{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "51ca47b0",
   "metadata": {},
   "source": [
    "# FORMULA 1 - 2022 SEASON ANALYSIS\n",
    "\n",
    "## Created by Doğan Yiğit Yenigün (a.k.a. toUpperCase78)"
   ]
  },
  {
   "attachments": {
    "F1_new_logo.png": {
     "image/png": "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"
    }
   },
   "cell_type": "markdown",
   "id": "128043c4",
   "metadata": {},
   "source": [
    "![F1_new_logo.png](attachment:F1_new_logo.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dc043e2d",
   "metadata": {},
   "source": [
    "# Welcome to the Data Analysis of Formula 1 2022 Season!"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7a0faabe",
   "metadata": {},
   "source": [
    "New season, new cars; drivers are hunger for passion and glory, teams are waiting for showing their speed machines on the tracks, and we the fans are eager to watch the exciting scenes wherever possible... We're all welcome to the **73rd season** of Formula 1 history!\n",
    "\n",
    "This season is the start of **the new era of F1 cars**: Designed specifically to allow closer racing, that is, to decrease the difference between the fastest and the slowest car on the grid. Then, reduction of 'dirty air' caused by the car in front to minimize the downforce loss for the car behind while racing so close. The addition of over-wheel winglets and wheel covers. Much bigger tyres (from 13-inch to 18-inch). The return of ground effects that was last used in the late 1970s. Rear wings now featuring 'rolled tips'. More sustainable fuel... But, what things these cars kept the same as previous season are **1.6-litre turbo-hybrid engine** and, of course, for drivers' safety, **the continuation of halo design** attached above the cabin as well as the capability of absorbing more energy against impacts.\n",
    "\n",
    "On the other hand, these innovations caused a negative effect on these cars, called **porpoising**. In basic definition, this is the situation of bouncing up and down continuously while going fast on the straights, while this could be a big pain for drivers and the teams have not predicted that effect before during the initial development! One thing for sure is that any team which overcame the annoying porpoising issue will take the advantage for the championship with regards to aerodynamics.\n",
    "\n",
    "Nonetheless, the 2022 Season is **a scintillating one**, in the way that lots of head-to-head battles have been witnessed by the spectators during the races, many laps have been completed for becoming the fastest to capture the pole positions and several mind-blowing, shocking or mesmerizing events occurred on and off the tracks! More importantly, one driver and one team was the happiest to take the crown at the end, and to tell the world their supremacy against opponents! That's why, these data analyses are here for gaining insights for what happened essentially from all angles possible."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9463b8d0",
   "metadata": {},
   "source": [
    "**If you're ready to take a tour for what happened in 2022 Season of Formula 1, then let's put the five red lights out and away we go for the data analysis!**"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9aeecea5",
   "metadata": {},
   "source": [
    "As always, we start by importing the necessary libraries and reading all the corresponding carefully-crafted datasets below. In addition, there is a helper function that assigns the colors to drivers and teams appropriately, especially useful for data visualizations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "6be9fe55",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.font_manager as font_manager\n",
    "import seaborn as sns\n",
    "import math\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "from datetime import timedelta\n",
    "%matplotlib inline\n",
    "font_manager.fontManager.addfont('C:\\\\Users\\\\Doğan Yiğit Yenigün\\\\AppData\\\\Local\\\\Microsoft\\\\Windows\\\\Fonts\\\\Formula1-Regular_web.ttf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "54913db8",
   "metadata": {},
   "outputs": [],
   "source": [
    "season2022RaceCalendar = pd.read_csv('Formula1_2022season_calendar.csv')\n",
    "season2022RaceCalendar.set_index('Round', inplace=True)\n",
    "season2022Drivers = pd.read_csv('Formula1_2022season_drivers.csv')\n",
    "season2022Drivers.set_index('Abbreviation', inplace=True)\n",
    "season2022Teams = pd.read_csv('Formula1_2022season_teams.csv')\n",
    "season2022Teams.index = range(1,11)\n",
    "season2022QualifyingResults = pd.read_csv('Formula1_2022season_qualifyingResults.csv')\n",
    "season2022SprintRaceResults = pd.read_csv('Formula1_2022season_sprintRaceResults.csv')\n",
    "season2022RaceResults = pd.read_csv('formula1_2022season_raceResults.csv')\n",
    "season2022DotdVotes = pd.read_csv('formula1_2022season_driverOfTheDayVotes.csv')\n",
    "season2022DotdVotes.set_index('Track', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "7bba0008",
   "metadata": {},
   "outputs": [],
   "source": [
    "def assign_color(val_type, values):\n",
    "    cl = []\n",
    "    for val in values:\n",
    "        if val_type == 'drivers':  abbr = val.split()[1].upper()[0:3]\n",
    "        elif val_type == 'teams':  abbr = val[0:4].upper()\n",
    "        if abbr in ['ALFA','BOT','ZHO']:           cl.append('#900000')\n",
    "        elif abbr in ['HAAS','SCH','MAG']:         cl.append('#ffffff')\n",
    "        elif abbr in ['ASTO','VET','STR','HUL']:   cl.append('#006f62')\n",
    "        elif abbr in ['WILL','ALB','LAT','DE']:    cl.append('#0072ff')\n",
    "        elif abbr in ['ALPH','GAS','TSU']:         cl.append('#2b5962')\n",
    "        elif abbr in ['MCLA','RIC','NOR']:         cl.append('#ff8700')\n",
    "        elif abbr in ['RED ','VER','PER']:         cl.append('#0600f0')\n",
    "        elif abbr in ['FERR','LEC','SAI']:         cl.append('#cb0000')\n",
    "        elif abbr in ['MERC','HAM','RUS']:         cl.append('#00d2bd')\n",
    "        elif abbr in ['ALPI','ALO','OCO']:         cl.append('#0090ff')\n",
    "    return cl"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "81065625",
   "metadata": {},
   "source": [
    "## 2022 Season - Race Calendar\n",
    "\n",
    "2022 Season race calendar was comprised of **22 races**, across **4 continents** and **20 countries**..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "5bc2789d",
   "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>Race Date</th>\n",
       "      <th>GP Name</th>\n",
       "      <th>Country</th>\n",
       "      <th>City</th>\n",
       "      <th>Circuit Name</th>\n",
       "      <th>First GP</th>\n",
       "      <th>Number of Laps</th>\n",
       "      <th>Circuit Length(km)</th>\n",
       "      <th>Race Distance(km)</th>\n",
       "      <th>Lap Record</th>\n",
       "      <th>Record Owner</th>\n",
       "      <th>Record Year</th>\n",
       "      <th>Turns</th>\n",
       "      <th>DRS Zones</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Round</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>20/03/2022</td>\n",
       "      <td>Gulf Air Bahrain GP</td>\n",
       "      <td>Bahrain</td>\n",
       "      <td>Sakhir</td>\n",
       "      <td>Bahrain International Circuit</td>\n",
       "      <td>2004</td>\n",
       "      <td>57</td>\n",
       "      <td>5.412</td>\n",
       "      <td>308.238</td>\n",
       "      <td>1:31.447</td>\n",
       "      <td>Pedro de la Rosa</td>\n",
       "      <td>2005</td>\n",
       "      <td>15</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>27/03/2022</td>\n",
       "      <td>STC Saudi Arabian GP</td>\n",
       "      <td>Saudi Arabia</td>\n",
       "      <td>Jeddah</td>\n",
       "      <td>Jeddah Corniche Circuit</td>\n",
       "      <td>2021</td>\n",
       "      <td>50</td>\n",
       "      <td>6.174</td>\n",
       "      <td>308.450</td>\n",
       "      <td>1:30.774</td>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>2021</td>\n",
       "      <td>27</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10/04/2022</td>\n",
       "      <td>Heineken Australian GP</td>\n",
       "      <td>Australia</td>\n",
       "      <td>Melbourne</td>\n",
       "      <td>Albert Park Circuit</td>\n",
       "      <td>1996</td>\n",
       "      <td>58</td>\n",
       "      <td>5.278</td>\n",
       "      <td>306.124</td>\n",
       "      <td>1:20.260</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>2022</td>\n",
       "      <td>14</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24/04/2022</td>\n",
       "      <td>Rolex Gran Premio Del Made in Italy e Dell'Emi...</td>\n",
       "      <td>Italy</td>\n",
       "      <td>Imola</td>\n",
       "      <td>Autodromo Enzo e Dino Ferrari</td>\n",
       "      <td>1980</td>\n",
       "      <td>63</td>\n",
       "      <td>4.909</td>\n",
       "      <td>309.049</td>\n",
       "      <td>1:15.484</td>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>2020</td>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>08/05/2022</td>\n",
       "      <td>Crypto.com Miami GP</td>\n",
       "      <td>United States</td>\n",
       "      <td>Miami</td>\n",
       "      <td>Miami International Autodrome</td>\n",
       "      <td>2022</td>\n",
       "      <td>57</td>\n",
       "      <td>5.412</td>\n",
       "      <td>308.326</td>\n",
       "      <td>1:31.361</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>2022</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>22/05/2022</td>\n",
       "      <td>Pirelli Gran Premio de España</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Catalunya</td>\n",
       "      <td>Circuit de Barcelona-Catalunya</td>\n",
       "      <td>1991</td>\n",
       "      <td>66</td>\n",
       "      <td>4.675</td>\n",
       "      <td>308.424</td>\n",
       "      <td>1:18.149</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>2021</td>\n",
       "      <td>16</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>29/05/2022</td>\n",
       "      <td>Grand Prix de Monaco</td>\n",
       "      <td>Monaco</td>\n",
       "      <td>Monte Carlo</td>\n",
       "      <td>Circuit de Monaco</td>\n",
       "      <td>1950</td>\n",
       "      <td>78</td>\n",
       "      <td>3.337</td>\n",
       "      <td>260.286</td>\n",
       "      <td>1:12.909</td>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>2021</td>\n",
       "      <td>19</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>12/06/2022</td>\n",
       "      <td>Azerbaijan GP</td>\n",
       "      <td>Azerbaijan</td>\n",
       "      <td>Baku</td>\n",
       "      <td>Baku City Circuit</td>\n",
       "      <td>2016</td>\n",
       "      <td>51</td>\n",
       "      <td>6.003</td>\n",
       "      <td>306.049</td>\n",
       "      <td>1:43.009</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>2019</td>\n",
       "      <td>20</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>19/06/2022</td>\n",
       "      <td>AWS Grand Prix du Canada</td>\n",
       "      <td>Canada</td>\n",
       "      <td>Montréal</td>\n",
       "      <td>Circuit Gilles-Villeneuve</td>\n",
       "      <td>1978</td>\n",
       "      <td>70</td>\n",
       "      <td>4.361</td>\n",
       "      <td>305.270</td>\n",
       "      <td>1:13.078</td>\n",
       "      <td>Valtteri Bottas</td>\n",
       "      <td>2019</td>\n",
       "      <td>14</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>03/07/2022</td>\n",
       "      <td>Lenovo British GP</td>\n",
       "      <td>Great Britain</td>\n",
       "      <td>Silverstone</td>\n",
       "      <td>Silverstone Circuit</td>\n",
       "      <td>1950</td>\n",
       "      <td>52</td>\n",
       "      <td>5.891</td>\n",
       "      <td>306.198</td>\n",
       "      <td>1:27.097</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>2020</td>\n",
       "      <td>18</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>10/07/2022</td>\n",
       "      <td>Rolex Grosser Preis von Österreich</td>\n",
       "      <td>Austria</td>\n",
       "      <td>Spielberg</td>\n",
       "      <td>Red Bull Ring</td>\n",
       "      <td>1970</td>\n",
       "      <td>71</td>\n",
       "      <td>4.318</td>\n",
       "      <td>306.452</td>\n",
       "      <td>1:05.619</td>\n",
       "      <td>Carlos Sainz</td>\n",
       "      <td>2020</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>24/07/2022</td>\n",
       "      <td>Lenovo Grand Prix de France</td>\n",
       "      <td>France</td>\n",
       "      <td>Le Castellet</td>\n",
       "      <td>Circuit Paul Ricard</td>\n",
       "      <td>1971</td>\n",
       "      <td>53</td>\n",
       "      <td>5.842</td>\n",
       "      <td>309.690</td>\n",
       "      <td>1:32.740</td>\n",
       "      <td>Sebastian Vettel</td>\n",
       "      <td>2019</td>\n",
       "      <td>15</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>31/07/2022</td>\n",
       "      <td>Aramco Magyar Nagydij</td>\n",
       "      <td>Hungary</td>\n",
       "      <td>Budapest</td>\n",
       "      <td>Hungaroring</td>\n",
       "      <td>1986</td>\n",
       "      <td>70</td>\n",
       "      <td>4.381</td>\n",
       "      <td>306.630</td>\n",
       "      <td>1:16.627</td>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>2020</td>\n",
       "      <td>14</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>28/08/2022</td>\n",
       "      <td>Rolex Belgian GP</td>\n",
       "      <td>Belgium</td>\n",
       "      <td>Spa-Francorchamps</td>\n",
       "      <td>Circuit de Spa-Francorchamps</td>\n",
       "      <td>1950</td>\n",
       "      <td>44</td>\n",
       "      <td>7.004</td>\n",
       "      <td>308.052</td>\n",
       "      <td>1:46.286</td>\n",
       "      <td>Valtter Bottas</td>\n",
       "      <td>2018</td>\n",
       "      <td>19</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>04/09/2022</td>\n",
       "      <td>Heineken Dutch GP</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>Zandvoort</td>\n",
       "      <td>Circuit Zandvoort</td>\n",
       "      <td>1952</td>\n",
       "      <td>72</td>\n",
       "      <td>4.259</td>\n",
       "      <td>306.587</td>\n",
       "      <td>1:11.097</td>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>2021</td>\n",
       "      <td>14</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>11/09/2022</td>\n",
       "      <td>Pirelli Gran Premio D'Italia</td>\n",
       "      <td>Italy</td>\n",
       "      <td>Monza</td>\n",
       "      <td>Autodromo Nazionale Monza</td>\n",
       "      <td>1950</td>\n",
       "      <td>53</td>\n",
       "      <td>5.793</td>\n",
       "      <td>306.720</td>\n",
       "      <td>1:21.046</td>\n",
       "      <td>Rubens Barrichello</td>\n",
       "      <td>2004</td>\n",
       "      <td>11</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>02/10/2022</td>\n",
       "      <td>Singapore Airlines Singapore GP</td>\n",
       "      <td>Singapore</td>\n",
       "      <td>Singapore</td>\n",
       "      <td>Marina Bay Street Circuit</td>\n",
       "      <td>2008</td>\n",
       "      <td>61</td>\n",
       "      <td>5.063</td>\n",
       "      <td>308.706</td>\n",
       "      <td>1:41.905</td>\n",
       "      <td>Kevin Magnussen</td>\n",
       "      <td>2018</td>\n",
       "      <td>23</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>09/10/2022</td>\n",
       "      <td>Honda Japanese GP</td>\n",
       "      <td>Japan</td>\n",
       "      <td>Suzuka</td>\n",
       "      <td>Suzuka International Racing Course</td>\n",
       "      <td>1987</td>\n",
       "      <td>53</td>\n",
       "      <td>5.807</td>\n",
       "      <td>307.471</td>\n",
       "      <td>1:30.983</td>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>2019</td>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>23/10/2022</td>\n",
       "      <td>Aramco United States GP</td>\n",
       "      <td>United States</td>\n",
       "      <td>Austin</td>\n",
       "      <td>Circuit of the Americas</td>\n",
       "      <td>2012</td>\n",
       "      <td>56</td>\n",
       "      <td>5.513</td>\n",
       "      <td>308.405</td>\n",
       "      <td>1:36.169</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>2019</td>\n",
       "      <td>20</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>30/10/2022</td>\n",
       "      <td>Gran Premio de la Ciudad de México</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>Mexico City</td>\n",
       "      <td>Autodromo Hermanos Rodriguez</td>\n",
       "      <td>1963</td>\n",
       "      <td>71</td>\n",
       "      <td>4.304</td>\n",
       "      <td>305.354</td>\n",
       "      <td>1:17.774</td>\n",
       "      <td>Valtteri Bottas</td>\n",
       "      <td>2021</td>\n",
       "      <td>17</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>13/11/2022</td>\n",
       "      <td>Heineken Gran Prêmio de São Paulo</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>São Paulo</td>\n",
       "      <td>Autodromo Jose Carlos Pace</td>\n",
       "      <td>1973</td>\n",
       "      <td>71</td>\n",
       "      <td>4.309</td>\n",
       "      <td>305.879</td>\n",
       "      <td>1:10.540</td>\n",
       "      <td>Valtteri Bottas</td>\n",
       "      <td>2018</td>\n",
       "      <td>15</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>20/11/2022</td>\n",
       "      <td>Etihad Airways Abu Dhabi GP</td>\n",
       "      <td>Abu Dhabi</td>\n",
       "      <td>Yas Island</td>\n",
       "      <td>Yas Marina Circuit</td>\n",
       "      <td>2009</td>\n",
       "      <td>58</td>\n",
       "      <td>5.281</td>\n",
       "      <td>306.183</td>\n",
       "      <td>1:26.103</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>2021</td>\n",
       "      <td>16</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Race Date                                            GP Name  \\\n",
       "Round                                                                  \n",
       "1      20/03/2022                                Gulf Air Bahrain GP   \n",
       "2      27/03/2022                               STC Saudi Arabian GP   \n",
