examples/weather/chirps.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-23T02:41:22.236807Z",
     "start_time": "2020-11-23T02:41:22.179632Z"
    }
   },
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-23T02:41:22.293647Z",
     "start_time": "2020-11-23T02:41:22.245778Z"
    }
   },
   "outputs": [],
   "source": [
    "import sys\n",
    "sys.path.append('../../')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-23T02:45:13.465878Z",
     "start_time": "2020-11-23T02:45:13.231944Z"
    }
   },
   "outputs": [],
   "source": [
    "from pprint import pprint\n",
    "import numpy as np\n",
    "import descarteslabs as dl\n",
    "\n",
    "from src.ReMasFrame import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-23T03:12:13.717951Z",
     "start_time": "2020-11-23T03:12:13.497900Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>location_description</th>\n",
       "      <th>landslide_size</th>\n",
       "      <th>event_date</th>\n",
       "      <th>landslide_category</th>\n",
       "      <th>landslide_trigger</th>\n",
       "      <th>fatality_count</th>\n",
       "      <th>injury_count</th>\n",
       "      <th>longitude</th>\n",
       "      <th>latitude</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Sigou Village, Loufan County, Shanxi Province</td>\n",
       "      <td>large</td>\n",
       "      <td>2008-08-01</td>\n",
       "      <td>landslide</td>\n",
       "      <td>rain</td>\n",
       "      <td>11.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>107.450000</td>\n",
       "      <td>32.562500</td>\n",
       "      <td>POINT (107.45000 32.56250)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Lake Oswego, Oregon</td>\n",
       "      <td>small</td>\n",
       "      <td>2009-01-02</td>\n",
       "      <td>mudslide</td>\n",
       "      <td>downpour</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-122.663000</td>\n",
       "      <td>45.420000</td>\n",
       "      <td>POINT (-122.66300 45.42000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>San Ramon district, 195 miles northeast of the...</td>\n",
       "      <td>large</td>\n",
       "      <td>2007-01-19</td>\n",
       "      <td>landslide</td>\n",
       "      <td>downpour</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-75.358700</td>\n",
       "      <td>-11.129500</td>\n",
       "      <td>POINT (-75.35870 -11.12950)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Dailekh district</td>\n",
       "      <td>medium</td>\n",
       "      <td>2009-07-31</td>\n",
       "      <td>landslide</td>\n",
       "      <td>monsoon</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>81.708000</td>\n",
       "      <td>28.837800</td>\n",
       "      <td>POINT (81.70800 28.83780)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Paguite, Abuyog, Leyte</td>\n",
       "      <td>medium</td>\n",
       "      <td>2012-02-16</td>\n",
       "      <td>landslide</td>\n",
       "      <td>downpour</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>124.966800</td>\n",
       "      <td>10.700400</td>\n",
       "      <td>POINT (124.96680 10.70040)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11025</th>\n",
       "      <td>Marine View Dr, Tacoma, Washington, 98422</td>\n",
       "      <td>small</td>\n",
       "      <td>2016-11-01</td>\n",
       "      <td>landslide</td>\n",
       "      <td>rain</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-122.409942</td>\n",
       "      <td>47.290915</td>\n",
       "      <td>POINT (-122.40994 47.29092)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11026</th>\n",
       "      <td>Tamisk, North Ossetia, Russia</td>\n",
       "      <td>small</td>\n",
       "      <td>2017-06-21</td>\n",
       "      <td>mudslide</td>\n",
       "      <td>rain</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>44.211414</td>\n",
       "      <td>42.954914</td>\n",
       "      <td>POINT (44.21141 42.95491)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11027</th>\n",
       "      <td>509 S Sunset Terrace, Above Highway 97, Harris...</td>\n",
       "      <td>small</td>\n",
       "      <td>2017-03-23</td>\n",
       "      <td>mudslide</td>\n",
       "      <td>rain</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-116.777680</td>\n",
       "      <td>47.449165</td>\n",
       "      <td>POINT (-116.77768 47.44917)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11028</th>\n",
       "      <td>Banaran, Ponorogo, Jawa Timur, Indonesia</td>\n",
       "      <td>medium</td>\n",
       "      <td>2017-04-01</td>\n",
       "      <td>landslide</td>\n",
       "      <td>rain</td>\n",
       "      <td>27.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>111.679944</td>\n",
       "      <td>-7.853409</td>\n",
       "      <td>POINT (111.67994 -7.85341)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11031</th>\n",
       "      <td>Ayu, Ozgon, Osh, Kyrgyzstan</td>\n",
       "      <td>large</td>\n",
       "      <td>2017-04-29</td>\n",
       "      <td>translational_slide</td>\n",
       "      <td>downpour</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>73.472379</td>\n",
       "      <td>40.886395</td>\n",
       "      <td>POINT (73.47238 40.88639)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8359 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                    location_description landslide_size  \\\n",
       "0          Sigou Village, Loufan County, Shanxi Province          large   \n",
       "1                                    Lake Oswego, Oregon          small   \n",
       "2      San Ramon district, 195 miles northeast of the...          large   \n",
       "3                                       Dailekh district         medium   \n",
       "5                                 Paguite, Abuyog, Leyte         medium   \n",
       "...                                                  ...            ...   \n",
       "11025          Marine View Dr, Tacoma, Washington, 98422          small   \n",
       "11026                      Tamisk, North Ossetia, Russia          small   \n",
       "11027  509 S Sunset Terrace, Above Highway 97, Harris...          small   \n",
       "11028           Banaran, Ponorogo, Jawa Timur, Indonesia         medium   \n",
       "11031                        Ayu, Ozgon, Osh, Kyrgyzstan          large   \n",
       "\n",
       "       event_date   landslide_category landslide_trigger  fatality_count  \\\n",
       "0      2008-08-01            landslide              rain            11.0   \n",
       "1      2009-01-02             mudslide          downpour             0.0   \n",
       "2      2007-01-19            landslide          downpour            10.0   \n",
       "3      2009-07-31            landslide           monsoon             1.0   \n",
       "5      2012-02-16            landslide          downpour             0.0   \n",
       "...           ...                  ...               ...             ...   \n",
       "11025  2016-11-01            landslide              rain             0.0   \n",
       "11026  2017-06-21             mudslide              rain             0.0   \n",
       "11027  2017-03-23             mudslide              rain             0.0   \n",
       "11028  2017-04-01            landslide              rain            27.0   \n",
       "11031  2017-04-29  translational_slide          downpour            24.0   \n",
       "\n",
       "       injury_count   longitude   latitude                     geometry  \n",
       "0               NaN  107.450000  32.562500   POINT (107.45000 32.56250)  \n",
       "1               NaN -122.663000  45.420000  POINT (-122.66300 45.42000)  \n",
       "2               NaN  -75.358700 -11.129500  POINT (-75.35870 -11.12950)  \n",
       "3               NaN   81.708000  28.837800    POINT (81.70800 28.83780)  \n",
       "5               NaN  124.966800  10.700400   POINT (124.96680 10.70040)  \n",
       "...             ...         ...        ...                          ...  \n",
       "11025           0.0 -122.409942  47.290915  POINT (-122.40994 47.29092)  \n",
       "11026           0.0   44.211414  42.954914    POINT (44.21141 42.95491)  \n",
       "11027           0.0 -116.777680  47.449165  POINT (-116.77768 47.44917)  \n",
       "11028           0.0  111.679944  -7.853409   POINT (111.67994 -7.85341)  \n",
       "11031           NaN   73.472379  40.886395    POINT (73.47238 40.88639)  \n",
       "\n",
       "[8359 rows x 10 columns]"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nasa_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-23T02:45:32.194549Z",
     "start_time": "2020-11-23T02:45:13.924881Z"
    }
   },
   "outputs": [],
   "source": [
    "nasa_df = ReMasFrame()\n",
    "\n",
    "# Choose an idx --> a landslide (or filter the geodataframe :D)\n",
    "idx_test = 11031\n",
    "\n",
    "# Returns products that we use as a dict\n",
    "products = nasa_df.get_products()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-23T01:48:52.829866Z",
     "start_time": "2020-11-23T01:48:52.763046Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'bands': ['daily_precipitation'],\n",
      " 'freq': 'daily',\n",
      " 'id': 'chirps:daily:v1',\n",
      " 'name': 'CHIRPS Daily Precipitation Weather',\n",
      " 'res': '5km'}\n",
      "['daily_precipitation']\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(None, None)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pprint(products['weather']['chirps'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-23T03:59:14.319126Z",
     "start_time": "2020-11-23T03:59:14.245243Z"
    }
   },
   "outputs": [],
   "source": [
    "def get_scenes(product, buffer_size, res):\n",
    "    # Returns start and end date of a 4 day interval\n",
    "    start_date, end_date = nasa_df.date_interval(nasa_df.event_date[idx_test], delta_minus=10)\n",
    "    \n",
    "    scenes, ctx = ReMasFrame.search_scenes(\n",
    "        nasa_df['geometry'][idx_test].buffer(buffer_size).envelope, \n",
    "        product['id'], \n",
    "        start_date=start_date, \n",
    "        end_date=end_date, \n",
    "        limit=20\n",
    "    )\n",
    "    \n",
    "    new_ctx = ctx.assign(resolution=res)\n",
    "    \n",
    "    return scenes, new_ctx, start_date, end_date\n",
    "\n",
    "def get_composite(product, buffer_size, res):\n",
    "    \n",
    "    scenes, new_ctx = get_scenes(product, buffer_size, res)\n",
    "    \n",
    "    arr_stack = scenes.stack(product['bands'], new_ctx)\n",
    "    composite = np.ma.median(arr_stack, axis=0)\n",
    "    \n",
    "    return (scenes, new_ctx), composite"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-23T04:11:01.719185Z",
     "start_time": "2020-11-23T04:10:48.496577Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.0 0.0 (1, 5, 5) \n",
      " (73.37237853, 40.786394969999996, 73.57237853, 40.98639497)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.0 2.0921135 (1, 5, 5) \n",
      " (73.37237853, 40.786394969999996, 73.57237853, 40.98639497)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.0 0.0 (1, 5, 5) \n",
      " (73.37237853, 40.786394969999996, 73.57237853, 40.98639497)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.0 0.0 (1, 5, 5) \n",
      " (73.37237853, 40.786394969999996, 73.57237853, 40.98639497)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.0 0.0 (1, 5, 5) \n",
      " (73.37237853, 40.786394969999996, 73.57237853, 40.98639497)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.0 0.0 (1, 5, 5) \n",
      " (73.37237853, 40.786394969999996, 73.57237853, 40.98639497)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.0 0.0 (1, 5, 5) \n",
      " (73.37237853, 40.786394969999996, 73.57237853, 40.98639497)\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAV0AAAFgCAYAAAAYbKrEAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/Il7ecAAAACXBIWXMAAAsTAAALEwEAmpwYAAAKlElEQVR4nO3bz4udB73H8c/3JhEFBRc9C2mK40KEINwWhiJ0FxDiD3Tbgq6EbK5QQSi69B8QN26CFgXFIuhCiiIFIyJodVKrmEahiGJFyIiIdqNUv3cxs2g1vXMCc75P7jOvFwzMmXM4/TxD582TZ56p7g4AM/5r6QEAZ4noAgwSXYBBogswSHQBBp3fxZved999vbe3t4u3Brjn3bhx40/dvbnTczuJ7t7eXg4ODnbx1gD3vKr63es95/ICwCDRBRgkugCDRBdgkOgCDBJdgEGiCzBIdAEGiS7AINEFGCS6AINEF2CQ6AIMEl2AQaILMEh0AQaJLsAg0QUYJLoAg0QXYJDoAgwSXYBBogswSHQBBokuwCDRBRgkugCDtopuVV2pql9X1YtV9aldjwJYqxOjW1Xnknw+yfuSXEryWFVd2vUwgDXa5kz34SQvdvdvuvsfSZ5K8uHdzgJYp22ie3+S37/q8UvHXwPgLp3aL9Kq6mpVHVTVweHh4Wm9LcCqbBPdPyR54FWPLx5/7TW6+1p373f3/mazOa19AKuyTXR/muSdVfWOqnpDkkeTfGu3swDW6fxJL+juV6rq40m+m+Rckie7++bOlwGs0InRTZLu/naSb+94C8Dq+Ys0gEGiCzBIdAEGiS7AINEFGCS6AINEF2CQ6AIMEl2AQaILMEh0AQaJLsAg0QUYJLoAg0QXYJDoAgwSXYBBogswSHQBBokuwCDRBRgkugCDRBdgkOgCDBJdgEGiCzBIdAEGiS7AINEFGCS6AINEF2CQ6AIMEl2AQaILMEh0AQaJLsAg0QUYJLoAg0QXYJDoAgwSXYBBogswSHQBBokuwCDRBRgkugCDRBdgkOgCDBJdgEGiCzBIdAEGiS7AINEFGCS6AINEF2CQ6AIMOjG6VfVkVd2uql9ODAJYs23OdL+U5MqOdwCcCSdGt7t/kOTPA1sAVu/UrulW1dWqOqiqg8PDw9N6W4BVObXodve17t7v7v3NZnNabwuwKu5eABgkugCDtrll7GtJfpTkXVX1UlV9bPezANbp/Ekv6O7HJoYAnAUuLwAMEl2AQaILMEh0AQaJLsAg0QUYJLoAg0QXYJDoAgwSXYBBogswSHQBBokuwCDRBRgkugCDRBdgkOgCDBJdgEGiCzBIdAEGiS7AINEFGCS6AINEF2CQ6AIMEl2AQaILMEh0AQaJLsAg0QUYJLoAg0QXYJDoAgwSXYBBogswSHQBBokuwCDRBRgkugCDRBdgkOgCDBJdgEGiCzBIdAEGiS7AINEFGCS6AINEF2CQ6AIMEl2AQaILMEh0AQaJLsAg0QUYJLoAg06MblU9UFXXq+qFqrpZVY9PDANYo/NbvOaVJJ/s7ueq6i1JblTVM939wo63AazOiWe63f3H7n7u+PO/JbmV5P5dDwNYo7u6pltVe0keSvLsHZ67WlUHVXVweHh4SvMA1mXr6FbVm5N8I8knuvuv//58d1/r7v3u3t9sNqe5EWA1topuVV3IUXC/2t3f3O0kgPXa5u6FSvLFJLe6+7O7nwSwXtuc6T6S5KNJLlfV88cf79/xLoBVOvGWse7+YZIa2AKwev4iDWCQ6AIMEl2AQaILMEh0AQaJLsAg0QUYJLoAg0QXYJDoAgwSXYBBogswSHQBBokuwCDRBRgkugCDRBdgkOgCDBJdgEGiCzBIdAEGiS7AINEFGCS6AINEF2CQ6AIMEl