PMS-Probability.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Satistics : Probability Distribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import collections\n",
    "sns.set()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>no.</th>\n",
       "      <th>f</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th>z</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0.720482</td>\n",
       "      <td>0.737451</td>\n",
       "      <td>4.10</td>\n",
       "      <td>0.8695</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>0.812391</td>\n",
       "      <td>0.884248</td>\n",
       "      <td>3.65</td>\n",
       "      <td>0.5750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>0.813530</td>\n",
       "      <td>0.863871</td>\n",
       "      <td>3.55</td>\n",
       "      <td>0.5125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>0.532572</td>\n",
       "      <td>0.872902</td>\n",
       "      <td>3.85</td>\n",
       "      <td>0.6520</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>0.697305</td>\n",
       "      <td>0.891665</td>\n",
       "      <td>4.70</td>\n",
       "      <td>0.5400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>0.733407</td>\n",
       "      <td>0.880975</td>\n",
       "      <td>0.70</td>\n",
       "      <td>0.7745</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>0.654187</td>\n",
       "      <td>0.733362</td>\n",
       "      <td>2.25</td>\n",
       "      <td>0.7130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>0.709219</td>\n",
       "      <td>0.839979</td>\n",
       "      <td>-1.10</td>\n",
       "      <td>0.9320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>0.750032</td>\n",
       "      <td>0.917038</td>\n",
       "      <td>-1.25</td>\n",
       "      <td>0.7335</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>0.713197</td>\n",
       "      <td>0.915913</td>\n",
       "      <td>0.90</td>\n",
       "      <td>0.7345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>0.521182</td>\n",
       "      <td>0.885547</td>\n",
       "      <td>-0.15</td>\n",
       "      <td>0.7685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>0.824820</td>\n",
       "      <td>0.884369</td>\n",
       "      <td>0.60</td>\n",
       "      <td>0.7090</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>13</td>\n",
       "      <td>0.770785</td>\n",
       "      <td>0.873444</td>\n",
       "      <td>1.25</td>\n",
       "      <td>0.4890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>14</td>\n",
       "      <td>0.772823</td>\n",
       "      <td>0.726831</td>\n",
       "      <td>3.40</td>\n",
       "      <td>0.5375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>0.600803</td>\n",
       "      <td>0.638667</td>\n",
       "      <td>1.80</td>\n",
       "      <td>0.8985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16</td>\n",
       "      <td>0.792857</td>\n",
       "      <td>0.753639</td>\n",
       "      <td>1.10</td>\n",
       "      <td>0.5705</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17</td>\n",
       "      <td>0.800259</td>\n",
       "      <td>0.819985</td>\n",
       "      <td>0.80</td>\n",
       "      <td>0.4965</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18</td>\n",
       "      <td>0.537606</td>\n",
       "      <td>0.847556</td>\n",
       "      <td>-0.25</td>\n",
       "      <td>0.8340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>19</td>\n",
       "      <td>0.575679</td>\n",
       "      <td>0.884614</td>\n",
       "      <td>2.85</td>\n",
       "      <td>0.7870</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20</td>\n",
       "      <td>0.821320</td>\n",
       "      <td>0.863913</td>\n",
       "      <td>0.75</td>\n",
       "      <td>0.6245</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>21</td>\n",
       "      <td>0.325209</td>\n",
       "      <td>0.757005</td>\n",
       "      <td>-0.20</td>\n",
       "      <td>0.7630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>22</td>\n",
       "      <td>0.790763</td>\n",
       "      <td>0.899136</td>\n",
       "      <td>5.30</td>\n",
       "      <td>0.4470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>23</td>\n",
       "      <td>0.803798</td>\n",
       "      <td>0.897501</td>\n",
       "      <td>3.45</td>\n",
       "      <td>0.3915</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>24</td>\n",
       "      <td>0.785717</td>\n",
       "      <td>0.895834</td>\n",
       "      <td>4.40</td>\n",
       "      <td>0.4190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>25</td>\n",
       "      <td>0.754932</td>\n",
       "      <td>0.808529</td>\n",
       "      <td>3.80</td>\n",
       "      <td>0.5265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>26</td>\n",
       "      <td>0.793982</td>\n",
       "      <td>0.892413</td>\n",
       "      <td>5.10</td>\n",
       "      <td>0.4350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>27</td>\n",
       "      <td>0.789723</td>\n",
       "      <td>0.881186</td>\n",
       "      <td>3.40</td>\n",
       "      <td>0.4320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>28</td>\n",
       "      <td>0.797951</td>\n",
       "      <td>0.936163</td>\n",
       "      <td>3.20</td>\n",
       "      <td>0.5280</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>29</td>\n",
       "      <td>0.796906</td>\n",
       "      <td>0.934264</td>\n",
       "      <td>2.80</td>\n",
       "      <td>0.4445</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>30</td>\n",
       "      <td>0.800149</td>\n",
       "      <td>0.941757</td>\n",
       "      <td>3.00</td>\n",
       "      <td>0.4490</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "    no.         f         x     y       z\n",
       "0     1  0.720482  0.737451  4.10  0.8695\n",
       "1     2  0.812391  0.884248  3.65  0.5750\n",
       "2     3  0.813530  0.863871  3.55  0.5125\n",
       "3     4  0.532572  0.872902  3.85  0.6520\n",
       "4     5  0.697305  0.891665  4.70  0.5400\n",
       "5     6  0.733407  0.880975  0.70  0.7745\n",
       "6     7  0.654187  0.733362  2.25  0.7130\n",
       "7     8  0.709219  0.839979 -1.10  0.9320\n",
       "8     9  0.750032  0.917038 -1.25  0.7335\n",
       "9    10  0.713197  0.915913  0.90  0.7345\n",
       "10   11  0.521182  0.885547 -0.15  0.7685\n",
       "11   12  0.824820  0.884369  0.60  0.7090\n",
       "12   13  0.770785  0.873444  1.25  0.4890\n",
       "13   14  0.772823  0.726831  3.40  0.5375\n",
       "14   15  0.600803  0.638667  1.80  0.8985\n",
       "15   16  0.792857  0.753639  1.10  0.5705\n",
       "16   17  0.800259  0.819985  0.80  0.4965\n",
       "17   18  0.537606  0.847556 -0.25  0.8340\n",
       "18   19  0.575679  0.884614  2.85  0.7870\n",
       "19   20  0.821320  0.863913  0.75  0.6245\n",
       "20   21  0.325209  0.757005 -0.20  0.7630\n",
       "21   22  0.790763  0.899136  5.30  0.4470\n",
       "22   23  0.803798  0.897501  3.45  0.3915\n",
       "23   24  0.785717  0.895834  4.40  0.4190\n",
       "24   25  0.754932  0.808529  3.80  0.5265\n",
       "25   26  0.793982  0.892413  5.10  0.4350\n",
       "26   27  0.789723  0.881186  3.40  0.4320\n",
       "27   28  0.797951  0.936163  3.20  0.5280\n",
       "28   29  0.796906  0.934264  2.80  0.4445\n",
       "29   30  0.800149  0.941757  3.00  0.4490"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_excel('data/data1.xlsx')\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>no.</th>\n",
       "      <th>f</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th>z</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>30.000000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>30.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>15.500000</td>\n",
       "      <td>0.719786</td>\n",
       "      <td>0.851992</td>\n",
       "      <td>2.258333</td>\n",
       "      <td>0.619567</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>8.803408</td>\n",
       "      <td>0.118450</td>\n",
       "      <td>0.073565</td>\n",
       "      <td>1.871800</td>\n",
       "      <td>0.161012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.325209</td>\n",
       "      <td>0.638667</td>\n",
       "      <td>-1.250000</td>\n",
       "      <td>0.391500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>8.250000</td>\n",
       "      <td>0.700283</td>\n",
       "      <td>0.824983</td>\n",
       "      <td>0.762500</td>\n",
       "      <td>0.490875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>15.500000</td>\n",
       "      <td>0.771804</td>\n",
       "      <td>0.881080</td>\n",
       "      <td>2.825000</td>\n",
       "      <td>0.572750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>22.750000</td>\n",
       "      <td>0.797690</td>\n",
       "      <td>0.894979</td>\n",
       "      <td>3.625000</td>\n",
       "      <td>0.755875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>30.000000</td>\n",
       "      <td>0.824820</td>\n",
       "      <td>0.941757</td>\n",
       "      <td>5.300000</td>\n",
       "      <td>0.932000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             no.          f          x          y          z\n",
       "count  30.000000  30.000000  30.000000  30.000000  30.000000\n",
       "mean   15.500000   0.719786   0.851992   2.258333   0.619567\n",
       "std     8.803408   0.118450   0.073565   1.871800   0.161012\n",
       "min     1.000000   0.325209   0.638667  -1.250000   0.391500\n",
       "25%     8.250000   0.700283   0.824983   0.762500   0.490875\n",
       "50%    15.500000   0.771804   0.881080   2.825000   0.572750\n",
       "75%    22.750000   0.797690   0.894979   3.625000   0.755875\n",
       "max    30.000000   0.824820   0.941757   5.300000   0.932000"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. Normal distribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "column=['f','x','y','z']\n",
    "c=['r','b','g','m']\n",
    "n=30\n",
    "mu=[]\n",
    "sigma=[]\n",
    "s=[]\n",
    "for i in range(4):\n",
    "    mu.append(np.mean(df[column[i]]))\n",
    "    sigma.append(np.std(df[column[i]])) \n",
    "    s.append(np.random.normal(mu[i], sigma[i],30))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x1728 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = [8,24])\n",
    "for i in range(4):\n",
    "    plt.subplot(4,1,i+1)\n",
    "    sns.distplot(df[column[i]],color=c[i],label=column[i])\n",
    "    plt.legend()\n",
    "plt.title('Distribution of data')    \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x1728 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = [7,24])\n",
    "for i in range(4):\n",
    "    plt.subplot(4,1,i+1)\n",
    "    sns.distplot(s[i],color=c[i],label=column[i])\n",
    "    plt.legend()\n",
