Pivot Point.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# PIVOT POINT"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Import Library"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "from pandas.tseries.offsets import *\n",
    "import matplotlib.dates as mdates\n",
    "from mpl_finance import candlestick_ohlc\n",
    "#%matplotlib notebook\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Import Data "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Price</th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Vol.</th>\n",
       "      <th>Change %</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>2020-01-30</td>\n",
       "      <td>1579.85</td>\n",
       "      <td>1576.65</td>\n",
       "      <td>1582.45</td>\n",
       "      <td>1575.65</td>\n",
       "      <td>-</td>\n",
       "      <td>0.0020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>2020-01-29</td>\n",
       "      <td>1576.70</td>\n",
       "      <td>1567.65</td>\n",
       "      <td>1577.70</td>\n",
       "      <td>1562.35</td>\n",
       "      <td>-</td>\n",
       "      <td>0.0044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>2020-01-28</td>\n",
       "      <td>1569.80</td>\n",
       "      <td>1580.60</td>\n",
       "      <td>1582.20</td>\n",
       "      <td>1564.60</td>\n",
       "      <td>378.01K</td>\n",
       "      <td>-0.0048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>2020-01-27</td>\n",
       "      <td>1577.40</td>\n",
       "      <td>1580.50</td>\n",
       "      <td>1588.40</td>\n",
       "      <td>1575.30</td>\n",
       "      <td>398.06K</td>\n",
       "      <td>-0.0029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>2020-01-26</td>\n",
       "      <td>1581.95</td>\n",
       "      <td>1571.65</td>\n",
       "      <td>1588.10</td>\n",
       "      <td>1571.65</td>\n",
       "      <td>-</td>\n",
       "      <td>0.0064</td>\n",
       "    </tr>\n",
       "    <tr>\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",
       "      <td>262</td>\n",
       "      <td>2019-02-05</td>\n",
       "      <td>1344.60</td>\n",
       "      <td>1343.40</td>\n",
       "      <td>1345.70</td>\n",
       "      <td>1340.80</td>\n",
       "      <td>1.25K</td>\n",
       "      <td>0.0002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>263</td>\n",
       "      <td>2019-02-04</td>\n",
       "      <td>1344.30</td>\n",
       "      <td>1346.40</td>\n",
       "      <td>1346.40</td>\n",
       "      <td>1338.00</td>\n",
       "      <td>0.53K</td>\n",
       "      <td>-0.0021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>264</td>\n",
       "      <td>2019-02-01</td>\n",
       "      <td>1347.10</td>\n",
       "      <td>1349.80</td>\n",
       "      <td>1352.20</td>\n",
       "      <td>1345.90</td>\n",
       "      <td>0.75K</td>\n",
       "      <td>-0.0021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>265</td>\n",
       "      <td>2019-01-31</td>\n",
       "      <td>1350.00</td>\n",
       "      <td>1350.60</td>\n",
       "      <td>1354.60</td>\n",
       "      <td>1347.00</td>\n",
       "      <td>2.65K</td>\n",
       "      <td>0.0071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>266</td>\n",
       "      <td>2019-01-30</td>\n",
       "      <td>1340.50</td>\n",
       "      <td>1341.30</td>\n",
       "      <td>1353.20</td>\n",
       "      <td>1340.20</td>\n",
       "      <td>1.91K</td>\n",
       "      <td>0.0002</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>267 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          Date    Price     Open     High      Low     Vol.  Change %\n",
       "0   2020-01-30  1579.85  1576.65  1582.45  1575.65        -    0.0020\n",
       "1   2020-01-29  1576.70  1567.65  1577.70  1562.35        -    0.0044\n",
       "2   2020-01-28  1569.80  1580.60  1582.20  1564.60  378.01K   -0.0048\n",
       "3   2020-01-27  1577.40  1580.50  1588.40  1575.30  398.06K   -0.0029\n",
       "4   2020-01-26  1581.95  1571.65  1588.10  1571.65        -    0.0064\n",
       "..         ...      ...      ...      ...      ...      ...       ...\n",
       "262 2019-02-05  1344.60  1343.40  1345.70  1340.80    1.25K    0.0002\n",
       "263 2019-02-04  1344.30  1346.40  1346.40  1338.00    0.53K   -0.0021\n",
       "264 2019-02-01  1347.10  1349.80  1352.20  1345.90    0.75K   -0.0021\n",
       "265 2019-01-31  1350.00  1350.60  1354.60  1347.00    2.65K    0.0071\n",
       "266 2019-01-30  1340.50  1341.30  1353.20  1340.20    1.91K    0.0002\n",
       "\n",
       "[267 rows x 7 columns]"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2 = pd.read_excel(r'F:\\Pivot point\\Gold Futures Historical Data.xlsx')\n",
    "df2 = df.iloc[::-1].reset_index(drop=True)\n",
    "df2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Price</th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Vol.</th>\n",
       "      <th>Change %</th>\n",
       "      <th>PP</th>\n",
       "      <th>R1</th>\n",
       "      <th>S1</th>\n",
       "      <th>R2</th>\n",
       "      <th>S2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>2020-01-30</td>\n",
       "      <td>1579.85</td>\n",
       "      <td>1576.65</td>\n",
       "      <td>1582.45</td>\n",
       "      <td>1575.65</td>\n",
       "      <td>-</td>\n",
       "      <td>0.0020</td>\n",
       "      <td>1579.316667</td>\n",
       "      <td>1582.983333</td>\n",
       "      <td>1576.183333</td>\n",
       "      <td>1586.116667</td>\n",
       "      <td>1572.516667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>2020-01-29</td>\n",
       "      <td>1576.70</td>\n",
       "      <td>1567.65</td>\n",
       "      <td>1577.70</td>\n",
       "      <td>1562.35</td>\n",
       "      <td>-</td>\n",
       "      <td>0.0044</td>\n",
       "      <td>1572.250000</td>\n",
       "      <td>1582.150000</td>\n",
       "      <td>1566.800000</td>\n",
       "      <td>1587.600000</td>\n",
       "      <td>1556.900000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>2020-01-28</td>\n",
       "      <td>1569.80</td>\n",
       "      <td>1580.60</td>\n",
       "      <td>1582.20</td>\n",
       "      <td>1564.60</td>\n",
       "      <td>378.01K</td>\n",
       "      <td>-0.0048</td>\n",
       "      <td>1572.200000</td>\n",
       "      <td>1579.800000</td>\n",
       "      <td>1562.200000</td>\n",
       "      <td>1589.800000</td>\n",
       "      <td>1554.600000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>2020-01-27</td>\n",
       "      <td>1577.40</td>\n",
       "      <td>1580.50</td>\n",
       "      <td>1588.40</td>\n",
       "      <td>1575.30</td>\n",
       "      <td>398.06K</td>\n",
       "      <td>-0.0029</td>\n",
       "      <td>1580.366667</td>\n",
       "      <td>1585.433333</td>\n",
       "      <td>1572.333333</td>\n",
       "      <td>1593.466667</td>\n",
       "      <td>1567.266667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>2020-01-26</td>\n",
       "      <td>1581.95</td>\n",
       "      <td>1571.65</td>\n",
       "      <td>1588.10</td>\n",
       "      <td>1571.65</td>\n",
       "      <td>-</td>\n",
       "      <td>0.0064</td>\n",
       "      <td>1580.566667</td>\n",
       "      <td>1589.483333</td>\n",
       "      <td>1573.033333</td>\n",
       "      <td>1597.016667</td>\n",
       "      <td>1564.116667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>262</td>\n",
       "      <td>2019-02-05</td>\n",
       "      <td>1344.60</td>\n",
       "      <td>1343.40</td>\n",
       "      <td>1345.70</td>\n",
       "      <td>1340.80</td>\n",
       "      <td>1.25K</td>\n",
       "      <td>0.0002</td>\n",
       "      <td>1343.700000</td>\n",
       "      <td>1346.600000</td>\n",
       "      <td>1341.700000</td>\n",
       "      <td>1348.600000</td>\n",
       "      <td>1338.800000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>263</td>\n",
       "      <td>2019-02-04</td>\n",
       "      <td>1344.30</td>\n",
       "      <td>1346.40</td>\n",
       "      <td>1346.40</td>\n",
       "      <td>1338.00</td>\n",
       "      <td>0.53K</td>\n",
       "      <td>-0.0021</td>\n",
       "      <td>1342.900000</td>\n",
       "      <td>1347.800000</td>\n",
       "      <td>1339.400000</td>\n",
       "      <td>1351.300000</td>\n",
       "      <td>1334.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>264</td>\n",
       "      <td>2019-02-01</td>\n",
       "      <td>1347.10</td>\n",
       "      <td>1349.80</td>\n",
       "      <td>1352.20</td>\n",
       "      <td>1345.90</td>\n",
       "      <td>0.75K</td>\n",
       "      <td>-0.0021</td>\n",
       "      <td>1348.400000</td>\n",
       "      <td>1350.900000</td>\n",
       "      <td>1344.600000</td>\n",
       "      <td>1354.700000</td>\n",
       "      <td>1342.100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>265</td>\n",
       "      <td>2019-01-31</td>\n",
       "      <td>1350.00</td>\n",
       "      <td>1350.60</td>\n",
       "      <td>1354.60</td>\n",
       "      <td>1347.00</td>\n",
       "      <td>2.65K</td>\n",
       "      <td>0.0071</td>\n",
       "      <td>1350.533333</td>\n",
       "      <td>1354.066667</td>\n",
       "      <td>1346.466667</td>\n",
       "      <td>1358.133333</td>\n",
       "      <td>1342.933333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>266</td>\n",
       "      <td>2019-01-30</td>\n",
       "      <td>1340.50</td>\n",
       "      <td>1341.30</td>\n",
       "      <td>1353.20</td>\n",
       "      <td>1340.20</td>\n",
       "      <td>1.91K</td>\n",
       "      <td>0.0002</td>\n",
       "      <td>1344.633333</td>\n",
       "      <td>1349.066667</td>\n",
       "      <td>1336.066667</td>\n",
       "      <td>1357.633333</td>\n",
       "      <td>1331.633333</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>267 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          Date    Price     Open     High      Low     Vol.  Change %  \\\n",
       "0   2020-01-30  1579.85  1576.65  1582.45  1575.65        -    0.0020   \n",
       "1   2020-01-29  1576.70  1567.65  1577.70  1562.35        -    0.0044   \n",
       "2   2020-01-28  1569.80  1580.60  1582.20  1564.60  378.01K   -0.0048   \n",
       "3   2020-01-27  1577.40  1580.50  1588.40  1575.30  398.06K   -0.0029   \n",
       "4   2020-01-26  1581.95  1571.65  1588.10  1571.65        -    0.0064   \n",
       "..         ...      ...      ...      ...      ...      ...       ...   \n",
       "262 2019-02-05  1344.60  1343.40  1345.70  1340.80    1.25K    0.0002   \n",
       "263 2019-02-04  1344.30  1346.40  1346.40  1338.00    0.53K   -0.0021   \n",
       "264 2019-02-01  1347.10  1349.80  1352.20  1345.90    0.75K   -0.0021   \n",
       "265 2019-01-31  1350.00  1350.60  1354.60  1347.00    2.65K    0.0071   \n",
       "266 2019-01-30  1340.50  1341.30  1353.20  1340.20    1.91K    0.0002   \n",
       "\n",
       "              PP           R1           S1           R2           S2  \n",
       "0    1579.316667  1582.983333  1576.183333  1586.116667  1572.516667  \n",
       "1    1572.250000  1582.150000  1566.800000  1587.600000  1556.900000  \n",
       "2    1572.200000  1579.800000  1562.200000  1589.800000  1554.600000  \n",
       "3    1580.366667  1585.433333  1572.333333  1593.466667  1567.266667  \n",
       "4    1580.566667  1589.483333  1573.033333  1597.016667  1564.116667  \n",
       "..           ...          ...          ...          ...          ...  \n",
       "262  1343.700000  1346.600000  1341.700000  1348.600000  1338.800000  \n",
       "263  1342.900000  1347.800000  1339.400000  1351.300000  1334.500000  \n",
       "264  1348.400000  1350.900000  1344.600000  1354.700000  1342.100000  \n",
       "265  1350.533333  1354.066667  1346.466667  1358.133333  1342.933333  \n",
       "266  1344.633333  1349.066667  1336.066667  1357.633333  1331.633333  \n",
       "\n",
       "[267 rows x 12 columns]"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2['PP'] = pd.Series((df2['High'] + df2['Low'] + df2['Price']) /3)  \n",
    "df2['R1'] = pd.Series(2 * df2['PP'] - df2['Low'])  \n",
    "df2['S1'] = pd.Series(2 * df2['PP'] - df2['High'])  \n",
    "df2['R2'] = pd.Series(df2['PP'] + df2['High'] - df2['Low'])  \n",
    "df2['S2'] = pd.Series(df2['PP'] - df2['High'] + df2['Low']) \n",
