weather-data-history-analysis-sweden.ipynb

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    "tags": []
   },
   "source": [
    "# Weather Data History Analysis - Sweden"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "sunrise-series",
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    "tags": []
   },
   "source": [
    "**Daily temperature of major cities 1995-2020**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "measured-mistake",
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/kaggle/input/daily-temperature-of-major-cities/city_temperature.csv\n"
     ]
    }
   ],
   "source": [
    "# linear algebra\n",
    "import pandas as pd \n",
    "import numpy as np \n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "import os\n",
    "for dirname, _, filenames in os.walk('/kaggle/input'):\n",
    "    for filename in filenames:\n",
    "        print(os.path.join(dirname, filename))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "dependent-return",
   "metadata": {
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    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "weather_data = pd.read_csv(\"../input/daily-temperature-of-major-cities/city_temperature.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "humanitarian-loading",
   "metadata": {
    "papermill": {
     "duration": 0.018499,
     "end_time": "2021-06-29T08:43:21.888303",
     "exception": false,
     "start_time": "2021-06-29T08:43:21.869804",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Explording Weather Data (EDA)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "early-dayton",
   "metadata": {
    "execution": {
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
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       "    .dataframe tbody tr th {\n",
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       "    }\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>Region</th>\n",
       "      <th>Country</th>\n",
       "      <th>State</th>\n",
       "      <th>City</th>\n",
       "      <th>Month</th>\n",
       "      <th>Day</th>\n",
       "      <th>Year</th>\n",
       "      <th>AvgTemperature</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Africa</td>\n",
       "      <td>Algeria</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Algiers</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1995</td>\n",
       "      <td>64.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Africa</td>\n",
       "      <td>Algeria</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Algiers</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1995</td>\n",
       "      <td>49.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Africa</td>\n",
       "      <td>Algeria</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Algiers</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1995</td>\n",
       "      <td>48.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Africa</td>\n",
       "      <td>Algeria</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Algiers</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1995</td>\n",
       "      <td>46.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Africa</td>\n",
       "      <td>Algeria</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Algiers</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1995</td>\n",
       "      <td>47.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>2906322</th>\n",
       "      <td>North America</td>\n",
       "      <td>US</td>\n",
       "      <td>Additional Territories</td>\n",
       "      <td>San Juan Puerto Rico</td>\n",
       "      <td>7</td>\n",
       "      <td>27</td>\n",
       "      <td>2013</td>\n",
       "      <td>82.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2906323</th>\n",
       "      <td>North America</td>\n",
       "      <td>US</td>\n",
       "      <td>Additional Territories</td>\n",
       "      <td>San Juan Puerto Rico</td>\n",
       "      <td>7</td>\n",
       "      <td>28</td>\n",
       "      <td>2013</td>\n",
       "      <td>81.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2906324</th>\n",
       "      <td>North America</td>\n",
       "      <td>US</td>\n",
       "      <td>Additional Territories</td>\n",
       "      <td>San Juan Puerto Rico</td>\n",
       "      <td>7</td>\n",
       "      <td>29</td>\n",
       "      <td>2013</td>\n",
       "      <td>84.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2906325</th>\n",
       "      <td>North America</td>\n",
       "      <td>US</td>\n",
       "      <td>Additional Territories</td>\n",
       "      <td>San Juan Puerto Rico</td>\n",
       "      <td>7</td>\n",
       "      <td>30</td>\n",
       "      <td>2013</td>\n",
       "      <td>83.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2906326</th>\n",
       "      <td>North America</td>\n",
       "      <td>US</td>\n",
       "      <td>Additional Territories</td>\n",
       "      <td>San Juan Puerto Rico</td>\n",
       "      <td>7</td>\n",
       "      <td>31</td>\n",
       "      <td>2013</td>\n",
       "      <td>83.6</td>\n",
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       "  </tbody>\n",
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       "<p>2906327 rows × 8 columns</p>\n",
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       "                Region  Country                   State                  City  \\\n",
       "0               Africa  Algeria                     NaN               Algiers   \n",
       "1               Africa  Algeria                     NaN               Algiers   \n",
       "2               Africa  Algeria                     NaN               Algiers   \n",
       "3               Africa  Algeria                     NaN               Algiers   \n",
       "4               Africa  Algeria                     NaN               Algiers   \n",
       "...                ...      ...                     ...                   ...   \n",
       "2906322  North America       US  Additional Territories  San Juan Puerto Rico   \n",
       "2906323  North America       US  Additional Territories  San Juan Puerto Rico   \n",
       "2906324  North America       US  Additional Territories  San Juan Puerto Rico   \n",
       "2906325  North America       US  Additional Territories  San Juan Puerto Rico   \n",
       "2906326  North America       US  Additional Territories  San Juan Puerto Rico   \n",
       "\n",
       "         Month  Day  Year  AvgTemperature  \n",
       "0            1    1  1995            64.2  \n",
       "1            1    2  1995            49.4  \n",
       "2            1    3  1995            48.8  \n",
       "3            1    4  1995            46.4  \n",
       "4            1    5  1995            47.9  \n",
       "...        ...  ...   ...             ...  \n",
       "2906322      7   27  2013            82.4  \n",
       "2906323      7   28  2013            81.6  \n",
       "2906324      7   29  2013            84.2  \n",
       "2906325      7   30  2013            83.8  \n",
       "2906326      7   31  2013            83.6  \n",
       "\n",
       "[2906327 rows x 8 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "weather_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "documentary-sociology",
   "metadata": {
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     "exception": false,
     "start_time": "2021-06-29T08:43:21.980374",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2906327, 8)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "weather_data.shape #(row,column)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "studied-bullet",
   "metadata": {
    "execution": {
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     "start_time": "2021-06-29T08:43:22.027675",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 2906327 entries, 0 to 2906326\n",
      "Data columns (total 8 columns):\n",
      " #   Column          Dtype  \n",
      "---  ------          -----  \n",
      " 0   Region          object \n",
      " 1   Country         object \n",
      " 2   State           object \n",
      " 3   City            object \n",
      " 4   Month           int64  \n",
      " 5   Day             int64  \n",
      " 6   Year            int64  \n",
      " 7   AvgTemperature  float64\n",
      "dtypes: float64(1), int64(3), object(4)\n",
      "memory usage: 177.4+ MB\n"
     ]
    }
   ],
   "source": [
    "weather_data.info()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "widespread-theory",
   "metadata": {
    "papermill": {
     "duration": 0.020324,
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     "start_time": "2021-06-29T08:43:22.087753",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Filter Dataframe to Sweden"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "empirical-portugal",
   "metadata": {
    "execution": {
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     "status": "completed"
    },
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   },
   "outputs": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Region</th>\n",
       "      <th>Country</th>\n",
       "      <th>State</th>\n",
       "      <th>City</th>\n",
       "      <th>Month</th>\n",
       "      <th>Day</th>\n",
       "      <th>Year</th>\n",
       "      <th>AvgTemperature</th>\n",
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       "  </thead>\n",
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       "    <tr>\n",
       "      <th>931239</th>\n",
       "      <td>Europe</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Stockholm</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "      <td>31.3</td>\n",
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       "      <td>Europe</td>\n",
       "      <td>Sweden</td>\n",
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       "      <td>1</td>\n",
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       "      <td>1995</td>\n",
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       "      <th>931241</th>\n",
       "      <td>Europe</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Stockholm</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1995</td>\n",
       "      <td>17.8</td>\n",
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       "    <tr>\n",
       "      <th>931242</th>\n",
       "      <td>Europe</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Stockholm</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1995</td>\n",
       "      <td>22.8</td>\n",
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       "    <tr>\n",
       "      <th>931243</th>\n",
       "      <td>Europe</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Stockholm</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1995</td>\n",
       "      <td>24.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <th>940500</th>\n",
       "      <td>Europe</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Stockholm</td>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>2020</td>\n",
       "      <td>47.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>940501</th>\n",
       "      <td>Europe</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Stockholm</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>2020</td>\n",
       "      <td>49.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>940502</th>\n",
       "      <td>Europe</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Stockholm</td>\n",
       "      <td>5</td>\n",
       "      <td>11</td>\n",
       "      <td>2020</td>\n",
       "      <td>40.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>940503</th>\n",
       "      <td>Europe</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Stockholm</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>2020</td>\n",
       "      <td>40.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>940504</th>\n",
       "      <td>Europe</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Stockholm</td>\n",
       "      <td>5</td>\n",
       "      <td>13</td>\n",
       "      <td>2020</td>\n",
       "      <td>36.7</td>\n",
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      ],
      "text/plain": [
       "        Region Country State       City  Month  Day  Year  AvgTemperature\n",
       "931239  Europe  Sweden   NaN  Stockholm      1    1  1995            31.3\n",
       "931240  Europe  Sweden   NaN  Stockholm      1    2  1995            30.0\n",
       "931241  Europe  Sweden   NaN  Stockholm      1    3  1995            17.8\n",
       "931242  Europe  Sweden   NaN  Stockholm      1    4  1995            22.8\n",
       "931243  Europe  Sweden   NaN  Stockholm      1    5  1995            24.5\n",
       "...        ...     ...   ...        ...    ...  ...   ...             ...\n",
       "940500  Europe  Sweden   NaN  Stockholm      5    9  2020            47.8\n",
       "940501  Europe  Sweden   NaN  Stockholm      5   10  2020            49.7\n",
       "940502  Europe  Sweden   NaN  Stockholm      5   11  2020            40.1\n",
       "940503  Europe  Sweden   NaN  Stockholm      5   12  2020            40.8\n",
       "940504  Europe  Sweden   NaN  Stockholm      5   13  2020            36.7\n",
       "\n",
       "[9266 rows x 8 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sweden_weather_df  = weather_data.loc[(weather_data['Country'] ==\"Sweden\")]\n",
    "sweden_weather_df"
   ]
  },
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   "execution_count": 7,
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    {
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       "        Region  Country  State   City  Month    Day   Year  AvgTemperature\n",
       "931239   False    False   True  False  False  False  False           False\n",
       "931240   False    False   True  False  False  False  False           False\n",
       "931241   False    False   True  False  False  False  False           False\n",
       "931242   False    False   True  False  False  False  False           False\n",
       "931243   False    False   True  False  False  False  False           False\n",
       "...        ...      ...    ...    ...    ...    ...    ...             ...\n",
       "940500   False    False   True  False  False  False  False           False\n",
       "940501   False    False   True  False  False  False  False           False\n",
       "940502   False    False   True  False  False  False  False           False\n",
       "940503   False    False   True  False  False  False  False           False\n",
       "940504   False    False   True  False  False  False  False           False\n",
       "\n",
       "[9266 rows x 8 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sweden_weather_df.isnull()"
   ]
  },
  {
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    "tags": []
   },
   "source": [
    "**Convert AvgTemperature from Fahrenhei to Celsius**\n",
    "> Formula (°F − 32) × 5/9."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
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       "      <td>10</td>\n",
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       "    <tr>\n",
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       "      <td>Europe</td>\n",
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      ],
      "text/plain": [
       "        Region Country State       City  Month  Day  Year  AvgTemperature\n",
       "931239  Europe  Sweden   NaN  Stockholm      1    1  1995       -0.388889\n",
       "931240  Europe  Sweden   NaN  Stockholm      1    2  1995       -1.111111\n",
       "931241  Europe  Sweden   NaN  Stockholm      1    3  1995       -7.888889\n",
       "931242  Europe  Sweden   NaN  Stockholm      1    4  1995       -5.111111\n",
       "931243  Europe  Sweden   NaN  Stockholm      1    5  1995       -4.166667\n",
       "...        ...     ...   ...        ...    ...  ...   ...             ...\n",
       "940500  Europe  Sweden   NaN  Stockholm      5    9  2020        8.777778\n",
       "940501  Europe  Sweden   NaN  Stockholm      5   10  2020        9.833333\n",
       "940502  Europe  Sweden   NaN  Stockholm      5   11  2020        4.500000\n",
       "940503  Europe  Sweden   NaN  Stockholm      5   12  2020        4.888889\n",
       "940504  Europe  Sweden   NaN  Stockholm      5   13  2020        2.611111\n",
       "\n",
       "[9266 rows x 8 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
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   ],
   "source": [
    "sweden_weather_df['AvgTemperature'] = (sweden_weather_df['AvgTemperature']  -32) * 5/9 \n",
    "sweden_weather_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "inside-crystal",
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    },
    "tags": []
   },
   "source": [
    "# Maximum Temperature at Sweden\n",
    "> 1995-2020"
   ]
  },
  {
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   "execution_count": 9,
   "id": "statewide-socket",
   "metadata": {
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    {
     "data": {
      "text/plain": [
       "Region               Europe\n",
       "Country              Sweden\n",
       "State                  None\n",
       "City              Stockholm\n",
       "Month                    12\n",
       "Day                      31\n",
       "Year                   2020\n",
       "AvgTemperature    26.222222\n",
       "dtype: object"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "weather_max_temp = sweden_weather_df.max()\n",
    "weather_max_temp"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eligible-lying",
   "metadata": {
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     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Minimum Temperature at Sweden\n",
    "> 1995-2020"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "surgical-exhaust",
   "metadata": {
    "execution": {
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Region               Europe\n",
       "Country              Sweden\n",
       "State                  None\n",
       "City              Stockholm\n",
       "Month                     1\n",
       "Day                       1\n",
       "Year                   1995\n",
       "AvgTemperature   -72.777778\n",
       "dtype: object"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "weather_min_temp = sweden_weather_df.min()\n",
    "weather_min_temp"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "nominated-horizon",
   "metadata": {
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     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Temperature Measurements Year 1995"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "understood-picnic",
   "metadata": {
    "execution": {
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     "exception": false,
     "start_time": "2021-06-29T08:43:22.997192",
     "status": "completed"
    },
    "tags": []
   },
   "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>Region</th>\n",
       "      <th>Country</th>\n",
       "      <th>State</th>\n",
       "      <th>City</th>\n",
       "      <th>Month</th>\n",
       "      <th>Day</th>\n",
       "      <th>Year</th>\n",
       "      <th>AvgTemperature</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>931239</th>\n",
       "      <td>Europe</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Stockholm</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1995</td>\n",
       "      <td>-0.388889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>931240</th>\n",
       "      <td>Europe</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Stockholm</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1995</td>\n",
       "      <td>-1.111111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>931241</th>\n",
       "      <td>Europe</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Stockholm</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1995</td>\n",
       "      <td>-7.888889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>931242</th>\n",
       "      <td>Europe</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Stockholm</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1995</td>\n",
       "      <td>-5.111111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>931243</th>\n",
       "      <td>Europe</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Stockholm</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1995</td>\n",
       "      <td>-4.166667</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>931599</th>\n",
       "      <td>Europe</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Stockholm</td>\n",
       "      <td>12</td>\n",
       "      <td>27</td>\n",
       "      <td>1995</td>\n",
       "      <td>-13.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>931600</th>\n",
       "      <td>Europe</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Stockholm</td>\n",
       "      <td>12</td>\n",
       "      <td>28</td>\n",
       "      <td>1995</td>\n",
       "      <td>-11.111111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>931601</th>\n",
       "      <td>Europe</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Stockholm</td>\n",
       "      <td>12</td>\n",
       "      <td>29</td>\n",
       "      <td>1995</td>\n",
       "      <td>-7.722222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>931602</th>\n",
       "      <td>Europe</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Stockholm</td>\n",
       "      <td>12</td>\n",
       "      <td>30</td>\n",
       "      <td>1995</td>\n",
       "      <td>-5.055556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>931603</th>\n",
       "      <td>Europe</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Stockholm</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>1995</td>\n",
       "      <td>-10.611111</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>365 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        Region Country State       City  Month  Day  Year  AvgTemperature\n",
       "931239  Europe  Sweden   NaN  Stockholm      1    1  1995       -0.388889\n",
       "931240  Europe  Sweden   NaN  Stockholm      1    2  1995       -1.111111\n",
       "931241  Europe  Sweden   NaN  Stockholm      1    3  1995       -7.888889\n",
       "931242  Europe  Sweden   NaN  Stockholm      1    4  1995       -5.111111\n",
       "931243  Europe  Sweden   NaN  Stockholm      1    5  1995       -4.166667\n",
       "...        ...     ...   ...        ...    ...  ...   ...             ...\n",
       "931599  Europe  Sweden   NaN  Stockholm     12   27  1995      -13.666667\n",
       "931600  Europe  Sweden   NaN  Stockholm     12   28  1995      -11.111111\n",
       "931601  Europe  Sweden   NaN  Stockholm     12   29  1995       -7.722222\n",
       "931602  Europe  Sweden   NaN  Stockholm     12   30  1995       -5.055556\n",
       "931603  Europe  Sweden   NaN  Stockholm     12   31  1995      -10.611111\n",
       "\n",
       "[365 rows x 8 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sweden_weather_1995  = sweden_weather_df.loc[(sweden_weather_df['Year'] ==1995)]\n",
    "sweden_weather_1995"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "stuck-edinburgh",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T08:43:23.088975Z",
