group_gun_violence_EDA.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Gun Violence EDA\n",
    "\n",
    "Hello! This is the notebook where everyone will contribute their EDA work. Please update this notebook with your code, and change the names of the gun violence dataframe you used in your analyses to match `gun_data` as loaded in the cell below. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Set Up"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import scipy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load in Data "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "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>incident_id</th>\n",
       "      <th>date</th>\n",
       "      <th>state</th>\n",
       "      <th>city_or_county</th>\n",
       "      <th>address</th>\n",
       "      <th>n_killed</th>\n",
       "      <th>n_injured</th>\n",
       "      <th>incident_url</th>\n",
       "      <th>source_url</th>\n",
       "      <th>incident_url_fields_missing</th>\n",
       "      <th>...</th>\n",
       "      <th>participant_status</th>\n",
       "      <th>participant_type</th>\n",
       "      <th>sources</th>\n",
       "      <th>state_house_district</th>\n",
       "      <th>state_senate_district</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>monthday</th>\n",
       "      <th>weekday</th>\n",
       "      <th>loss</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>461105</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>Pennsylvania</td>\n",
       "      <td>Mckeesport</td>\n",
       "      <td>1506 Versailles Avenue and Coursin Street</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>http://www.gunviolencearchive.org/incident/461105</td>\n",
       "      <td>http://www.post-gazette.com/local/south/2013/0...</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>0::Arrested||1::Injured||2::Injured||3::Injure...</td>\n",
       "      <td>0::Victim||1::Victim||2::Victim||3::Victim||4:...</td>\n",
       "      <td>http://pittsburgh.cbslocal.com/2013/01/01/4-pe...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2013</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>460726</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>California</td>\n",
       "      <td>Hawthorne</td>\n",
       "      <td>13500 block of Cerise Avenue</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>http://www.gunviolencearchive.org/incident/460726</td>\n",
       "      <td>http://www.dailybulletin.com/article/zz/201301...</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>0::Killed||1::Injured||2::Injured||3::Injured</td>\n",
       "      <td>0::Victim||1::Victim||2::Victim||3::Victim||4:...</td>\n",
       "      <td>http://losangeles.cbslocal.com/2013/01/01/man-...</td>\n",
       "      <td>62.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>2013</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>478855</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>Ohio</td>\n",
       "      <td>Lorain</td>\n",
       "      <td>1776 East 28th Street</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>http://www.gunviolencearchive.org/incident/478855</td>\n",
       "      <td>http://chronicle.northcoastnow.com/2013/02/14/...</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>0::Injured, Unharmed, Arrested||1::Unharmed, A...</td>\n",
       "      <td>0::Subject-Suspect||1::Subject-Suspect||2::Vic...</td>\n",
       "      <td>http://www.morningjournal.com/general-news/201...</td>\n",
       "      <td>56.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>2013</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>478925</td>\n",
       "      <td>2013-01-05</td>\n",
       "      <td>Colorado</td>\n",
       "      <td>Aurora</td>\n",
       "      <td>16000 block of East Ithaca Place</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>http://www.gunviolencearchive.org/incident/478925</td>\n",
       "      <td>http://www.dailydemocrat.com/20130106/aurora-s...</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>0::Killed||1::Killed||2::Killed||3::Killed</td>\n",
       "      <td>0::Victim||1::Victim||2::Victim||3::Subject-Su...</td>\n",
       "      <td>http://denver.cbslocal.com/2013/01/06/officer-...</td>\n",
       "      <td>40.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>2013</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>478959</td>\n",
       "      <td>2013-01-07</td>\n",
       "      <td>North Carolina</td>\n",
       "      <td>Greensboro</td>\n",
       "      <td>307 Mourning Dove Terrace</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>http://www.gunviolencearchive.org/incident/478959</td>\n",
       "      <td>http://www.journalnow.com/news/local/article_d...</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>0::Injured||1::Injured||2::Killed||3::Killed</td>\n",
       "      <td>0::Victim||1::Victim||2::Victim||3::Subject-Su...</td>\n",
       "      <td>http://myfox8.com/2013/01/08/update-mother-sho...</td>\n",
       "      <td>62.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>2013</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 34 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  incident_id       date           state city_or_county  \\\n",
       "0      461105 2013-01-01    Pennsylvania     Mckeesport   \n",
       "1      460726 2013-01-01      California      Hawthorne   \n",
       "2      478855 2013-01-01            Ohio         Lorain   \n",
       "3      478925 2013-01-05        Colorado         Aurora   \n",
       "4      478959 2013-01-07  North Carolina     Greensboro   \n",
       "\n",
       "                                     address  n_killed  n_injured  \\\n",
       "0  1506 Versailles Avenue and Coursin Street         0          4   \n",
       "1               13500 block of Cerise Avenue         1          3   \n",
       "2                      1776 East 28th Street         1          3   \n",
       "3           16000 block of East Ithaca Place         4          0   \n",
       "4                  307 Mourning Dove Terrace         2          2   \n",
       "\n",
       "                                        incident_url  \\\n",
       "0  http://www.gunviolencearchive.org/incident/461105   \n",
       "1  http://www.gunviolencearchive.org/incident/460726   \n",
       "2  http://www.gunviolencearchive.org/incident/478855   \n",
       "3  http://www.gunviolencearchive.org/incident/478925   \n",
       "4  http://www.gunviolencearchive.org/incident/478959   \n",
       "\n",
       "                                          source_url  \\\n",
       "0  http://www.post-gazette.com/local/south/2013/0...   \n",
       "1  http://www.dailybulletin.com/article/zz/201301...   \n",
       "2  http://chronicle.northcoastnow.com/2013/02/14/...   \n",
       "3  http://www.dailydemocrat.com/20130106/aurora-s...   \n",
       "4  http://www.journalnow.com/news/local/article_d...   \n",
       "\n",
       "  incident_url_fields_missing  ...  \\\n",
       "0                       False  ...   \n",
       "1                       False  ...   \n",
       "2                       False  ...   \n",
       "3                       False  ...   \n",
       "4                       False  ...   \n",
       "\n",
       "                                  participant_status  \\\n",
       "0  0::Arrested||1::Injured||2::Injured||3::Injure...   \n",
       "1      0::Killed||1::Injured||2::Injured||3::Injured   \n",
       "2  0::Injured, Unharmed, Arrested||1::Unharmed, A...   \n",
       "3         0::Killed||1::Killed||2::Killed||3::Killed   \n",
       "4       0::Injured||1::Injured||2::Killed||3::Killed   \n",
       "\n",
       "                                    participant_type  \\\n",
       "0  0::Victim||1::Victim||2::Victim||3::Victim||4:...   \n",
       "1  0::Victim||1::Victim||2::Victim||3::Victim||4:...   \n",
       "2  0::Subject-Suspect||1::Subject-Suspect||2::Vic...   \n",
       "3  0::Victim||1::Victim||2::Victim||3::Subject-Su...   \n",
       "4  0::Victim||1::Victim||2::Victim||3::Subject-Su...   \n",
       "\n",
       "                                             sources state_house_district  \\\n",
       "0  http://pittsburgh.cbslocal.com/2013/01/01/4-pe...                  NaN   \n",
       "1  http://losangeles.cbslocal.com/2013/01/01/man-...                 62.0   \n",
       "2  http://www.morningjournal.com/general-news/201...                 56.0   \n",
       "3  http://denver.cbslocal.com/2013/01/06/officer-...                 40.0   \n",
       "4  http://myfox8.com/2013/01/08/update-mother-sho...                 62.0   \n",
       "\n",
       "  state_senate_district  year month  monthday weekday loss  \n",
       "0                   NaN  2013     1         1       1    4  \n",
       "1                  35.0  2013     1         1       1    4  \n",
       "2                  13.0  2013     1         1       1    4  \n",
       "3                  28.0  2013     1         5       5    4  \n",
       "4                  27.0  2013     1         7       0    4  \n",
       "\n",
       "[5 rows x 34 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# gun_data = pd.read_csv('stage3.csv')\n",
    "gun_data = pd.read_csv('gun-violence-data_01-2013_03-2018.csv')\n",
    "missing_row = ['sban_1', '2017-10-01', 'Nevada', 'Las Vegas', 'Mandalay Bay 3950 Blvd S', 59, 489, 'https://en.wikipedia.org/wiki/2017_Las_Vegas_shooting', 'https://en.wikipedia.org/wiki/2017_Las_Vegas_shooting', '-', '-', '-', '-', '-', '36.095', 'Hotel', \n",
    "               '-115.171667', 47, 'Route 91 Harvest Festiva; concert, open fire from 32nd floor. 47 guns seized; TOTAL:59 kill, 489 inj, number shot TBD,girlfriend Marilou Danley POI', '-', '-', '-', '-', '-', '-', '-', '-', '-', '-']\n",
    "gun_data.loc[len(gun_data)] = missing_row\n",
    "# Create some additional features\n",
    "gun_data['date'] = pd.to_datetime(gun_data['date'])\n",
    "gun_data['year'] = gun_data['date'].dt.year\n",
    "gun_data['month'] = gun_data['date'].dt.month\n",
    "gun_data['monthday'] = gun_data['date'].dt.day\n",
    "gun_data['weekday'] = gun_data['date'].dt.weekday\n",
    "gun_data['loss'] = gun_data['n_killed'] + gun_data['n_injured']\n",
    "gun_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABOEAAANfCAYAAACfQslgAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/MnkTPAAAACXBIWXMAAAsTAAALEwEAmpwYAADrvklEQVR4nOzdeXRN9/7/8dfJaAhNRGjNrWrQGFvEUEP4lqgYEnOlqGrVfFsqKiJqqihKlFYHShVFNCRUzUNqbOuaVWuotMQQiYRMcs7vDz/nSoUakhzs52Otu5qzP/vz2e+932v5430/771NFovFIgAAAAAAAAC5xs7WAQAAAAAAAACPO4pwAAAAAAAAQC6jCAcAAAAAAADkMopwAAAAAAAAQC6jCAcAAAAAAADkMopwAAAAAAAAQC6jCAcAAAAAAADkMgdbBwAAAAAAAABjSktJU/LVDFuHkWPs7ExycyuY7RhFOIPrXO1NxZ0+b+swAAAAAACAAW2MX67Lyem2DiNP0I4KAAAAAAAA5DKKcLnM09NTkrRz504FBgZKkgIDA7Vz507t379fI0aMuK91Fy5cqIULF+ZYnAAAAAAAAMg9tKPaUJUqVVSlSpX7mtulS5ccjgYAAAAAAAC5hZ1wNvTP3XFhYWHq1KmT/u///k+bN2+WJF24cEFvvfWW/Pz81K5dO23ZskWSFB4ervDwcGVkZGjo0KFq27at2rZtq++++85m9wMAAAAAAIDsUYR7iGRkZGjx4sUaPny4pk2bJkkaM2aMvL29tXLlSk2fPl3vv/++Lly4YJ3z66+/KjExUd9//70+++wz7dmzx1bhAwAAAAAA4DYowj1EXnrpJUlShQoVlJCQIEnasWOH2rdvL0kqXbq0qlWrpv/+97/WORUqVNCJEyfUq1cv/fDDD3rvvffyPG4AAAAAAADcGUW4h4izs7MkyWQyWY9ZLJYs51gsFmVmZlp/u7m5KTo6Wt26ddOJEyfUrl07Xb58OW8CBgAAAAAAwF2hCPeQ8/b21tKlSyVJp0+f1i+//KLq1atbx9evX6+hQ4eqcePGCg4OVoECBXTmzBkbRQsAAAAAAIDs8HXUh9yIESMUEhKiiIgISdLYsWNVrFgx63jDhg31448/6pVXXpGzs7Nat24tT09PW4ULAAAAAACAbJgs/+x3hKF0rvam4k6ft3UYAAAAAADAgDbGL9f580m2DiPH2NmZ5O7ukv1YHscCAAAAAAAAGA474QAAAAAAAGATqVfTlHQl3dZh5Jg77YTjnXAGd/Fissxm6rBG4+FR6LHa7ou7R+6NjfwbF7k3LnJvbOTfuMi9cZH7hxvtqAAAAAAAAEAuox0VAAAAAAAY0uPWCslOONujHRW39WrtAYqL5euoAAAAAADjWff3oseqCIeHG+2oAAAAAAAAQC6jCPcvkpOTNXr0aLVq1Upt2rRRYGCgDh48eNvzY2Nj5ePjI0maNm2a1q9fL0maPn26GjdurDlz5jxwTG3atHngNQAAAAAAAJB3aEe9A7PZrN69e6tOnTr6/vvv5eDgoB07dqh3796Kjo6Wm5vbHecPGjTI+ndkZKTmzJmjp59++oHjioyMfOA1AAAAAAAAkHcowt3Bzp07debMGQ0cOFB2dtc3DXp7e2vChAkym80KDg7WsWPHdOHCBXl6emrKlClZ5gcFBal27drau3ev4uLi1K9fP02ePFlnz57Vxx9/LLPZrNKlS+uDDz5Q0aJF5ePjo6pVq+rw4cOaNGmSQkJCVKFCBR0+fFju7u6aNm2aXF1d5enpqaNHjyouLk7vv/++kpKSdO7cObVr1y5L4Q8AAAAAAAAPB9pR7+DQoUOqWLGitQB3Q6NGjXT8+HE5Ojpq8eLFWrt2rZKSkrR58+Zs1/nggw9UrFgxzZ49W8WKFVNISIg++eQTrVy5UjVr1tQHH3xgPbdhw4Zas2aNihQpoiNHjqhnz56KiopS4cKFtXLlyizrRkVFqVWrVvruu++0cuVKff3114qPj8/5BwEAAAAAAIAHwk64O7Czs5Ozs3O2Y7Vq1ZKrq6sWLFig48eP6+TJk7p69eq/rrlv3z5VrVpVpUqVkiR16tRJs2fPto5Xq1bN+re7u7sqV64sSapQoYISExOzrNWrVy/t2LFDX375pY4dO6aMjAylpKTc830CAAAAAAAgd7ET7g68vLx06NAhWSyWLMenTJmidevWaciQIcqXL5/8/f1Vq1atW87LjtlszvLbYrHo2rVr1t83F/1u/ttkMt2y/ocffqj58+erRIkSevvtt+Xm5nZXMQAAAAAAACBvUYS7gxdffFHu7u6aMWOGMjMzJUlbt25VRESEtm7dKl9fXwUEBKhw4cLauXOn9Zw7qVatmv773/8qNjZWkrR48WLVqVPnvuKLiYlRr1695OvrqxMnTiguLu6WIh8AAAAAAABsj3bUOzCZTJo5c6YmTJigVq1aycHBQW5ubpo9e7bs7e01ZMgQRUdHy9HRUTVr1rQW1u6kaNGi+uCDD9S/f39lZGSoRIkSGjdu3H3F99Zbb+m9995Tvnz59OSTT8rLy0uxsbEqU6bMfa0HAAAAAACA3GGy0L9oaK/WHqC42PO2DgMAAAAAgDy37u9FOn8+ydZh5BgPj0KP1f08iuzsTHJ3d8l+LI9jAQAAAAAAAAyHnXAAAAAAAMCQUq+mKelKuq3DyDHshLO9O+2E451wBnfxYrLMZuqwRsM/zMZF7o2N/BsXuTcucm9s5N+4yD3wcKIdFQAAAAAAAMhltKMCAAAAAGBwqSlpSkp+fNoyjYpdkLZHOypu67UG7yrurwu2DgMAAAAAYENrTnxNEQ7IZbSjAgAAAAAAALmMnXA5LDY2Vi1atFD58uWzHHd1dVWbNm3k7+9/V+vs379fixYt0rhx425Z/7XXXtOGDRtyLGYAAAAAAADkLopwuaBYsWKKjIzMciwoKOie1qhSpYqqVKmSk2EBAAAAAADARijC2cCyZcs0Z84cmUwmPf/88xo5cqQKFiwob29veXl56fz583rvvff06aefav78+Tp06JBGjBghSapYsaJ1nd9++01jxozR1atXFR8frzfffFNdunSx1W0BAAAAAADgNngnXC44d+6c2rRpY/3fF198YR07evSotbi2cuVK5c+fXzNmzJAkXbp0Sb1791ZkZKQcHP5XHx02bJiGDBmi5cuXq1SpUtbjS5YsUd++fbVs2TLNmzdPYWFheXeTAAAAAAAAuGvshMsFd2pH3b17t5o0aSI3NzdJUqdOnTR8+HDredWqVcsyLz4+XufOnVP9+vUlSf7+/lq2bJl1za1bt+qzzz7Tb7/9pqtXr+baPQEAAAAAAOD+sRMuj5nN5iy/LRaLrl27Zv2dL1++LOMmk0kWi8X6297e3vr34MGDtXbtWpUvX16DBw/OnYABAAAAAADwwCjC5bHatWtrw4YNSkhIkCR99913qlOnzm3Pd3NzU4kSJbRp0yZJUlRUlHUsJiZGAwcOVLNmzbRlyxZJUmZmZq7FDgAAAAAAgPtDO2oeq1ixot566y0FBgYqIyNDzz//vEaPHn3HOZMmTdLw4cP18ccfq3r16tbjAwYMUNeuXeXs7KyKFSuqZMmSio2NVdmyZXP5LgAAAAAAAHAvTJabex1hOK81eFdxf12wdRgAAAAAABtac+JrnT+fZOsw8IA8PAqRRxuzszPJ3d0l+7E8jgUAAAAAAAAwHHbCAQAAAABgcKkpaUpKTrd1GHhA7ISzvTvthOOdcAZ38WKyzGbqsEbDP8zGRe6NjfwbF7k3LnJvbOTfuMg98HCiHRUAAAAAAADIZbSjAgAAAAAeObRP3h474YyL3Nse7ai4re4+QYr766KtwwAAAACAe/LD0c8pwgF4pNCOCgAAAAAAAOQydsLlgdGjR+uXX35RRkaG/vzzT5UvX16S9NprrykgIMDG0QEAAAAAACC3UYTLA6NGjZIkxcbG6rXXXlNkZKSNIwIAAAAAAEBeoh3VRk6dOqWePXuqXbt26tKliw4dOqTMzEy1b99eS5YskSSNHDlSYWFhkqSpU6eqY8eOat68uQIDA3XhwgVlZGRo6NChatu2rdq2bavvvvvOlrcEAAAAAACA22AnnI0MGzZMISEhqly5sn7//Xf169dPa9as0cSJE9WjRw/lz59f+/bt05IlS3Tq1CkdP35cixYtkp2dnd577z2tWLFCXl5eSkxM1Pfff6+4uDhNnjxZHTt2tPWtAQAAAAAA4B8owtnAlStXdODAAQ0fPtx67OrVq7p06ZLKly+vwMBAvffee1q+fLmcnJxUtmxZDRs2TEuWLNGJEye0d+9elSlTRhUqVNCJEyfUq1cvNWzYUO+9954N7woAAAAAAAC3QxHOBsxms5ycnLK8G+7s2bNydXWVJJ04cUKurq46fPiwPD09deDAAb377rvq0aOHmjdvLjs7O1ksFrm5uSk6OloxMTHavHmz2rVrp+joaBUuXNhGdwYAAAAAAIDs8E44GyhUqJDKlStnLcLFxMTo1VdflSRt2rRJR44c0aJFizRlyhTFxcVp9+7dql27trp06aJy5cpp06ZNyszM1Pr16zV06FA1btxYwcHBKlCggM6cOWPLWwMAAAAAAEA22AlnI5MmTVJoaKi++OILOTo6aurUqUpKSlJoaKhmzJihMmXKqHv37ho5cqTGjBmj/v37y8/PT5Lk5eWl2NhY9evXTz/++KNeeeUVOTs7q3Xr1vL09LTxnQEAAAAAAOCfTBaLxWLrIGA73X2CFPfXRVuHAQAAAAD35Iejn+v8+SRbh/FQ8vAoxLMxKHJve3Z2Jrm7u2Q/lsexAAAAAAAAAIZDO6rBfb3hQ1uHAAAAAAD3LDUlzdYhAMA9oQhncBcvJstspiPZaNiibFzk3tjIv3GRe+Mi98ZG/gHg4UI7KgAAAAAAAJDL2AlncLd7WSAefx4ehWwdAmyE3Bsb+Tcucv9wS01JV1IyrXUAADzOKMIZXI8WI3Xu73hbhwEAAGBoq/Z9QhEOAIDHHO2oAAAAAAAAQC6jCGdDV65c0ejRo/V///d/at26tbp27art27dLkgIDA7Vz585b5kybNk3r16/P61ABAAAAAADwAGhHtRGLxaI+ffqoUqVKio6OlpOTkw4dOqQ333xTkydPvu28QYMG5WGUAAAAAAAAyAnshLORXbt26e+//9bw4cPl5OQkSapcubLefvttzZw5U5K0dOlStWvXTk2bNtWGDRskSUFBQYqIiJAkLVu2TK1atZKfn5+CgoJ05coV29wMAAAAAAAA7oginI3s379fXl5eMplMWY7XqlVL+/fvlyQVKlRIy5cvV3BwsD755JMs5x09elSffvqp5s+fr5UrVyp//vyaMWNGnsUPAAAAAACAu0cRzkZMJpMyMzNvOZ6RkWEtzDVr1kyS9Oyzz+rSpUtZztu9e7eaNGkiNzc3SVKnTp20Y8eOXI4aAAAAAAAA94MinI1Uq1ZNBw4cUEZGRpbje/fulZeXlyTJ3t5ekm7ZLSdJZrM5y2+LxaJr167lUrQAAAAAAAB4EBThbOTFF1/Us88+q/Hjx1sLcQcOHNCsWbPUt2/ff51fu3ZtbdiwQQkJCZKk7777TnXq1MnNkAEAAAAAAHCfKMLZ0IwZM+Tk5KRWrVqpZcuWGjdunCZNmnRXxbSKFSvqrbfeUmBgoFq0aKHLly9r8ODBuR80AAAAAAAA7pnJYrFYbB0EbKdHi5E693e8rcMAAAAwtFX7PtH580k5vq6HR6FcWRePBvJvXOTeuMi97dnZmeTu7pL9WB7HAgAAAAAAABiOg60DgG3N/WGMrUMAAAAwvNSUdFuHAAAAchlFOIO7eDFZZjMdyUbDFmXjIvfGRv6Ni9wDAADYHu2oAAAAAAAAQC5jJ5zB3e5lgXj8eXgUsnUIsBFyb2zk37jIfe5ITUlXUnKarcMAAACPAIpwBtfT7wOdO8PXUQEAAO5H9J6PKcIBAIC7QjsqAAAAAAAAkMsowt1BbGysPD09FRMTk+W4j4+PYmNjc+Qab731liZOnJjl2KJFi9SxY0dlZmbeVYw+Pj45EgsAAAAAAAByB0W4f+Ho6KiRI0cqOTk5V9b/4IMPFBERoUOHDkmS4uLiNGPGDH344Yeyt7fPlWsCAAAAAAAgb1GE+xfFihVTvXr1btmtdsPs2bPVrl07tW7dWmFhYbJYLOrTp482b94sSZoyZYreeOMNSdK5c+fUqlWrLPOLFy+uIUOGKDg4WGazWWPHjlXv3r31zDPPaOPGjWrTpo38/PzUt29fXbhwQdL1nXiDBw9W8+bNFR//v/e5rVmzRq1bt85yDAAAAAAAALZHEe4uBAUFadu2bbe0pW7ZskUHDhzQ0qVL9f333ysuLk4rVqxQo0aNtGPHDknSnj17dPz4cWVmZmrr1q1q1KjRLet36NBBrq6uGjp0qBISEvTaa6/p4sWLCgkJ0SeffKKVK1eqZs2a+uCDD6xzGjZsqDVr1qhIkSKSpG3btumTTz7RV199ZT0GAAAAAACAhwNFuLvg4uKiMWPG3NKWun37du3bt0/+/v5q166dDhw4oN9//12NGzfW9u3bred6enrq4MGD2rJli5o0aZLtNcaMGaOoqChNmDBBJpNJ+/btU9WqVVWqVClJUqdOnayFPUmqVq2a9e9Lly5pwIABatu2rYoWLZobjwAAAAAAAAAPwMHWATwqGjRocEtbamZmprp3766ePXtKki5fvix7e3sVLFhQZrNZP/74o2rWrKmiRYtqx44dOnjwoGrUqJHt+iVLlpQka9HNbDZnGbdYLLp27Zr1t7Ozs/Vvk8mkTz75REOGDNErr7yi4sWL58xNAwAAAAAAIEewE+4e3GhLPXfunCTJ29tbkZGRunLliq5du6Z+/fppzZo1kq63i86aNUu1a9eWt7e35s+fr2rVqt31xxaqVaum//73v9avsC5evFh16tTJ9lxXV1fVrVtXXbp00dixY3PgTgEAAAAAAJCTKMLdgxttqRkZGZKufyDh5ZdfVseOHdWqVStVrFhR7dq1kyQ1btxYf//9t1544QV5enoqIyPjtq2o2SlatKg++OAD9e/fX6+88op27dql0aNH33HOm2++qWPHjmndunX3f5MAAAAAAADIcSaLxWKxdRCwnZ5+H+jcGb6mCgAAcD+i93ys8+eTbB3GbXl4FHqo40PuIv/GRe6Ni9zbnp2dSe7uLtmP5XEsAAAAAAAAgOHwYQaDm7MyxNYhAAAAPLJSU9JtHQIAAHhEUIQzuIsXk2U205FsNGxRNi5yb2zk37jIPQAAgO3RjgoAAAAAAADkMnbCGdztXhaIx5+HRyFbhwAbIffGRv6Ny5a5T01JV1Jyms2uDwAA8DCgCGdwr/uP07mzl2wdBgAAeIxF/fQRRTgAAGB4tKMCAAAAAAAAuYydcA/g2rVr+vzzz7VixQqZTCZlZmaqXbt2euutt2QymXLlmgsXLpQkdenSJVfWBwAAAAAAQM6jCPcARo8erQsXLmjx4sUqXLiwkpOT1a9fPxUqVEivvvpqrlyT4hsAAAAAAMCjhyLcfTp79qxWrFihLVu2qHDhwpIkFxcXhYSE6Pfff9eFCxcUEhKis2fPymQy6d1331W9evWUkpKi4OBgHT16VCaTSb169VLbtm0VERGh5cuXKyEhQU2aNFHXrl01ZMgQJSYm6rnnntPu3bu1ZcsWhYeHS5IGDBigb775RpGRkUpJSZGjo6MmT56sZ555xpaPBQAAAAAAANmgCHef9u3bp/Lly+uJJ57Icrx8+fIqX768/vOf/yggIEBNmzbVuXPn1LVrV33//feaOXOm3NzcFBUVpfj4eHXo0EEVK1aUJMXFxWnVqlVycHDQgAED5Ovrq1dffVVr165VVFRUluskJydr3bp1mj9/vvLly6dp06ZpwYIFGjlyZJ49AwAAAAAAANwdinAP4Ob3vv3www+aNWuWzGaznJycFBsbq+PHj2v69OmSrr8/7vTp09qxY4fGjx8vSSpSpIiaNm2qXbt2ycXFRZUrV5aDw/WUxMTEaMKECZKk//u//7PutrvBxcVFkydPVnR0tE6ePKmtW7eqUqVKeXHbAAAAAAAAuEcU4e6Tl5eX/vjjDyUnJ8vFxUUtWrRQixYtFBsbq9dee01ms1lff/21XF1dJUnnzp2Tu7u7LBZLlnUsFosyMzMlSfny5bMet7e3v+Xcm505c0aBgYHq1q2bGjZsqKJFi+rw4cM5f6MAAAAAAAB4YHa2DuBRVaJECbVu3VrDhg3T5cuXJV3f7bZp0ybZ2dnJ29tb3377rSTp999/l5+fn1JSUuTt7a2lS5dKkuLj47V+/XrVrl37lvXr1q2rlStXSpI2b95svcYN+/fvV9myZdWjRw9VqVJF69atsxbzAAAAAAAA8HBhJ9wDCA0N1Zw5c/Taa68pMzNTV65cUZ06dfT555+rQIECCgkJkZ+fnyQpLCxMLi4u6tevn0JDQ+Xn56fMzEz16dNHzz//vI4ePZpl7REjRmjYsGH67rvvVLFixVvaUevXr6+FCxeqZcuWslgsqlWrlo4dO5Zn9w4AAAAAAIC7Z7LcqecRNjNv3jzVq1dPzz77rA4ePKiRI0cqIiIix6/zuv84nTt7KcfXBQAAuCHqp490/nySrcMwJA+PQjx7AyP/xkXujYvc256dnUnu7i7ZjrET7iFVtmxZvfPOO7Kzs5Ozs7PGjBlj65AAAAAAAABwn9gJBwAAgFyVmpKupOQ0W4dhSOyIMDbyb1zk3rjIve2xEw63dfFissxm6rBGwz/MxkXujY38Gxe5BwAAsD2+jgoAAAAAAADkMnbCGdzttkji8efhUcjWIcBGyL2xkX/jyovcp6amKymJtlMAAIDsUIQzuNc7T+TrqAAAIEdEbfqQIhwAAMBt0I4KAAAAAAAA5LLHcidcbGysWrRoofLly8tkMikjI0PFihXThAkT9OSTT+Z5PEFBQapdu7b8/f1zZL3169frwIEDGjRoUI6sBwAAAAAAgNz1WBbhJKlYsWKKjIy0/v7www8VFhamKVOm2DCqnNG0aVM1bdrU1mEAAAAAAADgLj22Rbh/qlOnjqZMmaJ9+/ZpwoQJSk1NlZubm0aPHq3SpUsrMDBQVapU0c8//6z4+HgFBwerUaNGCgoKkouLiw4ePKi4uDj169dPAQEB2r59uyZNmiRJeuKJJzR58mTNmzdPFotF//nPfyRd3wHXsGFDawwTJkxQ8eLF9frrr0uSBgwYoNatW6ts2bIaM2aMrl69qvj4eL355pvq0qWLwsPDFRcXp1OnTumvv/5Shw4d9PbbbysiIkK7du3Shx9+qNWrV2vOnDlKTU1Venq6xo8fr5o1a+b9AwYAAAAAAMBtGeKdcBkZGVqzZo28vLwUHBysyZMna/ny5erZs6dGjhyZ5bzFixdr+PDhmjZtmvX42bNn9e2332rWrFkKCwuTJM2cOVOhoaGKiIhQvXr1dOjQIQUEBGjlypWyWCxKSUnRjh07suxYa9OmjaKioiRJycnJ+vXXX9WoUSMtWbJEffv21bJlyzRv3jzrNSTp6NGj+vLLL7VkyRLNnj1bly9fto6ZzWYtWrRIn376qVasWKE33nhDs2fPzrXnCAAAAAAAgPvz2O6EO3funNq0aSNJSk9PV9WqVRUQEKAffvhBb7/9tvW85ORk698vvfSSJKlChQpKSEiwHq9fv75MJpOee+456/GmTZuqf//+atasmZo2bar69etLkkqWLKndu3fr77//VqNGjeTs7Gxdp3LlykpPT9epU6f066+/ysfHR05OTgoKCtLWrVv12Wef6bffftPVq1etc+rUqSMnJye5u7vL1dVVSUlJ1jE7Ozt98skn2rBhg06cOKFdu3bJzs4QdVUAAAAAAIBHymNbhPvnO+Ek6ciRIypVqpT1eGZmpi5cuGAdv1EwM5lMWeZld7xHjx5q0qSJNm7cqEmTJmnfvn16++23FRAQoKioKP39998aMGDALXG1bt1aq1at0q+//qo333xTkjR48GAVLlxYTZo0UcuWLa275W6+9o3rWywW6+8rV66offv2at26tWrVqiVPT08tWLDg3h4UAAAAAAAAcp2htk0988wzSkxM1J49eyRJy5Yt05AhQ+5rrQ4dOujKlSvq0aOHevTooUOHDkmSWrRooe3bt+vChQuqVq3aLfP8/Py0atUqnTp1Si+88IIkKSYmRgMHDlSzZs20ZcsWSdcLhP/m5MmTMplM6tOnj+rUqaO1a9fe1TwAAAAAAADkrcd2J1x2nJycNG3aNI0bN05paWlycXHRxIkT72utd955R0FBQXJwcFCBAgU0duxYSVK+fPlUvXp1Pffcc9nOe+qpp+Tm5qYaNWpYd9YNGDBAXbt2lbOzsypWrKiSJUsqNjb2X2OoWLGiKlWqJF9fX5lMJjVo0EA///zzfd0PAAAAAAAAco/JcnN/Ix6IxWLRlStX1KlTJ82dO1ceHh62Dulfvd55os6dvWTrMAAAwGMgatOHOn8+6d9PRJ7x8ChETgyM/BsXuTcucm97dnYmubu7ZD+Wx7E81vbv3y8fHx917NjxkSjAAQAAAAAAIG+wEw4AAAA5IjU1XUlJabYOAzdhR4SxkX/jIvfGRe5t70474Qz1Tjjc6uLFZJnN1GGNhn+YjYvcGxv5Ny5yDwAAYHu0owIAAAAAAAC5jJ1wBne7LZJ4/Hl4FLJ1CLARcm9s5N+4HjT3tJoCAAA8GIpwBvd6t490Li7B1mEAAICHXNTasRThAAAAHgDtqAAAAAAAAEAue2SLcLGxsfL09FRMTEyW4z4+PoqNjb3rdU6fPq33339fkrRz504FBgb+65z09HRNnTpVfn5+atOmjTp27Kiffvrp3m7gNmJjY+Xj4yNJmjZtmtavX58j6wIAAAAAAMB2Hul2VEdHR40cOVIrVqyQi8v9vdvs77//1unTp+9pzvDhw+Xk5KSlS5fK2dlZR48e1euvv66vv/5azz777H3FkZ1Bgwbl2FoAAAAAAACwnUe6CFesWDHVq1dPEydO1JgxY24Z//TTT7VixQrZ29urfv36Gjp0qM6cOaM33nhDbm5uypcvny5cuKDY2FiNHj1aLVq0UHx8vHr37q0///xTTz/9tKZPny4nJyfrmqdOndKPP/6onTt3ytnZWZLk6empKVOmKF++fJKkqVOnavv27UpMTFSxYsU0depUFS1aVN7e3vLy8tL58+e1dOlSffnll7fEd7OgoCDVrl1btWvXVv/+/VWhQgUdPnxY7u7umjZtmlxdXfXNN98oMjJSKSkpcnR01OTJk/XMM8/k4lMHAAAAAADAvXpk21FvCAoK0rZt225pS928ebM2bNigZcuWafny5Tp16pQWLVokSTpx4oQmTZqkOXPmKDg4WF5eXho1apSk6zvjQkJCtHr1al24cOGWNtPDhw+rXLlyKlCgQJbjderUUalSpXTq1CkdP35cixYt0po1a/TUU09pxYoVkqRLly6pd+/eioyM1E8//XTb+LJz5MgR9ezZU1FRUSpcuLBWrlyp5ORkrVu3TvPnz1dUVJQaN26sBQsWPPAzBQAAAAAAQM565ItwLi4uGjNmjEaOHKnk5GTr8R07duiVV15R/vz55eDgoICAAG3fvl2S5O7urlKlSmW7XsWKFVW6dGnZ2dmpfPnyunTpUpZxOzs76w647JQtW1bDhg3TkiVL9OGHH2rv3r26evWqdbxatWr/Gl923N3dVblyZUlShQoVlJiYKBcXF02