       "3      10/04/2022                             Heineken Australian GP   \n",
       "4      24/04/2022  Rolex Gran Premio Del Made in Italy e Dell'Emi...   \n",
       "5      08/05/2022                                Crypto.com Miami GP   \n",
       "6      22/05/2022                      Pirelli Gran Premio de España   \n",
       "7      29/05/2022                               Grand Prix de Monaco   \n",
       "8      12/06/2022                                      Azerbaijan GP   \n",
       "9      19/06/2022                           AWS Grand Prix du Canada   \n",
       "10     03/07/2022                                  Lenovo British GP   \n",
       "11     10/07/2022                 Rolex Grosser Preis von Österreich   \n",
       "12     24/07/2022                        Lenovo Grand Prix de France   \n",
       "13     31/07/2022                              Aramco Magyar Nagydij   \n",
       "14     28/08/2022                                   Rolex Belgian GP   \n",
       "15     04/09/2022                                  Heineken Dutch GP   \n",
       "16     11/09/2022                       Pirelli Gran Premio D'Italia   \n",
       "17     02/10/2022                    Singapore Airlines Singapore GP   \n",
       "18     09/10/2022                                  Honda Japanese GP   \n",
       "19     23/10/2022                            Aramco United States GP   \n",
       "20     30/10/2022                 Gran Premio de la Ciudad de México   \n",
       "21     13/11/2022                  Heineken Gran Prêmio de São Paulo   \n",
       "22     20/11/2022                        Etihad Airways Abu Dhabi GP   \n",
       "\n",
       "             Country               City                        Circuit Name  \\\n",
       "Round                                                                         \n",
       "1            Bahrain             Sakhir       Bahrain International Circuit   \n",
       "2       Saudi Arabia             Jeddah             Jeddah Corniche Circuit   \n",
       "3          Australia          Melbourne                 Albert Park Circuit   \n",
       "4              Italy              Imola       Autodromo Enzo e Dino Ferrari   \n",
       "5      United States              Miami       Miami International Autodrome   \n",
       "6              Spain          Catalunya      Circuit de Barcelona-Catalunya   \n",
       "7             Monaco        Monte Carlo                   Circuit de Monaco   \n",
       "8         Azerbaijan               Baku                   Baku City Circuit   \n",
       "9             Canada           Montréal           Circuit Gilles-Villeneuve   \n",
       "10     Great Britain        Silverstone                 Silverstone Circuit   \n",
       "11           Austria          Spielberg                       Red Bull Ring   \n",
       "12            France       Le Castellet                 Circuit Paul Ricard   \n",
       "13           Hungary           Budapest                         Hungaroring   \n",
       "14           Belgium  Spa-Francorchamps        Circuit de Spa-Francorchamps   \n",
       "15       Netherlands          Zandvoort                   Circuit Zandvoort   \n",
       "16             Italy              Monza           Autodromo Nazionale Monza   \n",
       "17         Singapore          Singapore           Marina Bay Street Circuit   \n",
       "18             Japan             Suzuka  Suzuka International Racing Course   \n",
       "19     United States             Austin             Circuit of the Americas   \n",
       "20            Mexico        Mexico City        Autodromo Hermanos Rodriguez   \n",
       "21            Brazil          São Paulo          Autodromo Jose Carlos Pace   \n",
       "22         Abu Dhabi         Yas Island                  Yas Marina Circuit   \n",
       "\n",
       "       First GP  Number of Laps  Circuit Length(km)  Race Distance(km)  \\\n",
       "Round                                                                    \n",
       "1          2004              57               5.412            308.238   \n",
       "2          2021              50               6.174            308.450   \n",
       "3          1996              58               5.278            306.124   \n",
       "4          1980              63               4.909            309.049   \n",
       "5          2022              57               5.412            308.326   \n",
       "6          1991              66               4.675            308.424   \n",
       "7          1950              78               3.337            260.286   \n",
       "8          2016              51               6.003            306.049   \n",
       "9          1978              70               4.361            305.270   \n",
       "10         1950              52               5.891            306.198   \n",
       "11         1970              71               4.318            306.452   \n",
       "12         1971              53               5.842            309.690   \n",
       "13         1986              70               4.381            306.630   \n",
       "14         1950              44               7.004            308.052   \n",
       "15         1952              72               4.259            306.587   \n",
       "16         1950              53               5.793            306.720   \n",
       "17         2008              61               5.063            308.706   \n",
       "18         1987              53               5.807            307.471   \n",
       "19         2012              56               5.513            308.405   \n",
       "20         1963              71               4.304            305.354   \n",
       "21         1973              71               4.309            305.879   \n",
       "22         2009              58               5.281            306.183   \n",
       "\n",
       "      Lap Record        Record Owner  Record Year  Turns  DRS Zones  \n",
       "Round                                                                \n",
       "1       1:31.447    Pedro de la Rosa         2005     15          3  \n",
       "2       1:30.774      Lewis Hamilton         2021     27          3  \n",
       "3       1:20.260     Charles Leclerc         2022     14          2  \n",
       "4       1:15.484      Lewis Hamilton         2020     18          1  \n",
       "5       1:31.361      Max Verstappen         2022     19          3  \n",
       "6       1:18.149      Max Verstappen         2021     16          2  \n",
       "7       1:12.909      Lewis Hamilton         2021     19          1  \n",
       "8       1:43.009     Charles Leclerc         2019     20          2  \n",
       "9       1:13.078     Valtteri Bottas         2019     14          3  \n",
       "10      1:27.097      Max Verstappen         2020     18          2  \n",
       "11      1:05.619        Carlos Sainz         2020     10          3  \n",
       "12      1:32.740    Sebastian Vettel         2019     15          2  \n",
       "13      1:16.627      Lewis Hamilton         2020     14          1  \n",
       "14      1:46.286      Valtter Bottas         2018     19          2  \n",
       "15      1:11.097      Lewis Hamilton         2021     14          2  \n",
       "16      1:21.046  Rubens Barrichello         2004     11          2  \n",
       "17      1:41.905     Kevin Magnussen         2018     23          3  \n",
       "18      1:30.983      Lewis Hamilton         2019     18          1  \n",
       "19      1:36.169     Charles Leclerc         2019     20          2  \n",
       "20      1:17.774     Valtteri Bottas         2021     17          3  \n",
       "21      1:10.540     Valtteri Bottas         2018     15          2  \n",
       "22      1:26.103      Max Verstappen         2021     16          2  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "season2022RaceCalendar"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f114c61f",
   "metadata": {},
   "source": [
    "* From the table here, first of all, it is nice to see **Australia**, **Canada**, **Singapore** and **Japan** back in the calendar, after the difficult times of **Covid-19 pandemic** in the previous years.\n",
    "* **China**, however, still did not make it due to the ongoing bad conditions caused by Covid-19 effects and thus, has been ruled out before the season started.\n",
    "* **Jeddah Corniche Circuit** in Saudi Arabia, where the inaugural race was organized in 2021 as the penultimate one, was moved to become **the second race** in the calendar. That means all drivers and teams have raced twice in the same circuit in less than a year!\n",
    "* **Miami International Autodrome** was the newest race track, having made its debut this season. It was another kind of street race circuit, containing the Hard Rock Stadium at is epicentre.\n",
    "* **Catalunya Circuit** in Spain has its turn 10 changed slightly to make the cornering faster.\n",
    "* **Albert Park Circuit** in Australia received a major overhaul for several turns, where the most notable one was for getting rid of the slow corners in the second sector, to increase the average speed and mutually, a few seconds faster lap times."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fc9a1647",
   "metadata": {},
   "source": [
    "## 2022 Season - Teams\n",
    "\n",
    "Similar to previous seasons, total of **10 teams** competed in the grid to be the best constructor in 2022 Season...\n",
    "\n",
    "_(numbers on the right columns reflect the results after the completion of 2022 Season)_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "23061c19",
   "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>Full Team Name</th>\n",
       "      <th>Base</th>\n",
       "      <th>Team Chief</th>\n",
       "      <th>Technical Chief</th>\n",
       "      <th>Chassis</th>\n",
       "      <th>Power Unit</th>\n",
       "      <th>First Team Entry</th>\n",
       "      <th>World Championships</th>\n",
       "      <th>Highest Race Finish</th>\n",
       "      <th>Pole Positions</th>\n",
       "      <th>Fastest Laps</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Red Bull Racing</td>\n",
       "      <td>Oracle Red Bull Racing</td>\n",
       "      <td>Milton Keynes, United Kingdom</td>\n",
       "      <td>Christian Horner</td>\n",
       "      <td>Pierre Waché</td>\n",
       "      <td>RB18</td>\n",
       "      <td>Red Bull Powertrains</td>\n",
       "      <td>1997</td>\n",
       "      <td>5</td>\n",
       "      <td>1(x92)</td>\n",
       "      <td>81</td>\n",
       "      <td>84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Ferrari</td>\n",
       "      <td>Scuderia Ferrari</td>\n",
       "      <td>Maranello, Italy</td>\n",
       "      <td>Mattia Binotto</td>\n",
       "      <td>Enrico Cardile / Enrico Gualtieri</td>\n",
       "      <td>F1-75</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>1950</td>\n",
       "      <td>16</td>\n",
       "      <td>1(x243)</td>\n",
       "      <td>242</td>\n",
       "      <td>258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Mercedes</td>\n",
       "      <td>Mercedes-AMG Petronas F1 Team</td>\n",
       "      <td>Brackley, United Kingdom</td>\n",
       "      <td>Toto Wolff</td>\n",
       "      <td>Mike Elliott</td>\n",
       "      <td>W13</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>1970</td>\n",
       "      <td>8</td>\n",
       "      <td>1(x116)</td>\n",
       "      <td>128</td>\n",
       "      <td>91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Alpine</td>\n",
       "      <td>BWT Alpine F1 Team</td>\n",
       "      <td>Enstone, United Kingdom</td>\n",
       "      <td>Otmar Szafneuer</td>\n",
       "      <td>Pat Fry</td>\n",
       "      <td>A522</td>\n",
       "      <td>Renault</td>\n",
       "      <td>1986</td>\n",
       "      <td>2</td>\n",
       "      <td>1(x21)</td>\n",
       "      <td>20</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>McLaren</td>\n",
       "      <td>McLaren F1 Team</td>\n",
       "      <td>Woking, United Kingdom</td>\n",
       "      <td>Andreas Seidl</td>\n",
       "      <td>James Key</td>\n",
       "      <td>MCL36</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>1966</td>\n",
       "      <td>8</td>\n",
       "      <td>1(x183)</td>\n",
       "      <td>156</td>\n",
       "      <td>162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Alfa Romeo</td>\n",
       "      <td>Alfa Romeo F1 Team ORLEN</td>\n",
       "      <td>Hinwil, Switzerland</td>\n",
       "      <td>Frédéric Vasseur</td>\n",
       "      <td>Jan Monchaux</td>\n",
       "      <td>C42</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>1993</td>\n",
       "      <td>0</td>\n",
       "      <td>1(x1)</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Aston Martin</td>\n",
       "      <td>Aston Martin Aramco Cognizant F1 Team</td>\n",
       "      <td>Silverstone, United Kingdom</td>\n",
       "      <td>Mike Crack</td>\n",
       "      <td>Andrew Green</td>\n",
       "      <td>AMR22</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>2018</td>\n",
       "      <td>0</td>\n",
       "      <td>1(x1)</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Haas</td>\n",
       "      <td>Haas F1 Team</td>\n",
       "      <td>Kannapolis, United States</td>\n",
       "      <td>Guenther Steiner</td>\n",
       "      <td>Simone Resta</td>\n",
       "      <td>VF-22</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>2016</td>\n",
       "      <td>0</td>\n",
       "      <td>4(x1)</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>AlphaTauri</td>\n",
       "      <td>Scuderia AlphaTauri</td>\n",
       "      <td>Faenza, Italy</td>\n",
       "      <td>Franz Tost</td>\n",
       "      <td>Jody Egginton</td>\n",
       "      <td>AT03</td>\n",
       "      <td>Red Bull Powertrains</td>\n",
       "      <td>1985</td>\n",
       "      <td>0</td>\n",
       "      <td>1(x2)</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Williams</td>\n",
       "      <td>Williams Racing</td>\n",
       "      <td>Grove, United Kingdom</td>\n",
       "      <td>Jost Capito</td>\n",
       "      <td>François-Xavier Demaison</td>\n",
       "      <td>FW44</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>1978</td>\n",
       "      <td>9</td>\n",
       "      <td>1(x114)</td>\n",
       "      <td>128</td>\n",
       "      <td>133</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Team                         Full Team Name  \\\n",
       "1   Red Bull Racing                 Oracle Red Bull Racing   \n",
       "2           Ferrari                       Scuderia Ferrari   \n",
       "3          Mercedes          Mercedes-AMG Petronas F1 Team   \n",
       "4            Alpine                     BWT Alpine F1 Team   \n",
       "5           McLaren                        McLaren F1 Team   \n",
       "6        Alfa Romeo               Alfa Romeo F1 Team ORLEN   \n",
       "7      Aston Martin  Aston Martin Aramco Cognizant F1 Team   \n",
       "8              Haas                           Haas F1 Team   \n",
       "9        AlphaTauri                    Scuderia AlphaTauri   \n",
       "10         Williams                        Williams Racing   \n",
       "\n",
       "                             Base        Team Chief  \\\n",
       "1   Milton Keynes, United Kingdom  Christian Horner   \n",
       "2                Maranello, Italy    Mattia Binotto   \n",
       "3        Brackley, United Kingdom        Toto Wolff   \n",
       "4         Enstone, United Kingdom   Otmar Szafneuer   \n",
       "5          Woking, United Kingdom     Andreas Seidl   \n",
       "6             Hinwil, Switzerland  Frédéric Vasseur   \n",
       "7     Silverstone, United Kingdom        Mike Crack   \n",
       "8       Kannapolis, United States  Guenther Steiner   \n",
       "9                   Faenza, Italy        Franz Tost   \n",
       "10          Grove, United Kingdom       Jost Capito   \n",
       "\n",
       "                      Technical Chief Chassis            Power Unit  \\\n",
       "1                        Pierre Waché    RB18  Red Bull Powertrains   \n",
       "2   Enrico Cardile / Enrico Gualtieri   F1-75               Ferrari   \n",
       "3                        Mike Elliott     W13              Mercedes   \n",
       "4                             Pat Fry    A522               Renault   \n",
       "5                           James Key   MCL36              Mercedes   \n",
       "6                        Jan Monchaux     C42               Ferrari   \n",
       "7                        Andrew Green   AMR22              Mercedes   \n",
       "8                        Simone Resta   VF-22               Ferrari   \n",
       "9                       Jody Egginton    AT03  Red Bull Powertrains   \n",
       "10           François-Xavier Demaison    FW44              Mercedes   \n",
       "\n",
       "    First Team Entry  World Championships Highest Race Finish  Pole Positions  \\\n",
       "1               1997                    5              1(x92)              81   \n",
       "2               1950                   16             1(x243)             242   \n",
       "3               1970                    8             1(x116)             128   \n",
       "4               1986                    2              1(x21)              20   \n",
       "5               1966                    8             1(x183)             156   \n",
       "6               1993                    0               1(x1)               1   \n",
       "7               2018                    0               1(x1)               1   \n",
       "8               2016                    0               4(x1)               1   \n",
       "9               1985                    0               1(x2)               1   \n",
       "10              1978                    9             1(x114)             128   \n",
       "\n",
       "    Fastest Laps  \n",
       "1             84  \n",
       "2            258  \n",
       "3             91  \n",
       "4             15  \n",
       "5            162  \n",
       "6              6  \n",
       "7              0  \n",