     "iopub.status.busy": "2021-06-29T08:43:23.088387Z",
     "iopub.status.idle": "2021-06-29T08:43:23.636338Z",
     "shell.execute_reply": "2021-06-29T08:43:23.635799Z",
     "shell.execute_reply.started": "2021-06-16T12:51:15.725507Z"
    },
    "papermill": {
     "duration": 0.573245,
     "end_time": "2021-06-29T08:43:23.636486",
     "exception": false,
     "start_time": "2021-06-29T08:43:23.063241",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Monyjly Temperature bar Year 1995')"
      ]
     },
     "execution_count": 12,
     "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": [
    "sns.lineplot(x = sweden_weather_1995[\"Month\"], \n",
    "             y = sweden_weather_1995[\"AvgTemperature\"] )\n",
    "plt.ylabel(\"Avg Temperature ºC\")\n",
    "plt.title(\"Monyjly Temperature bar Year 1995\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "champion-bathroom",
   "metadata": {
    "papermill": {
     "duration": 0.02443,
     "end_time": "2021-06-29T08:43:23.686385",
     "exception": false,
     "start_time": "2021-06-29T08:43:23.661955",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Weather Heatmap - Sweden \n",
    "> 1995-2020"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "eastern-suicide",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T08:43:23.743426Z",
     "iopub.status.busy": "2021-06-29T08:43:23.742250Z",
     "iopub.status.idle": "2021-06-29T08:43:23.790555Z",
     "shell.execute_reply": "2021-06-29T08:43:23.791016Z",
     "shell.execute_reply.started": "2021-06-16T12:51:16.259981Z"
    },
    "papermill": {
     "duration": 0.080368,
     "end_time": "2021-06-29T08:43:23.791200",
     "exception": false,
     "start_time": "2021-06-29T08:43:23.710832",
     "status": "completed"
    },
    "tags": []
   },
   "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>Year</th>\n",
       "      <th>1995</th>\n",
       "      <th>1996</th>\n",
       "      <th>1997</th>\n",
       "      <th>1998</th>\n",
       "      <th>1999</th>\n",
       "      <th>2000</th>\n",
       "      <th>2001</th>\n",
       "      <th>2002</th>\n",
       "      <th>2003</th>\n",
       "      <th>2004</th>\n",
       "      <th>...</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "      <th>2018</th>\n",
       "      <th>2019</th>\n",
       "      <th>2020</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Month</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-2.421147</td>\n",
       "      <td>-3.924731</td>\n",
       "      <td>-2.403226</td>\n",
       "      <td>-1.822581</td>\n",
       "      <td>-4.021505</td>\n",
       "      <td>-0.901434</td>\n",
       "      <td>-0.453405</td>\n",
       "      <td>-0.745520</td>\n",
       "      <td>-6.102151</td>\n",
       "      <td>-3.315412</td>\n",
       "      <td>...</td>\n",
       "      <td>-2.143369</td>\n",
       "      <td>-1.462366</td>\n",
       "      <td>-4.206093</td>\n",
       "      <td>-1.664875</td>\n",
       "      <td>0.711470</td>\n",
       "      <td>-4.688172</td>\n",
       "      <td>-0.849462</td>\n",
       "      <td>-2.722222</td>\n",
       "      <td>-4.550179</td>\n",
       "      <td>3.783154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.559524</td>\n",
       "      <td>-7.042146</td>\n",
       "      <td>0.059524</td>\n",
       "      <td>1.505952</td>\n",
       "      <td>-1.934524</td>\n",
       "      <td>0.157088</td>\n",
       "      <td>-3.696429</td>\n",
       "      <td>1.686508</td>\n",
       "      <td>-3.779762</td>\n",
       "      <td>-1.591954</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.873016</td>\n",
       "      <td>-3.614943</td>\n",
       "      <td>-1.734127</td>\n",
       "      <td>-0.486111</td>\n",
       "      <td>0.966270</td>\n",
       "      <td>-0.053640</td>\n",
       "      <td>-0.371032</td>\n",
       "      <td>-3.831349</td>\n",
       "      <td>1.678571</td>\n",
       "      <td>2.503831</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.899642</td>\n",
       "      <td>-0.878136</td>\n",
       "      <td>1.933692</td>\n",
       "      <td>-0.306452</td>\n",
       "      <td>1.489247</td>\n",
       "      <td>2.109319</td>\n",
       "      <td>-0.586022</td>\n",
       "      <td>2.614695</td>\n",
       "      <td>3.227599</td>\n",
       "      <td>1.403226</td>\n",
       "      <td>...</td>\n",
       "      <td>0.874552</td>\n",
       "      <td>3.788530</td>\n",
       "      <td>-3.195341</td>\n",
       "      <td>3.949821</td>\n",
       "      <td>3.308244</td>\n",
       "      <td>0.279570</td>\n",
       "      <td>2.767025</td>\n",
       "      <td>-2.137993</td>\n",
       "      <td>2.363799</td>\n",
       "      <td>3.125448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4.212963</td>\n",
       "      <td>6.366667</td>\n",
       "      <td>4.279630</td>\n",
       "      <td>3.757407</td>\n",
       "      <td>7.692593</td>\n",
       "      <td>7.151852</td>\n",
       "      <td>6.140741</td>\n",
       "      <td>7.527778</td>\n",
       "      <td>4.948148</td>\n",
       "      <td>6.542593</td>\n",
       "      <td>...</td>\n",
       "      <td>8.561111</td>\n",
       "      <td>4.609259</td>\n",
       "      <td>4.470370</td>\n",
       "      <td>6.668519</td>\n",
       "      <td>6.731481</td>\n",
       "      <td>5.581481</td>\n",
       "      <td>4.357407</td>\n",
       "      <td>6.392593</td>\n",
       "      <td>3.929630</td>\n",
       "      <td>6.590741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>9.435484</td>\n",
       "      <td>9.143369</td>\n",
       "      <td>9.094982</td>\n",
       "      <td>10.299283</td>\n",
       "      <td>10.856631</td>\n",
       "      <td>12.836918</td>\n",
       "      <td>11.553763</td>\n",
       "      <td>13.188172</td>\n",
       "      <td>12.172043</td>\n",
       "      <td>10.854839</td>\n",
       "      <td>...</td>\n",
       "      <td>11.360215</td>\n",
       "      <td>11.637993</td>\n",
       "      <td>12.982079</td>\n",
       "      <td>10.646953</td>\n",
       "      <td>9.491039</td>\n",
       "      <td>9.731183</td>\n",
       "      <td>10.887097</td>\n",
       "      <td>15.206093</td>\n",
       "      <td>-0.630824</td>\n",
       "      <td>7.606838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>16.414815</td>\n",
       "      <td>15.587037</td>\n",
       "      <td>16.092593</td>\n",
       "      <td>13.159259</td>\n",
       "      <td>17.861111</td>\n",
       "      <td>15.018519</td>\n",
       "      <td>15.894444</td>\n",
       "      <td>5.668519</td>\n",
       "      <td>16.551852</td>\n",
       "      <td>14.431481</td>\n",
       "      <td>...</td>\n",
       "      <td>16.940741</td>\n",
       "      <td>13.279630</td>\n",
       "      <td>16.229630</td>\n",
       "      <td>13.916667</td>\n",
       "      <td>13.972222</td>\n",
       "      <td>15.966667</td>\n",
       "      <td>14.909259</td>\n",
       "      <td>16.653704</td>\n",
       "      <td>18.005556</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>18.125448</td>\n",
       "      <td>16.435484</td>\n",
       "      <td>19.145161</td>\n",
       "      <td>16.127240</td>\n",
       "      <td>20.736559</td>\n",
       "      <td>16.718638</td>\n",
       "      <td>20.440860</td>\n",
       "      <td>19.736559</td>\n",
       "      <td>21.218638</td>\n",
       "      <td>16.824373</td>\n",
       "      <td>...</td>\n",
       "      <td>19.173835</td>\n",
       "      <td>17.415771</td>\n",
       "      <td>18.071685</td>\n",
       "      <td>20.120072</td>\n",
       "      <td>16.448029</td>\n",
       "      <td>18.145161</td>\n",
       "      <td>16.767025</td>\n",
       "      <td>21.890681</td>\n",
       "      <td>17.087814</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>18.543011</td>\n",
       "      <td>19.946237</td>\n",
       "      <td>20.777778</td>\n",
       "      <td>14.921147</td>\n",
       "      <td>17.471326</td>\n",
       "      <td>16.485663</td>\n",
       "      <td>17.713262</td>\n",
       "      <td>21.646953</td>\n",
       "      <td>18.102151</td>\n",
       "      <td>18.213262</td>\n",
       "      <td>...</td>\n",
       "      <td>16.763441</td>\n",
       "      <td>16.317204</td>\n",
       "      <td>17.132616</td>\n",
       "      <td>17.075269</td>\n",
       "      <td>17.139785</td>\n",
       "      <td>16.456989</td>\n",
       "      <td>16.202509</td>\n",
       "      <td>18.593190</td>\n",
       "      <td>17.462366</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>12.412963</td>\n",
       "      <td>10.700000</td>\n",
       "      <td>12.787037</td>\n",
       "      <td>12.938889</td>\n",
       "      <td>16.092593</td>\n",
       "      <td>11.664815</td>\n",
       "      <td>12.787037</td>\n",
       "      <td>13.759259</td>\n",
       "      <td>11.053704</td>\n",
       "      <td>13.151852</td>\n",
       "      <td>...</td>\n",
       "      <td>13.659259</td>\n",
       "      <td>12.079630</td>\n",
       "      <td>12.194444</td>\n",
       "      <td>12.618519</td>\n",
       "      <td>12.833333</td>\n",
       "      <td>11.851852</td>\n",
       "      <td>12.696296</td>\n",
       "      <td>13.768519</td>\n",
       "      <td>12.542593</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>9.564516</td>\n",
       "      <td>8.379928</td>\n",
       "      <td>4.670251</td>\n",
       "      <td>6.550179</td>\n",
       "      <td>8.057348</td>\n",
       "      <td>10.650538</td>\n",
       "      <td>10.005376</td>\n",
       "      <td>1.347670</td>\n",
       "      <td>4.935484</td>\n",
       "      <td>7.455197</td>\n",
       "      <td>...</td>\n",
       "      <td>8.129032</td>\n",
       "      <td>6.333333</td>\n",
       "      <td>8.209677</td>\n",
       "      <td>9.028674</td>\n",
       "      <td>6.955197</td>\n",
       "      <td>7.089606</td>\n",
       "      <td>7.517921</td>\n",
       "      <td>8.247312</td>\n",
       "      <td>6.910394</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>0.022222</td>\n",
       "      <td>3.385185</td>\n",
       "      <td>2.048148</td>\n",
       "      <td>-0.333333</td>\n",
       "      <td>4.455556</td>\n",
       "      <td>6.961111</td>\n",
       "      <td>2.974074</td>\n",
       "      <td>0.837037</td>\n",
       "      <td>4.283333</td>\n",
       "      <td>1.351852</td>\n",
       "      <td>...</td>\n",
       "      <td>5.740741</td>\n",
       "      <td>4.337037</td>\n",
       "      <td>3.927778</td>\n",
       "      <td>5.146296</td>\n",
       "      <td>4.401852</td>\n",
       "      <td>-0.550000</td>\n",
       "      <td>3.266667</td>\n",
       "      <td>-3.777778</td>\n",
       "      <td>3.677778</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>-5.548387</td>\n",
       "      <td>-3.053763</td>\n",
       "      <td>-0.292115</td>\n",
       "      <td>-9.646953</td>\n",
       "      <td>-1.388889</td>\n",
       "      <td>2.688172</td>\n",
       "      <td>-2.078853</td>\n",
       "      <td>-3.808244</td>\n",
       "      <td>1.114695</td>\n",
       "      <td>1.299283</td>\n",
       "      <td>...</td>\n",
       "      <td>2.363799</td>\n",
       "      <td>-3.338710</td>\n",
       "      <td>3.157706</td>\n",
       "      <td>0.075269</td>\n",
       "      <td>-1.236111</td>\n",
       "      <td>1.878136</td>\n",
       "      <td>1.062724</td>\n",
       "      <td>0.503584</td>\n",
       "      <td>2.587814</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>12 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Year        1995       1996       1997       1998       1999       2000  \\\n",
       "Month                                                                     \n",
       "1      -2.421147  -3.924731  -2.403226  -1.822581  -4.021505  -0.901434   \n",
       "2       0.559524  -7.042146   0.059524   1.505952  -1.934524   0.157088   \n",
       "3       1.899642  -0.878136   1.933692  -0.306452   1.489247   2.109319   \n",
       "4       4.212963   6.366667   4.279630   3.757407   7.692593   7.151852   \n",
       "5       9.435484   9.143369   9.094982  10.299283  10.856631  12.836918   \n",
       "6      16.414815  15.587037  16.092593  13.159259  17.861111  15.018519   \n",
       "7      18.125448  16.435484  19.145161  16.127240  20.736559  16.718638   \n",
       "8      18.543011  19.946237  20.777778  14.921147  17.471326  16.485663   \n",
       "9      12.412963  10.700000  12.787037  12.938889  16.092593  11.664815   \n",
       "10      9.564516   8.379928   4.670251   6.550179   8.057348  10.650538   \n",
       "11      0.022222   3.385185   2.048148  -0.333333   4.455556   6.961111   \n",
       "12     -5.548387  -3.053763  -0.292115  -9.646953  -1.388889   2.688172   \n",
       "\n",
       "Year        2001       2002       2003       2004  ...       2011       2012  \\\n",
       "Month                                              ...                         \n",
       "1      -0.453405  -0.745520  -6.102151  -3.315412  ...  -2.143369  -1.462366   \n",
       "2      -3.696429   1.686508  -3.779762  -1.591954  ...  -4.873016  -3.614943   \n",
       "3      -0.586022   2.614695   3.227599   1.403226  ...   0.874552   3.788530   \n",
       "4       6.140741   7.527778   4.948148   6.542593  ...   8.561111   4.609259   \n",
       "5      11.553763  13.188172  12.172043  10.854839  ...  11.360215  11.637993   \n",
       "6      15.894444   5.668519  16.551852  14.431481  ...  16.940741  13.279630   \n",
       "7      20.440860  19.736559  21.218638  16.824373  ...  19.173835  17.415771   \n",
       "8      17.713262  21.646953  18.102151  18.213262  ...  16.763441  16.317204   \n",
       "9      12.787037  13.759259  11.053704  13.151852  ...  13.659259  12.079630   \n",
       "10     10.005376   1.347670   4.935484   7.455197  ...   8.129032   6.333333   \n",
       "11      2.974074   0.837037   4.283333   1.351852  ...   5.740741   4.337037   \n",
       "12     -2.078853  -3.808244   1.114695   1.299283  ...   2.363799  -3.338710   \n",
       "\n",
       "Year        2013       2014       2015       2016       2017       2018  \\\n",
       "Month                                                                     \n",
       "1      -4.206093  -1.664875   0.711470  -4.688172  -0.849462  -2.722222   \n",
       "2      -1.734127  -0.486111   0.966270  -0.053640  -0.371032  -3.831349   \n",
       "3      -3.195341   3.949821   3.308244   0.279570   2.767025  -2.137993   \n",
       "4       4.470370   6.668519   6.731481   5.581481   4.357407   6.392593   \n",
       "5      12.982079  10.646953   9.491039   9.731183  10.887097  15.206093   \n",
       "6      16.229630  13.916667  13.972222  15.966667  14.909259  16.653704   \n",
       "7      18.071685  20.120072  16.448029  18.145161  16.767025  21.890681   \n",
       "8      17.132616  17.075269  17.139785  16.456989  16.202509  18.593190   \n",
       "9      12.194444  12.618519  12.833333  11.851852  12.696296  13.768519   \n",
       "10      8.209677   9.028674   6.955197   7.089606   7.517921   8.247312   \n",
       "11      3.927778   5.146296   4.401852  -0.550000   3.266667  -3.777778   \n",
       "12      3.157706   0.075269  -1.236111   1.878136   1.062724   0.503584   \n",
       "\n",
       "Year        2019      2020  \n",
       "Month                       \n",
       "1      -4.550179  3.783154  \n",
       "2       1.678571  2.503831  \n",
       "3       2.363799  3.125448  \n",
       "4       3.929630  6.590741  \n",
       "5      -0.630824  7.606838  \n",
       "6      18.005556       NaN  \n",
       "7      17.087814       NaN  \n",
       "8      17.462366       NaN  \n",
       "9      12.542593       NaN  \n",
       "10      6.910394       NaN  \n",
       "11      3.677778       NaN  \n",
       "12      2.587814       NaN  \n",
       "\n",
       "[12 rows x 26 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Sweden Monthly Heatmap Climate Change\n",
    "sweden_df = sweden_weather_df[sweden_weather_df['Country'] == 'Sweden'].reset_index().drop(columns = ['index'])\n",
    "\n",
    "sweden_by_month = pd.pivot_table(data=sweden_df, index='Month', columns='Year', values='AvgTemperature', aggfunc='mean')\n",
    "sweden_by_month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "natural-chosen",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T08:43:23.865412Z",
     "iopub.status.busy": "2021-06-29T08:43:23.849226Z",
     "iopub.status.idle": "2021-06-29T08:43:25.785175Z",
     "shell.execute_reply": "2021-06-29T08:43:25.784503Z",
     "shell.execute_reply.started": "2021-06-16T12:51:16.315032Z"
    },
    "papermill": {
     "duration": 1.9687,
     "end_time": "2021-06-29T08:43:25.785308",
     "exception": false,
     "start_time": "2021-06-29T08:43:23.816608",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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NS0fQasyftzcvHuHglnmM/nAhTq5eLPvtDfaum0HwkEnFD/oEK6XEzjN6HsTJ2FvD0I4qWteBo1fyN+zcHGFQGyXL9ut5ECvTpo6CYR1V/L5JV+jFOVO2LfsCpcqKd6cdITLsOst/G4d3pdp4VQwwmf7ojgXYObiRmZFa/GC5GPQ6XNy9eeuzBbh6+HLl/GEWTHuPj35ai7tXRZPvOX14K3q9rkRxn6RQqqjesCf1Wg9n+6KiXbTKSEvk3N4/cfM2fYyKataKKGatiMp5PfEFnwI/w2F9PahdzYb3f7xPzCMdlSuo0Wgtr3N02nRa9J6Mp18DMlLj2bP0NdS2C2nYYYzJ9G6+tajWoCend/xsccxslhz3IZM24OxRpcSxc2sSoERRWD1nLXH8qpYboXoMMgxqp2ZoZzVzt1hWzwEoFCqqN+hJ3VbD2bm44Pz7Vm3K6K/O5bx+ePskOxa+SqVaBV8kMmfLki9Rqqz4YPphIkOvs2TaeHwq18L7ie/8C5Pm5Hk9/9sXqFanhUUxTWlaS1VoG+PMDR1nbjy++NqijhXBza0t7vRm17PPTDDWs5vnTeD49um0M9HGSEmIYseS9+k35g/8A9tz9+pBti54k9Gf7cPO0d2i+FZK2HlOT3gc2FvDkPZKWtWWOHYt//c4LAa+X/O4DqziJTGkvYLbESVvZwbVUhV63gMM7WKDQoJvlqSRliFT0dPy5Yv6Dn6RV974GCsrNQ8f3OObKeOpUq0WVWsE5kl36ugeDu3ZzCffzcXD04fVy2Yze9pnfDVticWxnyZP81Tnp3pxq3O3ZcJiwWCAlHTjqKefR8EfRscGEqdvyqRZXhfkSEyVSct4/NpgMHZwTanpp+BuhIF7kQYMMhw4r8PZXqJaBcs+gvLOu4tnNWo3H4yrd41C02akJaLNTKFmk/5IkoRXpfq4elUjPvpWifbBRg3dm1qx5YSZIfYs9asqiYo3cPGOHp0edp3WUsFdgaeLZV/ca6c2ULflYNx9A7Cxc6ZF99e4emq9ybR3rxwgoFEP3H0DUKrUtAh+jfDbp0mIDbUoNsCVExuo33owHhWM8Vv1fI3LJ0zHL21XTm6gXsvBeGTlvWWP17hysmixr5xaT51mA5AkywvMdo1tSUgysONYKhqtjFYHYVHmOxl7T6Vx9Y4GbSn0QxLTyPPdMcjg5mQ6Lzo9xGZ1eiWM31M7awlba8ti123WnTpBXbFzcCkw3bkjG2ja4Rm8/QKwtXemU/9XOXdkg2VBn3DmpoHQGBmDAZLTjSO+lTxN57+6r4L7MTJhMcZZKEeuGHC0BX/v4n/2msw0rp7dTacBE1Hb2FM5IIhaDTtz8bjpEZ34mAdcOrGJtr3Hmvx/cVjb2NH7uddw96qIQqGgflAH3L0qEnrnqsn06WnJbFszmwEj3i5x7NxcvapRp8Vg3HwKL2+zndj2Cw3ajsTG3qXU9sNaLdG6sSP7Tpgeure3U9C3kyt/LI0i5pHxSxf6UINWZ3kjOLDFMHz8m6JUqbF39qZ6w75E3z9nNn2dliOoUL0VSisLv2y5WHLcS5uNGro3U7PluKbAdNdD9Vy8bZyBotXBkUs6/H2UBb6nMC5eRa/nn3Tj7AaqNgjGSm1XeOInaDLTuHpmN10GTcTaxp4qNYOo3agT/xwteBQ3Piac+yFnadR6QLFjmmKjhp4trdl4pHiNpuaBVpy+VvDnVZCrWW2M7Hq2RfBrXDVTzyYnRGJt60jVOh2QJIlqdTtipbYtURvj7C2ZsBiKVNY/qUFViWthMtr814OLxUYNPVpYs6mQY+/lqqBeVRUr92WQmm6sbx5YeMEBwK9ydayyRtYlJJAkoiMf5EsXE/WQmnUa4uVTEYVSSZuOPXgYdtfiuE8bSSmV2s+/7ake8X1SJU+JmCTzFayvG/i6Sew4ayCwUukcbH8fBaN6qrG1ltBoZRbvNF/Y5WnvZ/3u7SZxK7zk+1EeeS8qO0cPqjfqzY0z6whsOZSYsIskxz/Exz+oRNvt2cKKY1d0hU7l8nFT8DDucUGo0UFckoyPm4KYhOKXznGRN6lWv0vOa8+KtUhLjiU9NR5be9f8b8g9PJL1a1xECC4elYsdGyA24iY1GuSK71eLtKRY0lPisXUwER/48+NOIEn4125Dh0HvYefgZlHsuIib1ChO3rMkPQon/NYZgod/Y1HcbDX81MQm6Jg00pVqFdU8iNayZGsSDwro/JamKl4SI7uqsFEbv+/L9xccd0I/FR7OEiqlxJkQPakZBSYvsejwWwQ26Zzz2qdybVISY0lLjsfO0fznY4kqXhIxCea/e3mKO2P7AS9nibuRxesExUXeQ6FU4u5TNedv3pVqcT/ktMn025d/SedBb2NVCh2fJyUlxBEdcR/fSqY7ApuWT6ddt+dwcvEo9djFERV6kZgHl+kwaCq3/tleattt3diRxBQdV26ankZYpYI1eoNM6yaO9OvsSlqGgS3749l2MKHU9iHy3hlcLOiI/VvWz3zeOBOlSmPa9PsAJze/Em2vVws1xy5riz1luVoFBVGPLO8AlIRWk8bdizvpMWqWRe+PzfrOe+T6zvtUrs2966a/89kuHNtAlZpBuHqano1RXH3b2HDkopaktKIfR1dHiRoVlSzfbfltNXERN6lexHrWu3I93Lyrc/vSXqrW7cidy/tRqtR4VqhlcfwnVfGSiCnCbSpWSgisJLHqUMnPuz6trTl6SUNyasHnfRVvBY+SDfRqaU3T2iqSUmV2nNTwzy3L2wSLZn/P4b1b0GgyqVKtFg2D2uRL07Jdd04e3UtE+H08vStyeN9W6jdpaXFM4d/zr3d8JUkaJcvywtLeboOqEr5usO206S+JJEGPIAU7z5VuRXAv0sDUhRk42UOLQBXxyabj3ww30KulFdUqKLgfaaBjIxVKJahLYbpAeeW9OGo07M2htZ9wbLOx49N2wFQcXHwt3p6fpwJ/HyUbj2Tg7FDwMVRbSaSm5z026Zky1laWxdZmpmFt6/B4+7bGabSajNR8lZJ/YDu2LX6b+m2G4urpz4mdf4AkodVY3gPSPBHfOjt+Zmq+jq+tvSsjP1iDl18g6akJ7Fn1BVsXvsezb8y3KLZWk4a6iHnP7eqpDVSs3hRnj0oWxc3m6qwksKqaX5fFc+VOPMEt7XlruCsfTI9BX8IrzEVxP1rmq+VaHO2gWU1lofeJ/75Jh0oJdSorCp0uVxo0mWnY2D2e1m2T9VllZqSVase3UXWJCm4Sm06YPuh3Ig10baKiirdEWIxM27rG/FtZUONoMtOwtnHI8zdrW0eT05ivnduNbDAQ2KQb966fLH6wAuh1WhbP+JAWHfrhU7Fqvv/fv32FOzcuMHjUByTERZnYwr/DYNBzaN3ntBv4CVJR5gkWQ6eWTuw/kWT2/x6uKhzslFTwsmLsJ3fw9VLz5Zt+hEdp+Od6Wonjh5xZS2z4ZdoO/LLE2yoLA15dgneVhui0GZzc/ivb5r/Kc++st/g2Ez9PBf6+CjYc0RRaz+Xm6y7RvamaBdvL+EqbGXcv7cbG3hXfas0ter8mI/933sbWodBbFy4c3USHvuMtivmkSl4KqlVQsvZABi6ORT/2zQOtuP1QT1wBAxGF0T5R5hVUzyoUSuo078/2xe+i02WiVFrR++Xf8qzrURINq0n4uklsPll4BVu7kkRaprGeLIlKXgqqVlCy7mAmLoWc9y6OCip4KPnnlo5P56Xi76tkXD9bIuPSiIq3rM370vgPeGHMu9y8cYlrl8+avLfaxdWDmoENef+1Z1EolLh5eDH5q5kWxXsaKcphpLa0lMeI7+eAyY6vJEljgbEA/V+ZRfOuee/hqVtFomeQ8WCHxZJzValmRejUQGL5AQPpZgZcg2pIRCfIPIyzfMcbBygZ1N7YW7obYWDBtsfBklLhRqieEV3V/LY2/9SMmASZVfs1DGhrhaOdxPmbeqLjZRKLuMBSeef95vnNHF5nXKjI1z+InqPnFvm9CdF32Lt8Et1GTscvoA2JcffYsfBV7J28qBzYsUjbaBygZHAHY+FzN8KAnTVsPKIp0v2SGq2MzRPllo1aMrsI2ZOun9nE3lXGvFeoHoSVtR2ajJTH28/6XW1jn++9lWu1plXPiWxdMBFNRgqNOr6I2toeRxefogUHrp7axK4Vxvh+1YNQW9uRmTt+elZ86/zx1Tb2+FSpD4C9kwddnvuEWZPboslIQf1Ew8KU3AtUVawehJW66HnPm4eNNO8+rtB4T2rVwIZR/ZwBuHFfg1YrE3Jfw8Wbxu/YtqOp9OvoQAVPFWGRpTvq27Cagn6tjFMF70fJ/LXn8faT0yAk3MCQDipmbi44rk4PF+8amDjAiohHMpEWLmhXFGprOzLTH38+2b9b2xS/EVTfX6JPi6z8R8ss329s+NTyk+jSSMmSvTrSzcxCi0uCDcf09GqmxMEWLt01EJMISRYstPPk+Q6QmZGC9RPnnCYzjT2rf2L4W38WO0ZhDAYDi3+fglJlxXMvTzb5/7/nfc3gUR+UymJWIec2c2BNVplTNYg+Y4pe3l4+thx331r4VGlkUewOzRx5dbixfLp6O40vfjdOSfJwVVGvph1/LDPfqddojJ/vqm1xaLQy98MzOXwmmab17Ivc8b19YTNHN34GgHeVIIJfMt7Def/qHs7smkaPlxdgU8BFtpIoyXEHqFC9GQBKlZq2A6Ywb0pT4qNv4+5btNG3JgFKBnc0zlS481CPvY3EhiLWc9ncnSTG9LZhwxENdyOK1/C/eW4zh7Lr+apB9CpGPZ9byNkNBAT1t/i2FrWNie98emq+73xu90POkpIYS91m3S2KmXuBqttZx37tgYxir8nQPNCKXaeLN8352unHbYyKWW2MzCLWs/dvHOPwxp8YPPEvvP3qEhV2mY1zX2Pg+Ll4+QXmS29KvSoSvZsZL5KFxsisOGg8b2pVlOjcUMGyfXqz7cvcGlSVuHS3+GV8UC0VQzrbAI+P/bqDRVv/RquT0elldp3S5CzqdvOBntpVlBZ3fAEUSiW16jTi2IHt7N2+luC+eRdjXb9qHnduXuW3+ZtxdnXn6IEdfPvxa3z3+yqsrW0sjvu0kBSi45uHJEkXzf0LMLucrSzLc4A5AN+s0uc75a/cl7lyP++fq/lAr6YKVh02FDgVo4qXRGUvqO5r/LBs1eDtIuHtArvOFe2Lev6mnvM3zV/1Uigks/f8AVy6Y+DSHWNL0UYNzWrbEBZTtC9meec9oHFfAhqbX0W1II8iQ3D29M9Z5MLFsxqVa3cg9MahInd8jcfeOHXIRg1fvGzL892NDYTs79/HL9iyZFdmvso+8pGBprUen+pqlbFxEFnEaWC1m/ajdtPHizRtXzyJmPAb1GzcC4DY8OvYOXqYHfFs2G4EDduNACA++i6nds3C3bfoC87Uad6POs0fx9+yYBIxD25QO8gYPzr8OnZOHmanOeeW3RCRi7jC0JMLVG1dZMx7rSbG2DEPCs47QPids6QkRlOzUfFX9jx+MYPjFx+PWjzTxYGAyiVfobgo/rlj4J875s8RpQRuxRgJUCrA1REi40tj70zzqliDiNAb1G/RE4CIsBs4OHtYNNp76Z7MpXt5O/XVfSX6tlSyfL+e6ISC338tVOZaqPH91lbQuLqC8LjiN4rcffwx6PXERd3D3dsfgKiwG3hWyPsdehR1n4S4cBZ+9zxgHKHNTE/mp7fb8sqUlbh4WDblVJZlls2eSnJiHK9O/gOlKv9UkYz0FELvXGHBtPeM7zEYz5uPx3dj9Ds/USOweLd11GzSl5pNLCtvw2+e4OGd0yy8fgiAzLREYh9eIzb8Gu0HfVro+w+eTubg6fyrpHdq4cT12+lExZq/Yngv3Fi/WbKAWbbqjfpSvVHevD8IOczR9Z/S7YXZuPnUtHzjhSjJcTdJkop1LM7d1HPupvECgY0avhxtx8ices5Y1nzyoi1/7cxfzwG4OkiM72fD7rNazoYU/0JgQJO+BJQw/ykJETy8c4p2z3xu8TY8sr/zkfdw9/EHICLsOl4VzU9xP39kA4FBXQvsHBck9wJVttbw3XhHRvUydoSz++9fvuLAgq3p3H5ouh1Y1VeJs4OCCzeLeFU9y5P17LbFk4h9mKueLaCNEfPgGhVrNMWnsvECt0+VBvhWaUDojWNF7vhevi9z+X7ePFX3lejdXMHKg3qiizDN2ckO/L0ktp0u/tSrszd0nL1h7NzbquGb8Q681NPYecxu330+2p6F2zK488Sxfxib/3tQmpeW9Xq9yXt8Q++G0LJdN9w8jF2a9l36sGz+L4SH3qFaQJ1S3IP/TdK/MYWtjJTViK83EAw82cSTgGOlFaSKF/RrqWDtUQMRjwpOu+WUAVWudR6eaaPgepjMPxZcncrWOEDJ3QgDCSkyLg4SPZqruBVuvqFc0UPiYZyMnTUMaGfF1Xv6Au+RK0h5512WZfQ6DQa9sYDXaTORJAmliUf6eFSsQ2LsfcJvnaBC9RYkPwoj9PoBGnYYbVHsDA18ufjx/TMuDgreHGzDr2sy8k1pBrh8V0+fVmrqV1Ny7b6ebk2tiHhksPjYBzbvz65lk6ndtC/2Tl6c3DWLOs1NPzJDp80kIeY+7r4BJMdHsGfVpzRu/wI2ds4WxQao26I/25ZMJrB5XxycvTixfRb1WpqO//DuP9jYOeLq6U9GWiJ7//6KSgHNc6ZHF1ed5v3ZuXQygU37Yu/sxcmds6jbouDHhVw9uYGAht2LNMJcmKP/pNOjtQN1q6m5eldD95b2JKcZeBhjupGnVD6uOFVZU211essa5g2rKbgXZSAxFVzsoWsTpdmVK/08JZQSPIiVkSRoFajAwRYexFh2zun1Ogx6PQaDAdmgR6vJRKFU5htdbNy2P2vnfkSj1n1wdPHiwMbZNGk7wKKYT/L3lhjUVsmqg3oeFqED6+tm7OTbqqFXcyU3HsjEmZ8la5ba2o7AJt04sGE6fV/6isjQ69y4sJeXJ6/Ik86rYgBv/7g/53XYrfNsW/Yl46auw87RsnvaAVbO/Yqo8Du88clc1GrTV/Jt7Rz5+s+9Oa/jYyP58aPhfPD9ShycLI+dLbu81esKL287D/0WvfbxUPz2xW9QvUEwgc0Hl2gfOrV0Zu3OgqcNRcZquXIzjWd7ujP372h8PKxo29SRn+dHWBz34e0THPz7PbqMmIFnpQaFptfrNMYLe7KMQa9FpzVO/7Rk2ndxjvujyJsY9DrcfGui12ZwcsdvODh74epdrdhxwVjPfbEoVz3nKPHWYFumrTZdzznZS4zvb8PRy1qOXymd2S/FqeezhZzbiHeVxji7W7aGBWR954O6snf9DAa8/CURode5fn4fYz5ebjK9VpPB5dM7GP7GDItj5paeCR/PfTzi6uoo8d4wB35YnkqKiWOfrUUdK/65af6RlkVVp1l/di6bTO0gYz17aucs6pipZ30q1+f0njlEP7iGl18g0WFXCb99loZth1sc399bYkArBasP63lYSPsyW31/ibBYiE8pPG1B0jXw6bzHU9pdHSUmDbXnpxVpJo/9rXA98ckyXZup2XNaQxUfJQF+ykIXxTIlMeERVy+eoXGztqjV1lz+5xTHD+/i9Un5H0lWNaAOp47upWW7bjg6uXLs4A50Oh3eviW7nUsoe2XV8d0COMiyfOHJf0iSdKC0grSto8DGCoa0e1yh5Z4GPKS9grAYmWPXZDK15CmM9AbI1FGiAsrLVaJnC2vsrI2rvd4I1bP95OMNvtxLzd0IA/vPGyuhfm2sqOCuQG+Ai3f0bD5mefDyzntKfDgrvn/8nLgFHzfEwbUCwz/cB8D2+WPwqRpE487jcXKvTIfBX3Ns09ekxIejtnGkRuO+1G5m2XMlwbjSYDaVylgYpqTJOVNj3h1iw95zWs7fNC4o9NfOTAa2UzO8i5rQKANLd1u+4qJ/YHuadnmFtTNeQKfNoEbDYFr2mpjz/7++7U3zbuOo3bQfOm0mO/6aREJcGGpre+q0GESr3m9aHBugat32NO/2Cqt+Ncav2SiYNr0fx1/wZW9aBo+jTvN+JMaGsWXTL6QlP0Jt40CV2q3p8/Ivlseu055mXV9hdVbeAxoG0ypX3hd/3Zvm3cflXL3WaTMJOb+dvqNLp0ESGavnz7UJvNTPGSd7BfcitPy6LD7n/t5JI10Jua9h8yFjxfn+i24EVjWOmNSsoublAS58Mz+O6/eK//l7Okt0D7LCVm2snEMeGNh17vHV5xe6qrgfZeDgJQMqBfRuocTN0fiM76h4mSV7dHnO2+I4sHE2+zb8kfP6wrHNdB7wOkHtB/Hb5L68+e1mXDwqULNBO9r1Gs28b19Cp8mgbrPudBn0hmVBn9C+vrHMGdHp8VW03FOgh3dSEhotcyTr8UY9mirxdpUwGOBqqIGdZyyfdtb7+U/ZuHAKP73VBlsHF3o/PxWvigHcDznDsl/H8tHMcyiUKhycPXPeY2vvjKRQ5PlbcT2KecjRPatRWamZPKZTzt+Hjf2U6oFN+OrtAXw8bQNuHr55FrTKfuSUo7N7qUx9To4PZ+k3j8vbOZMb4uhagZFTjOXtlrlj8K0WRFCX8VjbOsHjR4qiVFqhtnGw+GIXQK2qNri7qDh2Lv9I8KcTKnL1VjprdhhbyD/Nj+CNkT4s/bEGiSk6lm+K5eINy+/vvbB/FprMFHb99fjezdxToHcuGouPfxANO47Lev0KkXeNiyBFh57n6Iap9By92KL7TYtz3NOS4zi07jNSEqKwUtvi49+YXi/PRqm0cDEJIDlXQ1+VdRrlrufeG2rL3rMazt3U0zJQhYezgu7N1HRv9rhj+tFcy499Snw4y797nP/5U4z1/IjJxvxvy6rnm3R+/NncPLvR4ovaufV94VPWz/+Y795oi52DC31fmIp3xQDu3TjDkl/G8cmfj5/de+3cXmzsHKkaWHqPMcq9mFj22gTJuY79RyPt2XUqkzM3jO07lRIa17Ri/paS38vuX8fYxljz+wvoNBnUaBRMq5656tlvjG2MwGb98AtoTqueb7BlwUTSkmOxdXCjefdxVAlsa3H8dnUlbKxgWK7n8+aeAj2sg4LQGJmjVx8fowZVFRy/VjrryOQ59srHf8s+9h8+b8fu0xrO3tBhMMC8zekM7WpD16Zq4pMMLNuVQbQF05wlSWLvjrUsmv0dBoOMh5cPz7/yDk1atCc2JpIPJwzhu99X4eHpQ59BL5CUEM+Ut54nMyMDb18/3vzwe+wdSv7oxKfBv3WPryRJlYC/MA6oysAcWZZ/kyTJDVgF+AP3gOdkWS7SfDqpqFMe/22mpjr/mxLiLe8YlZSL678zldMca+vyncIQEWH5aoglVb1q6SwIYSkry9tIJfZvLA5VkKOHLR8VKg2Vq1v2zMPS0CiwfBfYv1LALRz/hgD/8su/p2P5lfUAV0PLr7zfty2k3GIDtO5SsmcMl5SNdfndpxYaVvIOUklUrFh+dZ2fV/m2Ow+fLOGwZAnVDXQqt9jZjxkrL7HR5de+AxgRXH6LvDavbeZ5p0+hk61alNqXuMXxk2aPiyRJvoCvLMvnJElyBM4CA4CXgEeyLH8nSdKHgKssyx8UJd7TO0lbEARBEARBEARB+M+RZTlCluVzWb8nA9eAikB/YHFWssUYO8NF8p96jq8gCIIgCIIgCIJQNkpzqnPuJ/pkmZO12PGT6fyBxsBJwFuW5expgpEUsHDyk0THVxAEQRAEQRAEQSiUVIod39xP9DEbT5IcgLXAW7IsJ+V+VJosy7IkSUWeei2mOguCIAiCIAiCIAj/UyRJssLY6V0my/K6rD9HZd3/m30fcHRRtyc6voIgCIIgCIIgCEKhJIWi1H4KjGMc2p0PXJNlOfcjSTYBL2b9/iKwsaj7LqY6C4IgCIIgCIIgCIWSFP/aAtVtgJHAJUmSLmT97SPgO+BvSZJGA/eB54q6QdHxFQRBEARBEARBEAr1bz3HV5blI4C5YF0s2aaY6iwIgiAIgiAIgiD8p4kRX0EQBEEQBEEQBKFQ/+JU51InOr6CIAiCIAiCIAhCoQpblOp/2f9sx7eqX/ke1HUnIsstdt8BVcstNoCLvb5c48sGm3KL7WBXbqEBuHIjo9xit2lSvsWBbyWXco3v4WZVbrHvPCjyI+jKhFZXvvFv3tOVW+wKjQzlFhsgLb384ntUcCu32ACh95LKNb6jc/nVNRUrlm9l4+RQfiM2CkX5ljdBjZzKNb6hHIuclGRt+QUHura1Ldf4SZrybd8K5e9/tuMrCIIgCIIgCIIg/O8QU50FQRAEQRAEQRCE/7R/a1XnsiA6voIgCIIgCIIgCEKhnuYR36f37mRBEARBEARBEARBKAIx4isIgiAIgiAIgiAUSqzqLAiCIAiCIAiCIPynianOgiAIgiAIgiAIgvA/Soz4CoIgCIIgCIIgCIV6mkd8RcdXEARBEARBEARBKJTo+JaDtJQENi38mNtXjmLn6EqXZ96mQcu+JtM+vH+FHSu+JeL+VdTWtrTrPY6W3V4o8T6Medad9kEOOa+VSgmdTuaFyfdNpvevoObVoR5U9LYiPErLrJWx3HuosSh2emoCWxZP4e7Vo9g6uNJp4DvUa5E///eun+DIlj+IDL2Kjb0zE77dZ1G83I7uWsaZQxuICAuhUaveDB3/jcl0pw+uZ/XcT7BSW+f87eV3Z1G9TvMSxX8UGcKJbT8QG36FzLQExnx7rcD096/t5/TOX0iOf4ibT03aD/oSV+8aFsVOT01gy6Ip3Mk67p0HmT7ux3fO4+KxDSTGhWPr4ErTTsNpFfyKRTGf1KCagm5BKhztJHR6uBFmYNMxLZna/Gn9fSRG9VDn+Zu1lcTS3Rou3zMUK+6Rncs4c2gjEWEhNG7dy+znvmb+55w7sjnntV6vQ6Wy4usFp4sVz5SG1ZVP5F3PxqOm8w5QvYKC3i2tcHeSSM2QOXBBx6nreotix0WGcHzz98Q8uEJGWgKv/ni9wPQGg57Tu2Zw/fRatJmpOLtXod/4xVjbOlkU/+a5DVw5toSkuPtYWTtQvWFvmnZ/G4XSdDEe9/Aah9d9TELMHVw8q9Fu0Fe4Vwi0KDZA/aoKOjdS4mgLOj3cDDew5aTe5LG3s4YRnVV4OktICohJkNlxRk9otGxR7LpVJDo2VOJgA3oD3AyX2X5Gj8bM5+7tCv1aqvB0hphE2HRCR1R88eNqtRpWzPmGaxdPkpqSiKePHwNHTKRek7b50sqyzMYVf3B8/0YyMtKpXLUWw16ZTIXKlpU1udWvIhEUIOHmCJlauBoqc+CSjGzicNqqYXBbBe6OIEkQlwR7/zEQHmdZ7DYNrHmpryMa3eO/TV+ZyI37pg++WgXPdXOgaR1rlAp4EKXj+78SLQv+hInP2lOrihVv/JyAwcyp1Lq+mu7NrXGyV3A7XMfSHWkkplp23hWnrAXj8e4WpKJpTSXWVhCXJDNnq4YMy6p5HkWGcHzL98RmlTnjfjBf5kTcPcO2+WPz/E2nSaPbyN+oVj/Ysh0AzuxdxMndc9Fp0qnZOJhuQz9HZaXOly4x7gFzPumClbVdzt+ad3uF1r1eL3bM47uXce7weqIehNCgZW8Gj/3WbNqjOxZxaOt8tJnp1G0WTP+XpprcP0uc2rOIEzvnotWkU7tJMMHDTeddr9Owcf67RN6/TGJcOMPf+YsqtVqUOP7pvYs4ucsYv1bjYLoPMx0/t6Nbf+fIlhkMmbgQ/8DWFsUtz3q2PNsZWq2GVXO/5vqlE6SlJOLhXYn+IyZSt3G7fGmP79/IsllT87RvX538OzXrNrM4vvDveGo7vtuWfoFSZcW7vx4hMvQ6y38bh0+l2nhVDMiTLjU5nqW/jKHH0MnUaRqMXqchKT6qVPZh7uo45q5+3Jp4fZiH2cpYpYT3R3uz9VAiO48k0a21E++P9mbiN2HoLCgfdiw35v+tn44SFXaNVTPG4V2pNp4V8ubfytqOhm2eoU7zPhzb/mfxA5ng5OpFlwHjuHHxKFpNZoFpqwQ04vWpS0slbjaF0opq9XtQp+Uwdi+ZUGDaxNh77F/1Hj1e+hOvSg25eHgBu/56nWff2Wq2w1CQ7cuMx/3tn48SmX3c/Wrj+cR5J8sy/V7+Hm+/WsTHhLJs2micXH2p27x3sWM+6X6UgVmbNKRlGhuZA9tZ0b2pis3HdfnS3ouUmbro8WdUzVfBi92tuPGgeJ1eAGdXL7pmf+7aDLPpBo+eyuDRU3Ner5z9EZJUOssJ3Is0MHNjZk7eB7WzIriZFZuO5a+RFRK80F3NtpNaTl7T4+cpMbaPNWHRBiIeFb8hrFCoqN6wJ3VbDWfH4sIbc6d3zSDy3nkGTViJg0sFHkXdRKmyLvR95ug06bTsPRnPSg3ISI1n95LXuHRkIQ07jMmXVq/TsHvp69Rr/QKBLYdz/dQqdi99nWff2YFSZVmjMDTKwNxthpxj37+Vkq6NlWw9lb8A0+hg/VEdcUkgA4GVJZ7vouK7lVqzZWRBwmJkFuzUkZ4JViro00JJ54YKdpzJfx4rFDC0g4qT1w2cDjEQFKBgaAcVMzbpMBTztDfo9bh6eDPpy3m4efhy+dwR5vz8Pp9OW42HV8U8ac8e28WxfRt576uFuHv6snHFHyyY/jEf/7Sy+Bl+gkoFey4YePjIeFFhcBsFLWrBiev5D6ZGB1tPG3iUbHwdUAGebavgt00Gkx3lorj9QMd3ixOKlPaFPo4oFfDxrEekpstU9i6dZkazQCuUhYwyBFRS0a+dDb+tSiE63sCznW0Z1ceeX1elWBSzOGUtGDu9VbwlZm7KJCEFvF0li+r3bAqFiuoNjGXOzkLKHN+qTRn91bmc1w9vn2THwlepVCt/o72o7l49zMldcxjy5mIcXLzY8OcEjm6dTocB75p9z8SfTltUt+bm5OJJp/7juXnpSIFtjJsXj3BwyzxGf7gQJ1cvlv32BnvXzSB4yKQSxQe4c+Uwx3fMYfg7i3Fw9mLd7Akc3jydToNM592vehOadXmB9X++VeLYAHeuHubEzjkMfWsxjs5erPtzAke2TKfjQPPHPj4mlOvnduLg7Fmi2OVZz5ZnO8Og1+Hq4c3bny/A1cOXK+cPM/+X95jy81rcnyjvAarWbMikrxaXKObT6mle1fmp3HNNZhpXz+6m08CJWNvYU6VmELUadeafY5vypT2+ayE16rWlQau+qKzUWNs64Fmheqnvk7VaokUDew6eNl3B1qlhi1IBWw8modPD9sNJSBLUC7AtdixNZhrXz+2iQ/83UdvYUymgKQENO3PpxMZ8aStWbUD9VgNw9ahU7Djm1G/WjXpNu2Lv4FJq2ywOF8+q1G42GFevwkdSHoQcxcc/CB//IBRKFQ3bv0JqUhQRd4t/VfDJ4165gOPeuscYfKvURaFU4e5TjVqNuhB265yJrRZfYiqk5WoLyDK4OxVt2kmTAAWX7urRmm63Fah+827Ua9YFO0fnIr8nMyONS6d207R9/+IHNCExVc6Td0MBebezARu1xLkQY8vzQYxMdLyMl6tlxZ6rVzUCmw/Gzafw8y4zLZGLh/+i4+AvcXStiCRJuPvURGVlecc3sOUwfKo2RalSY+/sTfVGfYm6b/qcirh7Gtmgp26bF1Gq1NRtPRJkiLhz0uL4iWnkO/ZuZo69Tg+xWZ1eCTAYwM5awtbC7CelQfoT57ybo+nY/t4SCgWcuG5Ab4BTNwxIElT1Lv7ULGsbW/oOeRUPr4ooFAoaNG2Ph1dFQm/nn2USG/2QGrUb4enjh0KppEX7XkQ8uFPsmKacvy3zINZ4HFPS4UqojJ+H6fzoDeR0esF4rGytJWxLZxCsQD7uShrVVLN4SwopacYR6fuRFhQ2T7BRQ89WNqw/lF5gunrVVJy7oSUizvjZbz+eQUAlFR7Oln3ni1PW2qqhTT0law/pSMhqBkTFyyXq+Lp4VaN288EWzVC6cXYDVRsEY6W2KzyxGVdObKB+68F4VAjAxs6ZVj1f4/KJ9RZvr6jqNutOnaCu2BXSxjh3ZANNOzyDt18AtvbOdOr/KueObCiVfbh0fAMN2wzGs4Jx2216vcal46bzrlSpad71JSrVaIqilDoEl49voEFrY3wbe2da9yr82O9e+TkdB76LQlmyL3t51rPl2c6wtrGj93Ov4Z5V3tcP6oC7V0VC71wt0Xb/ixRKqdR+/m1lNuIrSVJtoCJwUpbllFx/7yHL8o6SbDsu8h4KpRIPn6o5f/OuVIv7N/J3Zh7c/gdvv5rM+3ooj6JD8avWgF7Pf4qLe4WS7EI+LRrYk5Sq5+pt01eoKvlYcT8i73yn+w81+PlYceF6wZX5kx5F3UOhUOLunTv/tbkfUvKppKUt/P41po5rjZ2DM03a9qNzvzEoS3g1uNhyDXPIyIBMfNRNKtZoVazNPIoynnfuuc87v9qEFnLcZVkm9OYZmrQfUqx4BanibZzCbKOW0Ghlluw2MwcpFysV1K+qZPGuwtOWlkundmPv6Ea12k1LbZv+3gpG9Xyc9792mZ5HmJIO52/paFpLyYlreip5KnB1lLgXWfzR7uKKiwxBoVBy59JO/jm0GLWNPQ3avkC9NiNKLUbk3TNmL/4kRN3EzacWkvS4UnHzqUl81C38alo+AlTFS2JkV1XOsV++v+BOzYR+KjycJVRKiTMhelLNX8AvVCVPieGdlMbYOplVB033KLycJaLi8440RMXLeLlI3I6wcMgzS1JCHFER96lQKf/F02Ztgjl7bBdRD+/j4VWB4wc2U7eRZVMNC1PZUyI2seC8jO5unO6sVEpcuGPI05AtdjwfFb9Ocic13cDxS5lsO5JmcuS+akUVcYkG+newo1UDGxJTDGw6mMrZ6xbO9c3Sr50th//RkFSEKctS7nZU1u8VPBTEJlr2vS9qWevjJmEwQP1qCtrWU5GhlTl6Wc+JqyXo+VpIq0nj7sWd9Bg1q0TbiY24SY0GXXJee/rVIi0plvSUeGwdXE2+58+PO4Ek4V+7DR0GvYedg1uJ9qEg0eG3CGzSOee1T+XapCTGkpYcj52j6f0rqtiImwQ0fJx3r0q1SE2KJS0lHjszeS9N+eL7GeObO/bXz25HqVJTvV6HUon/NNSz2cqinQHG8j464j6+lUzXsw/uXeP9l9tj7+BM8/Z96D5w9L/fvi0n4h7fJ0iSNBF4HbgGzJck6U1ZlrOHxb4BStTx1WSmYW3jkOdvNraOZGak5kubFB9JxP2rvPDuArz8arL77x9Z++ckRn+0oiS7kE/HZg5mR3sBbNQK0tLzFgRpGQZsrYt/VUyTmYa1bd78W9s6ojGR//JULbAp7363ERePCkQ9uMXSGe+gVCjp3H9s4W8uJRVrtOLUjp95eOcU3pUb8c/Beej1WnQFTKExR5OR/7yzNnPe5XZo0wxk2UDDNs8UO6Y596NkPluciZMdNK+tIj6l8AZhPX8FqZkydyL+vQrpzOGNBLXrl6cDVlL3ogxMXZRhzHtgwXn/55aeZ9qr6dvaCoANR7QW3+9XHCmJkWgykkmIucfzH+0hMeY+m+a8hLOnP5Vqtinx9kPOrCU2/DLtBn1p8v9aTRpW1nnPVbWNI9rMkpUR96NlvlquxdEOmtVUFnre/b5Jh0oJdSorUJZwICQsRub7v3U42hpnLiSYia22It+9aBla499LQq/TMv/Xj2jVsS8+flXz/d/Z1ZMatRvx6Rv9USiUuHp4885nc0sW1IQGVSV8XGHb6YKP/fxdBpQKqFVRKtGxvxGq5dM/HxGXYKCCl5Lxg5wwGGS2Hc1/wdbVUYmfl4qz1zKZNC2O6n5WvDnMmYex8UTEWtYBrOytpHpFFWv2JePiWHBGrt7V8XIfOw5fyCQmwUCvVjYYZBkrK8vLn6KWtU72ErbWEh7OEt+vzMTDWeKVXmpiE2Vuhf97ZS7A3Uu7sbF3xbdaydbTeLKtYW3rmPX31HydL1t7V0Z+sAYvv0DSUxPYs+oLti58j2ffmF+ifShs/2zsHHNe22Tta2ZGWok7vpoMM3nPSP1XOr7aYhz7zIwUDm2cxpA3F5Ra/Kehns1WFu0MvU7Loukf0qJDP3wq5i/vA+oEMeXndbh5ViAi7BYLpr2PQqkkeGDprOUilJ2yujQxBgiSZTlFkiR/YI0kSf6yLP9GzjXY/CRJGguMBRj93my6mOkgqa3tyMzI28nMTE/B2sY+X1orKxsCm3SlYtX6AHTs/zo/TGxFRlpyngKzKNo2sWfccx4AXLuTwTdzjPcKe7goqVvDhtl/x5p9b4bGgK1N3krb1kZBembxK0S1tR2Z6fnzrzaR//Lk7vV4erVv5Zp0G/QaB7YsKHbH99b5zRze8BkAPv5B9Bw1p8jvdfGqRodnv+XYpi9JS4qhRuN+uHpVx97Ju1j7AKC2yX/eaTJMn3fZTu9bysXjG3jx/eUWL7jRqLqCge2MFcq9SAMLdzxu1SelwY0HeoZ1tmLG+oJHVZrUVHIu5N9rgMXHPuT21dM8+8rnFm+jUQ0lg7LzHmFgwY7HeUxKg5AwPcO7qJm+Lv9wlqezxPAuapbs1nDzgQF3Z+PITVKqzPWwwo9DyLnNHFxrvIfIt2oQfV4peidGpbIBoGm311BZ2eBeoRY1GvUi9PqhInd8b13YzNFc533wS8bz/t7VPZzeOY2eoxdgY2+6AWaltkOb+cS5mpmClXXRy4iG1RT0a6UEjI3/v/Y8Ht1NToOQcANDOqiYubngUV+dHi7eNTBxgBURj2Qi4wtvENX3l+jTIit2tMzy/Y87TcnpcOuhzOB2KuZsyx9bowXrJzq51laYXQirKAwGAwumf4xKpWLYKx+aTLNl9Z/cu32F7+bsxMnFnZMHt/LLZ2P47Ne1qK2Ld0tL3coSPYKMVWVYLPx92Hi+BlSAjvUlVhw0kF6EQVS9Aa6GyYzpoSAqQSa6CGtMtahnzQu9jXXjzVAtv654/KbwaD2bD6cR3MrWZMdXq5PR6WW2HDaOCIeEarl+T0PdamoiYos2s6lZoBXDuhmn594K12FvI7F6n+kR5ifdCNWx9VgGY/rbY6OW2H82k0wNJCQXrdwrSVmbPaV57zkdOj1EPpK5eEdP7UqKInd8b57bzKF1j8ucXqMtu3AScnYDAUH9i90RuHpqE7tWGOP7VQ/K19bSZLU71CbKEbWNPT5VjO0seycPujz3CbMmt0WTkYL6iQvGpeXJtlD279Y2xZ/effnkJnYsM+a9Uo0g1DZ2aDLyb7us2llXTm1i5/LHx96qGMf+6JbfqduiH87ufhbFLs96tqRKo53xJIPBwOIZU1CqrBgyerLJNB7ej491xSo16fnsOPZsXPT/puP7NN/jW1YdX0X29GZZlu9JktQRY+e3CgV0fGVZngPMAVhx1PwyHO4+/hj0euKi7uHu7Q9AZNiNfAs7gXEKtMm5TxY4ci6VI+fyj5i0b+rA9buZRMeZbwCGRWrp2zHvPQtVfNXsPJJU7P1w8/bHYNDzKOoebln5j35wHc8KJV89tGxJGO/6K54ajftSo7HpFbuLolr94JxVLTPTk7hxZi2efvWLvR03b+N5l/u4R4WZP+4Xjqzh2PY5vPD+MpzcfCze/wu3DVy4bX6eokIq/B5fZ3vjwlbrD5dsymFxnD2yGf9ajXH3tvz+8gu39Fy4ZX6kSCFJZvPu4yYRkygTkrWQV2yizPVQA7UqK4tUIdds0peaTSw779x9a2X99njfpGKWPTUa9aVGo7zxH4Qc5ui6T+n+4mzcfGqafa+LdwCXjixCluWcxu+jyBvUaTm8yPH/uWPgnzvmj5NSMn+frcn0CnB1hMgirK586Z7MpXvmy1OFBK5m2tLRiTKtAvNWyt4uEqdvWNYIk2WZv2Z+RlJCHG9M+R2lyvTQ8YN7N2jaOhhXd+NFtdad+/P3wh95GHYH/xp1ixXzSqjMldC8ZWU1H+jVVMHfRwzEFHORZKUELg4UqeN78nImJy+bL29k2Xwt+iCq5Pfznr6m5fQ1447aWkv8MMGJ0X2Njf3sqvzr8U7M25TK7fD8ZcOhCxoOXTCWc16uCnq0suFhbNE++5KUtRFxxs8rd8uluIuJBTTpS4CFZU62lIQIHt45Rbtnit8RqNO8H3Wa98t5vWXBJGIe3KB2UC8AosOvY+fkYXaac27Z5Y5s6YpqReBVsQYRoTeo36InABFhN3Bw9rBotLdei37Ua/E47xvnTSL6wQ0Cm2bl/cF17J08ymy0t27zftTNdew3zTce+8CgvPFNHfv7N46THB/J+UPGmYxpyY/YOO8tWnR/hZbBhQ80lGc9W1Kl0c7ITZZlls2aSlJiHK9N/sNsef8kycL27dPqaZ7qXFZd9ihJkhplv8jqBPcBPIDi9zieoLa2IzCoG/vXT0eTmUbozXPcuLCXhq375UvbqO0grp/bQ0ToNfQ6LYc2z6JyQFCxR3sL0qGZAwdOJReY5uqtdAwG6NXeCZUSerQ1xr98s3j394Ix/7Ubd+PgJmP+w26dJeTCXuq3zH9jv2wwoNNmotdrkWXZ+LuuZJ0fvV6HVpOJwaBHNujRajLR6/M3eK5fOERyonEUPPrhHfZsmEWdXPfjWCo7Hwa98Wp8YXmKCb+CwaAnPeURh9dPpUpgJ1y8qhU7rtrajtpNunFgY67j/o/p437pxCb2r5/GiHcW4upZeguLgXFUwjnroq+LAwQ3syp0RKFxgJLQKJlHyZYXzNmfu2wwYDAYzH7u2c4e3kSz9gMsjmdKoxpKXOyNBa6Lg0RwM5XZvIfHyng4S1SvYCzm3BwlaldWEBFneQco+7sEBZ93zh6V8a3alHN7Z6PXaYiPus3NC9uoEtjRotgAD2+f4MCq9+g84jc8KzUoMK1v1WZICgVXji1Br9Nw9fgy49+rWf6IjYbVcp139tC1idLsPbN+nhJVvIxTbFVKaFdPgYOtceETS9T3l3DKGsRxtofOjRTcjTS9rXtRMgYZWtQyTq9uVtP4+d+Nsiz28jlfE/ngLq9Pno7a2sZsuio16nL2+G6SEuIwGAycOLAFvV6Hl2/Jv/9VvKBfCwXrjhmIeFRw2gpu4OdhXN1apYSWtSXsbOChhY8zqlddjVPWd87HXUnfdnZcCDF93oeEaolLNNCrrR0KCWr4qahdxYrLty18bF+mzJRZSXy7OJlvFyczc53xwvN3S5K5F5G/oa5Sgq+H8fN2dZQY1t2OA2czSc+07LMvTln7KFnmboSBzo1VKBXg6SLRsLqSa6GWN/6LW9cBhJzbiHeVxji7V7Y4bra6Lfpz8fgaYiNukZGWxInts6jXcqDJtA/v/sOjqDvIBgPpKfHs/fsrKgU0z5miWxyP2xiGAtsYjdv25+yhtUSH3yI9NYkDG2fTpO2AYsczpV7L/vxzdA2xD415P7ZtFvVbmc47gE6rQafNzNp/LTptZok6/fVa9ufiscfH/lgBx37om4t4+ZMtvPTRBl76aAMOLl4ED/+cJh0sW1OiPOvZ8m5nrJz7FZHhdxj/wYwCy/sr5w+TlGAsVCPD77J97Z/Ub9ap1PZDKDtSWVyNkyTJD9DJshxp4n9tZFk+Wtg2ChrxBeNzfDcunMKdK8ewdXCh6+B3aNCyL/dDzrB02limzHq82unp/Ss4tHkWWk0GlQOa0HvkVJzdfAuMv27NvcJ2EYCaVaz55FUfxkwNJeOJyvWjsd5cu5PB+j3Gq9f+FdW8OsQDP28rHkRnPcc3PH8l1ndA/vsJnmR8nuxH3L12DFt7FzoNmkS9Fn0JvXmGldPH8P6M8wDcv3GSpT/nfWZx5ZrNGfnuErPbdrEv+F6sXWt/Z/e6mXn+1m3QazTrMIif3u/Luz9sxtWjApuX/cC5I5vJzEzD0cmdJm370nXA+EKvoIWEFnwlKTk+nJU/dM3zNweXCgz7YC8A2xeOxcc/iMadxgGwafYIHkVcR6G0omr9YFr2/sDsSpfeHgVfC0pPTWDzoo+4e9V43nXOPu4hZ1gxfQwf/G487jM+7ExyQlSeR8fUb9GXXiO/KHD7V24Ufu9x96YqggKU2FobV7q9HqZn52ldzuI1o3pYcTfSwIELjz/Hd55Vc+iinjM3zH+2bZoUPAFk55o/TH7uzTsO5Mf3+vHej5tw9TAuGncv5AJ/fvsKU2cexMa2aFPDjpwtfC5qcDMVQQGqPHnfcUqbk/eXe6i5G2lg/wVjRdmgmpIuTVS4OkhkaIyLcOw4pTN5XdbXx3wlB5D06AHLvs173jm6VuD5j4zPxt4ybwy+VYMI6jIegJTEKA78PYWIe+ewdXCjccdXqNtqqMlta7SFl8Pb5r5I5P2zeR6JlHsK9M5FY/H2D6JRR+N5H/vwKkfWfUJC9G1cvKrRdtBXeFSoYzpvyYWP1HVtrKRxDQW2akjXQMgDA7vO6XNWW36hq4r7UQYOXjLg7y3Ru4USN0cJvcG4uNTe83rumel8WqkK/s53bqigYTUFNtaQkQk3Hxq3lz3dd3gnJaHRMkeuGBtbPq7QN+s5vrFJsOm4zuxIc4dG5vMeF/2Qj17thcpKjVKpzPn7iHEfExDYhM/eGsRnv67DzdMXrSaT1Yt/5vyJfWgy0/H0qcSAEW9Qr3HBU9uPXy38FojhHRVU8iDPCsG5p0A/105BWKzM8WsylTyhW2MFLvbGVaBjEuHQZQNhJu7EuXWjkF408FxXe1rWt8FGLZGUauD4pQy2HE5Dn9Wu/WK8K1uPpOWMElfwVPJSH0f8vFTEJepZtz+V8zdMd9ZsbIt347Wbk4IvxzrleY7vxy85svNkBqevabG1lnh7qAMeLgoyNTLHL2vYfCTD7Miro3PB3/nilrVOdvBMeyv8fRSkpMsc/Edv9nmmXl6FL3Ge/OgBy797oq5zrcCIycYyZ9v8MfhUDaJJ5/E5/1/1Y08adhhN7eaDC9y2k0PRRmxO713IqV1z0WkzqNkomG65niW74MvetAweR53m/bh2eguHN/1CWvIj1DYOVKndmg4D3zP5aB0Xh4I7RXvX/c6+DX/k+VvnAa8T1H4Qv03uy5vfbsYlq645sn0Rh7bOQ6fJoG6z7vR/6bNCbytKSS/amM+p3Qs5vtOY91qNg+kx4nHe537Wm1Y9x+WMEs/8qDOJceF53v/q13tx8cg//bioj1U7tWchJ7OPfeNggnMd+3lf9KZVj3F5RomzzZrSmZ7Pf2XyOb43bhU+2FKW9WzboIK/82XdzrC1Mt8Giot5yKev9UBlpUaheFzeDxv3KTVqN+HLtwfwybQNuHn6su6vnzh1aAuZGWk4OrvTvF0feg4eW2D7tmsD66d3mPQJ98cOKLXOY5U5G/7V41ImHd/SUFjHt6wVteNbForS8S1LhXV8y1phHd+yVFjHt6wVpeNbVgrr+Ja1onR8y1JhHd+yVJSOb1kqSse3LBXW8S1LBXV8/w1F6fiWlaJ0fMtScTu+pa2wjm9ZKkrHtywVteNbFgrr+Ja1onZ8y0pxnydemorS8S1LhXV8y1pBHd+y9l/q+IaOH1RqjZbKs9f9q8fl6b07WRAEQRAEQRAEQRCK4P/HA6cEQRAEQRAEQRCEEnmaF7cSHV9BEARBEARBEAShUOJxRoIgCIIgCIIgCMJ/WzGfEf6/5OntsguCIAiCIAiCIAhCEYgRX0EQBEEQBEEQBKFQ4h5fQRAEQRAEQRAE4T/tab7H9+ndc0EQBEEQBEEQBEEoAjHiKwiCIAiCIAiCIBRKTHUWBEEQBEEQBEEQ/tOe5qnO/7MdX2dbXbnG79KjarnF9nTSlltsgIh4q3KNX7Oyvtxiq1WacosNUL2qTbnFtlNnlFtsgL5tDeUaPza1/OLfuF++V0+1mvL7zgEMap1WbrHDk53LLTZAjcrl99m7uXiWW2wAN6fy/c5XcUkut9hbTpZvw7Fd7fL7zmn05dv0vKuxL9f4Fd3Lr66NeWRdbrEBbFTl275VK8uzb1G+x740Pc0jvk9vl10QBEEQBEEQBEEQiuB/dsRXEARBEARBEARB+N/xNI/4io6vIAiCIAiCIAiCULin+B7fp3fPBUEQBEEQBEEQBKEIxIivIAiCIAiCIAiCUChJElOdBUEQBEEQBEEQhP+wp/lxRk/vnguCIAiCIAiCIAhCEYgRX0EQBEEQBEEQBKFQYlVnQRAEQRAEQRAE4b/tKZ7q/NR2fA/vXM6pgxuICLtJk9a9GP7q1ybT6bQaNq+YxoXjO9BqM2nSqicDX/wQpcqqVPbj3P5FnN4zF50mnYBGwXR+7nNUVmqTaS8dW83pPXNIS4qlQrUmdB/xDQ7O3sWOeXjHck4d2sDDUGPeR7xWQN6XT+P8iR1oNZk0ad2TQaWY99N7F3Fy11y0mnRqNQ6m+zDTeY+NuMXWRe8THxMGgE/lunQd8jEevjWKHfPormWcObSBiLAQGrXqzdDx35jet4PrWT33E6zU1jl/e/ndWVSv07zYMbPptBr+nv8VIZdOkJaSiId3JfoMe5M6jdvlS/sw9CYbl/xE2N2rpCYn8NuqSxbHNeXMvkWc2jUXnTadmo2C6TrU/Hmn1aRzYN33hJzbjl6vw6tibYa+s6zYMbVaDSvnfs2NiydJTUnE06cS/YdPpG6TtibTx0Y94O/533Hz6llUVmpadR7AoJFvFztutrnTpnDt0mkyM9JxdnGnx8AXad9tYL50R/dtZu/WFURFhGFrZ0+Ldj0Y9PwElErLi7tju5Zx5vAGIrPOu+fGmT7vcpvzzShuXz3JN4svlih2tpvnNnD1+BKS4u5jZe1A9Ya9Cer2NgoT206Mvcvp7T8RHXoeg2zAs2I9WvaZgrNnVYvjN6yupFuQCkc7CZ0eboTp2XhUS6bWdPrqFRT0bmmFu5NEaobMgQs6Tl3XWxw/4mEYH0wYSfM2HZkw6bN8/9+2YSU7t6whOSkBa1s7WrXtwoiXXy/xsT+ycxlnDm0kIiyExq17mS1zAOKiwtjw17fcuXYapUpN844D6TP83RLFT0tJYP38j7l1+Rh2ji50f/YdGrbqky+dTqth67JvuHp2Dwa9jsoBjen/4mc4uRW/jnnS2X1Z9ZzWWM91MVPPXTu9iT0rp+a8lmUDOm0GI95bi3flesWOW9S8p6cmsXXZN9y8eBiA5l2G0WXghGLHe9KsXz7lysXTZGZk4OLqRu+BI+nYfUC+dLIss2bZbA7v3UJGRhpVqtXixXHv4Ve5eoni1/NX0LmREgdb0OnhZriBbaf0Jr9z7k7QPUhFZS8JSYKHsTJbT+mIS7Is9syfp2blPR0XV3d6DxpJp+7986XTajWsWvwHJ47sQZOZSav23Rk55h1UqpJ97+ZM+5hrl06RmZGBs4s7PQe+YLK8P3l4JxtW/klSQiwqlZr6TVozYsz72No5WBw7PSWBzYs/5s6Vo9g5uNLpmbep36JvvnQndi3i9L6lpKXEo7a2o26zXnR99j2TZXJRabUaVsz9hus59awfA4ZPpJ6JelaWZTat/INj+zeSmZFOJf9aDBszmQqVit+2yq04dQ3AkfWfEnnvNElx92k36GsCmuT/nIpCq9Xw97yvuZ6rjdVv+ETqmmhj5Tb9i1cIuXyK31acK3F5P+/XKVy/eJrMzHScXNzpMeBF2pk478Lv3+Lvxb8Qevs6KckJzF13rkRxnzZixLccOLt60n3gOK5fPIpWk2k23Z6N8wi7c4X3f9yAbNAz78cJ7Fr/Jz2fLXmleO/aYU7vmcMzExbj4OzF5nkTOL59Ou365W/ohN08ydEtvzD4jb9w9azCgbVfs23RJJ57c2mx4zq5edJt4Diu/1O0vH+Qlfe5P5Re3u9cPcyJnXMY+tZiHJ29WPfnBI5smU7Hgfnz7uDsxYCx03Fyq4gsGzh3YBmb5r/Nyx9vLnZcJ1cvugwYx41CPneAKgGNeH1q8Y+vOXq9Dld3H96YuhBXD1+unj/Mol/f5YMf1+HuVTFPWqVKRaNWwbTtPoR5P71ZavsAcPfqYU7tmsNzExfj4OLFhjkTOLZ1Ou0HmG5g71r+CQaDnlGfbMfG3pnoB9csimvIyv/bX8zH1cOXK+cOM++X9/j4lzX58q/Tapn+xTg69BjC6Hd+QKFQEvXwvkVxs/V65mVemjAVKys1EQ/u8sMnY6lcrRb+1evkSafRZDB09LtUC6hPclI8M755i50bltDrmVEWx3Zy9aJL/3GEXCr8vAM4f3QzBr3O4nim6LTptOg9GU+/BmSkxrNn6WuobRfSsMOYfGk16clUDuxEu2e+xsranvP7ZrJn6es88/Y2i+PfizQwc2MmaZmgVsGgdlYEN7Ni07H8rXCFBC90V7PtpJaT1/T4eUqM7WNNWLSBiEeyRfEXzvqJagGBZv8f1KItHbr2xt7BkZTkJKZ99xE7Nq+m94BhFsXL5uzqRdfsMkebYTadTqdhzrdjaN1tKM+/8RMKhZKYyHslig2w+a8vUaqs+HDGYSJCr7Pkl/H4VKqFt19AnnTHd/1F2K0LvPHVBqxtHdm48FO2LP2K4RNnlCh+dj03+A1jPbdp7gSOb5tOu/75y5vAZv0IbNYv5/WVE+s4sXMmXpXqWhS7qHnftvw7tJoMJv28h9SkRyz4fhQu7hUIaj/IorjZ+g5+kVfe+BgrKzUPH9zjmynjqVKtFlVr5D0PTx3dw6E9m/nku7l4ePqwetlsZk/7jK+mLSlR/NBoA/O2G3K+c31bKenSWMm2U/kvINmoJW6EGdhw1ECmFjo2VDK8sxUzNpi5MlWIfs++yJiJU3Ly/vVHr+JfrWa+vG9e8xd3bl3juxnLMRgM/PzlJDb+vYBnho+1KG623s+MYtSET3PK++8/GUflarXxr543fkBgQz76dj6OTq5kpKfx1+yvWbd8JiNeed/i2NuXf4FSacU7vxwhMuw6K6ePw9uvNl4V8553NRt1plHbQdjYOZGeksCa2W9yau8SWna3vK4x6PW4unvzzhfzcPPw5fK5I8z95X0++WU1Hk/Us2eP7+LYvo28+9VC3D182bjyDxZO/5gpP660OD4Ur64BcPOtRbUGPTm94+cSxTXodbi4e/PWZwuMbYzzh1kw7T0++mltvjZGttOHt6Ivxbq256CXefH1x+2Mnz41tjOqPNHOUKpUNG3dnU49nuOP794ptfhC2Xtqx6obNO9G/WZdsHdwKTDdlXMHaN9jBPYOzjg4udGuxwhOHVhfKvtw9dQG6rYcjIdvADZ2zrQIfo2rJ01v++6VA9Rs1AMP3wCUKjUterxG+O3TJMSEFjtuw+bdaNCsC/aOLgWmu3LuAO17Ps57+x4jOLm/dPJ++fgGGrQejGeFAGzsnWnd6zUunzC9bRs7J5zd/YzLn8syCoWS+Oji5xugfrNu1GvatdDPvSxY29jR89nXcPeqiEKhoF5QB9y8KhJ292q+tN4VqtKq8yB8Snjl1ZQrJzdQv9VgPCoYz7tWPcwf+7jI29y+tI/uw77EztENhUKJjwUjL2DMf58hr+bkv37TDrh7VST0Tv6O9IkDG3F29aRL3xewtrHDSm2Nn39Ni+Jmq1i5OlZZo0ySJCFJEjGRD/Kl69TjWWrWaYLKygpXdy9atO/FresXShS7XrNu1G3aFbsinHfpacnsWT+TnsNKNtL3pMAWw/Dxb4pSpcbe2ZvqDfsSfd/0VWbPSg2o2XQw1nYuKJRW1GvzIomxd8lIi7c4fmKqTFquPr9BBncn01d97WyMDfFzIcYG+oMYmeh4GS9Xy6qcY4d2Y2fvSL2GQWbTePv6Ye/gCBhHQhSSgsiH+c+P4qrfvBv1mnXBztG5wHRnDm7AydWTDr1fyjnnK1SuVaLYmsw0rp7ZTddnJmJtY49/zSBqN+7EhWOb8qWNj3lAjfptcHD2wEptTf0WPYkOv1Wi+GAsb+rlquda9niNK2bquXzvPbWeOs0GWPToi+Lk/caF/bTrNRq1tS2unhUJ6vAM5w6vK3bMJ/nlLnOQQJKINlHmxEQ9pGadhnj5VEShVNKmYw8eht0tcfykNPJ852QZ3BxNH8vwWJlztwyka4zfzeNX9Xg6S9ham0xeKL/K1XLyTlbeoyLD86U7f/owwX2G4ODojJOzK8F9h3BwT/Evaj8pd3mPZBzFjo4My5fOzcMHRyfXnNeSQkl0hOXfe01mGtfO7qbjgImobeypHBBEzYaduXQ8/3nn5lUZGzsnAGRkJEnBIwvbNtmsbWzpO+RVPLLq2QZN2+Nhpp6Ni3pI9dqN8PT2Q6FU0qJ9LyIe3ClRfCheXQNQp+UIKlRvhdLKwpMti7WNHb2fe9zGqh+U3cbI38YCY127bc1sBoywfCbZk/K1MzD9nfep6E+7rgOoUKlaqcV+mkiSotR+/m1lNuIrSVJzQJZl+bQkSXWAHsB1WZYtH3KwkCzLuV+Q8CiK9LRkbO0cS7TduIibVK/fJee1Z8VapCXHkp4aj629a770Mrn3I3sbIbh4Vi7RfhQkd95lSi/vsRE3CWj4OO9efrVITYolPSUeW4f8eQf49Z2maDLTkGUD7fpMLFH8ogi/f42p41pj5+BMk7b96NxvTKlMOc2WlBBLTMR9fP1KNp2tuOIiblKjQa7zzi/rvDNx7CPvX8LJrSLHtk7n6qmN2Dt70brXBGo2Di7xfiQlxBEdcR/fSvnzfzfkIu5eFfj9q9e4f/sKFSrV4LnRH1KxSoCJLRXdkj+/5di+zWg0GVSuVpv6ZqZZ5xZy9RwVTOxjWdn596+07DIUR2ePMo0Tee8MLt5Fu7ASee8Mtg4e2NiZ/m4Wlb+3glE91dioJTRamb92aUymS0mH87d0NK2l5MQ1PZU8Fbg6StyLNBQ7ZlpaKquXzePjr2ewf1f+xmduRw/sYv7MH0hPT8PRyYXnR79R7HiWun/rIq6eFZn7/TjCbl/Gp1IAA1/8CN/Kll/wiY28h0KpxMPn8RR130q1uXvjdL60QR0Gs3XpNyTFR2Nj58g/x7cQ0KDgKYJFERdxkxrFqOeyJT0KJ/zWGYKHF35bgCnFyTtg7BXm+j3qwU2L4j5p0ezvObx3CxpNJlWq1aJhUJt8aVq2687Jo3uJCL+Pp3dFDu/bSv0mLUslfmUviee7qHK+cysOFG10q4q3RHKaTHrhE1TMWjjrhzx5bxTU2mS63G0bWZZ5FBtNWmoKdvaWTzcGY3l/dN9mNJpMKlerRQMz5X3I1fP89vWbpKelora2YcKHP1kcMy7KeN655zrvvCvV4r6Z8+7Syc1sW/IZmoxU7Bxc6frcBxbHNiUpIY6oiPsm67CmbYM5e3wXUQ/v4+FVgeMHNlO3kenPqCSKU9eUpsdtDNOxNy2fTrtuz+HkUrp17bI/v+XY/qx2RtWitTP+3xFTnfOSJGkq0BNQSZK0G2gB7Ac+lCSpsSzLpm9KLQOBDdtyaMdSAuo2x2AwcGiH8d5GTWZGiTt/2sw0rG0eF+xqW+P2NBmp+RoEVQLbsW3R2zRoMxRXT39O7PgDJKnAqXMlVbthWw5tz5X37aWcd9vHebfOzntmqtmO71u/nEGTmcblE+txdjM9baW0VAtsyrvfbcTFowJRD26xdMY7KBVKOvcv2fSrbHqdliUzPqR5+354V/x3r/hpnjjvCjr2yfGRxD4MIaBRd8Z/c5iHdy+wbuY43H1r4O5jeWdQr9Oy8LfJtOzYF5+K+e8bjY+LIuTKGV794Ddq1W/B/m3LmP39m0z9bSMqK8vvMR85bjIjXnmf2zcucv3K2UK3dXjPBu7fvspLr39icczieHDnMvdCztF35GQSH0WVWZyQM2uJDb9M24FfFpo2NTGS45u+pHmvD0sc916UgamLMnCyg+aBKuJTzE9b/ueWnmfaq+nb2vgZbTiiJTG1+NOcVy+dQ6dufXD38Co0bZuO3WnTsTsRD8M4vG87zi5uxY5nqcRHUdy6eopRk34noF4LDm9fysKf3+D9nzejUpm+/74wmoy85SyAtZ0DmRmp+dK6e1fB2d2HH97qgEKhxNuvJn1GfmxR3Ny0mjTUtkWr53K7emoDFas3xdmjkkVxi5P3gPrtOLR1Ls+M+Y6UpFjOHlqHVpNuUdwnvTT+A14Y8y43b1zi2uWzJu9tdnH1oGZgQ95/7VkUCiVuHl5M/mpmqcQPjZb5ZoUWRztoGqAkoYDvXDYnO+jTUsWOM5bfUw8w6tX3eXHsJGPeL50zmfcGTVqxc9Mq6tQPwmAwsGvL3wBkZmaUuOObXd7funGRGwWU9zXrNOaPZYeIj4vm4O71eHhWsDimNiNv/QrGOlZj4rwDqN+iL/Vb9CUu6h4Xj2/Ewcnd4thP0uu0LPjtI1qZqWedXTypXrsRUyf2R6FQ4urhzdtT55ZafCheXVOa9Doti2d8SIsO/Uzm/f7tK9y5cYHBoz4gIa5069oR4yYz7JX3uR1ykRuXC29nCE+XshpjHgy0AdoDrwMDZFn+EggGhph7kyRJYyVJOiNJ0pnt6+aVyo50HTgWP/9AfvpwML9NfZ76TTujVKpwdC5+4XTt9CZ+f7cxv7/bmPWzXsHK2o7MjJSc/2uyflfb2Od7b5VarWnVcyJbFkxk/uedcXKriNraHgcXH8szV4huA8dS0T+QHz8YzG+fPk/9Zpbn/cqpTfzyVmN+easxf88wkff0rLxb5897bmprOxq3G8aWxR+QmhRX7P0oKnevSrh5+aFQKPCtXJNug17j4qldpbJtg8HAkt8/QqmyYvDLH5XKNgty9dQmfnu7Mb+93Zg1f7yCuhjHXqW2QaG0olWPV1Gq1FQKaE6lmi24d+2IxftjMBhYNH0KKpUVQ0ZPNplGrbaheu1G1G3SFpWVFV37vUhqSiKR4SWfhqVQKgmo05j42CgO7FhjNt25k/tZt/R33vpkRp6pcGXFYDCwftGX9Bv5UanMLLh9YTN/fR7EX58HsXPR4ws296/u4cyuaXR/cQ42BXQ8ANJTH7Fz4SvUbjGM6g17Fyt+oxpKvhhlwxejbHi5R94Gb1IahITpGd7FdIfO01lieBc1fx/QMGVeBr+szqRDQxW1KxWvyrl3J4RLF87Qq//QYr3Pt0Il/CpXZcEsy0d+istKbU3VWo0JbNQOlUpNxz6jSEtJILoE57zaxo7M9JQ8f8tMT8XaRB2z+a8v0Wk1fPTHcT6dc446Tbvy18/jih3z2ulNzJjUmBmTGrNu5itYqe1y6jYouJ7L7eqpjdRpMaDY8bMVJ++9n/8IldqGaR/0YNmvr9OgZS+cXEuvblUoldSq04j42Gj2bl+b7//rV83jzs2r/DZ/MwvWHGbg0DF8+/FrZGYW78J2g6oKpgy3YspwK0Z2yVuGJKcZF7d6tn3BZYudNbzQzYpT1/Vculv8GRZPys77ozjTee//7Ev4V6vJlDdH8vn7rxDUoj1KlarULjoplEpq1mlMfGw0+wso7wFc3b2o37g1s38xXS8VhZVN3voVIDM9pdDz3d3bH88KNdi29AuLY+dmMBhYOP1jlCoVQ0ebvmi5dc2f3L91hW//3MmMFSfp/ew4pn0+Bk1m8S76lEZdU5oMBgOLf5+CUmXFcy/n/ywNBgN/z/uawaM+KNVZfLkplEoCAhsTHxfFwZ0Fn3f/H0kKRan9/NvKaqqzTpZlPZAmSdJtWZaTAGRZTpckyWxJLMvyHGAOwLZzWstWQHmCWm3DM6Om8MyoKQAc27sav2p1UVhwsJ9cuGPb4knEPrxBrSa9AIgJv46do4fZq+CN2o+gUfsRAMRH3+Xkrll4+JZs6mdB1GobBr88hcEvZ+V9j+V5r9u8H3WbP877pvmTiHlwg8AgY96jH1zH3snD7GhvbrJsQKdJJyUxCvtSvDpaMAko+SklyzIrZn9KcmIc4ybPLLUVsgtSp3k/6uQ69lsWTiIm/Aa1g54470wce88K+e8xtOB2uxyyLLN01lSSEuN4/aM/zOa/YpUAbt+4YHmgIjAY9CbvvQG4dO4oi2d+yZtTpuNXwunVRZWZnkL43css+9240IVsMBZ130zsxPNvTKNq7abF2l71Rn2p3ijvSqIPQg5zdP2ndHthNm4+BU