ePFnR0dGaPHmyNm7cmOVaAAAAAAAAeDg88kU4SWrQoIG1LfUGs9l8y3nXrl2TJGvbaHYcHP7XoWsymWSxWLKMe3l56Y8//lBqamqW43PnzlV0dLQOHDigXr16yWw2q3nz5mrWrFmWNW5c+07xZefmwt+NuM6cOaNOnTopKSlJDRs2VLt27W6JFwAAAAAAALb3WBThpP+1pZ47d06S5O3trejoaKWmpuratWtatmyZvL29b5lnb29/x+LXP5UoUUKNGzfWmDFjlJaWJkk6dOiQvvjiC1WoUEG7d+9W7dq11aVLF5UrV06bNm1SZmbmLevcbXx3sn//fpUtW1Y9evRQlSpVtG7dumyvBQAAAAAAANt6pD/McLMbbam9evWSJDVp0kSHDx9WQECArl27pgYNGqhbt246e/Zslnnly5dXUlKShg4dqvbt29/VtcaPH6+PPvpIbdq0kZOTk/Lnz69Jkybpueee0xNPPKH+/fvLz89P0vWdc7Gxsbescbfx3Un9+vW1cOFCtWzZUhaLRbVq1dKxY8fuej4AAAAAAADyhslC/6Khvd7tI52LS7B1GAAA4CEXtXaszp9PsnUYuEceHoXIm4GRf+Mi98ZF7m3Pzs4kd3eX7MfyOBYAAAAAAADAcB6bdlTcn6++GWLrEAAAwCMgNTXd1iEAAAA80ijCGdzFi8kym+lINhq2KBsXuTc28m9c5B4AAMD2aEcFAAAAAAAAchk74Qzudi8LxOPPw6OQrUOAjZB7YyP/D7fU1HQlJaXZOgwAAADkAopwBtez51SdO5dg6zAAAICk6OjRFOEAAAAeU7SjAgAAAAAAALmMItwd7Ny5U4GBgQ+8Tps2bW47FhcXp969ez/wNQAAAAAAAPDwogiXByIjI287Vrx4cX3++ed5GA0AAAAAAADyGkW4+/Dpp5+qZcuW8vPz04cffqjMzEzFxsbKx8fHek54eLjCw8MlSZ6enpKk7du3y9/fX/7+/urZs6fi4+OzzPvtt98UGBiogIAANWnSRAsXLrSuFRwcrMDAQPn4+GjWrFmSpOTkZA0cOFCdOnVSkyZN9P7778tiseTlowAAAAAAAMBdoAh3jzZv3qwNGzZo2bJlWr58uU6dOqVFixbd1dyZM2cqNDRUERERqlevng4dOpRlfMmSJerbt6+WLVumefPmKSwszDp29OhRffnll1qyZIlmz56ty5cva9OmTapUqZIWL16sNWvWaPfu3Tp48GCO3i8AAAAAAAAeHF9HvUc7duzQK6+8ovz580uSAgIC9P3336tRo0b/Ordp06bq37+/mjVrpqZNm6p+/fqKjY21jgcFBWnr1q367LPP9Ntvv+nq1avWsTp16sjJyUnu7u5ydXVVUlKSWrVqpX379mnu3Lk6fvy4EhISsswBAAAAAADAw4GdcPfIbDbfcuzatWsymUxZWkGvXbt2y3k9evTQ/PnzVaZMGU2aNMnaVnrD4MGDtXbtWpUvX16DBw/OMubs7Gz9+8a15s+fr7CwMBUpUkTdunVT+fLlaUcFAAAAAAB4CFGEu0fe3t6Kjo5Wamqqrl27pmXLlsnb21uFCxdWQkKC4uPjlZ6erq1bt94yt0OHDrpy5Yp69OihHj163NKOGhMTo4EDB6pZs2basmWLJCkzM/O2scTExKhTp05q3bq10tLSdOTIkWyLhAAAAAAAALAt2lH/xZ49e1SjRg3rbz8/PzVu3FgBAQG6du2aGjRooG7dusnBwUFvvPGG2rdvryeffFJVqlS5Za133nlHQUFBcnBwUIECBTR27Ngs4wMGDFDXrl3l7OysihUrqmTJklnaVf+pe/fuCg0N1ezZs+Xi4qIaNWrc8XwAAAAAAADYhslC/6Kh9ew5VefOJdg6DAAAICk6erTOn0/K8XU9PArlyrp4+JF7YyP/xkXujYvc256dnUnu7i7Zj+VxLAAAAAAAAIDh0I5qcHPm/MfWIQAAgP8vNTXd1iEAAAAgl1CEM7iLF5NlNtORbDRsUTYucm9s5B8AAACwHdpRAQAAAAAAgFzGTjiDu93LAvH48/AoZOsQYCPk3tjI//1JTU1XUlKarcMAAADAI4winMH16P0xX0cFAOBfrIoMpQgHAACAB0I7KgAAAAAAAJDLDL8TbvTo0frll1+UkZGhP//8U+XLl5ckvfbaawoICLBxdAAAAAAAAHgcGL4IN2rUKElSbGysXnvtNUVGRto4IgAAAAAAADxuDF+Ey86pU6cUGhqqhIQE5cuXTyNHjlTlypUVFBQkFxcXHTx4UHFxcerXr58CAgIUHh6uuLg4nTp1Sn/99Zc6dOigt99+W5mZmQoLC9OuXbuUmZkpf39/9ejRQ2fPntWQIUN09epV2dnZKTg4WNWrV9fEiRMVExMjOzs7NWvWTP3799eVK1f0wQcf6NixY8rMzFTv3r3VqlWr264NAAAAAACAhw9FuGwMGzZMISEhqly5sn7//Xf169dPa9askSSdPXtW3377rX777bcsLatHjx7VggULlJSUpGbNmunVV19VdHS0JGn58uVKT09Xr1695OXlpR07dqhx48Z64403tGXLFv3888/y8PDQli1bFB0drZSUFA0fPlxpaWmaNWuWnn/+eU2cOFHJycnq3LmzqlWrpm3btmW79osvvmibhwYAAAAAAIDbogj3D1euXNGBAwc0fPhw67GrV6/q0qVLkqT69evLZDLpueeeU0JCgvWcOnXqyMnJSe7u7nJ1dVVSUpK2b9+uw4cPa8eOHdZ1jh49qrp162rAgAE6fPiwGjVqpG7dusne3l7Ozs7q3LmzmjRpoiFDhsjZ2Vk//fSTUlNTtWzZMusax44du+3aFOEAAAAAAAAePhTh/sFsNsvJySnLu+HOnj0rV1dXSZKzs7MkyWQyZZl34/iNMYvFoszMTA0dOlQvv/yyJCk+Pl4FCxaUs7OzoqOjtWnTJq1atUrLly/XnDlztGTJEu3atUtbtmxR586dNX/+fJnNZk2aNEnPP/+8JOnChQt64okntGzZsmzXBgAAAAAAwMPHztYBPGwKFSqkcuXKWYtwMTExevXVV+9rLW9vb3333XfKyMjQlStX1LVrV+3du1dhYWFasWKF2rVrp5CQEB06dEiHDh1St27dVKtWLQ0bNkzly5fXiRMn5O3trYULF0qSzp07p9atW+vMmTO3XRsAAAAAAAAPH3bCZWPSpEkKDQ3VF198IUdHR02dOvWWnW93o3Pnzjp16pTatWuna9euyd/fX3Xq1FGZMmX07rvvKiIiQvb29po4caIqV66s6tWrq1WrVsqfP79q1qyphg0bqnbt2goNDbV+jGHo0KEqU6bMbdcGAAAAAADAw8dksVgstg4CttOj98c6dy7B1mEAAPBQWxUZqvPnk2wdxn3z8Cj0SMeP+0fujY38Gxe5Ny5yb3t2dia5u7tkP5bHsQAAAAAAAACGQzuqwc39fLCtQwAA4KGXmppu6xAAAADwiKMIZ3AXLybLbKYj2WjYomxc5N7YyD8AAABgO7SjAgAAAAAAALmMnXAGd7uXBeLx5+FRyNYhwEbIvbE9TPlPTU1XUlKarcMAAAAA8gRFOIPr3udjxZ1PtHUYAAAD+mHZKIpwAAAAMAzaUQEAAAAAAIBc9kgW4X744Qf5+/urdevW8vPz0xdffHHfa23cuFFz5syRJIWHhys8PPxf55w7d05DhgzRK6+8otatW+utt97S6dOn7zuGm0VERCgoKEiS1Lt3b8XFxeXIugAAAAAAALCdR64dNS4uThMnTlRERITc3Nx05coVBQYG6umnn1bTpk3veb0DBw7c0/lXr15VYGCgXn/9dU2aNEkmk0krVqxQz549tXr1ajk6Ot5zDLfz+eef59haAAAAAAAAsJ1Hrgh36dIlZWRkKDU1VZJUsGBBffjhh3J2dpYk7d27V+PGjVNaWprc3Nz0wQcfqGzZsgoMDFT//v1Vp04dxcbG6rXXXtPs2bO1aNEiSVKJEiUkSfv27VPnzp0VFxcnf39/DRgwIMv1o6OjVaRIEXXq1Ml6rHXr1nJyclJ6errS0tL0/vvvKy4uTufOnVPdunU1btw47dq1S5MmTZLZbFaFChUUGhqq4OBgHT16VCaTSb169VLbtm2zXMvHx0fz5s3Trl27tHXrViUmJur06dOqX7++QkNDde3aNYWGhurYsWO6cOGCPD09NWXKFOXLly+3Hj8AAAAAAADuwyNXhKtYsaKaNm2qZs2aqVKlSqpTp478/PxUtmxZpaen65133tHHH3+sqlWravXq1XrnnXe0bNmybNd69tln1blzZ0lSQECAwsPDdfHiRS1atEjJycny8fFRz5495eLyvy+IHj58WM8///wta7Vo0UKSFBUVpUqVKmn69OlKT0/XK6+8ooMHD0qSTp48qY0bN6pQoUIKCwuTm5uboqKiFB8frw4dOqhixYq3ve9ff/1VUVFRsre3V4sWLdSlSxddvnxZjo6OWrx4scxms7p3767NmzerefPm9/18AQAAAAAAkPMeuSKcJI0ePVp9+/bVtm3btG3bNnXs2FEfffSRypUrp8KFC6tq1aqSJF9fX4WEhCgpKemu137ppZfk5OSkIkWKyM3NTYmJiVmKcHZ2dnJycrrt/FatWmnfvn2aO3eujh8/roSEBF29elWS9PTTT6tQoUKSpB07dmj8+PGSpCJFiqhp06batWtXlmvdrEaNGtax0qVLKzExUbVr15arq6sWLFig48eP6+TJk9ZrAQAAAAAA4OHxyH2YYdOmTVq1apWKFy+ugIAATZ06VcHBwVq6dKnMZvMt51ssFmVmZlr/lqRr167ddn0Hh//VJU0mk3XODV5eXtm+R27EiBE6duyY5s+fr7CwMBUpUkTdunVT+fLlrWvc3Cb6z3VvjjM7N9ptb45r/fr1GjJkiPLlyyd/f3/VqlXrlnUBAAAAAABge49cES5fvnyaPHmyYmNjJV0vXh0+fFiVKlXSM888o4SEBO3bt0+StGrVKpUoUUKurq5yc3PT77//Lklat26ddT17e/s7FuX+qUWLFvrrr7+0ZMkS67Fly5Zp165dKlu2rGJiYtSpUye1bt1aaWlpOnLkSLbFQW9vby1dulSSFB8fr/Xr16t27dr39Cy2b98uX19fBQQEqHDhwtq5c+cdC3kAAAAAAACwjUeuHdXb21v9+/dXnz59lJGRIel6C2m/fv3k5OSkqVOnasyYMUpJSdETTzyhqVOnSpLeeOMNBQUFadmyZVm+olqrVi0NGzZMRYsWvavr58uXT3PnztX48eM1d+5cmUwmlSpVSl999ZWcnJzUvXt3hYaGavbs2XJxcVGNGjUUGxurMmXKZFmnX79+Cg0NlZ+fnzIzM9WnTx89//zzOnr06F0/iw4dOmjIkCGKjo6Wo6OjatasaS1OAgAAAAAA4OFhstC/aGjd+3ysuPOJtg4DAGBAPywbpfPn7/69rbh/Hh6FeNYGRe6NjfwbF7k3LnJve3Z2Jrm7Z/++/0euHRUAAAAAAAB41Dxy7ajIWV9/OtjWIQAADCo1Nd3WIQAAAAB5hiKcwV28mCyzmY5ko2GLsnGRe2Mj/wAAAIDt0I4KAAAAAAAA5DJ2whnc7V4WiMefh0chW4cAGyH3xvYg+U9NTVdSUloORgMAAAAYB0U4gwvsP42vowIA7sqPi0MowgEAAAD3iXZUAAAAAAAAIJdRhLsPsbGx8vT0VEhISJbjhw8flqenpyIiItSmTZs8j2vEiBHav39/nl8XAAAAAAAAd0Y76n1ydXXV1q1blZmZKXt7e0nSqlWrVKRIEUlSZGRknsc0bty4PL8mAAAAAAAA/h074e5TwYIFValSJe3evdt6LCYmRvXq1ZMkeXp6SpK2b98uf39/+fv7q2fPnoqPj1dycrLefPNN6/H169dLkk6cOKHAwED5+fmpU6dO2rdvnyQpKChIERER1uvcWDs8PFy9evVSy5Yt9e233yowMFA7d+7Mk/sHAAAAAADA3aMI9wB8fX21Zs0aSdK+ffvk6ekpR0fHLOfMnDlToaGhioiIUL169XTo0CGtXbtWJUuWVEREhMaNG6c9e/ZIkoYOHarAwECtXLlSw4cP16BBg5Senn7HGNLT07Vq1Sp17do1d24SAAAAAAAAD4wi3APw8fHRli1bZDabtXr1avn6+t5yTtOmTdW/f3998MEHqly5sho0aKAaNWpo3bp16tu3r/bv369+/frpypUr+vPPP/Xyyy9LkqpXr64nnnhCx48fv2MMVatWzZV7AwAAAAAAQM6hCPcAChYsqIoVK+rnn3/Wjh07rK2oN+vRo4fmz5+vMmXKaNKkSZo1a5bKlSun1atXy8/PT3v27FH79u1lsVhumWuxWJSZmSmTyWQdz8jIyHJOvnz5cufmAAAAAAAAkGMowj0gX19fTZ48WV5eXnJwuPU7Fx06dNCVK1fUo0cP9ejRQ4cOHdI333yj8PBw+fr6atSoUYqPj5fZbFapUqX0448/SpL27t2rCxcuqEKFCnJ1ddXvv/8uSVq3bl2e3h8AAAAAAAAeHF9HfUBNmjTRiBEjNGjQoGzH33nnHQUFBcnBwUEFChTQ2LFjVbRoUb3zzjvy8/OTvb29hg4dqsKFC2vSpEkKDQ1VeHi4HB0dFR4eLicnJ3Xp0kWDBw+Wn5+fvL295eHhkcd3CQAAAAAAgAdhsmTXBwnDCOw/TXHnE20dBgDgEfDj4hCdP59k6zBwHzw8CpE7gyL3xkb+jYvcGxe5tz07O5Pc3V2yH8vjWAAAAAAAAADDoR3V4ObPyL6NFgCAf0pNTbd1CAAAAMAjiyKcwV28mCyzmY5ko2GLsnGRe2Mj/wAAAIDt0I4KAAAAAAAA5DJ2whnc7V4WiMefh0chW4cAGyH3D7fU1HQlJaXZOgwAAAAAOYwinMG9OnC64i7wdVQAeFis+3YkRTgAAADgMUQ7KgAAAAAAAJDLKMI9oC5duig6OjrLsatXr8rT01O9e/e+p7VGjBih/fv333Y8Li7untcEAAAAAACA7VGEe0ABAQFauXJllmM//vijmjdvrs8///ye1ho3bpyqVKly2/HixYvf85oAAAAAAACwPd4J94B8fX0VFhamhIQEubq6SpJWrFihZs2aycfHRxs2bFBQUJASEhJ06tQpDR06VAULFtTYsWNlb2+v6tWr648//tD8+fMVGBio/v37S5I+++wz5cuXT3/88Yc8PT310Ucf6dy5c3rttde0YcMG/fbbbxozZoyuXr2q+Ph4vfnmm+rSpYsNnwQAAAAAAABuh51wD6hgwYJq2rSpfvjhB0nXW0ZPnDihBg0aZDnP1dVVq1ev1ksvvaT33ntPkyZN0vfffy8Hh+zroL/++qtCQkK0evVq/f3339q2bVuW8SVLlqhv375atmyZ5s2bp7CwsNy5QQAAAAAAADwwinA5wN/fX1FRUZKklStXqnXr1rKzy/poq1atKkn67bff5O7urooVK0qS2rdvn+2aFSpU0JNPPik7OzuVL19eiYlZv2AaFBSktLQ0ffbZZ/r444919erVnL4tAAAAAAAA5BCKcDmgVq1aOn/+vM6cOaMVK1YoICDglnPy5csnSbK3t5fZbP7XNZ2dna1/m0wmWSyWLOODBw/W2rVrVb58eQ0ePPjBbgAAAAAAAAC5iiJcDmnbtq1mzZqlJ554QmXKlLntec8884wuX76so0ePStItH3W4WzExMRo4cKCaNWumLVu2SJIyMzPvay0AAAAAAADkLj7MkEP8/f3l4+OjcePG3fE8JycnhYWFadiwYbKzs9PTTz9t3SV3LwYMGKCuXbvK2dlZFStWVMmSJRUbG6uyZcve7y0AAAAAAAAgl5gs/+xzRK4ym8366KOP1L9/fxUoUEBz5sxRXFycgoKCbBLPqwOnK+5C4r+fCADIE+u+Hanz55NyZW0Pj0K5tjYebuTeuMi9sZF/4yL3xkXubc/OziR3d5dsx9gJl8fs7Ozk6uqq9u3by9HRUSVLlvzX3XMAAAAAAAB4tLETDgCAh0hqarqSktJyZW3+n1HjIvfGRe6NjfwbF7k3LnJve+yEw21dvJgss5k6rNHwD7NxkXsAAAAAsA2+jgoAAAAAAADkMnbCGdzttkji8efhUcjWIcBGyP3DKTfbUAEAAADYHkU4g+vyDl9HBYCHwYZ5IynCAQAAAI8x2lEBAAAAAACAXPZIFuFiY2Pl6empkJCQLMcPHz4sT09PRURE5HlM4eHhCg8Pz7X1v/vuO0VFRUmSNm7cqDlz5uTatQAAAAAAAJCzHskinCS5urpq69atyszMtB5btWqVihQpYsOocs8vv/yi9PR0SdKBAweUnJxs44gAAAAAAABwtx7Zd8IVLFhQFStW1O7du+Xt7S1JiomJUb169SRJ33zzjSIjI5WSkiJHR0dNnjxZzzzzjCZOnKiYmBjZ2dmpWbNm6t+/v7Zv365JkyZJkp544glNnjxZRYoU0dSpU7V9+3YlJiaqWLFimjp1qooWLaqVK1dq1qxZMplMqlKlisaMGSNJ2rdvnzp37qy4uDj5+/trwIABioiI0K5du/Thhx9KkgIDA9W/f3+VLVtWQ4YM0dWrV2VnZ6fg4GBVr15d+/bt04QJE5Samio3NzeNHj1ap0+f1oYNG7Rjxw4lJSVp0aJFkqQSJUqoRIkS2cYOAAAAAACAh8cjW4STJF9fX61Zs0be3t7at2+fPD09ZbFYlJycrA0bNmj+/PnKly+fpk2bpgULFuj111/Xli1bFB0drZSUFA0fPlxpaWmaOXOmQkNDVbVqVX3++ec6dOiQSpcurePHj2vRokWys7PTe++9pxUrVuiVV17RhAkTFBERoSeffFJDhw7V5s2bJUkXL17UokWLlJycLB8fH/Xs2fO2sS9dulSNGzfWG2+8oS1btujnn39W5cqVFRwcrE8//VQlSpTQ1q1bNXLkSM2dO1c+Pj6qXbu2/P39dfnyZUlSQECAAgMDb4m9QYMGefL8AQAAAAAAcHce6SKcj4+PPv74Y5nNZq1evVq+vr5atWqVXFxcNHnyZEVHR+vkyZPaunWrKlWqpOLFi8vZ2VmdO3dWkyZNNGTIEDk7O6tp06bq37+/mjVrpqZNm6p+/fqSpGHDhmnJkiU6ceKE9u7dqzJlyujXX39VzZo19eSTT0qSdRfa4cOH9dJLL8nJyUlFihSRm5ubEhNv/9XRunXrasCAATp8+LAaNWqkbt266eTJkzp9+rTefvtt63n/1nZ6u9gBAAAAAADw8Hhk3wkn/a8l9eeff9aOHTusrahnzpxRp06dlJSUpIYNG6pdu3ayWCxycHDQkiVLNGjQICUkJKhz5846ceKEevToofnz56tMmTKaNGmSZs2apQMHDqhXr14ym81q3ry5mjVrZl3DZDJZY4iPj1d8fLwkycHhfzVNk8kki8Vi/e8NGRkZkqQXXnhB0dHRatCggVatWqU+ffrIbDarVKlSioyMVGRkpCIiIvTtt9/e8RlkFzsAAAAAAAAeLo90EU663pI6efJkeXl5WYtgBQoUUNmyZdWjRw9VqVJF69atU2Zmpg4dOqRu3bqpVq1aGjZsmMqXL68TJ06oQ4cOunLlinr06KEePXro0KFD2r17t2rXrq0uXbqoXLly2rRpkzIzM1WlShXt3btX58+flySNHz9e69evv218bm5u+uOPP2SxWHT69GkdPXpUkhQWFqYVK1aoXbt2CgkJ0aFDh/TMM88oMTFRe/bskSQtW7ZMQ4YMkSTZ29tbP0Jhb2+va9euSVK2sQMAAAAAAODh8ki3o0pSkyZNNGLECA0aNMh6zNHRUWazWS1btpTFYlGtWrV07NgxVa5cWdWrV1erVq2UP39+1axZUw0bNlT+/PkVFBQkBwcHFShQQGPHjlX+/PnVv39/+fn5SZK8vLwUGxur4sWLa8SIEdZdctWrV5e/v79mzpyZbXz16tXTsmXL1KJFCz399NN64YUXJF3/QMO7776riIgI2dvba+LEiXJyctK0adM0btw4paWlycXFRRMnTrSuM2XKFBUqVMhaRCxatKjeeeedW2IHAAAAAADAw8VkublXEobT5Z3pirtw+3fXAQDyxoZ5I3X+fFKuXsPDo1CuXwMPJ3JvXOTe2Mi/cZF74yL3tmdnZ5K7u0v2Y3kcCwAAAAAAAGA4j3w7Kh7MwikDbR0CAEBSamq6rUMAAAAAkIsowhncxYvJMpvpSDYatigbF7kHAAAAANugHRUAAAAAAADIZeyEM7jbvSwQjz8Pj0K2DgE2Qu5tKzUtXUmX02wdBgAAAIA8RhHO4DoPna6zF/k6KgDklU1fjVSSKMIBAAAARkM7KgAAAAAAAJDLKMLlEE9Pz3s6Pzw8XOHh4ZKkNm3a5EZIAAAAAAAAeEhQhHsIREZG2joEAAAAAAAA5CLeCZfDdu7cqc8++0z58uXTH3/8IU9PT3300UdycnLSF198oe+++05ubm4qXLiwqlatKun6LrqjR48qLi5O77//vpKSknTu3Dm1a9dOgwYNUkREhLZu3arExESdPn1a9evXV2hoqK5du6bQ0FAdO3ZMFy5ckKenp6ZMmaJ8+fLZ+CkAAAAAAADgZhThcsGvv/6q1atXq1ixYurYsaO2bdsmDw8PLVu2TMuXL5fJZFKnTp2sRbgboqKi1KpVK7Vr105JSUlq1KiRAgMDrWtGRUXJ3t5eLVq0UJcuXXT58mU5Ojpq8eLFMpvN6t69uzZv3qzmzZvb4rYBAAAAAABwGxThckGFChX05JNPSpLKly+vxMREnThxQo0aNVLBggUlSS1atJDZbM4yr1evXtqxY4e+/PJLHTt2TBkZGUpJSZEk1ahRQy4uLpKk0qVLKzExUbVr15arq6sWLFig48eP6+TJk7p69Woe3ikAAAAAAADuBu+EywXOzs7Wv00mkywWi/W/Nzg43Fr//PDDDzV//nyVKFFCb7/9ttzc3Kxzsltz/fr1GjJkiPLlyyd/f3/VqlUryzUAAAAAAADwcKAIl0fq1q2rjRs3KikpSWlpaVq7du0t58TExKhXr17y9fXViRMnFBcXd8tuuZtt375dvr6+CggIUOHChbVz505lZmbm5m0AAAAAAADgPtCOmkcqVaqk7t27q3379ipcuLBKlChxyzlvvfWW3nvvPeXLl09PPvmkvLy8FBsbe9s1O3TooCFDhig6OlqOjo6qWbPmHc8HAAAAAACAbZgs9C8aWueh03X2YqKtwwAAw9j01UidP59kk2t7eBSy2bVhW+TeuMi9sZF/4yL3xkXubc/OziR3d5fsx/I4FgAAAAAAAMBwaEc1uEWTBto6BAAwlNS0dFuHAAAAAMAGKMIZ3MWLyTKb6Ug2GrYoGxe5BwAAAADboB0VAAAAAAAAyGXshDO4270sEI8/D49Ctg4BNkLu80ZKWrqSL6fZOgwAAAAADwmKcAbXMYivowJAbtjy+UgliyIcAAAAgOtoRwUAAAAAAAByGUW4uxAbGytPT0+FhIRkOX748GF5enoqIiLigdYPCgp64DUkaefOnQoMDHzgdQAAAAAAAJCzKMLdJVdXV23dulWZmZnWY6tWrVKRIkVsGBUAAAAAAAAeBbwT7i4VLFhQFStW1O7du+Xt7S1JiomJUb169SRJ33zzjSIjI5WSkiJHR0dNnjxZzzzzjHx8fFS1alUdPnxY3t7ecnV11X/+8x9J13fANWzYMMt1pk6dqu3btysxMVHFihXT1KlTVbRoUTVo0EDNmzfXzz//LHt7e3388ccqXbq0tm3bpgkTJsjZ2VlPP/103j4UAAAAAAAA3BV2wt0DX19frVmzRpK0b98+eXp6ytHRUcnJyVq3bp3mz5+vqKgoNW7cWAsWLLDOa9iwodasWaM33nhDK1eulMViUUpKinbs2KGmTZtazzt16pSOHz+uRYsWac2aNXrqqae0YsUKSdL58+dVt25dff/996pVq5YWLFig9PR0BQUFafr06YqIiFC+fPny9oEAAAAAAADgrlCEuwc+Pj7asmWLzGazVq9eLV9fX0mSi4uLJk+erOjoaE2ePFkbN27U1atXrfOqVasmSSpdurRKliyp3bt3a82aNWrUqJGcnZ2t55UtW1bDhg3TkiVL9OGHH2rv3r1Z1nnppZckSRUqVFBiYqKOHj2qYsWKqXz58pKkdu3a5fozAAAAAAAAwL2jCHcPbrSk/vzzz9qxY4e1FfXMmTPq1KmTkpKS1LBhQ7Vr104Wi8U67+ZCW0BAgKKiohQVFSV/f/8s6x84cEC9evWS2WxW8+bN1axZs2zXMZlMslgs1v/eYG9vnyv3DQAAAAAAgAdDEe4e+fr6avLkyfLy8pKDw/VX6hUoUEBly5ZVjx49VKVKFa1bty7LBxxu1qJFC23fvl0XLlyw7pC7Yffu3apdu7a6dOmicuXKadOmTbddR5I8PT114cIFHTlyRJIUHR2dQ3cJAAAAAACAnMSHGe5RkyZNNGLECA0aNMh6zNHRUWazWS1btpTFYlGtWrV07NixbOfny5dP1atX13PPPXfLWMuWLdW/f3/5+flJkry8vBQbG3vbWBwdHTVlyhQNHTpUDg4Oqly58gPeHQAAAAAAAHKDyXJzPyNylcVi0ZUrV9SpUyfNnTtXHh4etg5JHYOm6+zFRFuHAQCPnS2fj9T580m2DiMLD49CD11MyBvk3rjIvbGRf+Mi98ZF7m3Pzs4kd3eX7MfyOBZD279/v3x8fNSxY8eHogAHAAAAAACAvEE7ah6qWrWqdu3aZeswsvjuw4G2DgEAHkspaem2DgEAAADAQ4QinMFdvJgss5mOZKNhi7JxkXsAAAAAsA3aUQEAAAAAAIBcxk44g7vdywLx+PPwKGTrEGAj5D53paSlK/lymq3DAAAAAPCQoQhncO1HTNfZeL6OCgA5ZduskUoWRTgAAAAAWdGOCgAAAAAAAOQyinB3KTY2Vp6engoJCcly/PDhw/L09FRERITatGlzxzU8PT2zPd67d2/FxcXlWKwAAAAAAAB4uNCOeg9cXV21detWZWZmyt7eXpK0atUqFSlSRJIUGRl5X+t+/vnnORYjAAAAAAAAHj7shLsHBQsWVKVKlbR7927rsZiYGNWrV0/S/3a6JSQkqF+/fvL19VWbNm20fft26/khISFq3bq1WrdurVOnTkmSfHx8FBsbq4yMDL3//vtq3ry5XnvtNXXv3l07d+7UtWvXFBwcrE6dOqlp06bq27evUlNTFRsbq7Zt22ro0KFq1aqVunfvroSEhLx7IAAAAAAAALgrFOHuka+vr9asWSNJ2rdvnzw9PeXo6JjlnGnTpqlMmTJavXq1wsLC9PHHH1vH6tWrpxUrVqh+/fpatGhRlnmLFi1SSkqKfvjhB02YMEH79++XJP36669ydHTU4sWLtXbtWiUlJWnz5s2SpCNHjqhnz56KiopS4cKFtXLlyly8ewAAAAAAANwPinD3yMfHR1u2bJHZbNbq1avl6+t7yzm7d++2vh/O09NTixcvto41a9ZMkvTss8/esmstJiZGfn5+MplMKlmypOrWrStJqlWrlrp27aoFCxZo3LhxOnnypK5evSpJcnd3V+XKlSVJFSpUUGIiXzoFAAAAAAB42FCEu0cFCxZUxYoV9fPPP2vHjh3WVtSbOTg4yGQyWX//8ccfMpvN1jFJMplMslgsWebZ29tbz7vZ+vXrNWTIEOXLl0/+/v6qVauWda6zs7P1vOzWBAAAAAAAgO1RhLsPvr6+mjx5sry8vKxFtZu9+OKLio6OlnS9ANe7d+8sRbnbqVevnlatWiWLxaK4uDjt2rVLJpNJ27dvl6+vrwICAlS4cGHt3LlTmZmZOX5fAAAAAAAAyB18HfU+NGnSRCNGjNCgQYOyHR84cKCCg4PVunVrOTg4KCws7K6KcB07dtSRI0fk5+cnDw8PlShRQvny5VOHDh00ZMgQRUdHy9HRUTVr1lRsbGxO3xYAAAAAAAByiclC/+JDY9OmTbJYLGrSpImSkpLUtm1bLVu2TK6urrl2zfYjputsPO+RA4Ccsm3WSJ0/n2TrMLLl4VHooY0NuYvcGxe5Nzbyb1zk3rjIve3Z2Znk7u6S7Rg74R4i5cuX13vvvWf9murAgQNztQAHAAAAAACAvEER7iFSunRpLVy4ME+vuXTcwDy9HgA87lLS0m0dAgAAAICHEEU4g7t4MVlmMx3JRsMWZeMi9wAAAABgG3wdFQAAAAAAAMhl7IQzuNu9LBCPPw+PQrYOATZC7v9dSlq6ki+n2ToMAAAAAI8RinAG5x/C11EB4J9+mjFSyaIIBwAAACDn0I4KAAAAAAAA5DLDFeFiY2Pl6empmJiYLMd9fHwUGxub49fbuXOnAgMDc3xdAAAAAAAAPDoMV4STJEdHR40cOVLJycm2DgUAAAAAAAAGYMgiXLFixVSvXj1NnDgx2/HZs2erXbt2at26tcLCwmSxWNSnTx9t3rxZkjRlyhS98cYbkqRz586pVatWd3XdCxcuqG/fvvL391dAQIB++uknSVJ4eLh69eqlli1b6ttvv9WcOXPUunVrtW3bViEhIZKkzMxMTZgwwRrX3LlzJUlDhw7Vd999Z71GYGCg/vvf/97XcwEAAAAAAEDuMGQRTpKCgoK0bdu2W9pSt2zZogMHDmjp0qX6/vvvFRcXpxUrVqhRo0basWOHJGnPnj06fvy4MjMztXXrVjVq1Oiurjlu3DgFBAQoIiJCs2bNUkhIiHU3Xnp6ulatWqVOnTrps88+07JlyxQREaGMjAzFxcVZC23Lly/X0qVLtX79eu3Zs0cBAQGKjIyUJP3111+Kj49XtWrVcuoxAQAAAAAAIAcY9uuoLi4uGjNmjEaOHKkVK1ZYj2/fvl379u2Tv7+/JCk1NVUlSpRQ165d9fbbb1uLZp6enjp48KC2bNly1+98++mnn3T8+HFNnz5dknTt2jWdPn1aklS1alVJkr29vWrUqKH27duradOm6tmzp4oXL67t27fr8OHD1kLg1atXdfToUXXt2lUjR45UbGysIiMj1aZNm5x5QAAAAAAAAMgxhi3CSVKDBg1uaUvNzMxU9+7d1bNnT0nS5cuXZW9vr4IFC8psNuvHH39UzZo1VbRoUe3YsUMHDx5UjRo1sqx76NAh5c+fX08//bQsFovs7e0lSWazWV9//bVcXV0lXW9ldXd317p165QvXz7r/JkzZ2rv3r3asmWL3njjDX300UfKzMzU0KFD9fLLL0uS4uPjVbBgQZlMJrVt21bR0dFavXq1vvzyy9x8ZAAAAAAAALgPhm1HveFGW+q5c+ckSd7e3oqMjNSVK1d07do19evXT2vWrJEkNWzYULNmzVLt2rXl7e2t+fPnq1q1atYi2w0bNmzQkiVLJElHjx5V6dKlrWt/++23kqTff/9dfn5+SklJyTI3Pj5eLVu21HPPPadBgwapfv36Onr0qLy9vfXdd98pIyNDV65cUdeuXbV3715Jkr+/vxYtWqSnnnpKxYsXz7VnBQAAAAAAgPtj6J1w0v/aUnv16iVJ8vHx0ZEjR9SxY0dlZmbqpZdeUrt27SRJjRs31pw5c/TCCy+oQIECysjIUJMmTW5Zs0uXLho8eLBeeeUVFShQQFOnTpUkBQcHKyQkRH5+fpKksLAwubi4ZJlbpEgRderUSe3bt7fupgsICJCjo6NOnTqldu3a6dq1a/L391edOnUkSU899ZSeeuopa5wAAAAAAAB4uJgsFovF1kHg/lksFp07d06BgYGKioqSk5PTPc33D5mus/GJuRQdADyafpoxUufPJ9k6jBzn4VHosbwv/Dtyb1zk3tjIv3GRe+Mi97ZnZ2eSu7tL9mN5HAty2Jo1a9SmTRu9884791yAAwAAAAAAQN4wfDvqo65FixZq0aLFfc+P+GBgDkYDAI+HlLR0W4cAAAAA4DFDEc7gLl5MltlMR7LRsEXZuMg9AAAAANgG7agAAAAAAABALmMnnMHd7mWBePx5eBSydQiwEXJ/eylp6Uq+nGbrMAAAAAA8hijCGVy70XwdFQBu2D5tpJJFEQ4AAABAzqMdFQAAAAAAAMhlFOHu0W+//SZPT0+tWbPGeszHx0exsbG3nbNz504FBgbmRXgAAAAAAAB4CFGEu0fLli1TixYttHjxYluHAgAAAAAAgEcE74S7BxkZGVq5cqUWLFigzp07688//1SZMmWs48nJyXr//fcVFxenc+fOqW7duho3bpwk6dKlS+rVq5fOnTunqlWratSoUXJyctI333yjyMhIpaSkyNHRUZMnT9YzzzwjHx8fvfLKK4qJiZGDg4P69u2rr776SqdOndKwYcPUsmVL/fbbbxozZoyuXr2q+Ph4vfnmm+rSpYutHg8AAAAAAABug51w92Dz5s0qUaKEnn76aTVr1uyW3XCbNm1SpUqVtHjxYq1Zs0a7d+/WwYMHJUmxsbEaOXKkVqxYoStXrmjhwoVKTk7WunXrNH/+fEVFRalx48ZasGCBdb2iRYsqIiJC5cuX1+zZs/XVV19p0qRJmj17tiRpyZIl6tu3r5YtW6Z58+YpLCws7x4GAAAAAAAA7hpFuHuwbNkytWrVSpLUsmVLRUREKD093TreqlUr1a9fX3PnztXYsWOVkJCgq1evSpJefPFFlStXTiaTSX5+ftq1a5dcXFw0efJkRUdHa/Lkydq4caP1fElq2LChJKlEiRKqVauWHBwcVKJECV2+fFmSFBQUpLS0NH322Wf6+OOPs8wFAAAAAADAw4N21Lt08eJFbd26VQcPHtS8efNksVh0+fJlrV271nrO/PnztWbNGnXs2FH16tXTb7/9JovFIklycPjfo7ZYLHJwcNCZM2cUGBiobt26qWHDhipatKgOHz5sPc/R0dH6983zbxg8eLAKFy6sJk2aqGXLloqKisqNWwcAAAAAAMADogh3lyIjI+Xt7a0vvvjCeiw8PFyLFi2y/o6JiVGnTp3k5+en/fv368iRIzKbzbKzs9PPP/+sv//+W08++aS+//57vfTSS9q/f7/Kli2rHj16KDU1VdOnT9eTTz551zHFxMRo9erVKl68uLWNNTMzU/b29jl34wAAAAAAAHhgFOHu0vLly/Wf//wny7FXX31VX3zxhVxcXCRJ3bt3V2hoqGbPni0XFxfVqFFDsbGxKlOmjJ599lm9//77On/+vLy9vdW+fXulpqZq4cKFatmypSwWi2rVqqVjx47ddUwDBgxQ165d5ezsrIoVK6pkyZKKjY1V2bJlc/TeAQAAAAAA8GBMlhv9kjCkdqOn62x8oq3DAICHwvZpI3X+fJKtw8g1Hh6FHuv7w+2Re+Mi98ZG/o2L3BsXubc9OzuT3N1dsh/L41gAAAAAAAAAw6Ed1eCWjxpo6xAA4KGRkpb+7ycBAAAAwH2gCGdwFy8my2ymI9lo2KJsXOQeAAAAAGyDdlQAAAAAAAAgl7ETzuBu97JAPP48PArZOgTYSF7kPiUtXcmX03L9OgAAAADwqKAIZ3Btx07XmUt8HRVAzto5eaSSRREOAAAAAG6gHRUAAAAAAADIZRThbtKzZ0+tW7fO+nvixImqUaOG0tP/97W8Bg0aqHfv3oqLi7NFiDa9NgAAAAAAAO4PRbibeHt76+eff7b+/umnn1S9enXrsVOnTqlAgQL6/PPPVbx4cZvEaMtrAwAAAAAA4P7wTrib1K1bV+PHj5ckxcXFycnJSc2bN9e2bdtUt25d7dmzR/Xr15ePj4/mzZun5ORkhYSE6Nq1a3J2dtaECRNUrlw5rVy5UrNmzZLJZFKVKlU0ZswYXbt2TcHBwTp69KhMJpN69eqltm3bKiIiQlu3blViYqJOnz6t+vXrKzQ0VGfPntWQIUN09epV2dnZKTg4WNWrV7dee9euXdnOAwAAAAAAwMOHnXA3ef755/Xnn38qLS1N27ZtU/369VW/fn1t27ZNkqxFuBu+/vpr9ezZUxEREerYsaP27t2ruLg4TZgwQV999ZWio6OVmZmpzZs3Kzw8XG5uboqKitLXX3+t8PBwHTlyRJL066+/avr06VqxYoU2btyoo0ePaunSpWrcuLEiIiI0cODALDv0bshuHgAAAAAAAB4+FOFuYm9vr2rVqmn//v3atm2bGjRooNKlSys1NVWJiYn69ddf5e3tbT2/UaNGGjNmjN5//30VKlRIfn5++vXXX1WzZk09+eSTkqRJkyapWbNm2rFjh9q3by9JKlKkiJo2bapdu3ZJkmrUqCEXFxflz59fpUuXVmJiourWrauvvvpK7777rhISEtStW7db4s1uHgAAAAAAAB4+FOH+wdvbW7/88ov27dun6tWrS7reprp+/Xq5ubnJxcXFem6LFi20fPlyVa1aVXPnztWoUaPk4OAgk8lkPSc+Pl7x8fGyWCxZrmOxWJSZmSlJcnZ2th43mUyyWCx64YUXFB0drQYNGmjVqlXq06fPLbFmNw8AAAAAAAAPH4pw/1C3bl1FRkbqueeek4PD9Vfm1a9fX3PmzMnSiipJgwcP1v79+9W5c2cNGjRIhw4dUpUqVbR3716dP39ekjR+/HitX79e3t7eWrp0qaTrhbn169erdu3at40jLCxMK1asULt27RQSEqJDhw7l0h0DAAAAAAAgt/Fhhn947rnnlJCQoK5du1qPeXt7a/DgwapXr16Wc/v06aMRI0bok08+kaOjo0JDQ1W8eHGNGDFCvXr1ktlsVvXq1eXv76+UlBSFhobKz89PmZmZ6tOnj55//vnbvsctMDBQ7777riIiImRvb6+JEyfm6n0DAAAAAAAg95gs9DAaWtux03XmEu+SA5Czdk4eqfPnk2wdBv7Bw6MQeTEocm9c5N7YyL9xkXvjIve2Z2dnkru7S/ZjeRwLAAAAAAAAYDi0oxrc98EDbR0CgMdQSlq6rUMAAAAAgIcKRTiDu3gxWWYzHclGwxZl4yL3AAAAAGAbtKMCAAAAAAAAuYydcAZ3u5cF4vHn4VHI1iEgj6SkpSv5cpqtwwAAAAAAQ6MIZ3CtJ0zj66jAY253WIiSRREOAAAAAGyJdlQAAAAAAAAgl1GEuws7d+5UYGCg9XdycrI6duyoDz/88J7X+u677xQVFXVfcXh6et7XPAAAAAAAANgWRbh7dOXKFb3xxhuqXbu2goKC7nn+L7/8ovT09FyIDAAAAAAAAA8rinD34OrVq3rzzTfl7e2tIUOGSJK2bNmi9u3bq23bturfv78uXbokSfLx8dHHH3+s9u3b65VXXtGBAwf0008/acOGDZo+fbq2bt2qoKAgRUREWNe/sdMtISFB/fr1k6+vr9q0aaPt27dnieOXX37Ryy+/rBMnTsjHx0cnTpywxteoUSOlpfHuJwAAAAAAgIcJRbi7lJKSorfeeku//fabevToIUmKj4/X5MmT9eWXX+r7779XgwYN9NFHH1nnuLq6aunSpercubM+++wz1atXTz4+Pho4cKBeeuml215r2rRpKlOmjFavXq2wsDB9/PHH1rEjR45oxIgR+vTTT/X000+rbdu2WrFihSTpxx9/VOPGjeXs7JwrzwAAAAAAAAD3hyLcXdq/f7/q1q2rli1bKjg4WJL03//+V2fOnNFrr72mNm3aaMGCBTp16pR1zo1CW4UKFZSQkHDX19q9e7fatGkj6fruuMWLF1vHevXqpXr16umZZ56RJPn7+1vfMbd8+XL5+/s/0H0CAAAAAAAg5znYOoBHRY0aNdS3b1+lpKSobdu2WrhwoTw8PFSzZk19+umnkqS0tDRduXLFOufGjjSTyZTtmiaTSRaLRZKUkZFhPe7g4JBlzh9//KGnn35akvTRRx/pvffeU4cOHVSxYkWVKlVKJUqU0I8//qiLFy+qWrVqOXvjAAAAAAAAeGDshLtLjo6OkqT8+fMrLCxMkyZNUpEiRbR3717rO9lmzpypsLCwO65jb2+vzMxMSdfbVX///XdJ0rp166znvPjii4qOjpZ0vQDXu3dva1Gubt26evfddxUcHCyz2SxJCggI0NixY9W6descvGMAAAAAAADkFIpw96FatWrq0aOHRo0apfHjx2vw4MHy8/PTwYMHNWzYsDvOrVevnj799FP98MMP6tKli3bu3Ck/Pz/98ssv8vDwkCQNHDhQJ0+eVOvWrTV06FCFhYVl2RnXtm1bFShQQPPnz5ckvfzyy0pMTLS2sAIAAAAAAODhYrLc6IfEI8lisWjLli1auHChtS32XrSeME1nLiXmQmQAHha7w0J0/nySJMnDo5D1bxgP+Tcucm9c5N7YyL9xkXvjIve2Z2dnkru7S7ZjvBPuETd+/Hht3LhRn3/+ua1DAQAAAAAAwG2wEw4AHnMpaelKvpwmif9nzOjIv3GRe+Mi98ZG/o2L3BsXubc9dsLhti5eTJbZTB3WaPiHGQAAAACAvMWHGQAAAAAAAIBcxk44g7vdFkk8/jw8Ctk6hMfGze2eAAAAAABkhyKcwflNnKYzCXwdFXgQeyaEKFkU4QAAAAAAt0c7KgAAAAAAAJDLKMJJio2Nlaenp0JCQrIcP3z4sDw9PRUREaE2bdrc87ojRozQ/v3772nOwoULtXDhwnu+1v1eDwAAAAAAALmPdtT/z9XVVVu3blVmZqbs7e0lSatWrVKRIkUkSZGRkfe85rhx4+55TpcuXe55zoNcDwAAAAAAALmPnXD/X8GCBVWpUiXt3r3beiwmJkb16tWTJHl6ekqStm/fLn9/f/n7+6tnz56Kj49XcnKy3nzzTevx9evXS5ICAwO1c+dOnT17Vt26dZO/v7/at2+vvXv3SpImTpyo1q1bq23btpoxY4YkKTw8XOHh4ZKkunXrKiQkRH5+furcubNiY2MlST4+PgoLC1Pbtm3Vtm1bHTp0KMv1AAAAAAAA8HChCHcTX19frVmzRpK0b98+eXp6ytHRMcs5M2fOVGhoqCIiIlSvXj0dOnRIa9euVcmSJRUREaFx48Zpz549WeYsXbpUjRs3VkREhAYOHKiff/5Zf/31l7Zs2aIVK1Zo4cKF+v3335WWlvXF7vHx8apRo4ZWrlypV155RWPHjrWOFShQQN9//70GDhyoYcOG5dITAQAAAAAAQE6gCHcTHx8fbdmyRWazWatXr5avr+8t5zRt2lT9+/fXBx98oMqVK6tBgwaqUaOG1q1bp759+2r//v3q169fljl169bVV199pXfffVcJCQnq1q2bihcvLmdnZ3Xu3Fnz5s3TkCFD5OzsnGWes7Oz2rZtK0lq165dll1uHTt2tMYcFxen+Pj4HH4aAAAAAAAAyCkU4W5SsGBBVaxYUT///LN27NhhbUW9WY8ePTR//nyVKVNGkyZN0qxZs1SuXDmtXr1afn5+2rNnj9q3by+z2Wyd88ILLyg6OloNGjTQqlWr1KdPHzk4OGjJkiUaNGiQEhIS1LlzZ504cSLLtezs7GQymSRJZrPZ+q46SXJw+N/r/P45BgAAAAAAgIcLRbh/8PX11eTJk+Xl5ZWl0HVDhw4ddOXKFfXo0UM9evTQoUOH9M033yg8PFy+vr4aNWqU9T1xN4SFhWnFihVq166dQkJCdOjQIR06dEjdunVTrVq1NGzYMJUvX/6WIlxKSoo2bNggSYqIiFDDhg2tY9HR0ZKktWvXqnz58nriiSdy43EAAAAAAAAgB/B11H9o0qSJRowYoUGDBmU7/s477ygoKEgODg4qUKCAxo4dq6JFi+qdd96Rn5+f7O3tNXToUBUuXNg6JzAwUO+++64iIiJkb2+viRMnqnLlyqpevbpatWql/Pnzq2bNmmrYsKEOHjyY5Xo//PCDpk6dqmLFimnixInW47/88ouWLl2q/Pnz68MPP8ydhwEAAAAAAIAcYbJYLBZbB4HseXp66ujRo7cc9/Hx0bx581SqVKkHvobfxGk6k5D4wOsARrZnQojOn0+ydRh3xcOj0CMTK3Ie+Tcucm9c5N7YyL9xkXvjIve2Z2dnkru7S/ZjeRwLAAAAAAAAYDi0oz7EstsFJ8n6nricsHJY9m23AO5eSlq6rUMAAAAAADzkKMIZ3MWLyTKb6Ug2GrYoAwAAAACQt2hHBQAAAAAAAHIZO+EM7nYvC8Tjz8OjkK1DeCSlpKUr+XKarcMAAAAAADxiKMIZ3CuTP+brqMA9+GXMKCWLIhwAAAAA4N7QjgoAAAAAAADkMopw/3DlyhWNHj1a//d//6fWrVura9eu2r59uyQpMDBQO3fuzHL+zp07FRgYeMc1g4KCFBERkWsxAwAAAAAA4OFGO+pNLBaL+vTpo0qVKik6OlpOTk46dOiQ3nzzTU2ePNnW4QEAAAAAAOARRRHuJrt27dLff/+tefPmyWQySZIqV66st99+WzNnzrSed/HiRXXv3l2DBw9WoUKFssyfOnWqUlNTdfnyZQ0fPlzNmjWTJG3atEnffvutLl68qD59+qhTp05KSUlRcHCwjh49KpPJpF69eqlt27aKiIjQpk2blJCQoHPnzqlz587666+/tGPHDrm6uuqLL76Qs7Ozpk6dqu3btysxMVHFihXT1KlTVbRo0bx9aAAAAAAAAPhXtKPeZP/+/fLy8rIW4G6oVauW9u/fL0lKSkrSm2++qf79+1sLbDd88803Gjt2rJYvX66xY8dq2rRp1rH09HQtWbJEn332maZOnSpJCg8Pl5ubm6KiovT1118rPDxcR44cscYyc+ZMffnll5owYYIaNmyolStXSpK2bt2qU6dO6fjx41q0aJHWrFmjp556SitWrMi1ZwMAAAAAAID7x064m5hMJmVmZt5yPCMjw1qYGzVqlIoWLaqXX375lvMmTZqkjRs36ocfftB///tfXblyxTrWtGlTmUwmVahQQZcuXZIk7dixQ+PHj5ckFSlSRE2bNtWuXbvk4uKimjVrysXFRS4uLpKkunXrSpJKliypy5cvq2zZsho2bJiWLFmiEydOaO/evSpTpkzOPhAAAAAAAADkCHbC3aRatWo6cOCAMjIyshzfu3evvLy8JEm9e/dWkSJFtHDhwlvmd+3aVfv27ZOXl5f69OmTZcze3l6Ssuyys1gsWc6xWCzWIqCjo2OWMQeHrPXSAwcOqFevXjKbzWrevLmaNWt2y3oAAAAAAAB4OFCEu8mLL76oZ599VuPHj7cW4g4cOKBZs2apb9++kqRKlSpp1KhRmjFjhuLi4qxzExISdPLkSQ0aNEgNGzbU+vXrs91VdzNvb28tXbpUkhQfH6/169erdu3adxXr7t27Vbt2bXXp0kXlypXTpk2b/vV6AAAAAAAAsA2KcP8wY8YMOTk5qVWrVmrZsqXGjRunSZMmqU6dOtZzypUrp1dffVUffPCB9Zirq6vat2+vV155Rb6+vrpy5YpSU1N19erV216rX79+SkhIkJ+fn7p166Y+ffro+eefv6s4W7ZsqSNHjsjPz0+vvfaavLy8FBsbe/83DgAAAAAAgFxjstDDaGivTP5YZxISbR0G8Mj4ZcwonT+fZOsw7puHR6FHOn48GPJvXOTeuMi9sZF/4yL3xkXubc/OziR3d5fsx/I4FgAAAAAAAMBw+DqqwUW/O9jWIQCPlJS0dFuHAAAAAAB4BFGEM7iLF5NlNtORbDRsUQYAAAAAIG/RjgoAAAAAAADkMnbCGdztXhaIx5+HRyFbh/DISUlPV3Jimq3DAAAAAAA8gijCGVzLjz/W33wdFbgre0NHKVkU4QAAAAAA9452VAAAAAAAACCXGa4I17NnT61bt876e+LEiapRo4bS0//3xcMGDRooNjb2rtcMDAzUzp07bzk+bdo0rV+//r7inD59uvbs2XNfcwEAAAAAAPBwMVwRztvbWz///LP1908//aTq1atbj506dUoFChRQqVKlHvhagwYNUtOmTe9r7u7du5WZmfnAMQAAAAAAAMD2DPdOuLp162r8+PGSpLi4ODk5Oal58+batm2b6tatqz179qh+/foKDg7WsWPHdOHCBXl6emrKlCm6du2a3nnnHV24cEGS1K9fP2uRbenSpfrwww91+fJljRgxQj4+PgoKClLt2rVVu3Zt9e/fXxUqVNDhw4fl7u6uadOmydXVVatWrdL06dNVoEABVapUSZmZmfL29taBAwcUHBysGTNmyMnJSSEhIUpISFCBAgU0YsQIVa1aVUFBQXJxcdHBgwcVFxenfv36KSAgwGbPFgAAAAAAANkz3E64559/Xn/++afS0tK0bds21a9fX/Xr19e2bdskSXv27JG7u7scHR21ePFirV27VklJSdq8ebPWrl2rkiVLKiIiQuPGjcvSLlqoUCEtX75cwcHB+uSTT2657pEjR9SzZ09FRUWpcOHCWrlypeLj4zV+/Hh9/fXXWrp0qRITr38goW3btvLy8tLYsWPl6empoUOHKjAwUCtXrtTw4cM1aNAga/vs2bNn9e2332rWrFkKCwvLgycIAAAAAACAe2W4nXD29vaqVq2a9u/fr23btunVV19V6dKllZqaqsTERP36668aMWKEzpw5owULFuj48eM6efKkrl69qho1amjKlCmKi4tT48aN1a9fP+u6zZo1kyQ9++yzunTp0i3XdXd3V+XKlSVJFSpUUGJiovbs2aMaNWqoePHikq4X325+X50kXblyRX/++adefvllSVL16tX1xBNP6Pjx45Kk+vXry2Qy6bnnnlNCQkKOPy8AAAAAAAA8OMPthJOuvxful19+0b59+1S9enVJ19tU169fLzc3N+3cuVNDhgxRvnz55O/vr1q1aslisahcuXJavXq1/Pz8tGfPHrVv315ms1nS9eKeJJlMpmyv6ezsbP3bZDLJYrHIzs7OOv92LBZLtsduvC/uxrq3uy4AAAAAAABsz5BFuLp16yoyMlLPPfecHByubwasX7++5syZo/r162v79u3y9fVVQECAChcurJ07dyozM1PffPONwsPD5evrq1GjRik+Pl7Jycn3HUfNmjW1f/9+nTt3ThaLRatWrbIW0+zt7ZWZmSkXFxeVKlVKP/74oyRp7969unDhgipUqPDgDwIAAAAAAAB5wnDtqJKsrZtdu3a1HvP29tbgwYNVr149FSxYUEOGDFF0dLQcHR1Vs2ZNxcbGqnfv3nrnnXfk5+cne3t7DR06VIULF77vOIoUKaLg4GC9/vrrcnJyUqlSpazrvfTSSxo1apQmTpyoSZMmKTQ0VOHh4XJ0dFR4eLicnJwe+DkAAAAAAAAgb5gs2fU7Ik9cunRJ8+fPV//+/WVnZ6exY8eqbNmyCgwMzLMYWn78sf5OSMyz6wGPsr2ho3T+fJKtw3ggHh6FHvl7wP0j/8ZF7o2L3Bsb+Tcucm9c5N727OxMcnd3yX7sbhf54YcfNHXqVKWkpCgqKirHgjMyV1dXXb58Wa1atZKfn5+Sk5PVsWNHW4cFAAAAAACAHHZX7aizZ89WTEyMzp49qx49emjGjBk6depUlq+D4t6ZTCYFBwfbNIZVgwfb9PrAoyQlPd3WIQAAAAAAHlF3VYSLjo7WkiVL1LFjR7m5uem7775Tp06dKMI9Bi5eTJbZTEey0bBFGQAAAACAvHVX7agODg5ZPgRQuHBh61dFAQAAAAAAANzZXVXSnnrqKW3atEkmk0np6en68ssvVbJkydyODXngdi8LxOPPw6OQrUOwqZT0dCUnptk6DAAAAACAQdxVEW7kyJF67733dPToUVWvXl3VqlXT5MmTczs25IGW4R/r78QEW4cB5Lm9waFKFkU4AAAAAEDeuOue0q+//lopKSnKzMyUi4uLfv/999yMCwAAAAAAAHhs3PGdcAkJCUpISFDv3r2VmJiotLQ0ZWZm6sKFC+rfv/9t58XGxsrLy0tt2rRRmzZt1Lx5cw0fPlwXLlyQJO3fv18jRoy47fzTp0/r/fffz3Zs4cKFWrhw4W3n7tu3T5MmTbrTbd1i+PDhatq0qaKiorIcT09P19SpU+Xn56c2bdqoY8eO+umnn/51PU9Pz3u6fnZiY2Pl4+OT7Vjv3r0VFxf3wNcAAAAAAABA3rjjTrh3331XMTExkqQ6der8b5KDg5o3b37HhYsVK6bIyEhJksVi0ZQpUzRw4EB9++23qlKliqpUqXLbuX///bdOnz6d7ViXLl3ueN3ff/9dFy9evOM5/7R8+XLt27cvy8cnpOvFOScnJy1dulTOzs46evSoXn/9dX399dd69tln7+kaOenzzz+32bUBAAAAAABw7+5YhPvyyy8lXS9GTZgw4b4vYjKZNGDAANWvX19HjhxRYmKiZsyYofnz52vOnDlavny57OzsVLVqVX3wwQcaO3asYmNjNXr0aLVo0UKTJk2S2WxWhQoVVKpUKUnSgAEDtHLlSs2aNUsmk0lVqlTRe++9p+nTp+vq1auaNWuW3n77bWsMZrNZ48eP1/bt22UymdS6dWu9+eab6tOnjywWizp06KCvvvpK7u7ukqRTp07pxx9/1M6dO+Xs7Czp+g63KVOmKF++fJKkZcuWac6cOTKZTHr++ec1cuRIFSxY0HrN8PBwa6yS5OPjo3nz5mnXrl3atGmTEhISdO7cOXXu3Fl//fWXduzYIVdXV33xxReSpLS0NA0aNEgnTpxQmTJlNG7cOD3xxBPWdVxdXfX+++8rLi5O586dU926dTVu3DiZTKb7zhUAAAAAAABy3h3bUW+YMGGCEhISdObMGesutRs75O6Wk5OTypYtq+PHj1uPZWZm6rPPPtOyZcsUERGhjIwMxcXFKTg4WF5eXho1apQk6eTJk/r66681ceJE69y4uDhNmDBBX331laKjo5WZmalffvlFAwcOlI+PT5YCnHS9jfXMmTNasWKFlixZoh9//FGbNm3Sp59+KkmKjIy0FuAk6fDhwypXrpwKFCiQZZ06deqoVKlSOnr0qD799FPNnz9fK1euVP78+TVjxoy7fh779+/XzJkz9eWXX2rChAlq2LChVq5cKUnaunWrJOnixYsKDAzUihUrVLp0aX3yySdZ1ti0aZMqVaqkxYsXa82aNdq9e7cOHjx41zEAAAAAAAAgb9zVhxmmT5+uzz77TJJkb2+vjIwMPfvss9ai0d0ymUzWXWQ31qpRo4bat2+vpk2bqmfPnipevLhOnjyZZd7TTz+tQoUKZTn266+/qmbNmnryySclyfoeuIiIiGyvvXPnTrVr10729vbKnz+//Pz8tH37djVu3Djb8+3s7Kw74LKze/duNWnSRG5ubpKkTp06afjw4Xe8/5vVrFlTLi4ucnFxkSTVrVtXklSyZEldvnxZ0vX7fvHFFyVJbdq0UVBQUJY1WrVqpX379mnu3Lk6fvy4EhISdPXq1buOAQAAAAAAAHnjrnbCff/999q4caOaN2+uH3/8URMmTLjnd6Klp6frxIkTt8ybOXOmQkNDZbFY9MYbb2jXrl23zL25cHeDg4NDlrbL+Ph4xcfH3/b6ZrM5y2+LxaLMzMzbnu/l5aU//vhDqampWY7PnTtX0dHR2a537dq1LMdMJpMsFov1d0ZGhvVvR0fHW+7nn24+ZrFYbjln/vz5CgsLU5EiRdStWzeVL18+y/UAAAAAAADwcLirIlyRIkVUrFgxPfPMMzpy5Ijatm2r33777a4vYjabFR4ermrVqqlMmTLW4/Hx8WrZsqWee+45DRo0SPXr19fRo0dlb29/S0Hrn6pUqaK9e/fq/PnzkqTx48dr/fr1t53r7e2t77//XpmZmUpJSdHKlSuzfGzin0qUKKHGjRtrzJgxSktLkyQdOnRIX3zxhSpUqKDatWtrw4YNSkhIkCR99913t6zn5uam33//XdL1r7beiPVu/fHHHzp06JCk6++fq1evXpbxmJgYderUSa1bt1ZaWpqOHDlyS3EQAAAAAAAAtndX7agODg76888/9cwzz2jPnj1q0KCBtTB1O+fOnVObNm0kXS/CVapUSVOmTMlyTpEiRdSpUye1b99e+fPn19NPP62AgAClpaUpKSlJQ4cOVfv27bNdv3jx4hoxYoR69eols9ms6tWry9/fX3/++admzJihjz76SEOGDLGe36lTJ508eVJt2rRRRkaG/Pz89H//9393vIfx48fro48+Ups2beTk5KT8+fNr0qRJeu655yRJb731lgIDA5WRkaHnn39eo0ePzjK/ZcuWWrNmjVq2bKnnn39elStXvuP1/qlMmTL65JNP9Oeff+q5557Tf/7znyzj3bt3V2hoqGbPni0XFxfVqFFDsbGx93QNAAAAAAAA5D6T5S76Fzdu3Ki5c+dq1qxZateuna5cuaLGjRtr7NixeREjclHL8I/1d2KCrcMA8tze4FCdP59k6zDynIdHIUPeN64j/8ZF7o2L3Bsb+Tcucm9c5N727OxMcnd3yXbsrnbCVa5cWV9//bWk6++HO3XqlOzs7qqTFQAAAAAAADC8OxbhbrzvrHfv3po/f771pf9FixZVt27d9MMPP+R6gMhdqwYMtnUIgE2kpKfbOgQAAAAAgIHcsQj37rvvKiYmRpKsHx0wmUyyt7dX8+bNcz865LqLF5NlNvNFVaNhizIAAAAAAHnrjkW4L7/8UpI0fPhw9e3bV6VLl9bGjRt18OBBde/ePU8CBAAAAAAAAB51d/111M8///z/sXfn4TXda//HPzuTKcYIrVJtVUOpqSVBDAmthgwiaqpUHUO1FK0p1VAtiqgq0YFTj7aOHg4JiamhFDGrcpSiTo1piQghg0x7798f/XWfkwpFs7NT6/26rue67O9a3++617rVcz33873XUr9+/TRx4kT5+vpq/Pjxio6Otnd8sLObvSwQ9z5Pz/KODqFYXc/NVcbVW3/VGQAAAAAAe7mtItyRI0e0YsUKLViwQF27dtWoUaPUrVs3e8eGYhDwEV9HhTH8+41JyhBFOAAAAACAY9zWJ06tVqucnJy0Y8cO+fj4SJKys7PtGhgAAAAAAABwr7itItyDDz6oQYMGKSkpSS1atNCoUaNUr149e8dWomRkZOjtt99WYGCgQkJCFB4eriNHjtz0/KSkJPn7+9slFi8vL7usCwAAAAAAAPu4rXbUadOmaePGjXryySfl6uqqp556Sl27drVzaCWHxWLRoEGD5O3trVWrVsnFxUW7d+/WoEGDtHbtWlWuXNnRIQIAAAAAAKAEu60iXNmyZRUSEmL73bt3b7sFVBLt2bNH58+f1/Dhw+Xk9OvmQR8fH02bNk0Wi0WffPKJ4uPj5ezsrNatW2vMmDEF5l+6dElvvvmmfvnlF7m4uOi1115T27ZtFR0drYMHD+r8+fPq27evHn30Uc2ePVvZ2dm6du2a3njjDXXs2FFJSUkaM2aMsrKy1LhxY9u6169fV2RkpI4fPy6TyaQBAwYYqjgKAAAAAADwV3Fb7ahG98MPP6hevXq2Atxv2rVrp8OHD2vz5s2KiYnRypUrdebMGS1durTAeZMnT5aPj49Wr16tuXPnavz48bp06ZIkKTc3V+vWrVOfPn30j3/8Q1OmTNHKlSs1ZcoUzZkzxza/W7duiouLU7NmzWzrRkdHq3LlylqzZo0+//xzRUdH69ixY3Z+GgAAAAAAALhTFOFug5OTk0qVKlXosd27d6tLly4qU6aMXFxcFBYWpl27dt1wTvfu3SVJtWrVUuPGjfXvf/9bktSoUSPbeTNnztSJEyf04YcfatGiRcrMzJQk7d27VwEBAZKk4OBgubq63rBulSpV1KFDB+3du7cI7xwAAAAAAABFgSLcbWjYsKF++OEHWa3WAuPvv//+DQU3ScrPzy/w+/fzrFarzGazJKl06dK28T59+ujQoUNq2LChhgwZUugaJpPJtiPvVusCAAAAAACg5KAIdxueeuopeXh4aN68ebYiV2JiomJjY9WvXz+tXbtW2dnZys/PV0xMjHx8fArM9/Hx0YoVKyRJ586d03fffacmTZoUOCctLU2nT5/WiBEj1LZtW23atMl2rVatWik+Pl6StGHDBuXk5Nyw7uXLl7Vp0ya1aNHCbs8BAAAAAAAAd+e2PsxgdCaTSR999JGmTZumwMBAubi4qHLlylqwYIEef/xxnT9/XmFhYcrPz5evr6/69u2rCxcu2Oa/+eabmjhxomJjYyVJU6ZMUbVq1Qpco1KlSurevbu6dOkiFxcX+fj4KDs7W1lZWZo4caLGjBmjZcuWqWHDhipXrpwkaejQoZo0aZKCgoJkNps1ZMgQNWjQoPgeDAAAAAAAAG6Lyfr7nkYYSsBHH+iXq2mODgOwu3+/MUkpKemODsPhPD3L8xwMjPwbF7k3LnJvbOTfuMi9cZF7x3NyMsnDw73wY8UcCwAAAAAAAGA4tKMa3PpXRjo6BKBYXM/NdXQIAAAAAAADowhncKmpGbJY6Eg2GrYoAwAAAABQvGhHBQAAAAAAAOyMnXAGd7OXBeLe5+lZ3tEh2N313FxlXM1xdBgAAAAAAFCEM7qA+R/ol2tpjg4DsIt/j5mkDFGEAwAAAAA4Hu2oAAAAAAAAgJ0ZrgiXkZGht99+W4GBgQoJCVF4eLiOHDnisHjS09M1dOhQSVJycrIGDRp0V+u88cYb+vnnn4syNAAAAAAAABQRQxXhLBaLBg0apIoVK2rVqlWKi4vT0KFDNWjQIF25csUhMV29elVHjx6VJFWvXl1///vf72qdPXv2yGrlK6cAAAAAAAAlkaHeCbdnzx6dP39ew4cPl5PTr/VHHx8fTZs2TRaLRZ988oni4+Pl7Oys1q1ba8yYMTp//ryGDRumunXr6ujRo/Lw8NCcOXNUqVIl+fr6qlOnTtq/f7+cnZ31wQcfqFatWjp06JCmTZum7OxsVa5cWW+//bZq1aqlo0ePauLEicrOzlbFihX13nvvacqUKbp48aKGDh2qN954Qy+88II2b96sn3/+WW+88YYuX76s0qVLa8qUKXJ3d7cdl6To6GhJUqlSpXTx4kUNHjxYS5YsUeXKlR32jAEAAAAAAHAjQ+2E++GHH1SvXj1bAe437dq10+HDh7V582bFxMRo5cqVOnPmjJYuXSpJOnbsmPr37681a9aoQoUKWr16tSQpJSVFLVu21KpVq9S8eXMtWbJEubm5ioyM1KxZs7Ry5Ur1799fEyZMkCSNHj1ar7zyilavXq3OnTvr888/V2RkpKpVq6YPP/ywQExvv/22OnXqpDVr1ujVV1/Vxx9/fNP7Gjx4sKpVq6YFCxZQgAMAAAAAACiBDLUTzsnJSaVKlSr02O7du9WlSxeVKVNGkhQWFqZVq1apXbt28vDw0OOPPy5Jqlu3rq5evWqb16ZNG9v4t99+q9OnT+vcuXN6+eWXbedkZGTo8uXLSklJkZ+fnySpT58+kqSkpKRC49m3b5/ef/99Sb8WCdu1a3fTcwEAAAAAAFCyGaoI17BhQ3355ZeyWq0ymUy28ffff1+7du1SaGhogfPz8/MlqUDhzmQyFXj32m/Hfhu3WCyqWbOm4uLiJElms1mXLl2Sq6trgWvm5OTo4sWLBcb+l4vLf1NjtVr1008/qUyZMgWunZ+fX+A8AAAAAAAAlEyGakd96qmn5OHhoXnz5slsNkuSEhMTFRsbq379+mnt2rXKzs5Wfn6+YmJi5OPjc8fXeOSRR3T16lV9++23kqSYmBiNHj1a5cuXV/Xq1bV9+3ZJUlxcnObMmSMXFxdbse/3sa5du1aStHPnTk2YMEEVKlRQWlqaLl++rNzcXCUmJtrOd3Z2tt0TAAAAAAAAShZDbaMymUz66KOPNG3aNAUGBsrFxUWVK1fWggUL9Pjjj+v8+fMKCwtTfn6+fH191bdvX124cOGOruHm5qY5c+Zo6tSpysnJkbu7u2bMmCFJmjlzpiZNmqSZM2eqcuXKioqKUuXKlVWjRg2Fh4dr2rRptnUmTpyoyMhIffnllypTpoymTJmi8uXLa+DAgerevbvuu+8+PfHEE7bz27dvr8GDB+vTTz9VrVq1iuaBAQAAAAAAoEiYrP/b3wjDCZj/gX65luboMAC7+PeYSUpJSXd0GCWKp2d5nomBkX/jIvfGRe6NjfwbF7k3LnLveE5OJnl4uBd+rJhjAQAAAAAAAAzHUO2ouNH6l0Y6OgTAbq7n5jo6BAAAAAAAJFGEM7zU1AxZLHQkGw1blAEAAAAAKF60owIAAAAAAAB2xk44g7vZywJx7/P0LO/oEG7pem6uMq7mODoMAAAAAACKBEU4gwtYOJuvo6JE+vdrbytDFOEAAAAAAPcG2lEBAAAAAAAAO6MId5t+/PFHeXl5KSEhodDjSUlJ8vf3L+aoAAAAAAAA8FdAEe42xcTE6Nlnn9WyZcscHQoAAAAAAAD+Yngn3G3Iy8vT6tWrtWTJEvXq1Utnz57Vgw8+KH9/fzVq1EhHjx7VzJkzbecnJCToww8/1GeffaZLly5p8uTJysrK0uXLlzV48GD17t1b0dHRSk5O1pkzZ/Tzzz/rueee08svv6xjx45p4sSJys/PV6lSpTRt2jQ99NBD+sc//qG4uDhdv35drq6umjVrlh555BHNmDFDO3bskJOTkzp27Khhw4Y58EkBAAAAAACgMOyEuw1bt25VjRo19PDDD6tjx44FdsO1bdtWCQkJqlKliiRp+/bt+vDDD/V///d/qlKlipYvX65XXnlFMTEx+uKLLxQVFWWbe/z4cS1cuFDLly/XggULdO3aNX3++efq37+/YmNj1aNHDx08eFAZGRn6+uuvtXjxYq1Zs0bt27fXkiVL9PPPP2vbtm2Kj4/XP//5T/3nP/9RTg4vsgcAAAAAAChpKMLdhpiYGAUGBkqSOnfurNjYWOXm5kqSGjdubDvvypUrevXVV9W1a1dVrVpVkhQREaGcnBzNnz9fH3zwgbKysmzne3t7y83NTR4eHqpUqZLS09PVrl07TZ48WePHj1f58uUVFBQkd3d3zZo1S2vXrtWsWbP0zTffKCsrS9WrV1epUqXUq1cvffHFFxo9erRKlSpVjE8GAAAAAAAAt4Mi3B9ITU1VYmKi/u///k/+/v6KjIzUtWvXtHHjRkkqUPQymUz66KOPtHDhQiUnJ0uSRo4cqY0bN6pOnToaOXJkgbV/P9dqterZZ5/VypUr1ahRI3322Wd66623dP78efXs2VPp6elq27atQkNDZbVa5eLiouXLl2vEiBFKS0tTr169dOrUKfs/FAAAAAAAANwRinB/IC4uTj4+Ptq2bZs2b96sb775RkOGDNHSpUtvOLdSpUpq2bKlevfurSlTpkiSduzYoeHDh6tjx47atm2bJMlsNt/0eiNHjtT333+vXr16acSIEfrhhx/0/fffq3bt2nrxxRf1xBNP6Ouvv5bZbNYPP/ygvn37qnnz5ho3bpzq1KlDEQ4AAAAAAKAE4sMMf2DlypV67bXXCow9//zz+vTTT+Xu7l7onMGDBys4OFhff/21Xn31VfXp00elSpVSvXr19MADDygpKemm1xsyZIjefPNNffjhh3J1ddWkSZNUp04d/fOf/1Tnzp1ltVrVvHlznThxQo8//riaNGmiwMBAlSlTRs2aNVPbtm2L9P4BAAAAAADw55msVqvV0UHAcQIWztYv19IcHQZwg3+/9rZSUtIdHcY9x9OzPM/VwMi/cZF74yL3xkb+jYvcGxe5dzwnJ5M8PArftEU7KgAAAAAAAGBntKMa3PoBr/3xSYADXP//XyAGAAAAAOBeQBHO4FJTM2Sx0JFsNGxRBgAAAACgeNGOCgAAAAAAANgZO+EM7mYvC8S9z9OzvN2vcT03VxlXc+x+HQAAAAAASjqKcAbX+bP3dT49zdFh4B514NV3lCGKcAAAAAAA0I4KAAAAAAAA2BlFOAfy8vJydAgAAAAAAAAoBhThAAAAAAAAADujCFdCfPLJJ+rcubOCgoI0ffp0mc1mDRkyRFu3bpUkvf/++xo4cKAk6eLFiwoMDJQkzZ49Wz169FCnTp0UHh6uS5cuOeweAAAAAAAAUDiKcCXA1q1btXnzZsXExGjlypU6c+aMli5dqnbt2mn37t2SpG+//VYnT56U2WxWYmKi2rVrpzNnzujkyZNaunSpEhISdP/99ys+Pt7BdwMAAAAAAIDfowhXAuzevVtdunRRmTJl5OLiorCwMO3atUvt27fXrl27lJGRIenXd8gdOXJE27Ztk5+fn2rXrq1x48Zp+fLlmj59ug4ePKisrCwH3w0AAAAAAAB+jyJcCWCxWG4Yy8/P1/333y+LxaINGzaoWbNm8vb21u7du3XkyBE1bdpUhw8f1oABA2SxWNSpUyd17NhRVqvVAXcAAAAAAACAW6EIVwL4+Pho7dq1ys7OVn5+vmJiYuTj4yNJatu2rT7++GO1aNFCPj4+Wrx4sRo3bixnZ2ft27dPLVq0UO/evfXQQw9py5YtMpvNDr4bAAAAAAAA/J6LowOA5Ofnp6NHjyosLEz5+fny9fVV3759JUnt27fXokWL9OSTT6ps2bLKy8uTn5+fJKlz584aNmyYgoKCJEkNGzZUUlKSw+4DAAAAAAAAhTNZ6V80tM6fva/z6WmODgP3qAOvvqOUlHRHh4H/4elZnpwYGPk3LnJvXOTe2Mi/cZF74yL3jufkZJKHh3vhx4o5FgAAAAAAAMBwaEc1uHUvvu7oEHAPu56b6+gQAAAAAAAoESjCGVxqaoYsFjqSjYYtygAAAAAAFC/aUQEAAAAAAAA7Yyecwd3sZYG493l6lr+t867n5irjao6dowEAAAAA4N5GEc7gAv8xi6+j4pb2vzxZGaIIBwAAAADAn0E7KgAAAAAAAGBnFOGK0I8//igvLy8lJCQUejw5OVmDBg0q5qgAAAAAAADgaBThilBMTIyeffZZLVu2rNDj1atX19///vdijgoAAAAAAACOxjvhikheXp5Wr16tJUuWqFevXjp79qwefPBB+fv7q1GjRjp69KhmzpypkSNHavPmzXrxxRd15coVSb/ukGvcuLHmz5+vmJgYLVq0SCaTSQ0aNNCECRNUrlw5+fr6qlOnTtq/f7+cnZ31wQcfqFatWlq/fr0WLVqk7Oxs5ebm6t1331WzZs0c/DQAAAAAAADwv9gJV0S2bt2qGjVq6OGHH1bHjh0L7IZr27atEhISVKVKFdvYZ599pri4OEVHR8vd3V1vvPGGjh8/rk8++USLFy/W6tWrVaZMGc2bN0+SlJKSopYtW2rVqlVq3ry5lixZIovFoqVLl+qTTz5RfHy8Bg4cqAULFhT7vQMAAAAAAODWKMIVkZiYGAUGBkqSOnfurNjYWOXm5kqSGjduXOicjIwMDR06VBMmTNBDDz2kffv2yc/PT5UrV5Yk9ezZU7t377ad36ZNG0lS3bp1dfXqVTk5OenDDz/U9u3bNWfOHK1cuVKZmZn2vE0AAAAAAADcBdpRi0BqaqoSExN15MgRffHFF7Jarbp27Zo2btwoSSpVqtQNc6xWq0aPHq3OnTurXbt2kiSLxXLDOfn5+bbfv61jMplktVqVmZmp7t27Kzg4WM2bN5eXl5eWLFlir9sEAAAAAADAXWInXBGIi4uTj4+Ptm3bps2bN+ubb77RkCFDtHTp0pvOmT17ttzc3DRkyBDbWIsWLbR582alpaVJkv71r3/J29v7pmucPn1aJpNJQ4YMkbe3tzZu3Ciz2Vxk9wUAAAAAAICiwU64IrBy5Uq99tprBcaef/55ffrpp3J3d7/h/OTkZM2fP19eXl4KDQ2V1WpVhQoVtHjxYr300ksKDw9XXl6eGjRooLfffvum161Xr57q16+vgIAAmUwm+fr6av/+/UV+fwAAAAAAAPhzTFar1eroIOA4gf+YpfPpaY4OAyXY/pcnKyUl3dFhoIh4epYnnwZG/o2L3BsXuTc28m9c5N64yL3jOTmZ5OFx44YsiXZUAAAAAAAAwO5oRzW4NX1HOToElHDX//9XfgEAAAAAwN2jCGdwqakZsljoSDYatigDAAAAAFC8aEcFAAAAAAAA7IydcAZ3s5cF4t7n6Vn+lsev5+Yq42pOMUUDAAAAAMC9jSKcwXVd+p7OZ6Q5OgyUQHsGTlGGKMIBAAAAAFAUaEcFAAAAAAAA7IydcEUkMzNT7733nrZv364yZcrI3d1dr776qlq2bOno0AAAAAAAAOBgFOGKgNVq1ZAhQ1S/fn2tXbtWbm5u+uGHHzR48GDNmjVL3t7ejg4RAAAAAAAADkQRrgjs3btXv/zyi7744guZTCZJ0uOPP66XX35ZH330kebNm6eKFSvqxIkT+uCDD5SSkqK5c+cqPz9fNWvW1OTJk1W5cmXt2bNHU6ZMkbOzs5o0aaKffvpJixcv1qlTpzRx4kSlpaWpbNmyevPNN9WoUSNFRETI3d1dR44cUXJysoYOHaqwsDAHPw0AAAAAAAD8Hu+EKwLff/+9GjZsaCvA/aZ58+b6/vvvJUleXl5KSEhQ9erVNWvWLC1cuFCrVq2Sr6+v3nvvPeXl5Wns2LGaOXOmVq1aJReX/9ZHx4wZo/DwcK1evVpvvPGGRowYodzcXEnShQsX9OWXX+rjjz9WVFRU8d00AAAAAAAAbhs74YqAyWSS2Wy+YTwvL89WmGvUqJEk6d///rfOnz+vF154QZJksVhUsWJF/fjjj/Lw8FC9evUkSd27d9fUqVOVmZmps2fP6plnnpEkNWnSRBUrVtTJkyclSa1bt5bJZNJjjz2mtLQ0e98qAAAAAAAA7gJFuCLQuHFjLV68WHl5eXJ1dbWNHzx4UA0bNpTFYlHp0qUlSWazWc2aNdMnn3wiScrJyVFmZqYuXrwoi8Vyw9pWq7XQsd+KfqVKlZKkG3bhAQAAAAAAoOSgHbUIPPXUU3r00Uf17rvvKi8vT5J0+PBhffzxx3rllVcKnNu4cWMdPHhQp06dkiR99NFHioqK0iOPPKJr167p+PHjkqTVq1dLktzd3VWzZk1t2LBB0q+FvUuXLqlu3brFdXsAAAAAAAD4k9gJV0TmzZun2bNnKzAwUM7OzqpYsaJmzpwpb29vzZs3z3aep6en3n33XY0cOVIWi0XVq1fXzJkz5ebmpqioKI0bN05OTk56+OGHbbvnZs6cqUmTJik6Olqurq6Kjo6Wm5ubo24VAAAAAAAAd8hkLazfEcXOYrHovffe07Bhw1S2bFktWrRIycnJioiIsOt1uy59T+cz0ux6Dfw17Rk4RSkp6Y4OA0XM07M8eTUw8m9c5N64yL2xkX/jIvfGRe4dz8nJJA8P90KPsROuhHByclKlSpXUvXt3ubq66oEHHtDUqVMdHRYAAAAAAACKADvhABTqem6uMq7mODoMFDH+P2PGRv6Ni9wbF7k3NvJvXOTeuMi947ETDjeVmpohi4U6rNHwDzMAAAAAAMWLr6MCAAAAAAAAdsZOOIO72RZJ3Ps8PcvfMHY9L1cZabSgAgAAAABQ1CjCGVz3FTN1ga+j4v/b/uJUZYgiHAAAAAAARY12VAAAAAAAAMDOKML9j6SkJHl5eWnixIkFxo8ePSovLy/FxsYqJCTEQdH96ptvvtGiRYscGgMAAAAAAADuDO2ov1OpUiUlJibKbDbL2dlZkrRu3TpVqVJFkhQXF+fI8HT48GGHXh8AAAAAAAB3jiLc75QrV0716tXTvn375OPjI0nasWOHWrVqJUny8vLS8ePHFR0dreTkZJ05c0Y///yznnvuOb388suKjY1VYmKirl69qnPnzql169aaNGmSJGnBggVav369zGazfH19NWbMGGVmZur111/XpUuXJElDhw5Vhw4ddOrUKU2cOFFpaWkqW7as3nzzTZUtW1ZLly6VJNWoUUO+vr4aP3680tPTdfHiRYWGhmrEiBHF/9AAAAAAAABwSxThChEQEKCEhAT5+Pjo0KFD8vLyktVqveG848ePa8mSJUpPT1fHjh31/PPPS5IOHDigNWvWyNnZWc8++6x69+6t5ORkHT58WCtWrJDJZNKYMWMUHx8vi8WiBx54QAsWLNDRo0cVHx+vDh06aMyYMRo8eLCeeeYZHTx4UCNGjFBCQoJ69eolSQoLC9PChQsVGBio0NBQpaenq127dgoPD7ft2gMAAAAAAEDJQBGuEP7+/vrggw9ksVi0fv16BQQEaN26dTec5+3tLTc3N3l4eKhSpUpKT0+XJDVt2lTu7u6SpFq1aunq1avatWuXDh06pG7dukmSsrOzVaNGDYWFhen9999XcnKy2rdvr6FDhyozM1Nnz57VM888I0lq0qSJKlasqJMnTxa4/oABA7R7924tXLhQJ06cUF5enq5fv27PRwMAAAAAAIC7QBGuEL+1pO7fv1+7d+/WqFGjCi3ClSpVyvZnk8lk2y1X2LjZbFa/fv3Uv39/SdK1a9fk7OyscuXKaf369UpMTNQ333yj//u//9OKFStuuNZva/yv6dOn69y5cwoMDFTHjh21c+fOQnfsAQAAAAAAwLH4OupNBAQEaNasWWrYsKFcXP58rdLHx0dxcXHKzMxUfn6+hg4dqoSEBP3jH/9QdHS0AgIC9NZbb+ny5cuyWCyqWbOmNmzYIEk6ePCgLl26pLp168rZ2Vn5+fmSfn1X3YABAxQQEKBTp04pOTlZFovlT8cKAAAAAACAosVOuJvw8/PTm2++WWQfOvD399exY8fUo0cPmc1mtWnTRqGhobYPMwQFBcnZ2VljxoxRhQoVNHPmTE2aNEnR0dFydXVVdHS03Nzc1Lx5c40bN05Vq1bVSy+9pLFjx6p06dK677771LBhQyUlJenBBx8skpgBAAAAAABQNExW+hcNrfuKmbqQkeboMFBCbH9xqlJS0h0dBuzI07M8OTYw8m9c5N64yL2xkX/jIvfGRe4dz8nJJA8P98KPFXMsAAAAAAAAgOHQjmpwK7qPcXQIKEGu5+U6OgQAAAAAAO5JFOEMLjU1QxYLHclGwxZlAAAAAACKF+2oAAAAAAAAgJ2xE87gbvayQNzbcs15jg4BAAAAAABDoQhncL1XRSk5M83RYaCYbX7+XUnZjg4DAAAAAADDoB0VAAAAAAAAsDOKcEVkz549Cg8Pt/3OyMhQjx49NH36dAdGBQAAAAAAgJKAdlQ7yMzM1MCBA9WiRQuNHj3a0eEAAAAAAADAwSjCFbGsrCwNHjxYPj4+GjlypCTpH//4h+Li4nT9+nW5urpq1qxZeuSRR+Tv76/g4GBt375d169f14wZM9SwYUMtWrRIK1eulJOTkxo1aqR33nlHGRkZGj9+vJKTk3Xx4kW1bNlSU6dOVXJyskaPHq2srCw5OTkpMjJSTZo0cegzAAAAAAAAQEG0oxah69ev66WXXtKPP/6oF198UdKvbalff/21Fi9erDVr1qh9+/ZasmSJbU6lSpW0YsUK9erVS/Pnz5fZbNb8+fMVExOj2NhY5eXlKTk5WVu2bFH9+vW1bNkyJSQkaN++fTpy5IhWrFih9u3bKzY2VsOHD9f+/fsddPcAAAAAAAC4GXbCFaHvv/9eI0aM0COPPKLIyEjNmzdP7u7umjVrltauXavTp08rMTFR9evXt81p06aNJKlu3brasGGDnJ2d1bRpU3Xv3l0dOnRQ//79Vb16dQUGBurQoUP67LPPdPLkSaWlpSkrK0stW7bUq6++qqNHj6pdu3bq27evo24fAAAAAAAAN8FOuCLUtGlTvfLKK4qIiNCJEyf0z3/+U+fPn1fPnj2Vnp6utm3bKjQ0VFar1TanVKlSkiSTyWQb++ijjzRp0iRZrVYNHDhQe/fu1eLFixUVFaUqVaqob9++qlOnjqxWq5588kmtXbtWvr6+WrdunYYMGVLs9w0AAAAAAIBbYydcEXJ1dZUklSlTRlFRUerfv7+uXr2q2rVr68UXX1R2drbmzp2r++6776ZrXL58Wc8//7xWrFihpk2b6sKFCzp+/Lh27Nihnj17KigoSN9//72OHTsmi8WiqKgoVa9eXf369ZO3t7dCQ0OL63YBAAAAAABwmyjC2Unjxo314osvavny5XrwwQfVuXNnWa1WNW/eXCdOnLjpvCpVqqhnz57q3r27ypQpo4cfflhhYWF69NFHNWnSJC1YsEDu7u5q2rSpkpKSFB4erlGjRik2NlbOzs6aMWNGMd4lAAAAAAAAbofJ+r+9kTCc3quilJyZ5ugwUMw2P/+uUlLSHR0GHMDTszy5NzDyb1zk3rjIvbGRf+Mi98ZF7h3PyckkDw/3wo8VcywAAAAAAACA4dCOanD/7DrW0SHAAXLNeY4OAQAAAAAAQ6EIZ3CpqRmyWOhINhpPz/KSsh0dBgAAAAAAhkE7KgAAAAAAAGBn7IQzuJu9LBB/Tdl5uUpPy3F0GAAAAAAA4HcowhlcvzUzdDHriqPDQBFZ32O60kURDgAAAACAkoZ2VAAAAAAAAMDOKML9SUlJSfLy8tKOHTsKjPv7+yspKcku17Tn2gAAAAAAACh6FOGKgKurqyZMmKCMjAxHhwIAAAAAAIASiHfCFYFq1aqpVatWmjFjhiZPnlzg2IIFC7R+/XqZzWb5+vpqzJgxmj59uqpXr66//e1vkqRXX31VwcHBql27tiZPnqysrCxdvnxZgwcPVu/evZWWlqYxY8bowoULqlOnjnJyfn3nV0ZGhsaPH6/k5GRdvHhRLVu21NSpU2UymYr9GQAAAAAAAODm2AlXRCIiIrR9+/YCbamJiYk6fPiwVqxYoVWrVik5OVnx8fEKCQnRmjVrJP1aSDtw4IDatWun5cuX65VXXlFMTIy++OILRUVFSZLmzp2rxx9/XKtXr9bzzz+vS5cuSZK2bNmi+vXra9myZUpISNC+fft05MiR4r95AAAAAAAA3BI74YqIu7u7Jk+erAkTJig+Pl6StGvXLh06dEjdunWTJGVnZ6tGjRoKCQlRbm6uzpw5owMHDsjf319ubm6KiIhQYmKi5s+frx9//FFZWVmSpL1792rWrFmSpObNm6tWrVqSpMDAQB06dEifffaZTp48qbS0NNscAAAAAAAAlBwU4YqQr6+vrS1Vksxms/r166f+/ftLkq5duyZnZ2dJUnBwsNatW6cDBw5o8ODBkqSRI0eqQoUK8vPzU+fOnW275Uwmk6xWq+06v62xePFiJSQkqEePHmrVqpV+/PHHAucBAAAAAACgZKAdtYj91pZ68eJF+fj4KC4uTpmZmcrPz9fQoUOVkJAgSQoKCtK6det05swZPfnkk5KkHTt2aPjw4erYsaO2bdsm6ddCXsuWLRUXFydJOnTokM6ePWs7v2fPngoODlZOTo6OHTsmi8XigLsGAAAAAADArbATroj91pY6YMAA+fn5KT09XT169JDZbFabNm0UGhoqSbr//vtVuXJlNW3a1PYhhVdffVV9+vRRqVKlVK9ePT3wwANKSkrS8OHDFRERoS5duuiRRx6xtaP269dPkyZN0oIFC+Tu7q6mTZsqKSnJYfcOAAAAAACAwpms9C8aWr81M3Qx64qjw0ARWd9julJS0v/wPE/P8rd1Hu495N7YyL9xkXvjIvfGRv6Ni9wbF7l3PCcnkzw83As/VsyxAAAAAAAAAIZDO6rBfR44ztEhoAhl5+U6OgQAAAAAAFAIinAGl5qaIYuFjmQAAAAAAAB7oh0VAAAAAAAAsDN2whnczV4WiOKXnZer9LQcR4cBAAAAAADsgCKcwQ1OmKYUvo5aIqwMjVK6KMIBAAAAAHAvoh0VAAAAAAAAsDN2wt1CUlKSnn32WdWpU0eSlJ2drWbNmmnUqFGqWrXqTee88MIL2rx5c3GGCgAAAAAAgBKMnXB/oFq1aoqLi1NcXJy++uorVa1aVcOHD3d0WAAAAAAAAPgLoQh3B0wmk1599VWdOHFCx44d04IFCxQaGqrg4GBFRUXJarUWOP/HH39UeHi4wsLC5Ofnp3/+85+6fPmy2rRpYzunTZs2WrdunSRp/vz5+vTTT5WcnKwBAwaoR48eat++vebMmSNJio2NVXh4uIKCgvT+++/r0qVLeuWVV9StWzeFhYVp586dxfcwAAAAAAAAcNtoR71Dbm5uql27to4dO6bDhw9rxYoVMplMGjNmjOLj4/Xkk0/azl2+fLleeeUVtWzZUufOnVNwcLB69+6t+++/Xz/++KOcnZ1lNpu1d+9ede7cWYmJiXr77be1Zs0aBQYGKjQ0VOnp6WrXrp3Cw8MlScnJyVq3bp1cXFz02muvKSwsTB06dNDFixfVp08frVq1Su7ufPEUAAAAAACgJKEIdxdMJpO++OILXb58Wd26dZP06/viatSoUaAIFxERocTERM2fP18//vijsrKyJElt27bVrl275OLiohdeeEFr165Venq6Ll26pDp16qhOnTravXu3Fi5cqBMnTigvL0/Xr1+XJD3++ONycfk1bTt37tTJkyc1d+5cSVJ+fr7OnTun+vXrF+fjAAAAAAAAwB+gCHeHcnNzderUKXl7eysoKEj9+/eXJF27dk3Ozs66cuWK7dyRI0eqQoUK8vPzU+fOnbVmzRpJUvv27TVv3jy5ublpxIgRWr9+vVavXi1fX19J0vTp03Xu3DkFBgaqY8eO2rlzp63VtXTp0rb1LRaLPv/8c1WqVEmSdPHiRXl4eBTHYwAAAAAAAMAd4J1wd8BisSg6OlqNGzdWWFiY4uLilJmZqfz8fA0dOlQJCQkFzt+xY4eGDx+ujh07atu2bZIks9msBg0a6NSpUzp9+rTq1Kkjb29vffzxx/Lz87PNGzBggAICAnTq1CklJyfLYrHcEI+Pj4++/PJLSdJ//vMfBQUF2XbMAQAAAAAAoORgJ9wfuHjxokJCQiT9WoSrX7++3n//fVWsWFHHjh1Tjx49ZDab1aZNG4WGhurnn3+2zX311VfVp08flSpVSvXq1dMDDzygpKQk1a5dW08++aStYObj46Ply5erefPmkqSXXnpJY8eOVenSpXXfffepYcOGSkpKuiG2yMhITZw4UUFBQZKkqKgo3gcHAAAAAABQApmsv/+kJwxlcMI0pWRd+eMTYXcrQ6OUkpJeLNfy9CxfbNdCyULujY38Gxe5Ny5yb2zk37jIvXGRe8dzcjLJw6PwDVK0owIAAAAAAAB2RjuqwS3o9IajQ8D/l52X6+gQAAAAAACAnVCEM7jU1AxZLHQkAwAAAAAA2BPtqAAAAAAAAICdsRPO4G72skAUr+y8XKWn5Tg6DAAAAAAAYCcU4Qxu+NdTdek6X0d1tC+D3lO6KMIBAAAAAHCvoh0VAAAAAAAAsDNDFOGSkpLk5eWlHTt2FBj39/dXUlJSkV3Hy8tLAwYMKDB2+fJlNWjQQNHR0Xe83vfff68333yzqMIDAAAAAACAgxiiCCdJrq6umjBhgjIyMux6nVOnTiktLc32e8OGDapQocJdrfXEE09o6tSpRRQZAAAAAAAAHMUwRbhq1aqpVatWmjFjRqHHFyxYoNDQUAUHBysqKkpWq1VDhgzR1q1bJUnvv/++Bg4cKEm6ePGiAgMDC12nQ4cO2rRpk+33V199paefftr2+9ChQ+rdu7dCQ0P1t7/9TefOnVNGRob8/f21a9cuSdKAAQO0ZMkS7dmzR+Hh4ZKko0eP6rnnnlNQUJD69u2rCxcuSJI++eQTde7cWUFBQZo+fbrMZvOffFIAAAAAAAAoaoYpwklSRESEtm/ffkNb6rZt23T48GGtWLFCq1atUnJysuLj49WuXTvt3r1bkvTtt9/q5MmTMpvNSkxMVLt27Qq9RkBAgBISEiRJly5dkiR5enpKknJzcxUZGalZs2Zp5cqV6t+/vyZMmCB3d3dNnTpVkyZN0pIlS2QymfT8888XWHf06NF65ZVXtHr1anXu3Fmff/65tm7dqs2bNysmJkYrV67UmTNntHTp0iJ9ZgAAAAAAAPjzDPV1VHd3d02ePFkTJkxQfHy8bXzXrl06dOiQunXrJknKzs5WjRo11KdPH7388su2FlYvLy8dOXJE27Zts+1Q+72mTZvq1KlTSk9P11dffaVOnTrZinGnT5/WuXPn9PLLL9vO/23tli1bysfHR++//77Wr19fYM3Lly8rJSVFfn5+kqQ+ffpIkmbMmKEuXbqoTJkykqSwsDCtWrXqhgIeAAAAAAAAHMtQRThJ8vX1vaEt1Ww2q1+/furfv78k6dq1a3J2dla5cuVksVi0YcMGNWvWTFWrVtXu3bt15MgRNW3atND1TSaT/Pz8tGnTJiUkJGjOnDlasmSJJMlisahmzZqKi4uzXfe3Ap3VatWpU6dUpkwZnTp1StWqVbOt6erqKpPJZPudk5OjixcvymKx3HD9/Pz8P/mEAAAAAAAAUNQM