       "8              2  \n",
       "9              2  \n",
       "10           133  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "season2022Teams"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "57575244",
   "metadata": {},
   "source": [
    "There are some noticeable livery changes for some teams compared to previous season:\n",
    "\n",
    "* **Mercedes** team has returned back to their silver livery as the main color on the bodywork of their cars after using black ones mostly in 2020 and 2021 Season.\n",
    "* **Alpine** added some pink colors, especially to their sidepods on their blue-themed cars, after BWT became their name sponsors.\n",
    "* **Haas** launched their cars with some blue colors featured, due to their sponsors Uralkali; but ended the deal before the season has begun, because of the war between Russia and Ukraine. They continued with white, black and red later on.\n",
    "* **Williams** had significant changes on their liveries to mostly contain energy blue color, no longer having white one."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "51f947f3",
   "metadata": {},
   "source": [
    "## 2022 Season - Drivers\n",
    "\n",
    "Together with the number of teams, total of **20 drivers** (plus 2 reserve drivers) were on the grid for the world championship in 2022 Season...\n",
    "\n",
    "_(numbers on the corresponding columns reflect the results after the end of 2022 Season)_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "e365cfb0",
   "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>No</th>\n",
       "      <th>Team</th>\n",
       "      <th>Country</th>\n",
       "      <th>Podiums</th>\n",
       "      <th>Points</th>\n",
       "      <th>Grands Prix Entered</th>\n",
       "      <th>World Championships</th>\n",
       "      <th>Highest Race Finish</th>\n",
       "      <th>Highest Grid Position</th>\n",
       "      <th>Date of Birth</th>\n",
       "      <th>Place of Birth</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Abbreviation</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>VER</th>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>1</td>\n",
       "      <td>Red Bull Racing</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>77</td>\n",
       "      <td>2011.5</td>\n",
       "      <td>163</td>\n",
       "      <td>2</td>\n",
       "      <td>1(x35)</td>\n",
       "      <td>1</td>\n",
       "      <td>30/09/1997</td>\n",
       "      <td>Hasselt,Belgium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LEC</th>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>16</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>Monaco</td>\n",
       "      <td>24</td>\n",
       "      <td>868.0</td>\n",
       "      <td>103</td>\n",
       "      <td>0</td>\n",
       "      <td>1(x5)</td>\n",
       "      <td>1</td>\n",
       "      <td>16/10/1997</td>\n",
       "      <td>Monte Carlo, Monaco</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PER</th>\n",
       "      <td>Sergio Perez</td>\n",
       "      <td>11</td>\n",
       "      <td>Red Bull Racing</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>26</td>\n",
       "      <td>1201.0</td>\n",
       "      <td>236</td>\n",
       "      <td>0</td>\n",
       "      <td>1(x4)</td>\n",
       "      <td>1</td>\n",
       "      <td>26/01/1990</td>\n",
       "      <td>Guadalajara, Mexico</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RUS</th>\n",
       "      <td>George Russell</td>\n",
       "      <td>63</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>9</td>\n",
       "      <td>294.0</td>\n",
       "      <td>82</td>\n",
       "      <td>0</td>\n",
       "      <td>1(x1)</td>\n",
       "      <td>1</td>\n",
       "      <td>15/02/1998</td>\n",
       "      <td>King's Lynn, England</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAI</th>\n",
       "      <td>Carlos Sainz</td>\n",
       "      <td>55</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>Spain</td>\n",
       "      <td>15</td>\n",
       "      <td>782.5</td>\n",
       "      <td>163</td>\n",
       "      <td>0</td>\n",
       "      <td>1(x1)</td>\n",
       "      <td>1</td>\n",
       "      <td>01/09/1994</td>\n",
       "      <td>Madrid, Spain</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HAM</th>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>44</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>191</td>\n",
       "      <td>4405.5</td>\n",
       "      <td>310</td>\n",
       "      <td>7</td>\n",
       "      <td>1(x103)</td>\n",
       "      <td>1</td>\n",
       "      <td>07/01/1985</td>\n",
       "      <td>Stevenage, England</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NOR</th>\n",
       "      <td>Lando Norris</td>\n",
       "      <td>4</td>\n",
       "      <td>McLaren</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>6</td>\n",
       "      <td>428.0</td>\n",
       "      <td>82</td>\n",
       "      <td>0</td>\n",
       "      <td>2(x1)</td>\n",
       "      <td>1</td>\n",
       "      <td>13/11/1999</td>\n",
       "      <td>Bristol, England</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OCO</th>\n",
       "      <td>Esteban Ocon</td>\n",
       "      <td>31</td>\n",
       "      <td>Alpine</td>\n",
       "      <td>France</td>\n",
       "      <td>2</td>\n",
       "      <td>364.0</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>1(x1)</td>\n",
       "      <td>3</td>\n",
       "      <td>17/09/1996</td>\n",
       "      <td>Evreux, Normandy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ALO</th>\n",
       "      <td>Fernando Alonso</td>\n",
       "      <td>14</td>\n",
       "      <td>Alpine</td>\n",
       "      <td>Spain</td>\n",
       "      <td>98</td>\n",
       "      <td>2061.0</td>\n",
       "      <td>358</td>\n",
       "      <td>2</td>\n",
       "      <td>1(x32)</td>\n",
       "      <td>1</td>\n",
       "      <td>29/07/1981</td>\n",
       "      <td>Oviedo, Spain</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BOT</th>\n",
       "      <td>Valtteri Bottas</td>\n",
       "      <td>77</td>\n",
       "      <td>Alfa Romeo</td>\n",
       "      <td>Finland</td>\n",
       "      <td>67</td>\n",
       "      <td>1787.0</td>\n",
       "      <td>200</td>\n",
       "      <td>0</td>\n",
       "      <td>1(x10)</td>\n",
       "      <td>1</td>\n",
       "      <td>28/08/1989</td>\n",
       "      <td>Nastola, Finland</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RIC</th>\n",
       "      <td>Daniel Ricciardo</td>\n",
       "      <td>3</td>\n",
       "      <td>McLaren</td>\n",
       "      <td>Australia</td>\n",
       "      <td>32</td>\n",
       "      <td>1311.0</td>\n",
       "      <td>232</td>\n",
       "      <td>0</td>\n",
       "      <td>1(x8)</td>\n",
       "      <td>1</td>\n",
       "      <td>01/07/1989</td>\n",
       "      <td>Perth, Australia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VET</th>\n",
       "      <td>Sebastian Vettel</td>\n",
       "      <td>5</td>\n",
       "      <td>Aston Martin</td>\n",
       "      <td>Germany</td>\n",
       "      <td>122</td>\n",
       "      <td>3098.0</td>\n",
       "      <td>300</td>\n",
       "      <td>4</td>\n",
       "      <td>1(x53)</td>\n",
       "      <td>1</td>\n",
       "      <td>03/07/1987</td>\n",
       "      <td>Heppenheim, Germany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MAG</th>\n",
       "      <td>Kevin Magnussen</td>\n",
       "      <td>20</td>\n",
       "      <td>Haas F1 Team</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>1</td>\n",
       "      <td>183.0</td>\n",
       "      <td>142</td>\n",
       "      <td>0</td>\n",
       "      <td>2(x1)</td>\n",
       "      <td>4</td>\n",
       "      <td>05/10/1992</td>\n",
       "      <td>Roskilde, Denmark</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GAS</th>\n",
       "      <td>Pierre Gasly</td>\n",
       "      <td>10</td>\n",
       "      <td>AlphaTauri</td>\n",
       "      <td>France</td>\n",
       "      <td>3</td>\n",
       "      <td>332.0</td>\n",
       "      <td>108</td>\n",
       "      <td>0</td>\n",
       "      <td>1(x1)</td>\n",
       "      <td>2</td>\n",
       "      <td>07/02/1996</td>\n",
       "      <td>Rouen, France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>STR</th>\n",
       "      <td>Lance Stroll</td>\n",
       "      <td>18</td>\n",
       "      <td>Aston Martin</td>\n",
       "      <td>Canada</td>\n",
       "      <td>3</td>\n",
       "      <td>194.0</td>\n",
       "      <td>122</td>\n",
       "      <td>0</td>\n",
       "      <td>3(x3)</td>\n",
       "      <td>1</td>\n",
       "      <td>29/10/1998</td>\n",
       "      <td>Montreal, Canada</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MSC</th>\n",
       "      <td>Mick Schumacher</td>\n",
       "      <td>47</td>\n",
       "      <td>Haas F1 Team</td>\n",
       "      <td>Germany</td>\n",
       "      <td>0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>43</td>\n",
       "      <td>0</td>\n",
       "      <td>6(x1)</td>\n",
       "      <td>6</td>\n",
       "      <td>22/03/1999</td>\n",
       "      <td>Vufflens-le-Chateau, Switzerland</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TSU</th>\n",
       "      <td>Yuki Tsunoda</td>\n",
       "      <td>22</td>\n",
       "      <td>AlphaTauri</td>\n",
       "      <td>Japan</td>\n",
       "      <td>0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>44</td>\n",
       "      <td>0</td>\n",
       "      <td>4(x1)</td>\n",
       "      <td>7</td>\n",
       "      <td>11/05/2000</td>\n",
       "      <td>Sagamihara, Japan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZHO</th>\n",
       "      <td>Guanyu Zhou</td>\n",
       "      <td>24</td>\n",
       "      <td>Alfa Romeo</td>\n",
       "      <td>China</td>\n",
       "      <td>0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>22</td>\n",
       "      <td>0</td>\n",
       "      <td>8(x1)</td>\n",
       "      <td>9</td>\n",
       "      <td>30/05/1999</td>\n",
       "      <td>Shanghai, China</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ALB</th>\n",
       "      <td>Alexander Albon</td>\n",
       "      <td>23</td>\n",
       "      <td>Williams</td>\n",
       "      <td>Thailand</td>\n",
       "      <td>2</td>\n",
       "      <td>201.0</td>\n",
       "      <td>59</td>\n",
       "      <td>0</td>\n",
       "      <td>3(x2)</td>\n",
       "      <td>4</td>\n",
       "      <td>23/03/1996</td>\n",
       "      <td>London, England</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LAT</th>\n",
       "      <td>Nicholas Latifi</td>\n",
       "      <td>6</td>\n",
       "      <td>Williams</td>\n",
       "      <td>Canada</td>\n",
       "      <td>0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>61</td>\n",
       "      <td>0</td>\n",
       "      <td>7(x1)</td>\n",
       "      <td>10</td>\n",
       "      <td>29/06/1995</td>\n",
       "      <td>Montreal, Canada</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DEV</th>\n",
       "      <td>Nyck De Vries</td>\n",
       "      <td>45</td>\n",
       "      <td>Williams</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>9(x1)</td>\n",
       "      <td>8</td>\n",
       "      <td>06/02/1995</td>\n",
       "      <td>Uitwellingerga, Netherlands</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HUL</th>\n",
       "      <td>Nico Hulkenberg</td>\n",
       "      <td>27</td>\n",
       "      <td>Aston Martin</td>\n",
       "      <td>Germany</td>\n",
       "      <td>0</td>\n",
       "      <td>521.0</td>\n",
       "      <td>184</td>\n",
       "      <td>0</td>\n",
       "      <td>4(x3)</td>\n",
       "      <td>1</td>\n",
       "      <td>19/08/1987</td>\n",
       "      <td>Emmerich am Rhein, Germany</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        Driver  No             Team         Country  Podiums  \\\n",
       "Abbreviation                                                                   \n",
       "VER             Max Verstappen   1  Red Bull Racing     Netherlands       77   \n",
       "LEC            Charles Leclerc  16          Ferrari          Monaco       24   \n",
       "PER               Sergio Perez  11  Red Bull Racing          Mexico       26   \n",
       "RUS             George Russell  63         Mercedes  United Kingdom        9   \n",
       "SAI               Carlos Sainz  55          Ferrari           Spain       15   \n",
       "HAM             Lewis Hamilton  44         Mercedes  United Kingdom      191   \n",
       "NOR               Lando Norris   4          McLaren  United Kingdom        6   \n",
       "OCO               Esteban Ocon  31           Alpine          France        2   \n",
       "ALO            Fernando Alonso  14           Alpine           Spain       98   \n",
       "BOT            Valtteri Bottas  77       Alfa Romeo         Finland       67   \n",
       "RIC           Daniel Ricciardo   3          McLaren       Australia       32   \n",
       "VET           Sebastian Vettel   5     Aston Martin         Germany      122   \n",
       "MAG            Kevin Magnussen  20     Haas F1 Team         Denmark        1   \n",
       "GAS               Pierre Gasly  10       AlphaTauri          France        3   \n",
       "STR               Lance Stroll  18     Aston Martin          Canada        3   \n",
       "MSC            Mick Schumacher  47     Haas F1 Team         Germany        0   \n",
       "TSU               Yuki Tsunoda  22       AlphaTauri           Japan        0   \n",
       "ZHO                Guanyu Zhou  24       Alfa Romeo           China        0   \n",
       "ALB            Alexander Albon  23         Williams        Thailand        2   \n",
       "LAT            Nicholas Latifi   6         Williams          Canada        0   \n",
       "DEV              Nyck De Vries  45         Williams     Netherlands        0   \n",
       "HUL            Nico Hulkenberg  27     Aston Martin         Germany        0   \n",
       "\n",
       "              Points  Grands Prix Entered  World Championships  \\\n",
       "Abbreviation                                                     \n",
       "VER           2011.5                  163                    2   \n",
       "LEC            868.0                  103                    0   \n",
       "PER           1201.0                  236                    0   \n",
       "RUS            294.0                   82                    0   \n",
       "SAI            782.5                  163                    0   \n",
       "HAM           4405.5                  310                    7   \n",
       "NOR            428.0                   82                    0   \n",
       "OCO            364.0                  111                    0   \n",
       "ALO           2061.0                  358                    2   \n",
       "BOT           1787.0                  200                    0   \n",
       "RIC           1311.0                  232                    0   \n",
       "VET           3098.0                  300                    4   \n",
       "MAG            183.0                  142                    0   \n",
       "GAS            332.0                  108                    0   \n",
       "STR            194.0                  122                    0   \n",
       "MSC             12.0                   43                    0   \n",
       "TSU             44.0                   44                    0   \n",
       "ZHO              6.0                   22                    0   \n",
       "ALB            201.0                   59                    0   \n",
       "LAT              9.0                   61                    0   \n",
       "DEV              2.0                    1                    0   \n",
       "HUL            521.0                  184                    0   \n",
       "\n",
       "             Highest Race Finish  Highest Grid Position Date of Birth  \\\n",
       "Abbreviation                                                            \n",
       "VER                       1(x35)                      1    30/09/1997   \n",
       "LEC                        1(x5)                      1    16/10/1997   \n",
       "PER                        1(x4)                      1    26/01/1990   \n",
       "RUS                        1(x1)                      1    15/02/1998   \n",
       "SAI                        1(x1)                      1    01/09/1994   \n",
       "HAM                      1(x103)                      1    07/01/1985   \n",
       "NOR                        2(x1)                      1    13/11/1999   \n",
       "OCO                        1(x1)                      3    17/09/1996   \n",
       "ALO                       1(x32)                      1    29/07/1981   \n",
       "BOT                       1(x10)                      1    28/08/1989   \n",
       "RIC                        1(x8)                      1    01/07/1989   \n",
       "VET                       1(x53)                      1    03/07/1987   \n",
       "MAG                        2(x1)                      4    05/10/1992   \n",
       "GAS                        1(x1)                      2    07/02/1996   \n",
       "STR                        3(x3)                      1    29/10/1998   \n",
       "MSC                        6(x1)                      6    22/03/1999   \n",
       "TSU                        4(x1)                      7    11/05/2000   \n",
       "ZHO                        8(x1)                      9    30/05/1999   \n",
       "ALB                        3(x2)                      4    23/03/1996   \n",
       "LAT                        7(x1)                     10    29/06/1995   \n",
       "DEV                        9(x1)                      8    06/02/1995   \n",
       "HUL                        4(x3)                      1    19/08/1987   \n",
       "\n",
       "                                Place of Birth  \n",
       "Abbreviation                                    \n",
       "VER                            Hasselt,Belgium  \n",
       "LEC                        Monte Carlo, Monaco  \n",