+hzUxPZOfCV6gU2IlGncYXKzbAhVt6LtwyP2KkkCSz9/j6uEnEJMqEPDAeg9hEmeuhBmpVVnI9rOiN8auXzhMbHcGEl42ramZkpGMw6Jkc+hLf/raowPfq9XqiIvLfk1hWfCvV5G7I+VLdpoePPwa9ntjIe3j4+AMQGXodr4r5p/5FhF6j2+C3cu5Db9n1efaum0Fqcjz2jkVvtD5Zz21dZCxvcuq5BwXXcwDhd86SkhhNzUaW31JRnLzbObjw3Pgfc17vWj0Nv2r1LY5tjl5vuswJvRtCy3bdcPMwrqDdvksfls3/hfDQO1QLqJMvvTkX7xq4WEBnVaEwf48vgI0aXuym4kaYgUOXSt7pzU2v1xNlIu9qaxteHP8eL45/D4B9O9ZTtXpti9oZBcY36Eyu6ZB/P4uWzhx3b+N5Fxd1D3dvfwCiHtzAs0Lh9YhBryfegnVbniTLMktmfUZSYhwTPvrdbD374O4NgtoE4+puPO9ad+rP6oU/EhF2hyo1ir6gXEnrmtIkyzLLZk8lOTGOVyebbmNkpKcQeucKC6YZz7nsuvbj8d0Y/c5P1Ag0vxZEcRn0+hKdT/9V/+aqzpIkLQD6ANGyLNfL+ttnwBggJivZR0W9lbasutoaSZLssn7POQMlSXIGSqU01ut1aDWZGAx6DAY9Wk2myZXdEh5FkfgoGlmWuXfzH3avm02Pwa+Vxi5Qp1l/Lh9fQ1zELTLSkji1cxZ1Wphexl2nzST2YQiyLJP06CF7Vn5K4w4vYGNX8IIppuTOu1yMvO9aN5uepZT3ei37c/HYGmKz8n5s+yzqtTSd97vXjhIVdhWDQU9megr71nyHjZ2TRVNti5r36xcOkZwYC0D0wzvs2TCLOk06Fzvek/6e9yVR4XcZ+8HvqNU2ZtPJsmzcN51xRU2tJhOd1vT9kMVVt3l/LuU69sd3mD/2fgFNcXL15eSuPzHodYTfPktoyEn8Ay27Z2XFnK+IfHCXVz+cgdrafP6bt+/D3ZBLXL94AoNez74tS3FwdMHHwmnhSQmPOHl4JxnpaRj0ei6fP8bJwzuo0yD/46muXTzF3Gkf89r7P1KtpmULeT2pKOWNjZ0jU2Yc4K2v1/HW1+sY9e5sACZ+uYZKNRqUeB8e3j7Bwb/fo/Pw3/CsVPD2NBkp7Fw4Bu/KjWkWPKnEscE4Auxib6zsXBwkgpupuBVuujgPj5XxcJaoXsFYxbg5StSurCAirnjFf5fg/vw6dzXfTV/Md9MX07XHABo3bc3kL6blS7tv5yYSEx4B8CD0LhtXLylwMayiyv7sZYMBg8Fgtsxp0rYvobcuEnLpOAaDnsPb/8Le0RWvEtwKoba2o07TruxdNwNNZhr3Q85x7fw+GrXuly9txar1OX90Ixlpyeh1Wk7uW4Gji1exOr2m1Gmet547uXMWdc3Uc9muntxAQMPuqG0sn+panLzHRYWSlhKPwaAn5J9DnDnwNx37Ff9iT26JCY84fmhXTplz8dxxjh/eRd0GzfKlrRpQh1NH95KYEIfBYODI/m3odDq8fS2b5p2tQVUFzlkDjc720LWxkjsRpi/gWlvBC91UhMbI7D5XsinO+fN+ghOHTOf9UVw08XExyLLMreuX2PD3Ap4Zbnr136IyXd7vJNBEeX/84DbiYiIAiI2OYN2ymQTWt/yxhWprO2o36cbBjdPRZKYRdvMcIRf2Ur9V/vPu/KHVOTPXYh7e4uj2OVQNLPm93cvnfE3kg7u89uH0AuvZKjXqcu74bpKyzrsTB7eg1+vwLOF5V5y6BkCv06DTZoIsY9Br0WkzczqjxbVy7ldEhd9h/AczzLaxbO0c+frPvUz+cTWTf1zNq5P/AOCD71fiH2B5XZuU8IhTR/Ked6eO7KC2ifMpu42n0xnrAq0mE20ptfGeCpKi9H4KtwjjOlFPmibLcqOsnyKvHyXlWfiplEiSZC3Lcr4lFSRJ8gB8ZVku9KGmhY347ljzBzvXzsrzt+BnXqVFx0F8924/PvxpE64evty+doZlMz8iJekRLu4+BA8aT1Db/M8BfFJoTNFG8s7uW8iZvXPRaTKo8cTzDRd/05vm3cYR2KwfGWlJrJ4+goTYMNTW9tRtMYjWfd5CoVDm22YVr4IfP7B9tem8t+w0iG8n9WPyz4/zvvSPXHl/ZjxNi5D3iPii5f3UnoWc3DUXnTaDmo2DCc71HN95X/SmVY9x1G3ej+tnt3N4828kJ0ShsrLG178BHfq/g5dfbZPb9XAyX2nvWvs7u9flvXeq26DXaNZhED+935d3f9iMq0cFNi/7gXNHNpOZmYajkztN2val64DxhY7QqlXmYz+KecjnE4JRWanzfG5DxnxKtcAgvn2nP5N/2Yibhy9x0eF88Ube76mbZwWm/r6zwPhhsUW7F/DM3oWc2m089gGNgumW6zm+C7/sTYvgcTmjxLEPb7Jz+cfEhN/Aya0C7fq+TUCjbvm2Wc274Gl5cTEP+eTVnqis1CiVj/M/bOwn1AhswpdvD+STaetx8/QF4PyJPWxY+ivJiY+oVDWQIYU8X9Baaf7YJyfGM/OH9wi7Z7x45O7pS5feQ+nQfRBxMRF8MnEwX05fg7unLz98MpabV89jpX58LAMCG/P2p78XmL/YVPMNjN1rf2fP+rznXdeBr9G0wyB++aAv73xvPO9yexQTzvdvdyvSc3xv3C/86um2eS8Sdf8sStXjlTO9qwQR/NIcAHYuGouPfxANO47j5rkNHF47GZWVbZ4h/kFvbsbBJf/9b48eFb4CTnAzFUEBKmytIT0Trofp2XFKm7Pq7Ms91NyNNLD/grEh0KCaki5NVLg6SGRojItd7TilMznvYkjHtELjA6xZPo/IiAdMmPQZ169c4LvPJrFo9V4AZv/6FefPHiczPR1HZxdatunMs8+PQa0ueKXR8OSCLz7uXPOHyTKneceB/PheP977cVPOZ3/p1G62rPiZlKRHVPSvw6BRH+PjV/CiMBnagiv+PM+ydXCh+3PGZ9neu3GGv34ex6dzzmali2fL0m+4ffkYer0Wr4oB9Br2AX7VzTcEHyUV7dr32X0Ls57jm0FAw2C6DMlVz33dm+bdx+WMEuu0mfw5pQ19R8+gcq1WBW7XzangxnFR837p5Ha2Lf+WjLRk3H38CX5uEgH1C7+4V8Ul2ez/khLjmf79h4Tdu4nBIOPh5UP3PkPo1H0AsTGRfDhhCN/9vgoPTx80mkyWL/iNMyf2k5mRgbevH8+NfI0GTcznf8tJ20L3r0tjJY2qK7BVQ7rGONV59zl9zoJVI7uouB9tHN1tVF3BoLYqNNo8y2jy+0YtiSZuT+3b0vx3LikxnunfTSb03k0MBgMeXr4E93mOTsHGvH/w+lC+/2MlHp4+XL98ntm/fk5SwiPcPL0ZOGQ0bTqaaqM+ptEXXB4mJcYz84f3c5X3PnTNVd5/PPFZvpq+GndPX9Yu/YNjB7aQmpKEvYMT9Zu0YfDzE3BwcjG7/btxBU9bTk9JYNOiKdy9egxbBxc6P/MO9Vv0JTTkDMt/G8uHfxhXON60YDK3Lh1Ck5mGnaMrdZr2oOOAN1EVsrpxRRfzdW1czEOmvNorXz07fOzHBAQ24fO3BzF12jrcPH3RajJZs/hnzp/chyYzHU+fSgwY/gZ1G+dfgC3bqRuFr7xcnLrGmP4FIu/mXfyr5+jF+FbL32FsEmC+ffso5iGfvt4jXxtr2NhPqR7YhK/eHsDH0zbg5uGb531x0eFMndCzSM/xtVaZXxwuOTGe2T/mbWd07j2U9t2M593UNwfz+W/GdkZs9EMmj8/bnnb39OW7P7ea3X77uvZP74pQT0j86c1S6zw6v/tbocdFkiR/YMsTI74psiwX+36mMun4lobSmupsqaJ2fMtCYR3fslbUjm9ZKajjW9YK6vj+G4ra8S0LhXV8y1pBHd9/Q0Ed37JWlI5vWSpKx7csFbXjWxYK6/iWtcI6vmWpqB3fslJYx7esFdTxLWtF6fiWpYI6vmWtsI5vWSus41vWCur4lrWidHzLUkEd339DQR3fsvZf6vgm/fJW6XV8J/02Dsi98uycrFtfc5jp+L4EJAFngEmyLBfpeY1P7XN8BUEQBEEQBEEQhH+RQlFqP7Isz5FluWmunzmF7wCzgOpAIyAC+LnIu25ZjgVBEARBEARBEATh3yPLcpQsy3pZlg3AXKDIN/aX73wTQRAEQRAEQRAE4akgleTxIKUT31eW5YislwOBy0V9r+j4CoIgCIIgCIIgCIX7F5+/K0nSCqAj4CFJ0gNgKtBRkqRGGJ9Teg8o8kPrRcdXEARBEARBEARB+J8iy/IwE3+eb+n2RMdXEARBEARBEARBKJSkeHoXqBYdX0EQBEEQBEEQBKFw0tO7NrLo+AqCIAiCIAiCIAiFe4pHfJ/eLrsgCIIgCIIgCIIgFIEY8RUEQRAEQRAEQRAKJYmpzqXP2yG5XOMHOj8qt9jxetdyiw3galu+p0U1w81yi61TqsstNkDNqvblFttek1BusQFirCqWa/xK6gflFruRa/lOG0rFsVzju+siyy22l6NVucUGSFaWX3mv8tSVW2wAj5R75Rr/vrJOucUe2FpbbrEB3Ikpv+Dl3Gb2qOBQrvFT9XblFntIo7Byiw0Qo/cq1/heyqhyjF6rHGOXMjHVWRAEQRAEQRAEQRD+N/3PjvgKgiAIgiAIgiAI/zskxdM7bio6voIgCIIgCIIgCELhJDHVWRAEQRAEQRAEQRD+J4kRX0EQBEEQBEEQBKFwYqqzIAiCIAiCIAiC8J/2FE91Fh1fQRAEQRAEQRAEoVBP8+JWT++eC4IgCIIgCIIgCEIRiBFfQRAEQRAEQRAEoXDS0ztuKjq+giAIgiAIgiAIQuEU4h7fchPxMIwPJzxP8zadeH3SZ/n+v3ndUg7v3U5sTCSOjs507T2IvoOeL5XYBw4eZNny5URHx+Dm6sqkd96mXr16ZtN/OPkjLvzzD1s3b0KpVJY4fsTDMD6YMJLmbToywUTet21Yyc4ta0hOSsDa1o5Wbbsw4uXXUSpL9rHP/uVTrl48TWZGBs6ubvQaOJKO3QfkSyfLMmuXzebw3i1kZqRRpVotRo57D7/K1S2O3X3Yy3leZ2o0DOjRjbfHvJgv7U+z5rPr0NGc1zqdHpVKxa4V8y2O3/O5vOeORqOhf89gJo4bnS/tjr0HWLdlG+EPI7Gzs6VL+7aMeWF4iT/7AwcPsnz5cqKjo3F1dWXSO+/kO+/u3bvH3HnzuHXrFklJSWzftq1EMQGCh47K8zr72L819qV8abfvPcj3f8zBWq3O+dt3U96jcf06Jd6Ph+EPeOf1UbRq04E33/s43/9TU5JZMGcG586cBKBH7wEMGTEqXzpL7D94iKXLVxIdY/zOv/v2m9SvVzdPml279/LL9Bmoc+X9y6mf0LBB/RLHP3DwEEuXr8iJP+ntt/LFz+2Dj6Zw4Z+LbNu0oUTn3ScfvknI9as523Bz9+T3OUvypbv0z3lWr1jMnds3sXdw4M+FqyyOma3HkLzf7UyNhv49u/PW2II/07c/+ZJzF6+wd90yVCXIe+9nR+R5rdFo6NcrmDfGvWIy/ZoNm1m5dgOZmZm0b9OKN18bi9rKyuL4Uz54+4lj78HMuX/lS7dp/Wq2bt5AUmIiNra2tG3fkZdGjy9xefPhB+9y4/q1nO24u3vw59wF+dJptRr+nD2LE8ePotPpCaxTh9cnvImHh4fFsR9Gx/Lj/OVcDrmDlUpF55ZNeOulISY/z/ikZKYtXMXRcxdRKBS0alyPLyaa/oyKKyI8jPcmvEiLNh15491PTaa5c+sGi+dO5+7tEGxsbBjw7Eh69X+uVGK/P+EFWrTpyIR3p+b7/+pl89nw92JUVo/Lmx9+X4y3T8USx95/8DBLVqwiJiYGV1cX3ntrYr7y5tffZ7H3wMGc13qdDpWVik2rVz618T/64J185/ysuYtMpr196yZz/5zJnds3sbax4dnnhtNvwCCLY+dWWBsvm06r5YOJL5CRnsYfizaWSuzyqmtm/jyVKxdPk5mRjourO70HjaRT9/750mm1GlYt/oMTR/agycykVfvujBzzDipVybs1RannASIiIpn55xwuXr6ClZWK4G5dGfNy6bQ1hLLz1Hd8F836iWoBgeYTyPDq259SuWp1oiLC+e7Tt3D38KZ1+24linvu3HkWLFjI5MkfUqtmTR49elRg+n3796PT6UoU80kLC8l7UIu2dOjaG3sHR1KSk5j23Ufs2Lya3gOGlShun8EvMvqNj7GyUvPwwT2+mzKeKtVqUbVG3n05dXQPh/dsZsp3c/Hw9GHNstnMmfYZX0zL32Auql0rHje40tIzGPDya3Rq3dxk2ndfHc27rz7ukH49fTaKEk7P2P730pzf09PTGfTiGDq0aWUybWZmJhNeGUVgzRokJCUx5avvWbV+E8MHD7Q4/rlz51i4YAEfTp5c4HmnUqlo364dfXr35osvv7Q4Xm47Vy7M+T0tPYOBo16lY5sWZtPXrRXAH99+Viqxc5s3axo1atYy+/+Fc38nMyOD2QtWkZgYz2cfvYOnlzedu/UqUdyz588zf+Fipnz4XtaxjzebNrB2Lab9+H2J4pmOv4iPPny/0PgA+/YfQKfTl1r8V159k27BfQpMY2NjQ+fuvWibmcnaXN+VktixanHO72npGQx6aRyd2rQs8D27DxwptbxvXb0s5/f09HQGv/CK2e/86XPnWbF2PT9/9Rnu7m5M/foHFi9byZiXRpZoH8a+OpFuPXoXmKZZy9Z07tYTBwcHkpOT+OHrz9iycR39Bz1botgA41+dQHCPngWm2bhhA9evX2PGH39ib2/PjOm/8ufsP5jycf7OWlH9OH85rk6ObPnzR1LS0pj45TTW7jzAkF5d8qX98KdZBFb3Z+Os77BRq7kd9tDiuE9aMPsXqgfUNvv/pMQEvp06iRdemUjLth3RaXXExUWXUuyfqVZAbIBW7bqY7BSXxNnzF5i36C+mfPAutWsGmC1v3prwKm9NeDXn9Q/TfitxPfu/EH/cq2/QvUfBdUZSYiKffTKZ0WNfpU3bdmi1OuJiY0ocO1thbbxsm9ctw8nZhYz0tFKJW551Tb9nX2TMxCk57cuvP3oV/2o187UvN6/5izu3rvHdjOUYDAZ+/nISG/9ewDPDx5YoflHrea1Wy4cff0rfPr346MP3USoUPAgPL1Hsp4n0FE91/tf2XJKk/JeoS+jYod3Y2TtQt2FTs2n6PvM8VWvUQqlUUcGvCkEt2hFy7WKJYy9ZtpThw4cRWLs2CoUCDw8Ps1e2U1NTWbZsOaNHv2zy/5Yw5t2Reg2DzKbx9vXD3sERMI6+KiQFkQ8flDi2X+XqWGVdXZaQQJKIjsy/3diohwTUaYiXT0UUSiWtO/bgYdjdEsfPdvD4KVycnWhYp+BGAUB6RgYHj5+mR6d2pRf/2ElcnZ1pUNd0xdS/VzAN6gZiZWWFp7s7XTu04/K1GyWKuXTZMoYPH17oeefn50dwcDBVqlQpUTxzinPsS9ORg3uxs3egfgHn/ZlTxxkweBjWNjZ4efvSpXsv9u0u+Yj3kqUrGDFsSK5j746Hh3uJt1v0+MsZMWxokeKnpqaydPkKXnn5pX9t/wACagXSsXN3vH18y2T7h46fxMXZmQYFnHcpqWksWrWG8S+NMJvG4vjHTuDq7ET9uqZnLuzae4Ce3brgX6Uyjg4OPD90MDv3Hij1/TDF17ciDg4OgLG8lxQKIiL+vYZYVFQkTZoE4erqilqtpn37DoTev1+ibT6MjqVrq6ZYq61wd3GmZaN63H2Qv0N78p8rRMXF88bIwTjY2aFSqahVtXKJYmc7enAPdvYOBda1WzesomGTFrTr1B0rKzW2dnb4VfIvcexjB/dgb+9IvQLaOGXlr2UreH7Yc9SpXavI5V16RgZHjh2nW5dOT338otiwfg2NmzSlY6cuWFmpsbOzo1Ll0qlzi9LGA4iOfMiRAzvpP/iFUokL5VvX+FWultO+JKt9GRWZvxw7f/owwX2G4ODojJOzK8F9h3Bwz+YSxy9qPb9rz17c3d0YPHAAtjY2qNVqqlWtWuL4Tw2FVHo///aul8VGJUna9MTPZmBQ9uvSiJGWlsqaZXN5/pU3i/weWZa5fvUCfpVLdnLq9Xpu3rxFYmIio0a/wvMjX+CPmbPIzMw0mX7hosX07t0LV1fXEsXNlpaWyupl8xj5ysRC0x49sIuXn+vK2BE9uX/3Fl17DiiVfVg8+3vGPNuOD19/FhdXDxoGtcmXpkW77kRHhhMZfh+dTsfRfVup36TgkZri2LH/MD06tkMqwvPEDh4/jYuzI43qll5Hbde+A3Tv1KFI8QEuXrmGf2U/i+MZz7ubJCYm8vLo0Tw/ciQzZ840e96VpR37DxFcyLG/eec+fUeOZfhr77B41Tp0+pJdEU5LS2Xl0gWMGvN6oWllOe/vofdKdsFFr9cTcusWiYlJvPTKWIa/MIrfZ802e+xv3b7D4GEjGDVmPEtXrERfwrzr9Xpu3jKWOS+9MpYRL7xUYPyFi/+iT6+epVbmACxbNJcXh/Vj8rsTuHzxfKlttzh27DtEcKeCz7u5S1bSv0c33FycSz3+rn0H6Na5o9n490LDqF7VP+d1dX9/4hMSSExKLlHcJYvmMXLoAD6c9AaXLl4wm+7g/r0Me6YPLwwdyL07twnu2bdEcbMtXrSA4UMH896kt7h48R+Tabp378G1q1eIi4sjIyODA/v3EdS0WYniDu3Vhd3HTpORmUn0o3iOX7hMy0b5bye6fPMuVSp488XvC+n+8tuMmvw1566W7CIjPK5rX3jljQLT3bxxBQcHRz55dzxjRvTh+8/fJzY6ssSx/142j5GFxAY4e+ooo4f24N3XRrBr2/oSxYXs8u42iYlJvDhmPMNeHM2MWXMKrWuOHD2Os5MzDQqYEvs0xAf4a9F8RgwdxPuT3jT7nbtx/RqOjo68P2kiI4cN5svPPiYmOqrEsYvTxlv05y8MfWE8amvrEseF/426ZuGsH3h5cHvef+05XFw9aBTU2mQ6mccVvSzLPIqNJi01xeK4xannr9+4gbeXFx99+hmDh43g3Q8/4u69exbHfupIitL7+ZeVVUQ/IAn4Bfg56yc51+8mSZI0VpKkM5IknVmXa3qbKauXzqFjt764e3gVeafWLp+HbJDp0LXg6XqFSUhIQKfTceTIUX768Qf++H0Gt2/fZsXK/PeUhITc5Oq1q/Tv169EMXNbvXQOnbr1KVLe23TszoK/9/DLn6vo2nMAzi5upbIPL47/gD9XHmDKt3MIatUxz/1F2VxcPagZ2JAPXnuWMc+249TRvQwf/XapxI+MjuHC1WtFHsHdXoxOclHj/3PlKsGdOxQp/bbd+7hx6zZDBlp+Hjw+747w048/8sfvv5s978qSMe/X6NG5vdk0DevWZtH079m4eDZfvv8Wew4fZ+X6LSWKu2LJfLp0713oed+4SXPWr15GeloaEQ8fsG/3thJfHMg+9oePHuPnH75j1ozfuHX7DstX/p0vbf16dZkzcwZ/L1vCp1M+5MDBw/y9dl2pxp854zdu377D8pX576ENuXmTK1ev0b9f6XR6AEa+NI5Z81cw7681dO/Rh2+++IjIf3E0ER5/53oU8J27fvM2l6/fYFCfHqUePyo6mouXr9K9c0ezadIzMrC3s8t5bW9v/D09Pd3iuC+OGsufC5axYMnfdO/Zh68/n2J2JLdDpy6sWLuFmXP/IrhXX1xcSt4YHTVqNPMWLGbxkuX06NmLLz//lIiI/KOuFSpWxMPTkxdHDuO5wQMICwtl2PCSjbo3CqzJnbCHdHnxTfqN/4Da1arQoVmjfOmi4+I5+c9VgurVYtucHxnepxvv/zCThBJecPh7yVw6dS+8rn0UG83BfTt4ceyb/LFwLV4+Ffjtx8//ldit2nXm51nLmLtsK2Pe+JB1KxZy9ODuEsWOT0hEp9Nx6Ogxfvn+G2ZPn8atO3dYtmp1ge/btXdfgReGnpb4L44aw5wFS1i0ZCXBPXvz1eefmDzn42Jj2Ld3F2PGvcb8xcvx9vHhx++/KVFsKHob7/TxgxgMBpq1Klo7pCjKu64BGPXq+8xbtZ9PvvuTZmbalw2atGLnplUkJcaTEB/Hri3GujgzM8PiuMWp52Ni4zhw6DAD+vVlxV+LaN6sKVO/+BqtVmtxfOHfUVYd36bAWWAKkCjL8gEgXZblg7IsHzT3JlmW58iy3FSW5aaDhuRfrCjbvTshXL5wml79hxZ5h3ZuWc3hfdt5b+rPuaZRWCZ70Zp+/fri7uaGs7MzgwYO5PTpM3nSGQwGfp85k/HjxpXKYlZgzPulC2eKlXcA3wqV8KtclQWzfiqV/QBQKJXUrNOI+Nho9m1fm+//G1bN4+7Nq0ybv5l5aw4zYOgYvvv4tRIVTNl2HjxC/dq1qOBdeOc/KiaWC1eu0qNj6U1z3r3/EPUCa+Pr411o2iMnTjHvr+V8P/UjnJ2cLI6Zfd717dcPt6zzbuDAgZw+fdribVpi54Ej1A8s+NhX8PGmgrcXCoWC6v6VeWnIQA4cO2lxzLu3b3Lxwln6DCj8fsWXx09EbW3NhDEj+O7LKbTt0AV3D0+LYwOo1car6f379s76zjvxzMABnDpzJl9aX18ffH18UCgUVPX3Z8SwIRw+cqyU4vfJVeb05/SZs3nSGQwGZsycxavjxpRamQNQs3YdbO3ssLJS06lrD2oH1uPsacs/T0vsOnCY+oG18TVz3hkMBqb9uYA3XnmxRItZmVOU77ytjQ1paY/vs0tNM3Z4bW1tLY5bs3ZgzrHv3DWYwDqFH/sKFf2oXMWfP2f+anHcbLVqB2KXFb9L1+4E1qnLmdOn8qWbNXMGWq2WFavWsHb9Jlq1bsPUT6ZYHNdgMPD2N7/RsUVj9i+Zwc75v5Ccmsbvy/LXNdZqK3w93enXuS0qlYpubZrj7e7KxRu3LY5/785NLv1zht79hxSa1kptTbNW7alRMxC12prBw0YRcu2SxaNP9+6EcPmf00WK7Ve5Km7unv/H3lmHR3G1ffie1WTjrkAguLu7U6BQL9TdqbfUS6lQefvWqZe6ULyF4u7uGiwQ4r6b9fn+2JBks5vdGNnyfue+rlzZmTlzfnNmjj1HUSiVtGrTgTFXXsfWjatrpXsRrdZR1kyskN9dO/FKtlXKbyqSmZnFvgMH62WYsa/1K8f51m3buU1zGq2W3n3606JlazQaDTdOvoUjhw+ir0OvY3XreEZjCb989ym33Vc/nQkX8XVZcxGFUkmrtp3JzclkpZv65YTrbiepWUteePQWpj1zN916DUSpUtWpc6cm5bxWo6F927b07N4NtVrNdVdfRWFREWdT6z6d8LJAkurvr4G5JItbybJsB/4rSdLs0v8Z9al1eP8usjMv8MidEwFHBmC32zh/9hRvfujaU7xm+SIW/fkjL82YWaMe4qoICgoiMjLSuVXRzbczGAwcP36ct2bMAMBuswNw86238sJzz3lcAboqDu3fTXbmBR6+07FA0sWwP3f2dt76cJbHe202GxmXoJfGZrO5neN79tQxeg0YQXiko6I4YNg4fvnmfdLOnqRpi7qt7vvP6g3cfHX1WhmXrtlAh9YtiY+t+7e/yLLVa5l0zUSv7rbt3M17n3zOWy8/R7Okus39cRfv6qsHuyYsXbOem66uYc+1JFUYlFRzDu7fQ1ZGOvff7lgl9WK8T51ymvc++trJbVBQMI89/VLZ8c/ff0nzlnUb4h4UFOj67qt5r+OeuoS+XB8nfdcncOQ5J3hzxjuAo3ICcNOtt/PCc1M9rspZE+ojTDVl6ep1TL7GdXXPi+gNJRw9cZJp734IgK007Nfd+SCvPvMYnaqYi19dlq1awyQvC9MlNW5EyqnTDB7gmPpx8tRpwkJDCQkOqpN2RSSkar16m81GupteqrrrO4YVVubkyRRuvfUOgoIcjXvjr5zIzz/9QEFBASEhNR92XlisJz07l+tGD0GjVqNRqxk3uC9f/L6AR26+1slt8yaJbNhZae2OOuaNB/fvJisjnQfvuAYoz3POPXqatz90XtW6SdPmTqmxrvnyoVLth+642kV7xoffeb5Zktx+n5oQFBhIVGSEcx7jJUzLV6+hXZvWxMXG1kn736BfGQkJd680KakZzo9Y9/K4unW89LRUsjIvMO1Zx8JeVqsFg0HP/beMY/p7XxEVU7t1Fv5tZY3NZiPDTf1So/Xjtvuf5rb7nwZg1T/zaJrsmJdbW2pSzjdtmsTBQ4drrXXZU4f37Gsu6arOsiyfA66TJGksjqHP9cLQURPpU2FV5r/n/kxWZjp3Pvi0i9sNa5by+w+f8+Kbn9bL8v4XGTliOAsWLqJ7t24olUrmzV9Az57OqwsHBATw84/la3plZWfz6GOP8/GHH9aqIgAwbNQE+g4cXnb819xfyMq8wF1uwr5q6UK69epPSGg4586eYsHsH+nU1f0KyNWlMD+XQ/t20LlHfzQaLQf3bmPL+mU88OTrLm6btmjLto0r6TVgBEHBYWxe+w9Wq5XouEZ1eob9R46RnZvHEA8rClfknzUbuOmqug1vr8iBw0fJzsllcBUru15k1979vPH+R7z23NO0admiXrRHjBjBwoULK8S7+fTq6fpNZVnGYrFgKV1J3Gw2gyTVaVsVKH33Od7f/Zade2iZ3JTw0BDOnDvPD3/MY3Df6n0vd4wYPZ5+A4eWHS+c+zuZmenc+9ATLm7TL5wnICAQXUAge3dvZ/k/f/HajA9rrX2RUcOHsWDRX3Tv1hWVUsXcBQvp1dN1DuO2HTtpkdyMsLAwzqae4+fffmdgf9c58DVl5PBhLFy0iB7duqJUqpi7YIGLfkBAAL/8UN74l5WdxZTHn+STDz8gJKR2ow30xUUcO3qYdh06oVQq2bBuNYcO7OOu+1znHtrtdqxWCzabDVkGs9mEJClQ1zHeOdJcHkP6Vr1GQGCAjjnfzSw7zszO4f6nXuDL998itA4jLQAOHj5CTk4ug/q5n2t2kRFDB/POB58wbPBAIsPD+emPPxk1bHCtdYuLizle6d0fPLCPu+5znee+/J+/6dG7L6GhYaSePc2cP36hS9e6zbEtLi7m6NEjdOjQEaVSybp1azhwYD/33vegi9uWLVqxauUKOnTshFarZfHfiwiPiKh1WRcaHER8dCRzl61l8viRlBhNLF67meZu1kkY1LMLH//4J3+v2cTogb1Zu203WTl5dGxV+63zho+6kn4Dy1ePXjT3V7Iy0rn7oSdd3A4efgXvv/kCY668jsTGTZnz2yxat+2ILiCwVtqVy3mH9gXufugpF7c7tqyndftOBAQEkXLsMP8snM2Nt91XK92KjBw+jPl//U33bl1QqVTMnb+Q3j2qXmRrxarV3HBN/Wzj40v94uJijh09TPvSNLd+3RoOHtjPPW7S3LARo5jx5jTGX3kVjZsk8fuvP9G2XXsCavndofp1vEZNmvHJd/PLjo8d3s93X7zPWx98R3BwaK31wXdlTUFp/bJLaf3ywN7tbFm3jAefct2ZIjcnEwmJ0PBIUo4eYP4f33LPI7UfYXKR6pbzw4YMZs68+ezavYdOHTswf+FfhAQH07hR7ddxETQMDbKdkSzLfwN/15d/Wj8/tH5+5cf+OtQaDcEhYRw5uIe3X32C72avAmD2j19QXFTAi0+Ur6jcf/Ao7nro2To9w+RJkygsLOSue+5Fo1EzYMAAJt14A5mZmdx7/wN8+flMoqOjCQ8vH3ZhLh37HxYWVuuhIZXD7ufv7xT2Ga8+yazZKwE4dngfv//0BaaSEoJCQundbyjX3XxPHUINSBKr/pnD95/PwG6XiYyO5aa7n6Brr4HkZKXz3MM38NYnvxMRFcvYq2+lKD+Plx67GZPRSExcIo9Mfbtspena8s/q9Qzs3R1dpeGDGVnZ3DLlGX786B1iohwrHR84cpysnNxqG8nVYemqNQzo0xOdrrJ+Frc/9DizPv0vMVFR/PjHHIr1Bqa+Vj7np2PbNrz9au0z54vx7u577kGj0TBgwABuvPFGMjMzue/++/ni88+Jjo4mMzOT2+8o309uwsSJREdH8/2sWbXWBsfiQgN793D77m995Gl++PhdYqIi2bnvIG999DklRhNhocGMHNSfW66turfOG+7ivUatISQklEMH9vLGK8/y85x/AEg5cZTvvvwEvb6Y+PhGPPrUizRuUvfVFm+adAMFhYXcee8DaNRqBg7oz+QbriczM4u7H3iIr2d+SnR0FHv27OW9/35ASYmRsNBQhg0ZzKTr676lzE2TbqSwsJA7772/TH/SDdeTmZnJPQ88xFczPy3Nc8rndZotZgDCwkJrnedYbTZ++fEbzp87i0KhICGxMc++9DrxCY04dGAfr7/yDL+UvvtDB/by8nPlQ+9uvGoU7Tp0YnodGx7+Wb2OAX16uElz2dz28JN8/8l/iImKJCIstOya2Vwa9tCQOg99XrpyDf379HLVz8zizoce49tPPyAmOoqe3bpwwzUTePKFVzCbzAzo25vbbqrZtJSK2GxWfv7hW86VvvvExMY899JrJCQ24uCBfUx/eSq/zXWsWH740AF++uFbjCUlBIeE0G/AICbfUredBGw2Kz/9MItz51JL9Rvx4kuvkpCYyIED+3n15Rf4c65jvco7776XLz7/lHvvvh2r1UqTJkl12soIYMZTD/DfWb/z44KlKBQS3du15tHbHKM+htzyCP99fgqd27QgJDCAd595iHe//pn3vvmVJgmxvPPMQ4TWoafdJc/xKy9rDx/Yy1uvPsUPfzrm0rbv1I0bb7uPGa8+jdlkpFXbjjzydO3D7k5bU6a9hxmvPsX3f64AYNO6FXz+4ZtYLBYiIqO48tqbGTSsblu3Adx84/UUFhZyx30PolFrGDSgH5NvuI7MzCzuevARvvnsY6KjHVNIDh0+QnZ2Tr008Pla3xHnv+N8aZxPSGzE8y9NIyExkYMH9jPt5ef4Y65jvYpOnbtwy2138tqrL2AymWjbtj1PPvN8nfSrW8dTKlWEhpWvNhwYFIxCkpzO1RZflTWSJLFyyVy+m/k2drudyOg4br77cbr1Gkh2VjrPPnQjb3/6G5FRsWReOM/nH0yjMD+X8KgYbrj1ITp0qfviqdUt5xslJvLsk0/w0aefkZ9fQPPmyUx7+cU6N/JeNlzG2xlJdR0Sc6nYeSzXpw8WrvS8L++lJM9Wf6vj1Qaz3bfbOzezH/eZtlVZt/nfdcWoCvCZdoA532faAFnq+huRURuCKPCZtlztgdOXBj31NxS3NkRY67YCbl2wKnxbUSlS+i6/V1G/e8vXlMji0z7VP6Or25SbuuDrNB9B/e03e7lRoqh9j2x9oLfpvDu6RIQrcnymDZBlq78pZ7UhWln3VbdrS5PmrXyb6OsR4/yP6s1G85s4pUHfy+VrsgsEAoFAIBAIBAKBQFANfNu1JxAIBAKBQCAQCASCy4PLeKizMHwFAoFAIBAIBAKBQOAdH+woUl8Iw1cgEAgEAoFAIBAIBN65jLczunyfXCAQCAQCgUAgEAgEgmogenwFAoFAIBAIBAKBQOAdMdRZIBAIBAKBQCAQCAT/01zGi1tdvk8uEAgEAoFAIBAIBAJBNRA9vgKBQCAQCAQCgUAg8M5lvLiVMHwFAoFAIBAIBAKBQOAdMce3/mlZsMWn+rJC6TPtCJ8pO1AZCn2qL1mMvtPOuuAzbQCCQn0mLedm+0wbICQw0Kf6cnCY78QVvs2KJYvJp/rIsu+0rRbfaQORvhRXa3ypDnabT+Vb2476Trwgz3fagBzX2GfaVl2wz7QBwn0c75SGAp9pm3du85k2wPIuH/tUf0L8CZ/q/88g5vgKBAKBQCAQCAQCgUDw7+Rf2+MrEAgEAoFAIBAIBIJ/EWKos0AgEAgEAoFAIBAI/qe5jBe3unyfXCAQCAQCgUAgEAgEgmogenwFAoFAIBAIBAKBQOAVWQx1FggEAoFAIBAIBALB/zRiVWeBQCAQCAQCgUAgEAj+nYgeX4FAIBAIBAKBQCAQeOcy7vEVhq9AIBAIBAKBQCAQCLwi5vj6gFPnM3j7+z85fOocYUGBPDppPEN6dPR4zwNvfsb2Q8fZ8v17qJTKOuqn8853szl8KpWw4ECmTJ7AkB6dXNydSE3jw5/mc/hUKgXFerb/8lGddH2h/duqLSzcuIsT5zMY3bMjr915Tdm1rYdTmPHzItJzC2jfNJFpd15NfESYW3/uefcbTpzPwGK1ER8ZxgMThjGkSxvv+mu2s3DzPo6nZTK6ezum33Zluf6RU7z12z+l+gm8dut44iNC3fqzJyWVd2cv51R6NgmRoTx/42i6NG/sUfvXrYdYuPs4xzNyGdMhmelXDwRgX2omn67cyaEL2SglBd2bxvLsFX2ICtK59ed8XhFv/rWJvamZaFRKhrdN4pkxvVEpPbea/bp+Nwu3HeT4hWzGdG3N9MmjAbBYbUz98W8OpWaQllfI1w9dT4/mjTz6tWTXEb5YupkL+YVEBgUwfdJouiYnVun+t+2HWbg3heOZeYxu15TpE/oDkJKVz0sLNpCaVwRA27gInhnVk+SoUBc/zFYbby7ZwtZTFygoMZEYFsSUoV3p37xq3bKwb9rHwh1HOJ6ew5jOLZl+/TAA9p1J59NlWzl0PgulQqJ7swSevXIAUcEBbvXfmLeWrSdSKTCYaBQRzJTRfejfuolXfV/Gu99Wb2Xhpj0O7R7tmX77VeXah0/y1q9/l6W5126fWKU2wM8rt/Dzyi3kFumJCw/hgwdvpElMpEf9X9fuYOGW/Ry/kMWYbm2Zfss4oDTezVrAobPppOUW8PWUyfRoWfW7rMofz9o7Wbi19J6ubZy1v1/IobMXSMst5Ospk+jRwr222WLljT+WsfXoaQoMRhpFhjJl/CD6t0v2ru/DNOdrfV9+d4Bf1+1yfPu0bMZ0a8P0m68o1/9+EYdS0x3f/pEb6dHCcxoCOJOZy7UzvmN451a8davnZ/D5d996iIV7jnM8M48x7Zsx/SpHWZOSmceL89Y55bfPjulNcrT7crbAYOKVhevZnJJGmE7LlGHduaKj93jv6zynMo463hwOnz5HWFCAo47X3bWOt2jdNqZ//Ttajbrs3H+fvJvubZrXSM9JOy2DGT/M4/Dp8w7tG8YytHsHF3dvzprD4k27yo6tNhtqlYr1X7xeIz1fljWaLgNRt++FMjIOy5FdlCz5CQApOJzg+6Yhm01lbk3blmPavNTFD0kXiN/Qa1E1ao6k1mDLvoBx9VxsF87U6D1UZMeqWWxb9hVWSwktO49i+I3TUKk1bt1azCWsmfs2x3YtwWazEp3Qmhuf+LnGmiMn3el0bDKbmTh6BI/fc5tb92npmXzw9ffsOXgEjVrFFcMG8eBtk2use1kienwbFqvNxpP//Yarh/bl06kPsOtwCo+//zU/J8bSJC7a7T1LNu7EarPVm/5T//mKq4f145PnH2LX4RM88d6X/PRmnIu+SqlkeO8uXDuiP0+9//VlqR0VEsQ94waz6cAJTBZL2fm8Ij1PffYLL992FQM7teKz+SuZ+sXv/PD8/W79efrGsTSLj0KlVLL/ZCr3/+c75r/xOFGhQV717x7Tn82HUjBarOX6xQae/OJPXr55LIM6tuTThWt49ut5/PjsHS5+FOhLeHTmH7wwaQzDurTmn+0HmfLZH/w9/SGCA/yr1g7Scc+gTmw6cR6TpTz+FJaYuKZ7a/7TPAGlQsFbf2/i5XnrmHnraLf+vPnXJsID/Fn59CSKjGbu+/4fft9+mJt6t/MS9kDuGdmLTUfOYKoQdoAuzRK4aVBXnp71l0c/ADYfPc2Hf63jnVvH0b5xHFmFxV7viQrUcXf/jmw+eR5jhbBHBel499rBxIcEYJdlft9xlKlz1zH7vitd/LDZ7cQEB/D1raOJCwlgw/FzPDNnLbPvm0BCaKBn/eAA7hnWnU3Hzrq++17t+E/LxigVEm8tWMfLs1cx867xLn5Y7XZiQwP55r6riAsNYv3RMzz981L+fPxGEsKDPev7Mt6FBHH32IFsPpiCsWKaK9bz5Oe/8/KtVzq0F6zm2a9m8+PUe9z6M3fDTuZv3MXHD0+mWVwU57LzCNb5eQz3Rf17Rvdj0+GTrvEuOZGbhvTg6W/m1cmfqu8J5J5Rfdl05BQms8XpWpdmidw0uDtPfzvfox9Wu53YsCC+eXQycWEhrD+UwtPfLeDP5+4kwUOFvUzfR2nO1/q+/O6O+0q//eFTbsJe+u2/W1Bt/96cvYJ2jeOqr+3L7x6k456BndmUct5JPypIx3vXDyU+NBC7LPPbtsM8++ca/nzwKrf+vLl4E2qlktVPTeJIeg6P/LKclrHhNK/CUC7T8XGeUxGrzcaTH3zL1UP78OnU+0vreN/w8+vu63gdWiTxzUuP1EjDk/YTH8zimqG9+eyZe9l55CSP//dbkhNjaRIb5eT2+duv4fnbyzsCXvnqNxS1MAh8WdbYiwswbV6KqmlrJJWrYVn40TMg2z0HQK3Fln4G4+q5yIYi1B36oLv6foq+fAUs5uq/iFJOHVrPtmVfcv2U7wkMjWb+lw+z6e+PGDjxKbful/3yEna7jTteWoJfQAiZ5w7XWBNg2a/flv02lBiZeOeDDOnb061bi8XK46++xVVjRjDtqUdQKBSkpqXXSlfQsFyWJvvptEyy8gq4acwglAoFPdq1oFOLJBZv2OHWfbGhhK/mLWXKJNeKce30M8jKK2DyFUNK9VvSqWVTFq/f7uI2KT6GCUP60CyxeoXvv1F7WLd2DOnSltBA58xz1a5DNIuPZkT39mjVau6/cijHUtM5dSHLrT8tG8WW9bRLSFhtdjJyC7zrd2nN0M6tCKmUea/cfYRm8VGM7NYWrVrFA+MGcux8BqfSs1382HvyHBHBAYzs1halQsHYXh0IC9Kxcs8Rj9rD2yYxtE0Sof5ap/P9WzZiZPumBPpp8NeomNSrLXvOZlbpz/m8Ika2b4pWrSIySEe/FomkZOZ5Dfvwji0Y2qEFoQHOFQe1SsnNg7rRtVkiCoX3IScz/9nEvSP70DEpHoVCIiY0iBgvDQ7D2jRhaOvGhFQKe7CfhoTQQCRJQgYUkkRqbqFbP/w1ah4Y1JmE0EAUksTAlo1ICA3i8IUcr888vH0yQ9s1I7RSpal/6yaM7Ni89N2rmdS3I3tOX3Drh06j5oERPUkID0ahkBjUJomE8GAOn3cfR53C78N4N6xrW4Z2buOqvetwqXY7tGo1D4wfzLFzGZxKdw2P3W7ni7/W8tR1o0mOj0aSJBpFhRMS4H5UQkWGd27F0E4tCa2kr1YpuXlIT7omN0JRjQ3sq/Kn9to9qqWt02p44IoBJESEOr57++YkRIRwONV7xcSXac7X+r787gDDO7VkaMcWVeh3p2tyIopqDrFbsvMwwf5aerX03jMM/4Lv3jaJoW2auJQ1wf5aEsKCHPmtDEpF1fmtwWxhxaEzPDSkKzqtmq5NYhnUqjF/7T3hVd/XeU5Fyup4oyvU8VomsXjjzhr5UxtOX8giK7+Qm0YNRKlQ0LNtczq1SOJvL9olJjOrdhxgXP9uNdb0ZVljPb4X64l9yCX6Gj/3ReSCHMw7ViPrC0GWsezbhKRUogiPqZV/B7fOp0Ofa4mMb4GfLoQ+ox/kwBb3DW456Smk7F/FyEnT0QWFo1AoiW3cvtZhucjazdsIDQmmU9vWbq8vWb2OyPAwbpxwBf5+fmg1GponVS+v+Z9Akurvz6uU9K0kSZmSJB2ocC5ckqTlkiQdL/3vuWWvAg3S4ytJUn+gJ3BAluVll0JDBlLOua/UfPrH31wzrC8RIZ57eOqkL8PJc+4r35caX2mnpGXSsoJR7a/VkBgVTkpaJk3jotzeM+WjH9l6KAWz1Urfdi1omxRfe/0LWbRKKG/99ddqSIwMIyUti6axboZVyZUOZZkTad4NoOqw83Q6ydGhVV6/qU97/tl/ku5JcRQaTWw4nspDQ2teQNYGm93OwdQMBrVLZtwb32CyWBnSoTlPjB+IX4XhYTWl/zu/UGK2YpdlHhzcuVr35BSXcCanwO2w6Nqy82QayTHh1dMvMnAmO7/a7t3hy3iXciGLVomxztpRF7Wd01xGfiEZeYWcSMvk5e/no1QoGNe7E/ePG1Qt4+V/iZxCPWcyc0mOdZ8v1TeXKs1dLvq+prjExGeLN/D1wzcyd/PeBtO9lO+9/1s/YTBbHPntkK5u3ZzJKUSlkEiKDCk71yomnB1nat8T9W/Jc2QZUqqo5xw9fZ5hD7xESKCOK/p14/bxw+o8na0yVdUvL7Jy+z7CggLo2qpZ/Wn+C+o4QfdNA2Ssp49iXDu/WgayIjoBlCrsebXTzrlwnOYdh5UdRyW2wlCUTUlxHv6BzvZN+pn9BIcnsOnvjzi0bQEBIdH0veJhWnYZVSvti/yzej2jBw9AqsIwO3j0BLHRkTz12tscOXGSpo0b8dg9t5Lc5P+J8duwdYhZwCfADxXOTQVWyrI8Q5KkqaXHz1bHs0vy5JIkbavw+x4cDxwEvFL6gHUiKS6a8OBAfvh7FVarjS37j7DrcApGs+uQikMnz7L32CluGDmgrrIV9GMICw7ix79WOvT3HWbX4RMYTTUf0nE5aVfGYDIRWKl1OtDfD4PRVMUd8NGUW9jwyUt8/Oit9G7XvE6FYYnJTKC/c+t8oL8WvZt30bFpApkFRSzZfgCLzcbCzXs5l52HsdJQytpwLD2XL9bu5omR7ofEAHRLiiUlM49+b/7AyPd+o118FEPbeJ9nWh/kFBmw2uys2Huc7x6+gT+euoWj5zL5avnWOvm74ZnJbHhmElPH9KJVbIRX9xabnefnr2d8p+Y0rVAxqwvHLmTzxcrtPDG2bzX0bTz323LGd21FUy/D/jzhy3jn0HZNc3o3aS4jz9ErtPlQCrNffoCvnriNf7bvZ97G3bXSvlyx2Gw89/1CxvfqQNNqxNP64FKluctF39d8ungDV/XuSEyY957W+uRSvvcNz93Mhudu5rkr+tA6zn08LjFbCNA6D1cN9NNgMNW+nPNFnlNex1tdWsc7yq4jKW7zzS6tk/n9radZ/uk03plyG0s37+bHv1fXSK8iTWKjHNqL12Cx2ti8/yg7j5z0mmf/tXEnY/t1q9JQqg2+LGvkkmKKf3iHoi9eofiHd5E0WvzHup/r6oTGD90Vt2LatATMxlppm00GtH7lU6G0/kGl512N7qK8dLLTjqHxD+L+N9cz7PqXWPLDVHLSU2qlDZCemcWeQ4cZPaRquyErJ4eVG7Zw7dhRzPvmU/p068xzb72PpQZTOwTVQ5bldUBupdMTgO9Lf38PTKyuf5fKZK/YtHkvMEKW5WnASOCmqm6SJOleSZJ2SJK047t5S6r0XKVS8t7jd7Fxz2FGPfwyPy1ew4henYkOD3VyZ7fbmTFrDk/eclW9tv6pVEree/JuNuw+yOgHX+Dnv1czvHcXor3MHbvctSuj02pdCj+90YTOT1vFHQ7UKiX9O7Rky8ETrNlTu7kY4Gj9LHajX7ngBwgN1PHB/dfz48qtDHvmv2w6lEKv1k2JCavbKICzOYU8+ONSnhnTm65JsW7d2O0yD/7wD8PaJrHlxdtYO/UmCo0mPljmOjz9UuCndgzsmDSgC1EhgYQF6rhlcDfWHz5ZZ7/9NWqu69aKlxZsIFdfUqU7uyzz4vz1qJQKpo7uVWddgLPZ+Tz47V88c+UAujb1PHLAbpd54bcVqJUKnps4sE66vox3brVLTAS4SXN+akc2fPuofgTr/EmIDOPagd3ZcOB4rbQvR+x2mRd++Au1Sslz141oMN1LmeYuB31fcuRcBluOnuaWId0bXPtSv3edRs113Vvz4rx15BS75rf+GrWLUVRsMqPT1r632Rd5jkql5L3H7mTjnkOMeuQVflqyhhG9OhEd5tpgmhgdQUJ0BAqFguaN4rl74khWbt9XI72KqFVK/jPlNjbsPcKoKa/x0z/rGNGzIzHhVTfWXsjJY+fhFMb2q99RXD6t41jM2DJSQbYjG4ooWTkbddM2oPZQv1OpCbj6XmxppzFtXV5tqUPbFvLh41348PEu/Pnp3Wi0OkzG8rnx5hLHb43WdQFLlcYPhVJNn9EPoFRpaNSiJ41a9uL04Q3VD2sllq7dQIfWrYiPcb9mEIBWo6Fjm5b07tYZtVrFpIljKSwq5sy587XWvZyQJane/irafqV/91bjEWJkWb44BCQdqPa4+ks11FlROt5aAUiyLGcByLKslySpyuYQWZa/BL4EKNq+WK7KHUCLxvF8+eLDZcd3TvuQsf17OLnRl5g4fCqV5z9x9I7b7I4J+mOnTGPGI7fRpbX3lQ6r1k/gy5cfLdd/5X3GDayfCv2/WbsiyfHRLNpU3pJbYjJzLiuX5PiqM4uKWO02zmVWbsSpgX5cFIu2lBdwDv08kuPdD2fs3rIJv0y9y6FtszPupU+4dXjvWuun5Rdx3/dLuHdwZ8Z3blGlu4ISExcK9NzYqy0alRKNSsmELi34ZOVOHh9VdS9xfRGs8yMmNNB5KkU9tkrbZRmjxUpmoYFwN3P6ZFnm1UUbydEb+WTSMNReVrKuDml5hdz39ULuHdad8V1beXQryzKv/LmKnOISPr1zHOo6NoL5Mt45tMuHbpanOVftJrERqFVKnD57rVQvT2RZ5pVfFpNTpOfT+6+r83evCZc6zf3b9X3JjuOppOUWMuqVzwEwmMzYZZkb3pnF78/cfkm1G+K9l+W3RQYiKq270SQiGKtd5kxOAU0iHIbasfTcOk0t8VWe41rH+4ixA7w3ZkiSI+3XhRaN4/nq+QfKju+Y/onHubuLN+6iU4skEqPrd0SJr+s4Tlx8pVXFZ6UK3cR7sBflU7Lstxp53bbnlbTtWb445l/fPUnW+aO07uZY1T3r/BF0QZEuw5wBouJdy/+6Jrl/Vm/g5qs9rwmUnNSY/YeP1U3ocqYeV3WuaPvV8n5ZkqRqJ/pL1eMbAuwEdgDhkiTFAUiSFEg91b2On03DZLZgNJn58e/VZOcXMn6gsxERqPNjycev8vMbT/HzG0/x4VOORoQfpz9B++Z1G2Z6/Oz5cv2/VpKTX8i4ga5GjCzLmMwWLFaHvW8yWzBb6ja8tqG1rTYbJosFm13Gbrdjsliw2mwM6dqWlLQMVuw8iMli4ctFq2mRGON2fu+pC1ls2H8Mo9mCxWrj78172HXsDN1aNa2Gvh2TxTGX1KFvxWqzM7RzK1LSslix6zAmi5UvFq+nRUKM+7kvwJHUdCw2G8UlJt6fs4KYsGD6tvXc+HFR2ybL2ORy7YxCPfd8t4Qbe7bl+h6et2QKC/AjISyIP7YdxmqzU1hiYuGeE7SsxjzTMn27jK1C2AHMVmvZ6p8Wqw2TxVplgT+hZ3t+Xb+bnCIDhQYjP63ZyUBvYbfbMVlt2O0ydlnGZLVhtdvZfDKNIxdysNntFJvM/GfZdoL9NDStonL1xuItnMou4KMbh5b1iFSHqsKeUVDMPV8u4MY+Hbi+t/dFLF6ft5ZTmXl8fPsVtdL3TbxzpDmHtlyW5oZ2aUPK+UxW7DqEyWLhi7/WOtKcm7mr/hoNo7q3Y9ayjeiNJjLyCpizficDO7SsdtjdxjtLhXhn8xzvPPnjXduOTZar1rbaPWq//vtSTmXk8PF919ZofqUv05yv9X353Z3vs3vW9xD2a/p14u+X7+GPZ2/jj2dv47r+nRnQthkzH7i+9mFvyO8uy07xfnPKeQ5fzG+NZt5buo1gPw3N3EwX0WnUDGvThM9W78JgtrD7bAZrjp5lXCfvW/v4Os+pjNs63gDXes7GvYfJKXBs9XQ6LYOv5y9nUNe6LW50UbvEZOaHxWsc2pU6Viry98adjK+GUV4VvixrkBSgVDn+S1LZb2VcExRh0YCE5KfDb9i1WM8ecz98WaFAd+WdYLVQsvgnXCYb15B2PSewf9OfZF84gdFQyOZ/ZtK+t/tVzBNbdCc4LI6ty77AbrNyPmUnZ49tJalN/1pp7z9yjOzcPIb089yZNHJQPw4eO8GOvQew2ez8segfQoKCaJKYUCtdQY3JqGBbxgFVry5bCamuLWM1QZIkHY7u6VPe3Hrr8f3wl4XMX7MFq81Gl1bNePrWq2kUG0V6dh7XPTuD2W9PJTbSuXUoLSuXKx+fXq19fGWF5+sf/jyfBas3Y7XZ6Nw6madvu7ZUP5frn36TP959ntjIcNKycpjw6DSne+Miw1n40ase/feltsrgvGLk5wtW8sUi5zkz940fwv0ThrHl0Ane/uUvLuTkO/b3u/Ma4kvf++s/OradePGWCZxMy+SV7+ZyMi0ThUJB45gI7rpiEEO7tnXRlyzOGevMv9byxd/rnfXHDuCBcYPYcvgkM35fyoXcAtonxfPabVeWbVfy+i+LHfqTHa2GU7+Zy4YDjnkffdslM/X6UYRX2vtVynJePGPmql18vsZ5ftL9g7sgSTBz9W78Nc6G1JYXHXNgvl67h11nMvjsVscCC0cu5PDuki0cTc9FqZDo2TSeqWP7uLTYExTqrP/PJj5futlZf1QfHhjdlzGvfUVanvO3WvzS3SSEh/D18q3sOnmOz+5zbLVgsdl4Z95qluw8gkatZGTnVjw+fiDaCoagnOu8UuTMtXv4Yp3zwjD3DexEclQon63ZTUahAT+1knbxkUwZ2rXMkP96wz52n83k08nDScsv5oqP56BRKlBWmM/94tg+jO3gvAiIFOi8vdHM5dv4fIXzcPD7h/dAAmau2O767qff59BftYNdpy7w2V3jScsrZMyMH9GolCgrrMj60tWDGdvFuaVYDnbOLxoy3qFwDsvMRav54q+1ztrjBvHA+CFsOZzCjF8XO7SbJvDabRNJuJjmfl7k0L7J0VpdXGJk+k+LWL//OEE6P67u35V7xw5ymYcmWZyH0838ez2fL3EeKnb/mP48MHYAY17+jLRKq7EvnvYACRGhfL10E7tSUvnswRu8+uNEhXJo5uL1fL5kY6V7+vHAFQMY88pnpFVa0Xbxq/dX0D7HZw9eT1puAWNemVn63cvj3Us3jmZsj0pbiFmdGwMbMs25o0H1K+2L2eDf3e68xeDMxRv4/J9NzveN7ssDV/RnzKufu377V+4jISKEr5dtdnz7B66jMjMXb+Bsdr77fXwrbHHY4N+9wHlV/5mrd/H52j3O+oM6kxwdxqerdpFRqMdPraJ9QiRThnWnZWxpfrtuL7vOpvPZzY6ypsBg4pUF69l8Mo1Qfy2PDne/j68c57wIT0PmOVad9+G3H/66kPlrtlao411Fo5jSOt7Ut5k941liI8P44JeFLN64A4PRTERIIGP6dePuCSNRqaquw0l2z1tbfvDbX8xfu82h3bIpz9wykUYxkVzIyeO6595j9ltPERfhCP++E6d54O0vWfbRywRUmo9bFUqDczpqyLLGvHOb07G27xj8+l3hdM64cTH23Ez8BoxH0gUim41Yz5QubqV3NDL4jXCkdePy31EmNidw0qPIFrNTXq7/cya2885zbf/o8nG13tGOld+xbflXWC1GWnQexYgK+/h+N30svUbdV9ZLnJ12nKW/vEjW+aMEh8czYPzjtOjsfmrLhHj3u79c5N2Z32A0mXjpsQedzmdkZXPLlGf48aN3iIlyNDys3bydmT/8Sl5BAS2bNeWJe2+naeOq9+uObtv9f2bYTfGWhfVmPAb2vtLre5EkKQn4S5bl9qXH7wI5FRa3Cpdl+Znq6DWo4VsTvBm+lxpvhu//MpUN34amsuHboNqVDN8Gp5Lh25BUNnwbmsqGb0NT2fBtUBSXatZJ9ahs+DY4viyHrHVf4O6yRe06V7BB8WKAXHJsPtSvZPg2NJUN34akOobvpcSb4XupqWz4NiSVDd+GprqG76XCm+F7KfmfMny3Lqo/w7fXeI/vRZKkX4HBQCSQAbwCzAf+ABoDZ4DrZVmu1txJ39a2BAKBQCAQCAQCgUBwWSDX4xxfr1qyPKmKS8OqOO+R/1+bOQoEAoFAIBAIBAKB4P8dosdXIBAIBAKBQCAQCATeuYx3CRCGr0AgEAgEAoFAIBAIvNOAQ53rm8v3yQUCgUAgEAgEAoFAIKgGosdXIBAIBAKBQCAQCARekcVQZ4FAIBAIBAKBQCAQ/E9zGQ91FoavQCAQCAQCgUAgEAi8InP59vhevia7QCAQCAQCgUAgEAgE1UD0+AoEAoFAIBAIBAKBwCuyGOpc/5TM/c2n+urAAJ9p20xmn2kDqFsm+1Q/fdUWn2mHt23qM20Aa/Exn2nn3PKyz7QBQr58waf6AY3jfKZt93Ga15/P9Km+0k/jM22FUukzbQBdUqLPtE0ZWT7TBijJzPOpfljXdj7TLjpywmfaAAHFRT7T9nWV2Xg+3af66uBAn2n7Os0N+2mcT/WjZ/3lU/3/GS5jw/fyfXKBQCAQCAQCgUAgEAiqwb+2x1cgEAgEAoFAIBAIBP8exHZGAoFAIBAIBAKBQCD4n+ZynuN7+T65QCAQCAQCgUAgEAgE1UD0+AoEAoFAIBAIBAKBwDtiqLNAIBAIBAKBQCAQCP6XuZyHOgvDVyAQCAQCgUAgEAgEXpG5fHt8L1+TXSAQCAQCgUAgEAgEgmogenwFAoFAIBAIBAKBQOAVMdS5AfDvMxy/rgNQxSZi3LuFoj+/Kr+o1hB4xST8OvQEpRLrhbPkf/mmR/+UETGEP/oGpgPbKfzjC6/62u6D0HTsgzIqHvPBHRj++gEARUg4IQ+/gWw2lrk1bl6GccOSqv3qMQRtz6EodEHYC3Mpnv059tzMKt379RyKtks/VDEJmPZvo3jet05hDxh1Pdp23UGpxJZ+joJv3665Px74bfthFu5N4XhmHqPbNWX6hP4ApGTl89KCDaTmFQHQNi6CZ0b1JDkq1MUPs9XGm0u2sPXUBQpKTCSGBTFlaFf6N0/0qB00dCxB/YeiSUiieOs6sr/9EICA3oOIvPXBcoeSAoVWy/lpj2M+k+LijzoukYib70fbJBlbUSG5s7/DsGuL17BrugxA3a4nysh4LEd2UvLPLw654HCC730F2Wwqc2vatgLTlmVu/ZGCw9GNnowyrgn2wjxKVv6J7ewxr/p+PYeg7dwPZXQCpgPb0M//DgBFaARhj73tFO9KNvxDybq/3PqjapRMwOgbUUbGYcvPRv/3T1jPnvCqX5nnnn2So0cOo1QqAYiIiOTzr75zcffKS89z6OD+smOr1UpCQiKfzPzKxW1V+PcZjn/3AahiG2Hcs4XC2V+WX1RrCBo7Cb+OvRxpPu0seV+8UaVf2k69CRw+EWVoJLaifAr/+BLLac/v//e9J1l0+CwnsosY1SqBaSO6urj5cutRvth6hM8m9qFX42iP/u08l829czdyV4+WPNinjUe36s790bTtiSIyHsvRXRiX/uLiRtN7FH59x6D/87Mq45IyLgm/IVehCI/BXpCLceVsbGmnPGoD6PqNxL/HQNRxjSjZvYmC3yrkkWoNweNvwr9zb1AosaSdIfez6e71wyIJvuZONE1aIFstGPdto3DBD2C3V6nt33sYfl37o4pJxLhvK0VzvnbSDhxzA37tL+b1qeR//ZZbf4Kvuxd1clsktRZ7cQGG9Ysx7ljnNez1ld9K/gEETrgdTfN22A3FGJbPwbR/q1f933YeY+GBU5zIKmB0m8a8NrY3ACnZBbz09xbO5RUD0CY2nGeGdyU5MsStP2kFxby5bCf7zmejUSkZ3qoRTw3rgkpRdYVF220Qmg69HeXcoR0Y/v4RKC3nHnzduZzbshzjxqrLOQBVoxYE3fw4JRuXYFy3yGvYdf1Hous5yBHvdm0i/9fPy65Jag3BV96MX+feSEpHvMv55DX3utHxhFx7J+rEptiLCylc9DPG/Ts8av+2/QgL96VwPDOf0e2SmH5lP6C0nFu4kdTS9942NpxnRvVwW84BPD9/A9tOp1NithIR6MftfdpxdZcWXsNeL/FeqSLoylvRJLdF0gVgy81Cv2w25mP7Xd1WDv+uEyw6eJoT2QWMbt2IaWN6AnAyu5CXlmzjXH5pvIsJ45mhXWgWGezWn5M5hcxYsYsjGXmE6rQ8NqgTQ1sk1Eq7Il9uOsTnmw4y87qB9GoS49aftAI9r/6znQMXcokN1vHssC5Vuq1IVeUs4EjzI69D0647KJTYMs5R+N07bv2R/AMIvPI21MmlaX7lHMz7t3nV92V+r+s7wlHOxjXCuGczBb87l7PB4ybj16kXKBx169yZr7v1J/r1r52OJbUGw6YVFC34waN+8LBxBPUfhiYxieKta8n6+oOyawE9+hN21U2owiKw5maTO+eHquttKhVRtz5EQI9+2M0mChbPoWDpfI/agjogFre69NgL89GvXoCmRQcktcbpWvBVd4BCSc5/pyIbilHFNfHqX9CEW7Gc814BLNMvKsC4YQnqZm1BpXa5nv/ekyBXXZm7iKZzPzSd+lL8+6fYs9NRhEYiGw1etPMpWfsX6ubtXMIeeOWtSAoleR+/iFyiRxnbuFb+eCIqUMfd/Tuy+eR5jBZb+fkgHe9eO5j4kADssszvO44yde46Zt93pYsfNrudmOAAvr51NHEhAWw4fo5n5qxl9n0TSAgNrFLblp9L/qI/8G/f1emZ9VvWot+ytvw99BtK6Pgb3Bq9KBTEPPIChWv+If29l/Fr1Z6YR1/k/KuPYc1I8xh2e3EBpi3LUCW1RnLz3Qs/nlqt764bdyu2tNPo536BqmlbAq68g6JvXkcu0XvWLyrAsO4vNMntQe2qnztjikcjAhyFcdCkR9D/9SPmw7vQdOhF0KRHyP/wOa9xzx33PfAwo0Zf4dHNtOnODU/PPfskHTt1rpGOvTAf/cqFaFq6SfNX34mkVJL9n2cdaT6+6jSvadGeoDE3UPDLJ1hST6IICq2WflSAH3f1aMXms5mYrDaX66n5elacOE9kgNarXxabnffW7ad9TFi1tOXiQkxbl6NKau02v5FCIlC37IS9uKBqT/x0+E+8B+OKP7Ce2Ie6dVd0E++h6JvpYCrxqG8vzKN4xXy0rToiVYp3odfdDQolWW8/hd1QjCohqUp/gq+5E3txARnTHkThryP8vufQ9R2BYcNSD9r56FcvQtOivet3n3i7I6//4HnkkmJUcVXnd/q1f2Gb+y3YrCgj4wi9eyrWtDNY0854Dns95beBY28Cm5Wcdx5HFduI4JsfxZqeii3Lc54TFejPPX3aselUOiartex8dKA/703sR1xwaX676wTPLdzEH3eOcevPm8t2Eq7TsvzhiRQZzTzw+xr+2HWCyd1begh7AcaN/6Bu1sZ9Off+U9XK7wBQKPAfcS3W8zUoZwvyKF42D23rji7vPuT6e5AUCrJmPIndUIy6qninUBB+11PoN60gZ+YbaJLbEn73U2T95zlsWelVakcF6bi7fwc2p1zAWOG9RwXpePeaQc7l3Lz1zL53vFt/7uzXnlfH9UGjUnIqu4C7f1xG69hw2sZFeA57fcR7hQJ7QS55X8/AXpCDpmVHgm98kNyPXsKen+1RPyrQj7t7t2Hz6XSn/C4q0I93r+xDXLAOuwx/7DnB1L+28MftI138sNrtPDF/I9d2SmbmdYPYeS6Lx+Zu4NdbR9AkPKjG2hdJzS9mxbFUIgP8PIbhub+20DE+go+uHsDGUxd4euFmFtw1hjCd5zzaUzkbOP5WUCjI/+Qlr2k+4IrJyDYbue89gSq2EUGTp2BLP+c1zfsyv7cV5lG8cgHaVq7lbMi1d4FCQda7z3gtZzNfvLv8eTVaol7+FOM+7w191vwc8hb9jq59VyRNub4yNILo+54k/cPXKdm/E/9O3Yl5cCpnn7oLe5HrewibeBOqmHjOPnkHypAw4qa+hTntLCX7d3l9BsH/Ly6bvmrTwR2YD+1CNhQ7nVdGxaFp05Wied8i64tAlrGmnfbol7ZjL+wlBiwph6qtbzm6B8uxvdi9GCqekfAfcAUlK/7Enu0ogO352V6ND/PhXZiP7HYxkpSRsWhadaZ44feO9yLL2C5UXamryh9vDGvThKGtGxPi71x4BPtpSAgNRJIkZEAhSaTmFrr1w1+j5oFBnUkIDUQhSQxs2YiE0CAOX8jxqG3YtRnD7q3Yi937e5HAvkMp3rTa7TV1XCLK0HAKly0A2Y7xyD5Mxw8T2HeIRz8BrMf3YT2xv8bvrCKKsCiU0Y0cvSNWC9bje7FlX0DdsrPXe82Hd2E5sgd7SbFXt1WhapSMvbgA86GdIMuY921BNhShaePag3kpyMhI59DBAwwdNqJG95kO7sB0aCd2N2le27YrhXO+KU/z509X6U/AiKspXjkfy9kUkGXshXnYC/O86g9tHs+Q5DhC/dw3Er29Zh9T+rVD7aEH7SI/7T5B78bRJIVX3chTEeuJfVhTqo53/sOuxbR+EdhcK4kXUcUlIesLsR7fC7KM5fBO7CXFqFt09Kpv3L8d04Ed2PVFTueV0fFo23WlYPbXjmuyjNVDA6IqPArjnq1gtWAvKsB0ZB+qWM+jPEyHdmI+7Cavj4xD07oLRfO/QzZczOurzu9smWlgu2jAyICMMtxzrzzUU36r1qBp2w39qvlgNmE9ewLzkb1oO/fxqj+sVSOGtEwk1N853gX5aYgPKc9vlQqprBfSHWn5eka0boxWpSQy0J++zeI4me2h4gxYju3Bcryu5ZwDbc/hWE8dwZZTtbFZGeP+7RgP7MCudw6XKjoev/Zdyf+jPN5V1XCtio5HERKGfu1iR3534iDm08fQdR/gUXtY68YMbdWYkErv3aWcUyhIzS1y7wnQPCoUjcoxIkaSQJKkslFRnqiXeG8xo18132HkyjLmo3ux52VX3UhQgWEtExnSIsGlnHfEu4DS8MsoJKms97cyp3OKyCou4aZuLVAqJHo2jqZzQiR/H/Lc2FSV9kVmrNjFlIEdUSurzmvP5BZxJDOf+/u1w0+tZFjLRJpHhrDy2DkvIa+6nFVExqJu1Qn9oh+qneYNq+eXpXnL0b1oO3lP877M700HdmA6uNMlzZWVs39+W61ytiLaDj2xFxdiOXXUq1vDzs0Ydm3BVqmOpwqPwG7QU7J/JwAle3cgm0yoo+Pc+hPUbyj5C3/DbtBjuXCOorVLCeo/vFrPK6g5Mop6+2toLkmPryRJvYDDsiwXSpLkD0wFugKHgDdlWfZc+tYAdWIz7PnZBAy/Gr8u/bAX5aNfMQ/TQffDmiStHwEjriH/q7fw7zG4vh6DkEfecGQ2pw5TsnKu2wxMCg5FERyOMiqegPG3ItvtmPdvxbjubxwVs5qhSmiKvSAH3ZAJaDv1cQznW73QYeA0IP3f+YUSsxW7LPPg4M7VuienuIQzOQVVDherCaqIKPxatSP7u4+rf5MkoUmouuW2ugTd+woA1jNHMa5d4Pa7KyLisBdkg6V8WLQt6zyKiNg664c99jYyMpaUwxiWz3apNJXhMixFQhntefhZVfww61u+n/UNiQmJ3HLbnXTo2Mmj+1Url9O2XXtiYuoeXgB1o2bY8rIJGHEN/l37YSvMR79iLqYDbtK8JKFOaIrp0C4inn4PSa3GdHAnRX//ClZLrZ9h+fHzaJQK+id5H0Z3odDAwkNn+fnGwby9dl+tNS+iatEJ2WrFeuqwd8duvrsiwn3FoTpoGiVjy8smcNQ16LoPcPQWLJ2Dcf92t+7165bg16UPppRDKPwD0LbuRNE/s2ulrU5s6sjrh12FX+e+jrx+1YIq83qAwCtvwb9LfySNFkvaaczHav/+a5LfKiNiwW7DnpNRds6WkYo6qere1uoy4IM5ZfntAwM6VOluco+WLD18lu6Noykymtl48gIPenBfHUIeet1Rzp0+Qskq9+UcgCI4HG2nPhR+OwPdyOvrpAmgbpyMLTeboDHX4t9tAPbCPIqWzsG4z/swUgAJCVVsozo9Q/93fysv5wZ5zvPeWLKVRXtTMFpttI4NZ0Dz2uW1ULt4fxEpIBhlRCzWjPO11r/IwI/nl8e7fu2qfZ+MTIqXBhdPLD+aikappH8zz/lWSk4hCSEBBGjKe0xbRoWQkuO50dwTqoSm2PNz8B88AW2n3tiLCihZsxDzYddeRGVEjEuat2akom7Sqtb64Lv8Xt24NK8feTX+3fpjK8ynePlcTFXk9RXx794f484NtdK9iOnUCcxpqeg698Swdwe6Lj2RrRbMqa4NXgpdAKqwCKdr5rOnCOjSu07PIKgaWQx1duFb4GLJ8CFgAN4GhgHfAVfXl5AiJBxVbCNMB3aQ/dYU1I2bE3Lbk1gz09wOLwkYcQ3G7Wur1eNTHewGPYXfvoUt/RySLgDdqBsJmHAnxb+5GmGKIMcwR3WzNhR++TqSnz+Bk6ZgL8zDvGdjjbUVIWGoYhIxH9pJ7ntPomqUTMhNj5KfmYYt+0Kdw1ZdNjwzmRKzhYX7UogL8d6jZbHZeX7+esZ3ak7TKuan1YTAvkMxHjuENTvD7XVL+nlsRQWEjL6aguUL8G/dAb9W7Sg54n3eU1XIJcUU//getszzSP4B+A+/Fv8rbsEw53MXt5JGg2wyOt9vMqIIrH3Y7YZi8r+cji09Fck/kICxkwm8+m6KfvrAxa01NQVFUCia9j0xH9qJtkMvFOFRNRrufpHb77ibRo2boFarWLd2DdOnvcSHn3xOXFx8lfesXrmC62+cXGOtqlCEhKOOa4TpwHay3ngEdeMWhN7xJLmZaY5evopuA0OQVCr8OvQg7/PpyDYbobc9TsCwCeiX/lkrfb3ZwqebDvPZVX2r5f7dtft5oHcbdJp6yG7VWrT9x2GYM9OrU9uF0ygCQlC16or1+B7UrbuhCI2o1Xe/iCI0HHVcY4z7tpMx7UE0TVoQdvczWDPOY810zW/NJ4+g6z2M2De+QVIqMWxf676BojraF/P6gzvJfvsx1I2aE3Lr41gzz2PLcp/fFS/8keJFP6Fu3Bx109bIFYaw1ly/+vmtpNW6pHm7sQRJ43moZnVY/9g1lJitLDpwiriQgCrddU2MYu6eFAb8dw42WWZ8+ySGeJlrWRV2g57C72ZgyziH5B+AbtQNBFx5B8W/f+LWvf+I6xzrDVRo7KsLytBw1PGNMe7bRsarD6BJakn4Pc+QnX7OJd5ZMy9gLy4gcOh4itcsRtuiLZrkNphOHKzTM2x4+sbScu6kx/cO8MKYXkwd1YN957LZcSYddemaCLWhNvHecaOSkOvvw7h7Q73UB9Y9MtER7w6eJi7YffibhAcRrvPj++1HualbS3akZrIzNYvuXtY/qAq92cIn6w8w87qBXt0azFYCtZWGKWvVZBV7ntbhCWVwaZo/vIu8/zyFKjGZ4JumUJB1wTXNa/xcy3ljCZK2Dmneh/m98mI5u387mdMfRt2kBWF3PkVOxnmXcrYiitAINM3aUPjH11W6qRayneJNq4i+/2kktQbZaiHjsxlO66pcRPLzB3AaqWIv0SP5+9ftGQRVcjkvbnWpnlwhy/LFGkZ3WZYfk2V5gyzL04BmVd0kSdK9kiTtkCRpxw97vC/8AyBbzMhWK/rVC8Bmw3LqKJaTh9G0aO/iVhXXGE3zdhg2/lObMLnHYsJ24SzIdmR9EYalv6NObgsaN0N2rGYAjJuXI5tKsBfkYtq9HnVz12etDrLFgmy1Ylj7F9hsWE8fw3L6COrm1W+NrS/8NWqu69aKlxZsIFdfdUFjl2VenL8elVLB1NG96kU7sO8QijetqtqBzUbGx2/i36k7jf/7PcGjJqLfvhFbnudh1h6xmLFlpDq+u6GIkhV/om7aBtSu3102m10KP0nj5zYDrzZmE7a0M2C3I+sL0S/+BU3z9m7jnVyip+jXT/DvM4Kwp99H3bwdlpOHa9X406p1G3Q6HWq1hmHDR9KmbTt2bK+61+XgwQPk5eXSr7/3iku1KY33+lUX0/wRLCnu07xcmuYMG5djLypANhRjWL8EbSvPPTae+GLrUa5o3Yj4YJ1Xt+tOpqO3WBnZsvY9PhXR9hmN5fAO5MJcr25lowHDwq/RdhtM0P3TUSW1wXbmGPai/No/QGl+W7xiHthsmE8ewXziEJpWbobTSRJh9zyLcf820p+7g/SX7kXhH0DQuEm1ki7L69csdHz300exnDriiPceb5SxnDmOMiQc/17epzdUrV/9/FY2mVzSvELr57Q4VF3w16i4tktzXvprC7l6Vz/tssxDs9cytGUim564ltVTrqLQaOHDNXtrJ2gxYUs/W5bfGZb94Vjvwk1+o27eAUnjh+Vw/Y08uvjti5aXxruUw5hPHETb2k28s9vI/eZ9tG26EPvaTAIGj6VkzxZs+d7TjDcc5VxLXlq40WM5B6BUKOjSOJqMIgOzd3of8lkVtYr3kkTwdfci26wULfqp1tqV8deouLZzMi8v2eY23qmVCv4zsS8bTl5g5MxF/LjjGCNaNSImsHYGyBcbDzG2bRPivTQ0AOg0KvQm51E8erMVncZ1zmx1kS0WZJvV0Yhjs2E9cwzLqaOOOl5lt2ajazmv9XcxhmuCL/P7i/GueOV8R7w7eQRzyiG0LT2PGvHv1h/LqaPY8rJqpVvmT9tOhF9/B2kznuPU3RO5MOM5ou6YgqZxU9dnNTrSouRXXiYr/HXIJbVv9BD873KpenwPSJJ0hyzL3wF7JUnqLsvyDkmSWgJVji+UZflL4EuAzOdurdbYX2t6qjuP3LpVN2uDMiyKiGf/CziMD0mhICw6gbxPXq6OXDUo1XYzDMCWk4FstTg/X81HOJf7l+E6d6WKoDcIdlnGaLGSWWggPMC1oJNlmVcXbSRHb+STScM8ztepLtrmbVCGhqPfscmjO8u506S//XzZcdzzb1O80YOxXFvcfHd7zgUUIREOo7i0B0QZFY/lSD0uulAW7RRuo5T1zDEKvipd9VihIPTRtzBucr8Cdc2QkD1EulUrltGnb3/867Hl1XrhrJuz7p9BLjFgy89xvl7HNLI9NYuMYiN/7ncMq8orMTF1yQ5u69aC27s7r9667VwWhzPyGfm1o7Gt2GRBoZA4kV3I++Nr3vCjatwSKSgETSfHirOSfyC6cbdh2r4K8/aVLu5t51LQ//K+40BSEHjXS9h2rqmx7kUsNXj3ki4QVXgU+o3LwGZ1NDpsX0fQ6Oso+uvXGmvXJK93i0JRrTm+VVGT/NaWkw4KJYrw6LIV+5Wxjdz2itcWuyxjtNrILC4hvNKiPwUlZtILDdzQrQUalRKNSsmEDk35dP1+HhvSue7ictXlnCqpFaq4xoQ84lh1WNL6g2xHGRWPfo73HRTcYUlzE+88fHrrhbPkfFq+4nPklGkYtntf0bs6OMo5G5lFJW7LucrY7LLHudjeqE28D7rqThSBweR//z7Yq54XWhsc8c7qNt4BtIwK5esbyxuYbv9lFePaeV9w1B3bzmaQWVzC7D2OHQjySkw8u2gzt/doze29Wju5TY4I5nyBHr3ZUjbc+VhWPmNa135KkzXDzbuvIuLZcjJc0rwqNtHrwlae8GV+b73gLt55v8+/W3/0q72v4O4NTeNmGI8exHza8e1Np45jOnkU/7adMZ91Hu5sN+ix5uWgbdyUkoN7HPc3aorZXb4hqBdkLt+hzpeqx/duYJAkSSlAW2CzJEknga9Kr9UchcKx2p1CgVTht+XUUWwFOegGjweFAnWTFqiT22A+7jqMtWTbanLefYq8j14i76OXMG5dhenIHvK/e9e7vqQApcpR0Csu/lagjE9CER4DSI4hYCOvx3L6KLhr5bNaHENN+4wEjRYpKBRtl/5Y3Dyra9hLtaXS3woFltPHsBfk4D/gClAoUJUO57OcOFAjf7xhtdsxWW3Y7TJ2WcZktWG129l8Mo0jF3Kw2e0Um8z8Z9l2gv00NK1i3u4bi7dwKruAj24cip+6mm0uCoVjNWWFEqnsd/kzB/Ybin7nprIWv6pQJyYhqdRIGg3BoyaiDAmnaKNrweHCxe+uUFSIAwqUsU1QhEUDEpKfDr+hV2M9exzc9OjY87KwZZ7Hr+9oUKpQNe/oMHyP7alW+FGpkCQFUoVvpkpoiiIiBiRHvAsYMwnLqSPIVazeqIxt5HiHWj90I6/DXpCHJaVmQ/+Ki4vZtXM7ZrMZm83GmtUrOXhgP9269XDr3mQysWH9WoYNd139s1qUpnNJoQCFVJbmzaeOYsvPIWBIpTRfxZYdJTvWoes7EikgGMlfh27AaExH9niVvxjvbXYZu7083s+8qh9/3DSEXyYN5pdJg4kK8OP5oZ24vqNrS/QDvVsz99ZhZW4HNovlqnZNeGVEF8/iTvFOKot3hj8/Rf/92+h/fBf9j+8i6wsoWf4H5j3r3b/CqASHHxot2kETsBflYTtzxGvYnd69VJ7fmlOOYMvPJnDoBMe7T2qJJrktpqOuc2dlfRHWnEx0fYc70rGfDl33AVU0XLhqo7gY59Vl+Z2tIAfdoHEO7cbNUTdrjfm4a34nBQSh7dALSaN1zOdv3h6/jr0xV2dBw/rIby1mzId3ETB0Iqg1qBo3R9O6M6Y9m73Kl8U72Tm/3XIqnSMZeaX5rYX/rNpNkJ+aphGu28qE6bQkhAQwe/cJrHY7RUYziw6cokWUl+kVFfI413KuNL/zD0A34nosZ465LedK1i2i4ItpFH77FoXfvoXl+H5MezaWbY3kkQrfvuJvc8oRx3zDYY54p2naEk3ztpiOuJ+zrYpr7Ii/ag0Bg8eiCA7FsG2tW7cXKSvnZOf0vvlkGkfSc8vLueU7HOWcm2k6ufoS/jl4CoPZgs1uZ1NKGksOnqJX02qsb1AP8R4gaMJtqKLiKfjxgxqtY1CxnLdVjHenM0rjnUyxycL7q/cSpNW4jXfgMDZNVhslFis/bD9KdnEJV7ZLqpX259cP4o/bR/HrbSP59baRRAX688KIblzfpbmLH03Cg2gZHcqXmw5hstpYdfw8x7MKGNbS82J6QJXlrPXMcewFufj3L03zjZqjTmqN2V3ZWZrmdUMmONJ8o+aoW3XGtNd7mvdpfl8xzVXM608ecZSzQ68szetbOKYMuMnrL6Ju0gJFSFi1595f1JfUjjpe+W8FplPH8WvZtqyHV9O4GX4t22FOPe3Wm+JNqwgdfwMKXQDquESCBo2iaMOK6j+HoEbIkqLe/hoayVNvjZNDSeoLJFGhl1iWZY8bdEmSFAw0Lb3nnCzL7idhuqFyj2/AsKsIGH6Vkxv9innoV85DGZ1A8DV3oYpthC0vm+Jlf5YtOKIbPB51UksKZv3HRSNg2FUoI6Ld7uOrDnQeWuM3YCz+A8c5nStZ9xe2nAz8h0xAoQtCNhuxnDxMyap5yHrHggq6MY5hfYYlpT0cGj8CrrgJdfP2yCYDpt0bMW5Y7OSvzWR2OtYNudKRmVbAsHoBhtULUUbFEzjxdlQxidjyczCsnIv58G4A/AdegbpJSwp//MCrP07vpWWy0/HMtXv4Yp3zELn7BnYiOSqUz9bsJqPQgJ9aSbv4SKYM7UrLmHAAvt6wj91nM/l08nDS8ou54uM5aJQKlBUM1xfH9mFsB+fR7+mryvdpC50wibAJzkMj8xb8Sv6CX5FUahp98D2Zn87AeNg5Mw4Zex1+LduS8d9pAIRddztBA0ciKZUYjx8i5+cvsWa6znsKb+tsvGj7jsavr/N2IcZNS7DnZuI3YBySLhDZZCxd3GqhY9VNwG+4Y0EX44o/gNJ9fMdMRhnbBHtRHiUr3O/jay12XizGf/CV6AY7bw9lWLMQW3Y6umFXoQgIRjaVYDl5CP3yP5FLV0YMGHczAPq/HMPcAq+5B3ULxxAly4mD6Jf84lipsQI5t3ge9VBQkM+rL7/A+XOpKBQKEhMbcdMtt9OlazcOHtjPqy8/z+y55S29a9es4vvvvuGbWT8hVWMhhJAvX3A6Dhh+FYEjnJcDKF4+F/2KeShjHGleHdfYkeaXzsZ0sDTNDxmPpmkr8r99z3GTQknQlTfj17kPstWCad82ihb/5lIpDGjsvAjIF1uO8OU25yGK9/ZsxX29nXsaxn23jJeGdS7bx/fNVY608vxQ1+HUryzfRUygv8s+vvZKaV7bZzTaPqOdzpk2/4Nps/M0jcC7XqZk+W9lcclv2HUAGFc6FpDyv+JWVE0dWtbTRzCumoPsZoVw/XnnfcQDR15D0KhrnM4VLZ1D8bI5qGISCLn+XlRxjvy2aMkfZfN2A4ZNQNO0FXlfO/a5VMU3IXjCLajjm4Bsx3T8IIXzZrms0q6ssHJ2wNCJBAyb6Px8K+ejXzUfZXQ8wVfd6cjr87MpXj4H8yHHyAndoHGOvP7795F0QYRMfghVbGOQJOz52Rg2r8C4w9X4UVSaf1lf+a3kH0DgxDvQJLf1uI+vLsm5Yv75hv18sdG5Yn1fv3YkR4bw2fr9ZBSVoFUpaR8XziODOtEyOhSAbzYfZFdqNp9ePwiAoxl5vLtyF8cy81EqJHo0juHZEd2IqNBLZ8pwHo7o138s/gPGOp0rWf83ttwM/AddWV7OnTpCyeoK5dyo0nJuqWtPvm7sLdiL8t3u41uS6TzdImjUNQSNvtbpXNE/f1K0dA6q2ERCb7gHVWmaL1r8e9nevIHDJ6Bp1prcLx17KgePn4yu9xBQqjCfPELB3FnY3KwBEda1fJj6zLV7+WK9czly34COjnJu7R7ncm5IF1qWbk329Yb97E7N5NNJw8jVG3l6zlqOZuQhyxAXEsCkHq25pqvrPr5FR5z3Ua+PeK8IjSDy6f84huhW6OktWvC9iwEWUDnebTzIl5udG4bu7dOW5MhgZm48SEaRwRHvYsN5eGAHWpY2cH+z5TC7z2XzybWOVbP/u2Yv8/efwmq30yUhimeGdaFxmOe1P6rSvr/SIlpjv/ybl0d1L9ub943ljjz/hRHdAMc+vq8s2c6B9Bxig3RMHd7V7T6+xvPOK41XVc6WrHGk+YArb3Ok+YIcSlbOw3ykNM0PuAJV4xYU/fwhUL53t7pZW+wlxRhWuN/HVx3s/D4aMr83XHDe1ipwxNUEjqxUzi6bS/HyuahiEgi+7m5UcY2w5+VQ9M/s8rx+6JWOvP6b8o6j4GvuRFJrKPjNda2TMv2sfKfjsImTCZvovAZI3vxfyJv/C8HDxhEy8kqUwaHYigopXPU3Bf/Mczx3n8GEjruOcy885Lipmvv4Npv1V5XP1gBcvt2klUg7uq/expfGt+rYoO+lWoavJEk/AsnAHuBibirLsjzlUj1YdYc6XyoqG74NSWXDt6GpbPg2NBUN34amsuHb0FQ2fBsSb4bvpaay4dvQVDZ8G5LKhm9DU9nwbWiUVWwZ1RBUNnwbmsqGb0NS2fBtaCobvg1NRcO3oals+DY0lQ3f/09UNnwbmsqGb0NS2fBtcP1Khm9DIwzf+uH8sf31ZqMltOzQoO+lunN8uwNt5ep2DwsEAoFAIBAIBAKB4H+K/w9zfA8A9bMJp0AgEAgEAoFAIBAIBA2Ixx5fSZIW4VjHLQg4JEnSNqBsDxZZlq+s6l6BQCAQCAQCgUAgEPzvcDnv4+ttqPN7DfIUAoFAIBAIBAKBQCD4V3M5D3X2aPjKsrwWQJKkt2VZfrbiNUmS3gY87w8gEAgEAoFAIBAIBIL/CS7nHt/qPvkIN+fGuDknEAgEAoFAIBAIBALBvwpvc3wfAB4EmkmSVHGDuyBg06V8MIFAIBAIBAKBQCAQ/Hv4nx3qDPwCLAHeAqZWOF8ky3LuJXsqgUAgEAgEAoFAIBD8q7ichzp7m+NbABQAkyRJUgIxpfcESpIUKMvy2QZ4RoFAIBAIBAKBQCAQCGqNtx5fACRJehh4FcgA7KWnZaDjpXksgUAgEAgEAoFAIBD8m/hfHup8kceAVrIs51zCZ3Gi6HyDSbklKMF32hn7U30nDsTa7d4dXUJSt/ku/H5hgT7TBji56qjPtP3WTvKZNsDZ44U+1W93g81n2rkn0n2mDZB3Ot+n+s2GtvKZdnF6ns+0AfTpvivrzmw64zNtgLCkUJ/q20xmn2mbi40+0wY4teqwz7SbDvZdegff1y91USE+09710U6faQN0ur+TT/UF9YMsXb6Gb3UHaafiGPIsEAgEAoFAIBAIBALBZUV1e3xPAmskSfobMF08Kcvy+5fkqQQCgUAgEAgEAoFA8K9Cli/fHt/qGr5nS/80pX8CgUAgEAgEAoFAIPh/hFztAcP/Pqpl+MqyPA1AkqTA0uPiS/lQAoFAIBAIBAKBQCD4d3E5L25VLZNdkqT2kiTtBg4CByVJ2ilJUrtL+2gCgUAgEAgEAoFAIBDUneoOdf4SeEKW5dUAkiQNBr4C+l6axxIIBAKBQCAQCAQCwb+Jy7nHt7qGb8BFoxdAluU1kiQFXKJnEggEAoFAIBAIBALBv4z/D4bvSUmSXgJ+LD2+GcdKzwKBQCAQCAQCgUAgEPyrqe6yXHcCUcDc0r+o0nMCgUAgEAgEAoFAIPh/gIxUb38NTXVXdc4DplziZxEIBAKBQCAQCAQCwb+UhtzHV5Kk00ARYAOssix3r4t/Hg1fSZIWerouy/KVdRGvCcHDxxE0YDjaxCSKtqwl66v/ll0L6Nmf8KtvRhUWgTU3m5zZ32PYtcWtPwE9+xM6aiKaxk0xnTxG2lvPVUvfv89w/LoOQBWbiHHvFor+/Kr8olpD4BWT8OvQE5RKrBfOkv/lmx79U0bEEP7oG5gObKfwjy88uo0YN5HQYaPxS2pKwdpVnPvg7bJrYSOvIOrayajCwjEc2s+5D9/BmptTY3884ddrGH5d+6GKScS0bytFc79xDvvoG9C27+EIe3oqBV/PqLk/VSCp1bR46XlCe/dCFRKMMfUcpz74mLwNGwEI7dWT5i9MRRsXS9H+Axx94RVMFy64+KONjaX7wjlO55Q6HSnvvs/57390cX8RXb+R+PcYiDquESW7N1HwW4VvpdYQPP4m/Dv3BoUSS9oZcj+b7tafmDe/rRQuDYZNyymc973HsCc/P5WQXr1QBwdTcu4cZz7+hPyNmwAI6dmDZlOnoo2NpfjAAY6/8gqmC+lV+gcQ3K0rHb7+itSvvubsZzM9uo2aeA0Ro6/Av2kzclet4Mzbb5Rdi7hiPLGTb0YdHk7x/n2ceectLDnZbv3pvHi507FCoyVrwTxSP/6vW/cAkkZN6zdfJLx/b9ShIZScSeXEjA/JWb0BSa2i/SdvE9yxHf6NEth53R3kbd5RY388UV/fXRkWSfA1d6Jp0gLZasG4bxuFC34Au92jfvgVEwkdNgptk6YUrFtF2kfvlF0LHXEFkddMQhUajuHwftI+frfKNK8MDCL+kacJ7NwNa2EhmT9+RcG6VR61JbWa5BeeI7RXeZo789HH5JXFu54kP/8s2thYig4c4PhLr7pNcxeJnzyJ+Jsnow4Px3QhnUOPPY7xzNkq3ev6j0TXc5Dj3e/aRP6vn1d4Ng3BV96MX+feSErHu8/55DW3/qii4wm59k7UiU2xFxdSuOhnjPvdx5OKhI4cT/CgEWgaJVG0aS0Zn/+n7Fpg7wFEXHsL6vBILDlZZP8+C/2OzR79UwQEkvT+11jSzpM67Umv+kFDriCgz1A0CU3Qb19PzqyPAAjoOZDwmx+o4LEChUbLhdefxHw2xcWfRh/96nQsaTQUrfmHvN++cnFb5qae8luAgFYtaf78swS0bIFNb+DC7Dmc/aJqbaifsk5SqYl/8DECO3dFGRiMOT2N9O+/onjnNo/agYPGENB7MOr4Jhh2bCD3x08A0PUYQNik+8odlr739LeexpJa9YwvVVQcsS++j2H3ZnJLv6EnfFnHkdRqkp5+hpDuPVAFB2M8f57UmZ9RsMURt4O7dyfpqafRxMSiP3iQlNdfw5zuvqxJvPc+wgYOxL9JEudnfcf5b772qu/L+hX49t37uqxRaNS0/+RVIob2QRMeiv7kWY6+8D5ZS9chqdV0+fE9Qrq1R5eUyOZht5C7rup0FNi6Ge0+eoWQru0wZ+VyeOo7ZCxY4VE/YOAoAnoNRh3XGMOujeT99BkA/t37E3bjveUOJQmFRkvGO89iST1VbX8ElwYf9NQOkWXZfSWzhnjr8e0DpAK/AlvBd7OZbfm55C34DV2Hrkgabdl5ZVgEMfc/RfoH0zHs24muUw9iHp7K2SfuxFZU4OKPXV9M/tL5aOIa4d+2Y7X17YX56FcvQNOiA5Ja43Qt+Ko7QKEk579TkQ3FqOKaePUvaMKtWM65Jl53WHJyyPr9RwK79kBRIewBHToRe+vdnHz+Ccxp54i792EaPf0Sp557rEb+eMNelI9hzSI0zdu7hD1owu2gUJD74QvIJcWo4hrXyp+qkFRKTOnp7L39LkwX0gkf2J82/3mbnVddh81QQtsP3uPYK6+Rs2YdSY88SJv3ZrDnpttc/DGlp7OxZ7+yY7+EeHosXkj2cs+Zsr0wj+IV89G26oikVjtdC73ublAoyXr7KeyGYlQJSVX6k/F8+cwASaMl+tWZGPdu9Rx2pRJTegYH7roHU3o6Yf370/rtGey+7gZsJSW0fu89Trw2ndx162jy4AO0mjGDfbfdXrV/KhVNn36Kon37PepexJKTzYUfZxHSoxeStjy+BHbqQsLd93HsiUcwnUul0cOP0fSlVzn22MNu/dlzxYiy3wo/fzrOXUjeWi/Gl1KFKS2dndfegfH8BSKHDqDDzPfYMvxqTBmZ5G/bzdmvf6JjBaOkpv4Yz6VVeV99fffga+7EXlxAxrQHUfjrCL/vOXR9R2DYsNTjc1tyc8j64ycCu/RA0pSnFV37TsTcfBenX3wS84VzxN79MIlPvsjpFx5360/cfY8iWy0cve0a/Jo2p/FLb2I8dRJT6ukqtSWVEnN6BvvvuhvThXTCBvSn1btvs/va67EZSmjz/rscnzad3LXraPLQg7R6Zwb7bnFNcwAxV00k5qqJHHx4CiUnT+GXmIi1sNBj2O0FeRQvm4e2dUeXfCLk+nuQFAqyZjyJ3VCMuqp3r1AQftdT6DetIGfmG2iS2xJ+91Nk/ec5bFmeG4esebnkzPuVgI7dnMoaVVgEcQ89w/n3pmHYu4OALj2Je/R5Tk25DVuha1lzkajJd2E+n4okVW9mkTU/l4LFs/Fv29lJX79tHfpt68qOA/oMJWTc9W6NXoDUKZPKfktaPxLf/Q7Dzo0etesrvwVo/c5b5Kxcxd477sEvIZ5OP3xL8dFj5K5ZW6V+vZR1SiWW7ExOTn0MS1YmQd170fjZVzj+8J1YMjOq1LYV5FL4zxz82nR2ineG7esxbF9fdqzrPYSQMdd6NHoBwm68G/OZEx7dOOn7sI4jKZWYMzI49OADmDPSCe3blxavv8G+m2/CXmKgxVtvc+qtN8jbsIHEe++jxfQ3OHjPXW79Mp5L5ewnnxBz1dXVDrsv61fg23fv67JGUqkoSb3AlmG3UHI2jegxg+j66wes6zIeY1omuZt2cerjH+j66wee/VEq6TbnM85+9RtbR99BxMCedJ8/kw09rkJ//HSV99kK8ihcOhe/1p2cyrqSHRso2VHeQK3rNYjgUde4NXo9+SMQVMZbSRwLPA+0Bz4ERgDZsiyvlWW5ytJLkqQpkiQ1qr/HBP2OTRh2bcFeXOR0XhUWid2gx7BvJwCGvduRTSZUMXFu/Sk5uAf9tg1Y8933kFSF6eAOzId2IRuKnc4ro+LQtOlK0bxvkfVFIMtY00579EvbsRf2EgOWlEPV0i7cvJ7CLRuxVaowBvXoQ8GGtZjOnka2Wsn87UcCO3RCExtfI3+8YT60E/Ph3dhL9E7nlZGxaFp3pnjBLGTDxbCfqbE/nrCXGDnz2ReY0i6ALJO7dj3G8+cJatuWyOFD0aecJHvZCmSzmTOffU5Aq5b4N03y6m/0leMo2LnL4a8HjPu3YzqwA7veOd4po+PRtutKweyvHddkGWs1C1q/jj2xFxdiPnnEozu70UjqF186elRkmbz16zGeTyOwbRsihg7BcDKFnBWOsJ/9/At0LVvgn5RUpX/xt9xM/uYtGE6frtZz5q9fS8HG9VgrVepD+vQlb+0qjKdPIVutXPhxFkGduqCJT/DqZ+igwVjz8ijet9ejO3tJCSffn+kwTmWZ7JXrKEk9T3DHtsgWK6nf/ETB9t3IXlqzPfnjifr67qrwKIx7toLVgr2oANORfahiEz1qAxRtWU/R1o3Yiiql+e59KNy0FlOqI81n/fEjAe07oXaT5iWtH0F9BpD583fYjUYMhw9QtG0zIUNGuLitiL3EyNnPy9Nc3rr1mM6nEdimDRHDhmJIOUnO8ovx7nMCqop3kkTj++/l5Lv/oeSk4x0Zz53zavga92/HeGAHdr1zXquKjsevfVfy/yh/91VVblXR8ShCwtCvXQyyjPnEQcynj6HrPsCjNkDx9o3od2zGVrmsCY/Eptdj2OvoNdbv3obdZEQd4z6/BfBr0QZNYhKFa5d51b1Iye4tlOzZ6hL3KhPYdwj6zas9urmIrmsfbEUFmI57LnPqM7/1i48j868lYLdjTD1H4a49BDRP9qhfH2WdbDKS+cv3DiNXlinavgVzxgX8m7fyqF2yZysle7dh8/LeA3oPRr91jUc3/t36YTcYMB6tXiMj+LaOYzcaOf/N15jTHd89f+NGTBfSCGjdmrDBQyg5dZLcVauQzWbOf/0VuhbN8Wvi3gDNXryYgi2bsRmqX877sn4Fvn33vi5rbIYSjk//hJIz50GWyVy8BsPpc4R0bYdssXD6o+/J27gT2ea5rA1o3Qy/+GhOfTAL7HZy1mwhb9MuEm6a4Dn8e7dh3Lfda36n6zkI/fZ1VV6vrj+C+qE+5/hKknSvJEk7Kvzd6yIHyyRJ2unmWo3xaPjKsmyTZfkfWZZvA3oDJ4A1kiS579opZzqwVZKk9ZIkPShJUlRdH7QqTKeOY05LRdelF0gKdF17I1stmM9Wv7WvLqgTm2HPzyZg+NVEvvgp4Y++gbZd1cPPJa0fASOuofjvX+rnASTJ5be2SdP68dsLqsRm2PNz0A2dSMRzHxH28HQ0bbtdUk11RDi6Jk3Qp6QQ0DwZ/dFjZdfsJUaMqecISPZcuQKIuXIcGQsW1fo5NI2SseVlEzjqGmJe+4LIp2bg16FHte717z6Qkh3rvTushDo8HP8mjTGknESXnIz+2PGya3ajEeO5c+iSm7m9VxsXS8yEK0n90vNQw2rjFO8c//ybeo93ESPHkLPsnxrLaSIj0DVtQvFR971bDeVPTb+7ft0S/Lr0AbUGRXAY2tadMB3xbPR7R3L57dc4ycWVNj4R7DbMaefKzhlPp+DXyNWtJyrGu4DkZuiPVUpzVcQ7bUwM2thYApon02PpYrovXkTjB+53jjs1eY7Gydhyswkacy0x078k6um38evYs9r3S0ioYmvfHms8eRxz2lkCuvUGSUFA9z7IFgums1X0/EkKou94iMxZnzqK7XpEGR6FtkXbahu+gX2GoN+ypsY6dclvz//0C9FXjkNSqfBPakJwp47kbXE/RLRa1LKsU4WGoU1ohKke6gTK8Ci0zdug31p1r7Xk50/IuBvJn/NdnfXAN3UcVVg4fo0aU3LqJLqmzTAcr1zWnMe/qfuypj7xdf3Kl/VLX5U1mugIAlokUXSo+qMVqkSSCGrXos7eKMMi0TZvi2Fb1elO0LDUp+Ery/KXsix3r/D3ZSW5/rIsdwXGAA9JkjSwLs/udeyVJElaSZKuBn4CHgI+AuZ5ue0kkIjDAO4GHJIk6R9Jkm6TJCnIg1aZ1f/bsarngDkh2ynasIqYB56m2bfziXngabK++wTZbKre/XVEERKOKrYRsrGE7LemULTwB4KuuxdllPtegIAR12DcvhZ7YV6dtYt2biOk/2D8kpohaTRE33grst2OQlv9Ycx1QRkShio2EdlUQs47j1P8108EX3M3yij3raF1RVKpaD3jTTIWLKLk1GmUOh3WIucWYmtxMcoAnUd/grt2QRMRQdYyz8OcPaEIDUcd1xjZWELGtAcpnDuLkEkPoIquuvcHHBm4JrkNJTuqbrl0h6RS0fLN18lc9Bclp0+j1PljK3YOu624GKXO/fbaTZ95mrOfzcReUlIjXXcUbttK+OCh+DdLRtJoiLv1jtJ45+fxPk1MDEGdOpOzdEmN9CSVinYfz+DCnwsxpNS+wlEf/tT0u5tPHkEdk0jsG98Q88qnWM6dxHTA+zzTqijevY3g/oPRNnGk+agbbkG225HcvHuFvz82g8HpnF2vR+HvX209SaWi1VtvkFEa7xQ6HdbK8a6oGGWAa7zTxEQDENqnN7uuvZ79d99L1JhRxFw1sdr6FVGGhqOOb4xcYiDj1QcomDuL0Mnu37018wL24gICh44HhRJtqw5oktvUbQicbKdw3UriHn6WFj8uIu7hZ8n85mNkk/uyJnT0BIwnjmA6VQ8VyEoE9hmC6fhhrDmZXt0qw6PQtmyHfpPn6QWVqWt+m7t2PVEjh9F/x2Z6/DWf9HnzKT5Q/V64itS6rFMqafTUC+StXIrpXGqttCsS0GsQphOHsXl47yHjJ6HftBJbfm6d9YAGr+NISiXNp00ja8lijGfOoHBX1uiLUeo8l7P1gS/rV4BP65e+KGsklYouP7zHuR/noT9asx1L9UdPYc7MpdmTdyOpVEQO70fEwB4odZ7rBdVB13MQ5pTD2HKy6uyX4PJDluXzpf8zcdif1W/xdoNHw1eSpB+AzUBXYJosyz1kWZ5+8SE8P6dsl2V5mSzLdwHxwGfAaDzs/1vR6r+xZdVzRSvi364zETfeQdpbUzl55wTS3pxK1F1T0DS+9K2RALLFjGy1ol+9AGw2LKeOYjl5GE2L9i5uVXGN0TRvh2FjzXu83KHfu4uMX2bR+PlptPrmVyyZ6Y4hPg2UOcgWC7LVimHNIkfYTx/FfOoImuauYa8zkkSrt15Htlg48aZjwRObwYAq0LnCrQoIwKY3uPOhjJgJ48levrJuRmDpdy9eMQ9sNswnj2A+cQhNK8/zevy79cd86ii23Bp8I0mixeuvYbdYOPm2Y5Ejm6HExdhQBgS6HV4WNnAASl0A2cuWu1yrDUW7dpA26xuaTXuDDr/OwZyejt1gwJLlOUzhI0ZTfGCfYzhddZEk2n34JrLFwtEXPS9o0iD+1OS7SxJh9