    "plt.title('Normal Distribution of data')      \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2. Poison distribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "s1=[]\n",
    "for i in range(4):\n",
    "    s1.append(np.random.poisson(mu[i], 30))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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aRlubF4qSftfkOp12uN2pdYJUW3UNIEmIDh836Gx2AB5PKDHBBDPPmg/jpQ64334XEZ0ZpuHD4QBS7u8vkVLx85lIXD9tS+f10+mkAe24xj2EXlZWhurqarS3tyMQCGD79u0oLy/vfV1VVTz44IM4f/48AKCyshJz586Nd3GUZP7Dh2AeOy5tnz4WL0mnQ87SZdDbs9H1zk5EO9pFRyIiAjCIAi8oKMDGjRuxbt06rF27FqtXr0ZJSQnWr1+Puro65Obm4sc//jHuv/9+3HbbbThx4gQefPDBRGanBFGCAQSOH8u4m7f0l85khuMzN0MyGNG5cwfC7SxxIhJPUlP4vpEcQh8a3toPcf7nP8Oo/+/bCSlxuxrAmXf3JCBZaol2tKPj9ddgdg7DyO88Ar3NJjpSUqTa5zPRuH7als7rN2RD6JQ+/IcPQzIaYZk0SXSUlGbIzUPO0hsRamnFuZ9vghJKj+P8RKRNLHCCv+EwrJOnQGc0iY6S8kzDh2P8+vsQPH4M53/1C6jRqOhIRJShWOAZLtrVifC5s5CLZoiOohm58+aiYN1X4D9Ujwv/8TRv9EJEQsR9GRmlB3/DYQCAPJ0nsA1EzpKliPn9uPTH59FiMqPgK/dB0vH7MBENHRZ4hvMfPgSdzQbz6DGio2hO3opboQSDaK94BZJBD9df3csSJ6IhwwLPYKqqwt9wGHLRdBZPnPJvWwsoCtpfrQB0erjuvoe3oiWiIcECz2CR1hZEOzogTysSHUWzJElC/trPQY3F0FH5J0CS4Pry3fxCRERJxwLPYP7GRgBggQ+SJEkY9vkvAKqCjtcrgViUw+lElHQs8AwWaGqEPscBY0Gh6CiaJ0kSht3xJUhGI9q3VUCJRFD4la9B0utFRyOiNMUCz1CqqsLf1AB5ahGP2SaIJEkYtvbzkAxGtL38ItRwGIVfvx86o1F0NCJKQyzwDBVpuYhYVxes06aJjpJ28lffBp3JBPcL/43z/gBGfOOb0FmsomMRUZrhQboM5W9sAADIU1ngyZC7/BYUfPVr8Dc14MxPnkLMk573biYicVjgGcrf2AhDbi6MrgLRUdJWzvVLMOJv/w7hc2dx+slHEXG7RUciojTCAs9Aqqoi0NQI65RpPP6dZFmz52Dkxn9ErNuD04/9GIHjx0VHIqI0wWPgGSh84Txinm7IPP4dFyUWgz7U1e/57SMLMe5bf48zTz+Ns///4xhxzz3InjUriQkHJ2LhlzoiLWCBZ6BAU8/139apvP47HkoohLaaugH/XM4NN6Hz7Tdx7ne/Q+eceZBnzEzJERC5fBEg8aQ7olTHIfQM5G9sgCEvD0anU3SUjKKzWpF78y0wjx0H34F96N71Hh9HSkRxY4FnmJ7j3028/lsQyWBA9pKlsM2ei9DJ4+jY/hpiPp/oWESkQSzwDBM+fx4xrwdWXj4mjCRJsBWXIGfZZxDr7kb7tq0InTsrOhYRaQwLPMMEmj8+/j1VcBIyjx6N3JWrobfJ6Nq5A979NVAVRXQsItIIFniGCTQ39Vz/PYzHv1OBITsHubesgmXyFPgP1aNzeyWH1ImoX1jgGURVVfibm2GdMpXHv1OIZDAgu7QM2YvLEe1oR/urHFInomtjgWeQSGsLYl2dsE7h8HkqsoyfgNxVa6CXPxpS31cDNRYTHYuIUhQLPIMEmpsAANbJLPBU1WdI/XA92v+0DZH2NtGxiCgFscAziL+5CXq7Habhw0VHoU/x8ZB6zg2fgRoKouO1V+GrO8gT3IioDxZ4Bgk0N/H4t4aYR41G3prbYR49Br4PD6Dj9T8h2t3/W7gSUXpjgWeISNslRNvaOHyuMTqzBTnly5C9uLz3mnF/YwNUVRUdjYgE473QM8THx79lXv+tSZbxE2AsKISneje8H+xB6MxpZF9XBn2WXXQ0IhKEe+AZwt/cBJ0swzRylOgoFCe9LCPnxptgLy1D9JIb7RWvIHCkmXvjRBmKBZ4hAs3NsE6eAknHv3ItkyQJ1slTkLfmdhjyh8HzfhW6du5AzM+bvxBlGv42zwDRzk5EWi7y+u80os+yw3HzCmQtWIRwy0W0V7yC4PFj3BsnyiAs8AwQONIMgNd/pxtJkiBPK0Le6tthyHGge/d76H73bSihkOhoRDQEWOAZwN/cBMlshmXsWNFRKAkM2dlwLL8FtjnzEDpzGu3btiLc2iI6FhElGc9CzwCB5iZYJ02GpNeLjkJJIul0sM0shqmwEN273kXn9krYSmZDLi4Z8HX/SiwGfSh9rzePWHgfBEoPLPA0F/N6ET53FvYFC0VHoSFgHOZE7so18Ox5H76DBxC55Eb24iXQmcz9fg8lFEJbTV0SU4olly8CJKvoGESDxiH0NPfx8W956jTBSWio6EwmZC9e0nOC2/lz6PjTq4h2dIiORUQJxgJPc/7mJkgGA8zjxouOQkPo4xPcHMtvgRqNoKPyVYTOnxMdi4gSiAWe5gLNTbBMmAid0Sg6CglgchUgd+Vq6O12dO3cgcDRI6IjEVGCsMDTWCwQQOj0KVg5fJ7R9LINjuW39t6K1Vf7Ia8XJ0oDLPA0Fjx6BFBVyLyBS8bTmUxw3HgTLBMmwnfwQ/j272OJE2kcz0JPY/7mJkCvh2XCRNFRKAVIej3sZYshGYzwH64HANjmzuPjZYk0igWexgLNTbCMGw+duf+XEFF6kyQJWQsXAQBLnEjjWOBpSgmFEDx5Ark3rxAdhVLMJ0tcMhpgK5ktOBURDRQLPE0Fjx8DYjE+wISu6OMSV6MR+A5+CJ3NBuvEyaJjEdEAsMDTlL+5CZAkWCfxlzJdmSRJsJeWIRYIwFNdBZ1VhnnESNGxiKifeBZ6mgo0NcI8Ziz0siw6CqUwSa9HTvkyGBwOdL/zFiLt7aIjEVE/scDTkBIJI3j8GC8fo37RmUzIufEmSCYTut7eiajPLzoSEfUDCzwNBY8fhxqN8gYu1G962Yac8hugBPw4/dwWXiNOpAEs8DQUaGrsOf49ZYroKKQhRqcTWfMXwnO4Af66g6LjENE1DKrAKyoqsHLlSixfvhybN2++7PUdO3bg9ttvx2233Ya//du/RVdX+j5jOJX4m5tgHj0GetkmOgppjHXKVOQumAffwQ8ROndWdBwi+hRxF3hLSws2bdqELVu24OWXX8bzzz+Po0eP9r7u9Xrxwx/+EM888wy2bt2KqVOn4he/+EVCQtPVKZEIgseO8vIxioskSRj1xTugd+Sie/cuKIGA6EhEdBVxF3hVVRVKS0vhcDggyzJWrFiBysrK3tcjkQh+8IMfoKCgAAAwdepUXLhwYfCJ6VMFTxyHGonw+d8UN53JhJzF5VAjYXS/X8Xj4UQpKu4Cb21thdPp7J12uVxoaWnpnc7NzcXNN98MAAgGg3jmmWdw0003DSIq9Ufv8e/JPP5N8TPk5iJrzlyEz55B8NjRa/8AEQ25uG/koihKn/snq6p6xfspezwefOMb38C0adPw2c9+dkDLyM/PijdeynM67Ul535YTR2EbNxaF44cn5f37I9gagN2e3vdfz4T1y1o4F9EL5+Ct2YvciWNhzE7OZ1aEZP37SxVcv8wQd4EXFhaipqamd9rtdsPlcvWZp7W1FV/72tdQWlqKhx9+eMDLaGvzQlHSb/jO6bTD7fYk/H3VaBTdjU3IWbI0Ke/fX3YAHk9I2PKTLQuZs362RdcjtO0VXHjjTThuviUtHnriAIT++0i2ZP1+SRXpvH46nTSgHde4h9DLyspQXV2N9vZ2BAIBbN++HeXl5b2vx2IxPPDAA7j11lvx3e9+Ny3+4ae64IkTUMNhXv9NCaPPykLW/IWItLT0PF+eiFJG3HvgBQUF2LhxI9atW4dIJII77rgDJSUlWL9+PTZs2ICLFy/i8OHDiMVieP311wEAM2fOxKOPPpqw8NSXv6kBAHgHNkooy8RJCB47Cu/+GphHjYbOahUdiYgwyIeZrFmzBmvWrOnz337zm98AAIqLi9HY2DiYt6cBCjQ3wTRyFPRZ6XvuAA29noeeXIf2bVvh3V+D7OuXiI5EROCd2NKGGo0icPQILx+jpDDkOCBPn4ng8WMI83JQopTAAk8TwVMnPzr+zeFzSg5bcQn0djs8e6uhxmKi4xBlPBZ4mgg09Ryu4B3YKFkkgwFZC0sR6+6Gv7FBdByijMcCTxP+pkaYRoyEwZ4tOgqlMfOIkTCNHAV/3UHeZpVIMBZ4Gvj4+DcvH6OhkDVvAdRoFN6DB0RHIcpoLPA0EDx9CmooBJnHv2kIGHJyYJ06DcGjRxDtaBcdhyhjscDTwJ+Pf3MPnIaGrWQ2JKMRnpoP+LATIkFY4GnA39QI0/ARMGTz+DcNDZ3ZDNusOYhcvIAwnxtOJAQLXOPUWAyBIzz+TUPPOmUq9HY7vAf2cy+cSAAWuMYFT52CGgry9qk05CSdDrZZcxDr7EDoxHHRcYgyDgtc4wLNHx3/5glsJIB53HgYcnPhPfghVEURHYcoo7DANS7Q1AhjYSEMOQ7RUSgDSZIE25x5ULweBI82i45DlFFY4BqmxmI99z/n2eckkGnESBhdLvhqD0KNRkXHIcoYLHANC548ASUQgFw0XXQUymC9e+GBAPxNfAIh0VBhgWuYv+EwAECeViQ4CWU6k6sAphEj4T9UBzUSER2HKCOwwDXM33AY5tFjoLfbRUchgq1kFtRQCP7mJtFRiDICC1yjlFAIwWNHOXxOKcPodME0fAT8h+q5F040BFjgGhU4egRqNAp5OgucUoetZDbUUBAB7oUTJR0LXKP8DYcBvR7Wybz+m1KH0eWCcfgI+A7X84x0oiRjgWuUv+EwrBMnQWc2i45C1IetZBbUYLD3JkNElBwscA2Keb0InT7F49+UkkyuAhgLh8N/+BDUGPfCiZKFBa5B/qYGQFUhT2OBU2qyzSyBEgggeOyY6ChEaYsFrkH+hgZIZgss48eLjkJ0RcbCQhjyh8F3qJ73SCdKEha4BvkbDkOeOhWSwSA6CtEVSZIE28xiKF4PQqdOio5DlJZY4BoTaW9DpOUih88p5ZlGj4E+J6fn7mx8XjhRwrHANcZfXw8AkGfMFJyE6NNJkgR5RjGiHR0Inz8nOg5R2mGBa4zvUB0MuXkwjRghOgrRNVnGT4DOZoO/vlZ0FKK0wwLXEDUWg//wIcgzZ0KSJNFxiK5J0ukgT5+JSGsrwq0touMQpRUWuIYEjx+HEgjANqNYdBSifrNOmgzJbIG/vk50FKK0wgLXEN+hOkCn4/3PSVMkgwFyURHC584i2tEuOg5R2mCBa4ivvg6WCROhl22ioxANiHXKNEgGA3zcCydKGBa4RsQ8PdfT2nj2OWmQzmyGdco0hE6dRNTTLToOUVpggWuE7/AhQFVhm8nj36RN1qLpgCTBf6hedBSitMAC1wh/fR10WVkwjx0nOgpRXPSyDMvESQgeO4qY3y86DpHmscA1QFUU+A7VwTZ9JiQd/8pIu+QZMwFVRaDxsOgoRJrHNtCA0NkziHV3c/icNM9gz4Z5zFgEmpughMOi4xBpGgtcA3y1BwEA8owZgpMQDZ48oxhqJILAkSbRUYg0jQWuAb7aD2EZPwGGHIfoKESDZszPh7FwOAINh6HGYqLjEGkWCzzFRbs6ETx+HLZZs0VHIUoY28xiKIEAgsePiY5CpFks8BT38fB51qw5gpMQJY6xcDgMefnwH66Hqiii4xBpEgs8xXkPfghDXj5Mo0aJjkKUMD2PGp2JWHc3QmfPiI5DpEks8BSmhMPwHz4E26zZfPoYpR3zmLHQ2+3w19dBVVXRcYg0hwWewvyNh6GGw8iazeFzSj89jxqdgWjbJURaLoqOQ6Q5LPAU5jv4ISSzBdYpU0VHIUoKy4RJkCwW3l6VKA4s8BSlqiq8Bz+EbeZM6IxG0XGIkkIyGCBPm47w+XOItPNRo0QDwQJPUaFTpxDr7ISthJePUXqzTpkKyWDgXjjRALHAU5T34AFAkmArKREdhSipdGYzLFOmInTqBGJej+g4RJrBAk9R3n0fwDp5Cgz2bNFRiJJO/vhRo4cPiY5CpBks8BQUOn8O4fPnYZ+/QHQUoiGhl22wTJiIwJFmxAJ81ChRfwyqwCsqKrBy5UosX74cm0uWyUoAACAASURBVDdvvup83/72t/Hiiy8OZlEZxVvzASBJyJo7X3QUoiEjzyjuedRoAx81StQfcRd4S0sLNm3ahC1btuDll1/G888/j6NHj142zwMPPIDXX3990EEziWdfDayTJsPg4MNLKHMYsrNhHjsOgaZGKKGQ6DhEKS/uAq+qqkJpaSkcDgdkWcaKFStQWVnZZ56Kigp85jOfwa233jrooJkifOE8wufOIovD55SBbDNLoEajCDQ2iI5ClPIM8f5ga2srnE5n77TL5UJtbW2feb7+9a8DAPbt2xfXMvLzs+KNl/KcTvsV//uZnbWAJGHszctgzr/yPKku2BqA3W4WHSOpuH7JWnAhguPGItDUANfCOdCZTElZzNX+/aULrl9miLvAFUXpc39uVVUTfr/utjYvFCX97pHsdNrhdl/5cpmL7+6GddJkdCtG4CrzpDo7AI8nfYdAs8D1SybztJnwnzwF9/46yDNmJvz9HcBV//2lg0/7/ZIO0nn9dDppQDuucQ+hFxYWwu1290673W64XK54344AhC9eRPjsGWTN4/A5ZS6j0wlj4XD4DtdDjUZFxyFKWXEXeFlZGaqrq9He3o5AIIDt27ejvLw8kdkyjqdmLwAga+48wUmIxLLNmg01GESguUl0FKKUFXeBFxQUYOPGjVi3bh3Wrl2L1atXo6SkBOvXr0ddXV0iM2YEVVXh+WAvLJMmw5iXJzoOkVAmV0HPXvihOu6FE11F3MfAAWDNmjVYs2ZNn//2m9/85rL5nnjiicEsJiOETp9C+NxZuO65V3QUopRgmzUbna+/hkBzE+TpM0THIUo5vBNbiuiu3g3JYIB9/kLRUYhSAvfCiT4dCzwFqNEoPHveh23WbOhtNtFxiFIGj4UTXR0LPAX46usQ83iQfd31oqMQpZTevfD6OiiRiOg4RCmFBZ4Cuqt3Q2+3wzazWHQUopSTNXsu1FCQ90gn+gQWuGAxnw++gx/CvqgUkmFQ5xQSpSWj0wnz6DHwH66HEgyKjkOUMljggnk+2AM1GuXwOdGnsM2ZCzUaha+el6gSfYwFLlh31W6YRoyEecxY0VGIUpYhxwHLhEkINDUg5vOKjkOUEljgAoXOnEHw+DFkX7844feRJ0o3tlmzAAC+gx8KTkKUGljgAnW+/SYkoxE51y8RHYUo5eltWbBOLULw+DFEOzpExyESjgUuSMzvR/f71bAvLIU+K30fm0qUSLbiEkhGIzw1e6Gq6fekQqKBYIEL0v1+FdRQCI4bbhQdhUgzdGYzbLPmIHLxAsJnz4iOQyQUC1wAVVXR9dZOWMZPgGXceNFxiDTFOmUq9Dk58O77AGosJjoOkTAscAG66uoRvnAeOcu49000UJJOh6z5CxHzeOBvbBAdh0gYFrgAF197HTqbDfaFfHAJUTzMI0bCNHIU/HUHEQv4RcchEoIFPsQi7W1oe38PchaXQ2c0iY5DpFlZ8xdAjcXgrflAdBQiIVjgQ6zj9UpIkgTHjTeJjkKkaYbsHMgzixE6eQKhc2dFxyEacizwIRTt7kbXe+/AuWwpjPn5ouMQaZ5tZgn02dnw7HkfKp9WRhmGBT6EOndshxqJYOTn1oqOQpQWJL0e9tIyKD4vfLUHRcchGlIs8CES8/vR+dabyJo7D/KokaLjEKUNU0EhLJMmw99wCJH2NtFxiIYMC3yIdL29E0oggLyVq0VHIUo7WXPnQ2exoHvXe1CjUdFxiIYEC3wIKKEQOt54HfLMYljGjhMdhyjt6Mxm2MsWI9bVCe+BfaLjEA0JFvgQ6HzrTcQ8Hu59EyWRecRIWKcVIdDYwLPSKSOwwJMs5vWi/dUKyDNLIE+ZKjoOUVrLmjsPeocDnqpdUIJB0XGIkooFnmRt216BEgzC+YUvio5ClPYkvQE5i8uhhMPo3v0eVEURHYkoaVjgSRRubUXnWzuRvXgJzCNHiY5DlBEMuXmwL1iE8Plz8H14QHQcoqQxiA6Qzi69+EdIej2G3f450VGIMop1ylRE2tvgP1QHQ14en/pHaYl74EkSOHYU3poPkLviVhgcDtFxiDKOfcEiGJ0udFft4vXhlJZY4EmgRqNo+b//CX2OA3krbhUdhygjSXo9spcug85sRtdbbyLm84qORJRQLPAkaK/8E8Jnz6Dgr9ZBZ7GIjkOUsfRWGTk3fAZqJILON17no0cprbDAEyx0/hzat21F1vyFyJozV3QcooxnzMuH48aboQQC6NzxBqI+n+hIRAnBAk8gVVHQ8p/PQjKb4fry3aLjENFHjC4XcpbdiFh3F4787BeIeTmcTtrHAk+gzjffQPDYUbjuvAuGnBzRcYjoL5iGj0BO+Q0InD2H00/8MyJut+hIRIPCAk+QwPHjuPS/f4StZBbspWWi4xDRFZhHj8aUf/h7xLo9OP34jxE8eUJ0JKK48TrwBIh5PLjw7/8GfU4OCu9bD0mSREcioquQJ4zHuG/9Pc78+7/jzFOPY/gXv4js+fPT5t9txJIe60HXxgIfJFVRcOE/nkasuwujH/ou9FlZoiMR0adQQiF4z5xH9o03ofvdt3H+uefQtms37ItKoTOZRccbNLl8ESBZRcegIcAh9EFq2/oy/Ifq4bzrr3i3JyIN0VtlOG6+BbbZcxA6dRLt27YidO4sVFUVHY2oX1jgg9D5ztto37YV2dcvQc6SpaLjENEASTodbMWzkLtiJSS9Hl07d6Bzx3beuY00gUPocfLs3YPW5/4TtuISFNxzb9ocPyPKREanE3mrb0eguQm+2oPoeLUC5rHjYJ0yFcaCQqH/vtVYDEowACUY7PNHDQahhEJQY1EgFoMaiwGShFDtPkR1RuhMJuisMnQWC/S2LBgcOTA4cmFwOGAY5oTOaBS2TpQYLPA4eGsP4sJvn4F10mQMf+AbkAzcjERaJ+n1kIumwzJxIvz19QgcaULo1Enoc3JgmTgZ5pGjoM/JSUqZK6EQYl4PYp6P/nj//L+K3w9caVhfr4fObIakNwB6PSS9DlCBcDsQUwA1HO4p/kAAajT6iZWVYMjLg8lVCPOY0TCPGQfLmDE9X1Z0HJjVCjbPAHn278PF3/w7zCNHYcTffQs6s/ZPeiGiP9OZzMiaOw+2klkInjqBQFMTfPtr4NtfA50swzR8BAy5uTDk5ELvyIHOYv3U0lMVpWev2edDzO+D4vMi5vP1TPt8iHk9UMPhvhksFujsdhhdBdDb7dDLNugsVugs5p7lWSyQDIYrfpkYXb4Ink+cxKYEg4h2dSLa2YloexvCra2ItLYifPECOt/c0VvwktkM8+gxsIwZC8vEibBOmQZjbm4CtiolAwt8ADreeB3uF/4blvETMPLvvgW9LIuORERJIhkMsE6cDOvEyYj5fAifP4fw+XMInT2D4LGjfec1GiGZzX8uchVQY1Go4fDle78fvbfOlgW9zQaj0wl9lr2nqLPs0GVlJXx4W2exwGQphKmg8LLX1GgU4QsXEDx9EqFTpxA6cxpdu99D584dAACjqwDWqVMhT5kG69SpMOblJzQbxY8F3g+qosD9wn+hc8cbyJozD4Xr74fOZBIdi4iGiN5mg3XyFFgnTwEAKIFAzx5tVxfUUBBKMAQlHOoz1C3pDZBMPceiJbMFepsNelsWdDYZktGUMufNSAYDzKNHwzx6NHD9EgA9v/NCp08j0NwIf1MjvPtq0P3euwAAo9MFefqMnj9FRdDLNpHxMxoL/Boibjcu/PYZBI8egeOm5XB+8U4eIyLKcDqrFSarFabC4aKjJIWk08Eybhws48Yhd/ktPYV+9gwCTY3wNxxG9/vV6HrnLUCSYBk//qNCnwnrhIk8J2gIcUtfhaqq8LxfhdbN/xeQJBR+bT2yr7tedCwioiEn6XQ9x8XHjEXuzSugRqMIHD8G/+FD8B8+hPZXt6F9WwUkswXy1KmQp8+EPH0GTMOHp8xIQzpigV9B6NxZuP/4PPz1dbBOnoLCr62HcZhTdCwiopQgGQyQp0yFPGUqsPZziPl98Dc29ha6r/YgAMCQmwu5aAbkGTMgF82AITtbcPL0wgL/C9HOTrRtfRld770DndUK5xe/DMdNN3PInIjoU+hlG+xz58E+dx6AnkOPvsOH4D9cD++HB9BdtQtAz8NkPt47t06ewnOJBokFDiB46iQ6dmyHZ+8eAIDjMzchf/XtvK85EVEcjE4nHEuXwbF0Wc/x81MnPyr0Q+jYsR0dr7/Wc5b/5CmwTJoM64SJsEyYCL2NJ8QNRMYWeLSzA56aGng+2IPgsaOQzOaeD9xNK2ByuUTHIyJKC5JOB8v4CbCMn4D8VWugBIPwNzfBf/gQAk0NaN+2tffsfVPhcFgmToJl4kRYxoyDacQI7qV/iowpcCUSQfD4MfgbG+BvONxzHaeqwjRyFIZ94UvIWVLOyyGIiJJMZ7Egq2QWskpmAQCUYADBEycQOHYUwePH4D14AN273+uZWZJgKiiEadRomEeNgnnUaGTNnAwVFp7tjkEWeEVFBX79618jGo3i3nvvxd13393n9YaGBnz3u9+Fz+fD/Pnz8U//9E8wCNjo0c4OnPz+I1D8PkCSYB4zFvm3rUXWvAUwjxgx5HmIiKiHzmKFXDQdctF0AD1XAEVaWxA6cwahs2cQOncWoVMn4K3ZCwA4D/TcCjY/HyanC0anE8ZhPX/0DgcM2dnQZ2dDZ5WTcga8Go0i0tGOiNsNndkM68RJCV9Gf8Xdpi0tLdi0aRNefPFFmEwm3HnnnVi0aBEmTfrzyjz44IP453/+Z8yePRsPP/wwXnjhBdx1110JCT4QOpsN+Wtug9HpgnXKFO5pExGlKOnjve6CQtjnL+j970owgNC5czB729F+4gwibjcibje8B/Yj5vFc/j4GA/T2njLXyzZIZhN0ZnPP/eNNZugsZkiGj+549/ENeFS153GyqvrRveR7HhwT83kR6+5G1NONWHc3oCgAAH1ODib85GfCLpWLu8CrqqpQWloKh8MBAFixYgUqKyvxzW9+EwBw7tw5BINBzJ49GwDwuc99Dj//+c8HVOA6XWI2is5sRv6KWxLyXomSqHVLRZKqg0G2XntGjZIMBq6fhqX9+ul00KXhtdc6WYZh8mTk52fB0Obt85oSCiLa0YGYx4uYtxsxr7fnj8fb80CYYBBKOAylqxOxcAhKOAI1Er7yQ2I+IhmNPWVvtsAgyzAPGw+dLQuG7GwY8vJhyMuDuXA4dPrEXaU00F6Iu8BbW1vhdP752miXy4Xa2tqrvu50OtHS0jKgZeTmpu+ecn5+Op/hnoXxK28SHSKpxo8aJTpCUnH9tC3dH7F0+e/PLGDEMCFZRIr7q4OiKH2GDVRV7TN9rdeJiIgofnEXeGFhIdxud++02+2G6y8uv/rk65cuXerzOhEREcUv7gIvKytDdXU12tvbEQgEsH37dpSXl/e+PnLkSJjNZuzbtw8A8Morr/R5nYiIiOInqeqnHMW/hoqKCjz99NOIRCK44447sH79eqxfvx4bNmxAcXExGhsb8cgjj8Dr9WLGjBl4/PHHYeJF+URERIM2qAInIiIiMfiUDiIiIg1igRMREWkQC5yIiEiDWOBEREQaxAIX7Gc/+xl+8YtfiI6RMBUVFVi5ciWWL1+OzZs3i46TFF6vF6tXr8bZs2dFR0m4X/7yl1i1ahVWrVqFp556SnSchPvXf/1XrFy5EqtWrcKzzz4rOk7SPPnkk3jooYdEx0i4e+65B6tWrcLtt9+O22+/HQcPHhQdSSg+j00Qj8eDxx9/HK+++iq+/vWvi46TEP15wI3WHTx4EI888ghOnjwpOkrCVVVVYdeuXXjppZcgSRK+/vWv44033sDNN98sOlpC7N27F++//z62bt2KaDSKlStXYunSpZgwYYLoaAlVXV2Nl156CcuWLRMdJaFUVcXJkyfx1ltvCXmqZSriHrggb775JsaNG4evfvWroqMkzF8+4EaW5d4H3KSTF154AT/4wQ/S8q6CTqcTDz30EEwmE4xGIyZOnIjz58+LjpUwCxcuxB/+8AcYDAa0tbUhFotBlmXRsRKqs7MTmzZtwgMPPCA6SsIdP34cAHDffffhtttuw3PPPSc4kXj8GiPI2rVrASCths+v9YCbdPDoo4+KjpA0kydP7v3/J0+exGuvvYb/+q//Epgo8YxGI37+85/jd7/7HW655RYUFBSIjpRQ3//+97Fx40ZcuHBBdJSE6+7uxnXXXYfvfe97iEQiWLduHcaPH4/rr79edDRhuAeeZK+99hrKy8v7/PnKV74iOlZS8AE26eHIkSO477778O1vfxvjxo0THSfhNmzYgOrqaly4cAEvvPCC6DgJ88c//hHDhw/HddddJzpKUsyZMwdPPfUU7HY78vLycMcdd+Cdd94RHUso7oEn2a233opbb71VdIwhUVhYiJqamt7pTz7ghlLfvn37sGHDBjz88MNYtWqV6DgJdezYMYTDYRQVFcFqtWL58uVoamoSHSth/vSnP8HtduP2229HV1cX/H4/HnvsMTz88MOioyVETU0NIpFI7xcUVVUz/lg498ApYa71gBtKbRcuXMA3vvEN/OQnP0m78gaAs2fP4pFHHkE4HEY4HMabb76JefPmiY6VMM8++yy2bduGV155BRs2bMCNN96YNuUN9Jz4+9RTTyEUCsHr9eKll15KmxMs45XZX18ooQoKCrBx40asW7eu9wE3JSUlomNRP/32t79FKBTCE0880fvf7rzzTnz5y18WmCpxli5ditraWqxduxZ6vR7Lly9Pyy8q6eqGG27AwYMHsXbtWiiKgrvuugtz5swRHUsoPsyEiIhIgziETkREpEEscCIiIg1igRMREWkQC5yIiEiDWOBEREQaxAInIiLSIBY4ERGRBrHAiYiINIgFTkREpEEscCIiIg1igRMREWkQC5yIiEiDWOBEREQaxAInIiLSIBY4ERGRBrHAiYiINIgFTkREpEEscCIiIg1igRMREWkQC5yIiEiDWOBEREQaxAInIiLSIBY4ERGRBrHAiYiINIgFTkREpEEscCIiIg1igRMREWkQC5yIiEiDWOBEREQaxAInIiLSIBY4ERGRBrHAiYiINIgFTkREpEEscCIiIg1igRMREWkQC5yIiEiDWOBEREQaxAInIiLSIBY4ERGRBhlEB/g0HR0+KIoqOgby87PQ1uYVHUMTuK0Ghtur/7it+o/bamBSZXvpdBJyc239nj+lC1xR1JQocAApk0MLuK0Ghtur/7it+o/bamC0uL04hE5ERKRBLHAiIiINYoETERFpUEofAyciIrqWWCyKjg43otFwXD/f2qqDoigJTnV1BoMJublO6PWDq2AWOBERaVpHhxsWiwybrRCSJA345w0GHaLRoSlwVVXh83Wjo8ONYcOGD+q9OIRORESaFo2GYbNlx1XeQ02SJNhs2XGPFvwlFjgREWmeFsr7Y4nKyiF0IiJKK1EFCEWi/Z5fikhQ+3EduNlogCGFdntZ4ERElFZCkSg+aGjp9/x6nYRYPwp8QVEBDObUqc0U+i5BRESkbX/843/jm9/8a6iqioMHP8Sdd34Wfr8/KctigRMRESXIHXd8CZIk4aWX/gdPPvljPPzwDyDLclKWlTpjAZQWPP4wfKH+H3tKFal2bIuItEmSJPyf//N9rFv3JXz2s19AScnspC2LBU4JFQgO7NhTqki1Y1tEpF0XL16ALNvQ3NwIVVWTdoY89zmIiIgSxO/346mnHsWTT/4UZrMZL730P0lbFguciIgoQX71q5/juusWo6hoBv7hH76D3//+P3D+/LmkLItjhkRElFbMRgMWFBX0e35J1//rwK/lH//xod7/X1g4HFu3vt7vHAPFAiciorRi0GFA57QM5b3QE4lD6ERERBo0qAKvqKjAypUrsXz5cmzevPmy1w8dOoTPf/7zuO2223D//feju7t7MIsjIiKij8Rd4C0tLdi0aRO2bNmCl19+Gc8//zyOHj3aZ55HH30UGzZswNatWzF+/Hj89re/HXRgIiKiT1LVax/DThWJyhp3gVdVVaG0tBQOhwOyLGPFihWorKzsM4+iKPD5fACAQCAAi8UyuLRERESfYDCY4PN1a6LEP34euMFgGvR7xX0SW2trK5xOZ++0y+VCbW1tn3keeugh3HfffXjsscdgtVrxwgsvDGgZ+flZ8cZLOKfTLjqCJrS2+2HP0t4XNVk2w5mXnNsdXgs/W/3HbdV/mbStHA4Lzpw5A7f7rOgo/WK1WjBp0ngYjcZBvU/cBa4oSp+7y3zybjPBYBDf/e538fvf/x4lJSV49tln8Z3vfAfPPPNMv5fR1uaF0o9T+5PN6bTD7faIjqENej083qDoFAPm94fgjsWGfLn8bPUft1X/ZeK2studsMf5nUXE9ursDALo+7tSp5MGtOMa9xB6YWEh3G5377Tb7YbL5eqdbm5uhtlsRklJCQDgS1/6Evbu3Rvv4oiIiOgvxF3gZWVlqK6uRnt7OwKBALZv347y8vLe18eOHYuLFy/i+PHjAIA333wTxcXFg09MRERE8Q+hFxQUYOPGjVi3bh0ikQjuuOMOlJSUYP369diwYQOKi4vx+OOP41vf+hZUVUV+fj4ee+yxRGYnIiLKWJKawqft8Ri49qh6Pd7Zd1p0jAFbUFQAm4CnkfGz1X/cVv3HbTUwqbK9huwYOBEREYnDAiciItIgFjgREZEGscCJiIg0iAVORESkQSxwIiIiDWKBExERaRALnIiISINY4ERERBrEAiciItIgFjgREZEGscCJiIg0iAVORESkQSxwIiIiDWKBExERaRALnIiISINY4ERERBrEAiciItIgFjgREZEGscCJiIg0iAVORESkQSxwIiIiDWKBExERaZBhMD9cUVGBX//614hGo7j33ntx9913977W0NCAhx56qHe6vb0dOTk52LZt22AWSURERBhEgbe0tGDTpk148cUXYTKZcOedd2LRokWYNGkSAKCoqAivvPIKACAQCOALX/gCfvjDHyYkNBERUaaLewi9qqoKpaWlcDgckGUZK1asQGVl5RXnffrpp7FgwQLMnz8/7qBERET0Z3Hvgbe2tsLpdPZOu1wu1NbWXjafx+PBCy+8gIqKingXRURERJ8Qd4ErigJJknqnVVXtM/2xrVu34qabbkJ+fv6Al5GfnxVvvIRzOu2iI2hCa7sf9iyL6BgDJstmOPNkIcvmZ6v/uK36j9tqYLS4veIu8MLCQtTU1PROu91uuFyuy+bbsWMH7r///riW0dbmhaKo8UZMGKfTDrfbIzqGNuj18HiDolMMmN8fgjsWG/Ll8rPVf9xW/cdtNTCpsr10OmlAO65xHwMvKytDdXU12tvbEQgEsH37dpSXl/eZR1VVHDp0CHPmzIl3MURERHQFcRd4QUEBNm7ciHXr1mHt2rVYvXo1SkpKsH79etTV1QHouXTMaDTCbDYnLDAREREBkqqq4seor4JD6Nqj6vV4Z99p0TEGbEFRAWzmQd0WIS78bPUft1X/cVsNTKpsryEbQiciIiJxWOBEREQaxAInIiLSIBY4ERGRBrHAiYiINIgFTkREpEEscCIiIg1igRMREWkQC5yIiEiDWOBEREQaxAInIiLSIBY4ERGRBrHAiYiINIgFTkREpEEscCIiIg1igRMREWkQC5yIiEiDWOBEREQaxAInIiLSIBY4ERGRBrHAiYiINIgFTkREpEEscCIiIg1igRMREWnQoAq8oqICK1euxPLly7F58+bLXj9+/Djuuece3Hbbbfja176Grq6uwSyOiIiIPhJ3gbe0tGDTpk3YsmULXn75ZTz//PM4evRo7+uqquJv/uZvsH79emzduhVFRUV45plnEhKaiIgo08Vd4FVVVSgtLYXD4YAsy1ixYgUqKyt7Xz906BBkWUZ5eTkA4IEHHsDdd989+MREREQEQ7w/2NraCqfT2TvtcrlQW1vbO3369GkMGzYMDz/8MBoaGjBhwgR873vfG9Ay8vOz4o2XcE6nXXQETWht98OeZREdY8Bk2Qxnnixk2fxs9R+3Vf9xWw2MFrdX3AWuKAokSeqdVlW1z3Q0GsXevXvx3HPPobi4GD/72c/wxBNP4Iknnuj3MtravFAUNd6ICeN02uF2e0TH0Aa9Hh5vUHSKAfP7Q3DHYkO+XH62+o/bqv+4rQYmVbaXTicNaMc17iH0wsJCuN3u3mm32w2Xy9U77XQ6MXbsWBQXFwMAVq9e3WcPnYiIiOIXd4GXlZWhuroa7e3tCAQC2L59e+/xbgCYM2cO2tvb0djYCADYuXMnZsyYMfjEREREFP8QekFBATZu3Ih169YhEongjjvuQElJCdavX48NGzaguLgY//Zv/4ZHHnkEgUAAhYWFeOqppxKZnYiIKGNJqqqKP8h8FTwGrj2qXo939p0WHWPAFhQVwGaO+/ts3PjZ6j9uq/7jthqYVNleQ3YMnIiIiMRhgRMREWkQC5yIiEiDWOBEREQaxAInIiLSIBY4ERGRBrHAiYiINIgFTkREpEEscCIiIg0a+ltPEaUgSSfBF4oO+XLVdj/8cS7XbDTAwK/gRBmLBU4EIBSJ4WCz+9ozJpg9yxL341cXFBXAIOD2r0SUGvj9nYiISINY4ERERBrEAiciItIgFjgREZEGscCJiIg0iAVORESkQSxwIiIiDWKBExERaRALnIiISINY4ERERBrE+zBSwgTDURy50ImDRy/hUmcQkZgCp8MCV64MV64VZqNedEQiorTBAqeEqDveht+92oAuXxgA4MgywWjQoeFkJw6d6IBOJ2HWxHzMGJ8HnU4SnJaISPsGVeAVFRX49a9/jWg0invvvRd33313n9d/+ctf4n//93+RnZ0NAPjiF7942TykbaFIDC+8dRRv7T+HkU4bvrp6Bi62eWAy9OxtR2MK2rqCaDjVgQNHLuFUiwdlMwuRl20RnJyI7P0LNAAAIABJREFUSNviLvCWlhZs2rQJL774IkwmE+68804sWrQIkyZN6p2nvr4eP/3pTzFnzpyEhKXU4g1E8OTm/Th3yYflC0bj80snwGA2ob3L3zuPQa9DQZ6MgjwZpy56sOdwC16tPoXri4djwohsgemJiLQt7pPYqqqqUFpaCofDAVmWsWLFClRWVvaZp76+Hk8//TTWrFmDH/3oRwiFQoMOTKkhGlPwby/WoaXDj3/44izc+ZnJMBo+/Rj32EI7bl88Hq5cK3bXXsCJC91DlJaIKP3EXeCtra1wOp290y6XCy0tLb3TPp8PRUVFePDBB/HSSy+hu7sbv/rVrwaXllKCqqr4z9ca0XSmE/etLMLMCfn9/lmzSY8b546CK9eKXbUXcPKiJ4lJiYjSV9xD6IqiQJL+fDKSqqr/j717j4urPvCH/5n7nfvMcAsQEgJJCLkbxBhvSTAXTLy0G+0+0VrTWvXJ82R39ecTu6u1667t7ja2brdb0667rdFG1ySGqgTjJW0Ezf1OIJAQ7jMDw2VgBpjLef5AMWgSYBg4c4bP+/XKS4c5M+dzhoEP5zvnfM+Q2waDAdu3bx+8/fDDD2Pr1q3YsmXLiNcRH28MNl7Imc0msSOEjbc+rMKnZ1rwwMpsFN2aNeQ+u9MNk3H4z7fvumUa/vSXS/jLySaY9FORIfJwukqlHFHu8RDsevV6Dcxx+hCnCW/8ORw5vlajI8XXK+gCT0xMxJEjRwZvOxwOWCyWwdtNTU0oKyvDfffdB2Cg4JXK0a2ura0bgYAQbMSQMZtNcDi4pwgAlXXt+P17FcifZcUd85O/+booFHB1947ouW6dn4zSQ3UoPXQZawvSYdKrxyHxyHi9vhHnDiWTURv0et3uPjj8/hAnCl/8ORw5vlajEy6vl1wuG9WOa9BD6AUFBSgvL4fT6YTH40FpaSmWLVs2eL9Wq8W//Mu/oL6+HoIgYMeOHVixYkWwq6Mw4PMH8IfSKiREa/HgqpwhIy7BUCnluGVeCmQy4JPjTfD5AyFKSkQU+YIucKvVii1btmDjxo1Yv3491q5di7y8PGzatAmnT59GXFwcnn/+efzwhz/EnXfeCUEQ8N3vfjeU2WmCfXC4Hk2tPXhgxYyQTcpi1KuwdE4S2l19OFRhD8lzEhFNBmM6D7yoqAhFRUVDvnbl596FhYUoLCwcyyooTLR2evDOp5cwPysB86YnhPS5Uy1GzMmMw+mLTlhidJieGh3S5yciikScC51G5I39FwAA9y/PGmbJ4MzNSoA1TofDFXZ0e7zjsg4iokjCAqdhnbnUhuMXWnHXTVOREK0bl3XIZTLclJsEAQLKz7RAEMQ/eJGIKJyxwOm6BEHAOwcvIT5Kg5WLp4zruox6FRZkm9Hc5kZ1Y+e4rouISOpY4HRd5+s6UNPYhdX56VAqxv/tkj0lBtY4HY6cd6Cnl0PpRETXwgKn6/pTWS2ijWoszUuakPXJZDIU5CZCEAR8dtbGoXQiomtggdM1VTd2ouJyO+68IW3Yec5DyaRXY15WAhodPaizdU/YeomIpIQFTtf0p7JaGHUq3DovZcLXnZMWi1iTBocr7PD6OMELEdHXscDpqi63uHCqpg0rF0+BRj1xe99fkstlyJ9lhbvPh5PVrRO+fiKicMcCp6sqOVQHnWbgymFiMccOTOpScbkd7S5eipaI6EoscPqGrp5+HDlvx025SdBrxzRZ35gtmGGGWqnA5+d4QBsR0ZVY4PQNfznVBH9AwK3zJ/6z76/TqhVYkJ0Ae7sHF5u6xI5DRBQ2WOA0REAQcOBEE3LSYpCcYBA7DgBgeko0zDFaHK10oM87eS6fSUR0PSxwGuLMRSdaO3vDYu/7SzKZDEtmWdHX78fxKh7QRkQEsMDpaz453ogogxoLZpjFjjJEXJQWOemxqKrvQGunR+w4RESiY4HToLbOXpysacXNeUkTMm3qaM3NiodOo8DnZ20I8IA2Iprkwu+3NInmwMkmQABumZcsdpSrUisVWJRjQVtXH6rqO8SOQ0QkKhY4AQACAQGfnm7GnGnx43bJ0FDISDQhMV6P41Wt8PT5xI5DRCQaFjgBAM7XDUyWUpCbKHaU65LJZFgy0wq/P4CjlQ6x4xARiYYFTgCA8jMt0GkUmDc9Qewow4o2qjF7ahwuNnWhxekWOw4RkShY4IQ+rx9HqhxYlG2BWjXx854HY860eBh1Knx+zoZAgAe0EdHkwwInHK9yoK/fjxtnh/fw+ZWUCjlumGlBZ3c/zl5yih2HiGjCscAJZWdbEB+lwYy0GLGjjEqqxYh0qxEnq9vQ0c2LnRDR5MICn+Q6ewb2YPNnJ0Iuk4kdZ9RumGWFSilH2ekWDqUT0aTCAp/kBq7yBeRLaPj8SjqNEjfMsqC1sxfnLreLHYeIaMKMqcCLi4uxevVqrFy5Ejt27Ljmcp988gluv/32sayKxkn5mRakW01ICZMLlwQjI9GENKsRJy60opND6UQ0SQRd4DabDdu2bcPrr7+OPXv2YOfOnaiurv7Gcq2trfjpT386ppA0PmxONy7bXMifbRU7yph8ebETpUKGg6da4A8ExI5ERDTugi7wsrIy5OfnIyYmBnq9HoWFhSgpKfnGcj/60Y/wxBNPjCkkjY/D5+0AgMU5FpGTjJ1Oo0RBbiLaunpxrJJXLCOiyKcM9oF2ux1m81dXrLJYLDh16tSQZX7/+99j1qxZmDt3blDriI83Bhsv5Mxmk9gRQu54dSty0mORPS10Vx6zO90wGbUhe77RmG3Uwunqx6nqVmQkRyMzJXrEj1WplKLlDna9er0G5jh9iNOEt0j8ORwvfK1GR4qvV9AFHggEILviqGVBEIbcrqqqQmlpKf77v/8bLS0tQa2jra07LI4sNptNcDhcYscIqRanG5eaurDh9umh3TaFAq7u3tA93yjNyYxDo6Mb+w/XYa0qHSa9ekSP83p9ouQ2GbVBr9ft7oPD7w9xovAViT+H44Wv1eiEy+sll8tGteMa9BB6YmIiHI6v5qJ2OBywWL4aii0pKYHD4cC9996L73//+7Db7XjggQeCXR2F2JfD54siYPj8Sgq5DMvmJgEADpxogtfHz8OJKDIFXeAFBQUoLy+H0+mEx+NBaWkpli1bNnj/5s2bsW/fPrzzzjt45ZVXYLFY8Prrr4ckNI3dkfN2TEuJQlyUOMPG48mkV+PmvCS0d/XhwImmsBjFISIKtaAL3Gq1YsuWLdi4cSPWr1+PtWvXIi8vD5s2bcLp06dDmZFCrMXpRr29G4tzpH30+fWkWozIn21FU2sPys+0QBBY4kQUWYL+DBwAioqKUFRUNORr27dv/8Zyqamp+Oijj8ayKgqhweHz7NAdvBaOsqbEwN3nw8nqNug0SsyfkTDkOA0iIikbU4GTNEXy8PnX5U2Lh6fPhzOXnPD6A1g80yLJKWOJiL6OU6lOMrYvh8+zI+vgtWv5cpKXWRmxqKzrwIHjTfD5eWAbEUkfC3ySOXZh4MyBBRE+fH4lmUyGRTkWLJ5pQb29G/sO1cPl7hc7FhHRmLDAJ5njF1qRZjEiIVondpQJNzM9FrfOT0Zndx/2HqzFmYttPEKdiCSLn4FPIp09/ahp6MRdS6eKHUU0aVYT1i3V4lCFHceqWnGxqQtzpydg9rT4MT+3IAjo8/rR2+dHb78f/kAACrkcCoUMGpUCRr2Kn78TUciwwCeRk9WtEADMz0oQO4qoDDoVbluQgjqbC4cr7DhwoglHKx1IsxoxxWJEjEkDjUpx1ccKgoB+XwBdPf3o6ulH5xf/7erpR5fbe909eqVChliTFgnRWkxNNiF+EhxESETjhwU+iRyvciA+SosplvCZY15MaVYTUi1GNLX2wNHRizMX23CuduCa4nqtEgatCnLZwGfoAUGAp88HT58PPv9XJS2TDUwcE2VQI8VsgEGrgkatgE6thEIugz8gwB8IwNPnh7OrF21dfaiq70DF5XbEmjTInRaP1AQDVEp+mkVEo8MCnyT6+v04d7kdt8xN5rnQV5DLZEg1G7Hmpqn4/EwL2jp70d7dh/auXnj6/BAEAf6AALkMiI/SQqdRQq9VIsqgRrRBDaNOBbl8pK/nwMVV+r1+1Da7cKGhE3850QS9VonFORakWY383hDRiLHAJ4kzl5zw+gKTfvj8erRqBVLMBqSYDeO6HrVKgRlpMZiRFgNXrw+fHG3AgRNNSE7QY8ks64gvwEJEkxvH7SaJ4xccMGiVyJoSI3YUukJyghFrbkzH4hwLHB29eLf8MprbesSORUQSwAKfBPyBAE5WtyJvWjyUCn7Lw41cLsPMjFisLUiHXqPE/iMNqLjczvnbiei6+Nt8ErhQ34meXh/mZ02eyVukyKRXY1V+OlLMRhyusONQhZ0lTkTXxAKfBI5faIVSIUduZpzYUWgYKqUct81PHpz6lSVORNfCg9ginCAIOH7BgVkZsdCq+e2WAplMhoVfTHV7rrYdCvnAbR6hTkRX4m/0CNfg6EFrZy/W3JgudhQahS9LPBAQBkt8/gx+BEJEX2GBR7jjFxyQAZg3naePSY1MJsPimRb4AwJOX3TCqFchK5VnERDRAH4GHuGOV7UiMyUK0UaN2FEoCF9eDjUpXo/Pz9pga3eLHYmIwgQLPII5u3px2ebi0ecSJ5fLsGxeMow6FQ4cb0K3xyt2JCIKAyzwCHb8QisAXrwkEmhUCty2IBX+gICPjzXC5w+IHYmIRMYCj2DHLziQGKdHUvz4Tg1KEyPaqMayuUlod/XhcIVd7DhEJDIWeIRy93pRWdeB+TO49x1JUsxG5E6Nw4WGThyvcogdh4hExAKPUKdq2uAPCPz8OwLNy0pAQrQWb+yvQmuHR+w4RCQSFniEOn6hFVEGNTKTo8SOQiEml8tw89wkCALwm71n+Xk40SQ1pgIvLi7G6tWrsXLlSuzYseMb93/wwQcoKirCmjVr8PTTT6O/v38sq6MR8voCOHWxDfOmJ0DO2bsikkmvxv3LZ6CmqQt/KqsVOw4RiSDoArfZbNi2bRtef/117NmzBzt37kR1dfXg/W63G88//zxeffVVvPvuu+jr68Pu3btDEpqu73xdO/r6/VjAz78j2oJsM26cnYg/lV3G5RaX2HGIaIIFXeBlZWXIz89HTEwM9Ho9CgsLUVJSMni/Xq/HRx99hISEBHg8HrS1tSEqisO5E+F4lQMalQIz02PFjkLj7IEVWYgyqPDbP52D18ehdKLJJOipVO12O8zmrw6QslgsOHXq1JBlVCoVDhw4gKeeegoWiwVLly4d1Tri443Bxgs5s9kkdoQRCQQEnLrYhoUzLUhOmvhpN+1ON0xG7YSvd6xUKqVouYNdr16vgSVOj/9nwwL8+Lef4YNjjXhwzawQpwsvUvk5DAd8rUZHiq9X0AUeCASGXB1JEISrXi3plltuweeff46f//zneO655/Bv//ZvI15HW1s3AgHxL6VoNpvgcEhjiLKmqRPOrj7MTosVJ7NCAVd378Svd4y8Xp8ouU1GbdDrdbv74PD7kZ6gx815SXj74wvITonCtJToEKcMD1L6ORQbX6vRCZfXSy6XjWrHNegh9MTERDgcX52H6nA4YLFYBm93dHTg4MGDg7eLiopQWVkZ7OpohE5caIVcJsOcafFiR6EJtOGOLMSaNPiv9yo4lE40SQRd4AUFBSgvL4fT6YTH40FpaSmWLVs2eL8gCHjyySfR1NQEACgpKcGCBQvGnpiu61iVA9lpMTDqVGJHoQmk0yjx4J05aG5zo5hHpRNNCkEXuNVqxZYtW7Bx40asX78ea9euRV5eHjZt2oTTp08jNjYWP/nJT/CDH/wAd911Fy5duoQnn3wylNnpa2xON5rb3JjHuc8npTmZ8SjITcT7n11GnU384UAiGl9juh54UVERioqKhnxt+/btg/+/fPlyLF++fCyroFHgxUtowx1ZOHPJiVffO48fPbgQCjnnaiKKVPzpjiDHLjiQZjEiIVondhQSiVGnwl+vmIHLNhdKPq8TOw4RjSMWeITo6ulHTUMn5s/g3OeT3aIcCxZmm/HOwVo0t/WIHYeIxgkLPEKcqG6FAA6f04C/XjEDGpUcr75/HgFB/FMxiSj0WOAR4sSFVsRHaTHFEj6T35B4oo0abLgjC9UNnfjoaIPYcYhoHLDAI0Bfvx9na52Yn5Vw1cl0aHIqyE1EbmYc3j5wkZcdJYpALPAIcOaSE15fgMPnNIRMJsODhTmADPifkvMQOJROFFFY4BHgxAUHDFolsqZM/NznFN7io7X41q3TcLa2HQdPN4sdh4hCiAUucf5AACeqW5E3LR5KBb+d9E23zk/BjCkx2PlhNTq6+8SOQ0Qhwt/4Elfd0ImeXh/mZ/H0Mbo6uUyG767KgdcfwB/2VXIonShCsMAl7lhVK5QKOXIz48SOQmHMGqfH+pun4viFVhw+bxc7DhGFAAtcwgRBwPELDszKiIVWPaZZcWkSWLl4CjISTdjxQRVc7n6x4xDRGLHAJaze3o3Wzl4s4OxrNAIKuRzfXT0T7l4f/vjhBbHjENEYscAl7EilAzIZePUxGrEpFiPW3JiO8rM2nKppFTsOEY0BC1zCjlbakT0lBlF6tdhRSELWFmQgJcGA/ymphKfPJ3YcIgoSC1yimlp70NzmxsJsi9hRSGKUioGh9I7uPrz1cbXYcYgoSCxwiTpa5QAAfv5NQclMjsLKxVPwyYkmnKt1ih2HiILAApeoo5V2TEuJQqxJI3YUkqj1N2ciKV6P7X86hy4elU4kOSxwCbJ3eFBn68bCGRw+p+BpVAr84K7Z6PH48F/vVnCCFyKJYYFL0LHKgeHzhdkcPqexSbOa8Fe3T8epmjZ8cISXHSWSEha4BB2tsiPNaoQ5Rid2FIoAty9IwbzpCXjr42rUtnSJHYeIRojTd0lMu6sPNY1duPvmqWJHoQghk8nw8JqZePa/DuFXu87gHx5aBNM4nZroCwB93uBOXROcbrhFOO1No1JCyV0dCkMscIn5ch7rxTOtIiehSGLUqfDEPXPwz68dw6/3nMHfbpgHhTz0rdXn9eFwhS2ox5qMWri6e0OcaHiLZ1qh1PBXJYUf/l0pMYcrbEizGJEYpxc7CkWYqUlRePDObJyv68DOj3h+OFG4G1OBFxcXY/Xq1Vi5ciV27Njxjfv379+PdevW4a677sJjjz2Gzs7Osaxu0mvt8KCmqQuLZ/LocxofN81JwopFU7D/SAMOnmoWOw4RXUfQBW6z2bBt2za8/vrr2LNnD3bu3Inq6q/+au/u7sZzzz2HV155BXv37kV2djZefvnlkISerL4cPr+Bw+c0jr59+zTMTI/F/5Scx+mLbWLHIaJrCLrAy8rKkJ+fj5iYGOj1ehQWFqKkpGTwfq/Xi2effRZW60DZZGdno7mZf9GPxaEKO6YmRfHocxpXCrkcT9wzBylmA361+zRqGjlyRhSOgi5wu90Os/mr85AtFgtstq8OTomNjcWKFSsAAL29vXjllVewfPnyMUSd3GxONy7bXLiBw+c0AXQaJbZ8ex5iDBq89NZJNLb2iB2JiL4m6EMrA4EAZDLZ4G1BEIbc/pLL5cLjjz+OnJwc3H333aNaR3y8Mdh4IWc2m0Rd/0cnmgAAd96UiYQw3gO3O90wGbVixxg1lUopWu5g16vXa2Aex4MZzWbghcduwlMv/wXb3jyJn/zgRqQlRo3pOYUxvj/E+B6N9+s8XsT+nSU1Uny9gi7wxMREHDlyZPC2w+GAxTJ079But+N73/se8vPzsXXr1lGvo62tG4GA+NM7ms0mOBwuUTN8fLQeWanRELw+0bNcl0Ihyqk+Y+X1+kTJPZZTo9zuPjj8/hAnGkoB4G++PRf/+scT+D//fhBbvj0XU5OCL3F3X/Cvs1inkU3E6xxq4fA7S0rC5fWSy2Wj2nENegi9oKAA5eXlcDqd8Hg8KC0txbJlywbv9/v9ePTRR7Fq1So888wzV907p5FpbO1Bo6OHB6+RKFLMRjz91wugVSvwL28cR2Vdu9iRiAhj2AO3Wq3YsmULNm7cCK/Xi/vuuw95eXnYtGkTNm/ejJaWFpw7dw5+vx/79u0DAOTm5uKFF14IWfjJ4rOzLZDLZFjEuc9JJNZYPf6/v16If/3jcfzbzpN48M5s3DQnSexYRJPamKYXKioqQlFR0ZCvbd++HQAwZ84cnD9/fixPTwACgoDysy2YPTUO0UZeOpTEE2vS4OnvLMCv95zB796tQE1TF+6/IwsqzjNKJAr+5IW5yroOOLv6UJCbKHYUIpj0avzthnlYtSQNnxxvxIs7jsHe7hY7FtGkxAIPc2VnmqHTKDA/K0HsKEQABs4T/9Zt0/H43blocfbg7393CO9/dhn+QEDsaESTCmfoD2N9Xj+OVDpwQ44FapVC7DhEQyzMtiAzORqvlVbirU9q8Pk5G76zcgayUmPEjkY0KXAPPIwdr3Kgr9/P4XMKW7EmDf7ve/Pw+N256HT3459fO4af7zyBi028rjjReOMeeBgrO9OC+CgtsqZwj4bC28JsC3KnxuOj4w14/7M6/OPvj2D21DjcviAFc6clQC7naaREocYCD1Ptrj6crXVizY0ZkPMcepIAjVqBVUvSceu8FHx4tAEfHWvAy2+fRlyUBjfnJeOGmRZE8UwKopBhgYepz861QBDA4XOSHJ1GibUFGbhzSRpOVrfi4+ONeOfgJbxz8BJSzAaYY3SYYjEgxqjhBE9EY8ACD0OCIODPJ5sxPSUaiRKcg5kIAJQKORZmW7Aw24J2Vx+OnLfjs3M2nLjQihMXWqHXKpFqNiDFbERinJ7nkxONEgs8DFXWdcDmdGPtmpliRyEKiViTBisWT0FBXhIOHG9EY2s3Gh09uNjUhar6TsjlMiTG6b8odANMerXYkYnCHgs8DH1yohF6jRKLc3jpUIo8eq0SWakxyEqNgT8QgM3pQaOjBw2Obhyq6AEqgGiDGilmA1LNRlhidTwIjugqWOBhpsvdj2NVDtw6L4XnflPEU8jlSE4wIDnBgMUzLejq6UeDY2Dv/PzldpyrbYdKKUeK2YDczATEGFQsc6IvsMDDTNnpFvj8Am6Zlyx2FKIJF2VQY5YhDrMy4uD1BdDc1oMGRw/qbC7UNrugVSuQmRyF7LQYDrPTpMcCDyOCIODAiUZMT41Ginnk14QlikQqpRxpVhPSrCYsmWWF09WPsxdbUfHFnnmq2YCc9Fgkxet5NDtNSizwMFJZ1wFbuwdrCzLEjkIUVhRyGTJTomGO1sDd60NVfQeq6juw/0gD4qO0yJsej1SzgUVOkwoLPIzw4DWi4em1SszLSsCcaXG42NSF0zVOfHysEXFRGszPMiPFbBA7ItGEYIGHCWdXL46cd2D5olQevEY0Agq5HFmpMZiWHI2LTV04VdOGD482IDnBgEXZZsSYOOsbRTYWeJjYf7QBAgQsX5QqdhQiSZHLZZieGo2pySZUXu7AyZo2FH9aixlpMZiflcA/iCliscDDQG+/DwdONGFhtgUJ0Tqx4xBJkkIux6ypcchMicLJ6jZU1nWgzubC4plWpFuN/HycIg7nLgwDB081w9PnQ+HiKWJHIZI8rVqJJbOsWH1jGnQaJf58ogkfH2uEu9cndjSikGKBiywQELD/SAOmpURhWkq02HGIIkZCtA6r89OxKMeM5jY3ij+txeUWl9ixiEKGBS6yE9WtsHd4sHJxmthRiCKOXC7DrIw4rC1Ih1GnxIETTTh4qhn9Xr/Y0YjGjAUustJDdYiP0mLBjASxoxBFrGijBqvy05E3LR6Xmruw99NaNLf1iB2LaExY4CKqrGtHVUMnVi6eAoWc3wqi8SSXyzAvKwGrlqRBKZfhg8MNOFxhh98fEDsaUVDYGiJ65+AlRBvUnPecaAIlxOiw9qYMZKfFoOJyO94tv4wOV5/YsYhGbUwFXlxcjNWrV2PlypXYsWPHNZd76qmnsGvXrrGsKuJU1rXjfF0HVuen8zxVogmmVMixZJYVty9MQW+/H++WX0ZlXTsEQRA7GtGIBV3gNpsN27Ztw+uvv449e/Zg586dqK6u/sYyjz76KPbt2zfmoJGGe99E4ks1G1F0UwYssTp8fs6OT443obefB7iRNARd4GVlZcjPz0dMTAz0ej0KCwtRUlIyZJni4mLccccdWLVq1ZiDRhLufROFD51GieWLUrEo24xGRzeKeYAbSUTQM7HZ7XaYzebB2xaLBadOnRqyzCOPPAIAOHr0aFDriI8Pn0tqms2mkD3XS/97CrEmDe5dkQ1NhBW43emGyagVO8aoqVRK0XIHu169XgNznD7EacaXMMb3x3h+j5bM0SEzNQalh+rwweEGLMi24IbZiZJ8nYHQ/s6aDKT4egVd4IFAYMjUhIIghHyqwra2bgQC4n8mZTab4HCEZgKIM5facKq6FfffkYWuDndInjOsKBRwdfeKnWLUvF6fKLlNRm3Q63W7++DwS2u4190X/Os8ltdqpLQqOVYtScPh83Ycq7TjcksXLNEayCT2Oofyd9ZkEC6vl1wuG9WOa9BD6ImJiXA4HIO3HQ4HLBZeBvN6/IEA/vhhNSwxOtw6P0XsOER0FSqlHAW5iVg2Lxmunn789LVjKDvTLHYsom8IusALCgpQXl4Op9MJj8eD0tJSLFu2LJTZIs6BE01oau3Bt2+fDpWSZ/ARhbOMRBPW3pSBFLMBv/1TBV4pPgtPH+dTp/ARdItYrVZs2bIFGzduxPr167F27Vrk5eVh06ZNOH36dCgzRoSeXi/2/OUScr64xCERhT+jToXN35qL9TdPxaFzdjz7X4dQ09gpdiwiAGO8nGhRURGKioqGfG379u3fWO7FF18cy2oiwt6Dtejp9WLDHVm8rCGRhCjkMtx101TMSo/Db/aexT+9dhR33pCGdUun8iwSEhXHcSdAU2sPPjrWgGVzk5ESXYtNAAAgAElEQVRmld6RjkQETE+Nxo8fvgFL5yTh/c/r8Oyrh1FV3yF2LJrEWODjLBAQ8Or7FdCqFbj75kyx4xDRGOi1Snx39Uz87YZ58PsDeHHHMbz6XgVc7n6xo9EkxAIfZx8cqUdNYxceWD4DUQa12HGIKARmZ8Th+e/dgMIbpqDsTAu2vvIZPj7eGBanvdLkwQIfRy1ON3b9+SLmTU9A/myr2HGIKIS0aiX+6vYsPPfwDZhiMeIP+yrx3KuHcKqmlXOq04RggY+TQEDAf71XAZVCjv+rMJsHrhFFqJQEA568fz5+uD4X/d4AXnrrFP7ljeOo5tHqNM7GdBQ6XVvp4XpUN3Tie2tmItakETsOEY0jmUyGxTkWzM9KwIETTdj76SX80x+OIictBmsLMjAzPZZ/xFPIscDHQWVdO/73kxosnGFGQW6i2HGIaIIoFXLcsTAVN81JxIETTSg5VId//eMJZCSacMfCVNww0wKVkqeeUWiwwEOso7sP//nOWZhjdXh4zUz+1U00CWnVShTekIbbF6Tg4OkW7D9Sj9+9W4GdH1VjaV4SCnITkWoOn4s1kTSxwEPI5w/gP/acgaffh7/bMA86DV9eoslMpVTgtvkpuHVeMs5fbsdHxxpReqgeJZ/XYYrFiPzZViyYYYY1VnpXOyPxsWFCRBAEvPHhBVQ3dOIHd81GCv+6JooIMrkMPSGYAz0tKQoPrYnCve5+HKty4Mh5O976uAZvfVyDxDg9cjPjkZMeg8zk6DFfK0HL89InBRZ4iOz9tBYfH2vEnUvSsGQWTxkjihR9Xj9OVjmGX3AU9Bolls1NxoIsL+od3ai3d+PDo/XYf6QecrkMlhgdLLE6xEdrER+lhV47ul/VtyxMAz+8i3ws8BD44Eg93jl4CTfNScS3bp0mdhwikgijXoWZ6bGYmR6Lfp8fdqcHLU43mtvcOF3Thi/PJtdrlANlHq1FfJQG0UYNDFolj7GZ5FjgY1R2phlv7L+A+VkJeGhVDn+giCgoaqUCqRYjUi0DH7/5/AE4u3rR2tmLti/+1du7B5dXKmSINmgQbVQjxqhGtFGDaIMaRr1KrE2gCcYCH4P9R+rxxv4LmJkei0fXzYZCznlxiCg0lAo5LLF6WK44wK3f60e7qw+d3f3o6Bn4b0ubGxebugaXkctlOHC8CUnxeiQnGJAcb0CK2QBrrB5yOXcwIgkLPAgBQcDbB2rw/md1mDc9AT9YN5vndhLRuFOrFLDG6WGNG3rUer/Xj86e/oFi7+6DQqHAxaYuHKqwDy6jUsqRnGDAFIsRU8wDe/pTLEYYddxjlyoW+Cj1e/3475Lz+OysDbfOT8F3VmRxz5uIRKVWKWCO0cEcowPwxUFsfj/6+v1ocbrR4Oge+GfvxqnqVhw81Tz42BijeqDMzUZkJEUhMykKcVEafhwoASzwUWhwdOM375xFY2sP7l6WibU3pvNNTkRhS6NWID3RhPRE05Cvd/b0o8E+cPR7wxdHwVfU1sP/xdXUog1qZCZHITM5ClOTBv5xXovww+/ICAiCgI+PNeCPH1VDp1Hib/5qLnKnxosdi4goKNEGNaKnxmH21LjBr/n8AdTbu3GxqQsXmzpxsakLxy+0AgBkAJISDMhMGij1aSnRSEkw8DN1kbHAh3G5xYV/3XkC5y45kZsZh0fWzOJ1vYko4igV8sG97TsWpgIAuj1e1DZ3DZR6cxdOVLfi4OmB4XetWoGpSQNlPj0lCpnJ0fw8fYKxwK+hs7sP7xy8hAMnmmAyqPHgndm4eW4y5BwyJ6JJwqhTITczHrmZAyOOgiDA3uFBTWMnahq7UNPYiXfLa/Hl5c8T4/SYlvJFqSdHI5l76eOKBf41NqcbJYfq8OnpFgQCApYvmoKH18+Bp7tX7GhERKKSyWSwxuphjdWjIDcJANDb78OlZtcXpd6Jk9Vt+PR0C4CBvfTM5ChMS47GtJRoTEuJgkHLvfRQYYFj4MjyE9WtKD/TglM1bVAo5Fg6JxGFS9JgjdXDqFOxwImIrkKrVg7OJgd8sZfe7kF1Yydqmgb20v9UPnQvPc1qRLrVhDSrCWlWI0x6fiwZjElb4C53P87WOnHmohPHLzjg6fMj1qTBmoJ03LEgFdFGjdgRiYgkRyaTDZ6rftOcgb10T58Ptc1dqG7qQm3zQKlfeY56rEmDNIsRyWYDkuIMSErQIynOMOo54CebMb06xcXF+PWvfw2fz4cHH3wQ3/nOd4bcX1FRgWeeeQY9PT1YtGgRfvzjH0OpFOcbYmt3o7qhExebu3CxsQt1NhcEAAatEguyzLgxNxE5abH8vIaIKMR0GiVmZsRhZsZXR713e7yot7lw2daNOrsL9bZunLnkHDyVDQCijWokffHHQHyUFgmD88FrEWPUTPrf10G3qc1mw7Zt27Br1y6o1Wps2LABS5YswfTp0weXefLJJ/GP//iPmDdvHrZu3Yo333wTDzzwQEiCj0ZrpwfPvPI5AoIArVqBjEQT1i2ditzMeGQkmib9m4CIaKIZdapvlLo/EEBrRy+a2nrQ0uZGU1sPmtvcOFblgMvtHfJ4hVyGWNPA/O8mvRpRBjWiDCqY9GpEG9TQaZTQqZXQqhUD/zQD/69UjGzirUBAgNcfgM8fgKfPhx6PD929Xrh6+tHu6oPT1QeTToW7lk4N6esyGkEXeFlZGfLz8xETEwMAKCwsRElJCZ544gkAQGNjI3p7ezFv3jwAwD333INf/vKXohR4nEmLv/mruYg2apAUx/mAiYjCkUIu/2qq2Kyh9/X1+9HW1Yu2Ky7w4uzqRZe7H62dvbjY3AWXu3/ws/Zrr0MGmUwGhVwGuXzgv0qlHIIgwO//orR9gSEjAVej0yiRlRo9xi0em6AL3G63w2w2D962WCw4derUNe83m82w2WyjWkeoilYulw2eBjGW56DhCXIZ9BI8ylSpkIuSW6dRwu8Lbr1KhVxy78uxvM5jea3GQqz3xljI5TLIBGm9N4aj0yqRqv3qam1XExAEeHp96PZ40ds/MJVsn9ePXq8Pff0B9Hl98PoEBAIC/MLAfwOCAJVKCY+nH0qFHEqlHEq5HEqlDEq5DEqFHBq1AnqtCgatEgadClF6NbTq0F//YrQ/z0EXeCAQGDKNqCAIQ24Pd/9IxMYago0XcvHx137T0FBrbpbmNdEzU2PFjjAppCaJu9cSDL43KBwFfRWOxMREOByOwdsOhwMWi+Wa97e2tg65n4iIiIIXdIEXFBSgvLwcTqcTHo8HpaWlWLZs2eD9KSkp0Gg0OHr0KADgnXfeGXI/ERERBU8mCMN95H9txcXF+M1vfgOv14v77rsPmzZtwqZNm7B582bMmTMH58+fx49+9CN0d3dj9uzZ+Od//meo1Txhn4iIaKzGVOBEREQkjqCH0ImIiEg8LHAiIiIJYoETERFJEAuciIhIgljgREREEsQCH4WXXnoJL7/8stgxwlZxcTFWr16NlStXYseOHWLHCXvd3d1Yu3YtGhoaxI4S1v793/8da9aswZo1a/Czn/1M7Dhh7xe/+AVWr16NNWvW4NVXXxU7jiT89Kc/xdNPPy12jFFjgY+Ay+XC1q1b+cNwHV9ene7111/Hnj17sHPnTlRXV4sdK2ydPHkS999/P2pra8WOEtbKyspw8OBB7N69G3v27MHZs2fxwQcfiB0rbB06dAifffYZ9u7di7fffht/+MMfcPHiRbFjhbXy8nLs3r1b7BhBYYGPwIcffoiMjAx897vfFTtK2Lry6nR6vX7w6nR0dW+++SaeffZZTi88DLPZjKeffhpqtRoqlQrTpk1DU1OT2LHC1g033IDf//73UCqVaGtrg9/vh16vFztW2Oro6MC2bdvw6KOPih0lKCzwEVi/fj2+//3vQ6EI/dVnIsXVrk432qvPTSYvvPACFi1aJHaMsJeVlTV4SeLa2lq8//77uOWWW0ROFd5UKhV++ctfYs2aNbjxxhthtVrFjhS2/uEf/gFbtmxBVFSU2FGCwgK/wvvvv49ly5YN+ffQQw+JHUsSQnH1OaJruXDhAh5++GE89dRTyMjIEDtO2Nu8eTPKy8vR3NyMN998U+w4Yemtt95CUlISbrzxRrGjBC3oy4lGolWrVmHVqlVix5CkxMREHDlyZPD2169ORxSso0ePYvPmzdi6dSvWrFkjdpywVlNTg/7+fsycORM6nQ4rV65EZWWl2LHC0nvvvQeHw4F169ahs7MTbrcb//RP/4StW7eKHW3EWOAUEgUFBXj55ZfhdDqh0+lQWlqKn/zkJ2LHIolrbm7G448/jm3btkl6T2miNDQ04Je//CXeeOMNAAPH79x7770ipwpPVx6UvGvXLhw6dEhS5Q2wwClErFYrtmzZgo0bNw5enS4vL0/sWCRxv/vd79DX14cXX3xx8GsbNmzA/fffL2Kq8HXLLbfg1KlTWL9+PRQKBVauXMlRiwjGq5ERERFJEA9iIyIikiAWOBERkQSxwImIiCSIBU5ERCRBLHAiIiIJYoETERFJEAuciIhIgljgREREEsQCJyIikiAWOBERkQSxwImIiCSIBU5ERCRBLHAiIiIJYoETERFJEAuciIhIgljgREREEsQCJyIikiAWOBERkQSxwImIiCSIBU5ERCRBLHAiIiIJYoETERFJEAuciIhIgljgREREEsQCJyIikiAWOBERkQSxwImIiCSIBU5ERCRBLHAiIiIJYoETERFJEAuciIhIgljgREREEsQCJyIikiAWOBERkQSxwImIiCSIBU5ERCRBLHAiIiIJYoETERFJkFLsAMNpa+sWO8K4iY83Ruz2RfK2AZG9fZG8bQC3T8oieduAge0bjbAv8EBAEDvCuIrk7YvkbQMie/siedsAbp+URfK2jRaH0ImIiCSIBU5ERCRBLHAiIiIJCvvPwImIiK7H7/ehvd0Bn69f7CgjolSqERtrhkIxtgpmgRMRkaS1tzug1ephMCRCJpOJHee6BEFAT08X2tsdSEhIGtNzcQidiIgkzefrh8EQFfblDQAymQwGQ1RIRgtY4EREJHlSKO8vhSrriAq8uLgYq1evxsqVK7Fjx45v3L9//36sW7cOd911Fx577DF0dnYCAHbv3o2lS5di3bp1WLduHbZt2xaS0ERERJPdsJ+B22w2bNu2Dbt27YJarcaGDRuwZMkSTJ8+HQDQ3d2N5557Dm+//TasVit+8Ytf4OWXX8aPfvQjnDlzBk8//TTWrl077htCREQEAH55P/r8oT+gTaNQQxFQh/x5gzVsgZeVlSE/Px8xMTEAgMLCQpSUlOCJJ54AAHi9Xjz77LOwWq0AgOzsbBQXFwMATp8+jdraWvzmN79BdnY2/v7v/x7R0dHjtS1ERETo8/fjWNOZkD/vguRc6GXhU+DDDqHb7XaYzebB2xaLBTabbfB2bGwsVqxYAQDo7e3FK6+8guXLlwMAzGYzHnvsMezduxdJSUl4/vnnQ52fiIgobPzkJ3+PvXt3D95+4onv4+zZ0P8xAYxgDzwQCAz5wF0QhKt+AO9yufD4448jJycHd999NwDgV7/61eD9jzzyyGDRj4bZbBr1Y6QkkrdPatvW3d8Dj7d3RMs6etoA/TgHGoZOpYVRbRiX55ba9260uH3SdbVts9vlUCq/2h+VB2SQK0J/jLZcIYNSfv3nveuu9di+/T9xzz33orm5CZ2dHZg7N++bzyWXj/n7NGyBJyYm4siRI4O3HQ4HLBbLkGXsdju+973vIT8/H1u3bgUwUOhvv/02HnroIQADxa9QKEYd0OFwjfoxUmE2myJ2+6S4bW6he8TDbiaTFi7XyMp+vCxIzoVHFgj580rxezca3D7puta2BQIB+Hxf/SwEBAEBf+h/NgJ+Ab7A9Z83L28BHA4H6usbsG/feygsXD0k25WZv74toy30Yf9EKSgoQHl5OZxOJzweD0pLS7Fs2bLB+/1+Px599FGsWrUKzzzzzODeuV6vx29/+1ucPHkSAPDaa68FtQdOREQkFTKZDKtWrcX+/fvw4YeluPPONeO2rmH3wK1WK7Zs2YKNGzfC6/XivvvuQ15eHjZt2oTNmzejpaUF586dg9/vx759+wAAubm5eOGFF/DSSy/hueeeQ29vLzIyMvCzn/1s3DaEiIgoHKxatRaPPfYIpk7NREKCefgHBGlEU6kWFRWhqKhoyNe2b98OAJgzZw7Onz9/1cctWrQIu3fvvup9RERE40GjUGNBcu64PC9GMDJvtSbCak3EqlVFwy88BpwLnYiIIooioB6f071GUN6CIKCtrRVOZxtuvvmW0Ge4AqdSJSIiCpFPPvkQDz10P37wg8ehVo/vOePcAyciIgqR225bjttuWz4h6+IeOBERSZ4gCGJHGLFQZWWBExGRpMnlCvj9PrFjjJjf74NcPvp5Ub6OBU5ERJKm0xnhcnVAEEI/eUuoCUIALlc7dDrjmJ+Ln4ETEZGkGY3RaG93wGZrABDuQ+kyqNVaGI1jv7AXC5yIiCRNJpMhLs4y/IIRhkPoREREEsQCJyIikiAWOBERkQSxwImIiCSIBU5ERCRBLHAiIiIJYoETERFJEAuciIhIgljgREREEsQCJyIikiAWOBERkQSxwImIiCSIBU5ERCRBLHAiIiIJYoETERFJEAuciIhIgljgREREEsQCJyIikiAWOBERkQSxwImIiCSIBU5ERCRBLHAiIiIJYoETERFJEAuciIhIgljgREREEsQCJyIikiAWOBERkQSxwImIiCSIBU5ERCRBLHAiIiIJYoETERFJEAuciIhIgljgREREEsQCJyIikiAWOBERkQSxwImIiCSIBU5ERCRBIyrw4uJirF69GitXrsSOHTu+cf/+/fuxbt063HXXXXjsscfQ2dkJAGhqasJ3vvMd3HnnnfjhD3+Inp6e0KYnIiKapIYtcJvNhm3btuH111/Hnj17sHPnTlRXVw/e393djeeeew6vvPIK9u7di+zsbLz88ssAgB//+Md44IEHUFJSgtzcXPzHf/zH+G0JERHRJDJsgZeVlSE/Px8xMTHQ6/UoLCxESUnJ4P1erxfPPvssrFYrACA7OxvNzc3wer04fPgwCgsLAQD33HPPkMcRERFR8IYtcLvdDrPZPHjbYrHAZrMN3o6NjcWKFSsAAL29vXjllVewfPlytLe3w2g0QqlUAgDMZvOQxxEREVHwlMMtEAgEIJPJBm8LgjDk9pdcLhcef/xx5OTk4O6774bNZvvGcld73HDMZtOoHyMlkbx9Uts2R08/TCbtiJcfzbLjQW9Qw2wYn9dYat+70eL2SVckb9toDVvgiYmJOHLkyOBth8MBi8UyZBm73Y7vfe97yM/Px9atWwEAcXFxcLlc8Pv9UCgUV33cSDgcrlE/RirMZlPEbp8Ut80t9MPl6h3RsiaTdsTLjhe3qR8Od+hfYyl+70aD2yddkbxtwOj/OBl2CL2goADl5eVwOp3weDwoLS3FsmXLBu/3+/149NFHsWrVKjzzzDODe9kqlQqLFi3Ce++9BwDYs2fPkMcRERFR8IbdA7dardiyZQs2btwIr9eL++67D3l5edi0aRM2b96MlpYWnDt3Dn6/H/v27QMA5Obm4oUXXsCzzz6Lp59+Gr/+9a+RlJSEn//85+O+QURERJOBTBAEQewQ1xPpwyWRun1S3Da30I1jTWdGtGw4DKEvSM6FXmYM+fNK8Xs3Gtw+6YrkbQPGYQidiIiIws+wQ+hEk01AENDc0wKb2wFXfze6+l3o8/dDp9RCr9TBoNIjy5+OaHks5DL+DUxE4mCBE33B7fWgwnkB1R0X0e3tgUImh0ltQqw2BlqFBh5fLzw+D+pcjajprIVGoUaaKRU5sVkwqg1ixyeiSYYFTgTghP00dlT+L9xeD8y6eMxNmI1UU/JV97D9QgCdAScqbDWo6axFTWctZsZlYVZcNpRy/kgR0cTgbxua1Dy+XrxV9Q4+bzmKVFMybk7OR5w29rqPUcjkSI9JRZwiAW6vByccZ3C2rRKXOuuw2DofycbECUpPRJMZC5wmLbu7Ff9+4rdw9rZjVcYduCU9HydbKkb1HHqVDgXJi5HlnorDthM40FiGOfEzMTs+J6iZB4mIRooFTpNSS48dvzz+G/gEP/5m4Q+RGZ0Bt9Ad9POZ9QlYmX4bDtuO43RbBZx9HbgxcRFUClUIUxMRfYWH0NKk09TdgpeO/ScCEPD/zn8UmdEZIXlepVyB/MSFWGDJQ1N3Cz6oOwCPT9xzxYkocnEPnMZFd3/PmPZox4u9pxW/Ov4qlDIFfjBvI2IMxsGcAbl/zM8vk8mQHTsd0eoo/LmxHB/V/wW3T1kKnVI35ucmIroSC5zGhcfbO+JZzSZKv9+L0ssfwx8I4Pa0m9HQ2YKGzpbB++ckzwjZuhINFtyaWoADDWX4sO4vuH3KzdCrWOJEFDocQqdJISAIKG8+jG5vD5YmL4FJHfopSL/Oojfj1tSb4PH14qP6v6DX1zfu6ySiyYMFTpPCmdZzaOppwQJLHiz6hAlbr1mfgFtTb4Lb58afG8vgC/gmbN1EFNlY4BTxGrqbcNZZiczodGTFZE74+s36eNyYtBhtve0obz6CQHhfP4iIJIIFThGtz9eHQy3HEaOJxiLLPNHOzZ5iSsECSx4auptwwnFalAxEFFl4EBtFtCP2k/D6+3Fb6lIo5ApRs2THTkeP143K9mpEqU2YHjNV1DxEJG3cA6eIVe9qRJ2rAbMTZiJWGy12HADAPPMcJOotOGo/iTaPU+w4RCRhLHCKSL2+Phy2nUCsJgaz4kJ3ethYyWUyFCQvhk6hxcGmz9HHI9OJKEgscIpIxx2n4PX3Iz9pYdhds1uj0GBpyhL0+vvwafNhHtRGREEJr99sRCHQ6nGitqseOXEzEKMJj6Hzr4vTxmKRdR5sbjvOto3uAipERAALnCKMIAg4Zj8JnUKLWfHZYse5rmnRGciISsPZtvOwu1vFjkNEEsMCp4hS21WPtt525JlnQyUP/5MsFlnnwqAyoLz5MPr9/WLHISIJYYFTxPAGfDjZegZx2lhMjUoTO86IqOQqFCQthsfXi0MtxyHw83AiGiEWOEWMCmclPL5eLLDkiTZhSzDidXHIS5iF+u5GXOy8LHYcIpIIFjhFBI+vF+ed1UgzpcKsixc7zqjNjJsBiy4Bxxyn0ON1ix2HiCSABU4RocJZhYAQQF7CLLGjBEUmk2FJ4kJAEHCo5RiH0oloWCxwkjy3z4PqjovIiJoyIZcJHS9GtQHzzLlocdtxsbNW7DhEFOZY4CR5FW1VCAgCcuNnih1lzKbHZMKiN+OY4zSH0onouljgJGk9XjeqOy8hMzodRrVB7DhjJpPJsMS6gEPpRDQsFjhJ2rm2SkAQMDs+R+woIcOhdCIaCRY4SZbb68bFzlpkxmTAoNKLHSekOJRORMNhgZNkVbbXQAAwKy68p0wNBofSiWg4LHCSpH5/P6o7LiHNlBpxe99f4lA6EV0PC5wkqbrjEnyCDzPjssSOMq6uHEp3ez1ixyGiMMICJ8nxB/yobK9Got6CWG2M2HHG1ZdD6YIQwDH7SbHjEFEYYYGT5NR21aHX34eZcTPEjjIhjGoDcuNnor67CY3dzWLHIaIwwQInSREEARXOC4jTxMCqN4sdZ8LkxGUhWh2FI7YT8AZ8YschojDAAidJaeppgcvbjZy4GZK64thYyWVy3JA4H26fB6dbz4kdh4jCAAucJKWyvQZ6pQ5TTMliR5lwCbp4TI+Ziqr2ajh728WOQ0QiY4GTZHT2dcHmtmN6zFTIZZPzrTs3YTY0Cg0OtRyHPxAQOw4RiWhy/hYkSbrQcRFymRzToqeKHUU0aoUaC61z0d7XgbLGQ2LHISIRscBJEvr9XlzqvIx0Uyq0So3YcUQ1xZiCZIMVJZc+5lA60STGAidJuNR1GT7Bjxmx08SOIjqZTIaF1nkQBODNqj2cZpVokmKBU9gTBAFV7TVI0MYhThsrdpywYFQZUDj1VpxurcBJxxmx4xCRCFjgFPaae2zo9vYgi3vfQyxNXYJUYzLerHoHHh+nWSWabFjgFPaqOy9Bo9BgiilF7ChhRSGX44Gce9HV70LxxX1ixyGiCTaiAi8uLsbq1auxcuVK7Nix45rLPfXUU9i1a9fg7d27d2Pp0qVYt24d1q1bh23bto09MU0qbq8HTd3NyIxOh2KSnjp2PelRU3BLagH+3FCOS511YschogmkHG4Bm82Gbdu2YdeuXVCr1diwYQOWLFmC6dOnD1nm2WefRXl5OfLz8we/fubMGTz99NNYu3bt+KSniHexsxYCgGnRGWJHCVtrMwtxwnEGb1S+jf+zaDMUcoXYkYhoAgy7S1NWVob8/HzExMRAr9ejsLAQJSUlQ5YpLi7GHXfcgVWrVg35+unTp7F7924UFRXh7/7u79DZ2Rna9BTRAoKAms5aJOotMKmNYscJWzqlFt+esQ6N3c34qP4vYschogkybIHb7XaYzV9dNMJiscBmsw1Z5pFHHsG3vvWtbzzWbDbjsccew969e5GUlITnn38+BJFpsmjpscHt82BazOSduGWk5ppzkZcwG+9d+gBtHp4bTjQZDDuEHggEhlw0QhCEEV9E4le/+tXg/z/yyCNYsWLFqAOazaZRP0ZKInX7HD1tMJm0Y3qOWlsddEotchIzJmRYWKVSjCrzWLdvrPQGNcyGr94/j+Y/gC3v/xh7L7+Lp27+4ZieO1Lfl1/i9klXJG/baA1b4ImJiThy5MjgbYfDAYvFMuwTu1wuvP3223jooYcADBS/QjH6X8IOh2vUj5EKs9kUudunB1yu3qAf7vZ6UNfRiJy4LLh7vAC8oct2DV6Tf8SZTSbtmLYvFNymfjjcV75/VFg9dQV2V7+L/ec+w1zz7KCeN6Lfl+D2SVkkbxsw+j9Ohh1CLygoQHl5OZxOJzweD0pLS074tpEAACAASURBVLFs2bJhn1iv1+O3v/0tTp48CQB47bXXgtoDp8lp4OA1gQevjdJtqUuRbEjEW1XvoNfXJ3YcIhpHwxa41WrFli1bsHHjRqxfvx5r165FXl4eNm3ahNOnT1/zcQqFAi+99BKee+45rFq1CmfPnsWTTz4Z0vAUmQRBwMWuy7DqzTx4bZQUcgXuz7kH7X0deK/2A7HjENE4GnYIHQCKiopQVFQ05Gvbt2//xnIvvvjikNuLFi3C7t27xxCPJiOHpw09XjfmxM8SO4okZUZn4KbkG/Bx/UEsSVyIFGOS2JGIaBxwZgwKOxc7L0MpU2KKKVnsKJK1btpq6JU6vHF+FwICrxtOFIlY4BRWfAEf6l2NSItKgVI+ogEiugqDSo97pq/Fpa7LKG86LHYcIhoHLHAKK/WuJvgEH6ZGpYsdRfJuSFyArJhM7Kl5D67+brHjEFGIscAprFzqugyjygCzLl7sKJInk8mwIfse9Pn7sbv6XbHjEFGIscApbPR43bC5HZgalTbiyYLo+hINFqxIvxWftxxFVXu12HGIKIRY4BQ2LnVeBgBkRKeJnCSyFKbfjgRtHP5YuRvegE/sOEQUIixwCguCIOBSVx0sejOMKoPYcSKKWqHCt7Pvhs3twP7LB8SOQ0QhwgKnsNDqaUO3tweZUdz7Hg+z47OxwJKHkssfwu5uFTsOEYUAC5zCwsWuL8/9ThE7SsS6N6sISpkCb1btgSAIYschojFigZPofAEf6lyNmGJK5rnf4yhGE42izDtR4azCMfspseMQ0RixwEl09a4m+AI+ZEbz3O/xtiz1RqSZUvD2hb3w+DxixyGiMWCBk+guddXBoNLDrEsQO0rEk8vk2JB9D7r6u1F8sVTsOEQ0BixwEtXAud92TI1K57nfEyQ9agqWpd6IPzeU4XJXvdhxiChILHASVW1XHQBgKo8+n1BFmYUwqY34YyUvdkIkVSxwEo0gCLjUWQeLLgFGNc/9nkg6pQ73ZRWhztWIPzeWix2HiILAAifRtPW2w+Xt5sxrIllgmYuZcTNQXFOCjr5OseMQ0SixwEk0tV11kMvkmGLkud9ikMlk+PaM9fAJfuy68Cex4xDRKLHASRQBIYA6VyNSDElQK1Rix5m0LPoE3Jl+O47a/3/27js+qjpRH/8zNZNJLzPphAChJ7TQOwIBDC3qKnBBr8qKZVHuVxTLiroq7q6/ZVfFXXW9etdFF5SaFQGlCBIEEiH0EiA9mUx6JpMy5fz+QLJGSsrM5MyZPO/Xy5fOzCnPcZJ5cs6ccz5ZOFt+Qew4RNQOLHASRUldKRptjejuHyN2lC5vauwk6LWh2HBxK5psFrHjEFEbscBJFDk1+VDLVYjwCRM7SpenkitxX+9UlNWXY3fuXrHjEFEbscCp01ntVhSaihDjFwWFXCF2HALQJ7gXhocNxe7c/SisKRE7DhG1AQucOl2BqRhWwYbuvPbbraTG3wm1Qo2/Z37OwU6IJIAFTp0utyYPWqU3dN4hYkehn/FX+2Fuz5k4U3oRxwzHxY5DRK1ggVOnarA2oLiuFLH+Mbx1qhsaGzkC8SFx2HQpDXUWs9hxiOg2WODUqfJqCyFA4Nnnbkouk2PpsIUwW+ux7fLXYschottggVOnyqnJR6BXAAK9AsSOQrfQPSgak6LH4lDREVypzhE7DhHdAgucOk1tkwnlDRWI9ePet7u7M24aAr0C8Pn5zbDZbWLHIaKbYIFTp7k+dGWsf7TISag1GqUG9/Sei6K6Euwr+F7sOER0Eyxw6hSCICCnNh9671D4qLRix6E2GBQ6AAND+uGrq9+goqFS7DhE9AsscOoUlY1VqG0yIZYnr0nGtcFO5kIQBHxxcbvYcYjoF1jg1ClyavIhl8nRzY8jj0lJiHcwZnWfipNlZ3C67JzYcYjoZ1jg5HJ2QUBuTT4ifcKhVqjFjkPtNKXbeIRpdfji0nZYONgJkdtggZPLGcylaODIY5KllCvxq97zUFZfjm/zDogdh4h+wgInl8utyYdKrkSkT7jYUaiD+gbHY4guAbty96C8vkLsOEQEFji5mNVuQz5HHvMId8XPhgwybLqUJnYUIgILnFysqK4YVruVN2/xAEGaQMzsPhVZZWdwpvy82HGIujwWOLlUTk0+vBUa6LU6saOQE0zpNh56bSi+uLgNFrtV7DhEXRoLnFym0daEYlMJuvlHQ86RxzyCUq7Er+LnwVhfjj1534kdh6hLY4GTy+TXFsLOkcc8Tr+Q3hisS8DOnL0or+cd2ojEwgInl8mpyYe/2g9BXoFiRyEnuys+BTIAm7J5QhuRWFjg5BIV9VUw1pch1j8GMh4+9zjBmiDM6H4Hsoyncbb8gthxiLokFji5REbhSQBAd5597rGmdJsAnXcIvryUxiFHiUTAAieXOFaYhVBNMHzVPmJHIRdRyZW4K342DOZSfFeYLnYcoi6HBU5OV2gqRlGtgSOPdQEDQ/qhX3Bv7Lj6DWqbTGLHIepSWODkdMdKjv808li02FHIxWQyGe6On4NGWxPSruwUOw5Rl9KmAk9LS8OsWbMwffp0rF+//pbTPfPMM9i8eXPz46KiIixatAgzZszAo48+irq6OscTk1uzC3ZkGE6gb2gvaJReYsehThDuo8ek6LFILzqG/NpCseMQdRmtFrjBYMDatWvx2WefYevWrdiwYQOys7NvmGbZsmXYtWtXi+dfeeUVLFy4EDt37sTAgQPx3nvvOTc9uZ3LVTmobKzC8KhEsaNQJ5rZfSp8VFp8cXEbBEEQOw5Rl9Bqgaenp2PUqFEIDAyEVqtFcnIydu5seagsLS0Nd9xxB2bOnNn8nMViwbFjx5CcnAwASE1NvWE+8jzHDMehlquQGN5P7CjUibQqb8zpMQOXq3OQWZoldhyiLqHVAi8tLYVO95/7WOv1ehgMhhbTPPzww7jnnntaPFdZWQlfX18olUoAgE6nu2E+8ixWuxXHS08iUTeAh8+7oNGRwxHjG4kt2V+hydYkdhwij6dsbQK73d7iRhyCILTpxhw3m64jN/TQ6fzaPY+UeNL2ZRRmwWytx9TeYwEAfn4akRO1j0qlaFdmsbdP66OGzsc1Pz8d/blcOmIBXtr7/+FQWTp+NXC2k1M5jyf93t2MJ2+fJ29be7Va4OHh4cjIyGh+bDQaodfrW11wcHAwamtrYbPZoFAo2jzfLxmNte2eRyp0Oj+P2r5vL6bDV+WDSEU0ABtqaxvEjtQuFr+2Z/bz04i+fWa/JhjNzv/5ceTnMgRhGKYfhG3ndiPRfxBCvIOcnM5xnvZ790uevH2evG1A+/84afUQ+pgxY3D48GFUVFSgvr4eu3fvxoQJE1pdsEqlQlJSEnbs2AEA2Lp1a5vmI2mqtzbgVNlZDNUPgkKuEDsOiWh+rzsByLDl8ldiRyHyaK0WeFhYGFasWIElS5Zg3rx5SElJQWJiIpYuXYpTp07ddt7Vq1dj48aNmDVrFjIyMvDUU085LTi5lyzjaVjsVgwPHyJ2FBJZkCYQ02Mn4XjpSVyuyhE7DpHHkglufs2Hpx8u8ZTte+f4hzDWl+OV0c9eO9dB24TvL/0odqx2SYjsjVNFF9s0rTscQh8aORBama/Tl+uMn8tGWxNe/eGPCPDyx9PDHodc5j73jPKk37ub8eTt8+RtA1xwCJ2oNdWNtbhQmY3hYYM58hgBALwUaszpMQO5NfnINPCyMiJXYIGTwzJLT0CAwMPn1MLw8CGI8YvCtstfo8lmETsOkcdhgZPDjpUcR4xvJMJ9wsSOQm5ELpPjrl4pqGyswt78g2LHIfI4LHByiMFsRF5tAZK49003ER/UE4N0A7E7dy+qGz33u0siMbDAySHHSo5DBhmSwgaLHYXc1LyeM2G12/DV1V2tT0xEbcYCpw4TBAEZhuOID+qJQK8AseOQm9JrdZgYPQbpRcdQaCoWOw6Rx2CBU4ddrcmFsb4cI8J4+Jxub2b3O6BVemPTpTSOVkbkJCxw6rAfijOglqswRJ8gdhRyc1qVFjPjpuJCZTbOlJ8XOw6RR2CBU4c02SzINJzEEH0iNEppDVpC4pgQNRp6bSg2Z38Fm90mdhwiyWOBU4ecNJ5Gg60BI8OHiR2FJEIhV2B+zzthMJfi+6IjYschkjwWOHXIDyWZCPIKRHxQD7GjkIQkhPZH78Ce+Orqbpgt9WLHIZI0Fji1W1VjNc5XXMKoiGFudY9rcn8ymQyp8bNhttRjZ+4eseMQSRo/fandjhb/CAECRvDwOXVAjF8kRkUk4bv8QzCay8WOQyRZSrEDkLQIgoAfSjLQM6A79NpQseN0aTIFYLaZnL5cY10TzEKT05cLXBvkRGFXI6XHdGSWZmHr5R1YmrDYJesi8nQscGqXnJp8GMxGTO07UewoXV6TranNw5+2hyuHSr02BKoagV4BmN5tEv59dTeyq66iV2CcS9ZH5Ml4CJ3a5YeSDKjkKgzRJ4odhSTujm4TEOgVgE2X0mAX7GLHIZIcFji1mcVmQabhBAbrBsKb136Tg9Q/jRmeV1uADMMJseMQSQ4LnNrsZNkZ1FsbMCoiSewo5CGGhw9Bt+Yxw