1Y76m9/aUi9evChJ8vHxUVxcnDIzM5Wfn6+hQ4faWkrbtm2rjz/+WC1atJCPj48WL16sxo0by9nZ+abrBwQE6Msvv5Sbm5uqVKliG3/kkUd09epVffvtt5KkmJgYjR49WpL05ZdfqmzZsvroo480YcIEZWZm2uaVL19e1atX1/bt2yVJcXFxmjNnjnx8fLR27VplZ2crPz9fMTEx8vHxKdqHBQAAAAAAgD/NcDvhpP+2pQ4YMECS5O/vr2PHjqlHjx4ym81q06aNQkNDJUnt27fXokWL9OSTT6ps2bLKy8uztYXeTJMmTZSSkqLnnnuuwLibm5vmzJmjqVOnKicnR+7u7poxY4bOnTunjz/+WMuXL9f9998vX19fzZw5UwEBAba5M2fO1KRJkzRz5kxVrlxZUVFRqlatmo4ePaqwsDDl5+fL19dXffv2LeKnBQAAAAAAgD/LZLVarY4OAo4z/OupunT9iqPDMLwvg95TSkp6sV3P07N8sV4PJQe5Nzbyb1zk3rjIvbGRf+Mi98ZF7h3PyckkDw/3wo8VcywAAAAAAACA4RiyHRX/Nbfjm44OAZKy83IdHQIAAAAAALAjinAGl5qaIYuFjmQAAAAAAAB7oh0VAAAAAAAAsDN2whnczV4WiOKTk5era2k5jg4DAAAAAADYEUU4gxu7dbJS+TqqQy189n1JFOEAAAAAALiX0Y4KAAAAAAAA2BlFuFtISkqSl5eXduzYUWDc399fSUlJN53j7+9f5LFEREQoNja2yNcFAAAAAACA/VGE+wOurq6aMGGCMjIyHB0KAAAAAAAA/qIowv2BatWqqVWrVpoxY8YNxxYsWKDQ0FAFBwcrKipKVqtVkpSTk6MRI0YoODhYw4YN09WrVyX9uoNu5MiR6tSpk1JTUzV79mz16NFDnTp1Unh4uC5duqS8vDyNGTNGXbt2VdeuXfWvf/2rwDWvX7+u3r17a8mSJZJU6BoAAAAAAAAoWSjC3YaIiAht3769QFtqYmKiDh8+rBUrVmjVqlVKTk5WfHy8JCk1NVXh4eGKj49XrVq19OGHH9rmtW3bVgkJCcrIyNDJkye1dOlSJSQk6P7771d8fLwOHDigq1evatWqVZo/f76+/fZb29y8vDwNGzZMnTp10vPPP68zZ84UugYAAAAAAABKFr6Oehvc3d01efJkTZgwwVbk2rVrlw4dOqRu3bpJkrKzs1WjRg09+eSTevjhh/XUU09JkkJCQhQREWFbq3HjxpKk2rVra9y4cVq+fLlOnTqlgwcP6sEHH1TdunV16tQpDRgwQG3bttXYsWNtc+fMmSMnJyfNmzfvlmsAAAAAAACgZKEId5t8fX0LtKWazWb169dP/fv3lyRdu3ZNzs7OunLlilxc/vtYrVZrgd+lSpWSJB0+fFijRo3Siy++qE6dOsnJyUlWq1WVK1fW2rVrtWPHDm3dulWhoaFau3atJKlLly7KysrS3LlzNW7cuJuuAQAAAAAAgJKFdtQ78Ftb6sWLF+Xj46O4uDhlZmYqPz9fQ4cOVUJCgiTpp59+0g8//CBJiomJUatWrW5Ya9++fWrRooV69+6thx56SFu2bJHZbNamTZs0ZswYtW/fXpGRkSpbtqzOnz8vSapfv77GjBmj1atX6+jRozddAwAAAAAAACULRbg78Ftbal5envz8/PTMM8+oR48eCgwMVL169RQaGipJevDBB/Xhhx8qKChIV65c0UsvvXTDWp07d9axY8cUFBSkF154QQ0bNlRSUpLatm2r0qVLq0uXLnruuecUHBwsLy8v27xKlSpp1KhRioyMvOkaAAAAAAAAKFlMVvoXDW3s1slKvX7F0WEY2sJn31dKSnqxXtPTs3yxXxMlA7k3NvJvXOTeuMi9sZF/4yL3xkXuHc/JySQPD/fCjxVzLAAAAAAAAIDh8GEGg4tqN8HRIRheTl6uo0MAAAAAAAB2RhHO4FJTM2Sx0JEMAAAAAABgT7SjAgAAAAAAAHbGTjiDu9nLAmFfOXm5upaW4+gwAAAAAABAMaEIZ3Bv7Xhbl7MvOzoMw4nuMEcSRTgAAAAAAIyCdlQAAAAAAADAzu7JIlz//v319ddf237PmDFDTZs2VW7uf79C6evrq6SkpDta95tvvtGiRYsKjGVkZKhp06ZKTk4uML53716FhoZq06ZNmjNnzh1dJyQk5JbH72ZNAAAAAAAAOM49WYTz8fHR/v37bb937typJk2a2MbOnDmjsmXLqmbNmne07uHDh5WRkVFgzN3dXU8//bTWrl1bYHzVqlXq3r27OnTooBEjRtzRdeLi4m55/G7WBAAAAAAAgOPck0W4li1b6sCBA5Kk5ORkubm5qVOnTtq+fbsk6dtvv1Xr1q0l/VosCw0NVUhIiMaPH6+cnBzl5eVpzJgx6tq1q7p27ap//etf+s9//qOlS5dq6dKliomJKXC9bt26ac2aNbbfOTk52rJliwIDAxUbG6uIiAhJkr+/v0aOHKlOnTopNTVVX3zxhZ555hmFhYVpzJgxio6OliR5eXlJkqKjoxUZGanw8HD5+/vr448/lqQCa65fv149evRQcHCwnn32WX333Xf2eqwAAAAAAAC4S/dkEa5BgwY6e/ascnJytH37drVu3VqtW7e+oQh34sQJ/etf/9LSpUsVFxcnDw8PLVy4UAcOHNDVq1e1atUqzZ8/X99++60effRR9erVS7169VJYWFiB63l7e+vatWs6efKkJOnrr79Wy5YtVbFixRtia9u2rRISEpSSkqIlS5YoNjZWX375pc6cOVPovRw/flwLFy7U8uXLtWDBAl27ds12zGKxaOnSpfrkk08UHx+vgQMHasGCBUX1GAEAAAAAAFBE7skinLOzsxo3bqzvv/9e27dvl6+vr2rVqqXs7GxdvXpVBw4ckI+Pj/bs2aMzZ86oR48eCgkJ0aZNm3Ty5EnVrVtXp06d0oABA/TVV19p7Nixt7yeyWRS165dbbvh4uLibijU/aZx48aSpF27dsnPz0/u7u4qVaqUunTpUuj53t7ecnNzk4eHhypVqqT09HTbMScnJ3344Yfavn275syZo5UrVyozM/NuHhkAAAAAAADs6J4swkm/vhfuu+++06FDh9SkSRNJv7apbtq0SZUrV5a7u7vMZrMCAgIUFxenuLg4LV++XBMnTlTlypW1du1a9e3bV6dOnVJoaGiBHWiF6datm9atW6dLly7p9OnTatmyZaHnlSpVStKvBTSLxfKH9/Hb+dKvxT6r1Wr7nZmZqe7duyspKUnNmzdXeHj4H64HAAAAAACA4nfPFuFatmypuLg4PfbYY3JxcZEktW7dWosWLbK9D87b21sbN25UamqqrFarJk2apM8//1ybNm3SmDFj1L59e0VGRqps2bI6f/68nJ2dlZ+fX+j1atSoofvvv19z585VcHCwTCbTH8a3detWZWRkKDc3Vxs2bPjDOb93+vRpmUwmDRkyxHYvZrP5jtYAAAAAAACA/bk4OgB7eeyxx5SWlqY+ffrYxnx8fDRy5Ei1atVKklSvXj0NGzZM/fr1k8ViUf369TV48GA5OTlpw4YN6tKli0qVKqXg4GB5eXnp2rVrGjdunKpWrVrorrOwsDCNHTtWGzduvK34XnjhBfXs2VNly5ZV5cqVC+x6ux316tVT/fr1FRAQIJPJJF9f3wJfhQUAAAAAAEDJYLL+b38jis2pU6e0detWvfjii5Kkl19+Wc8995z8/f2LNY63dryty9mXi/WakKI7zFFKSvofn2gnnp7lHXp9OA65Nzbyb1zk3rjIvbGRf+Mi98ZF7h3PyckkDw/3Qo/dszvhSroHHnhA33//vQIDA2272Pz8/BwdFgAAAAAAAOyAIpyDuLm5adasWY4OQ2+3fsvRIRhSTl6uo0MAAAAAAADFiCKcwaWmZshioSMZAAAAAADAnu7Zr6MCAAAAAAAAJQU74QzuZi8LxO3LycvVtbQcR4cBAAAAAABKMIpwBjdl1wRd4euof8osvw8lUYQDAAAAAAA3RzsqAAAAAAAAYGcU4ezoxx9/lJeXlxISEmxj/v7+SkpKuuO17nYeAAAAAAAAHI8inB3FxMTo2Wef1bJlyxwdCgAAAAAAAByIIpyd5OXlafXq1Ro5cqSOHDmis2fPFjiekZGh4cOHq2fPnvLz89P48eNltVp14cIF9e3bV926dVP37t118ODBAvNOnTqlZ555RgcPHrzpGgAAAAAAAChZKMLZydatW1WjRg09/PDD6tix4w274bZs2aL69etr2bJlSkhI0L59+3TkyBGtWLFC7du3V2xsrIYPH679+/fb5ly4cEHDhg3Tu+++qyZNmtx0DQAAAAAAAJQsfB3VTmJiYhQYGChJ6ty5s0aPHq0RI0bYjgcGBurQoUP67LPPdPLkSaWlpSkrK0stW7bUq6++qqNHj6pdu3bq27evbc6IESP0xBNP6KmnnrrlGgAAAAAAAChZ2AlnB6mpqUpMTNT//d//yd/fX5GRkbp27Zo2btxoO2fx4sWKiopSlSpV1LdvX9WpU0dWq1VPPvmk1q5dK19fX61bt05DhgyxzXnzzTd17tw5bdmy5ZZrAAAAAAAAoGRhJ5wdxMXFycfHR59++qltLDo6WkuXLrX93rFjh3r27KmgoCB9//33OnbsmCwWi6KiolS9enX169dP3t7eCg0Ntc1p1KiRJk2apHHjxqlFixY3XQMAAAAAAAAlC0U4O1i5cqVee+21AmPPP/+8Pv30U7m7u0uS+vXrp0mTJmnBggVyd3dX06ZNlZSUpPDwcI0aNUqxsbFydnbWjBkzCqzTvHlzeXt764MPPrjpGgAAAAAAAChZTFb6Fw1tyq4JupJ92dFh/KXN8vtQKSnpjg7jjnh6lv/LxYyiQe6NjfwbF7k3LnJvbOTfuMi9cZF7x3NyMsnDw73wY8UcCwAAAAAAAGA4tKMaXGTLyY4O4S8vJy/X0SEAAAAAAIASjiKcwaWmZshioSMZAAAAAADAnmhHBQAAAAAAAOyMnXAGd7OXBRpBTn6Orl2hlRQAAAAAANgfRTiDe2/3G0rLSXV0GA4xpd0CSRThAAAAAACA/dGOCgAAAAAAANgZRTgHSkpKkr+//w3jXl5eOnfunMaPH39X8wEAAAAAAFCyUIQroX755RedO3fO0WEAAAAAAACgCFCEK6GmTJmiw4cP6+2331Z+fr4iIyPVs2dPdejQQa+88oqys7MlSdnZ2XrttdcUGBioPn366MqVKw6OHAAAAAAAAL9HEa6EioyMVMOGDfXWW2/pwIEDcnV11bJly7Rx40alp6dr69atkqTLly+rf//+WrNmjapWrap169Y5OHIAAAAAAAD8Hl9HdSAnpxtroFarVSaTqcBY8+bNValSJS1ZskQnT57U6dOnlZWVJUmqVq2aGjVqJEl69NFH2QkHAAAAAABQArETzoEqVKig9PT0AmOpqamqWLFigbFNmzZp9OjRKl26tLp166bmzZvLarVKklxc/ltHNZlMtnEAAAAAAACUHBThHMjd3V21a9dWQkKCbWzZsmVq2bKlnJ2dlZ+fL0natWuXAgICFBYWpgoVKmjPnj0ym82OChsAAAAAAAB3iHZUB5s5c6YmTZqkDz/8UHl5efLy8tLEiRNlMpmUnp6uMWPGaODAgRo9erTWrl0rV1dXNWvWTElJSY4OHQAAAAAAALeJIpyDPfzww/r8888LPbZmzRrbn1evXl3oOZs3b7b9+dVXXy3a4AAAAAAAAFAkaEcFAAAAAAAA7IydcAY32meao0NwmJz8HEeHAAAAAAAADIIinMGlpmbIYuGLqgAAAAAAAPZEOyoAAAAAAABgZ+yEMzgPD3dHh2B3ufk5unol19FhAAAAAAAAA6MIZ3DRe0fras4lR4dhV5FtPpNEEQ4AAAAAADgO7agAAAAAAACAnZXoIlxSUpK8vLy0Y8eOAuP+/v5KSkoqsut4eXndMFbU17gdsbGxioiIuGH8+++/15tvvlmssQAAAAAAAKDolOginCS5urpqwoQJysjIcHQoDvPEE09o6tSpjg4DAAAAAAAAd6nEF+GqVaumVq1aacaMGYUeX7BggUJDQxUcHKyoqChZrVYNGTJEW7dulSS9//77GjhwoCTp4sWLCgwMvKPr5+fnKzIyUj179lSHDh30yiuvKDs7W0lJSQoJCdFrr72moKAgjRs3TkuXLlXPnj317LPP6qeffpL06466qKgode3aVV27dtUPP/wgSVq0aJGCg4PVtWtXTZw40Xa9M2fOKDw8XB06dFBkZKQkac+ePQoPD5ckhYeHa9iwYerUqZOOHj2qbdu2qXv37uratauGDRumK1eu3NH9AQAAAAAAwP5KfBFOkiIiIrR9+/Yb2lK3bdumw4cPa8WKFVq1apWSk5MVHx+vdu3aaffu3ZKkb7/9VidPnpTZbFZiYqLatWtX6DVCQkIK/M/FixclSQcOHJCrq6uWLVumjRs3Kj093VbgO378uAYNGqS4uDh99913+vnnn7Vs2TIFBgZq2bJltrXLli2rVatWafjw4Ro3bpzMZrPmz5+vmJgYxcbGKi8vT8nJyZKk8+fPKzo6WuvXr9e2bdt04sSJG2L18vJSQkKCqlevrlmzZmnhwoVatWqVfH199d577/35Bw4AAAAAAIAi9Zf4Oqq7u7smT56sCRMmKD4+3ja+a9cuHTp0SN26dZMkZWdnq0aNGurTp49efvllWwurl5eXjhw5om3bttl2lP1eXFxcgd/+/v6SpObNm6tSpUpasmSJTp48qdOnTysrK0uSVLVqVT3++OOSpPvuu08tW7aUJNWoUaPA++R69OhhWzMiIkJXr15V06ZN1b17d3Xo0EH9+/dX9erVJUlPPfWUKlWqJEl68MEHC93Z1qhRI0nSv//9b50/f14vvPCCJMlisahixYq39UwBAAAAAABQfP4SRThJ8vX1vaEt1Ww2q1+/furfv78k6dq1a3J2dla5cuVksVi0YcMGNWvWTFWrVtXu3bt15MgRNW3a9I6uu2nTJs2dO1cvvPCCunXrpitXrshqtUqS3NzcCpzr7Oxc6BouLv99zBaLRc7Ozvroo4908OBBbdu2TQMHDrTtYPvfc00mk+1a/6t06dK2+2/WrJk++eQTSVJOTo4yMzPv6P4AAAAAAABgf3+JdtTf/NaW+lurqI+Pj+Li4pSZman8/HwNHTpUCQkJkqS2bdvq448/VosWLeTj46PFixercePGNy2U3cyuXbsUEBCgsLAwVahQQXv27JHZbL6jNdauXStJ2rhxo+rUqSOz2azOnTvrscce04gRI9S6dWsdP378jtaUpMaNG+vgwYM6deqUJOmjjz5SVFTUHa8DAAAAAAAA+/rL7IST/tuWOmDAAEm/tnceO3ZMPXr0kNlsVps2bRQaGipJat++vRYtWqQnn3xSZcuWVV5envz8/O74ms8995xGjx6ttWvXytXVVc2aNSvQano7vvvuO61YsUJlypTR9OnTVaVKFfXs2VPdu3dXmTJl9PDDDyssLExfffXVHa3r6empd999VyNHjpTFYlH16tU1c+bMO1oDAAAAAAAA9meyFtbviCLj7++vL774QjVr1nR0KIWK3jtaV3MuOToMu4ps85lSUtIdHUaJ4ulZnmdiUOTe2Mi/cZF74yL3xkb+jYvcGxe5dzwnJ5M8PNwLP1bMsQAAAAAAAACG85dqR/0r2rx5s6NDuKVXW7zn6BDsLjc/x9EhAAAAAAAAg6MIZ3CpqRmyWOhIBgAAAAAAsCfaUQEAAAAAAAA7Yyecwd3sZYF/Zbn5Obp6JdfRYQAAAAAAANhQhDO4v3/7qq7dY19HHdX6n5IowgEAAAAAgJKDdlQAAAAAAADAzijC2VlSUpK8vLw0ceLEAuNHjx6Vl5eXYmNjbzp30KBBSk5OtneIAAAAAAAAsDPaUYtBpUqVlJiYKLPZLGdnZ0nSunXrVKVKlVvO+/vf/14c4QEAAAAAAMDOKMIVg3LlyqlevXrat2+ffHx8JEk7duxQq1atJEn/+Mc/FBcXp+vXr8vV1VWzZs3SI488In9/f33xxRfau3evEhMTdfXqVZ07d06tW7fWpEmTJEkLFizQ+vXrZTab5evrqzFjxshkMjnqVgEAAAAAAFAI2lGLSUBAgBISEiRJhw4dkpeXl1xdXZWRkaGvv/5aixcv1po1a9S+fXstWbLkhvkHDhzQ3LlzFR8fr2+++UbHjx/Xtm3bdPjwYa1YsUKrVq1ScnKy4uPji/vWAAAAAAAA8AfYCVdM/P399cEHH8hisWj9+vUKCAjQunXr5O7urlmzZmnt2rU6ffq0EhMTVb9+/RvmN23aVO7u7pKkWrVq6erVq9q1a5cOHTqkbt26SZKys7NVo0aNYr0vAAAAAAAA/DGKcMXkt5bU/fv3a/fu3Ro1apTWrVun8+fPq2fPnurbt6/atm2rqlWr6ujRozfML1WqlO3PJpNJVqtVZrNZ/fr1U//+/SVJ165ds71zDgAAAAAAACUH7ajFKCAgQLNmzVLDhg3l4vJr/bNs2bKqXbu2XnzxRT3xxBP6+uuvZTabb2s9Hx8fxcXFKTMzU/n5+Ro6dKit5RUAAAAAAAAlBzvhipGfn5/efPNNjRgxwjbm6uoqi8Wizp07y2q1qnnz5jpx4sRtrefv769jx46pR48eMpvNatOmjUJDQ+0VPgAAAAAAAO6SyWq1Wh0dBBzn79++qms5lxwdRpEa1fqfSklJd3QYJZqnZ3mekUGRe2Mj/8ZF7o2L3Bsb+Tcucm9c5N7xnJxM8vBwL/xYMccCAAAAAAAAGA7tqAY36KloR4dQ5HLzcxwdAgAAAAAAQAEU4QwuNTVDFgsdyQAAAAAAAPZEOyoAAAAAAABgZ+yEM7ibvSzwryo3P0dXr+Q6OgwAAAAAAIACKMIZ3OL9Lyk9J8XRYRSZV1rFSqIIBwAAAAAAShbaUQEAAAAAAAA7u+eKcElJSWrYsKFCQkIUEhKioKAg+fv7a+7cuZKkPXv2KDw8/K7Xj42NVURExG2fHx0drejom3+B9E7XuxUvL68iWQcAAAAAAABF655sR61WrZri4uJsv5OTk9WpUyd16dLFgVEBAAAAAADAqO7JItzvpaSkyGq1qly5crp06ZIuX76sQYMG6ezZs3r44Yc1d+5cubm5KSYmRosWLZLJZFKDBg00YcIElStXTqtWrdLHH38sd3d3PfDAAypbtqwk6dChQ5o2bZqys7NVuXJlvf3226pVq9ZN41i0aJFWrlwpJycnNWrUSO+8806B4+vXr9eiRYuUnZ2t3Nxcvfvuu2rWrJnCw8P1xBNPaP/+/bp8+bIiIyPVrl07JSUlacyYMcrKylLjxo3t+gwBAAAAAABw9+65dlRJunjxokJCQvTss8/K29tbH3zwgebNm6f77rtPkvTLL79o4sSJWr9+vS5duqSdO3fq+PHj+uSTT7R48WKtXr1aZcqU0bx585ScnKz33ntPS5Ys0bJly5SZmSlJys3NVWRkpGbNmqWVK1eqf//+mjBhwk1jMpvNmj9/vmJiYhQbG6u8vDwlJyfbjlssFi1dulSffPKJ4uPjNXDgQC1YsMB2PC8vT8uWLdMbb7yhOXPmSJImT56sbt26KS4uTs2aNbPHowQAAAAAAEARuCd3wv3WjmqxWDR9+nT99NNPat26te14vXr1bDvW6tSpoytXrigpKUl+fn6qXLmyJKlnz55644031LhxYzVt2lRVq1aVJAUFBWn37t06ffq0zp07p5dfftm2bkZGxk1jcnZ2VtOmTdW9e3d16NBB/fv3V/Xq1W3HnZyc9OGHH2rz5s06deqU9u7dKyen/9ZI27RpI0mqW7eu0tLSJEl79+7VrFmzJEnBwcGKjIz8M48NAAAAAAAAdnJP7oT7jZOTk8aOHavk5GQtXLjQNu7i8t/ao8lkktVqlcViKTDXarUqPz/fdvz3cy0Wi2rWrKm4uDjFxcUpNjZWX3755S3j+eijjzRp0iRZrVYNHDhQe/futR3LzMxU9+7dlZSUpObNm9/w8YhSpUrZ4v19nL+N/2/RDgAAAAAAACXHPV+1cXFx0dixY/XRRx8pJSXlpue1aNFCmzdvtu0y+9e//iVvb289+eSTOnjwoJKTk2WxWLRu3TpJ0iOPPKKrV6/q22+/lSTFxMRo9OjRN13/8uXL6ty5sx577DGNGDFCrVu31vHjx23HT58+LZPJpCFDhsjb21sbN26U2Wy+5b21atVK8fHxkqQNGzYoJyfntp4JAAAAAAAAitc92Y76e23btlXTpk01Z84cBQUFFXpOvXr19NJLLyk8PFx5eXlq0KCB3n77bbm7uysyMlIvvviiypQpo0cffVSS5Obmpjlz5mjq1KnKycmRu7u7ZsyYcdMYqlSpop49e6p79+4qU6aMHn74YYWFhemrr76yXb9+/foKCAiQyWSSr6+v9u/ff8v7mjhxosaMGaNly5apYcOGKleu3F0+IQAAAAAAANiTyfq/vZYwnMX7X1J6zs13CP7VvNIqVikp6Y4Oo8Tz9CzPczIocm9s5N+4yL1xkXtjI//GRe6Ni9w7npOTSR4e7oUfK+ZYAAAAAAAAAMMxRDsqbi78yfmODqFI5ebzXjwAAAAAAFDyUIQzuNTUDFksdCQDAAAAAADYE+2oAAAAAAAAgJ2xE87gbvayQEfLzc/R1Su5jg4DAAAAAACgSFCEM7jl3/VXRs5FR4dxg/4t10qiCAcAAAAAAO4NtKMCAAAAAAAAdkYRrhh5eXkVOh4REaHY2Ni7mgsAAAAAAICSjyIcAAAAAAAAYGe8E84BrFarpk+fri1btqhatWoym81q0aKFJGn27NnatWuXrl69qmrVqmn27NmqWrWqJGnixIk6ePCgJCk6Olq1a9fWwYMHNXXqVOXk5Khy5cp65513VLt2bUfdGgAAAAAAAArBTjgHSEhI0A8//KA1a9Zozpw5Onv2rCTpzJkzOnnypJYuXaqEhATdf//9io+Pt81r1aqV4uPj1bp1ay1dulS5ubl6/fXXNWHCBMXHx6tXr156/fXXHXVbAAAAAAAAuAmKcA6wd+9ePfPMM3J1dVWVKlXUtm1bSVLt2rU1btw4LV++XNOnT9fBgweVlZVlm9exY0dJ0qOPPqq0tDSdPn1aFSpUUKNGjSRJAQEBOnv2rNLT04v/pgAAAAAAAHBTFOEcwGQyyWq12n67uPzaFXz48GENGDBAFotFnTp1UseOHQs977f5FovlhrWtVqvMZrOd7wAAAAAAAAB3giKcA7Rs2VLr169Xbm6url69qsTEREnSvn371KJFC/Xu3VsPPfSQtmzZcsuC2iOPPKK0tDQdOnRIkrRu3TrVqFFDlSpVKo7bAAAAAAAAwG3iwwwO0LFjR33//fcKDAxU1apVVadOHUlS586dNWzYMAUFBUmSGjZsqKSkpJuu4+bmptmzZ2vy5Mm6fv26KlasqNmzZxfLPQAAAAAAAOD2maz/2+8Iw1n+XX9l5Fx0dBg36N9yrVJSeLedvXh6luf5GhS5Nzbyb1zk3rjIvbGRf+Mi98ZF7h3PyckkDw/3wo8VcywAAAAAAACA4dCOanDPNVvk6BAKlZuf4+gQAAAAAAAAigxFOINLTc2QxUJHMgAAAAAAgD3RjgoAAAAAAADYGTvhDO5mLwt0pLz8bKVdyXN0GAAAAAAAAEWGIpzBrT7wvDJzkh0dRgG9fL6WRBEOAAAAAADcO2hHBQAAAAAAAOyMItwdSEpKkpeXlyZOnFhg/OjRo/Ly8lJsbOwdr/mvf/1La9asKaoQAQAAAAAAUAJRhLtDlSpVUmJiosxms21s3bp1qlKlyl2t99133yk3N7eowgMAAAAAAEAJxDvh7lC5cuVUr1497du3Tz4+PpKkHTt2qFWrVpKkb775Rh988IEsFotq1aqld955R1WrVpW/v7+Cg4O1fft2Xb9+XTNmzNC1a9e0efNm7d69W56enqpevbomT56srKwsXb58WYMHD1bv3r0VHR2t5ORknTlzRj///LOee+45vfzyy8rIyND48eOVnJysixcvqmXLlpo6dapMJpMjHxEAAAAAAAB+h51wdyEgIEAJCQmSpEOHDsnLy0uurq5KTU3VxIkT9eGHH2r16tVq1qyZ3nnnHdu8SpUqacWKFerVq5fmz5+vVq1ayd/fX8OHD1ebNm20fPlyvfLKK4qJidEXX3yhqKgo29zjx49r4cKFWr58uRYsWKBr165py5Ytql+/vpYtW6aEhATt27dPR44cKfbnAQAAAAAAgFujCHcX/P39tW3bNlksFq1fv14BAQGSpDJlyqhRo0aqWbOmJKlnz57avXu3bV6bNm0kSXXr1lVaWtoN60ZERCgnJ0fz58/XBx98oKysLNsxb29vubm5ycPDQ5UqVVJ6eroCAwPVunVrffbZZ5oyZYrS0tIKzAEAAAAAAEDJQBHuLvzWkrp//37t3r3b1opqsVgKnGe1WpWfn2/7XapUKUm6abvoyJEjtXHjRtWpU0cjR44scOy3ub/Nt1qtWrx4saKiolSlShX17dtXderUkdVqLYpbBAAAAAAAQBGiCHeXAgICNGvWLDVs2FAuLr++Wi87O1v//ve/lZSUJElatmyZvL29b7mOs7Oz7SMPO3bs0PDhw9WxY0dt27ZNkgp8AOL3duzYoZ49eyo4OFg5OTk6duzYDYVAAAAAAAAAOB4fZrhLfn5+evPNNzVixAjbWNWqVfXOO+9o2LBhysvLU40aNTR16tRbrtOqVSu9//77Kl++vF599VX16dNHpUqVUr169fTAAw/YCnqF6devnyZNmqQFCxbI3d1dTZs2veX5AAAAAAAAcAyTlf5FQ1t94Hll5iQ7OowCevl8rZSUdEeHcU/z9CzPMzYocm9s5N+4yL1xkXtjI//GRe6Ni9w7npOTSR4e7oUfK+ZYAAAAAAAAAMOhHdXggpoucXQIN8jLz3Z0CAAAAAAAAEWKIpzBpaZmyGKhIxkAAAAAAMCeaEcFAAAAAAAA7IydcAZ3s5cFFqe8/GylXclzdBgAAAAAAAB2QxHO4DYceE7Xcy84NIYQ70RJFOEAAAAAAMC9i3ZUAAAAAAAAwM7uuSJcUlKSvLy8tGPHjgLj/v7+SkpKuu11zp07p/Hjx0uS9uzZo/Dw8D+c4+XlpZCQEIWEhCggIEDDhg3TmTNnbmve3cQFAAAAAACAv4Z7rggnSa6urpowYYIyMjLueo1ffvlF586du+N5cXFxiouL0/r169W6dWsNGDBAubm5dx1HUcUFAAAAAAAAx7kni3DVqlVTq1atNGPGjEKPf/LJJ+rcubOCgoI0ffp0mc1mJSUl6dlnn1Xv3r3Vv39/TZkyRYcPH9bbb78tSbp8+bIGDRqkTp06aciQIbdVWOvdu7dKlSqlxMRESdLs2bPVo0cPderUSeHh4bp06VKB87/77js988wzOnPmjK5fv65Ro0YpMDBQQUFBWrVqlSQViCs/P1+RkZHq2bOnOnTooFdeeUXZ2dl/4skBAAAAAADAHu7JIpwkRUREaPv27Te0pW7dulWbN29WTEyMVq5cqTNnzmjp0qWSpFOnTmnmzJlatGiRIiMj1bBhQ7311luSft2BNnHiRK1fv16XLl3Szp07byuORx99VCdPntSZM2d08uRJLV26VAkJCbr//vsVHx9vO+/YsWN688039cknn6h27dqKjo5W5cqVtWbNGn3++eeKjo7WsWPHCsR14MABubq6atmyZdq4caPS09O1devWInqCAAAAAAAAKCr3bBHO3d1dkydPvqEtdffu3erSpYvKlCkjFxcXhYWFadeuXZIkDw8P1axZs9D16tWrp1q1asnJyUl16tTRlStXbisOk8mk0qVLq3bt2ho3bpyWL1+u6dOn6+DBg8rKyrKdN2DAALVq1UqPPPKILc7u3btLkqpUqaIOHTpo7969BdZu3ry5+vTpoyVLlmjq1Kk6ffp0gTUBAAAAAABQMtyzRThJ8vX1vaEt1WKx3HBefn6+JKl06dI3XcvFxcX2Z5PJJKvVelsxHD9+XI8++qgOHz6sAQMGyGKxqFOnTurYsWOBNd577z1t2LBBx44dk6Qb1rdarTKbzQXGNm3apNGjR6t06dLq1q2bmjdvfttxAQAAAAAAoPjc00U46b9tqRcvXpQk+fj4aO3atcrOzlZ+fr5iYmLk4+NzwzxnZ2dbce5uffnllzKZTPL29ta+ffvUokUL9e7dWw899JC2bNlSoKjWsmVLjRo1SpGRkbJYLPLx8dGKFSsk/fo+uk2bNqlFixYF4tq1a5cCAgIUFhamChUqaM+ePTcU6gAAAAAAAOB4Ln98yl/bb22pAwYMkCT5+fnp6NGjCgsLU35+vnx9fdW3b19duHChwLw6deooPT1dY8aMsbWF3o6QkBBJv+64q1Wrlv7+97/LyclJnTt31rBhwxQUFCRJatiwoZKSkgrM7dq1q2JjY7V48WINHTpUkyZNUlBQkMxms4YMGaIGDRroypUrtrgGDhyo0aNHa+3atXJ1dVWzZs1uWBMAAAAAAACOZ7LSv2hoGw48p+u5F/74RDsK8U5USkq6Q2MwGk/P8jxzgyL3xkb+jYvcGxe5Nzbyb1zk3rjIveM5OZnk4eFe+LFijgUAAAAAAAAwnHu+HRW39kzT5Y4OQXn52Y4OAQAAAAAAwK4owhlcamqGLBY6kgEAAAAAAOyJdlQAAAAAAADAztgJZ3A3e1lgccnLz1balTyHxgAAAAAAAGBvFOEMLvFAV2XnnnfY9Z/23iOJIhwAAAAAALi30Y4KAAAAAAAA2Nk9VYT76quv1K1bNwUHBysoKEiffvrpXa/1zTffaNGiRZKk6OhoRUdH3/L8PXv2qGnTpgoJCVFwcLA6deqkd999V5mZmX84Lzw8/K7iAgAAAAAAwF/DPdOOmpycrBkzZig2NlaVK1dWZmamwsPD9fDDD6tDhw53vN7hw4fveE7Dhg21ePFiSVJeXp7Gjx+vSZMmaebMmXe8VlHGBQAAAAAAAMe6Z3bCXblyRXl5ecrOzpYklStXTtOnT9ejjz4qSTp48KCee+45BQcHq1+/fjpz5owkKTw8XHv27JEkJSUlyd/fX//5z3+0dOlSLV26VDExMZKkQ4cOqVevXvLz8/vDXXGS5OrqqrFjx2rdunW6du2aMjIyNHz4cPXs2VN+fn4aP368rFZrgTmff/65wsPDdf36dZ06dUrh4eEKCgpSz549dejQoRviSk5O1oABA9SjRw+1b99ec+bMKbLnCQAAAAAAgKJzz+yEq1evnjp06KCOHTuqfv368vb2VlBQkGrXrq3c3Fy9/vrr+uCDD9SoUSOtX79er7/+uq3A9nuPPvqoevXqJUkKCwtTdHS0UlNTtXTpUmVkZMjf31/9+/eXu/utvyzq6empChUq6PTp0zp79qzq16+vuXPnKjc3V126dNGRI0ds58bGxmrDhg1asGCBypQpozFjxmjw4MF65plndPDgQY0YMUIJCQkF4lq4cKECAwMVGhqq9PR0tWvXTuHh4apSpUoRPVUAAAAAAAAUhXtmJ5wkvf3229q8ebN69+6tX375RT169NCGDRt0+vRpVahQQY0aNZIkBQQE6OzZs0pPT7/ttdu0aSM3NzdVqVJFlStX1tWrV29rnslkUqlSpRQYGKjWrVvrs88+05QpU5SWlqasrCxJ0o8//qgJEybohRdeULly5ZSZmamzZ8/qmWeekSQ1adJEFStW1MmTJwusPWDAAN1///1auHChpk6dqry8PF2/fv227wkAAAAAAADF454pwm3ZskXr1q1T9erVFRYWptmzZysyMlIrVqyQxWK54Xyr1Sqz2Wz7syTl5+ffdH0Xl/9uGjSZTDe0khbm0qVLSk9P14MPPqjFixcrKipKVapUUd++fVWnTh3bGuXKlVN0dLSioqKUlZVV6Nr/G+9vpk+frsWLF6tGjRp6+eWXVbly5duKCwAAAAAAAMXrninClS5dWrNmzVJSUpKkX4tWR48eVf369fXII48oLS1Nhw4dkiStW7dONWrUUKVKlVS5cmX95z//kSR9/fXXtvWcnZ1vWZT7I7m5uYqKilJoaKjKlCmjHTt2qGfPngoODlZOTo6OHTtmKw4+8MAD8vf3V4sWLTR37ly5u7urZs2a2rBhg6Rf32d36dIl1a1bt0BcO3bs0IABAxQQEKBTp04pOTm50IIjAAAAAAAAHOueeSecj4+Phg0bpiFDhigvL0/Sry2kQ4cOlZubm2bPnq3Jkyfr+vXrqlixombPni1JGjhwoCIiIhQTE1PgK6rNmzfXuHHjVLVq1duO4fDhwwoJCZEkmc1m+fj4aOzYsZKkfv36adKkSVqwYIHc3d3VtGlTJSUl6cEHH7TNHzt2rAIDAxUUFKSZM2dq0qRJio6Olqurq6Kjo+Xm5lYgrpdeekljx45V6dKldd9996lhw4Y3rAkAAAAAAADHM1npXzS0xANdlZ173mHXf9p7j1JSbv/dfCganp7lee4GRe6NjfwbF7k3LnJvbOTfuMi9cZF7x3NyMsnDo/APed4z7agAAAAAAABASXXPtKPi7rRpusqh18/Lz3bo9QEAAAAAAIoDRTiDS03NkMVCRzIAAAAAAIA90Y4KAAAAAAAA2Bk74QzuZi8LtKf8/GxduZJX7NcFAAAAAABwFIpwBrfvYKByivnrqL4t9kuiCAcAAAAAAIyDdlQAAAAAAADAzijC3UL//v319ddf237PmDFDTZs2VW5urm3M19dXSUlJRXrd5ORkDRo0qEjXBAAAAAAAgONQhLsFHx8f7d+/3/Z7586datKkiW3szJkzKlu2rGrWrFmk161evbr+/ve/F+maAAAAAAAAcBzeCXcLLVu21Lvvvivp191pbm5u6tSpk7Zv366WLVvq22+/1YULFzRq1CjNmjVLkhQdHa1SpUopPDxckZGROn78uEwmkwYMGKCuXbsqNjZWW7ZsUVpami5evKhevXrp559/1u7du1WpUiV9+umnSklJ0QsvvKDNmzcrIiJC7u7uOnLkiJKTkzV06FCFhYUpPT1dY8eO1dmzZ1WrVi1duHBB8+bNK/KCIAAAAAAAAP48dsLdQoMGDXT27Fnl5ORo+/btat26tVq3bq3t27dLkr799ltNnjxZu3btUkZGhiRpzZo1CgkJUXR0tCpXrqw1a9bo888/V3R0tI4dOyZJ+v777/XRRx9p4cKFmjZtmtq2bavVq1dLkhITE2+I48KFC/ryyy/18ccfKyoqSpL04Ycf6uGHH9batWs1dOhQ/fjjj8XxSAAAAAAAAHAXKMLdgrOzsxo3bqzvv/9e27dvl6+vr2rVqqXs7GxdvXpVBw4cUIcOHdSuXTtt3LhR3377rWrVqqXq1atr9+7d6t69uySpSpUq6tChg/bu3StJatasmdzd3fXAAw9I+nXHnSQ98MADunbt2g1xtG7dWiaTSY899pjS0tIkSTt27FBISIgk6YknntBjjz1m78cBAAAAAACAu0QR7g/4+Pjou+++06FDh9SkSRNJvxbNNm3apMqVK8vd3V1hYWFas2aNVq9erW7dukmSrFZrgXWsVqvMZrMkydXVtcAxF5dbdwWXKlVKkmQymWxjzs7ON1wDAAAAAAAAJRNFuD/QsmVLxcXF6bHHHrMVy1q3bq1FixapdevWkqSnnnpKFy5c0J49e9SxY0dJvxbvVqxYIUm6fPmyNm3apBYtWhRpXL+1sB4/flwnTpwoUKQDAAAAAABAyUER7g/81gLq6+trG/Px8dHJkyfVqlUr29jTTz8tHx8fubm5SZKGDh2qtLQ0BQUFqW/fvhoyZIgaNGhQZHENHTpUZ8+eVVBQkObOnauqVauqdOnSRbY+AAAAAAAAio7JSk/jn2K1WpWXl6f+/ftr/PjxRVpou5W4uDjVrFlTTz75pH755Rf17dtXX3/9tZyc7qyuuu9goHJyz9spysL5ttivlJT0Yr0mCvL0LE8ODIrcGxv5Ny5yb1zk3tjIv3GRe+Mi947n5GSSh4d7ocdu/TIy/KGUlBR16dJFzz33XLEV4CTpkUce0VtvvSWLxSInJye98847d1yAAwAAAAAAQPGgCPcnVatWTfv27Sv26z7xxBOKjY390+s0b7KmCKK5M/n52cV+TQAAAAAAAEeiCGdwqakZsljoSAYAAAAAALAn+hcBAAAAAAAAO2MnnMHd7GWB9pCfn60rV/KK7XoAAAAAAAAlBUU4gzt8KEi5xfR11GZPfSuJIhwAAAAAADAe2lEBAAAAAAAAO6MId4d69+6ttWvXFhjLysqSt7e3Ll++7KCopPDwcIddGwAAAAAAALdGEe4OhYWFafXq1QXGNmzYIG9vb1WpUsVBUUl79+512LUBAAAAAABwa7wT7g4FBAQoKipKaWlpqlSpkiQpPj5effv21bhx43TixAmZzWYNGjRIgYGBio2N1cqVK5WWliY/Pz9dvHhRZcqU0Q8//KBr167p9ddfV1xcnI4dO6aOHTsqIiJCFotF7777rnbt2iWTyaTg4GANHjxYe/bs0fz581W6dGn99NNP8vLy0nvvvaeoqChJ0nPPPafly5c78OkAAAAAAACgMBTh7lC5cuXUoUMHffXVV+rVq5eSk5N16tQp7du3Tw0aNNCMGTOUkZGhXr16qXHjxpKk5ORkrVu3Ti4uLoqIiNDFixe1bNkyrVy5Um+88YYSEhJUqlQptW3bVkOHDlV8fLzOnz+v+Ph45ebmKjw8XI899pjKlCmjAwcOaP369apWrZp69Oih7du3KzIyUosXL6YABwAAAAAAUELRjnoXunXrpjVr1kiSVq9ereDgYO3Zs0dLly5VSEiInn/+eWVlZenEiROSpMcff1wuLv+td7Zt21aSVKNGDdWtW1ceHh5yd3dXpUqVdPXqVe3Zs0ehoaFydnZWmTJlFBQUpF27dkmS6tatq/vuu09OTk6qU6eOrl69Wsx3DwAAAAAAgDvFTri70Lx5c6WkpNh2q82bN09bt27VzJkz1aBBA0nSpUuXVLFiRa1evVqlS5cuMN/V1dX25/8tzv3GYrEU+G21WmU2myVJpUqVso2bTCZZrdYiuy8AAAAAAADYBzvh7lLXrl318ccfq2LFinrwwQfl4+Ojf/7zn5KkixcvKjg4WOfPn7+rtX18fLRq1SqZzWZdv35dq1evlre39y3nODs7Kz8//66uBwAAAAAAAPuiCHeXunXrppiYGIWFhUmShg0bpuzsbAUGBqpfv34aM2aMHnzwwbtau2fPnrrvvvsUEhKirl27ys/PT08//fQt53To0EEhISHKycm5q2sCAAAAAADAfkxW+hkN7fChIOXm3t2OvTvV7KlvlZKSXizXwq15epYnFwZF7o2N/BsXuTcucm9s5N+4yL1xkXvHc3IyycPDvfBjxRwLAAAAAAAAYDh8mMHgGjZaXWzXys/PLrZrAQAAAAAAlCQU4QwuNTVDFgsdyQAAAAAAAPZEOyoAAAAAAABgZ+yEM7ibvSzwduXnZ+vKlbwiigYAAAAAAODeRBHO4E7+0E35uRfuev5jTXZKoggHAAAAAABwK7SjAgAAAAAAAHZGEc4OkpKS5O/vf8O4l5dXkV8rOTlZgwYNkiTNmTNHmzZtKvJrAAAAAAAA4M+hHfUvrnr16vr73/8uSRoxYoSDowEAAAAAAEBh2AlXzDIyMjR8+HD17NlTfn5+Gj9+vKxWq4KCgvTTTz9JkkaNGqW33npLknTgwAENHjxY+fn5ioyMVM+ePdWhQwe98sorys7OLrDrLiIiQrGxsQ67NwAAAAAAABSOnXB2cvHiRYWEhNwwvmXLFtWvX19z585Vbm6uunTpoiNHjqhdu3batWuX6tSpox9//NF2fmJiotq3b68DBw7I1dVVy5Ytk8ViUb9+/bR161Y1aNCgOG8LAAAAAAAAd4EinJ1Uq1ZNcXFxBca8vLwUGBioQ4cO6bPPPtPJkyeVlpamrKwstWvXTp999pl8fHz06KOP6uTJk0pNTdW2bds0d+5c1ahRQ5UqVdKSJUt08uRJnT59WllZWQ66OwAAAAAAANwJ2lGL2eLFixUVFaUqVaqob9++qlOnjqxWq5o2bapjx45p586datGihZo3b66vvvpK+fn5qlGjhjZt2qTRo0erdOnS6tatm5o3by6r1ero2wEAAAAAAMBtoAhXzHbs2KGePXsqODhYOTk5OnbsmCwWi1xcXNSoUSMtXrxYLVq0kI+Pjz755BO1a9dOkrRr1y4FBAQoLCxMFSpU0J49e2Q2mx18NwAAAAAAALgdtKMWs379+mnSpElasGCB3N3d1bRpUyUlJUmS2rVrp3379qlOnTry9PRUamqq2rdvL0l67rnnNHr0aK1du1aurq5q1qyZbR4AAAAAAABKNpOVnkZDO/lDN+XnXrjr+Y812amUlPQijAjFwdOzPHkzKHJvbOTfuMi9cZF7YyP/xkXujYvcO56Tk0keHu6FHyvmWAAAAAAAAADDoR3V4B55PPZPzc/Pz5GTk6mIokFxIm/GRe6NjfwbF7k3LnJvbOTfuMi9cZF7x7rV86cdFQAAAAAAALAz2lEBAAAAAAAAO6MIBwAAAAAAANgZRTgAAAAAAADAzijCAQAAAAAAAHZGEQ4AAAAAAACwM4pwAAAAAAAAgJ1RhAMAAAAAAADsjCIcAAAAAAAAYGcU4QAAAAAAAAA7owhnQKtXr1bnzp31zDPPaMmSJY4OB0Vk3rx56tKli7p06aKoqChJ0s6dOxUUFKRnnnlGs2fPtp179OhRdevWTZ06ddKbb76p/Px8SdIvv/yi559/Xs8++6xefvllZWZmOuRecHdmzJihiIgISeTeSDZv3qxu3bopICBAU6ZMkUT+jSIuLs727/6MGTMkkft7XUZGhgIDA5WUlCSp6PJ97do1DR48WAEBAXr++eeVkpJS/DeHP/T7/C9btkyBgYEKCgrSG2+8odzcXEnk/170+9z/5h//+IfCw8Ntv8n9vef3uT9w4IB69OihLl266PXXX+e/+78iKwzlwoULVj8/P+uVK1esmZmZ1qCgIOuJEyccHRb+pB07dlh79uxpzcnJsebm5lpfeOEF6+rVq63t2rWznj171pqXl2f929/+Zt2yZYvVarVau3TpYj1w4IDVarVa33jjDeuSJUusVqvVOnjwYOuaNWusVqvVOm/ePGtUVJRD7gd3bufOnVZvb2/ruHHjrNevXyf3BnH27Fmrr6+v9fz589bc3Fxr7969rVu2bCH/BpCVlWVt3ry5NTU11ZqXl2ft3r27ddOmTeT+Hnbw4EFrYGCgtUGDBtZz584V6b/1b7/9tnX+/PlWq9VqXblypXXEiBHFe3P4Q7/P/8mTJ61PP/20NT093WqxWKxjx461Llq0yGq1kv97ze9z/5sTJ05Y27RpY+3bt69tjNzfW36f+/T0dGvr1q2tR48etVqtVutrr71myzG5/+tgJ5zB7Ny5Uz4+PqpUqZLKli2rTp066auvvnJ0WPiTPD09FRERITc3N7m6uqpOnTo6ffq0ateurVq1asnFxUVBQUH66quv9PPPPys7O1tNmjSRJHXr1k1fffWV8vLytG/fPnXq1KnAOEq+tLQ0zZ49W0OGDJEkHTp0iNwbxMaNG9W5c2fdd999cnV11ezZs1WmTBnybwBms1kWi0XXr19Xfn6+8vPz5e7uTu7vYf/617/01ltvqVq1apKK9t/6LVu2KCgoSJIUGBiobdu2KS8vr/hvEjf1+/y7ubnprbfekru7u0wmkx577DH98ssv5P8e9PvcS1Jubq4mTpyo4cOH28bI/b3n97nfsWOHmjRponr16kmSIiMj9fTTT5P7vxgXRweA4nXx4kV5enraflerVk2HDh1yYEQoCnXr1rX9+fTp01q/fr369u17Q66Tk5Nv+Dvg6emp5ORkXblyRe7u7nJxcSkwjpJv4sSJeu2113T+/HlJhf93Tu7vTWfOnJGrq6uGDBmi8+fPq3379qpbty75NwB3d3eNGDFCAQEBKlOmjJo3b85/+/e4qVOnFvhdlPn+3zkuLi5yd3fX5cuXVb16dXvfFm7T7/P/wAMP6IEHHpAkXb58WUuWLNG0adPI/z3o97mXpFmzZiksLEw1a9a0jZH7e8/vc3/mzBmVLVtWr732mk6ePKlmzZopIiJCP/zwA7n/C2EnnMFYLBaZTCbbb6vVWuA3/tpOnDihv/3tbxo7dqxq1apVaK5v9negsL8L/N0o+ZYvX677779fLVu2tI3dLMfk/t5jNpu1a9cuvfvuu1q2bJkOHTqkc+fOkX8DOHbsmGJiYvTNN98oMTFRTk5OOn36NLk3EHv+W2+1WuXkxP+Z8FeQnJysfv36KSwsTN7e3uTfAHbs2KHz588rLCyswDi5v/eZzWZt375dr7/+umJjY3X9+nUtWLCA3P/F8JQN5r777ivw0sWUlJQCW5vx17V//369+OKLGjVqlEJDQ2+a69+PX7p0SdWqVVOVKlWUnp4us9lc4HyUbOvWrdOOHTsUEhKiuXPnavPmzVq+fDm5N4iqVauqZcuWqlKlikqXLq2OHTtq586d5N8Atm/frpYtW8rDw0Nubm7q1q2b9uzZQ+4NpCj/93y1atV06dIlSVJ+fr4yMzNVqVKl4rsZ3JWffvpJvXr1UmhoqIYOHSrpxr8X5P/es2bNGp04cUIhISGKjIzU4cOHNXLkSHJvAFWrVlXjxo1Vq1YtOTs7KyAgQIcOHSL3fzEU4QymVatW2rVrly5fvqzr169rw4YNatu2raPDwp90/vx5DR06VO+99566dOkiSWrcuLFOnTqlM2fOyGw2a82aNWrbtq0eeOABlSpVSvv375f069f12rZtK1dXVz311FNat26dJGnVqlX83fgLWLRokdasWaO4uDgNHz5c/v7++vTTT8m9Qfj5+Wn79u26du2azGazEhMT9eyzz5J/A6hXr5527typrKwsWa1Wbd68mX/3DaYo892uXTutWrVK0q//z52nnnpKrq6uDrkv3J6MjAwNGDBAI0aM0N/+9jfbOPm/902bNk3r169XXFycpkyZooYNG+qDDz4g9wbg6+urI0eO2F5B880336hBgwbk/i/GZLVarY4OAsVr9erVmj9/vvLy8tS9e3cNGjTI0SHhT5oyZYpiYmL04IMP2sZ69eqlhx56SNOmTVNOTo7atWunN954QyaTSceOHVNkZKQyMjLUoEEDTZs2TW5ubvr5558VERGh1NRU3X///Xr//fdVsWJFB94Z7kRsbKz27t2r6dOna9euXeTeIFasWKHPPvtMeXl5at26tSIjI7Vnzx7ybwALFixQbGysXF1d9cQTT+itt97Sd999R+7vcf7+/vriiy9Us2bNIvu3Pi0tTRERETp37pzKly+v9957r8C7plBy/Jb/r7/+Wu+9957q1KlT4NiIESPI/z3qf//b/82ePXs0b948LV68WJLI/T3qf3O/ZcsWzZ49Wzk5Oapfv77effddlSlThtz/hVCEAwAAAAAAAOyMdlQAAAAAAADAzijCAQAAAAAAAHZGEQ4AAAAAAACwM4pwAAAAAAAAgJ1RhAMAAAAAAADsjCIcAAAA7gl/+9vfdPnyZUeHAQAAUCiKcAAAALgn7Nixw9EhAAAA3BRFOAAAANjdihUr1KVLFwUFBemFF17Q+fPntWzZMgUGBio4OFh/+9vfdOrUKUlSRESEFi5caJv7v7/9/f0VHR2tPn36yM/PTx988IEk6Y033pAk9evXT+fPn9eXX36p4OBghYWFqU+fPvrPf/5TvDcMAADwOy6ODgAAAAD3tmPHjum9997TypUrdf/99+uzzz7Tiy++KIvFomXLlqlKlSqKjY3V0KFDtXbt2j9cLysrS19++aWSk5P19NNPKywsTNOmTVNsbKw+//xzVaxYUe+++642b96satWqadWqVdq/f78effTRYrhbAACAwlGEAwAAgF3t2rVLvr6+uv/++/X/2rtblljCMAzA9ziIxnVFLH5Ef4IGYQWDm02WxQkWm4j+A202i/oLLFaLFpNg1X+gxQ2CTXBxTjoL5wNcDmfadaWZ932Yl6fevA+TJFVVpd/vZ3x8PO12O0myubmZ4+PjvLy8fPu99fX1JMns7Gymp6fz/v6e+fn54X5Zlul2u9na2sra2lpWV1fT6XQa6AwAYHTGUQEAaFRZlimKYvj+8fGR5+fnP+rqus5gMEhRFKnrerj++fn5S93ExMTw+ffan05OTnJ2dpaFhYVcXFxkf3//f7QCAPDPhHAAADRqeXk59/f36ff7SZLLy8vc3d3l+vp6+DfTq6urtFqtLC4uZmpqKk9PT0mS19fXPDw8jHROWZYZDAZ5e3tLp9NJq9VKVVXZ29vL4+NjM80BAIzIOCoAAI1aWlrK4eFhdnZ2kiQzMzO5ubnJ7e1ttre38/X1lXa7nfPz84yNjaXX6+Xg4CAbGxuZm5vLysrKSOd0u930er2cnp5md3c3VVVlcnIyZVnm6OioyRYBAL5V1H+7vw8AAAAA/DfGUQEAAACgYUI4AAAAAGiYEA4AAAAAGiaEAwAAAICGCeEAAAAAoGFCOAAAAABomBAOAAAAABomhAMAAACAhv0AB7WkKbnuMzwAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1440x1080 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_state = gun_data[(gun_data['year'] > 2013) & (gun_data['year'] < 2018)]\n",