       "PER                        Guadalajara, Mexico  \n",
       "RUS                       King's Lynn, England  \n",
       "SAI                              Madrid, Spain  \n",
       "HAM                         Stevenage, England  \n",
       "NOR                           Bristol, England  \n",
       "OCO                           Evreux, Normandy  \n",
       "ALO                              Oviedo, Spain  \n",
       "BOT                           Nastola, Finland  \n",
       "RIC                           Perth, Australia  \n",
       "VET                        Heppenheim, Germany  \n",
       "MAG                          Roskilde, Denmark  \n",
       "GAS                              Rouen, France  \n",
       "STR                           Montreal, Canada  \n",
       "MSC           Vufflens-le-Chateau, Switzerland  \n",
       "TSU                          Sagamihara, Japan  \n",
       "ZHO                            Shanghai, China  \n",
       "ALB                            London, England  \n",
       "LAT                           Montreal, Canada  \n",
       "DEV                Uitwellingerga, Netherlands  \n",
       "HUL                 Emmerich am Rhein, Germany  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "season2022Drivers"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a793a0ff",
   "metadata": {},
   "source": [
    "Let's point out the remarkable driver changes compared to 2021:\n",
    "\n",
    "* **George Russell** finally moved to Mercedes to become the teammate of 7-times world champion Lewis Hamilton. Remember that the British driver had had a race with the team once for the second Bahrain race in 2020.\n",
    "* **Valtteri Bottas** departed from Mercedes team, after racing with them for five years in total and achieving multiple wins and podiums. The Finnish driver started a new chapter with Alfa Romeo for his career, where his compatriot Kimi Raikkönen retired from F1 just after the end of 2021 season in the same team.\n",
    "* **Guanyu Zhou** was the newest driver in the grid, becoming the first ever Chinese driver in Formula 1 history and having a seat with Alfa Romeo as Bottas' teammate.\n",
    "* **Alexander Albon** returned back to F1 to go racing for Williams, after the impact of Russell's move to Mercedes.\n",
    "* Russian driver **Nikita Mazepin** would've continued with Haas, but his contract was terminated before the season started due to the war bursting out between Russia and Ukraine. Instead, **Kevin Magnussen**, who raced with the American team in previous seasons, has been called back.\n",
    "* Two reserve drivers (Nyck De Vries & Nico Hulkenberg) have appeared in 2022 Season's grid. **De Vries** replaced Alexander Albon for Williams in Italy (Monza) GP, while **Hulkenberg** raced in Sebastian Vettel's place for Aston Martin in the first two races (Bahrain & Saudi Arabia)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aa8e7da5",
   "metadata": {},
   "source": [
    "## Several Notable Races in 2022 Season\n",
    "\n",
    "Within the 22-race long 2022 Season, there were such race weekends that stood out more than other for intriguing, scary, or spectacular incidents. Here, I've chosen seven of them to remember what things have been coincided, including their top 10 race results..."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "605a81de",
   "metadata": {},
   "source": [
    "### Gulf Air Bahrain Grand Prix 2022"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "a72361a9",
   "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>No</th>\n",
       "      <th>Driver</th>\n",
       "      <th>Team</th>\n",
       "      <th>Starting Grid</th>\n",
       "      <th>Laps</th>\n",
       "      <th>Time/Retired</th>\n",
       "      <th>Points</th>\n",
       "      <th>+1 Pt</th>\n",
       "      <th>Fastest Lap</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Position</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>16</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>1</td>\n",
       "      <td>57</td>\n",
       "      <td>1:37:33.584</td>\n",
       "      <td>26</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1:34.570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>55</td>\n",
       "      <td>Carlos Sainz</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>3</td>\n",
       "      <td>57</td>\n",
       "      <td>+5.598</td>\n",
       "      <td>18</td>\n",
       "      <td>No</td>\n",
       "      <td>1:35.740</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>44</td>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>5</td>\n",
       "      <td>57</td>\n",
       "      <td>+9.675</td>\n",
       "      <td>15</td>\n",
       "      <td>No</td>\n",
       "      <td>1:36.228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>63</td>\n",
       "      <td>George Russell</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>9</td>\n",
       "      <td>57</td>\n",
       "      <td>+11.211</td>\n",
       "      <td>12</td>\n",
       "      <td>No</td>\n",
       "      <td>1:36.302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>20</td>\n",
       "      <td>Kevin Magnussen</td>\n",
       "      <td>Haas Ferrari</td>\n",
       "      <td>7</td>\n",
       "      <td>57</td>\n",
       "      <td>+14.754</td>\n",
       "      <td>10</td>\n",
       "      <td>No</td>\n",
       "      <td>1:36.623</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>77</td>\n",
       "      <td>Valtteri Bottas</td>\n",
       "      <td>Alfa Romeo Ferrari</td>\n",
       "      <td>6</td>\n",
       "      <td>57</td>\n",
       "      <td>+16.119</td>\n",
       "      <td>8</td>\n",
       "      <td>No</td>\n",
       "      <td>1:36.599</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>31</td>\n",
       "      <td>Esteban Ocon</td>\n",
       "      <td>Alpine Renault</td>\n",
       "      <td>11</td>\n",
       "      <td>57</td>\n",
       "      <td>+19.423</td>\n",
       "      <td>6</td>\n",
       "      <td>No</td>\n",
       "      <td>1:37.110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>22</td>\n",
       "      <td>Yuki Tsunoda</td>\n",
       "      <td>AlphaTauri RBPT</td>\n",
       "      <td>16</td>\n",
       "      <td>57</td>\n",
       "      <td>+20.386</td>\n",
       "      <td>4</td>\n",
       "      <td>No</td>\n",
       "      <td>1:37.104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>14</td>\n",
       "      <td>Fernando Alonso</td>\n",
       "      <td>Alpine Renault</td>\n",
       "      <td>8</td>\n",
       "      <td>57</td>\n",
       "      <td>+22.390</td>\n",
       "      <td>2</td>\n",
       "      <td>No</td>\n",
       "      <td>1:36.733</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>24</td>\n",
       "      <td>Guanyu Zhou</td>\n",
       "      <td>Alfa Romeo Ferrari</td>\n",
       "      <td>15</td>\n",
       "      <td>57</td>\n",
       "      <td>+23.064</td>\n",
       "      <td>1</td>\n",
       "      <td>No</td>\n",
       "      <td>1:36.685</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          No           Driver                Team  Starting Grid  Laps  \\\n",
       "Position                                                                 \n",
       "1         16  Charles Leclerc             Ferrari              1    57   \n",
       "2         55     Carlos Sainz             Ferrari              3    57   \n",
       "3         44   Lewis Hamilton            Mercedes              5    57   \n",
       "4         63   George Russell            Mercedes              9    57   \n",
       "5         20  Kevin Magnussen        Haas Ferrari              7    57   \n",
       "6         77  Valtteri Bottas  Alfa Romeo Ferrari              6    57   \n",
       "7         31     Esteban Ocon      Alpine Renault             11    57   \n",
       "8         22     Yuki Tsunoda     AlphaTauri RBPT             16    57   \n",
       "9         14  Fernando Alonso      Alpine Renault              8    57   \n",
       "10        24      Guanyu Zhou  Alfa Romeo Ferrari             15    57   \n",
       "\n",
       "         Time/Retired  Points +1 Pt Fastest Lap  \n",
       "Position                                         \n",
       "1         1:37:33.584      26   Yes    1:34.570  \n",
       "2              +5.598      18    No    1:35.740  \n",
       "3              +9.675      15    No    1:36.228  \n",
       "4             +11.211      12    No    1:36.302  \n",
       "5             +14.754      10    No    1:36.623  \n",
       "6             +16.119       8    No    1:36.599  \n",
       "7             +19.423       6    No    1:37.110  \n",
       "8             +20.386       4    No    1:37.104  \n",
       "9             +22.390       2    No    1:36.733  \n",
       "10            +23.064       1    No    1:36.685  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "season2022RaceResults[season2022RaceResults['Track'] == 'Bahrain'].drop('Track', axis=1).set_index('Position').head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "14242e77",
   "metadata": {},
   "source": [
    "It was **the opening race** of the season. Until that weekend, nobody knew much about the capabilities of these new-era cars on the asphalt. So far, pre-season tests had been carried out on the same Bahrain circuit, but did not give clear ideas for which team had the fastest car. Therefore, we had to wait for the first Grand Prix of the season.\n",
    "\n",
    "In the qualifying session, **Charles Leclerc took the pole position** where Max Verstappen claimed the second place for the front row start, then the other Ferrari driver Carlos Sainz stayed in the third. In addition, **Mercedes could not have the enough pace** against Red Bull and Ferrari cars unlike 2021 Season; as a result, Lewis Hamilton got the fifth place while his newcomer teammate George Russell settled ninth place.\n",
    "\n",
    "During the race on Sunday, we've encountered **many wheel-to-wheel battles** between Leclerc and Verstappen for the leadership, especially in such corners where there were long straights beforehand; one driver got ahead of his rival, but a few corners later, the other driver retook the lead.\n",
    "\n",
    "In the closing section of the race, however, **something was wrong with Verstappen's car** as he was slowing down on the track and the Dutchman got frustrated. Hence, he had nothing to do with that but to retire the car to the pits! After a short while, Checo Perez had a major issue with his car by spinning, then the engine power cut off immediately! Yes, that was a **double DNF** for Red Bull team, an ultimate disappointment for the start of the season! On the other hand, Ferrari team performed a perfect start **by winning the race with Leclerc** (including the fastest lap point) and second place with Sainz! Certainly, that was in Hamilton's favor to complete the podium and Russell's fourth place together were damage limitations for Mercedes team.\n",
    "\n",
    "About the rest, the Haas driver **Kevin Magnussen** finished P5 astoundingly! Keep in mind that the American team could not score any points in 2021, thus this result was so meaningful that they made the right call to bring the Danish driver back to the grid with several points in the bag at the start. A stunning **Viking comeback**, wasn't it? Remarkably, the Chinese driver **Guanyu Zhou** successfully grabbed a championship point in his debut with Alfa Romeo.\n",
    "\n",
    "**Race Highlights:** https://www.youtube.com/watch?v=wIYPuzWCCSw"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f6c720bc",
   "metadata": {},
   "source": [
    "### Crypto.com Miami Grand Prix 2022"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "be51c254",
   "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>No</th>\n",
       "      <th>Driver</th>\n",
       "      <th>Team</th>\n",
       "      <th>Starting Grid</th>\n",
       "      <th>Laps</th>\n",
       "      <th>Time/Retired</th>\n",
       "      <th>Points</th>\n",
       "      <th>+1 Pt</th>\n",
       "      <th>Fastest Lap</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Position</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>3</td>\n",
       "      <td>57</td>\n",
       "      <td>1:34:24.258</td>\n",
       "      <td>26</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1:31.361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>16</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>1</td>\n",
       "      <td>57</td>\n",
       "      <td>+3.786</td>\n",
       "      <td>18</td>\n",
       "      <td>No</td>\n",
       "      <td>1:31.488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>55</td>\n",
       "      <td>Carlos Sainz</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>2</td>\n",
       "      <td>57</td>\n",
       "      <td>+8.229</td>\n",
       "      <td>15</td>\n",
       "      <td>No</td>\n",
       "      <td>1:31.790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>11</td>\n",
       "      <td>Sergio Perez</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>4</td>\n",
       "      <td>57</td>\n",
       "      <td>+10.638</td>\n",
       "      <td>12</td>\n",
       "      <td>No</td>\n",
       "      <td>1:31.819</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>63</td>\n",
       "      <td>George Russell</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>12</td>\n",
       "      <td>57</td>\n",
       "      <td>+18.582</td>\n",
       "      <td>10</td>\n",
       "      <td>No</td>\n",
       "      <td>1:32.195</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>44</td>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>6</td>\n",
       "      <td>57</td>\n",
       "      <td>+21.368</td>\n",
       "      <td>8</td>\n",
       "      <td>No</td>\n",
       "      <td>1:32.941</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>77</td>\n",
       "      <td>Valtteri Bottas</td>\n",
       "      <td>Alfa Romeo Ferrari</td>\n",
       "      <td>5</td>\n",
       "      <td>57</td>\n",
       "      <td>+25.073</td>\n",
       "      <td>6</td>\n",
       "      <td>No</td>\n",
       "      <td>1:33.184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>31</td>\n",
       "      <td>Esteban Ocon</td>\n",
       "      <td>Alpine Renault</td>\n",
       "      <td>20</td>\n",
       "      <td>57</td>\n",
       "      <td>+28.386</td>\n",
       "      <td>4</td>\n",
       "      <td>No</td>\n",
       "      <td>1:33.163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>23</td>\n",
       "      <td>Alexander Albon</td>\n",
       "      <td>Williams Mercedes</td>\n",
       "      <td>18</td>\n",
       "      <td>57</td>\n",
       "      <td>+32.365</td>\n",
       "      <td>2</td>\n",
       "      <td>No</td>\n",
       "      <td>1:33.447</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>18</td>\n",
       "      <td>Lance Stroll</td>\n",
       "      <td>Aston Martin Aramco Mercedes</td>\n",
       "      <td>10</td>\n",
       "      <td>57</td>\n",
       "      <td>+37.026</td>\n",
       "      <td>1</td>\n",
       "      <td>No</td>\n",
       "      <td>1:33.312</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          No           Driver                          Team  Starting Grid  \\\n",
       "Position                                                                     \n",
       "1          1   Max Verstappen          Red Bull Racing RBPT              3   \n",
       "2         16  Charles Leclerc                       Ferrari              1   \n",
       "3         55     Carlos Sainz                       Ferrari              2   \n",
       "4         11     Sergio Perez          Red Bull Racing RBPT              4   \n",
       "5         63   George Russell                      Mercedes             12   \n",
       "6         44   Lewis Hamilton                      Mercedes              6   \n",
       "7         77  Valtteri Bottas            Alfa Romeo Ferrari              5   \n",
       "8         31     Esteban Ocon                Alpine Renault             20   \n",
       "9         23  Alexander Albon             Williams Mercedes             18   \n",
       "10        18     Lance Stroll  Aston Martin Aramco Mercedes             10   \n",
       "\n",
       "          Laps Time/Retired  Points +1 Pt Fastest Lap  \n",
       "Position                                               \n",
       "1           57  1:34:24.258      26   Yes    1:31.361  \n",
       "2           57       +3.786      18    No    1:31.488  \n",
       "3           57       +8.229      15    No    1:31.790  \n",
       "4           57      +10.638      12    No    1:31.819  \n",
       "5           57      +18.582      10    No    1:32.195  \n",
       "6           57      +21.368       8    No    1:32.941  \n",
       "7           57      +25.073       6    No    1:33.184  \n",
       "8           57      +28.386       4    No    1:33.163  \n",
       "9           57      +32.365       2    No    1:33.447  \n",
       "10          57      +37.026       1    No    1:33.312  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "season2022RaceResults[season2022RaceResults['Track'] == 'Miami'].drop('Track', axis=1).set_index('Position').head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9194618d",
   "metadata": {},
   "source": [
    "Let's move to the **the fifth race** of the season, the brand-new Miami Grand Prix. Another street circuit where Hard Rock Stadium resided in its epicenter. It was **another pole position earned by Charles Leclerc**, while his teammate Sainz arrived next to him for front row start, and both Red Bull drivers Verstappen and Perez settled down to the second row.\n",
    "\n",
    "For Sunday's race, Verstappen seemd to be eager to acquire the lead and never looking back afterwards. He did so by overtaking Leclerc after a couple of laps later from the start, while Sergio Perez was seeking opportunities for passing both Ferraris wherever possible in the whole race.\n",
    "\n",
    "**The most serious incident** was happened between Lando Norris and Pierre Gasly. In that one, the Frenchman turned a corner wide, but after re-joining the track, he banged his front left wheel with the Briton's rear right, causing him to spin around; then the tyre came off from the McLaren. It was such an unfortunate moment for Norris to be out of the race; several laps later, Gasly was forced to retire, perhaps because of the damage his car suffered from that incident or something else.\n",
