{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Formula 1 - 2019 Season Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### **Welcome to 2019 Season Analysis of Formula 1 Championship!**\n",
    "\n",
    "**Here, we are going to tackle many aspects for how the season progressed and completed with 20 drivers, 10 teams and 21 race tracks throughout.**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We already know that British driver **Lewis Hamilton** clinched the championship title this season, which is his **6th** time in total. Plus, **Mercedes** won the constructor's title, **6th** time in a row! But, what about other teams? Like Ferrari, Red-Bull, McLaren, Renault... And, drivers? Like Vettel, Verstappen, Bottas, Leclerc, Raikkönen? How well did they perform this season with their drivers in the tracks? Is there any interesting results that we overlooked? All right then, we're going to find out here."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First of all, let's load the necessary modules and datasets to begin the analysis:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "f1_2019results = pd.read_csv(\"formula1_2019season_raceResults.csv\")\n",
    "f1_2019drivers = pd.read_csv(\"formula1_2019season_drivers.csv\")\n",
    "f1_2019tracks = pd.read_csv(\"formula1_2019season_tracks.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The first question is to inspect **all drivers and teams** raced in 2019 season."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>Driver</th>\n",
       "      <th>Number</th>\n",
       "      <th>Team</th>\n",
       "      <th>Country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>44</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Valtteri Bottas</td>\n",
       "      <td>77</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>Finland</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>33</td>\n",
       "      <td>Red Bull Racing</td>\n",
       "      <td>Netherlands</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>16</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>Monaco</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Sebastian Vettel</td>\n",
       "      <td>5</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>Germany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Carlos Sainz</td>\n",
       "      <td>55</td>\n",
       "      <td>McLaren</td>\n",
       "      <td>Spain</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Pierre Gasly</td>\n",
       "      <td>10</td>\n",
       "      <td>Toro Rosso</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Alexander Albon</td>\n",
       "      <td>23</td>\n",
       "      <td>Red Bull Racing</td>\n",
       "      <td>Thailand</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Daniel Ricciardo</td>\n",
       "      <td>3</td>\n",
       "      <td>Renault</td>\n",
       "      <td>Australia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Sergio Perez</td>\n",
       "      <td>11</td>\n",
       "      <td>Racing Point</td>\n",
       "      <td>Mexico</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Lando Norris</td>\n",
       "      <td>4</td>\n",
       "      <td>McLaren</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Kimi Raikkönen</td>\n",
       "      <td>7</td>\n",
       "      <td>Alfa Romeo</td>\n",
       "      <td>Finland</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Daniil Kvyat</td>\n",
       "      <td>26</td>\n",
       "      <td>Toro Rosso</td>\n",
       "      <td>Russian Federation</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Nico Hulkenberg</td>\n",
       "      <td>27</td>\n",
       "      <td>Renault</td>\n",
       "      <td>Germany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Lance Stroll</td>\n",
       "      <td>18</td>\n",
       "      <td>Racing Point</td>\n",
       "      <td>Canada</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Kevin Magnussen</td>\n",
       "      <td>20</td>\n",
       "      <td>Haas</td>\n",
       "      <td>Denmark</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Antonio Giovinazzi</td>\n",
       "      <td>99</td>\n",
       "      <td>Alfa Romeo</td>\n",
       "      <td>Italy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Romain Grosjean</td>\n",
       "      <td>8</td>\n",
       "      <td>Haas</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Robert Kubica</td>\n",
       "      <td>88</td>\n",
       "      <td>Williams</td>\n",
       "      <td>Poland</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>George Russell</td>\n",
       "      <td>63</td>\n",
       "      <td>Williams</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Driver  Number             Team             Country\n",
       "0       Lewis Hamilton      44         Mercedes      United Kingdom\n",
       "1      Valtteri Bottas      77         Mercedes             Finland\n",
       "2       Max Verstappen      33  Red Bull Racing         Netherlands\n",
       "3      Charles Leclerc      16          Ferrari              Monaco\n",
       "4     Sebastian Vettel       5          Ferrari             Germany\n",
       "5         Carlos Sainz      55          McLaren               Spain\n",
       "6         Pierre Gasly      10       Toro Rosso              France\n",
       "7      Alexander Albon      23  Red Bull Racing            Thailand\n",
       "8     Daniel Ricciardo       3          Renault           Australia\n",
       "9         Sergio Perez      11     Racing Point              Mexico\n",
       "10        Lando Norris       4          McLaren      United Kingdom\n",
       "11      Kimi Raikkönen       7       Alfa Romeo             Finland\n",
       "12        Daniil Kvyat      26       Toro Rosso  Russian Federation\n",
       "13     Nico Hulkenberg      27          Renault             Germany\n",
       "14        Lance Stroll      18     Racing Point              Canada\n",
       "15     Kevin Magnussen      20             Haas             Denmark\n",
       "16  Antonio Giovinazzi      99       Alfa Romeo               Italy\n",
       "17     Romain Grosjean       8             Haas              France\n",
       "18       Robert Kubica      88         Williams              Poland\n",
       "19      George Russell      63         Williams      United Kingdom"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f1_2019drivers.loc[:,'Driver':'Country']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Mercedes' 'Red Bull Racing' 'Ferrari' 'McLaren' 'Toro Rosso' 'Renault'\n",
      " 'Racing Point' 'Alfa Romeo' 'Haas' 'Williams']\n"
     ]
    }
   ],
   "source": [
    "print(f1_2019drivers['Team'].unique())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So, there are 20 drivers and, of course, 10 teams that competed in 2019 season. Next, let's see **all 21 tracks** and when they were held:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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>Country</th>\n",
       "      <th>City</th>\n",
       "      <th>Circuit Name</th>\n",
       "      <th>Date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Australia</td>\n",
       "      <td>Melbourne</td>\n",
       "      <td>Albert Park Circuit</td>\n",
       "      <td>17 Mar 2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Bahrain</td>\n",
       "      <td>Sakhir</td>\n",
       "      <td>Bahrain International Circuit</td>\n",
       "      <td>31 Mar 2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>China</td>\n",
       "      <td>Shanghai</td>\n",
       "      <td>Shanghai International Circuit</td>\n",
       "      <td>14 Apr 2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Azerbaijan</td>\n",
       "      <td>Baku</td>\n",
       "      <td>Baku City Circuit</td>\n",
       "      <td>28 Apr 2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Spain</td>\n",
       "      <td>Catalunya</td>\n",
       "      <td>Circuit de Barcelona-Catalunya</td>\n",
       "      <td>12 May 2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Monaco</td>\n",
       "      <td>Monte Carlo</td>\n",
       "      <td>Circuit de Monaco</td>\n",
       "      <td>26 May 2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Canada</td>\n",
       "      <td>Montréal</td>\n",
       "      <td>Circuit Gilles-Villeneuve</td>\n",
       "      <td>9 Jun 2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>France</td>\n",
       "      <td>La Castellet</td>\n",
       "      <td>Circuit Paul Ricard</td>\n",
       "      <td>23 Jun 2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Austria</td>\n",
       "      <td>Spielberg</td>\n",
       "      <td>Red Bull Ring</td>\n",
       "      <td>30 Jun 2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Great Britain</td>\n",
       "      <td>Silverstone</td>\n",
       "      <td>Silverstone Circuit</td>\n",
       "      <td>14 Jul 2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Germany</td>\n",
       "      <td>Hockenheim</td>\n",
       "      <td>Hockenheimring</td>\n",
       "      <td>28 Jul 2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Hungary</td>\n",
       "      <td>Budapest</td>\n",
       "      <td>Hungaroring</td>\n",
       "      <td>4 Aug 2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Belgium</td>\n",
       "      <td>Spa-Francorchamps</td>\n",
       "      <td>Circuit de Spa-Francorchamps</td>\n",
       "      <td>1 Sep 2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Italy</td>\n",
       "      <td>Monza</td>\n",
       "      <td>Autodromo Nazionale Monza</td>\n",
       "      <td>8 Sep 2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Singapore</td>\n",
       "      <td>Singapore</td>\n",
       "      <td>Marina Bay Street Circuit</td>\n",
       "      <td>22 Sep 2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Russia</td>\n",
       "      <td>Sochi</td>\n",
       "      <td>Sochi Autodrom</td>\n",
       "      <td>29 Sep 2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Japan</td>\n",
       "      <td>Suzuka</td>\n",
       "      <td>Suzuka International Racing Course</td>\n",
       "      <td>13 Oct 2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Mexico</td>\n",
       "      <td>Mexico City</td>\n",
       "      <td>Autodromo Hermanos Rodriguez</td>\n",
       "      <td>27 Oct 2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>United States</td>\n",
       "      <td>Austin</td>\n",
       "      <td>Circuit of The Americas</td>\n",
       "      <td>3 Nov 2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Brazil</td>\n",
       "      <td>Sao Paulo</td>\n",
       "      <td>Autodromo Jose Carlos Pace</td>\n",
       "      <td>17 Nov 2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Abu Dhabi</td>\n",
       "      <td>Yas Island</td>\n",
       "      <td>Yas Marina Circuit</td>\n",
       "      <td>1 Dec 2019</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Country               City                        Circuit Name  \\\n",
       "0       Australia          Melbourne                 Albert Park Circuit   \n",
       "1         Bahrain             Sakhir       Bahrain International Circuit   \n",
       "2           China           Shanghai      Shanghai International Circuit   \n",
       "3      Azerbaijan               Baku                   Baku City Circuit   \n",
       "4           Spain          Catalunya      Circuit de Barcelona-Catalunya   \n",
       "5          Monaco        Monte Carlo                   Circuit de Monaco   \n",
       "6          Canada           Montréal           Circuit Gilles-Villeneuve   \n",
       "7          France       La Castellet                 Circuit Paul Ricard   \n",
       "8         Austria          Spielberg                       Red Bull Ring   \n",
       "9   Great Britain        Silverstone                 Silverstone Circuit   \n",
       "10        Germany         Hockenheim                      Hockenheimring   \n",
       "11        Hungary           Budapest                         Hungaroring   \n",
       "12        Belgium  Spa-Francorchamps        Circuit de Spa-Francorchamps   \n",
       "13          Italy              Monza           Autodromo Nazionale Monza   \n",
       "14      Singapore          Singapore           Marina Bay Street Circuit   \n",
       "15         Russia              Sochi                      Sochi Autodrom   \n",
       "16          Japan             Suzuka  Suzuka International Racing Course   \n",
       "17         Mexico        Mexico City        Autodromo Hermanos Rodriguez   \n",
       "18  United States             Austin             Circuit of The Americas   \n",
       "19         Brazil          Sao Paulo          Autodromo Jose Carlos Pace   \n",
       "20      Abu Dhabi         Yas Island                  Yas Marina Circuit   \n",
       "\n",
       "           Date  \n",
       "0   17 Mar 2019  \n",
       "1   31 Mar 2019  \n",
       "2   14 Apr 2019  \n",
       "3   28 Apr 2019  \n",
       "4   12 May 2019  \n",
       "5   26 May 2019  \n",
       "6    9 Jun 2019  \n",
       "7   23 Jun 2019  \n",
       "8   30 Jun 2019  \n",
       "9   14 Jul 2019  \n",
       "10  28 Jul 2019  \n",
       "11   4 Aug 2019  \n",
       "12   1 Sep 2019  \n",
       "13   8 Sep 2019  \n",
       "14  22 Sep 2019  \n",
       "15  29 Sep 2019  \n",
       "16  13 Oct 2019  \n",
       "17  27 Oct 2019  \n",
       "18   3 Nov 2019  \n",
       "19  17 Nov 2019  \n",
       "20   1 Dec 2019  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f1_2019tracks.loc[:, 'Country':'Date']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, let's do some analysis on drivers for their F1 careers in lifetime. Here, we assume the information provided in the related dataset contains up to and including the 2019 season.\n",
    "\n",
    "Who are the drivers in the grid that have already become **world champion**?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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>Driver</th>\n",
       "      <th>Team</th>\n",
       "      <th>World Championships</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Sebastian Vettel</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Kimi Raikkönen</td>\n",
       "      <td>Alfa Romeo</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Driver        Team  World Championships\n",
       "0     Lewis Hamilton    Mercedes                    6\n",
       "4   Sebastian Vettel     Ferrari                    4\n",
       "11    Kimi Raikkönen  Alfa Romeo                    1"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "world_champions = f1_2019drivers[f1_2019drivers['World Championships'] != 0]\n",
    "world_champions[['Driver', 'Team', 'World Championships']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ah, only **3** drivers out there with a total of **11** world championships. I do remember that Kimi Raikkönen won the title in 2007 when he was driving for Ferrari. Sebastian Vettel claimed these from 2010 to 2013 while at Red-Bull Racing. And, Lewis Hamilton had the titles in 2008 with McLaren; in 2014, 2015, 2017, 2018 and 2019 with Mercedes. Notice that 2016's title was won by **Nico Rosberg** who was the teammate of Hamilton in the same team.\n",
    "\n",
    "OK, who are the drivers that haven't started in **pole position** in their careers yet?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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>Driver</th>\n",
       "      <th>Team</th>\n",
       "      <th>Highest Grid Position</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Lance Stroll</td>\n",
       "      <td>Racing Point</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Romain Grosjean</td>\n",
       "      <td>Haas</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Pierre Gasly</td>\n",
       "      <td>Toro Rosso</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Sergio Perez</td>\n",
       "      <td>Racing Point</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Daniil Kvyat</td>\n",
       "      <td>Toro Rosso</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Kevin Magnussen</td>\n",
       "      <td>Haas</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Carlos Sainz</td>\n",
       "      <td>McLaren</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Alexander Albon</td>\n",
       "      <td>Red Bull Racing</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Lando Norris</td>\n",
       "      <td>McLaren</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Antonio Giovinazzi</td>\n",
       "      <td>Alfa Romeo</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>George Russell</td>\n",
       "      <td>Williams</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Driver             Team  Highest Grid Position\n",
       "14        Lance Stroll     Racing Point                      2\n",
       "17     Romain Grosjean             Haas                      2\n",
       "6         Pierre Gasly       Toro Rosso                      4\n",
       "9         Sergio Perez     Racing Point                      4\n",
       "12        Daniil Kvyat       Toro Rosso                      4\n",
       "15     Kevin Magnussen             Haas                      4\n",
       "5         Carlos Sainz          McLaren                      5\n",
       "7      Alexander Albon  Red Bull Racing                      5\n",
       "10        Lando Norris          McLaren                      5\n",
       "16  Antonio Giovinazzi       Alfa Romeo                      7\n",
       "19      George Russell         Williams                     14"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "no_pole_pos = f1_2019drivers[f1_2019drivers['Highest Grid Position'] != 1]\n",
    "no_pole_pos = no_pole_pos.sort_values('Highest Grid Position')\n",
    "no_pole_pos[['Driver', 'Team', 'Highest Grid Position']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Whoa, there are lots of them, especially those whose highest grid are **4th** and **5th**! But, if we look at in the optimistic way, many drivers were close to start from the front row in such a race weekend, where Lance Stroll and Romain Grosjean already achieved that in their careers.\n",
    "\n",
    "Now, which the drivers have stepped up to the **podium** at least 10 times in their careers?"
   ]
  },
  {
   "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>Driver</th>\n",
       "      <th>Team</th>\n",
       "      <th>Podiums</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Sebastian Vettel</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Kimi Raikkönen</td>\n",
       "      <td>Alfa Romeo</td>\n",
       "      <td>103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Valtteri Bottas</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Daniel Ricciardo</td>\n",
       "      <td>Renault</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Robert Kubica</td>\n",
       "      <td>Williams</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Romain Grosjean</td>\n",
       "      <td>Haas</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Driver             Team  Podiums\n",
       "0     Lewis Hamilton         Mercedes      151\n",
       "4   Sebastian Vettel          Ferrari      120\n",
       "11    Kimi Raikkönen       Alfa Romeo      103\n",
       "1    Valtteri Bottas         Mercedes       45\n",
       "2     Max Verstappen  Red Bull Racing       31\n",
       "8   Daniel Ricciardo          Renault       29\n",
       "18     Robert Kubica         Williams       12\n",
       "3    Charles Leclerc          Ferrari       10\n",
       "17   Romain Grosjean             Haas       10"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "podiums = f1_2019drivers[f1_2019drivers['Podiums'] >= 10]\n",
    "podiums = podiums.sort_values('Podiums', ascending=False)\n",
    "podiums[['Driver', 'Team', 'Podiums']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Well, it is certain to infer that drivers with championship titles have already exceeded 100 podiums! Bottas, Verstappen, Ricciardo are coming after them (but with a big gap behind). One thing attracts attention here, where **Charles Leclerc** has achieved to get 10 podium through his first season in Ferrari!\n",
    "\n",
    "Now, which drivers have **won a race** but not more than 10 times in their careers?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_highest_finish(text):\n",
    "    ind = text.index('(')\n",
    "    res = text[:ind]\n",
    "    return res\n",
    "\n",
    "def get_hf_amount(text):\n",
    "    ind1 = text.index('x')\n",
    "    ind2 = text.index(')')\n",
    "    res = text[ind1+1:ind2]\n",
    "    return res"
   ]
  },
  {
   "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>Driver</th>\n",
       "      <th>Team</th>\n",
       "      <th>HF Amount</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Valtteri Bottas</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Daniel Ricciardo</td>\n",
       "      <td>Renault</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Robert Kubica</td>\n",
       "      <td>Williams</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Driver             Team  HF Amount\n",
       "2     Max Verstappen  Red Bull Racing          8\n",
       "1    Valtteri Bottas         Mercedes          7\n",
       "8   Daniel Ricciardo          Renault          7\n",
       "3    Charles Leclerc          Ferrari          2\n",
       "18     Robert Kubica         Williams          1"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f1_2019drivers['Highest Finish'] = f1_2019drivers['Highest Race Finish'].apply(get_highest_finish).astype('int')\n",
    "f1_2019drivers['HF Amount'] = f1_2019drivers['Highest Race Finish'].apply(get_hf_amount).astype('int')\n",
    "drivers_lt10wins = f1_2019drivers[(f1_2019drivers['Highest Finish'] == 1) & (f1_2019drivers['HF Amount'] <= 10)]\n",
    "drivers_lt10wins = drivers_lt10wins.sort_values('HF Amount', ascending=False)\n",
    "drivers_lt10wins[['Driver', 'Team', 'HF Amount']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ah yes, there are some remarkable results as well, such that Charles Leclerc in Ferrari scored **2 wins** in 2019 season. Bottas, Ricciardo and Verstappen are on their ways to reach the double digit. But, when did Kubica win a race which is still single in his career? It must have been about 10 years ago I suppose.\n",
    "\n",
    "OK, it is time for some **visualization**! Let me plot the career points, podiums and grand prix entries for all drivers:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x432 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f1_2019drivers['Driver Surname'] = f1_2019drivers['Driver'].apply(lambda x: x.split(' ')[1])\n",
    "plt.style.use('seaborn')\n",
    "f1_2019drivers_podiums = f1_2019drivers[['Podiums', 'Driver Surname']].sort_values('Podiums').reset_index()\n",
    "f1_2019drivers_points = f1_2019drivers[['Points', 'Driver Surname']].sort_values('Points').reset_index()\n",
    "f1_2019drivers_GPentered = f1_2019drivers[['Grands Prix Entered', 'Driver Surname']].sort_values('Grands Prix Entered').reset_index()\n",
    "plt.figure(figsize=(13, 6))\n",
    "plt.subplot(1, 3, 1)\n",
    "plt.barh(f1_2019drivers_podiums['Driver Surname'], f1_2019drivers_podiums['Podiums'], color='#00bbff')\n",
    "plt.title('F1 Drivers Career Podiums')\n",
    "plt.xlabel('# of Podiums')\n",
    "plt.ylabel('Drivers')\n",
    "for i in range(20):\n",
    "    plt.text(4, i-0.2, f1_2019drivers_podiums.loc[i,'Podiums'])\n",
    "plt.subplot(1, 3, 2)\n",
    "plt.barh(f1_2019drivers_points['Driver Surname'], f1_2019drivers_points['Points'], color='#bbcc33')\n",
    "plt.title('F1 Drivers Career Points')\n",
    "plt.xlabel('Total Points')\n",
    "for i in range(20):\n",
    "    plt.text(50, i-0.2, f1_2019drivers_points.loc[i, 'Points'])\n",
    "plt.subplot(1, 3, 3)\n",
    "plt.barh(f1_2019drivers_GPentered['Driver Surname'], f1_2019drivers_GPentered['Grands Prix Entered'], color='#ffaa00')\n",
    "plt.title('F1 Drivers Grands Prix Entries')\n",
    "plt.xlabel('# of GP Entries')\n",
    "for i in range(20):\n",
    "    plt.text(8, i-0.2, f1_2019drivers_GPentered.loc[i, 'Grands Prix Entered'])\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Well, according to these numbers and columns above, what about their **correlations**?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x360 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(14,5))\n",
    "plt.subplot(1, 3, 1)\n",
    "plt.scatter(f1_2019drivers['Podiums'], f1_2019drivers['Points'], marker='d', color='red', s=100, alpha=0.5)\n",
    "plt.xlabel('Podiums')\n",
    "plt.ylabel('Points')\n",
    "plt.subplot(1, 3, 2)\n",
    "plt.scatter(f1_2019drivers['Podiums'], f1_2019drivers['Grands Prix Entered'], marker='d', color='green', s=100, alpha=0.5)\n",
    "plt.xlabel('Podiums')\n",
    "plt.ylabel('GP Entered')\n",
    "plt.subplot(1, 3, 3)\n",
    "plt.scatter(f1_2019drivers['Grands Prix Entered'], f1_2019drivers['Points'], marker='d', color='blue', s=100, alpha=0.5)\n",
    "plt.xlabel('GP Entered')\n",
    "plt.ylabel('Points')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Yeah, all of them are **positively** correlative! And, in numbers:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Podiums-Points Correlation: 0.9797\n",
      "Podiums-GP Entries Correlation: 0.7777\n",
      "GP Entries-Points Correlation: 0.7964\n"
     ]
    }
   ],
   "source": [
    "podiums = f1_2019drivers['Podiums'].values\n",
    "points = f1_2019drivers['Points'].values\n",
    "gp_entered = f1_2019drivers['Grands Prix Entered'].values\n",
    "print(\"Podiums-Points Correlation: {:.4}\".format(np.corrcoef(podiums, points)[0,1]))\n",
    "print(\"Podiums-GP Entries Correlation: {:.4}\".format(np.corrcoef(podiums, gp_entered)[0,1]))\n",
    "print(\"GP Entries-Points Correlation: {:.4}\".format(np.corrcoef(gp_entered, points)[0,1]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From these numbers, this means, for example, that any driver who gets podiums can accumulate points in approximately the same ratio. Similar interepretations could be applied to others as well, but with slightly less correlation.\n",
    "\n",
    "OK, that's enough for drivers; **let's move on to race tracks...**\n",
    "\n",
    "Which ones' **lap records** have been broken in 2019 season?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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>Country</th>\n",
       "      <th>City</th>\n",
       "      <th>Circuit Name</th>\n",
       "      <th>Lap Record</th>\n",
       "      <th>Record Owner</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Azerbaijan</td>\n",
       "      <td>Baku</td>\n",
       "      <td>Baku City Circuit</td>\n",
       "      <td>1:43.009</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Canada</td>\n",
       "      <td>Montréal</td>\n",
       "      <td>Circuit Gilles-Villeneuve</td>\n",
       "      <td>1:13.078</td>\n",
       "      <td>Valtteri Bottas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>France</td>\n",
       "      <td>La Castellet</td>\n",
       "      <td>Circuit Paul Ricard</td>\n",
       "      <td>1:32.740</td>\n",
       "      <td>Sebastian Vettel</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Great Britain</td>\n",
       "      <td>Silverstone</td>\n",
       "      <td>Silverstone Circuit</td>\n",
       "      <td>1:27.369</td>\n",
       "      <td>Lewis Hamilton</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Hungary</td>\n",
       "      <td>Budapest</td>\n",
       "      <td>Hungaroring</td>\n",
       "      <td>1:17.103</td>\n",
       "      <td>Max Verstappen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Russia</td>\n",
       "      <td>Sochi</td>\n",
       "      <td>Sochi Autodrom</td>\n",
       "      <td>1:35.761</td>\n",
       "      <td>Lewis Hamilton</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Japan</td>\n",
       "      <td>Suzuka</td>\n",
       "      <td>Suzuka International Racing Course</td>\n",
       "      <td>1:30.983</td>\n",
       "      <td>Lewis Hamilton</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>United States</td>\n",
       "      <td>Austin</td>\n",
       "      <td>Circuit of The Americas</td>\n",
       "      <td>1:36.169</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Abu Dhabi</td>\n",
       "      <td>Yas Island</td>\n",
       "      <td>Yas Marina Circuit</td>\n",
       "      <td>1:39.283</td>\n",
       "      <td>Lewis Hamilton</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Country          City                        Circuit Name  \\\n",
       "3      Azerbaijan          Baku                   Baku City Circuit   \n",
       "6          Canada      Montréal           Circuit Gilles-Villeneuve   \n",
       "7          France  La Castellet                 Circuit Paul Ricard   \n",
       "9   Great Britain   Silverstone                 Silverstone Circuit   \n",
       "11        Hungary      Budapest                         Hungaroring   \n",
       "15         Russia         Sochi                      Sochi Autodrom   \n",
       "16          Japan        Suzuka  Suzuka International Racing Course   \n",
       "18  United States        Austin             Circuit of The Americas   \n",
       "20      Abu Dhabi    Yas Island                  Yas Marina Circuit   \n",
       "\n",
       "   Lap Record      Record Owner  \n",
       "3    1:43.009   Charles Leclerc  \n",
       "6    1:13.078   Valtteri Bottas  \n",
       "7    1:32.740  Sebastian Vettel  \n",
       "9    1:27.369    Lewis Hamilton  \n",
       "11   1:17.103    Max Verstappen  \n",
       "15   1:35.761    Lewis Hamilton  \n",
       "16   1:30.983    Lewis Hamilton  \n",
       "18   1:36.169   Charles Leclerc  \n",
       "20   1:39.283    Lewis Hamilton  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lap_records_broken = f1_2019tracks[f1_2019tracks['Record Year'] == 2019]\n",
    "lap_records_broken[['Country', 'City', 'Circuit Name', 'Lap Record', 'Record Owner']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Oh, man! **9 different tracks** that have their lap records broken this season! Can you believe it? Well, thanks to the latest technology, power unit, aerodynamics, suspension, efficiency in high speeds and cornering, now F1 cars have become faster than ever! Perhaps, much more improved lap times will draw near for several race tracks...\n",
    "\n",
    "_By the way, I wonder how these will change overall when 2021 Season arrives that there will be substantial revolution on F1 cars._\n",
    "\n",
    "However, there are still some tracks such that their lap times haven't been improved **for more than 10 years**. Do you wonder what they are?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "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>Country</th>\n",
       "      <th>City</th>\n",
       "      <th>Circuit Name</th>\n",
       "      <th>Lap Record</th>\n",
       "      <th>Record Owner</th>\n",
       "      <th>Record Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Australia</td>\n",
       "      <td>Melbourne</td>\n",
       "      <td>Albert Park Circuit</td>\n",
       "      <td>1:24.125</td>\n",
       "      <td>Michael Schumacher</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Bahrain</td>\n",
       "      <td>Sakhir</td>\n",
       "      <td>Bahrain International Circuit</td>\n",
       "      <td>1:31.447</td>\n",
       "      <td>Pedro de la Rosa</td>\n",
       "      <td>2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>China</td>\n",
       "      <td>Shanghai</td>\n",
       "      <td>Shanghai International Circuit</td>\n",
       "      <td>1:32.238</td>\n",
       "      <td>Michael Schumacher</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Germany</td>\n",
       "      <td>Hockenheim</td>\n",
       "      <td>Hockenheimring</td>\n",
       "      <td>1:13.780</td>\n",
       "      <td>Kimi Raikkönen</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Italy</td>\n",
       "      <td>Monza</td>\n",
       "      <td>Autodromo Nazionale Monza</td>\n",
       "      <td>1:21.046</td>\n",
       "      <td>Rubens Barrichello</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Country        City                    Circuit Name Lap Record  \\\n",
       "0   Australia   Melbourne             Albert Park Circuit   1:24.125   \n",
       "1     Bahrain      Sakhir   Bahrain International Circuit   1:31.447   \n",
       "2       China    Shanghai  Shanghai International Circuit   1:32.238   \n",
       "10    Germany  Hockenheim                  Hockenheimring   1:13.780   \n",
       "13      Italy       Monza       Autodromo Nazionale Monza   1:21.046   \n",
       "\n",
       "          Record Owner  Record Year  \n",
       "0   Michael Schumacher         2004  \n",
       "1     Pedro de la Rosa         2005  \n",
       "2   Michael Schumacher         2004  \n",
       "10      Kimi Raikkönen         2004  \n",
       "13  Rubens Barrichello         2004  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "no_record_gt10years = f1_2019tracks[f1_2019tracks['Record Year'] < 2010]\n",
    "no_record_gt10years[['Country', 'City', 'Circuit Name', 'Lap Record', 'Record Owner', 'Record Year']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Yeah, it is surprising to see that these lap records still exists **even after 15 years**! Do you think they will be vanished in 2020?\n",
    "\n",
    "Next, what are **the oldest tracks** that are still being raced today?"
   ]
  },
  {
   "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>Country</th>\n",
       "      <th>City</th>\n",
       "      <th>Circuit Name</th>\n",
       "      <th>First Grand Prix</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Italy</td>\n",
       "      <td>Monza</td>\n",
       "      <td>Autodromo Nazionale Monza</td>\n",
       "      <td>1950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Monaco</td>\n",
       "      <td>Monte Carlo</td>\n",
       "      <td>Circuit de Monaco</td>\n",
       "      <td>1950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Great Britain</td>\n",
       "      <td>Silverstone</td>\n",
       "      <td>Silverstone Circuit</td>\n",
       "      <td>1950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Belgium</td>\n",
       "      <td>Spa-Francorchamps</td>\n",
       "      <td>Circuit de Spa-Francorchamps</td>\n",
       "      <td>1950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Mexico</td>\n",
       "      <td>Mexico City</td>\n",
       "      <td>Autodromo Hermanos Rodriguez</td>\n",
       "      <td>1963</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Country               City                  Circuit Name  \\\n",
       "13          Italy              Monza     Autodromo Nazionale Monza   \n",
       "5          Monaco        Monte Carlo             Circuit de Monaco   \n",
       "9   Great Britain        Silverstone           Silverstone Circuit   \n",
       "12        Belgium  Spa-Francorchamps  Circuit de Spa-Francorchamps   \n",
       "17         Mexico        Mexico City  Autodromo Hermanos Rodriguez   \n",
       "\n",
       "    First Grand Prix  \n",
       "13              1950  \n",
       "5               1950  \n",
       "9               1950  \n",
       "12              1950  \n",
       "17              1963  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f1_2019tracks.sort_values('First Grand Prix')[['Country', 'City', 'Circuit Name', 'First Grand Prix']].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Yep, the historical and iconic tracks: Italy, Monaco, Great Britain and Belgium. Although there are so old and lots of modifications have been made up until today, they are still **popular** for racing in F1 and even for other motorsport disciplines!\n",
    "\n",
    "Now, let me take some average values among all tracks to interpret what a typical F1 driver does in each race:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "In F1 2019 Season:\n",
      "One race could last 60.29 laps long.\n",
      "The average length of all circuits is 5.177 km.\n",
      "To complete the race, any driver must drive 304.8 km.\n",
      "One driver averagely takes 16.76 turns and uses 2.19 DRS zones every lap.\n"
     ]
    }
   ],
   "source": [
    "print(\"In F1 2019 Season:\")\n",
    "print(\"One race could last {:.4} laps long.\".format(f1_2019tracks['Number of Laps'].mean()))\n",
    "print(\"The average length of all circuits is {:.4} km.\".format(f1_2019tracks['Circuit Length'].mean()))\n",
    "print(\"To complete the race, any driver must drive {:.4} km.\".format(f1_2019tracks['Race Distance'].mean()))\n",
    "print(\"One driver averagely takes {:.4} turns and uses {:.4} DRS zones every lap.\".format(\n",
    "    f1_2019tracks['Turns'].mean(), f1_2019tracks['DRS Zones'].mean()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Well, these numbers explains everything enough. However, **Monaco Grand Prix** seems to be an outlier here whose race distance is around 260 km, thus affecting the average race distance of all other races. If I drop the value, this average value should now be:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The average race distance without Monaco: 307.0223 km\n"
     ]
    }
   ],
   "source": [
    "race_distances = f1_2019tracks['Race Distance'].values\n",
    "race_distances = np.delete(race_distances, 5)\n",
    "print(\"The average race distance without Monaco:\", race_distances.mean(), \"km\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Yep, the number above... which is also appropriate for what FIA described for F1 rules in terms of race distance, that is at least 305 km.\n",
    "\n",
    "We took the average, but what did a driver do in full season as we'll take the **total** now and assume no DNFs happened?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "In all race tracks of F1 2019 Season:\n",
      "Any driver went up to 1266 laps.\n",
      "They potantially travelled 6400.732 km in total.\n",
      "352 different turns have been taken and maximum 46 different DRS zones have been used.\n"
     ]
    }
   ],
   "source": [
    "print(\"In all race tracks of F1 2019 Season:\")\n",
    "print(\"Any driver went up to {} laps.\".format(f1_2019tracks['Number of Laps'].sum()))\n",
    "print(\"They potantially travelled {} km in total.\".format(f1_2019tracks['Race Distance'].sum()))\n",
    "print(\"{} different turns have been taken and maximum {} different DRS zones have been used.\".format(\n",
    "    f1_2019tracks['Turns'].sum(), f1_2019tracks['DRS Zones'].sum()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Nothing to say more. How about more interesting stats, say, **standard deviations** of these parameters?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "All race tracks' std. dev. in F1 2019 Season:\n",
      "Laps: 9.051\n",
      "Race Distance: 10.29\n",
      "Turns: 3.145 \n",
      "DRS Zones: 0.6016\n"
     ]
    }
   ],
   "source": [
    "print(\"All race tracks' std. dev. in F1 2019 Season:\")\n",
    "print(\"Laps: {:.4}\".format(f1_2019tracks['Number of Laps'].std()))\n",
    "print(\"Race Distance: {:.4}\".format(f1_2019tracks['Race Distance'].std()))\n",
    "print(\"Turns: {:.4} \".format(f1_2019tracks['Turns'].std()))\n",
    "print(\"DRS Zones: {:.4}\".format(f1_2019tracks['DRS Zones'].std()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I'm aware that F1 race tracks usually have **2 DRS zones**, but some could have 3 or only 1. So, let me distinguish these tracks and see what they are:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{1: ['Monaco', 'Japan'],\n",
       " 2: ['China',\n",
       "  'Azerbaijan',\n",
       "  'Spain',\n",
       "  'France',\n",
       "  'Great Britain',\n",
       "  'Germany',\n",
       "  'Hungary',\n",
       "  'Belgium',\n",
       "  'Italy',\n",
       "  'Russia',\n",
       "  'United States',\n",
       "  'Brazil',\n",
       "  'Abu Dhabi'],\n",
       " 3: ['Australia', 'Bahrain', 'Canada', 'Austria', 'Singapore', 'Mexico']}"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "DRS_zones_by_tracks = {1: [], 2: [], 3: []}\n",
    "for i in range(len(f1_2019tracks)):\n",
    "    if f1_2019tracks.loc[i, 'DRS Zones'] == 1:\n",
    "        zones = 1\n",
    "    elif f1_2019tracks.loc[i, 'DRS Zones'] == 3:\n",
    "        zones = 3\n",
    "    else:\n",
    "        zones = 2\n",
    "    DRS_zones_by_tracks[zones].append(f1_2019tracks.loc[i, 'Country'])\n",
    "DRS_zones_by_tracks"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From this outcome, only **2 tracks** have only 1 DRS zones, plus **13 tracks** have 2 and **6 tracks** have 3..."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "OK, OK, I think that's enough for track analyses now we're moving to the more important part: **Race Results in 2019 Season**\n",
    "\n",
    "I directly start with **the winners** of each race:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "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>Track</th>\n",
       "      <th>Driver</th>\n",
       "      <th>Team</th>\n",
       "      <th>Total Time/Gap/Retirement</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Australia</td>\n",
       "      <td>Valtteri Bottas</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>1:25:27.325</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Bahrain</td>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>1:34:21.295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>China</td>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>1:32:06.350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>Azerbaijan</td>\n",
       "      <td>Valtteri Bottas</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>1:31:52.942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>Spain</td>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>1:35:50.443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>Monaco</td>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>1:43:28.437</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>Canada</td>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>1:29:07.084</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>France</td>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>1:24:31.198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>Austria</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing Honda</td>\n",
       "      <td>1:22:01.822</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>Great Britain</td>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>1:21:08.452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>Germany</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing Honda</td>\n",
       "      <td>1:44:31.275</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>Hungary</td>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>1:35:03.796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>Belgium</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>1:23:45.710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>Italy</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>1:15:26.665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>280</th>\n",
       "      <td>Singapore</td>\n",