    "df_state = df_state.groupby(['state']).size().reset_index(name='counts')\n",
    "df_state = df_state.sort_values(by='counts', ascending=False)\n",
    "sns.set(rc = {'figure.figsize':(20,15)})\n",
    "sns.barplot(x='counts', y='state', data=df_state, palette='viridis');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_year = gun_data.loc[:,['year', 'state']]\n",
    "df_year = df_year.groupby(['year']).size().reset_index(name='counts')\n",
    "# print(df_year)\n",
    "sns.set(rc = {'figure.figsize':(15,8)})\n",
    "sns.barplot(x='year', y='counts', data=df_year.loc[1:4,:], palette='viridis').set(title=\"Gun Violence Incidents by year\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_month = gun_data[(gun_data['year'] != 2013) & (gun_data['year'] != 2018)]\n",
    "df_month = df_month.groupby(['year', 'month']).agg({'month': 'count'}).rename(columns={'month': 'month_count'}).reset_index()\n",
    "# print(df_month)\n",
    "sns.barplot(x=\"month\", y=\"month_count\", data=df_month, palette='viridis').set(title=\"Gun Violence Incidents by month\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'counts')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_month_pattern = gun_data[(gun_data['year'] != 2013) & (gun_data['year'] != 2018)]\n",
    "df_month_pattern = df_month_pattern.groupby(['year', 'month']).size().reset_index(name='counts')\n",
    "df_month_pattern = df_month_pattern.pivot(index='month', columns='year', values='counts')\n",
    "#print(df_month_pattern)\n",
    "sns.set(rc = {'figure.figsize':(15,8)})\n",
    "month_lineplot = sns.lineplot(data=df_month_pattern)\n",
    "month_lineplot.set_ylabel(\"counts\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_week = gun_data[(gun_data['year'] != 2013) & (gun_data['year'] != 2018)]\n",
    "df_week = df_week.groupby(['year', 'weekday']).agg({'weekday': 'count'}).rename(columns={'weekday': 'weekday_count'}).reset_index()\n",
    "map = {0:'Mon', 1:'Tue', 2:'Wed', 3:'Thu', 4:'Fri', 5:'Sat', 6:'Sun'}\n",
    "df_week['weekday'] = df_week['weekday'].map(map)\n",
    "df_week\n",
    "sns.barplot(x=\"weekday\", y=\"weekday_count\", data=df_week, palette='viridis').set(title=\"Gun Violence Incidents by Day of the week\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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>state</th>\n",
       "      <th>year</th>\n",
       "      <th>felony</th>\n",
       "      <th>invcommitment</th>\n",
       "      <th>invoutpatient</th>\n",
       "      <th>danger</th>\n",
       "      <th>drugmisdemeanor</th>\n",
       "      <th>alctreatment</th>\n",
       "      <th>alcoholism</th>\n",
       "      <th>relinquishment</th>\n",
       "      <th>...</th>\n",
       "      <th>expartedating</th>\n",
       "      <th>dvrosurrender</th>\n",
       "      <th>dvrosurrendernoconditions</th>\n",
       "      <th>dvrosurrenderdating</th>\n",
       "      <th>expartesurrender</th>\n",
       "      <th>expartesurrendernoconditions</th>\n",
       "      <th>expartesurrenderdating</th>\n",
       "      <th>dvroremoval</th>\n",
       "      <th>stalking</th>\n",
       "      <th>lawtotal</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>California</td>\n",
       "      <td>8062</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Massachusetts</td>\n",
       "      <td>8062</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Connecticut</td>\n",
       "      <td>8062</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>342</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Hawaii</td>\n",
       "      <td>8062</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>New York</td>\n",
       "      <td>8062</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>296</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 137 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            state  year  felony  invcommitment  invoutpatient  danger  \\\n",
       "4      California  8062       4              4              0       4   \n",
       "20  Massachusetts  8062       4              4              4       4   \n",
       "6     Connecticut  8062       4              4              4       4   \n",
       "10         Hawaii  8062       4              4              4       4   \n",
       "31       New York  8062       4              4              4       4   \n",
       "\n",
       "    drugmisdemeanor  alctreatment  alcoholism  relinquishment  ...  \\\n",
       "4                 0             0           4               0  ...   \n",
       "20                4             4           0               4  ...   \n",
       "6                 4             0           0               4  ...   \n",
       "10                4             4           0               4  ...   \n",
       "31                4             0           0               4  ...   \n",
       "\n",
       "    expartedating  dvrosurrender  dvrosurrendernoconditions  \\\n",
       "4               4              4                          4   \n",
       "20              4              4                          4   \n",
       "6               2              4                          4   \n",
       "10              4              4                          4   \n",
       "31              4              4                          4   \n",
       "\n",
       "    dvrosurrenderdating  expartesurrender  expartesurrendernoconditions  \\\n",
       "4                     4                 4                             4   \n",
       "20                    4                 4                             4   \n",
       "6                     4                 2                             2   \n",
       "10                    4                 4                             4   \n",
       "31                    4                 4                             4   \n",
       "\n",
       "    expartesurrenderdating  dvroremoval  stalking  lawtotal  \n",
       "4                        4            4         4       412  \n",
       "20                       4            4         4       404  \n",
       "6                        2            0         4       342  \n",
       "10                       4            0         2       314  \n",
       "31                       4            0         4       296  \n",
       "\n",
       "[5 rows x 137 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "laws_data = pd.read_csv('statefirearmlaws.csv')\n",
    "df_laws = laws_data[(laws_data['year'] > 2013) & (laws_data['year'] < 2018)]\n",
    "df_laws = df_laws.groupby(['state']).sum().reset_index().sort_values(by='lawtotal', ascending=False)\n",
    "df_laws.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA7kAAAHiCAYAAAAtcQvdAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/MnkTPAAAACXBIWXMAAAsTAAALEwEAmpwYAADFD0lEQVR4nOzdeViV1fr/8fdmdCAFMS3HygwHHEtBcUL85ogKmKiJw3HIAYdKFBNJ0xxzRDPtlKXHwhQUFM1McwzH9KipWKkkZRgiCCLj3r8//LlP5JDzVvi8rstLeIb13M9af92s9azbYDKZTIiIiIiIiIgUAFaWDkBERERERETkQVGSKyIiIiIiIgWGklwREREREREpMJTkioiIiIiISIGhJFdEREREREQKDCW5IiIiIiIiUmDYWDoAERERERERebxkXc0iPSPH0mHclJWVASen4rc8X2CT3PT0dGbNmsX+/fuxtramRIkSBAcHU7NmzZten5CQQK9evdi6dSvz5s3D1dUVLy8v5s+fT2RkJL1796Zv3773FVOnTp2Iioq6rzau6173DRLP/flA2hIREREREfmrrRcjuZyebekw7kmBTHKNRiMDBgzAzc2NtWvXYmNjw549exgwYAAxMTE4OTnd9v4RI0aYf46KimLp0qU8//zz9x3Xg0pwRURERERE5OYKZJK7d+9ezp8/z/Dhw7GyuvbZsbu7O1OnTsVoNBISEsJPP/1EUlISLi4uzJ49O9/9wcHBNGzYkMOHD5OYmMjQoUOZNWsWf/zxB3PnzsVoNFKxYkXee+89SpcuTcuWLalduzYnTpxg5syZhIaGUrVqVU6cOIGzszPz5s3D0dERFxcX4uLiSExM5J133iEtLY0LFy7g4+OTL7EWERERERGRe1MgN546fvw41apVMye41zVv3pzTp09ja2vLypUr2bx5M2lpaWzfvv2m7bz33nuUKVOGJUuWUKZMGUJDQ1m4cCHr1q2jfv36vPfee+ZrmzVrxqZNmyhVqhQnT56kb9++rF+/nhIlSrBu3bp87a5fv54OHTrw1VdfsW7dOj7//HOSk5MffEeIiIiIiIgUMgVyJtfKygp7e/ubnmvQoAGOjo6sWLGC06dPc/bsWTIyMv6xzSNHjlC7dm0qVKgAgL+/P0uWLDGfr1OnjvlnZ2dnatSoAUDVqlVJTU3N11a/fv3Ys2cPn3zyCT/99BM5OTlcvXr1rt9TRERERERE8iuQM7murq4cP34ck8mU7/js2bP59ttvGTVqFEWKFMHX15cGDRrccN3NGI3GfL+bTCZyc3PNv/81qf7rzwaD4Yb2p02bxvLlyylXrhyDBw/GycnpjmIQERERERGR2yuQM7mvvPIKzs7OLFiwgCFDhmBtbc3OnTuJjIwkNTWVtm3b4ufnx7lz59i7dy+NGjX6xzbr1KnDu+++S0JCAhUqVGDlypW4ubndU3y7d+9m4sSJ1K9fn23btpGYmHhDEv1Pvjy8+J6eLSIiIiIi8k8yM7IsHcI9K5BJrsFg4MMPP2Tq1Kl06NABGxsbnJycWLJkCdbW1owaNYqYmBhsbW2pX78+CQkJ/9hm6dKlee+99wgMDCQnJ4dy5crx/vvv31N8b7zxBqNHj6ZIkSI888wzuLq6kpCQQKVKle64jYsX0zEaNftrKU8//RR//plm6TAKNY2BZan/LU9jYHkaA8vTGFiW+t/yNAY3ZzA9wnWyCQkJeHl54e/vn2/TphMnTtC5c2emTp2Kr6/vowoHgLCwMACGDRv2UNr/6quvKFasGB06dOC7777j7Nmz911vV0RERERE5J9kZmSRduXJrHV7O1ZWBpydHW55/pHP5Do6OrJz507y8vKwtrYGYMOGDZQqVepRh/JI/PDDDzRs2BCAY8eOPbB2e7oNIzEh6YG1JyIiIiIiBcvm374skEnuP3nkSW7x4sWpVq0a+/fvx93dHbj2jWrjxo0B+M9//kNUVBRXr17F1taWWbNm8cILLzB9+nR2796NlZUVrVq1IjAwkNjYWGbOnAlAyZIlmTVrFqVKlWLOnDnExsaSmppKmTJlmDNnDqVLl2bdunUsWrQIg8FArVq1mDRpEnBt5+Ru3bqRmJiIr68vw4YNIzIykn379jFt2jQAAgICCAwMpHLlyowaNYqMjAysrKwICQmhbt26HDlyhKlTp5KZmYmTkxMTJ07k3LlzbN26lT179pCWlkZ4eDgA5cqVo1y5cjeNXURERERERO6dRb7Jbdu2LZs2bcLd3Z0jR47g4uKCyWQiPT2drVu3snz5cooUKcK8efNYsWIF//rXv9ixYwcxMTFcvXqVsWPHkpWVxYcffsiECROoXbs2H3/8McePH6dixYqcPn2a8PBwrKysGD16NNHR0bRv356pU6cSGRnJM888Q1BQkLk+7sWLFwkPDyc9PZ2WLVvedjnx6tWradGiBf3792fHjh0cPHiQGjVqEBISwkcffUS5cuXYuXMn48eP57PPPqNly5Y0bNgQX19fLl++DICfnx8BAQE3xN6kSZNH0v8iIiIiIiIFlUWS3JYtWzJ37lyMRiMbN26kbdu2bNiwAQcHB2bNmkVMTAxnz55l586dVK9enbJly2Jvb0+3bt3w9PRk1KhR2Nvb4+XlRWBgIK1atcLLywsPDw8AxowZw6pVqzhz5gyHDx+mUqVKHDp0iPr16/PMM88AmGdRT5w4QdOmTbGzs6NUqVI4OTndUNf2rxo1asSwYcM4ceIEzZs3p2fPnpw9e5Zz584xePBg83Xp6em37YNbxS4iIiIiIiL3ziJ1cq8vWT548CB79uwxL1U+f/48/v7+pKWl0axZM3x8fDCZTNjY2LBq1SpGjBhBSkoK3bp148yZM/Tp04fly5dTqVIlZs6cyaJFizh27Bj9+vXDaDTSunVrWrVqZW7DYDCYY0hOTiY5ORkAG5v/5frX69r+vb5tTk4OAC+//DIxMTE0adKEDRs2MGjQIIxGIxUqVCAqKoqoqCgiIyP54osvbtsHN4tdRERERERE7o9Fkly4tmR51qxZuLq6mpPMYsWKUblyZfr06UOtWrX49ttvycvL4/jx4/Ts2ZMGDRowZswYqlSpwpkzZ3jttde4cuUKffr0oU+fPhw/fpz9+/fTsGFDunfvznPPPce2bdvIy8ujVq1aHD58mD///BOAKVOmsGXLllvG5+TkxC+//ILJZOLcuXPExcUBMGPGDKKjo/Hx8SE0NJTjx4/zwgsvkJqayoEDBwCIiIhg1KhRAFhbW5OXl2f+OTc3F+CmsYuIiIiIiMj9sVidXE9PT8aNG8eIESPMx2xtbTEajbRr1w6TyUSDBg346aefqFGjBnXr1qVDhw4ULVqU+vXr06xZM4oWLUpwcDA2NjYUK1aMyZMnU7RoUQIDA/H29gYw16AtW7Ys48aNM8/y1q1bF19fXz788MObxte4cWMiIiJo06YNzz//PC+//DJwbQOqt99+m8jISKytrZk+fTp2dnbMmzeP999/n6ysLBwcHJg+fbq5ndmzZ/PUU0+Zk/TSpUvz1ltv3RD73fjP3rB76XYRERERESkkMjOyLB2CRTzSOrny4Fy8mI7RqKGzFBXetjyNgWWp/y1PY2B5GgPL0xhYlvrf8grrGPxTndwnKslNT09n1qxZ7N+/H2tra0qUKEFwcDA1a9a0SDxpaWkEBwezcOFCEhMTCQkJ4eOPP77rdsaOHUtgYCDly5d/CFGKiIiIiNxc5tUs0tLvrY5qYU2wHieFdQz+Kcm12HLlu2U0GhkwYABubm6sXbsWGxsb9uzZw4ABA4iJicHJyemRx5SamsqJEycAKFu27D0luAB79+5l6NChd3VPr6ajSPwt6Z6eJyIiIiICsOn0Z/ec5Io8rp6YJHfv3r2cP3+e4cOHY2V1bb8sd3d3pk6ditFo5KOPPiI6Ohpra2s8PDwICgri/PnzBAYGUrVqVU6cOIGzszPz5s3D0dGRJk2a0Lp1aw4ePIi1tTVz586lYsWKHDlyhKlTp5KZmYmTkxMTJ06kYsWKnDhxgtDQUDIzMylZsiQffPABkydP5sKFCwwdOpSxY8fSq1cvtm7dym+//cbYsWNJTk6mSJEiTJ48GQcHB/N5gLCwa9/U2tvbc+HCBQYOHMiKFSsskqyLiIiIiIgUFBbbXfluHT9+nGrVqpkT3OuaN2/OsWPH2Lp1KxEREaxZs4b4+HjCw8MBOHnyJH379mX9+vWUKFGCdevWAfDnn3/SqFEj1q5dS4MGDVixYgXZ2dmEhIQwa9Ys1qxZQ9++fRk/fjwAo0aNYsiQIaxbt4527drx+eefExISQpkyZVi4cGG+mCZOnEjr1q1Zv349w4YNu215oIEDB1KmTBmWLFmiBFdEREREROQ+PTEzuVZWVtjb29/03J49e2jfvj1FixYFwM/Pj7Vr19K8eXOcnZ2pUaMGAFWrViU1NdV8X9OmTc3HDxw4wNmzZzl37hyDBw82X5Oenk5ycjJ//vknnp6eAPTo0QOAhISEm8azf/9+Zs+eDVxLwps3b37La0VEREREROTBeWKSXFdXV7744gtMJhMGg8F8fPbs2cTGxuLj45Pv+uv1aP+aGBsMBv66z9b1c9ePG41GKlSoQFRUFAB5eXkkJSVha2ub75lZWVlcuHAh37G/ul73F8BkMvHLL79QtGjRfM/Ozc3Nd52IiIiIiIjcvydmufIrr7yCs7MzCxYsIC8vD4CdO3cSGRlJ7969iYmJITMzk9zcXCIiInB3d7/rZ7zwwgukpqZy4MABACIiIhg1ahRPPfUUZcuWZdeuXQBERUUxb948bGxszMn032ONiYkB4Pvvv2f8+PGUKFGClJQUkpOTyc7OZufOnebrra2tze8kIiIiIiIi9+6JmUo0GAx8+OGHTJ06lQ4dOmBjY4OTkxNLliyhRo0anD9/Hj8/P3Jzc2nSpAk9e/bkjz/+uKtn2NnZMW/ePN5//32ysrJwcHBg+vTpAMycOZMJEyYwc+ZMnJycmDFjBk5OTpQrV46AgACmTp1qbic0NJSQkBC++OILihYtyuTJk3nqqafo378/Xbp04ZlnnqFWrVrm61u0aMHAgQP597//TcWKFe8o1mU7P7irdxMRERER+bvMq1mWDkHkgXui6uSKiIiIiFjC/dSTLagKa43Wx0lhHYMCUyf3UUhISMhX5uc6FxcX4uLiHuizEhMTCQkJ4eOPP2bevHm4urri5eV1x/f39hrLhd8vPtCYREREROTmNp5YoiRX5AmhJNdCypYty8cffwzAiBEjLByNiIiIiIhIwfDEbDxlaenp6QwfPhx/f388PT155513MJlMeHt788svvwDw9ttv8+677wJw6NAhBg4cSG5uLiEhIfj7++Pl5cWQIUPIzMwkISGBli1bAhAcHExkZKTF3k1ERERERKSg0Ezu31y4cIFOnTrdcHzbtm1Ur16d+fPnk52dTfv27fnxxx9p3rw5sbGxVKlShVOnTpmv37lzJy1atODQoUPY2tqycuVKjEYjvXv3Zvv27dSsWfNRvpaIiIiIiEihoCT3b8qUKWOuk3udi4sLHTp04MiRI3z22WecPn2alJQUMjIyaN68OZ999hnu7u68+OKLnD59mosXL7Jjxw7mz59PuXLlcHR0ZMWKFZw+fZqzZ8+SkZFhobcTEREREREp2LRc+Q4tX76cGTNmUKpUKXr27EmVKlUwmUzUq1ePkydP8v3339OwYUMaNGjA119/TW5uLuXKlWPLli2MGjWKIkWK4OvrS4MGDdCG1iIiIiIiIg+HZnLv0O7du/H398fb25ujR49y8uRJjEYjNjY21K5dm+XLl/PRRx/x9NNPM3HiRHx9fQGIjY2lbdu2+Pn5ce7cOfbu3UujRo3uO57Pt0z954tERERE5IFQPVmRJ4eS3DvUu3dvJkyYwJIlS3BwcKBevXokJCQA0Lx5c/bv30+VKlV4+umnuXjxIi1atADgtddeY9SoUcTExGBra0v9+vXN992PixfTMRo1I2wphbUm2eNEY2BZ6n/L0xhYnsbA8jQGInIzBlMBXDubkJCAl5cXn376KR4eHubjLVu2ZNmyZVSoUOG+n/HGG2/wwgsvMGbMGPOx8PBwIiMj+fLLL7G2tv7HGG9Wk1dERERErsm8mk1a+q1nUJXkWpb63/IK6xhYWRlwdna45fkCO5Nra2vL+PHjiY6OxsHh1h1wr9577z06duyIt7c3NWrUIDExkQULFrBs2bJ/THAfhD5tQ7nwe/JDf46IiIiIpWz474LbJrkiIjdTYDeeKlOmDI0bN2b69Ok3Pb9kyRJ8fHzo2LEjM2bMwGQyMWjQILZv3w7A7Nmz6d+/P3CtrFCHDh3y3V+2bFlGjRpFSEgIRqORyZMnM2DAAF544QW+++47OnXqhLe3N0OGDCEpKQm4NpM8cuRIWrduTXLy/xLUTZs20bFjx3zHRERERERE5O4V2CQXIDg4mF27drF79+58x3fs2MGxY8dYvXo1a9euJTExkejoaJo3b86ePXsAOHDgAKdPnyYvL4+dO3fSvHnzG9p/7bXXcHR0JCgoiJSUFHr16sXFixcJDQ1l4cKFrFu3jvr16/Pee++Z72nWrBmbNm2iVKlSAOzatYuFCxfy6aefmo+JiIiIiIjIvSnQSa6DgwOTJk1i/PjxpKenm4/HxsZy5MgRfH198fHx4dixY/z888+0aNGC2NhY87UuLi78+OOP7NixA09Pz5s+Y9KkSaxfv56pU6diMBg4cuQItWvXNn/36+/vb06cAerUqWP++dKlSwwbNozOnTtTunTph9EFIiIiIiIihUqB/Sb3uiZNmtywbDkvL4/evXvTt29fAC5fvoy1tTXFixfHaDTyzTffUL9+fUqXLs2ePXv48ccfqVev3k3bL1++PIA5qTUajfnOm0wmcnNzzb/b29ubfzYYDCxcuJBRo0bRvn17ypYt+2BeWkREREREpJAq0DO5111ftnzhwgUA3N3diYqK4sqVK+Tm5jJ06FA2bdoEXFtOvGjRIho2bIi7uzvLly+nTp06d7yZVJ06dfjvf/9rLhO0cuVK3Nzcbnqto6MjjRo1onv37kyePPkBvKmIiIiIiEjhVuBncuF/y5b79esHXNsA6uTJk3Tt2pW8vDyaNm2Kj48PAC1atGDp0qW8/PLLFCtWjJycnFsuVb6Z0qVL89577xEYGEhOTg7lypXj/fffv+09AwcOpGPHjnz77be0atXqjp7z2cb3/vkiERERkSdY5tVsS4cgIk+gAlkntzC4eDEdo1FDZymFtSbZ40RjYFnqf8vTGFiexsDyNAaWpf63vMI6BgWmTm5CQgJeXl58+umneHh4mI+3bNmSZcuWmb+JfVD27t3LggULWL58+QNt90G53aDKo/H0009ZOoRCT2NgWep/y9MYWF5BGIPMq9mqRSsiBcoTk+QC2NraMn78eKKjo3FwKNxJXt+O73Hh/CVLhyEiIiJPuJj9c5TkikiB8kRtPFWmTJkbdkr+qyVLluDj40PHjh2ZMWMGJpOJQYMGsX37dgBmz55N//79Abhw4QIdOnS4o+cmJSUxZMgQfH198fPz4/vvvwcgLCyMfv360a5dO7744guWLl1Kx44d6dy5M6GhocC1nZynTp1qjuuzzz4DICgoiK+++sr8jICAAP773//eU7+IiIiIiIjINU9Ukgv/2yl59+7d+Y7v2LGDY8eOsXr1atauXUtiYiLR0dE0b97cXKf2wIEDnD59mry8PHbu3Enz5s3v6Jnvv/8+fn5+REZGsmjRIkJDQ821dLOzs9mwYQP+/v4sXryYiIgIIiMjycnJITEx0ZzIrlmzhtWrV7NlyxYOHDiAn58fUVFRAPz2228kJyfnq6ErIiIiIiIid++JWq4M/9sp+fqy5etiY2M5cuQIvr6+AGRmZlKuXDl69OjB4MGDzUmpi4sLP/74Izt27CAgIOCOnvn9999z+vRp5s+fD0Bubi7nzp0DoHbt2gBYW1tTr149unTpgpeXF3379qVs2bLExsZy4sQJc6KdkZFBXFwcPXr0YPz48SQkJBAVFUWnTp0eTAeJiIiIiIgUYk9ckgvQpEmTG5Yt5+Xl0bt3b/r27QvA5cuXsba2pnjx4hiNRr755hvq169P6dKl2bNnDz/++CP16tXL1+7x48cpWrQozz//PCaTyVwb12g08vnnn+Po6AhcW+rs7OzMt99+S5EiRcz3f/jhhxw+fJgdO3bQv39/PvjgA/Ly8ggKCuLVV18FIDk5meLFi2MwGOjcuTMxMTFs3LiRTz755GF2mYiIiIiISKHwxC1Xvu76suULFy4A4O7uTlRUFFeuXCE3N5ehQ4eyadMmAJo1a8aiRYto2LAh7u7uLF++nDp16piT2Ou2bt3KqlWrAIiLi6NixYrmtr/44gsAfv75Z7y9vbl69Wq+e5OTk2nXrh0vvfQSI0aMwMPDg7i4ONzd3fnqq6/IycnhypUr9OjRg8OHDwPg6+tLeHg4zz77LGXLln1ofSUiIiIiIlJYPJEzufC/Zcv9+vUDrpUSOnnyJF27diUvL4+mTZvi4+MDQIsWLVi6dCkvv/wyxYoVIycnB09Pzxva7N69OyNHjqR9+/YUK1aMOXPmABASEkJoaCje3t4AzJgx44bdnUuVKoW/vz9dunQxzwb7+flha2tLfHw8Pj4+5Obm4uvri5ubGwDPPvsszz77rDnOu7E0OvSu7xERERH5u8yr2ZYOQUTkgTKYTCaTpYMojEwmExcuXCAgIID169djZ2dn6ZBERETEQlSr9t48/fRT/PlnmqXDKLTU/5ZXWMfAysqAs/OtS8o+sTO5D5uLiwtxcXHs3buXBQsWsHz5cgICAggMDKRYsWKEh4fz/vvv33W7X375JQBOTk5MmDCBCRMm3FOC+y+/KVz4Q3VyRURECoL1u2cqyRUReUCU5N6DWrVqUatWrXu6t3v37uaf27Rp86BCEhEREREREZ7gjacsae/evebyQwEBAcyYMQN/f3/+7//+j+3btwOQlJTEG2+8gbe3Nz4+PuzYsQOAsLAwwsLCyMnJISgoiM6dO9O5c2dzPV0RERERERG5d0pyH4CcnBxWrlzJ2LFjmTdvHgCTJk3C3d2ddevWMX/+fN555x2SkpLM9xw6dIjU1FTWrl3L4sWLOXDggKXCFxERERERKTCU5D4ATZs2BaBq1aqkpKQAsGfPHrp06QJAxYoVqVOnDv/973/N91StWpUzZ87Qr18/vv76a0aPHv3I4xYRERERESlolOQ+APb29gAYDAbzsb9vWm0ymcjLyzP/7uTkRExMDD179uTMmTP4+Phw+fLlRxOwiIiIiIhIAaWNpx4Sd3d3Vq9eTd++fTl37hw//PADEyZMIC4uDoAtW7YQHR3N3Llzadq0KbGxsZw/f54SJUrcUfufRrzzMMMXERGRR0i1akVEHhwluQ/JuHHjCA0NJTIyEoDJkydTpkwZ8/lmzZrxzTff0L59e+zt7enYsSMuLi533P7Fi+kYjSpxbCmFtSbZ40RjYFnqf8vTGFiexkBE5PFkMP19XW0BkpCQgJeXF/7+/rz33nvm4ydOnKBz585MnToVX1/fe24/ODiYhg0b3lcbQL5avCIiIlJwZGZmk5am+rcPi/7QYFnqf8srrGNgZWXA2dnhlucL/Eyuo6MjO3fuJC8vD2trawA2bNhAqVKlLBzZ/flXt+lcSEyxdBgiIiJyG+u/m6okV0TkESvwSW7x4sWpVq0a+/fvx93dHYDdu3fTuHFjAP7zn/8QFRXF1atXsbW1ZdasWbzwwgu0bNmS2rVrc+LECdzd3XF0dOTNN98Ers3gNmvWLN9z5syZQ2xsLKmpqZQpU4Y5c+ZQunRpmjRpQuvWrTl48CDW1tbMnTuXihUrsmvXLqZOnYq9vT3PP//8o+0UERERERGRAqpQ7K7ctm1bNm3aBMCRI0dwcXHB1taW9PR0vv32W5YvX8769etp0aIFK1asMN/XrFkzNm3aRP/+/Vm3bh0mk4mrV6+yZ88evLy8zNfFx8dz+vRpwsPD2bRpE88++yzR0dEA/PnnnzRq1Ii1a9fSoEEDVqxYQXZ2NsHBwcyfP5/IyEiKFCnyaDtERERERESkgCoUSW7Lli3ZsWMHRqORjRs30rZtWwAcHByYNWsWMTExzJo1i++++46MjAzzfXXq1AGu1bktX748+/fvZ9OmTTRv3txcNgigcuXKjBkzhlWrVjFt2jQOHz6cr52/1tFNTU0lLi6OMmXKUKVKFQB8fHweeh+IiIiIiIgUBoUiyb2+ZPngwYPs2bPHvFT5/Pnz+Pv7k5aWRrNmzfDx8clX3/aviayfnx/r169n/fr1N2w0dezYMfr164fRaKR169a0atXqpu0YDAZMJpP5/+uufyssIiIiIiIi96dQJLlwbcnyrFmzcHV1xcbm2qfIxYoVo3LlyvTp04datWrx7bffkpeXd9P727RpQ2xsLElJSeYZ3uv2799Pw4YN6d69O8899xzbtm27ZTsALi4uJCUlcfLkSQBiYmIe0FuKiIiIiIgUbgV+46nrPD09GTduHCNGjDAfs7W1xWg00q5dO0wmEw0aNOCnn3666f1FihShbt26vPTSSzeca9euHYGBgXh7ewPg6upKQkLCLWOxtbVl9uzZBAUFYWNjQ40aNe76fT4NH3PX94iIiMijlZmZbekQREQKnQJdJ/dBMZlMXLlyBX9/fz777DOefvppS4fExYvpGI0aOksprDXJHicaA8tS/1uexsDyNAaWpzGwLPW/5RXWMXii6uQmJCTQpk0b84ZMRqORK1eu0LlzZ4YPH87evXtZsGABy5cvv6f2IyMj2bdvH9OmTbuj68PCwgBo3rw5/fv3Z+jQofkS3Ltt73ZcXFyIi4u74+tvN6jyaDz99FOWDqHQ0xhYVkHs/8zMbNU0FRERecI9VkkuQJkyZYiKijL/npiYSOvWrWnfvr3FYqpduzb79u2z2PNv5l+9PuBCYoqlwxARKVDWb5qsJFdEROQJ99gluX/3559/YjKZKF68OElJSSQnJzNgwAB+/fVXnn/+eebPn4+dnR0REREsXboUg8FAzZo1GT9+PMWLF2ft2rUsWrQIBwcHypcvT7FixYBr9XKnTp1KZmYmTk5OTJw4kYoVK94yjqVLl7JmzRqsrKyoXbs27733Xr7zGzduZOnSpWRmZpKdnc2UKVOoX78+AQEB1KpVi4MHD5KcnExISAjNmzcnISGBoKAgMjIybtjISkRERERERO7NY7e78oULF+jUqRNt2rTBzc2NuXPnsmDBAp555hkAfv/9d0JDQ9m4cSNJSUl8//33xMXF8dFHH7F8+XLWrVtH0aJFWbBgAYmJiXzwwQesWLGClStXcuXKFQCys7MJCQlh1qxZrFmzhr59+zJ+/PhbxpSXl8fixYuJiIggMjKSnJwcEhMTzeeNRiPh4eF89NFHREdH079/f5YsWWI+n5OTw8qVKxk7dizz5s0DYNKkSfj6+hIVFUX9+vUfRleKiIiIiIgUOo/dTO715cpGo5Fp06bxyy+/4OHhYT5frVo184xrlSpVuHTpEgkJCXh6euLk5ASAv78/Y8eOpU6dOtSrV4/SpUsD4O3tzZ49ezh79iznzp1j8ODB5nbT09NvGZO1tTX16tWjS5cueHl50bdvX8qWLWs+b2VlxcKFC9m6dStnzpxh3759WFn97+8HTZs2BaBq1aqkpKQAsG/fPmbNmgVAx44dCQkJuZ9uExERERERER7DmdzrrKysGD16NImJiXzyySfm49dr3AIYDAZMJhNGozHfvSaTidzcXPP5v99rNBqpUKECUVFRREVFERkZyRdffHHbeD788EMmTJiAyWSif//++b7RvXLlCl26dCEhIYEGDRoQEBCQ7157e3tzvH+P8/rxvybFIiIiIiIicm8e68zKxsaG0aNH8+GHH/Lnn3/e8rqGDRuydetW8yzpV199hZubGy+//DKHDx8mMTERo9HIhg0bAHjhhRdITU3lwIEDAERERDBq1Khbtp+cnEy7du146aWXGDFiBB4eHvl2Qj579iwGg4FBgwbh5ubG5s2bycvLu+27NW7cmOjoaAC++eYbsrK00YmIiIiIiMj9euyWK/9ds2bNqFevHvPmzcPb2/um11SrVo033niDgIAAcnJyqFmzJhMnTsTBwYGQkBD69OlD0aJFefHFFwGws7Nj3rx5vP/++2RlZeHg4MD06dNvGUOpUqXw9/enS5cuFC1alOeffx4/Pz++/vpr8/OrV69O27ZtMRgMNGnShIMHD972vUJDQwkKCmLlypW4urpSvHjxu+qXT5fdOikXEZF7k5mZbekQRERE5D4ZTH9dzytPjIsX0zEaNXSWUlgLbz9ONAaWpf63PI2B5WkMLE9jYFnqf8srrGNgZWXA2dnhlucf+5nc6/r27cvrr79Oq1atAJg+fTrh4eHs3bsXOzs7AJo0aUJ4eDgVKlS4ozYDAgIIDAzEzc0t3/F58+bh6uqKl5fXXcc5f/58GjduzCuvvHLX996N2w2qPBpPP/2UpUMo9DQGlvW49H9mZrZq24qIiIjZE5Pkuru7c/DgQXOS+/3331O3bl0OHjxIo0aNiI+Pp1ixYnec4N7OiBEj7vne/fv335A0Pwx9/zWHCxdSHvpzREQedzHrJyrJFREREbMnJslt1KgRU6ZMASAxMRE7Oztat27Nrl27aNSoEQcOHMDDw4OQkBB++uknkpKScHFxYfbs2eTm5vLWW2+RlJQEwNChQ82ztKtXr2batGlcvnyZcePG0bJlS4KDg2nYsCENGzYkMDCQqlWrcuLECZydnZk3bx6Ojo5s2LCB+fPnU6xYMapXr05eXh7u7u4cO3aMkJAQFixYgJ2dHaGhoaSkpFCsWDHGjRtH7dq1CQ4OxsHBgR9//JHExESGDh2Kn5+fxfpWRERERESkoHisd1f+q5o1a/Lrr7+SlZXFrl278PDwwMPDg127dgFw4MABnJ2dsbW1ZeXKlWzevJm0tDS2b9/O5s2bKV++PJGRkbz//vvmXZUBnnrqKdasWUNISAgLFy684bknT56kb9++rF+/nhIlSrBu3TqSk5OZMmUKn3/+OatXryY1NRWAzp074+rqyuTJk3FxcSEoKIiAgADWrVvH2LFjGTFiBNnZ1zY1+eOPP/jiiy9YtGgRM2bMeAQ9KCIiIiIiUvA9MTO51tbW1KlTh6NHj7Jr1y5ef/11KlasSGZmJqmpqRw6dIhx48Zx/vx5VqxYwenTpzl79iwZGRnUq1eP2bNnk5iYSIsWLRg6dKi53evLn1988UUuXbp0w3OdnZ2pUaMGAFWrVjWXHqpXrx5ly5YFriW33377bb77rly5wq+//sqrr74KQN26dSlZsiSnT58GwMPDA4PBwEsvvWQufSQiIiIiIiL354mZyYVr3+X+8MMPHDlyhLp16wLXljFv2bIFJycn9u7dy6hRoyhSpAi+vr40aNAAk8nEc889x8aNG/H29ubAgQN06dIFo9EIXEueAQwGw02faW9vb/7ZYDBgMpmwsrIy338rN9u02mQymevnXm/3Vs8VERERERGRu/dEJbmNGjUiKiqKl156CRuba5PQHh4eLF26FA8PD2JjY2nbti1+fn6UKFGCvXv3kpeXx3/+8x/CwsJo27Yt7777LsnJyaSnp99zHPXr1+fo0aNcuHABk8nEhg0bzMmqtbU1eXl5ODg4UKFCBb755hsADh8+TFJSElWrVr3/jhAREREREZGbemKWKwPmpb09evQwH3N3d2fkyJE0btyY4sWLM2rUKGJiYrC1taV+/fokJCQwYMAA3nrrLby9vbG2tiYoKIgSJUrccxylSpUiJCSEf/3rX9jZ2VGhQgVze02bNuXdd99l+vTpzJw5kwkTJhAWFoatrS1hYWHmckf3a+mnbz6QdkREnnSZmdmWDkFEREQeIwbTzdbVym1dunSJ5cuXExgYiJWVFZMnT6Zy5coEBARYOjQRkQJBtW//2dNPP8Wff6ZZOoxCTWNgeRoDy1L/W15hHQMrKwPOzg63PP9EzeTeTkJCAl5eXvj7+/Pee++Zj584cYLOnTszdepUPv/8c6Kiou77WY6Ojly+fJkOHTpgbW1NzZo16dq16z/e991333H27Fn69u173zH0HjhXdXJFpMDauHaCklwRERG5JwUmyYVryefOnTvJy8szbyi1YcMGSpUqBfBAEly4tllUSEjIXd937NixB/J8ERERERERubkCleQWL16catWqsX//ftzd3QHYvXs3jRs3BsDFxYW4uDjCwsJITEwkPj6e3377jddee43BgwcTGRnJzp07SU1N5dy5c3h4eDBhwgQAlixZwsaNG8nLy6NJkyYEBQVx5coV3nrrLZKSkgAYOnQoXl5enDlzhtDQUFJSUihWrBjjxo2jWLFihIeHA1CuXDmaNGnCO++8Q1paGhcuXMDHx4cRI0Y8+k4TEREREREpQApUkgvQtm1bNm3ahLu7O0eOHMHFxeWm5Xzi4uJYsWIFaWlptGrVitdffx2AQ4cOsX79eqytrWnTpg3du3cnMTGRY8eOsXr1agwGA0FBQURHR2M0GilfvjxLlizhxIkTREdH4+XlRVBQEAMHDuTVV1/l8OHDjBgxgk2bNtGtWzcA/Pz8+OSTT+jQoQM+Pj6kpaXRvHlzAgICzLPOIiIiIiIicvcKXJLbsmVL5s6di9FoZOPGjbRt25YNGzbccJ2bmxt2dnY4Ozvj6OhIWtq1D7br1auHg8O1j5grVqxIamoqsbGxHDlyBF9fXwAyMzMpV64cfn5+zJ49m8TERFq0aMHQoUO5cuUKv/76K6+++ioAdevWpWTJkpw+fTrf8/v168eePXv45JNP+Omnn8jJyeHq1asPs2tEREREREQKvAKX5F5fsnzw4EH27NnD22+/fdMk197e3vyzwWAwz/be7HheXh69e/c2bxh1+fJlrK2tKV68OBs3bmTnzp189913fPrpp6xevfqGZ11v46+mTZvGuXPn6NChA61ateL777+/6YyziIiIiIiI3LkCl+TCtSXLs2bNwtXVFRub+39Fd3d35s+fT9euXbG3t2fo0KH4+PiQkZHBuXPnGDt2LM2aNcPT0xOj0UiFChX45ptvzMuVk5KSqFq1Ktu3bycr69puobt372bixInUr1+fbdu2kZiYiNFovOOYPl8y8r7fS0TkcaXatyIiInKvCmSS6+npybhx4x7YRk4tW7bk5MmTdO3alby8PJo2bYqPj4954ylvb2+sra0JCgqiRIkSzJw5kwkTJhAWFoatrS1hYWHY2dnRoEEDxowZQ+nSpXnjjTcYPXo0RYoU4ZlnnsHV1ZWEhAQqVap0RzFdvJiO0aiZX0sprDXJHicaA8tS/4uIiMjjymAqoGtkExISaNOmDVWqVAGufUdbv3593n77bUqXLn3Le3r16sXWrVsfZagiIk+szMxs1bO1EP2hwfI0BpanMbAs9b/lFdYxsLIy4OzscMvzBXIm97oyZcqYa+OaTCZmz57N8OHD+eKLLywc2f3rNXguiX+mWjoMESnkNq1+V0muiIiIPFasLB3Ao2IwGBg2bBg//fQTJ0+eZMmSJfj4+NCxY0dmzJhxw6ZPp06dIiAgAD8/Pzw9Pfnyyy9JTk6madOm5muaNm1q3tRq8eLF/Pvf/yYxMZF+/frRtWtXWrRowbx58wCIjIwkICAAb29vZs+eTVJSEkOGDMHX1xc/Pz++//77R9cZIiIiIiIiBVSBnsn9Ozs7OypXrszJkydvWvf25ZdfNl+7atUqhgwZQqNGjTh37hwdO3ake/fuPPvss5w6dQpra2vy8vLYt28f7dq1Y+fOnUycOJH169fftP4tQGJiIhs2bMDGxoY333wTPz8/vLy8uHDhAj169GDt2rXm8kUiIiIiIiJy9wpVkgvXZnSXLVtGcnLyDXVv/5rkBgcHs3PnThYvXsypU6fIyMgAoFmzZsTGxmJjY0OvXr2IiYkhLS2NpKQkqlSpQpUqVW5Z/7ZGjRrm3Z6///57Tp8+zfz58wHIzc3l3LlzVK9e/VF2h4iIiIiISIFSqJLc7Oxszpw5g5ubG97e3jfUvb106ZL52pEjR1KiRAk8PT1p164d69evB6BFixYsWLAAOzs7RowYwcaNG1m3bh1NmjQBbl//tkiRIub2jUYjn3/+OY6OjgBcuHABZ2fnR9ENIiIiIiIiBVah+SbXaDQSFhZGnTp18PPzIyoqiitXrpCbm8vQoUPZtGlTvut3797N8OHDadWqFTt27AAgLy+PmjVrcubMGc6ePUuVKlVwc3Nj0aJFeHp6mu/r168fbdu25cyZM7esf+vu7m7eAOvnn3/G29vbPOMrIiIiIiIi96ZAz+ReuHCBTp06AdeS3OrVqzN79mxKlix507q3v/32m/neYcOG0aNHD+zt7alWrRrly5cnISGBypUr8/LLL5sTUnd3d1atWkWDBg0Abln/9u9CQkIIDQ3F29sbgBkzZtzV97jLFo28124REXlgMjOzLR2CiIiISD4Ftk5uQXfxYjpGo4bOUgprTbLHicbAstT/lqcxsDyNgeVpDCxL/W95hXUMnqg6uQkJCbRp04YqVapgMBjIycmhTJkyTJ06lWeeeeaRxxMcHEzDhg3NG1Tdry1btnDs2DFGjBhx323dblDl0Xj66acsHUKhpzF4dDIzs1UPV0RERJ4Ij1WSC1CmTBmioqLMv0+bNo0ZM2Ywe/ZsC0b1YHh5eeHl5fVA2uo5bB6Jf6Y+kLZERP7J5vBQJbkiIiLyRHjskty/c3NzY/bs2Rw5coSpU6eSmZmJk5MTEydOpGLFigQEBFCrVi0OHjxIcnIyISEhNG/enODgYBwcHPjxxx9JTExk6NCh+Pn5ERsby8yZMwEoWbIks2bNYtmyZZhMJt58803g2gxus2bNzDFMnTqVsmXL8q9//Qu49r1ux44dqVy5MpMmTSIjI4Pk5GQGDhxI9+7dCQsLIzExkfj4eH777Tdee+01Bg8eTGRkJPv27WPatGls3LiRpUuXkpmZSXZ2NlOmTKF+/fqPvoNFREREREQKkMd6d+WcnBw2bdqEq6srISEhzJo1izVr1tC3b1/Gjx+f77qVK1cyduxY5s2bZz7+xx9/8MUXX7Bo0SJmzJgBwIcffsiECROIjIykcePGHD9+HD8/P9atW4fJZOLq1avs2bMn34xrp06dzCWE0tPTOXToEM2bN2fVqlUMGTKEiIgIli1bZn4GQFxcHJ988gmrVq1iyZIlXL582XzOaDQSHh7ORx99RHR0NP3792fJkiUPrR9FREREREQKi8duJvevOyJnZ2dTu3Zt/Pz8+Prrrxk8eLD5uvT0dPPPTZs2BaBq1aqkpKSYj3t4eGAwGHjppZfMx728vAgMDKRVq1Z4eXnh4eEBQPny5dm/fz+///47zZs3x97e3txOjRo1yM7OJj4+nkOHDtGyZUvs7OwIDg5m586dLF68mFOnTpGRkWG+x83NDTs7O5ydnXF0dCQt7X8fhFtZWbFw4UK2bt3KmTNn2LdvH1ZWj/XfG0RERERERJ4Ij12S+/dvcgFOnjxJhQoVzMfz8vJISkoyn7+ekBoMhnz33ex4nz598PT05LvvvmPmzJkcOXKEwYMH4+fnx/r16/n9998ZNmzYDXF17NiRDRs2cOjQIQYOHAjAyJEjKVGiBJ6enrRr18482/vXZ19//l83sb5y5QpdunShY8eONGjQABcXF1asWHF3HSUiIiIiIiI3eCKmD1944QVSU1M5cOAAABEREYwaNeqe2nrttde4cuUKffr0oU+fPhw/fhyANm3aEBsbS1JSEnXq1LnhPm9vbzZs2EB8fDwvv/wyALt372b48OG0atWKHTt2ANcS8H9y9uxZDAYDgwYNws3Njc2bN9/RfSIiIiIiInJ7j91M7s3Y2dkxb9483n//fbKysnBwcGD69On31NZbb71FcHAwNjY2FCtWjMmTJwNQpEgR6taty0svvXTT+5599lmcnJyoV6+eeWZ42LBh9OjRA3t7e6pVq0b58uVJSEj4xxiqVatG9erVadu2LQaDgSZNmnDw4MG7eo//hN1/GSIRkTuVmZlt6RBERERE7ojB9Nd1tIWUyWTiypUr+Pv789lnn/H0009bOiQRKWSetDq0hbX4/ONEY2B5GgPL0xhYlvrf8grrGFhZGXB2drjl+SdiJvdhunLlCmPHjmXz5s2ULl2aESNGMGzYMBo1amTp0G6rx8j5JCapTq5IQbHlP+OfqCRXRERE5HFVqJNck8nEoEGDqF69Ov/973+xs7Pj+PHjDBw4kFmzZuHm5mbpEEVEREREROQuFOokd9++ffz+++8sW7bM/J1tjRo1GDx4MB9++CELFiygZMmS/PTTT8ydO5c///yT+fPnk5ubS4UKFZg0aRJOTk7s3buXyZMnY21tTd26dfnll19Yvnw5Z86cITQ0lJSUFIoVK8a4ceOoXbs2wcHBODg48OOPP5KYmMjQoUPx8/OzcG+IiIiIiIg8+Z6I3ZUflqNHj+Lq6npD6aEGDRpw9OhRAFxcXNi0aRNly5Zl1qxZfPLJJ6xdu5YmTZrwwQcfkJOTw+jRo5k5cyZr167FxuZ/fzcICgoiICCAdevWMXbsWEaMGEF29rXNW/744w+++OILFi1axIwZMx7dS4uIiIiIiBRghXom12Aw3LR0T05OjjnxrV27NgD//e9/OX/+PL169QLAaDRSsmRJTp06hbOzM9WqVQOgS5cuvP/++1y5coVff/2VV199FYC6detSsmRJTp8+DYCHhwcGg4GXXnqJlJSUh/2qIiIiIiIihUKhTnLr1KnD8uXLycnJwdbW1nz88OHDuLq6YjQaKVKkCHCt/m39+vX56KOPAMjKyuLKlStcuHABo9F4Q9s327TaZDKZk2p7e3uAG2aRRURERERE5N4V6iT3lVde4cUXX2TKlCm888472NracuzYMRYtWsSsWbNYsGCB+do6deoQEhLCmTNneP755/nwww9JTEzkvffe4/Lly8TFxeHi4sK6desAcHBwoEKFCnzzzTe8+uqrHD58mKSkJKpWrfpAYv9i7vAH0o6IPB5Uh1ZERETkwSjUSS7AggULmDNnDh06dMDa2pqSJUsyc+ZM3Nzc8iW5Tz/9NFOmTGHkyJEYjUbKli3LzJkzsbOzY8aMGYwZMwYrKyuef/558+zvzJkzmTBhAmFhYdja2hIWFoadnd0DifvixXSMxkJf4thiCmtNsseJxkBEREREbsZgutm62ocoISEBLy8vPv30Uzw8PMzHW7ZsybJly6hQocIdtXPu3DkWLVrElClT2Lt3LwsWLGD58uW3vSc7O5uFCxeydetWrKyssLe3Z+TIkTRu3Pie38doNPLBBx/g6+vLwIEDCQgIYOPGjbzxxht4eXndc7si8mTKzMom7XLBr3erPzJYnsbA8jQGlqcxsCz1v+UV1jGwsjLg7Oxwy/MWmcm1tbVl/PjxREdH4+Bw6+Bu5/fff+fcuXN3dc/YsWOxs7Nj9erV2NvbExcXx7/+9S8+//xzXnzxxXuKw8rKCkdHRwYPHkxiYiL79+9n8eLFODk53VN7d6rbqPkkJqU+1GeIyN377rPxpFHwk1wRERGRx5VFktwyZcrQuHFjpk+fzqRJk244/9FHHxEdHY21tTUeHh4EBQVx/vx5+vfvj5OTE0WKFCEpKYmEhAQmTpxImzZtSE5OZsCAAfz66688//zzzJ8/P9/S4Pj4eL755hv27t1r3vTJxcWF2bNnm5cXz5kzh9jYWFJTUylTpgxz5syhdOnSuLu74+rqyp9//snq1av55JNPboivXbt29OrViw8//JDg4GAaNmxIw4YNCQwMpGrVqpw4cQJnZ2fmzZuHo6Mj//nPf4iKiuLq1avY2toya9YsXnjhhUczACIiIiIiIgWUxerkBgcHs2vXLnbv3p3v+Pbt29m6dSsRERGsWbOG+Ph4wsPDAThz5gwzZ85k6dKlhISE4Orqyrvvvgtcm9kNDQ1l48aNJCUl8f333+dr98SJEzz33HMUK1Ys33E3NzcqVKhAfHw8p0+fJjw8nE2bNvHss88SHR0NwKVLlxgwYABRUVF8//33t4zvZk6ePEnfvn1Zv349JUqUYN26daSnp/Ptt9+yfPly1q9fT4sWLVixYsV996mIiIiIiEhhZ7Ek18HBgUmTJjF+/HjS09PNx/fs2UP79u0pWrQoNjY2+Pn5ERsbC4Czs/Mtv9mtVq0aFStWxMrKiipVqnDp0qV8569/g3srlStXZsyYMaxatYpp06Zx+PBhMjIyzOfr1Knzj/HdjLOzMzVq1ACgatWqpKam4uDgwKxZs4iJiWHWrFl89913+Z4lIiIiIiIi98ZiSS5AkyZNzMuWr7tZzdnc3FwA87Lim7Gx+d/Ka4PBcEOdWldXV3755RcyMzPzHf/ss8+IiYnh2LFj9OvXD6PRSOvWrWnVqlW+Nq4/+3bx3cxfE+vrcZ0/fx5/f3/S0tJo1qwZPj4+N62rKyIiIiIiInfHokku/G/Z8oULFwBwd3cnJiaGzMxMcnNziYiIwN3d/Yb7rK2tb5tc/l25cuVo0aIFkyZNIivr2qYwx48f59///jdVq1Zl//79NGzYkO7du/Pcc8+xbds28vLybmjnTuO7naNHj1K5cmX69OlDrVq1+Pbbb2/6LBEREREREbk7Fq+Te33Zcr9+/QDw9PTkxIkT+Pn5kZubS5MmTejZsyd//PFHvvuqVKlCWloaQUFBdOnS5Y6eNWXKFD744AM6deqEnZ0dRYsWZebMmbz00kuULFmSwMBAvL29gWszvwkJCTe0cafx3Y6Hhwdffvkl7dq1w2Qy0aBBA3766ac7vh8g/IPhd3W9iDwamVnZlg5BREREpFB75HVy5cG4eDEdo1FDZymFtSbZ40RjYFnqf8vTGFiexsDyNAaWpf63vMI6Bo9lndxHKT09nVmzZrF//36sra0pUaIEwcHB1KxZ86bXJyQk0KtXL7Zu3frAY3FxcSEuLu6BtHW7QZVH4+mnn7J0CIXe4zgGV7OySb+sOrkiIiIillKgk1yj0ciAAQNwc3Nj7dq12NjYsGfPHgYMGEBMTAxOTk6WDvGe+Y+ezx8XUy0dhoj8zfZPxpOOklwRERERSynQSe7evXs5f/48w4cPx8rq2h5b7u7uTJ06FaPRyEcffUR0dDTW1tZ4eHgQFBSU7/6kpCTGjRvH77//jo2NDW+++SbNmjUjLCyMw4cPc/78eXr27MmLL77InDlzyMzM5PLly4wdO5ZWrVqRkJBAUFAQGRkZ5hJEAFevXiUkJIS4uDgMBgP9+vWjc+fOj7JrRERERERECiSL7678MB0/fpxq1aqZE9zrmjdvzrFjx9i6dSsRERGsWbOG+Ph4wsPD8103adIk3N3dWbduHfPnz+edd94hKSkJgOzsbDZs2ECPHj34z3/+w+TJk1mzZg2TJ09m3rx55vt9fX2Jioqifv365nbDwsJwcnJi/fr1fP7554SFhXHy5MmH3BsiIiIiIiIFX4FOcq2srPLVqf2rPXv20L59e4oWLYqNjQ1+fn7ExsbecM31nZsrVqxInTp1+O9//wtA7dq1zdfNnDmTn376iYULF7J06VKuXLkCwL59+2jbti0AHTt2xNbW9oZ2S5UqhZeXF/v27XuAby4iIiIiIlI4Fegk19XVlePHj/P3DaRnz559Q0IL3FB39+/3mUwmcz3bIkWKmI/36NGDI0eO4OrqyqBBg27ahsFgMM8o365dERERERERuXcFOsl95ZVXcHZ2ZsGCBeYkcufOnURGRtK7d29iYmLIzMwkNzeXiIgI3N3d893v7u7O6tWrATh37hw//PADdevWzXdNSkoKZ8+eZcSIETRr1owtW7aYn9W4cWOio6MB+Oabb8jKyrqh3eTkZLZs2ULDhg0fWj+IiIiIiIgUFgV64ymDwcCHH37I1KlT6dChAzY2Njg5ObFkyRJq1KjB+fPn8fPzIzc3lyZNmtCzZ0/++OMP8/3jxo0jNDSUyMhIACZPnkyZMmXyPcPR0ZEuXbrQvn17bGxscHd3JzMzk4yMDEJDQwkKCmLlypW4urpSvHhxAIYOHcqECRPw9vYmLy+PQYMG3bKk0a2snDH8PntHRB6Gq1nZlg5BREREpFAzmP6+dlZE5DF2vQ5tYS1+/rhQ/1uexsDyNAaWpzGwLPW/5RXWMbCyMuDs7HDL8wV6JvdhcXFxIS4uzqIxvPaO6uRK4bRzserQioiIiMitFehvckVERERERKRwUZJ7nz766CPatWuHt7c306ZNM39ju337duDaTs79+/cH4MKFC3To0AGAOXPm0LVrV1q3bk1AQIC5/q6IiIiIiIjcOyW592H79u1s3bqViIgI1qxZQ3x8POHh4TRv3pw9e/YAcODAAU6fPk1eXh47d+6kefPmxMfHc/r0acLDw9m0aRPPPvuseRdmERERERERuXdKcu/Dnj17aN++PUWLFsXGxgY/Pz9iY2Np0aIFsbGxpKenA9e+4f3xxx/ZsWMHnp6eVK5cmTFjxrBq1SqmTZvG4cOHycjIsPDbiIiIiIiIPPmU5N4Ho9F4w7Hc3FyeffZZjEYj33zzDfXr18fNzY09e/bw448/Uq9ePY4dO0a/fv0wGo20bt2aVq1aoU2uRURERERE7p92V74P7u7uLFq0CH9/f2xsbIiIiMDd3R2AZs2asWjRIsaPH0+ZMmUYMGAADRs2xNramv3799OwYUO6d+/OpUuX2LZtG6+++updPXvVFNXJlcJJdWhFRERE5HaU5N4HT09PTpw4gZ+fH7m5uTRp0oSePXsC0KJFC5YuXcrLL79MsWLFyMnJwdPTE4B27doRGBiIt7c3AK6uriQkJNzVsy9eTMdo1OyvpRTWmmQiIiIiIo87g6mArJPt27cvr7/+Oq1atQJg+vTphIeHs3fvXuzs7ABo0qQJ1atXZ/LkyZQtW/aRxzhgwACLPVvkcXU1K5v0y3df91Z/aLAs9b/laQwsT2NgeRoDy1L/W15hHQMrKwPOzg63PF9gZnLd3d05ePCgOcn9/vvvqVu3LgcPHqRRo0bEx8dTrFgxPv74Y4vF+CCf7Rcynz+SUx9YeyKWsvvD8aRz90muiIiIiMjNFJgkt1GjRkyZMgWAxMRE7OzsaN26Nbt27aJRo0YcOHAADw8PWrZsybJly0hPTyc0NJTc3Fzs7e2ZOnUqzz33HOvWrWPRokUYDAZq1arFpEmTyM3NJSQkhLi4OAwGA/369aNz585ERkayc+dOUlNTOXfuHB4eHkyYMIE//viDUaNGkZGRgZWVFSEhIdStW9f87H379t30PhEREREREbk/BWZ35Zo1a/Lrr7+SlZXFrl278PDwwMPDg127dgGYk9zrPv/8c/r27UtkZCRdu3bl8OHDJCYmMnXqVD799FNiYmLIy8tj+/bthIWF4eTkxPr16/n8888JCwvj5MmTABw6dIj58+cTHR3Nd999R1xcHKtXr6ZFixZERkYyfPhwDh48eEO8N7tPRERERERE7k+BSXKtra2pU6cOR48eZdeuXTRp0oSKFSuSmZlJamoqhw4dMu98DNC8eXMmTZrEO++8w1NPPYW3tzeHDh2ifv36PPPMMwDMnDmTVq1asWfPHrp06QJAqVKl8PLyYt++fQDUq1cPBwcHihYtSsWKFUlNTaVRo0Z8+umnvP3226SkpJg3o/qrm90nIiIiIiIi96fAJLlw7bvcH374gSNHjlC3bl3g2jLmLVu24OTkhIPD/z5ObtOmDWvWrKF27dp89tlnvPvuu9jY2GAwGMzXJCcnk5ycfEMNW5PJRF5eHgD29vbm4waDAZPJxMsvv0xMTAxNmjRhw4YNDBo06IZYb3afiIiIiIiI3J8CleQ2atSIqKgoXnrpJWxsrn1u7OHhwdKlS/MtVQYYOXIkR48epVu3bowYMYLjx49Tq1YtDh8+zJ9//gnAlClT2LJlC+7u7qxevRq4lvhu2bKFhg0b3jKOGTNmEB0djY+PD6GhoRw/fvwhvbGIiIiIiIj8VYHZeArgpZdeIiUlhR49epiPubu7M3LkSBo3bpzv2kGDBjFu3DgWLlyIra0tEyZMoGzZsowbN45+/fphNBqpW7cuvr6+XL16lQkTJuDt7U1eXh6DBg2iZs2at/yONiAggLfffpvIyEisra2ZPn36A3/XiMnDH3ibIpZwNSvb0iGIiIiISAFSYOrkFjYXL6ZjNGroLKWw1iR7nGgMLEv9b3kaA8vTGFiexsCy1P+WV1jHoEDXyZ04cSI//PADOTk5/Prrr1SpUgWAXr164efnZ+HoHq7bDao8Gk8//ZSlQ3iiXc3KJv2y6uOKiIiIyIP1RCe57777LgAJCQn06tWLqKgoC0f06Pi+O58/krUjszy5vg8bTzpKckVERETkwXqik9ybiY+PZ8KECaSkpFCkSBHGjx9PjRo1CA4OxsHBgR9//JHExESGDh2Kn58fYWFhJCYmEh8fz2+//cZrr73G4MGDycvLY8aMGezbt4+8vDx8fX3p06cPf/zxB6NGjSIjIwMrKytCQkKoW7cu06dPZ/fu3VhZWdGqVSsCAwO5cuUK7733Hj/99BN5eXkMGDCADh063LJtERERERERuT8FLskdM2YMoaGh1KhRg59//pmhQ4eyadMmAP744w+++OILTp06lW9Jc1xcHCtWrCAtLY1WrVrx+uuvExMTA8CaNWvIzs6mX79+uLq6smfPHlq0aEH//v3ZsWMHBw8e5Omnn2bHjh3ExMRw9epVxo4dS1ZWFosWLaJmzZpMnz6d9PR0unXrRp06ddi1a9dN237llVcs02kiIiIiIiIFRIFKcq9cucKxY8cYO3as+VhGRgaXLl0CrpUTMhgM5l2Yr3Nzc8POzg5nZ2ccHR1JS0sjNjaWEydOsGfPHnM7cXFxNGrUiGHDhnHixAmaN29Oz549sba2xt7enm7duuHp6cmoUaOwt7fn+++/JzMzk4iICHMbP/300y3bVpIrIiIiIiJyfwpUkms0GrGzs8v3be4ff/yBo6MjAPb29gAYDIZ8910/fv2cyWQiLy+PoKAgXn31VeBafdzixYtjb29PTEwM27ZtY8OGDaxZs4alS5eyatUq9u3bx44dO+jWrRvLly/HaDQyc+ZMatasCUBSUhIlS5YkIiLipm2LiIiIiIjI/bGydAAP0lNPPcVzzz1nTnJ3797N66+/fk9tubu789VXX5GTk8OVK1fo0aMHhw8fZsaMGURHR+Pj40NoaCjHjx/n+PHj9OzZkwYNGjBmzBiqVKnCmTNncHd358svvwTgwoULdOzYkfPnz9+ybREREREREbk/BWomF2DmzJlMmDCBf//739ja2jJnzpwbZm7vRLdu3YiPj8fHx4fc3Fx8fX1xc3OjUqVKvP3220RGRmJtbc306dOpUaMGdevWpUOHDhQtWpT69evTrFkzGjZsyIQJE8ybTQUFBVGpUqVbtn03IicOv+t3EnmcXM3KtnQIIiIiIlIAGUwmk8nSQcjdu3gxHaNRQ2cphbXw9uNEY2BZ6n/L0xhYnsbA8jQGlqX+t7zCOgZWVgacnR1ueb7AzeTCtbq5Xl5efPrpp3h4eJiPt2zZkmXLllGhQoWb3tOrVy+2bt36QGMJDg6mYcOG+Pr6PtB2bzeo8mg8/fRTlg7hsXY1K5v0y6qDKyIiIiKPVoFMcgFsbW0ZP3480dHRODgUvITQ5735nL+UaukwRG5pz5zxpKMkV0REREQerQK18dRflSlThsaNGzN9+vQbzi1ZsgQfHx86duzIjBkzuL5iOysrixEjRtCxY0cCAwNJTb2WRLZs2ZKRI0fSunVrLl68yJw5c+jatSutW7cmICCApKQkcnJyCAoKonPnznTu3Jmvvvoq3zOvXr1K9+7dWbFiBcBN2xAREREREZH7U2CTXLi2VHjXrl3s3r3bfGznzp0cO3aM1atXs3btWhITE4mOjgbg4sWLBAQEEB0dTcWKFVm4cKH5vmbNmrFp0ybS09M5ffo04eHhbNq0iWeffZbo6GgOHTpEamoqa9euZfHixRw4cMB8b05ODoGBgbRu3ZrXX3+d+Pj4m7YhIiIiIiIi96fALlcGcHBwYNKkSeZlywCxsbEcOXLE/I1sZmYm5cqV4+WXX+b555/nlVdeAaBTp04EBweb26pTpw4AlStXZsyYMaxatYozZ85w+PBhKlWqRNWqVTlz5gz9+vWjWbNmjB492nzvvHnzsLKyYsGCBbdtQ0RERERERO5PgU5yAZo0aZJv2XJeXh69e/emb9++AFy+fBlra2suXbqEjc3/usNkMuX73d7eHoBjx47x9ttv06dPH1q3bo2VlRUmkwknJydiYmLYvXs327dvx8fHh5iYGADat29PRkYG8+fPZ8yYMbdsQ0RERERERO5PgV6ufN31ZcsXLlzA3d2dqKgorly5Qm5uLkOHDmXTpk0A/PLLLxw/fhyAiIgIGjdufENb+/fvp2HDhnTv3p3nnnuObdu2kZeXx5YtWwgKCqJFixaEhIRQrFgxzp8/D0D16tUJCgpi3bp1nDhx4pZtiIiIiIiIyP0p8DO58L9ly/369cPT05O0tDS6du1KXl4eTZs2xcfHh99++41KlSqxcOFCfv31V1566SXefPPNG9pq164dgYGBeHt7A+Dq6kpCQgJDhw7lm2++oX379tjb29OxY0dcXFzM9zk6OvL2228TEhLChx9+eNM27saa0OH30SMiD9/VrGxLhyAiIiIihZDBpHWyInKPLFkLt7AWP39cqP8tT2NgeRoDy9MYWJb63/IK6xhYWRlwdr51mdjHaia3b9++vP7667Rq1QqA6dOnEx4ezt69e7GzswOufWMbHh5OhQoV7rjd7777jrNnz5q/wwVIT0+nadOmfP3115QtW9Z8fN++fUydOpXAwECOHTvGiBEj7vg5nTp1Iioq6pbnt2zZctdt3vJZ76tOrljevg9UC1dEREREHi+P1Te57u7uHDx40Pz7999/T926dc3H4uPjKVas2F0luHBts6j09PR8xxwcHPi///s/8+ZQ161du5YuXbrg5eV118no7RJc4J7aFBERERERkTv3WCW5jRo14tChQwAkJiZiZ2dH69at2bVrFwAHDhzAw8MDuJaM+vj40KlTJ9555x2ysrLIyckhKCiIzp0707lzZ7766it+/vlnwsPDCQ8PJyIiIt/zfH19Wb9+vfn3rKwstm3bRocOHYiMjDSXEGrZsiUjR46kdevWXLx4kWXLlvHqq6/i5+dHUFAQYWFhAOZvcMPCwggJCSEgIICWLVuyaNEigHxtbty4ka5du9KxY0fatGnDDz/88LC6VUREREREpNB4rJLcmjVr8uuvv5KVlcWuXbvw8PDAw8PjhiT3p59+4quvviI8PJyoqCicnZ355JNPOHToEKmpqaxdu5bFixdz4MABXnzxRbp160a3bt3w8/PL9zw3NzcuX77M6dOnAfj2229p1KgRJUuWvCG2Zs2asWnTJv78809WrFhBZGQkX3zxBfHx8Td9l7i4OD755BNWrVrFkiVLuHz5svmc0WgkPDycjz76iOjoaPr378+SJUseVDeKiIiIiIgUWo9VkmttbU2dOnU4evQou3btokmTJlSsWJHMzExSU1M5dOgQ7u7u7N27l/j4eLp27UqnTp3YsmULp0+fpmrVqpw5c4Z+/frx9ddfM3r06Ns+z2Aw0LlzZ/NsblRU1A2J8HV16tQBIDY2Fk9PTxwcHLC3t6d9+/Y3vd7NzQ07OzucnZ1xdHQkLe1/H4RbWVmxcOFCdu3axbx581izZg1Xrly5ly4TERERERGRv3iskly49l3uDz/8wJEjR6hbty5wbRnzli1bcHJywsHBgby8PNq2bUtUVBRRUVGsWrWK0NBQnJyciImJoWfPnpw5cwYfH598M6g34+vry4YNG0hKSuLs2bM0atToptfZ29sD1xJUo9H4j+9x/Xq4lkz/dRPrK1eu0KVLFxISEmjQoAEBAQH/2J6IiIiIiIj8s8dqd2W4ltC++eabvPTSS9jYXAvPw8OD+fPn07p1a+DaLOmnn37K4MGDKVWqFBMmTKBSpUrUqFGD6Oho5s6dS9OmTYmNjeX8+fNYW1uTlXXzHWDLlSvHs88+y/z58+nYsSMGg+Ef4xs2bBjDhw/Hzs6Ob7755paJ8a2cPXsWg8HAoEGDMJlMjB49mry8vLtqI2qc6uSK5akWroiIiIg8bh67JPell14iJSWFHj16mI+5u7szcuRIGjduDEC1atUIDAykd+/eGI1GqlevzsCBA7GysuKbb76hffv22Nvb07FjR1xcXLh8+TJjxoyhdOnSN5019fPzY/To0WzevPmO4uvVqxf+/v4UK1YMJyenfLO2d6JatWpUr16dtm3bYjAYaNKkSb5dpe/ExYvpGI0qcWwphbUmmYiIiIjI485g+us62kIuISGBNm3aUKVKlXzHHR0d6dSpE76+vpw5c4bt27fTp08fAAYPHsxrr71Gy5YtzdcfPXqU8PBw3n///Rva79WrF1u3bn3o7yLyKFzNyib9smXq5OoPDZal/rc8jYHlaQwsT2NgWep/yyusY2BlZcDZ2eGW5x+7mVxLK1OmzA31bq+X/QEoX748R48epUOHDuZZWE9Pz3zX16pVi1q1aj3UODtOm8f5S6kP9Rki/2T/9FDSsUySKyIiIiJyM0py79K6deuIi4vDYDBQs2ZNAgMDMRgMuLu74+rqyp9//sno0aP56KOPWL58OcePH2fcuHHAtWXK1506dYpJkyaRkZFBcnIyAwcOpHv37pZ6LRERERERkQLhsdtd2dIuXLhAp06dzP/+/e9/m8/FxcWZk9d169ZRtGhRFixYAMClS5cYMGAAUVFR5g2zAMaMGcOoUaNYs2YNFSpUMB9ftWoVQ4YMISIigmXLljFjxoxH95IiIiIiIiIFlGZy/+Z2y5X379+Pp6cnTk5OAPj7+zN27Fjzdddr6V6XnJzMhQsX8PDwAK6VK4qIiDC3uXPnThYvXsypU6fIyMh4aO8kIiIiIiJSWGgm9y78vT6uyWQiNzfX/HuRIkXynf97fVxra2vzzyNHjmTz5s1UqVKFkSNHPpyARUREREREChkluXehYcOGbN26lZSUFAC++uor3Nzcbnm9k5MT5cqVY9u2bQCsX7/efG737t0MHz6cVq1asWPHDoC7rpUrIiIiIiIi+Wm58l2oVq0ab7zxBgEBAeTk5FCzZk0mTpx423tmzpzJ2LFjmTt3LnXr1jUfHzZsGD169MDe3p5q1apRvnx5EhISqFy58h3FEh084n5eReSBuJqVbekQRERERETyUZ3cJ9TFi+kYjRo6SymsNckeJxoDy1L/W57GwPI0BpanMbAs9b/lFdYxKPR1chMSEvDy8sLf35/33nvPfPzEiRN07tyZqVOn8vnnn9+w2dRfubi4EBcXd8PxAQMGMHnyZMqWLftQYr+d2w2qPBpPP/2UpUOwmKtZ2aRfVn1cEREREXn8FPgkF8DR0ZGdO3eSl5dn3vxpw4YNlCpVCuC2Ce7tfPzxxw8sxrvVYeY8zqekWuz5UrgdfD+UdJTkioiIiMjjp1BsPFW8eHGqV6/O/v37zcd2795N48aNgWsztQApKSkMHTqUtm3b0qlTJ2JjY83Xh4aG0rFjRzp27Eh8fDwALVu2JCEhgZycHN555x1at25Nr1696N27N3v37iU3N5eQkBD8/f3x8vJiyJAhZGZmkpCQQOfOnQkKCqJDhw707t3bvJmViIiIiIiI3LtCkeQCtG3blk2bNgFw5MgRXFxcsLW1zXfNvHnzqFSpEhs3bmTGjBnMnTvXfK5x48ZER0fj4eFBeHh4vvvCw8O5evUqX3/9NVOnTuXo0aMAHDp0CFtbW1auXMnmzZtJS0tj+/btAJw8eZK+ffuyfv16SpQowbp16x7i24uIiIiIiBQOhSbJbdmyJTt27MBoNLJx40batm17wzX79++nU6dOwLXZ3ZUrV5rPtWrVCoAXX3zxhlnX3bt34+3tjcFgoHz58jRq1AiABg0a0KNHD1asWMH777/P2bNnycjIAMDZ2ZkaNWoAULVqVVJTtfRYRERERETkfhWaJLd48eJUq1aNgwcPsmfPHvNS5b+ysbHBYDCYf//ll18wGo3mcwAGg4G/b0htbW1tvu6vtmzZwqhRoyhSpAi+vr40aNDAfK+9vb35upu1KSIiIiIiInev0CS5cG3J8qxZs3B1dTUnrX/1yiuvEBMTA1xLcAcMGJAv6b2Vxo0bs2HDBkwmE4mJiezbtw+DwUBsbCxt27bFz8+PEiVKsHfvXvLy8h74e4mIiIiIiMg1hWJ35es8PT0ZN24cI0aMuOn54cOHExISQseOHbGxsWHGjBl3lOR27dqVkydP4u3tzdNPP025cuUoUqQIr732GqNGjSImJgZbW1vq169PQkLCA3mX9UE3fweRR+FqVralQxARERERuSmDSetk79u2bdswmUx4enqSlpZG586diYiIwNHR0dKhidzWk1zvtrAWP39cqP8tT2NgeRoDy9MYWJb63/IK6xhYWRlwdna45flCNZN7tyZOnMgPP/xATk4Ov/76K1WqVAGgV69e+Pn5ma+rUqUKo0ePNu/GPHz48Iee4LabPVd1cuW+HXrvXdW7FREREZECRUnubbz77rsAJCQk0KtXL6Kiom56XcWKFfnyyy8fZWgiIiIiIiJyE4Vq46kHIT4+nr59++Lj40P37t05fvw4eXl5dOnShVWrVgEwfvx4ZsyYAcCcOXPo2rUrrVu3JiAggKSkJHJycggKCqJz58507tyZr776ypKvJCIiIiIiUmBoJvcujRkzhtDQUGrUqMHPP//M0KFD2bRpE9OnT6dPnz4ULVqUI0eOsGrVKuLj4zl9+jTh4eFYWVkxevRooqOjcXV1JTU1lbVr15KYmMisWbPo2rWrpV9NRERERETkiack9y5cuXKFY8eOMXbsWPOxjIwMLl26RJUqVQgICGD06NGsWbMGOzs7KleuzJgxY1i1ahVnzpzh8OHDVKpUiapVq3LmzBn69etHs2bNGD16tAXfSkREREREpOBQknsXjEYjdnZ2+b7N/eOPP8ybTJ05cwZHR0dOnDiBi4sLx44d4+2336ZPnz60bt0aKysrTCYTTk5OxMTEsHv3brZv346Pjw8xMTGUKFHCQm8mIiIiIiJSMNxxkvv1119z4sQJBg0axJYtW+jQocPDjOux9NRTT/Hcc88RFRVFp06d2L17N6GhoXz77bds27aNkydPEh4eTs+ePWnUqBH79++nYcOGdO/enUuXLrFt2zZeffVVtmzZQnR0NHPnzqVp06bExsZy/vz5u0pyN7w18uG9qBQaqncrIiIiIgXNHSW5S5YsYffu3fzxxx/06dOHBQsWEB8fz9ChQx92fI+dmTNnMmHCBP79739ja2vLnDlzSEtLY8KECSxYsIBKlSrRu3dvxo8fz6RJkwgMDMTb2xsAV1dXEhISGDp0KN988w3t27fH3t6ejh074uLicldxXLyYjtGoEseWUlhrkomIiIiIPO4MJpPpHzOlTp06sWrVKrp27cratWu5fPky/v7+bNy48VHE+Fi6cuUKH3zwAbt27aJo0aI4ODgwbNgwGjVqREBAAIGBgbi5ueW7Z968ebi6uuLl5WWhqOVJcjU7m/RU1bC9Ff2hwbLU/5anMbA8jYHlaQwsS/1veYV1DKysDDg7O9zy/B3N5NrY2GBnZ2f+vUSJEtjYFN7PeU0mE4MGDaJ69erExMRgZ2fH8ePHGThwILNmzbrlfSNGjHhgMbSbO5ffU1MfWHvy+Dn87rukoyRXRERERORu3FGd3GeffZZt27ZhMBjIzs5m0aJFlC9f/mHH9tjat28fv//+O2PHjjUn/zVq1GDw4MF8+OGHAKxevRofHx+8vLzYunUrAMHBwURGRgIQERFBhw4d8Pb2Jjg4mCtXrljmZURERERERAqQO0pyx48fz9KlS4mLi6Nu3brs2LGD0NDQhx3bY+vo0aO4urpiMBjyHW/QoAFHjx4Frm1StWbNGkJCQli4cGG+6+Li4vjoo49Yvnw569ato2jRoixYsOCRxS8iIiIiIlJQ3fGa488//5yrV6+Sl5eHg4MDP//888OM67FmMBjIy8u74XhOTo458W3VqhUAL774IpcuXcp33f79+/H09MTJyQkAf3//fLV3RURERERE5N7cdiY3JSWFlJQUBgwYQGpqKllZWeTl5ZGUlERgYOCjivGxU6dOHY4dO0ZOTk6+44cPH8bV1RUAa2trgBtme+Favd2/MplM5ObmPqRoRURERERECo/bJrlvv/027u7unDp1Cjc3N9zd3XFzc6NFixbUrFnzUcX42HnllVd48cUXmTJlijnRPXbsGIsWLWLIkCH/eH/Dhg3ZunUrKSkpAHz11Vc37MQsIiIiIiIid++2y5U/+eQTAMaOHcvUqVMfSUBPigULFjBnzhw6dOiAtbU1JUuWZObMmbi5uf3j97XVqlXjjTfeICAggJycHGrWrMnEiRPv6vkbRo68j+jlSXA1O9vSIYiIiIiIPHHuqE4uXFu6fPXqVUwmE3l5efz66694eHg87PjkFi5eTMdovKOhk4egsNYke5xoDCxL/W95GgPL0xhYnsbAstT/lldYx+CB1MmdP38+ixcvBq59a5qTk8OLL77IunXrHkyUFpCQkICXlxeffvppvmS9ZcuWLFu2jAoVKjzwZz7Itm83qPJoPP30Uw+l3avZ2aSnqj6uiIiIiMi9uKMkd+3atXz33XdMmzaN0aNHs2fPHrZv3/6wY3vobG1tGT9+PNHR0Tg4PFlJY9sFc/k9NcXSYchD8N9xE0hHSa6IiIiIyL24ozq5pUqVokyZMrzwwgucPHmSzp07c+rUqYcd20NXpkwZGjduzPTp0284t2TJEnx8fOjYsSMzZszAZDIxdepUPv30U/M1w4YNY/PmzZw6dYqAgAD8/Pzw9PTkyy+/BDDvTO3t7c3IkSPJyrqWuKSnpzN8+HD8/f3x9PTknXfe4Q5XjYuIiIiIiMht3FGSa2Njw6+//soLL7zAgQMHyM3NNSdsT7rg4GB27drF7t27zcd27tzJsWPHWL16NWvXriUxMZHo6Gg6derE+vXrgWuJ6qFDh2jevDmrVq1iyJAhREREsGzZMmbMmAFcW+Zdo0YN1q1bx+uvv05SUhIA27Zto3r16qxcuZJNmzaxf/9+fvzxx0f/8iIiIiIiIgXMHS1XfuONNxg/fjyLFi1i3rx5rF27lhYtWjzk0B4NBwcHJk2aZF62DBAbG8uRI0fw9fUFIDMzk3LlytGpUyeys7OJj4/n0KFDtGzZEjs7O4KDg9m5cyeLFy/m1KlTZGRkALBv3z5mzZoFQIMGDahYsSIAHTp04MiRI3z22WecPn2alJQU8z0iIiIiIiJy7+4oya1Rowaff/45cO373Pj4eKys7mgS+InQpEmTfMuW8/Ly6N27N3379gXg8uXLWFtbA9CxY0c2bNjAoUOHGDhwIAAjR46kRIkSeHp60q5dO/Nsr8FgyLcM+Xoby5cvZ9OmTXTt2pXGjRtz6tQpLVcWERERERF5AG6bqaakpJi/K01NTSUlJYWsrCxKly7N8OHDH1WMj8T1ZcsXLlzA3d2dqKgorly5Qm5uLkOHDmXTpk0AeHt7s2HDBuLj43n55ZcB2L17N8OHD6dVq1bs2LEDuJYoN2rUiKioKACOHDnCr7/+ar7e39+fjh07kpWVxcmTJzEajRZ4axERERERkYLltjO5b7/9tvlbVTc3N+Da7KS1tTWtW7d++NE9QteXLffr1w9PT0/S0tLo2rUreXl5NG3aFB8fHwCeffZZnJycqFevHgaDAbi2AVWPHj2wt7enWrVqlC9fnoSEBIYPH05wcDDt27fnhRdeMC9X7t27NxMmTGDJkiU4ODhQr149EhIS7irejYEjH+j7y+Pjana2pUMQEREREXliGUx3sE527NixDBkyhIoVK/Ldd9/x448/0rt3b5566uHUCRV50qi27aNXWIufPy7U/5anMbA8jYHlaQwsS/1veYV1DKysDDg737oE7B19k2tjY8PHH39M7969CQ0NpUmTJrzzzjuEhYU9sEATEhLw8vLi008/xcPDw3y8ZcuWLFu2jAoVKtxRO+fOnWPRokVMmTKFvXv3smDBApYvX37be1xcXKhWrRoA2dnZVKlShaCgICpXrvyP98XFxd11XA9C20Vz+f1yygNpS+7ff8eotq2IiIiIyOPgjnaP+vHHH5kwYQKbN2+mc+fOTJ06ld9+++2BB2Nra8v48eNJT0+/5zZ+//13zp07d9f3RUVFERUVxcaNG/Hw8KBfv35kP8Blo/cal4iIiIiIiNy5O0pyTSYTVlZW7N69G3d3d+BaWZ0HrUyZMvl2Of67jz76iHbt2uHt7c20adPIy8sjISGBNm3a0L17d/r27cvkyZM5duwYEydOBCA5OZkBAwbQunVrBg0adEeJa/fu3bG3t2fnzp0AzJkzh65du9K6dWsCAgLM9W6v++GHH3j11VeJj4/n6tWrvP3223To0AFvb2/Wrl0LkC+u3NxcQkJC8Pf3x8vLiyFDhjyU/hQRERERESls7ijJrVSpEgMGDCAhIYGGDRvy9ttvm5f3PmjXdzm+vuHVddu3b2fr1q1ERESwZs0a4uPjCQ8PB+DMmTPMnDmTpUuXEhISgqurK++++y5wbQY1NDSUjRs3kpSUxPfff39Hcbz44oucPn2a+Ph4Tp8+TXh4OJs2beLZZ58119MFOHnyJOPGjeOjjz6icuXKhIWF4eTkxPr16/n8888JCwvj5MmT+eI6dOgQtra2rFy5ks2bN5OWlsb27dsfUA+KiIiIiIgUXnf0Te7UqVPZvHkzL7/8Mra2trzyyit07tz5oQR0fZfj8ePH50sm9+zZQ/v27SlatCgAfn5+rF27lubNm+Ps7HzLb3arVatm3tW4SpUqXLp06Y7iMBgMFClShMqVKzNmzBhWrVrFmTNnOHz4MJUqVTJf169fP9q0acMLL7xgjvP6d7elSpXCy8uLffv24eLiYr6nQYMGODo6smLFCk6fPs3Zs2fJyMi4i14SERERERGRm7mjmdxixYrRqVMncyLZvXt3c7L5MDRp0uSGZcs3qyObm5sLQJEiRW7Zlo3N//J4g8HAHWwmDUBcXBwvvvgix44do1+/fhiNRlq3bk2rVq3ytfHBBx/wzTffcPLkSYAb2jeZTOTl5eU7tmXLFkaNGkWRIkXw9fWlQYMGdxyXiIiIiIiI3NodzeRaQnBwMN7e3vz5558AuLu7s2jRIvz9/bGxsSEiIsL8ffBfWVtbm5Pfe/XFF19gMBhwc3Pj888/p2HDhnTv3p1Lly6xbds2Xn31VfO1jRo14u233yYkJISvvvoKd3d3Vq9eTUhICMnJyWzZsoWwsDCuXr1qjis2Npa2bdvi5+fHuXPn2Lt3L40aNbqrGDcOHnlf7ygPlmrbioiIiIg8Hh7bJPf6suV+/foB4OnpyYkTJ/Dz8yM3N5cmTZrQs2dP/vjjj3z3ValShbS0NIKCgujSpcsdP69Tp07AtRnjihUr8vHHH2NlZUW7du0IDAzE29sbAFdXVxISEvLd27lzZyIjI1m+fDlDhw5lwoQJeHt7k5eXx6BBg6hZsyaXLl0yx9W/f39GjRpFTEwMtra21K9f/4Y2/8nFi+kYjZr9tZTCWpNMRERERORxZzAV4nWy3bt3p2fPnrRv3958LCMjg3r16tGsWTM+/vjjO25r3LhxdOvWjVq1at30fGJiIiEhIXfVpjy+snJzuHxJO2Jbkv7QYFnqf8vTGFiexsDyNAaWpf63vMI6BlZWBpydHW55/rGdyX0U/Pz8WLduXb4k95tvvqF169bMnz//rtp6//33b3u+bNmyDzTBbfvxHH6/nPLA2pO789+3JwJKckVEREREHjeFOslt27YtM2bMICUlBUdHRwCio6Np1aoVLVu2ZOvWrQQHB5OSkkJ8fDxBQUEUL16cyZMnY21tTd26dfnll19Yvnw5AQEBBAYGArB48WKKFCnCL7/8gouLCx988AEXLlygV69ebN26lVOnTjFp0iQyMjJITk5m4MCBdO/e3YI9ISIiIiIiUjDc0e7KBVXx4sXx8vLi66+/Bq4tKT5z5gxNmjTJd52joyMbN26kadOmjB49mpkzZ7J27dp8Ozf/1aFDh8y1eX///Xd27dqV7/yqVasYMmQIERERLFu2jBkzZjycFxQRERERESlkCnWSC+Dr68v69esBWLduHR07dsTKKn+31K5dG4BTp07h7OxMtWrVAG65sVXVqlV55plnsLKyokqVKqSmpuY7HxwcTFZWFosXL2bu3LmqkSsiIiIiIvKAFPokt0GDBvz555+cP3+e6Oho/Pz8brjmeh1ea2vrm9br/Tt7e3vzzzerzTty5Eg2b95MlSpVGDly5P29gIiIiIiIiJgV+iQXrpUAWrRoESVLlqRSpUq3vO6FF17g8uXLxMXFAddmfu/F7t27GT58OK1atWLHjh0A5OXl3VNbIiIiIiIi8j+FeuOp63x9fWnZsuU/7pBsZ2fHjBkzGDNmDFZWVjz//PPmWd67MWzYMHr06IG9vT3VqlWjfPnyJCQkULly5TtuY+OAN+/6ufLgZOXmWDoEERERERG5iUJdJ/duGY1GPvjgAwIDAylWrBhLly4lMTGR4ODgRx7LxYvpGI0aOksprDXJHicaA8tS/1uexsDyNAaWpzGwLPW/5RXWMSiUdXL37t3LggULWL58+X2106lTJ6Kiosy/W1lZ4ejoaN5wKiUlhZiYmPt6xr263aDKw3M1O5v01CxLhyEiIiIiIrdQIJPcB+WvCe51AwcOZODAgRaIJr92n87h97QUS4dR6BweMZF0lOSKiIiIiDyuCtXGUx999BHt2rXD29ubadOmkZeXR0JCAi1btjRfExYWRlhYGAAuLi4AxMbG4uvri6+vL3379iU5OTnffadOnSIgIAA/Pz88PT358ssvzW2FhIQQEBBAy5YtWbRoEQDp6ekMHz4cf39/PD09eeedd27YgVlERERERETuXqFJcrdv387WrVuJiIhgzZo1xMfHEx4efkf3fvjhh0yYMIHIyEgaN27M8ePH851ftWoVQ4YMISIigmXLljFjxgzzubi4OD755BNWrVrFkiVLuHz5Mtu2baN69eqsXLmSTZs2sX//fn788ccH+r4iIiIiIiKFUaFZrrxnzx7at29P0aJFAfDz82Pt2rU0b978H+/18vIiMDCQVq1a4eXlhYeHBwkJCebzwcHB7Ny5k8WLF3Pq1CkyMjLM59zc3LCzs8PZ2RlHR0fS0tLo0KEDR44c4bPPPuP06dOkpKTku0dERERERETuTaGZyTUajTccy83NxWAw5FsqnJube8N1ffr0Yfny5VSqVImZM2ealx1fN3LkSDZv3kyVKlUYOXJkvnP29vbmn68/a/ny5cyYMYNSpUrRs2dPqlSpouXKIiIiIiIiD0ChSXLd3d2JiYkhMzOT3NxcIiIicHd3p0SJEqSkpJCcnEx2djY7d+684d7XXnuNK1eu0KdPH/r06XPDcuXdu3czfPhwWrVqxY4dOwDIy8u7ZSy7d+/G39+fjh07kpWVxcmTJ2+ahIuIiIiIiMjdKbDLlQ8cOEC9evXMv3t7e9OiRQv8/PzIzc2lSZMm9OzZExsbG/r370+XLl145plnqFWr1g1tvfXWWwQHB2NjY0OxYsWYPHlyvvPDhg2jR48e2NvbU61aNcqXL59vOfPf9e7dmwkTJrBkyRIcHByoV6/eba+/mQ3/evOurpcH42p2tqVDEBERERGR2zCYtE72iXTxYjpGo4bOUgpr4e3HicbAstT/lqcxsDyNgeVpDCxL/W95hXUMrKwMODs73PL8I53J/frrr1myZAm5ubmYTCY6depE//7976mt7777jrNnz9K3b19zyZ9hw4bd9p4LFy4wY8YMTpw4gbW1Nc8++ywhISFUrFjxnmL4q8jISPbt28e0adMYMGAAkydPpmzZsvfd7q3cblDlwbuanU16qurjioiIiIg87h5ZkpuYmMj06dOJjIzEycmJK1euEBAQwPPPP4+Xl9ddt3fs2LG7uj4jI4OAgAD+9a9/MXPmTAwGA9HR0fTt25eNGzdia2t71zHcyscff/zA2rqV9stncz4t5aE/R675Ych7pKMkV0RERETkcffIktxLly6Rk5NDZmYmAMWLF2fatGnm3YcPHz7M+++/T1ZWFk5OTrz33ntUrlyZgIAAAgMDcXNzIyEhgV69erFkyRJzjdty5coBcOTIEbp160ZiYiK+vr43zOrGxMRQqlQp/P39zcc6duyInZ0d2dnZZGVl8c4775CYmMiFCxdo1KgR77//Pvv27WPmzJkYjUaqVq3KhAkTCAkJIS4uDoPBQL9+/ejcuXO+Z7Vs2ZJly5axb98+du7cSWpqKufOncPDw4MJEyaQm5vLhAkT+Omnn0hKSsLFxYXZs2dTpEiRh9X9IiIiIiIihcIjS3KrVauGl5cXrVq1onr16ri5ueHt7U3lypXJzs7mrbfeYu7cudSuXZuNGzfy1ltvERERcdO2XnzxRbp16wZcq3cbFhbGxYsXCQ8PJz09nZYtW9K3b18cHP63pPfEiRPUrFnzhrbatGkDwPr166levTrz588nOzub9u3b8+OPPwJw9uxZvvvuO5566ilmzJiBk5MT69evJzk5mddee41q1ard8r0PHTrE+vXrsba2pk2bNnTv3p3Lly9ja2vLypUrMRqN9O7dm+3bt9O6det77l8RERERERF5xN/kTpw4kSFDhrBr1y527dpF165d+eCDD3juuecoUaIEtWvXBqBt27aEhoaSlnbnH1E3bdoUOzs7SpUqhZOTE6mpqfmSXCsrK+zs7G55f4cOHThy5AifffYZp0+fJiUlhYyMDACef/55nnrqKQD27NnDlClTAChVqhReXl7s27cv37P+ql69euZzFStWJDU1lYYNG+Lo6MiKFSs4ffo0Z8+eNT9LRERERERE7t0jq5O7bds2NmzYQNmyZfHz82POnDmEhISwevXqm9aINZlM5lqz1zeAzs3NvWX7Njb/y9cNBgN/3zTa1dX1pt/xjhs3jp9++only5czY8YMSpUqRc+ePalSpYq5jb8uI/57u3+N82auL8f+a1xbtmxh1KhRFClSBF9fXxo0aHBDuyIiIiIiInL3HtlMbpEiRZg0aRK1a9emQoUKmEwmTpw4QfXq1XnhhRdISUnhyJEj1K5dmw0bNlCuXDkcHR1xcnLi559/xt3dnW+//dbcnrW1NVlZd74RUJs2bQgLC2PVqlW89tprAERERLBv3z7effddZs2ahb+/P97e3hw9epSTJ09iNBqxssr/dwB3d3dWr15NSEgIycnJbNmyhbCwMOLi4u44ltjYWNq2bYufnx/nzp1j7969NGrU6I7vB4gJeOuurpf7o/q4IiIiIiJPhkeW5Lq7uxMYGMigQYPIyckBri0xHjp0KHZ2dsyZM4dJkyZx9epVSpYsyZw5cwDo378/wcHBRERE5NuFuUGDBowZM4bSpUvf0fOLFCnCZ599xpQpU/jss88wGAxUqFCBTz/9FDs7O3r37s2ECRNYsmQJDg4O1KtXj4SEBCpVqpSvnaFDhzJhwgS8vb3Jy8tj0KBB1KxZ866S3Ndee41Ro0YRExODra0t9evXJyEh4Y7vB9XJFRERERERuRmDqZCvk3VxcbmrBPWvNXk7depEVFTUwwpNLOif6uIW1sLbjxONgWWp/y1PY2B5GgPL0xhYlvrf8grrGFhZGXB2vvmeSPCIN54qaCyZ4Hb6Yhbn01Ms9vyCbt/ASaqLKyIiIiLyBFKS+//t3buXxYsXU6RIEX755RdcXFz44IMPsLOz49///jdfffUVTk5O+XaBvj4LnJiYyDvvvENaWhoXLlzAx8eHESNGEBkZqTq5IiIiIiIij5CS3L84dOgQGzdupEyZMnTt2pVdu3bx9NNPExERwZo1azAYDPj7+5uT3OvWr19Phw4d8PHxIS0tjebNmxMQEGBuU3VyRUREREREHg0luX9RtWpVnnnmGQCqVKlCamoqZ86coXnz5hQvXhy4tkvz30se9evXjz179vDJJ5/w008/kZOTw9WrVwHVyRUREREREXmUHlmd3CfBzWra/r3m7l/r8V43bdo0li9fTrly5Rg8eDBOTk7me1QnV0RERERE5NFRkvsPGjVqxHfffUdaWhpZWVls3rz5hmt2795Nv379aNu2LWfOnCExMfGG2d6/+mud3BIlSrB3717y8vIe5muIiIiIiIgUClqu/A+qV69O79696dKlCyVKlKBcuXI3XPPGG28wevRoihQpwjPPPIOrq+tt694+iDq5UT3evut3kTt3NTvb0iGIiIiIiMg9KPR1cp9UFy+mYzRq6CylsNYke5xoDCxL/W95GgPL0xhYnsbAstT/lldYx0B1ch+ChIQEevXqxdatW/Mdd3Fx4dtvv2XRokVMmTLlru+/G7cbVLl/V7OzSU9VnVwRERERkSeNktwH7Pfff+fcuXMP/Tm+qz7gj/SUh/6cwur7vpNJR0muiIiIiMiTRhtPPWCTJ0/m2LFjTJw4kdzcXEJCQvD398fLy4shQ4aQmZkJQGZmJm+++SYdOnSgR48eXLp0ycKRi4iIiIiIPPmU5D5gISEhuLq68u6773Lo0CFsbW1ZuXIlmzdvJi0tje3btwOQnJxM3759Wb9+PaVLl2bDhg0WjlxEREREROTJp+XK98DK6sa/DVyvqftXDRo0wNHRkRUrVnD69GnOnj1LRkYGAGXKlKF27doAvPjii5rJFREREREReQA0k3sPSpQoQVpa/l3MLl68SMmSJfMd27JlC6NGjaJIkSL4+vrSoEEDrm9mbWPzv78vGAwGtMm1iIiIiIjI/VOSew8cHByoXLkymzZtMh9buXIljRo1wtramtzcXABiY2Np27Ytfn5+lChRgr1795KXl2epsEVERERERAo8LVe+RzNnzmTChAksXLiQnJwcXFxcCA0NxWAwkJaWRlBQEP3792fUqFHExMRga2tL/fr1SUhIeCDPj3xt1ANpR27uana2pUMQEREREZF7YDBpnewT6eLFdIxGDZ2lFNbC248TjYFlqf8tT2NgeRoDy9MYWJb63/IK6xhYWRlwdna45flCMZN76tQpvL29mT9/Pq1bt77hfEJCAr169WLr1q0WiO7e3G5Q5e5l5mSTlqK6uCIiIiIiT7pCkeRGRETQpk0bVq5cedMk90nULXIGf1xJsXQYBca2gCmkoSRXRERERORJV+CT3JycHNatW8eKFSvo1q0bv/76K5UqVaJly5bUrl2bEydOMHPmTPP1mzZtYuHChXz22WckJSUxadIkMjIySE5OZuDAgXTv3p2wsDASExOJj4/nt99+47XXXmPw4MGcPHmS0NBQcnNzsbe3Z+rUqTz33HP85z//ISoqiqtXr2Jra8usWbN44YUXmD59Ort378bKyopWrVoRGBhowZ4SERERERF58hX43ZW3b99OuXLleP7552nVqhUrV640n2vWrBmbNm2iVKlSAOzatYuFCxfy6aefUqpUKVatWsWQIUOIiIhg2bJlzJgxw3xvXFwcn3zyCatWrWLJkiVcvnyZzz//nL59+xIZGUnXrl05fPgw6enpfPvttyxfvpz169fTokULVqxYwW+//caOHTuIjo7myy+/5OeffyYrSzOJIiIiIiIi96PAJ7kRERF06NABgHbt2hEZGUn2/985t06dOubrLl26xLBhw+jcuTOlS5cGIDg4mKysLBYvXszcuXPJyMgwX+/m5oadnR3Ozs44OjqSlpZG8+bNmTRpEu+88w5PPfUU3t7eODg4MGvWLGJiYpg1axbfffcdGRkZlC1bFnt7e7p168ayZcsYNWoU9vb2j7BnRERERERECp4CneRevHiRnTt38umnn9KyZUtCQkK4fPkymzdvBsiXVBoMBj788EM++eQTEhMTARg5ciSbN2+mSpUqjBw5Ml/bf7/XZDLRpk0b1qxZQ+3atfnss8949913OX/+PP7+/qSlpdGsWTN8fHwwmUzY2NiwatUqRowYQUpKCt26dePMmTMPv1NEREREREQKsAKd5EZFReHu7s6OHTvYunUr3333HYMGDSI8PPyGax0dHWnUqBHdu3dn8uTJAOzevZvhw4fTqlUrduzYAUBeXt4tnzdy5EiOHj1Kt27dGDFiBMePH+fo0aNUrlyZPn36UKtWLb799lvy8vI4fvw4PXv2pEGDBowZM4YqVaooyRUREREREblPBXrjqTVr1vDmm2/mO/b666/z73//GweHm5fgGThwIB07duTbb79l2LBh9OjRA3t7e6pVq0b58uVJSEi45fMGDRrEuP/X3p2HVVW9/R9/HwZxIEUcKDVNzdQ0FUsExQEwDQRFHMABhywz58zSHIqvsxg5YJZmWZKpqSjiPJRjzmU4ZzlSCk6oKPM5vz/8eZ7IITXkKOfzuq7nur7svdfaa6/7u5/H+1n7rHvYMD799FPs7e0JCwujYsWKzJs3Dz8/P0wmE3Xq1OHYsWO8+OKL1KpVC39/fwoUKEDt2rVp2LDhfT/b/KD37/ta+XepGemWHoKIiIiIiOQAg8lkMll6ECKW9qB1cq218PbjRDGwLM2/5SkGlqcYWJ5iYFmaf8uz1hjY2BgoVuzOi5aQx1dy/4v4+Hh8fHwIDg5m5MiR5uOHDx8mMDCQcePGERQUdMe2b775JqNHj8bFxeWRjS80dgIJqpObY9aGjFOdXBERERGRPEBJ7j04OTmxZcsWsrKysLW1BWDlypXmkkN388UXX+TG8EREREREROQflOTeQ6FChahSpQq7d+/G3d0duLkZVb169QD49ttviYmJISUlBXt7eyIiIqhQoQLe3t7MmTOHXbt2sWXLFq5cucKZM2eoX78+YWFhAMycOZNVq1aRlZWFp6cn7733HgaDwVKPKiIiIiIikifk6d2Vc4Kvry9r1qwBIC4ujsqVK2Nvb09ycjLr168nKiqK5cuX07hxY+bOnXtb+19++YWpU6eybNkyfvzxR44ePcrmzZs5cOAAixYtYunSpSQkJLBs2bLcfjQREREREZE8Ryu5/8Lb25vJkydjNBpZtWoVvr6+rFy5EkdHRyIiIlixYgUnT55ky5YtVK1a9bb2rq6u5p2cn332Wa5cucL27duJi4sz/6Y3NTWVUqVK5epziYiIiIiI5EVKcv/FrU+W9+7dy44dO3j33XdZuXIlZ8+eJTg4mE6dOtGwYUOKFy/O4cOHb2vv4OBg/s8GgwGTyURWVhZdunShW7duAFy9etX8m18RERERERF5eEpy74Ovry8RERFUr14dO7ubU1awYEHKlStH165dSU1NZerUqTz99NP31Z+7uztTp06lXbt2ODg40Lt3b1q1anXX3ZrvJCpg8EM9i9yZ6uSKiIiIiOQNSnLvg5eXF8OGDaN///7mY/b29hiNRvz8/DCZTNSpU4djx47dV3/e3t4cOXKEdu3akZWVRYMGDWjVqtUDjenixWSMRpU4FhERERER+TuDyWR6bDOlW7Vqv/rqK+rXr28+fmv34jJlyuTIfSpXroynpydffvml+dilS5do0KABPXv2pG/fvg/U3/79+5k/fz5jxozJkfHJf5eakc61pJyrg2uthbcfJ4qBZWn+LU8xsDzFwPIUA8vS/FuetcbAxsZAsWKOdz3/2K/k2tvbM2LECJYtW2bewOlROHHiBElJSTg5OQGwdu1aChcu/FB9vfTSS7z00ks5OLrbvbFqPIk3Lj/Se+Qly1pP4Bo5l+SKiIiIiMjj6bEvIVSyZEnq1avHhAkT7nh+5syZtGrVihYtWhAeHo7JZKJnz55s2rQJgE8++YQ33ngDgMTERPz9/e/Yj4+PDxs2bDD/vXr1al599VXz33FxcbRv355WrVrx+uuvc+bMGZKTk/H29mb79u0AdO/enblz57Jz505CQ0MBOHz4MG3btiUgIIBOnTpx7tw5AD7//HP8/PwICAhg/PjxZGVl/ceZEhERERERkcc+yQUYMmQIW7duZdu2bdmO363ebKNGjdixYwcAe/bs4fjx42RlZbFlyxYaNWp0x3v8vR7uhQsXAChRogQA6enpDB8+nIiICJYsWUK3bt0YMWIEjo6OjBkzhrCwMObOnYvBYKBjx47Z+h00aBC9evUiNjYWPz8/vvnmGzZt2sQPP/zA4sWLWbJkCadOnWL+/Pk5OmciIiIiIiLW6LH/XBnA0dGRUaNGmT9bvuVu9WY7dOjA22+/TXJyMnDzN7cHDx5k8+bN5hXWf3J1deXEiRNcu3aN1atX06xZM3Oye/LkSc6cOcPbb79tvv5W3x4eHri7u/PJJ5+watWqbH1eunSJ8+fP4+XlBUCHDh0AmDBhAs2bN6dAgQIAtG7dmqVLl96WIIuIiIiIiMiDeSKSXABPT8/bPlu+W73ZQoUKYTQaWbt2LbVr16Z48eLs2LGDgwcP4urqesf+DQYDXl5ebNiwgTVr1jBlyhTmzp0LgNFopEyZMsTExJjveysBNplMnDhxggIFCnDixAlKlixp7tPe3h6DwWD+Oy0tjcTERIxG4233z8zM/I8zJCIiIiIiIk/E58q33PpsOTExEbhZbzYmJobr16+TmZlJ7969zZ8cN2zYkM8++ww3Nzfc3d2JioqiZs2a2Nra3rV/X19fvvvuO/Lly4ezs7P5eIUKFbhy5Qp79uwBYPHixQwaNAiA7777joIFCzJ9+nRGjBjB9evXze2eeuopXFxc2Lp1KwAxMTFMmTIFd3d3VqxYQWpqKpmZmSxevBh3d/ecnSwREREREREr9MSs5ML/fbbcvXt34N71Zhs3bszs2bN5+eWXKViwIBkZGebPhu+mVq1anD9/nrZt22Y7ni9fPqZMmcKYMWNIS0vD0dGRCRMmcObMGT777DMWLlzIM888g6enJxMnTsTX19fcduLEiYSFhTFx4kSKFi1KeHg4JUuW5PDhw7Ru3ZrMzEw8PT3p1KnTA83FLN8hD3S9tUvNSLf0EEREREREJBc81nVy5e4uXkzGaFToLMVaa5I9ThQDy9L8W55iYHmKgeUpBpal+bc8a43BE18nNyf99ttvBAQEMHXqVJo1awbcXA2eM2cOZcqUuWObnTt3Mm3aNKKionJzqP/qXkGV26VmpHMtSXVyRURERETyOqtKchcvXsxrr73GggULzEnuk6r3urGcT7ls6WE8Mb5vMZFrKMkVEREREcnrrCbJzcjIIDY2lrlz5xISEsLp06cpW7as+XxycjJDhw4lISGBxMREPDw8GDNmDACXL1+me/fuJCYmUqNGDT766CPy5cvHt99+S0xMDCkpKdjb2xMREUGFChXw9vamefPmbNu2DTs7O3r16sVXX33FqVOnGDx4MH5+fvz222+MGjWKGzducOnSJXr06EH79u0tNT0iIiIiIiJ5whO1u/J/sWnTJkqVKkX58uVp0qQJCxYsyHZ+48aNVK1alQULFrBmzRp2797NwYMHAYiPjzfX6L1+/Trz5s0jOTmZ9evXExUVxfLly2ncuLG55BBA8eLFiY6OpmLFisycOZOvvvqKiRMnMnPmTAAWLlxIr169WLx4MXPmzCE8PDz3JkNERERERCSPspokd/Hixfj7+wPg5+dHdHQ06en/t+Ouv78/9evX5+uvv2b06NEkJSVx48YNAF555RWee+45DAYDAQEB7Nq1C0dHRyIiIlixYgURERH8+OOP5uvhZgkjgFKlSlGnTh3s7OwoVaoUV69eBW6WQ0pLS2PGjBlMnjw5W1sRERERERF5OFbxufLFixfZsmULBw8eZM6cOZhMJq5evcq6devM10RFRbFmzRratWtHvXr1+O2337i18bSd3f9Nk8lkws7OjrNnzxIaGkqnTp1o2LAhxYsX5/Dhw+br7O3tzf/57+1vGTBgAIULF8bLyws/Pz+WL1/+KB5dRERERETEqlhFkhsTE4O7uzuzZs0yH4uMjGT+/Pnmv7dt20ZwcDABAQHs37+fI0eOYDQasbGxYe/evfz11188/fTTLF26lAYNGrB//37KlStH165dSU1NZerUqTz99NP3PaZt27axatUqXFxczJ85Z2VlYWtrm3MPLiIiIiIiYmWsIsldsmQJ77zzTrZjHTt2ZNasWTg63izF06VLF8LCwpg5cyaOjo64uroSHx9P2bJlef755xk6dCjnz5/H3d2dNm3akJqayrx58/Dz88NkMlGnTh2OHTt232Pq27cvHTp0wMHBgSpVqlC6dGni4+MpV67cfbX/9NWh9z8BQmpG+r9fJCIiIiIiTzyD6dY3uSJ51KOokWuthbcfJ4qBZWn+LU8xsDzFwPIUA8vS/FuetcbAxsZAsWKOdz3/SFZy4+Pj8fHx4auvvqJ+/frm497e3syZM4cyZcrkyH0qV67M0aNHsx3L6Xvcj+joaHbt2sX48eOzHd+/fz/z5883lyLKSe/+OJoLqpN7X77xi1CNXBERERERK/HIdle2t7dnxIgRJCcnP6pbPPZeeumlR5LgioiIiIiIyJ09siS3ZMmS1KtXjwkTJtzx/MyZM2nVqhUtWrQgPDwck8lEz5492bRpEwCffPIJb7zxBgCJiYnm8j/3KzMzk+HDhxMcHIyPjw+9evUiNTWV+Ph4WrZsyTvvvENAQACDBw9m/vz5BAcH89prr/HHH38AN1eEw8PDCQwMJDAwkEOHDgEwe/ZsWrRoQWBgIB9++KH5fqdOnSI0NBQfHx+GDx8OwM6dOwkNDQUgNDSUPn360KxZMw4fPszmzZtp06YNgYGB9OnTh8uXtSorIiIiIiLyXz3SOrlDhgxh69atbNu2LdvxzZs3c+DAARYtWsTSpUtJSEhg2bJlNGrUiB07dgCwZ88ejh8/TlZWFlu2bKFRo0Z3vEfLli2z/U9iYiIAv/zyC/b29ixYsIB169Zx7do1cwJ99OhR3nzzTWJiYvj555/5888/WbBgAf7+/ixYsMDcd8GCBVm6dCn9+vVj8ODBZGVlMWPGDBYvXkx0dDQZGRkkJCQAcPbsWSIjI1m1ahWbN2++4yZUlStXZs2aNbi4uBAREcGXX37J0qVL8fT05OOPP/7vEy4iIiIiImLlHunuyo6OjowaNYoRI0awbNky8/Ht27cTFxdHUFAQAKmpqZQqVYoOHTrw9ttvmz9xrly5MgcPHmTz5s3mFdF/iomJyfa3t7c3AHXq1MHJyYm5c+dy/PhxTp48yY0bNwAoXrw4L774IgBPP/00Hh4eAJQqVYr4+HhzX+3atTP3OWTIEK5cuYKrqytt2rTBx8eHbt264eLiAsArr7yCk5MTAGXLlr3jymyNGjUA+PXXXzl79iydO3cGwGg0UqRIkfuaUxEREREREbm7R15CyNPT87bPlrOysujSpQvdunUD4OrVq9ja2lKoUCGMRiNr166ldu3aFC9enB07dnDw4EFcXV0f6L4bNmxg6tSpdO7cmaCgIC5fvsytjaTz5cuX7dq71aa1s/u/6TEajdja2jJ9+nT27dvH5s2beeONN8wrsH+/1mAwcKdNq/Pnz29+/tq1a/P5558DkJaWxvXr1x/o+UREREREROR2uVInd8iQIQQEBHD+/HkA3N3dmTp1Ku3atcPBwYHevXvTqlUrgoKCaNiwIZ999hkjRoygZMmSvPnmm7i5ud01Eb2b7du34+vrS+vWrTlz5gw7d+40r9jerxUrVhAaGsq6deuoWLEiWVlZ+Pn5sWjRIlxdXTl37hxHjx6lUKFCD9RvzZo1GT58OCdOnKB8+fJMnz6dhISE23ZnvpcIr+EPdE9rphq5IiIiIiLWI1eS3FufLXfv3h24+fnvkSNHaNeuHVlZWTRo0IBWrVoB0LhxY2bPns3LL79MwYIFycjIwMvL64Hv2bZtWwYNGsSKFSuwt7endu3a2T5Fvh8///wzixYtokCBAowfPx5nZ2eCg4Np06YNBQoUoHz58rRu3ZrVq1c/UL8lSpRg7NixDBgwAKPRiIuLCxMnTnygPi5eTMZoVIljERERERGRvzOY7vRd7RPq+vXrfPzxx2zdupUCBQrg6OhI37598fDwMO9uXLduXfP1O3fuZNq0aURFRd3W1616u9OmTcPNzc38+2F5fKVlpHM1KXfq4Vpr4e3HiWJgWZp/y1MMLE8xsDzFwLI0/5ZnrTGwsTFQrJjjXc/nykpubrhVgqhq1aqsWLGCfPnycejQIXr06EFERISlh5fjhm0ZyaXUS5YexmPls1cnA7mT5IqIiIiIyOMpzyS5u3bt4q+//mLOnDkYDAYAXnzxRd5++22mT59uvu7ixYt06dKFAQMG8NRTT2VrP2nSJFJTU7l69SpDhw6lTJkyAGzcuJHvvvuOixcv0rNnT4KDg0lJSWH48OEcPXoUg8FA9+7dCQwMJDo6mo0bN5KUlERiYiIhISH8+eef7NixAycnJ2bNmoWDgwOTJk1i+/btXLlyhZIlSzJp0iSKFy+eu5MmIiIiIiKSxzzSOrm5af/+/VSvXt2c4N5Sp04d9u/fD8C1a9fo0aMHffr0oUmTJtmu+/bbbxk9ejRLlixh9OjRTJkyxXwuPT2dhQsXMmPGDCZNmgRAZGQkRYsWZfny5XzzzTdERkZy5MgR81imT5/Ol19+ybhx42jYsCGxsbEAbNmyhVOnTnH8+HHmz5/PmjVreOaZZ7KVWBIREREREZGHk2dWcg0GA1lZWbcdz8jIMCe+H330EcWLF6dp06a3XTdx4kR+/PFHVq9eza+//pqtpI+Pjw8Gg4FKlSqZ69/u2LGDsWPHAuDs7IyPjw+7du3C0dGR2rVr4+joiKPjze/Eb+3qXLp0aa5evUq5cuUYPHgwCxcu5MSJE+zbt4+yZcvm7ISIiIiIiIhYoTyzkluzZk0OHDhARkZGtuP79u2jevXqALz55ps4Ozszb96829p36NCBuLg4qlevTs+ePbOdu1W+6O+rxP/cr8tkMpmTbHt7+2zn/l5DF+DAgQN0794do9FIs2bNaNKkyR3r6oqIiIiIiMiDyTNJ7iuvvMLzzz/P2LFjzYnugQMH+Oyzz+jVqxcAVatW5aOPPmLatGkkJCSY2yYlJXHy5En69+9Pw4YN2bBhwx1Xhf/O3d2dRYsWAXDp0iU2bNiAm5vbfY119+7duLm50b59e5577jk2btz4r/cTERERERGRf5dnPlcGmDZtGpMmTcLf3x9bW1uKFCnCxIkTqVu3LtOmTQPgueeeo2PHjowcOZLOnTsD4OTkRJs2bWjevDl2dna4u7uTmprKjRs37nqv3r17ExYWRkBAAFlZWfTs2ZNq1apx9OjRfx2nn58fffr0ISAgAIDq1as/cA3fMQ0+fKDrrUFaRrqlhyAiIiIiIhaWp+rkWpOLF5MxGhU6S7HWmmSPE8XAsjT/lqcYWJ5iYHmKgWVp/i3PWmNgNXVy/6lbt2507NjRvIvyhAkTmD9/Pjt37iRfvnwAeHp6Mn/+fHOpoJyQkJDA8OHD+eKLL3Kszzu5V1DzqrSMdK4mqQ6uiIiIiIjcXZ5Nct3d3dm7d685yf3pp5+oVasWe/fuxcPDg1OnTlGwYMEcTXABXFxcHnmCCzBq+4dcTr30yO/zOPnEaxqgJFdERERERO4uzya5Hh4e5hI/CQkJ5MuXj2bNmrF161Y8PDzYs2cP586d49133yUiIgK4WfvWwcGB0NBQhg8fztGjRzEYDHTv3p3AwECio6PZuHEjSUlJJCYmEhISwp9//smOHTtwcnJi1qxZnD9/ns6dO/PDDz8wZMgQHB0dOXjwIAkJCfTu3ZvWrVtz7do13n//fU6fPs2zzz7LuXPnmDZtWo4n3CIiIiIiItYmz+yu/E/VqlXj9OnTpKWlsXXrVurXr0/9+vXZunUrAHv27GHUqFFs376d5ORkAJYvX07Lli2JjIykaNGiLF++nG+++YbIyEiOHDkCwP79+5k+fTpffvkl48aNo2HDhsTGxgKwZcuW28Zx7tw5vvvuOz777DPCw8MB+PTTTylfvjwrVqygd+/e/Pbbb7kxJSIiIiIiInlenk1ybW1tqVmzJvv372fr1q14enry7LPPkpqaypUrV/jll1/w8fGhUaNGrFu3jj179vDss8/i4uLCjh07aNOmDQDOzs74+Piwa9cuAGrXro2joyOlS5cGbq4YA5QuXZqrV6/eNo769etjMBh44YUXSEpKAmDbtm20bNkSgJdeeokXXnjhUU+HiIiIiIiIVcizSS7c/F3uzz//TFxcHLVq1QJuJqUbNmygaNGiODo60rp1a5YvX05sbCxBQUEA/HPDaZPJZK5ja29vn+2cnd29v/h2cHAAwGAwmI/Z2tredg8RERERERH57/J0kuvh4UFMTAwvvPCCORmtX78+s2fPpn79+gC88sornDt3jp07d5o3qXJ3d2fRokUAXLp0iQ0bNuDm5paj47r1ifPRo0c5duxYtiRYREREREREHk6e3XgKMH8i3KFDB/Mxd3d3BgwYQL169czHXn31VZKSksylhXr37k1YWBgBAQFkZWXRs2dPqlWrxtGjR3NkXL179+aDDz4gICCAsmXLUrx4cfLnz/9AfYzwGJkjY3mSpGWkW3oIIiIiIiLymDOYrPi7WZPJREZGBt26dWPo0KFUq1YtV+4bExNDmTJlePnll/nrr7/o1KkT69evx8YmTy+s/2dpmWlcvfx4JLrWWnj7caIYWJbm3/IUA8tTDCxPMbAszb/lWWsMbGwMFCvmeNfzeXol99+cP3+e5s2b4+PjQ1BQEFOnTqVZs2a3XZeQkMDw4cNzrP5thQoV+OijjzAajdjY2DBy5MgHTnDDdwwlKe1ijoznSTG20Qzg8UhyRURERETk8WTVSW7JkiXZvXs348aN47XXXmPBggV3THJdXFxyLMGFmzsqR0dH51h/IiIiIiIicpNVJ7kAGRkZxMbGMnfuXEJCQjh9+jRly5bF29ubGjVqcPjwYSZOnMiAAQP44Ycf6Nq1K5cvXwZurvDWrFmTGTNmsHjxYmbPno3BYKBatWqMGDGCQoUK4enpSbNmzdi7dy+2trZMnjyZZ599llWrVjF79mxSU1NJT09n7Nix1K5d28KzISIiIiIi8mSz+h+Bbtq0iVKlSlG+fHmaNGnCggULzOcaNmzImjVrcHZ2Nh/7+uuviYmJITIyEkdHRz744AOOHj3K559/TlRUFLGxsRQoUIBp06YBNz+J9vDwYOnSpdSpU4e5c+diNBqZP38+n3/+OcuWLeONN95g5syZuf7sIiIiIiIieY3VJ7mLFy/G398fAD8/P6Kjo0lPv/m7z5o1a96xTXJyMr1792bEiBE899xz7N69Gy8vL4oWLQpAcHAwO3bsMF/foEEDACpVqsSVK1ewsbHh008/ZevWrUyZMoUlS5Zw/fr1R/mYIiIiIiIiVsGqP1e+ePEiW7Zs4eDBg8yZMweTycTVq1dZt24dAA4ODre1MZlMDBo0CD8/Pxo1agSA0Wi87ZrMzEzz37f6MRgMmEwmrl+/Tps2bWjRogV16tShcuXKzJ0791E9poiIiIiIiNWw6iQ3JiYGd3d3Zs2aZT4WGRnJ/Pnz79pm0qRJ5MuXj549e5qPubm5MWfOHHr16oWTkxPff/89devWvWsfJ0+exGAw0LNnT0wmE++//z5ZWVkPNPb33cc+0PV5QVpmmqWHICIiIiIijzmrTnKXLFnCO++8k+1Yx44dmTVrFo6Ot9ddSkhIYMaMGVSuXJlWrVphMpkoXLgwUVFRvPXWW4SGhpKRkUG1atX43//+d9f7VqlShapVq+Lr64vBYMDT05O9e/c+0NgvXkzGaLTaEsciIiIiIiJ3ZDCZTHk2U9q5cyfTpk0jKioKuPlb2tdff53atWszZMiQB+rr+++/p2DBgubf7z6IypUrc/To0QduZ23SM9O4cvnJqINrrYW3HyeKgWVp/i1PMbA8xcDyFAPL0vxbnrXGwMbGQLFity9K3mI1K7nXr1/njTfewM3NjUGDBj1w+59//hk3N7dHMLKHM2XXIK6kXbT0MHLUhw1mA09GkisiIiIiIo8nq9hd+caNG/To0QN3d3dzgrt582batGlDYGAgffr0Mde+9fb2ZvLkybRp04bmzZtz4MABfvrpJ3744QemTp3Kli1bGDJkCNHR0eb+K1euDEBSUhK9e/fG19eXli1bsn379mzj+Pnnn2natCknTpzA29ubEydOmMfXqFEj0tL0m1MREREREZH/Is8nuSkpKbz11lv89ttvdO3aFYBLly4RERHBl19+ydKlS/H09OTjjz82t3FycmLRokWEhIQwY8YM6tWrh7e3N/369TOXA7qTKVOmULZsWVatWkV4eDiTJ082nzty5AjDhg3j888/p3z58gQGBrJs2TIA1q5dS+PGje+4m7OIiIiIiIjcvzyf5O7fvx8PDw/8/PwYPnw4AL/++itnz56lc+fOtGzZkrlz53Lq1Clzm7/XtU1KSrrve+3evZuWLVsCN1d3FyxYYD7XvXt36tWrR4UKFQAICgpi+fLlwM0NsIKCgv7Tc4qIiIiIiIgV/CbX1dWVXr16kZKSQmBgIPPmzaNEiRLUrl2bzz//HIC0tDSuX79ubvP3urZ3cqveLUBGRob5uJ2dXbY2f/zxB+XLlwfg448/5v3336dt27ZUqVKFMmXKUKpUKdauXcvFixepWbNmzj64iIiIiIiIFcrzK7n29vYAFChQgPDwcCZOnIizszP79u0z/yZ2+vTphIeH37MfW1tbcy1bJycnfv/9dwDWr19vvuaVV15hxYoVwM0E98033zQnvR4eHrz77rsMHz4co9EIQOvWrRk9ejQtWrTIwScWERERERGxXnl+JffvatasSdeuXfnoo48YO3YsAwYMwGg04uLiwsSJE+/Ztl69enzyySc89dRTtG/fngEDBhAQEIC7uzslSpQAoF+/fgwfPpwWLVpgZ2dHeHh4tpXdwMBAoqOjiYqKokuXLjRt2pQRI0aYP3F+EP3dPv73i54w6ZnaeEtERERERP6bPF0n93FmMpnYvHkz8+bNM382/SAuXkzGaFToLMVaa5I9ThQDy9L8W55iYHmKgeUpBpal+bc8a42B6uT+TXx8PD4+PgQHBzNy5Ejz8cOHDxMYGMi4ceP45ptviImJeeRjGTt2LD/++CNffPEFw4YNIyQkhJdeeum+298rqI+79Mw0rlxWPVwREREREcl5VpXkws3f027ZsoWsrCxsbW0BWLlyJc7OzgC5kuACDBs2jGHDhgEwZsyYB24/Y3d/rqZdyOlh5Yr3POcCSnJFRERERCTn5fmNp/6pUKFCVK1ald27d5uPbdu2jXr16gE3S/8AbN++naCgIIKCgujWrRuXLl0iOTmZHj16mI9v2LABgBMnThAaGkpAQADBwcHExcUBMGTIEKKjo833udV3ZGQk3bt3x8/Pj++++47Q0FB27tyZK88vIiIiIiKSl1ldkgvg6+vLmjVrAIiLi6Ny5crmXZhvmT59OmFhYURHR1OvXj0OHTrEunXrKF26NNHR0YwZM4Y9e/YA8N577xEaGkpsbCwffPAB/fv3Jz393iuV6enprFy5kg4dOjyahxQREREREbFCVpnkent7s3nzZoxGI6tWrcLX1/e2a3x8fOjTpw8jR47kxRdfxNPTE1dXV9avX0+vXr3Yv38/vXv35vr165w+fZqmTZsCUKtWLYoUKcLx48fvOYYaNWo8kmcTERERERGxZlaZ5BYqVIgqVaqwd+9eduzYYf5U+e+6du1KVFQUZcuWZeLEiXz22Wc899xzrFq1ioCAAPbs2UObNm240+bUJpOJrKwsDAaD+XxGRka2a/Lnz/9oHk5ERERERMSKWWWSCzc/WY6IiKB69erY2d2+/1bbtm25fv06Xbt2pWvXrhw6dIhvv/2WyMhIfH19+eijj7h06RJGo5EyZcqwdu1aAPbt28eFCxeoVKkSTk5O/P777wCsX78+V59PRERERETEGlnd7sq3eHl5MWzYMPr373/H8wMHDmTIkCHY2dlRsGBBRo8eTfHixRk4cCABAQHY2try3nvvUbhwYSZOnEhYWBiRkZHY29sTGRlJvnz5aN++PQMGDCAgIAB3d3dKlCiRY+N/q86UHOsrt6Vnpll6CCIiIiIikkcZTHf63lYeexcvJmM0KnSWYq2Ftx8nioFlaf4tTzGwPMXA8hQDy9L8W561xsDGxkCxYo53PW+1K7mZmZl88cUXLFu2DIPBQFZWFq1ateKtt97CYDA8knvOmzcPgPbt2//nvu4V1MdZemYaVy6rRq6IiIiIiDwaVpvk/u9//+PChQssWLCAwoULk5ycTO/evXnqqafo2LHjI7lnTiS3t3yz922upZ3Psf5yS596iwAluSIiIiIi8mhYZZJ77tw5li1bxubNmylcuDAAjo6OfPjhh/z+++9cuHCBDz/8kHPnzmEwGHj33XepV68eKSkpDB8+nKNHj2IwGOjevTuBgYFER0ezZMkSkpKS8PLyokOHDgwaNIgrV67wwgsvsHv3bjZv3kxkZCQAffv25dtvvyUmJoaUlBTs7e2JiIigQoUKlpwWERERERGRJ55VJrlxcXFUrFiRIkWKZDtesWJFKlasyDvvvEPr1q3x8fEhMTGRDh06sHTpUqZPn07RokVZvnw5ly5dom3btlSpUgWAhIQEVq5ciZ2dHX379sXX15eOHTuybt06li9fnu0+ycnJrF+/nqioKPLnz8+UKVOYO3cuI0aMyLU5EBERERERyYusMskFsv3udvXq1Xz22WcYjUby5ctHfHw8x48fZ+rUqcDN3++eOXOGHTt2MHbsWACcnZ3x8fFh165dODo68uKLL5pLEW3bto1x48YB8Oqrr5pXi29xdHQkIiKCFStWcPLkSbZs2ULVqlVz47FFRERERETyNKtMcqtXr84ff/xBcnIyjo6OvPbaa7z22mvEx8fTuXNnjEYj33zzDU5OTgAkJiZSrFgx/rkRtclkIisrC4D8+fObj9va2t527d+dPXuW0NBQOnXqRMOGDSlevDiHDx/O+QcVERERERGxMjaWHoAllCpVihYtWjB48GCuXr0K3Fyt3bhxIzY2Nri7u/Pdd98B8PvvvxMQEEBKSgru7u4sWrQIgEuXLrFhwwbc3Nxu69/Dw4PY2FgANm3aZL7HLfv376dcuXJ07dqVl156ifXr15uTZREREREREXl4VrmSCxAWFsbs2bPp3LkzWVlZXL9+nbp16/LFF19QsGBBPvzwQwICAgAIDw/H0dGR3r17ExYWRkBAAFlZWfTs2ZNq1apx9OjRbH0PGzaMwYMH8/3331OlSpXbPleuX78+8+bNw8/PD5PJRJ06dTh27NgDjb/Ly5/9twmwkPTMNEsPQURERERE8jCD6V7f1cpDmTNnDvXq1eP555/n4MGDjBgxgujoaEsPK1fl9Xq41lp4+3GiGFiW5t/yFAPLUwwsTzGwLM2/5VlrDGxsDBQr5njX81azktu+fXs6depE8+bNzcdu3LiBl5cXq1atwtnZOcfuVa5cOQYOHIiNjQ0ODg6MGjXqrteGhoYSFRX1wPdY8HN3ktMS/8swH6nuHrGoHq6IiIiIiOQ2q0lyW7duTWxsbLYkd+3atdStWzdHE1yARo0a0ahRo/u6dteuXTl6bxEREREREWtmNUmur68v4eHhJCUlmXdNXrZsGZ06dWLw4MEcO3aMrKws3nzzTfz9/YmOjmbJkiUkJSXh5eVFYmIiBQoU4NChQ1y9epWBAwcSExPDkSNHaNKkCUOGDMFoNDJ27Fi2b9+OwWCgRYsW9OjRg507dzJjxgzy58/PH3/8QeXKlfn4448JDw8HoG3btixcuNCCsyMiIiIiIpI3WE2SW6hQIXx8fFi9ejUhISEkJCRw4sQJdu/eTbVq1ZgwYQLJycmEhIRQs2ZNABISEli5ciV2dnYMGTKExMREFixYwJIlS/jggw9Ys2YNDg4ONGzYkN69e7Ns2TLOnj3LsmXLSE9PJzQ0lBdeeIECBQrwyy+/sGrVKkqWLEm7du3YunUrw4cPJyoqSgmuiIiIiIhIDrGqEkJBQUEsX74cgNjYWFq0aMHOnTuZP38+LVu2pGPHjty4ccO80/GLL76Ind3//f8BGjZsCNwsQVSpUiWKFSuGo6MjTk5OXLlyhZ07d9KqVStsbW0pUKAAAQEBbN++HYBKlSrx9NNPY2NjQ8WKFbly5UouP72IiIiIiEjeZzUruQB16tTh/Pnz5tXWadOmsWnTJiZOnEi1atUAuHDhAkWKFCE2Npb8+fNna29vb2/+z39Pfm8xGo3Z/jaZTOb6tw4ODubjBoMBbWotIiIiIiKS86wqyQUIDAzks88+o0iRIpQtWxZ3d3fmzZvH6NGjSUxMJDAwkPnz5z9U3+7u7ixduhQvLy/S09OJjY2lZ8+e92xja2tLZmbmHZPmewmu/eVDjTG3qB6uiIiIiIhYgtUluUFBQXh7ezNmzBgA+vTpQ1hYGP7+/mRlZfHee+9RtmxZ9uzZ88B9BwcHc/LkSVq2bElGRgYBAQG8+uqr7Ny5865tfHx8aNmyJdHR0dlWe//NxYvJGI1aDRYREREREfk7g+kx+W529erVzJw5k8zMTEwmEy1btuSNN954qL5+/PFHTp48Sbdu3YiMjASgb9++d71+586d9OzZk7Jly2IymUhLS6NRo0b079+fQoUK3bPdtGnT7rvO7d/HlVdlZKaSdDnD0sN45Ky18PbjRDGwLM2/5SkGlqcYWJ5iYFmaf8uz1hjY2BgoVszxrucfi5XchIQEJkyYQHR0NEWLFuX69euEhoZSvnx5fHx8Hri/AwcOPHCb6tWrm5PVjIwMhg4dSlhYGBMnTnzgvnJyXHcT80snrqcl5Fh/OaWD+zog7ye5IiIiIiLyeHosdle+fPkyGRkZpKamAjfL/YwfP57nn38egH379tG2bVtatGhBly5dOHXqFAChoaHmT4Hj4+Px9vbm999/Z/78+cyfP5/FixcDEBcXR0hICF5eXuaV3Xuxt7fn/fffZ+XKlVy9epXk5GT69etHcHAwXl5eDB069LaNo7755htCQ0NJSUnhxIkThIaGEhAQQHBwMHFxcbeNKyEhge7du9OuXTsaN27MlClTcmw+RURERERErNVjsZJbpUoVfHx8aNKkCVWrVqVu3boEBARQrlw50tPTGThwIJMnT6ZGjRqsWrWKgQMHmhPYf3r++ecJCQkBoHXr1kRGRnLx4kXmz59PcnIy3t7edOvWDUfHuy9vA5QoUYLChQtz8uRJTp8+TdWqVZk6dSrp6ek0b96cgwcPmq+Njo5m7dq1zJw5kwIFCvDee+/Ro0cPmjZtyr59++jfvz9r1qzJNq4vv/wSf39/WrVqxbVr12jUqBGhoaE4Ozvn0KyKiIiIiIhYn8diJRfgf//7Hz/88APt27fnr7/+ol27dqxdu5aTJ09SuHBhatSoAYCvry+nT5/m2rX7//a8QYMG5MuXD2dnZ4oWLXrfNWoNBgMODg74+/tTv359vv76a0aPHk1SUhI3btwA4LfffmPEiBF07tyZQoUKcf36dU6fPk3Tpk0BqFWrFkWKFOH48ePZ+u7evTvPPPMMX375JWPGjCEjI4OUlJT7fiYRERERERG53WOR5G7cuJGVK1fi4uJC69atmTRpEsOHD2fRokW31Z6F7PVnb302nJmZedf+/16e535r1F64cIFr165RtmxZoqKiCA8Px9nZmU6dOlGxYkVzH4UKFSIyMpLw8HBu3Lhxx77/Pt5bxo8fT1RUFKVKleLtt9+maNGiqp0rIiIiIiLyHz0WSW7+/PmJiIggPj4euJkUHj58mKpVq1KhQgWSkpKIi4sDYOXKlZQqVQonJyeKFi3K77//DsD69evN/d2qPfuw0tPTCQ8Pp1WrVhQoUIBt27YRHBxMixYtSEtL48iRI+bku3Tp0nh7e+Pm5sbUqVNxdHSkTJkyrF27Frj5e+ILFy5QqVKlbOPatm0b3bt3x9fXlxMnTpCQkHDHhF5ERERERETu32Pxm1x3d3f69OlDz549yci4uTNvgwYN6N27N/ny5WPSpEmMGjWKlJQUihQpwqRJkwB44403GDJkCIsXL862C3OdOnUYPHgwxYsXv+8xHDhwgJYtWwKQlZWFu7s777//PgBdunQhLCyMmTNn4ujoiKurK/Hx8ZQtW9bc/v3338ff35+AgAAmTpxIWFgYkZGR2NvbExkZSb58+bKN66233uL9998nf/78PP3001SvXv22Pu+lpeu39/1suSkjM9XSQxARERERESv22NTJlQdz8WIyRqNCZynWWpPscaIYWJbm3/IUA8tTDCxPMbAszb/lWWsMnog6uZa0c+dOpk2bZq6Rm5yczOuvv07t2rUZMmSIhUd3d/cKqiVlZKaSdFl1ckVERERExDKsPsn9u+vXr/PGG2/g5ubGoEGDLD2ce1rzSztupJ+z9DBu06ruZkBJroiIiIiIWIaS3P/vxo0b9OjRA3d3dwYMGADAt99+S0xMDCkpKdjb2xMREUGFChXw9vamRYsWbN26lZSUFCZMmED16tWZPXs2S5YswcbGhho1ajBy5EiSk5MZOnQoCQkJJCYm4uHhwZgxY0hISGDQoEHcuHEDGxsbhg8fTq1atSw6ByIiIiIiIk+6x2J3ZUtLSUnhrbfe4rfffqNr167Azc+W169fT1RUFMuXL6dx48bMnTvX3MbJyYlFixYREhLCjBkzyMrKYsaMGSxevJjo6GgyMjJISEhg48aNVK1alQULFrBmzRp2797NwYMHWbRoEY0bNyY6Opp+/fqxd+9eCz29iIiIiIhI3qGVXGD//v3079+fChUqMHz4cKZNm4ajoyMRERGsWLGCkydPsmXLFqpWrWpu06BBAwAqVarE2rVrsbW1xdXVlTZt2uDj40O3bt1wcXHB39+fuLg4vv76a44fP05SUhI3btzAw8ODvn37cvjwYRo1akSnTp0s9fgiIiIiIiJ5hlZyAVdXV3r16sWQIUM4duwY8+bN4+zZswQHB3Pt2jUaNmxIq1at+PtG1A4ODgAYDAbzsenTpxMWFobJZOKNN95g165dREVFER4ejrOzM506daJixYqYTCZefvllVqxYgaenJytXrqRnz565/twiIiIiIiJ5jVZyAXt7ewAKFChAeHg43bp148qVK5QrV46uXbuSmprK1KlTefrpp+/ax6VLl+jYsSOLFi3C1dWVc+fOcfToUbZt20ZwcDABAQHs37+fI0eOYDQaCQ8Px8XFhS5dulC3bl1atWqVW48rIiIiIiKSZynJ/YeaNWvStWtXFi5cSNmyZfHz88NkMlGnTh2OHTt213bOzs4EBwfTpk0bChQoQPny5WndujXPP/88YWFhzJw5E0dHR1xdXYmPjyc0NJR3332X6OhobG1tmTBhwgONs5nr9//1UR+JjMxUSw9BRERERESsmMH0929wRf6F6uDeZK2Ftx8nioFlaf4tTzGwPMXA8hQDy9L8W561xsDGxkCxYo53PW8VK7nx8fH4+PgQHBzMyJEjzccPHz5MYGAg48aNIygo6IH6/P777ylYsCD+/v45Pdz7sumXVqSmn831+zaruwPVwRURERERkceV1Ww85eTkxJYtW8jKyjIfW7lyJc7Ozg/V388//0x6enpODU9ERERERERygFWs5AIUKlSIKlWqsHv3btzd3QHYtm0b9erVA+DHH39k8uTJGI1Gnn32WUaOHEnx4sXx9vamRYsWbN26lZSUFCZMmMDVq1f54Ycf2LFjByVKlMDFxYVRo0Zx48YNLl26RI8ePWjfvj2RkZEkJCRw6tQp/vzzT9q2bcvbb79NcnIyQ4cOJSEhgcTERDw8PBgzZky2nZpFRERERETkwVnNSi6Ar68va9asASAuLo7KlStjb2/PxYsX+fDDD/n000+JjY2ldu3a2T5rdnJyYtGiRYSEhDBjxgzq1auHt7c3/fr1o0GDBixcuJBevXqxePFi5syZQ3h4uLnt0aNH+fLLL1m4cCEzZ87k6tWrbNy4kapVq7JgwQLWrFnD7t27OXjwYK7Ph4iIiIiISF5jVUmut7c3mzdvxmg0smrVKnx9fYGbpYNq1KhBmTJlAAgODmbHjh3mdg0aNACgUqVKJCUl3dbvkCFDSEtLY8aMGUyePJkbN26Yz9WtW5d8+fJRrFgxnJycuHbtGv7+/tSvX5+vv/6a0aNHk5SUlK2NiIiIiIiIPByrSnJvfbK8d+9eduzYYf5U2Wg0ZrvOZDKRmZlp/tvBwQHgrp8TDxgwgHXr1lGxYkUGDBiQ7dyttrfam0wmoqKiCA8Px9nZmU6dOlGxYkW0ybWIiIiIiMh/ZzW/yb3F19eXiIgIqlevjp3dzcdPTU3l119/JT4+njJlyrBgwQLq1q17z35sbW3Nm1ht27aNVatW4eLiwty5cwGybXD1T9u2bSM4OJiAgAD279/PkSNHbku0/00j1yUPdH1OUR1cERERERF5nFldkuvl5cWwYcPo37+/+Vjx4sUZOXIkffr0ISMjg1KlSjFmzJh79lOvXj0++eQTnnrqKfr27UuHDh1wcHCgSpUqlC5dmvj4+Lu27dKlC2FhYcycORNHR0dcXV3vef2dXLyYjNGo1V8REREREZG/M5j0ney/qly5MkePHr3t+JAhQ3Bzc7tnjd27tX3SZGamcvmy6uPeYq2Ftx8nioFlaf4tTzGwPMXA8hQDy9L8W561xsDGxkCxYo53PW91K7l5xc59AaSln821+zV02wMoyRURERERkcebktwHYDKZGD9+PBs3bqRkyZJkZWXh5uYGwKRJk9i+fTtXrlyhZMmSTJo0ieLFiwPw4Ycfsm/fPgAiIyMpV64c+/btY8yYMaSlpVG0aFFGjhxJuXLlLPVoIiIiIiIieYJV7a78X61Zs4ZDhw6xfPlypkyZwunTpwE4deoUx48fZ/78+axZs4ZnnnmGZcuWmdvVq1ePZcuWUb9+febPn096ejoDBw5kxIgRLFu2jJCQEAYOHGipxxIREREREckzlOQ+gF27dtG0aVPs7e1xdnamYcOGAJQrV47BgwezcOFCxo8fz759+7LVvW3SpAkAzz//PElJSZw8eZLChQtTo0YN4OaOz6dPn+baNev7nl5ERERERCQnKcl9ALfq3N5yqwTRgQMH6N69O0ajkWbNmtGkSZM7Xner/Z3KBZlMpnuWHRIREREREZF/pyT3AXh4eLBq1SrS09O5cuUKW7ZsAWD37t24ubnRvn17nnvuOTZu3HjPhLVChQokJSURFxcHwMqVKylVqhROTk658RgiIiIiIiJ5ljaeegBNmjRh//79+Pv7U7x4cSpWrAiAn58fffr0ISAgAIDq1avfs+5tvnz5mDRpEqNGjSIlJYUiRYowadKkBxpL3VqxD/8gDyEzMzVX7yciIiIiIvIwVCf3CXXxYjJGo0JnKdZak+xxohhYlubf8hQDy1MMLE8xsCzNv+VZawxUJ/ch/fbbbwQEBDB16lSaNWsGgLe3N3PmzKFMmTIP1NfDtruXewX1v8jMTOXyZdXDFRERERGRJ5OS3LtYvHgxr732GgsWLDAnuY+TuDh/0tPP5ni/r7yyF1CSKyIiIiIiTyZtPHUHGRkZxMbGMmDAAA4ePGiuh3tLcnIy/fr1Izg4GC8vL4YOHYrJZOLcuXN06tSJoKAg2rRpw759+7K1O3HiBE2bNmXfvn137UNEREREREQenpLcO9i0aROlSpWifPnyNGnShAULFmQ7v3HjRqpWrcqCBQtYs2YNu3fv5uDBgyxatIjGjRsTHR1Nv3792Lt3r7nNuXPn6NOnD2PHjqVWrVp37UNEREREREQenj5XvoPFixfj7+8P3Nw5edCgQfTv39983t/fn7i4OL7++muOHz9OUlISN27cwMPDg759+3L48GEaNWpEp06dzG369+/PSy+9xCuvvHLPPkREREREROThaSX3Hy5evMiWLVv46quv8Pb2Zvjw4Vy9epV169aZr4mKiiI8PBxnZ2c6depExYoVMZlMvPzyy6xYsQJPT09WrlxJz549zW2GDRvGmTNn2Lhx4z37EBERERERkYenldx/iImJwd3dnVmzZpmPRUZGMn/+fPPf27ZtIzg4mICAAPbv38+RI0cwGo2Eh4fj4uJCly5dqFu3Lq1atTK3qVGjBmFhYQwePBg3N7e79iEiIiIiIiIPT0nuPyxZsoR33nkn27GOHTsya9YsHB1vlu3p0qULYWFhzJw5E0dHR1xdXYmPjyc0NJR3332X6OhobG1tmTBhQrZ+6tSpQ926dZk8efJd+7hfNWos/+8PeweZmamPpF8REREREZHcYDDpG1lB9XEflLUW3n6cKAaWpfm3PMXA8hQDy1MMLEvzb3nWGgMbGwPFijne9fwTvZIbHx+Pj48PwcHBjBw50nz88OHDBAYGMm7cOL755htiYmIeqN9hw4YREhLCSy+9dN9t5s2bB0D79u0f6F4Pe78/DrYiIwfr5FZx3YHq44qIiIiIyJPuiU5yAZycnNiyZQtZWVnY2toCsHLlSpydnQEeOMEFGDNmzAO3eZjk9r/cT0RERERERG73xO+uXKhQIapWrcru3bvNx7Zt20a9evUAqFy5MgDbt28nKCiIoKAgunXrxqVLl0hOTqZHjx7m4xs2bAAgNDSUnTt3cu7cOTp16kRQUBBt2rRh3759AEyYMIEWLVoQGBjItGnTgJubU0VGRgLg4eHBhx9+SEBAACEhIebf2np7exMeHk5gYCCBgYEcOnQo2/1ERERERETkv3nik1wAX19f1qxZA0BcXByVK1fG3t4+2zXTp08nLCyM6Oho6tWrx6FDh1i3bh2lS5cmOjqaMWPGsGfPnmxtFi1aROPGjYmOjqZfv37s3buXP//8k82bN7Ns2TLmzZvH77//TlpaWrZ2ly5dwtXVldjYWJo3b87o0aPN5woWLMjSpUvp168fgwcPfkQzIiIiIiIiYp3yRJLr7e3N5s2bMRqNrFq1Cl9f39uu8fHxoU+fPowcOZIXX3wRT09PXF1dWb9+Pb169WL//v307t07WxsPDw+++uor3n33XZKSkujUqRMuLi44ODgQEhLCnDlzGDRoEA4ODtnaOTg4EBgYCECrVq2yrdK2a9fOPOaEhAQuXbqUw7MhIiIiIiJivfJEkluoUCGqVKnC3r172bFjh/lT5b/r2rUrUVFRlC1blokTJ/LZZ5/x3HPPsWrVKgICAtizZw9t2rTJVqv25ZdfZsWKFXh6erJy5Up69uyJnZ0dCxcupH///iQlJRESEsKJEyey3cvGxgaDwQCA0Wg0/1YYwM7u/34G/c9zIiIiIiIi8t888RtP3eLr60tERATVq1fPlkje0rZtW/73v//RtWtXnJyc2LBhA99++y1nzpzhgw8+oGHDhnh5eZGcnGxuEx4ejouLC126dKFu3bq0atWKQ4cOMWrUKKKiovDw8ODQoUO3JbkpKSn88MMPeHt7Ex0dTcOGDc3nVqxYQWhoKOvWraNixYoUKVLkoZ63YrUlD9XubjIz07CxMeRon3md5svyFAPL0vxbnmJgeYqB5SkGlqX5tzxrjMG/PXOeSXK9vLwYNmwY/fv3v+P5gQMHMmTIEOzs7ChYsCCjR4+mePHiDBw4kICAAGxtbXnvvfcoXLiwuU1oaCjvvvsu0dHR2NraMmHCBF588UVq1aqFv78/BQoUoHbt2jRs2JCDBw9mu9/q1auZNGkSJUuWZMKECebjP//8M4sWLaJAgQKMHz/+0UzGQ7Czc6BYMYd/v1DM7lWbS3KHYmBZmn/LUwwsTzGwPMXAsjT/lqcY3M5gMplMlh5EXlO5cmWOHj1623Fvb2/mzJlDmTJlLDAqERERERGRvC9P/CZXREREREREBLSSKyIiIiIiInmIVnJFREREREQkz1CSKyIiIiIiInmGklwRERERERHJM5TkioiIiIiISJ6hJFdERERERETyDCW5IiIiIiIikmcoyRUREREREZE8Q0nuEyY2NhY/Pz+aNm3K3LlzLT0cqxAaGkrz5s1p2bIlLVu25Ndff+Wnn34iICCApk2bMmnSJEsPMc9KTk7G39+f+Ph4gLvO++HDhwkKCqJZs2YMGzaMzMxMSw05T/nn/H/wwQc0bdrU/C6sW7cO0Pw/KtOmTaN58+Y0b96c8PBwQO9AbrtTDPQe5K4pU6bg5+dH8+bNmT17NqD3ILfdKQZ6D3LfhAkTGDJkCKB34L6Y5Ilx7tw5k5eXl+ny5cum69evmwICAkzHjh2z9LDyNKPRaPL09DRlZGSYj6WkpJgaNWpkOn36tCkjI8P0+uuvmzZu3GjBUeZN+/btM/n7+5uqVatmOnPmzD3nvXnz5qZffvnFZDKZTB988IFp7ty5Fhx53vDP+TeZTCZ/f39TQkLCbddq/nPetm3bTMHBwaa0tDRTenq6qXPnzqbY2Fi9A7noTjFYu3at3oNctHPnTlNISIgpIyPDlJKSYvLy8jIdPnxY70EuulMM/vjjD70Hueynn34y1a1b1zR48GD9e+g+aSX3CfLTTz/h7u6Ok5MTBQsWpFmzZqxevdrSw8rTjh8/DsDrr79OixYt+Pbbb4mLi6NcuXI8++yz2NnZERAQoDg8At9//z0fffQRJUuWBLjrvP/555+kpqZSq1YtAIKCghSPHPDP+U9JSeGvv/5i6NChBAQEMHXqVIxGo+b/ESlRogRDhgwhX7582NvbU7FiRU6ePKl3IBfdKQZ//fWX3oNc5Obmxpw5c7Czs+PixYtkZWVx9epVvQe56E4xyJ8/v96DXJSUlMSkSZPo2bMnoH8P3S8luU+QxMRESpQoYf67ZMmSJCQkWHBEed/Vq1fx8PDg008/5euvv2b+/Pn89ddfikMuGDNmDK+88or577v99/+fx0uUKKF45IB/zv+FCxdwd3dn7NixfP/99+zZs4dFixZp/h+RSpUqmf+hcvLkSVatWoXBYNA7kIvuFIMGDRroPchl9vb2TJ06lebNm+Ph4aH/W2AB/4xBZmam3oNc9OGHH/LOO+9QuHBhQP8eul9Kcp8gRqMRg8Fg/ttkMmX7W3Keq6sr4eHhPPXUUzg7O9OmTRumTp2qOFjA3f77r/cidzz77LN8+umnlCxZkgIFChAaGsqmTZs0/4/YsWPHeP3113n//fd59tln9Q5YwN9jUKFCBb0HFtCvXz+2b9/O2bNnOXnypN4DC/h7DLZv3673IJcsXLiQZ555Bg8PD/Mx/Xvo/thZegBy/55++mn27Nlj/vv8+fPmTwnl0dizZw8ZGRnm/+ViMpkoXbo058+fN1+jOOSOp59++o7z/s/jFy5cUDwegaNHj3Ly5EmaNWsG3HwX7OzsNP+P0N69e+nXrx9Dhw6lefPm7Nq1S+9ALvtnDPQe5K4//viD9PR0qlatSoECBWjatCmrV6/G1tbWfI3eg0frTjFYuXIlTk5Oeg9ywcqVKzl//jwtW7bkypUr3Lhxgz///FPvwH3QSu4TpF69emzfvp1Lly6RkpLC2rVradiwoaWHladdu3aN8PBw0tLSSE5OZsmSJQwcOJATJ05w6tQpsrKyWL58ueKQC2rWrHnHeS9dujQODg7s3bsXgJiYGMXjETCZTIwdO5YrV66QkZHBggULePXVVzX/j8jZs2fp3bs3H3/8Mc2bNwf0DuS2O8VA70Huio+PZ/jw4aSnp5Oens6GDRsICQnRe5CL7hSDOnXq6D3IJbNnz2b58uXExMTQr18/vL29mTVrlt6B+6CV3CeIi4sL77zzDp07dyYjI4M2bdpQo0YNSw8rT/Py8uLXX38lMDAQo9FIhw4dcHV1Zfz48fTt25e0tDQaNWrEa6+9Zumh5nkODg53nfePP/6Y4cOHk5ycTLVq1ejcubOFR5v3VKlShR49etC+fXsyMzNp2rQp/v7+gOb/Ufjyyy9JS0tj/Pjx5mMhISF6B3LR3WKg9yD3NGrUiLi4OAIDA7G1taVp06Y0b94cZ2dnvQe55E4x6NOnD0WLFtV7YCH699D9MZhMJpOlByEiIiIiIiKSE/S5soiIiIiIiOQZSnJFREREREQkz1CSKyIiIiIiInmGklwRERERERHJM5TkioiIiIiISJ6hJFdERMQK7Ny501zm42Fdu3btvkpS3O910dHRvPXWW/9pTCIiIv+kJFdERETuy5UrV9i/f3+OXSciIvIoKMkVERGxIidOnKBbt260a9cOLy8v3n77bdLS0hgzZgyTJ08GIDExkcqVK7Njxw4AYmJiGDBgAB988AGpqam0bNmSrKws9uzZQ7t27QgICCAoKIjNmzcD3HbdokWLaNu2LYGBgXh5efHdd99Z6vFFRMQKKMkVERGxIt9//z2BgYF8//33rF27lvj4eDZu3EjTpk3NSeqWLVsoUaIEP/30EwA//PADTZs2Zdy4ceTPn5+YmBiuXr1Kv379GDZsGLGxsUyYMIH33nuPM2fOZLsuNTWVhQsXMnPmTJYuXcqkSZOYOHGiJadARETyOCW5IiIiVuS9997D2dmZL774grCwMBITE7lx4wYvv/wyCQkJXLhwgS1btvD222+zbds20tPT2b17N40aNcrWT1xcHGXLlqVmzZoAVKpUidq1a7Nr165s1xUqVIjPP/+cTZs2MXnyZD7//HNu3LiRa88rIiLWR0muiIiIFRk4cCDff/89pUuXpmvXrlSrVg2TyYSNjQ2NGzdm06ZNxMXF0bZtW86fP8/q1atxdXWlUKFC2frJysrCYDBkO2YymcjMzMx27Ny5cwQGBvLnn3/y8ssvM2DAgEf9iCIiYuWU5IqIiFiRrVu30rt3b/z8/AD49ddfycrKAqBp06bMmjWLF154gXz58uHu7s4nn3xC06ZNAbCzsyMrKwuTyUStWrU4fvw4cXFxABw7dozdu3fj5uaW7boDBw7g7OxMr1698PT05McffwQw31NERCSn2Vl6ACIiIpJ73nnnHXr37k3BggVxdHSkTp06nD59GgAPDw8SExNp3749AJ6enqxcuRJvb28ASpQoQY0aNWjevDlz585lypQpjBo1itTUVAwGA+PGjaN8+fJkZWWZr5s9ezYuLi689tprGAwG3NzccHZ25tSpUxabAxERydsMJpPJZOlBiIiIiIiIiOQEfa4sIiIiIiIieYaSXBEREREREckzlOSKiIiIiIhInqEkV0RERERERPIMJbkiIiIiIiKSZyjJFRERERERkTxDSa6IiIiIiIjkGf8Pwn6DoSGAKqUAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(x='lawtotal', y='state', data=df_laws, palette='viridis');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "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>state</th>\n",
       "      <th>counts</th>\n",
       "      <th>felony</th>\n",
       "      <th>invcommitment</th>\n",
       "      <th>invoutpatient</th>\n",
       "      <th>danger</th>\n",
       "      <th>drugmisdemeanor</th>\n",
       "      <th>alctreatment</th>\n",
       "      <th>alcoholism</th>\n",
       "      <th>relinquishment</th>\n",
       "      <th>...</th>\n",
       "      <th>expartedating</th>\n",
       "      <th>dvrosurrender</th>\n",
       "      <th>dvrosurrendernoconditions</th>\n",
       "      <th>dvrosurrenderdating</th>\n",
       "      <th>expartesurrender</th>\n",
       "      <th>expartesurrendernoconditions</th>\n",
       "      <th>expartesurrenderdating</th>\n",
       "      <th>dvroremoval</th>\n",
       "      <th>stalking</th>\n",
       "      <th>lawtotal</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Illinois</td>\n",
       "      <td>16695</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>California</td>\n",
       "      <td>15171</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Florida</td>\n",
       "      <td>14197</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Texas</td>\n",
       "      <td>12890</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Ohio</td>\n",
       "      <td>9643</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>63</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 137 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        state  counts  felony  invcommitment  invoutpatient  danger  \\\n",
       "0    Illinois   16695       4              4              4       4   \n",
       "1  California   15171       4              4              0       4   \n",
       "2     Florida   14197       4              0              0       0   \n",
       "3       Texas   12890       4              0              0       0   \n",
       "4        Ohio    9643       0              4              0       4   \n",
       "\n",
       "   drugmisdemeanor  alctreatment  alcoholism  relinquishment  ...  \\\n",
       "0                4             0           0               4  ...   \n",
       "1                0             0           4               0  ...   \n",
       "2                0             0           0               0  ...   \n",
       "3                0             0           0               0  ...   \n",
       "4                0             0           4               0  ...   \n",
       "\n",
       "   expartedating  dvrosurrender  dvrosurrendernoconditions  \\\n",
       "0              4              4                          4   \n",
       "1              4              4                          4   \n",
       "2              0              0                          0   \n",
       "3              4              0                          0   \n",
       "4              0              0                          0   \n",
       "\n",
       "   dvrosurrenderdating  expartesurrender  expartesurrendernoconditions  \\\n",
       "0                    4                 4                             4   \n",
       "1                    4                 4                             4   \n",
       "2                    0                 0                             0   \n",
       "3                    0                 0                             0   \n",
       "4                    0                 0                             0   \n",
       "\n",
       "   expartesurrenderdating  dvroremoval  stalking  lawtotal  \n",
       "0                       4            0         4       260  \n",
       "1                       4            4         4       412  \n",
       "2                       0            0         0        84  \n",
       "3                       0            0         0        76  \n",
       "4                       0            0         0        63  \n",
       "\n",
       "[5 rows x 137 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_state_laws = pd.merge(df_state, df_laws, how='inner', on='state')\n",
    "df_state_laws = df_state_laws.drop(['year'], axis=1)\n",
    "df_state_laws.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "stat=-0.183, p=0.204\n",
      "There is not enough evidence to reject H0. Probably independent\n"
     ]
    }
   ],
   "source": [
    "states_population = pd.read_csv('us_states_census.csv')\n",
    "df_pop = states_population.loc[:,['state', '2014', '2015', '2016', '2017']]\n",
    "df_pop['population'] = df_pop[['2014', '2015', '2016', '2017']].mean(axis=1)\n",
    "df_pop = df_pop.drop(['2014', '2015', '2016', '2017'], axis=1)\n",
    "df_pop.at[8,'state']='Columbia'\n",
    "df_states = pd.merge(df_state_laws, df_pop, how='inner', on='state')\n",
    "df_states\n",
    "df_states['per_counts'] = 10000 * df_states['counts']/df_states['population']\n",
    "# df_states.to_csv('df_states.csv', sep=',')\n",
    "# df_states.head()\n",
    "stat, p = scipy.stats.pearsonr(df_states['per_counts'], df_states['lawtotal'])\n",
    "print('stat=%.3f, p=%.3f' % (stat, p))\n",
    "if p > 0.05:\n",
    "\tprint('There is not enough evidence to reject H0. Probably independent')\n",
    "else:\n",
    "\tprint('There is enough evidence to reject H0. Probably dependent')\n",
    "# law_tatoal vs. gun_violence_counts per 10000 people"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style('white')\n",
    "ax = sns.lmplot(x=\"per_counts\", y=\"lawtotal\", data=df_states, scatter_kws={'s': 6}, legend=True)\n",
    "ax.set(ylabel=\"Gun Laws\")\n",
    "ax.set(xlabel=\"Gun Violence per 10,000 people\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Hypothesis Testing\n",
    "\n",
    "The hypothesis that we will be testing is that states with more strict gun laws have a smaller amount of gun violence indicidents compared to states with less strict gun laws.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "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>state</th>\n",
       "      <th>year</th>\n",
       "      <th>lawtotal</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Alabama</td>\n",
       "      <td>1991</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Alabama</td>\n",
       "      <td>1992</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Alabama</td>\n",
       "      <td>1993</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Alabama</td>\n",
       "      <td>1994</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Alabama</td>\n",
       "      <td>1995</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     state  year  lawtotal\n",
       "0  Alabama  1991        15\n",
       "1  Alabama  1992        16\n",
       "2  Alabama  1993        16\n",
       "3  Alabama  1994        16\n",
       "4  Alabama  1995        16"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#gunlaws = pd.read_csv(\"gun_laws.csv\")\n",
    "gun_laws = pd.DataFrame(data = laws_data,columns=['state', 'year', 'lawtotal'])\n",
    "# gun_laws = pd.DataFrame(data = gunlaws,columns=['state', 'year', 'lawtotal'])\n",
    "\n",
    "gun_laws.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x1080 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_state = gun_data.groupby(['state']).size().reset_index(name='counts')\n",
    "df_state = df_state.sort_values(by='counts', ascending=False)\n",
    "sns.set(rc = {'figure.figsize':(20,15)})\n",
    "sns.barplot(x='counts', y='state', data=df_state, palette='viridis').set(title=\"Gun Violence Count by State\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x1080 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_laws = gun_laws.sort_values(by='lawtotal', ascending=False)\n",
    "sns.set(rc = {'figure.figsize':(20,15)})\n",
    "sns.barplot(x='lawtotal', y='state', data=df_laws, palette='viridis').set(title=\"Gun Laws by State\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looking at the visualizations, Illinois has the highest gun violence incidents and Hawaii has the least number of incidents. However, the population difference is very large. Michigan's population is closer to Illinois' population, so we will compare those two states.\n"
   ]
  },
  {
   "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>state</th>\n",
       "      <th>counts</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Illinois</td>\n",
       "      <td>17556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Michigan</td>\n",
       "      <td>6136</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       state  counts\n",
       "13  Illinois   17556\n",
       "22  Michigan    6136"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_state_inc = pd.DataFrame(df_state[df_state['state'] == 'Illinois'])\n",
    "low_state_inc = pd.DataFrame(df_state[df_state['state'] =='Michigan'])\n",
    "\n",
    "list_states_inc = [top_state_inc, low_state_inc]\n",
    "stats_inc = pd.concat(list_states_inc)\n",
    "\n",
    "stats_inc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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>state</th>\n",
       "      <th>year</th>\n",
       "      <th>lawtotal</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>387</th>\n",
       "      <td>Illinois</td>\n",
       "      <td>2018</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>657</th>\n",
       "      <td>Michigan</td>\n",
       "      <td>2018</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        state  year  lawtotal\n",
       "387  Illinois  2018        65\n",
       "657  Michigan  2018        21"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_state_law = pd.DataFrame(gun_laws[gun_laws['state'] == 'Illinois'])\n",
    "top_state_law = top_state_law[top_state_law['year'] == 2018]\n",
    "low_state_law = pd.DataFrame(gun_laws[gun_laws['state'] =='Michigan'])\n",
    "low_state_law = low_state_law[low_state_law['year'] == 2018]\n",
    "\n",
    "list_states_laws = [top_state_law, low_state_law]\n",
    "stats_laws = pd.concat(list_states_laws)\n",
    "\n",
    "stats_laws\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Hypothesis Results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 1.0, 'Number of Incidents in Illinois v Michigan')]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(rc = {'figure.figsize':(10,6)})\n",
    "sns.barplot(data=stats_inc, x=\"state\", y=\"counts\").set(title=\"Number of Incidents in Illinois v Michigan\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 1.0, 'Number of Gun Laws in Illinois v Michigan')]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(rc = {'figure.figsize':(10,6)})\n",
    "sns.barplot(data=stats_laws, x=\"state\", y=\"lawtotal\").set(title=\"Number of Gun Laws in Illinois v Michigan\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Our hypothesis is incorrect. Illinois has the highest number of gun-related incidents, but a higher number of gun laws. Michigan has a lower number of gun-related incidents, and a lower number of gun laws. Given that our hypothesis was that states with low gun-reated incidents have higher gun laws, and vice versa, our hypothesis was incorrect. "
   ]
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "87eb1506ace0c76867aaab3383ec0484b429857f88291368ffd3c4acf06de760"
  },
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}