dMoM1nLEjWfiK7tgjbIWfodnY9/YSrqeZfLGu7ud7qV/9nDF6WqgMEZv1OvgVYxqXQOVSlEzDxETuOeCqVMVOk2WhjgEca0Kj/Djv/WkOlYjdEfgXZPtxlOuu8AVimrTCUXvh7D9nObsIGc3XWynIBQv76WbgS+xvWfN004G6L4tXFN5NFXgJGHjHNLCn5Ctv2SY/lM/2E7RcyDQG2n7T8GChZkwVjA8qw7KAOXxnPxy1ktl06rTR/jfAvAjTO5mmn+SC2XyALLPJ8CxizqZuMBD66AEx8KM4GKloF6MvVAvPJzzrGxl9nQZ6ar1s/HL9AMXY+CShpPlBXNQQIzAq0l28GTLgrHh7IBwPr9jeuy9FDzdpqZeqbZq02G8N+T3vItfutzU4VFChq7LQqWYtddy1ldfHyFWIZbSOPGJf5BrDvt3IHdvw2GAS8zbX35MpfNB7OMs2U8Jn2cu3RZh+wv82Y08CkR+wYk8vW4n1wnLWtx19nQawKzZU7NAuWYkFx6fa/sZC1yT6/DdQfZFzOtwX59myNnuz7Alg2X/Mx4tfwGdIVW0Iz8gQOVcuaPEqp87l6D7YfOapEdcvr5CJuDwoBwOjRo3Hv3j2kp6fj3LlzaNOmjeG5f//9FwcPHhSt37ZtW5w/fx7p6em4e/euIasoT9Fpnf+e/kWVo8hyPdo8mZM+8gUpBIWctNvxN07pCaYnxQpmtpm/GAs3OtJhG11+ZDfIwsWxYAno674FvfA5fCNVqffanALFgOSn1q3b6D1g8mMWrCnTwLTx0G8JuxC9+a9xGR8oMrAzIFe0Mms8v7XG9Dml4YCNR4iHPxSrxoIyQ7ayhqyXrzg4xyvbwDTwwff8vbkE6PKD/HO8/IXZzWeBrMb+S+3FFylH8PtxvXdMn3//IPs7ff2M/T5ZQaGw4KHi9SZFsUBb05GssdVzFjBCZrgEH/QsWAIYtst0ncyscetKWSTS41SlYp/XlJtu09uPZcWVb2Gs19P6U3YTVbm9aQCw/3LWCGyrkDnljOKSA9eY1sxo87nx9+n1l3F5XFYnwht/A31kCuc2eZ8dQ5bOaYD8+SuwNMvG+/Qm69XqPM10HdljT0LuuBECViVqsJ7EDlwPZ1BZ0TlHX7G1fC9t/kKmy0rWNF0GsJ7sjt8Ybyh5LT5iwxf4ujZyATBzLA1n5Bub0v2Z/w6DuCENSp0KmWmmWRadpwENhgIamXoOai92XpsSD7x/wLi80TD2fweF3uVCwUDX6cahj8J7SfHb2XUGC6TzQaF+y+RT/nvOYtskV8tN2rsqJ38h8fBpH3+WAVqpLTuOrcVniXT5kWXFTHzEsnakGr0LjD4OFH+Z3eQLv/uwXew4HbrD+J6dv2OZhHIBKuF1RSuz4Fu/pcaAha8/u/Gs+5b4Jld682rtDWCh8mxIC98pJAS2+WCWSgWMPMQyJuXq7vGUhrr2nMm+A/5cwe8zSkM5rdF4OOvQ4406ym7IhPNjpdbAh+eAl7hhY/y+19o4EQtKVGd/w35LrBzmnvU3k15XfQuK21ne+YDSdUxvfoUbRd8CLJjHdy40Hs7aCJXMBDqrdwc+DWfZQbxWn7BAkeDlbqZZotLfr8evwLuSQL2zCNdHrj6TqM3a6y9x9qzgnY1smGDnqey67hfArm0CISgs1F7rMJm1ewJLs+BOvyWmQwgB64f4A6ZZ1m+vE5/f/IsAr81m567+K6y6/nnpuE4y6bm264/KbTpLarxqWu9Q6Z5j7FkWJJHW6erwDWujdviaDXcHgIptTF+vRNh2PsNe6bolDOWUC2YVLGl+KDofZBH2JaGdJOwP/kWM7QqffIAm1fia0SdZx6qgzyLj+btgcWPguMQrLGucP8a88wOfXjcGxbtMZ4HtYbvZfUqfhazdzWeMKmUTNRom324B2HnqzX/Z31AYZlqsKrTqrP2e78jhqVRsO6z1CTdRj2hYtpOSGDxEHqvgl4tYc9NhjVK1geisKQD9iwHxMtF5/2KsR/uPhoDSLASBpdmN6n2uMapSK6RC2xEUkivoKa2vUasPG0ol3MiazeTgDnShd27wVuCfECDqIvu5uYUoM99DW6AYkPDI+HO/ZUDYSnZiNKdAMSDW/CoAxDcgKpVp46FyB1bXgL/wNPsAuHuIBRoisi7qjgTkrKlnwvPyZgGEbVk9dn4FjTcCjYezi7FSQEntBQzeAiTFAL9mXVT4nnfpzbpcDSI5KhVLjb0gU3vBVnyjpfEwIEzSGxdQRnwz6+UDvXd+aLwkGQR8FoNKJa47wjOXVSAQspFafMSO5WIvs8bBkd/YviDtxZajUgHvrGfnGGuy+mr0NA7Tk9N4OLB7knL2kjXyBbEexz3cdKXe/A2HH+tpTZfU1pKrA5MviAUB7h8HFndjywasBFbL1H2Q+871enGGm9y+p+eC9mNOA381MV3nld6my/hjrEHWTZZvgPHGt04/6I/Nwn3vyigLANW6sQDenYPse350ju3f4dvE72vP9SLkO+PjD88DqXG2D3vlvwc5NXtlZZlkZQh2+ZHtK4B4+FWJGixjQ7hZDygNSGfZ02aIzxEVWhozFTJTYbXuv7GGrjNqkjUfC9zcxTKMAPHfoWon4Kpc5qLkmBuwEtj4PguuWJPG3mwMG46pUrMg1IAVyhlCdQcCF1ea3nj4FmSdDClZRd6bj7F8PZRTuKLxhu/D8+yGXwjC3OYyZQauNa1JUSiY/eO9ltXJcInrYXekPp+U0Hkgvan0L8IyIuzl7ceG2ki1mwRc36YcgHTk85Qy6gTSc1uHr4Dr/8ln2JgjXCN6zhZfV30LsJvJSm3Z9ypc60vXAx5k1ROR6+XPXwRIzmoUOVLkWO0lvoktXZdt69vrgdv7WYBILhumQgsWuAz92v7PltN+Ejsf+RYADggdWtz5QCngW6AoUKefeBnfHhT+jl1/YgF+uXaabwGW1XqDq/cnlz2plOFavikLbO+yMGReaLtcWW9+PQDeugzjD/x5W66gv61GHAAenQVWZn1vKoV2ZrGqxs7lkrWAJ1fYdfnlrLZKG64sSfGXWW28sBXAuX/l3y+gNNvXhYlorGk/vbMRSItjrxuyDYg8xT7fyzdr1IEvy3jf+qHpa/nzlBCQfmcDcCtUObuHvxaWqMHaC52/M7+tXt4sg0ilAqZm/W7adPFrChQVd84J+Kw26Tmn0XtAzDXz2a1ePmzUwaQo+ftJgA2/jX/AHnf/1ViyQGk0hxDIKlOfta8KlWdt9bfXA4nR7Ls7nRV4tdSxlctQUMhTWWpsWysomN1MJT1hB8hjM9MQS2vZ8Gq+zm7yL68DNmVFWdVe4hs3gT2BiQEKQ8EKVwRe3GOPm4xgB7dQJ8LcTTS/Dc2yetl88rGe943vm6YZy+FPFtJhOTVfY/8s6TkL2DsFiLtvDEbJ4TM5lEhP6tW6sQtsofLAd1mNXXtqtjiLdDiFNCAkd+PKp5rz37e0wdt8DHB9u3UF4RydzabLdLbPleN6KNTebDjE89vcMsl+/tYqZGo0eLxjB3DPulkPkJ/L4LBmu4WgUFBZ8THT/WfrPo/nrGGeTUexzBy+mKo9Gr0HXFgBxIazn6X1Y+oNBE7NEzcEzPXA80OhCpZiwR3hJlgge2Ml2U9L1GQ9S6e53ls+U0s6XK3lOJZZITTs8wUBafEs20zuO2/GZcLmC0LmmPO4uHMnDLmJ/Zez1wdwv2vx6kDsdePP9hb3F1hT84NXvgUQeVxxxiEDlYp9F4LmY1hm0u39pjUZhAwegDXcT0qOocx08T7BHy9ymUJK1GrnFanv8oM4o7H5GHbjLGQsyM0YJd0Hqvdgqf/mNB4BnFnA9iEhw2h8OPD0pmkGBa9sA9YrL9zEvLsLCP2GDf3e4oTUe550H+KznYObWFewVsAP77L0ujafA4d/se59he+qSkd2LbGnLpIt2n1hW206Z+LPCUHl2Pdkw+yGhinGhQ4q6fXOtwBbNmSreHnbCSwwmL+IfCdFn4XA6reBjk4Oygjng6qdlYe2C6wtuh5Qmh1nM2sbb0rNkQvYvH8QSIgyZnMK505zMw/6F2H1z3zyGc8XKpVyx51KxbJa901jHUQAC9hJmes8CDBzLZXqNBV4HCY/0UzID8CeyThfYQQMLSj+vM0f2/YqUFTcCWXNPceAlawzhb/OSAU3AR6ZCVp9cJydS20ZrublbQxGV2ojf75uMBiIvQGcyCqsPGAVu9dq9yVwMisQI1yzAkqa7/xrNIx1RvDF5q1p60l/J2tLmPDtPuk92au/W369cCwqBYQA8d+30XvGbeU/r+M3wJNrLDgrtM98/VltNuEzhPMCf22yte3j4Sgo5KmcVVNIpWbjtaHPaiTIXBSEA04nU2NB0PBddiDyB65KbZpO3fEboHpP4NpW4/tV7sCGUZVrDJyVGe5hrmBxte7GmwO1l7jwrdmTCF+vgrvxCywjXzhTDl+00M9CXSIlRSuzInZbxioHhXrOttzrZ+79eZaKaruSXBFYgAXlTs6RH4bDN86ECydgmlqcvxArFmkNR4JC5ZsbU/VTuPoeKjVL2d/1JXB+if3vL1WwOAtU+uS3rqGhtVC3yB3UXvJDYWzl68+OzV+y9mlpL1DnaSzDoQaXVcgHaztPE2fY8cdsQCk2XOVHSQ0UtTfrNUqKAe5l1QeQNpxVKjY0iA8KtZvIghRCb92AlcCNnax2k7SHdtRR4OZu67K4hM/j+eQzPdcN2wXMqGj8uesM4N8eysXxne2dDSx4Z09h46KVLTfEOn7DzgGHZhiXSTOF+Jtevne05cfinvbsVKIGG4Il3LwVq8Kuv1c3cdc+O4KxXX5k9VH44X0BpWRvsLT1h8DrQtY5SqUWB1UqNAeGZ83u2uUHYFlv8fACZ0qLNz62dQaiiq1ZAdvSdSyv2+ErdqO1hMtmlH7e6FPA8zvGbCC1F7su52YqFRs2o82wa6hO5qiT8Hl6XTnAolTwvkAx85lRpesAn1xWft5ettyo13sbODUfeHHX/Hq6TPY9FihuXVBIUPct4N5RFtwW6uoI+i1l5wNpdpCU0rAZs7hzS9XObHKQ0vWAP7LO0+buK2r0YucCc7NjCgpXAD4Ok3+uxVho6g1GbCg3ZFcpmO8I/jppzXsWrsCGk1qi1BZv+6X8MGy57bEHP+yrenfjvc5HYaytYW1QvVIbNgOxuXpvzhRUlnVcqX3s65yyJkOe//uK7u24+4eG78r/feTuE9VebD9PjGZDCfMQCgp5KmcFhdTe4oul3PsKB5lSGl21Hsb34G/UpCmbrT8z1jSY9Aj4PmtoR2BZYwFgaVDovVDTma94Hb9hB3CNXsrryOIvGHb2omu4zKmO37Chc01HKa9vlkwwbswZ1mNk6WbRlmLV7swUUroIdfkRaDVeeaaLgeuA+Mis4rSj2LAoR2bRsafR0eM31nvAp+RKexN9/VlP6/klFgu66r3zQ5WZat3NULVuys+1/UJ8Y5yZobxublCgGJvtydvPdF/29jPtXc5fmGXNaDPYsBo+SB1UjmVs5C+sXABb5cUazgAwJetvpZR99FI7NoyrZG3WE873glXvoVz0tlB56zITbZG/MOtpvrmLNQKLvwx8dtN52V+W+Po7d1iPlE9+1uNXoDiwIyvFPzNd3FPO17J6qR3LPipSWT74nJ34oYcAq5fCD8u252/k7Wv1TaIu5AdxUEhJ5Q5sdjFLEzHYKy3O+NjWQrAqFRtOavX63DW++VhJzQiwOjp5rKAoAPOzS1kSUBooYiajzt6OLFex5bqfL5AVdT79N7DTTO0doRi90jAVJb3nsSL8cvt9weKsDqIr8OcWlcq2GVHVajbUyBmkHYSiYL4LbkvNdRDbqgI3DLRQeaDPP3YG6GzEB4V4RSrZ/l7OyoS1lrnyApbI1d2T4q/7ShNU2GrYbtZuzGnnMRejoJCnclahaWlBWnPpo1qFoBDfC8sfhNJgCx+l9fZjxcPOLzVWrwdYgEPokQfEUwbL8clv/kI1Phz4vYbpcr4xbO+NEn+SLlKJTfFs73vJfe/FX2b/LJErTqhEqQCxK72xgA2Z6Pit/PNCUTslL3NpwN1mKK9nLaUgYMuPgQvLTYcQAewmW9qAkrtYFQpms2ZYmGpWO2gLvA/+4Hgjq91EFjScmRU4FQpN52b137a8jkClYindOq1p1qJKZbnmF99o77eU1ebihzvx+ixi57O6b1m/fa7Uex5wdbNx1p7sCghlpyYjjEEhrWT42HOul7/3fOD0ApaGnxM50ni1lbckm9ccVwWEAFajyh1ajnMsGEKsY2+hYFexZmIBnjDDm1SHr4D9WddtoaO0UDAQaeP22BoIdQal471sI1aPzhmzE9qDz3Kxp7xEhVbAwzNsAgA5tgbtzCn+MptVrGAJG4e6OXj9dVd2q7tZ02mvVFOUb6PbWhtIpcpzASGAgkKey1mZQnwhNcX3FTKFFIaP8VNtixqckpNgfknq3iu9TYutvvYHMLue0tbaLrCMfFFSucwcW7X4ELi4itUyARy76XKkcLg1F9GBa4EbO5wzRaOt6vSznAqdnZT+TjV7sTHlckEhub+PUo+WFY1hfZkGprUW7KFSiXt9tLk8U8geai/rswGDyrOsNANuX6nZSzwtslSBYuJZfNwtf2HlAFZuJM2SS44xPi5Ygs3Kk1OJGp/ZGLxzpHiyo/jhY67Gt13yYEM/23T8Ftg3lT1Wmk0ou427zGoA2pPNIVcTsxzXUSlkCoX8wEogKE0SkVMoZYi8t4d1KNk6mYizFK/GssDzFxG3zzp+w+ogWfJSO2DwZuVaUF6+bEjzta0s0H38D8e215phqwKh4L+52m7WaPEhm0hDbtKd7DRoM7BpFKuHmh2s6TBRGrbHd2rktCB1DkVBIU/lSKHpyh3YdJTlGsmcROVqClkYPsZnzPBDOoSU7Vf/x8ZP1+5reduKVGKznaVYOVW7vfihX/YqUonN+OWMRqYjQT5rgkIvd2H/iKlWn7DpdItWFhcftoQPNMg1Ht0hL2QKudLgzWxmmCsb2M/OmuWRuJ5QT8s7v22zjeUE/HU4GzK6dtWajY5Na8NHWgQ9O/HDx1yNDxg6M2uAiLX8mAUaS9dz95YYFSpv/3AZuWFH/P4jBBsLFgcGbbTvM7JT3bfYBATSkgNqL/cFhARyWeCtxlsXFKrTz3xx8EIVgHINWVb9QSdkm9viw/PAnQNsEgBH+PqLJy1wl8rtgc9uZN/nWVP0XSlTyMuHBYX1OuWapkTEDfmLxCkcCSIUKMEKSsodbLI1hYRC01xQ6E2umK5iplDW6xoNY3U5rJ3RwdGZcqyhND7XVk7rdZTcfFo7xTrg2DTzeVVnbrptqIyFbfmgUHGZYYc8lYrNstHiQ1YwNifI7TWFXK1oZfG0qs7KyCSuJ8ygNWQrqzXUe75bN8cmXtmbKZTuU8h8rb7s8FJ79n92DIvgMyitbYcQ26m92JTuctOdeyK5zh5+//G064Paiw1Z95QOQmsC5B9dYEWi5by1mk2yUI6rb5fdw/aKVGL3QO6s5+nJHAkKASwgnFeH3tmBMoU8lc7Oi1HF1uYLbcr2jMucmF95HViX9VhUU4hr3Nob3JEWqHYFW6a/zQ78ia9ad/OzcwiEoS6ecoHPSVp+xApWX98ONB1pXM7PSDVkG/CrhWBPq3Eu2Ty7UaaQ49Qe3OjPi97ZyIasvJY1XW9wE+CzCM+qoZTNmUI5QrcZbBiGdAi5K/BBobzy/RLHyc5MRLdNOYq0LAVPbpKO7Li/II6r8RoQvpXNGmaJLZ3oxCw6u3kqe29WLE63bma4RJ9FwIb3gO6/ipdruBtRPnPG3pOvszOFStc1rSnUfAzw5CpQ6w3nfpa92k0C7h8HGr1n3bSYADD2DEvBt6nYHTHo/jO7MeFvEvhMoQLFsn+b7PXq/4Dtn7BiyMQx/PmHgkI5X5WO7B/P027882Kdm/yF2HU4O1CtNWIPuSEnlGmWs9hapD87RiIQx/Vbysp8WDOsMVBh9lhiMwoKeSrhZsXL17kNnlfeYGN4y9QHHl9gy4ThSbX7siwWaWpwplJQyM6GubOHQ732J3D4Z6DBEOMyvwCg/zLnfo4jgsqyNFhb+OQDfCgg5BDpPhoULP9cTq8t02gYUO/tvHlz6WyivzsFhUg2yObhY3kO1REi9pDbbyhTKGexNUhHmUKeQaWyvs7Vy13YvWvJV1y7TXkAnd08lVBo2tlBoSKVgAl32TCa77JS8vg2qtxYcT4oxF8w7b2hcvZFt2BxoPsvzn1Pkjs1HwPcPwbU6OnuLbEdBYScL7CMu7eA5AV5cfhYdqr+KlDzdffOtkY8j1wWCmWa5Cy23i9QDc7cR+0FvLnY3VuRK1BQyFMZMoVsiJK3mWDdekrT+ykRzT4mU2jaVnTRJe7iV9A5U8UTzzZsD5sBsUgld28JyQvcNSV9XuHlDfRbYnk9Qnhy7WvKFMpZbA2i0/0FIYro7OapdEKmkIXsgLINgUfngEptgA6T7fwwSyddbmiNrz/QfjLLHipYwr6Pe+0PYHF3oNO39r2eEEIcUb6pu7eA5CV8RgJlChGSM8hmCtFtk0ejoBAhiujs5qn4mkLmvDoTeHEPeKmd/Z+l1Eit2Qu4tgWoP0i8vK2VGUlKyjcDJkfTFI4kB8nhNYUIIZ7L1mKphBDXCygNVGgFJEUDz26xZRQUyl5jzgDhW4D93zvn/Wr3A4787tg9ESG5FJ3dPJUQFLIUOMkXCNR8zbHPUhoG9vpcoO5A4KW2jr2/HAoIEUIIyQuoHhghOY9KxWbsTYwCfq/Blqm9gWajgZNzgLpvuXf78oLiLwOBo5wXFMoXCIy7AqipthAhUhQU8lTWZgpZGl5mFYVMId8CQLWuTnh/QgghJI/ia5fQjHeE5BwqlXj2UbUX0Hkam4yibEP3bVde4uzZAykgRIgsCgp5KquDQpRxQwghhORYfOeNM2cTJYQ4TpjtF2BTmnv5ABVauG978hoaskdItqBwqafScVPSm+OMYVhU+JLkdXqqKUQIcRH+Ok5BIUJyFh0XFKJCxdmP7kEIyRYUfvVUlTsAb29gPRZLzdQMcsbwsSIvOf4ehBBCCDHlxTXFtBr3bQchxFTBksbHlH2fM4w4AASVc/dWEJKrUFDIUwWVZf8yUkyfq9IJuLWXPXYkU2jYbuD0AqDLD/a/ByG5AmUKEUKyAWUKEZKz+PoDn1xjnbCUKZQzlG3g7i0gJNehoJCnk461bTQMeHHfOe9dvhn7R0ieR+nLhJBsQJlChOQ8QWXdvQWEEOJSVFPI00l7LXSZQHqie7aFkNym4btAsZfZTCOEEOJqFBQihBBCSDajoJCnU3sB3X4x/qzTAjpqVBLiFD1nAmNOs/RxQghxNbp+E0IIISSbUVAoN2j6vvGxTgtoM923LYTkNjTzBSEku1BNIUIIIYRkMwoK5Ta6TPaPEEIIIZ6Fho8RQohY3bfcvQWE5HoUFMpt9FoKChFCCCGeiDKFCCFErGxDd28BIbkeBYVyG62GgkKEEEKIJyrX2N1bQAghOVeHr9y9BYTkSjQlfW6j07J/hBBCCPEMH54HHp0DavV195YQQkjOwtd2bPO5+7aDkFyMgkK5jZ5mHyOEEEI8StHK7B8hhBBCSDaj4WO5jS4T8C3o7q0ghBBCCCGEEAfRLLCEuBoFhXIbnRZ481+gxCvAW6vdvTWEEEIIIYQQYh8VBYUIcTUaPpbb6LRAqVrA6OPu3hJCCCGEEEIIIYTkYJQplNvQzGOEEEIIIYSQXIEyhQhxNQoK5TZ6mnmMEEIIIYQQkgvQ8DFCXI6CQrkNZQoRQgghhBBCCCHEChQUym10lClECCGEEEIIIYQQyygolNtQphAhhBBCCCEkV6DhY4S4mluDQi9evMCgQYMQFBSEoKAgDBo0CHFxcWZfs3HjRnTp0gXFihWDSqVCWFhYtmyrx6CgECGEEEIIISQ3KFDM3VtASK7n1qDQwIEDERYWhl27dmHXrl0ICwvDoEGDzL4mOTkZLVu2xE8//ZRNW+lhaPgYIYQQQgghJDd4uRvQZCTw+jx3bwkhuZa3uz44PDwcu3btwsmTJ9G0aVMAwIIFC9C8eXPcuHED1apVk32dEDS6d+9edm2qZ6FMIUIIIYQQQkhuoFYD3X9291YQkqu5LSh04sQJBAUFGQJCANCsWTMEBQXh+PHjikEhe6SnpyM9Pd3wc0JCAgBAo9FAo9E47XPcySfrf71Oi8xc8jvlRML+klv2G5K9aP8hjqJ9iDiC9h/iCNp/iKNoHyKOoP3HNrZ8T24LCkVHR6NEiRImy0uUKIHo6Ginftb06dMxdepUk+V79uyBv7+/Uz/LXXpl/Z+Wmow9O3a4dVvygtDQUHdvAvFgtP8QR9E+RBxB+w9xBO0/xFG0DxFH0P5jnZSUFKvXdXpQaMqUKbIBGN6ZM2cAACqVaTV5vV4vu9wREydOxPjx4w0/JyQkIDg4GCEhIQgMDHTqZ7nNBfZfPl9vdO/e3b3bkotpNBqEhoaic+fO8PHxsfwCQji0/xBH0T5EHEH7D3EE7T/EUbQPEUfQ/mMbYXSUNZweFBo7diwGDBhgdp2KFSvi0qVLePLkiclzsbGxKFmypFO3yc/PD35+fibLfXx8ct0OpSpUPtf9TjlRbtx3SPah/Yc4ivYh4gjaf4gjaP8hjqJ9iDiC9h/r2PIdOT0oVKxYMRQrZnnqwObNmyM+Ph6nT59GkyZNAACnTp1CfHw8WrRo4ezNyv3eCwWOzQJCvnf3lhBCCCGEEEIIIcQDuG1K+ho1aqBr164YMWIETp48iZMnT2LEiBF49dVXRUWmq1evjk2bNhl+fv78OcLCwnDt2jUAwI0bNxAWFub0OkQeJ7gJMGAFUKSSu7eEEEIIIYQQQgghHsBtQSEAWLFiBWrXro2QkBCEhISgTp06WLZsmWidGzduID4+3vDz1q1bUb9+ffTo0QMAMGDAANSvXx/z5s3L1m0nhBBCCCGEEEII8WRum30MAIoUKYLly5ebXUev14t+Hjp0KIYOHerCrSKEEEIIIYQQQgjJ/dwaFHIXIdBkS0VuQgBW9T4lJQUJCQlU4IzYjPYf4ijah4gjaP8hjqD9hziK9iHiCNp/bCPEOqRJNnLyZFAoMTERABAcHOzmLSGEEEIIIYQQQghxvsTERAQFBZldR6W3JnSUy+h0Ojx+/BgBAQFQqVROfe/GjRvjzJkzTn1PknMkJCQgODgYDx48QGBgoLs3x2PQccHQ/kN49hwXtA8RR+T0/YeuFTlbTt9/cqvcdFzQPkQcwe8/HTt2zDXHhavo9XokJiaiTJkyUKvNl5LOk5lCarUa5cqVc8l7e3l50UkuDwgMDKS/sw3ouBCj/YcAjh0XtA8RR+TU/YeuFZ4hp+4/uVVuPC5oHyKOCAwMzJXHhStYyhASuHX2sdxozJgx7t4EQnIcOi4IMUXHBSFidEwQYoqOC0JM0XHhXHly+Bgh9kpISEBQUBDi4+MpOk1sRvsPcRTtQ8QRtP8QR9D+QxxF+xBxBO0/rkOZQoTYwM/PD99++y38/PzcvSnEA9H+QxxF+xBxBO0/xBG0/xBH0T5EHEH7j+tQphAhhBBCCCGEEEJIHkSZQoQQQgghhBBCCCF5EAWFCCGEEEIIIYQQQvIgCgoRQgghhBBCCCGE5EEUFCKEEEIIIYQQQgjJgygoRAghhBBCCCGEEJIHUVCIEEIIIYQQQgghJA+ioBAhhBBCCCGEEEJIHkRBIUIIIYQQQgghhJA8iIJChBBCCCGEEEIIIXkQBYUIIYQQQgghhBBC8iAKChFCCCGEEEIIIYTkQRQURLC/WgABAABJREFUIoQQQgghhBBCCMmDKChECCGEEEIIIYQQkgd5u3sD3EGn0+Hx48cICAiASqVy9+YQQgghhBBCCCGEOIVer0diYiLKlCkDtdp8LlCeDAo9fvwYwcHB7t4MQgghhBBCCCGEEJd48OABypUrZ3adPBkUCggIAMC+oMDAQDdvDfEkGo0Ge/bsQUhICHx8fNy9OcTD0P5DHEX7EHEE7T/EEbT/EEfRPkQcQfuPbRISEhAcHGyIfZiTI4JCc+bMwS+//IKoqCi88sormDlzJlq3bi27blRUFD799FOcO3cOERER+OijjzBz5kybPk8YMhYYGEhBIWITjUYDf39/BAYG0smI2Iz2H+Io2oeII2j/IY6g/Yc4ivYh4gjaf+xjTbkctxeaXrNmDcaNG4fJkyfjwoULaN26Nbp164bIyEjZ9dPT01G8eHFMnjwZdevWzeatzfl23NmB/+785+7NIIQQQgghhBBCSA7n9qDQ77//jvfeew/Dhw9HjRo1MHPmTAQHB2Pu3Lmy61esWBGzZs3C4MGDERQUlM1bm7OlaFLwxZEv8OWRL5GUkYQbz2/gTtwdd28WIYQQQgghhBBCciC3Dh/LyMjAuXPn8OWXX4qWh4SE4Pjx4077nPT0dKSnpxt+TkhIAMBS0DQajdM+x92S0pIMj6MTo9F3e18AwNm3zkKtcnv8L1cQ9pfctN+Q7EP7D3EU7UPEEbT/EEfQ/kMcRfsQcQTtP7ax5Xtya1Do6dOn0Gq1KFmypGh5yZIlER0d7bTPmT59OqZOnWqyfM+ePfD393fa57hbsi7Z8Hj7we2Gx//t+A9eKi93bFKuFRoa6u5NIB6M9h/iKNqHiCNo/yGOoP2HOIr2IQIAarXa4lTpUt7e3jhw4ICLtsjzaLVa6PV62edSUlKsfp8cUWhaWvxIr9dbVRDJWhMnTsT48eMNPwuVuENCQnJVoem49DhM3zAdANCsaTMs2rcIANC1W1f4qKkYlzNoNBqEhoaic+fOVOCM2Iz2H+Io2oeII2j/IY6g/Yc4ivYhArD94MmTJ0hNTbXpdXq9HmlpaciXL59TYwWeTKVSoXTp0ihQoIDJc8LoKGu4NShUrFgxeHl5mWQFxcTEmGQPOcLPzw9+fn4my318fHLVCclHa/xdvLyNmUE+3j7w8co9v2dOkNv2HZK9aP8hjqJ9iDiC9h/iCNp/iKNoH8q7dDod7ty5Ay8vL5QtWxa+vr5WB3h0Oh2SkpJQsGBBmzOMciO9Xo/Y2FhER0ejatWq8PISjwyy5Rhza1DI19cXDRs2RGhoKHr37m1YHhoail69erlxyzyfCsaDSwedG7eEEEIIIYQQQkhel5GRAZ1Oh+DgYJvLuOh0OmRkZCBfvnwUFMpSvHhx3Lt3DxqNxiQoZAu3Dx8bP348Bg0ahEaNGqF58+b4+++/ERkZiVGjRgFgQ78ePXqEpUuXGl4TFhYGAEhKSkJsbCzCwsLg6+uLmjVruuNXyPGUxhkSQgghhBBCCCHZiYI6zuGsYXRuDwr1798fz549w7Rp0xAVFYVatWphx44dqFChAgAgKioKkZGRotfUr1/f8PjcuXNYuXIlKlSogHv37mXnpuc4/E6hh172MSGEEEIIIYQQQgiQA4JCADB69GiMHj1a9rl///3XZBllvtiGvi9CCCGEEEIIIYRIUd4WIYQQQgghhBBCSB5EQaFcRCkjSKenQtOEEEIIIYQQQggRo6BQLsLXDuJnH6OaQoQQQgghhBBCCJGioFAuRYWmCSGEEEIIIYTkVHq9HimaFKv/pWam2rS+uX+21t1NT0/HRx99hBIlSiBfvnxo1aoVzpw5AwA4ePAgVCoV/vvvP9StWxf58uVD06ZNcfnyZdF7HD9+HG3atEH+/PkRHByMjz76CMnJyYbnK1asiB9//BHDhg1DQEAAypcvj7///tvxL9qCHFFomjiHUvCHCk0TQgghhBBCCMlJUjNT0XRlU7d89qmBp+Dv42/1+hMmTMCGDRuwZMkSVKhQAT///DO6dOmCW7duGdb5/PPPMWvWLJQqVQqTJk3Ca6+9hps3b8LHxweXL19Gly5d8N1332HRokWIjY3F2LFjMXbsWCxevNjwHr/99hu+++47TJo0CevXr8cHH3yANm3aoHr16k79/XmUKZSLUPCHEEIIIYQQQghxnuTkZMydOxe//PILunXrhpo1a2LBggXInz8/Fi1aZFjv22+/RefOnVG7dm0sWbIET548waZNmwAAv/zyCwYOHIhx48ahatWqaNGiBWbPno2lS5ciLS3N8B7du3fH6NGjUaVKFXzxxRcoVqwYDh486NLfjzKFchGlTCEqNE0IIYQQQgghJCfJ750fpwaesmpdnU6HxMREBAQEQK12PLclv3d+q9e9ffs2NBoNWrZsaVjm4+ODJk2aIDw8HI0bNwYANG/e3PB8kSJFUK1aNYSHhwMAzp07h1u3bmHFihWGdfR6PXQ6He7evYsaNWoAAOrUqWN4XqVSoVSpUoiJibHvl7QSBYVyKT5riGoKEUIIIYQQQgjJSVQqldVDuHQ6HTK9M+Hv4++UoJAthHtrlUplsly6TEp4XqfTYeTIkfjoo49M1ilfvrzhsY+Pj8nrdTrXJnnQ8LE8gIaVEUIIIYQQQgghtqtSpQp8fX1x9OhRwzKNRoOzZ88aMnwA4OTJk4bHL168wM2bNw21gBo0aICrV6+iSpUqJv98fX2z75eRQUGhXIQP/uhgjCbymUKJGYkIiwmjQBEhhBBCCCGEEGJBgQIF8MEHH+Dzzz/Hrl27cO3aNYwYMQIpKSl47733DOtNmzYN+/btw5UrVzB06FAUK1YMr7/+OgDgiy++wIkTJzBmzBiEhYUhIiICW7duxYcffuim38qIho/lInzwR6mO0IDtAxCZGImfWv+EHi/1yK5NI4QQQgghhBBCPNJPP/0EnU6HQYMGITExEY0aNcLu3btRuHBh0Toff/wxIiIiULduXWzdutWQBVSnTh0cOnQIkydPRuvWraHX61G5cmX079/fXb+SAQWFchFRHSG9fIAoMjESALDr3i4KChFCCCGEEEIIIRbky5cPs2fPxuzZsxXXadWqFa5cuaL4fOPGjbFnzx7F5+/du2eyLCwszJbNtAsNH8ul+EAQDRUjhBBCCCGEEEKIFAWFchF++JjSY4EK5qukO8uFmAu4GHsxWz6LEEIIIYQQQggh1qPhY7mUVqd19yYgWZOMwTsHAwDOv3MePl4+Fl5BCCGEEEIIIYR4jnbt2nn06BzKFMpFFGcfc/EO+iDhAd7Y+ga23t4qWp6YkWh4nK5Nd+k2EEIIIYQQQgghxDYUFMqtuDgQHyByhV/O/oKIFxGYfHSySz+HEEIIIYQQQohn8+SsmpzEWd8jBYVyEdGU9NmYKaTRaVz6/oQQQgghhBBCPJuPDysnkpKS4uYtyR0yMjIAAF5eXg69D9UUykVEQSFu9rFbcbdQLqCcaF0VVAiLCUNCRgLalGvj0Ofm987v0OsJIYQQQgghhORuXl5eKFSoEGJiYgAA/v7+UKmsmwBJp9MhIyMDaWlpUKspt0Wn0yE2Nhb+/v7w9nYsrENBoVxEVFOICwp9dewrHB1w1GT9QTsHAQB29dmFsgXL2v251gSF5GZAI4QQQgghhBCSd5QqVQoADIEha+n1eqSmpiJ//vxWB5JyO7VajfLlyzv8fVBQyIOtub4G8RnxeL/O+wCUM4VSNObT854kP3FaUOjww8MoF1AOLwW9JFqHgkKEEEIIIYQQkrepVCqULl0aJUqUgEZjfRkSjUaDw4cPo02bNoZhaHmdr6+vU7KmKCjkwb4/9T0AoGXZlnil6Cui5/igkFavxYWYC3iY+NCwjI8mOhpZ5INCY/aNAQBcHnJZtA6fxaTX6ym6SwghhBBCCCF5lJeXl021cLy8vJCZmYl8+fJRUMjJaDBeLnD92XX2gEvGkWYNDd45GJOOTpJ9/aQjk3Am+ozdn2/V8LGsoNDko5PRY1MPpGam2v15hBBCCCGEEEIIcRwFhXKBewn3AIgDQZZmHOOff5j0EMN2D7P78/N557O4jjAb2tbbW/Eg8QH23t9r9+cRQgghhBBCCCHEcRQUygXkgkL88DE5zqzxo7ZiN5JuD9UYIjlBxIsIXH121d2bQQghhBBCCCFuQUGhXOB56nOTZRaDQhYyiax1OfYyjjw6YvNn2Pr5l2MvY8rxKXieZvq7EmIPvV6PN7a+gQHbByA+Pd7dm0MIIYQQQggh2Y4KTXsoPqiSoctAWEwYAn0DDcuE4VqKr1fI1LkTdwcbIzZiWO1hKJKviMXtGLhjoFWf4WimkPA5iRmJ+K3dbza9lhA5/D4ZmxKLIL8gN24NIYQQQgghhGQ/Cgp5KD6ocv35dQzaOQhdK3Y1Pm8hE+fQw0Oyy/ts7YNMfSYeJD7ArA6zHNpG/qZbuj32Zirdib/j0DYRIuADp1q91o1bQghxlE6vg1pFyc+EEJKb6fQ63E+4j4qBFWkmY0KciFpQHkouqLLr3i7DY0vDx5Rk6jMBQLbOyr77+zB893DEpMRYfJ87cXeQkJEg2p5HSY8MP1NNIeJu/DFEQSFCPNcvZ35B+7Xt8TT1qbs3hRBCiAt9d/I7vLb5Nay8vtLdm0JIrkJBIQ9lKahib1BI4K02TSIbd3AcTkWfwq9nfrX4+l5beqH/9v6Gn5eHL0fXDcZMJke3jxBH8fugVkdBIUI81dJrS/E87TmWXl3q7k0hhOQyDxIeYNHlRUjRpLh7UwiA9TfXAwBmnXdsNAMhRIyCQh7KUlDI0UwcuaCQIEHDMoBsGQK29Jq4sc5vX3RyNN7e8TZ23Nlh41YSYj8+KHTp6SV8eeRLRCdHO+W9M7QZ0Gg1TnkvQoh1KOOPEOJsQ3cNxczzM/HbWapnmZOkZqbiyMMjOPbomOI6er0eqZmp2bhVhHguCgp5KgvxGIczhVTKQSFftW/WJtgfeOIDSj+f+RmXYi/hiyNf2P1+hNiK339/Ov0T/rvzHyYfnezw+2bqMtFqdSt0Wt+JMuIIyUZ0vNnvTPQZTD81PVdmQ2h1Whx7dIxmmSR2iUllJRP2P9jv5i0hUqP3jcaovaOQlpkGgJWuWHh5oSEQNPXEVDRZ0QThz8LduZmEeAQKCnkoVw8f81J7KT7n6+Xr8GfwQaHEjES734cQe8ntv6ejT+P44+MOve+WW1uQmpmK52nPDQ0VkrfdjruNTus6GdLeiWt4elAoRZPitsDFsN3DsPL6Siy5tsQtn+9KK8JXYNTeURiyc4i7N4V4sExdpuHx8cfHseb6GjduDeGla9MBsNIVs87Pwp8X/gQAbIjYAABYcHmB27ZNimrfkZyKgkIeyuLwMTtn9xLww8dux93GoQfG2coMmUIOfIZWr8X4g+Mx+/xsqOD+2QOSMpLcvQkkmyndQI4MHWn2dREvIjDh8ATci79nOAYydZk4/PAwEjISMOXEFMO65mbG0Ol1OPfkHAVFPZBWp8WFmAuKQb9dd3fh/T3v40XaCwCst/JJyhNMPTE1Ozczz7EmKLT8Gqtvx098kFO0XNUSrVa3cmu2jjUTSXiaHXfZ0PTb8bfdvCXEFc5Gn8Xv5353+ZBtf29/w+ORoSPx/anvcSHmgks/k9jnTPQZ0c8qqKDRarJlKJm58/ffl/5G+7XtsSJ8hVM/k8oVEGegoFAu5WhtBT4o9PqW1zF2/1jDz4ZMIdjfKxsWE4bQ+6FYcHmBXdMI6/V6Ua+NI9bdXIfmq5oben20Oi0mH52M1ddXO+X9bZWamYrDDw8bej4eJDwQzeRGnMPaoObCywsx/uB4QzHqITuHYOfdnei5uSfar22PG89vYNHlRRizbwxGhY4SvdbcTermW5sxdNdQDN452P5fgrhMiiYF/bb1Q5f1XfA87bnoucVXF2PwzsGYcHiC7Gs/P/w5TkSdMBTCdNa5iphnTVBoxpkZeJT0CL+c+SUbtsh6er3eMPvnvYR7TnvfTF0mfjr9E/ZF7rNq/YI+BZ322YRkh3d3v4vFVxab1K50Nn8ff5Nlt+M8O9AYkxKDuLQ4w8/3E+5j7Y21Hn/NkgZ/VCoVemzqgSYrmiA2JdZln3sg8gCarmyKf6/8K/v8Hxf+AMBKFqy6vgqDdgxyuH0/9cRUNF3ZFI+THjv0PrnFi7QXubJzIztQUMhDWbqh/TPsT4fe31xNIR+1DwDHUvWTNMbMHLmsp33396Hnpp649uyaaLmQeTHuwDiErA+Rjcjr9DpRCv7mW5sx4dAEZGgzZLdl2olpAIDvT30PADj48CC23t6KH079YONv5RzfHPsGY/aNwfcnv8eduDvovqk73t31LjJ1mTj++Lhbs5qepj7FhEMTcDb6rNu2wVnMBTWPPDyCG89vIDEjEbPOz0Lo/VAcengIy64tQ6LGmNnzLO0Z+m7razjeLj+9LP4MM8fIf3f+AwDcirvlyK9BXOTrY18j/Hk4Hic/xoHIA6LnhF6+Aw8OyL3UQChcbms2ZHRytMVhRHq93qZsTY1Og5GhIzEnbI5N2+JJbOkM4a9BOQF/E+bMG7Ltd7ZjRfgKjDswzqr1C/gUcNpnZ4cnyU/w46kfcSf+juI6jmYjH310FNtub3PoPYjrhT93bd0YuaCQKzN99Xo91t5Yi7CYMJe8f1JGEjqu64jWa1oblr257U18d/I72QCbRqfBN8e+setYuBN/x9DR6QrStpb0s1RQISo5CgDQYV0HlwXzJh9jdSl/O2e5KPmPp35EWGwY/rn8DwDgedpz/HzmZ9x6Yb5NeDvutmifWH9zPTQ6DZZdW2b/hucibda0Qcd1HZGsSXb3pngcCgp5KEvDxxxtVFpTU8iRzzjy6IjhsdwQjHEHx+Fewj18tP8j0fKIFxE4E30G+x/sR2xqLA4/PGzy2tH7RqPV6laIeBEBgN3c7by3E5tvbbZq29x9Itl1bxcAFszafHszAODmi5tYEb4CI0NHYtTeUWZerUyv1+PD/R9i+O7hdg/9+/7k99h5byfe3f2uXa/PScxdeEfvG42+2/qi37Z+hmXJmmT8fOZnmz7DXFDI3NAy4n577u8xPM7nnU/0nDCE1pI0re01peLS4tB5fWe0Wt1KcR29Xo8R+0Zg8M7BVh/LByIP4Pjj45h7ca7TZtnLaWyZ/CA9U3zToNFpHB527QiNzpj+rxTcik+PN2QsWsua+hV8h4mnZQpNODwBq66vMptx6ci5Vq/X44O9H2DS0UmISoqy+32IKY1W49Shkq4YdskPyyngbRowdWXdwAMPDuC7k99h0M5BLnn/yMRIw+OHiQ9xOfayIcNm333TzMLNtzZj061NmHR0kk2fszFiI3pt7oXZ52ebXS82JRavbnrVJMvm5oubOP/kvNnXSs+ZCRkJ+OGksWNXGhheHr7cii2Xt/r6ary9423Zjhs/Lz/Z1/x29jfFmmZCB8UPJ3/AsmvL0Htrb7Pt09e3vI5BOweZXMdz++ybK8JXYGPERrPr8G3uh4kPodVpMfv8bBx5aLznzNBmmGR/E4aCQh7K1Y1XL5VyUMhH7YP9kfvRYlULp3zW+Rjlk/2TlCcmy4btHmZ4LNfYE6anFArMCb47+Z3Z3kSBueFsV55ewa/xv2Jv5F7FddbfXO+03ng+8Cb0zlyMvai4/oabG0T1n3jp2nQcfHAQp6JP4XGyfWmmDxMf2vU6wPX7rK2+Of6NxXUeJhl/X3tm2xMuUOnadJMganbU0tLoNIa6NnlFUkYSLsVecvh9erzUw/BYmmXo4+Vj1Xuce3KO1RGy8k99J+6OVUMgkvXJOB9zHmGxYXiRbt3fl+85FVLYcwO+ESgXMHmS/MTQAHyQ8MCwnP8+4tPj0WldJ3x++HMXbql5wtAxQL7D5daLW2i1upVJp0BMSgzmhs1VHBIhZPaaw2c7FPApgDlhc/D9ye9z3DlbjnCsu6pAN59R5u4Oo9ym5+aeaLGqhdOCOa74+/CZwfm98wMQt2UydPIZ6Lvv7caWW1vs+kzh+Dc31bpUZEKkQxlF3TZ2w8AdAw0/x6aank8eJD4wWWaNb49/CwBYem2pSUdZfHq84fwz9+Jc3E+4j9/O/YaFlxca1umztQ+G7BqCJ8mm9wMC6fsma5Kx+oaxBMShh+J2sblO7blhc/H+nvcV6/T8cOoHXIq9hEWXF5k8pxQU+vfqv4r3OkIw5+aLm4Zlvbf2NlkvPj0e4w+ON/wsbY/zAcqz0WdtHia37uY6LLm6BLde3Mpx5/6opCj8dPonfHv8W9F1Xrqd0r/r1ttbseDyAozeN9rwPt03dkfndZ3xLPWZ6zfcw1BQiMjiawpJ+Xr54uMDH2fj1igzd2MtNwTujS1vGB6fe3IOndZ1MlmHD4hJTzifHvkUcfo4TDgqX0sEYON7516cixvPb5jddmvw21LQV74Hd/ud7TgQeQCRCZGYcmIKxu4fC51eJ+p5BmBInQXsD9DY2+M69+JctF/b3uKY51nnZ+HtHW9b1ft29dlVLL+2XDEb5178PSy5ukTxvWwtzGfPcMnbcbcxJ2wOmq9sjte3vC56zp5aWtaISYnByvCVSNYkY8D2AWizpo1JY+6fK/84PBzi+OPjuPrsqkPv4QofHfgIb+94G3vvKwdupeSOBzV3eeQDCHvu7TEbHN1zb4/o5/U31+P6s+uGn5XqB2TqMtFrSy/RLClKx2mG3ngjIg3gH3t0zGzgGECuagzxvaPSYzRFk4JO6zuh7Zq2eJH2At03dTc8x2dx7Yvch+dpz7H73m7Xb7ACS8PHhE6Ok1EnRcvH7huLORfnmGTVCsxdywX8PqmHHnMvzsWaG2twN/6uybpy+2RCRgI+PfipyTBLSzK0Gfjp9E8OzfjoaBbQsmvLcDn2suI6celxhsfmMqiJbfR6PR4lPYJWr8WNF463lQDTOjLOwA/XF/Y1/viUa0dodBp8dugzfHXsK5vPtb+d/Q0tV7XEg4QHokweS3ps6oFBOweJAt+OkAsK2VO6QDqMi293aHQadF7fGS1WtUCmLlPU+TLr/CxciLkgOt+YC0pZap+lZIoDj9L2MW/OxTk4EXXC4vBw/j3X3VyHFqtaiCYw+Hj/x6JsJSXCtgtBRynhO/jjwh8IvR9qWC499226tQmHHx7G2eizeHf3u+i4rqPFzxZodBpMOzENv579Fb239sbK6ysV1/0r7C98vP9jm7NWbfU46TE+3PchzkSfEWX2CN/Xg8QHaLOmDeZdnAeAdap9dfQr0XucfWIsdaHRaTDv0jw8SXmCDF1Gjpxswt0oKOSh7MlasIW5hqQ1jcycQK4Bp9VrDTdtQ3cNNclE2nl3p6h4rHBBS9YkI1mTrFiX6EDkAXy4/0NRVoYzikPzN3xyQ1aeJD/BxCMT8dGBj0S9vQO2D0CHtR1EjSRz6fVPU59i191dZi+UjpgTNgfP0p7hr7C/zK638PJCXIq9hIMPDlp8zwHbB2DGmRnYfme77PO9t/bGr2d/xd+X/rZji03Z0wv57u53MffiXGh0GtxPuI8P9n+AXalseKC9NzPp2nSzveJDdg7B9NPTMf3UdEPPE58KfvPFTfzv3P8w6egkwxBLW0UnR2Nk6EgM2D7ArtdLnYw6aQiiJmuSHRqaKsw6Yu3fPTo5Gu3WtkP9pfVx5ekVw/KYVGOhwnRtOtIy0/DZoc/w6aFPFdO078TfwaeHPjVZzvcmt1zVErvu7lLcbp7S95AB4/vx2xKTEoNRe0fhnR3vGJbdfHHT5L2VUqdTM1MVe2M1Og1ORZ0yCXopiU+Px4nHJ5zacEzISMCmiE2icyv//sL3pdfrEZ8eL0qvl9ZbSM9kx1FMSgzyeRmHBwrneI1WgynHp5gEF2++uIkFlxY4fdgI/7dWus7IEeqoXHl2RfZ5c/UBBfy1Q7QdkiyI6aemo9vGbibnn7lhc7Hn/h58dEA+MKVk1fVVhmHR9pJ2DD1NfWpVRjDAAts/n/kZA3cMVLyp5LNYXFF8d07YHPTd2tejZkA9nX4aJ6JOKD6flJGEE49PmP2++OccyUrggzLCTfqGmxtkp4vXaDWYeW4mzj05Z/X788eGcK7l20nCMbLr7i58uO9DxKfHY/qp6Ybnbamjo9Pr8O/Vf5GSmYL5l+bblZljbY3C44+O458r/yg+L/e3s6cOm7R2z/Xn1/Ei7QUeZj5EYkaioY36353/sOW2OLMqJiVG9F3z2ZRStnba+ah9EJkQiXvx98y+579X/sXOuztln0/NTMXK8JV4nPQY005MM6kvtf/Bfqy+sdritm2M2Iix+8aa1MT65MAnuBx7GR3XdcTcsLkmAUa5TvFJRycZ9m899IhNibUqW1wa3OQztXjXn1/HvIvzsP/Bfhx6eAgLLy80aUeeiT6DuWFzHbr2X39+HR/u/xAHHx7EsN3DRNsjHId/hP2BuPQ4w33F0F1DsfOe8W/196W/RZ3zDZY1EA0/s+U6m1dQUMhDuTq1z1vlDY1Wg+9OfGfynCMFpu1h7nf99NCnOPfkHGacnoHfz/0uWleYglLuNUqNFelsQsKwn+Yrm6PZymaKN4MfHfgIBx8cFI21dsb4Xj6bhG+ECTeV/NARft3w5+GIS4/DhSfG6VL5Hk/pd/rOjnfw+eHPsSp8FTJ1mdgYsRGRCeJeqqOPjuL68+uin20lDTrxDSa+8W1L4JE/6ev0Olx9dhUarcbwN5b2rBvYGJOxpSGp5FT0KTzIfJD18fYFhXps7IFWq1spXuiFIW983a7fzv1mGFbIzzTyxtY3TBoyK8NXYvDOwbifcF9xG/iZHYRGnUarwdKrS3H12VUcfnhY9oKr1+vxMPEhdHqd4dh6kPAAI/aMQN9tfRGXFodmK5vhrf/esvAtWBYRF4Hjj46b3NRnaDNEdVbmXZyH52nPkanPxFv/vYWopCjEpsTiVNQpwzppmWn4+tjXFjNJpMeMErlhSnKZTUpDE/hMIf58zKeLC8d4n619MGz3MFGWHn8u4PXa3Aud1ncyuRlJ0aSg49qOGL5nOD499KlVNYmG7ByC90Pfx+Cdg63+XiyZcHgCvjn+DSYdMZ5n+d9fuGn4K+wvtF7dWjRkgM/AAti5p9XqVui4rqPovNRsZTNodBqsvL4SGyI24JODn4he12drH8y+MBuLrpgOHXAEfxwKWUx6vd5wDZNOuiBn3/19mHB4AlI0Kfj70t/437n/ic6lSo10PsjGn5Ol56iV11fiUdIjQ5F8gVxWgTXsHY7CkwbX269tj16be4n2UaVzLR8cVRpyKropzbqm3Hh+w3D+Db0fihmnZ0Cr0yJFk2LzrDdzL87FjRc3zNbKyO42lzkXYy9ia+pWjDkwxrDsxOMTbEr4rO9qzL4xeD/0fXRa1wnrb66XfR/+3JaSmYLFVxabveYoESYIAViHQlpmGqacmILvT30vukbq9XoM3TUUi64swtBdQ61+f374mF6vR3RytKg0gXCd+/zw5zj48CCWXluKdTfXGZ63JZDI1z0BXFMjSTBy70iL17NTUafw5ZEvMXz3cOj0OlHg0toMKGlQSKVSod+OfpiXNE80nOqrY19JXwqdXidqRzxKVM7ssLW9vf3OdvTY1AM9N/cUdZ7yx9q9hHv47dxvmHB4gmxB8a23t2L66enosqGL2c+yJoNNOrwNAPZG7sXAHQMRmxqLORfnmGSXy2Wbq6ASTRbQYV0HtFnTBhtubjAbHJK2CdQy4YGnqU/x5rY3DT9/dfQrzDo/C29sfUO03rDdwzDn4hz8d/c/6VsAYO2pG89vKN7b3Xh+A29ue1M0nI4v2SH8jaRBQulQ+j3395jNQtxyewtmnZ+V44bKuRMFhTyUKzKF+IuXt9oba2+uxdqba03Wy44GCj8u11LvxNBdQ7E8fDkWX1ksyvxZdGURXt30quxrrO29ydBmIFmTbPi+LW0LP/uUTqf8PV19ehWvbX4NBx8cxJ24Oxi7b6zsUByl4IhwU8lfCKXpsYDyfqLRi4MzQhrl/gf7MfPcTHx7/Fv02MRqqgg3EtLZaz7Y+4HN2VBanRbP055Dr9dj+bXlaLaimWHoAL/9nxz8RNRI1+q0uB13W/bkzf+Os8/PxoDtA/D18a8Ny5QaZe6aslKtUiMtM02UeSTMJCVctJ+nPRfdBJ5/ch5d1nfBgcgDhn3c0kwT0gbD2P1j2WdJ9okWq1pg2+1t0Gg1iEqKwuwLs3Eh5gL6bu0r+77x6fGinrMXaS+g1+sx8ehE/HL2FwzYPgBj9o2RzQrbdGsTum3shpnnZ6LdmnbovaU37iYYh6gI+wIffBQ8SHiAhZcXIikjCaeiTmH8wfEmRXT54EOmLhMj947EJwc/Ed0g9t3WF+3XtjcMAZOez0I2hGD2BXFBzD/D/jQUgJfi/w62FJbutqEbai+pbUh95utXCZSGOKbpjZ/D79/8DbK0wcQPRYhJicGGmxtE319aZpphiOkfF/7A+pvrDTdpp6JOiRpcckGlFeErMHrvaMO59XY8uxm49PSS4VziKKHGhtCATtemi85Bwncx/9J86KHH7+d+V3wv/hrANz41Og2eJD8RLZPDZ5XZaua5maxmhU6Di7EXkaxJFh0vwrZ9fexrtF3bFqH3Q83W3hOMOzgOO+/uxLyL8/DHhT/wz5V/RAEb/kb8t3O/4e3/3ka6Nh1rbxiv83wx/dTMVKy5vgYrwleIMqNsqY8md85+kfYCJx6fkB2eJnXj+Q2svq7c264U6Ap/Jj8T1Z24O+i3rR9C74eKbjj3P9hveKzRagwBDumwvqvPrqLvtr7ovL4zPj/0OcYfHI/l4cuxIWIDRu0dhc7rO2Nl+Ero9Xr8ceEPbIrYZLINer3eJCNP6Vq9P3I/mq9sLlv4V3DowSGbh+4BbBjxrPOzLK6n1WkxbPcwTDk+BbfiTTNR3g99H4uvLDb8rsK++iztGaaemIr49Hh8eeRLUeCbP/5mn5+N38/9jl6be1nclkxdJj7e/zG+O/Ed9Hq9KJiWokkRBfFiU2PRb1s/LLi0AP9e/ReXntpea44PhGj1WvTd1ld0jGRoM0TnIGnwgP89UzNTMf7geGyM2Ij9kftNso/5If4qlUp0Ps/QZuBM9BmLgSJn3hsM3zMc/935D6eiTyHiRYSo/cvX9rwcexnTT02XbQ9Kt1cNNZ6lsYDS7vvmg1JavVZ0zpIG9nnRydGYcnyK2ffj8cc1/3fgz3N8m7TtmrZ216z637n/2fU6Kblar3JBV7kZJKecmIIx+8YoZriajCSQOaVLh83zAVOAnVv5ey6l4Vmj9o5C3219UWdpHdk6WHJZ0zzhvoc/99uTubv51mYsvLzQrg7u3MozxgERE64ICvENJC+1l2KRsuyocF/Ap4DhYmrLOHFpdoJSQWVrT+6Zukybslb4C02qNhW/nf0NKqgwvtF40TrD9wxHkiYJH+7/0LD80MNDCO0bKno/czeZ8y7OE6VtyvV+Ke0n9+LvYX/kfgyoNkBUq+jck3OijJiIFxEYvHMwhrwyRDa48sPJHzCjzQzDz+nadDxKfISXCr0EgDX+vzlmLOh85NERtF3TFv2r9ceaGyy9e8rxKdjTd4/J+7+9421cHHwRapUasy7MwuIri/FV06/Qv3p/8e+YddOxP3K/ofee78mWZiddir1kUwFHgTMyhQDWKOq1rZfoZq3f9n5oVbYVFl5eiM4VOhvGja/qsQq1itXC6H2jkaxJFg3PWHB5ASoFVULPyj0VP0eO3E3UpKOTsOf+HtGwPem+l5qZiuvPr5s0Hk5Hn8Yf5/8QDbcC2Bj7TxqKsyyEgpOLrywGwIKs/N/H3JC6ftv7IUmThMdJjw09sSqo8Fs749SvSsGHiBcReJ72HNUKVzPciB5+eBhdK3XFplumN23WzlQIsJvoftX6wVftazKjlTlCEOivsL/wbq13ZRv7T1OfIiIuAo1KNsKztGcIvR+KLsFdkK43fo5ws6zT6zB893DD8nEHxuHPDn/KfrZWr8WUE1OAE8DlIZcx/+J8Q3AKYMNohcDf5SGXTYpnCg2wFE0K3g99H41LNTakd2+4uQEDawyEkvj0eKRr01HCv4Ro+Z24O5h8dDJG1R2FOsXrYNDOQXit8mt4kvwEdxPuYn6n+eLvL/Eh3vrvLVGAypZeeb7BL72R23t/L7be3mr29bb2LkYnR8NH7YOi+YsazlOfHPgEhx4eQtXCVZGcYbwm/XT6J7xW+TXDcAq+uKhAp9cpFrLlh0/x1+sMbYbherbixgoA7GZAKQtpyvEphuAeX7A6OVN8/eSDQkkZSSjoWxBrb6zF/879Dy8VeglLuy6Fl9oL/175F2naNNmA8bfHv8W9+Hso4FMA1YtUx0cN2Lmu7zYWnPbz8kPvqqbFV/ngJ78Pf3roU/ze7ne0C24nWn/GmRkIfx6O8QfHY0hN42xAQuaDTq/Du7vfxYPEB9jxxg7R+Umj02D7LTZcOV2bLgoUf3fSmFU9/fR0lCxQ0jCEVdjujREbERwQjCOPjmDxlcUYXNN4Lt17fy+GvGI6O5FQv3HcwXGoW7wuFnddLPpbpGWmGQL+x986jgDfAJP3ANixejLqJJqXaY783vmh1+sNN6t9qvZBuYByANjxufL6Srz60qsIDghGfHo8Wq9uDT30OBN9BmPrjjW85/O056LhN3KBbYDVw/rvzn/4785/uDT4kkkGiDBsxpq25dh9Y3HsMbt+d63UVfw7ZqaIzgGrrq9C+PNw2anqnyQ/wcXYi+hYvqOo1MDCywux7fY2zOs0D6ULlhadG1I0KSZDJ7fd2YZtd4x1cqSdMUI79nnac7Rd0xYARHVh2gW3wx8dWOF/PugivQYN3zMcF2IuYOgrQ/FpI9MhygJz2XfRydHYF7kPvauYHkeWZOozRdvHn2OEAtWZukx83fxr0eukHbD892NpBijpftKkVBPFdfkgla1E7XbufoMv2aDRadBsZTO8UVWcFWMNoa3rKLVavG+FxYTht3O/iZbFpceJ6ujwLj+9jJD1Idjxxg7EZ8QjRZOCKoWqQKfXmZTSkAv0W7oXmnpiqijbb3PEZgypOQSpman49vi3CH8ejhmtZ4ja0pOOTsKON3aYfV8p4TzBdxSYK49hyf2E+2iN1ohKikIB3wKIS4vD6hur8ebLb+Je/D20LNvSMOt2bkdBIQ/linQ3fgpkb5W3YiFcV6badVjbAf2q9RNdLGyZPcnaHmlrZp4C2IwMY+qNkX3uTvwdHIg8ILoB4m+4fzz5o+FGefArg1EsfzHEpsRi0M5BihlHndd3Fv0s3DzLsVSfB1D+WwkNzZNRJ/G/dsq9GP9c+QdJmiT8FfYXqhauajJ2eMfdHZjQeALiM+Lho/LBjDMzcOjhIczrNA8ty7bErPOzcPDhQcP6wgWXv0gKGTty9YwOPTiE9uXbG76H7099j/w++UUZIaH3Q9H35b5slicZt+JuQavTwkvtBZ1eh7d3vK34+5pjzRSWapXaYiadGmqT4RbXn183ZMfwDcbQ+6HYGLFRMYi5IWIDyhYsi1nnZ2Fi04moXqS64Tm5AEumLhOfHf7MZHl+7/yKdZyuPbsGtUqNX8/+KhpSJfj62Ncyr7J+ams+A43fX+/E3UFwQDBuxd3Cnfg7hmPmQoxxSOSe+3vwv3P/Q1pmmmx2keCzQ5+ZZNIV8CkgW3fCHnPC5mDb7W0IqRhi1+tTNCmymX7CDCRlC5Y19Lpde3oNfKxXo9Mg/Fk4Ru0dJeq5O/zwsGjok9K5YP7F+fgzTD54BLDvrn81cSBWCGCdfXIWF2MvigpbTz89HTWL1lR8v87rOyM1MxVH+h9BoXyFDMs/P/w5br64ibH7x8Jb5Y1MfaZoljRp5s6iK4tMMpaOPDpidR0D/jiV9nBLG9oAO/4/O2Q8do49PobDDw+jTbk20Ov1oiK0XdZ3gUanweKuizH99HS8Vf0tjDswDt4qb5wfZMz4ETKeIl5E4KWglwzLEzMSZSdBELxIe4Hl4csV62aJCkdzf/e0zDT4+/qL1jU3LE0ICAHioMfz1OdIzEhEQZ+CuBh7UVTHofmq5viyyZf46fRPAFgQfvrp6QjyCzJb54vP+Djy6IghKCRYeHmhbFCIx18TNToNPtz/Ifb2FQ/L5M8fS64tMTzO0GYgRZOCpiubGpbtvb9X9Htn6jKtrsPGn9diUmKQlJFkCIoL+JkGw2LDkJSRhCRNEkoVKAVAfC0A2NCtU1Gn4K32xitFX0GAb4DJLHoFfQoa9kW9Xo/fzv6GEv4lcOXZFey8uxP9Xu6HCU0miLLDMnQZiHgRgQqBFTD1xFSE3g/FnLA5WNF9BRZfWSzqXOIDLH239hVdy5RmreW38YsjX+DIwyOY3nq67LqCJVeX4GTUSfze7ndDEOuDfR8YAkIA8OWRL01exwcRzNVp6rWlF5I1yRheezg+bmCcOEXInArZEIKS/iXRuYKxTWZNtp40uC/87krDAw8+OIjo5GiUKlBKdoiSQNhv5SYR4I/xX8/+itD7oahSqAquPbuGuZ3mIj49HsGBwXhnxzt4kvLE6rpDvAHbB6B4/uImyzfcNA6l488XAukQaL5dciH2gnR1Ea1OK8qWLZKviNXba4vo5GjciruFp6lP0ahkI8Py+Zfmm6xraUp0V5IeX3LXKQBmOzRepL/AzRc3Me7AOLxIf4ECPgVk25fS9uP2O9stZnZK72seJz9Gz009RR2G7+5+V7SOXJkBS/U2I+IioNPrREFkucCvteLS4xCTEoOQDSHwVnsjyDcIz9KeGbLA36nxDr5o8oXd7+9JckRQaM6cOfjll18QFRWFV155BTNnzkTr1q0V1z906BDGjx+Pq1evokyZMpgwYQJGjRqluD6xDn9TrlapFYNC5lI4HRWbGmsS7ODHsDqLtZkiWr3WZCiJQEh1nnl+pmEZn13BnwiH7R6GSU0nYcSeEXZsrf300OP8k/OK6Zinok6hxaoWiq/n65AoNYaH7xlu0sjYELEBLcu2NBneI0er1+LPC3+Kht4Jzj05h6alm4qWTT46WfTzk5QnJjN7SW29vRXdKnVDn619LG6PI6wZWmlLLSFzhSABoHxAeQzZxXqX39z2JsY3NGYUyB2/y64tk214FstfTLaH8e0db9s9vbvQs6LX65GamYqIOMs3U/zx02tLLwQHBJtsl/T3svQdAfJDK/28/KyeWt4SYRtWhK+w6/VpmWlmMyL5NOzNtzeLnvv80OeIeBEhW4RzX6RxyIlS1qC5gBDAplYeVHOQaFmSJslQv0vOoJ2DTJbVXlIbczvNNfyeq2+sxqi6xus2/3eW+12kDU6lGaMsDfuSw39PciYdmSTKBhCM2TcGp98+jX7b+qFeiXr4ruV3CL0fajj3C+clIZiaqc8UZYfy6havK+p9l/bc8tqsaWN2e/nAB99wfnvH21jaZancS2yy5/4eNhS0UjfZGSWFgJDAnp7ye/H30HOzMQsyMjES8enx2H5nO3zUPihVoJTiJAO8TuvFwTWl4yxDm2Eyq6q0zkmmLlP2xteSjus6YlLTSRbXa76qOQBgT589KF2wtGyG2IJLC3A+5jyal26Ov0P+FmU5vLntTbxc+GX82/VfaHQaLL22VBT4AoC1N9eicL7CohveaSem4dyTc3iv1ns48dhYu1CuA4XPQpB2biy8vBDv1npX+hLRjZ+Qgah0HAAsa+vXs78CAJZeXYpeVXrhaepTk3ab3BBw/jszVyZAuBFeeHkhPqr/Ee4n3Dc5fz9JeYLl4csV30OOdP8aumsoiuQrYtKO4YXFhKFo/qJWXcsK+xU2WSbNsOID9e/seAcPkx6iY/mOhnPK4YeHLX6OHOnf+91d74r2B7VKjbCYMIw7MA4VgypiRusZZjOFLBFqDxp+hmtKV/DXqwmNlWcWdjdzs57aYtX1VYbh4EodjtHJ0YaRElFJUZh4ZKLZ99x1d5fstVeaQS5VtXBVvEh7ge9OfocGJRrg1ZfkS37wRu4bCS94ob5ffYvrWiMuPc4Q8M3UZRqGNwqWhy+noFB2WbNmDcaNG4c5c+agZcuWmD9/Prp164Zr166hfPnyJuvfvXsX3bt3x4gRI7B8+XIcO3YMo0ePRvHixdGnj2tv+HISVxfG0ul1Oaa4oatnWssOd+PvZntACGC9tHK9HdaypmdMrtcp9H4oopOjrf7bKW3jvYR7VjX8LZl5fiZqFatl0xSvruLMho106BNfQ0Wu8aVUY0Up5dzegBBgDH59fvhzq6f6lmZ7yW1XVFKUyTJ7fH74c9QqWssp7+Wo1MxUu4uKWttDZi6TyhLpsLhPD32KykGVbb5B/mDvB4bHf4X9hd33dqNakWr4oeUPFocJzzw3U/SzUgHJftv72bRN1pALCAmmnpiKewn3cC/hHjJ1mahbvK7Z95IrKAqYHsvOwgeBn6Q8wZSTU9ADjtV4ErImbRlmaauB/5kOQfzp9E9OuR7IydBlKE9KkEWj05jN5jDnx1M/Wr3umSdn8FrB12SfE67JwsQTfGdekiYJ52PO40LMBUNngZS/tz/23BfPICgM51h0ZZHitNiC+AzlmS8BNruilNJMRnJarW6F6oWNGa9/hv2JP8P+tGoWPQCiukF8cNScOkvrWL19lsh1QDxPe644gxUAXH12Ff9e/deq9+czbzK0Gdh8a7PZ2o7CkD4+8O2seorSYUpnos8YAizP0p6h0/pOJkFCW/YFaU0hc3U6ncWRWnGuZk173BpK9RGl6i9jQZdxDcZZXFdu8gxrpGvTMWz3MNyKu4XQ+6GYf2m+qLNIiRZanI2RHyZnqxdpL8zOQpeXqPRuLrvdtGlTNGjQAHPnzjUsq1GjBl5//XVMn26aXvrFF19g69atCA83NoRHjRqFixcv4sQJ5SkyeQkJCQgKCkJ8fDwCAwMd/yXc4EXaC4u9hY7o+VJPsw1hQjxNjSI1HEoxJbZb33O9oSYIUTah8QT8ceEPm+qnkZypQYkGTmu8u0K5guUwynsUvoozne0nLyvpX9JsdhYAlCpQyqqZ97KLMDRIbhgV8Rx9qvYRzWhmyYVBF5CuTUezlc1cuFXu161SN/R7uZ9hyNGgmoMwofEE1F5S281bRlypkF8hxRlSXaFpqaY4FW1aGoF3ftB5US03T2JLzMOtmUIZGRk4d+4cvvxSfEELCQnB8ePHZV9z4sQJhISI6zZ06dIFixYtgkajgY+P6R8tPT0d6enGns6EBBZV12g00GjkZ3fJ6Vy93Zla6wt2EuIJKCCU/SggZB1+Nhvi2XJyQAhgmQOZQXR9l7IUEAKQowJCgDjzjnguWwJCAKtXaW3mlCfbeXenKDM4U5vpsfdsxHrZGRACrKtbe//FfVQIrJANW+N8thwzbj2rPH36FFqtFiVLlhQtL1myJKKj5S++0dHRsutnZmbi6dOnKF26tMlrpk+fjqlTTYvQ7tmzB/7+/ibLPUGSzvzU6I66/sj+oQY5WT2fegjThLl7MwghhBC3mBI/xd2bQAgAIJ8qH9L0tk8nnZeti1jn7k3INmGxYYbHd+/exY4nts1URYglN+PM1yEc4D8AV49exVXI11DM6VJSrC9NkCNCzdJK4/xMHtauL7dcMHHiRIwfbyw+l5CQgODgYISEhHjs8LFnqc/w06afLK9op1iV/HT07lTQp6DirF3WalytMcKuhDlng2wUUj4EeyL3WF4xm3Sv2B077tEFNi8L9A00W4/AHbxV3iiUr5BVRcoJ4b0U9JKoWHNuU71wdVx/4f4Omy8bfYmfzrqu/UFyrleKvIKrz513c1SzeM0cn11HcobgCsHo3rg7vlpJQ19J9hnRdQQK5zMt8O4phNFR1rC+DLwLFCtWDF5eXiZZQTExMSbZQIJSpUrJru/t7Y2iRYvKvsbPzw+BgYGifwDg4+Pjsf+8fVwbz5MLvri7KKszCl+XCyznhC0xr3QB02y1ITWH4Lf28tNH2uqvjpanoreGv68/elXuZXE9a1Mm+1Ttg7H1xqJGkRqObhqG1x7u8HsAwAd1PSe9fnvv7VjWbZlV637b/FvLK1kh0Nf+oPh7td5zyjZIze08F3v77sXfnf9G89LNsaXXFpQPMJ10wJx3arzjkm1zty2vb8mWzymaz3gtrRxU2Snv6a3yRosyyjMdOoMr3n9zr81Oey9LRagtKeBbwElb4pg25V1Xz9DT9XvZ+YXOBW3KtcHlIfKz7mWXLxo5dxaefN75bFp/SM0hGFjdtAg5L8gvyJFNyrNeKfqKVUV+3SVDlyFbIoQwG1/bKLp2E8f5efmheMHibr/nd/SftdwaFPL19UXDhg0RGhoqWh4aGooWLeQbd82bNzdZf8+ePWjUqFGeOlm4oz64ueyt7GDLLGSXBl/CZ40+M1kuF7CxpFHJRpjcdLLVN5pzOs5Bp/JsGtyKgRVRt3hdjKgjnnnszZfftHk7BJZmB7GWn5cfprWchrbl2qJiYEUc6HcAe/vuFa2z9fWtKJa/mMX3GllnJKa0mIKRdUdiQcgCh7ard5Xe+LC+6XS13Sp2k12/XXA72eXdK3V3+CYsO1UIrGB2/xxTbwxUUKFswbLoU9U5My0G+tkfFKpSuIpdrxtRe4RoNosx9cagaemmeKfGO1jRfQWalmoKL7UXmpdhUy6/VOglmwPCjUs1tmvbcjo/Lz+nvE+loEqKz1UpVAXbextneAryCzLMJMfrWrGr4fHrVV4HAPzS9hcs67YM/t7iYdl/dfwLW3tvxbxO89C/Wn+rt/OHVj9YvS4A2fOGOZaC4tNaTEPlQtYHxeqXqG/2b+To3+9F2gt0rtDZofeQI3dNKVWglOL6rmp/fFT/IywKWSRaZikAoOSloJecsUk2+7TRpxhZZ6TD71MifwkAwN6+e/FN829QvUh1fN3sawDGYH7x/MVFrxlbbyxqFq1p8l5vVH0DACvgag256dO/bf4tvmr6FWoVE3cOFvIrhCVdl5isL+1EVGo/+Xr5WrVNgs8afyY6f8md6yc3nWz1+5UPKI/NvTY7dSry+Z3nY0nXJdjeezs+bvAxAMBH7YMZrWeI1utSsYvJa+XarcLrbVluj1ZlW2FMvTFOez9rWVsfacvtLZh9frbJ8jrFnTd7nKdqVroZqhaumu31eAS2Xpd+a+ucTnJXC/ILcvu9b3Zya1AIAMaPH4+FCxfin3/+QXh4OD755BNERkZi1CgWrZ44cSIGDx5sWH/UqFG4f/8+xo8fj/DwcPzzzz9YtGgRPvtM/kSaW7lqmvZPGn7ikvfNbkoHsTUBDqmXC7+MAdUHoFsl+aCElL+PP35u+zMWhizExtc2Ynn35Yaeq2+bf4vOFTrjyyZf4uiAo/inyz82b4+0AZ/fOz9+afOLyXqWGtO+Xr5Qq9T4s+Of2NZ7G4rlL4aSBcQZeko3j4X9CuOt6m8BYDduY+uPNTwX4Btg1e+hZGqLqbLTqcvclwIAhr4y1GRZs9LN8Hnjz9GiTAt83/J77HxDeTrYnMTcTWOFwAo4OfAktr2+zexFqnYx05k5+Jv6NuWMvfz5vKzvpZVmgEkbAR2CO+DVl14FAPza9lcE+AagaammJpkm5QPLY/ArgzG67mgs774co+qOwsKQhfiiyReoU7yO7O9ma1CIn8bWlbK7Meqrtu0GSs7Xzb7G+p7rTZZ/2eRLzOs0D/92/RcFfQsalqtUKhTwMc1Q+ab5NxhcczA2vbYJ01pMw6H+h9C1YlfUK1HP5PhtXbY1ggOCoVKp8FUz61L/V7+6Gq9Vfk02yFy1cFXZ1/j7+FsdNF/76lp81OAj0TLpjWvvqr0VXz+1xVTsfGOn6Hhb2m0pprSYAgB4rbLplOLSGzhbgwcFfQpiSosp+LLJl1jVY5VheYCPY+dcueB5u3LtFNe3pnNldN3RNm9H7eK1kak3FsGe12kePm30qV2/3+Zem1GnmO3H579d/0VhP8tDBZqVlp/5yd/HH4NqDjKcW4VADsBmGbQmO/O1yq9hW+9t2Nt3L0oWKIk3X34T63quMwTq/ujwB5qWaoq/O/+N/tX6o0i+ItjSawtG1h2JNa+uMXm/r5t9jdntZ2PjaxsNy8zdiEuDTQDQ9+W+6F+dBXTf9Dd2aun0OjQo2cBkff4cAih3QPiofWwORPDZRXJBEV+1L3q81MOq95rfeT4qF6qMJqWa2LQNSvq+3BfNSzdHg5INUCGwAobXHo6tr2/Fhtc2oG4J8XEmd13jh6nw1+0+Vftg7atrTdaXnpv5/c1W3mrxPvFN829cEoTmfdnkS0xqNslk+fTWprNPA8CCy6bXg/xejnWUyl0z+O/+5zb2TQQh7Ryx5rxiLy+1FwBAq9caltmTCS4NplcKqoQLgy5YfF3Pl3pa/Rn/a/c/tC/f3urzs9J9W9cKXWWXO5Mz2lyexO1Bof79+2PmzJmYNm0a6tWrh8OHD2PHjh2oUIENWYmKikJkZKRh/UqVKmHHjh04ePAg6tWrh++++w6zZ89Gnz7O6Tn3FK7oqXv3lXfNDv2R6y3myd3ID6k5xOHtEtj6O8utb0+WjXCTyjf+25Ztq7i+v7c/fNQ+aFq6KXy8xA2Wvi/3xe/tfoevly+C/IJQwr+EzdtT0Efc2FKr1KhSyJi1EeATgGG1hsn2GPLallP+HXjVClczWZapz8TEJhOxp88ek5sf2YCODZQCHkp/f+kNSt+X+2J+5/ko9n/27ju+ifKPA/jnstp0713aQtl7772RIbI3MmQLojLEATgQkamCyBZFWQqiiCDKUIYK4k9F9iilBQqU7qZZvz/SXO5yl9WkTcf3/XrpiyaXy9P0cvfc9/k+30cZAoZh0C+xH2J8i3/aoCt4yPhBIW7nXKvXwkvuxR5T3A5cozBTp1yso8lNp+dOP5RJZNjSfQtWdFiBhmENrbZtV59daBPdxtRWswDWtIbT8E6bd3B2+Fl0j++OU8NOYWP3jWwWCWCYWtG7cm/IJXJMaTDF7kyuAM8Ai8+93eZtwQ1sSaVQO9MZjfCOwNnhZ0UDgYOqDUIl30q83yvaJ1owqm7MJrBlfdf1vPdVSBW8bDMJI8GImiPQOrq1YOoFA35QqFNsJzzf8Hn4KnzxctOXkRiYCIZhEOQZxG6j1plWu/hp0E+C77T5zYcY47m6RWQLnB/JrzliLQvE3pFznV6HMK8w7OmzB2s6rsHfY/7G3GZz2e+c2I2xUdOIpuhTpQ9ifGMEv0vvyr3x/TPf483WbwrbZnY9aB3d2mob32nzDu9ntU4NP4UfRtQcgTohdfBq81cxrMYwNAhrYHU/RTGz0UxMrj8ZX/f9WvCcXCrHu20t1xQaXmM4pjSYYjF4Z0m+Jh+NwxsjwT8BPRN6onV0ayikCnzT/xvedp/1+sziPlpGtsTO3jvBMAy29dzGO/+IMe/XNA5vjEWthAuTmHu56cuCx4znUH8Pf/w+8nf8PeZv9Es0ZaNpdVreAIoR95qZGJCIBc0XwEvuJRikMWoU3ggbu29EYmAiXm3xKn4a9BMqB4h/J5pFNINMIkPHSh0R6mU6pr95mv+ZRnlHsf82Pydxv9sAUF9hOm9zb0K5zAccLAWhMlWZmFx/Mnol9BJ9nsvYP+UGhcT6BQW6AsxrOs/mFOcWkS3YvoG17ElrzKesvtHyDcH5LsE/AQn+CZAyUt7j3PMkYMgy597If93va/w8+GcsbLkQLzR+ATWDa2JFhxW819QIqsH7eXD1wXZ9lmLMz2W1gmrh/fbvOzx92151g+uif2J/+CuE0/3M+7nWcI+HomTpySVyXv/+j5F/YP/T++Ep9cTImiPRM6Enjg85bvf+2kS3wbou63BqGH8V7S09tmBA1QFY3Gqxw220xfj94mbiFiUz1fz7XCe4js3rdagy1GK9V7FjsUtcF8glcnz+1Oe8gbV9/fZhfrP5gixVbkZdl0pd8GytZ/GU8im81eotrO281ubvJKZ1VGuLWXlczt7PlDWl4redOnUqbt26BZVKhXPnzqFdO9NI9tatW3Hs2DHe9u3bt8f58+ehUqlw8+ZNNquoIimOTKFOlTpZPYnYGq03j/q+3ORlvNTUdRlck+o7drJvGC68yfWUeWJjt40OjQpF+0QDMAQrtnXbhgbyBni+wfMWt/eS27+indgIvDUrO6wUzMGXQMLbz5pOa/BC4xesZpNs77kdjcMb2/Wezzd6XjCC3jG2IxiGQaSP+Ijxjl47sKz9MqzquMpqpzzeL553AeCOcjWNaMq7GHGP+QahDfBt/2/xw4AfBIG+l5u8XGwn8gahDVy+z8WtFuPIQMOUWKVMiWXtTVlf3GCW+fcv3Mt0w7C2y1pMrT8VX/f9WvR7ammkJcwrDE0imqBrXFfRQIr5DZP5zYExdX9xq8WoFlgNDMMIjn9uJ+O1lq/ZFRAw91brtwTvPa/ZPJwfdR59q/RlR8mMmoQ3wfMNn8eajsJUcyPjFE9brGVFOJMVp9frBZ/Vl72/xLN1nsWLTV7Egf4H8EHnD/BR548Q6xuLt1q/JTg/Hx181K734t6gGY8bY0YLAKudfvNModWdVgumw5prHWUIdsT7xfNuRI0+7/U5ulTqgm+e/gbd4rqJ7oM7ysoNpkysOxHxfvEW39vejrDxhqx6UHV0rNSRfXxZ+2VoG90Wn/b8lH3spSYvwVfui129d+H0sNPY3H0zG3x6pfkrUMqU7DQRwPC9FTsHxfrG8n62NdDRKLwRLzBkfhM5pMYQvNJcOMpuTd/KwgwmMT4KH0xrMA2JgYmi03G41w/jKHGXSl2wved29rrfPc7QmRer8SKW4ekt94aH1AP7++3njc6HKEN4f3PzYLIxgNcpthM+7PwhOyAik8isXgvG1RmHL3p/IXiclylndg5sENoA85rNQ7XAaryAWY2gGqKBQO7x+CDvAQZXG4xN3Tbxbhg9pB54rcVr6BbXDbt673KoDwFAcP4zqhdaDxu7beQ9dnLISRwecBixfqZjcVC1Qbxp2ObTzMSmhxlpdeJBIYVUwat9F+EdgaHVhwq2e5T/CIAh825s7bGiU6qMbTQGIrkBLG6/oENsB8glctQPrY8AzwDMajzLYrsB/t9WIVXwBj3s9X779+3OADG/Nmt1Wuzrtw+bum3C32P+RtuYtrygkJSRIkQZggHVBrDHRNe4rrxzzcJWCzG42mC83ORlfN7rcwDA4taLMb3BdLzY+EWHfpebGTcBAKs6rMIrzV9B7ZDakDASfNrzU957AoZz+OEBh/F++/dRxb8K2ka3ZZ8znv+