2AQaILMEh0AQaJLsAg0QUYJLoAg0QXYJDoAgwSXYBBogswSHQBBokuwCDRBRgkugCDRBdgkOgCDBJdgEGiCzBIdAEGiS7AINEFGCS6AINEF2CQ6AIMEl2AQaILMEh0AQaJLsAg0QUYdGJ0q+qNVfWTqvp5Vd2sqs9MDANYo/NbvObvSS5398tVdSHJD6vqO9394x1vA1idE6Pb3Z3k5eOHF44/epejANZqq2u6VXWuqp5PcjvJM9397B1ec7WqDqrq4PDw8JRnAqzDVtHt7n9294NJLiZ5uKrefYfXXOvu/e7e32w2pzwTYB3u6u6F7v5LkutJruxkDcDKbXP3wqaq3nr8+ZuSvDfJr3a8C2CVtrl74W1JvlxV53IU6a9399O7nQWwTtvcvfCLJA8NbAFYPX+RBjBIdAEGiS7AINEFGCS6AINEF2CQ6AIMEl2AQaILMEh0AQaJLsAg0QUYJLoAg0QXYJDoAgwSXYBBogswSHQBBokuwCDRBRgkugCDRBdgkOgCDBJdgEGiCzBIdAEGiS7AINEFGCS6AINEF2CQ6AIMEl2AQaILMEh0AQaJLsAg0QUYJLoAg0QXYJDoAgwSXYBBogswSHQBBokuwCDRBRgkugCDRBdgkOgCDBJdgEGiCzBIdAEGiS7AINEFGCS6AINEF2CQ6AIM2jq6VXWuqn5WVU/vchDAmt3Nme7jSW7tagjAWbBVdKvqYpIPJPnCbucArNu2Z7qfS/JEkn/tbgrA+p0Y3ar6YJLb3X3jhNddraqDqjo4PDw8tYEAa7LNme4jST5UVb9N8lSSy1X1lX9/UXdf6+797t7fbDanPBNgHU6Mbnd/ursvdvdekkeTfK+7P7LzZQAr5D5dgEHn7+bF3f39JN/fyRKAM8CZLsAg0QUYJLoAg0QXYJDoAgwSXYBBogswSHQBBokuwCDRBRgkugCDRBdgkOgCDBJdgEGiCzBIdAEGiS7AINEFGCS6AINEF2CQ6AIMEl2AQaILMEh0AQaJLsAg0QUYJLoAg6q7T/9Nqw6T/O7U33h79yX504L//aU5/rN9/InvwdLH//bu3tzpiZ1Ed2lVddDd+0vvWIrjP9vHn/ge3MvH7/ICwCDRBRi01uheW3rAwhw/Z/17cM8e/yqv6QLcq9Z6pgtwTxJdgEGrim5VXamqX1fVi1X1qaX3TKuqJ6vqdlX9cuktS6iqB6rqelW9UFU3q+rxpTdNqqo3VtVPqurnx8f/maU3LaGqzlXVz6rq6aW33MlqoltV55J8Psn7klxK8lhVXVp21bgvJbmy9IgFvZLkk919Kcl7kvzPGft/4O9JLnf3fyd5MMmVqnrPspMW8XiSW0uPeD2riW6Sh5O82N2/6e5/JHkqyYcX3jSqu3+Q5M9L71hKd/+xu587/vxvOfrBu3/ZVXP6yMvHDy8cf5yp35RX1cUkH0jyhaW3vJ41Rff+JL9/1eOXcoZ+4HitqtpL8lCSZxeeMur4n9bPJ7md5JnuPlPHn+RzSZ5I8q+Fd7yuNUUXkiRV9eYk30jyie7+69J7JnX3P7v7wSQXkzxcVe9eeNKYqvpgktvdfWPpLf+XNUX3D0keeNXji8df4wypqgs5Cu5Xu/ubS+9ZSnf/Jcn1nK1r/I8k+VBV/TZHlxcvV9VXlp30n9YU3Z8meWdVvaOq3pDk0STfWngTg6qqknwxya3u/uzSe6ZV1aaq3nr8+ZuSvDfJrxYdNai7P93dF7t7L0c//9/r7o8sPOs/rCa63f1Kko8n+W6OfoHy9e6+ueyqWVX1tSQ/SvKuqnqpqj629KZhjyT5aI7OcJ4//nj/0qMGvS3J9ar6RY5OQp7p7nvytqmzzJ8BAwxazZkuwP8HogswSHQBBokuwCDRBRgkugCDRBdg0P8CP6DVrooEXgwAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.0 0.0 (1, 5, 5) \n",
      " (73.37237853, 40.786394969999996, 73.57237853, 40.98639497)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.0 0.0 (1, 5, 5) \n",
      " (73.37237853, 40.786394969999996, 73.57237853, 40.98639497)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.0 0.0 (1, 5, 5) \n",
      " (73.37237853, 40.786394969999996, 73.57237853, 40.98639497)\n"
     ]
    },
    {
     "data": {
      "image/png": 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YqaHrLmZQUhTDs08C4hzYBr5xUM12vj3A3QHh5VBe4xrZc34ebI+qkzp72+o2yzlSqp30lKXdV357jlo0j4FOBaqMRXy7MDMZYBZNmEE2GX/w8EXd34Ksu69gbiELXxvROeYehI/0HbrV17072Gmh68+5/Rpjwgxg+4oWHr4WoA1UOwo3hC3LMfDuSb8EsD/CHtmtr6+r40agrMxrXA57B+AOuBpc+pKHRml96jU9r3MExKUgflwUxSvqFmiVLsHMD+d8u0Dbvmc3Ww7s1G0ErU0DTdtVwyex00LXWXyMuo7AXvWmitYOcMEpyi5wHSSNWm1gbNeyo8nnoduWvXTg/plTdG97RF2qDbfdAtelRU3fE1Vp2mF796Vv067pXdoF+LCxy5qGi4AQGAtg63QyKj7gUoYOqq2fC7VhmQK2KrimAWod9oEiyrZ3rE34mxP464AuUC4qW+a6K6qLItqVNNbHCgNhO5ugAe5ApbagNODN3AtDWLdp/fS4h5zaF6xDIVqvdbe8Ne02EMdp23Q4lHaF95YStigfPCSI124gg2lF7VIB7iLgrVPLUP/qqxpl/q4A2c5kMPdEO0AWPqFlR4GTWxxMS0/E29opoUvNRoCshS20c0SVi6IKnOp1HQ6t6nXKtgNgN/1mC9KS1rgWqqoOaQx8b3L+7mgbv2V7g/L3fY2nnQq3tpj2qOF9ZR4Z1MvSpumEagLdAlsBL2h1LzBMv19Q80ifXzunjg9k7gMLaDtjQdSsnbHgGhzvPfuZHNPZ7JTQdUbZheTqWnBgzVRu8hUKVl1GlZoANyrVrfQrfPtplg2YZz7dHkhuacdKu7MLZHATk9va+zX+yNf9DXVLmu5mZcZ0xCAua78WPduibpmKqwE6mMYVmjB/MrBm1K7MXihK2P9sT/tnXQrpgFtQv1YEqZ1n6tj5oQu4TtQoW9ibARWk+vQefAb4rQMLHeA6tdrCcwnQHO2n+RzQ956Y7Y58T+Xx6LKp2WtB1uSjPYNlVP69dTogVbZmQ/P5dEwAsXctMICqfCt8tTyuA2qiUlFdD07xBrWbfVO0rgR3z8HU0YC1dz7OZaeHLsVtSvaTzqLbZRDNfu3fAnAG3BhOG+AdqNs9AN57Tm5tdyl7oFp3Zg1hqlx76XZ/nQ9ltdC2CN1TltbZf3BspwMxmIEPwS1x2V779jqzAfXbnarcqHTXskSx2iXqoKJyjdrt3kvQ7Vh8VdMjEeDu2/dWvaeHrhrrp1GztkNlKrf52rTYv33KddkVP3ZD7CtDP29t9wL1o8oltzWAGu1IE8raTpODIqZpyqJY/7GyPkraMlxWYGtUb3UzMBbo4glVoiVnAWsqSCqo2d8nGXzj1E2rhP1B9A5udGHfxr4C6IavR5Rfw6h6LXgpAXPbuUzcTljmYWOIN2GXJO+BjvhwmH6iws8r3X2ugn1pgEYt0440Tbm0M40va2+ajxL2AVTF68FbBtZkGled1WAlafHfdtSuvweM/9a2tbmn8gOJrorRRX9D3gI4OXS7F62Ba/k0A2zZ9JexO8HAkvwAlwdlgPGlD9gMxvXz0ge3KN17dMp3LbPrBqAdadz+sTR9FRzUbYRPlqaJH6UR8JWpYsW/+1GyrC0U9KpiZREltJbBpc8rgAW24ZugmdmwNsvMYuhAts7XpSZq+7jflbg4M3SpvTHaC+wVrO0cfd8t2oEzasHbzKuNwL1EKKtyrcAepGlhbNJf0SGv7sMPVCKfV7qj/T4oY5p440cA7vn6H9NQstdPY5Cc9PPVuLhK1ZfLrBCuA2xF1NZpZGZqGaCiow6u1cE2Ba0q2J6LgWtZVQcFCFP3OPLzmZ+X97DzQjeaUb0tYM1+qnLttBnTmVJ1G2G4DdyR2o1xa35fvk+T+3RfAYCPKCsvM7gMaCM+adPmgNlmGcbd0FF2WwNpR90MwkpiFJVrta3+iaKVOKoqt6hVqYhQ5vSyeXdDC9i4WMKmkUbFATY5mJFgeDe49uzrgG69yVg7voTXGyDx/don92LCZDZDjYvqNgOvB24K1UtQtE7ZWkgbkGcA/0zvbID0OXt2Wdsug614+ZfTc+Pit/IP44FNNwJtxENVIQPAx7pPYHwwQwbVPhg6jYzFh1taaYBLtmgzYGbvE/cz60YFNzCWooz4ce2vG4PzfBLqnh66zXUKKrenbJ3KtVPF3DYrjBM3gp+JkKhZB9yiWiXe7ifb4tetkK4gXj93n49bntsXLouyG33X/h4FuxFPn8wPoP9gyOPlBTfMGi5TyC4CWxjFSxbAZRoZAHEr2Pm8FbCAG0yLoK33mpRTBY5paM+tYNInB/3Wdk7odi4WhYvefq2xX4ta/5T/Bd8wW4H8i2miLzYOmtVtq2KDm2CxKvYSla2Jr+q5bFMC3Ss67a36+fPg7IF2XOVSHwoBdnnZn4infvwedfwBBj7W2Qvi23UDanXqgvgf1n5mXQ5UwetFSlWzZb/vZjAKVQSMKa9y2aaLx0lt+LvbOaGL2EnDwAC0A9T5g+EJLZ3BKl9dAokAXE4GznTbKtjow/VQReJKyOOti6FuX7aVbnZ+bnmuX6ecAlRqy3XxSb02/qq8NMq7p2w08dSk6k1XK/HMoIUqZOlj9ekSC4hXVfsRFK+tlyt49f6Rt5TZGQ1VkBjRIvdVM32sd1KsAMK57bTQBZBeUCQA1q9Aa3ymbJufY88gvJhVZGTdBYnqzdRuomwboJpw53q4eDeDPexbnMJ3LOcI9FxaGn3lP+ZuGKnjGk82/mDeEKvoBOij+HM/yjgEl1hW9wK4zFxgM8hWCzb9iLhCuFa1lHMoroZyn2Sr2tIZDfH+bI75nHZu6BqjuLEB1dpRlj5gJTx9A1hQuupiUJdABlzvghhDtoGycT1cdW5ucX5vVsYVJZL92Boc68WNVKzGufiqzvK82+o4V7fdvBTj2ryrugWIjW+XRe2u7oUPMBYLW4gPuKxmE5Vrq6mf5luEFTERrjY8FhG3k4heL3hnOJ8auk5F2ItO4QLbsNpxBkBOwCvqVuDs3/yVq15Vr2bfDIhZ9aqQNUo4Ubmy3ZyHW5zLgzHXpwTiKq1ryhgBrImjQdwon/t3pzomH3fElbA3rroEVpKusxd4lboytkZc3s8gSpfXH61cOW2ULXQ1mzsGkjeTmWMKsG0H1uLsh/a8+WNJ7J2Ji5ND11vr37P+3DWCQyexvt7Ml2ugauFrpohV1XthB1M/SyEHroNpVLOXGO7dEq1t99Tr+nJfUV5jTRkHC82Sd+H3mTjK43z9ewbbdsTRIK6Tj7HSlD5W2BIzvmHgYtTuNwXIC+TlOGuxtHAdgLOwrcdCOrvBuQocZI1CNjMi0umMQfKSDU+OESH+3ey80LUXLMqI4E/yT+asA5k4B14/m2EJILbTxbzLwc84WOEJ57vNVa5VuKWMJC5/4U2r0j5xWt8if65KzXbnpvbpdoKxyZ9Dk1zqTOFux+UPh/Jvgd0HA/LOBBKiFsULXuMvrLBdk5cFFAxcwPhYBLyhMgFuOTZdKmx8vnKP2HtLigjxWnYiFkYX503tvNAFYG+I2PEVsiVd+LrjBs0W9h1lgYNt9edSB7Bm/u5iZjMIIKkq1w5wU+iWdLJ/8S6La+1hUOwkvEf9FoItyLbiesprXN6nFHXzMGhh6/MAEf4kPt0P1HljVXCy+HVX3+4CgTGvbxsrft4FKIsk1OdbB9SgwF2k4hS+fuA6+ndrm6kW0R5/SN/Ym4H43NANF4NiZ6jh5qlMfr/2hCUBsYFtfP/CQh6wom4VxIlvdi9wE9fCttLtnpbPntaH5r9W6VKI6EFwn8rdkScBRV8Zq7rd24YVTv3yiBlEKxH5g4Godj+4+nsFomsyeSUk3AKK9QHDVeE6lwFE7RqoGrg6n64cp92356q5wNZNEePe084NXWB8oSj+hQscQbzkYG5edkNolK5Vt07tBh9uO1DWAa7dT/JvHfpnTttm3k/eHLdu99gN0NsuSjY+uIdl9dRvq1RdHGV5pLaBK6EBv4YTAPpmHRwzk3MVvitVvW+X1qhFBtuSk6lHLyqXE7XrPwHpE2ZwWpKnB85p3TXuze380AUasDbQtNEdxevdCV7VUiwzS2P3i1uALmjUr31Bzi7gNvv73QtPg/KD8rr7mbLwnmLtwXOwTf2yxgNt+10GqyLsq1vnTitTFC4s39jUt0sC3A+UwTVUX64oX3kBjiyosO/grQK1bqwq2N5IcfqYpjd+7gTO0ODmYlP4fFf7OqBrrL1gvrMgAy1FsIY0CVgbJev22e9XeMLPy90D2AtwCWHRvXBtJ03z7SzsVaDcX+o7cBGkgN4PvM3wWkFPFY9dEJvhBNBHeV+CSNcPrtvffDAuDHxDK5S/YUnC62cpD+u4cX1/Q53NAK4LKBjAQjKTwd5LXohAxA1FeEZftD/w9nq+v30F0GXHVEB3empWOs1WulbR+qW9rdKN08k6AF5yuNr9SwbhL+rrPWLPAOQj6rQ38H7V2lO5nXA6mH6oosODgDrhvfRmixcGf1NetvMhfVm3v2HGhRjffGBdICFzeIFV7Zbtj+ISkOlkWgXrFAbouXazf9yxJErYtbkF7lnt9NCNoK1P3JgoecFNHExrFK1Jt5S/Vvlan659MY26Fxr/7LITuF9iOsbFLAPunotdJ+xgvmvru3FeCnuHYHXYRXAgnLbSA63C3RlObTh/rDMPqsL9hlVIlIG0b6ispqxqVxZRoE4fW4q6XRj62sd6OKy63EhV/2KbIGhqe829JfkDgYcQfmM4nxq69aI131GCioV2olzdlq/snfBG1RI3bgY3P/cSAFxnMpjZC3WAbR9wXfhBpevO11nyEeI93GzvU78VK+4Bfq2roemKMby2+3MK+mNhXL5BFRRMqCBeRPl+rOmrX7fIW1kmvLoWzJxfiAIuLobyr53m5uHrYQuY7RAWV+y5c/TGgM3s1NDVi9d+ZZMR3kYBJ29QstPCXJjMzY1TyBaUKWO5n9cNnF1a2DoFnKneDLjiWuiuSDOn5YpO/JJgHeY7AC1qw8dA3lE2+bbcVEGTDe/M0zVg5W+4vh2s9vcPrjBe/bqrwl0+CnBlahmp+6Eq2upZ4Loflwhb6MJ+otxLMOHd83xOOy10G0VhLnCcqxvnEUbXQurHjdPFJE/i03UuBTuwZl/PKIsl0oUPvYG1FriXL1zdC9d03EdC8iZ1DQrZr2634bcNB5PWxW8oYtpOPx5Ey8um4tMVsDr3gizj5XXl2TdlAA0f67sXUNTtOnWM8SHV1Jc2oPpzyQyqualedhpcva+8Inbx9l4L+ZrtN7fTQre9YNyE15HVEh6fzAJR+5PTzYyF4GZYQpx/yY0u962zFOpqNAWxn9WgEI6zFCxwdbso3Y1O+n5A3i7Fp9gAILV5tuEn/w7gR1tpx+Hp3Nt0Hm8nLVYQUnEl8DfrL0UIELl8MxO1+w0UuADqi3EqcIub4UOKYPsGMqN4S/Wy0KLecwXMKUzrubLfzPy3tBOxttp5oWtML7b5+mifuGaeYQteA2BRvw18FdBx8MyqXXUpqBpu37sQlW02k6EP3EtRyOnxX3PObpLnmpgYmSnRfe3pg3X9t7+6TAN2pXVhA/VMLSzXz2zAbN/gGpF/SNAHg7+RQa6yTQXABY71F0acgl0H3hiMjw9xM6xiQsC7QN/Fq2Yf9OYBZO4nq2TdYFo4lxqQDUZmid/LNqFLRH8YwI8A+Clm/mX3b9KNjeIme+BKhKjeAuZmcrd1IVR1y0bZGpVLAbLVtaAg9kt+2W37l5iHvy8Ryga4xtd7xenZneJ4n28HkI7Xel2eBmDk0+XgbFVuDsCSlnhHfg3fpajTqWj7lDNhfYiXoS/I+xLWH6OE0rPMA2P5LAsmlqWAdhHXL6OuWBO2Fn8vMcpL0NGeW6oN9CqX6ocLi9sOtP6Ae7tvYXuU7h8B8N8D+KP3bcp9jOJGAlx98kpHUbA2ineJn9yoXK9wDWSNW8G+0tENqJUVa5m61cUQaEAbXQ/xDFwPsf0AP1wPfaZd+9P1FekAbM3Dejt/v0wgn46W5ZdWZGo4Kj+JSR4QHwpaFJWLb7BSsgysravOVrEg826JVvevDKgR69qK+kKc2g51WxBgfLumkfY+o7Wt6z77eMB9AzizbUKXmf8yEX3/A9pyO6PtP8rCFv8pvwIsKhdLno5M/PppQJyka6eZwUwpy6ahWVdFUNDNjIf1T227I98TfM/No0NQ6loyYdAw/TcLU7DV/OTTZmV68Ib83TItRKnJn4X5Mtc2fBDqL+dIm4jls3RvBviyKl3SotZyF5Sf+7HHZHsTV9CK2q1p6nGYMgkIjUwvrr0lR+ne2W7m0yWibwH4FgB8J342+LKR4Y5GF6yP7wvW0dgLVmDWT3bhfKH1c0H9tNtYSvoCVq6fVPcl3n6u4WzSy996u4jSiJ8gNvsEJvjBi/L5UTr6+v4S+yJq30tdB05shOVetr2axOa/Rsccv988LOs2R2C1qb267ZQjMezD0jIphtmSk/BmrDfAlGKoLd+HfTBhfasjgZnwgfVv1aZU+8oHr2EfJWwVtEl6GPSW32O3YdG9C9IwQvFGlINgaXfd0JbL4FxT3onsZtBl5m8D+DYAfNfyCxiXJz6eLusTHBe4PwVtBDIHyMo2ecg2YOYGuExU4YoKWYQwbsItiAELYv9rrQzSl0SZPx/meynDFBxs6yod6e9ZWZ+5X+R49tXUSVHBl4Fx3aphprIUbNSG2bQt6DPAmn8pb4dvp0nBbVp/nFr2B6iAt/xxEobSn1j6kIbJ2BpD3gJJtZ9JOBeyNpAMbRO2sgvX47LxJxO1qd1n9gJhhdmz7AKgqFcH17LNFzZxIZ0DL7fql0oeA2KrbEFsVK6EUQJZ8wcDYpT0gCpc9CH8AR2KseDdaz7tuMvfEtB76olezavKYX+TN7CkGFZj2to5gZ1N3SjbDdDvUrY7YJwcZ1WrAtsC1G+SMNnWfBbGVtWW0wCqEDaHYbb9a4YaoLJqgNGV5Y5QeHe735SxJytdXHh1ccifgFRcCTWMzbaEU+JiQONuqMpVXA0OtBasG8q2AlU6owJY3AsRqrodlHC5aXr2CXzd/VverWDb5h7AMoAvU6M2ZAhATsq3dVJSfqjXhdW2BcDWsvrlWJgKPKPylTD7DcoC1bohquvBAFjVMDVncHUnUI2vDxl3ScXVkD7inPX63jt6HvZMGfsTAH4tgF9IRD8J4Pcx8x8aZ8IKqWdZhSQFWGIdPbD+14XMdgknk6YcSwXiEtwHicK1wEXmbkBJH2ArndpOPIdRtrDh8P4v/Yvd0Hdi7sZcYa6qzz9k991A++pplZaeVx+vqsznKUqOEeIL1ijm6ak7M9zFbZv2loVhWQpf+8pFq2hrn+HYX1afbwbU6kKwaU27YOLXA/BDe66t5MPscdXs+Dpsz+yF33JVyU9XuvADZhejYo365YXNNqoabtVt2RYgi8tBwBqBawC+CWIEVQxU37B1Lzila97wFF0M+953E3+T4FZ2r+t+rNxMcVolmipO8oAblRVfNRDVcVr/7rJMnk5ZuTbUwThRtVzA+011G2icHUSLg2Yfbpuq6rXAls7L5FsBeIjaB0rb+jFw31HJbtkpfbosboTGtQBwmZJl02Tug8yPW90NRgELuJ3yFfWcKGUPVvkzCqOqXpsmqFpSwK6dmeukdetrO2b7oHZLNbrPQlkHDm5lwWC2QAxjD4UmnnKANnkal0XIQ518WfsOuT+0LjdoJjMZklkJ5qfS3ECaPJTjwJm4FMB+1rB8K4iXa9QTfHJV1Ge3u/l0+YlKl6yCFYUrsxbcoBq3avbi/bk6WBZAHGcqOOUbfbidGQ0wEK5htE4Fs2mgLoYP0q9p8U+mjn0Mu/quM/i57OIL2Upy53b0fbY1toFWCmPZ5h4gkc5syMoEorJNlCvF2EzZepUc1XAdNEMALsODGOpeWJWv8feW82fTiM8XUDjLOc6ULDPV4/HuEgp5vCI+M3xPqXTtgJkqXKwvDa3KlwJs1zQRxGzSVbeBmTKmbgfoYBqFtAMIe8W7phXl4GDagzDUtSCDHkvTZQ/Cy/gLPwe+Y3l9qz9fb65wg/JsoBUAOVCldpuYmjCXgzqwzsp1bpCxSu4dowyoVpDCuBEEqql7wX9b8uHaPjtdzNpokbOFa9PesH9muxN06bk+3QV+9kIFJekMBTOPl+3UsaBm60wFN9BGjf+WQ9pVHfupYgrk4Oc1nXwViQmkERWtAlj31e/WWA2/9rrk+bYVyTXAv10bM8D1l/gmUE1UaU1DcCEpjCWA+4AUlfzph4Rpj0D1mwpXr2BXCCtUbZqPUlidnysqt16b7L1gqnrtIojYfg7nSdKNrvjZVO8dp4zdreRtK4sfnGvBTCOjpXUh2Dm5FtLRzZD5fBuFW4HKubpt/nw6AA6yflqY+trIpKmr0rDeQPvsGpDuK7v6+K4C6FG/dL+OFF5OSSbxFMNdrIbxIL4B+0glD+JpO3+t2xxXd1EEe9jqVDEDVVbfru93Rt2y9j1xdzVKtgTab01U82yr27PBVuyO7oVnKl02oEWdtaDuBnUz1GljHZXrw8jD1gLbQjMB68jP27gXkjhZ8tt1LUAHPZYdX9baDr19va4F6THlalXRqCFteht9TOGGf3kQTzaskz+U0cTvLCMDu4sfgD2uPIvgde4F44KQftROLdM/bdaqLnwYqtrN3AjRdHmwtVGOJ3LlRnY/pbvcreRNY+vPFZhad0IcUBNXRE1PCVixzlIwU8McHBN3xG4II/rNWmXLQDrA5lwLrgxzPvZ21MNf7fcq0g2QDiDaLz+HbRa7S+F2QRiAxm28LSNXottlZGDvlZGBPZYhMF1/k9K7E+xUMh1EywfMGqUL6SP5tZc2NMq3BNR4t2/SdUo8k51W6Xq3AhnfLUAXbtSr+HrjYJp1M1TYmoG0nv9Wp5S1LoYKYZS/6F4gA9gOgG1+61oQxdI3lSB73QhH3A3c3dkD0zFIh+mShNeAME3bmXbWQHdQhvg5u3XY2N7DQRu02R47kBanjYlft6raAFTrw/0ondX2QWv+QaflrAsiqGmrV7/6gLBuil752f472ql9umx8uXYmg/P5Nr5cSlwIHGBLdf6u/FkVzFEF178dPt7S/Rxcg7IFtING1wKJhACaHup384fioTTcT7fHfbErTZNoP5jJROYgpCYs3R4OgoX6emWxx09eRqJmmzI69ZFPm87PNe6EOFVsdSkY/64BoEwdUzeCaR2XA2CSGXWgksYq3czv21zJDTFwBuACd1S6z52na10JcJCtPt0Qzka9YtPVwAW0XgWrug2AjUuHRcFaAEMh65YIC1yDOv4Am+XCxgUBYKmk2v76v+VO2PPSkc0ySls6EaaN1z0IevFXK0oT0F9NVj7Ng6dfhg1vy8tdFvk84vQ4kjLUn2vm45r9uhgiqFoZTGOm+gnYfhZb0B6PAFV7YQEur33YPkTW/b0P0u24d7CTztMl9w5d57MtPt3GjWAG29j9qcqFBWz129p4o2ANiGuansJFMhAHcTF03Asw6lZcC6JcmhPiO3X3KzuPOvQWwDvxFaxXghm2Ta2C3wLy1QqXNaQBHmX5krSpylaKjh8KJe3Q7dFXvl7dkoOsdS3UJb6ub2Vzdu1qtHI9zT6AOigmwLVwtY22UH6eNHuenfMtY1atynJg8dkuRQmXuMaNMHQ1mPfnFj+uWzhBJk1RuBW2NU2icJ2KLe4FAW+pRuKygbcI374apBgQNrfgTHlccDNcA+7mK2tT/E4gNzXGba9wbZpWWXqQ1m1O8sm/FNKm2y1MXTyFtL3ymjK08QyzIo3JvNIR9bWP9iEtqlZWM8pcXYae//aF5XrkbPbEtRCvNQ323l29HrHzKt06O4GNkoV7z66Dc1W/AbIWwE7Ranx0Iai/t+PDRQJgaHz85Yj4k9fcUb/ZlDGu/1jbCT8XLhs9oAPbN9Id2mQUac9WmA78snY7cRe0MM62qTbqU0DvlkFO2Q6PhdEZSDMvLDfuA/sAr8qWrS9XPlHPt7gdCDKQq/N49ThLh9ZTsx6bT+aUr+0Dve13tzspXXqq0q2wtINmBsIVku5nfHKVm81UYDIKWUBsXgcZp5J1B9EAD1pSwGh8WfAA/8pH/fOuhXU7B+EQgklcNiNgTT8CcwCvK+O6tvT8yiNVb/Vhpgrt9q6FDBzTmG3aUKTdMqhTfw/GnQcHtem9P9cu9c1nLrTLgPV6eC+CP9/rXPHMZdA+RMmUGYHrCrD1nIm2xc6pdIncuxSqgnXzd7mZjcDGBcGdaWU276p8gw9XBtHMPN3+LIYAXwB1cYQLW+Gqvlq9ZTP4fgQO7YIkuw9XTxfKSYGHgBzr4qyuAYxjXSb/Ed+pV5ajdy90tjnJZzYykOo+bQK9DQ+AT5SxVbffsP09NP+mMeduWBWDGUwDRNW6byfhYogvd8udwCGcEc9aWvyByPewc87TJc5VbgEwURseZyz4ebpsgEp9wEYA9xSuiSv93AEYsC84zwEs6rc1xtIFlQEl2xyjjt9Rp9wJj/W4Mlv1sq3Ik2MRGKR1aJ67Ktwk7zbQe+p04PpI6ifzTy+f/lxPnC4GOPeCOY9W6dp9Kd3/QoRtewCqUa12GpnNw01YdhTarjPZXaDLKArxSUYVtpz6c6urwM1ksH/Gl0sdlWvjSPYVoi6u/rHGCWxhQFrgm4Yj+N4MfJs4cA7SAqu63565HGRdP+4OUAb3Qix/qIBNe9t8223ar3ADbDvqtA/DUGeqTsN28zAwPuQG6Fv1m3/Nc+2D4V94A+9G8FPE7KecXz9lTDe0U5OJ08UR7TVwkA3E3fUt6ER2TqVrZic46IqitUq3M20s9eU2U8aCAq7bJo6MAjYKt4KzGWBbe2TjdujBV+KgcdUN0VGE406+VrgHyGk5NVEGy4ECPqh+9yr2BloUwxJI99QpekDs/bZZW3caHkvZpY5HDxL7e2hmjq6btSDTyODm5oqiZcRrGefoan3rJ7n26RodD+f4yeV86be8vPi94e9g512RtsCtRGMzPYycAh4o2ThlTFwJ1o3QzGTY4cNNAWzcCzYMCXzRgS+XKWNRnXTUYgavvoJNytgJ9QaYIcMe1TqGeV6GLyEqzAS2HaiNFWYp7Sp1arYdkClPE2A+are+ZUzdCnG6WD5HF4D4cBv4SumZyl1N8lFQvBG47Vkw+bkffwY7rdKtcGzm5qIqXadkxdVgB9NKHFkwE/xAmszVrao2DKKN/LswcQjuBQmTNIgAloG19jwvyKDk02rn3gcxC/M2fQZecgnHD4CQnzvtHeXvSB8Ppvx231S4mwqTduWNVyoDcqN8KQsP20neqGx1IA3125Cdm6uDZfZTARv7AwHGXVXSMLmFJ7G9DPX/5m8X+zrslEqXFwJZ1dq4DQxM3QBaq3LhFG6icosbgQg6l7f8qYthp/oF4N69EMIZwIfpqYsJt18JP6qkSmAY/LNHVOkuEA6+7nfz8wDaWV5O2omebUwZG0BtP4w7ynSUFziojrfe1+u37UCaTgnzEK7+W5bz7VWvOQTzgC7XmrVFrYL1ZtXwKF1PAJzNTqt0U7eBALb6dD1kM5WrAIcDs1Oy1v1gwqkCeDCDAcG9YNPDKxPQuvDBQTZA2cKqgipRm0PIBaW5qWq7inkM/ZF6zZVynrdVyfmvKfgS+irxWN6971xItj+hrFNXhcmnata/Y0F/2TdxLch1L8dVr2t4KNo6KHxmZl9mblVvrbfz0GzCzAPone2cP9dD8G8WC75ZMlC2ipXC76fVVzPaKWG1jDVuhWqufi1k63twe/5dA1/AgJRWdbtUuLaQdWDGOmXMK9S+amQX6Dv/tcq0gemRtpgbq9cW2w5fny///gp33bkpyHv1boKcXL3texdU0aovV/qPQri6FZIHdT3fvLoJ0kURiZQVt4LEjdVuz94btNbu+GvA9yp52+pX/TqIxgaUAsgSlgymWZWr+QCZ8hUBzAuvaSyAE8hKmhF8P8BYgssBCWAtfMW3K77cD/N6x5Hy7KnOFKjZTRjKt+p0rzLNVXKn7CNtwAhQmukqlVrzhroO5T1Yb6Zsga6bQSDazFiAztW17oW1aeSuG4NA1cfr65F8RPJJJSb8sa6kdHBOrO0XOxK+oZ3TvUCA/QUHCsq1q2YbdwIbNRxUbgVwC1nK4Gv8uwjpLXxXtvgXkgtMnbol1JVn6tuN6jCBXqNSB4pyqFBD2alS3lN/lm5c/151rKnM9pbS3A3FAwo3AWqTLoPqVltLnVm4HSRzsxQ4fBrVqw/LtSQPYXmg6jZBVaw97/E4uRwfUx7X7rfs4CTtu9opf64HHXjWcEID1BFoaQhgruXGBRZkwwOU4y/8ClABcml7YF9h3JbxwViVcj0ZXqmkX9PtTcM70tR0AxDW8KhQ9yvko+o4uylvqzSpDe8ozc+o1C2g7oFxVbqgZvWZA65cRzNboTf9Tsq3/Ym4Va/2Pfr6EJDzT4Dp+9mvRZzdTql03RQxUbVkwxPVmqnZBKgSHufkknU9hPBmEA1r187cC+scXRn0yGcoZOEfpRcv5N+na+e3DlVo4x9NFPCeNAWy/TRRoe7z3W4qaFD6lXQ3qBoY5y8Rb7ZDnbdQqcfb2j44pA/osl/7cC5/7jpp2LrTKlsBsz6Ayr5kDre8qFtJbeseKd5c/Z7HzvnCGwNa6z4QNwMTG2UbVGvJ01WzFaZarktblOieQTRshMFAuipZtAr3g7kMtAmcOAEVMILZUGFWpdqBXZKmr1J3qONNuG8pYw2rW59SuEn4HVVq2tat+kJboyuhvtCGvbvBwjMuE89M4Gk/EbaRhG2BNtvPLEvzblA+6UvM0ahXN9tA/LkEHQSzsxnIKmULVEbqeohTxZIpZBW80HByA2bBvQAAomRLulTh1jCBMmHZUpp7lOiVCrk3ZS2rzwFzo74x/KN75AZTxjZgfE+VmuZlzsM7MI4+WxlMA9SloG4FOaf1qV/SycoymDizbWr2710gF0Yu3KpdCsuF41G8H1D32DmVrntJDZuVZFTh6Xy5Bb4KUQPgOjMhcTFE0BpXArnVaAlkSzhEoda+vroXPghmmlgBclC+H2CnelcAs3v7WAY2D62gEjtf5Xtf47sA3KN8eb8yvib+5gp3p0od19WB52Z9B95iJn2K5Zcgwra5RtJ3rOn589cyGsUo9m3uKuIge9tvZHbbQzhr57vZOZWuUaRkAMxLGcRKBtNiulXtGvgal0R1GwT4qsKFDpi5l90UyNqFEPCKWPYBD2MBas+v+wGdMibdvA83f/tnX/lvpY6b+raU8QHot8fSH0XfpTg7qtECLo07pFINRnfUF++i3Q+MOnMB9drZ7fquXKtsg9q08PVKVLeJae37QLjmui1xgbXO3hWg19gdfw34LiXvq96ozxTA8isPSwLPTP0alSyuB7skmCyow/sWKPXv6ooz6fPiYpCRXUg6mHRY03wQUoVb/XKUAW4/SFvFOoLoRjyiGk2gGyDaB/oA2NzmTaE0AlamGsvGYYADVb7GF3Xfpb6EZitcvdq1vl4y21qiQtjCOM7esAqYgDJrpm2DJCOzXdX2iMIDe3dAn3RFGicuBTifLheoWteBGxwjo3RNWr/EV2cxrKo2V7hxcE1BG6aPlTvKrUoj40ZQPqUKVwbayCnXBHicxa3x+rXTlmHiJGyoWEdA923oAvsAzPNjgclhtq9UuLE3k0mQA5LddegB9X5tVKBat4LMQNDpYpqfgToFzJZN7M8rQx76ZOqmet1XUaBpBdJ2O0LYHHazfTY75wtvSNwHqC4FO20MxCtQmzSAWzlWla5XuQjwTdOFwTUPWu/bXUFrFS2XT6N6I2QrgI3LIaiNBogGprla3A/SFMo8iKv1lwOKccjUbIBuR7nXMgMctDQM1eM9FeeuPCbgUBu7eRjiXgC80pUm2GtFVe2KAgbUzUMFktJZSZUtsvO9pllvgtr0Q4L2zMAFTjpPt/5Cg502Rt5VUN0OhApgN0NB4Gv9uQG+1R0hADU+4+p2SAfRCi7dNLESLmEoeeU2Esgal4P169qpZALidQtSWKs2ZX+gjPuw3AfzFpZJHeYu68WNQR6VUtR8tSGfV7i78ihmegBv8nMSvgv63MaRga3MTmB7Ts1Mg3r+6lPclRjnIa8JCnihilfaU/uuJOXS92H/PFhzyD6RH3e2k65IE4jmCnYFrvHnUq5oHVQT10GFquSVB3w2VSwMooEEqoD9IcoKzHIP2EE1Oz3Mzlzw8PVvBOi5Erxy7UCxKM+uuh2AfAj5bt0t5HNFnsdZwJtT4M6He7xwkzTJswOOuFLhdgC+ncdhMW2jcx8Y1QsL3KpuUV0IqmhR04rv19bEWPuc7ZOu/nIOBbAZQs+uaHt2XqVrp34ViMJC1KpXA9DGx7sHyAbwAmT7Ht5ah4CWPKTdz68LoLEC+gMyday038GGHZxkQE0VjMat6S2cIkQ9uI6r4hamOcRHbeoM5m3Vm7gdrPIE/E2/gotM6pAmKFxykftUsc2TArWXp2y04Wzy0GYeub7u3DQKV9Ia90J5oMnAmYCTahlSnSpcKUfqr+dfOr0L9Nb2ofPbKX26Cs3Sqxcf5ny+pANkWVgKZBPmVG5UzST9TgfcREhYsK6fEub9uHadOrCGfZB5oxh05gIgYIvuhT3wsqo45OnC1OxvqM8tmI7rbNu6+VDBXrVqUJHCLstjtgNIPp2nNGXdNg8EkymFePNwETeCbptkpXR9i5h9NaSkI6C+rHxVw9QmqKUpuKPCtdfe9uXWcqGWPBa7ad/B7jdlrDd/5AFGVemqGnXqV77qyzQyQp3ZYH28WZgCWfPqLIQsjPSrloTBKF/EsLIEWPYhq9JKGEyYgYxo3i5st8DJcPldWQ1QzT4P6rwSqLlLpK1vX5yce7Ndw9ls+zb184Rtro+BtU6qpQ3yIMnDSR5K88hD2SrLeDyqXuEfpvVaknsYyrmTgTC7mszyVY42C9ftMEmOYcfVahoT7c59yHo6O63SrVPG7MCY7AcYW2XqBr8WA8dBOth0CztFa/27EoZeGExnlJVp0JVpAKvLAfD+XpaX3bAZUMthex00w42yC6h9F0NWZ9dX2wsHHDj8MJkamYNwKYhCK/bkGajhTp6xspWTRVfWk6thPadUcpDZ1vzSAe0DT8BuPwXUS7m+0gc/mLCUgbv4kGGXv7Xe9dL4fPvd7ZQ+3fpOW/ebZWP42kGy0ofUT5vNwy0DcwpWMlPDgn+3hMGWZcOg8JUZDHIcEi/qxira2vEDaD8gehh9qIbwfT7d/Sp0HH4MqIfAzuFGJ/fht1mB4hCwK4+EE6wfYV8e+YelhAN5ZN9p9DSP/e0zq3xrZzJ/5MIBHZCkuk1YYUsgBa5kM2o2grYCmEmLLYnY7Mb00c4C3vO+e0HgF1wBWFYF6YEJv1othSrSebh19VscIBP/rkuDoo4FqlAgizKpDwQ/YCZ+XDtTwQNHp40BuEqJHgPqDnCa8LGKzsLb+P2KFyWX7jiABT3QgPeoWuVO+DCP1ZA+QQrhWo+cERrnKZAVN4LkpNLp5JxVBlawBreCUcQM07+gZ8xy1PUnKSOchUbhMvRknVXeGruTe4GeP3uBUOGLAEC/3cbbwS/dHylY715w6rimgXEntApX6pfFDytGTTzCTAXSl9tUGHMpuyrEAK4dUL1GiUr4JlAN8LWcO4DbwSxRoZmKBLC6G/ydPsyTAG9fno7CTWBfugD0KGlXnnIDmGsk2wW6bKGpoDVVBbW7ppeHfi0fMP7m1YVhHzYWvq5o2DT5trMTAfi0SrdRowWKWMqzNwWtAWtVui1Eeyo389vKrIkI6LqPDL7UxkP6nV8m3MCYo2jY7y/d42IQcEr45xX0fqCO2iUgqYApZnXYJihZchhQU5JOtjOFS52ykzw1LmmTB7fXi735vfVslOOw0LS+XZhrvpavix0IRuWa0mW/mZMLVbv1N9PM9bJXQtWxlmkteTye0s77lrECPJDfF7B5kHbA6pTuBqBTYEu+DrBNOR5Uyb6FdYlxKteo3qqSkcN2D1T78DygRjkHra9/J6CbNo0Veu0Kbot3rvwyaDiqcBPl6cHtx/Z7edY2cd3ZBndQwilwpS6/4IFriIdlBS2rCtal2qWfkIIXJq9saJ/w5sFr2nZu3gI4q9IFOf+s8/HKXVNVZQesxge7BWivTrVcC3m/36peSvOsZaorYfWp6Ve8OB/X73f9o1dA9dBgHCdhQAN62x4flsP/iGvDGpl//FHUAvw+UGYCRN1c4o4q3AG4m3prnqg1Pbx1s7TRHLeWEYFLsMBdcwt49QWO8i4GKqVVEDNVn67Usw7oUp0sJE1n8gzVhy3aE1WPIto5CXzHVzs+84TloLTKV2cxoMI5BStyxWpBOlTLB2EsU8UAmZUAeBDmqtjOZNA5pxkQtTwP0L5SzQAtQMyBvg/yPZXqy8geIuEYEtVsjTRTBYmQMAUeJDqAl5J0afllm2I6Jc7YzWDSNW2y5XfSQcGZA1fqKWqXDXhZYVs1C4AlnHt9IKIu++XQcutmMIfQWA7csV2T51XsnPN05W5K3Awsiifz9wY3BJW5s1EJIwFrhTFasG4qY6NQAVXBDtYOZNy4FhxwzA1xBGQufgBVSdMHdB+qrULO/bh729JrX7UElBVT3Iyjj/2l91a4Rgr2yrdHC6ZB+QWXDJgnugJVgAvx5cKr5fpwFgFQ4FvKVEgHRcukKne9eWqLtR/YT3/2LKgjsM9i93MvPHFF2gieCuMCNeQKteaFV7Ew8CVswBgBnDU/kkE0bXMGUgGxvquU3Q1h3Q8S18Jsy3/aCVs3rlSl1wA+K9uDvCkn8VGTefo4ODkwefC2CpRqYAu/0gjsGXwrMD2qcJv2M4ZLgg24pW0VuPXcqY+2+nKDD7j+V49P4morzFHlD1eFptwU5uHoHx8bZo/+/e2cStfAtkoFUngC5FwOa3/wyrcqVHiFur6mzoDT+mXRUbkBrDL7AEkZq4ww7ocAVkDzZ+6HD9absuen7alVn7YNy3yqTu2idSUcUapDn3Bv4K/zQFlroFob5PTKKTah5ANauO5QuA5+VyncPeUrTPPy5cxKhy0RHIDLgvfiu7UDakE9Sxnry/GRuLvMQ5myvAG+gLirw+OuD9QzgNbaKVekVSVbtgWm677Gr/BUEBIwhPHaUYLqbWAtYQJaQNSJG0SDiTdwRdivCtiCFVyWXkqH1F8BlmJadXocrCnQOmp1n0LeC/LtNnjY5w+YdY80RQd8K4gSONdLovC24I7l9MtHd/BNPwSDnfKJEZHm6g6LLdYWK3zrMJnz2Vr3ABn3AhmVrLXpVDK4T9syDn/m0OIZBEKeLG7L3hHI55y9UEaeLSxFHohKrLCFDKi1LgMbL+4Ap4QBdUuU8mt8gLPEC+ytrxcwcHX7ZqYCBb9v6cl2JkOdMsbWvdAOOO0Hax9qt1Crx9Rxp/5OXbUr2K3gwyWToIGkFBjjCG0ZYkMF2l8MUbHVbQsbeJpwR+g4rcy7CZgVuKuiNbCF+nfJhBHUhwugmT3DBsRcW2GPkOpMBtvScOi7WPuOcO3ZeVekSScW36nMVoBVuagwk5kMq5LNVesK2TX/ug3nu1X4CogB65JASM+2PfYGkvRuG/ggrlN2rN9XVqPJsTSw7cHRqdAMbALLRMGiVZyHwL4L4gO1vFGX6w7mH+d7lUwIcQGsNW1J38RRkk72o8LtpPVtMXEjhVsfIgZ1FdzqN13MtLG1HgWsAFhjfV3yfgWBuipc862FrLoljTNtc8rX2JlgutfuAl0mPPXXgAHKlSyg8y97cRW8MHBuwV1dCoBTvTDxTrUCBq5edcOAWPNL59cZF1qWdmS5DSqYi/7Yo0Sj6tzzVb4LuwbiA1dCClarmPpt3Fe3txSuiaqsWEkUrp2328SFSvdCeI3nmmGvwhUx4EAqxijYW689MeGbcmTEMAsirHtB3h5G7jzBpAXan+eR61MhzIT4zLPXShJr37KNz6/dGe2cK9JMR9bHuAJVlGoXtmhdCICoVBgl61Wv1OtUbi1r7VZalubXdrXtLKVC1LsdUJOX4ABm5oJVHinw9n09z2Br4WbT7wXr3nosWP3DI9TDoSwDZu0HpRuY3tFXlTdSuJzU10nbb8uWwvUF6l750m8GywSgS9mWgTbZW98YBhu7fnOCmSrG9XEFhn/DWGyp9D3vVrBCwR1ys