{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Simple Univariate Time Series Anomaly Detection"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## boilerplate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "\n",
    "import copy\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "from pylab import rcParams\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import rc\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import accuracy_score, confusion_matrix\n",
    "\n",
    "from torch import nn, optim\n",
    "\n",
    "import torch.nn.functional as F\n",
    "import random\n",
    "import datetime\n",
    "# from arff2pandas import a2p"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<torch._C.Generator at 0x7ff27834c5b0>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "%config InlineBackend.figure_format='retina'\n",
    "\n",
    "sns.set(style='whitegrid', palette='muted', font_scale=1.2)\n",
    "\n",
    "HAPPY_COLORS_PALETTE = [\"#01BEFE\", \"#FFDD00\", \"#FF7D00\", \"#FF006D\", \"#ADFF02\", \"#8F00FF\"]\n",
    "\n",
    "sns.set_palette(sns.color_palette(HAPPY_COLORS_PALETTE))\n",
    "\n",
    "# rcParams['figure.figsize'] = 12, 8\n",
    "\n",
    "RANDOM_SEED = 42\n",
    "np.random.seed(RANDOM_SEED)\n",
    "torch.manual_seed(RANDOM_SEED) \n",
    " \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import polars as pl\n",
    "from io import StringIO\n",
    "import math\n",
    "df = pl.read_csv('../data/battery_1.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We only need 'PACK1_CRIDATA_BATT_VOL'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## visualize fault and non-fault regions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "filter_condition =  df['PACK1_CRIDATA_BATT_VOL'].cast(pl.Float32) != 0\n",
    "voltage_data = (df['PACK1_CRIDATA_BATT_VOL']\n",
    "                .filter(filter_condition)\n",
    "                .cast(pl.Float32))\n",
    "\n",
    "def convert_values(values):\n",
    "    numerical_values = []\n",
    "    for value in values:\n",
    "        if value == 'False':\n",
    "            numerical_values.append(0)\n",
    "        elif value == 'True':\n",
    "            numerical_values.append(1)\n",
    "        else:\n",
    "            # numerical_values.append(np.nan)\n",
    "            numerical_values.append(-1)\n",
    "    return numerical_values\n",
    "\n",
    "\n",
    "fault_data = convert_values(df['BATT_PACK_1_FAULT']\n",
    "                            .filter(filter_condition))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'fault incidents')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1000x600 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 537,
       "width": 852
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "fig, axs = plt.subplots(nrows=2, ncols=1, figsize=(10,3 * 2))\n",
    "\n",
    "axs[0].plot(voltage_data)\n",
    "axs[0].set_title(\"voltage\")\n",
    "axs[1].scatter(range(len(fault_data)), fault_data)\n",
    "axs[1].set_title(\"fault incidents\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Train region: 145000-end\n",
    "\n",
    "Test region: 45000-60000"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "train_voltage_data = voltage_data[145000:]\n",
    "test_voltage_data = voltage_data[85000:100000]\n",
    "val_voltage_data = voltage_data[120000:135000]\n",
    "fault_voltage_data = voltage_data[45000:60000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_voltage_data = voltage_data[100000:]\n",
    "test_voltage_data = voltage_data[60000:85000]\n",
    "val_voltage_data = voltage_data[85000:100000]\n",
    "fault_voltage_data = voltage_data[0:60000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'fault incidents')"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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SaW8Knnzyydi8eXOzel5jyKWBAwemlTdt2pSxnrFqrNK9kslk2kbMQ4cOzVjPWDVW2bbq6+vjkksuSW2cfumll6YtnZstY9VYJT8Yq8YqXef2229P3R40aFBaINIZxmnfGadCKmjk5ZdfjpqamlR58uTJWZ03ZcqUtHJFRUVXdgvyUuOlxbIdS6NGjYpRo0alygsXLsxYr/Hx0aNHt7rGcWON+5FN2xHNx3c2bdfU1MQrr7zSrI7XGHJp6dKlaeXGMzUaM1aNVbrXM888k/Yhdp999slYz1g1Vtm2fvWrX6WW2zzyyCPj0EMP7VA7xqqxSn4wVo1Vuk7jJfn23XffLplFFWGc9qVxKqSCRl566aW0cuN0vDVjx46NwsLCVPnll1/u0n5BvqmsrIx169alytmOpaZ1m47JLRqPsWyupMnU9rp162LFihXN6jS+z6KiolbXO26p7abttHTMawzbUuMlAIqLi2PPPfdsVsdYNVab+uc//xkXX3xx/Od//mdMmzYtJk2aFOXl5VFeXh7HH398d3evyz355JOp36+8vDzuvPPOnN7/6tWrY9asWany8OHD0x7niy++ONW33jxWly5dmvbvcN11122Tsbrl8TziiCPSjufjWKVrLV++PL7//e9HRMNM5JkzZ3aoHX9X/V1l2/vFL34RJ554Yuy3336x1157xQEHHBAf+tCH4pJLLokHHnigxf1nGjNWjVW6zvr169PClC2hyfr16+PWW2+NT33qU3HwwQfHXnvtFQcffHCcfPLJ8aMf/SgqKytbbdc47VvjtOUdtaAPanrV+ejRo7M6r7CwMEaOHBlvvvlmRLS87wf0FR0dS03rNm0n0/Fs/9hn6seSJUti5MiRLbY9cuTItD/irWnaj0yvA15jyJUFCxbE448/nioffPDBGdfANlaN1S2qqqrioosuij//+c/d3ZVeb8OGDbFkyZL4+9//HjfffHNqLfySkpL43ve+1+Z69RHGaqa2M/UnW/k0Vtk2Zs2alZrR+KUvfSnrq6mb8nfV31W2vaZ7wKxevTpWr14dCxcujN///vex0047xSWXXBIHH3xwi20Yq8YqXWfBggWRTCZT5Z122imefPLJuOiii1LPiS3eeuuteOutt2LOnDnxk5/8JGbMmNHi/o/Gad8ap2ZSQSPr169PK7e0J0Amjb9QaLxkC/RFnRlLQ4YMSd2ura2NqqqqtJ9v3rw5tVdA0/rtaTsi81ht3Pf2tN30S8W22o7wGsO2UVtbG//zP/+TdhXp2WefnbGusWqsbnHllVcKqNqQabZPNhrPhiovL4+pU6fG8ccfH9/73vdSAdWee+4Zv/71r7NaCz/CWM3UdkT7Hpe22u4tmj7/aO6vf/1ranPySZMmxSmnnNLhtvxd9XeV3Bg4cGCMGTMmRowY0ezL3//P3p3HR1Hk/x9/J5OLnBAgAZIAIhpgAQEJCooHsLIqixfqKsKq4BdwxXNVvG/BA29FRTxAVtcbXHRVRBEWRJAbNFxyJEK4CUkIueb3R360M8nMZCbp6ZnMvJ6PBw+mJtXV1dVV3T3zma7eunWrrrvuOr355ptul2esMlZhngMHDjilt2/frtGjRzsFqJo1a6aWLVsqMvKPUERpaameffZZ3XXXXS7LZZyG1zjlTirAgeNDqyX59KBcx/lWa5YDhJuaYyAmJsbrZWuOu+LiYqf3GjJOa+Z1NVYd36vvMcCbshtSPscYeDJ58mTjmRqSdPnll6tbt24u8zJWGatS9TRX//73v410SkqKbrjhBvXu3VtJSUnGg3ijo6MDVcWQFRERoUsvvVS33XabmjZt6vVyjFXX7/lSfl1lIzwUFRXp0UcflVQ9Hh966CGvf+3sCudVzqvwj5iYGA0ePFgDBw5Ur169nO52LCkp0dKlS/X2228bMwlUVVXpiSeeUHp6us4///xa5TFWGaswT2FhoVP6hRdeUHl5uWw2m6655hqNGDHCeEbUoUOH9Nlnn+n55583giSffPKJunbtquHDhzuVwzgNr3FKkApwUDOy7suXMY4Hy9LSUtPqBDRGZo0lV2WZWbarsepYvj/Lbkj5HGPgzmeffeb0q9H27dtrwoQJbvMzVhmrUvW0OY6/JHzsscdqPbMH9de8eXNjrviqqioVFRXp4MGDkiS73a4PPvhA//nPfzRu3DiNHj3a6Rem7jBWa5fta/l1lY3wMHnyZOOZGJdddpnXDx93h/Mq51X4x/z585Wamuryb/Hx8TrzzDN15pln6u2339bEiRONvz388MM688wzlZiY6LQMY5WxCvMcOXLEKV1eXi5JevLJJzVkyBCnv6WkpOjvf/+7Tj75ZF111VXGss8995wuuOACp7HKOA2vccp0f4CDmtHnYwdWb5SVlRmva0a+gXBj1lhyVZaZZbsaq47l+7PshpTPMQauLFiwQPfee6+Rbtq0qV5++WXFx8e7XYaxyliVpHXr1hmvo6OjddZZZwWuMiHo9ttv1zfffKNvvvlG3377rZYsWaLFixdr0qRJOv744yVV/5Jx8uTJtaY7mTRpknJzc/Xcc885vR9qYzUzM1O5ubnGv/Hjx/t9rNZVNkLfypUr9f7770uSUlNTddtttzW4TM6rnFfhH+4CVDVdffXVGjlypJE+ePCg3nvvvVr5GKuMVZjH1Z08Q4YMqRWgctS1a1ddf/31RrqwsFCzZs3yWC7jtHbZDSk/2MYpQSrAQc0v8mpGpz1xjEB7+kIQCAc1x0DNE60nNcddQkKCx7J9Gac187oaq47v1fcY4E3ZDSmfYwxqWr58ucaPH29coMbHx+v1119Xx44dPS7HWGWsStUPHD+mWbNmTOtngdTUVF100UX67LPPNHjwYOP9zz77TB988EGt/IxV88dqXWUjtFVUVOi+++4znt9455131vuZZo4Yq5xXEXg33HCDU1/5/vvva+VhrDJWYR5X+9ub5zteccUVTp87fvzxR4/lMk5dvxcq45QgFeCg5i3ghw4d8npZxzlYax78gHDTkLHkmDcqKqrWr0Ti4uIUFfXHbLU15z/2tmzJ9Vh1rLsvZdfMW1fZrurjbfkcY+Bo/fr1+r//+z9jqoSYmBi98sorOumkk+pclrHKWJWcH5pLgMpaMTExevLJJ5WRkWG8N2XKFOOL82MYq+aP1brKRmh78803tWHDBklSnz59dOGFF5pSLmOV8yoCLyUlRTk5OUZ61apVtfIwVhmrME/NftOkSRO3z0R2lJSUpE6dOhnpX375xWO5jNPaZbuqj7flB9s45ZlUgIPMzEyn9M6dO5WVlVXnchUVFdqzZ4+R9mYZIJS5GkvecsxbsxzH97du3SpJ+v333+tVtuR6rDquc/fu3aqsrPTqAdo161FX2cfqwzEGDbF582aNGjVKhw8fllR9Af7cc8+pb9++Xi3PWGWsmqWsrEwbN27Uli1btG/fPpWUlCghIUHNmjVT586d1bFjR0VERAS6mkEpLi5OF198sV588UVJ1X10w4YNTh/azRqrzZo10/Tp03X06FGlpqaqe/fuOuGEE0wbq7m5uVq/fr2KiorUpEkTtW7d2unuFH+P1ZkzZyo1NVXNmzdXZmamTj75ZKcvINzxZazu3btXK1eu1J49e3To0CElJSWpZcuW6t27t9fTUXmjqqpKK1as0Pbt27Vnzx7Fx8crIyNDOTk5tb6csMr+/fu1fv16bd++XUVFRaqsrFSTJk2M9s7Ozg66X+W6smfPHr388suSqgPzDzzwgGllc17lvIrg0K5dO+N1eXm5CgsLlZycbLzHWGWswjw1+01aWppXfVKSWrdurTVr1kiSDhw44LFcxmntso/VJxTGKUEqwEGHDh2c0tu2bVOfPn3qXC4/P1+VlZVuywHCTXp6uhITE1VUVCSpeix5a/v27cZrd2PpuOOOMy4mHPP7UnZiYqLS0tJq5XFcZ0VFhfLz840H3nuyY8cOt+W4e49jDBpi+/btuvrqq42p2iIjI/Xkk09q4MCBXpfBWA3PsZqXl+e2n+Tn5ys7O7vW+xkZGZo3b57Te/v27dOXX36pb7/9VsuXL/f48N3U1FQNHz5cI0eOdPqSyBPHelx00UWaNGmSV8stWbLE6XkUEydO1MUXX+zVsq6MGDFCP/30U633X3rpJb300ksul3HVXp44BqSk6j7XqVMnTZgwQZ9++mmt/K7Gas28ubm5kqQtW7YY7+3Zs0ePPfaY03IdOnRQUlKSkfZlrB67E+WYhx56yGN+d2O1Zp+84YYb1KpVq1r1rKlmOW+99ZZTumXLlvrb3/6m//u//6v1IOq6ynZkt9v15Zdfatq0aVq3bp3sdnutPBERETr55JN1yy23qHfv3h7Lk1xv8/jx42W32/XOO+/onXfecfmFSXR0tC699FLddNNNatq0qcuya44BR67G9zHuxsrSpUs1ZcoULV68uNZdfo5sNpu6dOmic845R9dee61XAcJA2Lt3r3G8ioiI0Lhx4zzmdzyuS9KMGTM0e/ZsI/3QQw+pX79+kjiv1izH3Xuhdl5F8GnSpIlTurS01On6g7HKWIV52rVrp+joaGPqeU/XXDU55q05bR3jNLzGKdP9AQ46dOjgNM2Nq9vCXVmxYoVT+sQTTzS1XkBj5DgOvB1Lu3btUkFBgcsyHDl+wVJzGU9WrlzpU9k1l/HE8TgQHR2t4447rlYejjEwy86dO3X11Vdr9+7dkqq/ZHvkkUd0/vnn+1wWY5WxWl+XXXaZHnnkES1atMhjgEqqvgPjxRdf1IUXXqhff/3Voho2HjU/zNf8Urwmb/vk+++/r3379nnMs2XLFuMXrJL3Y3XmzJmaO3euV/VwZNZYPXDggO6//36PZezZs0cvvviihg8f7nEqFE9jdc+ePbriiit0yy23aO3atS4DVFJ1IGvZsmUaPny4Hn/8cbf5PDl8+LBGjx6tiRMnuv1Fb3l5uf71r3/pyiuv9PqY2hDPPvusrrrqKv3vf//zGKCSqvvtmjVrNHnyZJWUlPi9bmYoKyvT9u3bPf7Lz893WubQoUNOf6+5rZxXOa8i8Pbu3euUdhXUZ6wyVmGOqKgop2ch13daPsZpeI9TglSAgyZNmjjNXbxo0SKvPmAuWrTIeB0fH+/VryeBUHfGGWcYr7dt21brFyGuLFy40Cl95pln1lm2JP3vf/+rs+wdO3Y41cFd2b1793aaqsZxfLtjt9udHvLZp0+fWr/ekzjGwBx79+7V1Vdf7fSl2T333KNhw4bVqzzGKmO1vmq2SevWrdWvXz/95S9/0ZAhQ9S/f3+lp6c75cnPz9ff//53S75cb0xqfgneokULj/m9GatLliypdWfTySefrCFDhqhXr14e73Kpa6xOnDhRDz/8cK0+kJGRof79+2vIkCEaMGCAsrOza01tYsZYLSkp0ahRo2oFPCMjI3XGGWfovPPOc9rG1atX65ZbbnE5jj2N1e3bt+vyyy+v9aE+LS1NZ5xxhoYMGaKzzjpLLVu2dPr7O++8o3vvvbfO7XRUWVmpm2++2Ti+xsXFqU+fPjr//PM1cODAWmNp8+bNmjBhgk/r8NWHH36oV1991em9mJgYnXTSSRo8eLCGDh2qQYMGqWfPngGbgjAYcV7lvIrAW758ufE6LS3N5Z0djFXGKsxz1llnGa93795d54+kjnG8lnM1LR/jNHzGKUEqoIZBgwYZr/Pz87V48WKP+Q8fPqyvv/7aSPfv39+nW1uBUOU4liTpo48+qnMZxzzNmzdXjx49XObr2bOnmjdvbqQ//PBDn8qW5Haqq5iYGPXv399I//e//zWe9+POokWLnL5g9DTdGscYNMTBgwd1zTXXGNMSSNKtt96qESNG1LtMxqproTxWW7VqpW+//db4d9JJJxl/S09Pd/rbsX//+te/apUTERGh008/XRMnTtTixYv1/fff66233tLzzz+vyZMn64033tAPP/ygDz74wGkKioMHD+q+++6zZFvN8Mwzz+jbb7/VzJkznd4fOXKky7Zy116efPPNN8brqKgor37ZWNdYvfHGG53ufGnevLneffddTZ48We+9957mzp2rU045xeWynsbqBx98oLfffrvW+y+99JLmzZunN954Q5MnT9aUKVM0e/ZsLV26VN27dzfyeTNWd+zY4XGsPvfcc1q3bl2t5aqqqnTNNdfo2Wef1Xvvvaf58+dryJAhkqq/eHA1BaO7sVpWVqbx48c71aN379567733tGDBAk2dOlWTJ0/Wa6+9poULF+rll192CiR99NFHTlPC1eW9997TwoULFRsbqzvuuENLlizRjBkz9Mwzz+iVV17R/Pnz9fjjjzv9cnbRokWaP39+rbJ69Ohh9MXBgwc7/c1dn62Zt7KyUs8995yRjoqK0q233qoff/xRH3zwgV544QU99dRTevnll/X+++9r2bJl+uSTT3T99dfXCtoFm86dOys3N9frf99++63T8jfccIPT32ueRzmvuhbK51UEl8WLF+u3334z0sem46yJseoaYxX1cc455zil//vf/9a5zM8//+z0jCRXU9YxTl0LxXFKkAqoYejQoU4PeH766adVUVHhNv9zzz2nI0eOGGl3878D4eaEE07QqaeeaqSnT5/u8WGUX3/9tdMvlYcPH67ISNenqcjISF155ZVGevny5U5f8NWUn5+v6dOnG+lTTz1VJ5xwgtv8jl/4HzlyRM8//7zbvBUVFXr66aeNdNOmTTV06FC3+TnGoL6Kiop03XXXOT0DZuzYsRozZkyDymWsuhbKYzUqKkqZmZnGv9jYWLd/O/av5vOBpOrnskybNk0XX3yxUlNT3a7vpJNO0ttvv+30Bfj8+fO1efNmczfMT1q2bOmyDZKTk2u1U4sWLdSmTRuX7eXOF1984fTLzVNOOcXts4Z8GasHDx50Stccq61bt9brr7/u8qHJ7sbqrl279Oijj7qs15///GeX9UhISNAdd9xhpOsaq5LzLz1rjtUtW7bo3XffNdKxsbFKSEgw0o5jtUWLFpo8ebKGDx8uSSosLKy1Lndj9cUXX3T6de+wYcM0Y8YM9erVy2X+QYMG6cMPP3QKVD311FPG8xnqcvDgQcXExOjNN9/UqFGjFBcX5/T3iIgIXXLJJbUCvJ988kmtsmJjY40+6fgrXkkux/exf47tuHbtWqfpsq6//nqNGTPGKU/N+v3pT3/STTfdpHnz5oX1nVWcV10L5fMq/KeioqLOKXAd7d+/v9Zx8oILLnCZl7HqGmMV9dGlSxenINNrr73m8rrrmKqqKk2ePNlIR0REuOyXjFPXQnGcEqQCakhKStLo0aON9Lp16zRhwgSXHzBnzJjh9Kva/v37B93tkkAg3XLLLcbrkpISjRs3zniGjqNly5bpnnvuMdLNmjXT1Vdf7bHsq6++Ws2aNTPS99xzj37++eda+QoKCjRu3Din5wU41suVnJwcnX766Ub63XffdfpC7JiysjLdeeedWr9+vfHeqFGjnB5AXxPHGNTH0aNHdf3112v16tXGeyNHjqyzL3uLsVobY7Vubdq08TqvzWbTgw8+6PSLvS+++MIf1QqoVatWaejQofrss89UXFzsMe/Ro0f12muvOQVwIiMjdfPNN7tdxtuxKlV/2D/G3ViNi4vTdddd53J5V2P1zTffrPVQ65r1csXbsXqMY3Ck5lj997//7fSF5dixYzV27Fgj7WqsTpgwQe3bt6+1HndjtaioyOluuM6dO+vhhx92+yXHMenp6Xr44YeN9O7du736JfEx48ePr/PYcemllzoFwpYuXep1+b6o+QWQuyCkKzExMXW2VajjvFob51XUx65du3Tuuefqww8/rPMuhJ9//lmXX36501Rcp512mts7qSTGqiuMVdTXP//5T+P6s6CgQGPGjKn1fDipOmBz5513Oo2H8847z+m5Vo4Yp7WF4jiNsNfnia5AiCsvL9eoUaO0ZMkS472MjAz99a9/VWZmpvbv36+5c+c6fVnYsmVLffTRRz79chYIBtOnT9eMGTNqvb9v3z6nL9jatm1bK0+rVq1cLuvo2WefdXqeQUJCgi644AKdeOKJOnr0qJYtW6Zvv/3WmJLIZrPptddec7o12p0FCxZozJgxxpdVNptNgwYNUq9evRQTE6Pc3FzNnj3b6UJi3LhxHr8APGbXrl0aNmyY0+3nJ510kgYNGqRmzZopLy9Ps2bN0s6dO42/n3rqqXrjjTecpuJxhWMMfPXZZ5/pzjvvdHovKyvL6Uvoupxzzjm6/fbb3f6dsVpbuIzVESNG6KeffpJUvX2upkQzy8iRI4327N+/v9544w23eR0fOHzRRRdp0qRJXq1jyZIlTr8OnDhxoi6++OIG583Ly3OaduOGG27Q+PHj3ZYXFxenHj16qEuXLkpPT1dSUpIqKyu1f/9+/frrr1q4cGGtL9wmTJiga665xin96aefGunc3Fy3Y3XdunUuH5xc11jdtWuX03z6ERERxrz2jmM1KipKkyZNqvXh14yxKsnp17THuBqrp59+ulFGkyZN9L///U8xMTF1jtUPPvhAeXl5TuXPnz/f5VidOXOmU7Dp5ZdfrjXdjCeDBg0yviQdMmSIy22r2Z/i4+O1YMECr+5Auueee5ymm1m4cKHbKfZc9SFvfPnll077dfr06W6nhwx13ox9Vziv1hYu51WYx3H8xcTEqFevXurcubNat26txMRElZWVaefOnVq8eLFTv5GqP7/++9//9ni3t8RYdYWxivp65ZVXnO4YSkxM1HnnnafOnTsrKipKv/32m+bMmeP0fNqsrCx98sknSk5Odlsu47S2UBunBKkANw4dOqQxY8bUelCyK2lpaZoyZYq6du1qQc0Ac7344ot66aWX6rWsN19m2u12Pfjgg3r//ffrLC8mJkYPPfSQ2y8IXfnkk0/0wAMPqKysrM68f/vb3/Tggw96/cX+2rVrPf5K3VHPnj312muvOd1y7QnHGPjik08+0V133dWgMur6kp+x6lo4jFWzg1RlZWUqKirSkSNHaj3Ed+LEiZo7d65X62rsQSpfJCUl6a677tIll1zi9L6rAIM/xmrPnj2ND95/+tOftHHjxqAcqzt27HAKFg0ePFgvvPCCJN/G6jHuAjY33nijvvrqK0nVgbCffvrJp3n7Hfebu35esz+ddtppevPNN70qf9q0aXryySeN9OzZs53Gi7u6SN4HqX799VenKbJycnL0xhtv1JqGMBzUN0jFedW1cDivwjw1x5+3TjnlFD311FNOd566w1h1jbGK+nryySf15ptv1voc4Ep2drZee+01tW7d2mM+xqlroTROw/sefMCDlJQUzZw5U7feeqvbXybGx8dr2LBh+vzzz4N2kAOBFhERoYceekgvvfSS2wfBR0ZG6rTTTtPHH3/s04WEJF188cX6+OOPddppp7mdWubEE0/USy+9pIceesinO0+6du2qzz//XMOGDav1TIdjWrZsqVtvvVUzZ870+kJC4hiD4MNYdY2xWreCggJNmzZN1157rU477TR169ZNffv21YABAzRw4ECnf8cCVJLr5wM1dtnZ2brtttuUk5Pj9Kwvd1q3bq2xY8fqyy+/rBWgcsebsSpVf0Hn7Vh1vHsnJSWlzrEqSZdddplfxqpU/QtSV2P1l19+qVWeY73rGqve1nX58uXG68zMTO3evVt5eXle/3Pc97///rtXz1Pp0KGDV3WTVGv6l6KiIq+X9VZ2draOP/54I7106VL95S9/0SuvvKJNmzaZvr5QxHnVNc6r8EXTpk01YsQIdevWrc67CiIiItSrVy89++yzevvtt70KUB1bjrFaG2MV9XXHHXforbfeUo8ePdzmSU1N1W233aZ///vfdQaoJMapO6E0TrmTCvBCZWWlli9frm3btmnfvn1KTk5W69atlZOT4/bhwQBcy83NVW5urnbv3q3o6Gilp6erZ8+eXn+I8KSgoEArVqxQQUGBysvLlZaWpuzsbLe/LvZFcXGxli5dqp07d6qwsFDNmzd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",
      "text/plain": [
       "<Figure size 1000x600 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 537,
       "width": 852
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# fault region\n",
    "fig, axs = plt.subplots(nrows=2, ncols=1, figsize=(10,3 * 2))\n",
    "\n",
    "axs[0].plot(fault_voltage_data)\n",
    "axs[0].set_title(\"voltage\")\n",
    "fault_incidents = fault_data[45000:60000]\n",
    "axs[1].scatter(range(len(fault_incidents)), fault_incidents)\n",
    "axs[1].set_title(\"fault incidents\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7ff17067c890>]"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 570
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# test region\n",
    "plt.plot(test_voltage_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7ff1704bb790>]"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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V01Dgxx57TOnp6bXqJScna/ny5caiYi6Xy9Qvd3bu3KkPPvjAKI8ePVpjxoypVS82NlZPPvmkLr74YmPbiy++qNOnT3ttPxiUlJRo7ty5kqSYmBg9+OCDPrdBfIPDvn379H/+z/8xyrfccouWLVvm9VulZs2aacSIEV6/KSS+gbdu3TpT+YknnlCPHj3c1k1ISNDSpUvVrl07Y9v69es9DtMnvs4YM2aMnnzySb3zzjvauXOnVq1apQceeMAvi7oSs9oCcW3oVIxvvfVWbdy4UfPnz/f4PpekNm3aaMWKFab1hd59911lZ2d7bZ8Y2+Pke9iTBQsW6OTJk5KkBx54QM2aNfO5DeKLmkjQwHFvvfWWfvrpJ6M8c+ZMr0Pm/ud//kdNmzY1ylYXJ41Rly5ddOedd9peS6ZLly4aNmyYUT569Ki+/vprt3UPHjyojz76yCiPHTvWawLoF7/4hXr37m2UX331VWOIdk1VVVWm+fe9e/fWDTfc4LHtDh06aOzYsUZ5x44dOnjwoMf61YeSNm3aVNOnT/dYNzo6Wg888IBR/umnn0zTTILVM888o5ycHEnShAkT1LlzZ5/2J77B49FHHzXWnElJSdG8efMUERFRrzaJb3D48ssvjcdt2rTRdddd57V+06ZNNXToUKNcVFTk9kMb8XXOQw89pFtuuUU/+9nP6v0+rI6YuReIa0OnYvzAAw/YvvtW06ZNNWXKFNO26h+gayLG9jkVX0+2bdum9evXS5L69u1rus62i/jCHRI0cNzmzZuNxx06dNCVV17ptX6LFi30i1/8wih/+OGHlgt+wdoVV1xhKnv6xmbTpk2mcvW1bjypXqegoECff/6523p79uwx3d3gt7/9rU9tS+bXU3VlZWX68MMPjfKNN96oFi1aeG37yiuvVIcOHYzyli1bLPsTSF999ZXxBy0lJUWTJk3yuQ3iGxz2799vOo7Tpk2znXD1hvgGh+prynTs2NHWPjXvylVzAXCJ+IYiYuZeY7427N+/v6nsbQQNMQ7OGBcXF2vevHmSzo5mdrcGjR3ENzjjG2gkaOCo0tJSffLJJ0b5qquuspXVrr4oXlFREcPg/KDmsMvqC9VVt23bNuPxBRdcYOsOAwMGDPDYhrftNfdzJyUlxfTBxVPbO3fuVFFRkVG2s7BiRESE6Q/Kxx9/rNLSUsv9AqGqqkoPP/ywsYDcnDlzTNPW7CK+wRHftWvXGo+bN29uumipD+IbHPGtfhHs7nam7tQ8JycmJtaqQ3yDI76+IGa1Y9bYrw1rXo95O0cQ4+CMcfXRzOPGjTNNW/MF8Q3O+AYaCRo46ptvvlF5eblR7tmzp639evXqZSr7e8X1xuj77783lVu3bu22XvWpT3bj1a5dO9P6CVlZWW7rVd/evn172yu4V++Hnbal2q8hO22Xl5fr22+/tbVfQ3v11VeNVfB/8Ytf6Nprr61TO8Q3OOJbfcpD3759/TJ6RiK+wRLf6v0/dOiQTpw4YbnPxx9/bDxu06aN23UTiG9wxNcXxKx2zBr7tWHN67HzzjvPY11iHHwx3r9/vzGauUOHDpo6dWqd2yK+wRffYECCBo46dOiQqVxzCLcnHTp0MN0G+ptvvvFrvxqj6kMRY2JidOmll9aqk5eXp1OnThllu/GqWbdm3M+pHkc73yK6a/vUqVOmWwW6e87o6Givc/w9tV2znWCRm5urp59+WtLZb95mz55dp3aIb3DE9/Tp06YLnnMXNqdPn9bq1at122236eqrr1b37t119dVXa9SoUXruueeUl5fntV3iGxzxlaQRI0YYf8MqKir05JNPeq2/fft2vf/++0Z5/Pjxtb6NJL7BE1+7iJn7vjf2a8Oa094uv/xyj3WJcXDFuLKyUg899JCxftzs2bNN66r4ivgGV3yDBQkaOKrmtwTt27e3tV9UVJRpwTWrFe7h3YEDB7Rjxw6jfPXVV7udh1rXeNWsW7Mdd9vt/qFw1w93r4fqbbdt29b0B8Cbmv0IxtfavHnzjGGq99xzj+1vWGoivsER3wMHDsjlchnlCy+8UB9//LFuuukmzZ8/X5999pl++OEHlZeX64cfftDOnTu1dOlS3XDDDVq+fLnHdolvcMRXklJTU3XPPfcY5XXr1mnSpEnau3evKfb5+fl69tlnNXnyZGP7wIEDNW7cuFptEt/gia9dxMy6bXf98SQcrg1LS0v12muvGeXExESva3cQ4+CK8apVq4xF4AcNGqRBgwbVqz3iG1zxDRael1oG/KDm7dlatmxpe98WLVro2LFjkmSaQwnfVFRU6KGHHjLdBcLTcMz6xCshIcH0nGfOnDGtkVJaWmqsn1Kzvi9tS+5fD9X77kvbNRNVwfZa27Bhg7FIW7du3dzeHtEu4hsc8f3xxx9N5SNHjmjmzJmmxfISExMVHR2t48ePG+/d0tJSLVmyRN99952eeOKJWu0S3+CI7zmTJk1Ss2bNtHjxYhUXF2vr1q3aunWr4uPjlZiYqJKSEtPUp7i4ON1+++2aNm2a2wtp4htc8bWDmFm3LTWua8MlS5YY/Zek3//+925vSywRY09tB8rRo0e1dOlSSWfviPTQQw/Vqz3iG1zxDSaMoIGjai585suiptXXZLC7yCJqW7RokbF2iSSNHDlSl112mdu6NY+zp4sGd2rGtuZJtz6vhZp13b0eqm+r6+vMU9uBcvr0aS1YsEDS2YXb5s2bZ/sbEHeIb3DE9+TJk6byM888o7KyMkVFRemuu+7Stm3b9J///Efbt2/Xf/7zHz344IOmRSX/8Y9/mG7LeQ7xDY74VjdmzBht2rRJQ4YMMbYVFxcrJyfHlJzp3Lmz/vrXv+q+++5TTEyM27aIb/DF1woxs267Pu2H2uthy5YteuWVV4xyamqqRo8e7bE+MQ6uGM+fP9/oz9SpU30a8eIO8Q2u+AYTEjRw1JkzZ0xlTxee7lS/kAnFOzcEg3Xr1unll182yhdeeKFmzZrlsb6/4uWuLX+27e71UL19f7cdKIsWLTLWHRkxYoTtRdg8Ib7BEd+ad+s5t9Den//8Z82cOdO0OGjLli11++23a+XKlaZ57k8//XStb7CIb3DEt7qNGzfqtttu0zvvvOO13rfffqtRo0ZpypQpbtcSkIivp7aDGTGzbrs+7YfS6yErK0szZ840pjLGxsZq0aJFXpN2xDh4Yvzuu+9q69atkqSuXbu6nYbqK+IbPPENNiRo4KiaGdXqK35bqT7c3193OGlMPvzwQ9Pwy1atWunZZ59VfHy8x338FS93bfmzbXevh+rt+7vtQNizZ49ef/11SVJSUpLuv//+erdJfIMjvu6+abrpppt00003edyne/fumjJlilE+efKk3nrrLa/tEt/AWrJkie6++24dPnxY0tnFoJcsWaIPPvhAX3zxhT799FOtXr1at956q6Kjz84437x5s37zm9/oyJEjtdojvsEVXzuImXXb9Wk/VF4PR48e1YQJE4ykekREhB5//HGlpqZ63Y8YB0eMT506pccee0zS2djNnTvXp4SEJ8Q3OOIbjEjQwFE1kwE1M67eVM+qeksqoLZdu3Zp2rRpxgkzPj5eL7zwgi666CKv+9U8zjVP0t7UjG31KRnu2vbltVCzrrvXQ/VtdX2deWq7oVVUVOjhhx821h75wx/+4NP8Xk+Ib3DE110f7KwtdOutt5ouCv/zn/94bZf4Bs5bb71lWtB59OjReu211zRkyBAlJycrJiZGCQkJSk9P19y5c/W3v/3NuFDNz8/X9OnTTWsTSMTXU9vBjJhZt12f9kPh9XD8+HGNHz9eubm5xraHH35YN998s+W+xDg4Yrxw4UL98MMPkqRf//rXSk9P90u7xDc44huMSNDAUc2bNzeVCwsLbe9bfZ2Gmhcm8Gz//v36/e9/b0yjiI2N1XPPPef1No7n1Cde1etGR0fXyq7HxcUZ3xJLtdfhsNu25P71UL3vvrRds24wvNZefvllZWVlSZL69eunW265xS/tEt/giG/NODRt2tTjulDVtWjRQt26dTPKX331ldd2iW9glJeXa9GiRUb50ksv1ezZsxUZ6fmSq1+/frr33nuN8v79+7VhwwZTHeIbHPH1BTGzbttdf+y2H+yvh5MnT+qOO+4wRtFJ0r333qtRo0bZ2p8YBz7Gu3bt0htvvCHp7Ej0mTNn+q1t4hv4+AYrEjRwVMeOHU3l6ivXe1NRUWFkqyUpJSXFr/0KV4cOHdKdd96pU6dOSTp7Uff00097vYVjdXWNV826Ndtxt/3o0aN1alty/3qo3nZ+fr4qKytttV2zH4F+rf3www969tlnJZ2d0/vII4/4rW3iG/j4SrWPny+3v6x+K8uad4MivsER3507dxprR0lnRz55S86cM2LECNMIqU2bNpl+TnyDI76+IGbWbbvrjyehdG1YVFSkCRMm6MCBA8a2u+66S5MmTfKpHWIc2BjPnz/fWDdoxowZSkpK8mv7xDd438OBxG224aguXbqYyt9995369etnuV9OTo7pRFKzHdR25MgRjRs3zrgzSGRkpP785z9r0KBBtttITk5W8+bNjXnS3333nU/Pf46neHXu3Nn4JsndGgt22m7evLnatm1bq07156yoqFBOTo46depk2XZ2drbHdgKhoKDAGP4ZERGhyZMne61f8w/uqlWrlJGRYZTnzZunq666ShLxrdlOoFxwwQWKiYkxpiD6cmeX6nVrDikmvsER33Oj387p3r27rf3i4+PVpUsXZWZmSjqbcK+O+AZHfH1BzNz3PdyvDUtLSzVp0iTt2bPH2DZq1Kg6jb4gxoGN8ffff288XrFihV544QWv9asn5z///HP913/9l1EeNmxYrWs64huc7+FAYwQNHNWlSxfTN4Kff/65rf12795tKlstpNbYHTt2TOPGjTPu/hEREaFHH31UQ4cO9bmt6sfabrxyc3NNf5Q8xSstLc3jPt5Uv8ix03bNfbyp/lqLiYlR586dbe3XEMrKynTkyBGv/3Jyckz7FBYWmn5e8xaGxDfw8Y2OjjatB1XXaQ+tWrWq9XPiG/j41rxLV/W7b1mpPh/f3d0tiG/g4+srYlY7ZuF8bVhWVqa7775bn3zyibFt2LBhevjhh+vUHjEOnhhnZ2dbXpNVXzvszJkzpp+d+wK1OuIbPPENJiRo4KimTZuqb9++RnnHjh3GUEFvduzYYTyOj4/324Jc4aigoEDjxo0zfVCfPXu2hg8fXqf2rr32WuPxd999VyuT7s727dtN5YEDB1q2LUn//ve/LdvOzs429cFT2+np6aYPN9VfQ564XC7TQqv9+vXz6cNUKCK+wRHf6667znicn5+v48eP29qv+nB5d9MeiG/g45uQkGAqFxQU2N63+i223SXgiG/g4+srYlY7ZuF6bVhZWan7779fH374obHtxhtv1IIFCxQREVGnNolxcMXY34hveMe3rkjQwHGDBw82Hufk5Oijjz7yWv/UqVOmxRGvueYan6YANCY//fSTxo8fb1qA7r777rN1RxhPqsdLktauXWu5T/U6rVu3Vs+ePd3W69Wrl1q3bm2U16xZ41PbkjxO2YqNjdU111xjlNevX2+sxePJjh07TIktX6aDOeXiiy9WZmam7X+bN2827X/33Xebfl4znsQ3ONxwww2m8vr16y33+eyzz0xzt90NJya+gXfBBReYyjU/bHty+PBh0+9Tsx2J+IYiYuZeuF0bulwuzZo1y9THn//851q4cKHtNcbcIcaBjfHOnTt9uibr0KGDsW+/fv1MP5s9e3at9olv8LyHgwkJGjjul7/8pekWwQsXLqx1+9Dqnn76adMQ8bFjxzrav1B1+vRpTZgwwbTewaRJkzRx4sR6tdu1a1f179/fKK9cudLrwmUbNmwwDVkcNWqUxwUxIyMjddtttxnlXbt2aePGjR7bzsnJ0cqVK41y//791bVrV4/1qyemSkpKtHTpUo91KyoqtHDhQqPcqlUr/fKXv/RYP1wQ3+BwySWXmBIsK1as8HqXhaqqKtOdgSIiItz+PsQ38Pr06WPcMluS/v73v9satr548WJT+eqrr65Vh/iGHmLmXrhdG86bN8+0/tuVV16ppUuXmqaB1AUxDm/EF+6QoIHjWrRoobvuussof/nll5o1a5axQGZ1q1at0urVq43yNddcw/A3N86cOaMpU6Zo7969xraxY8eabtNaH9XbKS4u1uTJk01D78/ZuXOn6RuBxMREjRs3zmvb48aNU2JiolGePXu2Pvvss1r18vLyNHnyZNMaKla/X9++fU0fal599VW9+uqrteqVlZXpD3/4g/bv329su/POO9WiRQuv7YcL4hscZsyYYQx7z8vL08SJE91OhykpKdEf/vAH03EcMmSIaR2b6ohvYMXFxWnkyJFGubCwUHfccUetRX/PKS0t1Zw5c/Tee+8Z29q3b68bb7zRbX3iG3qIWW3hdG24aNEivfbaa0a5V69eeu6552rdGr2uiHF4I76oKcJlZ8IYUE/l5eW688479fHHHxvbOnTooJtvvlkdO3bUiRMntGnTJlPCoU2bNlq7dq3atWsXiC4HtXXr1ukPf/iDaVtKSopPc5xvuOEGr3cUWLJkiZYvX26UmzVrpl/96ldKTU3VmTNntHPnTm3evFlVVVWSpKioKK1YscI0nNKTDz/8UBMnTjRWco+KitLgwYPVu3dvxcbGKjMzUxkZGaY/QpMnT9b//M//WLadm5ur4cOHm6aCXH755Ro8eLASExP1/fff66233jLdErB///566aWX6v1NVyB8//33piGod999t6ZNm2a5H/ENDs8995zpG63mzZtryJAhuvjiixUdHa1vv/1W//rXv0wjMFJSUvSPf/yj1lon1RHfwPrpp580cuRI0/TTqKgoDRw4UH369FFSUpJKSkqUlZWlDRs2mBaPjIqK0vPPP+9xXQGJ+Dph5cqVWrVqVa3tx48fV1FRkVF2dxeUdu3aud23OmJWW0NfGzoR42PHjpnWFJOktm3bmkbRWbHz+iHG1px+D9tx/fXXG1OE+vXrZ7tN4ovqSNCgwRQWFmrixIm1VvB2p23btnr++edt3560sfnHP/6hP/7xj/Vq49e//rX+9Kc/efy5y+XS3Llz9frrr1u2FRsbq3nz5mnYsGG2n/8f//iHHnnkEZWVlVnW/d3vfqe5c+faTkB98cUXHr+hrKlXr15asWKFaZhmKKlrgob4Bo8///nPevnll20tsJeWlqYVK1aoffv2XusR38DLzs7W1KlTjdtm2xEfH69HH31UN910k9d6xNf//vKXv2jZsmV12rdDhw7asmWL1zrEzL2GvDZ0IsY1/wb7s+2aiLF3Tr+H7ahrgkYivvhfTHFCg2nZsqVWr16t++67T23atHFbJz4+XsOHD9fbb7/NmzfAIiIiNG/ePC1btszjbfAiIyM1YMAAvfnmmz5dSEpnbzv55ptvasCAAR7n16empmrZsmWaN2+eT6ODunfvrrffflvDhw83rWBfXZs2bXTfffdp9erVQfnhzmnEN3g88MAD+tvf/uZxIVBJSkpKVTAdqQAAAhJJREFU0v3336833njDMjkjEd9gkJKSorVr12rWrFluv7GtLj4+XiNGjFBGRoZlckYivqGImLnHtaF9xDi8EV+cwwgaBERlZaV27dql7777TsePH1dCQoLat2+vvn37qlmzZoHuHtw4twp9fn6+YmJilJycrF69eik5Obnebefl5Wn37t3Ky8tTeXm52rZtq7S0NKWlpdW77aKiIn366ac6duyYTp48qdatW+uCCy5Q796963VnhXBDfINDdna29u3bp/z8fJWVlSkxMVFpaWnq3r27xws2O4hv4B05ckRffPGFCgoKVFRUpNjYWLVs2VJdu3bVxRdfXK+7WRDf0EPMauPa0D5iHN6Ib+NGggYAAAAAACDAmOIEAAAAAAAQYCRoAAAAAAAAAowEDQAAAAAAQICRoAEAAAAAAAgwEjQAAAAAAAABRoIGAAAAAAAgwEjQAAAAAAAABBgJGgAAAAAAgAAjQQMAAAAAABBgJGgAAAAAAAACjAQNAAAAAABAgJGgAQAAAAAACDASNAAAAAAAAAFGggYAAAAAACDASNAAAAAAAAAEGAkaAAAAAACAACNBAwAAAAAAEGAkaAAAAAAAAAKMBA0AAAAAAECAkaABAAAAAAAIMBI0AAAAAAAAAUaCBgAAAAAAIMBI0AAAAAAAAAQYCRoAAAAAAIAAI0EDAAAAAAAQYCRoAAAAAAAAAuz/AQFcs/kbAXrhAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 427,
       "width": 564
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# test region\n",
    "plt.plot(val_voltage_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7ff17059fc90>]"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 572
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "# train region\n",
    "# plt.plot(voltage_data[145000:])\n",
    "plt.plot(train_voltage_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Processing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(100774,)"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_voltage_data.to_numpy().shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(25000,)"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_voltage_data.to_numpy().shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = train_voltage_data.to_numpy()\n",
    "segment_size = 100\n",
    "segments = [ torch.tensor(data[i:i + segment_size]).unsqueeze(1).float() for i in range(0, len(data), segment_size) ]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "if (segments[-1].shape[0] != segment_size):\n",
    "    segments.pop()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "torch.Size([557, 100, 1])"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "torch.stack(segments).shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_dataset(series, segment_size, mean, stdev):\n",
    "    # normalize the data\n",
    "    data = (series.to_numpy() - mean)/stdev\n",
    "    segments = [ torch.tensor(data[i:i + segment_size]).unsqueeze(1).float() for i in range(0, len(data), segment_size) ]\n",
    "    # reject the last segment if it doesn't fit the shape\n",
    "    if (segments[-1].shape[0] != segment_size):\n",
    "        segments.pop()\n",
    "    n_seq, seq_len, n_features = torch.stack(segments).shape\n",
    "\n",
    "    return segments, seq_len, n_features\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = train_voltage_data.to_numpy()\n",
    "mean = np.mean(data)\n",
    "stdev = np.std(data)\n",
    "\n",
    "\n",
    "segment_size = 60\n",
    "train_dataset, seq_len, n_features = create_dataset(train_voltage_data, segment_size, mean, stdev)\n",
    "val_dataset, _, _ = create_dataset(val_voltage_data, segment_size, mean, stdev)\n",
    "test_normal_dataset, _, _ = create_dataset(test_voltage_data, segment_size, mean, stdev)\n",
    "test_anomaly_dataset, _, _ = create_dataset(fault_voltage_data, segment_size, mean, stdev)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Encoder Decoder"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cuda\n"
     ]
    }
   ],
   "source": [
    "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
    "print(device)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Encoder(nn.Module):\n",
    "\n",
    "  def __init__(self, seq_len, n_features, embedding_dim=64):\n",
    "    super(Encoder, self).__init__()\n",
    "\n",
    "    self.seq_len, self.n_features = seq_len, n_features\n",
    "    self.embedding_dim, self.hidden_dim = embedding_dim, 2 * embedding_dim\n",
    "\n",
    "    self.rnn1 = nn.LSTM(\n",
    "      input_size=n_features,\n",
    "      hidden_size=self.hidden_dim,\n",
    "      num_layers=1,\n",
    "      batch_first=True\n",
    "    )\n",
    "    \n",
    "    self.rnn2 = nn.LSTM(\n",
    "      input_size=self.hidden_dim,\n",
    "      hidden_size=embedding_dim,\n",
    "      num_layers=1,\n",
    "      batch_first=True\n",
    "    )\n",
    "\n",
    "  def forward(self, x):\n",
    "    x = x.reshape((1, self.seq_len, self.n_features))\n",
    "\n",
    "    x, (_, _) = self.rnn1(x)\n",
    "    x, (hidden_n, _) = self.rnn2(x)\n",
    "\n",
    "    return hidden_n.reshape((self.n_features, self.embedding_dim))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Decoder(nn.Module):\n",
    "\n",
    "  def __init__(self, seq_len, input_dim=64, n_features=1):\n",
    "    super(Decoder, self).__init__()\n",
    "\n",
    "    self.seq_len, self.input_dim = seq_len, input_dim\n",
    "    self.hidden_dim, self.n_features = 2 * input_dim, n_features\n",
    "\n",
    "    self.rnn1 = nn.LSTM(\n",
    "      input_size=input_dim,\n",
    "      hidden_size=input_dim,\n",
    "      num_layers=1,\n",
    "      batch_first=True\n",
    "    )\n",
    "\n",
    "    self.rnn2 = nn.LSTM(\n",
    "      input_size=input_dim,\n",
    "      hidden_size=self.hidden_dim,\n",
    "      num_layers=1,\n",
    "      batch_first=True\n",
    "    )\n",
    "\n",
    "    self.output_layer = nn.Linear(self.hidden_dim, n_features)\n",
    "\n",
    "  def forward(self, x):\n",
    "    x = x.repeat(self.seq_len, self.n_features)\n",
    "    x = x.reshape((self.n_features, self.seq_len, self.input_dim))\n",
    "\n",
    "    x, (hidden_n, cell_n) = self.rnn1(x)\n",
    "    x, (hidden_n, cell_n) = self.rnn2(x)\n",
    "    x = x.reshape((self.seq_len, self.hidden_dim))\n",
    "\n",
    "    return self.output_layer(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [],
   "source": [
    "class RecurrentAutoencoder(nn.Module):\n",
    "\n",
    "  def __init__(self, seq_len, n_features, embedding_dim=64):\n",
    "    super(RecurrentAutoencoder, self).__init__()\n",
    "\n",
    "    self.encoder = Encoder(seq_len, n_features, embedding_dim).to(device)\n",
    "    self.decoder = Decoder(seq_len, embedding_dim, n_features).to(device)\n",
    "\n",
    "  def forward(self, x):\n",
    "    x = self.encoder(x)\n",
    "    x = self.decoder(x)\n",
    "\n",
    "    return x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = RecurrentAutoencoder(seq_len, n_features, 128)\n",