N9vTZI5pZt637NnjJvUTPD7YGqbi4fQqxoKstiQGJvKCGh9QDCf4J+HXYr5jbzFBDy7z/YU2QZxDaRLcRfC+rBFTBwlYL0btKb8FruJ8fYLifeqnJS4LvryXGz4CbiSt27QWAN1u/yRtINPZrE/wT2JpSNYNqYmTNkWzwe3P3zXi95eu8v4tx+vW6LusE00oBQ392aA3hd57L2A8L9AhElYAqGF5zOI4MPMIL0nHP4Ss7rsSMBjPQ0qMlJIzE4XMlAMT4xODjrh9jTG3bSQsVaeoYUEpWHyOlQ73Qevhf2v8sPs9N6xbzXrv38Nqp13A29SwA1weuxtcZj7bRbXHo1iH8nfY3PGWeOJ5sit7XCa6Dfx79w/4sloWglCnRPLI5VFoVfrv3G/v4krZLEKYMw5nUM2x66tymc5GcnczryNQNqYuB3gOt3pQ4MsfbkdEQwBBhV2lVvMckEgmvAKnxc7eU2bWh2warI8uJAYm49uQa2/HylntjbrO5iPCOwPUn11EnpI7N1Oy6oXVRN9RwUk/OShY8v77reqy9sBZvtHwDk4+YgrqDq5uKdH7S9RMUaAvQfIehvgG3QxXpHckWwNbpdWyblTKlxZvCE0NOYP4v8zGs+jBM/8nxjsPzDZ/H04lPo9PuTnZt3zq6NX69+6vN7eqG1OUFxnrE94C/wh9b/tmC11q+hl5fGUZazDuUdULq4G72XQCGv9GUBlME23WK7YSl7ZZi0hF+QHV5++XYc2UPXmxi6jTOazYP2epsjKg5AjN+MtRmGVx9MM6knmFTyGc0nIFf7v7CZpl80OkDXE2/ajXjxxXngaqBVfHz4J8x5NshuPTYtPqS8btmfqwzDGM1cGEs1lp3m+EYfTrxaey7tk90W2uB28n1J+Pqk6u4nXnbrt+DSywgUDu4NmoH1+Y91i6mHTvlTyzgF+QZhMf5j3mPnRt5DgO+GYBbmbcM78X5G3CDiR90+gBrL6y1WrtHxsgcPk8tbLUQta/UFp1CBQC1gmthZceVAIDlHZZj6z9bsfwcv8aApazOZ6o+gx9u/WDxvc2zqZpFNEOBtoC3tDEgDLAYNQ5vLAiYj6k9BqNqjRINMNQIqoFTw07ZDHZObzAdjcIbYftFUzF5S1kWRt4yb/Sp0gfLfl+GdFU6usWLB9B0MB0XQ6sPRaRPJFaeM3y+b7V+C+n56Vh+bjkUEoXolNGxtcfyvvfmWUBDawzFgGoD8Fvqb2xGRYR3BLb12AalTIl4/3h0jeuK5pHNeZ30cXXGIdInEs0immHEdyPwIO8B+1zPhJ7Y+u9WAIYgbr3QemgS3gSAeEe8Tkgd9ng2t7P3Tpy7fw6d4zoLrr856hzR1yxutRj9q/bHrQzhPrnfzXMjz6HJ502g0+vgq/DF9l6mv19iYCKODT4myJSzJME/AVKJFM0i+YNSCqkCg6sP5l3/nPFq81fx8f8+Fs1aCfAMQAACeI8xYHgBy2frPIt91/YhSBmEnU/tFGS4cRn7he1j2vP6Yx5SDwysNhAf/PkBHuc/RquoVuhTpQ9G1xqNXl+bsgeM5y5PmSdebPIiPv/vc9Hv9+stX2f/XS+0HmY2mokYnxjsuWqaCruyw0oUaAss3igOqT4ER5OOWlzZskFoA/xy9xeLv6sYX4UvXmj8Al4/9brNbc3PERqdBlUCqvDqlpkHhcQYA6pNI5oi2icar7XkTxnzkHpgUv1J0Oq0uJ11G/VC6uG7G9/h7L2zVtuXVZAFAOgc15n3eLAyGMNqDMPq86sBGBbwMGZ4RPpEont8d2h0GvT6qhcCPALwRss30G2v4Vx1atgp+Cp8sbTdUvyc9DPW/rUWD3If8PbPDQp98dQXqOxf2aGbfUcCNlxrOq7B9ze/xwuNX8CIgyMEz5tfSyK8I3Av555gu6qBVXE1/Sr7s61rgfnfdVn7ZYj3i8fJuyfZ13/+lCHAZwzU2cLd56qOq7D+r/VY0nYJ+u0T1s17OvFpPJ34NNv/ifWNxfIOy+Gr8IVSpkTjsMYI9w7nXe+aRjRF04imOJl8kn3szdZvYm6zuezg2M7eOxGqDGX7yAwYwXV8Yl1+v2xUrVHwUfgIgobc6aYSK/krKo3K4nNiJIwEe/qazhmT6k3C+v+tt7i9rRky5Q0FhQgAQ8dWwkgsXoQAwwXMmkifSGzougH1PjVcLFyxWhgXwzCoHlQd1YMM05le+Jlf/yjWN5YXFBJj7BCbpzIHeQShWWQzMAzDBoU6VurIZgmJtcVaO+1VlPROD6kHjgw8gq57DDfqEkh4o+rGoJFYO3zlvhZrIRh91PkjbP13K0bVHMV73J6ouhixec2tolqxadeRPpG8mwUjmURm8eIqkZguEhJGgr199yJbnQ0GjMVR00DPQHzc5eOi/AoAYDM7wpxCokC0TzQbuPlz1J/IVeVi6tdT8Zf6L1P7JcILXsuolmgZ1ZL3mPn36ZXmryBHnYOB1QbyHufeaK7quAoMwwgyWrrFdxPcYIZ7hwvqtwR7BvOKDkd4R7A3QYAhYGJr6oqlkWRHSRgJvnzqSzTYbv39iiJUGYp9/fbh6f1PC55b1GoRJhyegDxNnuC5EGUIvu3/LfZf249XfxWvlbO07VLMPSlcscdW8FaMhJFgz1N7MO37aRjf2DA1YnvP7VhxbgWOJpmyhhRSBRqFN2JvonPVuexz3A54h9gOFgu1z2o0C5v+2YQ5Tedg4z8b8b+HlgcMzAV6BuK5es/Zvf0z1Z7Bzss7UTO4Jo7cNmTNmddjOPjMQTzJf4IY3xir04DNgwJvtX4LUokUnXfzb3RsXc/MWcs4sXUTEOcXh0n1J+HPB6baDEvbLrUaFJrZaCY7bXL/0/vx+73f0TG2o/jGnPjighYLsO1fU2ZH3yp9wTAMaofURpxfHD6+wD8HHh5wmM34/N/o/yFPkyd6QyaXyAXT3bi1ZLjZVuxrpHI2MHhowCFo9BqsPr8ajcMb827k+iX2sznNa16zeQhVhgpG2euG1EWoVyh6JIjXlzDv09QOro132r6DBD9DcCvaV3iNrxNSB8GewYjxjYFcKsfm7pux+vxqzG82X7BtsNL2VNW9fffibOpZwe84oOoA7L26F883tJx5XBRDagzB4OqD7e6LMAyDwdUH4++Hf6NVVCv4e/jj2JBjdr3WeH5f02kN6n9qGhww3lAfHXQUeZo89hpkfi1Kz0/n/cz9XraLaYcTySdEp54ZVyjdfWU3+5i1PgNgOIYm1J3A9p2MfUmjtjFt8eGFDy2+3hJ7s1/DvMIws9FMNrgiNtDKvRm29PeTSWR2rdAqlUjZbK2+Vfrir7S/MOaQoR/Xr0o/7L9u/2qWXjIvtIlug3xNvuiqrjKJDIcHHmZ/3t9vP3wVvuzfO8gzCAOqDcDFRxex68oueMIUnOYOOsT4xDgUEBpda7TFAL+5QI9ADKw2kO3jNwpvxJ63jAExa7Z034It/2zBrium2k7be25H7eDayCjIQMddhn3ZKpxtfi3pEd8DKdkp7M+dK5muVdauU43CGuH8A8PUam6/t3Olzuw+OsZ2xM93fsbbbd7Gvw//5e3bSCqR8kpZWJoBAPCz1837luYlKySMhDcIwb3WGMkkMtGFd7jZimJ9ZCOxembWxPvF8wb6pjecjukNp0Ov12PTP5vwxaUveEHLipYpVCqmjxHHuaqm0LYe29Asohneav0WAMtpyIB9nWjuF8hShoC9BZsdeS8AqBZUzeZrjL+f+e9pDKRwT9a2Coyt7LCS/XdRVwQr6gmHm1nCMAyvU8L+LiJfb3uyNqJ8ovBK81d46eXO4J60EwMSBasPvdPmHbSOam2z6DY3KGL+u0kYCfwUfk4XuXZE78q9sbjVYsGUEKNcTS4vq0smkUEpU6KnsieqBjhWawMQZhUEeQZhXZd1gos899xgPL7Mi37aMrPRTFQPrI4RtYSjZ44es5Y+n6KwdH4aXXu06ONixtUZJ3gsyDNIdJWpZhHNUC+0Hn4Z+gvbaeKudmO84eyX2I+XPcc9x3FvlpUyJXtjP6Km8LO1R2X/ypjhNwMDqxqCgZX8KmFVx1WC85Vaa+ooN4tshqqBVTGg6gC7/37j647HL0N/QWJgIl5u8jJaR7fmnfNcyU/hh4PPHMSKDiuwuNVivNX6LUF2QqxvLJt9aO18yw20/zL0F0T6RIqOJBd1dLkojN9J7jHWq3IvqwFTbj2pQM9AdIvvZjFjw3yaADcQYvx7N41oKlrDjttJF5v+6SpyqRxKmRLzms1D17iuvJsFe26q/T38MbvJbFQL5F/nbWXmTm8wnTc9UiFVoLJ/ZfZzkUvkvCwUwDAF/NCAQ+y0qcbhjfFpz09RM9hyzUVrqgVWw6haowRtfa3Fa9j/9H6nViO1xNHztEKqwNJ2S3k1kKwxTkk2Zoma3+gav4cyiYx3XTbPvDQv4tuvSj+EKcMwpPoQLGy5EEOrD8XuPrthia0+jfGzrRlUEzKJDBHeEfjiqS/wbJ1nBcGNWsG1sK3HNhwacAgnh5y0HIQ148h0dW4wR6xPzR1Ey9fk271fW6QSKa9G1chaI9EhpgOvvo21BRoYhsG6Luuwuftmu46tygGVRacvzW4yGzMbzMRUX1Mh+mifaPSp3Aejao2yWj9QjIfUw+pgNtfxIcd5/RHueSdfa/uzjvGNEZTEaBDWAHKpnDdFn3uetlTfyTy7mpuVNLvxbPbfYgEvhUSBcXXG8b47ls6DqzuuxvmRhmn285vP52UpTmswDaHKUIcWBZhSfwq6x3e3OjXfiGH4g7TcGQ22cINCxs/QfNESwJBh+F3/79if9/TZgx29drArLpqzlKzAMAwm1J2Ao4P4U/IzVBl2t7k8oEyhMspVU7MahTfCpu6mJWCdyRQyZylw1TO+J76/6dhqUGKrR/VK6MWOKgOGlWPkEjlvdSVLzDuhxsAF94Rha6lU7gihUqYUzSSwx8KWC7Hh7w1sRomjzP9mxk6zK1ZxcoU4vzjs7L0TQZ5BosscV/KrhI+7Ws7gqRFUA5ceX0KfKn3YbIiSLv5mKUDYv2p/5Gpy8e5vhukWKzqswOxjhgt6njpPtFPnI/HBZz0+Q/MvDdPibB03LSJb4Pd7v4uO8IgRyz5oEdkC3934TmRrcRPqTrBrJNIePRJ64G72XZcVw+2V0AunUk6xK50BhvoDRwYewb5r+yxmvhgZV80DDLVQfr//u8UbIeN3SCFV4LOen+GHWz+gf9X+eHr/05BAwhvV5QYqnq7yNHuO85R64uUmL2PZH8vwTpt30DamLS4/vszOwX+95et45ZdXirRak1hbjbjHgYfUg7fykL2M37NgZbBTWXb2MLbf2opfRtbO8dzztjErinu+j/OLw6iaowRZAsUp3j8egOGG7+igo+wNs7VMIbE6G5a80PgFZKoy2Y6wPdkrgGOrD7oa9+/kzCCX+XRqc7F+sfiq31do8plhaprYtWNg1YGQMlLejZp57b7iIJVIrRZNLylFmSKxsctG7Lm2x2IGsaUsaO4N8/qu6wWFmgM8A/DjoB/Z88GCFtaXl7d17LzS/BXUCKrBq3lSJ6SOaA0UgD+ItabTGnaKjTX2BiWMKvtXxo2MG6L1k7jHXZRPlOB5Z3D7MSHKEHzQ+QMAYKe+2TNY5WzmhLfcG2NqjcHBWwd5+3yn7TuCbT2kHja/3wzDCPrqlkphMAzDu3fi/t3seS/z1zSPaC66DTdTyFLA25i5JbZfbl9CbOVFpVwpWCna0jHIMIzFwYTJ9SdjUr1JDv1NfRW+eL/9+3Zty4Dh1ar0ltkfFOIO2tQIqoEjA49YHMip5FcJG7ttRKBnIHv/UyekjiGz+ophqpjxHs3R1fTMp+aXdxQUKqOKa0l6azfbtmoKmbPURkcKzQ6qNgjNI5uLrh7VuVJnvN/+fbx03BC595R5CjooazuvxdSjwpst7gn0056fsh1wbuDL1ggk9wLrTOd6QLUBiPCOwOQfTbV1vGReeLbOs/jowkeC+crmjCf0IwOP4HH+Y3YkpF1MOwR5BqFOSB2cSD4BoPiOG1tsrYRmzbYe23An6w6qBVZDvZB6+N/D/9mcauBqYjcIYkFD7gUnV5OLyv6V8b+H/xN8r7jHlq0VpD7p+glUWpXdNylif+O+VfpCq9PavdqXK0kYicNT76x5t+270Og1gu9nhHcEWyTRkvqh9XnZEm+3eRt66Nm/T4BHAJ6onpjazslIi/SJxNg6YwEY0qDB8M+XU+pPwfn75zGw2kDeDT3DMBhdezQGVhvIZmFwV9zoU6UP2sW0cygIIObDzh9i1s+z2KLA0xtMx5nUM7wgWHkRrAzGqWGn8OyhZ3E5/TLvOVvn7VpBtdiltYvbZ70+w85LO3kdeFsrTlbyrYQpDaZYLBIqJsgzCKs7rWZ/7hbXDWernhUNxLaLbofdVw2ZF8WVFWQPXlDIieuSPZmI3O+pWB+HYRiLI8sVQVEGWSr5VmKL8IoxX0mTa3qD6bideRstI1uKPu/ITWqziGb44/4fFn8HmUTmslpNljiaVf1pz0/xz8N/LE7lPzP8jNXaSEXF3R93eu6u3rtw+PZhQb0Xd/u2/7fsVD9LctW5mFhvIn649QM7ULSx20bcyriFwd9a/7tz7wOWt1+OGT/NsHpMA/zvyuwms0W34d7jTG0wFb/c/UVQcLlJRBPezwEeAWz/kZslE+sXi1ebv4pAz0C8eNxQA1Ise8XaLA9rinN6lLEQ9Lf9v4WUkTrUxqE1huKb69+wqySLDShzNY/kB+gYhsHU+lPZoNDWHltxJ+sOOsXaVxPUyNb7ljcUFCqjimNJeqDo08fEirFaaqP5zW2gRyAYhhGNyJqndXMxDIPu8d0R7RNt8YaqbUxbLGq1CG+ceoP3OPekzZ3PzB25tVZc0fz5llEtsffqXqvbW2M+Urep+ybUDq6NAVUH4Kekn/DW2bcsvtZ4kYrwjuCdwLzl3vhx0I+QMTK2zlNZ5CX3Ykf1t/TYgvu59106JYkr1jcWd7LuCB7nHi/zm83H7iu7Ma3BNABgi6MaGTObusd3R58qfbD2wlqMriWc3rS/335kFmTavPljGMahUet32ryDiYcn8lZekTASDKg2wPKLyhCGYSBn7C/mbvR8w+cxoe4EXieIYRjed29Dtw1Yc34NW/DR0o2G2LkhzCsM+5821WiY3Xg27zi11sF3NiAEGLLBTg07xbY51i+WV/+pvPFV+IoGgCxleEoZKbR6LS8gV9zqh9a3GohtGdkSNYJqoGZQTcT6xuLra19jS48tNgNHtkglUt7qclytIk2ZGY6ufulK3HNqUTJYd/TagT1X92BGwxm234szcl/Rlhi2R3GcI6yt8OroSrLWjK87HkGeQWgV3cr2xsWkdnBtvNn6TYs1KM35e/gL6nNxecu9i+W76S33xuqOqwWrNtUMrlnkqZHFyZ4b8ieqJwjyDMKhAYfYx5QypV2/D/d+p31se5wZfsZmII4bSLIWiDSK9okWvQ5X9q+Mr/p+xWZ1MgyDFR1WiO7POIgRcy4GydnJqBkk/N3sPfZKkjHjybgojCP8FH68epZFwf3MgzyD7B6cXtJ2CfZe2Yt4/3jRFRPLMwoKlVHFlfFR1OljYlM2LLWxUVgjtI5qjQJdAfwV/pjaYCri/OKg0WnQfW933ki9PSylARv1qdIHFx9d5I1KcU/a3Cwf7u9oq1gc97OaUn8KEgMSBcWBi+LM8DNshyDUK9TmtBtrfzPzmyZrS0+XBQqpotgCQr0r98aoWqMw5FthFgH34j+85nAMrzmc/bl6UHXs7L2TvZHb2G0jzt0/h7YxbSGXyC2u7FQ5oHimDdQLrYdTw04VeeSovFnYciF+TPoRI2qOsHnzUyOoBtZ2WctOGXDmZunZOs8W+bVFZd5JLa8BIaMXm7yIZ3/gf86WVkr77pnv8Fvqb7xph+4ml8p59VJcmVFnCfeYcGdQiKsog1zcFS5t4f7Otq7rFYlx5UJHR88t4U7B4dZeK04KqaLEMv+MxKYalXT2clF1quSav3Vpka5Kt70RB/dcY369tCczi3su4a7kyWU+G8LSdbhqoGO1JTd234jtF7djZM2R7GMfdvoQx5KPYVStUVZeWbKWt1+OFedWYHmH5bY3Lkbcv68jU2R7V+5dqvoJJYmujmVV4XnNmVo2YqxOH7MSFBJblcNSR08qkYrWkFFIFfCWezscFLJFLpHj1Rb8lYG4gRTuyDK38KetGyru6GawMhgja420srV11jrq1YOq48unvrQ4emzPye7Lp77Epn824YVGL9jctiJ6veXreCrhKdEsIcD26DJ3BMLfw9/tHS8KCJkMqDagyFlSlFVQujWJaIJ4v3jeUuWzm8zGmdQz6BLXhbdttE+0XfWKKoI2Hm3wi+oXvNTkJdsbl4CSnNZM32mTA/0P4E7WHdQOru2S/SllSrvqspRlnSt1NhS3daBGH3GdiXUnsquHAcLV6yyZ03SOy9qwv99+5GnzEOgZKPq8IyUyHBHtE415zebxHmsf2x7tY9sXy/sVldjqtu7Anf5f3gfIXIWCQmVUUZYzNor0jkRqTqroc9ZG0RwtiqmD4ynhHWI74PP/Pnf4dc7gTs1R6+1b2hIwrKTVNa4rwr3Cnb4I2Dph1Q6x3Gmzp5NbO6S2xdTUis5T6smuUML9OzSLaIbf7v0GgG4kKiqxFfxI6WK+ElmsbyxODDlRbB3z8qC7Z3e83edtBHmX3Aps1jQMa1hi70UBcxM/hZ/LAkKAIWCy9+peRHpbXtK6rJMy0iL1u4lrmBfRtyfLsFFYIzaTxhUBaFtZ3pZqZZGSxVsNu5hKrpQ31Gsqo9igkIPRz3Vd1uGLS19YDApZu/kVWxrRqiJ8B2c2mokjt4/gQe4Dx1/sAG6Ai5spFOghHvkXY20OcEmigIXjGoc3xrn75wSPc4MAH3T6AM13GIrXObq6CCkfaHSpbLJVD66iYxiGt0y4u5wYcgKP8h4hwT+hxN6TzuXFZ07TOagaWNVl09FKIwoqupf593dRq0U2X8MdtC7OrMRjg4/hXs49q4O4pORQ/81xdDdZRhmXYs9R5zj0OkurHRgVtdC0GOPJ15GljJUypWhRXlfjThPjLp3aLKIZJtWbZPeSi67ip/CzvZEF1Ml1nKVRA4lE/JRII4MVEwVcSz93rahInBfoGYjEwMQSfU/6ThcfL7kXRtQcgUif8pspRDWp3Iv7/Z3WYJrVgtLGJczFap4Wh2BlMAWEShHqtzuOro5llKPBICNbXxJLz7/W4jXBqi22lv41dtZbR7cudcsih3ubCsTxipExDKY3nI7u8d1LtD21gmthYt2JVldbM1cjqAYAoHeVilkQzRncelDcm0pLK0vQ6GDFRDeQpR93oQBCbKGbeuIMqYSmj5WkhS0X8q7D3H/bGhD4qu9X+KjzR2WmCDgh7kY93jKqqPUSbKXTWboJGlx9MBqGmub9T28w3epSuwD/xru0LZcYogzBZ70+w75++9zdFNbzjZ5na9vYY1P3TVjbeS3G1h5bfI0qpwZXHyz6uKUaMtQJrJjo7176LWq9CPF+8XinzTvubgopAyxlgxJiDykjpWkpJWhAtQH4qu9X7M9SRoqp9aci3i8ew2sMt/JKQ+ZOu5h2/EAS1ZYhxCIaMimjijraxYCxelK0dhM0sd5EXMu4xi7Xd/beWavvxX2f4TWG437ufbSNbmtXG0uCraBWaeen8EPbGNufJxHqXbk3XvnlFcHjAZ4B7L+52UE0Ra9ios5/6VfZvzIO9D/g7maQMoLO5cQZMonM8fqaxCleMtNS8QzDYEqDKZjSYEqR9mVrhgMpP7ilQXwUPm5sSdlBQaEyqqjTWWzd5Fjbr7+HP68+kCPBG7lUbveSkHQjRoqbpWPMV+GLz3p9BplExus80OhyxUSrjxFSvlD2H3EGBRVLnpfcFBRyNtOnR0IP7Li0A80jmjvbLFLKKaQKbOm+BVq9Ft5yb3c3p0ygoFAZVVzRbl+FL8bXGQ8ddNh1eZfV2kWWOlejao3CwRsHMaLmiCK1obRNNSMVi1gGGQUHKpZGYY1w/sF5DKpu/3ROQkjpV9Sp94QAVF/QHbiZQiqtyql9KWVK7O6z29kmkTKiSUQTdzehTKGrYxlVnB2bWY1nAQB2X7Zx4rQw4Dan6Ry81OSlIhdp7RjbETMbzUTtYKriT0oHKjhcsWzsvhFpuWmI8olyd1MIIS5E53LiDBkjQ7BnsLubUaHIpaZB8HxNvhtbQkj5RkGhMqq0p7A60/FiGAYT6k5wYWsIcQ7dSFQscomcAkKElEN0LieOmN5gOo4nH8ffD/8GYDh+xtcdj5sZN/FU5afc3LqKJ19LQSFCigtdHcuo0pACTXPzSXlgzxz10h6EJYQQYltp6DuRsmNS/UnY8dQO9mepRApfhS8+6PwBeiT0cGPLKiZnp48RQiyjoFAZxa2q7ihXdYq6xnUFAIR5hblkf4SUVjS6TAghZVf/xP5gwGBkzZHubgopw4q68i9xDZo+RkjxoTudMqprXFdUDayKwdUGO/zal5u+jEjvSMxtOtfqdrYygQZWG4i1nddS0TZSbvWp3AcA8Fy959zcEkIIIUW1qNUi/DHyD8T4xri7KaQMo0LT7kXfX0KKD4W8yyhPmSe+6vsVAGDXlV0OvTbWNxaHBx52ug0SRoK2MW2d3g8h7qSH5eljb7d5Gy82eRHBSiosSQghZRXDMFBIFe5uBinjaCq5e2zvuR2/pvxapIFwQoh9KFOoHHqv3Xvsv99o+QZifGIwr9k8HBt8zH2NIqQMYhiGAkKEEEIIoZpUbtIgrAGmNZjGW4mMEOJadHYrZ95o+Qay1dnsz32r9MXAagPd2CJCCCGEEELKNgoKEULKK8oUKkfG1h6LgdUGQqvTso/JJRRVJ8QaWkWPEEIIIZYMrT4UMT4x6Feln7ubQgghxYJC3uWQVm8KCjFM0W94I30ikZWe5YomEVJqWaspRAghhJCKbUGLBdDr9U71qQkhpDSjTKFyRK833NxyM4WcsaLDCrSJboNtPba5ZH+ElCZhyjAAQNOIpm5uCSGEEEJKMwoIEULKM8oUKod0ep1L9hPnF4d1Xda5ZF+ElDaf9voU+6/tx9AaQ93dFEIIIYQQQghxCwoKlSOeMk8AgEavcXNLCCn9on2iMbXBVHc3gxBCCCGEEELchqaPlQPzms1D/dD6GFN7DADXZQoRQgghhBBCCCGk/KJMoXJgRM0RGFFzBPuzq2oKEUIIIYQQQgghpPyiTKFyiLv6GCGEEEIIIYQQQogYCgqVQ43DG7u7CYQQQgghhBBCCCnlaPpYOdQyqiXWd12Pyv6V3d0UQgghhBBCCCGElFIUFCqnWkW1cncTCCGEEEIIIYQQUorR9DFCCCGEEEIIIYSQCqhCZgrp9XoAQGZmpptbQsoatVqN3NxcZGZmQi6Xu7s5pIyh44c4i44h4gw6fogz6PghzqJjiDiDjh/HGGMdxtiHNRUyKJSVlQUAiI2NdXNLCCGEEEIIIYQQQlwvKysL/v7+Vrdh9PaEjsoZnU6HlJQU+Pr6gmEYl+67adOm+P333126T1J6ZGZmIjY2Fnfu3IGfn5+7m1Nm0PfCgI4fwlWU7wUdQ8QZpf34oWtF6Vbaj5/yqjx9L+gYIs7gHj+dO3cuN9+L4qLX65GVlYWoqChIJNarBlXITCGJRIKYmJhi2bdUKqWTXAXg5+dHf2cH0PeCj44fAjj3vaBjiDijtB4/dK0oG0rr8VNelcfvBR1DxBl+fn7l8ntRHGxlCBlRoWkXmzZtmrubQEipQ98LQoToe0EIH30nCBGi7wUhQvS9cK0KOX2MkKLKzMyEv78/MjIyKDpNHEbHD3EWHUPEGXT8EGfQ8UOcRccQcQYdP8WHMoUIcYCHhwfeeOMNeHh4uLsppAyi44c4i44h4gw6fogz6PghzqJjiDiDjp/iQ5lChBBCCCGEEEIIIRUQZQoRQgghhBBCCCGEVEAUFCKEEEIIIYQQQgipgCgoRAghhBBCCCGEEFIBUVCIEEIIIYQQQgghpAKioBAhhBBCCCGEEEJIBURBIUIIIYQQQgghhJAKiIJChBBCCCGEEEIIIRUQBYUIIYQQQgghhBBCKiAKChFCCCGEEEIIIYRUQBQUIoQQQgghhBBCCKmAKChECCGEEEIIIYQQUgFRUIgQQgghhBBCCCGkAqKgECGEEEIIIYQQQkgFJHN3A9xBp9MhJSUFvr6+YBjG3c0hhBBCCCGEEEIIcQm9Xo+srCxERUVBIrGeC1Qhg0IpKSmIjY11dzMIIYQQQgghhBBCisWdO3cQExNjdZsKGRTy9fUFYPiA/Pz83NwaUpao1WocPnwY3bp1g1wud3dzSBlDxw9xFh1DxBl0/BBn0PFDnEXHEHEGHT+OyczMRGxsLBv7sKZCBoWMU8b8/PwoKEQcolar4eXlBT8/PzoZEYfR8UOcRccQcQYdP8QZdPwQZ9ExRJxBx0/R2FMuhwpNE0IIIYQQQgghhFRApSIotHbtWiQkJMDT0xONGzfGyZMnLW6bmpqK4cOHo3r16pBIJJg1a1bJNbSU02Zn4/pTvfFgxUp3N4UQQgghhBBCCCGlnNuDQjt37sSsWbOwYMEC/Pnnn2jbti169uyJpKQk0e1VKhVCQ0OxYMEC1K9fv4RbW7o92bkTBdev49Enn7i7KYQQQgghhBBCCCnl3F5TaMWKFRg/fjwmTJgAAFi1ahV++OEHrFu3DkuWLBFsHx8fj9WrVwMANm/ebNd7qFQqqFQq9ufMzEwAhnmJarXa2V+h1NDk57P/Lk+/V2li/Fzp8yVFQccPcRYdQ8QZdPwQZ9DxQ5xFxxAx0mq10Gg00Ov1dr9Go9FAJpMhOzsbMpnbwxhuxzAM5HK5xeXmHfmeufXTLCgowLlz5zBv3jze4926dcOpU6dc9j5LlizBokWLBI8fPnwYXl5eLnsfdwu6fBkhhf8++O23CPjlV+QlxEMVG+vWdpVHR44ccXcTSBlGxw9xFh1DxBl0/BBn0PFDnEXHUMXm6+sLX19fi8EMayIiInDjxo1iaFXZpFarkZaWBp1OJ3guNzfX7v24NSj08OFDaLVahIeH8x4PDw/HvXv3XPY+8+fPx+zZs9mfjcuzdevWrVytPvY46Q4eHzacZNtotXjw3XcAgMS//+fOZpUrarUaR44cQdeuXanqPXEYHT/EWXQMEWfQ8UOcQccPcRYdQ+T+/fvIzMxEaGgovLy87FoZy0iv1yMnJwfe3t4Ova680ul0SE1NRXh4OKKjowWfiXF2lD1KRd6V+S+g1+td+of28PCAh4eH4HG5XF6uTkgSiekz09y4yf67PP2OpUV5O3ZIyaLjhziLjiHiDDp+iDPo+CHOomOoYtJqtcjKykJ4eDiCg4Mdfr1Op4NarYZSqSxSllF5FBYWhpSUFHYqGZcj3zG3fpohISGQSqWCrKAHDx4IsoeIHbhTMil4SgghhBBCCCGkFDDWuClP5VvcTaFQADAE3Jzh1qCQQqFA48aNBfNKjxw5glatWrmpVWWYA4W6CCGEEEIIIYSQkkRTv1zHVZ+l26ePzZ49G6NGjUKTJk3QsmVLfPLJJ0hKSsLkyZMBGOoB3b17F59++in7mgsXLgAAsrOzkZaWhgsXLkChUKBWrVru+BVKDwoKEUIIIYQQQgghxE5uDwoNGTIEjx49wuLFi5Gamoo6derg4MGDiIuLAwCkpqYiKSmJ95qGDRuy/z537hx27NiBuLg43Lp1qySbXgpRUIgQQgghhBBCCClut27dQkJCAv788080aNDA3c0pMrcHhQBg6tSpmDp1quhzW7duFTymp4wYUXrOUnSUlkcIIYQQQgghhBBrqGx3eUVBIUIIIYQQQgghhFhBQaHyhBKoCCGEEEIIIYQQl9HpdFi6dCkSExPh4eGBSpUq4e233xbd9vjx42jWrBk8PDwQGRmJefPmQaPRsM/v2bMHdevWhVKpRHBwMLp06YKcnBz2+S1btqBmzZrw9PREjRo1sHbt2mL//UrF9DHiInpak54QQgghhBBCSOmm1+uhz8uze3udTgddXh50MhkgcS63hVEqHSq3Mn/+fGzYsAErV65EmzZtkJqaikuXLgm2u3v3Lnr16oWxY8fi008/xaVLlzBx4kR4enpi4cKFSE1NxbBhw/Dee++hf//+yMrKwsmTJ9nyOBs2bMAbb7yBDz/8EA0bNsSff/6JiRMnwtvbG2PGjHHqd7aGgkLliV5nextCCCGEEEIIIcSN9Hl5uNyoscOvu++C965+/hwYLy+7ts3KysLq1avx4YcfsoGZKlWqoE2bNoKFrtauXYvY2Fh8+OGHYBgGNWrUQEpKCubOnYvXX38dqamp0Gg0eOaZZ9iFterWrcu+/s0338Ty5cvxzDPPAAASEhJw8eJFrF+/noJCxE5UgJsQQgghhBBCCHGJ//77DyqVCp07d7Zr25YtW/KykFq3bo3s7GwkJyejfv366Ny5M+rWrYvu3bujW7duGDhwIAIDA5GWloY7d+5g/PjxmDhxIvt6jUYDf3//YvndjCgoVF5RoWlCCCGEEEIIIaUQo1Si+vlzdm+v0+mQmZUFP19fSFwwfcxeSge21ev1gmlpxqlhDMNAKpXiyJEjOHXqFA4fPowPPvgACxYswNmzZ+FVmLm0YcMGNG/enLcPqVRqdxuKgoJC5YieMoUIIYQQQgghhJRyDMPYPYULAKDTQaLRQOLl5XRQyBFVq1aFUqnE0aNHMWHCBKvb1qpVC3v37uUFh06dOgVfX19ER0cDMPzerVu3RuvWrfH6668jLi4OX3/9NWbPno3o6GjcuHEDI0aMKPbfi4uCQuWJjoJChBBCCCGEEEKIK3h6emLu3LmYM2cOFAoFWrdujbS0NPz777+CKWVTp07FqlWrMGPGDEyfPh2XL1/GG2+8gdmzZ0MikeDs2bM4evQounXrhrCwMJw9exZpaWmoWbMmAGDhwoV4/vnn4efnh549e0KlUuGPP/5Aeno6Zs+eXWy/IwWFyhNuppCF6WN6vR7QasHI6E9PCCGEEEIIIYRY89prr0Emk+H1119HSkoKIiMjMXnyZMF20dHROHjwIF5++WXUr18fQUFBGD9+PF599VUAgJ+fH06cOIFVq1YhMzMTcXFxWL58OXr27AkAmDBhAry8vLBs2TLMmTMH3t7eqFu3LmbNmlWsvx9FBsoTO6aP3Zn4HPIvX0Li4cOQODA/khBCCCGEEEIIqWgkEgkWLFiABQsWCJ4zL+HSvn17/Pbbb6L7qVmzJg4dOmT1vYYPH47hw4cXvbFFUHKT8UgJsB0UyvnlF2jTHiLnzJkSaA8hhBBCCCGEEEJKKwoKlSO8KKWNxceYYq5gTgghhBBCCCGEkNKNgkLlCTdRyNaS9JLiDwrpcnJwe9RoPN62rdjfixBCCCGEEEIIIY6hoFB5YqOmEDeTiJG69k+vSU8XPPZ4+2fI/f133F/yrkvfixBCCCGEEEIIIc6joFB5YqvQtE5n+rcLp489XLcOV1u2QvqXO3mPazMzXfYehBBCCCGEEEIIcS0KCpUn3Ewgkeljeq3W9LwLg0Jpq9cAAO4tXMh/P7XaZe9BCCGEEEIIIaRs03ETFYhTzFc+Kypakr5csXFQaDSmfzPFHw/UaygoRAghhBBCCCEVnUKhgEQiQUpKCkJDQ6FQKEQTGSzR6XQoKChAfn4+JBLKbdHr9UhLSwPDMJDL5U7ti4JC5YilSKHq2jV4JCbyMoWg0+LmwEFQ1quLiNdfL54GcYNQhBBCCCGEEEIqJIlEgoSEBKSmpiIlJcXh1+v1euTl5UGpVDoUTCrPGIZBTEwMpE7OAqKgUHnCCwqZvii5f/xhCApxgjTZx08g/59/kP/PPy4NChXcvg15dDQYmQz6AmGmkOrGTUiUnpBHRrrsPQkhhBBCCCGElG4KhQKVKlWCRqOBlpuwYAe1Wo0TJ06gXbt2TmfGlBdyudzpgBBAQaHyRWdp+lhhgIgTFCquej/Xu/eAb9euiPlgDS8IBRhWKLvRqxcAoOal/4rl/QkhhBBCCCGElE7G6U6OBnakUik0Gg08PT0pKORiFBQqo/R6PR68twyeNWvAv29fm9snz5zFfz0nYKPLz4fE09Nlbcs6ckTwHgBQcOuWy96DEEIIIYQQQgghzqEKTWVU/l9/4fGWLUiZMxd6YwV37vQxzjzLvL/+QtYPPyDrhx/Yx/RaU8DmcoOGyDx40OVtFGQjcSrNu6pSOiGEEEIIIYQQQoqGgkJlldSU5KV5+LDwX+KBloyvvxY8Zh6wuTv7xSI1Q6dSWXzOfPUxfqFrWoqQEEIIIYQQYj+9g3VoCCG2UVCojGKknD9d4TQtPTfQYqsiuwtqCmmzsnC5QUOLzwsyhbgncQdP6HqdDrrcXIdeQ4g1utxcXH+qN+69/Y67m0IIIYQQQmy499bbuNKqNdT3H7i7KYSUKxQUKqO406/0Gg10+fn8RCEb07P0GvGgjL6gwO6pXTm/nrL+Pmp+TSG9ljN9zMFMoaRnx+Fyo8Z0ESAuk3HgWxRcv4707dvd3RRCCCGEEGJB/qVLyP3zT6R/9hl0GRl4vHUrck6fhjo11eJrsn/5FU/2flWCrSSk7KJC02UVJxaTPGsWVBf/g7JJY87z1gM72vTHgsc06em43rkLvNu3Q8zKlY41QuxZs0LT4NQxcjRTKPfsWQBA1qHvETRmjEOvJUSUjtKPCSGEEEJKu5tP9+f9nH38OB5v2QLA8orGdyZMAAAo69WFR9WqxdtAQso4yhQqqzhBH9VFw8kw749zpqdt3PDmnDoteCxj337ocnOR9f0hkbfTI+/vv6HNzLS/iWrzmkJFzxQihBBCxOScOoWsY8fc3QxCCCElpODGDbu3NdVeJYRYQkGhMsvGFK8iFGHj1Skyk/PLr7g1aDBu9O7DaYLlNqQuXIj8f/9lf76/9D2kffiBU+0zvCWtWkYIIcRAr9Uiadx4JE+eAk16urubQwgpR7QZGbi/bBkKkpLc3ZQKrSh9f95rpFIXtoaQ8omCQmVVEWsGWSWxfNLMOvojAEDzgFPTx0obnny5k/fz4y1b2IwmgJ8ppMvLQ/bJk9AVFNhuI8WESDHIPf8nHm3a7LIMNm12NmXDEVICuBmpuqwsN7aEEFLePNq8BY83bcb1bt3d3ZSKrSgDwpzBZ0ZG1VIIsYWCQmWVzaCQxurzYqxlCjFyhcP7s4pzsk6Z/wruTHwO9+1ZBYoyhUgxuD18OB4sW4bMg987va+C27dxpUlTdi47IaT4cK91DI0GFxll4RIipM14wv5bffeu6d+pqZSZWJKKkinEvTZQUIgQmygoVFbZOkFqHQ8KcTOFzDuIjEIu0oSidyK5WRRZhww1jJ7s3Glpc+6bFvk9CbEl5aWXoElLc2of999bBkC8bhepmFRXryL1tdehTklxd1PKHV7tOgoKFUn2iRO42qYtsk+ccHdTikX2yV9wo28/5P39j7ubQsoYeXg4++/sX34FYJhSdq1jJ1xt2cpdzap4bPT9k8aNQ/LzM5Fx4ABuPjMABcnJvGsDI5NBV1CAhxs2uGUqoPruXVzr3h0pr75qyEq3Z2YEISWMgkJllK2ADOOpdHif3Ewh48lUr9cj9fU38HjTZpFGOPwWJlptEYNKrg8KabOykHv+T157dLm5Ln8fUjakLlpk9Xldbi7yL13iHy8qFXR5eQCA7KNHi7V9pPRTp6Yi/8oV9uebgwbjye7dSJ45y32NKqf0BZygkB1TNrOOHUP6F18UY4uKRq/X48HKVcg89EOJv/ed5yZB++gR7jw3qcTfuyTcmTgRqitXkDx1qrubQopB3oULyD75S7Hsm1uKQa9SATBkA7OPFbE+JnGQjfuFnFOnkXX4MFJenoP8ixeRtmIFf8aEVIrMAweQtnwFrnfrXmyZkep795C+ezd0hceK0YPly6G+nYSMPXvxYNkypO/Zg8eff46HH39cLO0gpCgoKFRW2TifyYKDHN8nN1Oo8ISmvn0bT3btstCGop9UC27fxtU2bfHw4/VFer363j2Xpe7eGjwEt4cPZzOWcs+dw+VGjXF/6Xsu2b+jMn84jDtTp0H75Ilb3r+iK7h2nfdz1o8/Iufsb+zPNwcOws2n++Ny4ya4NWw49BoNrrXvgMvNmjs0+lOQlIT7S5ZAfe+ey9pOXEeXl4cHK1ZCdfOm4Lns48dxe+QoiyOO1zp2ws2+/aC+fx8AoM/PBwDk/ye+bC4pOu5osF5n+5qUPHkK7i1aXOr+FjknT+LR+vW4O2uWy/ddcOcO1TgDoM3JcXcTSDG4NXQY7kycyJ5vXYm3kq/e8B1iPDzZh3TFeEzpVCrelLWyKvuXX5H5vZNT8x2839Dr9fwBAzBQ3zVl6ub/UzxZgzefGYB7r72Ohx9+xHvcvDRBwfUbuP/mW0hbtRoFd+4US1sIcRQFhcos6yfIB8ved3yXEsa098KbW/NoN8DNUip6UOjBipXQPnqEtFWrRJ9XXbuGjP37DSd27sVAr4f2yRNc69DR7tTd/CtXkH/5isXnCwpv+owjtA/eXw7AUBzbHe7OnInsn37Cw4/XQ3XzJm4/+yyyfvoJmvR0ZHz7HXSFN5juoMvPR85vvxWpZlVZwXh4sP8uSL6L5OkzkDRmDAAg9Y2F7DKo+txc5P35Jy7VqWsI4KnVKHCgA5c09lk83vYpkqdOc2n7iWtcbtgIjz75BDd69hI8d2fSZOT+8QdS5r8ieI57vlJduWr+pMvbaS9dbi7S1nxg9VxYFunVnECszv5R++K4gXRGcbXnyVdf43rXbkh9ZUGx7N/dtNnZyDn7m11Br6LWFdFmZfGnKZJSg3u+1RTHd4ibKaQtDApx+srFGRS6PXo0rnXuUqLTHvV6vcXvUtZPP+PeW2879F3Q6/W4M2EC7r4wu8gDYHqdDpr0Jw69puD6DWR8s5/9WfvkCR6uXcv+fPeF2UVqiy3ax48BANm/mDLX8i9fFmwn8fExvSYzE4BhQPhGnz68LGNCShIFhcqq4ri50ArTZMXS8V3ROcr/+2/hg5x6EDd690HK3HnI+vFHXrsevL8ceZyl7sU8XP8Jm+Wjy8vDzb79cLNfP8HqZjqVCprCEzgASDwLgwEMA6tKKF1Ym5WJ5MlTkHv6DO6//Q7uTHwOKS+9xAatHKXX6/F4+2fI/f33Irfp7ksvIWn0GKR98GGR91FaWOr4qC5fxtW27XB3zhxkHzvG295m3SsHRuON9WXyL160+zWkdNE+eiR4TF84jbDwJ7MnbZ+3tZmZSJ7xPDKPHLG4jeLePaQteReahw/tbSoerFyFh2vX4ma/fna/pizgZQo5cm4ubfXpiqk9Dz8yjFhn7NtXLPt3t9ujRyNpzBikf/mlzW2LEhTSPHqEK02b4eaQIUVpHilu3O98MXyHuOcUzf37uP/uUqium7KJizMolP/X/wAAT/buKbb3MDL+nslTp+F69x7sdHiu5KlTkf7ZZ3iyd6/d++V+Psbs97wLF6AUycDNv3IFSePGIe/CBd7jV9u2w7X27e1+TwBQXbmCtOUr2J+zjx/nPa9OTsajTZvsW/W4CBiJ6fZa80BYp1Li7W36oXCQ9e7MmVBdvYaUF1+yuF+xa74uP1+05IUuPx8pc+ci84fDjjS9zFPdvMkea482b8GtESOhLVyZVJefj7x//rV7+qD6/n23DsSXNAoKlVXFcfFTm7I/jBlCYjfO+rw85F++gkdidYacwD2JGuX//Y+go39nvGlVJ/Pn9Dod0lauxOMtW1CQlAR1qmlkImPvXt70nmudu+Bqq9am91cUBoUkloNCT7ZvR+IbC5H/11+iz+s1GiSNn4AHK1Za3Ie9JB6ebFqp+u5dNt0189tvRbfXqVR4sGIlcs//Kfp8zi+/4P7bb+P2qNFFblP2j4Z6OY+3by/yPkqL+2++ZfE5TVoaMr85gPtvmbaxZ2qYpZvSguTkYut8EDcSOWdxO8G5f5zjTzGzcd7WqVR4uHYdso4cwd0Zz1vcrtKaD5CxY4doppIl3GBwuZqyyM1adGSKFDfDID0dqa+9jjwL5/USYWPqm+rqVdweOYo3lRUwnHPUDx5YfqHM8eLbOWd/Q8GtWw6/zh1UFw3TADP3f2Nz26KsTpd97DjvfYhr6NVqZBz4FurUVOf2U8xBIe6iLY+3bcPjrVtxd9YL4u/vApr0dMH5ubhrXGYfP47LTZoi49vvkP3zz1DfuYOsoz9Z3N6RKW26jAz233qNFrqCAtwdNRqxH6+HNiMT999bxtaDujN+AnJOncatocPY1xTcuiU6+OKojP37BY89WPY+L3DkUtxzjchAMyM3Ld6jvnuXF3hQXb0qGoh4tHkLrrZpiztTp0FlzFjX63G9W3dcbtZc8JrHW7ciY/83uDtzpt3NLrh9G1k//lgqVqPUFxQg719DACf711+RNGmSzfOF6uZN3OjZC9e6dAUAPHjvPeSdO4f7b7+DzEM/4O7MWbg1cCAyvzto+/31elzr3AWXGzQsX30mKygoVFYVy4iI6eLH3gCLdFR1+Src7NcPqkuXXNsAkRssAFYzc8ynMXFv3PUaDa8uz71Fi5H2kSl9VGsWcWc8DfPEGcby1+Lhe8sgUavxYPGbos/n/Porcn79FY8++cTiPuzFeHqK/50t/O0fb9mKR598gtvDh4u8RI+7s190uk222mBJxrff4dFm29PxHq7/BI8/+7yoreLRZmS4dJUJvchUSuGbmgUp9Xrknv8T17t0xa2hQ13WFmv0ej0b1H20ZSsef/qpYBvVtWuiI4Hlwd05c3Br6DCnpzhKQ0PYfxsDevqCAmQe5oy6iQSQueecR+vX43q37qYnrXxv0j78CJcbNUbWz5Y74+zbFh5nYkEMS5057o2FxloQoYzhZa6aBYW0GRm4NWIkHn/+OdT37uFa126i295/62082b0bt4aUzHdUlN56QOvO5CnI/eMPdiqrUfL0GbjWrr3FwQBGakd2DOfam3/pEpLGjMH1Hj2hV6vtujnQZucg45tv2NFYe+lyc5Fx4AC0nBvHomIUCtvbyPmrqOr1eqiuX7d6rijOTJCKLGP/fqS8/DKuP9Xbqf1wBzOL40aWW2ha/HnxY0d97x4KkpMdfr+rLVvhWoeOvO9EcQaFtNnZuDN9BvR5eUh5yZShon1kOQvV1mfC23/h1CjA8F3Sc36XjC+/xOPNm3Fn4kQA4K38avzsXDV1zlJgKX33bof3dX/ZMqTMncc73jIPHcKNPn3Yn3mD3CLjzHqVKYBzd/aLuN69B+/5lHnzBa958J5hBkT2Tz/hRq+nDA9qNIbruUbDy2ADgIIkU62iu7Nn26yjl3nwIK5374Hk6TOQU7jSHq/NGg0e79gB1bVrVvfjKndffAm3BgxE+qefGgKGx08g9bXX2ed1ubnIPHyYd47OKQww6rKzeatpZuzbh7uzZrEZY2L9YnO67Gx20EkaEOCKX6nUo6BQGVUsUVzOxU2vUkGvViPnV+GKDtyTmUtZGMWz1mHjdggAU0FXwDAqqE1/zHv+0fr1FjM+JJ4eyPvrL7umV5l3LlPmzceNp/tDm5Vt87X2klgKCnFoHj/G9V5P4eH6T3gn6uQZz+PB6tXsz9nHj0NnpcOuy8tz7Jhy8PhLeeklPHjvPaiuXrW4TUFyMtJWrsT9t96ya/TtwfLlVlcKu9axE653616kjpkYayNnRuadpatt2rIr3qgu/ofc334D4+LaFCnz5uP2mLHsZ5YyZy6uNG2G/EuX8GDpUtx/ZwkvAJT966+40bsPbvTuUy6Lz2Z+cwB5Fy4g70/xm2RzBcnJSJr4HDK+/Y73uNTLlN6tTUuDXq3GnRkzcPd506ibeQBZdf06bvTpa/X97kyeItrJf/jhh4BWC/Vt+wOZ5lN51ffu4WrbdrzvvvHGnvv9t3ROtXUO0Ga79wZZX1hTjveY1nQMmx/P6bt2GUYJ33wLyTNnQs0p6Mmv/SRewyH/8hXB9UJ9/0Gx1Hyw9V20NDqf/fPPAID0HTtEn7cnO4Y7rYr7vbnSshXuPm/KWHuyZw+e7P1K8PrUV15Bypy5uPuiYwMP999dipSX57hkVT7za7IoOT9A9mTnTtx4qjfuWRjkAQBdbvEd85q0NKS8+mqJ1owpLYwBbb2zAQ+N/dfTvH/+xc2Bg5Bz5qzdr+EOlorS6ZB55Iih1mLhdzj9yy9xrUNHXO/S1aGgIu+cVJgJAtgXmHy4YYPgGmZN/sWLyPz+e1xp0hQQ6ZMY+zJ6nU54XXCgdtujDRvYfyeNGcPLmNY8sFwD6nphpofNz99J5ud3fUEB7i95lz3PiV0rH2/ajIz9+5H/zz+GAYeUFNyd9QJUVznBEhvnXfOsHvN6WFmHDiH9yy9tXpO57b81YCAvCKfPN/X7Mg9+b3XQI/vXX3kDx/kiZTrSd+3C/cVv4kbvPrj3zjvQpKcj/cudvPd0pazCKfT3l7zLPsbNFHqwaDHuPj+TlzHN7VtZW03TnuuitnAxI0apNNyPVQAUFCqriiEmxD356QsKkPbBh0hbtVqwnS6veIJCYtPHwDBWTzjZx44ZosXffw9dTg50KtMJMn3XLmQdFtblSLJwoii4nSR60tTl5eH22Gd50+UYD/6oZMa+fVBdusSvQVOEwB33Jo9Rip+EtBkZbIfh0fpPUHDjBtJW8qerZR05gkfrTEtdWku/LUhOxpVWrZG64FX2MbEC47nnz5vamZ9vd0CBVwjy0WOL23HbqLcxh1ev0eDRho148sWXvJUbdCoVO1/YeHHIPWt/B9Aae7K/eEVvYfiduDexKeMnIFzkpspeer0eKXPn8Wo6Zezbh9yzZ03TCw8cgL6gAI+3bGW3yTl7lu2EZHy9D4DhJvNSrdpIM1sl48nX++yqzyHWNmezczSPHyN5xvPIPnmySK/nHpN6tdowMmnjOE2eNh05J08i5aWX2MyyjP37ecsOqx88QMr8V5Bz/AT/xWbnrHtWpiQaZR87ZlfWnD3MP++H6z6G9uFD9ruvy83F1Q4dkTRuHC+LwzyYDhg+u9sjRuLOpMmCc5f6/gP8V6MmrjRpgid21qZ5+PHHuP3ss8g8dMhl2RYpL8/BlRYt+TUnuDcNhYHR+0vexfWevXjva6zPYaRXFeDmoMG49+Zb0HOydIwjx2lr1uBmv354+MkG3uuutW9vWFkuJQWuZC1obw+JtzfyL19hM4ayT5yA6sZNwI46OtygELdTrcvORtaRHwEYAhipr76G1AULBNeHrMLsuZwTjn1vn3z9NQAg98wZh14nhlEooFercWvYcIvTKhkZP3CUtnqNoR2WVlhF4WixFbl//snL2HPkun/vzbeQsWcvbg0aZHGbx9u2FVtNEHvaqsvN5V/DHz5E1KefIofT1ykKaVCwU68HDO1/uG4d9wEAhYXBtVroVCpkHjzIrlSbNG4c8v/5B0ljx9r/JjYGqFSXL+PujOeRNHoMbo8ejZzTp3FvoWmwilu3siApCXemTRfUzLH1XrYyhVTXryNt+QqkvPSSfZl9mZm4+cwAq8WW9TottNnZuN6lK5LGjeM/50CmkPmqWypO0WWGs+JxrqVBHG0xD1yZXUOzjh3D423bkLpgAdI++ghXmjXnLc7A/XzvL3kX9998C7fHjBXsVp+Xh+RZLyDju++gVwkHosUeM3dv4SJk//STxT6MXq8XDAxl7DNNkzO/VzMPgGnS09nfJ+fXU7znJCL3H9zjNv3T7UieOg33Fi5Eypy5pvfMzUXGd9/hSWE/0xJNerrV49riccz5LLIPGqaAGa8/qmvX8GizfWVNdNlZyPv3X9HVZY2MfXdpYIBd+ywPKChUVhVzmqxOpbJYVLfYMoUsTB8TK9JmlPLSS0iaMBF3X5iNxzt2QF9g6qwao/nmLHVAsw6Ld7wy9n+D3DNn8GDZMvYxtv4Q+HPKtZmc+dNWMkJU164hbc0aaLOyoHn4EJk/HIZeo+HdxEg8LEemjRF9ewugWRtFzfh6H/R5ecj46ivo9XpkHDiAy/Ub4MkefnHD28NH8H5OGvusXe/NKwRbeAHWFRQgecYM3lQx7gXC8Le0fNHUixVFh6FI4q2BA/FklyklWGw/jiwdb2TPaIg9+/X780+oHFwOW3XjJh5u2ICcX35Fxv79bPFY80AuF6Mw/c2TJ08xXbjNOhgPPzQFmPQ6HVLnz8e9hYusFsDW63TI+/sf3gU1acxYXO/1FNI++gjXe/eGRiQQmfv777g7+0UUJCcj5dVXkXXsGPRaLZ7s24eC5GTcf/ddZB05gjsTn+O/n14P1Y2b7LGU/99/yDwonBPO/Qw0jx7jarv2SHrW1KHN+/dfXOvSlfdabif15sBBhpvKufPMPqOPRGt5qS5f5v2eajuXls27cAH3Fr+JtLVrnVuO1kbWWc7Zs9A+eoTc02f4nV+tRjDVR52UhLzz5w3p1Wo172bmwXLTapapImntgOF34t4cp61ajdzTZ3B31gtIefVV0dc4yvg3eLRpE/sYP1PIsFrl423bUHDzJlsPRkz2Tz8h/++/kf7557wbj3uvvQ5dTg4erjXcbHLrp/FG8s1S9R2RtnatIOPGfABGr9MhZe48uzNJJD7euNmvH24PH46sH3/Enecm4UavXhZHRAtu3oQ6JQUFyXd55948s+AZAOT+8QcvU8naee4RJxhtjV6nEx8IMpN98qTod90cI5cj948/kPfnn8goDDYJtpHJoNfr2WKt9mQXcZex12u1SP/ySySNG4eCW7fweNs23B42HLeGDIUuNxc3BwxE0pix7E2cJi3NatarrbpNqps3cX/Ju7g7cyZyzpxx6bQNbXYOrnfpipQFllelK7h9G5cbNcalmrVwuXkL5P39N1ImT4HPvxeRysmYtCX3/J+43qMnL9gvUSrZfxe13l7e+fN4vM00DUSv1kB97x6uNG2G26NGI23FStyd/SLuTHzOUKelCBkNehtBCdV1U0ZP3h/nkGe+1DknmzR52jRkHz1qmN4s0ofnfa+4gbh795H24UcWb2C5fSx7gsvcWpuWpC1fgUcbN0KdkoLc02eQ/sUXpvfT8qfs5Z7/k3e9sIY3DV9q+mxuDxMpe6DRQO9AVpKz9Go1sg4dYn9++MGHhu91v36m6yWn/5RXOFAqdt3Pv3gRWYcOIeXFl3Bv8WLB85k/HBI8JubewkW40qQpMr4TZoFda9deUCKBO5isy7dcIuDRxo242rIVHrz7LrTZ2bxBMABgPJXCF5mVEzFmlRoHwx9t3YrLjRoj5cWXkDp/viCr10iblWWYJtmps+jz+Rcv4mrrNuINtzLId6N3H7u/46qr13BrwEDR1WXZdhYGk2UBgXbtszygoFCZVRxBIc7Nu6rAYvpjcVViN3YQzS+WmoeWg0KA6cT8ZNdumxkmRSGWvsrNFOJOzZFwTqT6/HxkHjkiOmXqRu8+eLh2HdLWfIDrvZ7C3Zkz8Xj7Z/wRdSsd5oKkJOSeP8/7m1kqQA0IO7/ajAz2pkYaZDrh3XluElJengMASH31NeRfvoK7s2cbRpzN5P72m2AaRUFSkuH3KPw76HJykPmNqQBo+mef4eHHHyP76FFkHfmRV8iZewFJW76CzWDJPnkSV9t34M0PFltxJOvHH5Hzq2EeNHe+sGB05PFj3HvT8nQBS+zpbNlVdwjAncH8lWwebdqEW8OGI/PwYagfPMCNp/vzpjTc6NULactXsHPvASD5hRd4AQnBzYfZ99cY9NSL1C7R5efj3ptvIZlT3FhsioxercalRo1xqVZt3Bo0CDd69oLqxg3cmTIVub/9BnVSEh5+8CEKrl1H+o4vBK+/PWq0Yd56l67I2LMXyZOnIH3HF0idNx83+vS1OHUq88AB3OjVCymFy2rf7P8M7s5+kZe9piso4NXvyT52DLqcHOSePcueU1LmzIU6OZkNqpoHrnSZmaLTzozHlZibzwxg/21vAc6cX35B+o4deLjmA0EAikuv09kdwNSkp/MC+ZpHjyyupJg0bjyuNG2GlFcWIPvECdwaMZJ3w3GpXn1cbdUaj7ZuBQCLNV90+fl4/NnnUN24iVtDh+HWkKHQFxRAa5ZdkfW9qQNsaQQw8+BBZH5vGFXWPH6MB6tWIf/iRaStXSsopJx/5QoKkpPx4P33ob7HKTyp0/IKm1qre8cLVpvdeNzmjIx7NWpk2o57rleKdJrtoLp+HQ/XfIDUBQuQc+YsrvfuLZiynHPqFLKPH0fG/v3I2LNXMFLPtodzbHCzYDIP/WB6XOQ6LsnNRVLffrjWqTOud+nCe05scOT2yFG8wJG1Y/LB0qXI+/tvPNmzxxD4PWpYnECbnY2sn3+GLicHSROfw6VatXnny8wjR5Bz5gzSd+5igyV6vR53Jj6Hu7NfhFpkuXFuO7KOHIHqmilQl/7FF4JAPiOX4+G6dbjapi0yDx4UrUOkKygwZGMWLl/NvSbrNRrcW7gIOadO43qPnrxpDSnzX0H+v/8i97ffoLp6DbnnzhlWseSsJJT3z7/QZucgZe48PNq0mXcMmX9nAP4xmjT2Wdzo3UewjTYrC9ef6o0Hyx1blTTzu++gvnsXGXu/gl6rRUGy8NzFPYfrMjJwa9BgFBiD6Jzv8ZN9+3hBg4z9+5Hy6qsouH0bOpUKydOmoeDWLdyZ+Bxyz59H5vff8zIRMvbtw7VOnS3WxTLSpKfj1tBhuDN9OvIvXhRMudGr1cj6wXDs550/j4wDBwAA+f/8g7ucbAZ2f48eCbIY9Xo91Pfv49GmTYZzqI3pS+aDfwWcIJHhedMxyp1edKV5Czxc/wnU903ntuTp09l/cwfhNPfv4+GHH+L2aPFFQrjfca2V4EzWzz/j/tL3oM+zb8reo4/Xs/++t8gU2Hjy5U72O5rz6yncHj4c13v0FN2Hb9euvJ+5A1m26p3pVarizxRC4TRhvR5pa9YIMpuMrnXoaGh7Eabca0SKFGtS7CuwrklLgy43V3RFMk1aGu6/s4T3WN4f59jMOL3IrA7V1atIW7OGXcX48bZPcaVJU2QXnqeNxDKFrE0b1KvVePDuUv7mhdfL7BMncLVde6TMnQdtdjZS5hsGlrRPnoheS1Lmv2LxOHa2ML0Y4xTJ3PN/QpudDe2TJ8i7cIH9HCtKPSEAcHx9TlI6FEOm0EPOlBR9gcpiUOLe62+4/L0Bwwni0datgoh1gZ0jsuo7d3Dv7Xfs2/b+A9sbAXiwahWkvn6Cx3XZOWzqJrdTwQ2+3H/vPWTsMSzdWfOSKTOE23lL54xCP1i6lHdi5gZMzOlzcwWZO6LbabVgpFJBUOjmgIFQJycjfvdu3oU5x2zaTtKYMYYT5D/C+cUAcLNvP9S89B876nu9R09Ap4NelY/gCROQMm8+Oy8YMNyoZ5ulnef99ReU9euzJ2CjR598grDZLyBl3nxoHz3Cnecmoeal/wwBLc6IqfHCkzx9hun3tnDTotfpeCvOOcJa5hfbliKOeD5YZsjEuMsJSKguXYJ3m9YouHFD9DVZ3x+Cd/PmnPZp+G0UCQjo8vN5N+hGOadOGTImuNsWHtfa7BxAq0HSxOcMI99mKb9swUMzjNmqR5ZSoO+//bbh+bw8i9PPjFlOmQcOIHrZe+zjd2e/CN8uXaB5+BDKunV4BZS5U2JujxgJ325dBecSawEZe2nu38fDDRuQd6FoK1flcQJb5pLGPouCO3cQPHYMci9cQODQYVA0aijYLv/yFcFS8/cWLkSBjSBVxldfIeMrQ8bKXZEaAg/eXQr/vn3BiFXKBJBx4IDgPPX48x3waddWdHtdfj5uPjMAyrp1ELXU1IHUqVRsoE5RpQpu9jX8LsabktzTZxC33RToVd9OQtL48YIg4pPduxH8HD/LzJIs7nnIbASUO9XMOCiQdewYW8QSAJ589TW8mjQR7Fev0eDxp9uhrFcXsvBwZB0+DM86dZH1wyGEzpzJS+k3TmO5M206bx9J48ZDFhVpap5IQPru7Nm8TCjeoA73eyQyfUyW4XjGBC9jhnOeEcteeLDsfeT+ZlglLWPPXlT+9gBSFixA/l//gzQkRLDIAwDBans1L/3HG+TRPnkCeXg4bxuN2Ui08VwCGG5iM787iEqc4yb/v//YabYp8+bzF6bQ6wG9HreHDmOzJL1btETmNwc4v7flAIExGAEAN/v1YwNOhsyDlcg5fZqXtWguedp0xG3byn9QpJ93f9kyaNLSEPXuu2AkEjzZtQsF16/j0fXrCBOp6WTsA/Da+vPPuPeGqR93/92lSN++HdGrV8O3W1dArcbdF1/iXbvNedStYwgUymRs9qBvt26QBQez59WMPXvhUaMGb7qhsd/iUbUq+5ixT3ln0iRU/52/up5R/n//IWnss2yAOvvHo4h6/33eNvqCAv7xzs3sM8vO1aSl4WrbdvCoUQOV9xkyy3QFBUiePBk5p04DMBzH3m3Fz2VG6Z99xvvZPPNT++gRtEFBbNaBkS4zE2krV+LR5s2ofvYM9Dod+76WaNP43xtjgJ07IJQ8YwYiFi6EV+PGgtcnTzHUN3RF4eo706ej8tdf484Ew2rAusxM6AsKhIFWs2OPl80rch7g0hUUlEim0M1+/RA0ZgzSrU0jzcnB9V5PIeGrvcXeHkeYT0XM2L8feRcuwLdXT9FpirZqHho9+fpr+LRrh8c7dsC/b18oYmKgt7JC5qW69QSPXevYCXE7drC1fTL27wfj6cmuYgwYBkkkXl5QxMWxj1mrI6UvKMC1uvUQ3KkT73FnVvfVFxQg68gRpLw8Bx5Vq0Lz+DG0jx7Bq2lTAIA0sOJkClFQqKwq5uUC9QUFYCyMMhfnUrXmkeZH69db2FKcvbUJrrVvb9d23JESrvxz55A8ZSpyTp3iXeQyOSmexoAQYOiEycPDeVkFYnL/+MOudtlLr9FAm54uLEhbWHzZWi0DwJS9o7ayitfjbdvw8JMN8O/9FDuKYuxUW+tUGt0aMhRR778vmmVhPsXgeu/ekHgq2Y49ANwaPETQceOmzaZ9+BGCxoyBLicHybMtz6F3hSwX135InjrN6vPc7Kqsoz9C4u1ldXtu3SiudJEV39JWroJnzVq4PWqUzboKYiT+/ryfjYEva7jFDZPGjYNn/frQmRU3zuZk7Wju3WM75dy0bwBQ3TLdrOadPy8afDHeuDrL2WVtLQXMjO0zZiRkfX8IVc7xzxE5Z86ITuU01oKxuw0WsizvLX7TYsbRQ85qjkYPli6FR+UEweO3Ro5EwICBKLhxAwU3biByyRJTdignA8f8GgBAtPi/WFbZk917EDhsmOBxUZxzotWaa7duI333btzjrHoCGAJqobNmAnogdf48BA4fDt8uXfBowwa2Vo25rJ+PIXT6dMHjYgFnayPJ17v3EAyecNPmud8FbkDg0Zat8B0xHEwRirdygzY5Z87gyZc7ETprJq9+ipH594qb4SIWEBKTf/kKLzPy7sxZqHLoe/aaoHn4EBl7rd+g5f7xBxtgNLw5Z9qx2U2E9vFjXO/RkxeAE6zk6UBRY+7+8y9fxt3CDFyLbT17FpcaNESlTRvBKBRQVKoEfYHw/R4X1jYMHDQIXk2bQpcrPkVEk56OzO8OIm3lSgSOGIGw2aZl1I3BASPj4NTDdetQcPs20lbYPp+p/vkXl5s24w1MaNPTIQvm1wpSXboEaXAwtGaBCLEMal1WFnT5+WA8PJDx9T54JFZBwa1beLjuYxSIBB+5q2UBhqLrTzjHhKUVNhmFAmlrPmDbp3n8GNk//YTUV18TbGs+UGaLeV/p9shRAMNAUaWy6PbGzEbz38UWvUaDm4MGQxYSglDOkuOqq9dwe8RIBAwbCm36E/h26YLHn36KyDc5mT5mpQGKouDadd7S8QBwa/gIxO/ehftLlkARF4egESME5zbu8ZptY1qovqAA+nz7sq+d9XjbNpv119RJSYLMnNKo4PZtXk3Rosg9fQbJs15A7pkzePTxesijo0W/g7aYn0PNy5Lc7P8MAMOAeszH69hAjC3BP/EXfhHLxrKXXqVipxxzz0vGfgcFhUrY2rVrsWzZMqSmpqJ27dpYtWoV2lqJzh8/fhyzZ8/Gv//+i6ioKMyZMweTJ08uwRa7X7GsPsahU6nsWgGqIjPPeLHGvBNWUtTJybjh5JKvthhvWLlz+7UOjkRb6hCprl2DIiGBXaq04Jp41ph5x407oqbLyoJeo0HWTz8LCwW7mLUpfMWBW4fkyZc78eRL0wVXrJBhpsi8dMCQKWROl50tvClyALeIZPbJk3i8xbHiyjmnTouOnN4ZP8Gu15sXFjZ3b/HiItWWKg6OjNxeb8zPTrG3tldR5f/7LzwSE3mPJc96Acq6dS12xO5MEl6P8/44x1tyOOuHH6DLV0ERFwd5dDT7uKUCzmJTWMWoi9A5tPb5q5OSBAEho2vt2sOnY0f2WI3fuwePt38mui0AaFJTkSpSw0Vv4ebVEvOAEABoHqeLbMkP0DxYuhTy6tUhsXOaqyXGzJDiPPbMM98Kbt1Czm+/IWn0GIf2Y23FS/P925oibG+Gsbmb/Z62azt9fj5ujxgJAJBFRVqtK5h7/k9AIuFlhWV8+x2UDRpA8+AB79z96JNPIFF6QhocjAArA0GKhHi7AkKGxuoBrZZ37bi3+E3EfbpNsKm1oKu5Ky1aInDIEMNNuoOemC0vbinQrS8o4G1b1OxhMdxznOkN9Rb7LkaWpi2Z02ZkQOrvj3tvvQXVf/9BBSBkyhTBdk++MCwWYQwQ845BF/XtzVeoyv/nH1yqWcv0gE4vWHyDN93XBr1KZbUujsvZsVCGMbPWJomkSFPNShPjILu+oKBIASFH6NVq3Bk/AUFjxKdI2pJiI+huTeYPP1jN0qtI08cYfXFHF2zYuXMnRo0ahbVr16J169ZYv349Nm7ciIsXL6JSpUqC7W/evIk6depg4sSJmDRpEn799VdMnToVX3zxBQYMsJ6FYZSZmQl/f39kZGTAz084NagsyP71V7tvjooiZOpUPFwrHAUmZQzDFHtWWVmhiI8v1iy30sa3e3felIaSFjp7NoInTsCTPXss3lQTg8SfjlosukiIPZSNGlmdimgU8f77OPe/vxD96Xab21Yk8rhKFmualWby2Fi7C9wDAOPhYbH2nSIhwembv9hP1ltdCpoI1fj7f6LTb8TE790DZe3a+K9GTfax4EmTHM6qLyleLVoUeXXByge+QcY33+DRho0ubhUpzTyqJvLqbxU3xtPTaj3asDlzEDyueAffipMjMQ+3B4WaN2+ORo0aYR1nWcmaNWvi6aefxpIlwjS9uXPn4ptvvsF/nPnBkydPxl9//YXTp63PxzUqF0GhX35l5/IWB1lEhFPpeIQQQuwTNGY0L9OOkOLiN3gQrgCI2LXb5raEkOIXu+ETwYqbloS9/BIChgzBlSb2TbMp82hgs8KRBgc7lF3oLEWVKlZr1wZPGI8wB6d3liaOxDzcOn2soKAA586dw7x5/GKf3bp1wymR6QwAcPr0aXTr1o33WPfu3bFp0yao1WrIRZYYValUUHFXuSice69Wq6G2o3hsaaRxYG57kfZfTgNCisREFLhwWVdCyjJZZCQ0xbCaA3EMBYRIScnctRsR7m4EIYRlb0AIMNTms6c+X7lBAaEKpyQDQoDtxYyUnTqV2VgBAIfa7tag0MOHD6HVahFutqJEeHg47lkISty7d090e41Gg4cPHyIyMlLwmiVLlmDRImExxMOHD8PLy3ph1tLK6/JlxLi7ESVI7e8PuYVlkR2RoVKhaAsJO+9JyxYIOF20NFpCisOjqEj4l7OgkFaphNTBGi1lRUFQEBRWlhwmpLzJj46Gp41V9AghhJDi8NOdO4ADU3RLm1wHalaWikLT5qtc6fV6iytfWdpe7HGj+fPnYzZn1aHMzEzExsaiW7duZXb6WI6vL1I3O1a4tSzzjY9H/l9FW/KZy1+hQHGXlg0YPx5PNm3iPRa7dw/ig4Jxq2NHp/fvN2gQMnc7n/oftWkjUlxYlyp682bI4yrhVucuTu2H8fKC/6CBeOJk9oRHrVrQPHwI7YOiFQctaVX+9xeu16tv17aKGjVQcOmS0+9ZqWo1ZJyzXYdETPi7S3C/sOCsqwTNfB5BEyZAdfky0jdtQu7pM4jdvQu3u3az/eJCythYFFy54tJ2lRYhHdoj86uvS/Q9A8aNw5PNm53ej//Ikcj4zHIR5tLKu3Nn5Bw9antDO0j8/dnVhooiYsVy3JstXHa8pPmPGI6Mz3eUyHsF16qFnDIUFAqZNxcPRVbQKy98hw1FVmERY1fw6dYN2YftX7VTHh8H9S1hofWyyG/AM8jca2fhYuI2rrgGuvI6Uh541KsH1f+sLwZSGnjUrIlevXq5uxlOycy0f+Efie1Nik9ISAikUqkgK+jBgweCbCCjiIgI0e1lMhmCzZbCNPLw8ICfnx/vPwCQy+Vl9j8ZZ5nZikCXne3Q9nE7xDus1oqJWSINDETEm4vBKBR2bR/5snDuqVflylAoLa8k4gi5WSV832723zBzeQQHo9LWrezPlbZtQzwn2CSLjESVH8WXtQ4aN07wmF+rllBGRyNcZHUdR1T79Rf4d+8h3H+vng7tJ/6z7fBp2dKptpQkhUKBsJdftvi8Dyeg6N/dwt9cJDDu21P4WRpJnciUDOxdtFXt4nfvYv8d9tKL8KxnKLAZPGkSwqdMgVwuh0+dOohduRLVTv0Kr9hYh/YvkckgtXAtKOskHh7F/h7RH6xB8HOm6QzeDRuIbif19wcAMEpT7mX06tUInz9PsG3QuHGImP0CEo/+CI+qVe1uS/grr9i9rSI+HnDxdbHS5k3w69jB/jZUqWL1eZmTq5jIPF1zDTHnUa2aQ9tLYHnQzhkh06fDo2ZN3mPejRsVy3sVl9CxY53eh7JBA1Q++B2q/3UBiT+bll4OGDTQ4mu827dD9f/9hSo/HLK4TQRnWXJHcJdkDholXB1I4u0tfJGN5b2NPOKEC8pY4tutG6p8b98qXfYIGDwY0tAQeNSqicDRo1y2X6PIt960+rxnZfFl6kuLyt8ecHcTSoXIOZb7ZfaykudQ6hmv9a7i3b4d/Hvw+6Wi55BSQKJUuv1+3xX/2f37FuNnaZNCoUDjxo1x5MgR3uNHjhxBq1atRF/TsmVLwfaHDx9GkyZNHPrFy7riqg8uCw0tlv06S/vkiUPbezVqKPq4rgjTSipt3YLAQYPA2NnJAYCYDz+AX98+qHr6FKr9dhYSpRISf3/49uwBv169UOO/i6i0bRu8WxdhKVQJ/2srCwuDV1Nh0UGP6tWt78bTE94tmqPqr7+g6ulT8G7eDMq6ddjnPatXhyImWvS15p9F7CemlS/kFl5jL4lSCUB4fMujxSdMBk8SrnQSsXAhJF5eCJ35PAKGDLEabClV9JaXMA1fsADhr8xHwv79YBTiwQG5yPTZ7J9+tvx+TiyZan4MRLxhWmHMGDRUNmggeJ08KgqBw4fDo1o1BI4YgYRdO1Hz0n8Ie2GW8D0kti9RgiVMZTLBEurlglQKxgXXuLgdOwRBXWWTxpBXqoTw+fPg17Urgp4dyz4n4QTDue9fadtW+A94BlW+P4hqv51Fwjf74de9G4LGmC0ZLpUifM7LkHh5QR4djcoHvrGrndXPn0PQ6FHwatmC97giLk50e4+qVRHz0Yd27RsAqv3+G0JmTLf4vHfbtvBu1QpakcweRqlExJuLkXjiOOdBBpUPfAP/p58GAOHnAEDi68vb3lGMTIZKmzfBt1s3BAwe7PDrLQmbw1/O16t5c6sBNnsGIrjBQnsFjx8HeYSp4lH4K/MRNGKEcDuRcz6XZ+3aqHLY8ZUXvVq2gP+AZxx+nZFvV0OWbPSqlaLPV/7+oPj7NmnC+zlw1Eh4VK4MiYcH5JGRiHjjdQSNHYuIxYtR/fw5eNSoAQCI2/E5FIlVII+NRczq1ZAoFJDH8K+TQePHodqZ06h56T8EDhqEan/8YfU76NNZuAqiPCYGicePo9pvZyGPjUHSlMmm/Y8ZjSpHhJk+lT7hr4bl37+/6PtJAwJFHxcTPO5ZMAyDqPcsZ2LJo6KQsO9ryCJsV87yqFEd1U6eROWvvoJE6ZpSEjX+9xdi1n6EqPeWImDgQFT743f4tG+PMJHBQomPL+/nsJcsZwH69eqF6DWrXdJGe0mK8B0W49Opk0v2U1Kq/f6b4LGQadPsfn3UsmXw7dYN3u3bsY/lnjnrkraVtEpbt6DSdtfWPIxctAiBI0fAu5Vp0Fbib5q1Y+8AfElgPEpPW0qCW4NCADB79mxs3LgRmzdvxn///YcXXngBSUlJmDzZcNGZP38+Ro82dfonT56M27dvY/bs2fjvv/+wefNmbNq0CS+V4crgRVIMQaGE/fuK3NG0NULqLEeDQpaYd5jswd6Ycm6IJDamHfp26YLo996DLDAQ0sJtGYZBzMqViF6xHAzDwLt5M0Dq4FdQKoVgkFbC8IJdstBQhL7wgs3Iu6Qw+i8LDoYsUKRjZjzGRG7M9VoNqhw5jJiP16Hmpf/g08508VM48hlbuukXOb6lwUHiuzD7PStt24bAoUMAGDqIkYsWInD4MPvb5EbmN/0+HTqw/5Z4KBA0ejQ8q1eDXi0+CVKXkyN4zHz5YW7GkbJhQ/h06GDzJgswLJtrZH4TCQA+nTqjyqHvEb93D8LnvIwaF/9F/JdfQM4ZCfZu3RrSoCBEvP4aKn+z3yWdTu82bXg/M1Kp4CartAqZOoX9N/fcFPSscPnTxCOHix4U4rzOq1FDBI3lByy8mzVD4uEf2EAG9+/CHYAImzsXPh06IGbdWnjWqIGot9+GPCICUj8/eFrINqnyg+M354ApqBC7fj3vZil01kwLr9A79PlIfX0RMnkygp59FlHL32dvnI3BGmOAVfvEFBQyBqRi161D4KBBkIeFcd5eD0YiQeSbi5Gwf78wWAlA4uNjev/AQAQMGmS1jQlfm00tkUrh3aoVYtasRsSihQgaO9bpzEwA8KjGz96SeHmx1y0x3s2bQW4lgy9w+DBUP3/O4XYwCgUCCoMyygYNEDR6NBi5HHFmNyWWAoMAEDJ1KuI+2w5FpUq8TFjLb2q6oEoDAhD19tuQhoTYfFnwhPGCx7wLBzP9evRA4onjvJtLia8vPBISxHcmNwXY/Z56Cn5mo+iBw4YhfN5cMAwDiZcX4nd8jsoHv4NXo0ao/NVXhnNpYRYZwwnmRb79NsJffhlSToaa1McbHlWrImDIEPYxbgBT4i0SHJEwkIeHscdEfnw8+5RepzdkEpgFOWWhoQidNYv92dKSzsqGDZB44jj8nnpK9Hn29RMnsIMM/n37osbFf1H1tGlBGmlgIOL37kGVoz/Cs0YNxHzwgWAf5gEvXualxPEgrbKhcPCRUSjg26kT/Pv2NbTLxwex6z9G8PjxgsCC1Nd0PgiZPh3BZisKyyIjETR2LILGjEH4K/Ph160bgswy0WI3fALfrl3Znz1q1oRXkyZQJCQ4nAEYMGwoQjmlNqRWMhtj139s1z4rf3sAMatXiT7nP2QIwubMgbJxY97jcZ9tF70GFhfu56RISIDU11ewjcKBjDZl3TqIWbMaQZx7V0cGlYsq5kPhMe+M4IkT4NWsmc3BQ2XDhvCsW9fu/cojIiBRKFBp82a23+ORmAj/Z56Bd5s2qH7hT3ZbsQFvo0oHvoFH1eIdAJR4FE92bmnl9qDQkCFDsGrVKixevBgNGjTAiRMncPDgQcQVXvRTU1ORlJTEbp+QkICDBw/i2LFjaNCgAd58802sWbMGAwYMcNev4B7FkCjkWb2640GKQmIZRoGjRyHm43XONstAq4WM2wG3g1jHMXrZe/Dt2pUdabNLYWcnctFCAMCjzp2h12gcaosl2keOFY0NnTFd0PliGAkvKJR44jhCJj1ntZMT+fbb4oEgDn1h1kr8zp3CJzVaKGJj4csJWhh5VK2K8NdfQ8SiRQh/xXrNmcDhw83a9ZZhHyJBRm4HJWLxIkSvXIGE/fsEFyzv5s0Ery3NI16BI0cifpfhM/YfMIB3keOl7XI6FZq0h8IdyWSIfHeJ4GFuJ8+/f3/ErltrelLCIPbjdaJZOua4N9yMJz9TKXr1asjDw6CIj4eydm3DNsaAn850sqq0aaPVenGW+IgcZ5UPfIO4z7aLBoWCJ05A+Px57Mi9GFenRDsq5PkZCH3+efZnia8vQmfPhm/XLgh7cTYqH/gGVX85CVlUJHy6dIY8Kkowgsa9KbLGqwm/0y0PC0O1P/7gPGJ2TuHeLHH+fvKIcMR+vA6+dtZG8x84QDTbMPKdd+DVsgViPl7HC5Tw2lB4nEgUCnhUN52vfXuIT4fUqzW8rCZ7MFIpwufOgf9TT7Hnl/AFC+DdqhVCZxr+NsasGI+qiYhd/zHiduyAd4vm7D6MU9yilr1n2KdcDs/q1USD8hLudE29Hnqt1mr7PGvW5L2GW4+IYRiEz5uLoFEjea8xz6ziEpv2Cwiv355168Cnk+FvzBRmeLHbRhmCZcHjhUERr+bNEf7KfITPn28IYFj5jpmf+wHD38Onc2fE79qJ2I0bTfvl3BhI/f2h14pff0NfnI3Q52ew53vu38lc+Kuvwqd9e96Nm9TXEPTQc66nSrPvDgAoGzdGyIwZCBxp+uw969Rhs8QAw3eMe3Np7L9ELX8fUn9/XsDKo3IVeNSoAWX9+oh6fxkvsCNG4uUFj8KpR4xCIbi+MYXHjFdTy8HxkGlT2X/79e1j2rfIcRs0cqTgMZZOB0YqRTXzc5FUxssUVSQmovpfFwQv96xdG/KwMEQvfx/V//cXGJEpkoq4OIS9yM+iYSQSfh+GYaCsXZs9byjr1uFn8kH4eXAzboNGOT59zNF+oCLerE/KGRQzP0cDQNWff0L4vLkInz8PssJAZfi8ubzrgE/btoj5YA37s9THB5W2f4oq3x90OBPdt1MneNYwZZgzXl5I+Ga/aIDGu21bJB4/jtCZz8O/f39en5qbIeORmAhGLodP+/a816tCQxH66gIEj3tWEJT2atIE4XOFA0+OsCdTseal/1Djn79R+Zv9ptdZGFhwaHqTTC7Yl6X2yEJDETxlMgJFMiLD5s21+y0rf/ctG5R2hjGb1dAPeRGMRCLaH+eqtNVKfVsb2d7h8+fBt3t3RC5ejKh33kaljRt4GeJiGX/+Q4bgznMToYiPh2ftOoLnbTFOYQ+0dl4rJPW3ngBQ3rg9KAQAU6dOxa1bt6BSqXDu3Dm042QdbN26FceOHeNt3759e5w/fx4qlQo3b95ks4oqFtdGhZxNS5UFBUIayh9dCxgwAPKoKKf2yxW/Z7dD04Ci3l8meEwRF4eYD9bAu4Wp4yz190fEm4sFo7bebdrAs04dKApH9/x69EDCieN41LUL4KKgkMbBpReDn3sOysIaLCyJBLo8U3V5Y6eIYcS/3pW2bmFHY60xjqIp69ZB9b8uwKeLaZTNWm0DAAgaPhyBQwbzOtxcxgukD6fzoEhIQEBhcFcaEIDEn44ifqepoKWUc/OoiIuHX8+e8Kxe3WZbjKJXrgDj6YmoZcLjwhbfnj0QOHoUQp+fYfdr4nZ8Lvp46tAhvJ8jXl3A/k2lPj6ofOAAwubOhVfz5gjgbMvrYIh0XKqfPyd6s84d0TZ2bHy7doU8Kgo+nICKceTfszCoAxim4QGGDBEujyqGwFXcZ9sR9f778LNU4whwaoqaUfTqVWxbjKQBAfBq0kQQZGIUckg8PRE0Zozo9LXAUaNQ439/IZrTkRarg2MPsWwBu2nNPhe9HiHPTUTMBx+AkcngUbUqZCEhSDxyhB315o42MgoFmx3A5d+vn/DmS+RyIfXxZm94/Tk3hQB/0QY9dzlTO2v2xH22Hf79+wtu5IwCnumPuC1b4NuhA6qeOG4zg1MRa3reUlBRr9GIpp3be34wCho5ApU2b4KssC6Vsm4dQwbcrl1QxMcLpiYHjR6F6uf+gH8f/mcoMavX5duzB+8xj8REwEJwAwD8nzGco7mBP4nICLa56BUreD9z65ooKglHu+UxMWAYhnfTEjRqFMLnv4KQqVOQsGsnKh/4Bglff4XwBQsQX1ivL2DwIIS//hoSvtmPmI8+hE+HDoheuYLN7gGAhJ1fImjcOPGMHc6xpGzQAKEvvADA8PdV1qsHqY/4TZiiShXeMenXtw+iP1iDkGnTBJkWlnjUrImgkSMM2Q4yUzukfobPl5txGc8pju7Xtw9iP1mP2HVrIfHwQMSrC5Dw1V5UPX0KCXt2Wx18MAbe/J96ClXPnOYFrCRKTyR8tRdxX+woUtDcXNVjP6PKD4dE/97se3KnhXKzpcxufhP274Oflfpxep0hsGmeVcLIpPBq3gxhL7+EyLfeNAQJRWqicR+TWDin2XPeEQvQcPftUbUqgkaONAwkFVJy6qXJgsQzka2+p1rNy9Kxxa9XL/Y4BwC9VouweXPh/8wzhowMOxkzJ8UCCYynJ/v3DJ0+DaGzZ4vW2PTv11fwmF6rhWcdw022xMsLDMPAs1o1hM+dw5v+Vvngd2AkEsjDwxAyZQqilryDhK+/gl/fPgieNAmMSM2xmLUf8c9lBaZsZ6mfawdoQmfN4vUdjcJfe1XwmCCDx9IsDAfq1TGF5xQlpy/F3S93kMuzTh2EzZwJnw78oBkABPTvbzGQL3xTCSReXqLfVVuZj9w6bvG7diJ40iRELDbVH2PkctT4529eBg+XxMND9HMLGjOGPZ4s8e3cGTGrV/GmDXOJZViFzJ2DvMJAlaMlQSpt3oSE/fuQeOxn3nfXUsatLEJYkqE8KxVBIVIExVRTqKgdEmlAAKoePcof/bPQCSgqeVgYgsePMxRE3rPH9vbWAlKc35Px9kLgoEGIfHMxb0QydsMniN+9izdqJw0MBBgGvmY3AEUllqZqDSORwKdDB0Qtf9/0mFQCfa7IiVHkbxk0ZgwvICYmYuFCKOLjeYEAiYcHYj/8EDUu/otqZ047XbOlysHvELthA3zatjU9aDaiII+KMhSPLcTNXpBw5vnKgoNR/a8LCH7uOcRu+MTie/r17IkaF/6EVzPL6ajWXhvxyivsaJ3hja2nA3s14hdIjV61EtHbP0WuHYV2g58di7htWyHxMnXQuRfH4AnjBRkBYlkSIVOn8kZdjEGh6DWrUeXIYd5NTNzWLQiZOhXRq00BYmMqb3BhjZm4HTsQ+dabbDaWV5Mm8O9tPe1fb6VOkr0kHh4IHDoElTabVvVjLJxbuKnoYunvEh9vMAoF77vn1aIlm6XG29bLSxDs5gqdOROxGzcKiuPytrE03cn8c7FwTmekUlOgV276G8fs2AGJUongKZMNNWDYF9h/3o3buhVVT5/ifc+MjJkN3BFse1PgvZo0QdSSd2xmIwKGzzjMbPq3+TQPRXw8otesRtznllcv06vVokGhiDfeEM0+cIQiPt7qDb/YKDI3cBv59tuIWbmSdy2JXrMaeo3lTKGIVw2dVImHBypt3oTQWTMFWXFiZIGBbKYIAAQMHIiope/C/+mnBYMBAUOHIOGrvQCAxKM/IvqDNaj+v78g9fWF1Mcboc8/D4/EREi8vOBZsyaCRo1kO++MRIKg4cPhWa0afDt3RuzH6wQ31or4eITPeRneLZqjypHDqPzdt/B76inEf/kFGE4ma+TbbxmyW62I370bfr17I3rZewAnKBT19tvw69oVoTOmi/ZfzINzwRPGI26LaSUhbjBPUpgpZLzZNg6WGTMOg8eOhU+7drypdZ61alk9zgOGDQUAhM02BQPM2+lZrx4YicSuGmr2kPr5WZ1iB4B/vWUYNnPSp3NnNsM36Nln4Vm9uvV+oc7CeUsmA8MwCB4/HgEDxQOz5tkjAHjnorA5cwCpFJF2FMgWDQpxBpKCxo4BI5PBs3p1VD15ApUPfCOY6h6zbi0CBg2E/0D7Zh7oNWqbxaS5GKmUf5xrtQgeOxZR77zt0N8+cNQoVP7+IMIXmArx+/frBwAImWyaCi7x9kbIcxMFmTiA4SY49MXZvEUFoNNBFhSExBPHkXjihFnjTe3zECmQzTAMot97z5B1LHK8MFIpZIGBhmNLJsN9zjHBnUbnCiGTJ0Eexc9QZeRyBI0Ywb9WirJwb+XAQLDxPM+9Lug1GsR/+QWCn3uOV3NMUrgAjVi7JN7e0GvUgseNeAGXwv5E9PvLUOPv/7GBQO82bVDtl5OotHUrZBERotmbYS++iODJk5Cwfz88EhIQ9sIswTmNkcnEA7bWSCTQpqezP/p07sxbzMYejEwq7OtxrqP2DgQY6fLzDQHNiAgoGzaAPDYW3q1aig4gAobs6IqEgkJllQuCQtyUcXZVriIGhST+/oYbrQDTCYeRSEQ742Lp2LZ41jdlx3g3bwZlndqCbYzzgo3bWq0vwemQmncajRiGsdgZCpnzMq9OR1FFvbcUykaNHJrKwjAM/Lnz782mj3E2tO8xM4FDh6DKoe9FawMxEonVeebW+Pfvbyj+/MILkEdGwqet4QYnYvEiSP39EbXkHcFruCPj1qZaSDw8EDb7BX6QyQJn5nYznqYbw/gvv7S6sheXR82a8OvRA8oGDaC1MF1G9P04xym33bKQEMRtsZKyW8i8kK6xk8IwjGCKgjw6GqHPz4AiJtpQJLF1a8ijo3gdAa9GDS128C1xVQFPgF93hxsA4Hbi/bp3Z/8tFblZM2avcV8vDw9js9S4Km3ehISdO5Gw35Rezj1vMnI5fNq0RmXz2i8cIZxMVu7fgzslyl7cc5pHdcP5LmzmTMRt28o+rs3KErzOGHQJnjiRvz+ZzOINbZUjh1H19CnIgoPh3a4t5FFRVuf3O8OvR3dU/eUkEr7+CoEjR4reaPl16wavwoCfTKSgunmmkCwiAgn7vgYjk9mcplXcdCrD9dW7tSm9XxYYaP2cxrkuebdqhZDJk20O2hhr3UnNzjH+/foh6t0lgmuisk4dNsAhCwqCX9euDk/Bs5ciNhYeVaogevn7UDZowKtVJbUjS0NZtw6i318GeXQ0dJwsA1t1pGLWrePVGPPp1Jl3DfPkTHsxTp0JnzcXicd+hl/h1MHo1atR7cxpeNaqZbOd5iJefx3Vzp4RZvjCkIUT+fbbDmWbuIyEf/6v/P1BxO/eBa+GDQ1Bh4MHRYsjC+gsHMNS29fZqOXLhY8tew9eLVsgdtNGBI97FjX+PM9+761SC2+eudc4XZ5p5VlZaKjoKoi+HTsi8s03Ldd+ErynBlJ/f7uOXzF682xROzEMA4+EBF4gKfLdJah25rSFz0p43pD6+SFk4kSEcqaOG89H8rAwQaaeLMT+FT0DC6e0igWxg0aPRuUzp5HLCVQZg7GuxMj4x7eXcTDUxjnUeF6KXmE4NiMWLQIAmzVzePWiOH014/Rj/z59oGzQAGGzX+D1qYx9SolCgYhFi+Dbswcqf3sAiUd/NPT5RAYOKm3dgsARI1Bpk2mKLTcjm5HL4dWoIar9dpZdBMa7RXNUPfYzr7izkcTLC2GzZsGzumM1qPx69WL3LzpIJ2GgyzXNYoj96EPeYjZ2kcnYWR9eTZogdgN/epmj+9NylmeXKBSo8v1BxG7aBM86tUWLidtTsL48Kf7KV6RYuGT1MZkM0atWIevHH4u8rDm7q8JOFvemGRKJ6MhtUTqdseuEtYn8+/VFxn7TKhoxH32I9C++ZIsmWussMpwOkcTT8XozEi8v+Pfpg4yvLN8M2sOzZk3E7/gcyTOeR5bZqnp2k0qgiI+H6vJlfvaKWE0hF2RtOKryd98i5+xZBA4ejMg3FwuCMoGDByNg0CDRGx7uyd/TgaWsrSlSUMhYc5tbS0evQ8zKlbhx8xZUly5Zf88iBlt502ocXG5b4u8veF+PRPsKwse4cJWT6PeX4e6sF6wUCLafPDIS0uBgSDw9eZ2QiNdfR9b3h+DVpAkvi00sgGkMgshjY9l9Wax9IpVBHhUFOYBKW7ci97ez8OnYCbcGDbLaWfBu2xY5J0+yPysSq6Dg2nX4tO8A306dkPf33/DtZrgRDJk6FQ/XruWN+lqirGe7mKOO0+lhX1enNqr/dcGhzE2Jhwe7fez69YBWW6zFMmUhIZCFhLAZMtb49+6NRxs28B4zzxRS1qtnuuHnjPKGvfSiS6c1O8KvTx8wCgU86xj+jtZGgR0Rt/1T3F/yLiJefw0AIIuMgObBA5fsu7joMk3BS2tFrcXoOUEhW7ybN4PEaw5uDTIsosGIXBcrbdmM/EuX4V1YuoCRy3nTGZwZDGE4WTjmPKtXN9RydAPe58AwkAUFsZleDMPAo7J9gRFZmPhIuvlNuZFf797I/PZb+PXqKTpFUBEbyxvwsHclIksBVo+qiVBdvSY6PccSewP2xuwkibc3tI8dqw8JwHJArQgYhrF4jEo8LZ/3eX0EK0Eqv169kPv7H1brVBn5tG6NxJ+OWqwDan4d4tZtiVi8yOb+Bfvz9YWucDDEuAiGIPPKzkLixgUT/Hr1gk+nTmwARx4ejio/HMLjzz9H+qfbAQDxu3cBYJB34QJ8u3bBw48+Erx3xMI34Nent6D+pk+Xzsj+8SivJlzgkMEIHMJf7EcsA867RQt4t2jBvw8UCcKKnVc9q9dA1veH+NsF2D8ozWUMnAFA5OJFuDPxOQRPmYx7rxlWomUkEkQsfAOPPl6PyHeEg772YGRy+HXtCp9zf7CDmmqzAHDQmNF4vOMLxH+2HWkffgRl/fp4+KH4SqR6swF0bp8mdMZ05P/zD7KPm2qROVrLtqyjoFBZ5YqgkFYLvx7d4deju+1tbTCm6fLSCxlGNN3Q0nLalgQMHSI63zti4ULkX7psCIbA0JkIn2OqOSRRKuHXqycyD34v0mDTSVsaxBkpd+RzdX7qP2dfpp151qmDiDdeZzuxNl8qkSBm9SqkrVnDSwUOnTYNt0+fQcCggXiy2zDdziXBRAd5VKlis1CdtaBJlR9/hDbjiVmx06Lf1DmVKcR5LXtjwvlMQ6ZPF70Yya3UdrBGolSi6ulTbCq+Q23lBJFiN3yC/H8v8lYeKymeNWuiyg+HbG9oB0YuR+LPPwmy+CQKBar98bvgMzJf7pi74o5EoUDikcOAtc+W05H0btGcrQNS+eBBQWeh0pbNuDtnDiIXLULmt9/xnkvYtQuatDR2SocnZ7pZ6PMzEPzcRLtSs70aN0bEqlU4c/s2zCdwerdqhZxTpxAw2FAbLXTWTKStWo3gwukEzkzlZRjG5nTJkhQ6YzpkIcG4v+Rd9jG9xmz6GHfRBM531NF0c2eETJ+O7GPHEFA4tYNhGP7KUiKnY78+fQR1i2zxatqUnQYGANFLlyL5hdkImSj8XT0bNkT+n+K1IUoSd8TWVmFlc7IQ4cIW1vD2LzJNx7tlS3i3FI6gl2vcz6QIgxaRH32I3B+PIni8hZonFqZDRS5eBN/u3eDjYBFkmyzUrovfuxe6jAzRxVAs8W7dCpFLliD7xHHBDTSXsbaVpWxzSxRxcSi4fRvebWxnNrsCI5Ohyo8/Im3lSmR+953F7SwVcDfuw55pfEaOBN65GeGOZiKbY1e5M7teGescMQrxweL43bvxZM8edoEBAIJrsiIuDvJwUxBUWZg9pKxbB+p790wbcgslF2ZgmotZswa6zEzbwWYr302GYRA0fhy0j9OhSIi3vp9CQYWlAHzat4Pqxg1o0tJEpwM6yqNKFST+dBQA2KCQxM8Pfl27iv7+9jL2ua0V+g6bNw+hM2dC4uWFSoUlJILHj8ONfk9DXbhQVeCoUcg+etTmKofmQTiHVlMuB0pPL484xgX39q6o9WFkrLfAKDlpkRKJaEqh+ZQyz/r1kP/X/yDx8uKlGgJA4vHjkIWJX8wlSiUSdu/Co81b4NOxg+g20StWQJOejtzTZ8waYfpnxOtvWPit7OdRsyZU//0HhZ2ZGAKci0jCHsOc20pbNiPrx6PIOX0aBTduWHmt1FBzw6zAqFeTJqj221lIfH3ZoJCl+f+lmSImGihcwShh/37osrP4S0E7qijT/jg3lb49e6Dgxk12OkDAM/1xf8m78KxbFz4dOuDhhx+yI8OVtmxG+pc7EWGWBRL50UdIW7QIUSKrhZmzpy4LV9R7S3F/ybuI4QSnfNq2tWtqXVlgKdNQLLAjDQxg/53401FBR9W8Mx+9aiUefbIB+RcvWm2D2Ci6d8uWqFaYHeRZuzYKkpMROGwY+z7Wanw4Mlffp3MnFBw8KHg8Zt1aFNy8CY/CzIPgSZPg16uX1aXDyypGoUDQmDG8oBDU/Olj3OPBu1VL5Jw6DYULOr+OCJ0+DaHThSnpRuEvv4S8Cxfg368fNPdS4d+/v0u+p4r4eItTGiOWv49bnQprNrmgqHFRaTMzbG9kQcAz/aG6fMn+1XZ4ARCqmgCYny8dPw6827VDgFntL2P2gzUSLy+nbhLNBY4ahfTt2xFiYREIiUIBiQMBIcDw2QT0fxq6rKxiCQpVPvANdLm5Rc4+KwpFTDS8W7USDQopGzVC3t9/8xaeKEm8QV/OcSmvVIm9qbdKZLBTkClUuF9L/Sll3Tp2TUXi1vXjPc45x9hTH8re7MOQKZORfeIENKmpos+HO7D4DmAYHDLWnfK0UgvRksi33kTqq68JFv7gili4EFlHjyJIpBC6oyQWFhzgYhiGV0cPMNwfBg4bhgdLlxratOAV6F+Zb3NwlRsUStj3tdtXqS1pFBQqq1ySKeS6oJDxCykxnz4mcnIMfnYssg6ZLrTezVsgZs0HkPr64HIjs6WTw63f/DMKBa+wnpiod99F2oqV/OUHOb+72JLJjopdtxbpn+9A4PBhRduByHnKOHp5o7+NlcKspMWap48yHsVTL6KkODrnWYylTCH/fn2Re/5PqO/cEXnW9H2LWbkSer2evbgEjhwJj+o14FmntmH1sG8PQFY4mmRpBNq7XVsEmC2XWxS+PXog69Ah3gpL/n37GqapuPGGr7TgHv8SO1Y48evRA94tWuBKi8K/WRFPs/LwcCTs2lm0FxeRxMODVx+FYRirqw+VByHTprEp+3qN+ZL0puM/atkypH/5JQKesb3qYklSxMej6i8nS/S76kjGRHHSZQinOdqLkcsR8frr9m/P7YfYOY2k3OMFylyzy6h3l+JKYf0mR6cEFlX4/HkIHDIYChvZyEXBiEy7ilr6LlLmGlarNN5AerdsiTwHsu8YhQJSC4MbwRMn4NGGjewKY67k/3Q/qG5cF9SGi/tsO/QFBY4XEnYRjxo1DNMJAwJ458LY9R/jRs9ernmTwv1anCpu724s/N1koaEIHD4MjFzh2PL1NsgjIpD401GkvvoqMvY6V67CFQIGDoRvjx6CunVcgUOHINBslV1Hhb38EjIP/WBxBWN7mGdP2XOdDZv9Am4NGWpYOa2GfdNIyxMKCpVZrpk+5irGmkISs0whMcr69VH11K8ouHUbWT/+iJDJkxweaXGEPDwcUUvf5T0mNk/XUQrOCLw8IgJhL852ep9iQiZOwN3ZL1qs+2TPqETYvLnI+OabEp06UVqZf14BgwdDUSkWQePG4faIkRaCQmb74K5eJ5Xylhd2dmU2R0QteQe5/Z82FVEUaV9FxkilqPz9QegL1BaXuBbg3iy5YbolsV/ojOmmoJBaDYm3N4Kfew7ZJ0/Cv39/djtZcDBCRYpIlgbu+K6qAwMgT38Cb1dP4XGANqPomUIO49TbcHSqWrnFnULvoptYqY83avzvLwAl9zkzEkmxXXPFptwqG5tq6hj7kcGTJ0Hi6wufds5n+YXOno2AwYP59QRdhJFKRTNLLC0KU1IYhhFkugOwu+C3R2Ii8i5csPUmAIpW05TLWIxejCOBakcwDOPQ6mfFzVpAyFWCx49H8PjxTu3Dp317hL/+mkMZUcr69VH9z/NWVxstzygoVFa54GZFLzoHu2gdVM/69Q2vNssUssRY1NC8doJxrnVxc0VQKGjsWKhT78G3S2fbG9tg7cbAr1cveNarB7nIijsABKuIiAkeOxbBY8cWsXXlm7JeXXYeOzeoGfvJetx5rjALrZQGByRKpeiyvsTE7pVkCvGDhqXz706EjOf0sNkv8Jb/JkK3XnwR3dq25dXHKGkeNWtA8+BBidyMMtz6UjR9DIChzxH51pvQZmXz6vU5vd9iWr3OHRgPkZqYnK4aW2haoUBwYa0Wp9+TYXgDjhWdNCQE2ocPLT4fv3cPZIGBSFu9GoHWskqMGYJO1sZTNmiA6BXLIY8t2SxcvcgqZMQ6hmEQNHy4w6+rqAEhgJakL7uKeJOasH+f6QcLhfkc5VmvHhvU4N5UWwsKWVLp020uaZMtllZ9kcfZf6KXeHoictFCF9VqsR6MU8TEWBx5E1tNhdiPGxxlOMune3P/rqU0KESKAbfT6KJzJCl+epElqYk4vVxe5GW0XSVy8ZsIHD2KVyC72PDqfdD10ihg4ECXBTPKI7HpY7x+LZ1zil3iT0cRtfx9i8/LIyIgj4pC1NKlUNaubXE74z0KIytCTUkzfr16Ob60upNkEe4L4JOKgzKFyqiiriLFXf5UPFOoCG3hLA/LmK0+BgAxa9cieepUu/YlDw+HxMcHuuxsl7TNIgtRd2NqrX/hajElxpkpBHZkChErON8D7ggBTcGqmLiZQq46R5Li54rsT1Jy5OFhiHjlFdsbuoCt1ccIESO6YiP1C0qURKGwutiGtWmKiceP4Vr7DsYtDf8vRatoOiJkyhRoHz2G31MuqrFEiAi6OpZVrkhcsLOmkCwqElV+PGK5KZygEO+murDz5dupo0MrPpXESdu//9MADKsEcUkDAhD19tvwbtas2NvA5dXcifejkU+n6DnfA0tpo0UNwpIyiFdTyH3NII4pqcK2pAySUFCIOE5s+hhNPyx5VqckWrlf4E2PNWYKyctmUEjq44Ood5eUm1VkSelEZ7eyqthqCglJvb2hiImxuKSyXqVi/80bWeF0vmI+WAMAiFi0yOb7MUVZMtxBXo0aocqRw4j7Ykexv5c9AgYMQNSyZVaDb+Y8qhlW4vLt4rrlXSuKoDFjTD9wVqKTeFmYS0zBgQqDagqVLbGbNsKzbl32GkOIOW5NIcoAJfYSW62Vph+WPGv3BLYGkb2aGxYBCRw21K7tCanI6NtRZrngZsXBqRExH69D2po18KxWDV4tWuD2MEMBL970MbF0WwC+HTqgxt//sy/gU0KR/NJUzI+RSuHfp7dDr0nYuwfa7GyrqbVEXNi8uXi8zVC/Sq8zZQr5dOqMx9s+BVOMq+GRMoSmj5V6Pq1bw8eNq2iRMoBWHCNFILpEOwUVS5zVoJCN73alTRuhefAA8qgowwMUFCLEIvp2lFXGTCGJpOg3LiKvs5Za6ZGQgJiVK4VNsRAU4j5u2Ld9GUAlkSlUHjByOQWEiog3WszJFPJu3gxxO3ZAYV5wnKaPVUhUU4iQso9740hTgYm9RPuiNP2wxFmdPmYjKMTIZKaAEABlvXquahYh5Q6d3cqqwo6NqwMoAYMHQ5GQgOAJ4zlvZb0TxV31ReLjA+/WraFs3BiyIi53a1xiW0oBD1IS9Pwbf69GDSELDnZTY0hp4pGY6O4mEEKcJaE6YcRxolONKFOoxJnf53jWrWt6zsEgnbJuXcRu2ogqh753SdsIKU8oU6iMMgZqGJmMV9PHWVJfX1T5/iAA4NHGTXa9RscJCjEMg0qbNkKv1xd57n7YCy9AERcH3w4divR6Qhyh19qTDUJ3EhVJ1VO/QpebB5mbl+0mhDiPkXGDQpT9R+wjlqHCMAzksbFQ37kDCU0zLxHmf4fAoUOQ+vffRd4fTTcmRBxlCpVVhfeopaJoGicoZORMMUeJUomgESMgj452plWE2Ednxyp8NOWgQpEFBUERQ+cfQsoDXjYBncuJnaTBwfDr3RvKhg1NDzIMKm34BH69epaahUrKO/NMIZrWTUjxKAURBVIkxo6NgurvEOIM+zKFCCGElEncwTMKChE7MQyD6PeXoeDOHVzv2s3woEQCRXw8olescG/jKhBBxpaOvsOEFAfKFCqr2OljJRAUsnD+9evTBwAQOHxY8beBkOJCmUKEEFJuMRIJfDp2hLJ+fSiqVHF3c0hZRjWFSpygdqo9fTZCiMMoU6iMkvj6QJGQAGlwEDSpqQ69VhoQAO2TJ0UuBG0U+dabCBjwDLwaNXJqP4S4kz2pyB41a5ZASwghhBSH2HVrnap1SAjgXGkEUjTmmUKU3U1I8aCgUBnl160b/Lp1Q8GtW7jeo6dDr437bDserl2HkOnTnGqDxMMD3i1aOLUPQtzOSgejypHD0Ny7B89q1UqwQYQQQlyNbuiJ0+gYKnGM+bLzlClESLGgoFBZZzZ9TOLtDV1ODvtzpa1bkb7zS3g1bASfjh0AGJZZjl6xvAQbSUjppbfSwVDExkIRG1uCrSGEEEJIqeTgEujE9ajQNCHFg4JCZRxvqVUAXk2bQv3gPlQX/wMAeLdoDu8WzZ17E6qnQsozKlpICCGEEFsoU8jtvBo0cHcTCCmXKORdxnGXpPdp3x4RC9+wOh2GEGKGUpEJIYQQIoYGRkuNkBnToWzQAJW2bUPi0R/d3RxCyhXKFCrrOHNtIxYvhjw8zOU3uYyHh0v3R0hpQkULCSGEEGITZQq5lV6jAQB4N2/m5pYQUv5QplAZx80UgtZwsnTVTW7Usvcgj6uEqKXvumR/hJQmAUOGAHI5gsaOdXdTCCGEEFIKyaOiIAsNhTyuknB5dFKy1Gp3t4CQcosyhco4blCILb6mdU2mkH+fPvDv08cl+yKktIlctBARC14RLHdKCCGEEAIY+tmJPx0FJBJawc7N9GqNu5tASLlFQaGyjrtUY2EwiCrzE2IfCggRQgghxBrKECodjNPHCCGuR9PHyjhuppDEz8/wDxdlChFCCCGEEEKIuyni4tzdBELKLcoUKuMYiQRx2z+FLi8PssBAAICegkKEEEIIIYSQMi7uix3I+eVXBA4d4u6mEFJuUVCoHPBq2pT3s56W2CaEEEIIIYSUcV4NG8KrYUN3N4OQco2mj5VDDEN/VkIIIYQQQgghhFhH0YNyKHrVKkgDAhD57hJ3N4UQQgghhBBCCCGlFE0fK4e8GjVE1dOnaOlMQgghhBBCCCGEWESZQuUUBYQIIYQQQgghhBBiDQWFCCGEEEIIIYQQQiqgCjl9TK/XAwAyMzPd3BJS1qjVauTm5iIzMxNyudzdzSFlDB0/xFl0DBFn0PFDnEHHD3EWHUPEGXT8OMYY6zDGPqypkEGhrKwsAEBsbKybW0IIIYQQQgghhBDiellZWfD397e6DaO3J3RUzuh0OqSkpMDX19fltXeaNm2K33//3aX7JKVHZmYmYmNjcefOHfj5+bm7OWUGfS8M6PghXEX5XtAxRJxR2o8fulaUbqX9+CmvytP3go4h4gzu8dO5c+dy870oLnq9HllZWYiKioJEYr1qUIXMFJJIJIiJiSmWfUulUjrJVQB+fn70d3YAfS/46PghgHPfCzqGiDNK6/FD14qyobQeP+VVefxe0DFEnOHn51cuvxfFwVaGkBEVmnaxadOmubsJhJQ69L0gRIi+F4Tw0XeCECH6XhAiRN8L16qQ08cIKarMzEz4+/sjIyODotPEYXT8EGfRMUScQccPcQYdP8RZdAwRZ9DxU3woU4gQB3h4eOCNN96Ah4eHu5tCyiA6foiz6BgizqDjhziDjh/iLDqGiDPo+Ck+lClECCGEEEIIIYQQUgFRphAhhBBCCCGEEEJIBURBIUIIIYQQQgghhJAKiIJChBBCCCGEEEIIIRUQBYUIIYQQQgghhBBCKiAKChFCCCGEEEIIIYRUQBQUIoQQQgghhBBCCKmAKChECCGEEEIIIYQQUgFRUIgQQgghhBBCCCGkAqKgECGEEEIIIYQQQkgFREEhQgghhBBCCCGEkAqIgkKEEEIIIYQQQgghFRAFhQghhBBCCCGEEEIqIAoKEUIIIYQQQgghhFRAMnc3wB10Oh1SUlLg6+sLhmHc3RxCCCGEEEIIIYQQl9Dr9cjKykJUVBQkEuu5QBUyKJSSkoLY2Fh3N4MQQgghhBBCCCGkWNy5cwcxMTFWt6mQQSFfX18Ahg/Iz8/Pza0hZYlarcbhw4fRrVs3yOVydzeHlDF0/BBn0TFEnEHHD3EGHT/EWXQMEWfQ8eOYzMxMxMbGsrEPaypkUMg4ZczPz4+CQsQharUaXl5e8PPzo5MRcRgdP8RZdAwRZ9DxQ5xBxw9xFh1DxBl0/BSNPeVySkWh6bVr1yIhIQGenp5o3LgxTp48aXHb1NRUDB8+HNWrV4dEIsGsWbNKrqFlwL0bGcjJULm7GYQQQgghhBBCCCnl3B4U2rlzJ2bNmoUFCxbgzz//RNu2bdGzZ08kJSWJbq9SqRAaGooFCxagfv36Jdza0u3ejQzsfe8cts791d1NIYQQQgghhBBCSCnn9qDQihUrMH78eEyYMAE1a9bEqlWrEBsbi3Xr1oluHx8fj9WrV2P06NHw9/cv4daWbsmX093dBEIIIYQQQgghhJQRbq0pVFBQgHPnzmHevHm8x7t164ZTp0657H1UKhVUKtOUqszMTACGeYlqtdpl7+NuWq2W/Xd5+r1KE+PnSp8vKQo6foiz6BgizqDjhziDjh/iLDqGyh6tVguNRgO9Xu/upkCj0UAmkyE7OxsyWYUsjczDMAzkcrnF5eYd+Z659dN8+PAhtFotwsPDeY+Hh4fj3r17LnufJUuWYNGiRYLHDx8+DC8vL5e9j7tlXlMA8AAAfLvvIB6c9YJXlAZ+VQrc27By6MiRI+5uAinD6PghzqJjiDiDjh/iDDp+iLPoGCobfH194evrazHo4A4RERG4ceOGu5tRaqjVaqSlpUGn0wmey83NtXs/pSLEZl4RW6/X21Ul217z58/H7Nmz2Z+Ny7N169atXK0+dv5QEv64ehsAEC6rhZTsO8i8IsXQGV3c3LLyQ61W48iRI+jatStVvScOo+OHOIuOIeIMOn6IM+j4Ic6iY6jsuH//PjIzMxEaGgovLy+X3psXlV6vR05ODry9vUtFe9xNp9MhNTUV4eHhiI6OFnwmxtlR9nBrUCgkJARSqVSQFfTgwQNB9pAzPDw84OHhIXhcLpeXqxMSL4qrMx0U5el3LC3K27FDShYdP8RZdAwRZ9DxQ5xBxw9xFh1DpZtWq0VWVhbCw8MRHBzs7uawdDod1Go1lEplqcpecqewsDCkpKSwU8m4HPmOufXTVCgUaNy4sSCF8MiRI2jVqpWbWlV26XXun+tJCCGEEEIIIaRsMtaiKU9lVsorhUIBgF9buCjcPn1s9uzZGDVqFJo0aYKWLVvik08+QVJSEiZPngzAMPXr7t27+PTTT9nXXLhwAQCQnZ2NtLQ0XLhwAQqFArVq1XLHr1BqUEiIEEIIIYQQQoizaIpW6eeqv5Hbg0JDhgzBo0ePsHjxYqSmpqJOnTo4ePAg4uLiAACpqalISkrivaZhw4bsv8+dO4cdO3YgLi4Ot27dKsmmlz7cqBB9hwkhhBBCCCGEEGJFqZiMN3XqVNy6dQsqlQrnzp1Du3bt2Oe2bt2KY8eO8bbX6/WC/yp8QIgQQgghhBBCCCF2u3XrFhiGYWcjmf9sy9ixY/H0008XW/tKgtszhYjr6PU0gYwQQgghhBBCCCmK2NhYpKamIiQkxN1NKTEUFCpPODEhmgJKCCGEEEIIIYTYTyqVIiIiwt3NKFGlYvoYcQ3KEyKEEEIIIYQQUlEdOnQIbdq0QUBAAIKDg9G7d29cv36dff63335Dw4YN4enpiSZNmuDPP//kvV5s+ti///6Lp556Cn5+fvD19UXbtm15++RSqVR4/vnnERYWBk9PT7Rp0wa///47+3x6ejpGjBiB0NBQKJVKVK1aFVu2bGGfv3v3LoYMGYLAwEAEBwejX79+xV4qh4JC5QlFhQghhBBCCCGEuJBer4dapXXLf46WSMnJycHs2bPx+++/4+jRo5BIJOjfvz90Oh1ycnLQu3dvVK9eHefOncPChQvx0ksvWd3f3bt30a5dO3h6euKnn37CuXPnMG7cOGg0GtHt58yZg71792Lbtm04f/48EhMT0b17dzx+/BgA8Nprr+HixYv4/vvv8d9//2HdunXsVLXc3Fx07NgRPj4+OHHiBH755Rf4+PigR48eKCgocOhzcARNHytXaPkxQgghhBBCCCGuoynQ4ZOZx93y3s+tbg+5h9Tu7QcMGMD7edOmTQgLC8PFixdx6tQpaLVabN68GV5eXqhduzaSk5MxZcoUi/v76KOP4O/vjy+//BJyuRwAUK1aNdFtc3JysG7dOmzduhU9e/YEAGzYsAFHjhzBpk2b8PLLLyMpKQkNGzZEkyZNAADx8fHs67/88ktIJBJs3LiRXW5+y5Yt/2/vrsOjuNY/gH9X4+6uJEhCQpDg7qUtFNpChdJSoeXW7dJb1197a7f3lio16l4o3uIeQoBAQiDEICTE3Vbm98dmdmd2Zy27yUbez/P0KdmszG7Ozpzznve8B97e3ti9ezdmz55t8edgDcoU6kcYigkRQgghhBBCCBmgLly4gJtuugmxsbHw9PRETEwMAKCkpAS5ublISUmBq6ur9v7jxo0z+XwnTpzApEmTtAEhc6+tUCgwYcIE7W0ymQxjxoxBbm4uAODee+/F999/j9TUVDzxxBM4ePCg9r6ZmZnIz8+Hh4cH3N3d4e7uDl9fX7S1tRldrmYPlCnUn9DyMUIIIYQQQgghdiSVi3H3f6Y47LWtcfXVVyMiIgKffPIJQkNDoVarkZSUhI6Oji7t1u3i4mLxfdnnF+nt+sQwjPa2efPmobi4GJs2bcJff/2FGTNmYPXq1XjzzTehVqsxcuRIfPPNNwbPHRAQYPWxW4oyhfoRigkRQgghhBBCCLEnkUgEmZPEIf/pB1hMqa6uRm5uLp5++mnMmDEDQ4YMQW1trfb3Q4cOxcmTJ9Ha2qq97fDhwyafc/jw4di3bx8UCoXZ14+Pj4dcLsf+/fu1tykUChw7dgxDhgzR3hYQEIAVK1bg66+/xrvvvouPP/4YAJCWlobz588jMDAQ8fHxvP+8vLws/hysRUGhfoQb+aTVY4QQQgghhBBCBgp2x66PP/4Y+fn52LlzJx555BHt72+66SaIxWKsXLkSOTk52Lx5M958802Tz/mPf/wDDQ0NWLp0KY4dO4bz589j/fr1yMvLM7ivm5sb7r33Xjz++OPYunUrcnJycNddd6GlpQUrV64EADz77LP4448/kJ+fjzNnzuDPP//UBoxuvvlm+Pv749prr8W+fftQWFiIPXv24MEHH8SlS5fs+EnxUVBogKm61IjiM9WOPgxCCCGEEEIIIcRuxGIxvv/+e2RmZiIpKQkPP/ww/v3vf2t/7+7ujo0bNyInJwcjRozAv/71L7z++usmn9PPzw87d+5EU1MTpkyZgpEjR+KTTz4xWmPo//7v/7B48WLceuutSEtLQ35+PrZt2wYfHx8AgFwux5o1azB8+HBMnjwZEokE33//PQDA1dUVe/fuRWRkJK677joMGTIEd9xxB1pbW+Hp6WmnT8kQ1RTqTyxYP/bDyxkAgJueT4dPsFs3HxAhhBBCCCGEENIzZs6ciZycHN5t3BU1Y8eOxYkTJ4z+vr29HYAmgMQaPnw4tm3bJvh6X3zxBe9nZ2dnvPfee3jvvfcE7//000/j6aefNnr8wcHB+PLLL43+vjtQplB/YsXuY/WVrabvQAghhBBCCCGEDBA1NTX4+eef4enpiYiICEcfTo+hTKF+xJpq6mJxz1Qdqq9sgaunE2ROkh55PUIIIYQQQgghxForV65EZmYmPvjgAzg5OTn6cHoMBYX6EWt2HxP1QFCosqQRP76aAQ9fZyx/dXy3vx4hhBBCCCGEENIVv/32m6MPwSFo+Vg/JbR1H293MjsGhZrr2nF8ezHamvjb9OVnVgAAGmva7PZahBBCCCGEEEIIsQ/KFOpPzKQKMWpOUMiOiUIb3juBmsvNKM2rxdX3p2pvV6nU9nsRQgghhBBCCCE9wprSJMQx7PU3okyhfsRco1CrdL+3Z02hmsvNAICSMzVGX48QQgghhBBCSO/GbrXe0tLi4CMh5nR0dAAAJBLb6vdSplB/YmT3MUbNQCQWQa3mLx+rLGmEi4cM7j7O3XI4FBQihBBCCCGEkL5DIpHA29sbFRWaUiCurq6CpUl6mlqtRkdHB9ra2iAWU26LWq1GZWUlXF1dIZXaFtahoFA/YiwEU3iyCrEjAnhBmsbqNmxfdwYAsPrD6d1yPGolLR8jhBBCCCGEkL4kODgYALSBod6AYRi0trbCxcWlVwSpegOxWIzIyEibPw8KCvUnRpaPtTRq0sq4NYUqShq75RAO/X4BCaOD4BfmLlhTKGNTIVw85EiaHNYtr08IIYQQQgghpOtEIhFCQkIQGBgIhUJh/gE9QKFQYO/evZg8ebJ2idtAJ5fL7ZI1RUGhPkylVEMsEWkjg6YWazXVtqO9RfeF5gaI7On41mIc31qM1R9ON1g+VlvejKMbCwGAgkKEEEIIIYQQ0otJJBKb69XYi0QigVKphLOzMwWF7IyCQn1UR5sSXz97GIFRHliwOkVzIycGI9K775drDvAez13adWZfKQaNCoLcxb7NQa3kB4XampV2fX5CCCGEEEIIIYR0HVVo6qOuFDWgtaEDxdnVUHaoNDcaWT6W0Zmdw6XiZArt/iYPO9fn2v0Y1XrLx7jZSbTFISGEEEIIIYQQ4lgUFOqjnF11KXNtzZplYcbCLEqFYW0f/aVdF45Xduk48jONFx9T6b0Gd/ez7lq+Rog1ygvq0VjT5ujDIIQQQgghZtRXtqDgRCVNLhNiZxQU6ge0AR4rzo/6WTxdUXWpEds+OW3xa/Ayhax8+YriBuQdLrPuQYSYUHmxEb+8kYmvnjro6EMhhBBCCCFmfP3MYWz5MBtFp6ocfSiE9CtUU6gfqL7cjMvn63hRc3MBdP1MIdaF4xXwCXaDb6ib2detu9Jq1WtwM4XUDANrSpb99NoxAICrlxMihvha8UhChF0pqHf0IRBCCCGEEDMyNhWitUm3YU7xmRrkZ1YgcpgfEtODBR+z+9s81JY149qHUiGWUB4EIaZQUKiP4gaANq89BQCQyCw/4ZVfMBwQl+bVYuvHmsyf1R9Ot/EIAZVeoWnGDsvHqkubKChECCGEEELIAHFUrz7qmb2lAIBzR68YDQqx97l8vg7hg2nsQIgpFDbtR1Sc2kHm1to21bYb3FZ5sdHo/ZUdKuz5Ng8lZ6oteg21Ss1bPqZoV0HRrtI9lmoKEUIIsYNd35zF9nVnqMYEIYQQQkgXUFCoj+rq8jBTRGKR0d+d3HkRp/eWYuN/T1r0XB89uAdVF5u0P3/84B5s//SM9mdrawoRQggh+lRKNXL2Xcb5jCtorKai8YQQ+6kobsC6x/Yh9yDVtHSkrgT8uY+hpWOEmEffkr7KXFCoC5k4YhNBIaHMIpOvrzT9+tzjq7rUhG2fnEZtebPZ56WJYNIdjm4swLcvHEF7i8L8nc1gGAZn9pWissR45h0hxD64EyB0fSCE2NOJvy6irUmBnV/lUoa7I3Xho+deG8QS4+MbQogGBYX6KMbMGdLemUISqUBTseH6yI3g//LGMeRnVuDP/1mWhUSIvWVsKkJtWTNO7rxk83NdOF6J3d/k4cdXM+xwZKS/UNlhx0diiLtMmTr+XaPsUKEouwrKDpX5O/dBKpUaFcUNNKgnVvMKcNH++/L5Ou2/T/xVgnNHyx1wRAOTuW9uTVkz6ipaoOxQoepSExiG6VVBIYZhcDm/zi4Tj4R0Fyo03Vd1w/IxbqaQWs1of25rVkCltO+Ahts5U3ZonruhyoLUf+rTkW6U8WchwhN9EDrIu8vPsfeHc/Y7INIv5By4jF3rz+Kq+4Yjeri/ow+nX+FuaCDq4zEhtZqBSASIeviN7P42D3mHy5GYHoyZtw/t0dfuCbu/Pouzh8ox5uoYjL4qxtGHQ/oQbjCh+nITwhJ9UHelBQd+zgcAJIwRLnBM7MxMGuh3LxwBAIQO8sbl83WYc1cSwgf7aH8vEovQUNWKjf89iRGzIjF0Ymi3Hq6+/GMV2L5OU0LDJ8QN1z6YCldPORiGoaVtpNeglthPuXnJrX8Qpx/KBoEUHSqse3QfTu8pNbi7uWwlU9QqBkXZVWhp6LDqcba8pjGXztZg5/pctLcqAWgKdp/ZV4qGqla7v5YlGDWD1kbrPhdiP39/mWPy96XnarHvh3OoutSEqkuaJWLFp6tRcKISANBqRZumwrh9k1rNoL7S+PkhZ/9lHPr9gvbvu2v9WQDAlo+ye+T4BhJuppAly6Z3rs/FT/93rNdlbnW0KfHVmgPY8Znp8093yDusyXjIO9I/Mx/OHtK8r8wtxQ4+EtIdDv6ajx2fdU+heTVv11zN/7mbpnA3eCHdx9K/LJvNdfZQGT9TSCzC2cPlqLvSgl1fn0VHm9L+Bwmg4EQlfnkj06B/cC7jivbftWXNyNpegl/+nYlvnjvc665FZOCioFAfZe7a11RnXQ0ggD8jwl7oGkwMfGyJz+QdKcem90/h+5eOdOnxJ/++aLfU3T/ePYHcA2U4trkIAJC5tQi7v8nDdy927dhstfnDbHz2+H6UF9QDABqqW3kDH9K9JDKJ9t+MmsGWD7O12T9Nte34/e0snNp1CT+8fBQ/vJyBC8c1Sx+3fJiN1ibLA0IXsiqw7tF9vB39SO9RkFWJ91ftRM6Bywa/+/uLHHz9zCGcPSxcfHTX12dxfGsxKor16kpRDNDuuJlClny+uQfKUFHUgEtna7vvoLogP7MCzfUdOM8ZPNhDW7MCRzYUWFSzr79z9BIS0j2ytpfg3NErqLrUZP7OVmJ4Ncs0/+aWU+iu4AKgCXAc/bOwSzVCu0tXAhi7vj6LP98/advyTSsf6uwmM+g3Xzpbo/33xZwa/YfYxZYPs1FeUI/d35zV3qZSqVF0qop/RxFwpbABDVVtqC1rAQAoFSpcKaJlrsRxKCjUV5mJCuXsMxzImH9O3T/ZTCGhmRf2AmXLpMyFrM6sikbO+lpOf+3Urkv4/Z3j6GhT8k6QaiWDmsvN2P/TeaMzqiqlGgpObYSMTYU4urHA7DE11WqWr7GDBXZZW09jLx7Zey4hZ/9lrP/XIRz67QJKz9Viw3+yUHelxSHHBQBVlxrx9xc5aKzpv7v8KNqUqC5tglqlRkVxIwpOVCJ7l6bW0JdrDhjcf+vHp7X/bmuyfL341o9Oo71FafGOfqRnsVk9bJYP17mjmoE7G0jm4nbg25v57cHSU2Zbs8LsrLe1Hcfa8mZ8ueYATu+xvW5Wb2JtphCr13W8u+lw9v1wDsc2F+H7l492zws42OXzdfjrixyLsmu7GhTKPXgZl8/3riAi0eCeJ81tcNIV+plCDMPwXrOjrfvqcP321nFk/FmInH2GmfrdpepSEy6eFQ6Y7Pr6LD59ZJ9VG8+oVGrk7L+M4uxq1JSZD0w31bYZXPuqLjUic6t1WX55R8rx+ztZ2p+vFDWgLL9e+/PWj093aw21Ns61//K5OoPfy511k4/sNWzrR6fx8/8dw8mdF+12HB1tygGdkd7RpqQJEStQUKiP6o6vODfVks0UEto63h7pstUCMzpiTh2FfT+cQ2leHbJ3X4Kac0I7sqEAl/J0nTOhk92XTx3Epw/vhVKhQktDB45uLETGpiKDGZ2LOTXI3q0bIEllnV8HE/3G1sYOtFyWmvwMGqpaeReErpLKJNj9bR4AzQ4Yv7+dhYu5tdj26WmjjzF18le0q/DDK0dx6LcLXT6mH17JwNnD5dj2ifFj6CvqKoSz4Jpq2/H9S0fxwerdvIuzJdlavWlGj3Q/odovCs55xqA1WNA5u1LUgHWP7sO2j41/x5ovSvHFk4d4hU/N2fX1WTTVtmPPd+f6VSeRmylkTaBH/yNwdAq/2SAgw6C+ssXqvx2bcdodA+be4Le3jiPvcDn2/3Te7H27EhQqL6jHzq/O4re3sszfmfQ43u6D3dAz5l7TL+XVYt2j+7TLLQH0SHH27t7JVNGuwvmMK2hvVeKHl49iw7snBAfSOfsvQ9muQrYVEwsdrZzrYee569CvBajNcdLcxvl8T/59EV+uOYijfxbyHvPDyxnI4NxmqXpOH6+23HAy9dvnj6C+snsmWbk1WoXO2TJnXUlf9hpWfFqTNX7KyIYnLQ0dyNxaZFB2oyi7CvmZFQb3ry1vxicP7cWOzlpGfRnDMBaVG2EYBkc2FOBClubz+PN/J/Ht80e018GK4gbs/S7P4jFa5tYiZO++1K0Zgb0JBYX6qm7o33EvfkqF8UwhpUKF7N2X8Nfn9q19ILT7maJNxUvfBTQBI5b+IECtUqO1oQNqlabmB/ck8vvbWbw6QRveO4G93+uei102ZKrI5x9vn0TNSRdkbReO5DfVtmH904ew7tF9Rp/DUlKZWHAQ2VQjPEvTUN2KL548gGObhS+eeYfLUHWxCce32VBXofNwqkutS9PWn10zRq1memwG/+Tf5mdjuEs5lBYEQwWDqEo1jmwsQNmFesNfdjOmBz/P3qKhqlVb68lejLVdoVMFd+Z455e5vMCzqa9AY00bcg5cRlbn95PNphRSe9oFijYVtnxoeY2i9hZdp6Y7llk4CjdYK/T9q7vSAkW7SrP7Czfbg/PHKC+ox8f377Ht3Ggjc6fH7N2X8PUzh3Hgl3ze7ZpZ9CKjExXWFjFVqxn8/WUOr932BY3V5rNXBXdRNcPaax2xTHN9O/54N0twMGsN3kRMN1zquP3PkjPVaG9RImtHifDr28G5jHKDvklHe/cGnvb9eA7b153Bto911xNuVo0+/T65Ke3NuuuOskONjlYlsneVorlYjprLzfj8yf3aPj0b2D22qUj7mIu59lnmdYLzN2M11rTxMr0t1d6qNMhMVHZoln6xTO3mDPD7FMc2F/HeZ2NNm2AgcMuHp3D49wJ8/sR+nPhL834YNYNN75/Ctk9Oo1mvbAjbjs4fq7A4qJGz/zI2rT3FW23hKNWlTdj7/Tm0NHRgz3fn8PkT+1Fgol8EAEXZ1Ti2uQhbP9L8Xdl2/Of7J/Hn/07ip9eOIXtPKY5sML96RK1S4/DvBdj7/bkBUzuMgkJ9VjfMiHA619pMIYGXUXaoecEUexEZaY2mLroqvYsTd+AuFot40eDKkkaTgSyp3PzXgd0hrTibXwemvrIVVwobeBcFW0nlEsG/sv5sWHlBPdqaFDi6oRAtDR04sqEQzXXtvBmajlYl9nxnx7+Zlc1vy4fZ+P6loyZ3sVOp1Pj+xSP45d+ZFgWQOtqUJrf3LMiqRMamQrtlRXA/T2P0AzBF2VXI2lGCY5uK8Ou/M+1yHPoaa9pQc1k3q1dT1oxzGeVQqxn88MpR/Pz6Md5noFSocOCXfKuyTPqS9U8fwg8vZ6C53ooUd4F26eHrrP03G+hpqG7Fpvd1y/30O36MmsGZvbpU/5aGDoNzpbHj+um1DOxaf9ZkMMjguPWyWxhGU8BfKL2f2ynsTx0ctUDND1ZFcQO+ee4wfnkjEwUnKnnZHty77v4mD2o1Y1MWpa3MBW/3/agZMJ38iz9g/OHlDBz+vQCndgkHcSzZyIw7q114shJnD5Vj7/fnUHCi0iAoInQ+rSxpxO/vZFl9/au+3IQ/3s1CWX6dVY8TIpaaf6P6mUKtjR04+Eu+yeUF3bk8CBA+9wwEWdtLcOlsrc1Zx9bstMuoGc3ScDsuMzX2+9N7S5G13TAQYc6OdTnY/9N5XptUWBAU6ko/h1EzOL3nEnIPaGrjXczVBc3bTfR31Fa8Vi2n3EFlSSPvmnV6z2W0NioEz11sUJpXYqIbCGUQqVVqk5/npw/vxWeP7+ddU7d9oln6xeJOLosElh9wr8ElZ6qx4T8neL//5Q3D/mJ5ge78yu5+x/08i/XqU3JLYHzy0F6Ty9KUHSpseO8Edn19FkWnqpArUEuxpaEDP72WgYO/5vfIZjjfv3QU2bsvYdfXZ7X9qsOcYE7N5Wb8+f5JXgCNW16DG/Brb1ZqM7EA4dUq+trYgKYIcHIdGJu1U1Coj+qO7H/e8jGlGg3VrdotFLm6K13WWIaOqU6TfoeAe6IVS0QGO0GVXag3mrEhlYlx6PcLgoPlhqpW3gVAIuN/db5+5hB+fv0YGiptq7XDvRBJ5WLB4Et7s26NcElONX55Q7ODAbej88U/D+DzJ/drfzY1G8eoGeQeLLNovbf2MRbfU6PwZBVqLjfjSqHx2aeay82oLW/BlcIGsx09hmHwyUN78ekj+4y2xy0fZePoxkK7zTQd+cP8zIL+IH3T+6d4j9v1VR4UjbaddtuaFLxO4ldPHcR3Lx7RXqS/e+EIdqzLwZm9pagubUZFcSMUnIHNiR0lOLGjBL+9dRznj10xmF1y9NIiS+rpWEKosyek4EQlPvzHbnz6yF7t66qUat7n0lzXjurLTVj/r0Mo4gSE9U9Z2XtKzdY++OLJA4KZOl3p/Op/Ty4cr8Sm90/hq6d0ta+KsqtQWdKIDk6mkLHvV2VJIy/AyFWWX4cTf5VYnHbd0aa0qvaEJWrKmnHy74u8awKv5kfn36+ptg1lF+q1OwJWlzZpZw6596261Iim2nZ+XZLO52tp6MD+n84bnBfPHirDod/y7f49Mft0Zn5fc1m4k2vJkinufbjtng3mA5rrxK9vZuKPd08YvPc/3s1CaV6t4EDGlK0fncals7X49c3jVj1OCJsFVHWpCQ3VwkuD9bOmdn+bh6wdJSaPW9HNhYQ/fmiPdtZfiKPPx0JU7SLbM2Ts9LZ4mYJmnvPYliJ8/9JRHLBgqaH2+c28T7WKweYPTuHb5w/jSlEDlB0q/PhqBvZ8m4eDv+YbTAKYOn9y/9bczE6FmcCkSqnGdy8cweYPTpm8H9eh3y/g6+cOG50sZI/lYm6NQdDUmuzjzWt1x7T3+3NobdC9f7GJbBp2MqW7M53VeuOLptp2fP7EAWx87wSaats1E2xGlhYXn67Gj69m4EJWBa9fAGgmuduaFZr2I/A2zdUsVSnV+OAfu8xm+HCXBe9af5YXINHvG+//0Xi7P7P/Mq/4ttDxZfxZiIriRmRtL8Fnj+9HWX4dfn79mF0nw4XwinRzviN//jcbxdnV+O0t3fWD2ze+cNz4uMeSYDxbI9TJVWp1xm1fNTDeZX/U3UEhhRo71uUI7j5myTKarjCWbsm9iOjb820eyvLrsPG/J1B1qYl3bD/93zHs+tqwSKyxjI3MLcU4LjCgqylrxvqnD+Hb53W7kRlLQy+7UKf9d1c6Tdzjl8olRu93prOQeOEJzclSqKPBPambSmUtPFWFnV/l4rsXNO+vvUWBnP2XDZ6Tu85bpVCjotiyCwH3c+DW/2hp6OAF8ZSck7m5wCO3rXKLXmvXC3MKPluyrMASpRZk1uh3MPSdz6hAxRHXLh9DW7MC6x7bh/XPHALA70TqFyCv4HQO/v4yV7ukqqZMd7/tn57h7bLHMAw2vndCs2W3lTPYFcUNKMmpRluzAlcKjbcNtpOjVKgMBjyl5zQ1G7qa1cYbIKgY5B0p5x2LWs2g9Fwtr+PALsFqb1Hi7KFyVJc2YcN/TvDabX1lK75/UaBQr15UKM/IbmT6Tu8ttUtnVz+4wxYIZT/W2vJmbHr/FH58NYOX8SB0bmpvVeLHVzPw3YtHDDPeTlXh1zeP48DP+RYvG17/9CF8ueYAfnotw241Mb574Qj2/3SeN+PJPVZ2+diXaw7i139nGgQ8ueorWvHDyxn4cs0B3nP88rpmtveHV47i5N8XtTOyrL+/zMXxbSW8WVtrCc1EXykyDJg317ejub7domuJzFmKY1uKsPe7PKhUamz9+DSyd1+yqDPLDQoZy0qoq2hBWX49SvNqDe7DDmAZtWXLhFnGgjddIZaI0VTbjh9ePor1/zpk5D787ys7QcQdgOvjfm8YhoFSoeId9/4fz+Ng55K+8oJ6q5au7vr6LNRKxqCNsVRKNX54JaNLS1wscfFsDeoqjAfP1WoGOfsvI+9IuTZTtuR0Dcp2uuPI75bXeFGr1CjLr+Nd7+UunF0+uxj4Unao8PXTur812/5y9l/GlcIG1FW0YON7J1B6TpMBc3Sj5piNZdUJHruZ717JmWoUnqxCbXkLfv6/Yzh39ArvfMd9z3lHyrHu0X3I3Fok/DGQuAgAAFfnSURBVFpG6n6ZyxSqvNiI2vIWFJ6ssqj2YUNVK45vLTa5u3BTbTuuFDVgw39O4Nvnj/B2VrVm+Zi+ek4JBxHn+yi0nIdhmG6v06jf9Ng+zMXcWnz3wmHsWJeD03svc+6ve8D2T8+gsqTRYMIB0FxfPn9iP7Z+lC2YiahUmJ9cVysZZG0vwfljVwQz1UvOVBv007hFwhUmAk8qpRpZ20u0kx76/Ueh8Yd+9tivbx7HlcIG/NFZ0LuloQOn95bit7eO4493s0x+r8/sKzXcka2TWmi3tk7cp2T7+ez3I3v3JYtrT1UUN2LPt3kmA/JtzZo27+wms+g5+4OBkQ/VD3XHaZI7wFAq1UZ3uequXbmMLR9rbjDesT+fcUVb98XZrRijr4rR/o67ltkW7Jbh3AEGN1OIe9HnB0DUEBsJ7OTsv4yMTYW4anUKmmrbcHpvKabdMpiXLSWVGe/MH91YgKTJYYKz5EIkJlLruZkB1aVNmoCAQo1zGeVY+HAaOtqUkDtLDU62P712DKs/nG70eVnci5ZKqYZazaClvh1frjkIvzB3LH1mDAD+Been147h2odHwMPXGSqFGpfP1yFkkBeknXWfhAaCKpUaP72mGdC1mcmK6MruaaYGDtr3pzD/zWQUIhz61bADVHelBR7+zpBIxNqAHHsxyj1YhuPbipGYHgQAaG3oQGtTB+ROulO4fueJOwAqOFGJwlNVuG/tNINeEPu+Who6oOxQaVPIS85UIyYlwOA4Wxo6UH6hHqXnauHh54zUmZFQdqi0nz1EABhg4SMjEJbgw3tsxiZN0fepNydi9zd5GDYpFGMWxGDbJ6cxZEKoNkX4zN5STL0pUfu4tiYFsnYUI3FsCHxD3JC5tQiXz9Vh/n3DeQFabhH6soJ6bZtl22nW9mIc/r0AkUN9cfUDqQbvbedXuQa3AfzZTq7qS00oyKpE7AjN58QuLzWnOLsKazvf67RbBmPoxFCLHqdPP3hTo7fUp95IMfX6ihac2VeKcQvj4O7rjIaqVt5znT92BY01bRg8NgRu3k7I3qNbEsdNweba/9N5iMQiTFgcD0bNaDtsFcWN+OPdLNz59uQuvUchbKBPf9DAMAwvW89U4KaCM7vJ/UpUFDeipqwZLfWaDiG3ECmv7l4XM2bZWX0PP2csuD8FVSVNCIjywLkjuvplDMOgvVmJL548AFcvudH2wT3ny5wk2qxEqVyCC8crcOF4BQKjPQUfm7mlGO7eLgD4gY8TOwyXGBz8JR9RyX7an01lcn7/0lHc8NRoSKRiMAwjXIy9Q4VLuTUWFb/e+VUuWho7cNV9w03W+2usaTNb/0csEaGhuhXnM64gaUo4JEayqFqbOiCVSSBzkvALx6sZ/PFOFsoLGjB2YSxyD5ShvnNgPWxymDbj6K53J0MiFePk3xcROcwX/uEevOdvb1VCJhebXbJeXdqE6kua/7avO4OASA+MmBVpcL/ygnp4+DnDzcvJ5PNxVZY0YsO7JwDA6HU8/9gV3sTauEVx2iWW2btKMflG3Tma+7dm1AyUSjVknf2fo38WInNLMQaPDcaMFUMBAFInXd+orUmB6svNCIn3gsRMELO2vBkevs6QyiUoyq7mB7tValzMrdEec2CUByqKG1GSU4NJNw6y6HPRZy4A0tHKPw/U6wVauOeWv7/QBNQP/14AnyA3RA/34wVtqznZftzt0ytLGvHVUweRfk0MEseGGByDjPNZtjYpTLYDtZoxuTSMlb3rEq9vyJ0M4L5HZYcK+344h+iUAMQM9zd4HjcvOZrrdQElbtCK+3UW3MlT2bM1ERuqWnm7jbJta98P5+Du7YTYEQEWr9Jg65kWnqxC4UnDAIexYtL62M8lYoiPwe82/vckJiyJ593m7q372xu7Rik6VPj4gT0AgKObCjF+URxO7+HvcCd4bjLy5tmgzO/vZKGWk1nbXNcOdx9nMGoGzfUdcPfRHFt1aRN2f6PZROe+D6YZnNezdpTg8O/Cmfmm2oO1ZU1Od/bBUmcanlMBzXcJAFzcKShEertuSCnWrylkLEij7Kaid2wqqf6XvqXesrWrF8/WYsRs4S+3PmtmpoQi5tyBKHcWh3txbqxqw6HfLyB0kDevI6fsUGk7LT9wtgne9P4pTLxe13ExVS+ntVGBnetzeUtO8o8ZpkqyHTX92eKi7CpcPl+HsQvj4OKhO+GxSwUAoDSvDmf2lWL3N3mYeftQweM48VcJ74Sad7gMJ/6+iLl3J8MrwAWVJY3Y810e7z16BbogeUo4AM3FgT1GbmZSfWUrfnj5KO58ezKO/lmA49tKMHRCCKbdOgSA3pKRzhDp9k91Sx15M3V6MynnjpZjx2fWF0m3pKaQ0sLsmuxd/AvwRw/shrJDjbg0Tcfqry80wYl7358KsUSsDVYc2aALzH3++H4semyk9me1ij9Lr3+hZb9XrU2G7aq5rh2/vpnJ67zp36/mcjNEYvAy5tjHnuDWOek8hJIzNQZBIXamlu14nd5TCmW7CqXn6lB6rs7oAPbgb/nIPVCG49tKsPrD6doOw/ljV5AwJhjKDhXamhTY+J6u3g93FrSxpg0u7jLt40o606TtUVdpy0fZuPu9KehoVVq8tIq7rCpjU6HRQf+Vwga0NnUgOtmws63v8vk6XhDkYm6N0VlWtkOWf6wCyVPDkb37EtLm6L7H7Pcj92AZbnlxnNG6NHUVLdj2yWkkjAnWFrUcNT/aoDPKDaiW5dfBxVMO70BdxhzDMNj8QTbAMJh/73BkbC5Cxp+FSJkRgcKTlZh0YwLvMyjIqsSFrArs+TYPIXHe2ttVSoaXJWhsYkPzmrp/639ObNYkAPgEu2n/zT0HmAraC1GrGYjFIlSWNKK+shX1lZoBSN7hcqTNjeLd98Av+drPp6W+g1d4lVVb3swL+nH/Rk2cCQyhJRrKZhEy9wrPkAq14awdJYgY4qv92VQWYc3lZpw7egUn/76I6tImDB4fghnLh6DsQr32eiGUrbvp/ZOQOUvRUNWKYZPCMGR8CNQqNXIParLvasqa4RfqznsM9+9RfakJZw/pMvV+ei0DE68fhJB4b+1tYokYf/73JGrLW1BzuVlweWNDVSu+e/EIvINcceO/xvCK/KpUjPY7pj9o+foZXcZK7oEyKNqVOLKhEId+u4DVH06Hol2FQ7/mIzLJD5ve1wSZ3X11A7iyC/UIifPiPSd38omdABs6IQQqJQNXTzkAoLywHr+8kQmJVIxV/5tq8H6EKBUqZG3XZUXXVbQg73A5UmZEaCciGqpbtedJFrfmloun5n4Mw2Djf0+io1WJ6x4fCbFYhG2fnkZxdjUSxgQhcWwIjm/TtLWzh8vh4ilHdWkzb5C7+YNslBfUI21OJMYt4g9yuSpLGvHjqxkAgDFXx/DOIYDm78P9znMnf/b9YLh05vTeUrh5O/GCGZUXG1GQVYljm4sw5uoYs5kqjbX8iQD9c46x5W1bPtJkqM65KwnxIwMBQDexAv61nn0vf32RKxgU4s4S15Q1Gw0K7frmLAqyKjF9+RDjb4ijlDPJUnJG1xZKcmqQe7AMQ8aHYNunZ1B0qgo5B8oEg4uhCT68DTu4AWVzhd+VSnW3lMrQt/+n8xg5LwrbPjUsl8Ha8lE2rnkgFaEJ3t1/QAK49Z649LMMd3yWA6lMgphUf8Gg0Im/SniPUbarBIMpQkEhU3+Ks4fLeAEhQJNhPGxyGHZ9c1Zbt2rpM2N44wxFuwpyZ34oIo8zQaKvvrJVs3GE3iXIlmW2apUaig41Dv58HoPGBEOlUKPgZCV8O6/9zu7yLj93X0NBoT6qO86TGZyOp0qhNjort+G9E93w6ppAx/urdvJuq69qRZGRmWmDxzd04IeXMyy6ryU7TwHAF0/uR7RAtkRxdjUqSxrRUNUKJyOphb+/cxytjQoUnapC8pQwSOUSXDpbgz86Z+f0VZY08tbG6ncK9LEnWVMYNQORRGSQKcR2SitLGhEUIzwQB3SDR2NLRg78nI+UGREoyq6GX6ibNphxbFMhZqwYil//nWmw3LC+opW3ffCe785h6k2JvMEcoBtIHu8s1phzoAxDJ4aho13J62Sc2XsZaXMiebsScLO3uIGzjjZllwJClupqAV82++7C8UpcOK57H9s+OaOti6KPYcCr0aRWMbzXF/r21l1pwaWzhp2LvCPlBlkuijbN8q7cg2Vg1Iy2Leg78Zfwd8nJjX95Mbad6FnO9r7cDnRteTO8g1yhUqp5bZ178f/7i1z83dnmojmZDAA/Pfurpw7C098Z+qypwWDKV08dNGi/ljJVd+fnzqVMcmcJOtpUGD49HGMXxRjc7/TeUuz5lv/32f1tnsnlASy2oCc7cOOqr2jVzFgbCQqd3l2KqotNqLqo62T+8voxwSByY00b1Cq1tn4MdwChaFdp08VP7y3VZnix5+lN758yGHCwKfvc78emtSex+PGRsATve2WiQ8kGQHZ+lYu8I7q2+vs7Wbj3/Wna9+bm7QSxWISm2nZ8ueYAwhK9MWxSGDL+LERIvDfOZVzBwodH8Ab67NbW+suW9YtJ62trVhgEZ7kZvLzzgNCEr9r6rdmrOFk4KqVa8/0MdBXcnnrfj+e0dVDOHiyDq4dM276M7R7DrclxpbABQ8aH8ALTVSWNhkEhvXob3Np5FcWN+PXN47jx6TG62zjZYeeO8gceKoUaVZeatN+5qotN+PP9k7xNJSwtarxfr2YNwzA4ufMisveU8rLuuDuJ/vrvTNzy0lh4BegCHUKv992LR9Fc146Vb02Cs5tMWwdEKFDHMAwKsioRGO3JK5y/86uzOM+ZRPrxlQwo2lVob1Fi9FXROHf0isF70Ofm5YTTe0sRHOulPYam2jZ4+rlor2E5B8qQc6BMe/4CoC2+XMIpistuF52146JBUEjRoULVxSZUljTwAjtHNxYanGfamhQWFVYHgMvna7XnzNUfTkdbkwIFJyt5mSLsJIYp+u2ZuzwK0NQg8w1xg9pI12DbJ6cRP3J6l3a5Ky+o12xIwglcbXj3BAaPD8HkGxOgVqkhc5Kg9koLfEPckNNZdkA/K6Qrdn6Vi6BoT94yn0t5tQhP9IGyQwWxVAyxWGSwpJ57bjr5l+lsGZVCbdFyOFud/PsiTv590Wzm3ob3TuC218Z3+/HYastH2XDzdhJcPm1sqaq+Hety4Onngh2fncH46+Lh5u1ksu4h2w/j2vPdORSequIFFPXr1J78+yJaGzoQkxqgnXgw9x3+/LGDAPjZl5ZM2hqjVKhx5I8C7flKn7PbwAmV9Ip3unbtWvz73/9GWVkZhg0bhnfffReTJk0yev89e/bgkUcewZkzZxAaGoonnngCq1at6sEj7gW6OXquUqrNbqnYE4SyX+zB0hNjc30HbzchLnbGiot7vNwT6NGNhSg6XW0QSe9uKhWD7N0XUWNkd5VLZ2sFgwTWWHvvLoPb2LXiltSfOrO3VFMkVaBNKztU8Aly1RYNZjvsXNm7Lxlsn8ydITy+rRjjFsWhtrzZYCBlb7bupKLPWECIxU3v3rT2FFJnRmh/FjpFfPPcYcHnEdqVYv9P53GlqIEXgLOGk4vu8qJSqPH5E/tN3Fuj6qKuY/zt80c0yzf0MhONddT1Cz3qF3PWD3opFSq77cLV1YAQy9xxsAOqUzsvwTvYhfe7718+KriThiUBIUsc+CWfl5IOaIISEplYsN3UlrfwAn2sr546iLQ5uoyYloYObbYD9/1zsz2s1d6s1O0YYgVTy/4u5tTgh1eO8tomoBmwH99WDP8Id2x87yTiRgRg7j3J+KtziUhpXh1K8+oA6Iqe//x/x7Qp9LZY9+g+g9tam3VBV+55g7uM9P1VO3H7m+Oh7kL/ma2bA2gyRvKPVWDswljBNH/9wrhCAUdzcg+W8ZZz/vVFLuJHBSE/swJyFynEYhF2f2tYM1AfNxvXlKa6doPri/4uo11dMpixqciiWhdfP3MYkcN84enngugUf8GgEDvQu3y+DrGpAUYDVUXZVdrJHydXKVa+OQkQaTJI9c/p7Dm26lIjvnn+sEVL76suNhkEoqtLm+Hp52JwX5mz1KJd3Bg1g7zDZYhM8sNnj+1H9HB/iEQQXH4DGE5WHfrtAm8gbHQQKwJvJ8JTuy4KZhJ1hf652NK2z82eMIXNOGyub9cuV1zy5Cjefc4eLMPZg/zzKDcLveSMZROt5nDrEQLAH+9kYebtQ/HX5znwC3PHjf8abbBDsCU7qbFUSnW3lasQYslrfbnmYA8cie1M1dOzFNu+bKlpxg0IATDYyILtz2XvKYV3kCvm3JXUpdfpSkkIVluTwmAMwUWZQj3ohx9+wEMPPYS1a9diwoQJ+OijjzBv3jzk5OQgMtJwKVBhYSHmz5+Pu+66C19//TUOHDiA++67DwEBAVi8eLED3oGDdHNQSKlQ2+WkQjSydljfKbaH/GMVZmf8ukPuwTJtSrQlyvKFdyU78Eu+VVvOGlOaVyu441Nfl8vp+DFqhrcFrjXLPI0t0exqQAjQzXIzagYHf7MsCKtPqAMpVHtAiLF6OqyP7t/TlUPqFh3tlo/S937L/z5bsrWqLaouNsHVkx/IWPfoPgREehh5hKYehZDj23QZMds/PY22ZgUih/kheWq49nZjGWU5AlvkCjEWxLeFfkCIdei3C3D10nQYL3QuOTE342/vHdlYxgKTbGCKVXy6GozStgkfdvLDWN0HexCq77X7m7M4e8gw4GgP3BouxlzMMX8fIZYWPwV0g6jTZtrxyb8vouhUFeSc4Pv7q3Zi+vIhaK5r42Uat7co8dnj++Ed5IIJS4zX1nH1lBu9Flti89pTWPX+VIPbrelL/sXJODBWbNYYi19Hr0thr4BQT2iua4eHrzMvIGNJ0eKe6geygbrq0iZ89+IRXoYaYPn1G9BMFii6abfj7iYSi3q0HlJ/UHelBZs/OMUrw2EpS1eJCDF3fh5INYVEjIP3u0xPT0daWho++OAD7W1DhgzBwoUL8dprrxnc/8knn8SGDRuQm6u7cKxatQonT57EoUPCO07oa2hogJeXF+rr6+HpaXzpTG9WklPNq59hb/EjA01uY04I6d28g1xN1lTpbv4R7ph0QwIO/3HBpoHGQKC/zp4Qazm5Si0qhj/7ziE4duw4ak4YZnSQgU0ksr1cZdqcKF7wl5h3+xsTLcqkBYBFj45A6CAfg1ILvVVApEeXd59c/ORI5GdUCGakkv7LN9TNIKOoW3VujmJM+jUxGDXfcNl+X2FNzMOhmUIdHR3IzMzEP//5T97ts2fPxsGDwil6hw4dwuzZs3m3zZkzB+vWrYNCoYBMZhjRa29vR3u7bgahoUGzrlyhUEChsC3t31GUyu6NnhvbYYYQ0jc4MiAEaLIruDWyiHEUECK2siQgBADbP82Fe7T1M7Gk/7PHFDEFhKyXe9Dy7Mbf3spC8rSwbjwa++pqQAgAfnndsCA96f96NCAEwC/MDdWXjL+mmmH6bKwAgFXH7tCgUFVVFVQqFYKCgni3BwUFobxcOEW4vLxc8P5KpRJVVVUICTGszP/aa6/hhRdeMLh9+/btcHV1Nbi9L2irlADovmO3Zt1vXyL3UaKj1uGrJgnpFVyCFWgtHzipsYQQoKlo4NRIIKS3O/y75csLAcPdSwkhXWcqIAQApS3ZKNuc3UNHY38tLZZPEPeK0bHB1smdW1Rbc3+h21lr1qzBI488ov25oaEBERERmD17dt9dPnamBluPGd8+sb8JivXEFc52y13l4eaF6tqejUKz5q4ahq0f9p6/Wdhgb5SerbPb84klIkQO80XRKcoy64qUmeFmd+Owt6iYCJw1EoB3lJSZ4Sg6WY36zkLJ8aMCkH/MdMFtLp8QV9SWOTZLqrsMGhOI80dpWe9ANWxKKM7ssay2UndydpfZXFzdUtHD/eiaQgjp00ITvHD5HC2j72t8Q12xYKHxja/6AnZ1lCVM77/Xzfz9/SGRSAyygioqKgyygVjBwcGC95dKpfDz8xN8jJOTEzw9PXn/AYBMJuuz/0kkAyv9m7FDsWEAUCm6v4SW/k4QAHDzC2MRGu9jl+dPm2NYgL0rxl4bB2dOATV3Hye4efFnkAePC7b4+e55bwrm3zvc5uMaMSsSV9+fYvPzzLhtCDz8DLch760mLklASLyXRfcdOTfK/J066Rd65HJy6XqW0F3vTu7S47iFUX1D3Xi/u/mFsZi4JAG3vDQO1zyQipSZEZi5YphVzy+WOPSy1q1k8u6fx9Fvg7NWGm4v3xXz7xsOv3B383fsRaKS/DDt1sF2ez7986u1IgcL93F6WsJo4f5Zd5BI+1Zf56bn0+32XGlzohAUY/nE5fTl9murRl/jtkS7Pt/QSaFW3X/swli7vr4jjb4q2tGHYNKEJfGOPoRe4dZXxtn8HC5ulJ3JFT3cn/ezuW3oHUUqkzh8vG+P/yzl0N6zXC7HyJEjsWPHDt7tO3bswPjx4wUfM27cOIP7b9++HaNGjbLqjZO+pa3ZulnJ1R9OF7y9K1vKLrg/BSvfmgSpzLKvS1CMJyRSzX1FYhGGTQqFV6CL9jYASL8mtusDBL2z57DJXVtfLnOSYMVrExA3IgDJU8Jw6yvjcdv/TdD+Pnq4P2bcJjwgHDmPH5TwDXWDWCKGSCTC7DutG8TrG7swFjJnw8Evd4ciLp8QN8HbE9KDeVtg9wX6F0quuXdrtuocOiEEMmfhgZLQdtfewd2zzFQm79pg7fo1uqDpxCWDMPXmRIy/Lh5LnhwF7yDdsUYM9cXEJYN43xshcWn8Xe7EYhGCYy0LrvU15j4LS/iYaQ9z7kzCsud0A1tjf+fB4zVLtdOviUH6NTEIjPbEXe9Oxsq3DGfVlj2bjuhkP1z/z1EWDzRSZ0Zg6TNjLLovAMSk+GP4NOFzhJD4UYFmz8HTbhkMtdL4NsWD9IIj4xbFaf8tdL1wcrOtjyKWiAwCqfYw8QbjO1IJkcq7p+t46yvjEJsawLttxCzDSRAXD/Ofo3+EYwKQPsFukBs5PxvjqtcOxy2Kw+oPp2PcojjeJNNVq4fz2lzoIG/tv69+IAVDxofizncMg/VRSX6YeMMg3PHvidrvrTHcoD0rINIDcWkBSJsTiegUf0jddP0oFw+Z4N/I0t1HXaz4ToycG4WRc6MFr3Nc7Fb25oxbFIf0a2Nxw79G87ZstwW3b7TyrUkmg1hOrtadD5zcenZxR1RS7whC97Rx18Xxfvb0c4GzFe3UL8zw3NPUR3dzHjkvindds4f0a2INJjZtvTZ2F2kX+7l9lcOnVB955BF8+umn+Oyzz5Cbm4uHH34YJSUlWLVqFQDN0q/ly5dr779q1SoUFxfjkUceQW5uLj777DOsW7cOjz32mKPegmN0Q8JLYnowhlk5a8Pqrk4iy16p6l2pleTu7QRnNxnEEl0vw9yWictfHY9rHx6B+9ZOw9SbB0MkEkHuLMW8VcmYf28yRs2PxorXJ2LQKMu3bWfp93UkEhFC4gwHweYGxlKZBBKZGHPvScbkZYkQi0X8JZgmqk4yaiB5ShhkThKkXxODax5M1f7OSaBTaQ2xRCz42sYGAoPH8rOZnFyluO218RCLRRgyIQSLnxyJ5a8KB5l7Hb23ze1cBMV4YeVbkzD15sFGs2HUAhl1prZR1h+MmBI3QjdYc/dxgkjMb4nXPJiKuLRABMV44oanRiNpchhufXmcQbaWq6ccVz+QgglL4hE+xAfDJoVhxOxIq2bEubwC+M8vloh439X+YsTsSIiltr+vm54fa5D9kzQ5DPNWJWPVf6fCzZufMcj9O7NZRJ4BLpiyLAGLHktD2pwojJofg+v/OQpyZ6lB5zl1ViR8Q90gEokgkYqROtOyTMex18bBL8wds+7gH2v4YOGMS5FYhMhhlg9i5tyZhFkrdQHsmBR/XPvwCN7Pbt5OghMSKTMjcN/aaZi9kh8AT5sThatWD0dApAdm3WEYHOcGC1w8ZAYBTX361wexRIRFj6RhwT9S7DJ7zdK/foQP9jEZgBwxy3ywvSuDbDdPJ17Ae+VbkxAY7WEQ4Bk5N9rk8yz4Rwque3wkvAKs22EtKtmP1wasNaoz82PZc2MBGAYNjU1W+QTxA7URQ3x5P9/68jjc8NRoRCf7Y/bKYZh0YwKCYz0xb1Uy0q+Nxaj50drH6Lexax5MxYJ/pCBlegRcPOSYsXwI7vtgmmFHQvvaht8vkViEuXcnY9yieEhlYgRN0i3PTRgdrH3fXCPn8W8zNrD0CnRF8hTLJrZSZkQAAK5fMxpRSX4GmYd+Ye5Y+PAIzL83GbEjzPet5C5SjJoXjYAID1RfbrLoGLgCozwMbht7bRzu/s8U3PnOZDi7yTBybjTm3p2Epc+OMQiyyF34/UhTQfAZtw3BHW9MNLjdVJDY0olMY0wFrcwF5rhsnSjsaWmzDc9v1gRGZt4+FMueTcf8e5O1t/VE8eTuCIQPGR9qUXAwINLwu2DMiDmRCI71wq0v665h3PPWnLuSLHoeV8/uz76S2Pgd6msc/m5vvPFGvPvuu3jxxReRmpqKvXv3YvPmzYiK0nwpy8rKUFJSor1/TEwMNm/ejN27dyM1NRUvvfQS3nvvPSxevNhRb8EhumMR1LRbB8PN2/ITPZd3kPDsc3wXgh5COtrsU/h66IQuBL06O0/cjBSRmW+Oq6cc4YmGnavY1ADEpOgG1y2NHVYdiqe/s0FnTiQSQcHJgBo5NwqLnxxp9hjdvE2fUNm4jNAFQa1mMHlZIu56ZzJGzY+Bm5eu3QRGWz64H6I3a8l2YsQCAxIXd8MOSkyKv7amGOuWF8fB3UcTKJBIxAiO8epyu+4p7GBW/3vk6a8LeIglIji7ySASi9DRKrzTkFAWCLfz5hPsirn36C643kGumHt3EhY/OdLsMc69R9fBGTHbcGAfluCNuXcnYcmToxAQ6YEpNyXC09+FF1SYuWII5M5SRA71Q+rMSJO148zx9HeGh68zhk7kDyjEYhHGXN37tw+NSwvEjU+P1v7MHeAsuD8FgVEevKDA+OviIdELdiWOtWx5p34gJT4tkLc01NldhtjUAG0HSMoNenO+XslTwzH3niRc91gapDIJQuO9TS7XC4nzwoTFXVuCwB5LwphgXLVatyx1+vIhgvdn1AwkVgbNwhJ8cO/7U3HfB9Mw/97hCE/00Q70tANzThsdPDYYPsGuSJsdpW3XbPCE/e5FJ/vjhqdGIyjW8DzIzYBkGMNBob5pt/LfK8No/lZRSX7w9HPB9WtG4ZaXxlr8fo0FXvWzLV095XDxND4gdHaXGQQ8uBY/MVI7gDeGm+XCEks1312fEDdMWZagOd+JRLj+n/wl2aY+t1tfHoeoJD/I5BLc8pL5wBn3e+fkKkV4og9cLBhsLHoszeA2diLG3ccJqz+czgsasgF4ockN7iz5NQ+lGgywPP1deLcNnxaOxU+MgrObDKPmRSP9mljtuZR7Tp10Q4JBgIm9z1Wcpd7XPpSq/bdQlq5+oJd72lYzDOTOUoPAjlgiwozbdO03aUoYIocZHktInBcmL0vEqv9ORZKJ4NDSZ8fAxUPzGbp6yrHgHylY+rQuiOLqKcfSZ8YgLNEHIpEIU29ONDg/6i+H5wZNIodanxWjPzHCkjlJeJNjcWmB8At1h79eEEvmpLvP/HuTDTJMRl0VjRv+NRpLnxmDxLHBEEvEuIbztwKAhY+M4J0fg2M9Me3WwRi3KM7qrMJ5q5JxzQO653dylSIqWfhzWfZcukWBktUfTsegUcLnikWPp2Llm5MMJvbu+e8ULH3W8izRrlrwD02ZghkrdO3U2GdmLDtb8L5OYviGuvEmj6VmJpJtFTHUV3AiwhZLnx0DrwAXs5P+M1YMsWr5l6Szz+Dp74LYzsnGweNCsOAfKZh1x1BelqGxiXOpmwq3vJKOoRNMZz6aYkkyg62B1b6mV7zb++67D0VFRWhvb0dmZiYmT9alv37xxRfYvXs37/5TpkzB8ePH0d7ejsLCQm1W0YBij71DOWJHBNi0NIEbFGAteXKUYMS9q6xdSy60rCr9mlhcdd9wsynUXPLOTtKsO4YhKtkXAektghkZXdHaaF0G1Jy7kgwH0mJ+BtTYhXEIjvEyOuD2j3DHHW9OhFRm+iLFNrHZK4dh6ER+MM25M41ZqFPk7CbDitcn4M53JuPOt00XaNPvbC7p7PwHRnogJsUfYYne2t/JXXUdqKsfSMGq/07FvFXJBm3PWSB4JOYcp6kaO+ZYs8xCaBYRAGSe/ADnDU+NxrxVmkBNTIo/b3lNYJRuEMfNfmkWSEUePDZYcMA8b5UumBMS7404zgyqs7smWyE4RjirzNPITDsbCGBnpu58e5Lx4ADnXJU4tmsXcHbpHNfCR9Kw/NXxBtkAYokIYQk+WPnWJIyaH23wuJB4L7j7OHV52SWXLR0GvzA3+Ifz28iNT4/G/HuTETXMD9evGY1ZK4dh1PxozLxdky2j/xkby8bQH3DrXy7EEjFvaaj+d0bCeR21WvdgqUyMuBGBgud7LrbtDx4n/Pe+5aWxmHn7UNz5zmSLOnXc4zH2/VWrmC5dw9hlr6yZtw/FrJVDte0jeUoYQuK9MHlpAmasGIplz6XzZiiX/HMk4kcFGtRTE8om5S0rYszUyhNpnoMbWGhp4H/vA6M84RXADwSbytCJHGo4KAcMlwjGpgZg/HWa89DQCSG8cxKbFcKm/w8eGwynznPz1JsTsfKtSdrgCJt5LBSsFlpiIRKJ4OnngpueS0fSFN1SQG67d3KTQqXkf25sAHH5q+Ph6W9ZdtBNz6dj7t1JvEkPtsZaa4NusoZbp8cvzB2unnJMuSkRofHeWPnmJPiFuyNymC8mL00w+vkCuj7SdY+NRMrMCKx4XbdU28PPGeMXx2PSjQmIGGz8OSw1ekEMwhK8DZbicXGDltyMELleu5XIxJiyLMH4i3WeHyYv49caEotFCOucGHPzdoLMSYKr7081eLhXoAvndRIFB9/eQa7wCzWdBaHfJ3N2k2nbMGvYpDDtIBTgf0e5mbCWsrYfmDCGH/zgTmj5BBsGI9KvjkVAhAf8wty156iIwb6867KLuxzRybpl5xKZBEMnhCJtThRGL9BMjhgL7OiTSMUQcfoZEqkYV903HLe9NoE3sRA/KhByZynS5kTh7vemYPGTIzH/Pt35T+j1Zq0cyvuMJa5qBER6wNldxuvbAZosdnN/b3OSLLi+RyX5YfWH0zHYgn6JudUBXGy/mPu9MjZhET7YB3e/N0VwfLPkn6MsWioLAJNvTIB3oHWZkULYvv6UmxK1fwOvAFeTYyZjn19gtKfZwOTkpQm4avVwjJoXjagkP4PviFC/ctHjqQgcr8lWVCqML+8WEpXkh7n3JCFiqC+m3GS+Ppq5vk5/0yuCQsR6do4JIXGM5QWFhbi4ywxOahKZ2K6pdyPnRuPu96bAO8gVYQneFtzfMCAlkYkRPdxf24kFABdPOVa+NQm3vzGRl6kxY8UQTLoxQTsI8QpwwZy7h8HJV2W3z7+lwbpMocAoTwybFMYLcohEIiitWBa3YHUKXNzNz4QGRmsGdnIXKabdMhjzViVjxOxIxKUFYPh007PAbl5OcHKRGk0/HjErEq5ecqTM1D2PT7CrdqAgEosw/97hvIGrnDODyS59E4lESBgTpM1OEpp9Zt3+xkRMvH4QL0hiqZm3D8WNT48x2cnWJ7QMwSvQBZ7x/IFdQKSHNkAnEomQOjMSNz49BjNXDEH0cF3nihsUChZYLjhjxVDBARE3sMR2uGevHIbRV0Xzlo2wdSG4WTYzbxuChPQgbV0L9nOOSdF0Qq//5yjc/Z8pJtPM7fFdiUsLxF3vTuZlPRkLyLCBRmc3mWCAMDDaE7e9NgGJ6bpzHnem1RrXPNT1pSaMWu+DYQD/cA9eJqFIJEL6NbHaY+UGPeJHBwrWLkmaHIZFj6ZZNHM3fflgxKUFmFw2zH1NYzPj+q59aAQWPTrCIBOQ5RXgisT0YDi5SDHt1iG84C9gOIMXHOcFmZPEZIq6WqUWvN7c8K/RAvc2zifYDQmjg7XnWCdXGa57bKS2ppl+sN0/3ANz7kwyyPLjBloih/lh3qpk3meZMiOCF3DTd1XnIGvQ6CDtNSgswfxmBcnTwnnZpNwaM+ECWSNswIe9fg+bFIq4tEAMGhWEW18ehyk3D0bqzEis/nA67nxnMtKv1tzPL8wdd74zGdNvG4Jlz6Vj7j1JGDIhlBfon7wsEcueTcf1T41GWKK3NpgWluDNy2SdsizBbP0oNsskaXIY1CrdQOCq1cOx4v8m4OYXx1oc8J9yUyJ8gt0Ql8b/DulnIPmEuGHIeN13IyrJFyten6AdcDq7y7D06TG4+v5UJE8NN5n5yLZd7yBXTFwyiDfYkEjFGDEr0qqaWKaMWRCDhY+kmex/GTtWZ3cZ3H11x7bqv1NNBtqMNWGxRAQPX2fc8tI4LHlypNHX079d6LzuZ0HGC7dNaJ+Lcx5JvyYWwbFemHt3kibQG+fFq+EnEot479sSapUak240ETDT4xvqhts5S8AYNYObnk/HwodHGM22FzJ/VTKCY714GV4sL052cXSyP1a8PgEzBWpDCi3RYdQMQgd5I3ZEgLYItkgkgruPEy+TipuRIpNLEBzjhZjh/rj6gRQseXKU4MrEhNHBvGxjmZvu72VtbSVzVrw+QTDIct8H07q8+Yg1/RixmD9pBmgmANj+EzfQL3eWQiaXIGa4Yd/SJ9gVCemWjc0YhoFYIsayZ9MN3mPanCiT2Y9sPzx+VCCm3pSIW14aa9AnmLF8iNHlr8aEdF63ufQD525eTohO9jfatxAJlALwC3ODuHM4wGYPWmr49HDEjQjENQ+k8ibl9DPwtMdnxTLJ/qBXbElPHK+tRZOx0tXVHE6da6c7WpU4vk2z3E8ktn/qnUwuwbLn0iESAWvv3WX2vsaIOW9UJhdrO7KunnLUXdFEoE3NHsy+ayi2rD1tzaELik0NQM5+67YYdvdxwt3/mYIP798NABCLAUWHYYdI6G+ZOjPC7FKqpc+MQVF2FVL0Aj+xqQFWBUVMGb84HuOui+N1CPVTqwF+JhH3vtwAiVgixvX/HIXa8maT783VU46UGRForre+4J9ULoZ/uDuvtlXK9Aic3HnR6GPkemn49/x3ChiosXnzZrOv5x+uSTWvLtXVOeBmSwweGwyJVIy/Ps8x+Tz6Fzp2Flho6ce46+KQNCUMbt5OOLqxEICmSPWs23UdmMWPp0HRodamxoslYojNTKAZBD+6SO4sxcJHRuDrZw4DML7WOzpF19EXWnLIzn5xB4A+wW64482J+Oyx/bz7DpsUCkW7CrXlLagsaTR4rpA4L6z+cDrO7CvF7m/yBI/njn9PxGePa543LNEHpXm1ALoWLOPWFJp68yBN218zCrVlzfjri1wAQHvn0kLu83sHumhfl2vI+FDeoJdr/HXxqCxpQASnE2dpB0zuIkXoIMt3W5x+6xDs/f4casub0VDVZrDkTOYkwR1vTtTOGkrlYij1znkqpWGmUFiiD/zD3SGRiqEyUTC6O3A7ubGp/ohNDUDhiUrtbaPmR2Pbp8avIdzZ/2XPpaOtWWFR0EMsFsHJRYr2Fk07cHKRYvmr49FQ2YrQeG/efafdMlg7MzxybjTS5kTxzrP6wQD9enHsz25eTrwMRO6xsDPFCx9Og1qlRmleHYJiPbXnGEATNDOX4TP37mSUF9QjNMEbp3Ze0t7Ofk7GCsEOGhWI88cqtD8vejSNN3mQPDUch38v6Hw/ss7XSkLOgcuYdosm83LOXUnIP3YFI+dFW73kdf69ycg7XI7x1xkutYlLC8CF45UYNrFrtRxtwRuEiTQZYAVZlRg+LRyxqQHY/c1ZjLnGfHa2/vJt/ec3VddJqNZM4tgQnNhRAr9wd0y7eTBy9pdi7ELzy5SEAqzcASmbcSESiQyymlg3PjUGtVdaUJZfh0O/XTD/mioGw6eF48gfFywuccDNMmTUDHyC3QSzhEzxC3PH4if4S77n3zccZw+WYZxedpSblxM62gyXm8ePDERY4kSoFGp8ueag5v2oGYjFIsy7R2DijNNcxEYG8GzgyNR14oanRiPrr2I0uhZob7O1DqU+ofccHKvJnvf0d0ZjdZvZ5/AJdkVteYu28Lo1X3u2fyoSiTSfG6NZPnbdo2lorGmDd5Artq87A0AXuPQJ0QUFPXydERzrCbmzVDAbzTvIFXVXWjDnriRs+0RzDWE6L2++oW5Y/sp4KDtU+PurXMSk+CNhdDCGTw/H6T2lKD1Xi7L8et7zxacFInlKGDz8NMv99bNPTTFVW0okFuFKoW479Pn3DbdoQp9LLBEhMNoTFUWa53HxkPHOXaPmR+Pk38b74fo6WnXfU/9wd4xeEAN3byf4GtmwxpraWf0BBYX6KjuMszx8ndFYozk52rqjCdsh41ZqF4lEggO3sARvlJ6rs+r5Jy/VzcYYuyCNnBeFzC3F2hkCk8VmOb+yJi2UFTHEB4npwcg7Um71Y7kmLIlHUIwn8g6X4/L5Oosfx/tcjWUKCVzFLBmI+oW5C6b2d9XgccE4e6gc1zyUioLjldp1/mzneukzY5B7qEwws8voml+BP62lHStbihBLOMeTODYYEUN9sfnDU1ArTX+w/hHukMokUFiZ6sr9O4v0AmGJ6cEmg0JyZ4nBUgShehHa5xeJtAOzuXcnQalQG2SUiSViOLlYF+gNS/RB3uFyXnZeV3GXPHIDAPNWJWPLh9kA+INpoYEiW7+AGzR285YLLqccMiEUQZ2ze+ufPoiGqjbEjwxEfmYF737DJoXxgkKBUR6oKNYEkbgd5KhhfhBLRLiYU2OwtMo7yHzqNzcwyAZIAqM8ERjlqQsKtRgOAMYujINaxVhcgwjg142avnwIGqpbtZ+FvXn6u2DBP1KgUqpRc7lZsGAm9+/j4euM2vIW3u/VKob33Y5NDcDcezTLbU1l5PQENiA16qoYXMiq1GaamFw+xiFzkpi8ToXEe6Esv16b+SB3lvLagYevs0UBJVtqfFlCLBFrg4zcIJ1QRp8+mZNEWx9HKCvEmKk3D0bEUF/s/OosAMNsN7mzFH5hmgB8XJpm0iMuLZBXBDx+ZKDFu2npi0nh1xHkmnNXEhTtKoMJhJ6g/6dOvzpWmwXm5CrD4idGCTxKgJHvliXXWaFaM+nXxMA/3B0RQ3zh6im3eAMCocEztz1bsrTU2V2GEHcvlBfUm70vAKg6X1PmJOlS3Uu1HePUMcP9EWNi91Ih+td3YwE+AFYN5scujENjTZtB2QFAkzE37dZEbN6sC7rZ2jeQOUug0Pv89dufblc90+2S/Qjm3zccGZsKtSUwIob6InywDy6d5U+uePo7o6GqDQsfGYHf387SvDbnHDNuURwytxRj0o0JkMjEBhlh7HlZJBLhlpfGoa6iBZFDfbVtV+gacf0/R6G+shW+Ybo+r/7fTiqXYM6dumwwNy8npF8Ti60fZwu+Z2sCQayrH0jRZkAGxXhp+zwskUhzHS44UYmoJD+r2ycASMQizL07CYd+zUfSlDAERXtBDd3fmtvH8wpwQX1lq8nna2/hl+wYs0CXGX/zC2Px95c5KC/QBbLce3k9UnujoFAfxdghKsQwDG5/YyKqS5uM1hSxFHtS53bcRSLhTKGu1H0Q2o58wf0p+PO/J7U/p18di4TRwdr6BZamTnd1y0GhtEZryZ2lGDohFCWnq3m3hw7ytjhIJBJpPp+TOy/y1ssLpsk6YGw0ffkQTLwhAU4uUsF6CX5h7pi4RLgOhkgkwuDxIai+1GR01yFrmSqMa1Tn5ybltF2VUo2oJD/4BLuh+pImoyd5ajiyd18yeHhXB1teAS4YMiEETi5So8FQY7iDH3dfJzTVtFt8UTa3K5I1Jt2YAJ9gV8SPNF6Y1lJu3k4YdVU0ZHIJ7zwSmxqAsQtj4eHrzOskCA022c/F098FKTMi4OwmM1pfi/tnW/psOlrq2+HiIUdzXTsvIwnQZA2VXaiHT7CrwetOXpqA88euYMiEEKTOjNAMBDs7qdc9loYz+y8b1L8QkpgejIxNhRB7Ge/4sJ1hJ9fOwIBI03EyVqDZEsaWgdmbRCq2aBeTKcsS8fs7Wbzb1Cq13lI33feOm6126yvjenwQzgZbvQJcePW37BWsmrcqGeczKpAwRvMdi0n1x6mdl8wHWxy4SR83aGXtxIzKiuC63EXKm+QQ2oBhyZMj0d6q7PH6EeyupI4g0luCbi1ndxnamhSISha+phi7Xs2/bzj++jwHM1cIn4+kMglvaa+ljNX3mXjDIFw6W2u02LGQhNFBOPhLvvnX7AxsypylQL11pQCArk1IdoXcWYr4UYHIP1Zh8n6Mia9VYJQnrnt8pEXBZVdPOa61Ymm1nJMpdNPz6RY/jsVtvzc8pVkurN/+2LsYa+qRQ31RklOjLZjuHcjPkpZIxLj2oRE4tqUIR/7QZDnd9e5kSOUSdLQqoeRs9sI9x6TNjhKsrTr7zmHIz6xAGmcy1CvAxSCzTugaIXeRIiDSgxcIsjSLN3lqOC4cr0TkMF+UnNHsTCtU880S3CWFYxfGanbUHBGI7148AkDzd5lwfTzCB/t0bZMfaPrrHr7OmM0JcKkV/ADgVauH43zGFUxeloiSM9Xw9HdByZlqXjYqy9Tn5B3karCU0dWTgkJkgFCrGbh6yuHqyR2od62XyNYq4WZ2iEQiwcGWfrBGLDY+kxs51BepAjsdAZpZ92sfSsUf755AQnoQRJxUdUAzwOBmEHBxT9pdDTbYtT/NebLpy4cgdkQAfnzlKBqqzKe5isQijFsUh8hhvgjhpMWPvy4OijYVhkwI0QbPTM0EdReRSGRTevAMzmA2KtkPjdVtVm1/qa8rmULsx8btSLNtnjsQ1a9J4BfmhurSZoNOrk+IK2rLWowWo2aJRCJMv9W6wbzUSQJlu0pb7BUAlj2rWX7i6Wd7IUJrOblIzW4hbQ12Nluf0GtwA0SDxwUbBLv0i/Kynx2L29mUySXa2bTrHjfcrW3O3Uk4tesShk0KRf6xCm2HC9B0xLiBbW4nOCTeGyF6y3qMcXaX4dZX07Fl61aD381aORRZ20u0NWKueTAV+386j/Fd3P2rNwtL1BQSX/foPu1tKhXDz6wzMijtye/A4idGorKkkVfMmBuU9gl2Q+HJKt2xBbhg6k2JVte9cHGX8+rRjFsYB09/F8Eg8OgFUcj4s9iq5+8O7c26GVtrgxIRQ/2QsanI4uXp5gIgUrmky5NDfRV3CX1X5ixu+NdINFa1Gz93GXnOmOH+uPPtSXbPSjMWAE2ZHmGwFN4cN28n3PXuZJzeW4pDvxpfRqbmZApZY9KNg1Be0IDYVOszJ7pqzp1J8A4swLHNRUbvI1SjjitEoJahPXAzhaypraTF6deyfUOD83/nj8b+VvNWJaOqtAlBUaYz07j9PTag6+wmQ6ORfoMxg0YFWRSoNBWwEYlEWPzESCjaVRZvzx6W4IPbXpsAVy85OlqUUCpURpfeCnHzdkJzXbtBAWy5sxSjr4rh3RYc6wlPPxfBSX1LWTL5Hp3sr80QZz/ToGhPMGoGGZuKAADXPJCKsoJ6sxOj3AzW4FgvizK4+xMKCvVVdhjb26vWB6BbisFbPibm18Bg6c80RCb5QSTSzEQc2VDA+93VnO0xhYQP1hR+NBb9jU0NQPo1MTiyoZBXG4P7+QntUGQRzlsbNT8axzYXIW1OV3db0z0ZOyt/47/GoL6yFTvX56LqYpOxB0Is1izTY7c1Z7m4yw12bXLsIgrbXXXfcICxvOCtEFuWjwGalP/munZtbZrpywdj0/9OYfSCaMSlBaIgq1JbiHnhI2koL6g3+NvMuzcJ5w5XWLRDhrVuWDMKuQfKeMt/5M5Sh81IOxJ3oDB6QYzZgMBNz6Wj6FQV9n5/zurXcvNywrjO2hcpMyIgd9Fsb21vmt2yDG9PGB2MhNG64GNglCeue8wweNVf6HdkDXYf45zsJt4wCPt/PI+R8+y3G6YlgmO9eMFZfaPmR4NhGMSmBqCjVYmAKA+LNgEwRyqXGB0Ip86K6BVBoTaBZY6WConzwpJ/joKnv2XBM/7GDF1+2f7FxnKPzu4yePjwB6wzbx+qXdJsKrPVngGhRY+OwMFfL/BKDNgDWwDYlK4GhYZPi8DwaabvY+muU9aISfHHsc1FBufOabcORtXFJn4fuQdxly5x28bwaeE4tcsw89oS+m2M/UmoziCgOWdasmLCWCCaG9iy5wY7yVPD0d6qREFWJWouNxv83tT1xRi2To6mf2RdO7v2oVQc2VCoLUQu5OYXxqLqUhOvkHtXBdowAcwtlxAx1Nei9s2dkNGv2zUQDLxRQj9hj4QPeyaNsBdF/UwhoYv/mKtj0FDdhqJTmhnSoRNCtGvu9YNCljCX8p02Nxoh8d7ayv+A/jbLts8Qjrk6BonpwdrtVa0l1EdiU0TNpYVa078SKubcl2gL99nAWGd16TNj8PeXuYIFhbn0a0v4hbpj+avjtT+zO3UBmoFrtEB6vbuPZn23rebfm4xdX5/l7QbiE+zWL7NDukLmJEFMij/aW5Tw8DE/gPTwdcag0UHaoFBXM+skUnG3BPwI35InR+Hn148B0Czl4BWW5XT+U6ZHIDY1oNcVjZQ5SSxaNmhP3IC6IwPF+rUdrGVNfStbl0r1R93xOSSmB6O6tAkyJ4ndd5QyJnSQD++aa09Cg/tbXhqHr585BEBX22rMghj8/k4WBo+zbRdfQLOc+PAfBZh0o/CSelsERnli6bNj4K53Lezq0h57cfdxwlX3DYdUL7g2fkl8l4NCBjrbu9zGotbGyl/InaVY9OgIiMTiLpXIMPV66VfHoqmmTTAo1NN8gt0MJpv1eQe5di3ji+OGp0bjSmE94kd1vZRBXFoADv6SL1ij0Jjxi+KhVjIY3ENL5nsbCgoNYIKZQl3sJ3h3pjjyZlaMPJeTqwxX3TccSoUKDZVtNhe5NkcsFhls5Wts/bk14kYEIvdAGdy8nSASiWw7CZr43KfenIi/v8hF6izhZXSWRIVu+NdolOXXGRS3HYj0O8NTb05E9HB/uHk58QaV7A4PgGOW3VkiJiUA0cP9aaBjhEgkwvx7rdtunhs07KV/dtKJW4SWzRS64anRuJxfZxC8tXS78oHAa3AbfJ3De3T5ij6hgujdhZcpZEOWaX/CvWTY87vR00HO7iS00QX3c2MLTYcl+uCONydatQzHmJB4byx6NM3m5zGGzXDubYSySiQW1H9MGBMED19nZG4t5i3T1cf+3bpUU5IjJtUfu74BwjilGljW7LhpLXuMWfqSgEgPm8pEAJql4ivfmmR2WSSXs7sMM28fatPr9mUUFOqjujpIjRzmh5IzmqLG9lw+xi7L0M8UMkUqkxgEhEYviEHGn4bFwezNHifYyGG+WPzkSHgH2hYRN8fTz8VkJ8GSAsQBER4IiLDtBNtfiUQibbYZt/0ufGQEvnjygKMOy2IUELIv7hr23hoMJIZUnbP29uhM9nceMQrMmj/E5gGSLdLmROHgL/lW7YjXVdwagnS61BCJRFjx+gSolGqbsyf6K6nUcDDJDSqqOfVH7LHskxgatygOJ3deRIuRQt7jF8fDxV2G8CG+Fu1UZ2v5ABd3Oe75zxS7ZgNZwtE7aPZV9gjUDiSO6xEQh1jwD92sub3OMdwOOLemEBuskFkRpeVuD9idjJ1g2YLAlmQviUQiBMd42eWkY9Nlijq5NuG2BW6mUE/vREN6B24B1j5fhGsAGWgzqX1d6swI3Pj0aEy7dXC3vxYtHxPm5uXkkM0H+gqJQKYQF80ZdL+0OVEmd84US0QQS8QIT/QxqAGVNEW3hJv93tsaFAI045yezjiMTdWU2HDzouAj6T40PdBXdfFixOsQWREVCh/sg0tnawV/x63WLhVYPnbbq+Px6SP7YCntVsrdSG6kMOCQ8SHwDnbt+do7NnRUrd2qnPBxM+aMFpakzt+AIbRlNen9uLP2pPcTiUTwD++ZjC7+8rEeeUnSD0gFskEoqNjzTGXlmOr/TlmWiNN7SgFwl4/1zb9f/MhAuHrK4RfWO5f/kf6BLo99FGOHUarawmkO31A3XPvQCKO/5wWFZIbLx5xcZdq0Tkuq8vfESTttbhRCB3kbzFKKxCKExnv3eAFOdgc07rbCluLuekCsx10iNNC2JSaGRFRTqE9hszrZzQoI0UeZQqQrhDKFKKjY8yQmxgSWZuw4dW484Mgls7YQiTS1UWk5FOlONJrsq+yyJb119x82OQxn9mqi7v4R7tpt0vmZQpygEOfcO+euJBzbVIjhRrbJ5eqJtbrObrJuLeZnLd8QN6z631Sr3vuUmxJRmleLhPTur8nQ3yx6LA2/vXkcAP97IKcA24DHHTRSTaHe79qHRqAgqwIJY+g8SIRRNi3pCnvsTEtsJzaVKWRmEnnWyqHIPVCGsZ27vfbVTCFCegKNgPoou2xJL7B8zNQk2qTrByEmxR9B0Z5wcpFi7X27AAAqpe55uJlA3MG2h68zpt1qfF0w10A9aVsbDEuaHEbbXndRaLy39t/cgf+IWZEoyKo02AbTHpl5pA+ioFCv5+opR9IU6zMsycBBO46RrpBIDdsNZZr1vK4uHwOAhNHBSBitmzCgADEhxlFQqI8Ti0V2rUrvFWC4kxY7LpLIxIgaZrjlI7eWg0yg0LS1+mp6J+mbuMFLZzcZbn5hrMCdeu54SO8hEtO5iJC+jr8klE7mxDJCfVGKCfU8oeAcy9qAb2J6MI5vK0b4EF9bD4uQfod6vH1VZ8fG3lk1cWkBGLcoDgsfNl5DSJ9KwS80PXPFEEy9ORHO7l1b+zrxhkEAgLQ5kV16PCHWoEEC0ZcyPQJRyX4ItmCLW0JI70bZAaQrhPrXlCnU8/QzhcZcrdul2Nq/h9xFiuWvjMcMEzuaETJQUaZQH8UOY8VSMaCw364rIpEIaXOirHqMSm/Xl8SxITYdQ9QwP9z1zmTIXah5ku5nSaYdxY0GFjYwTQjp+7j1DelcTiwluImHSLN0//TeUsSPDDT8PbE7/YwtN28nm56PlpMSIoxG3X1VZ8emN9Tf6Y5OFgWESE8Rqq1FCCGkf+ANAul0Tywkd5biqvuGo6G6Fft+OA9As3xsYmd9zZBB3o49wAFCIuOPc6jPRkj3oOVjfRTTk0Ehc1Efx8elCOkymjkmhJD+i7t8TO5CO0oRy0UP90d0sr/uBpEIEpkYkcP8eDU0SfeR6GUKUZ+NkO5B6Rh9luasqH+y7EkL/pGC3d+epbW5pE+jWSdCCOm/RCIRZt0xFB1tKrj7ODv6cEgfww1CUEmhnqdfU4j6bIR0DwoK9VGBUZ4YtygOapUaRzYUWvXYhPQgnDtyBUPG21j7J8kPt706wabnIMTRTHUwhk4IQen5OsSOCOjBIyKEEGJPCWOCzd+JENLr6K+IoM1BCOkeFBTqo/zC3OEX5o76yhaTQSG/MDdUlzYDAJKnhAEApt0yGInpwQil9dCEmOxgTLt1CBiGoR1HCCGEkAGOihT3PP3PnLHf3jqEEA4KCvVx+idLDz9nuLjLUFHcCABY9GgarhQ1IHSQN6QyzfpnqUyCyKF+PX6shPRGajMdDAoIEUIIIYR6A4SQ/ooKTfdx+jWFkqaE8bbYdnKVIXKonzYgRAjho1RkQgghhAjjFhVy3FEQIDDKA4PHh8DT3xnJ08IdfTiE9CuUKdTHcTOF5t6dhJjUAJw7Uu7AIyKkb6GihYQQQgghvVtUkh+cXKS45aVxlMVNiJ1RplAfxy3AFhTjBbFYZHY5jKXYgFNInJd9npCQXsjdm3ajIYQQQoghKWfreQpEOJZKpZnEo78DIfZHmUJ9HDcoxC6DsVfmw03PpSP/eAWGT6UUTdL/LPhHCoqyq5A8LczRh0IIIYSQXsjNywnp18RCKhcbbI9OepZaRZndhHQXCgr1cWLO8jH2ZGmvoJB3kCtGzYu2y3MR0ttEJfkhKokKrhNCCCHEuFHzox19CASAWkVbjxHSXSjk3ceJuJlCncEgKpxLCCGEEEII6S/UShrfENJdKCjUx4nFInj6O8PZXQYPf01tFEqvJIQQQgghhPR1/hHuAICE9GAHHwkh/RctH+vjRCIRbn5hLBhGtz097aZECCGEEEII6euWPDEKzfXt8PR3cfShENJvUVCoHxBL+AlfFBMihBBCCCGE9HUSmZgCQoR0M1o+1g8FRXsCAO2SQAghhBBCCCGEEKMoU6gfmn7rYBzfXoKhE0IcfSiEEEIIIYQQQgjppSgo1A+5eMgxYXG8ow+DEEIIIYQQQgghvRitLyKEEEIIIYQQQggZgAZkphDDaCoxNzQ0OPhISF+jUCjQ0tKChoYGyGQyRx8O6WOo/RBbURsitqD2Q2xB7YfYitoQsQW1H+uwsQ429mHKgAwKNTY2AgAiIiIcfCSEEEIIIYQQQggh9tfY2AgvLy+T9xExloSO+hm1Wo3Lly/Dw8MDIpHIrs89evRoZGRk2PU5Se/R0NCAiIgIXLx4EZ6eno4+nD6Dvhca1H4IV1e+F9SGiC16e/uha0Xv1tvbT3/Vn74X1IaILbjtZ8aMGf3me9FdGIZBY2MjQkNDIRabrho0IDOFxGIxwsPDu+W5JRIJneQGAE9PT/o7W4G+F3zUfghg2/eC2hCxRW9tP3St6Bt6a/vpr/rj94LaELGFp6dnv/xedAdzGUIsKjRtZ6tXr3b0IRDS69D3ghBD9L0ghI++E4QYou8FIYboe2FfA3L5GCFd1dDQAC8vL9TX11N0mliN2g+xFbUhYgtqP8QW1H6IragNEVtQ++k+lClEiBWcnJzw3HPPwcnJydGHQvogaj/EVtSGiC2o/RBbUPshtqI2RGxB7af7UKYQIYQQQgghhBBCyABEmUKEEEIIIYQQQgghAxAFhQghhBBCCCGEEEIGIAoKEUIIIYQQQgghhAxAFBQihBBCCCGEEEIIGYAoKEQIIYQQQgghhBAyAFFQiBAO2oyP2ILaDyGEEEIGKuoHEVtQ+3EcCgoR0qmiogKNjY3an+nERKxRX18PlUql/ZnaD7FGfn4+duzY4ejDIH3YuXPnsGrVKuzbt8/Rh0L6oIsXLyIzMxOXL1929KGQPor60cQW1I92LAoKkQFPqVRi5cqVGDNmDGbOnImbb74ZVVVVEIlEjj400gcoFAqsXr0a8+fPx/z58/HSSy9BpVJR+yEWO3XqFBISErBs2TIUFxc7+nBIH6NWq/Hwww8jNTUVzc3NvEEZIeYoFArcc889SEtLwx133IGUlBQcOHDA0YdF+hDqRxNbUD+6d6CgEBnQlEolVqxYgZycHHz55ZdYtmwZTp06heuuuw65ubmOPjzSy+3YsQNDhw7FmTNn8PjjjyMiIgLffPMNnn/+eQA0y0Es09HRgTlz5kAmk+GNN95w9OGQPmbLli3IyMjAli1bsH79esyfP1/7OzoHEVOampqwZMkSnD9/Htu3b8ePP/6ItLQ0PPPMMwCo/RDzqB9NbEH96N6DgkJkQCsrK8PRo0exevVqTJkyBQ8//DB27NiBgoICfPDBB7hy5YqjD5H0Ug0NDfjxxx8xZ84c7NixAwsXLsQHH3yApUuXIiMjAy0tLTTLQSxy/Phx+Pj44JtvvsHHH3+Mo0ePOvqQSB/y6aefIjU1FVOmTMGePXvwzDPP4IsvvkBJSQmdg4hJOTk5yM3NxTPPPIMRI0YgMTER119/PTw8PKBWq6n9ELOoH026ivrRvQsFhciAVl1djUuXLmHs2LEAgPb2dgQHB2PNmjXYvn079u7d6+AjJL0VwzCYOHEi7rzzTshkMjAMA7lcjra2NrS2tsLV1ZVmOIhFnJycEBUVhenTp2P06NF44YUXAGg6TISY0tjYiKqqKsyYMQMvv/wyli5diuzsbDz77LOYPn06Nm7c6OhDJL2YQqFAfn4+nJycAABVVVV4//33ERoais8++wytra0OPkLS21E/mnSVSqWifnQvQkEhMmBs3rwZAD8VMTExEcHBwfj6668BAGKx5iuxevVqeHh4YMuWLWhvb+/5gyW9Dtt+1Go1AMDLywu33XYbUlNTebfX19cjNjYWAGiGg2gJnX9Yx48fR1NTEwDgm2++wdatWzFv3jzMmTMHZ8+e7dHjJL2XUBvy8PCAQqHAp59+inPnzuHXX3/Fzz//jOLiYsTFxeGzzz6jNkQACLefCRMmYOrUqbj99tsxb948BAUFITg4GHK5HGvWrMFtt92G7OxsRx0y6WU+/vhjfPLJJ7xAz6BBg6gfTSzCtp89e/YAAHx8fLB8+XLqR/cSFBQi/d6mTZsQHh6OBQsW4ODBgxCJRNoTDwBcf/31+O6771BRUQGZTIa2tjYAwP3334/ffvuNotQDnH77EYvFvPbDYjtCWVlZmDhxIgBaC02Ezz9su2D/X1FRgYULFwIA/v77bzg5OeHvv//GY489hsGDBzvq0EkvYawNse3n7rvvxpYtW3DkyBHEx8dDKpVCJBLh6aefxpEjR1BbW+vgd0AcyVgfiL2Obdy4EZs2bUJDQwPeeOMNbNmyBf/5z3+wY8cOZGZmUlCR4LvvvkNQUBC++OILrF27FkuWLMGrr74KQJPtQf1oYop++7n++uu17Yfbn6Z+tGNRUIj0a/v378f//vc/LFq0CHPnzsWDDz4IQHficXFxwezZs+Hl5aVdssGmUUdGRkIul+PcuXOOOXjicObaD5dIJEJRUREKCgq0FzORSISCggIAEAwkkf7NWPthZ77Yzo6TkxO+/PJLjBkzBk899RSeeuopuLu7o6ioyFGHTnoJU22IbUfjxo3DlClTIJVKedv5jh49Go2NjSgtLXXIsRPHM3UNY69jbm5uaGxsRHV1NZYvX649LyUnJ6O2thYlJSUOO37ieN9++y1ef/11vPjiizh48CA2bdqE5557Dq+++ioaGhrg6emJWbNmUT+aCDLVfhobGyGRSLT3pX60Y1FQiPRLbKcmKCgIs2fPxiOPPIKXXnoJOTk5WLduHQDNjgmAJn36pptuwpdffonffvsNCoUCAHDgwAEMHToUycnJjnkTxGEsaT9CF6etW7ciIiICiYmJyMrKQnp6OsaOHQulUikYSCL9k6XtRywWo7W1FQ0NDdi8eTPGjBmDrKwsPP3003jyySfx+OOPU2BogLKkDbEBoISEBDz00EO4cOECPvzwQ20QaMOGDUhOTsbkyZMd8yaIw1h7DXN1dcX58+dx8eJFbbBx48aNiImJwfTp03v+DRCHY9uQQqFAeno6li9fDgAIDQ1FamoqwsLCkJOTAwCYOHEi9aMJjyXtR2h3OupHOxBDSD+SmZnJ1NXV8W5TKpUMwzCMQqFgHn30USYgIIBpa2vj/a6hoYF54oknGA8PD2bKlCnM9ddfz7i4uDDvv/8+wzAMo1are/BdEEextv2w2PZx//33M0uWLGEefvhhRiwWMytXrjS4L+m/unr+OXr0KHPmzBne49ra2pg33niDUalUPXDkpLewtg1x28d7773HhIaGMomJicyiRYsYNzc35pVXXum5gycOZ237Ya9d1dXVzLJlyxhXV1dm1apVzPLlyxkPDw/m2Wefpf7PAJOZmcnU1tZqf66rq9O2IdaJEyeY4OBgpqamRnsb9aMJw3S9/VA/2vEoKET6hZ9//pkJDw9n4uLimMjISObZZ59lysrKGIbRnGjYk01BQQETERHBPProowzDMAYDrh9//JF57rnnmFWrVjG5ubk9+yaIw3S1/XA7OSqViomKimJEIhEzdepUg0E+6b+62n70O0pk4LLXNezw4cPM2rVrmTVr1jB5eXk9+yaIw9ij/bS0tDCPP/44s2LFCmb58uXUfgYY/Tb0zDPPMOXl5drfc9vK22+/zUyYMIFhGIZpb2/nPc9PP/1E/egByB7th/rRjkVBIdLnZWRkMIMHD2beffdd5uTJk8zatWuZgIAA5t5772Wqq6sZhtENvtRqNbN27VpGKpUyBQUFDMNoTkj19fUOO37iWPZoP83NzUxrayvz6quvMtu2bXPYeyE9z17th/09GXjs0YYaGhocdvzEsWxtP21tbbz2o1Aoev5NEIeypA2pVCpt21i0aBGzevVqRx4y6UXs1X7q6uqY1157jfrRDkJBIdJnsQOoDz74gAkPD+cFdv73v/8xY8eOZV566SWDx1VXVzPjx49nrr32WiYzM5OZPXs2s379ehqQDTD2aj+zZs1i1q9f32PHTXoHOv8QW1EbIrag9kNsZW0bUqlUjFqtZuLi4pg///yTYRiGycvLY5YuXcqUlJT07METh6P2079QxSbSZ7HFEAsLC5GQkACpVKr93YoVKzBy5Ehs2bIFZ86cAaAryunr64u77roLGzZswOjRoyGXy7F48WLt85GBwV7tx8nJCdddd13PvwHiUHT+IbaiNkRsQe2H2MraNiQWi5GRkQFXV1ekpaXhoYcewvDhw1FdXY3AwECHvAfiOPZsPwEBAQ55D0SHgkKkz9ixYwceeOAB/Oc//8HRo0e1t0+YMAEHDx5EeXk5AE3Hx83NDddeey1EIhG2b98OAJBIJOjo6MDatWuxcuVKTJ48GadOncLGjRvh4uLikPdEek53th9XV1eHvCfSc+j8Q2xFbYjYgtoPsZWtbQgANm/ejNOnTyMxMRE7duzAgQMHsH37du029KT/6s724+zs3OPvh/BRUIj0emVlZbj66qtxyy23oKamBuvWrcPs2bO1J6TZs2cjOjoar7/+OgBd5HrWrFkQi8XIz8/XPldtbS3OnTuHzz//HLt378awYcN6/g2RHkXth9iC2g+xFbUhYgtqP8RW9mxDMpkM/v7++OKLL3DmzBmMHDmy598Q6VHUfgYIR69fI8SU5uZm5rbbbmNuvPFGbVFEhmGY0aNHMytWrGAYRlNA8auvvmLEYjFz4MAB3uNvvvlmZtq0aT16zKT3oPZDbEHth9iK2hCxBbUfYit7tKGpU6dqf66oqOiZAye9ArWfgYMyhUiv5urqCicnJ6xYsQIxMTFQKpUAgAULFiA3NxeAJiX6hhtuwLXXXos777wTe/bsAcMwKC8vx/nz53HzzTc78i0QB6L2Q2xB7YfYitoQsQW1H2Ire7ShW265Rft8VPtlYKH2M3CIGIZhHH0QhJiiUCggk8kAAAzDQCQS4dZbb4WLiws+/vhj7W1tbW2YN28ecnJykJqaitOnTyMyMhI//vgjIiIiHPwuiKNQ+yG2oPZDbEVtiNiC2g+xFbUhYgtqPwMDBYVInzR58mTccccdWLFiBRiGgVqthkQiwZUrV3Dq1ClkZGQgOjoaN910k6MPlfRC1H6ILaj9EFtRGyK2oPZDbEVtiNiC2k//Q0Eh0ucUFBRg/Pjx2LRpk7ZAWUdHB+RyuYOPjPQF1H6ILaj9EFtRGyK2oPZDbEVtiNiC2k//RDWFSJ/Bxi/3798Pd3d37YnohRdewIMPPoiKigpHHh7p5aj9EFtQ+yG2ojZEbEHth9iK2hCxBbWf/k3q6AMgxFLsFodHjx7F4sWLsWPHDtx9991oaWnB+vXrERgY6OAjJL0ZtR9iC2o/xFbUhogtqP0QW1EbIrag9tO/0fIx0qe0tbUhOTkZFy5cgFwuxwsvvIAnn3zS0YdF+ghqP8QW1H6IragNEVtQ+yG2ojZEbEHtp/+ioBDpc2bNmoVBgwbh7bffhrOzs6MPh/Qx1H6ILaj9EFtRGyK2oPZDbEVtiNiC2k//REEh0ueoVCpIJBJHHwbpo6j9EFtQ+yG2ojZEbEHth9iK2hCxBbWf/omCQoQQQgghhBBCCCEDEO0+RgghhBBCCCGEEDIAUVCIEEIIIYQQQgghZACioBAhhBBCCCGEEELIAERBIUIIIYQQQgghhJABiIJChBBCCCGEEEIIIQMQBYUIIYQQQgghhBBCBiAKChFCCCGEEEIIIYQMQBQUIoQQQgghhBBCCBmAKChECCGEEEIIIYQQMgBRUIgQQgghhBBCCCFkAPp/K5FSpa3OhkwAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1400x900 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "bmvIndexReturns.plot(\n",
    "    figsize=(14,9),\n",
    "    subplots=True,\n",
    "    grid=True,\n",
    "    title=(f'Rendimientos (logarítmicos) diarios de {bmvIndexTicker}.\\n'\n",