+1AfULbhC4RfR+APwrg38F6Pr7NzP/dOBOePk+XCzCjWnX+XgM4B1uwAbHk1ae4cynAKNGwb33B1pdryxrvr+C1fluXFnbpr33FI+eKsAGcB9dQHXdU7EixWqhfC9a9LogI/qoBw0vG5Vo0bgY5WIS4cO87YO5SuAV9HbACEa0exBQypQqX27jqcy3qlYDyQ5UoMxRWxbqAKnDrv0zlt/bKSjNe01ZfrvEN174hD3p4BavXLZ49f8SchGZhZ7A9SvenAfwuZv4bRPTzAPwYEf0FZv673RyE5yvd+vjnAk/v0wVQwKxwhds3IK5xcPBcFa7cDUbVwoO53e+Dusa79qtPOII2Ay8lcB2p0ZHqjYCsccEVsQ/gI5fDSIEfaZvewAqSAF4W1CnZGvXp0moM+YAxhE2CEVjbtAxfq6TdVrh2z81UKOCv08RK6IcZbCPIQJlxRxjYistCrpPUpqIA0Pm4/ojjtUWzvW1ngfAmdJn5nwL4p2X7XxLRjwP4HgB96ALP/TXgRM0KyBrwGrg2sBXVW8pswVzig++2+nrLDUqmrOqOKGVlKhcwg2YCWtJ3mXbB2yiMMVxzMOdAO6JG+8q49dFuwRumjna/3w7oqajWqtZyJTimJf1mlJXTgeWutHXDQzKFsNlIHwpR4RoIy3tzqyuhnJtFjprtexRUplqwfYT0HwAu4Tpb3R3DMx/7qoLtAzYx45c4C2itHfLpEtH3A/gVAP5qEvctAN8CgJ/5b39X28MfalzvhgpCEMSHK1CWG4ZL3BplgIkATNm3t3UBdd2H7NuOY/f1VYyyr1O94MArbgJhg65GK/mY1oV/JZ+AV/psA9sUhGa7gW2rRO3N1YdygOvVdbQPgmzQjBO1K+dP1a402mwYYnKtVZL466fdOSo4rkDTcmBo6wFClWwGWGTbGuKYTV55uPu2VnyzPQ49p3oOyvksx+bGAaDTv8xKnVq+lCAlc1W00H6U3vNbAN3iRBv/7iDeDV0i+rkA/jSA38nM/yLGM/O3AXwbAH7uf/jvNkvgH2+kHZwUlJWfVakWAEu68nbnNV2BdolbO1sBOq+gJoa6GMpqMK7wlDLWOBlhW3/3zAJVfxlCe/UKWQKvU35suno/r+AlMgMfBFCcp3sFCPuK2KZT0PQVa1tv6wcO+Vy9Jm4wuyKq4NoDqqq0N6tcS0CPVq/jmtan1g5tejbVXubLKedITftURKs2oU1fK7HlGmjDJbF3nNDQpAkzEUQBs+417dZzZCXCei4sgO0Dx1q8fj78gCh7PkxuarugS0TfgRW4f5yZ/8x9m3QLI4DNgJZctQpIA9LSg7jkAa1fzaq6Nens1K0V1Baoa5yH8pqODTQ1HYAA3urHNYAGiqvBghcGtAJoAFTScanfARUZQKke4rGBtH0AHSnWXj23mQlRL3fhlwmnDoArzDRcQRkAXCvgJr2p2dRDpmwL7QBaW4trjiVfkieDtuzHaWBNe/S8uhDWa15LdarZQJp8WAvYadb2zF4gAH8IwI8z8+/fXfITz7bhnfC3qhILvno7iWrFGl5vQKpf6Fw6MIobQtOhQFQABaOQs3Tqg1XwfkChuWijV6iWqmV1Gpiqql2SdEMIDgeksnQjlVy2PwFQze/T7wW1PcaooqwzaD114Ys5+TwOsgFM67OsA2CwASXZbLYg1zYL7VrWKA+H8ObrPGt6BuxAGgvI2ShdiGptFW9UxRGktotntzrHHQrhJqxJf3Lbo3R/EMBvA/B/E9HfLGH/FTP/uVGmOHr5SKNU5ap/N8Kz3LWrCq7uBaOWLcXL13kWNQponqYOlDJsuh6g1zQftCrozLUg08eIYXy5qGFUYN2H2giKZnuoIjPY2vC+Kt4D6m5du5S7lrtuwSwySQBs0krt9ttMVLlATVDzKF+jl9UyNQ6eeqi58gLoVT2E8Boc4iimI7SqVR/IVo2vbfYqu3bnAORYR20KkY8LcI0WYb6V5gy2Z/bCX8HwtL2qlVumdgT121pFwEH5ylerEaBrmSbvyk1uAA0BtNwQzrdbXlwj4O1A2IG3lCNvE1vq3VPKVNE79IHuAmAGTzk/nbAcwLbskYINecsh73Nh2HZJeqVHvbqVZQmApULoObSrxbybQY9PjkYjA5itRWhrc+2GxnEMh5KwtlxSs6+OydRHhX/lXMeqWdvGBdRUo6xitp+lBNN13dGawbaR7QFvbm+IJdxzRdoTzTJMA7IOUbqQAWv0+eotHwBtfLd1pVotx4OXzbYDL1Z4dsELASnXV+75ATjx5Vqlq8e5F1K9AbEaNgRwW/a19bmyOeTthbkytGyUePnXugycyqQI4BZiVg0C8nxLACz7HMpzfY/b8tjUJ+U5hR7qCy4SjbAqOJwHLufJHU8W5iey1duIDbTNp14zPZ7aXzaAmz2vtu09QWvtbtB95vSFxt9qwKnA03g35Su4F9YPAXQLRCIzUFbBKnfRum3Vdg+8mWqVJmnP11/7Xf27Jq34eUtVUTkqoMz2SE0ih1muXgdgNvW58lNlrOGbsO7Uh3rc0hcC4BABFoAJNrwKAIZeuqY8x4KgWDmJk/6CJA61Eh/nZGmWJ4mr5PPfAtTlYOP0fGi3028h7hBr/9Y4W709hxLAsakdaw4jHueb2ymVrvYQc8sYZevijT/WT/MKkA3x9SU4HXVrt3WGg4e9dRfIdDCCqtbGp2vSWv9uVbpYfb1sDrP3FT8Lk84+9rOG+KEyvm2d7cOg7zapV9/cwbU3HHUZ1L5kLcLNlqEQjoNQ9RFvwO3KjLCycZzENfC2UKUaZo/Nv8S8JA9+33pdTJM0rdmO9XZsBNlbpH8nu9+rHZ/4ZIpKpoFdBaPenlEZR8jKnNy62q2nbqOitWkz365NW+O53jDVtdBA2Byg3FwybxftKx6BHjgzH6uFZJIn3pyiSjkJK+fPw7bEN0orU+MmPlHHvo0ecBYIDrBsTyHpJQm3Opk6pPXKvY4Klq0Ibkng7otQJvZOFTNxPXjXMNI0bGP1nNauC+v3jdPDyKlg1LTy8A2HnZq9/uM0Z7b7uRfuVfAOW1m3wqveNEHZoobbMNn2CysE2Dq7oQdxBHCiKFIDS5dWGuwhrcAvvdhBWFTt6pJQVazzdnsAy0C41rihIlOVWsrrAtjWa8rbrNc/EMb1JsfmIMQGqBreKFz28QDUTy/7Dugc4Ejmw4d6X28EO7mP9q5pF3GYBoa0oVwGrGtB2rKWp5+AP7f2y2D9Yw9aB8Z6D2gLep912+T5Gu1+7oWnUxceitYs1Orj34LOLIRopoblkN6CcD6zIQerNkvqM8fl2gNXhwLZ30je17lvcGo93NylkINzSzH34NyG9ev2dYyOT05YPkglW7YHBFgaB2R1CZBNIWbKNYlqufEtOBbCKBDmNi4CvCk38/mmbSznSdwHBrS1RANo6QdVuJhW2DtG/yI8W5D3jr+xZzLjgXafl5jjyefPuQ5iWICwAyUMsD2EG8hWWdABswUv5D0JFqwd8GKdJUGJf7e6GdgvkgDsYem84B64uhDsQbMcVgZNsC87g20O+l76ANN6WEcUsn/uygmKwHI9YcvPqw1p8vkelfQ7VxdrwX5D4V6TRUBxms/Fu+oVqP6BFF0LQQlDlX1zx7AW3RwxI2+WRA/i87hBYW9s5xxIq5Yp0RK1BdUKTe6n55KuqN9WHbfgJVq79gpTmQpmXAWAF+cdsH6E9BRA7WDHur3mNqAaKE1JmwHYl5ND0MG2p5qRuQo2Hg6Qy5n7rTWtnkMPxgSUbE6vaEDyAJacNsRPDyspaABhKbseM/s4x5kkL3fiqf5Tonxa61oA++vbfNZbxZ/f2K9sfTJDx4fLw8rPXLDxafqT2x2h+8wTyPALHKCd8ghUa9496eX1eQphYI9bQerJ2tVLY4/JlG+a1lWN1wB4JwB74Slse8rV1BXbkLkWenVZa5b+yjnSFI0SJXOuNBVglwFrqN3j8M3frkbT8nv5beZ2aXDMb9V7XraAllmhGefaUo3XcHkY2rR6hOHh0/Qp88nxXPfjY+vTQ8pOw5vZKQfSxNqZCyXCbLdzaPtQ1XIyOFogJgCNboUAZye97J3kAA6jbkUlo7oc7Hbt2J2v33JTIQuX87ITmHmZ969v+JAwIRFTEVIeii2AXZrM11vzuo02DcfyS6C7/FGssD8AG99AvFW69jfR/EMqDmx6uNoHTg+mUo1vrc2P5rw0ZcRlw1+B3Qe6jOdSNxs8w+orjTD0L8FBA1Vu1G9PLe8A7051O/LpKojrYZltDoAqx12rG8el4QPlWdO7qVzXAPqYIt86RoQ8+pE5C0xP4dYN4YEYIWwhl5RP9R+4hKENPohdlM2/1skhaa98e2xyTnuzFswna7zk109y+1qjPw+myrRlI3smNh5lp/TpqlPeA7Lpvg6AubLtL5oYgVfr1tVxIU2jbkuaClVJI+G2rVB+M4KfWG7+o7DsgXYfLD34tuscl3uwTo7h3ijkBaCLW2w60+ZaA9s0BkZBZTYQBhJ/b6nDJUtAL+XJwYUSWqD5o9BgkpMJq2glnQeqbY3VBT0l6svrwTI+HF1lB+xMMD6le6HeDwFSqnYlXQvPVtlKfg9hHoLXNKSBZz+PuGYpth3SpAJXMwCXqd4xRDsqsQHXTogGWKbphhAe1dsJb+rN0+kp8b3Rqj0Na6eFeRgqYpSFXhGu19bW26mDfahPlEA22uZ0MfOgXntUCS3tNTCOXa3umzhxTXBzDUxTTDfMrsNu2G6Agzvb72TnHUgrUOTGnSDRcgt4wFrgcUf96jLgAvEhVG2T8rK4KtW2LC4LNWS6mD082ZZngvXrxlH8fcpxBOgclGkZG77Wo6p1t2vBtd3CUK9DF8L1omuNno0bU8OkpIY0ppLknmhcEhzrKeWQz9WaOXCjZuvDIRkss586u0Hg6hUuu2pK2rAoon0wZm19Jhdew065OMKKGHeJLWyFeyalh7CsSlPwdn3CJV8GcVtPD+JkAItQJ8UHhxRoZkekir1W3wPWXlCW/QDKJm0Dy1DGqO4O6F1ajmWO279um1u/tr/EU5ZKtauFq1V+mtC++rBFjG0HlQOIt8T6JcV2wgT2KJq71m9KdozXuhir62zhGN4OmokWYG66bW1LTdOcG3sNfYv95+NNxkVe0c7pXpAeIw0JAqSuxA8QrC80HwE2Uc81P6x7om1D3QasDOu6FcozQr9x2jibx5QneTKIjSHZArob5yCsDWvquwqUJu0Vx+ChMAAj+3olZxyNj/Nya+sYscSi/jRNDQv11PDgJtieIhYieZyG3fGXTyYH2fVhGGc4hD7gBidd1/VHavuvi28Dn8mHZ9spB9IEgpy4A6riIL35KpRNp6k3ZgPOgfpMQGxfkENJOkbrVlh/fdYo7ZIv+nRrONTHS2RhpTdPF3xywJsQ9jfPWK2u56kph7O8BmpbbTCw75Zj2lDhQPUfA4xWm8kx2CNgm6BuRhAbhZplkPpM38pAXNO5NoS6aqdtAlsYcgFm9eGqK0FarWrWvF+BtV6FbAZOAe2ah8t5boHcy9eLH+d/dzsldOtNZyBqZzQIzDhRuU79Ihs407IZJq1xSXBvFkIA8dbA2lqRtt/5dKHJKaYL56GnMNO4AMiuyiwN6MU5pZTWpZActmOznPx4bLwcjIcS6YMXwNDPawrLpoVlEE7rawhiYsnm6qczT5E8jbn41p1gj8me/6p2zacDcKihnuvwcI8tZcQ4cl2+B1yX/qR20peYA9LFuHY1haZCOQLVADnAkGy6AlECWj/tCLAhnfpj0ULTztlFUepucA3OtSD5dOnqWF3qtt5IFhANTN19f1wt17AE1E16HsTVcjrtRGuEeHwlNftjrlv1HMZyAoiBdFqY1BinhmkZbZ3mCZEcwAaIbVmBz3bGgr4ztxy7cS3IubMDa07xGtj7c7ABR9u3B0m+Jjvn7AVW35xTu1HVroFuPYPO6SVkLor6RdLMhojqOJ+Tax7zFHphcCtIGbU5Ja3s2+XG1rUgX/OiSnFASiEc0gegddPXsgbp2aTP2lOPbQTr68qSreinrVA0NayhMPUYCEt4mM6VQVhaY891Wif5elP4S3jj+w311k1TikCV4R50VeGGh3AFLfRhHuFqz3m3byTPgpg+HmdmZwbxSd0LxU8aXAbuphJVCx00o0I2vUlb/+062GLhWm4yA1RC66aI08cawFrVC0muoGajwqs4FsC6ffvrw/tUpY0f30zXl+fSJzd1Wv8OBe7L0zCX3hDZXAKTtD8dzIUbems4a0ANH4DYVdEDD4eoQTrX3Dad99/q9jp9DHBTydhfBzlGO33MhYfubfvmUVXcPlbOa6d8taOHq4gK9eGuUIS5UfxsBaruhRJrwduAuNS46bO1DYppoSesGVxToMrBicsBpliBry2rUaeJokxBxjBhLRjrNidhWR4ewNy2oVNe08YdD4BoUf2viTVnc9NTDO+AGHr9GhC7IjOQ5FPEDLlc2phkCOMygOZ8tQWuCvygcEvBowdf7CMWyDb+Uwx4JjweYKdUuoA82UvnI1ZwkY+Tr4zybY8b98JaXhw48yAuSqHr2y2F25kMdiUavOrVBlnACoyNuhV/bynbDqLZ86Dba0YP4RDWy8NownTb5OmCOAnjtp5xmRsPgVCmWPwViBqeglquZ66+6hUnTevCTVoXlw5yULqZwzgcFzcbaVo/HSwMokEkiAeo9DMBMSfpbT39dmbKOx5lHndmO+fiCCQCsvy7gsqwzQ6mgYt7NVe1680TlGpVnAJMhWvjWO4oW1uWdSsojJEMsBn4lmCCKd9UkX3tt/FONXIbVstAuGk2oWnCknKz+vNyB7DlXrwR/hmIEZf9SvgAxDbcZG4UcWCpba+vC2B/YULLY9AOGIc4BtwAmrgVuAys6X5pRpWo7aDkqD9YaDcmU9X0tjoE6rPZHRdHPO/kqW82zkbQm4CMAo6+2lTVlszWX0ty61bKJ3AV+I5ULzSKHHxL9gS+NICvtRyyOTD9TRXydeGWgLbxxeb5LMC2Hga27GE73X775NerEh5+KdBQT24bl4BYQhhJHLskYxgnLc+eELFsCkGNn7YdRJM/SratCm4fni6hg2m8PiN477FnsuQedlL3gozqQ2FUYCggrrCtXz03VK2Bqx04W98iBiCsSKMCy6Hq7ajkz8JXbAzLDkA53jRtvn3A3C5/Mx936uy1i6M60zT6BaMH4s50s0KZLBdBL6ttmZTZbYs7rrTWgeDrpO9EechGN4GFcAAyZ9cYsOcpHt8WbPOj8Sr3KJDf0U4JXcEkgOo/lYsp7gO5vOpfVaWYgXeoamHCbgBXiS8NbOKLd1dFNVCVep1OdjXMkOT1Pt1+uk8AM9SxC+Q1IjsGiWnTNnFgG+zic5VlVHFDif7UMC0z1hLrdA3ut8dtJrMj5Gs9Q2cnsAFq2a7dWrbddbCqOPfn3kuJnhXAp10cwaaL6rd9VcAjsFr3Qo2HqNq1h7r3LMBWItLSqmQYeNqpYS1crTy3yrbmh81i4AuE9zD0QDSAbHKzxbx+X87NgTpCAZtKuubZo6S1Hh/eA5jZYx+HCDEHuJ4iS1wU3LYp5pHymzZt5ek1MLRIVacfNNOHjgeqH3yTfWrKRCjTW6/9bTh3ws9q51S6IlwERkUSrmpxAF4DVg/jkoqNOwGqWivkU1ULeBeFlbQtXKXtmbL1g2ye15rH1JvAIYfkBmQ3IdnW1QellhvrYhPYU7qjtvYf9FQ/LGjaI8jbKIEpjG1+6sNYSuzCKc0YFDLZvZ4ZIAd1W19000DTTh0zeGWJR7kmeh5XBW2eFCRl++sj39KOaLCzKlyxO0GX8NwnV7mlnOtAfLYevKo+I1j74AWA6tt1MlPeSWpVK2BdCqVhUBAofLM0Fq75DAfUlXJ7B9FyQLbhct58eUkZbOMOlLFrUKxTRre9Wkbz+OD2GOyWQm2kjPN+vfr50yg4l0OTfQeQ02Z10R+yWHVbWlp2JK728wDl9tqMHpq+foW4CS96gDVB/XvmN+NH2zlf7ag4hK72MuAF1FUA1Dm2HqwGthWapnS5gxqwlnDpYWsFiGCtSDVpdH6kKuqobCvfS5Vr+4zgSJjQThmTNmY3VnJDWZUT4/aUwzYuK2cA2qbda/oMCLEcyo4lzWFB7tueKmNzCBrfFxnO39rcGNnMCIka3UVbarfO4IYoWH3UezcDmzbYQTeEMNT0nUPZEFrtWd+wk4L4lD9MGVbc1tcemG9CxQXbB69ODZObJs5IKKWHNBasLg2wG74ujVG2Or0sADqoX2jNxgagahRgoiw75QDQB1CSfjesaxuuaH9tQ2hXG2QenFmaDoxjqGEvJ6ls0vog71gzAOaaI4js3U4m1FWhqjW6GJyiNXFrAXpN7AtxJIxdNYQI7761cU9GxFPtlD5dkXzuHWPOtaBfBxvwQn20qaItSnhPmnVzB1jJtkmmIhnvWvAV689qe/Vbb4pAjJEqBXYA1inV/WW5+MS/q/sHgG0Av1VW2rJUOYv5OdOxZE0VQ9s6ydWzoViHwm+n2k0fOn41WhsuZ8WAGbSCurkmRuGyuQxyr5XuPYbpXiW8Ze89teyk7oWiZNFzLQTFC5mJUHI3fttWCVtgrpZAFXBl6R3fV7WVDAZSGVij+vUzHdxHtQZwLkHPP6p5smtqp4jtyTNWs/bc3qY8jR3dqIqY+JCxJcgWN1EtlHNMt6Wu9Y0wlbSb4m6+mMKuOAMrfFW1en8va9ZwDB7YcOn7IN0D4COceGfQWjvlqx3NCxg7bgP4wbJBuj4sgQjoLlQBoKxqIye3xul66ndtr4V0PXCjrDbA1oSJhZvBwbSjYkvcFrRrmIPqsTKztrRziP1i3hG09gDZZsngNoSy3SP3kZ6f2Mz0CLYobJKJmmVRs4BzLdg3jbk8FdJahq8nwnfQJtu907Rfl53y3QtogArj0zXgdUq4716wPtM8HeqcWZtuCFXsUau5+l3LtOrX1q3WhasBxVC92jz+BOeADQDaUqVtmg5kWePz9vTa3Hnws9a01U3rVL5eQa5l+bny9WZpBq2gUEbXWjArcAN8zb6cibWLUXMdGxhLvmGTWv+7g7PXBBtH8zzxdi8756sdo0ItilSCK1AhCtcAFbQClOyNzNoRncotcfbGMAq0gS84uCNQ09aeWDu5mcEwBHV0P8Qeve9reZYGoPSbb1fBvlz5sTabdnwzVygPC00G5Jpi/dFsqsKY1pFq3Ja4GQfQ/Io0r1Sz2Q3oqNuajzWeyUO9f2yjb1lfh51yIE0BZIAkWpIz8MrTuwVqCmlgP3y7aa0C0rSivLO0ewFsz4Ovd59KbNP14adhvuI96rhXz646kAGxrcODlvOINO2WwtJvSElDm1L7wIXpH5pjqJiHafVhPlS6FcYI83ZV7caBsTEctY9pU/M2a5nURnwFdkroAgpaVa0BvIB/+Q2i20Dzr5Fe0wh87QtzUvhK761B7NKuZSQzHAD14bLB0Q4A5+djj8II0OMs7ba67AFrL2AV2juUclrTuM4YoVdqozR7GXfUbc/EMK25ZkM4ZyU1p7q0zqncFr5ADmOUfAR5qBWVXIq2MyF8eZ0mbgD4mJ3D1XDHdy887wS5F9gIeCF92/hPq8JVV0CFnH37GGDKCLeRzKXM4LtGaHrpuQC8n7f8Y4G6A8DyA5UMo+ylilRtAiNYHAHrGr4BV3O8t6lzT9tjWb2SttvQpK/fFvZJsjrzYNet0FHOeUtstk5pCvAK1gJhAasFZgRw2mirZDlP0mQRxey6c9snGjXNaNKcxU6pdJs3hxWkxlc96vzcVvX69yoA1m0wgq9/6wyAjlK279GtmLVAhZ/BUFelATpgZkBrfcCjG9G1rQn3gZna7Oe5JVzXdON27a2bki2TltxeN3cf6qM8+8nRf4lOVp1eme75rn0ja2uBaiUtaZipQf5glXANr52zmaPr8yZNP4dgvdpOCV1AoMYtZNmCS3CFoeqtKiTISILmqd2zvk9ACBrUbE2PWk6d4mQAbPPoVLN6cC5Pnb3AbX8eQ3AvUDXtiB8jMI0fBvdpx65zkUjRvk4OJVC+u0c5x3xD9dxEbZdbwcf2L87L9bMZIEpYAGvSw+Rx5Ut7Gpj2YH/8WM5mp1wcASgQiT14gQIpUUxErtMLfN07eGsnjCp3Lc0C293y9rtSIaQAfhPAgFuVpu9XYDeNqb6PV445gtu1dHzGRiP1PXW5p+wR4Pt5Pwf5cd7x0WzrXk24G9C90uI3qZ22BeoMqhWs0NkMvbTtN43M5bA3LLbL739tdl6liwBeQL+WI7gWgPrDkDUfm5TiOWjgCzh9Y1XTQQBbNVsxalwKPUW7tt1s21kTzY2Tn6fWaCM+K+MoVDWPi08SXw/Xfr2NCu42f3yGdgM6iW3V/9EjSeqQvsDhLwFwhW/pn1bRkimwUbtmYLhVztn1GpyLzes9CnxPu+PiiGd+bbDqVr4SWXUbVC9QR2qJjOqVvOzh63p2DQqa5yCAUZOYdEEFZ4pWXSDmRm5OfVClOzqwJrkGppp3P7TbvMfq6sF/FLqnAkq2NtozeDvYGNZH3BHRuPlop4jBuRk0HWoaLTjOWpD7KKhVqwpCa2y52zgYJzgRc8/qXuipW1GQHr4lZRe+UqbsKoDNa/lE/QKIg2Z7Aax+ZlGtJRzUzL+NbgWrhG2z2+vwGYii1rnH9qrAI31lS1X36jrWH3eCupu9bd+2Mt5RC/WAa2sopTQqd03jlan0ev/NZqRsfUtjpxwcVkjDLriXsXXnnMFO7F4o+Cor0bTDGgTvgC+A4N9V9atKVdOi1FnTuX7TKmCHztCpok+3thuo08VKqQ7Ce217AYBr+YZdD9I2/Xa77nH/OU3bXo6dln9H2F9W/9j9D1put6Kq3QbA8iBSAvq4fEWae7sYEleCvUkOHJfLbpT2MN0b2ymVroORaIPSYdT/mcAX8D/HU8pS/y7M28jgvtqPAKwZjIp1cRmEAefTBVDfowvo8ZQSdeZFa9fe8NdewyPq+nN1HXvI+JxtzSlADpeblbzZiMTax9ChBypHNesBrF/CdOWa9CkdtM3LiKq28RV34NtAumtHvsm8n53yhTceroD90h6nzTr4wihKUpyt8fIkpprfuh8aAEum+BXMnpgOhP0UMgNiDulrGzyIr7Fxvn03wWcv+VB577wPszaMH0Sfv8GtA+PQORgmdrr7qm8OfkWahaf4eWOcxmvzim83dOPalbOfKoEAnvq/j8a9B+aBh9ab2ilf7ZjDFcjgK2nsgk11L5Q85G+p6H5YA20XiY6rngo27YWCXqJ0ahkaJbtGGfeDOZae3aMT3xJevry9EdZ6ANhdwL4aUlfj7fu7f+wfswhStxrNxAESXv7I5IHvwmuXl8E534/Z5Rudi9D/w/3ZO5Yz2TnfMmbQtAVfACGNfQJvA3gNhV/2TD6+7691GcLiBj+wJlVqPy36l2wJcA+TW9pVxe7i0KNutGNQ7KX2X1buc7Ldg3VPu5Mk3o8blKwo4ABW+SZnZzcoFP2qNMCXG/2/TQMbwOZ2NsBmdsqBtKr6MviWf2yH7qnfLQBLugbCbJUzTF80FcQR7gJq7ZuqSlwR4Z0QkkDTcciQ2YO+wt2w8E8I3auS72v6bdWth21mnZgk2EM2LoTQh8fq31X1GiHK3Km1uBa2B2NVImTl+IfY8JBOY6f8Ycr4RHXwNRF7AQzADLCJJRBu+p/2dLbtiL7amrT12WpJpZXcApPIptohJ+5i2fE/2A4e87HkNzih2XP2UA37T3CuchHeOmaAGB7e+S1sBt1Mo7PfRvMqOERkx3NmygY75+yFzjd7vw5pG8DrVtGxocz0BSXNd/sOiEy6OGim4ahzjU0LK5vdkdQDyV9v0ti94HjLi/5sgDd2fYOyLzrJ7iesLUngWH25JlWFLGt/rxC2X8ZE7VoFXBSBB2r0B281l567durJdifojvw79zc748B+P/cIGwDYPYD9ccQpZl68+s4tCavOppCpbK11R2nt0zmL38lMWnVPDOwzd/ujLuuRNvaodqXd+hDvL0CSFhOBWQfhvPIVmML7b2GhadxbiSTnbMQ263zua9uVZ/aKE0ijEeUn2yZ0ieg7AfxlAD+zpP+fmPn33bthnzMLP/la7qM5pPfKsQWgOihaSapvcnDVo+lk3O7YFXMxrXle2MqadsRVp8M+epDIPY/J1XaPe8E8AW9R/Ot/0+XN81h9tdWVoO4F69GS57eFbfqSHAquBeNWiE2L/d++DiQ7t69/vm9re5TuvwbwQ8z8r4joOwD8FSL6X5n5fx9leqp7IdmzAG76bAJhVw6reo4VrEp1BNesQlMId9Sp89NqYLasP1fdnQZtXhifu0m+4ZfctGs6hjkXW/V9HTdwRjtvsiZSYasQ9W8ZM75dVkDaPufcDjZObifScsXVwNQq6LaNX6dtQpdX2fevyu53lL/t8/XEM9qHUDsI5X0F/lt9V/NZl0EMSG1wk7i62PKlrVeCe3AtsqStKm/cVd/ANlR1CvxPyk8y5+JzKv7rMa9o5e14gH1HblWxQbVmL8TRchHcZORUgy236faJCk7vyaPseDN67/LpEtEFwI8B+A8A/EFm/qtJmm8B+BYAfPmF/9boRUv3N0/EZke+hKZf6wndi9hXkP27/S4cSDp09mDxGZJQ+7C5d0MPln+4OYPr9op2/QLmnVYAa6nJ4suqy9oLNEuY7Pf+Xd89remAdd46mXACqT+1c92PHHlM+0aXuGu7oMvM3wD45UT08wH8z0T0y5j5b4c03wbwbQD4Wf/+9/Dl1i09YuHKpHD1kU3e7Zu+lXy7QBEZf6QXOcfzgXy2iF4jrygvLSr6bawD8Ug5Ryv+vKB+sN23tcTApfwtDCxM+IL188LABYQLCAvW/QWEhdd9/7foNhfIgrAAWAAHWiLCQmtagtku4evnYrZLuOQvEEcEOenfGah7aPYCM/9zIvpRAD8M4G+P0l4+XukWGJD0WljurfoGkG1dDjuyXgG/jWbsi+g6gY+802xc8VO/Rb2JkQHupYB2YaoAXphATLgQCngJF6DAVIG8mLAVossaR8v6V9N4wLptSUeLgakq6GURqMIAGFVFu+MKkH5H2zN74bsB/H8FuD8LwK8D8N8O85SL/VS7oRqikvdovYfylQyufVdDNsu7/f37EFzTOkbJN+o/hXp9HVvggUsfqKr2UhTtBcDyQVgIBrLktusfaRyRAXKBqlO2HZVbnRJkAGxA66BM/T9rWdir2x6l+4sA/I/Fr7sA+FPM/Ge3Ml2eDF1VQzsaEkF5qKKQ71Og3OeYJFfhkXrX8m8F1+NWju8BgH2v2/D2RlBXAn0AFyzVrbAAuk2ryiUYEDfwXRSm0HwCyAWEy2Jg69wH6k4gIizLUhSsAbYBLQxwUX5CS4Fbjq2jgN/F9sxe+FsAfsWRQgnPh27XIiSBQyq2ubQ7814LSmo29uUdD+11Mh9Srjus4/S9pXsgPa/TAEb14VaFC1L1i9XFcCEBqcaLSq3gLWpU3AoK6MXD18DTqlxYGAPVNeEG4sq9tboajK+4OiHKyIxRtlHlvgt477Ii7WWgS3qxqt30K3u32tyOgPLKurcbcdMsw4zbcN1/UEO4vkJfezFb3QsCWQ9cGRS7UAnDUmALXIr/tSpeKnCF+mYvcWDMQLUC26hc62ogUb4ogAU5pauDZ+txOLB2APsusBW727sXLq8gP3a+5/A4JLnNd/Bwm+Q7IbvbNTB0n+5zY+yr+DMDWzrI5kInXD9tBB08W0FrfLllf5FZC0BRvHZgTGctrOq09eFeBLCLgrcq3qByYV0NWOFrP5dFlG/uw42+Xgl7Rzux0m0b8JlL5AGblHRHSF6Tf/tYO+C9WrUeN3L/mAqunQ736RadxwioLgQ7LawCGIv6Z7kAkVFmMyyNi0FcCXVArboZoK4Ep3iNAjYgXgFL1acrrtt1gM0o2xoXQAsP3N7nK9vdXu14efZPsF95C3bckKH4nAqHBqi6kNwJQ+5HbZpzFAeVeQ+4jhpY67txf3n1e+/OosQqWXUviEuBHHBXl0JUuwpXUbuXAFCrci9lQMzGxfm5opgJfgBtqXnXNI0/twvY+57De9n9lO49Cj7Ugs+mMHZERW4Adle9OyC9y3ap1itcDb2qbuYWSNw33UpvVee5bAGBmPCFVhdDdQcwvMKFAvhiFS7JrAaFbR0EE4Ur2zJzAdHHKy6EMCWszkRQ1etdC2jUrR1wkzCxd1C31k7sXljtkPq8WeGfrIKb4b/DbSHgAHj2gXcI1kP1JeWmIRvLA1+kj72iifBZXQdmIK24FZzCBXlXgLghyII4wDZzI5g/cvuqct0A3KJ6VhdIiGsh+HWTgbO4QOJd4Hu/gbRXekvxTdWncV1sMGFvW/L8+xYS3O4s71S89/S39kYXD66pmLael6WA9kvRqXVKGFrgXkjdCjI1rM7HtWmaGQoGsItMIVvKIBrKvFyvcmWArU4vE0VcQquboVG7/UG0dwEucDelu36VeSX7dGuumbx/YzeB4/4nrK9YP+9q+NR5nnC9mVFxK1yAClyZc7tABs16wNVPq3ZXV8O6rb5e41ZoBtN0NoMFtLgLJMwrWzN4hjF4EeLfxe7mXvjySkp3ZLdq5g3VZ5P/2vclXOUKuI2P95qTsD/LpPOWLVzcCJB3KcC4Fag7S8G5FNz2qnwFsgLTy7LUebt+8Gwp6hbOfeDjLGgLQBcbroA+w/Jfsbu5F5Z7FXwju141kvzv7Row3rLP3LAs9ZN9Ar63Xt0WS0mc1sf82Oc2O53LvUuBJPwgcA147f4CtDCFqlo3NxcWotL/JY1NBwdeVcKtH/cd7Y6zF55/Yj7dggyunyjreAZ2e0M7stJud8LrVO/jztkNHg4ntfj2Lwvfxle7AVx5hWM7DYx06lh1I+gCimZgbVEw1z8zgOYVLoLajT5d5PneQAHfz73wAtDdbTdo6q2g2BtLumlbDiW8kbvhYBuOHfaEbzS7sozADXDjPNy6tDdJU324zeeCy2IXSnjXwVK3I2RV5doBtGbWQqcXvDpUt+zcy4CjPQKunynj1qfsE+VRundbqN3eHfCCfe5JVn2sDDNQtpTpY0v9Npq9TSxOBYug1eXA6t+9LMZFYBTuUhUuIJC1AF6qDxcK4EzRIlG0b3q97zh74dW9un3LL+WtX421N+HOl38f7H/Xddfr9OfD7D3vwbsYARWOdtGDzjagCl8L2YvMqZW8BrjiJxbAXqoft52loLA1oF00zqrchRavcmHB6/25zXG+gTsh2teldIs9tGU7K7ulS+B1z/x1Rt2daT0TP2zuv10MVI1aNdO+KAHuhYyiLa6ENU3048qAWhxUU7BGlVtnOnT8uNnqNGvvBN5TDqQ9peZbw7Um7ud4fje7jfq/hR97mjed1iWr0lTFtj7bxSlbq1ojcDVuCcrW+nFV6eazGnQxhFW5fhpZO1tha47uu4D3vANpN69+X4FXVXvLqQk7y77Z1K2bpZp2S1O3gZ0qJoNnRcliVZf6m2d+vq314Qpwre/2YkG7JLMVpEx5q9giYEWicvuuBcAD9l1hK3Yn98J6cl/Frpqt5SyZD/pQ26iRhrt3N63vmnXR0+5hJO/KNe9QoOJOWH22dkqYwjYqXevDtQpXgOvVbwEsRNnqHN76axECWQRfLqJrwU4JgwNuPcY3g63YeZXulg2al7jrb1b2dXbbdwMfsWNf/e88vWzabquwE2Vr1W581+0S9skqXZs+B+6lqNx1XxVvdCuIGFOlqyp3WQqIw4o0ORYA3s2AEJdA+VXtPtAlvMbsheT8H78kT4II2bbeviPdv2ve+Ly9/r30Urb6bq26JbjXMZpZB/ILv9V/u6gSlcE22lK4ZeDM+XEXVb8LLaC6FLj4dAWwaAfQ6qwFkIOwZeo7ADazu7kXvrzpCXG2MZB1k+J328HfE7u+ohvZYyo9QS+7m12S99wS1D+7IIEn9GVVl0UXPIjqjcB1roc6JexigFveOEYK8bo6DaSqF2jA6gbTgj/3nd0M95u98ApK98lGzcZnrfNy77foc9cp37c4tBc0gWrjVhB164AcZyMs9R5WIIffR1u8j3ex+4svp87lLYBdIdzOWJDtqHLleHrzdLPtV7YJ3aH1QXFP8L3yJDFnVzdn54KPaVebKEdxMcS5t3X6FqjOtRXwiTtCXQ0GzIuHcwQuhTgKaQgrcK3q9b5cr2a3VqfV430T4AJ3dS+8O3TD76w9BKovYDdo3P4i5qDbvUyguZiv9fWFNYm6jeG6nwHVDJotIQ8tPs9iwFrfveAHy5YCdr8CrQVwPbaw/U7ABe46kPZeJ6K169q/K9enTs1zfir3Plfz3fvI65pVsjpLoQVvBaXZvyzeLdAqW+oC17odaPFqmMoYSVXGi1G7EbIWvmEwDXhP2Ip9Pe6Fhyq4e9vh31tP7XWOZ9qtzcJWFKqfbRD3/QtrRJlGd8Gaz8L44uDbA+5C62wF91M88O6CqHLrsVggd3y772T3cy8sLwbdJ9unu4kr4D2+lr/3rfHeRgaqDWyd0l1aEJuv+1HlktteDgPX+YAFwiOV2wFs5vfdyvMq9vUo3TvZzS7v4YKeA97X7s7TxCx0LWztjAWrYuO2nafr3QnG9bATuKggzWFZX25eIdwH8DtAdcvu5NN90YG0975Wn7ebLBZ5BXsPpf9Ms8AF7KIIr1bXuADesDgiAtzmX4z/twdcN+thsfkyt0IGZ78KDZg+3dQuy+VeRd/JXvWlMuew+52LCeDMrFKMsBVfqocfvGKFqtnqpjDqlmRgzrgobJk94Fo/7rKs5fl5uWb6mIFxPK7e/jvY3V5i/n4+3XnzHrH7z9KY9hlblaqCK4etn6Fg4SoQ1k9y+wJnyKIJ8+4E8eFWsDbx6seV2Qz9ObrleIJrIYL2ncB7tyljyxudhNXu296blP7yp/RzD66XP7w3MoIoTQGqBewqiDJXAkCNurWgtb5fSHgArvhwvbL1L7NxCjdRtep6yF0L9vPd7I6LI97AvfCwa3Z7Ff0S3e0lGjEtM8FUnS52GLbGPbFQUL1RCWt8VLhOWRvfsVO4UneicntzczPwvguE7zd74fJu7oXn2nt0l2ttum4ebU5dogx0oVWsXdhal4MBNC0hrEK2lOVeauNf11jdCotuN7MVgupNVfAAvO9gd3MvvOTshVvZe13jd2vucTv9AR43+Tq+NAD1ELODZla9RtiCrG+XPDCNuvWQJQdbC+Zt4Jbj2ADtOwL4fr8G/G6zFwbX6vUv47vaVMD3MjcbYADWfNBMppytsI2DaBaoCtEA+B5w3UvKoYo4pO2qXqN439XuuCLtidB9uWtyDri83Gmd1rUKtTBY5WDZuBUE0NSFbXUlRNeDeSG599X6dy5EhZtND+tBNvp230ndWrufe2H6dKdNe6q5F4VT+VH2jgshgthBeABb5/8N6jbOUrBzgh1wXR4/x3gLsHMgrdhbuhfewDa71Hv0uU/aOb41PMIsaFt/bk/VUgrTHmxruW5f1W2cpUAUfgcNY+ACubKNboZ3AS5wT6X7CtB9meswQTHt8eZ9twa+JL/Cq3FxmtgqfC1EaRO2VdkmKjUbNLOK2KnfjsLt+XPfCbjAHX26l8sLQPfGdv2lndCd9nhzMAU1oI3uAwFfA01YIPandzULHly5rcKNwN0zcHaGQbU7Kt0T+nTf7/q+rc1TfQszCjJxHewBbX9fQSv+4By2CUQDcPcOpr0jYDO737sXTqh0p017J7MuhdR1cCVopdzMjXAEtv24z/+9st3HvUB4O/fCa1+madOO2141W9PuAC0RgTmB6k7YrnVdB9yz2P3ep3u521sj39CmT/cedp7b8PbGQAu0EtdTs8jy1JOsYXUArc4w4CFstc4ctk2bOrA9C4Tv+GrHN1C673vdpk3btByoY8iuYaiqGOiB0oJ22SwvwjJTt01dgzAb/m52x8URbwDds9n79b9pd7TcfRBBpqkz0JWYCk6Ny0Gr8UndRAAnAO4ANtuP6bP9V7c5kPYse58+Mu1NLQJ23S7/9OAHkw4bgExA29ZnygStbykbwHbPtt1/R7vTQBrh8u4+3Ztez+nTzew9b5n3MSId9JL9PYCV7SYMWTzyPCnwt6G6Jz6mjWGvbvdzL3yZSnfatGdbBKD4YmtcAjwAIU+rZHt5unGjum6U5l1suhemTTuxbUIsgev6uZG/m+81Pl/Z5pSxW9nrX+tpX6FFONrtCFYf5+Gaxo3yHUhzbf53tbv5dL98+cqgO7Tp0532HOv5PB3A+EDaO8bfoqx3sLv9Rtp0L0yb9hq2B3Z70z0jzzX5X9nu516YSnfatJexEbjOuP/KtpuMRHQB8NcB/BNm/pGNtBO606a9mGVg6sHqHmkfWdcr2xEy/g4APw7gu7YSTuhOm/batgWqd49/ZdtFRiL6XgC/AcB/A+C/3JF+QnfatDe2z0Lt2flf2faS8Q8A+N0Aft7egl/51Y7Mrz2b4Mwdbtpq9+6Dsw+9rm1Cl4h+BMBPMfOPEdGvHaT7FoBvAcAv/sW/+Fbtu4vNDjnt2Tb74Ndre35T5wcB/EYi+ocA/iSAHyKiPxYTMfO3mflXMvOv/O7v/u4bN3PatGnTzmGb0GXm38vM38vM3w/gNwP4i8z8W+/esmnTpk07oZ3w1yOnTZs27XXt0BQDZv5LAP7SXVoybdq0aV+BTaU7bdq0aQ+0Cd1p06ZNe6BN6E6bNm3aA21Cd9q0adMeaBO606ZNm/ZAm9CdNm3atAfahO60adOmPdAmdKdNmzbtgTahO23atGkPtAndadOmTXugTehOmzZt2gNtQnfatGnTHmgTutOmTZv2QJvQnTZt2rQH2oTutGnTpj3QJnSnTZs27YE2oTtt2rRpD7QJ3WnTpk17oE3oTps2bdoDbUJ32rRp0x5oE7rTpk2b9kCb0J02bdq0B9qE7rRp06Y90CZ0p02bNu2BNqE7bdq0aQ+0Cd1p06ZNe6BN6E6bNm3aA42Y+faFEv0/AP7RzQveb78QwD97Yv3Ptnn8X/fxA/McPPv4/z1m/u4s4i7QfbYR0V9n5l/57HY8y+bxf93HD8xz8MrHP90L06ZNm/ZAm9CdNm3atAfaWaH77Wc34Mk2j3/a134OXvb4T+nTnTZt2rRXtbMq3WnTpk17SZvQnTZt2rQH2qmgS0Q/TER/n4h+goh+z7Pb82gjoj9MRD9FRH/72W15hhHR9xHRjxLR3yWiv0NEv+PZbXqkEdF3EtH/QUT/Vzn+//rZbXqGEdGFiP5PIvqzz25LZqeBLhFdAPxBAL8ewA8A+C1E9APPbdXD7Y8A+OFnN+KJ9tMAfhcz/wCAXwPgv/jK+sC/BvBDzPwfA/jlAH6YiH7Nc5v0FPsdAH782Y3o2WmgC+BXAfgJZv4HzPxvAPxJAL/pyW16qDHzXwbw/z67Hc8yZv6nzPw3yva/xHrjfc9zW/U449X+Vdn9jvL3VY2UE9H3AvgNAP6HZ7elZ2eC7vcA+Mdm/yfxFd1w07wR0fcD+BUA/uqTm/JQK1+t/yaAnwLwF5j5qzp+AH8AwO8G8PHkdnTtTNCdNg0AQEQ/F8CfBvA7mflfPLs9jzRm/oaZfzmA7wXwq4jolz25SQ8zIvoRAD/FzD/27LaM7EzQ/ScAvs/sf28Jm/YVGRF9B1bg/nFm/jPPbs+zjJn/OYAfxdfl4/9BAL+RiP4hVvfiDxHRH3tuk1o7E3T/GoBfSkS/hIh+BoDfDOB/eXKbpj3QiIgA/CEAP87Mv//Z7Xm0EdF3E9HPL9s/C8CvA/D3ntqoBxoz/15m/l5m/n6s9/9fZObf+uRmNXYa6DLzTwP47QD+PNYBlD/FzH/nua16rBHRnwDwvwH4j4joJ4noP392mx5sPwjgt2FVOH+z/P2nz27UA+0XAfhRIvpbWEXIX2Dml5w29TXbXAY8bdq0aQ+00yjdadOmTXsHm9CdNm3atAfahO60adOmPdAmdKdNmzbtgTahO23atGkPtAndadOmTXugTehOmzZt2gPt/wcqs/QJui4PpgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.0 6.1080437 (1, 5, 5) \n",
      " (73.37237853, 40.786394969999996, 73.57237853, 40.98639497)\n"
     ]
    }
   ],
   "source": [
    "scenes, ctx, ini, end = get_scenes(products['weather']['chirps'], buffer_size=0.1, res=0.05)\n",
    "for i in range(len(scenes)):\n",
    "    array = scenes[i].ndarray(products['weather']['chirps']['bands'], ctx)\n",
    "    dl.scenes.display(array, colormap='viridis', size=5)\n",
    "    \n",
    "    print(np.min(array),np.max(array), array.shape, '\\n', ctx.bounds)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}