    "model = model.to(device)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Training"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [],
   "source": [
    "def train_model(model, train_dataset, val_dataset, n_epochs):\n",
    "  optimizer = torch.optim.Adam(model.parameters(), lr=1e-5)\n",
    "  criterion = nn.L1Loss(reduction='sum').to(device)\n",
    "  history = dict(train=[], val=[])\n",
    "\n",
    "  best_model_wts = copy.deepcopy(model.state_dict())\n",
    "  best_loss = 10000.0\n",
    "  \n",
    "  for epoch in range(1, n_epochs + 1):\n",
    "    model = model.train()\n",
    "\n",
    "    train_losses = []\n",
    "    for seq_true in train_dataset:\n",
    "      optimizer.zero_grad()\n",
    "\n",
    "      seq_true = seq_true.to(device)\n",
    "      seq_pred = model(seq_true)\n",
    "\n",
    "      loss = criterion(seq_pred, seq_true)\n",
    "\n",
    "      loss.backward()\n",
    "      optimizer.step()\n",
    "\n",
    "      train_losses.append(loss.item())\n",
    "\n",
    "    val_losses = []\n",
    "    model = model.eval()\n",
    "    with torch.no_grad():\n",
    "      for seq_true in val_dataset:\n",
    "\n",
    "        seq_true = seq_true.to(device)\n",
    "        seq_pred = model(seq_true)\n",
    "\n",
    "        loss = criterion(seq_pred, seq_true)\n",
    "        val_losses.append(loss.item())\n",
    "\n",
    "    train_loss = np.mean(train_losses)\n",
    "    val_loss = np.mean(val_losses)\n",
    "\n",
    "    history['train'].append(train_loss)\n",
    "    history['val'].append(val_loss)\n",
    "\n",
    "    if val_loss < best_loss:\n",
    "      best_loss = val_loss\n",
    "      best_model_wts = copy.deepcopy(model.state_dict())\n",
    "\n",
    "    print(f'Epoch {epoch}: train loss {train_loss} val loss {val_loss}')\n",
    "\n",
    "  model.load_state_dict(best_model_wts)\n",
    "  return model.eval(), history"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1: train loss 7.188362143299209 val loss 10.97716400551796\n",
      "Epoch 2: train loss 7.061609009534848 val loss 10.861721575021743\n",
      "Epoch 3: train loss 7.050498445725213 val loss 10.759196199297905\n",
      "Epoch 4: train loss 6.953788480228296 val loss 10.529170639157295\n",
      "Epoch 5: train loss 6.819667443375704 val loss 10.165040640830993\n",
      "Epoch 6: train loss 6.738479136036151 val loss 9.992541402816773\n",
      "Epoch 7: train loss 6.614317140013353 val loss 9.791294813871383\n",
      "Epoch 8: train loss 6.452131601406606 val loss 9.845977551937104\n",
      "Epoch 9: train loss 6.408218298855107 val loss 9.518717983603478\n",
      "Epoch 10: train loss 6.238182526727458 val loss 9.489320818185806\n",
      "Epoch 11: train loss 6.234057898515033 val loss 9.289050007283688\n",
      "Epoch 12: train loss 6.202264721316195 val loss 9.33216683781147\n",
      "Epoch 13: train loss 6.1222286748257755 val loss 9.25562231683731\n",
      "Epoch 14: train loss 6.28904679132722 val loss 10.131250357687474\n",
      "Epoch 15: train loss 6.073458283509507 val loss 11.110596370041371\n",
      "Epoch 16: train loss 6.161009409070512 val loss 9.410741286337375\n",
      "Epoch 17: train loss 6.021980724913723 val loss 9.270162648320198\n",
      "Epoch 18: train loss 6.039738698001061 val loss 11.261745161175728\n",
      "Epoch 19: train loss 6.115699894411213 val loss 9.005485089600086\n",
      "Epoch 20: train loss 5.929479124247496 val loss 9.085405830562115\n",
      "Epoch 21: train loss 5.9451709336347704 val loss 10.106599816918374\n",
      "Epoch 22: train loss 5.924677521709248 val loss 9.108658552646636\n",
      "Epoch 23: train loss 5.908539707831785 val loss 8.512088710725308\n",
      "Epoch 24: train loss 5.818426139967793 val loss 9.660966635107995\n",
      "Epoch 25: train loss 5.953280821415979 val loss 8.881353223979474\n",
      "Epoch 26: train loss 5.762612802924465 val loss 8.796815033614635\n",
      "Epoch 27: train loss 6.0233771145752035 val loss 9.594733444035054\n",
      "Epoch 28: train loss 5.884460732465063 val loss 8.864278678059579\n",
      "Epoch 29: train loss 5.812006496509816 val loss 9.826941768109798\n",
      "Epoch 30: train loss 5.818772723404619 val loss 9.912757200181485\n",
      "Epoch 31: train loss 5.6362157306673275 val loss 9.99971356779337\n",
      "Epoch 32: train loss 5.646149147277506 val loss 10.41991896033287\n",
      "Epoch 33: train loss 5.785268129284996 val loss 9.180850823998451\n",
      "Epoch 34: train loss 5.6033936036066185 val loss 8.335838904500008\n",
      "Epoch 35: train loss 5.639638055348907 val loss 8.63649248892069\n",
      "Epoch 36: train loss 5.496804546314098 val loss 8.519725093007088\n",
      "Epoch 37: train loss 5.45866653725212 val loss 8.703529002845288\n",
      "Epoch 38: train loss 5.5987114275740755 val loss 7.895355988562107\n",
      "Epoch 39: train loss 5.397800835968839 val loss 8.712894497811794\n",
      "Epoch 40: train loss 5.615536484239427 val loss 9.162039269328117\n",
      "Epoch 41: train loss 5.468912153788235 val loss 8.45761411190033\n",
      "Epoch 42: train loss 5.371571399009675 val loss 7.897047997713089\n",
      "Epoch 43: train loss 5.266479222919346 val loss 7.756879223942756\n",
      "Epoch 44: train loss 5.268004156937551 val loss 7.302376929938793\n",
      "Epoch 45: train loss 5.267588082587811 val loss 9.525786200582981\n",
      "Epoch 46: train loss 5.373221474869966 val loss 7.77464767986536\n",
      "Epoch 47: train loss 5.32135811762273 val loss 8.563139500975609\n",
      "Epoch 48: train loss 5.412440207110692 val loss 7.822439022362232\n",
      "Epoch 49: train loss 5.406725116318149 val loss 7.7465962873101235\n",
      "Epoch 50: train loss 5.159115838695666 val loss 7.441654227137565\n",
      "Epoch 51: train loss 5.258179729568099 val loss 7.8189039084911345\n",
      "Epoch 52: train loss 5.251028409168931 val loss 7.743886261582374\n",
      "Epoch 53: train loss 5.242734800604854 val loss 7.365176262140274\n",
      "Epoch 54: train loss 5.16607915904282 val loss 8.90385246372223\n",
      "Epoch 55: train loss 5.2259016893338135 val loss 8.867705811679363\n",
      "Epoch 56: train loss 5.194666571919587 val loss 7.8739802262187\n",
      "Epoch 57: train loss 5.249035688970258 val loss 7.216172798454761\n",
      "Epoch 58: train loss 5.070800466896737 val loss 6.85274638992548\n",
      "Epoch 59: train loss 5.001781966748019 val loss 7.9121731922626495\n",
      "Epoch 60: train loss 5.1056873312374185 val loss 7.273398827493191\n",
      "Epoch 61: train loss 4.9760447693428445 val loss 7.714040239751339\n",
      "Epoch 62: train loss 5.0596290826797485 val loss 7.861135354578495\n",
      "Epoch 63: train loss 5.159216250112683 val loss 8.330905803859235\n",
      "Epoch 64: train loss 5.089301896732502 val loss 8.29973559910059\n",
      "Epoch 65: train loss 5.077050341283232 val loss 7.0275069693923\n",
      "Epoch 66: train loss 5.104413759262878 val loss 7.527150939106941\n",
      "Epoch 67: train loss 5.011002344894154 val loss 7.2104483036994935\n",
      "Epoch 68: train loss 5.031821377153834 val loss 7.462278498470783\n",
      "Epoch 69: train loss 4.93549394425606 val loss 7.092176900625229\n",
      "Epoch 70: train loss 4.902165090153798 val loss 7.506531097173691\n",
      "Epoch 71: train loss 5.044680127577813 val loss 8.029633438766002\n",
      "Epoch 72: train loss 5.078257953991061 val loss 7.620706166148186\n",
      "Epoch 73: train loss 5.02238962424341 val loss 7.4123868288993835\n",
      "Epoch 74: train loss 4.943703004306026 val loss 7.7856830370426175\n",
      "Epoch 75: train loss 5.058452894515122 val loss 7.487752008140087\n",
      "Epoch 76: train loss 4.983188311229369 val loss 6.923008233428002\n",
      "Epoch 77: train loss 4.91655006462474 val loss 7.989273576080799\n",
      "Epoch 78: train loss 5.02005114208878 val loss 7.763792626202107\n",
      "Epoch 79: train loss 5.119667072916329 val loss 7.779459906995297\n",
      "Epoch 80: train loss 4.815837256517206 val loss 6.943657228469848\n",
      "Epoch 81: train loss 4.94981735579097 val loss 8.068133530378342\n",
      "Epoch 82: train loss 4.966924919932637 val loss 7.317310967862606\n",
      "Epoch 83: train loss 4.9220759348634315 val loss 7.525299256563186\n",
      "Epoch 84: train loss 4.896259387266146 val loss 7.622523278236389\n",
      "Epoch 85: train loss 4.785323318562172 val loss 7.6916364338994025\n",
      "Epoch 86: train loss 4.898927788957376 val loss 7.980075287938118\n",
      "Epoch 87: train loss 4.846099264995195 val loss 7.757217339038849\n",
      "Epoch 88: train loss 4.897296259353884 val loss 7.217446682631969\n",
      "Epoch 89: train loss 4.8730314556085474 val loss 7.53286054366827\n",
      "Epoch 90: train loss 4.7620205258403665 val loss 8.212237065553666\n",
      "Epoch 91: train loss 4.7782756012951495 val loss 7.190876980245114\n",
      "Epoch 92: train loss 4.864514986617783 val loss 7.239515961110592\n",
      "Epoch 93: train loss 4.675690712807716 val loss 8.097305634975433\n",
      "Epoch 94: train loss 4.7876884221515885 val loss 6.623932673871517\n",
      "Epoch 95: train loss 4.722695211113884 val loss 7.503434510350227\n",
      "Epoch 96: train loss 4.745365573961938 val loss 7.175907820641995\n",
      "Epoch 97: train loss 4.659669167756538 val loss 7.756110722780227\n",
      "Epoch 98: train loss 4.662637394221146 val loss 6.194095297515393\n",
      "Epoch 99: train loss 4.6344790222781125 val loss 7.093573769330979\n",
      "Epoch 100: train loss 4.656862292254589 val loss 7.243564149618149\n"
     ]
    }
   ],
   "source": [
    "model, history = train_model(\n",
    "  model, \n",
    "  train_dataset, \n",
    "  val_dataset, \n",
    "  n_epochs=100\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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vGYo1h7O8JVwFBQWyWCx68MEHddVVV/kFgiTpqKOO8stOevvtt6M6pyFDhui///2vXyBI8nyfP/TQQ4b7cseOHZo/f37Qcy5fvtywVDIjI0MvvviijjvuOL/gQ2Zmpm655RZdeeWV3vlE0/XXX+/NNLFYLLr77rt15513BgxuOBwOXXzxxXrmmWe8ga+ysrKwsseKioqUmJioZ555Rmeffbbf/ZiRkaGbb75ZV199taH/jjvuCJqpGe33P8mzfPLpp5/2thMSEnT//ffrrrvuCvhaSZ575cwzz9Sbb76p8ePHBz23r4KCAnXv3l2vv/66Ro8e7Xd/JCcn6+abb9aJJ57o7atduhfITz/9pF27dnnbl112mcaPHx8048xisWifffbRFVdcoc8++0xpaWkhzRtA/CAYBACIuK+++kq///67tz1w4EBde+219R7TrVs33XbbbYa+mTNnBhzrWxeiX79+QX+BDyTYh3Tfcx588MEBP8yGe87GiPZr1717dw0dOtTb/vTTT0OqZ/Lxxx+rvLzc2zYHlWqVlJQYMmYGDBig22+/vcHsqby8PMPykR07dujjjz9ucF61zjvvvJAznFqKcOecmZkZ1ge6Hj16aNKkSd72ihUr6q0h01RnnXWWjj/++HrHHH744dp///297Z9//jlqtUwcDocefPDBel8zq9Wqf/zjH4a+hQsXBh3/3//+19C++uqr1adPn3rnMX78eA0ZMqThCTfBd999p6VLl3rb559/ftDMPV+HHnqo/vrXv3rb8+bN0x9//BHydceNG9dg0fdx48YZ3nO2bt2qzz77LODYaL//SdLTTz9tCDZNnDhRJ510Ur3X8NW+ffuQx953333q0KFDvWN8v0clTzArEPO/SziF4R0OR8QzWAG0frwrAAAizlxQ+bLLLgvpF9FRo0Zp4MCB3vbKlSu1evXqeo+Jxl/b9+zZE/Fzhqo5XjvfQE5VVZVhmUwwvkvEHA6HTjjhhIDjzDvmTJo0KeSaREcddZQhsPfFF1+EdJzFYtFFF10U0tiWornmfMwxxxjaK1asiNq1Lr300pDGjRgxwvvY5XI1+D3eWMcdd1xIu2QdcsghhrpFvlltvlwul+bMmeNtZ2dn6/TTT2/w/BaLRRdffHEIM2483yCV3W6vt+6M2YUXXuh97HQ6682M8pWUlBTyPWyeT7Ci+9F+/9u9e7c+/fRTbzs3NzfkTJ9wDRs2zBD4DKZnz57q3r27tx3s/jOL5c8pAG0DwSAAQMT5/oU6NTU1rOwH35R587lq7bXXXt7HW7ZsqXeHsFD5nnPx4sWGDwzNKdqvneT5kJyUlORtN7RUbMuWLYa/Vh999NFB6598//333sfJycmGD/6h8M0yCDZ/s759+4b0ob8lieSc3W63ysrKtGPHDm3evNnwn3k5zvr16yNyTbO99tor5Ay9Xr16Gdq1dY0i7YgjjghpXEJCgnr06OFtB/uQvXbtWkPB36OPPjroUj2zcMY2hm8204EHHqicnJyQj+3UqZNhSeKSJUtCOm7EiBEhZ6oNHz7c8J4R7Hs72u9/CxcuNGQFnXrqqVH7dwn1/pOM3xPB7j9zLafp06c3yy6BANouCkgDACJqz549hsK3AwcODGu3oP3228/Q/vnnn/3GHH/88XrxxRe97dtvv11z587V2LFjNWLEiEYVaj3++OM1b948SZ6/jv/jH//QqFGjdMopp+jQQw9tlp2AmuO1kzxFiEeNGuWtTbF06VJt2LDB8IHY1+zZsw0foIItEZOMHyS7du3qLewaKt8ld3/88YecTmeDmUUDBgwI6xotQVPnvHjxYn300UdatmyZ1q5dG/KHwsLCwiZdNxhzgKc+6enphna0djwKVtMqEN+gRrD5mDNNfDNRGuJwOLT33nvr119/DfmYUP3222+GgFrnzp3DXg6YkZHhfe8J9dhBgwaFfH6bzaZ99tlH33zzjSTPbnI7duwwLKFqjvc/c2bcgQceGPL5wxXp+69fv37q3bu31q1bJ8mznOz//u//dNZZZ+nYY4/V3nvv3bQJA4g7BIMAABFl/iu/b/p7KMx//QyUNTBkyBCdffbZev311719CxYs0IIFC2SxWNS3b18NHTpUBx54oA4++GC1a9euwesed9xxmj17tr766itJnmyLuXPnau7cuUpISNDAgQO95zzwwAPDqikUquZ47WqNHTvWUKh09uzZuuKKKwKOfe+997yP27dvH/Qv3k6n01DgdM2aNRo5cmRIcw/E7XarqKjIUAQ5kHCyIFqKxs553bp1+uc//6lFixY16vhoBV7MAZ76JCQYf/0MVky4qcKZk292SLD5mJekduzYMaz5dOzYMSrBIN/t1SXPbnyzZs1q9PlCDRiGU6tN8ryf1QaDJM/7k28wqDne/3bu3GlohxOwCVc49b1Cuf8sFoumTZumv/3tb97i+lu3btWjjz6qRx99VLm5uTrggAM0bNgwHXTQQerfv3/TvgAAbR7LxAAAEVVcXGxoh7uDifkDXLAPJrfddpsuv/xyw3InyRNAWLVqlV599VVdeeWVOvzww3XBBRfo448/NmS3mNXu7HTBBRcE/LC6YsUK/ec//9Fll12mQw89VBMmTNC3334b1tfWkOZ67STPsg3fD7PvvvtuwNdnyZIlhoKuJ510kt/r43u9+l7jxgiluHCgnbhausbM+eeff9a5557b6ECQpIj/+9RqicVpg+0u2Fjm789wswWjtZtTpLO9fJfC1aep70/mwvXN8f5nDuhFI6hfKxrfEwceeKBeeOEFw7LmWjt37tQnn3yiO++8U6eccoqOOeYYPfbYY1HLBgTQ+rW8n9wAgDYl0h/IatXuAjRv3jxdffXVGjJkSMAghcvl0sKFC3XFFVfo/PPPr3fZksPh0M0336yPP/5YEydO1IABAwLOv7q6Wp9//rn+9re/afLkyVHLtojWayd5Xr+TTz7Z296yZUvAXZR8C0dL9S8Ri0aGR7SCF61NVVWVrrrqKsMHu+zsbF100UV6/PHH9cEHH2jhwoVasWKFVq1aZfgPkWGuLVObnRGqqqqqSE7HK1qZVQ0J9/0p3O/laL7/Nec1Im3YsGH68MMP9dhjj2nMmDHKzMwMOG7Lli16/PHHNXr06KC7twGIbywTAwBElPmvs+a/9jbEPD7YL7q1cnNzNW7cOI0bN06lpaVasWKFFi9erO+//15LliwxfFBatGiRLrnkEs2aNaveWhTdunXTlClTNGXKFBUWFmrZsmVatGiRFixYoJ9++snwoWbOnDkqKyvTc889F9bXGUhzv3annXaannnmGW979uzZOvjgg71t805jAwcOVL9+/YKez1yraeTIkXriiSdCmToa8L///c+QoXXQQQfpiSeeaHApVLQClfHI/P1kzmxpSLjfz6Eyz+uGG25olp3qwv16zPeiOSunOd7/zH2FhYVhLSdsKRISEjRmzBiNGTNGLpdLa9as0dKlS/XDDz9o/vz5hgyowsJCXX755XrhhRcMBfoBgMwgAEBEmWuhbNy4Mazjf/vtt3rPV5/U1FQNHz5ckyZN0ksvvaSvv/5aU6ZMMSwlW7VqVVj1NDIzM3XkkUfq6quv1qxZs/T555/r4osvNhQ1nj9/vr788suQzxlMc792vXr1MhRd/eSTT1ReXu5tz5s3z/CB99RTT633fA6Hw7C0Y8OGDaFMGyHwvb+sVqvuueeekD7E+tZwQtOYawStXbs2rOPXrFkTyel4mWuiNdf33aZNm8Iab34/M78/Ncf7X25urqFdW4y5NbNarerXr5/OOeccPfjgg/r222/1xBNPqE+fPt4x1dXVuvfee2M4SwAtEcEgAEBEZWdnG7Yp/uWXX8JaHrF8+XJDe5999mn0XHJycjRx4kT961//MvR//vnnjT5np06dNHXqVE2ePDli56wVi9fOd9lXaWmp5syZ4237LhGz2+066aSTGjzfkCFDvI/XrVsX9m5iCMz3A37v3r0N90l9li1bFqUZxR/z7lk//PBDyMdu2LDBr3hxpPTp08dQg2rBggVRuY7Zjz/+GPJYp9Np2N0rNzfXUDxaap73P9/3Jym8f8PWwmazaeTIkZo5c6Yh+LVixQqCwwAMCAYBACJu//339z4uLS317tAVCt8driT/X94b4/jjjzdsWe67fXFjmWvnROKcUvO/dieccIJhydy7774ryZNR4rvzz4gRI0LK0ho+fLj3sdvt9qs51Jr5vk7Rqv8SjO8Sm3AK677//vvRmE5cysrKMuzQtGTJkpCzcN5+++1oTUt2u92wRfpvv/3WLEHAr776KuRliAsWLDAsXQr23hTt97+DDjrIUNh59uzZYdd+ai1ycnJ05JFHGvr++OOPGM0GQEtEMAgAEHEnnniiof3444/L5XI1eNy8efP0yy+/eNv9+vWrt0ZNqBISEpScnOxtmwvBNob5A3kkzik1/2uXkZFh2P59wYIF2r59u95//31DvaWxY8eGMn2deuqphmV5//73v/22vm6tfJdlFRQUyOl0xuTaGzZsCOmeWLhwoSGgh6Y744wzvI/dbrfuvvvuBo/ZsmWLXnzxxWhOS2effbahfc8990Q9yFFRUaEXXnghpLHm2mHBsgyj/f6Xk5OjUaNGeds7d+7U008/3eD5W6to/ZwC0DYQDAIARNyRRx6p7t27e9u//PKLHnjggXqP2bRpk2677TZD3wUXXBBw7Kuvvqr8/PyQ5/PVV18Z/irds2dPvzH/+c9/wiq2a864CHTOxoj2axeIb5aTy+XSu+++a8joyc7O9vsLczDt27fXOeec420XFhZq/Pjx2r59e8jzkTzFvs01QGLN99+4urpaixcvbrZr9+3b1/s4Pz9f7733Xr3jN2zYoGuvvZbd2CLstNNOMyy9+fzzz3XnnXcGDQxu3bpVl1xyiaEWVzSMHDnSsCxq6dKluuGGG8LKYKupqfELAjfkmWee0aJFixoc4/u9kpeXp2OOOSbg2OZ4/xs3bpxhF7Enn3wyrAy6WC21+vrrr8PK+CovL9e8efO8bbvdrm7dukVhZgBaK4JBAACDmpoabd68uVH/1bJarbr99tsNv3A/99xzmjp1qt8v0m63W/PmzdNf/vIXQ02NoUOH6vTTTw84x3//+9866qijdPXVV2vevHlBgzg1NTWaPXu2rrrqKkO/75bqte655x4dddRRuuWWWzR//nxVVFQEPGftX8Pvuusub5/FYgmpnk4oov3aBXL44YcbPuA+//zzWrlypbd94oknhvUX5SlTpmjAgAHe9sqVK3XqqafqxRdfrDfg9vvvv+u5557T2LFjdd5554VdoDbafJfiSNL111+vN998U7/++qs2bdpk+F6orKyM6LXHjBljaN9666166623/IIQ1dXVmj17ts4991xt27ZN2dnZEZ1HvEtLS9Ott95q6Js5c6ZOP/10vfbaa/rpp5+0fv16fffdd7r//vt1wgknaP369crKytIhhxwS1bndf//9hkyQ999/X2eccYbmzp0bNMBTU1OjFStW6IEHHtCoUaN0zTXXhJzxlpGRocrKSo0bN06vv/66XyZSUVGR7rzzTj344IOG/ltuuSXo+0lzvP8NGjRI48eP97Zramp07bXX6qabbgr6nlNQUKA333xTZ5xxRswyiZYtW6azzz5bZ511ll544YV63x9Xrlypv//974afy0cffXRYS0wBtH1sLQ8AMNi+fbth2VA4Vq1a5X08fPhw/eMf/9CMGTO8fbNnz9b777+vwYMHq3PnziorK9Ovv/7qt4woLy9P9913n6G2g1llZaU++OADffDBB7JYLNprr73UtWtX79bBO3bs0K+//uq33fCoUaOC/lW6uLhYb7zxht544w0lJCSoV69e6tSpkzIyMuRyubRt2zb9/PPPfoGiCy+80FBLpKmi/dqZ2Ww2nXTSSXr++eclSXv27DE8b66P1JDk5GQ9/vjj+tvf/uatqZKfn6+77rpL9957r/r376+OHTsqNTVVpaWl2rNnj9auXRv2Vt3Nbfjw4dp77729u0ht2bJFN998c8CxM2fO1MEHHxyxax955JE68MADvQVvKyoqdOONN+rhhx/Wvvvuq9TUVBUUFGjFihXe19FqterOO+/UZZddFrF5QBo9erSmTJmiRx55xNv366+/+gWJatX+O/hmaURD79699eijj2ry5MkqKyuT5HlPnjRpklJSUjRw4EC1a9dOdrtdpaWl2rFjh9auXdvowOWVV16p+++/X6WlpfrnP/+phx56SIMHD1ZGRoZ27NihZcuW+WUmnXnmmRo9enS9522O97/LL79cv/32mz755BNJnsDSrFmzNGvWLPXu3Vvdu3dXWlqaSkpKtGHDBv3+++/e5Wq+dY1iYfny5Vq+fLnuvvtuZWdnq0+fPsrOzlZiYqKKi4u1bt06v53YMjIydP3118doxgBaKoJBAIComTx5slJTU/Xggw96/zLtdDq1dOlSLV26NOAxffr00TPPPKPOnTuHfB23263ffvutwWVFxx9/fMjb69bU1Gj16tVavXp10DEWi0UXXnhhVH7Jbq7XrtbYsWO9wSBfffv2bdSObl26dNGsWbM0depUffbZZ97+2l2FfHcWCiQhIcGwQ1JLYLFY9PDDD2v8+PExKcT6yCOP6IILLtD69eu9fTt37gy4k11CQoJuv/32Rgd2Ub+JEycqJydH9913X73ZbllZWXrooYd02GGH6cMPP/T2R+vePvzww/XGG2/oiiuuMGybXlZW1uByLsmT+eSblVOf3r17a/r06d7gU0FBQb0Fn0877TTdfvvtIZ072u9/NptNjzzyiB588EE9//zzhrpE69atazVbzu/Zs0cLFy6sd0znzp315JNPhrwDIYD4wTIxAEBUXXzxxXrvvfc0ZswYw45eZl27dtVNN92kd955p8Ff5p944glNmjRJQ4YMaXD5ktVq1fDhw/XMM8/o4YcfNuwI5evVV1/V3//+dw0YMEA2m63ec9rtdh1zzDH673//qxtvvDGsLJxwROO1C6ZPnz4Bgz7hZgX5ysjI0JNPPqlXXnlFRx99tKGwdCB2u10HHXSQrrvuOn3xxRcaNmxYo68dLX379tX777+vf/7znzr66KPVpUsXpaSkhPwBuinat2+vN998UxdccEHQ19Jut2vkyJF68803w1oqiPCdffbZ+vjjj3X11VdryJAh3qybTp066aCDDtItt9yiuXPn6rDDDpMkQ+abb0HwSOvTp4/ef/993XfffRo0aFCD708ZGRkaPXq07r33Xs2fPz/oe2Qghx9+uN566y2NGTMm6HvxXnvtpUceeUT33HNPWO+V0X7/s1qtuvbaa/X+++/r+OOPbzBA17NnT02aNEmXXnppyNeIpPPOO0933HGHRo8eHdLyz27dumnKlCn66KOPIpq5CqDtsLipLAgAaCbl5eVatGiRtm7dqj179igxMVHt2rXTwIED1bt370ads7KyUqtXr9bGjRu1c+dOlZWVKSEhQenp6erRo4cGDhyorKyssM5ZUlKiNWvWaOPGjcrPz1d5ebkcDocyMjLUs2dPDRgwoNlrL0TjtWtuVVVVWrZsmbZs2aI9e/aosrJSKSkpysnJUa9evdS7d+8GA0bwKCkp0eLFi7VhwwaVlZUpOztbeXl5GjJkSNj3O5rHMcccoy1btkiSBg4cqHfeeadZrltYWKilS5dq586d2rNnj9xut9LS0tShQwf16tVLe+21V4MBcEl6++23dcMNN3jb5qWQ+fn5WrJkibZv367S0lK1b99e/fv318CBA5v8NTTH+19VVZWWLl2qLVu2KD8/XzU1NUpLS1PXrl29S1tbkg0bNui3337TH3/8oZKSEjmdTqWmpqpDhw7q37+/9tprr1hPEUALRzAIAAAAiKJt27YZduQ7/fTTDUXoW4OGgkEAgNaFZWIAAABAFM2aNcvQHjx4cIxmAgCAB8EgAAAAIEo2bNig5557ztu22+069thjYzgjAAAIBgEAAABhueGGG/Ttt982OO7XX3/VRRdd5N3qXfLsapiTkxPN6QEA0CC2lgcAAADC8OOPP+rtt99Wz549NWbMGO23337q3LmzkpOTVVRUpHXr1unzzz/XnDlzDNuWZ2dna+rUqTGcOQAAHgSDAAAAgEb47bff9NRTT4U0Nj09XY899pjatWsX5VkBANAwlokBAAAAYcjKygpr/EEHHaTXXntNBx10UHQmBABAmMgMAgAAAMLw0ksvaenSpfr222+1YsUKbdy4Ubt27VJ5ebkSEhKUmZmpTp06adiwYTrmmGM0dOjQWE8ZAAADi9vtdsd6EgAAAAAAAGgeLBMDAAAAAACIIwSDAAAAAAAA4gjBIAAAAAAAgDhCMAgAAAAAACCOsJsYGqWqqkoFBQXedmJiomw2W+wmBAAAAABAG+R0OlVZWeltZ2VlyeFwNOmcBIPQKAUFBdq0aVOspwEAAAAAQNzp0KFDk45nmRgAAAAAAEAcIRgEAAAAAAAQR1gmhkZJTEw0tLt166aUlJQYzSZ0a9euldPplM1m09577x3r6QARwX2Ntoj7Gm0V9zbaIu5rtEUt6b4uKyszlGkxfx5vDIJBaBRzseiUlBSlpaXFaDahs1qtcjqdslqtrWK+QCi4r9EWcV+jreLeRlvEfY22qCXf15HYvIllYgAAAAAAAHGEYBAAAAAAAEAcIRgEAAAAAAAQRwgGAQAAAAAAxBGCQQAAAAAAAHGEYBAAAAAAAEAcIRgEAAAAAAAQRwgGAQAAAAAAxBGCQQAAAAAAAHGEYBAAAAAAAEAcIRgEAAAAAAAQRwgGAQAAAAAAxJGEWE8Awa1evVqrVq3S9u3b5XA4lJeXp/33318dOnSI9dQAAAAAAEArRTAowt544w3dcssthr5JkyZp8uTJIZ9j3rx5mj59ulauXOn3nM1m0/Dhw3X99derT58+TZ4vAAAAAACILwSDImjXrl164IEHmnSO22+/Xa+88krQ551Op+bPn6/TTz9dt99+u0499dQmXQ8AAAAAJMntdqu8vFwlJSUqKyuT0+mUy+Vq8Liamhrv/9esWRPtaQLNItz72mq1ymazKSUlRWlpaUpOTpbFYon2NBuNYFAE3XXXXSosLGz08dOnTzcEglJSUnTyySerX79+qqys1KJFi/TZZ5/J5XKpsrJSN910kzp06KBDDz00EtMHAAAAEKcKCgq0Y8cOOZ3OsI+12Wzex7UfoIHWrrH3dXl5uXbv3i2bzaYOHTooKysrCrNrOoJBEfLVV1/pww8/lCT16tVL69evD+v45cuXa8aMGd52v3799OyzzyovL8/b97e//U2LFi3SxIkTVVRUpJqaGl1zzTWaO3euUlNTI/OFAAAAAIgbbrdbu3bt0q5du/yes1qtslob3nPIN/vB9wM00JqFe1+7XC5DJp3T6dTWrVtVXV2t9u3bt7gsIYJBEVBeXq7bbrtNkmS323XjjTfqkksuCescDz/8sPdxSkqKnnrqKUMgqNawYcN0xx136PLLL5ck7d69WzNnztTEiRMb/wUAAAAAiEs7d+7U7t27ve20tDSlp6crNTVVdrs9pHOUlZXJ7XbLYrEoJSUlWlMFmlVj7uvq6mqVlpaquLhYJSUlkjzlZNxud4vbCIqt5SPgscce05YtWyRJl156qXr27BnW8WvXrtWCBQu87QsvvFCdO3cOOn7MmDE64IADvO2XX345pLW8AAAAAFDL5XJpz5493nZeXp66deumrKyskANBAOrY7XZlZWWpW7duhuSOPXv2tLjP7ASDmujXX3/VzJkzJUndunXThAkTwj7HvHnzDO0zzjijwWN8x+zatUvLly8P+7oAAAAA4ldxcbH3A2pmZqZycnJiPCOg7cjJyVFmZqYkT+C1NlOopSAY1AQul0u33HKLt5jUP//5TyUmJoZ9ni+//NL7uEePHurWrVuDxxx22GFBzwEAAAAADSkqKvI+bqlFboHWrDYYJKlJm01FA8GgJnj55Zf1448/SvIs3RoxYkSjzuO7Td2QIUNCOqZjx47q2LGjt7169epGXRsAAABAfKqurpbkKZSbnJwc49kAbU9KSoq3cHTt91tLQTCokbZt26ZHHnlEkpSamqqbbrqpUefZvn27iouLve3u3buHfKzv2HXr1jXq+gAAAADiU+028jabrcXtdAS0BRaLxbsjX+33W0tBMKiRpk2bptLSUknS5ZdfHnDnr1Bs3rzZ0O7UqVPIx/qONZ8HAAAAAADEVksNtBIMaoQ5c+bos88+kyT1799fF1xwQaPPZS4i5bumsCEZGRnexzU1NaqsrGz0PAAAAAAAQHxIiPUEWpuSkhLdcccdkjwRvmnTpslmszX6fGVlZYa2w+EI+VhzserS0tJGFbCOhLVr13rT31qy2nWa1dXVWrFiRYxnA0QG9zXaIu5rtFXc22hJampqvEvEzJ9LwuF2u73/b8p5gJYkUve10+lUVVWVysvLG/2+H41t6QkGhenBBx/U9u3bJUlnnXVWyAWfgzFn89jt9pCPNQeOYpkZ5HQ6W9wayIa0tAJeQCRwX6Mt4r5GW8W9jZak9oNvSzkP0JJE4r52u90t6n2fYFAYli1bptdee02SlJOTo6uvvrrJ5zRn8oRzc1RVVdV7ruZks9laVWaQFF7gDWjJQrmvLaqSVaVyKlOsEEZrwPs12irubbQkNTU13sdNqWvi+0G5pdZHAcIV6fvaYrEoIaFxIRiXyxXx5AuCQSGqqanRLbfc4k3Pmjp1alj1fYJJSUkxtM0BnvqYM4FSU1ObPJ/G2nvvvZWWlhaz64dqxYoVqq6ult1u1+DBg2M9HSAiGryvq1ZL206XatZKySOlvHcka3rzTxQIA+/XaKu4t9GSrFmzxrtUzPy5JBxlZWVyu92yWCxNOg/QkkTqvrbZbHI4HEpISFCfPn0adY6SkhKtWrWq0XMIhD8Ph+j555/X6tWrJUkHHXSQTj311Iic1xxAKSwsDPlY37EJCQkxzQwC0IIVPeoJBElS+adS/i2xnQ8AAACAmCIYFIKdO3fq8ccfl+RJ57311lsjdu6uXbsa2lu3bg35WN+x5vMAgFfVL8Z20Qyp6ufYzAUAAABogunTp6tfv37q169fk3b2jncsEwvBrl27VFFRIcmzzm/ixIn1jjev5XvppZf03nvvedvTpk3ToYceKknKy8tTWlqad4v5DRs2hDyvjRs3eh/36tUr5OMAxBlXganDKe2+Quo4V2JdPwAAQJv2/fffa+HChZKkLl26aOzYsTGeEVoCgkFhqqqqMgRhQlFYWGhY0mXelq5v375asmSJJGn58uUhnXPbtm3eXc1qzwEAAbn2+PeVfyqVvSOl8ssAAABAW7Zw4ULNmDFDkqfkCcEgSCwTaxFGjBjhfbxhwwZt2rSpwWPmz59vaB955JERnxeANsIvM+hPu6+SXGWBnwMAAADQZpEZFIIBAwaEVbl78+bNGjlypLc9adIkTZ48Oej4UaNG6ZFHHvG2Z82apSuvvLLea8yaNcv7uF27dhoyZEjI8wMQR9xOyRWkMH3NBqnwfik7cnXQAAAAgGiaPHlyvZ+vERoyg1qAPn366JBDDvG2Z86cqT/++CPo+Dlz5mjp0qXe9nnnnSerlX9KAAG4iup/vuAeqTr0WmUAAAAAWj8yg1qIK6+8UmeffbYkT02hiRMn6tlnn1WHDh0M4xYtWqSbbrrJ287OztZFF13UnFMF0JoEXCJmkeT2PHRXSPnXSHlvNuOkAAAA0Jq5XC4tWbJEmzZt0s6dO+VwOHTkkUeqZ8+eAcfv2rVLq1ev1oYNG1RcXCyLxaKsrCz16tVLgwcPlt1ub9b5V1RU6Pvvv9fmzZtVWlqq7OxsDRkyRH369GnWecQSwaAWYsiQIZowYYKeeuopSdLKlSv1f//3fzrllFPUt29fVVZWatGiRfr000/lcrkkSTabTffff79SU1NjOXUALZlf8WiblDFeKnqirqt0llT+mZR8TDPOq0gqeV2ydZJSTmBXMwAAgAjr16+fX9/ChQsD9kv+5U2+//57XXjhhd72qlWr5Ha79dxzz+nFF1/Ujh07/M7hGwxavXq13n33XX3++edat25d0HmmpKTorLPO0vjx45WTk9Pg1zV9+nRDQeyXXnop5HFVVVWaPn26XnvtNRUV+WfQ77vvvrrttts0aNCgBufR2hEMakGmTJmigoICvfbaa5Kk0tJSvfrqqwHHOhwOTZs2TUcccURzThFAa2PODLJmS9n/kkpek1z5df27Lpe6LpMszfBjwe2UthwsVa/0tLOnSdn/jP51AQAA0GhVVVW67LLL9PXXX4c0/vrrr9fPP//c4LiysjK98MILmjNnjp5++umo7ZRdWFioSy+9tN4dvH/66SddcMEFevbZZ7XPPvtEZR4tBcGgFsRisWjatGk6/PDD9dhjj2n16tV+Y6xWq4YPH67rr7+e7eQBNMxpygyyZkm2HCnnTmnXxLr+6p+loielzGYoxle5oC4QJElFTxEMAgAAiLDu3btL8gRBCgs9G4okJiYqLy8v4PjMzMx6z3fvvfd6A0H77ruvjjrqKHXs2FGlpaX65ZdflJSUFPA4i8WigQMHasiQIerevbvS09NVUVGh9evX67PPPvPWy/3jjz80YcIEvffee0pLS2vU1xyMy+XSVVddpeXLl8tms2nEiBEaNmyYsrKylJ+fr08//VTLli2TJJWXl+vaa6/VrFmzlJycHNF5tCQEg6Kga9euYe0+ZjZ69GiNHj1aq1at0qpVq7Rjxw7Z7Xbl5eVp//33D/rNCwB+zJlBtmzP/9Mv9QRhqnz+MrLnn1LaOZItN7pzqtlibDu3Sq4SyRrZH/oAAADxbO7cuZKMy6X222+/oMuqGvLyyy/L4XDo7rvv1oknntjg+NTUVE2YMEFnnnmmunbtGnDMDTfcoH//+9965JFH5Ha7tWXLFj355JO69tprGzXHYJYsWSKXy6Vu3bppxowZ6t+/v+H5cePG6cknn/Tu8r1161a9++67OueccyI6j5aEYFAL1q9fv6DrOQEgJOaaQdYsz/8tNqnddGnrCJ+xBVL+zVLu09Gdk3O3f1/N75Jj3+heFwAARIzT7VZ+tedxWbXkdntKAKZUuWM7sRYmxy7Z2lBtxH/9618hBYIk6d///rcSExPrHZOQkKAJEyaovLzcWz931qxZuuKKK+RwOJo831oul0vp6el68cUX1aVLl4BjJk6cqPnz52vRokWSpP/9738EgwAArVSgmkG1ko+QUs+VSv9b11f8rKfAdOIBUZzTLv++6vUEgwAAaCXe3OHW5NXSjuranra7lKapOtil6X3dOrND6w8IDRo0SKeeemrI4xsKBPkaP368Zs6cqbKyMhUUFOinn37SAQdE9vfR8ePHBw0E1TrzzDO9waBVq1appqam2Xc6ay7WWE8AABBFwTKDarW7T7Kk+HS4pV2TPX/ei5aAmUHro3c9AAAQUeNW+QaCUJ8d1Z7Xqy045ZRTonbulJQU7bffft52KIWnw3Xaaac1OGbIkCHex1VVVd56Rm0RwSAAaMvqywySpISuUtZNxr7Kb6Wyd6M4pyCZQQAAAGixfAMl0dC+fXvv4+3bt0f03F26dDGcP5gOHToY2iUlJRGdR0vCMjEAaMucBca2Lct/TOZVUvFzxuycso+l1FOjNKdAmUG/RedaAAAg4p7pJ9MyMQTjWSYW61lERu3uZOHatWuXPvzwQy1atEirV6/Wnj17VFpaqpqamqDHFBcXN3aaAYUSCJI8GUq+ysvLIzqPloRgEAC0ZQ0tE5Mka5KU/ldpz611fTWbojcnJ5lBAAC0Zmd2sGhsrk8B6fJyud1uWSwWpbThrbgboy0VkE5NTQ1rfFVVlWbMmKHnn39e1dXhRQ6rqqrCGt+QcOoX+XJHs3RCjBEMQvxw7lZnx12y2Iu1q+YSSYNjPSMg+hpaJlYroZux7dwclelIklxBagbVbkMCAABaPJvFotw/N3sqq/HZTczBz/K2KiEh9PCB0+nU5Zdfrs8//9zvOZvNpqysLCUmJhrOuXv3bpWWlkpq20GYloJgEOLHjnPV3jFXkpRuXyq5T5IsfAugjQslM0iSbKZgUE0Ug0GBMoPcFZJzm5TQKXrXBQAAQLN47bXXDIGg/v376/zzz9fBBx+sLl26yGaz+R0zdepUzZ49uxlnGd/4JIz4UfGd96HDulWqWi4lDo3hhIBmEHJmUFfTcfmSq0yypgQe31juSskdpBBfzW8EgwAAANqAmTNneh8feuihevrpp+VwOOo9pqioKNrTgg92E0P8sKYZ287IVqgHWhxXhSfjxlewzKCELv59zi0Rn1LA4tG1qBsEAADQ6m3fvl2///67tz1lypQGA0GStHlzFDPT4YdgEOKHzbhNoJw7YjMPoLmYs4IkyRYkM8iaLlkzjX3RKCIdqF6Q93oEgwAAACLNty6Py+WK+vXM28L379+/wWPy8/O1du3aaE0JARAMQvyw5RnbZAahrTPXC5KCZwZJks20VCwadYMC1QuqRWYQAABAxPlulx7pLdtDUVlZ2eCYV199tVkCVahDMAjxg2AQ4o05M8iSKlnswceb6wZFJRhUX2bQb5G/HgAAQJzr0qWuHMCGDRsivm27WadOxhqQX3zxRb3jV61apWeeeSaKM0IgBIMQP/yWiREMQhvnVzw6q/7xzbG9fH3LxMgMAgAAiLhBgwbJYrFIkioqKvTwww+HlK3TWLm5uerbt6+3fe+992rNmjUBxy5YsEAXXXSRKisrZbUSnmhO7CaG+OGXGUTNILRxoW4rX6tZMoPqWSbm3OIpem1Nivx1AQAA4lReXp4OO+wwzZ8/X5L0/PPP65VXXlGXLl0MhZ3POeccnXvuuRG55iWXXKLrrrtOkrRr1y6NHTtWxx57rPbff38lJydrx44d+uabb/TDDz9Ikvr27atevXrp448/jsj10TCCQYgfLBNDvHEWGNvBikd7n2+GYFB9mUFySzUbJEe/yF8XAAAgjt1222268MIL9ccff0jy1PFZv96Ylb1rVz1/tAvTKaecou+//15vvfWWJKmqqkoffPCBPvjgA7+x3bp104wZM/Tkk09G7PpoGHlYiB8EgxBvmpwZFIXdxOrLDJKoGwQAABAF3bp107vvvqupU6dq+PDhys3NVWJiYlSveeedd+qGG25QVlZWwOdTUlJ09tlna/bs2erRo0dU5wJ/Frfb7Y71JND6lJSUaNWqVd52v379lJaWFsMZhaByqbTlAJ8Oq9SzSrLYwj+XM9+zzMzeu/6CvEAzWLFihaqrq2W32zV48OC6J3ZfKxU+UNdOu0DqMDP4iap+ljbva+zbqzyyy7a2niCVfxT8+XaPS5mXRe56aLWC3tdAK8e9jZZkzZo1qqmpUUJCgvr06dPo85SVlcntdstisRh2rgIkTxbS4sWLtXbtWpWVlSk7O1sdO3bUQQcdpOTk5FhPL6hI3deR+D6Lxudvlokhfpgzg+TyLFkxF5ZuSMU30raTPFkXSSOkju9L1oyITROImKZmBkmeOj7W3hGbklwNZQZRRBoAAKAtSUxM1KGHHqpDDz001lOBD5aJIX7Ycv37GrNUrOC+ug/ZFV9J+Tc0bV5AtPjtJtZAzSBrpmRJN/ZFum6QeWt5u6k+EDuKAQAAAFFHMAjxw2JXjTvL2FfTiGBQ9a/GdtETUvnXjZ4WEDXOMDODpOjvKGbODEo8yHQ9gkEAAABAtBEMQlypcecYO1xhbi/vdks1f/j37/q75Cpv/MSAaDBnBjW0m5jkHwxyRjAY5K6WXIXGvsQDje3q3zzfZwAAAACihmAQ4kqNyxQMCjczyF0suUv9+6vXSHumNX5iQDT4LRPLaviYaG4v78z37zMHg9xFkivAOAAAAAARQzAIcaXG3c7YEW7NoJqtwZ8rfECqXBz+pIBoCbeAtBTd7eVdu/37HPtJMu3oR90gAAAAIKoIBiGu+C0TCzcY5AywRKzuSWnn3z1LYYBYc7v8l2Q1VEBaim7NIKepXpA1U7ImSwk9TNckGAQAAABEE8EgxBX/zKAwawY568kMkqSq5VLB/eGdE4gGd7Ekl7EvpMygbsZ2JGsGmTODrH9+P9p7GftrfovcNQEAAAD4IRiEuNL0ZWKmzKCkIyTHIGPfnmlS1crwJwdEkrPAv69RBaS3S+6qiEzJLzPI1v7Pa/Y09rNMDAAAAIgqgkGIK9WRXiaW0ENq/5yM30pVfy4XM2VlAM3JXC9IVsmS1vBx5gLSUuAd9Boj5MwggkEAAABANBEMQlzxrxm0I7xtrM0FpG2dpaQDpcyrjP2V30pFTzRukkAkBNpJzBLCW741S7KkGPsitVQsaGaQKRhEZhAAAAAQVQSDEFf8lompyr/Ibn38MoM6e/6fPU1K6G18Lv96qXpD2HMEIqIxO4lJksUSvR3FnKFmBm2U3DWRuSYAAAAAPwSDEFf8MoOk8JaKmQtI2zp5/m9NkXKfNT7nLpV2jQ8v8wiIFL/MoBDqBdUyLxWL1I5irhBrBskZ2S3tAQAAABgQDEJccStZTrd5CUwYwSBz7ZTazCBJSj5aSh9nfL78E6nkpfAmCUSCuYC0LSv0Y807ikUqGGTODLL9mRlkzZEsGaZrslQMAAAAiBaCQYg71a4AdYNC4Sr2ZPv4qs0MqtXuPk8dIV+7p0g1YRaqBpqqscvEpADLxKKUGWT9MzPIYvFfKkbdIAAAACBqCAYh7vgXkQ4xUBNoRyVzMMiaKbV/ytjn2iPlmwpMA9HWlGViftvLRzkzSPIvIl3zW2SuCQAAAMAPwSDEnWqXqYh0qMEgc/Foa5anVpBZ6klS6jnGvpJXpbJ5Ic8RaLKmZAZFo2aQ2+k/p9qaQZJkN9UNIjMIAAAAiBqCQYg7NW5ThkSoy8SCFY8OpN0j/h++d18muSpCuxbQVBHNDNoquaubOJ89kkzF1K31ZQYRDAIAAACihWAQ4k6jM4PqKx5tlpAn5dxjuvAaqeCewOOBSHNGsGaQ3P7B0LDns8u/z3eZGDWDAAAAgGZDMAhxp9E1g8LJDJKk9EulxEOMfQV3S1WrQ7se0BTmzCBbGJlB1naSJcnY19SlYi5TvSBLmmRJrGubM4NcuyVXUdOuCQAAACAggkGIO/67iTUyM8i8a5iZxfpnMWmbT2eVtGui5HYHOwqIjKbUDLJYIl83yJwZZDNl6Nl7SLIY+6opIg0AAABEA8EgxB3/zKBQawaZl4k1kBkkSYn7SZlTjH0Vn3kKSgPR1JSaQVLkt5c37yRmbW9sWxIlWxfTNVkqBgAAAEQDwSDEHb/MIHeJ5Cpr+EC/ZWINZAbVyr5NsnUz9uVf5V/TBYgUd5XkNt3T4WQGSZHfXt7VQGaQRN0gAAAAoJkQDELc8SsgLYW2VCycAtK+rGlS++mm6+2Q8m8I7XggXOasIKnpwaCaTY2djYc5M8jW3n+M345iLBMDAAAAooFgEOKOS6lyue3GzoaWirmKJXepsa+hAtK+Uk+RUk4x9hU/LVUsCP0cQKicBf594QaDIl0zyJwZZA2UGdTT2CYzCAAAAIiKhFhPAGh+FtW428lh2VbX1VBmkDkrSAovGCRJ7R+TNs01Lt/ZNUHqskiy2IMfB4TLXDzakiRZkwKPDSbBtLQx0jWDQsoMIhgEAADQVN9//70WLlwoSerSpYvGjh0b4xlF1rx58/Trr79KkgYMGKBRo0bFeEatA8EgxKUadzs5FEYwyFw82popWVPCu2hCdyl7mpR/bV1f1Qqp8DEp6+rwzgXUp6nFo6UANYO2Su4aydLIHxvm3cQCZgaZawb9Jrldnp35AAAA0CgLFy7UjBkzJEkHHXRQmwwGvfPOO5Kk0047jWBQiPgNG3HJf0exhoJBjSwebZZ5heQYbOzbc6tUs7Fx5wMCacq28rXMwSA5Q6utFYyrEZlBqvIPxAIAAABoMoJBiEthby/f2OLRZha71P4pSZa6PneptOvyxp0PCCQSmUHW9pIcxr6mLBULJTPIlidZko191RSRBgAAACKNYBDiUo3b9EE07MygMOsF+UoaLqWPM/aVvSuVzm78OQFfzghkBlmsUkIXY19jg0Ful+TKN/YFygyyWKQEUxFp6gYBAAAAEUfNIMSlsINB5sygxi4Tq5Vzt1T6tuTaWde3a6KUdKRka0QWB+DLnBnU2Hsqoatxe3dnI7eXdxVIcpnmFCAzSPLUDar+pa7NjmIAAAAtym+//aaff/5Zu3btUnV1tdq3b68BAwaof//+jTrfjh07tGLFCm3dulUlJSWy2WxKS0tT586dtffee6trV3P5AkQCwSDEpfAzg8zLxJqQGSR5Ppy3e1jaeb7PNbZJu6+UOrzQtHMDfsvEshp3nkjtKGauFyQFXiYmsaMYAABAhPTr18+vb+HChQH7JWnSpEmaPHlywOdcLpfefvttPfvss/r9998DjunRo4emTJmi448/PqT5rVixQg899JC+++47ud3uoONyc3N17LHH6sYbb1RCgieEsXnzZo0cOdJv7DvvvOMtJm129913t7ni2U3BMjHEpbBrBkWqgLSvtL9IyaY3ypIXpbL/Nf3ciG+RKCAtSTbTX2EaGwwy1wuyJAffjc9uWiZGzSAAAICY2rNnj/7yl7/opptuChoIkqQNGzboyiuv1HXXXSen01nvOd9++22dc845WrBgQb2BIEnauXOnXnnlFVVWVjZm+giCzCDEpWpzMMiVL7mrPQWeA4lUAWlfFouU+7S0aR/JXVTXv3Oc1O0nz/b1QGNEooC05L+jWKODQabMIGuAekHea5IZBAAAEAndu3eXJBUWFqqwsFCSlJiYqLy8vIDjMzP9P38UFBTovPPO07p167x9ubm5GjVqlPbee28lJiZq48aN+vjjj7Vxo2eH5HfffVdJSUm6/fbbA15n1apVuvnmm70Bo8TERB199NHaZ599lJOTI7fbrcLCQq1Zs0aLFy/Wpk3+pQrsdrv369u9