    "\n",
    "All in all, the inaugural Miami race was **won by Max Verstappen**, getting additional 26 points (so this includes the fastest lap point) to climb up to higher places in Drivers Standings, together with two Ferraris behind to complete the podium. Then, there were Mercedes drivers pursuing completing the race after the drivers from the top two teams.\n",
    "\n",
    "**Race Highlights:** https://www.youtube.com/watch?v=Bixit7nxYE4"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6b4b37e5",
   "metadata": {},
   "source": [
    "### Grand Prix de Monaco 2022"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "3b5e0a5c",
   "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>No</th>\n",
       "      <th>Driver</th>\n",
       "      <th>Team</th>\n",
       "      <th>Starting Grid</th>\n",
       "      <th>Laps</th>\n",
       "      <th>Time/Retired</th>\n",
       "      <th>Points</th>\n",
       "      <th>+1 Pt</th>\n",
       "      <th>Fastest Lap</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Position</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>11</td>\n",
       "      <td>Sergio Perez</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>3</td>\n",
       "      <td>64</td>\n",
       "      <td>1:56:30.265</td>\n",
       "      <td>25</td>\n",
       "      <td>No</td>\n",
       "      <td>1:16.028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>55</td>\n",
       "      <td>Carlos Sainz</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>2</td>\n",
       "      <td>64</td>\n",
       "      <td>+1.154</td>\n",
       "      <td>18</td>\n",
       "      <td>No</td>\n",
       "      <td>1:16.421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>4</td>\n",
       "      <td>64</td>\n",
       "      <td>+1.491</td>\n",
       "      <td>15</td>\n",
       "      <td>No</td>\n",
       "      <td>1:16.052</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>16</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>1</td>\n",
       "      <td>64</td>\n",
       "      <td>+2.922</td>\n",
       "      <td>12</td>\n",
       "      <td>No</td>\n",
       "      <td>1:16.249</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>63</td>\n",
       "      <td>George Russell</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>6</td>\n",
       "      <td>64</td>\n",
       "      <td>+11.968</td>\n",
       "      <td>10</td>\n",
       "      <td>No</td>\n",
       "      <td>1:16.830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>4</td>\n",
       "      <td>Lando Norris</td>\n",
       "      <td>McLaren Mercedes</td>\n",
       "      <td>5</td>\n",
       "      <td>64</td>\n",
       "      <td>+12.231</td>\n",
       "      <td>9</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1:14.693</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>14</td>\n",
       "      <td>Fernando Alonso</td>\n",
       "      <td>Alpine Renault</td>\n",
       "      <td>7</td>\n",
       "      <td>64</td>\n",
       "      <td>+46.358</td>\n",
       "      <td>6</td>\n",
       "      <td>No</td>\n",
       "      <td>1:15.882</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>44</td>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>8</td>\n",
       "      <td>64</td>\n",
       "      <td>+50.388</td>\n",
       "      <td>4</td>\n",
       "      <td>No</td>\n",
       "      <td>1:17.203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>77</td>\n",
       "      <td>Valtteri Bottas</td>\n",
       "      <td>Alfa Romeo Ferrari</td>\n",
       "      <td>12</td>\n",
       "      <td>64</td>\n",
       "      <td>+52.525</td>\n",
       "      <td>2</td>\n",
       "      <td>No</td>\n",
       "      <td>1:17.600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>5</td>\n",
       "      <td>Sebastian Vettel</td>\n",
       "      <td>Aston Martin Aramco Mercedes</td>\n",
       "      <td>9</td>\n",
       "      <td>64</td>\n",
       "      <td>+53.536</td>\n",
       "      <td>1</td>\n",
       "      <td>No</td>\n",
       "      <td>1:17.558</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          No            Driver                          Team  Starting Grid  \\\n",
       "Position                                                                      \n",
       "1         11      Sergio Perez          Red Bull Racing RBPT              3   \n",
       "2         55      Carlos Sainz                       Ferrari              2   \n",
       "3          1    Max Verstappen          Red Bull Racing RBPT              4   \n",
       "4         16   Charles Leclerc                       Ferrari              1   \n",
       "5         63    George Russell                      Mercedes              6   \n",
       "6          4      Lando Norris              McLaren Mercedes              5   \n",
       "7         14   Fernando Alonso                Alpine Renault              7   \n",
       "8         44    Lewis Hamilton                      Mercedes              8   \n",
       "9         77   Valtteri Bottas            Alfa Romeo Ferrari             12   \n",
       "10         5  Sebastian Vettel  Aston Martin Aramco Mercedes              9   \n",
       "\n",
       "          Laps Time/Retired  Points +1 Pt Fastest Lap  \n",
       "Position                                               \n",
       "1           64  1:56:30.265      25    No    1:16.028  \n",
       "2           64       +1.154      18    No    1:16.421  \n",
       "3           64       +1.491      15    No    1:16.052  \n",
       "4           64       +2.922      12    No    1:16.249  \n",
       "5           64      +11.968      10    No    1:16.830  \n",
       "6           64      +12.231       9   Yes    1:14.693  \n",
       "7           64      +46.358       6    No    1:15.882  \n",
       "8           64      +50.388       4    No    1:17.203  \n",
       "9           64      +52.525       2    No    1:17.600  \n",
       "10          64      +53.536       1    No    1:17.558  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "season2022RaceResults[season2022RaceResults['Track'] == 'Monaco'].drop('Track', axis=1).set_index('Position').head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "828da4b2",
   "metadata": {},
   "source": [
    "As always, Monaco was **one of the prestigious and the oldest race circuit** for several decades. Although there were controveries that whether or not the ever-growing F1 cars (in the sense of their lengths) were still suitable for lapping around the narrow circuit, this place was attracting lots of people to the grandstands, hotels and even small or large boats to see the actions live every time for sure!\n",
    "\n",
    "This season's Monaco race was **started with heavy rain** and all drivers began lapping behind the safety car, but as the rain still did not go away, later **the red flag** was waved because of the aquaplaning risk for all cars. The right moment has been chosen for racing when the rain was weakened and after major amount of water was swept away from the track surface. However, drivers should've been careful for driving on wet as there was no room for mistake for such a street circuit like this!\n",
    "\n",
    "Perhaps, the breaking point of the race was the moments where Ferrari drivers got involved. Leclerc's first pit stop was for switching his full wet tyres to intermediate, as normal. A few laps later, Sainz and Leclerc made a double stack duty for their pit crews, as the Spaniard switched from wet to hard slick, and the Monegasque pitted for hard tyres by changing from intermediates. However, **there was a misconception over the radio**, because when Leclerc's race engineer said _'Stay out',_ it was too late for him to do that and he was forced for the pit. It was certain that his anger reflected to the radio by saying, _'Fuck! What the hell are you doing?'_ As a result, the Ferraris were the leading the race, but **handed over to Red Bull** after the pits from both teams!\n",
    "\n",
    "Later, there was a frightening accident by Haas driver Mick Schumacher, where his car spun out near the swimming pool chicane and upon the impact to the barriers, **the car's rear end was split from the body** (that would cost a lot to the team definitely)!. Even Mick was all right after this incident, it was not a good day for the team as Magnussen was also DNF a short while ago.\n",
    "\n",
    "In the last 15-20 laps of the race (where it was decided to finish under time limit instead of regular 78 laps), there were **close chases for all four Red Bull and Ferrari drivers** continuously, but it was not easy to perform an attack for overtaking in  a narrow street circuit. At the end, **Sergio Perez** successfully won the Grand Prix, getting his 3rd victory in his career in that day! For Charles Leclerc, he **finally completed a race in his own country** with 4th place and ended his curse for not seeing the chequered flag here during his career (even in the periods from Formula 2 and 3)! \n",
    "\n",
    "**Race Highlights:** https://www.youtube.com/watch?v=sp_ntF4GmSE"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b1817e80",
   "metadata": {},
   "source": [
    "### Azerbaijan Grand Prix 2022"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "538e5f38",
   "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>No</th>\n",
       "      <th>Driver</th>\n",
       "      <th>Team</th>\n",
       "      <th>Starting Grid</th>\n",
       "      <th>Laps</th>\n",
       "      <th>Time/Retired</th>\n",
       "      <th>Points</th>\n",
       "      <th>+1 Pt</th>\n",
       "      <th>Fastest Lap</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Position</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>3</td>\n",
       "      <td>51</td>\n",
       "      <td>1:34:05.941</td>\n",
       "      <td>25</td>\n",
       "      <td>No</td>\n",
       "      <td>1:46.050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>11</td>\n",
       "      <td>Sergio Perez</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>2</td>\n",
       "      <td>51</td>\n",
       "      <td>+20.823</td>\n",
       "      <td>19</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1:46.046</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>63</td>\n",
       "      <td>George Russell</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>5</td>\n",
       "      <td>51</td>\n",
       "      <td>+45.995</td>\n",
       "      <td>15</td>\n",
       "      <td>No</td>\n",
       "      <td>1:47.177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>44</td>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>7</td>\n",
       "      <td>51</td>\n",
       "      <td>+71.679</td>\n",
       "      <td>12</td>\n",
       "      <td>No</td>\n",
       "      <td>1:47.044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>10</td>\n",
       "      <td>Pierre Gasly</td>\n",
       "      <td>AlphaTauri RBPT</td>\n",
       "      <td>6</td>\n",
       "      <td>51</td>\n",
       "      <td>+77.299</td>\n",
       "      <td>10</td>\n",
       "      <td>No</td>\n",
       "      <td>1:48.519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>5</td>\n",
       "      <td>Sebastian Vettel</td>\n",
       "      <td>Aston Martin Aramco Mercedes</td>\n",
       "      <td>9</td>\n",
       "      <td>51</td>\n",
       "      <td>+84.099</td>\n",
       "      <td>8</td>\n",
       "      <td>No</td>\n",
       "      <td>1:48.206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>14</td>\n",
       "      <td>Fernando Alonso</td>\n",
       "      <td>Alpine Renault</td>\n",
       "      <td>10</td>\n",
       "      <td>51</td>\n",
       "      <td>+88.596</td>\n",
       "      <td>6</td>\n",
       "      <td>No</td>\n",
       "      <td>1:47.989</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>3</td>\n",
       "      <td>Daniel Ricciardo</td>\n",
       "      <td>McLaren Mercedes</td>\n",
       "      <td>12</td>\n",
       "      <td>51</td>\n",
       "      <td>+92.207</td>\n",
       "      <td>4</td>\n",
       "      <td>No</td>\n",
       "      <td>1:48.276</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>4</td>\n",
       "      <td>Lando Norris</td>\n",
       "      <td>McLaren Mercedes</td>\n",
       "      <td>11</td>\n",
       "      <td>51</td>\n",
       "      <td>+92.556</td>\n",
       "      <td>2</td>\n",
       "      <td>No</td>\n",
       "      <td>1:47.997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>31</td>\n",
       "      <td>Esteban Ocon</td>\n",
       "      <td>Alpine Renault</td>\n",
       "      <td>13</td>\n",
       "      <td>51</td>\n",
       "      <td>+108.184</td>\n",
       "      <td>1</td>\n",
       "      <td>No</td>\n",
       "      <td>1:48.297</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          No            Driver                          Team  Starting Grid  \\\n",
       "Position                                                                      \n",
       "1          1    Max Verstappen          Red Bull Racing RBPT              3   \n",
       "2         11      Sergio Perez          Red Bull Racing RBPT              2   \n",
       "3         63    George Russell                      Mercedes              5   \n",
       "4         44    Lewis Hamilton                      Mercedes              7   \n",
       "5         10      Pierre Gasly               AlphaTauri RBPT              6   \n",
       "6          5  Sebastian Vettel  Aston Martin Aramco Mercedes              9   \n",
       "7         14   Fernando Alonso                Alpine Renault             10   \n",
       "8          3  Daniel Ricciardo              McLaren Mercedes             12   \n",
       "9          4      Lando Norris              McLaren Mercedes             11   \n",
       "10        31      Esteban Ocon                Alpine Renault             13   \n",
       "\n",
       "          Laps Time/Retired  Points +1 Pt Fastest Lap  \n",
       "Position                                               \n",
       "1           51  1:34:05.941      25    No    1:46.050  \n",
       "2           51      +20.823      19   Yes    1:46.046  \n",
       "3           51      +45.995      15    No    1:47.177  \n",
       "4           51      +71.679      12    No    1:47.044  \n",
       "5           51      +77.299      10    No    1:48.519  \n",
       "6           51      +84.099       8    No    1:48.206  \n",
       "7           51      +88.596       6    No    1:47.989  \n",
       "8           51      +92.207       4    No    1:48.276  \n",
       "9           51      +92.556       2    No    1:47.997  \n",
       "10          51     +108.184       1    No    1:48.297  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "season2022RaceResults[season2022RaceResults['Track'] == 'Azerbaijan'].drop('Track', axis=1).set_index('Position').head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "97101f2b",
   "metadata": {},
   "source": [
    "Now, another street circuit for reminiscence; **Baku Street Circuit** with very long straight to the finish line and the tight chicane near the castle where any mistakes were not forgiven. The Saturday's qualifying session saw the occupations of top 4 by Ferrari and Red Bull drivers; starting with **Charles Leclerc's pole position**, Checo Perez was next to him in the front row, and Verstappen was behind the Ferrari, accompanied by Sainz in the second row.\n",
    "\n",
    "After the lights were out in the race, Perez took the lead in the very first corner due to Leclerc's tyres becoming locked up. Several laps later, yellow flags were being waved in the first sector and it was **Carlos Sainz who parked in the escape zone**; the problem from his car seemed to appear from the power unit or gearbox. In the 20th lap, **white smokes were coming from Charles Leclerc's car** in the long straight because of engine failure! Well, that was 'game over' for the Prancing Horse for having double DNF there, even not completing the half distance of the 51-lap race! The only thing they had to do was to pack everything without waiting the for the Grand Prix to complete!\n",
    "\n",
    "As the time progressed, **the problems continued for other Ferrari-powered teams** as well, such that Zhou from Alfa Romeo and Magnussen from Haas suffered major issues from their cars and they needed to pull to the side of the barriers or escape zones wherever possible.\n",
    "\n",
    "Moreover, the interesting incident belonged to Yuki Tsunoda of AlphaTauri as **he got issues from the rear wing** when DRS could not be opened completely! Because the black and orange flag was waved at the Japanese, then he was forced to the pits for quick fix from the crew by **attaching duct tapes** on the wing (pretty uncommon thing, right?)!\n",
    "\n",
    "All in all, it was **a perfect day** for Red Bull and **a comfortable win** by Max Verstappen, with his teammate Sergio Perez finishing second, thanks to the absence of their close rivals. The podium was completed by the young driver George Russell from Mercedes team.\n",
    "\n",
    "**Race Highlights:** https://www.youtube.com/watch?v=9xCYKQXaK7A"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "42409d3c",
   "metadata": {},
   "source": [
    "### Lenovo British Grand Prix 2022"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "ab920839",
   "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>No</th>\n",
       "      <th>Driver</th>\n",
       "      <th>Team</th>\n",
       "      <th>Starting Grid</th>\n",
       "      <th>Laps</th>\n",
       "      <th>Time/Retired</th>\n",
       "      <th>Points</th>\n",
       "      <th>+1 Pt</th>\n",
       "      <th>Fastest Lap</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Position</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>55</td>\n",
       "      <td>Carlos Sainz</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>1</td>\n",
       "      <td>52</td>\n",
       "      <td>2:17:50.311</td>\n",
       "      <td>25</td>\n",
