suppor-vector-machine-tutorial.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Support Vector Machine - SVM\n",
    "\n",
    "Las Máquinas de vectores de soporte vectorial son un conjunto de algoritmos de aprendizaje supervisado para resolver problemas de **clasificación y regresión**.\n",
    "Dado un conjunto de ejemplos de entrenamiento, podemos etiquetar las clases y entrenar una SVM para contruir un modelo que **prediga la clase de nueva muestra**.\n",
    "Representa los puntos de muestra en el espacio, separando las clases en dos espacios lo más amplio pposible mediante un hiperplano de separación, denominado vector de soporte."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "flores = sns.load_dataset('iris')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal_length</th>\n",
       "      <th>sepal_width</th>\n",
       "      <th>petal_length</th>\n",
       "      <th>petal_width</th>\n",
       "      <th>species</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</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>145</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.9</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>6.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>6.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.4</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>5.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.8</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>150 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     sepal_length  sepal_width  petal_length  petal_width    species\n",
       "0             5.1          3.5           1.4          0.2     setosa\n",
       "1             4.9          3.0           1.4          0.2     setosa\n",
       "2             4.7          3.2           1.3          0.2     setosa\n",
       "3             4.6          3.1           1.5          0.2     setosa\n",
       "4             5.0          3.6           1.4          0.2     setosa\n",
       "..            ...          ...           ...          ...        ...\n",
       "145           6.7          3.0           5.2          2.3  virginica\n",
       "146           6.3          2.5           5.0          1.9  virginica\n",
       "147           6.5          3.0           5.2          2.0  virginica\n",
       "148           6.2          3.4           5.4          2.3  virginica\n",
       "149           5.9          3.0           5.1          1.8  virginica\n",
       "\n",
       "[150 rows x 5 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "flores"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['setosa', 'versicolor', 'virginica'], dtype=object)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# vemos los tipos de especies que tenemos de flores\n",
    "flores['species'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x7f2ddb5375d0>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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sHCkmrtyurPPHySBl0JBuNptO+Hxe3O1uvJoPh91G8b8/RmN2Np7cIpytdRRtXYlqF1/l/kZsNsHYneAaF/qAOGkOKIqhDbA70XKKqfM0RLxdjha9aBBHsbNEbDYOrOzQNQ4cOYY+xecxyuQOAzV5thSv7fo0H+42N16/F4fNQUlOCXY13R5Xhf4g3f7rV5MBrl5guHudPNoVV1mXmdBRcqUIAj6flz2NlSyqWERNS00gb8q6T9ex4u0Vhq/yRUuZkFOclqI5QYib3GFw1aouV5tJc+D8xfDYbGjYh3biJVRe9HMWvtbVFpbPWM7xruP5tOFTFr66MK71EwonDOqBihCDcDt0jYNrV0PTwdB1V62C4ZOTMlAx86TEsl2f5mNP/Z6I+8PEwokyUBmEpE2vpihKLvBV4H9TXZdYtHv9uJs9cYnmIdjdSwYpguBudwduQGCEoVxUsYhvTPxGYHnha4uo8zSkspqC0HdU1Xjo+87LcOsOuHgJ/O3bgTfadaeXBwYo0Gn7ry7E3eYOPMzFs76uvS41v0/IDMLt8DsvQ9YQa51Ka21SqlDXXheX7brbrO8P7jZ3UuolpDdpMyzVdb0VKE51PeLhYKMRTjie8MMAeVl27KoiMymCAHg1n2W8fJtiC1nubfx8QUgrVLVLnNxQFeJy48ktsmwLXs3bo/XSVoSYBNshRNiisS55OpV486R4/dFtXxh8pM0gJZMwww8Pi3MmRVUUCnId1EpCR2GgomnGG7govs3Bvsh21U5pXmnIjahsTBl21c5jMx8LZKSX+PnCgELTDC3KDRugpRY2LsPZWhfRFkrzSnGoDsv1dsW67aiKSk1zjWhUhOiE99GOHGudSpK0gGaelHCbDu/nHTYHZWPKmDthLgXOgsD9wKE6klIvIb2RnqwX9CSRo4lLss4LA5UYMfhNX+TyteXMfG4mT+18iqVlSwPx8svGlLFgygJu3HAj8zfMZ8nmJSyYsgBXVnyaL0FIe8w28thseHQmbLgdZtxJ0d63WX7B0ojcESU5JRE5Je6efnfUtjNv3TxmPjeT8rXlVNZXoumSY0gIwqqPbjpo6FJcnRHRTE1K7rCkVMGV5QqxXVNrEt7PF2cXs2DKApZsXhJyPyjOzghHGyHBJHQmRVGUicBPgPHBx9Z1fUYiz5NqzEFKUZzRvQAKcpzUNknWeWEAEiMGf7gv8oqPVxjfs1bg03zYVTvXr78+wgd55ZyVEq5SGBhYtZF//BB1/jom5I+0zB0xoXACj89+nAPNB6jrqON3W3/Hdvd2vmj6gsdnP46ma6iKyrx18yL8/KXtCCFE66NvfNnop/shuldDRwMPbXuIxWcuDsyQPLTtIe48984QW230NFpqUsSmByeJdvd6FngI+BPgT/Cx04bqeiP8sMMWf2N25TrYV92SxFoJQoqIEYPfyhd5xccruHry1YwdOpaa5hrxsxcGNtHaiK6j2uyWD19muOHr1l8Xsr6iuoLb9NsozS+VtiPERzT783vANbZfquDxe6iorqCiuiJk/W3+2yLKiU0LJokepPh0Xf9jgo+ZdlTVtVLSA1cvMAYpR5o9+Pwa9h4MbgQhFfQoF0O0GPydvs1OmzPCx3jbwW2oQM3RfahRNCoKClVHqyROvpAZRNNlWWhRqN4SV76UYD/+U0pO4YaTb2D8kPEoKFQ3VWNTbJSNKQt58LPy8xcGOX3Jk2Jh15pCj3P1WN0HrLSH0cqF666g53UQMo+E3PUVRSnq/PN5RVFuBlYDAQGGrusDKj5iVV1rj5MyunIc6EBdi4fhQ7OTUzFBSADxxrMPYBWDP8i32eUoYMGUBRFx7+995zdUVFdQNqaMpWVLA9tNP3vTBUzi5Atpj+nzH94Ghp0ItbtC11/6e6h8GU6+PK58KctnLOcP7/+BayZfw1M7n+Kaydfwg1d+ENI2wJhhMfczH+IEAYCcYrjiya7w165xcM2z0HQAnr4mep4UC7vWrl1Npervca4eV5bL8j4QrkmJVm7lRytZ8bGRR+uhrz6Ex++RfEGDAEXX+56gVVGUvYAOKBabdV3Xj+vzSYKYNm2avmXLlkQeMm68fo1Jd6zjG1NG861p8U+Tvru3jvtf3sMLt5zHSaMLklhDoY9Y2XCfSaXN9hR3m5vyteURUVi69QnuJrqXu/kA5UGaE/N4i89czK0VtwLGzMntZ92GBigoIRoVs/zjsx9nZN7IxP/gzGfQ22zKaT5kiJHD31TPXxcYiISsv/5FWHFxYL37mlWUb3/Ass0VZRdxuPUw89bNY/GZi1myeUlEub/M/Au1rbWMyh/F8NzhmfCgJjbbnzQfgucXwZSrIacQ2uqN7//7fqRtdmoJA/uF2bX72/9L+fuRNhhLMxLvfSVaueD7xYMXPsivNv2qx3XoI0mxWaF7EtKT6bp+bOdA5Eudfwc+wOREnCNdONDQjqbDsCE9c/cq6EzoKGGIhXSnVz7BZgx+11jjO8hlwBMlL0qBs2uwXlFdgab5KM0vxRelvMTJF9KWqD7/Xuv1mi+ufCkevyegTTHbjFU5n+bjuvXXBcT0ghCCzwO718Iz18KKOcY3xM6TYmHXnqy8XmlG4r2vRCsXfL/IseeIbmWQkOje7K0412UsVfWtQM8HKYVm1nmJ8CWkOaYffDA99nPXNOMtXEMVTsVmebxGT2Po8RXDlcthc1iWlzj5Qtpidxoakyv/CtevNb4nzQHV3hXi1cQ1DmyOkPVmvpRggtuc2SYbPY2W5fy6X7QoQhdB/S/Nh8BmYZ9gbZvBeVJMLUsQzo6WXt0f4r2vRCsXfL9o87X1/R4lZAQJGaQoijJSUZSpQI6iKKcpinJ65+cCIDcR50gXquqMQcrwHg5SXLlG4znYKDMpQnpTlF0UkaOhR37uYTH5i3b8g+UX3B8RH39N5Zqu419wP0U5hoalJKfEMp6+hJ8U0pacYjh/sZH/ZMUc4/v8xfDxWkODEp6LIn+k8d25vmjrSst8KWabM9vkmso13D397pBy919wP/+35/9EiyIYWOVE8XVE2mduCVz1VPd5Uky9YVCZooLxvbo/xHtfsSoXfr8YM2RM3+5RQsaQKE3KPOB6YBoQ7BDaBKzQdf1/+3ySIFLpd/o/G3bz4Guf8MQNZ2FTe+ai+P2/vsesk0bym8tPSVLthAQgvtL0MLpXOOF+zFf+FW3fZurOuA6Pasep+XBVf0jDsWfj0X04FTtFOcNQ7V0zJT7Nh7vNjVfz4lAlulcMxGZTTTRNysx7jWhe02+FvGFQMAaGlHZF/QrScVlF9wpuc2ab1DQNv+7Hr/uxKTacqhNd0TMtupHYbLKwssXyZ2HtjyPt87sVoPv7JboXxH9fCS/nynLR0BHaNqDfo3uJJiUFJOSur+v648DjiqJcruv6c4k4ZrpSVW+EH+7pAAWM5I8HGsXdS0h/VEXt/cxFuB9zTiHq28speXt5SLGSW3dEuht0YlftIpIXModompScQiPcsKkBuHVH10OgqePqRIVu21yf2qQweLCyRUeutX1622LnSQmzU4htq1EPFacNW5Wz2k/aw8An0a8mxyuK8qOwdY3Ae7qub0vwuVJCVV1rj/UoJkV5Tmo6s9ULwoAi+G2booTG5G+rxztrCe4vz8Gna9gVlZKP1uII8n3u08yNIKSaaHko2upDl+2RPvPBMyQaGpquhbSBaG1D2oxgiZUtelut7dPmjJ0nxYJ4bS8wI+73Rs13JXYsdEeiLWEasAAY3fm5CbgA+JOiKIsTfK6UUFXXxrAeJnI0Kc7PkpkUYeAR7gP94mIjJn/nLInX66Vywle4fsONXLx6DtdvuJHKCV/Bm11o7N6Zl6V8bTkzn5tJ+dpyKusr0XQtlb9KEOLHwnefK56EbatCl3OKQ3Yzbf+Xb/2Sz45+xrx180LagE/zWbaNaOulzQiWtlh4XOS6q1ZBR1OoduXwTqM/74Z4+2uf5mNP/R7mrZvHxasvZt66eeyp34NP8/X4WMLgJSGalMDBFGUDcLmu682dy/nA34HLMGZTEhKOOFV+p+1ePyf+Yj3fmjqGfz99TI/3/8cHNazavI8P/+trDMmWSEVpivhK9xQrH+hJc+DiJaDrHLDbLfOerJi1glH5o3qXl0UIRmw2HQifTdz0MIw7sysvxbZV8PWlIa4zpu1Hy3/y+OzHmbduXtzrM6jNiM0mE6u8VRC6TrHBn8q6z5NiQbz99cGWg1Ft13TlzbC+XzQpKSDR7l7jgOBA1V5gvK7rbYqiZHxYq0Bkr15mjC/OMyN8tcsgRRg4WPlA714Ls+8D11h8R6ui5naAXuZlEYR0I9h3v6EK3l4Ob4eVmX1fyKJp+9Hyn3g1b4/WS5sRAEsdCRC6rqEqdp4UC+Ltr73+6Lbb02MJg5dED1KeAjYpirKmc/nrwCpFUfKAnQk+V7/zmbsFgFEFfRukHGhsZ8KIIQmrlyD0NyF+xHY7BbOWcGTihXhtNhx+PyW7X8auKNBQhd1upzSvNOJtmV21U9Ncg6qoXP+l65kycgoFzgIaPY2sqVwjMe+FzCD8rXVOcaQuCyw1KeH5TyLaiGKnbEwZcyfMZVTeKIY6h6KgBNrMio9XhJSXNiMA1jMp4VqTaDoqC91UME6bM2CTIf216sTd5g5oS8x8V1Y2XdNcg9PmJNuebXmsbHt2yLFEpzJ4SeggRdf1exRFWQdMx5gaW6Drujn3Wp7Ic6WCz2r7OEjJNwcpIp4XMhfTj3jhqwupaanh+i9dz+wJs1n06g+oaakJxLWf+M4j2N96gJJZS1hatpRFFYtCtv/6nV9TUV0RWH5o20Mhyy5HQezKCEIqMfVYT19tPOyZ2pMPnzPyo/zjh13rw3NQ0JUT4g/v/4G7p9/NXRvvCrSRu6ffzatfvMqCKQtC2s7d0+/mqZ1PsWDKAgBWfLxC8kQIXVjZ5FWrYPjk0IFKTrFhq3/7dqjthummwnFluSJscmnZUtr97dy44cbAuoe++hDLypZxa8WtUfv9h776EN+f8v2QMsvKltHY0ciClxYE1i2fsZwJhRNkoDIISagmBUBRFBswgqABkK7r+6Lv0XNS5Xe6+O8f8NLOQzxYPrVX+/s0jXmPbuaHZSfwo69Nim+njiZ4+w+wfysUnwBnfz92yEChL4ivdAzC/Yj/b+7/cfPLN0f6Hs/4AyOXG23FO2sJ7pMuxaf5sKv2wI0quPziMxdza8WtgeWVs1ZQkj+qH39ZxiI2myp6kx8ljPD8JwdbDlLXUcejHz7KDSffYKlVMTUsK2atQEfPxLfNYrPJIppNhmtNmg/B84tgytXd6qbCiaYjuePsO7j5lZtD1q2aswqP5sGrebErkf3+gxc+yK82/SquY6WBTkU0KSkgoTMpiqLcAtwFHAL8GP9UHRgQ2Qs/c7cwspezKAB2VaU4P4t9ndqWmLTWwWOzoXYXuI6BT1+FrSvgW4/DhK/2uh6C0BfC/Yhtis3a99hmCyw71i9m1IkXg2ssNc01ITcqs3yBsyBk2RMUBUYQ0pLe5EcJIzgnRNXRKq5bf11gWzStirnep/sYO0ReWglBRLPJcK2Jz2NoB3evDV0fppsKJ5qOJMeeE7Gu3d9Oab6RFd6q38+x58R9LNGpDE4SrUn5D2CSrutHEnzctOCz2hZOHePq0zGGD8niiyNxDFJ0HVYvgLrP4Kv3QOlpxpuPinvh6Wvg26vhmPP6VBdhEBPDZ1nz+6hrq8Wj+XCqnRnhbUZ3Ee6TbFftln7FdtVBzXc24Gyto2jrStROX2fTDz/87VmjpzFkWVVt1BytCpwfVZV4+kJ6EezXP2Za18xJtstYrt5iRLrr1Gdhd6JlF1HX7kYD46PrqKqKihpoS+bDXDStSmF2IWVjynCoXQFYJN+EABg2OWlO5AxJuNbE7kQ7ZyF1Z1yHR7Xj1HwUvfsEqiOn29wp0fpvVVFZVrYsqq7Qar82X5vlsdp8oS7xZWPKUBU1oGVJUcZ5IQUkepBShZG8ccDR2OqlrsVDqav3MykAw4dk80F1Q+yCu16Ayg1wxneNAQoYU7Bf+xWsWwzPXg83b4K8+Kc/a1trWfvZWuyqna8f/3UKssTnf1ASw2dZ8/uorN/Dwte6fI6XX7CUCYUTUS0DORUAACAASURBVG32CJ/k26bdZumj/Oq+1/nNlt8Y+1+0lAk5xah0+eGbmpZgTQoQWL73nd90+S5f+CAe3Reyj/gpCynHzElRcS+c9b1QDcqlv4fKl+Hky40Z8YZ9aOcspHLqVfzhg4e5ZvI1ERqUYK1JRXUFayrXROi57p5+Nw+89wALpiygKMt4WAvXiUn7GMTkFMP5i2NqTbTsIiqnXsXCV38Y1M/fzwRPK+rjc6LqWQqcBRE2+eBFD+Lxe/jZv34W0qe7srpe6lr1+2OGjIlYt3zG8pABTdmYMhZMWRAIZxxcRnQrA59E50n5CzAJWAsEQg7run5/wk5CavxO399Xz2UPvsWPvzaRaeN7L05cs20/T79bxY67Z5KfFWWMqOvw0HnQ3gCX/gFUW+j2ur2w9kcw4SKjA1Fiu0puPbSVm1+5mRavIf4vyi7ika8+wqSiOLUxg4eB7ysdw2fZ3XyAcou8JqZGJNwneVnZsqh+8yEakyCf4vC3vi5HAQ3tbjyaD1W1BQYoJtF8l9PATzkdGPg2m85oGjTVBAYiAVzj4PoXYcXFgfXuhVsof/WHUfOiBGtNfLoPh+qgOLsYd5s7RKuy3b09JOdEhuWbALHZ5BGnJiVqPz/jD5Qsnxp134MtB7l3070hM+dDnUO54807Ytqf1WwfRM6IBK9TFdUy30oKdCuiSUkBiZ5J2df5cXZ+Bgx7O8MPlxbkxCjZPSM6c6zsO9LK5NKh1oU+q4BDO2D6osgBCkDRsXD6PNjyZ9j+DJx6VbfnPNRyiFsrbmWIcwi3n3U7Hr+H373/O25+5WaeueSZdL2JCckihs+yR/NZx66PktekO7/5kP2DfIqD/fBNTJF8zdGquH2XxU9ZSDmqarxYsmpTmi9kvUe1d5sXxVyvo4doTXyaL0SrYpY3c05IvgkhQJyalKj9fPgzR9i+Xr+XiuqKkD76sZmPxWV/Vv0+0O26muYa0a0MYhIdgvhuAEVR8nRdb0nksVPNZ7UtqIqhKekL5v776lqiD1K2PgFZQ+HYr0Q/0ORL4fM34J+/gBPnQFb0vCsPbH2AZm8z/zntPxmVZzwILjxtIfdsuoffbvktv/7Kr3v9e4QMITwbdjfx8Z2qdV4Tp9qlSQneHs1vPlxjEm8OB6vzt/narGPzS14IIdVomtGmbtgALbVGVK/qLUabUu2GPmD3WrQx01BtDp6Y9QRDs4ZGbTNmWwl+6xyuVTHLm5qUaDoBaR+DkDg1KVH7ec0feryw3CkOmyOiL9bRE2p/wbavKqql7YfrVsTeByYJdd5TFOUcRVF2Ah93Lp+qKMqDiTxHqtjrbmH40Gzstr5dssBMSrQIX+2NsGstHHc+dNfgFBXO/B60HIbXl0QttrtuNy989gIXjb+IUUHhXMcNHcfsY2fzwmcvsO3wtl79FiFDMDUof74Ilp0ELy42fJRd44ztYTkcinKGsfyCpZTmGVFZTE1KUU7n9k7fYnP7toPbWFoWWn5p2VK2HdwWur8zvqATVuc/dsgxLJiygCWblzB/w3yWbF7CgikLQnyeBaHfMdvWY7Ph0Zmw4XaYcafxkHjp72HdT+H8xYYWZdY9zNtwI9etv44H3nuA+y+4P8TG755+N2sq17B8xnJcWS4q6yspX1vOzOdmcv3661kwZQFlY8oC5ZeWLQ28bQ5vk5I3ZRBjalI23A4r5hjf5y+O0KQUZZewPMwGl19wP0W2vKj3BoDi7OKIvjiR9mfqq0zbn7duXoTtL5+xnDFDxoi9DwISrUl5B/gm8A9d10/rXLdD1/WTEnYSUuN3etH9rzM028FPZvZdw3HTk1uYc/IofnO5RWTmHc/B32+A2UsMsVos3lwGe1+HhVu7OpYgfv7mz9nw+QZ+e/5vyXXkhmzr8HXw03/9lJNKTuLhrz7c258z0Bh4vtJWPsqT5sDFSww3lR5G94LIN13hPsprKtdw+2kL0VrdXdG9Lrm/2/j7wYSfH9VO+YvXZpLPfX8y8Gw2U4jm/3/Ns/CPHwRmVNw3bqB8w/wQ+y0bU8bPzvoZOjqqYkT3UlWVouwi6trrLDUmwVqVkpwS7Kp1m8yAaEdis8miB3lStI2/j4zude4Pjf9OlOhe0fRPqy5ZhaZrfba/aMd/fPbjaLqWyuheoklJAYnWpKDrepUSKuT2RyubKXT4/OytbeHrp5Ym5HijXTl8crjZeuPudUb4ypI4B0OnlRuDlDf+Gy79XcimuvY61u9dz/TR0yMGKABZ9ixmHjOTZ/c8y0dHPuLLxV/u6U8RMgErH+Xda414+FESg6o2e7eJFIN9i8349+E6ktsmXUPpn2d2rZj1m7irHH7+aH7J4oMspJRo/v+tbmOA0rns0f0R9ltRXcFtZ90WyCMRTDSNSbhWJZho/v7CIKMHeVLUt5dT8vby0PVn3dRtwuhottnua7e05Z4S7fiarkUcX+x94JPoYWeVoijnArqiKE5FUf6TTtevTOaTw834dZ1xRX0TzZuMduVQebiZiFksvxf2/NOIr28lmLcibxhMnAnvr4Qjn4Zsev7T5/FoHmaMmxF19wvGXkCWLYu/7f5bT3+GkCmYuRyCCfMzjoWma7jb3NQ01+Buc6PpWmCb6Q8fTGleKc7Wuq79T7wEt83Ie+JuPoDm71mixqjnEB9kob/QNOMtdUOV8a1p0dtWW73Rj1/5V/huBU7FFrDfU0pOYVnZMp6Y9QSqooa0JZNo9m7mighvg8IgJ9g2Tc1hMK5xaI5s3E011Bzdh7upBs2Z16v7gpkna1nZMh6b+RjLypZRNqYsYX2x9PVCMIkepCwAfgCMBqqBKZ3LGc3ug00AjC2KnI3oDWMKc2hs81Lb3BG64Yu3oKMRxp7VswOefIUxqAnTpqz9bC3HDj2W0fmjo+6aY8/hzJFn8uJnL9LkaerZeYXMwMzl0I2fcXeE+wiXry2nsr4y8JBU5Ciw9m3eutLY/8RLqLzodso3zGfm6ospX389lfV7ejRQEZ97IaWE67r+fJGxnFMc2baueBL2bTa0KRtuhz+VUbT2Jyw//7eUjSnjltNvYcnmJVy3/jrmrZsX0pZMrOx9adlS7t10r2UbFAYxcWgOtfK/U9lW29kHz6F8w3wqWw+gzVvb4/uCmScrWfpA6euFYBKqSekv+tvv9Ncvfsxf3tzLY/PPwK72fVz34f5G7n3xY576zlmce0LQdOW622DLX+DKp8DRw6SR7/4FPl5jJHgcNonPGj9j7v/N5apJV/G1Y77W7a57G/dyz6Z7uOOsO7jyxCt78YsGFAPTVzpGhvnuiJmDobEabd1PqTu9HE9ukaFB2fs26pk3QmM17qLxlP/zO1HzrsT9EzLL574/GZg2m0505+efOyy0beUUQ/PBiLwp2omXcHjOfczbcGNc2ior3Vd4hKMM1mSJzSaKaJrDC+803A7b6nGPOonylxdE2t3MxyhRbD26L/RHTp407etFk5ICEqJJURTld0DU0Y6u6wtj7O8C/gyc1HmcG3RdfzsRdUsEuw42MaYwJyEDFDDcvQA+qW0OHaR89hqM+HLPBygAJ38T9qwzhPSX/ZFXvngFgDNHnRlz12OGHsO4IeP4256/ccWkK1DiSA4pZBiqGrdoPZyYORj8XtRdL1Cy64XQHadeByvm4Ll1W7d5V+JFfO6FlNGdn79V27LIm6LuegFt1q/i1lZZ6b7i2U8YZETTHJ5zsxHdC6L3wboPhvRMR9IfOXmkrxdMEiWc7+uriweA9bquf1NRFCeQGL+qBLHr4FEmDo+eh6SnFOY6yHPa2HMoyL2q5QjUfgynXRd9x+7ILoATvgof/g1m/Jw3qt9g/NDxcU3BKorC+WPP58mdT7LDvYOTh53cuzoIaUusaF3dETUHA4rhAx2UCyLApDlgc8D1a3F25niIyHGi9rD76cNskCD0CVN7EiW3UAimG2NYee3ESwJ5UsIzx6soaEcPoKqqpV1LHpRBSjx9XjTbbKsPLDo1f5TcVw7czQdC7wtgzAT6vUYfnj8Sgu4VpiZFclYJ/UFC7vC6rj/e3ccs1znjEoKiKEOBfwP+0nksj67rDYmoVyJoaPVw6GhHwvQoYAwKxhTmsutA0CBl31vG98g+RGv+8jdA12ncuIzt7u2cXBL/YOOskWdhV+28uPfF3p9fSEs0v4/K+j2Ur7++V5oQSx/hC5ZS9MJ/Gj7QKy424vBPMt7aMWmOsfz412HFHFwfrbX2Yc7uwZuyaJoATXzyhX4gpzgyt9AVT0bknsDvg0M7jPwol/4+UF478RIqL/xZIE/Kks1LuOX0WygbU8bd0+/m3nd+TeXRvWgv/MjSrsVPfxASb59npTm84kkjgWPncpHitNANLqXJ1xp6X2ioRDvyieGquHyK8X1oR9fAm+RrUgQhmH7VpCiKslXX9dPD1k0BHgF2AqcC7wH/0V3G+v70O9302RGuemQTP511IlPGJq4RPrpxL2996ubDu2aiqopxU9vyGFz9tPH2orf8639Y797GT4qHcvuZt3NC4Qlx7/q7939HVVMVL3/zZWzxRhcbeAw4X2l38wHK11/fJ01IiI8wCkUv/CdqsHuXaxxc/yJoPmNmZcXFgTd77mtWUb79gb75MMcb+39wMuBsNu1oPgTPL4rM4v31paH211jdpUUZMw2m3wp5w3AXjovIk1KaV8qDFz3InRvvDMyorDzlPyh58aeWdp2mfvq9RWw2Fj3p88JnXHKKoe1IyAyMpvmN2XTdh1Oxo6oOrl5nkXvqtMWUPPnvoeecvw4KxgD9o0lJU8QPPgUkPE9KL7ADpwO36Lr+jqIoDwC3Ab8ILqQoyk3ATQDjxkUmLUwWO/Y3AnBMcWI90MYX5fLSTj/V9W2MK86Fz9+E4Sf2bYAC8OXLefPt7eQrdo5zHdejXc8aeRbvH36frYe3csbIM/pWDyFlNhuOR/P1WRMS4iPcUAXh+hPzRlp0rLE96MbqyS2iJKeExWcuDrgHPPrho6E+zLHcGuKN/S/0iXSx2bTD5zHcGYNdGgFm3WvYu2mzfm+XnVZvgWeuBcDzow8t22B9u+GSs6xsGQXOAjzZJWj5w1Et7Fr89K0ZsDbbkz7PShcVtqyqKiVB+pOao1XW94WsvMhz+r2BRY/fE7s/F4QEkQ6vYaqBal3X3+lc/jvGoCUEXdcf0XV9mq7r04YNiy90aiLYXt1ISb4TV25i/S3Hdw56dh44Cq11cOgjGNEHV69OtMLxbMwfwrmtbdh6mIvi1GGnkmXLYt3edX2uh5A6mw3Hqdqt4873VBNiEivvStj2bL+PW0+/NcQ94NbTbyXb1hkgIh63hgTkehFiky42m3ZEsz/3nlCbtTksyzkV6zao6VogJPH8DfOZ//L3qJz9/9AcicnJNRgYsDab5D4v6n2hI8yJxTUu5OVpti27+/5cEBJIfw9SIqbLdF0/iJEE0kyxfiGG61dasK2qgeOG5Sf8uGMKc1GAjw8chap3AB1G9F2wvrtlP25F59+aj1Jc+UqP9s2yZ3HqsFP55xf/xKt5Y+8gZARFOcNYfsHSSE1JTi9v6LHyroRt11Qbd2y8I/DWrqalhjs23oFmvnlrrYWnr+56a9iwz1hurY3/nIKQTKzsb+6D8Pp9xrJps45cS+1KkT2X5efcHZr35IL7URSFuzbeFdI2Fr59F3XiWCIkuc8rUrNYfsFvI+8LQ0ZH6lvyRwb20/ye7vtzQUgg/e3u9UCU9bcAKzsje30GzO+/KkWnvsXDvrpWph9fHLtwD8l22BhVkG0MUtR3QbFBSfz6kWi8WfcRAKfZXQz74FncJ84yMtDGyVmjzmLzwc28c+Adzht9Xp/rI6Qe1WZnQuFEVs5a0avoXpEHVGH4ZMM32so9K2y7RyWKu1nnQDget4ZY5xSEZBJufwB/v95w6TJp2AeeFmNGfP66kOhIatMBJqz7OSv/7ceBXEKujQ9ysOy2KG1DHvgGPUnu81RPCxM2/pGVM36PR7Xj1HwU/WsZ6oV3RdhvcHQvj+btvj8XhASSqDwpz9N9npRLO79XRNm+DZiWiLokkg+qjSBjxw9P/EwKGBnsdx44CvoWw5ff3vfp0jfqdjA+Zzi+wonkbH2Kgqp3aRwXO1eKyUklJ5Frz2Xd3nUySBlAqDZ7jxInRhCmGfFlu3Djx6uCAz/FmpfGjqZQUW+nT7Sz+UCU8Jed3U+84V37kOslvp+oc6TFg8fnx2m3UZznNIJaCHEzIK+hafuaBrof41anwJyl0PAFbFxmDFZMm7XZAyLjAHYnavNhSp66umudaxzZF94hoYXThIy2Xb+v27DBltidqHvfoOT9v3atc40D9Ej7DcJ0Ewu3WYfq4GDLQbx+Lw6bg5KcEuy9dSkOY4AFjRB6QKL+y/8D/LabT0ayvboRBTi2JC9m2d4wvjiPmvoW9P3vQcmk2DvEoNHbyvajezl5yDHUjZ6CJ7uAER8826NjOFQHp484nVf2vUKHv6PPdRIGAGGaEd9bf2BP46fMWz+fi1dfzLz186ls/JRfvvVLZj43k/K15VTWV6LphqYkprtZGrhyaZrO7kNNXPbgRqbfV8FlD25k96EmNK3/oh9mOgPyGpq2//wiQ3/y2GxYdrIRvc6M8DXjTiPsdnc2G8XGh2YXsbQstG0sLVvKUMfQfvqBAqSp7cYbgtgMe91N2GBLetnvWvbnZcs46mth3rp5xj1h3Tz21O/B18OEvVZoukZlfSXla8st7y/CwKZfQxAniv4KM3jjinfZc6iJJd88NSnH3/pFPWteepl/Zv0UzvsRHD+jT8dbX/seP/n4L9x+/BWckFfKyMpXGLtzLTu++RBtPXAl2+Hewf3v3c+yC5Zx4fgL+1SnDERCY4YTFgrz4ML3mPfqDyLepC0+czG3VtwaWA4OSRkzmWSKEzXWNnVw2YMbqa5vC6wbU5jD6punM2xIVr/Vo5ekhc1m+DW0xrT9mffChtsjZ/vM9fPXGZm7u7NZCxs/0HqIX7/z64jEeD8762eM6svMZ/qTFjZrkpa2G28I4uCw18HlgsIGR6WX/W54f64rdq61CGf8+OzHGZk3spsjxSaNQh5nyLTawCKhmhRFUSYAvwYmAwHfJV3XexYLNw3QdZ1tVQ18uTR5b7TGF+dymvqJsTCs7zMpb9Z9RJ4tm+NyjU6hdvw5lO5+mZHb/87eGbfFfZwvFX2JfEc+Gz7fMBgHKUI4YZoRr81m6ZNc4CwIWQ4OSRnT3SzJrlyx8Pj8IQ8oANX1bXh8/hTVKPMYkNfQtP2cQmvdlLle12M/3FnYuE/zUVFdQUV1Rcj6n5zxk0TUXoiTtLTdeEMQB4e9Di7nj0Mj0st+N7w/r4oSzjgRAXg8fo+1BkaE+oOCRAvnHwPuApYCZRgC+Iwcfe5vaONIiydpehSAojwnZ9o/pVXNJ3dIaewdukHTNd6s+4gv548L+Gr6nbm4x5/JsMoKqs/8Dt78+N462FQbU0dM5bXq12jztZFjl3CYg40QH2C7naITLwkkb3T4/ZY+yY2expBlJ0pXDgmL5GL9LXrvzufcabcxpjAn4k2q0x5/UtOM9mlPAN1dw/BrU5jjoL7Nmx7Xqru3yaZeqq2+SzdlJml0jYccF/zHh0ZZv8/QAcT5dlrTNexR/PsT5csvxIeV7X5t8nAURWF/fWvARoH+a+N2p+FGGJ5ANFyrZ3NElmvYbyTVrdtrfOePBHsfc7B1g8PmiKpTcbe5+6QlcdqcotsaxCT6KSFH1/VXMNzIvtB1/b+AvvkwpYjt1cYD1/FJCD9soigKU22fsFM5oUcRuKzY3bKfI94mTh5yTMj6g8f9GwoaI3as7tHxzhh5Bm2+Nt7c/2af6iVkHhE+wOuvp/Ki29FOvASAki1PWPrRr6lcE1hefsH9FG18sMuX+tAOw6+/O9/qZP6mGD7nxXlO/nTdNMYUGgPyMYU5/Om6aYEHk74efzAQ7RoW5jhCrs3PV29nV7pcq1h+/6bf/rZVcOnvjYfBGXcaLl4PfwVWzIH6vbDup4aN+7xx6QjMNvbUzqe4/4L7I9qSJG3sX8Jt92uTh7Pwwolc8fDbITb6+ZGW/rPbnGI4f7FhayvmGN/nLzbWB5M3IrTcvs0w/mxDN7V8ivF9+CPDNpNESU5JxD1hWdky2nxtfdaSFGUXsXzG8lANzIzlFGUXJfx3COlHQjUpiqJsBL6CkZDxVWA/8Btd1/vuyxREf/j3//rFj3l0414enXcGdlty3vjaPEeZ9sxp/N5/OT+4fh62PryR+dO+9Sz//B8s/dJ3KXCECv2Pf/dxhro/5YNvr4o7SZhf8/Pj13/M2aPO5rcXZGzsg96QVr7SqSCqD/CM31Ny9BC01ePzenEfdzZezY9DtVG843kai8YGwqsWbV2JeupVgYzbAf/94OVw3+okEo/PeV9mQlLs0542Nmt1DY+0eEKuzcPfnso9L+xMD///ePz+g6N7aT7joS+aNuX6F623h9l6cBu77PjLmHfSPGyKjSxbFiU5JThsyXvrnSakjc2aBNuuoihc8fDbETZ6z9yTmL/i3ZB1SbPbeDUp4eVufgee+lbkfte/CK6xia9nJz7Nh7vNjVfz4lAdOFUnV6+9OiFakjSJ7jV4psXTiETPKd8K5AILgXswZlHmJfgc/cK2qgbGF+clbYACkH9kOyo67/pP4POjGse74nctCedfdR9xTM7wiAEKwMHjz6eo5gNKdq3n8MmXxXU80+Xr9erXafW2kuvI7XXdhMwiqg9w6xHjTR1GxzHy1h3GTa9uL6xfTMRt5+zvd/1t+u8HL4f7VieReHzOVVXp9cNGWvq0pwCraxh+bVw5jvS5VvHm6DEfChuqutemaL64dATBbWz1p6tZ/akx073h8g2DYYCSlgTb7v76VksbzXXaItYlzW7j1aSEl1Nt1vslINJWd9hVe4hIvqa5JmFaElVRZXZxkJLQQYqu6+8CKIqiAgt1XW9K5PH7C7+m8+H+Rs47IbmNIr92GwAfaMfz8ZHeD1KO+ozQw7OHW6eaaSk6hqaiYxmx/TkOf/lSoxOLgzNGnkFFVQVv7H+DWcfM6lXdhMwjqg9wa11XoUlzDBfFhipQ7WgnXkLd6eWhMylt9V3lTb/+4OVw3+okkgjNSSqPn8mEX5uGNm/6XKtoOXoUxZg5UdVQjYmiWJc3NSuqPaaOQNM1VEXliVlPUNdRx6MfPsp293bxs08jorXnVk/ogCSpdhvNNm1OY/bE1DzZwsppfuv9rHROSYyq6LQ5KRtTFhG5Tmxc6AkJnSZQFGWaoigfAtuBDxVF+UBRlKmJPEd/8GltM60ePyckUTQPkO/eRntuKc1KHh8f6f3bmLfrd+FH45QwPUowh44/n+ymgxTu3Rj3cScWTsSV5WLD3g29rpuQeRQ5XRZ5Te6naOtKo8CkOYYP9GOzYdlJaO88QuVFt1O+/QFmvvJdyrc/YGhY9m02yrvGwRVPGg9rwcv96FPcV81Jqo+fyYRfm+feq+Kha6emx7WyyhVx6e/hxcWGlsTvC9WYbHrYsN3w8ttWGevzh3erIzC1KPPWzeO69dexZPMSbjn9FsrGlImffRoRrT2PL87tP7uNlsekoylU89TRFFru/ZWRNnrFk5Aflv8k3jwsvcSV5WLBlAUs2byE+Rvms2TzEhZMWYAry5WQ4wuDg0RrUrYDP9B1/V+dy+cBD+q6fkrCTkLy/fv/tqWKxX/fzm+/dSqlriRFttJ1pj07jebik/lG7QKOL7Tx6OzeJY28Y/cTvOzexgOTb4rup6lrnPzKb/DlD+Pjy34X97FXfrySN/e/yetXvk6ehSvZACTtfKX7neZDaC/8KHRmZO/bqGd/zwi1qighcfnd16yifPsD0TUsBWNg819g3Jmhb5cvXhI7jn8CSXb0rRRG90p7m0376F5NNUa+iZba0Azy89eF5qC48q+G7V54J/g9kD0UUMDbZjwcnv0965wVnTqCaHqvx2c/zvDc4YMpi3bG2Wy/R/cyKhE606HY4E9lkfb13QrQ/V2uYB+vheMvMLwmNL9hm2fdFKpJiVfz0kvSKL9JohBNSgpItCalyRygAOi6/qaiKBnn8vVBVQO5ThsjC7JjF+4lWc37cHTU01YwgWM7YOeR3r29MEIP7wwJPWyJonLouK8w/sPV5B/8iOaRX47r+GeMPINX9r3C61Wvc/FxF/eqjkKG4fOg7nqBks6QwwHMm1yYX74nt6h7DcsPt8Dby+HtsPPM/H9J+gHW9EVzkg7Hz2Ssrk3aXCtVNQbfj84MXW/mmgh+iMsphN1r4ZybA/qsEM64oVsdQTS9l+kCJqQP0dpzv9pteB6TaJoob1vXAKRuL2z4aeSxzrghdDlezUsvkfwmQiJI9CBls6IoDwOrAB24EnhNUZTTAXRd35rg8yWFD6oaOG5YHmofwwJ3x5Da9wFoLTiBY9vhtf06De06ruyendMIPXyUbww5O2ZZ97gzGb1rAyM+eDbuQcoJrhMozCpk/efrZZAykAh/Q5ddBC2HjIcy1Q4z7wPX6K6Zj32buzQoYX75zta67jUs0Xyk+ygQ7u+Zi8GeB6UnhEdKsimgqmr6XrNg/38zD8rQ0UZb+N6/oOEL2LMeckvghg2Q7Yru93/DhsgZmU5NiuR8SF98Po3DzR14/RoOm8rw/Czs9hQPHMP7aUeOtebJkdOlU1Ht8WlSomleEqQVFFsXEkGiBylTOr/vClt/LsagJe1zprR7/ew62MScU7rJjp0A8t3b8Nuy6cgbw7GdSe13HvFz7uie/Uv+VbcDgJOGjI9ZVrNncfiYcxhV+SpZjTV0FMROIKkqaiDKV7OnmXxncnU6Qj9g+iI/fbVxgzpnIZx8Ofzt28ayqTkJXzbdWCbNMXycO7cXbV3J8ouWsvC1RdS01HRqWJZS9HLnTInpI20eL+AjPbL7enb7E4y8JN99YgvV9W0BeHueKAAAIABJREFU//BJI4Yk5SG4v8+XyVhdq/suP4XH39rLoq9OSs9rZvr/V9wLZ30P/vHDLlu99PfGIH3ad7pCu06aA996Ap69LtSm1/3UmGkx93vnYSi73Tg+XTkfFr66sKutiBYl5fh8GrsONbHgr+8FbPaha6dy4oghqRuohPfTrnFw1VOGq6Fph65xcM2z0HQAnr7Gsn/u6m+Hhx7ftPmQ468K2GpfEVsXEkFCNSn9RTL9+7fuq+ffH3yLH311Imcck7zGdPLauaD7+WLaHdS1w7dfgl+ck8WNp/RsKrn8/SU0+9u544Sr4irvaGvklJd/Re3kS9h33i1x7fNJ/Sfcu/lefjX9V8w9YW6P6peBpL2vdJ+JFVf/yr8agt9oy2DcCC9eYrjJ2J1oOcXUeRq64tg7XajBGeaDZ2psDmOAYuv9O5L+zkuS4jwosUgrm412rX5xyWTueWFnulyzSExtipWm5JpnI3NPTJoDs+8z/lYUQ2y/e23ofvPXwZDSkIhJaZLzIdWklc3WNLRZ5kX52/fOSZ4uNRbRNCNzfgsrv9W1rvxZWPvjSNu88E5odXevAUxidC8YcLaeZm9WBgeJju41QlGUvyiKsq5zebKiKDcm8hzJ5oOqBiC5meZVXzu59R/TVnACAEXZ4MqCj3uoSzniaeLDpi84Zcixce/jzSmgbvTplOxaj72tIa59jncdz/Cc4fzj03/0qH5CmhIrrr6Z8yHaMhgPY7pu+EHnj0C12SnJKaE0v5SSnBJUm93wpe7cjt1h3CCLjjW++zBAgf7PSyJ5UOIn2rUy86Ok7TUztSlWfvpWuSd2rzVyT7jGGvsFD1DM/XQ94qHPzPkQaCuZ+9A2YPD6NUub9fkTE+mqV0TTjITnLHPkWttmq9vQTT1zrbHst8g4b2pezH46gQMUEFsX+k6iLWYFsAEw/Yj2YCR4zBi2VzdSmOugKInhMHPrPkLVfYFBCsCxQ+hxGOJ/1e1AR+fUofEPUgAOTJiB6vcwctszcZVXFIVzSs/h3YPvcqD5QI/OJaQhpi+yiakZMTFzPkRbhp77Lmua8Wawocr47kWYS59Po6ahjS+OtAAEQoGahOcs0DSd2qYO9te3UtvUgabpUY9X09CGzxe9TmbehO7OJxhEu1ZmfhQAj8cX97XvV8LbBhjL4W3EXG/qqqLtZ+ZbEdIah021tNnwZM5er5/99a18caSF/fWteL1JHHBHsylva+g6b6t1ufC8VFYawAT0y4KQTBI9SCnRdf1vgAag67oPSNPXZtZ8UN3AcUmcRQEY4jZE8yGDlALYU6/h9cfvfvdG3Q4KHfmMy+6ZD2n7kBEcGT2V4TvWYA9O0NcN55aei47OC5+9ELuwkN6Ex98Pj6tv5nyIttxT3+UExOM3fcavePhtzv/v17j7+Y/4Yze5NkxdxGUPbmT6fRVc9uBGdh9qCgxUwo93xcNvs+tQU9SHZcmDEj+FOY6IPCj3XX4Kz71XxX2Xn8Ldz3/E7toW/usfO+K69v1KtLwpUXNPjOx+PzPfijz8pTUluY6I/uSP106lJLfrwd7r9bPrcDNXPrKJ8//7Na58ZBO7Djcnb6ASLU9K4XGh6wqPiyxnlZcqXAOY5DwpgpAIEp0n5TXgcuAlXddPVxTlbOA+XdfPT9hJSJ5/f3OHj5Pv2sDlU8dw+enJy98w4Y0fMvTwFirPWxZY92o1/PZ92PCtPCYVxX4769G8fOWtxZzpmsh1Yy7scR2ymms5+dX7OPzluew77wdx7XPf5vto97fz/DeeR0li5LMUk1a+0kmju+heNgfkjYD2uq7tOcUQrDHpie9yAuLxW/mMf23ycO76uhGlLjzaViwNSW980NM4ulda2WxtUwc/X72dy6eOZfiQLIrzs2hq91Jd38ZDr33K+1UNAY3K9558D0gD//9gwjPMKzbD1mPpqrrLt5Kg3BMDiLSy2ZqGNh7f+BnfnDYOm6rg13T+vmUf86YfF7DJ/fWtXPnIpog+45mbzmZ0YW60Q/cNK80IxF4XjwYwyXlSBiBp0dkPNhId3etHwD+A4xVF2QgMA76Z4HMkjY/2N6IDx5YkN2nhkNr3aRt6fMi64zojfH18RItrkLKl8RNatQ5O6aGrl0lH/jDcY6cxbOfzHJhyBd7wbLQWnFt6Lo999Bgf1H7AlOFTYpYX0pjw+PsQKaoM397bG1cC4vFb+Yz/c+dh7pgzmXHFke01loakNz7okgclPjw+P//ceZh/7jwMwDM3nc2Vj2wKKWNqVIKXU+r/H4xV2zDpLvlod/lWEpR7QkgOXr/Gw//6nIf/9XnI+vKzjwn87dN06z5DS2LwoWi2GM+6WIlyk5wnRRASQaIHKccDs4GxGDMqZyXhHEnjw/2NAByXxEGKo/UQWa0HqBt7Ucj6MfngUA1dyjcmxM4f8fqRD3Eqdibnj4tZNho1k75GcfV7lG59ii/+7T9ilp82chqrdq3i2T3PyiBFiJ8ExOM3fcbD32KG+4ybOO02vjZ5OJdPHYsrx0FDm5fn3qsKaEh6ejwhfkxNinltG9q8lv+LhrYuIe+AufZJzj0hJAeHTbW00WCbtKuKdZ+RHrOpPUdsVcgAEn1X+IWu60eBQuAi4BHgjwk+R9LYsb+RojwnrtzkNdKhh42p6NaCiSHr7SqMi1M8r+s6rx/5kC/lj8UZnqCpB3hyi3CPO4uSXetwNh2KWT7HnsM5peewfu966tvrY5YXBCC6b3UP4vEPz8+K0Dk8dO1Uhudbz2wU5jhYeOFE7nlhJ1c+sol7XtjJwgsnUtj59r6nxxPiJ1y/s/XzI9wS9r+45cKJbP38CDDArn0CbF3of4blOS1tdFiQ5mx4fpalbiVj7VZsVcgAEj3LYT5hzwEe0nV9jaIo/5XgcySND6obk+7qNfTwZvy2bNqHHBOx7ZghsD2OMMSfth5gf8cRLiw5tc/1qZl4ESX7NlP63l/5/IIfxyw/Y9wMKqoqWP3Jam446YY+n18YBKgqDJ9s+Dr3Mh6/3a5y4ogh/O175+Dza9hjZISub/MGErOB4Zax4K/vBTQpPT2eED+qqjBpxBBW3zw9kHE+WP9TXd/G9//6Hs/cdDblZx8zsK59Amxd6H8a2n18P6y/+L7ZXzg6Z18dNk4cns8zN52NT9OxqwrD87NwODI0wp/YqpABJHqQsl9RlIcxZlHuUxQli8TP1iSFpnYvn7tbmDa+MKnnGXrwHVpdE424+2EcOxReqdZxt2mU5ES/bK8d+RCgR/lRouHNcVE7/myG797AgdOujpmFfnT+aCYVTuLpXU8zb/I8bBa/QxAi6M7PP07sdjVuYXU8eU16cjyhZwTrd/bXt1r+LwBLPVHGkwBbF/qXePMgORy25InkU4HYqpDmJHoAcQVGnpRZuq43AEXATxJ8jqTwUc3RpIvm7R315DbuobXwRMvtxxUY37GSOr7sfp9jc0ZQ5BySkHodmHgRumJj1NaVcZWfMW4GB1oO8Hr16wk5v5CBpCC+fnjeE59Pi5oHJRF5TWLlWRFio2k6iqJkdo4ZySUx4Ahv2w67dZ6UjLHReBA7FjKQhA5SdF1v1XX9f3Vdr+xcPqDr+j8TeY5ksaNTNJ/MQcoQU4/ish6kHBuI8BVdl7K//QgfNe9jWsGEhNXLmz2Uw8ecTcmel8hqrIlZ/rThp1GSU8Ij2x8hkSGshQwhBfH1rfKe7DrUxM9Xb7fMg9LXvCax8qwIsTGv4eMbP+PB8tMjfPld2RkQU0VySQw4rNp2c5svQqOWMTYaD2LHQoaSEa5Y/cGH+xspTrZo/tBmNNVBW8Hx1tudUJLd/UzKy+5tAEwNSgSZCA5OuDDu2RS7amfOsXP46MhHbKzZmNB6CBlAay08fXVXVJiGfcZya23STnmkxcN3n9gSoTG5fOrYwPJ3n9jCkRYjfGawLmLjT8tYffN0Jo0YEndeE6vzBR9fiI15DU8/ppjfv1rJLy6ZzDM3nc0vLpnM717ZQ20mXMsU2LqQXKza9nWPbabN489MG40HsWMhQxkgrwn6zo79jYxPsn/00EObaCs4AV2NHmL4mKGws5uZlJdqtzIuexjDs1wJrZs5mzJiz0scOL08pjZl+ujpvPDZC/xx2x+ZXjp9ICd3FMJJQXz9aD7j4bk2gn3I+5LXJF4fdSE65jV05ThC8qaY3DEnA97iSi6JAUe0tq3peiC5qElG2Gg8iB0LGYoMUoAOn5/P3a18/dTEPvgHY29zk1/3EYeO/1a35Y4bCv/7qUaHXyfLFvrgf7Cjng+a9nLZiHOTUseDEy5k+OebGPX+qpiRvuyqnYuPu5gndz7JxpqNnDf6vKTUSUgRVpmOzagv/RBfPzy7u8NunccgPNdGsA95+DEKsmzUtnjiiswTnuvD6vhC95jXMDhPSmlBNtkOG60ePzZV4VBjG6qqUpjjoL7NG/hfFec54571ikp3NhwvkktiwBGtbedn2Xlp0b+FZJy3qQpfHGnB0RmBDuBwcwdevxZYp6pKSD+TENvtjt7YtdixkKGIuxfwyeFm/LrOuKLkRfpxHXgTgObi7sMGn1AAPh12uiPf2L7S6eo1LcGuXibe7KG4x02juPJl7K2x86CcN/o8hucMZ8nmJXj93pjlhQwhlv9ykuPrW/mMd3j9EXlPwnNtBPuQhx/jz298wu7aFq58ZBPn//drXPnIJnYdbsbrtZ4Z6aumRQBXtp0/XjuVrZ8f4YczJvDce1Ucbfcxf8W7zP3DRq58ZBOf1Lbw5zc+YVei9T+J8sGXXBIDDqu2veq7Z6EB81e8y4zfvs78Fe9yyZQxbP3iCOf/92tc8fDb1BxtY9ehJq54+O3Aul2Hmvj8SEv/add6a9dix0KGIoMUYNeBJgDGFiUvtKDrwL/wOYbSPvSYbstN6oyAvO1w5MPTS7XvMzq7mFHZRUmoocGh485H8fsY/tGamGUdqoOrv3Q1e4/u5cmPn0xanYR+Jpb/cnB8/Vt3GN/DJycsvr6Vz/j/Z++84+Oqzrz/PXeKNBp1adQs23KTbQHGYFOdQgmELCXJmlRMym6oSdg32TfLppdN3l2SfZe8DhtMSDaEEgILIYG0hdCLAcsGDO7dlmVZXZY0o2n3vH+MZqyRZqSRNFV6vp/PfKS5c+65Z+Y+89z7zDnP79nbPjim7slN92/m6tXzYq4hH93H1avnxayD0D7gjTmG6ea0CNAx6OMnT+/m2vMXcPMDW1i7ai63Pro16hzc+uhWrl49b8y5nXb+T7LW4KfY1oX0E+u7bSgV0z8sqy2NPPcFdMzaS4e63OnLXZuqXYsdCzmKWCiw63g/VkNRU5KfmgNok5LWFxioOBXU+B95pQMq8scGKZ2+E2w5sY9VxamZRQkzVFRFb00TVe/8HsM/NGH7012ns9K1kg1vbaBtsC2lYxPSRCLrl8P6+qVzQ3+TeLGLtWa8wG6JuY68e9DHx372Kjfct5knt7cTCJox+7AYKub+gXF+8QzntMwpK8BVlCcByiTxB83QOTF1JDcl1jmId26mlf+TzDX4KbR1ITOM/m6HbXQkYduM7KOI2abAbhmzLWW5a9Oxa7FjIQfJmpwUpdRBoJ9Q1fqA1np1uo6989gJ5pQ5sKboS+vs3o59qIv2ihUJtW8sHRukPNP5JhqdVOnheLQtvpDlL91Bxe4n6Tjlqgnbf2LZJ/jmy9/kay99jbsvuVsKPKabqaxRTnPOyej8kNHrtke+rpTihnc3cGZDRST/xBiutTHyJuGGdzdQW+rgmX98b9Qa8qM97khtjnD7oKljrkO3SuCRVMLn0TRNrIbif/7Xu7EZit9/fg0FdguXNlVFJdDXlzninptp5f+MZ8Ojbd9RAZ4uqbo9i7EaKmbOm9Vi8ND159Lr8aMUMe3U7Yu+Vl/aVIVSIT807RyVYAAG2iDoB4st9JDcEmEWkW2e+EKt9cp0BigAO9v6mZfCKrKlR58FYDDBIGVpGRw6oen2nFxn+lTnm9TklTEnvyIlYxzJQPkCBkrnUfPWI6AnXsPtKnBxTdM1bGrbxF1b70r5+IQRTGWNcppzTiaqOTL69e88/g5XrKyPyj8psFv45WfPiqwjv+HdDVyxsp5P3v1q1Bryp7Ydi/Qxsu7BI82HuTNGHYRwMqwwfcLn8euPbWVvxyDffWIbnQOhma4P/ufLfPaeTXzx4kYubaoCTp6DY72DY2pUTDv/J54NOyrG2v7xd+CJL0n9iFlMhcPOF2PkvD2w8UDkedDUMWupLK5yRrZd2lTFLRc38tG7Nk4/RyUYCNnmLz8A61eG/np64eO/ltwSYdagsqUY3/BMymqtdedEbVevXq2bm5uTctxet4+V33uKT549jytPH192d6qseOJvAJODZ30nofbbu+ErL8OGSx1ctsBGr3+ACzb+M5e5VrG2dk1Kxjia8pYtLNp8P7su/1dOzD0roX1+8fYveKX1Fe64+A7eU/+eFI8wZaTkp/Vk2mwUA8dDN1ajf1n73F9DU/pT3ScZykjDdPR7+fBPXx7zC+RjN6/BVZQ35vW7rl3Fv/xh+5j2//6R0+nz+Cl12KgtdfDJu18d0+aXnzmLS25/AQjdMHznqlPRWk9a3SvHyAqbDZ/Hb17RxL/8YXvkb6xz1D3oi/xa/e0rT6G6KD896l7ujti2//7/Aw+tO/l8vO+PkAyywmbDHO1x87GfjfUn37yiKSJLXF/m4PaPrqTb7Yuabfn+h09DoSKzwB+9a2NcXzcp+lpCgcloW/37p0ApmflLPzLtngGyZrkXoIEnlVIauEtr/bORLyqlrgeuB5g3b17SDrqzLbVJ8/kn9uPs3cmxxmsT3mdJKeRZ4NXWIJctsPFs11aCmGlZ6hWmp3YFfnshVdv+kHCQsm75Oo70H+HLz32ZO993J2fVJLbfTCVVNhvFVNYoTybnJAlMVHNk9OvxchcURG4YnvnH9064hvzJ7e18+0rNnBGzpHPs2eTyso/p2OzIuijj5aCE84jCfP3yJqxWY8o1beISy4bj2b6jLPq51I/IGZLhZ+PlpIyuwxSrlsq3rzQjPuZoj3tcXzcpgv7Ytur3QPmCyfcnCDlINoXfa7TWZwIfAD6vlIr6KV5r/TOt9Wqt9WqXK3lTm7uGg5R5KQpSKg79GYAT1WcnvI/NgOVl8GprAIAnO96g0l7MPEf6pnS1xUrnvLMoPbQR2+CEk1sA5Fnz+PLqL1PpqOTzT3+eja0bUzzK7CZVNhtFeO39SCZaoxxvH6Wg9wgMHMcMBuj0dNI60EqnpxMzgWV/8QjXJRhJeMnPoa5BgKjXez3+Me1Hr/0O5zGMbhNeQ37Xtau4tKlK6ppMkunY7Mi6KCP/jiS8feTztOYFxbN9T0/08+nkX2kzad8dYWKmYrOBgElrr4dDXYO09nqwGSohWx2dfzI6dyqWr5tyflU4/2QkpfNC29OI2LOQSbImSNFatw7/bQceAxK/q58GO9v6KcyzUlaQmi9++aE/4y5ZQmCSuSSnVcDObpND/QO82ruT1cVL0l7VvWP+uShtUrnzLwnvU2wv5n+v/t+U5Zdx419vZMNbGwiaUqU7ZUwlfyTWPh+9D/70T/DjUzH/8GX29Ozmmj9ew/sffT/X/PEa9vTsmfLFqcxhi1rLfWlTFV+8uDFSs+S7T2yLyhd5dPORsTkK165mbrljwhyTkWvIb7m4kTJHei/os5lw/YlHNx/htrUrIn9Hn6NHNx+Jep7WvCBHRcjWR9v+mw+efD6d/CttsqdnT9K+O0LyCQTMMfVO3P5gzHyTkbZ696dWM7+iYNzcqaTWV3JWx7ZVZ/qWIYo9C5kmK3JSlFJOwNBa9w///xTwPa11zLvjZK7v//BPX8bjC/LtK09JSn8jye/bxxmPX0Jb4zV0zb98Uvvu7IF/fAk+c947PNp7P19f/DEWFdQmfYwT0fjKBvLdPWy95n6YhGrXUGCIe7ffy6vHXqWxrJHPr/w8F869MO2B1hTIqrXSCTFddS+lQgHKrj8C0PnJB7lm6/+jdbA10rzOWccDlz9ApaNy0sPr6Pfy9ce2RpRzYuWTXNpUFfkO2q2WmBXITVPTPuAlEDSxWgwqC2x0uv0EgiYWQ3HvKwe468WDkT6nvBY898gamx2p7hUwNb0eP3aLwYA3QHu/ly0Hu7h69Tz6PH5qS/LTnxc0cDyUJL/yE6ElXp4eOPw6nHsDaD3tNf6dnk6u+eM1SfvuzGAyZrOtvZ6YeSM/veZMHDZLpOL8y3vaueSU0DU37IOACavLT6RkmDADx+HlO+CMa0LXXjMIbzwAa76Qtnwpsecosv7mZSaSLQu0q4HHhm9grcCv4wUoyURrze7j/axZlJovW/Xeh9HKQm/Nuya975JSKLHD891vUJ5XxAJHTQpGODEdDeezeNM9lBx+nb6G8xLeL9+az3WnXcdK10p+t/d3/MOz/8C8onl8aPGHuHLRldQ4M/N+ZiRTyR8ZuU/vkUiAAuArKI+6KAG0DrbiC05tnb4vEOTJ7e0R6dlY+SRPbm/nG5c3Ma/CGdk2OrgwDEVdafRSirrhHJOjPe6oAAVSXK9AiEm4/gSElvJdvv6lMW0uWl7Dx372Ki985YL0CxcEfCFbH2HvAJxzfah+xDTxBX1J/e4IyccfNGPmjXh8Qa664+Wo7Rctr4nySTDWL41m5HdgWgR8sHF96DGSc66fft8JIvYsZJqsCFK01vuB09N93JYeD4PeYEqS5lXQh2vfo/S7VhHMK5n0/hYFZ1R52cwuLi4+FSNDMxC9NafgyyvGteNPkwpSAJRSnF17NquqV/Fa22u82PIi699Yz0/e+Ann1p7LhxZ/iPfNfx92i2i8Z5RRNSXs7m7qnHVjfj2b6nmyWy3c8O4Grl49D4uhsFuNmPUyrJbxf70OBEzaB7z4gyY2i0FVYR5WqxE5RtJrbQjTwmYxYtaeCOeqWAxFIGBitRrJ+/V5IlJQA2gkdos9qd8dIfnYLEbC9U7CdZdSapPxSLGtJoLYs5BpsiYnJROkMmm+rOVpbN5ueuZcMOU+Kip2ghGgiuXJG9gk0YaFrrmrKT38GrbBrin1YTEsnF93PreefSv/9u5/44qFV7C7Zze3vngrH/r9h3iz/c0kj1qYFKNyVMq3PMD6C26nzhmS5K5z1rH+ovWU55dPqfvSfCtXrKzns/ds4qL/+zwf/9mrMetluMZZtx1rHfnO4/0EAqG10UldCy4khcoC25jaE1+4aAlbDnZx29oVfPeJbew83o/fHxy3jk5SSXINoNGU55ez/qL1SfvuCMnH5bSPyWe769pV1I/IeRuZN5dym4xHim01EcSehUyTFTkpkyVZ6/vveGYP//7kbn7x6dUUJFmadPlT11LQu5M97/p/oKYWC/6w9T6aTxzmYssXufZ0d1LHNxnyBtpZ8fS/ceScz9F2xseT0qepTd7ufJsHdzxIt7eb76/5PpcvnFzeTorImvX9aWVUXovpqKDb14sv6MNusVOeX44xRTuOtwZ8dL2MH3x4RdxlEvH6ePiG8yJLwNL2a3z2kZU2O955/6dHtvLGkV7qyxw8dP25MWtUpCyfKIk1gGJ2r026h7qT8t2ZwWTMZkfnyPV6/CyvLeL7f9ge2VbutPPZezalzybjkWJbTWgIYs9hZsXFJNvIiuVemWJnWz9VRXlJD1AKenZQ2vYyxxd/bMoBitsc4m3PLpzeM9nS68hokOItrKK/YiGuHX+mbeXHQonW08RQBqe7Tmdx6WL+843/5GsvfQ2H1cFF8y5KwoiFSTMqr8WApCVGxlsDPrpexrevjJ8/Eq+PQPCkykzS1oILSWG88/7Gkd7I83g1KlKWT5TEGkAxu1fGbEwqzhlG58hBKE9u5LaHrj83vTYZjxTbakJDEHsWMsisDIfD7Gzrp74s+Uu9arf/F6Ylj576i6fcx+bBHfh1gOX5i2g5YeNYf2bX1nfMO4f8E0cpPPZ2Uvt12pzccuYtNBQ38NUXv8qBvgNJ7V/IPOE14COJVYMAiNQtCC/jmqiPifJYhMxgmhprgrUn4rWTfCIhFcSqZWLqxGo1iU0KQnqZtVd4byDIwc5B5pU7Jm48CWzudioP/p6euvcStBVOuZ+N/W9RYinkvIpQ0n3z0cz+QtxTt4KgNR/Xzj8nve98az43r7wZi2Hhn1/4ZwJmIOnHEDJHVWHehDUI7ly3iu8+sS1mvkm8Pjaku8aGkBCmqdl1vJ97XznAT685c8Lz7pJ8IiGNxMpfc+YZY2o1jc5bEZsUhPQza5d77Tk+QMDUzCt3Ttx4EtTt+DnKNOma94Ep9zEQdPOWezdnO0+lvCBIXaGX14/mceWyzC35Mq15dM1ZScW+Fzi85vME86YegMWiPL+cdcvXcedbd/LAjgf49CmfTmr/QuawWg2WVRfx8A3nRWqcuJx2fvDhFZElXt99YltkqUVLj4cb798clW8Sq4+R6l5C9tA16OO6e5tp6fHQ4w7wy8+chcVQ5FkN7n3lAGtXzeXv37WQXo+fnzy9mx98eAVLq4t47OY1szGfSEgzhqHG2FsgaPKTp3fzzSuaInkqf3izhYeuPxdAbFIQMsSsDVJ2hpW9KpK33Mvq6aR61/301Z6Pv2Dq60g3DW4jiEmTYyEATa5Bnj5QRt+QoiQ/c0IHnfPPperQq5Tve46OpiuS3v/q6tWscK1gw1sb+OCiD1KaX5r0YwiZwWo1xtQ4cQ3XyDjUNRi1PhzG5pvE60PIPnyBYGQ9/8ObW3h4cwsAz3/lglAtm1H1bL59ZVDyiYS0Mtrewj5otB+65tyGMXVSBEFIH7M2SNlx7AR5VoPa4vyk9Vm3/ecYQR8dCz48rX5e6X+LcksxtbZQstoprkH+eqCcLa35XLjQM8HeqWOwdC7u4joqd/w5JUGKUoqPNH6Eb7/8be5++26+ctZXkn4MITsYqcRlNVTMehqj800mUu8fvcUIAAAgAElEQVSaxepeGSPWZz6yZs1HV9Vz3XsWYrWoyHkeXR9H1vkLmSZeTZ+M1kkRBGF2Byn1ZY6kOR2rp5OaXffRV3MePmftlPs5ERxgm2cf5xWejhpW0aor9FGW7+f1o3kZDVJQis55ZzPvnd/h6NqPp2Jh0g8xp3AO5885nwd3Psgnl3+SOYVzkn4MIbOEcxbCS4JueHcDX7y4kZvu30xLjydm3ZTR+4TXiC+tLsIw1ISvC8kn3me+xFXI3Z9aze+2HOHy0+dEpFzD5xXgye3tss5fyBoqHLaYPuipbcf4zh92ij8RhAwxKxd0a63ZfuxEUos41u34OUZwiI6FH5pWP68NvIOJ5hTHyQBAKWiqHGTrcTveDOeUd85dhWlYce1IfgJ9mA8tDn2GP33zpyk7hpA5RuYsAJzZUBG5OYDQUq+b7t9M71Ag7j4tPR6uu7eZrkFfQq8LySfeZ97j8bO0uohPnb+Amx/YMua8fuOKU3jkxvN4+Ibz5KZPyAo63b6YPmjNkqrIc/EngpB+ZmWQ0t7vpdftT1rSvM3TQc3Oe4dnUab3y/8LJ7bgspZRZY2u6NrkcuMLGmw9ntl120G7k97aU6nY81dUMDUOuzy/nAvnXsgf9/+RI/1HUnIMIXOMzFkAKHXYJqxJMHqf0W0mel1IPuN95oah4tY/CQRNrt6wEa21BChCVhDPVi0j7FP8iSCkn1kZpGw/dgKA+UlKmq9/+w4M00fHoqun1U+rr4M93sOcXtAYWeoVZmGpB4c1yOstmU8u7Zh3DlZvP2UHXk7ZMd7f8H6UUvzynV+m7BizGdPUdPR7OdrjpqPfi2mmT5BhdJ2CRGoSxKptMLLNRK8LyWe8z3y8OilBU8u5EbKKeLZqtRg8dP253HXtKi5tqhKbFYQ0MyuDlB3DQUoylnvl9R+has+D9NRdgK+gZlp9Pd+/GQPFaY7FY16zGLCs0k1zax6jRI/SzgnXErwF5VTu/EvKjlGWX8a75ryL3+39HW2DbSk7zmwknEvw4Z++zJrbnuXDP32ZXcf70xaojK5T8OjmI2NqoIzOVYhV22Bkm4leF5JPvM+8zGFj1/F+vvvENm5buyLq9Z9ecyaPNB+WcyNkFVWFeWPqoty5bhXf/8M2PvazV/mXP2znlosbKXPYMjxSQZhdzMrE+W2tJ3AV5eHMm/7br9/6/wCDjoV/O61+TG3ywoktLMqfS6EldvB0SuUgb7QVsbvLxnKXP2abtKAMOueeRd2uJ7GfaMNXPL3gLB5/s+BveKHlBX617VfcevatKTnGbCReLsFjN69JiwxsrDoFZQ7buHUyYu0zss1ErwvJJ95nPtK+Ovp9fPOKJiqcdmpL8smzGnzuPYvl3AhZhc1mYVlVIQ9dfy6B4VnAWLWb0uUjBUEIMStnUt463MvCyunnozh6d+Pa/xjdcy8hkF8+8Q7j8LZ7Lz3BE5zuaIzbprHCjUVpmlsz7yQ7550NQOWu/0nZMSodlZxXex7/vfu/6fR0puw4s41syN8I1ymYU1aAqyhUlHHk81g3sKP3Gd1moteF5BPrMx9pX28c6eWG+zZz9YaNAFQW5cu5EbISm83CnLIC5g/XRYlVu0lyUgQhvcy6IKVzwEtLr4fFVdOvmD7vzf/AtDrobLhq2n09feI1Cox8luTPi9sm36pZWOah+WjyartMFV9BGSeqGkNLvszUOe7LF16OL+jjvu33pewYs4105G+MznkJBMxxc2AymSMjJBe71cKlTVXcde2qqPX8Sik5r0LW4vcHOdrj5lDXIACXNlVFvS55VIKQfmbdcq+tLb0ALHJNL0gp7HiT8iNP0r7oaoL2omn11e7vZtPgds4vPB2rGt8JNlUO8vvdBbT2W6gryuyvOu3zz2PJpnsoO/ASPYvem5Jj1DhrOKvmLH6z8zf83al/R0leSUqOM5sI5xKMrm+RrByB0fUzLm2q4paLG7lxRA0CqXEycynNt8asOfHkO62cs8gl51XIOvz+IDvbB8bYLEhNH0HIJLNuJuXNI30YChZMZ7mX1sx744cE7MV0zfvAtMf0596XUShWO5smbNtU6QZg89HML/nqrT2VIaeLmjcfBp26X0ivWHgF7oCbB3Y8kLJjzCZG5hK8fOuFPHbzmqTeOI7OeVm7am4kQAGpcTLT6RiMX3NCzquQjbQPeGPa7LevPCUlPlIQhMSYdUHK5kPdzC0vIN829Wnbspa/UnL8VToWfBjT6ph4h3Fwm0M8e6KZUxwLKbZMHDiVOQLUFXrZlAV5KSiDtkXvobBjF4Vt76TsMPVF9ZxRdQb377ifAd9Ayo4zm0hl/sZk66BkQ46MkDz8QTNuzQk5r0I2Eremj6klx00QMsisClK8gSCbD/WwvKZ4yn2ooJeG5h8w5JxDd/3F0x7Ts32bGNJeznaemvA+yysH2dlhp9+beafZNfcs/PZCarf8OqXHuWLhFfT7+vnNrt+k9DjC9JlsHRSpcZL7jMwpkvooQrYzOgcubp0UCUwEIaPMqiDlrSN9DPlNmuqmHqTU7ryH/IHDtDWuA2N6KT1Dpo/He5+nwV5Lnd2V8H5NLjcaxZZjmZ9NMa122hZfQOmRTRQeeztlx1lQsoBTK0/l3m334gl4Jt5ByBij62dsOdg1pgbBhnWrIjUHpMZJbjO67s69rxwYc76lPoqQLcSqE2VqHbNOSlVh5q+xgjCbmVWJ8xv3daGA5bVTC1Jsng7qt95Bf+WZDFaePu3x/Kn3RfqCA/xt2UWT2m9OkZfivACbjubz3oahaY9jurQveBfV+19gzuv/xa6r/gNUan59umLhFfzb6//GI7sf4dqma1NyDGH6jK6foZTiO4+/wzevaKLUYaPX42f907v5wYdXRJZRSI2T3GV0TtFdLx4E4KHrzyVoaiyGkvooQtYQKwfuE3e/xhNfPD+qTkpVYR62aSwLFwRh+syqIOWlvR00VDopnGIRxwWvfwdlemlrvGbaY2n3d/O7nudYlt9Avb16UvsaCk5zDfB6awmDPoXTnllZT9Nq59iS9zH/7d9ScuhV+hrOS8lxGssaWVa+jLu23sWVC6+kNL80JccRpk845wXgaI+bJ7e3j6k78O0rgzHbC7lFrJyiu148yKfOX8C8iunXoxKEZBIvB87tNZlTFruQsiAImWHWLPfq6PfSfLCHM+dN7ca2/NCfqDj8ZzoWrsXnrJ3WWExtcnf7bwG4tHhqN/Rn1g7gNxWvHsl8zRSAjoZzcRfXMv+ln2D4U7cc65PLPsmAb4Dbt9yesmMIyUVyTmY2cn6FXELsVRByh1kTpPzPtjY0cM6Ciknva3e3sfC1b+EpWkDn/MunPZbHep7hbc9eLik+hxLr1Oq11Bd5cRX4ePbg9NTFkoU2rBw6/WryBtqZ8/ovU3ac+qJ6Lpl/Cb/d81u2HN+SsuMIyUNyTmY2cn6FXELsVRByh1mz3OuPW49RV5o/5heUiVBBH0te+AJGwM3RM/952snyf+l9mf/u/iunORZzRsGyKfejFJwz5wR/2FPJvm4ri8oD0xpXMhgoX0B7w/nUvP1bTtSfSd/8c1NynA8u+iCb2jbxrVe+xUNXPITTJktKshnJOZnZyPkVcgmxV0HIHWbFTMqutn427u/i3YtdqMkkdWvNgte/TXHHFlqbrsNbWD/lMfQG+vnp8Ye5p/MJGvPnc2XpeyY3lhicXXeCPIvJE7uy5yb98KlXMVgyh4VP/yt5fUdTcow8ax6fO+1zHDlxhG+9/C1MbabkOELySGVdFiHzyPkVcgmxV0HIDWbFTMrPX9xPntXgfcsnkaCuNQ3N/0L13ofoWPAhTtSczB1p93fzjnsvO4cO0ubvpDtwgoAOYlNWHEYeRZYCCg0nRZYCFIqjvnZ2DR1EA2sKV3JB0SoMNf34MN+qOa++j+cPlXLl0sGsmE3RFjt7z/oMp7zwY5Y+8RV2XfXveIvrkn6cpeVLWdu4lv/e/d9UN1fzldVfmXbQJwiCIAiCIGQHMz5I2drSy6NbWrikqYbC/MTeruEfZNHGW6k89Cc65/0N7Ys+wongABv73+al/jfY4z0MQIGRT5W1jBpbJTZlwa+D+LSfE0E3x/3deEwvGk2JpZCznadyhnMZFdaSpL6/Cxt6aT5WzC+2FPO9i7qxZsHcmM9Zwa7zbmDpxrtY9vsvsffSbzNY3ZT041zWcBk9Qz3ct/0+PAEPXzv7a9gstqQfRxAEQRAEQUgvMzpI6XX7+MeH36K0wM5HViWwVEtrylqeYf7m75Pff4R9iz/CkxXzeOXYPbzt3kMQkyprORcVncXS/AYqrCUZ//XeYTW5ckknD26r5r+2FHPdqhOpKlMyKdyl9ew8/yaWvP5fLP/d/+LYyo/TtvKjBPOmJhQQC6UUn1j2CfIseTyy+xG2d27n6+d+nRWuFUk7hiAIgiAIgpB+ZmyQ8taRXv7p0a0c6Bzkny5bhjNebRStyT9xgNLWFyja9zCt7v38usjFS7Xn8Ka/mUD7a5GZkNMKFlNtm7w6WKo5o2aAo/15PLWvlL4hg0+f0U+VMzjxjinGU1LHtgv+kXlbf0vdG7+matvv6VpyMT0L3sVg9XJM2/SVyZRSrG1cS0NJA/dvv59r/nQNZ7jOYG3jWs6pPYcaZ00S3okgCIIgCIKQTmZUkHLHM3vY2tLH3vYB9ncOUuKw8ZX3L+W0OaElVmV7HuS3HX8iYPoIBL0EAwP0m266lKbDaqGtxIouDd3UVugBVjmX0+RYyBxbVcZnTCbi8sVdFNkD/GVfBZuO5jG/NEB1YZB5JQE+eupAxsYVtDk4sOoa2hZfQO2ep6nc+Weqtz2OVgbeomp8Thd+ZwWmNR/TameguonuJRdP+jirqlfRVNHEiy0v8vThp/nGy98AwOVwUV9UT1VBFU6bkwJrAWX5ZVy/4vpkv1VBEARBEAQhSSitM1utfCoopTqAQwk2rwQ6UzicbGA2vEdIz/vs1FpfluxOJ2mzUyUX7EDGmBxGjjGXbTYe2XwOsnlskBvj25kBm832z2U8cnnskNvjD489JX5WGJ+cDFImg1KqWWu9OtPjSCWz4T3C7HmfUyUXPh8ZY3LIhTFOh2x+f9k8NpDxZdtxk0Eujx1ye/y5PPaZQBZoQQmCIAiCIAiCIJxEghRBEARBEARBELKK2RCk/CzTA0gDs+E9wux5n1MlFz4fGWNyyIUxTodsfn/ZPDaQ8WXbcZNBLo8dcnv8uTz2nGfG56QIgiAIgiAIgpBbzIaZFEEQBEEQBEEQcggJUgRBEARBEARByCokSBEEQRAEQRAEIauQIEUQBEEQBEEQhKwiJ4OUyy67TAPykEcqHilBbFYeKXykBLFZeaTwkRLEZuWRwoeQAdISpCilLEqpN5RSf4jx2meUUh1KqTeHH5+bqL/Ozs7UDFQQUoTYrJBriM0KuYbYrCDMLKxpOs4/ADuA4jivP6S1/kKaxiIIgiAIgiAIQhaT8pkUpVQ9cDnw81QfSxAEQRAEQRCE3Ccdy71+DPwTYI7TZq