    "df2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Price')"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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VlZVNrjs5ObF06dKzXtexY0f27dsHcNYUzfj4+GY/VTpXW2fWX7BgQZNrGRn/3eT1+++/b/Y9CIIgCIIgCML5ZCYV4+SmolukN5KDhKuXGqPBRK2lBjelfXKgUde2SaDFbGXTZ+nYLDYmz4vh943JFCZXs25hGuMf7YfaubVTqMuvJY+I+AFIAnpLklQgSdIcYAnQveHYiB+BmQ2jgoeB5cARYBPwiCzLVlmWLcCjwK/AUWB5Q11BEARBEARBEK4gBq2Z3EMVhMb6o1A64OAgETshBDm0FgCTwj4S2NYHxu/8MYuykxpGz+qLp78zXiESY+6LoDS3jp8/OIBBe+VvXNNiaawsy3ee49Ld56j/OvB6M+UbgHOfhi4IgiAIgiAIQruXta8Um0UmbGgAACm1qcRcP5CF+k0E1AZQrC0B2vbA+MM7CznyRzEDx3VDDq5j5PLbiVXH8u/4eJQqBzYtzuD7V/cQd1sP+gwJQHJoHxvY/K/EARyCIAiCIAiCILS4zKRifLq64RNo32Cw2lyN2Wpmf9l+4rvG44oK2dGKqY2mg9aU6tiRkEXXvh0Jv8mfJxOfpNZYy6baTSzNWErHwn1MeWYgnr4ubPsmk+9f3cuB306h15jaJN5LIZJAQRAEQRAEQRBaVEWBlvJTGvrE2UcB30x+k4W7/8PyrOXoLXoGBwzGF3csSlObTQc9vKsIbDDqnj78c89rnKw7ySc3fEIvj1DeTX2XjSXb8Q1yZ/LTAxgzJxwnVxW7Vx5n7X/S2iTeS3Hlr2oUBEEQBEEQBKFdy0wqxkEhERrrT25tLt8f/R5Jkngz+U0cJAdi/GPwxQ2jQt8m00GtVhvH9hQTHOXDz8Wr2Ji3kcf6P0Zc5zjGdBmDm5Mr75duI76+FH9Xf3rG+KEK1ZNytAgMhlaP91KJJFAQBEEQhFZXV6nn2J4SfIPcCY70aetwBEFoQVarjazkEoKjfHB2c+SLXV+gVqh5cthTnCzJQ5IkPNWe+OGO3kHbJruDnkyvRK8x4xRh5N8p/2Z44HBuCb6bez/ZTKCPjX+NfonJP9/BgqQFzA6fzb/2/ovc2lwAonyiuJ2bWz3mSyGSwFamUCiIjIzEYrEQEhLCt99+i5eX1//czn333cdTTz1F3759m72+dOlSxowZQ+fOnS815L9k8eLFvPfeewB4eHjw3nvvcf3117dJLIIgCEL7YLXaOHmoksO7ijh1pBJk8A/xEEmgIFzlTidYYXEB5Gvy+eXEL9wVdhe+rr7cNfi/e0n6yu6UONRh1LXs7pvH9paQsiGP6S/GolDZV8cd3V2Ms4eKN4qex9/Fn38OfZ3Xl27ko5K/41xqgsPwiP9Q3ivcxa7CXQS6BfLi4JepSjmGtcIZZBmkK2eTGLEmsJU5OzuTlpZGRkYGHTt25KOPPvpL7XzxxRfnTADBngQWFRX91TAvyfr16/nss8/YtWsXmZmZfPrpp9x1112UlJS0STyCIAhC+7D2/QNs/CydykItMTcH0y3Cm/oaY1uHJQhCC8tMKsbZw5Gg8I58mf4lCknB7PDZjddTalMB8MMdo0KPXtey/y5kJZdSU6qj9GQdAPW1Rk5mVGLoUUqxvpi3h7/Nst3ljC/6D7JC4k3pb6RbQ7izIIVxue7ckeHOsnE/8XtSJ6Zkf86Iom/5Z/b/tWjMl5tIAttQXFwchYWFjd//+9//ZtCgQURFRfHKK68AUF9fz/jx4+nXrx8REREkJCQA9oPdU1JSsFqtzJo1i4iICIYMGcL777/PihUrSElJ4W9/+xvR0dHo9Xpee+01Bg0aREREBA888ACyLDe2M3/+fGJjYwkNDWXnzp0AWK1W5s2bR2RkJFFRUXz44YcApKamMmLECAYOHMjYsWMpLi4+63299dZb/Pvf/8bHx/7J7oABA5g5c2ZjwhscHMwrr7zCgAEDiIyMJDMzs/G93nvvvQwaNIj+/fuzdu3alnjsgiAIwl9QUaAl91DFX369xWSl+HgtkSO6cM/rcQye2B2fQDd0tSZsNvkyRioIQnuiqzNxMr2S3oM7UaovZW3OWib3moyvi29jnWpzNWjL8EzeiUnZsmsCrRYbRdnVABRl2X/P2V+ObJPZoPqeYV2GUV/XhUPbfmSUIo1tUQPRDA3n3+ZpOKlMPH2sjun7HHloWTrdc76BdCuFpd7Uy/UtFnNLuGang76V/BaZVZmXtc0+HfswP3b+RdW1Wq1s3bqVOXPmALB582ays7NJTk5GlmVuueUWduzYQXl5OZ07d+aXX34BoLa2tkk7aWlpFBYWkpGRgUajwWq14uXlxaJFi3jnnXeIiYkB4NFHH+Xll18GYMaMGaxfv56JEycCYLFYSE5OZsOGDbz66qts2bKFxYsXk5uby4EDB1AqlVRVVWE2m5k7dy5r167F19eXhIQEXnjhBZYsWdIkpsOHDzNw4MAmZTExMXz99deN3/v4+LB//34+/vhj3nnnHb744gtef/11Ro0axZIlS6ipqSE2NpYbbrgBV1fXi+0CQRCEa4pJb8FituHi4dii9ynJreXn/6RhMdmY+cZQXD3V/3Mb2mr7J/v+IR44KOyfQbt6qbHZZPQa019qUxCE9i8ruQSbTaZPXCc+zfgPAPdG3AvFh+hQdpjtlVEk5hq58dQd9A04wRrJgNUgs+2bo1gtNnoN8ico3BuHy3QeX2luLRaTDclBojCrhpibIfdgOYqOFk4qsnmi+zweX7aL1Y7LsHXsRVJoFN4aE17xkzi4ezm9uhWz3jiErNyTLHFcS/5xbyx+CtwUbpclvtZyzSaBbUWv1xMdHU1eXh4DBw7kxhtvBOxJ4ObNm+nfvz8AWq2W7Oxshg0bxrx585g/fz4TJkxg2LBhTdrr3r07J06cYO7cuYwcOZJJkyY1e9/t27fz9ttvo9PpqKqqIjw8vDEJnDx5MgADBw4kLy8PgC1btvDggw+iVNr/iHTs2JGMjAwyMjIaY7ZarQQEBFzU+5ZlGemMedJn3nPVqlWNz+Dnn3/mnXfeAcBgMHDq1CnCwsIu6h6CIAjXmp0JWZSd0nDny4Nb7B5lJ+tYt/AgamclZoORo7uLibkpuPF6yYlacjbZGDLIjJOr6pztaKrtu+e5dXBqLHP1sid+9TVGkQQKwlUqc08Jft3csXnpWbV1Fbf2uJUAF3/4chwDak7xrLWczrZCUB4gQJKodCsEBzh5uBKbVSYruRQPHyfCh3Uh7LoAnN0u7UOv/KPVSBL0HuzP8ZQy9BoTRVk1ZAftJ8I7gq+2OTDNvJ4uihIsQ99m4qP/xMHBEd+oQpZYR/LPDl/i1zufRc4fYspWkNWhAx59buDFns9cpifWOq7ZJPBiR+wut9NrAmtra5kwYQIfffQRjz32GLIs89xzz/H3v//9rNekpqayYcMGnnvuOcaMGdM4ogfQoUMHDh48yK+//srnn3/O+vXrzxqZMxgMPPzww6SkpNC1a1cWLFiA4YytbNVq+3+8CoUCi8U+/P7npO10WXh4OElJSed9j3379iU1NZVRo0Y1lu3fv7/JGsZz3XPlypX07t37vO0LgiAIduX5WqqK6jEZLDg6Xf7/0isKNPy8MA21i5Lb/jGArV8f4ciuIgaO7YbU8Kl8ysY8DDVQflJD174dz9mWtqohCezoxJHKI3g7eePWwdl+rdqIX7fLHr4gCG3MYrZSWaBl0Phgvjr8FVbZypzIOZCzDarzqHDw5g1pEbJCIs+tE8HaEko9DlJ7z14eGfI8VquN3LQK0hMLSFqdQ/K6XHrG+BExogudQjz/Ukz5R6vwC/YgpJ8vmUkl7Fufi80mc8jtD4aq7+S341l86bIaQidQvnY/7qU6KsI7Yty2lZE9ozjkGcLNjnuxyRJHigIp8usI1pbdyKYliDWBbcTT05OFCxfyzjvvYDabGTt2LEuWLEGr1QJQWFhIWVkZRUVFuLi4cPfddzNv3jz279/fpJ2KigpsNhtTpkzhxRdfbLzu7u6ORqMBaEz4fHx80Gq1rFix4oLxjRkzhk8//bQxQauqqqJ3796Ul5c3JoFms5nDhw+f9dpnnnmG+fPnU1lZCdinrC5dupSHH374vPccO3YsH374YeN6xQMHDlwwTkEQhGuVbJOpLdMBUFV0+deiVBZpWftBGipHBZOe7I97RyfCr++CptJAfmYVADWlOk6m2/+try7Vnbc9TZURJPju1NdMWz+N1/e+3mQkUBCEq4+2yv53W/Kw8tOxnxjffTxd3btCypfoVR25QfcG5R0HUoQ3L3jbl0j5GWVKdPbNBBUKB3oO9OO2fwxg+sux9L0ugBMHyln5Vup51yjv+yWXtC2nzio36i2U5dVBoJYllYtAgoydRVjVRszeGtbt6cir7ktRSDYMIXOo+ekncsb3JuPxSXSYPp2AzP3MqZnHlLL/491Bd2Ipk9E5QNewiBZ4ei3rmh0JbA/69+9Pv379+PHHH5kxYwZHjx4lLi4OADc3N5YtW8bx48d5+umncXBwQKVS8cknnzRpo7CwkNmzZ2Oz2bDZbLz11lsAzJo1iwcffBBnZ2eSkpK4//77iYyMJDg4mEGDBl0wtvvuu4+srCyioqJQqVTcf//9PProo6xYsYLHHnuM2tpaLBYLTzzxBOHh4U1ee8stt1BYWMjQoUORJAl3d3eWLVt2wamjL730Ek888QRRUVHIskxwcDDr16//Xx6pIAjCNUNTbcBitgH2TVs6df9rn4o3p7qknrUfpOGgkLj1if54+NhH7LpH++LkquLwziKC+nqTnliAg0JCRqam5PyJqLbKgNXJyOcZH+Hh6MGBsgM4u6lwcJDQiiRQEK5KmoYZAH/UbcdoNXJf5H1Qk4+ctYmvrRPxCDLz+Q2j+HVDF7TlzpgNjnQyWynVlbK7cDcrslcwJ3IO4d7heHd2Y/idvRlyWw+WvZRE9r5SQqLOPl6mOKeW5HX28/vULirChv7358/CY9XIMiyrW0yOJZ25vsMwlzlw3DMNbymWzvp0xjimsiU8hl6LlqLw9GT8C0vZtvsPUtiHl1rJoozvUDmrOfWrkQpPFwC69Ak/K472TiSBrez0SN9p69ata/z68ccf5/HHH29yvUePHowdO/asdhITExu/Pj36p9FocHd3B2DKlClMmTKlsc6//vUv/vWvf523HR8fn8Y1gUqlkvfee6/xrL/ToqOj2bFjx3neod1DDz3EQw891Oy10/cA+4Yxp2Nwdnbms88+u2DbgiAIAtSW6hu/rizQnqfm/6amTMfa9w+ALDPpqQF4+bs0XlOoHOh7fQD7fz3FLx8fojCrmp4xfuRnl15wJLCuSk+FopjbQ28nwjuCBUkLOKU9hYuXI/XVIgkUhKvR6SRwXekqxvYaS4hnCNYt/0SSZdYpxxIzNIt62YxPFwMFqb7U61zpZDOTUp3NQ1sfQpZltp7ayl197mJu/7m4qFxwdFIS1NebvIwKbDYZSYLdq3Lw7uJK79hO7PopGycPBe5+ahK/y8TT14nOvToAkLmnGKvSTKlbHt5O3pxwSacr/cjtcIisY8NI9PiCaoU7ObUBdNm3j04LXqG6tprMlcswaerw7x7IdVZH1OHhOK1cwe7YEBxxxjc4pC0f818ipoMKgiAIwhXodNLl6etMxWVMArd9fRSrRebWJ/rToVPT3ZnrNm4kdmJ3hkzqTuGxaswGK1HxXXH0sE8NPZ+aCi1adTUD/AYQ7RcNQFp5Gm5eajESKAhXKU2lAZCpUJRwf9T9YDWj3/sV263RzJ08Gidn+1q6m/t0B+CU1Y+uGDHbzIzsOpLfbv+N23vdzrKjy5i0dhK/5/8OQLcIb4z19qmdRdk1pP12iq1Lj7L6vf2U5dWxs8sqFvrMR+lpY+OnGdSW6zmZUUluWgUpAb/y3NBnubHnGPZ4/EqBz1GqOtRyp+UIAYYcfgmPo/83R1GHhuJ44w38+Mp8bFYrwf0GUKF0oP7oUerWrsWpVygGj4506d0XBwdFWz3iv0wkgYIgCIJwBaop1aFyUtC1b0cqi7TIl+msvZoyHT0G+OLd5eztzs0lJSiUDgwcF8zfXhvCLU9E4x/igdpdQlttxGRo/mwvWZbR1VjQOFYT5BFEiGcIzkpnDpYfxNXLSWh1IH0AACAASURBVKwJFISrlKbSgM6xjhHdhhPaIZTcXQm4mSvJDZ7OuIhOALiW6+hZk4+ns4o0h+5M12j4IOZ53ot/j3xLAS/FvcS3N32Lq8qVR7c9ylOJT1H5/iMg2ziZUUn69gLUrkqibwyi+HgtSj8LqZ7b8fRw4+ug1zFYDPzy0UG2fJdOjXMpDhE2JnafyIAuA1D6Wljf61MMVd35h3IF2f6BqPcrcC/T4f/8cxz4bSNGvY7QiVMZOOE2rDYrFZ5uOLi64v3WmxhLq+lyBa4HBJEECoIgCMIVqaZMh5efCz6BbpgNVuoqDRd+0QXYbDJ6rRnn85w7qDPryK3NxdVTTdc+9t1A1R72a7Vl+mZfY9CakS2gVVfjq+7C9M/24iIFsW/fz1i2/IymuKZxU7D2QpZlSnJrsVpsbR2KIFyxqio01Korie0Ui95kpWbHpxTjyx13zgKgY6mZ8c/swO/ZxQzt4c02p0jcZZm4gzmk5dfyakIZx8s0RPtFs3zCch4f8Dg7Cnbw+MgsnCz5ZCWXcCKtHGVfLW7D67nt6f78FrYED0U3KH2Enl2i+bnHx1SVajFU20gNWs1d+/fy8NI3cZAUzI6YjQNKHtZk44yRzd0GEbkqG/3wKFT9okjbvJ5esXE4d/QhMCwClZMzuptupNs3X1NWZ98gK/AKXA8IIgkUBEEQhCtSTYkOL38XvAPtI3aVhZc+JdSgNYMMLu7NJ4EHKWDyz5O5Zc0tvJb0GhqTfRdqj8JMwL6hTHNOrwuyuhp4eXUuyXlV1Gn8OOVhQpLrsDo4YjJYLzn+yykzqYSVb6WS8K9k8jOrqCzSkn+kCrOpfcUpCO1ZXaUerbqKru5d+XLNJvpb0zFFz8TDxQlzaRmT/3kQ5yo9iso6pvfxZL+iFwCm0kyeSkgj64SBmxdtZ0dWOSqFivsi72PVLatwkOFkhyPUVRiQgc+sbzJr0ywWl/6HY6bDVOQPQl9QSNXuINzkDvwauoQ/uq3gpbxdDCw5xft575L/3TpCFKOJOzmBOfIedvSMpt+iTCSFgppHb+PQlk0Y6+uJveV2AJQqFcFR/ckvKcCxZ08Kjh5GqXLEv0evNnzCf53YGEYQBEEQrjAWkxVNtYGwTgF4d3YDyZ4Edo/2vaR29RoTAM5/SgILNAV8kf4Fq6SVdCGQqaFTWZm9ku3525nZdyY99IVIUu9zbg5zept4k6MDW46W8Q/1cvbXKUjxgyrnanudagNq57OnoLYFo95C0urjdOzsitlo5ecP0hqvDZ3Sk/43BrVhdIJwZbDZZIx1VjQB1ZRVueFy6GOsKiXdbngQWZYp+sc/sFRW4vPII1R89BGDHOqIc1dQaupAdnE+N6l+5GmnH8mQQtj8TSw1w6dyy403EOQRxIgcNX90S2fy4ZswBVVidtHRw6sHK7NX4mrz5EdDAuGqAgDkSjhU7IbtiBtOlZ6UOEjo73LhvpqvyV62hZckAzUmD8zblXTKraXLp5+S56sn9ePvCYqIolPPUDILigDoPmAQ2cm72ffzSo7uSiSgV2+UKlVbPua/rMWSQEmSlgATgDJZliMayhYA9wPlDdWel2V5gyRJwcBR4FhD+R5Zlh9seM1AYCngDGwAHpfb25wRQRAEQWhFteV6kMHLzwWVWnHZNofRNSaB9h9q8jX5fH7oc9blrEOSJKYwgKdv+QQXlQu39byNd357iXdT38UjSM0D1nHUlDSfBJ4eCTypszIs6Ahzy9awvb4P+21Q6FWNu8l+VqB35/aRBO5bl4tea2bi3Gi8OrmQva8UlaOCncuzqCq6fJvwCMLVrL7GCDYJjbqK99fnsFm5E8JuATdftNu2oUtJodMrL+M6bDgVH32E8fhx5vnpyC0MJMI5m+ulNE74dcbLrGNedQLsTqA6pROe/SYyscjCL2GFEFvOL7avGeg9kuG9RnHiyzfwcTPT26GI9X2HEpfXj6p1Ozmukijxd8PL24Z/eTUlXuHI/W8lLOknXDWVnNjTi6DiAnyffBK3ESMw/bIYbXUVYx9+ssl7CukfA8DO75fiHRhE/Mz72+LRXhYtOR10KTCumfL3ZVmObvi14YzynDPKHzyj/BPgAaBXw6/m2rxivP7664SHhxMVFUV0dDR79+5ts1g++OADdLrm/8M2mUw88cQT9OjRg169enHrrbdSUFDQyhEKgiAIzaluSLZOH9/g08WNsry6S16/dnoksEaq5MVdLzJx9UR+OfELd/S+g42TN/KoHI/KwYnfCpOJ9I3kPeOtLBq1iDqlEauH/pwjgbWVOswOJuotHtwlbQYgQi4isEZJjrd9XU172RymslDLocQCwq/vjG+QOypHBX2v60yvQf506OR6wV1QBUGwO/3hj9HRzHBdMm7Uoxh8P7LFQtm77+EYHIzX7bej6hyA5OyMKSeHjkqZgJ7ReEn11Nd7sSR+Ih+Pux3rk0f5JfhZUvSdMad8w3U9ThBWA4uV/0epKp/R+7cSvWw+083VPGQ+wpby/nR9s4CyJWsp7hpInq8XHfpGoO0SwKGufly3X0FN7zjcnkylsGwypuJ66m8egvcD92OzWSn/LRW/kB50i4xu8p5cvTpw3bQZxN9zHzPeWohfcPe2eLSXRYslgbIs7wCqLqUNSZICAA9ZlpMaRv++ASZdjvjaQlJSEuvXr2f//v0cOnSILVu20LVr1zaJxWq1njcJfP7559FoNGRlZZGdnc2kSZOYPHlyu1u4LwiCcC06nYh4+tkPcQ+N7YS22sj2ZZnIsozZaKWq+PyHtzdHX2ffrn32jhlsytvEnX3uZOOUjTw3+Dn8Xf0B+Hh7Dg8sKuf937KwyHBdl+twsimpdi6lplTX7C6l5eXVaB2rcTS7M7LiABaFE75SHZ3q1I1JoLYdnBUoyzI7fszC0VnB4Fu7Y5ObJtVenVwueB6iIAh2mobNqipkK/e6bgTfMAiKo2b1akw5Ofg+9SSSSoXk4IA6JARjzglUnTrRbehUTE59cF2wH5VJiZvCDYVnZ8bPeo7KiV8z0PgZuZZO3Katxybb6Cz5MdWcg4RMF9dSNpUPpOv2EipDvfH45CMOKC0EhkUw/dW3GDnzfmRJovTgARxq66nbuh3N9j24jR5N9TPTkSSJ4/v2UF1cSOytU5Ek6az3NWTyNAaOn4RCeWWvqmuLjWEelSTpkCRJSyRJ6nBGeYgkSQckSfpdkqRhDWVdgDOHnwoayq5IxcXF+Pj4oFarAfvh7J07dwYgODiYiooKAFJSUoiPjwdgwYIFzJgxg1GjRtGrVy8+//xzwH7I+/Dhw7ntttvo27cvDz74IDab/T+rH374gcjISCIiIpg/f37j/d3c3Hj55ZcZPHgwr7/+OkVFRYwcOZKRI0c2iVOn0/HVV1/x/vvvo1DYzz2ZPXs2arWabdu2kZeXR1hYGPfffz/h4eGMGTMGvd6+I1xOTg7jxo1j4MCBDBs2jMzMzBZ6moIgCNeumlIdrl5qHJ3sP4R07+9L7MQQju0pYd2HB/n6uT/44dW95Gf+b5/F6jQmbJKVsIBQNk3ZxPzY+fi5+DWps+1YGWoHI0WJn5N87Cdyp9xOD0NH8qRjWM02CrKqz/rAsLZSh1ZdzShbHk5WM8WRDwPgb1JR7m5Gaa1vFyOBWXtLKMquIW5SD04Yshny/RAyKjIar3fwd8FYb0GvNbVhlIJwZTg9EihhINRUAIPmYNPrqVj4Ic7R0bjfeCNg//BF2aM7xpwcPG66CbqPQOP/INW/bGXqnWuY/XElxhO5AEyPDeLzOcP5yTaCW61VhHl0Z0KpkSrJnc/GT2Jy9Zu47jWh8uqA5dXH2PLLSlRqJ8Y/9jQOCgV+IT0BqFUrcf9uC8XPPY8yIIAu771LB2cfZFkmec0KvDoF0GtwXNs8uFbS2insJ8A/Abnh93eBe4FiIEiW5cqGNYBrJEkKB85Ov+2vbZYkSQ9gnzqKv78/iYmJTa57enqi0dh3Mqt59z1MWVmX+n6acAwNxesfT53zelxcHAsWLKBnz57Ex8czZcoUrr/+esD+F0Cr1aJWq6mvr8dqtaLRaDAajaSlpbF161Z0Oh3XX389I0aMQKfTkZycTHJyMkFBQUyePJk1a9YQFxfHM888w44dO/Dy8mLSpEn88MMPTJgwgfr6enr06MGWLVsA+PLLL1m3bh3e3t6NzwUgIyODwMBAJElqUh4VFUVqair+/v5kZ2fzxRdf8N577zFz5kyWLVvG9OnTmTNnDu+//z49e/Zk3759/P3vf2f9+vWX7RkbDIaz+vVKodVqr9jYrwWif9q3a6F/bFaZkgMyPmESjq7N/fdnZzXLHE+TcfGhyTORXWS8ukP+0So8uoJcDRsXp9HjJgmF6tztnangmA29Uouv0ZeMvRlnXVfnZhFjTeFzpw34WatABVuHTqeHRuIP12T6SPH8/EEaSmdwCwD3AAmlM9RXmNB6VfOAbR9FXoEcLvclQO+Al78/UIPFTeZkThGJiSUXFafFKJO/S6ZLrISj+8W9twuxmmSyf5Fx9oYySxafbv0UvUXP17u+ZrzXeAA0ZfYfQbZv+gMXn8tz39ZwLfz9udJdjX2Un25Br9TR31aM0cGR5LouOC14Fbfycspm3kPe77+jqygjb9tGVFot1xcX8/umTchOTnhkZ+O4ZStmHw9qtm6lduNGDIMHUz/+Zqy+vphDbkBdsJxHDpkYaj1M+qEwxhemM0Ndi6u2kqp7ZpCdkIgh/yS9JtxOyqF0wP7ztsJRTU0HT4K+34LFzQ3dqJHsSErCZrXwbdLLlJ/IJmjEjezYsbPxvVyN/dOqSaAsy6Wnv5Yk6XNgfUO5ETA2fJ0qSVIOEIp95C/wjCYCgaLztL8YWAwQExMjnx5NO+3o0aO4u7sDUO+owtYwynW5qBxVje03x93dnQMHDrBz5062b9/O7NmzefPNN5k1axaSJOHm5oa7uzuurq4oFArc3d1Rq9Xcdttt+PnZP4kdNWoUR44cwcvLi9jYWKKiogC4++672bt3L15eXowcOZKQkBAA7rnnHvbt28edd96JQqHg7rvvbhzdO/OeZ3JxcWm8f5P3p1Lh7OyMm5sbISEhXHfddQAMHjyY0tJSJEli7969zJ49u/E1RqPxvM/kf+Xk5ET//v0vW3utKTExkT//mRTaD9E/7du10D8VBRqO/rSP0L4hxMQHn7Ne6qY8rMYTjPnbQDp192xyTY63TwV1dFJSnFPLqndSUZQFEP+3PhcVw+r0fehVBQwKG0R8n/g/3XgpVofFxDlYyHYL5OeI6xiwM5NBpq0Uagfxs/9xwp5Q0rkqlLz0CvKPVFFzwn6cggOO1KmriTQXsyZ4OH3f+o4Cjw6E9ysAb0B3EqsymsExg3F2O/cZhaedOlLJsfKDdHLrRVR84AXrX4wdP2ZhMxUw8e+DKHbO5ciGI0hIlKnLGv/s1ZTp+G7HHkI69yZsaOfLct/WcC38/bnSXY199GPqbjTqAkZbc0kL6kncgCHkzH8Zl9GjCbvvPtK3b+bAqu+xWS0YHRyQgdguXXCOjOTUd99TX1eH6YtX6N13DJWff0H199/jnJKC1223MfiBB0hd0o8R8m50lY44Z1bT+XgtCssxVN2CcIsbhOHT/zBk8jSumzajSVzlOzajO3US+UQhTs8+Teq+XbglbUdbVUn5qTwG3HwrI2bci4PDf/OEq7F/WjUJlCQpQJbl4oZvbwMyGsp9gSpZlq2SJHXHvgHMCVmWqyRJ0kiSNATYC9wDfHg5Yun0/POXo5n/mUKhID4+nvj4eCIjI/n666+ZNWsWSqWycTqnwdD0wN8/z0c+/X1z5edbs+fk5NSYAJ5Pz549OXnyJBqNpkkCt3//fiZOnAjQOKX19HvS6/XYbDa8vLxIS0s7q01BEATh/PRa+3q8khO156xj1Jk5sPkUwZHedOruyers1aTu/4UXpyzCSemEJEmNU0QDengSPboraVvy6THAj65hHS8Yg6bWgF6lwdflT4lVTT5seo48QyeelB+k9x0lKBQy5cowBpjfZrClFIUNDmkPMCpuBH3iArBabJSd1GA2WHg35QPydclIpVBb7oKt+jj1Smd6OGhxtEiUuW0lQB/J5i8OM/GxaBwczj/Kdnr94OU4GxGg/JSGjN8LiBjeBd8gd17e8gleai/GBo9lVfYq9BY9zkpnPLydcFBIYnMYQbgImioDWnU1PSwGDnfqTLePP8Gm1+P31JOYDHp+//ZLAnr1JjiqP38sX4ZRqcB4PAdVYCC6vXtxGz2asOunA+A//xk6zp5F5WeLqVm+nNo1a/B5+HYoTaMg2wfJxYWw7dvQHzvGgSMHSf5sIV3Do4ibetdZcfmF9CAt+xj1y98md/tRaoqLkJCwmE3c8o/n6RU7tLUfVZtosTWBkiT9ACQBvSVJKpAkaQ7wtiRJ6ZIkHQJGAqf3XR0OHJIk6SCwAnhQluXTCxkeAr4AjgM5wMaWirmlHTt2jOzs7Mbv09LS6NatG2BfE5iamgrAypUrm7xu7dq1GAwGKisrSUxMZNCgQQAkJyeTm5uLzWYjISGBuLg4Bg8ezO+//05FRQVWq5UffviBESNGNBuPu7t7k+mep7m6ujJz5kyeeuoprFb7p7jffPMNOp2OUaNGnfP9eXh4EBISwk8//QTYh9wPHjx4sY9HEAThmmY4nQTm1p7zA720LfkYdRZib7FvWrIobRFrDXt5aMtDaE1nJ0SDb+mOl78L2749islguXAMGjN6lRZ/F/+mF359DmSZF/X3oqx1QOFgw+9IBeHFGv6whtPN+Qg9KhXsL9sPQJmujE8zPuGBQ3fzavEzpKh+p5tVS6GLN/677evfLUYlAaoqAmsU5HifYvj0UAoyq0led+KCcWob1hpdjiRQtsn8/sMxnNxUDL61O/tL97OrcBezwmcxPHA4ZpuZQ+WHqNu4EQeFA44dpcbdWQVBaJ4sy5hqbWjUVXS1WKgxu1GdkIDX7bej7tGDjO2/YayvZ/jfZuPbsMOmwcUJU85xSv/vDWSTCd/HH2vSpsrPj04vvUiPXzehCgzEtnoXlVV+WAtAdcNoDiXtYM3qH0jeuJbwEaO5bf7LTUbzTvMP6YHVbCLQqRfHU/YQNiyeGW/9h3s/WHzNJIDQsruD3inLcoAsyypZlgNlWf5SluUZsixHyrIcJcvyLadHBWVZXinLcrgsy/1kWR4gy/K6M9pJkWU5QpblHrIsP3olnxGo1WqZOXMmffv2JSoqiiNHjrBgwQIAXnnlFR5//HGGDRt21mhdbGws48ePZ8iQIbz00kuNm8nExcXx7LPPEhERQUhICBMnTiQgIIA33niDkSNH0q9fPwYMGMCtt97abDwPPPAAN91001kbwwC88cYbODk5ERoaSq9evfjpp59YvXp1s7sknem7777jyy+/pF+/foSHh7N27dq/8KQEQRCuPaeTQGO9pdmRJr3GxMGt9lE9367u7C/dT5mujBvkPqSVpXHr2lt5cMuDLNy/EIPFniQpHRWMuicMbbWR3SuPXzAGc72MXqXF1+WMQ+ezt8DRdeiGPEmScx9GlKQz8Ylt3PTcTnptX8uy2tE4Oejpp7GSUXaIZ35/hrErxvLZwc/wcfYhvSyDOnM1MeZKsjsE0nVfCUgSDgYbnop6guocyPey0Pf6zoQNDSB140lyD1WcN84zRwKb2430f3F0dzGluXUMndITSS3zatKrBLgGcEPgbXy5BSQkUkpTMJfY1ysqfKxiJFAQLkBTaQCLA/WOFTjKSoLWFiIplfg8+gg2m5X9G9bSOTSMzqF98PCx/3tj6RxAdcJy6tatw/2mm6BLZ9I2byDv0AF0df+dIaHq3Bn/55/DfCofTelArLLE5opTbPvqMywmI+MefpJxDz2BSu3UbGx+IT0A2LPqRyxGI32GDm/5B9IOXdl7m15hBg4cyO7du5u9NmzYMLLOsVFNaGgoixcvPqvcxcWFhISExu9Pj+rddddd3HXX2cPfWm3TT0znzp3L3Llzm72nWq3mww8/5MMPz559GxwcTEbGfzcMmDdvXuPXISEhbNq0qdk2BUEQhHMz1Jsbvy45UUuHTq5Nru/ffAqLyUrsRPua7015m3BSOPGU+Qam3vAkPx37iUJtIZ+nf86uwl18MPIDOrt1vuhpoWajFSwSBlU93+zPJNzTiouDhdhNTyJ5dCfBcRJwnLiCg6hlPQfv6E2/5ccIwJM8WyeGSrX8hCc7C3dyZ9idTFEF4rfhZVL7jmdLlRP3aD7jd60L/pZy3MeMQbN5MzYrdDfYSHSVqTPVMXx6KBUFWrZ8dYQ7no/B09el2Vi1DTuJWkw2aiv0ePk1X+9MujoTNqsNtw7//cHQoDWTtDqHgJ6e9B7ciY/SPuJE7Qk+ueETftxbxu+ZGvwifdi5dSnjfvPGe/ZsHH2gNkuPzWrDQXFxn6Vrq40UHqsidHCnC36YKghXg+Ice9Jmdc7lZJU/IbsK6fjQg6j8/Mjas4vaslJG3D0HAPeGJNDk440t8zhuo0fT5d13+H3ZElJ/WdPYpluHjvh2C8E3uDuduvfCZfhwdDt2UN7FH129llvmvUCvQRfe0bND5y4oHdWc2L8Ptw4d6RIW3gJPoP1riyMiBEEQBEH4E4PWjMpJgdpFScmJuibX6muMpCcWEDq4Ex0DXDHbzGzO20x813hccGRo56G8P/J9lk9czuNDniBfk8+0VZPJ1+QDf5oWqm9+Wujpg+J1CiOL1mt46Lv9pHy/AGfNKe6rmMarG47jbtbhXl9L/qBOHJwehuTiQpy5jG+sNzJaquUDUzxbp25lntyR4DWPoDTWMvzA1/wtdwOOFhUeKXVUB7njOsy+M7bVoKCb2b7s4ETNCZSOCsY9EIEkwcbPMjCbrM3Gqq0y4NbRvjb9YqeE/rbkML98fKhJWdKaHIx6CyPu7E12TTZfpn/JhO4TGOgbxw/JpwBQyl041sHAUQ8Nb+97G4NbHTarTF2lobnbNGvr10fYsvQo6YkFF64sCFeBkhO1mBUm/JUnMKQp0Hs64j3HnvSlrF+Nl38APQYNBkDt4oqjszPmLp1wiYmh85tvYDIYSN/2K71ihzL1pdcZMWMOQZHRaKsqSVm3ip/f+z9ODYpCUqspDvDBzduHngMHX1RsDg4KfIPtH6aFxg1rdsrotUAkge3cggULmoy0nRYfH39Zj14QBEEQ2pZea8bZTYV/iOdZm8OkbsxDtsoMGm//wWVv8V6qjdWMCxl3VjvdvLvx3fjvsNosPJX4FAaLAaWjgtEzw6ivNvLHquanheoaksB6SaZH7xK2zO7Gk07rqOh2M3Nm3sundw9g4eHvQZYpHdAZV4UrprDeBJflss4Sh0VWEJP6K+YnYnHY8A9+N0XyQ94IDtcHEaY4RU5BZ/yOVXP8hmCUvvZP/mv1LnST7Ulpxi77J/4ePs7ceG84lYVadnx/7Kz1kbIso602EhTujSRBZcGFk0CT3kJRVg0VBVqMDUlwaW4dR/4oImpUIF4BzizYvQB3R3eeGfQMa9IKqdGZ6aM4iWwIxqKA58bX8e2RbzliOQBw0VNC849WUZBZjYuHI3+sOH7ejX8E4UplqDezaXEGdRX2c6OLc2oodcslVGvAKd9E5vgeKNzcKDx2lOLsYwy4+ZbG5EuSJNy9fTG6u9Nt2bco3N1J3/YrJr2e2ElTCYroR8yE27jpkae45//ZO+/oqMrtfz9Tk0nvPaSQENITQidAkC6CIIiCotjBC4hYESxYrg1RqQooKEVsIC1Ik94DBEggCaT3ZFKn1/P7YzDIRS9cfwr6dZ61slYy57ztnDOZ2e/e+7PfX8jUL74jqkt3Th/ci+faVdSYDcSmZyAS37hZ4xduCwn9p4aCgt0ItGPHjh07dv4SqFq1FBkuYvJtobFag0FrCw9tVerIPVhFbK9A3H0VAGy8tBFXmSu9g3u3tc9qOdn2e6R7JNP3uZDfkMcbR99AEAQCIt1JHtCO8weqKDl3bc6drvVnI1CEp7eaqJNvIBZL8blrLv1i/BiSEEh0rM0ITR74AN32ebDL3Iq28CI9RGq2WrvjHlCLu285K8yDaWrsSY9juWjPOFKqCkFyVkDv4UjR0GhyL+VR6+pEqc6PMLkWuRkKW4vb5hKW4E2X28PJO1pD7oGrK0MZdWZMBgsefk64+zmhvAEjsLKgCatVAAFqi21G2Nm95Tg4Sel6RwRrLqzhnPIcL3Z9EQ8HDxbvv8B4nyJ+lM2kS4OeXsVyHjjhRIJ3Apes5wForNZcd1zBKnBkQyEuXg6MndUFF08Hti4+y66V5zm1o5TS3AbUTfr/qux98JuLFJ6uu+5YduzcSgpP1VF4qo4zP5Vj1JtpqNRQ41pMSpnt2a5Osm38nNyyAUdnFxIyBl7V3s3HF1VDPQBWi4VT2zYREptAQPvoa8aSymSkj3sQs8HAD4s+QBAE4npfq2/x30jqP5iuI+8mIKrD71nu/wnsRqAdO3bs2LHzF0DVqkUjaeW8NAsEqCm2hYRmZZYgEonofHs4ANtLtvNjyY/c0/Ee5JIrNfWaTE2sPVbGJ5tMGM1WOhXD2GwFmwo38W2BTbW52/AIvINd2LXifNuO/c/oVDajUyNISTecg4IfIeNFcA9uO8dcV4djXBz+Wh/O7v4RAVBJRIxW57FaGIrKquA14wPku99Dh0OZnE3sgKA0INb0QVCbCJs8nR6+fTi6dzsV3m4UaQPxdmomtEXMBaqxWK+Ef3YZFkG7eC8OfnPxqnzJn0VhXDwdEPuZbigctOx8I1K5GERQU9SKYBUoP99IWLw3daYaFmYvpE9IH4ZGDGXH+VrKlWYmuR0CoK/uAs/udWVUjoIugV0o0V3CO9SZk5kl1Jdfq7D9SwpP11NfpqLb8Eic3R24fXISfmFuVFxo5Mj6QrYsOMMXMw/z2TMH+GHeKerLru6vrENGBwAAIABJREFU6lIzZ34qJyuz5Lpr/KtgMVlv9RTs3AKKsm0bS/nHaqi62AwCKF1KCK0UY5GJaYjyoLmmmosnjpA0cCgyx6tFW1x9fGlV2ozAi8ePoFLWk3bHqN8czzs4lPiMAagblPiGR+ITGvY/zdcvPJLe4x78R+fo2o1AO3bs2LFj5y+AQWtGL9Ow37gDuULK/nUFlOc1kne0hoQ+wbh4OlKuKue1w6+R5JNEt4jubW0FQWDDQTOrfthCRtE6nshcBNiMwPTgdN4+/jZn688ilUsYOikBQYAfl+Zg/kXOXWuLzbNlFCTcX7QdfDtC98ltxy0qFbrsbBx69mDH0gU4e3gCoHaU49FYS3L3/iQal3OkJZHHjn1NRZAPFWILxcmxqPfuRezijMc996Arr8NiMmGUiqnS20I6+9VZyRVVM33vdLQmW5ilSCwibWg4FrPV9qXyMqrL5SFcvRwR+RloVeqvW/6i7HwjITGeeAe5UFvUgrJCjU5lIjTOizlH5iAWiXm5+8s0aU3M2pBDqIeSoJodWBHRRziLTmzT0UvxTcEiWAgfK0WukLJ5wRla6n87LLQoux5ndzkdugUA4B3swvCpyUx8N51HPujNqGdS6XNvB6LS/Giq1bJpfjZNNVc8jKe2lwKgLFfTXPfXVyRtqdeydPo+zu6x5z7+kzDqzFTkNyLxM2HQmDn6QyECAn7ScrRKZxpjfJDJnTiZuRGxWELq4Duu6cPNxw9dawsmo4Hi0ydwdHWjfacu/3XcnnePx8HJmeQB14bF27k+diPQjh07duzY+Qtg1oJeqqHaVEnyRE/0ahObPspGIhXRaUgYJouJ5/c9jwgR7/V9D5Xlitdo+YFifjxqYoXbMqZKf+CR0+uwSECMiHd6v4O/kz8z9s6gUd+Iu68TAx6Ko75MxQ8fnm4zqhqbWjFIdPThIj66Vrh9LkhkbWNojh4Fi4ViRwnNNdXcPvVZ5AoFGk83RCo1U2+LYlztSd47/w3a8zkUBXgjkcmo0qkxJSXg0q8fYkdHtIW28E6jXI5VK0JlUfBwi4pp1n7sr9jPhG0TqFZXA+Af7oZULqYiv+nKPC4rg8678B4mL5sX8PSOMo5vKWbPqgtsnp/N2jnHWD5jPz+tukBzrZbWeh2eUXLcQqXUFLdSmmPzWuQqjnO0+ijTO03H38mfWRvO0aIzMilyM1KrhV0BPfAVtaDxsnkLkn2TAcgznGPEUykIFoFNH2ejaTH86j1VlqvwDXNDLL7W2+DoLCMo2pPEjBAy7uvIqBmdEIlFbPo4m4ZKNcoKNaXnGohLt5WFKjx180NCc/ZVsOcGa0yCzctqtQgc+KaAouz6P3l2dm4GBt2vl6z5JaW5DVjNAut9l2B0UtNQqaHRqZohrdVYGwU6po/ixaAZ5OzdSWx6X1y8vK/p42eFUJVSScWFHEI6xl83x8/V24dJn64iacDQ37/AfzB2I/AmI5FISElJISEhgeHDh9Pc3Hz9Rr/Co48+yvnz53/z+MqVK6mqqvrN438Wb731FikpKaSkpLStNSUlhfnz59/0udixY8fO3wWzyQImEXqpzQuUK8nizukpKFxlpA0Nx8lNzsenPianIYc5veYQ7BJ8VftNZ6p4xP1HAgxFHPZNoqc1F0VqNSKxFXcHdz7M+JBmQzPP73ses9VMRJIPgx9LoLFaw9dvHafqUjMtzRr0MjV3CLnkBkdAxJV8Q8FopOnLVYhdXCiuLCUwOoZ2Ccl4B7dD6+6OqLUFDyc5T6d44NDSRE3nFPR6HcOmPYdEKqVuUAaut90GgLHIZhwYpRL8dM1kG6Jx8mrlLiGZxf0XU6WuYtzWcZypP4NEKiYwyoPKXxiB6iYDiAR+rN9CnigbkVhEVmYJJ7YUU3yuAb3GhKe/EyEdPblwqJotC88AsKRxLps132DUmcnZX4VHsCPzzr9HJ79OjI0Zyw/ZlWzLqWHGwBjSa89S4+5F8IBFWAURjj42Y9Nb4Y23kzfZ9dl4Bjhzx5RktCoTWxaeaROc+RmTwUJTrRbfUBd2l+3m4e0Pc6npt2s1evg7MWJaCmajla/fPM62T84ic5DQY1R7/CPcuHTy5hqBFouVY5uKOX+omvXvn6K1QXfdNsoKNWKpCL8wN3Z+lsuJrcXUl6v+a86jnb82h9dfYs2rR9m+PIfmWu2v3sui7HoMMg2N7hWc8doPQK1LMX3KtYgEcErrzNmd2zAbDKQNG/mr47h524zAqvzztNTVEhqXcEPzk8rl/+iQzv8f7EbgTUahUJCdnU1OTg5eXl4sWrTod/WzfPly4uLifvP4rTICZ82aRXZ2NtnZ2W1rzc7OZtq0aTd9Lnbs2LHzd0GvthkQIoWFKI8oDlUewi/MjYnvptN5aDj7K/bzxfkvuCfmHgaGXS2o0GQWUVJVzZPmHyj2DUR998vMd3mKdi41+MSWgdVCrHcss7vP5ljNMRaeXghAVJofY2d2QeEiJ3PJWVRVRnQyFR0sLRQGhLT1L1itVM2ajfbECVxnPE1t0SXaX5Zi9woORSUWkNbW0bBiJeo9e7AAF2UCYUmpRHftScf0DHL3/YQsvReCIKApsn02mUTgZ2hhs6g7EpkFXebnBE2Zy5rb16CQKnj4x4fZWrSVkBhPGqs0aC8L16gb9QhOJgSRlXxdDvfN6caEN3swaUEGD7+Xzt0zuzB0UiJDHk8kbWgYLfU6ZB6QbTjOOclxwOZNrPUuQmfW8WrPV6lpMfDKxlw6h3nyeHgtYQ21nHVpj3TC/ZxuisTf/YoBFu4Zzpn6MwiCgH+EG0OfSKCxSkPm4rM2Y/4yDZVqEMAlUMYbR97gRM0JxmeOZ1Phpt80inxCXLhvTncSM0JQNxpIzAjB0VlGVJrfTQ8JLcttRK8xkTqwHapGPd+9k3VdZdOGSjVegc4MezIJv3A3jm8p5pu3TvDFzMPsXZNHyTklZqMFndpI/rGa6+ZU2rn11JW04uQup+SMkjWvHmX50/v57t0sdn95gdM7yig5q6ToXC1Fnmd5wmMADaEFGCQ6HJ2yKWkKwyoGeWICp7dvISwpFd+wiF8d52dP4IWDewAIjr0xI9DO78duBN5CevToQWVlZdvf77//Pl26dCEpKYlXX30VAI1Gw7Bhw0hOTiYhIaGtOHxGRgZZWVlYLBYmTpxIQkIC3bt358MPP+S7774jKyuL++67j5SUFHQ6Ha+//jpdunQhISGBxx9/vO0DKCMjgxdeeIGuXbvSoUMHDhw4AIDFYuHZZ58lMTGRpKSktqLxJ0+epG/fvqSlpTF48GCqq6tvaK1ms5nIyEgAlEolYrGYw4cPt12HkpISlEolI0aMICkpiZ49e15VkN6OHTt2/i+j19gMHLmThPTgdE7VnUJr0iIWi6jR1DDr4CxiPGN4rstz17Q9ppXzL8kPeFrUbElNRyQW03nkVN403oe7bxOWrc+BIDAyaiR3d7ibz3I+47bFKUzInMBXNV/Q5SFbvpqpUYxOqsbPbKHCy6+t//p582jdvBnf6dNR+tvCuCLTugLgHRKKzmhAFxhA3bvvYsjLp+GOwejUKnqMHgdA2rCRmI0GTm7dSGNVBXpVK34RNnl2T2cJ20WdERDj5KLE0tREpEcka4etJdE3kRcPvMiBipUAbd5AVZMBrYNNNKeosQiFlxQ3HwUS2bVfabqNiCT97mjOR+3FzcGNFsd6RAqbcMkRyU6SA5IJd43gue/OYLFa+TTuLJJVd9Lk7Iq6yAFrUxPFDUEEKpS4B9XDzleJcvRGqVNSpbEZs+3ivOk/MZaqS83sWJ6L1WLrX3nZwNmm2kCjvpFHOj9KrFcssw7OYszmMWwp2oLZem2YpaOLjN73dODhuel0v9P2udm+k+1+XMq6ed7A/KM1OLrI6DYykjEvpCF3lLJh3inyj/725359eStnrMc43LSfUc904qF307ntgY74R7hRcLyWrYvOsvyZA6x47iC7Vpxn/1f5N209dv53LBYrjdUa2nfxIWmqC14DjLjEW9GhoehsLYfXX2Lr4rNYDSIaPAt4+NQSXq86wpedXyReeg6NwZGmCA8unjmJpqmRzr/hBQRsIaIiEWW553BwcsY3LPzmLfQfivRWT+BWceCbApTlN1Zg9kbxCXWh99gbk5q1WCzs3r2bRy4XztyxYwcXL17k+PHjCILAiBEj2L9/P/X19QQFBbF161YAWlqu3oXLzs6msrKSnJwcVCoVFosFDw8PFi5cyNy5c+ncuTMAU6ZM4ZVXXgFgwoQJbNmyheHDhwM2A+348eNkZmYyZ84cdu3axdKlSykuLub06dNIpVIaGxsxmUxMnTqVjRs34uvry9dff82sWbP4/PPPr7teqVRKZGQk+fn5XLhwgbS0NA4cOEBqaip1dXWEh4czefJkunXrxqZNm9ixYwcTJ04kKyvrxi6+HTt27PyN0alt6pdmqQgPV19MVhPfb36XcSNf5tmNj2MQDLzf930cJA7XtC3MO8VLfpkcj4hFfMmMz+KFJH/+Dfm+vfmkoYVJJz/D4hqAJON5Xuz6IrKvtlDpbqE5XGBx9mKWsIRnh7yCfr0HWnkLCkFEtYfN2GtctZqG5Z/hMe5evJ94nINz38TVx7dNic8rOBSAqiceZXCffqgvXGDvus9pl5hCcEdbtIpvu3Bie/fjxKbvMeltIYXRXXpQV1yIVaNCLlVwySGWiKB89ConADwdPVk2cBmzD83ms6L1/MuxLxX5TUR38UfdpKdBUoOfwo86XR1n6s/QJeBqAQlBENhbvheLYEEeI2d3xQZeTHmR1edX0+pRi7slkAL5Ge73v48vj5Rw8lIVme034L1nE7Tvz5Lk9gyYvg8ArcHNto4OFXDoI3om9udrILsuuy0st0OXAPRqEwe+vsjh7wtJHxtNfbkamULM8vIVjIoeRbx/PFNi/8XCnIXsLdrLzAMzWXBqAQ/EP8CoqFE4yZyuWoOD05V8TOHYHkI6BpC1rYSASDdCOnr9vgftBjHozJScVRKXHoREIsYzwJkxL3bmx6Xn2LXyAo01WrqPiET0i1xHbasRvcpMiXc+z+37nA/7fUhGaAaxPYOI7RmExWQT+CnNbUDmKKGxSkPZ+UasVuFXcybt3Hqaa7RYzQIfl75HgeaE7UU5EGD7cTA54anzx9HszGjzEU7JYziq68iijWex6kLxKq/mwu2RFG7ZgE9oGGHJnX5zLIlUiouHJ+qmRoI7xv1jC7jfTOyewJuMTqcjJSUFb29vGhsbGTjQFtazY8cOduzYQWpqKp06dSIvL4+LFy+SmJjIrl27eOGFFzhw4ADu7u5X9RcZGUlRURFTp05l586duLm5/eq4e/bsoVu3biQmJvLTTz+Rm5vbduyuu+4CIC0tjZKSEgB27drFpEmTkEpt+wReXl7k5+eTk5PDwIEDSUlJ4c0336Si4sYVwHr37s3+/fvZv38/M2fO5MCBAxw7doxu3WxhRQcPHmTChAkADBo0iKqqKjSa69dhsmPHjp2/O/rLRmB+k55NZ1TEeMbwnmo9d2++mzOmYl7u/jIR7lfCqMwWK2aLgGC1MMp7F1qrI9tSexK/4SKOWfm0btnKSA890kFzWG9JR7L3LaxZXyCXyLn7rBPTD7iy+vbV/Dj6R3oE9WB+7Tsc6/E9Rf7bqVT4YpLKaN2+g9p//xuXAf0JmD0bs8lI6dls2qd1bcvB8Q5pZ5t/UyOyoCAKda1oW1voMWbcVevLeOBRHJycOLVtEwpXN4JibAai0WziTkUL09QPYjTJCUosgm8fAnU9MomMKSlTEERWREFaKvObEAQBVaOeRmkd42LHIULEsepjV42V25DLhG0TmLZnGk/vfZp/7f4Xng6e3BV9Fx18Y9gVtAZl32zkMhme0o6s3raXHa5vEFG5Gfq+CPd9S09NPK5VNk+eq87AI63PUXosFsLSSakpwlXuSubx1VeNm9QvlLhegZzbX4FObURZrkLr0YRMImNq6lQApGIp8UEJrL9zPQtuW4C/sz/vHH+HQd8PYlH2IlRG25h5jXkM+X4Ik3ZO4lz9OUw1NQx+NAF3XwVbl5yj+tLv0xO4UQpP1WExW4npFkDrtm2ATchm+LQU4nsHcerHUrYvz0GwXglrVVbY5t7sXEOMVwwz9s5gxt4ZLDi9gMyiTC6qCvDt4ET63dF0Gx5JWII3ZoOF1vrr5xrauTX8XH7F0Q+eTnybRNlMUiWv0kF4hhDTE7ha7kItTiHOWsZotZp8p3Z03pnDOcGPVmcJpQPaUxQXjLKshC53jrlu7t7PIaEh9lDQm8I/1hN4ox67P5qf8+RaWlq44447WLRoEdOmTUMQBGbOnMkTTzxxTZuTJ0+SmZnJzJkzGTRoUJtHD8DT05MzZ86wfft2li1bxpYtW67xzOn1ep588kmysrIIDQ3ltddeQ6/Xtx13cLDtLEskEsxmW2iKIAjXvFkFQSA+Pp4jR478rrX37t2blStXUlJSwjvvvMN7773H/v376dOnT1v//zmeHTt27PwT+NkI1CKhqNCPrOfWsHjVNFa3ZnG7EM/w9sPbzs2rbmHulxuINJ8jKWAlidJidlT0QtJswf9CI4JIROOKz3EbNYpH+0Txse599h18gt5bpiO4+Fzpp6aVg9WldPvKwukeRrLlB0kWmyn38MMvV0nVa8+hSEkheO5cRBIJ5WdOYTYaaN+pa1sfbr6+SGVydE1KTAY9JzZ9T7vEFEI6xl+1Pic3d/pNfJzMBXMJ7hiH0+UNTaNUwlBJA8st0SyouJdH5dvwFm+Gor0w9F1CE+8mWPCgzDWPwKIUsneWYzULaBya6RbQjVCPUI5VH2NK6hQa9Y3MPzWf9RfX4+noyes9X8fjYC4XUr1I8EmgQSXgo4igVr6b7zRf0D90AIVbstkgXYyzWI7ovm8h2rYxq/jpFEgkOKWlEVBUwj5pEnrdbghPx3P/e9zX7WU+yV1BQVMBHTyvfJ9I6h/K+UPVnD9YRUOVhvrQMuK94/FR+MAv9jTFIjEZoRlkhGZwuu40n+d8zidnPmHd0aXc12MyK3NX4ix15ozyLOMzxzOFDJ5weYgRT6Xww7zTbFl4hjufTsUv7Nc3fv9/KThei4e/E9kc5WLNZiZbByERS5BIxPQdH4PCVU5WZgmN1Rq8g10AaKiwLdAjSMGSgQt55/g7nCk9yu6y3VgFW4isCBHBLsFMSp5Ez1CbUJCyQo2Hv9OvT8TOTacirxGRWERwB0+qy5qwiMy0C4zl7A9ZvCr6FmeRHoXIigNG5BiRC0ZMGgk5eRGkXczlRHwIGqmcElc3Jr6+iNrXX4LgUDr26nPdsV19/Ki+mG83Am8Sdk/gLcLd3Z358+czd+5cTCYTgwcP5vPPP0ettu26VFZWUldXR1VVFU5OTtx///08++yznDp16qp+lEolVquV0aNHM3v27Lbjrq6uqFS2XbmfDT4fHx/UajXffffddec3aNAgPvnkkzajsLGxkZiYGOrr69uMQJPJdJVH8Xr06NGDffv2IZfLkcvlJCYmsmzZMnr3tinQ9enThzVr1gA2T2RISAjOzs433L8dO3bs/F1Rq2zeEL0gR9XiRG6VlgfozpebQnh0XRMIAlSfIW/1szh+0pXluqd4ybQcr7IdfGvug0uZmIh9tsgM36lTMFy8hLG4GIBpg2I5nPYhZ63hWL55CEc3Ndt94xny0QHe/LqJt/2GE1RmC6cMthhotLpx21tHkQUHE7J4EeLLRZ0Ljh5C5qggJD6pbd5isQTP4BD0TY0c+noV2pZmeo4Z/6tr7NirL73G3k/asJEoXG3Gi0EqIcikIi3Mk+WhGTwje5STt29C8GoP6x+DtWNJLdSzU/IVQR3dObzepq6pc2ilg1cHor07kKPM4ZPvX+SO9Xew8dJGJsRNYMuoLYyKHkUSwTyaMIns/EBum7uPr3f4IRaJsQpWQqotvK2di9UjAvGk/W0GoCAIOP10Gufu3VGkpODe1IAV2OaXxNQjTogEK/crInAS5Cw9u/SqNXoHuRAU7cGpH0uxmKxclOYQ6x2LyWSkubwei/Xazc1Uv1QW3LaAuZvc8VWLWZS9iEDnQNYMW8NL/V4ixTeFH0TZCIKAs7sDI55KwcFZxqb52W2emj8So85M9cVmPDtKeengTD4VH+CpPU+hMdmMPJFIRGzPQAAqC654JJUVKrTyFhp1Hmy+dJ63e7/NKtMDnLjvBOtHrGdu37lMTp6MubaGpVvn4BnohFgsasudtPPXYP+6AnatOI9gFSgtrqFJUcPB4yreFi/BVaqjSeqFxJKGVplG/cVOFB9NouDHAKTlRhynTUEpU9C+c3dMOi3rXnmexspyeo2974bCO31C26Fwc2/LGbbz52I3Am8hqampJCcns27dOgYNGsT48ePp0aMHiYmJjBkzBpVKxblz5+jatSspKSm89dZbzJ49+6o+KisrycjIICUlhcmTJ/P2228DMHHiRCZNmkRKSgoODg489thjJCYmMnLkSLp0+e/FN8FWgqJdu3YkJSWRnJzM2rVrkcvlfPfdd7zwwgskJyeTkpLSJu5yIygUCoKCgujZsydg8wxqtdo2ldPXX3+dw4cPk5SUxCuvvMKKFStuuG87duzY+TvT0qLGINFisTojkVj4/mQFCAJu+mp8goqwfpwCn/Yh6uJntDoEsi65P6/1f5hezvNZ0XInAU5SIveVURvnjc+jjyL180OfbSuNIBKJePHONDbGfUSZ2RPP5HJ8Ysp5y2M5O/yfJ8/xIYYKWhJMsQxVawn4vhaLXEzosmVIPW0F4bUtzeQd3kdc735IZbKr5u4dHIq6qoKTWzeSMnhYWy7gfyISieg++l5CYhPajECjVIJYJmPBuFTuaMjhlGcEo79rom/DC+yLeAZr8QGGOFaiddDjN1pP8m2hWMUWXAJkONReINo7CrNgZpF6Kwk+CXw/4nue6/IcrnJXLFaBzBYHBn+0n3k7C+gQ4IJa5YaLgz+OEkeGXNpFviSUxUOHgGfYlXuxcSPSSiVuQ4cgDw9HZLHgr23io8hB7GhthxEpbpWnuIsUdpTsoLC58Kp1xvcJwqi3qYTWKEqI9Ypl12evcPfGSZya05Osrw5R3nBtqkP7BinvbHFjyYAlTO/5ND/sL6OmXsrw9sOpEDW3jePq5cid01ORyiRs/Oj0VcXl/wgq8pqwWgU2GFbhLHPmMWs6BysPMmHbBKrUNjEcNx8FLl4OVF28YgTWlDdT71RBYaU7r65VsmHiI2g2rUDeUkm01JXB/l2ZHD+RwedllHmYUBrr8QhwQvknGLJ2fh9mo4XmWi3qJgNVl5pprTbS4FTN+6bNtFx0pGWNA9LVaqq/yaVhdyG6agviwCi0w9PpsCmTHH0rUgcHBj0xlW6j7qG5thrf8Eiiu/a8ofG73jmGiR8sRiL9xwYq3lTsV/km87On72c2b97c9vtTTz3FU089ddXx9u3bM3jw4Gv62bt3b9vvP3v/VCoVrq6uAIwePZrRo0e3nfPmm2/y5ptv/td+fHx82nICpVIp8+bNY968eVedn5KSwv79+//LCq/wn2sFrgolfeCBB3jggQeuGv+X18OOHTt2/imoWrXopRokYkcSQoqJOPEVrsJuvNMMWK0iTmtS+do0kOBuY/jXsK6svWTbEBw44hxPH47GfdJbGEaP4dSUeERyOV4PPkjd++9TN+9DfJ+ejkgkYvbYPsz5ch7Dil6nP6fxMKqpdvLB0q4nT5Rl0rksmo6tZsoqtBx9PJm0kCu1CM/s2obFZCJ16PBr5u4VHILVbMIzMJg+9z10Q+sVSyQ4OjtjkrYgCw3F30PB7PQg3r5/JDvO1/L1iTIevJBGH/FTLHV4F7nFm4PVB3n+7ueZZX6Mvl4xsLQv6f0mo469n5jcVu4c+GZbGoOq7BxlSycQLXYkQTGIiAHuLMmYTuIbmxGahzI6SEWc9QM+b387LdiiZcxNTdS+8QatmdswxobhOmQohgKbemX71moSjfU0DJOTfbI9sfn7GONyL9/LzrH07FLe7fNu29rap/hx0PUiep2RZkUdJm0QgVW7qZN60E5Uw8yGeWTN30LFoPfo0avf1dcFEenB6Xx+7FvGH53GIUUinaet4c0jb7CrbBdRnlEAuPsquHN6Chs+OMXGj7LJGB9D8Tkl2hYjQx5L+FWl1BulNLcB5BaOC3v5oMcHpP5UTucBE3h277OM2zqOj/t9TIpfCkHRHpRfsOVpWi0CrbUGGgKqEOkDme20ilHh220dzk+5qv9RgVK+IIgDlQfwCY2jMv/PzW+0c+M0Vmv4ORPnzO5yRFoZeo96uhqLyb0QgqhTNOGTn0Hw8aJe00p10SWq8i9QVVzA/uefBEGg++hxOLm503XkGHSqVuL63Hbdou8/I5HKcHJzv/6Jdv4Q7EagHTt27Nixc4vRqg3oZRru5Tgz6w8gkVk4a4iivCaI91xG0SoOZN59KQyM87+qnUgEMhGofvwRQSqhc9x9fPXyc4yZOQdjaSkNS5dirq0l8M03kMhkzL5/KMse2Y9cmcfcefEgCLxcPwRlYRFpsosUlAYiiKC0Z1DbGGaTiTM7MolIScP7shroLwnpGI9YJmfolBnIHBxveM0KNw+M0lrMSiUAsoAAHGUSRiQHMSI5iLIGLcv2BmI++xHxGhEHKg/Q2b8zjaYG4lQNAETkbOeFJ0/RkLuyzQA0nPgC+dbn8Jc40M5sYYHhYxpPu+JgqGZgiDPbijsT3fAlBmSUJNnWqfrpJ6pfeRVLSwu+05/i9MgIJC7O6FxsKQkf9Q9CZLWwIKaGk6c7kKbcimibA/e+cS9f5H7BpORJbcI9EpmY7ne2Z/uZPcilchZnFvOj+BJ7YzqxO6kLSReKGXL2IG47RnEyexRJD7yPzNXnqmvjengbbiItQ/XHqJg8ho6JcnaX7WZS8qS2czwDnBnxVCo9v6xtAAAgAElEQVQ/fHiKrYvPIpGJsZisZO8uI21IOBV5jWRlljDgod+uKfyfCIJAaY6Scrd8+ob1ZUDeHkw1mfR03cbqYauZunsqD29/mDk95xCkl1PQKqOlTofJYAErNDhVsVq3ja6mYk5okjhliMIpNhqRxYDYYkBkMdCleRu+JoEd33/APdmD0HhmoFMbUbjIb3iedv4clBW2zft69zKwBRLQXpLPeWUoZqNATUIyJzd+hbKiDAQBkUiMb1gEcd374uThiauXN3F9+wM2g+62h67VubDz18FuBNqxY8eOHTu3GL3ajF6q4SnjPi4FhLLp9GC+U6TR4OFClLaetVPTCfO+kiPtInFBbVHjIrGJcugv5GGKCKTo7CmqCi5wMesosXNeQxrgj3L+AsxKJcEff4zcxZl/ffEuDStW4Fx/hu6Lsyk79QOSiBC0XZUYyqU0xXtj8XJtG6vgyAE0zU10uv3OX517aHwSKQ9PITAq5n9as8LNHYPCEYvSZtC5DR161fF23k68eEcSh7MT6G2tZn5rKdP3TgcgpSwbvdgZt/oiqDxpa2DUYNk8A4dz6zhsjUN/xyck5xzn66AfSSy/hFf2Gj60GNHyNP0Mhyn374dgFtHroywq9mzAoWNH2i1fhmPHjqDcRfXFfNa+/Azd/bzxLC1BFhrKax1nsiDyXSRFm9G46Hkw7kG+uvAVy84u49+9/90297j0IN5T78SjOYzIlhykciuFQaEIYjE+fR5DMWAxJ1Y9T+e69ejm7UTdbzYgACJqGxoY0LydE/LOuBjqCAvJo0dpOz73zaNcVU6o6xVD3CfEhVHPdKK2uJX2nfz46YsLZGWWEBDpzo9LczBozRxeX4j8BlOsGqs0aJqNFEaeYVLIMPj6MWQWI3w2kMj717Pm9jXM2DeDlw6+xIMMQMFwqi42U1nQhFVsoVlRS1d1Meu7ZHDXsI1ErliB90NXe4d3fqSmj243W31FTNSUgafN+Aj9k8te2Lk+tWXNGMV6jgVt4Y6WJwFIE/Ix5DpxrqMvzbnZhCYk06FHOkEdYgmM6oBcYRf1+btizwm0Y8eOHTt2bjFmnYBepsHbYuWnhC7MXPIe2xO0HHyhH6tThKsMQIDZUS/R3/s2Zke9BIChqBBzeAA1hQUAZG/fikgkwvfJJwl86000R49S+sAEzPX1AJhqahjx1E/45ypxycjAUlxBk89MpGoLCXc+Rh8vm2CXIAic3LoRr+BQwpJSf3P+Nxru9Uuc3NwwyaSodu2iYvrT1M+fj2r3bkw1NW3q0M4OUsqlcUxoruK54868cTCITalz6Nhaz8uG+9CIHOD4MiTGaoSl/RCd+5qPzHdRNWIdt3VNBpGUMyFRrOo1FKbnYPAMZoX8fbxEajwD+zNy2k9E7qvA58nJRHzztc0AvEzRqeMAqP19MZaUIAsIACA2vTtGQYIqGLwV3oyNGcvW4q2UtZYB0LptG1bBSl5jHhZdEAMUpzFKZZR5X/HiOrp50/1fn3FowAbyrKF4/vQCXl1LcPJu4fyWRXigxiPPl9VVg3CQGhhktdUI/jRzDidrT1KjqcFiteUdege5ENcrCAeFlF5johAE+OHD0yCCjj0DuXiiFq3y19W2rf8hVFOaazPIG3zLcDj1E1iMnHB+EIxa+GwQHspLfDrgU0a0H8EXil1IBA1n91ZQcLyWvJAjeFs1mEQSTkXEoMvORnf2HMolS6ieM4fyJ/9F8Zi78V9zmqEnLOhlUOVWCUBtUSv71ubz06oL//NzZOePo6JESaNTNW7hTmhkzWhlrYTU+aOoN9Dg6EiH7umMnjmHHqPHEZaYYjcA/+b8aZ5AkUj0OXAHUCcIQsLl114DHgPqL5/2kiAImZePzQQeASzANEEQtl9+fQjwMSABlguC8M6fNWc7duzYsWPnViDoxBidtTgKAk0uNtEUkQiCFGJUfr7/ta3VaMRcVY12YBIt2ZfwDAyi+lI+tUWX8I+MwmP0aKS+vlQ8NZ2Se8cR8MrLNH/7HSZnObvf7MvzPd7mYv8BtC6yKV26DhoInAOgMi+XupJCBj425bo1vv5XFG7umJwUOMbHo79wHtWOHWC1lRKQ+PjgGB+HIj4efyEQRwS6aK1YSyzkZq4jQJBz3DuJ75v6cH/2N7gJoJJ7MMk4k0HDxjKmcxjq/ftpXr+BcR8VURfni7DWi5MjX6PHhndp0dRw6bNVuIsdifz6SxSJV0vSe8o8yT+bCYDG1RljSWmbp3JAZF/2GFLo6XYWQVXDxPiJfJ3/NcvOLeONXm9gqqmhXFWOxqRB1+RLT9FWCv2CEUsdUYgdrhqnb+8Mijvu5J2VH3O/8DkhiUUEFM3jgro9ohNn6NJB4FhAHGlOhXTyG8LGumNs/NFWF1EqlhLoHEiwSzDpwek8GP8gbj4KOg8N58SWYmLvcWOLejXR7oOpPmkmx68SVYMeVaMeVYOO1gY92lYj6WOiSe5v8y6WnFPS5FyDwRJCu/OZHBHiGNcwmKnuHZjhtBzRyjuQjf2C5zo/R2bBJtSyQiwVzji6SjkSsIkxTWZK3fxJ/vICJT/YakWqtm1D4u6O1N8fqZ8f4hIRfmUSpFbIDm4mWizn2OYiEEAsEdF3fAwSid1HcbMRBIHWGiMNHlUcPzEYh4Bt9CwUEI42Uh7pBSaBiE7XFxa08/fhz3yXrQSG/MrrHwqCkHL552cDMA64F4i/3GaxSCSSiEQiCbAIGArEAeMun2vHjh07duz8rdE0G9izJo/mWi0iswRBrEUrdkArd0CwWNCeOEFB9x5Uv/IqZQ8/gnLJErQnTmA1GK7qx9Jg897o3WxKnn0nPILMwZHT27e0nePSpw9hX36BVaej/IlJiEQiEr/4hv4p4yk4eRzXF54FQBYcjMzfH0+Zra+TWzfi6OJKbO+MP3z9Clc39EYDocuWErV9OzEnswj7ai3+s2bhkp6OuaoK5SefEvntWi6qgpD46ngr+na66Y6S492BVQ+OZpVlIIIILhmD6a95kx7972JirwjUBw9RPmky5ro63NO6EXS6BvWevZgUbjg8eYD1wX3wvNRI8FMzrjEAAeIlHagpvAiAWgKm6mqsv6ivqxvyOlLMKHfMxdfJlzEdxrC5cDMVKluZjguNNo+WU6uMELOSElkAI1ZW8+C8SrxmLcdUVdXWV4SvC9Onv8g3ZWNZ2TCCk/IY8rHlKkZVlXDAmoCDs57lvd5mtfUhPh3wKa/0eIUH4x4kwTuBBn0Dc7PmcqjyEK3btpE2NIxhr3fg5ZIZbCnfRGHMEfRNsG9tPtm7yqgtbkEik9Au3hvvIGdO7SjFYrairFBRfbGFi15Z+NU60E5cT3GPjowPhgUtEUx3eQ+LTwf4ahwe5zeTViEj19/meZb1bMYkMdBfX4NqvwMJP1zCc/x42u/aScyZbDocO0rkpo20W74MQ0IyZq2E1GYRO2L0uIfLkTtKiekWgNUioFJeuc7/F9CrTVTkN93qaVwXdZMBDGKUDg0M9S7gpQN76HriGI7x8Zwa1AFBBOHJnW71NO38gfxpnkBBEPaLRKLwGzz9TmCdIAgGoFgkEl0Cfq5Ge0kQhCIAkUi07vK55//g6dqxY8eOHTs3ldO7yjh/oIriMzZhFIlYg9LBHanBQukDD6I7eRLnvn2Qh4Sizcqifv4CmxiDTIZjchKOY9Jg5ADMDY0AOEi8EInEtItPJrZ3Brn7dhPVuTtRXboDoEhMJPyrtdR99BHeDz+CQ2QkDnt2sOWT+fhHRjFo6hS4XBu2s3sazbU1XMo6SreRd/9Pgi83ipObO4LVikGjwdHFBbFCgVNqKk6pV8JODUVFFN0+jBplGN3Dj/OeYhG+ohZ2duxGF28nvGLa0f38AhpE7jzWJ4opt0VhLCmhcsYMHKKjCV+7BpFczrlhA6h77z1YOR1BIiN2QwlaXyfcR4z41bmVncsGQcAvvD3NleUIgoBy4ULU+/bhM20avXplsGl3L4blroLBL/BwwsN8m/8ty88tZ8LXRzlYpEYSLaWvqQZkIDpuwnn/IUzto1BUlFFyz72ELv0Ux9hYABxlEmaseJuGFSt4v2cog2YfQADE6lZKm/zAH2RlRwjBE+/gq+X2jRYjt2+4nbePv82y5jsRmzQ8c2Q6WrOWcR3H8VXeasb3ljP19sk4uTsgFl/x6JbmNrBlwRkunayjNKcBq9RMXsAp5pVpaVU4kRPhx79vH0bs0VJe25RLic8s1oUuRrFpCneogpgTf5ShaSNY2PIBXqZA4stqKb9g4NT9cdw3+2Wbd6m+lsq881Tmn6cy7zwNuhrC3fyZqqxlkouCTcGfsuiBxbTW6sk/VkNTrfb/VPH47N1lnNxWysinUwmO8fz/6mvH8hysVoEhjyf+QbO7ws+iMGqpjmV169gkiqU53oWHFi/B6+0XcY+JQ+Hiep1e7PydEP0cd/+ndG4zArf8RzjoRKAVyAKeEQShSSQSLQSOCoKw+vJ5nwHbLnczRBCERy+/PgHoJgjClN8Y73HgcQB/f/+0devWXXXc3d2dqKioP3CF/zvvv/8+3377LRKJBLFYzEcffXRDdftuBIvFgkRy/WKcP7No0SIeeughnJyu/mc7fvx4SktLUavVNDQ0EBZmq580b948unXr9ofM9fdy6dIlWlpabukcfi9qtRoXF5dbPQ07v4H9/vy1+b92f6wWgYKNAnJXMLSC1QRF7ZYz2bGCwnxvQvfn0zphAvoe3W1xoYBIo0FWWIj84iUcT57ELBhp/vd7eM2fjzS/gENDMzDptMSNfRCjRk1h5ga0ylp841MI6dkXsfTq+n5aZR1569cid3bB0NpMcLfeBHS68j++/NAe6nJOk3jfY8iv8+Xv99yfhoLzlOzOJH7cwzh6/LYoiPfrr6MSS3Do2QQyd7TtPSj3vJMgRTsOWUpYscuHfsYKxt8Rg1ivx+vd9xCrVDTMfBGrj011U5W/l6gPv6ZqUCqubu1x/e47Wu+5B12/jF8ds2TPdpqLCgjs0pOKQ3u4LbcER7MFQSbD4u5Gw2uv8d1PZ/lY/joVoSMpbj+Rbxq/4ZDqEMMrQ9kUVIaXNZYZxa1kKM5RvCkYa1gELZMnIamsxHPhIkRaLS2PP44x/kqAk9uePeSnhZMwcy77EiJpX1FHdng606JW0xzUl9qqWFr7XV1WQm8W2GHZw86aDaRpgihwVaG2qrnH7THONwSgdf6aUmMRac5ptHNoRzt5O4LkQchEMgRBoHCbgGAFo1rgbOA+qj2PsqnxGLvibkd8yBWPFhOt48eR0yphUbYehdjMN17LaNd8gD7h7TGIBCxYuKM0kemn91Ff4M7OhRPw3K+ipbQQk8ZmXIjlclz8g9BXVeDW3Mrdqbkslfbms8h87vS4k36K/uStF/BPFuET+8eGHt9Kyg5YUVWC3BXaDxEhlvz62q73HjKoBC5ttX1nD+8vwtn3j71GVTlGmnKk1EfN5NHj9WywxGCUSnD2C0RTV33N/4d/Gn/nz6B+/fqdFASh83++frPVQZcAb2CTwHoD+AB4GPi1J1ng18NVf9NqFQRhKbAUoHPnzkJGRsZVxy9cuNBWR+9WcOTIEXbu3El2djYODg4olUqMRuMfNqdf1gm8HhaLhU8++YRHH330mjY/1+rbu3cvc+fOZcuWLb/WxS3B0dGR1NTfFif4K7N3717+85m089fBfn/+2vxfuz8Xs2q5YMxlwPhkFK5yPlr0FW6OBdQ3Smm3Lw/vxx4l6snJfPfvV+jQtSedh991Vfvm79dTPWsW3YOCqTSbESIiMDQp6dA9ve06WQYP5uC6VWRtXo+1pZFh057DN8xWxkCnamXt7GdwdnNjwrvz2fXZYopOHWXg2PF4h4Ri0Go5t3IRHXv0ZtAd19YG/E9+z/0p8XClZHcmiR07/maBeYC67GykS5dRnJ1MR4mOb+/uAKI8xsc8gEm5iyk9+2L6ajXeffpQ8eS/UCuVtPvsM+K7dcVk0KNqUOLcrSt12XUE7dgDnMbi7UbKjOk01Nbg7OGBs4cXUrmtRIEgCBR88wWRqWkk9+vPd4f2ILl3LO1uG4BgMlH+xCSSlQ2U+gWyuaEHw6u3E3bvB3SkI0PXD2VjcClp5TLMQVPoLHuUUokP8uZWAp6+C8/L18g0YADljz+BePFiAl9/HY/RtvvbUFzMKU0WOpkUAwKNvp70lag4Yo2lZ8kh9Kdb6TRnTtu1yals4Ykvs2gwpBKedoKTVBBX58i/xnzOy9+oqGpoxTNwCHFOG8h3yOeo5ihgyyeM9ogm3ieenmHxFJzzArFAdtBuVtYWkuMbQc1FI2nbDwDgpdOR/skShvSR8cgXJxhb/xBHxUcYVKthQ4CcQSGjGXBpD61KNxpjvGltrsJyvoj2nbsTnpRKcMc4vEPbIRZL+PaZKTSp85FozYzMKye/dzr7lft5bfhrlO48gpeLDxkZsf/Ts/RXZtXuI7j5CLQq9bhow+g6PPJXz7vee+jgdxcRiytwcJZiKncm4+4/NjRz7dn9tDjUMMBYQnWZP8YwCYEdOlJdkAdA/9Fj2/5//BP5v/YZBDdZHVQQhFpBECyCIFiBZVwJ+awAfll8KASo+i+v/y2prq7Gx8cHBwdbYriPjw9BQba4//DwcJSXayVlZWW1PWivvfYaEyZM4LbbbiM6Opply5YBtoexT58+jBo1iri4OCZNmoT1ckL9V199RWJiIgkJCbzwwgtt47u4uPDKK6/QrVs33nrrLaqqqujXrx/9/mNX8bc4fPgwY8eOBeD777/H2dkZk8mERqMhOjoasBWu79atG0lJSYwePfpv67WzY8eOnT+T8wercPVyJDTWC48QRzbFLSDAVIdrpgpllAe+U6dycN0qqgvy2Lf6cwpPHr+qvXN6LwA0Bw9gaWjA1C4Eg0ZDQPsObedIpDL63v8wo2e9gV6tYs2sGZzathmTXs+Gd+egalByx/QXcXL3oP/Dk5E5OLJr+SIEQSB33y6MOh2dbv/1cMk/AsXlotA6VSu7PlvCB/cOZ964EXx030g+njCa+Q/ezcKH7yGzKBeLIJAUFYDP448z9sFM2v9UCtgEXNwVMkQiqP/oY9T79uH/0kwcOqXyzZyZzH9gDCuensS2hfMIWbiA6m9eJWLjDxhW/ZudK5fy1cvPsnzqo3w84S4WPXwvK595km9en4mqoZ7wpE54h7QDwNI5FeeePXHu0wdFairKJUvo46jhU+tdiM06OLKQAOcAnu70NCNyHHlhtytVFbUEWWtoqbVF27j0Tm9bu8zfn7A1q3Hu1o3qWbOoX7CwTRH1jqJgmtxsbVqdHPG6lMtRSyxODmrEQqutA0Fg1087OfzpFNbpJ7HN+gJhTp3491Y3Zm91Y94WA91bt3PBcSIz6jfjVjyYHaN/Yvvo7czLmMeDcQ/i7uDO1qKtzFUsQOEupSDgOLFmNUEWKadNUaStOk9RnxCC53+MPi+P0nHjaWds5ocnexHVLohVwkAeMjYwSBZHVVE6nSwFGJUCMX1HE5orxcXLmxHPzCRl8DB8wyIQi22RSi7ePhikEkxaCY6uekZGjaTJ0MTputN4BjjTXKv90565m43ZaKFVqSOmWwDRXfw5ub2Uhkr1/9yPyWgh73A1kam+pA0Np7KgmYq8xj9snqU5DTRdMqJ0LieyUIzaaosayJjwKB26p+MZFIJPu/A/bDw7fw1uqidQJBIFCoJQffnPUUDO5d83AWtFItE8IAiIBo5j8xBGi0SiCKASm3jM+D9iLntWLqXu/7F33uFN1fsff52MjnSme+9NKW2ZBcreZYMioiKK6FVx/MSBW3BexQVuRAGVIaDsvSm7rNK990xHOpI0Tc7vj0CvKEJVuOo1r+fh4TnjO845SXM+3894F+XfiK46cPMPYvDdc371+IgRI1iwYAFhYWEMGzaMadOmMXDgwOv2e+HCBY4fP05LSwtxcXEkJSUBcPLkSdLT0/H392fUqFFs2rSJoUOH8vTTT5OSkoJSqWTEiBH8+OOPTJw4kZaWFqKjo1mwYAEAy5YtY//+/bi4uFxr+A569uxJSopJj+nw4cNERUVx5swZmpub6dPHlHNyxx138Pnnn9O/f3+effZZFi5cyDvvvNOp/s2YMWPmn0BjTSulmfX0GheIIBGobzUVjfCuAmmrkbMzoggpKuDszi10HTKCqoI8ti1+hxmvv4eTlzdgMiIsw8Jo2rsPQ30Djc6OUFeKZ+gvtfoCYuK46+0l7PzkffZ//RknfliDRq1m3OPPdHjgbByVJN4+k92fLyH90D7Obt98SQfst2n//Ras7U1VUGtLikjduxO/Ll3xCAlHNBoRRRHRaKCloYHM5IPU+3ljceIkTbv3IJMa6f/BGWoMH9H9IZOWmTY9HfXmLThOm4Zy+nQOrFhKSXoqPSdMpaYwn5K084iAwcsFK5dwPLONHDj6Hl2HjsQrNILm+jpaGuporjP97xYQTHCP3igcHLFU2KAqMxV8EQQB10cfpfjuu7G6eB7vnjPZW5TA0JOfI/Sdy11d7iL31DKqLOwI0GaABUgKDDT42iG/tOh7GamtLb6ffUrFCy9S+9FH6MvKQCal9eQp6n1cwWCk1dCOrrGBdr03WIC9hwrDnoXUn1rNMF0pBokEnVdvFOXHGJaeSmS1nFVe3VGVZvGK4kvU1nZMbTnMJOMRLixcjXXUMIb0Hcvw2IdBKmPXrNHM71/K111fpKG9nhXl5Ryr6kaPVWmUx7pxbm5/RkYMxu+rZZT860EKp0/H77PPWD6rF7NfHcbdhp1MPVHJj7Y7kNYaEESgSxT1S/fSa+LUDsPvp9i6e9Amk9LaLMfStpWKigAkyNhXvI9e7hPIP1fzizZ/lJZGHUaDiJ2TKbc172w1VflqEiYFI0huXuhpfWUriHBUs597p06nNLOOPV+nM/XpHlTkNXJ6WwGDbo+4bg5kzqkqdK3tdB3kjVuAPed2F7P/m0z6TAgmuLvbFXmevwWjwciJTQWc2VmExr6JTO+ttCbbUeNqiyiAa0AgSY8+ibHdcMOrA5v587mZEhGrgEGAiyAIpcBLwCBBEGIxhXQWAvcDiKKYJgjCWkwFX9qBh0RRNFzq52FgJyaJiGWiKKbdrDnfbGxtbUlJSeHw4cPs37+fadOm8eabb3L33Xdfs92ECROwtrbG2tqawYMHc/LkSRwdHenVqxdBQaawgunTp3Ps2DHs7e0ZNGgQrq6mkuIzZszg0KFDTJw4EalUypQpU373/OVyOX5+fuTk5HD69Gkee+wxDh06REtLC4mJiahUKrRaLf37m1Y7Z86cyZ133vm7xzNjxoyZ/0XSkysQBIjs64koihwoOQCAc53pJave355dny/GVunEwDtno2tp5pv5j7HxnVeZ8dqiDm0um8T+1H25DIBGqYDM0hJnH9+rjqmwd2DiUy9ybtdWktesZNjsBwntfWWBka6DR5C6bxe7P1+Mob2d/tNn3qQ7YOKyJ/DM9k0YDe0MvfehDiP3MoZ2PQVnT6NSuuJy4DiWoaH88EIX4lakwpIlaM6eRXn7dNQ7dmDdozsezz1L4bkUzmzbSNyocQy4/W4ykg9SeP4MNUUFYG8K9zywfCk2SicG3TUbCyvra87TyduHutLijm2bPr2xiopCl53F2Hs9+XfmBIZZHoXjH8OQ5wHIsfEgVpKLoV2GfU4zmWODaGmo59zOLVTkZjNizlzsXd0Q5HI833gduZcXtR9/3DFGo39X5Dojep2WRmtL4uwdqG+3xTmwEsORd8k0RNIUfAfDp8xGYefK5ldHMVF1hDLrMPa6RLJYsRgkkDblLRIdE8h8bw4u8moCMz+AzA9ol9kgDexHvL6QucfsWJSoIlIHNied8M8sw37MGErnDaPLtyl8+dG9TH3+NQK+/Ybi++ZQdOdd+Cz+kHkxXuxO7cko5QkSOEd+gxsGmUBBYy2iaKTLwKFXvZ923t4gCBRo3Ogdmk+PndNxdHdmQ/4GBtTFom2Wo23WY2Urv2r7q1GR24Czjy0WVr98rc1NqWb/ygyMRpFBt4djNIrsW5kJItgoLek25OrfmRtBXUULABtUq5HktTB2xnS2f5rKtk9SKc2sw2gQSV6fS9KDMdfsJ+1wOU5eNniGOCIIAsNmRXHwuyx2fZmG45YCuo/yJ7SX+69Ka6hrNaTsLCJ2qC9KD5PmaEuDjl1fplGe04BltIZlNm8wrqIOfZWc6hB7DDaWyC1MkWsSi87XmzDz9+FmVgedfpXdX17j/NeA166yfxuw7QZODeCaHrubiVQqZdCgQQwaNIiuXbuyfPly7r77bmQyWUc4p1Z7ZXnkn6++XN6+2v5rFfqxsrL6TYVjrkZiYiJbt25FoVAwdOhQ5syZQ2trK0uWLLnm2GbMmDFjBgwGI5lHK/CPdkZj2cR9W2dxUXURJ70Cr1o19bZy2gxQW1zIsNkPYalQYKlQMPaxZ1j32vNs/+g9xv/ffASJBNvExA4jsAUjDq7uV/W8XEYQBOJGjiV2RNJVV/UFiYRh9z7IN88+jp2LK6G9Em7afQCQW1git7RCo27EPybuFwYgmEJaA+N6UHguhW6xsfh88D7Pursj9hRpWL2aqrffoSU5GZmXJz4ffEBraws7PnkfF78ABsyYBYBPRBcASjPSUPb3IevoISpysxj5wKPXNQABnH38yD9z6op99mNGU/3OIgbat/GU1J90x0FEnfgMEh4CINvGndGSA7RogpG2N1Hi7cgXD83CYDAgk1uwdsF8bn3pDexd3EzexUfmYj92LMbmJowSCS1vPEeXxCFc3L+bZlclEdX5PGl3P56oOCBL4JlbBpIU4wlA8+HDFJe6oXW3wDW2iLUWL+NmaGCbojd+09+lKDQSY4sdPp99y96iag7v+ZHg5jMMzk/HJ6ScO9pkOMjG0DN7B+pMF/JHBJH0zttkpW4h7/RxBImENcU66+QAACAASURBVK88w9TnFhKwehUl982h+P4HCHr9NWoHzSd57/PYVypobGnBECEn7/ABvCO6oPT85fMEsHE2RR+d1oRQWe9DnEMGs1rULFJYU3FqPdjcRn1VK562Dp36HDVUtbLhnTOE9/Fg2N3/yS1t1xtI/j6Xi4fKcA+0RyqTsOdrk3SHb5QTgiBw7Ic8/KKcOgyjG01dRQtGwUijVQ1LU5fSc3hPIhI8yDxWiXe4I+4BDpzZWURZ9q9LSLSq26guVNN7fBCCIKDevh3v0aOZ/mJv8s7WcHp7IXuXZ3BqawHxI/2JSPBEKjMZg6IoUpxex+4v09C1tlN8UcXkJ7vTUNnK7q/SaNMZKO99mk2Slfga/bjnfDnNyNEaBNq9rv/dMPP3xqzG+V8kKyuLnJycju1z5851VN4MCAjoCLVcv379Fe02btyIVqtFpVJx4MCBjmqiJ0+epKCgAKPRyJo1a0hISKB3794cPHiQ2tpaDAYDq1at+tWQUzs7O5qamn7TNQwYMIB3332Xvn374uHhQWVlJXl5eURERODi4oK1tTVHjx4FYOXKlZ0KdzVjxoyZfwpFqSpa1W1E9ffiswufkVmfyYK+C3mg2ANDoyUNfvbIqkw6gD8N7fSLjmHgHfeSe+oYJzeuA8A6Ph5BoQBBoEWjwc7l2qLyl7lWWJd7UAgjH3iUEfc/guQPLhp2hsshobEjkn71nJCeCWhbmpG/+BwaqcDh775Gr9WgnD6doI0/4jhtGr6ffopUqWTHx+/R1trK2Eef6ij0Yufsgr2rO2WZaXS3j+fkxnW4+PoTNXBIp+bo5O1La2MDmub//F7ajTLJIBv27WFwuCuvNY8zlXk9/ikA2bbuxEpyKaxsR28ppbVZRG5pxT3vfcq0l95A29zM2gXPoq79T+ijZVAg1jExNNtYI7Yb8I+Jw97VnWY3VyQXzlLW7MP+1p58+VBShwGozcqi9JFHGXzwNP9uuZUGmTXHDJGsChuK5+pKjLbWGDUaZBkZ5I8eQ+yFkzz36BPIx7/HVOmHjNK9SZ7Ug0k5m2i94IzRxoZhz3+FIJHQtPsCljY2zHjtXaRyOWsXzKe2qQH/b1aiiIuj/MmniM8vIDTwXqIWrcOpoAHX+OHUV5QRPWjYr95PGweTTIK1XsfjVnP40jCGCa0mrcs05xIAGqpaOvVsADKPmbKMso5XUlPcdKl9K+veSuHioTLihvsxaV48Ex6LpWdSAJH9PAm/zQbX0XrkFlJ2fZlGU93N0SZUlTXRaFXDLZFTCXIIYt6ex0iL2Eu36S6Mm2uaj63SkqPrc391Ib0kw5T759fFiVZ9K8cqT7A0dSlfXPyCVr9Kps6PZ8y/umJlI+fAt1ksm3eY5c8ms+LZo3z+yEG2LD6PpYOEwj5H0LTqWPfmaTYtPgdWBnbEfcw22SribO5iWq4FbQXWlEe5IWiMSLwdb8o9MfPXwWwE/hdpbm5m5syZREVFERMTQ3p6Oi+//DIAL730Eo8++iiJiYm/8Nb16tWLpKQk+vTpwwsvvNBRTCYhIYFnnnmG6OhoAgMDGTduHJ6enrzxxhsMHjyYbt26ER8fz4QJE646nzlz5jB69OhOF4a5PGZFRQUDBgwAIDo6+opqnStXruTxxx/vuL7nn3/+t9wiM2bMmPmfJj25HBsHC2yC4YecH5gQPIFEz9H4GqvRNUpp8LVDWqVFIpXi5H1lmFr8mPFE9h/EkTUryT97ylRyv18/LIKCaKpXYefcufzu6xE9aBgBMf+dKsw2DkrsXFwJ6v7rUkmBsfFIZTIuHtzDhjde5uTGdaQfPgCAha8vnq+8jFVYGCnbNlJ4/gyDZs7uKOhyGZ+IKEoz06jIyaSmqIDYkWOv6TX9Kc6XnsPOTz7gm/mPkZdyAgsfH6xiYmjavoOkGC+Smz2p8x0Bxz9BlBrR2EuwQ0N7hUhtmBJpjQ63wGCUnt54hIQx5bkFaNRqvl/wLE2q2ivGq8o3LRZ7BIXiHhhMo1SgvaqKtY8NYUOMnjB3U0VvQ0MDpQ/PBUFAEEVKar3op1/MmqqRuP1Yi7TNiP7dJwlc9z0tt96CdXwc1f/+N8WTJzNWV8SBJwcxuqKYxZUzWNuQhK5UwtEugax4+WlStm4k99Rx4kePxz0ohNtefgsrWzvWvfo8FWXF+C79ArvRo6h++22aNmwgL2ksglGkwkqGRCoj5BpeZBtHkxGoMLRgFCR0aZTSfkGBp2DHcf8qBNHQ6eIwRqNI5vFKLH0MWNhISV6XQ9aJSta8foqWeh1JD8XQc5I/m/I38s6Zd0jx28l6ryVM3T6ZB47OJvZWNxoqW1n1ygnO7y254RFN1eWN1FmXo7RT8t7g9wgzuvJl1lIeLrqLtPqLyCyk9J4QRHVRE+riq/dRkl6Hla2cetsKJm2cxDzJej448wFLzi5hxrYZDFw7kCX1byJMLqbffb6E9vLAJ0yJV6gj0QO96T7Fh7VRb7ND+J4tYZ+i1bZhDK1jSeA8NLYt9KidyIzzO7il6Qh6tQyXRFM14Jm9H7yh98LMX4//tkTEP5ru3bt3eMl+TmJiItnZ2Vc9FhYWxueff/6L/QqFgjVr1nRsX/bq3X777dx++y/r5zQ3X1mRau7cucydO/dX53s5bPWnXK4Ieplly5ZdcTw+Pp4TJ078ap9mzJgx80+luV5L8UUV8aP8+SZrJe1iO7OiZ1Far8FbV4u2TYYmwBWLSh1OXj7I5FfmRAmCwPA5D1NbWsy2D99hxhvv4blwAW2NjWieegh75855Av9KDJl1P4JEck2DzMJagV/XWNIO7EEilWLjqCQz+QCxI8Z0nFNVkMfh75YT0rMPMcNG/6IP78gupB/ez8GVy7Cwtiayf+ejVNwCgpDKZJSkXUBmYcHOTz9k1rufYD96NNVvvcUAhRYruYTViuk8qNuFZbiKgfLzGNsFLCt01PYJQFaowzX2P+X1PUPCmfrcQta99gJrX5nPrS+/gZ2TyYivysvFysYWB3cP3AKDyTl5FL1EwHD2DJcl5kSDgbJ5T6KvrMT/668omXM/w1sLOUBXpufux6uihqMPxXFvzDhqigvJkBoIeG4+yttvp/qNNym5bw62gwfzr1eepn7dOnRp1qS6O9Gk0+DgYM+BFV8gt7ImbrSpOqyDmzvTXn6TdQufZ/3rLzHhyefxX7SIajc36lasxHbAAPInRlOw7Sx+XbthZfPremoKR5OHyULUITfo6Xr+DA0tNnTTSNjhpMdSr6K+0r1Tz6Y0o86U2+a2gjCnSNou9KEsuwHPEAeG3RPJ4Yb9PPjjR5Q0lWAptURn0OFk5cTsrrP5OvUrdrKeh196nENrsjnyfQ7aVj29f0XC4bfS3mZAo2qn3qeSFTu6Mn6WO++IU9BPTmLipoksObuEz0d8jkfdOZx9nKm60IxBb0Qq/49/RjSKFGfUYeVv4K4dd2Ert+V14wQG3P4kRtHIiYoTJJcnc7T8KLuKdgHgrnDHwsoCuUROmDKM4qZiyrSl2DXeR4PLFj6JfxxRMNJHEsaDadnEcYQ2KyUXCv2wkmlocnZEECT/aDmIfwpmT6AZM2bMmDHzXyDjaAWiCL697FmbtZYR/iPwt/dn1fF8nNSmRbzxCQ9hWyP+6guY3NKKCU88hyCRsO+rz5A6OqK1MK3ndjYc9K+ER0gY7kEh1z0vop/JaBtx/yPEjRpHWWY66ppqAPRaLVs/fBuFvT0j7n/kquGu3pfyAsuzM4jsP7ijuE5nsHVy5oHPv+GhZauY+vyr6Fqa2b/8C+xHjQSgfe9uhkS4sSzPHmPMNPzcSnlKvobGRmskBhHHsO4IeuMvnqlnaDhTnl1Aq7rB5BGsM3kEK/NzcA8ORRAE3AODAWhxdab19OmOtjXvf0DLkSN4vPA81nFxWPXqRZfKbLw1dYTUl1Af4EDF8CiOfv8d3zzzGDVp5/hm/mOcqyjCd/33uM17gtYTJ8gbPYa6L5ZSf+I4eR5OBMX3ZNZ7nzLortmMfOARrG3/oyNs5+TCtJffROnhyY9vvULemVO4z59PeMppfD/7FKNPAI3VVYT2urLg0M+RW1gil8kxSuCBgr1QU41eI2Vwg0lSSierMeXSGa/vlcs4VoHRUk+hMpWdijXIQ7T0SArAYWojMw/P4JnDz6CQKVgyZAmnZpwiedopPur/I5P872OIMYINORvQ27SS9GAMkX09Ob21kIsHSzvxqfjJHI6Wc+yHXMqy6zEYjB3766taAYFG6zqqapS89/FCZGkv0/zmYEZWtHGs4hgpVSkYqirpNzkEfQuk/mzs2rJmNOo2dhrW46xw5ruk7+hLMDJsqGqQ0lU5kKe6v8iuybv5ccKPPNXzKYKVgcTYBeLTLHKh5gIFqlwiG4fzSe1XPJPdTG+DPQuqWvgibw9uCFRK76D0WFdsTrVS0NeH0txsnH18kVta/ab7YObvh9kT+Bfncrjoz7mal86MGTNmzFybirxGZHIJrn521z/5D1JwvgZVWQs9xgRgNIqkJ5fjE6Fka80PtOhbmN11NtuKTnDsbCYG9aVCDl4e6OrV11yFd3BzJ6RnAnkppqiLy+GEdn9DT2BniUocjF90N2yVTjRUVXJk9Qoyjx6i5/gp7Pv6c+oryrjl+dewtrO/ansnLx+s7R3QqBvp9hMPYme57Nly9Qug18RbOb5+FZH9B2EdF4d6+3aSFo5nW2olJ2JeZ+NuJ9zsa+hqnY8PlahtTQU2rvZMvcIimPLsAta//iJrX56Ps68/NUUF9BxvquTtdskI1IQE0nrqFJZhoah37ED1xRc43noryltvZe+yT8jX1dOvuoK1lhdRa7UweRxDLwZzdN23RCYORuITCOXFnPzxe7KPH2H4fXMJGj+e+hUrkLm6ktJUS3vyQQbMuAepTE73pIlXvQ8KB0dueekNNrz+IhvfXohPZDQxw0cT0XcA8rR6BEFCSM8+172fCoUNOnk9kyVVaAFBhAGqKhwcPKiwz0es7sKqV04QO8yX8D4eyOS/9BQ31WkpOFdDrlsKQbYJYNHAUvnLhEhCSD2Yir+9P28PeJsRASOQCBJ2XKzkpU0XqVO3MFRyBoXUlrZgHR+9NJ47c9wYtG49mqY2Dq7OxtrOguB4t+teh2gUSV6Xi661nTM7i7GwkuIT6YR/F2d0mnYAaiUi8+1Xc3/bFnIU3lSJjjzTnMYO50CWnF3C2yTiG+WErQec3lZIRIInVjamKICSdFM+YJbNGW4Pn4a7jTsqYO6qs+zLrO6Yh6XQzljLc9wi2c/txnNIMRnQpa4DOKkexAjtV2gtLbDEgfeLqzlbE8y51gSszmcgavZh1aULKXP7UIwEy0PpDL77/uteu5m/P/84I1AURbPWyd8Uc/VRM2bM/F5qips48n0O5TkNKBwsmPlGv9+trdVZzu0poTynAe9wJW3adprrdPSY6Mei9G9I9E4k3Cmc13duJ0ZSgK5Rht5WRn2TyRvieh1hZmdvHy7u34WmSd1RXMSuk5qvf1dslU4AOLp74BkaTvqhfdSWFJFxeD+9Jt6CX/Svl9kXBIGw3n1pUtVe995ej96TbiXtwB7O7tjMoNGjqHr9DfpbNmMtl7IltYLd1rF0U5XQRV+A2tMGUd1+1RzPy3iFRTJ5/gK2f7SIhspygrv37pBXsHFUYqN0Qq2wQ196Cl1+PjWLl2AdG4v7889RlZ/LuV3bQBRptpQj3bsXwdoaQ5+enPn3V4QlJDLm4Sc4cOAAgyZOJjJxEHu++IjvFz5L9ODhJM65j1Ob1nPh8H66jUj6VYmRn2Jta8ctL77OuZ1bSd27k20fvk3mkQPUV5ThExWNwv76VT1tHBzRyCrQZWaR7+pIm0yCf2sNsTUCB4P28WWvZzi7q5gD32ZxYnMBMYN9iB7g3WEcGQxGdi1NwygxctptN5WZ47GUOGIf8Bk1mhoW9F3AuOBxFKu0fHm4kF3plZwqrOdRp+PcY/slDu2mwjN3qCLZGK6m0krLmM2LGDH7cTZ/cI5dy9IYbyvHO8yUvyiKIvnnavAKccTazqLjOuoqWtC1ttN/Wgh2jtYUpakoTlORf9b0nTRiwFWs4v62Ixxy68YHadN4tGAvRfUqbpskskw4zcpzOTzOPbjHCuTtbCdleyH9poYCUJymQufQiJW9jHCXcDAaKdbBvsJqgkNr6OFQxB3qaoLLt6Bob6Be4sp6yxGo2z2wLS9ngniQycIhiqrdqD9lWozIbvPBua0BwToDh7FJ2E6ajN7Dja5pF6ha+hFRA4YQN2rsdZ+hmb8//ygj0MrKCpVKhbOzs9kQ/JshiiIqlQorK3N4ghkzZn47+1Zm0FyvI6y3O9knqijPrscnwummjScaRWpKTCGex37IxdrOAitbOWetD1Gvq2d219lUNGpIvmjkR5ez6JoVGENMXiAA14Br5yVdNijqykppUl0yAp3+t43AnxLRbxD7v/4MVVkJfW+ZQe/Jt163zbDZD92QsWVyOeF9EzmzbSPyW+8EQaBtzy6GRiaw4UwZGgs7otWluBbXUx3nhaxKi5O37y9yPH+Kd3gksz9cetVjHsGh1BWaPheNG35A6qTE+4MPEORy9n39OZYKBbqWFuq83LErKMVh6hQytp9BkEgYdNe9V/Tl3zWWu95ezLH1qzm9eQMZh/djaG+n2/AxDJ55X6fvgYWVNb0mTKXnuMmc3bmVQ998iaG9vSOH8HrYuLjQIJcitrVR6h2AQatF3yKjR5OBg34CxqAGbpnfg7Kses7uKubExnxSdhQR2dcTnzAlZdn1VOY3Utr7JG2Sdr5pX0WqMZhdp6dyS1k6aVbhfLjxCAW1JmMvwsOOR0M38XjJagrcvNkeMYqeB4/xQpuKTwrtOeWj53DjCk6lNDPvgafZ/O4Ftn18gUnz4nHxsSPjaAX7V2biEWTPxCfiO/T4ynMaAJhX+ABxwdEM7DuQCVP7YVDJOH0qk2VZSxnSXkaxgxvbhvRjiaqOxuQCRK3AzJwKMnReLItvRHrmQ7o6dCUiwZMLB0rpOsiHhupWyrIbuOh7jKTAJDwLTqF//y6iZO18I4/Aq0VFUEkFSGQQPgZD+K3otpyny3drkehSAciecA8VzefxO1JGu5MFJXEeWDU50WJng9ZSjroyH81bL/znsxYSxvD7Hja/I/9D+EcZgT4+PpSWllJTU3P9k/+GaLXa/2kjycrKCh8fnz97GmbMmPmbYdAbqStrIXaEHz3HBFBwrpbsU1U31QhsrNGg1xrwCHKgItfk3YsZ6s0rma8Q7xZPvHs8j64+iw3NhKkPU6D2Rt/PC1VRAQoHx44Kir/GZSNQVVZCk6oWhYNjhyTCP4GoxMFU5GTSdcgI/KK7/dfHj+g7gNObN1BYmIdd93iaduxg7BuT2XLBJFfQrb4Q6wYtvQfcwdrDO/GNjP7dY3kEhZJ3+gQGe3ukGg0+H3yA3N2NjCMHKM9KZ8T9j3Bq03rqrdX4F5Si7t6N/NXLGXDHPVddGJBbWjHg9ruJ6DuAI6uWE9yjN92G//YQWTBpS8aPHod3eCQX9u4gsv+gTrWzc/ekTSZDL5XQLBqQyGWoWmzp4agDrDhecZxwp3B8IpzwiXCitrSJs7uLSTtYRup+U95cYB9HvpCsIUrlSYJwgQRpFmPsT3LIJga/E68wz9EW30gl/u6OOFgItB9ZS67gRa1hPGPah7DG4M292sW8UCOiOurJpjsjWJ6zgdKmUhY+8Ca7P8hm84fnGX5PFEfW5mDvYkVlvpqTm/JJmGTKYy3IqqLZoh6lsy0nKk6wvWA7EkFCrGssTg5OpHsk80ZpBZnB8TgWqWncsBOjuxtFLY04N6p5Iaud9zSWfMEX9LPtx1tj3yX3VBWH1+ZQU6RG6tTOGc893HLal27VB9DoFWxgIAOFC0gNRrbG9mXM0OWo9x2j6uF/Y1CpaBrRh3Z3f+oK8gncvJlAhQJRkODy7EJObPoOXUsDSgcb7B2VuAeHYefiir2LK3bOLniGRvyj/o780/lNRqAgCDaiKHZevOUvhlwuJzDwf7fa0YEDB66QazBjxowZM1BXaSoy4eJji8xCSmCsC/lnaxh4W/gVlfhuJNXFagASp4Wye1k6DVWtVPhmUpVVxUsJL3EiX8XGc+U8GrALIV/EqG1HH+hBbUEhLp0IV7R3dUUmt6CurISm2pobJg/xd8HK1pakR57808Z3CwzGwd2DrGOHGTJ6NFULX6WvVI2NhRRaW/BWVyECQlgYzT9++4cqLXoEm0IDJXffiXdIGIr4ePRaLYe+/Qr3oBCiBw2jqiCP9AO7cX7ySfaeOYm9qzvx1/HKuQUEMXn+K797Xj/FPSiE4UEPd/p8Gydn2qUS6hxMuZZGiUBZsxPdFUV4Nyg4Vn6MmV1mdpzv4mPH8FldGDQjgrqyFtQqDd9qPoV8gRebLpLqHMSRuFgmbznCJNlRrGwsETRtUKiDAlOxlgoHdxo22eJQsZEyNtLX0oqvRw7nHo9dKF1UPFxjSfiYZ3jpzCLuP3YPb856l2OfVrDx/XNYWEuxmlSNy0V/zuwsxjtciW+kE2U59VTY5TPQ+SFu69abck0OB0oPcKj0EGeKz2BhsCBAr2e3hQfDXz6KxM6ezMSe5KWew0GtI7xLPf866kTA1Lv4IvULXrnwPFOG/otzO0qQSARO9f0RH4mSUcUH+KR9HEuNSaiM9nx48VuOLgrAsbCRLv/6PzSnU7DqFkPNnbdxfN92qDTlCxoG9iFi/zHaHpjN9uWfYuvkzMSX38Q7IuqGPHczf2869esnCEJfQRDSgYxL290EQfj4ps7MjBkzZsyYuQGoSk3yOM7ephfOsJ4e6FrbKU5X3bQxa4qakMokOPvYMvTuSPpODWZlxVIinCLo49GXlzal4e1oTZLxBNUaUw5VW6AHtSVFnTIYJBIpSk8v6spLaVLV/uOMwD8bQRAIT0ik+OJ5ZAl9QCJBt3sX9w0IYrzqIhKJgNHaAvWlRYY/YgS6XzICm709sB8xAoATP35Pc52KwXebJDb8Y2LRt7VR6GJPeXYG3ZMmIpX9dYO9Lnu6VcH+HfuqdXYo5Fr61Ioklyczd99cLtZevKKd3EKKe6A9lmE6fiz4gdhWd0JamzGsNND1tQxk4c+hdnoani6C5yvhpXp4QQXPVlBqdQs2Fc2oXrkbn08+RqLTUlEWzPMNs8lv9EPeco6x2xfwRde5NOgauP/MLIJvs8DG0RJt3wIWXHyBtS5LcHS35tDqbBqqWjE2Syi3LeXtzU30en0fr/3QjKJlLO/2W84nAzbwdImCZryIfTcdqd6A5uH7yUs9B0CtzgZn23psXRp5JPZhJisns7toN8tli3DyVtAUn88pw2FurSgjDy+O9OmGXmJBRFM5XSTN9Fx6gXGP76ctNw/PVxciPj2P4/t3ENq7L/d+uJSEqdPJr6um6omHOXA6GbeAIO5860OzAWimg84ugb4HjARUAKIongcG3KxJmTFjxowZMzeK2rJmpHIJjm6mwgg+kUqsbOTknKq6aWPWFDfh7G2DVCrBI9CBmpAsCtWF3Nv1Xr49UUxmZROvDnUmpKaUMq0ryOU0KKww6PW4Xycf8DJO3r7UlZWgrq35W8pD/N0JT0hENBopyMtG0bMn6u3beXRoKM/c0hOJtQJdXCi1pSYF8D9iBFrb2ePo7kllnklLuKGqktNbNhDZfxDe4ZEA+EZ1RRAkJK9ZiZWtHV0HD//jF3gTsXEwaQVWW8nhUv6Z2C7Q2G7Dw+p6ZhkTOFN1hulbp/PA7gc4W332ivafnP8EqSDjhZpUsguDsWjSI0gkVL/1FnWff0HuoMGUPfkU9WvX0lZSikGjx+6rHSgS+mA1cih2gwdj0zeBpNzDrLYYwDCb10nSLaSiGeI3/h/fug5CaenI/2X9i8Jxu/m8dRERThGcrj2JsU8ljdUa9nydDkCJVCC+Zx7/GhhMXUsbC7ekk/jv/TzzTSbjjRk05PliU6th7xO9OLx9I17hUQiCQLsIlW1KPKML4JMEbmsVeb3vQk7VnWBp+HOslL/PRHk4dzVVsCp0GL6h9SQvHM9ncXLkbu5EbsmjcGQowTu2Q2J/ti9ZhKuvP6Mf+j8c3T3oM/k2vMKjSNmzHTsXFyY98/I19RvN/PPodByMKIolP9tluMFzMWPGjBkzZm44qtJmnDxtkFwq5iCVSgjp7kbB+VratO03fDzRKFJT3ISrv0muQBRFlqYuxd/en1inASzanU1iiDODChYhAvoqKVZRkdSdzERuaUVQ996dGsfJ25fG6ir0Ws3/tDzEXxVX/0CUnt5kHz+M/ejRtBUUoMvKwsLPH315OZqBsVTm5WCjdLpujuf1cA8OpTI3B4CDK79EkEhIvP3ujuNWNrZ4BIdiNBiIHTEG+V+8PoDi0v1oVTfiFWYyZK2MWnZpe+HsqGbKj9l8vsGFx+IfI6Mug7u238U9O+9hc95mnjvyHFvzt5LQHoB/ayvGdA0OY8dh+d1igrZvw2HqFKzj42g5dozKF18ib9RocgYPQdKkQT1mBKVfbCd57TfoR4/CsrGONdJz/PhQP8a7KpnMW2xu74Pf4Q9Zrhbo7tyV9bnriZUHMczhVUKUkXxc92+cXXRUFzahlbUwSzzA2rSXmZc5jV3Kt7kY9yMbIg/wjNV6ZDoDLWfKyB3qT0udkTathtEPPo69rT0aCxlzq+ZSme4PgoTIzA8Yt+UFPvAZg7qtkX5yN17I3stBaQ/0QRbIWvXYWcmxKC2k5cgRGh+cSNJ7GzFaW7HpnVcRERk/7/kOfT+JVErSI/OIHjyCKc8u6FTVVjP/LDobK1AiCEJfQBQEwQJ4hEuhoWbMmDFjxsxfFVEUqS1tJjDmP+GS6u3bCe2ZwMVDZRReqCWsl8cNHbOxRkOb1oDbJS3CY+XHyKjL4JW+r7BoZw5avYF3g04jHNrIzug++K0rzEOiUQAAIABJREFURTYthsaU00QPGIqlonNC5k7e/ymUZW/2BP7XEQSB8L6JnNiwFsmd94FUinr7DhBFkErR9Ium5J0N+PyBojCX8QgOJevoITKOHCD31DH6TbvzFyHAQd17UVtaTOzIv355/58axSE9elOelY6IgRX6IUxlP/ZO5egL4N6u9zI9YjrrstfxddrXPHvkWWzltkwKmczU3WvJyfJEaDfi8uC/cJG7ce78NrzvmI5PRBdEUaStoIDWk6doPXWKYm+BjOT9NNWpyE85hSARGBwWgv3xg9hI2hhXV8eUR/6P99Pf5PiZ5bxUsIL3KpSsU7mxTZPI+7YXsfMeiFHxGd85fcCI2ieptMtnjraQs4ER9FREQWMptmXJxDdVEC8aqc5zAoOR7PHhWP9Qik9kNI4enig9vVBVV6PQadjW3oeQoQtpPvo1ia07GXBoCXukltgbdGwV+5CtDGTqg7vROlii/7aMlmPHkHl40Dx5AKIosuuzxdSUFDH56ZdwdL/yb5m9ixsjH3jkv/14zfxN6KwR+ADwAeANlAK7gBtTa9mMGTNmzPzlUZU1o23Rd+hm/R5qiptwcLXGwvq/l6vUqm5D26zvyAcE0FdW4jnSAVulJTmnqm64EVhTbJKGcPU3GYErMlbgau2Kt7wf36ec5qUebbgmvwKhI8mQKQnUF1NiY4FRrydm2KhOj+P8E905c07gn0N4QiLH168mPysN5969UW/fjiCRYNO7F9o2Pc31dfhGdf3D41wuDrPrs8U4uLnTY+ykX5zTc/wUYoaORHEp1PKvjLW9PYIgQRSN+ERGY2lhiU4uw6CRctAulv4+qbRpLMFoRCFXcFeXu5gWMY2jK94m4dZ5nDu4nUjd+2TmeFE4wBd9TgbJrz2Htkl9SRpjNnGjxmEZFIRlUBDK26aRcvY76t/8juH3PUxwj958/cSDpLna0yujkJbkoxhUKpoPHWbu2LHUTprF0yfieET1KrNsLjLLxpSbeKYmhLQ6Z74LrWBn2DK8hVKya4O50BhEVOh9yHv7IPfwQJCAsbaQ+tHTsBnYkwTfMZys/oDgUSYvv1NwCMWZafirK1gQNQG+Og1EA13oJWRyq+wgObIwfA2VjPz4ENYhoVhWVJA/eQrGxkY8Fi6g0daNs9s3kZl8kH633kFgXI8/74Ga+VvSqV9iURRrgRk3eS5mzJgxY+YvyuG12ahKW7jn7f4Iv0NkXa3S8P2bp+mZFEDPpP9elebaS0VhXHyuzIURJAKhPdw5v7cEbbMeK9tf13D7rVQXm4rCOHnZUKwuJrksmX91e5BXN+cQZNfOzNKXwcYVJn2K6+L7EYHsolzcg0JxDwrp9DhKT++OF2lzOOifg4uvP84+fmQdPczI0aOofOFFAJxm3oWYXweAb5c/bgS6B4YgCBLa23QMvPPeq5bxl8pkfwsDEEyFjRQODmiamnD1D8TG3gFttYqFyioWWs/BTvse3SNyaF86HNm4d8GzG5ZSS2LwxkpmhTTlS6pLHJG2i2RHeZP15cf4domh79TbOb31B/Z//TlVeTkMm/MwcgtLALTnihEkEkJ6JaCwd2DAHbPY9emH6ObPI3rwcPTV1dQt+4r61auRb97Mk0lJnE1Ywt6Ty4lrLqZ+oAVh6UXc6ZLLLQ0Cy+3q6X7MAsUFOX05SzH3mC5OKkXu4YHE3h5jqwbnmTOpzjLlH4f0NBmBzj7+GCUSJrloGRknYNm7D6dSztI1phvGMi+aN+SSdGQP8tY22of0IuCdT9AVFFBy72wsAgNxnDQJ9+wMvl/5JcE9+tB70vV1Ms2Y+TmdMgIFQVgOPCqKYsOlbSWwSBTFe27m5MyYMWPGzJ+Pod1IZb4ag96IqrzlFwZVZ0g/Uo5oFKmvbL0JM/x1LlcGtfWQcW7zVxh7dcMRDc5AaE93zu4uJu9sNV0SvW/YmOXZ9bj42iKVSlibtRaZIKM9RUlqWQNHg75FUlECs7aDwgm3DBWVPg6oKsoYPqfzJfYBZBYWOLi501hThY3yj+Wcmfn9hCckcnTddwgz54BMBgYDdsOGIVn1NTaOSpSef/yzJbeywiM0DEtrBSE9E27ArP98bJRO2Dq5ILOwwMbZlaaiYrzkIh89NJkXn67E0bmKZ8tWofxsEO3xs7AYbhI1zz+9k7iWZNIK/WkPdEdyshHv6G5MeW4BEokU74gojv+whqPff0dtSTET5j2HnYsr6rO5+EV368iNix44jLQDe9j52YfsX/4F1vb2RPQdSNSa79Bv3EL9qlUEb9lC3OjRYOXBHkct3/YbinGfSJSxkAGHzmFT1kTuED/OT4vgcasZ6EtLaCstRV9ahr60FMvwcBQJCeS9Mh8XvwAc3ExRB0pPLwA0FaX0mzbGFLq6LRvfRetoPngQV5kM/eAe+N79MDZxcQiCgHWXLgRt3QJAs7qBLe+/haO7J6MfehxBcnOkbsz8b9PZmJyYywYggCiK9YIgmAXpzJgxY+YfQE1xEwa9SWurLKv+NxuBBoORjGSTiLa6VnPD53ctakubsVVa8tixRzhddxp2gFIrYfG0HcSs3oiju4KcU1U3zAhUlTVTXdRE/1tC0bZr+SH3BxK9B/HlXhtecEvGq3wnDF8Afr0RRRG3jDoyojygld+VO+bk44vRaEQikd6Q+Zv57YQl9Ofo99+Sn3kRt2HDMLa2IHVxoTQ9FZ+orgjCb/ecX41bXngNQZDcsP7+bIbcfX+HjIWduzs1FjKkTk54Olrz7z5O1I6ew6s7kuiWu4Q7zyyjNXUDDVVKAgoLKNW6IlG1kRJkj7XCmqRHnuz4DggSCQlTpuMWEMy2xe+wcv5j9J4wlcaqyis8ZoJEQtKjT3Fhzw7aNBrqy0s5+eP3nPhxLQExcXR5+w2UZ87TuHoNxtZWJmyB3t3cyBOjiSxIo8LOAsOQRM4/7o9ObMMmrBf07nXFNaq3b0fTpKYsM53ek27p2H95YUCtbqBuxQrq16xFmZeHxtkZ4a47OFySjbqqGt56ESsbW5x9/YkdmURE3wEYjQa2vvIsep2OW198HUuFzc1+VGb+R+msESgRBEEpimI9gCAITr+hrRkzZsyY+RtTnmNaA7S2k1OWXU+3ob7XaXElhedraVW3YetkiVqlvRlT/FVUZc3YeViQUpXCKLELgwfcxXMHnmZxl1K+AMJ6uXNySwHN9TpslZZX7UOt0mDnZNWpl++M5AokUoGw3u7sKNyGuk2NpSYRf7GQWc1LIXQkJMwFQF9cjHWjjgYnBYK2HQc39998fQPvuAdNU9NvbmfmxuHs7YurXwCZxw4T9+4iEEUaKstvWD7gZS6HNf6v8FO9OlsnZ3QyKW3l5R37wj3seO/ugVwsi2Xhlq2ML1tEvFMuu3Q9CAu/gzrbJTTpNEyY+8RVw2CDu/dixuvvsWnRaxz8ZhkSqfQXXlQ7Jxf63XpHx7a6tpqL+3eTun83W8+fQeHgSPT/PUy3mO7oU85gXPwBHq37KHa2p9DVlcK6Cm6tm4k64urVWK0GD+LI6hWIopHgHn069tsonZDJ5LRYyql6/Q2soqNpnHU3rkMGsmPJIqxsbUmYOh1BIqFZpaI04yLbFr+Dwt6ByrwcyjLTGPXg4zj7+P3u+2/GTGcNuUXAUUEQ1l3avgV47eZMyYwZM2bM/JWoyG3A0V2BZ7AD+edqMBpFJL8hL/DioTJslZZE9fPi5OYC9DoDcsub77nSteqpq2jBPkCHKIpMEmPpGzSGjEWv8HWvVn7I/YEhPUZxcnMBuSlVxA775QtV/tkatn+WStJDMQR0vXbxFUO7kawTlQR2c0VmLbA0dSmedp5oapR8In8SUVDApE9BIqG9ro6yeU9ilAi0WMhxcXdBKvvteYlOXj7XP8nMTSe87wCOrF5BU10t9i5ulKSnAjcmH/CfgK3SCVEQaEy9gPjQw7QVFmDdrRuK+HiivR2Ivv92zhSN5O1XFzK0vhJJdTI1LkpklpYEdIv/1X6dvLy5/dV32PfV51jZ2WFta3fNedi7uNH3lhn0mXwbBedSuLB3Bye3bKC+qoJx/zefwn5e2H+5h6yyXHxDw2lv17N98SJ6T57GMWM2bVoNeq2GNo2GNq2GsqwMtE1qwhISr8j3FQQBJ28f9PaOBLy7BKtu3Tj9yYccffd1XP0CmfTMS9gqnTrO17W2suqFeWx693XadTpCe/UlasCQP37jzfyj6VQQsSiKK4ApQBVQDUwWRXHltdoIgrBMEIRqQRAuXuXYPEEQREEQXC5tDxIEoVEQhHOX/r34k3NHCYKQJQhCriAIz/yWizNjxowZM38M0ShSkdeIV6gj3uFKdK3tHXl2nUHT1EZpZj2R/bxwdDNJH1wOCd27PJ1TWwtuyrwBKgvUIEKmxVlcrV0JxQ2AcWlWdC2X8ebJN2m0rsHN3+6qwvFt2nYOrTEJdOemVF93vILztWhb9ET282RN1hqK1EUkRYwloeIbPCR1SGeuBYUTbaVlFN0+A112Nvvn90ZsMdyQvDEzfx5hCf0ByD52BIDck8ewUTqZn2snsVU6A9BcVYk2NRVjcwtFt8+g4qWXMajVAMT7O3NP327EfLKY5uPHqXFQ4Bfd7apFcn6KhbWCUQ8+xqA77+30fCRSKcHdezHpqRcZMGMWOSePcnbHZkIcu3FWIUWUCIx44FEmPvkCDu4eJK9ZydHvv+Xcji1knzhKeU4m6ppqfKOiuf3VRYx77OlfRBIovXxokcuw6taN5DUrKT64m4CYOKa98uYVBiCApULBxKdeRBAkWNrYMuy+h/5nwoLN/Hlc0xMoCIK9KIrqS+GflcB3PznmJIpi3TWafw0sAVb8rE9fYDhQ/LPzD4uiOPZn50qBjy6dXwqcEgRhkyiK6de8KjNmzJgxc0NQlbega23HK8QBh7KzgCWlWfW4+l17Rf0yDVWmQjDuAfZY2Zg8XWqVFkc3Bdknq5BIBKIHemNte+0XOaNBJO9MNXUVLcSP8kcqvf4aZkVuA4IEDul3MiR4EJIs00uTBIFHDtvyf3camH94Pk/0eI3j6wtoqGqlqqCR4xvz6TrIh+Z6HS0NOlz97ChMrcVoMHYIzv9ifkaRC/tLsFVaYh8k5dONn5LgmUCYcwSO2lVUyvzw9uuNNiuLktn3YWxrw++rZZRaf4/LzlqUPczGwt8ZpYcXboHBZB07jGdoBAXnUug/fab5Rb2T2FwyehxeeI6QiVMQtVpqPlxM3cqVNO3bi8ezz2I3ahSi0Uj5M/NpsbKgVTQSFNfzps+tx9hJlGZc5ODKLzmwYimCIDBs9kMdmnx3/XsxbVoNFlbWSKSdj3BQenmTfTyZrR++TdbRQ7hExTDxqRd/tQ9Hdw/ueON9BEEwC7+buSFc71f0stGXApz+yb/L27+KKIqHgKsZie8BTwFiJ+bXC8gVRTFfFMU2YDUwoRPtzJgxY8bMDaAi15QP6BniiLyxEkd3BWXZ9Z1u33jJ6+fgao29qylvRl2jQVXejNEg0q43cvFg2TX7qCluInujyI7PL3JycwEl6ddaf/wPlXmNKDwkNBjrGOAz4IpjLq1SXkx4kdTaVI5b7wIBjqzLYd+KTIwGkWM/5JF6oJSo/l50H+2PrqWditzGXx3r6PpcKnIbiR/jxzspb6PWqXmixxPUNUKUUEizzJeWkycpuuNOkEgI+GYlivh4LJpB0Itmj9H/AOEJiVTm5bBn6UcoHByJHzXuz57S34bLnq82RwcEqRSJjQ3u858hYO1a5K5ulD3+f5Q88ADN+/bTkpyMZpLp3gbGdb/pcxMEgVEPPo5vlxjix0xg9uIv6TpkRMdxiVSKlY3tbzIAwVQcRhSNZB09RP/pM/EbMPy6fTi4uWPv6va7rsOMmZ9zTU+gKIpjBdMy1kBRFH/uufvNCIIwHigTRfH8VVbHEgRBOA+UA/NEUUzDJE5f8pNzSoHe1+h/DjAHwN3dnQMHDvzRKf+taG5u/sdd898J8/P5a2N+Pr/EaBApOigiV0Dy+YNYF2ch2PpTktHK/n37ESQCxnYRbQMoXK7u8ahONYIAp1OP8VHNEoYJD5D+/+zdd3xT5f7A8c+TpEmTpnvvQQebAmWvspeIiAM3enHdq3JdV73Xcd3rqlcFF4I4cF1QENl7llmgpS3QvegeSdMmbcb5/VFE+YFboMjzfr36Mjk55znfcx5i8s2zDuWSX9i+v7sP7F9bSJOuCJXmzGVUHXLhtCtEDVNRlqawc00GRXU//Rumy6lwPF+hPiIfDRoceQ6Ki4rIXr8KQ48Eanv0w73InX4e/Xg3fy53+r9AcWYdOi+IGmPH1iAwlym4gioorqtAqGHrigOEVpx6XqddoSEPqg4pGOPbeKz8bvJb8xnvPZ6KjAqKa3PwFi3k5zkp/vQvOAMCaLjnbsrLy6G8nOjqABqBkuoaGi7gf3/y/QOtor2lu7a0mMhho9mxa9d5juh7Hb1+XE4HAIcP7Ke4qgZTUR6hfQeh1ungb3/FsGkzruXLUbW2Yh04gCP1Nbj7BZB+OBs4N53DAoaMBmB/5mmjnH6T1iYz7r7+hPYZiNUnkOYOXkcXu47+HvotfnZiGEVRFCHE18Dv+rlFCGEA/gWMO8PL6UC0oigWIcQkYCmQAJzpG8GPtiAqivIe8B5ASkqKkpqa+ntCvuBs3ryZi+2aLySyfjo2WT+nMtdZWf3uYVqq25c7eNv1LIXRh3mj62zWL8iha2xfgmO92L+6iJz1BVx2bzLhSaevVbc2Pwubnwl9F4W88jyG6U14uXfG4K6l3lDNhJt7sPS1AwRpE+k+/MytYauPZWI21jDlupGsasqkutjMiBGDf7KrXWWhiRznfkp8j9AvtB/jR42nMXcPPpkP4vQup27zToJmZZLiSOGK5VewK2IFE9xvYPIdvfAK0J9+P7atw1zrwYgRg2iqs1GUWUdRZi3lxxpwORQiu/nyQfhTHLce54VhLzDsqAqv1FSKP91GU7kOfVox+p49iXjnbTQ/WNPPZ00zG9jEyImTMfr5/4aa6hjk+6dd3d5tNDc0MP2Ou37TRD9ny4VQP0c+W4CPTkvptnVY6uuwVZZxyeyHCOmUAKNHY//rnZjXrsVw6RS23PUX+k6eyvAOfk0/Z/yU7zu3XQh1dDH7M9bPL11dcpcQ4vd2vO4ExAKHhBBFQASQLoQIURTFrCiKBUBRlJWA24lJY8qAH85FHkF7S6EkSZJ0lpRm1/O/5/Zhqm5h0p09cEtuYsfxHRwXJkqMOQCUHW3vklmcWQfAjiV5KK7Tf6Mz11rxDtSzpmgNAA26Gsy1VmpKmgiM8iQs0YegaE8Ori/BdYbjAUw1VrQnliaM6emPpaGV2tKfnpymMr+96+Yh9S6GhA+BIyvxrnwdFBetTQaCEsvggwkYG8t4buhzHDRsZ+/QL8lo3U9OXQ65DbmUNpWiKO0xhRkaaaq3seiJXXz8aBrbvjhGU52NnqkRXHZvbxpSM8lryuO2vrcxOW4y9spKALzqCjGX6RHu7kR9sOCUBBCgvqIMN3f9yTFR0oVt6v3/YsZTL3aoBPBCYfT1I2fHFiwN9Yy6+XZcDiefPfYg6SuXoSgKbmFh+M+cyYENa3A5HST0H3y+Q5akC9ovXSJiJHDHieStmfYWOkVRlJ6/9ESKomQCJzsynygrRVGUWiFECFB1otWxP+3JaR3QCCQIIWKBcmAGcO0vPackSZL0yykuhf1ritn9TQF+oR5MvL0HPsEG/rHlZTzcPHBvgyXlXzI89GbKjzXSbZidygIT/uEe1JQ0kbuvisT+IaeUaaqxEtPLnw0lG1ALNVXulYTXtKC4IHlMFEIIksdGsfb9LIoyaolLDjw1JkWhsdqKV3T78+juASCgKLP2JyenqcgzofFx0aI1MzBkAHx0BU5NIJpbN3F8ylV4BtcTrD8G7wylz7D7uKP7LN7KfI91xetOKSfBN4Fp8dMY5tuGlyUCo6873YeHE9MjAJ/g9tlO66x1vPv1OyT7D0Qr2n+3bPziC8zffENIv0aabQbU3t6oDIbT4myoOI5vaJicQORPwsPn9NZw6Zfx8POnpqSIXmMn0nvCFDoPGcHqt//Lpg/nUZKVyfg7Z9PW0szeZYtJGjSM0ISk8x2yJF3QfmkSOPHXFiyE+AxIBQKEEGXAE4qizP+R3a8A7hRCOAArMENp//nVIYS4C1gDqIEFJ8YKSpIkSX+g1hY76xfmUJRRS0K/YEZe3xk3nZqypjLWFq/lxq43QuYRPji+gymxt1K2r5HizFoUBUZck8TWL46RtjSfuN6BaNzaJzdoszqwWew06qoxW81clXgVWRXHcdrbW9e+S+I69Q7E09+dA2tLTksCW8xtOFqdaI3tSZLBS0twjBdFGbX0mxx7yr6KomCz2Dm8tZyS7DpMEZX4ufsR71TAVMpCcSMBeQ4CtV6UN/piufq/+G//Nz5bXmSmVxyJhwOxCS32oX0wjEwlvT6djIoMXtr7Elu1scz59/Xo1LqT56psriS7LpvFxxbT4rDS81AtjXs+I+O2ARhsNpw2G7FtxdTZvDGEn3mNwYbjZYTEyy+zkuQXFkFNcSFDZ9wEgN7Ti8sefIz0ld+wddEHfPzQPXj6ByJUKkbc+MuXe5Ak6cx+bokId+AOIB7IBOYriuL4JQUrinLNz7we84PHc2hfTuJM+60EVv6Sc0qSJEm/nqPNyZKX9mOqtjLs6gR6pEacbJmaf3g+Qgiu63IdjZlf8rHYy1H3A+ja4ti3qhidh4bgOG+GTI9n2X8PkrGxjD7j25vtTDXtM4NmOw7i6ebJX3r8hVt333vyvEHR7UmgSq0ieUwk277IpSLfRGin76c//64M7YlGP/OqVcT07MLuZQV89Z/9tNmc2G0O2qxO2qyOk11Ko7v7863nGwwIGcDqlfOZDHxl7UH2Fwehzx3thb2TBVzJMFUSzzbOJzWykN3Hh5NEAv4x4xBGFQ/3eZjFxxbzZNqT3LXhLnoE9CC7Ppucuhzqbe1dYlVCxWBdCg/aF4MKnpgfyjC9P2HOOkKop87qib7n6YuGO+x2TDXVctFnSQKGXzeTQVdcg7uH8eQ2IQR9J08lPKkL377+IsePZjP8upvx9DvzjyqSJP1yP9cS+CFgB7bR3hrYFZh9toOSJEmSzp2D60tpqGxh8t96EtPj+y9XKwtWsvjYYq7vcj3BBdswmnYzKnkU32Qv4EqeobGqhfh+gSwvX87UzpcS3cOf/auL6TIkFL1RezKBS7NsZVTXkYR9ei1qbfsyEToPDZ7+7ifP1XlQKHuWF3JwXQmhnb5PmEzV7esMzmuei/VoDSMqm0iaOpKSrDqEEHj6uaPVq9G6a9C6a9AZNER188dsrKZoWS7D3abikT+fKvdIPoxyoyB1ILsffRadm5rw++9Fq1bhpunHcdc1tHx6Kcnhuyle2Uzp+mWUXz4E+6Uj6PvQIu4K9WHugN3srdxLJ59ODAsfRlf/rnT170qCdzyFL46gyuVDo58X/2ycx21d72dWxWZcDlDZ7GiCgk+55y6nk4pjOaDI5SEkCUCtcfvRsZQh8Ylc/8LrFB7cT+KAIec4Mkn6c/q5JLCroig9AIQQ84E9Zz8kSZIk6Vxpbmxl/5pi4pIDT0kAD9ce5vGdj9M3uC/39Z4Nb/bBYK5gRtTnrC1eC0oFiFCOGdOZt/EVEi9JYPC0eD5/ejf7VhQx7OpETDXtCVylpoQhxslwfA6RwYkABEV5IoTAvGoVXhMnonXX0H1EOPtXF9NY1XJyvJ2p2ooiXBRpcnl619N8LPyZqxnL5Q/89ITVa3KWAbBqp5a71Tmoet5EUy0MiPMnfmwP/G+++eS+rpYWKh59kcZNGmrHG0nquh+VUEjO3MSesmX4NaoY3aDmqle3kNNyhMF+g045V9b6j+jmzCNrV2/ssYGIeAfvKf+hpFMwjhY1Vjc1WXUVtL77BqbqSkzVVZhra1BcLgACIqN/Zy1K0p+fu4eRLkNGnO8wJOlP4+eSQPt3DxRFcciB65IkSX8uu74pwOVwMXh6p5PbalpqmL1xNv7u/rya+ioFRz4myVyOAFKO5xDZoKbY9ygx5lC+bFmIolJ469BbvDnqTboMDePwlnJ6pEZgrrGiNijY1a3oGnMB6GytpcDvEEN6TyPteBrqykz6nxh23iM1ggPrSji4oZTUa9vHyZlqrNgMTXRyj+OuwXfx+MaHuXHVjbw79l2S/JKwOqzU2+qpt9ZTb6unobUBDzcPNpRsIFgfTnB9Me7aNkgaC7WnTy7dVlZO2V130Xr0KCpFId91NdudObiaPajz0zC74WtaehqpLwxFsevILTiO9tDXUJWFvj4bX/MxEm2F5NaGoy6pQlVRh/rxrznwwT/obt9JcXMQhYE+FGXsw+Dtg3dgMCHxSXQeMgKvwGD8I6IIjI49LS5JkiRJOpt+LgnsJYQwn3gsAP2J59/NDup1VqOTJEmSzprWFjtH0iroOTIC78D2lrdWZyuzN82myd7ExxM/xs/dD9vhb0Hnha3OierbF5nQGMWH/VYzzGDHbK8nJSyFzaWbyarLov8l8RzbU8WupfnYWuw4Pa2ohIqAqhIAetitvJe0AA91A1+v+xqDQ/BR/VSS/JLw8NaRNCCEI2kVDJgSi95TS2N1C3XaCnwNvoyOGo16pRdPjqzn2hXXolapsTqsP3p9XT0mMEyViUOo0MQMhR1fAuAW0j6DafPuPZT//e8oDgdtD/6d9LUrGJy+l/gZ1xA56xamL32D4j3B/Mf7XSL65NL6nyhuEid/G6VG8SZPFcM6zRgCauqJU1cg7A4sB/OJCJvGX5puJ6ZiO900O/H2D2TWWx+craqUJEmSpF/lJ9cJVBRFrSiK14k/T0VRND94LBNASZKkC1izqQ0UCI5p/9+5oig8ufNJMmszeX7o8yT5JbH2QB6+x9L4xtGfec4JaN1bGF/b9pFqAAAgAElEQVTtRKVY2dD2LZNiJ3F5t+l467x56+BbeHjr6DMuivwDNVQVmGlyryfSMxLj8SIaFCNd29oA+Drva3qXuaG3C25fdzulTaVA+7IRTruLzM1lKIpCQ3UzDbpqfA3t6+hFVDt57lsjQ6OHcUXiFczuM5unBj/FnFFz+HTSp6yctpL3XTfw7th3sRztzwS3vRQHhoLW4+R1e06YQP0niyi55RbUvr4ELXif7ds3Uq84qWqsQ11UiC0nh+s3r2e9qy831/yT+6138KVmJJ/HjKVgwsdU35aJz+NFDHpiKzVjEojJKqdk9FBKosNoWrsONwFv3z6OhPBi2jRqDD4+57h2JUmSJOnH/dLF4iVJkqQ/GZulvVVLb9QCsDBrIcsLlvO35L8xOno0hbXNrFkyD73SynqfHizUjMWqaPEMbiY1T4daqLnDP4XBK1/kpsQZbC3bSmZNJsljojB4a3HYXVS7lRPrFUuQuYgNYgA6h454lweTYifxyAZPnljjiUNxcPu626m11uIX6kFMzwAyNpVRW2bB2apgcq8hSH9ymVkCm9Vc0vUS/tHvH8zqMYtpCdMYETGcHhpPtPfMIGjJGuI8+pDcspMYpYpdCd1PHutqa6PisceoeuYZjMOHE/PlF6RtWUebzYZao6E22B/Lxo0UzbiGzqtzeUCUscW7G6ucA0gb35ODgxKJG3gpQWFRaJwO7FXV3LDJiE2tJqu6nNJgXyxbt6LY7Xi5u+FpMdPqpsEgF4OXJEmSOhCZBEqSJF2krJb2Vjl3Tze2lm3ltf2vMS56HLf3vL29VXDpAW5Rr6LW4IVhbCuvxTpYqxqCb1Atw/PC+HLyF0RteRX/0gyutbTgo/PhrUNv4aZTM+DSOABKVLnEaP0xKs24RfQmT8TzSomF54e+gJtLEGnS8Nbot6i11nLn+jtpamtiyPR4nHYXq9/NBMDmYcZT4wOOVgx+JtRaO612heL8HI6ufoeieTdgfqEzvN6L4JjD+PY4yoYH7uZ+zZcc840gM7ITjpoarBkZFEychGnxEvzvvIOIuXMoK8gjZ9sm+k+dTmT3XtQG+OKsr0ffqxdu0VH0L9xPdGsDjxWuZPKne5n00Fbyxo/naL/+HOnZi7wRI6j/8ENKeiWgKArmtlYcNhttRUUAGOqstLqp0Xt6n7EOJEmSJOl8kEmgJEnSRcra1N4SWO2q4KGtDxHpHcUzQ59BCMHyjAqGFs2hmyhmdZ/BIATJsQH0vf45VLgQnVs5sHARouowtYoX7mnvMLPztWwv386hmkN0GRRK7+sDyfM9gEeDDYDQzgPR+HQmTinl031rT8bRM7Anr6W+Rl5DHvdsvAd9gJqB0zphrm0/Tu3pzuvLQ7B8PouwngXEDj7M0HduIvrjgSTtegjPsk1sb4niZfUsHmm5DZXWydVhi/GmmRUDhqCxOiiacQ1Nq1bjFhlJ5LvvEDR7Ng6HnfXvz8UnJJQB064mrncKTbYWjE89SdSC+XhPuRTl0AHWPzyOoUFa4lbn4mcIRN+tG95TpxJwz92E/PsJQl97jWqDB1q9AUVRsAT40Xr0GACG+lYcKhUGLzmCQpIkSeo4fm5iGEmSJOlP6rvuoA/vfQCtWstNfW9Cr9FjstrZ8s2HvKJZxY74HhyObJ851GviRLyAOq/RXNK0hmrzEcpEKPc7Z/GF9Wmusdj4UOfLWwff4t2x72KNrMaZ78CzsgqHoiK6pBpj3/Gw4UsO79rAwB/EMiR8CM8MfYaHtz3MQ1sf4j/D/0PBwRpKc2uocxi4Q1mKMe8bKkrD+TRwMLEelTRH+tCr59/wje7BGG8DkzQqXC6FJa8EMtLyJkfM8VT5BjDgnYPYjx8n6qMP8ejf/+Q5d3/1JY1VFVzx6DNotFpie/eDD96lxtMdZ1YGO0uO0kWtwrR0KS179+IxeBBRCxacdh/z9u7C0tjAyJm3sWnhe9i6d6Z1VzqKy4Vno4ISLNB7yiRQkiRJ6jhkEihJknSRsja14dTYKbeWsWD8AmpUtQC8/+0WHnO8iTWgOyv7tC/M7J/bQHPdTjwGDwaf0SgiiyBzGVzxKrpMA2k53ei/cy63THiIVw68wcHqg+Sb8gGIqC6ixBlG61PPYO3VE21nFSm12bQJNVrFeTKeyXGTaWxt5IU9L/B42uNcO+N63vz6DQx1YdzrtoTFzuG85DWDOpcnY0Zn4uvfzA1Jg1AUhdbcXOq276Bl715Su3TGeHcuiYs+JTgzjc6rCvG76cZTEsDa0mL2frOErsNGEt0jGQCf4BB8wyI4uGYFTbU1OOxtBCbG4f7mm+BwoFxxOcd2bcfWbMFmsZz4bxNl2ZkYff1IHjeZtMWfYfH1RrFasWVl4zRZINgXvZfsDipJkiR1HDIJlCRJukg1mppoVpu4veftJAcls652PYeKaxiZ+RB6jYLu2o9wVc6j9yfZdF9ylBJlC+GvvQoqLeKK+VgXv4C+6zSu9NjL65mX83nL01zV3MoH7n7MPTgXP3c/gvQhdLEfI7ctHD8asB7KYHdUD67w2Mbe+F5oc08dlXBdl+swt5l56+BbrC9Zj9Vo5e76FprcjMwJvIzqUh9mlm7DpXMQuqOG4x8/SvO27TiqqgAQ7u7YsrLwmzkTYbMy7MMDNIUYSfr730+eQ3G5WDdvLlq9nhE3zjrl/HG9+7J/xTL8wiNx2tuodbiIyM7FPnggiz9855R91RoN7kZPdB5Ghlx9Ayq1mqDYTjQ0NgBgXrEC+4n1dQ0yCZQkSZI6EJkESpIkXaQsZhtWNwtxPu2TuDhdCrmf/YMrVHlYp7wP/p0Ycf8eondVkDs6ip4NAZQ/+A+8Jk9Cue46LPrxNM97nz65uazrMZ19BV3os3MOt4x7kP+k/xcPu4oQk5Eg0cih1lj8ALfwcILTYd3gFEaH7aOhLRQaisA35mRcd/a6k8T0Gl7R76KiqY6rnNkUhHajT/8irnwhk7H1R2m9uRRNm5Mmzxw8Bg/GY+gQjEOH4qito+jqq6l69jla9u/HaHJQOeduVHr9yfIzN63l+NFsxt8x+7TkrNe4yVjNZoZdO5N9337FwTUr0HTrSnmPzqj2NjDjqRcx+vrjbjSi0eoQJ5K87wTHdiJ95TLcEhMwLV9Om0YNIFsCJUmSpA5FTgwjSZJ0kbJa2rBpmvHV+QJQsXEvV9i+ojj2GvS9r8SybRvRuypIv74rO+/pS+Q7b6OLj8e8dBlH+6ZQO/ctal57DfO333Jb6zFes1+GqqmCq1rs+Lv70+zmItjeniQ5rSrUPj6EPPkkjvJychr7stPZHf/YCni9F7w9FDY9DxUZoCgkE8lnkxbTp2gcPtjID+mMVudkxthe6KOjURsMRC/6hMS0nUS8/l+8p19OcVkxa9csxXHl5ZiWLcNeVkboc89i7xJ98pqbGxvYuugDIrp2p1vqmNPuiW9IGBPvuh+jnz+xyf1wOhzw8AMcy86gU0p/QuOT8PQPwE3nfloCCBAUE4fT4cDeOxlnXd3JJFC2BEqSJEkdiUwCJUmSLlJtzS6sbhZ83X2pLsvnspy5FLt1Iura11AcDqpeeBFLqCdZlyVgVBtRe3kR/fHHhL/6Cn4zb0Lfsyexy5bi3rUr+qVfQMwwMkQS7jveZFa3mQAk0kKZCMBQaUOXmIhx6BC0nTrRs6aA6x3/5OvsCTjGPI1La0TZ+hK8OwzXaz1oq1vH//ZUMMaeiUPjQalfbHvQLheWLVsIvHEmhr59cTgcHFjzLR/cewfL/vMMeXt3keWy4TF4MF5TLsF78uST1+tyOVk3bw6O1lbG3nrXGZO4Hwrv0g03nTvbFn2A1Wyi24jRP3tPg2LjAWgOC26/x+oTLYFyYhhJkiSpA5HdQSVJki5CiqLgbAGb0YKXmxcNn1xOGA40Mz5EuOmpX7SItvx8Os+dw3Pdv09+1EYPvCZNwmvSJMyrVuGelITfLbdw/IEHuNujlldbp7JQeYmrbC7K97tzvX8xO/T9iC8ppiDOiL6oAH33bgTu2IYhopV7427k3m8B7safGxmlPsCUhjSGq1dgXqNnmts+csKicKrbP65sR48iDAa0kyay7bMPyVi3CluzhZD4RC75+400VlWy/bMP0b88h8CoGAB83XxRFIXNH75P/r7djJx5O35hET97jzRubkT16EX+vt0YvH2I6dX3Z4/xDQnFzV2PSSgYtVra3NRotFrc3N1/SzVJkiRJ0lkhk0BJkqSLkL3VCU6Bza2ZZz7eyuu2DBaGTmJmpx44TSZq33gTw8CBGEeNQlEU1s2bg6mqkmkPPYFGqwXal4xoMTViiY1CExZKyOol1KTM4ojpK5J2vM5lVXqC/Vop1IYS31ZEekUx2c88ysTeg1Ata+DpklUc1gcTMHMmKiFQCVCJgeSKOwledSP3aRcDsDoyEq2llc6HazCvSIPLp/LBo/fhcjiJ7z+QvpOnEZbYGSEE1iYzuxZ/xqG1Kxgz628ApHi3T/ZyYPVy+k6+jD4Tp/zi+xSbnEL+vt10GToCtebnPzKFSkVQTCzVpcXE9+1Da22ZHA8oSZIkdTgyCZQkSboIfbdGoE3ThrF8F6ihrq8PALVvvY2zqYngRx5GCMHe5V+RuWENAOvnv8X4O2bTWFXBvm++ImvrBpx2O5dcOgXrO+8xe9rNvFw1lfmuVwjvZKBF0eFAjVV7oiXP0sS6A7vor1Ez/q4bSM3Px39k/Gnx1eXeBKpl2Mp2o8nUMmreRwhFQRMYSFGwH6JIxc3/nYtvSNgpx+k9vUgaPJzsrZsYdu1MdAYPGqsq2fbZQjqlDGTE9bf8qvuUMGAw+ft2kTz+lyeOAZEx5GzfTPC/nkXz/hwMqp/udipJkiRJ55ocEyhJknQRsja1J4HNOJgYsBuzu4EaTx9aCwupX7QIn+nTcU9KojjjINsWLSRxwBAGXn41WZvXs/iZR/ng3jvI2rqBrsNHodXryVNaURmNdNm2nFzvoRRo4jBqW9jh6kZYYy0tJ5LAsbfehdXWQn6QD7bsnB+NT0ENN3zNgR4P0HP+IRq7RxP96afErl1D7qF0OvXtf1oC+J3k8ZOxt9rY+81XAGz9ZAFCpWL0X+5AqH7dx57By5vLH3kSn+CQX3yMf2QUbdYW7H6+tKlVcjygJEmS1OGc1SRQCLFACFEthDh8htceEEIoQoiAE8+FEOINIUSeECJDCNHnB/veJITIPfF309mMWZIk6WJgtbQB0KJS6G7JpyA4HISg+qWXUel0BM6+B4fdztr33sA3LJzxd85m8JXXEdenH+VHskgeP5lZb85n3G130z11LMf2pqGdNhXL2rX8rasHL7ZcCkC6LRH/UhON/h5Ae8taYFQMLT5e2LKzT4vLUVdHyS23UPv6G5Q/+BCezy9GGx3NkbsvwdCnN6VHsrCaTXQemvqj1xbSKYGkwcPZ/fUXfP3SU+Tu2cmAy67C0y/gj7+RZxAQEQVAXWkxLWaz7A4qSZIkdThnuzvoQmAO8NEPNwohIoGxQMkPNk8EEk78DQDeBgYIIfyAJ4AUQAH2CyG+URSl4SzHLkmS9Kf1XXdQhA0fu4WykE5EHKrHsmkLgfffhyYggPRV32CuqWb6v55GqzcAMPWBR2mzWXH3MJ4sq/fES0lfvZySYD+ChGDooQ28rB/C9VY9hnoYXnyAo0G+aLV63D2MeAeHUlZUhC07G33v5JPlWDMyKLtnNs6GBjzHjaN5xw6Ew0nEnDfR1qQBkLNjC+4eRmKT+/BTJt19P0ZfP/avWIpXYDB9L7nsD76DP84/sn1JitqyEqxNZgxesiVQkiRJ6ljOakugoihbgfozvPQa8A/ak7rvTAU+UtrtAnyEEKHAeGCdoij1JxK/dcCEsxm3JEnSn9133UG9VY0ATE55hmEf5uIWEYHfjTfSZrOy66sviOzWk+ge3ydqKrX6lAQQwCc4hPiUgRxO24bHxAk0fbWEWb0D2e7qQXxTJV7HLTS7a/EKDEYIgW9IKC0uB61lZbhsNgAa/vc/iq+7HqFWE/PZp4S//BIJW7dQseRJdHFxRFjDsbfayNuTRsLAIag1bj95fSqVmtQbZzH1wce47B+P4abV/ZG37ycZvLwxePtQVZCH3WZF7ylbAiVJkqSO5ZxPDCOEuBQoVxTl0P9boykcKP3B87IT235s+5nKvg24DSA4OJjNmzf/cYFfACwWy0V3zRcSWT8d28VWP5XZLpzCQRQ1mHTeHHn7c7zyj1Nz662UpaVRsT8Nq9mEIbE7W7Zs+dnyVGFR2PamsS/Ogy4tLfTY+iWDvfsw0FWFyqVgF1rsKjWbN2+mtsGEoihYtRpKjuVScuutGLZtp7VrF0y33EJpVRVUViJUKgqNVWwu3IzFYuGbhfOxt9po9fD+VXVVZimCgqLffK9+C7WHJ/kH9wNQUlGJ9U/+b+tie/9caGT9dHyyjjq2P2P9nNMkUAhhAP4FjDvTy2fYpvzE9tM3Ksp7wHsAKSkpSmpq6m8L9AK1efNmLrZrvpDI+unYLrb6WVOUQYkmj65KDblBIfguWENLr04MvO9ebJYm3l/4Fp1SBnLJjGt/UXmKovBJxj5MdVUYBg1Es2sni9Y/Sd6YOdRFeeNosxPXpSupqamUhQRSvGk1LTo3grdswdXSgv9ttxE4+x6EWs369+eSn76XS+97BGOgJynefdm0cSPVRzIJiIrhkmuu/9UTvJxrzoIjHFzzLQDJ/fqR0G/QeY7o7LrY3j8XGlk/HZ+so47tz1g/5/pTtBMQCxwSQhQBEUC6ECKE9ha+yB/sGwEc/4ntkiRJ0m/UZLJidbMQ5rJS2+yFs64O5ZpLEEKwZ9li2mxWhl59/S8uTwhB38mXUV9eSvPokTiqq6l48kkc1dVE3/BXRJsL78D2GTZ9gkMBsAUFAhD+xusE3XcvQq2mOOMgh9atwmo28eW/H8HjsAWAhryjNBwvY9D0GR0+AQQIiIw6+dggu4NKkiRJHcw5/SRVFCVTUZQgRVFiFEWJoT3B66MoSiXwDXDjiVlCBwImRVEqgDXAOCGErxDCl/ZWxDXnMm5JkqQ/mxZLKza3ZnydTjS5DnBzo+eYG2iqr+Xg6m/pOjSVgKiYX1Vm0qChePj6kV2ciy4hAdOSr1D7+KCktE/i4hUUBICHjy8anQ7V+LHEfbscr3HtnUPsrTbWvT8Hn5BQbvnvewR3SmDlGy+z+u3/UrE/jYDIaBL6D/5D78PZ4h/xfRIoZweVJEmSOpqzvUTEZ0AakCSEKBNC/OUndl8JFAB5wDzgrwCKotQDTwN7T/w9dWKbJEmS9Bu1WhxYNRZ8nS68spswpPRFbfRg15LPcblcDL7qul9dplrjRu/xl1CccQAxfRoAPjOuxmJqn3zGOzAYaG819AkOpcnWglvY92v9pS35HFNVJWNvvRuvgECufOwZBky7muwtG7E11jPwAmkFhO9nCAXQy9lBJUmSpA7mrI4JVBTlmp95PeYHjxXgbz+y3wJgwR8anCRJ0kXM3qJg87XgZVbQlLdgvGEEDZXHObxpHT3HTMA76Jcvjv5DPcdMYNdXX3DMaqLfo4/iPfVSijetBcArMOjkfj7BITRUfN+zv7qogH3Lv6L7yLFEde8JtCeVQ2fcQGzvFLau+IbEAUN+xxWfW3qjJx4+vrSYTbgbPM53OJIkSZJ0igvjJ1VJkiTpD+N0ulBaBTZNM0pZ+3IPxhEj2PnlIlQaDQMvn/Gby9Z7etF1+Mj29fwuvQS1pyemmmp0Hh6nLC3hHRxKY1UFisuFy+Vk7btvovf0Yvj1t5xWZnhSF0L7DLhgWgG/4x8Zjd7T64KLW5IkSfrzk59MkiRJF5nvFopv1ViwVegxh3pgEgpHdmyhz8RL8fDx/V3l95k4FafdTsa6VQCYqytPTgrzHd+QUJx2O5aGeg6sWk5VQS4jZ96G3uj5u87dkfSZOIV+l04/32FIkiRJ0mlkEiidxmF30t47V5KkP6Pjx9rH6CnqalyVUJYSwo4vPkbn4UG/Kb8/afGPiCQmuS8H167AYbdjqqk+pSsotLcEApQcPsT2Lz4mrk8/kgYN+93n7kg69R1AyiXTzncYkiRJknQamQRKp1AUhUWP72LDwhyZCErSBUZxKdjbnD+9j6KQvrYYm9GMp+MIwgm1Md4UpO8ledxk3I3Gnzz+l+o7+TKaGxtY9M97MVVX4h0UfMrrviHtSeDGD95BCBWj/3InQpxpWVhJkiRJkv5oMgmUTuFoc2FpaOXo7kr2flt4vsORJOlX2PNtIR8/mobV0vaj+5TlNFBbaqEgej9RZgcAzW5uAIR0SvzDYonp2ZvJ9zyI4nLhtNvxC4845XVP/0BUajVtVitDZ9yAV0DQj5QkSZIkSdIf7azODipdeL778mj01bF3RRHeQQaSBvy2WQIlSTq3yo7UYzW3sXNxHqNndj3jPulri/Hw1nLMdze9jrgANa2KQEt7N84/UuchI0gaNIyqgjwCY2JPeU2lVuMfHolGqyN5/OQ/9LySJEmSJP00mQRKp/huwojo8Xrq093Z+FEOnn46whJ+30QRkiSdXU6Hi5oSCzqDhiO7KkkaGEJEZ79T9qkrt1B2pIFBl3fi7coGAsygCHBaFdRubr95WYifIlQqQuLP3MJ4+T+fwk3njkql/sPPK0mSJEnSj5PdQaVTWE8kgc9m/psXfe5G8Wxj5TuZNFa1nOfIJEn6KXXlFpwOF0OvTMArUM/mT4/isJ86PrD4cB0AnfoF0KLY8GkCm5cOVW0rfqHhqNTnNhkz+vqhMxjO6TklSZIkSZJJoPT/NDSaARgQl0JkQDgbu3+IQLDx45zzHJkkXRzsrU7WvH+YmpKmX3VcVWH7ezcswYfUa5IwVVvZv7r4lH3KjtTjF+aB3d0KgEeTwBpkRFPTil9E1B9zAZIkSZIkdXgyCZRO0WAyAeCjT6Q2L5yjzkxiR3lSkWeistB0nqOTpD+/goM15O2rZu38rJ+d6fOHqorM6D3dUPZsJrKrH4n9g0lfXUx9RTPQvvTL8TwTwYlG/r3z3wC4W9SEx/RG3dj2h48HlCRJkiSp45JJoHQKk6kZFy4+2l7MPMv/ACgMPYDOoOHgutLzHJ0k/fnl7qtCq9fQWNVC2pK8X3xcVaGZ4Bgv7FUVAAy5IgE3nZrNi46guBQq80047S4Wmd9jR/kObm3Q4WYRtPh4ARAQEX1WrkeSJEmSpI5HJoHSKZrMVlo1LUw3phNabmdQhYNNFRvoNiyMggPVmGqs5ztESfpTsbc5Oby1HKfdha3ZTmlWPV2HhtFrdCSZW8opyar72TJszXYaq1ooNeRyrVhATl0OBi8tg6fHU5FnIietgtIjDaBSOKDZwT0DZ3NVjQnhhCadFgA/2RIoSZIkSRcNmQRKp7CYW7FpmrnakkbZdj+u22Yno+YQfPIQQiXYsTgXc61MBCXpj5KfXs2WT4+yY0keBQdqcLkUvLvCgKmx+IZ6sOGjHGzN9p8so6a4ffzgeutyKoSJmatnsq1sG10GhRIa783OJXkUHqzB7FNFbEA0ET6heFkaAWjCiUqtwSc49KxfqyRJkiRJHYNMAqVT2CxObG7NBBe3ojgFQbUCRUCGbzl9xkdTmFHLx4+msey/B8jdW3Xa7IOSJP061UXtCVzm5jL2LC9A5ye4Zvc03sx4g7E3d8VmsbPl06MoivKjZVQVtY/XLdTl8E/XBKK9orl7490szltM6nWdsbc6aahs4ajhABNiJuBTcQRniwDAZGvBNzQMtUauGCRJkiRJFwuZBEqncFnBobZQV+FNRkQgJWpfwlpcLOzfwvawrxn1cBT9p8Riqraydn4WCx/ewbYvj1F33HK+Q5ekC1J1sZmQOG+CY71oNrWRH3AABCzMWkipLpd+l8SSt7+a3L1VZzy+saqFjE1lWLxrCfULYgxd+GDCBwwMG8hTaU/xScV8+oxvn/mzzOcIScXV9Fn2FDXN3gA0NNTjL2cGlSRJkqSLikwCpVOIVjUqVRPNx90o8/Ok0sfIa3n19KzQ8En2J1y1eRovux7Cec0xht4WRWQXPw5vLefzp/bw7dxDFBys4eiuCjI2ldFUbzvflyNJHZrT4aK21EJIJ2/GzeqGZyJsMn7NAykP4Kv35V/b/0XnkYGExHmz9fNjp72nLA2tfPP6QRwuJ8tj3+HKoIF4NK7Bw+lkzqg5TE+YzrzMeXzlNY8Dg5ai87UxfP9L7HB24cumEdjVakx1NXJmUEmSJEm6yMj+P+eYoii0mNtQa1S4e7id73BOoSgKmjYtvjTRItxACCw6LeG1Ck8UKWgeXMPqwtWsKlzFq+mvAK/QJ7wP4/pOJKKkB3lb6ynO/H4Si+1fHiO2VyAjb+jc4a5VkjqC+uPNOB0uLIE1GHxjWBY/F3+HF9d2uRabm425aXN59cArzL75AT5/Zi8bP8rh0nuSEar2rpwbP8rG1mLn+MhdWM0mLktfgsFUAG8NRDP5VZ4Y9AQRnhG8nv46ADNqdFTgxz98budG6yoavDxBUQiK6XQ+b4MkSZIkSeeYTALPoe3/yyVrazkOuwu1m4rxt3YntmfA+Q7rJHurE7WiJri+GZOnDgCbVkODyYBPdD3vr8ph3fEQpnR7itu62Mlt3s6qwlW8kPEsKgSDRg9htOESxnRORQhBzs4K0tcW4xOsZ9C0+PN8db+foijUllkIiDAihDjf4UgXKJvFTmWhiZgeAVQVtS/wnqVJZ86y5ygyF/FQn2f4+2eZ9EmO5aZuN7EwayGjokYx9Ip4Ni86yuGt5fRIjWifDTSngeBUFW82LuKWwP545y+mxXsiBl0xfHY1otvlzJr4IqEeoby7521ua9rBmujRjBiUw+hdUOje3iU0JD7xfN4SSZIkSZLOMdkd9BwKjDTSbXg4w65OwD/Mg1XvZLZPDe90nbMYWsxtpH2dh+MMi1DbLO0zEAZVNWBU0FYAACAASURBVFMV4XVye5YlHE8fE3dnTOfx+n+TuOl2mhfeS9TSb3m0xMC76j5cW+KioCiNp4of5tX8F/AIdGPQtE7E9w0ic3P5ybIvZAfWlvDls3s5tEGulyj9dls+P8qKuRlU5DVSXWxGrYcPjr2DSqh4oNfzfLK0lWlH7mPv0p3M6n4n8T7xPLHjCcL7eRDZxZfdywtobbGTvf04QgXv2/9DpEcsM9I3c0SdyNCyaUw7MpM1QbNwZi/H/noKKWWV3J/RhN6h5WjfGIQAdW01JqMeT/9AjL5+5/u2SJIkSZJ0Dp21JFAIsUAIUS2EOPyDbU8LITKEEAeFEGuFEGEntqcKIUwnth8UQjz+g2MmCCGOCiHyhBAPn614z4WkgaEMvTKBjOAtLO3yBn6ddGz59CgL7t/GmnmHObq78mengv+9tn95jPQ1JZRk1Z/2msXcPt7Io7kZs94dg7cPAK1tKka2vcpWj7FE+tbQ1beYYV5V9FUdI6J2B51z1/OAo4w11YVcVQ1L85Yy68XB5FwxlZSJMdhbnRzaeGEnTkWZtaQtzUetUbF/VTFtVsf5Dkm6ANWUNJG3rxqAXcsKqC5qwuJTg4fWg/8O/ZjXv4YXXS8xRn2A19veZNXij3l26LPU2+p5fs/zDJ4eT2uLg73fFpGTVkFLeDVVlNOvIIhQRy1ve0yiv7kEJ2r+VT+BcbbnSG8NJXjjfYzQHuRYUTQTH0mj59f52KuraXBTEypbASVJkiTponM2u4MuBOYAH/1g28uKojwGIIS4B3gcuOPEa9sURbnkhwUIIdTAXGAsUAbsFUJ8oyhK9lmM+6zavGwOL5vmoSgKRSH/4JHkZzGUB1F0uI68/dUIAaHxPsT0DKDbsDC07r+viiwNrRQfrqXzwFAqC03knvgCWnasgbjegafsW9fYAIDG3kxbq5rEof3J3rIe1E7amt3octOzrNzyOEKjcEXAVDROJ22tbeRWmcndth1dlI1HArbg3xbNu2E2/jmwmPf9WokKdZKxqYzksVHo9B23B7LT6aLN6kBv1J6yvb6imbXzs/ALN2Dpl4ft6zAOrC9hwJS48xSpdKHatSwfnUFD8phIdn9TCEBuVCbdQ3rw6a5S7nfNp5fIZUn/kXQ9mM/03EcoiniT23vdztyDcxkVNYq4cNXJH1U2Rn5FF90AHmheSqZfHPoJdh73DcD/5psBMFntFNZcwYH9C/Hf/h6GAzYMtOK7MINWjZrmNhshCUnn7X5IkiRJknR+nLVv5IqibBVCxPy/beYfPPUAfnzhq3b9gTxFUQoAhBCfA1OBCzIJrLXW8kTDJ4RqjDxdUs2zcf48UnYXIR4hDJ46mN5iML6VkVRkW9i5JI+sbeWMvaUbikvheF4jcb0C8Qk2/KpzbvrkCCVZdWRsKkNxKai8nJQphRiy1Qzn1BaA+ob26nEpzWD3JCg2joqMACyNTbyY/QUts95jWG0tAJWknzzOC+gLkAcHvTpx+5h8Qg+F80wPuHHVjTzjfzklFbFkbiolZVLs77mFZ01jdQtr5h3GXGPl+mcGnUwEbc12Vr6VgcZNxaauH5FWuY1bYh7j4Ho13YaGYfR1P8+RSxeK8mMNlGTVM+jyTvQaGUn29gqa6m2U6/OZZOhC961/Y7j6AJu79CEnsT8ZYV254psNdNl8F9dPeYst/t15cu0/eDk9HlXYXbTqmqn1L+FvRyrRuFxs7NYXALeQkJPn9Na7kRzlhxLxd4oWpaHYs4hauBClrY2sjz8AU5VsCZQkSZKki5D4qQWIf3fh7Ungt4qidP/BtmeBGwETMFJRlBohRCqwhPbWvuPAA4qiZAkhrgAmKIoy68SxNwADFEW560fOdxtwG0BwcHDfzz///Gxd2m+yoGYBhy2H+Ph4BZFtKjQqG4v1wWz2i+CwtgmrYkUgiNJGkWwdTFhmCor1+zxdrYOYkQK1DmpzFBxW0LiDWifQuINDseHh447OCzQ6QXOVQtEmBe9oaK4GhxW2dv4MXYuRASVTSLpMoHH/foKTwxlViOxAOh/8Fwej/UmcOoPaA3uw5h0lNb8SgMwHLyNU3xPUapwuBw3HS6kvzqe1sQE/tZbYPekoiTr6d85lUfB0XvbYzfW1vQhpvgVrLSRMEajdOtakKs1VCiXb298HLjsEdhcEdRcoLoXiLQrNNQoHk5exW7eZSG0kFlMbV2U8jEol8O8sCOgMKs3PX5PFYsFoNJ7ty5F+o7NZP4qiULhewd4CPuNrOdR6kJTGUZTutfNV7+dZVZaF0+XGruDJHE2Mo3dRCDnd7IiyCLplPkN/1RE2Jt7Mg22b8LdpGa+6hQ22tYRrBfMr15O5uyeawlpaIkIgLhFVSzOiyYLKYkHV1ITKYkG4XFgmT6J5yhQAyndvp/LAbpL/cjdqN+3PXMH5J98/HZusn45N1k/HJ+uoY7uQ62fkyJH7FUVJ+f/bz3nfPEVR/gX8SwjxCHAX8ASQDkQrimIRQkwClgIJwJm+Wf9o1qooynvAewApKSlKamrqHxz975PUlMDB9yYRUObOppIBFMYHMc17LTe27KNcH8/OLjMoDfHiQO0evrV/iabbMgbUT6B3p26MTx7JxvePUbbVicul4Ghz4uYDok5Da8t349N01KDg5q5mxIxEMgrK8PBtJfY6FX38+vLptq/IrtpFuOgMQExgN+L7Bp2ML/fYKloVJ83u7UNFx102jXSdhp0lBTgddqKefx7zwEC8c9s4mradokP7cdrtGP0DCI6Noyw7k4rESHqWmilJCOS68q/4NCyKw/YjzLwhhcUv7sPXFUef1Ohzfet/0v+e34vR287Ue3uz7YtcKvNNTLttMLuXFtBcVUpN/wx2qTdxc9KD7Mjwp9zwKHVT9tKvZDIFB2rQK35M+mtP1OqfHmK7efNmOtq/Sel7Z7N+CjNqya7LYPi1iTxnnsfhxsOUBJZQMKiAUU4Vbei5T/McN697n1Fv7kQo0Ld/Z3q99xkvasOw77ub0cc+4MWaCF7sovCR51z0BgNz8ivJqY9EU1hL6cAIDA02Ag8dQuPjg9rfH3VkBBpfP9R+fjhNJuIeuI+CQ+nE9e7HN9vXExgVw+ix487KNf/R5PunY5P107HJ+un4ZB11bH/G+jmfA7Q+BVYAT/ywm6iiKCuFEG8JIQJobxn84SrGEbS3FF6QQo+sIrSpiE2ZPUisPUxiPhR5hbKtczKDYg5zZfpL5LrCsRtnYCxJpNq7lJzEDLZavmLR/re5eertuK+KplFXxed+b2DS1+Cl9WJMxFhGBY3FkmWje1Iy+1cVsX5hDgBHkjfyyqZlJPgmUN1STYwzmKnOPVhUt5CXffyUJNBitqJzqbB46fEKDEJn8CAgIgoAzdVXkWk1s+/+he2Jn58/vcZOImnQUELjkxAqFebaGt6/6xaatQ5eKr+KlyLmM8pm5rMgDzzCVUR29ePg+hJ6pEbgplOflzr4/+ormqkubmLIFfF4+evpPS6Kr/+Tzqq3MyjNaaC5cxlL1Au4LPoO5q0Iwm5vxbtTMl/VfM6lYcFEdR3H5kVH2frZMVKvS5JLR0incbkUdi3NxztQz7GgPRwuPMz0hOmsKFiBzWljXGU1H7RN5hpnKQE5NZhumUi8TxeqX3uNsr/+ldn/fYNpuU/wRMvzjAtMJ2l3BF/Nvo2KbVvp5DpCWn4wOj87Y95Zjsr9zN2TFUWh8MA+PnzoHppqa/Dw8aXNaqXL0NRzezMkSZIkSeoQzmkSKIRIUBQl98TTS4EjJ7aHAFWKoihCiP60z1paBzQCCUKIWKAcmAFcey5j/iM5WkzsaurO/7F339FRlekDx793epJJMkkmvYd0QiCB0BJ67x0ULKi4itjL2hUV24q6llVWBbuooCDSe4ckEAKBkN7LTPqkZ9r9/RFll5+oqCDs7v2ck8PJnVve9745c+7De9/nkXe1kzk0Cb2HF07pGSSmnYbmaPJSpuNu3crD7a9S6+6Ks9COusDCW06JHFS280rH8zhGOtJubUfT0genmlGERNawrXwr3xZ9g1amZULzBAbPTkZz3JljOac46LCJqVHTOFmdSUtXC48YmoigjVXORTjknD/8ltYunCx2WjRqvIJCAPAI7A4CT8sslK37ishBQ0gYPxn/yBgE2fkzXy56T4LielNlyWBGRRZ/8b2PByzL+VTuxOGqw/Sb2J91yzM4c6CSPqOD/pR7/mtyjxoQZAKR/bvXUTnlHcEnzJPys41Y/Ux8pnuVYZ7z+Xp7IEtd1jGrcw1vV4zh6wCBJVV/552BifQdH8zxraV4BTvTc4j/Fe6R5GqTn26koaqNlBtDuSvzYRK9EpkUO5k5kXPY/M1tJHYYeFKdwpBt/8ApJYWKmyei149GoddT/fjjiPfcxUuPvsC1H97DV7bn6N2jgIjUCm5tOkiVdRBuhaXsmRJD6d9fYtzt9+CkcwNAtNupys+lIP0IBelHaDJU4xEQxPg77uPE1o0Yi/Lxj469wndHIpFIJBLJlXDZgkBBEFYDwwG9IAgVdL/2OVEQhCjADpTyr8ygs4HFgiBYgQ7gGrF7saJVEIQ7gW2AHFgliuKZy9Xmy22z7loOF5UT5ZWFqa2F6pYmRA9HQnqPIia7EOGD9TQFBSGfNAk3lwKMW8ownW7khn5n6eUTRf0xOZtu6ElFvoY1DWtxZDPbjvXjmMc1hAwNZW/ht2ws2siavDXdFwyAZwY9T6fMgWf6L+WZlX9jlPE1yg57YB2Xi7U+hvZmM44u3euB7J0i6i4T9YKAV3B3Ahedty8yuYKy0ycJ6dOXSXc/iEz287N4scNGsSUrE6eGMpzls4nsAGeLyN7yvYwdMhb/SB0ndpQRN8wfhfLSzQZ2dVjZ90UuPYf44R/pdlHH2O0iuakGgnq64+iiYm3eWr6t+YBpA+5AxMan7i/Ry2UiZw+4sVX7DKGdBZS7eXF/41biysN4xRNu2XYLr2lvxt2vL/nHaqQgUHIem9VO2vdF6AO1bBJWYzKbeHTAo5RbK4gWvbi3Opuv7aOY6J2GU307unlzcVN2//3qZs4AmUD1o4/h/vyjLJp5L3OOPMn71leZXPseZouczjQLdX7OtFdZKC47xhdPPEDKNTdQcfY0hcdSaWtqRCZXEBQXT9LUWfQcNgq5QknMkOFU5+XiGyllBpVIJBKJ5H/R5cwOeu0FNq/8mX3fprucxIU+2wxsvoRNu2J2ZxsYX3WCM8FaBk2fTdLUWWRs+Z4jaz7HGOBO8vQpaHbswfDuNxgEAbsoYgz0wZytYmjgSQ736IkptT8rrK9Rf8CJUhdPRsTlMKXpKBXf6XFzGsHL8z/i5IM3UxVqwd1DpOfnj9AiOvCAy+1MaN5NbZ4Oe6uMAUVnqXWdTlluHdFJfgDIOxXIzTWICtAHdQeBMrkcz+AQutrbmHTXQ78YAAJEJA1ip1pNlY+ee09vIDsulAHtzRyoPEDD5o30m5TMd6+f4OyhanoND7hk97bgmJH8dCOFJ2oYfWMsEUnev3pMZU4jbU1dpMyJYNP65Txr+gRHVCwreRy8IUQ1jMjjzXykeQKF0gVx8od8m7MZudLCrcaNhFc4c4PalS8LP2J+zzGc3luJ1WxDobq8r7q2Nnah0shRXcXlNiTdsg9W0VzXSZ8bPXgh7yvmRs6loVHPU98U8mzLQobJQFbhRr+iPFo8HEktzsFfE4dlQBdKlRrd9OkIMhlVjzzKLNurpLoM4n1m0WtQD1pW52KuNlJ57Vjk2YVMvPch9nz0Tza/tRylWkNoQj/CkwYSmtAPjdP5i9llMrk0CyiRSCQSyf8w6SnyT/RCTyX7FZ0gOBM5MAWlWsOA6XPo0bc/W995nZ27NxM1ZCiDlizGfOAQ6dUl5DcYCbVasJyIpX+/XL7lQYxnXWgwapE12qmocEc3eyadqlNMbV0LH6xlRJQMud3Oibpwqj08ibWU8VrrX7FZoKDCF0EhJ+Z0JZVDOsk6WXguCFRa1Njt9QB4Boeca/f0h55ErlKhuYisSEqNhogByRQcOUjM8TPUOwUy1rmcnV0K9n31KtM/moRvD1cytpUSm+KHXPHLyVQuVu6xaixO7Xh7ubN95RkqchvpNzEEZ/cLr5Gy2exkbC9F7ajA5FPB01mf01Pfk1dqR1Ayuhev7VjD/dmHSVGexd5jLM2qadQ+8C5jKyqojtHzfND1PK37iMGtag74ijwQ4cLJneUYikwERLtfkj5dSHNdB189n47KQc6E23rhFexy2a4l+WMsXTbSN5fgG+7Ke42v4apy5bqovzD7nUxm2r5njPw4WZVxJJUWYqkyYJw6nlO7tnFq1zZ2f7iCPmMn03fydFynTgVBRtXDD7M8EfR3LqF1bxftRak4LlmMIXUPsUNHETUohcDYOOrKy/CLjEahuvozfkokEolEIrkyLs0TuOSiNH//PdVuzrj7+qEP/FeGTH1gMNc+t5zkudeRn3qYr1ev4pSXC/kNRjTOLlR4u+Ng6MKkWkSWIpT6s1rSB4axZVF/NElJNH66FXm6ni2ez7DO5TrWtQ/h2PYYNBs7qCKQU9e/hjx+Lo1VWppUKnYlRNKmUGITC6jKMwHdiSMUNkesYjMKhRKdj++59mndPXDQOl90P+NGjMFsMWPo24vAUwZSGjtx74BVvRuxilb6TQyhtbGLnCPVl+S+drSYqc4zkaU7SM7g7cSPDCDnSDWfP3WU7/5+goNr8jl7uJrashasFhuiXWT3J2epyGmko18Zt+y6GQ+ceGvEmwhbPqTzjaV8VPIFScpSWgLupmSNhaqnnkfm7MyJBTF4FTRw7ekzvNR8PaOsJlrVIvW6CgSZQEVu4yXp04XYbXZ2rDqD1W7FZrfx7SsZFGXWXrbrSf6YU3vK6Wg2Y+9vJKM2g3sS7+HVrRX4tefyoPg1ZxVBqE6YsVRWofD1paijBd/wKOY8+QLBcX1IXfcVH9x5C4e+/gz1iOH4vfI32jMyKFt4Ew0ffYQ6KoocZffav4Ez5wLg6KojKC5eCgAlEolEIpH8Imkm8E8kJPSm4dRhBg4e9pPP5AoFA2ddQ1jf/mx99++c3rODqEFD6DN+Ml89/TCVzhrkn32HAqjydaW2Q0B+qIbDEVGkPPUEnW+/Q+g776H/y620nC2lFAvlPSPptfI45uMmOpe+guHjYqpD1XSZu8juEUBYZS7VfnG0mbqwdNoQkGMRWvHwD/jV1z5/SWBsL4Li4skrKsTbasFuULKkE57rY+Oj0x+xqNcivIKdydhWSvRg318srZB9qIqcw9UMmReJZ9CFA9GizFoQBQo9TpBRUst9c+6l96hAMneWYywycXp/JTaLvXsMZAJOOhWtDV1Ux57iO8tKpvaYyq15/ui3Pgqx2ehFBafawrDmq9B9sRZlUBB+ry7HZcIEvih6ibre/ox7LpXJhVWIzm7IveBw3QECQ1KoyGmEab/71v2s7gyTRRiKmtkV+QneEc4MOb6AY5tLCOvjeekv+B/G3GlFpbm6vs6KMuvwCtPyD8NzxHnEoe4cyMaTGRzRf0aHVU3FWQ8C7c0E/ONtTD6eND77GGNnzCEoLp6guHhqy0o4svYLjn7zJSe2fE/ixGn0/PxT5G0dqCMiyFj9Maf3bKfv5Bm4evn8eoMkEolEIpFIfnB1PTX9l6v+Ia6KGpj8s/t4hYSx4PlXKc3KJCiuD3KFAq+QHlT5dNB/yDg6s7PZV5uL1ion5Zob2Pvx+6wrKyHloXth/SbqV/yTToWc070jsFgt+N+0ANdv1lM8YyYKUaQ6KRZHBwcaTU14NheCH2RnldBusGO3W+mUdxASFv6H+5pyzY188cQDFHu54WSyMNDZxqBiB1bIVjA6eDT9JoWy+Z1T5KcZiR7k+7PnyUs1UF1oYu1Lx0iaEkriuGBksvPLMOSkV9GkqSFIrOKEHdYVrGNhz4WYB5bh3N9KT20Qbl3etBlt1Fe2Ul/ZSl1YPt8pVnJL6ETuTV5G27EFULaJdyxTaDnjxNSc/XS4OeCz9Gl0s2YhKJUAPBH+GI3aKgqv/xLVipW0CDp6+zWwv2I/9yhiOVOgxNxhvaTr9fLSDKRvKqHJ2E65fxb5HscpbJRzTfxizuw0XpUB0J/JWNzMt8uPM+bm8+teXkl2u0hDVSudkQbqOup4duBy7vk4mwc8juLdms3amOFEfZpP+/SpOAwZwsH330bl4ED0oKHnzuEZFMLU+x+jpqSII2u/4MjaL8hwciKi/2Ccq0s5mnqA0D59GTp/4ZXrqEQikUgkkv9I/7tPjldAXXkJ7v6BeAT+crF0uUJJWELSud8Txk9m24o3KFCBZsgA2lakMvb2u+k5bBRBvXqzfcWb7P3yY5wDgpn21psc2bUZe3kxXiE9yMjPZuH6DbR+/jnZR3bTZe5iypL7SFu/hlJrHtiaST/ShFjljLwrA7Nchmdw2B/uq29EFOFJAylOO4JnQwdR2lpuTdVzJsrG0sNLWTVuFfpALce3lhI5wOcngR10P0jXlLYQ0tcdBQpSvyuiNKue0TfF4urpAEBbUxeG/GYK/U7wsMnAY8pAPjvwJgc3vEOaf+d55/N08CTYJRhdtI6dZTuZ1Wzj3t0rsB/bhGNzBbuVw/i4aTwfFvwNW1w4PT/4hKaGes4ePUhDZTkNlRXUlhbTZOx+jTV4UAKxhzOYEt3BMw75dKV+hei2gKr8JkLi9X/4HoqiSNrGYo5tKsEjQEvz0Gy2mFfRaZyAxnsLRucSRLuGmpLmy7oO8Wp39LtC7LbuWnyhffS/OLP8Z2mu7cBqtnOoYzczEmbw2T4RZVcDtys+heAULNkCFW7OZBecJu3uRXS1thI7bCTKC9T58woJY9qDT2AsLiRt3dcUHEuls6UZz6AQJt3zMDL51VFzUyKRSCQSyX8OKQj8E41etARzZ8dvLigenTyMzO2b2f/5hwB4BATRc9goAJzd9cx89BlO7dzC7o/e4+vP38Pc0cGg2fOJ6D+ITx++h9Rt3zPyoYfY9U4biqNZhCb0Q+vuweonH0LbtBNL4XQEZLjXH6XS6fykMH9EvymzKEg/isnigLuqmSarjQf7PchTh59ibd5a+k0Ywdb3TlNw3Ehk0k9fZ2s0tGHpsvFJ8ztMnziS0fHD2P9lPl8tSyNlbgTBPT3Y8GYmdsFOlzoNx+9cWDKklgdidNRrrDzU7yG0Wmec0VLaXEqJqYTS5lIyjMcZ1KXmgfIS3u6aSn91Abr2YBbLbuLdzoM0qWScdnNl223Xn2uLIJOh8/FDHxRC4sSpNBmqydiyAU8XJ+LzWyEWct1yUSpknNhRhpNO/bOvr14MURRJ+76YY5tLiBnsS2lCKl9k/BNt8yC+bt3IQg8NR+276cFEqgsvbzKaq1l5TgMVOY0Ex3lQerqe3CMGYlP8rnSzqK9sBaDdpYEo1T18cqaELaFbkBtaEce9ROSsG8gM9sJB64KHfyAVZ8/Qe8zEXzynd2gPptz/KKIo0tpQj5POTQoAJRKJRCKR/C5SEPgnU2kcfvMxCpWKBS+8hrGogMJjR+nRb+B5a/YEQaD3mIlUt3fRlHEEc0cH/afNRqFSET9mAie2fo9MocCUWUBYYn+Uag1+kTFEJw0iN+0ISpuJFkc7QW0GcNLj+UN5iD/KIyAQAKtox24DJ49mpodPZ3PxZl7PeJ11U4ai83bkzP6qCwaBNSUt3f9qS3kh7XlGBh7h4b8+QdqX5ez5NAeFWg6iyOboFdx2vIzOehW987qY4aii9xlnvq204taVSbCTHT+NmeGqLjwUTrh3agkwnOLM3h4k2bOZP/IpbIKckTXZBJw9QnpEMFZEkuddj4d/IO7+Aeh8fJErlOfaZjWbKc48xhmbiF9DEz3aRNb0buZvYX6c2lzN1y+k4x+po/foIELiPBAuMNP5c0RRJHVDEce3lBKb7EvTwFxeO/wq3iTwdv1BwjoMTGjQ8x3b6WVJwlD4vxkAiqJI6ndFaN3UyMZXo29xJ31TMVEDfJArr+xsYF1lKyJ2eoSG8fKmCq7xNRBTvQ4G3UlzRhmOjZ00RauJiI1j6v2PYTWbLzqZiyAIOHv88ZlmiUQikUgk/7ukIPA/hCAI+PSIwKdHxM/uo3F145pn/oYoiudmG4dffwsAxzeuA85fjzjs5tvJSzuCtWM/ga12WpVqZErhokpBXAyNkxa1Wk27UsHJpjB6RxYjlB3lqUFPMWvDLJalLePGpAdI31RCa2MXWjf1eceXFdbQJe8gLCCJm0IieT3jdc7UX8uL814kJDucnCPV5PXaT2VjLhHZCkSgtsaVuzrryPPW8rn1PpADnT/8AK2ihhYcOZwRjWg3Y5XLWGQr4ksCuLtkJ+3NJowyPX2HjWLgzHk/2zeFSsXoRUtY89zj5Ap6Hq6p5vZgZ753+pinXnqG7ANVnNpTzuZ3TuHq5UCfUYHYreJPzmO12KgpbcG3hyuCICCKIke/KyJjaykxKb6cjdvLisPvEuWSwAMnsvE31ZG324dpIR2sma3GIhRjKPJBtIu/KdD8b1CSVY+xuBnFiFoePrSMG6PvwGFbFFvfP83IG6Jx0F65DJmGskaaHGrIrdRitVl5RvEhOPti7X07xtnzMYa6Qrsd3/DuYu1SNk+JRCKRSCR/piu/eEZyyf3766YKlYrRtyxm2oNP0HP4aEIT/7XWUOvuQWy/JOyWQlR1p6jxcsEc/PtfYbwQnac37WolKxvGU2tzQ1x9DYEdbdzZ5072V+yn2icXRCg4bvzJsRWFddRqy9h7zJcPD8p5f/THqOVqFu1cxGH9RhznG1lj+oT7c9ppN6vZER9GY6cGD5mJZPdM1muSeWP8XOyLj2G54SgdM/ZhTvmCHZ19caxq41iEH1nB3sypOMq64Foc2luo6xWDaLcTO3Tkr/YtKK43KrmCdkHJQHsjs0+r2VC4gQ3l64gb7ct1ywYx9paeLqbC9AAAIABJREFUqB0U7FudR+FWkc42y7njRbvIjlXZrFueQeqGou4AcH0hGVtLiRis52vvN3j35DuMD5nAxGwrfduLKD7sjcwi4lQjR2sVKPQowtxpo6G67ZKO29VOtIukfleIk17JSvNrOCgc+LzlPWKmulOWXc+Xz6Vxak8FbaauK9K+mopm6h2ryC93YWXP06hrsxDHLsPwwnJsJhNpM2MAzgWBEolEIpFIJH8mKQj8HxGeNJDxi+9FqTp/tm3UfY8R3bsvFR4uWC0ig+PGXdLr6gKDaVerGGrMZ5b9KdpscsTPZrEgYAS99L14teBFXF2t5KefHwRaLTY6jCK1TuX8RXYc79IqnvysmmX9P2By2GTePfkujx98nJh2GHXSRoGPO1ZBoNbZgZ01fbi38w4Ux80MW5JK7rCpFEycScm8azHedSf9vjtDerQ/oh2sgkB1QR72LRuxtbZi8PfCMygEz6CQi+qfi4srHSoFljY515daifOI49kjzzJu7TjeOfUPtDF2Zj/Sj8l39sbSDjtWZSPau2cE0zYVU3SiFs8gZ45vKWXd8gwytpXhN8CB5Q4PkmZI48mBTzKkvhc3dW0i54g/druA85gxmFuUTG3s4FBoPgDVhaZLOm5Xu/zjRuor28gO24tMLvDx+I/RKDSsUf2T2Q/3w8lVzYGv8vjokUOcOVD5p7bN3GHF3CjS4FhFkIOcPkWvQuhQmotVtGzfjufdd2G1KBBl4H0JMvFKJBKJRCKR/FbS66D/4xRKJZMee4Zko4Ez+3YRN3z0JT2/m68fuUoF/cM9GeiqZZ7pAdbZl6H6fB5LZ7zF3K0LKbBtx7N0InUVLVTkNKJQydEHaBFEGTJVGQ93fg8qsLbJOft+MAtDBzEodCZrMtfwYr2RSoM/VVFOADRoHcg0ROFtMNEjr5KiEcEMiJ+GXK9H4aGnVQ5nsk7QdmA3I2+6jX2frqTWwxWP4mKU11+H8dQRhl5380X3z9XLh2pDNR3NSvTejXw6/iPezn2XvOo83j/1Ph9kfcAQ/yHMiZyDdwKUHa9n2wensdtEik/WET3Yl6Hzw9n3WT65Rw1oenfwnPxB9IKef476kNLDZxic9ShF5f4o663svi8J30JwdtVya2UJ62M1WNWd5Kcb0bqpcfNxwtlDc8Fsq/8tbDY7aRuKUXrZ2SJbw+KoB1j+fSvTIxfyWf7bPFRzAzGjBzLDYx6ZX9VyYnsZsSl+vzkh0+9VX9U9K1unNvGI8B1KqwVLv0cwLLwPh4QEPG6+mYgXS+kIcrhgNlCJRCKRSCSSy00KAiUA6Lx9SJ674NKf18cPBGgqKuTh/v15MTSZm0/ewye1rxC57WkmZavZHpHGghMT+fqFY+dmyRx13UlY4uSn2BfehyI/f+Z2RSA7sZuA4jVElJiZDGw9mUCHmwUEgahBQ8k7vJ9hxSfx6mhGEx+P57L76TA4UJiRTtGGnTRWd88KxQwZQZ9xkynKSKcuNweVSkuZrztkCUQnD/257vy0f8EhFJ89zXZTX+bEHsK2dhGRKddyb897qWyt5Ju8b1hXsI59u/ehl2m5Ie5pCjNqcfHS4NFXxhf6V7n/i3QSvBPRjw5gW+t6kn1T6K+5ldwPljPf9j0VMk8a8zXUR2ppT2+huKUBDzcX+tUruKbKSo4uHUX+EKrymwCQK2XovB1x83HEK9iFnil+l7Ru4ZWWc7gaU20H+3utJk4fx4aDIeRU13C8xpVJrTrOupXyla2UdLd0nhn6Bns/y6WmtAXvEJc/pX0/ZgbtlLUxrjmdvVEJhL26EtFmw+/ll0AQMBTkEZMy7E9pj0QikUgkEsn/99/zZCi5Krl6d2f9bG6sI8Bi5m+z47nLYuP+bBN/L3mHOzp17BJcaQguprc2kYqITGxGFe2pPrSqmhhZ2EhHmhZ1fCfC5OlEPfA4b+/JZ9f+3cSbCpmbv4N9vXsQmTSIuOGjyT28H6W9DbnFTG6vSAoefI2u9jbkCgUBsb1IGD+ZsMQkXL262xWWmETJyQzsTz9O5usv0XPYKJzdLz7zoltQMHaZQGmznq21yYxnA4PO7uaMcy8cewxiSe8RLJ56I3uNaby19Vle0/4VzQAHOmXtAHi3eTMvah7HjMc42Z7JhICFNJzwYFDLDcTIyqmNuY5dxjr6NpwmNyQENwc3XIK8MJzMJKcpgNvIZ0L49+QF7SVFN44I4vA0B2CpF6gpaabgWA0Z20oZMCWUuGEBl2xcc1MN5KUa6DsxBL9w3S/ua6rtwEWv+c0zcaIoIoqcN6tptdhI31SCWW8iT5tBYvNSjhpaiYypghwbN5hb8alu4dOJk/mgfhclPbKQKdTkpRn+tCDQWN5El7yDRAppUmspr9DjffgIPkuXogoKor6iDHNHOz7SekCJRCKRSCRXiBQESi4rnbcvAG2q7pk9hVzGG9ckcOsnNl4qauQRj9UsrHDgHz3+zgEnX6p/KMTuEeeHwiZj6sfOqK0teGY1Uvr5fGROTszq14/BPXrSuiODHH89FlEkadps3P38EQSBBq0D8uAgzpw+QeSAZKKThxEc3weVg+NP2heW2J/dH/6TzW8uR6nRMHTBTb+pfz8Gk/quem53XsJkZRKTVEeIai0j9OQROPkaAnJSPGKIrlOzcfi9pDaV4GNpJqihkelT30Bz5DAZ4bfw1jvf4OJ6mmXKFxAddNhnfoVjo45eb91BTqQXFouZqQ88TmXOGcrPZFFY5417vZW/q0pZpfNjT9cGvrV8DoC/rz8DEgeQohxD635H9q3OwzvMFc/AP574x27vTmDT2thFWXYDYQmeDJreA533T+9vUWYtW1ZkMeaW2AuWAfk5ol1kx4fZVOU3MeH2XucCuNP7Kmlr6mJr7Cf00U1j1xEFfx0bTojpLUar0+hQqVFobdx58kM2B0bw+unlLNE/RP6xGpJnhSO7yELyNqsdY7EJvwi3i27zjyqK6mhwrGKY1UiuYyB9VubgNGQIunlzuz8/exoA3wgpCJRIJBKJRHJlSEGg5LJy0rmhUKlod1DT9NXXaKKj0Q4bxorr+nLjKisfVtRzs2I7G5W96Ghv5vlyM042kdc8TEworINWJQce60dNjDsP1I+l7egR2o+m4rxvHy06JyrcfRgwfc650hleIWE0IcfkqUcnE5h0z19/saC2q5c3+sBg6spLGXb9LTi6uP6m/rl6eQOgszST1FyK+w0OHFYMYkToU+w4lUd22m7kVekk1OQxQHaCW/eeYBo6/IQGAA69ls/jnYvwV37IE7pvSVLkYouYQLvbNVQ99SGdJ0+BuwPlbi4EhsTiFRKGuaN7FtHN0shcxSPMqdnLk7Ub8XQpYbtLIieih1CpbmJHyQ6+tXzL6tlrqHqxidLT9ZckCCw5VUdrYxexc3Q4d7lxfFsZJSfr6DnMn6RJIedKM7Q3m9n7eQ4ABcdqflMQeGR9IfnpRtSOCta9mkHyrHDcfZ04vrWEOo8SLN7t7E9L4NooGYtL70MoPcJJ33CW5t6Ce1s71/kd5FljKosUXRQ2rMXBfC2VuU0Exl5cTcWcI9Xs/TyXaff2ISD64uswNhraaK20URp0hsWdrVTvMmNTyfBdtgxBEGg3NXF4zRd4Bofi7ut/0eeVSCQSiUQiuZSkIFByWQmCgM7HDzEwBOFkHuW33Y7zhPH4PPYYKxcmce3D4/B0MfFVfhqiKKPN6owowqa6sxSn6+lSKajpH4xSocIlaRzasaOpLS2hNPUw2ZvW4xscyqDZ889dL6BnPMeLC6HGwLjF9/5iAPijhPFTKM48Tvzo354Z1cXTq7ufMivvj/XDskektDiP9t6rSY6OYuSC6zHJb2XTqSp2f/MJczs3YnHsIL/GD2+DjKSkHHY73odMAJuowaS/nfqvcujKexSlvz8+S5/G6O8Dby8nceI0ADyDQwGwK+x4dDYzNisHQ4MLxXFxJPU4xbi0DPYLfekRuZhPrct575ObSQl6g7Iz9fSbEPKb+/j/nd5fidWhg3vK72Ns6BjueuReine3cnpvBblHDfQZHYg+0JkzByoxd9gIjHWnPLsBi9mGUiWnuqCJhuo2RBH44ZXP7h8Rc4eVJmM7eWlG4ob6kzQ5lC0rstj/Zd656+8L/YaG0qnc4JLNU8YVCDYLawaMJCMwkg8UGhpXr8OyrwJ9Hxm9nWB7jwzmlFzP8W0l+EXqkCt+fTbQ8EO21cxd5b8pCDx7uBpREClyz0C9xwGn0g72PZhEH28vRFFk+3tv0dXexpwnliHIpOTMEolEIpFIrgwpCJRcdjpvHxqrqwhd9y31H3xA/bsrKDx4CK8HHuCbVxby4muOKNrs2JtFAjJFVK0mmqPCsNUbkHt7cJtsHhVnzvDt2qVU5mSfmwlz9w9k0t0PIVf86884ICaO4xvX4ertQ0zK8ItqX/zo8cSPHv+7+iZXKHFy0tKhaqErL5+GVatwdNRg3Hjk3D5KPz+GR0fTlJ+PWGNG3mXF1aGZTrOdxv434uKSixA9ibLnPsbWtAFVeA/8/vYyLhMn0tXZyfEXn8LV24ewvt01HtWOTji76GhpbOGfxes47CzQ4t+DxIIKasuDqRkeQaJ6F0Nz7+SsLob9AS0M27OVaodBdLZZ0Dgpf1dfAZqM7ZRnN5AZuJee+lj2lu/lQMUB7uhzB7OGTSN9fSlp3xef299vtIJjtm14ZydRnt2As7uGb5dn/OI1NFol0YN8GDIvgtbt25h070jO5heRVZnN5/mf0qny4omancwWdoNfAsxayanSFYxadpSazA1oesdjt9ooK1Mzo28dS73cCBqnpmB9E7s+PsuYm2IRfiV7anVxEwgipVn1NBracPNx+tl9C47X4OrpgLu/EzlHqzF4FOIhttNU7Ex1Lz0lQ7rXYmbt3k7hsVSG37AI/UWWIJFIJBKJRCK5HKQgUHLZuXr7Upx5HEGhwPOOO3CZMAHD0mcwLF2Kw3ffcVt4D3KPOuBZWUyrpxuWuBgcU49jddBwanh/Kp58COgO+qKThxIQE4d/dE9c9J4/uVZATE+c3NxJmXf9ecHhZe2f3ot2Yy0Nq1bhkJhI8CcfY61voCs3h86cXLpycujMzQVzF7p5c8nykVORVYypuorh67dhHTeetm8/Q7Ra8X/rTbQjR2IsLuDI+2+Te/gAVnMXY2+7G5nsX7OanqE9MNbU0FxUTl1sMDKZjLTIIBJtCjy/TaMuIYWmgU4sbV7HeFd/TulP4tWeTPnZBiL6ef+ufpo7rRz6pgBkItlehwmsv5t/jEjkk/y/s/zYctbr1vP47McZviCZEyVZfJnzJStatyETZdyqSqAos5bWxi40TkpmP9IXhUqOIAiIokirtZWaDiNZTSc5aDjAGlMRS9e00drZjHW1/VwbtE5u/KMkhwTBACn3YR/8IK37DjDxtX24VLXSdcetlMih6lgaYWeaGVHfzgseOo677WLc9PkcXV+ERqtkyNyIn01U09lmwWTsJMtnP71qh3BqdwXD5l94/Z6ly8b2D04jV8iITfGjo9lCZtQerqlpxdIsUJnYfa8bDVXs/fh9guJ6kzhh6u+6/xKJRCKRSCSXihQESi47nbcvNouF1sYGnD30qENDCfroQ0zrv6Pm5ZfpOHECb6Aq2I9T7k7YO5sImzeVpsoKmvJzGXnz7UQNTMHR9ZezUAJonLTcvuKTy9+pf6MLDKK+IA+ZkxMujz1CZV73Ojg83cFrMMLQZDSCQMaObZyqLsOwLQ9nvSc20Y7Rzwv19xuRu7vjuvh2SgQbJx+7n5qSQpRqDbFDRhA/ZgLeoT3Ou6ZXeCRFmceo8PEAYP6y5ez95APSz54mYf5s/LfsouOkCYcoN4Z4atgck8eitHbKTtf/riDQUGRix6oztNR3khW2C9HugzK3lEX5AveNf5CZw2fxt/SXuWnbTYQ2Kil2s+Ch8WBB7+vINeZQVXQWeboSu01EP9rKGwXLqW6rxtBmoKq1inZr+7lrBTkH0cezD84qZ2Q5hXgmDsbQUkfIiTzm1KzHrPaga9C7mI6WYHpiDLamJpReTuy6dxCWnbtxcHHFajVT6a5FVRXBUP8GthZv5TbneDpGRXFyVzmOzkr6TQy9YF9rSpoBKHbPQmXXIDsiY8DUMDTan86g1le2IoqgUMk5tacCs7qdejcDk7IaMeCOsacebCJb3n4VmULO+Dvuk14DlUgkEolEcsVd1iBQEIRVwGSgRhTFuB+2PQdMA+xADbBQFMUqofu/5d8AJgLtP2zP+OGYG4EnfjjtMlEUP76c7ZZcWjqf7gyhOYf3EzVoCM4e+u61gjOm4zJpIua6OlK//4bM3dsI6hlPYEwcqevXADD9oScJTeh3JZv/q3S+/nQpFbgve5av3nyZdlPTz+6rDwphxMLbiB89ni8ev5+azk5CW81olj7J2s9X0rW9DX1QCKNuuYOYlOGoHX+acRPAKzgUBIESLzf8wyPxDgtn9hPPseO9tzmxbxftsycTX1FD25Zt3BdVwswoH0yaXEqzdYh28Vdfh7TZumffZDKBU7srOPxNAVp3NV7XdnKo+HvuqlbzF9VOrMjI3B5OsTaBd0YsZrNQxOZDHzO5yIUEnDhukOPTsz+n3Q7iX9sLBw85L7Tcj3OpFn+tP8EuwQz0HYivky9ejj7k7q1md7GeroKzPDVAhVBfiyF1Hw7lB/CyN5JmiMJuUOL2ybOgVOI8ahS62bNxGjSQnC9ewijUcOMrb3Poq085u3MbzpVKpsaVsrNLw85ty5m7cg+drRZSNxSj0aqIG/rT5CxVxY2I2FF5eFKpzSaqZgAnD5UwYFzET/atLWsBYEz/Ng7VOfJt23f41vvRVVuIoFHTGu6N7mAN1fnlTLr7IZw9Lr78iEQikUgkEsnlcrlnAj8C3gb+fWrmFVEUnwQQBOFu4CngdmACEPHDzwDgXWCAIAjuwNNAP0AEjguCsEEUxcbL3HbJJeIZFILKwYH9n61i/2ercHTV4R0WjndYBO7+ARzfuA5jUQFxI8YwetEdyBVK4kaOxdrVdS6AvJr9mCH0RFkB7aYmxt5+Ny4e3QljRH7IegKcLShk/MzZ515DjE4exoEvPsLhrjvYv3sLCrWamY8uxTci+ldr6v2YHMZqtRA7dATQvT5x3OJ7cfP15+CXn2AKCqGnXIZXpZKJOjtHg7IYVZjA5hVZJM8Kv2BJB+guj7D62VSa6zpxdFbSZjLjGiVnT48PSSs+iqtNyy2d2eyJSgQZ9DZY6dO4BsWmr7hDULKoS4aDqotOq4K5jQdZeWgwWwONyPw6KYo4iZPoyNaZWxFEDZnlTRwraSQtM5+Iym8YKh7jTlkRcuywBzptKpTNLpTbPSnO8EVX2ERzkCtejzyM69SpKNz/lbSlOasI3/BInHRuBMcnkLV7O67NTfRqAVd3O//o34A55zNmXDuDznYL+1bnonFSEt7X67z+F+ZW0eBg4GxJGKLNiVhtMcf3WOg/Nvwn41Jb3oKotvB4+xtUeZkxdXRxU34AbTUqHBMTuV21gC/2PEhU8jCik6Xi8BKJRCKRSK4OlzUIFEVxvyAIIf9vW/O//epEd2AH3bODn4iiKAJHBUHQCYLgCwwHdoii2AAgCMIOYDyw+nK2XXLpOOncWPze59SWFWMsLMBQmI+xKJ+SzAxE0Y6DiytT7n+UyAHJ547Rul18RsYr7cdagVm7txMcn0CvEWMvuF9JY/N5QUR08jAOrP6YvRlHqSkpZMKS+/GLjLnIa3qj1Dhgt1mJHJhybrsgCAyYMRc3Xz82v/0aR6OC6Kxx4O4eZUz3z6C2V1+UufGsfi6VeY/3x933pwlP8tKMmGo6CEpyQSVqEL3aeLxpCZ4WPTdF3MKUHa9TYQjHlmunKsGL5HnLadQ68dXar1GUHyJEbqQmy5W+OWcxzXblFg7zpTWajXH/oLylnATXmUx95xBlNRYGcpoF8p0skWegEGzUtrvToh7Cai83VlaPpU7UMb4qg4WV36NoaCd3/nhGLXn8JzNqrQ31dJQa6XtNd4bXwJ7xADQ7KDlU05s31Zm8ovTjb+l/471T7zF/wHV4tvZhx4dnkCsEgnt1n08URZrKuqhxLeUBIYOp8kxedUtBLL+RyvxGAiLP/7usLm2kUlNEXYsBb9cI+lW1cL1tL5UmNxz79mXz26+idfNg1C2LL2pcJRKJRCKRSP4MgiiKv77XH7lAdxC48cfXQX/Y9jxwA2ACRoiiWCsIwkbgJVEUD/6wzy7gYbqDQI0oist+2P4k0CGK4vILXOsvwF8AvL29+3755ZeXsWdXn9bWVrRa7ZVuxkWzWcx0NtSj1rmhUGuudHN+N3NbK1mfrAAgasZ8tD5+F9zvQuOT+92XtFZV4OTlS9TM+b86A/jvinZ8j1ylIXjYmAt+Xp9zmpI9W4kva2DQmEI+8XDhXZ2GKEsvRhxbhE9f8Ig4f32aKIrkbrZSYzOwvterjHUbz4HWA9jtCoIbbuM200cktx0jf1sgdkFE0WkBwOrjQ1fveDL9e2I8nsOMk1to1yhRqhQ4jJezxq2NL93lyFEg5N3BzQ6pXCvuR28zYlY4U+0zktrWKDTrdiA3GrHLZRyfdRM5NWauPb4ei2jhSK8oOttbEWRyPKLj8ElIQu3SvU60NvskZft2EDtvIQ7u3QHd2a8/Rl1WDoI7N/fdRllbIrtGzmd7y25Od5zG2aZjdvYDqFtdkClB7W7FLVhJVZpIRtBa3jd/QZkhDNMRK3sHv4jcv4u4lH8FgXabSPY3NjJ9dnO7uJZ+ohGLKKfEFIV1axMnpoyluqyQyKlzcfYPuuhxlVzYf9r32/8aaXyubtL4XP2kMbq6/SePz4gRI46LoviTtVVXJDGMKIqPA48LgvAocCfdr3te6OlX/IXtFzrve8B7AP369ROHDx9+Sdr7n2Lv3r38r/X5aiDa7eR8/TH+0bFMvmb+z+53ofHxFGxsW/EG0+55EN/wC2eg/Dm/Ntat8b34556tWOR2Hqr9C8vt7+LS5cg6zRm65B3UWMzMGj7jvGOKTtSS3ZLFqfAdxJsVbDJtwkHuiLp4CkvFF4ikgkO5sbjZTGx9ewJyhZKFRbG07t1D267dJFu3IwKFfePIs3aQVGpEXejH7J6H+BJf/A0BfKZYipu1FYKToe/zWNv94R8rcEr/DJlWi8d992HYuZGkbz5igIMDKBTkjEzBXFLIxLsepDLnDKf37KA+J4vo5GH0nzabA6n7cPX2YfyMWecCaVllMcfrv2FwUTlnLQHEOGVwU2YBN4UOJTdsASu7yvmCF4kwJTBGPRVzroYqY/dXS4z8FBlCBIrD7ZTrXHBuPEKbMJSBScnnSmzUlrdw1p5Oh0M5Ps1W3mmYjNVXQ3hLKQGqZpoaa4kaNITJC274TeMquTDp++3qJo3P1U0an6ufNEZXt//G8bnS2UG/ADbRHQRWAIH/9lkAUPXD9uH/b/veP6d5EsmvE2Qy5jyxDFdvn998bOzQkYT0TsRJ53bJ26V198DF3YOGplZsjQLTdc/zZutbzO4o5XmHaqxVzuftL4oihzblYFLXMr7+EDfWNrBS1otj9nhe1LyDo6qTdW5DiM0t4OTcKB4a/sNkfAq433A95sZGTPv2knFgN3kVxSAIGBPj8dx9GC8XFTfZXIi2NKCRm3lr7BwWae+h9o03aTt4ELmnHu8nn6BTLiNXZkc+Zy4+W3bTVZBP4eSxlGWkMubWO4lJGU5MynAGzryGY5vWc2rHFs4e2IMgyEiYMOW8mdTgXgmkb/iGTsy8WXUd05QZ9OnvjFfRIaJyNvI34JDch2WeWbzucIjgpFDi21OoNZi4qbkYxQ4PCgM9KNG6ENBwjA7dSI7uy2b4xN7Av5LCBMoLeLl2Hn85uAGFtTuhTn5vXzpamokYMPiSj6tEIpFIJBLJH/WnB4GCIESIopj/w69TgR/y6bMBuFMQhC/pTgxjEkWxWhCEbcALgiD8+JQ8Fnj0T220RPIrfCN+2yzejwRBuCwB4I8C4npTUFvLvWIBpvj+GN7QU6n3RhldibIpEVEUzwVOFbmNNFdYqNPtZOp6Fbnu/iwYlcsMoRTa7KQVRhFzvIAWHydKg/z4+MElmDs7MHd2YunswGaxnLtur5FjUao1nNyxmWg3HeVFjtztlY1CZme9LpnIFUWUpM5FrtPh9dBDOM+exb6vPyVr93ZEsTuZTkBMHE69o8g9coCBM+cRP3r8ufNr3T0Yfv0tDJg+hxNbvyfn8AF6Dht1Xt/9omOQK1XU6nWMLMngrwMWQgE4KOeQrGtgvP0EvQsOsbqwkFfjojmhbeIgX+Lt0Y7uS28sNitFoZ7Iaruo1MlxbM/ixJ5ghk2IRxAEigursMi6iOqoo9fhbZwJCyRk2nR6xSWSnvotsqM5hPTue9nGViKRSCQSieT3utwlIlbTPYunFwShgu4Zv4mCIETRXSKilO7MoACb6S4PUUB3iYibAERRbPihrET6D/s9+2OSGIlE8ssCYuLI3r+b9sJcnJ/9K51+XngWGxjQUU1BhBPtpi6cdN3rMfduyKJdYWLm/jT2xQTj29iKV3UTSncrZfs9cLOZODk7Er3vcBQ7dqGKisU7LBylRoNS44BK3f2v1t2dyAHJ1JaVkLFlAw39E/HcuQ/BInKmI5ge35ZhV8rwvOdu3K6/gbbOdr5+aSnGonwSxk+h76RpVOZks+O9t7FazCTPu56BM+ddsH8Ozi4MnrOAwXMW/OQzpUpNeL8BFKcdZnhmNm/kfc2At19Fk3aIli0HaD18GKvFQhVuPKzOpt5bRwA1VBxyp61OYO8D/ZHtqKfflJmc3LwBWfM+lA5LKM2vJSTSi4qSWuqcKulzwI0mrUClgwLD7q3ETJmB6ZNygnr1/tkSHxKJRCKRSCRX0uXODnrtBTav/Jl9RWDJz3y2Clh1CZsmkfxP8I/uCUDIl1aGAAARf0lEQVS9So6l/2By6w0o/TzwqK9EFK0UlVTRq08YxhITzUU23Ew7OePpTadSQbneFUOGHrlMjrKjk40vD0VIb6Nq3y76TZnJ0PkLf7HwuVdIGJ5BIZRZrHjZbHxbnIJfmQlXewNbXh/DI0MXU5F9mg2vv4jNYmbag08QnjQQ6M646hkShsloOLft94gbMYbcIweodXagFy00jR+FaDaj8POla9pkTrXU01lezuAMDZrkTk6fCENl7ODUrf1oFTVogITxk3Fy1bHvs1Wous6yZb2J6xZNxGyUoVKV4VHWyoG+Meh9fGmqrmLTW69grjMRPn3A7263RCKRSCQSyeX0809wEonkP56brx+OrjqMg/qR22AkOnkY4QMGY3AWsZnPkHkyC4DNa49gFVtQNOfS5qBmwIy5WGUCtUolspZ2XBcvxv0gyHMaGbHwNoZdd/MvBoA/6jl8NDXVFXSGh5FQb8G9vg7P629kVPy1nNj6PWuWPY7GScv851/7SbDnGRTyhwJAgKBevXH20FMZ7I+trh7dNfNwfH05J0cOZlf+Kdq7OmhRyihxcsK8FRosSo4OSyBl0iME5Cnxi4rFRe9F4sRpuDppsbftxlKo5vNnD2MTbfTPTqMwxJ8Ocxdjbr2TxEnTqM7rfsO9R18pCJRIJBKJRHJ1koJAieS/mCAI+EfHUltRhtbdg9GLljBhyf1o1RrsnVnU5VVRW2WiNV+OY80a6rUaRt+6hOS51+Hsoac6wAdZeA92l+bSXm5k6n2PkjhhykVfPyZlOHKlkvKIECxlZQhqNbqbF1K/+iC7P/wnIb0TWfDCa3j4B/76yX4HmUzeHYjK7Kj+8QbHHOWs/ehdjCVFDL9hEYve/IDwpIEU+nUHipkhPjSaWvnq6YepKyshevCQ7vPI5Yy9569YZWbEzhMYZOVUObyMc52RYlcHYoaMwC8ymv7TZuPg7IJPeCRad4/L0ieJRCKRSCSSP0oKAiWS/3I/Fk4ffcti1I6OCIJA3PDR2O01yGssrPloM/bOdJpVTfQbM4n4UeMRZDJih46iRiFwJqUftWUlTHng0d+c7dLRVUfc8NEUGivpcnLEYewYvnnjZc7s3cnAWdcw/aEnUTv+tGD9pdRz2GgQRdYue4LCjDQGzpzHojffp++k6ShUKoZddwuiAKd0Gly9fVn09kqSps7CMyiEqMFDz50nqHcivnpP7O1HGHz8LebsbeB4mC+u3j6MvOk2ANSOTsx9+kUm3vXgZe2TRCKRSCQSyR9xpUtESCSSy6zXyHH49Ig4rw5h/LTZHN26EXtXA5Z8BdaOwwQGhzH05tvO7RM7dCSp676i+MQxkuddT1hC0u+6fr8pszi1axuNi2+hvMWEIfUIk+99hKhBKX+4bxdD5+1D0tRZWLq6GDBjLlo39/M/9/Fl0JwFpG/6jlmPPoOL3pOhC25i6IKbfnKuyU+9yKcP3EGWT3c5EIVayfS/Po3G6V8FZPWBwZe3QxKJRCKRSCR/kBQESiT/5RRK5U8K0Tt76FHLHOgyZ4OYiYNczozn/6+9+w+aq6rvOP7+TJ7wjJHkgRDyg0SJlMRArfxoagDbgM0UYiaWREkHFIxg+sM2LehEAZnRjiMdkBmq/BplIgQpBacDrVihiAglJQZxIgmBCAkJLZRIVFBIKWiSr3/cs5PLw919dp/k2b279/Oa2dmbc+859zznm3t2z73n3r3iDff5jT9sKu888Y/o6+9nzqIlw97/QZMmM+ukuaz73t0Qwdyzz2vbALCmaECXN2fREl4dmMDAxEkNtxs3aTJ/eeM32bbuETb/cA2/N+80xh82dX9W1czMzGzEeRBoVlED06aw49mtjKKfc75yHaMP6H/TNgsvuHC/7Os9p5/BT9Y8yKz3nszshYv3S5n7W/6H5hvpGz2aGXNO8g/Bm5mZWdfyPYFmFbVwxcX0901m5pFHMHaIK2D7asLbp7Ps6pXM/5tPNj3YMjMzM7OR4SuBZhV18OQpLL9lZdv2N27CxLbty8zMzMzq85VAMzMzMzOzCvEg0MzMzMzMrEI8CDQzMzMzM6sQDwLNzMzMzMwqxINAMzMzMzOzCvEg0MzMzMzMrEI8CDQzMzMzM6sQDwLNzMzMzMwqRBHR6TqMCEk/A/670/VoswnAzztdCavL8Sk3x6fcHJ9yc3zKzfEpP8eo3Lo5PodHxKGDE3t2EFhFkn4UEbM7XQ8r5viUm+NTbo5PuTk+5eb4lJ9jVG69GB9PBzUzMzMzM6sQDwLNzMzMzMwqxIPA3nJ9pytgDTk+5eb4lJvjU26OT7k5PuXnGJVbz8XH9wSamZmZmZlViK8EmpmZmZmZVYgHgWZmZmZmZhXiQeAIkvQ2SfdL2iTpcUnnp/Txku6VtDm9H5zSZ0n6gaTXJa0YVNb5kjamci5osM/5kp6UtEXSRbn0W1L6Rkk3SBpdJ//ylDckTcilS9JVad0GScfva/t0Wpnik1t/taSdDfL/vqTHUv6rJCmlL0n73iOpJx5hXKb4SFolaZukR9Pr2Dr5C4+zRnXrViWLz+pcbJ6X9G918rt/60x85klal+LzX5KOLMg7RtJ3JP0k7eey3LrDJd2XYvOApGn7o406qUPxuUHSDkkbB6UX7rMgf73jZ0DStyWtT3U4d1/apgxKFp8r0nGxQdK/SjqoTv56dft0rn/cKGm3pPH72kadNIz4fCS13wZJayQdkyur4fey3HZLU7mbJS3NpV8q6Vk1/u5Wt39L6/9M0hNp3T/vS9u0JCL8GqEXMAU4Pi2PBZ4Cjga+BFyU0i8CLk/LE4E/AC4FVuTKeRewERgD9AHfA2YU7G8U8DRwBHAAsB44Oq1bACi9bgU+UafOxwHTgWeACbn0BcDdKf8JwMOdbt9eik9aPxu4GdjZoM4/BE5McbgbeH9KPwp4J/AAMLvTbdtr8QFWAWc0UefC46xe3br5Vab4DNruduCjders/q0zx89TwFFp+a+BVQX5xwDvS8sHAKvZ27/9C7A0Lf8xcHOn27fb4pO2nQscD2wclF64z4L89Y6fz+bqeSjwInBAp9u4h+JzKtCXli9vEJ8h4wh8APh+p9u3A/E5CTg4Lb+f1MfT/OfKeGBrej84LdfKOyHVp9F3t0b92wzgx7nyJrarHX0lcARFxPaIWJeWXwE2AVOB04Gb0mY3AYvSNjsi4hHgN4OKOgpYGxGvRsQu4D+BxQW7fA+wJSK2RsSvgdvSvoiIuyIhG0gUnkmNiB9HxDMFq04HvpGKWAscJGlKUw1RUmWKj6RRwBXAZ+rVN7X3uIj4QYrjN3J12xQRT7baBmVWpvi0UOfC46xB3bpWGeMjaSzZIKHwSqD7t47FJ4BxaXkAeL6gvq9GxP1p+dfAOvZ+Th0N3JeW76fF47KMOhAfIuJBsgHaYIX7LMhf7/gJYKwkAQemfewqKqNblCk+EfHdlBdgLXW+v9Wr2yBnkZ2g7GrDiM+aiHgppefbsNnP/dOAeyPixVTOvcD8VPbaiNg+RH0b9W9/Dlxbq19E7Gi+JfaNB4FtImk62Vm0h4FJtf8w6X3iENk3AnMlHSJpDNlZ67cVbDcVeDb37+dSWr4eo4FzgP9o8U8YsuxuVoL4LAfuHKIjmZryFOXvaSWID8ClaSrJP0rqH6K+wz3OulJJ4gPZl6v7IuLlFv8E92/17Y/4LAPukvQc2XFxGQ2k6W4fYO/Abz3wobS8mGzAccgQ9e4abYpPI63uc7BryAY7zwOPAedHxJ4WyyitEsQn7zyyWQtFGtYt7X8+2WyJnjGM+HycvW3YbN+/3z4jCvq3mcBMSQ9JWitp/nDKHY6+du2oyiQdSHbQXRARL2cny5oXEZskXU525mEn2Qdi0Vm2ooIH/wbIdcCDEbG6pUo0V3ZX6nR8JB0GLAFOGaqqRflbqGpX6nR80vvFwE/JpnFcD1wIfKHBbod7nHWdksSn5ixgZUsVaL7srlSS+HwSWBARD0v6NHAl2cCwqL59ZFcqroqIrSl5BXCNpI8BDwL/W6cOXaeN8RlJpwGPkl2F/x3gXkmrh3EypnTKFB9Jl6S8twwnP9nA46GIKLoa3JVajY+k95ENAv+wllSwWVHfv18+I+r0b31kU0JPIbs6uFrSuyLil62W3ypfCRxh6YrA7cAtEXFHSn6hNtUovQ956Tcivh4Rx0fEXLLpApvTjbG1m33/iuzMRP4M0zRy024kfZ5svv6ncmn3pPxDfXFqWHa3Kkl8jgOOBLZIegYYk25QHpXL/4WUf1pB/p5VkvjUpp5ERLwO3Eg2haTw+Ck6znpVWeKT9nUIWVy+k0tz/9bh+Eg6FDgmIh5O6d8ETiro32quBzZHxJdz+38+Ij4YEccBl6S0X7XeIuXS5vg0UrjPFo6fc4E7Uh+5BdgGzBqq3mVXovig7EEkC4GPRGQ3jkm6MeW/q8m6nUkPTAWtaTU+kt5NdpLw9Ij4RUqu12/NycXnT+tt16BuTfdvqexvRcRvImIb8CTZoHDE+UrgCFJ2SuLrwKaIuDK36k5gKdmUmKXAt5ooa2JE7JD0duCDwIlp/vCxuW36gBmS3kF2pvRM4MNp3TKys3Xz8tM0IuK0Jv+cO4Hlkm4D5gC/GmoOdNmVJT4R8TgwObfdzoioPT3vDU+hlPSKpBPIpj18FLi6xT+7a5QlPmndlIjYnuq0iGyKz5uOn3rHWS8qU3ySJcC/R8RrtQT3b6WIz0vAgKSZEfEU8CepTrt5c//2RbJ7BpcNSp8AvJiOqYuBG5pviXJqd3yGULjPFo6f/wHmkV3BmET2kLKtjbOUW5nio2x64IXAyRHxai09IgY/hbVu3SQNACcDZzezz7JrNT6p7e8Azkn9UM0j1P9elu/fxgP/oL1Pzj2VrC8q1Er/RnYP+1nAqtTXzaRdx0+U4Ck/vfoiu9wcwAayqRKPks0HP4RsLvDm9D4+bT+Z7IzAy8Av0/K4tG418ATZVIJ5Dfa5gOwpSU8Dl+TSd6W0Wj0+Vyf/36X97iI7y7EypQu4NpXxGD3wBMoyxWfQNo2eMDWbbADyNNl9GErpi1N9XgdeAO7pdPv2UnyA76f/9xuBfwIOrJO/8DhrVLdufZUpPmndA8D8Iers/q0zx8/i1K7rU5yOKMg7LdV3U66+y9K6M1J9nyI7k9/f6fbt0vjcCmwne3jJc8DHU3rhPls4fg4DvsvePvLsTrdvj8VnC9n9aLV6fLVO/rpxBD4G3Nbpdu1gfFaSnZCqbfujXFlDfi9L252XYrEFODeX/qUUrz3p/e8L8jbq30Q2Rf6JdAyd2a52rH2BNDMzMzMzswrwPYFmZmZmZmYV4kGgmZmZmZlZhXgQaGZmZmZmViEeBJqZmZmZmVWIB4FmZmZmZmYV4kGgmZlZkyTtTj8A/Lik9ZI+JanhZ6mk6ZI+3GgbMzOzdvIg0MzMrHn/HxHHRsTvkv3w+QLg80Pkmc4bf9jezMyso/w7gWZmZk2StDMiDsz9+wjgEWACcDhwM/DWtHp5RKyRtBY4CtgG3ARcBVwGnAL0A9dGxNfa9keYmVnleRBoZmbWpMGDwJT2EjALeAXYExGvSZoB3BoRsyWdAqyIiIVp+78AJkbEFyX1Aw8BSyJiW1v/GDMzq6y+TlfAzMysyym9jwaukXQssBuYWWf7U4F3Szoj/XsAmEF2pdDMzGzEeRBoZmY2TGk66G5gB9m9gS8Ax5Ddc/9avWzA30bEPW2ppJmZ2SB+MIyZmdkwSDoU+CpwTWT3VgwA2yNiD3AOMCpt+gowNpf1HuATkkancmZKeitmZmZt4iuBZmZmzXuLpEfJpn7uInsQzJVp3XXA7ZKWAPcD/5fSNwC7JK0HVgFfIXti6DpJAn4GLGrXH2BmZuYHw5iZmZmZmVWIp4OamZmZmZlViAeBZmZmZmZmFeJBoJmZmZmZWYV4EGhmZmZmZlYhHgSamZmZmZlViAeBZmZmZmZmFeJBoJmZmZmZWYX8FtCNlrJg+rB6AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1080x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "df2['Date'] = pd.to_datetime(df2['Date'])\n",
    "df2[\"Date\"] = df2[\"Date\"].apply(mdates.date2num)\n",
    "ohlc= df2[['Date', 'Price', 'High', 'Low','Open']].copy()\n",
    "            \n",
    "f1, ax = plt.subplots(figsize = (15,4))\n",
    "candlestick_ohlc(ax, ohlc.values, width=.5, colorup='#db3f3f', colordown='#77d879')\n",
    "ax.xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m-%d'))\n",
    "plt.plot(df2['Date'], df2['Price'], label = 'Price Level')\n",
    "plt.plot(df2['Date'], df2['PP'], label = 'Pivot Point')\n",
    "plt.plot(df2['Date'], df2['R1'], label = 'Resistance One')\n",
    "plt.plot(df2['Date'], df2['S1'], label = 'Support One')\n",
    "plt.plot(df2['Date'], df2['R2'], label = 'Resistance Two')\n",
    "plt.plot(df2['Date'], df2['S2'], label = 'Support Two')\n",
    "plt.legend(loc=2, prop={'size': 10})\n",
    "plt.grid(True)\n",
    "plt.xlabel('Date')\n",
    "plt.ylabel('Price')"
   ]
  }
 ],
 "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": "3.7.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}