       "      <td>Sebastian Vettel</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>1:58:33.667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>Russia</td>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>1:33:38.992</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>320</th>\n",
       "      <td>Japan</td>\n",
       "      <td>Valtteri Bottas</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>1:21:46.755</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>340</th>\n",
       "      <td>Mexico</td>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>1:36:48.904</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360</th>\n",
       "      <td>United States</td>\n",
       "      <td>Valtteri Bottas</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>1:33:55.653</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>380</th>\n",
       "      <td>Brazil</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing Honda</td>\n",
       "      <td>1:33:14.678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>400</th>\n",
       "      <td>Abu Dhabi</td>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>1:34:05.715</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Track            Driver                   Team  \\\n",
       "0        Australia   Valtteri Bottas               Mercedes   \n",
       "20         Bahrain    Lewis Hamilton               Mercedes   \n",
       "40           China    Lewis Hamilton               Mercedes   \n",
       "60      Azerbaijan   Valtteri Bottas               Mercedes   \n",
       "80           Spain    Lewis Hamilton               Mercedes   \n",
       "100         Monaco    Lewis Hamilton               Mercedes   \n",
       "120         Canada    Lewis Hamilton               Mercedes   \n",
       "140         France    Lewis Hamilton               Mercedes   \n",
       "160        Austria    Max Verstappen  Red Bull Racing Honda   \n",
       "180  Great Britain    Lewis Hamilton               Mercedes   \n",
       "200        Germany    Max Verstappen  Red Bull Racing Honda   \n",
       "220        Hungary    Lewis Hamilton               Mercedes   \n",
       "240        Belgium   Charles Leclerc                Ferrari   \n",
       "260          Italy   Charles Leclerc                Ferrari   \n",
       "280      Singapore  Sebastian Vettel                Ferrari   \n",
       "300         Russia    Lewis Hamilton               Mercedes   \n",
       "320          Japan   Valtteri Bottas               Mercedes   \n",
       "340         Mexico    Lewis Hamilton               Mercedes   \n",
       "360  United States   Valtteri Bottas               Mercedes   \n",
       "380         Brazil    Max Verstappen  Red Bull Racing Honda   \n",
       "400      Abu Dhabi    Lewis Hamilton               Mercedes   \n",
       "\n",
       "    Total Time/Gap/Retirement  \n",
       "0                 1:25:27.325  \n",
       "20                1:34:21.295  \n",
       "40                1:32:06.350  \n",
       "60                1:31:52.942  \n",
       "80                1:35:50.443  \n",
       "100               1:43:28.437  \n",
       "120               1:29:07.084  \n",
       "140               1:24:31.198  \n",
       "160               1:22:01.822  \n",
       "180               1:21:08.452  \n",
       "200               1:44:31.275  \n",
       "220               1:35:03.796  \n",
       "240               1:23:45.710  \n",
       "260               1:15:26.665  \n",
       "280               1:58:33.667  \n",
       "300               1:33:38.992  \n",
       "320               1:21:46.755  \n",
       "340               1:36:48.904  \n",
       "360               1:33:55.653  \n",
       "380               1:33:14.678  \n",
       "400               1:34:05.715  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "race_winners = f1_2019results[f1_2019results['Position'] == '1']\n",
    "race_winners[['Track', 'Driver', 'Team', 'Total Time/Gap/Retirement']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Whoa, that's lots of race wins from **Mercedes** team, and likewise, **Lewis Hamilton** as driver! It's also meaningful to take the total number of race wins:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Lewis Hamilton      11\n",
       "Valtteri Bottas      4\n",
       "Max Verstappen       3\n",
       "Charles Leclerc      2\n",
       "Sebastian Vettel     1\n",
       "Name: Driver, dtype: int64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "race_winners['Driver'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Similarly, as the team:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Mercedes                 15\n",
       "Ferrari                   3\n",
       "Red Bull Racing Honda     3\n",
       "Name: Team, dtype: int64"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "race_winners['Team'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Hmmm, only **3 teams** and **5 different drivers** have seen the chequered flag first time. All right, let me get the **podium counts**:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Lewis Hamilton      17\n",
       "Valtteri Bottas     15\n",
       "Charles Leclerc     10\n",
       "Sebastian Vettel     9\n",
       "Max Verstappen       9\n",
       "Daniil Kvyat         1\n",
       "Pierre Gasly         1\n",
       "Carlos Sainz         1\n",
       "Name: Driver, dtype: int64"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "podium_finish = f1_2019results[(f1_2019results['Position'] == '1') | (f1_2019results['Position'] == '2') |\n",
    "                               (f1_2019results['Position'] == '3')]\n",
    "podium_finish['Driver'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It's impressive that **Hamilton** has stepped up to 17 podiums, **Bottas** with 15 podiums, a total of 32 for Mercedes! Then, Ferrari drivers, **Vettel** and **Leclerc**, are coming; and **Verstappen** from Red Bull-Honda.\n",
    "\n",
    "It's surprising to see **3 more different drivers** from mid-teams have achieved to get on the podium too! If you watched the corresponding races, you remind that **Kvyat** did this in _German Grand Prix_ with 3rd place; **Gasly** and **Sainz** took the 2nd and 3rd place in _Brazilian Grand Prix,_ respectively. By counting for the teams:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Mercedes                     32\n",
       "Ferrari                      19\n",
       "Red Bull Racing Honda         9\n",
       "Scuderia Toro Rosso Honda     2\n",
       "McLaren Renault               1\n",
       "Name: Team, dtype: int64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "podium_finish['Team'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Yep, **Toro Rosso** with 2 podiums, achieved by both drivers; and **McLaren** with a single podium, waiting for about **5.5 years** to get this feat again!\n",
    "\n",
    "Now, let's count the **pole positions** this season:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Charles Leclerc     7\n",
       "Valtteri Bottas     5\n",
       "Lewis Hamilton      5\n",
       "Sebastian Vettel    2\n",
       "Max Verstappen      2\n",
       "Name: Driver, dtype: int64"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pole_pos = f1_2019results[f1_2019results['Starting Grid'] == 1]\n",
    "pole_pos['Driver'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Wow! That's another great achievement from **Leclerc** by getting the most pole positions **(7)** in 2019 Season! Remember, it is the 1st season in Ferrari and 2nd in F1 career for the Monegasque driver! Moreover, he's crowned it with **2 race wins** and **10 podiums**! (if you read the analyses above)\n",
    "\n",
    "Here comes the vital part, **drivers' standings** this season:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "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>Driver</th>\n",
       "      <th>Points</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Valtteri Bottas</td>\n",
       "      <td>326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Sebastian Vettel</td>\n",
       "      <td>240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Carlos Sainz</td>\n",
       "      <td>96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Pierre Gasly</td>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Alexander Albon</td>\n",
       "      <td>92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Daniel Ricciardo</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Sergio Perez</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Lando Norris</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Kimi Raikkönen</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Nico Hulkenberg</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Daniil Kvyat</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Lance Stroll</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Kevin Magnussen</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Antonio Giovinazzi</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Romain Grosjean</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Robert Kubica</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>George Russell</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Driver  Points\n",
       "1       Lewis Hamilton     413\n",
       "2      Valtteri Bottas     326\n",
       "3       Max Verstappen     278\n",
       "4      Charles Leclerc     264\n",
       "5     Sebastian Vettel     240\n",
       "6         Carlos Sainz      96\n",
       "7         Pierre Gasly      95\n",
       "8      Alexander Albon      92\n",
       "9     Daniel Ricciardo      54\n",
       "10        Sergio Perez      52\n",
       "11        Lando Norris      49\n",
       "12      Kimi Raikkönen      43\n",
       "13     Nico Hulkenberg      37\n",
       "14        Daniil Kvyat      37\n",
       "15        Lance Stroll      21\n",
       "16     Kevin Magnussen      20\n",
       "17  Antonio Giovinazzi      14\n",
       "18     Romain Grosjean       8\n",
       "19       Robert Kubica       1\n",
       "20      George Russell       0"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "drivers_standings = f1_2019results.groupby('Driver')['Points'].sum()\n",
    "drivers_standings = drivers_standings.sort_values(ascending=False).reset_index()\n",
    "drivers_standings.set_index(np.array(range(1,21)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It is certain to say Hamilton became the world champion with **87 points** ahead of his teammate, and **over 100 points** against his top rivals! In addition, **Sainz** became the **best of the rest** in this season.\n",
    "\n",
    "Similarly, **constructors' standings**:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "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>Team</th>\n",
       "      <th>Points</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Mercedes</td>\n",
       "      <td>739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Ferrari</td>\n",
       "      <td>504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Red Bull Racing Honda</td>\n",
       "      <td>417</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>McLaren Renault</td>\n",
       "      <td>145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Renault</td>\n",
       "      <td>91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Scuderia Toro Rosso Honda</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Racing Point BWT Mercedes</td>\n",
       "      <td>73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Alfa Romeo Racing Ferrari</td>\n",
       "      <td>57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Haas Ferrari</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Williams Mercedes</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         Team  Points\n",
       "1                    Mercedes     739\n",
       "2                     Ferrari     504\n",
       "3       Red Bull Racing Honda     417\n",
       "4             McLaren Renault     145\n",
       "5                     Renault      91\n",
       "6   Scuderia Toro Rosso Honda      85\n",
       "7   Racing Point BWT Mercedes      73\n",
       "8   Alfa Romeo Racing Ferrari      57\n",
       "9                Haas Ferrari      28\n",
       "10          Williams Mercedes       1"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "constructors_standings = f1_2019results.groupby('Team')['Points'].sum()\n",
    "constructors_standings = constructors_standings.sort_values(ascending=False).reset_index()\n",
    "constructors_standings.set_index(np.array(range(1,11)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, you realize why and how **Hamilton** and **Mercedes** claimed their championship titles consequently. Moreover, it is interesting to see **McLaren**, whose power unit is Renault, has beaten the **Renault's works team** itself! Besides, it's too pity to see **Williams** to stay as the **backmarker** in 2019 season, accumulating only **1** point. Hope they will come back stonger in the next one.\n",
    "\n",
    "In the last measurement of this kind, let's get the **fastest lap** counts, thus awarding **+1** points for drivers if finished in top 10:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Lewis Hamilton      6\n",
       "Charles Leclerc     4\n",
       "Valtteri Bottas     3\n",
       "Max Verstappen      3\n",
       "Sebastian Vettel    2\n",
       "Pierre Gasly        2\n",
       "Kevin Magnussen     1\n",
       "Name: Driver, dtype: int64"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fastest_lap = f1_2019results[f1_2019results['Fastest Lap'] == 'Yes']\n",
    "fastest_lap['Driver'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Among all these fastest lap counts, **Bottas** did not receive the extra point in Brazil, due to being out of the race and likewise, **Magnussen** finished outside of top 10 in Singapore.\n",
    "\n",
    "After all these analyses, let's switch to a different aspect: **DNF counts** for each race..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Track\n",
       "Germany          7\n",
       "Russia           5\n",
       "Brazil           4\n",
       "Azerbaijan       4\n",
       "Bahrain          4\n",
       "Belgium          4\n",
       "United States    4\n",
       "Italy            3\n",
       "Great Britain    3\n",
       "China            3\n",
       "Singapore        3\n",
       "Australia        3\n",
       "Spain            2\n",
       "Canada           2\n",
       "Mexico           2\n",
       "Hungary          1\n",
       "France           1\n",
       "Japan            1\n",
       "Monaco           1\n",
       "Abu Dhabi        1\n",
       "Name: Total Time/Gap/Retirement, dtype: int64"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dnf = f1_2019results[f1_2019results['Total Time/Gap/Retirement'] == 'DNF']\n",
    "dnf.groupby('Track')['Total Time/Gap/Retirement'].count().sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Whoa, **German Grand Prix** has encountered 7 drivers failing to complete the race! If you remember that, most of the time it was rainy, and sometimes becoming dry, making drivers and teams be confused for selecting the **correct tyres** throughout the race. Plus, the track surface was often slippery and drivers have struggled to stay on the track in one piece. At the end, **Max Verstappen** was the winner there.\n",
    "\n",
    "On the other hand, you didn't find **Austria** above, did you? That's because all drivers have successfully completed the race (with several drivers being lapped, though).\n",
    "\n",
    "With the information above, total and average DNFs are:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total DNF: 58    Average DNF: 2.761904761904762\n"
     ]
    }
   ],
   "source": [
    "print(\"Total DNF:\", dnf.shape[0], \"   Average DNF:\", dnf.shape[0]/21)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In terms of **drivers** for counting DNFs:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Driver\n",
       "Romain Grosjean       7\n",
       "Lando Norris          6\n",
       "Daniel Ricciardo      5\n",
       "Carlos Sainz          4\n",
       "Lance Stroll          3\n",
       "Daniil Kvyat          3\n",
       "Sebastian Vettel      3\n",
       "Pierre Gasly          3\n",
       "Nico Hulkenberg       3\n",
       "Charles Leclerc       3\n",
       "Kevin Magnussen       3\n",
       "Antonio Giovinazzi    2\n",
       "Valtteri Bottas       2\n",
       "George Russell        2\n",
       "Kimi Raikkönen        2\n",
       "Sergio Perez          2\n",
       "Max Verstappen        2\n",
       "Robert Kubica         2\n",
       "Alexander Albon       1\n",
       "Name: Total Time/Gap/Retirement, dtype: int64"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dnf.groupby('Driver')['Total Time/Gap/Retirement'].count().sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Here's a question at this point:** Which driver was not listed above so he never was out of each race?\n",
    "\n",
    "Yes, it's **Lewis Hamilton**, the champion of 2019 season! Is that because he mastered his driving skills thus no critical mistakes occurred during races or his team, Mercedes built a highly-durable car? Well, I leave the discusssion to you...\n",
    "\n",
    "By the way, the Frenchman, **Romain Grosjean** had the most DNFs this season, unfortunately."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**I think we forgot a substantial exceptional situation here:** Any driver who was DNF does not mean he was removed from the classification in race results! Remind that it is sufficient to travel **90%** of the race distance, then you are guaranteed to be placed in the results. Hence, which drivers experienced this case in which race?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Track</th>\n",
       "      <th>Position</th>\n",
       "      <th>Driver</th>\n",
       "      <th>Team</th>\n",
       "      <th>Laps</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Bahrain</td>\n",
       "      <td>17</td>\n",
       "      <td>Nico Hulkenberg</td>\n",
       "      <td>Renault</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Bahrain</td>\n",
       "      <td>18</td>\n",
       "      <td>Daniel Ricciardo</td>\n",
       "      <td>Renault</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Bahrain</td>\n",
       "      <td>19</td>\n",
       "      <td>Carlos Sainz</td>\n",
       "      <td>McLaren Renault</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>China</td>\n",
       "      <td>18</td>\n",
       "      <td>Lando Norris</td>\n",
       "      <td>McLaren Renault</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <td>Germany</td>\n",
       "      <td>14</td>\n",
       "      <td>Pierre Gasly</td>\n",
       "      <td>Red Bull Racing Honda</td>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>Belgium</td>\n",
       "      <td>11</td>\n",
       "      <td>Lando Norris</td>\n",
       "      <td>McLaren Renault</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>257</th>\n",
       "      <td>Belgium</td>\n",
       "      <td>18</td>\n",
       "      <td>Antonio Giovinazzi</td>\n",
       "      <td>Alfa Romeo Racing Ferrari</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>375</th>\n",
       "      <td>United States</td>\n",
       "      <td>16</td>\n",
       "      <td>Pierre Gasly</td>\n",
       "      <td>Scuderia Toro Rosso Honda</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>377</th>\n",
       "      <td>United States</td>\n",
       "      <td>18</td>\n",
       "      <td>Kevin Magnussen</td>\n",
       "      <td>Haas Ferrari</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>396</th>\n",
       "      <td>Brazil</td>\n",
       "      <td>17</td>\n",
       "      <td>Sebastian Vettel</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>397</th>\n",
       "      <td>Brazil</td>\n",
       "      <td>18</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>398</th>\n",
       "      <td>Brazil</td>\n",
       "      <td>19</td>\n",
       "      <td>Lance Stroll</td>\n",
       "      <td>Racing Point BWT Mercedes</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Track Position              Driver                       Team  \\\n",
       "36         Bahrain       17     Nico Hulkenberg                    Renault   \n",
       "37         Bahrain       18    Daniel Ricciardo                    Renault   \n",
       "38         Bahrain       19        Carlos Sainz            McLaren Renault   \n",
       "57           China       18        Lando Norris            McLaren Renault   \n",
       "213        Germany       14        Pierre Gasly      Red Bull Racing Honda   \n",
       "250        Belgium       11        Lando Norris            McLaren Renault   \n",
       "257        Belgium       18  Antonio Giovinazzi  Alfa Romeo Racing Ferrari   \n",
       "375  United States       16        Pierre Gasly  Scuderia Toro Rosso Honda   \n",
       "377  United States       18     Kevin Magnussen               Haas Ferrari   \n",
       "396         Brazil       17    Sebastian Vettel                    Ferrari   \n",
       "397         Brazil       18     Charles Leclerc                    Ferrari   \n",
       "398         Brazil       19        Lance Stroll  Racing Point BWT Mercedes   \n",
       "\n",
       "     Laps  \n",
       "36     53  \n",
       "37     53  \n",
       "38     53  \n",
       "57     50  \n",
       "213    61  \n",
       "250    43  \n",
       "257    42  \n",
       "375    54  \n",
       "377    52  \n",
       "396    65  \n",
       "397    65  \n",
       "398    65  "
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dnf_noNC = dnf[(dnf['Position'] != 'NC') & (dnf['Total Time/Gap/Retirement'] == 'DNF')]\n",
    "dnf_noNC[['Track', 'Position', 'Driver', 'Team', 'Laps']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Hmmm, **12** such cases happened. Perhaps, the unluckiest of them must be **Lando Norris**, due to mechanical issues happened in the penultimate lap, finishing P11 in Belgium.\n",
    "\n",
    "_I'm losing power. I'm losing power! My car is broken! It's broken! Anti-stall! \\*\\*\\*\\*\\*\\*_"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "All right, it's enough for these numbers and text. Let's finish the analyses with **pretty cool visualizations**.\n",
    "\n",
    "Firstly, **championship points** progression for top 5 drivers throughout the season:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def get_season_progression(arr):\n",
    "    prg = []\n",
    "    p = 0\n",
    "    for i in range(len(arr)):\n",
    "        p += arr[i]\n",
    "        prg.append(p)\n",
    "    return np.array(prg)\n",
    "races = f1_2019results['Track'].unique()\n",
    "hamilton = f1_2019results[f1_2019results['Driver'] == 'Lewis Hamilton']['Points'].values\n",
    "bottas = f1_2019results[f1_2019results['Driver'] == 'Valtteri Bottas']['Points'].values\n",
    "vettel = f1_2019results[f1_2019results['Driver'] == 'Sebastian Vettel']['Points'].values\n",
    "leclerc = f1_2019results[f1_2019results['Driver'] == 'Charles Leclerc']['Points'].values\n",
    "verstappen = f1_2019results[f1_2019results['Driver'] == 'Max Verstappen']['Points'].values\n",
    "plt.figure(figsize=(14,6))\n",
    "plt.plot(get_season_progression(hamilton), color='#00d2b0', label='Hamilton')\n",
    "plt.plot(get_season_progression(bottas), color='#00c2b0', label='Bottas')\n",
    "plt.plot(get_season_progression(verstappen), color='#0600f0', label='Verstappen')\n",
    "plt.plot(get_season_progression(leclerc), color='#ff0000', label='Leclerc')\n",
    "plt.plot(get_season_progression(vettel), color='#d00000', label='Vettel')\n",
    "plt.title('F1 2019 Season - Points Progression for Top 5 Drivers')\n",
    "plt.xlabel('Races')\n",
    "plt.ylabel('Points')\n",
    "plt.xticks(np.arange(21), races, rotation=60)\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "How about the progression for the rest of the drivers?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "drivers = f1_2019drivers['Driver'].unique()[5:]\n",
    "drivers_color = ['#ff8800', '#0088ff', '#0600f0', '#ffff55', '#f396c5', '#ff6600', '#bb0000', '#0066ff', '#ffff00',\n",
    "                 '#f376c5', '#777777', '#990000', '#666666', '#66ccff', '#55ccff']\n",
    "plt.figure(figsize=(14,6))\n",
    "for i in range(len(drivers)):\n",
    "    driver_points = f1_2019results[f1_2019results['Driver'] == drivers[i]]['Points'].values\n",
    "    plt.plot(get_season_progression(driver_points), color=drivers_color[i], label=drivers[i].split()[1])\n",
    "plt.title('F1 2019 Season - Points Progression for Other Drivers')\n",
    "plt.xlabel('Races')\n",
    "plt.ylabel('Points')\n",
    "plt.xticks(np.arange(21), races, rotation=60)\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Yeah, these graphs above clearly explain how all drivers gained points this season along. We can imply, however, that there was a **big competition** especially for **mid-teams** where lots of standing changes happened race after race.\n",
    "\n",
    "If these are all for the drivers, why don't we do the same for the constructors then?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "team_points = f1_2019results.pivot_table(index='Track', columns='Team', values='Points', aggfunc='sum')\n",
    "teams = f1_2019results['Team'].unique()\n",
    "colors = ['#00d2b0', '#0600f0', '#ff0000', '#777777', '#ffff55', '#990000', '#f376c5', '#0088ff', '#ff8800', '#66ccff']\n",
    "plt.figure(figsize=(14,6))\n",
    "for i in range(len(teams)):\n",
    "    tp = []\n",
    "    for j in range(len(races)):\n",
    "        tp.append(team_points.loc[races[j],teams[i]])\n",
    "    plt.plot(get_season_progression(tp), color=colors[i], label=teams[i])\n",
    "plt.title('F1 2019 Season - Points Progression for All Constructors')\n",
    "plt.xlabel('Races')\n",
    "plt.ylabel('Points')\n",
    "plt.xticks(np.arange(21), races, rotation=60)\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Similarly, this graph shows why F1 is **getting boring** for the last few seasons. That's because only the **top 3 teams** are eligible for claiming the championship title (same for the drivers, too) and pretending there is **another league** that only encompasess the rest of the teams to be **4th best** constructor overall! Nevertheless, this hasn't changed yet for 2019 season.\n",
    "\n",
    "Now, another visualization I'd like to make is the **race finish positions** in each race for top 10 drivers in the season standings.\n",
    "\n",
    "_Here, drivers who were **not classified**  or **disqualified** in the results are considered to finish P20 for this purpose._"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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LtGnThn379jkawRs3buT111+nXbt27Nmzx+FNcffu3fTo0QOTyVRi3aXl+PHjdOvWjQYNGjBs2DAGDBjgSEt30K5dO3755RcuXLgAwL59+0hKSuK2227jpZde4uuvv+bhhx9m+vTp+Pv7c/78+ULPq9XqQp1igPDwcDQaDd9++y2Q34DfsWPHTdPXVV5xRVnjuRnX8iaA2WwulDeFEI4yEBcXx/nz52ndunWJ333fffexc+dO0tPTkWWZzz77rMSzXocPH+bzzz+nf//+N733gQce4PDhw2zatIknn3wSyN8vFh8fz8GDBwH466+/6Nq1K2lpaUWeX7BgAWvWrOH+++/n1VdfpX79+pw6darEv1NBQeHfgzJzpaCg8I/mjz/+YMeOHdSrV48+ffo4wsePH0/79u2ZN28eo0ePxmq1UqdOHYdLaVdIksSbb77J1KlTsVqthIaGsmLFiiIj/hqNhrVr1/L666/z0UcfodfrkSSJnj170qtXLwBWrFjBnDlzePfdd7HZbIwZM4ZWrVoRHBzMSy+9RPfu3bHZbNx99918++23yLLM+PHjmTt3LosWLUKSJEaNGkWtWrV49dVXmT17Nt27d8dqtdK+fXuGDx/ufoMWoE6dOgwZMoR58+axfft27r33Xh588EF8fHyIjIwkIiKChIQE2rdvz8svv8xzzz0HQGhoKHPnzqVq1aq89tprjBs3DiEEGo2Gd955x+XsgTuIioriwQcf5PHHH0ev16PT6Xj11Vfd9v6IiAimT5/OqFGjsNvt6HQ6Vq5cSUBAAM8//zxTpkzh008/Ra1W07lzZ+644w7279/veL5Dhw7Mnz+/0Du1Wi0rVqxg9uzZLF26FLvdzsiRI2nbtm2hZ2/EVV5xRVnjuRnTpk1j1qxZdOvWDavVSocOHRgyZIjj+u+//8769esRQrB48WICAgJK/O4mTZowbNgw+vfvj81mo2XLlgwePNjpvWfPnnUcwaBSqQgICOCtt94qNHPlCl9fXx544AEOHjxIkyZNAKhSpQpLlixh3rx5Diclb7zxBtWqVSvy/IABA5g0aRLdunVDq9XSuHHjQo5yFBQU/jtIwtWaCAUFBQUFBQWFMmKz2WjSpAm///67w4OmgoKCwr8dZVmggoKCgoKCgoKCgoKCG1BmrhQUFBQUFBQUFBQUFNyAMnOloKCgoKCgoKCgoKDgBpTOlYKCgoKCgoKCgoKCghvwam+BKSnZLq+FhOjJyMjzoBrv1aFo8C4d3qDBW3R4gwZv0aFo8C4d3qDBW3R4gwZv0eENGrxFh6LB+3QoeBehoc49n/5jZ640mpIfQliReIMORcN1vEGHN2gA79DhDRrAO3QoGq7jDTq8QQN4hw5v0ADeocMbNIB36FA0XMdbdCj8M/jHdq4UFBQUFBQUFBQUFBS8CaVzpaCgoKCgoKCgoKCg4AZuSecqNjaW/v37l+nZLalXiInbj2b7l8TE7WdL6hU3qyuhDuMVYlL3oznyJTGp+9li9LwOr9CgpIdXafAWHd6gAWDbFkHnGBm95iqdY2S2bfH8yRPeYAtvsAN4hy18t2wiJKYdaDSExLTDd8smj2vwFh3GLZtIjmlHrEZDckw7jLfIFt6QL5RvWQENXmALpc5S+Cfj8XOu1qxZw5dffomfnx+fffZZsffe6NBiS+oVhp3+q8h9qyKa0LNKVbfqLI4txisMu+pER1ATevp5RodXaFDSw6s0eIsOb9AA+R/nkcOKVm/LV0k80lPyiAZvsIU32AG8wxa+WzYROGxQkfCsVe9h7tnLIxq8RYdxyyYynGgIWfUefh60hTfkC+VbVkCDF9hCqbMU/im4cmjh8c7Vjh07aNSoERMmTCh15yombj/H8nKL3NdY78+u5ne6VWdxxKTu55itqI5qKh/WhTTnjZyzhcJnBTRki+kKYwz1GJ91nBTZcv1dPpVo6xPMJbsJGfjEmFjo2bXBzViam8AYQ10GZh5xhO+1ZJIj7EU0NNb4s6uKZ2zh7enRWGPgdm2gU3sn2s3YEGy4wd7vBzdjcW4Cow11GVTA3gB9/GqgQaKG2pdfLZnstqQ7rv1muUqmsBXR4C+pucsnmPH+9TlkzeIRXRjLcs9zqoDe5poA+uirs8eSSR21jhW55wu9483AKD4yJjLevz7DMv8kt0C6P+gbSgONHquQuSxbmJh1wmm+aKQxUFetKxQ2WF+LDNnKbdpAtpuS+d161XGtrtqPV/zD+diYSAefSszNiS/07NSACL4zpzJIX4uZ2ae5ZDc5rh22ZpNcwObX8GTeBOgcI3P8WNHw6Mbw3S7PTNq7zpues4U32AG8wxYhMe3QHCvaWLJXr0HW2nVI2dmoMtLx3fz59YsqFVnrNqJ/Yz7G4SMJGD640LOmgc9Bbi72qMb4fPs/tL/ucVyTa9YiZ/ps/N5bg+X+rhhmTQNAu/cXVDk5RXTYGjclY9deN/3a4kmOaYfNiS00jZsS5iEN4B35wvu/Zf8tWyh1lsI/Ba/pXAFcvHiRcePG3bRzZbPZC3lo0Wz/ErsTuRpJwtqth9t1ukJ9ZBuyk3ANEtZmntGhOfIldpzYwpMalPS4HpcXpIe36PAGDQB6zVXsRfuZaDSQaw3yiAZvsIU32AG8wxZoNLg0htXqGQ1eoiO2GA23edAW3pAv1F+5+IZ4+FvmDbbwhu+6Umcp/NPx6nOubjxTINJP73RERSepSLxyFa2qYkc07EKwJDeBRhqD09GMSI2h2LO53EmkRu9Ug15Sc/hyCjVvmKVwJ3Yh+PDKJer5+hFvKnruQ1WtDycS0wnRaJCkipvCj7fl4S+pqanScUE2FbnuDenhSQ3eosMbNAA0jMTp6GfDyOLP0HMn3mALV3aoXh327smiYaRnltm4soW/pOb4lTQqq3wqXENIZJTTmStbZBQZHsybrnTIQcGknbsMBkOFa9BERjmfuYqM+s/UWSlWC68lnCZYoyXdVrRDGenn2TorRNKQKorqCFP5kJycVaHf02uE+/pxysl33ZO2cFVnVa4Cn3ycxf1db22d5elvmYL38q8452psjXpOw2fXa0i6zcrnKZcrJN7zNiMDM46QKJsYa6jLWINzHWMMdSskfme40vCioS5Ts05hFHYqYlLySG42fY7HAjC+lnMN0+pE8F1mKjl2O1csZrdrMAo7u8z5S/IE8GpAA6f3eUN6eFKDt+jwBg0Ajz7mPHzUGM+t2fcGW7ww1vnvHT8J6ofDtCkyZ85U/AIGV7YYrq/DN6ZUMmRrhdRZBckb+5Lz8DHjKjTekuow9X2aoKefxGfnjgrXEOBCQ4CHbfGozvnelYouI7uvpjPi9F8MrlaLefUind4ztFqtCtVQkK9NKTTW+Du9dpdPMP0y47hid//39EYeCKniNHxMDc/VWQOKbgUEYNJk+P03wfNDZRITb12d5elvmcI/D/WMGTNmeDrSrKwsduzYwRNPPFHsfXl5hfdtROv9idDpOWMykmGzEqX3Z3bdhjwZWh1/tYb6Oj/WJSeSabNSX6cvt06rkFmee551xktMC2hAfY0eSZKI1voTodZzxm4kQ7YSpfFndkBDj25wdKXhGUNNHvGrSo6w84kxidu0AajcNNr1TtJ5vkpLYWH9RrQPqkRjF+nRs0pVmhoCsAqZMWeOc9FspKV/IGo36PjBnMbErBPcrg3kDp8g/FUar04PT2969QYdN2oIlDRMCQjnaX1Nj2kwmQRvvwkvT4KEc5CZAZGNYOYcz26IjtDo+d6cPyuTnx4GZgdEejQ9oqIl6ocLzp6BzExoFAUzZ0v0fFyFSiUR3gBmzxCciYeWrUCjqRj7RGv9kYUg3p6HWciOvDnIUIvm2gB2mtMIVmnJFXb8VRW0qEKWwWxCkgWqjHRsUY3JmT3fo84sAOzRjbFHNER9Jr6QDuOwkZh79ETKyETKyACVqsJmsbTRjdFENMR28gRyRjqa6CYEzZ7vUWcWAAZJzR0+QSTYTY46a5BfTepr/KivKf93/Easssz7Vy7SKbgyfcOqU8NX57RtMaBqTbJsNu4OCnG7hhuRheB94yWWBTemkcZQpP4eH1Cftj7BBKu0fGG8QlOt89Hy8iCEYPK5U0yqHU603p/TxjzSbVaiC3zXPcHRPwUqjUTn+6X8Oivjep312BMq2sfk11nTJgsiG0FY1Yqrz6O1/mTYrRixkynbbtl3fYvxCsOv/sXkrFN8ZUomWNISrXXeES8Jhw4dYOXKpXTs2LlcutLSUlmxYgl33XXPTe/t1as7jzzyOBpNft2ekHCOV1+dwEMPdS9z/NOnv8I998Qwf/4sfHx8CA0N45tvttOoUVSZ31laDAZfp+G3ZM9VSSlu2jU0NMDp9Ry7jdcvniXZamFGnQiq+jj/4TdDCMHsnHgaaQw8oavmcjrelQ5PUpyGtbkXibfnMck/nMAyNljOm4zE5mbTPiiEYI22VBqEEGxKvcLGlCQm1g7nzoCyrZfOlK1MzjpJFZUPE/zru2x8eXt6/Nd0hIYGcOpKOgGSxi2d65KyZqWgSij0fFxy6JgyKYsx4/DI0pprfGVKJsluZqihNmcNNs6mX+U+38oeix/AbhcMflbwwceqYsvp9i9hw8eCD9ZL+PhUjI1W5p4nSuPPE7XqOtVhFTIjrh4lXO3Hi/718JPUTt5SdgIHPk3Oa3ORa9fxivIBrsup+sRx5GrV0P60C8tD3UHtXltcI/uN+UhH4zCsXe/RsgGwIS+RaK0/LbSBwHVbGIWdZzLiWBDYiHA3dbDy7HYWXTrHoGq1MKjUBGhu/g2RhWDX1XTuC664Mpsj29hhTuVxv2oudRQk0W4i3paHDUFHN9Ylb186R6Baw+ACs3WeLiOJiQJ/f/D1BV/f63W3Mw2yLBACli2GMeMqJt8KIXgy4zCfV7r9ltUXFeGx8NChA2zb9gUzZ84rr7wS06tXd9av34Svb36bPCHhHK+/Ppdly1aX+91z5sygU6cu1K1bj+nTJ7N69QflfmdJ+VcsCywJ/moNM+s25PnqdXgh/hhHcktXGGQhOGrN4WtzKlMDInjSr7rHPzjuZLChFg/5hjIgM46vTMmlWnaTaDYx9dwpavj60im4ssuOVXFIksQTodV4N7IpR3KzybLZyHCytr04/mdKQYuK5w11eC2wYcWNaitUCMEqLW/nnqvwJV/XyMoS/LBT8EjPwuGjxkBSkkckOPjceJkn/2403akPoYNPxY+C38iP38OdbYqvwyRJovsjEh9+IpF1FT5eVzFplSpbaV7MqLtWUvFucFNaaAPpmxHLj+Y0t8Wt3bcHe63ayLXruO2dFYm9URQiMAjV1asE9X4MzeFDFRKP/0sTUQUFIbKu3vxmN5Ir2/ncdJmmTpbC+UlqFgVF83LWCXLkol5YS8sPmWn0OxFLS/9Aqvn4uuxY3YhKkgjRaLEJZ+4uyo9dCOwI7ilFvVBDreN2bSA/mNMZmXnULUsFv81I5YLZyKCqhVcX9Dl4oNzvLinGPMG4FwSZGdc7VsWhUkmo1RIvjIWDBwTTX5XJznZvvXXWbnRb576sLMo95zR8cW6C2+P644+DjBgxmFGjhjJ37kxsNhuDBvUjIyMdm81Gly4xnDx5HIBBg/px/vw5hg4dAMCqVcsZNmwgQ4Y8y2effVKqeH/8cScvvDCMUaOGMmrUUDIzMzl06ADjxo1i4sQXGTiwL1u3fsG0aa/Qt+/jbPn7PL5evbpjNl/P/+vWvce5c2d5//01ZGdnM2HCWEaOHMLw4YM4ePB3AJ59tjdvv73QEVeOE6+t7uBf20ptZghgQ9RtCARvXzrHizXrFXu/EILNpit8bUrh3eCmNC7HlKu3cY9vCHf4BLEkN4FQlQ8ttYH4SK771XYhWHv5Ij9kpjG9bgQaSYWmnIOmIRotg6vV4qQxlxy7nVS1hQidvtiO65/WbIxCpo7aD52kqpClEAqeYbShLomyuUIdrVzjSCyMGCWhUhXOWxYzTHxJ8NEGzwyWnLXlEazSEKzKH5QQQvBM5hE+CbnNI/Ff49MNgnkLS/abtVqJKqHQp5/g3dWCgAB4srf7ZvvGGuqWaHDkIV0oHXxC+NiYSBufYLJlG1XVZVuFAIAQ6Be9QdaKd8v+jluBJGFGaCJYAAAgAElEQVR6+lnMXR/C/7WpyIGB5M6cm+82zQ3I6WlkzZuNPiwMOTUFVVCwW95bEtbkXWCQvhYaF9+immod4/3rMSsnngWBjcocz8yE08gIPmrUHH916e12u38gI08fZXSNujTSu3eJ5vycM0RrDDx2w6zVzfBXaZgV2JA4azajrh5lmKE2nX2d75W6GWZZZmNKEisiGhcp59m28ndsS4IQgonjBaPGSNSpW7q6RqWSaNUa8nJh0DOCgYPhwYfdU2ftsqTTwadSud9zM74wXmaz6frhxGokx7E+J5041AA4bsvhlC2Xb0yp7LdmOsJrq3XML0N5EUKwYMEc3nnnXUJCKrFmzTt8/fVXtG9/L/v37yMsrCrVq9fg99/3o9X6ULt2HbTa606Iduz4mmXLVlOlSihff/2V0zjGjRvlSBez2YSvb3574MKF87z++mJ0Oh0LF87ht9/2UaVKKMnJyXzwwSccP36MadMm8emnW0lJSWby5Jfp6WT58jPPDCI+/jQDBw5h2bJFtG7dhief7ENKSjLPP/8cn366ldzcXDp37sqLL05g5sxX+fXXPXTu3LXU9roZ/9rOFfD3MiSJ0TXqciD7Kl+lJ/NyrfpFKtgztjxmZJ+mpTaQd4Kb/KNnqlzhK6l42b8+AItzzjHSUAdB/khxQexC0P9EHA+GVOGTqNvctl/rGpF++R+nVUkXeC0rnpl1Igj3KzwylCvbeT3nLJdlMzMCIqhWnkaVgldgEjITsk6wvoI7FslXBMHB0KRZ0XyrN0jUqSs4dlQQ3bjiy3gllZaJ/uGOvyVJQo2ERcjFDm64k8RLAh9fqBJaut+rVksMGCR4bw08208wdQbl9iooC8HHxkSGG0o2c+Sv0jDcUIeLdhPnbEZyhJ36ar8y10k5sxcgKnt2Saa7EKGhZC9difpIHNLVq2j+OoK1w73lfq8t4Ryq0FB0URGYzUXPpqso0mUr+yyZN3UM0M4nhNu1gRy35hBVygHPI7nZXLGYmVC7Pn6q8o0OTqvTgOGn/+KDyGYElWEFhzO+NCWTI+yl7lgVpLk2gI0hLcgSNj7Mu8RTftXQlWIpbbbNxl95Oaxt2NRlu0cIUeFtopXLoWkziXs6lD2e9jESd7SBpYsEFy9IDB1Rfl3nbSYe96/4/VWP+1UrsiwUYLx/fb4yJTv1WBil8aehxkBDfwNQfgcbmZkZpKWlMnXqJADMZjN33tmWTp3u58MP36Nq1WoMHfo8mzZtRJYFMTGdCj0/Y8YcVq1aRlpaGm3b3uU0jrfeWlZkWSBASEglZs+ejl6vJyHhHE2bNgcgPLwBGo2GgIAAatSoiVarJSAgEEsJHKUlJJylS5cHAAgNDUOvN5CZmQFAZGR+5zMsrCoWS8XUe/+6ZYHOUEsSrQOC6BBYif4n4vhfegoANiFjFjJv5JxlZkAEY/3reazRcysZ41+PeLuR3hmx/Ga5vhTks5Qkkixm3otsSv+qNd3esSrIsOq1mVW3ITPPn+bNi2cxy/nLLn61ZPJ0ZiztfUNYGdxE6Vj9SwhUaQhT+RBvK+ri151otVDc4HK//lKFLXkriBCCtXkXi8zURWkMHHcxElkRBAXBlKllK8cajcTQERLzFkq8sUBw6GD57JYsW+jpwjNccdRS67jHN4TfLJn0yYjlL2vpl3Ho31yAPaJhqZ/zNuzNmiMMBuz16uPz1TZUF87f/KHi3nfuLJq69Qh5+mnU9eq7SeXN8UXF/MDIEjXadZKaU/aS1xt/5mbzytmTROsNdAyuXO6OFUBVH19erd2AMfHHnZ4BVVqOWnPYaEzitYCIcr9LLUmEqLQ8qgsjT8jMzY4nV3ZySNQNyEIgSRBczJEpARoNOc4OnHIjQggaRcOQ4eV/l04n8fIkFUOGw7r3BWmposzL0e1C8JJ/PYJU7ulMlxVPeSwMCgomLCyM+fPfYtmy1Tz77CBatmxNeHgESUmJHDv2F+3a3Y3RaOSXX3YX6kBZLBZ+/PF7ZsyYy5IlK/nmm+1cvlyyNfg5OTmsXbuKmTPnMnHiq/j6+jrSrLRNUElSIf5ewlu3bn1iYw8DkJKSTHZ2FoGB1/b8V/zg6r+/J1GATiGVWd/oNg7kZLE0MYENxiSyhY0VwU0qxCuRN9NIY+Dd4KZszEvkiQt/8Mals/SsXJVavjp0bvgYlYR6Oj8+iGxGpJ+BLLuVRWlnqaPWsT7kNjp5eNO/QsXT368m6/IuVdj7z54RfLoB6oe7rjgbN5G4cB7M5ortYOUKOy86+Sjepg0g1ppVoXFfQwjBmlVQo2b5PiQ1a0msWqvi9pbw9htlt9tm05VydSz76GuwKCiapbkJzMw+XaIGJID69Cnyxo4v/ZfaW9HpkOvUxR4Vjf+kl/BbtrjMBw/bEs6hrheO6c8/sR6Jc7NQ5xiFnfeNF0v1ze2uC2Nm9uliB2dy7DamJ5xiWeJ5xtasi0ZSudWJTquAIB6qVIWTxvIPjsTb81gcGF1k5Uh5CFJpqaTScoc2iKczY9lpTi32/jcvnWNPViZRetczgk/WqIHs5BBddyHLgiVvw32dJLfOjkmSxDMDJfwD8pcKHjxQ+t+QKax8exMbeoKeflVZFdSExhp/NEg01viXy5nFNX77bT+DB/d3/Lt48QJjxozn5ZfHMHz4IDZv3kR4eP4xNy1atCQ4OASVSkWLFi0JCQlBr79efn18fAgMDGTAgL6MHj2cO+5oS9WqJZuRNRgMNGt2G4MGPc3IkUPw9fUlNTWlTL8pJCQEq9XGihVLeOaZgRw69DsjRw7hlVfGM2HCFIenQk/wr/MWeDPSZAuzsuNpqvZHnSPRvXIYVbRlP7zSGzxOlVXDeZORGedP4++jpnFlf5421MAgqctUyZVVg10IPsi7xIO+Vfg5K4NWfoGEaLRULmOa/JPT49+oo6AGIQR9M+L4OKR5hXgOHDVcZuxLEhENi767oA6zWaBWV5zLcYD+GXG8E9S40P6i0NAAjl9J44Ld5PCOVpFkZeXvmSpYnsubJ4QQxMXCe2sEU6ZJpXKDPDzzL+YFRhKi0pZbx05zKk01AaTIFpoVtxfTaCSo3xNc/XRL/rRmAbyhfJRbhxD4fvoJus8/Jfv1t5HDnZ/55wrTzh34tLqDKjUqk/znSTQNKn52L96WRwMXHavibJFoNzHq6lE+DG5OwA379oyynf4n4ni+ep1ye/a7WXocz8vhssXCvcFl24uzJCeBEYbaN+1YlSdf5Mp23sw9i1nIzAkseobXN+kpfJ+ZxhvhxbusTtOBLctcZq/LxWrMEfz8EzzwUPF1SHnLaXqaYO5sgY8WJk6RCAoqWZ112JpFpMaA/u9llt5SXyh4F/8Zb4GuEEKwMS+JoZl/0d+vBs/512ZA1ZoEqDU8cyKOwzmeGU32Fo7m5TD53Ekm1w5nSb3GDA+oww+WdBJlMxly2UZBS0usNYveGYfxkSSqqX15qlJ1jLLM0FN/sSE50WPe5RQ8gyRJrAtpViEjoXGxAoMBpx2rG1GrYdUKt0twcMaWR2WV1qnjhsoqH054aFnguNH5nrfciSRJ3NZC4rlhEmNHCT7+UCDLJUvPTNlKiJuW2HT2rUKYyocku5kEm5EkFx7T/NauxvTMwCIdq38NkoS5dz+yVr+PCAtD99EHpXteo0UVUglbcjK5a8vvEvlmHLfm8HbOuTI9W0OtY6J/OC9mHUcu8G1Ye/kiZlnm06gWFeoy/RoNdHpaBwSSaDaV+tn9lkxGGuq4dcbKGQaVmmkBEUz2b8Av5gwOFlj+fyIvlw+vXGKOi4OTC1JRk71CCCa8JAgs28kspaJSZYk33lbRo6fEtMn5ywRL0rZYmHMWjQeWjyn8O/lPdK5yZTuHrFmkCSsbQ26jlU9+iZYkCV+VijfDo1h7+SJTzp30mHecW8kbF88S5Wfgo0bNifC7vkGlhy6Maipfxl09zps5+aNeFcWC7DOsyb3I8qAm9Ndf39/VzBDAp9G3kWm30e9EHKfdsARDwXuwI3g376Lb37voTcHY8SX7EGo0Er2egksXK6bzvi4vkf5+NVxeb6uteI9sFy8I/PwgpFLFNA6aNZf4aKOE1ZbfUb1ZYyVLthWZbSgvKkmii64KVmRevHqMNbkXCu2HkTIz8Nn1A+YePV2/5F+CqFwZ4R+ApcsDaP44iO/mz6EEDUiVf/6SME1YGPYyLsUpDa/nnHU4VioLbXyCae8Twk/mdFYlXWDt5YsMqlqTYI3WY+foaVUqLLJgZPzRUh0rstl4me2mFI+e92dQqbnLJ5jm2gCmZZ0izprNrqvpLG4Qja+qZM2/hDJ0Im/GssXQ6g6Ju+72nC3atpNYvFzFiePwv68pdlAoR7ahRfpP7MFXqBj+1TnHJOyYhJ0PjJdo5RPkcsQoVOvD0ojGdA2pwoRzJ0o8svFP4qrNyoSzJ/g1K5OXatZDJTlf46yWJN4LbkoDtZ4+GYfZa3Hv0Pef1mz2WjIYqK/FsuDGhKmLLv/TSCpGVK/DwvqNsArBvqyMCjtnRMGz6CQ1PXRhJNrd98EWQjBpikT16iX/UGekw7LF7i/jZiHzpy2blsUs+ztkzeJYGZwylIYN6wV9nq7YhotaLTFwsMSIURKffAxXrriexTJI6nK50y6OCI2BT0Juw1dS0TvjMEes+Ut3tD//RN4LY6GEjch/A3LVatiaNEOdcI7AZ/uiOnvG5b3CYsF6Iv/MGpXBgMit2IGs/ZZMqqp9qavxK9d7mssBvHXmHInCxMCqNW+Jd99KWi0z6kQwJv5Yib5NR6zZbDElMz2gdMs23YFKktBKKkYZ6jL+wnEu6I0YSni2SprFyt4s97YBdv0gOHcu32X6rSAqWuLBhyXmzhIsXSSwWIrWWfutV2nn47ljCRT+ffxrvzq7zen0yYjlrM3IyBK6/u0QVIl3IppwzJjL/2WkFFp68E9FCMHm1MsMPHmEnpXDaBsYfNOPkSRJPOpXlfeDm/GrJROzkEmTy+eu8oLdyOs5Z2mg0dNSG+i0U3UjtXx1ROv9kZDIs8v8dDW9XBoUvIMU2cI7uRfc9r4lb0NpHcFFRUtcuJC/7t+d+CCx8ibHOfhIKn63VtyBrTab4MDv0M65N9wKoV9/iUqV4Jm+gu93FrXpN+YUtxx26gqVJPGMvibLg5ogI4i9eIqcZs2wxnSssDi9Fh8f8l58mZwZs/GfPhnfjeud3ma/eB7b8aOA+84xK46d5jSnTl5Kw76sDN6/cpGVEU0YUrU2xls46HabfyDdKoUy57zrDizk7/Oeln2KRUFRLs/08gQWm8wXdW6ns64Kz2YeIbsEhzOH+viQanWfq+qrVwXNb4M5893rwKIsTJkmUas29O8j+O3XwnXWHksGMR4430rh38u/rnOVbLcwKvMo35lT+Si4OdFlOAy4sd6fbpXCeO18PMsSE7DK/8xZEyEEa69cJMFsYmNUC9oFlvwUeMj3PjTOvz6psoXD1mwu2I2lntGzCplluQlMyjrJo7ow/CR1qc7hAGgbGIxKgu8y0hh1+ijJFXQugYJnaKEN5LgtB5Mov4vfM2cEI0ZR5MDgkvBoT4ltW8stoRCLcxMIlopf/tZCG0CsteI2Rms0EivXeL7xotVKrF4r8etewcjhMpcvX68rHvCtUqa6uLSEqX24TRuIZLWC2cR3ptR/3SqEkiKHNyDrww1Yuj6I78b1SGlpha7bzp1DXbee4++g2QsqTMtJWy5jDfUILcGg2o1cW0ny5sWztA0IZkmDxtTw0REiaemfGctVD+0RdsaTodVp4R/gciDWLgQaJBYGNqKyquyOs8rLV2nJrEg6T4BGw72+lfg05DYkYGVu8a78w3x9SS2jJ0pn7PwWJFW+y/RbjSRJ9HxcYtVaia2bBRcvCKzW/HSc7B9OlMa9B0Yr/Lf413SuZCFIky18b05liKEWswMjnW4oLw3T6zSgitaH3sdj+T274kaa3Y0QggyblbVXLvJctdq8WLMePuVYGlNTraOTb2V2mzPolxnn8sTwG8mRbfTOiKWKyoePg5vTsByVlb9aw6x6DRlavTbPx+c7vFD459JdF8ZXpvLt8bBaBZPGC8p6DMvDPWD/Pvc1vNNlK8/pa910dLqGypdLblwWeSPLlwj8btHJEnqDxJRpKka+kH82liwL7HbBM5lHPKZBffoUd+47iIiM4qA1i+cy/+RiBdrbq5EkREglLN16IAwGDFNfQUrP72RdO+PqGsZtmxEVNJCYKlsQZXBkc95kZNCpPzlmzOWlWvULDRgYVGom+zdg7FX3nD1VVh6pXJWVSRfIsRedCdpvzeSYLbdc377yciwvh09SkphR5/qZWhpJhb9Kw1B9bdbnJbIi97zT5Y2BGk2Z0u1GZFkwb7bMIz0hJOTWd6wKEhwsMXehiuo1YPU7kGG0807uhVs+s6bwz+Yf17naYrxCTOp+NEe+JCZ1P1uMV0i0m0j9+8T3Pvoa3OYmN8eSJNE7tDprGjZlQ0oiF8xGRwW0JfUKMXH70Wz/kpi4/WxJveKWOEuDMw37sjLofTwWnUrFc9VquzW+p/U1WBAYyfzsM8zPPoNR2J2mB8D7eRcRwIfBzejtV91tFVVzQwCfRrWgiSGAuNxsEkxGwDvSw7hlE8kx7YjVaEiOaYdxyyaPa/AWHTdLj8d0VdlXzv18Gz6GRx+T8PNznbd8t2wiJKYdaDSExLTDt4At/Pwk3loikZXlnobZopxzTg87vdEWW9OSaesTXCEzKhkZgn7PFB0Z9nSeaNwk30PX2TPwxXYbftb8ga5tWwSdY2T0mqt0jpHZtsX9NtC/Phdr23b4SiomBYQzMSCciVknWP33UlRXdZan8WSdJfwDQKfD3P1RAocMwHfjeuTcHPxOn3KUj9qbN6HbttntcX9pSiZQ0hQ72HmjLTalJLE0MYFXzp1kSu1wGrs4i6m1TxD3+1ZmYU7xS/NKQnnKyIjqtTmWl0tagSV0203J1FP70baUe3fcWVYzbVYmnzvJ4vBopwOsKkmij191giUNT2XEcsiS7zX5WhnR/vkVx0Nyy11GFr8FtWpJpTr+YssVDTG/69Fsgpjf9Wy5UrFnFKnVEiNHS+zea+f3YbU5E59fN3mizroZ18pH9V9/dEtdMXLkEA4e/L1Q2KJFb/DVV86XciQlJTJ06AAADh8+xOnTpwDYvfvHEp9JderUCd5/f02R93bpEsOoUUMZNWoozz33DHFxh4t9T8E4t23bjM1LndB59Jwrq9XK5MmTuXTpEhaLhREjRtCpUyeX9994psAW4xWGXf2ryH13aIPYWun2CndvaheC5YkJVPfxZWT8sSLXV0U0oWeV8h3sVlK2pF5h2OmitugQFMLahk0J0lSc62EhBF+bU0m0m5iSfarI9Wf8ajA7sGGpl/+VliSLGT+Vitnn41nnZCbLk+lh3LKJjGGDioSHrHoPv569PKLBW3S4yps3podVyBiFTGAZZpjzcgUD+gs++cz1B9t3yyYCndgia9V7mP+2xZl4QUICdLyvfJ1/k7DTPyOOz0JaFBpIcGWLheGRdKsSRhU3LxVaOE8mpqNEm7bXNdzqPPGzOZ2lCyV8jwbx4/dFry9fJfFIT/cMvmgOHUC3cT05C98uFC6EINaWzT5LJtOzTxd5zh2HcpaGkpaRCsFqxW/lcrRff4nvwQOO4CtAEGApUD7Ki0nY6ZMRy6chLVx6XnNliwFhNVhQv1GJBuZW5V5ggL4mvmVsA7ijjBzJzWbBhTN80KgZf9pyeCvnHO8HNyuVd0B3l9UzxjxyZDvNDcWcBfc3qbKF2dnxVFFpWVJwuWAmEFz2MvLt/wTffyeY/0bJlypvuaJh2LGijk9WRRvpWbViG9MvZB5lQGYDVs7UIknw9fai97izzroZFVFX7NjxNQcO/MaUKTOA/LZ53769WLduI35+Re2elJTI9OmTWb36A+bMmUGnTl1o2/YuRo0ayssvT6ZugRnw0lDwvQDnzycwZcrLfPTRZy6fKRhnr17dWb9+E76+7j+HraR4xTlXX375JcHBwXzyySesWbOGWbNmler5RbnnnIbnCnuFd6wg35Pe6Jr1WHDxrNPrixMTKlzDNRYlnnManmq1VmjHCvJn9B7WhfKx0fnSvN+tVyu8YwVQ3ceXYI2WHzOdO7rwZHpkL3rTefjitzymwVt0uMqbN6ZHvC3P4dmttPz6KwweUvxIqN6FLfQFbBHeQEKng5xyOrbYbkqhmy6sSOPBlS1WJl3gagk2lJcGq1Vw6ADc2aZw+K3OE4et2bwwQXC66DgM4EavjUKgf2sheS9NLHJJkiRaaANZn+e8zlqc67m6AkpeRioErRbjC2NJP184LgmwUbh8lJcP8i7Rz69GsS6tXdnit5ysEjfGhxlqs9l4mWR72fbjuqOMNDME8HiVakw6d5KZ2adZHBRdarfr7iyrX6YlY0OUqGMFUEXlw6KgaL4zF96bhz8gylZGsrMF6z8SvDa3dHtAF513Pui02EW4uxBCcEW20KqeL6vfk4h1MYlSEZ5mXVERdcW993bi0KEDmEz5y6V//nk3d97ZBj8/P/744yCjRw9n9OjhDB06gPMF6onjx4+xf/8+3nlnCd98s53Tp08ye/Y0rFYrmzZtZNiwgQwfPojPP98IwJw5M5gw4UWGDx/E7t0/Mn36K8Xqys7Opnr1/GNMkpISGTNmBCNHDmHUqKGcOnWSvXt/ccS5desXpKenMWPGZOx2O/Pnz2LcuFEMHtyfNWveAWD37h8YMuRZRowYzGuvTUX2oP+Eip1nvYEHHniArl27Ov5Wq4tvgIeE6NEUcBl68nLRJTeQv1nWVe+xIrhkce716nheDglaGzNPnigUvqhJMzZcusgrDSMZFneYK+brz99fJZQOlatw3piHLGDthcIFZlOrO1gQf5pXIhry2IHfCsTlfN/TSaPnbOEqPU7Z8jyaHolW5+nhSVsknjzuNNx28jg5g/oWCgsZOBBJq0Vbsya5e/aQ8+23jmuasDBqvfsuybNnE/z00ySOHl3o2apTp5J38CDBvXqR/PrrmI9dn0H1a9UKWzE6PJYvjC7K6Q3pEUoA32YnYzD4oS/F7FVamkzLVoKGDW/SgXdhC80NtsjNsbDzW8GQYWUf/dqZcIwPat1OgLrwwIYrW5w3mUg2yLQNdF+abN1s5ZHHZMLCCv+O4vKmJ/JEV311mukCSbzkor446Xr0r1TIMsycjm9T164j4y8bnYZ7+htS0jJSUQghMN/g4EJDfufqxvJRVq7arezOzuTbunc5zjF0hrtsMUyOIMVuQS2pqaQpXSPcZRk59leh+ju4Xz80lSqhCgzEFBtL1vbr0xrq4GCGrFvH2aEDaDFwMNrxz1LwwIWwSZMwHT9O4AMPkLpyJabD11vuuqZNqTJmDIkniq6IgdKX1R9TU3gyog4BZRhoLfJdzwAqlb6MZGYKzCaZr75RoVaXrpN50nmW4GSeukLLx1FTFrfZgh1xXE5yvtfebXXW33xy8SKfXLp+/qNakth2ZxteO3nCZfk4kZdLmg62XbnMzwXKcj29nmXNmt8kxgC6dLmfP/7YR48ePdi582vGjh1LaGgAKSmXWLToLapWrcrKlSv57bef6d69O1qtmvbt7yQmpgMPPfQQHTp04LvvvmbGjBnk5aXz008/8PnnnyJJEgMGDOCBBzqh02lp0eIeBgwYwP79+/H11Raym9lsICHhLOPGPY/NZuPYsWO89tprhIYGMGvWcgYNGkDnzp05duwYU6ZMYfPmzWza9AkzZsygQYMGbNiwjuXLl5KSkkLbtnfwxBNPYDab6dChA5MnT+Cnn75nyJDBPPzww2zduhU/P4lAN35zi8OjnSuDIX9TZ05ODqNHj2bs2LHF3p+RUThTRWr0HHPiTCFSYyiyhLAiifTTc8xJ5yZK709dq4b36jcpfCFPZlhIDdJTc5hXI6LIc1igpjp/TfndNzyblZ7HiJAaZKblFnpvTHaOUw2Rfp6zhbenhydtoYmMwnas6NS9JjIK//c+KRR2zfeSBaB3Q/x7Dyh0PTU1B9XwsWRBkWdzAepHkwFoX57KjZ9OzWebXOrwWL4oRXoczcvgREYmvf2ql/j9ly8L0tPyNyIXR+XAQFQZRfd12SKjyCig454OgkH9BY8+VrZRb5uQWeLXCFO6CRPXHSdYZJlKGi0pTlwZR/rpWZIUTzuz+zzoffKxzOz5EikpheNzmTcjIj2SJ/4wphHp50PDSDjupO3YMLLoEvCyoH9zAXnjJkAx73JVZzXQ6D1WPlKsFvxVaq46cYDgqTrLnpqKOSCQulczHWEa8uskW3hEofJRVjJlK6/qwklLLf5MN3fW38esWWVajueyjEQ3KVQH2/7+B0CDJvg/VnjgLO5KKgNmvcVVqw3Vmo/QFxhAzgOIbE4moBk9gRtLfiagaRRd7vr7SG428y+c4YPIZpjK4MiqSBlRAzJE+pY8PYQQpKXC5ctQJbT0y+ci9XqO5RYdPIvU20lJcdHzcgNbcy9yh9rf8Tsrus66xv2+QdwfHlQoLCUlmxEhNdjod8Fp+WikN1DZBIOCqjEoqFqRZ29G584Ps3z5Yho2bEpaWgZhYXVIScnGzy+QadNm4OenJyUlmWbNbiM9PRer1U5KSjYmk5WrV42kpGRjsdjIyMjj9OlTXLx4ib59nwbyZ6COHDmByWSlUqWqpKRkk5mZh9lsLaQtPT2XunXr89ZbKwBIS0tl0KB+1K8fxYkTp6hfP5qUlGyqVKlFYmJSoThTUrKx22VSUrKx2dT89ttBdu/+BYPBgNlsISUlm6FDX+Cjjz5g3bqPqVu3Hi1atMFsdu9yTq9YFgiQlJTEM888wyOPPEL37t1L9exYF2dkjDHUdYOyUuio4UJHDc/p8AoNXp4edwcGE5frmQaTYfhIp+EBY8Z5JH5HfGNfuuU6BobVchreXOvlow8AACAASURBVO9Ppq2wW99HdVXZWorN0pcuCnZ8ne8wwRWa3/aj/WkXOXMWOr1uevxJpJTrm3B1OolGURB7uGxLPb4xp5JgLzwjku9Y5jA9KoU6fWZMjXr4SJJb3NFD/pLARcskp564XOUJbZNmCKsVOadiDzRup83f0P/CWOdpNmpM+T92qstJ5L34MtykQe2qzhppqMMm4+Vy67gZv2ZlYpZlRlZ3fvaip+pv+7kzEHNvoTBfwAdApUKVeKlc788TdjYYk2hSAvf77rRFC20gD+tCmZsTX6rn3FFvmoXMHksmldQ+1PLR8VEZPNqWV0ea1cK0hFMsbhCNtowegouUERVgL913/Y0FgrNnoGmzspXtsXWcD3SNcRHuLh7RVaW97/UjayqyziopFdXWa9AgAqMxl88+28DDD/dwhC9YMJvJk6czZcoMqlQp+v2SJAnxt2M3lUqFLMvUqVOXevXCWbp0FcuWreahh7oRHh7x9/0lz4eBgUH4+Oiw2+3Uq1ePuLg/gHxnGJUqVS4U57V3CyH4+uvt+PsHMH36bHr3fhqz2YQQgi+/3MLgwUNZtmw1Qgh++mlXmWxVFtQzZsyY4anIUlNTGTBgAJMnTy60PNAVeXmFC1K01p8ItZ4zdiMZspUojT+zAxp6dCMyQLTenwidnjMmIxk2K1F6f2bXbegx5wleo8HL06NXlWq8eeksv2Zd5c6AoHK5oy8OIQSauvWQAgKR09KQM9LRRDUmaPZ8jzqzANBGN0YT0RDbmXjkjHQkPz+Cl65E/9gTHonfLMtE6/2p7uNLosVcKD3G1qyHAEacPkpjvYFKWh98JBW/Wa5SU60r0Rk4M6cJunWXCA0r+nHT7v4R/TtLMT0zELluPexNmmKPaIj6TDyqjHRsUY3JmT0fa8vWBEx4EclsxtasOUj5h0nu2wstW5Xuo2kUdkAi6u9GpBCCX7Mz2ZyazJvhUXSrHEaETk+8MY80m5XGBcrpCVsuQSot1dXl34y760ewmHFul2t54uQJ5KuZjrwZMH4S9qREMv6fvfOOj6Lq/vAzs32TTSUJJSSQEAhNQFRQEEQRKypiQRFREBRFAQVEBCmCgoJUaYqFIqAoKvYGWMEXkSIEAiQESEJ62WT7zvz+CISU3WR3s4m8vzfP58MfzE45mblz5557z/me0Y8iBAWjSmhbZzuqstdWRJrTTBtlAIntBeLbwMkTUFgAie1h1hw/JIbbbAQ9MhTr3feCsuZgDHd91j3aKMJENbttheRINqIV2rrZVIUjphIskpMCh4NOAQZ6BoVU6rNaa3XMbZXA4CZNaz+ZH7D+8Ru0SUC8Y1D5+yG1TaT08SexrHgLOSAA/dI3sPf0rRJ1geSgjzrUozyb3cYiYtRabOdLiNT1W9ZJZeB7ay7FkqP8vayNC++I7fdfke12r/vvv2xF/GjLZ6i+LF9EIQhcYQhmSfopugcGebyKVhc7nLLM48cPMz2mDa21vtdiqPiO5Ek2QhxKhuta8GSoaye4Kl99IXM8GYY94vv3tn2gRBudxH6jgmKnQKLeydw21noVs5BkmTWmM/TRXCwefKHPSk0p67PaJfqpz/KC+h3ryWzY8D4vvPASKlVZHExeXi6rVi3n+++/QalUIUlOunTpxs6dPzJw4F3k5eWxYcN7dOvWHaPRyKZN6xk8+D5KSoysXLmUbdu2olZruOGGG/n115+Ji4snOrolmZkZHDuWRL9+/cuvXlJi5L333mbPnj/45psv+eyzTxgw4GZ69+5L+/YdeeutlWzf/im//vozkya9QJMmEZw5c5pNm9bTr98NpKWl8sknHzF48H1s2PAe3377NX/+uRuFQkHfvv0QBJFXXpnFjh0/4HA4ePDBYWi1/u3bAwJcf78bVC1wzpw5fP3118TFxZVve+utt9z+sTUtbZbFhjZc6NmlbEejDTXbsaMwj6UZacyKTfA4udcbbPv2IhUWor2+v1sb/g0iIgxk/LwHZdt2CLXkN/oDWZZ5LvUod4c3pXdwaLkNVe9FmsXMjLQTdNAH8EyLWE44Tey3G3no/MDEHUeTZFavkFm0rPJHW8jJIXDWNKSQEExTppXJTlehmh0OB7p31qD+6QdKXp6HM6Et587JGAIhINDzD+eH5kysssRDujLbF6afYmJ0a5f7PpJymPfiLob2fmPJoVB2eBUS6QqbTSbpCHTpWrPdjrRThOpEjJGVB0my2Yxx8es4Tp4keNZcFC1crzz6wrKSNLqpguhdYTY4P09m/itK5i/0z6qddu1q5IBArEOGenWcq7ZZKNmZa0xBQmaaIZ5QsW7iQKVOJwvPppJuszA7NoEodfUPcUSEgdf/OYoCGBbVok7X8xTjwvlo+lyH+soe5TZkp+dh2/MHmmv7lu0ky6i//hLVvr2UPjsZ9J4N2FMcJuaXpLA6pFOt+1olCYcsoxNFREHwW99plyX22IropQ7xSkiheM5MWs1+iXyb545BltPKE0WHeS+kM8FV2sv2vGx+Ly7k1dbeTVzIkkRkVLBX98LkdJJpsxLvxyJ3zhAV286coac6hGhN7YPSo0kyc2fLrH1fQK2uuwOy4oyKbblaVrUrIV5fv0NVhyyhwL3wxqXyXW/k0uKSCAucNm0av/32G+vXry//528vspFGqtIvJJwPErsQp9WxJvOMX+sLWX/eidgkotyxutRQte9AyaLXG+Ra72al00KtLXes3BGr1fFu20601wcyIeUonVQG+qhDMdUSIrdogcyEiZU/fIKxmKCnH8c86glK58x36Vi5RKnEPPpJjG8sA0FAtfMnTp90UuRlrfBt5my6yAaGHTvIUXOpW8cKQKeo3N3epGnC/dq6r1R89w3s/U/t+znTz6IID6+2XdDpCHrhJQyTXsD81XakokJkP9UOOegwcpmq8jMJCYX8fD+9gyUlaL76Auu9Q/xyuhBRxevB7bhP15SRhYf4vQ612HYV5fPQsQNcHRTC6oROLh2rCwyNaMa2vCxMvlbE9hLd/Q+i6lQ56V1Qq5Eq1qwRBGy33o79iqsIHnovqp++9+jcr5ekMjHQ/XtQkb9LivnHZKxR8MIXVIJIL3UIb7hRGHZH4IRJKIKDa9/xPDZZYlxREvOC2lVzrAAGhkcSqFB4XfTe+vNOSv/4w+P9ixx2tuae86tjBdBUpcUuyx6H12//TOaNJf5xrADSLSI9wiHLC2fXV94oOcV+R6Pz1Ih/+K8rItxII76gExUEKpTcH9GUJHMpKzJcV6T3BsfJ45QsX4wismHDIL0l8NnJOFK8y0Hwlt3Fhew2FjKhRSuP9hcEgYHhkayI78CBkmI+Lcii2Gl3u78sy4x6XCAmVriwAd3K5ciCSNGmj3F06eaT3VLzFjjbJCAbDPRoX8SpVT947HwfsBaTm29jUXoar7RqS3s3hU4vsPWKqyr9XxAErwd/rvj4I5nBHkR9mj/9GNnqWlkTQNUukcBRY7Af2I/zVCrOc5l1ts0oOarVMRNFAX/Nb2i+/QrzqDHg55XZHuoQtoR2paMykLWlZ3F6YXCRw84fxQWEK1VsaNeFG0Ob1HqMShR5JCqat8+drXVff2DeugXBRT0b09Yt1bbZbr6VovVbUO/aicbF7xU5YC9GLyhIUAbUakOWzYpKEOhh8K7IrqcIgsBzga35yHzO477e9N5ar66x0ZzBw/oWtKvh753SMo5vC/JItXguxKDp3Qddly4e7XugpJjdxiIerqdVz25aA90NQTXuI8syG9bJTJoiugxN9pUxLW2MT4BW2vqX0P7bbqSz0n8CQ438b9PoXDXyP0WwUkWiLoAQpZL7kw6wr6TYp/NIxmIKJ00gZPGbCJf66qssUzhpPFJJ/c3KnbSYeCMu0esZaEEQ6BIYxDMRrXjqVBIbsjOQXAxkly6Cy68ATCYC5sxE+8F6zGPGQmBgrSIGnuDofiWyRkvgnp047n8MMatmcQOHLPFKRgp3BUXyTkInYrTVB6pVeeV4crVB3oO65tjq4OSnpsiEhtaunAggnctE1bzm0EsATZ/rUMS3wfj6PIpemIhU7OVy3nnsskQvtetVTH8sVAgF+dj69MN28611P5kLVIJIsKjiHl0UmZKVBSWpWGt4Vk5ZZktOJipBJFSpolOAgQAvnL6BYRFk261+XVl3R+BT47w8IJDSWXOxDr4P3dJFYLHgykP+0HzO41WrRemnaIicBBGYZfRscknT7waPz/uzNZ8HdM24VetatOYCCkFgVUIHghRKsm2eCTLYDx0ge/78WvfLsduYefoEVxk8X23zlihRwxOnqysYVqSwEG6sPY3ea7acU6FXwElz/Q5VjZIDnSCibIB6qY38b9DYkhr5n0MUBB6MbM7qhI6sy0pnRcbp2g+qQtHkZzE8Pw1F84bJkagLgkJB4ONPUrJiWb2cf3H6KR6MaEagom6VHdpE6DlhK2XosYMcNV1UsMvKkhk7DrQ7vid46L3Yr+yBZejDdTW7OgEBBK6aw5u6ZzA8/QTaD9ZX28UqSZy1Wvgo9xzvxHbmqchYj3M6xsS2QqoymlxnSve5kDLATz/C0GGeXV92OBBUnuUQCYJAyMIlaG+7g/xHhmL+fJvXg/58yc6Detf5ZJu31j18SczPQ5FZN1U7TwgWVbQQNbRVBvBAwX5+tVYPFTxYamTI0f2YJQmtKJJYyyqmKwRBYHZsAnuMvjmzniJbLBRNnezaBoWy5pBQQcD8zASE0lKCHxiM4p9D5T+ddVqYaWjjkUBLisVEnt3OFfXoFFxgsK4pCgQ+qkUNUnY4MM572aNzOmSJEFGF2sMhlFZUkOewk+/wzLkSIyJxZNWsomqXJMafTGJuq7aE+lDPylNClSqOmkrdrv5t/0xm5XKZqCj/izxMiLURoYEOAfW7cvWbrcDtRFAjjfhCo3PVyP8sTVRqFse3Z3hUC7bmniPdaqn9IMCZk0PQy/PQ9OhZzxb6D82NN2P/+y+cFSTI64osy+wvKeapZjFeJY274xF9C0wGiYWt27Eo/RTnbFYcDolnxkjw7Q+ofvmZovVbsN10ix+sd01cnMB+Z2dOr9qKvevlKPf+iZh2CkmWWZ+VzojkQzRTa+gZGsIfdu/ycZampvCPqbLseVdVEAd8jPO32WTuvR+6X+nZvRd8GIBpevchfNPHZSGCFguOM55PRORJdgol1wP11SttGI2+r1uIaadQHjqI47KuPp/DGwRB4A5tJO+FXMaX1hxePb8SIssyM9KOszrzDMvjO/BIVIs65Q+JgoCjnleuHGdOuwwJhLJBvZSfX+s55PBwjEtWoF++mIAZL0JJCUn2Eko9LC2w4Gwqk1p6tsLlD6YZ4thuyeaw3X3ZASkvDzGsek5iVTKdVkYU/kNnZaBXz7qtLoAAhYKpp5Jr3VfRJAJHdnaN+yzNSGNIRDM6+ODIe0uoqGK3rbrTf+Qfma0fykya4n/HyuKESckaFAKsy6w/5xGgjVLP7bWsQDbSiDc0OleN/M8ToFBwR1gkUWo1z6Uc5ZTF7HZf2enE8vUXKJrUnkdxKSEIAoYJk7F897Xfzvn2ubP8XJTvcz2VqrRXBXLGaSFIpWR1QifCBZEnV+cwQ7sAxa03UjpzTlkYYD0z7BGB1DQFzg4dkVrGcFSrYfOrM3GUGHm/XVlx0mSHif4a79pApEZTraBwF5WBAz6uXOXmwO7fPd8/9P0Pat/JBYJGQ+DoJ5FMJhzHknCknEC2u8+Pu8BJp4k4hetB/Nhn1J6Kz7kkYME8HO3a+34CHwkSlbwa1JZnAlqxNDeNH0vyGBbZnDfbdKhRsMIbugYamHcmxS/ncoUzLRVlbCuXvwUvWIwiMtKj80hRTTGuWout73Xkz51GjKghxAN1RZsk0S0giLa62vOy/IVSEFkW3J5YhZYiyXXblXJzECNq/tstspNxRUm8ZIj3aUKppUZHiELJuqyaV1wFrRaphvzIo6YSxjaPZWC4Z8+qrkSKar60Vp6YK8iXeWlamYCFSuV/5yrDKqAVQS3C3qL6Vbvdac0nyg8lMRpp5AKNzlUjjQBqsSze+qlmMUxPO87S9FPYpcqhCPbkY5S++xYBDz/6L1lZN9RX9UDb/ya/CBX8WlTAXyXFPO3noqfD9c1Jc1pQHjpA6AP3ot9u5PgbI3ji+GGybO4HG/7khv4CNmuZtLEtMpJ1ZiMDu/dg/MTn0H/zNUfsJfxozfP6vFEunKumCg1ZTt/+roMHYMDNng1qnJkZmDau8+k6F1CEh6PtfxP2Y8fIG3I3tj/31Lj/RlOG2wHo0sU2rxzDSnYc/gdZFHG27+DbCerIWauFT3OzuDcoip76ENba0znmKPXb+QMVStKsZpLN/jtnRRynUlG0auXyN8s3X2E//I9X5zP1u4HHJj1Mwu69KPfshlqUJj/Pz2ZUs5ZeXcMfBIsqsiQb++yu82ydOdmIEe5XL2RZZmpxMo/po2njgWCHOyZGt2ZXUT5/1hL+GTHOfV7cSYsZpZ8VFmvimsAQ2ioqz4akpsKM2QLhTerHjgyrSHONhCBQ77l5g3UNU1/OVz7bJtO/r0RsM4n+fSU+21a3O7Jv3156976CH3/8rtL24cOHMHfuTJ/OaTKVMnDgAEymysItjzzyIGe8iHioyq5dO8jN9V/ETUPR6Fw10kgF4nR61rXtTHONlhHH/ykXV5CKCil6/ll0A+/6ly2sG3KpEclYN2GLM1Yzi9JPsTAu0S/hgBW52aEjeuZ0dCuX8+XgVfQdFc+dTSN4qnkMT59MYu0575TbfMXocPBdbh4ZVitzWrXFcNOtFG38CNW+vegfe5jhitrDh6oSpdGQa6+ec/FyUILX50o5KfPD957fByEoGP3g+7y+jit0t9xG2NvvY9ryAYXPjUMqrB4emS/Za1zFiIwU8DVCNWDBPEwTp/h2cB1wyBIrM08zOfUYVxqCaabWEqhQ8lRADK+XpPKK8eT5otJ1Z1J0axacTfXLuaqijIlF1b6jy9+01/dH0cq7cL2N5kzu1jZF7NMPR4+eGCaMRbf6TZdOlizLdA+sWXmuPolX6ummCuI1Y/WVQXXXbujucl+sN1uykagMZIC2blELoiCwOK49W3Iya8xjdOTmVtuWZbPyXMpRbguL8LgwsT8YHtWCa1QhpDjKBs6bP5Bp1hw6X1Z/Npy1CkRr67+v32bO4p865L3WN59tk3nqcZmjSeB0wtEkeOpxuc4OVmxsK3744dvy/588eQKz2X3UTm3o9QH06nUtO3f+WL7t6NEkgoKCaNnSswLUrvjoo02UltbPRFN9UrcM9EYa+X+IIAjc06Qpd4VHctpqYW9RPtc/P5mgF2egiLq0Z7hqQxnXBvP2z8BiQdX5stoPqIIkywgIvBGX6JUSmkfYbOjfWsmJvn2h5x0kmoXyJOnOAQY2JXZhXVY6X+bncHNoE9R+CkesSJbNyszTJ+gYY0D9SUtixlQYPOj15EydxsLDP7DcJqDa/ik2L5ztjoYgbCHVV6mOO0w4ZZlElechjxvXyR4LWQCYt21FDA2DRx70+JiaEEPDCFm4BOvuP5DycnGknUJdQQ7/oN1IF5X7mmORUYJHtbmqIUmYhw1HqsPH2hcybVaePnmEu8Oj2NDuskq5NtEKLW+HdOIrSw7DCg6yMbQLmjqqjsVp9YQpVew1Fvld9EEIDnUrxGP94zccyUcJHP2kR+cqlZx8bsniw9CLuW/GJSvQfrCe4CGDKZ02A0fXy4GyvuPx44dZleDasWsoQkQVdmQ2mzIZUkFwxfrbrygTXBf7PWg3UiI7GB3gnxU3g1LJwrhEPs/LdtuX6a+6iiJZLp/AskkS41OOMiMm3i82eMOBUiMtdBqCFAr2/SUzaDBoNPXr3LXUyDTTlEWPdAtyYpVAUw/LAd9Zc5lt8H6Cq6FYtti1E7V8icydg3x/Bm3aJHDmzGmMRiMGg4Fvv/2KAQNuIeu8Uu7HH29h164dOBwOAgMDmTv3dT7/fBuHDh1g5sy5zJkzgw4dOnH33RfrgAwcOIjVq5dz660DAfjyy8+5445BAPz00w9s2bIRURS57LKujBnzNGvXruaffw5iNpuZMmU6K1cupbS0FKvVwpgxz2CxWDhxIpk5c15ixYq1rF27mqNHj2AymWjVqjVTp85g7drVnD59ioKCAozGYsaPn0yXLl2599476dChIxkZZ2ndOp4pU6ZjMpmYN282RecLWo4fP4n4+DYMGTKIzp27cPp0GmFhYcyZ8xqKOo5vGleuGmnEDUpBpJVWxy07drKr++V8FhvTIDLJ9Y2q2+UYF8zz6dhP87KwyRKxHkiPe4zZjOLkcdTffo1pwiSa9R/IysxMzp6pvJtCEHi0aTR3hEfy9rmz2CQJs+SflQJJlnn33FmePpnEk81iGBsTw+4/ZAoLKz/vQ3Yj/eK7IIeEYu/ZC81Hm1H+/ZdH1whUKKoJWgAM0IR75VhZLDJHDkNXL0p7OdPPomjhf2VLTc+rUcYnIGWdw5mVhSPlBADHHaU1OldRUSK5Od6/S7pli7D3a9iC3e+cO0uYUsXqNh15MLK5WxGDW7URbA7tQons4F1T3etVTYxuTZRaXefzVKOGnFJFeBMkFysm7iiVnbwQGF9ZwloUsTw0nOKVb6Nd/z6CsRisVrbnZ9M5wNCgKy7umBIYxzfWXPbZLoYIam++FWV8m2r7ZjttxCv0dFX5f8Wtc0Agdll2+V0p2bULqUJJiOlpx3kosrlPSpR1JV6rJ1RQsfQ/uSxbLPu7rJxLtAq5fOVqZAtbNaVVfyDJMnmSnQhFPbxnXrDtY5nhQ6XyfyMeLnMqFy2QOe5G/+TYUThxXObNpZWPfXGK58qKffr04+efdyDLMklJh+l0vrC4JEkUFRWxePEKVqx4G4fDQVLSYQYPvg+r1cLcuTOx2+2VHCuAjh07UVxcTFbWOWw2G3v37qFv3+spLi7inXdWs2TJSlauXEtubjb/+c9uAGJjW7Nq1TtIkkR+fh7z57/BjBlzsVotXHNNb9q0acu0abOx2awYDAYWL17BqlXvcPjwIXJyykRfNBotS5euYvr0l3njjbISBjk5WYwaNYa33lqH2Wzml192sm7dO3TvfhXLlq1m8uQXWbDgVQAyMtJ57LEnWL36XQoLC0hKOuL5w3ND48pVI43UgG3vn+juGMRtWi2rMk/zcPIhZsW0IU5XdynpfwtldEsUrVpj/e0XNL2u9fi4T3LPMSC0SZ0l18txONC9vQrVnt0Uv7MeZ3zZ7GFpjsh3vzoY+6gTd13Uk81jyLHbGH38H55oFsNNHhRqdUeO3UaRw44MbErsUj74u/tegY8/gpGjLu4bLqrooS4reipHRGC77gYCZ09HMmzGNGUacpD7VQaFIHBtUHW5X6PsZL7xOPOC2nlkb/IxuPsewauQzDLnqv7yXLQDbsGZkU7x7BmoOnVm5NjxCCr3CeKtWotc29fLmmjGYsxjnvZPkaxakGWZz/OzCVIoGdQkCo0oohFrH4ApBZFwQc1wXQvWlJ5BJQgM1/mmINhEpear/ByKHU46BvhnQC3LMs4aariJERFIeZ45V6WSk+2WbEYGRLu+VkQEJQuXQEkJqvXvsaVbJ9Z27eGT3f5GIQgsCU5kbFES76nKRGqKZ7+E4bnJwMWixmbZyZNFh1kQlEgrpR8nlM7TWqvn7XNnEBEY0bTyfbSnp+M8ewZF02YcM5USoVJzW9i/o2i3t6QIW4GC7+eGsPTtUpRK9xMn/sLiFFCcf20OGRXE6SVaKvzrYSU5Smlfh/w5fzFosMCgwdX7iAkTBb7cXhYSWJV2idAmQaBNAjyFb33ijTfezMKF82jevAVdKkQeiKKISqVi5swX0el0ZGdn4zgf5jt06CM88cSjrF27weU5b7/9Dr777muaNWtO7959UalUHD9+hsLCAiZOfAYAk8lEenqZqEtMTFnedlxcPHfffR8zZ76Iw+HgnnuGVDqvRqOloKCAGTOmotfrMZvN5TZ1735l+Tny88vyoaOimhIdXfbN69z5Mk6fTiMl5QT79u0tzzUznk+RCA4OIep8VFJkZBQ2P+R3N65cNdKIG+TzghaCUolaFHmmRSvmxCYw+/TJeks2bygM456lZMlCj1fidhbm82NhPgGif6YslX//RfCQwciGIIrXrqs0YF68UOaW9no+sdRc5yVCpWZjuy7sNRYxKvkfMjyU0r9AidNBocPOl/k5xGv1jGgaXWlW/aab4ftvLs4q22WJpCrCBXJEBMZlq7DdfBtBwx9EeeiA2+sJgsC67OoqYaGiilMOz2PdtVq4d4h3H1MpLxexnhUuFc1bEPruBpQJbdl//23YalCsCAoSKCr04uQOB0GPDHVZuNbfpFnMPJJ8iONmE9cEhfpUQ0gUBEbqo5FkeKDgQI0S4DVxS2gTgpVKl4W1fUHKzsb2+69ufxfDwr1auRrqpo5ZJQIDWTvwdiYc/Ieoxx5BPJ3m8fnrk2BRxfshndlvL8YmSzhOHkcIvOg0yLLM5KJjPBkQUy+O1QVGREWz21jIH8WVcxdVUVE4c3L4u6QYhVC2kvlvEYqad6cGMvFlJ7/oG0Zc4Iz1onPVLkDCUQ+vvgDcc4mLWTw93nVfP3Zc3SeZWrSIxmw2s3XrZgYMuFji5MSJ4/z8805mz36VCRMmI5+vcWa321m6dCGTJk1lwYJXsbtQjR0w4FZ+/nkn33//DQPPh803a9aCyMgoFi9ewfLla7jnnvvp2LETAKJY9necPHkCk6mU119fwosvzmLx4tfP/y4iSRK7d/9GdnYWs2a9wujRT2G1Wsq/zceOlXmfKSkniDgvSpOTk0Pe+YmigwcP0Lp1HLGxrbjvvgdZvnwNL788jwEDbgbwe+44NDpXjTTiEqmwgPzhD6Dq1h2hQmhOrFbHu207kaDVs/Bs6n9tmKAYFk7gc1NqVfYCOGUxsywjjddbt6tzJySUa9JtdgAAIABJREFUGMFuR/PJVopXvl1WDLhCvkFKikxhIYy9OoztlprrvADoFQpejInn2ehWbMk9R6nT6bbYZUW+yc9h2LGDnLFaeCSqhcu/S6USuP9BgZLz4+JPLFnc5EZ+3d7nOoo2fYwjPgHdyuVur3uo1PUgWysoMHkghiBJ7sNEaiLwqXH18gGpiiAIcMedNH9vM4JSie3vv5DceFGt4zw/r3bLB1hvvxM09SuX/EV+NtPSjjMjpg0To1ujqUNen0IQGBkQzZLg9iwrTeNPF3WCakMQBL7Mz+GTvJonGjzFmXYKhRsZdgBBrSZg5Ohaz3PWaWFCcRJaofbJFkmWuS0sgm6PjKJ06ksEvjAR3fIl4IGcf30jCgISYJdlkGWECs97jeksCUo912u8F6/x1oY34hJ5/WxqpVqLyqgoLNlZtNRoiaxhFbghCFOo6To6n/u6GNhrr98i1xfYnn1xUuOkSeSrHP8HWp12mulcQ/jypcCdgwTeXC3QvgMoldC+A7y5WqhTvlVFbrjhRrKzs8pXkACio1ui0+kYOXIYEyY8SXh4E3Jzc1i5cinXXNObO++8m549r2HVqmXVzhcUFERMTCw2m638nKGhodx//1DGjh3NqFHD2b37d1q2rKw0HB3dkr///otRox5m+vTnGTnycQA6dbqMOXNmkJjYgYyMdEaPfoTp05+nefMW5SqCycnHGDduDPPmzWHy5GkAqNUqFi16jVGjhtOkSQS9evXh4YdHsGPH94wdO5rnnnuauLj6y18U5Et4dJiTU13B5bNtMssWlw0wEtqWefX+amTeoNm2Ff3ihSiTj+Jom4hp/HNYB7lXGqoPzNu2Yly8EEfyUZRtEzGMfw7d/6AN4N92ITudFIwYRuCEiajPJ2O745eifLbmZvFSTDw/FxWwOOMUyWYTbXV6xjdvxaAmUT7ZUBe8aZvGN17D8Oxkt+eySxJDjh5gcXwiLTWez95Ws2Hcs9iuux71rh3Yr+mN5EYYZOwTEhMmCsS3EfjIfI7btRHoPBjAXWB3cSE6UaSlRkeYSsW23KxKz+ThyBbsLi6klVbHhBat0NeSPCDLMl9/CX1udTKq8DCbwrrUbkRJCcrUk6h2/IR5zFg0X3xWfi9SY1sRPHkqziqx6gtKUumrDuNKdc3iBVs/lLntdtDpPW/bsixj3rwR/QMPERFhcNmv+pMd1jySHSYeD2iJ7eB+lPEJWHf+hPbW27F8+nF5f1Ecnkjsyx70F2YzwUPvpWjLNlDVvZho1TYxvnkrbg5rwsbsDIZENCNAVNSLIyrLMgtLT/FcQCsEQWCbOYvFpadIdphoq9QzPqAVg3TV+wurJDHk6H42J3atk7MHYPpoMygU6M+3P1f95o32zejve6DG84wvSuIxfTSdPBiY/lyUj1ZUcNUFYQ5ZRvPhJqTmLXBc1gU5OORf/55+aM6k2SMjmfbmjPLn0VsVypyghAaZlABIsZg4YirBLskszjiFfOQwHVPT6PHoKB5p6jr0sr6o2C5ax8FlPZxoxqbwelw71pae5QF9M/Re9MveUuyAKfuy2ZR+J8rCoxwOu5mV0fOY0d2/pT8O2Y21Olf/dttspGbWrl1NeHg4d1VR+rzjjpv4/PNv3RzlPyIiXLefBnWunE4n06ZNIzU1FYVCwauvvkpMjHvVp6qDgAuSlFXxpxfvCZptWwl6fES17cWr32mwl868bSsFLmwIXf1Ogzk3l4IN4P92UfzyDJRt26G/3zNltX0lxYw/mcRRF6GCq9t0bFAHy9u2KUsSUl4eChf1XWRZJtdhRwTCVZ4n/LqzwTx0OCWLqs90VbzeTz+W1ZkCcMoyX1lzGKj1vlDm86nHSLOY+akov9pvM2LiecqL+lxHk2T2xmaiEgTu13kQBgVlA8iPNqNfthjlseoB81Wfx2F7CSJlhZTdYbHIjBgm88FH3g2wZVlGysxA0bxFgzhXi0tO0VMdQs8LuWkOB6VrVmLauhnHP4eq7V9bf6HZvBG0Wqx3Da6zbdtys3j8xOFq29+Ia8fgJk3R+SnstSYO2o1MKT7GXhf1llYHd3TpYG3JyaTY4ahzfaiSlctR9+iJ+vIr3Pabb81N45ZR7kPQkuwlvFl6muUhtdcZy7fbybJbae9GhEH79irkoBCCxlZfLWvI7+kn5nPsWvEam4beXmm7u+dRX2zJyeTpk2X9hSBJGEpLKTYYGvQ74q5dvLZC4sF7lJhlJ8mOUrrUg8DHBU4e/YFtR5OZn19WcsEoBDIq4i3WdDBjjfNPm9hnK6ZYdnCdJsztPpfCWK+RmrlUnasGDQvcsWMHAJs3b+aZZ57h1Vdf9er4miQpGxL94oWuty95o8FsMLqxwbjodWwH91f6J5lMOFJTkGUZe9KRSr85zpxGMhbjzMnBmZ1d7VhZksqOlaRqvxkXzHdtQwPeB/Bvu5AK8hG0Wo8dK4DLA4PcppMuyWjY/AK3bXP+XJQH95f/E7POIeTlIRQWUPjIg4h/7i7/TXG+iGjpiWT25JwjKulIpWOFwgLEjHSwWFCknKj0m+LkcfSLFri0QVWLqt6by6Df9Rf/rxAE2vmYbDy/dTtOWEwuf/so1/sQq7fWO7jDGydPELDe9wC4CVGs2lckKgPIkGpOov1yO9w60PvJAsfxZKy//eL1cb5yyG6kk/LiYFpQKgl88mlki+ucuJr6C6HEiPX2O7HeebdfbFucccrl9rfPpTeIYwVwmcpAvuQ6JG5Jqev+4p4mTTlkMtY5DDngiadQX34F4L7fPLbkE2Sr+7b4tukskwI9y/9ZnHGKAof78D/LY0+gP59bUZWG/J6uyEtmT8/qq9Lunke92ZF5sdiq2m6n354/y+xowO+Iu3bx2qKyEHIlgkchzHWh5PjnxNkv1iIzyCWUCIHoD/ivTXxjzSFYrDnU8FIY6zVSMyNHPl7NsQIaxLGqiQZVC+zfvz/XXXcdABkZGTSpJcE6NFSPUnnxg3c82XWs7/Fk995jvZB81OVmZfLRBrMjw40NjhPHUez6vtK2sPbxlJw8Qkj3TuT+9TvOgouJs7pu3dAGX4ajKBtkGWOVYyP69KTwh38IubwjWVV+uyC7XM2GBrwP4L92YTl2DPuZM0S99orXNiS7Gcgnm0svjbZ5KpXQis/v+uvBYAC9HtUN/bC9MY/wXr3KfgsI4Ov2cUTs282jQ4bAx1sqn+y++yDzLLRoAkcPwsmTF3+LjYXjx1zbUEO7KC6WeXE6qNWVnYc0k4OvrQU8HOp9XaN0N4o/3j4TwWBDmBZJyxeDvQ8ROun6HXF1LxLMEhE693Z99UUpG7foMRi8s6Ho93QcSpnw89er7/boKBFoHVVdFTEjtXrhVqilvzh3CoxGuOYav9iWbL403tO0c64dzWSHezs+iLiKf4xGOgf5bue52bOJmj4dQRDc9puqnNOEYEEdUf37nOew8U6T7pWl191w2mQiS3ZwZ3wt766bdtGQ39NTJ4wkFBQBlVcGa3oe9UHF9mnVaDgRG3N+e8PZ4a5dFKaqy21wFJVi0Slpqa4foY/+uevpX8WBeydnBEoK/HYfkkrMLGjWvObSAJfAWK+R/04aXIpdqVTy/PPP8/3337N06dIa9y0oqPwhTGiLS0nKmBjX+Vn1RWjbdihd6OA72iZS0EB2KNsm4kiqHt6ibJuI4ulJlbYVAvS/ndx8Ezz0GBXnZ23n/xFUNiuvSOhc6djcQgsMuIPcAnO18yq3fuLSBjGqKdnZxQ0Sq37ksIxWC64KeMfFe94upKJCUAdB60QsPjzDtjo9SabqRrRQaxq4bSaidPFMHIkdKKjy/C4gT3iB/PvuQn5oJGJoGClmE/OPHWPdvQ+RIyvA1XFRsSADt1ZfUQhduMi1DW7eD0mSeeh+mTXvCgQGVm4zUbLAcwWnuNke4nV7cvdM2uoCvHomu22F3NI9iC+2G+l5tXc2uH0eLu7Fj6ZMwrW4VGQ0m2R6Xg0WSwluFoDcUpp0HEWr1kg5xnoPC5Rlmena1i6v4bbPimvjcn8xMwPlwSRsN90CfrLZX22iznYo9dWUJy9sd2eHLMv8VZBLU6vv/ao88B5yc8tEVdx9T53BTcg5lopaUz3/71NzFtdqQgn3QJb+hZNJPN00utb76s07Ul90K7aRpa/uKLRVNnC7qNI+n9i0madfmt6g7dNdu9DGWsjJKXOqSy0W1hWk+q2oclW+iXiWq/M/oY3j4sTdqqAnmCps80ubKJTsaByQn1uziuel0DYbubS5JMICLzB//ny+/fZbpk8vq5jsKe4kKaNjwG6XMZsaJjzQfllXl9tN455tkOsDaPrd4HK7oQFtMIx/zuV29ZU9cBxNQiqpv87H6ZQpyJdZ9abM1Jdc7yMAWza5LtBYEdnhoOCp0ThPpyHWUKeoJsY3b+VyexttAE+dOEKWH+omeILJzTOpqW0KgkDg0xMwf7KVEqeDialHWRzX3ucwKW9t+HI79O5T3bGCMhW9DspA/rZ735bcPZNxXuRbQZkE+9BhAps2eN+/eHMv8iU7hx2uP/YHDsCIUS5/qhVnejqK5g2TEL/PXsxZp+u27q6/QCFS+v475aUPLqBfMA+pqX9lkv3VJupsR4BrOwQZvrBku+yzBEGgb3AoKzJOuziydiSTieKXppb/3933VAhrwpY3q8tt/2Er4DKVwSPHyipJtNRo6RRQ++y+L32Wvxl7PJ/4k9Xv67iABm4Xl0D7dNcuYh/KwX7+He2rCWOnrXo+q7+4sm134is4VgAvFb6MqYt/2sQ5p5W7PAjzvhTaZiP/nShmzpw5s6Eu9umnn7Jr1y6uuOIKZFlm8+bNDBs2DKXS9QKayWSr9P/E9gLxbcqiCAoLyoqozZoj8OJLIrm58OMPEN0SNJr6WzHRfrAe08QpONu2Q5FyErEgH0die2x9+mGaOKXerlsRZ1YWmj59USZ2wJGailSQjzKxA8Fz5jWokISqfQeUbRJwpJysZEPQ5KmITZpgeuctlB06lkncunnGvmCzybzzFlxxFQy8U6RrN9ftYvYrAn/8BksXy/Qf4L5dFM+chqZvP7R9+/lsU3t9IG20elIsZgocdhL1gcyJTWBabDwtNVrezTpLn+CyUKn6XNFztu+As00Cqp0/IkgSjsQOlMyZV2vyrTK2FcqEBFYkH2FITDwd6lC09IINF98P9zbY7TIzpsnMmiugUrm+Ly0VWt42neVmrXcFNN09E28Sw7+wZNNaqaNVqBpZhoS23j27i/fiBGJuLqXtO7B+wgTaDH2k2r4m2clRRyndXSgGnjkDMbG+tRv7oYNo+vRF0GgICNBU61f9SXOFlpYKrcuiuVX7C0erDuQ9+ipxaxZg++s/lLz2CprefRANBhTHk1Hv2oHlscf9at+FNnHcXEqR0+FTm/CLHapA2ij0pDjNFEh2EpWBzDEkMDOoDZ9bcnjPlM7l6iCCxcrqiGpRZHXmGToHBHpdf8uRchLnmdNorytLbExsL4Asc/w42GwX+837bi8mtrXI31mtMBZDZJSAU5aZUHyUh3TNUXsQErijMI+Holp4ZFfV/sIZ3oSSRcsaVDCgye+7aRIbz5HoiErPoyHFLKB6n3XX7j0MfHA4gzy8l/5ArQYEsFoqf09NvTPpHhhMoEKJShD5zppLD1WI32ofVmRU+mXcGRuBOmcPgmTDqW3C851+Jzz2WsLVdZ9Ez5Js9FLXHg1R3jb/OYhYUuLx97SR/x0CAlyXSWhQtUCTycQLL7xAbm4uDoeDUaNG0b9/f7f717QM7i68Zd27Mn/8LjN9lkDz5v4dxGo2b0R54jil02ZWt8NiQXE6DWfbdn69pivMn32Cpm8/xJDQyjb8i7izwbZ/X1nl+4lT0FzTu07XyMyUeXmGzM23Ctxxl+tn68qO7CyZgAD4Yjvc/0Dl40xbt2A/dJDgWXPrZFttNgAcKCkm32GnZ1BIvSfPK/fvI/TGvl61iz1//k4XXQDazh7IjXtIbW3zi+0yxmJ4YGjN7+rXlhxu8dK58sYOd9yb/zfrQy9DKyjIzpL5ay/ccptv/UrEow+Q/NY6pp5KZmWbjtV+z3bamG08UU2F7btvZKJbQoeOvl3XceY0ypZluRv13Vc8U3SE14MS0dQyAI+IMHA6rZhz56B13Hl1yMwMxJBQTJ98RNNdP2GaMg1nXBu/27g+K51EfSC3xtUestYQuHomxx2lrCo9w2tB7ZCQUVW4n8dMpSzJOMUKF22oJizffY0zPZ2ARx8r3zZrusS9QwT6XhdUboNssyGbSnHoQ5AkWPKGTMCgXLQxVh7zIAxMlmUOlBrpGui9mlxEhIGczALE02lI9ViDpirFr8xGd8cgVJ06XxLfUyi7F8cfHoHhuckomjeMcyXLMhnp0LxF2SRgxXvxyumT3BEeWb4a+aM1j2BByRW1lI/whaEHdXysXY2s0BJ05TAKjuxkmb0PnQIlrg2tu5jGV5YcbvXie6L6ZRchd9/+r7WLC3LwiuSjOP0kB5+ScpKVK5disVgwm81cfXUvRowYzd9//8Vnn33MrFneCc4BjB07mkmTphJbQy29mqiLwl9mZgYzZkxlzZr3fDreVy6JsEC9Xs+SJUvYuHEjW7ZsqdGx8pWHHxUY96zA5Gdl3l4j43T6x3dU7tuL5usvKX1huusdtFp076xB/cXnfrmeK2SHg6IXJqK97Y5yx+pSR931csLe3YD5s08oHP8Uzrw8r8/hdMqsfUtm0gSZp8e7d6zcERkloA+AATfD55/K/LyzQpuQZYKmz/LaJl/oEhhEv5BwXjmdwqy0E5Q660dxScjORnEq1atjnLIM7TsgZ2VhT3YtSOFvzCaZvtfB/TWX1AGgs8rAN5bqoUr1yX57MYnKwPJCqWHh0LMuugqCQIhCSZGbws2RCjVhYvXViPXvy8TWISrI1oBKgdlOW62O1QUKCmDVmxffRUWz5gg6Hdq+/SiKT6DUjRhIXfmmIJeObqTBLxUSlAEsDE4kzWnmG2su5grJ/e30AWgEkUOl3g30HKdSUbS6qPInyzJJR8qKklZEysnG9udu1GoBrVbgziEyq2apMK5ugc1WS4i1LDMx9RidPQgHdIvTieG5Z/A6ubAOSHm5iBHel3yobwyTX0Bs4vukkrd88xV8/JHr6IrrQ8IJrhCBcoMm3ON33RskGQQB1Ke/wdbyJlCoURYlE6VykGWr+4R5ptNKkOB5JI2Ql4fgRginIbggB69MOozgdKJMOkzQ4yPQbNvq8zmNRiMzZ07lmWeeY9my1axe/S4nT57gs88+9qPl/9s0uKBFQ5DYXmDdB7BpIxw9As2ay4SF+/5SCkWFBMyZSfE766GGoqMls18laPgDOOPb4Kz6xfIDxS/PQHX5FX4NsWsIxOAQQua/gW3vn9h+3oG6Vx/EiAiPwuPMJpnffgWNBtZ9ICCKvj1HQRAIDYXr+8ssmC/z8YcSLzRbSNPp7gvo1hcvt0rgh4JcHjp2gDHNYhgQWrNqprfIYWHYrvd84uK4uZSl6Wksa9MBR1w8xfNeJqwBZn8yMyEzA3pdW/szjRTV9FI37ITCelMGT1SYqVcqBb76QqZ1nMw1vXxohwoFQi2BAuMCY7HJUnno1dEkmZYtIcBFPponyE4nipiGydfIcdo8yse5QHgTyM2tvj3wy88pHTse28L5mLduIWjmXBTNmvvFxly7Db2oqLV49KVCnFJPnFLPwpJUsiUbUwPjCBZVTG4ZR7EbJ90d2v43IVZQ6LVYYNQTQrV+WIxqipiTXf7/oFg7y9+TKfxKYNgDMu+87749fleYR1O1pmYFttrQaLAMfRjde29jfmKs7+fxguAFSxrkOt5iP3wIMSS0XD6/PnE4ZN5dK/PeetfProVGg7VKXmS601JrEV5vybULhCvK8jbl86ti1phbaWqBfca6O1c/WHOrhdvWhCLlBMpDB4H76nxtX6hJDt7X1atff93F5ZdfScvzEQ0KhYJp02ahUqk4dOgAZ86c4bnnnqGgIJ9eva5l5MjH+fvvv3j33bcAsFgs5fs///wEgoKCufrqXuXnLykpYd682RQVlSlPjh8/ifj4NsydO5P09LPYbDYeeOAhbrhhQK22ZmWd47XXXsFms6JWa5g8eSpRUU157723+eWXXTidTu66azA9elxdfszff//FmjUrUCgUNG/egsmTX+S7777myy8/R5IkRo58nHPnMti27WMkyUnv3n0ZOdK/Iej/iqBFQyCKAkOHCXTsLLD9MygpkTEafVjFstlAlil+633k2laL1GqMS1YSOHUSQmFBzft6ienjD0GW0d87xK/nbUjUV1yFbtA92H77Gbm4CMfZM273LSmRsdtl1r8P/QcIPPSw745VRQIDBWa85OSJnr/x7IHn2P1Hw9ZIu0D/0CZsaNeF/xiLyLHbMHo5UKoJ1R+/ofrjd4/2LXY4eD71GC/GlIXgKOPiEcPCse3902/2uKIgX+bIEc8cKwC1IPKBOZO9NtcywfXBZSoDCVXqbF3XD5+ELQDYtg1EkcVx7d3ustdWTEGFGkgb1sk89LDv7V7KOof54498Pt4bDjqMdPVioKXRCNirlkCy2bA88BBiQABBL80m8JnnKBz/FOavvvCLjd8W5HJLmH8nMxqC5wJbc5c2kkcLD7HNnEVTlZrTVrNXq1eWH75FMFwM1dv5E1zV08WOgoBxYVkNwxLJwS5rPtdpw7jrboH3Ngg4JXhvbfV3wCnLrMk8w5g6FjoGsN59L+rvv0Mobpj3vWTBvAZRt/UWTb/+DeJYAXy4GQbeIaAPcH0f1IJYLd+unTKA36z+HevoRZkxTQsriVcoSs/SMetjOge6rhvoDb/YCujtxUSdeC4TZz2HZWo+/pCgofde/Pdw2ThPv2AeCjdy8IqjSSiOJ6NbuqjSsYFT3AgHVSA3N4fmVf4mvV6PSlXmdNpsNl59dQErVrzNJ598CEBqagovvfQyS5euonfvPuzY8QMA+fl5LFr0JkOHDi8/17p179C9+1UsW7aayZNfZMGCVzGZStm3by9z577OggVLcTo9e5ZvvrmEe+65n2XLVvPAAw+xatVykpOPsmfP76xZ8x6rVr3DqVOp5SJAsiwzf/5cXnnldZYvX0NERCRffbUdAIPBwMqVa4mPb8OGDe+zYsVbrF27gdLSEq/E9Tzhv2sJxEeGjxA4dlRm2gsyj46EW27zXFRAzEhHkZqC3Y06X1XkyEhKZr+KYLGUPWw/dNhSUSGWL7cTuubdOp/rUkA36J5y5Spl23YYxk9E0GqBshfj6y/h3bUyS94UGD3G/x+84hlTadXjatZvEbFZYeVymcefxC/OmzcEKBS8GBOPTZLYkJ3B4CZRBCqUdZv1BRQpJ5GaNqt1P0mWmZCSxJSW8TRVX0zKNEyYTOGzYwnb8GG9DTiWLZa58Wbvzn2jJpwlpWn1EuNfld+sBdzuIia/RbSAxSKTlysT3sTLe7N+PWLHy9kgSoxv0cql6EMPdTBnnBaiFGXPo0NHgQ6dfH8GzrNnUUQ3jFJgE1FFK024V8dUugWSRPCw+ylat7l8k6pjJ8I2fYxcVEjpunfR3XM/ol7vs43RGi3dArzPBboUuFodyqbQYN4sTSPVaeaKoGCQy/pMT95T/ZChlfbrfBkEuKjRLSgUcD5kWSuIlYRkdDoBnQ4eHCbzwQYZtQoG31f2Pf0o9xy3hDUhUOGHYYUoYnrqaVS7dmIbeGfdz1cLAU88Ve/X8AX7/n3Y/rOHwNFP1vu19v4pM3+h+3YkIPCPqYQY7UXJ+hBRxdySFHpp/BdVkGwS0aT/gqPTreXbnIZYWhxayv7Ie+t0bkmWKZIcLsOv3aHISMfRzv2EmD+wDr4P6+DqK2OmiVPQbP/MpRy8M7E9zoS2mBPaYmaCV9eLimpGchWnLSMjnezsLADi4uJRq8uiEBTn3+eIiAgWL34dnU5PTk42nc/nZjdr1rzcKbtASsoJ9u3by48/fgeUhSHq9QFMmDCZ116bi8lUyoABt3hka0rKCdavf5eNG98Hyso5nT6dRvv2HVEoFCgUCsaPn0hmZgYAhYUF5OXlMn16mcCc1Wrlqqt60qJFNDHnozjS09Np3ToejaZs3PnMM7U7pN7y/3blqirtEgXWbxI4/I/M4yNlzp6pffZZ+8F6xIJ8jx2rCzg7X4Z4LhP1+YZVF5y5uThPpxG6dt1/XThgTYh6PaFr16Hq3IW8B+/BumsHZ8/IPPGYzOF/ZNZ94H9BEgDT5o0I+gB0d96NQiGg0ws8MhLSTsHc2RKm0oZfyVKLIiOaRvNXSTFDju7noJe5FFURs7OQImvPH0gylXJDSDhXGSo7K4qoqLKk92rLCv7h7BmZ06fh6mu8e75xSj35kp0iqX7sqkgzhYYAwXXo2H1DBD7a4vKnmrn/fqSISJ6Nbu3SsQKwyzKrSstWdHf/IXPDjT5cpwLOjLMNlgyf5bQRr/TO8Xlp1sX7oNm2Fdt1N5TFAFdAEEXE0DB0d90NdhvFs1/yqcxDscNBqdNJ0H9xP6oRRJ4NbE0rhY6PLOdYm3WWbXlZtR4nSxLGeXPK/388WWbHjzVMKAkCWU4rY4uSCHUxEFWrBe69H3Jy4NFhMidPyFxtCOHhSP+1Nfv1N+Lo2g0hp35zLWVZpuCJkfV6DV8RDUE4z/gmve8NycdkFix2r9gKICPzQ2HlON5QUYVVliiV/Jc/3D5AonXrqyrNvMiaMBS2QvSKun2fTzstXK0O8eoYobgYqYH6UFfUhxx8r1692bPnd9LTzwLgcDhYtmwRKSll8veuPk/z589h6tQZvPjiTJpUyAMUXOTdxca24r77HmT58jW8/PI8Bgy4mdzcXI4dS+LVVxfw2muLWblyKQ4PInZiYloxZszTLF++hkmTpnLddTcQG9uK5ORjSJKEw+Fg/PgnsdvLVHCDg0OIjIxk3rw3WL58DcOHj+BWKnprAAAgAElEQVTy86u/F2xt0SKa06dPYbOVHTNt2mRyKoRC+4P/3q+MD2i1ApOmCJw4LrN/PwiCTGQULjsU5X/2oP7hOyxDhvp0LUfXyxHy8lD99AN2L/JfKiI7nQgKEbS6SzJkoa4IgoDutoGI1/TFuOUjftjflUmjbbTpUT/yt7a//8Ly9ZeEvrO+0nadTqB1HPS8GoY/JPPEk3DDjQ1/v68PCaeT3sCs0ycIVSqZ0jLOp1lgMTsbKbLme7irKJ9mag0PRrrOZdH2vwnjssUYnh7v9fVrY9ECmWcn+nZ/79FG8ZH5nEeqZb7yt72Ykw4TcUrXNZb63QBhYT6c+PPP0WTl8/I1PRkYHkl7F6IKEQo1eVJZhx8dDUF1TGdwnj2LqtvldTuJh0QpPM+3usCOH6F5cxmd0o52w/sUbXKfUH2hBp26z3XkDxtCwKgx6G693eNr6USRbj4o2F2KiILA6ICW/KIoYMSxQ0QZNDWuHkjZWcgVBCK++qKslEVNvFF6ilF696ueKpXAmLFw+x3w9FQrdw538uiN/p2vFc5Xh6/PKS/ZWIxo8G/ekL8QIyKQ/Dzoc8WJ49AmoeZ9wpQqcl1MuF2vCeMnWx4DPagb5QnrD59kUOBp9IGVS6M4A6I5klfMlcG+i9GEikqva5eZJr3g8/X8gXXQPRRTlmNVrhY47tk6qQUGBATy4ouzmD9/DpIkYTKZ6NXrWgYNuoe///7L5TE33XQro0c/gsFgIDQ0nNxc95MeDz88gnnzXubzzz/BZCplxIjRhIeHk5+fx6OPPohOp2fIkIeqlWEqKipk5Mhh5f8fMmQoTz01joUL52Gz2bBaLYwbN5GEhHb06HE1Y8aMRJIkBg26B5Wq7PsjiiLjxk1k0qRxyLKMXh/A9OmzyMo6V37e0NBQhg4dztixoxEEgV69riXCz4I2DSrF7i2+SLF7w4/fy3S/ErKzoG27i4M98VwmhidHUfzeRuRaisrWaIfdTtDwByidOgNnp85e21c07Xl0d96N+soevtvQQPhqw7lzMsVFkJMNPVqkIBUXIajUKNt3QBC9/1C7s0O22XBmZyEGBtaotGgqlVm0UEathklTfBso+ON57CzMR0Kmgz6wUsieJ+hWLMP82ONEtAh3aUeWzYpeVKARRdQ13GPZYkF2OhFdxQ55SNV7Icsy2z6Gu+/xzbmyyRJJjhK6qLwbJHvzTCYUJTE2ILbGVZhff5YJNEDXbp7/HRFH91Py3Q7euHcwHfSB9A127aGNKDjEk2fbc2y/gqHD6ubkS6WlCCoVwvkQj/rqK3IlGz9Y8xiiqz0ctaIddruMSiWg/WA9sihi9XAySzabMS5ZgJSXT8jrizw6ZlbaCV5oGVfe5i+FftMfdqw6d5qvLbm0CdUzzRDvcqXJuvsPbHt+xzCubBb8wXsl1m0SUCoFlzaknD7BfIOZ1aG1f7eMDgf5djvRai3Ll8AzE3yv5efqXmg2bcDe4+p6k2Z3pJyg9N23CX55nlsb/g0iIgxkZxeTP/Rewj/wXRmuNt5bK3PXYAgJqf7Mqt6LoUcPsDGxcqmOLKeVrZYsngqI8Ys9j+88wuLLQ9EFNatkgypjJ/edu5YN3RQ+Z1u8b0rnfl3TcgVYT9AvmIdp4pRLpl00cmlxSUixX2rccGNZ/Phbq2WmTpYoKirzM/UL5lMy/41aHataUakwLl1F4LTnEfK9kyA3bd6IoNHW6lj9t1JUJPPi8xJLFsoktC0TNlDGxaPuejm2vX+S/8Bg7Eeqxxn7innrFgSNtlYJe31AWVHq8c8JbP9MJuXkvzP3cF1IGNeHhLOjMA+z5CTd6rkssW3AzecrQVan0GHniROHyxTpanNeVSryHx6CbLV6Y3qNrH0LBg32/Xi1IJLltHHYXuI3mypSLDnIkWoPb7uqJ3g9X9K0KWJOFhEqNTl294V8O6sMrFzn4PLuXp7fBaVrVtSocOov9tuLKZG8F2XZtAEO/WnGMugerF6I9Qg6HUFTphM0ay7W3b9j3f1HjfubnE5OWEy1t/n/QkZGRhNmU3Gftim/2QrIclqpOmfqTEtFeV6GPe2UTPNoyh0rV+z6+kMmmTybVFmemcYJiwmFQuCZCWWrIBOelsjN8U/f6eh+JQGve19zx1Oc2TmXpAw7lDmp2ls8X531lsxMmZ93yS4dK1eEuChcHaXQcKc2Eqtcd7EJnDYsTrncsaqIvWlvgjFT7KP2k1l20kVl8MqxArAMfdi3CzbyP83/vy+Nl2g0Aq//H3vnHR1VufXh55zpk0wa6ZAQWuiggFdBEfXqVRELyhVsiKD0LnZFUERBRBAsoIhIs4ARxV4QC4iV3ksCJJDep5/zfn8MJSEzycxkgl4/nrVc93LmlJ1T3rb3/u3ZMjf0lbhvkMov09dRPnM2Sqv0kJxfxMZS+dR0LONHgZ9OwpPha5ZHJ4fEhr8TQgg++lBw3z2CPjdKPPu8XGOVM+zuwUTNeZmKubM8+RX1VHGpeG0+pn790cQFUDRQJ3Hd9ZDWzDNQ2Lb1r5lk3RafTIWi8MChPbyScxi3Hx2YdvtWr9sVIRh3YBePp7Sgka7uEC5Jo8F8621ULlkUsN3ecDoFtw4IflX7JJcbYkgPMLfHX963Haef0Xs4YFX0eolJ4wX5eQG8F4mJyHmeyVVBLZOrQaTiOKKnbbsQqGOOn+QRKGhgNrvK6RSgNxFA1oDtt13o/vgtqEmgbDajv7A7+q7dKJ36BM7ff/W637rSIi7z4Sn8X0cny7zZqgNNMNLHGM+PzmIqhcJht+3UPnJ0NLr2ntUAu51aFSitQqH/0Ido2bh5ndfOdTrYXlnBFVGeeytJEq3SJQYNkRgzwiN6oar1azuV9NYIkwntlj/rdR5faFNSMF7du+4d/yK06W0a7NwvzhKMv9//dmZ+C+/CDvvclZSL+ive6o59j2L0IYojaUjUWMl1Bjds3eQs5SdnSWAHCUH4pHFBXe8c/7/5fz+5OslF3SWWrRC4tUZKyySyMkM3mHZ3Oo+KGbP9lpV1rPuGqLkvn5VB0dnk6BGB3Q55ebB0pVSroIEmKZnoBYvR97gY3C6fg6a6qFy2BLWk5FRYVCDIskf+/dEnJN5YIJjyhEpFxdmfZMXp9Cxv3YkYrY7+u7bwe3kt75EQqBHeB7nPHTnINdGxdLX475E19euP/YvPUMvLAjX7DLM8E2pNCFocnSQzqnQnJQ0gbJGqMdLbi0qgN66/UeK9d+re7xQWC/bbB5JuCqNdLUVs13yoYuldFMCJfVM08OyUbtjuqqCDLvBciCaGfGzHynBd3DPoa0uShKTTET5qHJVvL6bk4ftRz2hrPy3Kp3fM2SvG+lfwfannnbnF5FkceLJ8PzPLD2IXCprGKWhatATgwP7aw1k/tOVS8e4K7N9+Vec1Z2dnMrFxWo0Fk87nSSx9R8Jq9Qzg64t10sOYT8jDhxolJ/uUWu3fkgCiFgJh/z6BzQqdOvs/uZqTk+V1ge9SfQwbA524eEHVRfCveB/9kyTRgmOU2YNbbF3vLOLSAGslSkVFiOh/5qLMORqWc5OrE+h+3kD0jCn0eLA7VitUlMPvv4k6K9L7i5qUjOHjNVCLF0YIQcUbr2GZ+GCd4Wv/SzidgkMHBXt2e1ZN7x0qYTD416Abr7wayWRGWK249uxGOX7M/+v+ugnHum+wPPhosKYDEBcvMfdlmcuvkBg51FN/62wjSRID4pNY2Ko9B+02jjsdlLprTi6kslKMXqTsVCFIN4Vxmw8BC5/X1WgIHzYS64qlde9cC19/6RlwBVsM90yuN8bznu143TsGwDZXOVGyrkYtF19cdgWs/y6wlXk5P49YrQ5tLd675k00TLk5MEUrbwibDclLGE9D0FRjxBxguA3ABV/NorAisJxCX2hiY4me+wqm62+i6J47UavUGrw0MpqkAHMX/5eQJIkbGiWwIs8jRxwua3kzqgNtdeHcVryFrQe2n5oANavFIbXZVUZPQzSWMAtqbu0qhHZVwSDLPhdrtFqJe4dKTHxAYvX7gqxMUSNc0V/U5MZYR44DNQShZ2egadoMOSiFmrODsNlQS+s/cTkTWYYHHwmsPb49Lgm3l2eokSTetmb7FVnhE1XBUZbNLSm+oxLuldZxof3noE6/01VBe21gC0DysZwGr3F1jn8m5yZXgJx9FPOMZ7BOegiA5GRP8eFjOXDnAMGmn0MzmLbfeTeGTz5Cu3Wz19/V3OOY+/UPybX+Lvzys+DOAYJ9ez05btHRgQ+uJZ0OQ89eIAQl40ZSuWgBQqld+lWtrKTsuWlEvTgvKGEMb/S6XGLJconCQli+9K8JE2yk0/PfuETyXE6K3C62VpZXG7DIeXmoCdXD2ioUNwuOH+G/cXWHu3nDcNU1hA0cHLT3SlEEry8QDB0R1OFeucYQyxeOgqAHa95I14bRWuu/eIdGI9HjYokfv/f/Gq6uF6CRJHQ+JnB7dgs0WnjUtSuoHKaqKMey0TRu+IGBTSiMD08L+Dg5K5No2zF0l3mrZBs8hot70ui9D5EMRipefokdlRVcEIC39n+VMI2Gz4sLyDnh6ZAkieuN8bwd1YlCt51C1cmyD3x7e1UheKb8ABZJixwbh1KHBPrWygqealqHxNwJO275r0RKKtw7SLDu2+C+WfeFF2F+8fmgjq0N+8cfnqrr9XfE+esmlCNHQnrO/fsEu3ZCSmpg/fHi3Gz2WCu9/tZdH8XP9SzyXtzoArLsvvvrLZFX8lV24NcoUV1EyzqfJTB8oTmW7VfNyHOc40zOTa7sdizjR1Exaw4ivLrqR58bJBa+KfHhasGkCSolJfUfyDn/fRVhTz6GVFC9XkTl8repfHvxP8ZjVVwsePB+lQ9WCRa+KfGfAAvGekPXpi0xK1eDRkvRgJt9Cl4IhwNRUkzM2++ckm8OFZIkkZgocfudMP8lwYJXBG732Z9odQqz0Mxo5tuSQgbt3Uam3ZNfIecerybDXux2sc9mZXhi8NLlkiTh2rsb9x7vleLr4tO1cO11EuEh8lqBJzSwqy6CTa76deYnKVFdPFG2jwg5MOn7QUOgfQf/9zd88jGy3c5uq3dBjhYtPcVdO+osbHPXT5lKOXoUTeOGk6w/Sb7iZIsrcFvDZj2H+7GHaZoWepskjQbJZCJsxGhi1nxA2KsvIxqobtvfiQeaNOOF7Mxq28JsDrp9uo5i1UXGKqhoXIHqZVHiY3sel+pjiJJ1yLFxqIUFNfY5iRACW4C1jWRZ4qWXJX5cLxgzQiU3N8B2U5KwTngAqQ6PWqA4fliPZGqYHM5QIMfFoYRQjl0IQWwcXO1fDddqePJFvX9HfYzxrHUEb6dp2xyKhYUmBt/er2ZJLelS9nXA546UtMyLDLwQsLtDJ5zB3Khz/L/nL5lcFRYW0qtXLw4cOBDwsbaMVeT16s4WrZa8Xt2xZdRPolS38Sdsw0aitPC+AhcV5RFduO12CVmGH9Z7OoQ1GYIre6mYtaVc2UtlTYZ/HYWIaUTF089hGTfiVJFW52+/4Pj6Syz3PxSQ7cHaEEq82bBtq6CwAG7tL/HcLNlvJSJ/kGSZsEFDiJq/EDQaHOvXIZzOau9F/hWXeCaq9ZAQr9MOSWLkaIiMgjv7C/74Xfwlz2N84zSeTG3J5Kx9zM3OROQe5xeTgV5bN6Fd+xFd/9zA+pKieotI6Dufj3A4cGce8mv/qvdizguCyMjQ34sRYam0rcPT5G97scp2nEtqqRPki6goiVXvUWvx6YxcLb1+NaNdBd2bDuLDQw4+K645cK2sEDw0SRARIdFZZwlqwlIVTXJjDL0ur3vHelKguujmp5iFIWMV0b26g1aLbv06dHt2kRfasXI1VEliySUXY0lJpXDAzTg2/RzyPiRYDIZviY4eAlxIdPQQDIZv633OjmEWbKrCXttp74KSlYm2aRqNyszEmjRs1ZZyR/FWdrsqyLDl0qtgE9ptHzGubBfxJ2qVaZKS0NciV/nU4QP0jAj8ewkLl3hiqszwkRJPPSlQFE9Yrd9tp9NJxPDBIS1wLlxOJIOBNRm5XNlrE2btR1zZaxNrMhrwxayFqt9IdK/uGDIPhbTW1Xfr4I0Fola1yBo2nPhGYnU6CtzexXjStWG4go0kEAJ9zno+r4glx+F7WOqQjTys918c7CRv2bIpDUJwQ/vnH3xaVnyqP+21dRMZBWf/vTjZZuUkRYeszVq69C3GjRvJhAmjmDhxNLt37/K57x9//MaTT9av3tf69esoKMinsLCAWbOeC/o8v//+K6NG3VdtW3FxEf3734TqI2z4wIH9bN78BwCbN//B/v37fJ5/0aIFfPhh/e+vZsqUKVPqfZYAcLlcPPTQQ5SVlXHdddcRU0uss9Va/SO2ZayieNhg1IJ8T+J+QT72tWvQtmyFrm27gG3Rf5SBu0s3lI6d69w3ubGEVguFhZCxWvDIA1BQ4PnGCwo8q/MtWkKbtnUPYkV8Ami16L9bhyO1KaUPTST6tUXIAayerckQjBomgrYhFPiywRION90ik9y44eyQw8PRxMaiFhfh+H4dJaOHnX4vigpx/rwh6PfCXyRJokNHicv/DQ9PEix4Nfh3oj5E63Tc1CieIreb3xMTGSi5yFUVBOAUgh/KimlpNHstWhsIwmaj4sXnMV13fa37nfleFBbAZ5+E/l6YJA0LK49wni7Caw6Tv+2FEILpFQd5OLw5miAmoV27eVIpjcaax2bkahm2y0SBS0YAeYYIPq6MxKyxMjDRUm3S+/67kNZMol17iUhZxwrbMfrUozCna98+tE2bVluVDwsz1GhX68sjZXvpY4r3Gep4EkPGKiKGDUY+8TzkigoMa9dQGNuK+Cvah9Smk2wqLyHb6aDXRZdg/M81lD44kcpXXgpZHxIsBsO3REQ8jSwXAwJZLsZg+B5FSUVRmtXr3O3NFioU96n6eM7ffkXS6fjs0Hm0Spe447xIuuujGFW6k4XWoxSoLgTgQvCZo4CWGjPtwmJQS4rRNqnp+VxfWsRhh43LonyouvlBfILEdX08offPTRM8O83PtlOrRXK50G7ZjPu80BTHtn3wPl/JvRg1bAcFBa4TNrj4dG0+LVqaadO2fu1mINT4Rgrykf78HWdEJNoQSLKrquDRBwRTpvnOe/Zmg2HtGpSWrcht0YqDdhv/8hFme5khhgrhDljuXFvwO7KrnHe1V/HvGDeRVVJFq7ZZehlWlCRzS6Ny8LNouRCCeI2BRE3gOZcfyXBf7pFT/WmBy8XaovyQ9Kf+EupxL8ChQwdZuXIp8+cv4JprrqN58xZMnz6Vvj4KEx87lsOePbu4/PIrg/47Zs16lgsuuIikpGR69Lgk6PMkJSWzdOlb9OhxCRaLZ1Hvww9Xk5bWjC5dunk9JiPjfZxOB23atGPRogUkJibRxEvbBvDnn79jNptp08a/exsW5v29CiwGJgTMmDGDAQMGsHDhwoCPLZ/zgvftc2djCrBatZx7HFfPXogAwvA0Gomu3WDiWO+rJjOfFVzwL1h3xgLktb1h21bo2Qs+XgMVFQB9kU1Our6xmvBJL7A3JxKRLfjjjOLY/W+DH76HS3vBOytOb/elwDRtiqCiAsLC4Ma+sH4ddD4PPv2k+n6XXQ7ZRz0hTT/9CFXD65OSoUtXOHgAoqNhw0/Vj73hJvj9V5g3x7sN67+Dx73+Enr053elZNxIr78F814EQ6NYieJi7/di/lzBjX0bfrIrSRK9Y+J4ccZUEtq14cgZsvNzc7LoG5vg42j/0LVug6TX49q2FV3HTj738/VeNMS9GBPWlCLhwiDV7Gj9bS9+cZVyvi7CbyGLMxEChg0RrHzfE/pUlTmHvQ8AjlhTKFEcRFcRnPj0Y8EbSzzHx8g67jE3Ccqek2hiG8FZEHGwC8UvMQuzj+eRumI2TPtvqM0CYG1RPnedEHGRo2N8hrqdrbbiJGbzcp/bHY4r6nXuNKOJ9aU2tlWW0zHMgnL0MLr0Nujy4d9XefZprDFiFd7D+uZWZtHXlODVO6QKwfycLF5vFUAsbC00biLx6y+BtRf22+4k8tabsP93gKejqyfalunMm5Ppw4Ysbuxbv3YzELx9I+GA6cfvKXI60W3aiJLeGv2Xn1fbx/mfa9Ds24vrggvRf/k5chUxFyW1Ke52HdAcz+HL9Ubuj95A/JrT99Xerz+6jT/huuJKjMvfxjxzunfb5s6mw/U31ioMk6XYKFSddA9Qlc+Q+TGOtBs4dlwiyVC7V0p2laEt3YM71r/J9SHFxgLrEWZEtA7IJgB19gxcd95eY3so+lN/CeW49yTR0THk5h7nk0/WcOGFPWjVqjWvv74E8Hh55sx5HiEEkZGRPPLIkwAcOXKEiRNHU1paSt++t9Cnz038+efvLF78OgB2u53HH59KQkIikyc/TGVlJQ6HnREjxmK329m/fy/Tpk3miSeeZtq0J1m48C3WrfuaDz54/1Tu9LRpMzl4cD/Ll7+NTqfl2LEcrrjiKu6+e8gp2yVJok+fG/jii0+55x6PB+uLLz7l+efnAPDaa/PZsuUPVFXQv/8ddOzYic8+W4tWq6NVqzZs2rSRvXt3k5bWnJ07t/Puu8uRZZlOnc5jxIgxQd1Pb5zVydUHH3xATEwMPXv29GtyFR1tRqs93Wnn7PWe8+Heu9tnlWSvZGXBuOHw6adgCHzwkXnIe57H0aOQmBRO8xbVO62ERC2lpQpxcRrSmrlPCQaGf76MuLRoont0IbzcM0grKanu1oyP19K0qefY5i1Ou7Xzcr2rDublQfMWJkwmiIvT0jRNISGx+rEAiUkaZFmQkCjTNE3BEnG6QYuPl0hM1OByqkRESjX/ngQtqU0V9u31nti6b6/vqtUNQc6+vV63B/xe1IN9e72/E2f7XszqeTEuLwIee22VIbEj8tlpZI8dS3JGhs99zua9cAuV2w5t5OtmPWqEPvrbXrRzynSRYonTmYK24z9X29myWcN/rq6uzrfXhzhoucuMJgLiTgwO//hdodN5TlJTT9tQUFyMIcJIhCY4xb/85d8TN358je2hfAY5LhtNHeH+ndPH80it3IPbEu7V81cfhBAc3G/nktTEU+9GyPqQepPldatWmxUSO3pHmzwFaGWZ2EceoLxMpdMOQcuWp7v8vce9v5x73Z62oqiiiJgzbHkvJ5veyUm0Sgqdul5Q7cWEccRt+BZurznwDQShKEQ/M5V9cT/4sCE07abfeHk/FaAo+yhx8RHQNAmSYqBFavWdEqPBkQgJkdCsMZRVsTk5CZKiEbKTH39ReWFwKnr96W/NkhDpOW+cBZqnQK53FVbt3t0kx0WwPiebC+O8TyzisPBpWS6xlvDAQtGbdMTctheaIonkhJrtXdVnoAsPJypci+Tnc3m/sIAbzI2Jiwz8OSYeOghe/o5Q9acnKV6xguIVp1fPJY2GZmvWcPypp3D7arP27MJSmE3ZmjVU/HD6/dWnpdFk/vxarxcXZ2HBgtdYtmwZS5Yswmg0MmHCBK6++mpGjXqW6dOn07JlS95//30+/PAdevToAagsWvQ6qqpy4403cuON15Gfn82cObNJSEjgtdde45dffuDKK6+krKyEt956i8LCQjIzM7n66mtZtWoFU6ZMwWAwoNNpPG1MUS6LFy/CZDIxefJkdu36k4SEBAoKcvnoo49wOp307NmTSZOq92N33XUbAwcO5MEHJ7J161ZSU5vQrl0L1q9fT1FRHqtWvY/D4eDWW29l6dKl9Ot3C7GxsVx2WXd69bqU3r17k5ISx0MPvc7q1asxmUw88MAD7N27lbAwA+Hhxno/37M6uVq9ejWSJLFx40Z27drFQw89xKuvvkqcj+KuxcXVG39tehvcu2qKGMgJieTllfn3MVutRN41iPIX5qKWOYHAQ2RapYO38NT0dJDlSrr3qL7d5fLI3xYWerxI4Emi1T92K5Jej2V4f6SnZyDi42scW1QEzVt4/rfqb+mtfdjQGrr38KhFFRR4rut0UuO84PFQVVRAay81Cu12OFm0/sxjrVaPTb7uQ6t0yM+vX75IIPh6L7Tpbc6aHb7uRXQM5OSUodOdnVDNL56byRWPPFSjQ0g3hYXmXhijkK/uQ97RAiQvCxOHDgqMRqj0Mu9uqPfiPML5KOcIPU6slqpWKxWzZyKFhSHKaiocVn0vKlQ379qOcW9YCvkEb1ufGwVTHhec36X6xDbdbGZXZU2vTpswFUulQr7Vc02NVnDXIMjPP70I0kMNx1ZowyEFV+em8JPP4I4h1bbFxVlC+gzW2QtIV4x+nTM6vQ1aL9/psajWFO0uD3kYcanbxS1R8RQUnBYP+Tu0FQDR0U3Rag/W2O52N6W4ODR2zM3OpL05nAsXvwlDJuJ2a8jPP32P07VmdrlrfqjpWk9bUbh8Je5rbqrWr8Y7ZS6yxIX0XgXVj1xyJVJREew/gogMvmyBWlrCD698g8HQCKu1psckIdHg/9giBHj7RjSApVVr8kvskJoOKtDjDO+mwPNbiR06eAmNcsMxZzJPLIFS6YxwqDIntGgP+eXQ/XKiW7f1+p2609tQXmSlp672NuSjsmxMFQoddP4NTuXyTCR9a5SCCl5pWT2KBmq2Wfc3kXGsn0L51R/4df7Pi48xO7IN+c4gRHdk7x75kPWnJ7nqeixXVQ+3z88vRzNiAtp33vPeZrVuS3mjxkiDR2IZPLLGsbVx9OgRQGLiRE+Zmt27dzJp0jhatmzP/v37eeyxJwBQFDcpKU1p185K69btKS11AJCS0pTt2/diMkUwefIUTCYz+fl5dOzYmaioRG644RZGjx6L2+2mX78B5OeX43S6KS62ote7cbkU8vPL0evDGD/+fsxmM1lZmbRo0QaDwULTps0pLvaIdOn1Bi9/j4EmTVJZt+4nPvtsLddccwP5+eX8+ec2tm7dRv/+twFgtzvZvn0flZUOjEY7+cxgxcEAACAASURBVPnl2O0uSkttbNmyi8LCQgYNGgyA1Wpl587q+/qDr0nYWRW0WL58OcuWLWPp0qW0bduWGTNm+JxYecMy/n6v2w2X/Rths+E+uL/2EwiB5cEJWEePQ00LPq59zHjvDe3ocf41wI6fN1K55E3Q6TwKSOMf8AhcOP2f6NXXhlDwd7ABfL8XlnETz5oNvu5F7z6wdAlnTVGwucHodaVtXHLTkF3DfMutWJe9VUMGPWO1ICICHnvS+3EN9V7cYU5imdVT38f+zZcU3fFf9N3+RdSJMIEzqfpeGCWZgeb6y5UnJEhIEjUU0Manev+m/xNXxK8VnomfwyFYu8ZTAqIqRxQ7K23+13WrSigl6mvjSkMj7jL7VzvN6uM7/aHHRAq8R+vVi+2VFVwfUz1n7e/QVgBYrXcEtD0YBic04dVjRzANGsKypRpapVf/fXxYmtfjxoV52go5PBxRcXqA8W1JIQ6hYvIx4AyWoPoRSUJzONOTF1QPXn41h0+zUpkyzbugVefzwhk6eDtHDtvqdR1/kHJzcbfxstIJHDb4l19UG99/51+ZMF/fqXXcRGRJYvbRzFqPv84Yxyd2/5+L0FkQxhgcKryeXfffmWWTyTK1Q7bW3Ta6hYpVqETKQXj/KypoEu09rzCU/WldNESbdeDAPmbNehaH4+RkKZXw8HBkWUNqalMef/wp5s9fyIgRY+ne/WIA9u3bg9vtxmazkZl5iMaNmzBjxjQeffRJHntsCrGxcSfOvR+rtZLnn5/LY49NZc4cT/kEWZarCU5UVFSwaNECpk6dzkMPPY7BYDjVb/mzlnH99X35/PNP2LFjOxdd5PEANG2axvnnd2P+/IW89NJrXHHFlTRu3PjEtU+eW0IIlaSkxsTHJzBnzivMn7+Qfv360z4Q6d86OOuCFifJyMjgsssuC0jQQte2HdqWrXAfPIBaXIS2TTsipz2HZfwk1LIylEMHEZWVyBYLktaLU85mA1nGdXXvetnepq1Ei5Zw6CCUFHs8P1OnSX7lkyg52ZQ+9qBHwOJEVXgRF4cwmjAtWYTzyqsb3IZQ8XewAXy/F2czh8LXvRg5Rub8LhIrlkHjxqDRUKtKU31ptOYDUu4YxEG7jWK3izbmcKY1bRXy+HBts+ZIOj2SLPPFZwJV9fx9yY0lOp93dt+LSFnH51k7uFAOR7N5MxGPTEbXrv2p98K1dQuivAxt2/bV3gshBHcUb+W/psSQrEz37AUxMVQ7V4FLotgtYZQFBS6ZdmEK0+Wd3NEumjCNhjCNBlWF87t6cjqropdk3rRmByVqIcpKcf6wHlOfG6ttD7WgxdzKLC7UR/pVP0Zp2w6lZSt0332DpKq427SjYtpzpDzYj8Sk0L8b+S4nTQzGas+jWltRVIimcROinp9zVtsKAEVphhBmtNq9SJITt7s5FRWj651vVRWDLFPidGIcOZz3j/fn5n7V11Lb6sJpqTFzULFRrLpoow1nmqWVJ98KcP68AV3rtsjRMVgVhUY6Hc2NppB7cYLtR9SkZPTff4cItyACLLlx5LCNb78u5IaEnVwRd5CuA3vRoqWZQwdtlBS7aN0mnKnTWvHAwy1o3yGcA/utSBKEh2tqfKchwekkctg9VD4yGddFPdAcPIBcXHTqGyk7nIX5lluDPv3q9wX/uQZMJv+/U83BA8iFBbjbtqdi2nM4Tnwji44f5ZZY3zUTk2UDcyuzuNXkX30o89bZOJv2AQEXRCickbZao81qbFSJdRxBYy9AifY+GT2JALobogIusQEglZQQqaqkXXQx35UUoUKD9ae10RDjm7S0ZuTmHuell2bz5Zef8vnnnzJkyDBatUonPb0Ns2Y9y9q1a/jtt1+44Ya+WK1Wtmz5k2+++ZI1az7grrsG0a5dBwoLC3jttfl89dXnaLU6VFXhP/+5lnffXc7KlUtZv/5bbrvtLlq2TOfIkcOsXLmUbt0uZOPGH7n55v+yc+d23n57MV9++Rlms5nwcAsJCYnVxDNWrlzGbbfdVeNvSE5uzLx5L3LFFVedErJISWnKn3/+xpIli1i9+l3S0prxr39dhM1m4+233yQtrTl6vYFly96ie/dLSExMYvbsGaxZ8wGlpSX06XMj27ZtCYmghSTO1hJnENTmlvMV3mL/8jMqXp2PZeKDnsKzJ5Czj6L7YT2OAaFbGazNDm8Iu52iu/oT+dwstF6k380vPo+9X3/UlFQvR4fGhobi72DD38UOXzY4HIJBdwj69Ze4uR+hDzVxuYi4927Klqyo1Y5QIFSVY/1u5emoFTRrpWXMeMlrx93Qz0MoCu6dO6hUXIRFRqFr1qLGPu5DB1GXv4n+8WnVtm90FvOdo4hHLDWPCZYXZwkmTPLcByHg1q0mFrazEa2DJ49YGBJbQYcht/DT64tZW5THw02ac9dtgreWSV4n3bcVbWFlTN1qpmfizjyEfe1HhI8eV217qJ9HmeoOeOBiXLQAy8OTTtnx6yaB3Q49e4Xue9hrq2S/zUrvGN+REWGZuzme8TGWCQ+E7LqBoNf/iCwXYbFsIj//mQa5hvXoETKGTcZ+4yKGDPUdqOLtvaiYPxf9xZegP78rc7IzaWUK47pa7md92blDUFJiosfF/ofBarZtxbRoARVzXvZr/wP7K3ll/mFmvtAGVRU4Vy5Bjo3D1Pu0Ep+vb+Sbrwq4qHsUmYdstO8Y2jys8Acn4Lz0cpx9bvBqR+GdtxLz9jtIXvJp66IgXzBhrODtFVLAfU7coAHkv/VOtW23797C8tadaj3X5LJ9jApLJaEOhT657ADmrXOpuOQl1hVp2FspMyylupDKmc/j+2INttJsbs6dQ+WFtUt6r7Yd53xdBM21gdcxk0qKQVFxx8QwaO82Pr/k4r98bHGOvx9/i7DAs4HxP9cSs2QF9s/WUjxmOEpBAXJWJpLDjqN//ZJf64MQAoQg4pmZXidWANYJDyAXFaLd8udZtu4cZwODQWLJColjx2DwQMHBAyFe11AU7AMHhfacPli9SuKD/Gt5oO1yHnxE9mtFNNS4tm2l6LZbcG7dTGTnLrwU57050zRJwXLNNTW2L7Me4w6TfyFt/jJ8JORke57rMYfEDXFuok9EpAxvDuFaz2+xOj35LidbNntyNX15M8NlDeVq4PVZNEnJhA0fFdwf4SfHFQeTy33XC/GKouDu9q9qm7p086iThpI1hXlEe4teqIKpW7e/bGIFoNEcQVHSgPPxJNI0wDUOZyE5OnHx1YEV/AUIHz0O/fldKXK52FhWQu/o2Aaw8DSt20DPSwMLOVQ6dkJyu9HUUqMHwG5XeGHmQZ575iDjJ6ah0UjodDJqQT4aP1MT/n1VLLJGYslb2Tw8aTclJaGptaVb9w1qTKNqE6szkSOjEKUlQZ1/7ouCseMDn1j5IkzWUFlHAemnIloR5oeCqCFrLY40T65RjkOmsbHuPlEvwR4phcquPuLPq3CjMZ5mmuCEiuS8PDQ5R6lQ3JwfdjbFbs7xT+AfN7kCkCMiiZz+PGGD70MUFqAZMhCh1fkXyNlAqMdysH3yEbr02uVAleYtUFq0RAqyIT3H3xu9XmL0WImp0ySWvy1wuQQOR2gmWXJxEWpM8LVn/CEvV/DZJ4KLe8KIr+8iYuNqVKsPSbwGQq2spPTJx6h45SWi5r1G2B0DkSSJYeYUjio1V70lna6GjUWqiwrhJlUbvEKgN8rLYepkgVuFnZUydyWfHoBF6WFLuQYkiViNlgKXi+VLBXcM9N0u3WxMoCyI4pfOP37D1cCLNJtdZXTyM2n9FG43Uml1dbisLHh+RmgXGn4pL+FfltqFDiRJorwexSzri802AJerA3A9kuRdebW+KFmZmFql8YPeuwJcbTh/3YT9u2+Zk5PJuMZNG1zUwWaDcaMCF2+pfOARwp5/1ufviiIYfu922rQNZ+GbHUiposip5uchx/kfdmsyaZj5Qhv69ktk6OBtZKwO/L5WRbNzB+6u3bA++Git+4UNHRFUWYWsTEFeLlxwYZDPLjwcqaK6t+biyGgcdSRvuYXqV76oPmc9riRPhNFRu0QTQ92LDAkGlVynjHn7fKhl4alCdTOidGfQ761krURp3AS9LDM0yXtNpHOcwxf/yMnVSfTndSH6xeex3XQLTlnGtce7pGVD49jwI+4jRzD361/nvsISgVRURMTQe+BEsuE5/nmkNpV4YqpM5iH48XsoLa3/4FKYzaixDRO2U14ueGGmSmQUXHgRJCVJaAx6wgYNwbp0cYNc0xvOXzaB4sbQ63KiX30DTcLp2P9S4WZa+QGvxxnPSBQ3SzLPRKR73bc+xCd4io3nHBc0OWMVNs4AnS0KIioafWkJ9nKJ/Dxo0dJ3599TH01pMJ6rhAR07TsGfFwgbHGV01kb2ORKzs9DGKtPaGNjayqE1YeDdiupBpNfBaHNg+5FBCAkFErM5rfxdMF5SFLDhBvlJf2Li8f04I74ZD4uzAvoWF3n81E7dKTM7aZHRGB1i4IhPFyivDzwdlBtmoa9/21e1RpWvXuMnGw7i5Z04rrr42sMtMPHTkTjo5hobVx4URTL3jkPk0lDXq6DrMwgBC+EQHKcmEzWEe4nbHaUnOyAL1FZAQ88XI9Jcfv2SGeozfSOjquzJqBWkrnMEEO+Usu3pbpxpF57qhhwjkMm2Q/PVYJecNwpYe00Hrwspp3kZ1cJ3XSB5eJVxfjOcqSKCo467PxZUVN19hznqI1/9OTKNG8O7vO7oB09DkmjoXzWc5RNfwpha3jln5O4jx6h/IUZ6AJQIVFTm2K75z7CH33Qk7hxjn8srdIl/n2VxOI34P5xKkWFwT9v7ZbNNbwC9UUIwdqPBUPuFlzUXcJgkIhpdLqzNl5/E+Y7ByHswcmF+4uSfRTXrp0ItwvJZMZ4Rc1K8Y01RpxC9dqhW3/5BaXKCP7lysM00RgbxNa+t0kM/dFIm7Dqgz2TBl4+rKdi8tMISwSTWjRl+szaBz4CsPko9lob5bNmIGwN61Hc4a6gnS48oGO027fVkHm2WKAihHOLPKeTW+N8J9xXxbpkUYN7+LwjsNluOvH/U9BoQji7rIL6xybclhhMssyK/GPkBTCRVI4eIe/5Z5nTom2D2OaNYLs751XXYJrvUQdVVcGKZTnMnX2IW25NJCXV5FOEwrpiqXfxKz/Q62Wu6R2H2y1wuVQ2/FSMw+FneKfDQcTdt+Nu3dYvMQ5d69ZokgNTNd23V3DsOLRsVY/J1RNP1MgBP+ywUeiuOyTyoNtGhj3X5+/awi04WpwW6bg+zkWsru4XwKyB8ywqutxNmHe+5nO/9Y5iLg2wmHFV5OPHUROT0EoS7cyBtXPnOMc/d3LlcOC88j/Yhnr0/zVJycS8/ha687tSeHs/HD+sb3AThM1GyfjRRM2aixwe2MfpvKY3alISxiVvNpB15/g7Mf5+iTvvlhg5VPDOChGUlLbut1+Q7KFbOBBCMHq4YO9ueHuFxMU9a3bSkiTh3rML5x+/hey61Wxwu6lY8DIlk8aBRoOhxyVIOt+yugNMSbzjJRzFdfw47gOe/KBS1cUEHzLUoWB7mh5ls8vrM9xZqUG7+Q+0u3cyb65KYmLtz9kia9nrpRZRXaglxUhRDettGB3WFJMfeRVVkXM9A5aqhDrcTJYkLqwjJPAk2nYdcO2sWUOmoZHlfMLC3jj5L4zGD0N+DUUR/CJdQXKKDkmSmNg4jRezM/0+XoqNpSLP9+C4oQhKY0uSsA0bxZ4/8hh4+xaslQqjxtYdyhg+8cEgrTxNcmMjLVuFUVTo4q7bNrNxQ3HtBwhB+COTsN8xEMz+CS0oR4/i+PargOxKSYXu3QM6pCYbNqDb+FO1Tcl6A/Y6cq4Aehmi+c5Z5HsHSYOoIpFuVaQaSoG+uKqRG1dcF7T5f/jcZ7e7gjbaMP9O6A2XE/R6VhXkctjRsIuH5/jn8Y+dXJkWvIzStl2NPCvTtdcRs/Rd5KgoHD9vQG3A3Kay6VMJHzkGbbPmQR1vnfhgneEC5/jncH4XiWXvSpSVwrEcj8pTIMh5uajxoZGI/eoLwcEDMH2mxMQHJIxG372evks3JKMxqLCV2nBt30bhgFuQwi3ELH+/znxFgH8bGvGLq6b3ztCiBUrmIQAeLttLjtowIbfFLthQquXTqYrXsnVxesHRy3pTkNKJWQ+Z/ZpYrHMWURZEaGBD5sjkKg6OB3EP5ePHUBNqvqOD7w2NrUIIbH4M/E6ia9sO187tIbl2IGg0WSjKyVo5YUhS6KMpfvsVYr9ZcOrfF1giKXA5OWT3z6M5v6yIJMfZDZl84GFD0N6r3bsrePnOD5g5sxX3DktBq6277ywZeV9wF/NCnxvieX1xR9auyeP+8bsoK/P+zRoXv4HauAnOq68N6PyubVv93nfjBsG8OQJzWD2/q27dUM6oCXrYYefL4roL0xklDRGSljwvkQSSrQBN0XaoouJ3pqe/NvZVyqA1Iyl2EDWPE0IwITwtJG3gcaeDxCDy3c7x/5t/3MhdqijHuGgBtrETfQpYyOHh6Dp2Ro6IBJ0e66p3Ef5U1wsA9/59RDz6pNfwJb+RZewD78H00ovgCo0y0Tn+3mi1EkNHSCQkwhefQ2GBwGbzb7Qh5+WhBpCc7Y3ffhG8Ol9w8SXQvAVERvrXOUk6XcjEAYTTiX3dN2AwEP3qGx7BCj8XGTSSxFtRHbGfEUqnb94cd1YmBaoTu1AbLCRw7mEDY1KdWK3w3sqav7cyqxz8Yw8/3/Yqi7cUkO2se4LSUWthq8v/uDmhqg2+KBMr67lM77tGoS/kwoIaniuA0tLQFNr+sqSQ5kb/RUo0qU1Rjhyu93UDRavNwu2uGm4lA4GHf9bG1xmltDRnVdv2YEozcv0IDfy5rIRctwvOsgZUZaUgL7DUMIQQvDjrEK07xbBwIjTb4J8XUDgciBCL8URG6nhmRmvuHNgYrUbi228Kq+9gt6M5dABrgCqVcnw8ar5/N0YIwfy5gnuHhuDhlZURNqN6mYBYnY4CP8ICAa41xPKjF++V4cinUEWmvcQFG0r894JH6QQVbnBHtUZTsqfG7z86i2kk16/wctkCTy5xvstJXC3REmcDw8FVRGd0J3ZxNNEZ3TEcXFXvcx48eIAHHhjHmDHDuPfegSxatMBvr/Eff/zGk08+EvS1VVVl3rzZjB8/kokTR/PggxPIzj7qc/99+/awePHrQV/vr+CfNbkSgvCJY1Da+ZffpGvXHslgQJSVUTTgZlzbt4XMFNe2LWAMzQDONmos2h3boIHzWs7x90GjkbjjLonMQzDwdsH6dXU3emqjWDAFp35XUiJ4eJLKe+8KBtwB5rDApHt1HTsjbLZ6icYIIbB98jHCZkWOiUHXKt1vmeSqFKkuPrRVH4joW7RA0mh4x3aMAX4WtwwUIeDuZCc9oxUiIyUuvtSjrliVf0UqVMphhBUexZjiJMePyVVnnYXN7gASqoUg8inf6mmh4A3rUQrUwL0aFTNmoybUzIfqfF5oxFyX5mYTq/N/UCXJMhGPPFH/CwdIdc8VKEoyslw/5bmqCCEo3JxFdKfqXodWJk+Y1I7KilqPnZOdyYTGaYSPmRAym/zh/C4aovyL6CQ318GYETv4eWMJEyY1Q5Ik7AMHY3x3hV99pVqQj9xAAkDnd4lAb5CIj9fzx++l7N9XiZSXh/6br6h8+rmAFz/kRrGohXV7iwA+/xQu6i4RHROCDyo2Fqmo+gQxVqenwOXft3+DMZ7rvRRB1x/5AmfK1af+fcQuc8zhv73rijQcdcjY2g1DNdU8f1d9JKn1WECTCgs97xGgCIG2DgGPhsRwcBUR3w1GW7wDSShoi3cQ8d3gek2wysvLmTLlUcaOvZ958xawYMFiDhzYz5o1q0NouW82bdpAQUE+c+a8wuzZ8+nT50bmzZvtc/9WrVpzzz2h8zKfDf5RkyvznFm4LuyBq/vFfh8jaTSEDb6PqJdepWL+HMqemhxczPcJ3IezKJ3yOKa+/UIXlqPRIBfkE/7IpHMCF//P6HqBxOKlEt99Kxg7Uq0xWK9KxdTgCpFmHhIMHSzo209i5gsy0dHBvbeWBx4J2nvlPpxF8ZCBuHZsQzIY0Xc+P6jzAMRp9Jyns1Qb/GujozHfcx/rHEX82xC4x8Uflh7TYa7Soh7Lgbffqv68uloUdmyx0Ckh71Stq7rorLOQW5vq1hm4D+xv8Dyin5zFJNdRINQb5hdmeJ1F/fkHHM7yckAAFLicmDUaTHJgeWCuPbtRjtctGx1K7PZrUNXTA/vKyhGoamCCBbVRWABXtMtCe0ZIF0BbcxgtalmE+bKkkK6WSOJ0epSDB0Ie1VEbe/eo/Lyh9n1UVfD24qNMHLOL4SNT6d6jSm6hXo/9joEYPqx7kKgU5CMHsXjjL1qtTIeOFuLj9Tz/zH6ef62Q8vMuDOpcklaLtm27OvcTQrByuWBIqMahklRjzBGp0VLq9i9MWZIkXq08jFrlHJLTE7Yt9BGnth31s8bVSRINguMOCdWchPHAe9V+E0IwuWxfwPmg1c4RFYV9sOcmzmxWdzh6Q2Le8oKP7b4nI3Xx44/r6dLlAlJOiJVoNBoef3wq1113I4qi8NxzTzNx4miGDLmL119/FYBnnpnCgw9OYPjwwZSXn46k+PLLz7j33oGMGDGE6dOn4na7OXw4i+HDBzN69FDGjRtB/hle1/j4RHbv3sU333xJSUkJPXv24umnZwCwbt3XjBkzjNGjhzJ69FBKSkqqecoGDOjLM89MYdiwe3jkkftRFIWMjFWn9u/btzfTp08N+t6Ein/M5Er780bkI4dPfRCBoklMIvq1RZgG3IGSecgj+RwgqtVKycSxhAVpQ204r7watWkaxjcXhvzc5/h7Ex4u8eTTMkNHSOze5ZkMqWrNjsj0ZuBu8/lzBSmpsOwdiQsvqt9igLZ5CwzdLw5YObDijdcoffQBIh6dTMSDjyKFwOObrTpYbs2pts324WrejOrQIKuQR+0S18W6STCcfi49LoZff6ke7iZJ8NGBKJqElxLn5+QqUtbxmMX/vE1demuM1/QO7A8IACEEDqFiDGLwYhsy1Ov2goL6T66+KC7gmiAK3Rp7X4/sxZvWkGi1+6na/Wo0h9HrQyeyVFgIl1+tR9ehphx/pFbHwmNH+bHUu/BClFbLiBN1fQz1CWsPAkWBXTt9/66qgmVLshEC3l7ZmfYda5YCcNz8XxzX3wSVtQvByBYLhksura/JddKkiZFlEQvobM7lztFH+f234BRdw+4eUuc+5eXwxltS/XOtqnLGBEuSJF5r2d7vwwebm3BIOZ1TKFfmYG91R7V9cuwSjf2ocXWSxBNy7GgM2FrfXe23vYoVYz3beP2nH2N4dwWKELyb3/ALL4YD7xHx1X9P//f1AADMfz6HpsR7NIimZBeakr2Ytr5Y7djwjffXeb2CgnySz1CfNJvN6HQ68vJyad++I7Nnz+eVV97gww9Pe8i6du3Ga6+9icXi+e5KS0tYtGgBL730Kq++uojw8HDWrFnNr79uonXrNsyZ8woDBw6mvLx65EWLFi156KHH+f7777jrrlsZMuQutm/35BQeOXKY55+fy/z5C0lNbcovv2ysdmxOTjb33jucBQsWU1JSzK5dO+nbtx/z5y9k9OjxJCQkMnr02fW4e+MfMbmSs4/i7tiJimdn1Tu2RJfeGjkhEU3TNKwrl/mdpC+EoHTSOCxjJ6BNbVr3AUFgHXc/ul83odvwY4Oc/xx/bzp0lLj0Mokd28Fh90jtnsLpxHmtfwNqh0Mwd7Zg3beC4aM8IYh6fWg647DB92Fb84Ff3l/3/n04//gNw6WXE7P0XbQtW4XEBoDL9DGsdxZVWzH9uFOzBpOMn3LAQPkZKTOSJHH5FRLffn16m4xg7BgJ1/U30MxoopHWv1j+xdZs3F4St71R+fZiXH/+7q/pAXNMddA4CK8VbjeWcSO9/hQXV/9aV8VuF1dFBT65Ug4dxHpWF60EDkev6jYoabhc54XsCocOeuS7dR07e/39roRkXsrJqvGdfltSiEnWEK7xyJPbv/4S5eiRkNlVF0nJErlevPNut0ppqYu33jzKwHuacPfgJj7l1ZFldNu2oMnKrONqEtpWDe+VML3xGmrLllw16TIWL+1EYqKBjz7MxeUKzCNoX/dNnfu8/y4EqSzvk8rHp9aoIbbguP/vhBPB9Cr1ByVXBc7U6n2VLEGayf/7kWAQ5Do8w9ewzTORbKcbj+8dRVwaRD5oVTTHclATk9BIEhMap9XrXP7gaHErZVe9f/q/K98BwHr+wyhRbbweo0S1RYlKx9ZpQrVjK7p793RVJSEhibwzlEBzcrLZvPkPIiIi2LVrB1OnPs68ebNxOk/n16WeMbbNycmmWbPmmM2ecOPOnbtw6NBB+vS5kcjIKO6/fwyrV7+HRlP9pdy/fx+pqU2ZOnU6H330BcOHj2by5EcQQhAdHcO0aU8yffpUDhzYj/sML2lkZBQJJxbD4uMTcJ4Irc/KymTmzOk8/fRzRERE8Ffzj5hcaTIPIZeXgSE0ii6y2ewpwnleF0omjqFi4SsIpfZkY+emn9F16ozh0stCYoNXJInyWS+hxjQCP93y5/jncd31Ei43zJkteOYpFWulQHP0MMa3FtV57MYNgrtuE6Q1g8su9whohBr9RT1q/V0tKaZy0QLk+Hi0ac3QpbcOubKdRpK4RB/N+hPJ1CWKi8s++46wzNCLF/xSKhOvF6SZag4Kbx0AP/14evuyJfBBno6ipq1objTRKcy/Irz9jIkUqP4lkbv37UWObpjQRwCbUOnjJY+iLuT8PNQ472qWsXGeULZgqVDc9ImJxxLEyFLTpAnOX34O/uIBotXuRq8/c/IrYbGEJk8u85AgKhqUzb4n2NFaHZdERLG26PSg1KGqXGiJop35tHy1WlQUchXQ2khKkjlTfawKxwAAIABJREFU/f2rLwq4o/8W9DqZwff6V/DXdVEPNEcPI+f6zmMTbjcEoCwZDLqffkD7+2/YTuSuhYdradzESKfOFspK3axcnuM1CsHrudq2q3Vx6KsvBLcOANlfPXM/0WRlosk6VG3b/Y3T/E6fiJF1OBFUnFA8PRkWWJUb410099J++qJbhMKoFI/XXwlPQZd3OtLoJ2cJPfR+Ju75QM7JQU1KZltlOS8fO/uCN1WxdvbuibJ2nhj0OS+++BI2bdpwSkTC7XYzb96LHDx4gE8/XUt4uIUnn5zGgAF34nDYTz1r6QyPYFJSYzIzD2E7UTt28+Y/SElJ5ccf19O58/nMnfsql1/+b5YvX1LtuN9+28Rrr81HURQkSaJZs+YYjSYqKytZtGgBU6dO56GHHsdgMNR4z7yNFY4fP86UKY8yefLTxNVT1CtU/G9PrlSV8IljcHc+z6sCVX3RtW1HzIpVSCYzhf1vRjmW43U/x88b0KalET58dMhtqEF4OEpKKqZFC+re9xz/WCIiJF5+TeaiHhJ33yn4c+1xnwPXk7yzQrB2jeD1xRI39g1MsCIQNCmpFN83qEauhhAC6+r3KBoyEG37jsgRkcgxjRrEBoDbTcn86PSEPi0syiS7cSLuOlezA0MImJNlYHxT7+F9MY0kHn5MoqxMUFYm+PdV0CFGZZ9qRhGwtdI/FcDd7gret/kneKDkZCMHWHA0ECqFQvcgBi/y8WOoid7D7xo3DlqLxWOTovgVYunVrsgo1LIABEPqiVa7DyG8LQRKeMpG1481GZ7wOikyCknjO3Tz3sQU3srNPuXdXZx7lC+LC6qFzWri4lDr61IMAItF4mSaWE6OnRH3bee3X0t5a2knTObAwlDVRrGYZ8/0+bty6CCSn3WmgkU+fozyF16qEVGT1sxMVLQOq1Vh4O1b2L3Lt8DISWwZq1ByvCuqlZQIFr8hCKtHWSdfOHtdjtK0eu7eqAM7Ka9jwbkqVxhiWOcsQnd8A6q5ZhuQkasLKOhIFfDyEY9wjSv+InS5pxdHrjXGEi7Xz30nH89BTUoix+nAogmxKzBAHM37UXbZm7ijOyAkLe7oDpRd9iaO5v2CPmdYWDiPPTaVGTOmMXr0UIYOHUTLlq3o27cfXbtewM8//8Tw4YOZNetZmjRJoaDAexsQFRXF4MHDGDt2GEOHDqK0tISbbupHmzbtWLjwFUaOvJc1az7gllv6VzuuX78BWCwRDB58ByNGDGHKlMd44omphIWF0bFjZwYPvpNRo+7DYDD4vHZVXnjhWWw2O7Nnz2D06KE8/fTkoO9NqJBEfdQbguCmm246Fa/ZpEkTnn3W92pdfn7NgYchYxXmOS+g3bsbNToGx9W9qXhxXoPZexIlPx85IgLrymWEDRqCLWMV5XNewL13N5pmzbGMux9z/9sb3I5TqCrh40eh27IZ7d7duNPbYB1/P46+wX9wwVD1efxVNvxd7MjI1TLnsJ69Vg3pZoXxqU76JjS8h9FaKTg04wOaJ9kp7Xs7mzbCvDmCfXuhVToMHQHFRRL3DQ/9qqYvikcPw/Hj96i5x9GmtyFsxGgcn36Mrks3wkeORdLXTybXX1Zac3il8gh7lUpu+XUPdx0qofvY4CVkz+SIXWJtvpYRKb69SvPmqLy70pNTlJQMVz2lo7NhO7d2jedbGS6PqnuCWaq6mFS2h9ej6lZCLby9H41WVFeSMhxchXnLC2hLduOOaoO18/1Bd84bncV00UViCDCvQf/ZJ+hzP0cX+VsNO4QQFBd5JqPB8E7eMfrHJfq1YLAmI5d5czLZt9dKq3QzY8an0TNjPNGvv4UUouiH2ggLm4/dfiOK4vHCxMVZyM8vJzz8BazWgdWELoLh9v+qLFmmUjbkdhote6/WfVfm5fDqsSPss3vyVF5o3pqbY08Pfu1ffoaSnU3YPffWy6a6qPpM0pqZGTcxlW1bKuh/exJt2oYHfV7L0EFUPvwEavMWNX4rHj6YyBmzkSM9CwWh/EYAzLNneiTX63gnc3LsTJuyn7btwhkzPs3r+3lj3wTK576A/sIeGC6qWRl4+tMqPS+V6NkrNO17VRvSUyQm9Cqk9/O3nPr9icx93JPQmOYm/yanuYqDaeUHeGvLHCq7TUENS672+59lMudHeA8LPPl9nIlDBYMMqAoRX99K2X9Wc9BtRUHQqj7FgwH9p2txXnsdS/JyaP3VlzR/fSHuvbvRprfBMv5+TH/BGOccf0/i4rxHn5xVz5XD4YmNXLp0KUuXLq11YuUNQ8YqIoYNRrtrBygKckE+puVLMGTUX/O/LjRxcUgGA8brb6L0makUDxuM+4Qdyv59lIwZju0s2HESw5oPML2z/NS90O7aQcSwwWflXpyy4Yzn8VfY8HexIyNXy7BdJnZValAE7KrUMGyXiYzchl/1ModJdEvJwxoRz9o1glHDBLt3eVavd++CiWMhIVGctYmVLWMVtvdWouZkg6Lg3rWD0rEjMFx+JZbxk87axCrDlsu4st3sUSoRwIakKDbu30KGLbfOY/1BEZBtl2udWK3JEMyYDpmHPGkL2UfhzScVft1tRXM4izeO+67tUZVIWUe5n4WEjVddU+3fVaV8qaeUrxCCTLct4IkVgBxzGJO6xKsdQsDHawI+JQBWReGT4ny/J1ajhu1g965KFEWwe1clo4bt4JvUO1Ar6vYehAKN5hiKklxju6I0RaOpn6pHVqYguQlIeTlokmr3XmYU5DLu4G522ypRhKBSVRi+fycZBae/D01qGlJkZL1sqoszn8mB/ZWMHbmL87pE1GtiBWB94FHCnvc+zlDLypAiPH9bKL8RhEC38Ses4yf5lQOenGzklYUduOXWRGbNOOj1/VyTkYsmznutq5wcwf59hHRiVdWGXZkqQ5dEsybj9HvRKIBaVwAJGgMvhDdHshfUmFgpAmZnBb6oMXj7CVe3rMHR7GYAwiQNFilEfa4kYfx4DakTx50a67l37aB42OCzOtY7x/8mZ9XfuXv3bmw2G4MHD8btdjNx4kTOO8//JF7zHB+SlHNnnzUvhaZRIxxffOr1t/K5s8/aioavexE2/SnURrEYPqpeSLFi+kyMS9/CPmgI4Q9Vj+F19O4DBgNqo1i027ei+/m0OouIjqbysScxLlqI89rrMM9+/tRvho8yvNoQ/vD96H76EaV1axw39EX76y+oTZpgXPZ2tf0qH3oMw0cZ2IcMJezJx5CqqDu5el6K0rwF2OzIJUXov/zi9IGyRMXMFzEuWoi9/+01/p5T9+gsvhdzDnufMMw9rD8r3ivH9TcRGxbGO328//7yS3DTzQ1uBgDlPt7NyiVvNvgKeFXmVGZW+/fxpFgWDruVxMos+ppqD6H0B5cKGql2x/+8OTV/l46qpC3ajJyeDE1rDrJ9ESlrKVFdRMm+RTCEy4Xu/9g77/CoqvSPf26Zmp4QSAFSgNCLYC+o6KqrrogidlT4iaAgqKuru7oq6oquHVTABQsqFlzsoqjIWlFEkN4TAimkZzL9lt8fkzaZmWRmUnDdfJ5HH3LbOXPuPefe95z3/b5HjfbbFkrKN/b72zAU+8Rx3LkTQXWhxudgLPkOuawpXkez9sIx/BbMe9+ksOexDNs4j1hjk/y1c9hNyId/xJ09HuvW5xHtTTE6SsoIPJlnIFdvx7ozuHSwddMTuHMnMmJUdE4Ua2oqOS0hvBiz+U/lB92++KtkJlxbCSmd56bagNc7HAh0cXO7T6G9WXt374LxFwqoBflBZdib81RRftDtTxcVMKGHr3/IA/IQk5KCHtdRhLonC54uYPyE9vVTdUAennFn+maagrhINhjkrcldR7p6ZXl+AUBEKWHAZ2R98mFwF6iH7t9D/1tSKfq+AktCJR++32RklZXBrNkDeGnJQa6+NpO//cU/qe4556ZiNImkpBjYuqWOH3+obtyXkGjgrrv78dKSg5x9bipPP77f79rNaX4/Isl11cCWAx+Q1+sEWprLpW6Bnsbo5P513We/KqnHINbuZ7koMCc2O6prNUfN8l3j6JdeDLq/K7/1uvnvpEvdAnfu3MmmTZu45JJLyM/P5/rrr2fVqlXIIYKQFUVFlpsNiLLsGyRbIsvgDX8Wpb1saqUeI7uqHq21RWUl1LQIGs3I8G1PSYFDLQKUExJ8I5Qsg9PpL2ErSZCe7tNKjo+Hw80G3uzs0HXYv98nMJKY6Lue0egrvzlpaVBdDT16QFGRvyJRbKzvfE3zldEyJqJ3b1+dkpJ8xx3h50Je4ZuBC9gugLcrxuD58+G667AmqiGbwu7t3BnoBn4T/QOQN7+P2iKGZdrCN1k6/TK8wy9o17XdKty7FeaNaP04q1wTtCkGTCxgy1nruHjUSF4bPQZzK7ExDRxW3CRLhlal5DWnE8dPPxE7tpnE9KMy6EEqIcpwQ32gujkRdA0kE3jrwOv0Py6mJ7iqeM9ZS11dCVcmNhMWsPYArwNMCeAsB7XZPTZYwBgHigueTg5dj9u9XHi+nXc/jNydZ/IvP/PwoCFkhhG0ZZXfRw3SUWVZoGJjP8xDw5eYjg43UAxkB9nnBL4AQsyQhMG+fRq5uSIVS5YgJSWReFHoGRX5w/dRg7z+ZUHAe76vf2hOJzUrV5J0Ree4vOu6jlV+v6UYna8esoDd275+Wl+Ib3y8+Wa/zfkTJ5K9on4ForU+cnsEY9bnn8OyZfDSS1EpF7f2fJYdHofH6UWKi6Wmxjdht2+fSmmJzsUTY6ms9JCSYuTQIX/Ri4QEGUEQkGUBp1PFbm/6nZIkkJ5uprzcTUKCgdJSN3nZq0PWoeF+bLfZUHWdYZGosm1awv60Y8jp5T9ofl8BX5TC3W2n8fJj8o/w5EhIMQG1hdTqOlOqS1iRdWxkF2pJdTW88w5MncpGWUb4DbzLuvnvo0tXrnJycsjKyqpXB8khMTGRsrIy0tODi1FUVTn8/k7KG+Rz/WqBkjeIqiA+uZ2FnDfIt0wcZHsw3+DOoNW2cOH70GlOhR0wQXld4D4X+AKpvYAcuL/M5ju3xu23r9U6NBxX7QIk8KqB161y+q5bZgNDC79VL+BtWPERQtep0nHEn4vPKyR6Gc0UuQM/evOsKmVljiBndTAXXQEOjQF5PlfAlgzICx7D2Bn8FvoHQJ5sZbvin+tm8fRLGSLHtLseiwoN9DXolJW1vioZ6n4M2VJN9bBy4keKbC+upLep7dxeuxU72711jG9l1U3ZtwfNoeCs/31y+S8kSGZEJTDnj5IwiCp3fb9y6/hWTTyAsf6/ZjjtgJG1thrONfelzN3so8rtBQxQ5wBaxGC4G/4nkOJNRpQDZ+aVBF8/9Xo1SktrI3Jf1XUdqyJgrFMoq2v7ng7Is7Jje2BbJCcbKP18LdaefcMuOxoEoQ5ZPoDX27RC1hRToiEII9H16J5NTdNZ/SlcNFFAP/ciVE1r9TnPs1jZ7ghsizyLf/9wxyajdEK/ra724nFrJCcbKC8P/FAdkNf+ftqA8McL0Yur/HTKY55/kbLSaizbF2GVLIhKoFtow7MZDmL+fuIe+Ac1ryz3vWejINTzOSAvBtvhcpwrVxAz9YZGYeTcXJ20XlBR4SuvvNwTIJrscvmPUS33l5X52r662ndua3VouB+C10Ohy0kvd5h9VVORrKOYUl3D60KN3wTRlsMyiRohx9JQMVeJmpEtRQpDYjXQE8jf+AhH513V7mdG2rIN8+bt2MtsePsPwLgzMM9UV7/Luvnt8puIuVqxYgXz5s0DoLS0lLq6OlIjyJDumBNCknJ29JKU0RAXoh5xXViP30Jb/BbqcCTrUeIWmL7NzHfVEndmu4MeM7tvdApmkRJ7520gCMyaE/xlN3N218RbwW+jfwDMickO2PbnR5dwe037Yr5sCnxWIXNxGO6eoe6H7a/HsXHyzfy9bz/SjeHFG+TJMfypDQl0z4afGxURLVsWYNm2kLpjHwp6bDRSvhWal0FydHEw6vbgSoEN9UhMhOrgeW1Dctjr4a4+4SdYnjUnO+j2v93bj89e/IVFzx1AUaJzUQoHSSpCVUMlLBaxWl+P+to/roOx9emz6p5fEHz1uBlzMrKDbp+d4Z/Lpm7BU1HXKRher0ZVlZf3V5aSlGzg/ofygh43c3bH5YvULVbiJ1/W6B2h1dZgX/QkhuKv0GUrdSc9HfS8sPuIoqDHxGJ7+llohwJhqOdz5uwsxOQUYqbe0Lhtw88685/SSUru2LE9ZB1m9m78t0kUSQozRx+AoDoQ7YWcYEzkhxZS7OOSFc7tEbnr/AU9FVIM9StsgoC5aA2ntlOCHUAqPoSa7nPX3jP1+qDHdPW7rJv/PqT77rvvvq4qbODAgXz88ce89NJLfPrpp9xzzz1kZoYOunU4/D9M1cFDUPsPQNq3F7GqEmXQEOoenNflqnCGwUOQ+w9A2bcXraoSedAQEh6c16U+uL+Ftvgt1MG/HnsQq6q6pB4/VEvcu9fEHTkeLklTGBan0d+isc8pUqWI9LOq3NjHw7WZXZOPzPzyUtwXT2LQYIF+/X1JRKurYOAguP9Bn/R6V/Fb6B8Agw2x9Jes7FOdVNUbBVPzazgpMRO5T/QrFE8WGBnfU6GftW2P6lD3I+coHddHn1Cak0K14iUjjJUrgMnVm7molZUr1+pPMfdPxaL8iqvfJXhyL0btcRRqwgCkmr2InkqUxCHUHT8v4lgSXdc51ZSMWYhMErsB47JVOKb8DalmN6K7AiVpqF891v+kk5MrkNIj/Gf1V7sNgyiQEOaH3qDBsSQlG9ixvQ6XU2PgoFjuf3AAEy5Oo+cP73Aw41genldIbn8r6Rnh3ZNIsFj+japmoutNMWIxMabGd53ZvBqvdwQQedn3/FXnwgkCBqOAcdRRCObWrzHYGkt/s5V9LidVipdB1lgezBrQGG/VgHPlCqwXXRJxfYLx80813DZnBzk5Fv50YS8kSWDQ4Fj69beyf5+T6iovffrGcNrpA7j19lBGaBTIMmJREVJpMVq/3qBDvGE9nkFXofQYhZo8tKmPuMtR4nOpO+HxsPuI8aMPIC4OrY04t7Zo2RYNz2dDrFPl1MlYxk9A13Xuul3n9r8IxMR27NjevA4V5R4GD4nhwcs9XHBNHhh8/UwAPqwqY1RseG6BpoKP8GSOI0W28qarmDNNTcm+lxcbyLXqxIQYVpr3j+Y4Naj0CvQy+cbhopJvGJg8HN3cvrhJw7dfo/VKw92/P3OtRiYedxLeTRvRHfYj9i7r5rdLTEzwydEul2KPhNaWXUMtFXc1v4V6dNehWT0euoeyvz3QadfXdZh/wMgNfTwYBF9m+YA61LfFmkqJFIPOiLjOmwkHQFWJv/YKape9GbQeR5LfQh2a18P5wbvoNhvWK66O+loba0VGxmkRh1Q0b4sNtSJfFDi5fbgJTdcRw7zY9OqtPByfR1IQUQux7gDSook4J76BnJkBcuDHdXvuR52m8JarhCnW3m0f3BKvl/ipk6l9ZbmvHuZaylz+H2Zlh3Vi48BiCa8tVF1nVVU55yVHJl2+b6+D7BwLvXrF+7VF3bPPYBgxkrrBJ/CPB/ZywkmJTJzUsfkT4+P/Tm3t34CmF3Lze2K1vorXO6LewAqfqkqdu+7QWfgvnzNKxeUXk7L8nbDPb+25qJx8GUkvvtZqzqy2qK728shD+1BUjb/e3Z+k5ODGcGpqHAcP1uLx+HJedSgOB4l/Hod+XjLlhqtx51cRO+3GwDpUfIqtohRX3uSwLmt64zU8fzwPPaH9qyZ+9QhyTyquvISU197myy901v+oc8ddnet89PCD+Vx6eU/y6naiJSWj9fWtJuq6ztU7f+XVQSPbvoiuk7BqPDXnvAeCwMWVv7AiaZSfumeDMEUwQj2b1V5waz7jqlrzIu97hxRNwZ13VVS/tQHzS0vwHnMcBwcM4LGD+3nUEo96sJDMc888Yu+yxjQvdpG8GK3daV42bFjP3/9+F9nZOQiCgNvt5qyzzmHixMt4+unHufTSK0kLkZOwPSiKwiuvLOX777/FVO+f+oc/nMP48ZGpbS1ZsoiUlBQuvPDIG7m/CbfAbrrpdPbs6ZTL1ilwzx4Texwi0/t4MInBDavmnJiokmvR6OzpC6GiAi2lR9sHdoOcnYNSsD/q8186ZCDDrEcTq+5HnlUj/8ctrLfV8ExR+PLbIwxxbPK2eMFrCpbN84n9/jaqCnojZfQJali1lxpdYYI5OvU2oc6G99jjmzasmhZwzJ49sOHngM0hWWerZrsjstgWXdf56x07g94/w4iRqEWHSOlh5PGnBzPh4jQWPnsApyP8ZKlt46G5YdUSRcmOSo79s0/hrHN8P0qrqUbsQPl0ISkZraUYUZjouk7RIRebfqll/EU9+ecTg0MaVg2IIry8NKriQl+z7gDxP9yAdmxfXLWT8FaD2COEUZ5+NHL5L2Fd1/Dlagzff4se3zViQeBr0yWLdKbf1PneCMNHxLNtWx3Szh0Yfv6pcbsgCGGnu5bLf0ZJHd1oPb2cONzPsLphmzmq8VTH554NvsTmhT1GIQSJm4sU18RLUYcMpcTjJs1owrPxF7zBAme7CL80LwgdluZlzJijWbBgMfPnL2LBgsW88cZr2Gw2Zs++rVMMK4DFi5/D6XSycOFSFixYzKOPPsXq1asoqHdl/z1xZFNPd9PNfwEfl8m8cMjAzX09DIgJfxXKJMLig0ZyLRrnpXaee6Cgaz654W7aRMrJxXjU0VGdW+YRuCTNG9J9JRJiZZi+9QNi5dspi0DSeJQhjvWeGk4z1buV6RrxX1yJO/sCas98i9g/dN4H18uOQ/zJ3DPoqllb6EYTrquvadogiD51wmaB7cefQFi5qhr4qLKMq3uGL2UPsGVzHUOHxwUtx3TKqeiepnshSQLTZvShtlbhlpu3c9fd/cjKbluRMDQKrRlWAIrSH4NhW8RX3rVD5+Zbfb9JPVCAVC8l3REk3PtAYz6oSDhQ4CS1p5Hvv6vm4kvC/1gzGARmzo64uOBoXgSvDWPhp9hH34M6Nhe8XrTFz2MYPSb4OfFZuPpd1ualxX17sT6/gJpX3ohKGTAaBLMFT62DhUusHb+yF4ThI+J5640DaGP7IEcy89EMU/4HuLObVB8rNC8fucu41OJbFbYp0f0OiwhfVkpcneFlnaeaCxMG4pGjj3drvO5rL+O8fgbVipc+RjNq/n4MQ9tO3t5ZdEWaF4fDgSiKSJLEzJnTuP32v5KS0oN58+ZSU688PWfO7fTr15+LLz6frKxssrJyqKuzUVNTQ21tDY8++hSvv/4KmzZtQNN0Lr30SsY1+y5RFIUvv1zNG2+sRKpfBbdarcyfvwhBEFBVlX/+8x8cPlxKTU0Nxx9/ItdfP4O1a7/k1VdfRpZl0tMzuPvu+xuvuWjRs/TokcrFF0+itraWOXNuZOnSVzukTdpL98pVN78v4uIQbLVtHxcmj+43sskm8vpwJ6cnRz6DPSXTw5JDBjoxRh4dAeWY4zqvgN8RYmwcGCM3DgDu3WvikKvjhsydaQNIdrkjMq5GyHGMMdQnPt37FqItn9ozXsU94EoQBGyPzeuw+rVkh2JnoBy5VDqAVHQIeXszo8HaE8FV7nfM3j3w9BPhzYdrus4Oh52Blsjq88lHhzn3vNBuhHULF/j9LYoCiYkG7vhrLvfds5sFz+Tj9UbbmWVqa+9r9QhNS0NRsiO6qsulM+fPAgkJvo9UJT8fOTt8kY+2cK/7ASWCmXuPR+OZJ/O5757dOB1qRIZVA/93bfsHTLHuIJKtALl8E67B16Mm5oEsY1j/I/ruHYipIcRhBAG5ahuorfRLVSXuL7die+pZCCMFQEdhmXgpLy1WiYmuG0bM0GHxnHhSImpGJtKhQr99vYxGwooqUZ0oPZpy72XJFk41JqPrOk4VTGJ0rh1mCTyagKbrvOEsQRQEDCXf+iZt2oHnpLEgipyemMJlPdNRCvZ36GRFMN4plbnyV0vjf5M3+zwPHsv3uQIGY4ddZLdd5JkDRr9z79wVnkDSzz+vZ+bMadx883Tmzr2bW265HWszMZZXXlnKmDHHMn/+Iu6442889pgvGffhw6Xce++DzJ7tE64aM+ZoFi5cytatmykuPsTzzy/lmWcW8sorS7HZmrwsamqqiY+Pb0y9tHLlCmbOnMbUqVfz1luvc/hwKUOHDueJJxbw3HP/4t13fWkSVq/+lEsvvYLnn1/CMccch71ZqqDzzx/PqlUf1R+3irPOOies394VdK9cdfP74uyzwemCuAjybwQh3ymwvlbitmwPUjsmCGMk+FOqwpulBq5M75y8GIK9Lngujm6CIkYRG/GrTcQi6uRFsHLZFn90FxBTVo5dC//exQoSMfv/jdVVgWPEbSA2LaPpioL1uuDqVu1F13U8uoaxlRxbbaH0b6YKF5eJZD+EYmn6wI2PhwMHGiThW+eA28UpCUkRrXQBbNxQy5//EtrwMP/xfHRVDYgvys21svSV4ax8p5S/3bmLRx8fFFG5ALK8DUGow+ttPQ+PJB1CVcM3jkpLYN8+OH1cfTl5AxE68IPf8sfzwj72h++reOKf+7niqgxmzcmK+P404PH4nrlozhfc1cT8fD9oKnUnPY2a0N9vv/eUU4nZtxchNnisBIA7Z7wvx1UwNA2xuIjapcvQ2/meiZStNTlccbEdUeyaci0WifJyL9qxGYglJX77/pkziLZ6q+CuxDH67oCVvefsB5hkScPqjSfTFL3fvA5sV+wMrp/08fY6EalmN2riwKivGfOP+6l9fQX/Li9hZEw8SSUlSJlRxJlGwMW9lKDqs3/O9vBBmcx2e6C7xKAYjQExGgNiPBCFPtOYMUdz//0Ph9y/b98eNmxYzxdffAbQaCglJCSS0Owd2rc+Dm/fvj3s3LmDmTN9Lt+KolBSUkxcXFzjeTU1NaiqiiRJTJgwkQkTJvLuuyuoqKjAYGtMAAAgAElEQVQgPj6e7du3smHDemJiYvB4fN9Ls2bdwrJlL/Huu++QlZXN2LGnNZadmdkbqzWG/fv3sXr1KubNC56o/kjQvXLVze+Lc8/1JT6Okg21ItO3melr1rm4p9Iuw6qBq9K9fFIud1rslXS4FK0Lff7/21F270ILIydScx7LN3JbVsfK6q8bP4VvrH24NDU80QSxdj/xX1zJIEcJjuGz/QwrAGXfXurmP9mhdWygUHXRR4r+g930zptIxc2Slw+bjBrr/0WQnAJVYYb2xEhSgGR4OCx+cXirebQcryxF3b8v6D5BELhoYhqPPDaQ77+r4vvvqsKbua9HVTPwekO4ojVD1034EgqHh8+wavpNyr69SKFWZaLA/fVa7C/+q9Vjqiq9FBe7KSl2s3jpcC68KC1qwwp8ee1rato+zg9dx7T3beK/vAp3zsXUnfxMSHc9b0E+sYufC3kpqXoXpv3/DrpPqLMhb9rY5YZVXZ3Oi68YMHeEX3IEDB8RByYTtUte8dv+Vllxm6vuku0AYt2BgO3nmVP5yFWGUYSzopBhbyDHovGVu5JT692kRU815j3Lo74edju61WeonRifRI7ZQtKLryLIR24dYk6IdC6dneYlKyubSZOuYMGCxTzwwLzGVSFR9DcbhPoJt6ysbI46yhfH9cwzCxk37kw/NXBZljnttHG88MLzaPUpEdxuN1u3bkEQBD7++ENiY+O4994Hueyyq3C7Xei6zvvvr2Tq1GksWLAYXdf5z3++8iv/ggsu5OWXl5Ca2pPExI4VlWkP3cZVN78vSksRKysiPq1WgTt3mXilyMCD/d2IQse50RtEeGWYk3Jv5/jIGz98D8He/kDe/xWUvXtQ94cvalHgFBgaq5Fh7ljrOEZxsulALWax7WFYqt5F7I93UXfsA3w3dDo/qq6AY9SDhUitpLZoD2mSiTvjopeZFktKUHs1MyI1Fblys98xsiy0lZqpkY8rA5MRt8UnH5VReCCw3ZpjGDwU77YtrR4jCAInnJjECScmccdtO1jxVnFYRlZs7HwEoW2jyWDYgiwHfpAGw+nUeWmJf9mGgYPA2L5cbs0REhJQS0uC7tN1nQ0/11BT46WqwsOFF6WRmBid221zeqXB4dLwjxdt+aC6ENyV1Jz1Dt70k1s9Xp46DelAAeLBwqD7NWs6huJvArYbP/0E45ov8Jz3p/Ar10Esfh4mXaKh7e8c0aZQ7NxhZ9sWG9YnHvXbfmZSD0xtjF1iXSFqcmC80jGGBNZ7a3BpPnGfaLkrx02h6uL4+vxWStJQpMrW+29rSCVFaPU5rm7fvxNN16l7/JGor9cRTOilsGiwkyExKrKgMyRGZdFgZ4fFW4Vi8uQprFmzmpkzp3HbbbPIze3X6vEnnTQWq9XCjTf+H1OnXoUgCFit/v6rM2bcjNVq5aabrmfmzGnMmDGFzMzeXH751YwZcww//PAt06dP4bHHHqZ37z6Ul5cxePBQ5sy5iZtvnk5lZQUnnujft8eOPZ3169dx/vnjO7wN2kO3W2A3vy/S0xEKN0Z0iqrDzO1mpvX2cnJS57jXCcBHZTLXZna8a6B4uBStZ3Qqbv+LSFnZKAX5GIa3LXet62BXBf6S0/GzhLk5vVh2MI6TDa1nzrVufATHyDuoPWM5CAIWTxXfe6o41ui/WqkWHULK6Bz3lXecJZxiSm77wBCIFeXoPZopWsb3RQkiYdugeNcahW4nx8clRrwyMmp0POnprccjyEOG4lr1EZYLJoR1zYfmDWTxwgNcd/Wv/P3+AeT2Cx1QLwh2dL3tBMyq2hdJOoCitO3a9J+vYOxp/u3gfO/fxN1ye5vnhovUIxWtvDxg+949dh64bw8nnJjEDTdGnzcuGH84Wwgvrkj1INnyEe2F6IY4XENuaPscwP7yUox/vhPrY/Ooe+rZgP1abF+kOn/VRmn3LixLFvkELLqY8jKdXzbo3HRrDZ6vv8F0/IldWv6GDbUMnX6TLzF1vWfIF1UVWCWJC1KCr5KKtXsxHvocT3agISoKAjmSlULVxRApemXTzyokpif0x9rgrizKPpEc1QNS5BMMYlGTcaXpOpLXS8z0m6KuX0cxoZfSocbU6NFHM3p0cGGnBQsWN/774YcfD9j//vufNv77b3+7r/HfgiAwa1bryZVlWWby5ClMnjwlYF9ubj9eeeXNgO2pqT05+eSxftumNkumraoqaWkZHPMbizvvXrnq5veFw4H5rfBefroOy4tlit0CLw9zdZphBb5VsElpXt4u6fj5DMFuh9i2P9q68SFn56CGKf3q1KDE3Tkrjj3rKqg6UMIel4OKFu41gruS2G9nYyj6CsfIO3wPUL0xMVyO49eWcuzUr1z17hzj6lJLOr3b8RGEpvk0thvQVSxbFgQclpdHm6tAb5SVUKVENklReMDJ448Gd/drjpw3CGXnzrCvazSKzLw5m7kP5fHPefuorvaiacHqrxLu61ZVs5Dl/LCOXfWxzh/PbfpbVxS8v0Sn6hYKMaUHWkWTceXxaDz+6D4e+cc+Hnw4r8MNK4DevcHhaP0YQ8l3JHx2EVLNbryZZ4SdPFbXNLxbN6MOG44yfARBl0sFAV00gur2/VlbQ+wdt2B7+jloIzlzZ7BrF8y5TUBKTUUrO9ylZQ8eEsOO7XasjzyElN/Uh3oYDJS34hZoKvgQd1boFb4743I5bLcSK0fvEdAvzsXXHv/JKSVllE+QJAqUkaNwTboc8MVzedb/iP3FJVHXr5vOZfPmTUybdg3XXjs1wF3xSPPbqk033bSX9HTEEC4sDXg1eKbAyJMFRi5PV+jdAXmLwsEqwftlBoo7+mO9HTFm/4vIObnorrbds7yaT0p/XEonGd1WK6fs+5HdTgdFHt9HHLqOac9y4r+8Blf/K/BmnBbgnxorytj1wDpZzh+P3Fw0ooPQdZ1rqje3fWAr2J5ssTpgiEEu3xBwnMfrs8Na40dbNcfERRZj+MlHZfyxFZXABkSrlfj7Hozo2gB9syw8/8IwTEaRFxYWoqr+H4yiWIqmhbe6rCh9EMXiNo/TdR2PFzIym54P9dDBDg++F0wmzPWiFj//VIOq6IwaHc+iJcPo3adzlPIMBjCFWGQU3JXEfnMzpn1vUztuGZ6s8AU3ALSqKsTEJABcU2/A9HbwyTh3v0sQPD7lWcsLC7Hf9ffGVY2upPCAjskEY44WEFN7opZF7hLbHvpmWThQ4ETL7I148GDj9h4GY6vGlbFoLd70sSH3JwkyTxUrmNvxFbq2Rke3+6+cOY66EyUljOTGQTB++TliTRVeTUMWBNSCfOTs6N2hu+lchg8fySuvvMnJJ596pKsSQLdx1c3vC4MBWpnVXlcjcdmvFjLMGrd0sEBBONyW5eax/I6LhwCofen1Dr3e7x0pszexN7WdSOf1EgMphs7LAK0nJTFp6yfESUZfYLiuY975IqKjhJqz/43SK7Sbw4nGRNwtJIc9P/+E2AkazQWqi3QxPHnfoCgKltde9t8WYjZD8UJFoAdaI/tcDrJMFqQIZ0O+/k8VJ58Snluj6+MP0ZrJ/UaCxSpxw419WflOCbfN3k5FuW+M0fV4nM7wXA3BjM12T5tHOR2w4Hn/dlAL8jtFNrrKms6Gn2sQ6xV+zjizR7sEK9rCaIJfAm1v5LL1CO4aXAOupO7EJ9FNSRFfWysv85Nh9548lmBqQ57MMxDdVRg/+wTHnD+jHHtk3I6SkqHBXhZjYhA6MJ4uHERRYPiIONTM3ohFTaI0KQYDFSHetYKnFiVhQKuueYIgkCVZcBP95NXHSiFl7hafsaoby5b5UV3PPf4i1Jx+6MCfe/sSzsvZ2VHXr5v/XbqNq27+J9B02Fon8laJzL+GOpnYS+mqvI9+jIrXsKsCexwdVLjXi6WTFOJ+z9S9sLDV/Q4V3jssc3la58jnAyCKFMX0IE4wUuWoxLLtOVyDpuAccQu0kah3sjWTGs3fB998TmQz+OHyq2JjpCG0bHWbyDKOMGOAtmyG1rRG1tVWc15y2ytQzSktdZOYKGMyhfe6i5l+U7uN1ImT0rnqmkxuumErb7xehCxvQtfDF3qwWpcBrS/hfbUGDviHBaErXgxDh0dR4+Boms7rrxZx69M+wZGjRsdjsXb+SrnJCJ981GTwSDW7Ee1FiK5KtPicVice2kTTMIxoWtnQevYi7vprAw0sXUNw1fpWq46Qd8C2LTovLYG0tKb3ReKzi1s5o3O4dkpvbCmZSIeaVq7SDCam9AqxSqp5sR/Xes49XfclFH7VURRVnao0LylGjcOeFv1atuDOmRDUYG6L2NtuBk3joMdFpdfbaZMV3fz+6Tauuvnd0XwlR9d9ghVPFhgZEqPx+EA3Se0Xs2oXd2S7qepA5UDn9TM67Fr/K5jP/iN6K9J0Lxw0cl2mF7mTR8isHBdDf3kUFXAODT9wukLzUqq5G//WdR17K9LS7WGTt7ZdxpW8YT2W+U8FbPf2OikgUWuPVGjN6+mClF6cnhhebE0DKSkG7n9wQNjHu9euwb7spYjKCMZRo+N59c2R1NYofL66Ly5X+IIgTudEIPTKuqrq9OwJWdn+44hh+CiMJ7aulBcu+/c5uObKX3E4VF649hDDB3ddrJHFKuB0AooL64Z/ELP+fkDH0+esdl9bSk/HfNYfmzYYjagDB2H8bJXfcWJBGbEL7kAZHp2LWUfwxGM6Ey7233Yk1Ot277ZTkZKN54w/NG4ziCJraoIr85oOfAxq667XdhWGWyS+8oSZf6EF33iqOCMmhhJP4LvU+usTPgXJCBFLS0CWyTSaGR0bj/WaqYjdaU66iYJu46qb3x3m15chlJWx1yFw9RYLP9eK3JbtOSIrVcHIteoousBmW/u7n7xxA9ZO+qj+PWP/10LUZi4uLTkqXuX8duRfaQvBWU7c1zPwDpR5I/sxLkxrXea2JbmShYPN5Ni1igrUSLSrI+AkYxID5ehXcsTiYvTkQMPC3f8y0AKNq/IQ8fpeTeP1w5HPcj/7TAEJEciDyzm5eLf8GnE5Qa8li0yb0Zdzz1vJvxaVoCgaTmfbblAm0xqMxnUh9//8E6z9KnBm3r32S3RX63LzbaHrOp9+UobJJPLI4wP5v2l90DasQ4sixUV7GJb4DQmfXYySPJTaccvQYjomzYCyZzdqCwl254yZWBY/1yhuIdRUE3vnbWgnJDSKWnQ1a79S6NsXMnv7v7isV1zd6sRQZzBkaCwldUakXf5iL1f1DIxBE9yVKMnDQA6tnAkQI8ETAz3ECRKH1chd9L/xVDHOnMT9/QLvj7fX8RgO/xDxNRv4tKqcPS4Hyt6ulb3v5vdDlxtXixYt4tJLL+Wiiy7i7bff7urif1esLJU59Scr8go49ScrK0u7XllfKqzGtHo3dQu/w7R6N1JhdZfXAfzb4tghM5lSkskD+0w82N/FsQnR59GIBNO+FSStPAEelUlaeQKmfStCHjs8VmWAVWt3YmGxNFCG3WT6kqSkqcBxJCVNxWT6sn2FREEkbXEkkLNyUPOD+5+9UmRgSIzWYca4f1scj2nPm1g3PYJz0FR6uo7mgMvAsgiNBkEQeNnRZByqRa0LGby3spQzT12HVX6fM09dx3srwzPEdF2nWvNiEKJ/VYglxWhpaYB/Px27KY13i/0/Env2BFuI/M47nHYu7xlewuUGXC6VG27si9QsG3hbY5bUpy9qYXh5psJDR5KKuHFWFsVFbiZfsYm1aypavSeKko0sF4S84scf6fzxvMAHVOrdNyKXxpZ1+MeDezh00EWfPmYyMs1kZPhWq8SUHmidKKTg10f+fSyWXx7BEmeh5ozX8WSP77ikg/gEOlqqauqxcagZmSSPGQayTPLooXhOHouSdlTUynPR8t5KnTNP1Th7nJ01X/r+bo7tiX+itSHa1F5avkNiY9ew5IWDeE84ye+4hw4EKnCa8j9AqmnbKNlSJ7KqXOKPplQ+dQc+W229xx6MG0C2bOGd0sCJE2/P4zGUhp6cCIrX2+j+uc1Rh0EQMJ95VtRjZ0fSUIes9DUdXodXX32J8ePPxu32GakzZ06jIEw13fby7rsrWLJkUdTnP/bYw1x33RV+2yZO/BNut5uHHrqPH374rr1VjJouNa7WrVvHL7/8wvLly1m2bBklJZ07QPyeWVkqc8N2C9vtEqoO2+0SN2y3dKmBJRVWY1xXiFjjAh3EGhfGdYVdbmC1bIsdDpkPKkxckKqQbek8QYLmmPatIP6rKchVW0FXkau2Ev/VlJBGRawMLxwysqayfb78vhxXTcHZJtOXxMc/gCzvA1RkeR/x8Q90qYEVaVscCRpyXbWkVoFJvbz0MHbMcxPYFtuI/8/1KD2PQ0k9Gj23P5KmcmpC5IH5yaKB8vqVH/VgaOPqvZWl3HTDVnZst6OqOju227nphq1hvaB1YLShfW4xYmkJas+0gH66zR3HtH29/cas4SMEZs0J/iE9r3BfxEIW7797mA/fb1oKC2fMEkQRdD2sxMDhIIqVaJpv5a5PXwsvLhvBksUHW70nqpqFJAU3rnRdZ/s2GDwkcF/dM4F5aUIR7Ll47pkDfPdNFUOG+buBij16oLamNNIOAvpI9Q5if3mIW6/PRzPEd3h59iWL0e3+Ou+mlSuwvPk6UtEhUFVEm43YRx5C2ONELv+lw+sQivdW6tx0g86O7T6X9t274KYbdD8DS+zRA7UT5diDvUPS0x9m1FHrMC9/1S+W6ZDHhdJCWMdY+CmePme3WU6aSWdskspZ5h6caerht6+t91iN5uWl+smlW4MIU/nylEU2QSK4Xbj/dCEAJR43qfn5vPP4d1GPnR1Fe8bvcFi9ehVnnHEWX3zxWYdcr6twuVxs3ryJrKwcNmxYf6SrE0CXLnV888035OXlcdNNN1FXV8cdd9zRlcX/rnjqQHAVnqcPGDs9c3cD8o7gM5nyjjLUPoldUgcI3RbPHDByURe1hXVT8I8a66YncOdODLrvmgwPU7ZaOC3ZiRjlxKx4uBTl6GOayrO+Frwe1tdwu8dFV0iERNMWXY2cnYPzvcCPpnv3mPi/3l6GxnbMamdbbWH44TtScjL42/4i3hwyLKJrjzLE86vXxjhTCoLZjGHI0KDHzX8qP+j2BU8XMH5C6/Lg//FUYRZEsolecls5+hi0vn15alfbY5bXq/P8Arj5Fv8OUe71ECNJWMTIJiNWf1rOP58c1Ph3uGOW9aprwe3ukJxGklSAqmY1/h0bK1NUFNx17y+37WDlO75Jx/vmltArTWXhcweYfWs2Uyb7XBXr6qC4CD76MB2LRaRHDyMbN9Ty5aclKNvHY7hqE0lJBp6cP4QnH9vPJZemcfddu/zKmTUnmwfu3R20Di8sOsiky/3dvaT0DPQoFRTbIlQf8f7nSUqtE0mPbLGyTdSKcsQU/7g961PB62B8eTXuB1p3b+tI5j8V3KBf8LTO+Am+PiGl9uzUXFeh3iFTr/8Q7R/xWIWXkeN9z9NDQ22YDFmozpuxWN7Bax+BPLaSuB5NYhZ2+xSMxo24XOdgtb6EJPlW6Q87RBR9MIn6aawXvqGXnEOi9V0ADIZNIevmdo/DpWtca/W5id6318Ssvh7/CTFBoO74CGPTnC68Rx8L+MabuP35LPws+CpwOGNnR9Ge8bstNmxYT0ZGby688GLmzv07557blJesrq6OefPmUlNTA8CcObcTGxvL7NkzWLDgBQoK9rNkySKeeWYh7733DmvXrkFRFGJjY3nooX+yevUqvv/+W9xuF4cOHeTKK6/h3HP/xKZNG3n66ceIj49HFCWGDvW991aseIPVqz9FEATOOOMsLrnkMh566D5qamqora3h0UefIj6+abLlyy9XM2bMMRx//En8+99vBU2KvHLl2yxfvgxVVbnzznvo3bsPy5e/yhdffIYkSYwceRQ33ngzS5Ysori4iKqqKkpLi5k161aOO+6EdrVtlxpXVVVVFBUVsXDhQg4ePMiMGTNYtWpVSEnXpCQrshz6ZZqa2g4Fqw7kSNRjV4gEi7scUpfVp642+AeCaHN3aZv8FtqC6h1BN8s1O0LWIRUYb4MvXHFcEW0ezkkXETN4MMQ3lBF8tluWC37TbdEVNC9bO3EMSm4mxmbbttWCaILTcjpQ6ritthiQzes1X3CBeUjEbXOqtRc/OKpITY3Dc/xo5PR0xCAyzbtDdJDdu+xtlrm++ABXJvYm1dKO+9YzCfr3YdfG4Ltb9tOZszVSU/2dKt4/UMCkrD4RtZHN5kWWJQYMaIr3Cjlm1fqPWe6TjkG3V2DuMyjo8ZGRABxPbGzT9UPdE5dL46NPGwQpEoFE/vGIz+hr2K4oOqLok8hu4Mw/ZHLjGXZqPygl7f4mQYt/PDKi/lz/XEAAZWVBtM4J8VxMuRpd1ztHfj1EH0lhB2LvWJKTO9bBxiYJ9ExvsVK8K0Q/3bgP+cwHiJHbkYogAnbvqgmxvWn8MvTPQrPZSO60sTT4O6RHj1q22ccyvGgspM4C4O1927giszfDU+OBaVD6Cdj/DynzusbzfPnKjqrPc39X4/ZHNsGTIyHFBBfpA/HqOkbxjPq9wdUgG95jsw7s5NmMEaTIRhJLwBNjJLXlfG5dhc/VLyNMZUl3DWCA1DhOrkrFuu4H9pYGF8IJZ+yMhDdeP8gbrzcpMUqSwDvvHcdDc3eGHCt27bRTUQEfvlfCN183xUNmZVt5esGIsMpdvfojrrrqcsaMGY7VaqaoaB9Go0xSkpUVK17l1FNP4YorriA/P5+77rqL5cuXc+edf+Gf/3yA8vJyFi9eTM+eCSiKi9deW4YoikydOpXi4v3ExZnxel28+OIS8vPzmT59OtdccwXPP/8UzzzzFDk5Odx7773ExJioqSnlP//5krfffhNBELj22ms555wzMJsNjBp1Mtdee21A3Vet+oC5c+fSr18/nnzyETTNQa9evZAkkdTUOMxmA0OGHMu0adNYu3YtS5Y8x6xZs/j66y9ZseItZFlm1qxZbNmynpgYE/HxMTz99BN8++23LF26lPPPb594TpcaV4mJieTm5mI0GsnNzcVkMlFZWUlKSnD1p6qq0CnaU1PjKCsL4ZzfhRypeuRarOx2BBqeeVaVsrI2Utt3EKZ4s8+9pgVanKlL2yTPamW7/ci2RVLiwKC++UrCIKpaaYtL4uHqLRbOMEe3emXasBl3zmBw+8pISsqqd6VoUQ8li6qqrrknSYmDfC4+LevQRlt0JsH6qW3hv4i7tWn1/K6tZu7OdVNW1nGupEnx/ZFrdgZsb2gL2RTPhuIqSrJiKTlcG5HbW55uII+elJXZcH71HaZTTw8abzMgz8qO7YGrDgPyYtrsp7/Yqpgj9aasLvr7JnsElDJb2P30uqs1Xn7N/4N61aFiHskeGNG48v67pZx0SoLfOaHGLF0UqNhchJbm+2BS3QLoIlIHPK+SBKraG2i6Vjj3xGgsQFGsaJq/9Pz8p3RmzibA0HFu3IreIz3sNorkuVDy9+P58Qesky4P69qREGq8qBIH8ebrdUy8tGMNOo9HCfh9SXmDkLcHGbPyBuFa+yjO4bM7NO4rFAPyYMf24Nsb6qwOGY3udHTaOzYpqQ+ynB+wXdOyyMqLo2bLTjwZuQAMEc3Yqh2UuevbxjoG4swQRt2KbRbUGidlAtRqCrfW7uBficPq6xD6PVZRWcthpxOtyk0ZbuIVA9tLNDK8LUQ+rMeAIIZVFwDDL1tRM3ujldk4y5JIzdYdDMgdyo49gW6H4YydkXDGHxI44w/+7tdlZTamzcjgrTcKg/bTvIExpKTANVPSuGZKWsC5bVFbW8tXX62lpOQwS5a8RHV1DUuWvIjHo1BV5WDLlm188813vPfeBwBUV1dTVmZj5MjjeOyxxzn66GORpBgqKux4PBo33XQzFouFgweLKC+vxWZz0bdvLmVlNmQ5FqfTRVmZjeLiEmJje1BWZmPAgCEcPFjI+vW/cvDgIa644ioAbDYbmzfvxOXykpzcK+D35OfvZ9euXcyd+xDgSxmxZMnLXH/9DFRVo6zMhsvlpX//IZSV2ejTZwC7d+9l48Zt5OUNobra9w4YNGgYGzduwe1206ePr64mUzx1deH3r1BGdpfGXI0ZM4avv/4aXdcpLS3F6XSSmNh17mO/F1wqyCHG+dl9uy4xrpYS3FVIGRRZHpr2MifEb+7KtlDicoNud4y8tdXzzBIsG+bEGaUXmnfMMX4vfZfrlOD1cFwZXQFR4Bh5W4jtrbdFVxM7u6me+U6BdJPe4TF6rhBukA1tofXsyXH5P9PX7KayleTXwRAEgcft+b5/WywhhQxmzckOun3m7Kyg2xvQdR1V15HbIWYBIO/wTTpE208VXWN+vyHEyZHNBZ54UlKA20yosck7Kh2p1Ibhp0LQdcSUFJwfvBtReaGQpEBXxHDuidc7ujFWq4GywzqTLg80rABMfzgHc33MSDhE8lxIfbMwnXJq2NeOhFDjRX7aLZR0QmhL4lOB6qqOOSHGrNm34u5/KYKra5QSQ8UbzpzdtF2QRDzrf+y0Ong8wfOkHTp4Ca8V5YHYNB4cG5dIvNTULy3bF0dkhDYcGi/KuHWNuvrcfaHeVw7HlWxWbAxvlhqil0mnNIgcO4JA3Jprw66LcdXHCA4Huq7zS10tUnoGM28LruLa1tjZkUQ7frfFZ599zPnnj+fJJ5/liSfms3jxy/z44zqqq33xp1lZ2UyadAULFizmgQfmcdZZ5wCwfPmrHHPM8ezYsZ0tWzazZ89u/vOfr5g792FuueUO9GYxeMHGqZSUFPLrxaS2b/e9G/r2zSI7O5f58xexYMFizj33fHJz+9dfI/D988EH73L99TfyxBPzeeKJ+Tz99EI++uh9vF7/d+j2+gmTTZt+ITe3H1lZ2WzbtgVFUdB1nY0bf6FPn6z6ctrVnAF0qXF1+umnM3jwYCZOnDqedtwAACAASURBVMiMGTP4+9//jnSEkvP9N7Os2MDduW4WDXYyJEZFAIbEqCwa7OyyeCuhwoHgUvEc2xstwQwC6CYZz3F9ujTeCmBCL4VFg53ESjqy4GuLJY61XdYW6Dqe7AuoPW0pStIwEGU0OZbasS+EFWNkEuGlQ9El3zL/u7nipo7RuI3a2ltRlFxARFH6UFt7T5fFWwG4cyfi6n85Snw/EGWUpGHUjv0XUm0r2WGPALV/vwutphpdB4MAc4NI+rYH886XcA+8xu+5UJKGUXva0sbnQuubhe3OuylzDCMuirHwOmsmTl3F/q/QSZHHT+jFs4uG0q+/FVkW6N3HzMWXpLXpr1+jK5xpiiynVABuN8YvPwd8/fTvuS6yzRqyAIOsKnN62wL6qcUCDnuTkbvdYefL6sg+blVVZ/lrRcTF+Rtkap9EvHk90MwyiAJagtk3ZuUk4x2ZgXdYGoLDi1TmwF1f7/YiCE7A/9423JPBQ2KRZYHBQ2J5dtFQv3siiiWYzZ/6nff6qxBKHdrx2svgDX9CKZw6NKKq1PylcyZH3LkTcQ68LqCPaAMnUlrSsZMdmt2O8+03AuswYSK1i5aiDPGpBSpDhlG7aCnuCRORy37GVPBeh9YjFOMnCEy/CdLSQZZ9oiXPLhIa460AhPgEzM3yTXUcOlbrUuz22dTW3lP/DpFQlFxqa+8hJvYc/jD9GLwjjmo8o1rxcrj+mZNqduMacFXYpd2Z4z/ejjMls6Y+55XbPc6vDppmpbb2Dtzucax1V3Kqscmtc0iMSh9zkOdEEBFUB2jhTVqJxYfQMjKoVRWyTRYs4y/iwovTmXJ9b9IzTG33kU4ion4aAR988B5nn31u499ms5lTTx3HwYM+IZDJk6ewZs1qZs6cxm23zSI3tx87dmzj889XMWPGLO688x7mzZtLWlo6FouFqVOv5pZbbiQlpQfl5aGVRe+55wEeeuheZs+eQWlpMQADBuRx9NHHcOONU5k69WoKCwtJTQ0xEeb18sUXn3HGGU1ue2lpafTvP4A1a77wO3br1s3cfPN03n57OTfeeDP9+vVn3LgzmTFjKtdffw3p6emMHXtatE3YKoLeUZJInUBry3L/q26BX1VKnJCoYmpmFl+7I46XBnVhW2gaxm8L8BzXF4y+j4YeiVYqtxajZR6ZhHt1Cty608zK0wyUldmQdu9CHZDX+QUrDizb/4Vz+M2Nm1JT47B/fi/e1KPxZpwW1mWcKvynSuLsHhHkL9E04idfRu2rbwFgNH6DLO/F4bimsR7V1WvwegMDPTubhE8vouYPb5LaK7mpf+g6hqI1eDO7ztBrIFg/rX14LubzLsAzZBRfVMqM79lxxrhc+gNKj6NAaorVCDVWWP/5MKeMu4fHBlUxPCYyP/4X7IXkYuSoGbNJfiXwo7GB3bvs7Nxp57op/SgqquGqyzbxxopRrcbQFKtuYgWJODF673Gx8ADW+U9S9+iTACwsNDAwRmPSQCslh20U/vIy2aOuhGZl3H2XxrTpAn2zfHXbbLdF3C5ut4bRKAT9fVJ+FVpqDD2yU4KP3boOXhXXA09gvnk6pEavWCcIdcTGPonNdk/IY0I9F6JYjtW6lLq6JtfVKydpvLJc8JOWb6p29DFR4bzHKq68hJTXOid9img/hBaT6VcPp1Nn9k06i5d2bcaYlm0h2g9h/WUedSfP75LyX3lRJyMTLr8yPuQ9qbn3byTc/1CHlmu1voqmxeByTWjc1rItrr7kZ966qgD3+IsAn3G102nnuLhE4tZOw370fWgxgbmvWlLphc8rZCalNY25paqb+2x7eD7RX5gnNTUOm+01dD0Ot/t0ilU3KaIBY/2KhkeDbXUio+ID3T+s6+fiyT4fpcfoNusUf+Ul1L72Nj/baviqppIZ637CevEkHrx/DxdNTOPU08J3ue3mf4ffhFtgN+1D0SDJoGNo8f6MN/g+zrsETUOo8+A5KavRsAIQDBJIR+5xipHgmUFNsRSG779F6OSkl4K7CrlyK85hswL2ubMuwJT/ftjXMovwUpGRsmDuDaHKr65CT2yYwVOxWP6NwzHJ7xhdj17lLVpE+yE0S08QW6zGCQKG0u8x73ixy+sUDDk7F09BAW+WGDrWsDr8E9YtC0AIzyhx/PlO0kwSfU2RJ+odaYhn96F9iD3TWj2uX38r557nmwk0GERGj4ln3Q+tp0w4pLqo0dvXLr4cV01ybxttEiPjfIOVJIAr7xqeKfRX5LviKoGE+sVvh6rySGFg7EVb3HX7DkpKgqziaDpaohk9phXREkEAo4wSqyNvyEf+tdg3+EZBS6XASNC0FESxsvHvgnydjN4ENawAqq65Iuj23zqGg58jVwbGO1ksArNv6VhfHfe6H6hbuCCiczRrBpI9dMLxjubksTB6TOvHKHt2tX5AhBiN3yOKxbhcrbuVJqWaKTM3iaM4NY23ykpA9SC6ysIyrAASZTi3RZL2XpKJG2OCKzu53WNR1V54dY23nMWNhhWAADi04M+J0uu48PNdmXzjUInXQ2+nEznH5+q/e5edvIFdpxjZze+DbuPqv4RDLoGp28yMiNUChA9ePw4sXeVdqegIbsXP77oB3XjkXDw314msrWoqXyw6iHSwsPMK1FTivr7JFzAbZLZYTczDOXRG2JcTBJiT5eGpgvCV6vwTCHux26+DAMlsGYPhp7Cv2REYCz7AnfWnoPscR92FsWgNcqQJHjsBKSubd6rj6MgU06KjhJj192E7eQGEKRseP/kykgwuFh2qiri8YYZYigv3I2VmtnrctClb0LQmJ4Urrspg+avFrZ5zWPPQW2qfFLlgs6H2bTIuqhWB5GY296g9T/D9YTvlzSYVvF6o90zhy5oKTk+MzDXR69UoLfGQnh5E4U3VEDzhzUTJR43Abq5AS43B+G0+Ql3kbqOyXICiRBsb0dAmvvu2+jOCJg4G0D2exuP+2zAVfoIanxN033ffdmxZ2uESxPgIvSsEAV0ygRJcabKjWfcDxHahqKog2DGb36OubjZNz1xwBg+JZd+TbzX+nSwbqPB6MRSvxROmlwbAV1US39cEjo+1msI6T+Ckj64nIkmHEPFyc4x/fzKIvu+jYHh7HY+SFCQhXBBqly4DoNTjps/uPXi+/84Xd6rqyHL3p3I3kdH9xPwX4FRh9k4z9+a6gwbdvVfky3be2Uj7KhHL6tBSY4PuFzwqQgip485mUIzGWSlNH01aWgZiUVGnlRez4QHcWeehpIaeYpSqtiFVBZF+CsFxCSolHoECZ3iztYLiRRkyFNCwWN5BUQIDkVU1FbN5Vdh16AjUhIF4Qrn+CSK2kxcQ8/NcRHvn3Z9wUPsP4p2M45mcEZmQROgLeoj7+kbqTngc3RR+3KFutnBBbCVVWuQuJ1ZBYveIQcROnxnyGIddRdf9PxD69LVw79z+Ic/RdJ1ljvbfH+9p43BPvBTwue/0s/ibsnpsOrfH/Og3qZCTC1n139ofV5ZxbnJkAjk/fFfNCScFb3+pqBYtJbxZaNOZZyMPG4GWHo/npGx0qxF5V+hYgmCIYimqGm2eBfB4jgd8K3DXToFTTwt+nHqwEKl3n6jLCYe4W+/osMTKzZFq9qDGB38WL+tgHR7t8GHEELEcrWE78anAlfhO4sw/gKGNogRJQlfav9ouCHZEsZLa2geBtif2Bg+JZYs9FVTfu9Ykinh1DePB1SEn1IKx2y4GeOAAHGtM4JgQScs9njE8VFfATiVQOW/l4eANphsTEF3lfomPg2K3Y3nO5/ZZ6nXTo7gYKTsHVdX5693BRS266aY1uo2r3zi6Dn/ZbebG3h5yrcEHiHPTIcvckfPvgYjldqRSG1pGK/EHioZY0TXS5y15osDIr80MTC0jA7G4cz7eTfv+DYoD94DW3/yerAtQ4yMbmO/I9lDgCq9bqtk5uM8fjyDU4XReFvQYXU9GEOw0fKB1NoKzHEGxgxzaHVE3xmM75Vl0QwyoXafo2JJl7nQuNx/2i19sF7pG3TFzUZMiy42k9exJVm0V2+uiWyWa+90evPtDu8798EM1x58QaGwcOODiyy+Cu87mq06yW7mH4WJ69x3EfXsB8OpwXwvREM2awUnqRorcAgfqJxXKy+HjD30qgdWKQroxshxDH39YxrnnB+Z1QteRCqrDd1/WNFwf+2SIkUUQBZTcFMTDdUh7wvhgAxyO61DV7PAr3wKP5xREsQ6nU2fx86FdApWCfKTs4Ks/HYVadAitomNdrcW6QtSY3iGluhY9p1NV1XEGnVpehpga5NloA8lRjPHgZx1Wj9ZY9HzbsXPGU05FdznbWZIOuBEEB+Fm5Rl9dAKn9HchNktiLOga9mP/gRYfXDE3GAfdIr2DfLMYBJGp1VtQ9GDfMyZOTHiTPDnQfVoAtBCPiZISRs4nUcR1tS9WeXZGNj2Li5GzsvlxXQ1e5b9zRbibI0u3cfUbp8gtMDJWZVxKaFeWjdWw8GAHJj5tidOLvLUUz9GhX4IAekLwHDJdwSGXSKapaRBUs3J8CWY6GtWNkjIc+7FhBBMLAgmfXxbWR1gDA2M0YiWd7WGsRMqbf0U+uI34+AdorSt7vUdjNK4Puw7tQTcl4O3ZdtJGLS4bqWY3htLvu6BWwck061yoBk+YGSli3UFM+StRk4dFfK7Wsxc51WWY5eg+XEvPPJ2N/XuH3P/N2kpOHpscsH3UUfH0728NuhqxyWtjpNx+3yTv0cei1X/0b7ZJbLP7P6daTAaio4iHB7hJNfrqYZBh00YdCYEX84LLQrfGVZMzyO0XuDolVDrRksM3GAVZRs5rYSjLIlpqDIgixq/zEapa/8C1Wl+mLVerVusg2BEEBxXlcP300MdJ6RmYxp4edTnhYDp5LGJCxwoWCV477gGhY8U8Higt6bjyjKPHIPf9f/bOO0xu6mz7P5WpO7O9d69xr3RMNQRMCSEJIYGXhGqwsTEY00kghtBDB9NLCIQQQguhBgIhgMGAMbYB97L29t6mj8r3x3jL7Gjqzhre9/N9XVyspSPpjHR0dJ5238mnaSr5MwlUHJu+jkSBqups2Ry/ne2kk0d8Lbv9GSSpAUWZkPAxmZkyKwI1iA2DgrdPlWVj2fr3GEdFotEvUGox/i5ONzlZEYgUU25VTEyyNiIKkWuhfLNOe9D4PRP8XZjr34vZH/Mn/8Xy4gsAPNy0E21HLVJ1NQccmMXEScaZOnuwB7Gwx7j6AWNVr0idT2Rueey0pQobNEbJOU4H5NougnuXgim2saI7zAiu7ycS0RkUyDMNMa7GT8B/UuKaL4nCtv5xVEdVwikiSs4kpM5vkrpGtU2j0hY/EqllZmGZ/PkuEovoz9/vP2yXd3L04fj8anRLTvyGgFKwH2r2eCxbnh/lXkXib00ys7JU9JamEafXyC2fI3oa8e+VmsBqcPZRyEWFuP3jUjp+wsKL2U+LHt058kd5TJxkTJbxwvNNrPgsssZhg+JihmnkxpXjt1cM/G0WdaY7wse1mlFOoOxHFFl0nm0y0ROE/Hxob4NnWxvpTlL7a913LpqajGujpIYe1CTZTD3PPIXaNiwVUBBQa3IJHFCOvKUdqbbT+GAUvN7EU6WMoKqFSFId116jx2RZ19rbkMqjG9jpgH/FZwS+Sq+TRvQ2Eyw6OOr+omIhrcaVYLEi5EQ6GhJB5vujTxjS1gaJBNaU7dvQupKv0eyH2bwcUWxHUZJ3Bh19089Qpg5Gg15q3IJ77K9iHBGJvZ0q9ijLiROtBbzhb43Y/kmgC3dgOibTmoh95VaNjihkUJo1D3Nd7NR4sakJrTRUt7qkrJqc+x9GdDj57VWbMJtHXzx6D/7vYY9x9QNFi19gQobGdGf84usiK7QFR+dRSrVdKBML0DMTSFkShNgsXKOM4UE1y8vJedNiQlOwrb0X75QLQUr8N/qrT8JSm5xGSq4J/txo4tPu2Mas/bk7keTtcanWNa0IVS0HRlf3S/B3I3qaw2i140GzFWGu+xem5jRXrseAT4WfFCrkmnSCq1aiDvHCJgvR3UjGqhtRs5NLBRwKragY0e1CJoNgKtm9wSCX+o01xNrbArjdatQ0oxCxRWT67NWOGiYapN8kDU0bIL+5o9YSGfiWbQhKKPozrzxIrU/EZhfweuGIrFyKkkwJnDgpg9lHRV8869nJpV6aJk9FWR/JZAeA1URw/wrUyuxQmmAwfK6WpFrs9peTup5BD5Ck17FawZ4RfZEn5hcgmEZ57g34UWuTZ26MBV2yxsyGKCqClnQKCVusKdPVgwjKSFPxYqOxAUpL4/dPKi9H96WWJSJJO7HZXsPluohUoqpvPLeN+ud2RYJ0nQtqH0BMcin5o9zo65pxcgZbFA/asIj6JDmDYnUOFstHEcdcUR1gksN48tScNUh9sTUWxcYGtJIQq+kZG9fievA+NE2nqdE/gvGSPlgsH5CTM5f8/B+RkzMXi+WDEZ1v1aqVnHjiMSxaNI9Fi+ZxwQXn8v77saN70fDbIQ40o+ssXXpN2LampkbmzDli4Nrz5p3N4sUL6e3tpaOjnTvvvC2p6y9dek2EeHAiWLHiU26++fqkj0sUe4yrHyA8Kixcb6UzKET17gyFKETPNx4RgmooBSaJySU4rRjU0a3/MsLZZcPcuoKAsu/+aTt/xsrr0ezFSct4KwX7Y2pL3tt7WnGQ+3aYY2YUyoe24fGfQ2IfSAVIE3FDFJjr/0Wg4rjkDhJEXIc+gP3rWxFdqRs5yeD6rRa2eUQEIcQYqNamKG6s+HB+shDXwfegm1PXQtItFjSHkwzZx3Zv8lOyIAg0q8bRmuwcmQMOjB6tKSu34vVqdHaEvz93uWvTuqjoVcApGQ/moUxxL7WY+KxbInu8j5fakwtZ6LrOeWd/Y8zs5VdQJhYm/f7Kk6cQjGZc9UMUUWvyQADTF3UIntC9HBlTYD8k2tt05hwXu9/+D99HsCRniCYLMb8Arb09beeTujchBGOTuIwbD3kj1LEeCmXThtSPzZ2C3Plt+jpjAFGEmfElmVBrt+N/71/xGxrAav0XfX1XkgiBhRHMY8pYnR/6tsrtX/GxuYbvvJEkE7GwNc48d42jBmUI+6Wu6ywPdJOpjyUYjKyh+qJH5MPOKIslQUA3OWOONbG5CbW4FL+mYdI0HIsvo7bWS/WY3S9lMhwWywdkZt6ILG9DEDRkeRuZmTeO2MDad9/9WLbsMZYte4y7717Gc8/9mc2bNyZ9nltuuSPpY6qrxwxc+7HHnmbSpMm88cZr5OXlc/nlVyd1rhtuuBVTPAaY7wF7jKsfGHQdLtto5eLKgLHqeBRcVJnedDyxzY1pTVPSkSixzYXgHd1F/HD0KiHNnOGw33FrWs5v2fp30DX8exmTRsSEIOLa/8ak6q4gFL06KFvlrXbjKJAgdKO+aEdRJyV0PkUZj9U6ssk4Hsw73sJfeUL8hsOgm5z0HXIfjs8uTfo+JYttHoGOoMA0Z8gBIFWNQdlRm9K5Mr66Ae/kC1CzUkvn64dutmD+bDk1NpW1riSP9XoRLFYKJTMtBgbWHbdtxxyHseNXp5Xwj1cHwwMuTWGuPQ0pZj4f7Io8fdMnMdVp7HQxN34IuwrYL6kMyREIxzXz4yRZAr/9xmVYawUgeIMIvuTnJdPkqQTXxTGuIOThkiWUiQWYVjUib2pDFFLXuBqKnTvtHHNs9IGh6zr+jz4c8XXiQcwvQO1In3FlrnsbhNjew5qxkE6eDt/bb6R8rJK/D3LH6vR1xgBFxXDQQfHbifkFqG2RqXOxoWO1voXbfT6alp9S/wAm7WVm+x1/BcBS+zo7S4+lPVbO6jB0BiHfFHueHyvbedEb7lz5uS0kO6Io1UhSuENsb2fsLB9/9U8RvNHvl+/0M9ELCmgN+pmyYyd9d97KN2v6mDFjN3LiR4Hd/lxS21O7hp2f/vRk/vOf91FVldtuu5FLL13E3Lln8PjjDwNw883X88c/3sylly7irLNOY+PGkKPipJNCtYhbt27hoovms2jRPH73uytwuRL7mOm6TmtrC5mZTpqaGpk372wAli//mPPOO5PzzjuT22+/GU3TDLedcspP8Pv9bNu2hSVLLmTx4oXMnXsG33wTSh/9xS9O5NJLF3HffXdRW7ud+fPPYfHihfzjHy8N9OHdd9/mvPPOZMGCudxyyw0oaWDi3GNc/cDwYJ2J6U6VI2KEzY3QFhDoTVPWl+AJIK9rITijJH7jYdDyM0Ddvew6ZiGS4hlAdzgQ+npHdG6xrxbLtpdx7/+HlM+hm7OwbEs+RXFeeYAnG0yGUUlZ3olQkMwYMWOxfAhpVXUKR6DqRHRram5mLXMsvbP/hNi3bVQNrDt3WLiienAhII+pQUtBbFrs24Fnn98mH6kzgtWK+Z036dRa8GrJaSnpqkrGWecyQ85kzTDPrK7rfLOmF4cjdprmUUfn8eszygaILd71t/OuPw2LaFHEfdXvAFjdJzIzyuJH6lqH4AtdL8+sc0CWwkffZjPOkpxw59tvtnL8j40NMrHXn1hq8/DjCgvJuiEB8ppd0DOtBA6pQjdLCJ8Voiip07D3Y8rUMeTkRGc+1To7EVOsI0oGUlFRXD21ZGBq+Yxg0ayYbTQNYhBhJgXN7UawpS4GGyw8ACU3Aea5EWDbFuhLQJFBLChES9K4EgQ3gUDsFPJEMGFaDus7QyQPcudalLy9aU8iLWujW+LL3thGdZYg8zNr0cC/X/A2s1UJ1Q1rWl6EcdgaELh1e/TIrb/qJwiGDIQhyJs2gCjSEghQ1dKCXF1Dbq6JAw1YVkcDFsu/ycy8Zsh/oXnTbv8zklRreIwk1e5K8Xw+7FiH476U+pCbm0tPTzetrS1MmTKNu+9exkMPPRFmhBQXl3D33cv4xS9O5Z//fCXs+Ntvv4lLL72KZcseY9asQ3juuT9HvVZt7XYWLZrHWWedxv/8z8mUlZVz3HEnDuxXFIV77vkjd9xxL0888QyFhYW0trYabuvH9u3bWLRoCffd9xCnnvpr3trF9Nra2sLSpTexePFlPPHEw5x33nzuu+8hpu6qG+zp6ebJJx/l/vsf5uGHn8ThcPDaayNN506Uf3MPdhsqrTo/KUjeSjowS8WeDlNZ1TCtbCC4b1lcAgtDaDryxjaCB4yu5spQrHWJqLpAlS188aaVlCE2NaE6U0vZEnwd6CYnvUf+Kak6ouHQHBX4M5JflGRI8MQUL5pOmHC0LG9C1wX6lixL6nzB4GRk+TtDPayRQm5bSTCG5ldCMGUgN3xLwF4G8sjEa42wzSNgE3XGZwx+ZE0TJyFPSL5eytS8PGUCiwhIEqgqE+waouAHEk9x0FpbEPPymW3JpUsLX+Bs2exhr/Hx66YkSeCVF5s59IhcSkosrA72cbotecdKxHl31CI2NaBOmsxZpUHMUeYnLaMUyd2IYgtV8s/K6eSNMXY8HgFnEo7jr7/q5fKrIumghV4fYrsbtTL5hZIgCLiefAzHpVcmniYpCKjVuQTGjkNo1RGCfWjFqXnAv/pSx+3+NYfPjj65qzu2I48yDTuAmJ2D9eg0MeYpvlC0Mg7dv8UihIlfjwRaW2oaV/3QrXlIDR+gFMVnQ00VwWBihBZiTg5ad+KEFmbzfzGZ1uN2x6CcTBA2u8SB2c2g6/T86Hny3B6+8yQecq/3CZRZYjv5BEHgSXc9R1lyORIn7/nbOd4amqd1PZuMjEdwu+fTnxJfYNZpjUJoEYIe0lOLkmUQOHpO6DwmM1kdXUizJiNqAhWVuyct0O8/Gr//6IjtHs9ZWCwfIcuRHgZVrUZVK/F6K/F6R/4tam5upqCgkMzMTNav/45Vq1aSkZFBIDD4XRk3LsQsWVhYNBAZ6seOHdu5667bdvVNoaIietS+Py3Q7/dx5ZWXkpubhywPrrF6erpxOp3k7HIanXPO+XR0tEdsG4r8/EKefvoJLBYLHo+HjIzQty8rK5usrNDcv337NiZNCpG4TJs2kx07amlsbGDMmBrs9lD7GTP24csvVyR59yKxJ3L1A4Giwb07zJxUqCRbFgDAdy4xrjcoEQiuAMr4fHRHivn7FhkhMLrECcOxtk/Ca+AU10pKEBsbUj6v6G0NETTIqXs7ARBEMr74LWJf8rTfOTI8UDc0NVPHbv8zeqsJ87vJiQP7/YdhsXycdB8SgeqoRLeM3HseqP4p1i1/xdQUWbQ8UuSZdG4bFxkZct2TeM646KojY+X1IfrodBY6CwIFZjNbkqyXF7OzEfPzGSvb6dXD37uP/tvJ4Uck9kx+eVoJjQ2hAvktqodxaSCzUKvHEDwwxAT3SL05unFlD9Gx9+PATAdHrjLx1sbEP0+apnPZlTWIYuQzkRp7k2YJHArHkisGRFMTh4rJ/C16nh2tyIFpdSNSXXfSUdmKSph9VCsWS/R3Xe/rQ540Jcn+pYbAFyNfdABI7noCCYrOPvdseowrva8XOcaCLxEo+XunpS/R8NQT8TWuAARRJOfhJxI6pyRtx2p9G7d77ki7N4A5JU2o372M1LeNCbYM9nck/n41+sWoNOxDcaA5izd9bSi6hltXyRrG0CvLWwb+NougaDHum2QBLQCawXvsdmP967MAdClBMhrqkavHjIqSSyrweIz1NKNtT+0abl5//VWOOupo3nrrDRwOJ0uX3sRpp/0Gv983kNUQa2xWVlZx7bV/YNmyx1iw4GJmzTok7nUtFitLl97I008/zubNmwa25+Tk4nK56O0NUfLfe+8dtLQ0R2xbt26wBvK+++5g7tz5XHvtDYwdu9dAn0Vx8DtSWVnNt9+uBWDDhlC6d0lJGbW12/F6Qx/f1atXUVEx8oyDPZGrHwBcCqzqk1icZN2UxfLBrrzbHcypruLj5jOBI1Luh9jQg+60JOVltWx7Cfuau6B7AznZE/HMuAxd2C+MJWy0Ue8XOSwnctL0/ep/4kvdR0HGl9fhKTn+GQAAIABJREFUnXAuWmZ6PMLB0iOx7Hgd79RFSR0nCLCwIsBn3RKzslVMppUhj1XuRNSzk4u4qOpYdD39ESFUP7Z1j+DZ9/dpOZ1v7Klk/ft/6HNUoTlHthh6tUXm3p1mNnmg0JTB9WP9/Lwo3AixnXJqYidTvDg/WUTfwXcn1Yeh72lOThUez6/x+48Ka6MVFVMom1gRVCIilbHg/+hDTLuIW7KF8LGen2/moIMTj9Y8+tBObrptPLoMUhoMR8trr6DWjMW/934sqYo+t6lZeyH4B73w9zTUUp5XTWe3ACS2sH7t1RYOOthYAkBsc6OMTz1i4f378wh2O7aTfp7EUSI+3/GhPwWB4LRi5I1tmD/bSXB6CbrDjFTXjbyhDVevD0umFWViAWrF4PPyenWuuFTnz88VEwxGjwqb9t0fwT5CB1CCkIqK03IeXZDw7TVIbR7vXuh6YkZHLMhTp2OaNiPq/qFzxXi7nUsqAxFzhdS1DhQval76o/8D14hzL/rhfvQhnHGK/wWhD4fjfnp7ryOZiHg8NB3xUxzmMqScyWRpKt+4E08LbPALhgLCEe1UH4946rj321pyBBOvelsG6q78/sMwmz9GURKvdzW1fYXqHIM6TFRYam5E6ArJKeTKJiwnnEiTkoPbFUpDTPR5jBb8/qPo7Q3VWElSqI7T6BuSLL76aiWLFs1DkiRUVWXu3PlUVlajKCrXX/9b1q5djdVqpby8gvb2trjnu+yya7jppt+jaaFne/XV1yV0XG5uHhdeeAl33HELS5feBIQMoksvvYorrrgEURQZP34CkyZNMdzWjzlzjufqqy8jNzeXgoJCenoiJUYuu+xqli69hueff5bs7GzMZgvZ2dmce+58Lr54PoIgUl5ewQUXJLdOM4KgGylIjhJeeeUVXn31VQD8fj/r169n+fLlZGYap221tUVPPi4ocMbcv7sw0n7oOlyw3sqZJUEOMTAQoqGfQWY4enuvS+mlE3p8IfIKSUjYI2/Z9hKZH54bsb1v3D/xTz8IPWsUFvIGmPedlbsn+HDI4c9D2roZefXX+H+RnAaHZfNzyN0bU66zMhwTio/MD35N75zkc3k1HU5da+PxyW6q8q+kt/d6TO8tR+jqwv/L6CQbRv0QhG4EQUXT0kfBZa57F6l7I95pFyXUh0Qg9m7HuXwxPcf8LeXI4astMvPXR6Z1PDrJG7Zo6lp4Plk33x67bkXXcX68AF/NLwiWH5NwHxJ+T1UVFbh6q51FFQGqbIlNy91LFuG8+lqkomJe8TZzqDmXQslMMKjxxYpuDjks/DfFeh7vv9fO+g0u5iwoYHwaIlcZN12P7+Rf8t+S6azuE1lUObgAC+uHroHiAZODXkXBJAp88KbIFq+I8xCZc8viL9x8PhWTSUQazmwTVJHXt6JMj0xzTHRsBlavwvfOm2RefV3ctv0wmb5AEAIEAoeGbRf6/Ji+aUYtcmD+OrKOKnBgxcDC7V9v69TXw9zzBTIzr6a315ii2PP357EcdQxSfuokBYnei45f/5Lcv/x9xIaOZdtL+Kt/DqKEVNeN+fO6iDb99+KSRRq/v0EgN29k1/R9+AGiPQPzAZFpfYnOFeadbyO66vBNnjeivhjB79d59vpuLto3kjV16LjoRyLRBFn+DpBQlNSkIqKNi5Z336Vj47+ZfNEfUXWdzV43E+2Jie2qeihlKtYQetXbwvyeSCKZR7Om7DKwNLKyrqKnZzDrYEW3xEHZ0ddQ5p1vIbrqI56d6eP/In+zFu/Ci/hzSwM//WQ5/+FwVFXn1Fm2mGNzD/agoMA4GLFb0wJPPvlknn32WZ599lmmTJnCtddeG9Ww+v8F9+80s3+mmpRhBellkBHcAUyrGwE9qVQn+5q7DLdb2/6A7tx9eldFFh2jmn21Zq+kDSu57SssO97Ave/SNPWu/8RWdHM2gid50RZRgEUVAR6rV/F6f4muOxAbG9FTqCUTxV4EIb1OCfOO1/FXnRi/YRLQMsfgmb4E66ZnUz7HvTuNx+B9w7ZLVdVxGQNNLZ+iZE9IyrCCxN9Ty0sv4Gmsp1PtYLMn8WlZbWtF3FWk0a0rfB0MEbioqk52dnKe6tlH5fH6B630poEpCUBsaUYrKmZ1n8iMKEyBAEKgB8v2fwDwaHMda1x9FBSA2KzxVrtMTxzbaucOL/fcWRtpWAGoGsq0kUVb5PETUTYmR1Esy5vR9ciPru60EDi4CnmrMYmKvGHQ0/vOWzrHD5BvmgFjshPTpMkjMqySgWDPQHcnR7sdcQ5/F5qtEMRQ3tXQ3zwU/duLiqG5aUSXBMA0aQqmGTMN9yU6Vyj5e2Pq+HrknTFAcxP8YlLsezEU3YsXondFE7AGi+UdNK0wZcMqJnpW8be1s4FQlPuD7uj9GI57dpjjLjPuddcabr/P3Z9aL+LzHQMMRsTbAgJdMeaKYOGBmNq+iNguNjUOaFy929WOfeY+fLOmj+kzMuOOzT3Yg2j4XtICv/nmG7Zs2cLSpbEXsDk5dmQ5euJrNItxdyPVfrzTDE06PDETBCHZKI9x/Y4s70iqP3pQxffZTixzJiAmy6bVbawZIvU1kN3lwzSxyHB/unFzJuRZBj+CA79fVeGcc+CZZxI/2ZfPws+eocA2Mq+U4TM48nqs9mywJz9eTinQ6Nn+Ci7zbyjLAtzdMOEgiPOsI/sxBXgdSFNai6ZCoAnb2OgsWim/pwUngeLHuf1fMO6kpA/f5Im2XQrrkzRtEmJXC9nR+tmwAsbMhKnH4kjaY5/ge3raL8gUBBYEslnXK5Fo3X2fLFJYFKp3mO0p4q2+Vn5T4OSvf6njyB8VUFAQ+U7Heh6nnlBBUUcGBTPTMLe6erBOqGLT5wJLqiF72Pp1sB9OMM2CAiert7i4deY0lHI45DA4zC/wZKuTW2MM1+eebeHoOcWGvyu4sRW5JBvBSPuKRMemE7cWTHIcNwKnAsbHuPqMDSWxz09BgZNAQKe728OMmf0RxLEUFHQC4yOO2XbXrZS++WYSfTNGIr/PX1FKtu7FUjACwpMN/wKtc2DucvUai+H234vb79SR5dgRmkRQf8M1FFx2GZbySEM00bkCnPB5B9ZRWHvk5el4vvIbZsL234uhCFaUkqV6sBZUG5xtPXASMHLtM6NxkWdfTmP9fgP7vtjWx9IE78l1OeCQY/drU7PxA9mkuIf05zhCvzPEgHiiE3LMYIrqm3LC11LksyvJh5oaKHCSt6ITW/tm6uomcdCsIrzfGlNVGj2PPdiDofhejKtHH32UCy+8MG67rq4oMx7/+9MCPSoUBQWur9BJRZcxJ6fKkEFGUaro6kqwP7qO6ct61JocXP4gtCWnA5OTPRG5KzJ0rzmcdOfaYDc8H12HpxpMzC0P9X3488hsbqU3kX5oQcw73yaw/73gAlyp9z3qmNDLsX3+YNJ1VyEEqOE4Pqz1MCdfxbF9Jx6TAy2F1FmHYw1e75i0aPAIvg5MNWcRiNKPEb+nuo6kl6A2tSXNIDjebme9O9I5M96u0tY2OLf4c0sIfP4pwSMN+qkGEH1WNAHwJilCReLvqeW1N8Hn47apezPWNJO23MQo2bXSioH7W6KLfNnTQZvYxzNP72D2UZm0DXun4z2Pr37Zxc/UvLTMrba9D8Db7qLNbSPY42WorzfiPf33Vaw+/BlKRBOd7S58Pp0nH4MLLxa4q83GN/U+iqMUwb/zVjOn/GpaZJ/9CoKuo3cZR1qSGZums86jtbU34QV+ZmYHvb0yYHx+S6YVsSfSqNCcFtra+tA0ndvuHEyNt1iKgfX4/eFGje73E9TFET+vhFMkM7Jo31SL2Zl6DZtjw1t4pi8ZmLvi3YuVX+h4vXDYESMzrtw7GzAJNkSD35noXAFgz9kXT2sPCOlN/Fn+scZhgoxFj4wc99+LofDbs2jfuB1LQTgzryRtISPjSXp7b2RoZCcVGI0L0d1AhpSN2tw28E4EAkpC48elwJKNVh6fYmxQ92O8bGe9EvnejpczhlxH3VUvFPr3+x0SDomYqYEc9Ai0dIWx/4pjJqIVlUBbH7lbttHj8lJQMI3OTlfcsbkHe/CDSAsE6O3tZdu2bRyUiFLe/2H8vdlEtqxjTZGRJi0MMjqoY3LRilLzwHhmXGa8fdpirO99mtI5k4VbhcOTTKk0hKagZo9C+sRQCALeCWencKCXrKxrmeowU27V2eYRCB5wEFoinL0G8PsPx2JJDxuf3L6KQGUatJ6iQRBQsyeQ+eE5iL3b47cfgkuiEMQMJ44xTZ2G7Sc/jWyoeMj696/QbYVgSq0GKdH3VCssQmxtxSwGDBkNjaArCs7fDkb/bYJEuWSlr0/BahUxRXfhGkLTdTq1IP/8RyvpKMUNHHt8qKa0PLEF3pudbQPCwVarwIUXhxbTN+3lwyoa96elxU9WlozFQChZauhB9KRHXF3MykbdtiV+w10IBA6IuV+ZaGyc9G9/5k9gHhLpCwQOIBiMZARU63ciVY6c2SpRZMy/ENN049S6RCH11aI5qwf+He1e6CYJvEH23R/2TwP7ue71IGYYv8eJzhUA3onnhRGwjBhBFdPqRg4p6YL9jFNYje6RWFAQoXUlCD04HA/S13cVo+U71+wluA6/lzFSG22toftjE0U8CTBqJsoUeElGteH2xRlDHYISsrwFUQyJDQd1IW5Ktbn+3QiHsGnlF6CqKLrGXi2tqKU1LL0xRJShjDNOt402ZvdgD/qx242rL7/8koMPPnh3X/YHA02Hu2vNnFkaNKwTShQhBpnrUJQaQERRaljb8nva3AmSWQRVpK0daAWpF677a06hd/ZTKJl7gSij5Eyld/ZT+MefgWbPRW5ahan+vZTPnwi+c0u82R7jRsomCMReYFk3PYNtw5Oo2ZEpN+mGuXk5li3PJ3WM3f4iXu9JgECuSSdLBq2sHCyppXwEg9MxmdamdOxw6NZ8EEY5AC4IuA66HefyiyGYePRIEODu8V4mZ6jIAkzOUCMK1AFEhwPfcFp7Xce5fDGeqYvRTamnf/j9R+Hx/BxVzQcEFKXGkHRGKyxEbG0BAe6qTaxWSuvowP9eeL+vdtTw3086mHVI8mmtW1UPe8l2fnlqMcs/HuHiUdeRNm1gvVskU46/mNJNTk7PcnBo5iDj3/y5oTqtKpvOiy0mug0C67oOCxcZGxdSUx9qivpSEeeqrEZMkClPEFwEg7HFWtWKbAIHVqA5QhaUlmUdKJJXVZ1fnQY5OYORGl3PxGL5JOI8yo5apKrqxH/ICKFsWIf/k9QdM4K3FSVnUtg2tSKbwL6l6BYJRGHgXgRnlmBeWU/fyg5uWjp64ucAPy9SWDbBi1PSkQWYmKEywa5yQFakwSB6mhG9yQn4RoPY0IP50x2oxU6ueTSHOnHXuMiyggCaTY5KnmDeb3/kvYZ+s1Sczj/idi9E10ePbMG+5i50Ww53TviYgsLQ+J1od9Cnxq/VbPALlCXAFPhzWxGPZk1hsuxARmCy7BhCZjEIXc8acBQWmTVaYmpdQaDsaHQpPANCy80b+Jb+2OVhh1jGyi+6Ebq8IDL4PIaMzT1kFnsQD7s9LXD79u2Ul5fv7sv+YHDPDjO5Jj1hquVY8PuPQpLqkOUX6Opy8fxOM4fnKOyXFUegzxVAcAdQo3hlkupDzSkIvg6cR1xO15AwuZafjwbYGl/BuuVvuA+4Gc2eHhrfoWiII0joP/kUhIAf3WxcsCy3foG5/j16j4yuJp5OBAv3x7l8ccICtILQjcn0LR7PGQAUW3SebDCxn+IkOqlwPEgEg5MQBDe6nrpxLXesCemA5adR7ykKNEclnplX4Fx+MX1HPBmXeEXV4dBslTyTzm9KlV3pLdHTjO2/OSvs37ZvH0DJm0Gw7MgR910Ue+jqepT8/Lvp6rrJsI1WWITY1oJDkjitxIdPleJHtXUN88HhbHQrgz3Udfs49sjkPatrgn1MNzmxmiXuv7eWgw/NMdSNSgRCdxdaUQmVVg0lgSCY11bCfxvWcvL4wfvtG5KNc15ZkFqfQLYp/GTvvdPOGWcbCHQH1BATTCpC6AYQZAnPs3/GsSCRlF4FQYgvWKZWZKMWO8l2BenOGVzwrfwSln8Ml14xtLWEzxcZITbvfyDmvUco3p0EzPsdMKKopm7Own1gJOuhWpWLWp1LQWFmWLpV4NBqnBs7+ElRIzAyYfp4tOWVNp2FFQFu299CW5uHtkBIdNyjgn3IMFKzJ2Kufxd1mJGYFHQdscWF2OUlcGg1SCItLRpFxaDK2agV2aE5a2cnQpT7LeblE2xdP2SLisfz66ToyZOG4sEzZQEIImvN49nwdjvHnVDA4tIqEpkpGnwiZQlEriBkYP3cVhQzZTUQ2JfMzNfwen9FsVmn2R+nF4KI4/Or6Tn21YFNtkeWETx8Ng1+P62CjrmghAMmOzCtqicwqxLM8uDz2JMKuAcJYrdHrs477zzOPvvs3X3ZHwTeaZdo9AucXZpcbVN0BPB6TwGWAiqlVo0Gf5xHqmiYvqpHd6SHzU90NyJ3rInYrmVZEdwC7gNuwjPtEpwfX4B5FyNYOtHgFymzRp+slWnTEVzG0Q7R00zGV3+g75AH0p4/Hw26JRfUQMIRGJvt1V0pZIMfjRPzgtzpLk9WjzQMHs9ZCELyNURDYdn2yqgYzNEQLDmcYOmRYYKz0fCHrRaaA0LC5Jd9t9+MHtz1XmpBBNWLd0r8utD4UBGEILqeS6i43DjlT3c48Vx8GWcVlvFCs5mvEhAE9739JsE14cxlB5qzKZ9ppWZs8vT1JaKFWeZsJEng0MNy+ejDxBnAhkPatAnzpx/zwE5z2MI0GvqmLODkmvDcL0kCRemnm4aH6sys6g1/T0840diIFDs9qKXpY6IVsrLxf/SfhNrKci2alqCgtkmKIBJ6+02d438c2dRufwoIj6R4X30ZPZCu70l8KNu20nv9tSkfb938FwR/pP6M0O1FbDWojRMEhIn5PPxVKWK7G7E1tTlLDwQIfvdtzDZf9EphkaoCs84Gt8gm97BvgyhhW/94Sv1A00HXkTe0oRU7UaYWgxQ6v6KALIdPWIKqhzxFRjCZEfNCkhqi2IbF8j6KMjm1fiUI69YXsex8G4Dqx65n6pSQc+7jni62+KI7r/qxT6bKvplpSOMfgDnEnit2UGDWKYlnuAkCumwf/P4Gg6HsFsAqiow5dx733t+EfXUjwZmlYP5hSMFKdd1Y3tuM9eVvsLy3OSRIPkI8++zTLF68kCVLLuTSSxexYcP6+AfFwObNG/nTnxJ7L5588lFOO+1kFi2ax0UXzeeCC85l1aqVI7r+Dw273bj6/xUdAYE/NZi5ZZw/GbbzmDCZ1mG1/hOwIYrtlFl0GmJ5bnQd01f1KJMKQ5pWaYDc+jlKUWT9nJZrQ88O6YaoedPoOeZlgkWzsGx9wfDjmiriRa5iWSBy6+e4Zt2Fbtm9If5AxRzMCaRLCoIHj+fXBIPhMariQA8zt37FfzpH4pVXMZnWpX64riN3rEbJG1n9RbLwjT8Dqa8WuTWSUrcf9T6BWp/AVEcSqUSahlq3E8HXgWXr3/HMvCopWYLo0OntvWHX32cSVRRXEDB/+AF2SaLIEmBjAnTsamMDUml4FoCu6jy4emdKPfWjUb4rZeZX/1PCC8+nzn8ttjShFpewxiVhTuArc8eGT9Cblodty82DjiGM5ZdXBbh7h2XglX715WbWrzNebGt5dtQqY1HhVCDsEkRPJGpjsbxPouLHEGJsHfhb19mwDiYaBkUEJCncsWA/42zEwtRqL1OBmJsbUeeTMDSVYMH+xvOtWUbLi+4Q0BHQ8jPQCjIwfd2I2Nib3LVlGduPfxKzyapekX2GLfz3y9LIMek8UR+eqhtaoCdHSS90eDB/sh3BHUCZlNgz0x1mhB4fQmek4SLYbPg/fB9Z3owotuH3H59Uf1KBue5fBCqOBcDy8t+55pKQwbqvM5NsOX4681aPSI5p5PWcQ+Hz/RhB6MIkwi+L4jsagvn7YmpfBYDY2oK2K9339c5Wtr3+T07YC9QxObtNpzMe+nXgxB4fgg5ijw/z53UjMrC2b9/G8uUfce+9D3LPPQ+yYMFF3Hprarqe/Rg3bgLnnHN+wu1PO+10li17jAceeJSrr76OZcvuGdH1f2jYY1ztBvQq4NPgmWleDOquU4Yk1aGq5UAJktRCmUWjwRf9AtLmDrRcO1phYmJ/icDUsoJgoQE5iUVG8A6Z6EQJ3V60K+fZjP2rG5Oqn4mGS6oCMdMMdLMFaVOkRo113aMEyo5GzZ4w4j4kC3/VT9Ec8YvQZfk7JClygSu2tLC4YwUP1pnRUv5OmdG0PAQhteiE1LUuVDuRLk9BEggW7IeSMxnRFSm2CXBXrZnLq5IjMpCqqlG3bwBdxV/9s3R0EwCL5d+IYv89jlwcD4X3rHMpNluY7iAhrSu1vg5pWIr1hq/dWKeLKaVuZQuDi6PiYgulpRb8/tRqXaSWZjqKKshOoN6qLRigIWsKQvnRYdt//BOBoUocRRadyRkq/+kKbXzrjTamTjeoqdJ1pNo0Eg7sglRWgdpgPOaGQhTb0LQk0jIDCmih+/zNWpg2w5h2XFUrkaRwav/uBeeNmKI8GQhZ2Wg9qS3q5I7VA3pmEfs2tSEEotfsnHn2rt8oCASnFSN2eDCt2AmexKJ2yqaN+N55K2abiysDZBj4qyqtOmv6JD4Y4sxS8qYhd8aOhA0gqGL6ugF5eyeBAyvRHZG1spqmD/7G4fvy7JjWRxq0giCgrHqPjIyHUFWD1Ng0Qwj0hCI/5lBEOHD0sZjMIn6/xnqPi5fbm+OeY6pTxZzm4RoM7o0ohtYSn3bHdzgqRQdhalkBgNjYMKBx1dHTg16wLxt0G1p5Vno7OQKMhtZWTk4uLS3NvPnma7S1tTJu3AQefzxUGrF16xYuumg+ixbN43e/uwKXy8WqVSs5//yzWLjwPN55502WL/+Yc8/9NRddNJ/f/vYKnnzyUVatWsnSpdcA8O67b3PeeWeyYMFcbrnlBpQ42om9vT3YbCHnygcf/Jv5889hwYK5PPzwA0Ao0rVkyYVccMG51NZu56WX/sb8+edwwQXn8uKLfwPgj3+8mUWL5rFo0TyOOeYw3n77jZTvTzqwx7jaDehRBNoCQloNKwBJahgwrkSxmSqbzjVjojCN+RTUqmzUvfLS2wlBQM3ay3CXlh2peK9b80C2EyyaRdZ7p2LeGfuDFw9/aTIRRcIm1D2/H/N7/wrbJnVvxDf+rJQZ4EYK3ZaP1L0BlOh0tJJUi65nGtKli60tOPOyuGeCL6E892gQhC4slo9TOlb0d+Efe9oIrj4CSBbEQC/OjxcgBMNz4Ld5BAK6wLQYorVGkCuryd5xB3L3pjSOCwVFGYem9b9zFWha9DTKjNtvptvVR6vSTV0MJ0k/tN4ehKzwKMDTT9VTYrXQpCXGONiPHYqXlmHH/Pb3e9FQH5syORrE5ma+zqlhujN+CtC/utr5mV0kY2W47mFVFXiHlS4tqgzwQYeMy6WgRRFKFnr9o1Jwbpl9FHpvohGTxN9MtakXYZeRUFUN8y4wPlZVq8KMK13X0Xp7Er5OOiAIQsxsgFgwNX5IsGy28Xm9QXRb9MiHKEFf367ryiLKtGKUSYWYVzWAPz6Rglq/E90XfSzv8Ao0RUmpFwT443gfD9WZ2eYJPRslb29DGZIw6DqoGvLWDtSyLIL7lYPFOM2srQ2yoq3nbSa0TCtiy/B6H4WSy124XBei66NvDJjr3iFQMVj3Z/piBZOEOrZudpNnMtMejG/ovtJiGlV/XJVNj5pF2Y9g4f54J84FQJm5D555C0N/b9xIz/Ltxg6bUYa0sxvzJ7WD/y2vBUBe14IQRQdO6PUh9PqQN7SFHWv6uiHu9bKzs7nttrtZu3YN8+efw+mn/4JPPw2tBW6//SYuvfQqli17jFmzDuG550JGVyAQ4KGHnuCYY47j3nvv5M477+eBBx7FMoxYq6enmyeffJT773+Yhx9+EofDwWuvvRzRh7/97a8sWjSPxYsX8MILz3HVVb+jt7eHp556lPvuCx3b3t7Kl1+GDOGqqjE88shT6LrO+++/x0MPPcFDDz3Bxx9/yM6dtVx55e9Ytuwxjj76WA4/fDbHHWeQW70b8cNIKP0/jNu3mzkhX2FmZvrZjiSpcZfHKgdN24EkwCP1Zi6vjvTaS429qNU56Y00qAE8M66IWq8kdnjQRMEwBTFYfjQ9xQeTsfoOzDvexHXYgyl14bI4EQq1uASxeTD6I7eswPbdw/Qd+XRK10sXAuVzQIqempmR8RQu10LDfUJPD1ppKRVWnbt2GD/vhPoQOIDMzJvw+QxoyONCR8nfvSmBQ6FllOLZ+xocn1xE3+ynBsZgqUXn9nHJGwRZ9s8IOKailhwav3GCMJnWIMsb8HrH7triwWJ5H5/PWBBZCPihrZWvM2xcXhXfOMq65Y6wqIWu63R2BDmmpIDVwT5KpcTTWr4I9kR42gQB1q1zpVS/5b76WtQeM4da4htX73W1s2zMOKQNm8O2y/JAOcQAMmW4bqyfp1/s5MijjR1F8sY2gtPTXwtoPeZY1DgpcYLgSi5qBQgOC4IniO6w8Kcn4JLLjOdoRRmDKLYM/Ftrb0fM3/2U0PZfpuZUMbV+Hl3jTyfmt2nsWDANGwt6lpXAIVWg6cgb21DG50c9h9bWhhhDmbvCqpNnim6k2SS4d4KP67daeGKKj0D5MVHbAqCoCF4FodeHMjF+CmBGBpTGCD4pEwowr9hJoNAx8BszMp6i6z0LppqxuyWBIFB+DLo4+M3SysuZav2MdetcHDUhn/Zg7O+QrsOqBGpJU4GmZWM2f86LLYdTY9MoilV7JZqwrX8cz8yrMP/7XdTyCtRxkzi1N5OcvVux/3j3pdn2Q63MRq2MdAgpk4uQGnoRDLS29EwreqY8tUXjAAAgAElEQVQVJdMKJDcP1NfXkZGRwW93SXls2LCOyy9fzD777MeOHdu5664Q6YyqKlRUhBy8lZWh/3d3d5GRkUFubmj+nTFjJh1D8rcbGxsYM6YGuz1j1/59BgykoTjttNP52c9OCdu2bt23dHd3cfnlFwPg8XhoaGgIu/62bVtpaWlm8eIFAPT19VFfX09lZTXvv/8en3zyX2677e7dGtE3wp7I1SjijTaZzmDyXvRE4fH8EjADJeh66FFeOtzYCKrIa5tQa3JJC0XhEIj+Tkwxal/QdITuGKxZsh33fktxH3grcvvXmBo/TOr6HhWWbIxDR+5wILhDKQOiu5GMVTfjOvSB7yWdLQySOcJT3w+TaS2qWhQ1yhE44UT8Pz8FQQjpsHzTl+prbANMCEKS3m9dA2F0PpLJIFh8MMHiQ7GvuQOAPgX+2mxKWuLAXPcuJqET38Tz0to/i+UjAoHDh2zJwGSKJH/ph1ZYRFFnJ23BAOvdIn0xHPK6puF9+e9h29avczNxUgan2YqZY0kuQr0m2MuMYZTzoiiw1152vvoy+eiI/b67yLfA9ATmvusqx+I022CYeKogwEaDGmtdBzXLwnHHGywoVA0hoII1MTr7ZKAH/CjrYqeC6XoGLpex/l80iE4rgjtAMKiz+NJY585EVQfTidUd25F3Iw17P4SsrOTTThVPaM6QDObrBM61oxYM6+0FASQRZUIB0s5uTKsbIRhp0KttrYgxdAFv3GaJy2pZbtV5dLKPL3pEdATsq2+PbKRpyBtaMX8ZIo3SyhKLKK38AmJmW5olglOLBkr5RLEDj+c0vPWT0T3xiSRGDE3Ftv5JMA2WFKil5RxjWcchh+WSLct0K7EjV51BIe31VgPd0/KwWt+i0KzHpWMHQjW1ukrguBNQp0zF/GU99o4N/GlVBVbrD2tZHE8TLxVs3bqZO++8Fb8/5MSrqKjE4XAgihKVlVVce+0fWLbsMRYsuJhZsw4BGGCOzcnJxeNx09UVSr3+bhhRTElJGbW12/HuSjtYvXoVFRWJafGVlJRRWFjEvfc+xLJlj3HKKacyZcrUsOtXVlZRXV3DAw88yrJlj3HCCSdSU7MXK1Z8yssvv8CNN96OLH//caMf1ij6P4T1LpHnmkzcuFdy6TmJQ0WW+1NERAQhNGmdv87KQJmErmP6qgGtJH2sWUMhuusJlBwWdb+WZaxuPhy6OTNEe114EPavb0Vu+yqh6zf6BZwJvEO60wmKD+cnC3EdfPdAzvj3Cd2cFcrZ14avoHXs9ufweH4T9VjLC39F3Bl69qIA12+14IqfGWMIv/9wZHlz/IZDr7/9VVRnZLri9wHfxLkoudPRNZ1PuyXOLUuNOc016y7UxvgshIlDRZLqUdWh9NFOBCH6QkgrLCJvl3F1YoFiWP/RD0EUcSwJ4+pm3Xd9HD47FzMi97t3RDnSGNtULzVSZIQqN9fE44/WJXUuAM9FS6jzxzfAP+7ppCPKoszng4/+a7AYC6pY+vz8R43sr9jqQk1jTWnYuZ2ZcZ0yJtMqZPmbpM4rZFoQ/AoP3h9aZMfsgzi4AhecmVhmJ6hrmEaIuXkDNWIJQ7LRe0R0JrHgzJKYh/f2RjGuhkCtykEtycT86Q7E+p4wo00qLEIqj07lvs4lYpBhGgFJgKAmoOiEUsvUwe+72O7G/HEtut1E4KDKpBx4X36ho8a5pXquHXlDKHJqNn+GrjvJvOEWBOtuIF5QfXhmXB7en7w8cvqaefnFJkRB4PdVxuUB/WjwC5QnoHGVCnTdCShUWN3x6dgBc93bWDc9g3PBeZi+3IFSk8uW775i0WV7fe8Rj+EY0MTLsqILpEVr64gjjmLvvfdl3ryzWbDgXC699CIWLlyMw+Hgssuu4aabfs/ChefxyCPLGDs2nNpfFEWWLLmSK65YzOLFC2lpaQ4zZrKzszn33PlcfPF85s07m56e7ogIVTTk5ORw6qm/ZtGieZx//lmsWPHpQOSsH+PGjWe//fZn4cK5zJ17BnV1dRQUFHDttVeiKApXXnkJixbN429/+0vK9ycd+P7Nu/+jeK7JxH0TfQkxZaUGAb+/X4xZRJLqCAanU2TWafQLjLHtonstyBiRUHAs2NfcRe/sp6Lu17MsiJsSLLoURJCteCeeh2Pl79G3PI973+vQzdE9fyHNjPiTdd8jTyEEenDPvAY1axQ1QJJEoPhQTM2fECydPbBNEDz4fMfGzKEPzj4KrTAkpigJMK88wMP1Zq5IIT3Q7z8KQUiu+N+6+S/4q2Izb+02CAKByuP56Mt/sibvZI5NUrrNvvr2gdRWPeBH1/W0fFxleRPB4JSkjlGmTEX2+SgxW/jGJdEeEDip0NhqDqxeReDzz3DMH6SL//GJhdh28Z7Pt1cm/Ft0XWesZEc0aFtYZEGSoKnJT0lJ4qLV2vx5WO6O/3E7yJmNvOu6gYrjQwviXf/Oz4d2g+lDlgWOOSiTJc0mjs9XwiKVUosLJQ36fdHgefbPWA4/EiGKgLeqVgypsUsMUoEDBZ0vrtNYtDj289J1GUHoRtez0X1e5HGjL3w+HGpjI1JxCVJxbINoKCxb/kqw5DA0U6ThK/T5Efr8hkQP/Sguhi0J+IC0IgeBfHuo2F8U0EqcISbOAw5CipJ31xkkqYjKITkqy3aamN6ynKMqilByDwBZQGzqG9BFShaNDVBaGr+dOlnGxrN4fSHdQ99br2OaMg25ZmycI0cG56dLcO//h3DpDUHAc/1NnF8Vikq809nO+LLoa42ARnIMrkkiEDiQfXI/5cuOoxkuWTAcwYL9cHxxLagCemYGWlkWOefexO2PuVh646h1MWWoFdlpryM966y5nHXW3IjtEydOYtmyx8K2VVZWsc8+g8LoW7Zs4qGHnsBsNvOHP1xHYWER++yz30CbOXOOY86cSF2+fsydOz/qvmOPPYFjjz0hZvvTTz+T008/M2zbv/8dKbL+fWJP5CrN0HR4qUXmpnF+Cs2jEwKHEJOcyTRYUGs2fwJolFo0Gn1i6IPlCYbSAUcDugZaAORI0orBTkpozsQXZAC6rYC+wx7GX/UTMv99ekikNgpCau/x73HGY7/FtOMDlKID47bdnQhUn4Sl9p9DtmhYLB/g98f2RjsuuzjMKzsnT2VVr0RbAukQRrBY/kui1NGiqx7NVhSzXmx3Q9XhftOpLJbeDTFaJQJdw1z7z12U66Fp0PfuO2idqWs7DYWiTBwQfg7fPgEwXmAoEyahFhVzTXkNObLO133RIz9q3U7EzHAD/OmnBpnsruvbRGOCpBYeXeMqx5io+087vZS/PZdEVM/rZWXZNDYO1wcafl1V5fzN3w0YgMGiWQjBQcKIrGzoMXicd9+xnbwcmfPLAzxSP2Qc6jrB6SVpk5kwgjxhIooB+2g/HI57Uzqv69MWyioidY4iri/XDkSaBVECcfd/wpXNG1F2JBcZDVQcF5UhVXda4mZXFBVDa0uC31NJRJlShFaaGTKydJ3Aqq+iRpK+7JHYP0ntpfPKgjykHsPOhvqQ9pZfRZlWnLIuUmdnSHogNoI4HHeifbQvKKH+Wg49HME5ypkYagDB32GoaWh+5y3+eOtWOtoDzC+JLfI81q4xJy/FFIsE4PcfylRnL6ckQMeu2wrBbQKzHWVSIfV+Hy/d8zLTZ37/WS3/G2C325k/PxT10nWdH/1ozvfdpR8c9hhXaYZXI80iecaQ5S3AYB6DpuUhih2UW3V6uv0gCQT3KR212iKpewNq9sS47ZSxecTNdzBAsPQIeo59Fc2ah22t8YKl2qYzzRH7Xsstn+M78TQCpT+8l1/NGheRVun3HxL/QF0PW1QJQoiSfkUCNLRG8PsPR5K2JtTWsuP1H07UahdeapE5Ll8hw5qB85NFIcM/Duyr/4joDScnkKuqUXdsT0uf7PZnGPp+9sPr/RlgHGEUAn6kxgaea2ukxq6x1RP93VXr65HKBmnYG+p9nPzLwcXPDFMma4LD2cWMsVP18q0SXRbhkMNykKTE5xGxpZmV1TOZEafe6oOeDg7LGtSiElRfWJqsKApkDlvrBIMaa1b3keGQOTZPZWVvKMIHIcY5qT59GnpGME2eQjBm3ZUGJP8evromh+N/HP8eK0rlQDp4YM3XiI7dz2wm5uWjGYUUo0DwtuFYcWXU/dLWzti1uUBBIdiS51VBmVSI4A2SKY9FMtCKghBJypG5yS36bR4/z/saeb1tJj3FWRCD6TARVFUb0+8PhcPxIP7A8QTHliFvagcgsPILfK8b09unC6am/xIsOcJwn3f+QvLzzWxY7+KWuq241Oj38ateidYUHYCJQNdz6fNP5YXmBNYbARXdJkAgRHbV6PfxdfEhTJ+x+9+n/434xS9O5U9/+isPP/wUS5fehNn8w3G2/lCwx7hKI15rlXlgp5kxttGLWPVjkIY9BE0rRhSb2cehUGPX0QVhVEkbTK1fEiyMHwkSu72gpJgKIJlBNOGdehHm7f8IGVnaoFdKhJgaV6KrjoxVN2F671PMn3yUWh9GGVpmDVLXesBPZubv0fUEhE8NnuuBWSpTHCoNvlSeuYDd/nxiTbUAgbLdX+cRCz2KwJmlQZSiAwmU/Qj717fGbG/e+RaipwnfxPCUCKmqGqV25MaVIHTh9Z5suE+WtyOKxtE1PSsbobeX2Vm5iGgE9RjGVWM9UtlgmtNfnmmgsWEwUjXD5GRNMDHacJeuso8pusdWFAV+fUYpmzYmJpoqNjezumB8XMfHW51tnJA7WJStSzYkd7iO1H0Pht+DFZ92M+uQUHqMIMANY/2D1Ms+ZVQo2IdCnjSFYNTiHy+6nlr9y6/GNHLIwfG/GyE69pBItO970nGR8gvQOtoTbm9u/JBA6ZFR94t9vqgU5f2wWIS4KZPRoNvNtL12H1JtF6ZVDRAIH5deDWrsCX6zVQ15XQumb5oR96/iMPHPvN0+suoKXde57Mp4Ectv0LRMAoHD0UozETs84FcQCwrjMliOFJba6A4161+eZoq9jfXr3Si6TlsMxsAsWY/5vU4HMk0uzimLQ/Chapg/34m35lwCPwvN092bN8FHmxlTk4IFvwd7YIA9xlWa8J1L5O/NprjU4OmCJDWhqoOeakUpRxR6GLN6Bx2aOGJPWjz4xp9BoPKEuO20HFu4mHAqECUC1T9FsxWS9a+TkVs/H9gV1aGueHF+soi+Q+5DKxuD2JROsoL0QbWXodlLsNn+sSsdMM4CQlFCoi8GEIVk1HUGoes5CIKbaBGVfgj+bvxVJ8ZOBd3NeK9D4tSi4ICGnG/C2Yi+dsw73jRsL/Vsxrb+cVwH/THCSJWqxqDWxxeJjQeb7RUkyZgEQlGqEIQoXnpBwPqXp/lTSwPNQT9H5ipRidRMM/ZGKh10rqxd0xfmdZ0kO1ivJGYM3e2qRY4zcgQhJHSaCLTSUvSi4phkMwFNozMYpMQ8mDYselswNYXrrt17F2HMdG+90cYJQ6iSJ2RovNku0xXQMX3bMuosoPL4CWRee73xPnlnGJtfomhr02jqMWGNILeJhKYVIggudJ8PwZxcynW6IBYXQwKaRv0wNX4YVlc6HIIntsZVP155KeFLhkFXFHQ1QHDfctSKbOQt7aFsil3jKlNKbFwL7gCCK4CWaSUwqxI9w8y0/U/nxwUKf29O3cDy+eD116Lvl+XNqGo5Hs85uzoioEwsRKrrQcwvQGtLXUw2EXinXoiWGSVt2GJlmqWZ9etc5MkmOmKMi3t3WEadpFdRJvOX9k+jN9B1TKsbQxk1UiaiLUTz7d6+lZ8d3jvASLcHezBS7DGu0oDOIFy7xcJ9E32YdtMdDQYnM5SPJBCYjbZ6L7RiJznO0TWsgBD9tRj/gyIENeTa5AgTjE8k4B93Or1HPo1101+wbHuFLR4xKru8Y8UVeKZdjJZZg1pc+oM1rnRbPvZvb8Fs/hK/f3YCB+h4llxuuKvapvOfLplvXckPwmBwP8zmlTHbCKoPMZBYqtnuwl52LWIR7zrwdoIF+0XWXykeNHsxvYc/ZkgJbT7gQJwXLxlxn0ym9SiKccqsJLVjsXwQ8/gCk5m2YJDj8hQ6g8YDXCqvQLCFjNzu7iBOpxyWumcRRBZkxK6BAFB0DVHAkMxiKHLzzHy7to/GhgQ0xJqbeaIy9oJP03WWDmMX0zJKEd3hApj/85vwdfw++2ZG6G6dVRpE7vSi5Y6+0S+IIq577jDcp6ql+HwnJn3O/HyB6mkmBHcijjmBvr7rUOp2IiVIb5xumGfug/2cBGULdB3J04DmKI/RhoRkQvY/IHEDfyi0jo4QwyGgFWSgTC5CbHUh9PrZ2K3jUuNc269AQEFsc6NnWdHKswaMeMlVT2b3Wo7IUelIMeXt/7H35gGSFGX6/yfyqLPv7up7pnvuExiuGe5DQAUEHHG53GWRFQEBAfFgFdcVV/2uJ6zoggeCt4CMgKKIcoPDITDAHMzZPd3TPX1fdVdmxu+P6qu6sqqyuqtbf0s/f3VnRmZEZUZGxPvG+z5PNAInn5LprImUOskQ44n7WwE/5sIy1OLyvEI080b3FtThzCHjZn0DdaE2jjq6lCrdlVXravbjeQBUTqh+ErB3VKh7+5FeHau+BMtfTrwhGe6ov91PeWMWobF5zCNPzBtX08SmLo2TX/ahPQDv/pufU8oNqmaRwCIVJvH4yahtg7gf30XwzhdwP7oNbaAVubiCZwZmWYPIiBBZfbWjorLIhQgWbjdPeioJnvAdos0b+ePe/WAm7+3e+wDlm46Fr2mUP7g+Se3ecBoAVl096hwYVw9t6uL0k1/Epz3M6Se/yEObunJfBOiLO4kdXI+Tz1HpOIAYzJxXclK5wSfedo/3zZNf9rGpK7cRHIudhK6/kbWMa/8f/q7CwVPx9RYXUVOkr8tUF+g+3C0PpfSLigc34NlxN9KbWR9k5Bv/b0ZtUtXW0d0L+3dpmrWoamaSFoQgoOn0JOKMmIJopohaY2Lx8NfnBzn+hPRw0kHLoMvMTmqxywiz1IaC3Q519W5+6YDYYmdgEY+Y9s94U28XJ7/xIv5Hf8dHd21lU+/EN2L66lBCqff/4V2SfXtH27ozxLoj0sMXVQGvbw+ys2J2QwLH4L/qGmQs/bm6XC8gpfMdjIc2SU4/2cKrDvPlb+q89qyzcdLrvQ+rvwN95SrHdWXC5HnM6VhhhUKEvv89hzVIghts9KAmwaxzludyz48keUQjjsPq7UnTuLLqSpAlbtyvHWBJy0GwrNT59PFdqPsHUPf143pxPyJmYjanf2Px+lMwKw6h2iW5bocnJ4mLHV7cDM88PfG/2/0E5eX/BmygsvJcNG0bUtqwLEYTKFKl+NOfzbvOXBgfN+85Ev/fbsW9137b0GpcgHqgnUWLvazyFFGh2+feGFaWKJMC463BdShaBj1BITBWJfuC9sYbeFt+AkaExcNtbDixeW4aOI93BObUuEokEtx0001cdNFFXHLJJezZ4yyJ/h8Nm7o0rtzuZXtIxZSwP6rw5X0eRxNTYRBHa+vE9WJbUkdKghI2EQd9qG2DPDswu+1wtT+ecbBNgxCAdCQUmQ+GTEFxRTMiPkjZQydT8tTlaANbQZpogzso/utN422UlZVELr+ioPVPxUOburjmyq3s2B7CNCU7toe45sqtDgysOEHzCpRtmRnIJsOqrcM4/IiM518ZUnl9RBvvm9tDKldu9+bsm5ZVTSh0OZkobEVsENeBvzhq41ygKyZ4fVhlpd/e+pB6MVL1pvQLNdhK0cufz9h3hRD4PjyzfuJ2P0sslln7TcpihMicCyVLy6gPR+hJxKlzW+wMpw/RMh7H7Jow0N5zZhUXXJxOi32Mq4wKJfsu9pbECOuy5FtNxnEnlPPSi0MYOXIoS596nHdXpvejTb1dXLl7K9vDISzg7UiIK3dPMrD0IoRMvS4QEON07OXlOqWl9v34eCXMrX3OBFtnivC9Pyb+4l/Tjsdip2aVUJiMhzZJrrlSsmN7cmi8/0k/H7vFx0Obco+T0ejZuI8+HN8l6WyU+WDqPOZ0rFD8fjzvyR0SDsn8xqwEM4aFVenMuK+ugW5n/qoUaCtWUnSDzW6/EHwpsISaCh3347tT59OhKK6X2lF6gsRPWITMwHorrBhFmz+JEPDtFVFu3uVmKM8o+I4OGGOJd7ufoKTkS2jaXsBEUcKUlHzddrdblngQkQTGsy+mnZsJ3HsfSJ1PB7ZR8tTltuOm2dCIuWIlLpfCEt1LlW4/3nTFBdWu2aNhn4xtA6eAnhpejJWUpjEXV4zvOup/fR6kht77Gj8dOg69IfdO/zzm4RRzalw9/fTTGIbBr371K6655hpuu216tLV/b9y23947c3uG44WGqvbAVvsJSdvRQ7EmGZ49xlP0rs0kao5xXF56dYgWtkHtMYVGj0R6qxEZmM58W76V/EMItNdeLWj9U/Gd21psj99xe3bKYpfrJWT1AvSe7CF54+Wf+DPqzp0Zz8+kb7rdz6Eo9lTkrvbHiC3IrFsx1/h2q4sbm2JZY/h9b3zL/vgW++MAQ5+4znZXwinC4fNJJA7NUiK7+3bk9u+xYeEi3lNehS7gF53pixWz4wCJSWqzt32zBbc7fSgfsQzuDh9IOz4Z53trOMuTeScvpeVCcOq7Knniz31Zy31eriHuSid2uK2jxbb87R0T38jwaanaWJVV0NOTzLv68Y/aqa6xWeRKiXJiEwu88NdpMmbmAy0DY2BR0f/glCnwO7elGlHBmMLxy0LccXtu40rXX0fZ9k2M9vzFnSdjJmPF0OdvdlRHfOHZmKVZtLikZIKRJDtqagQHp2FcxTe/QOKN122rHjEVXM2ZdzyVoVjWkEWpF6MOJ0lwatySWxbHuOFtj9OfBMCBdskYN43P93PbMpmOyxIPJatPcV6ZA/i2fDPDcZtx0+/HWLUaj1thyxvD9GbIuap2ST67aG7y0Y8pqUfKSesj00IMRjBWpOrfKZ0dxBeegta1mTd26FQ2zNOwz6NwmFMR4UWLFmGaJpZlEQwGU1Sd7VBe7kPTMk9WgcDfhzZzZwYymp1hdY7a9DrBYfsEU2UkxtJynYhPZ8lsOXIje/AtO3pcH2gMmX67PGMFQi2wHS/h0GoIBNwwvNe2iDa0Y6JNl/8LxbP4bnZl6BS7doay9Il2YAWwGI74NwLlOmg52Mba9sCyJshwz5n1zXOAN5LtmYrn/wTv+V/w5v8MC/1N7AlCUIEzl+ZYBA7usD2c0i+mIL5iKaXhftyN0xFnDQJ/AS7OWCJZ738TCKSH+QDw29+iNjZyf1UVVzY3E98NgUCqgRXc2o+6YimBQDHBoMHn/mM1RUXpY2mp5efW/fu4Zcpvnfzbb+16m/+oWeH0B3L1tUt57pm+rO805PaxqD59obIzYt85d0YmfSPP3wrHfX7cu7x0WYLt2ywOtEdQVc22XmNvH6LUw38d4eLmN12cm4dO+HT6ZuKkY+j848NTro0DQbwOv49dO1PzAaMJwWNvFTMUddKmVRjrXkArX51Xu6diJmPFiO5gPLEMePgSeP99GYuYPUEI6KiVE+Kzme67fEWC/n5JIJCfE1OedybCRg+sLwZnNDD6Hdk7VJSRWO7fWVRGoARwF/PeAEQ8oJbqBBzyjfT3hTn0MC/FxQKwd8ZpWqt9OwLQ96vfU3Z4Hfqi6vTz00G+46YRxl/uZesTgxx5tMe2zNM9IHVY6cyPk4Z8vtNDPDDER1kSiCFlJbGn9qAtqUSrnjImjQzi3XAexu8uo1dfQ01NbuPq77XmnMf//zCnxpXP5+PAgQOceeaZDAwMcOedd2YtPzCQmVIzECimp+fvk1y/3Odjeyjd6FvuM+npyUEDWgAUFe3BKlmKMpQeemMVqywUEfb3WNTEZ2Eb3ohQYigM96YykWV7H2IoigjGsBoKZ+2tAdYWJb3a5WUrkyEMU5taupKB0Tb5vv5tIldfi5wlXZhly33s2J7OzrZsuT/jcyku/h/C4cswzRFE2SloW/9Mot5eT2QMRfv2E9aLsDLcc6Z9s7T0fxka+m9SPPBS4nc1Egq6IJjfNzcb36nHgi8uFPT0ZHcPO+kXUxGvrqf71TfxlKeH2eWCEP1IeRZgf++xZ+HxPEIsdjxS2gh8H3MKMpHgPLebnp4RrISXzq4I2qS1YXjrTkRpFT09I/z8pwcoLdV537n2C6tgLE539/C4hs7k92FJyb+Kmrzfj8djsWVLD/X16Y6AvrigPDxke8/lXh/bw+nfyHLvxDcimv4V2dU/LlLd1CwpLYVf/KyF086osr2vkBbSsmB4hP9aCK+3ORMXn27flIqP8P72lGtVdR8eTy2hkLP7LVsOqYzugo+/u5df7ah10KYyPLv/THRpZu0oJ5jJWBFPmHR3DdkaLWPQul/E5V1MOMvv0Xb2YJV5sazkXJXtnRxymMRIQE9PfjvLQ1/8PL6L/xl9eaoToScuuLRC0tMD7hJPMiRwCqxid8734StaTWLn8yRqkxqFJ7jg8X0qNS7JoTm03gA+8SlJNBokGoXy8qbRkMBUGEYTAwP27Rje9zLqX1eQ8HsKwpaZ77jpOthP9QqDLa8N8tdd/RyrpjuOVgOI5HydL/L9TqMxgVs9wIARRG4fQWgCw6vBlHsUVVQTHIGdXUfS4OnNWcffc805j39cZDK45zQs8J577uGEE07gscce46GHHuLmm28mNoMQnL8XLq2z3/q+fuHcbHsrSjdmwN5QsVabnF9jsLZoluKbhULo6FvzukSWerCqM3jqp4nfdGvsiyQnkvBhN9mWCR/2ifG/RTCI0jF7pBbX3dBse/za65tsj2vaDqQswjSTcd5S82F5c3sele5urEDmcjdk6INO+2YisQZN25ZaZ6id0LqZLeQKhWED7u3QqXRAHuOkX0yF1tSM2dIyrbYVF3+NTCxVkxGNvi9jbo7+wnP47v4BN2+6G+AAACAASURBVO1Neo+X+Cw6YqkLJmtwALUx2W9eeG7AlsxiDI2qh3bLnuFvhxHiayP563rV1bspKbH3y20ZsDgce8KVG+qbbY9fXz/xjXi3fi9lYed2wUsvwmt/G+ZwGzILMRxF2z0Rphi14NXh2Q0NFEJQfNNnUo5NEJk4w3U3pC+Cl1THue7jua+VUpkaNDAtzGSsUMrKsQays8C6DjxJvD67Jp4IJ5A+Z+y2hgG/3eSoaAqsnm7Uqqq042+OKAyMsnEaGbZUMh2fjNiC9yI1f8qx0ypMat2SXQ4ILn5z/8Tf4fCHbMtkOg4gykqIesIFy2vOd9x0PfsU/qFuohnZd+A/drtpm5YGY/4QwAsDTag9B1H6wxgr7N9h8EtJPcS2kQZOqN41J22bxzsHc2pclZSUUFyctPJKS0sxDAPTzC40+Y8Ivyb53KIoq/0mmoDVfpO7VkXYWDOLiU6TIPtLUYIJ4kc3YpV6QBFYpR4Sx5RgNC6gNSJ4sn92NiXdrY8gRf73dm3eX9B2rC8xaR71TscWf5DhU+7GKF8LioZRvpbhU+4mtviD4+Wt+nqUjuz5JzPBmWcHuP4TzaxaXYSqwoqVfr571xrO21hjU1ri8/2EcHhSQrqiofe8jDKSPUfLWLESfJkTwDfWGNy1KjLeN5f5TFb4TM6odNY3Y7ETcbtTBZfVkVZEwj6vba6xLahyRaOzjHEn/WIqXEcejevE7LuHdlCUvlFGr9whSy7Xs7jdf7I9Z1XXoHR3jYtx/ueSGAum7ML4r7ga19EbsCzJ4KBBeUXmxelZngDhDIQCWxLDrNPz38mtb/Dwra/tsyW2OKLY4LwLTrC9bmNVDXctXUOjy4MmBKt9Rdy1dA0bqya+EcvXgBLuHP/f44UTTzY57wM1tho0ascw5qQdcb8KhxabMxZ2zQWrrw+jbWJMk7KERGKt4+vP2yj47l2CJUtB02DValh2mMZ573WgddXdTd9vZ558f0alwTeWT8xjy33O57Gij38CJcs4BKD1vIJRfVTWMvkYV2VlcNnljoqmwBocQJSlOyAUAbWjorbmgjLiGxakzKfxDQsciVKb5WsQsdQ8xLGu+uldbgZyDFfXT7JZYrF3MTJyLYaxEFAxjMUMD39+VAPRHkqgmniwC21nb0EMrNjiDxJe+RGMshWOxk2zoRHlwAEWNnmw4vb1748KqueMTRme6lNQ/S3I9RH73TzDwPvjHwJg9bWx6qg5DeKaxzsAc9qjLrvsMj772c9yySWXkEgkuPHGG/HlGKD/0dASEZxQZtLokVzflBjdKp79UMDJCPVejXWUHzwaZlP5+Ha1onSga2/Q7D2RqDU7O1ex5o3Tu1ARYFmQJYwkH/z7Lg8/O2RCjDW2+IPEFn+QQKDYNnTBrKtHOdiZdrxQME3JmWcH+NTNiwmFVILBMDV2yfeAECHi8WOwrFRvquUJ4G59hMjaazPWE73wkpxt2VhjsLHGGO+bfx1UuWmnhztXRXNGjZjmElR10g6fGUdEe5F19gvmucQzAypP9ascU+bcIZOrX0yFKK8g/vtH0kKIcsHlei4rS+BkWFYNLpe90KVVXY3S3TWuCbM1qNAaUTgrMLHgDd72DYo+/gm2bg2z9pDsxtHxrnJ2ZRAT3mKM8FHf9BbptXVu/vynPt57VqpX+N6dMT7R+QzmmfZscmdWVFGqaVy4rNk2xMby16EEJ4gaFEXwX/85wje+beekAKUnhLE8tQ31bskNb+ucUm7gnaVNLNexxyF8E7sVUrrGd6GdYt3hcN31gquvLaGnZwRthwsrlED6shvoRss+3KsrUNXpiRaPoSchWOk3eero5Dz2xVcTjh2EVmcHhmVlpYOPrroCcrBVSkU4nhOEEFx/jcXt381zB0TKtPDFoUSSLOaUiomxxFxQhrmgLP/wLyGQNoyb1S7JFxbHuH6Hhx+vjdpSkXcckNxzt+Szn598UiEU+hilpadnDAWcDH3tIchEAmN5VZLzXJ95pw8d89+EhEqgujTnuGnVN6AeaOPWLx/Dv2zdgpRyPAx5DAlLYMO5Myuo0iVHdfUQX3kkLt9zGOH0sVxEI8TOfT8A4RY3G88dYm64DOfxTsGc7lz5/X5uv/12fvGLX3D//fdzzjnnzGX1BYEgF9/X7ELfuQ+98QXwpNvFllVNPL4BAfzXXofZtPlASoqfvRKU/Advq9iNGCmg3hX5hZeby1YgS2aH4SMUNPjm1/aNL3RfeWmAp5+0Z90DC5frJaLRc9POxOtPRe94Mmtd+uYs6vMZcGyZyfoSk++3O/EQC4aHv8QYJbur4ynU4MxYyQoBKeE7+118fJZDb4UQeN6dPyuiy/US8fh6R2VNswZVtac9k2XliKFBNCFIWBar/RaHFacak74LLkaoKk3NXv7tiizirCTHqj7L3nXeYkRYpE5PePefLqzj/l+nOyuuDwxhHXV0lvYIGmyYBMdg+upRQqn37TggcLnTP3YRjiM9ehqbm64khYV/dGD2xNStvj5CP7proi0iSr4zw+5dEJpk91oVPkczsr5iBay7BtPM/u6zoSsmeHVYZX3pxJJy86BKxKHfQj9qPdqSpRnPa72vYvpzi7ImjsnPOMwi8ZcRPhuH1CvDKkeVFi5qRh18GxFPl1hYV2JxdsDgy3vtDeYD7YwSWUy6l9qBadY7rltbuRq1tg6EwPVCK5gzMxOU4T34/3ZrGmFVJlgNjSjd3bz6yhDXR5vTDKs5hZS49/bySFkNBqvR9W22xbTXXsX98G8xDIu2UByi+c+r85hHNsyLCOeBl4YUXhtRHSVLzwaUgyMkltUQM87IUEKlqOjOQuS02t99aBeW2yYJ3wFkmQdlKJK7oAOYMis7rv01y5ZjrJoZu1Ym/OCuNtZvmDDcFi/x09qS6bcKDCMDE53mQbrKEOEMfMPRKGaTPUtkLlzekOCSugTtDuLeVbUVlyup4+NqfYRY0/umVWch8UiPxonlJmWzt14eR+iu7yHzDK8JBj8BODNUpCxFiAyrRCGIfvgjnFURICYthIBP7Uw1RgY/dQMAP/5hG4Hq7LscLqHQZcVsf8/1RU3TXgiVV+gUFWm07Z/o571xwS0vhdBsaMrHsC0cZMDIHCdlliwhvui88f/b9keIRCKoNm5/6dVJHG5PPHJuwODpAS1vzSGnUGpqif91bEFmZpQwyIaWFljYPPG/VelLGos5EH3izyhKL17vr/OucwzfanXR5EldhK8vNdk85MxxZmzfSuSR32Y8b5YsxSrKsZNnWmhv58dwoChgWc6/TWlZCG/6d/nSkMrRJYUzrpRIF1qfvQj7hbUG5wYM7OThDhyY0Lgag6oexDTtd2ptEYtidhwAITAXVaDtyS6VkAvulkeI1zkPjU4cezyRq6/l8CNLeC4xQGc8NY9eSvhAzSx9iFOg7epFmJJqtwQUEolDbMdapbMDq76eXTvDdDW8C19ZIyIyDYXqecwjA+aNK4eQEr7d6ub4PEKSCgl1/yBq1whe30PoeqbFi0BRkiFdioA85iBH0Ls3Y1Q717eaDLO6CKu8MCGgPdMRJJQS7a03C1L/ZPT1xnnl5SHOeM9EiN+ixT72t9oZVwmKi7+CaWb26EZXXIYStV9wKB0HcP8u84ImG4QAj+JMB8g0F2GatWCZqKE2rJLpGXSFxO6wwkca5oYwxuztwep1PtHq+qvj350zCKLRszOfDYXYUFxKYpJBNPanFRxBFBUhpeS6G5x5iV+OD9NmppJa7DPCRLOJuzrAx65biGFMtPGNEYWlfa1YtZmZFl8ZGSJsZRlDdT9a72vj/z76ux6KSzSGbXSXtR09kEHiQRHwuUUxRszZ8TQpPh8ylnymitKFrm/PcUU69rdKmibz3ZgSMZKb4Ml7zvuhcvW06gTYGxYMJARHlaa+/5PLTZ5xKkCvaRi7M5MA+F77CtKVI1JAgrEoP2ddRSX05bMGljK5qzMFO8JKQUmfjKrD0frStbTGsK7E4nttrrQ5ucPGuIIETnI3xyDKypEjydA9c0EpysEgJKa/TnF1Pk2i7iTnF5gmvm9/HUURvHbHEJVaqoNgwIClvtkPulO6RhCDUYzlVXx9eQwpIRy+FCHSQ12Vzg7M2nre2DJMuP0JhquOQu95yeau85jH9DBvXDnE430qhxebBOYwKXMMYiCC2jZI4pA6VLXdQTiIpFKX9CYKu7DQul7MSzw4BR4dpbswpAjFmuRjC/JcaOs6+KYXApUN/3NbCx+fssgtL3cxOJg+oHs8vyMeP4Js4UOJuhNRovarB7W7C6s6D4/mFOgK/FOtwb/vcjOSI7XC6/09evR54o3vnnZ9hcLmQZWPNsbxzb4+LDDKGNjqnEXPMFZgGIfkWYvKWOhl2v1WryVomsRH8ybr3Bado4yB5oEDqPWNPPv0APf+2BlByzq9mC1Gat5Eg+rhCJs8kXywYmURzz83QCKRbOfrIypHtL6OVVub8ZrWWIRmd/bvML7gPeN/P/tMP+ecV0F8qs1hmBhLKrPGBq8rsXh6QKN/lpzmoqgYKziCprWOEhDkh5ISaJy8ueNSHRESDN18E0L1kdTWyh9fb3Hzqeb0a9cUWbgVZ/ObUhXA6s3gBAp3osSyMwlCcjGstg/lLDcZ736PyIuzwTrYidGWHtZ895ooegFXP0blYSlOATt8vCnOA10affGJPrt8BSydEl05MnJLXnULRSH0k7tH/xEYy6tQW3I/fzsowfYka62ah5aYphG59HIURdAZj/GngdT5SwW8s73SjCbQ3u4hcUQDCMFPOnVGTACJrr+SVlzt7MCqq+ON14YYeVcTWt3xKbme85jHTDFvXDmAKeGudlf+C/pCIGagb+kkflQjKAJF6cOyKjMWl7IMIYb4dHOMUq2whmCi4VQsv/NY8KkwC6SAvjWoMGzkbzh67v5BQeqfjIs/VM/6Y9IZpb5x28opRyK43c8Si+U2VqSSgQhjhsbVGN5fbXDj256sO5ux2Im4St4isvrqGdc3U/hUiWcORyq1eRFGizPjSogwxcVfzbuObDkV+ssvUtrfT9coY+Ayn8XOcPIBmAfaUBsbefaZftavd5ZDeKhezJZEqnF1R6iVBDMfH846O4CmJb/Ft4IK6/a/kTW3sS0WpdGdXSjbuy2Zy9TVFaOsTOd95yi4pnwS6v5BR86ajdWJWes73nPfjxweHiWWsJdcyIaL/1ngcqWOY9qe3OGFZufYLqlKcpfDOaSEc6sNlvnTdxIUkcxVCzrgtFArq7D67MPP9ANPEq8/Jec9RDiB9OcX57tmbZKS3SmMfXsxp3zLbVHB/V2F5fKSnkosT+Z5eQyr/BbXv+0ZDxEsKoZA9UQfEGIkI5No9gZMfMtWTRHmogqI5797JRWd8CE35n1d8cevAqC23s2e9lSCr+0hFXM2fdKGBYogfmwTY4KAZ1eNdRIV01yEoqQafOGPfgyroZG+9kFOfelhrMpDiC29aBYbOY93GuaNKweQEm5dGqNortk6LQmqIHFUA7gnV57ZsIjHNyBEgpaIwmsF1HsRsQEs78wW9tq+AYjPnK7+sGKLVTaLg9wN0KGAump3/7CN2jp7Q+jB+w8SCU9Mbj7f/UQiHyBFnDcDpLsUV9tjaceV7i6s6txaWLmwodTkxHKTb7Zm9k4mEofh4oWCiFLOBHe26XgUUkR0Zxv66rUIr7MQVpdrM/H4hrzrUJRuVLXF/lx7G8H9LTw9lFxov7/aYPVoCJO+5hC8Z76PbVuDrFrjTDtupean10p1DL0UH6JSzDyBrahY48brkuFp51Yb8MVbs/aZOpcbVw52OGWkFREfprMjxoUX19Henh4KpnaOYNXm/v0+Ncksujtc+H7sPukUZDSCovRPy7h65imbg4Ksu1dWOIzwJHf+YrHTECK/PNY72ly8N4ssw/6oM8eV8HrRD1tne87V8RSJ+lNz3kMJxXMyI06FYeRnXFk93ShTNK7cCpxfXXjZlPARnwMzuwP2kGKLD1Qn+OIo4dRUUl8pfUSj02TkHYMQiGDMUYjpVHj2/QazfKpj0MmFXgiHWbHKz85tqeykzw2qhGcxKlBEEijDsRSWxD/1aTw/mFwzKUo/bvcTKde4f/cQUlX59uUj9Dck4zI9u34+e42cxzsO88aVA9y238Wa2RLlzQIxGEHpjyCLxhbwkkgku3clGXYGx5SZbCggG5JUXJgz2LUCQAiUIXtB03xwV5uLwWnsXFl1dShdB2dcP0BHR5QLLqqjLAPDwtXXNuEdj2OziEbPJh4/3lk7fXW2A330kktJHJ9HLHwW/Gt9gp64GBdingp1aB+G0oyiZCDXmAP0J+DJfo1lcxCvPxnaipXoqzJTTE+Gy/U8sZiz9zoZihJE03bbnrOqa6geGBjXuipSJX8c1W2Kv/Qi/cOSsnLdVvfJDrpQ+HrJinFSi4S00IQoCKuXy6UgBLyxO0KNS+L5zX0Zy0opuWXhkpz3tPxJrSvTkJx4cgW1dRCdPGzEzeQ2i+bMeXT9whhfbyk8e6pMGFhDQ4RCV2aNJrDDyIhkjY0slvRoEM288Df3t6IuTBpy8fg6hLCn2bdDyISPNMSz+kuOLDZ5dcTZc/WeZc/2m6hej+XLHBo6BhFxrnE1Bp8P9u11Xt7s6UaZIrp+yy43oVlIndYPPp8xX3YyPlBjoAr4fY/GJKk0ANzuJ3C7szPG2kHoLuQkx6Es8yJMK28DK7o0t9SHHcz6BtSOA5z/wVq8h6T2n46YoME9O1tX2s4esCRWVaqIc43Loms0lDoePxJdfzXlfOSqa+nujvOrB/rZsPYwAGJN56CE8smdncc8MmPeuMqBlojgpqa5DwdU2wbBpWFVT3hnFaUTcoTyCBFCiBHao4JvZNmZyBeevQ8gpyE4OhlWqQdRAOPqtRGFsmmEPJp19SgdhRk8v/C5XQxmUYd84Ned/PHR5ETrdj89ughytpiV7nKw4jBFuNf7s3sQ0cIwLgL897Jk0u+uUPow4Nl5L5HO87Csme+UTRe3t7r5+MLsi8FZgRAktmROTp9AHCFCSJk/g6Zp1qKq9oa+VV1DRV//uHHlV+H8UbYt9ymnIsoruOpj+eX4/DTSwYhMrijfNkKs0Pw5rnCOS/65nk2/6KDGZRG+8VMZy4Utiwd7cxvrlr8OJXSA4Gh8WtdB+P0jE9+72jmMWe88xHixT1KqSV4dLux0p1ZVYezdg8+Xv8d7xzZ46on049LnQgllmW9UFfcpSUFZIQyEcDY3WRIue8ubU8tHU+CeDt1RXlNiazpBkBLqcEyGkFgRyEhIkgmGCX/4fR5jv5SodfWT/2XIELPCOpqoPQERdcYaecuiGOs9CX43hQE8ScOemRAmE8p/eC/CnepAkF4dbZtz55h718/R+rbkXTeA1dCAcqCdxmIP4tHU99MTV2ZFQFg5OIIYjiFL0h0ntW7JwfHcNhdSFqEoo2GsiQRFn/sMlgWnlG0huiCZ+KgO7ca994GCt3Me70zMG1dZMGzATW97CpCZkB9Efxi1bSgtHt2yKjGMxVmvtawKFKWXSl3yts2iebpwtT6CdOfnnZ0Kq8xTkJ2rmCWmJQ4aufIajKOdaRFlw+a/DtDY6KFxQebE/No6N/tbIyhKD4nEyrzFPuON78bV/njKscgVVyNL0/O7pgshkgv3Yk2SmLzqkhKt93WMiiPw+X5WsPryQXtU0BIVHF8+9+ycQghEiZPFu0IweMO06jDN2oy7guaChXh1nZBpjrYHvrA7uYAY+dpXeeKpYVaszM84+qCnlqBMGismkjPcVTmucI6j1pfy9MsjaC2t+L71tYzlwpbJ6WW5xxCj4lCe2qyyYGHy+6oKwGTuBLO+BLMhP826m5ri/KC9cM6mMUQf+RWRSP66aK0tsNAmktBYXoVVmTkkVQiB6/BkdIJlVaJpOx3V90iPxknlJn4H4+YSr5VxRzulLSWlyCkxelKoSIc6iEp//o6iQAB68mBv93/4CrQVE2Fu7TFBo2eWdsKlie/NbzsqqilwoBPEstRnla/G1RgiD2/C2LsntTnFbtBVRH84w1WpcLf+HqPq8LzrBoi992zMpcso9eocf3l5yrkKXeYtnZILYiSGtrOXxOH1tmHINS45vnMFEIudhKYlw5eV7i6QkjtuayH+gStYunINAEb1Ueg9Lxe2ofN4x2LeuMqC77W5uGZBvOADQ1ZEE+hvHiR+VEPaoOHx/AVFyaXYruH1PkyRBpFC0RCbMRDqtMSDU+DRkgP+3wnqnt24/vjojO4hpeQ7t7Vy3Q3ZcywWNnlpbY3g99+dd14EQKzpfShTSAhKLi18wm2NW5KQcMU2z3jSsTqwFaNiDQiVSOQchCgMy2M+KNMkX11auPy4fBH+2U+Q0eyOAK/3QSxresLUUpYjpT2xg7lmLfH3ncu9yycYCMOWoD8Bxp5dnHxqBS5XfkP3fjPCD8Pt4/8fNUOmwMkQQlB++SrKu9qRWcgqnhjs46WR3Oxwier1/ORhH5VVSedSZSWMM+NbEm13X95JeDVuyXdWRsmy2Twt+E8qxxV7MO/rWlulrXElQnGUAza886OwRoaRxpjDQcXt/kvOuhIW3NuhO5YyOLnc5CkHlOzRhx5MI7Xw7PsNVnF2B+AYzAX5fzu6LvLKuQre9T0wJxw0Lw2pHF3AcPnJkO5ylJhzleORTjjOZXLT2+5x55YQw0iZ/7fpff/5qI3pumKJVdXo27tzslCK+BAIgXRNb1yQXt+4vt2DN3cRiyV/kJTwrRUzd6hOhfZ2TzIXPcPOZ5VLctWCiY89Hj+JRCKZI6h0HMCqr2f//ijxP/2EfUbyu5B6MSIRdMTYOY955MK8cZUBXTHBW0GVUyvm1nOuv95JYl09uNInN11/HcvKFZqnAYVN1tX6XseoPGzmNxICs7poRoOXJeH4sun9PnPNWuLvzt/LPBl794Q56eQKKiqze8HrG9y4XMnkANN0ttiYDOmtJlG5DoxJE5M5O31xgUdyRqXJ1/Ylf5Pe/TKxpqSQq65vcbSAKySGEvDLgzr1fyexbgB1YRPG1ISIFJhEIufjVDg4HYJw+HL7U/E47t8+yDcPtIwfWu6z2BlS2B8p5ZGHuvOubYXmZ6eRzM/psxKoDkNUnUJfXMrPftmfnYY9GqHJk/t5hQaGsCJDlJYmjSu3W5AYWyeZFsbKwLTaGLXgsd7CshJ5jygntjN/i21/KzQ3px+XxW6susxjvLF3D2rl5N0/ATmC/X7fq/GBasPxbv/xZQY7HUQ9KFUBrMlMI2Yc/cATjkhwxHAUNYsRmQ2e7GSTKfCeeTZCm3jnJ5SZnJmF0GOmsFwlSUPFAQYGoHlh0pj9wp6k0zGpf5f/txl99BEidvmOXh2jqTyn6KWr7THiC6Y/N8qyMhKHHwVAqNJkz67kWBOzkqREBYOUKJ3DJI5syEqGogr4c19qh0+yMEqUg51Eq+vRNMHzl3+Y+KT1iFmyGHV4D/OYx0wxb1xlwB96NW5sis1pvocIxkgc1YgstZ89kl4tp94+yburjII4YZTYEPGG02Z+I0DEjBmpG4dNOCcwzckxGKT4Y1dMu27DsAiHLa50kO+iaQo3feopQqF/nXZ9wowgrNHdG9MEdfaEnj5Ul2DIEDzSrRFbtBGj9lgA4vH1uFxzK67YEVO4onGWxIkcQmtqxmzJnDmv66/j9c4sPt/j+WOmExjrDueK2kas0Q94mc/i7a4wL0ZX0tCQx+pyFLpQMCXELYtBK1EQMosxdMUE1W647tAWYlWZjauWWIRmB8bVX56TnHZial//7l3J9uqvHoDY9L7/Ig1OKjd5ZqBw35F7mU50e/6e+S9+WVBWbn/OtTmzUT91AW1ZNVlJZyImnFFpcHGd8++pVIf/XBLLSZ+tVFWlaF3pPS9jVDsLuxbBOLnyhzPhrh85X7YM/efnUv7/5UGd0lnItxqDUbkOrddJviaccx689yzBudUGPlVy/0GTpHM0fyiBaswee6eL1ViKurc/q1PTLFpIbOFZ06obALcb7/e/B8DIQpOt25LRDgkJH6wpoDErQXp0Rwb8ZQ2pfT4WOw1V3YOsCrCteA3LFggW/b+vUKtPRNMEj7oVsyQ36c485pEL88aVDTpjgrMDBkeWzCFLmSVRBiIF4ZyWsgQhgmwoNUeF9GYGs2QxRk3+dNN2kF59WhSxYwiZYlKiap4oKkKEph/iFotahELOJgohRhgeXkEiMX36eqPqCNz7NiXv19+PVTGznLdcuHVpjG0jFq69myYd9SKljhDT8zLnixeHVH7aOYurH4dQm5uzal253c8Qjx83ozqSsgn2+RC+//4yn2/dRZ+RXCAcVmwSIMrf5BqOO2F6eXdNmodHRg6yzXDOMOcE3XHBKeUG29xL+fKjmZ0/g4ZBmZp78djTE2dj7d0px354F2BaiIQJnun3jwpd8u1WF/ECDe16HbjPzz/v7sc/xN7AFSKjzSEtK21RaRhLUNXMxlVbVOFvwypqnkPmwz0avTnG2ak7V/qBJ4g7oGAHEOH8adjH8MPvS4aGchtmUso0g+LaWdaqjKy+kkTtCY7K/uTH0N+XbN+/L4rz9ICLoVjDtOpVqwJYGYwrALO5PLNxlQihBtuQDnS6skF76w0A6pe7eO2t5Hzx10GVRwu0W6x0DKNt70aWO4sW+Mpe95TvXMHv/ylWWTmNxy3jX08O0ltcTI1roh8KM4pne+H1MOfxzsOcGlfxeJybbrqJCy64gMsvv5yWlpa5rN4xhgzBSI419EObujj95BfxaQ9z+skv8tCm6VNWi74w2u5ezAXZFk1xEglnoXkjIzcjZTExi4KI9+VSns8LCQu1Y/oL9d6EoGYmzEPT9NhHIibfv7ONY47N4G4mSaNbXv5vwAbKyz+KptVgzWCXDkXH3fJbsBKgqcQ2fnD693IAlwKfK36R7/kvIzZpUorHj8fleiHzQdY1YQAAIABJREFUhQWClHBbq4sb/w7snFPhPulU/B/OtMtpjSaep+c45FWH+2lUNUMIihAENH2cMbDRIynXIOIPjIfL5YNNkS6eiw1wwf6XeTBykE2RwlHsB1yScwMGq9aV8+ZeOZ5vMRX/r3l5zh2zaNTk1NMqCZSm5inecBOIrhHM6pkxlnpUWOq1OGqzH+0BOPllH5tmICgbCl1J8LZv5XWNlJIbbspZKO2Q1XUQtSZ1ZzAaPYdE4lDbW/QnYE9E4aRpkMKcGzDoTWR/V95z3o/nfeeltNkpIYII5U/DPoYLLgKXg0vlyDBK8UR/eapf5ZcHZ9txI/C+9R1HJU9/N1RUJp+xKuB/177JwcQg9xzQOfllX179UwlkN67QFFzPt6YLawGoHuIOGR5zQkqaF/tYekSSlOVATKHBPT1Phto2iPvxXQTvfAH3H99G33owr5DgmAU9kxwEUhYDJspwB/fd343a1QZNTZROcvhIT+W8mPA8CoI5Na7uu+8+fD4f9913H7fccgtf+tKX5rJ6R3hjRGFfRGGxL/Oi+KFNXVxz5VZ2bA9hmpId20Ncc+XW6RlYkQT6WwcxmrPTOQsRJxp1tm2v639D07bhVaA1MrNXrIQPYpYsmtE9JkOWumfEGPh4n0bXdHeuIGlc2U0wOXDPj9pZvCQzi5fb/QQlJV9C0/YCJqp6kDVrv8HQYIbQL4eI156I3vkcYngYq356Xs184H/tq1xYa9ATF+OGeSx2MrHYu2a97sf7VA4vNgnMAm1v3hCC4Hfsmb80bSuJxOoZV5GNjl0WFdEQT4wbVwAH2we58L35e/s3Rbq4cmgrO80wFtBuxbhyaGvBDKzNQypxCUooxHvPCvDYH9Lp3CKWycP9uXPFImGLroMxUN1JIp1RfOEWSfTtYayGmRFxbOrSuLfTxcF4Mkxye0jlyu3eaRlYQgST4aEXXIyMO3cI7Hwbvvpfmfu49Gi2oY9mxwG0xUuntGEIj+d3tve5vdVN6TQkKyApI/aVvdnJh8yDnUQ2jYbGGmGiq68AxdlzlD592jtXDz0Izz+Xu5w1RePqpSGVVf5ZzqHWPERWf9RR0c9+JvXduFzb2B0x+PQuD9tDal79U5SU4v3AP2UpIDAXlKLuG0g75X/lC0jdmSB5NsiycsTgACtLikiMOgc6YmJaubNq2yCuF9uSawUJSjCOMhTLyzFb65Zpa4V4fAMu7ytcdtUifN37OO3QI9McPkXPX4+IpT+necwjH8ypcbV7925OOinpIVm8eDF79vzjJQ5+o8XFuuLsA/B3bmuxPX7H7a35VWZauF5pT9KJurLnAShKf8aF2FQkEkdgmk30JwTPOGB9ygb9wF9Qh/NQbcwFTQVz+jE57dGZCRJGLr+CvOimgKGhBM881c8552XWfMqkdRMI/DqvuqYi3nwu7taHkR4v0l84bSI7KMF2LF8NRS6dzUMqX9k7tvhx4fPdB8zuwmTzkMrHZjlsxymEqlJ01bW25yyrnmj03BnXkTSu7A0cK1DDgqGhFONq364gR5/VnHc9t4VabI/fHspzvMqAck3iU0Hp7eED/1THgw+kj1NeReWauty5ik/8pY/1G8qwfLUo4c7x45WVgt3uANI/Mzr12/bbX397huPZIGUR0ejZhO+9G+Pt7Y6v298KCxZkdhAZiypASZ+aXUceTdG1109pQynx+FFpZdujgtao4Liy6X2zLgV0RRLMMlRqTc14z78AACU2iDq0y/H9rZqiaYfAV9fAQQdToVJTh/8jV43//2ZQ5dDi2Q/1L372GkQO1kBpszOpKJ38pN3+G8nVP4UQKSLCdjCbylHbh5JiYeMHY2gD20Cf+dySOO4ERCjEByprWL+sFCnltHeutB32fPuZjtuhxiU5GEvtY7HY8WihZ7j+mm3oa9byREV6tJBRvR69e27zjOfxfw+FpU7KgVWrVvHkk09y+umns2XLFrq6ujBNEzVDon55uQ9Ny2x0BAIzCxGZij93waFVcGhj9tCBXTvt8yR27Qzl1abEjm7E4Q1oi5zEOhvASsDew5Rabxvwaw7xfpI/jkAgMAP687+9Csd+Dkpz/y6nvz1a4qWk3I+YxuQ68DasbXBlnZeztqO5AWQEAs7jy2//1jY+87mV1NRk85rbL1TLKw6gqjPop4Ej4EA13pYdsGYN5Nnn8/pGWh+HQy7AEyjm6gDc+Do8EXVz4QKAK/D7g0D+v8VJG14fhK8dDV519qj68x0v9r7vYhY98ohNKNv9QAamv7zasBT4C36/Tbu+8DlOcrsJuXQCRcnz+1o7GS49hEMC+XmZdx60H692GvmNV3bojMCjLfDBFcDvf0vJ1R/hf753OIFA6mLt0a4u+hNx/nkSXfTUuhMJi9893MtVH1sG7/kmXt03Lv+wrnkQPSJn3N4MQzc7w+o07v1HoAztmKOQ7XupeJezXJve3hiHrlMIBCbmmcl1W5qKNCzUKe954Fe/wnv44XhWrJhyx+8CtzOZZe7ml+Erh0MgD7Xcqb//jAbYjs5ZGSKxrHic/RddRPODD8LwblhzBqjOjFRjOIaW4Xnneg8rVxm07DMIBLITu4R2vQlS4g8UY1ig6tBQ4+wdz6ifNR2Dx9wFgcy7/QMDkurqCIHA5GiIPp7qa7Qt76R/Ro85Ek+OMsaRC/B2h3EdNqqltec5WPaerPd2/Cwu/xcwTV5XYdtAlKq2Iv7jMJ1lJXre0fjBYfvoFmUk5rg9J6lJAqzA5P4ri3j9W4tYcYKforpKjluznEDZlPutPA12PgiB9DD8Qq855/F/F3NqXJ1//vns2bOHSy+9lCOOOII1a9ZkNKwABgYyi98FAsX09OTSfHIOS8KX3vTyw9WRnCKFy5b72LE9PSl88RKv4zYpncNYAX9yJ8fBNcXFPyMY/IStxyv9WfgoKWnHFRxh76CHnp7ph+GV9u5lKFaes415vY9DaxnpD04r/yka8zLQl1k3Klc7FHcJMgYyj75z7HHFHLbOk/W+5eVNoyGBqWhrq8Xvn1k/FUuuxP/VLxAJNGAWOb9Xvt9IccvzjBx/0fi7/lQdfHirl2ojxiHFfRQV3cHIyOfzarvTNrQOqlTFTNyztJc+nfHCLKuka+vuKXkuFrARyP+dprfBhaJciGWl30t/eQtWPM6rhx5CRTmEggbmtm62BFWW5/k7lms+ttuQWCzX/DMeQ5/oVVmuK/Tu66dIdzPSM0IoFON/bmvn4g9NiKG+2tXHCu9EfXbv49mn+zny6CJ6ekbQO58BoZKoPR6AuAdeanfn/dunYrnPx/ZQ+pyz3GfS0+NMbHUMfv+bRKPvIdq4hPAvfop55kZH123banHscWJ8XE57FnEjSWox5beaa44gUV7LyJTjRUUlhMOtWFbSYSQlrPNo1CcMx4K7du/jSJfCz1t0jtYy74hEg2F6ekYofeGbDBWfCMIBWZFpoUQSWDbv0sl3qrske/dIenqyMyDK5pVgWYR7RggacGlApacn907eTNcWuncV2u7nifiOzlhm21uSyiqZUo/fX8Vir8BmaeGofwbv/y3+j9alUM+nwa+B1w+dQ6ApFL3xa8KHfsL2XUB+z0LdvgORiFO25hBEyOCxP3YQe6+H2oV5Mr9GEng0BZFI3/Gyit2O21NtJsMSe3om1kyir4/u9S4OPWyY3cMRfrRrL83Ny1MvFIsoaf8bw1PqKfSacx7/N5DJ4J7TsMA333yTI488kp/+9KecfvrpLFgws4TwQsKQ8MmmOE4cfdfd0Gx7XAjBr37RYWsApcC0kuEtGQTw7O8dRkqnHmsXkEBXQJ/JG04EsTyBaZNAZILSG0LpmR5j2b1r8xfknQwxPIz+8ouOy9/9wzZWrPLnTMQPhz9ke/yxR9+TV/vsIGKDKEPtWNXTZx7MCTPOyEnfB22CiUlX4PYVUYYSAinLESIEFF7Y9+edOjUua9YMq+lCbWrGmEK64/P9GFUtTDgdKHg8j9meSWw4FuXEk1ntS37zL744ROnIELvC+T+kG/zNtsev92cXwnaCLUGVw4pMlK6DWKNGaF2dm3POqyY+iaqrNRahKYdA0R9+38NZZydDbxN1J5GoGWVjlJLT9f2sXjvzceiGhfZhp1c35h+OqqptmGYj2uIlGHt3O77u5FMEDfYbFKMQqG3pWkmDn7jOdhwyzaaUPnl3h86FBaC/XuGz+Oyi3N+7EtyP6W90PE+IYByla/qL1OpquODi3HWF7v0Rxv7kc3krqLKmaG7Yf43Kw9D6stOx1zfCRZdM/g2ScPhfM/bP6zMcT6l35440Uec0CIEYiiaZiYFE3YlYBcqpNhcshESCASPBCxVDbN8W5MMNeRhWUqLu7kumSqyw3y7Nh9DCkNA5JSxQ6TrIbx47ijUro4zs20ONyyZSQtEJr/uM83bPYx42mNPlTFNTE7/85S+58MILuf3227n55pvnsvqMkBK+2+biGIfx6WefE2DlKj+rVhehaYJVq4v47l1reOyJowmOmHR3x+nqyjApRRK4XmhFFrvzMFqmn2P0ozUzUEfXfIycdNf0r88Aq9KHLMo/xyFqwv+2zyznAsNAe3Gzo6L9fXE+9C8NjtjZYrF3EQxejWEsBlQMYzHDw5/nzPddMrP2AlbJYhS1G+mfedJxJmgDb6F3PJ12vNIlOaLE5I79OonEUbhcrxS03mEDHuzSWOT9ByCxmAI7rStd34ZpFo7gJRy+1Pa4um8PZbd9g5/3JPOOnnmylzNL3qZ7GmQuG7013FW6htVaERqC1VoRd5WuYaN35sb69qDCmiIL0duHVT9hMWx6oItHfzdBYNEei9Loym5c6S4xThqjDO/B/9Jnk3/3hxFVXiL5bSzZYmONwV2rIqz2m2gCVvtNPr4wxvND2jQ0AU1AR+g6JZ+/1fFViQToepb3qCmoeRgfk40rw4IPVCcK4g8TAu7p0LPmXQG4Op4m0eCMgh1GadhnkDunaYIdDlLcjB07UEbzVBs8Fn51bsYY6SoluvIjWcu88frU1N8obvez4/1z1aT+edeqCBsdGMtKoDo7Y+BY+yp8SEWgdmzFqDgkZ3mnEKaB9wd3UqnrhEoN2jvj3OE0l1HKpBaXgPgJzZgrq4lvWIBV6gFFYJV6iG9YkINRORXFWpL5eTLM1WvYcO3pNDfeg7HjLWp0+/aJ2CDqgPM8ynnMYyrmNCywoqKCe+65Zy6rdIT+hODjDjxDY3jxr4Oc+/4aPn5jc9pW8UeuXIBhWDxw30FOO72KomIVr3c0DGWMwGJdfV67QUIMYFmZKcDtEIlcBFj8T6uHqxbEcU3DjHbv+y1GxVrMsuW5C+cJ/dUO4ic053WNIuCj0/AwT4ZVV4/accBR2c9/dic3fWYxixdnZgkcg9v9BPH4sUQiFxAIFDMwkOwTP7t3P5f9WyP6jLYQgYCJ1v8GRqUzOv68Ia2MCySvCtcsSPDHzlN534IfEI8fX7Bqv9fm4poFcZQ5FOt2Ctcxx2ENTLBGqWoLptlEIX1Sfv+dRCIXjId0jcEqLUdr2cfrwSQ71q6dEf7jZ//Nie7p7Rxu9Naw0VtT8NCWO1dHcSlgbDgGY8Mx48fff34N1161lfd/ILmbdVZ5AN2GpGEMfb1xPn3z4vH/LW8tSqgDAKV9mHhjKRXOc9mzYmONwcYaY/RZJC22O/brfL9d58oFTj3tknh8Iscq/sJzqFVVKA606JqacxRQ0rWurGAQ4bMnHUgkDkWIxUiZDOO9a/XMdvcn44qGBMNZfI6+Sy5F7XsmL0+/CCWQ/plRop/+7txlrN4elMoqAH59UOeTzXNHlqNEuhCxAaTbft4+ej2ISZ+DEBHi8SOBif75g95iPlIZdrxUUKqqMHu6cfRkNQVllxvjsOlp5tlBlpQihofwKipxKaleUkROx7AlwbBQ9w9gLq1KOWUuKMNcUDajMevnnTpnByYMU/n4Xyju9BJtrUY5Lkyt3c4VkKg9DtT8xdrnMY8x/IMF4sw9QiZcsS2/j2jDsWV85KOZQxo1TeGiS+pp2Rfm0ku28NQTfSAl+usdGEsrk7tWeUDKcoLBG/O6BiwUpZtL6+PT1royKg+dFcMqOVukCzzmwnMDKj/rmNmkLCsrEQP9Ocu99uowpaW6I8NKiEHi8XW2ukdnn1tNKDRzlr3gv3wLV8tDM76PHURsEN8bt2UvI+DJvnrua7myYPV2xQRvBVVOrZhleuRpQqkKYOx6e/x/t/tZYrETC1qHlEUoSjr1mayoGO+n0ajJEUsTxP70B77d6prGDsvsYMSAHx9Ifo+uP/we9c03xs8VF2vU1LrZvSuEJSWN7uxjbEtLhK7uSYtf3Y8wwyAlymAErcrLC8/Pys8Aks6DpT7L8bMVYiBFX8r3oUsdGVa9PZJtbzls1KTGmPtb0TJYZVL6cbv/wp/6VA4tNvFlJ57NCz0JwX/szvzulLJSRlZ+CumtylhmKmYiIDyGe++WGEb2lyUTcYTbTUdU0B6dW+9NvP4UpJ6Z/OD2b0vkpChFl+sldH1bSplPr8gvIl9bvISUm2aBLHGhDWyHWAEZaCc1VgAn/ttiaqzMzgqlYxjXc/tAEWmGVcGaNOV/Y93hNJyylpHNPo46McHRxZlEzxWKNn9qVto0j3cG3vHG1ffbXVzekMhLwf6O21vx+XPPYEdvKOOenx7KM0/189kbtjKk6Fh1+eu0JHWrduZ1jWEsxrLKua8rSaudN6wE/pf+Pf/rHEJ6dYjmlxfQHlOmpZmRAiEwc7iOpZTc/q19XH9T9nJj8PvvRlXtwzGeeqKfF56boWaGaaI/8AJ6d2FD8sbgan+M2IL35ix3y6IY++K72BsrDDW/JuDWJdFCp/QVDpqGfsjETmE8fnhGwdbpwjRr7OnYFWV8cd3XG+eqT63B877zuLQ+QQFs9YLh8tGcisT6YzBXr0k596F/qecXP+3AlBJvll0rKSVdB2MZHRljO/3PPDV7VqUQcFqlybdaXTjX/Z4omHj9VUJ3/yDnFXv2QJcDeTGrwpuM8RuFWleH70P2IaQAwfAH+X67a1q5Y9lQN6oVlMno1Co9eNt+m9c9jbW1yJKZsYL29EBvb/Yy7uOTsi8vD6usL53bj0aJ9ODZ9bOM57dvA89EeuuoKHl9Spk/dcH9B50HF7nfdQauDcc5Kqv1vooo246+PXcYYV5QVTBNvtS8jNfeDOIeTE9LEOE4+ub9KP1h4sc3T5uS3wk0RTIp9ZOXPvZdzL5BEq3QXxIi486a5kEd3pO3A3ge8xjDO9q46k/A5kGVs6ucL/IHBhJcdU1uvZYx+Is0vnDTAq6+KMBrIRd794SxnM/eACQSazGMNbkLToKi9OJ2v0C9W9IRy/81a31vFDQeeyqsUk/eYsIdMTFttffJCP97dsa73bvCrD2kmJqa3AsAVd2PECEMY6Xt+aZmL/tbZ5D3BhCLEfvgxSRqj0VEcyQsTwOu/X8gvvDMnOU0BS6qWs8tOxfRNxMhZ2AwAZu6taxi3X9vCCGIPHg/AIrShaL0AgXcFgAsq9Z25wogfsZ7WVdUwo69IbrvvJv45hd4rE/jyRlq1xUK32tz8UYwObYUffaTiHAqSc1h60q44ZOL2BsNj4uK2uHNN0Z49W/p4qDRpR9CbR1EjmoAzsU656bmOI/1aYRzrMV1fTuWNeH1Vhc2E3/91Zz339/iICwQMJZVpewExF99xVb7agzdyo94f80ARbPQNVb4LHZmIlLp2EVQHp7X/bQd3TMmSaqpga4cWlfuU5JU6C8Nzb1xZfnr0DueynheSlLISVS1E9OsSymztpS8HKNmZwexJ//iqKy75WHiy07HrC2eke7kVIx89/ugKDzS1826w4qoMibtXFkSLIm2sxdjVTXG2tq8SL2mg2qXTMlT/eOecooXVlF0/U2UKP+b1eljFjWjBPfPavvm8X8X72jj6v6DOtc3xfMa5++4vTWjzpUtIgmkT2fB+gDHn1DOju1BYlGLt3cEHd+ipOSr5M/S5kLTttHgtqYVEqF3b8aoPiZ3wWnCbCzFKvPmLjgJ7VFlRgLCY3Df96tkVrkNLEui64JPfmax7fmp8PnuJRy+LOP5piYP+1tnlgOhbX0Tz69/QfiwTyOMwuVTAGDGEGYc6XGm+1Whw2+O+/T/x957x8dRnfv/7ylbtWqWVtUqlgvuxpgagzG9hOaEhBYglARIQrmQELghcHMJkMAvCS25JNwbEnpJQi+JQzPY4JhmjAuukiVLVm/bd2bO74+VtVptm12tZMjX79dLL3tnz8yc3Zk9c57nPM/nwa5oJFDKNY1Pl7gkEyWpvUR4w3oMnw/DKCMUOiTnx9e0WnS9PvF7c+fx3dJKBno1Jg00olRVM92ps8X7xRi213tkZudFbgLJ40G44sOgPvygn+ff66AjnHxF5dWXOznpq/EqYMJeilEhgT1iMVitEAiMv4WVpwh+uNme0piz2ZYjRNT5IpeZExNobBTUmhBplPsCSN7od2Y95DCUyqqEbUMG1NqcnD85h8XeR7CkWGNFb+JJfsGu36Nt2pDwvWRoM8wrviWjvFyiI8UKoDAMtB2R72OSRTB1ggVzhLUQORTvMADQdRFnJ0vSIELERrXUOiPPPLMolVWR0MC0nROoXR+jlSxEnzIJZWdfzjwX1jdfR9m6hR9U1dGQB0890Bh5Q9OROzxIAwHC+1chCicmn+kX04NMHhHt0ux3UVXjwHPvr7lp5wpstjeT7hsuPwRLhznxq33sYzRfjKf0XqA7JHFeZTijCvZCCNavG2TuPJOqbbqBdU0LUlAb9tCcfEoZobDBfXc38fOfbcVnKsYnCGQ2GO0JN8p65apjDeGygzPezzRWBXVnZuFyXy8PM8ky9odA6Njj47zse/B6dbZuMWc8S1I/ul6ZMNdqD5VVdtraxiZfLnd0DMmwCyy73x3TseIPbmHg6Icz2kXRZ7MjtIlNWU7y1w7K/KrJ+sUNBxyBUlePvrOJ/PzbgNwXOBaiCCESh8NJgQAvfbybFat60FtbUSqrmJFqFWECEQKChsQerZ4hV3xcu6OOLqHLEqIuRc7Vxx8OsPCA+HBpQ7hRNg0MH3fGfjCYeL6aU5YU68x36fy2OXl+pyQFAceI1xLIMkJPPZ7LMqaMK6PQHpMwMvjL2yPWZQK2+GTWD0zBpuaqREAsRxTrnJQoukMLIFkt6D0ZiA1oBtY1zWPu034zk34dAIj+PuSSEgJ65LmxN8Yaw1aMFIzP7/X7YelRsR3yeK5LeIwii6DXrA9Kkhi4/Wfp22k+AtPPG/5d6RW5K4wbPP1r6FOn8T9tzXwa1pA1A8snragbOzEq8hEZOlTHyopehTX9kfEyGDSwypHfp+P0r7HDNwlNm0qy0MBw5ZJIKZp97CML9v5Tei/RHJBozsArBLDhMw+z57jS1jwCIgIWH+1Cm1GKcMVOygoLLdz/wBwOW1zEhd9ay+vLUwWPG2R3mWxACLdVcH5l5nH43gN/hrDlTkkoDllGm2putWQPPWEpJw9J22svo34cH8ITChk89Xgbxx5vJrlWoCi78PlSS+4qisTNP5uWZU8jyB3tGGVlIKvoBVOHVdRygX3T/yGF4mvqpCIYPIJDSt/CoQj+2p55HNKvGq0Tqtw1FtS6ekT7uqFXEzxcShLdK/o4eEnRcHJ+kSVeXnhvsDskUbUnRDeN13vlo71oOxMvc3a0BzngwALkBHKRSqsHyRkdG6+7XqJ4UvZ9zoTLJof53KskWbHRSXQvOM/+FiKNXvwl35UoKkp//aSwjrotOjHXtm1J+NwZ0KA7LDHLUYM6TsaVQ4G/tFvihJEsHe8TnnQQRpd5GUfJF8IYo5gFwIKFsN+s5O9r27YSWvUuXj3z53yuCE5ZhhSMH1s1DU46JaYlNts/Ex7j21VhQobJ+mEj8jRTYen6kGDdqdENdhXrezvJINkw+bFXvoPjgd+iAu72Pm44XMZTnIc2ryLtvuPBkmJ9uL5ZZ3uQJcumYXS003vvr3DKCnb7a6jqloT7GnnVpgVC9rGP0WQ86ng8HrZsSXwzfln43CvTq0nMyrCo4CtJwlcSoWztRhTYMVJ4hY45tpSHH1uAYUDzTj+7d8evcMhyJ4aRnZKOps1AliIFFDNB8rVj3WUudnssWNa2gWH+GizMz03cvF5Vjby7LW77Y4+0UlBo1lgwkCRzIXovv9iBnq1kI3uMq0hNIjnYjW3H37I+Vgx6kFD10aZDAod306eiqtuY4jB4sVPlowHzw8jbPQrTnQaVOQjvnAgsc+bimLwl5yqBI1GUVhJ5T5WN61n5xm56ZobJu/g7w9t/2pD7Qs6ZkqcIvr+nfIUQ+K5K7HkHaDjdyQuPJw6ZUxSJH92QOARX7jVQtKgT5K03YfPnCZvmHEmCO2cEmOvS6R+1ciDL3UMe71isiw5Eb4sfV0byt7+YO79wWJD8kRMLw0iab3X/TiuaAbpejabVmzt4FlxVG4qbLFhb3yI05QRQzT9fJN/YZdgBfD747NPk7+udncjuMtZ7Zea59o4CTKjqKCQ9Pt+2v290vpgNv/+chMeY59LZkEmEgAnjSlgLY2XGJQm9zIXSNEbhJcCorERq76BcVxnsEbzkyeOzHGtmZMIGj8w9TRFj3jHYzblHhNB27MBXXUOF1UYweARW6ztJ9xfWZGqC+9hHakz9ap955hluuOEGenp6OPnkk7nqqqt44IEHxrtv48adjVYaHJl7JC68qJpFB5n4sQmBcFnRZqQ3ihxOheNOKCUUMtDCBu+u6ImZiAthJxA4JcURkhMInAaEOdmdmSqfcLgJ7HdRVufM6DyqjDRobgWjJwxv5SiR36iojKt15fVovPZKJ1//hhkPm0Fe3h8JhxeZOt8VP6hDyUSOchSBb5yNNn0/AEKVS1MmSmeCtfUtbE2vZLGnhMfzHyiS4J79Aty63UZ70Nzne7lL5coMaspBE2UOAAAgAElEQVTtbSwHHIhzdg+h0PiFyFos65CkvrjturucYimI1/AgwtHf8HqPTOsES0uP5vVulfyhObXc0Y7sSR6v99DJ89i62YffHz/JffWVzoSOB8kbwnDYkH3RVdqDDoaS8VFsTohDASEklvfEjjuGUYLPl2B8VFQkNfkYFQgIDjMn5hapdTW0kmC0taJUxOdbtQcl1g+XMrBiGIlzsnLBeo/MXY2xK07eBT9CTD2S/GszqXE1dhl2gOJiCUeKCDOjswO51M3/tliw7bX4HIGcICywpwcqR2hXWK2rsNn+nvAIdhkmZ+KIkqSIMZ4EeWA7St/nIMcaxHpDcST3aiziFoZAL6lAopCQmseTpcVcekUd+ycI+Z0oKmyC3aHIDfBJk0J3zRz0ph1Y6uo5vrgETZuFxZKiWLDQUTvHR6V3H//emBp2nnjiCa699lpeeukljjnmGF588UX+8Y9/jHffxoXV/QoVVkFdhgmuHe1B/vFaV8LwlRiEQN3YEZFczyCGbeq0PCbXOGhuDnD+2Z/w6drIZEVVmzCM7GKiVfVzJMnPE20W83HbgOv9HyF7W7I6ZyaIIjtyv7nVn51+mc4xKtTtwaisQh7lYf7DA81c8p3Jpowgm+3NGKWwdDz9ZBvvrcreK2j7+6sMzyRUO8JaiOQzoeecBmvTiwTrsjPchbBjt79GoQXumB7k5m3p85G2+yRumxakaOyO64nDMOh/y83I/Jpco+sVKEq89JmvsIz7j9tEhzCwzIzGQJ1Wpu31lb/jSjRKhvIfjeJJhBcemLCdJgx+17qTr55WxpuvxypdtrcHOWBRIWoCKWahymj7laGMMK42bYBnnszhhzBBiVVwulvjtu3R+mJW679QlG1xbeWyspRqbTu2w3N/y/C6CYEIBrEduTTurV81Wbm2PjjiMTN+KzSz8gw+GhwxIdcCODY+CJKM5/e/M30co8QZkZnPAX94IPl3aXR1IpW6CYkReYETjcWF7InPL3vub4LBEXpWirIraXSKKsOr3app8aDCn/8y5fu2xhcwEkUqyDJ6wySUbelrQCZC7vZifWcHchCULe9jUfKY4ojkMD/+SO7C2DOlxCLoCUd+II7Nn1E50ITW1EigtpYGuxOQ0fUaFCWJKqCkYG1+beI6vI9/G0z7dMrKynj77bdZunQpqqoSDO790JRMEQLubrJyTV3mnnNnnsK3LqxO3UgzkNsG0WaXZ9lDOOe8Ku757Rz++GALt9y0GY+nGsPILvdJ0xqQJC9ePUPVoYFtGHmTszpnJhiFDqQEdTASsSuYG6VAiBhXviuvidk2b34+x51gxi0exm5/Cb//DNPnKyqysGN79ip//vO/HWOoB6csw9KVXvY5JYaG4mnGKJiS3e5GKYHA8QDMzDO4b2aA9Z7U99gWn0yaup9fOKzOtRh5s8f1HBHxmXjj6r1dBTRtN7Bs2oi2IzqZ3+CR+fMYi2mPBSHgZ9ttw+VpLCvfQf08sffXpxuc5a7krHMqOfrY2End839rp60t8e9fbezFKC1HqNGJeGkZdHZO/A1kkaHcKrhnZ2TFRder0fX4sEBJkggsTz4Ra2qE2jrzDqLQgZHnjWS3YzvyqJj3DAFTHQaLCkbOugWynDosMVtUGZyyYGBoAVXSA/jnXgmA/cSTTR9HHgyCbfxLCbiuvo7t+x3Efs69mzNjbVkeVz6jrTV25SpS46qSZPh0+CzN2LqH0Idr0FuSC4ZY21YQrkgc4qxPLkSfUpxZ7lVIx/LRLpTGXkKH1mKUuQiccz5hw8ZUB5S6rXzj7L2TbwXRBeBAQOehv0SEV5zfPAd55iyUoWeqx3NZUlEqrWQBaneK+NN97CMJpn6x06ZN47LLLqOlpYXDDjuMa665hnnzxq8G0ngRNODi6ojIQ6ZcdslnaFqKgXpIwCIXdRvcZVbuvn82Xz2ljHzX87y7IgPp9xGo6k6s1veptgt2mQzbkkL9CEtmq27ZIvKtpiVZdwUlquw5elAqCvYRLvCHH2rh4EOLTAmV2O0vDRkV5kNb6uodNDVmb1y5br055nWo7pQxKzla2t8nXLF4DEeQyMv7PYoSSaK3yhGRmGSpZc91qMzIM/aeFzlLNG0WA795OGWozVjR9WokKV5xrWBWLVN/eyNX9nkR3ugYUGkTrB3ce1pEbcHY66xu3JA0d/LdgV7+0duFokg8+VgbXk80vPGdFb0cfkRihQptaglIEp6Dbx/eVloKGWgn5JRLqsM0+iWWdyvk5f2OGCm/EUiufAxPYvW8nU1QZ0IpcA9KhxfJG0Jva0UMxh7zmXaV706ODUeQ5U4slsxk0TNhcbHOyr6IYZS35ubh6IaB//qJ6WMYxY6cPVsUBbQk3hrPb+9l4wAcMsH1rUajlS5E7f4kZlsgAA5H9DuQ5Q4MI7lD9uACnX+ZrHflWHYmahI5Stm7C8NRBkqSZ5ckIQ0GkTtMlIkRAskXQu7xodcUEV40edhoFnlOlhV6mF8QuWe/e/FniL1YjPeS6hCbNnqZ4+jEqKzE/8JzrNM1rNKeMdSG05lEMVexRkQtjMxSK/axD1NP6Ntvv51LL72Up556CqvVymmnncZtt9023n3LKULA/+6ycFxJ5oPtrpYAFRW2hOEre1A3dyGK7BjlJmXaTXDwoUVYbZspKbXx3qpeWpozm6DvkWOvthnsMinHrnZ+QNh9UDbdzRxZRjjMeeBtMtTnyrgCfP/xIyCSa/XNcyopKDDnTdW0/QgGj8/oXLVjqXUlBHICT6Rt+1/HVJskXPEVfEOe52wJhb6CzRZNBj6xVOe+nVb+1R97r3l1eLjVQs2XRMRiD5Lkw+n8M/KkKox0FUvHgKbNIxA4NWbbwIDG7+5rwnnXHXy6ZRNKdXTVvNwqaA/tPePqk0GF+SPEgOTdbRgViT3vjQE/dfbI6tMFF1Wzbl1kwtXWFqCoSMWWICFG2d6D3B0xJh0bfj+8PT8fBjNQ/c4lkhSpmfPQLjWpAwHAMms22sbEBk6TyRpXe9BrixAuG0Z3F/KIGldCwKGFepyNouv1w86O8eCrpRp1Q2Ow4mnCyI98GMnhxPCZcwAqO+NzC7Ol1A2dSYxt13ev4IxqKeN841yjlS7E0vVxyjbB4FJSFSdfVKDzwYA54yq4/O/4X3kp4Xuyv4PA9G+l3F9MciLsKviT5xFInhAYArnLi1GRj+HOi3nfqJrMo51OdgYi90plpY221r0X6eTVJT7+ZJADlEaMikpc372Cl3s6sQz/gCT8/q8jSYmNynD1Mci+8Rv/9/HviakntM/nY/PmzTz22GPcf//9bNiwgf/5n/8Z777lFL8BF2dZtPTVV1KrBO4pjqdNz3W2tY4sK8ya7cLttvKfP97MA7/dSdhkALaulyPLu5nqNChSzU1sDWc1wfpT0zfMFZJkykg4qVSjwZm7ybnrR9dAMMhNN25mV4u50ESb7Z9DuVaZLb+4XCpHHJmdhrTU24MoKo7bHmz4Omr32qyOCeD85E5Qx5b7EA7Px2KJ7cPF1SF+scPG7hErpX9osXJxdZgUvokvJFbr++h6LUpdPVpT4zieScfheDxmy/urejlscTH+i77DoR4vSnU0THfPnGBvOYM/9cjsP0K5U+7YjVGROPSnKeinzha5z2RZ4r7fNOH36ax8pzvpmKq0DWCURPYJ1Z0CemRiJkkSN96094Q87Ao8On8n/eFyBpPM2S37H4CeZMZ/1bUS1RlEW8udXpQtXXj//MeIzPYQV2y0U5Yg+kLTapPnjuSACpvgwwEFeWAHekFU4VEuLcXoTlVOZAjdQDYZBm6Gm26RKCtL/F7PpRcMq8TtTbSS+cjeWPGk//3TyHvYwDDix/eRFFpgmtnwRpsNvSXxPSCFvYQrD09/DENg2ZhA4k83UDe0Y/m0DTQDvTZxv+WOds7s38Df+yKfe9ZsFxs3mFgNGyfm5etsWDfIvIWFGLrOwK03M6hruJToc9xi+Qy7PbG4k3/WpQj5y5QovI8vAqamO1dffTWrV6/GyDA0Zu3atZx//vkANDU1cc4553Duuedyyy23ZHyssRDQ4fx1DuxZTu5WvNXD4UtiBxKluQ/b8i14HliF5eNWDLcr56F0srwbXY9MWqZNz+PPj81nUomF889ey6aNHp5/tp1jj1yNU32BY49czfPPjhY5cCBJAertwrSMudr9MUZ+fU4/R0okkAbSe7Ve7cpxnL6qsundJiQpIiaSDknyEAp9JWtFroap2Rky0QLCozsk4/z0V1kdUwp0j3nVKoKCrpfF5HkUqBEJ67M/dbBkjRP1L3DvTiuhL2G5EKt1JcHgYtS6evTGHeN4JoVg8OiYLSve7mXJkcXkX3U5K4SOb1KscX6aO0xoLxlXtXYjpoyFPmUqwpVYdKc1FKTaFhU7mVxrZ8lh73PBuR/y67t2xI9ZIS2SKDEk723//E8oA9Hv/u03c/hBssBmaWIgWEfQkBIat7ajjsG25MiE+z7+CBmphgqHiuwNxVjRb/coVNuShdc6GI9C1yM5rkTD2vomoaqlw9uUUrepWleSL4xw5m6S+vGH8EmSRSGvaufsiuycqblEWPLxHHrn8OvODsHTT4xsYSBEesGqb1eFh/PdUqG4yzCSLeclKZYb12qSE6nfj+21z/E8sArb8i2o63djfbcRkW8jdFhtyrw5uaeb77WWDwfOzpqzd42rDR6FC346k0k/+Bb6ziawRn4jI9MAQqEDsFgS5zHbtjxG8YtHw50qxc8ehm27yXoK+/h/GlMz1q6uLh566KGMDvzggw/ywgsv4BhSObvjjju45pprOOSQQ7j55pt5/fXXOe644zLvcRb8qdXCOZVh0gn9JeO/bp2O3R59minNfVhXR0O15MEg1g9aCCkSek3uCu9Kkp9weP6I1xLfPLuSY48r4eUXO7jx+s3D723a6OX7l60H4PRl0cn44OBNSBJ8PKjQ4Ew/OofLD8tZ/00RNpD7/Ohpcq9m5eU2dl6vqubX97Zx8/3mcpeczj8RCi2JuR6ZIAQYhkivNjkaVSV8aLx+s7AVgxFGCg8iLJmpSTrX3UNwyjK00oWZ9SUBPt95CBFrnK4bVNjgjf5evLrE5RsdSPhZVv5liV0PIUk+hCjGfvxJ454z4HLdw8DAHezJ5dmxzUfDVCfCmceGs85mrq6Rb4l64r9SpNMVkqi2T6yFJQQ0OESMvHXgvAuStv9JTQPqUG7D88+289jDI9T/EoxZStsgelVUutnIq0T2taIXzwTggm/n6pNkh6bNpIQZrPLJPNSn8KPRxbCFwPfon3Fd/oO4fa9JXgosIcJhgQEfkisSam4IuL/ZyoOzk4cYDw5eT2QSPT4rfI1+mdXOr3F6ZXTq4Dz3fKT89GOQ5Ath5OVuNenIo6SEv0sRDLKy7mDCPSoXVO19A8ux/gH8s78Lio3CIjj7vOh7itJsql5iS1DCbYGCNBEostuN0Rm/6mTd+Sp6obli9kpzH0p3tE9yfwC5P0BoUbWp+Y1ePRlag1hlmYChM3euC1XdeyvOPSHBSw808cepK/BPKkGtq6dIHW3kWxEiH1nuxjCiwju27X+hYOVVw6/V3vUUvHUxA0Cw4cyJ+QD7+FJiai1n1qxZbNq0KaMD19bWct999w2/Xr9+PQcfHJnILlmyhFWrVmV0vGwZ0GB5t8rXyrKb1L2+vAuPJ3ZfdVNiz1Cy7dliGJMIheKNnUklVv780K4Ee8D998TG3NvtLwIhik2EBSq9G7B0rM6qr9liFNmR+1OHimhGpFhmLtkgaqjN8zK5Jv2KkizvRlE6szasIJLv39KceUiMyMsjfFBiAzA0+XiszcszPKBA7foErWT/jPuSCMOoGrrHotyd5Frdk+NrOJ5Ikh+//5sACCHw/fHBcT2fEAVIUrRW1P/+aR6SJGGUlXHwK6/QGY6dxGuClLk/44VBvP/bsjJxEU5dCP7ZF1VKu+/uxoTtRo5ZhsuGXhk1rnRnNbI3apA98LuI939vYbP9E1A5tFBnd1Dita7YJSRJlrF+5fC4SX/rLsHP/yvDfisywutHrYsoer7cqbKkWE9ZysBufznmPso1Ux06y1t6wRLNLda7Ogmv/STFXkMITAsYmeGzdYJf3Rn/nRpdnXxct4iD97KYxR4CM85DDkZKcbzwHLw8YrhU1U1IUn/aY8xzGWwyUUxYLinFsv8Bcdvtmx/GcJhTMU46v9nanXD7aPora8n39OK2WOkJh8lzqWzd4jW173hQYujM/1ol2rz5aE07UOrquH/qrLh2weDhWK3vxmxzrk0cHeJc++tx6es+/n0wtXK1ZcsWli1bRklJCTabDSEEkiTx+uvJa3qccMIJtLREayXt2QcgLy+PQROZycXFTtQU1d/d7vTesj99DjfOhfKy7GpFfe3MPCwWKWYJ2TOQeJIsDwZN9ck8nwHTgfhjbtmcOIF4y2bvqD58B5dL8NjnMmfuBymjUnaugdJ6yPIzZPPZhRAE1u2mKMW+O30wpQjcbnMhJen6IYSAEw/i18f3o5jq86+B72X0+Ua37e/rwdA1Fh2Y4Xe0yw8WS+Jr4jwbVt0K7gtN94OOT6F6Ie6yXBZ2vASXS2WPtzzJrclmn5Lj30dmZHbulcBxRPLr8hH/9RNTapLZ96EOu30QmMyKtyP5K0uOLMKorqCwoACfI/a7c2jwahssSp4KmkUf0vOvHqh1g3uPA9vvh4P2Tzpm3FgyC/tQbkO6MUuEdbQeP5bqEd7x0DRoen34+BZLgHDYgtudG9nJzL+Lb5GfLwMSD5bA6SutHFQNM0f8nFqeeYyi6XVYa2uHt21Yr1E3RcftThy2l6wf4cOmU3TuLxCKyjeKIrLwdiVV6N9p5OeHSPTMSIeZ78ItBH3b5lJSKg9HghhLDkWSJCRL6vFZuOxgU5HSrN6bvSYzZxk8/UQAt9sZs11TymmZVcHiuryso1VyOk41fwK7VsBXfkJ/X4Ajj1Jxu/dMvbqAo0l2vfb0Qwh45HM4L94miMO3dDHOkf0P9IHdiq06TSmZIcY6v+lUndS/+SZ3HnTM8Jh52hk1cdcpE8ZyPbY+vINNA16KLW8hz5mDZ/58nvP38N26+lEtjwdC5OePECXrS7yooPZv2qvPsn188TFlXN1///1jPpE8IiHX6/VSUJB+ctfbm1yByO3Op7MztYHm0eCswkiV86RhyCno6wvzn9d/zu/+MDdmuy3fhpwgT8jIt6XtUyZYLEHCYRsQf8zpM5xs2hjvDSp1W2P6YLc/j2FUUMQSPmsJUZUijCh/+9t4Dj0FkcVnMHM9kmFRJDwdA0lz1tb2KUwyFDo709cnM9OPvr4wb69V+fos0NK0laR+8vIUPJ5yEl0Hs30oniTx0Qc9HHFkZgOyZccutAXuJNfECfN+Bu29IMf/lBP1w/nxE4SqTkz7uTPqo2UNitJKIHA6ADOcTjZ64ye/M5w6nZ3ZlRUYK5nen7Jcj2FE+9p9/lmUPPLUuPXBbi/GMLYRCk3G7ZaGf8f61JmUvL4ceZmI2VcX8OBmB0vtmalQjuV3CvDkdisnuzU6h0R1lC2bsT/6ON6pc+Larh7sY7vfxzllkTzFZGPW9Bl5kT4JAXkWGNk/uQG5shBjaJszT7D58xBV1bkxdDP9LvLzb2dw8D+HX9/VIPHgJgs3TImOTdqUGbS/8z7246N5up+uFZSUkHAMS9WP8DvvQHMFG+oX0BWSOKZETzkKWSxrUdX1+P3nZvS5zH4Xjk9/wwzp27zdWMLcobw7rXkn/mf/Sv5V/5FyX6W5D70iHyypHaZmr4kkCZqbRVz7wS1NKKKO7q7s7vOx/kbiUKZR0PwrBjoH2bLZ4KSvhujsjNy/+fmNeDyFCBF/vtH9sBl2trUFSCdsG9i2E2/9zOh+W5+BsuMImvxMtoLE0SRm5zdSSOKUE/fnsS2NVFptzM/L5+UX25i/oIAZ+6XPbx7NWK/H5g86mXyYxIBUisdRSMA5iaXE3zcADscT+P1fZ0+pleKimai96+PaaYUz6c3lPbKPLy3JjGxTYYFVVVW8/fbb/PKXv+S2227j9ddfp7IyedG7RMyePZvVqyMhZytWrODAAw/MaP9s+MyjsMUnZ60z8c+/d3HU0fHVzPWKxF+mNjMLN3IKHI5nkr535TX1ibdfXcfry7uGZdsNowxZbqfalr7WlRzsRSSq3j7OhBdWp5Q+aw1KVNlyo4igaQavvdLJ6ae7wZd+YirL/Xg8V4/5vHX1jqzk2O2PPQx68vAWa/OryJ7kRSNH4599GdoYa2SNJhyei9X6r+HX19QmNoKvTrL9i4bF8gmqGitgIdnsGJ7xS8oOBg9F0+YghODq70elvLX2dopt9hGywREUKRKiN9Fs9MrMzBslw16eWClwm9+HS4nOBJONWT+4OiLpbVnbFl8nUHFg2/b08Mu9WetKkuJlxCtsghumhHi01TI8hKmz5xIeJcfe1CiIc5SbQF20kOD02egCjjFRRkTT6lDVxsxPZBJL+3ucXpMfE5Iq5+WhbU6fNiAclpSGVaYoipSwvJqtuJhf1qYPtZswLC6kcMSp0NEBI/WJhHAghLnyLWYl2cXgYExYqhQaIFR7kunuJpvHmJ3fbPPLFD7/DEcVTmKqPbJapaoSn64dv3DVVPR2BLnSswqjohKjv4/lfV28MSJceSR+/9lIUtRx7luQOFHSt+DacenrPv59MGVc3Xnnnbz77rucfvrpfO1rX+P999/njjvuyOhEP/7xj7nvvvs466yzCIfDnHDCCVl12Cw7/JHJyPz87Kcgy//RxbEnxMur6zVFhBZVYxTaQZYwCu2EDqnJqZgFhIDkYRanLyvnt7+fw6zZkWTRWbNd/Pb3c7jw4sksOqiQsnIbv7pzO709JSjKbqrtaWpdaX6CNeN7TZIht3uQBpNPvI8v0TipNDdCCM88tZtQ0AC7HWVnY5rWOoqSG5W4igobgUDm96I00I8oTH5fhepOQw4kkM1NdCx/F7Ydz4Kc60q+DoSwDOcOLCvX+P0sP7PzdFQJZufp/H7Wl0fMwmZ7E12PLUik1tVHlKbGDQsWywds3OBl5qyod1fz+xH7H4CewPmQrwhTCmK5QggIGlKMmEWkxlVi46ox4KfeHs1pTDZmnb6sHHQDyRMkTq9fkvCPULacsV+kvtHeQFWb0LTEhaqOK9HoG7oWltmz0TZ8FvP+gv0l6qdkfk7PL27jxa0abSbrFApRNH45V5oPJIUFRSo94aixLxUVY/T1pt091znJAGd+M95h+NwHLfR7cyf5ngsMewmSv5NvXSjFiDt4PFel2CuWgwt1NnrS3weB115GDA7dA5qPcOWSjJymek0RoUNqsp7fTHfqFC85jA+62vlzeyQ3fOYsFxs3THzeld+vY7PJPCeq0MsrMPr62B0KUWFJHForSV7y8+8afh1sOJOBpX9EK54LsopWPJeBpX/cJ2axj7SYCgtcuXIlzz333HBo39KlSzn11PS1kCZPnszTT0e8jlOmTOHRRx8dQ1cz484dNq6ty95T7vVohMOC4uJYA0du94AqoU+ZhD5lUu5DCIZQlFZ0PbXs9+nLyjl9WXlcH4qGMp6PXFrC9y/fwN337eB0dxg1xRKe7NtNcOo3c9P5DDHK8pC8ya/VM+0WTnVruExKySbD79f521928/jTETEH23N/JfjNc5K0FjgcT2UcXpMMWZa4+34TAfOJSLX0KknkffwL+o97GtLV4pBlAjMvya4PaQiFFmO1riIYjHhIl5VrLCvXhu7NvRMKmB06irILXa+J2arUT0FrasQyOz78LRcIkUcweCTvvN0ZUxNNb2mmeFczrx15BAtcsaHU8/N1mgMyc1wTs4bVE5aY64pdPZHb29EOWJSwfVPQT70tVjAm2Zglt3vQk+TFut67Ds/hEXGkKQ1gG1+18aQoSlOc0b2Hcpvglq02DirUOcVdSMF/xzofHQ5wuTIPofDaCtG6A5w8J9MPnXvFQMvuVYTLI8qlLmXEyogspy+6ZhhknQCVgoICCIcFFkv02MeufJKCGeMzzmWL96BbEdZCBmPsXh2H41n8/rNMHeOAfIP9TTiLZXcZRmcHckEhkh5ACme+iqfXFKHXFGU1v3m0zcqVTz/B5K+eyD8nRQyyqdOcbN+2d54D113fQLB4GmG9i9DKd2hftD8V1sQ1SSOriMaQUmxk1S3YcCbBhjNxu/P3hQLuwzSm3GG6rqNpWsxrRcm19zt3rB2UcSqC6XnZTzpkWeI/fzo1dqNuYBQ7MCZln5hpFkVpQdfNJaAm48CDC3nwoUP46MMDueSCdTzckvyayaF+JH0vVVEXAsv60TW6olxUHaY0QdHMTHnof1s4/8JqLJah216SSBhXQqTGkSTlVm3q3t80Zi7pbaJ9qOJwLG3vpm1X8NYlIMZnqSMUOgxdNyf1+0VGVTcQDscbULbFh6PWJp5Y5wYZl+tB/vV+H4ccGvUQ533/Klw7tvNid/zq5A9qwzEheuONQxH8pCHWCeL/9iWEFx2UsP0h+UXkq+bq0ymtAxjVifNw5UD3cCFhXYPm8auTmxJdr0TT9kv6/k8agjzWZmGjR8b35GOIcFQG3GUu8isGoes