mongo_test3_sensor2_spikes.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "scipy v.1.5.2\n",
      "pymongo v.3.11.0\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "import datetime\n",
    "from datetime import timedelta\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "plt.rcParams.update({'font.size': 12})\n",
    "%matplotlib inline\n",
    "\n",
    "%reload_ext autoreload\n",
    "%autoreload 2\n",
    "\n",
    "import scipy ; print(\"scipy v.\" + str(scipy.__version__))\n",
    "from scipy.fft import rfft, rfftfreq # FastFourrierTransform on Real input\n",
    "\n",
    "from my_TS_Anomaly_lib.utils import millify\n",
    "\n",
    "import pymongo ; print(\"pymongo v.\" + str(pymongo.version))\n",
    "from pymongo import MongoClient, ASCENDING"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# MONGODB"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Launch the mongoDB local server instance (from command shell on Mongo DB server)\n",
    "# \"C:\\Program Files\\MongoDB\\Server\\4.4\\bin\\mongod.exe\" --dbpath=\"D:\\mongodb_data_dir\" --bind_ip 127.0.0.1 --auth"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Get a connection from Python Jupyter Notebook&nbsp;:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "username = 'myAdmin'\n",
    "password = 'my_admin_password'\n",
    "\n",
    "client = MongoClient('mongodb://%s:%s@127.0.0.1' % (username, password)\n",
    "                     , appname='NASA IMS')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "database_name = 'nasa_ims_database'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'_id_': {'v': 2, 'key': [('_id', 1)]},\n",
       " 'test_id_idx': {'v': 2, 'key': [('test_id', -1)], 'background': True},\n",
       " 'timestamp_idx': {'v': 2, 'key': [('timestamp', -1)], 'background': True}}"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "client[database_name].measurements.index_information()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<hr style=\"height:2px;border-width:0;color:gray;background-color:gray;width:80%\" />"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "looking into a few days of test &#35;3 data (during which some spikes are observed on 'sensor_2' timestamp.abs().mean())&nbsp;:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "cursor = client[database_name].measurements.aggregate([\n",
    "    {'$match': {\n",
    "        'test_id': 3\n",
    "            , \"timestamp\": {\n",
    "               \"$gte\": pd.DatetimeIndex(['2004-03-14 00:00:00'])[0]\n",
    "               , \"$lte\": pd.DatetimeIndex(['2004-03-17 00:00:00'])[0] #datetime.datetime(2004, 3, 21)\n",
    "            }\n",
    "    }}\n",
    "    , { \"$project\": {\n",
    "        \"_id\": 0\n",
    "        , \"timestamp\": 1\n",
    "        , \"step\": 1\n",
    "        , 'sensor_1': 1\n",
    "        , 'sensor_2': 1\n",
    "    } }\n",
    "])\n",
    "data = pd.DataFrame(list(cursor))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.sort_values(by=['timestamp', 'step'], inplace=True)\n",
    "data.reset_index(drop=True, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "second_slices_count = 20479\n",
    "def datetime_slice_function(df_row) :\n",
    "    return df_row['timestamp'] + \\\n",
    "           timedelta(seconds = df_row['step']/second_slices_count)\n",
    "data['long_datetime'] = data[['timestamp', 'step']].apply(datetime_slice_function, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(8335360, 5)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Index(['timestamp', 'step', 'sensor_1', 'sensor_2', 'long_datetime'], dtype='object')"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(data.shape)\n",
    "data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Timedelta('2 days 23:52:34')"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['timestamp'][data['timestamp'].shape[0]-1] - data['timestamp'][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{numpy.datetime64('2004-03-14'),\n",
       " numpy.datetime64('2004-03-15'),\n",
       " numpy.datetime64('2004-03-16')}"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "set(np.hstack(list(data['timestamp'].unique())).astype('datetime64[D]'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# test &#35;3 missing data points"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Within the few days on which we focus here, there is one chunk of missing data points as can be observed on both 'sensor_1' and 'sensor_2' plots below&nbsp;:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(15, 6))\n",
    "ax = fig.gca()\n",
    "data.plot(x='long_datetime', y='sensor_1', ax=ax)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(15, 6))\n",
    "ax = fig.gca()\n",
    "data.plot(x='long_datetime', y='sensor_2', ax=ax)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Missing test &#35;3 data points, looking into consequences on the \"timestamp.abs().mean()\" transformation => doesn't explain the spikes on 'sensor_2', since they occured at different timestamps as is clear on the below 2 figures (one for 'sensor_1', the other for 'sensor_2) where time slice with missing data points occur BEFORE the 3 spikes of 'sensor_2'&nbsp;:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x24c50f899c8>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.groupby(['timestamp'])['sensor_1'].apply(lambda x : x.abs().mean()).plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x24c50ff2bc8>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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cUwCG4SMBdgH4HwUUoy5G42IKwDD8xG1dg6gI/J4OutJsQE1OXApARMaKyGoRyReR22Lki4g85OYvFZHhbvpAEVns+RwQkVvcvLtEZKsnb3zjimYYwcfv+XZqozKsnPw3AQVRQSYCdS4IIyLJwCPA+Thr/84XkVmqutJTbByQ635GAo8CI1V1NTDMc56twEue4x5Q1fsbQxDDaI4EeiRwtQ3famAmoCYinh7ACCBfVderaikwE5gQVWYC8Iw6zAWyQgu+ezgPWKeqmxpca8NIEELtfxAVgd8mIHMCNz3xKIDuwBbPfoGbVt8yE4Fno9Juck1GM0SkQ6yLi8hUEVkgIgsKCwvjqK5hNB/8DrWsDb/NU1rDttF4xKMAYs1SEv08ai0jIqnAxcC/PfmPAv1xTETbgT/GuriqTlfVPFXNy8nJiaO6htF8CL35B1EBhCoVjB5AEG9Q8yceBVAA9PTs9wC21bPMOGCRqu4IJajqDlWtUNVK4DEcU5NhtCx8jrWvDb97J5Ejgf2pQ6ITjwKYD+SKSF/3TX4iMCuqzCzgKjcaaBSwX1W3e/InEWX+ifIRXAosr3ftDaOZE2rXghjlEiQfgNE01BkFpKrlInIT8CaQDMxQ1RUicr2bPw2YDYwH8oFDwJTQ8SKSjhNBdF3Uqe8VkWE4v6+NMfINI+EJTwYXwMbO9zBQ73YA708iUKcCAFDV2TiNvDdtmmdbgRtrOPYQkB0j/bv1qqlhJCBhM0sANYBWVc6n61sYaFNjI4ENw0eqwkD9rUcsgqScrAfQNJgCMAwfqYoCCl4Lpz5HKNlMEE2PKQDDCABBbuCCEAUUxIFyiYApAMPwEb/fsmvD70XhQ0tSeutiNC6mAAzDR8JBQAFs4fwepKa17BmNgykAw/CR8Jz7PtcjFn6PUYiIAgriDUoATAEYho/4ve5ubajPcaA2F1DTYwrAMHyk0mc7e234PRWE95YEUUEmAqYADMNX3NG2lXUU8wO/p4Kw9QCaHFMAhuEjfs+3Uxu+TwdtPYAmxxSAYfhIsxgI5tf1vdvBuz0JgSkAw/CRIDuBQ/4J/6KAPNuB7CM1f0wBGIaPBGm+nWjCIaq+zQZqYaBNjSkAw/ARvwdb1YbfdTIfQNMTlwIQkbEislpE8kXkthj5IiIPuflLRWS4mz5QRBZ7PgdE5BY3r6OIvC0ia93vmGsCG0ZCE2QnsM/mqchxAEG8Q82fOhWAiCQDj+As6zgYmCQig6OKjQNy3c9UnPV+UdXVqjpMVYcBp+IsFvOSe8xtwLuqmgu86+4bRouiarRtcBs4vxpfGwnc9MTTAxgB5KvqelUtBWYCE6LKTACeUYe5QFbUko8A5wHrVHWT55in3e2ngUuOSgLDaMZUBjgO1O+J6mw66KYnHgXQHdji2S9w0+pbZiKR6wJ3Ca0b7H53jqfChpFIBLj9930kcGQPIIh3qPkTjwKQGGnRT6PWMu5i8hcD/46/auFjp4rIAhFZUFhYWN/DDSPQBNkEFKg1gX2pQeITjwIoAHp69nsA2+pZZhywSFV3eNJ2hMxE7vfOWBdX1emqmqeqeTk5OXFU1zCaD80hCsi3gWAWBdTkxKMA5gO5ItLXfZOfCMyKKjMLuMqNBhoF7A+Zd1wmEWn+CR0z2d2eDLxc79obRnOnGUwG59ui8LXsGY1DSl0FVLVcRG4C3gSSgRmqukJErnfzpwGzgfFAPk6kz5TQ8SKSDpwPXBd16nuA50TkGmAzcEXDxTGM5kXVYCufKxIDv1cEsyigpqdOBQCgqrNxGnlv2jTPtgI31nDsISA7RvpunMggw2ixhGYBDWYDFxzlFIAqJCQ2EtgwfMTv6RZqw3wAiY8pAMPwEb8b2drwfTpoz10JYpRUImAKwDB8pGpReH/rEYuqMFB/rm89gKbHFIBh+Iq/sfa14e2dHDhSxrKC/cf2+hHbwbs/iYApAMPwkUCbgDyzwV3z1Hy+/vAcKhrQHdi0u5i3V+6ou6BLhFIM4g1KAEwBGIaPBHogmOd7/sa9ABwpqzjq853/wIdc+8yC+K9v7X+TYwogQKgq/121k0q/jK7GMcdvR2utePwT4k720hAFUFruxLweTS8iiLcnETAFECD+s3grU56az8z5W+oubCQEgTYBhb+VJFcDHHEb8YZQXFoe3/W9A8ECeYeahndW7mDMnz6grKLh97ouTAEEiG37jgBQsPeQzzUxjhVBXhTea54KzfbYkB5AiOKSeBVA7O1E56cvLCV/ZxH7DpU1+bVMARhGAAhi+xZqdL0Wm8ZQAEVH4lQANWwnOqGXAesBtFBa0o+9pRNuZAPo9/GOUm4MH0CIohp6AKrK3z5Yx44DR9z9yLwgs33/Yd5c8WWjnCsk6eFGuNd1YQrAMHwkbGbxuR6x8La5EvIBlDWCD6AkdsO2rrCY37++ipv+tci5Pl4fQLD51t/mct3fFzYoTDZE6L4fLjUFYBgJjVZ5WgOHd0WwxvQB1NYDANhdXBq+bnReEFhfWMR9b66KaKA373H8djXJVh9CsjbGva4LUwCG4SMa4JHA3rUKqkxAR9cDyN95MLxdkxO4JCpMNMIHEKDb8/zCAh757zp+/tKycFro/jSKAnC/A2MCEpGxIrJaRPJF5LYY+SIiD7n5S0VkuCcvS0SeF5FVIvKFiJzupt8lIltFZLH7Gd94YjVPStwHHkR7sNE0BDsM1BsFFDIB1b9RUlXG/OnD8H5NYaChBq8ixgRJQVIAew85PZRVX1YptZQk5/7E6+COh2NhAqpzPQARSQYewVnUpQCYLyKzVHWlp9g4INf9jAQedb8BHgTeUNXL3RXF0j3HPaCq9zdcjMQg9Ac4Fl0/Ixho9bYuMITaYW/v5GjeSg8cjmwUa3pLDjV45RUxegD1vmrTseNACQB7XVMV4I6TUIpKGiF0M+QDCEgPYASQr6rrVbUUmAlMiCozAXhGHeYCWSLSTUTaAWcDTwCoaqmq7mvE+icUoQd+LB68EQzCb9mBauIc1OOgTmpAFNCu4pKI/ZpMQIdCCqCyulksSD6AL/c7UUp7D5WG6xXqARxshB5ASNKg+AC6A96hqQVuWjxl+gGFwJMi8rmIPC4iGZ5yN7kmoxki0qH+1U8sQvbVw40QaWE0D2LF2vvFzoNHWLhpb3hfPRuhKKCSoxgJvOtgtAKI3bAdLnMazwp3mbSgzgW086CjAErKK8Mva8khE1AjOoEPBSQKSGKkRT+PmsqkAMOBR1X1FKAYCPkQHgX6A8OA7cAfY15cZKqILBCRBYWFhXFUt/kS7gEcgwdvBINKjxOgvKKS/67e6Us9Fm3ey9ce+JDLHv2Eykpl0vS5Ef6JUD0/XFPI1x74MO6G7o3l2/nW9LkRadFvyQ+8vYYP1hSGG7y6nMDlFZVM/3DdMfufVFYqs5Zs48v9Rygtr2RXUSnds9oAsMc1A6UkO01pY/QAKo+hCSieNYELgJ6e/R7AtjjLKFCgqp+56c/jKgBVDc8LKyKPAa/GuriqTgemA+Tl5QXpRaDROVJqPoCWhne+nWkfrOP+t9bw5JTT+MrAzsesDjsPHOEbf/2kav9gCZ+u311VR9Xwm/9nG/YAsHTLPs44vlO4zN7iUhTomJEaTqusVK7/x6Lq1zt4hLdWfMnhsgpO75fNg++uBeD2C08AqkxAkVYfZ+f6vy/kDXfA1e6iUn42/oSjlDp+7n1zNdM+WMekEb0od0fnDuyaydZ9h9l3qIweHQjPlXQ0TuDS8koqVWndKhmAilAYaBCcwMB8IFdE+gJbgYnAt6PKzMIx58zEcf7uV9XtACKyRUQGqupqnEXgV7rp3UJlgEuB5Q2WpplzpNwUQEvD6wQOxZKHbMzHihcWbY3Yv2vWioj9sgqtNsCpYO9hAH7/+hcM7JLJj59bAsDGey4Ml9m673DEMdeM7sum3cXk7yxi6t8XAjCsZ1Y4v7oTuHoU0Bue0bYF7vkrKjVsgmkKPs7fBTjx/59v3kfbtBQuPaU7763ayZ7iUv76fj67ihwz18EaekZrdhykUpVBXdtVy/v6X+awbd9hlv3qa1RUanjW1EA4gVW1HLgJeBP4AnhOVVeIyPUicr1bbDawHsgHHgNu8JziB8A/RWQpjrnnbjf9XhFZ5qZ/BfhRYwjUnAn9AcwJ3HII2XsrtaoRa4zRpPXh1aWRHfo3oqY0KCmv/ntct6uI5Vv387cP1ocb/2hCUzqEuOOiweR2yWTj7qrJDhdvcWJCUlOSKHLDQ0srKp17UIcPoOhIOf9dtZNhv3qLbR5lE/0CVVpeiaqyt7iUA0fK2FtcysUPz2HWkmhDRnVUlY27igGn91NaUck9l53ECd2chvyqGfO4943VEXUKMXvZdv7nHwvZf7iMCx74kLF//qja/D6qyuodBzlYUs7e4lKWFFTFyDz20QYWbNxTZx0bQjw9AFR1Nk4j702b5tlW4MYajl0M5MVI/269atqMeeDtNXTv0IZv5vWstdzhsmOn+f2gvKIybCs1HLwDgRuiABZu2kOSCLldMslITQ47bWOxu6iEH878nF+MH0yHjFas2Hag1nPHsrVvKCzmpc+3Vkt/dt5mJp7WExEJh0t66dmhKgr83VvPYUNhMau+PMD9b61h3c7icN6rS7dF9CAqKpWfvbgs4lwfrClkwcY9FJdW8MLCAn5wXi47DxxhxN3v8quLT2TyGX0or6hkwO2vc83ovjwxZwOd2qZx5vHZLC3YzytLtnHxycdFnPPTdbtZv6uI74zsDcCuolIOlpSTk5lGoevMPrlHFumpyTHvlTcM9A9vrGLT7kO0b9MqnPbWih1cOLRbeH+bp7d32bRPWF9YdQ8ALp/2KRt+P77W59kQWtS/cd6GPdzwz8aZryNeikvKefT9dby6dHudZUMDweqy/R04UhaosLh4yN9ZxPG/eJ1ZS7aZicuD1wSUkuT8Hcvr+ft8fdl2Lnv0Uy796ycMufNNnvpkI6rK/sNVjVFFpfLtx+by6tJtvL+6kI/zd/Pj5xbz3PwCgLBTMxbRawCMOaEzy7fuD78Ze/nZi8v4YE0hZRWVrNzurCH87q3n8OnPvgpAjw7OdUSgf05bxgzuQl6fjoDjiA5x88zFEf+ZL/cf4dl5m6tdr9j9rzy/qABVZYtrmrpz1goOlZbzfXcFsifmbABgV1EJs5c5543VpE56bC6/eGl52Ayzcbcj49gTuwLQrnUKPTq0oUN6KmNOqO6nOXC4nI/WFjJjzoawSe+FRQXh/C+2Ryrbzzy+lujGP8TanUUx0xuDuHoAicLNMz9n+/4j/Pj8Io7vnHlMrvnJut2UVlSy71BpnWVrGwewfOt+OrVNI7N1CkPveosbzu3PT8cO4qO1hby1Yge/uWRIzHOWVVRy88zPufasfpzSqwMl5RWkpcR+e6mNykrlwJEystJT6y4cg9AP/4fPfk6PDm2Y8/++Gtcxry/bzo/OH+AJQ6zgwGHnjSzEXbNW8OrS7Sy4fcxR1c1PvLHuoR5AfaYB3rS7mN+8ujIi7VevrORXr1SljT+pK7eMGcAn63bzybrddMxIpVWysOrLg6z68iDnDMghIy2ZrfsO0619a7ZH+SBCL0zDemYx8bSetElN5p0vdka8vXpZV1jM+6sLeeqTjQD065QRfn6Dujr/u/suPzlc/pReWXRqm8quolJat0qKOd3EA++sqeM+HGL+xr0RYwx+/uIy3l9dPXKwrEJJTU6isKiEXUUlHDxSTnFJecSL4aovD5AkwnurnKisKWf24Yz+2Yzo2xERQQQeuyqPvj+LMIzw8bpdESa0M/pn88m6qka+0BMSW1peyZ/erl0ucBTDgC5N0161qB5Au9ZOV2zGxxvDYWyNEbcbi1ufW8J3n/gsHNYXz+IOoYY/Ov5XVbnoL3MY/9BHbN/vvOH89f11HCmr4LtPzOPvczfVOLjm8837mL3sS+6ctYLPN+9l4O1vMGftLt5Y/iUDbn897sU5/jlvM8N+/TbrCmt+G/li+wH63PYaS7ZUH+vn/XOFHIh1MeXJ+Tz0Xj7b9x/h7ZU7+MfcTVz394Wc9rt3InpAT32ykV1FJcfcdt4YxOrIHYp6Jl9sP8CnnkbEy92zv6CopJznrju9xmvMXvYlyw3hFCgAACAASURBVAr2h/f3FJcysm82N33leM4b1Jk7vz44/N8Yf1I3BtbQ2Ew9ux8TR/TigsFdyXBNICP7dqxW7qF314YbfyDCfNG5XWvW3T2ey0/tEU5LS0kOm0c71vCCESsmPtuNOBrUNZPUlCRmzNkQ8bb9n8WOjX9EVB0vGNyF8Sd1ZX1hMWP//BFfuf99LvrLHL731Pxwmekfrueiv8zh0ffX0TYthT7ZGYw7qRvZbatePKLNMheffFy1MFCvnIO6ZvJ/C7bwg2c/B5znWrD3cLWXt29FmYpDvZCmoEUpgMzWTofnX59t5q5ZK5izdhdD7nyTeRv2sGl3Mb99deVRNSKHSys4UlZBWUUl+w+VsbRgHy8sKuCjtbt4y30b2FtHD6CyUik6Uk5KklBSXsnBI1UKIzQ74p7iUj7fXNW4XvZoVehedMRFiMVbnG51p7Zp4Yb5tWXb+fM7aygtryQ/zu7lMtc59eTHG2os89Fa523LaxteWrCPA0fKwjKECA2mCZG/8yAro2zRu90RpMu37ueuWSu4e/YX4Te6vTEUaigSozb+u2onu+Mod6zw/tpCztaiqIFS4x78iEmPzeXEX77B+sIilmzZR2WlcqSsgg/X7OKSU7ozom/HsHklFsu27qdNq2RW/3Ys9142lDsuGsxPvjaQJ64+jX45bclIc/4bbdNSeHxyHj8dO5C1vxvHd0f1Dp8jy7Vlt0lNZqD7Jj/mhC5M/+6pLLrjfK44tQciRJieYhErYmfM4C6AYxN/8urTuO/yobWeA+Af33dmm+nbKYPeHdN5Y8WXYbPR1Wf0AWBAl7ac4NY1OyOVVb8Zy/Sr8sjJTGP/4bKI34z3N+o1P/XLySCphiij3tlVPo1B3TLx6oRfXXwig49znMVXjupF1/atAXhlyTYufOij8MvhuQNy6JDu3Nubz8vlD5cP5bUfjubVH4wmOyOVhZv28ptXV8b9X60PLUYBrN1xkDU7qiZven5hAVc+4QxPWLFtPzfPXMzjczbw0drCsP0vmk/X7Q6/gYd4Z+UOTvjlGwy64w0mz5jHNU/P5+KHPw7n7yoqpVv71hw8Us6tzy2hrKKSLXuqL/m4/3AZ5ZXKid3bA5ERFN4H/7/PLw1ve513BXsPUVGpnH3vf3np8wJ++fJy/vbBOh7/yGmwyyoqw3/y/J0Hw2aGCY98zIw5kY36y4u3hge4hEh27dP/mLuZ990f7qfrdkcozDapzvkPHC6jvKKSpQX7uPjhj7nthaXVGt0Rv3uXuet3c/t/lrHqywOM+dOHjH/oIwoPlpC/s4g3ln9JmRsO+PhHG9i673DEW+DWGL2IP7yxij63vVajCeUfczcx5an5PPr+upj5DWHT7mLyfvsOG2LYxWvD25NZsNFR1jXNJ1NcWsFX//gBEx75mGc+3cin63ZzuKyCMSc4jed7t57LaDc2/+bzciOOfW3Zdob2aO+8bZ/WM9yAhwg1yq1bJdOzYzo3nHs8rZKTuPrMPoDTCI7qlx0u36uj0/CltUrighO70jEjlfuuOJlXbhodcd7f1mCajObkHlXhoF8Z1Jkr8nry1+8M56rTe/Pv62P3bgZ1zeTey4dy96UnRTTEAJNdBTCke3s6uW/tPTqmh2PtQybEwd3aMf4kx75/kvvfi6ZVLYELr/xgNJNG9AIcf1/oWs98bwSTz+jDoK7teOF/zuBXFw8hx9N7WLHtAH9+Z23YpxC6nyElceJx7RnSvT29s9N5e+UOnpizodp/sjFoET6Ag0fKOP8BZzbCM/pnM7JvdoRN8VBpBQfct5arn5xPm1bJXHtWXyac0p1/fbaZ8wd3YVjPLCY9NpdeHdP58KdfARwl8pN/V4XAeW19v7xoML92bbNX5PXkoXfX8sKiAvp2Suf+t5xr/2zcIK47pz9Q9fY65Lh2LNmyjy/3l4T9FLGcQDOnjmKiZ4TlI/9dR1Z6Kpv3HOJH/1c9LG/HgSPhBnT+xr0Reb9+dSVfHjjCt0f0orxSuXnmYk7vl82zU0eF67Z5TzF9O2Wwu6iEt1fuILN1CpMem8sN5/bnJxcMJClJwr2WA0fKeOCdNTzyX6eh3bT7EJlprYgmVH+v8+vWfy/hwzWRdtt5G/eQmZYSEWO9dd8hTuoR+Yd90Y1nv/zRT/j9N4aG3752HDhCkkjY3vr0pxtRnLDExuLFRVvZVVTChIfn8OCkU+IeyOU1AYVml3xuQQELNu5l/a5ifllDHf+zeBujj+9ESpJwmutETU1JCr+Bdo/qDRQeLKm1MQ69uEbPSdQ/py3v3noOOZlpEW/Bt4wZwPpdxXzNdY6GGNK9PT/86vE89F4+3x/dlys9PYjaSE4SHpw4jHaeiJnxJ3Vj/ElOxExqchKlUYpdRMKmo54dIxVA304ZvHjDGQzokskrbrhnlufcoUZ9YNdMfnfpEK4Z3Zd2rVvxhzdWkZaSzGvLtjPmhM60SU3hhnP711jvdq1bccmw43h23mZO7pFFRloK976xOkLBntrbmeUmFDl09oCc8G/8pB7tERF6dExnScH+ar2jfjltWeT2+qOVdmPQIhTAzHlV0xSN7JvNzWNymTK6Dz97YRmvLdvO3z5YxwGP7e5wWQUPvZfPnPxdLNq8j/kb93Dn150/4uY9h3hhYQEHjpRFONq8/OvakZzeL5tfv7qScwfm0D+navqj2cuqHEQzPt7gUQCOdh/ivoX834ItnNq7A5Wq/CdGuN2oftkc37ltuHewcNNebpm5uFq5Tm3TuGhoN15YVBBhVopm+ofrmf7h+vD+p+t3U15Ryf1vrWHaB05Dfubx2XRqm8raHUUUHnTq+9f317GkYB9Xnd6HPa4MXx44EjFVbp9OGewuLqFXx3Qe+fZwBnRty/MLC/jFS87YP6/ijG78vzuqN3+fu4kLh3bj+M5tWfXlQZ5fWMDWfU4PKVZE0ZKC/dw9+4uwiWDk3e9G5JdVKE/M2cCSLfsoKa8kNSWJtPAnuWq/VdR+SjJpKUme/Kr9UDz7gSPlTHlyfsSAKC8HjpTx7GebGdStHecMyKlxErj1bk/i169W/4317ZTB4i37OFRazgnd2tHGE5IYGkSVk5kWoTQzUpO5wDWzxMRtd2L5JPrntK2W1qdTBrOi3vZDXDj0OB56L5+xQ7rGzK+JCcOipxirYsEdY/jJc0t4a+WOmPmhN3svw3s5DW9oojavcgkNyLpseA/SU1M4tbejRB+ffBoPv7eW15Zt57isNvx6Qt09mJH9sllw+xg6tU3jfFW+ldczwlcQIvQsxp7YleG9svjzO2u5ZcwAAG4bO4i9xaWcNyjyxWFk3448v9Dxa3jDSRuLFqEA0tOqfhwZ7na71q145DvDWfvAB6zZEdu2FtK863YWRUySdeu/Yw986dUxHRHnhyciLPnlBaSnJUc0cCu3HyBJ4LisNuE/W8HeQ+HRhie6b62vLNlG747pbNxdzOeb9zKoa2ZEowrQJzs9wjy0OYZpKSczja6uCaqmqI15Pz+PD9fuiujNAFz5xGfMXV81EKVT2zTSU1N4ffl2Cj02/I/zd/Nx/u5wKOHyrZG2/DJ3/pTe2enht/YLT+oWVgDgTCHQvk2rCBPKHy47iW/m9eTcgTmM6pdNRloKqsrsZdtZtGkv14zuW6Pdv2NGKvk7i/jW3z4NpyUnCWOHdOU11767YNNeTuvTgdSUJErKKikqKaekrJKS8gpKyispLa+kpNzZD5mj6sv7q3eycvsBbjj3eABeWrSV37++ivTUZFb86mtHNQnc987swx0vr2DNjiKuOj3yDXt47yw+Xb+bHlltmPWD0azYtp8tew5z2fDutcaSS8ygyKNjYNfMGhXg0dKudSv+cNlQ+nZaR/v0VuHGPURu5+pKKpznOrW/dmKVAjy9fzZL77og7Pz2ElIm9Ym0Dpl+RCRm4w9wer9sXly0lZN7tmdQ155MPr0PHVxHds+O6fzr2lHVjhmd26laWmPSIhTAd0b25tsjevHuFzs5e0BORF6skMuTe7RniRs18dOxA7n3jdXcPXtVndd57rrT6dIuLfxHa+86dqI19+jcHPJ6d+BPb6/hx88tDpsuIDIe+5Wl29i0+xC3nj+A47LaVFM83do7Za8+ow/zNuxh5fbqA3pyMtPCg28WbdpLq2ThsuE9mDnf6RXdcdFgOrdrzTdO6U5Wm1YsKdjHvkNl/H3uJuau38N3RvYiJzONP7+zloy0FHI7t+XZeWXVGnlwHNE5mWn06NCGtJQk7rv8ZG745yJWbj9AUUk553rufVZ6Kq/cNJrpH63nlSXb6NKuNeOGdI0Ii8vJdO7leSdU/XFFhD7ZGby2bDuXrNxBakps++ysJduqjfTs2q51hB0W4NErTw3/eWsjNES/tLxKQZSUV3CkrJI9xaVcNWNeRPnlW/dTXqlc/aQTWZKZlsJ7q3byX9eJfai0gvydRXGN53j++tPp1DaNn76wlHkb9jDhlO7c8bIzXcPo4yMbiB+NGcC4Id3CjV7fThnVzheLsUO6Mu2DdZw7MKfuwj7RISO1xrl/Lj2lO72z07ns0U+r5Q3rmRV+Q/cSq/EHx7H929e+4Iq8HjHzj5bLT+3BuQM7h/0PHTLqDqnu1r4Nk0b04uwmUgQtxgksIowZ3KVag7FtX/W34pdvGk2/ThlcMuy4iLlKHvm2s9DZ7ReeEG7UQ9EGAJ0z02K+ZYWij0IM7NI2/Md8cdHWiDC1DumpZLrO2k27D9GtfWuuPbtf+K0k9GMG+M4ox/n0nZG96JDh1CdkQwzVr13rFM48PpvkJCfuu3d2RrhBPSu3E9eM7gtAUpJzf269YGDY3AVw0dDjwg62vcWlYXvz/y3YQtd2rfnn90fiZVDXTF664UxmTj2dnh3T6dIujYK9hzlSVlHNHnxSj/bccdEJTBh2HFPO6MMPz8vl9ZvP8tzP1tXuJcCTU04D4JcvL2ey2/CGnGjDe2WRlR77j925XVq1Ua3ZcfwJwbmvbVKTaZ/eis7tWtOzYzrHd85kSPf2Ec7REJNnzIvoUd3x8opw49+1nSPXzPlbwgOXauPU3h3o0ymDp6eM4JPbvhrRcJ0T1WCnJCeFzYj1YVjPLDbecyEnHlf/Y4OAiITNOKf0yqqWH4+SD9GnUwYb77mQoT2qn6chiEjE+JV4+f03TmLcSd3qLngUtBgFUBM/GzeI1JQkXv3BaKae3Y/Lhjta/91bz+GBbw0j13XEntq7AxcO7cbSuy7g+2f1CztkrhzVixdvOIPfXjKkxlCx/jlteXLKabz6g9H8fPwgppzZNzwgJjU5iccnV82UkZQkzP35eYxwG9pzB+bQulVyOEzs7AE54R/zoK7t2HjPheR2yeSmr+Ryco/2TD69D1DlMEoSISs9NeyIymydQl5vx+xx3dmxnVve6RpO6ZUVjo4Y3qsDQ7q355vum1HrVkkMdudEad3KOWZ3UWSkQqixOqFbu/CITy+dM1vz4MRT+OZpPcPlqvJi/1m6tGtNVnortu8/Qrf2rXlw4jDGufbmM/p34oz+kQ3y7y517LihqBbvS0BjDLEPne/kHu3DLwm7i0trDNs7oVsm/XIyeGLOBtJSkrgw6s/920uGsOiO86vVsU1qMse5PcSHJp3CvZcNPapBfYnMyl9/jf+bWvOYCCOSFmECqo3vn9WP75/VDyDizSn0p8vJTOOf3x/JyW5PINSgPTzpFGYt2Ub/nLaISDWbZDShqBDvNd645Sz6ZGfQulUy910+NGzDz0hLCb/Jh3ogp/fPZsbVeZydG7uLfnr/bF6+aTSHSyvo0aENbVunMG/DnnBUyKi+HZm3YQ+tkpPokJHKmt+Oq7W+93zjJDbsKqZ1q2SO75zJRz/9Stg8ddXpfXhuQQEbdx+iQ0Yq835xHuCEdoZ6IiFCjrdu7WO/zddGx1rezru2a82+Q2WMHdKVCcO6h3tyh0orIsL2nppyWtgxmiSOgln9m7HVRnA2lA/+91w6tU1jtRtqHB21BPDxbV9l5rzNXH5qD5YU7OeHz37Oz8efwPwNVX6W3M5twz2la8/qS9sY0VNAtTlsDIf01BbfpNULu1txcObx1e1vndu1DiuOo8U7NewVUaP/Qiacwd0chSEifHVQLVEcLm1Sk/ne6L584EbT9HZNI6HubEEMR3EsJrqxzSG8YXYnHteO0/tlM86Nnw6Zal74nzPCppgQIfNXl3bxK4B+nTJYv6u41onjQo18yJQ2pLtzL/t3zmDzKkfGR749nHMHdg7PtxKqp4jwp2+eHDO65Wjpne3UY0CXTE7u0Z4bvnI817lTHp8/uAtfHdSZ7lltuPWCgeHyw3tl0aNDOu94Ilu8K2794sLGC1M1jFiYAggov7lkCGfmdgo3bPXl7NxOTLtyeNjeP9SNvqkpEqg+iEh4jICXkJnJS8jHmVmDwy0WL914ZnhcRk2ERs2GFMBZuTm8ctNohnRvx2o3Wqpre8eENKJvR26/8ASuOLVKyX5jeOM6+EK0TUvhZTc88l/fH0n/zm1rVH49XOe8d+RsrKmXDaOpMAUQUHIy0yKG4dcXEWHskCrbcud2rTl7QE7Yfn+sKC6tikOPl/ZtWtUZ89y1fRvW7CgKN6JAOMT0tnGDGNG3Y9gpKCIN7q0dDWfE6DnGotjjmD6aNXcN42iJywksImNFZLWI5IvIbTHyRUQecvOXishwT16WiDwvIqtE5AsROd1N7ygib4vIWve7xS8K39Q8870RXDT02NqOO7iTe0WPTG0of/rmyfzhspNihjmmp6Ycczkbwl8mDWOi6wSvLZ7dMBobqSsOWUSSgTXA+Thr/84HJqnqSk+Z8Tgrf43HWRLyQVUd6eY9DXykqo+LSCqQrqr7ROReYI+q3uMqlQ6q+v9qq0teXp4uWLDgaGU1fKC0vJJXl27j0lNqH4hkOEsPDu7WLq74cMOoDyKyUFWrLcwVTw9gBJCvqutVtRSYCUyIKjMBeEYd5gJZItJNRNoBZwNPAKhqqaru8xzztLv9NHBJvaUyAk9qShLfGN7DGv84OPP4Ttb4G8eUeBRAd2CLZ7/ATYunTD+gEHhSRD4XkcdFJNRn7xJaFN79jm/2LMMwDKNRiEcBxHp1i7Yb1VQmBRgOPKqqpwDFQDUfQq0XF5kqIgtEZEFhYfXVfQzDMIyjIx4FUAB4g9R7ANviLFMAFKjqZ2768zgKAWCHiHQDcL93xrq4qk5X1TxVzcvJCe48JYZhGM2NeBTAfCBXRPq6TtyJwKyoMrOAq9xooFHAflXdrqpfAltEZKBb7jxgpeeYye72ZODlhghiGIZh1I86xwGoarmI3AS8CSQDM1R1hYhc7+ZPA2bjRADlA4eAKZ5T/AD4p6s81nvy7gGeE5FrgM3AFY0jkmEYhhEPdYaBBgkLAzUMw6g/DQkDNQzDMBKQZtUDEJFCYNNRHt4J2NWI1fETkyV4JIocYLIElYbI0ltVq0XRNCsF0BBEZEGsLlBzxGQJHokiB5gsQaUpZDETkGEYRgvFFIBhGEYLpSUpgOl+V6ARMVmCR6LIASZLUGl0WVqMD8AwDMOIpCX1AAzDMAwPCaMA3OmnE2LOYRGpe/HfZkKiPBd7JsHEnkvDaPYKQETSRORR4ANguoh8w+86HS0i0lZEHgBeF5G/NXNZEuK52DMJJvZcGodmrwCAi4FuqjoAeBX4tYgM8LlO9UZEugN/x3km43F+DPf6WqmG0eyfiz2TYGLPpfFolgpARLwLpyrOojOo6svAG8B1IpLlR90awBHgcVW92Z1F9TlgsYgM9blecZOAz8WeSTCx59JINCsFICLHi8hzwFMicqG7uthh4ICIhFYBvw9nzYET3WMCaesUkYEiMk1E2gCo6m7gfU+Rnjgrqq32oXr1IlGeiz2T4D0TsOfSlM+l2SgAEUkC/gwsw+n+XQTcAbwDDAJOFpFUVd2B0yX8EYAGMM5VREbjyDAV+LGbJqpa7CmWCmxU1RIfqhg3ifJc7JkE75mAPRdo2ufSbBQA0A3YB9ztdpN+C3wVGAY8BXzT3QZn4fq9ItLKh3rGw27ge8AAYIqI9I7xkE8B1gGIyLUB7t4mynOxZxJM7Lk0Ic1GAajqViAPON+z/1fgV6r6b2AN8DMRuRXn5q1X1TK/6lsbqvoFkK+q+cDbwK8h/IYQ4jwgW0ReAL6NY/cMBN4uaXN+LlFyNPdnEq5nc34mUE2WZvtcok03gXwuqhqoD46WPCMqLdn9vhqY40nPwnEAnYazMP1ZwIPAlX7LUZMsnrzQKOxMnJXUzovKfx1YAVzutxweWa5p7s8llhzN+Jl0B+4HUpvzM6lJlmb8XI7DmbbhxFD9g/pcfL9ZMW7eCveBDvc+fHc7GXgPuMWT9jQwxO9611eWkDzu9y3Aq+72JPeHcK7f9ffU8w5gIfDjGvKbxXOpS45m9kyuB5YDDwNtgaTm+EzikaWZPZfbgU+AMuB2Ny2wbVidawIfK9wuXTqwBVgKnCMiq1W1WESSVLVSVStE5H+B50VkI86PZQhQ6VvFY1CHLKLuU8ett6r+WUTuFJH9wPPAS6r6vh91j0ZE7geuAzpqVHc0JEtzeC61yRFFoJ+J5/dzIjBRVZfXUKY5PJM6ZfEQ9OeSA/we538/ASeKZ6zr1C0NlQvacwmMD8Bt4ItwuniFQB/g1FAegIgkq+pCnLeAU3AiA25W1ZW+VLoG6pBFPeVURNqLyH04ymK8ql6jqoGwYbo8jtOTaS0iA0TkeyIyCqpkcRV00J9LjXJ4CfozcesnwLlAoYicKCL3icjVItLRUybw/5V4ZIkqG9jnAhwAfqmq31bVQpyong6qWur1VwTuv+JHtwPIxrGRnROV3gd4yt3+MfAHnBvVI9TW+FHfppDFUy4JGOq3HHXIcgdOl/YT4E6cZTmvoqpbHqjncrRyNJdngmNG+DXwAPAWTs9mNnA3MCgkg991byxZmstzCcnjfvfGUVSdovKD9V/x4cb1Bl7CCe+ahtMl9+Y/6P4o/objzX/W75vU0mUBOuLYNtPd/a8Dc6MbziB8EkWO2mTBsXtfixMrfq2bdhIwAzjb73q3VFk8+YJj2nkKuNDv+tb28cMEVAT8Dujr3sjzQl0kN353KI7dvBtOVEC+iOT6UM94aBGyqOoeVf2tqh5y91/BGb3Yw6/K1kKiyAGxZUlRp5V5F1iLY0ZAVZfhLBoeGBt/FIkuizd0NWTmbQ+UQrWw1cBwzCulzjDuFap6AHgWx5Pf3c1bCswBfqSqFwNPAIcISFxvNC1FFi8iMlhEXgI2AtuOaSXjIFHkgBplOc7NWw88AnQUkQdE5GWc//MGv+pbGy1AlvBvzPW/FOH8rr7vHhNIZdZkK4JFe7+jol+85Z4HPgYe8ZYPEi1clgdVtdIdkXgR8Cvgb6r6yDGrdAwSRQ44Kln+oqrlblo2jhM1S1WfOEZVrpEWLkvoNyaqqiJyDo556KVjWO360RR2JeAGYB6OI+dKT3qSZzvkLDkHmAUcjzPku/extIGZLHHJcg2OGSsLaG1yBEKW7wF9/a6/yRJTlj5+1z/eT6OagESkk4g8CYwFfogztPkyV7OjVeGcQ1W1wk37AMdhsgj4DlDRmHU6WkyWarIkqeo+9THsLlHkcOvYUFm+jRPR5DsmSzVZyv2o+1HRSNoyJaQRgVGe9InAA579Ljiz4H2EY/9LwxkavQm4xG9taLIEU5ZEkcNkMVmC9mmQD0BEUoB7gFbAa6r6lpueDEwG7gJW4nj4/wPsAL6qqg95ztFLVTcfdSUaCZMleLIkihxuPUwWkyV4NEBjCs5Mdv/A6Vq/DdyIa1sFRuNO7ARcAXxG5JwYKX5rP5MluLIkihwmi8kS5E9D5gLKxJm7+muqelBEduGsz/lN4BlVneMpuxxnGH57EdmvDkGyk5kswZMlUeQAk8VkCShH7QRWJwZ2I479C5wwqM+BkSLSNVROnLUv7wAOq+N8a5q40wZgsgRPlkSRA0wWkyW4NDQK6CVgmIh0U2fgw1KgBOgqIskicjvwKbBGVW9s4LWaGpMleCSKHGCyBJVEkqXeNFQBzMGZD+NqAFVdBIwA2qoTIjUHp3t1VwOvcywwWYJHosgBJktQSSRZ6k2D1gNQ1e0i8h/gHhHJB+bjTHVQ7ua/3+AaHiNMluCRKHKAyRJUEkmWo6FRpoIQkXE4XvIzgIdV9eEGn9QnTJbgkShygMkSVBJJlvrQaHMBiTPHSkJ4xk2W4JEocoDJElQSSZZ4abLJ4AzDMIxgE8g5qg3DMIymxxSAYRhGC8UUgGEYRgvFFIBhGEYLxRSAYRhGC8UUgJHQiEiWiNzgbh8nzvJ9TXWtYSIyvqnObxiNjSkAI9HJwlneD1XdpqqXN+G1huHMJmkYzQIbB2AkNCIyE5gArMZZ1OMEVR0iIlcDl+CsADUE+COQCnwXZzKw8aq6R0T6A48AOcAh4FpVXSUiVwB34iz7uR8YA+QDbYCtwO+BDcCf3bTDwBRVXV2Pa78PLMaZm6Yd8D1Vndc0d8pokWgAFiWwj32a6gP0AZbH2L4ap8HOxGnc9wPXu3kPALe42+8Cue72SOA9d3sZ0N3dzvKc82HPtdtRtdTgGOCFel77feAxd/vsUN3tY5/G+jRoMjjDaOb8V1UPAgdFZD/wipu+DBjqzgN/BvBvEQkdk+Z+fww8JSLPAS/WcP72wNMikgsozrKDcV3bU+5ZAFX9UETaiUiWqu47SnkNIwJTAEZLpsSzXenZr8T5byQB+1R1WPSBqnq9iIwELgQWi0i1MsBvcBr6S0WkD84bfbzXDl8q+tK1yGMY9cKcwEaicxDH1FJv1FkxaoNr70ccTna3+6vqZ6r6S2AX0DPGtdrj+AOgatWp+vIt93qjgf2quv8oz2MY1TAFYCQ0qrob+FhElgP3HcUpvgNcIyJLcNaEneCm3yciy9zzfggsAf4LDBaRxSLyair83gAAAGpJREFULeBe4Pci8jGOw/do2CsinwDTgGuO8hyGEROLAjKMgOJGAf1EVRf4XRcjMbEegGEYRgvFegCGYRgtFOsBGIZhtFBMARiGYbRQTAEYhmG0UEwBGIZhtFBMARiGYbRQTAEYhmG0UP4/SZrCPr+KdOQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.groupby(['timestamp'])['sensor_2'].apply(lambda x : x.abs().mean()).plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<hr style=\"height:2px;border-width:0;color:gray;background-color:gray;width:80%\" />"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Investigate test &#35;3 'sensor_2' timestamp.abs().mean() spikes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For test #3, compare signal spectres for same timestamp between 'sensor_1' and 'sensor_2' when 'sensor_2' shows a spike (on timestamp.abs().mean())&nbsp;:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "timestamp = pd.DatetimeIndex(['2004-03-15 15:35:20'])[0] #datetime.datetime(2004, 3, 21)\n",
    "\n",
    "cursor = client[database_name].measurements.aggregate([\n",
    "    {'$match': {\n",
    "        'test_id': 3\n",
    "            , \"timestamp\": timestamp\n",
    "    }}\n",
    "    , { \"$project\": {\n",
    "        \"_id\": 0\n",
    "        , \"timestamp\": 1\n",
    "        , \"step\": 1\n",
    "        , 'sensor_1': 1\n",
    "        , 'sensor_2': 1\n",
    "    } }\n",
    "])\n",
    "data = pd.DataFrame(list(cursor))\n",
    "\n",
    "data.sort_values(by=['timestamp', 'step'], inplace=True)\n",
    "data.reset_index(drop=True, inplace=True)\n",
    "\n",
    "from datetime import timedelta\n",
    "second_slices_count = 20479\n",
    "def datetime_slice_function(df_row) :\n",
    "    return df_row['timestamp'] + \\\n",
    "           timedelta(seconds = df_row['step']/second_slices_count)\n",
    "data['long_datetime'] = data[['timestamp', 'step']].apply(datetime_slice_function, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "scipy v.1.5.2\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# sample frequencies of the measuring device (in Hertz)\n",
    "# (in our case, each measurement lasts 1 second) =>\n",
    "SAMPLE_RATE = second_slices_count+1\n",
    "\n",
    "xf = rfftfreq(second_slices_count+1, 1 / SAMPLE_RATE)\n",
    "\n",
    "fig = plt.figure(figsize=(15, 6)) ; ax = fig.gca()\n",
    "yf = rfft(data[data['timestamp'] == timestamp]['sensor_1'].values)\n",
    "ax.plot(xf, abs(yf))\n",
    "#ax.margins(x=0, y=0)\n",
    "xticks = [millify(xtick, True)+'Hz' for xtick in ax.get_xticks()]\n",
    "ax.set_xticklabels(xticks, rotation=0, ha='right')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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AAAAAEGCUOY+uuOIKvyMAAAAACDDKnEezZ8/2OwIAAACAAKPMeWCSCgoK/Y4BAAAAIMAocwAAAAAQhShzHnXqlOR3BAAAAAABRpnz6I47vuZ3BAAAAAABRpnzaMWKFX5HAAAAABBglDmPKHMAAAAA/ESZAwAAAIAo1KIyZ2bfMbONZrbBzGabWUcz625mC8xse+Rztybr32dmWWa21cyubnl8AAAAAAgmz2XOzNIlfUtShnNurKRYSTMk3StpoXNumKSFkfsys9GR5WMkTZX0uJnFtiy+P8xMM2bM8DsGAAAAgABr6TTLOEmJZhYnKUlSrqQbJD0bWf6spOmR2zdImuOcq3XO7ZKUJWliC58fAAAAAALJc5lzzu2T9GtJeyXlSSp1zr0tKc05lxdZJ09Sr8gm6ZKymzxETmTsGGZ2p5llmllmYWGh14htas6cOX5HAAAAABBgLZlm2U3ho22DJfWV1MnMvvxJmzQz5ppb0Tn3pHMuwzmXkZqa6jUiAAAAAJyxWjLN8kpJu5xzhc65ekkvSrpQUr6Z9ZGkyOeCyPo5kvo32b6fwtMyAQAAAACnqCVlbq+kyWaWZGYm6QpJmyXNk3R7ZJ3bJb0SuT1P0gwzSzCzwZKGSVrZguf31aRJk/yOAAAAACDA4rxu6JxbYWYvSPpQUkjSGklPSkqWNNfM7lC48N0cWX+jmc2VtCmy/t3OuYYW5vcNZQ4AAACAn8y5Zk9bazcyMjJcZmam3zGOMP6ht1W85i1lv/wbv6MAAAAAOMOZ2WrnXMbR4y19a4JAMpMqKyv9jgEAAAAgwChzAAAAABCFKHMe9eItEwAAAAD4iDLn0Re+8AW/IwAAAAAIMMqcR4sWL/Y7AgAAAIAAo8x5tHHjRr8jAAAAAAgwyhwAAAAARCHKnGfmdwAAAAAAAUaZ88AkfeUr/+Z3DAAAAAABRpnzqKCg0O8IAAAAAAKMMufR/Pnz/Y4AAAAAIMAocwAAAAAQhShzAAAAABCFKHMeXX75ZX5HAAAAABBglDmPRo8e43cEAAAAAAFGmfPAzPT444/5HQMAAABAgFHmAAAAACAKUeYAAAAAIApR5jwaOGiQ3xEAAAAABBhlzqNp10zzOwIAAACAAKPMeTT/9fl+RwAAAAAQYJQ5j/bs3u13BAAAAAABRpnzzPwOAAAAACDAKHMeUOMAAAAA+I0y59Fd37jL7wgAAAAAAowy59GmTZv8jgAAAAAgwChzHi15Z4nfEQAAAAAEGGUOAAAAAKJQi8qcmXU1sxfMbIuZbTazC8ysu5ktMLPtkc/dmqx/n5llmdlWM7u65fEBAAAAIJhaemTuD5LedM6NlDRe0mZJ90pa6JwbJmlh5L7MbLSkGZLGSJoq6XEzi23h8/vmM9dc43cEAAAAAAHmucyZWYqkSyQ9JUnOuTrnXImkGyQ9G1ntWUnTI7dvkDTHOVfrnNslKUvSRK/P77fU1FS/IwAAAAAIsJYcmRsiqVDSM2a2xsxmmlknSWnOuTxJinzuFVk/XVJ2k+1zImPHMLM7zSzTzDILCwtbELFtmEmzZs3yOwYAAACAAGtJmYuTdJ6kPzvnzpVUqciUyuNo7r22XXMrOueedM5lOOcyOAIGAAAAAMdqSZnLkZTjnFsRuf+CwuUu38z6SFLkc0GT9fs32b6fpNwWPD8AAAAABJbnMuec2y8p28xGRIaukLRJ0jxJt0fGbpf0SuT2PEkzzCzBzAZLGiZppdfn99uoUaP8jgAAAAAgwOJauP03JT1vZh0k7ZT0FYUL4lwzu0PSXkk3S5JzbqOZzVW48IUk3e2ca2jh8/vm0ksv9TsCAAAAgABrUZlzzq2VlNHMoiuOs/7Dkh5uyXO2Fy+88IIevnGc3zEAAAAABFRL32cusIqKivyOAAAAACDAKHOeNXdxTgAAAAA4PShznpiSkpL8DgEAAAAgwChzHt16261+RwAAAAAQYJQ5jzIzM/2OAAAAACDAKHMerc5c7XcEAAAAAAFGmQMAAACAKESZAwAAAIAoRJnz6KbP3uR3BAAAAAABRpnzwHiLOQAAAAA+o8x59OKLL/odAQAAAECAUeYAAAAAIApR5gAAAAAgClHmPJowYYLfEQAAAAAEGGXOowkTMvyOAAAAACDAKHMe/d//Ped3BAAAAAABRpnzqKqq2u8IUeGDnQdUWlXvdwwAAADgjEOZ84C3mTs5VXUhzXjyA31t1iq/owAAAABnHMqcRz179vQ7QrsXanSSpM155T4nAQAAAM48lDmPbrrpRr8jtHuHjmA653zNAQAAAJyJKHMeLV36rt8RAAAAAAQYZc6jLVu2+B0BAAAAQIBR5tBmzMITLZlkCQAAALQ+yhzaDFf9BAAAANoOZc6jW770Jb8jAAAAAAgwypwHZlJRUZHfMaIGF7MEAAAAWh9lzqO3337b7wjtXuSUOTnOmgMAAABaXYvLnJnFmtkaM3stcr+7mS0ws+2Rz92arHufmWWZ2VYzu7qlzw0AAAAAQdUaR+a+LWlzk/v3SlronBsmaWHkvsxstKQZksZImirpcTOLbYXnBwAAAIDAaVGZM7N+kqZJmtlk+AZJz0ZuPytpepPxOc65WufcLklZkia25Pn9dPFFF/kdIWpwzhwAAADQ+lp6ZO73kn4oqbHJWJpzLk+SIp97RcbTJWU3WS8nMhaVRo4c6XeEqEGXAwAAAFqf5zJnZtdKKnDOrT7ZTZoZa/bvfDO708wyzSyzsLDQa8Q29deZM0+8UsBxRA4AAABoOy05MjdF0vVmtlvSHEmfMrP/k5RvZn0kKfK5ILJ+jqT+TbbvJym3uQd2zj3pnMtwzmWkpqa2ICIAAAAAnJk8lznn3H3OuX7OuUEKX9hkkXPuy5LmSbo9strtkl6J3J4naYaZJZjZYEnDJK30nNxH1uxBRhwXR+gAAACAVhfXBo/5iKS5ZnaHpL2SbpYk59xGM5sraZOkkKS7nXMNbfD8p8WAAQP8jtDu0eEAAACAttMqZc45946kdyK3D0i64jjrPSzp4dZ4Tr99+qpP+x0BAAAAQIC1xvvMBdLbC972O0LUcByjAwAAAFodZc6jvXv3+h2h3XNczhIAAABoM5Q5tDk6HQAAAND6KHMAAAAAEIUocx7dcccdfkeIGhyYAwAAAFofZc4DM2nr1q1+x2j3KHEAAABA26HMefTee+/5HSFqcCEUAAAAoPVR5gAAAAAgClHm0GY4IAcAAAC0HcqcR1deeZXfEaIGnQ4AAABofZQ5j3r27OF3hKjBEToAAACg9VHmPJoz5+9+RwAAAAAQYJQ5D8zvANGCI3IAAABAm6HMAQAAAEAUosx5NHzEcL8jAAAAAAgwypxHUy6c4neEds8xzxIAAABoM5Q5j+bNm+d3BAAAAAABRpnz6MCBA35HAAAAABBglDkAAAAAiEKUOY8Sk5L8jtDu8WbhAAAAQNuhzHlgZvrCF77gdwwAAAAAAUaZ82jt2jV+RwAAAAAQYJQ5j9auXet3hHaPWZYAAABA26HMAQAAAEAUoswBAAAAQBSizHl03XXX+x0BAAAAQIBR5tBmHO9NAAAAALQZypxHr776qt8RAAAAAASY5zJnZv3NbLGZbTazjWb27ch4dzNbYGbbI5+7NdnmPjPLMrOtZnZ1a3wBAAAAABBELTkyF5L0PefcKEmTJd1tZqMl3StpoXNumKSFkfuKLJshaYykqZIeN7PYloRH+8YkSwAAAKDteC5zzrk859yHkdvlkjZLSpd0g6RnI6s9K2l65PYNkuY452qdc7skZUma6PX5/TZ+/Dl+RwAAAAAQYK1yzpyZDZJ0rqQVktKcc3lSuPBJ6hVZLV1SdpPNciJjzT3enWaWaWaZhYWFrRGx1Z1zDmUOAAAAgH9aXObMLFnSPyXd45wr+6RVmxlrdiaec+5J51yGcy4jNTW1pRHbxNy5c/2O0O5xMUsAAACg7bSozJlZvMJF7nnn3IuR4Xwz6xNZ3kdSQWQ8R1L/Jpv3k5Tbkuf3U3V1ld8RAAAAAARYS65maZKekrTZOffbJovmSbo9cvt2Sa80GZ9hZglmNljSMEkrvT4/AAAAAARZXAu2nSLpVknrzWxtZOy/JT0iaa6Z3SFpr6SbJck5t9HM5krapPCVMO92zjW04Pl91aNHD78jAAAAAAgwz2XOObdMzZ8HJ0lXHGebhyU97PU52wszadq11/odo91zvDkBAAAA0GZa5WqWQbR8+XK/IwAAAAAIMMqcR9u3bfc7QruXlV/hdwQAAADgjEWZQ5u5ZeYKvyMAAAAAZyzKHAAAAABEIcqcRzfffLPfEQAAAAAEGGXOo6IDB1q0/YGKWj3z3i45xxUfAQAAAJw6ypwHZtLixYtb9BjfmfuRHnp1kzbmlrVSKgAAAABBQpnzSWl1vSSprqHR5yQAAAAAohFlzicxkbdbZ5YlAAAAAC8ocx5Nnjy5RdtHuhznzAEAAADwhDLn0fBhw1q0vVm4zrVWlXPOKcSUTQAAACAwKHMezXruOUlSXahR//vmFlXWhk5p+9aeZvnz1zdr6P1vUOgAAACAgKDMtdDczGz9+Z0d+sPC7ae0nUUmWja2Upt7dvkeSVKokWmbAAAAQBBQ5lqoPnIkrLa+4ZS2i8yybLUyd+jcu0OPCwAAAODMRpnzwGTq169f5HbYqVay1i5dhzoh11MBAAAAgiHO7wDR6vLLL9ePX96g5z4IT2/0u0TR4QAAAIBgocx5tHjxYpV0HX74fmtNl/Tq0DRLv3MAAAAAOD2YZulRTk7OEfc9V6hW6l6HHoYuBwAAAAQDZa6VnGqJMp34pLk1ew+quu7kLqxy+Jy5U4tx2uSVVvsdAQAAADijUOZaTevWqILyGt34+Pv6wQsfnVqKdnpoLtTQPnMBAAAA0Yoy59Gtt956xP3W7lCVteEjcuv3lZ7SdlQmAAAAIBgocx5t237km4TPWZWtP57iG4dLxy9fh9/y4BTbmWs85Qin3YGKWmUVVPgdAwAAAIhqlDkPzKQVK1YcM/6bBdtO6TFOZvne4irtL6057nq/eH2z/pGZffi+i9TD0qp63TkrU8WVdSedqbU8tjhLg+6df8TYLTM/OHz7yt8u0ZW/XXK6YwHAGamqLqQnluxQQyNzMwAgaChzPsgtObWLgUz9w1K9l1XU7LK/LN2pH7yw7vB956T6hkZ9+akVentTvv767s4WZT1ZUx5ZpGff363FWwv0q7e2HrM8u/jjr/lgVf1pyQScSGlVvZ5YskON/BEMDypqQ9qYe2pT4b2oqgtp0L3zNWv57maX//LNrXrkjS16fX1em2cB0D6UVtdr0L3z9cLqnBOvjDMaZa6VbdlfppKq4x8N+9emfF34yCK9v+PAcdfJLq7S7JUfH20rqarXl2au0PvHKXRNOUn3zFl7+Fy7rfvLTz78SVqbXaKcg1VHjO0rqdYD8zbqK8+savXnA9rKA/M26JE3tmhZVpHyy2q0PqdUL63J0c7CClXWhvyO1+pKq+qVXRz+v/vbt7dq2fbmf6aEGhoVaoiCOds++9qzqzTt0WVtfkRsc16ZJOknr2xsdnlpdfgFsrrQsf9mDY2u2XEA0a2gLDxr6/F3snxOAr9R5jy67LLLmh2f+vt3Nf2x94673bqckmbH95VU66FXN6qh0eniXy7WE0t2HLPO8p0HTngE4byfLtD8Jq/OLtpSoLKa1jkStruoUs45TX/sPV30v4v1ytp9WrQlX8+v2HNS25dW1+uWv3483bK9XnkTLXewsk4X/3KRNpziBXyaqqk/ubflOJHbnl6pQffOP/wiy76Sau0qqtSge+fr5bW5h5/rkl8u1nV/Wqbv/P0jfeo3SzTmgbeOe25nfllNVJa9T/9+iS7+5WJJ0qOLsvTlp1Zoz4FKffVvq/TY4vAfBN+b+5GG3v+GJv58oQrLaw9vW1heq3vmrDlmCnVrc87p/R1Fx/x8WJ9TqorakMpq6pVXWq1fvbVFdaHG4754tj2/XHfOylRt6MT70Zsb8vTryIyCDftKtXpP8RHLS6rqmi1EH+wMr9fQ6LT3QNVJveB2PId+vjblnNNTy3aptslzr80u0aB75+ulNTkqKK+J3N4nSYpp5jf6D19Yp4yfLfCc63Jlb0AAABzPSURBVGjOOeWXHX/qP4DT49BPi5xi3vop6OL8DhCtunfvLhUebHbZ7gMfH7Uqr6lXh7gYVdSE1CM54ZgLnsTFmIoqajXlkUWSpB6dOhz3Of+4KEt/XJSl/7lhjG67YNBJ/6H8lWdW6Z93XXhS6x7PG+vzdNfzHx4x9u05a0/pMcY/9PYR94sq6pTaOaFFueBNTX2DnJMSO8R62n7uqmz9eckOLf7+ZXo/q0jr9pVq9Z6DevLWCTIzLd95QNnF1frjou36+Y3jVF4TUueOceqRnKCt+8vVJTFeaSkJKq8NaV12qSYN6a742Bit3FWswvJa9e+eqOv/9J7+/KXzdPnIXkqIi1FtqFH3/nOdfjB1pNK7Jqq+oVHLdxzQxcN6ysxUWlWvUGOjHnp1k8b376phvZLVKyVBS7cVSpJuevx9zbw9Q5/6zbHna9753Opmv85vPL9a//iPC1VeW69Vu8PZvnbREE36+UIN65WsBd+99JS/d5W1IcXGmDrGe/veH23PgUr175akmJiPT8TNL6vR7qJKTRrSQw/O26j1+0o1bVwf5ZeFy9mD8z4+wnPpr96RFH7hJ7+sRv/8MDxlp7iyTuc//C+lpSTo/mmj9a3Zaw5vU1UXUlKHk/v1kV1cpa5J8ercMV7lNfVauq1Ir36Uq1/cNE5Pv7dLBWW1+vlN4/TK2n1am12i1XsOamNumc5K7aSfXDdGH+45qGvP7qPr/rTsmMd+bHH4Ra9Pjeyl5IQ4DeiepAkDu6k21KDfvL1N2wsqtHr3QY1J76LOCXE6WFWn2BhTp4Q4FZR//HP3kCGpnfTdueG3g1n9oyvVIzn88+mc/wmXoZ7JHVRUUaetP5uqdTkf//x9a+N+fTPy/fnpDWN0oLJO375imHYVVSrGTIN6djq8bl2oUfGxJmty4vT7O4p0y19X6KZz0/Ximn16/95PqW/XRM18d5cefn3zERkPvVj4nb8f+7Y13/n7R/rO3z/ShWf10Ps7DujdH15++N9z5a5iff4vy3X+oG569qsT9dq6PD3/wR59lFOq7141XN+6Ypg25ZYpLSVBs5bv0ag+KXp5zT5V1IZ0+4WD9P6OIn3/0yP0+DtZemzxDr3x7Ys1qk+KJGnV7mLdM2etrj+nr4rKa5VfXqv4GNMTt05QfOwnv2ZcF2rUvS+u07evGKaBPcLfp7zSavXpknjEeoeOfsbGnPg9Wg/ZV1KtKY8s0j/vulATBnY76e0aGp1iY0zrckpUXdegSUN6nNR2taEG1dQ3qktivJxzqqprUKeEI/+fhBoa9a/NBbp6TJrMTG9uyFNuSY2+etFgldXUKyk+VnHH+Z5lF1dpXU6ppp3d56S/lqOV19RrbXaJLh6W6vkxcHrUhRoVamw85mdtbahBn39iuT6K/Ayqa2jUxb9cpHd/+Ck/YqIdsPZ+dCQjI8NlZmb6HeMIl/5qsTYuna/kMZcfd53dj0xTQVmNJv584eGxlfdfoYkPLzxivd9/4Rx9Z+7aU75q5dqfXKWfvrb58C/qE3n9WxcrJTFO8bExWrK1UAu35OtPt5wn56QOccf/ZVtRG1J5Tb2u+cO7bXKu25ShPZRzsFqv3D1FXZPCRdY5pzc37FevlI4am56ihLgT/9GbV1qt+NgY9UyOrnLY2OgUE2PKLalW366Jmr1yrzolxCkpPlZThvZUbIwd8+9TUlV3+Hu1fMcBnTewq+JiYmSSYmJMBWU1Wrq9SH26dNSUoT0Pb9fQ6PSnRVm6/cKBuuI3S3Sgsk67H5kmSXpl7T4N7ZWsUb1TDpeCmvoGjfzxm7p6TJp+On2s3li/X6+ty9XVY3rrZ/OP/APTqwuG9NDyncefctzU8LRkbctvX1dB/d/PjtOwtM7auK9Us5bv0T+/caE6J8Rp8H2vH17ngetG67YLBim3pFrvbCvUj1/eICn8M6I21KCCslr17550zGP/4vXNmrlsl3b8/Bo555RdXK2n39ul7p066LeRiy11jI9RTX34qM2tkwfq0uGpumhYT015ZJEOVNbp1skD9dwHJ3fk3IsrRvbSteP76DNj+2hnYaVG9u6snIPVyimpUqyZuiZ10NW/X6ouifH6620Z+vxflrdZlrZy6IWElkjvmqgfXztKr6zN1Rsb9kuSHrvlPOWVVrfa/6WWOlQA28LAHkm66dx+yiqs0G9uHq8fvbxeP5s+Th3iYjR75V7d9+J6SdJ/Xj5UMTGmRyNXhn7wutF68NVNRzzWs1+dqPSuHdW3a6Iu+t/F+vXNZ6u0ul6vrM3VQ9eP0Zb95ZoytKcandN9/1x/xEyVQ4akdlJ5TUgje3fWVaPTNLRXsv6RmaOt+8tVVFGrgvJarbr/Sp3/8L8Ob/PC1y/QT+dv1l2XnqWpY3sr1NCoy379jpIT4rSrqFJdEuNVEDmSPfO2DH1tVvjvll9+7mwN6tFJfbp0VHZxlZZsK9Rflu7Ubz8/XrsPVB3+Wrf+bKpG/OhNTRrcXSVV9RraK1n3TxulLonxqqwLqbwmpCsiL0R9dcpgPf3eLs366kRdMjxcypZsK9SA7knhnxUHq9U9qYNqQw369dtbdeWoNF14Vk8N7tlJo37ypiRp6Q8u1+q9xRrYo5P6dklU7y4d5ZxTQ6NTXGyM5mZma/Xug/ripAE6p3/Xw9+H1XuKZWY6b0C4HDc2OtU3Nh7xe/pARa12H6g6okA3NjoVV9Wd8Hd0QXmNuiTGN/t7vy7UqG355RrdJ0WFFbVKS+koKfy7zblwAS+pqle3o14Ur6oLqdGFZ0b94V/b9cSXJxxexzmn6vqGk35xqjmhhkbVNRxbulqiLtSo4T96Q5K04r+vUFpKR9WGGrR4S6G+NWdNszMF3v3h5erbNfGUXvBAdDGz1c65jGPGT3eZM7Opkv4gKVbSTOfcI5+0fnstc5tXvKOkoRM/cb3PZ/TT3Mz2f2Jq3y4dldo5QSmJ8Xp3e5FuntBP6/eVqrwmpH2neLGWlrjpvHQVlNXqvR1FR5TbN++5WFkFFYqLiVF5Tb0uG9FLKYlx2l1Uper6Bs1bm6un39slSRqR1lnXje+j6eemq7C8Vh3iYrQ2u0RnpSZr8pAe2rCvVLsPVOrRhdvVt2uilu84oLSUjrpl0gA9t3yPbjovXeU1IR2orFNCXIx+9bmz5Zz08OubNXdVtsamd9GMif31yBtbNPc/LlC3Th10sLJOTy7dqec+2KPZ/z5ZRRW1+ubsNfrXdy9VqLFRr6/L0we7irVyV7E6dYhVZV2DBvfspNsvGKgHX92kvl06Kre0RjdP6Kd/tMGJzF2T4lXCRWcAAB5kDOymzD3Nz0Rq6qfTxx5+sepE4mJMocjR1i6J8aoLNar6qKn1P79xnM4d0FXdkjro5r+8r+q6BhVVfDyt+q7LztKf3zn2lJSrRqdpybZC1YUaNb5/V32U3fzpLSN7d9bAHkl6a2O+fnrDGNXUN6p7pw5K7hingrIa/Thyjuq1Z/fRa+vydPflZ+mxxTuO+Nuud0pH7Y9MO37+a5M0qGcnLdycr6Gpybpl5gpNGdpDq3Yf1Ls/vFwznvxA5w/qpsT4WD33wR4t/N5lWrWrWDuKKvSXJeGL1U0/p6+GpCYffsGupb7/6eH60qSB4SLdKUG1oQbVhhp18S8XKy7G9PzXJml03xT94B/rtHBLvl76xhT9v5V7NW1cH8WY6axenVRUXqeFm/O1Ka9MFw9L1ZWje6lX53D5n/dRrjbllimvtEY/vWGsnJxW7CpWTX2DPtxzUB3jY7V5f7kenj5W9764Tu9lHdAPrh6h2y4YqOSEODknvblxv84f1F3ZB6s0Lr2LckuqDx+lb2h02rq/XCVVdbpwaM/DU89vOCf98MyumvoGxZjJyam0ql55pTXqmhSv5TsO6Mbz0tUhNkaF5bU6UFl3eDZBUUWtQg1ODc4pvWuinHOqDTXqP55brc9O6Kfrx/dtle9/a2sXZc7MYiVtk3SVpBxJqyR90Tm36XjbtMcy19bnjAAAAAA4/R794rntstAdr8yd7gugTJSU5Zzb6ZyrkzRH0g2nOcMZ7fMZ/fTgdaP1hxnn6JGbxvmaJTE+Vpv+52rdeG66rzmAk9E1Kd7vCMAp69Gpgz49Ok29I1POAATH0/92zN/1aAXvbCnwO8IpOd1H5j4naapz7muR+7dKmuSc+8+j1rtT0p2SNGDAgAl79rTdOR9eFFXU6p45a1VaXa//u2OSPtx7UHmlNbpqdJp+u2CbJg/prl+/vVV//OJ5enrZLk0Z2kMbc8s0a3l4Gt5La3I0PK2zGhqdfvHGFv33NSN11ejeGtg9SRV1IZmk/LJabcor07RxffSHhdt16fBUje6TorzSar21MV/XjOutD3Ye0Lj0rureqYNKqus0snfKMVkbG50andMPX1inF9fs07euGKaUjnF6e2O+Nu8vU3lN+Ip808b10b825+tzE/ppzd4SXTU6TVV1Id33mVFallWkwT07qX/3pMPneNXUN+idrQUqqqjTZSNSZWbqGBejv2dm65aJA9QxPvaICzzUhhr0s9c268rRaVqz96BumThAc1Zl67cLtim1c4I6xMbokuGpWptdooTI1MiRvTvrvmtGaem2Qj21LDyN8tqz+2hUnxS9u71Q63JKVVV35LSMuy47Sy99uE+JHWK1q6hSSR1iVV3foMT4WN116Vn6zYJt6t89UVeMTNPf3t+tcelddMM5ffX8ir3qHpky2a97kpZuK9TQXsnKKqhQx/gYnZWarI25ZYef55LhqVq6rVBn9+uidTmlGpLaSRMGdNObG/ar/DhXOfzlZ8/W9oJyTR3bWwlxsXppzT5NGtxdjy7armnj+mp3UaXKauoPn1Nzy6QBamhw+ntmtq4b31c3nttXK3YVS046f1B3bcor00fZJRrRu7MuPKuntuWHz/coq6nXws0FSukYr8e+dK7+tblAr63LVVxMeKrBNeN6h/cNF57CMCwtWc8t36NnvnK+KmtD+tn8zeqaGK+S6nrlHKzWJcNSNTwtWendEnXxsFQ552Rmcs7pnW2FSk1O0JJthRqX3kXdO3XQ7gOVunR4qmLMlNQhVr9bsE1D0zrr6jFp+nBPieas2qsvThygvcVVumxEqmrrG1VV16CEuJjD5whW1IbULamDnliyQ92SOuhLkwdo8ZYC7S6qUqNzuufKYapraNT35n6kHYWVOn9QN108LFWDeyZpY26ZJg3uobpQo/p1S1TOwWoVVtSqS2KcYmNilF1cpbpQo0b07qwPdh7Q5CE9Dp+ztrOwQlv3l2vp9iJde3YfnZWarFW7i1VWU6+bJ/RXbkm19pVUyySt21eq0up6xcfG6DNje+ulNft092VDlVtarT5dOupPi7J0sKpeo/p0VkrHePXtmqhNeaXq2zVR49K7aPpj7ym1c4LSUjqqX7ckjerTWT95ZaPSuybqkuE91alDnEqr6/XSmn164Poxej+rSNee3VfLsgoVanDqmhSvitqQPntePz25dKe6JXXQv00ZpDc37Ne72ws1pm8XffOKoQo1OG3YV6pQY3ibbkkdFB8bo37dEtUxPlblNfXaWVipob2SFWp06pIYLrUvr9mnLknx6t8tSWeldlJBefgclZnv7tRr6/J0yfBUXTYiVf27JWnBpnx17xSv1M4JijFTt6QO+iinRKP7pGhYWme9u71QB6vqtTmvTNnFVXrks2erocFpT3GlRvTurH0HqzWoRyc9sXSHnl62W/99zUiFGpzO6tVJoQankup6rdpVrKtGp2nSkB4qrarX6r3FGp7WWfPX5enK0WlqaHQampqsg1V1qqgNqXeXjvrZa5vVu0tH3XHRYM1avluJ8bG6bEQvpXZO0HPL96hHcgdde3ZfldXUK8ZM+0trVFUX0oSB3ZRVUKFfvRU+3yi9W6KmDO2pl9bkKDE+TqXVdfp8Rn+ZmeauytZnxvVW547xem1drrKLq/X1S4eovsFpxa4DWpZVpK6JHdS9U7yeWrZLX548UFeOStM9c9bqiVsnaGdhhcxMvTonqH/3JGUVVOihVzfqjosGa8rQniqpCl985zNje2trfrmG9eqsrfvLtXhrgb44cYC6H+eiWWU19frF61v08PSx2l5QoYZGp14pCYo1U22oUQ+9ulGdEuL07xcP0fC0ZK3LKdVZvZI1892dmjS4hyprQxqTnqKy6pB2FVWqpr5Bo/umqKi8Nnwxm9p69eqcoKyCCo1N73L4d9a14/qowTm9vj58hdBnvnK+Qg1Oj7y5RT/49IjDF5WpqQ+fzzWyd2fdeG4/jezdWdsLKlRT36CUxHht2Feqf6zO0UPXj1HH+BjNXZWjzD3F+tyEftqYW6ZVu4t1+wWDtKuoUuPSu8hM+tfmAv3ipnFan1OqVbuL1eicUjsnaPbKveqRnKBQQ6O251fo0hGpWrApXzed1083npuuVbuKlVdao8KKGn3rimFasbNYG3PL9OkxaVq1q1jnD+6uv6/M1r9fMkRZBRUqrqzThIHdlFdarWXbi1TXEJ6e1yUxXmXVIa3ee1C3Th6oLXllqqgL6YIhPZRbUqPsg1X6YOcBff3Ss3Swsk4d42M1JLWTZi3fo94pHbVoS4E25ZXpr7dlKL1rop5YskPzPsrV4186T+9lFekL5/fXlrxy/fS1TUruGKdx6V1047npKq6qU15JjUqr63X/tFF6cN5GTR7SQ+tySjWid/jftltSB9U3NKqsJiTnnP7zU0PVt0uiakON+uOi7Tp3QDe9vj5PU8f21lPLdunH00arY3yM/vb+br36Ua4e/9IEbcor1Tn9w1/3rOV7tKOwQr/7/DlallWkQT2StK+kRt2S4tWvW5IyBnXTmr0H9fX/+1BDeyUrNTlBFw3rqY7xsfrTou264Kween39ft08oZ9mTBygO2dl6kBlnb520WDtPlAlM+myEam6/6UNGpHW+fDvhV1FlUrtnKBenRO0ryR8oZzNeWWKizGtvP9KLcsq0rdmr9GQ1E6acX5/JSfEa2ivZN3x7CqV14QO/86+bnxfVdc1aGCPJI3uk6Lv/eMjde4Yp1snD1SMmf60OEuTBndXXKyppr5R6V0TlRgfq5TEOF04tKdSkxO0es9BXXhWD3WIi9Ff392pqtrw3yOb8srUIS5GXZM6aOm2Qn1qZC8t2lKgH00bpRgz/XT+JjkndUuK172fGamhvZK1eEuhPth5QBcPS1WHuBht2R/+PTZpSHcN6dlJOQer9eHegwo1OP19VbY+PSZNN53XT907dVB+WY06xMbo/R0HlJIYp5Kqeu0vrVGvlAT9+Z0dSk6IU355jarrGlVUET6vM2NgNyV2iFV5TUiNzmldTunhKanTzu6j+evyDp8W0rdLR41J76IFm/KP+Bnzo2mj9O72ItWGGtQjOUHz1318fuqEgd20+qipueldE7WvpFqj+qQov6xGxZXHfxuvQT2SDl9M8LrxfbU9v1xbIm+11fRc8VMxpm/KEX/HNXfO/nkDuqpv10Tdc+VwDe2VfMrP0dbayzTLmyVdfVSZm+ic++bxtmmP0ywlacKECVq9uvkr4AEAAABAa2kv0yxzJPVvcr+fpNzTnKFVfPjhhydeCQAAAADayOkuc6skDTOzwWbWQdIMSfNOcwYAAAAAiHqn9U3DnXMhM/tPSW8p/NYETzvnNp5gs3apTx/vb9oJAAAAAC11WsucJDnnXpf0+glXbOdyc6NydigAAACAM8TpnmZ5xnjwwQf9jgAAAAAgwChzHj300EN+RwAAAAAQYJQ5AAAAAIhClDkAAAAAiEKUOY/a4xuZAwAAAAgOyhwAAAAARCHKnEcZGRl+RwAAAAAQYJQ5AAAAAIhClDkAAAAAiELmnPM7wycys0JJe/zO0Yyekor8DoEzBvsTWhv7FFob+xRaE/sTWtuZvk8NdM6lHj3Y7stce2Vmmc45TpxDq2B/Qmtjn0JrY59Ca2J/QmsL6j7FNEsAAAAAiEKUOQAAAACIQpQ57570OwDOKOxPaG3sU2ht7FNoTexPaG2B3Kc4Zw4AAAAAohBH5gAAAAAgCgWuzJnZVDPbamZZZnZvZOxvZva5o9ar8Cch2iMz629mi81ss5ltNLNvR8bfMbNjrpxkZrvNrGeT+5eZ2WunMzOig5nFmtmaQ/sH+xRawsy6mtkLZrYl8vPqAvYpeGVm34n8zttgZrPNrCP7E07EzJ42swIz29BkrLuZLTCz7ZHP3SLj/2Zmf2rmMR40s+8fNXbEPoawQJU5M4uV9Jikz0gaLemLZjba31SIEiFJ33POjZI0WdLd7DtoJd+WtNnvEDhj/EHSm865kZLGi30LHplZuqRvScpwzo2VFCtphr+pECX+JmnqUWP3SlronBsmaWHkPlpBoMqcpImSspxzO51zdZLmSLrhkzYws/8xs7WRj31m9sxpSYp2xTmX55z7MHK7XOE/kNIPLTezGDN71sx+dqLHMrPXm+xTpWZ2e9slR3tmZv0kTZM0s5ll7FM4JWaWIukSSU9JknOuzjlX0mQ5+xROVZykRDOLk5QkKffQAvYnHI9zbqmk4qOGb5D0bOT2s5KmH72dmU0zs+UnOvpmZl9vsj/tMrPFrRI8SsX5HeA0S5eU3eR+jqRJkdu/MrMfHb2Bc+4nkn5iZl0kvSvpmEPBCBYzGyTpXEkrIkNxkp6XtME593CTVRebWUPkdrKkLZLknLsm8jgTJD0j6eW2T4126veSfiip81Hj7FPwYoikQknPmNl4SasVPvIrsU/hFDnn9pnZryXtlVQt6W3n3Ntm9t9if8KpS3PO5UnhF8jNrFfThWZ2o6TvSrrGOXfQzCTpO2b25Sar9Y1s/4SkJ8wsXtIiSb89HV9AexW0I3PWzNihy3n+wDl3zqGPIzYK71HP//927idkqiqM4/j3IQmpVuEmUEqkXLSxVqGrN7NFiYLL/lCQS4MgIdyVC3EnrcLATSpFqaCC0MZlQVGE/UOCSnuJskUYuDL6tTh38PK+1jgv7ytzne9nMzP3zDlzFs/ce557zrnAoSRfrHQnNb2q6j7gJPBakr+6w4dZfEEDmOvF0+4F7awBjgLPJbm60v3W9Kmq7cCV/zinGFNailXA48A7SR4DrnFjKZMxpYl0e5p2Autpg+h7ewNr40nLaQ54A3g2yZ+944cWjM1/XVDvbeB8krO3q6PTaNaSuXlgXe/zWhYHxs28CcwncYnlDOvuAJ0Ejic51Sv6BJirqtW32M5dtCW++5N8M+77umNtAXZU1c+0eHiyqo51ZcaUlmKedq0arRo4QUvuwJjS5J4CfkryR5LrwClgc1dmPGlSv1fVAwDd65Ve2Y+0FSqP3GpjVfUy8CDw1jL2cZBmLZn7HHi4qtZX1d20jbxn/q9Cd/d8G20TsGZUNzt7BPg+ycLp/CPAOeCjbl/BOAeBC0k+WOZuakCS7EuyNslDtHPR+SSju97GlCaW5Dfgl6ra2B3aCnzXvTemNKnLwBNVdU93DdzKjQfqGE+a1BlgtFfyJeB0r+wSsAt4r6oeHddQt1x3L/BCkn+Wu6NDM1PJXJK/gT3Ax7QT0odJvh1T7XXa8oLPuo2W+1e4m5pOW4AXabMno023z4wKuwTvS+BoVY37X+0Fnu61s2Pluq2hMqa0RK8Cx6vqArAJODAqMKY0iW6G9wQtZr6mjRnf7ZUbT7qpqnof+BTYWFXzVfUKLaHfVlU/0CZJDvbrJLkIPE+7QbBhzE/sAe6n7dH8qqoWPURsllSS8d+SJEmSJE2VmZqZkyRJkqQ7hcmcJEmSJA2QyZwkSZIkDZDJnCRJkiQNkMmcJEmSJA2QyZwkSZIkDZDJnCRJkiQNkMmcJEmSJA3QvxiUWwDu40NHAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(15, 6)) ; ax = fig.gca()\n",
    "yf = rfft(data[data['timestamp'] == timestamp]['sensor_2'].values)\n",
    "ax.axvline(0, color='k', linestyle='--', lw=1)\n",
    "ax.plot(xf, abs(yf))\n",
    "#ax.margins(x=0, y=0)\n",
    "xticks = [millify(xtick, True)+'Hz' for xtick in ax.get_xticks()]\n",
    "ax.set_xticklabels(xticks, rotation=0, ha='right')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "0Hz signal component == constant == avg of the signal in the time domain."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looking into a 'sensor_2' spike on timestamp.abs().mean() on test #3, (timestamp just before spike, timestamp with spike, timestamp right after spike)&nbsp;:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "cursor = client[database_name].measurements.aggregate([\n",
    "    {'$match': {\n",
    "        'test_id': 3\n",
    "            , \"timestamp\":  {\n",
    "               \"$gte\": pd.DatetimeIndex(['2004-03-15 15:25:20'])[0]\n",
    "               , \"$lte\": pd.DatetimeIndex(['2004-03-15 15:45:20'])[0] #datetime.datetime(2004, 3, 21)\n",
    "            }\n",
    "    }}\n",
    "    , { \"$project\": {\n",
    "        \"_id\": 0\n",
    "        , \"timestamp\": 1\n",
    "        , \"step\": 1\n",
    "        , 'sensor_1': 1\n",
    "        , 'sensor_2': 1\n",
    "    } }\n",
    "])\n",
    "data = pd.DataFrame(list(cursor))\n",
    "\n",
    "data.sort_values(by=['timestamp', 'step'], inplace=True)\n",
    "data.reset_index(drop=True, inplace=True)\n",
    "\n",
    "second_slices_count = 20479\n",
    "def datetime_slice_function(df_row) :\n",
    "    return df_row['timestamp'] + \\\n",
    "           timedelta(seconds = df_row['step']/second_slices_count)\n",
    "data['long_datetime'] = data[['timestamp', 'step']].apply(datetime_slice_function, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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5jfkSR4RcpY9MXX8Wg3897FR7jCLsmBwxdAKAQzrrjws5GHWfH/DkJo8yspBtYT0qjUcLpX52q45J//k71oHUgSvi76jBp1vR84e9uJ+SI9pJB4FyHXyHb8LR/AvnKgt0mRnOR40cMbn0WF4xzP18wzksPXQdm04bF24W7ruGbedisf6kdRC17oS6gPjWihPIzGax64JjqRNVJ27EB3+f4vuKVcdu4Wpcil04955Lcbh+3zWD7kcZWVh97JbugZTcdfDzbu0qUJzIs14h3ckRNpy+jd8PXheFejuLMNx489m72HD6DqpO3IjPBcf4btslVJ24ke/rLt5NxmEdffXey/EOGflyAs0emRQdlmXR84e9GDj/oOo+nB0or400/r19tfkCBs4/iLRMC77YaN53ZDZK44ZTtx6i2sSN/HmPl1mIWRMZgz8O3cA3W9UjS87fSdJ1nwiRhr4LqxR8tOY0LDLP24wsi/7UR8klEZuYholrT/N9zZg/IvH7weuG2myEdSdidPm6CJspjEQ5Gp0gK2hwgUrc57adi8XCfTkpRu6YYN24/wjhJht0nr+ThIho++f8pdgULNhzFa+qpDwejdaXsrz4QDQGzDuo2vaqEzfi3VVWYVbXopsCb/91EmP+sEaMpmdlG4pwZSTfuRYbTjkmlHAIx7pLD0ZjkeD60sPzPx/E7J1XkJSW+2mBn/57DlUnbsz14+ZXPFnAKA9AGDN4y/aaEiMAbJJ7g2GY0QzDRDAMExEXR7nCWuiqQmLwSXQgKh6Np20TObjfevBIc/XEKBYLi8gb1rDqRfujUXvKZtxNNGHFRAfX4lPRWGLWuDLiJuJT7AdfV+4l4/gNY94bL/56GLN2XBa9duBKPMKmbEHjadtQa/Jm4412EdLLQ3q9KF0+o3XkiWrpazEPH+PItQQsPRiNn/eoD1w3nXbuYcr9HQ9Mvo7FB+F+8OwQfG5Q4Ui4/bT/zmHU7xH89a23fzl8Tb/QeP1+quj7XnUsZ0K7YM9VdJ65m4+e4XjptyPo8E04AOUQ3ev3U+0qU+g5A5/9ew7vrjqJwwYFL7l25LbIxc3T9Bz3nm319ZJKCsW6EzEIm7JFdlK0+EA0//PSQ9ZJHRd+3OOHPXh+gfHSxEYJvygeN0REJ/AVhS7clf+7rsal6BbQ7yQ+Vpw0/HdKe2KSmW3Bvydve0CakGNwIlDnb8OxKuImLwJz4efSq6zTt+FYe9x6/3JpPlI+WX8W4/48brgtK4/eRNiULbiqEAWWbWHx1ZYLqDV5s+j7DZ20CT0cNFSetfMKlh++gbdW2JdINvvOvhybjLdWnMB7q7QjkpQWZAbOPygSNDgybd+FxdZ/j/o9AtP+O8f3h5dik/HNlguaJR+l3b9cpKwavX7ci2WHrX1Fx293YZjJBp29ftyLZ2WES+7vNmOV/fI9a7+iFWEg5yty8uZDHIhyLPL5x+2XtTcSwH23uRXR8NaK4/xYd/K6s/jVoIDBXaO5mZJ7OTYFmdkW0bPMKIev3kekzJzB7NTAvIQnCxhyl5fsHcIwTCdYBYwP5d5nWXYBy7JNWZZtGhwcbGITPZ/dl+7x7sd6OxhpOKMcevYk7MS/3XIRCakZuHAnZ4Da9qtd6DQzXFebOLRMoIS58htskxVhOsKFu0kudSuWCjQf/H1K1oCw63d78MzcA3avq7HvSjy+23ZJ9Bo3iHalS37IhA14X8dgh+OXPVftVgOiVUIqHX3sKU2eWBZ47ueDsiHz32+/hKELD/PC2WsCnwo95fyk0RWXzQopziVafrkDfRwwu0pIzUDIhA3484iyIanFNtaVChhLD11XNKpTCqlUG1sI+4C0TAs2yohQ6VnZ+O/UbVGf1/W73XhtWSQ/sFXjTEyiKI87WyXlpMM34XjONpjlrskEHQbCXD/7KCNL9jyoHVPKo3RrOL1cGWhO8EjNyDZtkMkN1KW+P92/3412X4tLK5+0TT448UGO3TaB4GyMct/88FEGHioIhUZLTV6LT8WMTRd0n4+HjzNFudzPzj+omjqSmW1B55m7MXa5tg+OxcKi1fSdvMDviBg16vcIvPnncbz1l/0E2EwORMWbWjHEIjn/V+NTZctFS7kWn8qvZK84ehN/2K6tA1HxWGKbJCw+EI31DqxKbz1nTRNT8tBiAay2iZ9S4dJZM0g9k6rYpDTst6Xl/n3sFradE6e1sSyL/07dVhQfHtuEZj0LO79oLABImbzuDADILtoAVj+jObuiZE2HM7IsCJmwAbN32E+gn/ppn6F2nL+ThI/XWtvCdatyaYNKqYSOpBh6Ev3m7MfgX4xHPn+z5YIhQX3diRjZsZ11IdF6f+o1brVYWEzfeF62fOuO87H8GPc/WwSHlkjk6nQNIxyJThCNoe8kGu9Dn19wCP1l5gzC1MDjNx+IfNmMjCHyIp4sYNwCUFHwewUAdk8jhmHqA/gVQD+WZY3H/edzPlx9Gm8LSj5mZFmw8uhN/saes+uKocmpEtwg+cq9FD7nTU+olJFQtZ0XYlFt4kZVASJVxvX4uZ9zlPKeP+zNNbdiTuk1q4QnB7cydCk2GT9JTCT3XY43nGca8/CxKBz28NX76PnDHtFr3Gr1lXvJ6PjNLlxUWHUEgC82nrdblez0bbihNkmJTUrjB2p8yKJCv/yXhtnb3svx+HarvYHcsMXaqzRyHghqZrGO5vzGJqXxYcxZtntV60G0+cxdzWvtblIazmoIeGmZ2ejx/R4cFYTIcvmtahVVHtqq8FyOFZ+Pyf+csYts4OBSAowgXIX488gNvL4sEhNWn8KwRTmrejO3XsLY5cdFFW64+5Eb2AI551ZI4uNM9J29T1SettrEjdglWYUXfh3nbMIsN2ngjnEmJlEz0uqVxRH44O9TovPw8FEGqk3cqDv8euG+a/jj0A38uld9NYqr+uA0trbEJqWJJrSXYlMUKxaotZ8TvdQGu28LJufSAWDbr3bh2PUERMen6hq0jlhyFPN3R/HidkJqhmrVqj2X4gyVWeSiAvbJ+D8lp2WKPHeE33u373Y7VPGBixAxywzyzyM3MHKJ/d+79WzO/ofr6C+14KIlldBrjM31S4N/OYypKobirvJgOHvbWISAMzw1ex+G2NJy31t1EqN+txpxc8/x8ItxGLv8OL/YcT8lXTbSVY9QxvXp/GdUbuJr8an8szBZR3h+4uNMkdDBCSszt13SZZRslFYzdqCZoMTqo4wsVJ24EbN32pcMrTpxo2w0jBSWZbH62C3ZahuPM7IVJ6pPzd6HvZddEw2uR6AXIky5nbMrylBVvlWCtDzuynjptyOoOnEjttj6ioX7rmned0euJaDqxI2yEbP3ktIwYkmEnSm61rhhzB/HUHXiRryz8gRvHpuQmmEnOuYW/wjSYtXGz84wYN5BfLMlZ2xbbeJGTFide95LuY0nCxhHAdRgGKYKwzAFALwAYL1wA4ZhKgFYA2Aoy7KXZPaR75i14zKGSiYD91PS8dXmC7qUzrnhV/DB6lP8ysQ3Wy7yk1MzQqq6frcbg36xD+nlQn4nrzuLd1Y6tkrETWCP3zSn7On9lHTcd7CahRGi7z/C38eM518rwYXMnbhpP/h7ceFhw2JBmxk7RSuFU9efxYW7ybJGgXPDoxB9/xF6/OBYqKxRFuyJwuXYZDw7/wA/UNMa1OopW5otMxBTChl2BkeFmxZf7sCAeVbhjQs7VLtWH2dkY8wfx+z6Bke4eDcZF2OTMe0/Y9UFDl21Ch7zdsvXkGdZFjvOx4rC3NVW5ZWQG0OvOHoT4Rfj0H/ufsQlp+O2bVL9QCMS4rrM6pFwkKtGpsV+kC0VOfrO3qcYaSW8ildJ+gcuOuPzDefR8LOtIqH3/B17AYob/Mtd18JJx0OVSK0DV+JlowosFhbbz8WK9sNFmOy7Eo82M3bqTF1Qfj75eFvPhpygxB33kkAY6zNrn93z7uXfjqLjt+GYGy5//QnhBIaE1AwcjU5A42nbDJe+lrsOD0TFY01kzncpfKY+eJSJGZsuoNO3yp47d5xMd0zLtP8ehNeZXPSExcJi27lYHL56nxdxPlpzGts1xC49Vb6ESKuIrDiqXVVEbzTKuTtJmgLvtnOx6PRtuGzElvSoajCw/+77zMqJEDh09b5LIyI5Y3ZpulWbGTvx+rJIPjqDE1WafL4dDT7bym/HPT/1pQqr/y7E6LOu2Rfb0fTznL5WeK/o8ZFKSc/i/1Y9xCalIz7Fen1HRCfw45vvtl2yM6AEoCt659DVBLy76qTss/LlRUfQaro1Gu2oxC/jdEwi3l+lHWkEKI93hvwqnzonFOgX7IlSTd0DrNeHo3gJoi2vxqXiyr1kWb+gCzLPLCFyQi9Hum1RINqAF1VyWiYvoKyJjMGMTdY0C+EClCck5NaZshltZuzU3lCGs7cT8ZuO9BmtBb28jMcKGCzLZgEYC2ALgPMAVrIse5ZhmDEMw4yxbTYFQEkAcxmGOcEwjOfVhDSZ77ZdEq0qAtYOa154lC5F94wtRDdJZqAq93BKTc+SfRhreRxI4Vbkz99JwprIGDsDJJZlcSYmEc/M3c+HNvabs192MsGAwdJD1/Hpv/pd9eVC2KeorNScu5OkO/RNiVWCjkNPvqkaHwrCarkJutSV3QjSlfrt5+8h28Ly+epK28k9TPUq2n1n7xUM7nPOrZwZFsA5el9Azx/38quSoooEtv9rfLwRg2VEMzVkV1sVvu4xS48hZMIGxb/TzAfhkF8PIWyKNb+Tm6gqheMK4SaucgMxRzl1K9FuRfd0TKJsiKcQpQFX+MU4jFgSIYoaUjp3GdmsaGVIL5E3HuJ/P+2z84mQDiDV0GvEO3OL/jKQUs7eTrQTOwCrQD1n1xXROXz4KBOHr95Hkp5JkUY/zPkGSElIzcDgXw/jjeX2ngGLD0Rj5O8RogG99BzJCSd6mhbz8DFCJmzAZlvqX7aMKGRhgZ922oeVS83tuPvzaPQDRN54gBd/Paxpqjjol0OaJpxKyP3Fg385jHdWyvf1V+6lYP7uKH4SpRcuBecLm0muUYTC5x8yn19x9CZG/R6B5xccwtCF6t4EeuBWnT/8+xRCJmzgxS2t55VQQHZE8Bemb8iV6+QiN+UEQCNoXekvLDiEUUvUh6JqnknSleaTMgsVABDzIEeM4p6LOy/c4xc4pONEDq5r5CLx9lyKw8glEfKpFJLXTt56qCsFVynVS4i0D1Gq9MMhFVfHrziOIb8ediiF89n5B0WRuY4Kh19stAoXsUn2zyqhCCPXx9xNSsP9lHSH0gkAYP8V7YDzLzdeQL+f9ju0fy3uJD6Gt+ArG/V7BLp+59jClvSbP3s7ERfvJiMtMxvtvt4FwHpNSUuyKuGI982ZGMeiqNIys3WIomKGLTqKPrP2IjUjWyQq30tK0z3v6DNrHz5TWGSyWFi8sMCx51pewmMFDABgWXYjy7KhLMtWY1n2C9tr81mWnW/7eSTLssVZlm1o+9fUvS12D2k2l3npw0bK3svxvAKpd9LV8ssdaPDpVrvXpc780smdlqAhNUBauO8a+s7eh+M3HmLJwWgA1gc3N4GOS04XhSVO/ucMFsmUY7qtkJ8rDWEPmbABW84oV0s4fuMhZsqkGXBsOxeLgxru90Lnco7o+FR0/GaX4mdu3H+Eo9EJ6Dt7L9Iys5GanoV7SWl2KqpWtY7X/jimOtiVq1jS84c9aP7lDtGAV2pCJzfGaGxbuVx2+Dqu3FNW+8/EJMkO7h+kyg92uEvIrkOXtCEzm+W9QPSy8fRde2NRwc87L8Timbn7YbGwfDnUulO3KA4KHYVlWVF45f4r91Xro28+cxf95+6XMUXN+d3MSJIRtoH4GUmI9Dt/ncCCPdbrOy0zGz0FETlK49A4myBx64H2gG3+7iiHV4buJKYJjMWs/zs6SVXjukQsMpJvO0WhpOl32y6JQkA5GEbs12IEoZijNOjl+gO51TOuT70nM0jn0Jtmey0+VRQ6ftG2isxN6OQiMACryaoUJWGPYYD3Vp7EvivxduWYpfn10oiFgfMPYOPpOzgTk4jOGv5MKSph8mabqg6cfwC/7L2Gyf+c0d5YBTlxTpjOcv5Okkh4l6IVpbnjfCxaTd+JHedj+WeW3gsWeksAACAASURBVMlhanpOv8cteOhNIQHEzwluxVUOvXs0aq4rRKmsPAD8uvcq3lDwRjl/J4n37pISm5SGDgpjB2fS3IctOoLt52MxNzwKE9eexvRN5/HlxvMYuzwSUZIozGfmHnBZCq7W91Lvk628t9b1+6k4f8d6jo1WX+MEA7XnLIeWmH1GxbNHD4sPRKPV9J3o+cMewxGPenksOD837j9Cp2/DcfzGA/y615i/iZBTtx6i1fSdsiK8HCduPUS373bLejQB9v1Kn1n70OOHPSLRPiU9S3ca36VY+zHQ44xs0SBPOq7UtUAA61jr591RvHA2Y9MFvL4s0q5crBbSVN7eP+5F8y93qM479JKclsVHxAL5t3yxj7sbQDgP9/Ay8rCXG4kIUxIePsrAuytPIlmmw7lwN0nWgdkZhBPDeeFReLNzddH7wkiMLMEqXciEDYie0QfDFx3R3Znm7Ef9qR9+MQ4f9Kwl+x6XzmCUhfuuKRpa3kx4hPaCAcove65i3cnbsqG6pzRcuTeduYtNZ+5iaMvKutt22XYcYdSFNFJH7grj8lWFoYtqfLX5AuYJxB1usD9dUu7va5mJHMuCF65WR97CtH51dR1TjsxsZRHgrRUnkJyWpSuX1+hANy0zGxaWhX8BH6w9HoN3Vp7E0hHN0a6GgsGwoJljbIaw91MzUMTPvvtOzchG55m7sWBoE3SvU0b03puCVYnIGw/QuFJxu88/zsjmQzY55CIu1hyPAY4Do9tXw/k7SSLPE+HAsMWXAhHChDmdxcKKVs6U4KIFxv91wnQPGiX6zxOnijiTziOXymG07CH/mmR2c+FuEqb9dw4FvL3w46BGCCzoq7i/zGyLrK+QIxOm+6kZojDz6Bl97CJlLKz8hCQpLcuu7N2HKrm9SqkyM7ddQpsaQXbCBsfR6Ac4Gv0AnWuVkk2hE+8rp3/acT4WHUJz7l+Hnskq6C29qAXLWiM5UtKzML1/fQDile8sCytronkvOQ0T15yG2jQzKS2TH0MIBaeE1AyHjY65Z4MeIzqtBRyOFUdvomtYadSvUAyAtX8b17k6GlUujjbVgvjtFiqEZwvPgJKgI/d6QmoGouJSRGWBpcilAAHW+/Cf4zGilDfhMfTejsdvPLC7N7wYBhaWlRVOzUItuuJxRjauxqeI0nCUePPP46hdNhBdv9vNv7baYJnhF3/V3y9PXHsa3w5swP++/uRt2dX9pMeZyLaw/KRYKGCqXbucYHzhbjIu3E3G5L5hgs8pt0tJCNC6TxYfiMa1+FQ+rbFr7dKq2wtZGXETi/dHY83rrQ1PiLkyxqcVohwU+0kTw1trT9mMrwfU539fExmDyiX9cw6lM4c+Ki4F0zddwJ9HbiD8/U58xPjFu0lOebdwPlpq8w5H4Z67l7/oBV9vj45bMAQJGHmE9Kxs0QqFHM6aar0uWOGbGx6FHRfkw7WUohyEHFcIe1RCOvgQTjqiJZ3lN5vFD1qLhdUlXhh14zW7zFJaZrZqTv49yURr5jZlWxcjbUt8lIm/I2/hlTYhujtpwLrq7kyaihLzJJEp3NciNXCSCwNmkRMCzLLAjguOm9ZJq30Krw5OuLipo7rBjzKu6Wp0mbkbMQ8fI3pGH16IuhyboixgyNBUEp0gvbJP3nooEjDWn7wtqgzTf+4BRM/oY7ff2lOMleLt8M0uNJERQjjkQmvFEwD169GuMocDM+cvNipPGJxB2hSpJ40z0TqOCsR6Ts/ryyL5yfnayBi83DpE0fxx+KKjdvnJc3ZdwWxJSse4P48jTSB8paZnobCfj6oxJmA/sWFZ1q4UtVEu3k1WNYfWk56wU+HZJ0R4bY9YEoHxXWvwv3Nfw2ODq8NmoPacS0hN583kpj5VBwV9vTWvmWwLq+jZwTFySYQov1wo6vab43gIe0aWBfN3R9mJzUrtVIObVN5LTsf/ftov6v9mCYwcg4oU0NiPNnK92qAFh1QjM9T4YfslBEiERuH3piTeHJJEiUr9ePrM2qu5kGMGm1SiXWtP2Yx3uoXq3pc05eJvgzn+0qgSNXZduIdhi47gtQ7V0KJqSSzeLy9qRVx/gMnrzvBmqcIIALW+6KTB8rAcdaZukX1d66uUXifPzNV3b9aavIkX1/rPPYBXO1TV9Tm9KAqBBhWMbAuL77ZdVE67FezuUmyyKAXDiwGmrjuDsHKBeL5ZJf71NZG3cDQ6AU83LI/MbBYlbf0DtxDJGVB/8q85ETSuLO/6KCMbRQuRgEHkMmOWHjMcYaCG9B6R3vByIbv8Z2XusEuxKVh3IkcJlyv3o4b0+StsT0eJOZQ0KkSv6ulMmGVccjrup6ajVplAh/fB1a6WIy3TvBKHQh5nZOOjtaew8fRd1CtfFM2rlACgr5OUEy9c0blmWVjFgYEUJQXfEZQqYwhxpm63EnJGekrffLaFtUY7aPCmjHeBELlVo5AJG7D6tVaoU64oCvp6Y5PBPE7AaoIpZ4SpF61rXpjzuuXsXV3pJ7mFo3drtoU15PQOwK6qjxIsrGXTpIaJQoS+ENyAVq7kMCA2V8u0WJCVbZFdqd0qKeXY7IvtOPdZT80QbG9Jh7I6MkZXaLcaWikLekx+HcHRHGqzUZvECJ3why48jFVjWqvua+D8AyhUQHuYKFedySh7ZDy8lpn4XUnFpGWHr6NYIXuxwqhHiRwMw+DItQQ0qFgUfj7e+GnnZYfFCwC4kfAYdcqJBYxZAuFcqV98YUGON9SE1fbPc62KVM4gjNwz4/pQ4rbK/W40vUTK/dQMhF+MQ/jFOPStXxaPFSJkAGDd8RhUK1XE7nUjqZCvLD6K9KxsLBvZkn9N+De8sTxSdQFRScT7ZssFvNm5Bp+ezaHmxSJEGBl07k6SoYUwPSjtzahZfDWtimaC0yM1EX7/71N8ZJ5QwODSnv88Yt1+01vtRJ8z41QIDXkZxhpteeP+I9SrUNRu23dWnsCoduYKSHkVEjDyCFLxYuG+axjRtgoAxwbSNxIeicyiun+vv6NYsFte3NBTdkoJqTL8mQE1U28nZ/Q8CTumLjPDkZSWJbtq7SyZ2RbUmrwZDWQ6K8W26dxOuKKu15xQCYuFVUypUJsw6UGvev20E6t5UoQ5goBzApejCK8xuTBrvfmQuyXeBXN2RWF811DNcEGu0kn0jD4OeyzIYRXkxK