e7dKS0slSampqWrXLnAGelpaWsD+eEUwCHGpxhXgDcK5w79griS5ij07fvlqSgFpXwldpXYPSrsu9ZnHZmn3dZ5AEdAYkcoMMgeDnI1dJmbKDApWL0jy1AwyXHOr5CoLnkkEAACAgObOnStJmj59umbMmCFJ2m+//fTSSy+FfI5bb73VEAi6+OKLdcUVVygpKckw7vLLL9cDDzygF154QZL0+uuva9SoURoxYoTfOZ9//nlvIKhXr1567rnn1Llz8D+2r1y5UjNnzpTVWrewKS8vz/v1XX/99d6lYccee6zuueeekL++eMYyMcQlpzLld/sHWypmzgqSIhcMkqT0v0vJo4x9xc9I5Z9G7hqIL84CY7uxBaT9lolt8ewMFvZ8TJlBgXYSq2XeTUySan4P/5oAAABokq+//loff/yxtz1+/HhNnTrVLxAkeTJ1brjhBp144onevkcffTTgeb///nvv42uvvbbeQJAk9e/fX3fddZeSk5PD/RJQD4JBiFM2yZZr7ApWRNpcPNqaGdksBYtFav+sZEk19u+8RHKVRO46iB/RygxSTcPF1gPOx5QZFKx4tCRZUyVbB9NlqRsEAADQ3F588UXv4x49euiKK65o8JgbbrhBdrun9MZPP/2kX375xW/Mrl11vxv26NEjAjNFY7BMDPHLlmf8YBs0GBSF4tFm9r2knHul3ZPq+mp+l/JvkNpPj/z10Ha53ZGrGWTLk+fHRE1dX83m8HfTCyczSPLUDfLN1GN7eQAAWh6301N3U/Is6Xa7PX/kdLK028CaI1lssZ5F2AoLCzV//nxv+7zzzpPN1vDX0b59ex166KH68ssvJUkLFizQwIEDDWOSkpJUXV0tSVqyZIl69+4dwZkjVASDEL9spsJpwYJB5mVikVwi5itjolT6hlTxVV1f0Qwp9Swp+YjoXBNtj7tEkmn3hsZmBlmsnjpaNRvq+pybJR0Y3nnMu4nVlxkkeeoGVX5X1yYYBABAy1LypuePmH/+8YbwTz1sHaR2M6S0M2M9k7AsW7bMsMvXEUeE/nlk8ODB3mDQjz/+6Pf8gAEDtHDhQknSPffco7S0NI0ZM8ZQEwjRx6uN+GVeihKsZpA5MygSO4kFYrFKuc95tt32tfNiz19bgFCYs4KkxmcGSZHZXt7ViMwgwzUJBgEA0KLsujT4784wcu4wbhbTSqxcudL72G63h7Wcy3c3r23btvk9f/bZZ3sfl5SUaMqUKTr66KM1bdo0zZkzR/n5+Y2cNcJBZhDiV6Mzg6IUDJIk+95S9p1S/lU+118r7fmn1O6B6F0XbYdfMMgiWTMaf76ErlKlT7sxwSBzZlB9u4lJ/kWkqRkEAADQrAoKCryPq6ur/ZZ6haq4uNiv78QTT9T333+vN954w9u3bds2vfrqq3r11VdlsVjUp08fHXXUUTr11FNZRhYlZAYhfoUaDPLLDIrSMrFamZdLicONfYUPSxXfBR4P+HKai0dneLLOGisS28ubM4OsDWQGmbeXr17vqUMAAABahvbP+mfZIzBbB8/r1coECuI0Rnl5ecD+f/3rX7r33nvVvXt3v+fcbrdWr16tZ555RieccIKuvvpqFRYWRmQ+qENmEOJXyMvEmjEzSPIUmMt9XtoyRHLXpmS4PMvFuiyK7E5maHsiVTy6ljkYVLMpvOPd7gAFpEOoGWQ4R6nk2skvnQAAtBRpZ0qpY70FpMvKy+R2u2WxWJSSzO+qBq20gLTv9vF2u12dOjXuD+IdO3YM+typp56qU045RUuWLNE333yjH374QcuXL1dlZV1autvt1gcffKBffvlFr7/+ujIympDxDgOCQYhfLa2AtC9Hfyn7Ns9uYrWqf5U2D5LaPSqlnhj9OaB1itS28rWaWjPIXSTDbmRSw5lBti6S7JKq6/qq1xMMAgCgJbHYJFuu57HVZzcxG8GgtiArK8v7ODs7W3Pnzo3KdSwWi4YOHaqhQ4dKkqqqqvTDDz/oo48+0gcffKCKigpJ0vr16zVjxgzdeOONUZlHPGKZGOKXXzBop+R2GftcxZ6sBF/RKiBtlnmN5Bhq7KtZL20/Sdp2olS9tnnmgdYl4plB3Yztmi3+3yf1MdcLkhrODLLYpARTkULqBgEAADSbXr3qMrV37twZsWVjDXE4HDrssMN055136v3331dOTo73uQ8//LBZ5hAvCAYhfpmDQXL61zYxZwVJzZMZJEmWBKnDC5Il3f+5sg+lTftI+Tez0xiM/GoGZTXtfOZlYqqSXAECPEHnY/qesiRKltSGjwtUNwgAAABhS0ioWxDkcoX2R70DDzzQ+9jtduvrr7+O+Lwa0r17d40fP97b3rVrl6Gwda3GfH0gGIR4VpvW6stcN8hcPNqa2bw1exz7Sl2+lRIPC/BklVRwp7R5gFTyFgV24WHODLI1MTPI1lGSaZ17OEvFzIEjaztPCnlD2F4eAAAgIlJS6j6/hJrhk5ub6126JUnPPfec3DH4vNGzp3GXWafT6TemMV8fCAYhnlkc/ktozHWDmrt4dCCOfaXOX0u5L/35wdykZqO04wxp27FS1a/NPz+0LJGuGWSx+WfDhRMM8ise3UC9oFpkBgEAAEREly5dvI83bNigqqqqkI4bN26c9/FPP/2kGTNmhHVdp9Opmhpj7cjy8nLl5+eHfI7Vq1d7HycnJys72/8PnZ07131GW7NmTVhzjGcEgxDfGioiHYvi0YFYLFL6+VK3VVLmVfLL1JCk8nnS5iFS6fvNPTu0JJGuGSQF2FEsnMwg87byDdQL8l7T+FcgagYBAAA0zqBBg2T5MzO7oqJCDz/8sGHHrmCOOuoojRkzxtueMWOG/vnPf2rPnj31HCVt375d//nPfzR69Ght27bN8Nzu3bt1zDHH6I477tCvv9b/h+zFixfr6aefNszHavUPYey3337ex5s2bdILL7zgF4SCP3YTQ3yz5UnVK+vaDS0Ta67i0cFYM6R2D0rpF0u7JksVn5sGVEk7L5AcyyV7j4CnQBvnFwzKavo5E7pKvr8vOMPYXt5cQLqxmUE1Gz3b2psLWgMAAKBeeXl5OuywwzR//nxJ0vPPP69XXnlFXbp0kcPh8I4755xzdO655xqOveuuu7RhwwatXOn5zPT666/rvffe0xFHHKFBgwZ5M3WKior0+++/66efftKvv/5a75Ky8vJyvfTSS3rppZfUvXt37b///tp7772VnZ0ti8WiHTt2aNGiRfr222+950lMTNQVV1wR8HxDhgxRz5499dtvnj8e3n333Xr00UfVqVMn2e1277jLL79cI0eODPfla7MIBiG+mbeqbjAzKMbBoFqOfaROn0qlb0q7r5acPpkarkJp5189z1sCZBChbYv0MjEpwI5iTVgmFmpmkH2gp3i6u3bdt1sqfl7KvjX0awMAAECSdNttt+nCCy/UH394Pt9UVlZq/XrjMvxdu/w3CUlLS9Orr76qa665Rp999pkkTzBnzpw5mjNnToPXDZTJ42vjxo3auHFjvWNSU1M1ffp0v/pBtSwWi+677z5deuml3gLTZWVlWrdunWFcYWFhg/ONJywTQ3xraJmYX2ZQjJaJBWKxSGlnSd1+lVJPNz5X8aVU+EBs5oXYchYY200tIC1JtqYsE2tkZpA1SUr7i7Gv6DnJ7V80EAAAAPXr1q2b3n33XU2dOlXDhw9Xbm6uEhMTQzo2NTVVTz75pJ599lkNGzaswQBP3759NW7cOH300UeGej6S1KFDB/3rX//S0UcfrfT0ALsm+0hJSdHpp5+u//3vfzrssEAb6tQZPHiw3n//fU2ePFlDhw5VTk6OISsI/sgMQnxrMBjUQjODfFnTpNznpMpFUs2Guv78W6Tk0VLiAbGbG5pfVDKDmhAM8isgHWJmkCRljJOK69aJy7lJKp8jpRwX+jkAAAAgScrIyNDFF1+siy++uFHHjxgxQiNGjFBhYaEWL16sHTt2qKCgQDabTRkZGerevbv69eunnJycoOdwOBw666yzdNZZZ8nlcmndunX67bfftG3bNpWWlspmsykzM1O9e/fWPvvso+Tk5JDn16FDB02aNEmTJk1q1NcXbwgGIb75LRMz1QxqKQWkG2LN9Ow2tvUoSa4/O6ulHedJXRZL1pR6DkbbUSO5S4xd0Sgg7dwsud2hbRHvt7V8iJlBkieQ6ThAqlpS11f0DMEgAACAGMrMzNQxxxzT5PNYrVb16dNHffr0icCsEC6WiSG+1ZcZ5CqW3KXG52NdQLo+yUdIWdcb+6pXSvnXxWY+aHY2Fft3RiMzyF0huULcErQpmUGSlHGpsV32vlSzNfBYAAAAACEhGIT4FigYVFv53pwVJLXczKBa2bdKjqHGvqLHpbKPYjMfNCubJVAwKBI1gzpJMmUB1YSwo5jb7b+bWDiZQZKnbpDFN7PNKRW/EN45AAAAABgQDEJ8MweD3JV1uxeZi0dbM1v+ciuLQ+rwsmQxra3debH/Eji0OTZLkanHIVmSmn5ii90/EBpK3SB3qaQqY1+4mUHWDCn1bGNf8b8ltyvweAAAAAANIhiE+GauGSTVLRVrDcWjA3H0l9o9ZOxzbpd2XlqX9YQ2yS8zyJYdWl2fUASqG9QQc1aQFPpuYr4yxhnbNeulis/DPw8AAAAASQSDEO+sqZIl1dhXGwxqLcWjA0kfL6WcaOwre08qfjY280Gz8KsZFIl6Qd6TN2JHMZepXpASJEv9W4gGlHiwZN/X2Ff0TPjnAQAAACCJYBDgv1SspjYzyLRMrCUXjzazWDzbzZszn3ZfKVWtjs2cEHV+y8QiUS+oVmO2lzdnBtnaNy5TyWLxLyRd+o7k3Bn+uQAAAAAQDAL8AiauP2vrtObMIMnzdbV/ztjnLpN2ni+5q2MzJ0SV3zKxSGYGNWaZmDkzyBpmvSBfaedLlkSfjmqpeGbjzwcAAADEMYJBQFvMDKqVeqKUMdHYV/mDtPVYqeL72MyptXO7paqVLXJ7c//MoKzIndwvMyiE3cQCZQY1li1HSj3D2Ff8LHWwAAAAgEYgGAQE2l5ear0FpM1yHpDs/Yx9FV9IfxwibTtZqlwRk2m1WjsvlDYPkDbuJZW8FuvZGAQsIB0pCd2M7ZrNDQdinBHMDJKkdFMh6epVUsXXTTsnAAAAEIcIBgHBgkHmzI/WtkysljVF6vCKpAT/58rel7bsJ20/R6pa1exTa3Uql0glL//ZqJLyb4rpdMxsimJmkLmAtLtMchXUf4wrgplBkpR0hH9gk6LoAAAAQNgIBgHmmkHOHZKrWHKXGPtb4zKxWolDpY7vBc9uKn1d2jxQ2nGxVP17s06tVamYb2zXrJec+bGZSwD+NYMimRkU4N5pqG6QOTPI1sTMIItFSr/E2Fc6S3Luadp5AQAAgDhDMAgIlBlkLh4ttd7MoFopx0nd1ko5D0rWQBkaLqnkP9KmvtKuSZKzoPHXqtku7ZwgbTtFKv+y8edpaSp/8O+r+qn55xFEVGsGWRwB6ms1EAwyZwYFvO/ClP5XSfa6trvCJ1sLAAAAQCgCrBtBKEpKSrR27Vpt2bJFO3fuVFlZmRwOhzIzM9W7d28NGDBAycnJsZ4mQhEoGGQuHm3N9Cy3au2syVLWVZ5tugsflQofkFyFpkHVUtHjUvnnUucvJFtueNeo2SZtHSFVr/G0yz+Tuq8P/zwtUcBg0I9S8ojmn0sAUc0MkjxLxWqXUUoNB4MinRkkee6j1FOl0jfr+oqflTImNW7begAAACAOEQwKw48//qiZM2dq6dKl2rSp/p10kpKSdOyxx2rChAnq3bt3g+e+4IILtHDhwrDndNttt+ncc88N+zj4MAeD3MVS9XrTmFa8RCwQa7qUfbOUcZknIFT4qKcGjK/qX6Sto6ROn4X+Id65y3NMbSBI8iy3K/voz4yOVsxV6ClYbNaCMoOsiuLW8pJnR7GqxXXthnYUi+RuYr7SxxmDQVU/SpXfS0mHROb8AAAAQBvHMrEwLF68WO+9916DgSBJqqio0HvvvadTTjlFL774YjPMDo1mrhkkSVXLTGNa+RKxYGw5Us5dUvffpIwpkiXR+HzVCmnr6NBqsjgLpK1jpOqf/Z+r+CoSs42tysWB+6t+bN55BOX2XyYWyd3EpAA7ijXwXuiK8G5itZKPkRJ6GvsoJA0AAIAWyN3QDrwxQmZQI3Xs2FH77befevXqpdzcXKWkpKi0tFS//fabvvjiC23e7Fk+UV1drbvuuksOhyPkDJ7MzExlZmaGNDY9Pb3RXwP+ZM2S5JBUVddXtdQ4pjUXjw6FrYPU/mEpc7K0daRU83vdc1VLpW1jpE5zPcvlAnEVS9uOk6qWBH6+vC0EgwIsEZOk6p88W6zHeImSRZWyWmqMnRHPDOphbFd+G3ysq0xylxv7IpUZZLF6Cknv8dnNreQ1qd3DkjUjMtcAACAO2Gw21dTUyOl0yu12y8KSayCi3G63XC6XJM/3W0tCMCgMPXv21I033qhjjjlG3bp1Czru5ptv1ssvv6y7775bTqdTknTfffdp5MiR6tAhQBaKyQUXXKDJkydHbN5ogMXiCYb47oxUudw4pq1mBpnZe0mdPpf+GCE5fbI+Kn+Qtv6f1OkT/w/brnJp28lS5XfBz1uzVqrZKiW04tcxWDDIVei5d8xZM80swZwVJEU+GJR0pLFdvVqqXivZ9/Yfa84KkiKXGSRJ6X+T9vxTkuc9Vu4yqeS/Usb4yF0DAIA2zm63q7KyUm63W+Xl5UpJaQM1MoEWpKyszJsZZLfbGxjdvFgmFoYjjzxSf/3rX+sNBEmSxWLxC+iUlZXpo48+ivYU0VjmpWJuU+2Vtp4Z5Mu+l9T5c8nWxdhf+Z209XjJVVLX566Uto+VKr4wjrV1kiymrLWKr6Mx2+YTLBgktYilYn7Fo6XgmVyNlTjUv8ZW2YeBx5rrBckW2fkkdJJSTjT2FT0TufMDABAHMjLq/shXUFAQu4kAbVRhYd1mPaGu/mkuBIOi6C9/+Yus1rqX+McfY/+BEUGYP+D6PR9HwSBJsvf+s3C0KZOn8htp24mSq1RyV0vbz5HKPzaOsbaXOs2Tko4w9rfmukHOHVLNxuDPt4Ai0n7BIEu6ZIlw8qfFKiUfb+wLGgwy1wvK8RwfSRnjjO2qJVJFPUE7AABgkJ6e7v28UlhYqPz8/BjPCGgb3G638vPzvcEgq9WqtLS0GM/KiGBQFGVmZqpdu7plEXv2hFCEF7HRYDCoFS9vaixH3z8DQqasqYovPcvCdlwolc02PmfN8tQWcgz03269NQeD6ssKklpEZlCC1RQMinTx6FopJxjb5V94akaZuaK0k5iv5DGSzZSpWfRE5K8DAEAbZbValZ1d9zvD9u3btWnTJhUUFKi6ujqGMwNap+rqahUUFGjz5s3avn27tz87O9uQKNISUDMoitxut8rK6rbrbmlpYfDRUDAonpaJ+XL0lzp9Kv1xtPHDfcVn/mMt6VLHT6TEIZ62OTOo6ifJme/Zway1aSjbpEVkBplqBkW6XlCtlNGS7JJqf0GslsrnSamnGceZM4NsEawXVMti89QI2nNzXV/pa5LzgehcDwCANig3N1cWi0W7dnl+1yspKVFJiacsgNVqDekDbG2dVKnlFckFGivc+9rlcnmLRftq37692rePwh9Gm4hgUBQtXrxYpaWl3vbQoUNjOBvUK9D28obn4zAzqJZjX8+yr63HSK4gqcOWZKnjh1LSQXV9icMkS5Lkrvizwy1VfCOlnhT1KUdc5UJjO3GYVLmorl39q+SuifyyrDD4LROzRikzyJrhCfT5BgTLPvQPBpkzg6xR+gGYfom0Z5q8wSl3hVT8HynrmuhcDwCANsZisSg3N1d2u107duwwfAAO9uHWrKqqbldeh8MRlXkCza2p97XNZlOHDh2UlZUVwVlFDsGgKMnPz9e0adO87ZycHJ1yyikhHTt//nwtXrxYa9asUWFhoZKTk5Wdna0BAwZo+PDhOvHEE1vcesNWr77MIGumZI3znRUS9/Ms/9o6UnIVmJ50SHnvSsmmTCCLQ0ocLlV8XtdX8VXrCwa53f7LxNL+ZgwGuSul6jWSY0Dzzs2HzVJi7IhWZpDkKdxsCAZ95HmdfLejbY7MIElKyJNSz5BK/1vXV/SklHlV5GsUAQDQhmVlZSkzM1MVFRUqKSlRaWmpnE5nSMGg8vJy79b0CQl8xETbEO59bbVaZbPZlJqaqrS0NCUlJcni+/txC8N3agSVlpZq06ZN+vrrr/XCCy94Uy0dDoceeOABpaenN3AGj2XLlhna1dXVKioq0oYNG/Txxx/roYce0mWXXaaLLroowl9BHKsvGBTPWUG+Eg+QOs6Rto6S3LVLkhKkvFl/Lh0KIOkI/2BQa1OzwT/LJeX/pIJOknNrXV/VTzENBvltLR+tzCDJUzco/6q6tnOrVLXUc494+5opM0iSMv9hDAbVrJfKP5FSjoveNQEAaIMsFouSk5OVnJys3NzckI9bsWKFqqurlZCQoD59+kRxhkDzaev3NcGgJrj++uv1zjvv1Dtmn3320bRp0zRo0KCwzp2YmKjMzExZLBbt2bPHkKJWWFiou+++W0uWLNFDDz1E9D0S6lsmFm87idUn6UCp81dS/lTJXSZl3yYlHxN8fPIIqcCnXbnEszW9tRVltpmzgqztpISenuVz5b7BoB8lndmsU/Plv0wsK3oXc/SVEvaWatbW9ZV9YAwGuZopM0iSEg+VHIOlqhV1fUVPEAwCAAAAgiCHPkosFovOOussPf/88yEHgg455BDddttt+vjjj7Vs2TJ9/fXX+uqrr7Rs2TK9+eabOvPMMw2Fqz755BP961//itaXEF/qywyK1+LRwSTuJ3X62BMUqi8QJEmJh8gYc66RKr6L5uwizxwMShzmWQ7lMH1fx7iItF8wyJYV3QuadxUzbzFvzgyKxm5itSwWKeMy//lU/x69awIAAACtmMXtdrtjPYnW6v7779ecOXMkeYqrlZSUqKCgwDAmJSVFEydO1CWXXFJvJf78/Hzl5DS8y9LChQs1ceJEb4V/SXr11VebvTh1SUmJVq1a5W3bbLYWt1VeIL5bZNrtdp9nnBqUOkwWi/+a6B1VF2lb1ZXNMLu2qXfyBUq11WVsbK8ap+1V/4jhjMLTK+nvSkuoqw+0vepSba+apOyEd9Ut6Z/e/kpXd60qez8WU1R1dbX6po1Xun2xt29L5XXaXX1e1K6ZZvtOvZLHe9tut0W/lH0qp9uTAdQ/5Tg5rH94n/+9/FEVOY+K2nysKtOA1NGG2kk7qv6mbVVTonZNRFfw92ugdePeRlvEfY22qCXd1y6Xy1DcvV+/fk2uI8z6oia49tprde211xr68vPz9eWXX+rZZ5/VunXrVFZWpgcffFDr1q3TvffeG/RcoQSCJOmggw7Svffeq3/8o+7D9FNPPaVnn322cV9EhDidTsPN2Rr4fnNLUo07S3aL/25ZlTU5fmMRuuKE/QzBoBTLolb0erqUnPqroae4qr+qq6tV4tpLSqrrd1g2yVldJJeSm3eKfzJnBlXVpET1dS6oHixnUopsljJJksXiVoq+Un71iX/OZ49hfEV1mqqd0fx3t2t35QnqkPS6tyc74R1tLr1EbiVG8bpoDq3nPQMID/c22iLua7RFbfG+JhgUYTk5OTrttNN0wgkn6JprrtEnn3wiSZo9e7aGDh2qs846q8nXGDVqlPbff38tXbpUkvTdd9+poqJCSUlJDRwZPa0/M0iqcefILv9gkMuaF/NIcGtW7j5Q0kvedmrCz3LY3XKr5W87mmhZL5ul1NBXZdlPdrtdNeort9sii8WTXGmxuJWWuEnlrn2afZ7V1dUBt5aP7n1rV4nzEGUm1O0qlp34jYrdp8miStks5YbRFlt72a3R/T7a4zxXHVQXDLJbC9Q++XMV1LSyHewgqWX9NQ6IJO5ttEXc12iLWtJ9bc4MigSCQVHicDh033336aefftKWLVskSU8++aTOOOOMiARNRo0a5Q0GVVVV6ZdfftEBBxzQwFHRs/fee7eK7e5rK8Lb7XYNHjzY+OTWHlL5Wr9jevQcLiUP9utHiJzdpA1XSPIETayWSg3qWyklDYvtvEJRvEza6dO2ddHAQSPr2ht7G4oo9+lRIaU3/72yYsUKJViNu4n17LV/9O/bor9Iu+qCQVn275XVZ4Dk3CFtNA7tN/Cw6BaRliQNlv44xrDtfffMD9S9y01Rvi6iod73a6AV495GW8R9jbaoJd3X5jItkdDyUzlasaSkJI0dO9bb/uOPP7R69eqInHuvvfYytPPz/TNaEKZgRaQpIN00tmzPTk++ylvJFvN+xaMPNLZbTBFpp18Gk2xR3Fq+Vsrxxra7SKqYLzlNO4nJEt3dzXyZC0lXfufZxQ4AAACAF8GgKOvfv7+hvWHDhoic17wkrKKiIiLnjWvBgkG2Ts07j7Yo6QhjuyLEYJDbLRU9J+28VCr7OPLzakiDwaB9je2qH6M7nyBsKvXvbI7gS0InyWEqXl/2oeQy7SRmzZEsNjWL1FMkmymAW/RE81wbAAAAaCUIBkWZw2GsixKpdX67dhk/bGVnN0MWQFtn6+DfZ82UrCnNP5e2JmmEsV3xjeQO4Xuh6DFp1yVS8b+lbSdIZXOiM79A3FVS1TJjXwvNDLJZivw7rc30nuC3xfwH/plBUV8e5sOSIGWMN/aVvCo59wQeDwAAAMQhgkFRVlsvqFb79u0jct4lS4zLHrp06RKR88a1QJlBZAVFhjkzyF0sVS2v/xhngbTnNp8Ol7T7csndTJX8q36S3JXGvkRTnSNzMMi5NcASqejzKx6tBMnSTEFMczCoepVU+b2xzxqZ972QpV8qQ0k8d7lU/ELzzgEAAABowQgGRdncuXO9jxMSEtS3b98mn7OwsFAfffSRt925c2e/GkJohIDBIOoFRURCR8luuvcbWipW+JDkKjD2Va+Sih6P6NSCMi8RS9jbvw6PfW/JYtq2PAZLxfwyg6xZksXSPBdPHOafVVfyirHdnJlBkmf5WupYY1/xk5Lb1bzzAAAAAFoogkEhqqiokMsV3geJjz76SN988423ffDBBysrK8tvXGVlpV9fMC6XSzfeeKOKi+syAU4++eSw5oUgAi0To3h05Jizg+orIu3cJRU+Evi5PbdJzp2Bn4ukhuoFSZ4lSfYBxr4YLBWzypQZ1BzFo2tZrFKyqZC0c5ux3dyZQZJ/IenqNVL5p80/DwAAAKAFIhgUouXLl+vkk0/W7NmzVVoaoFirj8rKSj399NO67rrrvH1Wq1VTpkwJOP7ss8/W9OnT9ccff9R73i1btujSSy/VvHnzvH05OTm65JJLQv9CEBzLxKLLr27Q154C0YEU3O9ZShaIq1DKvyWycwsklGCQ1CKKSCcEygxqTualYmbNnRkkee43+z7GvubKKgMAAABauISGh6DWmjVrNHXqVN16660aMmSIBg4cqLy8PKWnp8vpdCo/P18rV67U/PnzDZk7knTddddp8ODBAc9bVFSkGTNm6PHHH9fAgQO17777aq+99lJ6erokT7HopUuX6ptvvlFNTY33uMTERD3++OPecWgiMoOiyxwMcu2SqldKDlNmTc02qWi6sc+SaKzfU/yslDFRStwvtGu7KqT8qz2FhBMPlDq8Itly6xlf6p/hkxQsGBT7ItJWc82g5ioeXStltDw/TmoCP2+LQWaQxeLJDtr9j7q+svelmo1SQvfmnw8AAADQghAMaoSKigp99913+u677xocm56erhtuuEGnn356g2Pdbrd+/vln/fzzzw2O7dKlix544AEdcMABIc0ZIbAkejIqfOvUkBkUOQk9JFtXybm5rq/iK/9gUMHdnoK/Xjap4yfStuMld9mffS5p9xSp02cN18ZxO6Wd50ulb3na5XOlHedLHT8OfmzVUs81vKySY//AYwMFg9zuyNTscZVLJS94lsWlXSjZ9wo4LGDNoOZkzfQE+yo+C/J8DDKDJCn9Ail/quQu+bPDJRU9LeXcGZv5AAAAAC0Ey8RC1K9fP1199dU68MADlZiY2OD4Tp06acKECfrf//7XYCDovPPO0/Dhw5WamtrgeXv06KGpU6fqvffeIxAUDebdosxtNJ7FIiWbl4qZ6gbVbJKKnjL2pV8sJR8pZU01HfuFVPp2/dd0u6XdV9QFgmqVz5FK3wh+XIVpiZhjX8ka5PvTvEzMXeTJPomE/OukXZdJe26Vth4pOfMDDrOZawY1d2aQVP9SsVhkBkmSNV1Kv9DYV/SUVLkiNvMBAAAAWggyg0KUlZWlcePGady4caqurtbatWv1+++/a8eOHSorK5PNZlN6erpyc3M1YMCAsLZ6//vf/66///3vcjqdWrNmjTZs2KAdO3aotLRUFotFaWlpys3N1eDBg9WxY8cofpVQzv3SjvMk5xYp60bJ3jvWM2pbkkZ4lmrVKv/KmEWz5w5JVT4HOKTsmz0PM6+Rip8zBlryr/EEIaxJga9XcHfwOjG7p0gp/+fJajELtV6Q5Ml2smZ6ahnVqv5JsvcIfkwoXGWe5XC1ajZKhQ9LOf/yn4LfMrGspl27MVJO8CzFCyRWmUGSZ6lY0RN1bVe+9MehUoeZ/juOAQAAAHGCYFAj2O12DRgwQAMGDGh4cBhsNpv69++v/v37R/S8CEPiEKlbw8v00EjmukHOzVLNBs/yp+p1UvHzxuczxtfVd7Gm/BmsO7vu+ZrfPVvQZ9/of63i/0h7bgo+F+c2Kf9mqf10/+fCCQZZLJJ9X6mybudAVf3YcFHlhlR8bayTJEmFj0qZV0q2HEO33zKx5txNrJa9r5TQW6pZ5/9crDKDJMmxj5RyolT2QV2fu1TafrqUfZuUdYtnRzQAAAAgjvAbMIDmY+/vv8147VKxPbfLUIDYkixl3WAcm3qm/xb1BXdJNaad+Mo+lHZeGuD6pgBu0eP+S8Kce6Satca++oJBUnSKSJfP8e9zF3uyg0xaRGaQxeIJugQSi93EfOX+R0oc7t+/5zZpx1mSq8T/OQAAAKANIxgEoPlYLP7BnIqvpKpfpZKXjf0Z/5ASTAW8LRap3aOSfIozu0ulfJ+gUcX30vYzJTmNx7Z7ROr4oSfIVHewtGu85PYJQlUuMl0z0T/YY+YXDIrA9vLlcwP3Fz7qVzso5gWkawXLhrLmBO5vLrb2UufPpbS/+T9X+pb0x2FS9e/NPi0AAAAgVggGAWhefkWkv/ZkaPju3mVJk7KuC3x84v5S+t+NfSUzPUGgqlXSthNMu5FJyrxOyrxCsveUsv9pfK5qqbGmjHmJmGOIZLHX/zWZi0hXrZTc1fUfU5+arcEDSgGyg1pEAWnJ829rMRXatmZJlhawItmSKOU+5wkKmn/0Va2QthwolX8Zi5kBAAAAzY5gEIDmZa4bVL3af2evzCmSLTf4ObLvkCwZxr5dl0nbxkiu3cb+tAulnHt8zn2VZB9oHJN/s1SzxfM4nHpBtczBIFVJ1WsaPi6YYFlBtUzZQS0mM8iSKCWPNvaZlwXGksXiCQp2/Ng/YObaJW0d5dl6HgAAAGjjCAYBaF6O/SRLevDnrVlSZpBdqWol5AXI8FniKUbtK3mMlPvvut3KJMnikNqbtq93F3t2F5MaFwyy5Ui2zqb5NGGpmLlekGOIjEvjfLKDXBWyWqqM42NRQLpWyknGtn2vmEyjXimjpS4L/WtIqUbaNUHadaVnlzsAAACgjSIYBKB5WWxS0mHBn8+8RrJlNXyezMmSvU/w5xOHSXmzAi/xSj5CSr/Y2Fc6Syp6XnJuMZ0nhGCQFLki0m6Xf2ZQxngp9RxjX212kGuP/zlilRkkSWl/kRyD/2w4pIwrYjeX+tj3lrp8F7joddEjUuWCZp8SAAAA0FwIBgFofualYrWs7aXMy0M7h8Uh5TwU+LmEvT3Foq1pwY/PuVeymna52jXBdI10yd4vtPn41Q1qZGZQ1QrJucPYl3yslH2LAmYHuQr8zxHLYJA1SeqySOr0mdRtlZQaZIexlsCaIeXN9t+1TqJ+EAAAANo0gkEAmp+5iHStrOslaz1LyMxSTvAsBfNly5M6fSLZOtR/rK291O5+U6ep6HPiUMkS4ttkpDKDzEvEEnpL9l6SY0Dg7KCa9cY+S2rDBa+jzWKXko9umUvEzCw2KecuKf0SY795uSAAAADQhhAMAtD8Eod5ig37snWSMiaGdx6LxVP/J6GXp53QXer4P0/wJBRpFwXPUpJCXyIm+QeDatZLrtLQj69lXiLmW5A5UHbQntuM42O1k1hrl3S4sU0wCAAAAG0YwSAAzc+SKCUdZezLukmypoR/LvteUtflUpdlUteVnq3nQ56HRWr/pKQgW5+HEwyyD5DxLdUtVf0c+vGS5CqTKr429qUcW/fYMUBKO9f4fOUiYzuWS8RaM/O/tXOzVLMtNnMBAAAAooxgEIDYyLlXsnXxPE49S8oY1/hzWdOkxP0ka3L4xzoGSlnXBn4unGCQNdlTlNhXuEvFKr6W3JU+HTYp6WjjmCxTdpBZKMW34c/eT7KYakyRHQQAAIA2imAQgNhI3E/qvl7qsVvKez22dW6ybpYSehr7rO2lhB7hncfexCLS5npBiQf7B3cc/f2zg3yxTKxxLDZPjShfBIMAAADQRhEMAhA7Fodky4n1LDzL09o/buxLPdWzjCwc5rpB1WFmBpWZgkG+S8R81ZcdxDKxxjNngpmX4AEAAABtBMEgAJCklOOk3JlS4qFS2vlSzp3hn8NvR7EwMoNq/vAPHiUHCQbVlx1EZlDj+QWDfpDc7tjMBQAAAIgigkEAUCv9AqnLN1KHlxremj4Qh2mZmHO75NwZ2rHl84xta2b9NYuCZQeRGdR45tfbtUuq2RCbuQAAAABRRDAIACLFvrdnpzRfoRaRNtcLSjpGsgTZ5UwKnh1kIzOo0RL2kqztjH3UDQIAAEAbRDAIACLFYpPsA419oSwVc7uk8rnGvmD1gnwFyg5imVjjWSxS4jBjH8EgAAAAtEEEgwAgkvzqBoWQGVS1QnLuMPYFqxdkuFZ/Kf3v3qbbnSAljwlhkggqUN0gAAAAoI2pZw0CACBsjSkibV4iltBbsvcK7Xrtn9D23RbZ9bv2OM9W74SOoR2HwPyCQYs9mVsW/nYCAACAtoNgEABEkrmIdNVSqWqV5OgX/BhzMCiUJWK1LHZtr5qk6upq2e320I9DYOZgkLtYql4lOQbEZj4AAABAFPCnTgCIpMQDJNnq2u5Kafvpkqs08HhXmVQx39gXyhIxREdCJ8nWxdjHUjEAAAC0MQSDACCSbB0MdXwkSdU/Szsvldxu//EVX3sCRnUnkJKPjuoU0QDqBgEAAKCNIxgEAJHW7mHJsZ+xr/S/UtEM/7HmJWKJB0vWzOjNDQ0jGAQAAIA2jmAQAESaNUXKe8s/qLP7KqniW2NfWRPqBSE6zMGgqmWSuyomUwEAAACigWAQAESDvbeU+5Kps0bafmbdNvI1f0jVpq3nqRcUe4nDjG13pVT1c2zmAgAAAEQBwSAAiJbUk6SsG419zj+k7edI7hqpfK7xOWumf1YKmp8tW0rY29jHUjEAAAC0IQSDACCasm+XkkcZ+yo+l/Jv9g8GJY2ULAnNNzcER90gAAAAtGEEgwAgmiw2qcOrkq2rsb/wXqn0bWNfyujmmxfqZ14qRjAIAAAAbQjBIACINluulDdLkt3Y7y43tqkX1HL4FZH+SXKVxWYuAAAAQIQRDAKA5pB0sNTukeDPJ/SW7L2abTpoQOIBMv6IdHp2FQMAAADaAIJBANBcMiZKaecHfo4t5VsWa6pkH2jsY6kYAAAA2giCQQDQXCwWqf3TkmOQ/3MsEWt5KCINAACANopgEAA0J2uKlPeWZMnw6cuSko+J2ZQQRBLBIAAAALRNBIMAoLnZ+0id5ngyTxyDpA6vSNaMho9D8zJnBlWvlpwFMZkKAAAAEEkEgwAgFpIOlroslLqukFKOj/VsEIhjsCSHsa9qcf3HuCulnROkjXtLu66Q3M6oTQ8AAABoLIJBAAAEYnFIifsZ+yoX1X/M7quk4qelmnVS0WNS0VPRmx8AAADQSASDAAAIJpwi0uVfSUVPGPuK/xP5OQEAAABNRDAIAIBgQg0GucqlXZf491ctlqrXRH5eAAAAQBMQDAIAIBhzMKhmo+Tc4T9uz23Bgz4lr0d8WgAAAEBTEAwCACAYe3/JkmrsM2cHVS6SCh8Ifg6CQQAAAGhhCAYBABCMxSYlHmDsq/AJBrmrpJ0XS3L5HmQcX/2TVPVTtGYIAAAAhI1gEAAA9amvblDBPVLVj8bns6dJtq7GPrKDAAAA0IIQDAIAoD6BgkFut1T1s7TnDuNzjv2krOultLOM/SWveY4BAAAAWgCCQQAA1MccDHLtlGp+k3b+XVK1zxM2Kfd5yWKXUs8xHlOzVqpaEu2ZAgAAACEhGAQAQH0SeknWHGPfzr9Lld8b+zKvqasvlDjMc5wvlooBAACghSAYBABAfSwWT3DHV8UXxra9r5R9q/GYNFN2UOnrktslAAAAINYIBgEA0BDzUjEDi5T7nGRNNnannm1s12yUKr+L+NQAAACAcBEMAgCgIfUFgzL+ISUd7t/vGCTZBxj7Sl6L7LwAAACARiAYBABAQ4IFgxK6Szl3BX4u4FKxNyW3M7JzAwAAAMJEMAgAgIYkdJZsnf372z8rWdODH2deKubcJlV8Fdm5AQAAAGEiGAQAQCiSjjC20y6SUo6t/xhHP8mxv7GPpWIAAACIMYJBAACEIvtmydbR8zjxUKndw6Edl2bKDiqdJbmrIzs3AAAAIAwEgwAACIVjX6nbOqnbWqnzF5ItK7TjzEvFXPlS+aeRnh0AAAAQMoJBAACEypoi2XtLFnvox9j3khIPMfaxVAwAAAAxRDAIAIBo89tV7B3JVRGbuQAAACDuEQwCACDaUs+UZKlru4uk8o9jNh0AAADEN4JBAABEW0JnKWmEsY+lYgAAAIgRgkEAADQH81KxsvclV2ls5gIAAIC4RjAIAIDmkHq6JFtd210mlX0Qs+kAAAAgfhEMAgCgOdhypeSRxj6WigEAACAGCAYBANBc/JaKfSS5CmMzFwAAAMQtgkEAADSXlNMk2X06qqTS2TGaDAAAAOIVwSAAAJqLLUtKOc7YV/xiTKYCAACA+EUwCACA5pT2F2O74nOpamVs5gIAAIC4RDAIAIDmlHqqZM019hU9HZOpAAAAID4RDAIAoDlZEqX0i419JS9IrvKYTAcAAADxh2AQAADNLWOcse0qkErfiMlUAAAAEH8IBgEA0NzsvaTkMca+oqdiMxcAAADEHYJBAADEQsYEY7vyO6lyWUymAgAAgPhCMAgAgFhIOVGydTb2kR0EAACAZkAwCACAWLAkSOmXGvtKXpFcxbGZDwAAAOIGwSAAAGIl4xJJtrq2u8QTEAIAAACiiGAQAACxktBVSjnJ2Ff0lOR2x2Y+AAAAiAsEgwAAiCVzIemq5VLl97GZCwAAAOICwSAAAGIpebSU0NPYV/RkbOYCAACAuEAwCACAWLJYpYzxxr7S1yVnfmzmAwAAgDaPYBAAALGW/jdJ9rq2u1IqfjFm0wEAAEDbRjAIAIBYs3WQUk839hVTSBoAAADRQTAIAICWwFxIunq1VPFFTKYCAACAto1gEAAALUHSCMk+wNhX9FRs5gIAAIA2jWAQAAAtgcXinx1U+rZUsy028wEAAECbRTAIAICWIu0CyZLs01EjFT8fs+kAAACgbSIYBABAS2HLllLPMfYVPyO5nbGZDwAAANokgkEAALQk5qViNRukwgc9280DAAAAEZAQ6wm0ViUlJVq7dq22bNminTt3qqysTA6HQ5mZmerdu7cGDBig5OTkhk9Uj9WrV2vVqlXavn27HA6H8vLytP/++6tDhw4R+ioAAC1O4oGSY3+pamldX/5UqfAhKeMyT7DIxs8BAAAANB7BoDD8+OOPmjlzppYuXapNmzbVOzYpKUnHHnusJkyYoN69e4d1nXnz5mn69OlauXKl33M2m03Dhw/X9ddfrz59+oR1XgBAK1BbSHrXeGO/c7u051ap4C4p7Twpc4rkGBSTKQIAAKB1Y5lYGBYvXqz33nuvwUCQJFVUVOi9997TKaecohdffDHka9x+++36xz/+ETAQJElOp1Pz58/X6aefrtmzZ4d8XgBAK5J+kZR0dODn3JWeotKbB0tbR0tlH0luV7NODwAAAK0bmUGN1LFjR+23337q1auXcnNzlZKSotLSUv3222/64osvtHnzZklSdXW17rrrLjkcDp177rn1nnP69Ol65ZVXvO2UlBSdfPLJ6tevnyorK7Vo0SJ99tlncrlcqqys1E033aQOHTro0EMPjerXCgBoZhaH1GmeJ9BT+LBU8VngceXzPP/Z95HyXpcc+zTvPAEAANAqEQwKQ8+ePXXjjTfqmGOOUbdu3YKOu/nmm/Xyyy/r7rvvltPp2QHmvvvu08iRI4PW+1m+fLlmzJjhbffr10/PPvus8vLyvH1/+9vftGjRIk2cOFFFRUWqqanRNddco7lz5yo1NTVCXyUAoEWwWKXUEz3/VS6XCh+RSl6VVOU/tvpnaeffpM7fe5aZAQAAAPVgmVgYjjzySP31r3+tNxAkSRaLRRdccIEmT57s7SsrK9NHH30U9JiHH37Y+zglJUVPPfWUIRBUa9iwYbrjjju87d27d2vmzJnhfBkAgNYmcT+pw3+k7hukrH9K1lz/MZU/SJWLmn9uAAAAaHUIBkXRX/7yF1mtdS/xjz/+GHDc2rVrtWDBAm/7wgsvVOfOnYOed8yYMTrggAO87ZdfflkuF/UiAKDNS+go5UyTum+U2j/nHxQqejI28wIAAECrQjAoijIzM9WuXTtve8+ePQHHzZs3z9A+44wzGjy375hdu3Zp+fLljZwlAKDVsSZJGRd7dhTzVfqa5Az8swYAAACoRTAoitxut8rKyrztzMzMgOO+/PJL7+MePXo0uAxNkg477LCg5wAAxIn0i2Uo/+cul0pYOgwAAID6EQyKosWLF6u0tNTbHjp0aMBxa9as8T4eMmRISOfu2LGjOnbs6G2vXr26cZMEALReCR2l1LHGvqKnJLc7NvMBAABAq0AwKEry8/M1bdo0bzsnJ0ennHKK37jt27eruLjY2+7evXvI1/Adu27dukbOFADQqmVMMLarV0oVZIsCAAAgOLaWj6DS0lJt2rRJX3/9tV544QXt2rVLkuRwOPTAAw8oPT3d75jNmzcb2p06dQr5er5jzecBAMSJpKMkez+pelVdX9GTUvJRsZoRAAAAWjiCQU1w/fXX65133ql3zD777KNp06Zp0KBBAZ8vKSkxtIPVFQokIyPD+7impkaVlZVKTEwM+XgAQBtgsXiyg3ZfWddX+rZUs11KyIvdvAAAANBiEQyKEovFojPPPFNXX321srKygo7zLTAtebKIQmUO/JSWlsYsGLR27VpZrS1/1WF1dbX3/ytWrIjxbIDI4L6GTcM0IDVJVkvFnz012rrmTu2sviSk4x2WzcpzPC6LarS9epwqXX2iN9kQcV+jreLeRlvEfY22qCXd1y6XK+LnJBjUBO3atfPW7XG5XCopKVFBQYEkz05ib7zxhj744ANNnDhRl1xyScBgSWVlpaFtt9tDvr45cGQ+V3NyOp1yOp0xu35j1H5zA20J93V8qlay8qtGq33i+96+nIRZ+qPsfEm2eo9NsOSrV8Zf5bB6ljYnW3/Wz0Wz5FboP4+ijfsabRX3Ntoi7mu0RW3xviYY1ATXXnutrr32WkNffn6+vvzySz377LNat26dysrK9OCDD2rdunW69957/c5hzuQJ5yarqqqq91zNyWaztarMICm8wBvQknFfQ5L2OM9We9UFgxJtW5WTtFDFzhH1HOVUz6R/egNBnuO2KCfpexU5j47ibBvGfY22insbbRH3NdqilnRfu1yuiCdfEAyKsJycHJ122mk64YQTdM011+iTTz6RJM2ePVtDhw7VWWedZRifkpJiaJsDPPUxZwKlpqY2ctZNt/feeystLS1m1w/VihUrVF1dLbvdrsGDB8d6OkBEcF9DkuQeJG15SKpa4u3q2e4TqeOk4MfsuUPa851f917t50t5V0RjliHjvkZbxb2Ntoj7Gm1RS7qvS0pKtGrVqoYHhqHlp3K0Ug6HQ/fdd5+6dOni7XvyySf91vqZAyiFhYUhX8N3bEJCAsWjASCe1RaS9lX2oVS9IfD48i+kPbcGfq7sfckV+s8jAAAAtC4Eg6IoKSlJY8eO9bb/+OMPrV692jCma9euhvbWrVtDPr/vWPN5AABxKO1cyZLh0+GWip/1H1ezXdpxrqQgxQjdlVLJW9GYIQAAAFoAgkFR1r9/f0N7wwbjX2jz8vIM2UHm5+uzceNG7+NevXo1coYAgDbDmialX2DsK/635PZZgux2SjvPl5zbTMdmG9slL0dnjgAAAIg5gkFRZt7xK1DRp759+3ofL1++PKTzbtu2Tdu3bw94DgBAHDMvFXNul0pn17UL7pbK5xnHJI+R2j9t7Kv4QqrZFI0ZAgAAIMYIBkXZli1bDO327dv7jRkxom6nlw0bNmjTpoZ/+Z4/f76hfeSRRzZyhgCANsWxr5R0uLGv6CnP/wPVCbJ1ljq8JKWcJFkzfZ5wSyX/jeZMAQAAECMEg6Js7ty53scJCQkBM3hGjRplaM+aNavB8/qOadeunYYMGdL4SQIA2paMicZ2xedS+VcB6gRZpQ6vSbZcyZokpZ5pPI6lYgAAAG0SwaAQVVRU+O0E1pCPPvpI33zzjbd98MEHKysry29cnz59dMghh3jbM2fO1B9//BH0vHPmzNHSpUu97fPOO09WK/+UAIA/pZ4uWU2ZqNuO9a8TlH2HlHxEXTvtfOPzVT9KlSuiM0cAAADEDBGEEC1fvlwnn3yyZs+erdLS0nrHVlZW6umnn9Z1113n7bNarZoyZUrQY6688krv47KyMk2cOFE7duzwG7do0SLddNNN3nZ2drYuuuii0L8QAEDbZ0mU0i829rkrje3k/5Oyphr7ko6QbN2MfWQHAQAAtDkJsZ5Aa7JmzRpNnTpVt956q4YMGaKBAwcqLy9P6enpcjqdys/P18qVKzV//nwVFxcbjr3uuus0ePDgoOceMmSIJkyYoKee8tR1WLlypf7v//5Pp5xyivr27avKykotWrRIn376qTdDyWaz6f7771dqamr0vmgAQOuUMV4qvC/wc7YuUoeZksX0NyGLVUo/Tyq4p66v5FUp527JYoveXAEAANCsCAY1QkVFhb777jt99913DY5NT0/XDTfcoNNPP73BsVOmTFFBQYFee+01SVJpaaleffXVgGMdDoemTZumI444IuDzAIA4Z+/l2SWs/BPTEzYp7886QYGknW8MBjm3SBVfSclHR22qAAAAaF4sEwtRv379dPXVV+vAAw9UYmJig+M7deqkCRMm6H//+19IgSBJslgsmjZtmmbMmBF0q3ir1arDDjtMb731lsaOHRvW1wAAiDPmQtKSlHOH/25jvhz7SI79jH0sFQMAAGhTyAwKUVZWlsaNG6dx48apurpaa9eu1e+//64dO3aorKxMNptN6enpys3N1YABA9SlS5dGX2v06NEaPXq0Vq1apVWrVmnHjh2y2+3Ky8vT/vvvr7y8vAh+ZQCANivlBCnxYKny+z/bp0iZ19V/jOTJDspfXtcumSW1myFZk6MzTwAAADQrgkGNYLfbNWDAAA0YMCCq1+nXr5/69esX1WsAANowS4LU8WOp9DXJkiqlnetfJyiQtHOl/OskuT1td5FU9oGUdma9hwEAAKB1YJkYAABtmS1LypggpV/gCQ6FIqGLlHyMsY+lYgAAAG0GwSAAAOAv7Xxju+wjybkrNnMBAABARBEMAgAA/lLHSpYkn44aqfTNmE0HAAAAkUMwCAAA+LNmeApO+ypmqRgAAEBbQDAIAAAElnaesV35rVS9PjZzAQAAQMQQDAIAAIGljJGs7Yx9Ja/GZi4AAACIGIJBAAAgMItDSjvb2FfysuR2x2Y+AAAAiAiCQQAAIDjzrmLVq6SqxbGZCwAAACKCYBAAAAgu8RApoZexj0LSAAAArRrBIAAAEJzF4p8dVPpfyV0Tm/kAAACgyQgGAQCA+pl3FXPukCoXxWYuAAAAaDKCQQAAoH6OvpJ9oLGPYBAAAECrRTAIAAA0LHGYsV1JEWkAAIDWimAQAABoWOJQY5vMIAAAgFaLYBAAAGiYORhU/YvkKovNXAAAANAkBIMAAEDDHENk/LXBJVUtj9FkAAAA0BQEgwAAQMOsqZJ9gLGPukEAAACtEsEgAAAQGuoGAQAAtAkEgwAAQGjYUQwAAKBNIBgEAABCQxFpAACANoFgEAAACE3AItLLYjMXAAAANBrBIAAAEBprCkWkAQAA2gCCQQAAIHTUDQIAAGj1CAYBAIDQ+e0oRjAIAACgtSEYBAAAQhewiHRpbOYCAACARiEYBAAAQhewiPTyGE0GAAAAjUEwCAAAhM6aItkHGvtYKgYAANCqEAwCAADhoW4QAABAq0YwCAAAhMcvGLQoNvMAAABAoxAMAgAA4TFvL1/9K0WkAQAAWhGCQQAAIDyO/UQRaQAAgNaLYBAAAAhPwCLSLBUDAABoLQgGAQCA8FFEGgAAoNUiGAQAAMJnrhtEMAgAAKDVIBgEAADCZ84Moog0AABAq0EwCAAAhC9gEellMZoMAAAAwkEwCAAAhM+aIjn2MfaxVAwAAKBVIBgEAAAax0ERaQAAgNaIYBAAAGgcvx3F2F4eAACgNSAYBAAAGseviPRKikgDAAC0AgSDAABA4zj2k2Tz6aCINAAAQGtAMAgAADSONUVyDDT2UTcIAACgxSMYBAAAGs+viDR1gwAAAFo6gkEAAKDxEocZ22QGAQAAtHgEgwAAQOMFLCJdEpu5AAAAICQEgwAAQONRRBoAAKDVIRgEAAAaz5pMEWkAAIBWhmAQAABoGgd1gwAAAFoTgkEAAKBpzHWDCAYBAAC0aASDAABA0/gVkf6VItIAAAAtGMEgAADQNH5FpN0UkQYAAGjBCAYBAICmsSZLjn2MfSwVAwAAaLESYj0BAADQBjiGSlUr6tqVi4zPu92S8w/PmKoVkqtQSj1TSty/eecJAAAAgkEAACACEodKJf+pa1d8KxX/R6pc7hMA2m08puBBqdtPkr1P884VAAAgzhEMAgAATZdo2l6+Zr208+IGDqqSip6R2t0ftWkBAADAHzWDAABA0zkGy1hEOkSlb3mWkAEAAKDZEAwCAABNZ03232I+EEuqsV3zGzuPAQAANDOCQQAAIDKy/+UT7LFICXtLKWOl7GlS3jtSt/XSXkVSwl7G40rfau6ZAgAAxDVqBgEAgMhIOVbqvtGza1jCXpI1LfC41NOlwgfr2qVvSzl3NMsUAQAAQGYQAACIJFuO5Ng3eCBI8gSDfFX/KlX9Gt15AQAAwKtVZgZ9/fXX+vzzz7VlyxbZ7Xb17NlTJ554ovr16xfrqQEAgIYkHizZOnsyiGqVviU5bo7dnAAAAOJIzINBP/74oz744ANJktVq1ZVXXimHwxFwbGlpqaZMmaL58+f7Pffcc8/pr3/9q6ZOnRrV+QIAgCayWKXU06Six+v6St+SsgkGAQAANIeYB4Neeuklvf/++5KkI488MmggSJJuuOEGff3115Iki8VieM7lcumFF16QJAJCAAC0dKmnG4NBVcuk6vWSvVfMpgQAABAvYl4zaP78+XK73ZKkk08+Oei4BQsWaM6cObJYLLJYLHK73Yb/avtefPFFrVixormmDwAAGiPpCMna3thX+nZs5gIAABBnYhoM2rRpk/Lz8yV5Mn1GjBgRdOyLL74oSXK73bLZbJoyZYq+/PJLLVq0SLfeeqvsdrs3IPTMM880y/wBAEAjWRKk1FONfWwxDwAA0CxiGgxav369JE8gqFu3bkpLC7zzSHFxsebPn+/NCrrwwgs1YcIE5eXlKS0tTeeee66uuuoqb5bQV199pbKysub8UgAAQLjMu4pVfifVbI7NXAAAAOJITINBW7du9T7u0aNH0HE//PCDampqvMvB/vrXv/qNOffcc5WUlCRJqq6u1i+//BL5CQMAgMhJPkayZhr7St+JzVzw/+zdeZxbVf3/8ddNMpm9nU73jS5AW0opLZuUXXbZZFMEBIssyibC14WfoIi74i4gigiiIIqyqAgIyCI7pUChhe4t3ffOPpNJcn9/3M5M7rk3M0kmmWQy7+fjwYO5Jzf3nnbSNvnMZxEREZEBJK/BoMbGxs6vq6urk573xhtvAE4G0YwZMxg5cqTnnNLSUvbee+/O45UrV2ZxpyIiIpJ1VhgqTnWv9ee+QXYUmv4JzY9BvDXfuxERERFJKq/BoPb29s6vA4HkW3nzzTc7v54zZ07S80aNGtX5dUNDQy93JyIiIjlnloq1vgCxLfnZS29tuQQ2nQYbT4Gtl+Z7NyIiIiJJ5TUYVF5e3vl1XV2d7znNzc2ukq8DDjgg6fUSA0qRSCQLOxQREZGcKj8BrMqEhTg0PZKv3WQuugka/9B13PgniHyQv/2IiIiIdCOvwaChQ4d2fr1s2TLfc15++WWi0SjglInNmjUr6fXq6+s7v+7oHyQiIiIFLFAOFSe51/rjVLHIfO+a+h+JiIhIgcprMGjKlCmAMy5+w4YNLFy40HPOo48+CjiBoGnTpnXbWyixIXVioElEREQKWOWZ7uOWZwhQ739uoWp7y7vWrGCQiIiIFKa8B4NGjBiBZVkA3Hzzza6m0v/97395+umnOx8/6qijkl6rra2tc1Q9wG677ZabTYuIiEh2VZwMVmnCQpRBoef77v4t/4PN58P2r0FsR2bXiLztXWt7A6Jre7U1ERERkVwI5fPmlmVx5plncscdd2BZFu+++y7HHXccBx10EDt27GD+fCfl2rZtQqEQZ511VtJrzZs3r7OcLBgMsueee/bJr0FERER6KVAN5cdD8z87lwaHnmELJ+b+3tEPnYbP9q5MpNg2GP6b9K/jlxkETv+jwVdlvD0RERGRXMhrZhDAZZddxpgxYzqPd+zYwX/+8x/eeOMNV6+gc889l7Fjxya9zpNPPtl57pQpU6ioqMjtxkVERCR7jKli1cGXCdCc+/vW39kVCAJo/DPYsfSuEa+HqH/vQ5ofyXhrIiIiIrmS92BQRUUFd999N+PHj8e2bcDJBEr8+vDDD+crX/lK0ms0NTXx+OOPd5aTHXLIIbnfuIiIiGRPxakkJiwHrDYGl7yU23vaMWi4x1hrgPbF6V2n7Z3kj7U8B7Ht6e5MREREJKfyWibWYcKECfzrX//iwQcf5LnnnutsBD1x4kROOukkPvaxj3UGevw8+OCDNDQ0dB4fc8wxOd+ziIiIZFGwFso/Ci1PdS7VhP9LY+Skbp7USy1PQ8ynp0/baxCenvp1/PoFdYpB87+g+sJ0dyciIiKSMwURDAIIh8Ocf/75nH/++Wk/d+7cucydOzf7mxIREZG+U3mWKxg0uOQl1kXacne/ht/7r7e+DtUXpX6dZP2COjQ9rGCQiIiIFJS8l4mJiIiIAFBxOtCVCRy0mqkOvpKbe8W2Oc2d/bS9nt61IkYwKDzLfdzyJMT7oP+RiIiISIoUDBIREZHCEBoJZYe7lgaFns7NvRrvByL+j0UWQLwltevYEYgsdK/V3AgEE85pgZb/ZLJLERERkZxQMEhEREQKhzFVbFDoObDbs3sP24aGu7o5IdpDH6AEkUWAsb/yY6DsCPda08NpbFBEREQktwqmZ1Cq2tvb+fvf/86zzz7LunXrKCkpYdKkSXz84x/nyCOPzPf2REREpDcqz4Bt13QehqwGpwFz5RnZu0fkLYgYE8CsUrAT+hO1vQ5lc1K7VqLQJAjWOPttfbZrvfmfTlDLKsl42yIiIiLZkvdg0Msvv8z9998PQCgU4kc/+hHhcNj33C1btnDppZeyeLEz8rVj/PwHH3zA448/znHHHcdPfvITSkr0RktERKRfCo2H0oPcfXu2fBZKpkF4r+zcw2wcHdoNyj4KjX/oWku1b5DZPLqjX1Dl6bDtC13r8R3Q+oKTNSQiIiKSZ3kPBj3wwAM8/fTTWJbFSSedlDQQBHDttdfywQcfAGBZlmvcvG3bPPXUU1x//fX85Cc/yfm+I5EIy5cvZ+nSpWzbto22tjaqq6sZOXIks2bNYtiwYTnfg4iISFGq/qw7GBPfCRs/BmNehdCo3l073gqN97nXquZCaIw7GNSaYjDILCcrne38PzQeSg+AtnldjzU9rGCQiIiIFIS8B4NeeaVrSsjJJ5+c9Lwnn3ySefPmdQaAbNumtLSUsrIy6urqsCwL27b597//zemnn87hhx+e9FqZ2r59O48//jjPPfcc8+bNo7k5+WSQ/fbbj4svvphjjz02pWtfcMEFvP56mtNLgG9+85uce+65aT9PRESkYFVfQv3GPzMo9HzXWnQ1bDwZxjwPgarMr938iBNcct1vrnctugxi2yFYm/xadhza3navhWd3fV1xuhEMegSG/goSfpglIiIikg95bSC9fPlyGhoaAAgGgxxyyCFJz73vPueneLZtU1ZWxi233ML8+fN57bXX+O1vf0tVVVVnoOiee+7J+l6XLFnCYYcdxre+9S1eeOGFbgNBAPPnz+fKK6/kuuuuo7W1Nev7ERERKVpWkNWtP6ApOt29HpkPm84BO5r5tc0SsbKjoWQShGeAVeZ+rO2N7q8VXQF2g3utNCEYZPY5iq1zB4dERERE8iSvmUGrV68GnJKvCRMmUFZW5nve9u3bXVlBn//85zn11FM7Hz/iiCO44YYbuP766wF49dVXqa+vZ9CgQVnba1tbG7FYrPPYsiymTZvGgQceyNixY6murmbbtm28/vrrvPjii539jB577DEaGxv59a9/TTAYTHZ5l8GDBzN48OCUzq2urk7/FyMiIlLgbCpY1vgzpg36LKWBdV0PtPwbtl4Bw36TfoZN+2poMUbVV3/W+b9VAuH9oO3lrsfaXoeKE5Jfz8wKCgyD4Jiu45K9oGQKtC/pWmt+GMoOTG/fIiIiIlmW12DQhg0bOr8eP3580vNee+014vE44DSZPuecczznnHrqqXz3u9+loaGBeDzOwoULmTMnhSkgaRo+fDjnnHMOZ511FmPGjPE8ftlll7FgwQKuueYa1q9fD8Dzzz/PX/7yF84777yU7nHBBRdw9dVXZ3XfIiIi/U3UHsqqltuZWn0RxLd3PdBwJ4QmwpCvpXfBxj8AdtdxYDBUntl1XHqQNxjUHXOSWOlsd4DKsqDiDKj7Ydda08NQ+7309i0iIiKSZXktE0ssteouw+WNN5w0bcuy2G+//aipqfGcEwwG2WuvrikjH374YfY2ClRWVvKVr3yFp59+mquvvto3ENRh5syZ3HXXXZSWlnau3XnnnVndj4iIyEDQZk+EUf9wRr8n2nEDNPwp9QvZcWi4271WdR4EyruOyw4ybv462DZJeSaJzfaeY5aKtX8AkQ963q+IiIhIDuU1GJRYdtWR+ePnzTff7Pz6Ix/5SNLzhg8f3vl1Ry+ibJk8eTIXX3xx0lI2v/PPPLPrp43r169n6dKlWd2TiIjIgFB2KAy/DzDKwrZ8Flr+m9o1Wp+D6Cr3WkeJWIdSIxgU2wzRbn645JcZZCo90F06Bk52kIiIiEge5TUYVFFR0fn1zp07fc+pq6tjyZKuWvsDDjggpWtHo71oLpklZuBqzZo1edqJiIhIP1d1FtT+xFhsh41nQOTdnp9vNo4O7wPh/d1rockQMKaHJSsVi26E2EbjmrO851kBqPy4e635kZ52KyIiIpJTeQ0GDRs2DHAmhC1evNj3nBdeeKGzGXMwGGTmzJlJr1dfX9/5dWKgKV8qKytdxy0tLXnaiYiISBGouRYGXeNes+thw8eg+T/JnxfbCU1/d69Vf9bbgNqyvNlByYJBkbeN51ZAyZ7+51YYpWJtr0N0nf+5IiIiIn0gr8GgxB4/27Zt47XXXvOc89BDDwFOv6AZM2ZQXl7uOafD2rVrO7/uCDTlU+J+AIYOHZqnnYiIiBSJoT+BijPda7F1sPEE2HCif5ZQ05/Bbk1YKIGq8/2vn2owyNMvaF+wkkwNLT8KAjXGnh7xP1dERESkD+Q1GDRp0iR22203LMvCtm2+8Y1vsG5d10/K7rvvPl555ZXO42OPPTbptZqamli1alXn8YQJE3Ky53Q888wznV+XlJSw9957p/S8F198kblz53LooYcyY8YMDjzwQI4//niuueYaHnjgARobG3O1ZRERkcJmBWHEn6D0EO9jLU/C2lmw5RKIru9aN0vEKk+D4HB8eZpIzwPbp/TczAwqndXNnkug4hT3WrP6BomIiEj+5HW0PMCnPvUpfvSjH2FZFqtXr+aEE05g2rRp7Nixg/Xr13cGisrKyjjjjDOSXueVV17pLCcrKSlhzz2TpGr3kQ8++ICXX+4aT3vYYYd1OzEt0dtvv+06bm9vp76+ntWrV/PEE0/w05/+lCuuuIK5c+dmccciIiL9RKAcRj0KG0+BNjOrOA4Nd0Hjn2Hwl6HiBCegk6j64uTXLj3QfWw3Q/v7To+hRGbzaL9JYokqz4DGhOlnLc9BbDsEa5M+RURERCRX8poZBHDhhRey1157Yds2lmURjUZZuHAh69at6wzuWJbFZZdd1m2Z1RNPPNF57vTp0wmHw32yfz/RaJQbb7zRNSHtyiuvTOsapaWljBgxgpEjR3p+LXV1dXz/+9/nC1/4QkE0yhYREelzwWEw5iUYdhcER3sft5th582w/jDjeWOh/PhurjsCQhPda61GqVi8AdqNCaF+k8QSlZ8AVuJE0hg0P7Zrr23QvtwJEDX8EXZ8D7Z8HrZcDm1vd39dkWJj20423q7PASIikhuWbef/b9rt27dz1VVXMX/+fN/HzznnHG6++eZun//Rj36USCQCOIGXq666Kid7TcUPf/hDfv/7rpT0c845h29961vdPueCCy4gEAhw4okncvDBBzNhwgQCASdWF4vFWLhwIX/961956KGHiMVinc/71Kc+1e3vTa40Nja6mn4Hg8HO/Ray9vb2zq9LSkryuBOR7NHrWopROq9ri2aGl9zL8PA9BK3uhzVsilzCpsjV3Z6zW+mXqSnpaki9rf0s1rV9o/O4IjCfPSou6jy27SDvNb2CTWm3151Qdg2DQ891HkftGmw7QElge9LnxOxKFjf/k6itvoPFQn9nJxeggQll/0d16DWaYrNZ1fIzYgzJ97YkBXpdSzEqpNd1PB53xQGmTp1KVVVVr66Z9zIxgNraWu6//36ef/55nn32WTZs2ADAxIkTOemkk9h33327ff6TTz7pyho67rjjcrrf7jzyyCOuQNDEiRO5/vrre3zeL37xC2pr/VPFO6aozZw5k9NOO43LL7+8s2/QAw88wGmnncb+++/v+9y+EovFXC/O/iDxD7dIsdDrWopRz6/rEta1X8ymlo8zpvw3DAs/imXFfc/c0nIy7fHur9cQmO4KBpVb77r2EC5d5Dq/NT6RSHsA6P66O6wjXcGgkLUTrKSnAxC0mqi2/snmSJKG19Kv6e9stxGlD1Mdcko/K4NvURN8kI2tF/XwLCk0el1LMSrG13VBZAYVi//9739cfvnlnS+Umpoa7rvvPvbYY4+s3ufpp592lZ0dccQR3HnnnVm9R0+UGSRSOPS6lmLUm9d1aWApo8M/Z1DoRdd6Y+wAVrTc1ePz/TN/XsLGmWg6rvQmakse6Xx8R/sprGn7bo/XDbKT6ZVHY1np/fCkKTaL5S1/SOs5Urj0d3Zy40pvpLbkn53HO9uP58O2W/K4I0mVXtdSjArpdV20mUHFYP78+Vx99dWdL5iKigp++9vfZj0QBM5UtdmzZ/PWW07zyldffZXW1lbKysp6eGbu7LHHHr1+MfaFBQsW0N7eTklJCTNnzsz3dvqtuqhNzIbakh5+pC19Qq9rKUa9e13PBM6C5qdg+1edZs/BkVSN+wMzw9N7fnp8d1h1MeBkF1lWjH2mRKFs1z7WroZI1+lDRh7NkJoU97j509CYJLBjVUFoNwgMgrZXO5crg28zc/pQCI1N7R5S0PR3djc2tEBCpWdNdSs1U/V71B/odS3FqJBe12YyRjYUfipHP7Bo0SIuu+wyWlqcf73C4TC33357j+VtvXHsscd2fh2JRFi0aFE3Z4tkzx832ox+CUa8CN9ZpcRCESlgFcfBuPmw23rYbS2kEggCCFRCeIZ7raOJtB2ByHvux3pqHp1o+J0w7E6o+QYMuwNGPQbjFsCEHTCxHsYvhDHPgTXI/bwmjaKXASC63n0c25iffYiIDADKDOql5cuXc/HFF9PQ0ABAKBTi5z//OXPmzMnpfSdOnOg63r49efNJkWyJ2zZfWQ6tu1pxfGsVXDbGZkRYGUIiUsBCPtPGelJ6EEQWdB237QoGRd7H0xsonMYPf6wSGHRJD+eUQuVp7lH0TX+DwfkbjiHSJ2JmMGhTfvYhIjIAFGwwaNmyZbz11lu899577Nixg7q6OgAGDx7MkCFDmDFjBrNmzWLPPffM2x4//PBD5s6d2xmICQQC/OhHP+KYY47J+b3NkrDW1tac31NkYwQ2JZRGRG14rwmODudvTyIiOVF6EDT8ruu4Mxj0lvu80EQI5mDaUeXZ7mBQ6wsQ3QShkdm/l0ghiDdDfKexVgfxVgjkrxWCiEixKrhg0MMPP8y9997LBx980O15f/3rXwGncdKFF17ImWee2Rfb67Rhwwbmzp3L5s2bAbAsi29/+9ucfPLJfXL/rVu3uo6HDNHYTcm9VT4xx2UtcLRefiJSbEoPch9HV0BsK7QZwaBwGiVi6Sg/3ukhZDfuWrCh+WEY9Pnc3E8k32IbkqxvgsCEvt2LiMgAUDA9gzZu3MgFF1zA1772NT744ANs26a7QWcdj3/wwQfccMMNXHDBBaxfvz7p+dm0detW5s6dy7p16zrXbrjhBs4+++w+uT84DasTjR2rppKSe37BoOUt3jURkX4vvDdY5e61tjcg8rZ7LZ1+QekIlEPFKe61pr/l5l4ihcDsF9Qhl32D7Ag0/RNaX+35XBGRIlMQwaCNGzdy3nnnMW/evM4AkGU5PUg6gj7mfx3nWJaFbdu88cYbnH/++WzalNva4p07d3LRRRexatWqzrXrrruOCy64IKf3TVRXV8e///3vzuMxY8Z4egiJ5MIqn8CPgkEiUpSsEJTu715rfRXa3navhWflbg+VZ7mPW55zspPSYUcgshjseNa2JZITZr+gzvUcBYNsGzYcC5tOg/VzYOePcnMfEZEClfcysVgsxmWXXcb69etdwZ3p06dzyimnsO+++zJp0qTOseWNjY2sXLmSd955h3/9618sWrSo8zkbNmzg0ksv5eGHHyYYDGZ9r42NjVx66aUsWbKkc+3zn/88n/vc53p13ba2NkpLS1M6Nx6P87Wvfa2zYTXAaaed1qv7i6RKmUEiMqCUHgStL3YdN/0F7HrjnBxlBgFUfMzJTrI7/qKNQdOjMOji1J7fvgLWHwmxtVAyHca+4oytFylESTODcvSD3rbXofV/Xcc7vweDr3MCwSIiA0DeM4MeeOABlixZ0hnQGTp0KLfeeisPPfQQn/3sZ9l///2pra0lHA4TDoepra1l//3357Of/SwPPfQQt956K0OHDu3MJFq6dCkPPPBA1vfZ1tbGFVdcwYIFXZNFLrzwQq699tpeX/ucc87hV7/6VY9lbuvWrePSSy/l6aef7lyrra3lkkt6mEoikiWrk/QM6q6kU0Sk3zL7BrUvdh8HhkEwh2XagUqoOMm9lk6p2NbPO4EggPZFsPMn2dubSLb1dWZQ5F33cbzOKQUVyYQdc7LNRPqRvIe+77nnns5A0MiRI/nTn/7E+PHjU37+sccey9SpUzn//PPZsmULtm1zzz33cP7552d1n48//jivvfaaa+3ZZ5/lueeeS/kaxx9/PF/+8pc96/X19dx6663cdtttTJ8+nRkzZjBx4kSqq6sBp0fRW2+9xUsvvUQ0Gu18XmlpKbfddlvneSK55pcZ1BSDze0wUhPFRKTYmMEgz+OzYdcPo3Km8mxo+nvXccvTENvR8wSzlueg5Sn3WvMjUHtztncokh1Jg0E5ygxq9xlW0/IUlM3Jzf2kOMVbYfN5ToP/0gNg5D8gNDrfuxJJSV6DQStXrmTNmjWd5WE33XRTWoGgDuPHj+cb3/gGV111FQBr165lxYoVTJ48OWt7jce9tfZr1qxJ6xrbtm3r9nHbtlm4cCELFy7s8Vpjx47lxz/+Mfvtt19aexDJVNy2fTODAJY1KxgkIkUoNNHJ/okn6dOTy35BHSpOBqsU7LZdC1Fo/idUX5j8ObYN22/wrkcWQPtqKNFkJilAycrEojnKDEoWDBryjdzcT4pT09+cQBBA2zzY+W0Ydnt+9ySSoryWiS1atAhwgiCjRo3i6KOPzvhaxx57LKNGjeo8fv/993u9v75y/vnnM2fOHCorK3s8d8KECXz1q1/lH//4hwJB0qc2RiCSJPt1eZIgkYhIv2ZZ3WcH5bJfUIdANZSf4F7rqVSs5d/Q9rL/Y83/zM6+RLKtz8vEfIJBra9CvMG7LpJM2zz3cfNjKheTfiOvmUEdmTKWZTFt2rReX2+vvfZi48aNrmtny5lnnsmZZ56Z1Wt2uPjii7n44ouJxWIsXbqU1atXs3nzZpqamrAsi6qqKoYPH87MmTNdAS+RvuRXItZhWXPf7UNEpE+VHeQEV/yE+yAYBE6pWPM/uo6bn4R4vX8zaDvunxXU+dx/wOCrsr9Hkd7qywbS8VaIrvTbhFNiWXlq9u850MXrof63YJXBoEudjMdiEDUqRaIfOq+tkuxVqIjkSl6DQa2tXZ8uKyoqen29xGskXru/CAaDTJs2LSuBMZFs6y4YtKL//XETEUlNsswgqwJK9uybPVScCpQA7bsWItD8L6g6z3tu04MQeSf5tVqecxrlBgZnf58imYrXg93o/1guMoOiywBvCwjAKRVTMCi7bBs2HOdMcANofR5GPpjfPWVLzKdtSMt/FQySfiGvZWJDhnQ1P1y3bl2vr5c4jSvx2iLSe6u6GSGvzCARKVqlB/qvh2eCFeybPQRroPw491qjT6mYHYUdX3evlUwBEpu6tTuZRSKFJFlWEIDdBPEkgaJM+ZWIdWh5Ovljkpn2pV2BIICmhyDezRvL/iT6oXet9dm+34dIBvIaDBozZgzg9Ax67733elXatW3bNtfY945ri0h2dJcZpJ5BIlK0gsMg5PMT3r7oF5So8iz3ccvj3g/IDX9wPnQlqv0BlH/Uvaa+QVJokvUL6nw8y6Vi7Yu7eex9iK7N7v0GuugKYyGeu15Qfclu839ttvxXfYOkX8hrMOiAAw6grKwMy7KIxWLccsstGV/rlltuIRaLAc7I9QMOOCBb2xQRSDpJDGBbO+xs1z96IlKk/ErF+qpfUIfKjwMJmUh2KzQ/nnDcBjuMsfGlB0DF6VBxmnu9+TEni0ikUHSXGQTZDxz4TRJLpOyg7Iqu8q7FNvT5NrIuWdAwtrH7gKNIgchrMKi0tJQjjzwS27axbZtHH32UH//4x2lf58c//jGPPPJI54j6o446itLSImlKJlIgussMAmUHiUgR8w0GzerbPQSHQrkxdTVxqlj9b7y9K4Z8z5mIZvY/ie+A1pdys0+RTPR5ZpAZDDJKPlueyu79Brroau9aMWQGmc2jE7X8t+/2IZKhvAaDAK699lpCoRCWZWHbNnfddRdnnXUWzzzzDNFo8p9aRaNRnnnmGc4880zuuuuuzucHg0GuueaaPvwViBS/uG13mxkE6hskIkWszAwGhSA8o+/3UXm2+7j5MafvRrwRdn7X/VjZUVB+rPN1aLw3kylxOplIvvWUGRTNYuDAtr09gyrPcB+3PO1M5pPsaF/lXYsWQ2ZQN8Eg9Q2SfiCv08QAJk6cyJe//GW+//3vdwZ0Fi5cyFVXXUVlZSV77bUXEyZMoKqqCsuyaGhoYPXq1bz//vs0NTVh76rH7MgK+tKXvsSkSZPy/KsSKS4bIxAxqsD2roSFTV3Hy4ukD6CIiEfpwRDeByLvOsdV50OgvO/3UXk6bL2czilIdhO0PAmRRRDb7D639rtOVlCHilMh8lbXcdM/oPbH7nNE8qUvM4Ni672TywZd5c60i212/ryX7pu9+xaieAO0/g9K9oaSCbm7T9GWifk0j+7Q8qwTULTynnshklTeg0EAn/nMZ2hqauJXv/oV1q43JbZt09jYyLx585g3b57nOYlBoI6vr7zySubOndtn+xYZKMwSsbAFhwx2B4OWKRgkIsXKCsLo56Hh9xAYBNVz87OP4AgoOwJan+taq78T2oySr4qToewQ91rlabDzW13H0WVOT4vwtJxtVyRlnsygIBDrOsxmSZFZImZVQtnhEJoE0ZVd6y1PFXcwKLYN1s50gmNWOYx+CsoOzc29BmKZWHwbRN6D0pl9tx+RNBVMqPKKK67g7rvvZrfddnMFepJJDBrttttu/P73v+eqq67qk72KDDRmMGhCGUwxfii+QsEgESlmwSFQ838w6FKwSvK3D7NUrOXfEK9zrw35jvd54f0gaExaVamYFAozMyi8t/F4FjODzBKxkqlO9kb5ce71Ym8iXf/brt93uwV2/jQ394m3+mcBFXuZGECr+gZJYSuYYBDAwQcfzBNPPMFvfvMbTj75ZEaPHt3ZXNr8b/To0Zx88snccccdPPnkk8yZMyff2xcpWquMQM/EMtjdCAYpM0hEpA9UngF0U9pVeQ6UzvKuW5Z3qliTgkFSAGzbJxhk9LjKZWZQR3acGQxqfcEJZBSrxAxDgMibubmP2di+c70YMoOMMjGr2n3cor5BUtgKokwskWVZHHnkkRx55JEA7Ny5k+3bt9PQ0ABAdXU1tbW11NTU5HGXIgOLX2bQHkYwaH0EmmM2FUH1nxARyZnQGKeUo/VFnweDMORbPuu7VJ4GDXd0Hbe9DLEtEBye9W2KpCy+A+w291rpftD4h67jXAaDSjqCQUfjBFp3NUm0W5w/I+YUv2Jgt3snCkZXQ2wnBGuyey+/5tFQHD2DzEBX1SeccuIOrc+DHXNKjUUKUEFlBvmpqalh8uTJ7Lvvvuy7775MnjzZNxC0bt069tprL/baay+mT5/e9xsVKWIfGsGgiWUw2ad3qkrFRET6QOVZ/uvVcyE8Jfnzyj7q9EfpZEPzv7O5M5H0+TWPDhu9emKbnAyibPCUie0KBgVrofQA92PFOmK+bb7TgN4UeSf79/JrHg27vqcx/8f6g3i9t0S36kLjnDp3436RAlPwwaB0JJaRiUj2mJlBE8uhImgxJuxeV6mYZNOzO2yOmm9z8js2Cxr197pIp8ozfRbDMOQb3T8vUAblx7vXVCom+WY2jw4Mh9Bu7jW7Fez63t8r3gCxte61xCbqZqlYc5EGg1pf8F/PSTDIp3k0AHGIbc3+/fqKX7+g0oOcHlSJWtQ3SApXUQWDRCT74rbNaiN7e2KZ83+zb5DGy0u2NERtzl0IL9TB49vhM++jQL9Ih9BuUPoR99qgy70foP1UGn2DWp4s7r4oUvjMzKDQGAiO9J4XzUIT6fYlxoIFoT27DsuPdT8cme9M3So2rc/7r/dlZhD071IxMxgUGA6Bcm9ZoYJBUsAUDBKRbm2KQFvcvZYsGKTMIMmW53fC5vau43ca9foScan9Ic74baBkOgz5emrPqzgZVwNquwla1eRU8ii6zn0cHAOBCm8z3mz0DTJLxEKTnIy5DmWHgFWRcIINLc/0/r6FxI4l6TkGtPVlZhD9PBhkNI8OjXf+X/ZR93rri2BH+mZPImlSMEhEumWWiIUtGLWrPMwMBqlnkGTLCzu9ay/XeddEBqzyI2G3NTD6aRj7GgSHpva84HAoPcS91lOpmG1D/e9g/ZGw5TLvB2qR3vDLDAIIjTLOy0IwKFnz6A5WKZQd4V4rthHzkQXeXjcd2t8DO5rd+yVrIA39e6KYmRnUkZlZfpR73W6Ctjf6ZEsi6VIwSES65TdJLGA5P1U2J4opc0OyxTcYlIV2ESJFJTQayo+BQFV6z6s81X3c/M/kzXntOGy7ErZe6vQZabgT1s6ALZd6MzpEMmH2DAqO3fV/o1Qslo0ysSRj5ROZfYNanspe8+pCkKxfEDhT3TyldL1gRyDWzd8T0f6cGWQGg3ZlBgWHQ3gf92MaMS8FSsEgEemWp3l0Qja1mRm0uhUi8SJ6wyR50Ri1ebPRu67MIJEsqTD6BsXW+U+8saOwZS7U/9p4IAYNv4M1e8C26yG2I1c7lYEgWWZQMBeZQYvdx2ZmEECFEQyKroLo8t7fu1C0JOkX1CGbfYOia4Fu3hf268wgs0wsoWdbmfoGSf+gYJCIdMsvM6iDGQyK4wSERHrj5XqI+bx3XNgEO9sVbBTptZJpENrDvWaWitltsOmT0PjH5NexW6Huh7Bmd9j5I4j3YXpo2zxYdyCsmQaNf8/9/aIbnd+juFIUs86TGdQRDMpyZpAd82a9+AWDSmZ4A1HFMmLetn0yg0Luw2z2DequeTT0855BSTKDAMqNvkFtL6tRvxQkBYNEcqQ5ZrOwySbazzNlVhvv7RMzg4aUWNQa7yE0UUx6y69ErMMr+hwm0nuW5Z0q1pwQDIo3wcZToflh44klYBk/BQCI74DtX4U1e0L9XdnvOWKybdj8aScg1L4YNn8SWl/P3f0i78GHE2DTx+HDyRDbkrt7DTR23BsQyFVmUHS1E+RM5FcmZlneqWLFMmK+fRHEjelolZ9wH2c1M6ib5tHQf8vEbBti3QSDyo7E9THbboO2V/pkayLpUDBIJMu2tdvcuMJm9Euwz+sw8RX4zTqb9n4aFPKUiRmfA9Q3SLKtu2CQSsVEssQsFYu85ZR0xHbChhO8mRBWGYx6FMYvg+rP0TnJLFFsHWy9BNbuC5HF3sezJTLfKPeJw5bP5C4zacc3gV3TgOLboO6XubnPQBTbAsTca8EkwaBoL4NBZr+gQC0EhvmfawaDWv+b+yBnXzCzgoLjofLj7rVsBoM8zaONvzf6a5lYfIs3sJhYJhasgfBs9+PqGyQFSMEgkSzZvisINPkV+N5qaNj13mZ9BC5fAnu/Dg9sson3oyaEcdtmtfFvXWJmEHhLxZQZJL3RErN5vZvsHwWDRLKk7FAIDHGvNfweNhwNbS+5161qGPUEVHzMydoYfgeMW+TNKOjQvgi2fi43+wZoetTnnh/Ajhuzfy875h0t3vpy9u8zUJn9gghAcITzZbbLxMwpeCXTnCwgP2YwKF7nZKL1d2a/oPIjIbyvey22IXvZb2aZWHim91796H1xJ7NEjCAER7uXytU3SAqfgkEivdQRBJpkBIFMy1rgvEVwwDx4fJuN3Q/+8dsUgba4e03BoIErbttct9Rm3Es2Z79nsyMH/Xteq4dIN5d9rZ5+X3opUhCsEFSc5F7bcZO3kXSgFkY/43xoTBSeAiP/CmPfcCaamVqfh0gWpxIlavYJBgHU/Qxa/pfde0XegvhO91rb606QSHrPDAYFR4EV7Prade6m3gUOUpkk1iE0Fkqmu9f6e98g23b+XCYqOxJK9vSWf2arb5BZJlY2x9hTM9g+EyMKnad59Niu120HT9+g15wSXJEComCQSIZSDQKZ3m6EkxfAUW/BSzsL+0OtWSIWtmBU2L2mYNDAces6+PlaJ9vtoS1wy4c9PyddZonYJCP42ByHBXovJZIdZqmYKTgKxjwPZQcmP6f0ABj9NIz6jxM4StR4T6+36NG+EiILkjxoO9PP4ln8cGlmBYHz4TWyMHv3GMjM5tEd/YIAQkZmEO1Of6pMmcEgv+bRiTwj5p/O/N6FILrMW5ZVdoQTxAjPcK9nq1TMzAwq/YjPOf2wb5CZGRQc7z2n7DDczbmj0PpiLnclkjYFg0TSFLNtvrOq+yCQBZw3Eh7YGw6q9r/O/+rg8Lfg1AU27zUWZlDIb5JYwEipNnsGrWilX5XCSWoaozbfXeVeezoH06T/Z5SBfXwY7Gm8xl5SqZhIdlScAJT4PxaaAGP+5/2QmPRax0HVhe61hnuzn0HT/I/uH4+ucJpZZ4tfMAig7dXs3WMg82QGJQSDzDIx6F2PGb8yse6YI+ZbX8luoLGvmSViwVFOVhB4S8WyEQyyo7tGyycI7+2UnSbqjxPFPJlBPsGgQDWUGoF09Q2SAhPq+ZTeOeYYn9ThHIjFlK4rfeOLS+G2df6PWcC5I+HGCTCt0gmafGK4zSNb4cYV8H6z9zmPbYP/7oDHZtocNSRJ7XqeeJpHl3nPMTOD2uKwrg3G+5wr/dcv18KWdvfae01OcDSYrOdCmiJx29MT6Iga2BGFpQkZZ6/UwdXjsnJLkYEtMBjKj/KWv5RMdbJ9Qmn+Qau+COp/3nUcW+dkU1Sc0NuddjH7BVVdCO3L3X2O6m+HijOgwuj7ki67LflP8ltfgUGX9e76knysPIBV6vS1SswGim0EjPKtVMS2OU1/E3VXJga7JkKVAB3/+LU7ZVYVJ6d//0JgNo8uO6KrZ1IugkHRdXiag4cmQGg0tDd0rfXHJtKesfK7+Z9XfrR7ilir+gZJYcl5MGjdunVYltUn/VH66j4ycD213fYNBPkFgTofsyzOGA6nDbP500a4aSV8aDRlbok7/YTeOtBmZLhwAkJ+mUGmkWGoDEJTwr/3y1oUDComO9ttfmz2SgRa4873empFdu7zZoPzZyHR4TVOEOoPCe8VlRkkkkVV57qDQeFZMPrJria+6SidCeH9nGlfHRruzl4wKLbd+4G28gwne2ntvk7/kQ5bPgvj33UCXplqfQXsJLXPygzKDjMzKLFMDJzsIFcwKMMm0u3mdLsSCE3q/jmBKqfHTeJrrvmpfhwM8ukX1METDFrkBEOt0szvZ5aIWZUQGOpkJLUn9BPrl5lB3YyVT1R+NOz8btdx25tOM/Le/L0kkkV9ViZmWVbO/xPJpbqozSVGhnFHOdjCg+BP0y1PIChR0LL4zGiLxQfDz/eE4UZm/sYIfGZRYZVYrTbeA/tlBlmWxe7GuvoGFZcfr4GdSSbqLshixvzzO93HMyphaInFIcZ7pjVtsKa1cP6ciPRrVRfCoC9CaHeo+gyMfjazQFCH6ovcx82PQCxLNaXN/8aVaWCVOX1dSvaA2h+5z42tga3X9u5+yUrEwOk/k61f10DWXWYQZG+8vKdEbE+niXpPzKli/bWJdPtqb2lT+RFdX5caU76IQuT93t3TbB4dmuBkIplTtzL9nuaTp0wsSWZQ6RwgsdlmHFpe8D9XJA/6JBhk23af/SeSK9ctcz6EJvrVlJ6DQKbSgMUXxlksOxhOMHpt/mdHbpryZspTJlbuf94eRmbIMgWDisbmiM0v1iZ/PJvBoP/tdB8fUeP8f68KqDHes7/Szfh5EUmDFYRhP4PdlsGIeyBY07vrVZ2L68OP3QaNf+7dNTuYU8TKj4NApfP1oMu9U80a74amf2V+v+6CQeBMFZPeSSUzyHV+pplBZjBoamrPM5tIty/qn8ELMysoMNQ9LS0wGEIT3ef0tlTMzAzquL4ZDOpvmUF21LvnZJlBgXIoO8S91qq+QVI4cl4m9swzPfxDKtIPPLbV5m7j7/1jhsDnx/ifn4rqkMW9e9nMegM2RLrWb1wJh9fYHDI4v9lucdtmtRH88ssMAphsrK9QMKhofH+1uwTQ9G6WJntF4zYv+vQLAqdp+ZxBNo9v73rspTr4ZC+SF0QkR4JDofI0aPpb11rj3TD4it5d126D5ifcaxUf7/raCsDw38OaGWAn9CPZeimUvefsKx3xem+wxyp3l421vpLdfkgDjd3uDe70lBmUaX+ZdMbKJyo9wGl4nPiaan0Bqj6Z2T7yxbdfkJETEN7XHcDpbTCofZX7uGSi8/+Q+T3tZ8Gg2HrAqGlPFgwCZ8R863Ndxy3qGySFI+fBoLFjx+b6FiI5taPd5jKj1Lw6CL+b5p2sla7hYYs/Tbc59m3oyGuL2XDeQph/oE1tSf4CQpsiTjPoRMmCQcoMKk5rW23uMH5oOzLsvDY6ZCsz6J0m72S+IxLKw+YMxhUMekV9g0QKV/VF7mBQ2zyIvJf6ZDI/Lf91Rrp3sqDiFPc5od1g6M9h68Vda7GNsPUqGJlmdlLL87ib34adMrqGO7qW1Deod2Kb6Hr3s4uZGeQJHGQpGNTTJLEOVsgZEd7yeNda6/P9LxhkThJLLBHrEJ7lzr5r621mkE+ZGPhkBvWzTCuzRMwqdzKtkik/Gnbc1HUceQdiWyE4LDf7E0mDRsuL9OCape7MHYCf7AETyrITqPnoEIuvT3SvfdgGl3xAXksfzRKxsAWjwv7n+vUMUtlm//ft1e6AYIkFd0xxn7Oq1emn1VvPG603ppTDqNKuP2OHGn2D3mqEppheYyIFqfx47we+hnt6d01ziljpHAj5jB6vvgjKTzKe+wA0Ppje/cwSsbI5zoe6RG2vgW381GSgim2HzZ+FdQdD/e9Te47ZL4gS74fqbJSJ2RFoX2HcKsVgEED5ke5jM7BS6KLrIbrMvVZ2pPe8Up+JYr15L5dqmVi0n2UG+TWP7u6Hw6UHgWX81LS/vYakaCkYJNKNR7bY/Ml433FiLVw82v/8TH19IhxZY9x7a/IR9n3Bb5JYskwoMzOoIeYdQy79y7Jmm98b788uHQMnDoWQ8TJ4LwvZQf9LUiLW4aBBEEy4b8yGN9Q3SKQwWSGnMXWixj86ZUGZsOPQ/A/3WuXH/c+1LBh+pzOSPNHWyyG2M/V7msGg8mOh7GD3WnyneyrSQLbj6045YNtrTmZW29s9P8evX5BZupSNMrH25XhGnIdT7BkE3sBJ+0Ins6O/MEvEAoMhbDaMxjtRLL7N+z1KlR3zCZrsygwys73iW52AXX/haR7dTYkYgBV2sssS9ddG5P1F81Ow4WOw5RKIbc73bgqagkEiSWyN2HzeKA8bHILfTiXr0+uClsWfpsMwY8LYl5bBWw35yX7wNI/uZlT8uFInaySRJor1bzevcgIuHcoDcMMEpwH6NCP4t6CXfYPitp20eXSHyqDFrCr3mkbMixQwc6pYbDM0P+5/bk/a5nn7ilQkCQaBE1QYdqt7Lb7NGXOfiugmaH/PvVZ+jPOhL2i0P2h7JbVrFjPbhqaH3Wtm8M5PT5PEwCczaIsTaEiHWSIWHJ3eaO/S/Z2x6InMAEshM7NQyg5zGsebQhOd/kiJMu0bFNsAGMHfZJlB0L8+sJtBrmCSSWKJyj/qPm68ByIKJOdEdCNsOg1anoCGu2DrNfneUUFTMEgkiauWwmbj37Ff7AnjslQeZhpbanHPXu61iA2fWggNWSjDSZdfZlAyQctisjFpTH2D+q/3Gm3uNzLirhwLo3eVbc00gjK97Ru0sAm2G6PrzUw5gDmD3MfqGyRSwMJTd41VTpBqMMZkThErmdpzZkflud6eQg2/Tq2sq9Vo8GpVQ+mBztdmdlCr+gYR/dAbrEvl96WnSWLgzQwi5gT20uEZK59GiRiAVeKdCNXyXHrXyCdP82ifEjFwsrLMjKFM+waZJWJWGQR3TX0I1OJpW5tJqVi6QcFs8SsT60nlWbg+dtttsPXzvSvDE38tT4Cd8CGm+VFnApz4UjBIxMdfN9v81fghxalD4QKf9gTZdNJQi+uMf1OWtsAVS/q+B89qI5jTXWYQ+PcNkv7pppXulp7VQfjqhK7jfYwfkL7by2DQ8zvdxxPLYLxP0NXsG/RKvZNVJCIFqnqu+7j5X5llAJj9grrLCupgWTD4y+619qXQ8nTPz/WUiB3plL4BlBrBIDWR9s+Oanu95w+6KWUGDfeupds3KNNJYonMAIo5qr1QxbZA+yL3WplP8+gOfn2DMtHu0zy6I6veCvSu/K/1JVi9G6waBNu+0vclZp4ysRQyg0r2hMFfdK+1PguN92ZtWzkTXetMTuwv/dHa5rmP7RZngIH4UjBIxLApYnOlkblZG4Lf5KA8zM/3JsNBRpbufZvgnj4etuApEyv3P6/D7kbpkIJB/dMb9TYPG60QrhsPQxPqAM3MoHebeheU6alErMMhRjBoRxQ+aM74tiKSa1XnOJN2OkWh8f70rtG+3OnRkihZvyBT2eFQYkwwq7+95+d5gkHHJFzTyHaKvAfxBga01pe9a/FtEF3e/fNSyQyySiBgTF2KpvmGKNNJYonMJtKRd52m2YWu9X/uY6sSSvdLfr7ZNyjTYFCy5tGdx+ZEsTQyg7Z+AWJrwG6Gultg/dF924Q6k8wggCE3ewNH2/6vsPtPNT0KH06G9YfAhiP7R0DIDAaBE5wWXwoGiSSwbZvLF8M2ozzs1inuyUa5FA5Y3L83DDLKua9eAu839U0WRNy2Wd3mXuspM2gPI1ikYFD/9HVj4MrQErjWeJ9jBoMaYrDaCB6myrZtT2ZQsmDQ+DKL8aXutZdVKiZSuAKDofJM91rD3emVRphZQcERUPqR1J5rWTD4Cvda8z+9P9lP1L7C+0E2MRgU3g93iUsc2t5IbT/FKlnfpNbXun+eGQzyywyC3mWR2Hbvy8TAKRO0Et8I2d5ASyHy9As6xAmwJWMGg9qXQDyDN3TJxsp38HxPUwzmxFsg8pZ7re0lWLefkzGUa/Fmb5liqsGgQBUMvc243jbY9qXs7C3bYjthy8V09n5qfRFaMuz71lfsdoi87V1XMCgpBYNEdlnf5mQEPWIE6M8aDueM6Nu9TC63uNN4r9Ichwvfh/Z47gNCmyLukeKQQpmYegb1ey/stPmPMeL9K7vBIGN82Jiwky2XKNO+QUtavL25juimr6eZHZTNYJBt29TloT+XSFEzG0lHFng/zHXH7BdUcap/89tkqj5tNMWNQ/0dyc83s4KCI9zZRYFyKJ3lPmcg9w2KNyefHNbWQzAolTIxgFAvxsvHNoJtjJ7MpEzMKvX2wOoPpWKp9gvqEJ4BJP6bH8+sxKanzCDPePkUA3ztS3EXsu8S2wjrj4K623Lbh8fMCoLUg0EAladA5dnutcY/QMuzvdtXLuz8vjfw1fZmfvaSqshCpx+TqafA9ACmYJAMeGtbba5aYrP7q3CH8b5keAncPqVvysNMnxhhcZnxvujNBvhhNz/QzBazRCxswahw988xM4O2tqMP1v2IbdvcaGQFjQ47jaNNlmV5m0hnOFHMzAoaE/YGFhPNyVEw6N1GmwmvwLAX4XOL9boVyZqyj3qzAlJtJB3b6vw0OlHF6endP1AN1caY+/rf+X9gAG9PobKju3qddFDfoC5t84AkzVm7+32x23wyLHKQGWSWiFkVEByX+vMTmaViZtZNoYnt8JZ5ddcvCCBQ6fS3SZRJqZgZDCrJUmZQ++JuHozCtqtgy0WZZTOlwgwGBYY4GT/pGPoLsIyJGFs/B/EMU6xzoX011P/Cux55t+/3kg6/EjFwSo0HejlvEgoGyYD1YavN5Ytt9ngVbl/nzYQBJxA0PNz3gaAOP9sDzxjvb6+Cdxpz+2HVb5JYoIeA2MQy718oKhXrP57aAS8agZUbJkJF0P/7vo/ZNyjDzCC/fkHdBV/NJtJLWmBLpPd/Hq5eAmvbIGbDnevh+R0KCIlkhRWAqs+41xrvTx6MSdT8GJDwj7NV4S7ZStUgo1QsvgUa/+Y9z45DizFJzO9+Zt+g1lcG7lSgZCVi4GQMJfuA69fjJWmZWC8ygzz9gqY6r8lMlB3lPo68DfECrlVufQlXFo1VBmUH9fy8XvcNivs0WZ5oHJs9g1LNDDKDQT7vFxr/AOsPhfZVqV0zHZk0jzaFxkDt991r7UudTJxCseMG/7+jC70Rc9KSXRva5vfpVvoLBYNkwFkfD/OtxrHs+Sr8Zr0zvt0UsuAHk+GsEfkLBAGUB51x84l/UNtt+MwiiOSwXMzTPLqHEjFweh3tZpxXSKViWyM2D22xWdEyQN+w98AcJT+xDC4Z7X8uwExjolgmZWLp9AtKvG+F8S/XK/X+56Zqe7vN/4z388/s8D9XRDJQbQSD4tuh6Z89P8/sF1R+glOmla7wdO8H+frbvOdF3oW4USvuFwwyM4PiWyG6wnteIbDt3I5Vbu0mGESS/h3g7RdklTs9pvz0JjMoG/2COpR+xCkX6xT3Zq4VErOMrfRgY/9JeIJBb6d125C1zRtI6KlMLOXMIOP7Wf05qLnee17kLVh3ADQ/ldp1UxXLsHm0adDnvL3Pdn4fIu9ndr1sapsHjff5P9a+tLAymEzJMoOg57LVAUrBIBkwmmI2NzeO5czGvXmorZZ2n5hAiQWfGwNLD4avTMhvIKjDQYMsvmL84GFBk5MhlCt+mUGpMMt7CiUzaHGzzb5vwNnvwdTX4OdrFBBKZNs2zxnBj2vGOQG+ZMwysaUt0BxL7/d1VauTjZOop2BQScDiI0Z2dW9LxZ7Z4e1A8IayiUWyp2Syt1dJT6Vi8RZoedK9luoUMT+DrnQft70CbUbvIrNfUGgSlEzyXis0CQLGyPNC7BtU/3tYWQarhkDDn7J/fdv2nySWKNkHML9+QcmyQs1gUDrTxLIxVr5DoMz7Ab6QS8XMYFBPJWIdzGBQ24K0Mt/ClhnYCXu/h37f01TuYWYGhac7WTYj/gaW8cYkvg02ngh1v0pp3ynJdJKYyQrCsN8Cif3P2p1ysXxO7LLtHhpax6C9AAJWfuKt3ZexqYm0LwWDZMD4zPvwcFstMZ+U0rAFl4+FZQfDr6daTCgrjEBQh5smwT5GJsYPPoR59bkJaqw2gjipZAZBYTaRbojanPkubIg4xzEbrlsG1y61iQ3UtH7Dqlb40AjKHFvb/XP2rnQnZ9vAwjT7Br2w0308rAT2qvA91SXbfYP+4zMd+PV6J0gmIlliNpJuecIbEHA9/owzOrpTACpOzvz+lR/3liGZY+Y9I+WP9b+WZXlLxborl8qH1ldg6yVABOxG2PIZaMny9KvoCqfkLpGZgZWscWsqY+U7ZLVMrBfBIPAGNQu1iXS8wVsWY/Y8SqbUCAbZ9d4eQN0oCaxzL4R285bmmWViRCDeQ0qubUPECAZ1fD+rzoKxrztlgC5x2HYNtGYpEJCNMrEOpTNh8P+511r/l3pPtVxo/lfPr+lCLRWLvEvn5DM/aiLtS8EgGTBe3OldKw3AVWNh+Ry4bYrF+AILAnUoDTjlYolDnWI2zH0fWtPMxkiFp0wsxax8Mxi0Is/BINu2ufgDeL/Z+9gv1sI5C6ElB79//c1zO93Hw0pgeg9BmYqgxZ7G9zvdUjG/ErFUmrWbfYPeaMi8bNK2bZ7yCQbtiBZGMFOkaFSebfzkPg47boaYzx9A8E4RKzsMgsMyv79VAoMuc6813uc02QVnJLE5eam7/kRmqVghZQbZbbtGQif+vRiHzedBbFuyZ6XPLBELDIeqc91ryZpIR42AQbJ+QeDNIolvTa30Ld7k/fDe22CQGVBpe7MwG9O2vgzEEhZKvK/ZZILjnMbIidLoGxS2jECf2TwavAE+6LlULLYBbOP3OpwQ/Anv5QSEKswMQtu/GXImzMygYIaZQR2G3OQtodv+ZYht7t11M2G3O/dOFNoNyo93rxVqE+mIUSJmGT9Fj63t/gcQA5SCQTJgnJUwHr6MOF8cBysOhl9OsRhbWphBoESzqy1uMP49XdQMN63K7n3its1qI0sk1cwgc6JYvj9M/2QN/G1L8scf2gLHvu30ExrIzKDMUTWpBWV6O1HM7NPTU4lYh4ONMrG2OMzP8L34khZvVlSH13vZi0hEEgQqoeqT7rWG38Lq0bDpk9D8764P+HYcmo2eQp4PeBmovhQIdR3bLU6zWXBKCGwjol1+dPJrlRkfrCPvOGPWC8GO7/iXcsTWwpbPZq/ZdZtRIlZ2iLeMKroSYj7/EPcmMwjb/5qm9iXGguWdlJWu0jlAScJCrOdSuXwwR5WXHgiBFFJvwcl8C89yr6UTDAoYQR0z2AFO76KAkYLcUy8os0TMKvdOhgsMgpEPwaAvuNcbH4RoGhllfmzbJzOol8GgQAUM+7V7Lb4Dtl3Xu+tmouF33t/jId+D0gPca4WaGWT2C6o4zTu1LWmD6YFLwSAZMH61J/yoajXfLFvFY0MW89M9LUb3gyBQoq9NgNnGB/CffAiv1GUvmLEp4p2slmmZ2Lq2/GXePLvD5vrl7rVBQacvVKJX6uGQ+bCseeAGhMxg0JE1qT2vNxPF1rXZnp5SRyTpHWoaUmKxt/EDn0xLxfxKxDq8XoA/7BXp18xSMQAi0PQgbDwZPtwNtn0VGv/kLQXqTb+gDqExUHmGe63+9l1TxIwSsfBMCBp9gRKVHoj7bXQUIgUwrabtHdj5g+SPN/8D6rPUQ8XMDCqbA+G9nalvrvN8yjP8egYlExyG5yNLKk2kzRKx0MTMGpAnClTs+t4nKMRSseZ/uY/Lj0rv+Z6+QakHg0rMzCC/YBB4m0j7TZhLlOpkOCvgZNxYiW9e26Hhzu6v35P4DqN0ld6ViXWoOBEqP+Vea7wv+82vuxOvh+03udfC+zuZfuF93OuFmhlkBoPKDoIy48+qmkh7KBgkA0bAsji+tJ6Tw9sZGsjhZI0cKtlVLpYY0IjjlIul27w3GbNELGzBqHBqzzWDQQArejF0wLZtfr/B5rIPbB7ZYqfcw2VNq82nFroGEmMBf94bntgXBofc5y9rcQJCr2UxqNZfrGqxWW18j1INBvlNFEv1e2T2C6oJeYNL3ZljNpHOMIvHr0SsgzKDRLKs9FDvh55EsQ1Q9yOnv02ikr2hZPfs7MFsJN2+FFqe9ukX1MMI+0CV90NSt5O1+oAd3VUelvgeJ+TNwNj25d6PWY43QmSBe610Dlghb7DE7wNYOplBVhCCI9xrqQSDkvWX6S2zVKzluexcN1vaV0D7QvdaxSnpXcPsG9SrzCCfMjGAkDklrodgkOf7afYHShCsharz3Gv1d/Rusp5ZIoYFobGZXy/R0J9BoMa9tv3/Zefaqdj5I2//r6E/dgJr4Rnu9djarvLaQhFvhojxmi89EEoPcq+pibSHgkEi/cw+VRbfNIabLG2BG7I01dZvklgghZIhgMqg5Qkc9Wai2E/WwCUfwO82wJnvwSkLYHVr98GGtrjNJ96DLUYPuW9Ogo8NtfjoEIv/zYbxxnTVre1w9NvwyJaBFRDy7RdU6Xuqh1kmtj0K6yOpPdfMRjpsMARTfJ0BHOLTRDrdhs+RuM2zO5M//lYvehGJiA/LghH3w6jHofKc1MZcQ3aygjqUHeEElxLV3eIN5PQUDILC6xtU9zOIvOleq7keRphjoiOw+VO963XT9jruH7mEuspJzFIxv75BnsygHj5UZ9JEOpuTxBKZTaTb3nD6ExUKs8QyMNz7obgnZmZQdIWTPdIj29szKNXMoHTLxLoLBoE38BtbB02P+p+bCrNELDja6UWWDaFRUPtD91rkTWhfmZ3rdye6Fup+4l6rOLUrm6xkKu7SSLzBxnyLvI27R1bAKXU0X/etb+R3WlsBUjBIpB/68ng4qNq99su18MLO3n9w9TSPTrFErIOnb1CGLRTWtNp80/g38PHtMON1+NXa5JPAvrDUW95z6lBc/ZZmVFm8sj/MMoIZLXE46z3n+gOFmaFzZE3qwb8JZVAddK+l2kT6f8Z9U+0X1MFsIr0x4n3t9uTlOmiKJX88YqffFFtEemBZTlnEyAdgtw0w7HZvJokpG/2CEu8/6Ar3WsvTuKfQhFIbw232DWp7JXv9eNLVvhR2fMO9VjINhtzo/H4P/rL3/K1XZL5fM3hWOqurJ02ZEQxqfd39ASze6EyoStRdZhB4m0hnUibWU/AgVWWH4B4JHs1/Vliipn+4jytOcbKr0hGejqu/FqRUHhSydhCwjH+M/RpIQ+/LxHoK7pXut6vHU4L6W7t/TneyNVY+merPQmCoe63p4ezew8/2G8FO/J4F3YEpq8T7e11opWJmiVjJdKdPnRmYtuu9QcUBTsEgkX4otKtcrDThT7ANXPQ+NEZ790bULzMoHWap2PIMy8S+vByafYL3TTG4ZikcMR8WNbl/rb/fYHOn8QOpPcrhD3t5AxxjSi2enw0nGNnzNs71r1pi0z4AskLMzKBUS8TA+T3dx6dUrCebI7Znwlu6waA9ymG48YOql9LsG2T2C9qvCqYarS5eU6mYSO4Eh8Cgy50JQOPeg8Ff8maAhGd7G5j2VvWnjclmhtKDIFCd/PHO84wPmrENTglFX7PjsOUS4wOdBcPv6sq+qv2O96fkjX+Cxnszu2ebGQxK+L3o6QOYXzmQGRjwPG68LnpqBmzHfTJJspQZFKiG0v3da4XSNyi20zsVr/K09K9jlXp/v1LoG+QpESOUvB+UJ8DXTTAo3gLR1e61VIJ7ZnZQ63PecqJUxXIcDLJCTtPjRM2PZPcepra3vX8HDLrMmcyWqMQoFSu0JtJmMKjj34zQaG+TcZWKuSgYJNJPTau0+I5RLrayFS54v3elLauNsq50M4M8waAMMoOe3WHz1x6mar5SD7PfgJtX2kTiNvPqba40BodUBODvM6DG7Bq9S3XI4h/7wGd93oPevg5OfKe4J42tarE9wb90gkHg00Q6hUz5B43vbWXQCcSkw7Is31KxdDxllLwfVwsfMXoRvaEm0iJ9I7w3DL0FdlsLI/8J1Z9zPsiNesS/SWxvBAZB9YXJH0+lRAycyVTmCO58ZIg0/NYbABh09a4Mll2sMIz4s3e6ztYrvL1YemLbPs2jE+4VGust+0rsG2SWiFmDnB5M3Uk3Myj6oREcI3vBIPCWihVKMKjlCVw9o6xSKD8us2tl0DfI2y9onBPk8BNKo0wsugznx3UJSqb0uB+qznbK5BLV39bz83z3YE4Sy0LzaJPZ4L71xdyNmbdt2P4lXL+vVhXU3OQ9t9CbSCcLBoH6BvVAwSCRfuyL473lMo9udUqdWjNsKO0pE0tz8EZvM4Pa4zZfWOpeqw3BRT4Bm3Ybbl4F+8+Ds9/zTkG7c5rTY6k7JQGLO6fCtyZ5H3t2Jxz0JixoLM6AkNm3Z2gJnildPfGMl+8hM8i2bX5nvFc8qdbJdkuXp4l0GsGgLRHbM47++Fo40EgGUGaQSB+zQlB5Cgy/A4bdmpsPXOAtFUuUajDICqTWHyeXomtg21fca6GJUPtd77klk2H479xrdjNs/iTE0/jHun0JxI3USjNLyiyhS5wolk7z6A7pBoPMniaBGm8T6t4wm0i3vuZkr+SbWSJWdoxTLpMJs29QCsGg0lTGyndIJzMoYpSIBcf1HEAEJxg26DL3WsO9EM9gBGmuy8TACdxZid8v2/s9zZaWJ7yN82uuh9BI77lmE+nIu/kriTXFG7wlhInBIE/ZqiaKJVIwSKQfC1oWd0+DKqMU/LFtcPq76U8Yi9s2q9vca73tGbSqlbTKrW5fBwuN7JLvTIa7plk8M8t7fXDO/9DY9xfGwbkjUwswWJbFjRMt/miU3nXs/5A34e+bC+QfvSzyGymfar+gDuZEsQ+anSbeycxvhHeMgNHFKXwO8GMGQt9tgo1tqX2fntnh/hljZdBpSn2QEWBa3Aw724vvey8y4IX39mZ3AFjl3kBGd8qMIEi2mkjb8Z4/bNk2bL0cbCOyPey3yT8oV30Cqo0Px5EFuzIEUmSWiAXHeIN23QXJ0hkr38H8gNpTA2nzQ254htMvKlvKDsP9MSqS/7HVdju0/Nu9lkmJWAdPMOhdsLtptAeEAyk2jwZvaWC8LnlAzSz5C6fR/2nQ53B9r+wmJyCUrr7IDAqUQcXH3Gu56htk9hgLjoXB1/qfa2YGxXd6g7r50vYW7nd0Ifdr18wMiryTXvC7yCkYJNLP7VFh8dhMb0DoPzvg1AXQlEZAaFPEm13T2zKxmA1vp9iEd3PE5pur3Guzq+DSXe8TPzrE4p0D4Su7QbCb93SHD4ZbMphCfP4oixdmwxhjIlpzHD6xEG5aaRMvlJ+EZIFfMChdM4zPG1HbCQgl8zvjvcOEMjh2iP+5Pdm/GsqMvlm3rUvtuWa/oKNqoDRgsW8VhI3X1jyViokUJ7OfCDiNo1OdcgbeiWJtb4Ld5n9uKmLbnfHwK0thdS1sOAG2fwOaH4PYVve5TX921hNVXQQVPZQFDf2Zd6Ja/W3Q9FBqe2x92X1cNscbaDGDQZF3nfHP0DeZQc1GUCTTUqlkAoOdflaJ8l0q1vqiN+Ml3ZHyicxgkN0M7cu7f0qqY+XBWyYGyb+vnmbgaZT8hcZDxenutfrb0stssWMQNd5gBHOQGQTeUrGWp1Oc5JaG9qXe0qra73Y1gTeFdvP2WSuUUrG2N9zH4X2coFqH0v2BxL+forumjwkoGCRSFA6vsXhyXxhkBISe3QkfewfqU2wqbZaIhS08o+J7UltiUWuUh5/+Lixt7nkP/28F1EXda7/c0z1yvDxo8YPdLV7b3wkUmcaE4S97O+VfmThwkMUbB3hLkAC+vQo+8R409LJJdyFY3Wqzspf9ggAGhyxPwDBZqVhTzObPxg9zLxqVfjZSh7KgxXnGD4t/va7nAKht2779ggDCAYvZKhUTGRgqT/dmJ6RaItbBM7I74jRlzUTTw7B2OjT8Hog6P31v+Q/s/DZsPAVWD4cPd4dN58HOn8HWL7ifHxwFQ3/id2W3QAWM/IuTBZVoy6VOA+KeeCaJzfGeU7o/7olbMSdQBpllBpkNpOM7kgfd2ld4M0nKP+Z/bm+YpWIteQ4GmeVE4f2d/k2ZCo30/r738CG6NGgEg0omJj/ZGgSW8QYiWalYumPlTYONwG/7Ym/2WHdim3D1YoLclIkBVJyMe5R7BJofz+49Gh90HwdHQtWnk59vBXxKxQqkiXR3/YLAafhuBr/zncVXQBQMEikScwZbPDULaoxAzIt1cMI7qZW6+E0Sy+SD+qeNH+BtiMDRb8PyluR7eK3O5m7jPcCnR8KhNf7336/a4tX94fuTu7JDBofgwRkwqrR3qeCjSy3+O9u/T9HDW+HQ+bCim19Lf2BmBdWGYEaGbQVS7Rv0t81Qn5BhbuH/e5yO64z3YtujcE8P02nfb4Z1xmeI4xOyk8y+QWoiLVKkrBKo/V7XcWAYVF+U3jWCNVBiTN5Jt29QbAts+hRsOrPn8qfoCicjaPt1EN/mfmzYbc6EtlSE94ahv3SvxbdDXQ/BpHidtx9PYvPoDoFKb2lJxwewbGQGQfLGuuYH58Bw7/SvbDDLDNte6V1WWG/YNjQbwaDelIh1SKtvkJ1eZpBleYOxfplBtu1tcp5uMKjso94/p+k0kjZLxAhntwdVosBgKD/avZbtUrGmv7qPK88CK+h/bodCbSLdUzAIoExNpJNRMEikiBw4yOK/s5xGwIleq4fj3oHtPQSEPM2j0ywR6/CtSd6pTOva4Oi3YKVPECVue5tGVwXhhz2UepUELL46wWLVHHhkH1h4kBMUy4bSgMXvpsLP9/SWpL3XBAfNg3n1/TcglI1+QR3M8fLvJgkG3WW8RzyxFsaX9e77Nb3S4uSh7rWfrYFYN+nfTxolYuNL3SPlzdfua/VONpGIFKHquTD6Gad0atx8CA5L/xoZ9w2yofGvsGZvaPpL+vdNVHkWVJ6Z3nOqL4aKj7vX6n7uBKeSaX0Nd3+OMJTu53+up2/QrmBQJplBgSGA8dOuZIGzFiMYVHFi9ifSAZQdjqv8xG71lqz0lfb3nUBhInNMeSbMYFA3GRVB6glaRp14dz2DwBsMivr8NCe2wdsXK5zmZDjL8paFNv/DJ8iThKd59LjcvKY6mKVizf/OXqCxfak3qFf5iZ6f59dEOt9iO3ZNmkvgFwwyMzhbFQzqoGCQSJGZVW3x7CwYYQSE3mxwgjFbuhmV7pcZlIlBIYvHZ8IBRobFmjY45m34sNW9h7s3eLMvvjHRydBJxYiwxWnDLMb0MiPIZFkWXxhn8cRMGGK8B90ehfMWQTSN5tiF5HmjTOrIDPv2gE9mkM94+Q+abF40Whlk2jja9H9GdtCKVnikm88yTxnBoONqne91B7OJ9KaI89oVkSJVfjQM/mLmZR+evkE9j5cPWVuZUHYdbD4H4j5/YVWc4oyCH/wlJ+hglnQlCtTA0FvT2zM4H5Brv4+7uW4j7PxB8ueYv7bS/ZL3WPJM8XnVyfKIGb1XUskMsgLekqWoTxZJvBVa/uteqzip5+tnIjgEwjPda/kqFTOzgoLjvYGcTJiBvpZnkk5j8jSPJuAETbqTSi8os0TMKnemiaWr+kKwEt+YxqH+jtSe2xeTxBJVnIY70NjgfV1nyq9ErOzwnp9nZga1L+qxoXjOReYbC2Fv0Aq8genoMoht8543ACkYJFKEZlRZPDcbRhv9fhY0wZFvwXdX2Ty0xeaDJts16Wu1McQh08wggJoSp4+R2ddnVasTlFq7KyC0o93ma8YPs6ZWONPACsUxtRavH+Adu76sBe7rIaO/EH3YarMiC/2COpjBoI0Rpxl4IjMraEQJnGJk9GTqyBqnmXSiH6/xz+ZpjdmerKjja93He5R7g3+vq2+QiCRjTh+LrnZnONi286HJbge7jZrQv9h70DkMDvl8uAsMgeF/hJH/gKpPwdBbYMwLMLEOxs6HYb+Gqrm7Sl4sJ6tm5KMQ8imjSkV4L2+vkPrbvM1yO5j9gvxKxDqYH8Bia50MFtt4s5FKZhCkFjhofd64fgDKj0/t+pkwS8Xy1UTa7BdUeWp2pqdVnAwB4x/r7df7Nl8uscwGy2OdUszumE2k/XoGeZpHT80sKydQ7QSEEtXfmdpkqb6YJOa6/mhvkDlbpWJNRjCo8syeS8TAG2Sx26B9mf+5fcVTIjYLLJ9mp+G9vQH1fGXxFRgFg0SK1LRKJyA0zviB3QfN8PWVcPZ7MP11qHwB9n7N5uz3bN40ynsmdvODyFQMKbH4zyzv+PEVrU4PofVtNjethC3t7sd/safTyLeQ7F5u8fJ+3uDWd1b3v+wgMxgyJOQt9UrHHuXuqV7gLhWLxG3uNd6zXzgqe99jy7I82UGv1cPLdd5zX6qDloSJeRZwjJEVZVmWJztIwSARSapkupFxAHw4HlaEYIUFKwOwMgQrw7CyjN3KbiAU8PkLquIMGLcIqj/t/SBvlUDpbBj0eRhxN4xfBJPaYcI6KD+id/sfchOuEiy7DXZ8x3ueHff2Q/JrHt2hZJrTJDiR3wdas1QoGTMzyK9MzOwXVHowBGu952WL2US69SUn6NeXYpu935dslIiBE0Cp+Zp7rfU5aHnSc6qnX1B3zaM7mAE+vzKx3vYLSmSWisW3eoMjfvo6Mwh8SsUe7X0mTvtSbxPwyk+m9tzgcJ+G4nluIp1KvyBw/v4MG1lu6hsEKBgkUtT2rLB4fnb3GT5R22mo+9AW2Ga8f+lNZlCHoSVOY2u/rJoj5sOvjazi04fB8bWFFQjqUB2y+PZk99ryFvhTP8sOyma/IHCmvZnNpxNLxf651RvwuyRLJWIdzh4OuxmBz5+s8Z73H6M87oBq5zVqMptIKxgkIklZQW+DUmK7/ktBYBiM+AuM/Ht6GT6p/DQ/FSWTofoS91rD75ypXIna3/eOLjf7Jbn2F/D+vpjBoECtewx0d8zfG7/MoBZjpHxFDqaIJSozAnF2s/cDaq41P4arj5NVBeVHZe/6g67wjlHffr0THEwQtszG4N00j+6QSgPp3k4SSxTeC8qM5sypNJKO9XFmEHiDQbHNKZWgdivTErEOhdY3yMzuSRYMAp+yVU0UAwWDRIrepHInQ2hKBlk+2QgGAQwPWzw9C6ZVuNdXtELiFPCyAPxkj+zcM1c+VgsHGYGC7/az7CC/YFBv7WNkTCVmBpklYkcMhikV2Q34hQIWXzTeqz66FZY2u78vZr8gs0Ssg5kZNK+hf32PRaSPmUGBVFWe42T5VH0yO2U9mRpyo9H7Jwo7vuU+xywRC+3W8+hys1Qs8qb7ONUSMeg5M6h9mZP5kCjXwaDgMO/Y6sRSMduGeCO0L4fWl51gWOtLYEeytwezRKzihOR9nDIRKIPam91rkXeg6QHXUolnktjEnq+dSZlYus2jTeaY+bbXeg7g5SMzqGQPKDGCL70tFcu0RKxzT2bfoDxmBsW2OCW5iboLBplNpNte9y13HGgUDBIZAHYrs3jnIPj9NLh8LHy0Bkb5lNQm2r2853PSMTJs8cys7oNSX9nNCV4VMsuyuGmSe60/ZQetabVZbrRrOKoXzaM7mKWAHePlP2y1PdO7stU42nTxaBicWOmAM1msw6aIzdtGKWSqwaDmuJNBJyLia9Dn08pYaIuNZVXLT2HkA075Rb6FxjoZIIka/wiR97uOW192P95diVjnOR/p/vFUmkd36KlnkFkiFhwJ4dmpXz9TZqlY3a9g3cHw4SRYVQmrqmHNHrD+UNh0Jqw/DNZMg5Zne3/veCu0/Me9lq0SsURVFzrlkIm2f90V1PJmBk3s+bqe7+lmdylUvMX7gb83mUHg/P6YDajruskOstu8gce+CAaBNzuo6eHMAxjty3xKxFKYIpaokMbLtxmBZat8Vy+1JMxgUHwrRFdmf1/9jIJBIgNEacBi7miL26ZYPDPbYv2hFtsOgxf3gzunwnXj4aRa2LMc5gyC+6b3rnTIz+hSi2dmO4Em04Qy+GofZN1mw4kFlh1UHw+wOlaa0vuDbPcL6mA2kV7Y7Px+3L3BPYR4cAjOytHnnuqQxeeMzxX3bOyaoPe0EZSqCsLBRtCnw4iw5cmMe02lYiKSTHAEjHsXxi2AsfOcZs9j33aOxy2Ece/DuMUwfhnvNz3Be/WPUB87Jt+7dqu5HqzEfxDisOOmrkOzRKW7ErHOc3oIBgV7yCxynZtmMKg8RyPlTWYT6dh6J9skusrbLLtDdCVsOBq2XA7xXvzj0vpfpzStUyA309OsINR+z70WXQH1v+089EwTy6RMjBjEtibcYxnudxFAyZSer9sdK+QEbxM1/dnJNPETXetd64syMfAGg6IrIbIgs2t5SsRGpJ/RaJaJtS9zAnb5YGZzhWc739tkQhMhYLwBVd8gBYNEBrIhJRaHDLa4eIzFj/ew+Ne+FosPtnhpf4uDBuUmQ2dsqcV/Z8Ek44P2T/eA8mBhZwV1KKTsoP9stzlp5zTObtqbyxsm0hDtPiJkBoOOqMlO0M8MKLXFnWbldxsZ3+eNhIocfp+vHgeJLYBa4/DrXQNO/mMEg44eAiXdNLFWE2kRSYtV4vzkvHR/p9lz6b7OcXi6U9oSngIlu9Nuj8Y1NrpQBEfA4C+615oehLa3ILbdW65T2s0kscRrdpchklZmkDlaPuEf3XgLtBqZNrkaKW8yg0HpaLgD1syAZm9D5pSYJWJlhzila7lQcZr3e77z204ZXGwnQavB/VhKDaSH4/mzkFgqFjFec8FxEDB++pSJQZcCCenvdhtsucjTBwnwlohZ1RAY3Ps9pCI8yxtUa34ks2t5SsTOSr/vWNgoiSTu9BLLB0/z6AO7P9+yvD3MFAxSMEhE+t74MqeP0SdHwKwquHUKnDG8AN8Yd8MvO+g7q6C9D7ODPmy1+dRCaLSdf8xfba/mog/8R6p3yEW/IIBhYYsxRlnhT9fAh23utUtSHBqTqbGlFucZnxduWwfNMdvTPPq4HsrjzO/vGw3+54mIFI3BX4JAjXttx9e906qsMifYlQpzRHaitHoGGZlBdn1XVkLrc2AnjggPQPlxqV+7N0IjoTyFwJNV7s1MAIitgY0nwubPQmyH9/Fk7Dg0/9O9losSsQ6WBbU/cK/FNkPdz7ylXJBaKZUVcgKGrmsmZHyZzaPDvSwR6xAcAVXnuNeaH4Md3/Se29dj5RNZljNlMFEmfYPal0HkLfdauiViAIFKCBmTVPJVKpbqJDHXOUYwSE2kFQwSkfwYX2bxwN4W8w+0uGJs/woEgX920IrWvssOitk2n14EO6Pu9Ye2wPd83pMBrG21WWb2C6rJ3p7MUrE/GBn8+1XB7Orcf6+vM95/bmmHryyHTUa/zmT9gjqYmUHvNkJTTM0GRaSIBWtg8Jfda82PQd3P3WulB4CVYmPB7krFepMZBF29XJqNKWJlh0AwCw3xUjXyLzDke87o8iHfhGG/hpEPwZiXYPwymFgPE5tgwkYY+kuwKrzXaLwb1u4NTf/0PuYnMt8pSUuUy2AQQPnhUHGye23nLd4P5sExqTex9kwUS8gMMrPRSnrZPDpR7fe8wbmd34amR9xr+WgenajydPdx5B1oT7PXTTZKxDp4+gbloYl0dAPE1rnXUgoGmQ3t54Pd7n/uAKFgkIhIhk6shY8YAYPvruqb7KDvroIX6/wf+8ZKeGyrdw9mVlBNyDsFrDfMa5k7yFXjaO8+LE4wAj23G+8ZJpbBHj1M2NuvGhIr2uLAfGUHiUixG/wFb7ZGy1Pu41RKxDrP7SYYlE5mUGCwN8DQkUXi6ReU4ylipkAVDPl/MOxWGHKT05Om8gwnKFWyOwSqnSwPKwCDr3b6S5kjzsEJhGw6DTafD7Ft3d/TDBqVTMle5kx3ar+Pq7TLboDt/899Tir9gjqYGV/RxGBQFsfKm0LjYOSDgFEqtflCd+P0fAeDyg6DgFH6l252kFkiVpHmFLFEhTBe3gw+WlWp9ZIyS8ns1vwEswqIgkEiIhmyLIubJrrX+iI76KWdNt9alfxxGzh/ESw2xqr79QsKZrFJuDlRLFF5AM4dkfzxbPu/Ht6rHVfrfP+6UxG0PL2Q1DdIRIpeoApq/l/356TSPLpDeDZQ4v9YOplBluXfRLp9KUSXu9f7ql9Qpkomw+inYdhvnB40psb7Yc1UqP812FHv4wDN5kj5U7O/Tz/hfaDq0+61uNF8OZVJYh08mUG7Any2DZEcBoPAmQQ39KfuNbsBNp0B8V0/cctnmRg4QZtKI+OrOY1gUPtyb4lYVQYlYh0ynShmx52MpmyMc/eUiO2fWrP4YC2E9jCuNbBLxRQMEhHphRP6ODtoZ7vNp993slQ6BLE5pcT9E8T6GJzxLtQnNJTOVb+gDmaZWKJPjICakr4rBzxmCOzbzX6OT7F64EA1kRaRgaj6891P+kplrHyHQLL+QpZ/6Vd3zPNjm7wlYsHREE6xn1E+WRYMugzGvwflJ3gfj2+DrVfAuv29Y+ijH3rHhOe6RCzRkG/hasBsSqV5dIeQGeDb0PV/20jHDWexTKzDoKuh6gL3WvtiJ0PIjuc/Mwi8fYNaX3I3UO+OmRUUGJ55iRh4M4Ni650G892JroM1U2DNZFi7T89Zbz1Jt3l0IrNstXVgN5FWMEhEpBf6MjvItm0uXwKrW93rny/fxDfKVnNieKdr/YNm+Mz7ELdt1rXZLM1hvyCAqRXuSV6JLs5x42iTZVlJs4MCOMGiVJhNpF9XmZiIDASBMhjydf/HQpOdpsnp8GsiHRzhTGBLh19mkO9I+X7UizC0G4x6HIbf7W3eDc4o8Q1Hw6azoX2Vs9b0L/c5gVqnJK2vlEyEQZcnfzytMrEkmUFmiZhV7kwTyzbLcjK0wrPd683/gJ3fcRp8J8pHMKj8WKcUqpPtzQxLpvGv7uPKs7ofwd6Tkil4Mv16KrXa9sWu7L32hbD9xszvb9sQyaB5dOe5miiWSMEgEZFe8ssOysVksT9shL9sdq8dMRg+W74Fy4KbqtYyy8iGeXQrfHuVNytocKj7TJ5MhAMWe/n0xJxSDof10RTWROeMgLE+/Ss/Mij1LCXz+7q6FTZF1ERaRAaA6s96JwdBeiViHfz6BqXTL6jzOUYQqn2lM0ksUaGXiPmxLKieC+MWQuXZ/uc0/R3WToPtX/fpAXNS7z7gZ2LI14wARYLelIl19Azy6xeUSilQJgLlMPJhCAx1r++4qatcrENfl4mBE5ytMPpgpdI3KNslYuAEcMN7ude6CwZF3oWmv7nXGu9OPbPJFFvrTLFL1JtgUPsiiA/ctG8Fg0REeskvO2hlK/wxi9lBS5ttrl7qXqsJwR+ndzU5LrdsHpoBQ40f2Ny8Cn5oTBg7YnB2+wV18AswXTym5/48uVASsLjG54eIx/UwRSzRXpVQafRYVKmYiAwIVokzGcuUTolYB7+JYun0C+pgZgY1PwJ2W+IJThZFfxUa4zQ1Hv1fb28WcH6tO7/jEwDrwxKxDsERUPMl/8fSyQzyKxOzbYiYk8Ry3By7ZAKM/Cs9fjzORXZSKiqNUrGWZ3oOYmS7RKxDOk2kd3zLu2a3Qf0vMru3WSIWqPEPWicTnoU7s8mGtjcz20sRUDBIRCQLTqiFg3PUOygStzlvETTF3Ot3ToXxZe4gy8Ryiwemu6dgAbzb5D7Odr+gDuZEsZAFF47yP7cvXDoGqo1gzolpBIOClsUBZqmYgkEiMlBUnQcleycshKDCp79NT0J7OKVMibKRGWRmbZQdCsGa9K9baMo/CmPnw7Dbvb9vHiWZfU+yYfB13vHs0LsyMbsZ7MbcThJLpvxoqL0l+ePBEU6WTj5UnIQ7iBHxlkiazJHylWdmJ4Ms1SbSfllBHepvzywjx9Mv6ID0ykL9epgN4FIxBYNERLIgWXbQ3Rt7f+2vr4Q3jV41l4yGs0b4/+N3TK3FLbt3f82jUuyZk66Thrr/YfnUCBgZzl/vhsEhi9sTpo2ePxIOHpzefg4ygnxvKBgkIgOFFYRR/3BGyYcmwLDboGSPnp/nuY7lLRXLpNzGzAwymaU0/ZkVcvryjF/qNDk2R6B3KD8KAoP8H8u1QLWnt1QkPsYpu0qV3/c0ugHajcygXDSP9jP4Wqg81/+xYB76BXUIDIbyY9xrdb+E9tX+57cvh8h891pvS8Q6lBiZQe3v+U8J88sK6hCvg/rfpn9vv2BQusxSsdaBO1FMwSARkSw53ic76IrFcO1Sm8ZoZhlCT2+3ucWYajqtAn62Z/fPu2YcfDpJf8/Boe4nbfXG3pUWd06DA6rhgpFw25Sen5Nr54+y2HAoLDgQ/jg9/cCUXxPpeDZGo4qI9Aclk2HsS7DbKmf6VaYGX9n1tVUKlRl8MDVLikzl/bBfUE+CtTDslzDuHf8SuEx+H7Np0OdcQYotkbnpPT9QCZbxD210JUSNIEdfZAaBE7gc/jv/iXT5aB6dqPJ093Hby7BmT9h6JUTXux/zLRE7Mjv7MDOD4nVOL59EfllBZo+pup8aZZ49sO3eTRLrfI4RmDavOYAoGCQikiV+2UFx4BdrYZ834Ilt6QUQVrbYfOZ991rYgvumQ6VZB+azl99Mhf18gj6H56hfUIeLRlu8foDFH6ZbVIcKY6LLyLDFjKrM9mJmBu2MwrIW/3NFRCSJipNh9AtQ+2MY+yaEM/hw390o+uBY/z47xSK8N4z6D4x8BMIzgSBUnuM0+s4nKwwj/8Xylt+xqP5+tkXPSf8aIaNUrPV/gPGeqaQPf7oUqNjVUNoo0cskKy6bKk4HwsZiu1NytWZ32HZdV3PlXJWIgZPVZwbwzCbSZlZQoAZGPuRei22Ahj+lft/oSogbY+wzyQwqO9R93NfN1wuIgkEiIll0fK1TGmVa3QonLYALF9ls7WYaVTRu88+tNqcusNnzVdgQcT/+/d1hdnVqQY3yoMVD+8Bwo6H00TkqEStW40phtPHeS32DREQyUH441PyfE9jIRHdlYhX9bKR8JiwLKj/uZAlNaoaRDzilfPkWKKMpdiAtsQwDNub3teU54/FxEMhRSnMyJZNgxF/AqnSOrar8B95CI2HYr8HyKcOzW6HuZ/DhJCdTKFclYuC8DrtrIu2XFTT4Oqg4DsqOcq/X3QK20RQzmfo73MeB4ZmV7pXsDoOu6Tqu+Vr61ygSCgaJiGSRZVn8YS/43mQo9fkb9k+bYPrrcN9GGzuh1OjDVpubVtpMehU+/i48ts3JKkp0Yi2+07G6s1uZxUMzugJCMyqdfkOSOsuyPNlBrykYJCLS9wJVYFX4P9YfR8r3hmVmiPRjZhNps6FvJllk2VBxLIx7F0Y8AOMXekeq58Ogz8L4FTDoC3izhHAacNff7l4LDMteiViH7ppI77jZuH8NDP6C83XN9e7H2hdD86M936/5P07gKFH5EZkHgIf9HMYvgQmbYNAlmV2jCCgYJCKSZSUBi+snWLxzoP/Urq3tcMH7cPIC+PMmJwto8ivw7VWwLknp9LhSuHsvCGTwj96hNRaLPwJvHQjzD4CqAind6k8ONLKh1URaRCRPfLODQv17pPxAZwaDaHcflvRR82g/JZOg6pzMGp7nSmgUDPsF7LYMqj8H9FDmlM0SsQ6ezKBdZWJtC6Dp7+7HBl/nNMAGKD9+13j3BDt/6N+AukN0I2y5wFgsgZob0t21cYk9nQlxA5iCQSIiOTKlwuKZWfDbqU7TZtMT2+H8Rf5ZQB2qg/C5MTDvgN5N5aopsdi3yiIUUCAoEx8xMoPeboS2uJpIi4j0Ob9gUNlh+ZuoJb3XU2Pwvmoe3d+ExsPwO5wMl6qLSDpxruqT2b+3mRnU/j7YUdjp0yuoIysInEyemq+4z2l7HVqf97+PHYctF3b1Quow9EdQOjujrUsXBYNERHIoYFlcMsZi0UFw1vDUn3dQNdw5FdYdAr+eajEij+PZBQ4wPmNEbHinMT97EREZ0PyaSBfTSPmByJMZZFAwqHslk2DE72H8+1B1PpDwnjE8M/slYuDNDLLboOmh7rOCOlR+AkKT3Gs7f+B/n7pboOUp91rFKe6eP5IxBYNERPrA6FKLB2dY/H2Gtxlxh0FBuHysU8r16gEWF4+xVNJVIAaHLKYZbSqe2JafvYiIDGh+WSQDrV9QsemuMThAOI9lYv1JyZ4w4k8w7j0Y/FUnEDPqn7mZlhUc5v2+bb3SfWxmBXWwQjD4S+61lieh7W33WuursP1G475jYPjdxd8svo8M3DlqvRSJRFi+fDlLly5l27ZttLW1UV1dzciRI5k1axbDhg3r9T2WLFnC4sWL2bRpE+FwmJEjRzJ79mxGjBjYtY0i/dkZwy0+WmNz/Qq4awPEbKcE6dIxcM6InkfGS/4cUQMfNHcd37Eerp9gE1bpnYhI3zEzg4LjoCTD6WRSGMzR8omscud7LKkLT4ehSTJtsnqfGdCyses4vtX9+OD/82YFdai+CHZ8E+JbutZ2/ghG3u98HdsJm88FoglPsmDEfU4gSrJCwaA0bN++nccff5znnnuOefPm0dzcnPTc/fbbj4svvphjj02/md3TTz/Nr371Kz744APPY8FgkDlz5nD99dez5557pn1tEcm/mhKLO6bCdybZRG0YVapgQn/wuTHw2/Vdxxsj8OBmOL+HH2iKiEgWlR3hPq46V1kC/V13ZWIlU8BSMUtBCu8DLU/7PxYYAoOvTv7cQLmTNbTj611rTX+B9u84JWRbL4PoKvdzar4O5Uf1dteSQMGgFC1ZsoTTTz+dWCyW0vnz589n/vz5nHzyyXzve9+jrKwsped961vf4r777kv6eCwW48UXX+Sss87iW9/6FqeffnpK1xWRwjNMfYD6ldnVFkcMtnmhrmvtF2vhvJE2lj6IiIj0jbKjoPYH0PgAhGfDkK/3+BQpcIFanI+lUe9j+ZwkJt0zm0gn8usVZBp05a5JYh1NGONQ9xNn2ljTg+5zyw7Xn/UcUDAoRW1tba5AkGVZTJs2jQMPPJCxY8dSXV3Ntm3beP3113nxxRexd43He+yxx2hsbOTXv/41wWCSDu+7/OpXv3IFgioqKjjttNOYOnUqbW1tzJs3j//+97/E43Ha2tq44YYbGDFiBIccckhuftEiIuJyzXhcwaB5DfByHRxak7ctiYgMLJYFNV91/pPiYAWc/jOxtd7H1Dy6cJXM8F/vKSuoQ3AIDLoM6n7atdbwe1wNsDuuN+K+3PQ+GuD0O5qm4cOHc84553DWWWcxZswYz+OXXXYZCxYs4JprrmH9eqee4Pnnn+cvf/kL5513XtLrvvPOO9x6662dx1OnTuXOO+9k5MiuuuiLLrqIefPmcfnll1NfX080GuVLX/oSTz31FJWVlVn8VYqIiJ/ThsHEMljV2rX2y7UKBomIiPRKaLR/MEjNowtXeDpO4MZ2r6eSFdR57rVQ9yug3Tm2W73nDL8bQuN7sVFJRgWYKaqsrOQrX/kKTz/9NFdffbVvIKjDzJkzueuuuygtLe1cu/POO7u9/s9+9rPOrysqKrjjjjtcgaAOBxxwAN/5znc6j7dt28a9996bzi9FREQyFLQsrhrrXvv7Fljdavs/QURERHqWbKKYMoMKV6ASQpONtRSzgjqExkHVp5M/PugqqPx4ZvuTHikYlKLJkydz8cUXp9z7Z/LkyZx55pmdx+vXr2fp0qW+5y5btoxXXnml8/jCCy/sNth0wgknsN9++3Ue/+lPfyIej6e0LxER6Z2Lx0BVQtVvHLjN54eZIiIikqJkTaRLpvTtPiQ9ZYe6j9PJCupQ82X/9fC+UHtLZvuSlCgYlEMf+chHXMdr1qzxPe/pp91d2M8+++wer514ztatW3nnnXcy2KGIiKRrcMhirvEDzN9tgKaYsoNEREQy4pcZFBwHgaq+34ukbsiNENrD+br8JBj8pfSvEd4LKozsH6sCRvwFAqklYkhmFAzKIbOPT0tLi+95zz//fOfXEyZMYPz4nmsiDz3UHYVNvIaIiOTW1ePc7Q13RuHejXnbjoiISP8W8skMCqtErOCV7Anj34cJ22D0Y5kHb2q/7QSAALBg2G/0/e8DCgbl0Nq17rqBoUOH+p6XWD42a9aslK49atQoRo3qiqAvWbIk/Q2KiEhG9qywONn4K/2XayFuKztIREQkbX5lYuoX1D9YIQjW9u4a4X1g7JtQ+1MY8xJUd9NHSLJGwaAceuaZZzq/LikpYe+99/acs2nTJhoaGjqPd9ttt5Svn3ju8uXLM9yliIhk4ppx7uPFzfCf7fnZi4iISL/mVyZWokliA0p4GtRcC2Vz8r2TAUPBoBz54IMPePnllzuPDzvsMKqrqz3nmdlDo0cnaZ7mI/Fc8zoiIpJbRw+BGe5qYH6hv4pFRETS51cmpswgkZxSMCgHotEoN954o2vC15VXXul7bmNjo+t48ODUu68PGjTIdc+2trY0dyoiIpmyLIsvGNlBT26H95tUKiYiIpKW4CiwEn/CYkF4Rt62IzIQKBiUAz/5yU949913O4/POecc9tlnH99zm5ubXcfhcDjl+5SWlrqOm5qa0tiliIj01vkjYWiJe+2Xyg4SERFJjxWGmq90HVdfBqEx+duPyAAQyvcGis0jjzzC73//+87jiRMncv311yc938zmKSkpSXKmlxk4ymdm0LJlywgECj+22N7e3vn/BQsW5Hk3Itmh13V+nREaye/aR3Qe/2F9nPNaPmBwIJbHXfV/el1LsdJrW4pRdl7Xp1MWmI5FhJbGvWGD/nxIfhXS39eJVUfZomBQFv3vf//jxhtv7Dyuqanhtttuo6KiIulzzOyejhdcKiKRSLfX6kuxWIxYrH998Enn91qkv9Druu+dGdzE3QwntmvYfCsBHmwezGdKN+V5Z8VDr2spVnptSzHqzeu6nUm7vopmZzMiWVKMf18rGJQlTo3PugAAcqJJREFU8+fP5+qrr+58kVRUVPDb3/6WPfbYo9vnmYEiM8DTHTMTqLKyMsmZuRcMBvtVZhCkl4UlUsj0us6vMcDxkToej9R0rj3YPpzPVG6nxMrbtvo9va6lWOm1LcVIr2spRoX0uo7H41lPvlAwKAsWLVrEZZddRktLC+CUb91+++3su+++PT63qqrKdVxXV5fyfRPPDYVCec0M2mOPPTy/lkK0YMEC2tvbKSkpYebMmfnejkhW6HWdfzfV2zz+ZtfxpniY5aP34ZMjFA3KlF7XUqz02pZipNe1FKNCel03NjayePHirF6z8FM5Ctzy5cu5+OKLaWhoAJygzM9//nPmzJmT0vPHjXOPotmwYUPK904817yOiIj0nYMGWcwZ5F77xZr87EVEREREpCcKBvXChx9+yNy5c9m+fTsAgUCAH/3oRxxzzDEpX2PkyJGujJrVq1endf8OkydPTvl5IiKSfdeMdx+/Ug+v12vMvIiIiIgUHgWDMrRhwwbmzp3L5s2bAbAsi29/+9ucfPLJaV9rypQpnV+/8847KT1n48aNbNrU1Zw08RoiItL3zhwG441q3TvW5WcvIiIiIiLdUTAoA1u3bmXu3LmsW9f1Lv+GG27g7LPPzuh6RxxxROfXq1evZs2anmsLXnzxRdfxkUcemdG9RUQkO0IBi8vHutce3AINUWUHiYiIiEhhUTAoTTt37uSiiy5i1apVnWvXXXcdF1xwQcbXPPbYY13Hf/vb33p8TuI5Q4cOZdasWRnfX0REsuMzoyCY0DO6KeYEhEREREREComCQWlobGzk0ksvZcmSJZ1rn//85/nc5z7Xq+vuueeeHHzwwZ3H9957L+vXr096/n/+8x/eeuutzuPzzz+/X4x1FxEpdqNLLU6qda/dnfpcABERERGRPqEIQora2tq44oorWLBgQefahRdeyLXXXpuV6ydep7m5mcsvv7yzH1GiefPmccMNN3QeDxkyhLlz52ZlDyIi0nsXjXYfv1QHi5tVKiYiIiIihSOU7w30F48//jivvfaaa+3ZZ5/lueeeS/kaxx9/PF/+8pd9H5s1axaf//znueOOOwD44IMPOPHEE/n4xz/OlClTaGtrY968eTzzzDPE43EAgsEgt9xyC5WVlZn9okREJOtOHgojSmBze9fa3RvgB7vnb08iIiIiIokUDEpRRwAmUSqNnhNt27at28e/+MUvsnPnTh544AEAmpqauP/++33PDYfD3HzzzRx++OFp7UFERHKrJGDx6VE2P034J+LejfCdSTahgJX8iXn0t802ly2GqA23TYELRhXmPkVEREQkO1QmVkAsy+Lmm2/m1ltvTToqPhAIcOihh/L3v/+dM888s493KCIiqfisUSq2MQKPb8/PXnrSHre5agnsjEJjDL6wFJpjKmsTERERKWbKDErRmWee2WfBl+OOO47jjjuOxYsXs3jxYjZv3kxJSQkjR45k9uzZjBw5sk/2ISIimZleaXHwIJtX67vW7t4Apw7L356SWdXqLmmri8LyFtinKn97EhEREZHcUjCogE2dOpWpU6fmexsiIpKBi0bjCgb9axtsitiMDBdWCdbKVu/aujYFg0RERESKmcrEREREcuCcEVCe8K9s1IY/bczffpJZ0eJdW9fW9/sQERERkb6jYJCIiEgODApZfGKEe+3uDWDbhdWPxy8YtFbBIBEREZGipmCQiIhIjlw0yn28qBler/c/N1+SlYmJiIiISPFSMEhERCRHjqiB3cvda78vsFIxlYmJiIiIDDwKBomIiOSIZVnMNbKDHtgETQUyut22bZYrGCQiIiIy4CgYJCIikkOfGQWJ88MaYvD3LXnbjsuOKNTHvOvqGSQiIiJS3BQMEhERyaFxZRYn1LrX7t6Qn72Y/ErEALZHoaVAspdEREREJPsUDBIREcmxi0a7j5/fCcua8x9s8Wse3UGlYiIiIiLFS8EgERGRHDttGAwtca/dUwCNpJNlBoGCQSIiIiLFTMEgERGRHCsNWJw/0r32h40Qs/ObHbSiu8ygSN/tQ0RERET6loJBIiIifcAsFVvXBk9tz89eOqzsJjNobTeBIhERERHp3xQMEhER6QP7VlnsX+1e+32eG0l3WyamzCARERGRoqVgkIiISB8xs4Me3QqbI/kpFYvGbVZ30xdIPYNEREREipeCQSIiIn3k3BFQmvAvb7sN01+Dry63WdXSt0GhNW3Q3fR4BYNEREREipeCQSIiIn1kSInFmcPca9ujcMuHsPurcPq7Nk9tt4n3QWPp7sbKA6xVMEhERESkaCkYJCIi0oeuHe//j68N/GMrnPAO7P06/HKtTV00d0Ehs19QieU+3hhxSslEREREpPgoGCQiItKHDhhk8exsOG5I8nMWN8MXl8K4l+G6pTbN3dVzZcgMBh1oNLeO2bCpPeu3FREREZECoGCQiIhIHzu8xuLJWRbvfwSuHgfVQf/zmmLw87XwtRXZ34NZJnbQIG92kPoGiYiIiBQnBYNERETyZGqFxS/2tFh7CNw2BaZX+J931wZoyHLJmJkZtEcFjCl1rykYJCIiIlKcFAwSERHJs+qQxeVjLd49CP47C84aDolJOk0xeGBzdu+5wsgMmlwGY8PuNTWRFhERESlOCgaJiIgUCMuyOGqIxYMzLE41po79bn327lMftdlm9AOaXA7jytxrygwSERERKU4KBomIiBSgS0a7j99ogLcbslMqZvYLsoAJZTDGyAxSMEhERESkOCkYJCIiUoBOrIVxRg+fOzdk59pmv6BxpVAasDz3UzBIREREpDgpGCQiIlKAQgGLi4zsoPs3kZUx82YwaNKu8rCxRjBIPYNEREREipOCQSIiIgXqs6PdjaTrovBgFhpJe5pHlzv/N4NB69rAtrM7xUxERERE8k/BIBERkQI1oczihFr32p1ZaCS90swM2hUMMsvEWuKwI9r7+4mIiIhIYVEwSEREpIBdOsZ9/HI9LGzqXbaOWSY2eVeZ2JhS77nqGyQiIiJSfBQMEhERKWCnDIWRxpSv3oyZj9s2q5KUiYUDFiNK3I8pGCQiIiJSfBQMEhERKWAlAYu5o9xrf9wIrRk2kl7fBhHjqR3BIFATaREREZGBQMEgERGRAneJUSq2PQoPbc3sWmbz6IoArmwgjZcXERERKX4KBomIiBS43cstjhniXsu0VMwzVr4cLKtrZpnZN0iZQSIiIiLFR8EgERGRfuCS0e7j53bCkub0S8WSNY/uYGYGrVcwSERERKToKBgkIiLSD5w+HIYazZ0zyQ5aaZSJTSp3H6tnkIiIiEjxUzBIRESkHygNWFxoNJL+w0aIxNPLDvJkBhnBIPUMEhERESl+CgaJiIj0E2ap2JZ2eDTNRtJmA2mzTMzMDNoehZYMJ5eJiIiISGFSMEhERKSf2KvS4vDB7rV0SsWaYzabIu41MzPIDAaBsoNEREREio2CQSIiIv2IOWb+qR2wsiW1zB2zXxDARCMzaFDIojroXlMwSERERKS4KBgkIiLSj5w9HGpC7rW7NqT2XLNf0KgwVAQtz3lqIi0iIiJS3BQMEhER6UfKgxbnj3Sv3b0Boik0ku5prHwHNZEWERERKW4KBomIiPQzlxmlYhsi8Ni2np/naR5d7n+eMoNEREREipuCQSIiIv3MPlUWHxnkXvtdCqViK43MoEkpBoPWR/zPExEREZH+ScEgERGRfsgcM//Edtgc6b5ULNUyMU9mkE/jaRERERHpvxQMEhER6YfOGQEVCf+Kx2z46+bk59u27ZkmlqxMzNMzSJlBIiIiIkVFwSAREZF+qCpk8fFh7rX7NiU/f1MEWuLutUkpZgZtaEutQbWIiIiI9A8KBomIiPRT5xlTxV6rh2XN/kEbs3l02IIxpb6neoJBcWBTe2Z7FBEREZHCo2CQiIhIP3V8LQwrca8lyw4y+wVNKoeAZfmeO7wESoyHNF5eREREpHgoGCQiItJPlQQsPjnCvXb/Jqc/kCnV5tHgBInMrCGNlxcREREpHgoGiYiI9GOfNkrFlrbAvAbveWbz6GRj5Tt4mkgrGCQiIiJSNBQMEhER6cc+Mgh2NwI7f/IpFUsnMwh8xssrGCQiIiJSNBQMEhER6ccsy+Jco1TsL5u807/MBtLJxsp3MINB6xUMEhERESkaCgaJiIj0c+ePch9vbodndnQdt8ZsTzCnpzKxsWH3sTKDRERERIqHgkEiIiL93NQKiwOq3WuJU8VWt4HZUnpSD2Vi44zH1TNIREREpHgoGCQiIlIEzjcaST+8FZpiTgjI7Bc0rAQGhfzHynfwywzym1ImIiIiIv2PgkEiIiJF4JwR7n/Um2Lw6Fbn63SbR4O3Z1BrHHZEe7VFERERESkQCgaJiIgUgVGlFscOca/dv9H5f7rNowHGlHrX1DdIREREpDgoGCQiIlIkzEbST+6ALRGblUZmUE/NowHCAYsRJe419Q0SERERKQ4KBomIiBSJ04dBecK/7DEb/rI5szIxgHFGdpCCQSIiIiLFQcEgERGRIlEdsjh9mHvt/k2w0igTSyUzCLx9g1QmJiIiIlIcFAwSEREpIucZU8VerYeGmHst1cwgMxikzCARERGR4qBgkIiISBE5vtYZHZ9MyPKWfyWjYJCIiIhIcVIwSEREpIiUBCw+OSL54xPKIBSwUrqWegaJiIiIFCcFg0RERIrM+SOTP5ZqiRioZ5CIiIhIsVIwSEREpMgcPCh50CfV5tHgDQbtiEJzzM58YyIiIiJSEBQMEhERKTKWZXkaSXdIJzPIr7eQSsVERERE+j8Fg0RERIrQ+aP819PJDKoOWVQH3WsKBomIiIj0fwoGiYiIFKGpFRYHVHvXJ6cRDAI1kRYREREpRgoGiYiIFCm/UrF0ysRATaRFREREipGCQSIiIkXqUyOgKqHMa3YVDClJbax8B2UGiYiIiBQfBYNERESK1KhSi/umO0GggwfBHVPTv8YYBYNEREREik4o3xsQERGR3Dl1mMWpwzJ/vjKDRERERIqPMoNEREQkKfUMEhERESk+CgaJiIhIUmYwaGMEonE7P5sRERERkaxQMEhERESSMsvE4jgBIRERERHpvxQMEhERkaSGlYA5gEx9g0RERET6NwWDREREJKmAZXlKxdYpM0hERESkX1MwSERERLqlJtIiIiIixUXBIBEREemWxsuLiIiIFBcFg0RERKRbYxQMEhERESkqCgaJiIhIt5QZJCIiIlJcFAwSERGRbqlnkIiIiEhxUTBIREREujU27D5e1wa2bednMyIiIiLSawoGiYiISLfGlbmPW+Pwl80QjSsgJCIiItIfKRgkIiIi3Rod9q6dtwgmvgI3r7RZ16agkIiIiEh/omCQiIiIdCscsNi3yru+PgI3r3KCQme/Z/P0dpu4ysdERERECp6CQSIiItKjX+0Jo3wyhABiNjy0BY5/B/Z6DX7yoc2LO52MIQWHRERERApPKN8bEBERkcJ3WI3F8oNtHtwCd6yDV+v9z1vaAl9e3nVcGoAJpTYTy2BiOUwqg0nlMKUc9q0Cy7L65hcgIiIiIp0UDEpTJBJhyZIlvPvuu53/LV++nFgs1nnO4sWL077uBRdcwOuvv5728775zW9y7rnnpv08ERGRdJUHLS4cBReOgrcbbH69Hu7fBE2x5M9pi8OSFuc/drgfmzMIntzXpiqkgJCIiIhIX1IwKA1nn302ixcvJhKJ5HsrIiIieTWr2uI3U+FHu9v8caOTLbSoOb1rvFIP31oFP9ojJ1sUERERkSQUDErDu+++2yf3GTx4MIMHD07p3Orq6hzvRkREJLnBIYurxsGVY23+Vwd3rYc3GmBVqzOCvie/WAuXjrHZs0LZQSIiIiJ9RcGgDFVVVTF9+nT22Wcf5s+fz1tvvZW1a19wwQVcffXVWbueiIhIrlmWxRE1cESNcxy3bTZFYGUrrGzZ9f9WWNUC/6uD6K6+0u02fGkZPDozXzsXERERGXgUDErDBRdcwIwZM9hnn32YPHlyZ9PL66+/PqvBIBERkf4uYFmMLoXRpXCIkez6lWU2P17TdfzPbfDkNpsThio7SERERKQvKBiUhhtvvDHfWxAREen3bpwI926Eze1da9ctg7eH2JQEFBASERERybVAvjcgIiIiA8ugkMX3dnevvd8Mv16fn/2IiIiIDDQKBomIiEifmzsK9jdmIHxzJWyN2PnZkIiIiMgAomCQiIiI9LmAZfFzY6T8zih8Y2V+9iMiIiIykKhnUAF68cUXefPNN1m6dCl1dXWUl5czZMgQ9tprL+bMmcMpp5xCVVVVvrcpIiLSK4fWWJw7wubPm7vWfrsePj9W2UEiIiIiuaTMoAL09ttv88orr7B161ba29upr69n9erVPPHEE9x0000cffTR3HPPPfnepoiISK/9YHcoT3g3EgeuXQq24kEiIiIiOaPMoAJVWlrK4MGDsSyLHTt2EIlEOh+rq6vj+9//PvPnz+enP/0poVD+v43Lli0jECj82GJ7e3vn/xcsWJDn3Yhkh17X0t/NLR3Br1tGdh4/uxP+U17J0SU79bqWoqO/s6UY6XUtxaiQXtfxeDzr18x/FEE6HXzwwZx44okcfPDBTJgwoTO4EovFWLhwIX/961956KGHiMViADz55JN8+9vf5uabb87ntgFnjx376i86/nCLFBO9rqU/Oi+0noetGjbapZ1rv2gdy6GhOkotW69rKVp6bUsx0utailExvq4VDCoQv/jFL6itrfV9LBgMMnPmTGbOnMlpp53G5ZdfTmNjIwAPPPAAp512Gvvvv39fbtd3j/0pMwigpKQkjzsRyR69rqW/KwGurdzEVxt361xbb5dyf2QEF5Vu0utaior+zpZipNe1FKNCel3H4/GsJ18oGFQgkgWCTAcddBA//OEPufLKKzvX7rjjDu68885cbS0le+yxR79oar1gwQLa29spKSlh5syZ+d6OSFbodS3FYB/b5l9vwf/qutbubhvFx8vrOW7m9PxtTCTL9He2FCO9rqUYFdLrurGxkcWLF2f1moWfyiEexx57LLNnz+48fvXVV2ltbc3jjkRERHrHsix+vidYCWstBPlV86i87UlERESkWCkY1E8de+yxnV9HIhEWLVqUx92IiIj03uxqi4tHu9f+FRnC5YtttrVrvJiIiIhItigY1E9NnDjRdbx9+/b8bERERCSLvjMZBgXda79ZD1NehdvW2kTjCgqJiIiI9JaCQf1UWVmZ61hlYiIiUgxGhC2+M9m7viMKVy+F/efBczsUEBIRERHpDQWD+qmtW7e6jocMGZKnnYiIiGTXlWPhuooNlOGdmvFuExz9Nnxqoc2aVgWFRERERDKhYFA/NX/+fNfx2LFj87QTERGR7LIsiwvLt/Jg1SJOCO/0Peevm2Haa/CdVTatMQWFRERERNKhYFA/VFdXx7///e/O4zFjxnh6CImIiPR3owLt/LB6Dc/OgpmV3sdb4vCNlTD5VfjSMpt3GhUUEhEREUmFgkEFoK2tLeVz4/E4X/va12hoaOhcO+2003KxLRERkYJw5BCLeQfArVNgSMj7+MYI/HQNzH4D9n3d5scf2qxv6zkw1Ba3mVdv85t1Nv+3zOb2dWpQLSIiIgODz1sq6WvnnHMOxxxzDGeddRZjxoxJet66dev4xje+wYsvvti5VltbyyWXXNIX2xQREcmbUMDiirFwzgibr6+A366HuM957zbBV5bD9cvhmCE2nx4FZwyDkgAsaIQ3G5z/5jfAe01gTqx/Yhs8NMMmFLD65NclIiIikg8KBqXh3nvv5Y9//KNnfdu2ba7j4447znPOqFGjfJ8LUF9fz6233sptt93G9OnTmTFjBhMnTqS6uhpwmkW/9dZbvPTSS0Sj0c7nlZaWctttt3WeJyIiUuyGlljcPhUuG2Nz3TJ4bqf/eXHgqR3Of58PQNT2Bn78/GubM7Xs9ik2lpV+QOjDVpsAMK5MwSQREREpXAoGpaGuro4PP/ywx/P8zonFvBNRTLZts3DhQhYuXNjjuWPHjuXHP/4x++23X4/nioiIFJtZ1Rb/nQ2Lmmz+uBHu2wRrk1Rdt/ilEHXjN+thYhl8dULqz2mP23xxGdyxDmzg6xNtbp6kgJCIiIgUJvUMKgDnn38+c+bMobLSpzumYcKECXz1q1/lH//4hwJBIiIy4E2vtPj+7har5sAzs2DuKKgKpneNKeVQarwj+n8r4P5NqfUPaojafPxd+PWuQBDAt1fBP7eq/5CIiIgUJmUGpeHqq6/m6quvzvp1L774Yi6++GJisRhLly5l9erVbN68maamJizLoqqqiuHDhzNz5kxGjRqV9fuLiIj0dwHL4qND4KND4NYpNo9uhT9thCe3u3sLTSmH/athv2rn/7OrYXDI4sHNNucYibmffR/Ghm2OHJI8w2dDm80pC+CtRu9jly2GdwfZDAsrQ0hEREQKi4JBBSQYDDJt2jSmTZuW762IiIj0WxVBi3NHwrkjYWObzVuNUB7oCvz4+cQIiw9bbb68vGstYsMZ78GL+9lMr/Q+7/0mm5MWwOpW/31sisAVS+Ave2fWf0hEREQkV1QmJiIiIkVrVKnFx4ZaHDXEShoI6nDdeLhqrHttZxROegfPqPoXdtocOj95IKjD37bAnzdnsnMRERGR3FEwSERERASwLIuf7QmnD3Ovf9gGpy5wegMBPLDJ5vi3nUBRot3L4YXZMLTEvX7VEljXlnr/INu2eWmnzf2b7M575tuaVptfr7N5pa4w9iMiIiK9o2CQiIiIyC5By+JP0+HgQe71txrhnIXwo9U25y1ySsgSfWQQvLwfHFZj8esp7sd2RuGSD5wgT09aYzYXfQCHvwWfXgSz34C1rfkNwGxsszlwHly5BA6dD3/brICQiIhIf6dgkIiIiEiCiqDFo/s4mT6JntgO16/wnv/xYc4ks+G7GkWfPcLivJHuc57c7oys786GNpuj34Z7N3atrWiFkxbAjvb8BWBuWweb27uOv7EytcCWiIiIFC4Fg0REREQMw8MW/54Jw0q6P++KsfC3GU4AKdGv9oQxYfe5X14Oy1v8gyhvNtgc9Ca8Wu997L0mOONdJ2uor9m2zV+NnkcfNMN8n+lpIiIi0n8oGCQiIiLiY88Ki3/sA2VJ3i39aHcn6BP0mRQ2pMTid8Zw0KYYzH0fYkZWzV822RwxH9a1Jd/LC3Vwgc9zc+3tRlja4l2/b6N3TURERPoPBYNEREREkjh4sMV90yEx3BO24M/T4Uu7Wd2OjD9xqMVlY9xrL9XBTz50vo7bNjeusDl3EbTE3edNLIPRRmbR37fANUv7tkTrL0kmoT2wue8DUyIiIpI9CgaJiIiIdOOM4RYPzoC9K2HOIKc/0Dkjux9T3+HHu8PkMvfaN1bCK3U2Z78H31vtfc6RNfD6/vDvfWFQ0P3Y7evgBx9m9MtIm1+JWIeNEfjvjr7Zh4iIiGSfgkEiIiIiPThzuMW7B1m8tL/FoTWpBYIAqkIW9+zlziyK2HDYfHhkq/f8y8bAk/vCsLDFvlUWD+/jZCIlumEF3LMh91k5r9fDqtbkj9+3KedbEBERkRxRMEhEREQkhw6rsfi/8e41M5QTtODWKXDHVItwoCv689EhFvcaZWoAly6Gf2/LbUAoWYlYh4e2QHMemlqLiIhI7ykYJCIiIpJj35rklJn5qQ052UBXjPXPOPrkCIuf7elei9nwyffg9frcBGPits2DW9xrF492v3FsjME/fbKbREREpPApGCQiIiKSY2VBi3v3gpAR75leAa8dAEcP6b707AvjLL68m3utOQ6nLIAlzdkPCL1U551u9sXxcMwQ95pKxURERPonBYNERERE+sDsaos7pjolYQBnDYeX94fdy1PrQfT9yXDBSPfa1nb42Duwoz27ASGzRGzvSti70uL8Ue71J7bD1ohKxaTv7Wi3+3SynohIsVEwSERERKSPfHa0xfpDYPnB8OAMi0FmqlA3ApbF76bB8UZ2zspW+H8rsrfHmG3zd6NE7JMjnP+fMQzKE949Rm34q3GuSC7FbJvT37UZ+iJMfQ3WtSkgJCKSCQWDRERERPrQ8LDFpBSzgUwlAWfM/f7V7vXfrodX67Lzofj5nbAp4l47Z1cwqDpk8fFh7sfu35iV24qk5MHN8I9dvaqWtcC1S/O7HxGR/krBIBEREZF+pDpk8fcZUGG8i7t8CUTjvQ8IPWD0AZpdBVMquoJX5xmlai/Xw4oWZWdI33ipzn38z23QENXrT0QkXQoGiYiIiPQzu5VZfHOSe+2dRvjVut5dtz1u81CSErEOJ9TC0BL32v1qJC195INm93FbHP61LT97ERHpzxQMEhEREemHrhkH+xjj6r+xEta0Zp4l8cwO2B51r5nBoJKA5Vm7fxNq5it94v0m79rfNnvXRESkewoGiYiIiPRDJQGLX091rzXF4NplmV/zr8aH6o8Mwre/0flGqdgHzTC/MfP7iqSiLmqzPuJdf3y7SsVERNKlYJCIiIhIP3XIYItLRrvXHtoC/9qa/gfjtrjNw1vda2YGUIc5g2BSmXvtPjWSlhz7wCcrCKBVpWIiImlTMEhERESkH/vB7jDM6OFz9VJojqUXEHpyO9QZJWKfGO5/rmVZnkbSD2x2xn6L5Mr7zckfU6mYiEh6FAwSERER6cdqSyx+vId7bXUrfHtVetcxS8QOGwzjyrwlYh3MUrGNEfjvjvTuKZKO7oJBj2+HRpWKiYikTMEgERERkX7ugpFwZI177SdrYGFTah+Om2M2/zBKxM5JUiLWYVqlxf7V7rX7NFVMcihZmRioVExEJF0KBomIiIj0c5ZlcfsUKElI5InacPliiKdQuvXvbdAY6zoOAGf3EAwCPKViD21JvzxNJFVmZlCJkbj2ty19txcRkf5OwSARERGRIrBXpcWXdnOvvVgHf0ihsbNZInZUDYwMJy8R6/CpEe43k40x+OfWpKeLZKw1ZrOixb12kdE8/d/bVComqbFtm79vtvnacpt59XrNyMCkYJCIiIhIkbhhgnfK11eWw9ZI8g87jVGbx4zymk+O9D/XNLrU4pgh7jWVikkuLG2BuLF2/W4QTIhZtsbxvJZF/Ny7ET6xEH7wIcyZD0ubFRCSgUfBIBEREZEiURG0+NUU99q2drhqKbzfZPtO+/rnNmhJ+JQdsuDMYanf8/xR7uMntncffBLJhFkiNq4UJpZbHFPjXlepmKTirg1dX8dsuF9BbBmAQvnegIiIiIhkz0lDLc4ebrs+FP91s/NfRQBmVtnMqoLZ1TCryvsh6NghMCyFErEOZwyDywNdAaWoDacsgENrbPaphBmVML3SCVSJZOp9o3n0XhXO/88eAf9JmGL3723QFLOp1OtNkojEbd5ocK+9201zcpFipWCQiIiISJH52Z5Ohk5iU2iA5ji8Wu/8l8wnU2gcnag6ZPHxYTYPJPQder3B+a+DBUwud4JDe1c6Y+uPq4WApQ/skpoPjMygaZXO/08fBpcvcbI7wAlKPrYt/dexDBxvNUCbUXP4bmN+9iKSTyoTExERESkyY0stvj85/eeFLefDdbo+Par7x21geQs8shW+uxo+tgCuW5b+fWTgSpYZNCxscXSN+7G/GQ3RRRK94hMMX9biZJSJDCQKBomIiIgUoSvGwt3T4KRaGB1O7TknDoUac153Cj5WCxf2EBAy/XItPLNdH76kZzHbZrExSawjGAROqViix7bpg70k90qdd80GFqpUTAYYBYNEREREipBlWXxmtMW/9rVYd6jFhkPh8ZnwvclOCc2e5e7zwxZ8bULm97pnL4slH4G/7A03TnB6Ce1Z7pSIJfO5xfrQLj1b1eot69mrsuvrM4a5p4q1xJ3eQSJ+Xk5SJqtSMRlo1DNIREREZAAYGbY4YSicMLRrrSFq804jrGuDgwbBpPLe9fDZo8Jijwr4REKmRnPM5v1meK8R/rsD/pjQsHpFK3xjJfxkj17dVoqcWSJWG4LhJV3Hw8IWH62xeTqhkfTfNrtfhyIAa1pt1rX5P7ZAmUEywCgzSERERGSAqg5ZHFZjcc5Iq9eBoGQqghb7VztZSnfvBYcOdj/+i//f3n3HR1Xl/x9/3zRSgSSQhN4JXUBsiLrfn6grsorIisqKoCKgYluxgSg2rFgAARsK4qqLLnZX0bUrEukgoQqEkpCEloT0+/tjzDD3ziSZlMmQzOv5ePAg58y5Z27CCXA/+ZzP2S39eoTsIFclJl8PV/Zj5btHObLRXHnaKpZH1hlsfvKwRawMmUEINGQGAQAAoE4EGYZe6Waq74rj235KJV2/SUoZYCosqHYCUllFpn457Dg1bWe+4xS1vJI/f5Ue//3Ynx+XSmrTSOoQLrWPkDqGSx0iHO2OEVKTkLo79WzKdlPP75bahZt6v7eUHMmJa/bMoG6R7mMubSbd5HKqWN6fW8XsQSIEtvK2iEmO4+VN03QLNAINFcEgAAAA1JnkSEP3tzM1dcfxvvW50uM7pWkdqj5fqWlqY67jhKCfDzt+T82r/Dq7TXnux5eXiQ0x1TnCcWraza3cs1Jqy7JsUzN2Oj7+PU+6aoMjSBboD6dumUEegkHNwwz9pampr1y3ih0gGASrXyrIDMoqkvYVSi0b1d39AP5EMAgAAAB1anJb6d8HpDUu2zIe3SldlmCqZ1TlgY8jxaZe2isty5aWH5UOF/vwZiUdLJZWHHX8KjGl29r45n3m7bW2V+VIyw5K58X55v3qA9M03TKDekR5HjuiuSzBoI8zHVvFIoMDO5gGh7wSU6sq2Qq2LodgEAIHNYMAAABQp0KDDL3azXoCVJEpjdtUeb2cbw6aOmmFdNc26YuDvg8E2d29zTc1jvYVmPow073/qV21/lb1yr5C6UiJta97OcGgS5tbH27ySqXPOFUMf0o5KhW7fOsGSeplW0sUkUYgITMIAAAAda5/jKE72piWYMcvR6TZadKtHjJvjpWYum+79Hyad/NHBEmnxEj9Y6SmIVJksONXRJAUGfRn+8/fS0zH8eXbjzl+3/Hnx2kFkj3sU2RKV2yQVg4w1TS09jJOXt9vfVAts+ygtPKoqf4xgZndYs8Kigxy1HfyJOHPrWJfHzret+SAdBlbxSDHNlJXJ0VLAxo7tqmWoYg0AgnBIAAAAPjFg+2l/xyQth473jdlu3RxM9NyutmKI6au+b38mj6S1C5cOqOxdEYTx+8nRTsykLw1yENfQampXfnS7D3SLJcg1B/50nWbpCW9aqeeT6lp6pW95b/+9C7prZ41fpt6yV4vqFukoxB5eUYkyBIM+qgBbhXbkOsokH5+nNQmvOF8Xr72s6149OlNpB62+lPryAxCAGGbGAAAAPwiItjQy8nWvrxSaUKqo1ZMUampadtNDVzpORB0dhPp3z2ltIHSjjMMvdXT0KTWhgY0NqoUCCpPoyBDXSINPdNJGtTE+tp/MqVZe2r8FpKkrw86spHK826GtONYYB6T7ulY+YoMb+Bbxb45aKr3r9K4VKl/irQ7PzDXRVWZpul2rPzAxlLvaGvfxlypqJSvKQIDwSAAAAD4zTmxhm5oae378qD0wA7pjN+kR3YePy68TKMg6ZnO0tf9pMsSDLVs5NvsiJAgQ2/1kOJDrf2TtzqylmrqZVtWUNcIKSr4eLtU0szdNX6bemmTF8fKu0oIM3ROU2vfwv21ekt+9ejO4x9nFUnPBOi6qKptx6TMImvfwCZSb1twscis3mmEQH1EMAgAAAB+9UQnqZWtDswjO6WVHup3DIiRVg6Qbm9jVLhdqLa1Dje0sLu1r6x+0KGi6geE0gtN/cdWOPrm1tK4Fta+1/ZJmYWBl7FQ1cwgyf04+Y+ypC+y6//XLqfY1PeHrH3vZlRedB3ST7YtYolhUvtwKTbUUGvb3z1sFUOgIBgEAAAAv2oSYujFrhWPCTGkB9pLP/aXuntx/LwvXBhv6K621r4d+dL1f25rq4439lkLR4cHSaMSHcfXh7h8msdKpTm1tC2tvjhUZGp/obWveyWZQZJ0ZYIUZ6uMOmmzowZUffbNIckeD9xfKH17yB93U7942iJWVu+rj/1EMYpII0AQDAIAAIDf/a2ZoSvLOfWpR6T088nSAx1qpxZQTTzcQTrTVj/o/QPVC9SYpqlX9ln7Lk9wZCu0DXf/esze4yiGHCjsWUEhhtQ5ovLrmoYaeryTtW/LMVlOrquPPs/23P9Wet3eR330iy0YdIbL97C9btB6MoMQIAgGAQAA4ITwXBepmUtdHkPSHW2klAHSySfI0eqhf9YPsmee3LlVSqli/aBvDllPUpOs28PutGUhZRVJC2zBo4bMHgzqHOH9CXHXtpBOb2zte2yntL0eF+L+bznBoPcP1P+sJ186Umy6bf06w2Vt2INBZAYhUBAMAgAAwAmheZihr/tKf4uXLmkmfdNPerqzofAT7FjwNuGG3rDVDyr8s37Q4WLvH8rthaN7RDqK2pbpHW3owjjrmJm7peI6fPDfV2Dqqg2mzllp6sPMug04/G57gPdmi1iZIMPQnK7Wh538UunWLdXf0udPW/NMbTvm+bVDxeUHiiAtPyK5/omHGtLJMcfb9m1iuwukgzWoAwbUFwSDAAAAcMLoFW3ogz6G/tPb0FlNT6wgkKuLmhm6s421b3u+NG6Td8GGg6XBev+Ate/6lsfrmJSZ7KFG0Xu263wlt8TU+WuktzOk7w9Lf18v/Z5bdw/Jm2yZQd28KB7tql+MoZtaW/s+yZI+zPQ8/kRWWbDnbbaKletn2xaxk2NkCTAnRzoCRK7YKoZAQDAIAAAAqIZHO1q3m0jSkgPSg39Ufu3HBbGWYsCNgqSrk9zHndNUOiXG2vfULt9nt5imqQmp0gaXh+Ii07HVqq7UJDOozEMdpKQwa9+tWxyBrvrEHgxqHGxtf5DpOG0M7n62nSRm3z4YGmS4rS22iiEQEAwCAAAAqiE0yNC/errXD3r4D+mJneU/mJum9F5+rKVvRHMp3p6eIEemkD07aGWO9PXB6t61d+btlRZ7yDb5V7q0Jc/3QYdjJaZ25Fv7vDlW3q5JiKGnO1v7dhVIj/5R7VurcwWlpv53yNr3UEcp2Hba3IdZdXpb9UKpaeoXWzBoYBP3cX3sdYPIDEIAIBgEAAAAVFPbcEOvd3fvv3e7NCvNc9BkVUm0/igNt/SNa1n+e1zaXOpkO0XLlydjrThi6vYtnl8rlTSjDrKDNh+z1nmRpG7VyAySHEfN/19Ta98zu6VNdbjlrSZ+PCzllhxvG5KuSpDOs8YT2Srmwe950uFia5+nYFAvW6BxPZlBCAAEgwAAAIAaGNrM0Nyu7v23bpFe3esecFhaFG9pJ0dKZ3l4QC0TbBj6p60+0RcHpdVHaz+YkVVk6u/rZdnCZrcoXdrh41O57FvE2jaSoqpZSNwwDM3u6jiavkyRKd28uXa225Wapj44YOrtdFN5Pth+9rkt42dAjNQszNAVibZx2Y4/Pxz3k61eULtwqWUj93Vkzwxal+v4cwUaMoJBAAAAQA2Nb2VoZmf3/htSpbfSjz9UHi4N1ldF1pSO61u4F462uyZJah5q7Xt6d7Vv16NS09TojY5tVK6uayFFuDw1lJjS4z7MTJLcj5WvzhYx6/XuAbWvDzmKY9dEqWnqig3SpeulqzZKvX+VfjhUu0EEe72gC/48YW5YMync5c+l2Ky74uL1hb14tL3GVxl7MCinRNqZ73ks0FAQDAIAAABqwW1tDD3SwdpnSrrmd+n9A44AwccFTVXo8l/wMMMR6KlMRLChSbaTsd7JkP6oxQydR3dKn9kCD2c3keZ2lcbbtrG9vk/ale+7zIlNtsyg6m4RczW1vSPDyNU/t0qHa1B4+f4djqLhZXbkS+esku7eZqqgtOZfn70FptbZvhZ//TOxrHGIoaHWJDO2itnYi0efUU4GXosw99pfFJFGQ0cwCAAAAKgl97U3dF87a1+JKV25Qfo0y9R7BXGW14Y3d2z58caNraRIW4bO1B21s53li2xTD+6w9iWGSf/qKYUEOYpYN3J57yJTetKH2UG1nRkkObaZPdfF2re/UHpgh+fxlXk73fRYP8mUo6bTaSnS2pya/dnYs4KahEinupwuZ98q9u0haU8B25skKbPQVKptHXmqFyQ5MvMoIo1AQzAIAAAAqEUPd5Bus2XxFJnSJeuk7SXWwtHXV1A42i4u1HAb/1a6I9CUX4NaNbvzTY3aaC3YHGxIb/eQWvxZX6VFI0PXt7Be9+o+aZ8PAg/FpaY224NBtZAZJEmXNJOGWONxmp0mrapi/aWVR01dt6niMWtzpVNSHCfLlVQzYGcPBp0X6wjOlRkSZz1m3pT0DtlBkuR2ilhEkNSngqBib1swiCLSaOgIBgEAAAC1yDAMPdPZfWuVPV7TOUL6S9OqzX17G2uGjiT9+4B0/hopuxrFgwtLTV2+QcoqsvY/2kE6J9aasXRXWynUpaug1Denmu3Idy9gXVvBIMMw9EJXa62dUkkXrZV+Oezd1y+90NSwdY7j3F2NaO7Y9ueqyHScLPd/q6TtVdzSV2Ka+rKcekFlwoMNDW9u7atpHaSGwr5F7NTGUmhQ+Vl4vW2BIjKD0NARDAIAAABqmWEYmtNVGl1BPaDrW0hBlRSOtmsXbuj1btaTsSTph8PSmSurfsrXnVul5baH5kuaSZPbuo9tE25ojC07aP5eKaOio8eqwb5FrFmo91vpvNExwtA9ts9vf6H0l1XS6/sq/lwKSk2NWC+l2Yps39BSereXoV8HeM4++eGw1HeF9Mpe0+sTzFYckQ7ajkW3B4Mk961iKUelLXlsFfO2eHQZ+zaxLXnSMR+cDgecKAgGAQAAAD4QZBh6JVm6PMH9tRCVugVWvDUy0dCnfaSYYGt/ap40cKWUcqTyB9htx0zdvsXU7D3W/k4R0oJu5Z9udm9bayDqWKn0TC2famY/Vr62soJc3dVW6mt7+C80pWs3SbdvMVXsofizaZq6abP0oy3IcFYT6YU/axH1iTa0fIBjfvtXMKfEcbrc2E3eHWn/uS0rqGeU1Drc/c/l/zWVEmwnzQV6dlBxqalfvSweXaZnlPXPrFTSxrzyRgP1H8EgAAAAwEdCggwt6i5d3MzaPzjsiBJqkO0yOM7Q9/2lVrbTsdILpf9b7ShWbVdcauqDA6YuXGOqyy/S82nW18ODpH/3lJqGln9f7SMM/cOWifLiHimrGlvUyrPJ9gDerRaKR9uFBxta1lcaHOv+2vNpjm1j9m13s/dIr+2zjm0XLi3pJYW5bD9qFGTo8U6Gvu0ndbSWiJIkLdwvLdhf+T2Wd6S8XUiQob/bAo7/Svcu4NRQrc2V8mzb+CrLDIoKNtQpwjYPdYPQgBEMAgAAAHwoNMjQOz2lW1pLMUaJBgQf0X1Reyq/sBJ9og393F/qZQuW5JY4ilW/vNcRDNhXYOrhP0x1/EW6dL17kKHMnK5S35jKA1T3tbM+ROSWSM/VYnaQPTOohw8ygyRHQe5P+0i3tnZ/7cuD0um/SRtzHV/Dr7JN3bHVOiYySFraW2peTlBvUFNDq06RW+FtybE9b38FxbezikytsGW2/LWcYJAkXWkL0G3Kk9YEcCDjJ1v2VtcI77Yaup0oFsBfQzR8BIMAAAAAH2sUZOi5Loa+i92ouVFb1TiotPKLvNA63JEh9H9Nrf0lpjQ+VTpnpal2PzuOT7fXuXE1rb00toV3mUqdIw1dZQs+zEqTDtVCdpBpmj45Vr48IUGGnu1i6LVu7sWftx6TzvhNmrfH1MgN7gXAX+8unRRd8dcsJsTQS90MvdnD2n+oWLp1S/nXLct2bFMqExEkDapgm9MZjR1ZSq7+FcBbxdzqBVWyRayMPbC6niLSaMAIBgEAAAB1pIr1or3SJMTQZydJoxLdX/v+sFRcToymaYgjK+b306QHO1Ttxu5rZ62vcqREeiGt3OFe21soHS2x9vmiZpDdmBaG/tdPSgqz9h8tkW7cLGXbCjlPbSeNSPD+a3ZVonsA7d8HpA8OeP7DsWdv/V9Tx9a28hiGoZG2rWJvp0ulAbpVzH6SmLfBIDKDEEgIBgEAAAD1XFiQoYXd5XZKlienxEivdpPSBkrPdjGUHFn1CFW3KMOtMPbzadKR8iJPXrJvEYsOllo38jy2tp3RxNCKAdKAmIrHDWsmPdih6vM/21mKtxV6vmmzdNj2NTNN071eUHzl89uDTbsL3LdLBYK9Bab+yLf2DaykXlAZ+0lwB4qk9Fo+LQ84URAMAgAAABoAwzD0WCdDc7u6/yc/Iki6toW0YoC0fIChsS0MRVaQaeKN+9pZ2weLHbWDPJ3E5S376U3dIss/2cwXWjVyFH72lGUlObYRvdHdcVJcVTUPMzSzs7Vvb6F0zzZr37pcaV+hta+iekFleke511cKxK1i9i1ijYOlHl5uNewY4agF5YrsIDRUBIMAAACABmR8K0Ofn+Q48vysJo6MlLSB0ivdDJ3sRYFob/WONnSp7ZS0B/+QIr6T2v9k6qyVpkZtMHXPNlNz0kx9lGlqXY6pkgq2LtXFsfKViQh2ZFk90cm6FS4uxFEwOiak+l/DfyRK59tOMJu/V/r+0PGvyedZ1tc7hEudbadceWIYhq6wBbGWZEhFNQjO1Uc/2baInd7Y++BdkGG41Q0iGISGKsTfNwAAAACgdg2OMzTYi2ySmpraXvpPprWvxJR2FTh+/ejhmjaNpAmtTF3fwv0krro4Vt4bhmFoclupf7SpGTulsCBHcKhjRM2CaYZhaG6yqd6/Wo8+vyFVWjXAVHiw4fFIeW+zo65MlKbtON4+UCR1Xy5dGG9qSLz0l6aOYNeJKLPQ1P8OObIVLmnmKO5dVUeLTf3blg3lbb2gMr2jpV+PHm9TRBoNFZlBAAAAAKqlX4yhS5pVPs7V7gJpynapzU/SmN9NrThyPHPlRMgMcnVunKFl/Qx9epKh3pWcHOatDhGGHu5o7UvNkx7ZKeUUm/rBts3pr17UCyrTKcLQqbaaR9vzpTl7pIvWSvE/SBetMTU7zdS2Y/7PGNpXYOrFPaYGrzKV9KM0coP09w3SX9dIhdXIaJqy3f3UvP8X63lseXpTRBoBgswgAAAAANX2UrIjG+jLg1JBaeXjyxSa0sL9jl+nxpi6poWUUWQd48tj5f3pltaO075WuGSgPLnLUdupyCUGEmo4ThKrinEtpV9TPb+WXyp9lu34pS1SlwhT17eUbmsthVYjE6c6duWbeu+A9P4BR4FrTyGfrw9JD+yQZnTyft7lh03N2WPtGxwrDapiZpC9iPTGPEcdrOpkKsGhuNRUWoHUNrx69bbgGwSDAAAAAFRb8zBDH/ZxnIKVWfTnFrF8x6/dBdLu/ON99sLIZX49at2aIzkCIZ3CfX///hBsGHq5m6kBKVLZYWLFpnT/Duu4M5tUvUbR2BaOwtTz9pT/9S6z5Zh09zZp5VHpzR6mgn30oF5Yamp2mvROhjUAVpEnd0nnxZn6f7GV31NRqakbUq2BpfAgaW5y1QuQ2zODCkodX6eGGpj0te3HTA1ZI20+5ijA/k0/U3Gh1VtnSzJMLdjn+LO4q62UEEZgqSYIBgEAAACoMcMw1DxMah4mnVzO8ewrjjiyN95Od2QGVaRLRPXqxtQXfaIN3dXW1GM7yx9zQTXqPgUZhu5vL01tZ2ptrvRplvRZliMLp7zErXcypKYh0otdzVo/vS2/xNS5q6Wfj1Q61MKUNHqjtPoUU80qeeh/erfjFDZXD7R3bJurqvhQQy3DTO11CaStzalZMCivxNSX2VKXSKlHVMNd03b5JaZGrHcEgiRH/aUHd0gvdK36XL8cNnXFBsca/ixbenO/9Fp3U0PiA+frWduoGQQAAACgTpzS2NDr3Q3tHig92tFRTLo8gZCJMbWd1LWCk8KqUi/IzjAMnRRt6N52hr7rb+jAIOntntI1SVJCqPv4+XvdM5Nqw73bKw4ExQRLVyVK7/VyrAlXewulcamOrLPybMkz9dAf1r6ToqU72lT/nvvYsoPsgaaqWJ9jqtty6dL10kkrpNf3+b9WU12ZvE1abau59Pp+6XBx1b8GT+yyBjMziqSha6WbN5s6VhI4X9PaRDAIAAAAQJ1qHuYIUmw7XVrSy3NdnKE1CITUF+HBhl7q5vm1pDD3+jU1ERtq6PIEQwu6G9p7pvSfXo6teK4e2ynN3FV7D9b/zTL1fJqHewmRxiRJH/WWMgZJb/YwdGlzQ3e3lc63FXz+INMRqPLENE1NTLXWqgqSo45VTWog2Y+XX1fNItIrjpj6y6rjRa1LTGniZmldTsMPXrx/wL2GkyTllEgL9lVtrq15pj7M9Pzai3ukASnSqqMN/2ta2wgGAQAAAPCLkCBDw5sb+qqfoXWnSje1ks5uIk3vII1K9Pfd1Y2zmxq6oaV7f1WOlK+qIMPQJc0NLe7h/kB45zZpQS1krxwoNDV2k7WvUZD0QW9p/5nSa90NXdTMUCOXoE2QYej17lJzW+bSHVulDbnu9/TGfkexaVeTWjsy0GrCnhm0thqZQd8cdGyPyy629heUSlducGwda6h2HDN13abyX5+dJpVUkO1l90Ka50LjZX7Pk07/TXpyp6nSKswb6AgGAQAAAPC7nlGGZnU19E1/Q/e3Nxp0vSC7JzpJLcKsfRfVQWbUiARD85Ld+8dtkpYeqP5DtWmaun6TtN9WwPqpTtLfmhkVZu0kNTK0oLu1L79UumqDowZNmYxCU3dutY5r20h6uEO1b9vJHgzamV+1rU2fZpkastaRBePJxjzpn1s9v1YX8kpMPb/b1LTtpnbl127wpLDU1JUbpMPF5Y/Zni99kuXdfIeKTC3Yb+07s4nj5D1XRaZ0z3Zp8Gppdy1/Tg0VwSAAAAAA8KMmIYbe6eko4iw5AkHDm9fNe1/f0tDjtlo9pZKu2CD972D1Hqrn7ZU+sj3sD4lzZH55Y0i8oUmtrX3rcqW7tx9v37HVPevmxWQpuoqnr3nSLVKyT7Pey61i76SbGrbOEcByZd+SN3+vYytVXTtQ6Ni6dvtW6ZGdUt8V0neHau8+pmx3PxnwygSpny3A9sJu7+Z7ZZ+U6xJUC5L0Zg/ptwFS/2j38d8cctRmeiedgFBlCAYBAAAAgJ8NamoobaC0/XTpoz6Ggny0RcyTu9oZuqutta/QlC5ZJ6UcqdpD9e+5plvWS0Ko9Gr3qm17e6Kj1NtWu2dWmvRJpqnPsky9lW59bWSCau1kqbAgQ90irX1jNznqKWUVlf/1eGWvqas2SvYkokubSSsGSJG2p+/rN6nWM3Mqsivf1NmrpBSXYM2hYumCNbUTmPok09QztiBP5whpXrJ0iy249/WhymsnFZeammWrOXVZc6lduKFuUYZ+Olm6u61k/1M/VCxduVGatNlUcSlBofIQDAIAAACAE0BksKH21TgOvTbM6Chd38Lal1MiXbjWEeDxRqFp6KqN7lkxr3WXEis5Ht4uPNjQv3pK4bYn1rGbpImp1r6mIdJzXao0faXsW8W2HnPUU2r9k3TNRlM/HjItp5w9u9vUDanutW1GJ0nv9JT6RBtuR6ofKpau3li1+jnV9XuuqUErpdQ899cKSqW/r5fmpFX/PtLyTY2x1QkKMxyfe0yIoSsS3U+xe8FDcXFX7x2QdhdY+253OSUuLMjQjE6Gvu7r2CJoN2eP48SxQxUE8AIZwSAAAAAACHCGYWhusjTCtj0tq8iROfJxZuXFeWfnJWqNbTvVza2qn7HTI8rQzM7WvswiaZctQPBUp6oHmyrz93K26RWUSovSpbNWObYjzUkzdf9292woSbqxlfRaNznrX41Nki5PsI75/rD06B+1eutufj3iyAhKKyh/jClp0hZpynZrkMsbxaWmRm10rBVXz3SW+sU4PvdGQYbG27YJLk6XMgvLf6/nbMGi0xtLpzdx/3M+J9bQ6lOkqzwUnf/ioDRwpeNEMlgRDAIAAAAAKNgwtKiHdJ7tePe0AunidVKfXx0njRV42HqzvDhGC/OtEZReUY7i2DUxvqV0SbPyX/9LU+naFuW/Xl2XNDf0Zg+pe2T5Y9bnOgIoj+50f+3edtKsLrJs9zMMQ/O6Su3CrWMf+kP6oRbr9rhalu041cweqOkRKY1Jch8/Y6d03SapqArbq6b/4QhquRre3BEMczWxpbV2Un6p9HI5x8z/fNjU8iPWvtvaeB4rSU1DDb3Zw3EaXSNblGPTn6eNfVvNGlgNFcEgAAAAAIAkRwbHe72k0xq7v7YxzxEo6PSz9NQu03nC1sHSYD14rJ1tHmlxDykiuGYZO4Zh6OVkqWWY+2uNghz1aKpSi6gqrko0tP5U6Zt+jiLI3iYfPd5RerSj4fG+moYaWtxDcv2ylEoatVE6WMvbmf6dYeqitdYCzJLjz/bb/tKr3aTpHk5fe32/NGydlFtS+f0syzb1mC0Y1j5cesXDn0tSI0MjbZlRL+7xHHh6zlZ7qG0jaXgFQcEyo5Mc28bsW9Kyi6Xz10iv7iUgVIZgEAAAAADAKTrE0Cd9pAExnl/fWyjdvU1q+5M0eaupaTmtlWlaozWPd5R6R9dOkKZZmKGFPdwLBU9tJ3WN9G2NJcMwdHZTQ4t7Gto90JHp1CminLGS5nR1FOSuyMAmhh5sb+3bXSBHzaFaqh80b4+pKzY4jlx3dX6s9OVJUnyoI1h1f3tDLyW7BwY+y5b+3yrH6WNlikpN/Z5r6v0Dph75w9Q/NpoaucFaJynEkP7VwxH08sReSHpPgfT+AWvfznxT79n6bm59fLtdZc5oYmj5AKmPrQB5kSmNS5Xu3GrWSZ2mE12Iv28A5du8ebNSU1OVnp6usLAwJSYmql+/fkpISKj8YgAAAACoprhQQz/2N/WvDOmpXdKGXPcxR0v05+lR1jSiC+LkdjR8Tf2/WENPdDJ19zZH8OGvcdLktpVeVquahxma3Fb6ZxtTXx2UXtorLc2USkxHoeuXk6VRSd4FLO5pJ3110HEUepn3DjiOUh/XUsorMZVd5MhoySqS8+PsIsdpZeFBjsyo8CD3j78/5Dg23m5kgvRGd0fhZVfXtzSUGOYIHh1zKf694qij3s5J0aZ+z5W2HHM/Kc1uRkfpNA91fcoMaGxoYGNTP7lsAXshTRrpUu9nVpojW6pMVLB7cfPKtAs39EN/U//4Xfow0/razN3S5jxpcQ9TMSH+Kdh+IiAYVEWFhYXavHmz1q1b5/y1bds2lZQcz71LTU2tYIbKLVu2TLNmzdKmTZvcXgsODtYZZ5yhe+65R1261HLJfAAAAAD4U2iQodFJ0tWJpj7Llp7eZQ1eeNIsVFrQzVorp7bc2dbQhfGmDhZJZzRx1DjyhyDD0Hlx0nlx0v4CU2tyHKePtWjk/f0EG4YWdjfVd4UjyFPmxs3SrVtMtxPZampiK+mFLuV/zf7WzNBXfU0NXWu9n23HHL+8cVG89bSv8tzSRvppw/H2z0ekFUdMndLY0NFiU6/stY4fm1R+plFFokMMvdfL1L3bpKdt284+zpLOXCl9dpKpVlX4c2tICAZVwYgRI5SamqrCwkKfvcdDDz2kxYsXl/t6SUmJfvjhB1122WV66KGHNGzYMJ/dCwAAAAAYhqEh8dKQeMfJVE/vcmzt8RSveK2bozaMr/SMOrEe3JMaGUrycKy5N1qHG3q1m6lL1x/vKzEdv2rT/e2lB9tXXlvp9CaObJoL10o786v2Hj2jvA8CXtpMat3IerrZC2nSoh7Sa/ukIy41jgxJt3oRYCpPsGHoyc5S9yhTE1Kt2+bW50rjN0kfn1T9+eszgkFVsG7dOp/OP2vWLEsgKDIyUhdffLGSk5NVUFCglJQUff311yotLVVBQYGmTJmihIQEDRw40Kf3BQAAAACSdGpjQ+/2chzVPXO3o9hwWRbL6PADGtqMkhZVcUlzQze2MvXiHt/M/3wXaVJr7wNo3aIc2wMvWiutyfE8JinMccpa9yjH7z2jpDObODLJvBEa5Pic79t+vO/dDGlGR1Mv2I6Tv7iZ1Cmi5gHAsS0MdY4wNXy99WS1dR62PwYKgkHVFB0drR49eqh3795auXKlVq1aVaP51qxZo9mzZzvbycnJevnll5WYeHzz5NixY5WSkqKJEyfqyJEjKi4u1p133qkvv/xSUVFRnqYFAAAAgFrXOdLQi8nS9A6mXlqzW01K83VWeL4kgkFV9VQnaX2O9N1h99cMSbEhUnyoFBcqxYVIoUFSQakjCGf/vexXQpj0aEdpePOqB1JaNjL0bT9TT+xy1NZpF+4I+vSIkrpFSrHV2LJlN66l9PAfx2sUFZnSiPXSDltG0m21WHvqrKaGlp9s6uK1jpPxJGlUYsXXNGQEg6rg6quvVq9evdS7d2917NjRmWZ3zz331DgY9Oyzzzo/joyM1Lx58yyBoDIDBgzQI488oltuuUWSlJWVpYULF2rixIk1en8AAAAAqKrmYYb+1uiQioqKZBihlV8ANxHBhr7oa2r5ESmn5M/AT4gj+NM0xDf1lyrTOMTQox19N398qKFRiaZe2Xe879ej1jH9oqWzm9bu+3aMMLTqFFOfZ0tNQqRBTWp3/vqEYFAVTJ061Sfzbt26VT///LOzPXr0aLVs2bLc8RdccIH69++vlStXSpLefPNNjR8/XkFB9gMBAQAAAAAnurAgQ2c19fdd1K1bWssSDLK7rU3ldY6qIzTI0N+a1fq09Q7RgxPAsmXLLO0RI0ZUeo3rmMzMTK1Zs6bW7wsAAAAAAF/oFW3o3FjPr7UIk0ay49CnCAadAL799lvnx+3atVObNpWXSz/zzDPLnQMAAAAAgBPdLeXUBLqplSNbCr5DMOgEsGXLFufHffv29eqapKQkJSUlOdubN2+u7dsCAAAAAMBnLoqXOkVY+yKCpPGt/HM/gYRgkJ+lp6fr6NHjlbLatm3r9bWuY7dt21ar9wUAAAAAgC8FGYbbiWFjWjgKTMO3KCDtZ2lpaZZ2ixYtvL7Wdax9HgAAAAAATnQTW0m/50lLMqRBTaUnO/n7jgIDwSA/y8nJsbSbNPH+bLvGjRs7Py4uLlZBQYEaNWpUa/cGAAAAAIAvBRmGZneVZnf1950EFoJBfpaXl2dph4WFeX2tPfCTm5vrt2DQ1q1b68XR9kVFRc7f165d6+e7AWoH6xoNEesaDRVrGw0R6xoN0Ym0rktLS2t9ToJBflZQUGBph4aGen2tPXBkn6sulZSUqKSkxG/vXx1l39xAQ8K6RkPEukZDxdpGQ8S6RkPUENc1wSA/s2fyVGWRFRYWVjhXXQoODq5XmUFS1QJvwImMdY2GiHWNhoq1jYaIdY2G6ERa16WlpbWefEEwyM8iIyMtbXuApyL2TKCoqKhauafq6Ny5s6Kjo/32/t5au3atioqKFBoaqj59+vj7doBawbpGQ8S6RkPF2kZDxLpGQ3QireucnBylpqbW6pwnfipHA2cPoBw+fNjra13HhoSEUDwaAAAAAABUimCQn7Vu3drS3rdvn9fXuo61zwMAAAAAAOAJwSA/S0xMtGQH7dy50+trd+3a5fy4Y8eOtXpfAAAAAACgYSIYdALo2rWr8+M1a9Z4dc3+/fuVnp7ucQ4AAAAAAIDyEAw6AZx99tnOj3fu3Kndu3dXes0PP/xgaZ9zzjm1fl8AAAAAAKDhIRh0Ahg8eLClvWTJkkqvcR0THx+vvn371vZtAQAAAACABohg0AmgS5cuOv30053thQsXau/eveWO/+KLL7Rq1Spne9SoUQoK4o8SAAAAAABUjgjCCeL22293fpyXl6eJEycqIyPDbVxKSoqmTJnibMfGxmrMmDF1cYsAAAAAAKABCPH3DdQnCxcu1KJFi9z6s7KyLO3zzjvPbUxSUpLHa8v07dtXEyZM0Lx58yRJmzZt0l//+lddcskl6tq1qwoKCpSSkqKvvvpKpaWlkqTg4GA99dRTioqKqsmnBQAAAAAAAgjBoCo4fPiw5Tj38ngaU1JSUul1t912mw4dOqS3335bkpSbm6u33nrL49iwsDBNnz5dZ511VqXzAgAAAAAAlGGb2AnEMAxNnz5ds2fPLveo+KCgIJ155pl67733NHz48Dq+QwAAAAAAUN+RGVQFkyZN0qRJk3z+Puedd57OO+88paamKjU1VRkZGQoNDVViYqL69eunxMREn98DAAAAAABomAgGncCSk5OVnJzs79sAAAAAAAANCNvEAAAAAAAAAgjBIAAAAAAAgABCMAgAAAAAACCAEAwCAAAAAAAIIASDAAAAAAAAAgjBIAAAAAAAgABCMAgAAAAAACCAEAwCAAAAAAAIIASDAAAAAAAAAgjBIAAAAAAAgABCMAgAAAAAACCAEAwCAAAAAAAIICH+vgHUTyUlJZZ2Xl6en+6kakpLS52/5+Tk+PlugNrBukZDxLpGQ8XaRkPEukZDdCKta/vztv15vDoM0zTNGs+CgJORkaHdu3f7+zYAAAAAAAgobdq0UUJCQo3mYJsYAAAAAABAACEYBAAAAAAAEECoGYRqadq0qaXdqFEjBQcH++dmAAAAAABooEpKSlRQUOBs25/Hq4OaQQAAAAAAAAGEbWIAAAAAAAABhGAQAAAAAABAACEYBAAAAAAAEEAIBgEAAAAAAAQQgkEAAAAAAAABhGAQAAAAAABAACEYBAAAAAAAEEAIBgEAAAAAAAQQgkEAAAAAAAABhGAQAAAAAABAACEYBAAAAAAAEEAIBgEAAAAAAAQQgkEAAAAAAAABhGAQAAAAAABAACEYBAAAAAAAEEAIBgEAAAAAAAQQgkEAAAAAAAABhGAQAAAAAABAACEYBAAAAAAAEEAIBgEAAAAAAAQQgkEAAAAAAAABhGAQAAAAAABAAAnx9w0AdaG0tFQrV67Url27lJmZqcaNG6tFixY65ZRTFBkZ6e/bA1RYWKht27Zpy5YtysrKUkFBgWJiYpSYmKi+ffuqWbNmNX6PzZs3KzU1Venp6QoLC1NiYqL69eunhISEWvgMAP9gXcPfcnNztXLlSqWnpys7O1tRUVGKj49Xy5Yt1a1bN4WFhVV5TtY1/CU9PV3r1q3T/v37dfToUTVq1EixsbHq1q2bunTpopCQ6j8+sq5RX/hyrWZkZGjVqlVKT09XYWGhEhMTnd9fdY1gEBq0kpISvfrqq1q0aJEyMjLcXo+MjNRFF12kyZMnq0mTJn64QwSy7OxsffbZZ/rmm2+UkpKivLy8csf2799f1113nQYPHlzl91m2bJlmzZqlTZs2ub0WHBysM844Q/fcc49f/hFCYHr33Xd1//33W/puvvlmTZo0yes5WNfwt99//11z5szRd999p4KCAo9jwsLCdNppp2natGlq27ZtpXOyruEvy5Yt0yuvvKJVq1aVOyYuLk4jRozQ+PHjFR0dXaW5WdeoqcLCQm3evFnr1q1z/tq2bZtKSkqcY1JTU2v0Hr5cq1u2bNHjjz+un3/+2XLPZbp166ZJkyZV6//61WWYpmnW2bsBdejIkSMaP368Vq5cWenYpKQkzZ07Vz169KiDOwMcP3EYNmyYx38MKnLRRRfpscceU3h4uFfjH3roIS1evLjScY0aNdJDDz2kYcOGVel+gKrKzMzUkCFDdPjwYUt/VYJBrGv4U0lJiWbOnKkFCxZ4/Xf4ggULNHDgwArHsK7hD8XFxbr33nv14Ycfen1NUlKS5s+fr27dulU6lnWN2jBixAilpqaqsLCwwnE1CQb5cq0uXbpU06ZNK/cHB65GjRqladOmeT13TZAZhAapuLhYt956qyUQ1LJlS1188cVq1aqVsrOztWzZMq1bt06StH//fo0fP15LlixRYmKiv24bAaSgoMDyEGEYhrp166ZTTjlFrVq1UkxMjLKysvTrr7/qhx9+UFnc/pNPPlFOTo7mzp2r4ODgCt9j1qxZln/UIiMjdfHFFys5OVkFBQVKSUnR119/rdLSUhUUFGjKlClKSEio9IEFqInHHnvMLRBUFaxr+FNpaanuvfdeffDBB86+sLAwDRw4UP369VN8fLyKi4u1f/9+rVu3TitWrKj04UViXcN/pk2bZgkEBQUF6ayzztKAAQMUHx+v/Px8paam6vPPP3f+3b1//36NHTtWH374oZo3b17u3Kxr1JayZzZf8eVa/emnnzRlyhQVFxdLcnyPDR48WCeffLJCQ0OVmpqqjz76yLlDYPHixYqLi9PNN9/sm0/WBZlBaJBefvllPf3008720KFDNWPGDLd9+wsXLtRjjz3mfNA+55xz9NJLL9XpvSIwrVu3TiNGjFDz5s01cuRIXXbZZWrZsqXHsWvXrtWtt96qvXv3OvseeOABXXXVVeXOv2bNGl1++eXOdnJysl5++WW3YGdKSoomTpyoI0eOSJLi4+P15ZdfKioqqiafHuDRd999p3HjxkmSOnbsqO3btztf8yYziHUNf3vyySf16quvOtuDBw/WtGnTyv1BUm5urj755BOddNJJSk5O9jiGdQ1/Wb16tUaOHOlsx8XFaf78+erTp4/b2CNHjujOO+/Ut99+6+y77LLL9Nhjj3mcm3WN2uT692d0dLR69Oih3r17a+XKlZatjdXJDPLlWs3NzdV5552nrKwsSVLjxo01d+5cDRgwwDIuPT1d119/vTZv3izJ8UPid9991+P3Ym3iNDE0ODk5OXrllVec7R49euiJJ57wWMBx9OjRGjVqlLP97bff6rfffquT+0Rgi4qK0l133aVly5Zp0qRJ5QaCJKlPnz569dVX1ahRI2ffyy+/XOH8zz77rPPjyMhIzZs3z+PDyoABA/TII48421lZWVq4cGFVPhXAK8eOHdODDz4oSQoNDdV9991X5TlY1/CndevW6fXXX3e2hw0bptmzZ1eYURwVFaXLL7+83ECQxLqG/yxdutTSnjFjRrkPn40bN9bzzz+vpKQkZ9/nn39ebuYb6xq16eqrr9YTTzyhTz/9VCkpKVq0aJHuuusutW/fvsZz+3KtvvHGG85AkCQ9+uijboEgSUpMTNS8efOcBxuZpmm5L18hGIQG54MPPtChQ4ec7cmTJ1d48sFtt92miIgIZ5t/gFAXOnbsqOuuu87r2j8dO3bU8OHDne29e/dqy5YtHsdu3bpVP//8s7M9evToCoNNF1xwgfr37+9sv/nmmyotLfXqvgBvvfDCC9qzZ48kady4cerQoUOVrmddw98efvhh5/beNm3aaPr06TIMo0Zzsq7hTxs2bHB+3Lx5c/3lL3+pcHxERIQuuugiZzs3N1e7d+92G8e6Rm2bOnWqhg0bpk6dOtX4711XvlyrpaWllq1n/fv31/nnn1/u3K1atdLo0aOd7Z9++klbt2716vOoLoJBaHC++uor58etWrXSGWecUeH4mJgYXXDBBc72999/79X+fqCunXbaaZa2p/+ASY6TEFyNGDGi0rldx2RmZmrNmjXVuEPAs99//90ZaG/Tpo0mTJhQ5TlY1/CnjRs3WtbPpEmTvA7mV4R1DX9yrd/WunVrr66xn4rnqQYc6xr1hS/X6urVq5WZmels//3vf6/S3JL1udYXCAahQcnPz9evv/7qbA8cONCr6LFr8a/c3Fy2iuGEZN+TfOzYMY/jXPfzt2vXTm3atKl07jPPPLPcOYCaKC0t1f333+8snDht2jTLlkdvsa7hT0uWLHF+HB0dbfkhUk2wruFPMTExzo/LitdWxv5/j9jYWLcxrGvUF75cq/Z++3WetGnTxhJw9fX3AcEgNCjbt29XUVGRs923b1+vruvXr5+lXZNjCQFfSUtLs7Tj4+M9jnPdPubt90BSUpKlDkBZATugpt58803nKSAXXHCBzj777GrNw7qGP7luIzjllFNqJStIYl3Dv1z//7tt2zZlZ2dXes3y5cudHzdv3txjzRbWNeoLX65V1/4WLVp4fWK16334+vuAYBAalG3btlna9lTW8rRq1cpyTLfrCTfAicI1VTQ0NFQ9e/Z0G5Oenq6jR486295+D9jH2r+XgOrYv3+/nnvuOUmOzLYpU6ZUax7WNfwpJydHO3bscLbL/qOek5OjxYsX66qrrtKgQYPUq1cvDRo0SKNGjdKLL76o9PT0CudlXcPfLr/8cuf/f4uLi/XEE09UOP6HH37QN99842yPHTvWLQOfdY36wtdr1fV50puMI09zHz16VBkZGV5fW1UEg9Cg2DMnWrRo4dV1wcHBSkhIcLbLq8UC+MumTZv0008/OduDBg2ypHeXqe73gH2sfR6gOqZPn67c3FxJ0i233OL1T8XsWNfwp02bNsk0TWe7ffv2Wr58uYYOHaqHHnpIv/32mw4cOKCioiIdOHBAKSkpev7553X++edr3rx55c7Luoa/de3aVbfccouzvXTpUk2YMEFr1661rPmMjAzNmTNHEydOdPafc845GjNmjNucrGvUF75eq679FRWlrmhuybfPpeUfsQTUQzk5OZZ2kyZNvL42JiZG+/btkyTnwwtwIiguLtbUqVMtpxXcdNNNHsfW5HugcePGlvcsKCioVm0XQJK++OILff3115Kkbt266eqrr672XKxr+NPBgwct7V27dmny5MmWwyZiY2MVEhKirKws59/V+fn5evbZZ7Vz507NmDHDbV7WNU4EEyZMUFRUlGbOnKm8vDz973//0//+9z9FRkYqNjZWx44ds2wfCw8P1zXXXKNJkyZZsurLsK5RX/hyrebn5ztrJdrHV2VuybfPpWQGoUGxF7+ryj8grvv/vS2iB9SFZ555xllzRZJGjhyp3r17exxrX7thYWFev4/9+4WgKKorJydHjzzyiCTJMAxNnz7d40ODt1jX8KcjR45Y2i+88IIKCwsVHBys66+/Xt9++61++eUX/fDDD/rll1903333WQr+v//++5bjhcuwrnGiuPrqq7Vs2TINGTLE2ZeXl6c9e/ZYAkEdOnTQq6++qjvuuEOhoaEe52Jdo77w5VqtyTOpfawvn0sJBqFBKSgosLTL+4fKE9e/APLz82vtnoCaWLp0qV577TVnu3379rrnnnvKHV9b3wOe5gK89cwzzzjrpVx++eVeF2UsD+sa/mQ/PansoIonn3xSkydPthQSbdKkia655hotXLhQERERzv7nnnvO7afQrGucKL788ktdddVV+vTTTysct2PHDo0aNUo33nhjuXVMWNeoL3y5Vmtzbl8+lxIMQoNij6S6nixWGdd079o6JQSoie+//15Tp051tps2bao5c+YoMjKy3Gtq63vA01yAN1avXq23335bkhQXF6d//vOfNZ6TdQ1/8rRmhg4dqqFDh5Z7Ta9evXTjjTc620eOHNEHH3xQ4bysa/jDs88+q5tvvll//PGHJEeB9GeffVbfffed1q9frxUrVmjx4sW68sorFRLiqDDy1Vdf6bLLLtOuXbvc5mNdo77w5Vqtzbl9+VxKMAgNiv0huSo/UXCNulb0sA3UhZUrV2rSpEnOfzwiIyP10ksvqXPnzhVeZ1+79n9QKmL/fnHd5gB4o7i4WPfff7+zZsrdd99dpT345WFdw588/Z/AmxpYV155peWnwb/88kuF87KuUdc++OADS5Hzf/zjH/rXv/6lIUOGKDExUaGhoWrcuLEGDBigBx98UAsWLHA+mGZkZOjWW2+11EWRWNeoP3y5VmvyTGof68vnUoJBaFCio6Mt7cOHD3t9rWtNAP7xgT9t3LhRN9xwg3NrQlhYmF588UWddNJJlV5bk+8B17EhISH8RA5V9tprr2nz5s2SpFNPPVXDhg2rlXlZ1/An+/qLiIgot26bq5iYGHXr1s3Z/v333yucl3WNulRUVKRnnnnG2e7Zs6emTJmioKDyHw9PPfVU3X777c72xo0b9cUXX1jGsK5RX/hyrYaHhzsz6ST32nPezi359rmUYBAalNatW1vaZaeDVaa4uFgHDhxwttu0aVOr9wV4a9u2bbruuut09OhRSY5/YJ577jmdccYZXl1f3e8B+1j7PEBlDhw4oDlz5khy7I1/4IEHam1u1jX8yb5uEhISvC6I7npEsP1UMtY1/CklJcVZ201yZLJVFAgqc/nll1sy3pYtW2Z5nXWN+sLXa9W1f+/evdWaW/LtcylHy6NB6dixo6W9c+dOnXrqqZVet2fPHpWUlJQ7D1AXdu3apTFjxjhP7ggKCtKTTz6pc8891+s5EhMTFR0d7SxUunPnziq9fxm+B1BVmZmZzu22hmFo4sSJFY53/TtXkhYtWqQPP/zQ2Z4+fboGDhwoiXUN/2rXrp1CQ0Od23arcuKM61h76j/rGv5UlsVZplevXl5dFxkZqY4dOyo1NVWS44dYrljXqC98vVY7dOjgrMXlqb6WN3NHR0crISHB62uriswgNCgdO3a0/LRizZo1Xl23atUqS7tr1661el9AZfbt26cxY8Y4T+cwDEMPP/ywLrrooirP5bp+vf0e2L9/v+UnhHwPoCYKCwu1a9euCn/t2bPHcs3hw4ctr9u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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 470,
       "width": 577
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = plt.figure().gca()\n",
    "\n",
    "ax.plot(history['train'])\n",
    "ax.plot(history['val'])\n",
    "plt.ylabel('Loss')\n",
    "plt.xlabel('Epoch')\n",
    "plt.legend(['train', 'test'])\n",
    "plt.title('Loss over training epochs')\n",
    "plt.show();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Save the model\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [],
   "source": [
    "date = datetime.date.today().strftime('%y-%m-%d')\n",
    "MODEL_PATH = f'model_save/model_{date}.pth'\n",
    "\n",
    "torch.save(model, MODEL_PATH)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [],
   "source": [
    "# reload the model\n",
    "# model.torch.load('model.pth')\n",
    "# model = model.to(device)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Check reconstruction error"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [],
   "source": [
    "def predict(model, dataset):\n",
    "  predictions, losses = [], []\n",
    "  criterion = nn.L1Loss(reduction='sum').to(device)\n",
    "  with torch.no_grad():\n",
    "    model = model.eval()\n",
    "    for seq_true in dataset:\n",
    "      seq_true = seq_true.to(device)\n",
    "      seq_pred = model(seq_true)\n",
    "\n",
    "      loss = criterion(seq_pred, seq_true)\n",
    "\n",
    "      predictions.append(seq_pred.cpu().numpy().flatten())\n",
    "      losses.append(loss.item())\n",
    "  return predictions, losses"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[6.475390911102295,\n",
       " 4.057796478271484,\n",
       " 3.6951184272766113,\n",
       " 3.5229454040527344,\n",
       " 3.1105241775512695,\n",
       " 2.7158966064453125,\n",
       " 4.410896301269531,\n",
       " 3.1737751960754395,\n",
       " 5.078624725341797,\n",
       " 564.0125732421875,\n",
       " 118.96932983398438,\n",
       " 11.067346572875977,\n",
       " 7.681413650512695,\n",
       " 2.2629685401916504,\n",
       " 2.2459702491760254,\n",
       " 5.009679794311523,\n",
       " 3.5274581909179688,\n",
       " 4.4660749435424805,\n",
       " 4.193930625915527,\n",
       " 2.288841724395752,\n",
       " 5.305790424346924,\n",
       " 506.50933837890625,\n",
       " 170.89035034179688,\n",
       " 2.9803903102874756,\n",
       " 1.8732764720916748,\n",
       " 0.4762537479400635,\n",
       " 17.63483428955078,\n",
       " 13.621052742004395,\n",
       " 1.6280626058578491,\n",
       " 1.6280626058578491,\n",
       " 1.6280626058578491,\n",
       " 9.569190979003906,\n",
       " 3.950976610183716,\n",
       " 10.132783889770508,\n",
       " 4.41414213180542,\n",
       " 3.841397762298584,\n",
       " 14.235858917236328,\n",
       " 2.4932689666748047,\n",
       " 0.3788847029209137,\n",
       " 10.606548309326172,\n",
       " 2.6478137969970703,\n",
       " 3.971092700958252,\n",
       " 1.9757204055786133,\n",
       " 2.9639644622802734,\n",
       " 5.554292678833008,\n",
       " 2.3994808197021484,\n",
       " 9.777814865112305,\n",
       " 4.184451103210449,\n",
       " 3.016322135925293,\n",
       " 7.93351411819458,\n",
       " 3.2564563751220703,\n",
       " 7.106253623962402,\n",
       " 7.106253623962402,\n",
       " 7.106253623962402,\n",
       " 25.282350540161133,\n",
       " 5.763306617736816,\n",
       " 1.9292466640472412,\n",
       " 3.0547077655792236,\n",
       " 5.411063194274902,\n",
       " 2.4595675468444824,\n",
       " 2.9209418296813965,\n",
       " 5.213022232055664,\n",
       " 2.082340717315674,\n",
       " 5.661027908325195,\n",
       " 3.1858878135681152,\n",
       " 9.611069679260254,\n",
       " 3.48431396484375,\n",
       " 3.612818717956543,\n",
       " 3.256265163421631,\n",
       " 4.243818283081055,\n",
       " 3.121319055557251,\n",
       " 7.132509231567383,\n",
       " 2.606898307800293,\n",
       " 2.889389991760254,\n",
       " 5.744939804077148,\n",
       " 2.9277758598327637,\n",
       " 2.3206820487976074,\n",
       " 9.055814743041992,\n",
       " 2.2245290279388428,\n",
       " 5.559058666229248,\n",
       " 3.029712200164795,\n",
       " 2.92405366897583,\n",
       " 4.436098575592041,\n",
       " 2.8357269763946533,\n",
       " 3.2960450649261475,\n",
       " 3.0109457969665527,\n",
       " 8.913893699645996,\n",
       " 2.2014102935791016,\n",
       " 5.028566360473633,\n",
       " 4.177780628204346,\n",
       " 3.0008766651153564,\n",
       " 5.832966327667236,\n",
       " 3.4131276607513428,\n",
       " 3.6118223667144775,\n",
       " 3.449504852294922,\n",
       " 5.172828197479248,\n",
       " 4.8995442390441895,\n",
       " 3.3583712577819824,\n",
       " 3.749042510986328,\n",
       " 11.917932510375977]"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "_, losses = predict(model, test_normal_dataset)\n",
    "losses[:100]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: ylabel='Density'>"
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 611
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, losses = predict(model, train_dataset)\n",
    "sns.kdeplot(losses)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: ylabel='Density'>"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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5558311/+8pdVVFQUTslAr/Y2+6+DbTfsVGT5s89aI18PAAAAACA+0aHVD263W/Pnz9fcuXNVWlqqffv26ejRo8rJydHw4cNVXFyszMzMkO+3bdu2ftWRnp6uxYsX66677tLOnTtVVVWlY8eOKS8vTwUFBSouLu73yYoZGRlmFxoQK59YuqzG9BBoFQ7wXxNoAQAAAIBzEGiFwe12q7i4WMXFxbbWkZaWxrB2JAXrtsEz+xBoHWqTWn2GBnSzRREAAAAAkDzYcgggblgDrZ62HI4YEPje53RpAQAAAIAjEGgBiAsNvhQd9vq/Nzaj++sHpUoZln/BDhBoAQAAAIAjEGgBiAsHfP7z3lIkfSG9++tdLpdGWP6cOVoAAAAA4AwEWgDiwoEO/z2Eo9KltF7mYVnnaB1oiXRVAAAAAIB4RKAFIC7s7/Dv0OppflYn6xwtOrQAAAAAwBkItADEhf0+/3RqTAiBVgGBFgAAAAA4EoEWgLhwwNKhdWYPA+E7MUMLAAAAAJyJQAtAXLAGWqFsObTO0CLQAgAAAABnINACYLtGI0VHDY/fe/2ZoXWoTWr1GRGsDAAAAAAQjwi0ANiuyjI/yyVpdD86tCTpc7q0AAAAACDpEWgBsN0BS6A1Ml0akOLq9XODUqVMt+VeBFoAAAAAkPQItADYzhpohbLdUJJcLhdztAAAAADAgQi0ANjOGmiNCTHQkgLnaB1oiUBBAAAAAIC4RqAFwHafWQKtM/sQaNGhBQAAAADOQ6AFwHb93XIoSQUEWgAAAADgOARaAGzVbKToiJHm997YjNA/PyLdf02gBQAAAADJj0ALgK2qOzwB741OD3JhN6xbDpmhBQAAAADJj0ALgK1qjVS/dW6qNNDtCvnz1qHwNV6p1WdEojQAAAAAQJwi0AJgq2M+t996WGDDVo+sHVqS9DnbDgEAAAAgqRFoAbCVtUNraB8DrUGpUqZ/JqYDBFoAAAAAkNQItADY6pjPP9AaltbNhd1wuVwBXVoMhgcAAACA5EagBcBWtZZA67Q+dmhJgXO0GAwPAAAAAMmNQAuArY4ZlhlafezQkgLnaNGhBQAAAADJjUALgK2sHVp9naElEWgBAAAAgNMQaAGw1THrUPj+dGil+68JtAAAAAAguRFoAbBVwFB4ZmgBAAAAAHpBoAXANh2GoTrLDK1+dWhZAq0ar9TqM8KoDAAAAAAQzwi0ANim1isZcvm9F4kOLUn6nG2HAAAAAJC0CLQA2KbGG/jeaf0ItHJTpUz/Ri8dINACAAAAgKRFoAXANofb/NeDUiVPiiv4xT1wuVwBXVoMhgcAAACA5EWgBcA21g6t/mw37GSdo8VgeAAAAABIXgRaAGxj7dDqz0D4TtZAiw4tAAAAAEheBFoAbHM4ih1aBFoAAAAAkLwItADYpsbSoXVaOB1a6f5rAi0AAAAASF4EWgBsc8TSoTU0jA4t61B4ZmgBAAAAQPIi0AJgG2uH1rAIztCq8UqtPqP/NwQAAAAAxC0CLQC2sc7QimSHliR9zrZDAAAAAEhKBFoAbBPJofC5qdIAy79o1vsDAAAAAJIDgRYAW3QYho5aO7TC2HLocrl0miUQs87oAgAAAAAkBwItALY46pWsE67C6dCSRKAFAAAAAA5BoAXAFtaB8JI0JNKBVpCfAQAAAABIfARaAGxhnW+V42qXJ8UV1j3p0AIAAAAAZyDQAmALa4fWYFd72Pe0dngRaAEAAABAciLQAmALa4dWXkpH2Pe0dmhZh84DAAAAAJIDgRYAW1gDrcEp4XdoseUQAAAAAJyBQAuALaxbDvMisOWQQAsAAAAAnIFAC4AtrGFTNLYcEmgBAAAAQHIi0AJgi2gMhQ82Q8tnGGHfFwAAAAAQXwi0ANgicCh85AMtn6S68G8LAAAAAIgzBFoAbBHQoRWFQEti2yEAAAAAJCMCLQAx1+4zVGvJryIxFD7d7VKW2/89Ai0AAAAASD4EWgBi7miQ7CoSQ+ElBsMDAAAAgBMQaAGIOet2Q0kaFIEOLYlACwAAAACcgEALQMxZB8LnutqV6orMva2B1uEg4RkAAAAAILERaAGIOWuHViTmZ3WiQwsAAAAAkh+BFoCYs3Zo5bkilzoNsQRaRwm0AAAAACDpEGgBiDnrNkA6tAAAAAAAfUGgBSDmagI6tAi0AAAAAAChI9ACEHPWkClSJxxKBFoAAAAA4AQEWgBizjoUfnAKgRYAAAAAIHQEWgBizjoUPqIdWmn+67p2yeszInZ/AAAAAID9CLQAxFxAh1YETzm0dmhJUm3k8jIAAAAAQBwg0AIQU16foWOWgCmSHVqDUwPfY9shAAAAACQXAi0AMXU0SLgUyVMOPSkuDbKEWkfagl8LAAAAAEhMBFoAYqrGEmi5ZCg3goGWxGB4AAAAAEh2BFoAYuqwpVsq19WhVFdkfwaBFgAAAAAkNwItADFl7dAanBL5ie0EWgAAAACQ3Ai0AMTUYUu4FMn5WZ0ItAAAAAAguRFoAYipGsuWw7yUjoj/jCGWQCvYIHoAAAAAQOIKcsA9QuXz+VRaWqr9+/fryJEjysnJ0fDhw1VcXKyMjIyY1dHW1qZdu3apqqpKtbW1Gjx4sAoKCjRx4kSlpaVF7Ge8/fbbqq6u1uHDh5Wenq7TTjtN+fn5Gj9+vAYOHBiRn4PkR4cWAAAAACBcBFr90NHRodWrV2vdunWqqakJ+POMjAxdfvnlKikpUW5ubtTqaGlp0WOPPaann35adXV1AX8+aNAgzZo1S7fffrvS09P79TMOHDigFStW6KWXXlJjY2PQa1JTU3X++edr0aJFmjBhQr9+DpzD2i2VxwwtAAAAAEAfseWwj+rr63XjjTdq+fLlQcMsSWpubtbGjRs1Y8YMffTRR1Gpo6qqSrNmzdLq1auDhlmSVFdXp9WrV2vWrFmqqqrq889Ys2aNrrjiCj3zzDPdhlmS1N7erp07d2r37t19/hlwnmOWcCnXFfkthwRaAAAAAJDc6NDqg/b2dt1xxx0qLS013zvjjDM0Y8YMFRQUqLa2Vlu3btX7778vSaqurtb8+fO1adMm5efnR6yOxsZGLViwQOXl5eZ7Y8aM0WWXXab8/HxVV1frueeeU0VFhSSpvLxcCxYs0IYNG5SVlRXSz/j5z3+ulStXmuvU1FR95Stf0QUXXKChQ4dKkg4fPqwPPvhAb775ppqbmyP2+yG51VkasrIJtAAAAAAAfUSg1Qdr1qzRjh07zPUVV1yhhx56yG9O1YIFC7R27Vo9+OCDMgxDNTU1uueee/TEE09ErI5ly5Zpz5495vrWW29VSUmJXC6X+d7ChQu1dOlSPfnkk5KkPXv2aPny5br33nt7vf/69ev9wqyJEyfqpz/9qUaPHh30+ra2Nm3dulWnnXZaf38lOMgxa6AVhaHwp1lGxzV2SC0dhtLdruAfAAAAAAAkFLYchqixsVGrVq0y1+PHj9cjjzwSdOj67NmzdcMNN5jrV199VW+//XZE6jhw4IA2bdpkrqdMmaJFixb5hVmS5HK5tHjxYk2ZMsV8b+PGjTpw4ECP9z948KCWLVtmridNmqQ1a9Z0G2ZJUlpami677DJdcMEFff114EDWDq2cGHRoSdLRyI/qAgAAAADYhEArRM8884zfrKqSkhKlpnbf4HbnnXf6nfy3du3aiNSxYcMGeb0n90+5XC4tWbKkx+u7/rnX69WGDRt6vH7p0qXm9sGcnBw9+uijETspEfAZho4HbDn0RfznDEoN/MeNbYcAAAAAkDwItEL00ksvma8LCgp04YUX9nh9dna2pk+fbq63b9+utra2iNZRXFysoqKiHq8vKipScXFx0M9bHT16VC+++KK5vuWWW9hGiIiqb5cMy3vRmKHldrk02DpHK/z/+QEAAAAA4gSBVghaWlr01ltvmetJkyYFbPELZtKkSebrpqamsLcd7tu3T5WVlUHvH2odlZWV2r9/f9Dr/vSnP5ndXykpKbr66qv7XywQhHW7oSTlRGGGlsRgeAAAAABIZgRaIaioqDCDHkk677zzQvrc+eef77fevXt3WHV0HQQfTh3W+3R64403zNdjx47V8OHD+1Yg0AtroJUiKUOR33IoEWgBAAAAQDLjlMMQfPLJJ37rkSNHhvS5goICud1udXSc7ECpqKiwpY4RI0YE3GfatGkB173//vvm686wrK2tTc8++6y2bNmi8vJy1dbWKicnx9x2OXPmzF63PQKdrCccDkqVQmh27BcCLQAAAABIXgRaIfjss8/81qF2Lrndbg0bNkwHDx6UpF5PGOxLHSkpKcrPzw/pc/n5+UpJSZHP5+u2jurqar+h90VFRfr444/1gx/8QHv37vW79ujRozp69KjKysq0evVqXXfddVq8eLE8niBHywFdWDu08qL4V2YIgRYAAAAAJC22HIagsbHRb52bmxvyZ7Ozs83XTU1NEasjMzOzx1MWu/J4PH4nLgaro7a21m/d1NSkm266yS/MGjRokPLz8/2Cq/b2dq1bt04LFixQe3uQAUlAF9ZAa1AUI3Vrh9ZRAi0AAAAASBp0aIWgubnZbz1gwICQP5uent7tfcKpoy81dNbRGWQFq6O+vt5v/cQTT5hzw6655hrddtttGjVqlPn5v/71r1q+fLkOHz4sSXrttde0fPlyLV68uE91RUN5eblSUshq49FHJ06TdKrDMbWlQV7Xyb9nXq9XZWVlEftZXsvP+vRYg8rKKiN2f/Rd578pkX7WiD88a+fgWTsDz9k5eNbOwbN2hmg8586dX/GAQCsEra2tfuu+bK1LS0szX7e0tESsjr5u7+utjhMnTvitO//if//739dtt93m92cZGRm6+uqrNXHiRF133XVmqLV27VrdcMMNKiws7FNtkdbR0WHOLUN8sXZoZRn+b3Q9fCFc2T7//90e63BH9P4ID8/COXjWzsGzdgaes3PwrJ2DZ+0MyficCbRCYO2G8nq9IXdItbW1ma+7dmuFW0df/zL2Vkew3+fLX/6y5s2b1+09R4wYoR/96Ee66667JJ3cfvj//t//06JFi/pUW6S53W46tOJUc5t/EJvjNvzWkZzDNsSQ1CW7Pa5U5rzZrOu/WzyL5Mazdg6etTPwnJ2DZ+0cPGtniMZz9vl8cdNAQqAVgoyMDL91a2tryIFW124o633CqcPaNRZuHcHeu/HGG+Xq5Qi66dOna+jQoWaX1t///vc+1RUNY8eOVVZWlt1lIAj3R4ZfyDRm2GB5mqvk9Xrl8Xg0YcKEiP2sE8cNqfTU+rjS9KUvfanXv9OInrKysqg8a8QfnrVz8KydgefsHDxr5+BZO0M0nnNjY6N2794dkXuFizaWEFjDkePHj4f82a6zqTIzMyNWR1NTU8hD2L1er9+WwmB1BAuAiouLe7232+3WV77yFXP98ccfyzCMHj4BJ4vpUPg0/3WLT2qOn+3eAAAAAIAwEGiFwDoT6uDBgyF9rr293exckk5u0YtUHT6fT4cOHQrpc9XV1X6D24LVUVBQ4LdNz+PxaNiwYSHdf/jwU4O3Ozo6AgbMA50CAq0odjdbTzmUpCPJt20cAAAAAByJQCsEo0eP9lvv27cvpM9VVVX57S213ifcOvbv3x/S5w4cONDjfSRp4MCBOuOMM8x1X/bXWrdf9nU7JJzjmCXQyotih1aOW0q17C4k0AIAAACA5ECgFYLRo0f7BTzvvfdeSJ975513/NZnnXVWWHWMGzfOb/3uu+9GtI6zzz7bfN3c3Ow3SL4ndXV1futBgwaF9Dk4Tyy3HLpcroAurSOh/ZUGAAAAAMQ5Aq0QDBw40G+e1I4dO0KaE7Vjxw7zdUZGhiZOnBhWHaNGjdKoUaOC3j/UOoqKivzu0dU3v/lNv/XHH38c0v27DoQbOnSo0tLSergaThbLQEsK3HZIhxYAAAAAJAcCrRBNmzbNfF1VVaU33nijx+sbGhr0wgsvmOvJkydHJOi55JJLzNc7d+5UZWVlj9dXVlZq165d5nrq1Kk93tvtdpvr559/vtd6Dh48qLKyMnP91a9+tdfPwJm8PkNNltNdo7nlUCLQAgAAAIBkRaAVohkzZig3N9dcL1u2rMdTBn/xi1/4nSw4e/bsbq+dOnWqxo0bp3HjxvUYOEnSddddZ25/NAxDjzzySI/XP/zww+Zrj8ej66+/vttrBw8erBkzZpjrDRs26LPPPuvx/suWLfObE3bVVVf1eD2cy9qdJdGhBQAAAADoHwKtEGVnZ2vu3Lnm+sMPP9SSJUvk9QZ+Q163bp3Wr19vridPnhz2dsNOI0eO1MyZM831tm3b9OijjwZsgTQMQ0uXLtXLL79svjdr1qxeT1q8/fbbzSHvzc3Nmjt3btDh8+3t7Vq2bJn++7//23zv/PPP1ze+8Y1+/V5IfnYEWkMItAAAAAAgKUX562RyueWWW/Taa6/pzTfflCRt2bJFpaWluvLKK1VYWKja2lpt3brVbwve0KFDdf/990e0jkWLFqm0tFR79+6VJK1atUqvvPKKLr30UuXn5+vQoUN69tlnVVFRYX7mzDPPVElJSa/3PuOMM/TTn/5UixYtkiR9+umnuvzyyzV9+nSdd955GjBggD777DM9//zzftsdBw0apGXLlkX090RysZ5wmJ4ipbtdwS+OEDq0AAAAACA5EWj1gcfj0YoVKzR//nzz5MCqqiqtXLky6PXDhg3T448/rtNPPz2idWRlZWnlypWaN2+eGVqVl5drxYoVQa8fPXq0Vq5cqaysrJDuf9VVV6murk6PPvqovF6v2tratGXLFm3ZsiXo9WeccYZWrlypwsLC/v1CcIRYD4SXpMGWQOsYgRYAAAAAJAW2HPZRbm6u1q9fr7vvvltDhw4Nek1GRoauueYabdmyReecc05U6igsLNTmzZs1Z84cv9le1lrnzJmjzZs39zlsuummm/SHP/xBkyZNUkpK8L8mWVlZmjt3rv70pz9p3Lhxff4d4Cx2BFrWofPWLjEAAAAAQGKiQ6sf3G635s+fr7lz56q0tFT79u3T0aNHlZOTo+HDh6u4uFiZmZkh32/btm39qiM9PV2LFy/WXXfdpZ07d6qqqkrHjh1TXl6eCgoKVFxcHNbJiuPHj9eaNWtUU1Ojd955R4cOHdKJEyeUl5enL3zhCzrvvPPMAfVAb6zdUdE+4TDYzyDQAgAAAIDkQKAVBrfbreLiYhUXF9taR1pami666KKo3X/YsGGaPn161O4PZ7ClQ8u65ZBACwAAAACSAlsOAcSEHYGW9WfUt0s+y4mgAAAAAIDEQ6AFICas3VGDYrBb1brl0JB0nC4tAAAAAEh4BFoAYsIaJNkxFF5i2yEAAAAAJAMCLQAxYd1yGIuh8JluKdXl/x6BFgAAAAAkPgItADFhPeUwFh1aLpcr8KRDb/BrAQAAAACJg0ALQEzYMRReCuwEo0MLAAAAABIfgRaAmLBjy6Ek5VmGzxNoAQAAAEDiI9ACEHWGYdhyyqEUpEOLLYcAAAAAkPAItABE3Qmf5DX832PLIQAAAACgvwi0AESddbuhFLsth9ZOsGC1AAAAAAASC4EWgKgL1hWV447Nz7Z2ghFoAQAAAEDiI9ACEHV1lrlV2W4pNcUVk5/NDC0AAAAASD4EWgCizq4TDoP9LGZoAQAAAEDiI9ACEHUBJxzGMtCyzNAi0AIAAACAxEegBSDqrB1aMQ202HIIAAAAAEmHQAtA1AVsOfQEvy4arIFWXbvkM4zYFQAAAAAAiDgCLQBRF09bDn2SGjpi9/MBAAAAAJFHoAUg6qwdWrk2bjmU2HYIAAAAAImOQAtA1B238ZTDbLfkdvm/Zw3YAAAAAACJhUALQNRZO6JiueXQ5XIF/DxOOgQAAACAxEagBSDq7DzlUApy0iGBFgAAAAAkNAItAFFnDZBiecqhFBigMUMLAAAAABIbgRaAqKNDCwAAAAAQSQRaAKLKZxi2DoWXAjvCCLQAAAAAILERaAGIqvp2ybC8F+sOLbYcAgAAAEByIdACEFXW7YaS/VsOg9UEAAAAAEgcBFoAosoaHrldUpY7tjUwQwsAAAAAkguBFoCosoZHg1Ill8sV0xoCZmix5RAAAAAAEhqBFoCosvuEQ4kthwAAAACQbAi0AESVNTyK9QmHwX4mWw4BAAAAILERaAGIKuv2Pls6tKxbDtslw7CevQgAAAAASBQEWgCiKh62HFp/ZrshNXXEvg4AAAAAQGQQaAGIqngItIJtc2TbIQAAAAAkLgItAFEVD4FWbqpkPVeRQAsAAAAAEheBFoCoiodAK8XlUq51MLw3+LUAAAAAgPhHoAUgqgJOOfQEvy7aOOkQAAAAAJIHgRaAqLIGR3Z0aEkEWgAAAACQTAi0AERVPGw5lAI7w6x1AQAAAAASB4EWgKgK2HIYLx1azNACAAAAgIRFoAUgarw+Q00d/u/Z1aFl/blsOQQAAACAxEWgBSBqgm3rY8shAAAAACBcBFoAoiaeAq2ADi22HAIAAABAwiLQAhA11kBrQIqU7nbZUgunHAIAAABA8iDQAhA1x+PkhEOJQAsAAAAAkgmBFoCoqbcMhM9x21OHFDhDi0ALAAAAABIXgRaAqKm3hEY58dSh5ZUMw7CnGAAAAABAWAi0AESNdcthrp0dWpZAq82QWnz21AIAAAAACA+BFoCoCdhyaGeHlifwPbYdAgAAAEBiItACEDXxtOUw2EB6Ai0AAAAASEwEWgCixrrl0M6h8G6XK+DnH/PaUwsAAAAAIDwEWgCipiGOthxKnHQIAAAAAMmCQAtA1ARsObSxQ0sK3HZIoAUAAAAAiYlAC0DUBJxyaHeHljXQYsshAAAAACQkAi0AURNPpxxKQQItOrQAAAAAICERaAGImrjbcsgMLQAAAABICgRaAKLmuKVDK962HFq3RAIAAAAAEgOBFoCoMAwjsEMrzgItZmgBAAAAQGIi0AIQFU0dkmF5z+4th3lsOQQAAACApECgBSAqrNsNpfjbckigBQAAAACJiUALQFRYtxtKUrbdHVpsOQQAAACApECgBSAqrIFWRoqUmuKyp5j/RYcWAAAAACQHAi0AURFvJxxK0iDLDK0TPqnVZ530BQAAAACIdwRaAKIi3k44lAI7tCS2HQIAAABAIiLQAhAV9ZYOLbtPOJS6CbTYdggAAAAACYdAC0BUHLcERfGw5dCT4lKmJVgj0AIAAACAxEOgBSAq4nHLoRTYpWUN3gAAAAAA8Y9AC0BUxOOWQ0kaZAm06gi0AAAAACDhEGgBiApr51O8dGgRaAEAAABA4iPQAhAVDdZAK047tDjlEAAAAAASD4EWgKgI2HJIhxYAAAAAIELi5CtmYvL5fCotLdX+/ft15MgR5eTkaPjw4SouLlZGRkbM6mhra9OuXbtUVVWl2tpaDR48WAUFBZo4caLS0tJiVgfQVTyecigF1kGgBQAAAACJJ06+YiaWjo4OrV69WuvWrVNNTU3An2dkZOjyyy9XSUmJcnNzo1ZHS0uLHnvsMT399NOqq6sL+PNBgwZp1qxZuv3225Wenh7SPadOnaqqqqo+1/Kb3/xG3/jGN/r8OSSvgFMO42TLIaccAgAAAEDiY8thH9XX1+vGG2/U8uXLg4ZZktTc3KyNGzdqxowZ+uijj6JSR1VVlWbNmqXVq1cHDbMkqa6uTqtXr9asWbP6FVIB4WDLIQAAAAAgWuLkK2ZiaG9v1x133KHS0lLzvTPOOEMzZsxQQUGBamtrtXXrVr3//vuSpOrqas2fP1+bNm1Sfn5+xOpobGzUggULVF5ebr43ZswYXXbZZcrPz1d1dbWee+45VVRUSJLKy8u1YMECbdiwQVlZWSH/nCFDhigzMzOka2O5xRKJIV63HA7y+K8JtAAAAAAg8cTJV8zEsGbNGu3YscNcX3HFFXrooYf85lQtWLBAa9eu1YMPPijDMFRTU6N77rlHTzzxRMTqWLZsmfbs2WOub731VpWUlMjlcpnvLVy4UEuXLtWTTz4pSdqzZ4+WL1+ue++9N+Sf84Mf/EAzZ86MWN1wDp9hqMHaoRUnWw4DTjkk0AIAAACAhMOWwxA1NjZq1apV5nr8+PF65JFHgg5dnz17tm644QZz/eqrr+rtt9+OSB0HDhzQpk2bzPWUKVO0aNEivzBLklwulxYvXqwpU6aY723cuFEHDhyISB1ATxo7At9jyyEAAAAAIFIItEL0zDPP+M2qKikpUWpq99/Q77zzTg0cONBcr127NiJ1bNiwQV6vV9LJ0GrJkiU9Xt/1z71erzZs2BCROoCeBBu0HjdbDoMEWoZh2FMMAAAAAKBfCLRC9NJLL5mvCwoKdOGFF/Z4fXZ2tqZPn26ut2/frra2tojWUVxcrKKioh6vLyoqUnFxcdDPA9FiHQgvSVlxsuXQesphuyE1++ypBQAAAADQPwRaIWhpadFbb71lridNmhSwxS+YSZMmma+bmprC3na4b98+VVZWBr1/qHVUVlZq//79YdUB9Kbe0qGV5ZbcIfxvJhasHVoS2w4BAAAAINEQaIWgoqLC3OYnSeedd15Inzv//PP91rt37w6rjq6D4MOpw3ofINLi9YRDKfgsLwItAAAAAEgscfQ1M3598sknfuuRI0eG9LmCggK53W51dJzcf1VRUWFLHSNGjAi4z7Rp03r93JYtW7Rx40ZVVlaqoaFBmZmZysvL04QJE3TRRRfp0ksvDToUH7BuOYyXEw6lk51iOW7Dr8Y6b/fXAwAAAADiDx1aIfjss8/81sOHDw/pc263W8OGDTPX4Z4w2LWOlJQU5efnh/S5/Px8paScetSh1rFjxw6VlpaqtrZWXq9XdXV1+vTTT/XMM89o0aJFuuSSS/TnP/+5b78EHMG65TBeTjjsZN12eIwOLQAAAABIKARaIWhsbPRb5+bmhvzZ7Oxs83VTU1PE6sjMzOzxlMWuPB6P34mLfalj4MCBOv300zV06FB5PB6/P6upqVFJSYnuv//+kO8HZwjYchhHHVpS8JMOAQAAAACJI876JuJTc3Oz33rAgAEhfzY9Pb3b+4RTR19q6KyjM8jqqQ63261LLrlE3/rWt1RcXKzCwkLzz9ra2vTuu+/qqaee0l//+lfz/XXr1mnYsGG67bbb+lRTtJSXl/t1pCH29jYPk3Sqg9DXdFxlZcEPI+icT+f1elVWVhaL8uRp/YKkLHP90b7PVVZzNCY/28nseNawB8/aOXjWzsBzdg6etXPwrJ0hGs/Z54ufI+IJtELQ2trqt7Z2KvWk64yplpaWiNXRlxr6Usd//dd/afDgwd3e44ILLtAFF1yg5557TiUlJWpvP9na8thjj+nSSy8NmNdlh46ODnNuGezRYPnPn2F4/Q5W6E4o10RClvxbsuo6YvezcRL/vZ2DZ+0cPGtn4Dk7B8/aOXjWzpCMz5lAKwTWbiiv1xtyh1RbW5v5umu3Vrh19PUvY6h1dBdmWV122WWqqanRQw89ZNazevVq/eQnP+lTXdHgdrvp0LJZc6t/4Jrj7j6E7fp3ua9BbX/luA11zbSaXZ6Y/Wwns+NZwx48a+fgWTsDz9k5eNbOwbN2hmg8Z5/PFzcNJARaIcjIyPBbt7a2hhxode2Gst4nnDqsXWOxrKPTjTfeqN/97nf6/PPPJUmvvPJKRO4brrFjxyorK6v3CxE1qR8Y0uFT69Gnn6YJXxga9NqysjJ5vV55PB5NmDAhJvV9Ya8hdTnrITVvqCacPaz7DyAi7HjWsAfP2jl41s7Ac3YOnrVz8KydIRrPubGxUbt3747IvcJFG0sIrOHI8ePHQ/5sfX29+TozMzNidTQ1NZnb/Xrj9Xp14sSJiNXRKTU1Vd/85jfN9cGDB3Xo0KGI3BuJzToUPoeh8AAAAACACCLQCkHXwejSyeAmFO3t7Tp8+FSbSrjzpbrW4fP5Qg6Pqqur/Qa3RXLO1ahRo/zWtbW1Ebs3Ele99ZTDOOsFDQi0km87OQAAAAAkNQKtEIwePdpvvW/fvpA+V1VV5be31HqfcOvYvz/4qXFWBw4c6PE+4Rg4cKDfOtzB90gO9ZYt1TnxHmjRoQUAAAAACYVAKwSjR4/2G6D23nvvhfS5d955x2991llnhVXHuHHj/NbvvvuuLXV0deTIEb91Xl5exO6NxBXvWw7zCLQAAAAAIKERaIVg4MCBKi4uNtc7duyQYRi9fm7Hjh3m64yMDE2cODGsOkaNGuW3xa/r/UOto6ioKGCbYDhKS0vN1x6PR/n5+RG7NxKXtUMr7rccEmgBAAAAQEIh0ArRtGnTzNdVVVV64403ery+oaFBL7zwgrmePHmy0tLSwq7jkksuMV/v3LlTlZWVPV5fWVmpXbt2meupU6eGXUOnTz/91O+/w3nnnRewBRHO02EYaor3LYeWE2vr2hVSSA0AAAAAiA8EWiGaMWOGcnNzzfWyZct6PGXwF7/4hd/JgrNnz+722qlTp2rcuHEaN25cr4HTddddZ25/NAxDjzzySI/XP/zww+Zrj8ej66+/vttrW1tbe7yX9drFixf7zQi76qqrQv48kpd1ILwUf1sOrR1aPkkNHUEvBQAAAADEIQKtEGVnZ2vu3Lnm+sMPP9SSJUvk9QYej7Zu3TqtX7/eXE+ePDns7YadRo4cqZkzZ5rrbdu26dFHHw3oLjEMQ0uXLtXLL79svjdr1qweTzi85JJLtGbNGh09erTHGvbu3avrr7/eb5bYmDFjdPXVV/f110ESsm43lOKwQytIPWw7BAAAAIDEEWdfM+PbLbfcotdee01vvvmmJGnLli0qLS3VlVdeqcLCQtXW1mrr1q0qKyszPzN06FDdf//9Ea1j0aJFKi0t1d69eyVJq1at0iuvvKJLL71U+fn5OnTokJ599llVVFSYnznzzDNVUlLS430PHz6shx9+WI8++qjOPfdcjR8/XiNGjFBWVpY6OjpUU1Ojt956Szt37vQL0AYNGqRf/epXSk3lrxMCO7RckrLirEMr232yrq4xcF27NNKuggAAAAAAfUIC0Qcej0crVqzQ/PnzzZMDq6qqtHLlyqDXDxs2TI8//rhOP/30iNaRlZWllStXat68eWZoVV5erhUrVgS9fvTo0Vq5cqWysrJCun9HR4dKS0v9Br535+yzz9bPfvYzFRUVhVw/kpv1hMNst5TictlTTDdSXC7lphp+XVl0aAEAAABA4mDLYR/l5uZq/fr1uvvuuzV06NCg12RkZOiaa67Rli1bdM4550SljsLCQm3evFlz5szxm+1lrXXOnDnavHmzCgsLe73n3Llz9ZWvfEUDBgzo9dqzzz5bP/3pT7Vx40aNGTOmz/UjeVm3HMbbdsNOeZx0CAAAAAAJK06/asY3t9ut+fPna+7cuSotLdW+fft09OhR5eTkaPjw4SouLlZmZmbI99u2bVu/6khPT9fixYt11113aefOnaqqqtKxY8eUl5engoICFRcX9+lkxc4tiV6vVx9//LEOHDigw4cPq7m5WW63W9nZ2crPz9e5556rIUOG9KtmJD/rlsPcOP1XxjpHi0ALAAAAABJHnH7VTAxut1vFxcUqLi62tY60tDRddNFFEbufx+PRl770JX3pS1+K2D3hHNYth/F2wmEnAi0AAAAASFxsOQQQUYmy5dAaaB0LPLAUAAAAABCnCLQARFSibDm01kWHFgAAAAAkDgItABEV7JTDeGTt0LLWDQAAAACIXwRaACKqIUG2HOZ5/Nd0aAEAAABA4iDQAhBRAVsOE6RDi0ALAAAAABIHgRaAiAo45TBOO7QItAAAAAAgcRFoAYiohD3lkEALAAAAABIGgRaAiGLLIQAAAAAg2gi0AETU8QTt0Kpvl3yGYU8xAAAAAIA+IdACEFHWDq2cBOnQMhRYOwAAAAAgPhFoAYgYr8/QCZ//e7lx2qGVF6Quth0CAAAAQGIg0AIQMdaB8FL8bjnMdEtul/97BFoAAAAAkBgItABETLAte/G65dDlcjEYHgAAAAASFIEWgIixdmil6GQnVLyyBlrHCLQAAAAAICEQaAGImOPWgfCpJzuh4hUdWgAAAACQmAi0AERMopxw2IlACwAAAAASE4EWgIixbjmM1xMOO1lPOiTQAgAAAIDEQKAFIGKCbTmMZ9bAjUALAAAAABIDgRaAiEn0LYfWQA4AAAAAEJ8ItABETKJtOQw45dBrTx0AAAAAgL4h0AIQMdYOp+wEC7TYcggAAAAAiYFAC0DENCT4lkMCLQAAAABIDARaACIm0bYc5nn81wRaAAAAAJAYCLQARIx1KHw2HVoAAAAAgCgg0AIQMYnWoWUNtBo6pHafYU8xAAAAAICQEWgBiBhrh1ZOggVaUmAoBwAAAACIPwRaACLGGgYl2lB4STrGtkMAAAAAiHsEWgAiJtFmaA1MkTwu//eYowUAAAAA8Y9AC0BEtPsMnfD5vxfvWw5dLlfgYHivPbUAAAAAAEJHoAUgIhqCzJ6K90BLkvI46RAAAAAAEg6BFoCICDZMPd5naEmBc7QItAAAAAAg/hFoAYgI6/wsl6RMAi0AAAAAQBQQaAGIiGAD4VNcruAXx5FBHv81pxwCAAAAQPwj0AIQEdYth9kJMD9LknLp0AIAAACAhEOgBSAirB1aiTA/SwrccnicQAsAAAAA4h6BFoCIsJ5ymAgnHEqccggAAAAAiYhAC0BEJEuHFoEWAAAAAMQ/Ai0AEWGdoZUoHVoEWgAAAACQeAi0AEREsFMOE4E10DrmtacOAAAAAEDoCLQARESinnJIhxYAAAAAJB4CLQAR0ZAkM7SafVKbz7CnGAAAAABASAi0AEREop5yaA20JOk4XVoAAAAAENcItABERLKcciix7RAAAAAA4h2BFoCISNRTDtPdLqVb/iUk0AIAAACA+GZ7oHXLLbfoueeek9fL0WJAIkvUDi2JwfAAAAAAkGhs76F444039Pe//125ubn69re/rWuuuUZjx461uywAfZSopxxKJwOt6rZT62MEWgAAAAAQ12zv0OpUV1en3/3ud7ryyiv1ve99T08//bROnDhhd1kAQmAYBh1aAAAAAICYsT3QSk1NlWEYcrlckk5+MX7vvff07//+7/r617+uH//4xyorK7O5SgA9OeGTfJb3EmWGlhQk0GIHNAAAAADENdsDrb/97W/6/ve/r6KiIhmGYb5vGIaampq0ceNGXXvttbrqqqu0fv161dfX21gtgGCs3VlSYnVo5dGhBQAAAAAJxfZAa/DgwZo3b57+8pe/6KmnntJVV12l9PR0SfLr2tq9e7fuv/9+TZ48WSUlJXrrrbfsLBtAF9b5WVJizdDKJdACAAAAgIRie6DV1cSJE/XII49o+/btuvfee/UP//APZteWy+WSYRhqbW3Vf//3f+umm27S9OnT9Zvf/EZHjhyxuXLA2awdWgNSpAEpLnuK6QfrlsPjBFoAAAAAENfiKtDqlJWVpeuuu06bNm3SM888oxtuuEE5OTl+1xiGoX379ulnP/uZvvnNb+pf//Vf9eqrr/ptWwQQGwEnHCbQdkMpMNDilEMAAAAAiG9xGWh1NW7cON1zzz3avn27Hn30UX31q181/6xzS2J7e7u2bt2qBQsWaMqUKVqxYoWqqqrsKhlwnEQ+4VCSBnn812w5BAAAAID4FveBVqe0tDRdeeWV+t3vfqcXXnhB8+fP17Bhw8yOLMMwZBiGqqur9atf/Urf+ta3dOutt+qvf/2rOjqCDPgBEDENlv+JJdIJh1KQUw4JtAAAAAAgriVMoNXViBEjdNddd+nll1/Wr371Kw0fPlwul8v8P8Mw5PP5tGPHDt1555365je/qccff1yNjY12lw4kpYTv0CLQAgAAAICEkpCBliQdOnRIjz/+uB544AFVV1d3e51hGDp8+LAee+wxXXLJJdq4cWMMqwScwTpDK9E6tPIItAAAAAAgoSTU186Ojg699NJL2rRpk15//XX5fD4ZhmHO0up8fdFFFykrK0vbtm2T1+s1//z48eP68Y9/rA8//FA/+clPbPxNgOQS0KGVUP+yBHZotfiklg5D6e7EOakRAAAAAJwkIb52fvrpp9q4caOeeeYZ1dbWSlJAkHXaaadp5syZ+s53vqMRI0ZIOhlgbd68WU899ZQ+++wzczvif/3Xf+nrX/+6pk2bZtvvBCQTa4dWVoJvOZSk4x1SeoL9HgAAAADgFHEbaLW2tuovf/mLNm7cqNLSUkkyB8B3BlmSNGnSJF177bW65JJLlJrq/+vk5ubq5ptv1j/90z/pt7/9rX7+85+bA+J///vfE2gBEdKQ4DO0coP8S3jMK+Wnxb4WAAAAAEDv4i7Q+uCDD7Rx40Y999xz5hD3rt1YkjR48GDNnDlT3/3ud81urJ643W7deuutOnz4sH7729+aPwdAZCT6KYdpKS5lpBhq9p16jzlaAAAAABC/4uJrZ0NDg/785z9r48aN2r17t6Tg3VgXXnihrr32Wk2bNi2gGysU06dPNwOt+vr68AsHICnxZ2hJJ7cdNredWhNoAQAAAED8sv1rZ0lJiV588UW1trYGDbHy8vLMbqyRI0eG9bOGDh1q3r/zZwEIX8Aphwm25VCS8jzS5wRaAAAAAJAQbA+0tmzZYgZMXYOmr33ta/rud7+rb33rW/J4PBH5WdbTEAFERrJ0aHVFoAUAAAAA8Suuvnbm5eXp6quv1rXXXht2N1Z393/ooYcifl/A6awdWtkJ2KFFoAUAAAAAiSMuAq0LLrhA1157bUS7sYLJyMjQ1VdfHbX7A04V0KGVBIHWMQItAAAAAIhbtgdazz//vIqKiuwuA0A/tfsMnfD5v5eIWw5z6dACAAAAgISRYncBhFlAYmvoCHwvEQMta4fWcQItAAAAAIhbtn/t/OUvf2m+vvnmm5WVldWv+zQ0NOh3v/uduV64cGHYtQHonXV+lpQcWw7rvPbUAQAAAADoXVwEWp0nDs6cObPfgVZ9fb3fvQi0gNiwzs9yScpMwEArjy2HAAAAAJAwbN9yKEmGYcTlvQD0zhpoZbmllP8NlhMJpxwCAAAAQOKwvUMrkfl8PpWWlmr//v06cuSIcnJyNHz4cBUXFysjIyNmdbS1tWnXrl2qqqpSbW2tBg8erIKCAk2cOFFpaWkxqwPOZN1ymIjzsyROOQQAAACARJKgXz0D+Xynjllzu6O736mjo0OrV6/WunXrVFNTE/DnGRkZuvzyy1VSUqLc3Nyo1dHS0qLHHntMTz/9tOrq6gL+fNCgQZo1a5Zuv/12paenR+Rnvv7665ozZ47fe1dffbUefvjhiNwficfaoZWI87MkaZDHf13XfrLj05WA3WYAAAAAkOziYsthJNTW1pqvo9kdVV9frxtvvFHLly8PGmZJUnNzszZu3KgZM2boo48+ikodVVVVmjVrllavXh00zJKkuro6rV69WrNmzVJVVVXYP7OlpUU/+clPwr4Pkov1lMNk6dDyGtIJX/BrAQAAAAD2StCvnoHeeOMNSZLL5VJ+fn5UfkZ7e7vuuOMOlZaWmu+dccYZmjFjhgoKClRbW6utW7fq/ffflyRVV1dr/vz52rRpU0Rramxs1IIFC1ReXm6+N2bMGF122WXKz89XdXW1nnvuOVVUVEiSysvLtWDBAm3YsKHfQ/cl6T//8z+1f//+sOtHckmaDq0g/xrWtUsZCfr7AAAAAEAyi0mg9fnnn4d03aFDh/p0X6/Xq8OHD+vNN9/UqlWrzPfPPvvsPt0nVGvWrNGOHTvM9RVXXKGHHnrIb07VggULtHbtWj344IMyDEM1NTW655579MQTT0SsjmXLlmnPnj3m+tZbb1VJSYnf1qiFCxdq6dKlevLJJyVJe/bs0fLly3Xvvff262fu3r1ba9askSSNHj3aDMuAZJmhlRskuKprl84YEPtaAAAAAAA9i8lXz6lTp/Y6h8YwDF1//fX9/hldTzecPn16v+/TncbGRr/QbPz48XrkkUeUmhr4n3D27Nnat2+fnnrqKUnSq6++qrfffltf+cpXwq7jwIED2rRpk7meMmWKFi1aFHCdy+XS4sWL9emnn+rll1+WJG3cuFFz5szRiBEj+vQzfT6ffvzjH8vr9UqS7r33Xt10001h/BZIJtYOrewE7WhKTXEp2234baHkpEMAAAAAiE8xnaFlGEbA//X256H8nyQzMJs4caKmTZsW8dqfeeYZv1lVJSUlQcOsTnfeeacGDhxorteuXRuROjZs2GAGSy6XS0uWLOnx+q5/7vV6tWHDhn79zHfffVeSdNVVV+lrX/tan++B5GXt0MpO0A4tKXDbIYEWAAAAAMSnmAVa1vAq0vceMGCAvve97+nXv/51VH7GSy+9ZL4uKCjQhRde2OP12dnZfp1i27dvV1tbW0TrKC4uVlFRUY/XFxUVqbi4OOjnQ3Ho0CH97Gc/kyTl5ORo8eLFffo8kl9DkszQkgIDrWNee+oAAAAAAPQsJr0UCxcu7PbPfvnLX0o62W30T//0T8rJyQn5vmlpacrOztYXvvAFfelLX1JmZmbYtQbT0tKit956y1xPmjSp1y2Undf96U9/kiQ1NTXp7bff7jUI68m+fftUWVnpd/9QTJo0STt37pQkVVZWav/+/Ro5cmRIn73//vvV2NgoSbr77rs1ZMiQvhWNpJcspxxKdGgBAAAAQKKIi0CrMxy6+eabdcYZZ8SipD6pqKgwt/lJ0nnnnRfS584//3y/9e7du8MKtLoOgg+njj179oQUaL300kt64YUXJEkTJkzQtddeG1qhcJRkOeVQItACAAAAgEQR0xla3YnmdsRI+OSTT/zWoXY3FRQUyO0+9e0+3JMB+1uHdQi89T7BNDU16ac//akkye1267777lNKSlz8dUGcSZZTDiUCLQAAAABIFLZ/9ew60yk/P9/GSrr32Wef+a2HDx8e0ufcbreGDRumgwcPSjp5QmGk6khJSQn5v1d+fr5SUlLk8/lCruPnP/+5WfcNN9yg8ePH96NiOEGynHIoSYM8/msCLQAAAACIT7YHWgUFBXaX0KvOGVKdcnNzQ/5sdna2GQw1NTVFrI7MzMweT1nsyuPxaODAgebP762O999/X+vXr5ckDRs2THfccUc/K4YTJHOH1nECLQAAAACISwn81TN2mpub/dYDBgwI+bPp6end3iecOvpSQ2cdnUFWT3V0dHTonnvuMbu5fvjDHyorK6sf1dqnvLyc7ZExYhhSffs5kk4dklBdsVdlqS0h36NzPp3X61VZWVmkS+yT5hNDJJ2a43egrlFlZZ/aV1CSiadnjejiWTsHz9oZeM7OwbN2Dp61M0TjOXdmBfGAQCsEra2tfmuPx9PNlYHS0tLM1y0toX/J762OvtTQlzrWrFmj//mf/5Ekff3rX9dll13Wxyrt19HRoY6Ojt4vRNhaDJd88j/xc0BHq7yGt5tP9Kzr4Qt2yPC1+a3rO1y215Ss+O/qHDxr5+BZOwPP2Tl41s7Bs3aGZHzOBFohsHZDeb3ekDuk2tpOfUHu2q0Vbh19/csYSh2fffaZfvnLX5o/68c//nE/qrSf2+2mQytGjvsC/wkZ5EmRJyX0wLXr3+W+BrWRlufzD+calWp7Tckknp41ootn7Rw8a2fgOTsHz9o5eNbOEI3n7PP54qaBJKqB1he/+EW/tcvl0kcffdTjNZEQ7OeEIyMjw2/d2toacqDVtRvKep9w6rB2jUWijvvuu08nTpyQJN12220aNWpUP6q039ixYxNum2Si2tNsSG/6v/e1CeM1IMUV/ANBlJWVyev1yuPxaMKECRGusG+OHjOkd0+tm90DbK8pmcTTs0Z08aydg2ftDDxn5+BZOwfP2hmi8ZwbGxu1e/fuiNwrXFENtAzDiMg1drOGI8ePH1dOTk5In62vrzdfZ2ZmRqyOpqYmtbe3hzQY3uv1mkFVd3U8++yz+tvf/iZJKioq0m233RZWrXAG6wmHaS71KcyKN3mW/znVtZ/8N8rlStzfCQAAAACSUdT3ZYXyRTDevywWFhb6rTtPLexNe3u7Dh8+bK5HjBgRsTp8Pp8OHToU0ueqq6v9BrdZ62hra9ODDz5oru+9916/mVtAd5LphEMp8JTDDkNqio9uWgAAAABAF1H9+nn11VdH5Bq7jR492m+9b98+XXDBBb1+rqqqym9vqfU+4daxf/9+FRQU9Pq5AwcO9HiflpYWHTlyRJKUkpKie++9t091vfDCC3r77bfN9T//8z9r5syZfboHEpO1QyvHbU8dkWINtKSTXVpZCR7UAQAAAECyierXtIceeigi19ht9OjR8ng85kC19957T9/5znd6/dw777zjtz7rrLPCqmPcuHF+63fffVcXXnhhROvw+Xzav39/n+pqampSU1OTue66zRLJrSHJOrRyUiWXpK4boY+1S4XdfQAAAAAAYAuOggvBwIEDVVxcbK537NgR0uyvHTt2mK8zMjI0ceLEsOoYNWqU36D2rvcPtY6ioqKEHfaO+JNsHVopLldAKFfXHvxaAAAAAIB9EryfInamTZtmBkNVVVV64403NGnSpG6vb2ho0AsvvGCuJ0+eHJG5VJdccomefPJJSdLOnTtVWVmpoqKibq+vrKzUrl27zPXUqVMDrsnJyenzKQVdu8WuvvpqPfzww336PJJDss3Qkk5uOzzeJcQi0AIAAACA+EOHVohmzJih3Nxcc71s2TK1t3f/TfcXv/iF38mCs2fP7vbaqVOnaty4cRo3blzQwKmr6667Th6PR9LJ09ceeeSRHq/vGjR5PB5df/31PV4P9IW1Qys7wTu0pMA5WgRaAAAAABB/CLRClJ2drblz55rrDz/8UEuWLDHnanW1bt06rV+/3lxPnjw57O2GnUaOHOk3cH3btm169NFHA7ZAGoahpUuX6uWXXzbfmzVrVtgnLQJdWTu0spOgQyuPQAsAAAAA4l5Cfv385JNP9Morr6iqqkoej0df+MIX9I//+I8aPHhwVH/uLbfcotdee01vvvmmJGnLli0qLS3VlVdeqcLCQtXW1mrr1q0qKyszPzN06FDdf//9Ea1j0aJFKi0t1d69eyVJq1at0iuvvKJLL71U+fn5OnTokJ599llVVFSYnznzzDNVUlIS0TqAhiSboSXRoQUAAAAAicD2QKuyslJ/+9vfJEkul0vXXnttt7Om2tvbdf/99+sPf/hDQEfSww8/rB/84Ae68cYbo1arx+PRihUrNH/+fPPkwKqqKq1cuTLo9cOGDdPjjz+u008/PaJ1ZGVlaeXKlZo3b54ZWpWXl2vFihVBrx89erRWrlyprKysiNYBJNsph1JgoHUssAkTAAAAAGAz27ccrlmzRg899JAeeughPf/88z0OTn/ggQf0+9//Xj6fzy/QMgxDLS0teuCBB7RmzZqo1pubm6v169fr7rvv1tChQ4Nek5GRoWuuuUZbtmzROeecE5U6CgsLtXnzZs2ZM8dvtpe11jlz5mjz5s0qLCyMSh1wtoBTDpMg0MqlQwsAAAAA4p7tXz9fffVVGYYhl8ula665ptvrPvjgA23YsEEul0vSyRCra6jlcrlkGIaWL1+ub3zjGxozZkzUana73Zo/f77mzp2r0tJS7du3T0ePHlVOTo6GDx+u4uJiZWZmhny/bdu29auO9PR0LV68WHfddZd27typqqoqHTt2THl5eSooKFBxcXFETlYMpq+nIiI5BZxymIRbDo8TaAEAAABA3LE10KqurlZ1dbW5vvjii7u9trPzqjP8+s53vqNvf/vbysrK0pYtW/Tkk09Kkjo6OvTEE0/0evpfJLjdbhUXF6u4uDjqP6snaWlpuuiii2ytAc6UjB1azNACAAAAgPhn69fPTz75RNLJ7qrhw4d3O9S9paVF27ZtM7uzZs6cqZ/+9Kfmn48bN05ut1u//vWvJUkvvviifvrTn0atOwnASQGnHCZBh1aex39NoAUAAAAA8cfWGVqff/65+foLX/hCt9e9/fbbOnHihLnFcN68eQHXzJs3T6mpJ/O5EydO6OOPP45wtQCsAjq0kiDQokMLAAAAAOKfrYFWQ0OD+TonJ6fb69566y1JJzu5zjzzTBUVFQVck5WVpfHjx5vrzu4vANHR7jN0wuf/HlsOAQAAAACxYGug1dLSYr72eDzdXldaWmq+njRpUrfXnXHGGebr48ePh1kdgJ40dAS+l6yBlq/LARQAAAAAAPvZGmhlZGSYr7t2a3XV1tam9957z1xPnDix2/t1nZl14sSJCFQIoDvW+VlScm45NBQ8vAMAAAAA2MfWQGvQoEHm608//TToNW+99Zba2trM9Ze//OVu79c1FBs4cGD4BQLolnV+lktSZhIGWhLbDgEAAAAg3tgaaI0dO1aSZBiG9u3bp8rKyoBrnn32WUkn52eNHj2625MQJammpsZ83TUsAxB51kAryy2l/O9JpIksyx34DyOBFgAAAADEF1sDrXHjxik3N1eu//0S/OCDD6q9/dQ3x7KyMm3ZssX882984xvd3qu9vV179+4114WFhVGqGoAUuOUwGeZnSSdDOWuX1jGvPbUAAAAAAIKz9Suox+PRlVdeqaeeekoul0vbt2/XVVddpYsvvljHjh3T888/r46ODhmGoZSUFM2cObPbe7333nvm1kSXy6WzzjorVr8G4EjWDq3cJNhu2GlQqlTb5fejQwsAAAAA4ovtPRX/8i//oi1btqi+vl6S9Mknn6iiokLSya2ILpdLLpdLl156qc4888xu7/PXv/5V0qmtiTk5OdEvHnCw40naoSVJgz1SxalDWP3CLQAAAACA/WzdcihJgwcP1hNPPKGcnBwzwOrKMAx98Ytf1H333dftPdra2vTcc8+Zn/3a174W1ZoBBHZoJcMJh50GW8K5WrYcAgAAAEBciYueinPPPVd/+ctf9Jvf/EavvvqqDh48KEkqKirSpZdeqtmzZys9Pb3bz//5z3/WkSNHzPUll1wS9ZoBpztu3XIYF/+aRMZgj/+aQAsAAAAA4kvcfAUdPHiwFi9erMWLF/f5s5dccokuvPBCcz18+PBIlgYgCOtQ+Oy4+dckfHnWQIsthwAAAAAQV5LiK2heXp7y8vLsLgNwlIZk7tDilEMAAAAAiGu2z9ACkJisWw6TaoYWHVoAAAAAENcItAD0i3XLYVKdcshQeAAAAACIawRaAPrFUUPh6dACAAAAgLgSl19BW1patGfPHtXW1qqxsVHt7X3/Nvntb3878oUBMNUn85ZDOrQAAAAAIK7FTaDV3t6uTZs26Y9//KM+/PBD+Xy+sO5HoAVE13HLlsNk6tCynnLY0CF5fYY8KS57CgIAAAAA+ImLr6CffPKJ7rzzTpWXl0uSDMPo131cLpcMw5DLxZdOINqc1KElSXXt0tC02NcCAAAAAAhke6BVXV2tm2++WUeOHAk7jOpvEAagb7w+QycsTZTJ3KElnZyjRaAFAAAAAPHB9q+gjz76qA4fPiyXy2V2WJ133nm6+OKLNXr0aGVnZys11fYyAXRhPeFQSq5TDgekuJTpNtTU5fdkjhYAAAAAxA9bv4LW1dXpL3/5ixlk5ebm6mc/+5kuuugiO8sC0AvrdkMpubYcSie3HRJoAQAAAEB8SrHzh7/11lvy+XzmVsOlS5cSZgEJ4Lgl0EqRlJlsgZZl22Ft3w9bBQAAAABEia2B1qFDhySdHOY+cuRIXXzxxXaWAyBE1i2HOalKusMYrIPh6dACAAAAgPhha6DV0tJivh43bpyNlQDoC2uHVjINhO9EhxYAAAAAxC9bA638/HzzNYPfgcRhnaGVbPOzJCmPDi0AAAAAiFu2BlqjR482X1dXV9tYCYC+sG45dEKH1jE6tAAAAAAgbtgaaJ1zzjkaM2aMDMPQ+++/r8bGRjvLARAi65bDZOzQYoYWAAAAAMQvWwMtSZo3b54kqb29XatWrbK5GgChCNhymIQdWnl0aAEAAABA3LI90Pr2t7+tGTNmyDAM/eY3v9Ff//pXu0sC0IvjQU45TDZ0aAEAAABA/LI90JKkBx54QN/5znfU0dGhu+66S/fdd58+++wzu8sC0I0GJ2w55JRDAAAAAIhbtvdV/PCHPzRfDxo0SHV1dfr973+v3//+9xo1apTGjBmj7OxsuVyukO/pcrn04IMPRqNcAAqcoeWIofBeyWcYSunDv0UAAAAAgOiw/Wvo5s2b/cIql8slwzAkSZWVldq3b1+f7mcYBoEWEGXWUw6dsOXQp5OzwwZ5gl4OAAAAAIihuNhyaOVyucz/AxB/rEPhndChJbHtEAAAAADiRVx8De3syAKQGKxbDpNxhlZGipTmktq6/PNU65VGD7SvJgAAAADASbYHWh9//LHdJQDoIydsOXS5XBrsMVTdduo9OrQAAAAAID7E5ZZDAPHLMAxHDIWXAudo1XrtqQMAAAAA4I9AC0CftPokr2WXcDJuOZQC52jRoQUAAAAA8YFAC0CfHO8IfC9pO7QsgdYxOrQAAAAAIC4QaAHoE+sJh1LydmjlWbcc0qEFAAAAAHEhrvsqvF6vampqdPz4cTU3N8swDBUXF9tdFuBo1oHwaS4p3e2yp5goswZadGgBAAAAQHyIu0Crrq5Of/jDH/TKK6/ogw8+kNd76huky+XSRx99FPCZDz74QB9++KEkKTs7W5dddlnM6gWcxjoQPhlPOOzEDC0AAAAAiE9x9VX0iSee0K9+9Su1trZKOnmaWihSU1N17733yuVyyeVy6dxzz1VBQUE0SwUcy7rlMFm3G0pBAi06tAAAAAAgLsTFDK22tjbNnTtXP//5z9XS0iLJP8xyuXreznT22WeruLhYhmHIMAz96U9/ima5gKNZO7SSdSC8JA22ztAi0AIAAACAuBAXgdaiRYv02muv+YVYX/va17Rw4ULdeeedIXVqXXrppebr7du3R6VOAIEztNhyCAAAAACINdsDrZdeeknPP/+8uV1w3LhxeuaZZ/Tb3/5WCxcu1JVXXhnSfaZOnSrpZGfXBx98oObm5miWDTiWdcuh0zq0Qt0KDQAAAACIHtsDrV/+8pfm67Fjx2r9+vU666yz+nyf008/XYMHD5YkdXR0qLy8PGI1AjglYCi8g2ZotRlSs8+eWgAAAAAAp9gaaFVXV+t//ud/zPW9996rrKysft9vzJgx5utPP/00rNoABGfdcpjtoA4tiTlaAAAAABAPbA203nnnHUknh74XFhZq4sSJYd1v0KBB5uvjx4+HdS8AwQVsOUziDq2c1MB/JI8xRwsAAAAAbGdroHXkyBHzdX+2GVoNHDjQfH3ixImw7wcgkDXQSuah8Ckul/Ksg+Hp0AIAAAAA29kaaHUNnbqGUf3V0NAQ0fsBCHTcsuUwmYfCS1KedTA8HVoAAAAAYDtbA628vDzz9bFjx8K+32effWa+7rr9EEDkBHRoJfGWQyn4SYcAAAAAAHvZGmgNGzZMkmQYhj766KOw7lVbW+t3smFRUVFY9wMQnHUofLJ3aFlPOiTQAgAAAAD72RpoffnLX5bbfbK9o66uTq+99lq/7/X73/9ehmFIkrKysnTOOedEpEYA/o47aIaWFCTQYsshAAAAANjO1kArOztbX/7yl831smXL1NbW1uf7VFRU6De/+Y1cLpdcLpcuvvhipaTY+qsBSckwDMdtOQyYoUWHFgAAAADYzvbUZ8GCBebr3bt36/bbb1dzc3PIn//44481d+5ctbS0yDAMuVwu3XbbbdEoFXC8pg7JZ3nPaVsOj9GhBQAAAAC2sz3QuuiiizRlyhRzu+Crr76qSy+9VE899ZRqamq6/VxZWZl+8pOf6Dvf+Y4OHjxohlnXXHONzjrrrFiVDziKdX6W5IAth3RoAQAAAEDciYuvosuWLdMNN9ygjz/+WC6XS4cOHdIDDzygBx54QNnZ2X7XXn311dq/f7/ZxdUZZEnShAkTdM8998S8fsAprPOzpOTfcsgMLQAAAACIP7Z3aElSZmam1qxZo8mTJ/sFVIZhqL6+3pyNJUn/8z//o6amJrOjy+VyyTAMfeMb39CqVavk8Xi6/TkAwmOdnzUwRfKkuOwpJkasHVrH6NACAAAAANvFRaAlSXl5efrNb36jn/zkJyosLDQDK6uu4ZZhGBo6dKj+7d/+Tb/+9a8DurkARJZ1y2Gyz8+S6NACAAAAgHgUd19Hv/e97+m73/2utm/frjfffFOlpaU6dOiQ6urq1N7ertzcXA0ZMkTnnnuuJk2apKlTpyotLc3usgFHsG45TPbthlJgoNXYIbX5DKUleWcaAAAAAMSzuAu0JCklJUUXX3yxLr74YrtLAdCFtUMr2QfCS1JekN/xWLuUT44OAAAAALaJmy2HAOKftUPLCVsOgwVanHQIAAAAAPYi0AIQMutQeCdsOfSkuJRt+T0JtAAAAADAXnHVX1FVVaWDBw+qrq5OLS0tkqT09HTl5eVp+PDhOuOMM2yuEHA2J3ZoSSfnaDV02W7JYHgAAAAAsJetX0ePHTumLVu26JVXXlFZWZmampp6vD4rK0vnnnuuvvnNb+qKK67QoEGDYlMoAEmBM7SynRJopUr7uqzp0AIAAAAAe9nydfT48eNasWKF/vCHP8jrPfnN0DCMXj/X0NCg119/Xa+//roeffRRffe739XChQuVm5sb7ZIBSGqwdmg5YMuhFHjSIR1aAAAAAGCvmM/Q2rVrl6688kqtX79ebW1tZpDlcrn8/q9TsPcNw1Bra6ueeuopzZgxQ2+//Xasfw3AkaxbDp1wyqF0skOrKzq0AAAAAMBeMf06umPHDv3Lv/yLOR+ra0DVuR4yZIhycnKUk5Mjn8+nhoYGNTQ06OjRo37XdX7u0KFDuvXWW/X444/rwgsvjOWvI5/Pp9LSUu3fv19HjhxRTk6Ohg8fruLiYmVkZMSsjra2Nu3atUtVVVWqra3V4MGDVVBQoIkTJyotLa1f9zxx4oTKy8v12WefqaamRidOnFBKSopyc3M1atQonXPOOcrKyorwb4J4Z91y6JRAK8/SoXWMDi0AAAAAsFXMvo4eOHBAd9xxh1paWvwCqcGDB+uaa67R1772NU2YMKHbkKS+vl5lZWX6+9//rqefflrHjh0z79PS0qI77rhDTz/9tEaMGBH136Wjo0OrV6/WunXrVFNTE/DnGRkZuvzyy1VSUhLV7ZAtLS167LHH9PTTT6uuri7gzwcNGqRZs2bp9ttvV3p6eq/327dvn5544gmVlpaqsrJSPp+v22tTU1N18cUX67bbbtN5550Xxm+BRBIwFN4pWw4t/1Ieo0MLAAAAAGwVsy2HP/nJT9TQ0CCXyyXDMOTxePSjH/1Ir7zyiu6++25NmjSpx46fnJwcff3rX9cPfvADvfrqq1qyZIk8nlNtE/X19brvvvui/nvU19frxhtv1PLly4OGWZLU3NysjRs3asaMGfroo4+iUkdVVZVmzZql1atXBw2zJKmurk6rV6/WrFmzVFVV1es99+7dq02bNqmioqLHMEuS2tvb9dJLL+l73/ueHn300f78CkhATu3QYoYWAAAAAMSXmHwd3blzp15//XUzzDrttNO0atUqnX322f26X1pamm6++WZdcMEFmjdvnmpra2UYhl5//XXt3LlTxcXFEf4NTmpvb9cdd9yh0tJS870zzjhDM2bMUEFBgWpra7V161a9//77kqTq6mrNnz9fmzZtUn5+fsTqaGxs1IIFC1ReXm6+N2bMGF122WXKz89XdXW1nnvuOVVUVEiSysvLtWDBAm3YsCHkbYKDBw/WueeeqzFjxmj48OHKzMzUiRMntH//fr3++uvas2ePpJNddqtWrZLL5dIPfvCDiP2OiE8BHVoODbSO0qEFAAAAALaKydfRdevWSToZfqSmpupnP/tZv8OsrsaPH6+f/exnmjNnjtlR9NRTT0Ut0FqzZo127Nhhrq+44go99NBDfnOqFixYoLVr1+rBBx+UYRiqqanRPffcoyeeeCJidSxbtswMlCTp1ltvVUlJid8w/YULF2rp0qV68sknJUl79uzR8uXLde+993Z732HDhun73/++pkyZojPPPLPHGp577jn96Ec/0okTJyRJq1ev1uWXX64vfvGL4fxqiGMdhqFGa4eWQ7YcDrH8S3mEQAsAAAAAbBX1LYdNTU165ZVXzFMKv/e97+mCCy6I2P2/+tWv6nvf+54Mw5BhGHr11VfV3Nwcsft3amxs1KpVq8z1+PHj9cgjjwQduj579mzdcMMN5vrVV1+N2EmMBw4c0KZNm8z1lClTtGjRIr8wSzo5OH/x4sWaMmWK+d7GjRt14MCBbu89YcIE3Xbbbb2GWZJ02WWX6T/+4z/Mtc/n0x//+Me+/CpIMNYwS3JOh9Zplg4tAi0AAAAAsFfUA61du3apra1NhmEoJSVFN910U8R/xs0336yUlJO/Smtrq3bt2hXxn/HMM8/4zaoqKSlRamr33+bvvPNODRw40FyvXbs2InVs2LBBXu/Jb9Mul0tLlizp8fquf+71erVhw4aI1CGd7FDLy8sz151bLZGcrNsNJefM0Bpqya0bO6SWDsOeYgAAAAAA0Q+03nvvPUknw5fzzz8/KqcQjhgxQueff765fueddyL+M1566SXzdUFBgS688MIer8/Oztb06dPN9fbt29XW1hbROoqLi1VUVNTj9UVFRX5bMLt+PlwpKSkaNWqUuT527FjE7o34Ux8k0MpyyJZDa4eWJB2mSwsAAAAAbBP1QKvr4PLzzjsvaj+na6D1ySefRPTeLS0teuutt8z1pEmTArb4BTNp0iTzdVNTU9jbDvft26fKysqg9w+1jsrKSu3fvz+sOrpqamoyX+fm5kbsvog/1g6tbLfkDuF/B8lgUKrktvyqbDsEAAAAAPtEPdD67LPPzNdf+tKXovZzJkyYEPRnRkJFRYW5zU8KPZjrGrJJ0u7du8Oqo+sg+HDqsN6nv6qqqvzCw6985SsRuS/iU711ILxDthtKUorLFdClRYcWAAAAANgn6oHWkSNHzNdDhgyJ2s8ZPHiwpJMnKR4+fDii97Z2fI0cOTKkzxUUFMjtPrUnq6KiwpY6rNs8I9HB1tLSoh/+8Ifm6ZIDBgzQ9ddfH/Z9Eb+sHVq5Dtlu2Ckg0Ap/BzEAAAAAoJ+i3mPR0NBgvs7JyYnaz+l678bGxoje29rxNXz48JA+53a7NWzYMB08eFCSejxhsK91pKSkKD8/P6TP5efnKyUlxQyf+ltHS0uLqqqq9Pe//12//e1vza2LLpdL9913X1TmoyF+OLlDS5KGctIhAAAAAMSNqH8l7bpVLzMzM2o/p+u9IzF8vStrQNaXWVHZ2dlmoNV13lS4dWRmZvZ4ymJXHo9HAwcONH9+qHWsWLFCv/zlL3u8pqioSP/+7/+uyZMnh3RPJC7rUPgch3VoWQMtthwCAAAAgH2iHmi1t5/6FhzKIPVI6OxEipTm5ma/9YABA0L+bHp6erf3CaeOvtTQWUdnkBVuHZ2+9a1v6d/+7d9C7liLlfLycqWkRH03rePsbc6XNMxcG011KisLr+tQOhV6e71elZWVhX2/qGk8Q9KpbdN7qo+qrPFz++pJQAnzrBE2nrVz8KydgefsHDxr5+BZO0M0nnOk85ZwOGzTUP+0trb6rT0eTzdXBkpLSzNft7S0RKyOvtTQ3zpyc3PNOV2GYaixsVF1dXUyDEOS9OKLL+qVV17RjTfeqLvvvtvvZ9ipo6NDHR0dvV+IPrFuOcww2v06MCMh0veLpFzDv/PzaEdKXNcb7/hv5xw8a+fgWTsDz9k5eNbOwbN2hmR8zgRaIbB2Q3m93pA7pLpuf+zarRVuHX39y9ifOmbPnq3Zs2f7vdfQ0KAdO3Zo9erVeu+99+T1erVmzRrt3r1bv/71r+Mi1HK73XRoRUFzq3+ImuM2+hysBtP173Ik7hctQ9oNqUumdVxpcV1vPEqUZ43w8aydg2ftDDxn5+BZOwfP2hmi8Zx9Pl/cNJDENNCK1ZbDSMvIyPBbt7a2hhxode2Gst4nnDqsXWOxqiM7O1vTp0/Xt771LT344INat26dJGnHjh36z//8T9111139vnekjB07VllZWXaXkXRS3zekLn/tRp8+VBO+MKz7D4SorKxMXq9XHo9HEyZMCPt+0fLRIUP66NT6RFpmXNcbjxLlWSN8PGvn4Fk7A8/ZOXjWzsGzdoZoPOfGxkbt3r07IvcKV0wCrc4g67rrrpPbHZ1J0tFMCK3hyPHjx0M+sbG+vt58He5Q/K51NDU1qb29PaTB8F6vVydOnIhYHdLJUxb/7d/+TWVlZXrvvfckSWvXrtXcuXOVnZ0d9v0Rf45bhsLnOqy/k6HwAAAAABA/YvaV1DAMVVdXR/VnuFwuc75TJBUWFvqtDx48qBEjRvT6ufb2dh0+fNhch/KZUOvw+Xw6dOiQCgoKev1cdXW13+C2cOvo5HK5dP3115uBVnNzs958801NmzYtIvdHfLHO0MpxWKB1mmU37VGv1GEYcido5ykAAAAAJLKYDRpyuVxR/79oGT16tN963759IX2uqqrKr3PMep9w69i/f39InztwwP8kunDr6Orss8/uV01IPHWWDq1BDgu0rB1ahqRjdGkBAAAAgC1iEmgZhhGz/4uG0aNH+w1Q6+xI6s0777zjtz7rrLPCqmPcuHF+63fffdeWOrqyDpaLl+FwiDynB1qnBZmhyLZDAAAAALBH1L+SvvTSS9H+EVE3cOBAFRcXa8eOHZJODkA3DKPXrrDO66WTg9gnTpwYVh2jRo3SqFGjzA6xHTt26J//+Z97/VzXOoqKijRq1Kiw6uiqqqrKb33aaadF7N6IH4ZhOD7QSktxKcdt+G29POyVvmhfSQAAAADgWFH/ShrKjKdEMG3aNDMYqqqq0htvvKFJkyZ1e31DQ4NeeOEFcz158mSlpaV1e32oLrnkEj355JOSpJ07d6qyslJFRUXdXl9ZWaldu3aZ66lTp4ZdQ1cvvvii33r8+PERvT/iQ7NParc0QDot0JKkoWlS/anzFXSEDi0AAAAAsEXMZmgluhkzZig3N9dcL1u2TO3t7d1e/4tf/MLvZMHZs2d3e+3UqVM1btw4jRs3rtfA6brrrjO3+RmGoUceeaTH6x9++GHztcfj0fXXXx/0Oq/XK6+3b9/O3377bf3xj38010VFRQHbIpEcrN1ZkkMDLetJh2321AEAAAAATkegFaLs7GzNnTvXXH/44YdasmRJ0BBo3bp1Wr9+vbmePHly2NsNO40cOVIzZ84019u2bdOjjz4aMD/MMAwtXbpUL7/8svnerFmzuj3h8NChQ5o+fbrWr1+vY8eO9VhDe3u7/vCHP2jevHl+od73v//9/vxKSADBAq0cd+zrsJt1jhYztAAAAADAHg7ssei/W265Ra+99prefPNNSdKWLVtUWlqqK6+8UoWFhaqtrdXWrVtVVlZmfmbo0KG6//77I1rHokWLVFpaqr1790qSVq1apVdeeUWXXnqp8vPzdejQIT377LOqqKgwP3PmmWeqpKSkx/tWVVXpP/7jP/Tggw9qwoQJ+od/+AcVFBQoOztbhmHo+PHj2rt3r7Zv366jR4/6ffaf/umf9I//+I8R/T0RP+oswU22W0pNid7JovHKGmix5RAAAAAA7EGg1Qcej0crVqzQ/PnzzZMDq6qqtHLlyqDXDxs2TI8//rhOP/30iNaRlZWllStXat68eWZoVV5erhUrVgS9fvTo0Vq5cqWysrJCun97e7tKS0tVWlra67UDBgzQwoULddttt4X+CyDhOH0gfCcCLQAAAACID2w57KPc3FytX79ed999t4YOHRr0moyMDF1zzTXasmWLzjnnnKjUUVhYqM2bN2vOnDl+s72stc6ZM0ebN29WYWFhj/cbOnSofvSjH+nrX/+6MjMze/35gwcP1uzZs7VlyxbCLAcg0DppqOVcB2ZoAQAAAIA9HPq1NDxut1vz58/X3LlzVVpaqn379uno0aPKycnR8OHDVVxcHFIo1Gnbtm39qiM9PV2LFy/WXXfdpZ07d6qqqkrHjh1TXl6eCgoKVFxcHPLJigMGDNBNN92km266ST6fTxUVFaqsrNTBgwfV1NQkl8ulrKwsDR48WF/84hc1atQouVzO23LmVARaJ1mHwtOhBQAAAAD2cOjX0shwu90qLi5WcXGxrXWkpaXpoosuitj9UlJSNHbsWI0dOzZi90RiI9A6iaHwAAAAABAf2HIIoFfHCLQkBXZoHfYq4IRRAAAAAED0EWgB6JW1QyvXqYGWZQdvq09q6rCnFgAAAABwMgItAL06bgm08jzBr0t21i2HEtsOAQAAAMAOBFoAesUMrZOy3VKa5SwEAi0AAAAAiD0CLQC9ItA6yeVyBXRpcdIhAAAAAMQegRaAXhFonWKdo3W4zZ46AAAAAMDJCLQA9IpA6xTrSYd0aAEAAABA7BFoAeiRYRgEWl1YtxwyQwsAAAAAYo9AC0CPmjqkDsP/PQKtUwi0AAAAACD2CLQA9MjanSU5O9CyztA6SqAFAAAAADFHoAWgR8ECrRwHB1oBHVoMhQcAAACAmCPQAtAja6CV45bcLpc9xcQB61B4thwCAAAAQOwRaAHoEQPh/XHKIQAAAADYj0ALQI+OEWj5Oc0yQ6uuXfL6jOAXAwAAAACigkALQI/o0PJn7dCS6NICAAAAgFgj0ALQo4BAK0ig4ySDgwR6BFoAAAAAEFsEWgB6RIeWv9QUV0CoxWB4AAAAAIgtAi0APSLQCjTUMkfrcJs9dQAAAACAUxFoAejRcQKtAKdx0iEAAAAA2IpAC0CP6ixhDYFW4GB4thwCAAAAQGwRaAHoEVsOA1k7tAi0AAAAACC2CLQA9IhAK5A10DpKoAUAAAAAMUWgBaBHBFqBGAoPAAAAAPYi0ALQLcMwCLSCYMshAAAAANiLQAtAtxo7JJ/lPQKtwKHwnHIIAAAAALFFoAWgW9buLIlASwrccnjEe7KbDQAAAAAQGwRaALplDbRcknIItAK2HLYbwcM/AAAAAEB0EGgB6NYxS0iTkyqluFz2FBNHrFsOJbYdAgAAAEAsEWgB6BYD4YPLcLuUYfnXk8HwAAAAABA7BFoAukWg1b2Akw7b7KkDAAAAAJyIQAtAtwi0ujfMMhj+EB1aAAAAABAzBFoAulVnCWkItE4Zbgm0DrbaUwcAAAAAOBGBFoBuWTu08gi0TKcP8F8fZMshAAAAAMQMgRaAblkDrVwCLdPp1i2HBFoAAAAAEDMEWgC6dZwZWt1iyyEAAAAA2IdAC0C3GArfvYBAiw4tAAAAAIgZAi0A3SLQ6t5wywyt6jbJMAx7igEAAAAAhyHQAtAtAq3uWTu0vIZ01Bv8WgAAAABAZBFoAegWgVb38tMC32PbIQAAAADEBoEWgKB8hhE4FN5jTy3xKC3FpSGW/x7VBFoAAAAAEBMEWgCCauiQfJb36NDyx2B4AAAAALAHgRaAoKzbDSUCLauAQKvVnjoAAAAAwGkItAAEZQ20XJKy3baUEresJx3SoQUAAAAAsUGgBSCoOsuJfbmpUorLZU8xcep0S4cWM7QAAAAAIDYItAAExQmHvbNuOaxmyyEAAAAAxASBFoCgCLR6Z+3QYsshAAAAAMQGgRaAoAi0escMLQAAAACwB4EWgKCsgVYegVYA65bDxg6psd2wpxgAAAAAcBACLQBBWQOtXAKtANZAS6JLCwAAAABigUALQFDH2XLYq6xUl7Lc/u8RaAEAAABA9BFoAQiKGVqhsQ6GrybQAgAAAICoI9ACEFRAoOWxp454Z912eLDVnjoAAAAAwEkItAAERYdWaDjpEAAAAABij0ALQFAEWqFhyyEAAAAAxB6BFoCgjhFohYQthwAAAAAQewRaAAL4DEP1BFohYcshAAAAAMQegRaAAPXtkmF5j0ArOLYcAgAAAEDsEWgBCGCdnyURaHXHuuXwiFdq81njQAAAAABAJBFoAQhgDbRSJGW5bSkl7lkDLUk6RJcWAAAAAEQVgRaAANZAKzdVSnG57Ckmzg3xSB7LfxrmaAEAAABAdBFoAQhgDbTYbtg9l8sVMEeLkw4BAAAAILoItAAEOOr1X+cRaPXIuu2QDi0AAAAAiC4CLQABrIHWEI89dSSK0wf4rznpEAAAAACii0ALQICjli2HBFo9C9hySKAFAAAAAFFFoAUggLVDazCBVo+sWw6rmaEFAAAAAFFFoAUgQC1bDvtkuGXLIR1aAAAAABBdBFoAAjBDq28YCg8AAAAAsUWgBSBAQKDFKYc9sgZah9okn2HYUwwAAAAAOACBFoAADIXvG+tQ+HYjMBQEAAAAAEQOgRYAP4ZhsOWwj/LTJJflPbYdAgAAAED0sJEoDD6fT6Wlpdq/f7+OHDminJwcDR8+XMXFxcrIyIhZHW1tbdq1a5eqqqpUW1urwYMHq6CgQBMnTlRaWlrvNwiio6NDn376qfbs2aOamhqdOHFCWVlZOu2003TuuefqjDPOiPBvgXjR0HGyw6grAq2eeVJcOs1j6HCXIPBgqzQhy76aAAAAACCZEWj1Q0dHh1avXq1169appqYm4M8zMjJ0+eWXq6SkRLm5uVGro6WlRY899piefvpp1dXVBfz5oEGDNGvWLN1+++1KT0/v9X6NjY168cUXtW3bNv39739XfX19t9eOGzdON998s66++mq5XNbeFCSyYFvlCLR6NzxN/oEWHVoAAAAAEDUEWn1UX1+v+fPnq7S0tNtrmpubtXHjRm3fvl2PP/64xo8fH/E6qqqqdNttt6m8vLzba+rq6rR69Wq9+uqreuKJJ1RQUNDttfX19brooovU1hbat/Ddu3frhz/8of785z/r5z//ufLy8vr8OyA+WQOtVJeU47anlkQyfIBU1nRqTaAFAAAAANFDoNUH7e3tuuOOO/zCrDPOOEMzZsxQQUGBamtrtXXrVr3//vuSpOrqas2fP1+bNm1Sfn5+xOpobGzUggUL/MKsMWPG6LLLLlN+fr6qq6v13HPPqaKiQpJUXl6uBQsWaMOGDcrKCr4Hqr29PSDMGj16tC644AKNGjVKubm5qq+v1zvvvKNt27bJ6z2Zerzxxhu69dZb9dRTT8V0myWip9YyEH5wqujCC4F1MHw1gRYAAAAARA2BVh+sWbNGO3bsMNdXXHGFHnroIb85VQsWLNDatWv14IMPyjAM1dTU6J577tETTzwRsTqWLVumPXv2mOtbb71VJSUlfqHDwoULtXTpUj355JOSpD179mj58uW69957e7x3Tk6OZs2ape985zsaM2ZMwJ/fcsstqqys1O23367du3dLkj788EP953/+p0pKSiLx68FmDITvn4BAq9WeOgAAAADACTjlMESNjY1atWqVuR4/frweeeSRoEPXZ8+erRtuuMFcv/rqq3r77bcjUseBAwe0adMmcz1lyhQtWrQooIPG5XJp8eLFmjJlivnexo0bdeDAgaD39Xg8WrBggV566SUtWbIkaJjVqaioSGvWrNFpp51mvvfUU0/pxIkT/f21EEcItPpn+AD/NVsOAQAAACB6CLRC9Mwzz/gNXi8pKVFqavcNbnfeeacGDhxorteuXRuROjZs2GBu93O5XFqyZEmP13f9c6/Xqw0bNgS9Ljs7W3fddZdycnJCqmPIkCG6+eabzXVLS4vefPPNkD6L+Eag1T/DLdn253RoAQAAAEDUEGiF6KWXXjJfFxQU6MILL+zx+uzsbE2fPt1cb9++PeSB66HWUVxcrKKioh6vLyoqUnFxcdDPh+urX/2q37q77i8kFmugNZhAKySFlg6tz1oln2HYUwwAAAAAJDkCrRC0tLTorbfeMteTJk0KaUj2pEmTzNdNTU1hbzvct2+fKisrg94/1DoqKyu1f//+sOrolJmZ6bdmy2FysA6FH8KkvZCMSvdftxnSIbYdAgAAAEBUEGiFoKKiwtzmJ0nnnXdeSJ87//zz/dadQ9T7q+sg+HDqsN6nvz777DO/9ZAhQyJyX9iLLYf9c3qa5LHk3Pta7KkFAAAAAJIdgVYIPvnkE7/1yJEjQ/pcQUGB3G63ua6oqLCljhEjRvR4n/6ybl8MNWBDfCPQ6p8Ul0sjLNsOCbQAAAAAIDoItEJg7UQaPnx4SJ9zu90aNmyYuQ53xlTXOlJSUpSfnx/S5/Lz85WScupRR2LWVU1NjbZs2WKuzzrrrB5PRkTiINDqP+u2QwItAAAAAIgOAq0QNDY2+q1zc3ND/mx2drb5uqmpKWJ1ZGZm9njKYlcej8fvxMVw65Ck//iP/1Bzc7O5XrhwYdj3RHwg0Oo/a6C1n5MOAQAAACAqGPccgq7BjSQNGDCgmysDpaef+oZrvU84dfSlhs46OoOscOt46qmn9OKLL5rrr3/9634nOtqtvLzcryMNofMaUn3Hl/zeO1KxR2Wp0UtmOufTeb1elZWVRe3nxMKA5mGSTnVOflBTr7KWffYVFGeS6VmjZzxr5+BZOwPP2Tl41s7Bs3aGaDxnn88XkftEAoFWCFpb/b/Mezyht6ykpaWZr1tawtt/1LWOvtQQyTreeOMNPfTQQ+Y6Ly/Pbx0POjo61NHRYXcZCemoL/CfhMyOFnmN9iBXR17XwxcS0TDD/39bn3d4Ev53ihb+uzgHz9o5eNbOwHN2Dp61c/CsnSEZnzOBVgis3VBerzfkDqm2tjbzdddurXDr6OtfxkjU8dFHH2nhwoVqbz8ZbqSlpen//t//6zcnLB643W46tPqpqT3w7/VpaSnyuKK377Dr3+W+BrXxplAdUpdMq9pIS/jfKZKS6VmjZzxr5+BZOwPP2Tl41s7Bs3aGaDxnn88XNw0kBFohyMjI8Fu3traGHGh17Yay3iecOqxdY9Gu49NPP9XcuXPNOV6pqan6+c9/rq9+9at9vle0jR07VllZWXaXkZCO1xnSO6fW2W7pK+d+qfsPREBZWZm8Xq88Ho8mTJgQ1Z8VbRnNhvTmqXWj4dao8V9SbqrLvqLiSDI9a/SMZ+0cPGtn4Dk7B8/aOXjWzhCN59zY2Kjdu3dH5F7hoo0lBNZw5Pjx4yF/tr6+3nydmZkZsTqamprMTqneeL1enThxot91fP7557rlllt09OhRSZLL5dIDDzygadOm9ek+iH8MhA/PiCDNj5x0CAAAAACRR6AVgsLCQr/1wYMHQ/pce3u7Dh8+bK5HjBgRsTp8Pp8OHToU0ueqq6v9Brf1pY6amhrdfPPNfr/zj3/8Y337298O+R5IHARa4RmQ4tLpaf7vEWgBAAAAQOQRaIVg9OjRfut9+0I7tayqqspvb6n1PuHWsX///pA+d+DAgR7v053a2lrNmTPH7/ctKSnR9ddfH9LnkXgCAi02JffZKEuXFoEWAAAAAEQegVYIRo8e7TdA7b333gvpc++8847f+qyzzgqrjnHjxvmt33333ajV0dDQoFtvvVV79+413/v//r//T3Pnzg3pZyIxHbXsYqVDq++sgdZ+Ai0AAAAAiDgCrRAMHDhQxcXF5nrHjh0yDKPXz+3YscN8nZGRoYkTJ4ZVx6hRozRq1Kig9w+1jqKiIr97BNPc3Kx58+bpo48+Mt+75ZZbdPvtt/exYiQaa4fWYAKtPhtpOS9if9/ObwAAAAAAhIBAK0RdB6BXVVXpjTfe6PH6hoYGvfDCC+Z68uTJSktL6+ETobnkkkvM1zt37lRlZWWP11dWVmrXrl3meurUqT1e39bWpn/5l3/x6+q69tprtWTJkv4VjIRSywytsLHlEAAAAACij0ArRDNmzFBubq65XrZsWY+nDP7iF7/wO1lw9uzZ3V47depUjRs3TuPGjes1cLruuuvM7Y+GYeiRRx7p8fqHH37YfO3xeHqcf9Xe3q477rjDL6y76qqrdN999/X4M5A8GAofvpEEWgAAAAAQdQRaIcrOzvabH/Xhhx9qyZIl8nq9AdeuW7dO69evN9eTJ08Oe7thp5EjR2rmzJnmetu2bXr00UcDtkAahqGlS5fq5ZdfNt+bNWtWtyccGoahxYsXa9u2beZ706dP10MPPSSXyxWR2hH/CLTCZ+3Qqm6TWn29b1EGAAAAAISOM8z64JZbbtFrr72mN998U5K0ZcsWlZaW6sorr1RhYaFqa2u1detWlZWVmZ8ZOnSo7r///ojWsWjRIpWWlpoD21etWqVXXnlFl156qfLz83Xo0CE9++yzqqioMD9z5plnqqSkpNt7vv322/rv//5vv/fef/99/Z//839CrmvChAlavnx5H38bxJOAofD8C9Fn1kBLkg60SGMzYl8LAAAAACQrvq72gcfj0YoVKzR//nxzxlRVVZVWrlwZ9Pphw4bp8ccf1+mnnx7ROrKysrRy5UrNmzfPDK3Ky8u1YsWKoNePHj1aK1euVFZWVrf37OjoCHjv888/71Ndkf49EVuGYdChFQG5qS7lpho63iUc3EegBQAAAAARxZbDPsrNzdX69et19913a+jQoUGvycjI0DXXXKMtW7bonHPOiUodhYWF2rx5s+bMmeM328ta65w5c7R582YVFhZGpQ4kj4YOqd2yM45Aq3+sJx3u46RDAAAAAIgoOrT6we12a/78+Zo7d65KS0u1b98+HT16VDk5ORo+fLiKi4uVmZkZ8v26zq3qi/T0dC1evFh33XWXdu7cqaqqKh07dkx5eXkqKChQcXFxyCcrfvWrX9Xu3bv7VQeSg7U7SyLQ6q9R6dL7TafWDIYHAAAAgMgi0AqD2+1WcXGxiouLba0jLS1NF110ka01IPFZA61Ul5TttqeWRGc96fAAgRYAAAAARBRbDgFICn7CISdc9o91MDwdWgAAAAAQWQRaACRxwmEkEWgBAAAAQHQRaAGQFLxDC/1jHQp/oFXyGUbwiwEAAAAAfUagBUASgVYkWTu0vIZU3WZPLQAAAACQjAi0AEgKDLQGE2j1W36alGYZP8a2QwAAAACIHAItAJKkWjq0IibF5Qo46ZBACwAAAAAih0ALgKQgWw4ZCh8WBsMDAAAAQPQQaAGQFOSUQzq0wjLCMhh+f6s9dQAAAABAMiLQAiCJofCRZu3Q2k+HFgAAAABEDIEWAEkEWpHGlkMAAAAAiB4CLQBq8xlq6PB/j0ArPMECLcMw7CkGAAAAAJIMgRaAgBMOJQKtcFlPOWzokI63B78WAAAAANA3BFoAAgbCS9JgTjkMy4gBksvy3j4GwwMAAABARBBoAQiYn5Xjljwp1jgGfZGW4tLwNP/3mKMFAAAAAJFBoAWAgfBRYp2jVXHCnjoAAAAAINkQaAEg0IqSMzP813ua7akDAAAAAJINgRYAAq0oOXOg/5pACwAAAAAig0ALAIFWlIyzdGjtZsshAAAAAEQEgRaAgFMOOeEwMqyBVlWr1Nhu2FMMAAAAACQRAi0AqqVDKyrGDpSsZ0XupUsLAAAAAMJGoAWALYdRMtDtCjjpcDdztAAAAAAgbARaAAi0ougsy2B4Ai0AAAAACB+BFgDVWAKtoQRaEXOWZY4WJx0CAAAAQPgItACH8/qMgA6t09PsqSUZBZx0SKAFAAAAAGEj0AIcztqdJRFoRZI10NpzQjIMTjoEAAAAgHAQaAEOV93mv3a7pMFsOYwYa6DV2CEdbAt+LQAAAAAgNARagMNVt/qv8z1SistlTzFJqGCANNDyLy3bDgEAAAAgPARagMMdYn5WVKW4XAGD4Qm0AAAAACA8BFqAw1k7tAi0Io/B8AAAAAAQWQRagMNZZ2gNI9CKuLMG+q/3EmgBAAAAQFgItACHO2QJtOjQiryALYcn7KkDAAAAAJIFgRbgcAGB1gB76khm1i2Hn56QWn2GPcUAAAAAQBIg0AIczrrlMN9jTx3JzBpo+SR9QpcWAAAAAPQbgRbgcNZAiy2HkZeT6gr478pgeAAAAADoPwItwMFOdBiq7/B/jy2H0WHt0tpDoAUAAAAA/UagBTiYdX6WRIdWtJxpOemQDi0AAAAA6D8CLcDBrNsNB6RIOW57akl2dGgBAAAAQOQQaAEOFmx+lsvlsqeYJGcNtHYzFB4AAAAA+o1AC3Aw65ZDthtGjzXQOuqVjnoNe4oBAAAAgARHoAU4mLVDK59AK2q+kC6lWprfmKMFAAAAAP1DoAU4GIFW7KSmuDTGMhieOVoAAAAA0D8EWoCDseUwtgLmaBFoAQAAAEC/EGgBDkagFVtn0aEFAAAAABFBoAU4GFsOY4sOLQAAAACIDAItwKEMwwgItOjQii5roLXnhNTq46RDAAAAAOgrAi3AoRo7pBM+//cItKLrS1n+63ZD+qjJnloAAAAAIJERaAEOZe3OkthyGG25qS6NTvd/751Ge2oBAAAAgERGoAU4lDXQynJLmW6XPcU4yPnZ/ut3GuypAwAAAAASGYEW4FDMz7LHeZZth+/SoQUAAAAAfUagBTjUIQItW1g7tN5rlHwGg+EBAAAAoC8ItACHsnZoMT8rNs63dGg1dkjlJ+ypBQAAAAASFYEW4FAEWvYYPsAV8N+aOVoAAAAA0DcEWoBD1bDl0DbWLi1OOgQAAACAviHQAhyKDi37BAyGp0MLAAAAAPqEQAtwKE45tI91MPw7jZLBYHgAAAAACBmBFuBAhmFwyqGNrB1ah73S523BrwUAAAAABCLQAhzoWLvktTQEEWjFzpiBUrbb/z0GwwMAAABA6Ai0AAeybjeUpGEEWjGT4nLpXAbDAwAAAEC/EWgBDmQNtPJSpQEpLnuKcSgGwwMAAABA/xFoAQ7EQHj7BRsMDwAAAAAIDYEW4EDWgfD5BFoxd76lQ6uyRTpmHWwGAAAAAAiKQAtwIDq07Dc+U/JYdnm+S5cWAAAAAISEQAtwIDq07JeW4tI5mf7vcdIhAAAAAISGQAtwIGugRYeWPc6zzNGiQwsAAAAAQkOgBTiQdcshHVr2sM7RYjA8AAAAAISGQAtwIGZoxQdroPVxs3Sig8HwAAAAANAbAi3AYToMQ4cJtOLCuVlS17nwHYb0fpNt5QAAAABAwiDQAhzmiFfyWd5jy6E9slJdOnOg/3ulDIYHAAAAgF4RaAEOY91u6JI01GNLKZD0Fctg+DeO21MHAAAAACQSAi3AYapb/ddDPVJqiiv4xYi6Sbn+6+0EWgAAAADQq1S7C0hkPp9PpaWl2r9/v44cOfL/t3fn8U3U+f/AX5M0PdK7SEtbjlqBAgIC0lWQ6gp4ooUFXUWERQQBxdsqfr3W4yeisKjI4oVyyOIKCqwLKteKXCqlXKJQDnvQ0hZa29Iz1/z+SDvNpGk7aXPn9Xw88mg+k89M3sMwycw7nwMRERGIj49HamoqtFqty+LQ6XTIzMxEQUEBysrKEBMTg8TERAwdOhSBgexLRnIcEN6zpEXJyzl1wNk6EV2DmWQkIiIiIiJqCRNa7WA0GrFs2TKsWrUKJSUlzV7XarUYM2YMMjIyEBkZaWMLjlFXV4d3330XX375JcrLy5u9HhUVhQkTJuCRRx5BcHCw4u0ajUacOnUKR48elR7Z2dnQ6/VSne3bt6Nr166O2A1ysTyrFloJQe6Jg8z6hwJRAUC5oWnZrgpgovJTloiIiIiIyO8woWWnyspKzJw5E1lZWS3Wqampwdq1a7Fr1y4sXboU/fr1c3gcBQUFeOCBB3Dq1KkW65SXl2PZsmXYuXMnPvzwQyQmJra53Tlz5mD37t2ora11ZLjkQXLr5OXuTJy4lUoQcE2kiE2lTct2lQMT49wWEhERERERkcdjQssOBoMBjz76qCyZlZCQgPT0dCQmJqKsrAzbtm3D0aNHAQBFRUWYOXMm1q1bh7g4x92dVlVVYdasWbJk1mWXXYZbb70VcXFxKCoqwubNm3HmzBkAwKlTpzBr1iysWbMGYWFhrW77119/ZTLLx+VZJbR6MKHldiMiIU9ocRwtIiIiIiKiVjGhZYdPP/0Ue/fulcq33XYb5s2bJxunatasWVi5ciVef/11iKKIkpISvPDCC/jwww8dFseCBQuQnZ0tle+//35kZGRAEJrG3JkzZw7efPNNfPLJJwCA7OxsLFy4EC+99JLi9wkODkbfvn3Rv39/5Ofn4/vvv3fYPpD7WLfQSmJCy+2sx9E6Vg2U6kV00nAcLSIiIiIiIls4y6FCVVVV+Pjjj6Vyv379MH/+fJuDrk+ZMgWTJk2Syjt37sSBAwccEkd+fj7WrVsnla+//no8/fTTsmQWAAiCgGeeeQbXX3+9tGzt2rXIz89vdftjx47Fa6+9ho0bN+LAgQP4/PPP8fzzz6N///4OiZ/cyySKzcbQYgst9xsaDgRbfRrvYSstIiIiIiKiFjGhpdDGjRtlA69nZGQgIKDlBm6PPfYYQkJCpPLKlSsdEseaNWukwdkFQcDcuXNbrW/5ul6vx5o1a1qt/+ijj+LOO+9Enz59Wt0/8k7FOqDeJF/GhJb7BaoEXBUhX7ar3C2hEBEREREReQUmtBTavn279DwxMRHDhg1rtX54eDhuuukmqbxr1y7odDqHxpGamoqkpKRW6yclJSE1NdXm+uR/rLsbagQgvnkjQ3KDNKsJUXezhRYREREREVGLmNBSoK6uDj///LNUHj58eLMufrYMHz5cel5dXd3hboe5ubnIycmxuX2lceTk5CAvL69DcZD3sk5odQsyz7JH7mc9jtaBi0C1UXRLLERERERERJ6OCS0Fzpw5I3XzA4BBgwYpWm/w4MGy8okTJzoUh+VA8B2Jw3o75D84ILznGhYBqC1yiwYR+KnSffEQERERERF5Mia0FDh9+rSs3L17d0XrJSYmQq1WS+UzZ864JY5u3bq1uh3yH7lWA8J3Z0LLY4QFCBgcJl/GcbSIiIiIiIhsY0JLgbNnz8rK8fHxitZTq9WIjY2Vym3NMGhPHCqVCnFxcYrWi4uLg0rVdKg7Ggd5r9xaeZkDwnuWERxHi4iIiIiISBEmtBSoqqqSlSMjI1uo2Vx4eLj0vLq62mFxhIaGKp6FUKPRyGZc7Ggc5L2sW2gxoeVZrMfR2lcB6E0cR4uIiIiIiMiasoyIn6