zyLcf820p+7g/SX7kXhH0DQuEmubquJfu8usn6dRaOpr9Lyq1/K0rzVTZq3l5S4VE4VOl31470k0fKN6Y5495YjzdkNBlSV411gADa9a7yzlxqE52Z9j62oGFPaBdL/nEP4gH4ubqvDxby2aHnpu085jPnEQbSt3bx7u43cb95H26YLsa/NJGDwWEr2bKmTMaJr34WoyXeROv0Zjt8yjtTXniHmnsfQNnEta5Rh4YSNnkD277NqreeJgN6DKd5cPUM2sPdgTCeqZySXUcf8VhUcTPvPP+HM51+xvltvtgwbRVjfPsTdcF31n6ECtSrrJIlGTz6PbLWQ9vmHtdKtjK7XYAwees7ViUn4tepI0aq/6kUPGriOI0kkvzIN2WLlzHvvAmB3W9YEuDSqXQp8Wb8CH9cvG7qskSQ6z3oHu9nCwSnuF9DyhGy1suPah4i+YhDDz22g2eN3cOHPfzCer3pefXXR9RzocZSFoOGRZane/jwhSVLAxQ5TSZICgJHAgbo8u7fFrW4G9MCjwBSpfKiRhMO4Da7qWSseyLJsARYCCyVJqtdmQk3jZpQcOVDWqm46dRxTylH823XGXNUQtHrEmu6mFVl2P65N3awNyrAoIp51rBgoafyQFArCohPI++TlWunn/j2f3L/nA6CJTyT6hpsxnm6YYd41CXtdafnaK2giwjnwwCPIVisA+hMpxEwYX+ZG4e+HX6NE9ClVD2NVaLVEjRzOoUe9r67qCcsFdyMSvIfdv/sAild5XCzdheavvIwmPIJDj0wpC7shJYXo8ePK3Cj8/PBLTMSQ4hrnQ3v2JLBtG3osdyxyoQwMBLsdXYvmHHm8du8ha/5csubPBUCb2IjYm2+j5JTn9BYxcjTpv/5UI522772GJiqCPbc+WBb22lBf/tTku0u6QFThUeg3LgObFdlQjGH7OoJGX0fRX7+6vac65C5eQO7iBYAjzUddfzPGM65p3pR2DhRKNHEJmC842ir9miZj9LCwVUVaTHsFdUQ4hx4qj3f6lJPEVIx3/lXHu5LTZ7CbzU6vR65D/mBJc/PuPXhnvXCWnE/LV3yOnDINg4c5Yt7QNmlGyZH9mE46hn2aTh7DeOIIuvZdMJ1xDr9fciuUoeEkvecYsSVptCg0GprN/IWTD94Msuf5ch6fI7k1ytBwDDs3Vct9QJ/BFPwzt0Yadc1v/RolItvsZC50GIDmjEyyliwlfGB/Lvw+u0bPcpGalnUJU55GFRrG6Vengs1WK82KaJq1QhkShmF31at4a1u0QxkRRfzrjpXIJa0fKBTETG1Exoyna6fbgHWcZs+/iDo8nCNPPo5c+s4Mp04SdcUVZW4Ufn5oExK95vf1ga/rV76sXzZ0WdPxqzfQxkSybfw9tS4ji/YfZcuwW8qO+677lXM/zq+VXxfRNHWku5I9dZgmIah37A231nEMMK/U/lQBv8iyXKfWLW9zfBWyLAeV/gVX+AvyYPQC3ODBz9o1EyoUjhXvFAqkCr9NJ4/h36pdWQucpkkz/Fq1w1zFym9IjnslhbLsN0pltfRRletf/G05dRRbQQ66weNBoUDdpAXq5DaYj7sualGybTU57z5F3kcvkffRSxi3rsJ0ZA/5371bvbArFc7vQa1G2yQJAHVUNAmPPEn2wrkui8J486d6YVc5ViUt/Y1CgeX0MewFOegGjgWFAlXj5qibtXYbdk/+eKP5yy+ga9aUAw89WtaLBJCzcjUBzZOJHD4MSaOhyf33oj92nJJTp6v0K2LYEKyFReRv2+493GXPrHZ8c6n8u5tTjmDLzyZw6ATHd09qiSa5Laaj+6r0Sp3UAkVwmNfVnCuS/MJz6Jo25dCjjzmHffVqdMnNiRg2FEmjodG992A4fpwSNwtXnf1sJrsmXs2eGyez58bJ5K1dR8bceZx4ZZqXsCsdK2wqlKVpTlN2zi/JMbdOHR1DkyefIXPubJfFgCoS0K496sgo8tZUb04iQOu3XiKgRVP23v4wdqPz0DJJo0ahdQxbldTlv2vqT5XUw3eX9UVYczLR9R3uSG9+OnTdB2B1W6Fx1S/P75TOab50Pq86Mpr4B58gZ5H7NC+bjBRtWU/05DuQtH74t25HUM++FKz23vOf/OLz+DdtyqFHKsW7VavQNU8ui3eN77sX/fETbuOd3Wgke+kyEu+4DaVOhyY6mthrriZ3nZf57RXy14q/zSlHHHPehjnevaZpSzTN22I64j7NqeIaO76hWkPA4LEogkOrN0dMcbGMcC5rjCeP4d+6fVkPrzYpGf/W7d3OHTXs2cGpKbdxZupDnJn6EDmzf8B4OoUzUx/ybvRWEf6LBPQZimHXZmST0WtQtM1aoQyNwLDD82rOFamP/Lbk9BkkSSLqitEgSagjIogaPcppXYKqwl4fZV38Q4/j16gJZ157Htlsrl7AK6Z5d++99xBK9mzx+N71G5Zz4ZWHSH/rKdLfeoriDcswHthF1ifV6EHzcR0n6Zln8U9K4ujTTzoN389buwb/ZsmEDR6CpNGQcOddlJw4gfGM+4UsJaXSMaVAoXD67S3sPqtfler77N37uqwB2n86jcDWyWyfeL9LGamoUNZW/O2OoA6tUGg1KPz9aPb4nWhjozn3vZdGt4ppTXJNd7pegyjZu9V7fufFH8HliSzLJ2VZ7lT6106W5Te83+UZqS4t8JeSlFvHOj1Y2FWTCb/qJic3ufN+Jm/eLwQPH0foqAkog0OxFRVSsOIvCv5xTEMO7DOYsPHXk/r8gwAE9R9O9L3OW38Url/htG8bQFBChNNxwLCrCBh+ldM5/Yp56FfOQxmdQPA1d6GKbYQtL5viZX9iPuRYBVA3eDzqpJYUzHLddiVg2FUoI6Jd9pnL2O/cyhk9+TZiJt/u7OaXWWQv+JNmMz5EGxePraSEvBVLyPjx27J926Kuu4mAdh0cLd4e/Mn8xXkv2djOSU7HuqETCBg60Tnsq+ZjWLUAZXQ8QRPvcIQ9Pxv98rmYD+9y3DdoLOomLSn44b9e/anI4fl7yn5r4+LotXwxdpOprAUa4Pi018n8ewmhvXvR/Pln0cbHle4r+XLZSs3NX34BgBOvlaeT9l98StH+g5z5xP0eby1GtXE6Dhx5DUGjrnE6V7R0DsXL5qCKSSDk+ntRxTm+e9GSP8rm1AQMm4CmaSvyvi7ffzX42ruQ1BoKfq16/9yTq45WCHss3Rf/7RL2lNffJGvJEkJ69aTZs8+ijSvdx/fl8v1Uk19w7B+Y8sZbLhrNp72KOSPDZR9fv1DnuThxt91J/O3OW1akzfqGzD//oOWHn6KNT8BeYiB7yWLSvv2yLN7F3nQrgR06cmLqU2X3NX7iaRRaP06/VXUFMO94+Uqufglx9N+6DJvROexHpr5G+ry/6bf5H/wbOa8ivaH3KIzn0kh6+G5Ce3Vjzy0PePWnIu1u6FD2u76+uyq+CcETbkEd3wRkO6bjBymcNwt7sfOqtbknnLfYibrxNqInOW8Tk/nr9+Qs+pOmb36AJtaR5vNX/kPmz+VpPvLayejaduDsa47v77SPb1EhmT+438c373R+2W9tXBw9/nGNdyemv0HWYke8S37uWbRxcRTvP8Cxl18pS3PJLz4POOIoOIZENn/5RcIG9MdWVET63HmkutnLtdnQ8hV3g0ZdQ9Doa53f/T9/UrR0DqrYREJvuAdVXGPHu1/8e9nevIHDJ6Bp1prcLx1Dc4PHT0bXewgoVZhPHqFg7ixs2a7D7orTnecDRlxzMxHX3ux0LufPn8iZ8xOhI8cTOuYqVCGhWAsLKFi+iLy/HRW7oH5DCJ94I2eevo/KBA8cQciQ0W738dUGOae7kPE3Ejr+Rqdz+Yt+o2DRb6BS0+i9WWR9/jbGSgZ/8Jhr8WvRhsyPytNY+M0PIGm05Hz7gYsuwJlNzsZLfea3oT170PSJR/Fv0hi7yUTOmnWkzHgXu7G8AhuWFOqkXx9lnToqhtbf/YbdbHYKQ9qn75O/xnldh9DG4eXvb+z1hIx1brMv+Pt3Cv/+A1RqEmZ8Q/ZX72KqtFJz0Kir0TZvQ/anrvWx4LHXo4qKdbuPr7nYuSLf0HWc7OPlW2JqYmPpMm+By3c/9fYMcpYtJbhHD5KefMqxZ/zBg6RMn142ZSXpmWcBOP2OI901e/ElosaOoyIp018je3F5ftt0sPMK2w1ZvwIoOu+86nJDv3tdVEjZ74Yua3Z9tNPp2L9xPENTVjvKyAo9vfsffIW0Xxcx5PhKdEnOq0Ovaj6UkjPnSX72PsL7d2f7+HsAaD3jGRrfeS2SWkXuhp0cfGw6hhRn47vT/Z2cjoPHXEfwFc5TIAoXz6ZwyWxQqYl/40tyvvkPpmPOo1uDRl6FNrk12TPf8u5PBRI//gMf4rMtYeub3cez68147NIiskHfy2Vj+DY0lQ3fhqSy4dvQVDZ8G5qKhm9DU9nwbWgqGr4NTWXDt6GpaPj6goqGb0NT2fBtaCoavr6gouHb0FQ2fBuayoZvQ1LZ8G1oKhu+DU1Fw7ehqWz4NjQVDd+GprLh29BUNnwbmoqGb0NT2fBtaCobvg2NMHzrh13HcurNRuvaMqJB34u3Ob4CgUAgEAgEAoFAIBAgX8Y2vBgALxAIBAKBQCAQCASC/2lEj69AIBAIBAKBQCAQCLzibRuifzPC8BUIBAKBQCAQCAQCgVfEUGeBQCAQCAQCgUAgEAj+pYgeX4FAIBAIBAKBQCAQeEUMdRYIBAKBQCAQCAQCwf80dl8/QB0Qhq9AIBAIBAKBQCAQCLxyOff4ijm+AoFAIBAIBAKBQCD4n+Zf2+NrNVl9qn9m/TGfaZfkm3ymDdBkaIhP9ZP6N/WZtkKl9Jk2QEK3RJ9pH/rlqM+0AVpdm+xT/eL0fJ9pR7SM95k2gFLj26IgsFGMz7TDe3b2mTZAzpZdPtNuMaqNz7T/DSj9ND7TlpS+LWsSewb6TNtcbPSZNkBQQoRP9X357ZMnNvGZNoDd4tu6vaB+uJxXdf7XGr4CgUAgEAgEAoFAIPj3IIY6CwQCgUAgEAgEAoFA8C9F9PgKBAKBQCAQCAQCgcArYqizQCAQCAQCgUAgEAj+p7HLvn6C2iOGOgsEAoFAIBAIBAKB4H8a0eMrEAgEAoFAIBAIBAKviKHOAoFAIBAIBAKBQCD4n+ZyXtVZGL4CgUAgEAgEAoFAIPCKLOb4CgQCgUAgEAgEAoFA8O9E9PgKBAKBQCAQCAQCgcArdjHH99ITOupKQgaNQNM4iaKNa0if+Z+ya0G9BxJx/S2owyOx5GSR/et3FO/Y7Naf2AeeJLj/EGSrtezc8duvBtnuUT/66muJvGIs/s2SyV2xnFNvTi+7FjnuSuJuvgV1eATF+/dy6s03sORku/XHr0kSTZ54Cl2r1ljz80j97BPy1631qC2p1bR46XlCe/dCFRKMMfUcpz74mLwNGx3vpldPmr8wFW1c+HgC+gAAs+xJREFULEX7D3D0hVcwXbjg1q+AVi1p/vyzBLRsgU1v4MLsOZz94iuP+urO/dG07YkiMh7L0V0Yl/7i4kbTexR+fceg//MzbGePufVHGZeE35CrUITHYC/IxbhyNra0Ux61AQIHjyGgzxA08U3Q71hP7vefAKDrOZDwyfeVO1QoUGi0XHjzKSxnT7r4E/3Ea2ibtkS22QCw5edy4dVHPGr79xmOf/cBqGIbYdyzhcLZX5ZfVGsIGjsJv469QKnEmnaWvC/ecOtP2L3Po26cjGx3xDN7YR457z3jNexBQ64gsN8wNAlN0G9bR/Z3HwEQ0GsQEbc8UO5QUqDQakmb/gTmMyku/jT+5DenY0mjoWj1EnJ/rfrbKzRq2n34CpFD+qAOC8Vw6ixHX36frGXrkdRqOs96j5Cu7dE1SWDLqFvJXb/NY1jirr2CFs8/hF+jOEwZ2ey79znyNu2s0n3w8HEEDRiONjGJoi1ryfrqv2XXAnr2J/zqm1GFRWDNzSZn9vcYdm1x609Az/6EjpqIpnFTTCePkfbWcx6fEyBkxDiCB45A0yiJ4s1ryPiiXDuw1wAirrkJVXgkltxscn7/Hv1O9/lN5OS7COjWG1VIGNa8HHIX/E7RhlVe9XV9RzjiXVwjjHs2U/C7c7wLHjcZv069QKHEeuEsuTNfd+tP9OtfOx1Lag2GTSsoWvCDR/3Q0VcSMngk2tL89sKn75VdC+ozkMjrb0UVEYk1J4usX76jePsmt/40ff9L1FExTvr63ds59/bLVWr7Or/5deshFu45zvHMPMa0b8b0qwYCkJKZx4vz1pGaVwRA27gInh3Tm+ToMLf+FBhMvLJwPZtT0gjTaZkyrDtXdEz2qh8wYBS6noNQxzfGsHMj+b/MBMC/W39Cb7in3KEkodBoyXx3KpZzruGqyh9P6PqNxL/HQNRxjSjZvYmC374ov6jWEDz+Jvw79waFEkvaGXI/m+7WH2VYJMHX3ImmSQtkqwXjvm0ULvgB7J7LWV/q+/cehl/X/qhiEjHu20rRnAppR60hcMwN+LXv6cjrL6SS//Vbbv0Jvu5e1MltkdRa7MUFGNYvxrhjncdwAwQMHEVAr8Go4xpj2LWRvJ8+czxX9/6E3XhvucPS757xzrNYUt189yr88arvw3jn67D79xmOX9cBqGITMe7dQtGfFcpFtYbAKybh1+Hitz9L/pdvuvUn9J7nUDdyLudz33/Wo7Zfr2H4de2HKiYR076tFM39xll79A1o2/dwaKenUvD1DFdPlCoCr7wFTXJbJP8A7LlZ6Jf9ifn4fq9hr6+8HkDXoQvRN9+NJr4RNn0Rmd9/QdFmz3Hfl/U7Qe0Rc3wbAGteDjlzfyGgU3ckjabsvCosgrhHnuH8u6+i37ODgC49iX/8BU4+fCu2wgK3fuUunE3279/XSN+SnU3a998R0rM3Cq227HxQl64k3nc/R6Y8hCk1lcaPPkGzV1/j6CMPunqiVNJixjtkzp/H0cenENS5Cy3efo+Dd96KKTW1Sm1JpcSUns7e2+/CdCGd8IH9afOft9l51XXYDCW0/eA9jr3yGjlr1pH0yIO0eW8Ge266za1frd95i5yVq9h7xz34JcTT6YdvKT56jNw1VRvfcnEhpq3LUSW1BpXa9flCIlC37IS92P37BsBPh//EezCu+APriX2oW3dFN/Eeir6ZDqaSqu/DkYEVLv4Tv7adnb69Yds6DNvKM9WAPkMIvuI6t5niRXJ/+xr9xhUe9SpiL8xHv3IhmpYdkNQap2vBV9+JpFSS/Z9nkQ3FqOKbePSraMEPlGz33MhRGVtBLgV//YFf+y4oKujrt65Fv7Xcr8C+QwkZd71boxfg7MM3lv2WtH40+s8s9Ds2etSWVCqM59LZMvJWSlLTiB49iC4/fsD6HldivJBJ3qadnP7ke7r8/IHXcEQO7Uvr159k9y1PkL9jH9q4KK/32PJzyVvwG7oOXZE05WlOGRZBzP1Pkf7BdAz7dqLr1IOYh6dy9ok7sRW5xkG7vpj8pfPRxDXCv21Hr7oA1rxccuf/hq5jVxQV4pwyLILYB58i7f3pGPbuQNe5B3FTnuP0Y3e4zW/sJiNp703Dkn4ebbOWJDz7GpaMCxiPH/Yc9sI8ilcuQNvKNd6FXHsXKBRkvfuM13iX+eLdZb8ljZaolz/FuG+r9/Dn5pAz5xcCOndDUeHdq8IjiJ/yLOfefhX9nu0EdO1JwhMvkvLgrdgK8138OfXEvU7HzT79gUIvFSFf5zdRQTruGdiZTSnnMVmsTuffu34o8aGB2GWZ37Yd5tk/1/Dng1e59efNxZtQK5WsfmoSR9JzeOSX5bSMDad5FYbyRWwFeRQtm4u2dSenb1+ycwMlOzeUHet6DiJo1NVujQ9P/njCXphH8Yr5aFt1RFI7v/vQ6+4GhZKst5/CbihGlZBUpT/B19yJvbiAjGkPovDXEX7fc+j6jsCwYem/Vt9emI9+9SI0Ldq75vUTbweFkpwPnkcuKUYV17hKf/Rr/8I291uwWVFGxhF691SsaWewpp3xGHZbQR6FS+fi17qTUzlXsmMDJTsqfPdegwgedY1bw8+TP97wZbzzddgd334BmhZuyvmr7nB8+/9OdeS3cV7K+YU/YtxR/XLeXpSPYc0iNM1d413QhNtBoSD3wxc8xzuFAntBLvlfz8BekIumZUeCbnyAvI9fwp6f41G/vvJ6TWJj4h99jgufvIt+304UugCUAYFew+/L+p3g/yeXzRzf4m0bKd6xGVtxodN5VUQkNr0e/Z4dAOh3b8NuMqKOia9X/bx1a8hfvw5rpcptaN9+5K5ehfHUKWSrlbRZ3xLcpSva+AQXP/wbN0EdEUnG77+C3U7Rrp0U799H5KgxHrXtJUbOfPYFprQLIMvkrl2P8fx5gtq2JXL4UPQpJ8letgLZbObMZ58T0Kol/k2T3PrlFx9H5l9LwG7HmHqOwl17CGjuuRfCemIf1pT9yCV6t9f9h12Laf0iKG1pc4cqLglZX4j1+F6QZSyHd2IvKUbdwrshUrJnKyV7t2HXF3l0F9B7MPota7z6VxNMB3dgOrQTu6HY6bwyKg5t264UzvkGWV8Esoz1/Ol61QYw7NqCYc9W7MVewt53KMWbV1fLT123PtiKCjAdP+TRnc1QwvE3PqHk7HmQZTKXrMFw+hwhXdohWyyc/vQH8jbvQrZ57sUBaPHiIxx/6zPytzu+vyktE1Napsd79Ds2Ydi1xSXsqrBI7AY9hn2O3mLD3u3IJhOqmDi3/pQc3IN+2wasXioAlbX1Oze7aoc78hvDXkd+Y9izHbvJhDravXbunJ+xXDjnCHPKUUqOHMSvRWuv+qYDOzAd3IldX0W8+/PbGsc7bYee2IsLsZw66tVt8baNFG/fhK2ocvijSvPb7QDod5Xmt7Huw18R/7YdUAYFU7R1g0d3vs5vhrdNYmibJoT6a53OB/trSQgLQpIkZBmUConU3EK3fhjMFlYcOsNDQ7qi06rp2iSWQa0a89feE171jfu2Ydy/w+XbV0bXcxCG7evr7I/TPfu3YzqwwyWvVUbHo23XlYLZXzuuyTLWKgwfcMQT456tYLVgLyrAdGQfqtjEf7W+6dBOzId3IVfO6yPj0LTuQtH875ANpdoejFhbZhrYLjaYyICMMjzaozaAce82jPu2ey3ndD0Hod9edeNRdf1xuc+X8c7HYTcd3IH5kJtvHxWHpk1XiuZVyG/TTtfIb2+YD+3EfHg39kr5nTIyFk3rzhQvmOU93lnMGFYtcBi5soz56F7sedmo4pO86tdXXh9xzWTyl//tcG+3Yy8uwpLhfuRhRXxZvxPUHlmuv7+G5pL0+EqSpAFuBNJkWV4hSdJkoC9wGPhSlmVLfWkZU45jPn+WgG690e/aRmC3XsgWCyYPrUKhI8cTOnI8lsx0cub9RvE2zxUxb0iSVPEAAP9mzTClna/Ozfg3a1YjPXVEOLomTdCnpBB/w3Xoj5YP9bOXGDGmniMgOZmSU6dd7j3/0y9EXzmOM598hl9iAsGdOpL63awa6VdE1aITstWK9ZTnHiyg7N1UOIEiwnuFuToow6PQtmhLzg+fenQXOvEmQq+6GWtGGvkLfsZ07GCt9NSNmmHLyyZgxDX4d+2HrTAf/Yq5mA7sqPKewNHXEzjmBqxZFyheOhvLySO10q6MMjwKv5ZtyZn1UbXcB/YZir6aRnJFNNERBLRIoujw8ZrdqFAQ0rUdGX+vYtD+pSj8tGQsWsmR59/BbjTV+DlMp45jTktF16UXhj3b0XXpiWy1YD7rfRhrXTGddGgHdO2Ffvd2Arr2+j/2zjo8qqPtw/fZjbsHC+7u7u7uFCgUKYXSliqFUqGu0OKuLVLc3d0dAsGjJMRl/ftjQ8hmd7NJNmTL+819Xblgd+fM78ycmWfmOWPo1CoUZkYgMiPZO+BUujzx+3fkWd++eBk0sdG4te+Nc52maBLiSNq3EcW1cxavda7blLQL1tm6tPvBKEMf41a3IUkXz+JWp6He3j6ynH7PFu1IOnMcnSItz/r/BXvT9IdVpChVaHU63mlV22SYRzEJ2MkkSvp5ZnxXIdCH848irNYH/VRehzKViM3BNNL8wCEovdx16INL3Wb6GQl7NpBmptwlH92FU61GKEJuInN2xbFiDRJ3r38t9e2LlUIbF41rm1441WyMNjGO5INbUNzIxtZ3H4pzraZIDo6owh6iDL6aJ+2syL39cCxbucCeuyn9gix3WbULOu32xUrrn33b3jjVaqJ/9vs3Zf/sO/TDrWN/1M/CSd77L6oHeWvn7YqVRhsXg0vrnunlLp7kg5tR3jS/POgFkqsHct9CaKJy0Ac1Q25tvXO5Sqgiwin523zs3D1IvnaZyKVzLL60zwkF3b8TWEac42vM0vS4XSRJGg64ARuBNkB9wPQ83Lyg05JwdD9FJn6GZO+ATq0i7I/v0ClMd6hjd28hauUCtCnJuFavQ5H3P+dp/HNS72Q/+mWO+DOnKf3VdKI2byLtyROKjBiJTqtF5uRkFDbt8SNUcbEUGvwGkWv/wb12Hdxr1iLxomVD9gLJzo6KP35P5JZtpD54iNzFBeXzWIMw6qQk5K4uJq9/fuQYFb7/hqA3hyLZ2fFo7nySruct7dg74ti0KykbLDdEmvCHyFw9satQG/Xdy9hXrIPMyzfHU6Es4dqwJYp7t9DEmB9FjNu4ElX4E3QaNa51m+L/zudEfDsJdXRkrvVknj7YFw5Ccf0cz757F/vi5fAa8SHPo8L0b/yzkLhrLZrIUHQaNU41GuL15iSez5iK5nn2o545wa1xKxR3b6KOthyX3McfpwpViFn+V640JDs7ai75hdDVm0kOzp2D6Rjoh8zBgcK9OnC63RtoVSrqrJtD2c/GEfzVjFzFBYBOS+LxgwSO+zijzkfO+hGdMvdOdJ60jx2g0PhPMrTD//zBrL3JTMDICSge388Yqc4L8hfl7to5oqZPwL5EObxHfkRMZKjJcvcCmZcvDqUrkbBukdkwOUKrJf7Ifoq8Nzkj/aG/f2vRmZUcHHFv2IzQn77Mu/Z/xN4cn/wGKUoV2y7fo7CX6al8qUoVro6GWm5ODqQo8uedr0u95ihDbqF5/ixf4rOEzMsH+8LFSbt6jsiv38GhRDm8R32COjIUtYlyp7x/G5eGbSj03WIkuZyUc0eyfSn4X9aXefpgVygIxY0LRP/0PvZBZfEc9gHqqFA0z0yPaCVtXUnStlXYFy+LfamKBnuKWINL/Rb65x5TMM/dSL+Ay52Btg3SnvHsr58n+oeJ2Bcvi+fwD1FHhaF5ZlzuknavRRMZltHOew7/gNg/v8hTOy/39MauUDEUN88T8/MH+nI39H1in4WZLXf6m5bj0X8MaZdPoIm24kVbLm29va8fns3b8PjbyahjYygy/mMCR44n/E8Ta5JzSUH37wT/27yqqc7VdDrdAKAX0B7oq9PpVgIjgFrmLpIkaYwkSeclSTq/NuRpjoRcqtXCf8goHn/9McFDuvDk648pNPZ9HEuYHkVVPLinfwOl1ZJ8+RwJxw/hVr9prhP4goTz5whbspCy3/5AjX83oQwPR5OSgjLKuILqNBruTf4Uz0aNqbl1J4UGDib24AGUz3JoFCWJCj98i06l4t73PwGgSUnBzs3VIJidqyua5BSjy+08PKg6bxaP5i3kWJ2GnG7TAe/GjSg8oF/uEw44NuqI6tZ5dAnPLYbVpaWQsnURjnVa4v72dOxKVkLzKBhtYlyetLPi2rAFyacOZxtG+fCu3mir1SSfPowi5DZOVevkTVClQqdWk3xwC2g0qB7cRhVyC4dyVU0GVz8JQadMA42atIvHUT28i0PFGnnTzoJbo1YknczZCK5bo5Yo7t7KkZOcgSRRY/FPaFUqbnxgejOZ7NCk6hvKh3NXoYh4hiomjod/LsO/Q/NcxwXgXKUmvgNHEPbDZ9wf2YOw7z/D/62JOBTP3cyJvGr7DRrJ028/497w7jz99lMCR72Hgxl78wK/QSNxCCpBxF+mN8TJKTqVEp1aTdKBzfpyd/82ypCbOJavlv1912mK6sEdNLHWdRpfbF7y+MuPuDOoM4+//IjCb3+AY8ns0+/eoCnapERSbuZ95Ou/ZG9cHOzpV7ciUzcdJSbJeM2ws4M9yQqlwXdJCiUujsZrlvOkX785KdlM+cx3XpS7/ZtAo0F5/zbKezdxqGBi6rgk4T36U9KunSVi8ggivhiDzNkV966DXkv9F3Uu+fBWfZ17eAfVg9s4lDVt619eqEP16C5yTx+cG7TKk3ZWXOo3N9jboaAp8HKXRbug057x7A+9aOfvoLqfXTt/37Cdf3QXhwp5a+d16X2MlMPbMsqd0lK5kyTc+45Gp9aQtG1VnnRfkFtbr1UqiTu0F1V4KLq0NKI3rcGtVj2r7uEFBd6/E1hEq8u/v4LmVY34ytKnO7sCLoAn8BxwBMy2/DqdbgGwAODOgA45yg7HEmVIuXUNxX399Mu0kGBS793BpVptFI/MT3fOJJoTmWyJ2riBqI0b9PcTFETh4SNIfWBaOzXknsHGV5XmLiB6984c6ZT/5kscfH24Pu7djDfIyfdCCOzRLSOMzNkJp6BiJIcYb3LkFFQMnUZL1NbtACgjo3i2aw8+zZsSvjb308DsipdHcvfEoUYTACRnN1y6Dkdx7iDKcweMwmuehpD89+/6D5IMt7e+QHPhcK51s+JQpiJyTx9SLprfbdAkOh15na2hDn9sKsLciJNn8Uw4lq2I3MuH5PM5S7tbo1bE79qQK43q877DMcCPc73G5GnkQh2XQOrTcIO6pstVXhniULw0qbevo3igXy+peHAXRcgdnKvURJnNEof8wLHEC229vVHcv0tayB1cqtREacbe+PQZgkuNujz99lO0qdlvrGQJdbiJTfBykJXOdZqSfGibVdoATiX19jYts729ewfXarVRPDSf954t2xF/1LpNR/4r9uYFWp2ONJWaqMQUfN2cDX4r4euBWqvjUUw8JXz1052DI55Txt/Lal2HUhWQeXiTetn0LuavAlUu7J3k4oadjz/JJ/aCRo0uJYmUc0dx79iPxO3/vHb66ghTdS4X9ksmy9EaX0s4lKqA3LNgn3tW/YIud5m1bZF2q5+9NX2MPGi79xqBzM2D+BV/gNb8Hgg5Ibe2Xt/fznR/+bR40xb9O4FlXuddnV/ViO9i4DZwGZgCrJckaSFwDliTzXXmkcn0uzzKZAb/Twu5g3PFqhkjvI4ly+BSsarZNb5uDZoiOTqBJOFSvTYezVqTdCEHxlQuR3JwQHqh7+CQ8Z1zKb22Q2AgJT+ZTOT6tUYbBbzAuUxZJAcHZI6OFBo0GHtfP6J3Wl7zV3baFFxKl+L6+PfQZppWGXPgEK5ly+DXtg2SgwMl3h5DcvBdk+t7Ux8+QpIk/Dt3BEnC3tcX/44dSA62sGZTkoHcTp/3kqT/vyQj5d/ZJC//ieSVv5C88hd0yfGk7luH8rLpjS9k/kX1cTg44tiiB9rEWDSPcrD+RSbT7+4qkyFJL///AreGLUm9dDrb6ZaSswtOlWtmXOtSvzmO5SqTduNSjrT1z13KuF754A6auBhcW3UDmQz7EuWwL1MJZbDx8QGSkwsO5atlXOtUszEOpSrmbN2XTIZkl6ncZ017o9akXDiFzsJOtQCOZSoi9/bNsZMMUPXPr3CtUJrzfccZrceVOdgjS5/Omfn/pni6ciMlxr2Bg78Pdl4elJownKhdh7MXz1TPpUz/V9wPxrlClYwRXocSpXGqUAWluXW2kv5aSSbP+D9yeY61kckNtStWyRjhdSxRGudstL2798e9cUtCf5iSu7VOmco8mcq88v5tfblr3V1f7kqWw6FMJRR3zJcl+xLlkHl6k3Y1++OmTKVfymJvU1/Y25KZ7G2lqqRls8bXzscPlyo1iD+8L2faNrY3ao0WhUqNRqdDo9OhUKlRa7ScCgnlVngMGq2WpDQlv+45i4eTA6UzreN9gYuDPW0qlWDOoYukKFVcehzJ4TuP6VqjrOX0Z7I5kszY3rnUb07albOW10pbiMfSNQblLuQ2mrho3Fr3SC935XEoU9lkudMlJ6KOicKlcVt92XFywaVuMzMvC/9D+mbaGdXDYDTxMbi06KrXLl4W+9IVUd69bhSF5OqOY7UG+l3oJQmHslVxqt4QZUgOlhOZqfMvcGnQgtQrZ3L83M3FY+k6W5Y7W6edLPesenBH/+xbZmnnTRwTJDm54FDuZTvvWLNRejtv4UghmQzs7PRlLv3/L8qdNj4Gl+ZdQCbDLqPcmY7Prfsw5P5FiF81E9S5WFKRT7Y+/tBePFt1wD6gEJKDI749B5B00fIJAjbt3wnyzOu8uZWke0WqkiQVAdDpdGGSJHkBbYHHOp0uR72vrCO+vn3fwK/fUIMw0etXEvPvKrw6dMe7cy/sPL1QJ8QTt3cbsdv1o1ruTVvh23MQDz/SH6sR9NVvOJYoBYDqWSTPN68h8aTx9JmEUMPdm4uMHEXRkaMMvgtdsojIdWuoOGsejkWLok1JIXrndp4unJ9xXmDhocNxq1GTux99AECxdybg3607ktyOxKtXePzHbyhCDad1p8YZOhiOhQvTYN9OtApFxhllAHe//paoHbvwatiAsp9/imORwunn+E7T7wCN3mEGuPeN/nxZr/r1KDXpPZxLFEerUBBz+CghP/6CNu2lUak5soWhfqOOODbqaPCd4tRuFKd2G3zn9tY0UvetyThX06mNfgp12gH9aLJz52HYlaoEgPrhbdIObkCXarzzY1ywYQfFs+sAPLsOMPgufvta4revBTt7iv28hGfzf0Zxx7BB8OjYB8eylXg261tkbh74T5iKfaGioNWiigglfts/pN26YphWT8Np465te+HWrrfBd0n7NpK8fxPywKJ49HkL+8LF0cRGk7RnPYob+vWbLq264VCqAnFLfkVydcd7xEfIAwqDVpu+6cUGkx2n1BjDXWK9ug/Eq7vhFL24rf8Qt3UNkp09Qb8vI2rOT6TdNuwAenbui2O5ykTN/CbjO9+h45AcHIlePMNIF+Dm34a7/ToFFaH1nYNo0hQGI73X3/2SsLXbaXnrAC4lDHcvP1SxDamPQynz8Vi8m9ThfE99vZPs7Kj86+cU6d8VrUJB+Ibd3J7yC9pM00Er9DXcXdy712B8eg0x+O75ptXEbvobj7Zd8erQA7mHF5rEBOL3byd+9yZAP53bu1t/nnyun1nh3rQtAWM+MIgn4dh+g3OBAbSalybHp/cQfPsYasdsWM3zjavxbNcVr449sfP0QpMYT9y+7cTt1Gu7N26Jd48BPP5Uf8ZyudU70apUmXZ5hedb1hK7dZ1B3O5FfAw+u7XrjVv7LOVu70aS9m3ELrAoHv1GYVc4CG1sDIm712esX3Rt3R2HUhWIXfxLxnUefUYi2TsQv2Ye5oh7aDj13a/fUPz6Z7G361YSvX4lXh2749OlF3JPbzQJ8cTt3srzdHvr0bQ1vr0HGhxj5NNzIG616/F42odm9Ys0qpzx/4K2Nw6FDTe8mnvoIvOOXDb47u0WNSkT4M3sgxeJTEjGyd6OqkX9mNimLuUL6Z/doqNXuPg4gjlvdADSz/HdcoxT98Pwcnbkvbamz/GNOX3R4LN7x754dDJcfpKwaz2Ju/8FO3sKT5/P86W/owg2tB9u7XriWLoiMfN/tBxPOjI7wxdAbu374N6hj8F3iXs2kLR3A3aBRfHsPwa7wkFoYqNJ3LXuZblr00Nf7hb9DIBdkRJ49BiKfZESoNOiuHuDhE3L0GY5lSErBa0vd3r5ss61dU9c2/Q0+D35wGaSD25GHlAEj14jsSsUhCYumqR9G1De1D83lxZdsS9ZnvjlvyO5uOM5eDx2hYqDJKGNiybl1H6Tx9soEwyXI3l06odH5yzPa+d6EnatBzt7iny3gJjFvxk9d/f2vXAsU5HouT9YjicTksxwxKYgy50uy/zGgk67g5vhHiyubXrh2tbwWLLk/ZtIPrAJeYC+nbcrpC93SXv/zdhgyqVlN/2zX/Ybkqs7Xm9+iNxf385rnoWTtG8DqnvGGyxJmV68urTugWvrnobaBzeTcnAL8oAiuPcckVHukvdtRHnrRbnrgn2J8sSv+AOZly++H/2KTqUyGOlN3LocxRXDgZ2YO4YbXuWnrffrPxSvDvoZiMmXzxO5ZI7R7t4uvob7IhRk/w6g+LyNRt8VIK/vMGkWdl5U5Zvz2Lm2fYHmyytzfK0lp1OdXxVZHd+CJKvjW9BkdXwLmqyOb0GS1fEtaLI6vgVJVse3oMnq+BY0mR3fgiar41vQZHV8C5rMjm9Bk9XxLWiyOr4FSVbH9/8bmR3fgiar41vQZHV8C5Ksjm9Bk9XxLWgkSzOOXiFZHd+CJqvjW9AIxzd/2H5RnW+VuGttuwLNl1e1xlcgEAgEAoFAIBAIBP9D/EfHTHPEq1rjKxAIBAKBQCAQCAQCwX8CMeIrEAgEAoFAIBAIBAKLvM67OgvHVyAQCAQCgUAgEAgEFrHxMn2rEI6vQCAQCAQCgUAgEAgsItb4CgQCgUAgEAgEAoFA8B9FjPgKBAKBQCAQCAQCgcAiutf4ZCbh+AoEAoFAIBAIBAKBwCKv8xpfMdVZIBAIBAKBQCAQCAT/04gRX4FAIBAIBAKBQCAQWOR13tzqP+v4lujf0ab6Op8Am2lLUaE20wZsPofBJS7RZtpuDRvYTBvAMzHOZtoBjWvaTBtAFlTKpvq6yDAbimttpw24FLWdvQNwKFXaduIubrbTBrxrV7GZtsy/kM20AbQRtm3rZL7+thO3cZ1HpbKdtlZjO20AV3fb6qck20zatVSQzbQBZB6eNtUX5A+vs+MrpjoLBAKBQCAQCAQCgeB/mv/siK9AIBAIBAKBQCAQCP47aHViV2eBQCAQCAQCgUAgEPwP8zpPdRaOr0AgEAgEAoFAIBAILPI6O75ija9AIBAIBAKBQCAQCP6nEY6vQCAQCAQCgUAgEAgsotXl358lJEnqKEnSHUmS7kmS9Jm19y6mOgsEAoFAIBAIBAKBwCK6AtrcSpIkOTAbaAc8Bc5JkrRVp9PdzGucYsRXIBAIBAKBQCAQCAT/JeoD93Q63X2dTqcE1gA9rIlQjPgKBAKBQCAQCAQCgcAiBbi5VVHgSabPT4EG1kT42ji+/5y6ztaLd7gbEUOnGmWZ3rc1AFcfRzJ7/1luhkYjlyTqli7Cp12b4O/hmm18j6Lj6PvnetpWLc0P/dtY1F9z6CxbT13hblgUHetWZfqbL184nLl9nx/+2UXE83iqlirKN8N7UMTXyyiO8Ofx9P56jsF3qQoVk/q0Y1i7RubTfuYmWy/d5W7kczpVK8P03s31aX8SxewDF7gZHo1cklG3VCE+7dwIf3cXk/GExiby/faTXHkShYOdnLaVS/JJp4bYybMf+P/nzE22Xr7L3ahYOlUtzfRemfQPXeRmWDRymYy6JQvxaaeGZvXvP4vj+x2nuBUejbeLEx+0r0ebSiWz1Xaq3xrHWk2wCyyK4tpZkjYtefmjvQOuHfrjWKUuyOVoIp4Sv+Sn3MeTXdqPXWLr2RvcDY+mU+2KTB/cEQCVWsNnK3dw80kkYbEJLBrfn3plg8zG0/DTPw0+K1Rq+jepweQ+2Zc9Wz77NReC2Xr9AfeexdOxUnG+6dIQgJDoeL7YcZqnsUkAVCrkwydta1PGz9NkPGHxSXy/9wJXQ6P12hWC+KhNLexkFsrdkfNsPX2Nu+HP6FSnMtOHdgXS837ZFm4+jiDseTyLJg6mXvkSuY7HEmvO3WLrlRDuRsXSsUoppvdoqk//szi+2HKcJ7GJAFQu7MsnHepTxt/LKA6lWsP3u05z5kE48akKinm7M7F1bZqWLWZB+zZbr4ZwNyqOjlVKMr17k5faW0/wJD3vKxfy4ZMO9UxqZ+bR8wT6zd9G20ol+L5nU4tpt6/RFIfK9ZD5FkYVfJG0vWuMwjg0aI9To44kb5iL5sldk/HIC5fEqUVPZD4BaOOfk3ZoA5qwB9lq/3PiClvP3+ZuRDSdapZn+oB2AFx9FMHsvae5+TQKuUyibulifNqjuVlbby4eS9i83J2/w9ar97n3LI6OlUvyTTd92xDyLJ4vtp3kaVymeteuLmX8Tde7Uav2cS1Ub5sBAtyd2fx29+zTnk/2DmDXxdvM33OK8LgE/NxdmT6oI7XLWCj3+WRzGv/+r8FnhVpDv1pl+axdHfNpt3W5O3k1/boY/XXp/RK9/hluhj5L1y/Kp92bmdRXqjV8t+kIZ+49IT5FQZCvBxM7NqJpRfPlNEP/9HW2XgzWtzXVyzK9T0u9/pNIZu8/r2/nJYm6pQrr+1hm2hqAXVfvMf/QRcLjkvBzc2Z6n5bULlnYvLat+zjHL7P13E3uhsfQqVZ5pg/qAKSX+9W70st9IovG9cm23N+PfM73Gw9y62kU3q7OfNCtGW2qlc1e+/QNtl56ke9lmN67ZXraI/Vpz5zvXRqbTXvD6UsNPitUGvrXr8Tkrk2y1V9z8S5brz3gXnR6neus9yn0de6Mob1pUyubdj6Z7/dlaufLF8tZO59P5e6tRdu4ml5HAQI8XNn6/oBstQV5Jydrc3OKJEljgDGZvlqg0+kW5J+CIa+N4+vv7sLoVrU5GfwEhVqd8X1CqoI+9Srz2+Ag5DKJH7YdZ9qGw8wd0SXb+L7fepwqRf1zru/lzqjOzTh1M4Q05Uv92KQUPpy3nmlDu9Gienlmbz3Ep4s2sPLTt4ziKOzjyamZkzM+h0bH0u2LWbSpVSl7bXcXRreowcl7oShUmozvE1IV9Klbkd/KFkUuk/HDjpNM23SUucM6mk7z9pP4uDpz4ONBJKYpGbt8N2vP3WJIwyqW9ZvX5GRIKApVprxPU9CnTgV+699ar7/zFNM2H2Pu0A5Gcag1Wt77Zz/96lZk/rAOnH8YwcR/9rN2rDclzRhSAG1iHKlHtmNftgqSvYPBb27dhyHJ5MT+NRVdajLyQsXzFE+2afd0Y3T7Bpy8/cgg7QC1ShdlSIvafLxsu8V4Tv80MeP/KQolrafNo33NCpb1bfjs/d2cGd2oCicfRBjUuQA3Z37t2YTCHq5odTrWXrzH5K0nWTeyk2ntvRfwcXFk34SeJKYpGbf2MOsu3mNw3fLZp93TndEdm3Dy1n3jvC9TjCGt6vHx4k3ZxmEpnmyvc3NhVNPqnLofSlqmvPd3d+GXvi0p4pme/vN3+GzjUdaPNXYqNFotgR6uLBrWkcKerhy/+5RPNhxh/dgeFPVyM6/t7sKoptU4FRJOWqa893d34Zc+LQy1Nx1j/Zhu2ablh11nqVLEL8dp1yXFozi7D7sSFcDO3uh3ydMX+3I10CbFm4/E0QXn7m+RdvBf1PeuYl+hNi7d3yJx6XegSDV7mb+HK6Pb1OVk8GNDe5OaRp8GVfhtaGe9rd98hGnr9jN3lOlZT+bisYTty50zo5tU5eT9cBTql+UuwN2ZX3s3o/CLZ38hmMmbj7NutPm27tMO9ehdM/uOt+E954+9O3XnITO3H+XnYV2pWrwwzxKScqafTzbn5KS+Gf9PUapoO2sL7Spm76jbvNwZXJfF1jeowm/li+v1txxl2vqDzH3LuM6rtVoKebmxeGwvCnu5c+zOIz5evYd/PxhIUR+P7PXdXRndsjYn7z0x1q9Xid/KFtO3NduPM23jYeYO72wynlP3njJzz1l+HtiGqkUDeJaUYjnttu7jeLgxum19Tt4xUe5LFWFIs1p8vGJHtnGoNVreW7KVfo2rM39sb86HhDJxyRbWThpCSX9vC2mvxcl7T7P0bZXpaU/P9x0nmLbxCHOHmy7zp78YkfH/FIWK1j+von3V0tneM6TXucaV0+tcJnuTUedc9HXu0j0mbzvFuhFm8n5fejs/voe+nV93hHWX7jG4joV2Pp/KHcDkrk3oXbeixTQLrCc/R3zTnVxzjm4okNl4F0v/Ls+8No5v2/QKfPPpMyIzNaJNKxg6O4MaVmXkwq3ZxrXryj08nBwoXTyQx88TcqT/wjm9+SiMNGVixvcHLt2idBF/2tepDMC4ri1o+dGvPIiIplSh7Dua205fpXa54hT188o2XNvKJfXaodFEql42Ik3LGzbkgxpUZuSSnWbjCY1NZGCDyjja2+Fob0eTcsUIiYrNVttAPyyayEyNQtNyWfTrV2LkMtP6D6LjeZaYwtBGVZAkiQali1AzKIDtV+8xobX5t/DKWxcBsCta0sBhlfsVwqFCTWJ/+widIg0ATfijXMdjibbVywFw80kkkXEvy529nZw3WujvWybL3SL//Vfu4uPmQu3SRS3r2/DZt6mg17gZ8ZzIxJfP3d3JAXcnfR7qdDrkMiljBNIUYXHJDKhdDkc7OY5uzjQuXZj70dk4TOm0TX8xcPNxOJFxL+ucvZ2cN1rVB0Bm4W1ydvFYok0l/SjJzfBo0jLlvYeTAx6Z0i+TJJ6YsSPODvaMa1Ez43Pz8kEU9XLnVnhMto5vm4p6u3YzLIa0THlvpC2T8eR59mnafeMB7k4O1PDzzBiltoQ65BoA8oAgJHfjF1POrfqgOL4dp9Z9zMZhV6QkupRE1HevAKC6fQGHBu2wL1sd1Y0zZq9rmz5CcvNpFJHxmWx9xZIG4QY1rs7IeRtzHY8lbF7uXjz78BgiE1++IDCqd5KU4+eZU/LL3s3dfZIx7RtRvWQRAAK93HOkn182JzP77zzFx8WR2sWyf9Ft83JXtUym65Iz6RuO1ur1Tb94cXGwZ1y7+hmfW1QqSVEfD26FPrPo+LatUkqvH/qMSFUm/fIm+liLtpmNZ+6BC4xpVZvqQYEABFqYfQf/gT5O9UzPLGudb14bsFznH0Q951lCMkOb19L3ccoFUbNkEbafv8WETo3Na7/I97BnRCZk6l8Zpb0KIxdbfukEsP/mA3xcnaldopDFsG3K62dh3IyIJTLxZd6btjfZtfNJDKhV9mU7X6pQztr5fCp3gv9ZzgHlJEkqhd7hHQgMtibCV+b4SpJUGuiN3lPXAMHA3zqdLmeeZh658DCcMoHm364lpSmZs/8ci0Z1Y+O5W1brhYQ9o0KxwIzPzo4OFPP3JiTsWbaOr06nY/vpq4zu3Mzqe3jBhYcRlAnwMvv7kEZV2X3tPnVLFiYhTcHxu08Yn43TmWv9R5GUyebNpinu5aBRMoVd0VJo42NwadUDxxqN0CbFk3JoK8qbF/IUX0Gy9dwNutWrjCTl3654tnj2zWZsIFWpRqvTMa5ZNbPhBtcrz55bj6lbPIDENCUn7ofzTjbhXxea/vx3RvrfaVkzR9fEJKXyKCbe4tRki9q/rHmp3aKG2XBJCiVzjlxh4Rvt2HjpnlWaL7ArVwOdRo36YV7sp4TM13JnLCdceBBGmUI++RLX60Sz39a9rHfNq2cb9q9Dl/nr0GVK+LozoUVN6pYIzDZ8fqDRarnxJJIWVcrQ9bvFKFRqWlUry6RuzXFyMJ49kBtyanMys/36A7pWLZlv9tbW5e7C/TDKBOZMPyYxhUfRcTkOnyP9h+GUCTDdzmu0Wm6EPaNFxRJ0/X0NCrWGVpVKMKljQ5zsre9u2rqPk2t0cC8iJl+iyi7fs7L1UjDdapbLlzLfbObGl3WuaVWz4QbXLc+e25na+QfhvNM0/9r5nKT/z71nmbn3DCX9vJjQth71ShfJN32BIQW1xlen06klSZoA7AHkwBKdTnfDmjhfieMrSdJEoCtwFKgHXELvAJ+WJOkdnU53+FXoBofHMP/gBWa+YXoqBsDsfWfpVbcigZ7mR1tyQ6pCiXeWNQduTo4kpymyve7SvcfEJCbRrnblfLmP4IjnzD9yiZmDzK8nqlOyEBvO36bJ9yvQaHV0r1mO1pUsr/3JnX5bk7+X9PPEx9WJZSeu8Uajqpx7EM75hxHUK2V+3U92yDy9sQsshvLmBZ7/+iF2QWXwHPIecVFhaKLDrUnKKyXseQIXQp7y1UDj6eB5xVbP/tj7fUhVqtl2/QGFPc2/1a9dzJ+Nl0No9scGNDod3aqWpFU5y6Pd/3WOfzKYVKWKrVdDKJwDe6LSaPl88zG61ShLqWym9+dI++OB6dr3s8372Yev0Ktm2RyNuuQIe0ccG3cmZdM8i0E14Q+RuXliV6EW6rtXsK9QG5mXb65mXJgjODya+fvPMvPN7Je0/C9y7MP++np3Lftn/16rWpT288ReLmP3zUe8t/4wa97qTJB3zkZf80pMYgpqjZb9V+6ydMIA7OQy3l+8hYX7zvBuF8vry7MjpzbnBWHxyVx48owvO9W3GDYn2LrcBYdHM//AOWZmM93zBSqNhslr9tGtdgVK5dBhsqgfEcP8QxeZOaS9yd9jklL1z/7GfZaO7o6dTMb7q/ew8PBF3m1n3TOwdR/HEiUDvPFxc2bZoQu80aIW5+495fz9p9SzsK49JwRHxDD/8CVmDra8XjwsLpELDyP4Kn0vFms59l5vfZ278YDC2bQjtYMC2HjlPs1mbMz3dt5SuQN4r0MDygR4YS+Xs/tqCBNX7WHd+D4E+WY/00GQN/Jzja8ldDrdTsD8VI9c8qqOMxoNdNLpdN8CbYEqOp1uCtAR+MPcRZIkjZEk6bwkSecX7zuVK8HHMfG8s3wHn3RtQm0zztTtsGhOh4QytEn2b8lzg7OjA0mpSoPvktOUuDo5ZnvdttNXaVOrEi5O1ncCH8ck8M7KPXzSqSG1S5oeTdFqdbyzYjdtKpfk9NThHPlsCAlpCmbsPZc/+qv36vXNTK2xl8uYMbAtx+4+pc2v/7Di1HXaVylFoIf5DTKyQ6dSoVOrSTmyHTQa1A+DUT28jX3Z7Nfy2Jrt529Sq3RRivla5/i8wNbP3tnBjr61yvLF9tM8T04z1tbpGL/+CK3LF+PkpL4cmtiLhDQVMw9fsVr7v4Czgz396lTgiy3HeZ5sft2qVqdj6uZj2MllfNbRqg0Js2iX54utJ0xq3454zpkH4bzRIPs9BHKDY8MOqG5fQJdgeaaGLi2FlK1LcKzVAvcx32BXsiKax3fRJsZZdQ+Po+N4Z/FWPunenNqlXv8XKHnB2cGOvrXL8cW2kybrHUC1on64OtrjYCene/XS1Czmz/F7Ya/83l6M7A1qVgt/Tze83VwY2rIOx27dz5f4LdmczOy48ZCaxfyyXVaQU2xd7h5Hx/HOku180r0ZtUtlP5Kl1eqYsmY/9nIZk3vmjwOk72Pt4pPOjcxuVJXx7BtWxd/dBW9XJ4Y2qcax4Ccmw+dc27btXE6wl8uZMaIbx249oM1XC1lx+ALta5TP8TR/czyOieedFbuzzffMbL98l1olAinmnX8On7ODHX1rluWLHWcst/Mf9OHQuz1JSFMy88hVq7VzUu4AqgcF4OrooLd3tctTs0Qgx4IfW60v+N/jVZ7j+2I02RFwA9DpdI8Bs3OddDrdAp1OV1en09V9K5tdjrMSFpvI2MXbGNOqDt1qmV9If/5BGGGxiXT4eRWtv1/O8uNXOHD9PgNm/Wv2GkuUKeJP8NOIjM+pCiVPnz2nTBHz64nSlCr2XbhJ94bmpyjmlLC4RMYu38WYljXpVrOc2XDxqQrC45MZ2KAyDnZyvFyc6