9x6Uirjt3CVwPqixzMlUgVTGZfXXrMtPaZAcs6VmN9zi7tKhlSftiuL8qHZYHvt10SrSgLS18CwEOB58w/J25jeJsqovevxaeikK83Dl8Tr95+vfkivt6s73rUI0KkZWbbpag5a7AohyPGl44grNohZzYsZd/leHiZsBj2r6Ragt4IFi4tZd8V5YURs1JX9LA60rlKXVq34s+ScYvelEf742jf8wmpGXju54PoU68s5gxpjG+3ml8kT7h6r6cCiJ6qL/kNtUUjo/x3Sl3gN2NSLxf59dl/53D5XjKm96+PDRptUIrEmbMrCnN22Ue05jZKZ0guVR1Qj14xG7m0QjkBbLrEX8eM773nDzm+MgwYDF14GKduJeLk1O4oWkgsXK6JjMEag2lT/L49ofSKiZCAkUeZ9t85XsA4fsP4IEMaYWGko9Ayr3QEaedhJLRO7wqw3hxZjjMx1tJs91Mz7PKvzeSp2dbcTyN/8zaNEndyJAjCuR3pdL/eclExFNQVqSZ6uGYgHFSLx5nZCJmwAdvfac+/ZrRUoBGExrfZFousZ4KcEaxeTt1KRJPKyukdrkRu4CjM/f5ozWmsPR6jmRJyxYlVS1ez93K8rlQDwBr2bGGtIdt6HPod5feD1+0GPO9KKiAJB4tyFQ46fRuO6qWKOH3tT113BsMk4ogQMycXSrAsnDa+dOi4OrbREwGmRGp6FpYdvo4RbauKvG0AfV4pHMdvPMhVkUINLc8RLc65QPySY+/leBQu4A1AO21lw+k7mGPCMeU8cTwJPZWy1Dh1S3/K8V0nSw27ipT0LE1vMkf588hNXdEyudGnAsbTsTmeXyCuFnf6ViJqlglQjfg2kzUKVbiUkDMDFhpd778SbycgOwvD5HjcNfh0K05O6Y6i/so+VXKcvS1/HR67/gCdapZyuo2eAgkYeRiLhUWTz7fpMho0g8RHmar1mp0hN0LDj98w5ssBWCeQrjS3epyRrTs8XIgjK5Xj/jyOc7eT8GHPmg55I8l5UrgbNZ8QR1kvCLOW+hqYSd2pW9DCltIzc+sl+PmYm5sYl5yOLWfvoofEzFMOveXJzEJvbXJhJIEnkqoz3aHVdMdqvRslJT1Ld1ljNcwQ7pYcvO5UJQczeMbEiC0jCFOEnI1Ok2POriuYGx6F4v7qfg1aSD0R8jIrczHCgLvvV0XcxNjONTS2dp7wi3FoWbWky4/jKG+tMF62Ush2AwsyciazTwKuEkccwZloayFP/bQPQ1pU0t7QJKRRt1popRBLxWMzkI7NHz7OMCxgDFYwql28P5oEDMIz+Cvipu4cNjNo/uV2uwoFeQk91QukSPOlM7Is8PU2Lw5LSSl1FfN3R6FqUGGR+zIhxuz8TjW4lav0LAsK2Vb1zIKrWHJkYhfNbfWWJyPExOdShRNX4khKi14cEWfNRCk02dUI76d1J8xdoWNZFksPWtNiXBkhltdwh2Gqs34tRtCK9nAnrowqexJZceRGri1MuhszfW7MRE+kj0tSXCTjz9MxibpLUT9pkICRh8nNhwbLsi4TLzw1JBCwN1w8EBVvaqdldjlaPXwgY+ZF5GC0qogzCKswuOp+dsc19qQgdDHPq7gywowwf+J54uZDXpiRVm56knGlIaUSJ3WkPmQ5UVpRiCffp+449/mZCWuUS0QTrufi3WQciHJNtLkWMZLKd2M1DNqNQB4YhMfw1Wb7/CxXUeUjDXdfJ5CaxXkyw2ilmjCRy7mwgipnTkUQRN7kpgdV4nnS2X/lPn4/GK26TfWPN+VKWwiCMIceP+zB5L5hbjm2GVWQlJCWLc/r5J+CsESeRVqCjyAIgiAIe+RKIhPuY4pCCWKCIPIu0/JBdKWU/CVfkIBBeABapaEIgiAIgiAIgiAI4+SzAAwSMAiCIAiCIAiCIAgif5K/FAwSMPIAUiNJgiAIgiAIgiAIgnjSIAEjD9Bmxk53N4EgCIIgCIIgCIIg3AoJGARBEARBEARBEARBeDweLWAwDNOTYZiLDMNcYRhmgsz7DMMws2zvn2IYprE72kkQBEEQBEEQBEEQhGvxWAGDYRhvAHMA9AIQBmAQwzDSwry9ANSw/RsNYF6uNpIgCIIgCIIgCIIgPBSqQpJ7NAdwhWXZqyzLZgBYAaCfZJt+AH5nrRwCUIxhmLK53VCCIAiCIAiCIAiC8DQORt13dxNMxZMFjPIAbgp+v2V7zeg2YBhmNMMwEQzDRMTFxZneUIIgCIIgCIIgCILwNFLSs9zdBFPxZAFDLtiFdWAbsCy7gGXZpizLNg0ODjalcQRBEARBEARBEARB5B6eLGDcAlBR8HsFALcd2IYgCIIgCIIgCIIgiDyOJwsYRwHUYBimCsMwBQC8AGC9ZJv1AF6yVSNpCSCRZdk7ud1QgiAIgiAIgiAIgiBci4+7G6AEy7JZDMOMBbAFgDeA31iWPcswzBjb+/MBbATQG8AVAI8ADHdXewmCIAiCIAiCIAiCcB0eK2AAAMuyG2EVKYSvzRf8zAJ4I7fbRRAEQRAEQRAEQRBE7uLJKSQEQRAEQRAEQRAEQRAASMAgCIIgCIIgCIIgCCIPQAIGQRBEHqNUgJ/T+6heqogJLSFcyYi2VbD3g07uboZLWD+2Df/ztem93dgSgiByg0MfdXF3EwiCyCeQgJEHWPhyU3c3wWMY26m6Q5+rVSYAoaVpwkbkD15oVlF7Iw2eql/OhJYQruSlVpVRsYS/u5vhEupXKMb/zDCMG1tCEERuUKZoQXc3gSCIfAIJGHmAhhWL2b3WpnpJRH355K1ajWpX1aHPVQsugiwLa3Jrnjwqlijk7iY88Vz+oheyWeevZZozej4+3vSIJggib1K+GI0XPIlJfWq7uwkEYRo0OsoD+HjZf039GpaHtxeD5SNbmHosYVivJ+Lj7eCsiwGy84mAsWBoE7cde8nw5m47NmHF19vLFDHOywQBo5Cvt/M7EZBX0lqaVymRK8dRmgDMGtQIF6b1RICfRxcSU6RN9ZLubgJB6CKgoDn3mLsm84NbVHLLcQFg/4TObjs2Yc+zTSq4uwn5kk1vteN/NioS1SoTYHZznhhIwMgLyEw0yhW1PgxbVw/K5ca4F2+Ds67SgTavANa9AkajSvZRNK5gct8wl+6/ZBHnvRcI56lY3Pm0AgsLp/0V/hzdUvT7D883dGp/0/rVderzuYUZ51+OYJ3eJrXLBKCgrzeqGhB8XDmZmN6/nqHtfxrU2EUtcT3OTmjnDHbP395AJpLzSWPlq60Mf2ZAY3MmfXrvbWc5OaW74c/k12i8af3quLsJDnHx854u2a+fj7kLDoSV2mUD+Z9HGowSp/RJxyEBIw8gN2dvW0OfcGF0lZWRUUscWS0rYFLoc83SOerkpc97wcvgzT6hVy3+ZzMFjGlP1zUkSvw9prVTx6tTLlDxPaGh4zONyjt1HC3MWLVX473uoaLfHRlwuouBTSqYFkHQqqr6PTeoeSWM61IDpz/p7vBgJyPL4tDnhPhILoinDV5/0ggCowKlJ+BfwLlBYVCRAvzPg5pXwp+jWqpsbYXryd7oWE33cfxNjpYR0qtuGUPbFy9cQHsjD2GGQJwJKxuId7uFqmytTe968udq9qBGsq8X8PFCp5rBTkc7+fmYN9xrUrm4afsygz71yurajnUg9W7qU2G4MK0nyprg39A+NJj/2Wi//ZrOe52F8b8xclI3w58xys53O7j8GEI2j2+HF1tWdtn+nUmnVRNWPuxZy2VCg3D4nFtRhLnNomHNnN6HkTnPjy/oW7Q5Nqmr7OvC579R9Iw3/9cg/3qdkYCRBwgo6OvwZ8sWLYSPe+sPaZJ7+AX4GT9+8cKOt1lIq2rWjuTtrqEo4ONleIIjTL/5aXBjdA8rbUq7/Hy8dE00OJydmKmFn+5+P2cV3dXzP0cEJCNhi4UFE9ovnqmbpx6yDSsVw3fPNVDdRm/Iv/Dvrhpc2O59by8G73QLRUBBX/j5eOPfsW359059om8FrnJJfxR0clLkrBXHouHiwYYzixHCe6ycwmTDSF+oFz0rtBEKgxfrezmTBx8vhu/zhMwb0hj/vGGf3te9jrpw0FYQoefKhZ7Agr7oXa+M4fv1qwH1MLq9dcWqvxPiq1mCOcfXz9bnf65XoSj/83s9nBMvlrzSXLTiJhQCOtYMlvsILn3eC4tMSN0z8+vvXKuU0/v478222hvpxFdnaqnRNYywsoFgGAYFfb0xom0VB1qWA8OIvwOjk1RHTZe1zsx3zzVA8cIFMO3puvzvroC77nMrGtWLYZxe3S6hIrTufLej5ue5cyplaKsQxc88b4JBtxLc+M3bi8Hw1sptyMt0rBmMPvWVBU2txSEAWDRMf3/br6G+51ahAt5Y8kpzOyH6l5ea2i3cySGM8uDQSicvFeCHWQrCeH6ABIx8QkFf8VdZtJBVQGhUqZghRT5IJkXgFQce3NzxpbSzRY4EFvRBX5VORgoXtuvMBL1J5eJY8FJTLB7eDGM6iFcznnJApXRm8tdTMPF4q0sNXQJH19pW8UX6bRYSrADLRdCYiRfDYMv49rpTD8Z0qIYKxXPEl+Yh6hMc4QCzuL/94MFTO+NuYaXxQrNKqF+hmF1UAseBCZ0x+SntFJ+PetVC9zo5QpuvjAeOlHoVioJhgFHtqiBQIHhGz+jDTxA5apUJQO96ZdCnflkEB/ihqROrqd5eTE6algP4ykw8m1QujtYyk3gtygTmiBbrZSZHw1qHYFR7x0yApXB96jfP1te8d9/pFirbr8qhtK9e9cqimoyQpcUfI1so9sVSBjapgHOf9ZBdGW5drSSeblgOlRQqonh5MZg7pAlaGBQwnm9WCRNtotK3AxvguaYVdA3mpNQua24ece0y8hFvFYv7o51tFV16n/80WL5vEqZVdQgVixQ+Xgw/+Za7F5xhfNcaot/V5nIhJf3xQc+aqu87w7NNKmDjuHai1+qWLyq7bftQeSHHDByJTtDLoObaXhPcs7CGC71+WFb9Ofv1gPoi8ai/TYB9sUUlnJzanf9diJn+HatebYXfhjXV3S85C9dn/TGiBaoG6e9DvRh1YczX2wvF/cV/QztJZPRQlQiQ6qWKoFtYadF3VTW4MC+aXP6il+626oXrsliWhZ9v3p7+CSPKhH0dwzCYM7ix4mLRLxpVHU990h0FNKLVjERdcu1kwKBDaDAaVBT3ewV9vTG2cw25j4ooFeCHfR+Kx91Vg4uoRouoCXD5gbx9BT+hhEmUuGOTuopW8QDgM1uImtaKeUnBBb7ujTYoJ/OgKuav/0HTPaw0vnymnmjFaFyXGhjVrgqiZ/ThPRpKBRbET4Mb48QU+9BF6U0qxIx8sY41S2FCr1o4+nHOqujLrYyFGjrSihU2v4CwsoGYP7QJn5PcsWYwvDX+LobJGYCqrXozkjt67euOp65wg9ZhrUP4YzMMULNMAF/asXJJf00x49X2OWLR8DYhqtvKhdOtH9sGveuVwdrXWxsKh1v9mnL6ydfP1hdNxtQG73r45aWm/OQzUuaaBqyGl1rXTfSMPni1QzXUKVcU+yd0xtSnwlBaZ+jytel98HEfe4GkcSWxQFE1uDDmDmkC/wLWB7zcir+UIxO72L02sXct1C4bgB3vdsS+DzvJbuMIq19rjeWC6CbpREyJlWNaYdnIFvisXx0EFfFDy6o5A8OgIgXwyf+Uw3bnDmmMgRqRQr8Nsx/46OmPxnXR137AflIsRJgCV1lhQin3ujBsvlfdMoqrgt5eDPwL+IhWhrvYVtqrBBXGDy800jRRdqZ39vJi8PWzDVBLQTxQI8TAxMRZqgUXQfSMPljzemvRs7ivwgp5V42oP+5r1RLCjE6+x3cVC0Fq4vbAphUxWiV3+yNJ5FL9CvLigxLfDmyAsHKBvFg6TGX115HJvd5xgdGIsZAgbeHmHVtKkdYahBfD8OLM1KfEfZHeCdEBHT423t4MVo7JefZJT02pQD9ePKpbPlCwHaMoKvj5eqFfw5zr+1OVvlQJ7vz4eHuhc63SKOKEAXHEpK4482kP2ag0KZveaoejH3dF2xpB/MRUj6Asd01JxVVpRI9clMzykS1ko062v9MBv7zUFFMEixr1BaKeGYJmlaDComhEbj7AAugYWgrv96ip2xtHb+TMjy80ROdapfB211CMFCx+qo3rAXG6uBb7J3Tm5ziAtTph9Iw+iJ7RR/OzwmesNAVj5sAGogUgJWYO1B+lxF0i3OVURCGivadGNGXlkv6oIPDeWj7KWsChdTWraNa7XhnULB0g8qMSRhLmR0jAyINIQ8pLFvFDET8fkUpusT2ptR6q3L7+e7OtYkemNTToXa8M/hjRAhGTumLBS00xuEUllC9WCNvebo9Nb7XDO91C+YkVty9uUF1MZpVdeJNy6qXeEFEjCE215NrBoTXpVmJQc3EoYONKxdEhNBhfDbDvVN7oVF21jdKBl3C1WYhQsKpeqgjqVxB/p4uHN8OW8e1l2yeF8zOoUy6QP75w/yendseW8e15MUMKt9pUqIA3n7qjNc4UChTcMetXKIa5Q5qgUSX7SAFhdIeUJpVLiCbVQkX+uaYVEVo65+E1qJl5Tu1qD0AjA+jyxQpheJsqpnsXVC4pP9lrXKmY7CQdsAqOUka3rwaGYVDEzwcVivvLbqOF0oq+kPFdQ3UNbsoXK4Q21YPwki08d8krzdHDFskiXf2VhmP2rlcWzTSigzrXKo2/Rrd02vhUjlmDGqFKUGEMbKodPly+WCHF8PN5Q5RDShkwmPdiEwyyhSgXLuCNtwWT3BdkVpA72NIaeAFT8v6w1iH4sGeOz5DWypUr6Fq7FKb3r4dfXlJfWRPydlf1KA9hCqTwnhX2X/UrFMPGt9phXJcaosG0EKEoVlhmksoC+P2V5uhTv6ydeLX29dbYI0gPdDZdS63vDSjoo7rYIXzn1Cfd0a5GsEOCJVc96X8NlYVo6d956pPumuKO3hQi7m8UCn3tQ4NlBZWFLzfF18+qT1RKFC6Al1uHoGXVEnhd8AyXSxljAPSoUwZHJnbhPcy4dvw5qiX+GNECq19rLUoHlCK3wCTk62fr2z1/shWsjk5O6e6wN9dLOhZ8vpFMnqQCWgubwDysdQjvYTK5b5jqivKItlUwqU9tBNnGvPXKF0WXWqV4EUmOwn4+/Djqm2cboENoMLaMbydKX4yY1BVda4vTouREOulKudI4TEjr6kFY+3qO0CIUjaR8qdMMmYt6fL5pRdVI5uAAP8wWmAYzjNUv5vdXmsPLi8EbnaqjtE5z2fkvNsHRj7tqerH0a1gevw1rhre61sCkvmHY9V5HrB/bBhWK++Nplfv+1Q5iAXV6/3r4Y4R9lcVd73VE+WKFRAJPYRkx7H3bolRISX9ETOrKj/eEfcmbncXjbqFAzwlscosK3l4MznzaA2c+7aH493AsHtYMveuV0fQgGqRRLWiiRETmhAtuLhVSsjC2vN1eJDTKRTHnJ0jAyCMIOyklp36hy3z7GsEIKuKHUe2rqg58Zg9qjPFda4hMItVc1jk1V7i6OXdIE7StEWSnatcoHWA3UeCjCJSbJGJclxoY06EanhdMMA9P7MI7ubeqWlJRdZ03RL/bu0XhJLWrEYSnVXLcIid3w5GJXRTaIO74Cvh4Yckrzfmc6vLFrOeyUAFvvCVZZX63WyiiZ/RR/K63vN1e9nXhEbe/08Fu4NexZinULBOA6Bl9ML1/fax5vbXIBJRj69vtMb5rKLaMby/ysBDurmghX8U0mv0TOmPjW+1k31ODYRjeVaqXnwAAIABJREFU5E5pxbF/Y+v3Ma5LDez7UH1FSjipPi152JSxXcvLR7VQNBXUs0qkN0KJYXKus4FNKmCrwncoRe+gRi8lJX8rd98+3ag8OtcqjeOTuyH8vY6iyRNgXVlZPqqF7PXiKMULF0D0jD78Naa0EulI6Lefjzd+HtoU0TP6iK6DvR90wqox9tE5XjrSuFpULWkn2A1tVRklCxeQ/T71lqX+X4Ny2PVeR9WQz2L+BfBhz1pYplI6W4+A4OPthY9718Y6SduE18WRiV1wbFJXO+FSuir5esdqogHtyHZV7QaiRlESRKU0CynOt8m/gA+6hZWWjaTjoiS4Qf8nT4WJ+tvt79h/bxWK++PwxC44PlkaTWV/jbzTLZQXzaT4aE2sWaBN9SDMGdzY7tw2rFgMlQQTbSN3gFy+tJZ4rPZ+EcGYgJsglwosaDhEmTPCNLL6HljQF1Ff9lZ8v5i/LyZKSheWK1oQO97tgGYhxUVpAy2qlMCbnauLxK4BjcvLRmd1qa0eJVAmsCBWjWmFooV8sWJ0K9ECktwKf1nb+8K+aPf7nRA9ow8aVCyGtjWC0KRycZHnil4m9KqFyiX9ZU28LZIwAe46K+qv/PyWIr009ES8cGKsktkl5wUgTI0rFeDHT8w4Chfwxpbx7fkIXmGVB28vBguHNdNtKluvQlEseaU5ShbxQ6eaOYJFUBE/u4WlUe2q4oun6yGkpD+Wjmgua9a4aHgzVfFECDeuUYowq102kI+K1IK7voa2qoz3uqtEj7Jinx2GYTBnSGO0q5GTpvVl/3p4s3N1zBrUSDH6iWGA0oEFERzgJxKs9VAlqDC/kPbDC/pTgL0ZRrZYQRXb/cz9r7QQlxMlXBhBRfywfmxbhL/XUTWyReiZt//Dzni1fVVsGNcOXzxTF90EkXRc36CnH2tdPQhzhzSRvWeEERIdQoMRPaMPlo9qwRcfKOLng9KBflj9Wiv+Xl35ait8K4gACbRFTXHjWf8CPm4r2ZzbkICRR+AcykNLF9Hl4F6yiB8iJnVFnXJFVcPlyhQtiPFdQ0U314EJnUWOuZzHQmjpIrw5jrDzN4axSIrCfj6Y0KuWaGBeOrAgn3uoNLE5MrELetUrq9u4TikkG7CWn/vxhYay/gslChdQXHnWOvZXA+pj9qBG/APt+ORuvEr8pkzYuXB30lDPd7uF4uVWlfmJht6V0MaViuPIx/arRaG2Fe+aZQJE14ZWShIncJUvVki0EpTzLdl//vOn66JC8UL8RIJbqVES3swqYTmpTxi+f74Bb+p0fHI3nJwqNsD8VSZfslXVkgh/ryM2jmuHWmUCsHykfjNX7k/y9mIQWjoAJ6d2l5kkiXE2j7F19ZKoWToAG8a1xbcDG9itNr7YsjK+HdgAQ1pYJ3/FCxdASFBhVCrpj/e6h/KTwn4Ny6N1tSCsG9vGznzTWSb3CcPsQY1Qp5x48M55Knz+dD00kAzsGzpYFrJiCX/ZgYejEbvVgovg2ORuCC0dYHcNSSOgnOW1jtVU0yXKyKQbyd1Go9pXRfVSAYrVrEoFFkTJIn78tcft1y7PX3I7F/T1xke9nDNKrVkmwE48++IZsZAbPaMPZg60TiiE/kWfSgRfoQcP159IB5LVS8lH95QOLIjihQuIVvf0RAwJKRNYEP6+3mgeUgKzZTwyKkgmd291EedyO0pjW7i3MIS7hsLfqXW8kW2rKBrfvaixaijlq2fr46fBjfjnixxGxcr3e9Tkn4ecaS0L6325akxr7HyvI7+tlxeDd7vXRLXgnIma3sgWaRnUQxO7iPajhdFSw4B1LCZn4szRpHJx7Hm/E8Z0qIbd73eym5w1r1ICYzpWMxSer4SjV6PS+RUtZqnsnIW1T3A10hLxDKzpX+Hvd0K7GsGyZo3lihUSpQiqXbuc14WSSG/k/Cqd026SdDU9YnBQET+8270m/tegHLa9I18pxtnoLyF6fey4c7nujTbYMK4tlo9sgd3vd+Tfb1SpOHa/3xFfPqPvviro662ZaiiMwCjq74uPetdGzTIBGNKiMj/eGKfTs06LBUOb4DmZiMvW1YL4SOQifj44PLErmlTOWTBuXqWEaFFxcPNK+ObZ+vz4DciJWM/vFVqdK2hO5BoMw+CPES1QS8OsrE65QLtOrH/j8ijo642edcug2sSNmseSVj2pUNwfvw1rimYhJTB75xUAxlaDZFHYgdEBohJ6w9k//V8d1CoTAD8fb0TP6IMDUfEY/Mth/n1uUMc9vMIv3sOayBjVfT7XtAJWRtzSPHZAQV/R4Lt44QLY+rb4AdIspDi8GOuE45c9VxX3xQkeaZnZ1hcE57dKUGFci0/VbI8aHUKDsftSnGaHOLlvGHqplLST+/yLLSuLyp2NaFcFm87cQUsdbtFKKIXrff1sfX4gWtDXG880ynkQSIXBRcOboWXVkpj/YmM8eJSJj9acRiFfb/w5Okew2DxeXxQFBxeBwa+C6TQyW/lqK8zeedmhMrmBBX35iB2pQABYxRSlSjFy5lJlixZC2aLmKvxF/X3tjHSFUU3Nq5TAurFtETJhA//aqjGtUOPjTaa1wVuw+hI9ow8+/+8cft13TXbbErbQTGlagFnlQZePaoGoOH33bKUS/riR8Ai/vNQURfx8MLZTdfy064r9hjL3XpPKxVG+WCHEPHwsu+++9cvCi2H4VJwRbatg2eHruKqzbY5SSSIoD2lRGR+vPWO3jVrOM/feq0sjDB1bmpZWJagwFr7cFC2qltQtDDeoWAyj21VF9zql4eUl9iQArCkDV+NT7O7nt7uF4scdl3W3dWCTClh1zP5Zw4UOT+obhoFNK4IFiypBhbEm8haS0rJ07btZSHGs0kgxeLNLDczaKXOtKRBY0FfRK+S1jtUwLzzK8GSJW0yJntEHtx8+RusZOzU/4+3F4J832uCZuft1Gwb/r0E5vLXihOo24e91ROLjTNn3HPF8KFeskF16zPKRLRCfmoFxfx6Hjxdjd69wCO+NLW+35/tOR+Y0H/SshaPXEgAAL0iqZBQt5IuaZQJwxPa+lBzhUPy6MKWEi/6Sm9ybOXmW8laXGthzOU72PSOTv9bVSuJA1H0A1mfVkWsJGCtJC65qE7ukHnYcev/MGf3rYcnB63avVyrhj771y2LbuVgAwPwXG/OeKwF+PkhO13ff68G/gDceZWQ79NnCfj5ItvVBPw1uhLHLj6tur+bRoZQOq7sttoiXPvXKolSgH+/5JMfwNiG4l5SGVxWMwNe83hrBOs26zcTH28su9XTR8Ob4+9hNPhKjTrlAnL2dlOttczUeKWAwDFMCwF8AQgBEA3iOZdkHkm0qAvgdQBkAFgALWJb9MXdbmrsorZYJ2TDOPmyfYRjVskJ66FzL5mFg+93Rh4paCsm+Dzvx4VBmo6SMv6xRSkpqvVEqwCqMqLWzXoViWBlxCwyseaCLD0QbaKmYkkX8cHW6dSCiJmBwyD10d73XEeduJyEhNUPxc8cmdUW2hUXzL3fIvj//xSaITUpzeFXQyPXSuFJx/m+Ww2gTNo9vh3tJ6QAgq3hLOTChM47feMgPjHvWLYu45HR8hNOq+atyDGpeEX8euWltNxg+KkW6mqdF8yolsFQmH9RTCSsbiITUDNxNSkP4ex3R8dtwU/dfsnAB06s2FJPc05P6hmFS3zCRaMLxXo+aqBxUGD3rqhtvaSHniwBYV2GkodRK/DeuLZLTsvjBirSvc2YRRu7ZsXxkS7Scbu0nHCmx7S7UuqCyRQviTmIalo1sIRvC36W2sfLbDKBeyq9aSV3muSJsf8DOdzug88zdAIBvBjawEzCm9auD5wSTTOHq9aoxrTHol0N2zwI90UzD24TwEw8OX28vfsLmDJ/1q4OsbMcGFeVkvL/0XPMNKxbDNZXnjBQ9z77cMJNtXT0I+6/EAzBe1lwvJ6d2R4NPt/K/96hThhctG0vSNb5/vgE61yot20+qITQl/6hXbYSWDkDnWqVw4W6yaDsjETkMY2ys8Xa3ULytmAKi/9y+1KoyDkTdR93yRUXpzkLahwZjy/j2Iu8tI5QtWhCLhjdDrTKB/JhS+PUzTM649JU2VdCzbk7/s+/DzniUqU/AGN2+KuKS07H2uPJC3aa32uHC3WS8uvSY6HVdl6Pg+9GqSucMjSsVR6kAP7v0bMCavuRfwBtdapfC50/XxYDGFUTV/OTwL+BjF+EnPZ5ZcAtbSgtLWlQJKoz3e+Sk+nDpJ0riWV7FIwUMABMA7GBZdgbDMBNsv38o2SYLwLssy0YyDBMA4BjDMNtYlj2X243NS/z4QkNkZFnw/t+nHPp8x5ql8POeqyIPDCNwqwlyvgEVDKQGcGq2IyvSakg7VG9JCcu3u9VA9VJFeFNKWQRP0IFNK+oy5jOG9hNa+tAPK6fecUnDJ6UUKqAeftc9rDS22pT/XEPnSKVWmUDUMjDPLFeskJ1ZWnCAH+YNaYwWBqNCpvevj/9O3eEH/n3rl0V6lsVQNRVHmD2oER47uELiLJe/6AUGQHxKBs7dSRRdN7++1BQjfze2Ii7HGieq60jhVsqkJfA4Vr/WCnsvx4teK+jrrVoiT42lI5qjXvmiaPjZNoc+LyWwoK84XUtyW/z1aiv8czwGgSreRkYQpqloDfo4ggP8EJecbsrxjVKskHV1t265QOy6GCcb5bfvw87ItrBuMSHVy/C2Ifh591XVVcf1Y9uopi3VLBOAyMnd+Mlmw4rFsGJ0S36Ae/mLXmBZ4LP/zoqqRwH2lTM4BjQujyPXEvgICiPUKhOAq/GpeKlVCBbtt0Y7sSyLxcObYdiio6JtZw1qhHF/qq/WcgP/lzQWJhzlxxcaakZhcCwY2gR3k9IwZd1Z09vBmaFqVQUSUi24MKLiUnVNMuUiA0e1q4KgIgUwQFJm1eHFLP7zLAoV8BZFYQoZ1rqK7OtybWhVtSTiktNx+V6KY40Sts+ANtSzbllcmNZT01NELRVG7nAf966NwEI++HD1aTCw98+QGqN2DA3GzIEN7MTTov6+KAp9YjNnFikUMKTj/colCzsc/RAU4MdHg7gwuAZFC/nKpkcDVmNgBlZRUum6cyeF/Xxw8fOeus2JteBSXib1dS6909PwVAGjH4COtp+XAAiHRMBgWfYOgDu2n5MZhjkPoDwAEjBU4FIh9AoYUqGhVbWSuDa9t8Mr8RVL+OPzp+uiex3tFS21wWSZogV1lUwyio+3FwY0roDVkbfg7cXYGdL5+XjrVkXNXhyR7u/QR13szEe1/CNcRZAtokDvhAawuu8X9jOvwoaPF4O/Xm2JAfMOmrZPIWqpMarwdbSsD0xHVXUjSNMxchMuMqJM0YJ2ngxaJSX1olYS0ijv9bCaoHF9mtRzpEnlEqIcVGfx8fLi+zY5zwpnkd76tcsGypo6SnFlvuzRj7saXqE1i8lPhaFG6SJ4pU0VnLz1kK9mtO/DTvwA0duLMSWv2ZV81Ks2JvSsBYZhsPeDTvDzFT8fg4r4GfZcYRiIJl3cvfv50/r9Gp5rWhHPNa2I9CyLrIBx5GPlaiXCFLxuYaXx6b/n8HyzSpqCuxIBBX1xbbqy4ace/hjRwu7ccvRrWF63gNHdVhZx0+m7hj0c9rzfCf4qz0bOmNNIBEbpwIKIikt1OGpDLlQdyBlrrH29NZ6Ze8Du/b4NyuLn3VdRVDKW5PpbaX8lvA+NjjXN6sO8GPAlf/Wi1xDVCKPaV5VN71NMy2EYDDB5fLFlfHvFam/tagQhpGRhLD1kTWnRc/qXjWzBp3kpmee7GrOjN12BUqUxZ3BVxJa78FQBo7RNoADLsncYhlF1jGQYJgRAIwCHFd4fDWA0AFSqZF65xPzOvCGN+XrhQpwxFwOgS/H8eWgT1FZwa9bi9CfdtTdS4asB9fDJ/8LsvEC02DCuLR4+ykRUnPPqvx7kJj++3gwGt6iE/g5Gpvz6UlNV0zAlJvWpjTrlAtEhNFj2/Rqli2D7+VgEB/ihaeXiiLj+gM/PNIuGFYvJejy4g//ebIukNHEudD57djjM8lEtRD4znoRSn2cmTSoXRwEfL8wa1Ig3KTUTN40JdSP1aNKCqyblaB53ET8fvnKBsBSzkYg/o3w70L5Uthlwz145cz7WgS/ejC6Ja5NS/8alXWpRobjY0+Sv0S2x/uRth9vjKHpSdY0g9EzSi5KvBQcnsmp5ognJtnD+S/q2X/lqKzz3s/ZiAHfVyZU5B4APe9TCG52q25V3bR8ahMUHou3SlzjT3G5hpXV/l8KI0zrlAnH5XopsaU29qKWwrn6tldPXmBCuMo9SaWFW4psF5Py9DOO6KIavn62PB6kZquIbl9bKCxg6zku5YoX4lD2uy+IqtAjx9OeYo3Bj4SATq7lpMaN/PczcesnUNBdPwG0CBsMw22H1r5DyscH9FAGwGsB4lmVlXUpYll0AYAEANG3aNJ/eFubj8IqzCfSo43huuSNmWUJ8vL0Q4IBCy02eOQHDzFVivTAMo9uVWQ5HV8j9C/iIXJClvNstFB1Cg9G4UnGsGN0SFifuQqXz+tvwZryy/nEf94bKCSfBE3rXwsdrz8DfBSs0eYXvnssp+8V5OwQV8bwa5Wb1edvebq/ok8NFX7gqjchoFYd3uoXi3VUnVatVGeXtrqH4de9VWcFh/otNDO2L+04ip3Qz1bTVlShVNnEljqxmmjkRE/bL1UsVwRUnw/hbVC0pStnrUac0nm9aEX9F3HRqv0rs+7ATMh304chtGlQshr9Gt7Tzo1CDuz68dX7nzauUMOWceHkxduIFYPVVk0u7qG2bMMtNavUwY0B9DG1V2aFSkm2ql0RBjZVvM6PxAGv67oVpPRWNx+Vuaz4Cw4VjTD1+YVLWvaGvbHiPOmWw+EA0nyrh4+WFdSesKSvtQ4NRJtAPT5ucHu4pCMfCuUXV4CKYY1sIyE+4TcBgWVY+OQkAwzCxDMOUtUVflAVwT2E7X1jFi2Usy65xUVOJPIaZgzJHcLVynBeVaR9vL76qiI9J4XvS08ANklyRWuQMQ1pUVhV3ngT6S/KmT07tzpf6yo/UkClbuHh4M6w44prJl5D65Y2lEQxoUsH0sOO3utbAW11ryKaN6E3V+O/NtrgtCJ82EvbrLnHMz8cL6VkWtxzbEVHYzKwZH8HOtr/TwfSUIT8fb3z1bH1ewGgfGow9l+QrSDiCKyNyXIFRP6autUvjaPQDVDBQ6U3POSkuSA0pWshXsQqLHHJpF01DSuDQR10cTq8r6OvtsMiwzEBJdDNxNP3EU6I6BzWviA6hwbqjFyf1qY3XO1UTea1wkR79GpQz/XnkSQjHwoRzeGoKyXoALwOYYft/nXQDxjpLXQjgPMuy3+Vu8wgz+XZgA8SnOGfwZoYTutmY7oHhhogOT8RTHtqE4+gtHyuldKAfYpPS8+Q10LFmKXSsqZoNaQpdaluP8en/5E0X8wp1yxd1KJ1n7eutUV4hZ9vVnJzaPdcFZi4c++ehxiJbAHPFfq9c9hBZ+HJTt4lFuUnb6kG4cDfZzpvHKKPbV8ULzSrZeVE4yostK+GPQzfQVGB8vu3t9oqVzIxgVLzgzC0dNVbOa8we3AjzwqNQNagwbj6QL4Gdm0zvbyxlzsfbyy61rE65ojgxpRuK+XteZCbhmXiqgDEDwEqGYUYAuAFgIAAwDFMOwK8sy/YG0AbAUACnGYbhXJUmsiy70R0NJhzHDFPDla+2kl3xccek35FcZD2M71YDl+8lo3V1c3N08xoDm1bAmshbeKE5+dk8aSitwjsiiKx9vTVuJDxytkkeR0Ffb5dHIU19KgzHbzx06TEcRSkXPzdwhZGfFn+NboUdF2IdWtXLgzogj6+3l+6oHG8vhveAcJbc7jcm9KqFl1uHOG34yzCMaeIFYDV6lZq9lgo035RYD8EBfh4XeelKapUJxI8vNHJ3M0yHxAvCCB4pYLAsex+AnXU1y7K3AfS2/bwPefv561bWvt4axZ3sLHrXK5MrFRWcoUPNYDQLKY73utfMtWNyD3El52ZHqVUmEDve7WjqPvMiZYsWQvj7ndzdDMKNSDXCLYJqBnppVKm4Wye7eZnhbapguL50Z8LFVCrpj+FttEtNypEXI5kcYc8HnRBj0kp1bvcbPt5esqatxJMBd49qVXh7Qm5lgvg/e+cdHkXVhfH3JiH03nuAUESKQOgd6VhAFAtFVFREbNgiqKBURUERBBHQT1FBBWyh1xAIgVBCaCEhBEgChAQSAunZ+/2xO5vZ2ZnZ2d3ZknB+z7MPZHfK3dmZW055jxmvNGAQrkePAfjbsfaHrLqbCqX98MfkHm4957A2dbBqQhD6t3J9uDhB3EsIkzmpUKUrypESREnnXklLrF+lrEOijgThaepXKYu3B7VQFLUUxD/r0f3tNfj7+iCv0IBQcrS5FDJgEITOMMYcruZBEIQygoK+EA0+oFUtDHWiYhHhWtrWr4zopAzdjrfupW66Vku517lXIjAI99Kkhv2l2Al5GGN47cHmip/Xq1IWy57piJ6BJAzpbdSuTGOVKyEDBlFieKFXE6wOu+jpZhCEQ9SuRIOdLXxMKy4hn33NxM6ebA5hg3+m6ptnQurt+tK2gf0iqQShxs8vdDGLahLuYUQ7fcp/E0RxggwYRInho4da46OHWnu6GQRhN/vf649KDlbmuJdoUK0c4lPvwl+nUryEa/F0SeviiFBpx5WU8/dFVl4hpvQNdOl5XMH8x9rifwcTPN0MQoHezWt6ugkEQdwDkAGDIAjCw5BImza+eaoDQmNvoFF1ul5EyeSvV3vidNJtt5zLx4V2QL2jbwSe7tIIT1MFKoIgvJQuTaohLC7VHDFKuAYyYBAEQRDFgsrlSuHh9vU83QyCcBl1K5dF3cruEeRzZYRMuwZVXHZsgiAIb+W78Z1w+WaW5jLPhGPQ1SUIgiAIgrjHIP8gQRCEvpQv7Yf76pIOjKshAwZBEARBEC6nMum8EARBEAThJJRCQhBEsadfSxIOIwhvJurjwfDzJZ8/QRAEQRDOQQYMgiCKNSdnDUbZUr6ebgZBECpULkfRFwRBEARBOA8ZMAiCKNZUKkMLI4IgCIIgCIK4FyANDIIgCIIgiHuEMhSxRhAEQRRjKAKDIAiCIAjiHuH3l7tj2+lrKF9a3yng0mc6oLw/TSsJgiAI10IjDUEQBEEQxD1CYK0KCKwVqPtxH2pXT/djEgRBEIQUSiEhCIIgCIIgCIIgCMLrIQMGQRAEQRAEQRAEQRBeDxkwCIIgCIIgCIIgCILwehjn3NNtcCuMsUwAMZ5uB0EQBEF4ITUApHq6EQRBEAThhdAY6V4ac85rSt+8F0U8YzjnQZ5uBEEQBEF4G4yxSBojCYIgCMIaGiO9A0ohIQiCIAiCIAiCIAjC6yEDBkEQBEEQBEEQBEEQXs+9aMBY6ekGEARBEISXQmMkQRAEQchDY6QXcM+JeBIEQRAEQRAEQRAEUfy4FyMwCIIgCIIgCIIgCIIoZpABgyAIgiAIgiAIgiAIr0fVgMEYa8gY28MYO8sYO80Ye0P0WTXG2A7GWKzp36qizz5gjMUxxmIYY0NkjvsPY+yUynk7McaiTcdYwhhjpvcnm94/wRgLY4y1Vti/D2PsGGOsgDH2uOSzQtP+Jxhj/yjs/4Tp+xoYY0Gi9wMYY9mi/Vco7L+QMXaOMXaSMbaJMVZFj/1Nn6leW4IgCMI90BhJYyRBEAQhD42RNEa6DM654gtAXQAdTf+vCOA8gNamvz8HEGz6fzCAz0z/bw0gCkBpAE0AXADgKzrmYwB+BXBK5byHAXQHwABsATDM9H4l0TaPANiqsH8AgHYAfgLwuOSzO2rf2bTNfQBaAtgLIEhyXMV2i7YbDMDP9P/PRNfG2f1Vry296EUvetHLfS8aI2mMpBe96EUvesm/aIykMdJVL9UIDM75Vc75MdP/MwGcBVDf9PGjAP5n+v//AIwUvb+Oc57LOb8IIA5AFwBgjFUAMA3AHKVzMsbqmm6wcG682j8Jx+ac3xZtWh6ArAIp5zyBc34SgEHt+ynBOT/LOY9xZF/T/ts55wWmPw8BaKDT/orXliAIgnAvNEY6Bo2RBEEQJR8aIx2DxkjbaNbAYIwFAOgAIML0Vm3O+VXAeIMCqGV6vz6AK6JdE1F0s84G8CWALJVT1TftI7c/GGOvMsYuwGi5e11r+0WUYYxFMsYOMcZG2t7ciiaMseOMsX2Msd6idq0ShwmJeB5G658e+6tdW4IgCMJD0BhphsZIgiAIwgIaI83QGKkDflo2Mlm8NgB4U2K9kt1c5j3OGHsAQCDn/C3TTWzX/ub/cL4MwDLG2DMAPgTwrI32SGnEOU9mjDUFsJsxFs05v6Bx36um/dMYY50A/MUYu59zfptzPsnqizA2A0ABgF902l/12hAEQRDuh8ZIMzRGEgRBEBbQGGmGxkidsBmBwRgrBeNN9wvnfKPoo+umMB0hXCfF9H4igIai7RoASIYxF6kTYywBQBiAFoyxvYwxX5EYyaem/RvI7C9lHUwhQYyxucIxbH0fznmy6d94GHOTOtjaR7RvLuc8zfT/ozDmDrWQ25Yx9iyAhwCMNYUwOb0/lK8tQRAE4QFojLTYl8ZIgiAIwgyNkRb70hipF1xdBITBmDv0lcxnC2EpvvK56f/3w1IgJB4SgRDYECEBcARANxSJrww3vd9ctM3DACJttP9HiMRXAFQFUNr0/xoAYmESk1HYfy8sxVdqCt8FQFMASQCqyew3FMAZADUl7zu7v81rSy960Yte9HLPi8ZIGiPpRS960Yte8i8aI2mMdNm9ZeOH6wVjaMlJACdML+EmqA5gl+nH2yW+gABmwGgVioFJ+dXOGy8IwCnTMZYCYKb3vwZw2tSOPQDuV9i/M4xWprsA0gCcNr3fA0C06ceLBvCCwv6jTPvnArgOYJvp/dGm80cBOAbgYdE+q4TOmKTEAAAgAElEQVSbFEZRlCuia7ZCj/21XFt60Yte9KKXe140RtIYSS960Yte9JJ/0RhJY6SrXsIPShAEQRAEQRAEQRAE4bVorkJCEARBEARBEARBEAThKciAQRAEQRAEQRAEQRCE10MGDIIgCIIgCIIgCIIgvB4yYBAEQRAEQRAEQRAE4fWQAYMgCIIgCIIgCIIgCK+HDBgEQRAEQRAEQRAEQXg9ZMAgCIIgCIIgCIIgCMLrIQMGQRAEQRAEQRAEQRBeDxkwCIIgCIIgCIIgCILwesiAQRAEQRAEQRAEQRCE10MGDIIgCIIgCIIgCIIgvB4yYBAEQRAEQRAEQRAE4fX4eboB7qZGjRo8ICDA080gCIIgCIIgCIIgCEKGo0ePpnLOa0rfv+cMGAEBAYiMjPR0MwiCIAiCIAiCIAiCkIExdknufUohIQiCIAiCIAiCIAjC6yEDBkEQBEEQBEEQBEEQXg8ZMAiCIAiCIAiCIAiC8HrIgEEQBEEQBEEQBEEQhNdDBgyCIAiCIAiCIAiCILweMmAQBEEQBEEQBEEQBOH1kAGDIAiCIAiCIAiCIAivhwwYBEEQBEEQBEEQBEF4PWTAIAiCIAiCIAiCIAjC6yEDBkEQBEEQbic7rxCZOfmebgZBEARBEMUIMmAQBEEQRAkm9nombmTmeroZVvT6bDfaztru6WYQBEEQBFGM8GoDBmNsKGMshjEWxxgLVtmuM2OskDH2uDvbRxAEQViTV2DA/tgbnm7GPc+/Ucn4bt8FDFocit6f7/Z0c6xIu5vn6SYQBEHoQnJ6NgKCQxB6nsY+gnA1XmvAYIz5AlgGYBiA1gCeZoy1VtjuMwDb3NtCgiAIQo7Ptp7D+NWHcfzyLU835Z7mtd+OY/6WcwCAnHyDh1tDEARRcjl+OR0AsO7IZQ+3hCBKPl5rwADQBUAc5zyec54HYB2AR2W2ew3ABgAp7mwcQRAEIU/8jTsAgFtZ5GEnCIIg7h0493QLCKLk480GjPoAroj+TjS9Z4YxVh/AKAAr1A7EGHuJMRbJGIu8cYNCu4iSQXRiBo4k3PR0MwjCCpq/EYR3kJ1XiD6f70H4hTRPN4UgSjSMeboFBHHv4M0GDLmuQDov/grA+5zzQrUDcc5Xcs6DOOdBNWvW1K2BBOFJHl4ahidWhHu6GQShCJPtxl3DvM1nMW5VhNvORxQ//j6RhJ1nrnu6GW7l/PVMXL6Zhflbznq6KQRBEAShC36eboAKiQAaiv5uACBZsk0QgHXMaPasAWA4Y6yAc/6Xe5pIEARBSJGG0P4TlYyCQgMe69jAZedcGRrvsmMTJYM31p0AACQsGOHhlriOLdFXkZlTgDGdjdMnioYiCIIgShrebMA4AqA5Y6wJgCQATwF4RrwB57yJ8H/G2I8A/iPjBUHoQ05+IVJu56JR9XKebgpRzHn9t+MA4FIDBkEQwCu/HAMAswFDoKRFt+84cx2lfBn6tazl6aYQhAWkgUEQrsdrU0g45wUApsJYXeQsgN8556cZY5MZY5M92zqCKPm8tf4E+izcg9wC1QwtgiAIp3juh8PoOHuH5u03HE1EQHAIblIZ1nuWF3+KxMQfjni6GcWGkcsO4MEv93q6GQ7xyNIwDF68z9PNsElJMxIShDfjtQYMAOCcb+act+CcN+OczzW9t4JzbiXayTmfyDn/0/2tdC9boq8iIDgEl9Lu2rVf+IU07I25Nwu1HIpPw5gV4Sgo1FZG8K31JxAQHOLiVrmOg3GputQh3xtjPEahwdqdkHgrC2sPXXL6HEQJh2Z0ulNQaMDVjGxPN0NX9sTcUDRGBASH4I11xy3e+8nU99g7Dt6LcC91B7/w4xFsPXXVZcdftOM8vtgW47LjFzdOXEnHhRvF83k5mZiB89fveLoZbuPL7TH4crv6vXv44k3sPndv6fkQhBivNmAQ1vx9wigDcib5tl37Pf39oWLrrUi8lYXY65kO7z9t/QkcTriJa7dzNG2/6XiSw+fyBp5ZFYEJaw679BxPf38IH/51Cpk5+S49D1E88c4lU8lg3uZz6D5/N9Lu5Lr8XFczsnHumn1jjSsQxj0pdJ/ZgZeVSNh1LgWT1x6ze7+k9Gws33vB5nZLdsVi6Z44R5pGlBCu3MxCQHAIDsXLV+A5GJeKLdGuM6I5yje74/DNbvV7d8x34Xj+x0g3tYggvA8yYBQz+D04Zev12R4MWhzq8P7CFfPxsglccSb9rtFwce/djcWXgkIDbrk55J6eOP0RIuluZbneeNh9/m4M/Wq/y89DEFp54ccj+GzrOU83gygGhJsMF38eTZT9/JlVEWbNGHv5OTwBAcEhuJtbYPWZq+fplNbrXgoNHFtPXdMczXY1IxvjV0fgNjn4XAoZMAjN3MktwOnkDE83w24Mpk7HG+wXkQk3ZVMyihuZpkF7X4zzqSrewJWbWbJh+Vl5BTiVVPzueTmCN0ajw+wdmlOpnMGbwtZPJWXITjKl7Dt/AwHBIW438tiNF/Rj3oKnLsXiHefR67PdLjl2XEqmZm2PE1fSbS5mvOdJ1IesvOK3eDt++RbyClzf7xYHOOc4knDT081wmu/3XwQApDoYCddt3i4s2RVr8d6Z5Nv4+4TtCOBnvne+XHhC6l2sO3zZ6ePcC6wMjcfktUfx2+EriLlmOxp8ya5Y7I9Nxb9R8pGDhD6QAYPQzPM/HsGIJWHFbgEurKU8HYFx+OJNPL4iHN+6Kay112e78e4fUS49x4kr6S49vivhnOOOaWHb+/M96D5/t/n90PM3YDBwvP7bCTz0TZhDlvQV+y5g2+lrurbZGf4xheEXeNnze/TSLcz574xLjp2VV4CHvgnDFA1etu/2GcPSz1z1fMqEN3BHZPS5k1uAyBKw6NCLr3fFIvGW/TokOfmFNg2IAxeFYtAi24KFl9LuYuSyA5j1j7ZnpzjbvcJiU91ieHUF8TfuYNS3B/Hpf6c93RSvYO2hS3hiRTi2e9HY6Amu3c7Boh3nLd4bvmS/udSzGkcv3XL6/KO+PYDgjdEAgPGrI/DEioNOH1MPLqXdxTt/RLnlec/Izsdrvx1HRrb6/C4pPQsAMH1TNIZ8pT0anBXrXtf7IQNGMSLldg62nfacaI8wgfUm76oWhPWapyMwBA9/iJtyLhNvZeMPhdBJvbDnVriTW4D4G/oLceUWFOL5H4/YrZPyw4EEtJm5Df9IrOT/nryKCWsOY23EJZy4Ypwo5ObbP5gu2HIOL/981O79XIaXjqWjlx/EqrCLLjn2WZMxYp8GUVtv6tairqQjLDbVo20Qe+cGL9qHx1eE25zoeZrLaVnIcENqjUBKpryu0p6YFARvOGn1fquPtuK5H21rUaVpiMBIN33P4hYVuWRXrF0C0AcvpGLc6ggrb7UnyCsw2K0Jk256Zk4l3buG0ZWhF7BqfzwAmIVEHTEAeiPicUOYY3rTWKKEkILIOcf+2FQcSXDeKKIH036Pwp9HE3HcDc6x1WEX8W9UMn44oD7/cPT39GTKf1zKHWw9VbKNhGTAKEZ8Fxpv/v//whM81g49MRg4DCKPcEGhQdFAEpeSabdwXeqdXHOIn7dYQ89pCEHTm2V74nDssmcHqAmrIzDgyyLP4n8nk7H+yGVM3xStuug4d+02MrLzzRV4svIKMPPvU3hkaRgAozdi97kUfPT3KQDq95CYrSYP0Ou/WVY4uJpunFiJJ1glQXtGuPvFl2bJrlicTFSfKPx44CL2xzqWKsRUrIY5+YWy5z6ZmI6cfH3CxB1Rrne0l3jm+0OYtt6290wLjy47gHGrnQ8T1ovkDONC3dvC4KVPZZ+FezB8ifs0O7rM3SX7/nM/HMG6I1dkP9uvk2FK+O5K96sQKWnv5PtIwk0EBIcgRaPotVZ+Dk/A/R9vxaId5/HhX6c073cj0zh+X0zLkv08IDgEf5rK6ro63e+Tf09j6Ff7kZSuffEtRH4WN8ePnszbfA5zQs665VyFpjnlM98fwnt/WhsRleCc2+X1lx/avGOOaQ963ZYGA9clOltunuJqSuKjOXDRPkxe60UONBdABoxiirAI3nb6mi4l9SLi08zeSnfSdf4udJqzAwBw624eAmdswff742W3HbgoFA9qCK0VSL2Ti67ziiaYro7A2HQ8EYfi0zBt/Qlcl5n8ebKTXLgtBo9969kQwWOXLRerU389jvc3ROPXiMtYvPO8wl7A0K/2Y8yKcHxpCrdMvJWN/4VfwslEy8kq58Yol8AZW/DbYfnFgxi52+H67Rxk5hSFzjsSeXEx9a4mj7+7yTUtPgVjzNWMbCzacR6PLD2gut+sf89g/Gr9q9q8++dJi3NfTL2LPyKv4JGlB/C+jPfa2zl4IQ0bXVTBaP7mszJhw453KHEpJbckoT2Ly+KMeUGsMLAJ0WMCcpsdik+zKjX644EEAEDERX1Thj76+zTuuki/4h1TquQfkfL9/oIt53TRXRCeQXuifMwLMqfPbh8GA8cFF0Q86kXqnVy8tf6EbsZqgeYzNmPQ4n04eEG+8ogSP4VfQuCMLYpRVZ7AYOD47fBllxqOnbkv0+7kmnUeen22G+0/2e50e4qiWIq/VcETTtNNxxPxS4T2CLfiDBkwijkv/3wUo3VYmD658hCGfe1+tfkbmbnmUDahzOmGo8qLgHQ7Jg5Dv9pvYRG2pYFx/nqmpvJscsSl3MFb66Pw1MpD2Hg8CTP/Vs93LSmTbL0iE2wNVjGi9BDprygeJC6mGsNT/4myvZCUO2PXebssSu8JYqW7zqbYPJ5A/y/24llJGdsV+y5oEn9yB8KlFjQ/XInaEyddYPX/Yi/eNXnMpMYpW4RrmKzGpWTi652xivearXt53eHLiDCp2ofFpqL9J9stdCJcyXeh8Ri93NjPOzslCjl5FQMX7XMoB90ZI7Az/aveRF1JR+uPtzoswCcmJTMH1zLcv+jRo+d9auUhq1Kjgui1pzWj9GTFvgt4YkW4botley6Np9IKVu6Px4Nf7nObCPXp5AxzNO3vR66g78I9stsJ/e+3ey9g0/Ek/HfSvpTagYv2qS7QDLwoTcUeBOOzvaktrvxZ/zqRhA82RuPbva7TTXPGUDDpp0i89ttxpN7JRXJGDu7kFuDPo4lOiYMK8zlHWtX/i7348K9o1W1e++04ZmxS30ZKcTKlvLU+CjM2aY9wK86QAaMEkOzg5GnjMWPYpb2TL1c/zHrNm6STU1uHHbw41KI825Wb8iGrckgnRlttLA60iAoWB/SalKmlGtiFi27OTCfKYXHOsWDLOXPKi9I2n289Z7eOh7ei5b7Qc0KvFsEjMHBRKBbvPI/rt9UXrYWc4+8TSTAYLEOKgzdG48mVh5B6JxcLt51DRna+W34vvT1RZ64aFzTuNqiNXHYAn209pxqmHRAcYi4T60qeWnkIWXmFmgxftugydxe6zZdPJXEHyj2nY77/IgOGaW/O8dnWc4hLce39MmHNYQQEh7j0HNJ0QSWkaYgpmTnYd/6GQ31W0YLMvcug46aUUek8Rqk/2XA0EVtM+lycc0xbfwIBwSGaqmIcv3wLI5aEYblJCPm9DSdxSSHlxx7k+oq4lDt2L9C0zC6EbXLzDZixKRrpWeo6NGrH1OuXvm3ST9FalcgRnGlrsskRV1BYdJR3/ogyi4M6gjMGv4upd7H2kLrx5N+oZPwSYZ+BRUtbAoJDMG/zWc3bE85DBoxiih7LvT8ijQKPWi30zJzLqcPJVXDV8e/mFZg7XMAYbqqW/9/7c3kPghyaFmyioSLXZPDIKzDgsg4DvSt5+3d9K5n8dTxJVz2Oab9b6w5oCd1zl38xwfT75qqEgd68m4dv917A099HICe/0C7jmb14y9iq9sy4+rfZEn0Vjy4Nk53Mrw67iDfWncCAL/cicMYWqyiLcauKtCnkDG+cc4xbFaFbiTql6+SJSdL209dxIM4xDQet3m97hMeU7pPen+9WFRzN1jlsXQtiseDUO7lYsks5GkiJtDu5VmV+xZWgdp1VFvmWXiulNCJpZsqNzFws33sB41bpn0YmJtSUdqcUnahHn7D9zHXsOFN0jW7n5FtpfaRk5iBwxhb8FF7k5X9iRbhFVJ2gy6EF4Toa3Cwf42uyQBVK7jHxn1duZpmfy7f/iMIrJsfKzbt55oiEDcdsGzCS043XUCooq+X+Vvpd/zuZjMAZW3RJg7FHzPzPo4n4JeIyvtxu2ygOOG9glks3diUGA8f8zUV6JO4cR1Iyc7B0t3q/ZzZg6DhTuXDjDv53MEHTtt/ujTMbOtcfuWxaH2lry8pQy/R38fRgx5nrDmuJEfKQAaOE829UsoVXI7/QgHmbz1pMgib9FGn+v57hhgHBIZj1j/2lw4Q0AL15auUh9FhQFDYvzcFXIiA4xKLDl0Ots72cloXTyRkWA4Xw/4//PoU+C/fYtPZ7ki06Kxm/uf6EQ3ocSoPeVVMEEYf3LM7F9P9ir+ZtDZxj6q/H0fvzPRbitnpSLHJLXWzBmPLrMUQlZsAg80wKkVuC4Un6bF5Mvat6n605kICwuFSnvFBiDJLfS7doJQeYvikaY00GnPxCA+aGnNG96oeS+KUcSr/DlZvZ5nQfR/aXciMzFwu2nHNKpE7s/X/3jygs2nEekTbKId66m4d5m8+aPdGd5uxEh9lGzSi5x/htUdlsIeVI6XFXql4ibP75thgEBIdgqCm1VLoQ1ottp69Z9Ek9F7g2tU1s5Om3cC+6zLOMnhEW4xuOFS16pdEEE9YcdvvC016EfkJ6ywp/cs7R+/M9mPqrejSoM+OF3OOi9WjCvON0snZtNj0M/8L3PZmUgTUuqo4lRrj+apFpaj3+XTvTGA9eSLMoCODOyKA3153AF9vPI1rLOkOmWfE37iAgOAQH7TSiP7r0AGZqXIt8vjXGbGx+f0M0HvpGOXLWHl78KdKsJRYWm+pUVC9hhAwYxYBCA8f41RHYIwmt1TKw/CwpV7bt9DWsDI3H7JAzsh2XlodV2C8jO99mDviPGq2eYvJcVP/ZmbJd34XKC4sKKP0U2XmF6LNwD0YssbyuwjUUFOnFwpH3IlrWZAWm2ZDStocv3tRdEExg3uZzLg9vFthpmmAfsrEAOxSfhrGrDtldL92eNZiztdjlQl9z8gsREByiqgOj1xJd7jiM2ed1ko+yUD7+cZnooh1nrmPS/yJltraN0sLxdk6BeRL0za5YfLk9RnY7MZujryJHozCtLUPJv1HJ+H7/RSzYqmzcTU7PdmgBJPcch8Wm2rVo1HNa/sHGaKzYdwHNpm/Gz+EJsttoCbUXyDKJWeYXGhAWm4rxqyNkDZazQ85gZWi8Qkqifd9Qq+FL+L3iTToCeoSvqz3rL/98VFUHwdlnVUpeoQH/RCWDcy773fxMkQvisHg55CL/BM4k38aobw8gWyRa6qp5jZgTV9LNkTVF1RykERjGvw/EGceX3eesU7YcNZIKxh8BqfHVHoQW2CNgaU/UrBKC7lXUlXR8+t8ZAEbDyGEFUdsJaw6j6QfGuYGty3bs8i2rUvJ3co33iNwcU4sWlL3XON/OUKBjl2/hye/CZX8He39eQcRXzRCspoEhCAv/fSLZ4v3oxAyrdM6E1Lt4ZGkYMrKK1ilKY+RtGWOCNNJNjPg5A+SeMcVdkZKZg3GrI/CaxnQ2QhkyYBQDUu/kYn9sqnlCARgHGLkFeVhsqmrnIHyWrzI4v69Qekpalq39J9vxgA6qwwAwZHEo3lxXNCHYH3tDdeJbUGhwOJTZUdTapNTS+z7eWrSNaKPz1++oetgNBo6A4BC8+FOkzcVeSUAu5aPtzG1YsKVIk0RLTu0n/57Rfk4POLLDbJRQFE+ot5+xDAf/+0SSRSWK1387jgNxaUi9Yz3QRibcRFaeglFM5rbbG5NiLJ2YmYNTSRkICA5B7PVMC2PHvvM3EBAcggs37th8PgUD3ZuSsqInrqSbQ8XV0CvKQK6F4mZHXExDiJ0icmLkmimXAvHiT5Fmw5S9WEZuFf0xevlBtJ1l7H+/3HEe3+y2LfQ25ZdjWK2DV/FkYrrZoKg0lsRez0SPBbvx8s/GUm7mFESN51gTdtHCaDhudYSVjoyg45StUt1CGCvk9C5OJ2doKs2dL1p8fqQg0PynHWHq4vtm8tqj2B+birsyz6sw5kfEO15BQ+rEsIUrAr8G2IhCUxNTXXfEmIoVZaPcs1Y2HkvC678dVxRm9jFHLlhfCMs0UOWF4JyQMzh+Od0iVVJY8NzJLcDRS479nn8eTVRNex257AAGmiq1KfWhwjcQyjTr+XuL05kA4/0rTpFNu5NrkZoDGMXbz8toCQntf0cUVTRyWVHELOccoefVxyF7EC7XDsm4K0SqjPkuHAHBIQiasxP/nUw2ty/xVrZ1lAs3juUBwSFmseQvTJXgBny5DwkyUcbJMnM8IY2HA4rfVevvF3s9U/YcUVfUjSTv/3kSERdvIiGtqM0FhQYs2h5jd/SHYGRYd/gKNh3X3l8CRo2WE6ZKdusjr1hci4eXhmHQ4lCL7ZfsjsXJxAzsEI270jHytCkS5AdT5SUxQqQbYG2QED9ncp8LyDs4jN+hJFcCcxdkwCgG+Pta/0wM1tbmPedSMG51BD7fes6pTn29QikyMb+bwnwLNPaeGdn5CAgOUSxzFnM906LSxPjVh/HN7ji88OMR2e2X7IrF2FURuoiwZeUVaCo7NH71YWwyDSivrD2KjrN3oNn0zfhg40kcvmi7HVkSr+KqMOWoDsHrKgymhy+mISUzx+GJj7P0W7gHj317AAHBIZpzCR0hJ7/QbC3PzC3Ain1yVQuYxfZirtwyTpYysvNx8IK1sSA9Kw9/HU9CQHCITc/i7zaeg/SsPKRn5WFvTAoyc/JxLSMHE39QzxMfJxNJBcgv6qQeuzfWnTCHhYv38RGNkgmpdxEQHILHV4RbGARzC4quk9zEXPhNoxMzzN7QQRJRWyEH/MEv92H86sNmIaxjl2/h3DVtYb4jlx3ASz/brk1ur/lCaXu5blB8LZ75PgKvmkJ4hU2lxrSzybctJuGMqYfdau0TAaM4rLg9coh/L7GOgiuIS7mDuJRMfLDxJGb/p2wMVEq9u52TbzYsXzaFc0sNcbc0pMsZOMf8LdaRHVIBVkGwTa304dI9cRi7KgJPf3/I6rPv9sWj05ydNtujxZ62PzYVf2kso2uupsWLfl+5BaewINxwLBGX0iwXPeJ7e2WocnUXqbfSFloMOlq5lpGD45dvqer/AOrP+5EEoxHAUVFIpYVCukgjRZw6u/uc5f2ar2PkxOz/zqDNzG0YvTxcUaOFc47tp6/JRr+980eUprRXPZHrQzOy8xWj88RGxyFfhaKPqBrJUyutn8GF22IwWLL4BCzHNQGxgWTjsSRMWHMYb64/oap3IyAIZQcEh+DW3TyLOXK7WdvMC0sp0nLCqXdyMfXX4zZTnQVD05oDRoOxuNqPnBaCWtWfTceN31XWa69xuBm0OBQ9Fuy2qgQljQhRQnwf/BOVjCW742yWRRbuZcFZJ0SerY+8grfWR8mmHwqaJ2NXRaDFjC2Yt/kstkRfxdt/RFmsTTap9LVXM7Q5/HbJRB/Jfw/1z8UR1AHBIUg2nV+4p9aKjMgvy8x/Fu8477II3zkq43hxhwwYxQCtzkhBC+C70Hh8v1895eHfqGQc0ujVOXb5Fp5aGW7x3nsbiqI0cvILMWZFuKp+hpCbuEbG0qnEoh3nFTuYC6bB49jlW2ZjigDnHN/bSPkQM31jtJX4jhJC1MuWU9dw824eCg0cvx2+gnmbz9nYE/joL0vlbPGE7KmVhywWMtKfnHPg4W/CMHp5OKSoCbcBsBATFE8Ajl66iT0aO/CEtCwcM3XG4kWtXgj3+PCv96PNzG2atgWMEyQxwkBz5uptPPN9BAoKDTgUn4bQ8zdwKD4ND3y6wxwVEG+j1JpSyd6jl25h47FEPPDpDjzw6Q5M/OEIXvvtOL7eFYu9MbajC27YqIIhkJyejTOm/F+per7BwM1CcuIcYXGYq/j9J78rmjjKpSSIF0/i66vmrRcmcI99exBDv9rvdLqJZXu0bXf00k3FSKZ/o5IxXaZc2uz/1PVspOee9FOkxSRcfPmcrfPedtZ22Um9GPHXS0rP1i29Ru6qDVy0DwMXheK3w9p1KP48mmhO7Zj881GMXRWBjKx8xd+wy9xdNiPKCg3crvDk7aeVU3RsPecAVKPhYq5l2oycEtCaMnnOVAHmmVUR5km93IJNICuv0Kw9Ise8zedkq7dEi0LQpWKIoeetv9PBC6mIUghbv5GZa3eKXrf5uzBKg97RLJnIuV8jLuPRpWEO6Y6IIx+UFrdiz76QOhsWm4ovTOKN565lYu2hS2g+Y4t5u/PXRWHjpn/vmgztcvdQSPRVnL1a1A+L+1Ol1Ihtp6/jpZ+P2kxbdRS558reCM/2n2y3iK7TqqOgliorDdm31c8J6QB/n0hG/y/22kzh2n7mOr41Ld47zN5hEQlyW6VdjureCNGjxxQMI1J8VToA4br9d/KqlYHxcIJxzM8vNGDZnjibBnFpKszFNPX+UU5UU4uRPiH1Lr4LjcdLPx/F2ohL5rmMmEk/HcFP4QkWqYEpIoHcvEIDVobGm8VlxajpaIh1dMTPuato/6llJLqQGr4+8gqmb4rGh39ZV80RP4df74p1WdtWuUHHxVN4tQGDMTaUMRbDGItjjAXLfD6WMXbS9DrIGGvviXa6Gi11sgct2mcxWd8cfQ3v/hGli9DU+3+etDB2SCcEy/bE4XDCTXO+oDtZuC0G7204iVNJGbh5Nw+nkjIQfiENc1VENzvO3mEhXBWfeldzzXt7JtW2hT+LvOxJ6dnYfz7VXKpOehrOi7yP+YUGi0HqBdPE/frtHFkrrlhMcOSyA+bUgtHLw/GcQoSLGmJvmjBhv3IzS9EjcSMz1+YgIkzs4k3HkNMRkMOWV47DaM7RgawAACAASURBVByasOaw1ULRkWnJ4h3nMXr5QUyTVGbZG3MDhU7IzMvdfXtjbmD4kv3IyS+08ryLJ4LP/XjE/JyLJxliD5PYcGXgXHEhwjlwUyYlRQ6pZ1JJq8ERz8L563fwwcZoK6+zQHZeIQ7EpWL08nA0nb7Zwku2bE8cHvxyr2KO6eWb1sfcHK09jSS3wIBTScbJWNrdXLz9e5RqCoMYuZLVgpcmIysfUZIQ7JhrmbgqWlxwDsSqhJ66snqNGkJUjbAwLzAYLIw7yenZFgsBuVBmMQau/nxKn5e5m89apejITZiV+GrneRyISzX3rbHXM82e+yFfhWqOqnHGW2/LGGZLw2m+jBH9YVHKjdQgKxapFDiaoN7vtvpoq83Q5+y8QqcFiF/+ORLTN0UrGlPUOHrppkQkWltbhn4VimclEXRyCw8p8zafxYIt57BNpFMiTCd+jbiMdxVScrvP34WZfxuP/9XO81i84zzyCgzmPs/WM/JLxCUEBIfYpREByBsbBonC4Z/XOCcQz0u1zovUDB3SFABbaYTJor705t08vLFOWZMEsK4co1XUUSvnrt0WzSO5uS+U+30sxaPVtb2kXJb08S+aRPjXHrqEhdtisHKfteGr3Sxlp9B3MtufTExHQHAIMrLzzUY78W/sq6Gx/b7YazbiXMvIwfAl+622OZJwCx//fVo2KsEWO85cR0BwiOyY6kj3o+aAdUbo9FeVkq1ZeQVuKWf+w4GSacTw83QDlGCM+QJYBmAQgEQARxhj/3DOxavkiwD6cs5vMcaGAVgJoKv7W+ta5BaGaRJrtXRSe+JKulU+IqB9oCk0cCSnZ+OTf09blZyTDshCXlnSrWxsPXUVQ9vUVTyuq2QHHvomDPWrlEVSejZ+mNhZddubd/MsBt+TiRloWqO8pvMIk1st2PKgSDs2oRrMlH7NUKdyGYvPxD9bv4V7zSFqYrROPFp/vA3vD20l+9np5Ay0rltJdfIg55EQ0pkSFoyw+mz+lrPYqKEUmxg1r50995BSFAXgmGdFzVL+e6S2nM4zV2/jUtpdnE6+jeFtlZ8VAS0iXZfSsvD3iSTczS16VjmMIf3ivGEA+D40Ht/vtxzQxNdUSwoZANm8ZfO5dUhL/u3wZZy7dhubpvS0eP92Tj7azdqOepJnRGDhNnUxS7mF4pRfjqFT46oA1PWBpEz8wfjMdWhURdP2Ry/dwoh28r/52NWHcCrptsUzJI0wskXvz/dg5fhOGHx/Hc37pGfl4fDFm3btIyXDlBYipGV9vSsWA1rVMn/eQ6ayxMNqgtFcWaR6i0Zj09e7YjHk/jqapp5LdscBMhoicv2ZGtKKCTn5hShTylfTvlIDYMrtHHRsVEXRgyv9XudTMlG5bCmb5xH6Hinrj1zGJQ0GsJd+jsTut/vJfpZfaMB9H2/FxB4BmPXI/TaPpcS20/JRhZP+F2m1gJNyVbKg0doXnbNzISHoEQkOHXHKn5ZzFhg4/hd+CbUrl8FXO43jynGRRlBUYjreXHcci8Y8AB8Z77zQz93NLYC/n7/V5/8qpJtxDqtU1CyRAXb3uRTME5fZtPEEJd7K0pSCC1ingImR6qB4rtaSJVIdJyWGfrUfqyYEAbBeQEtTS8XGk/PXM+0yfMo5CteEXTRHl0hTlQH1CBMpcSmZ5jSlYFGktUXkoeTH+dXG72/L3pGRnY+c/EKst6MClWDQDd4obyC0l4e+CcPJWYNlP1MTvp4hE+WphaT0bLT+2NKwdCAuFRXL+KFt/crosWA3XuzdFM/3aqJ6nJt38/D27yewaMwDqFreuh8AjMbt53qqH6c44s0RGF0AxHHO4znneQDWAXhUvAHn/CDnXHAZHALQwM1tdAvOKDk7yuz/zmBOyBnsPJti5flREuFLSs/G5LXGyIYnv7NOdZDyxjrHVHhjr2fitkxYqBAG6UgliniF6AGpJ+nbvResPAV68+3eC/hYIhQnnswnpWdbTZBir2faVW5MLg1k2+lrGLEkDBuOJSE7r9DKcKXEdpHn6bJMRISzYfZSbtlRtrHzXNv57e7mx4MJ6LtwL6b8ckzTxE86yMkx5rtwzNt8zsLAwjmw6ViSVQi91HjhKOlZ+egrSq3Iyi3Eh39F2y3sZQvOudnYZDBwc6hxsoznRQsxCoYXYUEiDvnWipoxR4xaXy5EddhrWJNuv19juoPAA5/uwEs/H5U1eKtiMaG1fMZ/Cr+kGtXGoB4CzFWWTa/8ckxVyFDM8CX7FRdyWnC2AkekjYgGMf9ItCq6zNuFzgHVZLcdvHif1RjAubaF8+DFoZgiCcmOvZ6J9zdE2yVEKkWcbmHPQsQebAnhHr10SxfjqT0I59MaxSnl861FBlfx3OpU0m38dSLZrNUhjvISe20jL92yMvaJNYmyZKLDbmSq39fi+0A49N3cAtmopl6f7dGcjmwL8bNqd39kA0dvC2nkhhpKt4BaaqmBG6N4tEYtyW336X9nLAxACal3MW/zWZxKysDXO7WnJ2Rk52PgoqL5rXhs4eDgnMNg4FYGmiUaBKRtsWjHeYeiYpSura3IBjnh4I0K/V+ojGaJwC8qERb2MnZVBB5ZegBHL93C1YwcfPrfGXDOVbXvpv1+AntibuDdP5WjnPMKDS6r0OdJvNmAUR+AeBRMNL2nxAsAtsh9wBh7iTEWyRiLvHHDdo66t6HngKw1pcSR8qdipMJHAuKvYq+4mMCgxaGqk3Q95y9Np2/W8WiOY+s7OWtUyS80mMP4vtweYyE6ZAtxhFCfhXssvAk3MnOx/YxcCUDHEQtZFndmbDKGENsSuXOEnIJCzRMCwYsoVWBX49y1TIsUntVhF7H20GWs2n9R1z7rpZ+PopnpOWz18Vb0XbhXv4PrhFRZXyDxlqVBT8mAIU6VaabS58hFl0i3j03RZkyRNuWqnXnw4rQKuXm7VHPB4tw2jm3r/nFFpQw5+tuoniGHuPqP8HuLqwep7bddUi5VafF0/vod/HfSevzUImYo19c40v8UGjjWH7ls1r4Rp1t4wukCGI1i8iVnXYdganPUgGELoVSyWJhwyFeh5ujCF3+KxLTfo/CFqG8Qe4w/2BhtYfDj3LEKXJPXHsXwJfvtTlmxB3Han5JTyWHccE8KKYC2ooSk/HAgAf9TGEOknNLgqHrxp0isDI3HQ9+EYfHO85rbMWaFpeNR2s+OWBKGptM3uyQ6Jl2DuLM92HLoyaVoKYmSltUYRacXYqPjuiNXMHp5OH6NuGyV6hqXcsdswNl5NkXWgSiwVAcjk7fhzQYMuWdEtgdijPWH0YDxvtznnPOVnPMgznlQzZo1dWyie9BzMjB/i/4CjFoQJmZ6Cv3dSyhpAehBUnq2RR7h1YwcuyYP0pDdfqIF5oQ1h1WFuwhjSodciL0qGmYQaukzUnIKitTBHUVQWS/k3KqCijOIjSqunDy7gtd+O465IdYhvw9/E4afwhPMf+tplDkUf1Oz6KSYr+zw1AHAAVGVn/jUu2b9HgF7ShpLuXQzy+2edDm0GASkiCOmhK+g1egqrdCzUUVpX8lo5g7S7uSi2fTNeH9DtOzCK7fAgDcdjLB0FrVJvN5k5uRjc7RxbiM2CuhpyxAqdKhp32w6nmRR5UJaeUBcuWTDsUSk2KGNJmj0CNFEBU5oPXkSDtcvRIVIBFeWyLQVoZdXYFC9V9SQRieK1x6cG9NfHWHZHuUqSYDRCWZL40dvlCriyOHn67mEJsFoMX1TNKb8cswcOTJkcahFKVdAfbwS9w8lBa/VwIAx4qKh6O8GAKxcDoyxdgBWARjGOXe+pqYX4ilvhqM8stQ6t1no2GNT7mDHmetm4SFXUNyulxZsDQDO0FNm8ZxrR7iZNFonKT0bfT7fg9D3+svWO1dCLqTvXkBNcNZdCOkLerBER0VtcWk7V5UZcyXHL6dbfAeha4pOylBNoXCWcasj8OGI++zaRym1RokQibj0rxHajV/SigNSXllrv6ibN2LPWDQnxPX9gFK52YfU9EgkxN+4a1FK+9bdPOyTSSv9y8EIS2eRJh+5cjbQdlZR9QGxTIWeU5DcAgMOX7ypWtZYSqRKxI8WYVIxQiqpUCXDHo0gRzAYuKzmh7MwAOVL+2lOjS2uqFUOs5fdoip1Yo2Yt11Q2ePgBfcu3+RSq7yFCWuKNFOk0eZBc3biyyfay47XtgynmTn5qFjGtk5SccGbIzCOAGjOGGvCGPMH8BSAf8QbMMYaAdgIYDznXHucVDGjuAUtnJQoh0uNFcv3utYSOPVXz3h+ShLOTlEu38zCs2sO2zVZCJrjfXoV3khKZo7TKv+EZwh34yRNy4JYbuHpKPYotUsjDaRIo7qKK0pCpJ6iy9xduhxHnPMelZiOZ9ccVtnaveituaQVIQ3nclqW7ouxMd+Fu91DLeWOSdvoPZVcez2ISkx3yXPDce86SfTAHeVIixsbZSo5uQMlA9JXNtKFVrqoNLOn8NoIDM55AWNsKoBtAHwBrOGcn2aMTTZ9vgLAxwCqA/jWJCJWwDkP8lSbXYUr0wfUUFICtxdpXr3WutiE59BjAqHn4ogoosvcXXhIoZIF4d2sj7yCzx5v5+lmADAaHN6lSalLuZaRq1ngtbhir2isq5EKrz6xwraguB68se4EmteqKBuBWtzZE1PkiRfPC10RFadWgcwZpMLoBKGVKzfljYfTfveu8XPn2RTVz3XXlfEwXmvAAADO+WYAmyXvrRD9fxKASe5ul7txd2gVQXiX35CQ8t9JbaUkCUKJ8AtpSLFDYd8WelefKQlMd7DEHuE4SXaK0erJ8CX7PXZuV/LcD9pKtBME4b3keHHajCN4cwoJQRAEQRAuQKlSlKP8HumZcFqCIAiCINQpKGGpx2TAIAjCii2n3FuKjiDuFYqjGClBEARBEMWX/OImqGgDMmAQBGFFcStXSRAEQRAEQRCENSVNjoAMGARBEARBEARBEARBeD1kwCAIgiAIgiAIgiAIwushAwZBEARBEARBEARBEF4PGTAIgiAIgiAIgiAIgvB6yIBBEARBEARBEARBEITXQwYMgiAIgiAIgiAIgiC8HjJgEARBEARBEARBEATh9ZABgyAIgiAIgiAIgiAIr4cMGARBEARBEARBEARBeD1kwCgG+PowTzeBIAiCIAiCIAiCKGZ0bFTF003QFTJgFAM4555uAkEQBEEQBEEQBFHMqFulrKeboCtkwCgGGMh+QRAEQRAEQRAEQdhLCVtLerUBgzE2lDEWwxiLY4wFy3zOGGNLTJ+fZIx19EQ7CYIgCIIgCIIgCMLbKOvv6+km6IrXGjAYY74AlgEYBqA1gKcZY60lmw0D0Nz0egnAcrc2kiAIgiBKGA2qlqxQU4IgCIK4l/niifaeboKueK0BA0AXAHGc83jOeR6AdQAelWzzKICfuJFDAKowxuq6u6EEQRAEUVIoV8I8NQRBEARBlBy82YBRH8AV0d+Jpvfs3QaMsZcYY5GMscgbN27o3lCieNCuQWVPN8Ehjn440NNNIO5hejev4ekmEG6GgSpfEQThHVQuW8rTTSCIYs2fk7t7ugm6480GDLkZlFSCRMs24Jyv5JwHcc6DatasqUvj3MmGV3p4ugklgp+f7+rpJjhEKT9vfkyBvi2K3zNFaGdMUEOLvxtVK+ehlhDughUT+8XqZ4M83YQSw4pxnTzdBKIE08eJecLHD0mzx0smk3o18XQTiBLInnf6ISigmqeboTvevDJKBCCeOTcAkOzANsWeTo2reroJJYLK5Yqs+MUpRNrb1xIrJzg/8Z3QvbEOLSFcgZ8PQ4vaFcx/f/Lo/boev21910RGDW9bxyXHvRcoX9rP003QRM9Aig7Si6Ftitfz0q2pd0zIf3ius6eboCvn5wzDhld6YP1L3XQ7Zv+WNfHT810c3t/P19tnQdqoX6Us/FUcUh96yFDzAhlO0KxmeU83wcyYoAa6Hat38xpoUsN7vpueeLMB4wiA5oyxJowxfwBPAfhHss0/ACaYqpF0A5DBOb/q7oYWJ/x8tA0E5d24wA95vZfbzgUAtSuVxpY3emPJ0x3M7539dCgtoh2ktJ+v3V75Aa1qYd6othjcujaWj+2ITx9tY7VN3cpl9GpisefxTvoNaPbi68Pwz9SiZ7R70+p27WuLNwc2d6hdtmAyYQQ0UdPGI+3rObzvcz0D9GsI4RYe62CVeWumaxPthoKvn3pAj+ZoYny3ALedS43+LWuhVZ2KLjt+3cpl0NS0APlzcneM72Z7nlLagajN8v6+WDGuI/z9fNCpcVV0taOflzJ3VBsLA5Oz3l8t44i7+NEJg1WhgaNzgLpD8t0hLVU/P/bRIIfPL2Xxk+2x/73+bneSzRvV1s1ntI14PSDwVOeGMlu6nl7N9YtqrlBMnBGO4LUGDM55AYCpALYBOAvgd875acbYZMbYZNNmmwHEA4gD8D2AKR5pbDHiqMbOb95jjnUwdSrZv+i8v577tCn+mdoTIa/3RuPq5S0m6WX9fVFo8I4iyVP6NbP4Wzp4ezK8O2HBCNn3n7Szo18zsTOe6doIKycEYVhbo+7u36/2tNhGr7zXPyZ3x6v9jde0uFqiuQdvzQcaVkGZUkUGTfH/beErc7MeCB5g8XdDF6WkMBjbLubDEfe55FyepEYFf6v3tr7Z2+HjtalfyakItUfa18PTXRyf+IV/MEDxs6n9Ax0+rp4807WRp5ugL6bHVPjd5pvG/0pl/LD+5e6axxyp0XBijwC9WihzLpcd2m6mDlC/Lx92wiDIOTDFdN/fV7cSZo+0NvYLCPOvndP62n2e058OxdA2lhr4NSuWtvs4ADC2a2M0qVHB9oYa8fGiH/u+upUc3ve1BwNhMKhvY2veo6ctZ1SHBmhYrZx13r2LKeWFETWtZX5XPaPf1Z5bMb4+DMPb1FGca9uLFz06uuO1BgwA4Jxv5py34Jw345zPNb23gnO+wvR/zjl/1fR5W855pGdb7HqkXumA6vZN/rUuCiuWsd9ql7BgBEZ1VPbkOMNsjWHrk/s2U/28XYMqqFFBflA2yKwSx3ZthGe7N8b04a00nV8P3hvaCs1rFQ3+5fz9MGdkG3zyiPEa1K/ifInDUR3quzXKRgvtJYtNR1k5viilJWHBCHQOqIZ3h7TC0Q8HIuT1Xpg9so1T4ax68HSXRpq8du8NbYn/XtMWodQ5oCreG6ruvQGAenZGttRywCgpIOc5E9+/A1rVQovaznkvPxstb2xljOExSX8kF5WhB81rVcBLfZo6fZzx3Rrb/XzLpVG0qlM0GbNXvPjTR9tgVIf6eGdwC9nP1URd541qiw6NqmLqgOaoXak0XnbgmpQrpTz2dJVJG/hgmO2+WanPd4SEBSMwV+NkVI5NU7xX02r+Y+2QsGAEhksWsloNqNKna+bDxUO74OSswYqf/fZiN6yaoK61ElhLebHeoGpZfCPj3bWHxzs1QMKCETZTu/a/3x/hHwzQzSjsjFNnct+iZ9/gwHHEnmNp5PDcUY4/f57gwxH3IWHBCIzt2hjchrlA+FSctvnO4BZoXbcSdrzVB1XKWRusAWDDK46LNMrNfV2Jo+OwKxfjzs4NZj7cGlEzi/qRZ7o2cki7ZdqgFvDz9eqluddAV6mYsWZiZwy8r7b5711v98PysR3t8izveaefU2FwnqC5xkXOw+0dr6JbW7RQayk63yePtsFLfdQNI2JeE3ljHAnlBIDnelqGuo/r1hgTujfGinGdLI7vKIuffMDC2PP54+1s7tOwmvLCSvw9+7aoib3v9MPTXSy9lFVMGiQD76ulqY1iT789Hs/B9xtzuaULyuoVSqOcvx/Gd2usKCjWpr7j3hV7DAPzH2tr0zu5551+mNIvEG3qV7Y56QGAquX8MaWf+r1xZMZAszfPVdoTYpRSX74d2xGfjW5rFg4c64BHe3y3xvjr1Z54srPyvlrCrfVgw5QeVtezU+OqaCrKq33jQflUGbGXc/bINgh7vz+OzBioWfTusY6W1zhashj7yM5JVMdGVeHn64OpA5pjx1t9sO3NPubPVozriJ+e72IVJfHrpK7Y/15/83Nav0pZREwfiA+G2x/xUsbfvj5TMJKpGX46NtLHOCrgzGRXyZgiGIzk2ur2SlSmr+esFoo912mBjajP058Msfi7QVXnDfmAMVqpUplSOPTBg7Kfd29WHdVlopzEtKpTCf1ayj+v3ZxIxQCsxzE1Svn6oG5l+65L1MzBiPpY3oBTUKgcLmAr2rZx9fLmuYqt0WvkA9YRKlXLFznbBrSynDNoTYV2RQUtR9b6k3oX/YZa9xen3VQo7YfNb/RWnQc7Y4MY1sZ63uyIE9MViJ+r/e/1x+8v22eo2f9ef72bJMvEHgEWDuJ5o9ri+V5NzGOi1p6Q2/ghP3qoNX6Z1BWfjW6rKbKrJFcUIwNGMSOgennME1mffX0YhrWti1oaQv2E0LcmNcqjX0v1RaTDFlLTv6M7NpAV2Zr1cGv8MFG78WT3232x+fXeTk8CtFCpTFHnI4TSyl0GpaiXCd0b49zsoXh7cJEXPGbOMCt9iF9ftF0NRW7BzhjD0DZ14Ocj/9iuGNcJ/7MRWTC2ayPZHPXq5dUnaABQxk85YmOcaKH4Yu+mCKhR3hyGDBg793+n9sKTQQ2xXEXtfv5jbdEloBreGdwCy8d1NL8vlzMphCGKDQGHZxgnoQkLRmC6A4un9S91R9j79g94CQtG4OAHDyJiuvwk2B6GtzWGD4qNkkGNjc/SiLbKBjotecI1K5bGmKCGmNKvGdZpEGlzNIQyYcEIJCwYgfeHtZKNNBneti6e7NzILGhWpZx8ZFiZUj7YOa2PORWkV2CRINXEngHm9+XCLWtWKA3GGFaI7iNXUalMKTzcvh52vFW02N/wSg/sfruf+e/+reT73CMzBmLVhCCsmWj08jLGULNiac3TjvpVLBcSFctYXsvOAdUc1qVoXrsiWpp+vzKlfDC0TV0wxlC3clmLa94jsIbDXt+qkt9ePOGS9p1qc7uhCmG3O6f1xesKxiMlGov6+E8euR/73+uPaYNaYEQ75yf6ct7OhAUjMNKkQ9GjmfWiS6shoUYFf5s59FqoXLYUpg9vhd9eVO8jpM+WM05MW5Nx8TXw9/VBuwbOGaWEtgrRSnUql7HwegPqmh4jH6hnMVb8+FwXWaOwmr5I7Uq2523Pq+j2REx/UPG6HQweYO5T1Cjt52MhcC5m4RPtFfcr6++L+HnDsXNaX0UNLOF2EG55pTHn/nqVrYwo4n7Az9cHr4hSa30V5kBiqpX3V4zuW6jBYaPGFyrXxRZyz7celPX3xYpxnWw6ox6VMRZ1aVIND0n6tn+n6qdNt+vtvtj6Zm+zoapfy5pWhtr5CgZMcZfSoGo5dLFDkwdwPkX1xd5NbDrQxnVrpLhmkhuz1NZrI1X6i01TeuCFXk3QM7AGnuzcCN883QFRMwerR9+UXPsFGTCKG4zJh3Sr5QgKAlBqlj3ppMfZe75pzfIoJQqDWjGuI45+OBATezZRDbcELK3mTWtWQOt69nnFX+ztmFCfOGLAR2UxqDSo9wqsIasPECqyAI9oW9dlA9jQNnWsSpo+07WRRaTF3FFtMfNh63QcLd5eYSCQu9XKlPI1izvKfT7rkfvRsFo5fPZ4O4v7QsrTXRrh98ndMXVAc1VPUueAqnh/qDF0XE+Br/Kl/dCgqvYB78fnOuMPUX3t2pJnU6rBIEbpafx2rLWB5+kuDbH/vf5Y+kwHRY+CXLTPf6/1skpB8ffzwXtDW2laFEkn9AKCwevXF7taCF39/nJ3bBct4iuU9sOWN3rjqycfwImPByFSoye5ctlSmNKvGTa+0hOBtSqa76m3BjW3mhRL2fJGb9SpVAYfmNK+HjRFrAleO3H79EbNQya+F1rWrmjx98DWtTGgVW253WwSWEv5nILRWq3P1ZLnvvaFrtglMsYIqHlvtVC3chnV51fal8j95MJ9IGwqXUzZGm/kCKxZwdyfVSlXCg2rlcPrDzbHsmeKFuxCJKS9BgOlaPoGVcvhQPAAvDWoBTa80gM7pxXdp+I+86nODXHogwdlc+H3vtsfr/YPtDsdT85L91KfZggwzR02vNIdbw+yTCla+0JXK80EWzwZpKyNYo/xQ/qbdmlSTXOaqUDUzME48bGlJpj0OggGXLmfrJzMWPHva72sIkm6N7N0voidBRHTB8pGzy4ao22BXLtSGXOUm9QYUq9KWZT3t+zj5dLJ1J6/IffXQYvaFVBNxsHBOYePD0NgrQoIUjB0C4s6wWin5Ih6vlcTVC5XCu8OaYkvTfMradShuJVaIuzFxqVJvZpg19tFuiBqDjo5x5tU9+LxTg1wIHiAouFdjLTqyGsDAi0M3VLkWqa0qBV+87FdG+H+epUxtE0d9BEJQMqVRlYSVF005gGLKKQAJ/TCvn7qAYsomWY1K6BVnUr46qkOSFgwAjUqlMaqZztbpPsOb1vXob5aC7acUkI/8PMLXSyMlr4+DDNGtLYpOip2Ku5+u69slIj4lvtnai+8/mBzTJP0qX9M7q46/+zQyPo5q1y2lOpcuQTbL8iAUdxQ6neV3k9YMMLs8VbKZ1w1IchqkJV28B3sDMGVGksqlimF6hrykBMWjMDPL9iOUBAvGsUwGDscrQI4YrG6sqL/CzmbciKESqq+4oHhYPAAHBZ548/PGYbnezbRNXezRgV/m56E++pURLBCjrjwC03tH4hSvj6Y9XBr1VQkWx2hMOHQM0/x+wlBsurQf0zugUqmcL0qTop9OqogP/Ph1ujXshY6qyisq6UQ2ZP2xRhDw2rlzP+KqVDaDy/0amI2TPUMLHqW29SvjDYuSBVpZppoBFQvjwWji+7Bjo2qWHm9GGMY2aE+qpTz16RF8OUT7RE1czDeG9rKbLwU+i4/Hx/RjWjZxywf2xHLx3bEfXUr4dD0BxUNZbUrura6EtDXiQAAIABJREFUzZqJQfjqSXnP7ZD7jYve1x9sjrWTuqqK7Wl5jtTu3V1v98X6l40eT7XIBbXJtECv5jVkUzQqly2l6L3VgtGYqy5SLI5wkKtMpEe/83SXhhjWpo45GmRK/2bmEHalBd6r/ZuhlC+TDb8W075hFcwQRYOJIzC2v9XHIh2nfpWy8PVh6NS4qoVhyteH4VPTAt3Pl6FO5TKI/NBakFsYmxqa0iv6y6Q1yBlcbF27To2r4bUHm1s8v71kwvNthSvbUw7TX2WVKtVC6d+yFsZ3D9B8bMAYNSXVE1C6DmrRh1Lqi1JbxgQ1sJpLHZ5hNOIKKZk/TOxslRYqTQtTo2+Lmtj6Zm/se9d6kZZfaPng//1qT/Oc4eW+TbHjrT6qDgUA2P5WXxz7aJCqZ3/eY21lhYOFr24ru0F4xl7tH2g1nsr1cRVKl8KaiUFY/KS8oadjoyooJzLe1KlcBs1qFi2OC1WUNH+ZZB0l4utT5DUXvlP9KmXNumRipKlN5+cMs/jbx4dpTokuU8r42yiVXhWet1dlxI1rVyptVyU3fz8f1FHY3t5IzEcfqG/zN69W3t+c7itgK4LYXgSjpnTs6t+yJuaMbIP1L3XDnJFtzP1A7+Y10V4U2fVQO23iu+IxomnNChZRIuO7NYafD7NIg/JhRq2LlqJ7W9Brk2Ph4+1UddvE55eOV2pOtOIOGTCKCe1NlnPxoC4OHVSbgAh5WfcrRDIMbF0brepURIOqZc3Hlx5u05Se1jvKYK+BRY1KktBcsZVfOkj8MqkrGlYra5FzroXwYOuw/34ta6JAMGDIhCrKLTyb1Chv4aWoV6WsRaSMv58PPn64tdWESaj3LOcx+3DEfVYRFWJ6N6+JJ1Q8WgBUL/xjHeujRgV/jDEdY2LPJtjzTj+VQxmPJWfUAYpCcauX108wb1Dr2oolHR/v2ABzR7XByzaEW5U4MmMg/nutF/58pQeekGg1aPGsOJpzKuR0dmta3WpglcsFVqOUL8OB4AH46KHWqGq6/1ZN6IwfJnbWZTKg9B2Xj+2IxU+2Rz1J+/VQi5eLDhba4eujvEQa1rauuaKNXJs6yngvxOx7t5+F0VGMPWr8A1rVVg0DNbbJuNh01OM0oXtjfPN0B9VJTbOaFcxpceKfUapLoiQK5w7mPdZGVVWfoSiC8LEO9R0WfLUlRjj/sXZYPq4Tjn88GAkLRqBT42oio5l8Azs0qorYucNl742omYMR/sEAzH+sLX57sSsmilJ4xMb9WhVLa9YskEYeVSvvb7Migty3llvsTNIYtSj2YguIDaZyj/+g1kWRReL+Yf1L3RSFYgFgydMPmL3xUqTpgYIRS1jwyaElzVaJ1vUqoZdELFfpthUvGKTpXICxD1v2TEf88bJRzDWgRnmLtFNHaFWnkmz0Z2NJuitjDE8ENcTOaX3w/pBWmhfSAMzzBPGxBMqU8rUQDjZvI1wlBwfLhAUjsNWkwfNU50aoWMYPr/ZvhoH31cKAVrUxqoO1oadhtbIIHia5P0yn7xlYHbNHtlGNdpP7XR/XaFB6rmcA9ormUC/31a5fIjhqxFdKq36B3HOnpy6nEO0qR+Pq5WQNLEL/Ka06poQPc94ZxZjl2kCYH0uNiF2aVMe4bo3RtWl1i/RnwPg87pzWFxfmDVc0HElRK6bQul4lxM0bjrqVy2LVhCA0r1UU0dStibbU+CeCGqpGSYv71Y2vWIpEl+TS8WTAKCb89HxXhLzey/wgxs4dhq9FXj7xDSzVWKhTuQw2Telh4SmVUs7fD2HvDzBbDhkzGgWcQTwxlitRpMb2t/pgt2QxLfYcSTv2noE1sP+9AbKD+P+e76KoBly5XCmLsP/YucOw5tnO5rBzaRUDwDhYX5w/HOfnDDNPzu6r69jE+vPH2yNu7jCrTgcwCj85uwhtbPLWP9axvpUVvUHVcoj8cBAaqXS+fj7MvOAWbrG/Xu2Jqf0D0bVJNQvjwvTh92HDK90trMquxMeHYWzXxpoHGSk1K5ZGm/qVUaG0Hz4b3Q6xc4s8Jbum9bVINfhsdFurEGWl+UGvwBrmAUo6sRDuL4HmohSNDa90x2d25uYenj7QqrJQWX9f9G9Vy8L4Ff7BAFXjlNBurVSvUFp28ugqlfBvnu6AiT0CLPoRrRM0Xx+G/17rhdWmfHBhsVOpjB9i5gxFRZPXuko5fwujoziEX0lkdMj9tVWNjIBx0ScYRuwR1GqnEDmTsGAEPn20DR5uX88qnTDkdYW8ZdHFkouCkQokuhJx2dfSfr6q90y18v7mBeEbA611LGQn7qbf94/J3c0L7jb1K9st6FqoYsSWsmJcJ4scbiGs9+kujVDO3w+lfH3M6RMVSutTHhowagrIRVnYo2HVpEZ52cWnHHJVzGw9h9+LKng8EVTUZ5Qv7Yc6JuPNwPtqWT0b3ZpWx+hODfDVkw9YRTRJowaENpyaNQTrFXQWSouMG3LjOlAktCv3PcVtB6BoTBMbLZSuzYh2dRW93T2a6af3pZT/H1iromqarBZsiQ0CRSU/pfZDpZQTNRpVL4foWUPw7pBWqvf3/vdE81jJZ79M6obx3RqjZsXSiuKo0kOfmz0Uz4p0tsRfW3oJZj58v0UFiQ+GadfhkjpqGIoM5/aMGzYffRu/24V5wxE3d5jqNj+IigDse7c/usroUnw44j5UKuNns6pWWdOc3YcxlC/th/NzhlmtPaYPb2Uep9V4rkcThL1fZDBR+qqD71dP1wysVcGu1OTRCmLlUga2ro0d0/qa7xFnohfFCG2tIlnPBFQv57LKa96Ad8jMEjapXK4UKpcrmtBKB3DxTSrX2cnlTv31ak9kZOdbvGcOxwWTLc8HGFWxV4bGy342qkMDLN97AQ+1q4cJFfzRqVEVPNsjwO6HSG5y0FWSP7n77b4Y8OU+xWMcCB6AUr4MtSqWsbnIEBCua5Ma5VXTUBhj8PczLu53nLmuuTytwCPt65k9e/aWTBJCqqtq8JwKVttFY5TFyJQYeF9trHo2CHEpd7A3Zp85BE4pLcHfzwedGtsnsOQt+Pgw+Iiem+oVSqN6hdL4c3J35BUY0COwBnaeuW6xj9IEbu2krjh4IRXPfB9h9Zn0uRUbHh25dlU1iK8C0OTllRuwxY/t6I4NkFtQKLvvZ6PbYtGO8w4Pll2aVMeyPRcUPw+oUR6zTOG6wjnscTDJ3a+MMZT287Wa5a4Y1wlNapRHYK2KGPlAPfx1Ihm9m9dARPxNhMenmbfz9/XBd+Nti+SJQ5eFagblNEzG3hjYAoNa18Ho5QcBAHkqFQEE7q8nb/TgFv/neKJTA/xxNNH8nqNGQHtpULUsvp8QhGFf7ze/pxa18934IFQpVwpPBDVE4+rWkW++jJmjTKSRJLUqljbv4+vDMHtkG/x86JLmthZF4dnedmgbYyj0BxujFbf5dOT9eLZHgOLC1REqly2FH57rgoDgEN2OaS9TBwTi4IU01W02vNIdOfkGK+FNoQ+tJBo/S/v5IEYUdm8rmgkoSnH18/WxWpi3rlsJZ67etnhPySA5rG1dJCwYgR7zd1nNjcT8/WpPTeWJtVSPEnipT1OcSb6NtU46jqT8/nJ3jPkuXNdjAtrKaxelkBRdh53T+qBO5bLo/8Ve3MjMVdxXjwiCbk2rY1XYRdkI1zFBDbA67CKqlC2FtLt5ojZb3j+CU0zNWKonD7aqhZnMqF82pX8gwi+kWaQ3A8Y0xVoVy+CF/x3R/fzGeYD6ON5AYpTIK7Aemyb1bmpRfUUJ4RoK44B0LGKM4aU+zTRVAhzT2dKQIDen0Zpebg/ORJ7Wr1IWU/o7FkUsIERFSyMNpZFIJQ0yYJQQHDGmy+VGtaxdCQfi0mRFmwT6tayJlaHxeKxjfXAObDqeZP4ssFYFxM8v6iAmSsqBAsYHdkxQA/wemWj1mT00rVkBL/Vpqlgqy5blVw+EjkslpVIWOV0HrQxqXRvzRrVV9CIJlLIj31gOQWE+sFYFnJw1WJMFvKQh1jXp3aIGHmpXFw2qlsOKfRdU7y+hDO/EHgEIalwNS/fE4cyn1l7uF3s3xe5zKXaVYHUl52YPRauPtpr/Fk8iv1QRlnuycyPVcqa26NuiJvq3rIk9MTdseptsiXjawiz6KD2N6X1hMQoYy5p2b1YdHRtVxbKxHdFx9g4AwMlZg1Vz9JX4cERrtKlfGX00lPfz9WFo26AyTprKoop/F3uRXquFT7THE0ENzSH3rvTRbH+rD44k3MSMTacAFIXym6OUTNvNfLg1nhLdQ34+zOyBlDNAnfpkCPx8ffBEUEMUGDieNInJTu0fiPc3RNuV9iNHi9oVsTfmBmrppJlS2s/XSpDa1j08bVCLImO+A5PkzgHVsDfmhvnvtTL6Us7+9j2a1cDB4AGYt/msRZ63WKBOyTgrGFYDa1XQ9PVmDL8PNSoWzU3C3u+P8AtpFsLYate0XuUySM7IsZl6Y8sQq1UkVdyWnoHVcSdX3gAMWKfF6IWWSAl7Wfxke/RtYbscutnYLGqCmuiw3gxsXRtRMwfLOpgCa1XEhXnD8eiyAxYGDHsQe7vbazBoaaFelbIWc2i5UuTSFBi5MZPDmDY+qkN9izk6AGycYh3xq8SbA5s7PZdUw6A0Hquw++2+uJSWhed+tDTgSCPJ3GWYdybIQWuKjRpCkKDBwM1tqVWxtMVcpiRy761ISiiTejW1mKg4SvCwVhjeto5q5Y8ezWpg/UvdEBRQDb4+zKpztIWPD8Pnj7fH75GJDhlegCKrrasGfTlGd2yA+NQ7Fu8Jlk+50niugjFmUdZpUq8m2Hn2uvV2Dk5NN7zSHTcy8ywiQyrJ5PJ6Crk85xoV/JF6J8+lNa9L+/li6TMdwTlH3xY1ZdXKBapXKG229A9tUxfvKFQqELQ2KtkZwfNi7ybYeTbFrn3keHdISyzcFgPAOAhLU7DUBEr1Rus1cDYiUnhSmeRfOW9axTKlzIaZauX94e/rg7xCA0r7+RijN+ykrL+vRbUjLcilxdmL3CJGLDSmh3aJEi1qVzSLIMqdRljkDGpdG2X9fc1eJGlZP4FRHerjUtpds2Clrw+zyGN21pgm8O6QlhjUurZLRHAFbF13cfnXfqZoOpu6Ryi6pxtUNZa7FSI02jV0/rs8+kA9JN3KtnivXpWyWPqMZUlVJceCmF7NjXMJoZ/xYcCHCume/2fvvsOjqLowgL83jdB7UVroRZFelSZFioq9d/0Ue9eIgB2wISIqIvZeKQrSe++hlwChBQgtBdKT+/2xO5vZ2Zndme1J3t/z5CFsttzdnXLn3HPPBYD/adL+61Uth5s7aZfa1T8XCwj8+nA3LN2b4lTg0Sxv6tWo+wV6xSG9ZbQSlZ4y9uOHuhaJt+7t3hCrD5zRnT4I2FZxUA8CK5u3XgkaZRu1OrVLT+Ma5XHg9AXdv3nKjq3mJo1fPZBXvXwZnEzPcarR1KNJDTx4RSN8teIgaloMdC58vjcqlIlC1zELLT1ObdAldfDd6kMoX6boHKH0KV68qgWiIiPw0a3tsHzfaZw+b8t2kfBcD0qh9GGklIgf3BJTlh3A2Qu5kLD1O+fb+50dG1bF2oNnvXoPo65ujddn7jAcENA7QjauWQGNazrvj1anqftTIPudZiiZJgVBvA4JBwxglBBXNKuBO7o2wM9rD5sqQGgkJirCcJmlT25v7whsaKdzeGPi7e1xqf35vrm/M6ZtMh8I8VSULRD0RqAHtamDaZuPOXU0vfVUv2ZO88PNGnl1a7edPqvCfRrInKcDtwymGUIIl1V7fGX1vPPq0NZ4dajv3/njfZui9UWVXEYyAGDdiH6m0oT9pVezmpixJdl0oUZv03e1Fzh6o4QlzfXt6+H1f3Ya/j3Q02TV35Vy0V5WE5hRF2rdOLK/YUDrI4MVXvwtOjIiYAG8qfd0wh8bj1iaA12/Wjmf0591v2aL3/3Ht7nPHrysXmVsPZpmOiim7kuoR569pd2N1f9vUL2c5dVKFJdcXBnznu3lUhjTbVsCdEwxqm2hp229ynjj2kswzGKBaD1vDHO/ilrPZs5TdZULO71j9XXt62LKsgN4WbNKmjJdwuzqYAmvDUSZqAivM9TG39IO/2xNxpv/7HRMG3O0RXWM+ub+zli8O8UlI6tro2r4asVBp9v+ffIKnEzPdvu6TWr6vmToqKtb48l+zZzqrpSJitQ5Tvi2IQohMLx3E2TlFuDjhftQvXyMU79TWXln7A1tcNUl1kb97+7W0CWIpd5vRgw1HqScfFcHxNUoj4sql3W74lughbrMhLeZ4MUdAxglyOirW2PwpXU8pkd66xqD1SCU0W+r1EWL+raohb4tPKckKsJlR60UG41fDIqGWaVdE9pX/ioQFG58WZ883CipmRViQ3coNgoEBDN4AdgKYfVvXdvjiJmjU+xln0zpICtpuM/2b4bX/9mJ8mE+RWrxC328zvSqXC4aLw9qiXfn7NbtyypBnP6tzB+DvVW1fAxeHtQSg+3prcqIpvqtmVly2xux0RHIzit0nLM+vq2dYcA+kPq3ro3+fhgRN6t8TCQu5BZNX6haLhrnMm01Hvzd91a20VB16rW7iD+bYXUVnEDUSLBKCOFUhDK4r23/RedjiB/UEk9e2dRlWfqaFcvgl/91QxuTUzKs1h/Tqlo+Bvd0j0O3xtWxMvG009/UxSRrV4rFbSaz5wK1fLlWVGSEqaXJ1Yxq25nxdL9meKhnI5fVde7o0gAXVy6LPi1q+rVo5OVNq7sN9AzysIS1WsPq5dDKZLHicPHxbe1MTYVkBgYVe7HRkY4I+KQ72qN+VfNRel8sebEvcvKM53YGwkVVwqNmQDj7c3j3UDfBrxpWL4dDZzJD3Qy/alKzAkYObWW4VGwwhUOtajOdUUdhOC/P1eViorAq/kpHx+++yxvp1uoJN3rLNys+vq2dxxE9T/3KNa/08yl7z4pH+xQVLbuqdR1MXXEQlcoGvjuiBL+UYrqtLqrk11pJj/Ru7NXUokBxuZi3bwS2aUm2AMY717eBP13Zsja2H0v3W+0Qq/wRNHj/psvw3tw9TjUOvBGCRNGwUrQKiesHEREhdJeZBeD3DEczmteu6BKgKimDJYMurYMf1xzGjjeu8ilQb/SdCSHQt6X/gt++7sObRw1wKea79EXz066sClTfaVg7zwWMgaKp7E1VfYDScOhhAKOEuvqy4F0QVSgT5RJFDzTtag7kSq9qf7Ap05r8Yc7TvQxXYni4V2OMmb3bsUJLcSGEMFWpm4rc2yMOr/y9zacLz4uDUOA3mMx2dNzx5+oYRvTmCr8ypBWG92nisopIIBStshUYVpZNDKTr29fFzIRkR6FubWe2RoUyOJ6WjUGX1EE3P0wHVXumXzPHUpUhIfX/a2VguEfTGpjuw0i147VL2Yiolq/ZcsVL+L7J16+5BM/0bx72WYYKpQi6t7WMzK7OZkXtSmXQsFp5rEtyrfURyBpSZkRECPz0UFe0rFMxJNPrQ6V4bM1EVCyNub4NxvhphK9sTCTKQn900+wyW+SqaFWOcMjB8Oz2Lg0sF8L0lw9vaYsJC/YiOoIBVCvcXcBERgjLadDkXt+WtXTrZSh7uDKN6r7L4/z+2hGq1WPcCdRFbTh130vHhbuxomVUi5eNI/ubvhAsDjWUvJlqEkq1KsUGZLlTX6wd0R8AnJasnnpPJzStVcEl2yMUlKlBKR5qr5QkDGBQsdK0VgUkppz3fMdS7OeHuqJekKYPUfHnCGCobvNHZfiS6Jq2FxvWAiouwrifHXDKiHBxCdb5i/bi6sYOdbHu4Fm305ICJTJCBHSUUHmvbepWRk5+AZ7u1wzDf9wYkilytUKVhRImlP0smKu0+UOgavBQybH0xT5hkeVcmoVlAEMIUQ3AbwDiACQBuEVKeU5zn/oAvgdQB0AhgClSyo+D29KS79ZO9b1eIzsQ/nq0h2M5KNLXww+pr1R6lLOPxipLxoXbyAf5RzP7MpBmq/tTyfHWdZfinVk7HUvy+mupWW+0rFMRO5LTA/b8yjShSmWj8NNDVzj6C10bBa+uwgOXN8LXKw9aXh5brVGN8rgjRJlm/uKo4Vm84hdB1aZuZfRtUdPzHSmshGvwQsmu6xGCOjLBFpYBDADxABZKKccJIeLt/39Zc598AM9LKTcJISoC2CiEmC+lNF4rjix796bLQt0EJ5XLRvtcdZqIinRvUh1jrm/jl2X2KHz1a1Ubc57p6ZhfHAqlLPEhbNzUsR5u6lgv1M0AEPhtoG39KqhVsQye7W9b1atGhTJY+HzvoBU195fFL/QJdRN8Vhr29+a1bYFhq8uHKv558gp/NodKuYqx0Vj0fG/H0rYlWbgGMIYB6GP//TsAS6AJYEgpjwM4bv89QwixC0BdAAxgEBGZJITAHV2L90gfmdMyRMvIcQCWFIEeja8UG411r/Z3us3TCj0UGBHFdAqJFQ2rl8futwY5spuIQq1xKTnehWsAo7Y9QAEp5XEhhNv1eYQQcQDaA1hr8PeHATwMAA0asKNOREQUbOEyIFurUhkcS80qMatZrRvRz3CFJqJQaWtfBcffK92EGwYviIIvZAEMIcQC2OpXaL1q8XkqAPgLwDNSSt2JlVLKKQCmAECnTp1KbiiYiIgozDSoVg7Xt6+Lh3o2CnVTAACT7uiA1fvPhKSIZSDUqhT4JXD9pTRMKyCbdvWrYMvoAUFZIpmISpeQBTCklP2N/iaEOCmEuMiefXERgBSD+0XDFrz4SUr5d4CaSkRERF6KjBD46NZ2oW6GQ9Vy0WFTE6K0qWq/mI2KLLmRDAZpijB4QUSBEK75kzMB3Gv//V4AM7R3ELb1mb4CsEtKOT6IbSMiIiIiiybc2g5vXHsJV8MhIiKvhWsAYxyAAUKIfQAG2P8PIcTFQojZ9vtcDuBuAFcKIbbYf4aEprlERERE5E71CmVwb484CKYpEFExVL9ayV/hozgIyyKeUsozAPrp3J4MYIj99xUIn5pgREREFMaa1qqAbcfSHKsjEAVSCV58g6hUWvdqP5SLCctL51KH3wIRERGVeN890AXbjqVx1QAKKIbHiEqmWhWLT8Hkki5cp5AQERER+U218jHo3bxmqJtBJdztXRugYmwUhlx2UaibQkRUIjEDg4iIiIjID5rUrIBtr18V6mYQEZVYzMAgIiIiIiIiorDHAAYRERERERERhT0GMIiIiIiIiIgo7DGAQURERERExVafFizQS1RasIgnEREREREVS9teH8jlkYlKEQYwiIiIiIioWKoYGx3qJhBREHEKCRERERERERGFPQYwiIiIiIiIiCjsMYBBRERERERERGGPAQwiIiIiIiIiCnsMYBARERERERFR2GMAg4iIiIiIiIjCHgMYRERERERERBT2GMAgIiIiIiIiorAnpJShbkNQCSEyAOwJdTuIiIjCUA0Ap0PdCCIiojDEc2RwNZRS1tTeGBWKloTYHillp1A3goiIKNwIITbwHElEROSK58jwwCkkRERERERERBT2GMAgIiIiIiIiorBXGgMYU0LdACIiojDFcyQREZE+niPDQKkr4klERERERERExU9pzMAgIiIiIiIiomKGAQwiIiIiIiIiCntuAxhCiPpCiMVCiF1CiB1CiKdVf6smhJgvhNhn/7eq6m+vCCEShRB7hBBX6TzvTCHEdjev21EIsc3+HBOFEMJ++3D77VuEECuEEK0NHt9LCLFJCJEvhLhJ87cC++O3CCFmGjz+Zvv7LRRCdFLdHieEyFI9frLB498SQmy132eeEOJii49/Xwix2/4c04QQVVR/c/vZEhFRcPAcyXMkERHp4zmS58iAkVIa/gC4CEAH++8VAewF0Nr+//cAxNt/jwfwrv331gASAJQB0AjAfgCRque8AcDPALa7ed11ALoDEAD+AzDYfnsl1X2uBTDH4PFxAC4D8D2AmzR/O+/uPdvv0wpACwBLAHTSPK9hu1X3U7fzKQCTLT5+IIAo++/vmv1s+cMf/vCHP8H74TmS50j+8Ic//OGP/g/PkTxHBurHbQaGlPK4lHKT/fcMALsA1LX/eRiA7+y/fwfgOtXtv0opc6SUBwEkAugCAEKICgCeA/C20WsKIS6yf3Grpe3T/l55billuuqu5QHoViCVUiZJKbcCKHT3/oxIKXdJKfd481j74021083j50kp8+3/XQOgnv13w8+WiIiCi+dI7/AcSURU8vEc6R2eIz0zXQNDCBEHoD2AtfabakspjwO2DRRALfvtdQEcUT30KIo21rcAfAgg081L1bU/Ru/xEEI8LoTYD1vk7imz7VeJFUJsEEKsEUJc5/nuLhoJITYLIZYKIXqq2jVVkyb0jhDiCIA7AYy2+niVB2CLHgLuP1siIgoRniMdeI4kIiInPEc68BzpB6YCGPaI118AntFEhXTvrnObFEK0A9BUSjnNm8c7fpHyUyllEwAvAxjp4bn0NJBSdgJwB4AJQogmFh573P749rBFAH8WQlSyt+shKeUGVTtflVLWB/ATgCesPh4AhBCvAsi3Pwfg4bMhIqLg4znSgedIIiJywnOkA8+RfuIxgCGEiIZto/tJSvm36k8n7Wk6SrpOiv32owDqq+5XD0AybHOROgohkgCsANBcCLFECBGpKkbypv3x9XQer/Ur7ClB9ijVFiHEFk/vR0qZbP/3AGxzk9p7eozqsTlSyjP23zfCNneouYeH/QzgRquPF0LcC+BqAHfaU6AA48+WiIhCgOdIp8fyHElERA48Rzo9ludIP/G0CokA8BWAXVLK8Zo/zwRwr/33ewHMUN1+mxCijBCiEYBmANZJKT+XUl4spYwDcAWAvVLKPlLKAillO/vPaHsaUYYQopv99e9RnlsI0Uz1+kMB7AMcUap2Usp2Ht5PVSFEGfvvNQBcDmCnu8doHl9TCBFp/72x/b0d0Lmfup3XAtht8fGDYIu29FY3AAAgAElEQVQMXiulVKdJ6X62ZttPRET+w3Oky+N5jiQiIgA8R+o8nudIf5Huq5heAVtqyVYAW+w/Q+x/qw5gIWxf/kIA1VSPexW2qNAe2Cu/ap43Du6rx3YCsN3+HJMACPvtHwPYYW/HYgCXGDy+M2xRpgsAzgDYYb+9B4BtsFVg3QbgQYPHX29/fA6AkwDm2m+/0f76CQA2AbhG9ZipsFeahS3SuN3+uf0DoK7FxyfCNkdJ+cwnm/1s+cMf/vCHP8H54TmS50j+8Ic//OGP/g/PkTxHBupH+UKJiIiIiIiIiMKW6VVIiIiIiIiIiIhChQEMIiIiIiIiIgp7DGAQERERERERUdhjAIOIiIiIiIiIwh4DGEREREREREQU9hjAICIiIiIiIqKwxwAGEREREREREYU9BjCIiIiIiIiIKOwxgEFEREREREREYY8BDCIiIiIiIiIKewxgEBEREREREVHYYwCDiIiIiIiIiMJeVKgbEGw1atSQcXFxoW4GEREREREREenYuHHjaSllTe3tpS6AERcXhw0bNoS6GURERERERESkQwhxSO92TiEhIiIiIiIiorDHAAYRERERERERhT0GMIiIKGws23sKx1KzQt0MIiIiIgpDDGAQEVHYuOfrdRg4fmmom0FEREREYYgBDCIiCisXcgtC3QQiIiIiCkMMYBARERERERFR2GMAg4iIiIiIiIjCHgMYRERERERERBT2GMAgIiIiIiIiorDHAAYRERERERERhT0GMIiIiIiIiIgo7DGAQURERERERERhL6wDGEKIQUKIPUKIRCFEvJv7dRZCFAghbgpm+4iIiIiIiIgoOMI2gCGEiATwKYDBAFoDuF0I0drgfu8CmBvcFhIRERERERFRsIRtAANAFwCJUsoDUspcAL8CGKZzvycB/AUgJZiNIyIiIiIiIqLgCecARl0AR1T/P2q/zUEIURfA9QAmu3siIcTDQogNQogNp06d8ntDiYiIiIiIiCiwwjmAIXRuk5r/TwDwspSywN0TSSmnSCk7SSk71axZ028NJCIiIiIiIqLgCOcAxlEA9VX/rwcgWXOfTgB+FUIkAbgJwGdCiOuC0zwiZ3Hxs/D0r5tD3QwiIqKwk56dh6ETl2PfyYxQN4WIiIqxcA5grAfQTAjRSAgRA+A2ADPVd5BSNpJSxkkp4wD8CeAxKeX04DeVyGbGFm2Mjaj4OHI2E13eWYBjqVmhbgoRlTDL957GjuR0fLRgb6ibQkRULPy89jBum7I61M0IO2EbwJBS5gN4ArbVRXYB+F1KuUMIMVwIMTy0rSMiKnl+XX8YKRk5mLbpaKibQkRERFSqjZi2DWsOnA11M8JOVKgb4I6UcjaA2ZrbdAt2SinvC0abiIhKKqmtMkREREREFEbCNgODiIhCa/+p8zh05kKom0FEREREBIABDCIishOatZ/6fbgUvd9fEpK2EBGZIaXED2sOIS0zL9RNISKiIGAAg4iIAHAKCREVP1uPpmHU9O148c+EUDeFiIiCgAGMEmp90llcyMkPdTOIiIiIAiY7rwAAcC4z13Hb1OUHMHvb8VA1iYqhzNx8FBQyik9UHDCAUQKdysjBzZNX45nftoS6KUREREQBJ1A0B+7tWbvw2E+bQtgaKm5aj56L+L+2hroZRGQCAxglkDIaset4eohbQkRERBQ44Txm/u3Kg1i+71Som0Em/bGRS4gTFQcMYBARhbEjZzMdQUkiIjIgPN8l2F7/Zyfu/mpdqJtBRFSiMIBBRG7l5Bdg78mMUDejVMorKETP9xbjmV+DOx1MaJcjobBz9Fwmxs/bA8nKq0RERFSKMIBBRG6N+Hs7Bn60DKfP54S6KaWOUlBs8Z6UELeEws3wHzdi4qJEJKacD+rrLtmTgh/XHArqaxK5wxgelQbJqVkoDIMio+cu5CIzl4sEUGgxgFEC8WRO/rQu6QwAcFUbojCSk1cIAAh2f/a+b9Zj5PTtwX1RIjekvQoG88bCw8rE0xgwfily8kvv1Ed/T/08cOo8eoxbhMnL9vvtOb3V/q35GDB+WaibEVK/rT+Mu79aG+pmlGoMYJDfHTmbifHz9zK1uYQRQewerko8jT82HAnKa01dfgBx8bOQm19o+jFztp/AnO0nAtgqIuDtf3ciLn5WqJsRls7n5OPtf3eW6oskKt3m7jiBuPhZOJGWbelxXccswAPfrg9Qq4BR07djX8p5HD2XFbDXCGdmp35uSDqLUxnmMluVz3JV4hmf2+cPx1JL53erePmvbVi+73Som1GqMYBBfve/7zdg4sJ9OHj6QqibQsXUHVPX4sU/g7Oc2aTFiQCsZZgM/3Ejhv+4MVBNchHqUGBc/Cx8vGBfiFvhH8mpWWEXXM3KLcANn63EzmTnlaOmrjgYohYF1tFzmfh57WGfnmPiwn2YuuIgflsfnEBnoG0/lobZ246HuhlUjPy6zrYP7TyeZulxJ9NzsGh34KYlhtfR1Rx/nhPMTv28afJqDJu0wtJzszxV8RCO/YyShgGMYmDV/tOYs734dGyUkezSsutuP5aG30tIJ7okeuqXzbjqo8CkO55Iy8aeEyWnwKm7ffbL5QeC1o5A2X0iHT3GLcI3K5NC3RQnGw6dxabDqXhn9s5QNyUo7py6FiOmbUNGdp7Xz6GcZ/ILjLfa5ftOOeaMZ+UWYPy8PZYyrYLp6k9W4LGfNoW6GWFjZ3I6UjJMZhbYNwFe3IWXQH8daw6cKfYrdCWbzJ4pLf3pkiBc+xklDQMYxcAdX67F8B8D37E5dyEXaw6ER3pacXL1Jyvw0l/ByRYIplWJpxEXPwtHzlpPFbyQkx+wjkV2XoGlopYzE5Kxx80qKr4EybuNXYirJgQmOLIq8TRajpoDQL8jKKXE3B0nglbUq8DE6xQWSjz5y2ZsOZIahBZZs3hPiiPYFG7HOWV6VigGbKSUOHshNyivVVAokZaZh7Pnba+n3qQyc/MRFz8LP6xOsvSc2o8sMeU89p3MwIKdJ3H3V+vw+VLbnPFPFydi4qJE/LLOt8wPf8svKMS8Hc7T0T6YuwczE5JD1KLgSMvKQ36BcTBpyMTl6PP+EkvPGcxpjuEg3C9qA9m+xJTzuG3KGrQcNQdx8bOw+fC5AL6af6Rm5po6j+pRRvOtrBCWm1/oU5CYvJN0OhMAsDrM+hklDQMY5HDXV2tx25Q1Xh9gCwolPl+yH1nFPCK+8dA5p4vCx37aiIe/3xDCFoXG9C3HnP5vZXTrktfmYlCALuzf+ncn7v9mPbYdtZY260m4jd5pP3+tvzYdwyM/bMSPa4OzIkSBiavrE+nZ+CchGY8GYHrN7xuOIC5+llfPvftEOu7/Zj1Gz9gBwD8d6+9WJZkfIfYglNveL+uOoMNb84OyVPLoGdvR9s15yNG5cD1jD2p8scy3TJ/+45diwEfLcDzNFnh9f+4eAHAEVL2pmfHv1mTsOp7u+Y4GluxJwfqks7p/+2LZATz8g/M2PWlxIp76ZbPp5y8olIiLn4Xe7y9GnpugQDhp+8Y8PPOb+xoBmbnmvit3+/P936yz0Cr/+GHNIbR5fa6p+6ZkZCPJi+m2e09mICPb/LTHpXtPIS5+FtIyPV/Q3jx5FQZ/vNxym4IpLcs56Dpv58kQtcSYertMy8pDuzfn4905u316Liunitu/XIM2r8/z6vXIe+HWlyypwjqAIYQYJITYI4RIFELE6/z9TiHEVvvPKiFE21C0szjrOmYBXpthqyi/06CDtjM53W2hoey8AhQUSkzbfAzvztmN4xYLSuXmF4ZNWu+yvadw4+er8PXKornns7edCMuTY6D5OpqVdCbTTy1xdsj+vOcyfR81DuelwPTiBV+vOOgYrT2ZbtvP1PvbL+sOIy5+ltNFmpQSK/ad9nk+ppnH+3vETckCOp6Whbf+sU2v+M+L4qmp9k57WpZ/RqMOnr6A12buwKN+zoyTElix77SlrBqr89+1lu61ZTPtO2lbjvWH1UmYtTUwUxZnbrFlFbg73lvdTM0epZSaTN7E55/4ebNPF3T3fbMeN09e7fj/l8sOYOEu2znFH4UOVyTaiskdOpOJX/08nVEpcqzs/9l5BcjMzccLfyT4HMD71w/bWW5+oSNos/rAGZfj1OI9p3x+DatGTd9uOrjQ5Z2F6PPBEsuvMfCjZdh4qCjrICe/wG3w6tNFtlpPu054DsStTzrnCNhl5xV4neUXzOs4X18rkNlvcfGzHIGLf01mVp29kIvtx1THdi/ap94+AqGgUGJloudCltuPpXmd5ZeYkoH9p4yXCl9z4AwmLNjr1XOHGyllWPdJw03YBjCEEJEAPgUwGEBrALcLIVpr7nYQQG8p5WUA3gIwJbitDG9mooAn03Pw3epDyC8oNDyAD5m4HAM+Woodyfod5Zaj5uDh7zcYZl6cSMvGmfPGAZCWo/5Dt7ELPTdWR2ZuPr5fneS3YjlKZ5LF1MKXsl0Xqr7zmyevwhdLrS0vNm/HCbQePddvF7X+prdFv/nvTpfRWvVu/oF9tDk9q+gk+O/W47jrq7X4cY35TI2CQhmw2h5SSvy45hDSTaS2/mRP99+QdM6n4Ij28ODr4UK5UEj307ajfIerD5zBXV+txferkzw/xv6gZ39L8Hjf7cfSsHyf/oXcwl22AIYStB01Ywce/7n41GIw+ipH2bNtFAvtRQsTU4w7w8HyzuxdePA7/2X1JatWBMg2mbUA2Fa58ZTRNGb2LgBFgZ+Wo+ag9ei5+HPjUYyd7d1osj+1HPUf7vumaEUNK8e5QAtmEb8WI+egr4lAiNUL/Zaj5uCVv7cBsJ0XdhsEQKZtPmp5NRSrdianY4l9+qjLMd3+789rDwes5pUvlKLFZmteXPPJClz9iWuBz3Aa3f98SSLunLoWy/a6DxJe/ckKXKPzXszoP34Z+n241PDvt01ZgwkhLDCuPvYWFEpc8e4ixwCA1d3/08WJaD16btCmdBZ3YRvAANAFQKKU8oCUMhfArwCGqe8gpVwlpVRCjGsA1AtyG0sMdVqb3kk3NTMPQyeuwH8GF/YLd6e4nBjnbD+BaZuPotvYhej49gLD1y6U8HqHHTt7N0bP2IGZCcmGJ1YrlIviTYdTceRsYDIISoJbvliNkdNtnZqNh875taPm6cI2QrjWC1ifdA5j/7PWmV6mc0F3Mj07bL53JcPCG+pOjnKCPWJhpHf8/L0Bq+2x8dA5jJy+Ha9O2x6Q59cjDS5zpZTYeOgsJlsMfhU65iP73DQbzfN4yl6yOs3v6k9W4O6v9FPp8+3PdTgI2304zNkP98LwV39iPdNDHcyVkNiRnGa4apB625m64qDpjKZwraiv3RWsHOe89dzvW3Cfiakp6o/sU/tqV4F09FwWnvUwLccbv9mXNB8/fw8GTViOfZrpZhnZeXj2twTc/dVav7+22pCJy52CVXpGTNvmtuZVcaFdptToHOYvUkrLmTYH7FltZvoqVpZd7fDWfHy3KslSW0Klx7hFjt/PZ+fj6LksVf0iz59nTn4Bth5NxT8Jyfhgni2T5FRGDgoKpcsxd9X+0/hWlR1e2oVzAKMuAHUu5FH7bUYeBPCf3h+EEA8LITYIITacOhX8dMLiYNPhoqJ77nY5d6lc2s78+3P3mBod9IUyjeDpX7dg0AT/ztnUBlVy8wvx8p9bHXOrSzq9i7Pk1Cws2n0S6w6exY9rDmPxnhTc+PkqfOvHk42S6mokQicDwx8EBLqOWYie7y326vFSSvyx4Yjfipeqp8iEw6WDvz5uJVPrHw+ptEv2pOCony6qtW0/ZU99HzpxBW78fDXG/bcbx9OykGUwep2WledUVFF5vogQDIcdOnMBTUbMxt6T+sdib7fDYFTzP69dqtj+Of689rDLdALtZ25E/Q2YCYT7eiGQX1CIV/7e5rdAp3YT2n7MeiBevX1LCVw7aSU+0kmr3pmcjiYjZmPRbvNTIq0UDfTEylLV3vK1tWcv5CLVw/TEvzcdwxITU1PUW5pSiyXQpm3Wr52kbPdWvk/t1OHN9n5iiv329Ow8nMrIQaF95opyIRuKYFcgjsSHz2RiqYfsgkB7+9+dTp+np/d58PQFjJy+zXKQ+7rPVqHxiNlOt505n4MX/khwOjeorwECVTT37IVcvDZzh+c7lgBv/LMT105aiSdVNY8kJJqMmI0X/9yKFFVw6I4v1+L1f0rHSmVmhHMAQ7fwvu4dhegLWwDjZb2/SymnSCk7SSk71axZ049NDI28gkKM/W8XNh4661VBMj1mTzj/JBxHr/cWo7BQ4q+NR7FKNf8tFBXA/dm5Apw3MO0F8rK9p/DbhiMeR44/X7Lf62yQt//d6VX6tpQSO5N9z0DxZOjE5Xjg26LUZ2XKTcKRVBw6Y70QGWCrzN32jXmO+ZrqE+/Y2bsMU5x9/eq12+u7c31Lh16y5xRe/HMrRs8wl1mwMznd7X7naZdUpjFM33wM93+zDs1enY0zxSD10Oxx4r5v1iPBT4VatZ+lkm2grvvTfewitBo9R/fxz/62BU/9stnReSvKwPDP8Uf7mWTlFjh1FAsLJXq9txgzthzDruPuRxeV7dBMsTh1YUozo2/eLud91UfL8Nt649U/Rkzb5tJe5TM/4CZoDjgfszu8NV//Pn68oNp0OBW/rDsckJFub2nfnXIMnZmQ7HQBtsm+UsP8neZXcVKe61xmnlO6tDf8sVpXwpFUtH1jnmGw6otlB1yCo1amNnR4az7avam/HenJzS9E97ELMXeH9do8ahsP6Rd51eNNTQplF7ByyOr8jnHmLAD0GLvI4308SUzJsJwBFwh6n2ifDxbj3q/XYfrmY1ixz3OtB1NP6saFnHyMmb3LKWAwdcVBnM/JNzWAIKVE3w+W4Mc1hy0XHU7QWTns3Tm78efGo5iuCorpTecIRrhqnMUM2+Ji61HjFdv+3HgUbzBgYSicAxhHAdRX/b8eAJfhGCHEZQCmAhgmpSwVa9b8t/0Evlh6ADd+vhojLaZhSykdqWJGnTp3B8o9JzNw+GwmcvIL8fwfCbhjalHKoL9iCVJKfDB3DxJTjDvqe09mIC5+llMARXms8q/R+/t6xUHExc9yHQ2Ec0fXzEFZr3r4u3N2G2aDjJy+DXHxswyfb+qKg5i19TguH7fIUtG43zccwZCJy7F4t3HHNC5+FuJ96EAKYevE6pm+JRm9LS55p1ifdA5pWXkYPWM7Xp+5w5HSDtg6o94UbTRDOxKrzFH1ljL15fcNRz3ed/7OkxgycTn+3lTUMdDuk9o+qrrTql76MjktG4v3nEJegfqxRemgU3RWdXC3/7tzMj0bb/yzw7H8oae00yNnM/HOrJ1BW+rViPa7FkJYmramXLjl5Cnv2/48/mmei982HHHqKDYeMRuHz2bipT8977+n7fWGUj2sNrDx0DmnY0yEEC4r+6xKPO108addzrvrmAW4dtIKHDmbibj4WS5TDGcmJOPfrbZljF/+a5vHtqs5PnODgp9Wzjffrw6fughqq/eb77IcPH0B4/7brbvfGp23nvplM+79umiqQ9H0O+v7Y+d3FjilS3v7PFpWV+D4fMl+pGXlYa2bJQq1+4mvc8onLNhreEF46nwOjqdl43WdEWMro+A3fr4as7YedxTj/Cch2fDznbrCt5V6FL70BwCdjCqNY6lZWHfQfWDmhs9WYdx/uw0H406mZ2NmQrLL5xvIM8rrM3fg9Pkcxzn4md+24C4vp8dY2UcmLU7ElGUHXJZ6LlQdAt0FzQ+Y3JeSU7Pwxj87TJ+XjV4y0AmI6ov7QAe5zpzP8Xu2zYJdKSgslNh6NNVxPZOTX4DRM7Y7srw8DejM0pm2/9dG1z7m35uOIi5+lm5h5cW7U3CuGAxuWRXOAYz1AJoJIRoJIWIA3AZgpvoOQogGAP4GcLeUsmSUoTVBfdBZZ7A0m9aZ8zn4dHEibv1iDRq9MhuNR8zG07/qjyCZSbGNCOCWcy4zD5MWJ+L2L41PGGvtJ0WjEeeWo+ag/3j9wj/frLLNIXNXWBRwPfE8pLOUqtXq4T+uMXeRfCw1y6nDlJ1XgEETlmGNQadNGZVVn8B2n0h3GfW0UqFeu4b1PwmuB1Jvz1+TFu1zdJ6Uz3lHcjq+XZWkW5vCrPyCQkxYsNewY5WSkW1qXfRf1h0O6LKS++wns72qIF3jEbNx25Q1uvfPzS90Su/8aL77w92A8ctw6etzkZ1XoLuPNB4xG7d8sdrptpT0bGS66ZDmF0p0HbMQ36xMwir7hdfTv25B4xGzDZd8fOKXzfhy+UHssGcHFRZKrzqCh85c8OliSftQAeCer72fr+2YQuKn46C/OoKFhRIv2i/e8gslxs/fazg15Og5zRQIAVwzqajQWnZeAe6YuhZDJhoHUk+m52Dr0TTH96tNX3/ql8144mfj5UDdnWt2eygia2VzcCpA7cOVz8cL9pk6fph1+5f6+7vufaesweSl+x2rMD347XrHikNmLkROpGVjxDRbEOnX9UecUpN98fPaw3jIREFSvU43YDuHepqyYZW/lnL/dd1h7EhOw4QF+3D9Zytd/r7pcFH9J71duPlI3VnN2HT4HAaMX+qy4sDjP2/Ce3P24JNFiXjyl826q5+lZ+dhjKZ4atJp76YzebtizVcrDuoe87Vb4d1frXM5z2gpS+Ua9Y2GTlyBp37Z7DJN1eWYbvIYmptf6HTse+GPBHy2xHna6rerknQDUt6wcpxSAuTawNedX63Bxws9F6p0CmTqvO6Rs5nIKyjEwI+W4ZuVSYard+TmF2L8/L3IyjO5OqDJ92h0EX08LQu93luMo+cynd7DtZOc97nDbmpDbTuaZniMMePOqWtx79frnFbI2n4sDX9qnlP5bMxqPGI2rp20Ev3H22qKTd98DN+vPoR35xhPKfO0zTz/h+vU/Df/tWVqTFnqHNxMy8rD/d+ux/90rl+Ku7ANYEgp8wE8AWAugF0AfpdS7hBCDBdCDLffbTSA6gA+E0JsEUKUvG9IZYD9glx9oHa3oR85W5Tu+eKfW/H+3D1OAQ/1/GJ1DQxvebu+tRG369kbvHFl9D4nvxD7TzlHo+PiZ+F91TSBGVtc51erL3wLJbD5sOsyVMGe33n2Qi5ajpqD3Scy8NqMHTiWmuW8vBaKtgl12wZNWG551PPQmQuO1ScOaU4W/vx+P5i317DzdOCUuVGEyUsOYO/JDMfyiIAtWj1hwT5c+tpcFBRKl3nqXd5ZaBjYUnvl720YGMBK5soFR6Sm17VWNVrlbjv7fs0ht/t+WlYeMnML0MVNeu/6JOdtu8uYhfjO5Ej1PV+vw76TGY5jyMyEZPy2/jA22I8vyrsqsA8dKUHDTIMLC09LpX0wby8uuFldQbsdqO1ITnMpUCkEsD/FuylPBYXScaHvr2lbvsYvlOlbBaqN4p+EZExcuA9frTBX9Eu77OMD39qK5YW6IvqBUxd8Hn3z1yH7owV7DVN6Nx0+5zEo4Mu544T9uft8sARx8bMcq6ocOpNpamlY7UpfXcZ4t/KX1ohp27Bgl35Njd/WH8bGQ2eRmHLeqdO9YJdzpuDI6eYzSb2pYSIEMGXZfpfik57E/70NQyfa9vX8AtfXveGzVarXMLcXf7o4EQ9+ux77Us7rZnUkp2bhhL3Oll5gRy9rR7l4cUdpvafAoBmLdqc49R8f/K6osObWo6mGK21c+tpcPP+7fl20twzew2kPA01WvfzXVlzx7mJH8OjPjUfx3pw9GPyx8/ne21119f4zTiubFZh4orj4WdiRnOZYCUo7eLL9WDq22rPjFu9JcSwt/tB3G3C5JitKoZ0CfeZ8Dnq+txhv/LPD0c9daJCx+/PaQ5i4cJ/TVKzFu1Nclr9WtviT6dnYojMFRevV6fr90T82HMXhs5n4dd0Rt5/7bVOMg2HXTFqhe2Fvll7/4+pPVuAFzXP+tuEIJhoEk8wcm5RjtbtzgTf13ZSMy6krDjoF7JXvzKh/VJxFhboB7kgpZwOYrbltsur3hwA8FOx2hcq+lPPIKyh0ypyQsF2kpWRko2PDarqPW77vFBa5mVqg9W/CcSQcTcWbwy611D5PKcsAsGDnSXRpXA2VYqN1/x4XPwt9W7jWKTmRlo3VB07j+vbuF5r5ZFEinhvQ3PDvny7ej/rVygKwrbSw50QGrm9fF/1b1wYApKQXnSylBK5XdVB8ce5CLhLczHVzR73snxBwnLA+urUt8gokLr24suX6I6fP52Bncjp6NXf+rJVpIEnjhnrVVm9YPVQr91+XdNYlyKDuZC7YdRKP/OBaP+Ok/TtWf9e+Ss3MtVQEUTmJRUZ4d+lqNvUzXXVROmXZAdzbIw51q5T16jW1lmvmBLsLlv296RjG39JO928HTp13jE5Emfw8xv23G5OX7sd7N13mki6+4LleaFqrouP/ygWI2unz3l2UCwHkq/J5PX0NJ9KyUbtSGb/W6tF7qhNp2WhYvbxux8fbkfZVHqY3qEeP1a+7/9R5pGfloX2Dql69rpa6JtDw3k0cv4dqOUElGKa846zcApzNzHVczLo7dh5LzUJFg3OfnpT0bFSvUMZtHRAB2zQGxb9bPRc+1RMXPws3dayHD25ui48X7MNHC/Yi8Z3Blp8nLSsPbd+Yhyf6NsUkg5U3tBdC2uK5RtMJcvMLHfuule8/IzsfY2bvxoQF+7DzzUHmH6iRk1+Ak2nO541PF5sPrqVl5TkV8zQ6LjgXZZU4mZ6DOpVjAUD3nKaVmpmLMlGRKBsTiey8AizaneK4YBplIVikdsvk1ThoUOdqg71+VUZ2vsuoueKmz1fhfE4+/tp0FB/e0tZxu/qIlZqZi5ioCJSLcX9psvVoqtuAN2D7rKMiBMqXcX4uJUssN78Q5WKKbtcWRc51N4Bm4EJOPm7/cg3a1K3suM3s8u7q6b/ac6uasm1sP5buCBxOXrrffmws2p7Un2uLkf9hzvtp5nYAACAASURBVDO9PD63Qpt5sWh3CubuOIn/9WzkdLuy+X44fy8+nL/XY7/RqEi2ei9wd0pNTsvGibRsvPzXVjzSqzF6NK3h9vWsUKbgfrvqIA6ezsTYG9o4/nb2Qi4KCiUe+WGD03ertdbDdCmg6Ptbl3QWcfGzdPuAR02spHQqIwdVykUjOtI1D2Hx7hRccrGtnUXFez0+ZbETthkYpE/vIqnne4tx4+ercctk/ejkg99aS0x5/o8Ex5xhdwVmrDp6LhMPfb8BzxhMXVHW7l5sr+6tPol3G7sQz/6W4LiYNzrIaVctmLhwn9u5X7O2HXdMDZFSOqUp+nOVi/u+XW+4/JenaQ9GKZjP/paAl/7ciiETl6syMMy1566pa3HP1+sctQy0zETTAf+MjvgzoUWd0q+9yFdHvL9ecVA3Pddb7d6c7/YCXkqJL5cdwPG0LMzYcsyRghghBJJOX9Bd0cDd5+LtRzbFj/NI/95sLV0zJT3bZQR069FUXKmq9ZBvMjCjjMjr1YTYkOSaNeUrb7bRfScz0G3sQpdU5Hfn7Eant52LBJoNcBg1o2hUx/VvRlk1Vt+TdurElR8UfW+T7CsHHUvNQr8Pl/ot8Ks27r/djmUac/ML8c3KJADAjmNpmLRon8din4rNR1IxY4vtIuaHNYew/9R5xzFY+x5PpLlus1pDJi7XHQX9fnWSy6iXlEDbN+Y53eau9k6XMQsxfv4ew6mDADDgo2X4fEnRfu3NKiYKJV1a2b+avqo/BUKht90qq3QZBS/0HNIc/x7/Sb+Q9fN/JDiKPVuhnEMzcwsQFz8LP609hIJCiY8X7PO4bLdCAvjf9xvR6/3FTrcr9QoKCqXuNqSm/e49rWIkIPDVioPoNnYh9p3MMF0vpN2b8x3LYI/7bzce+2mTz1m265LOuqxKYsUG1feWlpmHiQv3uZyj2705HwPswezCQolPDEa6r520Eq/87Xy+lRJONdHavjEPl7w212l7UWeuehr0me9F/0DJGt6jynIxWp66zWtznf6v7opFRXo+H6jvoVfgUt1/zckvxJUfLnF9DvuTfKmpk6Xt+87dYfsstMt7a5dG1ZvC4bSCioftXcJzba5uYxdi6d5TGG5Q3N1XY2bvdqlB0uGt+ej8zgJsOpzqNkvVTHBRoWQa69XJMfM8nd9Z4LEm1q7j6TidoVz/lLwIRlhnYJBn6n3dbD0MK9Sj/0ava9YV79pO/HtOZGDp3lPIyy9Ev1a1HH/Xrt2tTsNTaOeMejJ+/l5sPZqKqfd2dtymnlqjtuaA8+dnFMBYtf8MHv9pE27o4G5VX9sFW61KtlGTAwafI2BLv5+wYJ9uBou24KeZomBSSqfPbtrmo7isXhXH/xNTMhxppPmFElGRtpoUFVQjFb9vMDc3dsIC5w7G6fM5qFGhjKnHArYpO+oRbSOXjJ6DHfaRM3cfgbpDuMVN8M1Myq0vjpzNRP1q5VT/z8I7s3dhRsIxpwuMJXtSXOa2JhxJRe1KsW7TETOy8y1lVXlithOv5ulCSZv+rJeybjRa5wv1p2bUAfbp+TVfy/qks+gc55r9pqxw8t3qQ3jDns0mpXS62Nx6NBXly0SZrgGgHblWKMcqs0HX1fvPWK7l8PD3zp2qE6rMDuW9Wl2lYmZCsksn2B1l9FB9fPrbPqL6wTxz85IPnr6Ap3/dgmHt6mLU9O2IiYzA+zdfhgkL9uHM+Vy8dV1R5qF22oXR82nlFxRi9IwdqFY+BptGDTDVLiOLd5/CTR3dZx76Sl0T4ERatukaEtqLjbj4WV5leKn7GT+tPeQyxUThnF3ifYf83f92o1q5GHy0YC+SU7Pw7k2XmXrcMjdF/k6kZ2PCgn2WVjwxM6VImep65Fym0wpgnigXzmZGcwNN+z5Hz9yOGVuSdWsJKMeDlftP40MLtQa+X30Iny1xDdDf+PkqR2aAp6wNK1Izc1FFncKhomRv5BYU6hb1zisoRIZmwEq9tLF2aqkebf2lGVuOOUbd9ShfgTpLVUAgOdXWNzFDW1B5ZaJzYPX5PxLQv3VtVC4bjcSUDAghnIKvRu/KaVq8qZYAEV5mr4aav+rzAMDsbcdxW+f6uFVTO03p36uLdJfEDAwGMIo57bxlwHke1vmcfK9S4QCgn07EVqGNUFpxLDXLURl9vCqVUI/RxcG+k/onou3JrssuJqacx5RlnkeeXaZ4GBxJc/ILMWvbcd3qwGr9PlyK7x7sgg4Nqro81YKdJ3EiPRu3da7vuCgxSq9T22cQCFGOTRISU5cfdDohfbMyyTF/EoCjyB9gK3aa+M5gl86/tyty9Bi3CDd2KOpsHzmbiXpVy+KrFQdxc6f6qFw22ml+3qWaUQgj6voHyvxgPeoAxheaYkYnvEilf+LnTZh0RwfLj/tqxUG8dk1rpGTkIDe/0DEP9twF54tGvWVCh326EtGRAnHVy7t9DSsXfgqjzsEfJlZOsSI5LdvSUoT+pO4rW+kAe/P8gK24YuKYIW4fU1goEREh8Jum7os3ARy9UVAlcDFrq/tj0sCPlqJPi1q6K9N4YiYry8qqCwAweoZroTwz27VRIMeIXqsetmfe5RYUOjrmVjqXGw+dQ6e3XWvM/Ls12bHvnr2QizGqY7G2yKkZQgR+mUL1eWX1AS+Wi1Tx5rik5mmZcsXEhfu8HoWVKLrINPrOtdmuZrdtK8Fgvfo06uPLnpMZ2GbPGvA2U3GDh+VZ4+JnOabdnc/Jdy3u6wd5mvohF3I872dWjyXuVkT5ff0R3NK5vvONPlzQbT+Whqs/WYEJt7bDde2LBrLMTk3crbMUtjo4oM100LNFk1Hz7aokfHCz+/404Lp/alcWAoynqLoL4CmUY7MyLVRNCAEpJTYfSUUH1RRDpf8ppfnt3N3XN+zTlahWLhqf39URsdGRbp9n1/F0NKxezu19/GXwx8stL2/ryfQtrueUf7cex6Q7nG8rpvEetziFpJiZrblo1stSULvVQwVod/afuuBSCFPhr7WJt+pcwKnppfFl5xXghzX6aVxpWXlOkWzAdjLQVu3WOpWR45KGl+fj0o8ZOfm44bNVuu/hoe83YOT07fjQzSoBVky1d4TyCqRLNF17QtisOfEd8eMITW5+oVNw6/rPVmLV/jN4e9YuvDptG1bvP6Nbk8CMhCOpHjuH7lJyu4/VL3blzr8eLgiNfLsqCd+tSkLXMQvR873Fjv3WbOc+r0Ai22AeuK/0Oqgl6dymBHCNpkd5Ehc/C6v3n8GZ8znYdTwdhYXSMSd/78kMl8yY/EKJ9UlncfuUNYav+fnS/Vh74Azi/7ZWVFePXsHDc5l5WHfwrFNwUs/ek+e9Cl6YpT7WdHZTQNYT7XKsamcv5FoeTdLLTDGaQpaWlWd66qTeFLonft6Mqz8pOsapP28r1esVQtiOfYGkLkb77G/eF8LzhVFfxqiGwE4fLgQysvMdtcQKCiUW73HN+DAzoKDHStHb4zrZGhIS5+wZWWYL8BrJyM4zVZus//hlOHTmAi59ba7hEvC+0A4Oedp/4+JnmZ7GasYr01yPu76MSCvb3gr7lJWs3AJk5xWYKhAOwGXVE29MXOT8HN68Hb3PYPa24wEMmEr8sOYQbvhslVPND8VnS/abXtr3XGae8+pSKglHUrF4zykM+Xg54uJn6U7RBWzXEoM/Xo7Wo10H0rTZz+4kpmQ41Woy4u/ghRDmAz4n/VjzLVwwA6OYMbOqxDJVkZ5ALgXpD9qlsbSmLDuAEUNaOf5/PC3b7RQFKWEpzVKhl06tZIn4ymgOJGAL0BTV9fD9tKEuEKbYdsx9kMhdpo2vTp/PdWQJ/bv1uNcBAcAWVQeAirHGh61ARJmf+mUz3rvpMsRGR+J8Tr5j/rwn6uwKve/FE6OpTr6Yv/Oko76NWklKL9x9PANSSvT1Ybt+8c8E5OQX4lRGDoa0qeMYEXv61y347+meLve/2V5/aH3SOdSrWhZVykU7dSwW7jrp0wWXJ0bL2PrLOhPFyQA4pUX7Ml9eWxNBrcNb852KeZrx9yZz++yxc1m475t12Hw4FQfHus+qCRYB4bTiQyB4c3wCzG8XZny1/ACeG9jC5fax/+3GI72bYM+JDL/WS1Io2ZQf3tzWaeUzb4+J2qmo7hhNFdilM0LvzXtv8/o8z3eyc7fcsa9u1tRnM/PRaqen+kIvm8OnU57q6dYnnXV5f578t/2EL6+uS/sOzbw/vQHExwzqz5iVlpVrWLdtwa4UXFTZNsXMqF/8t4UsNU+Zowfs0/tWJp7GbV0auPzd7UqHFuhlmwSL0XHhkE7BXfW09pKAAYwSSF1lOsgrfgaEOhL6yA8bcV+POMP7pnjZaVYXEvQ3o+XBAJguyhVIPiaaeGQ1FdQTvWlTikd9PPnqmZmQjIqxUXjn+jZ4feYOl3XBjXiTLh5oeiN+QMnKwPhhzSE0rlnepwCQet747G3OnU31vFKtw2cv4PYvbfNR1TVyNh1OBTSZT4MmhK7TY5VRhzRUfF1W1chq1XztcDl3egpAm9Hs1dme7+QF9XKZvkwrBWwjyupaTWo7ktO8ztwzy5clGL2lrWMA2GqQ6GXqvTbTdbqVP/nrYq44cdc303M8LctxAa7wVxDP1+VtNx9Oder7azNtg8XTxbySPZ1faCvY6csKXXoDoI/qTCvbciRVN4BREhgNfCorCqq9+OdWfPdAlwC3KHg4haSE0WZcmK3qX5x4ytoorkrgVwUAplLrwp1SiMrfa9KHmrKe+VkTacbFia8V98vHuJ83a0SdIedp1N/XDmtJpldVP9hK0uFYW4MgELSrQnjjr036weEHvtVfwSuQglHDR6+Wi15dJMD32iKeBDNg588V3syas/0EklOLAm6d31lgeYpO97GLnKYtSOn/aQG+UC99HehC5b5669+d6PCW//cxveyWX9cfwQp7Zvr+U+ex2sMS4SVVSTqnAczAKHEGflR8RvXIOcBkdmSfgs+oFkxxN37+XjzVrxnOu8lqKY7+8THlvkH18mHVMaXgK2n7RHFglFpfEudvA74HWosro1VmAklb8DU7z7uMk6ETV2DU1a0BGAfcyJxzmXm4/jP/r0Sm54i99lc/e7b1W8Mu8TpjO1xk5xVaCjwaFWctrhjAICIqxR78dj0aBKkKd3HB4AW1fdN8/QCi4k67jD0Zszr1hIwFa6rLq9O2OWWJjdJZAas4+sPCwGdJqnUGcAoJEZFpS/Z4XkasuFm4OyVs5vsThcJLHlZvISKi4quEJR8QGMAgIjLFyrJaxU1JrStDREREVNr5UjA1HDGAQURERERERFQCXdmiZqib4FcMYBARERERERGVQKtK2OorDGAQERERERERlUDzdp4MdRP8igEMIiIiIiIiIgp7YR3AEEIMEkLsEUIkCiHidf4uhBAT7X/fKoToEIp2EhEREREREVFghW0AQwgRCeBTAIMBtAZwuxCiteZugwE0s/88DODzoDaSiIiIiIiIiIIibAMYALoASJRSHpBS5gL4FcAwzX2GAfhe2qwBUEUIcVGwG0pEREREREREgRXOAYy6AI6o/n/UfpvV+0AI8bAQYoMQYsOpU6f83lAiIiIiIiIiCqxwDmAIndukF/eBlHKKlLKTlLJTzZolax1cIiIiIiIiotIgnAMYRwHUV/2/HoBkL+5DRERERERERMVcOAcw1gNoJoRoJISIAXAbgJma+8wEcI99NZJuANKklMeD3VAiIiIiIiIiCqywDWBIKfMBPAFgLoBdAH6XUu4QQgwXQgy33202gAMAEgF8CeCxkDQ2wF6/Rrv4ChEREREREVHpEhXqBrgjpZwNW5BCfdtk1e8SwOPBblewlS8T1l8TERERERERUcCFbQYGFYmK1KtVWnrc3qVBqJtAREREREREIcYARjEQGVG6v6axN7QJdROIiIiIiIgoxEr3lXExERVRujMwSht+31RafHBz21A3ocT4+LZ2qFe1bKibQUREVKxcVDk21E0gixjAKAYiBC9oS5NAf98f8qIxrAxoXTvUTQiZdvUrh7oJJcawdnXxxrWXOP5fu1KZELaGiPytZ7MaoW4CAXimf7NQN4H8bPrjl4e6CYbmPdvLL8/TvkEVvzxPuGAAoxioYxAZ7N+q9F74BEPfFjWD/poPXtEIEjKgr9G8dsWAPj9ZY6tFXLpVio3C0MsuCnUzir1+rWojYfRArHmlHxa/0CfUzQkb60b0c/p/oxrlQ9KOd2/033TITg2r+u25yJleR9/b/tbLg1r62hyHprUquNz20a0ckAiEjSP7Y9OoAbp/a1zT9Xvo3Tz4/UVfVSgThSualt6g2INXNHL8XlBY8vthLUpY358BjGKgXX39qNnNneoFuSWlS6e4akF9vaRxQzHqai6Zq9j79mCXjmTriyqFqDWBU7lsTKibEHI1K5bBp3d0wE0d/XtMu7RuydtePKlcLhp1KsciGHGx4jIiXKuS8yBAdIgKY9/a2X8FqQOZqPft/Z0D9+TFgN6+8+wAz6PuT/dzvU/FWP+tIifg+qVXio322/NTkeoVysBoNq/ezcVxCsL2N67CS4NahLoZIVOo2tGz8gpC2BL3/HUuL2ljZQxgFBPajvh17S42DGxYMS4MC2SWi4kMWqqTu3oT6uhsMCkHmYGleGpB3xY1ERMVgWFtL3a6/dkBzV3u+3jfJsFqVkDUr2Zct+Cb+3y/kGh1USWMv6UtPr6tnc/PBQB3dvXPRdg93Ru63PbaNf4N4AVqVGzK3R2d/n9Tx3poWL2c357/qSub+vwckUGopaO3P1oRqkyIQgnMfqqn6ftXLRd+F4lNalZAlwAF2VtfXPoCf2rPDmiOstGRXj0uUOpVLasbtCppFyXFgfYjf/+my1Auxn+BqmB4rI+t31Satx/1e7+4cllUKReN27vUD12DDBT66Us6l5nrl+cJFwxgFBOXXOQ8V/yubg1Ru1IsWvk4Ij24TfilbT/bvzmmPRa6+WiVy9o6q9GRERh/i2/pme9cf6nbv1/fvq7h3ybd0cGn11Z0a+zcya1UNnxPtM/2b44Jt7bDlHs6AQDu6R7n9He96RYvXuW/FN1Aq1e1LO6wEACI8MNFaINqZXFDh3oY1s54W7PiaT/O/9V+nRXDfDSxarloJLw2EAMvqeN0+wc3t8XY680Hg++/PM7t35/u790FlFpsdCT+GN49oFkSvm6d12gClP5wYMwQNK7pPjBSKKXpi/Q+LWqiegXz9UT+ffIKx+81KsS4PcYDtmPCrjcHYVX8laZfAwBev/aSgAWplHOgWQmvDcQlJSTo8cfw7ujdvCZ2vTXIcdvIoa10sx98kTRuKP7X0/wgSYcG+lOGejYvHllQ3qhZ0bc6Pt4G7RNGDwRg/vx7c6fwu+j15CX71CZ3l8ZJ44bi14e7BadBPurZrAa+f6CLqfsqxa7V55+yMZHYMnogejev5bjt3u4NfR6Y8MdAs7/M23ky1E3wKwYwiok3hl2Cvx7tjhcG2iL8Sl0M9UhgxTLmL0wrlInC8pf6Wu6oKG7Q6ZTpdRq9SXPt16qW5zvp+OV/1g+0egfv5S/3xb9PXqHbOTR7gFTc2dV1lFlNr