       "      <td>No</td>\n",
       "      <td>1:30.813</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>11</td>\n",
       "      <td>Sergio Perez</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>4</td>\n",
       "      <td>52</td>\n",
       "      <td>+3.779</td>\n",
       "      <td>18</td>\n",
       "      <td>No</td>\n",
       "      <td>1:30.937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>44</td>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>5</td>\n",
       "      <td>52</td>\n",
       "      <td>+6.225</td>\n",
       "      <td>16</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1:30.510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>16</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>3</td>\n",
       "      <td>52</td>\n",
       "      <td>+8.546</td>\n",
       "      <td>12</td>\n",
       "      <td>No</td>\n",
       "      <td>1:31.282</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>14</td>\n",
       "      <td>Fernando Alonso</td>\n",
       "      <td>Alpine Renault</td>\n",
       "      <td>7</td>\n",
       "      <td>52</td>\n",
       "      <td>+9.571</td>\n",
       "      <td>10</td>\n",
       "      <td>No</td>\n",
       "      <td>1:31.609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>4</td>\n",
       "      <td>Lando Norris</td>\n",
       "      <td>McLaren Mercedes</td>\n",
       "      <td>6</td>\n",
       "      <td>52</td>\n",
       "      <td>+11.943</td>\n",
       "      <td>8</td>\n",
       "      <td>No</td>\n",
       "      <td>1:31.645</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>2</td>\n",
       "      <td>52</td>\n",
       "      <td>+18.777</td>\n",
       "      <td>6</td>\n",
       "      <td>No</td>\n",
       "      <td>1:32.354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>47</td>\n",
       "      <td>Mick Schumacher</td>\n",
       "      <td>Haas Ferrari</td>\n",
       "      <td>19</td>\n",
       "      <td>52</td>\n",
       "      <td>+18.995</td>\n",
       "      <td>4</td>\n",
       "      <td>No</td>\n",
       "      <td>1:32.109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>5</td>\n",
       "      <td>Sebastian Vettel</td>\n",
       "      <td>Aston Martin Aramco Mercedes</td>\n",
       "      <td>18</td>\n",
       "      <td>52</td>\n",
       "      <td>+22.356</td>\n",
       "      <td>2</td>\n",
       "      <td>No</td>\n",
       "      <td>1:32.471</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>20</td>\n",
       "      <td>Kevin Magnussen</td>\n",
       "      <td>Haas Ferrari</td>\n",
       "      <td>17</td>\n",
       "      <td>52</td>\n",
       "      <td>+24.590</td>\n",
       "      <td>1</td>\n",
       "      <td>No</td>\n",
       "      <td>1:32.661</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          No            Driver                          Team  Starting Grid  \\\n",
       "Position                                                                      \n",
       "1         55      Carlos Sainz                       Ferrari              1   \n",
       "2         11      Sergio Perez          Red Bull Racing RBPT              4   \n",
       "3         44    Lewis Hamilton                      Mercedes              5   \n",
       "4         16   Charles Leclerc                       Ferrari              3   \n",
       "5         14   Fernando Alonso                Alpine Renault              7   \n",
       "6          4      Lando Norris              McLaren Mercedes              6   \n",
       "7          1    Max Verstappen          Red Bull Racing RBPT              2   \n",
       "8         47   Mick Schumacher                  Haas Ferrari             19   \n",
       "9          5  Sebastian Vettel  Aston Martin Aramco Mercedes             18   \n",
       "10        20   Kevin Magnussen                  Haas Ferrari             17   \n",
       "\n",
       "          Laps Time/Retired  Points +1 Pt Fastest Lap  \n",
       "Position                                               \n",
       "1           52  2:17:50.311      25    No    1:30.813  \n",
       "2           52       +3.779      18    No    1:30.937  \n",
       "3           52       +6.225      16   Yes    1:30.510  \n",
       "4           52       +8.546      12    No    1:31.282  \n",
       "5           52       +9.571      10    No    1:31.609  \n",
       "6           52      +11.943       8    No    1:31.645  \n",
       "7           52      +18.777       6    No    1:32.354  \n",
       "8           52      +18.995       4    No    1:32.109  \n",
       "9           52      +22.356       2    No    1:32.471  \n",
       "10          52      +24.590       1    No    1:32.661  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "season2022RaceResults[season2022RaceResults['Track'] == 'Great Britain'].drop('Track', axis=1).set_index('Position').head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c9ff5f6b",
   "metadata": {},
   "source": [
    "**The home of British motorsports.** Silverstone circuit often cherished people with thrilling battles between drivers on the track and year 2022 was one of them but... in unfavorable way at the start of the race.\n",
    "\n",
    "On the first lap, everybody witnessed a tremendous crash just near the first corner such that **one car was travelling upside down** and went off the track at fast speed while George Russell was immediately out of the race! For that reason, it has been red-flagged without wasting more time.\n",
    "\n",
    "Later, replays showed that the victim of this horrible accident was **Guanyu Zhou** from Alfa Romeo! It all began with Pierre Gasly where the Frenchman made contact with Russell's rear left tyre and the Briton lost control of the car at once, then crashed into Zhou with such a big impact that the Chinese driver was flipped over, and inside the car, he went to the barriers with scary fast speed (even the sand pool did not slow him down!), turned a somersault and stopped near the grandstands for a while! I can definitely say that we all were very frightened about him and thought **if he was badly injured and/or lost his conciousness!** Some time later, thanks to God we learned that he was able to walk away from that accident and saw him on foot, though he was needed to be taken to hospital for further medical care to make sure he was OK. Of course, this was all bypassed with very durable halo protection on the car and advancements to driver's safety.\n",
    "\n",
    "Besides, **the first lap incident was not limited to that one**: There, Sebasitan Vettel crashed Alexander Albon from behind, sent him to the wall near the pit lane, then a few other drivers got affected negatively by contacting him, receiving tyre/suspension damage. However, they had all the damages repaired during the red-flag period, so they were able to attend to the grid again.\n",
    "\n",
    "Thankfully, no more serious incidents occurred after the restart, and it was fine to observe many head-to-head battles between rivals, especially for becoming the race leader, for Red Bulls and Ferraris mostly. Several laps later, Verstappen **got slowed down a bit** due to receiving bodywork damage, but he was able to continue even bearing with the performance loss. To be honest, one of the best struggles was in the last laps of the race, such that while Perez and Leclerc were battling for the 2nd place,  Hamilton got the opportunity to pass them both near the chicane in the last sector! Admit it, you still have the commentator David Croft's astonishment in your mind, with his statement: _'Through goes Hamilton, unbelieveable stuff!'_ Yeah, these fierce battles continued until the last kilometers, even Fernando Alonso and Lando Norris got involved for getting the podium!\n",
    "\n",
    "Despite all those things, the hero of the day was **Carlos Sainz** who started the race on pole position (it was his first at the time) and brought himself to the triumph by crossing the finish line in the first place! This was definitely **one of his smoothest operation** in his F1 career and we were happy for him to join to the Grand Prix winner's club! Vamos!\n",
    "\n",
    "**Race Highlights:** https://www.youtube.com/watch?v=bM6ren2tPU8"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "384e4dab",
   "metadata": {},
   "source": [
    "### Honda Japanese Grand Prix 2022"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "da35ba99",
   "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>No</th>\n",
       "      <th>Driver</th>\n",
       "      <th>Team</th>\n",
       "      <th>Starting Grid</th>\n",
       "      <th>Laps</th>\n",
       "      <th>Time/Retired</th>\n",
       "      <th>Points</th>\n",
       "      <th>+1 Pt</th>\n",
       "      <th>Fastest Lap</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Position</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>1</td>\n",
       "      <td>28</td>\n",
       "      <td>3:01:44.004</td>\n",
       "      <td>25</td>\n",
       "      <td>No</td>\n",
       "      <td>1:44.911</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>11</td>\n",
       "      <td>Sergio Perez</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>4</td>\n",
       "      <td>28</td>\n",
       "      <td>+27.066</td>\n",
       "      <td>18</td>\n",
       "      <td>No</td>\n",
       "      <td>1:46.120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>16</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>2</td>\n",
       "      <td>28</td>\n",
       "      <td>+31.763</td>\n",
       "      <td>15</td>\n",
       "      <td>No</td>\n",
       "      <td>1:44.489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>31</td>\n",
       "      <td>Esteban Ocon</td>\n",
       "      <td>Alpine Renault</td>\n",
       "      <td>5</td>\n",
       "      <td>28</td>\n",
       "      <td>+39.685</td>\n",
       "      <td>12</td>\n",
       "      <td>No</td>\n",
       "      <td>1:46.559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>44</td>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>6</td>\n",
       "      <td>28</td>\n",
       "      <td>+40.326</td>\n",
       "      <td>10</td>\n",
       "      <td>No</td>\n",
       "      <td>1:45.530</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>5</td>\n",
       "      <td>Sebastian Vettel</td>\n",
       "      <td>Aston Martin Aramco Mercedes</td>\n",
       "      <td>9</td>\n",
       "      <td>28</td>\n",
       "      <td>+46.358</td>\n",
       "      <td>8</td>\n",
       "      <td>No</td>\n",
       "      <td>1:46.964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>14</td>\n",
       "      <td>Fernando Alonso</td>\n",
       "      <td>Alpine Renault</td>\n",
       "      <td>7</td>\n",
       "      <td>28</td>\n",
       "      <td>+46.369</td>\n",
       "      <td>6</td>\n",
       "      <td>No</td>\n",
       "      <td>1:44.412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>63</td>\n",
       "      <td>George Russell</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>8</td>\n",
       "      <td>28</td>\n",
       "      <td>+47.661</td>\n",
       "      <td>4</td>\n",
       "      <td>No</td>\n",
       "      <td>1:47.004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>6</td>\n",
       "      <td>Nicholas Latifi</td>\n",
       "      <td>Williams Mercedes</td>\n",
       "      <td>19</td>\n",
       "      <td>28</td>\n",
       "      <td>+70.143</td>\n",
       "      <td>2</td>\n",
       "      <td>No</td>\n",
       "      <td>1:48.371</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>4</td>\n",
       "      <td>Lando Norris</td>\n",
       "      <td>McLaren Mercedes</td>\n",
       "      <td>10</td>\n",
       "      <td>28</td>\n",
       "      <td>+70.782</td>\n",
       "      <td>1</td>\n",
       "      <td>No</td>\n",
       "      <td>1:48.175</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          No            Driver                          Team  Starting Grid  \\\n",
       "Position                                                                      \n",
       "1          1    Max Verstappen          Red Bull Racing RBPT              1   \n",
       "2         11      Sergio Perez          Red Bull Racing RBPT              4   \n",
       "3         16   Charles Leclerc                       Ferrari              2   \n",
       "4         31      Esteban Ocon                Alpine Renault              5   \n",
       "5         44    Lewis Hamilton                      Mercedes              6   \n",
       "6          5  Sebastian Vettel  Aston Martin Aramco Mercedes              9   \n",
       "7         14   Fernando Alonso                Alpine Renault              7   \n",
       "8         63    George Russell                      Mercedes              8   \n",
       "9          6   Nicholas Latifi             Williams Mercedes             19   \n",
       "10         4      Lando Norris              McLaren Mercedes             10   \n",
       "\n",
       "          Laps Time/Retired  Points +1 Pt Fastest Lap  \n",
       "Position                                               \n",
       "1           28  3:01:44.004      25    No    1:44.911  \n",
       "2           28      +27.066      18    No    1:46.120  \n",
       "3           28      +31.763      15    No    1:44.489  \n",
       "4           28      +39.685      12    No    1:46.559  \n",
       "5           28      +40.326      10    No    1:45.530  \n",
       "6           28      +46.358       8    No    1:46.964  \n",
       "7           28      +46.369       6    No    1:44.412  \n",
       "8           28      +47.661       4    No    1:47.004  \n",
       "9           28      +70.143       2    No    1:48.371  \n",
       "10          28      +70.782       1    No    1:48.175  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "season2022RaceResults[season2022RaceResults['Track'] == 'Japan'].drop('Track', axis=1).set_index('Position').head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6ea28418",
   "metadata": {},
   "source": [
    "Now, heading to the Far East, **Suzuka Circuit in Japan**; the one with unique 8-shaped design and the very fast 130R corner.\n",
    "\n",
    "The first four places of the grid were again derived from **both Red Bull and Ferrari drivers**. The championship leader Verstappen was on pole, Leclerc was in the front row near him; behind there were Sainz and Perez. At the same time, however, the heavy rain had fallen down on the track, forcing all drivers to use full wet tyres; we were wondering if everyone could survive in the first couple of laps.\n",
    "\n",
    "Well, unfortunately, **Carlos Sainz was the first one** being out of the race without completing a lap! Another driver was Alexander Albon who got issues on his car within the opening lap. Then, Sebastian Vettel who spun out due to a contact with Alonso before the first corner, but was able to continue afterwards. Similarly, Zhou who also got spun near the hairpin of the track. Furthermore, Pierre Gasly got caught by cardboard in the front of his car, interestingly.\n",
    "\n",
    "After all these incidents, Safety Car deployment to the track was inevitable to bring all the cars safely to the pit lane, because it was the right decision to bring out **the red flag** at that moment. Additionally, it was not possible for the drivers to see what was going on at far distance because of the continuity of the heavy rain and large amount of water spraying caused by the tyres during the first lap of the race. Thus, we all **waited for more than an hour** until the rain was stopped and the danger of aquaplaning was eliminated.\n",
    "\n",
    "Luckily then, it was worthwhile to see F1 actions again when the conditions were suitable for racing (but, from that moment on it was not possible to apply the full length, so the race itself was **converted to time limit**). Upon restart, all drivers with full wet tyres were pitted for intermediate tyres; but even with these swaps, the water spraying continued which was still risky for any driver who were chasing their rivals ahead so close!\n",
    "\n",
    "When the time ran out, Verstappen was already in the lead by over 20 seconds, and it was **another comfortable race win** for him. Speaking of the battle for 2nd place, Leclerc and Perez did the best efforts to outperform each other until they both crossed the finish line. However, the Monegasque driver cut the corner in the last chicane while he was ahead, and Perez behind complained about him over the radio for leaving the track and gaining advantage. As expected, Leclerc received 5-second time penalty after the race, causing him to drop down to 3rd place.\n",
    "\n",
    "With the conclusion of the race, although we thought less points could be awarded to the drivers who completed in top 10 because the race lasted total of **28 laps which was between 50% and 75% distance**, FIA later decided to give full points as usual, pointing out the reason that the race was resumed after red flag. After all these consequences, **Max Verstappen became 2022 Season champion of the world**; the second time in his career! It was also eloquent for Red Bull's engine supplier Honda, for having their driver earned the title in their home race, even though the name appeared as RBPT (Red Bull PowerTrain).\n",
    "\n",
    "**Race Highlights:** https://www.youtube.com/watch?v=0J7cmh3MLp4"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "34969433",
   "metadata": {},
   "source": [
    "### Heineken Gran Premio de Sao Paulo 2022"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "0d72e775",
   "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>No</th>\n",
       "      <th>Driver</th>\n",
       "      <th>Team</th>\n",
       "      <th>Starting Grid</th>\n",
       "      <th>Laps</th>\n",
       "      <th>Time/Retired</th>\n",
       "      <th>Points</th>\n",
       "      <th>+1 Pt</th>\n",
       "      <th>Fastest Lap</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Position</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>63</td>\n",
       "      <td>George Russell</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>1</td>\n",
       "      <td>71</td>\n",
       "      <td>1:38:34.044</td>\n",