13zvTuRp2KBU5v9UJKJQK8A9A7qKXYU8hBymRypvWajqrEae/I4ZjhRe7DAqU2qGqtxrvwiRobz2m9yrvigHhisG4jdeftQ3VgjdhwiyeAnMbXJsZLjECBgZASv/Sbnm9fzTtjsNqRd4ZjhRG3FAqdWXbv2OxNx/rEI0+rEjkMeSKcNwaTosfihOAP5tUVixyGSBBY4tSqvtgAldQaM4t43udCM7ndAq/LG5ux/c8xwojZggVOrDhUdhUquwlD9ILGjkAfTqrwxK24aLlZm43T5ObHjELk9FjjdVoO1ERmG4xiqT4RW5S12HPJw4yNHIUyrx+bsf3PMcKJWsMDptn4szUKjrQljI0eKHYW6AIVcgdRed6LUXIaDhT+IHYfIrbHA6ba+LzqCcJ8w9AiIFTsKdREDQvqib1A8dlz9BmaLWew4RG6LBU63VGgqRm5NPsZGjoBMJhM7DnUR18YMT4HZWo+vczhmONGtsMDplg4VHYFSpsCI8KFiR6EuJso3AqMjhuO7gnSUmo1ixyFySyxwuqkmWxOOlhzHYH0CfFU+YsehLiilRzIUcgW2Xv5a7ChEbokFTjd1vPQU6q31PHmNRBPg5Yfk2MnIMp7GpcrLYschcjsscLqpg4U/QO8divjAHmJHoS5sSswEBHkFcsxwoptggdMN8msLcbUmF+OjR/PkNRKVWqHCvF6zkG8qwqGio2LHIXIrLHC6wYGCw1DJVRgVzlunkviG6QchPrAH0i7vhMlSJ3YcIrfBAqcWzJZ6HDMcx/CwIdCqtGLHIYJMJsOves9Dva0BaZd3ih2HyG0oxQ5A7uVISSYsdgsmRI8WOwp5IJkCMNtM7Z4v0McXY6OG4/uCIxgWmYBov8gOZzDWNcEsNLVpWi+FGgq7usPrInIlFjg1swt2HChMR5x/LGL8osSOQx6oydaEU0UXOzSvXqOHWuGFf57ejGndJnb4/Aw/Pw1qaxvaNO3QyIHQyljg5J54CJ2aXay8jFJzGfe+yS2pFSoM1g1EeUMFrtbkiR2HSHQscGp2oCAdviofDNEliB2F6Kbi/LshVBOME8bTaLK17TA4kadigRMAoKy+HCfLzmJs5EioFCqx4xDdlEwmw7CwwWi0NeJUGccMp66NBU4AgP35hyCTyXj4nNxesCYQvQLjcKnqMiobqsWOQyQaFjih3tqAw8XHMEw/CIFeAWLHIWpVYugAqBRqZJaegCAIYschEgULnHC46CgabI2YEjNe7ChEbeKlUGNQ6AAY68uRwxPaqItigXdxdsGO/QWH0DMgDt38o8WOQ9RmPQO6I1QTjB+Np9BgbRQ7DlGnY4F3cVnGMyhvqMSUbtz7JmmRyWQYET4UVpsFx40nxY5D1OnaVOBpaWmYNWsWpk+fjvXr19/w+rlz55Camork5GS88MILsFqtAIAtW7Zg3LhxmDt3LubOnYu1a9c6Nz05bG/+QYRogpEY2l/sKETtFuDlj34hfZBTk4/iOoPYcYg6VasFbjAYsHbtWnz22WfYunUrNmzYgOzs7BbTrFy5Ei+99BJ27doFQRCwceNGAMDp06exatUqbNu2Ddu2bcOKFStcsxXUIVeqc3ClOgeTY8ZBLuPBGJKmAcF94Kf2xTHDcVjtVrHjEHWaVj+109PTMWrUKAQGBkKr1SI5ORk7d/5nQIHCwkI0NDRg8ODBAIDU1NTm10+dOoUtW7Zg9uzZePrpp1FdzUs+3Mnu3H3wUWkxJnKE2FGIOkwhV2BE2FDUWcw4WXZW7DhEnabVAi8tLYVOp2t+rNfrYTAYbvm6Tqdrfl2n0+Gxxx7D9u3bERERgVdffdWZ2ckBRaYSnCo7h0nRY+Gl4L2eSdr02lDEB/bAhcpslJrLxI5D1ClaHczEbre3GDRAEIQWj2/3+rp165qff/jhhzFt2rR2B9Tp/No9j5SItX3/uvwlvJReuGtQMny9fJy+fGNdOfz8NE5friupVIp2ZRZ7+9qbtz1ctVxXZh6nTYLhbCmOGjJx94BZt72jYFszaH3U0PlI7zPIkz83PXnb2qvVAg8PD0dGRkbzY6PRCL1e3+J1o9HY/LisrAx6vR61tbXYtGkTHnjgAQDXil2hULQ7oNFY2+55pEKn8xNl+8rqK3AoLwOToseivsaOergggxZtHvHJXVj8bG3O3J4RrVylPXnbw5Xb5qrM143QD8W3+Qdw8EoGhocPuek07dk+s18TjGZpfQaJ9bnSGTx524D2/3HS6iH0MWPG4PDhw6ioqEB9fT12796NCRMmNL8eFRUFLy8vZGZmAgC2bduGCRMmQKvV4u9//zuysrIAAP/85z87tAdOzrcn7zvIIMMd3Sa0PjGRhOi0oegbFI/s6qs8K508XqsFHhYWhhUrVmDJkiWYN28eUlJSkJiYiKVLl+LUqVMAgLfeegtr1qzBjBkzYDabsWTJEigUCvz5z3/Gyy+/jJkzZ+LMmTNYuXKlyzeIbq+mqRaHi49hZPhQ3jaVPFJiaH/4q/1wpDiTN3ghj9bqIXQAmD17NmbPnt3iuQ8//LD5v/v27Ysvv/zyhvmSkpKwZcsWByOSM32Tux82wY5psZPEjkLkEgq5AmMihmN33n4cKcnAhKgxLc7TIfIUvPi3C6lqrMbBwsMYET4Ueq2u9RmIJCpIE4ghugQU1RlwoTK79RmIJIgF3oXs/mnve2b3O8SOQuRy8YE9EO0bgSzjaVQ0VIodh8jpWOBdRGVDFQ4V/oDREUkI9Q4ROw6Ry127V/owaJQaHCo6iiZbk9iRiJyKBd5F7MrdBwFAciz3vqnr8FKoMTZyBMwWMw4VHYWdY4eTB2nTSWwkbeX1lUgvOooxkSMQ4h0kdhyiThXqHYKksME4ajiOk2VnMN4/qc3zyhSA2WZyYTrnMzVxv6yrYIF3Af++ugsymQzJsZPFjkIkip6BcahorMK5iouICAxFmCq8TfM12Zpwquiii9M51zifoQB4e+SugH+qebi82gIcLfkRU2LGI0gTKHYcItEM1Q+CzjsE3+UcQVl9hdhxiBzGAvdggiBgy6Wv4KvywXRe901dnEImx7jIkfBReeO7gnRUN9aIHYnIISxwD3am/DwuVl3GzLip8FZ6ix2HSHQapQazek+BXCbD/oJDMFvqxY5E1GEscA9ls9uw5fIO6L1DMT5ylNhxiNyGv5cvJkaPRZPdgv0Fh9Bo4+1WSZpY4B4qvfgYSuoMmNtrFhTy9o8CR+TJgjWBGB85CrUWE/bkHUSDVVoj5xEBLHCPZGqqQ9rlnegVGIdBoQPEjkPklsJ99JgYNQYmSx325B+E2crD6SQtLHAPtO3y16i3NeDe3vM5iAPRbYT76DEpeizMlnrsyTsAk6VO7EhEbcYC9zBXq3ORXnwUk2PGIdK3bde6EnVlem0oJseMQ6OtCbtz96HUXCZ2JKI2YYF7EJvdhn9d2IJArwDM6j5N7DhEkhHqHYzpsZOgVqixN/8gsquuih2JqFUscA9ysPAHFJiKcFf8bGiUXmLHIZIUf7UfpnebhHAfPY4ZjuNISSYarDxDndwXC9xDlNVXYNuVr9EvuDeG6BLEjkMkSWqFGhOixqB/cB9crc7F20c/QkldqdixiG6KBe4B7IId6899ATlkWNDnLp64RuQAuUyGQboBmNptEpQKJfYVfI+jJT+inmepk5thgXuAg4U/4GLVZaTGp3C0MSInCfUOxm+S/ht9g+JxpToXaVd2I8t4muOKk9vgaGQSZzSXY2v2V+gX3BtjIkaIHYfIo6gUKgzRJ6BXYBxOlZ3D2YqLuFR1Bd39u6FnQHcOEESiYoFLmF2w49NzG6GQK7Co7908dE7kIn5qX4yJHI5+DfE4X3kJl6tzcKnqCoI1QYj2jUC4Vo8gTRDknfA7KAhCi8f8ve+6WOAStuPqN7hcfRVL+t3LPQGiThCkCcToiOEYqh+EnJo85FTn4WTZWZzEWagVagR7BSLAyx8Baj9oVVp4KbygUaihlKsgkwEyyCAIAix2Kyx2y8/+bYHFZkGjzYImexMabY1oslnQaGtCk60JFrsFVrsVVsEGu2BvkUkpU0ApV0IlV8FbqUG26TKClMHQe4ciyjcC4T5hUCtUIv0fI1digUvUuYqL2JmzF6PCkzAyYpjYcYi6FC+FGn2CeqFPUC80WBtRYi6FwVyKqoZqZFddhU2wdXjZcpkcXnI11Ao1vBRq+Kl9oZKroJRfK2qFTA7g2l63AOFasdutaLJbUG9twOWKXFQ1nGouehlkiPAJQ6/AOPQK7IH4oB7wV/s5438DiYwFLkFVjdX45MznCPfR494+88SOQ9SlaZRe6O4fg+7+MQCuHeKus5hhttaj0daIRlsTrHYrrh34FgDIoPppj1klV0KlUDU/VivUUMoUDh0WHxc/FPY6JYzmMhTWlaDIVIKcmjwcKcnEgcLDAIDu/t2QENofiaH9ecdGCWOBS4zNbsMnZz5Hk60JDw38L6gVarEjEdHPyGQy+Kp94Kv2ES2DXCZHmI8eYT56DNUnArj22VFgKsK5ios4WXYWaVd2Iu3KTkT6hGNkxDAkhQ1GoFeAaJmp/VjgEiIIAr68tB2Xqq5gSb97EeETJnYkIpIIhVyBWP8YxPrHYEb3O1DdWIMTxtM4WvIjtmR/ha3ZOzAwtC8mRI1B3+B4yGW8ytjdscAlZH/BIRwoPIyp3Sbye28ickiAlz8mRo/BxOgxMJiNOFKcifSiozhV9hFCvUMwOXocxkQO51E+N8YCl4jTZeew6VIaBoUOwNyeM8WOQ0QeJEyrw5yeMzArbipOGE/ju4JD+OLSNnyd8y0mRY/DxOjR0Kq0YsekX2CBS0B+bSH+98x6RPtG4P4BC3hoi4hcQilXIilsMJLCBiO76iq+yd2Hf1/dhW/y9mFc1ChMiRnP78ndCAvczRWZSvDOiQ+hVWqxbNB/w4uHs4ioE1y77CwOhaZifJO7H/vyv8d3+YcwMiIJybGTEeIdLHbELo8F7sYMZiPePvEBlDIFlg/5Nf/yJaJOF+UbgQcGLEBKj+n4Nu8ADhcfw+HiYxgdkYTk2CkschGxwN1UWX053j7+AQRBwPKhj0CvDRU7EhF1YaHeIbivz3zM6D4Fu3P34VDhERwuzsDoiOE/FTkHUupsLHA3lF9bhPeyPoLNbsOTQx9BOC8XIyI3EegVgF/1nodp3SZhd+5+pBcdwQ/FGRgdkYTpLPJOxQJ3MxcqsvHBqf+Dt9Iby4f9mtd6E5FbCtIE4t4+8zA99j9FfvinIk/uPgXBGha5q7HA3cixkuP49NxG6LWheHzQQxyghIjcXssi34f0oqPXijxyOJJjJ7PIXYgF7gasdiu2Zu/AvoLv0TMgDssS7+c1l0QkKdeKfD6mx07GrutFXnQMoyOHY0bsFO6QuAALXGRVjdX46PQ/caU6F5Ojx2F+rzuhkCvEjkVE1CFBmkDc12c+psdOwq7cfThcdAyHi45hTOQIJMdOZpE7EQtcJIIgID0vA3/P+Bea7BY8OGAhhoUNFjsWEZFTBGuCsKBPKpJb7JEfxaiIJEyOGY9wH73YESWPBS6C6sZabLi4BVnG04j1i8GS/r/imeZE5JGuF/n0bpOxK3cvfijOwPdFR9AvuDcmx4xDv+DevLtkB7HAO5HVbsWBwsP4+uq3aLJbsChxPkYGj+AhcyLyeCHeQVjY9y7M7pGM7wt/wIHCw3gv638RptVhUvRYjAgfBo3SS+yYksIC7wSCICDLeBpbL++Asb4cfYPicU/vuUjo3hNGY63Y8YiIOo2f2hcz46ZiWuwk/Fh6Evvyv8eGi1ux/cpODA8bgtERwxHjFwWZTCZ2VLfHAnchm92GzNIsfJv3HQpNxYjwCcNjgx5C/+De/OEkoi5NKVdiRPhQDA8bgqs1efiu4BDSi4/hQOFhRPlGYET4UAzVJ/IytNtggbtAdWMtjpZk4kDhYVQ0VCLcJwyL+/0Kw8OG8HA5EdHPyGQy9AiIRY+AWJgtZmQYsvBDcQa2ZH+FLdlfoUdALIboE5EY2h86+Ikd162wwJ2kwdqIsxUXcLTkR5wpPw+7YEfPgDj8qvdcDAjpy5M0iIhaoVVpMSF6NCZEj0apuQw/lp5EpuEENl1Kw6ZLaYg5E4G+gX3QNzgePQO6Q6VQiR1ZVCzwDhIEAcb6MlyovIzTZedwvvISrHYr/NV+uCNmAkZHJCGMl0kQEXWIXhuKGd2nYEb3KTCay3Gq/CzOV1/AnvwD+CZvP1RyJeICuiPOvxti/WPQ3T8GAV7+YsfuVG0q8LS0NPz1r3+F1WrF/fffj0WLFrV4/dy5c3jhhRdQV1eHpKQkvPLKK1AqlSgqKsLKlStRXl6OuLg4vPXWW/DxPQxN6wAAIABJREFU8XHJhrhag7URBaYi5NUWILcmH9lVV1HVWA0ACNEEYULUaCSGDkDPwO7c2yYiciKdNgRTtONx79BZyC8uQ3bVFVyozMalysv4Jm8/7IIdABDkFdhc5hE+YdBrQxGiCfbYry5bLXCDwYC1a9di8+bNUKvVuO+++zBy5Ej06tWreZqVK1fitddew+DBg/H8889j48aNWLhwIV555RUsXLgQd955J9atW4f33nsPK1eudOkGdZTVbkV1Yw2qm2pQ1ViDqsZqVDRUwlBnhMFcioqGKggQAAABan/0CoxDfFBP9A7qCb13KE9KIyLqBBqlFwaG9sPA0H4AgCZbEwpMRcipyUduTT5yavJxwniqeXq5TI5QTTD02lDofir0AC9/+Kv94K/2hb/aD14KL0l+hrda4Onp6Rg1ahQCA6/d/i45ORk7d+7EE088AQAoLCxEQ0MDBg++dhex1NRUvP3227jnnntw7NgxrFu3rvn5//qv/xKlwC02C/blf4/Kxmo02hrRYGtEo7Wx+b9rm0wwWepumE8lVyFcq0NcQCxGRSQhxi8K3fyiu9xhGiIid6VWqNEjoDt6BHRvfs5kqUOp2QiDuQxGcxlKzUaU/vSVp8VuuXEZchX81L7QKDXQKLzgpfCCl9ILGsW1f5RyJWQyGeSQQSaTQy6TQS6TQ6/VYag+sRO3tqVWC7y0tBQ6na75sV6vx8mTJ2/5uk6ng8FgQGVlJXx9faFUKls8315yueN/FTVaG3Gq4gysdhvUChW8FF7QqjUIlPtDrVRDq9Q2/yXm73Xt335qP3grNC7/q8wZ2+eWZHJo1RqxU7SLUq5oc2aN0gs2tYsDtaI9edvDldvmqszt0Z7tc4e87SWXyQFP/VxB2z4z/b184e/li15BcS2etwt21FsbYLKYUNtUB1NTHUyWaztwJksdGm2NaLJa0GhvQoOtHjWWGjRaG2EVbBAEOwRBaD4SC1y7y1xS+CCnb2NbtVrgdru9RYkJgtDi8a1e/+V0ADpUhiEhvu2e54ZlwBdvRjzn8HJcwRnb566S+48XO0K7dQ+NFjtCu0gtLyC9zFLLCwDw4MEMHf/M9AfgGScYt3q2VXh4OIxGY/Njo9EIvV5/y9fLysqg1+sRHByM2tpa2Gy2m85HREREHddqgY8ZMwaHDx9GRUUF6uvrsXv3bkyYMKH59aioKHh5eSEzMxMAsG3bNkyYMAEqlQpJSUnYsWMHAGDr1q0t5iMiIqKOkwmCILQ2UVpaGt5//31YLBbcfffdWLp0KZYuXYrly5cjISEB58+fx4svvgiTyYQBAwZgzZo1UKvVKCwsxKpVq1BeXo6IiAj86U9/QkBAQGdsFxERkUdrU4ETERGRe+EdR4iIiCSIBU5ERCRBLHAiIiIJYoETERFJEAuciIhIgiRR4GfPnsXAgQPFjuF0mZmZuPvuuzF37lzcf//9KCwsFDuSU6SlpWHWrFmYPn061q9fL3Ycp3r33Xdx55134s4778Qf/vAHseO4xO9//3usWrVK7BhOt3fvXqSmpmLmzJl47bXXxI7jdNu2bWv+2fz9738vdhynMJlMSElJQUFBAYBrY3PMnj0b06dPx9q1a0VO57hfbt+GDRuQkpKC2bNn47nnnkNTU9PtFyC4ObPZLNx3331C7969xY7idJMnTxbOnTsnCIIgfPHFF8KyZctETuS4kpISYfLkyUJlZaVQV1cnzJ49W7h06ZLYsZzi0KFDwr333is0NjYKTU1NwpIlS4Tdu3eLHcup0tPThZEjRwrPPvus2FGcKi8vTxg3bpxQXFwsNDU1CQsWLBD2798vdiynMZvNwvDhw4Xy8nLBYrEId999t3Do0CGxYznkxIkTQkpKijBgwAAhPz9fqK+vFyZOnCjk5eUJFotFePDBByX9Hv5y+65cuSJMmzZNqK2tFex2u/DMM88IH3/88W2X4fZ74G+++Sbuv/9+sWM4XVNTE5588kn07dsXANCnTx8UFxeLnMpxPx+9TqvVNo9e5wl0Oh1WrVoFtVoNlUqFnj17oqioSOxYTlNVVYW1a9di2bJlYkdxum+++QazZs1CeHg4VCoV1q5di0GDxBuEwtlsNhvsdjvq6+thtVphtVrh5eUldiyHbNy4EatXr26+BffJkycRGxuLmJgYKJVKzJ49W9KfLb/cPrVajdWrV8PX1xcymQy9e/du9fOl1cFMxLRnzx40NDRgxowZYkdxOrVajblz5wK4NiDMu+++i6lTp4qcynGtjV4nZfHx8c3/nZOTg6+//hqff/65iImc66WXXsKKFSs84g/JX8rNzYVKpcKyZctQXFyMSZMm4amnnhI7ltP4+vriySefxMyZM+Ht7Y3hw4dj6NChYsdyyOuvv97i8c0+WzoywqW7+OX2RUVFISoqCgBQUVGB9evXY82aNbddhlsU+Ndff31D0B49esBkMuGTTz4RJ5QT3Wr7PvnkEzQ1NWHVqlWwWq145JFHREroPK2NXucJLl26hEceeQTPPPMMunfvLnYcp/jiiy8QERGB0aNHY/PmzWLHcTqbzYaMjAx8+umn0Gq1ePTRR7FlyxakpqaKHc0pzp8/j02bNmHfvn3w8/PD008/jY8++ggPP/yw2NGcpit8tgCAwWDAww8/jLvuugsjR4687bRuUeAzZ87EzJkzWzz3xRdf4P3338eiRYuan5s7dy7Wr18PX19pDcF5s+0DgLq6Ojz66KMIDAzEX//6V6hUKhHSOVd4eDgyMjKaH3vaKHSZmZlYvnw5nn/+edx5551ix3GaHTt2wGg0Yu7cuaiurobZbMYbb7yB559/XuxoThEaGorRo0cjODgYADB16lScPHnSYwr8+++/x+jRoxESEgIASE1NxWeffeZRBd7ayJie4PLly3j44YexePFiPPjgg63P0Blf1juDJ57E9uijjwovvviiYLPZxI7iNNdPYisvLxfMZrMwZ84cISsrS+xYTlFUVCSMHDlSSE9PFzuKS23atMnjTmI7ceKEkJycLFRXVwtWq1V45JFHhI0bN4ody2kOHjwozJkzR6irqxPsdrvw29/+Vnj77bfFjuUUkydPFvLz84WGhgZhwoQJQk5OjmC1WoWHHnpI2LFjh9jxHHZ9+2pra4WJEycKW7ZsafO8brEH3hWdPXsWe/bsQa9evTB//nwA177T+fDDD0VO5piwsDCsWLECS5YsaR69LjExUexYTvHRRx+hsbERb775ZvNz9913HxYsWCBiKmqLQYMG4eGHH8bChQthsVgwduxY3HXXXWLHcppx48bh7NmzSE1NhUqlQkJCAn7961+LHcupvLy88Oabb+I3v/kNGhsbMXHiRI86P+rLL79EWVkZPv74Y3z88ccAgClTpuDJJ5+85TwcjYyIiEiC3P4yMiIiIroRC5yIiEiCWOBEREQSxAInIiKSIBY4ERGRBLHAiYiIJIgFTkREJEEscCIiIgligRMREUkQC5yIiEiCWOBEREQSxAInIiKSIBY4ERGRBLHAiYiIJIgFTkREJEEscCIiIgligRMREUkQC5yIiEiCWOBEREQSxAInIiKSIBY4ERGRBLHAiYiIJIgFTkREJEEscCIiIgligVOXVlBQgH79+mHu3LnN/8yZMwdffvllq/O+8MILSE9Pd2m+zZs3Y9iwYc3ZZs+ejWXLluH06dPN0yxduhTZ2dm3Xc6DDz6IioqKm752ff4jR44gJSWl3Rm/+OILrF+/HgDw+eef44MPPmj3MtqruLgYKSkpmDt3Lo4fP37baYcMGYKCgoLbTnPy5Em89NJLzoxI5HJKsQMQiU2j0WDbtm3Njw0GA1JSUjBw4ED07dv3lvO9/vrrnREPSUlJeP/995sfp6en4+GHH8amTZsQFRWFDz/8sNVlHDp06JavXZ+/vLy8Q/kyMzMRHx8PAFiwYEGHltFeR44cQWhoKD755BOnLC87OxsGg8EpyyLqLCxwol8ICwtDbGwscnJy0LdvX6xbtw5fffUVFAoF4uLi8Nvf/hY6nQ6LFy/GokWLMHXqVPzud7/Djz/+CJVKhejoaKxZswY+Pj749ttv8e6778Jut8PHxwfPPfccEhMT8c4776CwsBBGoxGFhYUICwvDH//4R+j1+lbzjRkzBtOmTcPnn3+Op59+GlOmTMFf/vIX9OjRA8899xxyc3Mhl8sxYMAAvPrqq3jhhRcAAPfffz8++OADLFq0CImJibhw4QL+53/+B2vWrMFf/vIXAIDZbMby5cuRm5sLf39/vPrqq4iLi8OqVasQHx+Phx56CACaH3fr1g179+7FoUOHoNFoUFFRgcrKSrz00ku4dOkSXn31VVRVVUEmk+HBBx/EvHnzcOTIEaxduxYxMTG4dOkSrFYrXnnlFQwbNuyGbd2wYQM+/fRTyOVyhIaG4re//S0MBgP+/Oc/o7a2FosXL8ann37aYp6MjAz87ne/g0wmQ0JCAux2OwDAbrfjjTfeQFZWFurq6iAIAl577TVERkbi7bffRm1tLZ577jm8/vrrN53uZvmIxMRD6ES/cPz4ceTl5WHQoEHYtGkTDh48iC+//BJpaWmIj4/HqlWrWkx/4sQJHD16FNu3b8fmzZsRExODCxcu4PLly1i9ejXeeecdbN++HcuXL8djjz0Gk8kE4FrR/OUvf8HOnTvh7e2Nf/3rX23O2LdvX1y8eLHFc9988w3q6uqwbdu25q8A8vPzsWbNGgDA//3f/yEiIgIAEB8fj6+//hrTpk1rsYzi4mI88MAD2LZtG1JSUvDMM8/cNse0adMwZcoUPPDAA1i0aFHz81arFY8++igWL16MtLQ0fPjhh/jTn/7UfLj75MmTePDBB7F161akpqZi7dq1Nyz78OHD+Pvf/45//OMf2L59O1JSUvD4449j5MiRWL58OZKSkm4o76amJjz55JNYtWoVtm7dipEjR6KhoQEAkJWVhdLSUmzYsAE7duzA/Pnz8eGHHyIiIqJ5eWvWrLnldETuhnvg1OU1NDRg7ty5AACbzYagoCD88Y9/REREBA4cOIDU1FRotVoAwJIlS/C3v/0NTU1NzfP37t0bCoUC99xzD8aNG4fk5GQkJiZi/fr1GDVqFGJiYgAAo0ePRnBwcPP31yNGjICvry8AoH///qiurm5Xbo1G0+LxsGHDsHbtWixevBhjxozB/fffj9jY2JvOm5SUdNPn+/Tpg6FDhwIA5s+fj5dffhm1tbXtygUAOTk5aGxsxPTp0wFcO6oxffp0HDx4ECNHjkRkZCT69esH4Nq2b9my5YZlHDx4ELNmzUJwcDAAIDU1Fa+//vptv8++ePEilEolRo8eDQBISUlp/m57yJAhCAgIwL/+9S/k5+fjyJEj8PHxuWEZbZ2OSGzcA6cu7/p34Nu2bcO///1vfPrpp5g4cSKAa4ddZTJZ87R2ux1Wq7XF/P7+/ti2bRueffZZKBQKPPXUU1i/fv0N8wKAIAjN8/+8gGUyGQRBaHPm06dPo3fv3i2ei4mJwTfffINf//rXMJlM+O///m/s3bv3pvNf/4Pkl+Tylh8JMpkMSqXyhnwWi+W2+Ww2m8Pbfv3Q962WcSu/XJZSeW0/Zf/+/XjkkUcAAHfcccctv69v63REYmOBE93G+PHjsWnTJpjNZgDAp59+iuHDh0OtVjdPs2/fPjzwwAMYMmQIfvOb32DevHk4ffo0Ro8eje+//x75+fkArh0SLi4uxqBBgxzK9N1332H//v249957Wzz/2Wef4bnnnsO4ceOwcuVKjBs3DmfPngUAKBSKVosPAC5cuIBz584BuPb987Bhw+Dt7Y2goKDmIwcGgwFHjx5tnudmy+7RoweUSiV2797dPM+uXbswZsyYNm/n+PHjsWPHjuaz5zdt2oTAwMBbHlUArh1BEAQB3333HQBgz549zUc2Dh06hMmTJ2PhwoUYOHAgvv32W9hsthu24XbTEbkTHkInuo27774bxcXFuOeee2C32xEbG4u33nqrxTQTJkzAgQMHkJKSAq1Wi4CAAPzud79DdHQ0Vq9ejSeeeAI2mw0ajQZ/+9vf4Ofn164MGRkZzYf4ZTIZ9Ho9PvroI+h0uhbTzZs3D0ePHsWsWbPg7e2NiIgILF68GAAwY8YMLF68GO+8885t19WjRw+8++67yM/PR0hICN58800AwOLFi/H0008jOTkZ0dHRGDVqVIvtvz7ddSqVCu+99x5ee+01vPPOO7DZbHj88ccxatQoHDlypE3bPXbsWDzwwAO4//77YbfbERwcjPfff/+GowS/XO+6devw8ssv409/+hP69euHkJAQAMB9992H//f//h9mz54Nq9WKsWPHYvfu3bDb7Rg8eDDWrVuHJ554AitWrLjldLdbN1FnkwntOW5HREREboF/ThIREUmQQwVuMpmQkpJy27NC9+/fjylTpjiyGiIiIvqFDhd4VlYWFixYgJycnFtOU1ZWht///vcdXQURERHdQocLfOPGjVi9evVt7xz14osv4oknnujoKoiIiOgWOnwWemv3gf7HP/6B/v37O3zJDBEREd3IJSexXbx4Ebt378Zjjz3misUTERF1eS65Dnznzp0wGo246667YLFYUFpaioULF+Kzzz5r13IqK+tgt3feVW4hIb4oLzd12vroRnwPxMf3QHx8D8Qnxnsgl8sQFNT22/a6pMCXL1+O5cuXA7g23vKSJUvaXd4AYLcLnVrg19dJ4uJ7ID6+B+LjeyA+d38PnHoIfenSpTh16pQzF0lEREQ34dZ3YisvN3XqX0A6nR+MxvaPvETOw/dAfHwPxMf3QHxivAdyuQwhIb5tnp73QiciIkmz2ayorDTCam1qfeI2Ki2V33REPGdQKtUICtJBoXCsglngREQkaZWVRmg0Wvj4hN8wjG1HKZVyWK3OL3BBEFBXV4PKSiNCQyMcWhbvhU5ERJJmtTbBx8ffaeXtSjKZDD4+/k45WsACJyIiyZNCeV/nrKwscCIiIgnid+BERORZ7IDFYnNoETaL/YaroFQqhVvt9rLAiYjIo1gsNlw6Z3BoGXL5jWehx/cLg8pL4dBynYkFTkRE5CRffPEvfPXVdgBAY2MDiooKsXnzVwgJCXX6uljg5FbqzU2wNDp26Ets7naYjYg6zz333Id77rkPgiDghReewezZ81xS3gALnNxMY4PV4UNfYnO3w2xE1Pn+/ve/QaVSYuHCJS5bBwuciIjIifbt+xaHDh3E3/72vy5dDwuciIjISS5duoB33/0z3nnnfWg0GpeuiwVORETkJO+99zZsNhtefPHZ5rPYV6xYiUGDhjh9XSxwIiLyKCqVAvH9whxahlwuu/l14K1Yu3adQ+ttDxY4ERF5FjkcPpHUVYOZOBMvdiEiIpIgFjgREZEEscCJiEjyBEFofSI34aysLHAiIpI0pVKNuroaSZS4IAioq6uBUql2eFk8iY2IiCQtKEiHykojTKYqpy3zZoOZOItSqUZQkM7x5TghCxERkWgUCiVCQyOcukydzg9GY61Tl+lsPIROREQkQSxwIiIiCWKBExERSRALnIiISIJY4ERERBLEAiciIpIgFjgREZEEscCJiIgkiAVOREQkQSxwIiIiCWKBExERSZDDBW4ymZCSkoKCgoIbXvv2228xd+5czJkzB4899hiqq6sdXR0RERHBwQLPysrCggULkJOTc8NrJpMJL7/8Mj744ANs374dffr0wTvvvOPI6oiIiOgnDhX4xo0bsXr1auj1+htes1gsWL16NcLCwgAAffr0QXFxsSOrIyIiop84NJzo66+/fsvXgoKCMG3aNABAQ0MDPvjgAyxevLhdyw8J8XUkXofodH6dvk76j6oKM3x9NWLHcIhWq0ZgsFbsGA7h74H4+B6Iz93fA5ePB15bW4vHH38cffv2xfz589s1b3m5CXa74KJkN5LC+K+eTqVQwGRqEDuGQ8zmJlhsNrFjdBh/D8TH90B8YrwHcrmsXTuuLj0LvbS0FAsXLkSfPn1uu7dORERE7eOyPXCbzYZly5Zh5syZeOyxx1y1GiIioi7J6QW+dOlSLF++HCUlJTh79ixsNht27doFABg4cCD3xImIiJzAKQW+d+/e5v/+8MMPAQAJCQk4f/68MxZPREREv8A7sREREUkQC5yIiEiCWOBEREQSxAInIiKSIBY4ERGRBLHAiYiIJIgFTkREJEEscCIiIgligRMREUkQC5yIiEiCWOBEREQSxAInIiKSIBY4ERGRBLHAiYiIJIgFTkREJEEscCIiIgligRMREUkQC5yIiEiCWOBEREQSxAInIiKSIBY4ERGRBLHAiYiIJIgFTkREJEEscCIiIgligRMREUkQC5yIiEiCWOBEREQSxAInIiKSIBY4ERGRBLHAiYiIJIgFTkREJEEOF7jJZEJKSgoKCgpueO3cuXNITU1FcnIyXnjhBVitVkdXR0RERHCwwLOysrBgwQLk5OTc9PWVK1fipZdewq5duyAIAjZu3OjI6oiIiOgnDhX4xo0bsXr1auj1+hteKywsRENDAwYPHgwASE1Nxc6dOx1ZHREREf1E6cjMr7/++i1fKy0thU6na36s0+lgMBgcWR0RERH9xKECvx273Q6ZTNb8WBCEFo/bIiTE19mxWqXT+XX6Ouk/qirM8PXViB3DIVqtGoHBWrFjOIS/B+LjeyA+d38PXFbg4eHhMBqNzY/Lyspueqj9dsrLTbDbBWdHuyWdzg9GY22nrY9upFIoYDI1iB3DIWZzEyw2m9gxOoy/B+LjeyA+Md4DuVzWrh1Xl11GFhUVBS8vL2RmZgIAtm3bhgkTJrhqdURERF2K0wt86dKlOHXqFADgrbfewpo1azBjxgyYzWYsWbLE2asjIiLqkmSCIHTeMep24iH0rkelUCArM1/sGA6J7xcGlZdC7Bgdxt8D8fE9EF+XPoRORERErsMCJyIikiAWOBERkQSxwImIiCSIBU5ERCRBLHAiIiIJYoETERFJEAuciIhIgljgREREEsQCJyIikiAWOBERkQSxwImIiCSIBU5ERCRBLHAiIiIJYoETERFJEAuciIhIgljgREREEsQCJyIikiAWOBERkQSxwImIiCSIBU5ERCRBLHAiIiIJYoETERFJEAuciIhIgljgREREEsQCJyIikiAWOBERkQSxwImIiCSIBU5ERCRBLHAiIiIJYoETERFJEAuciIhIghwq8LS0NMyaNQvTp0/H+vXrb3j9zJkzuOuuuzBnzhw88sgjqKmpcWR1RERE9JMOF7jBYMDatWvx2WefYevWrdiwYQOys7NbTPP6669j+fLl2L59O+Li4vDRRx85HJiIiIgcKPD09HSMGjUKgYGB0Gq1SE5Oxs6dO1tMY7fbUVdXBwCor6+HRqNxLC0REREBAJQdnbG0tBQ6na75sV6vx8mTJ1tMs2rVKjz44IN444034O3tjY0bN7ZrHSEhvh2N12E6nV+nr5P+o6rCDF9faf+hp9WqERisFTuGQ/h7ID6+B+Jz9/egwwVut9shk8maHwuC0OJxQ0MDXnjhBXzyySdITEzExx9/jGeffRYffPBBm9dRXm6C3S50NGK76XR+MBprO219dCOVQgGTqUHsGA4xm5tgsdnEjtFh/D0QH98D8YnxHsjlsnbtuHb4EHp4eDiMRmPzY6PRCL1e3/z44sWL8PLyQmJiIgDg3nvvxdGjRzu6OiIiIvqZDhf4mDFjcPjwYVRUVKC+vh67d+/GhAkTml+PjY1FSUkJrly5AgDYs2cPEhISHE9MREREHT+EHhYWhhUrVmDJkiWwWCy4++67kZiYiKVLl2L58uVISEjAmjVr8NRTT0EQBISEhOCNN95wZnYiIqIuSyYIQud9ydxO/A6861EpFMjKzBc7hkPi+4VB5aUQO0aH8fdAfHwPxOfR34ETERGReFjgREREEsQCJyIikiAWOBERkQSxwImIiCSIBU5ERCRBLHAiIiIJ6vCNXIicqaHegtzscjTWW1FSVA2ZXAaNRomgUB/I5bLWF0BE1MWwwEk0giDg4mkDLp0tRWFu1U1v2qNUyaGP8EN4lD/8AqQ9ShkRkTOxwEkUNVX12PvVBRTnV8M/UIPE4dHo0ScUYWH+yPoxH4JdQG1NIwyFNSguqEFRXjWiYgMR1zsECgW/+SEiYoFTpxIEAWeOF+HwviuQy2WYPKsP+iSENQ9Fq1IooFJduw1piE6JEJ0PrBYbcrIrUJhbhcqyOvRNDOfeOBF1eSxw6jSCIODw3ivIOlaAmLggTJrZG77+rRexUqVAr346hOh8cP6UAcd/yEffhHDoI/06ITURkXvisUjqFIIg4PC+a+U9cGgk7vxVQpvK++eCQrVIGtcN/oHeOHeyBKVFHOyBiLouFji5nCAI+GH/VWQdLcCAoZEYN61X8yHz9lKpFEgYFomAIJY4EXVtLHByuZPHCnDiSD4GDInEeAfK+zqFUt6ixI0lJiclJSKSDhY4uVRxQTUO77uCuN6hGD/d8fK+7nqJ+wVocP5UCepMjU5ZLhGRVLDAyWXqzU34ZttZ+AVoMHlWH6eV93UKpRwDhkRAoZDjzI/FsFpsTl0+EZE7Y4GTSwiCgD1p51FvtmD6vP7w0rjmggcvjRL9B4ejvt6C86cMEIQbbwZDROSJWODkEieOFiD/aiXG3tELunDXXu4VGKxFzz6hKC+tQ/7VSpeui4jIXbDAyelqqupx7GAO4uJDMGBIRKesMyo2EKFhvsi5VI66Wn4fTkSejwVOTiUIAg7svgS5XIZx0+Kd/r33rchkMsQP0EGpUuD8KcNN76tORORJWODkVJfPG5F/pRIjxneHr79Xp65brVYivr8OpppGHkonIo/HAienaWyw4tC3lxEa5ouBw6JEyaAL94Mu3Be52TyUTkSejQVOTnP0wFXUm5swcUZvUcfw7tX/2qH0C6d5VjoReS4WODlFVYUZZ46pLlP6AAAgAElEQVQXof/gSOgjxB1kRK1WomffUNRWN6KkoEbULERErsICJ6c4eiAHCqUcSeNixY4CANBH+CEgSIOrF8th4Q1eiMgDscDJYaXFNbh83ohBI2Kg9VGLHQfAtbPSe/XTw2KxIedSudhxiIicjgVODrk+0pjGW4XBI6LFjtOCr78XIrsFoCivGqYantBGRJ6FBU4OKcipRGFuFYaN6Qa1l2tul+qI7r1CoFTJkX2ulCe0EZFHYYFTh13f+/YL0GDAkEix49yUSq1AXO9QVFc2oMxQJ3YcIiKnYYFTh+Vml6PMYELSuFgolO77oxQR5Q+tjxpXL5bxDm1E5DEc+tRNS0vDrFmzMH36dKxfv/6G169cuYLFixdjzpw5eOihh1BdXe3I6siNCIKAzMN58AvQIL6/Xuw4tyWTyxDXJwT1ZgtKCvgzSESeocMFbjAYsHbtWnz22WfYunUrNmzYgOzs7ObXBUHAo48+iqVLl2L79u3o168fPvjgA6eEJvEV5lahtKgWQ0bFQKFw373v60J0PggI8kZOdgWsVrvYcYiIHNbhT9709HSMGjUKgYGB0Gq1SE5Oxs6dO5tfP3PmDLRaLSZMmAAAWLZsGRYtWuR4YnILmem50Pqq0SchXOwobSKTydCjTygsTTYU8D7pROQBOlzgpaWl0Ol0zY/1ej0MBkPz47y8PISGhuL555/H/PnzsXr1ami1WsfSklsoKahGUV41Bo+IhtKNv/v+Jf9ADXThvsjPqURTo1XsOEREDunwdT92u73FUJGCILR4bLVacfToUfzzn/9EQkIC/vznP+PNN9/Em2++2eZ1hIT4djReh+l04t4GVAq+2XYO3loVJkzt7fRLx6oqzPD11Th1mT83YFAkvtt9EcX5NRgw2DVnzmu1agQGS/uPVf4eiI/vgfjc/T3o8KdveHg4MjIymh8bjUbo9f85mUmn0yE2NhYJCQkAgJSUFCxfvrxd6ygvN3XqWcM6nR+MxtpOW58UlRlMyD5XihHju6O6pt7py1cpFDCZGpy+3GYyICzKH7mXKxAW5QeNt8rpqzCbm2CxSff2rfw9EB/fA/GJ8R7I5bJ27bh2+PjnmDFjcPjwYVRUVKC+vh67d+9u/r4bAIYMGYKKigqcP38eALB3714MGDCgo6sjN3HyWAGUKjkGDnPP677bIrZnMAABeVcqxI5CRNRhHd4DDwsLw4oVK7BkyRJYLBbcfffdSExMxNKlS7F8+XIkJCRg3bp1ePHFF1FfX4/w8HD84Q9/cGZ26mR1pkZcOluK/oMj4KVx/p5rZ9F4qxARHYDigmrExAXDWyvdbSGirksmuPH9JXkI3b0cPXAVmel5WPDr4S77jlelUCArM98ly/65xgYrjhzIQViEH/okhDl12fH9wqDyUjh1mZ2Jvwfi43sgPo8+hE5di9Viw5njRegeHyL5E7QAwEujRGRMAEoKa2CuaxI7DhFRu7HAqU0unjGgod6KQcPda8QxR3TrEQS5QobcbH4XTkTSwwKnVgmCgKxjhQgN80VETIDYcZxG7aVEVLdAlBbXoq6Ww40SkbSwwKlVeVcqUFVuxqAR0S2u9fcEMXFBUCjkyOFeOBFJDAucWnU6swhaHzV69tW1PrHEqNQKRHUPRJnBBFMN98KJSDpY4HRb1ZX1yLtSgf6DIyQxaElHxHQPhFIpR86lcrGjEBG1mWd+IpPTnPmxCHK5DP0HR4gdxWWUKgWi44JQbqz7/9u789i4qoNt4M+dO/uMZ/Gs3vcldhaHAElDCS0tWUlJgT+AfqKbUvUrKBLS16oKSLRSURdVoi9UqkrVRVSkb/K+tIHQJgQCtIQEgkMSO46X2PG+jGc8tsczY896vz8cTA1JId7uLM9PMWY8jueJx55nzp1zz0FgYhlXgSMiWkIscLquWCyB1qYRlFXbYcjRyB1nWRWUWKBSiRyFE1HaYIHTdV2+NIpoJJ7Wy6Z+VkqlAkXlVoyPhTE5vvRrvBMRLTUWOF2TJEloOTsEm8OAvMLMOXXsP8kvNkOlFtHdMYYUXqCQiAgAC5yuY2QwAN9oEKs35GfcqWPXI4oKFJfnYnJ8GhN+jsKJKLWxwOmaWj4YglojoqpuadcJT3X5RSZotEr0XOYonIhSGwucPmE6HENXuxc1q91QqdN3U46FUFwdhQcmZuD3heWOQ0R0XSxw+oT25hEkExJWZfCpY/+Ju9AErY6jcCJKbSxwmkeSJFy6MAx3gQk2h0HuOLJQKASUVNgQDEQwNhqSOw4R0TWxwGmeob4JTPqnM3rhls/ClZ8DnV7FUTgRpSwWOM1z6fwwNFplRq57fiMEhYDSShtCwSi8I0G54xARfQILnOaEQ1FcafeherULSlV2TV67FkeeEXqjGj2dY5CSHIUTUWphgdOc9uYRJJMS6rP88PmHBEFAaWUupkMxeIan5I5DRDQPC5wAzE5ea70wgrxCM6z27Jy8di12lxFGkwa9nX4kOQonohTCAicAwGDvBCbHp1G3nqPvfycIAkqrbJiZjmG4f1LuOEREc1jgBOCjyWvlNdk9ee1acu16mHN16O3yIx5PyB2HiAgAoJQ7AMkvHIqiu8OH1RvyoVTyOd3HCYKA8ho7zp3uR3/3BMqqbHJHWlbT4ShikfR+oqJSiRyeUMZjgRPammYnr9U1ZP62oQtlMmvhcBsx0DOO/CIzNNrM/dWJzMRxudUjd4xFqVrlgkrDMykos/E5apabnbw2jPwiM6w2vdxxUlpZlQ1SUkJv15jcUYiIWODZbqBnHIGJGdSt5+j70+gMauQVmTE8EEA4GJU7DhFlORZ4lms5NwytToXyarvcUdJCSWUuRFGBzjYvl1glIlmxwLNYKBhBz2Ufata4IHLy2meiVitRWpmLcV8Yfi83OiEi+fBRO4u1NY1AkpD1G5fcqPxiC/QGFbrafEgmk3LHIaIsxQLPUpIkofX8MApKLLDkcvLajVAoBFTUOjAdjmGwl4u7EJE8WOBZqr97HFOBCEffC5TrMMDmMKC3049oJC53HCLKQizwLHXp3BC0ehXKOHltwSpq7UgmJXS1eeWOQkRZaFEFfuTIEezcuRNbt27FCy+8cN3Pe+utt3DnnXcu5qZoCYWmIujpHEPtGjdEkc/hFkpnUKO4worR4SDGOKGNiFbYgh+9PR4Pnn76aRw4cACHDx/GwYMH0dnZ+YnP8/l8+PnPf76okLS0Wjl5bckUl1uhN6hwuWUUiTgntBHRyllwgZ86dQqbNm2CxWKBXq/Htm3bcOzYsU983hNPPIFHH310USFp6SSTsyuvFZZaYLbq5I6T9hQKBarqXYjMxNHTyRXaiGjlLHhB59HRUTgcH+1c5XQ60dTUNO9znn/+edTV1WHdunULug2bzbjQeAvmcOSs+G2upI5LHgQDEWzfU5+S/9YJfxhGo1buGDfEaNRi3BtGX7cfpRV26PXqtJ7Zn473wcel+30AZP5jUTpI9ftgwQWeTCYhCMLcZUmS5l3u6OjA8ePH8ac//QkjIyMLuo2xsSCSyZVb7crhyIHXO7VityeHU291QW9UI9dlSMl/q0oUEQzOyB3jhhWVWzAyNIlz7/Whss6JWCJ9d/NK1/vg34XD0bS+D7LhsSjVyXEfKBTCDQ1cF3wI3e12w+v9aPat1+uF0+mcu3zs2DF4vV7cd999+M53voPR0VE89NBDC705WgKBiWn0dfmxal0eJ68tMaVKRPVqF0LBKN4/2SN3HCLKAgt+FN+8eTNOnz4Nv9+P6elpHD9+HFu2bJm7ft++fXj11Vfx0ksv4bnnnoPT6cSBAweWJDQtTMu5YQgCULeOk9eWg81hQH6xGS3nhtDf7Zc7DhFluAUXuMvlwmOPPYaHH34Ye/bswd133421a9di7969aG5uXsqMtATi8STamkZQWmWH0aSRO07GKq+xw5KrxxuvtGM6HJM7DhFlMEFK4S2V+Br40um46MGJV9qw+4G1KCy1yh3nulSiiAtn++WOsSi5dgNe+ssFFJXlYsd99fPmhqSDTLgPqla5oNKIcsdYsEx+LEoXGf0aOKWXi+eGYM7VoaDEIneUjGdzGPG5L5ajt3MMje/0yh2HiDIUCzwL+DxBeAYDqG/IT7vRYLpas6EANatdaDzZi+4On9xxiCgDscCzQMu5ISiVCtSudckdJWsIgoAt26vhzMvBiVfa4PdxqVUiWlos8AwXmYmjo8WDyjonNFqV3HGyilKpwLav1kOpUuDo/15EOBSVOxIRZRAWeIbraPEgHkuifn2+3FGyktGkwfZ76xEORfHKfzchMsOZ6US0NFjgGUySJLR8MARnXg6ceam9JGAmcxeYsf3eeoz7w3jlUDP3DyeiJcECz2BDfZMYHwtz9J0CispysfWeOniHp3D0xRbEYum7zCcRpQYWeAZrOTcEjVaJilWOT/9kWnZl1XbceXcthvom8PKBC3xNnIgWhQWeoULBCLo7fKhd44ZKlb4LWmSa6noXtt9bjzFvCH/78zlM+MNyRyKiNMUCz1CtF0aQTEqoW891z1NNWbUdX3lwHaKRBP7253MY6BmXOxIRpSEWeAZKJJJo+WAIRWXWtN8TOVO5C0y49+H10OrVOPLfTTj1RhcS8aTcsYgojbDAM1BXqxfhUBRrbymUOwr9B2arDvd/4ybUrc/DhTMDePH5D+DzBOWORURpggWeYSRJwoX3B2C16VFUlrqbltAslUrEHduqseO+eoSCUfzPH8/izb+3IzgVkTsaEaU4pdwBaGmNDATg8wSxZVsV1z1PI6VVdjxUZMbZU31oPjuIztZRrN6Qj/r1BTBZtHLHI6IUxALPME2NA9BolahezXXP041Gq8LmOyuw+qZ8nPlXDy6cGcD59wZQUpGLuoY8FJblQqnkQTMimsUCzyCBiRl0d/jQsLGIp46lMZNFhy9/ZRU2faEcl84P4dKFYfS+6IdSpUBhqRUlFTa4C02w2vQ8ykKUxVjgGeTiB4MAgNU3FcichJaC0aTBrVvKsOG2Egz0jKO304/erjH0XB4DAKjUIhxuI6x2A8xWHSy5OuSYtTAYNVBrRJY7UYZjgWeIyEwcl84Po6LWAaNJI3ccWkKiqEBJhQ0lFTZIUiUmxsLwDE9hdHgK3uEpXG7xIBqZvzSrSi3CkKOBMUcNg1EDg0kDY44GhhwNDEY1jCYNtDoVS54ojbHAM8Sl80OIRRNo2FgkdxRaRoIgwGo3wGo3oHaNG8DsmQcz0zFM+qcxFYggNBVBcGr2fWgqgoHeCYSDEUjS/K8ligIMORpYbXrkOgzIdRjgzMuB3W6U4V9GRDeKBZ4B4vEkmt4fRGGpFQ43dx3LNoIgQKdXQ6dXw32dz0kmJYRD0blS/7Dgg4EI/L4w+rvHkUzONrzOoILBqIYlVw+b0wCtjvvIE6UiFngG6GjxIByK4ku7a+WOQilKoRBgzJk9jH4tiURy9tD8UACewSn0dPrg84TQ2eqFwaiGzWWEKy8HeqN6hZMT0fWwwNNcMinh/Hv9sLuMKCixyB2H0pQoKmBzGmFzGrFug4gLZ/sRDkUxNhrCmDeEvi4/+rr8yDFr4S7IgSvfBJGntBHJigWe5nouj2HSP4277lnFCUm0pPQGNfRlahSVWRGZiWN0eAqewQAuX/Kiu2MM7iIzCorNPMROJBMWeBqTJAnn3uuDyaJFeQ33/Kblo9EqUVRmRWGpBYGJGQz2TmCgZxwDPeNw5eegpMIGnZ5FTrSSWOBpbKBnHKNDU9iyrQoKBUfftPwEQYDZqoPZqsPMdAwDPRMY7p+EZ2gK7nwTSipzOSInWiEs8DQlSRIa3+mFIUczdzoR0UrS6lSoXOVAUZkV/d3jGOqfxOjwFApLLSgq57KvRMuNv2FparB3AiMDAdz0uSJOJiJZabRKVK5y4NbbS2B3GdF3ZRxn/tWDkYFJSB8/+ZyIlgwf+dOQJEloPNkLg1GN2rV5cschAjA7Il+1zo31m4qg06vQfnEUF94fRDgUlTsaUUZigaehob4JDA9MYv2mYh6mpJRjsmjRsLEQ1fVOBAMRNL7Th97OsbmFYohoafA18DTUeLIXeqMaqxo4+qbUJAgC8orMsDkN6Gz1oqfTj9HhIKpXO2G26uSOR5QROHxLMwM9s5OF1m8s4uibUp5ao0RdQx5Wb8hHIpHE+fcG0HHRg3gs8el/mYj+o0U1wJEjR7Bz505s3boVL7zwwieuf/3113HPPffgK1/5Cr73ve9hcnJyMTeX9SRJwrtvXYHRpEHd+ny54xB9ZjaHAbd8vgSFpRYMDwTQ+E4f/L6Q3LGI0tqCC9zj8eDpp5/GgQMHcPjwYRw8eBCdnZ1z1weDQfzoRz/Cc889h5dffhk1NTV49tlnlyR0tupq88I7EsQtt5dy9E1pR1QqUFHrwPpNRRBFAc2NQ7Oj8ThH40QLseAWOHXqFDZt2gSLxQK9Xo9t27bh2LFjc9fHYjE8+eSTcLlcAICamhoMDw8vPnGWSiSSOPOvHuQ6DKiud8kdh2jBTBYtNmwuRmGZdXY0frIP476w3LGI0s6CC3x0dBQOx0fLdzqdTng8nrnLVqsVd911FwBgZmYGzz33HL785S8vImp2a2saweT4NDbeUcZV1yjtKUQFKmrsaNhYCIVCQFPjIDpaRhGPJ+WORpQ2FjwLPZlMzts8Q5Kka26mMTU1hUceeQS1tbX46le/ekO3YbMZFxpvwRyO1NtPOxqJ44NTfSguz8XNm0oyetOSCX8YRqNW7hiLotfP7qWdrlbyPjAatXDnm9F+0YPuyz5MjIWx9uZC2J2L+93XaJQQxfR9mWk6HE3Jx6Jsk+r3wYIL3O12o7Gxce6y1+uF0+mc9zmjo6P49re/jU2bNmH//v03fBtjY8EVPXfU4ciB1zu1Yrf3WZ15uwfBqQju2rMKPl9Q7jjLSiWKCAZn5I6xKOFwFLFE+r6uK8d9UFxhhTlXi/ZmD977Vzfyi80or7YveJXB6XAMXR2jS5xy5azbUIRgKCJ3jKwmRx8oFMINDVwX/BR18+bNOH36NPx+P6anp3H8+HFs2bJl7vpEIoHvfve72LFjBx5//PGMHjUup8DENM6/24eqOifcBWa54xAtG7NVhw23FaOgxIKhvkk0vtOLiTG+Nk50PQsegbtcLjz22GN4+OGHEYvFcP/992Pt2rXYu3cv9u3bh5GREVy6dAmJRAKvvvoqAGD16tV46qmnlix8Njh1oguCQsCmL5bLHYVo2YmiApWrHHC4jWhv9uDC+4OLHo0TZapFrcS2e/du7N69e97Hfve73wEA1qxZg7a2tsV8+azX3+1H9+UxbLyjDMYcjdxxiFbMh6Px7o4xDPZOwO8NobLOCZvDIHc0opTBp7QpKpFI4uTrXTBbdVh3S6HccYhW3Iej8XW3zs5Uv3h2CC3nhhGZicsdjSglsMBTVFPjICbGwrjtSxU8dEhZzZI7OxovrbLB7w3h/bd70HfFj2SSp5xRduNmJilocnwa77/dg9JKG0oqbXLHIZKdQqFASUUunHlGdLX60N0xhuH+ACpq7bA5DZwkS1mJQ7sUI0kS3vpHO0RRwJZtVXLHIUopOr0aqzfkY83N+VCIAlrODeP8ewMY52x1ykIcgaeYS+eHMdQ/iS/sqIaBE9eIrinXboB1sx7DgwH0dvrR9P4gLDYdSipsMFvTeyEgos+KBZ5CgoEZnH7zCgpLLahd65Y7DlFKExQC8ovMcOfnYKh/En1XxnHhzAByzBooRfG6q0MSZQoWeIqQJAlvHe2AJEm4Y3s1H3iIPiOFqEBhqRV5RWZ4BgPo75nAG/9oh0arhLvQhLxCEzRaldwxiZYcCzxFXDgzgP7ucWzZVgWTRSd3HKK0I4oK5BdbkFdkhlJU4tx7fejt9KO30w+rXQ+H2wi70wiVWpQ7KtGSYIGngNHhAN77ZzfKqu2oa8iTOw5RWhMEAaWVNiSSCUyHYxgZmMTo8BQ6Lo6iQxiFJVcHq00Pq00Po0nDo12UtljgMotG4njtpVbojWp8YQcPnRMtJZ1ehbJqO0qrbAgGIvB6ghgbDaG7YwzdGINSqUCOWQujSYMcswZ6owY6vRIKBU/QodTHApeRJEn456uXMTU5g3seaoBWx9fpiJaDIAjIMWuRY9aivNqOaCSO8bEwJv3TmApEMNAzDunfNj7U6pTQaFVQa0SoNUqo1CIUCgGiqICoFKBQKCCKAhSiAh8+5xYEAZj988nLV//z4f8LH14WAKVKAVFU8Mk73TAWuIwunBlA56VR3LqlFHlF3GmMaKWoNUq48k1w5ZsAAMlEEqFgFOFQFNOhGKbDMURm4ggGIohGwkgklnnVNwFQKUUoVQooVSJ6LvuhM6hmjwyYtDBZtLDY9NDpVSx6msMCl0lv1xhOv3kF5TV23PS5YrnjEGU1haiYG6FfSzIpIZlIIpH46H0ikUQyKUGSJGD2z9X3H17A1VG99NHo/t+ulwBISQnxeBLxWALxWBKxq++nQ1F4PVMIB6Pzcmi0ytkJea4c2N1GON05sNr1LPUsxQKXgd8XwmsvtcLuMuLOXbX85SNKcQqFAIVChHKFXuVat6EIsUQCiXgSwakIJsenMTEWxvhYGH5vCK1Nw4ifnT0qoNUpkVdkQUGxBfklFuSy0LMGC3yFhUNRHP3fi1CqFNhxXz1PaSGi6xKVCpitOpitOhSX5859PJmUMDk+Dc9QAEN9Exjqm0R3hw8AoNWpkF9sRlF5LkorbdAb1HLFp2XGAl9BkZkYXjnYhHAwit0ProXRxCUfiejGKRTC3KlwtWtmV20MTMxgqG8Cg30TGOydwJV2H/4lAO4CM8qqbSirtnONiQzDAl8hsWgCf/+fixj3hbHj/tVwF3DSGhEtHZNFC5PFjdq1bkiSdPV0OR+6O3w49cYVnHrjCmwOA8pq7Kiqc8KSq5c7Mi0SC3wFxONJHH3xIkaHAti6p27eoTAioqUmCALsLiPsLiNuub0UgYlpdHf4cKXDh8aTvWg82Qtnfg6q612oXOWATs/D7OmIBb7MopE4jr54EUN9k/jirhqU1zjkjkREWcZk0WHdrUVYd2sRgoEIOltH0dHiwcnXOvHO650oKs9Fdb0LpVU2qFScl5MuWODLKByK4u+HmuH3hvCl3bWornfJHYmIspzRpEHDxiI0bCzCmDeEyy0eXL40itdfboVKLaJylQM1q91wF5o4mz3FscCXSWBiGq8cbEZoKoLt99WjpMImdyQionlsDgNsXyjHxjvKMNw/ifbm2TJvvTACs1WHmtUuVK92Xff8eJIXC3wZ9F3x4/WXWwEAux9cywlrRJTSBEFAfrEF+cUWfP6uSlxp96Kt2YMzb/fgzNs9KCixoGa1C+U1Dp76mkJY4EtIkiR8cKoPZ97ugc1hwLZ762G28rQNIkofKrWImjVu1KxxIzAxg44WD9qbR/DG39vx9mudqKhxoGaNC3lFZh5ilxkLfIkEpyL459EO9F3xo6reiTu2V3MyCBGlNZNFi5tvK8GGzcUYGQigrXkEXW1etDWPIMesRc1qF2rWuHh+uUxY4IskSRLamz1450QnkgkJt2+tRP36fD4zJaKMIQgC8orMyCsy4/N3VaK7w4f25hE0vtOLxnd6kVdkRu0aN8qq7dBoWSsrhd/pRRj3hfDOiS70d48jr9CML+6q4SFzIspoKpWI6noXqutdCAZm0H7Rg/ZmD978Rzv++WoHispyUVHrQGmljWW+zPjdXYDpcBSNJ3vRcm4IKrWI275cgTUbCjjqJqKsYjRpsWFzCW76XDE8Q1O40uZFV7sXvZ1jUIgCy3yZ8Tt6A0LBCJreH0TLuSHEYwnUrc/HLZ8v4SpGRJTVBEGAu8AEd4EJn7uzHJ6hALravOhq882WuWL2+uJKG0oqcmG1cce0pcAC/wy8I1NoOTeE9oseSEkJFbUO3HxbCax2g9zRiIhSymyZm+EuMGPznRXwDAbQ0zmGvi4/3n3zCt598wpyTBoUV9pQXJ6LvEIzR+cLxO/adYRDUXS1etHWNALfaBCiUoHatW403FrE17mJiD4DQRDgLjTDXWjGpi+UIxiYQd8VP3o7/WhvHkHLB0MAALvTODdJLq/IzC1QPyMW+FWSJGF0OIDzZwfQ0+HDyGAAAOBwG3H71kpU1Tmh0apkTklElL6MJi3qGvJR15CPRDyJ4YHJ2bf+SbReGEbz2UEAgCVXB2eeaW5DFrvLyFH6NWTtdyQyE8fYaBDekeDVH6AJzEzHAWB2B5/Pl6Cs2g6b0yhzUiKizCMqFSgstaKw1AoASCSSs4/H/RMY7p/EQO84Olo8c5+fY9bC7jLC5jDAnKuD2Tr7ptVl78BqUQV+5MgR/OY3v0E8HsfXv/51fO1rX5t3fWtrKx5//HGEQiHcfPPN+PGPfwylcuWfM0iShI6WUfhGpjAxPo2JsTACEzNz1+eYtSiptKGmzg1Trpbr/hIRrTBRVMxNhFu/afZj4VAUPk9w3lt3h2/e39NolTBbdTBZdTAY1TAY1dAbNdAb1NBfvaxSi0s+aU6SJEgSoFDINxlvwW3q8Xjw9NNP469//SvUajUeeOABbNy4EZWVlXOf8/3vfx8/+clP0NDQgP379+PQoUN46KGHliT4jZianMFb/2iHQhRgserhcOegdq0bdpcRDlcO9MbZ11scjhx4vVMrno+IiD5Jb1CjuDwXxeW5cx+Lx5OYmpjG5PiHbzOYHA/DMxhAOBhBIiF94usoFALUGhEqtRJqjQj11fdKlQiFQoAgCLPvFbOv2wsKAWqViGAwgngsiUQ8iXg8gXg8iVg0gZlwDDPTMRhNWvyf/7txJb8l8yy4wE+dOoVNmzbBYrEAALZt24Zjx47h0UcfBQAMDg5iZmYGDQ0NAIB7770XzzzzzA0V+FI9s7Hk6rH3/90OURQ+9VmYnM+maPb7n+6vdYmiIq1/jjLlPidtgjwAAAQVSURBVEjnf4NCIUAhpe/P0HJSq0XYnMZrvrwpSRJi0QTC4RhmQlFMh2MIh2OIRmKIR2fLNxpLIBZJIB5LIBqJQ0rOjqQlSUJSkuYuK5Wzv8cKpQJK5ezPk1KpgFIlQqNVQqNVItduWNLf9Rv9Wgv+CR8dHYXD4Zi77HQ60dTUdN3rHQ4HPB4PboTVuvKnadlsfM1bbptur5A7QtbLhPsgr5C7AFJmUyz0LyaTyXmjWUmS5l3+tOuJiIho4RZc4G63G16vd+6y1+uF0+m87vU+n2/e9URERLRwCy7wzZs34/Tp0/D7/Ziensbx48exZcuWuesLCgqg0Whw9uxZAMBLL70073oiIiJaOEGSpE9O2fuMjhw5gt/+9reIxWK4//77sXfvXuzduxf79u3DmjVr0NbWhieeeALBYBD19fX46U9/CrWaK+wQEREt1qIKnIiIiOSx4EPoREREJB8WOBERURpigRMREaUhFjgREVEaYoFfx69+9Ss8++yzcsfIKkeOHMHOnTuxdetWvPDCC3LHyVrBYBB33303BgYG5I6SlX79619j165d2LVrF37xi1/IHScr/dd//Rd27tyJXbt24Y9//KPcca6LBf4xU1NT2L9/f0rfaZnow81xDhw4gMOHD+PgwYPo7OyUO1bWuXDhAh588EH09PTIHSUrnTp1CidPnsTf/vY3HD58GC0tLXjttdfkjpVVzpw5g3fffRcvv/wyXnzxRfz5z3/GlStX5I51TSzwjzlx4gRKS0vxzW9+U+4oWeXfN8fR6/Vzm+PQyjp06BCefPJJrpooE4fDgR/+8IdQq9VQqVSoqKjA0NCQ3LGyyq233ornn38eSqUSY2NjSCQS0Ov1cse6pvTdrmeZ7NmzBwB4+HyFfdrmOLQynnrqKbkjZLWqqqq5/+/p6cHRo0fxl7/8RcZE2UmlUuGZZ57BH/7wB2zfvh0ul0vuSNeUtSPwo0ePYsuWLfPevvGNb8gdK2tx8xuij1y+fBnf+ta38IMf/AClpaVyx8lK+/btw+nTpzE8PIxDhw7JHeeasnYEvmPHDuzYsUPuGHSV2+1GY2Pj3OWPb45DlC3Onj2Lffv2Yf/+/di1a5fccbJOV1cXotEoVq1aBZ1Oh61bt6K9vV3uWNeUtSNwSi2ftjkOUTYYHh7GI488gl/+8pcsb5kMDAzgiSeeQDQaRTQaxYkTJ7Bhwwa5Y11T1o7AKbW4XC489thjePjhh+c2x1m7dq3csYhW1O9//3tEIhH87Gc/m/vYAw88gAcffFDGVNnljjvuQFNTE/bs2QNRFLF169aUfTLFzUyIiIjSEA+hExERpSEWOBERURpigRMREaUhFjgREVEaYoETERGlIRY4ERFRGmKBExERpSEWOBERURr6/3wLH2b+QDsmAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 576x1728 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = [8,24])\n",
    "for i in range(4):\n",
    "    plt.subplot(4,1,i+1)\n",
    "    sns.distplot(s1[i],color=c[i],label=column[i])\n",
    "    plt.legend()\n",
    "plt.title('Poison Distribution of data')      \n",
    "plt.show()    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3. Multinomial Distribution"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Tossing n-number of p-side dice**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1.0, 0.9237604307034013)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# number of dice in one experiment\n",
    "n = 6 \n",
    "\n",
    "# number of face\n",
    "p = 6\n",
    "\n",
    "#number of experiment\n",
    "N = 100\n",
    "\n",
    "s4 = np.random.multinomial(n, [1/float(p)]*6, 100)\n",
    "Mu=np.mean(s4)\n",
    "Sigma=np.std(s4)\n",
    "s5=np.random.normal(Mu, Sigma,100)\n",
    "Mu,Sigma"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1, 1, 0, 0, 2, 2],\n",
       "       [0, 0, 2, 2, 1, 1],\n",
       "       [0, 1, 0, 3, 2, 0],\n",
       "       [1, 0, 1, 2, 1, 1]])"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s4[1:5]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame(s4, columns= ['1','2','3','4','5','6'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    1  2  3  4  5  6\n",
       "0   1  0  1  2  1  1\n",
       "1   1  1  0  0  2  2\n",
       "2   0  0  2  2  1  1\n",
       "3   0  1  0  3  2  0\n",
       "4   1  0  1  2  1  1\n",
       ".. .. .. .. .. .. ..\n",
       "95  1  0  1  0  0  4\n",
       "96  1  0  1  2  1  1\n",
       "97  2  1  1  2  0  0\n",
       "98  1  1  0  1  1  2\n",
       "99  2  2  0  2  0  0\n",
       "\n",
       "[100 rows x 6 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[98, 101, 75, 116, 110, 100]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "freq=[]\n",
    "for i in range(6):\n",
    "    freq.append(np.sum(df.iloc[:,i]))\n",
    "freq \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "600"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.sum(freq)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Frequency</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>101</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>75</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Frequency\n",
       "1         98\n",
       "2        101\n",
       "3         75\n",
       "4        116\n",
       "5        110\n",
       "6        100"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1 = pd.DataFrame(freq,columns= ['Frequency'], index= ['1','2','3','4','5','6'])\n",
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Frequency</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Face</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Frequency\n",
       "Face           \n",
       "1            98\n",
       "2           101\n",
       "3            75\n",
       "4           116\n",
       "5           110\n",
       "6           100"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.index.names = ['Face'] #naming index\n",
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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