8OuUITnT4Mwpt93p/gNmaRplg5FURnHIGAGEh8clAdPpgW7wk5b65rnG1B/eoVUxDwBUzv43sTlJdeG+hebHueI55IwRnJckfV98uFZIUqRmYDtldNlzI2tb0Elrp+KdgjGR1n4K90o27o4MuLTJeWCwy+y+ceAGIVSt7sdtl7l/dhbe5BaWunvZQkHJr8u8xFDoEq/X9CezlPv4dMWVcnXrqqVxwwQU88sgjPPLII1x44YV89atfHe++Zc2vGq38cHT9kQz580O7qKuP9boq23tQdicXXsglodBhBAInjvk4FovMiSeX87vfzeIYycsLzyU2YpS+TRjOzPLocoaqgP6abZMAACAASURBVJ58knjxZ7mR7y2vsHHKadGHrlHqRurqStBSx+H4Gz5fbpf+zzmvCr8vs8nwwJ+fSNsmVH8atqYXUraRPS0RKd5xqjQvhAtV3YwkfZlWqRITDB4bt02prEbvSO4AyAWy3MaNP52Kwxl1gvgeezjp+kOjX+K5jhwX107Bu70K23yxjwzHH/+QtP2CPPOTKb0iH5GkBlKk1tVuAPJcEoG9FvGlYBjJYxKtMtwzM8B/brWhf+86GDIsPR7Bjiyii8MtLYQsMtUZOr1kuQ1V/TzzE6ZB7fwIwxVZ0XXIgpdHFHa3LT06peNovIyr9g5oHpFyutUnM7mnGSlJUeu9hZHfwBblTD5dG91msXwck6tqhgsqw/SkKd2luMswurtBD2Hb8dw4hIGnRgCiajKFu3fTO8Ip//VvVODzTqw8/lcWF1M92U7pnOm07epCrZ/C9yprY3JBRxMMLsZqXTmBvdzHvyOmjKvLL7+c733ve7S2trJr1y4uv/xyrrjiivHuW1b4dTi9TKPSlr3nTgjBJd+dHF3hAAjrKG0DOc6rSo7d/gKSlJtZhK5XUlho4caeIo49rpT/e7CZle/0RBuEPdiaXsrJubJGkSMFrRIQMMZuzD71RCvHn1gaU8TXqK1DTlBw0W7/O8HgEiB9DaxMeP7Zdj5YYz5EQ+ruxv5w+uLdeuF0ZG9LylUuW9OLBOtPM33ubAgGlyJEbr+ziUUgy/1xIYEAWCwoFePrfOjttbGrJdbYz//hDSBEwnWIeodgYf7ETVbKbfHRAP4r/yNhnJ4hBAO6uVVSqc+PcCX3JOvOqphaV48/unfqXAmR3jgoswpubgiyafm7+J+OOEaadsC2rZn3+Q1Rxg8PKUFYM5sch8MHoGkz0zfMkHDV0uH/z883+HQw2i99Z1NK4R2jxIk2ZVLS97OldReM1NL4V7/CQUZnTsom5BRJouL9b9E7IjVNUdrQ9czGlA8HZJ5tT30fOs4+D8dXT8Xa+hahEddsIhAiEoxqTJ6M2trCpRWTh99rbg7gnWDj6tZbtmKzStS99BRtfQGUunrWeFI/g4WYhNd76QT1cB//rqQ0rtavj0hQrlmzBofDwdFHH80xxxxDXl4ea9asmZAOZoIQ8MRuC18fY+L8G//s5ukn22K2qZ93ok0vnZBVK4BA4BSEyE0tIkVpRpbbQZJw5il88+xKXnu1i2uv2kB3VwhL54eE3RMbOjAao8COlKC+hk+PhCONhXDY4MST3eTnx3qrfNf9GH3O3Lj2ul5GIHDKmM6ZiNq6zBQDRUEBgQsuMtV24JgnQSRfFbO0vkGo6ijT584GIWRcri9zcUUjaZ6jpKoE30xe1y8X5OdP5qhjoivuQtfpvfxitLnzKFZUgglCWG/amruirKkQAm7fHm9EFVyYOCexNRTEYdJjLpxWhDO5caWVH4YYUbQ208ja3OBHUXabarmwwKCivooneyLCJE1NUFuX+XPD3bYd2eUkvDB17u1oJGmAvLwHMj5fKqxNL6MMRpffFAkKVUHv0CqKVFSMGEg+aVVa+pGCuZ9YV1TAyAXlfw0oLPlW+nzwvcFAIJ+G8qgzL5Lbmdm1PbBQZ00axUB9xzZ8f30aa9OLBOty/xxLhVePCG9o0/cjcMHFdISi49m0aXlZKeZmi9+v09ERQurpoVL3MXjGuVgXLOTM0sQCPCNRlGZUdUPadvvYRzJSGldPPBHxvN17771xf/fdd9+EdDATDOB099hzSl55uZMlI5LKMQwkbwgjiQT7eFBQ8NOcHUtRulGUJmyyIKBDfr7KrbfP4IKLJvODy9ezZfVawmWH5Ox82aBNK0EUxE8UW4MS1WNYhQS46YbNdHfFx1KoH67B8sbymG022xtDuW65D7eqq3fQlMHDxfrGP7E//oiptsrgDmyNzyV933PoXaCO96qSA1nuBPZS7t4YsdtfSunQCK56B5HCOz9WfnlbASOHZKOzA8mZh/+Sy/lt3XRscvxwbR36TY83zQGJGvso404I0BLHKH3iHWB7wESIqBBYNrZDitUZbdIcUKNjQyRVcmItLFVtQlFaTLevm1HLiauf4aMBmaZGyDRd7/rNNmZNr0QuK0fd2h1JJjKJEEUoSm6VLa07X0YvaIjZdqpboyUQuSdD772Ltm1r0v312qKUq5PZUlYO7e3R7+YMd4iCZ/6U8/Pkgi0DC5he+Mnwa1nuShlmmohJFugNpzbUlfoG7Mcej7AWYoy6ZhPBhVUhsNuxP/U4B+UXDm83hODxx1pT7JlbNqz3MHuOC7mtlVOMFhY9eheDmsYDbelLl4TDB6FpU9O228c+kpHSuPr5z38OwE9/+tPhfKs9f9de+8XS+Q8bcP46B8WWsT10Nc1gd2uQmtroRFTyhQkfXDNhq1bgR4jceaR1vRxFaafKJmgdUetq/4UFPPLkAmaW7OA3j+8lfeMRKE3xcr52mTHJsG/b6sXr1WmYGi9Coi1YiDZ/4YgtAYLBxRhGeVzbXFBbm9nKldzRjlFmri964TS04lkJ3fqWluXIgUS5ZbknHD4Qq/WDCTlXrrHZVmAYyUOXlIoqjN1tSd8fC319YXbsmMLIUFR9VwtKVTWWjz7g5catCY2VqQ6DbX5zMt1jYa1HYcEopTJpoB9RUJiwfWPAT50tvTEv9/gQo2tbjcbQkEJRmbXiYujtSdF+HEilFJgISVWRw2F+1WijUUjU15s/1/t9ChYJ9D/9AclqQ6spSpmTmuDsGbQ1gRAo3l0YebECS6e4NZxDUQVySWkkzycJ1vd2jsuSY0VFVJOoJwyBQBj7sXunpEg6OpWFVCtR48rrvRzIPB+qymawK5DiGofDDP7oUnz7X59FL8dGe0hi01ABed/V1/FyTye+IYdUWZmVjvaJq3W4bu0g8xfko7Ttoq+iljdP+i67w0H8hhlvlERBwS3Al6N8yD6+eKR8qn344YesWbOGK6+8kg8++IA1a9awZs0a3nvvPX784x9PVB9N8VibhZNLtTGrva5+r49DvxKbVyX3+CbQsIqECxjG2JQCR6LrFSjKbr5WHsY1akFGVSDwlTu44qoGVr/fxy9u24bfN7Fx0QBYFfSG+ImtR5eod2SviPbru3Zw7fWJC8xIfX24fnbT8Ou8vEewWDZgMhUxY5x5Clf/R73p9hHjyrzqlX3L46g9n8ZtD1ccjlaaWC471wSDR2CzpVcu/KIRmTzXkuraq0Ny7OPBynd6WXxEHrIctRr0XS0ok2vQZs7iaEcebjXe8z89z2Czd/yNq08HZfbPj5dhN5LkoTUFAtTZTRhXLQPokxMbaHsQtmKUwehKzF2/kZg0wbXOVXUnmlab0T5FF3ybu6d72bjYgaPc3PNDCLhnp5Vr6kKEPvoAyWpFaR1A7sysRpAQBQmLHmeDMrAVvXB63HZJYjjvSi51o6eq7myIcXmGusskrv1R5LguBRZ0b8H31OM5P08uOOLM+ai1e8ZhHav1nayOc2NDKKV6rmSzoSoDSIHkxu54ERYS052R53X+f/yAFr+XrnDEoJIkCVkGXZ+YVWd3mZX9FxagV9fgnjONk/6/77E7FKTCaq6sQTg8D4tlbfqG+9hHAlI+lVetWsW9995LR0cH99xzz3BI4B/+8AfOOstcbYaJwKvDi50qZ1ekkdExQVW1nTPPik4YlM1dEyZiMXxOpQVNm5y+oUkMowIhZEosgt3B2AecFOzFvv1pVFXmkEOLOGBRARect5Y335jggVmSsL4f7920yQI1y2fyxg0eCgstNDQkls4XJSVIPZHPKctdKEoj4fDChG1zxTsrek3Lscsd7Rjl6ePD9xCsPxVrY6xqoBTso2DFZRPmHDCM8iExkC8XNtuKtP1WZ89GeD3jcv533u5h0YF1McaVMrkGywEHYvnkIxr/+Xee74kXXzmhRGNx8fg7Q66oCTFrlJiFcLkInphYNbZfD1OZbhIjBHK/H1GYZpVekrFti6pmvr4cNk5wOoQk+RILnaRAqamleNc25n0Q4OpNjmR6PTH8o1vhgAId94jJs3BakHyZPdsCgWORpBx53TU/ganfSPhWtd1gd1CKrFwlEAcChgyr3HQlEb//n8i/D+2yEOruRh6tz/4F4cVXnEjhPXWSFNP1rUajEHEmJ0UYWBw+jIIsqlaPkSd3W+gaClsUkkSdx0vXiNDhKQ1OmndOTN5VqdtKqduK5PUQ1jWuP/4ntIdDlFvMhaeGQkuw2VaMcy/38e9KysSSK6+8EoDnnnuOM844Y0I6lA0P7bJwcXUYdYwOXCEE//xHF9+5POKhlHr9yIMB9AlWHtL1upyqrgnhwu8/m0JVYB/1HcnBXoJTlg2/Pv5EN4sPL+bXd+2gcYefiy7JnZGXtp9WBQIaOKIPjtX9CqdlkUcnhKCuzsHN/52i9tKI6+p0PozPd0HG58mUb11gPoE5eNIppsMCATT3QeR9dHvMNmvzawQnH2/6GLnAMEpR1U3jolg2XhhGPuHw/JRtbEuPGTfj6sST3dTVO7HbXyUUGjLydB1lcg1GVyfubVvpDMeH1OQr8D8tFq6sHd9wmz/uii9vIQ0MYFQnXmH/w/R4oZg4dIHWUGLO8B/hkDjuBNAmOFrH47kCyCxnSC51YyBzyTEGA+4gOqkfuELA/vkGi4t0jP4+5IJI/p/Is2a8cqVp05HlPiBxsdRMkIO9hKuOTPhee1Bmk1fi/AMPwnpg4npnkn98ZNj3cNLJkX/f6lU5t7MZufSLZ1wJIZi3APTi2ZE8Q+s6FKWFQODkjI81ySL4dlVyY1vt+gjJNTgOlc7S0xqQqLZFvAhGVTV1XV101dYPv3/zz6bFKPaOJ5oW+QZEfgHaxvV48qdRpGB65UrXa4byLHWyCd/cx//bpDRH9ohWrF69mhtvvDHu74tA0IgUmT15DHk5e5AkiXO+FZ38WjZ2EJ49Pvk3qVCUnRhGbuNe7PZXUSV4tSv28e785E7QYlX68lwqP/3ZdC68qJqH/q+F3t6xrwiawSiwI/fF9uXFDkucQWiGvl6NF55vx25PPyhKUh+SFEhZIDRXPPvXdjZ8Zm6CLg30Q4pih/E7yOiF01D6twxvsu18hVDtSZl2c0xEiq2OZ8Hd3CLL3YTDC0j3ABU+L4EXn8/5+VtbA0NRUxIxxV8VBUlRMMrKKerpSmhcqTJcPnl8DStdwHV18ecQeXkIW/yqkxCCX7WkL+wkd3nNiwRJ0rAa5sp34JE/mdstNwgcjr9mvJfkctH+f0/yf38Q7F9g8Jd2C+3B5BPLjwZl1ntkXCoYAwNYhwrzCqc145WryKM9R5PYFLXxFhdrvNurIIJBvA/8NmEbIUtpQz/Hwu3/LfAEIxEOUmcHyhetgDDQ1QmP/lkg+9tR299HUZoxjOwEsiQJrthox5NkymNrfAH9iKsyL1ifAzy6NJx6YEyuYXpPD+oI50njDj/P/c2c6uZY2LrFizoU8mJZ+Q767t3gcDLV4WSGI8/0cTyeK8eri/v4NyfltHXOnDkAHHzwwQn/vgis7lfY4pVzEvV01y+2D6vKye0eDJc1ZhVlotD1BnKtVhcKLcKpaLzRE3tcOdCJcCT29MmyxLcvrsZul7nkwk/Z8Nlgwna5QhTakUfJsQvIOI/OMASrVvZy9rnpV4l81/wQhMbg4A2ZnSRLbDaZbdvMFdrVZ87O+Pieg36OXjC0Whfygh5A2Cc2QUUIFy7X74l4/L74CCED6X/nsisfNYF0/1gpLbWy//75Q33JQ5IiqxTh9Z8h2WwY5eXkd3XTGUpsRF2/2WYq5CxbXulUeWp3/HhkWbMaLPHbA8Lg4or0K97CYYloepvAcFQM55CUuqGzc+ImjpLkSVhYOu1+DgeBt94clmE/rzJMY0Dm08H4x25Aj6xCHl0S+c1Izjwcy74eeVOV0WZnZjAIUYjFsi7jPo9G6fkMjOSG3SQL9GsSwuEk75LvJmwjhfSkBaJzQVk5rGhWmJ+v4zjzm1gWTkx+aSa0tkJVNQjFhrXtbWQ58xpXI5nrMvhoMIEzSAjUrk8IyTUpBUYmgvDCRUyrncIBrqgCa8NUJ4sPz329s9G8s6IXz5D1aX39H9iOPR5HUT6fef1oGRidhlGM3f7yeHVzH//GpDSujj76aACWLVvG4sWLWbZsGTU1Nfh8Pk46aWK94YnYFZAoVCNewbEihOCjD/qprRvyxMoS2sy94wGz2d4i10HqdvtLWJR2RuaSyr7dGI7UK3OSJOFwKNz2y/343f07ufW/to5blXWj2IFRFPWEiyxD9Z9/tp1dLeYKMMsD3dgD/2C8RCxGU1tvUjFQCKx/fzXzEyh2nGvvjPxfVvAefHvq9uOEYRR9aeqE2O2voevmwl8Hf3lbzs9/5x3byRty9xpGObIcyV0JvBZ5qAtXPv5bf8GllYn76FSgKZV62BhZ65GZmx8/xlpfeQmRIMRmzWA/T3amVlU0ev3IfX7TuYCexfcOO4Hc7shKwERhsXyI1Zp5XUdJkvAFFWprouPldKfOLdtsdIViP/dDrRbWeaJjkL5jG3pb9DtUWgfIFKt1Zcb7jMbW9BJCTm0YHVSo0+iX6Lnk/MQNVDm9IuQYKK+Q6OqG4yZp+J/9y4SKT5mldRdUVUtok+ah9qxDUVoxjMxqXI3k4EKdf/XHG1eyv51w5WIsc+Yhu1wJ9hxf7psZfe7qUxrotai8PxArrHLt1RvHvR+ffjLA/PlRoy604i2+ViUhBDgV8yF+QhQMhW7uncLl+/jyYmrEu+WWW7j77rvZunUr1113HevXr+emm25Kv+M4c1ej1azjMy0bPovURJAkCbndg1CklLVXxgtJ8qAojTk/rmFUxBXBVDtWEy4/1NT+FRU27n9gDouPKObG6z8fn5ADi8JIF7xXJ2OlwFDI4PFHW7ngIjNqiwLlqH788pkZdjR7zNa6kjyDqOuz8DxLEv5Z30EK9sGH96G7MkvCzxUR1cAvfjKwLHejqtvNt8/PxxjMfKKbDMMQbNzgwWaLDMVe76Xo+hREMIi0J/FaknA+/Ec2+xLn3czIM9jsG7+x6nOvwn7O+N+h5PdBXnyITZMJGXZtezfCbj4qwNqyHLUzIvFfPAl6JlCKXVWbsg5zbbc2MEWJ3l+TLPDzaUGu3mQnPPSV9ofh9R6VZWXROC8RDqPW1Q+/1mZkkztlB8YmHqB2foBWlrrA/A/rQ1SlqEUod3hgHI2rsnIY7IX9CwzyvnMFkjOxgNHepLUVqqoA1Ymk+QmHFyJE9v1c4NITroCCwLfgR2ifbyK09pME748fXSGJFzpjV7JLgiHKRzlg8vKU4VWl8aKzM4S7zAoeDyLPhWPZ15nt0nm4vT39zjFIOJ0Po6pb0jfdxz5GYGrEW7duHbfddhuvvvoqZ555Jrfffjs7dqSPqV+7di3nnx/rzbr99tuHixNnw7PtKkeucaL+BV7usrAlRzLEr7zcyUlfLQNDYJQ4EUW5qzOVCYrSkrEqlRn2yLHPytPxDzlSQ5NPIDD1mxkd5+hjSrjnt7NZ/5mHf7zWyXN/282xR67Gqb7AsUeu5vlnMx28YhkZPuJQIhMRMzz/bDvHHrmaQseLNO7w8/dX09d1sljWoAxsxvrm61n3N1PKyqzMnJXeoyi3m69xNRrnp7+h+G8Hwds3UvzCUmzb/5LVccaCqjYOhVMcQnHxJdhsb0x4HwCU5j5sy7fgeWAVtuVbUJpjvahW67sEg4ebP17dFPSm3BVo/WzdIHPnRXMvVHULVut76K27UKqinm3fD2/g+OLEE+wZTiNn4+BohABNgCWDwzcFA0mNqz3XI/SvnVjWtsZdj2SEqo9CL5wBgKpKnHf+RJbG2JlRjauRzPzW4Uwuiq3fN8dl8M2KMJest3PkGifFz0GjX+b5jujE1HP/3TDCw65u6UYazKw4t6bVoqo7s+o3EFG2U2wpc64AQgY8MqRel8jppuwaMB3+mQ3HnwBVkVuDvmuvHMpd/GLx9W/AIUN+zFDFYrSgeRXYRNgVEopaWFv+CUJg+HxomzeN6RyZUmIRXFQ9ok8OB2pLc1z+5X4z8/h8Y2YCLZkQDhvUDtUplXt70KbPYPCeX2MIEFnEwgihUlj4Y/b2s2wfXy5MPTJ1XccwDF5//XWWLFmC3+/H70/tEXvwwQe56aabCAYjD4Senh4uvfRS3ngj+xvz2XaVyzY62OhV0EUk1vuyjQ6ebR97ftKBBxdywIEFKDt6UFr6QZ6YMLHRKEozup67Gld7MIwKZLmd6+pDwzlMzs/uATU779ncefn4/QY/uHwDmzZ60XXBpo1evn/Z+jEZWJI3NDyJ2OCRWd6d3iP//LPtfP+y9Wza6MUwoK01aKIfBk7nUwR2LEXd8FnW/c0UWZY46OD0yd2ZFBAeiW37X3CuuwfF3w5CR+1dT8FbF0+ogWWzvUFBwc+RZT+go6rbKSi4dcIfSkpzH9bVzcj9ARAg9wewrm6OmdBbrf8iFDKfP6rU1ee01tU7b/dyxJLi4deaNp1weB5Gbw/q1KjSZf7ll/Bw8w5CRvwK0sw8nYYEK0u5ICzgezWJc72S3Z9NAT919njnVMz1AOSBYNz1SIbSuwnHp3cPvw6Yi/rNCZLkRYjsQqxe6D4Bx9R4w8wQ8Fq3hY1eBQHsDMixzzIhkEYYV0KRkDyZCZdo2rQYaf9MkQd3Eqw7NW07qwxHFOmEJrkR/Umu5TgaPDt9EhuHhnBjIuNFM+DRP4MydGkDsy5B1seuOupQoNEf/V5lTwtayXyQFRS3O7k0/jjxbIcaNxezP/uXuIC6WbNdbNw4PqqrEKmjdesdEWvbqKzCc+75CJ+PoNAgw9+xzfYGLtdDQ8qbe+9Zto8vH6askjPOOIPDDz+cAw44gAULFnDyySenrXNVW1vLfffdx/XXR6qEe71errzySlasyD5U6O6diWO/79lpZVl59svMTY1+FFlCNgRKSz+hIya+PkQUCU3L/fk1rQ7DKGZ1v8Jkm2C6I4Rv/rVjOuZ9dzcm3H7HrduYOSuPt97o4b1VUa9tZaWdW26dxv/9oYUTTirl5z/bGrPf9Tc00LWmi0O/UsRtjzSxeXsABcHjMiw6sJCvnlbG2o8HKCmx8sf/bR7e7/1ViR/o99/TxOnLEk8AbbY3CIUOwXA3ILc+l+EnHxumqtTrOvq0+MKd6XCu/VWS7b8m2DAx4Y9O52NJtweDR09IHwDUTYknWuqmzqHadQbh8FzAfNkDx6mn56ZzQ5SXWzkwxtgOkZ9/F8b+t2A9IBqOJQoLCe9uo7tmSlz9qGJLRJ55PFjvkSlPVLDUMPD8f/ck3OeKqlpcSvyjJf31SI6RV4Xi2zX8esb4C3sO4/FclfW+37kkTPCf7+D8WmydqFTPsjNKAjGrVrBHMTAz4yoi6Z+90qtQnQRNRja80aMw/ayrKFdHXfdsE2czYJNFZdoigUjgePii8IOro1+CGt6EHGqHMaZETXcaOJXob9O2/ZmIcQXI7rIJN652BWUWFYzKx1YtKKPqJhz6lSJ6e8ZPgfjTTwZRVIlFBxaifvQh+scfoNbV0xLU8IQzE9P4ojzL9vHlw5RxddFFF3HhhRfi8/kYGBjg0UcfZdKk1DfpCSecQEtLy/DrmpoaampqMjKuioudqGr0IbM5icjaZp+C252drClAYWEeDVM1XDs6kA+YTGF5QfqdRjCWc8ezGHCT6RPJXB+e5bj8S+kNgbvnA9i1Cg7LXlJ/S5ILsnt3kMOPqOTwIxKrIf3XrZGJ1Mt/jw+N0OcXom3u5He/X8QNn8J5dTBvxNzzkEMixtLXvxH1BjvVF0YfZqh/3hTfSwFwMq65MvR24sjpNUx9PaqqgxiGhfLyFKGnxy8Fux1GT1bS0Zc4FETt35Tj+zQVicPmVLVpwvogNANvf+LlDXkwONSP7cC5uDJI/NaUML2PPYb7yuwkekd+fr9fZ96CEmpiDIt8QMe68nXs++2HfUixlSm1zAz60PJU3EXx32EREaGHTPuQjgMLIxFdhaMjw9ra4NVX4eKL4/bZ4unkhATn8Aykux4pEC5YPYB9qN1fnwkyf4GV/PyxzdzTfxcdwEYgc2uur09w529Vbj6lnvxR50n1LCv09xKa1hDTN12W0bZ0Ycvo9xMEXgTONdU67rvoWAcN80ytOp1hgT931/ANKYB1xHGEP0yosoDCDPqd6RixrkmgPRbksp+ECVSU5WSMyfU4dd5ZPh57aihKxC1DR3vcPZFpP1w63LER/nuPgGn3Klh6IygWjLypdNRUTeh30dsC8yrBPXI4baijvL+X0lLXcLim283/z955h0lSlfv/c6qq8+SZnpnd2QmbM7ukJadFRBADXFT0Xkxw1asCCoJeATNXMSDGq6DoFfSHXhQxEESRIGlJm3OY2cnTszuxc1Wd3x89qaerc/cw7p3P8+zzbFdXOFN9qs55z/u+35fv3nmADadkHpmRzd8xv8Fg/fHlseutXcaRw/tw1tbyppZqHh2SeL3ZRCW9/mPZHP+cZDRza29v55Of/CTt7e2YpklDQwN33nknLS0tRW3cwED8CLTM7WaXPzFMbJnbwOfLTN7aiptu2M3tty8l2D5ApLEMfJlLjnu9pfiy2D8dTucThEJvzuqYzNvwTraN+PmjT+PLI39Hrz2FaB5tX7rMzW6L2Omlyzy53xPTxN47wrBvhH0DTlw1IXxpFmyzbYfd/jS6vhzTjJ3YvXw1gQL+hul+j+ee7aOvd5RzNyaXSLc/8mf0NWsxG5uyunZlxQq0gR0J2/XyFQwU8G9M2YbKZkuRCNO0Mzi4ZazUQPFQfKOYlW4cHhuKP3GF1Cx14PONoGk+DMOVlTiLlBq863059e/p/SLgNzD0cMK5ysp0gs3LiFQ3MDL2ndNTQU1vP3v7BmmMJr4D2/o1dkYMvFZephRtSMdXD9r5zMIIvmnzazESgdM3Ii3OdYGjlSj5NAAAIABJREFUwvIajjLnREjgVMZ/j3SURXSGx/bbvtVk544wixbnblxldi9cwHlA9r/3tq0SISRd3/0BFS3LUUonF+1SjWVDnmpsN9wc3zbdQNXExN+fKaq6FsNIf8z0eyGCPlRZi96fWfjWPAmvRUsZiEZQprbRlLCwMuMxNZfx9OCgC+eOMP19w3D2+XmPx4Ue06NRyfCwnDiny3UA+5a/MbT+urzb8Y8eF766IMpoBx61mpGjIWDsGXvHlTN6Lw4MOrH7Q/imZIy4ahv4rOrC5xuJy4W75K1VGZ8329/jMzdu47771wNQ8sWvEFy5GnXBIl5ob2fPoBefL/Mop2Rjma43MzAwM+PpHLObZEZ2Rib85z73Oa6++mpefPFFXnrpJT70oQ9x6623FrSBmfCJJutZ9nVJtmdCR3sQQ5cIQxI5vfl1lnGVRcm3Gqe09Os0OCN0hhVs/a8S9Z6Q1/mu+USL5faPX5dHAVlFwSyJhT0N64KyDMz/7NqhE4mcjGlOigOE3nFFDg3NnZYM5NiNxibM+dn3hcC6G5Jszy8ENKs2BP7Vcrvf/yHc7l/icDxanAsHoyj9fqSmggB9jXXSuL7CixABVLUj61waIQSDH0n01uTCH//Qy7z5VkV4nQx/+VNx26InbaCyZTGOJLmgbUHBjtHC5olKCVtHVctXov0vj2L/x1MJ23cFRnlkwDr8T19h7VpLtn06wTWT4Xk1XoFvBtJrXK4H0LTchAHa2qCpWWBbuQp9V7z8dKqxLPzk3xLFCDR14r2YDR7PT8klNNDe8TjqSGvG+ysCqowA3a9ujdsuBoIovuKJFwQNJvMNpcR2Qmplw9eD3h6on/IqUtVuTL0eJZC6XEEm1DkkvWGBrW8T4Zb4kOXQn60jOorFpbU6jmmvoOBHr+HhRQvpjsSLsfz8px10dRY+cTLgN3C7JxctlJ4elBNOQl24mFPKylngyC4SJNlYlmz7HHOMk9FoPDAwwJve9KaJzxdffDGDg5mpPBWSS+t0frwyyCqPgSZglcfgxyuDeeVbPfJnHxddXBMTsXidVYaEGMTpLNLEE5DSRbXdx0AUhB7MWcxinLddWscPfryalatK0DTBylUl/ODHq5PmOWWKvtILhokgs58km3a43b/EZtsFTL6AbS+9GJtJzhBNzS7a2lIPLJ6vfTmn/hhedDnD596DXrkGFA29cg3D594zY/lWAOHwRoaHb0XXFwEqur6I4eFbCYXezsjIrYTD5+F0PogQBUpqlhJ1Xz/2lzuQNhVZ6QJVwWisIHJKI2a5EwSYZQ4ipzRiNFZgt7+AELktypiBANLIv9bbH37fR3lF4mAfDL4TzHhBA3P+fFbbHSxzJUqfQ0wxcG+gsMZVa0jQ7LTOY1F6ezDqEsN+9wUDqElCmo3GCiLH1SPtKigCs9w58Xtkggj1QzTWZ2KFhDP8Q/JAVQ9gGLkpu7UdguYWsK1aQ3RXvDc51VjmOPu8uHy7cUQ0+z5nGA2oakf6Hadh73qSyPzzsjrm6/adlL72QvxGh4ZZVTxpdBO4bUkYmw0iIwFkIPcIlmIxXuNqHCECRD0novXnL5W+oSxW7yqy4HwiTfG1R21r1uZ9/mwoUS2UInfu4AObXmK+I34RqbRUY9fOwota7Ng+wuo1UxbMohH01kMIIfji4f3856LsBF6SjWVz+VZzpCMjM95ut7Njxw5Wj8X/b9++HZcrfRL4ggUL+M1vfhO37ZoccxXGubRO59I6fcxVnP+L9OmnBrjqfA/GouJXDU9HTIY9s2KmuWAYdWhaD8gW/Md/piDnfNuldbzt0rqChlIoRwKY5S5uXpS59HAm7RBiEJttJ4HAe+O2G0uXIYYGkRWVlscVmsYmJz09GfxtOSpWhhddTnjR5Xi9pTMWCpjQhvBGwuGNsTYkhE84CIUuAXRKSm4nELgqzpOYDWI4hG1zN8aCciJntiQYpEZjBUZjBeXdI4wgMefFQrPs9n8wOprbu0id34DR2YHWlLuH9kh/hMpKG4piZYio2OunLRipKsOaxvbACBvtieGkSz0mD/fnr5o6la0jKutLrSf0Sm8PZl3i4kVrKMjJpclzVqXbTnRtPVUbmrN+X+h1p4Iam6Q1NcORI1kdnhOKMoCUub0XFi6CJUtAC6wi9MTjCd8nG8sGPnIVFd/5Icr0GmK6CYaZVc0ow2gak5LPQiRJSpRQH9Kd3SJZuNLLb9yr+fiUbdqePqKr6kArjvruC4MqC5ySN7xREmrvoXRJ8SI/cqWyCs48e/LzyMjNaDWvYO98IsEgypYzKnV2jQqc+35FcPV/xH03+v3vUHnXzxD21EWgC4GUUGMhqmOsWMmfhIk20M8FU0pJrFjl4eVNQ5x/QW7v/WRs2TLCceunvX/G8pZ7IhEe6Cnj+mY9q+6YeiybYw5rMupiN998M9dccw2XXXYZl156Kddeey0333xzsdtWdKSUXP2uGhyDgdfdawUx40rXi2lcxeTYv1X+JNIxM4ZELpjVbob8BlsLHObkdt+H3/9vTBcLsT31d9TdM1cTxOVS+f5/r0q90wx60l4fbICLYPAdlJZ+A6fzd0AWK/NSonQMIW0qkQ0LYosjKZ5hdUEFau/4SmkYIQI5T5q15oUYecqx/+OZAc482/r60aFSDH+8XL/0lFC7+TVcSQzuBockKgv7DlOAk8utfxO1pwezLtGj0xZOXUBYGQrFPIk5oPVvRut/DYANp8C52TlWcmD8GcztvtbWxsIX1aZmyr/4X5lfNeBPNKwA9YgfEcguxE/Xm9G07OqyKaOH0avXZ3UMQE1dFW/a8Ze4V5cI6uAsrNE/lSqbZLnH5OxzIPrXR5GvQ0RNOsLhmAczhsTtvhe95gQC627M+9wLXZIFoX2EliSGtis13hmTpu8OCzrCFu8mw+DcL32enmlhgStWlrCrCLWu3nnFPE47fdITPvLJmwj9PlaGJGAaXNVgoB/rQ+scs4KUs9fe3l5uuOEGbr31Vk477TQ++9nP8rWvfY1HH32UdevWzVQbi8Zzzw5yVnkEfVV+YWyFQtOK67nS9aWYZj0PK6fSZy98oeKCYUhq2vp5m7dwVdyFGEBVfeh6YqiEOW8+ak9Xwa6VCd+5ozX5l7qeIMV8rGIYixga+ipgo7T09vQHSInSOYQIRJFlDnDZwJm6yCmAUumaqJ+mqt2Ew+fn3GbHWWejVCUXI8mEkWGds8629pYrdpOaL50Rv1EInI89zA+6rIvCKgK+saywOQxLPSaL3dYzEf8NnwZ3YrjXQqeLenvy3CAR1pFlORZoN8KoQ3sBGByAxx7J7TSZEyUcfmPOR4+XghRCMPoDa9n6bDDddoQ/21pXSwmFsvOOmO56/Cd9IatjABSPhx9ueB8Hg9PVT4qzcBk14Vttsb42cBSivX0o3tqiXCsfNG1qEEKYYPCtIBTcmzN432WAf+/vQSSOF4rXizFDcuz7gwodIYvf2WbDaUr69fhFgYoKGyednL7eY7b89K52nM7YvRB9fcinnkBtjnltBXBft43NI/83xtY5Xl9SGlef/exnqa2t5frrr8c0TX7729+yfPly7DPgZp4JVnoFaokd6Zkdf08g8K/ZhW9kiWnWIaXKte03UO3KcYIzEzg1jgzrPDNQuJeglE6Gh629rea8+ShdM2tcvf+qBUQiSeqyCMHoVwoz8P5zoBAKvYWRkU+jaTux2TZZ7iX8EewvHEYZDCGdWlaTdCEE0qlBMApIwuELcm6tunAxMph7SLKUktPOqKBhgXX7I3s7sTu3Jn6RZpJ6T6eNUP6pYBPsS5HDZX/Suojm+RXVKCnaGV0/L+cQMdMzD9Ufq3VVXSNYsSKn02SMohxB17OvNQcxhbipYYsl116PjKQ3jMzBAZQk4cnSY8/acwX2rPN4Xbt/Cnpu/fv8847jqYHJQsjFrHG1bVRhTUmsw1dWQaTnCEp1fosexeDll6BsLFLNZtuB0xkLEQ2u+gjoqYWN0iHCg9QwzK5oYt6iWjNzhYQ7Q4IGh/VCjF0IjkQT+/6JJ5URDheuNplpSq67vmXis6ypIbhwMeqY2/DfaudT5zDpjbz+UUpzHPuk9Vx9+tOf5txzz+VLX/oSW7daDPj/pAwORnn2bz7k2tnhtQJwuf6XqUILhUdBRI7yu+hqHu2fxas3QuA3BS6lUP57HafzEcDaiDbnzUfpnlnj6mc/6WDHduuEXrXtELZXXprR9swOVHR9FdHoyXg8P8Buf4bx0Cz10FFsr3URXV2Hvrouq7yTcaLr54NTQ1WtvT+ZIlQV8lhgikQke/ckn7xqy05AtRIBkDJluOi/1On4jcJMHHrDgjp78olP8L0fsNy+P5XRKSXavtwTpUx3Q5zC2jduL3Z8j4aUuf3OXZ3wysuT7Qvc9z+En/xbRse6k9xb6bYhQtkr/2WlbGZEiMw/N2exo+Mf+TnPDk6OLdF11rUOC8GmIZUNY0VrBwegzycR2dYFnAH+8qickCFX1S4MI3ZPHAcfwN5pvUiRKfaOxxiqPZtHLfItXZe/E/upZ1gcVXg6wwrzk4jf2NweNiiJ7QuHTIwCxui9tGmIH35/MgTW/sTj8NQTaM0t+A0Dh6JQb5dzxtUcM0LKGYrNZov7/9TP/+xse6wLV5WzqPHg2SEJBP6tyNcQ2IPPU1rRSFuwOAnGhaJTc7LQKEyYk8PxNKHQZUm/NxYuwv+ZWwpyrUxpanbR1mo9ETUWLSH8tuTtPfYR+P1Xo2n7KFW+jtp7GLO2hMgZzbmHlI1hP7gbw8gvJFa4XERfezXn47e8NsyJJyUXffD/7G5kyKIeVFMznmAQI4mB9dKQWjBRi+cGVQ4m8VyJwQHc37sjYXt/NEJtKqMzYqA3Z6YMaIXprsN0ZlgpuQDYbK9mLdU/zuE2aG6enMRpq1YT3ZlYf246RmcnapJq0LLClVMIu9v9MxQls8Ujm+8lHG1/yvoa43jPPB2/HtPeEMNhxHDmokTZ8sqwyoljxlVdPfz65P9XtGsVClXtxjDmA6DXHI925LW8zmfr/gerFx3PayOJz6rR10f4b3/J6/yZoktYkMRzFfnkp6h3Jhrr1TX2gioGbtsywpo1kzWH1AP7KX37v2A//Uw0IWhxuKh3SHrCc8bVHMUnqxm2mAWiDwVBSn7z12FOesPsic9WlH5KSvKPy0+H3fUSdbXNdFoln84iflK1gJrK/I15m20LmrYr9U6qivuH3837WtnQ3OzicBI5dsdvf4Mtw1XuY5aIRuSVSwiY78LdeA+U+PPP3bCp2Fb8FWT+BkjosYdzPvaen3TgcCZ//qJbt6AbK5gu8DH61W/y1TUnJn1pL/MYBZNj3zyisq40iQx7dzcimpgPud0/yubR5GpaaucQypE8FF4VG6Flk0qfxdZ8cTieRMrcjPlYjavJz7FaV+mNK8Vbi6hIrlyr7ezNui2mWZWxqIWt84msJdinMvqj7/OV6ph3UZY5MOutC2wWgm8tD1E+NkRUVsH6l79etGvlSsAvmSqsrCiTniu9cjXa0Z25n9zUGT39TlyeKiKmwJz2PNiWLsM1Q4t0n2iKUJfEuCIQxH7oQMLmaNTk4T8XTnBjy+Zhjls32d+U7m4GH3sEhGBv0E97JESz0+SyPEr3zDFHpqQcifft28f5558/8W/888aNGzn//NwTwl9v9L1HOLFWUlGTfVHGYhGTYS++jKxpemmoL6Vzlq/enOsK4ekayvMsErf7lxl5BAM3fDrPa2VHc4uLtiSFhNX2w0hP8SYlsxopUdsHsT/fhlnjxqCFkcjnkbIEl+tXTCq45YIBW2sxB/JfVFHKyjEHB7I+TtdNRkd1ysuTLxyYA0cJyvcA8XkK9j/9gVdeeYHDYWujvMUpaZsuJpAj+wIKS93Ja1yZ9cmUApMbI8pQCFmevoRHKuxdf5/4v8sVm7wWD0muYdpH+uONK6W8AnN4OO1xoT/+HuFI7v3TcygZYhjNGYfC2vpfQ685PutrjKPWeFEGj/K7Pg31wBHEUOELxQL0RwQP9E4+Q0KaPNv8HymOeH04cgSWLpv8HAy+Bxh7BjQnwgjlvEqgjhzC3h5TdTm+1KB72phujo4yeMO1VocWnLs6k/dZY9Uq9s+fn7B90WI3B/YXTjFwYCBKVfVkO5TuTjzXfgIhBDsDowzqUVwqvDw0i1Mi5jhmSLmE+9hjj81UO2YOw0RrG2TR+YkP++vJjBhXRhhdLKTU4WNjVe41emaC1fU2DHfy0KlMsNufJRpdi5TpVYnK3v8ehn/+q5xrS2VLjdfGu99j3QdFXy9m7ezxqs4YUmJ/4TBmhStWs2oir0oANoLB9+BwPIHNtg2//6qsQ7Y0bSdmnQ2lbxQjRznwcdSWFvTDbdizrI22dcsI66bXYbHAZmvFMOowzUljJHreRt4YjiCd1gaKpoBeADl2KcGhyKS6E0pPt6UMe2soyIbS5M+a8EeRnvy80Xr5MjAioNq5+XMCW5G0iIQYRUrrgs2ZcO0nEyM9Sj52XdrjQk88jvsDVyf93v5qF5FTGrOsddWMw/HXtPuJyBCmrRQs8mMyRanxMm+gk8tXL0bpCmPML7wiHIBLlXxg/mT+mdF6kNsX/xT4WlGulysNC+CGmyb7gc22FV2ftLZGT/oiMSM+++dWRIaJNF8CwI0tEQLT1kKEx4PR25NLs7NCSriwOrk3SPH1EX7g/2HeeEuc2I3NpqAXKOdKSslVH4oP946uO56jn76B6nt/TW8kMvFuenMBVYjnmCMZKd/QDQ0NKf/9M6IeOMqOsJ2zzptdqkLFLiAMgKlj6nUIMcgiV+FUegqNlNAVFtifz64+y3SEGCUQuDyjfc3KKkR/f17XywYhBLt3WcebK319mLWzR2hlJlA6hhDBKJETGtBX1iadPMYKOp5DWdnncDj+TjaeLE07TKTiOFRf/qul2rIVmDlUsd25fZSzz03tfXCccTa63oQQ8av+2quvcODnd/G7/uQTpq8sKYyn4J7Vyc9j1taiL1+ZsL09HEpe40pKQOYd2uk8+BuUQCx/aNtWOJgYbVQQFMWHrqepRZeCO79lsVFK9EMH0x4rUizwSLcNEcxO1MI0q4hG05dOkbYyRs/6flbnno5SXQ1H+/nYLidGIAqu4uQ0f/GAg7Yp0t+Gz8eL+7wFm6wXiheeh00vjn+ShEJvivte6AG03hcTjkuLEcb92mTtNF9U8Gdf/L2eqTSOIR2+czj5KofpKeW43bsZ1BONmuZmF8PD+Rs7+/cFqJyWRhBaugx1fmye2hsNUzeWD/qD9tmhDj3Hsc1sUXOYGQwTtWcEmqtnXf5YJHLiRKJrsbB3P0W4+gLMyPyE+OzZRH9UUKoRm2DrBmjZu/Ht9heJRk9iIgQjDeO1rvQZ9BhdeJF14nr0zLPBoojosYjS70cMBjGaK2Oulwyey2h0PUNDq3C778duf5pI5CzSp49KIpETMZV6VLMVTBkrDpUj7svegbSYLKTjX95Zj8uVvD+bgQDON12MogzgdD6B3//vk9/V1lFx5Ch9FrLG42wfVTGkyVJP7osnrwwrjBiC86qsdd3NBU0YLYklI368dDVqKhn24/NfkDPc81H83ZilLVx4UfEczYYxj2Dw0pyOlVLyrncnbretXoNwJ3+uZTSKUFMPybFaV1FkSTYh7QLTrCadh8S552eEm94MttxDkp0XXIiUsD5gMNgjKCvSOHs4pNDsnBzETF8fp7y5dtbVXm9ZCOPq8Kp6AJttF6HQWya+12vWg8h+GmbveorovHMnPtfaJcuswnhn4IZ0hBUaHMnfN9LrxTs4wBE9QtU0UbSvfG0ZhpF/G+vnOYhOK21ibNuKNlbjyiEU6myxZ6Y9JPAb4JmLDpyjiMxuVYNCI+EpUc7QSAGLwRQIIYIkkwovFM59vwIHOJ2/J2CCb5ZKku7xK7w2rGCWORFDuahNSaLRZZhm5spkr0etq0f+3Edba2Lelb56zYy243UhrGN7pQP18CBGUyXY1Cy9GnYCgfcSiZyDy3U/oDNdACKeIJq2B4DocfXkl7sVU+IK/PpXWR0jpeTnP+1IvVM4hNHTjWnWoSjxHiqztpaKo0fwpTCu3uzV8zKsAOodkrMrk99Ltb0NzMRrfLuzNekx4mhwoohzPpie+aiBWK2rF56D3z2Q9yktsds3Jdz/TBkchK/dlti/ZDSK/39+mvQ4c2AA28mnpDy39NgQgewKCQNI6QZS94vwwrcj3fl5zE2/n/ATj3NOlcE/3LkrQ6ZiWIcSVca9Lsy+Pv6yycvWzUW5ZM586+uSocHY/zWtHSmnhcUKjZLnPpH1ee1tfyQ8FhI4zl2d9oQx3fXmtyKLbGB1hQTzk4lZACgKTiEsPVdbNo/w7DPZ565O5yc/bsc9xVoSI8NEjx6dqHF1/YIW3Grs+3q7pHeW55zP8c/P/x3jSkq0A0d44Le9NDXNvgK6hlHkHCgpEbofU2sgEjmNXX6VAwVSFis0nWFBg1NiVjhRhrMPc3K5fj2mjpX5imD09DMtV+OLiWHCgQOJ6mlitHDytLMRMRTC/sJhjOZKoic0gD2/JcRg8D0oyiDl5TeiaduS7LWZSGQDANKmoh7OTyxFra3FccppWR3T1hbknVekrvtj9PWh1tYhZQlCxPcNWVmFe2gopXF1MKDwrdb8Fmlu2pvm/RiOgDN+H12a/Me8pqSHyGo3Zl1usuZTMT0NKP6YGp3LDe35lSxLimHMxzRziyRoa4WxOV0cSnUN4WeeSnqccLspufrDKc9t1ngwvdl7tYXQUdXW5DsMteF56fNZn3c6asMCXJe9g+X2KH9X8suZTcbLUyTYx7GffibacevpKX6KUVb0+6BmLEBBUboT+5Siovo7svMwSYkS6MYsix+vTi4zeGmaWIO2Zi3SXzjRCCs6wgoLktS4Gmf+GedwskU+5rr1pSxozH8+9srLQzidk3+70tqKJ+DHPrZYcV/f5MJpnUPSF5mdc585jh3+z/QwpWuY0KIqerrCLGjMT7Gq0CiKD03bW9RrqMP7McoWA1BScicNDpOOWbp60xlSmO8wYxOJysx+K4fjCSorrwI24Hb/AkXJLn/KrK1FGTiaQ2snUdsHcTy+j9EfPYfj8X2o7YMp929qdnJ4uucqGETkORhm245ikKwN2u4+ZKmDyFkLMWsKF/pomjUMD38Bp/MvlJR8EyFiymyT/eJaKis/hsPxBDg1jDzqLY0zdOtnMtrvoQd7ecM5L7Ji0eO8/ZJXeOjB5HLa4aeeQE9mMQhB+NM3c1558nzRBqfJ9tHcX+umHNPIS/FqcN7384Rt2/yj/KAreY6k7eWOWPGjPInWnkJoxfsB8HrB5yvOqrzH85Ocj51e42ocoWlgJPcI6nt2Ed27O/XJbQpKDjmDQvix2bYmbHccfIDKB0+DHy/C3vk3HAfzdAUaBkOf+RRCwrtrw0WJSlvqNnl7bbwXRD+wn6rGEnqzV6ovKlKCoiQWEJ6K4WlE8afxaMefleE33J+wdUO5wabhaQtV47mOReTiGp1Ty1NHA73y5rfwZK91ZMgXbt2f1/VHRnRKSuIXUtWeLkKRCEp1NVJKziybFB46rsRAE7MsfnSOY46iGldbtmzhyiuvBGDXrl285z3v4corr+Sqq66ifybFA0bDqO1DvPjCEKeeXpxQhXxQ1UMoSnqZ3nxQRjuINGwc/0SDQ6crNDtt656IiBUkdGgog+k9Vw7HE5SVfRlNOwiYKEqQsrLbYhPpDJF2B6Y393wrtX0Q+4vtKEMhkDHZafuL7SkNm5YWV0JYoNLdhe35f8xoOwpNsjZoO3rRl9XEcp3yyHdKhpRljI7eQCh0IS7Xb3E4/jKlX4CmHaKs7Ms4nH/H9konRPMMD9Y0ZDS1uMBDD/bysQ/vYPcuP1LCoYNBPvbhHUkNLKOzE7UhJmwzMnJzwveOlzdRoSX3yLpVCJm539uDQZFa7EZai1K0hYI0J1ExBGIiDLZCJDkInDvvBqCmJuYZKDwh8gnRPjytxtVUlOoaDJ91o4Xdgc1CKCR+J4ExL3uPkK43oWnxRrvj4AOUPflBtIEdIE1UfwdlT34wLwNL2GwYXR0If4Ral+D5IsheP9KvMW9aGJpt3XpqFzjo7Zk9k+bp4XiG0TyW+xaPXrMerT/zeEbHgV9bGmMrPCZ7/NPGdMPAKHK4+4N9GrY0r5zVHR0cLxL7ghACRSGvvKvt20ZYc1y8V1zp6sJx6ukIVWXQ0Plh92Tf31BusMA5e/rJHMcmRZtd33333dxyyy2Ew7E4+9tuu41bb72Ve++9lwsuuIC77767WJdOQNvZh76qllDY5JK3zj6J65hSYGP6HfNAr1pDpPEiAEyzmoUeH0OzVJH09qXhicEzkxAYt/uXWW23xOXC/tfcSw9ou60nTMm2AyxodFFXH5+Ynq9SYC7tKDTJrqV2Dc+I1L2uryUQ+AAez88sv3e7f4lZ4crJAzAVbUEjRmfqFefv3dlquf3737H28hidHRMKVw7HUyhK/L0MX/4uStOIHtiEJJKjk2jLiMq60uRGpxg4iqxMVDtsDQeTKwUaZlbS4SlR7QSP+yQALrfgtNMLb6RrWnte7+OL3gzJ0iadF16EHLEOSR359jfSh4cJgbY3+2fZNOsTcsjcW6wkDcG95Y6szz8dtW8ULzqrPYXPb76iPnFBI3j/L2lepPGGC2ZPNIaU8JmbJ9sTiRyP1ZQrOu9spCPDkg7SRK85EbO0JeErVcCPVsYv1hltrUS3vJZNs7PmqoYojjSPd3dDAz/Zleg5BWhZ6KL1UO7FxfWo5PQz4u+f0tvD8CsvAdATCVNvmxxnR3TBvlmaEjHHsUPR1AKbmpr43ve+x0033QTAHXfcQe2YEpthGDgc6dWOKivdaCmU4rze9KpGhm+UqMeBfWEN9YdhwynWCm35kEk7UtMHbARyP0/aNrxj7KnzAAAgAElEQVR2Hxw/XmSxmTWuYb4zbxFCFK6Qcv73IcaXdsLnxlSQIz3daN5SFE+qlWTriaqmtWXXphf+Qcmt/5n5/lMYTZIbpgyFqKlwE93Shf2kRoIP75r4rgR438YyKoM6wqFh9vvR+zRoPJ2SlzoQDg3n+UuJvNyOtqKW8NPxMs72ExowjwZRmyuJbu/GPBLASFK0UxkKUfLSpCHgOHsR+u4+7Cc1EvrbPmR40tLWmipRvB5kSEdGDfRpkznXxSuJvNyObd18Qo/Hh7PaVtURSnYvRsIF6yOZkcTQ1NqoWFlHdFs3jnV5tGf1CpxDfZR6j0u6y7691pOGfXv9lvdi1IxSt3A8dOgKYiIEUyYC9/wQ38aN1CxsSKp4+uHl4Km0UZHkkUn1G7y9FJwKSY+lpxUWNuGcdo7eLp0TG2rwWnivjH4/el0p5dOOybkv/O5SuOxBAM7dqOP15j6MWbehD1iO251b++7/VZhrrrN+rxrvugy9txeHxb0YMaPUNqVf/AtGOnFWeRBZG6zz4v/eQesQRG1od17P6Yhdw2VKypsruP6Ak2+vy06rJtW1twzCs0Pw0SXTrrlzKy0Ly3jh+Qheb/7CUIV4Tx04YDA0ZOL1jotYDGE5xnuPh9a/gcU1E9rR9SJ0PQRL/ythX4C/t8PaElg55twcXdpC4NVX8/p70h179cvwk5NSn6P0hT6WbnoB7+WXJXy34ZQaujpNTj0t+XVStWHFSsmq1fHeXP0/b0S55hq83lI2+4IsqSqbOEeVhN6+WFhxtszs+DXHPzNFM64uvPBCOjomJ3PjhtWrr77Kfffdxy9/md6rMDCQfDXD6y3F5xtJew6lYwhzYSWR7mEikUhGx2RDpu1Ihccj8PtLgdzOk64NIjKM6lyDPraPopyFlE6+cSjMp1qyV57KpQ3Z8O4KGI+cUUdDyAP9mPOSv9QqK5snQr+mouvNDAxk3qayiM5wjn+Do8wZC4ObhlnupH8wAM0V4BuBk+NrmT3++17eunIsVLXWg3NgG0ZjI9Gx/UZ8I7Fjg5GEYwHwuiEQhkVVsKgKx2AwaTuCU44fDUYm23RcYkFYANwaoCVcd3S8TYMByzYlvReljoI/f6lI2S8iUex9ozn/3gDGG99KQFMJpTjH0mVudu9K9JAtXeaxvBeeu++d2G63P4uiDBAKTaqCuX0D7Ni+g/0LFlOhWRfkbTYFu7phiTvRC5LuOf1um51PNkeSmKVAfQtc9+lYv5nCmz3VaMNRfCOJ7nAxEoZKZ9y9zud9URYKMdw3BELh4EFJy8LcvBXJ2iDEcYCClLm17+JLJD6f9XvVHDhKdMcuHKWTMzuvt5S+vmEiET2je2JTwd8+gEy54GTFfwCDQGzBsrJiRSwkcBp6+QoG8ngulDPPJXQ0wEggQiio8I+2KCsyVLBM1y8e7rDR5DTx+eI9YuP3btFiic+XnyplocYyj0eyfj34fCGEGEDTNKJR6/Nqo+bE+JyqHZ7N9xNeeGnCvuOc64BAAMZvQdRWQuBQOyLHvyfdvTAktA+78PkSVW+nopbXUtLRaXmuM84qxTRk0uuka8OmF314a+PfAcqnbkSva8DnG2G3bxCPokycQ0q4fbuL45TUbc62HXP83ySZwT2jvtGHH36Yz3/+89x1111UVaUupFkIxJEAsswBbhv/++tuFi6aXUIW4wQC72R8wCsGtp5n0fpemLJFYrNttgyveL0Z1uHT+ybVg2SSifpUAoF/zWp7MmRpKWIkt9w3fYX1Mliy7ePU1zviiiiG3vdBohsvyKkN+bSjkMyGNkCafiEE+tLq/OrASEnosUdS7nLNJ1ost3/8usSkHGmajN75zYnPplmLosTnZpm1dTSnUQzUBGlzIJK2tzH1Yovt6SfRXn4pYXtHOJTUkyaCUWRZ4RRaTacXEYrl7IaCEIkUNn/C5XoIKXNrbyQiufObydujVFZhDibmP5pHj6JUZVbYXrrtCH/2i2IOxzMoymTh68C6Gyz3C6y7PutzT8V+1rkgTVAEZ1fqPHW0cGPbS8MqJ08TTzD9foTLDcAffl+wS+XNQw/Cju2x/2vafjRtX9J9laAPJdCd+oRSovVvRq9en3SXgAkf3zXZd1WvFxkonlqgLyKotac3nM2GBry+Psvvyso07vtFbnlho6M6JSWJ/Stw0sloY+q/b6io5tzyyfnmLCtxOscxyowZVw899BD33Xcf9957L42Nxc0vAkBKZKkD6bIhpeSPv++jvHw21kyWOBzPFPUKtr5N6LWnTnw2zRoikVP44gEHo7Ms76ozFF+Q0Cx3ItLIsYfDGxkZuRbTLAVUdH0Rw8O3Eg5vTHncdPTVxyEGcqu5YSwoJ7qkGrPcCYrALHcSOaURozG1gMrzzw2wb8/k4Of8yY8QeagWGo0VRE5pzLodhWQ2tAFi/WJ4+FZ0fRFW/UKWOVH6c594KF4vrndckXKf08+o5LrrW1i5qgRNE6xcVcIPfryat11qkVdnGJR89NopH+tR1em1rupoGExtXNXYJE8PZP+u2x8QfPtwam9I9KQN6BsSazGdWZ48Z0Ta1YIKmJieeaj+WK2rZ56SBRe1iBnluRkEHR2xFLOU57//voQC1Ep5OWVfuC2ja5hVrpzuZ6wUwWTjwosuZ/jcezDtFaBo6JVrGD73HsKLLs/63HHtGxggvDY2mT2t3OC5AopaDEYFldMcttLvx378iQBs3yYJhWaHWMHuXRLPmM6CqnZjGMml/ZVQP1pf4qLFVNTBXehVq1JaBx4VAoaYWDNSqqqpuD3/HLpkdIbT1LgaQ5aVs1q3zr9TFGG52JQJW7eMsG1bojfJ9dMfo61aDcCfjvrQZ1t16TmOeWbEuDIMg9tuuw2/388111zDlVdeyXe/+92iXlPpHEbtGQabyo7to6xeU5J0ZfX1RIgRotHkK1GFQD26Db1qaoa1SknJXcx3SLrCsyuxsyssaJj6snZoyNL0eWGmWY3f/+/AiwwM/DRrwwog+NFrMOuShMilQekaBrtK+IKllHz4NMIXLM3ImGhqdtHWNhmeEH775ZaCAdlgNFZk3Y5CMxvaADEDa2Dgp1j1C+nQMPPwqAhFYehT16Xc57t3tnLexmoef3ID/uhbefzJDdaGFRB55SVG7/7vyfbJEoSIr3lmLFmKy1tLIIWkt6bAw/3ZG1ebR1Ra0tSrKfnSrSgd7XHbDoeC/H3wSJIjYuIGhTSuIgsuxBwTAKjxToYQFwaD0tKv5Hz04VZospBhn4q2cBH6ofhw1ciLz6Onk2Efw6xyI13WIaGpUBQfLle8ayfc8naidafAjVEGLn0ub8MKQHG6UHfGvDAlGmysKoyoRdiEf6lLjLYQJSW43/cBAGrroG+WyLF3dcKYNs2YDHty40qvOT6tYqBRsRL/iZ9Le93FbpMDwck+OPLNr2XW4BxwKXB6RWa/7+++cQe6tH6//OeNexjNYaV36+YR1q2bpp7p9+Pw1mFbuw6A99bOp2paCLVblfgLr7UyxxwTFHVmvWDBAn7zm9+gqiqbNm3ioYce4t577+Xee+/l2muvTX+CXDFjBYONhljRukf+7OOiN88+lUAAm20HNlsR1XxMHYQKytTJlkBRumhwmnTOslpXHWGFhmkTPKOxPFaAJwWathddX57XtbVXXkbbmrkk7gSmRNt/JCYzniVNzfFy7KXX/UeKvecoKJqCtseXV2ig0duTILk8TltrEF9fhJM2JBbPtDzXFKXAGIJQ6OL4fRYt5sSTTmVjReoQMkHaRyaBmFJgauNK6e1NULPcHwoQMpMcF9YRGZRTyAazpBERiYXver2ioJ4rVe3ENHNf3IjVuEq9j23VGvRd8blOjjPOwnH6mZldxJSI4ezzigxjAaoar26pDu7GqEgj/54l0X17CXRO/n1nV+ocCuY/zhwKKpxTmTgjNjraiW7dAkB9vaB3lhQSHh6GsrF5v6L4LGtcjaNXrrLMf5uKe/PtoKZPbZheTNh95fszam8u2BWZsSLkZb/+NUqSl9K8+Q72WOSmpmPb1mHWHBef86L2dOGfsvh03YFdCQvr314ewjW71pXnOMY4JruXeugoRlPFhPyvy6VwwknFqRafL6rajmFYCBUUCkVjeOMvLL4QNDgMOmdZratTyg1OKIufqInRSNpYG007hK4vTLlPOvS1x2HWZJ8XpLYNxAz5FMqWyUiodTULvavHOiJNTl8qlMoq5KB1KOkd3zjE9Tdm3ien1riaxAZMWa03TY5s28zvj6Renl/gNGkPZdeXDgQUFrvTxLRFwuCM9/alqnGlDIWQ5YXLtwKQqh1pi8VbVddAnrW/41DVwxhGU87HV9fA8hWp99FWrkLfF6+yOfipT2BkWvvRppJbYVgbEO8dsPW/ljKHJxecZfPRpjhc7SL2L1/sQloWtxaahrYsdtOXLU8fljlTnHmWmJjUj4zcAqSIwFDtmJ6GpF+L8CDB1R/NaHw4t0rnxClj6OCnrkMmW/zIkxFdoMvMftz/vfK9tIasRcpWrCxh185Ry+9SEYlIKqfFiSpdXSgLGhFjZT+O6InezicHNHZPrwk2xxwF5NjrXYaJ2jGE0RwLG+nrDfP2y+omqqTPNlS1s6jGlf3wI2gDuxK2m2YVZ1T2c1bl7Eq62jGqUKHFTxxkqSNtAncsTyL7UJmpKANHcf/we9kfaEqMRRnWKZlGVbWNr98xNhszzTnjaoYxa0tQe7Mf1MdRm1vQ21oTtuu6yYknlbFsefo6beMYXdM9V7G8q5gfagyHgxpPKSeXpvaGrS816I1k15cuq4taTl7T0RoO0pLEuBJDoVjuXQGRqht7dyxP9eJL4PJ3Fe6ZUdU2DCO3/A+AhQuhsSl1e2zrjqfk+pvithldHSjVmQlaAGgHcrUo7cCk18soaSRaf1qO57JGdZShD0yKFzQ4JX/w5Z/v/LejGjX2RKMy+OADGK2xMMvzzoeVq/K+VN4YhuSscyY/u933pj1mdMNXQLde6HHu+RmaL3VO1jiVNnh6YHKhTymvSLoAlC+tQYUqW2aG/qq7/pvgSy9YfrdyVQm7dmX3HpZSctc9iQXl9AWNDIz1ByklVk/jJV49YwXLOebIhWPPuFIEkVObJmL8w2GTYHD2PkSK0odpFk9FLeo9Gb0mcWUyEtmAS43wTA6J78VkQ7mRqHSmm6iHExW2xlGU/oRiq7lg1tahZBlTonQNx/KJciyOK4TgB9+N1ekSR60LtM5RPMwaT16iFo5zzkM4Eo2HB37Tw3s/kN2iiestb0edF5+XoShHUNXWuG3ue+7mltbkymMA767XWVuS+XuvJyxYls5rBQSv+lDCtirNRqPFPQAQhsSsKKxxherAfvhPAPT0wC/vLVyyumEsHhNAyY3Dh9PvI4Rg9Fu3W27PmFziPoHR0WuYWoFFGBFMd/JwtVxQNCe6L1797aUhleE81vFGdXh+0DoywPD1oXhjYf++Pnh5U+7XKRTRaKxvxtAJBv8l7TG23hdQR61rNtq7nyZaf1bG1798Sm6a4q3FKGxi4gQP9NoyXg805zdgtLdbftfY5OTEkzILnx7n4IEAf/pDogKhfHkT6oKYaNqArlNpUbLiHwMqd3Xktxg7xxypOLaMKynRdvvAMTl4/P1vR1i6LPPV45lmZOQmivYzSEnZ01dbfhWNrsepqFzinV1y7L/sTnxZy1I7ykjyHAPTrCQaTVPFMBNsNjCymAFIiaxwgi2/3+8jH2vCMCTS6bScvM5RRDQFoy73wpC2NWsTvI1SSs4+N3sj2ejqRNjj1fqEGMVm2zttGxhpwnz6o4KH+jJfOHEokjIt9WRdjAwjLIQ0Lq2uw6VYT3z1hZXgLPAkRoiJPLn6enjzWwp7eilLcjxOkkJnJA73+69GhmPvNDMcRtiyq1klXTZEKPt3t6p2Y7NtnfhsOgu/mKNgo+TLX4zbdkalwbODuS/kvTqickKZ9c01fT6UsXDu+nmx0MzXm34fjDsiNW0fLtcDaY+J1p2OMBI9V8poB6arDtTM+8izgxp/H5PAV721mElk0GcStbEJOjssv1MUQWWVLWn+qhVuj8aFFyUuTIdtdtQlywAwkFxYmdghau2SnsixNf2dY3ZxTPUuxeePq6XT0R5k82u51S2aGSI4nQ8X7ezKSCtGqXXOhxABFGWIb7WlV+KbKUwJ20YsJmmKklJ0wOV6ACGGitgya7QdvRDNP5Tvm187yMEDAdTOjtiS5xwzijm/FDGaY+FRw0D6J8NZpJT8+we24/VmW+AV7CdtSGybWY+ixHtTZUkJrmDqApheu2RtGnGKqTzcb0sIx52OtDvQlyeKHzw/ktyrrHYU67mUE++ET3y8cJ4r08xd1fLoEXj8sczaEvjFPUS3xMRzZCSC+1+vzOpauda6ikbXEo0eD4A6tB8llGGeVxboK2oZvePrcdvOzbPe1aYhlQ3l1saVDAZQPLEFVEWBb6eoMzZTvPYq7BmLxo/JsGfgHRQK7lf/K2Gzo+2PhJuzW0FodJo8O+bpc158CdrSZVkdnwlhE2xK5ve6vLmFmhRSjtXVNrJJDfvKF/YRDCb2CeWB+9GWLAHAkJLjSxLz7esdJj2zTMxrjmOLY8a4EoEI2v4jcRPdRx/un7UqgTFsBIPZFbrN6ux9LxCtTaxJA7GcK1Xt52BAyauOaiHpjwrLmHoAadcgYj242mxbCxZa6f9S4uBmSTAaS9Yvy984bWp2cbgtiNGwAGPJ0rzPN0cu5DbQKuUVcbLaD//Jx/rjS7Fl6c00AwFCf/5jwvZYravEQsIVR46kXeX9ykFHxs/2n3waZWkcC9rO7agH9sdtGzV0ljjd1geEdUxvcaIGjLJFoAcKWl5DiKOoam7FTAHa2qC5JbP2aCtXE90ZqzCr9/aiLV6S1bX0ZdWYNbnc2wilpV8FwNb7fNIcn5yREmUwiOcjH4vbvMiV3jOaipAJxyUJc6345ncm/j9byq0kyrBnYFypdoQZTVhIDC15N5EFb8jq+qs8JjtHx4xZKdH3ZCbznw19EUGjM/PfdP7CJZS/6ZKk30cjkq1bEmtWJWNoSKe8PNErXqnrODZeAEDYNAlbWGylakyMY445isUxY1xpO/uIroo3pJ568ihnnZOb0MBMYLc/jcPxaNHOb+t9kWjdqUm+1XA6/0ilTXI0OjteMp0hEVdAeCrRkxeA3WrlUyKETr5iFuNoL21C6elOu59tVx/RlbUFEaBoanHR2hrE8djDKL2zpEjL/yGk247Sk7uHO/i7/wViIhb/87MOrvr37Iukm12dGBb5flKWIWX8JNr/2c/z3lPT51/U2iV9GYhaGDJmWqbT/NF27USMxied7wn4eXLIWlxB8flRjlirg+WL/5TbQY3lchVqcUjT9qMouUsPHm6Dpgy1MGyrJo0rxe1GuJIYqEkQ/miOXkHHhJdf63/VMh83X4wF5Qx8+INx24SAqxqiOeVdGRL+vSGKM4njK/Cr9GIRM01np5wwrhSlC8NIrgQ4FaO0GWVq3pUewLn3F6Bmt4inKbHnOWKCWj8P27rC/86NTsmXFmfu8dftdnb5ko9vuiF59pnMnr+hoSjl5darQQNtrRPjcns4RIma2HGEgCvmzUWJzFE8jgnjSgyFxvJfJhWrIhGTdetLcSZ7I88CYjVVkhcWzJfgig9iliQb7VXAoMFh0jVL3OMmsK7U2jslBoIo3YkTYEXpGVNUKwzhy9+FWZ96lVGMhiFqIKuymxAlo7kl5rnSNr+Wk5z7HPmj9AcgklvGvdBsyEiE//11D299Wx0ud/a/od7RjrrASgBD4PdfFbfF9spLBJ5/lt5o6rCwpW6DfYH0r/j9AYUlGYhZKL09mPXxz1pbOIUM+2Cw4EqB49gPP4I6FBP1UFXQ9fwtLE07jK7nrhTY0ZG+xtU4amMTxlgx5tEnn0Q4s7tPssSOMT/X8iKxd78yejjF+JAbYjiM2jWMcDiRoXivWEdY5LSQ5zfghaHkz1Tppz4T99nhgGDw9Q3H6O2BcW2aUOgipMxskVevXh9XTFgYYYJrrsmpDe+ujzKsC2Q0gv9/7snpHKl4blDl+RS/y3QcioLTIqx4nOUrPBnLsW/fOsKatRa5stEoVYuXTuSu/vmoL2kNPpuYJSE7cxyTHBPGlTIQRF8ZX9iyqzPEx68r7MBRaFS1A10vjgy7iAxj63sxjWdFsKFcnzXq381OaVkkEkBWujArEydxQkQJh88uWBvsf/0L9kf+nHIf6bYRPT6zlchMWLDAyYUXeVF8iQVa55gZzNoSlL7cVAPVpibCrYd5y9tqedd7clNeM7s6UedbvwtieZmTE4HoGWex6uyN1NhSe2uXuU32ZmBc9UcEZ1SkNyyVnm7MuunGVYhmRxLjaiSMLCuOcRWddxbSEcuP+vBHRVa5GsmIybC35Hz8x66BE0/ObF+hKJT9560ADD3wAMKdfYif/fkMpAktMIx5qEonRvmygpd+GM9dVGq8mEfi87lOKDXZPpr9wkNbUElaMsTo6mToC7fEbfvSfwns2ac8FpQf3iVwOmP3VtMOk2nYcWjxO4g0XTTxufSZjyL03EpFnFmh0xESCLeH6MuZybhnw0qPwclJREaSsevRP0HIOhS1osLG0FBmC1yr1pTyjndZvGuHh2g/eGDiY080TF2SztDgkLMmJWKOY49/euNKDAYxvR5kSfwDdOhQEKMAq5nFRFGOZryilS3SXkZoaeokadOs4LTKo2kT2WeKraMKAynioO0vJSoNCREkGl1bsDZIjwe19VDyHaIG6sGjSUIUc8NuV+juCiNGR5EluSvXzZE7Zl3u9a60RUt45Zkutm4ZyTrXagKbLWneTTh8OkJMClioO3cQvO3zPDucXEgCYgptb/Wmn6wscZtcUJ1+kiTLyhOM/9ZQMKlxhWHG4pOKgDq4OxYuBeh6TJ0tf2yYZu5Sc9/+Znb7R/fuwejuiqkFZum5yscoCofPQepR/Cfckn7nLBH+aCzMtroaY9qPIgT8osuWtYL8f3fYMZIUqjX6ehGu+P736sswrUbzjPPdb0/+PxKxznu2RHXh3nZn7P+hQRAq0pbbmKCK2D+haUgzOyMoE2476Mgo7Hgq8zo7Ubo6k36/aLEbw0jfQX51bxcVlYlhgWYohFwzWfsqYpo4kyiZtgYVumdJ1M4cxx7/9MaVtGvIaQP44GAUQ5d4SmZXDafphEIXkWsifTrcW76JOtKacp/R0RsZiVbSEZod3cCpQH0SQQuEiJNgntwcopDd2Jw3P/nLX0qUgSDGksJr/Z54Uhn6qjVzRYRfJ6THjszRMIpc+n5KTlzP6WfkvlDiOPs8tBXWITMOx9No2uRs0aytw+nzcSiUWjHQo8LPu9LnIj5+JLP3ZOA/Pg7TjIDbWpbiTeJBi2xoyui8uWC656P4Y+ITy5ZBZQHWqPz+D5LP+/gDV2cnqOC86BKUujxCmgU5JZwZRjNacAfawPbcr50EJRBBemyxmm0W4dWrSkx2+rN7zo5EBN4k44Lp60P1xudaX3yJYMXK1+89ahiSD30k9n9F6cZufy7zg4UgsPYTsd/1wJ8JN74p53aUaDGVRSkpXGLiFHojCnXJxuskHKmrxeywrnUF8NlbFxOJpHdDf/ijjWgWCzfy5U3YpoQp20TyvtYWErTOkrnPHMce/9Q9S+kaRjkaiKtrBfDXx/oZHJjtyYrBnOupZILW92JMUSsFNttrzPdsZaTwi1o58f3D9pS2hSyxI0an5plIVLWTqUUx88Won4fSba0YpvSOouTo3UjHU38/Svtb3leUc8+RGfpyL0Szfxi+f9s2+v/wWF7XDj2eXNhmuhy7rKqidGgIX5qcK4AbmlPvY0hY7DbTilkAOB78bcK2H3e3WxoUYjiE2pu58le2mO46lGAsOb6tFTa9mO8ZIzgcf8v56HBY8qlPZDfRNFoPMXrnN3GuXp3TNaVTg1D2eYJS2iAq0WtOzOm6Kc/ttsVqcDkcGBbCQOdkKcneExbUOZLfV9PnmyggPM4Lz0t+8bPXLxrjcBvc/tXY9VW1HcjunVKy6bMoI62w76G4EMFc2BNQaAsJbMcVXtDClNk7pkPzGwi1WxdKBtj82jAH96cWwRkcjPL5W6yLqOtdnajHnzDx+efLk0e11DvknBz7HEXjn864UtsHcTy+j9EfPYf9xcMIi8nQ43/p5w0XzoJKgilRCyYfnsC4nGuaooPR6HpMYxE/63ydA9THSPeaM8udiOHJeG1F6UbT9hS2ESUlRE87I3G7lGh7fbEJeBEYHorS8dALRTn3HJkhRiOILCerXV0hWvs0zr369LyurS1djlCsX8cJcuyqikPKjIyrT+11pFRo2xdQeLQ/g8UJ00Q/Mb5Qtykln2hosdxdljgwGnOvGZUWxQYy9odForBrZ36nE2KUSCT337CjHZqydNRFNr/C6A++i++OO+g75zSCD6YvNDsVvaUqvcSjJS48gz8GUXjxHKO+FFQFxetFbUhUzTyl3OBAMPNpx6vDKhtS5PWoixZjm2acVlRAe/vrZ1x1dcH8+bHfJSZalWUepqlT8cibYe/vqHjkEhwHs+sXU9lQbrBpSMXzvg8iC1xDMZc7fMnJp1Oa5D0HcPwJ5WnPu33rCE1N1qHInh07cC6KhVePGjr/3Z08L7HeLunJMqxxjjkypajG1ZYtW7jyyljez/79+3n3u9/NFVdcwRe+8AWMTEvZT0FtH8T+YjvKUAgkCENif6UTtX0y98A/qqNHJRUVhZHmLhY2206EKI5MsXZ0O0ZV+jwkRfHh8dxdlDZkS9QENY16jzGvFDlF1ELT9qLrywveFn3Kytc4avsQZn1pQXOtptJcB/vdqT2NcxQXWeVCjGRXTPjOb7XyyRsXMvip63K/rpSMfid5wo5h1CUUEo7+2/tYlESlbyr1DsneFGFYm0cU1idR6JyKOFGzC2sAACAASURBVHIE1z3x74qDoQBfPLzfcn/blq6citxmg/+kLwLg9YLPl99k2uH4R14LNW1t0JRhjSuA4IMPMPSJjyNHhsEw0HftYODDH8zOwLKriEAOE2YjgmgwoAhqacpQbPFLBoOE//JIwvduFW5fGkbPUIDkohqdK+qT/43C6USpj1fcrauHFLVqi053XI2rbgwjc0Vgx8EHcO35Gaq/A6SBNrCDsic/mLOBtaEsZlxFXns1rth5vkgJ1zZl/3w/29zE5nPOTfq9osA3bz+Y9HuALZtHWLvOOg/NOHwIsTqWc6UJwZW1ye/9fIc5J2gxR9EomnF19913c8sttxAOxyYrd9xxB9dffz33338/oVCIJ554Iutzaruts5anbt+7N8DFb5nNhYNj2GxbiImPFx6pOgktvDTtfqZZg6L4UEUsPOj1pCciqE8R/gGAQ0PpnJRjt9n2EI0WvvK8GBxI3BaIoC+uLvi1xmmRPXQ+U2Av3BzZIQTagSMZ5yfouklTs3NCEjhdUd9kyIGjKJVVyb+XlQQC8SGjNs3GG0rTe4aWuc2UcuxbR9Sk5Q+movT2YEzLoUklZiH8EaS7uAtc9q4nwQhT481f0EJVD2MYuavLHm6F5pbM9x+581vW279zR8bnkA4N6cr+HmsDOzH12Lu/oOgmcjxEX9UIv2Cda/Tnfi1jj8G32uyoqXbV9YSw1IoKGEyt9VJUYp6r2P9NszKrUiHuLdb9wr0l834xlUanxKmAbemyBGn8fOgKCwI5pBO8sbyKEx9JNLrHsdmUtGUVtm8bYe1x1saVXSjI6ljU0nPDg9zvS16zcqFL8sGG2Z4+Msc/K0VTfGhqauJ73/seN910EwDf+973UFWVSCSCz+ejujr9RLWy0o02pe7P6LD1y0EZCeP1xh62FStV3nhh4WSyM2H82tnRi8ezHCiMOlxcG4Z6YeklGYojCJrLNaIlpdTnWbYpt/sQo9KEb9dBRRoNXVnuRkzk2EVwu9cyvRvn0w4AylxgM2KjNKB3DKGe0oywZ/64ZNuG46sDbJlXln/b82xHMZgNbYDM2hGeX04JCqo3fT7kg7/t4otfjnmIgw3zqBJhNG/qsFGrNgQ7D2AuXZSmfb8Brp78eMIa2hWd09L8Tafa4RdtMe+OVRu6dsPJTfb00WWhIVjSgmfKsUdGfawrr0pot5SSkF2jvDZ1Haa8+8UZ11KiOamuhYWLwni92cu+T7ahD7d7GbkOiRdfYlA/T1Bdndl6Zdfe3Zbb9b27M74vMqIT3ePDvjbLsLPO3VC9iupqHzCpUJnv72H0+9FHIjhWlyKr3AT9w5bnfH817BwGb5K1gfFjIibcWAY1juQFdI/2tlN10fkJ29/17gheb+7h7vnci7ddqrNkqUpFhQDeRElJFotyg9b9QhvKvF9M52sVEPzldlxlHirWZr8YaXXdMgMadajOrrYxTx/pp2vVEq5I8bc0NLgBO17v5MmntuHydzayaJG1gk3fwBFqx947geBRlnkqkt43KeEbe+CmFZm3f7aMZXPMfopmXF144YV0dExKZ6uqSmdnJx/4wAcoKSlh4cKFac8xMBAfNucoc06EHUzFLHXg88WSp//4UDfvvCK3WjO54PWWTlw7G8rKjjI8rAL5J31Pb4OmV6L3ZxYCUFam87kFw9hGBb7cyvxYtiFbnh1QUQScVpF6OUzb2o2+qnYsk/ZDQLxiWr7tAHD/9UkiNg/6uuMBEKEIclBkrOSXSxucPa1cdNb8vNuebzsKzWxoQzbtUErtKHt60TMImarxiolz6nUN9L6yDXuKQkfJ2hDatgejsjZN+97J1HeF/eWtuBvm43Mn93gBVJiwXNXw+XTLNvxoKUwrR2SJc89BzPIKIlOO3d4/yIl17oR2i0AETVMYTfH3FKJfOPfei165Et17Ev96pcTny24Vemobysr+P3tnHh5JVe7/z6mq3tPZO8lMMkkYZmUWdnFkFVkUWUTxIuroZRFQVMT9gnrxer0/73XlIipy5YrgcnEBFcQNXNh3ZphhVmYmM5NMkk4ma+9VdX5/dNZJL1Xd1UkG+/M8PExXnzrnpPpU1XnPed/vm2R4OLf6Yi4e/rPkXe+GcNjaM0JbtgJ9y+aMxy1fFylxv9rHUJNNYaQF78ClbkAZ7iWRSLflxO+hdA0jBAyP1ZOIJzPWaUi4YaOP/zt65vWe2o8nBlWeHVK5PocoS/9Pfobx1nfMOF5TKwmH7bn4ZupDITz7jKStXRAOg8fzPImEdSnLmuoVaAMzx4VetYKBAvv0cL9Ku7eOpp3bSNmsI9u1eDCs0eQxOb7SnveNGUmx5qtfJ7zuzKxljljs5fFHuzn51NoZfRge1qkIyox9kskkAwsXIca+23FwmFMqa3L+luu8CuGwtb9hvrzLyswvshncsypo0dzczB//+Ecuu+wyvvKVr9g+X1+ReVV4/Pjml0d4/boSBlE7iB0/bDsokU7UgS2Wy8dil/HMkOBpG5nWS8Ebqo28hhUAqoIYSiBEFK+3OIW2bJgLm1EOpN0JtG1jrjMllkhXent4pKM0Oc/KWMes8yOGc0/KpJR8/KOvcOSSya1e3z9dhtqWf8EoE+7TzsD3jnfmLBMI3IGi9E58Vrr28+yG54nnyV/jUaBCzWwodsYFv+q1tr6WeOsFpM5447RjZ1bXsiiDW6BUFPQjcht9TiAVDXUkrTz2+98VV9fo6CeLOv+MM+3JsAc/9onMx6//uPVGhShIVcC/4eukzOPt5V+y0p1DXEG1xZnztqkCqjRJPkHfZ4ZUXldVmJRtOmvH3Pi6n/i68T5EbLkEAkSPzjwuokfbGBeHsK7aoLdmIUa4N39hi7w8quAq4JVY73Ix5PMhhoeylnnv+xdy/IlVGb/TVEFdXWZXWHPLZjyxyQX57mSCpjyeMF961ebWW5kyFpk14+raa69lz549AAQCAZQcijHZMBZVkzxpEWaVFxSBWeUledKiCVWqO/9nPwVUOwfoRKNX5S9WAK7uJ0DaeSFJTq09YCmovZTcuNPD/nj+p7VZ7UUZjiPECInEGSXpi7lgQTrXVUJH6R1FVpb+ARy7+oMcefoS4vF5oov/j4qqkDqxJWfc1SMP97NgoXdawmChqiSfKUztMf7rX2HmCRIxzQpUdVLUwmxopNWiHHuVK/PfUqVJLm2ypo7o+eW9kJze1ohh4MnwwFUGY0hf6XMMTs11tWoNmHaz046hqvtwuTYW3A8pJT/8gb22fRdfQs3td6IdtRo0De2o1dTcfie+iy8ppAPWy5oG0TVp8RWvN3vsSyGIaAoZmJzMBj/+qaxlT6kxeGwg9xh5cUTJGQ8odR2hZl4UjIyCg7aELX758/T/VbUDt/sFW+cmFl/C8Bl3otesBkVDr1nN8Bl3klhcwLgYwyXg2+ZSzLBzMXb74woL88VIZ6DO5WJ/QwhlilfToUgJ99yVOR3KIw/34/VmnuSl+vuR51848fkd9U00unK/uys0yaj9bAZlyuRl1kyRq6++ms9+9rOsX7+e+++/nxtuuKGgeoxF1STOXkrFNetInL10wrBKpUy6DyRoWZRfQWuuUZQBXK7nSlK3q/cp9AbrK5K63s6eWC3/tmtuV3A648JSQkJZlXYN9fnudz4gewyjaSFKfx+uLb3oKxpmJbGv7wff56E/DNCxp3DXpDLOoHQOZ1W6M03JHd/dx7XXTdfdVhoa8Zx2RkHt+S97L1rLTNnq6e02oiiTEmiyoZGFg4OELcgrD6QEu2Mzx/CXd3voyHA8E/ErrkYeIrqxwh/I3NcqL7hKvxNuBhaiRNOTsLt/KMmgQ2MJw2ghkcjuppSPvnBhE3nfxZfQ8NcnODqVouGvTxRkWJl1fixL7wHawY34X/oqIEil8ivK2kFf04SsmDSuYr++D6lnnrmeVqPzt4HsY8SUkDAF/hzDyBwcRFmYOb56yxbYvdtav51keFjy6s7xHFedBXmoJBZfwsDFT8CnUgxc/ERRhhWASwHp8eC76V+LqmcqAylBXZZFm1xoQqGx/UjUruzGVTCocflVLRm/e+A3vVRlUYLWnn2aQNekUbYzFsGdZ7W9oSzHXqZElNS4amlp4d577wXguOOO42c/+xl333033//+92locFbR7+knB3n9Gw4Pl0BIkUodXZKa1eFdGJVHWi6vKAMcEXycrjlOpqdLgcvCaJQBN2bQg6p2YBjtJemLsXoNsQ99AhFLYYYyTyCdJvqJz9DW7mdvh3OKTmUKw1xYmVU+875f9nDWOfUEg9NX3YXLxchXvlRQewcvf2/eMulcV5M7V8aChfg1l6Wdq/6U4KXhmbPUPTGFI3zWJkjBD31g2iJDXyrJ08OZd9u0V/tBLf26nRFoxqhKB+jXh6DQhXm//05UtfCZ+N4OaLMhw+4k+tI6W4s/Wt+L6PXpWFKf75cIkd09yy7a1t5pfXGffCoynnmxqN0n+eKS7O63EvjSkbndc9X6eqq/klldr6kRerozflVSuoqQYS8lqytMnvvpA47Vd3TQKHjNcfhtbyd10rqcZT5w+csYGZ7BkYgx49k7ji9YifvEyYXl06vyuyY3uU26E4eFu1OZw4zXzKja8NIIb3lriZLyOozX+/vpSUGdwjRI1R9n62UrpRufexMp8zBZvRECs9pLWsa+dKvj3u99i+Qxs/dirLxiPW3tvvLO1XxAgGvjTAlfKSWnnlbD+n/OvFqu73q1oOZkIr9BbRgt6PpkTJfZ1s6SD3+cN1Xnn0As85tsP0SOXTfTsS9WHxWHxkjsisfo0zPsmhkmSp6YNcfQ/OihdE66UEgULMeuaR1FTYI7OqC1cBX3olAG47byiWl9L00YV7rehqZ1ONYXfdn092/8N/ehb8+eXuJnB1wczLLx+shBlUQeuz+16WViDz2Y8bu5ynXV1QULm8cTCB/AMGZPXCsXr6sy2HrhFY7UJSU5c4/lwxeL4X7wtznLLGr1smf3dEGzgYMpqquzu5LGnngMoz4tw25Kyd29mV0Lp3JJo87qirIrfhnneU0YV6Ypec/7FrJk6ezsMhSLqu7DMDJvexeDSAwQW2MvmalpNqCqc+ScPt4Hmw9rxQxj6CWU20+ZpN50KRSQQ6YgpIREnNY2Lx0dZeNqzhEina8nPt2l6aknB3n11SgeT+bHpnC5kQl7hoU0DKwEikpZhZTTVeFSP7idB/rzWxRLM+S62h5VWOa3OKkwzRl97IjHaPPMlD4XIwnM4Oy5GCuRTgDq6gvfuYIkUHifvV5YeVTBpxeFWWVPfl6N7McMpJ+dhtGGqjpkXKUMXM9Nd/VS6uoxc1i8/5wjx9BZtQYr/LndHdVFi/Cc/saM3zUtgJE5EHYTAlasTP97ZOQGpJwf3jRn1Bhc9Pl3OVJXUsKLI4UvbO6oq2XonZfmLLPyqAq2bJkuX3zgQILTTs++mOSRJrJ9MQAH9RRdyfyLViMGPDZY+vjQMv94vCaMq6FBnb883D/X3bCMEDGkLDKpVAbUyF6UqF1fCBegc0Vzcs6ylfenBC1e63EDplZH7MBlJeuPiCTxf7U49TBb7Q0OIKuqaW3z8anPLp61dstkx2wIoPZOpjMYHdWpr3ez7g3ZFR3V1jaMfXvttdPbg9poT1FsnMpz3sIFdfndqys0qDkkPiLklrx3gbUFDdHfj1k7PVfPnkTmBMLKUBxZbT/fVMGYOkiTc94MZ55VSAVJis1IctQqWG4jV46TiJSRdsO0SPToT05sVxpGq2PGlYimZiSNVupDmH3Zdf6Hdfjs9sxj5YNbvOlsGzmI3vMjUi9kjl1eukxwwydn3xtjzZpJtUC//6fA/PAI0RT43jGXYkaj+QvnYTAlWJbH8M3FM6PDBD70gZxlVh5VwZbN09PJNDS4ufiSxozlpZT0dXUhx3auupOJvGIWAO1eyZvryooWZZznNWFcbdkyylsvcDaGq3SUzoJRoj0Y1faTBOr6MtwKhFNz8yLwKJJqzfp18YinUbut5fGyixKOoHUMICsqECPDJWljRpu9vZgNjSiK4M479s1Km2VyYzZUoEwxrr5321725tlV9Jx6Wnonyg6qhu+it1sqqijdpN1h03j//V/54M6ZOXEycfORCaaK6T3cr9JgQUBmnOR5F0z77BKCdm8G8SABZvXsiQq59/0BEQszPARZPMRyIkSKWOzC/AVz8KI9QThHkV4XImbNSFaHdoA56UJoGM1Eo+92pB8ikpymFAig1Ndj5Ni5qnHBkC5mhDf2JgWqhVeREe5FCWV+70sp+ebXZn+18MknIBIBMB27tk5xefhJRnuKF4F6bljl+QwxnFap11wYedRRly0PsO6QGPrHHj1IPJ7ZqDP7+1HqQxM77D3JJE3u/MZVSsIXynLsZUrAYW9cSSn572/swVVI0oU5YnQ0u0RtwZgG3q0/KOjUWOxtLPElsubDKTUbR1TiNmK+4r5TYagEW/lSom3tJbWyAXPBZK6rUiMDAZLnvBmAj97QPmf5WcpMIv1uUken4yXCvUk2bhjhzLPqcp7jXncywmfPsDCHBlHb2i2Vdbk2oSgHJz6rPj9GxFrm79/0agxNWaA9t14nYHF+JBJx9EP83t7bsJA618wcMmaNHzmLboFmYAFqtIvmFsGll9l/ByhKb9Eu2jU19nJcOYpiPdeVUdE2EW+VRsXnyx37YhURTSL908eDa+0x+N+VW6xlbdDg5ZHp05Bnh1ROrMy/SGGGe1FDmeOshRBcOge2TWMjVFUJVHUfgcD3Z78DOfjTktP5vQMiH10JwUIbniaHUudyk5Rm2t04Cz6fSn//9EWDUIOHiorM732jYzday+R9rCmC5b78YSI+FTpih/00uMw85LAfVZs3jbJqdcXcvdxsoqq70LRXnK934BWMmsIc/12ubfTrUZ6ao0TCTwyqJC0/q00qQ/+GSDq/la90DWPWB8CjTea6mgVEPI4xFhF/02e2091tPUC9TOlQ9w1CPMUt39zD9Te0533GyGgMs9ve7EV4vQivNTc602wa270a+9zQQPXBgznOmOSsOoOYke5/yoRvdHis696YMydCv+nPHKepDMxuzKDpb0aJdGGako980P6ET8oKpCx8py0Wk/z47nmwGGJhQca/4asgp1+jaPT9OOFNYdYFMGtmXsfYvT/Ned7pNQZ/OyTf1TNDKidaSB5sDg4gqrO76f7Lp2b/d7nt1nEZ9q55oxQ4zrpVC3nOXZgL8lT2xxVaCshxNc4Ct4dIbR0iT5DkmrXBiX/39yX52Y+zC1To27fhnpLzbKWvgtcFMyciLlNmNjjsjauHHgzzlrceLi6BYBhHkkye6ni9rt6nSNnIbzUVXT8CRUR4sYit/mLoTCgs9Fp7WKdfWo1pwQGHd3iUgVha2hhInHsexlL7LpaFIF0u0NITjJZF3rzuZ2VmB+OIWlIm+P0Kx5+Y/0WtNDRg2Ex4lHzmKYTH2k6PYTROUxk1GxqptWhc7Ywq/KInHROzLargFtbvHXXnDpiyI5cwTU7INHFJGTPibkqNGViIEutGUURBAgYez9+QsrLg9vfvg9bW/OVKSfIEa+I+rvBzSPd0Vyuf78doWnZFP6soownwTH9/CJ+PwHUfzXneiVUGFzZM36E4odJgRSC/oVzx0U8gcojB+HwQjcyegWWacmLBQlEOYBglFF0qgCOba9mTKN7joyshWOgpfOfqvNoQje/4p7zltm+L8Mqm9E29ceMIRx+T/T4NHLWaSm3yb3sxMsywYW0BVuL4VKJMmcPfuNr1apTjTij85TjbBAJ3oKr2gt6toPVvLNi4UtV9LK1+gs45ynXVlxTUW0xIqGnb0fVlpE5wVm1RHIymEwZrYxMErxd12xZH28iGtnEDcszFqizHPo/QTWIP7+HGzy+xVFwIQfTHd9lqIv7AbxAZVPcyYRgLEWIyDjD+7vWceOI6S26kS6fIsW8YUTk6aH1y5HnoQZiSDHZPPMYv+2bu0CkDMZT+4gPm7ZBsOZv48sIlptPJ3AtfVOrYM3c5rsZRwxHEaJ7dbj2OVL0ztPdNs8kRUQuz2jejbiEEgx+5Nud5HgUeCLtIjA3HuAE+VVqKudK3b835fWMT9MyiHHt/H9SNeQ6r6gFMc37IsI8j3G4CGowW6fTx9eVxsnjnWWJfIsavGhoQsfzPiheeTz/vXt4wwpqjg1nLRX98F2bj5PUOqir1GdyWM3FOnU6qbFyVcZjD2riKxw1uu30VinJ4uATCuAx7ZsWbYhg9+Rakr76gc02ziSp3N+Hk3AyHJo+J1Z9Q07ah68tReiOIg84ZIcKUTO2EWV2DvvbYHGc4h+ehBybabm3zlo2r+YJLRRMwTQnCAnZi5mQibjlOS9dXEY+/beKz6Otj8QsvWFqhrXdLDo4J1mwYUTg6aF14Q+npxmyYfGZ1JGK0Z1AKFENx29LgxSJSo/he+Q6QXn22F69oUKya21zmuBrHWFSdN85NG9iMXrtqxvF0rqviF/vUfZkFCsyB/DurH1qUxD32MwjgCJ81w987FqeajcZGMavGVeeUBMLJ5OsxjOJd8JxEuF18suvPlgzXXHx/vzWjJRvNbi+vr6rOu12UlmNPiwpt3jTC6tUVWctWH38iHDGZB/C2Lutj+rQanVg51VUZhzmsjasXnh9mw0tzkMyiKIrLqZK5ygi+TbcVfLphNKKpPSy2+FJzEinhP5Zazw2UTB6PYbRihgIz3FAKRX21H+lWpxlXeDz47viOI/XnQwwNIsdiB4480s9Jr58fuVH+0bn58zuoaAsibMQRKfUhzMITLuXBxO+/Z+KTsXwF4uxzcQnrj3EpYbnfpNWiG266IR1ck+5+HfEYbRmUApWh+FiC79lDuiuJL02LJlxwkSBlK7dp8bsL7/tnONl5L29bKH0RtO35xpwk2XL2jKOGsQhVLVKhVDdRhrLnFMpn8O6OCb60Kz1h/1UnlhbazMEBovf+LGeZ8y+EI4/MX5dTrDwKrrom3XlFGSSd5mQeobkQj/yB34YL33aSEj7eVnxM8Of7utBeya10uqjVy7696XF1y21HEcixXdZz+20YLYsK6suQLkjIw2eBvszhwWFtXHncCsced/i4BKZllEtwEydHiK0oJvu6G0jykdbZz3UVN+GuLqsvIRNFGSbtxiNxbXBAzS9poHYOz1z5FQJt08vF128FKSdcagIVGpFIeRltrnn8sQFUVUBTELXH+gKO1n4Ext49lspKXUddYCcuQyEen5wgi6Ehav/zy7wat+aK9/XlcVISjqs0rItZALJi+orxnmw7VwkdPLOfkDP4t6uAdL4pi+KJYwySShWX/fc7t1rKAV1SpM+FiOSb8Ar00IkZjntIJDIn4rWKiCYx/Zl3M5RgJTJPSovFPsmm0fRC2S/2Q8iCi7jR04N5MHd+L9OEzZvyVuUYf30EOsfsVF1fPnsNW0Tx+6kf6OLtDYX7Be5PCP5lR3GLw4oQJFUN769+nrucIlizNsjoqM5dd2YXl5LxOGZrG/oJ6QRjppS2ZllVmqRnjkIiyrx2OWyNq46OKD/JoR4zP0kRj7/V+Wqf/k/UyP6iqhgZuYnf92mz7nucNOGCkPWHfSo15tqiKLbdtTKhbQujL6ufES8wm8hDFK/a2mcvT1CZmUgp+c5/d/Dh69sw6/wYLdZVpyqu/wTusZd8XoSg6qvftNW3iopbGFd3k1VVeHZuZ3PUWs63TaMKT/dD0uYq7cjt/zvt88ea2zPuXCXf0DY391HaH3Ds33ZObCvasLj2OtJG+BwifS5ELPczVCQOkm1hzzQDgK0tv+l1R1LIQOYFMu9550Oe3G+KgFqXJJwURHQsxfOkZdhzC1k1LQCrt6ITnPsWwVGrBUIM4HLNYfKzHKjS5GPbvDNyi1mlM66wsAilwHHiPh/E83sEXH5lC9GowZVXZ4+xNvbvw9PfD8n0AkNfKpUxTUQ2DiQU/jYwN2JeZV67lNS42rBhA+vXr5927Le//S2XXnppwXX++r4ezjr9aVYs/hOPPzrAr++bRafqIlGUPgzDOWkpz65fUHPfOnjuFir/8n48u35RcF1e7+84uWaU0VneNHlySOWP/dZWu12u51CUvonP0qNBoojo3FgKZTiO2ZjFl9vlhoR1l8WCkJKR26bnQ3numUEixUYdlymY3z0QZt3J1dTUuEARKD2joFtzmTV27yJ2/y8tl40/aC/PkGlWI8RA+oOm4TEl4VR+N537ejT+fZeHN/4Vbtjq4b4ea/ecGBnGd/t0l+O7ejpRDzWi4inU3QN56/N4HqGm5krgJGpqrsTjecRSP3Ih3ZWI1DDIdNyL9T68qag+SCm5+op5EAmviNwLTXocJTmc0fD1eB6houJW4JQiroVEZom1c605Gqnnf6lUqJLTn/Xzxx44/Vl/3vFphntRsuS4muiVhO9+e/Z+nw9faxKLSlR1/5iHxfxDqa2jwW2yJVLY1K8zIWguIsfVOBLyxlz9+r4eLjzvOVqbfs/p657KOtfTO3YjTj0d3GmDqtalcXObNREiSMd898xRvHmZ1y4lG1F33HEHn/vc50hMmZxu2bKFX/ziFwUnSf31fT1cd81mtm6JYJqwf1+c667ZfNgYWFL6isqpMhXPrl9Q+dcr0AY2AxJt