upqZGVg4KCFK8bHNyUMbDeTkfisCeGxjgaE1kdjcPTnTp1StYijcxEEfi9uh+Apm6wxsIzOHLevQnOxvHp9Ho9jhw54tZY3C3apAbQTyrXmIAvDp7CAE1tyyt5ER5r/8Fj7T94rP0Dj7P/4LH2HzzW/sEZx9lkMjlkO47AhJYC9fXyZi0ajUbxuoGBgdLzurq6VmraF4c9MTg6Dk9nNBphNBrdHYbHqRDVqLFIZgFAZ1ONbMIDd/OkWNwhHHokqeqQY2pKhGfWB6MPfG90eH8/1v6Ex9p/8Fj7Bx5n/8Fj7T94rP2DLx5nJrQUsG4NpdfrFbeQ0ul00nPL1lodjcPe/4yOjMPTqdVqttCy4bxBftxVEJEYKEIj2JccdTTL/8v2Jmp90RBNDXLqm47VYVM47tP84caIHIfH2n/wWPsPHmv/wOPsP3is/QePtX9wxnE2mUwe04CECS0FtFqtrFxfX684oWXZGsp6Ox2Jw7rVmCvj8HQ9e/ZEWFhY2xX9zOnzImAxyHhCkIArrxjovoAaHDlyBHq9HhqNBgMHuj8edxtbJOKr35rKR8RIXD5gANSC4L6gHITH2n/wWPsPHmv/wOPsP3is/QePtX9wxnGuqqrCiRMnHLKtjmIzFgWskyMVFcqnHqusbOoqFBoa6rA4qqurYTAYFK2n1+tRW9s0Bk9H4yDvlGvV05QDwnum66Lk5TIDsN/3ehwSERERERF1CBNaCnTt2lVWPnfunKL1DAYDzp8/L5W7devmsDhMJhOKi4sVrVdUVCQbuK2jcZB3sk5oJTGh5ZG6Bwvoa9WIclOpe2IhIiIiIiLyVExoKZCcnCwr5+bmKlqvoKBA1rfUejsdjSMvL0/Revn5+a1uh/xDnlVCqzsTWh7r1k7y8jdMaBEREREREckwoaVAcnKybAC1w4cPK1rv4MGDsnLv3r07FEdKSoqsfOjQIbfEQd4ph10OvcYYq4RWVhVwrl50TzBEREREREQeiAktBUJCQpCamiqV9+7dC1Fs++Zy79690nOtVouhQ4d2KI4ePXqgR48eNrevNI6kpCTZNsh/NBtDS9m8BuQG10QCEWr5ss1spUVERERERCRhQkuh0aNHS88LCgqwb9++VutfvHgRW7ZskcppaWkIDAzscByjRo2Snu/fvx85OTmt1s/JyUFmZqZUHjlyZIdjIO9TZRBRZjWHAFtoeS6NSsCNMfJlTGgRERERERE1YUJLofT0dERGRkrlBQsWtDrL4Ntvvy2bWXDKlCkt1h05ciRSUlKQkpLSZsJp4sSJUvdHURQxf/78Vuu/8cYb0nONRoN77rmn1frkm3Lrmy9jQsuzWY+jtfUPQGdit0MiIiIiIiKACS3FwsPDMX36dKl87NgxzJ07F3q9vlndVatWYfXq1VI5LS2tw90NG3Xv3h3jx4+Xyjt27MBbb73VrAukKIp488038b///U9aNmHCBM5w6KesuxvGaoAQteCeYEiRW6wSWlVGYFe5W0IhIiIiIiLyOAHuDsCb3Hfffdi9ezd++uknAMDXX3+NrKws3H777ejatSvKysqwbds2HDlyRFqnc+fOeO211xwax9NPP42srCycPHkSAPDxxx/j+++/xy233IK4uDgUFxdj06ZNOHPmjLROr169kJGR0ea2t2zZgrfeeqvZ8oqKCll5ypQpUKvVzept3brV3t0hF+CA8N4nLlBAariI/Reblm0qBUbFtLwOERERERGRv2BCyw4ajQaLFy/GzJkzpZkDCwoK8P7779usHxsbi6VLl6JLly4OjSMsLAzvv/8+ZsyYISWtTp06hcWLF9usn5ycjPfffx9hYWFtbruqqgp5eXlt1isoKLAvaHKrZgPCM6HlFW7pBFlC65sy4B/uC4eIiIiIiMhjsMuhnSIjI7F69Wo88cQT6Ny5s806Wq0Wd9xxB77++mv079/fKXF07doV69evx7Rp02Rje1nHOm3aNKxfvx5du3Z1ShzkHfKY0PJKY6y6HZ6oAU7XchwtIiIiIiIittBqB7VajZkzZ2L69OnIyspCbm4uSktLERERgfj4eKSmpiI0NFTx9nbs2NGuOIKDg/HMM8/g8ccfx/79+1FQUIA//vgD0dHRSExMRGpqqt0zK44fP142Rhf5BrbQ8k5XhgNxgUCxrmnZplLgEeaniYiIiIjIzzGh1QFqtRqpqalITU11axyBgYG45ppr3BoDeTYmtLyTShBwS4yI5UVNyzZfYEKLiIiIiIiIXQ6JfFydUcQ5nXwZE1rew3q2w+/LgWojux0SEREREZF/Y0KLyMfl1zdfxoSW97gxBggQmso6Edj+h/viISIiIiIi8gRMaBH5OOvuhlEBQKRlhoQ8WmSAgBFW8z58dd49sRAREREREXkKJrSIfBzHz/J+6ZfIy1+dB2rZ7ZCIiIiIiPwYE1pEPo4JLe93Vyxg2aauygj8t9Rt4RAREREREbkdE1pEPs46odU9yD1xUPvFBwkYGS1ftqbYPbEQERERERF5Aia0iHwcW2j5holx8vLmUqBcz26HRERERETkn5jQIvJxuVazHCYxoeWVxl8CBFrNdvjVBffFQ0RERERE5E5MaBH5sBqjiDyrFlqXhrgnFuqYKI2AMZ3ky9jtkIiIiIiI/BUTWkQ+7LcawLJTmgCgj9Zd0VBH3W3V7XDHH8C5enY7JCIiIiIi/8OEFpEPO1YtL18aDGjVgu3K5PFu6wSEqZvKIoB/l7gtHCIiIiIiIrdhQovIh1kntPqHuScOcowQtYDxneXLPme3QyIiIiIi8kNMaBH5sF+tElr92N3Q602MlZd/vgicqmG3QyIiIiIi8i9MaBH5sF+sElqXh7onDnKcUdFAZ4182Rp2OyQiIiIiIj/DhBaRj6oyiMi1muGQCS3vF6AS8FerVlr/KgZEka20iIiIiIjIfzChReSjfq2Rl1XgDIe+YqLVbIcnaoBdFe6JhYiIiIiIyB2Y0CLyUdYDwl8WAgRzhkOfMCwC6BUiX/bPAvfEQkRERERE5A5MaBH5KOuEFrsb+g5BEDArUb7sq/PAuXp2OyQiIiIiIv/AhBaRj2o2wyETWj5lahcgxOIT3CACHxa6Lx4iIiIiIiJXYkKLyEexhZZvi9YIuMdqLK0PCwG9ia20iIiIiIjI9zGhReSDKgwi8uvly/ozoeVzHrLqdnhOB2y44J5YiIiIiIiIXIkJLSIfZN3dUC0AvTnDoc8ZFC5geIR8GQeHJyIiIiIif8CEFpEPsu5u2CsECFJxhkNf9GBXeXlnOXC0it0OiYiIiIjItzGhReSDOH6W/5jQGYjVyJexlRYREREREfk6JrSIfBBnOPQfQSoB0xPkyz4rNo+jRkRERERE5KuY0CLyQWyh5V9mJsg/zKuNwKfn3BYOERERERGR0zGhReRjyvUiCnXyZUxo+bZuwQLGXiJf9lYeUGdkKy0iIiIiIvJNTGgR+Rjr1lkBgnlQePJtj3eTl8/pgI/YSouIiIiIiHwUE1pEPuYXq4RW7xAgkDMc+rwRUQJGRcuXvZEL1LKVFhERERER+SAmtIh8jHULrf5h7omDXO/FJHmZrbSIiIiIiMhXMaFF5GOazXCodU8c5HppNlppzWcrLSIiIiIi8kFMaBH5mGM18jIHhPcvLyXJy2ylRUREREREvogJLSIfUqoXUcwZDv3aiCgBo9lKi4iIiIiIfBwTWkQ+xHr8rEAB6MkZDv0Ox9IiIiIiIiJfx4QWkQ85WiUvp2iBAM5w6HdstdKalwtUGthKi4iIiIiIfAMTWkQ+ZE+FvDyQMxz6LeuxtIp1wIu/uyUUIiIiIiIih2NCi8hHiKKIH8rly9Ki3BEJeYJrogTcGiNf9t5ZIOsiW2kREREREZH3Y0KLyEecrgUKrQaEvzbSPbGQZ3inNxBs8SlvAjD7BGAUmdQiIiIiIiLvxoQWkY/4waq7YVygeQwt8l+XhQj4vx7yZfsvAh8WuiceIiIiIiIiR2FCi8hHWHc3vDYSEAQOCO/vMro3T2z+3xmgWMdWWkRERERE5L2Y0CLyERw/i2wJUglY0lu+rMIAPHXKPfEQERERERE5AhNaRD4gr05ETp182XVRbgmFPNDIaAH3xsmXrS4GvitlKy0iIiIiIvJOTGgR+QDr1lkxAcDloW4JhTzUWz2BqAD5snt/A3LrmNQiIiIiIiLvw4QWkQ/YWS4vp0UBKo6fRRbiAgXMS5YvK9UDE44CtUYmtYiIiIiIyLswoUXkA3aVy8tpkW4JgzzcjARg3CXyZVlVwIPZgCgyqUVERERERN4joO0qROTJztWLyK6VL7su2j2xkGdTCQKW9xVx1QHgRE3T8hVFQGoE8GCi+2KzR16diB1/AAergHP1QGE9UKgz/wWA2EAgVmP+GxcIXBkO3BwD9NSy1SIRERERka9gQovIy+2qkJfD1cCgMPfEQp4vIkDAV/3NSa0qY9Pyx04CV4SKuCbK85I+NUYR35QCW/8AdvwBnKptvf7ZevOj0Yoi89/LQkTcGAPcGgPcFAMEqDxvX4mIiIiISBl2OSTyctbjZ42IBNQcP4ta0TdUwPK+8mUGERh7FPipwjO6HoqiiD3lImYcFxG/B7jzGPBhYdvJrNacrgWWFgC3HwVSfgKWnBVRw/HDiIiIiIi8EhNaRF7OeobDa6PcEQV5m/GdBcztLl9WZgBGHQK+K3VfkqdEJ+L1HBEpPwFpB4Fl54CLxrbXs9fvdcDDJ4Ee+4CXfxdxQcfEFhERERGRN2GXQyIvdkEn4li1fBkTWqTUq8nmcai+K2taVmMyt2Ba0VfExDjXtPQTRRE/VwJLCoAvSgAluaWYAODP0UCKFkgIBBKCgPhAQCUAJTrgvN7897ca8/4V62xvp1QPvJwD/CMfeDVZxIMJ7IpIREREROQNmNAi8mLW42dpVeYBsImUUAsC1vUXcccv8qSWQQQm/Qqc14t4OBEQnNSFtc4o4t8l5kRW5sXW66oAXB8N3BgDjIo2jxOnUhiXSRRxpCFx9+V52+910WgeR2zFOeCfvUVcFcmkFhERERGRJ2NCi8iLWXc3HBYJBLJ1CdkhVC1g4wAR044D/yqWv/bYSWDzBWBRLxF9Qx33/6rQqMG/TotYds7cQqo1fbTA37oA93YBEoPaF4NKEDAoHBgUDjzdXcQP5cBbecDmsuZ1D1YBw7OA6Qki5iUDMRqeT0REREREnogJLSIvxvGzyBECVQJW9hVxiQZ496z8tS1/AAP3Aw8livh7EhDVzgRPpUHEpvoofFMXgb2GCJjKW64bpAImxgIPJABXRTi2hZggCLguGrguGjhaJeKNXGBNibyOCOCjQmBzqbnr5choJrWIiIiIiDwNE1pEXur3WhEHq+TLro10Tyzk/VSCgEU9RcQFAs+dkb9mFM2Jrn8VA/fGibi5E5AWCYSoW070mEQROXXAngpzN79vSwGd2K3VGHoEA7MTgGnxwCWBzk8iDQgTsPpyYFaiiIeygV+sxqMrqAduOAQ81V3Eq5ey9SMRERERkSdhQovIS60qkpejA4CrmdCiDhAEAc/2AHqHiHjslDmhY+mCHnj7rPkRrAL+HCWitxbQCA0PFVCmB45UAYergEqFsxPeEA081BUY08k8rperpUUJODBUxLtngb/nANUWcYswd0/cXgZ81k9EHwd2vSQiIiIiovZjQovIC4miiJVWCa27YoEgtiAhB5gQK+CmGBFv5AEL84F6U/M6dSbg2zLzoz3C1cDUeODBRCBF6/7/txqVgCe7A3+NFTH9OLD1D/nrWVXA0ExgSW8Rf4t3f7xERERERP5O5e4AiMh+uyuAM3XyZVPj3RML+aawAAGvJQv49U/A+M6O2WYATBgRUIFXw/JxdjjwTi/BI5JZlroFC/jmCmBhT8C612ONCbjvODD9uIhao+ieAImIiIiICABbaBF5pRVWrbP6aIHUcPfEQr7t0hAB6/oDBy+K+M8FYEsZ8FMlYKPRlk2dNMDwCGBCLJBc9BtCjPXQaDQID+ju1Lg7QiUIeLwbcH2UiEm/Ar/VyF//5ByQWQl80V9Ebw9LyBERERER+QsmtIi8TI1RxFqrWdmmdHHsTHBE1gaHCxgcDrx0KVCmF7HtD2BfBVBlBPQioDeZ/2oEoF8oMCgMuCIMSAxq+r95pMQEvcJxtTzBoHAB+4eKePIU8EGh/LUj1UBqJvBxHxF3xvLcIyIiIiJyNSa0iLzMhgvARYukgADg3ji3hUN+KEYj4K+xwF9j3R2J82nVApamANdGiXjghHzA+ItG4K5jwA/lIhb05Bh2RERERESuxDG0iLzMynPy8uhooGswb6SJnGlinID9VwL9Q5u/tqQAuDYLyKnluFpERERERK7ChBaRFymoN3f1sjSli3tiIfI3fUIF/Hgl8Dcb59z+i8CQTODrC0xqERERERG5AhNaRF7ksyL5YNzhauAvDpqBjojaplUL+LSvgI/7AMFW36DlBmDsUeCRbM6CSERERETkbExoEXkJURSx0mp2wztizTfYRORa0+LNrbV6hTR/7b0C4E8HgMNVTGoRERERETkLE1pEXmL/ReC3GvkyW12fiMg1BoYJ2D/U9uD4x6qBqzKBBXkiTCITW0REREREjsaEFpEXEEURL5yRL7s0GBgR6Z54iMgsIkDAmn7Akt7NuyDqRODp08D1B4HfqpnUIiIiIiJyJCa0iLzAhgvAVqvB4O+LB1QCuxsSuZsgCJidKODAUGBwWPPXd1UAg/YDz5/h2FpERERERI7ChBaRh6s1injylHxZYhDwWFf3xENEtvUNFbDvSiCjO2CdataLwOu5wICfgW9LmdQiIiIiIuooJrSIPNybeUBOndWyy4CwALbOIvI0gSoB8y8TsH0QkBTc/PUzdcCtR4DRB0XsrWBii4iIiIiovZjQIvJgObUi5ufJl10bCdxtYxBqIvIcf44W8MufgGe6A7ZyzzvKgRFZwJjDIg5cZGKLiIiIiMheAe4OwJuZTCZkZWUhLy8PFy5cQEREBOLj45GamgqtVuuyOHQ6HTIzM1FQUICysjLExMQgMTERQ4cORWBgYIe3f+TIEZw5cwYlJSUIDQ1FXFwcUlNTERnJEcmd7anTQJ2pqawC8G5v85g9ROTZtGoB8y4DJsWJmJ0N7KloXuebMvPjhmgRMxKA9EvMrbyIiIiIiKh1TGi1g9FoxLJly7Bq1SqUlJQ0e12r1WLMmDHIyMhwatKnrq4O7777Lr788kuUl5c3ez0qKgoTJkzAI488guBgG31f2rB27Vp89NFHyM3NbfaaRqPBqFGj8Oyzz6JLly7tCZ/asLVMxFfn5ctmJwIDw3izS+RN+ocJ2DlYxKfngJd+Bwp1zets/cP8iNUAU+NFTIsHemt5rhMRERERtYQJLTtVVlZi5syZyMrKarFOTU0N1q5di127dmHp0qXo16+fw+MoKCjAAw88gFOnTrVYp7y8HMuWLcPOnTvx4YcfIjExUdG2dTodnnjiCWzdurXFOnq9Ht9++y327duHRYsW4ZprrrF7H6hlObUiph+XL7tEA7xyqXviIaKOUQkC7k8A7okT8UEh8EYuUKJvXq9Ebx437808oFeIiJs7AbfEANdFASFqz0twiaKIcoM57jI9UGEwP47VRaPSABj1AYg6I6LeBNSLgFEE1IK5G2bjI1QFRAYAUQHmv9EB5okvEoLYWo2IiIiIWsaElh0MBgMeffRRWTIrISEB6enpSExMRFlZGbZt24ajR48CAIqKijBz5kysW7cOcXFxDoujqqoKs2bNkiWzLrvsMtx6662Ii4tDUVERNm/ejDNnzgAATp06hVmzZmHNmjUIC7Mxp7yVF198UZbMio6OxtixY5GcnIyKigrs3bsX+/btAwBUVFTg4Ycfxpo1a5CSkuKwffRnuXUiRh4C8uvly19PBqI1vLkj8mYhagGPdQNmJIhYchZ4Kx8otZHYAoCTtcDJs8Dis0CwChgUJuKKMGBQGHBFGNA3FIhQO7YLslEUUWEAzuuB8zrz35KGv5bLzuvMSawLesBgcwgwi2lYmzfyVSxWIyIxCLg0BOgVAvTWAr1DgBQtcEkgPw+JiIiI/BkTWnb49NNPsXfvXql82223Yd68ebJxqmbNmoWVK1fi9ddfhyiKKCkpwQsvvIAPP/zQYXEsWLAA2dnZUvn+++9HRkaG7KZmzpw5ePPNN/HJJ58AALKzs7Fw4UK89NJLrW578+bNWL9+vVS++uqrsWTJElki7IEHHsC3336LjIwM6HQ6VFdX46mnnsLGjRuhUnGegY7IrxMx6mDzWQ2viQSmxbsnJiJyvFC1gKd7AA93FfHleeCjQmCXjTG2GtWZgB8rzQ/5doCEQBEJQUB8IBCmBkLUgFYFaNXmcfeMImBs+KsXzS2oKg1NrakqjE3PLxqdudf2K9GbHwermr8WH2hO8DUm+QaFAz1DADXHGCQiIiLyC0xoKVRVVYWPP/5YKvfr1w/z589HQEDzf8IpU6YgNzcXn332GQBg586dOHDgAK688soOx5Gfn49169ZJ5euvvx5PP/10s3qCIOCZZ57B77//jv/9738AzGNiTZs2Dd26dbO5baPRiHfffVcqd+nSpVkyq9HNN9+MwsJCzJ8/H4A5Yfbf//4X6enpHdo/f1ZQL2LUIeCMVTJrYCiwYYC5yxIR+ZYQtYB7uwD3dgF+qxbxUSGwpgQotjHOli3VxoaWXLXOjdMTndMB58qAb8ualmlVwACrlmwDQoEwW1NNEhEREZFXY0JLoY0bN8oGXs/IyLCZzGr02GOP4csvv0RtrfkuY+XKlQ5JaK1ZswZ6vbl/iiAImDt3bqv1586dKyW09Ho91qxZYzMBBgC7d+/G77//LpXnzJnTahfFv/3tb1i1ahUKCwsBmPeRCa32+aHcPGbWKaub0stDga2DgE7sakjk8/qGCvhHL2BBTxEHq4BvSoFvS82tskxtr+522oaxsCIDAI2uBqGiAcEqEbHRkQgSgECVecwso2juptj496IRKG9oIVbe0N2xrp07XGMCfqo0PxoJMI9HJrXmCjf/TQjkjLFERERE3owJLYW2b98uPU9MTMSwYcNarR8eHo6bbroJGzZsAADs2rULOp1O1j2xo3GkpqYiKSmp1fpJSUlITU3F/v37pfVbSmht27ZNeq7VanHrrbe2um21Wo2//OUvWLJkCQDgl19+QXFxsUPHC/N1+XUinjkNfN58skz01QLbBgGdOU4MkV9RCQKuDAeuDAeeTwLK9CL2VwKHq8yPQ1XAiRrnJ7nC1EBnDRAbaP57icXzzoHmGRk7N5Y18kHrjxw5Db1eD41Gg4GXD7TrfUVRxB8GoKAeOFtvHk/wVI25FVp2jTnxr7c5blcL2wOQXWt+rLWYOfYSDXBFmIi+WvPYXCkNf7sFsUUsEZE71BpFlOjNP26UN/41AFVG8w8ddSag1gTUW3wBNn5aBwjmLvchKvNDqzZPMnKJpukRrWG3dCJfw4SWAnV1dfj555+l8vDhwxX9qjt8+HApoVVdXY0DBw60mQhrTW5uLnJycmTbV2L48OFSQisnJwd5eXno3r17s3o7d+6Ung8aNAihoaGKtt2Y0BJFET/88APuvPNORXH5M51JxFt5wLxcc4sCaylaYPsgII7JLCK/F6MRcFMn4KZOTcvqjCIKdeakT2G9+W+JHqgxmi/2a03m5yYAapgv9BtnFwwPACLVTa2ppIfFsks07ptVURAExGiAGA0wwEYjYaMo4lQtcOiiPMl3TmE3zUYX9MD2P8wPS4EC0DVIRLdgc3Kra5A5kddJ0/AIMN8UNY5TplUBQSpz3KIoQoQ5iWYSrf4C0DXckNU3/hWBOqP5b731axZ/60UbyyxfM8rrNN7sWc4o2fi88f9DgGCOO0xt3o9Qtfl5aOOj4bWIAPOxiA4AYgLMZSb8iEgpyx8pzumAc/VAkc78KNaZlzWWKwzOjUUAEB0gNiW5AoG4QHOL3YSgpr+JQebX+VlH5PmY0FLgzJkzUjc/wJzsUWLw4MGy8okTJzqU0LIcCL4jcWRnZzdLaFVUVKC4uNjubQ8YMAABAQEwGAw2YyTbph0H/lVs+7XBYcDXA4EuQfwSJSLbgtUCkkOA5BB3R+J6akFASkOLqrssGgSX6EQpudWY7DrejpZsOtE8lqH1eIZts6PZmBdTAYgKEKUkl6YuCWGiHlFqEb3OiObEV0NCMqYh+RfTsCxIxe81Il9SZRBRoDP/sFJYDxTaeq6Tt6hyJxFAmcH8yG5j7MkAwTz5SGOiK94i4dW4LDEIiArw3+7roiiixmRuQXexoSXdRaP8b+NrtSb5jzwiANHiBx9RBATBPKtzW48wdfNHsMp/j4O/Y0JLgdOnT8vKtlo32ZKYmAi1Wg2j0Txt1JkzZ9wSh/Ug8KdPn8bo0aMdsu2goCDExcWhoKAAQMf30R/oTaLNZFZ0APDypcCsBCCAF/1ERHaJDRRwQwxwQ0zTslqjiGPV5iTXYYuHp83m6E1MaLohNAs3/zEAyG19Xa1KbJboskx4RQUA4Q03J+GWzxvKYWp2FyJyNKMootoI6XHcEIwyQxCqTEHYWyCiTA+UGmD+a/E4p/Ptz1KDaO7ynl/fer1glXm24c6B5ha8MRr555rl34iAppa92obuka5oBSaKotRds9YE1Da05j6iD0GlIRg6UyAOF4nmJJSheULKMmFl/Zqn/JSjFoAwtWgz2dXWo/H7xfoRwiSZV2BCS4GzZ8/KyvHx8YrWU6vViI2Nxblz5wCYZyh0VBwqlUrxWFVxcXFQqVQwmUwtxtHefWys25jQ6ug++gOVAPQPBX6pbigDeCABeOVS4BJ2MSQicpgQtYChEcDQiKZlJlFETp05yXW0qmlsrhM1vn1z5glqTEBNw9ho7RWsEqVf6YOsfrUPEpqWq4WmR2NXS7Vg/g5u7ILZuKyxrLJ4n8Z7GMtvZQE2lgmtvGZVp616rWnrprG119tct40KIoDimliYTEao9GrE/S42e729sbX1/h3edgfeu6313fnegHliDX3D5BqNfw0ioDc1LdNbLGss1xiB6oZWNdVGW5Nw9Gp66qaOFwLMCe7GR2NyIUTddI6rIP830lklbKpN5iTcBb1zP9vrTO1t1WsWpBJlXdgDG/at8TOp8XPL8jNMFAEj5BOsGC3+DxhFczf0xsRVbYst5Ho2Pf2tffF7CqNo7rLqyG6rKjRPkoWoAY1Fd/7Gh+UytY3XVQ3HU2j8a/VcLQDXRAIjo9nV1V5MaClQVVUlK0dGRipeNzw8XEpoVVdXOyyO0NDQVmdZtKTRaBASEiK9v604OrqPjTq6j+3R2AKuUU1NjctjsNe/k0WsKTaP1TLmEqCXVgB0QJWdY8D4gsZEq8lkavb/kHwLj7X/8PRjHQvgxhDzo5EomlsiFOmAYj1QojM/LuibLpIrjea/Ogf9JK0WzN8DmoZHoMpcDlQBmsbnVq9pVBZllcXrjes11BFgvsA3iuZWVY3PjRY3Qo03gHUm+YDLtcam59VG834bPOVneMB8F2tseDSoa3hUuCciP2Axrmq+553TpJwGQFTDw3wn7br3jgowt2K6JLCphWZjq6bGcQqjA8zj+Dnypl5nElHZ8DleYTmzbkPrs9KGxNcFnbn1qct7SIowt3K1WmT1MdcqFYDAhgcgtZ11+TH2SQ0HwgjAmZ9+G/KBhxKBu+Mcm9ByxjWZ9f229f24KzGhpYD1AQsKClK8bnBwcIvb6Ugc9sTQGEdjsslWHNbL7JmN0ZH72B719fKfer2lldjYhr+mfOCEWyPxDEajESdO8F/CH/BY+w9vPNYBABIbHjLqhkfHJiu2T+NAI4DyuxpHUTU8eKVIRI7WmKmxaq1Z2/BwptCGR7PPeAFAUMODyF3KgRPlztm0M6/JrO/HXUnVdhWyPkAajUbxupaJobq6drZFtRGHPTEoicN6H+1JaDlyH4mIiIiIiIiI2sKElgLWraEsZzxsi07X1IfMsiVTR+OwJwYlcVjvo2X9jm6biIiIiIiIiMiR2JBcAa1WKyvX19cr7vJn2WLJejsdicPeZn1txWG9zJ6EliP3sT2ioqJk5aCgIKjV7CxORERERERE5EhGo1GWj7C+H3clJrQUCAsLk5UrKioQERHRQm25yspK6XloaGgrNe2Lo7q6GgaDQdHA8Hq9HrW1TT3SbcVhax+VcuQ+tkdgYCBiY2Nd/r5ERERERERE5B7scqhA165dZeXGWQvbYjAYcP78eancrVs3h8VhMplQXFysaL2ioiJpdoOW4mjvPlrX7eg+EhERERERERG1hQktBZKTk2Xl3NxcResVFBTIprC03k5H48jLy1O0nvWsf7biuOyyy2RlpftYX1+PkpISqXzppZcqWo+IiIiIiIiIqL2Y0FIgOTlZNqvg4cOHFa138OBBWbl3794diiMlJUVWPnTokMPiiIyMRFxcnFRWuo9Hjx6FwWBoMUYiIiIiIiIiIkdjQkuBkJAQpKamSuW9e/dCFMU219u7d6/0XKvVYujQoR2Ko0ePHujRo4fN7SuNIykpSbYNS9dee630/NChQ6iurm5z23v27JGeC4Ig2wYRERERERERkTMwoaXQ6NGjpecFBQXYt29fq/UvXryILVu2SOW0tDQEBgZ2OI5Ro0ZJz/fv34+cnJxW6+fk5CAzM1Mqjxw5ssW6lvtYU1ODzZs3t7pto9GIDRs2SOXLL79c1sqLiIiIiIiIiMgZmNBSKD09HZGRkVJ5wYIFsq521t5++23ZzIJTpkxpse7IkSORkpKClJSUVhNOADBx4kSp+6Moipg/f36r9d944w3puUajwT333NNi3bS0NCQlJUnl9957D1VVVS3WX7FiBQoLC6Xy5MmTW42FiIiIiIiIiMgRmNBSKDw8HNOnT5fKx44dw9y5c6HX65vVXbVqFVavXi2V09LSOtzdsFH37t0xfvx4qbxjxw689dZbzbpAiqKIN998E//73/+kZRMmTGh1FkK1Wo1HHnlEKhcVFWHOnDk2k1rfffcdFi1aJJV79uyJ9PT0du0TEREREREREZE9BFHJYFAEANDr9bj//vvx008/ScsSExNx++23o2vXrigrK8O2bdtw5MgR6fXOnTtj3bp16NKlS4vbHTlyJAoKCqTt7dixo9U4qqqqcPfdd+PkyZPSsp49e+KWW25BXFwciouLsWnTJpw5c0Z6vVevXvj8888RFhbW5n5mZGTgP//5j1SOiYnBuHHjcOmll6KyshJ79uxpNj7YmjVr0KdPnza3TURERERERETUUUxo2amiogIzZ85sNnOgLbGxsVi6dCn69+/faj17E1oAcPbsWcyYMUOWtGpJcnIyPvroI3Tt2rXNugCg0+nw6KOPKoojIiICCxcu5GDwREREREREROQy7HJop8jISKxevRpPPPEEOnfubLOOVqvFHXfcga+//rrNZFZ7de3aFevXr8e0adNkY3tZxzpt2jSsX79ecTILAAIDA7F06VK88sorLXZR1Gg0uOmmm7Bx40Yms4iIiIiIiIjIpdhCqwOMRiOysrKQm5uL0tJSREREID4+HqmpqQgNDXVZHDqdDvv370dBQQH++OMPREdHIzExEampqQ6ZWfHIkSM4c+YMSkpKoNVq0aVLFwwdOhRRUVEdD56IiIiIiIiIyE5MaBERERERERERkVdhl0MiIiIiIiIiIvIqTGgREREREREREZFXYUKLiIiIiIiIiIi8ChNaRERERERERETkVZjQIiIiIiIiIiIir8KEFhEREREREREReRUmtIiIiIiIiIiIyKswoUVERERERERERF6FCS0iIiIiIiIiIvIqTGgREREREREREZFXCXB3AETkn0wmE7KyspCXl4cLFy4gIiIC8fHxSE1NhVardXd4ZINOp8Pp06dx8uRJlJaWor6+HuHh4YiLi8OgQYNwySWXuDtE8iLZ2dk4ceIEiouLERgYiLi4OAwePBixsbHuDo2IGjjzPC0pKcHBgwdRXFwMnU6HuLg49OnTB7169XJA5KSEKIrIy8tDdnY2zp07h+rqami1WnTq1An9+/dHUlKSu0MkL8PzmlyNCS0icimj0Yhly5Zh1apVKCkpafa6VqvFmDFjkJGRgcjISDdESJbKysrwzTff4Pvvv0dmZiZqamparDtkyBDcf//9GD16tKJtT548GT///LPdMf3973/HxIkT7V6P2paSktKu9TZv3ozLLrtMUd1t27Zh8eLFOH78eLPX1Go1hg0bhrlz5/Lil6gFOp0O2dnZOHr0qPQ4ffo0jEajVOfEiRMdeg9nnqcnT57EG2+8gX379slibtSnTx88/PDDir9LfJkzjnVdXR2+//57bNu2Dfv27cOFCxdarNutWzfce++9mDRpEjQajaLtL168GO+9955dMQHArbfeikWLFtm9nq9w1nntqmstntfkLkxoEZHLVFZWYubMmcjKymqxTk1NDdauXYtdu3Zh6dKl6NevnwsjJEvZ2dkYN26czQsTW7KyspCVlYUxY8bg9ddfR3BwsJMjJG/zyiuvYPXq1S2+bjQasXv3bkyYMAGvvPIKxo0b57rg/ER7k5aWtm/fjq5du9p8jYlq57rjjjtw4sQJ6HQ6p72HM8/TDRs24MUXX0R9fX2LdY4fP46HHnoIkyZNwosvvmhP6D7FWcd65MiRKC0tVVQ3Pz8f8+bNw8aNG/Huu++iW7duDo2FzFxxXjsTz2vlnJG4bO/3rqV58+Zh/PjxNl/z9CQ1E1pE5BIGgwGPPvqoLJmVkJCA9PR0JCYmoqysDNu2bcPRo0cBAEVFRZg5cybWrVuHuLg4d4Xt1+rr62VfsIIgoE+fPkhNTUViYiLCw8NRWlqKn3/+Gbt374YoigCATZs2oaqqCkuXLoVarVb0XpGRkYpb5IWHh9u/M2S32NhYxUnJwMDANussXrxYdpOs1WqRnp6OlJQU1NfXIzMzEzt27IDJZEJ9fT2ee+45xMbGYvjw4e3eB3I8lUqF0NBQd4fhtxq/I53Fmefp3r178dxzz8FgMAAw/18aPXo0rrzySmg0Gpw4cQJff/211BJ49erViImJwZw5c5yzsx7OWce6trZWVk5MTMRVV12F5ORkREdHo6amBr/88gu2bNki1f3111/xt7/9DZ9//rld3U2DgoIUX8P587AFzj6vGznjWovntXKenLj05mtrJrSIyCU+/fRT7N27VyrfdtttmDdvnuxGeNasWVi5ciVef/11iKKIkpISvPDCC/jwww/dETI16Ny5M+666y5MmDABCQkJzV5/4IEHcOTIETz66KMoLCwEAOzcuRP//ve/cc899yh6j8mTJ+Phhx92aNzUMQsWLMBVV13lkG0dPnxY9uteSkoKPvroI9mNzn333YfMzEzMnj0blZWVMBgMeOqpp7B161YmUByoe/fudtWvr69HcXGxVB42bBiio6MVrctEtXOFhYWhX79+GDBgALKysnDw4MEObc+Z52l1dTWeeuop6aY3IiICS5cuxdChQ2X1HnroIUyfPh3Z2dkAgPfeew/XXnstBg4c2KF983aOPtbBwcEYO3Ys7rjjjhb/bTMyMvDkk0/ip59+AgAUFBTg9ddfx9tvv634fa644gqsWrWqQ7H6G0cfa0uOvtbieW0fZyUuY2Nj7f5uz8vLk56HhYUhLS1N0XqemKRmQouInK6qqgoff/yxVO7Xrx/mz5+PgIDmH0FTpkxBbm4uPvvsMwDmxMiBAwdw5ZVXuixeMgsNDcXTTz+NSZMmtdlSZ+DAgVi2bBnGjRsnNTn/6KOPFCe0yLdZNjnXarV4//33bV4QDR06FK+99hoeeeQRAEBpaSlWrlyJ2bNnuyxWX7d161a76n/66ad44403pHJLXRJsYaLa8SZPnoz+/ftjwIABSE5OhiAIAIC5c+d2+MbXmefpihUrZN3c/t//+3/NbnoBIC4uDu+//z5uu+021NTUQBRFLFq0CJ9++mlHds0rOetYT5w4EVOnTm2zpVXnzp3xwQcf4M4778TJkycBAN988w2efPJJdj10MGee187E87r9HJm4XLhwoV31jx07JvsuHzNmjOIW+Z6YpFa5OwAi8n0bN25EeXm5VM7IyLCZzGr02GOPISQkRCqvXLnSmeFRC5KTk3H//fcr/pJLTk6WfUEWFhZKF8Hkv06dOoV9+/ZJ5SlTpths6dfopptuwpAhQ6TyZ599BpPJ5NQYqWVfffWV9DwiIgI33HCDG6Oh559/HuPGjcNll10m3fQ6gjPPU5PJJOvGOGTIENx4440tbjsxMRFTpkyRynv37sWpU6cU7YcvcdaxfvrppxV3GwwJCcGDDz4oW/bDDz84LBYyc9axdiae1/abPHky5s+fj82bNyMzMxOrVq3C008/7fLZRC2/1wH7fqjyRExoEZHTbd++XXqemJiIYcOGtVo/PDwcN910k1TetWuXR/Y3p+asu6jl5+e7KRLyFNu2bZOV77jjjjbXsaxz4cIFHD582OFxUdt++eUXqYsIYB7gNSgoyI0RkbM48zw9dOiQbCa9O++8065tA/LrCHKtq6++Wlbm9zoBPK/bwxMSlzqdDv/973+lcnJyMgYNGuSWWByFCS0icqq6ujrZzBvDhw9X9CFuOcBsdXU1Dhw44JT4yLGsx1CxHnyW/M/OnTul5z169FDUVeWaa65pcRvkOta/4k6YMMFNkZCzOfM8tV5uvZ4t3bp1k40Jw88A97H+Xm8c3Jv8G89r77Rjxw5Zrxlvb50FMKFFRE525swZ6PV6qaz0V4DBgwfLyvZOYUvucfbsWVm5U6dOboqEPIVlt1Ol53+XLl3QpUsXqWzZSohcQ6fTYdOmTVK5Z8+efjeArz9x5nlquTw+Pl7xgMKWcfAzwH2sv9f9eTZCasLz2jutX79eeq5WqzF27Fg3RuMYHBSeiJzq9OnTsrLSWTgSExOhVqthNBoBmBNj5Pksm49rNBpcfvnlitbbvXs3Dhw4gJMnT6KiogIhISGIjo5G3759MWzYMNx2220ICwtzVthkw4oVK/Dmm2/i7NmzqK6uRnh4OC655BIMGjQI1157LUaNGgWVqvXfxYqLi3Hx4kWpbM8sPN27d0dRURGA5p8j5Hzbt2/3uV9xyTZnn6eW39/2DCZuGcfFixdRUlKieOwnchzr7qhXXHGF4nXPnj2Lhx9+GL/88gtKS0uhVqsRFRWF5ORkpKamIj09vdWx2sixHHmtxfPa+5SUlGDXrl1SOS0tzSf+7ZnQIiKnsv5lLz4+XtF6arUasbGxOHfuHACO2eANjh8/jr1790rlESNGIDw8XNG6hw4dkpX1ej0qKyuRm5uLb7/9Fv/4xz/w4IMPYurUqQ6MmFpjPbZFWVkZysrKkJ2djS+++AJJSUl44YUXMGLEiBa30d7z37qu9XbI+Sy7GwYEBCA9Pd3ubTBR7R2cfZ5aLrcneWEdR35+vk/cfHmTuro6rFmzRipHR0e3OQ6qpcLCQhQWFsqW1dTUoLCwELt378bixYsxfvx4PPvss9BqtQ6Lm2xz5LUWz2vvs3HjRqmhANC+H6o8MUnNLodE5FRVVVWycmRkpOJ1LZMh1dXVDouJHM9gMOD555+XzXL10EMP2bWNoKAgxMbGIi4uDoGBgbLXKioqMG/ePDzyyCMwGAwOiZnaFhoaioSEBHTq1AlqtVr2Wk5ODmbMmIFPPvmkxfU7cv5HRERIzw0GA+rr6xWvSx1TUlKCPXv2SOW0tDR07tzZ7u0cOnQI+/btw4ULF5rdOL300ksYOXIkli9f7sDIqT2ceZ7W1dXJPrMt69uzbYDXAe6waNEi6YdFAHjggQeafT+3Ra1Wo1OnTkhISGiWtDIYDPjiiy9w5513ori42CExU+scca3F89o7bdiwQXoeFRWF66+/3u5tFBYWYsuWLSgsLER9fb0sQb1o0SLccMMNeOGFF1w61h5baBGRU1l/oNkzQ1ZwcHCL2yHPsnDhQhw9elQq33XXXRgwYECb61199dW4+eabcfXVV6NHjx5SFzaj0Yhjx47hiy++wFdffSX9ovTdd9/h1Vdfxcsvv+ycHfFzgYGBuOmmmzBq1CgMGTJENiZGTU0N9u/fj+XLl0st8UwmE+bPn4+4uDiMGTOm2fasz1t7boSsPyuqq6s5w56LbNiwQfYrbkcGgw8KCkJkZCQEQcAff/whm7G28eYpKysL//jHPxAQwMtSd3DmedqRawDrurwOcK0dO3ZgxYoVUrl379649957Fa3bs2dP3HbbbRgxYgRSUlJk/6dycnKwadMmrFixAhUVFQCAU6dOYfbs2Vi9ejVCQkIcuyPk8Gstntfe5/Dhwzh16pRUvv322+1OTjdqbJUVFBSE8vJy2TFsTFJnZWXhk08+UTy2WkfwyoGInMr611qNRqN4XcsP2rq6OofFRI61YcMGWSudpKQkzJ07t8313nnnHcTExNh8Ta1WY+DAgRg4cCDS09Mxe/ZsqRXB559/jvT0dFx55ZWO2QGS7Ny5s8VjotVqcd111+G6667D8uXLMW/ePOm1V155Bdddd12z7mOOOv9tbYucx/JX3OjoaPz5z3+2a30mqr2LM89TR26b1wGuk52djYyMDIiiCMB8LBYuXKjoBnjSpEl4+OGHW3w9KSkJDz30EP7yl79g5syZ0sDgx44dw/LlyzF79mzH7AQBcM61Fs9r79PRWYs9OUnNLodE5FTWv8RYznjYFstf8i1ba5Hn2LVrF55//nmpHBUVhSVLligaC6OlCyxrf/rTnzB//nzZsvfff9++QEkRpcdk6tSpmDJlilQuLy+XjbPSyFHnv61tkXMcOnRINrh3enq6XTcr77zzDlasWIGJEyfi0ksvlU0c0Hjz9Nprr2H58uWyBOjnn3+OAwcOOGYnyC7OPE8duW1eB7hGYWEhZsyYISU2BEHA66+/jt69eytaX+n3SEJCAj744AOEhoZKyz755JNmx506xhnXWjyvvUt9fT02b94slfv06YO+ffsqXn/SpEnYtGkTZs+ejQEDBjRLSjYmqTds2CD7nGhMUjsbE1pE5FTWiQ17WllY/mrDwUI9T1ZWFh5++GHpQkar1eLDDz9Ez549Hf5eo0ePxuDBg6Xyjz/+yF/13GzOnDmy8/L7779vVsf6vLXnRsX6s8Lypoecx/pXXHsHjWWi2vs48zztyDWAdV1eBzhfaWkp7rvvPmnmSgB44YUXcPvttzvl/RISEmTdGCsrK5nYdiOl11o8r73L1q1bUVlZKZWd9b3uriQ1E1pE5FTWXZAam6IqYfnhy5tZz/Lrr7/igQceQG1tLQBzE/J//vOfdk3nba/Ro0dLz3U6HX799VenvRe1LTIyEqmpqVL58OHDzep05Py3rBsQEMAWWi5g/Stuv3790KdPH6e9HxPVnsGZ52lwcLBsbDTL73V7tg3wOsDZKisrMW3aNOTk5EjLHn/8cUyaNMmp72v53Q7Y/i4h11FyrcXz2rusX79eeq7RaJyWoAbck6RmQouInKpr166ysuVsOa0xGAw4f/68VO7WrZtD46L2O336NO6//35cvHgRgPkm5u2337ZrKu/2SEpKkpXLysqc+n7Uth49ekjPG2exs9Te89+6rvV2yDm2bNkinddA+6b0thcT1e7n7PPUcnlhYWG7tg3wOsCZqqurMWPGDBw/flxaNn36dMyaNcvp72393V5aWur096SWKb3W4nntHYqKiqSJfADg+uuvV9ziqr1cnaRmQouInCo5OVlWzs3NVbReQUGBbJYt6+2Qe+Tl5WHq1KnSBY5KpcKbb76JUaNGOf29rcdZYEsO97Me6NP6mMTFxclafyg9/wHz/7VGPP9dw/pX3Ntuu83p78lEtfs5+zy99NJLbda3Z9thYWGIjY1VvC4pV1dXh1mzZuHQoUPSskmTJiEjI8Ml72/93c4JQNxL6bUWz2vvsGHDBphMJqnsih+qXJ2kZkKLiJwqOTlZNqCw0iz9wYMHZWWlg5GS85w7dw5Tp05FSUkJAPNAsa+++irGjBnjkve/cOGCrBwdHe2S96WWWR+TqKioZnUsz12l539RURGKi4ttboOc49y5c9i3b59UHjlypEvOMSaqPYMzz9OUlJQW12mNZYKFnwHOodPpMGfOHPz888/SsvHjx+OFF15wWQzWN7v8bncvpddaPK+9g+UPVZ07d0ZaWprT39PVSWomtIjIqUJCQmTj7Ozdu1eaBro1ls1jtVothg4d6pT4SJkLFy5g6tSpKCgokJY999xzuOOOO1wWQ1ZWlqycmJjosvcm2yyPSWxsrM0p3a+99lrpeW5uLvLz89vc7u7du2Xl6667rgNRkhLr16+X/Ypr75Te7cVEtWdw5nlquW0A2LNnT5vbzs/Pl8XAzwDHMxqNePLJJ7Fr1y5p2c0334zXXnsNgiC4LA5+t3sWpceD57Xny8zMlI2Jl56eLhv7zFlcnaRmQouInM6yL3VBQYGsFYAtFy9exJYtW6RyWlqazRtlco3y8nLcd999si/FJ554ApMnT3ZZDBUVFbLBqhMSEpo1aSbX2rdvH37//XepPHz4cJv1rMdSWLduXZvbtqzTqVMnDBo0qH1BkmIbNmyQnnfu3BkjRoxwyfvyZtYzOPM8HTx4MDp16iSV165da9e2AbikW7s/EUURc+fOlV1rXX/99ViwYAHUarVLY/nXv/4lKzt7PE5qmT3XWjyvPZ9l6yzANd0NAdd/rzOhRUROl56ejsjISKm8YMECGAyGFuu//fbb0ux5ADBlyhSnxkctq6qqwowZM5CdnS0tmzVrFmbOnNmh7drT/NhkMuH//u//ZINVp6end+j9Sc5gMMjGrGtLWVlZsy4pY8eOtVm3V69euPrqq6XyypUrWx1AdsuWLbIux5MmTYJKxcsVZ8rMzJSNmzRu3DiX3NQyUe05nHmeqlQq3HPPPVI5KysLW7dubXHbBQUFWLlypVS++uqr0atXL0X7Qcq8/PLL+M9//iOVhw0bhnfeeUc2RER72Nu1aPny5cjMzJTKQ4YM4SDhDuTMay2e156ttrYW33zzjVS+4oor0LNnT5e8t6uT1LxCJCKnCw8Px/Tp06XysWPHMHfuXOj1+mZ1V61ahdWrV0vltLQ0djd0k/r6ejz44IM4cuSItGzKlCl4/PHHO7ztu+66C4sXL25zZpyCggLMmDED27Ztk5bFxMTI/j9RxxUVFeGWW27B2rVrZRezthw4cAB33XWXrNvANddc02ILLQCy/zM1NTWYPXu2NBabpczMTDz33HNSOTo6GlOnTrVjT6g9vvrqK1n5L3/5S7u2w0S1d3PmeTp16lRZt5PnnnvO5lTuxcXFmD17NmpqamzGRR23cOFCrFmzRioPHjwY//znPxEUFNThbb/66qt49tln8csvv7Rar6qqCvPnz8e8efOkZYIg4Mknn+xwDNTE2ddaPK8913fffYfq6mqp3N7WWd6QpBZEJYPZEBF1kF6vx/3334+ffvpJWpaYmIjbb78dXbt2RVlZGbZt2yZLnnTu3Bnr1q1Dly5d3BGy39uwYQOeeeYZ2bJu3brZNbbGjTfeaHOmpJEjR6KgoACCIKBfv37o378/kpKSEB4eDsA8rs7BgwexZ88eWWu+oKAgLF++HEOGDGnnXpEtZ8+elZr+BwYGYsiQIejbty/i4+MRFhYGnU4nDRpueY4CQPfu3fHvf/+7zWmgFy1ahPfff18qh4aGYuzYsejduzfq6+uRmZmJ7du3S+M4qdVqfPDBBy4ZwNSf1dTUYMSIEdKF7+DBg/H555+3a1vjxo3DqFGjMGHCBCQkJLRYr6CgAC+++KJsDKaYmBhs2bJF+gwg21auXIlVq1Y1W15aWiq7eenevXuzOl26dLG5riVnnqe7du3CzJkzpdagarUao0ePxpAhQxAYGIgTJ07gP//5j+ymd/bs2Xjsscfa3LYvcsaxPnfuHP785z/LlsXGxjYbxLk1rf0/mjt3rtTNqVu3brjiiivQq1cvREVFITAwEBUVFTh27Bh27tyJyspK2brPPvus3/6A4azz2hXXWjyvO87yvAGAEydOdHibU6ZMke65goKCsGfPnnZ9vz7//PMwGo2YNGkS+vfv32K9qqoqLFmyBJ988om0TBAEfPbZZ05vmOD8UcGIiGCeAn7x4sWYOXOm1E2hoKBAduFsKTY2FkuXLmUyy40sB4hupGSgYEttTdUriiKOHTuGY8eOtbmtxMRELFiwgMksJ9PpdPjxxx/x448/tln3qquuwltvvdVmMgsAHnvsMZSXl0vJkurq6mbN0hsFBgbi5ZdfZjLLBRz1Ky4AVFZW4r333sOSJUvsvnlasmQJk1kKVFRUyKa9b4mtOkq6FTvzPE1LS8Nrr72Gl156CTqdDkajEd999x2+++47m/XvvvtuPProo4q27YuccaxtLbfVCq81SrunWw8A3pKQkBA899xzuPPOO+2Kw5c4+7x25rUWz2vlWktcWrrhhhua1VHyg0Sjs2fPymYuveGGG9r9/WowGLB+/Xp89dVXdiep586d65JeNkxoEZHLREZGYvXq1fj444+xatUqnD9/vlkdrVaLW2+9FRkZGYiKinJ9kOQSkyZNwq5du3DkyBHZzbQtPXr0wN13342//vWvCAsLc1GE/iUqKgqTJ0/GoUOHcPz4cZvdgRsJgoDBgwdj8uTJuPnmmxWPbyUIAl5++WWMGDEC7777rmxctkYqlQrDhg3D3LlzOZ23i1h2NwwODsatt97a4W0yUe29nH2ejh8/Hv3798cbb7yBffv22fzhpHfv3njkkUds3tSRZxs9ejSqqqpw6NAhm9d4lqKiojBu3DhMmTKFk0E4iauutXheK+PsxGWjDRs2yGaUd9SsxZ6apGaXQyJyC6PRiKysLOTm5qK0tBQRERGIj49HamoqQkND3R0euYjRaMTJkyeRm5uLkpISVFdXQxAEhIWFoXPnzhg4cCBb6blYXV0dfvvtN+Tn56O0tBS1tbXQaDSIiIhAQkICrrjiCkRERHT4fU6cOIETJ06gpKQEGo0GcXFxGDx4MOLi4hywF6REfn4+brjhBunC9/bbb8eCBQvavb1ly5YxUe1jnHmeFhcX4+DBgyguLoZer0dsbCxSUlKQkpLigMjJ3c6ePYuTJ0+iqKgIFy9ehMFgQFhYGKKiotC3b1/07NnTriEMqP1cea3F87plixcvxnvvvdeudRMTE7Fjx44264miiNGjR+Ps2bMAgPj4eOzYsaPdk+ts27YNGzZs8OgkNRNaREREROQwTFQTERH5Fk9NUjOhRUREREREREREXqV9bc+IiIiIiIiIiIjchAktIiIiIiIiIiLyKkxoERERERERERGRV2FCi4iIiIiIiIiIvAoTWkRERERERERE5FWY0CIiIiIiIiIiIq/ChBYREREREREREXkVJrSIiIiIiIiIiMirMKFFRERERERERERehQktIiIiIiIiIiLyKkxoERERERERERGRV2FCi4iIiIiIiIiIvAoTWkRERERERERE5FWY0CIiIiIiIiIiIq/ChBYREREREREREXkVJrSIiIiIiIiIiMirMKFFRERERERERERehQktIiIiIiIiIiLyKkxoERERERERERGRV2FCi4iIiIiIiIiIvAoTWkRERERERERE5FWY0CIiIiIiIiIiIq/ChBYREREREREREXkVJrSIiIiIiIiIiMirMKFFRERERERERERe5f8DJytr6MqHzBkAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 602
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# _, losses = predict(model, train_dataset)\n",
    "_, losses = predict(model, test_normal_dataset)\n",
    "sns.kdeplot(losses)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: ylabel='Density'>"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 630
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# _, losses = predict(model, train_dataset)\n",
    "_, losses = predict(model, test_anomaly_dataset)\n",
    "sns.kdeplot(losses)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Predictions"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Compute THRESHOLD with training set data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [],
   "source": [
    "predictions, losses = predict(model, train_dataset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [],
   "source": [
    "loss_array = np.array(losses)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [],
   "source": [
    "stdev = np.std(loss_array)\n",
    "mean = np.mean(loss_array)\n",
    "THRESHOLD = mean + stdev "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Check on test_normal_dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "number of intervals exceeding 1 std dev loss: 33/416\n"
     ]
    }
   ],
   "source": [
    "_, losses = predict(model, test_normal_dataset)\n",
    "exceed_count = sum(l > THRESHOLD for l in losses)\n",
    "print(f'number of intervals exceeding 1 std dev loss: {exceed_count}/{len(test_normal_dataset)}')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Check on test_anomaly_dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "number of intervals exceeding 1 std dev loss: 333/416\n"
     ]
    }
   ],
   "source": [
    "_, losses = predict(model, test_anomaly_dataset)\n",
    "exceed_count = sum(l > THRESHOLD for l in losses)\n",
    "print(f'number of intervals exceeding 1 std dev loss: {exceed_count}/{len(test_normal_dataset)}')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## plot construction error vs original"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_prediction(data, model, title, ax):\n",
    "    predictions, pred_losses = predict(model, [data])\n",
    "\n",
    "    ax.plot(data, label='true')\n",
    "    ax.plot(predictions[0], label='reconstructed')\n",
    "    ax.set_title(f'{title} (loss: {np.around(pred_losses[0], 2)})')\n",
    "    ax.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2200x800 with 12 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 777,
       "width": 2174
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(\n",
    "    nrows=2,\n",
    "    ncols=6,\n",
    "    sharey=True,\n",
    "    sharex=True,\n",
    "    figsize=(22, 8)\n",
    ")\n",
    "\n",
    "sample_size = 6\n",
    "sample_indices = random.sample(range(0,len(test_normal_dataset)), sample_size)\n",
    "\n",
    "sampled_test_normal_dataset = [test_normal_dataset[i] for i in sample_indices]\n",
    "sampled_test_anomaly_dataset = [test_anomaly_dataset[i] for i in sample_indices]\n",
    "\n",
    "for i, data in enumerate(sampled_test_normal_dataset):\n",
    "    plot_prediction(data, model, title='Normal', ax=axs[0, i])\n",
    "\n",
    "for i, data in enumerate(sampled_test_anomaly_dataset):\n",
    "    plot_prediction(data, model, title='Anomaly', ax=axs[1, i])\n",
    "\n",
    "fig.tight_layout();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Assess quality of prediction of flagged intervals"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [],
   "source": [
    "# we want to identify the count of anomalies in each interval in the \"test_anomaly_dataset\"\n",
    "# range: 45000:60000\n",
    "start_point = 0\n",
    "end_point = 60000\n",
    "fault_segments = [ fault_data[start_point+seq_len * i:start_point + seq_len * i + seq_len] for i in range(len(test_anomaly_dataset)) ]\n",
    "# len(test_anomaly_dataset)\n",
    "anomaly_count_list = [ fault_segments[i].count(1) for i in range(len(fault_segments))]\n",
    "anomaly_flag_actual = [ count > 0 for count in anomaly_count_list ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "69"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# there are 50 - 100 minute segments where there is an anomaly\n",
    "sum(np.array(anomaly_count_list) > 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [],
   "source": [
    "_, losses = predict(model, test_anomaly_dataset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [],
   "source": [
    "anomaly_flag_prediction = [ l > THRESHOLD for l in losses ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[642, 289],\n",
       "       [ 25,  44]])"
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "confusion_matrix(anomaly_flag_actual, anomaly_flag_prediction)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "68.60000000000001"
      ]
     },
     "execution_count": 124,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "accuracy_score(anomaly_flag_actual, anomaly_flag_prediction) * 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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