    "    '({0:%Y-%m-%d} a {1:%Y-%m-%d})'.format(*list(bmvIndexReturns.index[[1,-1]])))\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## <font color='crimson'> Preparación de los datos en forma columnar </font>\n",
    "Muy a menudo, los datos descargados no vienen completos (aunque en la gráfica anterior no sea evidente):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "high        9\n",
       "low         9\n",
       "open        9\n",
       "close       9\n",
       "adjclose    9\n",
       "dtype: int64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bmvIndexReturns.isnull().sum(axis=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Es posible encontrar los registros (renglones) donde esto ocurre."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>open</th>\n",
       "      <th>close</th>\n",
       "      <th>adjclose</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2008-09-15</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009-02-02</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009-02-03</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-12-26</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-12-27</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-01-02</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-01-03</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-12-26</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-12-29</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            high  low  open  close  adjclose\n",
       "2008-09-15   NaN  NaN   NaN    NaN       NaN\n",
       "2009-02-02   NaN  NaN   NaN    NaN       NaN\n",
       "2009-02-03   NaN  NaN   NaN    NaN       NaN\n",
       "2011-12-26   NaN  NaN   NaN    NaN       NaN\n",
       "2011-12-27   NaN  NaN   NaN    NaN       NaN\n",
       "2012-01-02   NaN  NaN   NaN    NaN       NaN\n",
       "2012-01-03   NaN  NaN   NaN    NaN       NaN\n",
       "2014-12-26   NaN  NaN   NaN    NaN       NaN\n",
       "2014-12-29   NaN  NaN   NaN    NaN       NaN"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bmvIndexReturnsHoles=bmvIndexReturns[bmvIndexReturns.isna().any(axis=1)]\n",
    "bmvIndexReturnsHoles"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "El problema empieza a ser complejo cuando hay datos ausentes consecutivos (reconocibles mediante 1's consecutivos, en el siguiente arreglo)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2008-09-15         NaT\n",
       "2009-02-02    140 days\n",
       "2009-02-03      1 days\n",
       "2011-12-26   1056 days\n",
       "2011-12-27      1 days\n",
       "2012-01-02      6 days\n",
       "2012-01-03      1 days\n",
       "2014-12-26   1088 days\n",
       "2014-12-29      3 days\n",
       "dtype: timedelta64[ns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bmvIndexReturnsHoles.index.to_series().diff()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Una solución es hacer [una interpolación](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.interpolate.html), estableciendo un método y una tolerancia. De acuerdo con la documentación de `**Pandas**`, los métodos disponibles (parámetro `method` en `pandas.DataFrame.interpolate`) son:\n",
    "> * **‘linear’**: Ignore the index and treat the values as equally spaced. This is the only method supported on MultiIndexes.\n",
    "> * **‘time’**: Works on daily and higher resolution data to interpolate given length of interval.\n",
    "> * **‘index’, ‘values’**: use the actual numerical values of the index.\n",
    "> * **‘pad’:** Fill in NaNs using existing values.\n",
    "> * **‘nearest’**, ‘zero’, ‘slinear’, ‘quadratic’, ‘cubic’, ‘spline’, ‘barycentric’, ‘polynomial’: Passed to scipy.interpolate.interp1d. These methods use the numerical values of the index. Both ‘polynomial’ and ‘spline’ require that you also specify an order (int), e.g. df.interpolate(method='polynomial', order=5).\n",
    "> * **‘krogh’, ‘piecewise_polynomial’, ‘spline’, ‘pchip’, ‘akima’, ‘cubicspline’**: Wrappers around the SciPy interpolation methods of similar names. See Notes.\n",
    "> * **‘from_derivatives’**: Refers to scipy.interpolate.BPoly.from_derivatives which replaces ‘piecewise_polynomial’ interpolation method in scipy 0.18.\n",
    "\n",
    "> **Nota**: Consultado el 16/06/2022."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "tolerancia=2\n",
    "\n",
    "bmvIndexReturns.interpolate(\n",
    "    method='cubic',\n",
    "    limit_direction='both',\n",
    "    limit=tolerancia,\n",
    "    inplace=True #Para mutar el arreglo original\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "high        1\n",
       "low         1\n",
       "open        1\n",
       "close       1\n",
       "adjclose    1\n",
       "dtype: int64"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bmvIndexReturns.isnull().sum(axis=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Los únicos _huecos_ restantes son los obtenidos por la diferenciación discreta:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>open</th>\n",
       "      <th>close</th>\n",
       "      <th>adjclose</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2008-09-15</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            high  low  open  close  adjclose\n",
       "2008-09-15   NaN  NaN   NaN    NaN       NaN"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bmvIndexReturns[bmvIndexReturns.isna().any(axis=1)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Quitamos el renglón con datos vacíos:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "bmvIndexReturns.dropna(\n",
    "    axis='index', #También puede ser 'columns', para desechar columnas con uno o todos los registros ausentes.\n",
    "    how='any', #También puede ser 'all', para tirar registros con todos los datos ausentes.\n",
    "    inplace=True\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "El arreglo resultante ya no tiene _huecos_:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>open</th>\n",
       "      <th>close</th>\n",
       "      <th>adjclose</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [high, low, open, close, adjclose]\n",
       "Index: []"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bmvIndexReturns[bmvIndexReturns.isna().any(axis=1)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ahora guardamos los datos en formato `.csv` (que es bastante estándar):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./data/returns^MXX_from2008-09-15_to2022-05-17_downloaded20230517.csv\n"
     ]
    }
   ],
   "source": [
    "print(f'{location}/returns{dataName}_downloaded{today}.csv') #Este es un nombre sugerido"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "bmvIndexReturns.to_csv(\n",
    "    f'{location}/returns{dataName}_downloaded{today}.csv'\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "El archivo luce así:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==> ./data/returns^MXX_from2008-09-15_to2022-05-17_downloaded20230517.csv <==\r\n",
      ",high,low,open,close,adjclose\r\n",
      "2008-09-17,-0.028117281936747673,-0.051136438588036626,-0.03235510862275781,-0.04832186150505535,-0.04832186150505535\r\n",
      "2008-09-18,-0.005097731068488542,-0.00867341986496406,-0.04828006353628034,0.04668555093371296,0.04668555093371296\r\n",
      "2008-09-19,0.05987006873535172,0.06100702141369396,0.04916800322614456,0.044683360493072755,0.044683360493072755\r\n",
      "2008-09-22,-0.014791441082509849,0.01975446015722504,0.04221785189800542,-0.022392681901587608,-0.022392681901587608\r\n"
     ]
    }
   ],
   "source": [
    "! head -v -n 5 '{location}/returns{dataName}_downloaded{today}.csv'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> **Nota**: En el archivo `.data/worldIndices_20220616.json` hay un diccionario con otros índices y sus correspondientes símbolos bursátiles."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## <font color='crimson'> Descarga de más series de tiempo </font>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "listaTickers=['LABB.MX','GENTERA.MX','WMT.MX'] #Genomma Lab, Gentera, Walmart\n",
    "bmvStocks = yf(listaTickers)\n",
    "bmvHistoricalPrices=bmvStocks.get_historical_price_data(\n",
    "    dateFirst,\n",
    "    dateLast,\n",
    "    'daily'\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['LABB.MX', 'GENTERA.MX', 'WMT.MX'])"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bmvHistoricalPrices.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['eventsData', 'firstTradeDate', 'currency', 'instrumentType', 'timeZone', 'prices'])"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bmvHistoricalPrices['LABB.MX'].keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[\n",
      "    {\n",
      "        \"date\": 1221485400,\n",
      "        \"high\": 8.0,\n",
      "        \"low\": 7.980000019073486,\n",
      "        \"open\": 8.0,\n",
      "        \"close\": 7.980000019073486,\n",
      "        \"volume\": 44000,\n",
      "        \"adjclose\": 7.01423454284668,\n",
      "        \"formatted_date\": \"2008-09-15\"\n",
      "    },\n",
      "    {\n",
      "        \"date\": 1221658200,\n",
      "        \"high\": 8.0,\n",
      "        \"low\": 7.675000190734863,\n",
      "        \"open\": 8.0,\n",
      "        \"close\": 7.675000190734863,\n",
      "        \"volume\": 388000,\n",
      "        \"adjclose\": 6.746147155761719,\n",
      "        \"formatted_date\": \"2008-09-17\"\n",
      "    }\n",
      "]\n"
     ]
    }
   ],
   "source": [
    "print(\n",
    "    json.dumps(\n",
    "        bmvHistoricalPrices['LABB.MX']['prices'][0:2],\n",
    "        ensure_ascii=False,\n",
    "        indent=4\n",
    "    )\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Elegir un tipo de dato (apertura, cierre, etc.) y sincronizar:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "kind='adjclose'\n",
    "bmvStocksDataFrame=pd.DataFrame()\n",
    "for stock,data in bmvHistoricalPrices.items():\n",
    "    series=pd.Series(\n",
    "        [d[kind] for d in data['prices']],\n",
    "        index=[d['formatted_date'] for d in data['prices']],\n",
    "        name=stock\n",
    "    )\n",
    "    bmvStocksDataFrame=pd.concat(\n",
    "        [\n",
    "            bmvStocksDataFrame,\n",
    "            series\n",
    "        ],\n",
    "        axis=1\n",
    "    )\n",
    "\n",
    "del(series)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>LABB.MX</th>\n",
       "      <th>GENTERA.MX</th>\n",
       "      <th>WMT.MX</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2008-09-15</th>\n",
       "      <td>7.014235</td>\n",
       "      <td>NaN</td>\n",
       "      <td>649.106445</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-09-17</th>\n",
       "      <td>6.746147</td>\n",
       "      <td>NaN</td>\n",
       "      <td>664.297302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-09-18</th>\n",
       "      <td>6.368187</td>\n",
       "      <td>NaN</td>\n",
       "      <td>664.297302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-09-19</th>\n",
       "      <td>6.570352</td>\n",
       "      <td>NaN</td>\n",
       "      <td>611.856873</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-09-22</th>\n",
       "      <td>6.592326</td>\n",
       "      <td>NaN</td>\n",
       "      <td>611.856873</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-05-10</th>\n",
       "      <td>18.047804</td>\n",
       "      <td>14.037169</td>\n",
       "      <td>3033.468262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-05-11</th>\n",
       "      <td>17.664007</td>\n",
       "      <td>14.377904</td>\n",
       "      <td>2993.501709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-05-12</th>\n",
       "      <td>17.439342</td>\n",
       "      <td>13.774435</td>\n",
       "      <td>2983.010498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-05-13</th>\n",
       "      <td>17.982275</td>\n",
       "      <td>13.985171</td>\n",
       "      <td>2962.527344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-05-16</th>\n",
       "      <td>18.384792</td>\n",
       "      <td>14.492851</td>\n",
       "      <td>2995.489990</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3428 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              LABB.MX  GENTERA.MX       WMT.MX\n",
       "2008-09-15   7.014235         NaN   649.106445\n",
       "2008-09-17   6.746147         NaN   664.297302\n",
       "2008-09-18   6.368187         NaN   664.297302\n",
       "2008-09-19   6.570352         NaN   611.856873\n",
       "2008-09-22   6.592326         NaN   611.856873\n",
       "...               ...         ...          ...\n",
       "2022-05-10  18.047804   14.037169  3033.468262\n",
       "2022-05-11  17.664007   14.377904  2993.501709\n",
       "2022-05-12  17.439342   13.774435  2983.010498\n",
       "2022-05-13  17.982275   13.985171  2962.527344\n",
       "2022-05-16  18.384792   14.492851  2995.489990\n",
       "\n",
       "[3428 rows x 3 columns]"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bmvStocksDataFrame.name=kind\n",
    "bmvStocksDataFrame.index=pd.to_datetime(bmvStocksDataFrame.index)\n",
    "bmvStocksDataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2008-09-15', '2008-09-17', '2008-09-18', '2008-09-19',\n",
       "               '2008-09-22', '2008-09-23', '2008-09-24', '2008-09-25',\n",
       "               '2008-09-26', '2008-09-29',\n",
       "               ...\n",
       "               '2022-05-03', '2022-05-04', '2022-05-05', '2022-05-06',\n",
       "               '2022-05-09', '2022-05-10', '2022-05-11', '2022-05-12',\n",
       "               '2022-05-13', '2022-05-16'],\n",
       "              dtype='datetime64[ns]', length=3428, freq=None)"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bmvStocksDataFrame.index"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Aplicar el mismo método de limpieza de antes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LABB.MX         1\n",
       "GENTERA.MX    574\n",
       "WMT.MX          0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bmvStocksDataFrame.isnull().sum(axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "tolerancia=2\n",
    "\n",
    "bmvStocksDataFrame.interpolate(\n",
    "    method='cubic',\n",
    "    limit_direction='both',\n",
    "    limit=tolerancia,\n",
    "    inplace=True #Para mutar el arreglo original\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Quitamos el renglón con datos vacíos:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "bmvStocksDataFrame.dropna(\n",
    "    axis='index',\n",
    "    how='any',\n",
    "    inplace=True\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "El arreglo resultante ya no tiene _huecos_:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>LABB.MX</th>\n",
       "      <th>GENTERA.MX</th>\n",
       "      <th>WMT.MX</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [LABB.MX, GENTERA.MX, WMT.MX]\n",
       "Index: []"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bmvStocksDataFrame[bmvStocksDataFrame.isna().any(axis=1)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ahora guardamos los datos en formato `.csv`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./data/stockPrices_downloaded20230517.csv\n"
     ]
    }
   ],
   "source": [
    "print(f'{location}/stockPrices_downloaded{today}.csv') #Este es un nombre sugerido"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "bmvStocksDataFrame.to_csv(\n",
    "    f'{location}/stockPrices_downloaded{today}.csv'\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>LABB.MX</th>\n",
       "      <th>GENTERA.MX</th>\n",
       "      <th>WMT.MX</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2010-12-30</th>\n",
       "      <td>25.710072</td>\n",
       "      <td>18.476227</td>\n",
       "      <td>650.904663</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-01-03</th>\n",
       "      <td>26.457203</td>\n",
       "      <td>18.545977</td>\n",
       "      <td>657.174255</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-01-04</th>\n",
       "      <td>26.518732</td>\n",
       "      <td>18.427408</td>\n",
       "      <td>657.174255</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-01-05</th>\n",
       "      <td>27.239491</td>\n",
       "      <td>17.939169</td>\n",
       "      <td>654.815674</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-01-06</th>\n",
       "      <td>27.511972</td>\n",
       "      <td>17.688078</td>\n",
       "      <td>647.121521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-05-10</th>\n",
       "      <td>18.047804</td>\n",
       "      <td>14.037169</td>\n",
       "      <td>3033.468262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-05-11</th>\n",
       "      <td>17.664007</td>\n",
       "      <td>14.377904</td>\n",
       "      <td>2993.501709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-05-12</th>\n",
       "      <td>17.439342</td>\n",
       "      <td>13.774435</td>\n",
       "      <td>2983.010498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-05-13</th>\n",
       "      <td>17.982275</td>\n",
       "      <td>13.985171</td>\n",
       "      <td>2962.527344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-05-16</th>\n",
       "      <td>18.384792</td>\n",
       "      <td>14.492851</td>\n",
       "      <td>2995.489990</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2854 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              LABB.MX  GENTERA.MX       WMT.MX\n",
       "2010-12-30  25.710072   18.476227   650.904663\n",
       "2011-01-03  26.457203   18.545977   657.174255\n",
       "2011-01-04  26.518732   18.427408   657.174255\n",
       "2011-01-05  27.239491   17.939169   654.815674\n",
       "2011-01-06  27.511972   17.688078   647.121521\n",
       "...               ...         ...          ...\n",
       "2022-05-10  18.047804   14.037169  3033.468262\n",
       "2022-05-11  17.664007   14.377904  2993.501709\n",
       "2022-05-12  17.439342   13.774435  2983.010498\n",
       "2022-05-13  17.982275   13.985171  2962.527344\n",
       "2022-05-16  18.384792   14.492851  2995.489990\n",
       "\n",
       "[2854 rows x 3 columns]"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bmvStocksDataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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