1SaqtS6hGl1Nw0jEkQBEEQBEEQhCwlpUGKUuoKoF1rvXmcZk8ADVrrFcBfgV/F6et6pVSzUqq5o6MjBaMVhOQiNivkGmKzQq4hNisIM5dUz6SsAa5SSh0EfgNcpJS6f2QDrXWX1to7/PRuYFWsjrTWP9Nar9Zar3a5XKkcsyAkBbFZIdcQmxVyDbFZQZi5pDRI0Vp/VWtdr7VuAD4OPKO1XjeyjVKqdsTTqwgl2AuCMIPY37ef/2j+D549/GymhyIIgiAIQg6QLnWvKJRS3wOatdaPA7copa4CAkA38JlMjCkbMU1N16APXyCI3WqhwmnHMFSmhyUIk6Ld3c7f/eXv6Brq4pfbfsm/v/ffeX/D+zM9LCGNiC8TZgJix4KQXtIWpGitnwOeG/7/WyO2fxX4arrGkSuYpmbX8X6uu7eZlh4P9WUO7v7UapZWF4lTFHKKO964gxO+E3znvO/wi3d+wY83/5iL5l2EzbBlemhCGhBfJswExI4FIf3kZMX52UDXoC/iDAFaejxcd28zXYO+DI9MEBKn3d3OE/uf4N1z3s284nlctegqWgZa2Ni6MdNDE9KE+DJhJiB2LAjpR4KULMUXCEacYZiWHg++QDBDIxKEyfOn/X8iYAa4ZP4lAKxwrcBhdfDkwSczPDIhXYgvE2YCYseCkH4kSMlS7FYL9WWOqG31ZQ7sVkuGRiQIk+dPB/7EguIFVDurAbAZNla6VvLckecw9Xilk4SZgvgyYSYgdiwI6UeClCylwmnn7k+tjjjF8PrXCqc9wyMThMRoG2xjR/cOzqo5K2p7U0UTfb4+9vbuzdDIhHQivkyYCYgdC0L6yYi6lzAxhqFYWl3EYzevESURIScJ552cWnlq1Pal5UsBaG5rprGsMe3jEtKL+DJhJiB2LAjpR4KULMYwFK6ivEwPQxCmxCutr1CaV8qcwjlR2yvyK6jIr2BL+xY+ufyTGRqdkE7ElwkzAbFjQUgvstxLEISkY2qTjcc20lTRhFLRvzQqpWgoaWBb57YMjU4QBEEQhGxHghRBEJLOju4d9Hn7WFE4L+brDcUNtAy00OftS/PIBEEQBEHIBSRIEQQhuWjNxqf+GYCPPH07JQfH1kSZXzwfgJ3dO9M6NEEQBEEQcgMJUgRBSC5bH2JLzw7maytOZzULn/k3LN6BqCYSpAiCIAiCMB4SpGQBpqnp6PdytMdNR78X09SZHpIgTI1gAP38v7I138G88kYOrvwoVt8grh1/jGpWZC+i2F7M/r79GRqokA7Etwm5gtiqIGQfou6VYUxTs+t4P9fd20xLjyeivb60ukikDYXcY+9fOdjfQl9JHYucdbhL6zlRsQjX9j/RdvpHYUQSfY2zhv29EqTMVMS3CbmC2KogZCcyk5JhugZ9EccI0NLj4bp7m+ka9GV4ZIIwBbb+hjedpQAsLqgDoHvOSvJPHCW/51BU0zpnHfv79qO1/GI5ExHfJuQKYquCkJ1IkJJhfIFgxDGGaenx4AsEMzQiQZgifg/s+jNvVcyhwJJHTV4ZAL21pwFQdvCVqOa1hbWc8J2ge6g77UMVUo/4NiFXEFsVhOxEgpQMY7daqC9zRG2rL3Ngt1oyNCJBmCKHXoHAEG9aNAsLajCGl3b584txF9dSdPTNqOa1zloAyUuZoYhvE3IFsVVByE4kSMkwFU47d39qdcRBhtfCVjjtGR6ZIEySvU/Tb7Wz39/H4oLaqJf6KxZReHwbKhiIbAsHKQf6DqR1mEJ6EN8m5Apiq4KQnUjifIoxTU3XoA9fIIjdaqHCaY9KxDMMxdLqIh67eU3cNoKQE+z9KzuqG9GcYGFBTdRL/ZWLqD7wEgWduxmsbgKgLL+MPEueBCkzlNG+TSmFRYXW/4uPEzJJrOuyXIcFIfuQICWFJKoYYhgKV1FeBkcqCNOkrwU6d7H9lIvBfYL5juqolwfKQnVRnO27IkGKoQxR+JrhGIaiwmkX5SQhaxjvuizXYUHILmS5VwoRxRBh1rDvWQC22yxU2Iooskav7/bnl+DLK8bZsTtqe62zln19+9I2TCH9iB8UsgmxR0HIHSRISSGiGCLMGo68BnlFbPN2Md9RNfZ1pXCX1uNs3xW1ucZZw3H3cTwBz9h9hBmB+EEhmxB7FITcQYKUFCKKIcKsoaWZ/srFHB7qGLPUK8xgaT35vUdQAW9kW9VwQHO0/2hahimkH/GDQjYh9igIuUNaghSllEUp9YZS6g8xXstTSj2klNqrlHpNKdWQjjGlA1EMEWYF3n7o2MnO0pBaV0NBjJkUwFNci0Lj6D0c2eYqcAHQMtCS+nEKGUH8oJBNiD0KQu6QrsT5fwB2AMUxXvt7oEdrvVgp9XHgNuBjaRpXSkmmctdEKmGCkDGObgE02x0F4Cb2ci/AUxiaYcnvPoy7cglwMkg50n8kLUMVUks8PyXKSUK2EM8eATr6vWKjgpBFpDxIUUrVA5cDPwC+HKPJB4HvDP//CHCHUkpprXWqx5YOkqHclahKmCBkhKPNAGzHR4WtiGJrQcxm3sJKTGXg6DkY2VZkK8JhddDSLzMpuc5EfkqUk4RsYbQ9yjVWELKTdCz3+jHwT4AZ5/U5wBEArXUA6AMq0jCunEHUSISspqUZiuew23Oc+vzKuM20YcVb6MLRcyiyTSmFy+GSmZQZgPgpIVcR2xWE7CSlQYpS6gqgXWu9ebxmMbaNmUVRSl2vlGpWSjV3dHQkbYy5gKiR5Cazwma1hpZN+CuWcGCCIAXAU1SDo/tg1DaXw8Xh/sOxdxDSynRsVvyUkAmS4WfFdgUhO0n1TMoa4Cql1EHgN8BFSqn7R7VpAeYCKKWsQAnQPbojrfXPtNartdarXS5XakedZYgaSW4yK2y27wgMdrC/vI6gNql3TBSkVJPX3xal8OUqcNE60Iqp4022CuliOjYrfkrIBMnws2K7gpCdpDRI0Vp/VWtdr7VuAD4OPKO1Xjeq2ePAp4f/v3q4zYzIRxmPQMCktdfDoa5BWns9BALxb9BEjUTIWlpC+Si7HYUACc2kKG2S33tyeZerwIXf9NPubh9336CpOdLtpn/IP81BC6lgpJ86Y24pv/zMWdz/9+eg0ZhmtEs3TU1Hv5ejPW46+r1jXheEdJLoNXYy121BEKZPutS9olBKfQ9o1lo/DvwCuE8ptZfQDMrHMzGmdBIImOw83s+N92+OJOltWLeKZdVFWK1j40ZRxxGylpZmsNjZgx+rslCdVzpuc09RDQCO7kN4KhcDJ2ulHOk/Qo2zJuZ+u9r6ufmBzezrGKQwz8q3rmjio2fNTeIbEaZL2E89/oU1HOsd4oYR/m1kErIkKQvZRiLX2MletwVBmD5p+2ZprZ/TWl8x/P+3hgMUtNZDWuuPaK0Xa63P1lrvT9eYMkX7gDfi6CC09vXG+zfTPuCNu09YjWROWQGuojy5mAvZQcsmKF/EbvcxavPKsarxl0d4CyvRqNi1UuIofLX2evjE3a/SNejjs+c3ML+igFsf3cpzu8afeRHSj2EogiaRAAXGJiFLkrKQjUx0jZ3KdVsQhOkh4X8G8AfNmEl6gaBMHQs5RMAHbW+Bayl7Bo9OuNQLQgpfvoIy8k60RraV55djKCOmwpfWmlsefAOPL8g3L2/i0lNq+N+XLmVueQH//OjbDPklsTXbmCgJWZKUhVxErtuCkH4kSMkANosRM0nPapHTIeQQx9+BgJe+8gbafX3U5yemHD7krCSv72SQYjWslOeXc3Tg6Ji2j71xlOZDPVx73nzqSkPfmXybhWvPnU/biSEefF1UwbKNiZKQJUlZyEXkui0I6Ue+XRmgqjCPDetWRSXpbVi3iqpCKXYm5BBHQ8riuwuKAZg7gbJXGK+zkvwRMykAlY7KMUGKNxDkh3/ZxSKXk/c2Rqv2nDqnhOW1Rfz8xQOSdJ1lTJSELEIgQi4i121BSD8ZSZyf6fj9QdoHvARMjdVQVBXmYbOd/JXQajVYVl3EwzecRyBoYrUYVBXmjUm+M01N16BvRifLm9qke6gbX9CH3WKPLP2Jt13IIlqawVHO7uAgAHMSWO4F4HVWYPX2Y/H2E8wrAkJByo6uHVHtHm5uoe3EEF/9wDIMNdbu37e8mp88s5eX93Xy7iUzVOI5B4mVhFzmsNE16MM0TYIaivKtPHT9uYROq8LltM94X5dpxNeOz+jrbWm+lY5BH/6giW34Gr20qpCHrj836touSfPxScS2xP6E8ZAgJcn4/UF2tg9w0wgFkDvXrWJZVeGYQCW8fCUWs0EBx9Qme3r2cMszt9A62Eqds471F61nUeki9vXuG7N9SdkScV7ZRMvrUNnIHncrhRYHpVZnQrsNOUPBTF5fK+6qpUCooONLQy8xFBgi35pP0NTc9dw+llQVctqckpj9rJ5fTlGelYebWyRIyTLCSchw0pfd/tQuPn3+Am59dGvEp922dgUv7DrOlSvro1STZpqvyzTia8cn1vX2znWr+MnTu3lyezv1ZQ7u+exZ+AOa6+6budfkZBLP5kbaViJthNmNWEGSaR/wRgIUCCXW3TQFBZDZoIDTPdQdcU4ArYOt3PLMLXR6OmNu7x4aU+NTyBTubujeD65Gdg8epT6/AhVjtiMWXmcod2Xkkq/K4aVi4XP+9I7jtPR6uHxFbdx+7VaDsxeU89cdxyWBPosJ+7K1q+ZGAhQI+bRbH93K1avnjVFNmmm+LtOIrx2fWNfbm+7fzNpVcyPPj3R7IgFKeJvYaXzi2dxI20qkjTC7kSAlyQRMHVsBZJLr5meDAo4v6Is4pzCtg634g/6Y231BuRhkDUe3AKArGtk3eCzhpV4A3oJQkDIyeT4cpBztD+Wl/PLlg1QW2lk9v3zcvs5eUI7HF+SlPZ2TGr6QPsK+rNRhi+nTLIaa8b4u08T1tab4Woh/vS112CLPC+wWsdNJEM/mRtpWIm2E2Y0EKUnGaqjYCiCTnA6eDQo4doudOmdd1LY6Zx02iy3mdrtFEmuzhpZNgKKt2IXb9FKXP34wMRLTmocvvzhKhjgSpAwcZVdbPxv3d3HJ8mosE3xvmmqLcdot/GVb25TehpB6wr6s1+OP6dOCpp7xvi7TxPW1hvhaiH+97fX4I8/dvqDY6SSIZ3MjbSuRNsLsRoKUJFNVmMedoxRA7pyCAshsUMApzy9n/UXrI04qvB610lEZc3v5JG6EhRRztBlK53PA1wdAXd7kzo3XWUn+iJmUkrwSbIaNowNHueeVg9gtBhcuq5qwH6vFYEV9Kc/v7kBrUfnKRsK+7NHNR7ht7Yoon3bb2hU80nx4jGrSTPN1mUZ87fjEut7euW4Vj24+Enk+t9zB3dfO7GtyMolncyNtK5E2wuxG5eKFffXq1bq5uTnTw4iLzxegY9AXUQBxOe3Y7dYo9RCb1cBqKDy++Go2ou6VEc2GSjwAACAASURBVMWPlHzA2W6zk0JruK0B5p7N/fNP5bZ9j3D78usosSWWOA/Q8MZvKOncx1ufeiiy7WsvfY2m8lN56rn3c1ZDOTe+d1FCfT2zs527X9zPU196D0uqiyb7bmYCWW+zo32ixVCYGiwKDMOgzGGjx+Of0b4u02SZr806mx2tyllZYKfL449S4IRQ3ul4qpzCSWaYupc4pAwg6l5JxjQ1+7rcY1S5lrgK2dMxELX9R1ev4Id/2UXHgDemSshIhZyZiqGMyFKfRLYLWUDXPhjqhcqlHHAfx2nJp9haMKkuvAXl2N2vowI+tDX0S2RlfiU7Og7i9gW5cOnEsyhhTpsTqtPy0t7O2RqkZDV+f5BdHYMTKh7OdF+XacTXxicQMNnVPhClMLdh3SqWVRdFgpDZoLiZbBKxLbE/YTyyMlzNZeKpcrUPeMds/8ojW7nxgkWiEiLkFkeHf6l0LWW/+xg1eWUJK3uF8RWEpvPtA+2RbZUFlRz3HKO2JJ/G6sKE+3IV5VNdnMfLeyV5PhtJluKhIKSK9gHvGIW5G0fZ6GxQ3BSEbEOClCQTTyXEHzTHVQ8RlRAhZ2hpBpsDSuay332c2knmowB4HWUA5PUfj2yz63JMNciaJc5JBz2n1pXw6v5uAkFz0mMRUkuyFA8FIVXEuz6P9CezQXFTELINCVKSTDyVEJvFGFc9RFRChJzhyKtQ2Uhf0Eu3v5/avLJJdxGZSek/qcp1rCO0bGv53Mlf9E+dU8KAN8DWo32T3ldILclSPBSEVBHv+my1nLxFmg2Km4KQbUiQkmTiqXJVFeaN2f6jq1ew4bl9ohIi5A5DJ+D4Nqhq4oAnFGDUTkGJxZdfjKkM8gZCMymm1uw4HMon8anJL9tqqitGAS9LvZSsI1mKh4KQKqoK88YozG0YZaOzQXFTELKNSSXOK6XOBxpG7qe1vjfJY8oaElHXiqXYVV5g4+EbzkNrHbXf0uoiHrt5TVTbOz55xoxQs8khhQ5hOrRsAm2GghT3cJAyheVeGBb8jtLIcq89xwL09pVSWA2dQ8cm3V1xvo2GSicv7+vkixcvmfx4hCkxkY8MBEw6Bn1UFtp46PpzCZoai6GoKsyLSpoXkof44omJZbeNLicPXX9ulCrnSOWu0dfwmXDdzmXEzmcHCQcpSqn7gEXAm0B4PYYGZmSQkoiSR6w2YxW7HJH2MdW6EldtzVpMbbKnZw+3PHMLrYOtEa3zJWVLxGnMNI68BsoA11IOHPkLVmXBZS+eUlfegjLsJ0KBzsu7h7DoAmxGHl3eqRVmXFpTxHM72/EHTWwWsbtUM5GPDARMdh7vH1cxSUgu4osnJqbdXrsam1XxmV9uGtdWZ4PiZi4gdj57mMzZXA2s0VrfrLX+4vDjllQNLNMkouQRq81sVOzqHuqOOAuA1sFWbnnmFrqHujM8MiHpHN4I5QvBVsA+dxvVeaVTvij4HOXkDRwnaGo27h5ica2FEnsFnUNTDFKqixgKmGxrPTGl/YXJMZGPTEQxSUgu4osnJqbd3tfMkW6P2GqOIHY+e5jM3cU7QE2qBpJtJKLkEa/NbFPs8gV9EWcRpnWwFV9w5gdos4qgP6Ts5VoGwH5329SWeg3jLSjDNtjF7iNuet2aU+caFNvKprTcC6BxuEZK80G5UKWDiXxkIopJQnIRXzwx8ey2wG4Zs01sNTsRO589TBikKKWeUEo9DlQC25VS/6OUejz8SP0QM0MiSh7x2sw2xS67xU6dsy5qW52zDrtFEgpnFG1vg98NVU14TT+tQ13TDFLKUWh27GjFZoHGWoMSezld3ja0nrw8bbnTTlVRHpsP9Ux5TELiTOQjE1FMEpKL+OKJiWe3bl9wzDax1exE7Hz2kMg38N+B/wt8B/gQ8H+Gn4cfM5JElDxitZmNil3l+eWsv2h9xGmE14eWT0H1SchijrwW+lvVxCFPOyZ6SvLDYXzDtVI6D7WwuMbAblWU2MoZCroZDExtyVZjdRGbDnZPKcgRJsdEPjIRxSQhuYgvnpiYdnvtauaWO8RWcwSx89nDhInzWuvnAZRSt2mtbx35mlLqNuD5ePsqpfKBF4C84WM9orX+9qg2nwF+BBwd3nSH1vrnk3gPKSERJY/RbQryDNxekx9/fCVWQ2GzKDqH17T6g2ZCCmG5qBhiKIMlZUt44PIHRGljJnN4IxRWg7OSAx1bgKnJD4fxDtdKKfV1UFAbspViewUQUvgqtJVMus+lNUW8tLeTw91u5lfMAFWKLGY8HxkImLQPeCnOt/LQ9ediGGCaYLcatA94xygfCslBfPHExLNbvz8Ype5V4bDTPuCNCHFUFeYlJPiQ69fzXEDsfPYwGQniS4BbR237QIxtI/ECF2mtB5RSNuAlpdSftdavjmr3kNb6C5MYS1pIRMkj3CaWks2d15yJ3ar4+19tnpRC2Og2uYChDCodlZkehpAqtIZDr0D1KUAoHwWgZhozKX5HKSaKetWJURO6uJTYQoFLp7eNhqJlk+5z6XBeyqaDPRKkpIFYPjKmL1y3is0HOllSU8Ktj27NaV+X7YgvnpjRduv3B9ndOchNwzZ7aVMVX7y4MfI8UWW6mXI9zwXEzmcHieSk3KSUehtYqpTaOuJxANg63r46xMDwU9vwY0auw4ilZHPTA1uwGJZJK4TNFlUwIYdo3wGDHVBzOgAH3G1U2orJM2xT7lIbFjpVGUvsHRQ5QhfwEnsoSOmaosLXnDIHzjwLmw9J8nymiOkL79/MRU21kQAlvF18nZANtA94IwEJwNpVc6OeJ6r2JddzQUguicyN/Rq4Enh8+G/4sUprvW6inZVSFqXUm0A78JTW+rUYzdYOBz6PKKXmxunneqVUs1KquaOjI4Fhp5d4SjajfzxJVCFsNqiCzXSy3WYnxf7nQn9rQ0HKfncbNflTn0UBGPQpDgZdLLSdrBKfZ3GQbymYssKXoRRLqorYdFCS56dCMmw2ni80tRZfJySdZNhswIy2zVKHbUrKdHI9F4TkkkiQYgFOAJ8H+kc8UEpNuCBdax3UWq8E6oGzlVKnjmryBNCgtV4B/BX4VZx+fqa1Xq21Xu1yuRIYdnqJp2Rjjpo3SlQhbDaogs10st1mJ8WB56F4DhRWYWqTg57j01L2Ath63E6LdlGjo28sSuwVdHqnFqRAaMnX3vYBet3y6+VkSYbNxvOFhlLi64SkkwybtRrRttnr8U9JmU6u54KQXBIJUjYDzcN/O4DdwJ7h/zcneiCtdS/wHHDZqO1dWuvwHOrdwKpE+8wmYinZ3HnNmQTN4KQVwmaLKpiQIwT9cPBFqFkBwDFvD17TP+0g5Y1jeRxXFRT7u1HmyV8ai23lU55JgVDyPCBSxBkipi9ct4pnth/jtrUrxNcJWUdVYR53jrDZRzcfiXqeqNqXXM8FIbkkou61AEAptQF4XGv9p+HnHwDeN96+SikX4Nda9yqlHMPtbxvVplZrHb4juQrYMel3kSLiqXSElWtGq340upxR6iA2iyJowm9vOh+PPxhpO7qPCqed3950/rgKYHEGCO4OCPjAaocCFxgGpjbpHuoOqV4YdgzDYCgwJAoYwtQ4uhl8g1C3EgjlowDTkh8GePu4nTMdxRheE+dQFwMFVQAU28o4OLADrTVKTT7ZdJGrEKuh2HSwh4uXV09rjMLksVoNllUX8fAN5+EPmlgNRYHdoPyUWpSCh64/F1NrDKXIsxp0Dfooc9jo8fhnhiJSHL886W5G+nGLndK8Unq9vaJmlAJsNgtLKpxj1L1GPg8HKK29nriKX4mogmY9SbLfaQ1BbF8YZjLqXmdprW8MP9Fa/1kp9S8T7FML/EopZSE0a/Ow1voPSqnvAc1a68eBW5RSVwEBoBv4zKTeQYqIp9KxuNLJrvaBKOWaDetW0ehysrtjkPVP7+bT5y+IUrD50dUr+OFfdtEx4B23j4mUQ0YNENq3w28+Ab2HoXQefPxBTNcy9vTt45ZnbqF1sJU6Zx3fX/N9frzlx3R6Oll/0XqWlC2RL7iQOHueAmWJJM2Hlb2mIz/c5TbodFtRc4uhA5zujkiQUmKvwG/66PN3UzosSTwZ7FaDhkqnVJ7PIFZr6AZu5/F+nnizhctPn8PND2yJ+LufXnMmf3zrKO9ZWs0Lu45z5cr6KH+Ys4pIcfwyVU2TutEztcmenj1Rfvz2C29nw5sbeLbl2UhdCPHlyWFoKMCersEoNa87163C7/fztxteo77MwYPXnUOfJzDhdTsRVdCsJUn2O60hiO0LI5jMGe5USn1DKdWglJqvlPo60DXeDlrrrVrrM7TWK7TWp2qtvze8/VvDAQpa669qrU/RWp+utb5Qa71z6m8necRT6YilXHPj/ZvpGPRx4/2bWbtq7hgFm688spUbL1g0YR8TKYdE4e446Ugg9Pc3n6Db0xH5cgO0DrbyjZe/wd+d9ne0DrZyyzO30D0kN2/CJNj9F6haDnmFQChIKbTkU2RxTLBjfHZ2hpY/OMpCMsGFnvbIaycVvqaXl7K1pQ+vJKxmjLCfu3r1vEiAAiF/d/MDW7h69TxufXQrV6+eN8Yf5qwiUhy/jHtyCd3dQ91j/PiXnv0SH1zywchz8eXJo8vjG6PmddP9m6kuKYg89wb09K/b2U6S7Hc6iO0LI5lMkPIJwAU8BvwOqBreNiOJp9IxWgVk9PZ4qiClDtvEfUygHBJFwHfSkYTpPYzPDES+3GFaB1spsZdE/vcFc/DiL2SGvqNw/B2oPyuy6YC7jZq88iktxQqzs8OG3WJSOLx2u9Bz8iJYYgsXdJyaDDGEghRf0OSdo31T7kOYHmGVL4uhYvq78PZ4r+ekIlIcv0xgcj7XF/SN68fDz8WXJ4fxruthDMX0r9vZTpLsdzqI7QsjSThI0Vp3a63/YXhm5Izh/2dsKBtPpWO0Csjo7fFUQXo9/on7mEA5JAqrPTQVO5LSedgNK3XOuqjNdc46+nx9kf/tFkniExJkz/+E/o4IUva726ibxlIvCM2kzCseQlmtuO3FFI74pa7YHsp1mY7C15Lq0KxPs0gRZ4ywylfQ1DH9XXh7vNdzUhEpjl/GOjmfa7fYx/Xj4efiy5PDeNf1MKZm+tftbCdJ9jsdxPaFkSRSzPHHw3+fUEo9PvqR+iFmhngqHbGUazasW4XLaWfDulU8uvnIGAWbH129gg3P7Zuwj4mUQ6IocIXWioYdyvDa0XKHi/UXrY98ycM5Kf/19n9F1nKWT/MGU5hF7H4SCmugJFS+qMc/QG9gcFqV5j1+xaFeK/NLhgBw55VQ6D653Mtm2HFai6e13Ku0wE5tSb7US8kgYT/3SPNhfnrNmVH+7qfXnMkjzYe5be0KHmk+PMYf5qwiUhy/TMHkpHHL88vH+PHbL7yd3+/5feS5+PLkUeGwj1HzunPdKo73uSPP86xq+tftbCdJ9jsdxPaFkSitxy8Ar5RapbXerJR6b6zXtdbPp2Rk47B69Wrd3Nyc8uNMpO4VCJpYRyh8+P1B2ge8BE2NxVDDhRwVdptiyGcm1MckBzihupfNsIHWDAW92AwrlfmVWK3xq4QHzACdnk78QT82i41KRyVWYzL6CjlPSjJ102WzSWXoBPxoMTS+H86+HoAtfXv59Fv/wf9q+CArihdMqdutbXb+5fly/n5lK0srPJyz62HKB4/z6PvujLR5cP96im1lfPm0/5jy8Dc8v483j/Tyxjcvyb0E7MmRtTY72icqBVqDzarwBzRq2Ee6nHZ6hwK5q4g0ktF+2VEBnq5JqyXFUzgyTZOgDhLUQayGNeKjR7fPcgWkrLPZoaEAXR5flLpXvz8YZZOmqcdctw1DxbxPyFmCARhoC0nPW2yhH6ksybkHSNRGE1H3MrWZ7nuVHD6puUsiEsThWigW4FWttTu1Q8oe4ql0WK0GdaXR076mqdnbORilBnbb2hX86pUDfOmSpWOUamL1MYUBQuFYiVVDGVQ6KjGDAfb07OaW574UUclYf8HtLClrxIjhdAJmgN09u/nSs1+KUtVoLGucbYGKALD7fyDohYZ3RTYdcB8HoGYaNVJ2dtpR6JMzKfllzO3ajtJBtAot8Sm2ldHpnXpOCsCymiKe393B3o4BGquLptWXMHli+cS7P7WaJa5C9nQMjNmek2pesRjpl6ehlhT24yMpzSuN6aOXlC5hf9/+KEUkUUBKHNPUHOhxT2iThqGirtvxVEBz1pZNEzp2pkTdK5ZqVzwbjWX7I5/LvcrsYTJW9xngTaXURqXUD5VSVyqlplcoYQYRSw3s1ke3snbV3Iwp1XR7OiIBCgyrYjz3Jbo9sZU6Oj2dkS99uP2Xnv0SnZ7OtI1ZyCK2/w4KKsC1LLJpv7sNm7JQaZ/6Tf+uThu1hT7yraFZ3MG8UgwdpMBzMsWt2FZOt/c4pp568vSymmIAXj8wY1PnsprxFBJjbc9JNa+JSLJa0ng+erQikiggJU48W53IJqe6X9aSQnWvWKpdU7VRuVeZPUwmcf5TWutGYC3QAvwnoarzAvHVwMJqX5lQqomn9OUzAzHb+4P+mO39pj9lYxSyFO8A7P0rzDsfRvzKtd/dRm3e1JeRaA37um3UF5+U7RzMD/3WMVqG2NRBerxTdzHVxXmUFdjYJPVSMkJchcRh1a/R23NSzWsikqyWFM9HB+L5elFASoh4tjqRTU51v6wlhepe8VS7pmKjcq8ye0j4TkMptU4pdRfwCKHK8XcA707VwHKNeGpgYbWvTCjVxFP6sseZDrVZbDHb24z4OSzCDGX3XyAwBA1rojbvcx+bVtJ8p9tg0G8wp2hEkDLc30iFr3CtlM5pJM8rpVhaUyQzKRkirkLisOrX6O05qeY1EUlWS4rno63xfL0oICVEPFudyCanul/WkkJ1r3iqXVOxUblXmT1M5ufQHwMrgbuBW7TWP9Rab0zNsHKPWGpgt61dwaObj2RMqabc4WL9BbdHqWSsv+B2yh2xlToqHZXcfuHtY1Q1Rq8NFWYB4aVeVU2RTe6gl2PeburyJ18FPsyBntBFpG5EkOLOK0GjomdShmuldE07L6WYY31DtPTMmlS6rGE8hcRY23NSzWsikqyWNJ6PHq2IJApIiRPPVieyyanul7WkUN0rlmrXVG1U7lVmDwlnGGmtK5VSpwDvAX6glFoC7NJaX5uy0aWJeCpeI7fbhrXQPf7Q/6PVuAxDscRVyMM3nEcgaGIxFHlWgx98eEXy1T7iqHqNxrBYWVLWyAOX3YPPDJBvycPUJm2Dx7AbNgyLnaHgUEQtw2pYaSxr5Fcf+BUBM4BFWbAoC71DvRiGwVBgCLthp1yD4ffEVRTLAWUZYTy8A7DnKVh0cdRSr3DSfN00kuYP9NpQaGoLT07xm4YVj704Soa4yFaKQk2roCOEkuchlJdSX1Ywrb6EiQn7TNM0CZiaCqeNh64/l4CpsVkMXE47PR4/xflWHr7hPCwKDMPIfUWkkYz2z5VL4bN/Dr2mNaBDr8fxnbGUjMK+1GpYWVK6hHsuu4eAGcBqWKnIr6DP10eRvYh7LrsHCM0iVjoqxQcniGEoFpQVRGw1rO41kU0ahmJpdRGP3bwm+9W9Yt03wNhtVU3wub+Oe39hBgN0ezrwmQHshpVyhyumGM9o215UuogHLn9gwvsEf9BPp6czYuOVjkpslpOzJCPvVfymH5sxK5VIZwUJn1GlVDEwD5gPNAAlQM6XWo2nzhFLgeZHV6/gh3/ZRceAlw3rVrGsuigSqJimTo9izSTVYgyLlcrC2phKX99f831+vOXHdHo6IyobVsNKVUHVGBWOqLbnfZclf/46xkA7fPxBTNcy9vTtE2WZmcKeJ4eXer0ravN+d2jpVe00fp092GPF5fRjt0RLnw/ml0YFKRbDSpGtbFrLvQDmlhXgtFvYdLCbvz2zflp9CeMT9qW3P7WLT5+/gF+9coBPn7+AWx/dGvGJG9atYv3Tu3lye3vuKyHFIpZ//uh98PajsOR98PgXovz2aN95Yf2F3LjyxijVopG+1NRmlIpXrPbfXfNdfr3913z+jM+LD04QrzfAnq5Bbrp/c8RW71y3isZKJ3l5498mxVMBzSpi2eW6x0J+Pta9RAzV0EhXCaqGTkbNayT+oJ89vXtiKtiNDlRqnDXJ+XyErGUy3usl4EpgK/AxrfVSrfWnUzOs9DEZBZqvPLKVGy9YREuPhxv/P3tvHidHWSf+v5/qY7rnvpNMTgJJMNxJBEMUE0DEiyioiIIHKouI2UTX/f52ZcXssru6CsGAkHWVVQQRFDToisgRrhAiIYQEQsLkzmSSzH33TB/1/P6o7p4+qvrume6Z5/1iXjP91FNPPU1/8ql6uup5Pw+8RtvASNJ2cm75yNC+YWb6umXzLVx/1vVxlg0zC0dU3S230nXRt8LH7vK0K7PMRGL3H8BdE/WoFxiT5jUEU5zVGTd9sNtOU/lIXHnsgo5gzEvJ9nEvTRPMV/NSxoRQDrxq8cyw2TA0QAHCefOqxTPDr4vahGSGWX5+5Do473OjA5RQuUnuXDlvZZy1KFFuNqt/6+ZbWTlvpcrBadAx5A0PUMCIza898BodQxMkNs3isvtAzq4lzKyhmdq8lLlLEUk6dq+zpZQ3SSl/LaVsid0uhLgrt10bG6zsHD4LA0212xH+2x/Qk7aTc8tHhvYNK9NXlbMq/HfIsmFl4YiqW1obPralRUyZZYoP76CxPsqsC0GLnvx5YOgEU0tqsGuZTQrtHxF0euxRk+ZDDJbUUDbcidBH/71UOKqzvpMCcPqUCva3D9I5EH9cRe4I5cCQ0TD0O5LIHBp6XbQmJDOs8rNmMy2PzZ1VzqqEuTQ2N1vVD5WrHJwafl2am+j0xItdFw1mcekozem1RKw1NFObl5Wpzm9hJVVMbHJ5H3hZ8iqFh5Wdw2FhoOnx+MJ/221a0nZybvnI0L5hZfrq9faG/w5ZNqwsHFF1h7rCx7a0iCmzTPERetRrdvw/5/1Dx5mWzXyU8KT5+JPUoKsGTeqUDXeGy6ocdfR4O/Dp2V1onT7NWC/l1UPdWbWjSEwoB4aMhqHfkUTm0NDrojUhmWGVn/WAaXls7uz19ibMpbG52ap+qFzl4NSwa8LcRDdRHkM0i0vfUE6vJWKtoZnavKxMdWq+yeRk0j+smo6B5oefPJsNz+0PP1vdWF6StJ2cWz4ytG+Ymb5uW3Yb9+26L86yYWbhiKq7dC21L9wePnatu0GZZSYKux8HVzVMOSOq2Kv7aPF0ZDUf5WCPcZJpMr2TYjxCFvnIV5WzFomka6Qtrn46zK0vw2nT1HopeSaUAx997WjYbPiDq86Oyokbrl3Mo68dDb8uahOSGWb5+dO/gtcfhCvujsvbsblzY/PGOGtRotxsVn/tsrVsbN6ocnAa1Jc6uffaxVGxeu+1i6kvnSCxaRaXNXNzdi1hZg3N1OalzF2KSISUubmdKYTYLqVclJPGkrBkyRK5bdu2nLVnZffy+3XaBkbwB3QcNg2bJhj2BXA5jG/+fAEdl1PD65N4AzruiPK8Wj5StHvF4vf76BjuwKf7cWh2XHY3Q/6hKMuG7vfR5WlHFwIdiQ44NAdSSkYCI4Zpw16KY7hvotq98vLVWa5jNi/4huGHc2H2e+HCb0Rtah5s5crXbuOGmZfznprTLRpIzJ1bqnirzcE/Lzsct63M08VHtq/jpXO/zr6ZFwPQMrifhw/ezeozfsTCmiUZHTPEv/1pN5oGf/rGhFzaqWBiNtbupQnQpSG1EoLwayGMbsdaEouayLwsBAibkZddtTB4EgJ+47EvzQ4yEN7ud9XSMdKJL+DDYXOEbV26rqOjo0sdTWg4hAOf9IVfa2homhZlA4ssL/AcPK4xa3bO93oDdHq8UXYvl2sCfXsf8MPACQj4wOaA8qnGP8yBE6D7jbgsnwr25GuNxF5L1LvqsZvsl465LhKv30vncGfY7lXrqqXf1z/e1xcT5LZacZHLf4FF+wGa2TmsbF2R1q+G8hL+8fIFfPt30faaSOtXnjqc0L5hhi519vcdSGja0P0+mnveYdVz3wzX2XDJPfTqvazetDrKtDG/al5UUtKEpr7pKHYObDLmpMy+MH7TkDGBPZs7KYd77EwzmTQP4CmpREdE3UmpdAQXdBzJwbyUqRX8YccxBkb8lCex9SgyxyyX+nwB9rQNRJmTfnDV2fzy5YOs+cCCiWH3srIuNpwO7XvibV/P/xfs/T/00z/K/ku/E21Kung9p1afyv6eaOvX353zd3wzIjdH5m+Ve1PHzOj50FcvoMfjj7N7nd5YjsMxAR5H1PX4OLz29+AbhIevjY7NKWeCiU443FQK1xIhImMzVduXLnUO9h2MqrduxTo27NjAppZNyh46ycjlJ/zjHLY17qRi/bpx+anhAUqoTqz1q1BIxbRhWDu+GVWnZbA1PEAJla3ZtIaOYWXamHC8/UdwlsHUs+M2HRg6joCMV5sP6HC8386UMvP5Jbpmx1NSFbXqfLmjCk3YcjJ5fsHUCnQJ2w+reSljTdvASJw5KWT/mjB2Lyvr4sAJc9vXudcA0LXoc/GmpGdX0eHpiLN4fTMmNyt7V2aYndtH/NLU7lWI5/KMsLJ7hQYoobJHrjNiNgGZWrtS3c+s3ppNa1g5b2Vax1NMDJJ+pSiE+CNg+UyYlPKK4O9f5K5b408q1i8re02k9atQSMW04ZXxVg233W26n0+ZNiYWAR/s/TPMON94FCCGA0MnqHdWUaIlfxTAjJODNgJS0Fjms6wzVBK9VoomNKoctTkZpMyfUoEm4NVDXVw0P/vVkxWpY2VOCuXPCWH3srJ6BXzm5W5jsO8trbXIr760rF+K1DE7t2sCZfeC0ZhNQKbWrlT3S2YXTfV4iolBKndSfgTcnuBnQpKK9cvKXhNp/SoUUjFtOEW8VcPj95ju51CmjYnF4c3g6TZ91Atg/2B26UPMfwAAIABJREFUZq9jfUa8NJZan1gGS6opD65qH6IyB2ulALgcNk6pL2OrWi9lzLEyJ4Xy54Swe1lZvWwO83KPcUfPOdRlkV8daVm/FKljdm7XJcruBaMxm4BMrV2p7pfMLprq8RQTg6RX01LK5xP9JNpXCOESQvxNCPGGEOItIcRakzolQoiHhRD7hBBbhRBzMn87uSMV69eG5/bzw0/G22sirV+FQiqmDcPacUdUnRllTdy54s5404ZLPQM9odj9ONhd0HRe3Ca/DHDIc5KmLOajtIQGKRaPe4Gx6nzpcBeaPvpNXmUOVp0P8a5plbx+pJth3wT45r6IaCwviTMnhexfE8buZWVdLJ9qbvva8RAAtdsfjDclXbyeend9nMXrjpjcrOxdmWF2bi+xC1O7VyGeyzPCyu519QPxsVmeeBX3TK1dqe5nVm/dinVsbN6Y1vEUE4OU7V5CiHnAfwILAVeoXEo5N8E+AiiTUg4IIRwYq9b/vZTylYg6NwFnSylvFEJ8BviElPLqRH3JhSkp0u7hdtrw6xKfP9rKZWX98vkChvVLlzhsGnZN4PEFcNg0SuyCYV8Kdi8rQ1ekgcMR/GYn4Is2aQX8dHna8ep+NM2OJmxoQqBJyXBgBKdmp9bdgBYz+S3StOGyuRgJjITtGfU2N46RfvyuSjr8g/j0AHbNhlMrwabZGPZ74kweUe3ZXei6jldPzb4R2jfSYFMgVrCCMSWNGVLCHQuhZjas+E7c5sOeNj766vf40owP8L7aM0waSM7dW6vYcdzBd94bb/YKMefkds7f93t+d/FPGCgzTpRb257ipbY/c9fSJyixuS33TYXXj3TzX0/u5cGvXMCy0ybUIHvcYzY2V9a4HXR7fAR0nYAuCUiJTQg0zUh9RW33CuVuXTesSHrAmGhc1giDbYAAqYPQjN9IEBq6zUkXAbxSGvka0KSkSiuhU3rxywA2YdxVEkKELV/egBeBwCZsBGQAicRpc1LlrKJz2LCC2TU7Ts2JFDJlg9I4GxnHNWYjz+F2zYjDQEDG2b36fYG4839BEns94a4DT2f09YUeiDd5ocNAW0RZI7rNER0Xzmq0mLZGdB9dw11R9q0Se/yALjbGKhwVUfvVueqw2+xxcRjQA3R4OqLq9fn6lN1rEpLOMzv/C9wKrANWAF8iyYcmjRHQQPClI/gTOypaCXwv+PfvgLuFEELmyo1sQqTdw8zQ9T+fXxI2zsSaavx+nb1tA9wYYQG553OLeH5PG0tOqbVsJ6YD5iaY+gXQ9pYxea28ES75Hmy8KaqOXr+A5p7mKBvM2mVr+fXuX3Pdwuu4c/uddHg6WL98HfNq5kcNVEKmDV/AR3NPM2s2jbaxbsU6Tms/xMH6Wax67ltxbX/9vK9Hm8AiTB317npWL1rNLZtvSWr7iNz3J6//hM8u/Cy3br41pf0UeaLtbehvhTOvMt28f9C4k5HVnZReW8K7KGAs6AhQ7mkPD1IqnXUAdI6cpKl0TsbHBzh9aiWagC37OyfaIGVcibUlXbawkVWXzGf9M+/whQtP4f89ujPKmHTXM+/w191tiXNkoRLK3Zv+Ay74O3j85mgz0q5HYd6lsPW/o7brp3+U5hiL19pla9l8dDMfmns5ayKsXaGce+O5N3Ja1WnsG9oXn6urTovL4Xcsv4MdJ3dw3tTzosqtDEqpmJYmImbn8F9/9QJ6I+xely1s5BuXzI+yfRVsrJpdT0QY5CxNXlc/ADYX/PqT4TL9s7+l2S6i42L5OuY9/e9oe/4E1bPwfvkZ9ns7TGPSGbEQpFmMxVq61q1YR6Wzki8/+eVwnZ9/8Of0efvi2p9fM18t6DgJSScbuaWUz2DcfTkspfwecHGynYQQNiHEDqANeEpKuTWmynTgKICU0g/0AnVp9CttIu0eZoauRMaZtoGRcHIL1b/pwe2sXDQj9XYSmWAeuc54vWz16AAloo5h4Iq2wdy6+VZWzlvJLZtv4fqzrjfsF8+tocvTHn9soMMzmmBCbazZtIbOGeeGByixbceZwCIMHNefdX14gBLaL5F9I7TvynkrwwOUVPZT5Il9Txm/py823RzWD2c4J0VKONZvTzgfBUYXdKyImJdS5QxqiHPwyJfbaePUhnK2HOhMXlmRMrG2pKsWz+TGB17jqsUzwwMUGDUmXbV4Zvh10dm9Qrn73GtGBygwakY673NGecx2M4vXrZtv5ePzPx4eoESWr5y30sjJw53mudqk/JvPfZP3z3p/XHmqBqXJknvNzuHeGLvXVYtnxtm+CjZWza4nIgxyliavh6+F3sNRZV39x+Lj4rk1dC36XLhOp/BbxmQkqVi61mxaEzVRPjQh3qz9Do8yik5G0hmkDAshNKBZCHGzEOITQGOynaSUASnlucAM4HwhxJkxVcy+loi7iyKEuEEIsU0Isa293fziO1Ui7R5Whi4r40yk3SuyvpTmBhvTdqxMMLp/tNxdY1rHzMAVMl9EGjBaB1vxWhi4/Lp5G349kLDtKBNYRGJJ1zwT2neiG2tyGbN5pfkpqJkDZeZ3Fw4MHafWUU6pLbPns7s8GsN+LaHZC0JrpWhRGuIqR+4GKWDMS3njaA+DI8pOZ0YmMRtrSwrlVKvcWu12RL0uKrtXKHdb5Gc0m+l2K4uXTdgS5lzrXG1erks9K4NSMebedGPW7Bwea/dK97pgXLG6nnBH6OKtTF6O0qgib0mZeVyUjn5BZXWd4I+53kjV0mW2toqV8U4x+UhnkLIaKAVWAYuB64AvpLqzlLIHeA64PGZTCzATQAhhB6qAuK9zpJQ/lVIukVIuaWjITiEaafewMnRZGWci7V6R9YUwN9iYtmNlgtHso+WebtM6ZgaukPki0oDRVNaE0+LWqF0zb8Ou2RK2HWUCizBwpGueCe070Y01uYzZvDHcB0degenWK7ofGDrB1CzMXqlMmgeQwsZQSVWUhrjUXoFdOOkczt7wBXBGUyV+XbJNrZdiSiYxG2tLCuVUq9za4/FFvS4qu1cod1vkZ/SA6XYri1dABhLmXOtcbV6uCS0rg1Ix5t50Y9bsHB5r90r3umBcsbqe8ETkOCuTl28oqsg5MmgeF0Ojl2RW1wmxj2KlaunSZfSSDbrULY13islHyoMUKeWrUsoBoA9YJaW8MnICvBlCiAYhRHXwbzdwKbAnptrjjA52Pgk8m8/5KBBt9zAzdCUyzjSWl7AhxgJyz+cWsXF7S+rtJDLBfPpXxuvNd8LKe+LqGAauaBvM2mVr2di8kduW3cZ9u+4LP0da6zZP2PXuetatiG5j3Yp11LXsYP3y203bjjOBRRg47tt1H7ctuy1l20do343NG1m7bK0y1ownB58H3Wf5qJcudQ4MnaApJ/rh5N+EDbmi10oRQlDlrKUjBxpiMNZLsWuCLfvVI1+5ItaW9OhrR9lw7WIefe0oP7gqOifeGywPvS46u1cod+94CK64O96M9PqDRnnMdjOL19pla/nDO39gXYy1K5Rz161YR52rzjxXm5TfsfwOnj/yfFx5qgalyZJ7zc7hzhi716OvHY2zfRVsrJpdT0QY5CxNXlc/AFWzo8pqK6bHx8XyddRufzBcp07aLWMyklQsXetWrIsazIQGymbth1auV0wu0rF7LcGYPF8RLOoFrpdSvpZgn7OBXwI2jAHRI1LKfxVC/CuwTUr5uBDCBfwKOA/jDspnpJQHEvUl13Yvl1PD65P4Ajp2m5bUOOP364YZJFi/1KkxOGJtCbPogLndy+8bNXA4yyDgNexeNocxiLHZR+1eMoAmNDSE8SM0hgPDODUHtcKO5htGd7jpEhjWLc1JrQTN58FXUkFHwDNq99JKcAz3opeU0yX90eYwTTO1aVjavTQnmqYx7B+2NHEou1eB8Pgq2PU7+MyDxp28GI4Pd3HZ327huukXs6IufiX6VPjptkpeOlzC9y46FLQ6WfPu5t8zpfcAj1z283DZY4f/B7/u5V/O+1lGx4/le398C5ddY+PN781JewXAuMdsUruXLrFpgvpSJ33eAjUmWeVkq3oI8I8YqjIpQQZA2IxHaHxDEeWG6Uu3lxh2L2Qwb2toMkA1NnqC5QKB8Z+g3l2PXbPj1/10eDrw6T7sYtTiFbZ7xZTH2r2sbF+T2e4Vew5vLC9B13XaB0ftXgUdq7HExq6rCgbaI6xdDYDNxO4lYeBkRNkU9Fjblonda1j30j3cHb5+qHHV4LK74rsVE2OVjko6hztHrzvc9dg0W1wc6lIPx7xDc4T/LYwzBfrhT2zS+dTvA26SUr4IIIR4L8agxfLKRUq5E2PwEVv+3Yi/h4FPpdGPnBAyd8WaaVKxeNjtGk3V0beCq0tNqybqAJRPiS7TdejYa0yCs7B70bgQzWanvnRKvNFj5T2w8zdw9mdg403o5Y00f+jfWbUlwp61dC3znvgOjoE2pn3mIWg4Hdr3hNvRqmdRHzyO6Qk68i0EbWFRbyFFa4zZvooxRkrY9zRMO8d0gAKwfyho9srqcS8bjWW+pAMUgAFXLae0bcfuH8YfPOlVOmp4p/eNjI8fy8JplTy+o5X+YR8VLvUIQS4wMyHWlTnTzq3jhpVx0SwPapoxgElk+Yo0K33qfnjhh2h7/496i3YTZUK7ZqextDEtG1cotybLx5M1B8eew3Vd0tw+VByxakbk9YR/xDA2hiQ8oZisaIJffHi07Nrfg384Lua1xoXxcRFxreLX/RzoPZCSfcssxqaVT4vrfmwdTWhMLUu8XoticpDO1yb9oQEKgJTyJaA/910aW2LNNONq8Yi0dFjYvQhNKjYzemy8CZZ+I7xf10XfCg9QIGjq2HIrXRd9K9ooZmYaG8psovdktsYUHd2HoO8YTDvXskrI7NXkyly4d6wvudkrRL/bGAxVDI4+3lXlrMMTGGDIn5t0s3BaJQEpefWQisl8UlC5NRlWxkWrPJjM8hVpVvrt56NfZ5BfM82rKh+nRlHFajIG2kYHKDAak4Hh6LLuAxmd+63soMq+pcgH6QxS/iaE+G8hxHIhxPuFEPcAzwkhFgkhFuWrg/km1kwD42jxiLR0WNlj/N74upHbQ3YZrI0yYVNHzxHjUbJEx0mTiWSNmfAcftn4PcV6gcYDQyeosLupsGe2kGL/iKBvJPkaKSEGgoOhysFRm9eo4UvNSykmCiq3JsMqn1rlwWSWr0izktnrNPNrpnlV5ePUKKpYTUakJTREzxFD6hCJlfErSWz6Aj5l31KMGekMUs4F5mMs6Pg94F3AhcDtwI9y3rMxItZMA+No8Yi0dFjZY0KLJVkZPUJ2GayNMmFTR/UsY65LouOkyUSyxkx4Dr8MJZVQPdOyyoGh47mZNJ9EPxzCbJBS7TQeBWgfPpZxPyJx2jXmT6lQg5Q8U1C5NRlW+dQqDyazfEWalcxep5lfM82rKh+nRlHFajIiLaEhqmcZX2BGYmX8ShKbDptD2bcUY0Y6dq8VCX6SLupYqMSaacbV4hFp6bCwe1HaEF83tH3lPbDlrvB+tS/czvqlMfaspWupfeH2aKOYmWmsNDNl7mS2xhQdh18yno23mCwrpWT/0ImMF3GEyEFKat/c+u0leJwVVJgMUk56WjLuRywLmyp5q7WP3iH17V++KKjcmgwr46JVHkxm+Yo0K33q/ujXGeTXTPOqysepUVSxmozyxlFLKIzGpM0VXVYzN6Nzv5UddLLOb1Lkl3TsXlOA/wCapJQfEkIsBJZKKX+eZNeck2tTUqyZZjwtHmFzl+43LF26RPMPo9tddNnteHXfqIlFMmr0sDmMidD+YXRnmWGR0f24bC68BPAFfDhsDmxoDAdGcGh26m1u7CP94HAbd2ACEVYbSM10Y/YerKxfJgaZcTbMmDHupqQxoe843HE6LPkynPEJ0yod3j5WvPL/cU3T+/lAfZz/IiV++XoFT+5z82/LD5LqP6kVu35OwO7mL8tuC5f9dO9azqy5gC/N/6eM+hHLnuN9rP3Tbn563WIuO6PoJ2gWbMwWUm5NSjK7V2i7rhsmr6C1C5vTmKwsA8a32GWNMNhmPHYjbEZ+9XnQbQ660A0rY4Q5MWzpCuZoK5ORL+Cjw9MRZUZy2OK/vY7NqVZ2L6v6Y5SDCy5miypWY0nF7iXsxhzUCFuoLmXQFOrHKezUuhvQ7MnviJjFYkJLVzC261x19Hp7o+oASeOvQK4TiiQYJhbp2L1+gWHz+k7w9TvAw8CYD1JyjZmZZjzQpU5z7/5oE8vStZy67VfsX3JdtKUrZGgpnwIBP5x8Ex65LsroVe+uZ/Wi1dyy+Zbwfrctu407t99Jh6eDdcvvYP7me7AffCHaOJOO6caEkNEjmVkmVROYIg8cCc1HOdOyyv7B7M1ex/pt1Jf6Uh6gAPS7apnaG20hr3E2cMJzNON+xHJqYzkldo0tBzonwiClYCmU3JoSZsbFEKGcaGbzSpQ7F3wELvo2+puP0bzoalY9/61wrlu7bC2bj27mQ6d+KKkpya/7ae5pTlov3ZyqcvAoRRWrkZjF3Pv/Mcbu9QA4S+GBK8Nl+rW/p1l4WRURU+uXr2NezXw0m/WloS51DvQeiIqZDR/YgDfgjYsju2bnpqdvonWwlRUzVnDjuTdGxbDVfpHxp2J0cpPOJ1wvpXwE0AGklH6gCGeVFS6mJpYtt9LxvjXxlq5IQ8vAiXBCijR6XX/W9eEBSmi/WzbfwvVnXW8YOZ77Jh3vW5OaOSwPRhplnhlHDr8MdjfUzrWssm/I+FymuzK/jd/Sa0/5Ua8QA+46Skd6sPtHJ7LWlDRwMoeDFIdNzUtRpEEim1ei3HnuNfDbz9P17s+HByhg5LpbN9/Kx+d/PCVTUqpGpXRzqsrBEwCzmIuze10L3Qejyrp6D4cHKBD87J9bQ5cn8XneLGZa+ltM46h1oDVctnLeyrgYttovMv5UjE5u0hmkDAoh6gAJIIR4D8aCjoocYWVi8dlsiQ0tEYauSKNXlbPKdL8qZ1VU20Bq5rAcG2mUeWYcObQZGk+Pn0wZwb7B45TbXFTZ010EyGDEDx1DtpRWmo+k32TyfI2zgSF/P/2+noz6YsbCaZXsOdFPVzFqRhVjSzKbl1XuDNb3anbTXGcT5rk91pSUqlEp3ZyqcvAEwCLmoug5Yti8IvCWlJl/9ro/4eHMYsZtd5u25Y6wQppdj1jtFxl/KkYnN+kMUr4JPA6cKoTYDNwPfCMvvZqkWJlYHIFAYkNLhKEr0ujV6+013a/X2xvVNpCaOSzHRhplnhknhrqg/e2Ej3oB7B9qpclVh0hlFUYTWvvtSARTMriTAjGDlJJGANpyPHkeYOsBdTdFkYRkNi+r3Bms79T9prkuIM1ze6wpKVWjUro5VeXgCYBFzEVRPcuweUXgHBk0/+yTrOxuFjMev8e0LU/E3XCz6xGr/SLjT8Xo5CadQcqpwIcwtMNPAs2kN6dFkQRTE8vStdS/uC7e0hVpaCmfGrZ5RBq97tt1H7ctuy1qv9uW3cZ9u+4znmlefgf1L65LzRyWByONMs+ME0deMX4nWB9FSknzYCvTs1jEsSVN/XCIgeDnXzkQfScFyOkjX3MbynA5NF5Wj3wpkpHI5pUod+54CD51P7Wv3s/6998elevWLlvLH975Q0qmpFSNSunmVJWDJwBmMRdn93oAak6JKqutms36mJhav3wdte7E53mzmJlRMcM0jprKm8JlG5s3xsWw1X6R8adidHKTjt1rp5TybCHEezEsX7cD/yylvCCfHTSj4ExJiUhmjImtHmv3kgLNN4TPVUWHPhK0adiod9UZ36JF2r3AsMg43HTZbHh1n2H30r34dB8OzYGGxkhgxDBy2Nw4RvoTm2wysHtFvZ8kVo4CsXZEUnDWmZzz11vglQ3w2YcNM5EJJ0a6+cDW73Bt0wourj8no8P8Zlc5j+0u499XHMCe5kf60Vd/SGvjIl46z7hZq8sAP979/7hs+tVcOeeGjPpjxg/+soc+j49n/2F5ztocByZ+zI4nAX/QiuQ3Ho+0l4zavITNsCdp2miOjMydQhj/xgJedJuTLunHi44QxmOWQgiqS6rpHu4Om5JqXTX0+wbicqJf9xumpGAut7KApZtTld2rgEn1PByO0aC5q6w+xu41xTDRxdq9IOJ6I2j3ElrSY5rFoq7rdA53huO4zlWHpmlR9ZTdS5Eu6dwJCU2S/wiwQUq5UQjxvdx3aQKRriVL19Ha91AfU99fP4/m3v3xZhetDPsvPxrXtqZp1GNuxYi0eyU0ZCQy3aRByPSV6XZFHji0GernWw5QAPYNhibNZ3cnpa7Ul/YABYy7KZFrpWjCRo2zPqdrpQCcNb2KX71ymGM9HqZXu5PvoJhcRJgTR01Jv4Jdj8K8S60tXya5UwNqY3KymfFo3Yp1bNixgU0tm6JMRnbNztSy5Ca6dHOqysEFSqrXD7oO7XsS270+8xDYXfDAJ6LKtMaF1JdPS+uYutTZ37M/zu417B9m9abVUXE8r3peXMyaxVqy+FMxOnlJ5/LhmBDiv4FPA38WQpSkuf/kI11LlkX9juFOc7ML/oRtm1kxIu1eypAxCRkZgONvpDAfxRggZDdISX/SfIgBd13UnBSAamcDJz1HLPbIjLOmGxKJl5rTM9cpJgkR5kQgaEq6Ds77XGLLlwWxOdnMeLRm0xpWzlsZfq3y9CQl1euHVOxev7kGug+k31aK1xUt/S3hAUqozMw+p1CkSzqDjE9jzEW5XErZA9QC385LryYK6VqyLOr79IC52SX2bkxM21ZWjEi7lzJkTDJaXjUeU0kwHwWgebCVansZ5fbM7i4EdDjRn75+OES/qw63tw+HbzBcVlPSQJvnGLrMnfl8Ro2b2jInLzSrk6nChAhzYpieI8ZjXxkYEGNzcjIDY+i1ytOTkFSvHzK0e6XUlkm9dOxe/iSmMIUiGSkPUqSUQ1LKx6SUzcHXx6WUf81f1yYA6VqyLOo7NJu52UXXE7ZtZcWItHspQ8Yk4/DLxrPJjacnrLZv0DB7ZcrJQRsBKdKeNB+iP3hrv2rgWLisxtmIX/roGmnLuF+xCCE4a3oVLzV3ENBTm5+nmEREmBPDVM8CPZCRATE2JyczMIZeqzw9CUn1+iFDu1dKbZnUS8fuZTZnSqFIB/W4Vj5J15JlUb/eVWdudsGesG0zK0ak3UsZMiYhhzdD7anx36pFoEud/UMnaMoiNo6FzF6lmX0D3FdqKIer+0dtXrUluTd8AZw9o4pej483j6llnxQxRJgTgdE5Ka8/mNjyZUFsTjYzHq1bsY6NzRvDr1WenqSkev2Qit3rMw9Bzdz020rxumJGxQzuXHFnUvucQpEuKdu9ComiMnikYueIrONwG9/SBbzGxGbNBj4PflclHf5BfHoAR9DuZY+we+kON10CvHq0/SLKiqE50TSNYf9woZi0CsXaEcnEtc74R+D7M2H+h+DdX7GsdtTTwYdf/S5fnH4pF9Ulnrtixe/fLuPXOyv41/cfwGVPP8cIqfOJV/6NPXM+zLYzvgDAoL+fDXu+y2fmruLipisz6pcZfcM+bvzVa3zrsvncfPG8nLU7hkzcmB0LkuXokDkJQEpAGncjg9YupDT2c9eBpzOpiSk251U5Kukc7sSn+3EErUi9vr64nDhWuXKMjqNiNhVirV3lU8FmcnfC7zPqRdq8hrujYlGXerzJy6ytFK5ZzGIkoAfo8HSE7V717nocNkd8+ylQgNcFoOxe44K6F5dvklmyrGwaDaePGjvKG7Ff8j2mbrwp3rhRPsXU4hVp7irUbzOS9VuRY1pfNwYqSeaj7BvK3ux1rM9OZYk/owEKgBQa/e4GqgdG75qU2sop0dycyPHk+UqXg1MaynihuaNYBymKTEnFoGSzQ0VT4nppmBzNcvLUSMMSUG+P3j5WuVLl5AIi1tplFVMBP7S9FW+gm3JmeECjS53mGCOX5eeagtnTLIY1m8a0mDjO6G2rGFREoD7x8cbKpjFwYrR82WoIDVAi6wSNG2a2jWIwwhRrv4uWw5uN340LE1bbH/w8snncq6XPlvGk+RB9pQ1Rj3sJIahzTeXY4IGs2jXjrOlVbD/czcCImug5qcjUoBRbL12TY5qMVa5UObmASDWmrAx0obt/FNfnWkx9VeQfNUgZb6xsGpFWGStbR9C4YWXxKnQjTLH2u2g5vAWqZ4OrKmG15sHj1DkqcdtKMjqMlNDSa2dKhvNRQvS5Gyn3dGD3e8Jl9SXGICXXj6mePb0Kvy55Ra0+P7nI1KAUWy9dk2OajFWuVDm5gEg1pqwMdIFRaUkxfa7F1FdF/lGDlPHGyqYRaZWxsnUEjRtWFq9CN8IUa7+LEj0AR7YkvYsCxuNe07O4i9IxpDES0JiSodkrRG9wsmZ1/+gCjvWuaQwFBujx5lYZPG9KBS6HxgtqvZTJRaYGpdh66Zoc02SscqXKyQVEqjFlZaCLmA9STJ9rMfVVkX/yOkgRQswUQmwSQrwthHhLCPH3JnWWCyF6hRA7gj/fzWefCg4rm0b51NHyzXfCynssjRtmto1iMMIUa7+LkhO7wDuQdBFHvwxwcOhEVvNRjvYaz0FPKc/2cS/juejIeSn1LuOZ52NDuX3ky2HTWDitkmf3tOX8Lo2igMnUoBRbL12TY5qMVa5UObmASDWmrAx05aMrvRfT51pMfVXkn3xPnPcD35JSbhdCVACvCSGeklLujqn3opTyo3nuS14wtVBIkhu9QmiaMUn+S0+MGjwcpdB/HL2yia6v/DVo43BQ+9VNaD5PXJua0JhXM48HP/JgvBEm4E/N6JHo/eRpslqifityzJEtxu8kk+aPeNrxyUBWa6S0BPXDU7KckzLoqiEg7FHzUupLgoOUwYOcWXNBVu3HsmhWDT976SDNbQPMn1KR07YV40AqZkVNM+4ufuVp63qhdsob4Yt/NgxKIdNSqF5EO7qu06WBF4lzpCub8AwcAAAgAElEQVQ+pwXb8yPoIGBYvWwO6t31lutKmOXK6pLqnOdqlZMLCKvYlDr0tkYbv6acGX0NUTYlyjSnlTaYf64SGDyZtskLyLgsWSypGFREktdBipTyOHA8+He/EOJtYDoQO0gpSiwtFLoN7YFPJLW8GI2YGDxW3oO+8zc0L7mOVVtuTclwYWbb0AN+mrvfYdVza0bbWL6OeTXzTQcq42HVKGT72ITi8GbjZFaW+P91c/BZ4BklmX8mR3vtVDr9lDr05JUTIIVGb2kjNb2Hw2Vuexnl9qq8TJ5fNLsGXjrIU7tPqkFKsZOGbSuhzSjUzqb/gAv+Dh6/2bo9TUMva0icQ4Pt+Xc+wjuLrmbNc98M11u3Yh3za+YnHKiEcmU+c7XKyQVEbGwG/HDyTXOTV9UMo45F7GuNC6M/1xT+jZjF2YYPbMAb8CYtW3/xepw2Jzc+dWPaMapiUBFizIamQog5wHnAVpPNS4UQbwghnhBCJP6qt4CwtFD0Hk7d8mJm8Nh4E13vWx0eoES1nYbhosvTHh6ghNt4bg1dHvO+KKvGBEVKOLQ56V0UgL0DLdjQsjR72bM2e4XoKZtKbd/B4PoUBvWuaTl/3AugptTJaY3lPLX7ZM7bVowxubJthdo595rRAUqC9pLm0GB7HUs+Hx6ghOqt2bSGDk9qc61Urp6kpGDyypmxDvM4a+lvSals1bOraOlvUTGqyIoxGaQIIcqBR4HVUsq+mM3bgdlSynOAu4A/WLRxgxBimxBiW3t7YUxutbRQlJRFV0xkebEweHg1e9aGC6/uN29DN9esKqtGbimYmO14BzxdqQ1SBluY5qrFYfFtbjKkNAYp2T7qFaKnbBpubx/uke5wWb1rGseHDhOQudcFL55Vw46jPbT1Dee87WKgYGI2W3Jl2wq1k8SwGCJpDg2257PZTOv59NRkEypXjzJhYjYVUjB55cxYh3mcue3ulMpaB1tx291xZZMxRhWZk/dBihDCgTFAeVBK+Vjsdilln5RyIPj3nwGHECLuPp+U8qdSyiVSyiUNDbmZjJgtlhaKkcHoioksLxYGD6fuz9pw4dTs5m1YXIAqq0ZuKZiYPfyy8TuFQcqegaPMdGXe144hjWG/RmOWZq8QPcHFwep6D4bLGkqm4Zc+TgzldlFHgMWzawB4Zk9bztsuBgomZrMlV7atUDtJDIshkubQYHuOQMC0nkNLbYVulatHmTAxmwopmLxyZqzDPM48fk9KZU1lTXgi9PGhsskYo4rMybfdSwA/B96WUt5hUWdqsB5CiPODfSqKxQosLRRVs1O3vJgZPFbeQ+2Ld7J+6dqsDBe17gbWL18X3cbyddS6zfuirBoTlMObwV1rrJqdgC5vP23eXmZZxEcqhCbNT83VnZSg4as2YpAypdT4t3JoYG9OjhHJjBo3jRUl/PWtE8krKwqXXNm2Qu3seAiuuDtpe0lzaLC9+m33s275HVH11q1Yl/Jz+CpXT1JSMHnlzFiHeZzNqJiRUtn6i9czo2KGilFFVoh86jaFEO8FXgR2AaFZtP8MzAKQUm4QQtwMfA3DBOYBvimlfDlRu0uWLJHbtm3LW7/TwdSeJbTU7V4Afp/xTKnuB80OJRUw0o/ucNMlwKtnbrgoZLtXgSLy0ei4xayUcPsCwyB30bcTVt3SvYcbdq3n23Ov4l3lMzM63B/3lHL/G5XcetFByrKcOB/iQ6/dSWfNfJ5b8g8ASKnzk7dv4YLGS7n2tG/l5BiRPLj1MH958wTbbrmU6tKi+NZvYsVsrrCyeyWzfkVuFwKEDWQAbE4IeI1/UwnyetIcGmv3kn4cWmK7l+nbK+5crWI2FQJ+49og0uQlZfT1QvlUsMfcgUvFbJdivbG2exUweYlZRWLybfd6iSQfrJTybuDufPYjb+g6Wvse6s3sGFa2mFgCfmh7y9TWodnsZOu30Gx26oOPzKRUX1k1JhYdzTBwEs76VNKqe4Prkcx0ZWH26rNT4fTnbIACwcnzvaMT5YXQmFo6k4P9b+fsGJFceGo9f9p5nCfePME1589KvoOiMDGzdiUzGpltv+Ju2PrfsOKfrS2NkYdNlkOD/bIDU61rJX97KldPbMxMXlc/AI4ySGYPTWSsiySFelZxlk2ZQpEqRTukLQhyYZBJxdahUGTKweeN31PPSVp1z2ALdY4KymMmO6bD0V57zuajhOgpm0rl0EkcvtG5XlPdszk2eICRQO4nuM+pK2V6tZuNO47lvG3FOJMsZ5ttf/xmw+6ViR1MocgUs2uDh6+F7gPZW+sUiiJBDVKyIRcGmVRsHQpFphx6EcoaoSL5d7ZvDxxlRhZ3UQI6HOm1M618JOM2zOgqN/z/9T37w2VT3bPQ0Tk62JzTYwEIIVh6ah1bD3RxondyWr4mLMlyttX2kN0rXTuYQpEpVtcGjtL4MhWXigmKGqRkQy4MMqnYOhSKTNB1OPgiTD3LeLY+AQN+DweHTnJKaYqPKZrQ2m/HG9CYXpHjQUrFdAAaut8Jl01zG/9m8vfIVx0S+NPO1qR1FUVEspxttT1k90rXDqZQZIrVtYFvKL5MxaVigqIGKdmQC4NMKrYOhSIT2t4y1keZdnbSqm/1H0EimVuaedwd7DamuOV6kOKzu+l1N9LQMzpIKXNUUumoZX/fWzk9VohpVW5ObSjj0e0t5FMuohhjkuVss+1X3G3YvTKxgykUmWJ2bXD1A1AzN3trnUJRJOR14nwxouuSzkEvXn8Ap91GXZkTTbP4FlrTjAlrX3nauN3qcIMegL5jqVm9AGx2aDwDvvjnaFtHAgNXmm8oPdOYYuJw8EXj99Tkg5Rd/Ybi9xR35oOUA90OHJpOQ2nuH1XsqpjOtO53DLNN8K7QzLLT2NPzGroMoAlbzo+5YkEjP3vpINuP9ITXT1GkRlp5dCzRNMN096Unoo1JoZwYm9NDdq+PrQN3XepWMJVri55xj2GrawPNNhqfVnFmZgXL1TWFQjGGqKiNQNcle0/289X7t9HS7WFGjZv/+fwSFkypSDxQKZ+S3BpjfVDo2Jv+fqm9ocz6pJgYHHwBKpugLPm3bDv7DzG1pIYyuyvjwx3qsTOtwostD6HVWTGTU9pep3zoJANlxkBqTvkC3ur5G4cG9jK3YmHOj7nstHp+/bcjPPDKYTVISYOM8ujYdQ7a9yTOibmygqlcW7QURAwnujZIZOQys4IFjaFqoKIoNlT2jKBz0BtOSgAt3R6+ev82OgdTmJSWqekrF4aw8WhbUdj4vXDohZTuokgp2dl3KKu7KLqEA10OmnI8aT5EZ4Uxeb6he3Si/OzyBYBgd/ereTmmy2HjffMa+NPOVjoH8vO+JiJZ5dF8k688rXLthKIgYjjTmFLGUMUEQg1SIvD6A+GkFKKl24PXH0i+c6amr1wYwsajbUVhc+Rl8A7C9HcnrXpipJtOX19W81HaBm14/LmfNB+ir7QRn+aksXtPuMxtL2OqeyZvdf8tL8cE+MC7puALSB7Z1pK3Y0w0ssqj+SZfeVrl2glFQcRwpjGljKGKCYQapETgtNuYURO9RsSMGjdOewrPu2dq+sqFIWw82lYUNu/8FTRHSpPmd/YfAijISfMhpLDRWTmLqZ3RE+XnlC/gYP/bDPn783Lc6TVuzmiq5BcvH2SkEC6yi4Cs8mi+yVeeVrl2QlEQMZxpTCljqGICoQYpEdSVOfmfzy8JJ6fQc6h1ZSmcaDI1feXCEDYebSsKm3f+YqiHHckXZny1Zy8lmoOZWawMfLDbgSYkU8vz981xW9Up1PQfxTXSGy47pWIhOjpvdL6ct+OuPHc6J/tGeOTVo3k7xkQiqzyab/KVp1WunVAURAxnGlPKGKqYQKhZVBFommDBlAp+f9Oy9I0esVaYVO0ume4H6AE/XZ52vLofp2an1t2AZrNHW2YqpsKXn4aAMs5MGjr3Q9d+OP+GlKpv6dnDgrIZ2LMwZB3odjC1zIs9j6HVVnUKAFM73+RQ0zIAprlnU+Ws45X2p1g65YN5Oe6ZTZUsmFLBT57bz6ffPZOSQrgjUMBklUfz37nM83QmVrChdsv2danTNdyFN+DFaXNS66pFEyo3FwIFEcPJYs4Km92YJB+7n8mkectrCIWiQFDRGIOmCRoqSjLdObF1I4f76QE/zd3vsOq5NbQOttJU1sT65euYVz0PLV+2MEVxsPfPxu8U5qO0DndyxNPOsqbM7Vi6hH2dDhbWD2TcRip0lzXhs5UwtWN0kCKE4F1Vi9na/hRtnmM0uqfn/LhCCK5cNJ3/fGIPj2xr4br3zM75MSYaWeXRfJNJnk7VClbakJLlS5c6zd3NrHp21Wj+vng982rmqYFKgTDuMZxKzFlhs0PVjMTNW11D1MxXAxVFwaCyYZHS5WkPJxeA1sFWVj23hi6PssxMet76A9SdBpXTklbd2rMXgIXls5LUtOZYn41Bn8ac6uGM20gFqdnoqJzNtI43o8rPqb0QITSeaf1d3o591vQq5k8pZ/0zzfQPqwmok45UTUsp1usa7goPUCCYv59dRddwV77fiaJYyLMxLuE1hEJRIKhBSpHi1f3h5BKidbAVr/Qry8xkpvswHNsGs5elVH1L9x6q7WU0ldRmfMi9HcZz2rOr8jtIAeORr6rBVko9HeGyckcVC6uX8MKJP9LmyY+FSwjBde+ZQ0f/CD9+ujn5DoqJRaqmpRTreQNe8/wdUHlaESTPxjjLawjdn5P2FYpcoAYpRYpTs9NU1hRV1lTWhFPYlWVmMrN7o/F79nuTVg1InS3db/Ou8pkIkfmz1ns6nJQ5AnlZaT6W1pr5AMw8uS2qfFnjh7AJG//7zvfx6/npx2mN5aw4vZH/3XyIvSfyYxNTFCipmpZSrOe0Oc3zt03laUWQPBvjLK8hNPWol6JwUIOUIqXW3cD65evCSSb0PGmtW1lmJjVvPgp181J61Gt77z56/IOcUzk3q0O+3e5gTtUwWYxzUqbf3UC/qy5ukFLuqOIDTZ9mf/+b3LX7nziZpzsqV797JqVOG//82C4CuszLMRQFSKqmpRTr1bpqWX/x+uj8ffF6al2Z39FUTDDybIxLeA2hUBQIashcpGg2O/Nq5vPg5b+IN3NkaAtTFDkndsHxHfDur6ZU/a8dr+MUds6umJPxIU8O2GgbtLN0enfGbaSFEByvmc+pJ7dh9w/jt7vCm06vXoRP9/Ls8cf4l9euxaGVYBcOAtJPic3FKRULuaTpKt5VvTjjw1e6HFy3dDb3PLefezbt4xuXzMvFu1IUOqlawVKspwmNeTXzePAjDyq7l8KcLMyfKTWf6BpCoSgQVDQWMZrNTn25yTfmmVrGFMXN9l8ZCzjOXZG0qlf38UTbNs6uPAVXFo+Y7Dpp7HtarSdJzdzRWruA+ce3MK1jJ0ennh+17aza9zCn4nSa+3bS7+vBr/uwCTsjAQ8H+nez882XuXjalXx67s0ZXxC+97R6dhzt4c6nm1k2r55Fs2py8bYUhU6qeTXFeprQqM9ibSLFJCDP53LLawiFokBQgxSFYiLg88DO38CspeCqTFr92c6d9PoHuaj2zKwOu/Okk8oSP41jMB8lREflbLx2N3Nat8QNUgAqHNUsqrsortyv+3np5J949vhjAHzm1FUZHV8IwZffewrNbQN849ev8/jNy6grL1DdrkKhUCgURYq6t6xQTATe+j0M98L8y5JWlVJyf8szNDqrWFg+M+ND+gLwxokS5tcOjcl8lBC6ZqelbiGzTmzF7k/dKGbX7Cyf9nEW1V3Es8cf42/tz2Tch1Knnb+/ZB7t/SN87cHteP16xm0pFAqFQqGIRw1SFIpiR9dh851QcwpMPSdp9b/1vMOu/kNcVr8oq2fgd7c7GfJpnNEwmHEbmXK44RwcgRFmnng17X0vmnoF00vncn/zD+kYPp5xH05tKOeGi+byt4Nd/Msf3kRKNZFeoVAoFIpckddBihBiphBikxDibSHEW0KIvzepI4QQ64UQ+4QQO4UQi/LZp7yi6zBwEnqOGr919e2qYgxofhLa98KZV5LslkZA6tx+8DHqHBW8t/aMrA67tcWF06Yzfwzno4Ror5zNYEkVpx57Pu19bcLGh2dci0Ty0P4fZzW4WHZaPZ84bzoPbzvKfz25N+N2FOOIytuKQkXFpmKSk+87KX7gW1LKdwHvAb4uhFgYU+dDwLzgzw3AvXnuU37QdWjbDT+7FO480/jdtlslFUV+kRJeuB3KGmHO+5JWf/DYJt4eOMpVU5dl5cP3BWBrSwkL6oZw2MbhDoLQONJwDk3tb1CWwQrMlc4aLmz8ILu6X2FH50tZdeVTi2dwyemN3PvcfjY8vz+rthRjjMrbikJFxaZCkd9BipTyuJRye/DvfuBtYHpMtZXA/dLgFaBaCFF8uomhdvjNNaMrxPYcMV5ncAGlUKTM24/DsVfh7KshyaBjR+9+1h38A+dUnMIF1QuyOuz24yX0jdhYMm38FjXcP+XdICWnH3oio/3Pq7uIelcTDx+4i5FA6nNbYhFCcP2yU1g6t47vP7GHB7cezrgtxRij8raiUFGxqVCM3ZwUIcQc4Dxga8ym6cDRiNctxA9kEELcIITYJoTY1t5egP9I/d7RZBKi54hRrpiU5D1m/V546laong2nXZqwautwJ6t3/5RaRwVfnvnBrFaYB3jmgJvKEj/za4eyaicbhlzVtNSfwYLDT2H3p//ImU3YuHjaJ+jytvFky0NZ9UXTBDctP5XzZlbznd+/yQOvFOdApeDzbK5RebvombAxq2JToRibQYoQohx4FFgtpeyL3WyyS9zzI1LKn0opl0gplzQ0FOCKqHbn6MqwIapnGeWKSUneY/blH0P3QVj8JdBsltWODXfypTfW4dG9fGPOxyiPWAAxEw732Hn9uIsLmvqwjbN6452mC3H6h5h/+KmM9p9ZdhoLqs7jLy2/zmoSPYDdprH60vmcN6uaW/7wJv+7+WBW7Y0HBZ9nc43K20XPhI1ZFZsKRf4HKUIIB8YA5UEp5WMmVVqASA/qDKA13/3KOaUN8JmHRpNK9SzjdekESpqKwqHtbXj+v4x5KDOWWFY76ungi2/cQa9/iH845Uqmu+qyPvRv3yqnxKazbGZv1m1lS1fFTE5Un8rZzY/i9A5k1Mb7p16BEIJHDvwk6/447RrfvHQ+755Tw9o/7mbD8/uV9auQUXlbUaio2FQo8ruYozCeKfk58LaU8g6Lao8DNwshfgNcAPRKKbP7SnM80DRoXAhfedq4HWt3GslEU5ZnRY7xDsFjXwWHGy640bLaYU8bX37jTgYDw/zD3CuZ7W7M+tDbW51sbXFx2dwuSh2FMYHzjTkf5LId93J286NsO+MLae9f4ajmgoYP8NLJ/+Ot7lc5o+bdWfXHbtNYdck87nluP99/Yg/Hezx892NnYNPGcDEZRWqovK0oVFRsKhR5X3F+GXAdsEsIsSNY9s/ALAAp5Qbgz8CHgX3AEPClPPcpf2galE8Z714oJjJSwh//Hk68CZd8F1xVptX2DbZyw667GA54+Ye5VzHLbXz75vEJdp50cqzPTrdHw2GDutIAc6p9LKj3YU9w/msbtHHvq1VMKfOyfHZ3Pt5dRvSWTeNg43ksPPh/HJy+jM7q09JuY3Hdct7q/hsP7LudfznvZ5Tay7Pqk13TuHnFadSWOvnllsMc6/Gw/przKHXmO+Uq0kblbUWhomJTMcnJ6xlTSvkS5nNOIutI4Ov57IdCMSGQEp6+FXY9AudeCzPMv/Hf3ruPm9+8F01ofPvUq5heUs/uNgeP7y1jx/ESAtL4J+myBwjoAp+uBV/rnDPVy7ubhlnUNEJFyehjSns7HPx4SxUjfvjyOScSDmbGg51zPsiU3v28/7U7+ONFP8LnKE1rf7tm54MzruHhA3fz6/138uX538laLqAJwbXvmU1jRQm/3HKIT967hZ98bhGn1Jdl1a5CoVAoFNkghPgz8FkpZc949yUR6ms9haIY0APw1Hdhy92w4MOGctiEv7S/xnf2/pJaRwWr53ycg+2N/OTtMvZ1OSl3BFg2s5eF9YPMqBzBaZNICYM+G4d6XOztcrOnvYytLdVoQjK72k+1K0DnkI0jvQ5qXD6+ct4JppT7xvjNJ8frKGXr/E+xfNfPWbHtv3jm/H8iYCtJq43ppaewtPGDvNz2BLPKTuOyGZ/JSd8uO2Mq9RUl3Pvcfj6y/kXWXnEGn1w8I+tBkEKhUCgUmSCl/PB49yEV1CBFoSh0eo/Bxq/DgU1w+sfg/K/GrSw/FBjhxwc38uvW55jrnsbZ8tPc9nQDxwfs1Ll9fGJBO0um9cctvCgElDsDnNk4yJmNg+iyg2P9JexuL+Von4v2ARulDh8fndfL+U19uOyFOwm8o3I2r877BOc3/55Lt/4Hzy/+JsMl5o/DWXFBw6V0jBznd4c2YNMcXDztypwMJhbNquH7V57F3Zv28e3f7eS3r7Vw68cWckZTev1TKBQKxeRACFEGPIIhlLIB/wb8AHgYWBGs9lkp5T4hRAOwgeB0Cgyb7uagXfcuYAmGOXetlPJRIcQhYImUskMIcS2wCnBiLBNyU7CNn0fsd5+Ucl1e37AJapCiUBQqA23w6s/h5fWg+2HpN2D+B6OqeHUff2l/jbsO/ZETI91M1y9g366P8IbPyczKYT57ZgdnNQymrArWBMysHGFm5Uge3lD+Odx4HiBYsm8jK59bw2vv+hz7Z7wfmWShyxCa0Pjw9M8R0P08fOAuDvS9xafnfp0qZ/ZWtLryEv7lowvZtLeNh189ykfWv8RF8+r5woVzWHZaPS6HtUZaoVAoFJOOy4FWKeVHAIQQVRiDlD4p5flCiM8DdwIfBX4MrJNSviSEmAU8CbwL+BcMIdVZwTZqIg8ghHgXcDWwTErpE0LcA3wOeAuYLqU8M1ivOv9vNx41SFEoxpOAD0b6YaQPhvuMdU/a9sDhzcaP7odZS+k/93O0Ocrp6TpG+8gQb/edYEffAd4efguPHICRqQwdv5Hm4dksrB/kfbPamV01HHvDZVJwuPFcusumcf6+3/PeN+5h8Z4HOTplCR3Vp9FTPpMhVw0+eyk+hxtdc8Ttb9PsXDHrS7za/gyb2/7C9s4XWFR3EadXL6KpdA41JY1UO+vRRPoTczQhuOT0KVxwSh1P7z7JX3ef4Mu/3IbbaePCuXWcOb2KeVPKaaxw0VhRQk2pkxKHhtOmoSk7mEKhUEwmdgE/EkL8APiTlPLF4J390OrDDwGhuxuXAgsj7vxXCiEqguXhZ5ellLHWm0uAxcCrwX3dQBvwR2CuEOIu4P+Av+b2raWGGqQoFOPJ3Uug+1BMoYCaOXDmJ2H+5VA9i/f9YQOBileiasmAC//gfEo9i5jrns3CBT7OmtJJqUNi3LWdvIt+BdyVbKn7Ng2dbzPj+N84pXUz8488E1Wnv7yJv37o55ZtXDprJec1LuWVk8+wu3sbr3Y8G972s/c/RYktfoCTKm6njWsumMUnl8xgV0svWw92sru1j2f3tMWvZAvMri3l+X9cYbJFoVAoFBMRKeU7QojFGAbc/xRChAYKkaeJ0N8asFRK6YlsI7gUSKLntAXwSynlP8VtEOIc4IMYcqtPA9dn9EayQBTjQmNCiHbgcIrV64GOPHanEJgM7xHG5n12SCkvz3WjacZsphRDHKg+5obIPhZzzFpRyJ9BIfcNiqN/e8YhZgv9/0siirnvUNz9D/U9L3k2EUKIJqBLSjkshPg48EXgXGCDlPL7wbkkV0spPyaE+DXwupTyh8F9z5VS7hBCfB9wSSlXB8trpJTdoTkpQCOwEeNxrzYhRC1QAQwCXillnxDiXOAXUspzx/L9Q5HeSZFSprzkqhBim5TSeknuCcBkeI9Q3O8znZjNlGL4/6P6mBvGoo9jEbNWFPJnUMh9g6LpX14u9hLFbKH/f0lEMfcdirv/49z3s4AfCiF0wAd8DfgdUCKE2Ipx9+SaYN1VwE+EEDsxru1fAG4EbguWvwkEgLXAY6EDSCl3CyFuAf4qhNCCx/k64AH+N1gGEHenZSwoykGKQqFQKBQKhUIxUZFSPokxAT5McN7IT6SUa2PqdmBMgI9tYwD4gkn5nIi/H8YwhsWyKJN+55ICW5JNoVAoFAqFQqFQTHYmw52Un453B8aAyfAeYfK8z0wphv8/qo+5oRj6mA2F/P4KuW+g+ldox80Fxdx3KO7+F1TfI++ATAaKcuK8QqFQKBQKhUKhmLiox70UCoVCoVAoFApFQaEGKQqFQqFQKBQKhaKgUIMUhUKhUCgUCoVCUVCoQYpCoVAoFAqFQjGBEUJ8MbhAZNFQlIOUyy+/XALqR/3k4ycvqJhVP3n8yQsqZtVPHn/ygopZ9ZPHn4nAFwE1SMk3HR0d490FhSItVMwqig0Vs4piQ8WsopAZ8QeWHuv2vHy4c/DgsW7PyyP+wNJs2xRClAkh/k8I8YYQ4k0hxNVCiMVCiOeFEK8JIZ4UQkwTQnwSWAI8KITYIYRwCyEuEUK8LoTYJYS4TwhREmzz+0KI3UKInUKIHwXLPiaE2Bqs/7QQYkq2fU+FybBOikKhUCgUCoVCMS6M+ANL3zk58PjXHnitvqXbw4wa95x7r138+Pwp5VeU2G1bsmj6cqBVSvkRACFEFfAEsFJK2S6EuBr4dynl9UKIm4F/kFJuE0K4gF8Al0gp3xFC3A98Lfj7E8DpUkophKgOHucl4D3Bsq8A/wh8K4t+p0RR3klRKBQKhUKhUCiKgY5+7+2hAQpAS7eHrz3wWn1Hv/f2LJveBVwqhPiBEOJ9wEzgTOApIcQO4BZghsl+C4CDUsp3gq9/CVwE9AHDwM+EEFcCQ8HtM4AnhRC7gG8DZ2TZ75QoiEGKEGJB8PZT6KdPCLF6vPulUCgUCoVCoVBkg1/Xp4UGKCFauj34dX1aNu0GBxmLMQYr/0FdPZ0AACAASURBVAlcBbwlpTw3+HOWlPIyk12FRXt+4HzgUeDjwF+Cm+4C7pZSngX8HeDKpt+pUhCDFCnl3tD/UIz/2UPA78e5WwqFQqFQKBQKRVbYNe34jBp3VNmMGjd2TTueTbtBW9eQlPIB4EfABUCDEGJpcLtDCBG669EPVAT/3gPMEUKcFnx9HfC8EKIcqJJS/hlYDZwb3F4FHAv+/YVs+pwOBTFIieESYL+U8vB4d0ShUCgU2dM75EPKiSLIUSgUivSor3B+695rF3eEBiozatzce+3ijvoKZ7bzOs4C/hZ8tOs7wHeBTwI/EEK8AewALgzW/QWwIVhXAF8Cfht8hEsHNmAMYv4khNgJPA+sCe77vWDdF4ExM1QU4sT5zwAPjXcnFGODLnW6hrvwBrw4bU5qXbVoohDHzpMb9TkpMuWl5g6u/flWbv/UOVy12OzRaIVCoRhlIp5vSuy2LfOnlF/x8A1Lb/fr+jS7ph2vr3B+K8tJ80gpnwSeNNl0kUndRzEe4wrxDHBeTLXjGI97xe67EdiYeU8zo6AGKUIIJ3AF8E8m224AbgCYNWvWGPdMkQ90qdPc3cyqZ1fROthKU1kT6y9ez7yaeUWfkGDixOxE/5wUo+QjZl/c1w7Apr1tapCiyDkTJc8qDCby+abEbtsyvcZ9YfKaihCF9ol/CNgupTwZu0FK+VMp5RIp5ZKGhoZx6Joi13QNd4UTEUDrYCurnl1F13DXOPcsN0yUmJ3on5NilHzEbGvPMABtfSM5aU+hiGSi5FmFgTrfKCIptEHKNahHvSYN3oA3nIhCtA624g14x6lHCjPU56TIhpZuw2B5rMeTpKZCoZjsqPONIpKCGaQIIUqBDwCPjXdfFGOD0+akqawpqqyprAmnzTlOPVKYoT4nRTYcD95JOdE7jK6ryfMKhcIadb5RRFIwc1KklENA3Xj3QzF21Lpq2fCBDbT0t+C2u/H4PcyomEGtq3a8u6aIoNZVy/qL18c9Ixz5ORXDRMdi6ONEpNfjAyAgJQNeP5Uuxzj3SKFQjAWp5NzYOtUl1UnPN4rJQ8EMUhSTD13qDPuHue2V28LJ6M4Vd6JLXV08FhCa0JhXM48HP/Kg6cmmGCY6FkMfJyL+gI7HF6C+3EnHgJc+j08NUhSKSUAqOdeqzqnVp1qebxSTC/WpK8aNDk8Hqzetjpogt3rTajo8Y6bgVqSIJjTq3fU0lTdR766POmEUw0THYujjRGRwJABAfXkJMHpXRaFQTGxSyblWdXpGeizPN4r8IoT4VyHEpRnst1wI8adc90fdSVGMC7rU8QV8phPkfLq6kCkmUpnoON6PWqnJmOPD/8/emcdHUd6P//3MHskmAZIQDiMgYlFrLWqhXvgV4gVoq7YeVPFA2yq1rUWtV2s9WqsVfgrSFhGpgIqKd61nPVBb6oWoaFW0VgXKlRASyLHnPL8/Zmezx2yyCZtkd/N5v168sjPzzDOz7Gc+8zzP59rht57lQWVFfMJOdrSGe/mOBEHoCdLpXH/Yz8amjXhdXtHLvYRSSgFKa20mH9NaX9tD9+DWWnf4QpDpqdDj2CbekBlyDJDzGOIOkk90FOho/97Tnp7GpEcnMe3paXy2/TPMVP3Ya/codA9NAesdVNVPLCmC0JdIp3O/aPwi9h6I6Ejf0svhwGE0rP8X9V98QcP6fxEOHLYr3SmlblFKXRS3fb1S6jKl1OVKqbeVUmuUUjdEj41USn2slJoPrAaGK6WWKKU+VEp9oJS6JNpuiVLq1Ojnbyul/qWUel8p9ZZSqp9SqlgptTh6zrtKqRqH+6pUSj0Rvf4bSqkxcfe3UCn1d+CeTL6jTFKEHsc28S75cAm3TbwtpqSqS6uZUzOHKl9VL9+h0BnswPr43zE+0DEXXK06ukehe9jpj05Sou5eO2SSIgh9Aiede+P4G1nw/gLAeg/Mfms2t9fc3jf0cjhwGFs/fpIlxx/GvANHsuR4a3vXJioPAlPjtk8HaoHRWFXjDwTGKqXs6vP7APdorQ8CqoDdtdb7a62/CSyO7zhaXH058Aut9QHAMUAr8FOA6DlnAEuVUsVJ93UD8K7WegzwKxInJGOBk7TWZ2byBcXdS+hxbBPv458/DsD8Y+bjUi68Li+DSwbjNkQs84mOAutzwaTf0T0K3UNTwJqUVJZaK6PNQXH3EoS+QLLOBbj81ctZU7cm1mbFhhVcc+g1fUMvN229lYfOrqJhnbXdsA4eOruK6c/cSvnwLlWh11q/q5QarJSqBgYB24ExwHHAu9FmZViTlnXAV1rrN6L7/wuMUkr9EXga+HtS9/sAm7TWb0evtQNAKXUE8Mfovk+UUl8BeyedewRwSrTNy0qpgUqpAdFjT2qtMy6aJaNBocexzcD2ROXxzx+nurSaZScsi01QejuGQegcdmC9E/G/t01Bm/SFGLYlpaLEcuFsDUV683YEQeglDGUwsDixykR1aTWGkf7dUVCY4d1iExSbhnXW/l3jEeBUYCiWZWUkcLPW+s74RkqpkUCzva213q6UOgCYhGUdOR04P/4UwKmwlcrgnpza2H01OxxLi4z6hB6nI9ebXIhhELJHLrhaiUz1DvYkpb/PgwJagzJJEYS+QLLOPffZc5lx4AxqhlkhDAXt2uWE4d5E+YjEfeUjrP27xoPAD7AmKo8AzwPnK6XKAJRSuyulBiefpJSqAgyt9aPAb4BvJTX5BKhWSn072r6fUsoNvAZMi+7bGxgBrE06N77NRKDOtsR0FrGkCD1OR6436WIYlp2wrG+suBQYueBqJTLVO9iB8yVeF0UegxaZpAhCn8BJ516y4hKWTlnKVfqqvuchUTb4Mk6/98mYy1f5CDj93jrKBl+2K91qrf+tlOoH/E9rvQnYpJT6OvC6lcSLJuAsIFn57g4sVir2A1yd1G9QKTUV+KNSyocVj3IMMB9YoJT6AAgD07XWgei1bK6P9r0GaAHO7er3k0mKkHUycdVqzz0oF2IYhF3DSQZ6czIgMtU7NAfCKMDrMih2u8TdSxAKgEze8el0rqlNqssSM3r1CdxFrzP46ycy/ZlbMcO7Ybg3UTb4MtxFr+9q19Eg9vjt24HbHZruH9fmfVKtJ2itp8d9fhs41KGf6ck7tNavAK9EP9cDJzm0ud7p/ttDJilCVslGZW+JYchvcrG6u8hU7xAIm3jdBkopvG5D3L0EIc/JVL+LznXAXfR6V4Pk+yp9xM4m9BTZSDebCzEMQtfJhZTDyYhM9Q7+UASv23rNWO5ekt1LEPKZTPW76FwhG4glRcgq2XCryYUYBqHr5KJrlchU7xAImXhc0UmK20VrSBIVCEI+k6l+F50rZAOZpAhZJVsm3vZiVoTcJlfN/CJTPU8gHMHrsgIqvS6DloBYUgQhn+mMfhedK+wqMqUVsoKpTepa6whGgiyatCiWZrBmWA2LJi0iGAlS11qXkvLVPm9j00bH40J+EP87omHBsQsSzPwLjl0Amm79nUWWco9AuM2SUizZvQQh70nnxlVeVJ41/ZuJLhd93zfICUuKUqocWISVeUAD52utdznjgdAzOAXS3V5zO9cddh21rbX86PkfOQbY5WKAtdB50v2OD3znAfxhP8XuYmpbapn2wrRu+51FlnITfygSm6R43Qb1LZJNTRDyGSc3rvKicj5v+Dwr+jcTXS76vu+QK7/m7cBzWut9gQOAj3v5fgqGnlhtqPfX8+d3/8wVB1/B4kmLueLgK5j/3nxCOsQvVvwibYBdLgZYC50n3e9op5o0tdnh75wsp2Ez3Cm5FVnKTfxJMSn+oKx2CkKh0eBvyJr+zUSXi75Pj1KqWin1SBfOW6SU2q+DNjOUUud0/e46T69bUpRS/YEjieZd1loHAVluywI9tdpgmiZn7ncm1628LnadG8bfQNgMtxtgl4sB1kLn6eh37Oi4k5zOqZnDgvcWsGLDiozkVmQpNwmEI3js7F5ug5aQxKQIQj7jpK8XHrcwa/o3E10u+j49WuuNWNXnE1BKubXWaRWw1vpHGfS9YBdvr9PkgiVlFFCLVZ3y3ehsrrS3b6oQ2JXVhs74hIZ1ODZBsa9z3crrcClXzG/VJj7Azg7AS3dcyA86+h07Ou5kiVvw3gJOGm3VgspEbkWWchN/yMTrapukSJ0UQchvnMYV63asy0j/ZjKu8Lq81AyrYW7NXBZPWszcmrnUDKtJ6MtQhuP1ct3VKxgJHrapadO/1u9c/8Wmpk3/CkaCh+1Kf0qpW5RSF8VtX6+Uukwp9WF0e7pS6mGl1N+AvyulDKXUfKXUv5VSTymlnlFKnRpt+4pSalz0c5NS6vdKqfeVUm8opYbE9f/L6OevKaVejLZZrZTaSylVppR6Kbr9gVIqpaBjZ8mFX9SNVfXyDq31QUAzcFVyI6XUBUqpVUqpVbW1tT19j3lJV1cb7JWSaU9PY9Kjk5j29DQ+2/5ZgkKJb1PbWut4HZdytZsnvdDzqPcVme3odywvKmdOzZyE43Nq5lBeVA60WeJmvTWL854/j1lvzeLM/c5kaMnQ2DU6kttCl6WeItsyGwhH8ESzexV5XIQimoipd7lfQbDpK3o2V3AaVyx4fwFza+a2q38zGVeA9b6YceCMhPfBjANnxN4XAAYGN4y/IeF6N4y/ASMnhrTOBCPBw/7T8J8npz83/bDjHzt+5PTnph/2n4b/PLmLE5UHgalx26cDbye1OQw4V2t9FPB9YCTwTeBH0WNOlAJvaK0PAF4DfuzQZhnw52ibw4FNgB/4ntb6W0ANcKtSSnXhe8XodXcvYAOwQWv9ZnT7ERwmKVrrhcBCgHHjxslbLgO6mgo2nQVm2QnLYukE49vUtdY5Xscw2s+TXuh51PuKzHb0OzYEGljw3gKuOPgKBngH0BhsZMF7C7j28Gup8lVhYjpa4uYfMz92jY7kttBlqafItswGwm2WFPuvPxShtCgXXj1CIdBX9Gyu4DSuqGutY0jpkHb1bybjCrDeF5esuCSh3SUrLkloZxgG9390f8I75f6P7ufaw6/tif+CLrGtddutl6y4pCrpe1Utmbzk1t3KdutSFXqt9btKqcFKqWpgELAdWJfU7AWtte2GcATwsNbaBDYrpVak6ToIPBX9/A5wbPxBpVQ/YHet9ePR+/BH93uAm5RSRwImsDswBNjcle8HOTBJ0VpvVkqtV0rto7VeCxwNfNTb91UI2KvLyTEplcWVmNqk3l+folBMbeIP+zvlE3r3B3cze8JsGgON+Nw+WsOtDOs3LNZne3nSJY96bpJOPtLR3u8YjAQpLypnZP+RuJSLiuIKyovKE2JSnOStNdwKZG4VEVnKPQIhMyEmBaBVJimCkLN0pPvTjSvKi8rbfUek8+wwzbbyBV6XNyMPkMriSn560E8dxza5SliHd3P6XmEd3m0Xu34EKwZlKJZlJZnmuM+ZWjVCWmt7wh8hda6Qrp9pWJOlsVrrkFLqS6A4w2s6kitvip8Dy5RSXuC/wHm9fD8FQbrVZcAxoH6v8r34vOFztrZs7dACk7yaEowEufGNGxP6E/KTbCdcKHGXMHXfqVz04kWx/m6beBsl7hIgvcWvylfF86c8L1aRPMYfjsQsKPZkxR+SuBRByEUy1f1el5drDr0mtiiZSeyfk56vGVZDvb8+lgW0urSaRZMWdTj+yEfLuVu5N1WXVo9M/l5u5d60i10/CNwFVAETgKJ22v4TOFcptRRrMjERuL+zF9Ra71BKbVBKnay1fkIpVQS4gAHA1ugEpQbYo7N9J5MTv6jW+j2t9Tit9Rit9cla6+29fU+Fgr26XF1mDfoMZaQ1u9a11vHUf55ieL/hLDxuIfOPns+YqjGxuif2ioepzYQYgPO/eT6//uevJR1ggZDt9I7+sJ9LX7k0ob9LX7kUf9gPOMeTLDjWSiISMSOEzbAU6spTgmEzFpPS5u4lv6Ug5CKZpv+d8cIMLnrpIs57/jwueukiZrwwo8P3Q2VxJQuOXcD8o+ezeNJi5h89n6sPvTqlTMHst2Zze83tBRdfONA38LI5NXPqkmIz6wb6Bl62K/1qrf8N9AP+p7XuaMLzKFaIxYfAncCbQGMXL302cLFSag3wLyxLzjJgnFJqFZZV5ZMu9h0jVywpQg+SzpxqYDB51GQufOHC2KrG3Jq5VBRXcNMbN6Wkg7VXMlpDrZIOsIDIdnrHkBly7C+kQ7Ht+JU5n9uHP+xnxgszElIS712xN25DVFa+oLW2Ks4nuXuJJUUQcpPuTv+b7HExt2YuVb6qhP62+bd1aKnJx2KOXpf39a+Vf+3EJZOX3BrW4d3cyr1poG/gZV6Xd5cLl2utvxn3+UuswuhorZcAS+KOmUqpX2qtm5RSA4G3gA+ixybGtSuL+/wIlksZWuvr4/Z/BhzlcDu7lLEsmdz8NYVuJV261oiOpKx4z1wxk5ZQCys2rIjts1dWbCuNz+OT9K8FRLbT+XpcHsf+PIYHSF2ZK3YXM3PFzJTAybrWui5dX+gdghHLYhJfcR5kkiIIuUomur+r7wcnK83MFTOZccCMhHYzDpjBT178SbuWmnwt5uh1eV/frWy3w4f3G77nbmW7HZ6NCUoXeEop9R7wD+B3WusuB7X3BDJJKRDS5R8Pm2E2N29m/Y71bG7eTG1zLa2hVhZPXsz0r08H2syp6YovJq9MOAWxSfrXwiGt+5UmbX77ZDkLRUIxeSx2FaekIJ5/zHxcysXGJkuW4gPeXcrlKIedrUIv9C62W1dydq9WmaQIQo+TSY2STN7lXX3f23o+vv5Jla+Kr5V/LcEFbK/yvVL0/yFDDyEYCcbeL1LMsetorSdqrQ/UWu8XtbTkNOI7UQCkM32OGjCKzxo+i6Xzqy6t5sbxNzJ39VzqWuuYUzOH6ftPRytNZXFl2oD55DTXhRDEJqQn+fcsdhdT21LLtBemOZrWw2aYT7d/miBnc2rm8Oznz7Lk4yVUl1bzl0l/YenkpYR0iGJXMfX+es565qwUuVxTt4aIjjjKodaaaU8734OQewTC1mQk1ZIik0tB6EkydY/K9F3elcD5YncxM781k2tWXtOWQGXCbTQGGhNcwG6vuZ2aYTUx743v7fU9pu47lfOeO68tuP64joPrhcJA3u4FQHuB8PH5xqt8Vfgjfn43/nexqt4BMxDrx2t4uXH8jQkrJDeOv5FiV3GHqyZOAfpC/hL/e5rabNe0nixntnvWyXufHNte/vFyNBq0ZXVJ7u+aldfEzP5PfPpEiuVlbs1cZr89O+/M+32ZgG1JcUcD58XdSxB6hc64R3X0Lq/31/PY2sdix6vLqnls7WMd6mLTNGMTFPse6gP1KYHzv1jxCy4/+PKY/p++//QUN/TZb8/usHikUBiIJaUASGf6jHffGlM1hp9/6+exonl2hVZ7dXreUfPo5+3H3NVzEwokzV09l6sPuZpFkxbhUi6xkvRBOjKthyLOgfEu5QKslbDJoyYz/bnpbGzeyAMnPODYfs8Be8ZSDg/wDmDplKWEzBAew4OBEVtZc7oHIfdItqTE10kRBKHnyKZ7lNKKyaMmp6SUV7r9EhxBM/UefG5f2neHbc2JmJGUNis2rODqQ68W740+gPyiBUC6QDa34Y7tP/+b5ztW9dbo2KqKoQzqWuuYuWIm5z1/HjNXzKSutY4tLVv40fM/wuvyipWkD9JRoGS6wPiItgaj5+5/bsJKmM/tnGjBbbhjq3Mel4ehpUMZ3m84Q0uHYhiGJGfIM5JjUuzJSkAmKYLQo2QzGUrQDDqmlA+a7U94DJWqw1vDrWnvy7bSpHu/KJR4b/QB5FctAJID2WqG1bBo0iI0mkXHLaJmWA0DvAMcVyx2BHfEPhsYKQFxN4y/gVfXvcoVB19Ba6hVApb7IB0FSlb5qlLcs+bUzOGJT58AUgPh/WE/vz/i9wntf3/E7zHaUUdOOfYXHLtAzPs5TCDsnN1LLCmC0LNkM7lNugQ7YR1u9zwDg9kTZifo8CElQxxropQXlceC/F3Kxfxj5qe8X+KTrQiFi7h7FQDxwW6maVLvr+dHz/8oIRf5wOKBjoFmm5o3xT4bhtXP0ilL2dS0ifpAPc98/gzH73V8gpuYBCz3LToKpnQbbvau2DvBPWtg8UAGf3MwZ+x3BgqVIHvNoWZK3aUJgZc+lw+3q311lJxjf95R87r9uwtdJ+bu5ZbAeUHoTbKZ3Ma2bCSPJeyU8ulwu9yEzXCCDr/5/25m1IBRCfdVXlTO5w2fpwT533f8ffgjfjyGhypfldTM6iPIKLNAsIPdDMNICUSbuWImhkq1ktw4/kbu/uDuhFUVQxkMLhlMiaeEWW/NYsKICSluYhKw3PdIDqYEEtJZGspIcM/yuDyx9oNKBiVYWpRSXPrqpQl58C999VLLbzpNesx8zYvflwkkuXu5DQOXoSRwXhB6gWwlt0lnOR9YPLDdFMemaXL1P65O0OFX/+NqwmY44b4aAg2Oul4pFXu/yASl7yC/dIGRNkDODOI23LHVa41mWNkwZk+YnbKqEr/qItXkhWQ6W+032dICOMrUpqZNnPPcOY79SV78/KMtcL4toLbIbYi7lyDkMeks5/9t/G+77wSnwHl7bBKP6HohHrGkFBjpAuQUiotevCi2ej33nbn8p+E/seBmG7vg0+ZmqwhpqbdUApaFBHbJqqHBrdyxQqI21aXV1Afq0/aXzcBPoWewY1JsSwpYLl/i7iUI+Y3bcCdYzhuDjY7vhIZAQ8y6YiiDmmE1Cf046XCnAPvq0mpxL++jyK9eYKQLkIO21Ws7HfGNb9zI8Y8dz7Snp/HZ9s8Im2E+2/4Z056exqRHJzHt6WnUttSy4NgFko9ciNHZlS672OO5z57L8Y8fz/TnpjNlrymxiYqdoOHuD+5O2182Az+FnsF297JjUsCasIi7lyAUFk7vhCpfFVuat8TGE+c+ey4zDpwRm6ik0+Ee5eG2ibcl6PrbJt6GR7Uf8yIUJuLuVWCkC5CLrybvlI744pcvZumUpY6rIcuOXyb5yIUYtlUj02q/6Yo9Lpm8hDP2OwNDGdz0xk2sqVuTtr9sBn4KPYM/6u4Vb0kpcsskRRAKDad3wowDZjBzxcwUvb90ylKu0lel1eEhHeLO9+9MqNd25/t38qtDf9Wj30nIDWSSkieEIiHqWusIm2GKXEUopQiZIbwoKk0wDANKBoFhxALkwHLfqvfXY2qTRcctYvbbs9OmIw6ZzkX5gmZQ3GqEGHY64A07N8Syc42uGE04Emb9jvWxoHk7uDEUCVHlq0p46dz9wd2EzTAuw4Vbublk3CWs3b42wZ85eYUtXq6F3CdmSUlx95JJiiDkAvb4IGHhRwMttRAOgtsbG1e0d155UXnKO2GP/ns4jidMbVJdlujOldz3ig0rUor3XmFewcamjbJA1ceQSUoeEIqE+KzhMy5ZcQlVvipmfmsm16y8pm1Ad+h1jP7nnzEmXg2D94spFKcA57k1cykvKndOIaicUwtGdIRpT0+TFMQCAGYkgj/sT0glOadmDgveW8CKDSti23tX7I3bcFPsLk6R2RvH3wjApEcnxeTy5v+7GVObtIZbZVJcALSlIG4LnPdK4Lwg5ARpE6CYLoz7vgcN66B8BPzggQ7HFfOOmofH8CS8ExYdt8jZ4m60r9u9hrOlflPzJs5//nwZg/QxuuUXVkodrpQ6Uyl1jv0vg3O+VEp9oJR6Tym1qjvuK9+wg9hrW2tj7jLnf/P82GAPoi5Zb9zA1uNuwHzlZmsFJEq9v54/v/tnrjj4ChZPWswVB1/BHe/dgdtwc+P4G1PSERe7i1P8/m+vuZ3Zb82W1K95ji1L6dJDJhM2w2xu3sz6HevZ3LyZsNlWqKvOX+doxj9p9EkJ23WtdbFzkmX2mpXXxI7babK3B7bHUhLPeGGGyFie4w+ZGApcqm2S4nFJ4Lwg5AJpE6A0fmVNUMD6++AZsHMjNKyHpi3Utzqft82/LWGs8dAnD6XEltz8fzdbXh/tYBiG4/hEa514n/J+6BNk3ZKilLoX2At4D7CXzDRwTwan12it6zpuVvjEr1bceeydMYWQzlVrU2gnjUf8lNGmGZt5mqbJmfudmVCI8YbxNxDWYeaunpvgfjN39VxmT5jNaNPFsoOuIFhUijfQjOntn2J2lXSA+UVnUwbbge72xDjZMhJKU3F4gHdAwradbjidG2F8Zjmn80XG8ptAOILXZaDiJilel0FToP3K1IIgdD9pE6CUVCQ2bFgHjRvg7klQPoLgeU85nlflq+Kaf16TMNYY6BuYULTXbbgJR9p//v1hv+P45JKxlyTep7wf+gTd4e41DthP29NeoUvEr3JEdCRm/mwMNjqaQusD9Vz11iyWTV6C7bVvYqYEyF+38jqWTF5CXau1Gh7fhxeFcd/3qLJXUYC6sx/rVJC0kHukWzFbdsIyxxiPdIHuS6cstQo1Gm5HmWgMNiZs2xWIvUkV59O1T94WGctvAmEzIbMXRN29msTdSxB6GzvVb7JeNooHJDYsHwHNUQ+NhnV46/7jeN6GnRtSxhp3HHMHF710UUK7pVOWtntfXpfXcXwi74e+SXe4e30IDO3CeRr4u1LqHaXUBckHlVIXKKVWKaVW1dbWOpxeGNhuOa2hVq44+ArGVI1h6YdLY2bTuz+4O8UUesP4G3h13atccfAVtJrhmDuPqU3HFQ+Ndk7natJm5o1SueIm5tXMldSvXSBXZLazKYNDEWfLh20ZqSquYm6STMypmcNfP/trbHtuzdzYBKjShHmH/y6x/cTbEtonny8y1jtkU2YDITMhaB4kBbGQfXJFz+YbBgY3jL8hZSxhuH3WxASsvyf+CVbOjZ1njQluTzhvbs1cFry/IKH/jc0b8Uf8zK2Zy+JJi2PvhI5cjZ3Szcv7oe+SNUuKUupvWBONfsBHSqm3gIB9XGt9YgddjNdab1RKDQZeUEp94fYwngAAIABJREFUorV+Le78hcBCgHHjxhWklcbJLeeG8Tfwx9V/ZPkny7njmDvwGB6KXEUsnbKUTU2bqA/U88znz3D8XscnuHXZD7Fz4JrHOZ1rc62llOImKkbTVka7+yW4gFWaLisDiHL4EkKMXJHZzqYM9hjOCRTsPPWGy0WxuzjBjN/P04+zv3E253zjHFrDrRS7i9tcyVwevEnt+xserh17CVftcybeQDPlRhnXHnYtV5npU1MK3U82ZdYfjiRUmwcp5ihkn1zRs/mGoRT3f3R/glvV/R/dz7WH/QZ+9KKV3UspeOYK2NAWJmyOGI/b5UnQ5+VF5QkxiGC9M0rcJcx6a1ZCwpRid3EH95Wabr68qJxrD7+WqyLyfuhrZPNX/n/ArcD1wMnATdFt+1+7aK03Rv9uBR4HDs7iveUFTm451628jvO/eT5vbn6TkBli9367M9hXxWDclBcNwGt4mb7/9FiaV/u8i1++GK01t068NSUAzdA6ls61uqyaKl+V9cCXDLIyecSvoky9D6NxPVUrbqJ60SSq7v2+lfmjRVas8oXOFkKsMrzMSQp4nDPxNqqiWVnq/fXMeGEGF710USzQffbbs2P9Bc0gc1bNiQU21iuY88EigmYwdnzWu3+ChvUxmXI/dxVVIT/V4QhVkYg1CRbymkDITKiRApKCWBB6DdOEpi2xAPhKDT/d90xmvTWL854/j1lvzeKn+55JZSQCZUOgfDj0q4aaXyWMCeoOu5Db37k9QZ/f/9H9Kdb122tu57ZVt6UkTDHNjhcpkscnbsOdOl4R+gRZs6RorV8FUErdorW+Mv6YUuoW4NV05yqlSgFDa70z+vk44LfZurd8IZ1bzt4Ve7PshGVtOcy3fgSv3EzwyF8kpPyzrS5r6tawsXkj63au455/38Odx95JY7CRutY6K0D+//7gfAOGYaUa/OGLEGyC+s/h6Uuhaatl8n35t9aKSsM6a5VFyAs6WwjRHWxm75XzWXrUnwm5XHgiEar+MQf3hKugpDJFTsdUjeHM/c7kohcvSpBF+2VkaucEDqZRYnUwbBwcciEsnpI27aWQfwTCkVR3L7dBIGximhrDEFOsIPQIpmmNGx48I6Zjjan3MXrVvSwb8wuCJZV4W+qpfPbXGN9f1HaePSawLStuLyjtqM+rfFUJ7xjTNJ2T7pgydhAypztGAMc67JvSwTlDgH8qpd4H3gKe1lo/l/U7y3Fst5x4qkur8bl9basHLbXw4BnUf2saF//rN45WF/u8xmAjKzas4MIXLowFotW11uE1OpibmiErUC4c9dZrWAdP/gzGRwPZ7FWVpi2W8hNyHkfLWTrcXtxfvMbQeWMZPudAhs4bi/uL16wXFKlyev43z3dM0GDqMDSsx9QR5+MllTD9aTjxz/Dmne2mvRQ5yz/8DjEpRdHtQFh+T0HIGklWkhR9GR03JOjY5WdhHHQWVZEI1eGwZcEuHQIub2Jf0GZZKRuC1tpRn4fNcOI7xjAcxzMS8C50hqxNUpRSP1FKfQDso5RaE/fvC2BNe+dqrf+rtT4g+u8bWuvfZ+u+8omM3HLCQWhYR7CkMm0aWHtl4+4P7k7ZP2/ibVQWp6naba+2LJ5ipRt8/ldw1LXWSnfDOvBVWBOUk+bDI9Nh0TFWexlAFhZObn8/eMDaT6qcVhY5y6IZCcHc/TGbtzofb9kGS06A+0+zLCnDxrU1sNNezt1f5CxP8Ycjjtm9AHH5EoRsYb+3Fx2TXl+GAylJcSgbDJ4S6z2/5ATr74QrwIy021ckTQr6iE5MLdxZN2NBcCKbKYjvB54Fbgauitu/U2stVXcyICO3HLcXykfgbal3DG6uLh3KNYdeE3P7atu/G8uO+hOVb9+DMf5n1spIMk6rLU/+DCbdZCmw8hFwwq3w0vVtgXQPnmGZgp36E/ITJxN/yaCY61WynBrgHJgflVtv4/+cjzf+z9qIl7PlZ1n7ktJeipzlH4GQSbHHlbDPnrS0hiJUOJ0kCELncHpvp+hLlZIUhwlXWvo2/ryHzrbe8e305U6Tgt6tEoeTnXUzFgQnsiYtWutGrfWXwE+BnXH/UCqaFkjokA7dcqKr3JWrlzHv0OsSVykm/D8GtzYxOC7TRnVpNfMOvY6hy8+hat44jNfnWQPPePNwcx3s3ALBltTVloZ1UBpdWTc8sOy0hEwfEp9SoBhGgok/OTYkXk4H42behFuTZPFWKv3NAFS+dmtKCuJ5h/+Oytfi8mnYcgaOaS9FzvKPgEN2ryK3NWkRS4ogZImod0UCDesg1NrmsqUMOHUJTHvYcrGd9jBU7eN8nqckdV+c7q0qrmJOzZyUFMFVDh4anXIzFgQHuqOY42pgOLAdK0ltObBJKbUV+LHW+p1uuGbfIbrKbXznNkabJssmLyFoRvBGglQ+/xuMT55i9L7fYdmkOwi6PHhrP6Xyud9g2BOL8hGWz6kdRFc2GI6+Hv56kbWSnbzaUj4CBgyzsny0pKYopnxELFZB6JsYWjN69XKWHfUngoYbrxm2LHYjrAR9BjBauxPTWGt34gpJ+QgoLrdeoCVV8NJvEyfDImd5h98pu5fLiB0TBCELRL0rUt7LdZ9ai4rlI+C8ZyEShKcva0tOcvo9sM8JsPbpxPNCLYn9J+let9vD3gNGs3TyEkJmGI/hpqq4Crdb1qKF7NMdk5TngMe11s8DKKWOAyYDDwHzgUO64Zq9hqlN6v31nTdnmqY16E92p4nf7/KC4bJWROLbRFe5jUiYqqbNoE1YelJMSRmfPEXV5jUw/VmoGAWlUZNv+QiYusxqb5uHJ91kTVAa1lkr1yf+yXK9ic+y1K/auqYdqxCXISQ+VkHIYdLJW7rmnZFrw4Wx7/FU3fP9Nrk482FoqbMmHaWDMZadQlXyS/SEW9teolPvA/9265h/O0y8ErZ8kChnvoHWqmCG30HoXQLtxKS0iiVFELKD03v5pPmWWzZY+7Z/CU/8JMm16xw456+Jeva0peCrtCwtnhIItWBW7Uu94SLYtDH2LnC7PQwt2623vrHQh+iOSco4rfUMe0Nr/Xel1E1a60uVUkXdcL1ew6n44ryj5jG6YnT7ExWHdID84AEYtC/UfuKsbJq2JqZljYRhy4eWD+nJdzibbRu+tBTT1GXWgDDsh+d/DYdd1NbeV9H2ecMqK83wpJtgyP7gLUkcCHYQqyDkKOnkLU2K307LdSRkTahPuNV6sZXvATv+1/ZS/PEKZ/ms2htmfmidG9jZ5h9dPgLOetxKhR2JyplvYOqzIWmKc5pA2LlOCkBAJimCkB2S38tgJbaJt0SDsw7WtOntUIs1HgjsjFlczH2/w2fH/JqLn/lx58Y4gpAlukPK6pVSVyql9oj+uwLYrpRyAQVl43cqvnjxyxfHitilJV2gW9Pm1P1/vchK/Wu3sYsoNm22JigN66B1e1smJpvyEdb+hnWwfBroCNxzomXajW+ffO6GVVaQvLfEMRaho1gFIQdJJ29pCnJ2Wq51xHopLjvNyhITbIbHftx2PU+Js3wqlyVHCrjve4n3d9/3os6iUTlr3dap7yD0PsGwmVpx3iWWFEHIOvHvZaWsRc14Qi3OOrj+P216e9lpsO0zWH5mTM/Wf2saF79ySefHOIKQJbrDknImcB3wBNYw45/RfS7g9G64Xq+RrvhiMNJBgG9yoNuwcdZEJBKyrBgr57atgtipf+3P9kpJJNTWh5Obll180anv+PYr51om3pa6toC5ipHWdZq2iKWkEHAKrCwbHN2/PsUillauw37H9mid2H9wZ+J2uNVZPpWy+rPvJ/6c5ED5dMGhEkyfk2itCYTNFHevolgK4oJarxKE3iXenRcFZyyHHRvaLCT9h1keFcuntengqfdZxZrj8ZQk6Nl0pQ46HOMIQpbI+iRFa10H/DzN4f9k+3q9iV3ULiW1akfFiuID3YaNs2qROE0wNqxqs4hAYgCby9PWh+2mdcKtMHC0tRry8m+tdun6ttsP/ga0bEsMqEvnYibkJ8mBlcPGWckSlhzv6DqVVq63roV7v5/qapXc/87NiduNG+C9B6xJsq/Ckuc374Tjfgt/HJsoc/EJHuID5dMFh0owfU5iF2tM5+4l2b0EIUs4ufOefg+sWmJ5TpSPgFMXQ8nARNeu0sHpLS5RPZuu1IEUZBR6iqyPPJVSeyulFiql/q6Uetn+l+3r5AJdLlYUXyxv/My2SQQkVne3B28r56YGqZcNhdPvjav+vtVSOv2HWcHyE660zo0ErFXq+L6/d6d1vGIUGO621RW7TToXMyE/SS7OOOHKtmQJkPI7O8r1YTdQueImx/Yp/b/3AEx7pC3dpa8Cjr42sWjYoT+Blu1t/f31Iuu+wDkhQwcFJoXcwp6kJFecl8B5QcgyTu68r862dO70p63FoX/cZi1exrt2vT4/cQxRPgIGjIAf3B/bV7l6GfMmzun8GEcQskR3uHs9DCwAFgEF/SbqcrGi+EC3dLVJhuxvBQ4bLiu/ebKLjctttTnv2WjgsseauCjDCpCPt4zEW2Ya1lkr3U9fZg3y3EXO13dyMRPyk+TASh1p13UqRa41VC4/uy2NdVL7lP69pdC4PlEGv38XnPRnSz5bt1tWk2NuSOzPDqR3SsggSRvyCjswPmWSEktBXNCvBkHoOZzcxw+5EO4/LXEMUNw/8bzX58HhP4Ppz4AZthYsywZb9dCietZwexntGygFGYVeozsmKWGt9R3d0G9OYhcr6vyJ0UC3pi3Obix24Hp7uNxWDZN4mrakrxq//KzEgPoHz7AmOU7Xd3IxE/IXW94gvczF/c4Jct20JdUtIFku4vtv3JBayfixH6dWlLdlzN72+NqX+fhrCDlNzN3LnRQ4L+5egpBdkl1h03lnTHs08bzyEWCGrGD7ZOL0rAFdG+MIQhbojunw35RSFymldlNKVdr/uuE6hUGyG8s+J8A5T1qrIy311oCv/gvrbyRstYmvFt+0xdq2SRdg7KtIreTdsM7KsJTsRpPOxUwoDDrrOuXU/qzHrfSVTjIYn9TBpmEdDNqnrdrxmQ9bbmGZXF/IOwJhaxKSHJPiNhSGksB5QcgaJYMsfWy716arJO9yJ+rw0++1aqilG0sIQg7QHZaUc6N/L4/bp4FR3XCt/CfejcU0obnWShW855Hw7R9ZBZdiwXD3WoHudWvT14tIF2BsF8+z3b7s/cluNHYBSScXM6Ew6KzrVHJ7j89yGbTTBifLoCuNDDZttfyh7cwyJ86D0C0iZwWIPQlJdvdSSuF1G2JJEYRsEu/iPf3pNJby4kT38NIh7Y8lBCEH6I7sXntmu8+CJ971yw5iP+zn8NJvEzMivToLpvwBdm5sS9lqu2396EWrj3RV4ftVg39Hm9tO/Oq1uNH0PTr7mye7iyW7FK64CY6fZaUjVoaV1vrhcxMzxmmzrf3ys6Kuhg6uBkLeY1tSkicpYFlXJHBeEDIgPrVwusWc5MB5bSaWFQi1QEmVpZf7V7ed56TH48cSgpADZH2SopQqAS4FRmitL1BKjQb20Vo/le1rFRzxrloenxX8lpw+WGtrxSQ5GD5dEHO8YpPAYyEbpAvUXDylTVZPXtBxoLwZ7vFbF3qGgG1JcafqlyKPS9y9BKEjnFILO1k6kvVxUT8rIU984pKTF6TqW6k9JeQB3TFCXQwEgcOj2xuAGzs6SSnlUkq9q5Tqe5OZSNiKOUHHVYXVzsFvSlnWlTfvhJprLLeZ85+3zLc7o76lLbXWBCS5KrxUi++7JMcxRcLt+yK31x4Sqxc7BWo+MQP8jZZ71/KzLAtecqC8cnXvdxZ6jXR1Uux9/rBYUgShXZxSCzuVBLBdvGPbPkv/Jutjrds/DyRRjpBzdMcodS+t9SwgBKC1bsWqPN8RvwA+7ob7yW0iYdjyobUK/ch5lltM+QhobXBe5Wipt+pMHHIhVI6yPv/911D3GfzlGJi7Pyw6xlqBkSA4AdpW5BbFyceWD+FvlzjLS3L7v11itbe3n70STrun7QVXOshZVkujgfDlI6z28YHyJ/7JSnkpFCT+WAriVNXvdRv4gzJJEYR2ydTS4RuYWO8klKasgU4aD0jtKSEP6I5JSlAp5cMKlkcptRcQaO8EpdQw4ASs2ip9i6bN8NDZbZXjX7reCnC3s3HFUz7Cqj9hW1XCAevz+JntFucT+jhOK3IPnQ0HntG2HS8vye0PPKNNRsGqYvzabCtD1/Snod9QZ1ntv7tV9+S8Z+HDx6x+7OJib94plrwCRiwpgrCLKOWsV1XSxL91mxWvOukmS796StKcl/QsxruAz/zQ+itB80KO0R3SeB3wHDBcKbUMeAm4ooNz5kbbpF36V0pdoJRapZRaVVubR4Pv9tIFQ2q61g2rrGqwrfVtVhVwTh8caLQ++yrEtzQHyRmZbS8tdfy2LS/J7Z3ka+3TbS8z5bJ8npNl1XBbroX9quGAqYkV52t+JSt2OUi2ZDYWOO8Qk+J1G7SKJUXIEjmjZ7ONcll6NFmvuryJY4pw0NLHy8+y9OuTP3U+T6nUsYi4gAs5Tndk93pBKbUaOBTLzesXWuu6dO2VUt8Btmqt31FKTWyn34XAQoBx48bpdO1yikwC31we53SBRf2stILnPgVoqPs0NX1wOGqgat3eYXE+oefJGZlNl5Y6OUbElpfkFMLp5Gv7l9aEunyElU3mu/MseW7dbllKvjvHaitJG/KGbMlse5YUj0tSEAvZI2f0bLYxDEuPxmf4/OxF67OdBbR8hDVGiNfPG1ZZ5535sJXhy9bHU/5guexKumEhj8iadCqlvmX/A/YANgEbgRHRfekYD5yolPoSeBA4Sil1X7buq1fJJPCtbKgV/B6/6nHyAnj8Qrh7Miz9jpXf3O1LTB980nyoGGl9Xjk31eoivqWCjZPv8en3JsaIxBdnRMP3Fra1f+8BOP2exPNPmg+v3mJtN6yz0g2bofSWElmx61O0xaQ4WVKUTFIEoSNKBll6NN4C/e3z4ZU/tLl2TbrJ2etiwuVWCQP7vAlXwJt3iUu4kHdk05JyazvHNHCU4wGtrwauBohaUn6ptT4ri/fVe2QS+KYM8JRacSh2TnN3cWL7UKsVqxK/ovLS9VbBxfgCez98ESKyUi0k4WTJ8A20LB1TbnEuznjqkkTLyNuLYPoz0Q61leTBtuqBdd7A0ZZvs8hfn6ctBXFq4HyR2yV1UgShI5z0tmmmliY46zF45peJ44O3F1mWk0m/t9xu3UXw+rzE/sUlXMgDsjZJ0VrXZNJOKXWs1vqFbF03p0nnZhPvhtVS2zY4jG8z6SbLx7R8hDVQbNpqbSf3I0WXhExwKt7YXnHGR6a3ySBY8nb0tdY5jRvarHo2tpwOGNatX0PIDwJhE0OBKznIF3H3EoSMSdbbjRtS071v/8J5fGDra7B0vLiEC3lIbyx13pLugNb6Fa31d3ryZrqVTFL8hYNW9fip91nm26n3Wdt2dq8fPGC5hEmqQKG7SCeD8SmE4+WtbGhiykvbfaxsaO/cv5Bz+EMRvG4D5TBJ8boNKeYoCJmQnHhHuVK9M169BaYua398IOmGhTylNwoVZFIzpTDIJGDY44Ojr29LIWz7+1fuZZ0n1eKF7iadDFaMdHbfcrlhyP5WauFIyLKglA219gsC4A9HHIPmAYrcVgpirbXjJEYQBJwT70xdBvucYGXzsmnaCv2r2x8fyBhCyFN6Y1RRONk3MsHJzSYeM5Ja4+SvF8H0Z1OVjLh2Cd1BOhn84YtWoLsTLnf7rl2mabkyyguxTxIImY5B82Bl/NIaghGTIrerh+9MEPIEp8Q7y6fBOU/Clg8Ss3T5KhP1q22BSda/MoYQ8gxZ+uxtImmC6xu+hCd+ImkChe4nnQxGuhhUmUnqbaGg8YdNvA41UoDYfn9QJimCkJZ0iXcMd/sWEdG/QgHRGxL7ZS9cs2foqHCjE3ZwfTx2DYuywbBzIzSuy7w/oe/RFbmLJ50MxgdVduYamaTeFgoaOybFidgkRarOC0J62tPL7aVzF/0rFBBZs6Qopb7f3nGt9WPRv+22y1u6unphB7TFn3fin+CDh+CoaxNTDcpqiJBMNlbNnGQwPqiys9fIJPW2UNAEwu27ewFSdV4Q2qO40kpI8tDZbXr39Hut/e0h+lcoILLp7vXddo5p4LEsXiv3SLd68aMX2/cDjQ9oC7W2VZYfPzM11WAm/Ql9i67KXTwdBVV29hqZpN4WChp/KILH5RwUXySWFEHomOYt8OqsxPonr86C42e1Hw8o+lcoILJZJ+W8bPWVl+zK6oUd0GaaEGiysnX4KmQ1ROiYbK2atRdU2dlrdGSZEQoea5LSvrtXi1hSBCE9kZCVxSs+kxdYBRrbQ/SvUEB0S+C8UuoE4BtArHS61vq33XGtnCEbqxfJK9qyGiJ0RE+smnX2GpLuss8TCJv0K3J+vRR7rGB5cfcShHZweZz1rsvT/nmif4UCIuuTFKXUAqAEqAEWAacCb2X7OjmDnWrVNGHao1ZWLk8JhFqgYlTnVy/irSqyGiJ0RFdXzZJTBPsGQus255daV64h6S77NP5QhIGlzpNYe5LSHAj35C0JQn5RNhTOfNhKnGOPKQaMyKxoruhfoUDoDkvK4VrrMUqpNVrrG5RSt1Ko8SjxAcVlg+HYG+HpyxIHcl1FVkOETOiKnDgFwp9+r+XvvPbp1MB4kUWhk7RXJ6VY3L0EITMigcQxxdT7evuOBKFH6Y5RRmv0b4tSqhoIAXt2w3V6n/iA4vEz4fELspv2z14NSZdqUBCg83LiFAj/0Nlw4Blt28myK7IodAJ/OH0K4iLbkhIUS4ogpKVpMyw/K6mY41nWfkHoI3SHJeUppVQ5MBtYjZXZa1E3XKf3iQ8olkB3IV9IFwjvq0jcFtkVukggZMZSDSdT7IlaUgJiSRGEtERCaYrshnrnfgShF+iO5dBZWusGrfWjwB7AvsCN3XCd3ie+2FLr9o4L4glCLtBeAdH4bZFdoQtorQmE02f3KnaLJUUQOsQOnI8nk8B5QSggumOS8rr9QWsd0Fo3xu8rKOyA4vIRsHIunDS/TalIoLuQq8TLLbTFpLz3QNu2yK7QRUIRjalJ6+5lGIoityExKYLQHmVDLb2crKczCZwXhAIhmxXnhwK7Az6l1EGAXcmrP1a2r8IjOaDY44MfvggRCS4WchinQHjfQPjuHJhyi8iusEvYRRrTuXuBleFLsnsJQju43DBkfzjvWcvFy+WxJiiubqkcIQg5STalfRIwHRgG3Ba3fwfwq/ZOVEoVA68BRdF7ekRrfV0W7637kFR/Qj7iJLcix0IWCIRMADxu54rzYMWliCVFEDrA5W6/urwgFDjZrDi/FFiqlDolGo/SGQLAUVrrJqWUB/inUupZrfUb2bq/HiW5BoWsSgv5hsiw0EX8oY4tKUVusaQIQpcQ3Sz0IbrDbrhSKfUXoFprPUUptR9wmNb6L+lO0FproCm66Yn+091wb92PUw2K+JoTgpDriAwLu0Ag6u6VLnAexJIiCF1CdLPQx+gOqV4MPA9UR7c/BWZ2dJJSyqWUeg/YCrygtX6zG+6t+3GqQbGr9VIEoScRGRZ2AX/U3Std4DxYGb7EkiIInUR0s9DH6I5JSpXW+iHABNBah4EOl8y01hGt9YFYMS0HK6X2jz+ulLpAKbVKKbWqtjaHH8h0NSik5kSfI29kNhmR4T5LNmQ2kGngvKQgFrJA3urZriC6WehjdMckpVkpNZCou5ZS6lCgMdOTtdYNwCvA5KT9C7XW47TW4wYNyuHUqOlqUEjNiT5H3shsMiLDfZZsyGxb4Hw7MSkeg2Yp5ihkgbzVs11BdLPQx+iOScqlwJPAKKXUSuAe4OftnaCUGhStUo9SygccA3zSDffW/TjVoJCaE0I+ITIs7AKZpiBuEUuKIHQO0c1CH6M7Auc/Ah4HWoCdwBNYcSntsRtWZjAX1sTpIa31U91wb92PUw0Kyb4h5BMiw8IukFlMigTOC0KnEd0s9DG6Y5JyD1ZtlJui22cA9wKnpTtBa70GOKgb7qV3kNopQr4jMix0kbbsXu3VSXERCJuEIybudiwugiAkIbpZ6EN0xyRlH631AXHbK5RS73fDdQRBEIQcI2ZJ6cDdC6AlFKG/TFIEQRAEB7rj7fBuNFgeAKXUIcDKbriOIAiCkGPYxRw7CpwHaJHgeUEQBCEN3WFJOQQ4Ryll58kbAXyslPoAq27jmG64piAIgpADBMIZWFLcliVF0hALgiAI6eiOScrkjpsIgiAIhYhtScnI3avQLCkt9fDCb+DzFVC1Nxw/G6pG9/ZdCYIg5CVZn6Rorb/Kdp+CIAhCftAaiuBxKQyjvcB5awLTVEhV5+v/C/d8D3b8D4YfAhtXw+LJcOE/of9uvX13giAIeYdELAqCIAhZoyUQiblzpSNmSSkUd6+mrdYEpbUeJt8ME6+CSTeDfye8eH1v350gCEJeIpMUQRAEIWu0BCOxwPh0tMWkFIC7VzgIy8+GnZvg6Otg0L7W/vIRsO8JsGY5bM3P2sSCIAi9iUxSBEEQhKzRGgrHLCXpKI5l9yoAS8rzv4L1b8D4i2HQPonH9j8F3EXwxp97594EQRDyGJmkCIIgCFmjJRihqJ30wwBFngKxpLz/ILx9F3zj+7DnhNTjxQNgj8Ph309AqLXn708QBCGPkUmKIAiCkDVaAhG8HUxSit0FYEnZ/iU8fRkM2R++dW76dnsdBYEdsPbZHrs1QRCEQkAmKYIgCELWaAmGKeogcN7tMnAbKn8tKWYEHrsQtIYjLgWjne87dAyUDIR/P9Zz9ycIglAAyCRFEARByBotwUgs5qQ9fF5X/mb3em+ZFYdy8AVQNrj9tsqAYd+Gz1+2guwFQRCEjJBJiiAIgpA1mjOwpICVhrg5H4s5+nfASzfA4P0sV65MGHYwBJvhq5Xde28f05mVAAAgAElEQVSCIAgFRHdUnBcEQRD6KK0ZBM6DFZeSl5aUtxdBcx1MuBpU+oKVCew2Blxe+PR52KsmbTOtNe/Xvs/L61/mk22fsKVlCzuDO/EYHiqLKxk7ZCxT953K8H7Ds/RlBEEQcheZpAiCIAhZw3L3ytCSkm8xKcEWeP1PsPvY1HTD7eEutgLs//tK2iabmzdz1T+u4p0t7+BSLob3G87A4oFUl1VjapNtrdtY9sky7vv4Pn520M/44f4/RGU6SRIEQchDen2SopQaDtwDDAVMYKHW+vbevStBEAShswTDJmFTZ2RJKXIb+Zfd66O/Qss2+L9fdv7coWNg9RKrOn1SHMuXjV9y7nPn0hJqYdq+0zhi9yMocheldLHdv50H1z7I7atvZ3PzZn59yK9loiIIQsHS65MUIAxcprVerZTqB7yjlHpBa/1Rb9+YIAiCkDmtUctI5paUPJukrHkQyoZaVpHOstsY6++X/7CKPEZpDjVz8YqLCZkhrjn0GqrLqtN2UVFcwYwxM6gsrmT52uWM7D+Ss/Y7q/P3IgiCkAf0euC81nqT1np19PNO4GNg9969K0EQBKGz2JOOjCwp+RY4v3MzfPEajJqQeSxKPJV7gbfU6iOO21ffzleNXzFjzIx2Jyg2SilO2/s0Dhp8ELe+cyufbv+08/ciCIKQB/T6JCUepdRI4CDgzd69k/YxTU3tzgD/295C7c4Apqk7dVwQhM6zq8+VPJfdz06/NUkp8XZspM+7wPkPHwVtwqiJXTvfcMHgb8B/X43t+qLxCx5a+xAThk/g6wO/nnlXymD6N6bjc/m4duW1RMw8muzlKJnoB9EhgtCz5IK7FwBKqTLgUWCm1nqHw/ELgAsARowY0cN314ZpatZu2cmP71nFhu2tDKvwcdc549hnSD8MQ3V4XOg75IrMFgK7+lzJc5kZuyqzO/0hAEqLCjBw/v0HYOBoGLALmbV2OwDevgsa1kP5cP747h/xuryctNdJne6qn7cfZ+x7Bgs/WMjf/vs3Tv7ayV2/rzwmG3o2E/0gOkQQep6csKQopTxYE5RlWmvHsrxa64Va63Fa63GDBg3q2RuMY1tzMKakADZsb+XH96xiW3Mwo+NC3yFXZLYQ2NXnSp7LzNhVmd0RnaRkZEnxGLQGI/mxGr31E9j8QdetKDZDo3EpX63kf03/46V1L1EzvIb+Rf271N0hux3CqAGj+NO7f8If9u/aveUp2dCzmegH0SGC0PP0+iRFWalJ/gJ8rLW+rbfvpyOC4UhMSdls2N5KMBzJ6LggCJ1nV58reS57hh2tlvtWqTczSwpAaygPfoMPHrIqx+955K71U7EHFPWHL//BAx8/AMBRwzMsCOmAHZ+ypWULy9cu37V768Nkoh9EhwhCz9PrkxRgPHA2cJRS6r3ov+N7+6bS4XW7GFbhS9g3rMKHN1phuaPjgiB0nl19ruS57BlilpSiji0pdlX6nM/wZZqw5iGoPgh8FbvWlzJg8H4Ev/wHj/3nMcYOGUulr3KXutynch/2rdyXpf9eSjAiq/pdIRP9IDpEEHqeXp+kaK3/qbVWWusxWusDo/+e6e37SsfAUi93nTMupqxsv9SBpd6MjtuEwyYbG1r5alszGxtaCYfNlGtJkJ7QV0mW/QqfJ6PnKh2Oz+XZ43AZyPOVRXa02u5emVhSrNdPS65n+Fr/JjSuhz0nZqe/od9kZWArO4M7OaL6iKx0ecKoE6htreXJz5/MSn99jUz0QzodVOHzyHtaELqJnAmczxcMQ7HPkH48ftF4guEIXreLgaXehMC5IrfB707anxKvi5ZgJCUdZzhs8smWncy4751YAN6Cs8ay75B+uKNtJUhP6Kukk/2yIle7z1VHJD+XHrfiqkfX8PePtsrzlSV2+MMUuQ08ro5/G9vdqynXCzquWW5VjB9xaHb6G/pNnvuyhP5GUacyerXHfpX7MbL/SP7ywV84+Wsn4zbk1d5ZMtEPyTqorMjFZ7VN8p4WhG6i1y0p+UL8yu721gDhiFVZORQxYysnoVCETY2tFHkMRg8po3+xh2DE5A/PfpwQXLe1KRCboIDl1zrjvnfY2hSItZEgPaGQSLaMhMNm2u3NO/zMeWFtiuxvbgwQjFgWx2DEZPlbX7F5hz+jFcxtzUH+8OzHCefPeu4TThk7POEa8nztGjtaQxlZUQB8+TBJCQfh349bExSPr+P2GdDav5oVJSUcSUnWJhNKKU4YdQIbmjbwwlcvZKXPvsS25iD//t92Rg8pY+iAYkYPKePjjQ0p+iFZB21uDKS8p+e8sDZjvSQIQvvIcksGxK/sDior4orJ+3D5I2sSrCCjq0r5tK6ZP770KecevidXPtp2/JZTxmCabe5coYjpGIAXjrS1kSA9oVBItowct99gLj567xRL4ryXPo2tWt5yyhhqdwZ5d30DAIPKiij2GPzuqY9iffzsqNGcfufrGa1gmqbp+Fz2L25TgfJ87To7/CFKM4hHgTaXMLu2Sk7ynxfA3wCjarLW5T+2f0SroTh+e23W+gQ4aPBBVJdWc9eau5g8cjKqKwUn+ygel2bkoP78YOEbMf1wx1ljGVjaJsvJOmhYhY87pn2LQWVFsXf1QcPLOffwPTPWS4IgtI9YUjIg3qoxY+JesQkKtFlB6lqC/OS+dzhl7PDYQMg+fuWja4jELaZ4XIZjAJ47zkVCgvSEQiHZKnjK2OGOlsT4VcsrH13DjIl7xfq4+OjR/GTZ6oQ+Lorb7sgSEtE4Ppe2yxHI85UNtjdnbkmxJzN2HEtOsmY5FJfDbgdmrctnt66iQrk5vH4j3qatWevXUAZT9pzCZw2f8dqG1zo+QYjRHDD5SZJO+sl976B128QiWQdt2N7KT5at5uKjR8fazJi4V4qeEQutIHQdsaS0g2lqtjUHaQmGY0qn3OdJsHAcNLycGRP3ImxqNmxvTTkOlqIKRUy27rDy2Jta88CPD2Vzox9Ta1qCEYZX+hhcVhQ7xw7kS/Z1zTRQWBByhWSrYLnPw6CyIn7znf0o93loaA2x4JXPKfd5Ym02bG+NyfqwCh8jq0o4fNRAfnzkKFyGwlCqQ0tjKBRha1OAsKlxGSphxdNu3xItJuj0fNnPf7rYs2Q6274Q2brTz8A4PdYevpglJUcnKS31sPY52Ps4q1p8FmgO+3mt/kMmlo3ExX/pt3EN2/Y+Jit9g1U35a+f/5WFaxZy5LAjxZqShnDYZGtTgFDExOMyCJvaUSeFTc3yCw6lJRhhz0Gljm32rCplWIUvprPEA0IQsodMUtIQ76Lym+/sF1NCDa2h2OeDhpfzy0n7cOWja2Jt4o/bDKvwUd8cwB8yE9zEZp86hlnPraW2KcCCs8am3ENHAfiCkA/YVkH7mTC1TnGZnH3qGEzdZm4cVuGjutzHyitr8LpdGEpz1mF7cN6St9mwvZXF07/t+Jx5os9IKBThk61NsdXR+OfNdiEbVuFjcL+i2DXiJxWdTVwhiS4sancG2GtQWUZtbYvLjlx19/rgYYgE4GvHZq3LFdvWENRhxg46kLDnDfptfD+rkxS34WbKyCnc+/G9rNqyim8P/XbW+i4UnBLXPDLjMEed5PO4mLrwDYZV+Hg4TZt+xa5YIh2llKNeEgutIHQNmaTgvAK6rTnIE6vXs3j6t3G7FPf98BBueuYjFrzyOX8+8yDqm0MMr/RR1xRk9qljKCty85dzx7G9JcTS8w9m3bYW5r30GbVNAWafOoYBPi8/f+CtBDPw5Y9Yk5sFr3xO7c4A/YrdlHjdseufc/dbKcru8YvGM6hfZiuVgtBbxD9TPq+Le847mK/qWyjxuhjUr4g/PPtxwrOweOUXXDXl67FVy68NLsXtUoTC1sQlHNEJ7l3zXvqM2aeOSRgwzDn9ALSp+WpbM25DpbhvXP7IGn530v6ct+Tt2ACjyGNQWZr6PDklrpjzwlquP3F/tNYpk5p0iS760vPqD0XY4Q9TXpKZtddtGBS5jdy0pGgN7yyBqtFQOSpr3T5bu4pKTxl7le7OzoGj6Lfxvaz1bXPE7kfw5OdPcteau2SS4sDWpgDzXvo0wSISMTWLV36RsG/xyi+4/rvfYPkFh0bbmCmu3pc/soaHLjyM6vJiwNJ74gEhCNmjz09S0q2ADunv5YQDdo+t3NrBvYP7e6ndEeQ3f/0wYTXl3te/4rRxw/jlw+8nBNU1BcLMem4tt55+gKMZeHC/opg1Jv76lSXObmNiNhZyneRn6sL/G8l3DxyW8MzEB8bbwab2pDwWWH/XmwnPXry71rvrG5j13Foe+PGhbGyw3Ck9boNTFlgBq4/MOMzx+Rk1qDQ26Jj13Fr+dOZBUJr6HZJd1DoKiJVEF5YVBaC8xNNByzZKvK7cDJz/32rY+hEc9rOsddkYauFf2z/m6IEHYCjFzqq9qPjwQzxNtYTKBmXtOh6Xh+NGHsfDnz7Mh3Ufsn/V/lnruxBQ6JQkGg9deKhjYo2dgXDMkpKsg6DNldsmkxIFgiBkTp/3H0q3AtoaNFMCc2fc9w6hsOZChxXaHx85ikseej8lqG6HP0xtU4CIqR0D4cuK3I6BdhGNBM4LeUnyM3XquBEpgfLxgfHJwabpAuvjA1QBapsCaGDqwjdoDkb42f3vxs7Z1hx0fH6CYZOpC9/gwnvfobYpkPZ5Sk5c0VFArCS6sH4PICG2qCNKvO5YlfqcYtVfrNooI4/MWpcvb3uPsI5wcPneAOwcaMl//26wpkwcPpFSdymLPliU9b7zHdMhiYbTvisfXYPP645tO+mgYRU+3EkTEMNQDOpXxO4VJQzqVyQTFEHYBfr8JCUYjnD4qIG8cMmRvHzZBF6+bAJ/POPAWCB8PBu2t6bd7zKcA3kHlnqZfeoY7nrtv8w+dUxCtdrZp47BH4owqKyIO88ey/ILDuXOs63VGq31LlXYFoT2SK5bks1c/slWhfaeDSAl2DRd8omRVSUJz8Pi6eNwKXj5sgnst1t/BsUFbC945XNuOSXxebvjrLE8smpdbPuuc9JXnE+uQN1RQKxjxeo+9rxuabQSg1R04jvnpCWlYb2V1etrx4K3JGvdPrf1HQZ7BzDSNwSAlgHVhIrKGLB+VdauYeNz+zh6j6N5ad1LfFD7Qdb7z2ciDu/wcJqyAJG40gGWDipN0SmDM0wUIQhC5+nz7l6lRa6EgFx78rC+vsUxAM5lOAfG6ejf5P2D+hWxsaGVU8YOw9Sa/3faAVSXF6NQbG70U1HicQ7Y87rYbYBPzMZC1unuIO/kQHlwfjaqBxTz6uUT8SQ9U+mSTzS2hFg8/du4DIXHpWhoDXPekjcSnhs7MP7d9Q0s/dcXLL/gUMKmxm0oBpV6GXrk1zjn8D3xuA2a/GFO/NNKx/+DZLeNjgJixc0DvtjWDMCQfsUZn+PzumjMtRTE/5xj/d3/+1nrsj64kzcb1jJ50Ni2jFvKoHHQPgxY/zaYkaxlELOZNHISr65/ldlvz2bplKWS6SuKO1oCIHFS4vx8hyOJyTyK3QZLzjsYQ1kWmSK3wuXq82u9gtBt9Pmnq8XBrevyR9bgMlTKSuz8ad/iX5/VMn/at1IsIk3+kKOlxFBw+SNrmLrwDS5/ZA0DfB7KityccdcbnHbn63y5rcUxGC9s6gSzsR1ML1VshV0lnYtjtnL5J1sVmgJhx2ejyGOwx8BS3C4j4fij76xPecbuOnscZcVuzlvyNkfd+iqBsHYMjLfdMYZV+Lj46L0Z0q+YPQaWsntFCV6vO/Y8KVRCYgr7/yC+UjQQaz+0f3GHlpK+7ubxZV0zFSWeWGrhTOhf7GFbUw7VkNjykRUwP3oSlGYvTuTvdauJYMZcvWwah3wdj38HpbWfZu1aNj63j++N/h7v1r7L8189n/X+85XBZUUsOGtswrNcWuRK0TnJltfZp44hbJocc9urHHXrqxxz26uccdebUgNFELqRPm9JSVf93VCKWc99wm++sx/7Du1HMGxy12v/5aF3Nvx/9s47Po7i7v+f2SvSSbJVLMlNtrGNbMeAsbGoJmDTS8AUh4eeQOhPMNj8yPMkD8FxIAkldAKmJPQSQjM9NNsQ01wwBtyEbcBdklWsfre38/tjb097q93b3bvbu7277/v10ku3u7Ozo9vvzGluZt6Ls6bW4LFfHgi/V4DfI8AjMHSHwvjDa6ti7CC3vbMe954zGS9feRhCYSn67eqOtu7oNX0eQff6IbFvmJn0pkQqcXqRt3ZUIcw55i38tl/duP/cKQBkK9Rt76yPOf70pz/g+csOAQOi9UaSOF64/FCIYQk8Umbt3zCmqhgfXT8dXo+A6pICeA203UbvwfbWbsxa8KnpyEo+jpSYsX5nO4aWBswTqigr8qGxoxdiWMK6ne3YZ9jAzH3jHxaBN+bIU7wmn5fSrF/f9TlqCisxIhDb8WmrHg/OGEp//AKdg3+S0msCsunrwx8/xB3L7sDhww5Hid+aHjqX8XoFTBg8INqWeD0CuoJhPP3pD9GR2rDE8c7XO3D2QaNw1E+GRNusO87aPyavfJNjEES6yftOik9n6Fd53smXW1px0xtr8MLlh+K8Rz+PpnlhxVZ8sml3jF50e2s3Gjt6cflTK2Ly8QgCqgfGTn9QT4cxmtqiXnBLelMilRhNx0rlIm9lVAGQrU96dUO5nkdgusevQS2GlxfF5DmsTP4neHtrt/5zUjxCNE08jN4D5VtRvTqm/puIWIKihDU79uD4fYbYOq8s4EdQlPDXdzdgwZKNuH3WJPy8boRDpTTho9uBLZ8Bh88FCgemLNvvu3Zhdfv3OGvoT/sdC/uL0Vk+CqU/foHtB/4iZddUEJiACyZegL98/hfc8sUtuPnwm1N+jWzE641tJ7a1dOGTTbvxwoqt0X015QGMGzow2i7VlAegncCQb3IMgkg3eTvdS1k47PcwPKgZ+r191iQsWLwx+m1qdUmB6VQPD0O/6WG3njkJHp0vBdXTYRYs3thvKow2b9KbEqkk3Yu8za7n1ZlaeeuZk/pZc9ToTdlYYGMRq16Zbj1TrvcKVMess/LHFoTCHLXVA2ydp+iKH/5Ift/fW7Mr5WWzxHfvAx/dBow9Ghh7VEqzfr3hCwhgOLhsvO7x1uqfoKRxPXwdjSm9rsLYsrE4acxJWLhxIV7a8JIj18g2tOKQQp/Q7/+AB8+fipdWbIluLzh/Kgq8LK/lGASRblwxksIY+weAnwFo4Jw7LnXXe47D85cdAkni8HkE+H0M9587JWZKh9lUD0EQ8MQnsQ+DeuKTzfjT6ZP6XV+bX8DvwctXHYaQKOnmnY5vvon8IRNTlwq8Am6auS+K/B50BcMoUE3DslN3FPSmbMSb3qVFb2H8H177Jvo0eoDqmB1e+2o7fB6G/YaX2jpvcGSUWfmG+uttbakumjlblgH/PB8o3ws4+IqUZi1xCW/s+hw/KRmJcp/+VKvm4fujZt3bqNi4BLv2n5XS6yvMHDsTm9s246bPbkJVURWOqEmdWjnb0Js+/fxlh2DF5iY8e+kh4JyDMYbvG/dg3in74IaTJ0bbF0FgNOWTINKIKzopAB4HcD+AJ9NxMe30qYc+/h5vfrMrdvpUsf6T6I0apEHFfsw5drzlJ83amTqifOtLT7ElUkU6py7t7gzGLFIH5A6AUt/s1h0F7ZQN5dtRq/9AqN8DSeKYc+x4rNnRTnXMJk0dvXhpxVYcvneVrUXzALDXoL7pfMdNHIx31+xCW1cIpTYeCJkUDWuBZ2YBgXLgmPmAz96aGjOWt9Vje28zTq42fvJ7b0k1OktrUPHdIsc6KR7Bgyv3vxK3L78dsz+cjfmHzcfMvWc6ci23ozd9+qlPNuOUyTU495E+W+CC86di8IDCfl980JRPgkgfruikcM4/Yoztla7rWZk+ZXexupPfTtOiXSKbMatvqYjvZOUSVMcS5+//2YygKOFnk4baPtfrEXDBIaPQHQpj1KAivLtmFzY2deCAkeUOlFRDyw/AU6fJ6t9j/ih3VFLMM9sWo8QTwNTS2rjpmodPxog1b6CgbTt6S4elvBwAUOQrwvV11+P+VffjhqU34JPtn+D6A69HZaDSkeu5Fb326IvvW/HzA0fGjPYW+T1U/wkiw+TlmhQrT4dORNPqpII03/WmRPZipb4lG9+p0CpTHbNPWOJ45vMfcNDoCkvCAj1O2m8ozjygBsMiZrBNjZ2pLKI+7TuBp2YCvR3yCMoAewv+rbC1uwmLd6/GkYP2hV+I/31g83DZdFfx3aKUl0NNka8I1029DjPHzsS737+Lk18+GY9+/SiC4fzR6Oq1R7OPrsUvH1uGix5fhv96+DNc9PgyXPiPL0gvTBAZJms6KYyxyxhjyxljyxsbk1tgaGXhMC1WJ5IllTGbzaRjoT7V19RgN2a/3d6GPd0iDtyrIulrVw8sgEdg2NTYkXReceloBJ44BdizAzh6nrwWxQGe3PYBGBhmVBivrVIIFpVjT+XeqFr7lvxgRwfxCB7M3Hsmbpp2E8aVj8M9K+/BaQtPw8dbP3b0uk5hN2b12qPRlcXUfhCEC3HFdC8rcM4fBvAwANTV1SX1JEMrUztosTqRLKmM2WwmHVOpqL6mBrsx++nG3QCAicOSV/Z6BQFDBhZio5OdlK5meQSl9Qfg6D8A1al/NgkAbO/ZjX/t+A8Or5iICr8141nD6GnYe9kTKP3xC7Ttdagj5VIzuHgwZh8wG980fYNn1z2Lqz64CkePPBo3HnojKgqT73SmC7sxq9cecXBqPwjChWTNSEqqMZvakW5NK0HkMk5PpaL6mhk+2bgbw8oKUV6Umvd5aGmhc9O9uluAp04HmuqBGTcAQ/Zz5joA/vb9G2AATqk+2PI5rUP2RbCwDENWv+hYufTYt3Jf/PGwP2JW7Sws2boEZ752Jj7f8Xlay5ButO1RZbH5YwYIgkg/rhhJYYw9B2A6gErG2FYA8zjnf89kmWghLUFkD1Rf008oLGHZ9804bGzqFl4PLS3EV1tbo1rplLFnO/D0GUDTd8D03wLDpqQubw2ftazDaw2f46SqOsujKADABQ927D0do755FQO2rUL78MmOlVGLV/DipDEnYd/KffHQ6odw2XuX4eopV+PifS+GwHL/u0xqPwjCnbii9eGcn8M5H8o593HOazLdQVGghbQEkT1QfU0vX29rQ1cwjH1SMNVLYVhZAKEw77c+ICka1gJ/Pw5o+R445g/AiINSl7eGtlAX/rDhGQzxl+PUwYfYPr9xr0MRLCxFzWePOL42RY+RA0fi94f8HnWD63DPyntw7aJr0R5sT3s5MgG1HwThPlzRSSEIgiCyi+h6lKGp7aQAwKamFK1LWf0v4JEZQLADOP4vwND9U5OvDiEpjOvWPoJdwVZcPOJYU6OXHtzjw5aJP0NJ43pUf/uaA6U0p9BbiMsnXY5zJpyDj7Z+hLPfOBsbWjZkpCwEQeQ31EkhCIIgbLP0uyaMrCjCwEDqHrw4tFR+Av3GhiTXpXQ1A69eBbx8CVAxBvjZ3cCgvVNQQn26w0Fc8+0CfN66HhcOPwp7Fyf+rJPmmgPQWj0BIz57GMW71qawlNZhjOHYUcfi+gOvR3uwHee9eR7e3PRmRspCEET+Qp0UgiAIwhZt3SF8sbkZk0eUpTTfAYU+lAZ8WLczwSlGYRFY+RTwtwOBr54H9vs5cNyfgKJBKS2nmq/2bMZ/rfwLlraswYXDj8bhFfsklyFj2HzAuQgWDETt2/+H4l3rUlPQBBhXPg43HnojRg0chf/9+H9x/ZLrsaV9S8bKQxBEfuGKhfMEQRBE9vDm6h0QJY66Ual/SvvEYQOxeH0DgqIEv9fi92itPwLfvASseFxee1I1HjjqRnkUxQHaQp34rHU9Xt35Cf7TsgblvhLMGX0a9hkwKiX5iwUl2HDoZRj36cOYsPBa7JhyNhr2PR1ioDQl+duhtKAU19Vdhzc2vYF3Nr+D9398H8eMPAanjj0VdUPqEPAm9hBPgiAIM6iTQhAEQViCc44/v7UW/1y2BbXVJdi7uiTl1ziytgqfbtyNOf9chT+fvh9KiyLTydp3Ad++DIS65Z+eVqDlB3lhfNuPcprqfYCjfg/UHASwxBc+r+/YiuVt9eiVQuiVRISkEFrFTuzsbcHW7iZs7t4FACj1FuP0wYfhmMr9EfAUJPunx9BbUoW1R1yDkd+8iuErnsawlc+iq3JvdFWMRqioAuGCEoQC5dg9/riUXlcPr+DFaXufhiNrjsTbm9/Gf7b9B+98/w48zIPa8loMLxmOwUWDMbBgIAo8BfALfgwuHozj9zre8bIRBJG7MM6z7xlzjLFGAD9YTF4JoMnB4riBfPgbgfT8nU2c8xNSnanNmE2UbIgDKmNqUJcxm2PWCDffAzeXDciO8q3LQMy6/X2JRzaXHcju8itld6SdJeKTlZ0UOzDGlnPO6zJdDifJh78RyJ+/M1Gy4f2hMqaGbChjMrj573Nz2QAqn9uumwqyuexAdpc/m8ueC9DCeYIgCIIgCIIgXAV1UgiCIAiCIAiCcBX50El5ONMFSAP58DcC+fN3Jko2vD9UxtSQDWVMBjf/fW4uG0Dlc9t1U0E2lx3I7vJnc9mznpxfk0IQBEEQBEEQRHaRDyMpBEEQBEEQBEFkEdRJIQiCIAiCIAjCVVAnhSAIgiAIgiAIV0GdFIIgCIIgCIIgXEVWdlJOOOEEDoB+6MeJH0egmKUfB38cgWKWfhz8cQSKWfpx8IfIAFnZSWlqasp0EQjCFhSzRLZBMUtkGxSzBJFbZGUnhSAIgiAIgiCI3IU6KQRBEARBEARBuArqpBAEQRAEQRAE4Sqok0IQBEEQBEEQhKugTgpBEARBEARBEK7C0U4KY2wEY2wRY2wtY+xbxtg1OmmmM8baGGOrIj83OlkmgiAIgiAINWGJY8GSjWjpDGa6KARBRPA6nL8I4DrO+UrG2O5uQ00AACAASURBVAAAKxhj73HO12jSfcw5/5nDZclLJC6huacZwXAQfo8fFYUVEJhx39Ru+mTPIwg9RElEU3cTQuEQfB4fKgOV8ArxmyuKQSIfMIpzZb8kSZAgQeIS1QMbfLShEbe8vQ7fN3XiljMnZbo4BEHA4U4K53wHgB2R1+2MsbUAhgPQdlIIB5C4hPqWesz+cDa2d27HsOJhuPeoe1FbXqv7oWU3fbLnEYQeoiRiQ8sGzFk0JxpPd824C+PKxxl2VCgGiXzAKM7Hlo3FxtaN+NuXf8O5E8/FvKXzqB7YZEdbDwCgvVfMcEkIglBIW6vFGNsLwBQAn+scPpQx9hVj7G3G2D7pKlOu09zTHP0wA4Dtndsx+8PZaO5pTkn6ZM8jCD2aupuiHRRAjqc5i+agqdv4QW0Ug0Q+YBTnTd1NmP3hbMysnRntoKiPUz0wpzPSOekNSRkuCUEQCmnppDDGSgC8BOBazvkezeGVAEZxzvcHcB+AVw3yuIwxtpwxtryxsdHZAucIwXAw+mGlsL1zO4Jh/Tm3dtMne16uQzGbGKFwSDeeQlLI8ByKwdRAMetujOI8JMl1ptRfmnf1IFUx2xUMAwA456kqGkEQSeJ4J4Ux5oPcQXmGc/6y9jjnfA/nvCPy+i0APsZYpU66hznndZzzuqqqKqeLnRP4PX4MKx4Ws29Y8TD4Pf6UpE/2vFyHYjYxfB6fbjz5BJ/hORSDqYFi1t0YxblPkOtMW7At7+pBqmK2KySPpPSI4VQVjSCIJHHa7sUA/B3AWs75nQZphkTSgTF2UKRMu50sV75QUViBe4+6N/qhpcxPriisSEn6ZM8jCD0qA5W4a8ZdMfF014y7UBno991FFIpBIh8wivPKQCXuPepeLKxfiPnT5lM9SICeyEhKRw+tSSEIt8CcHNpkjB0O4GMAXwNQJnr+DsBIAOCcL2CM/RrAlZBNYN0A5nLOP4mXb11dHV++fLlj5XYjiZqL7FqSoumlEHyCNatSMuVzIcyJTHM9ZlNtkdOLQ4EJcc/JoRi0C8VsFmM1bpU6oXxmc/Bstnu5Lmav/9dX+NeKrRhbVYwPrpue2oIRuYAjMUvEx2m7139gcmM55/cDuN/JcmQ7yVi3NrZutGX3spNejcCEuN90E7mLExY5r+DFkOIhts6hGCSyDat1J57xjuI/NXSF5JEUZW0KQRCZx3VfrxD9SZd1iwxJRCKkI84oNolcxGpcJ2K8I+zRHemc9Ipk9yIIt0CdlCwgXdYtMiQRiZCOOKPYJHIRq3GdiPGOsEdfJ4VGUgjCLVAnJQtIl3WLDElEIqQjzig2iVzEalwnYrwj7NEVlBfMB2kkhSBcA3VSsoB0WbfIkEQkQjrijGKTyEWsxnUixjvCHspalFCY07NSCMIlOGr3cop8tM7YMRfFpBX8EAQBPWJP7GuDPBSDjCiJ8DAPPMyDiCEaPWKPJUOYHezax9KA66wzbsAs/izbuiL3uaKgAs29zdHt8oJyNPc0Q5REeAUvKgOV8HlivyV2Yay4BYrZLEbP2iUwAT7mQ4iHopauUn8pdvfsRkgKwcu88At+cMZRVlCG1t7WaN3Tbtu1e6XJkue6mJ12y4fY1toNAFh/8wko8HpSWTQi+yG7VwagT/gswaq5xcgWM7ZsrKm5S8/uNX/afDy75llcMPEC3L3ybjR1N0WtMsn+gxjPWEP/fLqHZM1aRvd5waoFWLR1EWbUzMAVk6/od7y2rDbaUUnGPEcQbkWJ6799+TecO/FczFs6D9s7t2NGzQxcvv/lmLt4btx23KjuKHXLbj1J1CSZC/SE+tai9IoSdVIIwgXkdquThxjZYpq6m0wtMnrnzls6DzNrZ+KGpTfg4v0uTqlVhow12UGyZi2j+zyzdiYAYGbtTNM4ILsXkYsocT2zdma0gwLIdULpoADG7bhR3VHqlt16ks/1rEcMw+eRvyyndSkE4Q6ok5JjGNliQpK+HUZtkTE6t9RfGv2tzi9ZyFiTHSRr1jK6z0o8KfGlPS5KfU9+JrsXkYsoca2tA0Z1QtuOG6VT6paybbWe5HM9C4kchT559IQ6KQThDqiTkmMY2WJ8gr4dRm2RMTq3LdgW/a3OL1nIWJMdJGvWMrrPSjwp8aU9rp7yR3YvIhdR4lpbB4zqhLYdN0qn1C1l22o9ydd6xjlHMCwhQJ0UgnAV1EnJMYxsMZWBSlOLjN6586fNx8L6hbh52s34x9f/SKlVhow12UGyZi2j+7ywfiEAYGH9QtM4ILsXkYsocb2wfiHmT5sfje+F9Qtx5/Q7Tdtxo7qj1C279SRf65koydICpZNCD3QkCHdAdq8cxMjOEmNHEnwo9BaiS+yKSaM+V2ACBAh9dq9wD3xCaq1KoXAoahMzsjqlGddZZ9xAsnYv7X0eVDgIe0J7oukH+gZid8/uuHGQrHUoTdaiTEAxm8UocSlJEiRIkLika/dSW7uUtlmCFDedlTjX1otk7WAWcVXMdgVFTLzx3xg/eADW72rH678+HPvVlJqfSOQTZPfKAKRQykH0TEt6dqSbp90cNXapDS7pGsmQuIRNbZvy0iSTbcSLCzMjkNX7PLRkaMJlMCOfrUWEu7ES13rxG8/iZbWeUL2QCYmRkRR/ZLpXmJ46TxBuIH9aoTxHz9qiNnZlwuCSzyaZXMLsPrrhPruhDASRKHrxm4zFK16++VgvgmF5ehdN9yIId0GdlDwhnrlLeZ1ug0s+m2RyCbP76Ib77IYyEESimLXfyrbdeKZ6IRNSOil+6qQQhJugTkqeEM/cpbxOt8ElX00yuYbZfXTDfXZDGQgiUczab2XbbjxTvZBROimkICYId0GdlDxBz9qiNnZlwuCSryaZXMPsPrrhPruhDASRKHrxm4zFK16++VgvoiMpPvlfIuqkEIQ7ILtXHhG1e0kh+Jh1u5fX44UkSQhKQcO0di0wekYblxiXXGWdyRZiYkvHABcUgzH2rorCCrSH2hO2hSUC2b3skesx63a0bXGBUICecA9ELsLLvPALfoR4KGr5EiBAEATLcZ3hNthVMbtm+x6cdO/HOP/gUXj68x/w15/vj1lTaxwoIZHFkN0rA5DdK0/Qs3tpLS56ppfbj7wdoiTitx//Nua8sWVjTfOLVxYyyuQOZrEVCofwXdt3mLNoDrZ3bseMmhm4YvIV0W09G5gT8ZFOcx1BJINeHbhz+p146KuHojav+dPm49k1z+KKyVcYWr7s5J/PbXB0upefRlIIwk3kX2uUp1ixuOilaetti3ZQ1Oc1dTclbIUho0xuYXY/m7qboh0SAJhZOzNm2402MILIJHp1YO7iuTE2r3lL50Xrkl3LF9WxWEIau1dQJAUxQbgB6qTkCVYsLnppAt6A7nkhKZSwFYaMMrmF2f0UJTHmeKm/1PU2MILIJFZtXkpdsmv5ojoWizJyUuiVOymhcPZNgyeIXIQ6KXmCFYuLXppusVv3PJ/gS9gKQ0aZ3MLsfnoFb8zxtmCb621gBJFJrNq8lLpk1/JFdSyWYNTuJcRsEwSRWRztpDDGRjDGFjHG1jLGvmWMXaOThjHG7mWMfccYW80YO8DJMuUrViwuemlKC0rxl5/+pd95lYHKhK0wZJTJLczuZ2WgEnfNuCt6fGH9wphtN9rACCKT6NWBO6ffGWPzmj9tfrQu2bV8UR2LRRk5KfApIynUSSEIN+Co3YsxNhTAUM75SsbYAAArAJzGOV+jSnMSgKsBnATgYAD3cM4PjpdvLltnYgxEgh+CIKBH7EmJdUWdd6GnEEEpiFA4BJ+nz8bkFrtXBk1MrrLOZAq7738oHEJTd1PU3lUZqITP44seN7N7lRWUobW31XCb7F5xoZjNIvTaWAkSfMyHEA9F20J1HRCYEHNcOU8QBMt1RRv/ynlk9wLe+noHrnpmJW47cxJ++8rXuOLIMbj++AkOlJDIYsjulQEctXtxzncA2BF53c4YWwtgOIA1qmQzATzJ5d7SZ4yxMsbY0Mi5eYWeceXmaTfj7pV3o6m7KWn7imI3EiURG1o2xNiV7ppxF8aVj4v+g2knv0TLUlFYoWuYScYcRiSPXfOPKImob603jCeJS9i8Z7NhfukwDZHNiHADenE4f9p8LN2yFCeMOQFzF89NKD7N2mGj+Ke2VkYZOfF6GLwCozUpBOES0tYKMcb2AjAFwOeaQ8MBbFFtb43syzv0jCs3LL0BF+93cUrtK1rb0vbO7ZizaA6aupuSztsORoaZZMxhRPLYNf+YxZNZfukwDZHNiHADenE4b+k8nDbutGgHRdmfyviktjY+ysJ5ryDA62GkICYIl5Ce+TOMlQB4CcC1nPM92sM6p/T7GoMxdhljbDljbHljY6MTxcw4ZkaXVNlXQmF9M1dICiWdtx2M/l6j8mWbeSZbY9au+ccsnszyS4dpiGxG1sjWmM0WjOLQwzyOxqdhW5uEpdEtpCJmlZETeSRFoDUpBOESnJ94ypgPcgflGc75yzpJtgIYodquAbBdm4hz/jDnvI5zXldVVeVMYTOMmdElVfYVn0ffzOUTfAZnOIPR32tUvmwzz2RrzNo1/5jFk1l+6TANkc3IGtkas9mCURyGedjR+DRsa5OwNLqFVMRsdLqXIE/3opEUgnAHTtu9GIC/A1jLOb/TINlrAC6MWL4OAdCWj+tRAH3jys3TbsY/vv4HZtTMwKPHPYoesQc7O3dClERLeUpcQlN3E7Z3bEdTVxOae5ohQMDdM+6Ouc5dM+5y5GncMdfvboLE+xp/I8NMMuYwInkqCiuw4NgFeODoB/DY8Y/hgaMfwIJjF8S8/6FwCDs6dmDLHnmm5qPHPRqT/oFjHojGk5lJKB2mIbIZEW5AHYeTKifhgaMfwEPHPYRCT2G/NvnuGXdH12zZQa/NpbY2Pn2dFHm6F42kEIQ7cNrudTiAjwF8DUCp9b8DMBIAOOcLIh2Z+wGcAKALwEWc87h6jly2zujZvcSwiN09u3Htomt1FybHy8toIf6gwkG4/sDrwRiLLpaPl1eif4vZYmUj4xLZvTKH2X0LhUO6C+UXrFqARVsX2brP6ms6fb/J7mWPbIrZbELiElp7W7Grc1dMm377kbejN9yL6qJqNHQ14O4V9oUp8eouADe1ta6K2QcWf4fb3lmPJy46CP/36tfYv6YMfzuPnoZAxEB2rwzgaEvEOf8P55xxzidxzidHft7inC/gnC+IpOGc8//mnI/lnO9n1kHJdRRj1rCSYagsqkRFYQUkSNEPM8D6Qvd4C/EXbV2ES969BIXeQgwpHpLyDorR9bWLMmP+3kBl9MPRaD/hPGb3zWih/MzambrpAfP7mY77TTFFuAGlY6Bt069fcj32BPfgsncvw57gHqxuWm17IXu8ukttrTEhUb0mhdHDHAnCJeRfa5SFJLrQPV0L8e1eP5sWZeYjZvdNlMS4caVNTxBELPHa5mTqErW5iREKSxAYIDAGj0DTvQjCLVAnJQtIdKF7uhbi271+Ni3KzEfM7ptX8MaNK216giBiidc2J1OXqM1NjJAkwSvI/w6R3Ysg3AN1UrKAykAl7ppxl+2F7vEW4qdjgSQtVs5OzO6bUTwurF+om54giFj06tj8afOxsH5hUnWJ2tzECIkcXo+85MDrYdHpXwRBZBZHF847RT4u6BQlEU3dTQhJIRQKhQAPIySFIAheCMwDgQkQBAE9Yk90wX2P2INCTyF6w70QJRFewQuv4EWP2AOfxwe/4EdPuCcliyj1Fvz3iD0o9BZCkiQEpaxZrOyqBZ2ZQh1vPsHXT6wQFIPY3bM7GlflheVo7W2Npq8oqEBzbzNC4RB8Hh/KCsrQ0tMSTV9RWIH2UHs0zsp8pWjtaUJQEuEXvKgIVEHwpH6dVI5CMZsFiGIITT1NECURnkhbLEoiPMyDMA9D5CK8zItBhYOwJ7QnWjdK/aXY3bMboXAIXsELv+AHZxxlBWVo7W3tq0ORbUmSIEGCxKWY/S4TRrgqZm9c+A1e+XIbHr6gDn95ey0ExvDqf09zoIREFkML5zMA/ReQJXgFL4YUD4EUFlHfsgGzF/eZleZPm49n1zyLCyZegLtXykYYxeKlvH594+s4ZewpuGHpDf1MX4pBZmzZWGxs3RjXxqVHPIuYXTsNkXkkLsWNA4lL2Lxnc/T4jJoZuGLyFYa2r9sPvx0jy0b2O/72xrfx+NrH9e1g0+9Cbfk46qgQOYEohrChLdaIN3/afCzdshQnjj0xZr+6romSiA0tG2KO3zn9TqzatQpThkyJ7terg8m06flGKCzBK0RGUgQBPaFwhktEEARA072yjubuxmgHBZAXRc5bOg8za2dGzV1qi5fy+hf7/iLaQVHOU6eZ/eFsNHU3mdq4dMsUxyJm105DZB4zu5f2+MzamXFtX5MGT9I9ftq403TTb+/cjtmL56C5m554TuQGTT39jXjzls7DaeNO67ffzKQ3d/FcHDnyyJj9enUwmTY93wiFOTyCaroXrUkhCFdAnZQsIxjHrKQ1d6lfe5jH1PQVkvQtYmZmmExbxIjUYmYI0h5XYk+bXrn/YSmse9zDPLrpo9ez+MBSgnA7IYN226hdVuqakdlR4pKlOphom55viGEJXo/875CPFMQE4Rqok5Jl+OOYlbTmLvXrMA+bmr58gr5FzMwMk2mLGJFazAxB2uNK7GnTK/ffI3h0j4d5WDd99HoOPLuHIDKBz6DdNmqXlbpmZHYUmGCpDibapucboTDvm+7lERASqZNCEG6AOilZRkWgCvdOjzUrKVYYtblL+/qJb57AzdNujmv6qgxUJmSGybRFjEgtZoYg7XHFSGRk+1q9a7Xu8Vc3vKqbXlmTUhGoSt8fTRAOUlnY34g3f9p8vLrh1X77zUx6d06/E0t+XBKzX68OJtOm5xuxa1IYQuHsEwoRRC5Cdq8kSdSGldQ1wyKauxsRlERTu5fyLJWesGz6AoCQFIpJE2P3UuVtx7JkZPdykU3GKq6yzmQKM7uXNu61BqGokShyfn+7VznaQx1k90oNFLMuwugzIWr34iI8zAvGGMA5BjE/2ngQQXDd9lJdF73M3O6lvW4mPqMs4KqYveixL/BjcxduPm0/PLZ0Mz7f3Iyv5h3nQAmJLIbsXhnA8n8BjLEzANwKoBryzWIAOOd8oENlcz16Vqt0mFMEjxeVJUNTn7EkQWhch8rnzwFafwTKRgJnPwdUTwSE+H+PwATT57YQ2YGZ3QvQv9/a7SHFQyIZSkDDGgzVxFWBJq4ciWmCSCPxPhO8Xh+GKDEeqROI1IlKdVur+exQzI56mNVBgNpmK4iSeuE8PcyRINyCnf+kbwNwKue8lHM+kHM+IJ87KIC5BSnr6GqMfmgCkH8/f468n8gbUh7XFFdEnmC57lCdcBVBUerrpAhk9yIIt2Cnk7KLc77WsZJkIWYWpKxDDPZ9aCq0/ijvJ/KGlMc1xRWRJ1iuO1QnXIU8kiL/OyQriDmycSo8QeQapp0UxtgZkaleyxlj/2SMnaPsi+zPW8wsSFmH1y9PxVFTNlLeT+QNKY9riisiT7Bcd6hOuIqg2Ldw3hfprNDieYLIPFZGUk6J/AwE0AXgONW+nzlXNPdjZkHKOoqq5HnRyoenMk+6iCxL+UTK45riisgTLNcdqhOuQpRUdi+P/JumfBFE5jFdOM85vwgAGGPTOOdL1ccYY9OcKlg2IDABteW1eObkZzJjTgmLQMdOIBwCPD6gZAigNSJJkjzPWQzK39IVVRkvghcEeeHmJe9bS6++jDsNMkQCWIprm3ElVU1A8yXvxtq74sWVXv6A9WsSRAYQmIDa0rF45oTH+2K9sBJCp07cKm2tJAE8DHAuxze1uWknKEoYWNi3JgWgTgpBuAE7js/7ABxgYV9ekTFzSlgEdn0DvHBBnzHprKeAwfv2dVQ0BhlLti5BAEoG2ypKpixnhHPEjWubcSVxCfVt8W1hpvmf/wog9tiLZYJIN3qGxLOeApbcBqx/s3/cFlXZb6NBbW6qEaW+hzkqa1PoqfMEkXmsrEk5lDF2HYAqxthc1c8fAHgcLyGhT8fOvg4KIP9+4QJ5v0KaDDI5Zzkj4mMzrmzHh17+LZvIhkS4H73YfeECYPI5fdvquE2wjaY2N7WERAleT9/CeYDWpBCEG7AykuIHUBJJO0C1fw+AWU4UirBAOKRvhwmH+rbTZJDJOcsZER+bcWU7PvTy9xWRDYlwP0Z1I1Aeu63EbYJtNLW5qSWkfk6KMt1LpJEUgsg0VtakLAGwhDH2OOf8hzSUibCCxydPDVB/wJWNlPcrKAYZbZoUG2QUo436QzOrLWdEfGzGle340Ms/1JWWWCaIpDCqG90tsdtK3CbYRlObm1pCYdXC+ajdizopBJFprEz3ep0x9hqA+xhjr2l/0lBGQo+SIfJcZ7Ud5qyn5P0KaTLI5JzljIiPzbiyHR96+ZePIRsS4X70Yvesp4BVz/Vtq+M2wTaa2tzUIob7RlJ8keletCaFIDIPM3tgEWPsyMjLMwAMAfB0ZPscAN9zzn8X59x/QNYUN3DO99U5Ph3AQgCbI7te5pz/0azQdXV1fPny5WbJ3I2RHcmKNSmSRhL8aA53I8hF+JkXFYFKCF5/TB6SvxjN4Z6+NN4iCL3tgC8ASGEgbOH6gGmZcsg0w5zINNMxK4VFNHc3xtq1tCa4mBNM4lBzXCqsQHNPU6zRqKdZdbwMzd27VbFaAaGzqc9MVzwYUKVHYBDQvZvsXtbIyZh1PUZ1ROwBOhoBSQQEL1BYBvS0ytseH1BcDXQ2QALQLAiQBC8kHoZktW4ql8/uNtdVMTv+hrdx3MTBOPfgUVi1pQW3vrMer1x1GKaMLDc/mcgXHIlZIj5Wp3uBMXYT5/wI1aHXGWMfmZz+OID7ATwZJ83HnPP8et6KkR2pagLQuC6+6SVyrvTVP1F/wH9h9pLr+uwu0+9CbVkthKb1wPPnQBp9BOqnXYnZi9Vp7kDtt29BGHkosPAqa9f3FgJPnx7XPpMxyxlhihQWUd+yAbMXz4mNlfJx+v8MWbF3qSxw+vnfidr3/wxh3RvA+JMhHPkbVCqih/EnA0f+pr+Z7uuXgE/vjW84smmeIwhHMKojlXsDDev6Ytsg1qWvX0L9Pifib+ufx7kTz8W8pfNsW7qozU0d8khKZOE8PcyRIFyDna9dqhhjY5QNxthoAHHHpDnnHwEg3YgWI6NLx05z00vk3OYDL4x2UICI3WXxHDR39+Xd/NNrox2UvjTXoXnKOX0dFCvXb9lEVqUsprm7MdqBADSxoodde5du/nPRfMB5coLJ58Sa6LTbigFpynmWrkcQGcewDW+0FOvNB16I2Z/Nx8zamdEOCkCWrkwgSRxhzqNWL3pOCkG4BzudlDkAFjPGFjPGFgNYBODaFJThUMbYV4yxtxlj+xglYoxdxhhbzhhb3tiY5f+8GBldjIxdatNL5Nyg4NW3u3AxmodhGnB71/cVxS8ToYtbYjYoifpxIIn6J9i1dxnlXxSZHx8oj81Pu63kL3hitynG0o5bYtb1GNURSbQU60rbXOovJUtXkiQbsyFJ7ox4NE+cpzUpBJF5LHdSOOfvAKgFcE3kZzzn/N9JXn8lgFGc8/0hPxjy1TjXf5hzXsc5r6uqyvLFsorRRY1i5tLbrza9RM71S2J00aTCsOJh8DNvNA/DNGD2rh/qil8mQhe3xKxf8OrHgWAw29MoPo3sXUb5d0W+De5uic1Pu63kL4UtXY9wDrfErOsxqiOC11KsK21zW7BNv+6QpcsyycasMq1L+zBHUhATROaxYvc6KvL7DAAnAxgb+Tk5si9hOOd7OOcdkddvAfAxxnJ/kq2R0aVkiLnpJXJuxbInce+Rd8TaXabfhYpAX94VH9+Ne6dr09yBii+fA2Y+YP365WPIqpTFVASqcO/0u/RjRQ+79i7d/O9Excpn5ASrnos10Wm3lTUpXz5j6XoEkXEM2/AqS7FesexJ3HvIPCysX4j50+aTpSuDiJERE6/2OSm0JoUgMo4Vu9d8zvk8xthjOoc55/xik/P3AvCGgd1rCIBdnHPOGDsIwIuQR1biFiqrrDN2LV527F5gaOYigjyMQk8hJC4iKIVke5KnEEKwU7Z7Sb191iWhAEKwM9bupX0t9gJSCGAe+ZtBJshTcULdgMff9zo3DUuuss6kimTtXlJgEJqDrX0mIX8ZBJV9SyosR3N3k8reNQhCZ6PK3lUZazwqqdJsVwPq9CVDAAuGIwJAjsasa7DaVhdWAJ27AMEnt6WMAZwDXJLbUGVb8AKSCMnjQzMk2e4FCRKX4lq6stzmpcU1MdvQ3oOD/vQBLp62F46dOAQ72rox94WvcPd/TcZpU4Y7UUwiOyG7VwawYveaF/l9kd3MGWPPAZgOoJIxthXAPAC+SH4LID+x/krGmAigG8DZZh2UrMLMkqRnKjLar5NGAFAJQBJDqG/dgNmL58balcrGQfD60G9oqkj1LZ1eGX/+hNwJefUK+/YxwpUIHi8qS4baOEFl7+IS6lvqMfvD2bF2sPf/pG/vUkZGltwGrH8TOHQ2sN+Z8W1e6vQUV4RbsNqGh0Vg1zfxrV4/fxL46PZojAtnP4dKizGuWwctWsCI+IjR6V7y++jzyL9pTQpBZB7LrRtjbCNj7BnG2BWMsYlWzuGcn8M5H8o593HOazjnf+ecL4h0UMA5v59zvg/nfH/O+SGc808S/UNciU1LUqLIdqW5/e1KRvYmszJ2NfV1UNTltmIfI3KO5p7m6D9HgMoOZmTvUmxdk8+Rt6ecZ27zUqenuCLcgtU2vGOnudXrXxcmHOO6dZAsYClBsXh5NNO9grQmhSAyjp2vYCYCeAjAIAB/ZYxtYoy94kyxcgSblqRECXIDuxI3sDep0Sujryhx+xiRcwTDQXv2LkDeDkQehCZ4rNm8AuWx2xRXRKax2oZr20azOmGUjwGGLl/gEAAAIABJREFUdZAsYEkTXTgfVRArz0mhTgpBZBo7nZQwgFDktwRgF4AGJwqVM9i0JCWKnxnYlZiFOf16ZQx1JW4fI3IOv8dvz94FyNvdLfJrKWzN5qWkV7YprohMY7UN17aNZnXCKB8DDOsgWcCSpt9Iioeek0IQbsFOJ2UPgLsBbAbwC875oZzzy50pVo5g05KUKLJd6c7+diUje5NZGYsqgdMWJGYfI3KOisIK3HvUvf3tYEb2LmWNyarn5O0vnzG3eanTU1wRbsFqG14yxNzq9fMnE45x3TpIFrCUoF2TQnYvgnAPpnavaELGZgI4HMBBAIIAPgHwEef8A+eKp09WWWes2LrCojynORySp1pJIfm1vzhi2lIMSEMAr0//MmKwz64k+FDBvBBCPbE2LiMzl/r6Hj/gLZBf87Bso7FrH8tuXGOdcZSYe65j0zKze/lKIXTusmHv0m4PBnpa+uIoMAhQ2cJyMK6cJD9i1mnMLF5gcnsctXaFZQOixxdpLzUWr4KBQO8eVTq/bP0Cl9tYmzFOdi9zEonZFT+04MwHP8H/nDABk0eUgXOOcx/9HNccXYs5x45zophEdkJ2rwxg2fHJOV8IYCFjbAKAEyE/bf43AAIOlS03MLN1qa0wJdXA0X8AFl4FjD4COPAS4IULY41I1fv076hIEoSmDah8/pzYPJTzZj4AfPAHoKMh9nUixi4r9jHC3WhNREpsDd5X7qjoGI1iTETa43omI62tS2vz0osxiisiU5hZvAorgIZv5Zg++HLgtV8bWrtw6v3A5w8BR1wfuz9JY53ABFQGcv8xYulG+5wUxhi8AqPpXgThAuzYvV5ijG0EcA+AYgAXAiiPfxZhitoKM+3avs7FoVf3dVCAPgNSx87+eagNNOo8lPMWXiXv174mY1d+ojURaWPLzGikPW5m99KzeVGMEW7CLOaVOjP5nL4OipJOa+167dfydhI2LyJ9aJ84D8gaYuqkEETmsfO0tFsArOSch/UOMsaO5Zy/l5pi5RFqK4zaCGNkRJJ0jF1qA42ZVUb7moxd+YfRPQ+H5NdmRiPtcasmI63Ni2KMcAtmMS+JfTFtJdaVdGSscz0hKTKS4unrpHg9jNakEIQLsDySwjlfZtRBiXBrCsqTf6itMGojjJERSdDpV6oNNGZWGe1rMnblH0b33BOZRmhmNNIet2oy0tq8KMYIt2AW84K3L6atxLqSjox1rickKnavvn+HvAJDLz0nhSAyTipX3dGiokRQW2GW3i2vGSkbCXx6H3DWk/2NSCVD+uehNtCo81DOm/mAvF/7moxd+YnWRKSNLTOjkfa4md1Lz+ZFMUa4CbOYV+rMqufkNSfxrF2n3i9vJ2HzItKHKPWf7uWl6V4E4Qos271MM2JsJef8gJRkZkLOWWfEkDznWRIBb6FsiQkHZTtMqKvPiOQvBnra9G1MMYawiMtAsXWZ2b1y39hlB9dYZxzFpt0LhRVAjM2rGuhssGf36mwyvh6RDPkRs05j2+4VsXkZ2b18RYDYLZu99EyJ+Y1rYnbhqm245vlVuOPn+2NYmfzZOfeFVThodAXuOXuKE8UkshP6Ij4D0H8JmUaSgKb1/a0yetYttZlLa2OyY+jSQsau/MPjBUprjI+rY8LIBqa2dWltXur4MzMnEYQb0GsHldhd9OdYq5cVo10i9kQi7egtnCe7F0G4g1S2kt+nMK/8wcgqo2fdUpu57NiYCCIZjGxgaluX1uYVzwZG8UlkC0rsaq1eVox2ZE/MCrRPnAfk6V5BkRbOE0SmMR1JYYydEe845/zlyO+46QgDjKwyRgYmrZkrXh5kkiFSgVEsam1dRiYjik8iW1FiV2v1smr5Inui6xH1Oik0kkIQrsDKdK9T4hzjAF5OUVnyE8Uqo/4gU1u3tPu1Zq54eZBJhkgFRrGotXUZmYwoPolsRYldxdalxLB2G9CvA0Z1h2LfNQSV6V4eld3LQ50UgnADptO9OOcXxfm5OB2FzGmMrDJ61i21mcuOjYkgksHIBqa2dWltXvFsYBSfRLagxK7W6mXFaEf2xKxA+8R5+TXZvQjCDdiyezHGTgawD4BCZR/n/I8OlCsurrfO2LVlaU1LviIg2ClbuqSwbPpSRk1C3dZsTGSQSRTXWGfSim2b12Cgp7kvfWAQ0L3bOP4oPp0kP2PWjGRjTjlfkmRLHRNkgxc44C3oH/NGdYBiXw/XxOz9H9bjr+9uwFMXHxQdTbn1nXXgABb+9zQHSklkKWT3ygCW7V6MsQUAigDMAPAogFkAvnCoXNmLXZORnplLbfGyaoIhQxeRKNqYNTIXKTY5BW28xYs/ik8inSRrlNM7/9T7gc8fAmb8ri8fK3WAYt/VKHYv7ZqUzmC8Z1cTBJEO7Hydcxjn/EIALZzz+QAOBTDCmWJlMXZNRnrp1RYvMsEQTqONQSNzkWKTIwi3k6xRTu/8134t1w1qk3OKUFiCR2BgrK+T4hFY9En0BEFkDjudlO7I7y7G2DAAIQCjU1+kLMeuycgovdriRSYYwkm0MWhkLlJscgThdpI1ysVrl6lNzimUTooar0dAkNakEETGsdNJeYMxVgbgdgArIT8X5XknCpXVKDYYNfFsLkbp1RYvMsEQTqKNQcVcpEZtkyMIt2O3HbZ6vlI3qE3OGYKiBL8n9l8hUhAThDuw00m5jXPeyjl/CcAoABMA3BzvBMbYPxhjDYyxbwyOM8bYvYyx7xhjqxljB9gojzuxazLSS6+2eJEJhnAabQwamYsUmxxBuJ1kjXJ65596v1w3qE3OKXpFCT5P7EiKjxTEBOEKLC+cB/ApgAMAgHPeC6CXMbZS2WfA4wDuB/CkwfETAdRGfg4G8GDkd/agNrf4i4FQFxAoA375FqIWmHg2F0EAqiYAF70da/ea9Xif3WvPNsDjlx+eF+ruM8QAZI0hrNmDtGm0JqLKcXLMSiIgeIGS6tiYLB5szWREEG5AEOTF7Ze83z9GtTZFI3NdYalcB5gH4GH590m3yW1x+3aAc4r9HCAoSvB7tSMpQnRBPUEQmcPKE+eHABgOIMAYm4I+DdtAyLYvQzjnHzHG9oqTZCaAJ7nsQf6MMVbGGBvKOd9hpfAZR22AGX0EcOAlwAsX9jcixfsA07N7nf2c3HExs355C4GnT0/MXkPkBlYsRlbtXUtuA9a/2d/mpXcNbXqKPcJt6Fm1wiKw6xvj2NerG+r2eNGfgYMvlxfRU7ubE/SKEryae+f1MFqTQhAuwEqrejyAvwKoAXAngDsiP3MA/C7J6w8HsEW1vTWyLztQG2AOvbqvgwJYNyIZWWg6dppbv1o2JW6vIXIDKxYjq/auyefEbiuxq3cNbXqKPSIb6NgZP/b16oa6PZ58Tl8HRX2cYj9r6RXD/aZ7ecnuRRCuwHQkhXP+BIAnGGNnRtajpBK9h+PojrEyxi4DcBkAjBw5Ui9J+lEbYARPYkYkI4tMOGRu/fIV9T9O1hnXkJaYtWIxsmrvUmJL2VZi18xAp3dNIitxZTubSsza1XhmO7XdS3ucYj9jJBuz8pqU2O9rPYIAUeKQJA5BoGf4EUSmsDM+vZQx9nfG2NsAwBibyBj7VZLX34rYZ63UANiul5Bz/jDnvI5zXldV5ZJFi2oDjBROzIhkZJHx+MytX6Gu/sfJOuMa0hKzVixGVu1dSmwp20rsmhno9K5JZCWubGdTiVm7Gs9sp7Z7aY9T7GeMZGO2V5Tg1YykKGtUemk0hSAyip1OymMA/g1gWGR7A4Brk7z+awAujFi+DgHQljXrUYBYA8yn9wFnPWnfiGRkoSkZYm79Kh+TuL2GyA2sWIys2rtWPRe7rcSu3jW06Sn2iGygZEj82NerG+r2eNVzsuWL2t2cIagzklIY6aR0BcVMFIkgiAhMXrNuISFjyzjnBzLGvuScT4nsW8U5nxznnOcATAdQCWAXgHkAfADAOV/A5Ee83g/gBABdAC7inC83K0tdXR1fvtw0WXrQs3splpiSIfLCYzt5qG0x6v1k90oXjoztOxqzqbB7FVYAnbuMY9fsfIq9TJJ9MZtJrNq9jNpjSZJtX2T3SgbXxOyJ93yEIr8X/++48dF9SzY0YsGSjfj4NzMwoiKuH4jIH2jeXwawoyDuZIwNQmTNiDLyEe8Ezvk5Jsc5gP+2UQb30c8gU5GCPEz2qzE7TuQ+VuJEL412u7QmufMJIhvwePvHunY70faYyDp6QxJKA7H/fxb65E5nJ42kEERGsdNJmQt5etYYxthSAFUAZjlSKoIgCIIgCIfRn+7lAQB09oYzUSSCICLY6aSsAfAK5GlZ7QBehbwuhSAIgiAIIuvQs3sV+GhNCkG4ATsTaZ8EMAHAnwHcB/kp8U85USiCIAiCIAinkZ+TohlJ8ckjKV1BGkkhiExiZyRlPOd8f9X2IsbYV6kuEEEQBEEQRDoIhqV+D3NUpnvRSApBZBY7IylfRhbLAwAYYwcDWJr6IhEEQRAEQTgL5xy9IZ01KcrCeVqTQhAZxc5IysGQn2miPG53JIC1jLGvIYu6JqW8dARBEARBEA4gShwc6L8mhUZSCMIV2OmknOBYKQiCIAiCINKI8kR57XSvgujDHGkkhSAyieVOCuf8BycLQhAEQRAEkS56QnInxK8ZSREEhgKvgI4eGkkhiExCj8klCIIgCCLv6OyVOyGKzUtNacCH3Z3BdBeJIAgV1EkhCIIgCCLvUBbGG3VSmjp6010kgiBUUCeFIAiCIIi8Q1kYr9i81JQGfGhop04KQWQS6qQQBEEQBJF3dAbjj6Q0UieFIDIKdVIIgiAIgsg7lDUpis1LTVmRDy2dQYhhKd3FIggiAnVSCIIgCILIO5ROSkBnJKWiuAAcwLbW7jSXKsVIYWDPdvk3QWQZ1EkhCIIgCCLv6Ioz3Wt0ZTEAYPXWtrSWKaXUvwfcNRG48yfA3ZOAVc9lukQEYQvqpBAEQRAEkXd0Bo0VxCMqAvB5GL7a0pruYqWGLV8Az50D+IqAgy4DCkqAV68A3v09wHmmS0cQlrDzxHnCBEni2N0ZRFAMw+/1YFCxH4LAzE8kCMI2VN+yD7pnhJvo6g1DYP2fOA8AXkHA2KoSfLZ5dwZKliThEPDa1UCgHDj+z4C/BBh/MvDFQ8An9wJFFcDhczJdSoIwhTopKUKSONbvaselTy7H1pZu1JQH8MiFdRg/eAB9CBNEiqH6ln3QPSPcRkeviEKfB4zpx98+w0rx8sqtaOsKobTIl+bSJcGKx4HGdcCM38sdFAAQPMDBVwC9HcD784FhBwBjjsxoMQnCDJrulSJ2dwajH74AsLWlG5c+uZyeWEsQDkD1Lfuge0a4jfYeUXfRvMK4wSXgAL7dnkXrUqSwPFpS/RNg5MGxx5gAHHY1UFoDvHIF0NuemTIShEWok5IigmI4+uGrsLWlG0GRjBoEkWqovmUfdM8It7G7szfuCMnIiiIAwNqdff/MSxIHd/OajnVvAq0/AhNP1z/uCwDTrgHadwAf/im9ZSMIm1AnJUX4vR7UlAdi9tWUB+D3Gn9LQxBEYlB9yz7onhFuo6m9FwMLjTspZUV+lAV8WLdjDwAgKEr42X3/wdwXvkpXEe3z5dNAcSUw4mDjNFUTgHHHA8seAZo3pa9sBGETxzspjLETGGPrGWPfMcb+V+f4LxljjYyxVZGfS5wukxMMKvbjkQvroh/CynzrQcX+DJeMIHIPqm/ZB90zwm00dvSiNBB/rcnw8gC+a+gAACz7vhlrduzBK19uQ3tPKB1FtEdHA/Dd+8Do6fIalHjsfy7APMCiv6SlaASRCI4unGeMeQD8DcCxALYCWMYYe41zvkaT9J+c8187WRanEQSG8YMH4JWrpiEohsEYg4fJ87DJYEMQ9jCzQGnrG5mi3A+1kYSb4FxuY8w6KUNLA/hi825wzmOembJuZzsO3KvC6WLa4+sXAR4Gxh5lnraoAhh/EvDNS8DRvwfKRjpfPoKwidMjKQcB+I5zvolzHgTwPICZDl8zYwgCw6BiP/b0iDjroU9x8F8+xOkPLMX6Xe2QJBfPYSUIF6FYoE5/YCmm3brIsA4JAkPVgAIMLy9C1YAC+ic3C6A2knALe7pFiGFuPpJSVog9PSKaOoKob+hbm7KtxYVPov/qOWBQrfUOx09OkX9//pBzZSKIJHC6kzIcwBbV9tbIPi1nMsZWM8ZeZIyNcLhMjkIGG4JIDqpDuQ3dX8IN7Ngjx1+5iVp4WJk8PXFTYwfqd3Vg/OABAICtLV3OFtAuu74Fdq62NoqiUFINjDpMXsci9jpXNoJIEKc7KXpfbWq/LnsdwF6c80kA3gfwhG5GjF3GGFvOGFve2NiY4mKmDjLYEArZErNug+pQ5khHzNL9JVJJojGrrDNROiFGKMfrGzrwXWMHRlcVozTgw7ZWl42kfPW8vA5l9BH2ztv7WKCnFVj/tjPlIogkcLqTshWAemSkBsB2dQLO+W7OudKFfwTAVL2MOOcPc87rOOd1VVVVjhQ2FZDBhlDIlph1G1SHMkc6YpbuL5FKEo3ZjQ2dYACGlBbGTVdR7EeBV8DH9Y3oDoYxvCyAyhJ/v452RgmLwNcvAMOmAoWl9s4duj9QVAl89awzZSOIJHC6k7IMQC1jbDRjzA/gbACvqRMwxoaqNk8FsNbhMjkKGWwIIjmoDuU2dH8JN/BdYweqBhSgwKRzLDCGYWUB/PvbXQCAURVFKCvyo7HdRdOjNn4AtO8E9j7G/rmCBxgzHah/X7aDEYSLcNTuxTkXGWO/BvBvAB4A/+Ccf8sY+yOA5Zzz1wDMZoydCkAE0Azgl06WyUkUI1F5kQ//vOwQhCUOj8BQXdJ/UW8oFEZDRy9EicMbSePTPPnWzHBEELmIkblLkjh27ulBKCzB5xFQXVIAr9f4exZt/SkP+NDSHYpulxV60dgZtJyfGVRf+9C+F6UFHjR2BqPtndJGCgzgYKgq9tN7R6SVDTvbTad6KQwtLcTmpk4IDBg1qBhlAR++b+p0uIQ2WPkkUFgOjDgosfPHHg188yLwzcvAIVfYPl3iEtY1r8M3Td8AAIYWD8XUwVNR5CtKrDwEEcHRTgoAcM7fAvCWZt+Nqte/BfBbp8vhNIqR6K731uMXh43G/7y0GltbulFTHsCC86diwuAB0X+AQqEw1jV04MqnV0TTPHj+VEyoLol2VJT8lAWmyreN4wcPoA9vIudRzF0Koihh3a52XKGqM9p6pUZbf46bWI3ZR4+LOf/B86fivg824N01Dab5mUH1tQ/te3H5T/fCzybXxLR3t545CU98shm/OGw0Plq/C6dMrom5N/n63hHpQQxL2NTUgeP3GWIpfU15EYDdGDywEH6vgNIiH5o7gxDDEryeDD8Tu32nvJ5kn9MAIcF/6cpGyEawta/b7qSsb16P3/7nt6hvqY/Z7xN8OGbUMTh7/NmYUj0FjFFdJuxDT5xPEYqx5sypI6IdFEBeEHrF0yvQ0NE3NNzQ0Rv9wFbSXKlJQwYcguijoaM3+k8soF+v1Gjrz5lTR/Q7/8qnV+DMqSMs5WcG1dc+tO/FrLqR/dq7/3lpdbStnFU3st+9ydf3jkgP3+/uQijMI50Pc35aW4kxlcU484AaAEBZwAcOoNkNMfrlU/KzUfY+Lrl8Rh4K/PgJ0Nlk+ZQPfvwA5711Hpq6mvDLfX6J2464DXcceQeuq7sOR9QcgSVbluAX7/wCZ71xFl7f+DpCYRc+AJNwNY6PpOQLirGmLODTNdeIYSm6LUpcP43qOQFkwCGIPkJhybReqdHWH6N6WaZ6RkK8/Myg+tqH9r3wCMzwvd/a0m14PB/fOyI91O+Sn3eiFTgYUVlSgD+dvl90uywgr59qaO9F9cD4C+8dJdgJfPYgMHwqUKr3dAcbjDwMWP1PYP1bwAEXmib/suFL/GbJb1AzoAZXT7kapQV9C/bLC8uxz6B9MKt2Fj7d8Sne/+F9/O4/v8OdK+7EeT85D2fUnoGKQpc9CJNwJTSSkiIUY01rd0jXXKMeEvYKTD+NamoDGXAIog+fRzCtV2q09ceoXrZ2h2K2E526QfW1D+17EZa44XtfUx4wPJ6P7x2RHjZF1pMMt7gmRUtp5NkqjQmOvKaMZY8CXbuBSWcnn1fFGKBksDzly4Sm7iZc8+E1KC8sx7UHXBvTQVFT4C3A9BHT8cdpf8ScA+ZgcNFg3LPyHhz1wlG49N1L8cL6F7Czc2fyZSdyFuqkpAjFWPPSii249cxJMeaaBedPRXVJ3/z66pICPHj+1Jg0D2rSkAGHIPqoLinAAk2d0dYrNdr689KKLf3Of/D8qXhpxRZL+ZlB9bUP7Xvx4vIf+7V3t545KdpWvrj8x373Jl/fOyI9bGvtxsBCLwp9iXWElafUN2XS8NW6BVh8C1BzIFD9k+TzY0ye8rVpMdDTZpiMc46bP7sZ7aF2/HrKr1HiLzHNWmAC9qvaD9fVXYebpt2EE0afgE1tm3DTZzfh2BePxRkLz8A9K+/BqoZVCEs0gkr0wTjXPlvR/dTV1fHly5c7krfaSuPzCvAKDN3BWOOMkcVHFKXInHYOzoEw5/Aw2Vzj98fOrLNi91LyS5V9iLCEI6v7nIzZREi3iSoV19PWmcoiP3Z3hwzrh5lhSjlfWfyaxXYv18Wscq8YAzgHJM4hMAaBARKXp4CFJQ55La3cRrb2iGT3yh8yGrO/fOwL/LC7C39WTeGyQ08ojIseX4bfnDAeV03fO6E8kiLUDTx+CrDra2DmA/KT41NBwxrg7d8AZzwKTPq5bpL3fngPcxfPxazaWThpzEkJX4pzju2d27G6cTVWN65GfWs9JC6h1F+K6SOm45L9LsFepXslnL8DUIOUAWhNigo9Q8/tsybhtnfWo7GjF49cWIfaqhLUN3b0s/jo7VcMNrOPHtfPGuTzeTA8zqI9SeK61yHjDZEs6TZRpeJ6ksTxXVNnXGOU1s6lNoTZtYMlgtZIlq+IooT1DR2494MN/UyH6jbxXpVZjdo2Ip1sa+lOaqSu0OdBwOfJzLNSOhqBf/0C2LYcmP7b1HVQAKBqAhCoANa+pttJ6Q334o7ld2DEgBE4fq/jk7oUYwzDS4ZjeMlwnDj6RHSFuvDN7m+wunE13vn+Hbyx6Q38ar9f4cr9r4Q3UWsZkfXQ1/Iq9Aw917+4GldMHxs1zjR09OpafPT2KwabRKxBZAsinCLdsZWK61kxRsWrZ3btYETiKO+1nulQ3SaqzWrUthHpgnOOba3dqExwaqdCeZEv/Z2ULcuAh48Eti4DfjoXGHVYavNnAjDyEOC794BgV7/Dz659Fts6tuGs8WfBI6R2zViRrwgHDTkIl+x3CW756S04ZOgheHj1w7j03UvRHmxP6bWI7IE6KSqMDD2KAWhrS3dcy1A8g41daxDZgginSHdspeJ6Vo1RRvXMrh2MSBzlvY5nVNMzq1HbRqSDPT0iuoJhDCpJbs1Tabo7Kcv/ATx2AiCJwIm3AWNmOHOdUYfJ08m+ez9md3NPMx5a/RD2r9of+wzax5lrRygtKMWv9vsVfrXvr/Blw5e45N+XoK3XeJ0MkbtQJ0WFkaFHMQDVlAfiWobiGWzsWoPIFkQ4RbpjKxXXs2qMMqpndu1gROIo73U8o5qeWY3aNiId7GiTO86DipMbSSkN+NJn91r5FPDGHGDYZOCUe4BBDq6DGbwfUDBQnvKl4sFVD6Jb7MZZ485y7toapg2fhqunXI361npc/eHV6A3TyHe+QZ/QKvQMPbfPmoQFizdG501XlxToWnz09isGm0SsQWQLIpwi3bGViutZMUbFq2d27WBE4ijvtZ7pUN0mqs1q1LYR6WJ7a6STkuxISsCfnpGUnV8Db14HDJsCTP8/wIJNKykEDzDiYGDDO4Ao/33ft32Pf234F46sORJDS4Y6e30Nk6omRUdUblx6I7JR9kQkDtm9EGsN8nkEFHgZekISCn0CekMSQhKHT2DweQV0BcMoKfSgJyjJ6VX7SwMedPZKCEscHqHPZFPoE9DRG0YgYu9SbEQA0B0Ko6TAg16R97MUWTGNESnHdaYkJ3DaRKXNf6Dfg6auPrPWoIAfu7vjb7eHwjHlCwbDpuc09/TZviqLfGjq6tseFPDFlEFr1DN7TzJo7zIjYzGrfU/KCr1o7Ayi2M/Q0Su3oT0hKfqeCwIgSYi2jUV+Ad0hTnav/CNjMfvs5z/id698jfvPmYJBSXxJ8cqX2/DC8i1Yd9MJCauMTZEk4JHpsm741PuAQv3nkaScrcuAD+YD574AjDsecxfPxUdbP8ItP73F8JkoTvP6xtfxynev4PeH/B5njU/faI4KapAyQN4rE0KhMNY1dMRYgh48fypqBxWjfndnzP7bZ03CKyu34fQDhuP6F1ejqqQAvzlhPK5/cTUOGzMI5x86Clc9s7KfyebXR9ViyboG1I2uwPUvro7Jb/nmZhw5oTrmPLV1qGpAQdptTETu46SJShuveiauB8+fivsidqc//GwCpo6ujB4/bmI1rj56XEz6hy+YCp9XwEWPLdPNQ9l+Y9VWPPTx97p5aNOr65BZHaM62B/te6K85ys2N2Hq6Eq8sWorTt5/uG6b+IvDRuOJTzbj6qPHoaWjG80lgRjzWr6/t4Rz7GzrBkPfAxkTRVlT1dTRi5o4ps6k+Oo5YMdXwE//X/o6KAAwdDLgKwbWvoZVZYPx3g/v4bSxp2WsgwIAJ485GRtaNuDWL27FpKpJmFAxIWNlIdJH3k/3aujo7WcJuvLpFdjdHey3//oXV+PSI8ZEOxpXTB8bfX3pEWOiH8ZKesVkc9UzKzHzgJpoWnV+Mw+o6Xee1jpEpi8im7Bi4rpSZXc6auLQmONnTh3RL/1lT63A1uZuwzyU7Vl1Iw3z0KZX1yGzOkZ1sD/a90R5z5X7OatupGGbqPy+8ukVGFs9sJ95Ld/fW8I5du7pQVlcuPFHAAAZV0lEQVSRD14huX9/ok+dd2rKlxQGltwKVI4DRh/pzDWM8PiAEQeCr3sTdyz/K8oKypJWDieLwARcut+lKPYV47rF16Er1N8+RuQeed9JESWub/0x2K+2CqntNUa2ISWNxPXz4wb71dYhMn0R2YRVE5fyTaS2bhhZoYr8HsM8lG1P5Jv3eGYp9bZSh8zqGNXB/mjfE21bZ9YmRs2HBm1tPr+3hHPsaOtBRQrWPyltiWOdlHVvAK0/APvOQuSpp+llzAy8x3qwqvErzBw7EwXezK/fG1gwEJdOuhRb2rfgtmW3Zbo4RBrI+06KV2D61h+D/WqrkNpeY2QbUtIITD8/ZrBfbR0i0xeRTVg1cSl2J23dMLJCdQXDhnko22GJx83DyChlVseoDvZH+55o2zqzNjFqPjRoa/P5vSWcY2dbD8qLUtBJieThmOHrk/uAAUPkRewZoL16Am6prESt5MHhww/PSBn0mFAxASeOPhEv1b+E93943/wEIqvJ206KJHE0tveiwCv0swQ9eP5UDAr4++2/fdYkPPLRJtw+SzbWLFi8EX87dwoe++WBCEtSP3uQYrJ58Pyp4P+/vTuPk6Os8zj++c6RzExuMuScXIYICUFyGxJAVGRBkBDERRAkyAosKCjrCuqKQV4vXVnAxUW55AyIhAguBheIi9lwhJAhkJtIzDkhd0LuzPnbP6omdDpzZaZ7qnr693695jXV1XX8uvtXT/VT9TxPWw2/+dqoI7b33wvKjpifPOqQj/TlMklTRuK6L2F0p1eXbTzs+dpjJnH5By8fTckxhfVuo6RbIY9eOZZ95VU8c/V4jilqd8TxmLx84jFU1zH2xDfGYRgbdu4nNwc/BpMkv2e1n1vt5zmjdN0RZVttmZhYNv59y+4jPqtsf29d+mzenZo7KZ0Lgy69abmTsv7toPP60EnBaFsRuGfNC2zLFT/duIGivZsjiaE+Fxx3AQM7D2Tqm1PZvC9esbnUysrRverq2Hv5hEFUJ436kzzqV16uOFgRjLR1sLKavByx60DVofbUZw3rwY/OHUaOgqvDCkewmfbm6kOdef/t3GHk5ujQ6F4HK6vpEI7uVVVdQ17C6F7JMcd0ZKG2JitG90q3xHzt0D6X3QerqKiyQ6M6dS7MZX95DTVm1Bh075jH/vKaZo/uVZCXw/Z9FUHflbDz9RNXjqOwXS6V4XHV2AhSiTEXtstl8+7ywzrKP/GNcXQsyKOyqiZux2Cko3tt21fO/vJqVm/bx5KyjzjnU33oVpTHwcoa8nNFRbUdGvEwV1BtweheGBS1z6GyWnQrzGfngUov37JHJDm7v6KKYbe+zMVj+3HBiL4t3t+1T77DF0/qxc8v/FSLt3WY6V+Hlf8LFz0K+YWNL59if92+iBuW3s/ZXYdxx3svs+lTF1F2yjWtHkdDNu3bxG1zb2NEjxE8+IUHyVHar7l7gRSBrBzdK7nD5wOvreHFJZt5/rqJh414lJ+fS9+kUTu27iln8m/eoGznAR64fDS3z1x2aDuvLNvCso17mH7NKfTpWnjYsonPJ++nKdI5GpNzqZaYrx9+dIBLH5p3WL+Dkm6FPDplLF/45ZxDj5+/biJ9E3K8oODw4qmgII++SfNqH2/dU36oggJBn4avP/o2z183kd5dPz7JH9vAUKGJMW/dU35ER/mvPxJsL7lMyGY5OUKIyx7++PO96y8fUNKtkGeuHs+F98094nP/8XnDuH3mMqZfcwpdiwoOPeflm0u3TbsOAqTsLl3vLgV8sHlvSrZ1yM41sPxPcOKFkVRQ1h/Yyo9XPMGAwh5MLvkcO7ZspseymWwceQnVBZ1bPZ769OrQi0tOuITHlj7GE0ufYMrwKVGH5NIgK5t7taQTbOK69XXOre307p1tnQt+F6i+QSgSH7fkuEj1sebHbtPV917V1yH+UIf5hMFBnGsNtZWUVPRJAeh3TBErNu9J7Q8MvnV/0FH+hPNSt80m2laxm2sW/xfVZlzb/xzyc/LY+MnPk1t5gF4Ln231eBpzWt/TGN1zNPe8ew/Lty+POhyXBllZSWlJJ9jEdevrnFvb6d072zoH+bk59Q5Ckfi4JcdFqo81P3abrr73qr4O8Yc6zOdm5enHRags/LX54hb8iGOift2K2HOwinU7UjQc7v4dsOBxGHg6dChOzTabaP2BbVyx8C62VOzixkHn07N9NwAOdO7D9pJR9Fo0g/a7P2zVmBojiSuGXUGn/E7c/NrNHKg60PhKLqNk5VmiJR3RE9e9f/bfD3Wir91OYqd37/DuHPTo2L7OTuwzStcdetzS4yLVx5ofu01X33tV1+de22E+eXAQ51rDuu37yREUd0rNcTy8b9D86a/vb0nJ9nj7IajcD8O/nJrtNdHs7Yu49N1fsKNiDzcNmszgot6HPb9+2HmYchg4++7g91tipGO7jlx10lWs3rWaO+ffGXU4LsXS3nFe0tnAPUAu8Fsz+/ek59sDTwCjge3AxWa2pqFtpqITcks6oieuW9Auh4pKO9Q5N7nTu3d4zzjecT4NqqpqgkEomtiJvTlSfaxl0LEbec7W914lfu65OSJHYKjOwUFcVokkZ7/1uwWUrtnJLy8ekbJ93vLcIvJyxP/ceDrtWpLTFfvgl8Oh+Dj43K0pi68hm8p38stVf+TPW+fTv+BYrul/Dr0Ljqlz2eK18xj03jNsGH0ZH46d0irxHY3pK6bz0pqXuH3i7Vxw3AXp2EUsC/+2Lq0d5yXlAr8GvgCUAfMlvWBmyxIWuwrYaWbHSfoq8Avg4nTGBS3riH4063qHd+cgLy+HPl0Pb/rTUCf25kj1sebHbtPV917V9bk7F5U12/fRs3Nqj+mLx/TjjpdXcMsfFnHXP56MJHbsq2D1tr2M7Net6Rc25j0AB3bA8K+kNL667Krcx+Nl/8u0Da9SbdV8qcenOa/HWPJz6v9KuK3/ODruWE3fd56kqqALW06anPY4j8aFQy5k3Z51TH1zKt0LunNayWlRh+RSIN2je40DVprZKgBJvwcmAYmVlEnA1HB6BnCvJFkmjo3snHPOudipqq7hg817+fzQnind7sj+3fjK6BKefaeMXl0KOHVIMf/85AJ2HajkC8N68sBloxuvqOzdAq/dFfxwY4+hKY0v0e6q/Uwre5VpG15lX/VBxnX5JBf1nkhxuy6Nryyx9uSvkFexnwFv/Jp2e7dS9umrIvsdl2R5OXlcP+J67ph/BzfNvon7zryPMb3GRB2Wa6F032/vC6xPeFwWzqtzGTOrAnYB3ZM3JOlqSaWSSrdu3ZqmcJ1LHc9Zl2k8Z12maWrOfrBlL+VVNXyiuEPKY5g8si+fPb4Hv5n9dy59aB4d2+fxDyf2YtayzTxTur7hlc1g5nehqhxGX5ny2AB2Ve7nvrUv8g/z/o371/2ZEzqW8NMhl3HtgC82rYJSG2pOLivHXsGWgRPovXA6Q5+/gYKda9MSc3MU5hXynVHfoVtBN66ZdQ2z1s6KOiTXQum+k1LX5YPkOyRNWQYzexB4EIJ2py0Pzbn08px1mcZz1mWapubsgnU7AdJSSZHEP502iKG9O7G3vIozPtmDgvwc1m7fxx0vvc8Xh/emS1F+3SvPvRfenwljvgFdSlIaV9mBbTy54VWe2/QmB2oqGNl5MJN6jqd/4bHN32hOLmtPvog9xYMZsOg5TpxxLZuHT2bjqEuobt8pdcE3U5f2Xbhl3C38asGvuGn2TXxt6Ne4YeQNFOX771tlonRXUsqAfgmPS4DkMexqlymTlAd0AXakOS7nnHPOZYmXl2yiV+cCenUpaHzhZsiROG3I4V/+p0wYyA+fX8zds1Zw26Thh69QUwOv3w2v3g4DJsKw1HT23lW5nzk7FvOnzfOY99EKhPh0t+M5q3hUyyonSXb0Hcnu7oPpt+xFei18lmOXv8jWoeey5cTzqejcK2X7aY5O7Trx/XHf59kVz/LU8qd4Zc0rfPNT32TS4EleWckw6a6kzAeGSBoEbAC+ClyatMwLwBXAXOAi4FXvj+Kcc865VHhj5TZe+2Abk0f2RWq9QZoGdO/A54f2ZNpbaxnRvytjSzpQXF5Gwab5UPoIbFoc/CbKqd8FNb31vZmxp/oAOyv3srV8F6v2b+Lv+zeyeM8alu5ZSw1GcbvOnNtjHGd0P4lu+R3T8vqqCjqzetQlbBr8Gfr8bRa9Fs2g18Jn2dfjeHb1H8e+4iEc7NafqoIuVLcrCl6jGWBH9XqbIz8nn0uHXsq43uN4ZsUz/Gzez7ir9C7G9hrL+N7jGdx1MAM6DaBLQRc65nckJ83xuOZJayXFzKokfQt4mWAI4kfMbKmknwKlZvYC8DAwTdJKgjsoX01nTM4555zLDtv3lvNPj5fSp2sBF44qadkwwc1w+fgBrNu+n5ufKWVx+6tor6rgia794YwfwCc+G/zCfD3+Z/M8fva331FVU02VVVNtNVRZNZbUKr4gpx39Cntwfu8JnNT5ExzXoS85rVQhqyoezLriwWzcv4Nj1r5F541L6FM6DSXFWJOTT05NJes/8y9sP/H8Volt6DFD+cn4n7Dyo5XM3TiXJduW8PqG1w9bRoii/CIm9JnA3Wfc3SpxuaZJ+++kpIOkrUBTe2sVA9vSGE4cZMNrhNZ5ndvM7OxUb/Qoc7a5MiEPPMbUSIwxk3O2PnH+DOIcG2RGfO9HkLNxf18aksmxQ2bHXxt7WspZ17CMrKQcDUmlZtamx6HLhtcI2fM6mysT3h+PMTUyIcaWiPPri3Ns4PHFbb+pkMmxQ2bHn8mxtwXeCM8555xzzjkXK15Jcc4555xzzsVKNlRSHow6gFaQDa8Rsud1NlcmvD8eY2pkQowtEefXF+fYwOOL235TIZNjh8yOP5Njz3htvk+Kc84555xzLrNkw50U55xzzjnnXAZp05UUSbmS3pU0M+pY0kVSV0kzJL0vabmkU6KOKR0kfVfSUklLJD0tKT0/G5yBJPWT9Nfw818q6caoY0omqUDS25IWhjHeFnVMdYl7mSFpjaTFkt6TVBp1PKmUCXkM8c6ROJ8PoizDJZ0taYWklZJuaa39tpSkRyRtkbQk6liOVqYcz3XJlPNVNmjTlRTgRmB51EGk2T3AS2Z2AnAybfD1SuoL3ACMMbPhBD8M6j/6+bEq4F/MbCgwHrhe0rCIY0pWDnzOzE4GRgBnSxofcUx1yYQy47NmNqINDouZCXkM8c6RWJ4PoizDJeUCvwbOAYYBl8Q0r+ryGJCpv82RKcdzXTLlfNXmtdlKiqQS4Fzgt1HHki6SOgOnAw8DmFmFmX0UbVRpkwcUSsoDioAPI44nNsxso5ktCKf3EHwx6RttVIezwN7wYX74F6sOcdlQZsRZJuRxnHMkA84HUZXh44CVZrbKzCqA3wOTWmnfLWJmc4AdUcfRHJlwPNcnE85X2aLNVlKA/wS+D9REHUgafQLYCjwaNj/4raQOUQeVama2AbgTWAdsBHaZ2SvRRhVPkgYCI4F50UZypLCZzHvAFmCWmcUtxkwoMwx4RdI7kq6OOph0iXEexzlHYns+iLgM7wusT3hcRoZ8WW4rYnw81ysDzldZoU1WUiSdB2wxs3eijiXN8oBRwH1mNhLYB2RMe9umktSN4MrXIKAP0EHSZdFGFT+SOgJ/AL5jZrujjieZmVWb2QigBBgnaXjUMdXKoDJjopmNImi6cr2k06MOKNXimscZkCOxPR9EXIarjnl+VbyVxPV4bkycz1fZpE1WUoCJwPmS1hDc2v2cpCejDSktyoCyhBr+DIKTVFtzJrDazLaaWSXwHDAh4phiRVI+wYngKTN7Lup4GhI2QZlNvNpaZ0SZYWYfhv+3AM8TNGVpM2Kex3HPkTifD6Isw8uAfgmPS/Dmwq0i5sdzk8T0fJU12mQlxcx+YGYlZjaQoHPeq2bW5q68m9kmYL2k48NZnweWRRhSuqwDxksqkiSC1xmLDqFxEL4nDwPLzezuqOOpi6RjJXUNpwsJvrS8H21UH8uEMkNSB0mdaqeBs4CMG/WnPnHP47jnSMzPB1GW4fOBIZIGSWpH8Nm90Er7zlpxP54bEvfzVTbJizoA12LfBp4KC99VwJURx5NyZjZP0gxgAcGIIe/ivwKbaCJwObA4bEML8EMz+3OEMSXrDTwejrSTA0w3s9gN4RpzPYHng3M/ecDvzOylaENKqUzI47iL5fkgyjLczKokfQt4mWBUsUfMbGlr7LulJD0NnAEUSyoDfmJmD0cbVZNl8vHs56uY8F+cd84555xzzsVKm2zu5ZxzzjnnnMtcXklxzjnnnHPOxYpXUpxzzjnnnHOx4pUU55xzzjnnXKx4JcU555xzzjkXK15Jcc4555xzzsWKV1IynKQzJNU7frekKZLuTcN+p0jqk/B4jaTiVO/HtV2N5W4T1h8j6Vf1PLdGUrGkrpKuS9U+XduSXI41sNxjki5q4PnZksakODbPXVevVOVuE9b/qaQz65h/KB/D6Qmp2qdztbyS4pprCtBoAelcuphZqZnd0MhiXYHrGlnGZa8pxLcc89x1DZlCK+Sumd1qZn9pZLEzgAmNLOPcUfNKSiuQ1EHSi5IWSloi6WJJoyX9n6R3JL0sqXe47GxJ/ynpzXDZceH8ceG8d8P/xzcjjmMl/UHS/PBvYjh/qqRHwn2vknRDwjo/lvS+pFmSnpb0vfAKyRiCXzZ+T1JhuPi3JS2QtFjSCS1+41zkoszdMI+6KrBd0tfD+dMknZl0Ja+7pFfCfTwAKNzMvwODwzz9j3BeR0kzwrx+SpKO3LvLRJIGhp/r45IWhZ9zUV05W1c5JunWsGxcIunB5uSGpLMkzQ3LwmcldQznr5F0W3IZGZbLs8L5D0haq+CutOduFokid8Oy+blwepKkA5LaSSqQtCqcf+iuiKSzwxhfBy6sjRu4FvhuGMtp4eZPD8v7VfK7Kq65zMz/0vwHfBl4KOFxF+BN4Njw8cXAI+H07NplgdOBJeF0ZyAvnD4T+EM4fQYws4F9TwHuDad/B5waTvcHlofTU8N42gPFwHYgn6AQfA8oBDoBHwDfS4hzTMJ+1gDfDqevA34b9fvufxmfu/cD5wLDgfkJ2/4A6Ji4PvAr4NZw+lzAwlweWBtHwj53ASUEF2nm1h4T/pf5f+HnbcDE8PEjwL82krOJ5dgxCdPTgC+F048BFzWw39lheVkMzAE6hPNvTsjLOstI4F7gB+H02Z672fkXRe4CecDqcPrOsJydCHwGeDpxfaAAWA8MIbgIND2h/J1K+N0gYZ1nwzwdBqyM+v31v8z8y8O1hsXAnZJ+AcwEdhJ88ZoVXuzIBTYmLP80gJnNkdRZUleCSsLjkoYQFGT5zYjjTGBYwgWWzpI6hdMvmlk5UC5pC9ATOBX4bzM7ACDpT41s/7nw/zuEV1lcxosyd18jqOysBe4DrpbUF9hhZnuTLhSeTphzZvaipJ0NbPdtMysDkPQewZeD15sYk4u/9Wb2Rjj9JPBDGs7ZRJ+V9H2gCDgGWAo0Vu4lGk/wpeyNcF/tCCoTteoqI08FJgOY2Uueu1mtVXPXzKokrZQ0FBgH3E1QluYSlL+JTiCo0HwAIOlJ4OoGNv9HM6sBlknq2VAcztXHKymtwMz+Jmk08EXg58AsYKmZnVLfKnU8vh34q5lNDm+vzm5GKDnAKbWVjlph4VeeMKuaIDeOtilB7TZq13cZLuLcnQNcT3DX70cEX+Qu4siTZ337rk9due7ajuQ82EPDOQuApALgNwRXp9dLmkpw9fhoCJhlZpfU83xdZeTRlLOeu21bFLn7GnAOUAn8heAuSC7wvSbE15DEXPVmia5ZvE9KK1AwAsd+M3uS4Jbqp4FjJZ0SPp8v6cSEVS4O558K7DKzXQTNbDaEz09pZiivAN9KiGtEI8u/DnwpbJ/akaAZTa09BFfIXRsWZe6a2XqCZi9DzGwVQT5+j7orKXOAr4X7PgfoFs73PM0+/WvzE7gEeIv6czYxP2q/1G0Ly7vmtKN/C5go6bhwX0WSPtnIOq8D/xgufxaeu9ksitydA3wHmGtmW4HuBHdNliYt9z4wSNLghPhqea66tPBKSus4CXg7vD3/I+BWgkLkF5IWEvT7SBwZY6ekNwna5F8VzrsD+LmkNwiucjTHDcCYsFPeMoLObvUys/nAC8BCgmYKpQRtoiG42nK/Du8479qeqHN3HvC3cPo1oC91N2+5jaCj5gLgLGAdgJltJ2h6s0Qfdz52bdty4ApJiwiavfwX9efsY4TlGMGV34cImjj+kaB9/lEJv+RNAZ4O9/8WwRe+htwGnBXm7jkEzXn2eO5mpShydx5B8+454eNFwCIzO+yuiZkdJGje9WLYcX5twtN/AiYndZx3rsWUlIcuYpJmE3RAK406FgBJHcP2/0UEhdjVZrYg6rhc/MQtd132CZsTzjSz4RGH0mSS2gPVYf+AU4D7zKyxu9yujcnE3HUu3bw9q2vMg5KGEdxOftwrKM45l1L9gemScoAK4JsRx+Occ7Hgd1LaCElXAjcmzX7DzK6PIh7nmspz12UKSc8Dg5Jm32xmL0cRj3NN5bnrMpFXUpxzzjnnnHOx4h3nnXPOOeecc7HilRTnnHPOOedcrHglxTnnnHPOORcrXklxzjnnnHPOxYpXUpxzzjnnnHOx8v+HXs70aRMsEgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 804.75x720 with 20 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# graficamos cada una de las especies \n",
    "sns.pairplot(flores, hue='species')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "X = flores.drop('species', axis=1)\n",
    "y = flores['species']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.svm import SVC\n",
    "modelo = SVC(gamma='auto')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# entrenamos el modelo\n",
    "modelo.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['virginica', 'versicolor', 'setosa', 'versicolor', 'virginica',\n",
       "       'virginica', 'versicolor', 'versicolor', 'virginica', 'setosa',\n",
       "       'virginica', 'setosa', 'setosa', 'setosa', 'setosa', 'setosa',\n",
       "       'versicolor', 'versicolor', 'setosa', 'virginica', 'setosa',\n",
       "       'setosa', 'setosa', 'setosa', 'versicolor', 'versicolor',\n",
       "       'versicolor', 'versicolor', 'virginica', 'setosa', 'virginica',\n",
       "       'virginica', 'setosa', 'versicolor', 'versicolor', 'setosa',\n",
       "       'setosa', 'virginica', 'virginica', 'setosa', 'virginica',\n",
       "       'virginica', 'virginica', 'setosa', 'versicolor'], dtype=object)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predicciones = modelo.predict(X_test)\n",
    "predicciones"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<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",
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       "        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>species_test</th>\n",
       "      <th>species_predicted</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>virginica</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>versicolor</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>setosa</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>versicolor</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>virginica</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>virginica</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>versicolor</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>versicolor</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>virginica</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>setosa</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>virginica</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>setosa</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>setosa</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>setosa</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>setosa</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>setosa</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>versicolor</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>versicolor</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>setosa</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>virginica</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>setosa</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>setosa</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>setosa</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>setosa</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>versicolor</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>versicolor</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>virginica</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>versicolor</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>virginica</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>setosa</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>virginica</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>virginica</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>setosa</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>versicolor</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>versicolor</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>setosa</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>setosa</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>virginica</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>virginica</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>setosa</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>virginica</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>versicolor</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>virginica</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>setosa</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>versicolor</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    species_test species_predicted\n",
       "101    virginica         virginica\n",
       "54    versicolor        versicolor\n",
       "11        setosa            setosa\n",
       "64    versicolor        versicolor\n",
       "118    virginica         virginica\n",
       "102    virginica         virginica\n",
       "61    versicolor        versicolor\n",
       "85    versicolor        versicolor\n",
       "107    virginica         virginica\n",
       "3         setosa            setosa\n",
       "109    virginica         virginica\n",
       "30        setosa            setosa\n",
       "37        setosa            setosa\n",
       "44        setosa            setosa\n",
       "22        setosa            setosa\n",
       "35        setosa            setosa\n",
       "86    versicolor        versicolor\n",
       "67    versicolor        versicolor\n",
       "47        setosa            setosa\n",
       "149    virginica         virginica\n",
       "36        setosa            setosa\n",
       "45        setosa            setosa\n",
       "16        setosa            setosa\n",
       "42        setosa            setosa\n",
       "74    versicolor        versicolor\n",
       "66    versicolor        versicolor\n",
       "106    virginica        versicolor\n",
       "55    versicolor        versicolor\n",
       "127    virginica         virginica\n",
       "4         setosa            setosa\n",
       "133    virginica         virginica\n",
       "123    virginica         virginica\n",
       "27        setosa            setosa\n",
       "94    versicolor        versicolor\n",
       "57    versicolor        versicolor\n",
       "34        setosa            setosa\n",
       "21        setosa            setosa\n",
       "114    virginica         virginica\n",
       "130    virginica         virginica\n",
       "10        setosa            setosa\n",
       "134    virginica         virginica\n",
       "83    versicolor         virginica\n",
       "116    virginica         virginica\n",
       "1         setosa            setosa\n",
       "58    versicolor        versicolor"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# comparamos resultados\n",
    "dicc = {'species_test':y_test, 'species_predicted':predicciones}\n",
    "pd.DataFrame(dicc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# comprobamos precisión y maytriz de confusión\n",
    "from sklearn.metrics import classification_report, confusion_matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "      setosa       1.00      1.00      1.00        18\n",
      "  versicolor       0.92      0.92      0.92        13\n",
      "   virginica       0.93      0.93      0.93        14\n",
      "\n",
      "    accuracy                           0.96        45\n",
      "   macro avg       0.95      0.95      0.95        45\n",
      "weighted avg       0.96      0.96      0.96        45\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(y_test, predicciones))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[18  0  0]\n",
      " [ 0 12  1]\n",
      " [ 0  1 13]]\n"
     ]
    }
   ],
   "source": [
    "print(confusion_matrix(y_test, predicciones))"
   ]
  }
 ],
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