4BUq/3pFwQZWLPZP/OWgv6jM64XQGVdosSjr6nY/h5STikGyypvT1z8vqkLq6IVZV9tTJ5+CGLW2K1AoYmgQ7w9un3asszNBR0cRf1eZoli5qoIrPzDpv28cWYfVKHD1yCV43vgmS2VFMIjn9DNs9S2t7jap1OcRIq9xdV+PxjVbfGyJqBjAzpjKNVt8lgwsqajED8nG+smWI2YWVBWM9tyxgh7PI1RWfglN2wUYaNouKiu/VLSBZfoXokQO0N0Dzz2Tu+z0PphoWkfBfejthTybJ7OG0Zr92msDm1AHZyrrTV6L/RTze5i1i2kTHAAAIABJREFU/nR+wAzIZBL03Lti9/Vo/OiAm76UggS2RPKPTxEIoB2ZewLt9cJseXYDDA+Dzy9Q1QPzLsfVONW3fIcTKw2eKTCnZWdCodmBnatPNLdj1tROUyGdyvhcb29HHCmhoyP7XE9tWkjN449OfN4UGeX5kSHLfWl0S7rLboFlHKZkxlVrayu33nrrxOeBgQG+9rWvceONNxZc563f2pPx+LdvKV5KdjZIGwfOiFn4N3w9y/FvFFSf1/sgr6t7nM747K7gdCaEZTeDtNLi5KRXb69JSwAXQtJA7RhAVmR3H4i/813gLnFQsqaRuPid0w61tpVzXc0Vjz82QLg3ic8/OfkQsRTay9aTAw988CpL5aI//hH6ttxy0odiGNONK/2NZ+HK44r3rb2Zx/gtWY5Pxf3Eo3jum9yJ604m+OzumXmRtO19iMHcCwJ+/48zHg8EvofH8wdgXBo9htf7u2n/qep+NG07Qgzhcj0/7Tvj6FWYviBLlrxMItE741whBsfctAwCgdsz9iFb33LRsRva51iGfRzpd0GWHSKt70X0+pnKp9n+ZrvXQu0ZASPzAplwuTDyJGMvZHy61h6Da/XanPXmS/rtNOPNpY2r+SXDPk70zu9zvDjIswUaVydWGizzF79z1Z1Ksuub3wY1cz/szPXM/j5cgUnvk2MqKjmrxrpycoUGcXN+3MdlXjuULPr43HPPZf/+dByQYRjcdNNN3HjjjXgsJswEqKnxo2mTN9+O7ZkDt3dsjxAKZc+BUGqst/04cCGOqAhlWIkE0Ia2Fngt2liq7uNPg15CocIUvwppt/9VOLrFQ1XeS2ICKqHQ5AqtTBqktvTgPnr6KqGVfpjDccS69twv4F2vQDAIi+0ng7R8LZ7+G+zfD9dO5oNZe3QdG14acmRMz+V9MZ/6APn7EY3qnPg6jebm6Qa7rJfEN/Xgs/h3jLrUrG1NPR4/2Eto7Qrctq7PmYAOjJ1z8fn8V1sb3orsMsVZHptsj2bv5wSRQVh2BMGxctv6kyypqZxxXizeiXdxPcKVa9KWeRFMVfuprGwg/TfVAZXAoVtC1aRVVqvGykxZkJEegiNhzNY6hkf8BIPTzw0GK8fOCQJ9ZELTOmyP04GBJKvXQChUnDQ1FH+PGIqCUunNfP2f3QzHviv9LJtG5t/D7rUwdIm6ILOwVGRnjNHnnyT05jOznl/I+Bx6/GECLaej1eTup9sdIRTKvKuWC7u/Ryol8fujY20FCQSWMXGPFoHTz86aK9+P8Hq5JOAiFLI2D5naBzMJy7M7e1jmwioPlb/6Fdoxx8CKFTO+tzPXiwVceI5onXg+f3n7Ns5taOCEQ2KZc/HQG0GI/Nd6vrzLysx/ZkXaafPmzXR0dHDzzTeTSCTYuXMnX/7yl7nppptynjcwMP0GW7rMz9YtM+Wgli4LEA7PjSR7KBS03HZlZYLh4ThQvMtXTfWKMZfA6ehVKxgo4FqoaiV+dwc7BlKEw/b7Z+c6TOXDTQrJQZN8QsJCDOHxnEA8PqUNKWFBBUxp10o/xMEo2p4BUsflNppEdSPKgQMYIXt/l51r4d2xB7O2juSU8rW1MDqSKHpMF/qbOMl86IPVfnz7lj20L/Zz/gUzfb1cCozuPQi+/BOSlNDo3ds7I3/VoX2IdOxjUKtA2Lg+QiTweP5OPH5eul+79nPbwDBXL1+d9Zxlfj9bIjMn3cv8BuFwbqVB/47dJFuXoI/18aVwP/VCmXEt3bEko4O566qpaRtzx5uOrrczMHAsMAIcQVpc4YQMNYwbkO1j/6URyWEwU6RStezrkITDmc5tA6LU1LRn6UMbAwP2xumiVkl1DYTDxcVlOnGPiINR6BtF1vpnfBeMRhmJByE+vY3sv4e9a+F+qoPkKe0Zv9NVP5GO/Sg5/r5CxmcCN0ldm/bsz8Qxx0q6uoZxuaxbA4X8HtGI5OJ3QDg8gqKcjmmqpMdz4ZTi2Rn5wY9Q29oInHAeWzpN6t25vUYO7UNVUqGvr/idqz8N9FG56hheL7zIDH+jnble7P4HqKtrJDp2fMfACG/11xJOWb92X9vj5pPtud2r58u7rMz8IpvBPSs+YGvXruXBBx/k7rvv5hvf+AZLlizJa1hl4iMfa894/MPXz3EWR0vopCXEnSF69CeyHP94QfUZRiN+rYcvLC6xgMMh/K7PYmC9SJJInH3oQVzP7s8bGDsNKXFt6SW1Mn+whDJwEO/P7LsL2UHp7cFsmN6X5hYv73rP/HQrea0yMJDiiccGeOv5mYPkzYYK1F5r8XdqWzv6PgtJLA0DkcUtJhtS+onHJxXuZCDAuXru8f+x1syThuuzHJ+K0t2N2TQ5FvfEY7QfqhSYMpBa/r8jGn2PreOWkQbeV/8Pt1vw39/J/Upzsg+7dkEeTYVZQ6RMlL4MhohpMHJq5nx9jlwLw8wZj6iEQpj9mXcLxylkfI5+99as303lHf8EFvReimZgANra0/92u58ofYMFojQ0YIbDNHlMvIr92KlHHVLVS0pJ9KUX8N5zV8bvrc71pJREt2wm/k+XTRzrTSUI2VALBLi2JWlVs6hMGUscVhIpF13cyG23r2LlURVommDlURXcdvsqLrq4ca67lhdFGUDXZ25/F0pi8SXE2y5EDy4GRUOvWc3wGXeSWHxJgTV6SSTO5J4Ds5v48IOLrL35FKUXITJMHtwqYtT621PpGcWs8lragTCaFqIcKK3cv9Lbg9nYNOP4L39uPcanTPF8+5YOrvtoW1Y3UaMpmDM+byr+d70HpbYub7nKz/+brT6mUaiouGPik7pzB488/HuMHAsMFzfq3L4yxlEBA03AUQGD21fGuLgxvyJl/L3vw2yYfL4eX1HJkd5DdkeEQLewWJFInEksdh6G0Qio6Ppihoc/TyKR3WXMCtJVgetAOqD9m1/LPWFMJM5kePjz6PriovuwciVos5/WKyMy4EKJznwOKrFuPLsy5xOaeS1abV8LEU0hczxLRaACmcj9fC5mfOZj9y4YmgXhPo8H/H6AJLpuXalutlFCDRjhXqo1yb099t71UQOec0jwqk5zsbeuDnV/5gTWVud6ZjiMS4CIT3rb6FLitpl87msdHl6NHVbT4TLznJK+GlpaWrj33nvzHrPDRRc3ctHFjYfdFq1pVhKNvjt/QRsoqREG3vE8ocbqglwBM9SYd2vcSboTgh92ufjsERZW0JWD6PqqGcfNKi9iOD4zCXAW1O4RUqssGuOBACJmLUFrocTWXz5tZ2Cc151UjWHIOc+h849AMmkSGdU5+dTa7IU8GqJ7BGr9eQMORCCAvmUz6qmnZy1jjo6QfOoJXCvtJ7FVlC7SMUcCs6GR5pdf5KCeyrlae3GjzsWN+thz0/qY1jZuQD/2+InPAkHwEItC6Y8gsySRPRQhogwMfJ/6+mbbbnhZUVxgphXpLntv/uKJxJkkEmcSCgWL6sMDv4HrPz4/7k/pdyGiGVT5zBSJtguznjd5LfxEo7+xbWSKSBIzkP23F0JQ+7/35K3Hzvi0oza8aBFEbSWWLoyXXoTlK0BVO/F4/oauryx9owWghkKY4V6qNPhjv8YVzdbzm3XZEJ/KR8jl5qGaapTu7IuIVuZ6RsduxAknYbRO7mi9vd7+Ynuj26QnKVhuPzyvTJmMlE31WcLl2oKmvepYferQDozgEaA452poGE18bod71rKV74sL3JaaMvB6H8z4jVnlRcmjUjaOGI6TWtMEOYPuZxfXU4+Da+YK4k/u7qL7wOy6aP6jsm1rhK98Lf+ucja56UNR6kO4VmWPgYL0ir7fiiWQASmrECK9HG82NrFgcNBSrqtCSLzl/GmfazOMVbMukFary4uBokSRMrP4gRPc/DlJNFL63EbRiGTzpnmQ42ocRUG6Zz7X/C/9F4ql2BMV06xHCHupJ8xQAKM9t3DAyNf/01ad+ZAjwygV1oQFOvbAw39ytPmM/OXh9FiYzzLsAGrzIvzvfh9CgFeRRGzkteyMKzRbTJuSjwaXmwWBCjCK2500h4eoeGXTRKJqQ0rqNPsCM01lOfYyDlM2rmYJ06xE1490rD53xwMk2i9wrD4AVe2iPXCAzll6yHQlFBZaSEioqvunSbBPRVZ6MautqRtmXNnNw8i3M0s3O0Xi7e/MeLy1zUtHWY59VujptmjE6iZqx2DeYsLrZfSQxLuHknzs78R/n3nBIB9T5djNhgZCAyUyrgwD//cn43UihsHm6MzJt2tTN6j5XyVCjBKPn+VoF8cxateAaVAfgnA+dRwH2LsXWudZqG/quJmTejXajemf6XacCVXdOyZZbx113xAimXuGHrj8qoJzW2ZCBCqo+srXLJVtbIKe7tIbwd0HoGlB+h06X2XYIf1sSjz+dwCOC5q8aMPNL2HCUgdk2AGCmsZbakJEP/UvRdXjecOpVCaTMCYeJJHUFOCr2+SR5UTCZRylPJpmiUDgfxytL9l6HqkFpzlap6L0c1TlrlnLdbU/Lmix4GagadvR9WVZvlQsTezUvWM5rSyUnYrnl/ciBg7aOscyUuL/xlczftXa5qNjT9m4KjVf/69dvPFN+eOjIB3XonblD+AQikLq5Y05y+i7XkUcKgxhkVRqLVKmJ0UyWIn43g9YG3BeIljpCyMO9k983puIsetQN1kpEaPWjFNV7SaROMXJLk4QXfMRMFOEQoK+2TCuOuZPjqtxtJ390/NN6VGkZn2MJZPH43Y/b6tNo60amcMtEGDoCzciHXyG6ju2k3j075bKNjRC98y8s46jG+ByCRRlfu9cAfgvuRSA02p0RgzrY/jkGoM31trY6srD0yODaJs3QaRwv83or36OmZpcNO1MJOhL2V9EXREwOL2m+Bi/MmXGKRtXs0Y6T5MTiFgvrp4n07EGDmKaTSzyz97OVbtPssTCSpim7UHXl2f9PpM7zDR0A3X3QN5JQCbiV12LtJEvww5idAQlnPnN39buKycSLjHPPTPEwIBuPa5NU8GUYFpYvRUi52q90bUftdl+/jSAVOoopPRPtFP5za/y1HD+HTW7KN0HpolZdMRjtB1iEIpYynK8FSRxUjF1Kq7e51DifbO2c2WasGKehdXoi6rBmBxz2sGX0Wtzu6dOxTSbUVV7Aj7uJ/OrYir1IYy+3IqBdnCtWInvgosslQ0GYWQWBC1CY3ou0ej7MU1rO4Vzxbib5jGVJsv91o2l34Y1BlLOzQ2a3B4S5184setUCO5jjkN1Tz5/tscidCTsvzerNNgWKU+HyzhHeTTNCkmg+EST40hvPfGl6x2rbxzDaGKRv5sVgdnRJF3gMWmysHMViVyV1S0QQCQNxHD2uCttex/60vqCMh96f/wj3H94yPZ5VlB6ezBDmYNvly0PcMVV2f/mMsUhpeSWb+7h+hvabZ1n1vpQ+vO/vNWGRsze7Evmxv79qM0tttoeR4gEijK5o+S+9jrOqra2+2aHQ2XYOxLxGTLsYiieVt/MSxxV7cTJ5+BU9Lo1YKZ445mwZm1JmpjGCSfCcZnSac0h6oERlPCk26Zes5rYyqtt1aHrixDCxi6Tmf/5rdTV55Vjt0Pkhz8g/peHLZUVQvCd75d2sdA0JV/5aroNn+8+SrWA4BRGxx6knt6l2TBiva+rK0zq8uTFssPtB/bh+ttfcD3zVMF1DP/b50m+6ZyJz93JBE1ua+JWU1EEnFjl3K5cmTJl42oWUNVOR10FKh9ZT3onzFlMsxG/kn7QzAaDFlfB/P67gRxljSw5XgASOkp/FHNBYW5TZkNDyeTYld7eaTsDU3G7Fe6+q7Mk7ZaBR/7cz9qjg4Qa7E32jeYqS3nV3CefioxkFwdwHXMsoiaHOmEOpKxGUQYmPldcfx1f27W1oLpytuPzoa+cVOhMmAZHeA5ZZVYVS0IfLtdGFKV0Wwjq4HY8HQ8gFNi6pWTNTPDnP03E0M8bDlUM9G29E6nam2hGIh9FSovPSsO09LJQQyFMB301jZ5ulFrr984d33Os6Ywc7Ief/x+AJBp9X2kbcwCltg6zP704c6TfpDNu7T38H7vsGy25qNQ0IiKdTqIQZCyGcLlJvvm8iWM9qWRBxhXAz21K05cpk4uycTULGMZCotFLHalLxMLpF6bDLoGQTlAai70HzyyNiiE9/0NdiAix2NtylpFVXpRsO1dSklq7oKBdKyhtrivp8aAffUzW72/4ZHtJ2i0DDY0err2u1fZ5ssqb084fx/vmtyKCVVm/d5+0LmtOLSt4vb+b+LfS2ES4a3/BdWXDWLIU/ZhjJz5f1bSI1kN2rqSmICvzT2bc7udJJo9zvI/jmIGFKNFOamtnZ0dp8eJ0jM18QgbcKJFJYZPY6g+Dq8JWHUKMThtbOcvGUpZUIt0nn4przdG2+pELMxxGDeXPqzbO9R+3J99uF0WBc84FRemjouJbJWvHKZRQA2a4F4C9cYU/H8wvAFGKy1evuelvaETpLOzZpe/bi9bYiDLFQyAlTRYUaFy9NKyW5O8s849J2biaBdzuJx1btfXsfZBk61sdqSsTXu9Ds+J7HDfgN+H8D3W3+zHc7mdylpEBd+ZEwkkdtXM4PSEuEHPBQtQSGVfmgoWkcswEP/2JrQwPl4Nsneaxvx8kmTAJBkuX5s/sC6O/ujP7990HHGglPROQDY1U9/XnKWsf7ZVNiClJgu7smTkJEgnd0sKFpu3CMBY72r+pGP6FKJEDKAr8z+2lnSGZpuS2W+ffLEz6XYjY2M6VHiX4tyvt1yErSKVWY8UzQqpKeic3D8LtQd/lXBoSsy+MUh+yXP7fb5Y42PwM/vB7ePqpcRl2+zmWZhv38SdOZL9+XZXBs0P5XQMHdah2OTvmQy4XXaEQSldhHhpGx25cNbWYUwztT7csLti4qtQkQ+XXbRmHKBtXs0AyeQaGYX+VPBPufX8gueic/AULJJk8nr8NmCRLHHbVlRA0F6sUOI4QmcUqJBiLC3O9mqiiro7kWaW53mrHHpTR7Dlo6uvd7CuLWjhKImGy5uggxxxXeK4lqakofbkVrtRFrZDMrKJnDg9BjoS/lvogKxEiPXbMhkZqDjqvaCk1F3LMddGUcmZcl2FOE1DITmLsHi7h68YVQOgRXC7BppdL1wxAd3da4nveoSoTCdK1/pcxqrOLAOXC630ETcvvqiUSes4EwuMoVVW4VjsXCOe94CKE2/r909Ao6CmhYmDnfklzSzq593xXCgRwr3sDyth93eCW9Flwz98fV2hxKMfVOFc0tbC69QiMJXne71lwn3gS1akUyhRF0//u6ii4P00eSXdZjr2MQ5RH0iwQDH7Jsbqiaz6GdDkvuzyO1/sQayr3c6DEioGdlnNcdWIY+QP/U2uapskQi8EYrpe7C3YHnKxIIAMlStueSGDWZhciaG3zlXNdOczdd3Xy5z/2W1cIzISmoO7Lo86nKFlzXem7XiX57NOFtw8YRiOKknbtSZ52Bo1rs7uXForvju9O/Ls7meCO7uk7V2IkgTKQf3wKESESeb/j/TuUkVNy5xZzir0d0NY2v1wCxxlPFaD1v4heV9iYSCaPw+WyIMmuqWDlPlJVonf/b0F9yYSS45mZiYZG6Ol2rPkZHOiChQvTO1emOX9zXI1j9vdjdE96YyxwmwzkUS9f7De5stm+xHkudsSiPDoyRPKcNxd0fuzX9yG6D2A0TRq0F9VZdxc9lDUVBqnZ0fIq8w9A2biaBYSIYClQIw+uzoeRmr/4DuXAMJpYFjxAZ6K0QyOctJLjajxiPH9flPDopEsM4HqlF31l4Q/aqZg2XFDs4Puf7024Z2SinOvKWUZGdP78hz7e9vbiXHdkhRsxkjtprxAia6BCMUqB40Sjl2MYS9L98fk5Y3CIuOmwwsKU/nckYjOUApWhONJCAm9N21lSMYtxfNt/WJrgkEPY2wFt7SVvpiD0ZfUAuPpeJFV/bJ7SmUml1uBybcpbTukdTecZzINwuUi+8FxBfcnYbtDe4mI6kbBjzc+grw/q6iGVWpVT1Xa+oIRCyNhkjPI3lieoyuMh/diASthBGXaAYysqObO6FnVbYQo0/vX/jGt0BFmfHvOGlPxrR3ZX7Hy8pV6n1cKCb5kyVigbVyUnhpSFx/xMJbXgdIzqwrbQrWKajSwNHLAkNlEMb2/UuSCU38E5ErnOUn1mKDDhoqSEI0i/q6C8VplQt7yCyOG+VzBSpqOhs7BiRYAVR9kLSC+Tndu/s5cPXLuouF0rSO9m+l2IaB4Dy+fHjM5UsTS69qMuLCzH1Tiqugu3+3EAZGUle9sXk7Igi20ZXQd1MhZjTzxG+yFKgWLQigy7RAgD06x3rm9ZiB7zGRCCY44VGJbcFQvj/AvgTWeVrPqi0Hb2I4biJNouRPoKXVxyk14MzJ0cWu0anj1p2TFkLIZuU11u+XI49vgSdQi46QsCRREIoU/mn5vHyGSK6D0/nPjcERf8sie3dXVOncFRDqdo2RuP8bmOHci6+oLer4Mf/WB6yXrsHdqXSlKvFS701ZkQbBqd3zL6ZQ4fysZVidG0/Zbc2vKSihB8/CNgU1rXLobRyDHVXZxbV9rIzjs7XfTnWQlzuV5AiCwS64diSLStaTcptWOAlEO7VgDatq0onSWQRc+zyl5X70ad5cnLa5Vk0mT3rihnnuVMPihjYSUiktu40traMfbOjAEwu7tRW4pb4TaMxaRSYwpsHg/Lf3kvB3Xn3HaU8PQ0AR2J+MwEwgkdWZH7eaSq+3C7n3WsX7nwbfg6Wt9LvGc9pJz1YJrGXc55uDmOVBXE8DCI4l7tIyM3YiknmVW362Lds8cwentIbXjR1jk1tTA85EjzM5BS8uc/pv9tGM69c0qJUlODOTiZyqHdJzm+Mveu92d3eIg6vDFe63IRTiVx/f0vqLt32TpXSok5cJDhH/5k4lh3MkFjgWIWAC0eSYU2/4RqyhyelNS42rBhA+vXp5Pdbt68mVNPPZX169ezfv16fvc7a3KvhztS+kgm31B0Pe7OP5OqL52U8TiG0cbewYv58YHS5ny4IKRTnychYSp1Arq+xFJ9au8o6oERRr/3BMrBKGpv9hxDdjEXLHBejt0wpu0MZCMQODxX0n59Xw9nnf40fu03nHX60/z6vhJGlFvoR7X/AbZtjfCb+3sdqddcWIn05558Vnzys2jLZooKBD//RbQlS4vsgU4w+F/pfyoK4oXneCninOud2dBI5Itfnvi8vmEhy33TYw9TJ7bk3blwuUorwT4V6alFiXaxeXPpJtMA114HPv/8XPSQfjciJtFrVhZVjxAjeDx/yF7AlLY83V0rVzkih26Ge1FsyLADqKpgYYl0JoQQXPEBgBgu1yulacRhhKLMWNi7+VUPsRzG0764gtOvooCiEjEMzOZFKPvtybGbvT2o9SF837114lgxOa4grY/533tLk+S8zD8eJTOu7rjjDj73uc+RSKRdC1555RUuv/xy7r77bu6++27OO++8PDW8NhBixBGlQE/Hb0m2ne9Aj/LhYlHVQ5xSU9qdq49tze8qGQz+P6wMUXXfIO6n9yF0EyQowwncT+/LLzpgEWNhs/PGlaIw/L078xbbunUUXT+8/MB/fV8P112zma1bIhiGZOuWCNdds3nWDaxS90MJ51YMNHa9SvwPD804Pvr1/ywqx1UaNzC5PeNBEE7l3kmzg/bSC2jPPDXx+f/CB/BMdWE1TLTtffl76X6JVMp5sY1MmIEFKJFOFi+GRG6PtqK46v3zd3VbBlxoPdsQepa8fxYxzSaSyZOzF0jomNW+7N8fQuDaDzuynWiEw7aNK4Annyi66YxseUXyk3vSYhaqWsLALqc5xLg6JmiyYSS39eTQ5uOU+tIVms3NKDbz9Ol79qC2tRO7ZjJs4JhAJW+pKdz92K9C3JifiyZlDj9KluiltbWVW2+9lU9/+tMAbNq0id27d/Pwww/T1tbGjTfeSEXFaz+eREoPUha55GMkEIkBTP/sKBFFo+/lph1efrK2NGIKUo5n6MmFMSY1bSGHztZw1uPGomq73ZuB2dqG9pI9V5R8KB17cD3zFIl/uixnuVc2jXKgK8GiVusTmbnm1m/tyXj8c5/dxrLlAXZsj3Dq6bX8/GcHpgl2LF0W4C3nh3jx+WEWLPRw70+n54L6+KeO4MHf9vK+y1v49y/uJDbFT2XdKTW0t/tIJEwGDqb4y8P9/Ob+zEbUt2/p4KKLi89HY1Z7EZFk1tg+1+o1aMtXzDgeuPLqottOM3kXuRVBOIv0eyHoxx4/LR7wY83thxQw0Y/Il+ZAAgIpZ+c5b/ib0XqeYdNOGBmBd73b+TZGRyVFLI6XHOl3o0WfJ+l9b9F1VVR8i9HRjyJlhlxWHhX9KOtGTvLpJ3GfeBJqqEhxoHgMtdl+vOKjf5dceTUOLGpMZ99ecLtAVQ8PGfZxau64a9rn11UZPDOs8vrqmdtXhixdaN076hsxpAvXY4/aOk8JBglUVeP7wfeJfegjADw1MsjxFYWn2ChTxklKZlyde+657J+y1bt27Vre+c53snr1ar773e9y22238ZnPfCZnHTU1fjQtu2ESCpVOktwOufuxHSgyO31CwhlfzNmOs9fiSwQ8n7Zdp9Xyg0kIBfKV3wkstVTn6HDmVVplJOHMdTnrNDjt9QRt5FbJ227tKjhhTd7lwJWrqhkaEhxX4N8xF/fIju2Z4+RGRgxOfF0Dq9cYVFZqXHWNn0RiclfO61WpqXHR3FyJ262wbHnNtPMXLPDyvssrCIU8fOqzKzCnCDgEgxoej4Jpgq5LTj61kXt+lHm3ccf2iCPXRY8bmH0R3O2Z47ikrrPnkvUccf/9E8fqqjx0fOD6accKp5pQSAAVjKw7iUQqbunvsvS3/+u/woUXwvHHM6rrfGbLZm5bM/kcS27oQqn1o+WsSwe+NtbHAvthh8rVoPaxNOjn8Ud1QqH8u+N2+9B9wGAHJOMoAAAgAElEQVTFypSluu3g5LUwRAf+VvsJm2f24Q14va8AM/P8Gd3DYEjUhdYms4nTXo/i9eIqcnzKq96fdmuzSX19FK/XR2WlNSvB6u8xNJRgxVEKVVX9wDKCNpUMneqHXcI//gG1V1yBWpn+/c6pgXuegVBo5spBsDbI+iNL05fFxKhethjlDcfjz6Gce2jb0aAbT20QtaqFirHv3l3rxyUEWgHjYxy3B+rrg1lfy/Nlzllm/lMy4+pQzj77bCrHbuSzzz6bL30pf+6ngYHsYgahUJBwuAQKbjbJ14/Kyr8yPFxYHodxvNt+RHzJZZClHaevRSCgscDVye4DISosjhA7fXhlVKEejXA4uxuTx/Mi0E4ikb9OT6UXZWimgWUGPc5cl1QK3/e/S+y6j1oqbuVaeH56D7KiguQFb8tZrr5eYcNL/axeY38yN1f3yNJlfrZumekyt3RZgNHR9D09MJBAUcA3bUPOYHAwPSZ0/dDvYHAwXWc4nMRzyBxA1w30KZ6sPl/ufjhyXVwCd8dBhlqyTzATkdhEW6FQkJ6Xt6PXhhxpX9MuQtejgITLP8gX3PnHu9UxUbGrg6g7iBkeYXNkFC0pp53n6hoiVevN+kwCcLufxDBCE5LxhfTDHgJXRKK5ouzZIwmHc7uhFdKHl16U1IfIW7cdHL0WqVEqzCCjNuvL1AdFWY3f/yNGR9fNKC9iKaRPy/n7TyX60J8Rmobv4kts92MqkXvuwnvWOahN9rw4qqpMNm/SWbI0v3Fl5/fYvs1kzVrB6GiURKIG03RuTJfy+S3ffQX9MYmY8n69sUUQDk/3KQmFguzpGWUpzPjOCcRoih45SuXX/4voJz+bsUym65DsGya4cw/GqWegj313057tfKltKUoRu5NfaU9fg0xVzJc5Z5n5RTaDe9bUAq+88ko2btwIwJNPPsmqVatmq+k5Q4gRR1xiEm3ngzp7gZam2cRRlV0ly3XV6JZc2pQ7pss0G0il1liqT1+R2dUk23HbuFwFJzrMhtLbgxnK75p2xGIfkVGHZZpKzEc+1p7x+Ievb3tt9UMduz+MHDFxQiDNye+Nrs6ic1xNoqGqaRVL1/PP8sONDuYS6gtP5HfbkyHHlYinwJN75cUwmjIaVqVEagFCIejL7ClcNIsWwbri9YlKhhILk6p/HTgQp2majahqL5mcuLUtvdjJuKrU1WM48KN4TjkNpbHJ9nlLlgkiuUMkC2LpMkHLIojHL8Q07fdrroh899skn3hs2rEnBlX2xWdaFYYEXZbGL7A7laQnmST6IWsLl+PoW7fg6u/DnKJUsiceK8qwAvjLgMreDNegTBm7zJpxdfPNN/Mf//EfrF+/nhdeeIEPfehDs9X0nKGq+4tOKug68Bjufb93qEfWMIwmLmjYz0JPaYQUtkUVVJF7FUyIJKZpzTgyFlWTPGlROueOIjCrvCRPWuRIvNU4gZtvcqwuGDOuGvLHLCxfUcHlVzk1GZ8dLrq4kcveu4DmZg+aJlh5VAW33b7KkTgnu/247fZVrDyqomT9MOsDiAy7puOoTQswuydjx4z9+xwzrgyjaWJCZ6xaw3saHRwnhjGR4LojHqPNM2XnVMq0O2uOiYwQUQKB2dcs1wY2U1EB//7/SjNB6u+HBfM5tEZxYWjH5s3BZpXR0Q+RybgSCR081mOJ1VAIsz+/AEo+hj73mYLipi69DFYUJ6CYkeUroKJC4PUeXurHSn09Zni6cuqlTTrNnpm/9atRhYBaGhGXHbEIe+IxKq+5nGmuB3mI/fZ+Em+9ENPmDmY+3tWk0+abv4I1ZQ4fSuoW2NLSwr333gvAqlWr+NnPflbK5uYdijKMrtv3fZ+KZ8/9xFZc5UyHLKLrSxhMHmDHsMoZtc7vmqwKGGh5zHrTtGcYGYuqMRZVl27rXnOlJcgO9UcrEKWnZ1oeoVzc/p29fPj6dkfanS0O9qX4899PYvHimjl1pbjo4kYuurixZONCX1afU53Ff9l7YYph4j72OIQ/kP0EW6TweP5GPH4x6tYt/PZvf+Idn/+yI0H78XdNCiIc6fOz3DdlB15Cam3uSY3LtWEyD9cs4jrwKInFl/DDO4Pc8Enn66+vB1dps1QUhTq4BeldnhZaqXQmLsztfoJk8pSZX9gYZ0p9CDNcvHFVKNu3QXc3vPFMZ+tNb8aZJJPHOltxiVFCDeg7tk071pcS/L/dbr6xfLowzkN9Glc2O6dEOpV6l5t+PYXZuAClpxvTwsKTGY0ifH6UvjCMxUHr0kR14Ln3+z6VEV3wzjyeNWXK5KOcRLiEJJPHZn4pWUWaqIPbMapn5sopJabZQLNHZV0G5SAn+J/O3C6OitKJovSXpO1CMRekH/5Okbj4ErColnnuWxxyb5wlhoZSKKogGJy1kM45Rdue3d1JqQ9h7N0z8Tm1eRPCoaB3KQO43WkVS7OhkcaBASKmA/esroN/0g2wUlVpmCLmovRF0jsXOXC5niOZPKH4vtjEDDSjRLq44ZOl2bl64nHQtPnrNiRMHbOqGhF1JibMMFpnSrLbzHEFoDQ0EvyMs7v/djhyCbQ57JVsGJJYHBSlD5/vN85WXmLUUANmePpzK+SWdMZnTgm7EoIFGXa0nCCkuQmnkmk59s5OS+cYHXvQ2trR104u3sRNkzOri08QX+OCrhKFQ5T5x6I8ikqI1/t7hCjc0VsLP08qdILzCSbyIkhKk6/uKU2c1/PDKv4cI8/l2ogQJUxUUwDGgoUoXQ7murLxm97yjT0MDjoXQF9q/vzHfs46p/gX3WGBEBgt1ZDKbNQoNTWoCydXY90nnoTw+R1q3AOkV5TNxkaaBgbpdSLXlZQYCyblrs1D5lVmKIBZm/tv0LS9juT3s4sZWIAS7eKaK0103dkJoWFIHn9s/roMidQI3p0/TScSjju18q4SDH4JmDK+BaSOtueOJVSV6F0/KKonMpFAaIVtGyaT8LX/dPa36+mBR/8qx2TYZydNilOora14Tj19xvEal6QvOf3dlDAFvhLlsm9wu9GlxGhuQbWY68oM96IdsRj3gw9MHNOl5BwHjKtGt0lPcv4unpQ5fCgbVyUklVpTlKCF1HwklpYgWUteBEFXF1tGS/REJbdt4XJtJ5Wa3d26fCQufTfGipk5iwrFaLW+jNrW7mPf3uKSgs4mZ7yxlvMvsJ/o83BF6R1F6RnN+J3w+oj94v8mPkfu+gFCdf6+ktU11I6OOJJIWN3Xgdq5DwBDSvYlp4891/P5V5iHhz+P7e0NBzCCRyBSIwQr0/FRTtJ9AJrmsWaB1r8RvW4tssqLvsq5uELDaEHTJl3IxFAcMWx/8Sv4qX8priOKQvDTNxZ0akWFYDTzLVowBzphYbM47HJcASiVVZgZFD5OrDJ4bnj6tLBU8VYAawJBPtDUQmrdyegrrYmcuU89nYo3vgl1396JYyOG7sjCUqNb0p0oG1dliqdsXJUMSSBwexGnS7T+jRhVs6u2NY7H8wSqcH63xIpHiap2YZrz62UlRkdxPfG4M5VFo7iefdpy8dY2Lx0dpUno7DSplMlPf9xFwKqG/2sAs7ECNZtx5fGQePzvE59TL290tG1dXwmkQFEY/M9v0OIuPs5G3bYN5UBahKMrGef5keFp34t4KmdWUZfrJTRtd9H9KIRk63kk2y5IKwb25i9vh44OaG2bvxMvre9FUvXp2B/tlcwJtAshlToet/v5ic+yyovZZN+19eDV/1xUP4z9+zDGjP75QGcnNDeDohyYd+8rK2iLZu4sv7lOZ5F3ujF1x6rSLezFTYPvHNiLrKlB7bD2zIj99B7MlzdiLpjcLRzUdUKu4j1tfCqcW1+OtypTPGXjqkQIMYCUNfkL5iDVdHL+QiXCMBoIeXqRDi9aRQ04uSbXw0ui663Mxap3Loz2IxyTY1d6ulEPCSbORVu7j47dh4dxpeuS6z46u5Lrc40MuBGR/KumRiTioEtgmljsbaST9cKiX/yc7mTx7rRK9wHMsS2ajnh8ugx7ykDmSOwOoOvL5kTMAkDEevFuu4v6kCDssBx7NALLS6A45xTawGb0umMA0BfXOlZvKnUUmrZ54rO6sx+RJXF7ThJJZLLw3QW1ZRHudYXHMAsB0sEXWm8vLGiGePxt6Prh98ybuugzTrNXsnl0clrYG4f/7SydgotXUTm/tgHp9aEvs+YZ4j75VNypJMbCSdflhw6G6XPCJRpKFl9W5h+LsnFVIlS1E10vXBrZ98r3QJZGCt0KptnEeY37iTvcBQlc2pjLuIoTiVzhbKNOYBgEvlCkW8sYSm8v0qJSIMDatZW87e2zK2NeKJ/++Fb6HEywerggK9yI0cwvdxGowBwdIbVvH+qUCYETaNoeFOUgAPFPfIYWT/E7V0pP94TEcUciRpt3sk5lOI6szKWYKams/Nei+1Ao0tdAcuHprFsHDl9q1r3BebU5Jxk55TakNx134n6xK3f+NVu4iMcvmvikDMWReXKcZUKpry9Kjj3+pz+Q2vhSwed/4YvOLthddbXgDSeD1/sAMHt5KJ0i8fe/ZjQ2T6qajK/zqXBJY2mf5zft2Q6ahve+X1gqP/QvnwShYBw56dXTk0rS6HZGydc9v9Z1yxymlI2rEqFp+zCMwo0r9/4/YAbnbjXMMBZyUvWA48ZVOCnYHcv+9FLVLjTtVWcbdQKPB7VjjyNVpXNcWTeW/AGV+37pnFJhqUgkTAYHdUINh99Eo1hSa5qQgcwrvO6TXo85MIBMJnEf76yCnq63IUTaqKv94uf4+7ZXiq9UCIymtJvTQT1Fu2dy50qqCsaCyqynquoedL29+D4UQcXTn6GxKZ05wUl+fT+Ox+04hpnCv/Ebkx/9bscUAwEMo3Ei7krEdfAWaFwVkUhY37kdlMLjFV/eCPsd9Cr89i2SVAqi0fc5V+ksogSDyENcfgE2jKhsHElPDe/rhIcPltbFe9y80yy4ykvTBCFInXwK+nGTz9JwKkm9QzkSepKC4bJnYJkiKRtXJSKRWEcqVdhESh3aiRE8AsTc/TzJ5CnsGj6DiOHsMk7UFLTnSNInRBRdd044wlEccikRpoHR1m7rnGs+NPvKa3Z57NGDnHpaca6why2KQNuWeVU+8J73o1RX41q4EM/ZzriW/n/23jxOrqrM/3/fpW6tvXd1d7o73Z2VJGRhiWBAQIKyIyAIqDAi6gDqDKIMLl/GHzOO4w5ocEEcdQZxQQbGBQHFBVmCAoFAICGBJJ30Xr0vtd3l/P6oLN3pqq7t3urqpt6vF68XuXXuOU/funXvec55ns9zaFh5GI/n0cT/+/y8tjf/hYnwDZ9CHChw/bEFLaz2H86vkXQTUZF6hVjTnkfXj8/bhnxRXeD1pm+XDevWQVlZcS5rS0aY8KrrD/1b+FwZhapmimXVYZqTtgJzULB1n7YRqSy1Y57WhlAfSl3uZSnOuwCaF+Z8+jTefxW43WECgdvSNy5C5GDdtELCAOWq4ImhhBO7PwKNbmcjaFRJQresRD3AyMzh71ZPN0pDI9ofHp3S1hQC1ab50ktjMh1JJOlLlMiG0h3kEF7vQwiRW4iO1v4bYq0X2GxRdkjSOCuq/9d2WdJf9LgYnmFVyOe7F3BOpTAvJAms/F80sTPPQd+QXT7dv352J7o+e2GimfDwQyHOPndu1eSyDUXGWFKd1AE39uxGf+UVotu2YfXZJzQAiR0FRUnsasr1DQT68y/U6r37e4f+/7bOvVM/lKUZJ9Yu11bi8dnJtzqErOFWYzz3rL3dfuVLxZuL4dl5D66+wyv/wm/vzpUQAXy+ewAwF+RWp01dtDiv56cV6kMO5q5C+sRf4Xe/Td8uU274uECWuxEid4dxNlGXLEOEw9OOry83eX408Q7eF4Zmh3OQalQXg4aO2dSE0j2zEqnRvheltQ1z6bIpdSJ/vHyNbfY0uAU9JTn2EnlScq4cIhx+H7k6CZa/GX3BKfYalCVCBOgaP5nfhOxNZu2KSTSmfFgbJK5ZcT7Y4uecn3ZlLRPcv3oAaWgoq3NcmkxXZ3HV/jqSD31kIS2tNm8XzCHU10JIQ9PvD3XpMiS3BqqK0pR7qHByvEBCXMCqq6d6cDDvHicLt1xaO0l7XAik4eiMzlUiRGp27wHL14DH6OaR39k3KRwdFdhU+9kR1P4XMGoOO7VWjQ8r6Ld1DFkeQjL6sWpz7FcIDgeBZY+6ajVSIPcvwesFmyK7iUQEbjdzUob9IL6rrkZNotASUGHclBACuiNQ77BzdX1jC2WKirH2GAjP/H5Vl6/Ad+ll+G776qFjlhBs6mq3zZ4GTdBXkmMvkScl58oRLMrKvpzTmXK4BzPQArJzCj2ZcnTt7XRF7X3IREwJXwqfU1H2YprFq7oUP/XtSLH8ZWmNdcciarIreNja6mVfEcuxv/zSGF1dc6cWlxNYdQGUviRJObLM2G1fpe/LXwYHalwdxDh6NWLRkvw60XX8X/w3AEYNgy/tPxxmKEV05JHU37Gq7kKSsls0cILw0R8FX9BWpdN97ZBFabqCI8cGD4lZAOBSkEO5F7BPRjx+PJr6Yu5CGZob4/VdOY/vPfcCpBzCEQ9S3wC9vfbcFN3dCcEURemes86V/vJW4n9/Juln59YajJvwuZWgOOxn9MXj7I1FiF34bqyWmcPfY4//adoxAXys0b4fZ6PHsj0dosSbj5Jz5QCy3I8QuSnXCNWH5S+Oau+KpBCxzPQNs2CmR5bL9Rq6vtzW8exEGhlBiubvQPi/eGvW5xR7ratVRwd4++nZOYzzDavGhzwwPcxGUlUwzcTOj2z/I3ds7P8lxl/QyBXNrZh5eBVyqO+Q2Ep7LELrJDELaTiKVZ461NkwlqLrx+Y8tl3IsSFcA/bWE2vfC61txTnhkuIjWK4jQtNkCbPR3nA1XT8OV2wXqDnew6ZJNI+4PH1bft9pfR3YFZXb3QmNjRKm2TrrAi654jpqJUqSWlcAF9fphOISLww7b8exgXKWenwoHftQX9gyY1vvuRegyAqi+vC75qWJMb5l487V8eUW1zS9+RRvS9hLyblyAEXpyFkp0PvSHVh+G7Nu88CygtR57K3E+d1VqR2EaPQs4vHZq+2VDlFVhdzdZUNH2U9+Vx0doLEpf5ltJ7AswYc+8BKK00ucxY4iJ0LmjCQr+zbl6yVD055ElvtAknhmZJBxM3epq8k1rvZGI1NqXMkjUURF6nuwrOw/gNkvHm1UrUYPrqemxr66Rm87Fc45z5aubEfIGuHjb5l2XN1pb6Evywpi7F+JFM9twU2uqcEaHMjpXGEYSBWVOZ17EH9A4i0n2vOMWrQEzjoHhNDyrmc5W1iDA4xvuiPpZ3EhMWxIXGp3FHMSdkYm+PVgH2ZLG6KiYsa2I5//LEqoD3PB4d3C3niMehsKCB8kZsGm/W8+xdsS9uKoc7V161auuuoqAAYGBrj++ut5//vfzxVXXMG+ffucHHpWydW5kiJ9KGN7clJicgLTrOeOlfatCPXFJR7oTR3umBCzmP1wyFRIw8Nojz6cXycHpGSzpanZQ3nZ7E9ck/HCllFWrgqkb/gmQF/TMG17NvLg/cSf2czYI4/Qd9oGIhnWc8mUWOwcLKsW3G7W9/Ri5uFPyD1H1LiatHOFYWGlcK4kaRwwKYZ8STk2gHfbnXzjm/bZ8sD9tomF2o7W8XtEEqU0eTxuY62rBNZoAwRy06OXVBVh5uaYWQMDRH/9YE7nTsauSgg7toPHC0IU7/sqHXJtMKU0/pNDCv+wzUvDr+G0Z3082Ovcu0eVJHZFJkCW8X195nQKc/8+zKXLiFz7sUPHevQ4DTbVuAJwy4mduxIl8sEx5+ruu+/mlltuIXag2MjXvvY1LrjgAu69914+8YlPsHv3bqeGnnVMsxHDyD68zd3+EPHW8x2wKDdisTO4p2MpAzYp59S4BB9oTPXQMgmHL7dlHKewFjSidM2sZpQOaWgIUVWd/XmSRDhsb4imXTz8UIhzznuTqgQegdAUlPbDsTSRB+9n6NprDtWTMba/wtC119jqYGnaM3g8v0n0/+sHeXZ8JOe+9BM3EDs7sUVzXnWQdZMEBIwVQdCS54y5XC8URUgggKVVog5s5Rc/gx6bysNdfQ2kWVSfNeIt52EFpuecCJ/LVsVAAClKorJsruf7cxPDyFcp8CA2iGkCCVn+ykoTVZ27i8SS243Qp8v1P9ircu12L31xGQvYPqFw7XavYw5W0KXRr+uJfNQZdvet8TEkfwDtqb+i7D+86NsTj9nqXAF8ZmdxRomUmDs45ly1tLSwadOmQ//esmULvb29XH311fzmN7/hhBNOcGroIkDBsrKfbGodjxJfeKYD9uSKxJULn8ev2LNk+0Cvyv/1JX9Aq+pu/P57bBnHKUR1NdJQfmpsIhBg4qbP5HRuX1/MtjAnuxBCsO2lMdasLWIptUKiKZhth8OExu74RtJmY9+0rzaOadahKIlkEjcSoSQTpkzR/vzYIdGWhwf7CSgHfq9CoOxJLVZRLPWtAHD5kcwwZ50NPp89Xf7zR0VeYgpOUvbUP4E8/blq+TWksH21rgCE5EVz/zXn86u//+OczjNDfchBexZwJsbzf4b+4PsCrzeEqu60waLi4o59yUPivpnieL5Uq66pz6wU7zizvR21bRHxd5yFccxxh46/vaKaRW77FUqL7FVbYo7h2F7vWWedRUdHx6F/d3Z2Ul5ezo9//GPuvPNO7r77bm644YYZ+6iq8qGqqVfJgsHimNBNt6PswH9ZIAQcdR7uxtyUh5y5Fl5+uq8RGQ9XZFDDNp0NI/1wShCCtck+3Qesw+fL/+9w9L7waBn1n7LNll0wEIL12dfl+PszO7n8vW1UV2f+knP6N2Kagi9/fQ11damT54v3d+oMsSd24zq+Gdmn0bVzR9I2xs4dNtqzBPg5Pl8Z/dWV6PGJGfuecdwPfwBkGRSFT1UdRUBNvCJEREesXYBclmpF9xS83hVkExbo6PehqTz3rAdFgcvfm/r3kokNhiGIx8MEbZY2z9aOpMRGQNHxJDnfNETCKc6w74xseNdq4G7Kyt5PLtOH3i99ibqbbkJypQ6nS2bHYGwMaUkrVXneM1tfiLBunUbbopl339Jdi107J6itHQEW4fU6dx87/cwqu+O2affOzumaPAeOK47Zc8poMNF3XS1BzYLKqfl1wWAZ0WA5+vlnU/Zvn4Vbb4XaxEQioo+yeIG9eW+NZSBXlFF7xIZYsbzLShQ/BUviqKysZOPGjQBs3LiR22+/Pe05Q0MpfuUkbvJQaMw2+3Jluh0mHs9OotGlWfWjDmzFrD0bkcPf5OS1eGvZJv579ycJeWcOL8nEhp2Dbs4KxAmFpi8JBQIvEQ6/F8vK7+9w/L74wU8gTf8z2tC8FBra0vaRjPoGleefC3HMsZmpgBXiN3L/L7o59e3VKccp3t+pcygeBbb3YrZUoi5fgbH9lWlt1OUrbLWnvHyM0dEx9AXNDO7rJNS8LGm7dNchcNMnGP/a7RgI/nXv63xpUSK8WWkfSijQLZwuKiDL/SiKhK5nnovj9Pfhrd6AeyDKztcgFEpeHy5TG/bvE9TWCsfszedauLqfRA0cTSTZ+ZJAihkZvVMyskE3UfYM4T5mGfH43zGMHAq3vvu9hHpHkNzJw7hS2SHOOA9E/t9BWZlgx3ad2mDqRYBMrkU8bjE29gaWVUM8Xnz3RaaM/+ohfP4a5ElbvMt9PrZPTHc+l/tMQqHUc7J8ON1dTig0hvS5f0dEBOiH/+6D18EYiyEvWYW26zZGTdehd2izodh+nSqExrYug6MDh8MUi+VdVqK4SOVwF0wt8Pjjj+fxxx8H4Nlnn2Xp0uycj7mCLPegqq9nfZ5QvEVR2+pIqj1ddMbsuU16YhINWvK9dlnuxbLqbRnHSbx3fjOvQsKe//kR6isv53RuMda6uuCiemqDJWWlyVh1AeQD9a7KPvGppG3KbvikrWNGo+ck/ufzX+CK49+acz9ydydIEp2xGNakgq8zybBbVgDTzGBru4DEWs+nrjqcdCEnW9r3QktrcYYEqv0vYtSmyHWzBNKojbXnJDAXVRGPr0fTnsupi/Ef3IWeZLEhHZH7f4EVyl+5tr4h/zy80VFBWTlI0gSm2ZS3TbOJ/8qrkbxTQ+o+0ZI8lPSGFMft4OWJxPNS3bYVdesLSdtYg4OIuJ7Iy5pU0uLhQXtVMQHev0Cnye2MumuJNwcFc64+/elP86tf/YorrriCJ554guuuu65QQxcURenM/oGrT6B1PoZw5yc16wRuWaYnZs9D5rIGA1eKOy4cfj/FoDSWjsiH/nHKgz1blDdeRwRyCy1oW+QjFHLuBZctu98Ic8c39iDLxf+9FRLh0xJCAkLgvfhSqu76Ieqq1aCqqKtWU3XXD/FefKm9YwoPEMf3xONsfixPRUsSSoFTZNjHY4iy5LsNPt9PsSx7ayrlizLRRV11lBRiaFlRVQUnn5J/P05glrVh1ByT/EOXgp3PVKV7DKVrFMNYgSTlJvevzKBQNxPey96L0pS/Lnh9A3nfE+PjsGGDRCRyCaa5OG+bZpPwfT9Df3nrlGMX1xvctTLCKr+JKsEqv8ldKyNcXJ97iYd01LhcxC0LfeM7MY5/S9I2ZlcnSs3UWoq6ZfHc+Kjt9oRNiVfGnSv4XmL+42hYYHNzM/fddx8ATU1N/OhHP3JyuKJAUTowjOzqVGmdjyGKcNcKAKuG61u6gaSJUlmRqgySouxHkpKH7hQb3nt+hHHUSvS3b8zpfLmvF6s+tx269SdUcPxbimcS+7uH+thw0tys8eI0xvLaRB6lJOG9+FK8F1/qaFhJYtdXQj9xA5dMTOTWSTwOauI51B49QoZdCEjqRFu4XNuB4tq9tLx1VFv9XPPh7JU5jyQWh6OOssEoBxCuwIyLcuobA8QX2JMnIk3oWDU+QCEcvgSIAtmpqv2BXR0AACAASURBVMm1tVg5SPYNXv0+qv/7Z3kX4T7hRDjxrfk5nD4fvOti8Pl+Rjh8ZV59FQNmZyesneqgX1xvcHG9ceCZ5Uwo4GR+PdDHUo+PhXv34v7VA4Rv/ty0NuGf34v3/AuJveviQ8dCepw6G2tcHWSx10LYr5FR4k1EqYiwzcjyWNY1rtztvykqCfbJxOPrGdTz37kSAhZ6kvdjmg0Yxoq8xygEZmMTck93zudLY6M571wJIbjjG3tzHttuNj85zIaTi2+3tRiwKjzIBZiUHESWB1HVPSiv7+KpL92aUx9SLErsQKXcoEtjle9A7TIhiB+f/JmmKLsxjCU5jeckythuPL1/5Zln8u9LlkEuxkVsIRBqGpEN2b7i1VI4jvAnnG9V3YMsZ79QkKitlIMeuhB5O1YAsRh8+1v5hYp27IeOfRCLnZa3PbONHKyzJdwyX2pdGv2GjlVXh7J3z7TPhWmCLCONjmCsWXfoeI8ep95mGXaAcVPi+x3FtWBUYm5Rcq5sJhy+EsvKQvHPjCHFhrB8C5wzKg90/RjWluUfWtIZk9gTTn67JYoHz434ZqthQV61rvS3b8y5SLQkSVx2RXHcJ50dUerqNVyp4jzf7GgKVoX9L/1USNIEqvoaVl09voF+9Fwm1HEd/UD82wLNTas7sSshjUSRh5Ln+mnac8TjNlVmtRHT14Qy0cUl78m/r1e2gddbfKGvyuDLSGLm2nfC60IK2xPOJUV0hCfhXOn6WlQ1+1qVrlVH437nWbbYkwsej8T7/yG/PgwD2haP4/P92BabZhMlGCwS58pFvx5HVFYhDU8v+WB2d6E0HljgmeRkxy2LFV77VTzLVcGLY6V3W4ncKd09NuPz/Syr9nK4h9jS9zlkTf5IUphXJ8bYH81vcrErLNOdohixy7UdIeaGxKm1oBG5O/edK/2E3MUGAD7/uZ3E47PviCqqxHUfKy4Rg6JCkVF3DYBVmGIpptmALPciamoIjozSb2RfPFaKhJFGEgWIe/X4obpOosKD1Zg8HFUIP7qeg2qcw1j+RuRwF7d/XeRdG+7Rh4uz4I3W9WewZv6ehd9lW60rfUXdpNBQFa83+0LYkseL/uKWrM4RlpXzglQybvhYft/nj34gQHRhmrmVTSkmlIWtKItmP2+sRtXo1+OJ7znJd212dKC2LUJ5fdeUz1f7A5xdlX/KwpG4ZdCt4ltQKTF3KDlXtmIQjZ6e1RlyuIfYonc7ZE/+WFY1yAPsieR3q3RGZZrcyV5qcYRQmQtiFgBWfQOxd+coRiAEcl9vXuM3t3jo6LBRASxHHn4oxFErArNtRnEjS8gzlJOwE8tqQFF6QFHwCJFTIWG5twdxoL5MxDq8I+J6vhNiyXY/4hjGMqBwO3SZItzVSLFBBvphNI989+FhQXnxpDlOQe1/AaNm3YxtjCU1WHbU5xICeXjy7qWEadYiy1mqQ7jduN9+RnbnGAb+q67O7pw05ONwDw1BZVX3vHCu5Lo6XMtmP6Hw3OogF9UkcpFjF06fD7nfugH/R/8J19NPHloAAtg8OkxnfG7ka5d4c1FyrmxEUbrwen+V1TmSMWHrqpz9qJxc/yCdee5cdcakpNKmqroHw5j9lbOMcbmQ97XndKo0NIhwZ5cAfiQtrV727Z19OfaLLi5+2fzZxqoPIPdmXvspH4QIIETCC+i74Ub8OSQJab9/GGloiGFD55Ghw3kxUlQHLVl/JlCcuzpIEqNn/IxgMD91uH3t0Npmm1W2IsdH0yrMShEdZf+wLeOZzRVT/q3rx+NyPZ9VH5IkMfGD72V1jjU8jFyVvzDJQSoqYNL8PCcUpRvLKo4Q7XyQJAmzs2O2zSCkx3mgP7HwaC5dhjQ2dUUkfP8vMPfsRunqxFpw+Lo3aG6aU9RMy5cTK2YOuS1RYiZKzpWNKMr+rMQs1P4XEC7744XtRcYji7xrXckSNHmST8Ti8RPz6rvQ6BtOzuk8Zc9uXM/+La+xi6HW1S9/3s2OHYVxGuYyVrUPebBw39XExIcBWL57L0oOOVdyTw9Ww4KpSoGWAJKH6rjdT2ct3lNIfFu/Tm1QIpSHczUwAEuXFeHilxHFqFqZtpkIuDGbKtK2S4c0EkXpnipgEY8fj8u1M+u+9Fe3ZTe214McrMt6nFTUN0BvjrWuLEsgSRCLnY6uz/6Ojx0Ic/adiGa3h8uCDQCJBcgjnjfu0zaiLl5y6Bl1kK927EF2KOrlojqd6OxfmhJzlJJzZSOJGleZTzY8u+5FaMWvtuaVJQJKfk+Z65vjBJMWEBYYRvpJQjHheeCXCdmpLJH7+rDq8tvxWX9CBaedXpO+oYM88rsQa9bOjRy5WUWWMBsCCanMAuDxPAQIhs46m1gOY8oD/YiaGtpj0UM1rqTxGCKQXDXL43kUIYp3cSi85gbWrjXx5LFZfOppcPElxedcSUJn4vjPp28oBNrmffmPNz49zFSIKsbHP0ouu5fZhOXpr76KNTSY9RipuPgSidoc03QkCb71HQm3+8/A/NDqDv/0f2bbBEwhuHrnywBIpoGya6rTPnzD9QAInw+0w88jSwhkhyJ/dkdkwrOf3lxijlJyrmwkq50rYaGM7MKsLP7VL5VqLm3Ir/LiPd3J63hJ0hhz7TaUe7pzkmOX+3rzdq7Ky1Ue+0MOUsY2MTKiIysSgYCjJfLmDWZTRdKJqRPEYichSWFq//gYwztezb4DSQJZpisepe3gzpUqY7RMXwCSpBEsq4xi/u36t3yRE5btor4h9z5+/lMI9RVf6KM68DLKcAa7RjZNPOWJOMI3/Rnu8TyCJGWX1Cb5/YiJzHe+9a1bsPKN45uEpkF7bpHd7NkNf/4jRCKX2GbPbCO5NEQOi4V2okgS5gGHWxocxPW3zUnbjX3n7oLZ1OQWjBjFt7BSYm5QvG/GOUgk8h4sK7MlMTX0PHrt8Q5bZA/j45/kkVDuToEQcEpVsp2v+IFaKXPrAWbmqBgo94dyLiB8qA9Z4tLL8pgt5sljvx/gnWfZr85UIn/c7qdQ1R1I4Qle2JFd6BXA6P/8HIDrFrRwYlkilEwaiyMC03MaXK4X0PVj8zPYYSx/I7GBTjry2LjZcDIE64rv+SQkBbMmQ5VGibxVKxM1rqbvYEajZyLL2Tk+7hM3ICKZi/JYoRCKzWGBuQrkLVoMF73bIhD4tm32zDaJ2mP5LZ7aidW8ELnzcLkTc2QEuawMhMB321cPHY9bFqqD+eqvhWWeHi4tIpbIjZJzZSOa9gSZXlJ5opPYoovTNywCXK6tnFC9JefopkFd4nv7p7+YVXU3irI3P+NmAWtBI0p39rWuwp+8GWNd/hPSr39lT97y0rnS2OQuOVfZ4HUVTNTCNBOKge6GBXiyTTQyTXx3fB2Ab3QcLuIp/C5Qpk9gFGWgKOtbTcb0NVKldOcSwXuIW28pvl0rAN/Wr6ZvdADhdSFFspfmn9KHT0N4k0UfWPj938+qL++734PkzTxW0wr12ZpzFY/B/z2Q27n/9X3Y8lwvUIxVpXNDDgYxi6DW1UHMxiaUSSIb8T17UFoXQSxG5KoPHjquSBJfbFvumB0NmkVvrPgWVkrMDUrOlY1EIpdn1lAIzIqlma88zjK6vpbvtq9iJMdalJ0xiWZPMqXAnRiGcw9HpzCXLUe4sq/e7rvj62BD8vDYqMHgQH6TpVwIT5gM9OtUVSUP8SyRHHkoDHlObjPBsg7UumpYQNVgljkqlkX4Hz8KwD/UNx2qcaXsHwFl+msiFjsFy5q9HdRMsPyNqNFufvRfuTlIui5Qi3DhWooNZpWra7RVIdT8XvXmgrJJNa4m4yFRAD7z0Fd9506sbBQlPB7kGvvyTH1+2PxUbvdEZ4dgYWsXpjn3lQIPUnbTZ9COOW62zeB9dY1YQoDPl8itOoCrqQnf5e9FfXkr3p/8+NDxN6JhtoznUWchDfVuQU+K2pwlSqSj5FzZhKLswevNcDnMiqNMZL/zMVvI8gDXL9tER46KgZ0xmcYkNa5U9TUMo/hzzo7EWHtMTsWAIx/6R+yYrbW2eWmfBcVAzS1x/FvyVx57s2HVBVD6nN+9Ms16FKUHs3kh41VVWZ2rvrgF313fRrcsPrV7R+KgbiKNJAvfiuNyvZS/wQ5jVizHXPh2jFwXhTqgsclem+xA7d+KUXNM5idoCtJEfnl/ctL7IIGuH43L9UrGfaltbVlpYFTc+kUkxb6dIq9Xynk3s6sL6uu755VzpT//HLHH/zzbZlCjuhgxEz/WsW9999Dx8HPPgduD3NONOekHudzr54LqoGP21GmC3pJzVSJHSs6VTSjKPoTIrKiqtv/36HVzR37csmqo94ToyrHWVWdUojlJjStJMjLOUSsqYjG0J/6S9Wll13/YluFbZkmO/Sv/uZvKiiJcyi92DAvXi12Mf+9p3H/YZVvdoSMRopyJiQ9iNTVz1buvyOpcubcXq2EBHfEozQdqsckjUUT59HwrVX2j6EMCAYS7EmUsR+UCDtS4ai2+yZXa/wJGbebhxUJTk4pRZIxuIjypz9f19Wjacxl3Z+zdS+ShX2fcfvzu7OpiOUkkAqpai2EsnW1TbMO1/i1oOSwW2k3QpeE6sGPu++Y3iDzwS/pO28CeCy5g8H3vIfzI76bIsN/b18VTo848SwHcMnx3Zea5gSVKTMZR52rr1q1cddVVANx4441cddVVXHXVVWzcuJEbb7zRyaELjqJ0ZKwU6N3xA4RW7rBFdqLgVayca129q87ghGkF+UzGxm5mrolZAODzYTVlWd9HCNskuVevCVBeUdjQvFjMYsf2Cby++ZNrUAiU/cNoL3Qh6RaIhMOi/W2/Qw6WhMfzBwCe/P3vGMtiy0bu7caqr2fvpBpX0kgUq3K63LTXex9zZV0uGyfkSFavgQuLMC02cvR16PVZLM7JUiK8M0ek8TjyDDuvhrGMiYkrM+5Pqa3JWEBBCIHnzLMz7jtTVuRY/eOy90pYVgWWNX+KqJt73mD0P/9tts0gpMfZHU0sGg5WVTF03Ycwtr8Cpomx41X6fvlzxl89vEO6LxahwuG43e8kyRUvUSITHHtD3n333dxyyy3EDuy/33777dxzzz3ceeedlJWV8dnPftapoWcFVe3AMNJPuJWRXZjli0GaG5OTg1Sr8J763EJLftHjwnXEnyvLQ7jdj9lg2ezg3XR7Vu2lkWFEhT01zZYu87NggTNV6VPx5BODnHJqdqFmJUDdkXwSmep4voTDV4IkccKyo3AlzZFJjtLTg1m/YEqNKwBRcaTwgIksTyDE3Fgccu95kO/dLeUkAPPHP9imZG4rvpe/BXIWiyuKhJKHqIoUTi7DfhgZr/f/yDTvKqFOl1k5CTE2yvjtX8uobTZce72Ermd3T+i6wOcDSRpnTi4KpkAO1mEVgaBFSI/z6gGJ/vGvfyVpm5Ff3Hvo/3vicepdzr4Hb2iJF6pMYYl5hmNuf0tLC5s2beLmm2+ecnzTpk1ceeWV1NWlV/+pqvKhqqlXyoPB4ihkmrDjODyeFtI+dN/4Pay9HK/Ntjt9LaLGNTww6uNTR6W+ZVLZcGstyNKRD8ER4FzAl+SM/CjIfeF2Eazxg5zcSZ5mQ38HtC3EY4NtQgj+9sxERn+nXdfiL398nU//v+UEg9kXjS2u32lhGR9NHlYij8Ucsuc7wEXs/t4mdp9+Mu9IorKWdNwrLsW3ejXvQlDj0qh1u7G8GvI0GfZXgNW22F6Q72N8G794ROLcC/00NEz/rc5kw4evFSgKKEnUEu0m42thGXDGrfiV7HauI5pCRZoxUtkQ7xpDbgygznj+hwgEIkD60HhRG2Aimvr5Nfl4bKgbo7XZ9nvl6Sd1TnqbQjCY4fObhHO1erVFZaUOFOZZUojfiKgNMBGLZPR9OMlSOcYzQ0MEg2V0pdjZNHbtPGTP2B6LlY3VjhURBrjmWfjSGqg7sMZULO+yEsWPY87VWWedRUdHx5RjAwMDbN68OeNdq6GhcMrPgsEyQqGxvGy0g4N2qGoDhpF+ddA/2MPEouPBRtsLcS1crghX175OKJQ8w3smGz623cO3j4hdDgTuIhz+IJZlb0Jqoe6LQHkVE9v3IJIsEiSzQcKDcu5FGDbZNjwUTvt32nkt1h3rJxCwsu6v2H6nhcZd7kkqBmCVuR2xx+t1YRhvIFwauzt6CTE1rC/VdXBveZnYkqP5bW8nV9Y1EpLiKHsHMduqp7TzeJ7HNNeg6/nZXrDfqVLLu96xB4M2QqGpk7B0Ntz8KYuvfsP5CINsroWr84+oQ9uJrP54VmNousl432jKrbiZbHD1jWGUa4gZbJTlTny+XzA+/smM7PF9bVPS8Y60I/baHuL+StvvlYUtgq4uSLYYmupavLZDMDgwypKljzM2drKt9iSjkM+seNzI6PtwEjVisHd4jFBoDNfCVvT2PdPbLF9xyJ7TfZUM9DsrFFRpabzSZSCXWUXzLitRXKRyuAsam/bII49w/vnno9io/FMcCCQpfX6DFBsmvOYT2YV0FAmG0cpHtjVmf55F0irnijIwN8UsDmA1LMiq1pXS1YHQ7Ath+N9f9hCLTRcJcYId28c55ti5EQZWbBgrki8epDqeL6bZgCz3QF09kZ7MC13rb0nk8JxdFUysBMcNrIrp+VbR6LvQ9SyU6mYZ09fIn/+viz88mt15QgiyuHwFQ+1/Mac8MqvaB3puZSD0tQuSFhCe0r/VhKJkfsHCP/5BRu2sUB9KBlEu2bL1RXjyr9md88o2MMz5pRR4EP81H5ltE6h1aSgHnN2y6z6atE3ZDYed92Xe7KMosqXeXVIMLJEbBXWuNm/ezKmnnlrIIQuCLHeTyaWUoyGUsb2O2+MEsjzMCbV/xcoy/rg3LlGvHekExBBCYy7HrUeu/zjGilUZtzebF2LV25cE3dLipWN/YRQDa2u1Um2rHDEXVhI/cSFWhQdkCeGSia9rwFxoT/7dkVhWopCwUt+AkYV34Ln/Fwgh+G73PgDk/jDy4JGRAwKf72fMpd+tWbWKqgqDDPUTDjE8BFmq2RcEdeAljJq1WZ9nLKtNGcKcdswdfRkln5lm/YF3YXrKbvpMRu20DW/D/Y6zMmqbDfX1kE2pLUjIsLe2za8aVwcR4TAi15oFNlGluvjMwsUAeD7wIXzvPBt11dGgqqhHrWDBhpPwXnzpofZx4fziYr0m6MlRyKvEm5uC3jV79uxh4cKFhRyyILhc25Hl9AmhyuA2jODxBbDIfoRws756K6EsV3ESBYSnemSq+gaGsdhO8wqO0r4X7fE/Zdze/bvfIkXsc4Za2ry0tzsvE2tZgv+6ez81tSXVpFwxF1YSe+cyAtduIHb6EuQh574302zCMBYhffSfWXPyaZmdFIuhbnuZIcOgT0+IEiRk2KeKWchyP5HIhXab7Cjx5ncgLVhLKEvnqr0dWlqdsSkfZH0M4co+70MejiCN51bcyTgqs13WeHw9mvZ8Rm2Hb/w41vBQ+j6f+Asiav8iUn0D9PZmt1LY1SGorxvANIuw+FmeuI5eUxTqLd87sLgjDIP6t5xI3V82s07XafzO3fhPPOlQuwE9Ttxy3rk6psxkbVluO74l3tw46lw1Nzdz3333Hfr3Qw89RHn5/AsvSsiwz/zAlSJ9uPdmXtuj2LCsIAs8ITpi2T2AyxQ4uXLqiphhLCYSucRO8wqOsfYY4meek3F71+anEG77wgJb27x07HN+5+qFLaOOj/FmQpR7sBaU2SbLP61/UYYQFZTvfoPYH3+f0Tlybw9WQwPtsQitB2pcSaPRxG7bJLze+zNaRCom5EiINvkp+kPZXW9Ng5NPmf3J5hSEILw2txImVoUnt8lz3MT1XEf6doCun0A8ntnioRQowxpIrxjoOf9ClAXZh6Onoy6HnStFBVm5FMNYY7s9s43+8lbMfbnXhLOLc6qDCCEY/OD7iV7xvkPH5e4urEn3we5ohJcmnM9/qnaJrBeUS5SAuVKspMjJpMaVu/0h4q3nF8giJ1Co0wyq1OwmKZIEy31TV5i83l/joJZKQZCGBgl88p8ybz88hKiqTt8wQ95+ejVXXe38CurDD4U45zxn8oPerJjNFSi7Bhwdw1h3LE3nZ7bLJPf0YNU3sDcaOSTDLukmaFNzY1V1N6Y5t3acLd8CyhbUs/Gd2U2QVDVR56qYUAZfRqg5qqsaFurrmcmfT0YKx9PmWx1ECB9u95+A9O8IORjEDKW3Z+RfP+PIQoTHI/EfX87unvjcLRIVFfeQyd831zB7ezDa9862Gdza/jrRR36Hdtx6And/D2k84UAJfwBj0g+yV4/RYGMOcypcEiz0zL/vu4TzlJwrm0hX90XreJT4wjMLZI1DmEsZM7N7IcWt6a+iSOQ9CGG/BHshEZVVyNksfQpha9iFZQnu/KazK41CCLa9NMaatSX5WVuRJMxFVWA6E9Yiyz3IvZ1Eb8xQUc6yMFYejU9RONqX+K7jG6bGxEnSIJZVyVzKtwJAkqh49asYenanjY2CWWTRQGb5EsyKpbmd7FGRotnn1EhhHeHLPCQ4Erk8o3ZKbTCjnStz/z4khwrF/vSe7Nr/948gGj2XOfcbyAClSGpdlSMxevd38V//cTBN5M6EaJTZvBBjzbpD7XoLUOMKQJXhDwPzTYCtRCEoOVd5IxgbSyMtb+lYvgU5xcoXE+Phiwko2cXt75iQqZzyboxRVvYFW+2aFSQpqxVVc/kKW4dXVZkrP+DszlV4wuTSyxqQiiAWf94hS2hPtzuyKu9ybYcgiL7ejIrnmitWED/9DJZ6fKz0+ZEm4igdI1PaaNqWjEO+ipFsU33374eKiuK67/0vfiX3nStJymnDRZpIV0B4Kqq6C6/3F2nbuY5bj9rSkr1BNnLjTZl/v7GY4MyzdQKBOxy0aPZIFBJ2prB5Nrzl6aeInnkWcqAMq6kJuTMRkqq88TpS/PDcY8TQqdcKkwf89PDcjrIpMTuUnKu8ieH1/nLGFlJ8lPG3fr1A9jhHpec1nh3LLhn/V32uKRs2qvoGpjm7L1XbECKzybFlEf6n3HIlZuITH381o8lzrrz00hjnXWC/DHIJQJGxgn7kTvtz2kyzAcXdj8c0GTbT71a4nn8Wua+XbeExJEC4VcyWqWqGsdgpxGKn225rYZB46snsdgkf/N/iCwVSB7flX8Yjy+eFVePDqpouyZ8Kw1iCy/VS2nZKfT2iAIIEM/G5my0G+jO7Hvva4dGHezFN+xRfiwmlsQnJxpzgXBCxGBOnvp2+yxO5VmbTQpQDzpVkGojyikNtP9m8iNX+wixWyxKYxfc4KFHklJyrvNGJRs+esYXW9ThSfLhA9jiHZS7m+dHsdq6OfCap6msYxlH2GTWLxC5/X2axQ+EwWobiAtlQW6vRH8oy3ikLvF4Ft6f0iHAKY2kt6hsDZF3fIA2WVY8s96LJMqED6n8ztq+swmpswicrSJKE+kov0hG/c5/v58DsTr5yxfIE2bmlj1gss+scjwscikTLGSnSj+WpyauP+Prsd7rlifi03LuZOVhiI817QlWR0uTMCMPAffoZWYydHWXl0NubWduuTli+ohvLmn8y7ADKosV4L3nPrNpg7Gvnktf3sKwskWJhrliBFUws7nl+/F9T2n6jY4+jC4uTqXVZ9JdELUpkSWnmlDePo2lbUn+sT2D56hF5vhiLAUXpZEMw88qLERPc8tQHoMu1E8NYbrdps4K5eAnScHqnWYrF0NefYPv4rW1e9rU7oxi4Z3eY/fsiyHLppeIYqoy5sBJlv70LL6a5AFkepfviSzEymID4bv8aceCevi4A5PEYomzyxDdGOHylrTYWkon1/x/uimoySPEBoKMDmousYog68EJOxYMnI/eHkcayWxyzKr1Z54rq+tq0u1eS10d8y3MzthHRKJ6N78xq7Gyob5Doy9C56uyEtraueSnDDoAQRP73vvTtHMIaHcHc/QaDp5zC1gMqgGbrIswU9RCurGssWLj6qoDFRJHlX5YofkrOVd60Yxip38Ra52MoQ9sLaI9zmGYDjd5uYhlGc4TiEou8UxvHYm/Dsua+owkgfH5Q06/qurY8i/b4n20fv6XVQ7tDztVDv+2jsrJUONhpzLYqzOYKW8UtDGMlkcglrG1bwkI9AxEDIdgfj9FyQIYdSyRiYQ7g8fwOTdtsm32FRh3cxroFWzKuddXdBW2LimxRQVKILzg1ry6s5opptcvScWTuXSbEYqelf8YrCtHf/WbGJiIWw+rPXuEwU+rqs9m5EpjmenT9aMfsmU0kWcb1lhNnbfzxO78JLpXlXj8byg6EJMsySvteGB9PvGsncePuHQWz7QONOo3uUlxgiewoOVd5s3/G1Sx3+2/nuAT7YSwryCJ/L4N6ZhOPFq/g80smhyVFmVcytoaBuiO94yz39WHV2R+rv+HkKo451pm6cZufGuatJ1Wmb1giP2Qppx2FmRH4fPfQURZgZzyzHMlEjSsvRA2EZ2pMnKa9iK4fY6N9hUVv2ojS8lZiGaaLnvw2iQ9+qLicK+GuwqxenVcf0kAY9bUsRAt0E2k0+4LXltWAqu6a2ZYMdh2swQGkioq07XJl9WpYnGFlgfddKbFy1bMIEXDMntlm7CtfnJVxzd4e9Fe34T79HfTrcb5zoJAwkgSWBZ2dWA2HwzFjloUmFW7q+vK4zItjJcXAEtlRcq7yJgKkSPg1Y0ixISxfQ0Etcg4Xy3xxgq7MHKQnhxQ2D09+KCkYxhJnTJsFpPExXE8/mbad3NeLVW+/c1VV5WLL89mvLKejsyNKfb2Gy1V6PBQCqz6QkMmOZS+VnRyJaPRMmsbGqN63b+am0Sho7sM1rmQJY2ntpAYmkhSd05NKZfg13rf4K6zLMKruvp8LOvYX1yKQHM6y4m0yvCrSRPocvINkK8M+GV1fl75RGuKbn8LY/Ube/aSiIYv0qf/9JVjWRub1AL+DmwAAIABJREFUlEmWZ0VkZOwbX6HskzcjSRJlisqO8MShzzw//R9YtoyJW249dKw3HiuYUiDACr9FnTa74isl5h7z+ElRKFIXklUHtqI3bSygLc7z2P7P88JYZrfNUX6L9eWHg5U17WkkKfuV0GLFWtCI3NWVtp3c2+PIzpXLJXHyKfYVJj5IX1+cy947PxO3ixZZQt1hnxRyIPAt9O4unv/bUzM3dLkY+8ptXF3fxOmV1ciDYXAfXhBR1R3our1lBAqN5akl0rmHJzNMFz3tdGheWDw7V1J0ACHnr7AhvC6kSOYCONnKsE9GUXrQtKdnbCNXVc84mbdCfShB5wqYyzKoGf55139c4PP9xDFbigG5ohIxPFTQMYUQuFavRTtuPQABRWFsksKpqKqG++/H9cLzh4716PGCFBA+yIgu8Z39hXPmSswPSs5VHkjSEJA6LMyoOprI0R8tnEEF4KS639LomUjfEPjSHo2BSSGEbvdmLMu5MI9CY9XVI2eQER2+8V+wGu1PhJYkiR//V4ft/epxi7duqLK93xKpseoCyBNxpHDmOwsz9mdVE2gLoKYpDKrs2onrb5vZ1NWOEGBVexHuwxN501xANDq3w5qFu5pybZBFGW6a3/zJ4tq1coWeRx15Pf+Ocqh1JSqyy9E6iGkuQNNmduwrN31vRrEMM9SHHHSuFISmSbyyLX07IQRfuHUEWba/bEIxIQfrMAtc6yp8z4/xXXX1oX8fGS5qNjdDSwv6iRsOHWtze7mwpnAlQoKaoK+kFlgiS0rOVR4IUQmcmfJz744fFs6YArF35DK+2Z5Znk9fXCaoHX6by/IQQti/0zJruFxYVemdEM89P8Ypbefdb4SJROyVMorHSyEQs4G+sg711ZmdoUyxrAbUFpXKgYEZ25krVhK/4EI+3LAQlywnds+Uw68Fj+dRLMu53YOCIEmYFnzjq+k9CyGEE3Wd80IdeAE9T6XAg5gtmS9uWTU+rJrcihZbVj2K0stM3lzkZz/B6ulO3Ud/v6POFcDvH0n/ZQ8NQm1tF6bZ6Kgts03guo+jplDncwJhWXjOPm+aQ3Vy+eF3qtXYDJddhryv/dCxHZHxgtkI4JLBFCXnqkR2lJyrHHG7/0R19eXAKVRVfQi3+09TPpdHdxNbcunsGOcgi8p/x+KyJzJqawlQDj2TIggxN+vkzMT4bZvStgnf9BnHxm9p9bJ/n32hln/8Qz9NzbmtVpfID1HlTRRstWF2b5r1SEEj7U6F54d3oz75Vz6yaxtYAvkIYY1I5JK8bSkGzCUXMpHBnGxwAGqKTMxUHXgZo3qNLX0JvwZ6ZosxSs9YXtVTTbMZRelM+bnnnPOQAqlz+aru+iGyLzfnLlNkGaw0deY6O2HFym5Mc36HShu7Xyf+/LMFG2/oI1cjJfl+N1ZWYwmB+8H78f7XXdDRQcVVV+B+8H4AjvGXs6CAYYEP9qpsHlFQ74fTnvXxYG+RFcErUZQ46lxt3bqVq666CoDt27dz2WWX8d73vpfPfvazWLNcnT0f3O4/UV7+BRQlBFio6m7Ky78wxcHyvfJtpPg8DCMQddR60ofCHTk/lOURYrENyRvPYXybbk8oGqVCCMquu8ax8VtbPbbWuvrpPV0E60rx5bOFubgaZU/+eQ/x+FuIu97Kyi/fNmM7pbODofJyalQX0ngsMfk+gKY9g9v9eN62FANm5XLccjhtu717oaW1uFapheIGlz99w0z6UpVEjd9M2vo1UHOfIkSjZyBJqZ9N0UcfJvanx1J+Pn7H13MeO1OqqhI7UzPR1Qk+nx/DWOa4PbOJduIG3G/LT+4/U6J/+RPqosXISZzr9lgU14P3U37tNajbXwUhUHe8Svm11+B+8H5+0LMfs0Dbyw/2qly73cu4KWEK2D6hcO12b8nBKpEWx5yru+++m1tuuYVYLLESeuedd/Kxj32Mn/3sZ8Tjcf7yl784NbTj+Hz3znxcWCjDuzArjyqgVYXBshqo96QO5TiIAG5qm7wKLhGLzS9xD4Do5e9LKK6lQJoYt2UnIhWr15ahqPZMBoeHdWRFIhAovThmDUnCXFCW9z0jhBtNe5be277ChJl6p0Lu6WZ3ZSWtHi/ySBSr8vCupcv17Lwp+I2cmXJBayu8u5gCDiyTsdN+YGN/AmkkM9n/fAVWDGMNkpQ6P1cOBmesY+W/7uN5jZ8JixZLpKsDX1MDjY0NmGaL4/bMJubuNxj75jccH0dYFhPf/iaBf/pE0s+rVBe+FHb4vnkbz4+P4pcLI41+x77kC43fTHG8RImDODaLamlpYdOmTdx8880ArFy5kuHhYYQQTExMoGaQg1JV5UOdoUhrMFhmm73Z0Z70qKq2J2zqfAbaTiqofYUbawnvKOujTC2blos82Ya9E2CacFjs6RWgFnDezoLeFz94AE45Bd72tuQ2DPdA60I8Dtl0xjv8dHRECQaTh89kcy1+/8h+3n1ps+3Xb/Z+p1MpBjsysUEYFtHHduI566iM6gElxw9cwBkfOxYaptYrm2JDeIy+ukrWSlCu+5ErPMjVB++lTny+o8l4qyNLCvp9xDW+fmsfweDU0K4jbdj8tM5xxysEg4WNmE95LfpfhcGdsPwiW8Yx4hZW3zhakvEm2yB0k5hfoyLv78hHqmd+eFkbo9tfmva3B4NlWLEY+679AG0PPJDn+DPzhf9M5Nkd+TubbFNjk8mKlSHc7jU49VtIRSF/I7rZSE9PR9Lvw06GH3iA6vPOoW7pwqSfbxvp4dydryX9TN25A01Tqatzpr7jkexMsdm9M6wUxfukRPHimHN11lln0dFxWMmsra2Nf//3f+e73/0uZWVlnHhi+mrgQ0OpwziCwTJCoTFbbM2WqqpWVHX3tOOG0crQ0Bi+V35NfOE5GAWyr9DX4sXIRqoYp9V7eHX9SBtcFiwXcFB8SNNGiMcVwFk7C30t3OU1sP11Ykcdrusy2QbXjt2ogSoiDtkUj1v86bEQF1w4Xeo922uxb98Yl1zaYOv1m83fabHZkY0Nqkcl/FIXVmPuk4hA4Fu0f/Qv7Pn2XayvCSa1wX3W+bRYLsoUhWHTRJgmhMaQ5RB+fxVjY84kjxf6+9A6d/HGE6PoFYuorpFS2rB6jUCSIBQq3CR6pmshjxpY5aeATddK0g3U0BgjR/R3pA3SaBRFkRjLc1yXawLL2oppTq/Wa8hexvd1okwa46AdZmcHelmV4/fI358R6DqcfMrh7/vIa9GxX9DYGAepsEIKhf6NCOEm3NkzZUy7bRCGAevfBiecmrJfb8xiaMlSqpM4WMbyFcTjRsGuy3Kfj+0T0xf4l/tMQqH0YcYl5j+pnOyCLc998Ytf5N577+WRRx7hoosu4stf/nKhhrYdXU8eex0Ovx+EILzuJoya/IsoFivHlkOLZ+awpUf6VXaFD95eETyeR503bBZIV+vKqqpGP+lkx8bXNJny8vzXSCJhk41n1FBVnVtdmxL2YiyvRX29P6/wQFnuJh6sYaxnhvuzeSE7IuPUuDSk8cnhYoJI5MKcxy42LH8jJxzdTVUasdLbvirQtOLJuQo8ewsIu4pLH6h1FU5f6ypR48qO0CcZtzu5JLtS34D/qg8m/Swhw+68SuW6Y2FJmlSqrq445RXz8/01GUlVEZa9yrNHYuzaSeyJvyC5UwtS1Lg0nvrwR5J+Nv7PN3JcoDC7VgCfaEleGuOGFMdLlDhIwZyriooKAgeSF+vq6hgdnZtiD273I4yP/wujo/+KYSwGFAxjMaOj/0osthEpPoRn5//MWL9jrvPScBMP9M0c87xtXMZzoImqvo5hLC2AZYXHWtCI3D1zIWGzbfqqrZ388AcdiDxzdCIRk4H+0gujaHApmAvKUfaP5NyFZVWhLqkmlkruWghQVdb5y9FMa4oEu8v18vzJtwIsXyOdO7p4ZvPM7d54ozD2ZIpkREC1UTFPlqbUMUuFFQxgtlambZcOXV+Fqr6a9DPJ5SL+92eSjx/qQ3FYhh0g1Affum3mZ+ffn+nBNBsct6UY8LzzbMf6tsbHsQYH8Jx5zoztal0aT77jnYze9UOMVatBVTFWrWb0rh8yetG7ubKucJL4F9cb3LUywiq/iSrBKr/JXSsjXFxv34JHiflJwTLX/+M//oMbb7wRVVVxuVx84QtfKNTQtuF2/x5V3UssphCLbSQW20gwWMbQ0OEtajncQ3T5P8yilc5T4+lmcMQPpH75dcRkmtwJFT2Xaye6Pv/EPQDMllaik4ogTqMAqpjBOo2+vjj19bnL0/7h9/285/L5LTU81zCXVINFoqaBnP1ijWU14F0aw0jhXEmhENLICPeFuvmMtx55MIzVkAhx0PUVzKdKHZavARdROmeouR2NCrQiylOXwz1YXvsdDP24poRjPcMCoLJ/GKs+gHDlKxzgOvBfBPBO+9RzUXKpf3XpctTFGVZ9zoNgHfTNUFrONAWNTfO/xtVBXKuOTpqDZgcT3/8O6opVadut85ex1h8g1ryI2MWXJuZYB8IAR+IxXotMUF9AKfaL6w0urjcOhEiWQgFLZIajb8/m5mbuu+8+ANavX8/Pf/5zfvKTn/CjH/2I5uZmJ4e2HVV9Dbf7r0xMJN+uPkjgb59lPk1KklHnHsClJBf1OMiwLlF5wHVXlN3zahV8CpqG9sc/pPxY3f4KYoZaLnbQ1ualfU/ucuyxmMVvfx1CzmECX8JBZBm5fwJpJLc6Zrq+BuWk0yg7MXkJBGX3G4gdr/BqODGGVZmY/CpKOy7XyzmbXZTIKq+2fZf+GQTwOvbDwuQ59rOC2m9f8eDJKG8MJBz2GTAXVdsUFgix2MkoSnIHfzyFKpzZ040UcF4wwO2W0GeIkuzthaXLerCsN8fCk4hEHFkQNAcGiP9tM55zzkvb1hCC73TtT/pZ2DJZ7JnupJcoUWzMby/AJiRpHL//LsbGbgZSr+QpI7swyxdDgWRCZwuvVI/P1TNjm7dUmIcWRsfHP4UQ+YeYFCuRGXau3A/ej9PL4S2t3rxqXT35xCCnnFplo0Ul7MJqKEMyrYwLv05G11cQiHtZ+NxzST9XersJVdfQ4vEgj0QRFQkZdk37+7z8vR4b/RqhUGqnwjThpLcVzwKDXr+B2JLLbO/XXFiRtjiw9vTMi2fZEIu9EyGShzaae3cjkng3amtbQZyrdIT64PXXLyQeP2G2TSkY1sCA7X2O3/F1Ap+4KaMdMbcsc+2C5Kscfxwa4PVIafeoRPFTcq7SkoitHR39V4SYOZFS2/sbYq0XFMKoWcWyGlhf1Zn6cwEXBg++ME18vp8WxrBZIvDFW1Ov9lkWyM7+zM4+N8hFl0xXC8yUhx8Kcfa5ziePl8gR3UR9LfuaQ5IUR25UCJ1xRtLP5Z5uOqoqaXV7kaIGwpcQM3G5XiIen3+CPGLN+zlqeWon1e+HDc5pz2SNd/vdCK3C9n6VnjHkvjTKd2l2trJDwuV6Keknck0t1uD0yXzkVw8iZVCuxQ4+dXPqCf+6YyT+5dM/IxGfO/+Jv7gFY7e9iYdCCOS6etxZ/Liu2Zl857xHj9FQwJDAEiVypeRcpUGWe1HVVxEi/cq+q28z+oJTCmDV7GKa9TRoqYXM4haH5EslKUI4nDyuft4QDiPNUAzTafS4xQ/vniGZJA1lAZWW1lKoRbFiNZQhD0chml7lbTJCVCBJozR/MXl+qxSJMFHfwGp/gPiGlgM5OPqB/+bf/VC3+w6OX576d9LVCeHUNW8LTnjdTSDZ/4oWPg05PIN4jWmBYucOnoRpNiFJ06v1yrVBrND0hYPYk487vuN/kF07YWgo+cvs0YcFL255FwVMT59VlGAdVmiGJLQciP7qAQIfv8GWvnrjcepdJeeqRPFTcq5mwO1+BFkeQ9czCAkQgtGNPwH5zSBl7eb5vg9ipHCuhgyJNm9ipc/jeWT+5W8cgbWgEaU7yU6eZSHKnA9t8QdUPnBNbjmMfb0xbvr0IpstKmErkoS+sg7X9uwnPR7/I8R2v570s/ANn6J13XGs1wIoryd2D2R5lFjszLzMLVZMXyOjnamVPYeGEgIHxYAc7ibwzE2O9C182oxy7NJEHMumfKuDKEonmvb3acddxxwHSvIweidEFZJx5tlQniIo5fj1gvUnfLEgdhQDcjBou3PlWrM26+9SliTMJKu3Q4ZOVYF2NEuUyIeSc5UCVX0Vt/tpDCNNEYwDuLr+jDrwosNWFQ8rq39Nbzz5A/O5UYWXxhK3lqq+hmHMT6XAgyTk2JMkbMsyY9/7YUFs+MgHc3Ng97VH6e/PbkekROERNT6E15VT3StZgmiS+jW+b3yFJ4YHMYXAXJQoACXLIWKxt+VtbzFi+Rfg1lM7V/fe44xKWi6o/S9iVDjz3BQ+deZaV6qM1WRvLSFdPw5Ne37acfcppyLPskf7xOPw978l/+xL/zGEac6//MNUyHX1WCPTdxhzZeiGjyI3ZK+0WK26GDKm36PfXrqqaH6jJUrMRMm5SoIkDeL3351WwGIyZlkrRt2JzhpWRPy9/yReHk+ev9AZlWh0JyaBsjyKEPbnDRQTxtp1iCRLn/L+fbh/fm9BbPB6ZcIT2YkeWJagpzdGa9v8CwGbjxhHBZE7s6sPKEQl3iqZUDw27bPo5e+jyePBt2cIeSghiCJJUTJ95s01LH8Tu57vwkqST5RvnTi7UftfwHBAKRAAWUZfPUOOZtzE8tu7c2VZtcjyIDD1Olt9fZgd+6YcE5aFurhwdRElCfbsTv5ZbbALaCqYLbONtvYYym78F1v6ij2zGbmsDNnvz/rcK4INaElCYn/Qk3v4e4kShaTkXCXB7/8R4+M3IERmEtpSpA//ljdP6ADACcGHiJJc1KIzJtPksZCkMJY1/yfuxopVWPXTJyuispL4+e8qiA0trV727ctOMfCFLaO8um0sfcMSxYEkIcqzyzcwzQaGz17HSHi6wlbg05/i2137kEajWBUeJGkcWR5gvjpXRs06tuvnMjw0/bP+EASLSNNFHdyGUb3asf6VrtHUu6CqnFNdtXQYxhJkuXfKMbmuLiHTOBnLouzTn7N9/FTUN0Bfb/LPGhq6Mc03hww7gNB1xm7/Wv79CMH4HV8j8IncHLWAojJgTM0LFELwqaa2vG0rUaIQlJyrI3C5XmR8/EZMsy3jc9z7fke85XznjCpCNOoxSP5G6ooldq6EUAmHP1RgywqPZBrIndMdTe2h3+D602MFsaE1Bzn2hx8Kcc55RZJkUiIjhF/D9WzyGjDJCIf/gZUnfZQ1Lu3ID4h6PARdGpJugqbgcr2AJKVRkZvDCDXAhgV/Iol+Avv2QUtr8YQbRZdeDqpzC1PGstqURYTl3nHIu3jwdCYmrsWyaqccE+Ew4Z/eM+WYNdBPrEDPTYD6eujtme5oRiKCvXuPQtePKZgts43kcuH7h2vy7if2+0fQ1p+AUlubvnESgi6NSnVq/np7LMrn25Pnj5YoUWyUnKspHJRbze6yaPsfJb7wnfabU8T4pXo0NXmtq00rovgU0LRnCmzV7CACZUjj0yelcl8voi53ifRsOOW0ahYvSV5LJhlCCF55eYzVa5wtcFzCZhQZ4VYTE+BMmit76Is9xNM9U3ON5N4eBmtqWKx5DpUK0LTn0PXjbTe5aJAV2n2XkkzY8/j1Eh/758KblAwpOoBwVzs6hrJ7MGVxaqV7zJGdK4jh9f7flCNydQ3WtC9EQltfuLpSwTpoWzT975Uk+OjHd2FZ9uafFTvD/3xdXucLIdDeugH/9f+Uuw2GzvNjI1OO9cRj1LreDIJhJeYDJefqAKr6Mn7/97NfpYoOg6QgXLNf8LCQaNTz3sbk8c/f2Z9YJY/HT8Y0s09mnYt47v3vacfkvl7MAjlXtbUu9uzOfOeqpyfOCW+tLCUHz0GMFcFE3asM8oRMczHV6skcHZ2ac6X09tBTXU2r23so/0ZRujDN+Z1fct2xX+PkJIWCf/WgYO+eWTAoCULxYAaSF1G1DVVGGp+eh+csHuLx9RysHQkgaRpCnxr+FXv8T8T/trlgVmmaxMZ3TD/evhd6e1cDb7IJfZ7vBGPbS8Sf2ZxTrtVB4v8/e+cdHlWV/vHPnZnMJJlMegOSEEJCChAgdBBEqmJBXUTE1R+6iiju2tEVVEQXV1ER1l0UsCAqiHRBejX0npAQIIRASA+pkzKZcn9/hBkDBATJ3Bvgfp7HR+bOTM53zi3nvOe8RRTZZ7wwvjTfbCJIqXGlcIOgGFfUZcjS67+mquqxa/+yzouKPv9tfFFNHKs1hOknRl5y3CbCC2F1g6XBMJWbNX7jalDl52OTyLjSuaqIanP1O1catcCLr4Q7T5CC89BqsAXqrzK5hRX3Zp+zd+XSC45aItsQ9shjDLW5gU1EECoxm+OAm9vYrs7OYN3qSxO/9B8IraXLoXBFdJnLnV7SQ3R3aThjoNXmpF2rOnS6rWg0R6/4GVthoeQZBNMakBTWEjolrOJmvycuRnB1w9ZAjObVINbUINpsuA6567o0+GlcKLrI6M6vrSVYqXGlcIOgGFfUYjB8hNH4EqL4J1Za9kxFVElT7LBp4cKYiF+4OPHWmRqBt9J1CEIl0LDbyc2IaDAgVFw42a0e8yx4SON2p9GoWL70MlHZDbBubeGfyeqt0ESwRPljC9Bfxe6VBo27Fu1FtWs0SQdZlncWk587okEHmKiq+qvT9DYV9IH+9O16adDVc2Oazs2gO70Sm87PqW2I7lpUlQ0UEjZZsXm7Oq3d2touaLX7Ljjm88VXF7y2FhZIblx5GMBqvfAaWLHMBOJpSXU0BdTXUeuq8uvZWE5ef1yUn4sLReYLjf94vYFY9z+/G6agICVONa4OHz7MY4/V7QalpKQwfPhwRo0axXvvvYfNZvuDb0uDi8shqqsfwGoNu6bv6TIW4bOkO2x9E59f+qPLWOQkhU2X15KfJMd04apejklFC1cRjeYEFksbmZRJjy340lpXmtQUSTUc2F/eYJrpi8nJrqFTghcqJ65QKzgZtQpVSTVC8R+7gqp1rngUXWhQmLv1ZHjHrvgkFYBKwMXlKILw51arbySMNGf2x5fWuhIE6YrWXhFRRLDWgMZ5Bg7U7VzZvBpow1WDJdZ5ho3FEoNGc+yCY5XfzEGs/d3QsxUWoJY4dePKFSLF5y48lp2di9UWLKmOpoD7qMdReV97bS9beRk1mzbgdv9frluDq0pNsPbCResqmxU/JeZK4QbBacbV7NmzmThxIiZTnV/3W2+9xZtvvsmPP/6Ih4cHv/zyi7Oavmq02q1YLJHU1va6pu/pMhbhueVJNKVHQbSiKUnBc8uTt5yB9WybqeRdVD8nu0aghc6GRnP8ljKuKt96F2ubC4t+mu6SNoNkULCOvLw/jqNYsiiPc0UNrFor3FDYgg2gFsBy5YUqm9oPXy7cVXX/z6eMOZaEUFULgogoutz09egA1GHdKCm70FW5ulpE10S8jVRVuVj1EsS9qVUNGleqc1WozjnTyFYDuguyUnr842WoN2k2vD4BwdvHiRouJTgY8i/a+NfpctHpbo2Y4fqIog1r1tVnJLVj/Hw6Hs/9HUHVONPKiWGtL3jtp3FBfYu5aCrcuDjNuAoLC+M///mP43V+fj4JCQkAJCQksH//pdXapUQQSjCbOyKK175C4374k8sc//R6Zd1QaHGj3Hah+0D2+Z0rq7U5Fkv0Zb5586HZtxeXrZt/P1BVhdu3cyTVcLXp2HduL6VHr2u/7hWaHkJlLZr0BtLf1aO65kFKZsy+4JgqOQkPjSuiqwaN5iRa7UFnymwy2Jr3pKz2wkx8WWfq4muaAqqaQmpbDJCkLaH20tgz0c0Fm49zaxNWVIy/wAW/YuoHmJMPO15XL/qp0SboV0tQkED+RclvbVYBqzVKUh1NAU1YS9Rh1+bJI4oiiCK6Oxrv2v0u/8Id5r3Gsqaxu6ygcBVonPWHhwwZwtmzv2eTCw0NZc+ePXTr1o3NmzdTXf3Hk0AfH3c0mssnRAgI+LMZ+vKAD4DpwJ+IlypNa/CwpiztOjRdH3K0W1oRgsq1mICAWIeGoQLEeoKX1geQZ9VPlnMwdABUV8P5DEkB1kqoMaKXUEvvPoEIwoW//+K+OHOmirCWepo3l26XQq574mKago7G1iD6e1Cz6iiuBlcE18u5zHjT4pupeL34hUNDhVqgt4sH7s290PrsA/rg7i5t/8hyPirKaeGRQ0BAnEODKNoYM1YkIEC+5DuOvtC1hDY9QOW0odmBxWhG7e2OcL6mVUCAgZqkE+h6h1/hWmoMTMAG4EEAhJYt0Jor8TzfB63+9a7kxlVkGzPnikQCAurmAwEBBgICo/HxaYETp0l/iBz3iKksn8odO/E9H9JxNRrK164lYNrURjV+hruG4mMfTwMMbM8o558yP8ObwhiicGMg2VNjypQp/Otf/2LOnDm0b98erfaPjZqSksu7JwQEGCgsrPgTSkx4eb1DRcVL2Gwm6h70V4nNikvOZjwMrdCUXxq0afGKoeRPabo+/nxfXB96lQ/xbqcpLIx3aEgr0NBGtFCiEbBYbp2+UGWfxf2zTzBOnUZAgIGSoxloDT5USailXXsdZaUWx+9vqC/W/JpH/4E+kvWRXOejKepwlgZVKx9qtp/CEt+swfcFwQPNAy9TUlBOULA3hYUVmEy16FFRrnfBYNpHeflQQLr+ke182Ny4c3A5hYUVDg07d4iEhUFhoTyr4vX7QpexCVPYUKfHXAFoTp3DarEgers5NGjLa6gor4YKZyYj0iEIPRHFut9crfOg8uQZTIUV+PvpOfHo4/jMmOnE9i+lazcRQYDCQhMBAQbOni3n3vsOUlhoQK5U7HLdI5bSaiq3JmK98/6r1lArumAqatwC5P/OSGN8SATtW/iTmVeKymKT9RneFMYQhabH5QxuyZaHtm7dypQpU5g1axalpaX07t1bqqbDb4joAAAgAElEQVTrIWIwfEZV1Qhstmvza9dmrUMwlSDqfKhKeLPBz1R1eLkxRN4waMXWpJaHXHAsWm9DrU5HEG6tmB5bYBCqen4lqoJ8bEHSBkNXV9v4bVvxFT8zeIg/g4b4S6RIQQpsgR51GRkumznQgsemFziddT7zmcVCbc/edNR7Inq5IIouQBMJOnI2gobI0i+pNP7eV9HR4Ovcmr1Xhyhi0xokMawARP1l0rFL4Hql1/8PlarOpVzlH+AoJGwtLgYZkl0ZK+D7eqUKq6rgVKY3t1yNK0AVEIi18NKMmpej7K030MS2bXQd/hqtIx17vtlEsFLjSuEGQjLjqmXLlowZM4aRI0fi4eHB7bffLlXT9TBRW9sVs/nqq7+rqnIxbHkSl7zfEDVuWAI6Y4oYTnm/r7H4tAOVBotPO8r7fY0pYrgTtTc9RDGQ9voLNz/XntOg1e4HLvXnv6lxcQHr78UxRXd3LG2kjTkzGDS0aHH5iZnVKjL/x9zLvq9w42JpH4yqoOGVY1HUo0uwUpJz3k27poaUu4bir667dysq3pFKpvwIAh4e4FLPceLrOSKuzg0zuipUldnoMqVL9CS6a+sSmtixObfGVX3M5s64uNTFXWui2uDSqS4e25KfL3kadgAfX4FHH//9dXmZSKeOt1aCKjsqd3fEmqsrSF976ABidQ0q96uvsXi1+LtoHenYK61WWrs2fhsKCs7CqW6BISEhLFy4EID+/fvTv39/ZzZ3RVSqfFxcDmIy3XnV33E9/h26U0sxdn0Pq2+7C94zRQzHFDG8zgXslt0qFlh7TmDE+ay5RgskV6jQaI5TU3N9RQRvdKyxcdh8nVurpiH+M/003/3YcLKKtFQjI0Y27DqmcBOgvtxamQuCuxZTXl2AuMpYQXhuHlpdM7S67Vitra65FMWNjLES0o+LtDjvvJCcRJMoS6A5dwiLf0fJ2hPdXVAVVtY7ImCOl2a3vbY2AQ+P/2Ey3YXKxxfRlAqAOT8ftQzGFcBTo0Xm/lB3HezfW4y3jy9eN38CzQZxucqdqIpPPsR76mdO0eDn4kKRpc74j3HT09ZdmpqRCgqNwS1RRFilygMsmExDru7zFZlo8ndjDuhG2eDFlxhWCr9jUeVRdX6Tyl7jSqWqQBQ95RUmA9VPjXW4ZmmSDyNUVf7BNxofvV6N0Whp8L1Pp55C4jhxBQmx+bjhcujSGk4AKlcd1rw6t1WhooK9Oj0uZSas1pa3lGEFUGn2JOtkXWp6URSl8IK7KjRFB6Q1rjxdsbT/3ZgSymoQKqRx5xZFH1SqUsAGajWq836ZGj8/tF2v3rPEWZgtOahVt+5ClP5vY/7wMzVbNuESHYs62Dn91N/bj35edddFYnkJR6oaN6ZLQcGZ3AJTrRoMhqmAcP6/K2A24pr6JaKrH1ZDOFafGBBugS66DvoGJJJrqhuQz5oEwlxrsFhayaxKPoRzdZUoRVc3RB/pAznCWrpx5vSlweilpWZUagEPD/kyXyk4GbUKRFAVXWrU16g7Y+pQtxrtsmEtwulcRG8Rd/d5UquUncMt/ktuUd3iT0EBBAbJLOg8mtLjWHwaP3blim2m/l7cSfR2xRYk3e6A0fgcICKo1Zj37gFA5eaGJlKe9OcqVZ3rNIBKyMHV7dY1rmo2rKtLr34FXKJj8PjHS07TUG21srG0bjxt5epOtJv+D76hoNB0uMktBxGD4VOqqkZhs105Lbj29Eq81j+M1SsS0cWA6N5ERtwmjskSRKn1fDCyCNHutVRW/k1mVfJgjY5BPJ861m3W/2TRENbStcFaVxvWFSmJLG4BzLGBaNIKLkluobYMp0tl3W5NTU42wYZAVP4ZmM0JcsiUlWjtJlxK6uoqVRqhe4+msXVVfse3oJY2aN8S8fsCkOZEEYLxGrLnXieiqEWn2wZAzab1ANiqqhAt8sTr+gfA+bwarFl9B2r1bbLoaApoOyYgVl5+p6j28EHMR5JQeTrPbzJYq2O4f93O6odnM6ix3WJx3Ao3NDe1ceXm9jMWSyRmc+fLf8hqwrDp/9AUHaBs8CLMEhVwvFlwFwLx0NYlSejuZaVPwHHU6jMyq5IH1ZkzuOyrW4G9fOY253L/A0Hc3u/SHbOd20sZNFgxrm56XDXYfNxR5V4YB6rR55ESWpe1wZSbg6e7Fy7+e6mtvcKz8SZF3eZOKrR1da68vGDo3TILAgRTCW5HZ//xBxsZl0O5cN6YEcpqEHXS7WzbbMGYTBcmtjJlZKDykCe25qERAvYKMd/OW44gSJ+1sKlQvWoFlpOXlpsBEM1mVAYDroOuPn79zzL+1DEAyi0WPNWK14XCjcNNbFyZqa1NoLr6oct+QntqKYLZSGX3KVR1fhs0TSBl1A1GC5fmtHQrA2DdOQ2VVrBaW8usSh4Ecy2a5KS6rFsyBXKYTDYWLrgwI6DFYuOjT2Pw8b310grfilja+CN6XZg10ipEEru3bpdAVVbGmfhANLpcbDZpywU0BZqr9vNc17og/PR0uIas005EoDrmSclbFd1dECrrMrIJJitopSykrMZg+DdQi+Dmjq2ykpJvv63LvCoDnl5wrqguDm/aJw8Ct+58QB0QiK2woMH3quZ9S+2unU7XoBIE8mp/30ltzALFCgrO5qY1rtzcFp6f5F96Q2oK96E78SPm4D6IOh9s+mureaXwO+eqe7KlYCAAkW42gj3n8YexbTcptubNUeVmQ0kJorePLBp8/bQ8/sSF1/PJ9CrWry2SRY+CDLioEYy1F8ReqVTlGFrsBaBmzncMKRIoL58ol0JZsbk350xqXeIPqxVCQmUWBLglz0BTkip5u6L+onTsEk9gLZaWuLikoImMRKwoR7TZEDTy7FD4+YGPT53TwcR3bs17w44qIBBbA6sONqOR6lUrcBvxiAyqFBRuHG5C46oaV9flVFc/ysWTfKG2DI+dr+Ca9g21IYMR3fyVhBXXia+2ig5+PwPwv7O12Gy3brpUa3BzVLm54OOD8YOpsul4+okjF7w2m0XuHBogkxoFObAFeSC6uYC1zrXJag1CFwRWUaT4P9MxtT6JWp0ts0p5sLkHEeJdtyr/xX/FJpFBU1OSgsUnTvJ2RfffCwlbmxkkb99s7oJWuw/D+Amy1LeqT20tbE+EgwcqOX7s1i5YW1dI+NKdq8pZ/0P/t2ckNYBFUeStsFvTG0bhxqUJDCuNiYjB8HGDqYXV55Lw3PgopvD7Mfb5b51hpXDdiKI7H54YgChClOEYFksbuSXJh16PLSQUkpJw2Z4omwyrVXRkvTKZbHw4JUM2LQryoSqqRH2y+PwrLYK7iuJz59De/wTawkgsFukn800ClQunTtaVKxCEJuBuJIoINrPkySwAbL7u2AL0iLUWbAHSZ2OzWCLRaE5g2rgOS2oKKq32j7/kJFRq2P6bSHFxNmbzrZspEEDbsRP6x0ZfcEy02bDm5eJ6l3RBiv29/ciqriZFScOucINxUxlXbm7zsVjiMJs7XXg8eQZWryjKBi/G3KyPTOpuXv4RPZWiWujgffTWNq6AqnEvQIcO1N45VDYNwcE68nLrfNUTfyumT195XBQV5MUa5o06rxzMdQkLTB4GKnbvRr1xKx4hM2VWJy8bC5+gsNCGq+sff9bplJ/B6iFTrTGtGlVRFdhEsMiRwEFNdfX9aHv0RBUUTPiSJTJoqCMgoC7+rro6C0G4tY0rgMp5cy94bT64H68PP5V0MeJ2Lx98tC7c7at4XijcWNw0xpVGk4xafZbq6gfrDtjMuB3+FE3RQapj/laXrEKGlcFbAQENSaVmks79BbM5Xm45sqJbtQI++QSXXTtk09Ay3I3T59Oxr15VyF13KwPTLYkgYIkKQHOsLnai1uO/BIkiHoHemHW3dpypl5eNvTuqCGsptxLA1Zuq9n+Xp21BwNrcgK28BlykTGbxO1ZrCEL2Goz/+ZRzs6XPmGhHoxGwWODY0RYg3HpZNOsjuLpiuKiGla2sTPJd3mKLhSW5ufxWViJpuwoK18tNYVypVIVYLJEYjS8CApr8XXitfRCbvjkWv47gohSfcyY1liB8tPm8Gj0PuLXTpZq7dof0dGz+8hk0t9/hS2CgFptNJD+vltCwWzfr1a2OLdgDodYKoogp5wcydi5G5w0Wy609eTQZYvD2UfPSK00g+c6JFYgu0sc72dEcL8J6phRq5akjZLP5YtW1QaytxXvUKFk02AlrCQMGFeDvL30B+KZG8dOjHf+umPoBup69JdegV6nZWVKCrikERiooXAM3xRWrVmehUhkBLW5HPsc1fT7l/ediihwpW0rsW4m27v5UWbJIOfdXuaXIju6XZbB1K7ZA+YKzW4S4UlRUiyDAV3Pby6ZDoQkgCJgTWiCUVOPj/zf0OTZs3dZhNt+i8VbnGT4wndKMo2SeklsJED0cUecnW/OqylpsJdWIenlSoIuiB56RW6he8ANlCxfKosHOGxMEigpDcHVVvFzEqrpso+bUFCxZZxDcpF+kS6+pZGluLsFa5Xwo3Fjc4MaVDQ+PT7BYYsBoxfX4PKpjn8bYezqiTll5korUkv64a8ro7L9IbimyY2veAtLSEA2esmnQagV8fbXMm5tFYUHtH39B4aZHMFkoK12JoV0l6tJHAfkSBzQFyvNLCFSnEtdO/mQWbHyhLpuCTNjctVgLjCBhAeGLUblacQm2ogkKkk0DwIplEBu3BZDvfDQVBLUG0WKh4uN/Y3j1DVk0+Gu0FNSaCHZRjCuFGwunGVdms5nXXnuNUaNGMXz4cDZu3Mjp06d55JFHGDVqFO+88w4227UH0OpLP8BfdTvYOuOv74+6JBmPrS9hc/WjJvIRJa5KYpJqttDc9zU6eU+kRLWcpJotckuSDd3SRbhP/wQAn3690C2Vx9hcu7qIkcMPMvapQ/zfo4dZvjRfFh0KTYfyoz8RlBSBm/4F9OklGDfPkluSbCT/9DNeyVPodPb/KPm4B8k//SyLDl3GInyWdIHDc/BZ2hNdhvTPC3VWKeqsUsTyGnQb0lFnlUquAcCcnkXr32IwDH4LQ/HtCEkfSK4hOWkjd971N1qEzKSk+EmSkzZKrqGpUL10EaZd20nS6TDt+A3z/r2Sa1halM8rp9IAuDdlP0uLlHFM4cZBPWnSpEnO+MPLli3DaDQyffp0Bg0axHPPPUdaWhrPPvssL7zwAps3b8ZqtdK69eXrF1RVXbjqri/9APeodQjuAggCgouA2lCGmShqPQbLUrNKr9ddovNW0ZBUs4UBoe/iqytFEMBLW0GE11Z2FYcTpAmXXA/I1xe6pYvwfOZJVOVlAKiKCtGtXI41MgprrHQuWMuX5jPumRQqK62IIhQVmfl1ZSGtI92JiZW+BllTuD+aig65NBg3zyKguCdYdYAKaj3RV4dSmr8cbSt5Yq/k6ovkn36mf+Xf8NSVoRJE/NwKaWVewe7jkQS1ayuZDl3GIjy3PInKVJcqX1VTiC5zOVavKKwS1btSZ5Wi3Z2FcD5LoGCyoM4uRzToEL2kS6MoJH2AT88dqD3VCCoBjb+Ae8RJqnflQpA02X2TkzbSf8D7+PvXjWV+/qW0itjG7l2hBAVFSKLhYuS6R6qXLqLkmSehpqZuZ7W6mpqVy9FERuEi0Vi2tCifZ9JTKLHUlUwosphZWVxIpKs7se7y1NJsCmOIQtNDr294Q8dpfgB33nknQ4YMcbxWq9WkpKTQrVs3APr27cv27dsZNGjQVf9NN981NLTZ5hq0A6McWWRvcUK8frj8cVM/acXIjPtnnzR8fPqnmB4YLpmO/3yW2eDxz6efZtgD8rrcKMhDQE3Dab4DakKplliL3IRkfQINeIy3LXgLj527HK+tHmHURD+BNmsNFr8OuB29cKevqv0LaLM3URP1KO6HP0ZVU+R4zxzQBUtAF1SVOSAI6DKXX/BdY7cp6PdMaFCf++FPMUVI87zQpBVe9rg11FsSDQAeIQ2P694JazG7ugNgs3lSVfU4rq6/UlvbHXf3+Rd8trr6PjSaU9TWdsPV9VfU6lzHexZLOLW1vdBojmGz+ePquvaC71ZWjqZtuy8a1NYi5EdgwPX9wBuMisuMZRXTP8VNorHss5zMBo9PzznNA/7KOKbQ9BFEURSd2YDRaOTZZ59lxIgRfPjhhyQm1hVX3blzJ4sXL+bjjz++7HctFisaTT3fZ1tnUDXgI28VQb2/saUr/AEWW3c0qkszTJltalxUu2VQJCMaDVgbyLal0YDZLJkMd80KRwHhC2UIVJrvk0yHQtPB+MVvIDYQQyJY8Rh7a9X9s0zRoFE38MyyanAZd+L3Ayot6IOgpqQu22zVRS5J+mZgKgP3AKjIBtHy+3suHnXfsdUCAtQUX/hdzzCYqgWxgeeFSgOvSfO8MH6xAxoa/VUCHs/0lEQDgGjpjKC5dFwXzSKCyy/nX6mBQKAE8ACKLvq0L1Bz/r1SoP4Ogw7wBKqpW0++2PUxEIulFxrNpSu0ZrMaF5dbayw7fIWxrINEY5lm5QqsDUxNNYKA+R5lHFNo+jg1gjU3N5dx48YxatQo7r33XqZOnep4r7KyEk/PKwf9l5RUXfDaXyUi+DXwEC4VKbJVNI7oayQgwEBhoTxty62hWNeKaM/0S45nGFvha7q1zodPmxg0R1MuOW5pE0OJhHqi2riTdrSygeN6WfqlKdwfTUWHXBrc3POgsoG6Vu65svWJXH1RUhZNG9/US45nlEXjW3tRxr6aKuom5hbgovdqawE3qDICXhe9x/nv2HdjLvpuUSU+3jFoShp4XnhJ97zQebqiKqu55LjNoJP03BiKRVyjLx3XTRkiFb71U9QbARfABFycut5MnQFWTd05u9hVpwYQAGsD362mpLglbaIvTR2ZkdESX99b6x7RtInB0sBYpmkTI5meNm7uHK26dBxr4ybPOAZNYwxRaHoEBDRcRsNpQUpFRUU8+eSTvPbaawwfXreVHBcXx+7ddatA27Zto0uXLtf0N6uL77ym4wrO5WzZo9d0/Gam6sVXGj7+wsuS6vj7i+ENHn/+haZQLVVBDgpdz1zmeJbESuTnbGjD92l2qLT3aVWHyzwvOkinwxLTcC2+yx13FsazDY/flzvuDM6ebXjMyj4rb90tOTBcZiwzSDiWvdg8vMHjLzRXxjGFGwOnJbT49NNPSUlJIT09naVLl7J06VLGjx/Pxx9/zE8//YSXlxdjxoxBdYXicBcHD5pd+yDk5KLhBIIOxBKR6uwhVHr/0xk/4apoCkGOcmkI0oSzqzgcs5CNl0sZ6RWtOVzwd+Jd+0muxY5cfWGNjcMaGYU64ySqkmIsMXEY3/+3pPFWADGxHrSOdOdURjWlJWaiYzx49/0o2eKtmsL90VR0yKVB26ozpfnL0asEsOhBn0OhZwoed4yRXIsd2Z5Z7dqy+3gktfkn8dKWkF4aS5L/v2n/8EOS6rD6xGH1ikJddhJVbTEW7ziMPf4tWbwVgOjlimjQIRhrEcxWbJ6umDs2kzTeCoCgPlTvykVlPoHaC0zpIqWHhyDGSzeuBwVFsHtXKLXms3h5lZOe3oqkw+NoHy9fvJVc94hLbByayCgsGSexlRSjiYnD6/1/SxZvBRDr7kGkqzsZNdWUWMzEuHvwfssoWeOtmsIYotD0uFxCC6fHXF0PV9qCbSpbtE1Bh6KhaeloChqaio6moKGp6FA0NC0dTUFDU9HRFDQ0FR1NQUNT0aFoaHo6FJoWkrsFKigoKCgoKCgoKCgo3Eo06Z0rBQUFBQUFBQUFBQWFGwVl50pBQUFBQUFBQUFBQaERUIwrBQUFBQUFBQUFBQWFRkAxrhQUFBQUFBQUFBQUFBoBxbhSUFBQUFBQUFBQUFBoBBTjSkFBQUFBQUFBQUFBoRFQjCsFBQUFBQUFBQUFBYVGQDGuFBQUFBQUFBQUFBQUGgHFuFJQUFBQaDIopRcVFBQUFG5kFOPKidhsNrklyE79iVJ1dbWMShQULqUpTeTrPy8sFoukbV/cD1L3i/23W61WBEGQtG05kbvfrwW5tDXlPlGQhqqqKlJSUuSWcQn5+fksWrRIbhkKTRD1pEmTJsktojGprq6mtrYWrVYrmwaj0YhWq3VMEkRRlG3CIGfbNpsNlUpFVlYWn3zyCTt27CA/P5+oqCg0Go2kOuSesMl5Hq7UvtzXh5Rt1/+t2dnZVFVVYTAYZNHSEPb258yZw5o1a0hPT6dTp06StV1VVcWyZcto27at5H1hb++jjz7CbDbTqlUrrFYrKpV0639y3Av29hYtWkRZWRmhoaGStn8tSNk39e9Hqc9JU3xWNmXs5yo7O5vy8nIMBkOj99OaNWvYsmULZWVluLu74+Xl1ah//89SVVWFl5cXp0+fZu3atXTs2FFuSQpNhJvCuLLf3D///DNLlixh48aNqNVqWrVqJbmGrVu3MmvWLL744gt8fHxo3bq10x/I9knIzp07SUxMJDc3Fw8PDzw8PGQdDOxtf/LJJ+j1erp160Zqaipr167FxcWF8PDwRm/Tfh5qa2s5c+YMnp6eqNXqC96TEnubJpMJk8lEcXExWq3WoUkq7L977dq1HD9+nIqKCpo1ayZZf9j7wWKxkJOTg06nw8XFRZK27dgnR1999RUrVqxg0aJFVFZWEhsbK7mWi7H3z/r161myZAnDhg1jz549LF68GJVKRVRUlFPbt1qtlJSU8Pnnn+Pm5kZUVJQs90tNTQ0ZGRl07txZNsNq06ZNHDlyRJJJnL2PU1NT+fnnnwkLCyM4OFhyw7Ih7BoyMjJYu3YtaWlpiKKIn5+fU7XZF+XKysr4+OOPSUtLo1WrVri5uTmtzfrYr4VNmzaRkpJCeno6wcHB6HQ6Sdqvj/36SEtLIzExkZKSEsxmMz4+Pk3C2LOfq+LiYl555RVCQ0MxmUykpKQ02vheVlaGl5cXZrOZEydOkJGRgdFoxMvLS7Jr4nLo9Xr8/PzIyspi9erVLFu2jICAAEJCQmTVpSA/N7xxJYoiKpUKo9HIZ599xsiRI8nMzOTAgQOsX7+e0NBQAgMDna7D/pCbPHkyDz/8MJ06dWLWrFksXbqUzp074+Pj45R27b9fFEXefPNNNBoNBw4cIDc3l4qKCry9vWV5ANkf/MeOHePQoUO8/PLLxMbG0rJlS8eOgTOMX/t5ePvtt1m3bh3Tp0/H3d1dltX4+nqmTZvGwoULOXHiBGfOnKF169aSDdb2SdKmTZuYPXs2rq6u7Nmzh5KSEtRqNf7+/k5tv/4A/MYbb3DmzBnmzp1LixYtaN68uVPbro8gCJSUlDB79mzeeecdCgsL2b9/P19//TWtWrWSddfAfp18//33PPzww/Tr14++fftis9k4cOAA/fr1c0q79SdoBoOBuLg4tm3bRmRkpGNXTypqa2tp2bIly5cvZ8OGDfTo0UNSDwRBEJg5cyYLFy7Ew8ODxMREiouLadmypdN02Ps+Li4OV1dXTp06RXx8vOyGFeDQMG7cONq3b8+3335LVVUV4eHhTjU67dfklClT8PT0ZO/evSxevBibzYaXl5fT21apVOTn5zN+/Hjc3NwoKCggLS2N6upqpywIXg77c/PcuXO8/vrr2Gw2UlJSOHnyJB07dpTF2LsY+/X73//+l+7duxMUFMRPP/3E+vXr8ff3b5T+mjNnDl27dqV169YEBgZSWFhIeno6WVlZ1NTUEBISIsvYbr9Oi4uLsVgs9OrVi4iICL766iu2bdvGHXfcIfkiqkLT4YY3ruw31c8//4y/vz+dO3cmOTmZ7t27c+TIEQYMGOA0w8aO/SbbsmULx44d47nnnqN169aMGDGCrKwsfH19nbaSYf/9c+fOJSQkhDFjxrBhwwYKCgpITk6mR48esmyh23WtXLmSQ4cOUV1dTVBQECEhIcTFxdG6dWuntX3kyBG2bt3Kl19+SUxMDPPmzePLL7+kf//+TnFZuBz262Lt2rUkJibywQcfoNVq2bJlC/7+/oSFhUmiQxAEBEHgnXfe4eOPP6awsJDs7GySk5PJzc2lb9++Tm8f6nYwu3TpQlRUFGlpaQQEBODu7o63t7dT26/PmjVr0Ov1+Pr6cvLkSR555BGOHj3KvffeK5urSUZGBj4+Phw8eJAdO3aQm5uLp6cnQUFBtGvXjt69ezttkLafm+XLl7Nr1y7i4+PZsmULK1eupFOnTnh5eTl1hdy+Mr97927WrVtHamoqI0aMYPv27RgMBkkms/ZJrNls5tChQ7z22mv06dMHURTZtWsX586dIz4+vlHbzMrKwsvLi7NnzzJ+/HgsFgs1NTV89dVX5Obm0rFjR1ld2+1s27YNo9HI2LFjWb9+PQ899BALFiygXbt26PV6p7QpCAIZGRls3LiR9957j8zMTGJjY5k5cyZxcXFO3cW1X+e//vorXbp0YcyYMbi7u1NUVERaWhqdOnWS7LzYtcycOZO2bdvy4osv0rFjR1atWoXFYiEuLk4SHX9ETU0NixYt4ty5cyQnJzN+/HhMJhMWi4V27dpd99/v1q0bgiAwduxYzGYzgwcPJjAwkJSUFNzc3IiJiWmEX3FtGI1GdDodOTk5/OMf/6CoqIg5c+YQEBDAM888g16vl0WXQtPhhjau7JNUrVaLr68v1dXV/Prrrzz11FOkp6fj7+/PoEGDnKrh+PHjGI1GDAYDBw4c4MyZMyQlJeHq6krz5s3p2bOn07eIRVEkLy8Pg8HA8uXLGT9+vOPBPHToUKe23RD2CVNVVRVdu3alffv2bNmyheTkZMfqX2NPFi0Wi8OImD9/PlarlYEDBxISEsKDDz6Ih4cHXbt2lXSFy97WqlWrSEhIICEhgVatWlFQUEBqaiq33Xab0zWYTCY0Gg1lZWWcO3eOFi1asHr1aj7++GPWrVvHX//6V4KCgpyuw2g0snbtWv7yl78wa9YsXnvtNcfErTEG4CuxYcMGtFotnvZIqoEAACAASURBVJ6eNG/eHIvFwubNmxk6dCiJiYmEh4c7bWfoj0hPTycxMZF27dphNpuJjIykpKSEU6dOkZ6eTlBQkNONvuLiYpKSkkhLS2Pnzp2EhIRw6NAhrFarY2LjDOy7BCUlJXzwwQd06dKF48ePs2nTJkRR5IsvviAiIsKpCzF2BEFgzpw5HD9+nJMnTxIREUGnTp2IiopyTKgby8gsKSlh8uTJnDx5Eq1WS1xcHHv37sXHxwebzcbZs2cJDQ2VzbWo/u8sKytj06ZNLF68mCeeeAKDwcD27dt56KGHGr1do9FIWloaQUFBVFZWOhYIdTodTz/9NImJibz44otO3w3IzMxkypQp+Pj40KlTJ8LCwoiIiCAyMpKgoCBJ3fHsO9eVlZV07NgRLy8vkpOT0Wg0ksVj/hEajYZ27doRGBhIq1atyMzMZMmSJbz++uvX7W5tsVhQqVSsW7eOYcOGcezYMZYuXUpQUBCDBg2iY8eOksZvQ92YOm/ePFxdXZk/fz69e/fmueeeo1evXmzevJl+/fo5fUxTaPrc0MZVWloaERER/PrrryQkJBAeHk5hYSG//PILa9asYfLkybi6ujpVw/bt24mNjSUtLQ13d3fat2+PxWLh4MGDHD16lPj4eKcPBoIgEBERgclkIiMjg+zsbH766SfeeOMNPD09ndr2xdR303zzzTf5/PPPad26Nc888wxFRUVkZ2fTvXv3Rm93zZo1BAQEUFlZSV5eHgUFBSQlJWGxWGjZsiWxsbEIgiBZHEn9AVij0TB37lx0Oh0tW7bkP//5D/fee6/TV+UPHjzIsGHDHPFuXl5e5OTkUFlZSVFREceOHeNvf/ubUzXY0Wq15ObmMnv2bIKDg0lISGDhwoW89tprTh8cT58+Tbt27Vi2bJljpdNqtbJs2TJ27drFe++9J/kAbcfX15cOHTqwbt06pkyZQkREBP369cNqtXLq1Cl69erlFPef+tfnmTNn8PDwYPTo0fTs2ZOePXvSpUsXVq1ahV6vd+p1KggCP/zwAy1btmTkyJHcfvvt9OnTh3vvvZfBgwezZcsWevbs6dSdM5VKxbFjx/j++++57777KC4u5siRI2RnZ9O5c2eHW3VjamjRogXZ2dns2rWLyMhIHn/8ceLj4xk8eDD+/v4sWLCA9u3bS/78tmOPTYyIiMDV1ZWkpCTOnTvHb7/9xrhx4wgMDGz0Z+nBgwfx8PDAZDJhNBrp168fZrOZAwcOMGfOHIYNG9boO4gN4e3tTbt27diyZQu//fYbHh4eREVFOTxgpE7CExAQwJEjR0hJSWH79u0cPHiQCRMmyPbMggvjvH/77TdWrFhBQkICQUFBJCUlcccddxAbG3tdbdhsNtRqNQcPHmTMmDHcdtttPProo0RGRjJz5kxCQ0Nl2R2qqKhg27Zt7Nmzh+zsbLp160ZYWBh+fn4sWrQILy8vIiIiJNel0LS4YY2ruXPn0rx5c1q1asW0adOYM2cOvr6+DBo0CLPZzIgRI2jZsqXTdURHR6NWq5k9ezYnTpxw+Bm7ubkRHh7utImJ/eGWkpLC4sWL2bRpE926dSMiIoKlS5dy991307NnT6e0fSXsk7bPPvuMuLg4+vTpw8SJE1mxYgX3338/d955J2q1ulEHZovFQl5eHjExMSxbtoyIiAiio6Ox2WyO2CL7g16KgdE+YTMajaxbtw5BEIiOjubAgQPMnz+f+Ph4Ro4c6XQdzZo1o3///nz66aeOTEa9e/dm7ty5pKen889//tOpLnn2a3THjh3s3buXFi1aIIoiGRkZlJSU0LNnT0lW+Fq1asXRo0f57rvvSExMpLKykoSEBEJCQnj00Ufx9fV1uoaGsK/Kms1mYmJi6N27N0uWLGHnzp20b9+eO++806kuzfbdmi+++IKysjIOHjwIQFBQEM2aNePUqVPk5eU5ZTHE3n5WVhYffvghsbGxxMTEoFarHcZkUVERCxcu5MEHH3RK+3YNAAsWLKB58+b89a9/JTQ0lPLycsdCUGPGP4miiIuLC82bNycmJgYfHx927NjBmjVrqK2tJSoqirCwMGbOnMnIkSOdvjjYkD5BEDh79izTpk1j5MiRdOvWjfj4eFq0aEHfvn1p166dYxGtMfHz8yM4OJjly5ezdetWysrKCAkJwc3NDW9vb0aPHt2o7dXH/qz67bffmD9/PiaTifHjx2O1Wpk2bRrx8fGSxG7X17J27Vp++OEHiouL6dy5M66urri5uXHPPffInlXSfu4nTpzIoEGD2LdvH6dOnSI0NJT77ruPyMjI627Dfm9+9tlndOrUidLSUnr27InVaiUwMJC77rrrutv4M7i5udGnTx/Cw8MpLS0lJSXFsaCemZnJ3//+d1l0KTQtbljj6sSJE/z444+kpKTw1ltv0b17d/73v/+xevVqRowYcd2rJtdCYWEh99xzD/7+/qxbt44zZ84QFxfn1BVX+8Pt9ddfp1mzZmi1Wn788UdsNhuvv/46HTp0cEq7V8JqtaJWqykoKGDx4sU8//zzbN26lQkTJrBnzx7MZrPDFa4x+0WlUhEeHk5FRQVr167l6NGjjoQZ/v7+9OjRA71eL6k7hyAITJgwgdLSUqKjo4mOjsbT05OnnnqKHj16OH030z5xr6qqIicnh/DwcObNm0dqaipvv/02f/nLX5we62RPtPLGG2/QokUL7r77biIiIhy7JFKtOoqiyMcff8z06dOJj49nzZo1rF27loSEBNq2bSuJhoaw38Pvv/8+X331FaWlpUyYMAG9Xs/ixYt54IEHnHK92o3/yspKfv31V9555x3atm1LRUWF4z5t06YNgYGB9O3b16mZFL28vAgLC2PNmjUcPnyYgIAAAgICEAQBtVrNwIEDnRbbY38eFBUV8dtvv5Gbm+tI2NCtWzdiYmJwd3dv1OeG/W8tWbKE06dPo1ar6dq1K56enmzbto327dvj4eFB//798fPza5Q2r4X6GRPz8/MpLS3FYDAQHR1NWFiYw8Bo7OvSarWi1Wqprq4mODgYvV7vcI318fHhsccec7p7qslk4tVXX2XYsGHMnj2bX3/9lb59+zJu3DhatGjhlLYbwv7cHD9+PGPHjmXo0KEUFBSwbds2nnvuOZo1ayaZliuxdOlSrFYrAwYMYOPGjbz22mssWLCAhISERlsUWLVqFenp6XzwwQcsXryYwYMH8+abbxIdHd0oBty1Yjd809LSyM/PZ+TIkXh7e7Nu3Tr27NnDuHHjmsz5UZAX+VMS/UkeeughPvvsM/z8/Hj66afZv38/33//Pffeey9FRUVOb99e9HLVqlWOAOj8/HwmT55MaGgoarXaqYMBwO7duwkODmbcuHE8//zzvP766xw7dox9+/Y5pd0rUV1dzdatW7HZbAQGBjJq1CgWLVpEcXExvr6+uLu78/TTTwONW1zZ/rfKyso4duwYr7zyCqNHjyY1NZUlS5YQGhpKQEAAIJ07h31FPi8vj4kTJ9K9e3eqq6tZtGgRVqtVkrTfdpeRjz76iB49evDyyy+zbNkycnJyGD16NFar1ekaoK5+T3BwME888QRqtZpjx45x6tQpbDabZMVBly9fzubNm6mpqaF169Z89NFH3H///bLtWMHv1+3y5cupqalh8uTJrF69mnvuuYeysjI+/fRTpy/MfPPNNxQUFGA2m2ndujXDhg3jrrvuciyA2HfgGxv7tXfgwAE+//xzjEYjX3zxBW3btuWf//wnR48eBercs5y5W2Dv39TUVJ5++mmGDBnCqVOn+Oabb9izZ49j8aGxzoPdqE1LS+Onn34iLS2NlStXsm/fPtRqNePGjXOkYZciDrIhffb/Dxo0iMGDB2MymdiwYQM///wzRqPRae2q1Wry8vJ45ZVXyM3NpUePHrRp04ZmzZo53ZW7flKoIUOG0KtXLwYMGEDPnj0ZO3YsxcXFTmv7YuzFw/fv34+/v79jkbRLly6UlpY67RxcLeXl5Y5/d+/eHZ1Ox5QpUxg9ejTJycmUl5dfd4xo/XHhtttu49133wXqXGnHjh2LwWBgyJAh19XGn9WlVqsxGo1MmjSJb7/9lv79+2M0GpkwYQJPPfUUCQkJkutSaJrccDtX9esYVVZWEhYWxsCBA0lMTGTq1KmMHDlSkgtcEAREUWTKlCn897//paKighkzZrB8+XKeeOIJpxWTy8/PR6VSoVarWbx4MWfPnsVsNuPr60t4eDhDhgyRxWXg5MmT6PV6LBYLGzZsIDIyks6dO5Oamsqnn37KgAED6NGjh2OC0VjYB8YJEyawe/du3n//fVq3bs2YMWOoqamhQ4cOsmTdqqysZNu2bQDExMSg0+mYP38+Dz30kCTpWa1WqyMVPtS5COr1ek6cOMFf/vIXyWrAubm5kZKSQrdu3dDpdI4dgv79+zt1wlRcXOzIWOXp6UlJSQlffvkl1dXVdOrUiejoaKenoL8SgiBgNpuZMWMGY8eO5dChQwwcOBC1Wk1iYiIPPPCAU9qtvwvj6enJiRMnWLduHR4eHkRERBAWFuZUV7T6pSP+/ve/07NnTz7//HO2b9/Offfdx2OPPSaJO7ddS0ZGBpMmTSIzM5NevXqRkJBAXl4eHTp0aPREIvZ+//DDDxk3bhyhoaGkpqaSnJyM0Whk6NChqNVqWdKw13fz+/e//83GjRvRarV4eHjg4uJCeXk5vXr1ckrb9n7517/+Rb9+/aioqOCXX36hqKiI+++/n06dOjm1T+z3RElJCQaDga+//pqRI0dis9mIiopi4MCBkng92LO3NmvWjODgYNLT0zl69ChWq5X169eTn5/Pvffe61QNf8T+/fv56aef2LFjByEhIWRnZ7N582ZCQ0NZsmQJ77zzznXHCdr7eteuXezevRtPT0/HLu706dP54IMPZHl228//rFmz6N69O6+++ip79uxh7ty5HDlyhKeeekrWODiFpsUNZ1xB3UX+r3/9i/Xr15OWloYgCAwdOpQuXbrQvHlzp7mRXMy2bdsoKSkhJiaG5ORkZs6cyYIFC7jjjjsIDg52Spvz5s2jdevWGI1GQkND0ev1ZGRkkJmZ6TA2pa75cObMGUwmE3FxcSQmJnLo0CHy8/OprKzEYDAwbNgw7r77bsfnG9vFZvfu3aSmpjJjxgyOHTvGypUr+fHHH3nmmWfw9/eXzB2w/gqrwWAgMDCQpKQkvv32WzZs2MBdd93l9IBs+29VqVQIgoBer2f37t1kZmayYsUKTp8+zfPPP+9UDXbKy8sJDg4mOTmZqVOnkpuby9atW3nrrbfw8PBwatsnT55k+vTpzJgxAz8/P1566SViY2MdcQxDhw6VbSCsqKhAp9OhUqkIDAwkMzOTxMREnnjiCVauXMk//vEPp00e7Nfnxo0bycnJYezYsQQEBPDll1+SlpYmWVp+e52zxx9/nPz8fLy9vXn77bcZMWKEZIV7BUHA19eXRx55hLNnzzJ16lTKysp4/PHHG/35XV5ejk6no7a2lsLCQjw9PVmwYAHTpk3jwIED9OjRg9jYWFkKN8Pvz42ZM2dSUlLCAw88gNFo5Pjx4zz99NN06dKl0WNl61NcXMyyZctISEhgxYoVPPbYY2zatImAgACnZ4u0/x53d3cCAwMRBIH09HS++uorJk2a5JSEJg1x5swZ2rZty9atWzl48CD+/v6Ul5dz6NAhzp49y+uvvy7Z3OZyBAQEsGXLFhYvXkxgYCD/93//x7333osoijz66KPXXbfQvviakZHBO++8g6+vLx999BEVFRX079+fTp060a1bt0b6NddOTU0NmzZtIiYmhu+++45JkyZhMBhwcXHh9ttvl02XQtNDEKXyzWlEDh8+zMyZM3nzzTeZOnUqVqsVURR5+umnnb5rVT9ZgcViYe/evRw4cICoqCjUajXJyclMnDjRqRrMZjOjR48mLi6OESNGYDQa2bx5M9HR0RcYMVJx4MABvLy8qKiocEzsd+/eTWVlJT4+PrRv355OnTo1+q6VnW+++Qa1Wo1arSYwMJCIiAjeffddvvvuu0Zv63LYJyeiKDJhwgSCg4Px9PQkKirKUYxVikxX9j7++eefOX78OL169cJqtVJSUkJ4eDhBQUFOra9lb//QoUN8/fXXnDt3jg8//NCRDt7Dw0Oy+IVNmzbx+eefExwczIMPPsjAgQNJTU1Fp9NJkt67ISoqKvjkk08oLS3Fw8OD999/H6PRyJdffklGRgZarZZp06Y5pW37uVm2bBlr1qxBq9WSkZHBiy++SN++fcnMzKRNmzaSLEZs3LgRk8lEYmIijz76KDk5ORw5coSXXnrJqe3W57PPPiM4ONiRXObQoUNMnjyZr776qlETiVitVg4fPkxJSQm1tbXEx8eTlZXFsmXLaNu2LatWrWLBggWN1t6fpba2ltdee4033njDETfy6quv0qdPH4YNG+b09mfNmoVer8fHx4fWrVvz/vvvM3fuXKftWtnvh127dvHzzz8TGBiIVqvF1dUVq9VKeHg499xzjyOWWApKS0sd7vRBQUH4+fnRrVs3/Pz8mkxB2iNHjnD06FFKS0sdGZtdXFwYM2ZMo7UxceJEBg4cSGRkJN999x2HDh3CYrGwYMEC2eu/FRQUkJmZyZo1a+jatSvz5s1j1qxZTl8wVLixuCF3rnbs2EF8fDwVFRUYDAbi4uLIy8tj1KhRkqQ9B3jrrbeora3lnnvuwcfHhzVr1rBs2TImT57smEw3NmazGbVajcVi4cEHH6SgoICvv/4anU7HPffcQ8eOHWV5ADdr1gxfX1/WrVvHN998g4uLC4MHD8bNzY3s7GxSU1OJjIxs1H6pPwGMjY1Fp9Oxe/duQkJCmDt3Lo8++ijh4eGOAFRnY9cze/ZsjEYjwcHB7N+/n5KSEtRqtSSrWnbXnpycHD7//HPi4+P54YcfEASBli1b0q1bN6e7U9jPybvvvsuDDz6Iv78/7777LllZWQwdOtQR/yYF7u7u3H///QQGBvL999+zdu1afv31V8aMGSPL7oDFYsFqtdKvXz9mz57N4cOH8fPzo0OHDpjNZjp06MAjjzzitMmD3fifNm0aH3zwAV5eXqjVar744gsKCwsdrojO7pukpCQCAwMJCgrCaDRy7tw5/ve//zl2NJ25e7N161Zqamocu2OrV69m1apVREREsH79ejp37kz37t0bVcOsWbOorKxk0aJF7N+/nz59+tC+fXvKysrYsmULL730kiPWSg6XQPg9nuTUqVP88ssvhIWFERAQwMyZM3niiSecUkza/nu3b9/O2bNnGThwIF26dCEpKYmtW7cyYMAApyW9qe8G+dFHH9G7d2/atm1LUVERoaGhPPbYY7Rp0wb4vQi7FMyYMYP777+fyMhIMjMzOXnyJBUVFbRv316S9i+H/VwlJydTVlZG9+7dHa6zBw8epH379tdd3Nl+z1ksFk6ePEmzZs2YM2cOEydO5Ny5c/To0UOSBcrL6dq3bx+bN2/m9OnTtG3bFqPRyLZt2+jTpw9du3aVXJdC0+aGMa7sF/ixY8ewWq0UFxdz+PBhxo0bx/z58+natatkhduOHz/O2rVr6dWrFy1atMDDw4NWrVpx//33O3VXQK1Ws2PHDt5//33mzZvHww8/zMiRI1mxYgWurq6y1Hywn5esrCyio6MZOXIkO3fuZMGCBYSFhfHQQw/x9ddf4+np2Wj67IN8ZWUlq1evZvfu3eh0OiIiIlizZg1Wq5Vnn30WQLLJiiAIlJWVMWvWLGbMmMGWLVsIDw8nJSUFg8FAly5dJNEA8O233zJw4EBuv/12cnJyKCgo4NChQwwePNgpNZMuJjExkX379vHSSy/RsWNHHn74YVavXo2bm5vTMzzZJwFLly5l79696HQ6evXq5Uhgcffdd8sWa7Vt2zYqKysdCV6effZZvvzyS3766SdycnKIiopyTOicRXZ2Nnl5eQCsW7eOd999l+PHjzN8+HCCg4OdtmtVP8uWfefO29ubsrIy8vPzueOOO+jWrZvTdrftGoqLi4mPj2f+/PlYLBYeeeQRVCoVM2bMwGQy8cYbbzh+f2P0Q1VVFevXr2fbtm1kZGTQv39/ysrKyM7Odriz2yfOchhW9vNiMpmoqanB29sbLy8v5s+fz6pVq7jtttsYMGBAo5+X+hn63n77bVq3bk1SUhInT550JERy5nhmP7fLli2jpKSE559/3hFvOHfuXHr27OlwwXO2YVX/nrMvyN1+++0kJCRw5swZOnXqJGt8qP1c1dbW8uqrr5KSkuKo59SlSxfuvvvu6zas4Pd+/u6777jjjjuorq6moqKCnJwcNmzYwNtvv33dbVwr5eXlDq+Y8ePHo9FoMJlMHD16FJvNxpNPPulIAKSgUJ8bxriyr7pOnjyZv/71r7Rr147k5GTefPNNtFot48ePl0yL3Rc9MzMTqKvPERYW5rTsYzk5OXzzzTfExsYybdo0xowZQ1RUFO+99x6HDh1i0qRJslQEr+8CNmXKFBYuXEhqairPPfccnTt3prCwkPbt29OsWTMGDhzYqG0LgsAnn3zCoUOHaNWqFRs3bsRsNvP8888zZMgQXFxcZFkJrq2t5fTp0+Tn5/P888+zcOFCXn75Zdzd3SVp32q1cu7cOfLy8lixYgWTJ08mKyuL0NBQyeqeHTt2jAMHDrB9+3bHvXHXXXdJkjrXPgmYMmUK48aNY+3atSxatIhVq1YxZswYWScprq6uREVFsWbNGnJzc4mLi2P06NGOhBuPP/64U9qtvwvj6emJr68vNTU1AI77ZtSoUYDzJpL2+3DSpEnExMRQU1PD8ePH8fPzo1evXtx+++2NatRcTkPz5s3Jy8vj1KlT5Ofnc/jwYTp37szzzz/PHXfcgU6na9TnhouLC3379iU6OprKykqOHj1KdXW1I7nLwIEDnR5jdiXsv/Oll15i3759zJ8/H6PRyOuvv07v3r3p16+fU86L/W/98MMPqFQqBg0axHfffYdGoyEzM5OePXtK8uzetGkTS5cuRRRFOnfuTHJyMllZWU5LKNMQ9t2aX375hYyMDBYtWkRRUREzZ84kPDy80cfOP6MP4KuvvqJdu3a88cYbrF+/ntWrV3P48GF69+593VlF7c+o9evXs2PHDkaOHElISAg7d+4kPT2dESNGSJaEqT4fffQR69atIzs7G71ez5tvvklQUBDV1dWcPn2auLg4p9YiVLhxuWGMK6hLW7xgwQKeeOIJXF1d6d69O23btmX48OFOn7zW3xYvKChg2LBh2Gw2tm7dyuHDh/n/9u48Lspyffz4ZxhWEZBFAVlkdWEVUHBHRM19zTT1qOdkaqVZWh0r0yx3zTW11Dx2ckPcUANxwUBxA2FCQBAhRWSRLVZhEPj90W/mUN/qfM/3MDMo9/u/XlT3/czM89zPdS/X5e7urrI+FBQUkJCQwPHjxykrK2PBggV07tyZv/zlL9y8eRN9fX2VFSv+M4qH7saNG5k7dy59+vTh4sWLbNu2DTs7O1555RUAbG1tm73doqIiYmNjWbVqFT4+PtjY2PzqQa84+6Vqit+FXC6nvr6e7t2706ZNG44cOcLly5dxdnZmyJAhKu+HgpaWFq6urtja2pKRkcGxY8eQyWSsWrVKpTOwisGxrKwMc3NzevTogZ6eHpGRkdy+fVtZjFUd22uuXr1KTEwM7u7uXL58me3bt/P999/Tp08ftRdlVWhoaMDIyIjw8HBSUlLQ1dUlLi6O3NxcAgICGDFihMraVnzm27ZtIykpCR0dHaytrbl165byeWJkZKTyZArXrl1DJpOxcuVK+vfvT2FhIadOnSInJ0dZ30mV5SsUGRqPHTuGhYUFVlZW6OjocOXKFcrLy5Vbjpr7uSGRSLC0tKR///6Ym5uTmppKUlISn3zyCY6OjhpLYqFo9+rVq6Snp7N+/XoGDRpEfHw89vb2dO3aVSWBVdOVmuLiYhITE8nOzubtt9+mpqaG4uJi+vfv32zt/VH7lZWV+Pv7M3bsWEJDQ9myZQsZGRmsWbMGAwMDZa1Adbhy5Qrx8fGYmJhgYmJCx44dmTZtGt7e3hpNYqH4DBoaGoiNjaVTp06EhoaydOlSjIyMaGxsZOjQof9VGwUFBWRlZSGTyQgNDcXY2Bh3d3eMjIzw9fUlKCioWVbG/hOK34i/vz+lpaWcPXuWhoYG3N3dcXBwoHPnznTq1EkjAZ/wfGjxwdVvUyqXlJT8KqVyx44dVR5YlZSUKB9wCxcuJDExkbNnz9K7d2+Cg4ORSqUqS73+448/cvLkSYyNjenTpw9ZWVlERUVhYmKCnZ0dQUFBGgmsFDIzM4mLi6N3794cOXKEdevWkZmZiYuLS7Nnv6qpqSEtLY3w8HB++OEHkpOTcXNzw9LSktraWr799lsmTJigljpSCorB9/PPP+fgwYMkJCQwbNgwzMzMMDU1Zd68eSp/cVJ8xmfOnOHw4cNERUVhbm5O9+7dqa2tZeTIkSpNb61YwXz48CELFizg8ePH1NXV4e7ujouLCx07dsTZ2Vmln4NiMJTL5dja2lJZWUlNTQ29e/fm6tWrlJWVMWrUKJW1/2eaJsHZt2+fMoFEZWUlSUlJVFRUqGzlWfG5pKam8t1332Fvb09KSgr19fU4Ojoyffp0LCwsVLodT6GmpoawsDA6duxIp06dKCsro7i4GAMDA7KysujZs6fKg6t9+/YRHh5OYWEhRkZGWFpaYmVl1Syz7/+OVCrFycmJXr16oaWlRb9+/dQ24fB7FO3u3buXTp060aNHD9q2bcujR4+QyWQqC3CaZqwMDg6mc+fOdO7cmfj4ePbv38+KFStUNqY3rTX22WefcerUKWpqavj73/+Or68vMTExxMTE4OXlpfI6eE3PGDk6OuLv70+/fv1o164dkZGRzJw5kzZt2mjs99HQ0EBqaqqyZMOAAQPIzc3l4cOHaZtApAAAIABJREFU1NfXExoayieffPJff1ezZ89GLpfz448/0rt3bzIyMrhz5w4SiYSOHTuq/L78PRKJhLt373LlyhU8PDyYOHEiWVlZHD9+nNraWpycnFRag094/rX44OrfpVQeOXKkylMqL1u2jIsXL5KSkoKHhwefffYZ7du355///CcJCQnMmTNHZS/07777LgMHDsTT05MBAwbg4uJCZmYmiYmJXL9+nT59+mg0i5CZmRmWlpbcu3cPiURCbW0taWlpyqxfzTkwrF27luTkZDp06MBrr71GSkoKERERFBUVcf78eUaOHImHh4faZoIV7Xz//fckJyfz2WefER8fz6ZNm7C3t+cvf/mLWvbrK1bO1qxZQ1BQEJaWlly7do07d+4wdepU3NzcVNoHxTV+9tlnjBs3DrlcTmRkJNnZ2QCMHDlSbYlmjh07RnR0NEFBQfTv35+kpCQuX77MsmXLNDJIN+3buXPn2L9/P56enjg5OeHq6oqTkxNubm4q65ui7djYWAICApgyZQrt27cnLi5Oebaj6b/X3JquUpiZmWFlZUVYWBiHDh0iLi6OTZs2ce/ePfT09FSS6VXRvkQi4cGDB+zYsYPQ0FCsra2JiYkhLS0NW1tbPDw81PYcNTAwwMvLS7kioKmXZ/hl4jAhIYHs7GykUimlpaWcOXOGyZMnq6yAb319PVVVVbzzzjucPn0ad3d3fH19efr0KSNGjFDpRJDiWjZs2MDIkSPp0qUL33//PYcOHcLZ2VlZxNrY2Fjl9dYUv82tW7cSERHB5cuXaWhowMfHh8jISIKCgjSaGa+mpoaYmBiWLFnCyZMnee211+jcubNyvO3Xrx99+/b9r9o4cOAAurq6/P3vf6e6uprY2FhKS0u5dOkSSUlJWFhYaOQs+Z49ezh//jw6Ojrs3r2bn376iTfeeIOePXuye/dujZ1xF54fLT646tChAzo6OspUtooD6oriwerIPta9e3fy8/M5e/YstbW1DB06FCcnJ8aOHYuJiQlOTk4qaXf//v3o6+szd+5cLC0tkUgkGBkZER8fT+/evfH29lZpAo0/oshamJiYyKNHj3j06BFeXl4kJiYSFhbGnDlzsLOza9aBOSkpiaioKNatW4e3tzfbt2/nyZMnylpjVVVV9OjRAxsbG7UNSIpZx3379jFo0CDlFgYvLy9u3bqltroXEomEc+fOAb/MAjo7O9OxY0eKi4txdnZWy5mO/Px8ZDIZ8+bN48yZM7z++utERkYyYMAAtW3pqK+vp7CwkLKyMn788UcKCgrw9/dn0qRJGkuTm5CQQEpKCgkJCYwfPx5zc3O++uor4uLicHd3x87OTmWBleL+Cw8P59ChQ+Tk5NChQwe8vb3p168fzs7OGBoaqiyJRdMVzXXr1hETE4NEImHq1Kn06tULR0dHrl27xoULF1i5cqVKE2kAZGRkkJOTw/Dhw7G2tsbFxYXjx48rX6bVcSbwtzS5HbCqqoq8vDzGjx+PjY0N4eHhREVFYW1tzfjx49HW1lbJaqaWlhZ6enpMnz4dXV1dPv/8c27cuMGkSZNUOp5FR0djaGhIXl4esbGxTJ06lZCQEObNm6fMTufu7k6/fv3UUshaccbo6tWrLFiwgP379yvPbo8fP17jqb11dHTw9PSkuLiYyspKZDIZVlZWtG3bljFjxvzXK5tFRUV8+OGHrFmzhrZt23Ls2DEaGhrYtWsXNTU1jBkzhpdeekntk8cFBQXs2bOHNWvWEBgYyNSpU8nMzGTFihWMGDFCeeZdU5k9hedDiw+uQPMplQ0NDenRowe9evUiJSWFAwcOUFNTg6enJ3Z2dipr9/bt2wQGBmJtbU1jYyN1dXXo6ekhk8morq5m1KhRah+c5XI5urq6FBQU8OGHH1JVVUV5eTkZGRn079+fqVOn0q1bN6B5XxxCQ0Pp27cvrq6u7N27l9OnT7Nz507c3NxwdnYmMDCQr7/+mjZt2ijbV4fs7GzS09P58ccfqaiowNLSEicnJ7UGVrW1tRw4cIDHjx8jlUqVtay8vLyUle1VLS0tjbq6OpKSkjA1NSUoKIiwsDDee+89tbQPv7y0OTo6YmtrS3l5OVFRUZSVldGrVy+19aGp0tJSFi9ejIWFBT/99BM2NjZ4e3vz17/+lczMTDZu3Mgrr7yikpcHxYpmXV0de/bs4c0330RLS4uoqCju3r2LjY2NsuCnqp4hiv/vpk2bMDU1JSAggPv373PlyhVsbW3p06cPpaWljBgxAktLS5X0ISwsjL1799KxY0d8fHyUAYSenh4HDx5k5syZdOnShaSkpFaT9atpuYSIiAg2btyIv78/s2fPRktLiwcPHpCWlqYMvptTfX09V65cISoqCi8vL7p168bLL7/Mnj178PDwUNl4WlNTw9atW7l48SLW1tbY2tqSlpZGu3btsLKyIikpiUWLFgGovM7bo0ePOHfuHA4ODmRkZBAQEEB2djbOzs44Ojqyb98+tdQV+zPbtm3j1KlTVFZWMmvWLCZOnIhcLuerr77iwoULODg4/NeTyunp6aSkpFBcXMyjR49ITExk27ZtAMpsw+7u7s1xOf+R9evX4+/vT0BAAHK5HKlUip+fH4aGhjx+/FiZ3VOTK85Cy9dig6uWkFK5aRKLK1euUFhYyIQJE3Bzc+Pw4cPo6uqqdFY+JyeH3bt34+Pjg5mZmfIl7NixYzg5Oak9Q+CzZ8+YPHmyci92z549mTt3Lu3bt+fWrVu4u7urLJV0eXk5u3bt4vz581RWVrJo0SIcHBy4desWycnJvP7660yaNAkXFxeVz3QpZn5ra2uVLx82NjaUl5dz/vx52rdvr9b92DU1NQwfPhxTU1POnz9PWloaenp6Kl/VVBx2Pnz4MMXFxcyYMQN9fX3Wrl3LiRMnmD17tkpXA5q+BEVGRrJnzx6cnJyUg/Lly5cZP368xvbGb9++nZ49e/K3v/2NlJQUtm3bRkREBHv37mXLli2MGzdOpedFJRIJoaGh5OfnM2bMGOVq0a1bt/D19VXLimZaWhoymYx3332Xrl27Ym9vz9OnT2nTpg0uLi4qP7ugqAsYERFBdna2cvy4cOECNjY2BAYGsmHDBqZPn64snPsiU9wzMpmMmzdv8vXXXyOTyTh06BCnT59m/vz5eHl5UVJS0qzZRaOjo9myZQspKSl06tSJO3fucOnSJQwNDUlPT8fAwECZsVIVtLW1GTFiBPr6+oSGhvLw4UOCgoKQyWQcOXKEadOm4eTkpJazh1988QW7d++msLCQ/Px89u3bp8z6u2XLFkaPHq2xIufwy3d19epVZs6cSWBgINeuXSMkJARXV1fmzJmDj49Ps0xYWVlZ4e/vT3FxMUePHkVXV5exY8eSmJhIUlIS77zzTjNczX8mOzub7du3ExwcjL29PXp6esqdOllZWcTHxzN48GARWAn/VosNrlpCSmXFQ3bJkiVoa2uTkZFBRkYGbdu2ZcaMGfj4+Ki0/S5dulBcXExaWpqyGO3t27dJSEhgyZIlKm3792hpadG1a1e+++47rl69SteuXenevTvm5uZERkaira2tsmKHisw8lpaWzJgxA1tbW2pra1m3bh0fffQR7dq1U2YIVFddknXr1nH27FnKysrIz8+nW7dutG3bloCAAJVvTVQEeNevX2fNmjXs27ePUaNGMXnyZBITEzExMVFpJqMbN24QHx+Ps7MzK1eupFOnTvj6+mJhYUFQUBDe3t4EBQWprH2AvLw8DAwMyMnJoXv37spEM3K5nLNnz1JaWsrMmTNV2oc/cvfuXb744gs++ugj2rZtq1x5Xbt2Lfn5+dTU1KhshVXxglhcXMz58+fJzc0lISEBa2trunXrRlBQkNrSfyuyRVZVVdGhQwdsbW3p1q2b8uVR1asE5ubmeHp6YmVlRWFhIefPn8fOzo558+Ypd0K4uroyZswYlfWhJVF81uHh4djY2PDgwQO6dOnC66+/TkxMDNOmTcPMzKzZi7UuXbqUESNGkJeXR25urnLb28mTJ4mPj+ett95SaQIJxUSpk5MTo0aN4smTJ+zatYu6ujo+/vhjAgICAPWsRnh4eFBUVISFhQXt27entLSU/Px8cnNzcXFxYfLkySrvw59Zv3497733Hl27dmXbtm0cPXoUBwcHwsPDlUFHc5BIJBgbG9OtWzd8fHyora3lyJEjfPXVVyxevFilu4L+iImJCTY2Npw8eZLr16/Trl07ZT82b97MtGnTlCv+gvBnWmxwBS0jpXJoaCgAb7/9NufOnaOhoYFr167RvXt3lW1lacrV1ZW8vDwePHjAzp07adu2LRMmTFD7LKviJcjKygpDQ0NcXV05duwYt2/fpqioiJ9//pn58+cr65E19yClpaWFra0tbm5uVFRUsGbNGk6cOEHv3r0ZMmSIMthQx+AokUi4dOkS0dHRfP7551hZWZGVlYWLiwsjRoxQy5kvxXUuX76cjz76iPz8fGXds7lz56ose6XCsmXLeOmll7C1teXnn3/m2rVr3Lt3jw4dOuDo6KiWgXHatGkkJycTHx/PmTNn6NatG2lpacTExGBvb8/cuXNp166dyvvxe+7fv8/Tp08pKiriwoULFBQUsHz5cgB2795Nz549VXauQ/HbWLt2LZMnT+a1117j/v37fPfdd+Tk5BAQEKCWzI1xcXEEBwfj4+OjLFlRXV2Nk5OTcnVZ1Yk0nj59SlxcHBkZGZiZmdGjRw8uXbrEgwcPGDJkCL169aJHjx6t4vyE4hlZUVGBp6cnDQ0NyvH10KFDTJw4EVdXV+VMfXM5ePAg2trazJkzB39/f0JCQrC2tiY1NRVdXV28vb0ZNGhQs7X3exTf77Nnz5BKpfj4+NCvXz8ePHjAqFGjVJ4UqylDQ0P09fW5ceMGHh4edO/eHW1tbRobG5k/f75as93+VnFxsbJcg0wm4/Tp06xevZpRo0aRnp5OQ0NDs6+qaWlpYWFhgZubG4aGhtjZ2TFu3LhmbeM/oQjAc3NzOXz4MAUFBcTExKCrq6vS1VXhxdLigquWkFI5Pz+f+/fvk5qaSocOHbC0tOTkyZP85S9/wcTEhIaGBiZOnKjSPijo6enh7u5OQEAAkyZNok+fPhrbviKRSDh69ChXrlzhvffeY+rUqaSmprJnzx7mzp2rrNmi6hcVHR0dOnbsyPDhwxk0aJDKi48qNN0rn5aWhqurK35+flhaWpKTk0NMTIzaCj6WlZVx8+ZNCgoKGDZsGDKZjPXr17Nnzx4CAgJUGtwcOHAAiUTC5MmTKS8vJyYmhunTp1NaWsqhQ4ewsLBQ+ZbEmpoacnNzSUtLY/ny5XTo0IEtW7bw0ksvUV5ezujRo1UeYP4ZGxsbbG1tKS0t5fbt25iYmODn58fZs2epr69XWcFghYyMDFatWoWvry+urq707NlTeW5A1aUbFM+Abdu2sWLFClxdXXnjjTeUhTcVqwSqpBhHNm3axMOHDyktLeXu3bt06dKFwYMH4+fnh76+PlKptFUEVk3P4G3cuJGcnBy8vb0xMzPj7NmzlJSUKM8cNWdgVVRUxJIlS5RJCz7//HOSkpKoq6vj2bNn2NraMnXqVLUFN4rv+vr16/zjH//A1NSUwMBAla+gwi/PrMbGRqRSKfb29rRt25bExET8/f1xcXHBzs5O7fWcfqtNmzaUlJRw6dIlqqurmTFjBr6+vhQUFPDtt9/yxhtvoKenp5K2dXV1cXR0xM/PT6Pb7hSTC927d2fAgAHExsZy/fp1VqxYofEkI8LzQ9LY2Nio6U78npCQEAoKChg8eDCurq6cPXuWyMhIVq9erfL6E1OmTCEgIIDMzEwmTpxIdXU1dXV1WFpasnbtWtauXavWpAktRUNDAytXruTWrVssX76cnj17Ar+k81X1d9ISLFu2jJMnTzJmzBgaGxu5desWCxcuZOTIkbz22mtMmzZN5cFVYmIiERER1NfX89Zbb3H9+nVSUlJwcXHB2tqas2fPsmrVKpW1X1RUxOjRowkLC6NDhw6sW7cOXV1d3n33XUpKSsjMzMTb21ttGRvXrl2Lm5sb2traxMXFsXz5chobG2loaNBYiYKmL2pPnz4lPT0dmUzGgwcPuHDhAgcOHFB58Um5XE54eDhHjhzBwcFB5eff/khSUhIrVqygqqqK7du34+LigkQiUcskzOPHj1m0aBEhISHMnTuXSZMm8fDhQ4YNG4aNjY1K225pFJ/33r17uXHjBhYWFpiammJpaUmvXr1wdnZGR0eH+vr6Zr1vEhMT2bRpE35+ftja2nLu3Dn27t2r/Ls6gprfqqysZPPmzXTq1IlXX30VHR0dlfejsLCQRYsWYW1tjbe3N56enlRVVVFQUEBdXR2TJk1SWdv/qerqampqajA2Nqa4uBiZTKbcJTJr1ixNd08lfvu7r6urQyKRKIP+1vKOIzSfFrdyBZpNqdy07kJdXR1hYWFcuXKFw4cPk5qaypQpU1S+haGlaVorxtLSEltbWy5fvkx8fDxWVlbY2NhoZJBUt6Z75S0tLSkpKSEiIgKZTEaPHj3UMkAuXryYgQMH4ufnh7OzM2ZmZtTW1nL37l2++uorPv74Y5WeRywoKEAmk5GQkEB+fj537txRBnMGBgbY2NioJahRnKGwsLDgwIEDREREsGHDBgwMDJRn7zSl6X2go6OjvEd0dXXp16+fclKiuSm2fSUnJ3Pv3j3KysqYM2cO5eXlrF+/nl69eqn0BSEpKYnc3Fxqamr49ttvcXJywsnJicmTJ3Pp0iXKysqUSRJU9ax4+vQp2dnZxMTE4OrqSklJCRkZGejr6zNmzBg2bNjAq6++qtH6QZogkUjIzs5m8+bNynNmjx49IikpibKyMjp16oSRkVGz3ze/TVpgYGDAoEGDlJ+/JsYMXV1dAgMD8fb2RiqVqiXQv3v3LmfOnKGqqork5GTatWvH3bt3OXbsGD/88AOdOnVSWUmX/5SOjg4GBgY0NjYSGRlJUlISXl5eGju/qg6K73/Tpk107doVQ0ND5bl/LS0tlSYeEl5MLTK40lRK5d+ruyCVStmzZw91dXUMGzaM8ePHv/BBRFOKgefx48eEhYVx9+5dpFIpgYGB5OTk8PPPP+Pl5dUqPpOme+U9PT3x8vJCW1sbPT093nrrLZXvld+/fz96enrMmTMHa2tr5QpAeHg4fn5+TJo0SeWpa01NTRk9ejSNjY0cPnyY6upqhgwZovYCvYrBUBHopqen4+rqqtHDxnK5nFu3bmFnZ0dsbCz29vbKVL6GhoY4OzurbNuPYttXRUUF77//Pm5ubvzzn/+koqKCiRMnMnLkSJVuB6yrqyMkJITU1FQaGhrIy8vj8uXLVFdXo6OjQ2JiIh9++CE6OjoqLZz76aefkpiYyE8//URZWRk//fQTBw8eZNiwYYSFhdG3b1969uz5q/pXrcWTJ0/46aefGDZsGKamplhZWREREYFcLkcikaik2PhvkxY8ffqUEydOkJ2djY+PT4sYN9TRB2tra4KDg+nQoQMSiYTKykpmz57NK6+8wsCBAzVWLkJBJpOhra39qyBCS0sLNzc3+vXrp9Et1upQX18PwNGjR9m6dStVVVX4+/sjlUpbxG9UeP60iOCqpaRU/r26C1u3bgV+qbugSKjQmii+l9WrV2NhYUFRURHZ2dk4OjoyePBgfH19kUqlL/TK1e/tlU9ISMDf3x9nZ2fs7OzUsuXqt3XPnj17hoGBATKZjIqKCkaMGKHyPsAvZzI6d+7MsGHDkMvlfPnll6SlpdG3b1+NvLDa2NgozwMOGjRIYwfC6+vriYyM5PXXX+f27dtMnz5dOTOu6ntD8f/funUrPj4+uLu7k5GRwZgxY0hMTFR5EgupVIqHhwc6OjrExsZiZGRE165diYyMJCwsjJEjR+Lt7a3SVYLk5GRiYmJYtWoVHh4eyvpWt2/fVhYvHj58OECrCayaPpdNTEy4ePGisjj94cOHmTJlCo6Ojty8eVOlOzIUq8weHh4YGhry7NkzlWWWbYkkEglGRkY4OjpiZWVFXl4eJ0+epLq6+lfnhjUhKyuLL774gqKiIvT19TExMfnVGTh1rOxpStNdOVpaWgwbNoz+/fvzj3/8g02bNhEQEKCxUh7C861FBFctJaXyn9Vd+PHHH3n33XdV3oeWKC0tjaioKD755BO++eYb5s6dy/nz53F1dVVuQXtRA6vCwkLmz5/PrVu3ePLkCfBLxil9fX0KCgoYMmSIyhMEKPxR3bPjx4/j4OCg9rpn+vr6+Pn54e3tzdOnT/H29lZr+005OTkhl8s1OsMqlUrp0aMHFRUVVFRUcPToUVxcXCgtLaW8vFxlW/IqKyu5ceMG7dq1o6amBj09PY4ePar83T58+FAtRa319PRwcHAgJCSE6upqdHV1sbKyIigoSJn9S5XPiYULFzJixAi8vb2RyWTKDLOdOnVCKpUyYcIElWUzbakU13np0iVkMhlTpkzB1dWVK1eu0K1bN3r27Mn69et5/fXX1ZIoSUdHB0dHR9zc3FrNd9CUVCqlffv2eHh4YGRkRHV1tcaDTEXR9wMHDhAZGak8b2VsbIyWltYLG1jBv+6PsLAwQkNDcXJywsHBgZdffpno6GgCAwPVUvZHePGoL//on5g3b55yO5NiOTY5OZndu3cTGBjI4sWL1dIPiUSCra0tkyZNwsfHh6ioKBYvXsy1a9fYtGmTWvrQEtnb22NlZcXHH3/MkCFDMDc35+7duxotdKguDx8+5MmTJ1RXV3Pv3j2ePXvGkydPlFtVTU1N1ZYhcMyYMeTn5xMeHo6rqyudO3cmMzOTn3/+WaO1UVxdXTWe5UpXV1ejh8IVs7s///wz48aN4/333+fcuXN88sknyOVyVq5cqZL7pbi4mA8//FCZAv/Jkyfs2bMHGxsbCgoKOH/+PN98882v+tjcTp8+Tb9+/TAzMyM6OhpDQ0M2bdpEamoq4eHhypdHVQY1xcXFtG/fnsTERAwMDAgLC2Pjxo3o6OgoEweoK6toS6H4vvfv38+FCxfw8PAgLCyMsWPHsnTpUuXqybBhw1Res/G3XuQX9v+NNm3aEBQURENDg0b7oUjkkJubi1QqZfbs2dy+fZstW7YQGBjI0KFDMTY21mgfVaXp86hTp04UFhayfft2vL29KSoqws/Pj65du2q4l8LzSuPZAmtqati6dSsymYzNmzeTnp7OihUrePnll7l16xazZs1i4MCBGulbVVUVt27d4t69e8ydO1cjfdAUxUP37Nmz2NjY8PDhQzZs2EBgYCA1NTUMHTqUYcOGNXt2qZamsbGRvLw84uPjkclkSKVS5s6di7a2No8fP1b5GaffKi8v59y5c+Tl5XHp0iWCg4Pp378/vr6+au2H8C+Kl9i8vDzeeecd3N3dadeuHVOmTKFDhw48evRIZanxFdt158yZQ1ZWFgsXLqSuro6cnBw2b96Mubk5vr6+KgusiouL2bp1KzU1NQwcOJBTp07x3nvv0blz52Zv698pLS0lLi6OsLAw7t27x759+7C2tmb+/Pl8/PHH2NnZvdBbnH5PTU0NH3/8Me+//z5WVlbKSUtbW1s++OAD6uvrNZ4ARtC8zZs3KyeWAdatW8f9+/fZtWuXWmuAacKdO3coLCykuLgYW1tbLly4QHZ2NuvXrxcZAoX/M40HVwotMaWyQmvaRgL/ut6qqiqCgoIYPHgwq1evRi6XExYWRv/+/bGystJ0N9VKLpdz//59oqKiyMjIwN/fn6lTp2rsd6E4c6XJgpPCry1duhRvb28aGxuJiIhQJrF4++23VfIMS0lJYfXq1Rw8eBCAd955h+HDh9O9e3dWrFjBypUr1fJyUFJSQlxcHGfOnOHevXvs3LlTI2nf4ZdAt6CggKioKNLS0oiNjWXs2LEsXLiwVT3Hq6uradOmDRERERw/fpzg4GCGDBmChYUFz549o6amRtTsEZQuXrzIli1beOeddxg8eDAfffQRffr0UXlNUU1R3B+xsbFs3bqVoKAgsrKysLa2ZtGiRcq/C8L/lcbPXLXklMoKrWVAbkoikbBz505sbGzQ0dHB29sbQ0NDrl27Ro8ePVpdKuOWtldeIpFofNJB+JfCwkKuXLnC22+/TUhICDNmzCApKQk/Pz+V1cTLy8ujsbERf39/4JfMiQMGDKBt27YcOXKEHj16qOW8gIGBAU5OTvj6+mJiYkJkZCSxsbH4+Pigr6+v8vabUiQO6NatG1ZWVmhra/Pmm28q75XW8Cy/ePEihYWF2NvbU19fj56eHg8fPiQvL4+KigpsbW3Vnt1TaFmaTjTI5XLatWuHp6cnR44c4fjx4+jp6TF//nwN91I1cnJyWLFiBebm5kRERDBr1izGjRuHq6srCQkJdOnSBVNTU013U3jOaXy9VzHode3alb/97W/s3LmTrKwssRyrAU0z5+Tm5nL9+nVCQkL44osvlPvzS0pKMDQ01HRXNaal7JUXWhZzc3P69OnDyZMn6dSpE56enhQVFTFmzBiVtWlhYcGZM2fw8PAgMDCQHj16AL8UYLe1taVLly4qa/u3tLS0sLa25pVXXsHb25sbN25odGVER0cHDw8PunXrprZaRi2BXC6nY8eOREdHc+vWLWpra5k8eTIuLi7cuHGD+Ph4jaf9FjRPMdbv2rWLiooKLl26xKBBg1i9ejV1dXUv7DmrhoYGbG1t8fX15euvv6a8vJyhQ4cC4OjoSGpqKtnZ2VhaWmq4p8LzTuMrV021lJTKrVV1dbWyRo2trS29evXCxMQELS0ttmzZQlFRER9//DG6urqtaovN72nN1y78QrHqXlJSwqNHj/D09MTExIRVq1bx/fffM3nyZJWWbjA2NsbKygqZTEZBQQEVFRWUlZWxb98+lixZgomJiVrSwDcllUrp0KGDsgacutv/LUVA1Vru11WrVpGamoqx5bFCAAALM0lEQVS1tTXTp08nPDyciIgIXF1d6dWrF56enpiamrb653drpqiJl5+fz/79+9m4cSOJiYmYmZlRUlKCh4eH2lec1eXx48cYGxvj4uLCyy+/zJMnT4iMjKS2tpbY2FiMjY01mhxKeHFofOXqt4YPH45cLhf7XTVgy5Yt3L59m4EDByq3/zU2NlJXV0diYiLLli2jbdu2rWYWWBD+iKLuWU1NjTKQycjIYOnSpRw8eJDCwkK8vLxU3g9FivX09HRCQkIICAhg5syZGk/eoDgEL54T6pOUlEReXh5ffvklUqmUzZs3U1dXx40bN8jMzGTkyJEsWbIEaD3BpvA/KcoRpKen4+7uTmRkJAYGBsyfP59Zs2YxZMiQFza4evPNN5VlAMrLy+nTpw81NTWsWbMGiUTCqVOnNN1F4QXRYhJaCJrV2NjI2bNn2bFjB0uXLsXFxYU5c+bg6+tLfn4+JiYmrFu3TtPdFIQW5csvv8TExIRRo0bx1ltvMXDgQFxdXQkKClJrP549e/Y/snqJ1YnW5csvv8TV1ZWXXnqJvXv3EhoaytGjR7l27RplZWUEBwfTvn17MTnWimVmZmJqaoqxsTElJSVs376dO3fuMH/+fFJSUtDS0mLBggWa7qZK/FlmaplMhr+/P7Nnz9Z0N4UXRIvaFihojkQioUuXLkilUu7du4ednR13795lw4YNjBo1in79+qGjo6PcCiUIrZUiaGloaODGjRsYGhpy6NAhVq5cSW5uLvfv36d3795q7ZPinmwaUInAqnUpLy9n165dnD9/nsrKShYtWoSDgwM3b97kzp07yvN/4nfReuXm5rJ06VK+/fZbfHx8CAwMJDMzk7q6OoqKivjggw9e2N+HtrY2/fr14/79+8jlcurr69HR0eH9999n1KhR+Pj4vLDXLqifWLkSgH/V6ikrK2Pr1q1cvnyZDz/8kKFDh4qZTkH4HTdv3sTY2JgtW7ZQWFjIggUL2L17N9u2baN9+/aa7p7QytTX1xMXF0dOTg5BQUEYGRnx7NkzZs2axcaNG7G3txfP8lYsMzMTZ2dnQkNDOXjwIEZGRrz66quMGDGC5ORkPDw8NN1FlVLU5ExLS2Pr1q1kZmZy5MgRzMzMxCq/0OzEypUA/Gs2U19fn65du5Keno6JiQne3t7ioSMI/58iQUN8fDwbN27kzTffpF27dpiYmFBQUMDgwYM1mqJfaL20tLSwtbXFzc2NiooK1qxZw4kTJ+jduzeDBw8WgVUr9ujRI2JjY/Hy8qKiooJXXnkFf39/QkJC2LFjh/LZ9SJT/PYtLCywtLQkPT0dV1dXOnbsKN5xhGYnVq6EX1HM4Ny9e5dVq1bx6aefaqwgqCC0VMuWLUMul7Nw4UKsra3FzKfQotTW1pKeno6ZmZkyC6/4jbZucrmc27dvc/jwYQIDA/H398fU1JSkpCQ6duyIg4ODpruoVmFhYURERLBp0yaRQE1odmLlSvgVxeDbvn17pFIpPXv2FMVqBQGorKzk4sWLuLq6IpfLefz4MSkpKTQ2NqKvr6/Ruk6C0JS2tjaWlpYYGxuLM3itnOKctEQiwd7eHgcHBy5dusSdO3eQy+X0798fc3NzTXdT7ZycnJDL5XTv3l3TXRFeQCK4Ev5Q165dkUqlYsZTaPWioqLYsWMHRUVFBAUFUVJSQnBwMFVVVZw5c0a5nVYQBKElUWyH27lzJzt27KBt27YsWLAAuVzOpUuXGDBgQKusKSqVSnF3d9d0N4QXlNgWKAiC8G/MmTOH1157jYCAAEJDQ9m4cSPdu3fnr3/9KzY2NrRp06ZVzv4KgtByKZI4XL9+nb179zJv3jzWr1+PtrY27733Hj4+PuIcniCogLirBEEQ/sT+/fuxtLQkICCAyspKTp48SXh4OEOHDuXUqVPY2dmJwEoQhBZFUegc4MSJE0yYMIGePXsSGhrK2LFj2bBhgwisBEFFxJ0lCILwJ/T19QkODgbAwMCABQsWYG5uTvfu3cnPz0cul2u4h4IgCL8WExPDvXv3KCgowNTUlL179xISEkJDQwNTpkzhyJEjmu6iILywRHAlCILwJ0xMTNixYwdZWVlIpVJlgeC9e/cydOhQdHV1NdxDQRCEf8nPz+fixYucO3eOhIQExo4dy8KFC8nKymLhwoUkJSVpuouC8EITZ64EQRD+jf3791NZWYmLiwu2trZkZ2dz+vRpvvrqK013TRAE4X94/PgxP/zwA9nZ2VhaWuLr64uFhQXR0dEEBwdjZWWl6S4KwgtLBFeCIAj/RkVFBeHh4eTm5hIdHc3EiRPx8/PDzc1N010TBEH4Q8nJyVy+fJmMjAyWL1+OmZmZyP4rCComgitBEIT/pcbGRhoaGkTtN0EQWpzKykqio6MZOXLk//jbypUr8fb2ZvTo0RromSC0LuLMlSAIwv+SRCIRgZUgCC1SVlYWkZGRfPrpp8THx//qb+Xl5dTW1mqoZ4LQuoiVK0EQBEEQhOdcQ0MDubm5xMTEcPv2bezt7Rk7diwPHjzgu+++45tvvtF0FwWhVRDBlSAIgiAIwguirq6OjIwMfvjhB06cOIG/vz9jxoyhV69emu6aILQKIrgSBEEQBEF4AdXU1AC/1OsTBEE9RHAlCIIgCIIgCILQDERCC0EQBEEQBEEQhGYggitBEARBEARBEIRmIIIrQRAEQRAEQRCEZiCCK0EQBEEQBEEQhGagrekOCIIgCML/Vk5ODsOGDcPZ2Rn4pbZPVVUV48aN4+2339Zw7wRBEITWTgRXgiAIwnOlQ4cOhIWFKf+5oKCAl156iZEjRyqDLkEQBEHQBBFcCYIgCM+1wsJCGhsbMTQ0ZOnSpWRkZFBUVESXLl3YtGkT+vr67N+/n8OHDyOVSgkKCuL999+nqKiIZcuWkZ+fj0QiYfHixfTp04fr16+zYcMGAExMTPjiiy8wMzPT8FUKgiAIzwMRXAmCIAjPlSdPnjB27Fhqa2spLS3F09OTL7/8kkePHqGjo0NISAgNDQ3MnDmT6OhorK2tOXToEMePH8fAwIDZs2eTnJzMN998w8SJEwkODubJkydMnTqVU6dOsXPnTj799FO8vLzYs2cPqamp9OvXT9OXLQiCIDwHRHAlCIIgPFcU2wIbGhpYu3YtmZmZ9O3bFy0tLdq1a8fBgwfJysriwYMHVFdXExcXR1BQEEZGRgDs378fgGvXrpGVlcW2bdsAePbsGY8ePSI4OJj58+czePBggoOD6du3r6YuVRAEQXjOiOBKEARBeC5paWnxwQcfMG7cOL755hucnJzYtm0bM2bMYMKECZSWltLY2Ii2tjYSiUT53xUUFGBgYEBDQwPffvst7dq1A35ZETM3N6dbt24EBQVx+fJlNmzYQFJSEm+88YamLlMQBEF4johU7IIgCMJzS1tbmw8++ICdO3fyww8/MHz4cCZOnIixsTE3b96kvr6eHj16EB0dTVVVFc+ePWPx4sUkJyfTq1cvDh06BMD9+/cZPXo0T58+ZdKkSVRVVTFr1ixmzZpFamqqhq9SEARBeF6IlStBEAThuTZgwAB8fHx48OABMpmM77//Hh0dHXx9fcnJyWHSpElMnz6dKVOm0NDQwJAhQ+jTpw/Ozs4sW7aM0aNHA7B+/Xratm3LokWLWLJkCdra2rRp04aVK1dq+AoFQRCE54WksbGxUdOdEARBEARBEARBeN6JbYGCIAiCIAiCIAjNQARXgiAIgiAIgiAIzUAEV4IgCIIgCIIgCM1ABFeCIAiCIAiCIAjNQARXgiAIgiAIgiAIzUAEV4IgCIIgCIIgCM1ABFeCIAiCIAiCIAjN4P8Brzl5mH55q5AAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1044x540 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "race_results = f1_2019results[['Track', 'Position', 'Driver']]\n",
    "race_results.replace('NC', '20', inplace=True, method='none')\n",
    "race_results.replace('DQ', '20', inplace=True, method='none')\n",
    "race_results = race_results.astype({'Position':'int32'}, errors='ignore')\n",
    "drivers = f1_2019drivers['Driver'].unique()[:10]\n",
    "colors = ['#00d2b0', '#00b2b0', '#0600f0', '#ff0000', '#d00000', '#ff8800', '#00aaff', '#0600b0', '#ffff33', '#f396c5']\n",
    "plt.figure(figsize=(14.5,7.5))\n",
    "plt.axis((-0.2,24,20.3,0.7))\n",
    "for i in range(len(drivers)):   \n",
    "    positions = race_results[race_results['Driver'] == drivers[i]]['Position'].values\n",
    "    plt.plot(positions, color=colors[i], label=drivers[i], marker='o', linewidth=0.7, linestyle='-.')\n",
    "plt.title('F1 2019 Season - Race Finish Positions for Top 10 Drivers')\n",
    "plt.xlabel('Races')\n",
    "plt.ylabel('Positions')\n",
    "plt.xticks(np.arange(21), races, rotation=60)\n",
    "plt.yticks(np.arange(1,21))\n",
    "plt.legend(loc='upper right')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Lastly, I'd like to see **total laps completed** for all drivers this season. Do you remember the related number for total laps? Here it is:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total Number of Laps in 2019 Season: 1266\n"
     ]
    }
   ],
   "source": [
    "print(\"Total Number of Laps in 2019 Season:\", f1_2019tracks['Number of Laps'].sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "laps = f1_2019results.groupby('Driver')['Laps'].sum().sort_values(ascending=False)\n",
    "laps = laps.reset_index()\n",
    "colors = ['#00d2b0', '#0600f0', '#00aaff', '#00d2b0', '#990000', '#990000', '#f396c5', '#00aaff', '#777777', '#ffff33',\n",
    "          '#66eeff', '#0600f0', '#66eeff', '#ff0000', '#f396c5', '#ff0000', '#ff8800', '#ffff33', '#ff8800', '#777777']\n",
    "plt.figure(figsize=(14,4))\n",
    "plt.axis((-1,20,900,1300))\n",
    "plt.bar(laps['Driver'], laps['Laps'], color=colors)\n",
    "for i in range(20):\n",
    "    plt.text(-0.3+i, 10+laps.loc[i,'Laps'], laps.loc[i,'Laps'])\n",
    "plt.title('F1 2019 Season - Total Laps Completed')\n",
    "plt.xlabel('Drivers')\n",
    "plt.ylabel('Laps')\n",
    "plt.xticks(rotation=80)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "By inspecting this good-looking bar graph, **Lewis Hamilton**, who was never out of the race, has driven most of the laps in 2019. The number, **1262** is just 4 laps away from the maximum laps possible this season. Well, I don't remember that he finished any race with lap down. Maybe because, one or two races were organized with **lesser laps** than it normally would be. For this reason, I do remember that _German Grand Prix_ had been completed with **3 less laps**.\n",
    "\n",
    "This bar graph also shows us that **Romain Grosjean** is the driver who completed the least laps, **1043**. Remind that he had **7 DNFs** this season, which could be unlucky for him."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### **All right, everyone. That concludes Formula 1 - 2019 Season Analysis.**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**I hope you learned many things for Formula 1 in general, drivers and teams this season, if you've come to the bottom end without getting bored.**\n",
    "\n",
    "**For myself, it's a great opportunity to use my data analysis skills on a real-life dataset, involving one of the most popular motorsport series and present all sensible outcomes with you by text and data visualization. I quite enjoyed the works I've done here while preparing these analyses!**\n",
    "\n",
    "Certainly, we're looking forward to watching F1's 2020 season with some questions in our mind:\n",
    "\n",
    "- Which drivers and teams will make a **shocking surprise**?\n",
    "- Will Hamilton and Mercedes **defend their titles** one more year?\n",
    "- Will Ferrari or any other team be able to **stop Mercedes' dominance** at last?\n",
    "- More importantly, will **Hamilton** be able to break the records held by the legend **Michael Schumacher**?\n",
    "- And, in the worst scenario, will **Coronavirus (Covid-19)** outbreak deliver a significant blow to F1 races, causing them to be postponed or cancelled? (according to the previous news so far, Chinese Grand Prix had been postponed)\n",
    "\n",
    "**UPDATE:** As Coronavirus has become a **pandemic** outbreak, announced by World Health Organization, more races have been affected, unfortunately. That is, Australian GP has been **cancelled** several hours left before the 1st practice session; plus, **McLaren** was right to withdraw from the race because one team member was affected by the virus! Then, Bahrain and Vietnam Grands Prix have been **postponed**. FIA and Formula 1 authorities said that the new season is expected to start **at the end of May.**",  
    "\n",
    "\n",
    "**UPDATE 2:** The Coronavirus outbreak continues **exponentially**, unfortunately. Recently, F1 authorities have decided to postpone more races: These are Netherlands, Spain and Azerbaijan Grands Prix. Plus, Monaco GP will not be organized this year!",
    "\n",
    "\n",
    "**UPDATE 3:** Nowadays, F1 official sources state that 2020 Season is planned to start in July, where the first race will be held in **Austria**. On the other hand, the previous race in the calendar, **French Grand Prix** has been called off! Furthermore, about **British** and **Hungarian GP**, they will be organized as usual but without spectators in the grandstands! While we are still waiting for the season start, many F1 drivers have attended to **Virtual GPs** with some famous people from other sport disciplines. If you've ever come across such an event, you could be glad that the competition is as if it was in real life! Well, we should thank **Codemasters** for making F1 Official Videogames, right?",
    "\n",
    "\n",
    "**UPDATE 4:** The latest news stated that there won't be F1 races in **Azerbaijan**, **Singapore** and **Japan** this year! Well, we only know that the official calendar for 2020 season will be organized in Europe continent first (total of 8 races have been announced), then it will continue to other locations where, in my opinion, Coronavirus did not get worse. Anyway, all teams are now preparing themselves for the start of the new season and looking forward to racing in tracks to show the actions we missed!",
    "\n",
    "\n",
    "**When the new season starts, that's the statement we want to say:**\n",
    "\n",
    "## It's light out, and away we go for F1 2020 Season!"
   ]
  }
 ],
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