2Cn0iYzn11MpPEu3LNZDQxoXRs/PVT0ubx342VoWD00o55mPN2/Ga5rXxfR9vel7UCUjXG+qPP3ErtrXimaKx+IuaFXNK2BMZoLXXcd4zJRRd/vCwObY987gy2/pr9HWGpV9H+qrAjDQsV6hbNeGdzK5Zg58fb2lp/7pata4rkBzXXnpF7etDoiIwTeu+kyy8+r1TmuGsrF+BYIccfX703JtFNnyvzzxBVGd/eoee0KLscMvfOilX1CSv1AzX9P2zI4mmnqEqgv5FfGX4mPbnV/ERUbHYmyMZGoZPFcHBsdaRjA8DWwYfVivXLZaJfzVY0KzlPj1NlkV7b07hyv5q+MMrU6lWLRWZXVMsgeqHyoZ2OPj518l/6AQ6uLjOedFxSab9vd3Rvq1j0pExW4/TvUZpgorNilkXEWkrfHp3JlbJ9ppdhovDnsEpfaNepnXWuvrxPo2mWKT25vj2mP9fDqsXp9dKMaXMtf6uvx+cIpuFFQKNGreU3drOo3h9mKW3eOs+0/TWtVQNK4oeiosz+psx36tKyFSPs2VLtSGd3rHk9iony/zPZX96h5bdfaLcUZAxjFRGx0JDo2rIbH+jTFulf7oV5VW1RQucCpUaEMvn/Q/MX1Xd0aon417yOL7VU7frmYSGwc2R/dG1d3uV+zWhXQy0MatzIfuUq5aCSNG6pbIMnTKBYAdG/i+vqe1NHMjf78zg6oFBuNS+vaMl60IwCX1bO+asKkO6xf4ADmRjdvc5Pu9sODXfHlPZ0QGSEcJ64OASj81qZucFaSeLRPE5eO+e1d/DenHHAumGu1Q/L6Na1150Ar2tavgpEWapx0aFDFKYDxxJXNEB0ZgUd6ee5Mq7krjlkpNgprXumHjSP7W3pOK7T1BrQZQcF0tclCod/e31m32G2ZaNdT5rXKKI5mh9WbIqMoGxOJp/o1c7m4ubVTffzwQFdTbTQrkBc4/lzyedpjPfD9A13QxotjrOLj25yPtdMe64G1r/ZzuZ+noIIV2mOS+qLJzIpS3nyEI4e2sr+W8+3v3tgGD/dqjMf7BGZaXY0KMdg8agCGtKnj8rdmtZy3Ze3IY7XyRQENX7OLAODqy6xn71idojbx9vaOQo6evspBlzofW9a/2h9rXumHjg2r4at7O+k+5qpLzE8T7RxXLSgZs3WreLcU85xnXKdkeTOoZNXvj3T3+bHac5R6v72ne5xTX7lLo2ro27IWvrm/M2Y8fjlqV7Ie0PdlcOSathejvUE2jicLn+uNGzo496WNzg9mrg88DYDe2qk++gS4GL4y3TLfXoSzgk7NmXu6xyFp3FDHtHB3A3/qYHp0RATK2wPgPz3UDeNvbYdtrw/EOp1zipEmHrIBrahgYZBaz0wfBgfCEQMYxUxEhHAeAXUcZyXaN6iKVwb7N53ezAnoy3s6GabYSmkc4VWWooqOjMDIoa3w53DnqPL8Z3th6Yt9ANgCOGYoqX/uxEZHoJ99BOjGjvWcRoa0HYSezWo65mlrD/xmqTtaw3s3cUSDjVhZlcIfHUEjyvSkJS/0wfDexh3iGzWfS4Nq5fDNfZ29zu4x8sLAFoZVlJPGDUXSuKEen+Ob+zs77vvrw93cVnC3mrlw3+WNnOZAv6X5nqc/1kP3BGTUMa5aLkZ3BMnqSG3PZjVVvzt3nC5vWgN1KsdaSpG3KjYq0vGZJ40b6hjVBNynrz6muQgz27GOU6V8KvvHY32a4K9He+i+3rIX+6K/JuurTwvPI8SeRjNa1KmIns1quJ3mN/YG5yyLV4a0dGQQ+Gs8b4zJLCXtucPM1BNP0wYe7tUYq+KvxHMDmuPFq9wXi2vfoKrHYDcAtwE85bNW9pqKsVG6c9OVi+sFz/XGI709BwSV7+JT1bQ+pWq9u1FeM7EJ5WLJSiBDyQjQBu1v7dwAI4a0cmqTmc8UAH5+qChwZvSWoiMjULV8DC6u7Lovjrm+DX56SB18sz3JM/2bYVX8lbYA7tBWWPR8b1Pt8SQyQlieHnX/5e6nbGjfd0xUhCPwUt3+r9mLiJoVyzgC4v0MVjDpqjPo4w0z5z6Fu4uvpHFDMcHLzJaoiAinoNXvj3RH9ybV3V7Afv9AF8x4/HLDPpEQwIghtuOSmWKok+9yrk3kaZfq0qgaksYNxQeapeW1j1NnJP38UFdUKBOFvi1qoa3q/VrJdOvqJmtEq3NcVfz2cDeX7c6bGm1CCIy/pZ3T9uIuQ0hLeyzx1Ee6vkNd3NzR/fSaxjXK62ZyqAcL9YIAS1/sg/nP9sIV9v5NoXI8dvNaOfm2lCd3WRHly0Rh48j+ePLKpujRpDq+uLsjnh/Q3NGGirHRLt+FUq9OLyusennnvtXlTa3t81ddUtux/V1cJdZSQEh7XDB7HVVcMIBRwjzi5kLzFoNVS+7p3hCPGozYeMpquLNrA1zuIZpsFMlVOmFS2n7XLhHWrHZF1XQHc935yuWicbOHlQw+v6sjPr+rI57t3xyP9WmCvh7SWZXVXvq2qIUq5bxfMeKWTvUQP7ilS10HrS/u7oSujaqZSgPub7LQpxJx1uuYvjK4JZa+2AfLXnROGfzv6Z5IGjcUcapCe3oVqxtpMmbKRkeib8tamHh7e78u9RcZIVC9QhlLnTW1ulXKoq/qwrRb4+q4vr3rtjLA/pmaWW529lM98d5NlzldlCvu7h6HlfZ57f893dPwQsdo/6lZsQxa1vHvsldPaTJEPE1x0lKCA9te9xwoVBjtuQJFHSC9T6Z57YrYNGoAfv6f7aKoh8GxSNtpWKLajh/q2RjP9m+OZ/o3t6WL6jSmQfVyXtUSmv745W4vBqqXj8EPD3Z1TDUAbEseznqqaBREOyVK3VFWBzJ9SUOtUCbK1D6j/Whe8lBbpl39Kh5TtO/u1hAXVymLp/o1w+N9m5red7/QFElVe2VIK93b9ZaY9KRprQp4ZXAr04H/ZqqglfL1qAfz2mqyDsyksCv38aYI4PBe+udt9Qiy3gXKZ3dar6/UvkEVvH+T7UJPb2n3sjGRmmOZ7QNqfVElXGwPPj7UszEa16yAZ/o3Q4vaFV2mmejRZvk8cHkjPGcPFJvJcPGXWpViseLlvtgwsj+eG9ActSt5H/QdqpNJcWndSqb2j11vDnIEU7yhHgB7bkBzl5Wf1J+opwBlyzoVUSk2Cv/r2QhNapZ3GvBSpnZMvqsj1rzSD2NvaIOhbS7CjjeuctynV/OaaFu/Cmq5qXXxcK8mePu6S/H3o0UDXNq6BFtGD0DC6IEYdKnzebiKyeK7w9rVder/aDcr9f+jDEbvn+jbDM/2b46n+jXD29cZ1z5b/lJfPN7XfJHmirHR6Nq4Ola/cqXTsq5mspLN0DtGPW9QjLaK/aRu5wAAIABJREFUxcETdRBC259VpuVUiI1CN51A3swnrnAMND7T37U9DauXR7PaFR0DZUbXGZtVn1mf5rXQsk5Fx+ApoJ9FWL1CGTw/sAUiIgQurlIWT/Zr5jazbso9nbDsxb4Y1q6ux3OJekq3nlhNlue9PeKc/h/tJnvEnSDU9A46BjCKO0ev0/PWqS5Oo/bmsEtdRjv9RQIYbZA2r+xQZlL1lc5i+ZhIx0X0jR30AxVvDrvUZZUAtb4taiEmKgJP929mKiL5cM/G+OzODobp5+opIsqI0DP9mzm976RxQ/HeTa6j/XrL+Q1oXRu/PdIdQgg8YXCi6928Jr6+r5PTfF13vri7Ix7r0wSNNVX/k8YNxSO9m6Bh9fJo4GWxInU63mN9muBLewHO3s1r4s9He+hmiSgjNX1b1PQ6IOFOnUqxLmmCZjNblKlQ7kbalMBC64sr4ZZO9TFZtb3Nfqon5tvrJ9StUhZJ44a6vUDu2LAqksYNdXS2lE79vT3i/B4x7xxXzWkbsDonUlkGUltsU3kPSeOG4uDYIW6fo3sT2z5ylaqzaXQdUq18DHo0qYEpd3fEm8OcO4XK1CVlOp2e2OhIPN2/mccAwFP9mpkKGKo7D+ViopwuBqIiiv429oY2uEoV1Jpwazt8eU8nXN++Hi652M0UCVUTGqg6ZO5SXt+5/lJHppoZt3dpgKRxQ51SvpvWquAymuZtHQV1p9XbaYpX6QQE3WlYvRwWPOf9yL67wP/NnerhPnsnUp0uXrW8bR/oElfU+R6qmVqhfISx0RG6F63q+3gjIkLo7jvKbU/0bao7AjpYte8pmYW1KjkvG1mjQhl0bVQNj/dtgqUv9sG0xy7HFfbzm6dMBk+a1a6Iuc/2ciwB+vFt7bDw+d5IGjdUk8UBxA9uiaRxQ7H4hT6Y+cTlGH1Na0cgVpnDrg4SmjX/2V5uLzT11KtaDrHRtulfvqw6MV4n889sxl/ZmEifi1sqHryiET64uS3a1qvsyDRVb0/qKZG//K8b3tJ8XhdXKYutr1+FV4e2hhDCJSAL2I7BdSrH4vYuDfDpnR0cKfnO9HcCZYrvXd0aOg2kaD+rKuViUFknWHFF0xpus0fV1P0f7UW90k9zl/FTNsZ2rnluQHPc4WZqa/1q5dwWB9VmGra395UqxkY7TcPyJ+2gn3qqsZLZAOgPRhitota7eU2Ui4lynA8+1wRNB7a2HYPMrGpWNrooi/OfJ65AvCpI0KJORUy9p5NjX9Z+d1VVn1nlctGY80wvNFVNd1v6Ul/8Mdz7aUgKZftxdy7R0ivyr+0vOw9qGF9PAXA7YPjvk9aPkeEufJcjIFOsFHxs4KYzabXYkRKJrWEi9Tw2OhKf39kBj/6/vTuPk6I88wD+e7rnPpl7OOZihplhuJnhmAEGhksOBVfFCxEQ4kY0iEQRJRqPTdaYbI6NRmM0SqKumywxujHBBBcUTFAR5VAwEbkUAhE1ICIKvPtHVzXV3VXV1dd0z8zv+/nUh6amqrump7re6ud93ud9YrPva4ZQKExvsG47t8HnxnpCfTFe2HnYZ9v0FHfALAElOak4dPSk49czSnK7MM1w81lfmo2dfz/m/b/+RfeqUVVY1FaNlX/eg8Xj+9g2UmX56dj/0QlcNrwcT72233K7GybVYubgHpj0g5d81q80FBNNSXLhi1P21cAqCjK9VafDYQwyNVXkYdPej01/ZvYaejX3yuXPAfAETdbuPIz5j72GM9HKk/ez8dYJ2LL/E8y8/2XH+6zSenguH1GOw8dOYlFbNe5b+67PNvdeOBDVxVmoK83Gx8fNp6SKdApC8aaUi2FdBM/n9/9z+pfigXW7cNM5dSg2Gb/rElj+XayCjcbgkP+1xD9wVFea7Q1avWP4HNnx/zwDnpvvvt1zUGfIUtF75v7t/P4hVf9Odrswt7kSP395t8/6iX1LsGaHp3L3onHVtlMbN1XkYfH4GlzRXBFQ6PR8h71lxs+xPs65KDsVSil8anH5CjWLRldfevY8fXpRCx7fuC+k/a1SYVfOH44hd//Jcr/H5g/DvEdf81kX7DJQmJWCDz8N/Lw9sXAEZj/8iuV+kRSwrSnO8gmKXDHS933ulZeBNUtbUVGQ6T1v9M9sRUEG9h75zPtZ2Hm3dfHdSLMIBJ73b9e3zwYOjZ0DZpkpIoIfXjIYJTlpaKrMwzVjq1FTnI3eRVl49/CnAIBNNnVxnAW3nP9e/XrkolrL5BtVU4jnl7TiV5v245ENu71/Q7Mpd69rq8GU/qU+2XL3XjgQj2zYjbb6Yjz44i4AnjTsOu1879cjB28dOIo+JdnecfOAJ7vsG9Od18gYW1uE3R8ed7y9kfG8nD6wO57betBRxp9OP6+M2VxO3Ob35Uc/jGcMY+PFp90RjOydj43vfYTm6gI0Vxfgtt9uP7t/lCpE+38E2uqKkJbs9j0Wn+MO/rrF2akQESyfWo/lU+tx5NOT2HPkOBas3ITr2mrQJ4T3e0hZHhZP6IMrHM4gFsnsYQ9e0Yjz7tsAwPO+WGVrOJla87++MhK7PzyOW5/eZrudXaD5VJCbtPXLxnvv7XRF2aneIGNZfkZAJ1VGiht5mSlhdV4N6JUbUCfJmIkc6jvfs1t6yHVfnF6yH5nbhM37Prb8+ewRFVjx9Hafdf73T91z0/CFodpvWX4GfnjJYCz57zcDnu/Klkqfe3Ojzjg1NjMwOji7FGx/A3rl4tJhwad70sfy2QU8zh3YHf8xaxCuG3/24mr2oda/RJgVn9K3T3YFPw0na8WuhpTnoac2BVJ9aTbud5AK+7uvjcYrt0avSOFvFrXg1RUT8Nzi0Xj9GxMxtrYI3794EJZNqUOhIfXMTqbWexOsZ9jtkuANbTsUvx6nZe+0VBdGNIxG7/0v1tJvoz313pbbJ/ukDBpZpX7q9DG2acluLJ9ab9rDdvGwMjRW5CErNSmiIrhm9KFFmdrnT79Je3zBiIDhPVY23jIBN/ilW/qfY/qZaXXzqTegC0ZXBdQtKDSM51x1TQvu0eorJNl8hv1TII0iqdwuAp/gBeDJfgE8Xzb7mxSXtXs9s+FRD2vF97JSk7BsSr3tOeRyCZZOrgt7lpYFo6sCUupfuXWCo2rwkcpOS/a+N3oKa/fcNDTYZA4tneR5v1Zd0+xzzuUF6SV0Ul/E6OXl49G70PdLeI72WdWHJgSMWY/C0AInz1BTnO2TlaMHI379r82WhRv9GWsrXdsWeiakPhbeeLx6IeyqQusMq/OH9ERzdQGS3S5vG/PkVzyFn0NJU7aqO6X3WjsbRuP7/7rSbG/6+Aibor8ulwR88b94WBmev6HVp5f2p3OavMNOfv3VZryqzRxhzIxbd1Ob4yGZgKeQ6uMLAgvuNnTPsa2X9dWx1T7FmUdqQy0yUwOzF/xnv9A9MHso5jZXoG9p4Odz4egqbLjZ/Jqhnyv6dcZt8rcRv8ePzR/unWnDX7RuPfyP4uuT6/CAfz2LED/T/udwQVYqGivy8ebtk7FwTG+fYo3BuFyCpZNqTQP+VtbeOM7xtrr7Lh/i8+W8tjjb8l7SSeyoubrA0bTtAYWI/Z5j2oBS0yKtVl5bMdF0hg+d2QxfuuzUJG/QNZLzK9xitE6kJrlts7x1xto317XVeGe5+9mVTQE10nTGLIr1y9p8Mo90Vh0iZmfKyquGe4s+dzYJmYEhIvkA/htAJYA9AC5WSn3st00ZgF8AKAVwBsBDSqkfte+Rxp9+0+n02q5/6QoY42d4rEd27W5eRQQXBqk18dzi0d5eFTNpyW7cMLE2YNyimQl9SwzR2mz89tpRGNgz1zZQ0C0jGZ989mXU0/AzUpIC0scvsBjOEozTDoxkt+DL0+Ybt9YWYs2Ow6Y/s2M3g4D/GNPm6gLLaLnTKtwvfH2sN2OnX49cPHvdKNtzTJebnox/nvjS0WuYpZHqHps/zHT9Sze14clX9wVMhxhLL93UhtbvrvVZt3RSLZZOqsU5WraNfm6MDqFQXWlumjdgcWVzBS4bXh6Qsqt/6a8pNg+MtfYpxKPzPRk+Z84ojKopxOMb9+J/Xn/fZ7vGijwMKeuG9z48HhCkeOmmNmSkuoNmaJ0NwEZngKZ5enLg6y2fWo97/rDT52dpWpqqv3U3jgu5cGo4/HtHgbOfrdLcNNMMhGjS35t5LVXeL3+/v36MT+/aXTP74fZn3gJw9qa3sSIfjRX5KMlJRXfDTWP/ns6Dk3Z//Z7d0tHQIwev7vkIV2lDF9bd1IajJ770VpwfURV5McQ990wP6Ek086NLBwe0KXObK7DyL3u9mQ/FOWmY4PC6aJxJKSct9PNsxfQGrPDLHJg2oDueXtTi7UDYdsdkHDr6OSZ+/yWzp/Aqzk7DpIbQAnBW19y7ZvZHaW4a2myKzhXnpOK9D4+bDpFqqSmMyfBCvf3WleWnY0EYQ2KS3C7Ta/PvgwxnWe43Rt6bRev3KVh1TQsaK/Jw86rA3vPKwkzcOdN8+IvbLT7D6u69aCCW/c9Wn23WLxuPvR8dNx3yYQwUZKS6kZbstryHitYU3YFZeybbOHyuzbdNwh3PvoXrJ1rPCNYezDKGrPTvmYPtHxwNaWadaPZbzR9ViUNHP8e8lko8+co+n+KyyW4XfjLb82Vd7/SYObgHnn/r76gs9JxnG25uQ4rbheHffsH2dVZd04w39n1iOuxzYt8SFGSm4DsXDQzoXAknHv34whE4fSaEeYpDNLlfKb43axDyM51ds9OSXd7aQZNMAqV77pmOHQePorIgE31vXw0gMDPG7m/e3aQuEeDJFAslWNeRJGQAA8ByAC8ope4RkeXa/2/22+YUgK8rpTaLSDaA10XkT0qpt9v7YOMpTZsCaWAv5+nSQGADYbxA6J/5SOaSryrMtBzrvXhCH+w8eBQAwm5kjOnhTywcYVqsae3Xx2HNjkPeaO6j84ehLC92UdlQ6A22gsKapWOx7yP7VNTXVkzE51+ewch/D2wg7rt8KOpvWx3S6/90TqNtgcgXHfT4t1QX4NQZZRukMvLfzuk5+7uvjcb2D/7paFs7ZtPzAp6xi/43lbFmV29E/yyGe3OoByAzU5NMa2/MGNQDdaXZPkMIjPSbFcDT8zS4rBse37jXdFuXS3CrSVHFcOupGIVTWDMY/T21yy7zZ9YD0t5+Pm8Yhn/L/ubQKavL+szBPfDw+vdwiV+WXs9u6fjgkxMAPFlCegDD36WGL+Lrl7UFzcQAgKHleSjMSg0oLht4zJ6D1rPv8jNTvOPB1ywdG9Lf0ymrm+aZgwN7v8b0KcLKv+wNa3pD4+tYvebWOybj2OensO/IZ45nwTAeS3ZackDdmlgryk7FN8+zn3HrJ7MbsXbn4ahns4Vi/bLxEe1fWZCBPUc+C3t/q+u8XQ92KC5uKsM/jp3Ea3s+8q5LT3FbXv9rS7KQm56M1toibz0oK046n5xwUovJ6ZfY/MwU/Odl4U1dHy9PXd1sOSTVipMhJE5lpCR5a0w5mep9Qt8Snymr7epQGenBbjMPGzLWIsmgu3hYGR5YtwulOWmmAbpo8i+Aq9t82ySc0oZ9tFQX4v61uxzVq9PveWYO7oFn3jzgXW/2bqQnu3Hiy9Pezs3VS1qx/m//8P7cKqDRmSRqAGMmgHHa45UA1sEvgKGUOgjgoPb4mIjsANATQJcKYORlpuDpRS0+qdRLJ9Xi+3/6a0jPY7wWluSmYv9HJ8IeM3XpsDLcbFNvYalFheNwWc3ikJeZgllNZ2/G22xSl68aVYU/vv33qB6XnZ/MHorHXt6NvqU5cLkkaAV9u2Eb4WSYhFokz8y8lkrT2gTRVpafEdYNbiQzN5hxUu8lGr42vg+ufXJz2EEAfXpHqwwbEbG8eQUCZ8bw3TmsQwqL//AQwDOW/fm3DoX9nHrFcv9K34ku3GEpZqzOi155GXjDZDjAizeNw6Mv7/Feo9YvawsaXHP6ec1NT7astbDh5jac0rLOFk+owbHPv8RlwwOHQNpdOyO5xQ8lK2hiQwl23j0lrGuxXQ2M11ZMRG56MlKSXMhJS45pWnS0ZKcl4djnpxxtm5+ZEjST06mfzmnE4WPh1bmKxNOLRuHAP0+Evb9+vXUyTagTqUmB52Aos15kpCRhyzeDzzK18+4pPkNhIlFRkImdd0/BRQ/+Gds/OGq6jfFLrVKeTrJwa5AkmqzUJNPApN0sKnaFnasKMztFr3s4NVZumlyH6yc4K9AfK8Ziq6NqCkNuG35w8WDce9FA221eWtaGjz/7AlWFmRAEHyLdGSVqAKNEC1BAKXVQRGwHzYpIJYAhAEyreYnI1QCuBoDycmdFeDoS/16fxRP6hBzAOG24UDRV5OPHl1VioMkYcicaeuQ46n1LJLef14Dbz3NewCtSVTYpoB3VRIu57p3QC5lFU31pNu6c0Q/ffNa8xzgUa28cF/IUYsGsX9Zm2qhNH9gd0wdap06bDWcY06fQ2wut3wjlhni8j84fZvk7RrGzx/R5nXa4/HROE657cjN+t/VgWL00t53XgD4lWbbBzM4uNcQbuyS3C19p7e39f3v1lht79bplpOC7swJnbrASjThbqKdXuDfMZgGMvIxknFGeG+FIMiFj6dUVE3Dyy8AU7Re14T3tLRpB+XDkZaZEdL9z4dBe+Pj4F7a1gpyYPaIcT7yyD9na9X/N0lbsOOisSHI47M73cKZ5DeXzc8vUvhjdpxD/iHLAKiPFjc++OB3V5wSAp64eiUsf2uh4+7U3jsP/bjngM7zMn139sHDqbzihfzHPjHFmg79QrsUulyDNFb/ghZlQ2waXS5Bq+B30oGSRoROtKDs1arMRdVRxC2CIyBp46lf4WxHi82QBWAVgiVLKNHSrlHoIwEMA0NTU1A4lDxPLiKp8y8q0OuPUPRcO7WVawX/HXVPw5v5PTKf+pMTw6LxhOHVG2VY+jpQeFTd+gdx+5zkR9cb86JLB3oKQ0SIimNtSGZUARijjWZ0K94vg5cPLcfr0GeSkJ2Ppr7YAAH5pKCY3p7kCSW6xncrNjJMv9dH+5IdTxNNsj/+9bjSOnQz+pSkrNQkLx/QOul2iczLzkL8LhvTEb974IGZT8YUqJ0o9zmZ+fPkQPLBul8+UwXrKbaIxi09cOLSXo1TueLLKCjIO76Hg3C4JaepFKzdMqsXhYydxsTYErKY427LOUSSubu2N5mrroSU77poS0axZTkzXprQPNUgfzOrrW/H2wciHq/obbjN8YNG4wL99VWFm0GF1ZgH8pxe14PjJwGvcLVPro9KpeMvUvuhTko3x9e3TAXDnjP5I+8MOtFQ7rwPWGZUXZOB7swaF9L6bnVedTdwCGEopy2khROSQiHTXsi+6AzCtUCgiyfAEL55QSv0mRofa4d0xo1/AeHL/a1+y22VZMEsfA52e4rZtuIJpqyvC2nf+EXxDClubdoEzKxLkxOolY7D1ffsGfG5LJV7YeRhDys8GuZyOy7aS5HYhuwumwIXD7RLMG1WFDy3m1Ux2u7wzmkRbIkR/9UKHaYaAmf+0ah3J4vE1WPkX8xojlsL4Q5j11jyxcAROnmr/L/Wrl4yJ6ZCs+tIcnzHagGc6ZydFOtub71SRem2k2GirKwo6LSLF14LRVfjDNt9sRCdDhwqzUvGzK53NfBMJs5pHRk7rDvjPuAQAedpQ2aQ4dZKVF2REpX6TP7uATiTT24v4Zkc29MgxHUIUjQAZ4PnbzvGbTtqoMCsVs5qiMyQM8Pw9/Gej6WwGl3VDLwe1+azqbZiZNqAUc2J0D5hIEnUIybMA5gK4R/v3Gf8NxNPqPwJgh1Lq++17eF3LmqVjHfX2BRsz/OCcRnzqcGwshWZCfTFe+lvkwaH60hzb+ggA0FpbFJPq8LE0Y5Dz6t4dRXvV5Eg0K6b3Re/CzIiGLCWSpZPrsHRy4BSu/twu8dY3CYfZnlb1g2It2DUmEURjKtZEo88uRInrtnMbfGYk2nL75KjXc4q3Ld+cbJrJ+8NLBuN3Ww/aFhinxGVVz4is/fbaUfE+hA4rUQMY9wD4lYgsALAPwCwAEJEeAB5WSk0DMArAHADbRORNbb9blVK/j8cBJ7JIx6+np7gdRdVnDO6BX27ca5nulZrkRmpWYo1N62iyU5Nwjknl70fmmU8RSuhwwZZEFvUhJN4aGM6fOSs1yacmQ1eRnuzGpycjDwB3vq/l0bPqmmZ8evI05v78Vb5PFFX1pdneDINQ2E0N3lFZDf0oyEqNuBZIIrIa7hFpjRJBYmRFUmKI1nT0HUVCBjCUUkcATDBZfwDANO3xBvBeLGR6QbBY1AUbVpnPL4sxtu3Oc+J9CF3K6iVjsGX/J/E+jLgLp1aFE5na0KOKOE2jmB7HSuWhmtq/FL9+/f14H0an1liR752yOR4JGJ0w6SOuehdm4r0Emali9ZLWeB8CtbPpA7rjuW3mxcmHlOeFNe2ykWhjSH4yeyge2bDbdmYSos4mIQMYFDtzmytx4JMTuGac82m1iBLNsil1GN0O6e9OhtRQ+KoKM/GzK5t8auukuF1oqQm/1o5TT1090jtzS0fw7QsGeAMYY/oU4oWdhztUAKajiNWMO/6euXYUNrz7Yfu8WBf13OIxcanxQrHTkYYO/uCSwbhzZj8AnszBAWHO7BfMpIYSTBvQPSbPTZSoGMDoYtJT3Lirk03fSV3PIgbgOg3/grN//dbUdnndkb1jHySJpmRD79p9lw/FG/s+RoPNVHoUHj3bKFbZEL9fPAav7D6CQWXdMMhkti+g/YIonZ3T4a/UMXS0DN+UJJe3VtX2GGTP6pcoXi8IALK0mb2Kukh9NAYwiIg6qCtGluPxjfva7fU6Y2HDjuTfLxiANW8fQnqKGy0hZiAp3uXiyYUjUJJrPv2nzluXJUYjVBt65FgGnvSMoOri6E/bTESdC5tjMmrtU4jvzRqEcwd2jWwcBjA6qXktlXjsz3vifRhEFEN3z+yPu2Ywo6qruGx4OS4bXh7Rc3Tlm14nQZ/8TE+hxcaKyManh2Nyv1KsuqYFQ8vNMzOIiIjMiEhI0612dKz40kndMaMfp6Ii6uREBK5YVOT1M76+GADQj0MWqJMry8/AH29oxYrpfePy+o0Vecx0IiLHYlVkmyiRMYBBRES2zh3YA2/fdQ76dmcAgzq/2pJsn5ojRESJ5tZpniBrsovXKup6OISEiIiCykhhc9GRsQQGEVHnMX9UFeaPqor3YRDFBcN2ndiC0Z4LW8+89DgfCRERxdO/jq3G+PpiXNIUWQ0NIiIioniSrlaZvKmpSW3atCneh0FEREREREREJkTkdaVUk/96ZmAQERERERERUcJjAIOIiIiIiIiIEh4DGERERERERESU8BjAICIiIiIiIqKExwAGERERERERESU8BjCIiIiIiIiIKOExgEFERERERERECY8BDCIiIiIiIiJKeKKUivcxtCsROQbgnXgfBxERUQIqBPBhvA+CiIgoAbGNbF8VSqki/5VJ8TiSOHtHKdUU74MgIiJKNCKyiW0kERFRILaRiYFDSIiIiIiIiIgo4TGAQUREREREREQJrysGMB6K9wEQERElKLaRRERE5thGJoAuV8STiIiIiIiIiDqerpiBQUREREREREQdDAMYRERERERERJTwbAMYIlImImtFZIeIvCUi1xt+li8ifxKRv2n/5hl+douIvCsi74jIOSbP+6yIbLd53UYR2aY9x3+KiGjrv6qtf1NENohIg8X+rSKyWUROichFfj87re3/pog8a7H/LO33PSMiTYb1lSJywrD/g0HevxtFRIlIYSj7i8h3RWSniGwVkadFpJvhZ7bvLRERtQ+2kWwjiYjIHNtItpExo5SyXAB0BzBUe5wN4K8AGrT/3wtgufZ4OYDvaI8bAGwBkAqgCsAuAG7Dc14A4EkA221e91UAzQAEwB8ATNXW5xi2mQFgtcX+lQAGAvgFgIv8fvap3e+sbdMXQB2AdQCa/J7X8rj9nqMMwPMA9gIoDGV/AJMBJGmPv+P0veXChQsXLu23sI1kG8mFCxcuXMwXtpFsI2O12GZgKKUOKqU2a4+PAdgBoKf245kAVmqPVwI437D+KaXUSaXUbgDvAhgOACKSBWApgH+zek0R6a6dYH9Rnnf7F/pzK6WOGjbNBGBagVQptUcptRXAGbvfz4pSaodS6p1w9jX4AYBlsDjGIK//R6XUKe2/GwH00h5bvrdERNS+2EZGhG0kEVEnxjYyImwjbTiugSEilQCGAHhFW1WilDoIeE5QAMXa+p4A9ht2fR9nT9a7AfwHgM9sXqqnto/Z/hCRa0VkFzyRu8VOj98gTUQ2ichGETk/+OYBqkTkDRF5UUTGGI7rYT1NSERmAPhAKbUlnP39XAVP9BCwf2+JiChO2EZ6sY0kIiIfbCO92EZGQZKTjbSI1yoAS/yiV6abm6xTIjIYQI1S6gbtJA5pf+8Dpe4HcL+IXA7gGwDmBjkef+VKqQMi0hvA/4nINqXULof7HtT2PyIijQB+KyL9lFJHlVILAUBEMgCsgCd9J+T9jURkBYBTAJ7QV5k8J+fBJSKKI7aRXmwjiYjIB9tIL7aRURI0A0NEkuE56Z5QSv3G8KNDWpqOnq5zWFv/PjzjdnS9AByAZyxSo4jsAbABQK2IrBMRt5wtRnKXtn8vk/39PQUtJUhEvqU/R7DfRyl1QPv3PXjGJg0Jto9h35NKqSPa49fhGTtU67dZNTzjirZov2svAJtFpNTh/tB+p7kAzgUwW0uBAqzfWyIiigO2kT77so0kIiIvtpE++7KNjBZlUyADnkjNLwD80ORn34Vv8ZV7tcf94Fsg5D34FQhBkCIkAF4DMBJni69M09b3MWxzHoBNQY7/MRiKrwDIA5CqPS4E8DdoxWQs9l8H3+IrRfrvAqA3gA8A5Ac5hj04W3zF0f4ApgB4G0CR3/qg7y0XLly4cGmfhW1bnIh0AAABDElEQVQk20guXLhw4WK+sI1kGxmzcyvImzYantSSrQDe1Bb9JCgA8IL2x3vB+AbCk/qyC8A70Cq/hnjiNQHYrj3HfQBEW/8jAG9px7EWQD+L/YfBE2U6DuAIgLe09S0Atml/vG0AFljs/y/a/icBHALwvLb+Qu31twDYDOA8wz4PG09SixPP0f7wFFXZb3jPH3T63nLhwoULl/ZZ2EayjeTChQsXLuYL20i2kbFa9D8oEREREREREVHCcjwLCRERERERERFRvDCAQUREREREREQJjwEMIiIiIiIiIkp4DGAQERERERERUcJjAIOIiIiIiIiIEh4DGERERERERESU8BjAICIiIiIiIqKE9/+uhwv2B/0u9wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1080x432 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "timestamps = pd.DatetimeIndex(data['timestamp'].unique()).sort_values(ascending = True)\n",
    "\n",
    "fig, ax = plt.subplots(len(timestamps), 1, figsize=(15, 6), sharey = 'all')\n",
    "fig.subplots_adjust(hspace = .5, wspace=.001)\n",
    "ax = ax.ravel()\n",
    "\n",
    "for i, timestamp in enumerate(timestamps) :\n",
    "    data[data['timestamp'] == timestamp] \\\n",
    "        .plot('long_datetime', [sensor_name], ax = ax[i])\n",
    "    ax[i].get_legend().remove()\n",
    "    ax[i].set_xlabel(None)\n",
    "    ax[i].set_xticklabels([timestamp]*len(ax[i].get_xticklabels())\n",
    "                          , rotation=0, ha='center')\n",
    "fig.tight_layout() ; plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Notice above that the middle measurement has a tiny offset (~0.1) compared to the two surrounding ones (just before and just after)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br />\n",
    "<br />\n",
    "<br />\n",
    "<center><b><font size=14pt>THE END.</font></b></center>\n",
    "<br />\n",
    "<br />\n",
    "<br />"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<hr style=\"height:2px;border-width:0;color:gray;background-color:gray;width:80%\" />"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# EXTRA"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<b>Export Notebook to HTML (with Markdown extension cells evaluated and hidden cell outputs omitted)&nbsp;:</b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'D:\\\\jupyter_notebooks\\\\TimeSeries_Anomaly_Detection\\\\mongo_test3_sensor2_spikes.ipynb'"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import os ; from my_TS_Anomaly_lib.utils import get_notebook_fullname\n",
    "get_notebook_fullname()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "variables": {
     "get_notebook_fullname()": "D:\\jupyter_notebooks\\TimeSeries_Anomaly_Detection\\mongo_test3_sensor2_spikes.ipynb",
     "os.path.realpath('.')": "D:\\jupyter_notebooks\\TimeSeries_Anomaly_Detection"
    }
   },
   "source": [
    "<em>(to be launched from the conda env which holds the Jupyter installation, the one named '<b>r-tensorflow</b>', in our personal case)</em>\n",
    "<br />\n",
    "<br />\n",
    "<code>\n",
    "<br />\n",
    "conda activate r-tensorflow\n",
    "python\n",
    "<br />\n",
    "import os ; os.getcwd()\n",
    "os.chdir('{{os.path.realpath('.')}}') # to set working dirctory\n",
    "from my_TS_Anomaly_lib.jupyter_markdown_extension import md_extension_to_html\n",
    "md_extension_to_html('{{get_notebook_fullname()}}')\n",
    "<br />\n",
    "</code>\n",
    "\"Ctrl+D\" (to exit python console mode)"
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