       "      <td>26</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1:13.785</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>44</td>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>2</td>\n",
       "      <td>71</td>\n",
       "      <td>+1.529</td>\n",
       "      <td>18</td>\n",
       "      <td>No</td>\n",
       "      <td>1:13.942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>55</td>\n",
       "      <td>Carlos Sainz</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>7</td>\n",
       "      <td>71</td>\n",
       "      <td>+4.051</td>\n",
       "      <td>15</td>\n",
       "      <td>No</td>\n",
       "      <td>1:13.953</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>16</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>5</td>\n",
       "      <td>71</td>\n",
       "      <td>+8.441</td>\n",
       "      <td>12</td>\n",
       "      <td>No</td>\n",
       "      <td>1:14.253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>14</td>\n",
       "      <td>Fernando Alonso</td>\n",
       "      <td>Alpine Renault</td>\n",
       "      <td>17</td>\n",
       "      <td>71</td>\n",
       "      <td>+9.561</td>\n",
       "      <td>10</td>\n",
       "      <td>No</td>\n",
       "      <td>1:14.164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>3</td>\n",
       "      <td>71</td>\n",
       "      <td>+10.056</td>\n",
       "      <td>8</td>\n",
       "      <td>No</td>\n",
       "      <td>1:14.195</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>11</td>\n",
       "      <td>Sergio Perez</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>4</td>\n",
       "      <td>71</td>\n",
       "      <td>+14.080</td>\n",
       "      <td>6</td>\n",
       "      <td>No</td>\n",
       "      <td>1:14.283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>31</td>\n",
       "      <td>Esteban Ocon</td>\n",
       "      <td>Alpine Renault</td>\n",
       "      <td>16</td>\n",
       "      <td>71</td>\n",
       "      <td>+18.690</td>\n",
       "      <td>4</td>\n",
       "      <td>No</td>\n",
       "      <td>1:15.093</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>77</td>\n",
       "      <td>Valtteri Bottas</td>\n",
       "      <td>Alfa Romeo Ferrari</td>\n",
       "      <td>14</td>\n",
       "      <td>71</td>\n",
       "      <td>+22.552</td>\n",
       "      <td>2</td>\n",
       "      <td>No</td>\n",
       "      <td>1:15.511</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>18</td>\n",
       "      <td>Lance Stroll</td>\n",
       "      <td>Aston Martin Aramco Mercedes</td>\n",
       "      <td>15</td>\n",
       "      <td>71</td>\n",
       "      <td>+23.552</td>\n",
       "      <td>1</td>\n",
       "      <td>No</td>\n",
       "      <td>1:14.831</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          No           Driver                          Team  Starting Grid  \\\n",
       "Position                                                                     \n",
       "1         63   George Russell                      Mercedes              1   \n",
       "2         44   Lewis Hamilton                      Mercedes              2   \n",
       "3         55     Carlos Sainz                       Ferrari              7   \n",
       "4         16  Charles Leclerc                       Ferrari              5   \n",
       "5         14  Fernando Alonso                Alpine Renault             17   \n",
       "6          1   Max Verstappen          Red Bull Racing RBPT              3   \n",
       "7         11     Sergio Perez          Red Bull Racing RBPT              4   \n",
       "8         31     Esteban Ocon                Alpine Renault             16   \n",
       "9         77  Valtteri Bottas            Alfa Romeo Ferrari             14   \n",
       "10        18     Lance Stroll  Aston Martin Aramco Mercedes             15   \n",
       "\n",
       "          Laps Time/Retired  Points +1 Pt Fastest Lap  \n",
       "Position                                               \n",
       "1           71  1:38:34.044      26   Yes    1:13.785  \n",
       "2           71       +1.529      18    No    1:13.942  \n",
       "3           71       +4.051      15    No    1:13.953  \n",
       "4           71       +8.441      12    No    1:14.253  \n",
       "5           71       +9.561      10    No    1:14.164  \n",
       "6           71      +10.056       8    No    1:14.195  \n",
       "7           71      +14.080       6    No    1:14.283  \n",
       "8           71      +18.690       4    No    1:15.093  \n",
       "9           71      +22.552       2    No    1:15.511  \n",
       "10          71      +23.552       1    No    1:14.831  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "season2022RaceResults[season2022RaceResults['Track'] == 'Brazil'].drop('Track', axis=1).set_index('Position').head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4067031e",
   "metadata": {},
   "source": [
    "Lastly, let's have a talk about Brazil (actually called Sao Paulo GP), **the penultimate race** of the season.\n",
    "\n",
    "In that race weekend, **there was Sprint race** available and George Russell from Mercedes did an exceptional job for taking the 1st place in the short race format (details below); a great start from the young British before the main race on Sunday.\n",
    "\n",
    "Moving to 71-lap long race, Russell was in the front, while his veteran teammate Hamilton was next to him and already champion Vestappen was in third (Carlos Sainz could've been in 2nd but received 5-place grid penalty in advance).\n",
    "\n",
    "In the very first lap, Daniel Ricciardo made a contact with Kevin Magnussen who got the pole position in Qualifying then grabbed a point in Sprint race (details below). His spin later caused another contact with the Australian, **ended both their races** all of a sudden! It was a pity for the Danish driver for completing the weekend like it was a nightmare!\n",
    "\n",
    "After the safety car period for removing the damaged cars out of the track and cleaning the debris, more contacts between drivers lied down. For instance, 2021 Season's big heroes, **Hamilton and Verstappen collided each other**; causing the Briton to move in off-track for a while, then the Dutch driver received 5-second time penalty. Another incident was happened by **Norris touching Leclerc**, causing him to spin and hitting the barriers; but luckily enough his race wasn't over. These brought some excitements for whether or not the affected drivers could climb up through places throughout the race, after they were forced to pit for repairs.\n",
    "\n",
    "Within the last several laps, the **Mercedes drivers were ahead of the race** with Russell in the lead and Hamilton coming after, with the gap being not much. While Russell wanted to take his first victory in his F1 career, Hamilton by the way was willing to get another win in the track he was so successful in the past. However, the young British driver defended his leadership against 7-time world champion until the end; as a result, Russell in the first season with Mercedes, took the chequered flag in first, won the Sao Paulo GP; becoming **the newest Grand Prix winner** at that time! Yeah, it was absolutely wonderful for him to be on top of the podium, plus the only 1-2 finish Mercedes accomplished among the full season.\n",
    "\n",
    "**Race Highlights:** https://www.youtube.com/watch?v=sG0rVJT_MT0"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8c917187",
   "metadata": {},
   "source": [
    "## 2022 Season - Sprint Races"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "addf8863",
   "metadata": {},
   "source": [
    "Sprint races are the new additions of F1 race weekend structure, first introduced in 2021 Season. In such weekends where this kind of race is available, qualifying session is carried out **on Friday** to determine the starting grid of the sprint race that is implemented **on Saturday** and also the award for pole position.\n",
    "\n",
    "Note that the distances of sprint races are roughly **one third** of a Sunday's race session (in other words, a little more than **100 km**) and it's not mandatory to pit in for changing tyres for another compound. The main purpose of these races are to **shuffle the grid** a bit more by racing on the track to prepare all drivers and teams for the real Grand Prix race on Sunday. Moreover, the top 8 drivers can earn additional championship points, where **the winner of the sprint race gets 8 points**, going down one by one to **1 point for the driver finishing eighth**, instead of just top 3 finishers in 2021 Season.\n",
    "\n",
    "Below you can see the top 10 results of all sprint races occurred in 2022. Total of three sprint races have been organized in **Imola (Emilia Romagna)**, **Austria** and **Brazil**, respectively:"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ad0b00f6",
   "metadata": {},
   "source": [
    "### Emilia Romagna (Imola)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "d87c7baf",
   "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>No</th>\n",
       "      <th>Driver</th>\n",
       "      <th>Team</th>\n",
       "      <th>Starting Grid</th>\n",
       "      <th>Laps</th>\n",
       "      <th>Time/Retired</th>\n",
       "      <th>Points</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Position</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>1</td>\n",
       "      <td>21</td>\n",
       "      <td>30:39.567</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>16</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>2</td>\n",
       "      <td>21</td>\n",
       "      <td>+2.975</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11</td>\n",
       "      <td>Sergio Perez</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>7</td>\n",
       "      <td>21</td>\n",
       "      <td>+4.721</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>55</td>\n",
       "      <td>Carlos Sainz</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>10</td>\n",
       "      <td>21</td>\n",
       "      <td>+17.578</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>4</td>\n",
       "      <td>Lando Norris</td>\n",
       "      <td>McLaren Mercedes</td>\n",
       "      <td>3</td>\n",
       "      <td>21</td>\n",
       "      <td>+24.561</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>3</td>\n",
       "      <td>Daniel Ricciardo</td>\n",
       "      <td>McLaren Mercedes</td>\n",
       "      <td>6</td>\n",
       "      <td>21</td>\n",
       "      <td>+27.740</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>77</td>\n",
       "      <td>Valtteri Bottas</td>\n",
       "      <td>Alfa Romeo Ferrari</td>\n",
       "      <td>8</td>\n",
       "      <td>21</td>\n",
       "      <td>+28.133</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>20</td>\n",
       "      <td>Kevin Magnussen</td>\n",
       "      <td>Haas Ferrari</td>\n",
       "      <td>4</td>\n",
       "      <td>21</td>\n",
       "      <td>+30.712</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>14</td>\n",
       "      <td>Fernando Alonso</td>\n",
       "      <td>Alpine Renault</td>\n",
       "      <td>5</td>\n",
       "      <td>21</td>\n",
       "      <td>+32.278</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>47</td>\n",
       "      <td>Mick Schumacher</td>\n",
       "      <td>Haas Ferrari</td>\n",
       "      <td>12</td>\n",
       "      <td>21</td>\n",
       "      <td>+33.773</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          No            Driver                  Team  Starting Grid  Laps  \\\n",
       "Position                                                                    \n",
       "1          1    Max Verstappen  Red Bull Racing RBPT              1    21   \n",
       "2         16   Charles Leclerc               Ferrari              2    21   \n",
       "3         11      Sergio Perez  Red Bull Racing RBPT              7    21   \n",
       "4         55      Carlos Sainz               Ferrari             10    21   \n",
       "5          4      Lando Norris      McLaren Mercedes              3    21   \n",
       "6          3  Daniel Ricciardo      McLaren Mercedes              6    21   \n",
       "7         77   Valtteri Bottas    Alfa Romeo Ferrari              8    21   \n",
       "8         20   Kevin Magnussen          Haas Ferrari              4    21   \n",
       "9         14   Fernando Alonso        Alpine Renault              5    21   \n",
       "10        47   Mick Schumacher          Haas Ferrari             12    21   \n",
       "\n",
       "         Time/Retired  Points  \n",
       "Position                       \n",
       "1           30:39.567       8  \n",
       "2              +2.975       7  \n",
       "3              +4.721       6  \n",
       "4             +17.578       5  \n",
       "5             +24.561       4  \n",
       "6             +27.740       3  \n",
       "7             +28.133       2  \n",
       "8             +30.712       1  \n",
       "9             +32.278       0  \n",
       "10            +33.773       0  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "season2022SprintRaceResults[season2022SprintRaceResults['Track'] == 'Emilia Romagna'] \\\n",
    "    .drop('Track', axis=1).set_index('Position').head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cdcb66b7",
   "metadata": {},
   "source": [
    "### Austria"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "00832d28",
   "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>No</th>\n",
       "      <th>Driver</th>\n",
       "      <th>Team</th>\n",
       "      <th>Starting Grid</th>\n",
       "      <th>Laps</th>\n",
       "      <th>Time/Retired</th>\n",
       "      <th>Points</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Position</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>1</td>\n",
       "      <td>23</td>\n",
       "      <td>26:30.059</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>16</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>2</td>\n",
       "      <td>23</td>\n",
       "      <td>+1.675</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>55</td>\n",
       "      <td>Carlos Sainz</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>+5.644</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>63</td>\n",
       "      <td>George Russell</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>4</td>\n",
       "      <td>23</td>\n",
       "      <td>+13.429</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>11</td>\n",
       "      <td>Sergio Perez</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>13</td>\n",
       "      <td>23</td>\n",
       "      <td>+18.302</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>31</td>\n",
       "      <td>Esteban Ocon</td>\n",
       "      <td>Alpine Renault</td>\n",
       "      <td>5</td>\n",
       "      <td>23</td>\n",
       "      <td>+31.032</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>20</td>\n",
       "      <td>Kevin Magnussen</td>\n",
       "      <td>Haas Ferrari</td>\n",
       "      <td>6</td>\n",
       "      <td>23</td>\n",
       "      <td>+34.539</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>44</td>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>9</td>\n",
       "      <td>23</td>\n",
       "      <td>+35.447</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>47</td>\n",
       "      <td>Mick Schumacher</td>\n",
       "      <td>Haas Ferrari</td>\n",
       "      <td>7</td>\n",
       "      <td>23</td>\n",
       "      <td>+37.163</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>77</td>\n",
       "      <td>Valtteri Bottas</td>\n",
       "      <td>Alfa Romeo Ferrari</td>\n",
       "      <td>12</td>\n",
       "      <td>23</td>\n",
       "      <td>+37.557</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          No           Driver                  Team  Starting Grid  Laps  \\\n",
       "Position                                                                   \n",
       "1          1   Max Verstappen  Red Bull Racing RBPT              1    23   \n",
       "2         16  Charles Leclerc               Ferrari              2    23   \n",
       "3         55     Carlos Sainz               Ferrari              3    23   \n",
       "4         63   George Russell              Mercedes              4    23   \n",
       "5         11     Sergio Perez  Red Bull Racing RBPT             13    23   \n",
       "6         31     Esteban Ocon        Alpine Renault              5    23   \n",
       "7         20  Kevin Magnussen          Haas Ferrari              6    23   \n",
       "8         44   Lewis Hamilton              Mercedes              9    23   \n",
       "9         47  Mick Schumacher          Haas Ferrari              7    23   \n",
       "10        77  Valtteri Bottas    Alfa Romeo Ferrari             12    23   \n",
       "\n",
       "         Time/Retired  Points  \n",
       "Position                       \n",
       "1           26:30.059       8  \n",
       "2              +1.675       7  \n",
       "3              +5.644       6  \n",
       "4             +13.429       5  \n",
       "5             +18.302       4  \n",
       "6             +31.032       3  \n",
       "7             +34.539       2  \n",
       "8             +35.447       1  \n",
       "9             +37.163       0  \n",
       "10            +37.557       0  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "season2022SprintRaceResults[season2022SprintRaceResults['Track'] == 'Austria'] \\\n",
    "    .drop('Track', axis=1).set_index('Position').head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a29bde34",
   "metadata": {},
   "source": [
    "### Brazil"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "7cc53682",
   "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>No</th>\n",
       "      <th>Driver</th>\n",
       "      <th>Team</th>\n",
       "      <th>Starting Grid</th>\n",
       "      <th>Laps</th>\n",
       "      <th>Time/Retired</th>\n",
       "      <th>Points</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Position</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>63</td>\n",