FGrHMfuWtcghcUlMXbFbsY0r0m3GtlvolK+kA9LRnTm6KdDmDe0A6GxiVTNxQZjmdFEPjX6rgC3V88z287fpFu9/Bnlt/Wzf4FWpyNNrSEqydj5ik9VEpGQwoA65fTazo70qFaK4/f/u6PyuUWr05GmUhOVYHoTF51Ox1fbThCTnMZvfVtib2GH0dxra4hKNM77848iCYtPouOfG2nzx3pWnL7JgduPGbgo+01assOueDkcajbFbfRXuI3+CsnNC5cuw3Go29pkeE1oCMlrZpA4byqpu/9G5h2AJjLvnZGw2ATGLtzMmDb16Fbn//cmJi+fveXNg16g49UbSQ8XJwK93DCYZZmPyzoge5uTme3XH9Ktaimr9Wxd7sJiExi7aCtj2tSlW+3sN0XU6XR8+e9BYpJS+W1oJ+zl8nzQT2Ts0h2MaVU72z6Wh7MjgR6uWR63dc/+v9LO5YTyRfxZMr4fR6e/zbyxvQmNiadq8bwvLwiLS2Tssp2MaVkr27RnZtvlu3Srmf2GUnkhR+187bJZ2nnrXrTltNyZQkIqAGv3/xedLv/+CppXtcZ3EXBOkqQzQDPgJwBJkvyB53mJUK3RotFq0eh0aLQ6FCo1cpmMmKQURi/exsBGVenfIPvRvj71KtGx+kvnbPmxK4TFJjKlh+V1ti/0tVodWp02Q791zYrM2LCf/Rdv0axaOebvOEq5YoHZru89ePk27i5O1KtQMvdpz6Qdk5zK6KW7GFi/Mv3rZT+q4+3qRFFvd9advcXwJtVIUarYevke5XOw9sdQX2eov3wXA+tXon89y52B4IjnlPD1QKuDdedu8SwphR6WjLlMpv+TJJBkYGcHWi2qh8Fo42NwbtaZ1GM7sStWGvtSFUnZuz5X8aDV5iztWh0a7cu8t5PLUKrVGZVWpdagUKlxsJObXVdz+UEoUfGJtK9heTdnI30bPHv1i3TrdGh1OhRqDXKZxPlHUXi5OFLO35NUlYbZx67i7mRPKRNTirxdHCnq6cr6S/cYVr9ixjTFcmaOYDGZdlN5r1JnNGoqTfZ5n108OUm/vs6/TP+5hxF4OztSLtCbVJWa2Ycu4eHkQCkz63a/23maB9HxzH+jfY7XuWVo6/T6BtouTpQL8NJrH76s1zYxdbpP7XJ0rFIy4/OK0zcJi0vi8045GHGWZJnqjAzk+vqSsmEuyF52pF0HvU/a0a1m1/vK/IuijQkHO3scG3VCmxSH5tGd7NNuzt4kpTB6/iYGNq5O/0aW146Zi8fic/+PlDt9vdNmqneReDk7pj97DbOPXMHdzLNPTFNyLSyaOsUDkcsk9t58xMUnUXzSrm7e054Le9ejflX+OXaJxhVLYS+XserwBZpXLpOttnHa82ZzXnD5aTRRSSm0q5D9bs5Gaf+PlbuYpBRGL9jCwEbV6N/Q/BrLF3y76QgPomJZMLp7rtbVGvaxsrQ1S7YzsGEV+te3/NK2R+0K/HP6Bo3LBemf/clrNK9g/sQFI21b9nHS78Fsuddosy33wWHPKOHvjVanY92JqzxLTKaHhRfdhs89S/9qyQ4GNshZvgNcfhxJVEIK7XPxskedSTtzW3P+cZTe3mTUuWu4O1pq50MYVr9Cejv/kHI52MsiP8pdQqqCa0+jqFuyMHKZjD3XQrjwMJxPuuR8AE2QOyx0nf/TSLpX5G5LklQFqARc1+l0t3N7fdqGPwxubO7+c8w7aLhx0dut6yBJEnMPnMfZwdDAn/5qFACLDl/k4sNw5phYkzN3/zkeP08weY6vzifAMOy2w8zfcdTgu7FdmjOuW0tO37rPj2t2Ef48nqol9ef4vtip+dvV+tGVqUNe6o/7cxVVSxZlfPdWJtMuRRnu1D334EXmHb5kmPaWtZAkmHvoknHapw7Xp/3IZS4+imTOMP160tvhMfyy6zR3Ip4jl0nUL1WEz7o0wtfN2fAGskzen3voIvOOXDbUb1FTn/eHL+GcpXE9PWWYXv/oFS4+jmDOG3r93/eeZePFYNQaLbVLBPJZp0YUN2FEk24FZ/zfpVV3XFoZHhuRcmgLKYe2IvcvglvPN7ELLIYmLoaUAxtR3tLnk3PzztiXKE/CyhkW48mMW0NDp2Du7pPM22M47f7tDo0Y17Exnb5ZSFis4V5tO78YRVEfTxbtO8PF+0+ZM/blrrffrNtHmlLF929ksz4ryzTQgnz22uRkg7jmHb/G/BOGewiMbVKFMn6ezDl2jcjEVBzt5FQt7MO7LWpQPn3TkcWnbnDxSTSz+7cA4E5kLL8cuEhwVBxymUS94oF82q4Ovq5OBnHLggwb67k7jjFv13HDtHdqyrguzeg0bQ5hzw13jNz59TiK+nqxaM9JLoY8Yc47AyzGkxldpOHb6blHLjP/qOGU7LHNa1DG34s5hy8RmZCCk72cKkX8mNi6dkYHa9Hxq1x6HMXswW0Ji0ui818bcJDLMs5TBZjapRFdqmU6akJn2IrMPXKF+ccMp4mNbVZdr33ksqF2q1qUT9/Qb9Hxa1x6EsXsQcY2be6RKzyJTTR5jq8qxvB9pGPDDjg2NFyHrji9B8XpPQbfuY2cSuq+tRnn+Dq11h8jk3ZQP4vGudMb2JXUd1jVj26TdmgTulTjnUEdSr3Mi7l7zzBv/1mD399uW19f5vedxTnLBkmnv31bn/aD57j4IIw5b/XINp5x7bM4/i6G02ALutxpwwxHwOcdvcr849cMvhvbtBpl/D2Zc+QqkYkp+npXxJd3W9WkfPr6zcUnrnPxSRSzB7bmeXIa7647xMOYBGSSRClfD95pUYOGWZYByfwNp43ml71TaTT8vOkQuy7cxsFeTvuaFfigW3Mcs7QV2gjDti6/bA7At7vPkaZW821X851fme/LGUcFXu6y1vl9Z5m333Ba7ttt6yGh76sY2frpY9P1z3PxQThz3upGWGwCnX5ciYOdPOM8U4AverekS60sL1xVKkP9A+eZd+iioX6r2vp2/uAFY/1pI/X6hy9x8VEEc9KP2VFptPy84yS7rt7DwU5O+6ql+aBDA8Nnr9UYxFXgfRxXw+nHc/ecYt5ew53m327fgHEdGtHp28WEZdk9feeUEfpyv/8sFx+EMmd0LwB+33aMjWeu6/s4pYvwWa9WFDd1akfKy7Z27sELpvMdfd/LKO3pxxYtOpKe78NeHm/0zZZjpKnUfN/XdN8SQJtoWIfnHb/O/JNZ6lzj9Dp3PEuda149U527ycWnz5jdL1M7f/CSYTvftrZxO+9h+KIuP8rd8+RUJqzYzYNneu2Sfl6Mb1uXRmWN11c79fvQbN4UAPk79cWGzN+bfwPqY9sXbL68MsfXWrI6vgVNVse3IMnq+BY4Bblq3QSZHd+CJqvjW+BYuf7RGrI6vgVNVse3oMnq+BasuG1fn2Z1fAuazI5vgeOSPxsd5pWsjm9BktXxLWiyOr4FTWbHt8CxcZ3P6vgWKFkc3wLH9dVu8GaRFNu1tVkd34Imq+Nb0AjHN3+Ytyf/HN+3OxRsvrw25/gKBAKBQCAQCAQCgcB2/EfHTHOEcHwFAoFAIBAIBAKBQGARG08MtYpXuauzQCAQCAQCgUAgEAgENkeM+AoEAoFAIBAIBAKBwCL5uz9UwS59Fo6vQCAQCAQCgUAgEAgs8jqv8RVTnQUCgUAgEAgEAoFA8D+NGPEVCAQCgUAgEAgEAoFFtDY+jc0ahOMrEAgEAoFAIBAIBAKLiKnOAoFAIBAIBAKBQCAQ/EcRI74CgUAgEAgEAoFAILDI63yO73/W8VUFlbetvpOHzbSfFmtnM20ATynWpvqu1Z7bTFsX/dBm2gBaLz+bae+z72EzbYCy3s9squ8XFG4zbQdlks20ARxS42yqH+sZZDNte3WqzbQBnpW2nb23Q20zbQCf4qE21U9wDrCZtkdqlM20AeyVyTbTTnArbDNtAAnb9trtNEqbadva3qU4etlUv5hN1f93eJ2nOv9nHV+BQCAQCAQCgUAgEPx30OXrkG/BnuMr1vgKBAKBQCAQCAQCgeB/GjHiKxAIBAKBQCAQCAQCi4g1vgKBQCAQCAQCgUAg+J/mdV7jK6Y6CwQCgUAgEAgEAoHgfxox4isQCAQCgUAgEAgEAotoX+O5zsLxFQgEAoFAIBAIBAKBRV7nqc7C8RUIBAKBQCAQCAQCgUVeZ8dXrPEVCAQCgUAgEAgEAsH/NK/tiO+D0Eh+Wr6BWw+f4u3uynuDutGqbnWTYZ9GxfDryk1cvB2CvZ0d3ZvX571B3azSD4+K5pdFq7gefB97OztaNazD+yMGYieXm73m2zlL2XHoBOv+/I6gwoFW6QOEhz7hwwlv0rBJCyZ+NM3o9+++/IhbN65mfFarVRQpWpzfZy+3WvvQkaOs+nsNUc+e4ePtzUcfvEe1qlWM7zE8gjnzF3D1+g3s7e3o0K4to0eOsEo7POoZvy5YyY3ge9jb29GyYT3eGznYKO+jY+P4ed4yboc8JCY2jn/n/kLhAP9caa05dIatJy9zNyyKjvWqMv3NXhm/nbl1nx/+2UHE83iqlirGN2/2pIivl/H9Po+j91ezDb5LVaiY1Lc9w9o1zl5//0m2nbjIvacRdGxQg69H9Xupf/MeP63cSsTzOKqWDuKrt/pSxM/bZDxh0bF8tfhfrt9/QiEfLz59ozsNqpTNRU7Ayb2rOX9sMxFPgqnZqAv9x35vMtzlUzvZt2EWifHR2Nk7UKF6M3oMm4KTi1uu9MwRFvqUSeNH0KhJC977eKrR78lJiSxZ8BcXz58BoGOXngwYYl2Z6zhguMFnhVJJj07teX+Mcby7Dhzm51nzcXRwyPjuh6mfUKuacf3IDba0OQ9CI/lxxUZuPQzV29uBXWldt5rJsE+jYvhl5WYu3rmPvZ2cHs3r897ArnnW7jhgmMFnZXrevzdmpFHYA0dPsOyf9TyPi8Pe3p4GtWsyccwIXF1c8qyfU3sDsPfYKeat+pf4xETqVa/C5+PfwsPdunI/5dMPCL59E3m6no+vH3MWrjAKt3XTenZs20xCfDxOzs40bd6SN996O+O6vPLZpx9x5/atjHh8ff2Yv3CJUTiVSsn8eXM5feoEarWGSpUrM37Ce/j5+eVZOzwqml8XrOB6cAj29na0alg3G1u/nNshD4mOjWPD3F8oHJB33cwcPnKE1X//TVSUvq37cNIHVK1a1SjMylWriY2Nxd7ennp16zJu3NtWlrucpf3EhSus3LiD+4+f4uBgT5M6NZg4YhCuzs551gZ4EBrBz0vWcevBY7w93Jg4pBet6tUwGfbvnQdZvnUfCqWK1vVr8tlbA3Cwt8+zdpd+Qww+K5VKunfuwLtjR5kM/+/mbazZsBmFQkHzJo14750xedbv3O8Nk9oTx75lFPbBo8fMXbyc4Hv3SUhM5OC2f/OkmZkOAw3bFIVSSc+O7Xh/zJtGYXcdOMJPsxcYtDU/TvmYWtUq51k/PCqaXxauMih3ptqZExeusGLTTu4/Ds0od++9OcDqcgdw8OhxVv6zjqhn0Xh7e/HJ+xOoXsUwTUqVikXLVnH4+AkUCiWtmzdl/JiR2Nm9tm7Na4X2NR7yfS1LiFqj4cMZS+jduhGzP3ubi7dC+OD3xaz+thAlCgcYhFWp1Yz/aR792jbhh/FDkclkPI54ZvU9/LJoFd4eHmxb8BtJySlMnP47G/ccon/ntibDX7l1l9B80M3Monl/UKZcRbO/T/n6V4PPX372LlVr1LZa98KlSyxeupwpn31MhfLlef481mQ4lUrFZ1On0a1rZz7/7BPkMhlPQ0Ot1v91wUq8Pd3ZsmgGSckpvP/Nr2zafZB+XdoZhJNJEg1rVWNY766M/fzbPGn5e7ozqktzTt0IIU2lyvg+NimZD+etZdqw7rSoXp7ZWw7x6cL1rPxstFEchX28OPXnlIzPodGxdJv6J21qVbKs7+XBqG6tOHX9LgplJv3EZD6etYovRvShec2KzNm4j8/m/sOKL94xGc/kef9QvUxx/vzgTU5cvcPHs1ez5ccP8fbIeafcwzuANj3GEnztBCqlwmy4kuVr8c6Xq3F190aRlszGJV+x59+Z9Bg2xew1uWHR3D8oW76C2d+XLpyFIi2NeUvWEh8fy1efT8I/IJDW7TrnWXP32pcvi1JS0+j95lhaNWloNnyVCuWZ9ePXedYzha1sjlqjYdKMpfRp3Yg5n47lwu0QPvh9CWWmT6JEYcMXSSq1mnd+XkD/No35ccIbyCTr7e3utS+dPH3ej6GlmbyvVqkCf/30DV4eHqSkpvH7nAUsXrWWiSZeUOSUnNqb+49D+Xnecn79/APKly7Bz/OW8evCFXwzyXSdzA1jxk2kXccu2Yap17Axrdt1ws3NjcTEBH7+7iu2b9lIj979sr0uJ7w9bgIdOnbKNsyWzZu5ffsWf82ej6urK3/9OYP582YzZeqXedb9dcEKvD092Jqe9+998wsbdx+kvwlb36BWNYb27sLYz7/Ls15WLl68xJIlS5k8+bP0tu65yXBVKlfm919/wdPTk9TUVP78axbLV6zgnbffzrN2TtOenJLCm327UbNyeZQqNV/NmM/sFev4ZOxwMzFbRq3R8NGv8+ndtimzpkzg4s27TPp1Pqt++JQSWV6gnbpyk+Vb9jFn6kT8vT35+PcFzP93J+8O6pFn/R3rV2f8PzU1lb7DRtGiSSOTYc9dvMQ/Gzbx27df4evrw5ff/czy1WsY/ebQPGnvXL/KQLvPsNFmteVyOS2bNqZH5w588d3PedLLyp41SzP+n5KaRq8R42jZpIHZ8FUqlGP2D1/lizbALwtX4e3pzraFv6e3M7+xcfch+ncxbGeSUlJ5s09XaqWXuy9nLGDWivV8OnaYmZhzxvlLV1i4bCVffPIhFcuXJSbWdP9yzb+buHMvhEWz/kCr1TJ1+g+sWvsvbw4ZaJW+IGfotLa+g7zzWk51fhgWxbPYeIZ0bIFcJqNelXLUKF+SnScuGIXddvQc/l4evNGpJc5Ojjg62FOueBGr7yEsKpo2jevi6GCPr7cnDWtW5f6TMJNh1RoNvy35mw/fGmS17gtOHNmPq6sb1WrUyVH4qMhwbt28SovWHa3WXrnqH4YMGkClihWRyWT4+fni5+drFG7v/gP4+vrQt1dPnJ2ccHBwoHSpUlbrh0c9o3Xj+jg6OODr7UWDmlV58MTYofbx8qR3xzZULJt3zTa1K9O6ZiU8XQ3fYh64eIvSRfxpX6cKjvb2jOvWkuCnkTzIQSd/26kr1C5XgqJmRmcN9OtWpVXtKni6Go4cHLxwg9JFAmlXrxqO9va83bMtd5+E8yA8yiiORxHPuP0ojLd7tsPJwZ42datStlghDly4YVE/M1XrtaNK3ba4uHllG87LtzCu7i/TJpPJiYl8nCstcxw/cgAXC+X+/NlT9Ow7CEcnJwICC9OmfWcO7tuZL/oAR0+dwcvTk+qVzb90ehXYyuY8DI/iWVwCQzo2Ry6TUb9yOWqUL8UOU/b22Pl0e9sCZ8f8s7cvOHrqDN6enlSvbPqlUYC/H14eHhmfZTIZoRERVmnm1N7sPXaKpnVrUrNKBVycnRg1qDdHzlwgOTXVKv2cUrhwUdzc9C+ydDodkkxGeLj1LxpzSmRkBLVr18Hb2xsHBweaN2/B40ePrIozLCqa1o3rZSrz1cza+j4dW1PJCltvipWrVzF48KBMbZ2fyRFsf39/PD09Mz7LZDLCw8Kt0s5p2ts3a0TDWtVwcnTEw82V7m2bc/X2Xau0H4ZF8iw2nsGdW+v7WFUrUKN8aXYeO2cUdsfRM3Rv1YgyQYXxcHPhrd6d2H7ktFX6mTl68jTenh5Uq2J6FHPvgcN0ateGkiWK4+7mxhsD+7LnwOF80j6Dt6cH1auYtjfFixWlc/s2lCwelC96WTly6ixenh7UKMC2Rt/O1DNsZ54atzMdmjWkUaZy16Ntc67euWe1/vK/1zJ0YD8qVyyPTCbD39cXf1/j/uWps+fp3a0zHu7ueHl60qtrF3bvP2i1vuB/n9fS8TWFTgchT40bmmshjyjs78PEXxbQZtwXjPluNvfMdBZzw4Au7dh34hxpCgVRMbGcvnyNhjWrmgy7Zvs+alUqT9kS+WMcU1KSWbt6McNHTcjxNUcO7qZS5eoEBBa2Sluj0RB87x7x8Qm8OWoMg4eNYNbceSgUxiOAt+/cITAggM+nfUXfQUP46LPPefDwoVX6AP27tufAiTOkKRQ8i4nl9KVrNKhletrlqyIk/BkVihXK+Ozs6EAxf29CwrJ3fHU6HdtPX6FbI9NTxnLK/dBIyhd/+SydHR0oFuDL/VBjxzckNIqi/j64OjtmfFc+qBAhoZFW3UN2PLhzgWmj6zNtVD2undtH047WvQUGfblfs2oJI0aPtxg28ywcnQ4eP3xgtf4Ldh88SodWzZAkyWyYu/cf0v2N0QwZ9z7L125ArdFYrWtLm2OETkdIqLFDee3eI4r4efPurwtp/c40xnw/h7tPrHMAMrPn4BHat2qebd5fvXmbLoPepPPA4Rw9dZa+3fI+0g85tzcPnoRStuTL/C5WKAB7OzuehFlfz1YuW8TQgT357MN3uXb1stlwRw4dYFCfrgwb2IuH90Po0Mm6JT0vWL5sCYMH9uXjD9/n6tUrJsO0b9+RWzdvEBMTQ1paGocPHaRO3XpW6Q7o2o79J85m5P2pS9doWEC2XqPRcPfuPeLj4xnx1ijeGDqM2XPmmmzrAK7fuEHvvv3o1acvx0+coGfPvI94Qt7TfvlmMKWCilqlbQqdTmfyRdv9pxGUK/FSr3zxojyPTyQuMSlfdPcePEy71i3N1vmHj59QplTJjM9lSpYkNi6O+IREq7X3HDxMu9YtsrU3r5Ldh47SoaWltuYR3YaOYfA7k1i+dqPVbc2ALm3Zd/zsy3bmkvl2JjOXbgVTuph1Lzn1/csQ4uMTGDpmPAPeHM2f8xaarXO6TA29Dh3PomNISk626h4EOUOn0+XbX0HzWjq+JQsH4OPhxoodh1CrNZy+doeLt0NIyzQV9AVRz+PYe/oSA9o3Y/dfX9K0ZiU+/GMJKrXaqnuoVakcD56E0nbYu/R4+2Mqli5Ji/q1jMJFRj9n874jjB5gXSOYmTUrF9G6fVd8/QIsB07nyME9tGyb/VS1nBAXF4darebYiZP89vOPzP1rJvdC7vP3mnVGYZ9Fx3D46DF6du/GPyuWUb9eXb785jtUKuPnlBtqVq7AgyehtH9jHD3HfEDFMiVpXt/6Kdy5IVWhxC2TIwng5uxEcpr5KcAAl+49JiYxiXa1874GByBFocTN2SlH+ikKhXFYFydSLNyrNZSqUIdvFp7l8z8P0aLzCLz9rO+I/bNyMW3ad7FY7mvVrs+m9atJTUkhPOwpB/ftNNtw5paIqGdcuXGTjq1bmA1To0ollv31C5tXzOebTydx4OhJ1mzaZrW2rWxOiULp9nbnYVRqDaeu3eHC7fukKZTG2rHx7DlzmYHtmrLnz2k0rVGJD2cstdreQs7yHqB65Yrs+GcZ65fMZUCvbhTK5br+rOTU3qSmpeHqYjgzxNXFmRQrR3yHjxjD/CWrWbJyHe07deW7r6eYHclt0aoN/2zYzpyFK+jQuRteXpZnlVhixIi3WLRkOctX/k3HTp2Z/vU0wsONHaAiRYvi5+/P8KGD6N+3J0+ePGbQ4CEmYsw5L/K+3Rvv0GPMJCoVoK1/0dYdP36CX3/5mdmz/iIkJIR/1qwxGb5qlSps/Hc9q1Ysp2+fPgQGWLePR17SfvbKDXYdPsHogb2yDWeJkoUD8fZ0Z+W2/fo+1tVbXLx1jzSlcZ1PSVPglmldp1t6HciP9iUyKoqr12/SvnVLs2H09e7ljCjX9NlRqVbWu4ioZ1y9fpMO2Wi/SvT27hYdWzc3G6ZGlYos+/Mntiyfx/RP3mf/sVOs2bTdKt1alcvz4GkYbYdOoMfYj6hYxnQ7kxl9uTvJ6IE9rdKOjYtHrVZz9ORpZvz4LQtm/sa9+w9YtdZ47XS92jXZuG0HcfHxPI+NZdM2/awuhYl2SZD/aLX591fQ/KccX0mSxkiSdF6SpPNLN+02G87OTs6v74/kxOWbdHj3S1btOky7BjUI8PY0CuvoYE/N8qVoUqMS9nZ2DO3cirikFB5YMdql1Wr54LsZtGxQm4OrZrN7yQwSk1OYvcq4cs5YtoaR/brh5pr3TS4y8+D+Xa5dOU+XHv1zfM2tG1eJi31OwyYtrdZ3cNA7ez26dcHXxwdPTw/69OrJ2fPnjcI6OjhQtXJl6tetg729Pf169yIhMZHHT57mWV+r1TJp+m+0aFCH/X/PZ+eyWSQmpzBnpbHj/SpxdnQgKUvDnpyqwNXJ0cwVeradukybWpVxsRDOEi6ODiSnpmXRTzOp7+LoaOQQJ6cqrL6HnODpE0j5Gs34e9aHVsXzIOQuVy9foGtPy+sVR749EQdHRyaMHsKP06fQtEUbfP2sc35esPfwMapVqkjhQPPOd5FCgRQODEAmk1GmZHGGD+jDkZNnrNK1pc2xt5Pz23tvcvzyLTq8+zWrdh2hXYMaBPp4GYV1ss9qb1vq7W2Y8UyE3LL38FGLeZ8Zf18f6teuwTe/zsyzZm7sjbOTEylZ62RKGi5WbvZSvmIlnF1csLd3oHXbDlSqXJUL57IvT0WKFqN4iZLMnzPDKm2AChUr4ZKu36ZteypVrsL5c2eNws2d8xcqlYp/1v7Lhk1badS4CV9+kfd1/Vqtlg+m/06LBnU48Pc8di37i4TkZOasXG9NcnKMQ/qGQd27d0tv6zzp3asX584Zt3WZ8fPzo27dOvzw00951s5L2q8Hh/DVjHl899F4ihcpZDZcTrCzk/PrpDEcv3SDjuMms3rHAdo2rE2Aj/GLFBcnR4O2KCnd4cyP9mXfoaNUrVSRwoXMv0RwdnIiJSUl43Nyil7f2cp6t+/QEYvar5I9h49TrVIFilhoa4pkamveHNCLw1a0NVqtlg++/UPfzqyew+6lM0lMMt3OvOB6cAhfzlzAdx+Os7rcOTrq61zPrp3w9fHG09ODvj26cfbCJaOwQ/r3oWzpUoyZ+BETP/6cJg3rY2dnh7eXsR8gEGTmlTi+kiR5SpL0oyRJtyVJei5JUowkSbfSv/Myd51Op1ug0+nq6nS6uiN6Zb8WtVzxIiyYOoEDc79l1idjCY16TpUyxY3DBRVBIn+nqSQkJRMR/Zy+HVvjYG+Pp7sbXVo14dSla0Zhz1+7xayV6+kyahJdRk0CYMyUH9hzLG/G6ea1SzyLjGDciL6MeqMHWzet4fTJI3zynvEOpy84cmAXDRo1x9nZ+o6wu7sbfn5+BlNvzOVuqVIlzf+YRxKSkomMjqFPp7aZ8r4ppy5etXxxPlKmsD/BT1++PElVKHn67Dlliph3sNKUKvZduEl3K6c5A5QuGkjwk5dTTV/oly5q3EiWKRpAaNRzklNfOr/BT8IpU7RgGnStRk1M1BOr4rhx7TLPIiN4+83+vDWkF1s3ruX0ySN8NNF4l093dw/e//gLFq/exMy5y9HptJQtnz9rpPYcOkqHbN7Am0KSsHo6jy1tDujt7cIp73Bw7jfM/mQMoVExVCltPI26bFDh/K7yGew9dIwOFkZ7s6LRaAmLyPtLztzYm1JBRbn78OVa9tCIKFRqFUFF8reeSUiQg+Kk0WiIMDEya72+6fJ8/34Ibdu2x93dA3t7B7p170lw8B3i4+PzpPMi7/t2apMp75txsoBsvbu7u1Fbl9PCrdFoCA/P+xT/3Kb9zv1HfPLDTD5/5y3qVrduNtELypUoyoIv32f/wp/5a/IEQqOiqVKmhFG40sUKcffxy5fZdx+F4uPpjpeVu5mDfppz+zYtsw1TsngQIQ8eZny+/+Ah3l5eeHq4W6W97+AROrTJnb3JT/YcPkbHVrlra5CknJgGs5hsZ1o3Mdu/unP/EZ/8+BefvzOCevlQ7tzd3PD38zXsX5qZ5u3o6MjEt0ezbvlCVi2ai4e7G+XKlEYm+0+N5/3PIqY6G7MOiAVa6nQ6H51O5wu0Sv8uX4bm7j4OQ6FUkaZQsnLHIaLjEujWrL5RuE5N6nAt5BFnrgej0Wr5e/dRvNxdKWVFp9/Lw50iAX5s3HsYtUZDYnIKOw+fpEzxYkZh1/75HSt/+YoVv3zJil/0u1v+8tm7FqeOmKNth+78tWgNv/y1hF/+WkL7Tj2oXbcRU775zWR4hULByeOH8mWa8ws6tG3Dlm3biY2LIzExiY1bttKgvvFarjatWnL7zh0uXrqMRqNh4+ateHp4UDzIOJ9yij7v/dm052B63iez6/AJs2sZFUolKpV+mqVSpUZhYqpWdqg1GhQqFVqdDq1Wh0KlQq3R0LpWJUJCo9h/8SYKlYr5249QrlggpQqZd3wPXr6Fu6sT9SrkfAOWDH2tFo1W+1K/dmVCQiM4cP46CpWKBVsOULZYIUoVNnZ8SxTyp3zxwizYcgCFSsXBCze4+ySCNnVyd7yORqNGpVSg1WrQajWolAo0GuMprJdObCM2Wt/hjo0OZc/6mZStYn4H5JzQrmM3Zi/6m1//WsSvfy2ifafu1K7XiC+m/2oUNiI8lMSEeDQaDRfPn2bf7u30HWj9GuPrt+4QHRNLq8bZp+X0hUs8j4sD4NHTUFas20jTBnWt0ralzYGX9jZVoWTFzsPp9ta4znduUptrIY9f2ts9x/T2tkjOl2WYQp/3z2lpIe/3HT5G5LNoQD9VcPGqNdSubnl9mjlyY2/aN2vEifOXuXzzDqlpChat3USLBnWsOt4jKSmJSxfOoVQq0Wg0HDm0nxvXr1KrjnHe79u9g7g4/Q6oTx4/ZMO6v6lu5S7+SUlJXLhwPkP/0KEDXL9+jTom9MuXq8DBA/tJTk5GrVazc8c2fHx9DTZ9yg0v8n7jnkMZZV6f96bbD4VSlcnWqwx2wc8r7du1ZcvWbcTFxZGYmMimzVuoX9+4n3Hw0CGiovSzGiIjo1i+fAU1a+b9BWdu0h7y+CmTvv2dSaOG0LRezTxrZuXuo9CXfazt+4mJS6BrC+PdhTs3a8CWQ6e4/zScxOQUlmzaQ9cW1tl7gBu3bhMT85wWTbI/8q9d65bs2neQh4+fkJSUzKp1/9LBgrNsieu3bhOdA22dTodSqcxYyqFUKlFauZQL4NrtYH1bk81uzgCnL1zmeZz+xZK+rdlE0/o52/DUFGbbGRP2LuTxUz74bgaT3hpMs7o186yZlQ5tWrF5205i4+JJTEri3y3baVjPOE3PYmKIjnmOTqfj5u1g/Y7Ogwfk230Iskery7+/gkZ6Fd62JEl3dDqdyfNGsvstM4lnd2R7YzP/2crmw2dQazTUqlCaj4f1IijQn4joWPp99hPrf/yUQum75h48d5U/12wjNiGJCiWL8enwPpQplv2UDJWTR7a/Bz94zIxla7j36CkymYw6VSvy4chB+Hh50vqN8fw+5T1qVipvdF2jfqMsnqn51Nli9mSwbvUSIsKfMvGjady6foXvvvqYVf/uzfj9+JH9rF42jzlL1ud4gwZPyfT28S9Qq9XMmb+QQ0eO4mBvT/NmTRk98k3i4uIZNW48i+bOJiB9Xd3xEydZtHQZcXHxlC1bhgnj3qZkCeOR+cy4ppk+MuIFwQ8e8efSv7n38El63lfig1Fv4OPlSdshY/l1yiRqVtbnYZM+bxpdf2LDMvPa0Q8NPs/ddoj5248YfDe2awvGdWvF6Vsh/PjPTsKfx1O1VFG+Gd4zY6fmb1fr13ROHfJyc5lxM1dStWRRxvdobVZf62A4PWze5v0s2HLA4LsxPdrwds+2nLlxj59WbSU8JpaqpYP4elS/jHN8v1u+CYApw/VrvcKiY/ly0Xr9Ob6+Xnz2Rg+jc3z32We/JnTfhlns3zTH4Lu2vd6hbove/P5pNyb9tA1vvyLsXjeDC8e2kJqSgLOLBxVrNqdj/w9wdffKNv6y3jk/9mbt6qVEhIXy3sdTuXn9Ct99+SmrN+iXR5w4dpClC2aRnJxEkSJBvDFiLLXqGHdWs+Knzn6E5tc5C0lTKJj6geGmcpHPohk+4UOWz/qNQH8/5ixdyd5Dx0lNS8Pby5N2LZoyfEDvbM8XdFBa3gjmVdoch9S4bLVn/LONzUfOptvbUnwytBdBgX6ER8fSb/IvrP/hYwpn2NtrzFy7ndiEJCqWLMqnw3pbtLeJntlvwvXbnAWkKZRMMZn3k1g+63cC/f1YtHINuw8dISkpGTc3VxrWqcXooYOyHf2xV2e/FjA39kZ/ju964hOTqFu9ClNycI7vM2fz9jA+Po7p0ybz9OljZDIZxYoVZ/DQEdSsXZcb168yfdpnrNmoX9v25+8/ceH8WdJSU/Hw9KRJsxYMHjoyY8quKezIfu11fHwcX02bytOnT9L1g3hj6HBq1a7D9evX+GraFP7duBWAhIQE5s+bzeVLF1Gr1ZQoUZK3Ro+lQgXzsy18UrPfdTr4wWNmZsn7SaOG4OPlSZshb/PblEnUrKwv8437GB9ZdXLDUqPvMpPgnP0LGbVazbz58zl0+AgODvY0a9aMUSNHEhcXx5i3x7Fg3lwCAgJYtnw5+/cfIDEpCXc3N+rVq8uIN9/Ew8N8P8IjNfvp/zlN+7ezFrPr8AmcHF8+50J+vqyemf2xTvbK7DcBmrl6E1sOnUSt1lCzYlk+frMfQYX8iYh+Tv+PvmXdr1Mp5OcDwOodB1ixdT8KlYpW9Wsw+a2B2Z6jm+BmeZPN32fpN82c/OF7Bt9HRj1j5Pj3WTJ7BoHp/Yz1m7eyZsNmlAolzRo35P3xY7PVtzQu+vus+aQpFHz+4UQj7RHjP2Dp7D8IDPAnIjKKwaMMjysLDPDnn8Vzs43fTpP9C/hf5ixCoVAy9QPDuCOfRTPs3Y9Z8dcvBPr7MXvpavYePkZqmgJvLw/at2jK8P69sm1rLNu7x8xYuoZ7j568bGfeGpzezrzD75+/ry93s5ew8/BJo3L394zp2caf4uiV7e9qtZrZC5Zw4OgxHOwdaNm0MWNGDCU2Lt7guV+9foMf//iLuLh4/P39GDqwH21bWh4hL1Y+7y9C8wHb7JL2CpiyRJFvzuN3Ix0LNF9eleO7F9gPLNfpdJHp3wUCbwLtdDqd6YMnM2HJ8X3VWHJ8XyW5cXxfBZYc31eNJcf3lWpncXwLmqyOb0FiyfF91eTG8X0VWHJ8XyU5cXxfqb4Fx/dVY8nxfZVY6gi+arJzfF81lhzfV40lx/dVY8nxfZVYcnxfNZYc31dJThzfV4l1E4Ktx5Lj+yqxtb2z5Pi+aoTjmz+8zo7vq5rqPADwBY6kr/F9DhwGfADLu9MIBAKBQCAQCAQCgeA/hU6Xf38Fjfn5EFag0+ligU/T/wyQJGkEkP38I4FAIBAIBAKBQCAQ/KfQ2mJxbj5hi+3PvraBpkAgEAgEAoFAIBAI/p/ySkZ8JUkyd96ABNjmUDSBQCAQCAQCgUAgEOQZWxxDlF+8EscXvXPbAf3xRZmRgJOvSFMgEAgEAoFAIBAIBK8IndbWd5B3XpXjux1w0+l0l7P+IEnS4VekKRAIBAKBQCAQCAQCgRGvanOrt7L5bfCr0BQIBAKBQCAQCAQCwatDK6Y6CwQCgUAgEAgEAoHgfxmxxlcgEAgEAoFAIBAIBP/TiOOMBAKBQCAQCAQCgUAg+I/ynx3x3ZTaxab6ZdySbKadkORoM22A87EBNtWvFRRtM23/Iu420wYIUZW2mbYqUbKZNoBSa29T/dOJ1W2mXdwzzmbaAPYuapvqhyZ520zbxV5lM22AQJ7bTPvEkxI20wZoHGRbm5OkcbWZdrS9n820AVydUmymrdA52Ewb4Pwj2+Z9pSLJNtPedsq24129mittql/Mpur/O7zGM53/u46vQCAQCAQCgUAgEAj+O+jEVGeBQCAQCAQCgUAgEAj+m4gRX4FAIBAIBAKBQCAQWOR1Ps5IjPgKBAKBQCAQCAQCgcAiOq0u3/6sQZKkryRJCpUk6XL6X2dL14gRX4FAIBAIBAKBQCAQWOQ/tsb3D51O92tOA4sRX4FAIBAIBAKBQCAQ/E8jHF+BQCAQCAQCgUAgEFhEq8u/P0mSxkiSdD7T35hc3s4ESZKuSpK0RJIki2cjiqnOAoFAIBAIBAKBQCCwSH5OddbpdAuABeZ+lyRpP1DIxE9TgLnAdECX/u9vwMjs9ITjKxAIBAKBQCAQCASC/xQ6na5tTsJJkrQQ2G4pnHB8BQKBQCAQCAQCgUBgEd1/5DgjSZIK63S68PSPvYDrlq55bR3f1OQ4ti+fwoObJ3B286ZVr0lUbdDNKJxOp+PQxl+5fPxfAGo27Uur3h8hSZJV+gv+mMqta2dRpKXh6eVLp17DaN6uV7bX/DLtbW5dO8fCf88gl+c969UqJesXTyf4+mlSkuLxDQyi68D3qVyrmcnwh3es4MDWxSiVadRo0I7+b03Dzt4hz/ovOHdgGWf2LkSlTKVCrQ60H/S1yXijw++xY9knxD57AkCh4lVoO2AqfoXLWqUfHvqETyYMo0GTlkz46Euj39evXszmdcsN7unnWcsJLFQ0z5pd+g0x+KxUKuneuQPvjh1lMvy/m7exZsNmFAoFzZs04r13xuBgb59n/cUzpnDr6lmUilQ8vHzp0HM4zdr1Nhl237ZV7Nm0DKUijdqN2jJk7OfYW/ncU5Li2LR4Kveun8TF3Yv2/SZRo1FXo3BqlZIdq7/n5oX9aDVqiperRY/hX+HhE2iVPkB42BM+nTCU+k1aMuHDr4x+37l5DXu2/0tiQhyOzi40atqGISPHW1XnTu5dzfljm4l4EkzNRl3oP/Z7i9cs+H4EITfP8P3yq1ZpZ8YWaTfQD33CpPEjaNikBe99/IXR7yqVkiXz/+TsqWNo1GoqVK7GmPEf4uvnn2dNtUrJusXfEnxNb+/8AoPoOug9k/Yu7PFdtqz8lScPbpKcGMfMtdfyrPuCRTOmcPvqORTpda5jz+E0M2HrQx/dY93y33kccpukxDgWbrxotTbA559O4s7tW8jlcgB8ff2Yu3CZUbi/Vy1n/dq/sc9kX/6cvYBChYtYfQ9n9y/j9B69ra9YuwMdBpu29Rq1ki2LPyLi0XXiY0IZPGkFJSo0yLPu5E8/NEr7vIVLjcJ9+cXn3Lzx8lmr1WqKFi3GrLkL86ydGVvUuzm/fcmNq+dQpKXi5e1Ll95DadW+h1E4lUrJ2uWzOX18P0qFgkbN2zN09CTs7Kyr81M/e5/g2zcz8t7H15/ZC1YYhbt25RLr/lnB/ZC7uLq5sWDpGqt0M2OpjX+BWqXik3eHk5aawpzlm/NN//zBZZzduxC1KpXyNTvQdqDpcg+gUqZyeONPBF/chUajJqBoRQZOWp0n3YV/TOHWNf2z9/TypWOv4Sb7l2eO7WHLmnkkxMVgZ2dPtdpNGDz6E5xd3PKk+4IaZeS0q2OHu4uEWgN3nmjYckKFQmU6fJkiMro0tMfXQyI5Tcfhy2rO3tbkSXve79O4efWcvm/t7UPnXkNp2b6nUbhlc37g5JHdGZ81ajV2dvbMX3s4T7qC3KH97+zq/LMkSTXRT3V+CIy1dMFr6/ju/vsb5Hb2vP/rCSKf3GLtX2MJDKqIf5FyBuEuHV3Lncv7GTVtCyDxz4wRePoVo06LQVbpd+kzghETpmFv70D40wf89MVYipeuSMkylUyGP3VkJxqN2irNF2g0arx8CzFh2jK8/Qpz69JRls/8kE9+3oRvgKFTd+vKCfZvXcT4qUvw9PZn8W/vsWv9bLoN/sCqe7h/8xin9yxg4PvLcfcMYOP8CRzf/icte31kFNbNM4CeY/7Ew6coOp2Wi4dXs3XxB4ycus2qe1gy7zdKl6uYbZhGzdpk22Dmlh3rXzZkqamp9B02ihZNGpkMe+7iJf7ZsInfvv0KX18fvvzuZ5avXsPoN4fmWb9T75EMG/9lRrn7bdpoipeuSIkylQ3C3bh0kt0bl/Lh1wvw9PFn7k+T2LZmLr2HvpdnbYBtK6Yjt7Pns7+OEf74Nit/f5tCQRUILGZY707tXcGTe5d599vNODq7s2XpNLav+pbBE/+ySh9g6dxfKV3OdD0DqNOgKS3adsHVzZ2kxAT++PFzdm9bT5eeea/zHt4BtOkxluBrJ1ApFRbDXzqxDW0+1ffM2CLtmVk49w/KlDdf53Zs+Zfg2zf4bdZSXFxdmffXryyeN4NPpn6XZ02NRo23byHe/XIp3n6FuXnpGMtmfMSnv2w0sndyOztqNupA0/YDWPSrdWX9BZ16j2R4pjr367QxFC9dwajOye3sqNu4Pa069mf2j5PyRfsFY8e9S/uOFo8npGnzlnz48eR81b5/4xindi9g8KTluHkGsHHeBI5t+5NWvY1tPUCxMrWp12YYm+a/ny/6Y8dNoIOFtH893fBF1ORPP6R6jZr5og+2qXfd+w1n9MQp2Ns7EPb0Id99Po6SpctTqqzhfWz7dwX3793ix7/+RqvV8tv0D9mybgl9Bud2fxhjRo97j3YdumQbxtHJiTbtO9FM0Zp/1+XN0TNHTtp4gG0b/8bD04u01JR8035w8xhn9y6g/8TluHkFsHnBBE7u+JPmPU2X+71/f4FWq2HEF7twcvUk6umtPGt37jOSNye8tDk/f6G3OSWz2JxylWow+YcluHt4k5aawop537Hp7zkMHvVJnrUBHkZombNFQYoCHOygdzN7OtSzZ+tJY89XJsGw9g7sPKPizC0NxfwlxnR15EmUlvDnuXeOuvYdzlvvTs0o9z9OeZsSpSsYlfs335nMm++8tHULZ36NJIn9ev+/odPpct2hfi1LiVKRwu2Le2nR4z0cnFwJKleXcjVac+30FqOwV09tpkG7kXh4F8LDO5AG7UZw9eQmq++haPEyL0fPJAlJgqiIJybDpiQnsnXtQvoNy5+OmKOTC536jcc3oCgymYwqdVriE1CUpw9uGoU9d2QLDVv2pnBQWVzcPOnQ+23OHtls9T1cP7WZ6o374l+kHE6unjTu/A7XT5vOVycXDzx9i+lH2XU6ZDI5sVGPrdI/eWQ/rq7uVK1R16p4rOHoydN4e3pQrUplk7/vPXCYTu3aULJEcdzd3HhjYF/2HDhslWaRTOVOP2tB4lnEU6Nwpw5vo2mbnhQpXgZXNw+69BvNyUPWvWhQKlK4eX4fbftMxNHJlZLl61CxVisun9xqFDb22VPKVmuCm6cf9g6OVGvQiajQe1bpA5w8ug8XV3eq1qhjNkxg4WK4urkD+hkfMklGRJhxHuWGqvXaUaVuW1zcvCyGTU1JZP+mOXQaZLqDlFdslfYXHD9yAFdXd6rVqG02TFRkODVr18fL2wcHB0eaNGvN08cPrdLV27t3Muxd1Tot8AkoyhMT9i6wSCkate5NoSDrZpNkpmiWOichEWWizhUqWpJmbXtSJKh0vmn/F7h2ajM1muhtvbOrJ006v8O1U6ZtvdzOgfpt3ySobF1kMtt0LyIjI7h54zqt27TLl/hsVe+KFS+daYaOBJJEZESoUbhL547RoesA3Nw98fD0pkO3ARzZb52tzw3lK1SiZev2BBayfmZBZnLaxkdFhHHs0B569Mv7C2VT3DizmWqN+uJXpBxOLp406mi+jxMTEULItYO0HzQdF3cfZDI5hYpXzbO2kc2RTLfzPn6FcPd4uYmtTCYjKtx0PzQ3xCfrSMn0flerA18P07MkXZzAyUHiYrB+hPfpMx1RsToCvPNW/4tlTnt6uTdlbzOjSEvl/MlDNG2d/UsaQf6h0+ny7a+geS1HfJ9HPkQmk+MbWCrju8CgijwKPmcUNjrsLoHFXr4xDChWkeiwu/lyHyvn/8CJg9tQKhUUL12B6rWbmgy3YdVsWnXsi6e3b77oZiUxLppn4Y8oVKyM0W8RT+9RtW6rjM9FSlQgMT6G5MQ4XN298qwZHX6XcjXaZHwOKFaB5IRoUpNicXYzvZv4jEl1USpS0Om0NOs6Mc/aKSnJrFu9iC++/5ODe7Jv4C+cPcFbAzvi7eNL+659ad85++nouWHvwcO0a93S7LT5h4+f0Lhh/YzPZUqWJDYujviERDw93POsu3r+95w8tA2VMo2gUhWpaqLchT0OoUa9lhmfi5UsT0JcDEmJcbjl8blHRzxEJpfjV+hlvSscVJEHd4zrXZ0Wfdmx6nsSYqNwcnHnyqntlKtueip+TklJSWb96kVM/e4vDu01drYzc+LwXhbP+ZnU1BTcPbx44613rdLODXvWzaBhm4G4e/rlW5y2TntKSjJrVy3mqx9msH+P+b0jWrfvwtL5f/I8JhpXVzeOHd5Hrbp5n+pqioR0e1fYhL17Vaye/wMnD21DqUyjeKmKVDNj618VK5YtZvmyRRQtGsTQ4SOoVr2myXDnzpxicP9eePv40KVbDzp36W61tpGtD9Lb+pSkWFzM2Pr8ZMWyJSxftphiRYsxdPhIqlWvkW34gwf2UblKVQIDTW0CmjtsXe+Wzv2ZYwe2o1QqKFG6AjXrNDYZTsfLzqNOp+N5dBQpyUm4uFo35XXVsoWsXLaAokWDGDJsFFXNlLv8Jjdt/NL5fzBw2FgcHBzz9R5iwu9StvrLcu9frAIpiab7OBGPruHhU5STO/7k5tktuHoG0LjzBMrX6pBn/ZXzf+DkwXSbU9q8zbl78xIzv3uP1JQkHBydGP/Zb3nWzEzJQBkjOjng5CChVOlYsVdpMlxSKly6p6ZuBTmnb2kI8pfh7S7xMEKbZ+3l837ieKZyX6NOk2zDnzt5EHdPLypUqZVnTUHuyM9dnQua/5Tjm3520xiANz+cT6tupqfqKBUpODobGnRHZ3eUackWwzo5u6c7Xzqr1/kOHTuZIaM+4d6dq9y5cQE7E2s3H9y7yb3bVxg86iNiY6Ks0jOFRq1i5azPqNe8B4FFjUcaFGkpOLu8dLJerP1IS022yvFVZclXR2e9hlKRbNbxff/38ygVKVw/vQlPn7yvs123ciGt2nfF1y8g23CNmrWmTcfueHn5cDf4Jn98PwVXVzeatLB+JCAyKoqr12/y0bvvmA2TmpaGq4tLxmdXV/3/U1NTrXJ8h4z9nEGjPiUk+CrB18+bLHdpaakG63xePveUPDu+yjQT9c7FDYWJeucbWAJP30L8/H4LZDI5gcXK03Xo1DzpvmD9qgW0amf5uQM0admeJi3bEx72hGMHd+Hp5WOVdk55ev86D4Mv0m3oZOKfR+ZbvLZO+5qVi2jdvotF/cJFiuHrH8CYYb2RyeQUL1mat8a9b7X+CzRqFSv/+oz6zbubtHeviiFjJzNo1CeEBF/lznXTtv5VMXzEaIKKl8De3o6jRw7z7ddfMGPWfApnWbvbtHlLOnTqgpeXN8F3bvPjd1/j6upGi5atrdLPWu8zbH1a8it3fN8cMcog7dO//oKZs+YZpT0zhw7sp//Awfmib+t6N2LcJwwf8yF371zj1rWLJteXVq/diD1b11K5Wh20Wi17t68DQKFIs8rxHfbmGIKKl8TO3o5jRw7y3Tef8/tfCylcOO9td07JaRt/9uQRtFot9Ru34MbV/FlT/wKlIgVHp5z1cRJjI4gOC6Zczfa8/f0xwh5cZuOcsfgWLotvoby9oHvRvwy5c5XbZvqXAOUq12LW6qPExkRxdN9G/PzzZ+T9YaSWL5el4eEC9SvZEZtk3tG5ck9Dn+YOdGusv8fNx1XEJ+fdMRr+9qcMHf0R9+5c49b1Cxb3pDlxaAdNWnW2uk8vyDmvs+Nb4HORJEnaZe43nU63QKfT1dXpdHXNOb0ADo4uKFKTDL5TpCbh4ORqOmymjrkiLQkHR5d8qyAyuZzylWsRGx3Fod3/Gvym1WpZNf9HBr/1Ub5tLmMU/+zJyO3s6Tvic5NhHJ1cSMuUV2mp+rxwcjbOq+y4cXYrv79fi9/fr8W6v0Zh7+iCIu1lvMp0DQfH7ON1cHShVrNBbF/+KckJMbm6B4CH94O5fuUcXXoMsBi2WPFS+Pj6I5PLqVCpGp269+PMiUO51jTFvkNHqVqpIoULmd+sydnJiZSUl2uOklNS9d87O1utL5PLKVepFrExkRzZs97odycn54xnDZmfu4tR2Jzi4GSq3iXjaKLebVsxHbVKyeezTzFtwUUq123Lit8s7jlglof3g7l2+TydewzM1XWFiwRRrHgplsz9Nc/aOUWr1bJp2XS6D/08X+u7rdP+IOQuVy9foGvP/hbDLprzB2qViqVrtrN64x4aNG7Od9M+tkr/BVqtlpWzPtfbu5Gm7d2rxLDO/Wv5gnyiQsVKuLi4YG/vQJu27alYuQoXzp0xCle8eAl8ff2Qy+VUqlyFbj16cfL40VzrXT+zlV8n1uLXibVY++coHJxcUGay9S9sgKn2Nr/JmvZKlatw/txZs+Fv3LhObOxzmjRtbrW2revdC2RyORUq1+R5TBQHdm0w+r1HvzcpWbo8U94bytefjKJOg+bI7eysdrzLV6yMc3ret27bkUqVqnLRRLnLb3LaxqelpfL30jm8Oeb9fNG9eXYrMz+oxcwPavHv7FHpfcec9XHsHJyQye1p1HEccjsHgsrVJ6h8Ax7eOm7VPcnkcspVrkVsdCSHd2dvc7x9A6haqzHzf8/9Gv+aZeV8M8KJb0Y4MbKjoZOZkALBTzQMbmPa+fT3lBjcxoF1h5VMWZTG7+sVtKhhR8Ug69wLfd+6JrHRURw0Ue5fEPMsglvXL9KklZjmLMgZr2TEV5Ikc4vAJKCmtfH7BJZEq9XwPPIhPoElAYh6ehv/IsbruvyKlCPq6W2KlqoOQOST2/hl2QArP9Bo1UZrMNJSk3kYcpO5v+kNkVarXwPx4ajOvPPxT5SvnPdpGTqdjjXzp5EYH8OYz+YitzP9NrBQsbKEPbpDrUYdAQh9dAd3T99cj/ZWqd+dKvVfTpvbuvhDnj29Q6U6+k1Hop7extXDz+xor+G9a1ErU0mKj8TVI3fTv29eu8SzyAjGj9DvZJyWlopWq+Hpew/5cabxbp8GSFK+rSfYe/Awg/pmP226ZPEgQh48pGUz/TSd+w8e4u3lZdVob1a0Go3JtT9FipfhycNg6jZpD8DTh8F4ePnmebQXwK9QSbQaDdERD/ErVBKAiMe3CShqXO/CH9+iXd/3M9bENmz7Bgc2/kVyYiyu7rkfJbp57RLRUeFMGKnP8xfPffLjN/lh5rJsr9VoNESGG6+Ny28UqUmEPrjO6ln6jY10Wv1Ur+8ntuKNd/+gVMW8rUe3ddpvpNe5cW/2M9D/eOJDfvlzsUHYhw/uMWjoKNzdPQDo3K03a1ctJiE+Dg9Przzfg06n4595ens3dvIcs/auIDBX5woKCYmcmDFJksiLtavaoDtVG7y09VsWfUjU0ztUqmto6wtimrMx2dvwg/v30qhx03x5uWjremcyThPlzsHRieFvf8zwt/UvmA7u3kSpMhXzf421JBlMqX5V5LSNjwh7wrOocL76VD/rSq1WkZKSzNg3ujH9twUEBBbOlW7l+t2pnKmPs33phzwLvUPF9D7Os9DbuLib7uP4F6lg9F1+Dj5qtRqL61wh77bp8j0Nl++Z34VZJklm1/gW8pF4Fq8j+Km+vYuO13H7sZYKxeXcfpL36c4v0GiyT/uJQzspV7E6AVac1iHIPdr/yHFGeeFVTXU+BxxB7+hmxcvayB0cXahYqx1Htv5Jl2HfEvnkFsGXDzD8M+Nt9Ks16sGZfUspU7UFkgRn9i2lbus3rNJPiHvOrWvnqFG3GQ4Ojty8eoYzx/YwdpLhzpLOLm78vvjlduvPoyOZ/skwvvx1lcGGBHlh/eJviAy9zztTF+Hg4GQ2XL3m3fl77hTqNO2Kh7c/+zbNp36LnlZpA1Rt2IOdKyZTuX433DwDOLlrLlUbmnYEH9w6gYubN/5FK6BSpHJs6wycXDzyNAWoTYceNG7+8izrbRv/4VlkOKPGG28kdP70MSpWrYGrqzshwbfYvXU9A4fnfdTxBTdu3SYm5jktmpheb/WCdq1b8vOMWbRp2Rw/Hx9WrfuXDm1a5lk3Ie45t6+fpXqd5jg4OHLr6hnOHt/NqA9+MArbsEVXls36kgbNO+HlE8CO9Yto3Mr4uK/c4ODoQuW6bTmw8S96vTWd8Ee3uXXpIGOm/m0Utmipalw6sYVSFetj7+DEmYP/4O4VkCenF4yf+/aNf/MsKpy33jEeTTy4Zyt1GjTF08uHp48fsGX9SmrUrm8ULjdoNGq0Gg1arf5PpVQgk8sNRnadXNyZ8tfhjM9xMRHM+nIAE6f/i6sV9d3WaW/XsTtNmr9c67Z14xqeRUUwevyHRmHLlqvIkYN7qFK9Fo6OTuzesRkfXz+rnF6AdYumExn6gPFfLMzW3ul0OtQqJRq1fvdRlVKBJEl5Pr5NX+fOUb3OS1t/9vhuRpuocy+01Wp1hjaSZNURYklJSQTfuUXVajWQy+UcO3qYG9evMXrseKOwp0+doGrV6ri6uXE3+A7btm5i6PC38qz9gqoNe7Bj+WSq1O+Gm1cAJ3fOpVoj8y/91ColpDtIGo0KtUqB3M4h17OszKV9zFjTy0sUCgXHjx3h86lf5UrHHLasd/Fxz7l59Ty16jXFwcGR61fOcfroXt75aLpR2OcxUUhIePn4EXLnOpvXLWH0u1PyrA2QnJRE8J2bVKlWE7lczvGjB7l5/SpvjZ1gFFar1aJWq1Fr1KDTH/EnSZLBsVq5IadtfFCJ0sxe9nKzqeBb11g673d+mLkUDw+vPGlnpkr9HuxaOZlK9fR9nFO7zfdxipWri4d3Yc7snU+D9mMJf3iFx8FnaN4z97NdTPcvdzN2krHNOX1kJ+Uq18LXvzDRUWFsXD2bStXq5VozKzXLynkYriUuWYeXm0SHenbcCzXtxIZG6/DzlChTREZImBYfd4mKxWUcuZL7Uw0S0st9zfRyf+PKWU4f28u4D781e82JQzvp0mdYrrUE1vE6T3V+VY7vLWCsTqcz2kVKkiTrt5wDOg75ku3LPmfGh41xdvWi45Cv8C9Sjsd3z7Pmz9F88tclAGo3H0jcsycs/Frf6a/ZtC+1m+du6pIRksSh3f+yYt736HQ6fP0LMWjkh9Sq34KYZ+FMndiPb/9cj69/YTy9X25wo1LpNwfw8PKxairk82dhnNy/Hjt7B74Y2yLj+/6jv6RMxTr88GF3Jv+2FW+/wlSq2ZTW3Ucya/oIVEoFNeq3o1M/405TbildpTn1243inz+GoValUb5WB5pm2rBq0TddaNRxLFXqd0eRksD+tdNJjIvEzt6RwiWr02/CIuzsc78ZhaOTE45OLzu+Tk7OODg44OHpza3rl/nxq49Y/u9+AE4e3c+8md+jUqnw9fOne983aNHG8pEglthz4DBNGzXAxcVwVCEy6hkjx7/PktkzCAzwp36dWgzo04MPp3yJUqGkWeOGDB+S97InSXBk93pWz/sOnU6Hj39hBoz8mJr1WxLzLJyv3uvDVzM34OtfmKq1m9Ch53B+mzYGlVJB7YZt6DZwnLVJp9uwaWxaPJUfJjTFxc2L7sO/JLBYOR7eOc+K38YybcEFADoN+pjtq77nj086otGoCChajiFWHGVk9NydnbFPf+63b1zmx68+ZNn6AwAE37rK2lXzUaSm4u7pRcMmren3xmir0n1w8zz2b5qT8fnSiW207fUOdVv05vdPuzHpp214+xXB3evlebUv6rubp69V9d3WaTepb++Ap6cXN69f4fsvP2HVhj0ADHvrHRbPn8m7owejVqspXqIUH08x32nJCZnt3dQxLTO+HzB6GqUr1eGHST2Y/PsWfPwK8/xZGN+82zEjzEdD6+LjX4QvZ+3Jk7YkSRzZvZ5V6XXO178wA0Z+RM10W//le335eua/+PoXJuZZOJPffnmm9TsDG+HrX5gf5+/Ic9o1GjWrViwl9OkTZDIZRYsF8fkXX1O0WDFuXL/G19Mms26jfrOxY0cP89eMXzPsXZ++A2nTtn2etV9QpmpzGrYfxerf9ba+Qq0ONOv20tYv/KoLjTqNzRglXvBlR+Jj9KOda2fqHe9x3x3Ay69YrtO+csWyjLQXKxbElC++ykj7V9M+Z/3GlxsfnT51AldXt3w7xsiW9U6SJA7s2sjSuT+h1WrxCyjMG6M+oE6D5kQ/i+DT8QP5afYa/PwLERUeyrwZX5MQ9xwf/0AGDBtPtVoNrUq7WqPm75VLePr0cXreF+ezL6ZTtGgQN69fZfqXn/LPBv2qtZvXr/LF5JfHIw7o1YEq1Wrw7Y8z8qSd0zZeLrfDK9OGoa5uHkiSzOA7ayiV3sdZN1Nf7svV7EDjLi/L/dLpXWjQYSyV63dHLren59g57Pl7Kmf2LsTDpwidh/2cp5f7kiRxePd6VmayOQMz2ZwvJvZl+p96mxP25D7/rvyT5KQEXN08qFa7CX3esH5TtUBvic71HXF2hFQF3H6iYffZl0cZjezowIMILYcuq3meqOPfIyq6N7bH200iTanf7OpcXs7xlSQO7t7A8nk/otXq8AsoxJBRk6jdoDkxzyKYPGEAP8xai6+/fuO6e7ev8jwminqN21iIWCB4ifQqtpKWJKkvcE2n090x8VtPnU632VIcK44UwJyabCjjn2Q50CsiQZG/uxPmlvBY200jBKgVFG0zbX9dhM20AUJUtjsKJSrR/EhaQVDGJ9am+o/jvWymXdwzzmbaAPay/D9zODeEJtli2qweF3vjsykLkkCn5zbTPvUkyGbaAI2DrDvWzlqSNK9+nbI5NDq5zbQBXOX5d+ZtblHo8j4LIj84/yj/dtzPC5WKGG8IWVBsO27bU0x7NTe9O3RB0bCipy3l/2d23xr2RXi++Wgrphcu0Hx5JSO+Op0uu1X4tuvhCAQCgUAgEAgEAoEgT2hf46nOtnj187UNNAUCgUAgEAgEAoFAYAU6rS7f/gqaV7Wr81VzPwHmz38RCAQCgUAgEAgEAoEgn3lVm1sFAh2ArIv2JODkK9IUCAQCgUAgEAgEAsEr4lXsD1VQvCrHdzvgptPpLmf9QZKkw69IUyAQCAQCgUAgEAgErwid1vozmm3Fq9rcyuzhgTqdbvCr0BQIBAKBQCAQCAQCgcAUr2rEVyAQCAQCgUAgEAgE/0O8zrs6C8dXIBAIBAKBQCAQCAQWeZ3X+Nr2JGuBQCAQCAQCgUAgEAheMWLEVyAQCAQCgUAgEAgEFrHF+bv5xX/W8T16PNqm+iFBnjbTLlHM3mbaAEv+OGJT/QFvN7eZdtXirjbTBjgX7Ggz7ZgYhc20AeQ1vW2qL2E7Q375qa/NtAHqF4+wqb5aa7vJRzHJTjbTBjh7p6jNtM8ce2AzbYCibxaxqf6RS5LNtNvXU9lMG+BWhO3yPiHZtp3m0oVsm/cRic42065ZxXZlHiBZZVt9Qf4gHF+BQCAQCAQCgUAgEPxPo9W9vscZiTW+AoFAIBAIBAKBQCD4n0aM+AoEAoFAIBAIBAKBwCJiqrNAIBAIBAKBQCAQCP6neZ0dXzHVWSAQCAQCgUAgEAgE/9OIEV+BQCAQCAQCgUAgEFhEp3t9R3yF4ysQCAQCgUAgEAgEAototWJXZ4FAIBAIBAKBQCAQCP6TiBFfgUAgEAgEAoFAIBBY5HXe3Oq1dnwbV3fkzS5uKNUvv/trbQJ3HquMwvp6yvhpgg9pypcPa/epFLYfT82zftWSEq1qyHFzBrUG7oXp2HlWg8JYHoBuDeWUDJTw8YAtJzVcDrGu4Jw7sIwzexeiUqZSoVYH2g/6Gjt7B6Nw0eH32LHsE2KfPQGgUPEqtB0wFb/CZfOsbW8n8fabpWnT1B9HRxn7j0YxY0EIGo3pNMlk8NbgknRpWwgXZzlPw1OZOOUKScmaXGvHhAdzfOtPPHt6g7TkOCb8fjtH190+t5n9/3xGq/7TqdKwX651VSol/yz8nttXz5CcFI9/oWL0HDyRqrWbGoVdPf9bzh7bkfFZo1Yjt7Nn5qqTudbNyt2Lm7lxciUJMY+wd3SjTI0u1G3/ATK56ep8fNM0Ih6cIz7mEc16f0f5Or3yrF2jjJx2dexwd5FQa+DOEw1bTqjMlvkyRWR0aWiPr4dEcpqOw5fVnL2d+2cOcHLfai4e20TEk2BqNOxCv7E/mAwX8SSYnf/8TOiDG6QkxfHDylt50suqfeHY5gzt/mO/Nxnuyqmd7Ns4i8T4aOzsHKhQoxndh03BydnN6nsA29Z5gLDQp0waP4JGTVrw3sdTjX5PTkpkyYK/uHj+DAAdu/RkwJARVmke37Oac0e2EP4kmFqNOzNonOm81+l07F73J2ePbEaZlkLRkpXoPWIqhYKsS3NOn/2FY5s5uXcV0RGPcHR2o2ajLnTo/z5yM/UyNzyPCOb0zp+JDr2BIiWO0T9kX6Yf3TrEuT2/kxgbhk+h8jTvPR3vwLzlw+h+vjSv87L8yuUSarWOYZMfmQxfsogD4wb6UTTQntBIFXPXRPMwTJlrXZVKybpF33H72mlSkuLxCwyi++CJVKnVLNvr/vxmFMHXzzLzn4tW5321UjJa15Tjnt7G3w3Vsv2M6TbexRGGtLbD31NCksGzOB27z2t4HJW3dn7RjCncvnoOhSIVDy9fOvYcTrN2xrb75KFtHNjxD1HhT3BydqVB8470GjLB6rSnJsexffkUHtw8gbObN616TaJqg25G4R7ePs3x7bOJeHwTJ1dPJvxw0CrdF8SEB3N8y09Epbfz7/5hvp2PjXrAiW2/EP7gEjqdlsCgqjTvPQXvgNJ50j6252/OHtlM+JO71G7cmcHjvjMZTq1Ssu2fP7h8ajcqlYLajTrRa/hnyO3s86QLcCq9nYt8Gkz1hl3oO8Z0Oxf5NJidf/9M2EN9O/fdCuvbOYCUpDi2Lp1KyI0TuLh706bPB1RvaPzcD23+i2M75iO3e9n+jPt6Cz4BQXnWVqmUrFn4HXcy+lhB9Bg8kSom+lgA0ZFPWbf4R+7evICdvQONWvek99AP8qwvyDk63es71fm1dnwBQkLV/LQiPsfhJ/4aQ369qHgcpWPxbjUpCnCw0zu2rWvK2HXOdIGIjNVx/aGWdrWtn2F+/+YxTu9ZwMD3l+PuGcDG+RM4vv1PWvb6yCism2cAPcf8iYdPUXQ6LRcPr2br4g8YOXVbnvXf6FucimXdGTrhPHKZxE9fVGX4gOIs+dt0Z+itwSWpWtGDsR9fIvKZglLFXVAq81ZxZHI7ytXoRLUmg9m5ZHyOrklLief8gfn4FCqXJ00ArUaDt28gk75ZhI9fYa5fPM7C3z/hi9/X4xdQ1CDskLFTGTL2pWOwbNYXyKT8WVmgVqbSsMtk/IOqk5Ycy76V73Dt+FJqtBhtMrxPoQqUrtaJc3t+s1r7YYSWOVsUGWW+dzN7OtSzZ+tJ456gTIJh7R3YeUbFmVsaivlLjOnqyJMoLeHPc18JPbz8adX9be5eO45KqTAbTm5nT7X6HWnYZhArZ0zItY5p7QBadx9L8LUT2WqXKF+LcdNW4+rujSItmU1LvmLv+pl0HzbF6nuwdZ0HWDT3D8qWr2D296ULZ6FIS2PekrXEx8fy1eeT8A8IpHW7znnW9PAOoG2vsdy5egKVMs1suCun93D28CYmfLUSb/8i7Fr7J3/P+YxJP/ybZ23I+bNXKdLo+sZnBJWpTnJCLCv+GM+xnUtp2c10vcwNMrk9pat1pHLDQexbmX2Zjo9+yKG1H9PxzfkEBNXg6rEl7F0xnn6Tdph9OZYdC9fHsHB9TMbn8YP8zLahdnL45K1AdhyNZ8/xBNo19uCTtwKZ+P0T1Ll836XVqPHyDeT9r5bg7VeYG5eOseSPj/n81w34ZrG3Lzh3bAcajdrkb3nhcaSWhTu1GfauRyM5bWvJ2XHWODFKNWw6oSYmAXRApeISb7Sx48c1qjz1OTr1Hsnw8V9ib+9A+NMH/DptDMVLV6BEmcqGuoo0Boz8iNLlqpGYEMusH97H1W0lnXpb98Jp99/fILez5/1fTxD55BZr/xpLYFBF/IsYtqH2ji7UaNKHyvW7cnLXfKs0MyOT21G2pr6d32GhnVekJlKqSmvaDvweeydXzu2Zw/bF4xk6eVeetD29/Wnfayy3r2Zf5/dvWcST+zf45JfN6LQaFv0ygb2b5tOpX97bHQ8vf1r1sNzOyeT2VGvQkQZtBrF6Zv60cwA7V+mf+0czjhPx+DZ/zxxLoaCKBBQ17jtVqdeJPmN+yTdtrUaNt28hPvhmsb7OXzzGot8/Zurv/xrVebVKxZ/fjKVFxwG8NelnZDI5kWGm+5+C/Od1HvEVa3ytICEFUjLZJa0OfNwls+HP3tHyIEKHOh9elFw/tZnqjfviX6QcTq6eNO78DtdPbzIZ1snFA0/fYkiSBDodMpmc2KjHVuk3qe/Lv9uekpikJi5Bxb/bQ+nStpDJsO6udvTrXoyfZgUT+UyfYQ8ep6BU5a3ieAeUpnLDvvjkYgTj1I7fqdFsKE6uXnnSBHB0cqbbgHH4BRRFJpNRvW5z/AKK8vh+9m9aFWmpXDp9gIYtjd+a5oVKDQdRqFRd5HYOuHoGUqZmNyIfXTQbvnKjIRQp2wi5naPV2vHJOqMy7+thusy7OIGTg8TFYH0n8ekzHVGxOgK882Z2qtZrT5W6bXFx88o2nH/hUtRr2ZeAYtaN9Blqt8uRtpdvYVzdvTM+SzI5MZHW1bUX2LrOHz9yABdXN6rVqGM2zPmzp+jZdxCOTk4EBBamTfvOHNy30yrd6vXbUa1eG1zdPLMN9/zZU0pVqI1vYBAymZw6TbsRGRpilTbk/Nk3bDuQUhXqYmfngKdPIDUbd+Vh8CWr9QG8/EtRsV5fvAMsl+mnwScoVLIOhUrWQSa3o0bzUSQnRBL+4JzV9+HoINGguitHziWZ/L1yWWfkMthxJAG1BnYdS0CSoGo559xrObnQpf87+Kbb22p1WuAbUJTH92+aDJ+aksjOf+fRc0j+jfjEm2rjzdg7tQai051eCdBqwcVRwjmPZrdo8TLYp8/mkCQJCYmoiKdG4Vp27Ef5yrWxs7fH2zeABs07c+/25byJpqNUpHD74l5a9HgPBydXgsrVpVyN1lw7vcX4PktVp1qjnnj75X2kzxTeAaWp0rAvPoUsl/lCJapTpWFfnFy9kMvtqdliOHFRD0hNjs2T9kub45VtuBsXD9O84xBc3Txx8/ChWcchnD1s2ibnlCr12lO5Ts7aubot+hKYj+2cUpHCzQv7aNVrIo5OrpQoX4cKNVtz5eTWfNPIDkcnF7oOGPeyztd9UeeN+1inD2/B09ufNt2G4ejkgr2DI8VKli+Q+xS83rz2I77FA+344wMfklN1nL6exs4Tqdm+Xf3pXW90Orj1QMX6A8kkpVr31qJ4gMSQ1nKcHCSUKh1rDudtGmduiQ6/S7kabTI+BxSrQHJCNKlJsTi7eZu8ZsakuigVKeh0Wpp1nWj1PUiSYQcg0N8JVxc5ySmGeVC6pCsajY5WTfzp36MYKSlq1m8NZePOMKvvISdEPrpK1JPrtOzzJXcv5+0NsCkS4mKIDH9EkaAy2Ya7dHo/7h7elKts3mGwhogH53PUIc4vSgbKGNHJIaPMr9hrehpjUipcuqembgU5p29pCPKX4e0u8TDi9Z0ikxMe3rnA0t/GoUhNwt7BmaHv/5kv8dqyzqekJLNm1RK+/uEP9u/ZkW3YzKcc6HTw+OGDPOvmhpqNOnPl9B6ehT/Ex78o545upkIN01PkCoIHt8/na6c0V2R6CDp0gI7YyLsULdvIqmgbVHclIVnDzRDTI+9Bhex5FG5oDx6FKSlWyJ7Lt/O+rAj09jYq/BGFzUxd3/r3nzRr1x8PLz+rdLJSIkBiaFu7DHv396HsR5QndLfDz1PCTi5xPlhDsvlJChZZPf8HTh7ahlKZRvFSFalmZspnZu7evGixTbLE88iHyGRyfANLZXwXGFSRR8HWvzwpCELvn8fF3R9nV9N2MT/RZTF4cc8jSU1JxNnF/ZVr5zcxEQ+RyeX4Fcr83Cvw6I7p5x585RA/vtsAd09/6rcZQr1Wg/L1fl7WeePy/CD4Kr4BRZj17Ts8CrlBkaCy9H/rM4qWyPusPkHOeZ1HfF9rxzf4sYovF8QSE6+liL+csb3c0Whh10njBjYpRcv0JXE8iVDj5iIxuIMbo3q4M2NNglX38DhKxw9r1Lg7Q53yMuKSCqYwqBQpOGZaN+jorDeySkWy2U7w+7+fR6lI4frpTXj6mJ4qllPOXHxO325FuXg1DpkM+nXTx+fkaOz4Bvg54u5mR1ARZ/qNOkNQEWdmfFudx2GpnL+ctzeyOUWr1XB4w9e06P0Fkiz/Jjho1CqWzPycRi27UahoqWzDnjq8jQYtuhq9KMgPgs9vIDr0Os16T8/3uM3xMFLLl8vS8HCB+pXsiM2mzF+5p6FPcwe6Ndavedp8XEV88utrMHNCyQp1+HrBWeKfR3L28Hq8/ayray+wZZ3/Z+Vi2rTvgq9fQLbhatWuz6b1q3l30ufExT3n4L6dKBTmp+vlJx7efpSqUJsfJ3VBJpPj5VuIt6cuKRDtrJw7soGnD27QZ1TB1csXFC3biLO7fyPs/lkCi9fkypFFaDQq1CorPLB0WtZzMzvaC+DkICMl1fDFVkqaFmdH62yvRq1i+V+f0aBFd5P29lHIDe7fuUzfEZ8SFxNplZZR3FE6vv1bhbsL1Csvz9beAczaqsZODpWLy5Bb2eQMGTuZQaM+IST4KneuX8DOPvu1o8cPbObhvZsMe+cLq3SVWWwN6O2NMi3ZqngLgqS4CI5s+IZmPT995VqVajTl6O5VlKtSH61Wy9HdqwH99PPX0fFVKlJwdDJ87k7O7ihMPPcq9TpRp0V/3Dz9eHr/Cutmv4eTszvVGnbNl3vRqFUsnTmZhmb6WLExkQTfOM+4T2dSoVoDDu1czbyf3uPLmVss1hOB9WjFGl9DJEnyACYDxYBdOp3u70y/zdHpdO+YuW4MMAagSY/fqFhvmMHvDao4MrSzvlLefaJiZianNfSZhm3HU+jY0MWk46tQwaNw/ZvahGQdf+9J4vf3fXF0kFAoc9YRr1ZKoltDOaB3eFcdeOngJabCvVAdfZvbMX9H/q0xesGN/2vvvOOjqNb//z6pQCAkoffQBC6gARTBAijVAhZURKyAiOWn1wrYwB/itXBFsYBcBHtDQIoKAipSLiAlhF4CERIgNCmBkLbn+8eZkIW03c3s7CV53q/XvHb2zMz5zJnynPOcNqtmM/+rkQDUbdyO0PAKZJzJK4Bkppv1sPCIIuMJC69Am6v7M/65jgx++SciIqt4pN+9c3WefdR0I0nYfJznX9tExYgQpo5vR1aWi9nz99O0UUWOHsvf+peRYa7T1G/+IjPTRWLSKRb9cYiOl8Z45PhuWzOH36eZtNdq1I4+Q/7j0TkDbFj2FVVrN6NmbJzHxxSHy+Vi6vgXCQ4J4c5Bw4vc9+ih/WzfvJq7H37ZZ72d8XNY9sMoAGrGtqPn/ZMASNq8kD/nj+O6QVMo56ea7bgmwdx6tclEkva7mDIv7/6eOA3b9+ZwV9cwxs/I79xUq6y4q2sYny/IZEeyiyqVFQ/0CuPEKc3WvReu0fSUyjE1aHbx1Xz9wdM8/up0r48P9Dufy+7EHSTEr2Hs+MnF7jtw6ON8PPFdHntwABUjI7mqc1eWLl7klZ6vLJg+gT2JG3np/UVUiqrKmqVzmPjqQJ59axZh4d53tfWVTasXMv+7dxg8/ONzur17w851c1ji9s5f98Akj4+Nqt6Izrf/i+WzR3P6xCGatOlDdPXGRETW8Oj4q9pG8NAdptV0y64zvDbJOJJVo4Jp2aQcE787XOixZzJdlC93rrdXvlwQ6Rm+v+8ul4tP33+B4JBQ7hg4osDt300ew20PDCvxhE6XNAqiT0eTx/+VqvlsYV5efvI0bE9x0a9zCB/OKTqPz86BhN0uHr85lP1HNQf+9r2yLyg4mKYt2rBi8U8snv89XW8ouFVt3crfmPHF+zw1agKVIkuWH4SFVyAj/dwKjoz0NMLKFW1rSsK2NXP47bu8fP6mhzzP53NJTzvKDxMH0frKu7iorT0OWFF0u2UI6adPMnb4bQSHhtHxmr6kJG2hUmXvbOz/CmHn5TFg7nt4Afe9ep28nhf1m7Tl8m73sHnNfFscX5fLxSfjXyAkJJR+g/K/8wBhYeVo3Dzu7MRX3frcx8/T/8OBlF3UjS18HgpB8FeL71RgBzAdGKiU6gvcpbXOADoUdpDWehIwCWDwmMP5coqVmzJYuamI1oPcwTVeEOTF/ht2azbsLjzDCwqCGD9V8rVs34eW7fuc/T/746c5lLyNFu3MpDEHk7cSEVm10JYfd7R2kZ2ZTtrxVI8LwQsWH2TB4oPnhI37aCfjPtoJQJ+etdiWmHZON8dcdiblry003e88o1m73jRr59v42OQdK9iX+Cd/bfkDMJNcHU7ZwuGULXTu670zqrXm8wmjOHH8CI89/36xszeu+GMujZvFUa1GXZ/OH6BJXG+axJ2b/uTtS1g242V63DeRmJr+G9cSvzOH+J2Fd98PUqrQMb41YxSHjmu2J5tC7+Hjmq17XDSrH1wmHF8wk3UcObjXp2MD/c7nsmlDPIdSDzD0/jsAOHMmHZcrh72PJ+VzhitViuSfz+a1Nn356SSaXNTcKz1fSflrG3EdexFVxcw10L7zLcz67A1SkxOp17iVI+ewLWEJM6aM5P6nJ1Cznu/vZZM2vWnSxvc5ARq17kmj1j0ByEg/wbbV06lWt7VHxy5de4qla/Pb7E6XVmTr7gwOHik8D9x7IIveXc4di92gVhjzl/rWs0przZcTR3Ly+BEeHvFBgfb2THoae3ZtYsq4Z80xLmNbXhzanUFPjaVJC8+HmKzf5WL9rsJtU7Aqeh6PfPsHQXQlOGBDxyZXTg6HChjjC7Bx7TI+mzCax18YT10bunrG1IjF5crhaGoSMTViAWNvqtX2X9f9kuTzYPL2HyYOomHLa7ms+1Abz6xwwsLK0feBF+j7gJm8cPmiadRt1JIgG3uXOUmVmrG4cnI4kppEFeu+H9i7Ld+EZgWhlCqw/OctWmu+mDCSE8eP8OjzBb/zAHUaNCVxW3zJBQWfuJC7Ovvr7WystR6utf5Ba90HWAv8qpSytRqsVeNQIiNMJlSzSjA3XlWB+O0FO8YNa4dQIyYYBUSUV/TvUZGtSZmkZ/h+81o3VFS2KsIqR0DXuCB27S88vuAgCAkyvrn7ui+06nATCcu/5/D+nZw5fYLlP0+gVYeCP1Oze8syUvduxuXKISM9jV+/f51yFSKpUtP3cUBVY8KoEmMm3mjZrBL39avPx18lFbjvvgNniN94jHvvqE9oiKJB3Qp0u7o6y1cdKXD/4tBak52VgSvHzCScnZVBTnbB40y79f8Xdw37kX5Pz6Tf0zOpXq8ll/V4lA7X+zYByleTxnAgeTePDB9PWHi5YvdfuXguHbv0KXY/b9iXuILfv32Wawe8S7V6Fxe7f052JtlZGWitcbmyzLrLN8czrkkwUdY7F1VR0fOyEHamFBxXymFN1cqKxrWNmYmppGheP4j9R3zTzsnJJiszA5fLhUvnkJWZUeAMrlprsy3bPB9ZmRlkZ3n/OZWCtLUrB12E9rplczh22Ixd//twCvOnvUuTloXW9XlFoN757r1688Hkrxj73mTGvjeZHtf1oe1lHXlp9Nh8+x7Yn8LJE8fJyclh7eoVLJg3l9vuvLeAWD3H/b5rl6vQa1+vUSvWr5zPyWOHcblcrF4yG1dONlVr1rdFv7h7v3PTCr6d8BwDHn+Xeo2Lfy+9wRubB3AoZRMuVw7paUdZMnMkDVpcQ5SPn3bJpfNlFfl91cki99m8Mx2XC67vFElIMPS6ytQEb9zh2/jeb/7zKqkpuxg67D3Cwgq2t+UrVGLMR4sY8dY0Rrw1jYdHfADAsDe+IbZpye7DJY2CzubxURHQrW0wiYXk8XWrKRpUVyZvD4arWwVRsbyZ1M9bThw7yqql8zmTfhpXTg4b1y1n1dJ5NG/dPt++WzasYvI7L/Lws2/RsKk9FTxh4RVo3qY7i2ePJzPjNHt3rmF7/CJad7gp377a5TLPY07W2ee0qGfTU7x55jPPpDHro8HUatiGK3s/XWLtPJuTg8tV+Dt/7Ggqx48eRGtN0o71LJgxkV63Fdih0QdtF7oIbX/kc2HhFWjRrju/zTT3fc+OtWyLX8QlV+Qvw2xdt4j0U8fRWpO8K4GVCz+neZtrS6QP8PWkVzmQvJuHh79XZBmrfacb2b19A1sTVuDKyeHXuV9QsVIUNeuUzM4JnqGt/NiOxWn81eIbrpQK0taHnrTWY5RSKcAfgD0ftARaxIYy8MZKhIcpTpxysWJjBj8ty8tgXxkSxU/L0lm5KYNqUUHcck0EkRWCSM/UbN6VyaQfCh+r5AnVKyu6tw2mfBikZ8KOFM3CdXmtY3d3DeavVM2SjebG3tMtmIY1jRNQv3oQfTrC1PnZJKV6nzE2atmJ9t0H8/W4e8nOOsNFbXpyldvkNZP//w107PUQLdv3IeP0CRZ+O5qTx1IJCQ2nVuzF3P7YZEJCfZ/lt06t8rz4ZHOio0I5eCiDiZ/u5s91edXaY0e1Zv2m43w+zcwkO+qtLYx4vBk/fnUlx45nMvnLJNYkHPNJ++TfKXz2arez/ycOu4RK0bW57yXz/cDZkx6kdqN2XNptKOHlI3Hv5RgUHEpYuYpnx0d6w5FD+1iy4HtCQsMY9mDeJEN3DXmRpi3a8sqTtzJy3AxiqtUCYNe29fx9JJV2V3T3KZ2FEf/rBDIz0vjl07xabfcu0PM/GUKN2HbEdXkIgHlTB3PAmtH14J51LJs5kusHf0qtRvkLUcVRI1pxfftwyodDegZs3ZvDvFV5nzIa2CuM3Qdc/BafzdGTmu8XZ9HnilCiKyrOZJrJrv708Tu+v82ayKKZH+Rdh2Vz6HrLo1za6VbGDe/Nk6/PIapqbY4d3sebT+U9Hy8PiiOqam2GjfO9y+2vsyayaOaHZ/+vWzaHrrc8wmWdbuXt4b15ytI+uC+Rn799m/RTJygfEUnzSzrR8w57ZpkN1DsfXq4c4eXyCiDlypcnLDSMypWj2LxxPWNGDuPL6fMASNy5jamT3ufUqTRq167HE8+8SP0GRY+BL46FMz/il+l5137N0jn06PsI7bvcwpvP9OG5sbOJrlqba/sMIu3EEf49oi+ZGelUrVGf+/45jvIRkSXS9/Te/zprImdOp/HJ2IfO7hvbrB0Dn/W8m3JhpB3bxzdv5j3TU1+Oo2JUbfoPM8/0z1OHUDO2HW2uMdr/nfMaR/dvJSg4lIate9LhhpKNd7yoQTgxlUP47/r8LcHPD6nBll1nmLnwONk58OaUVB7uV5UBN0STfDCLN6ekev0pI4Cjh/axbOE0QkLDGPHgNWfD+w95mcYt2vLqkzfz4rgfiKla65wJrXI/AVOpcpUSd32uVlnRo13o2Tx+e7KLX9bmJebebiH8lepi8QYXIUFww+XBxFRS5LjM5ws/X5jNSR98fqUUi+dN44uJY9BaU6VaLfoNfIa49p05cmg/I5+4jVfe/Z4q1Wrx47TJpJ9OY/yYPFvQtEUbnnjp/RKlvdeAkcz95HneefoKykdE0WvAKKrVbsqeHav5ZvyDPPeembF8z44/+eLfeZVbbzx6MfUvas89z3xeIv2Tf6fw6ei8Z37Ccyafv/9lk8/P+sjk85d1H0piwgIO7tnA0QM72brqh7PHDBg+l0rRtb3WXjDzI+ZPn3D2/5qlc+nZ92Eu73Irrz/Th+FjZxNdtRZHUvfy5YfPk3biKFFVanJj/ydpfvGVvica+H3WRH79wS2fWz6Ha29+lHadbuXdEb154l95+dzYp/Ouz6jBJp979u2SDS254e6XmTX1Bd564krKV4zihntGUr1OU/7avpovxg3hhQnmCxIbV/7IrCnPk52dRWR0Da68bjBxVxZcEespRw7tY6lVxhrxYJ4T3X/ISzRp0ZbRT97CS+NmElOtFjXqxHL/42P4etKrnDx+lHoNWzB0+LsyvtchLuQWX6Xt6JtwfqRKvQn8orVeeF54L+A9rXWx/SYK6ursJHXqFf3pDH/SoG5gX9wp4xYHVL/f0E4B025Vv+QTwJSEP7eX/JNDvnLkiDOTEBXG5XGBSzuA8qL7vd38nRYcMG2A9vUPBFQ/6YS9M/F6Q1a2/ZPOeUNicuD0Vy4J7Hcvh9zvvVNiJ4vXBe7a97gs/7fPnSTpsP/G6xbHiQBPcNiopv3zsHjD6azA2ftA27vqkYEtZ3RtXXxPPT8S2ItvI936r7btJV749aWOXhe/tPhqrZ8rJHyeUuo1f2gKgiAIgiAIgiAI/kNfwLM6B2IE/isB0BQEQRAEQRAEQRBKgMulbVucxl+fM0oobBPg2TcVBEEQBEEQBEEQBMEG/DW5VQ2gJ3D+JP4KWO4nTUEQBEEQBEEQBMFPBGI2Zrvwl+M7F6iotY4/f4NS6nc/aQqCIAiCIAiCIAh+4kKe1dlfk1sNKmLbXf7QFARBEARBEARBEISC8FeLryAIgiAIgiAIglCKuJBndRbHVxAEQRAEQRAEQSgW6eosCIIgCIIgCIIglGou5MmtAvEdX0EQBEEQBEEQBEFwDq11qVyAIWVVX9JeNtMeaP2ynPZA60vay2baA60vaS+baQ+0vqS9bKY90PqBTrss9iylucV3SBnWl7SLflnTLuv6knbRL2vagdYvy2kPtL6kXfTLmrZgE6XZ8RUEQRAEQRAEQRAEcXwFQRAEQRAEQRCE0k1pdnwnlWF9SbvolzXtsq4vaRf9sqYdaP2ynPZA60vaRb+saQs2oawB24IgCIIgCIIgCIJQKinNLb6CIAiCIAiCIAiCII6vIAiCIAiCIAiCUMoJ9PeUPF2AKcBBYKNb2CXAf4ENwBwg0goPA6Za4euBLm7H/A5sA+KtpbrD+mGYcQLbga1AX6f0gUpu6Y4HDgPvOJj2/lZ4AjAPqOrwte9naW8C3vBQux7wG7DZOu4JKzwGWADssH6jrXAFjAd2Wlpt3eK6z9p/B3BfAPTnAceAuU5qA3HWvdpkhfdzWL8BsBbzzG8Chjp97a3tkUAy8L7D9z2HvHd+dgCeu/rAL8AWK75Yh+77NZxr784ANzuc9jetOLZY+yiH9d8ANlpLse+dD9rNMe92BvDMeXH1wuS1O4HhfnruitLPl284oV1YPA7qlwNWYfK/TcArTl97a3swsA4P8hub73sSJv+PB1YH4LmLAr7HlO+2AB0dvPfNONfmnQD+6WDan7Ti2Ah8DZRz+No/YWlvKi7dPmoPwNjYDcBy4BK3uLy2d7IEZgn4CXh8otAJaMu5zs+fQGdrfSAw2lp/FJhqrVcH1gBB1v/fgUsDqP8K8Kq1HoTnzp8t+ufFuQbo5IQ2EIIphFS1tr0JjHIq7UAVYA9Qzdr2KdDVA+1a5BWkK2EqLP5hnf9wK3w4liMNXA/8jCmMdgBWWuExwC7rN9paj3ZK39rWFeiN546vXWm/CGhqrdcG9gNRDuqHAeHWekVMwai2k9fe2v4u8BWeOb523vc0T+63H/V/B7q7Xf8KTl53t/fvaHHaNj93VwDLMA5AMKaw1sVB/RswhbYQIAJjMyNt1q4OXAaM4dwCeDCQCDTCvH/rgX/4Ie0F6lvb8uUbDqW9wHgc1FdARWs9FFgJdHDy2lvbn8LYO08cXzvvexIelqv8pP8pMNhaD8M/eV2R197tHTwANHDouasD7AbKW/+/A+538LlvhXF6K2Bs3kKgic3aV5DnBF9Hnq31yd7JEpgl4Cfg1clCLOc6P8fJm6CrHrDZWv8AuMdtv0VAe2v9d3xwfG3U3wtEBErfLewi61yKbYGwQxuTAR/CtL4pYCIwxKm0YwzlIrfwe4APfbgHs4DumJq9WlZYLWCbtf4R0N9t/23W9v7AR27h5+znb323/13w0PG1W9stfD2WI+y0PnkVIMU6vnbqA+2Ab4D78cDxtVnba8fXxuf+H8DSQGifF8cQ4EuH094RU/FWHlMYWw20cFD/WeAlt/CPgTvs1HbbbxTnFkI7AvPd/o8ARtid9sL03cJj8dDxtVv7/HgCoW89d2uBy53UB+pi8t5r8SG/KaF2El46vjY+95Uxzp9H5So/3/sewDIH014HU6aMwTiec4EeDurfDnzs9v8l4Dl/aFvh0UCKtW6LvZPFmeVCH+O7CbjJWr8d4wCBKVj3UUqFKKUaYgqd9dyOm6qUildKvaSUUk7pK6WirO2jlVJrlVLTlFI1nNI/79g7gW+19Zb6W1trnQU8jOkisg9TIP7YR22v9THdT5oppWKVUiHAzeS/JkWilIoF2mBq0Gtorfdbmw4Aufcx1/jnkmyFFRbulH6JsEtbKdUeUyOa6KS+UqqeUirB2v6G1nqfU/pKqSDg38Az3mjaoW2tl1NKrVZKrVBK3eyw/kXAMaXUDKXUOqXUW0qpYIe03bkT0/XOK0qir7X+L6Yb3X5rma+13uKUPsYW9lJKVVBKVcV0/fbY5nmoXRhO2Tu/YJf2efE4pq+UClZKxWN6WS3QWjuqD7wDPAe4vNG1SVsDvyil1iilhjis3xBTwT/VsneTlVIRDuq747XNK4m21joFGIupWN4PHNda/+KUPqa192qlVBWlVAVMTxh/2rtBmJ424Kdyl+AfLnTHdyDwiFJqDaabQqYVPgXz4K3GGODlmHFuAAO01q2Bq63lHgf1QzA1ocu11m0xXd/GOqjvjk8FQV+1lVKhGMe3Daa7awKmVswRfa3135b+t8ASTK3w+dekUJRSFYHpmHEjJ9y3WZUHvlYg/M/r26WtlKoFfA48oLX2uEBkh77Weq/W+mKgCXCfNxVONug/AvyktU72VNNGbTBd3S4F7gLeUUo1dlA/BGNnn8H0umiEafV2Qjs3nlpAa2C+J/vbpa+UagK0wNj8OsC1SqmrndK3Cp0/YWzg15j8xiObJ/bOlueu0Hj8ra+1ztFax2GevfZKqVZO6SulbgQOaq3XeKppl7bFVVb56jrgUaVUJwf1QzDd6ydordsApzBdZZ3Sz40nDOgDTHNKWykVjWmMaIgp40Uope52St+qVHwDM5/EPMwYZ7/YO6XUNRjHd5gn8Qv/W1zQjq/WeqvWuofWuh0mY0+0wrO11k9qreO01jdhJhvYbm1LsX5PYsaftHdQ/whwGphhRTENYySd0gdAKXUJEOJLxlQC7Thre6JlSL7DjJdwSh+t9Ryt9eVa646YrizbC4n+HCynfTqmq2TuvUu1CtS5BeuDVngK59Yy1rXCCgt3St8n7NJWSkUCPwIvaK1XOK2fizYtvRsxzphT+h2Bx5RSSZiKrnuVUq87pO1u83Zhhnq0cTDtyUC81nqX1job+AEPbJ7N9/0OYKY2vU48wib9W4AVWus0rXUapnWgo4P6aK3HWLawO2aISbE2z0vtwnDK3tmKXdqFxOOYfi5a62OYXge9HNS/EtPrKgkzvONapdQXDmm727uDwEw8LOPZpJ8MJOu8Fvbv8bCMZ/O9vw5Yq7VOdVC7G7Bba33IsrUz8LCMZ+O9/1hr3U5r3Qn4Gz/YO6XUxcBk4Cat9REr2NZyl+BfLmjHVylV3foNAl7EjBtFma5dEdZ6dyBba71Zme6vVa3wUOBGTCHYEX3L4ZuDGWcJZrKhzU7pux3an5K19vqinQL8QylVzYqiO2bGQ6f03Y+JxrTCTfZAR2G6ZG/RWr/ttmk2ZpZmrN9ZbuH3KkMHTHef/ZjWph5KqWhLvwcetEDZqO81dmkrU/s8E/hMa/19APTrKqXKW3FGA1dhKj4c0ddaD9Ba19dax2JaPj/TWhfZCmBj2qOVUuFWnFUxhdJibY6Nz92fQJTbe39tcfp+eOa9snc26u8BOlv5TijQGQ9sno33PlgpVcWK82LgYkxriJ3ahfEn0FQp1dB6/++04igSG/W9xi7tIuJxSr+asoZVWXavO2aGYUf0tdYjtNZ1LXt3J/Cr1rrIlj8b0x6hlKqUu47JZ4st49mY9gPAXqVUMyvIozKeH557j22ejdp7gA5WGUxh0u4Pe1dUXLllvPrArZjGLdu0rXhnYOaRcXeqfbJ3QoDQ/wMDjT1ZMC/xfiALU6s2CDN1+XZreR3OTnYUiynYbsHM7NbACo/ATDaSgBkj+i4Q7JS+ta0B8Id1DouA+k7qW9t3Ac2dvPbWtqFWeAKmAqCKw/pfYzKhzcCdHmpfhenmkkDeJwKux0yStAgz3f1CIMbaX2Em2ErEjGe+1C2ugZixxjsx3X2d1l+CGX+Ubl3Hnk5oA3db9y7ebYlzKu2Ygl8CZsxjAh5OqmbntXeL8348m9XZrrRfQd6nvTYAgwLw3OVe/w3AJ0CYg9qxmEq3fLPaO3DtgzETT+V+xulth/XLkWfvVuCfd64mxpacwHwqLZm8T8tdj7HPiZieHv5Ie1H6+fINJ7QLi8eptGMqONZZ8WwEXnb62rvF2QXPZnW2K+2NMLZuPaaMF4jnLg4z1CoB08PFk6832KkfgeldWDkAaX8FU8myETOsKdxh/SUYe7cez77a4a32ZExLcu6+q93i8treyRKYJddZEARBEARBEARBEIRSyQXd1VkQBEEQBEEQBEEQikMcX0EQBEEQBEEQBKFUI46vIAiCIAiCIAiCUKoRx1cQBEEQBEEQBEEo1YjjKwiCIAiCIAiCIJRqxPEVBEEQSh3Wd22XKqWucwu7XSk1L5DnJQiCIAhCYJDPGQmCIAilEqVUK2Aa0AYIwXzftJfWOtGHuEK01tk2n6IgCIIgCA4hjq8gCIJQalFKvQmcAiKs3wZAKyAUGKW1nqWUigU+t/YBeExrvVwp1QUYDfwNNNdaX+Ts2QuCIAiCYBfi+AqCIAilFqVUBLAWyATmApu01l8opaKAVZjWYA24tNZnlFJNga+11pdaju+PQCut9e5AnL8gCIIgCPYQEugTEARBEAR/obU+pZT6FkgD7gB6K6WesTaXA+oD+4D3lVJxQA7g3rK7SpxeQRAEQbjwEcdXEARBKO24rEUBfbXW29w3KqVGAanAJZhJH8+4bT7l0DkKgiAIguBHZFZnQRAEoawwH/h/SikFoJRqY4VXBvZrrV3APUBwgM5PEARBEAQ/IY6vIAiCUFYYjZnUKkEptcn6D/AhcJ9Saj3QHGnlFQRBEIRSh0xuJQiCIAiCIAiCIJRqpMVXEARBEARBEARBKNWI4ysIgiAIgiAIgiCUasTxFQRBEARBEARBEEo14vgKgiAIgiAIgiAIpRpxfAVBEARBEARBEIRSjTi+giAIgiAIgiAIQqlGHF9BEARBEARBEAShVPN//RlgmXHg/VUAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1080x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Heatmap Plot\n",
    "plt.figure(figsize=(15,6))\n",
    "sns.heatmap(data=sweden_by_month, cmap='coolwarm', annot=True, fmt=\".1f\", annot_kws={'fontsize':12})\n",
    "plt.title(\"Sweden Climate Change\")\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eleven-finger",
   "metadata": {
    "papermill": {
     "duration": 0.028834,
     "end_time": "2021-06-29T08:43:25.843482",
     "exception": false,
     "start_time": "2021-06-29T08:43:25.814648",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Temperature Movement - Sweden\n",
    "> Display the movement of average mean temperature 1995-2020"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "complimentary-certificate",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T08:43:25.915352Z",
     "iopub.status.busy": "2021-06-29T08:43:25.910461Z",
     "iopub.status.idle": "2021-06-29T08:43:26.086862Z",
     "shell.execute_reply": "2021-06-29T08:43:26.087350Z",
     "shell.execute_reply.started": "2021-06-16T12:51:18.24288Z"
    },
    "papermill": {
     "duration": 0.215122,
     "end_time": "2021-06-29T08:43:26.087517",
     "exception": false,
     "start_time": "2021-06-29T08:43:25.872395",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Average Temperature')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 720x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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": [
    "# Display the movement of average mean temperature 1995-2020\n",
    "plt.figure(figsize=(10,4))\n",
    "pd.pivot_table(sweden_weather_df,index=['Year'],values=['AvgTemperature'],aggfunc=np.mean).plot(kind='line', color='orange')\n",
    "plt.title(\"Average temperature variation over the years\", loc='center')\n",
    "plt.xlabel(\"Year\")\n",
    "plt.ylabel(\"Average Temperature\")\n",
    "#plt.xticks(range(1995,2020))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "declared-specification",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-06-29T08:43:26.153050Z",
     "iopub.status.busy": "2021-06-29T08:43:26.152381Z",
     "iopub.status.idle": "2021-06-29T08:43:27.196443Z",
     "shell.execute_reply": "2021-06-29T08:43:27.197009Z",
     "shell.execute_reply.started": "2021-06-16T12:51:18.425729Z"
    },
    "papermill": {
     "duration": 1.079114,
     "end_time": "2021-06-29T08:43:27.197212",
     "exception": false,
     "start_time": "2021-06-29T08:43:26.118098",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'Year')"
      ]
     },
     "execution_count": 16,
     "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": [
    "sns.lineplot(x = 'Year', y = 'AvgTemperature', data = sweden_weather_df, color='orange')\n",
    "plt.ylabel(\"Avg Temperature ºC\")\n",
    "plt.title(\"Sweden Temperature variation over the years\")\n",
    "plt.xlabel(\"Year\")\n",
    "#plt.xticks(range(1995,2020))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "religious-hollywood",
   "metadata": {
    "papermill": {
     "duration": 0.032193,
     "end_time": "2021-06-29T08:43:27.262385",
     "exception": false,
     "start_time": "2021-06-29T08:43:27.230192",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "**Please consider upvoting if you find it useful to you :) .**"
   ]
  }
 ],
 "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": "3.7.10"
  },
  "papermill": {
   "default_parameters": {},
   "duration": 19.848865,
   "end_time": "2021-06-29T08:43:28.784500",
   "environment_variables": {},
   "exception": null,
   "input_path": "__notebook__.ipynb",
   "output_path": "__notebook__.ipynb",
   "parameters": {},
   "start_time": "2021-06-29T08:43:08.935635",
   "version": "2.3.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}