       "      <td>George Russell</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>3</td>\n",
       "      <td>24</td>\n",
       "      <td>30:11.307</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>55</td>\n",
       "      <td>Carlos Sainz</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>5</td>\n",
       "      <td>24</td>\n",
       "      <td>+3.995</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>44</td>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>8</td>\n",
       "      <td>24</td>\n",
       "      <td>+4.492</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>2</td>\n",
       "      <td>24</td>\n",
       "      <td>+10.494</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>11</td>\n",
       "      <td>Sergio Perez</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>9</td>\n",
       "      <td>24</td>\n",
       "      <td>+11.855</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>16</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>10</td>\n",
       "      <td>24</td>\n",
       "      <td>+13.133</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>4</td>\n",
       "      <td>Lando Norris</td>\n",
       "      <td>McLaren Mercedes</td>\n",
       "      <td>4</td>\n",
       "      <td>24</td>\n",
       "      <td>+25.624</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>20</td>\n",
       "      <td>Kevin Magnussen</td>\n",
       "      <td>Haas Ferrari</td>\n",
       "      <td>1</td>\n",
       "      <td>24</td>\n",
       "      <td>+28.768</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>5</td>\n",
       "      <td>Sebastian Vettel</td>\n",
       "      <td>Aston Martin Aramco Mercedes</td>\n",
       "      <td>13</td>\n",
       "      <td>24</td>\n",
       "      <td>+30.218</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10</td>\n",
       "      <td>Pierre Gasly</td>\n",
       "      <td>AlphaTauri RBPT</td>\n",
       "      <td>12</td>\n",
       "      <td>24</td>\n",
       "      <td>+34.170</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          No            Driver                          Team  Starting Grid  \\\n",
       "Position                                                                      \n",
       "1         63    George Russell                      Mercedes              3   \n",
       "2         55      Carlos Sainz                       Ferrari              5   \n",
       "3         44    Lewis Hamilton                      Mercedes              8   \n",
       "4          1    Max Verstappen          Red Bull Racing RBPT              2   \n",
       "5         11      Sergio Perez          Red Bull Racing RBPT              9   \n",
       "6         16   Charles Leclerc                       Ferrari             10   \n",
       "7          4      Lando Norris              McLaren Mercedes              4   \n",
       "8         20   Kevin Magnussen                  Haas Ferrari              1   \n",
       "9          5  Sebastian Vettel  Aston Martin Aramco Mercedes             13   \n",
       "10        10      Pierre Gasly               AlphaTauri RBPT             12   \n",
       "\n",
       "          Laps Time/Retired  Points  \n",
       "Position                             \n",
       "1           24    30:11.307       8  \n",
       "2           24       +3.995       7  \n",
       "3           24       +4.492       6  \n",
       "4           24      +10.494       5  \n",
       "5           24      +11.855       4  \n",
       "6           24      +13.133       3  \n",
       "7           24      +25.624       2  \n",
       "8           24      +28.768       1  \n",
       "9           24      +30.218       0  \n",
       "10          24      +34.170       0  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "season2022SprintRaceResults[season2022SprintRaceResults['Track'] == 'Brazil'] \\\n",
    "    .drop('Track', axis=1).set_index('Position').head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "326b0e2e",
   "metadata": {},
   "source": [
    "So, what can we imply from the results of all these sprint races?\n",
    "\n",
    "* Definitely, **Max Verstappen** took the chequered flag in the 1st place at Imola and Austria. Plus, the Dutch driver started these short races on pole position! **George Russell** was the other driver who snatched the win in Brazil.\n",
    "* It seemed that the Ferrari drivers **Leclerc** and **Sainz** had consistent finishes in these three races overall although they did not get any wins.\n",
    "* **Kevin Magnussen** started the Brazil sprint at the front, after a very exciting qualifying session (details below), but his pace with Haas wasn't enough for him to hold that position; at least finished 8th for a single point, though.\n",
    "* From these results, **Sainz** climbed up the most places in Imola sprint **(+6)**; **Perez** performed the most overtakes than anyone else in Austria sprint **(+8)**, and **Hamilton** gained up to **5** positions thanks to Brazil sprint. \n",
    "* In contrast, **Magnussen** and **Alonso** dropped down **4** places in Imola sprint; **Schumacher** lost **2** places in Austria sprint, putting him away from the points and, as explained above, **Magnussen** was affected in the worst shape in Brazil sprint by going down **7** places."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fb76b241",
   "metadata": {},
   "source": [
    "## 2022 Season - Driver Standings"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "02aa63bc",
   "metadata": {},
   "source": [
    "When we sum all the drivers' championship points collected for 2022 Season, what kind of Driver Standings table are we going to encounter? Of course, the answer is found below:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "1eecb07f",
   "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>Points</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>POS</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>454</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Sergio Perez</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>305</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>George Russell</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>275</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Carlos Sainz</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Lando Norris</td>\n",
       "      <td>McLaren Mercedes</td>\n",
       "      <td>122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Esteban Ocon</td>\n",
       "      <td>Alpine Renault</td>\n",
       "      <td>92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Fernando Alonso</td>\n",
       "      <td>Alpine Renault</td>\n",
       "      <td>81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Valtteri Bottas</td>\n",
       "      <td>Alfa Romeo Ferrari</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Daniel Ricciardo</td>\n",
       "      <td>McLaren Mercedes</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Sebastian Vettel</td>\n",
       "      <td>Aston Martin Aramco Mercedes</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Kevin Magnussen</td>\n",
       "      <td>Haas Ferrari</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Pierre Gasly</td>\n",
       "      <td>AlphaTauri RBPT</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Lance Stroll</td>\n",
       "      <td>Aston Martin Aramco Mercedes</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Yuki Tsunoda</td>\n",
       "      <td>AlphaTauri RBPT</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Mick Schumacher</td>\n",
       "      <td>Haas Ferrari</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Guanyu Zhou</td>\n",
       "      <td>Alfa Romeo Ferrari</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Alexander Albon</td>\n",
       "      <td>Williams Mercedes</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Nyck De Vries</td>\n",
       "      <td>Williams Mercedes</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Nicholas Latifi</td>\n",
       "      <td>Williams Mercedes</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Nico Hulkenberg</td>\n",
       "      <td>Aston Martin Aramco Mercedes</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Driver                          Team  Points\n",
       "POS                                                        \n",
       "1      Max Verstappen          Red Bull Racing RBPT     454\n",
       "2     Charles Leclerc                       Ferrari     308\n",
       "3        Sergio Perez          Red Bull Racing RBPT     305\n",
       "4      George Russell                      Mercedes     275\n",
       "5        Carlos Sainz                       Ferrari     246\n",
       "6      Lewis Hamilton                      Mercedes     240\n",
       "7        Lando Norris              McLaren Mercedes     122\n",
       "8        Esteban Ocon                Alpine Renault      92\n",
       "9     Fernando Alonso                Alpine Renault      81\n",
       "10    Valtteri Bottas            Alfa Romeo Ferrari      49\n",
       "11   Daniel Ricciardo              McLaren Mercedes      37\n",
       "12   Sebastian Vettel  Aston Martin Aramco Mercedes      37\n",
       "13    Kevin Magnussen                  Haas Ferrari      25\n",
       "14       Pierre Gasly               AlphaTauri RBPT      23\n",
       "15       Lance Stroll  Aston Martin Aramco Mercedes      18\n",
       "16       Yuki Tsunoda               AlphaTauri RBPT      12\n",
       "17    Mick Schumacher                  Haas Ferrari      12\n",
       "18        Guanyu Zhou            Alfa Romeo Ferrari       6\n",
       "19    Alexander Albon             Williams Mercedes       4\n",
       "20      Nyck De Vries             Williams Mercedes       2\n",
       "21    Nicholas Latifi             Williams Mercedes       2\n",
       "22    Nico Hulkenberg  Aston Martin Aramco Mercedes       0"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "racePoints = season2022RaceResults.groupby(['Driver', 'Team'])['Points'].sum().sort_values(ascending=False)\n",
    "sprintRacePoints = season2022SprintRaceResults.groupby(['Driver'])['Points'].sum().sort_values(ascending=False)\n",
    "for driver in season2022RaceResults['Driver'].unique():\n",
    "    if driver not in season2022SprintRaceResults['Driver'].unique():\n",
    "        sprintRacePoints.loc[driver] = 0\n",
    "driverStandings = (racePoints + sprintRacePoints).fillna(0).sort_values(ascending=False)\n",
    "driverStandings = pd.DataFrame(driverStandings).reset_index()\n",
    "driverStandings['POS'] = range(1,23)\n",
    "driverStandings['Points'] = driverStandings['Points'].astype(int)\n",
    "driverStandings.set_index('POS', inplace=True)\n",
    "driverStandings"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "29aa2942",
   "metadata": {},
   "source": [
    "Wow! We can state that Max Verstappen reached the 2022 Season championship title **by over 100 points** compared to Charles Leclerc and teammate Sergio Perez! Against all odds, the Monegasque driver had the consolation by at least finishing 2nd in the standings.\n",
    "\n",
    "In the meantime, George Russell experienced a great first season with Mercedes team, by scoring over 200 points and surprisingly, he's successfully **beaten the 7-time world champion** Lewis Hamilton! Between these two drivers, Carlos Sainz penetrated through, which does not seem bad at all, in terms of earned points.\n",
    "\n",
    "**Lando Norris** came after the top teams' drivers and he was the only one who scored more than 100 points among the rest of the drivers! His teammate, however, Daniel Ricciardo got significantly behind, finished the season with 37 points, which was roughly one third of the Briton's.\n",
    "\n",
    "Speaking of Alpine drivers, the Frenchman Esteban Ocon **outperformed his veteren teammate** Fernando Alonso after 22 races, which should be a substantial feat for him!\n",
    "\n",
    "Hamilton's previous teammate **Valtteri Bottas** completed the top 10. The other driver with world championship title, **Sebastian Vettel**, accumulated 37 points and finished 12th in his second season with Aston Martin.\n",
    "\n",
    "Furthermore, Mick Schumacher **has met with points** this season; grabbed a total of 12 points in two different locations (Great Britain & Austria). At the same time, Guanyu Zhou, the first Chinese driver in F1 history, completed the season with only 6 points."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a6cc4b02",
   "metadata": {},
   "source": [
    "## Points Progression of Top 10 Drivers Throughout The Season"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f80d998a",
   "metadata": {},
   "source": [
    "So, after all these comments, did you wonder how the drivers progressed through all of these races in 2022 Season? Surely, it will be a perfect time to represent a visual for this purpose, including drivers finished in the standings top 10, to give us a better idea:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "29bf98ba",
   "metadata": {},
   "outputs": [],
   "source": [
    "driverStandingsTop10 = driverStandings['Driver'][:10].values\n",
    "driverPointsTop10 = {};  driverPointsTop10Sprint = {}\n",
    "for driver in driverStandingsTop10:\n",
    "    driverPointsTop10[driver] = season2022RaceResults[season2022RaceResults['Driver'] == driver]['Points'].values\n",
    "    driverPointsTop10Sprint[driver] = season2022SprintRaceResults[season2022SprintRaceResults['Driver'] == driver] \\\n",
    "        ['Points'].values\n",
    "sp = [3, 10, 20]\n",
    "for driver in driverStandingsTop10:\n",
    "    for i in range(len(sp)):\n",
    "        driverPointsTop10[driver][sp[i]] = driverPointsTop10[driver][sp[i]] + driverPointsTop10Sprint[driver][i]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "f08d93ef",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1150x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tracks = season2022RaceResults['Track'].unique()\n",
    "tracksSprint = season2022SprintRaceResults['Track'].unique()\n",
    "plt.style.use('seaborn')\n",
    "plt.style.use('dark_background')\n",
    "plt.rcParams['axes.facecolor'] = '#15151d'\n",
    "plt.rcParams['figure.facecolor'] = '#15151d'\n",
    "plt.rcParams['grid.color'] = '#444444'\n",
    "plt.rcParams['font.family'] = 'Formula1'\n",
    "plt.figure(figsize=(11.5,7))\n",
    "plt.axis([-0.2,21.3,-5,460])\n",
    "c = assign_color('drivers', driverStandingsTop10)\n",
    "for i in range(10):\n",
    "    if driverStandingsTop10[i] in ['Sergio Perez', 'Carlos Sainz', 'Lewis Hamilton', 'Fernando Alonso']:   ls = '--'\n",
    "    else:   ls = '-'\n",
    "    plt.plot(driverPointsTop10[driverStandingsTop10[i]].cumsum(), label=driverStandingsTop10[i].split()[1], \n",
    "             c=c[i], linewidth=2, ls=ls)\n",
    "plt.title('Fomula 1 - 2022 Season\\nTop 10 Drivers\\' Points Progression', fontsize=19, fontweight='bold', color='#bbbbbb')\n",
    "plt.xlabel('RACES', fontsize=16, fontweight='bold', color='#bbbbbb')\n",
    "plt.ylabel('POINTS', fontsize=16, fontweight='bold', color='#bbbbbb')\n",
    "plt.xticks(range(0,len(tracks)), tracks, rotation=80, fontsize=10, color='#bbbbbb')\n",
    "plt.yticks(range(0,460,50), range(0,460,50), fontsize=12, color='#bbbbbb')\n",
    "plt.axvline(0, linewidth=1, color='#bbbbbb')\n",
    "plt.axhline(0, linewidth=1, color='#bbbbbb')\n",
    "plt.legend(loc=(0.04,0.61), fontsize=9)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "96a5ae40",
   "metadata": {},
   "source": [
    "Magnificent! From this plot above, it was revealed that Charles Leclerc **leapt forward much in the first few races**, but lost the leadership against Max Verstappen after **Spanish GP**. Then, everything was in the Dutchman's favor to obtain the championship title. To be honest, by looking at this points gap getting enlarged against Leclerc almost after every race, he was definitely racing in the league on his own!\n",
    "\n",
    "About Leclerc vs Perez, their back-to-back challenge for 2nd place started after France GP and continue **until the last race in Abu Dhabi**. Thanks to more points scored than Perez at Yas Marina circuit, the Ferrari driver finished ahead of him, while he had nothing to do with Verstappen.\n",
    "\n",
    "George Russell, by the way, performed **a long-lasting consistency** series through the first several races (up until Canada GP), by finishing in the top five! Except the first race, the young British driver never got behind Hamilton in the standings throughout the season. Similarly, as another fact for Leclerc, he **never got overtaken to Sainz**, and their gaps became widened after Italy GP.\n",
    "\n",
    "For the rest of the drivers in top 10, Norris seemed to get a **comfortable 7th place** with almost stable points gap against Ocon and Alonso. In addition, Bottas was in P8 after first several races of the season, but later **stayed behind both Alpine drivers**; and remarkably, a very long straight horizontal line appeared starting from Canada GP, where the Finnish driver could not earn points much for a long time!"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e64e2d7a",
   "metadata": {},
   "source": [
    "In the meantime, let's not forget to draw a bar chart for **total points earned by drivers from Sprint races** this season:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "9fb0bb19",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sprintRacePointsNonZero = sprintRacePoints[sprintRacePoints > 0]\n",
    "plt.figure(figsize=(10,5))\n",
    "plt.axis([0,21,10.6,-0.6])\n",
    "c = assign_color('drivers', sprintRacePointsNonZero.index)\n",
    "plt.barh([driver.split()[1] for driver in sprintRacePointsNonZero.index.values], sprintRacePointsNonZero, color=c)\n",
    "for i in range(len(sprintRacePointsNonZero)):\n",
    "    plt.text(sprintRacePointsNonZero[i]-0.85, i+0.2, \"{:2}\".format(sprintRacePointsNonZero[i]), \n",
    "             color='k', fontsize=14, fontweight='bold')\n",
    "plt.title('Formula 1 - 2022 Season\\nPoints Earned From Sprint Races (Drivers)', fontsize=19, fontweight='bold', color='#bbbbbb')\n",
    "plt.xlabel('POINTS', fontsize=14, fontweight='bold', color='#bbbbbb')\n",
    "plt.ylabel('DRIVERS', fontsize=14, fontweight='bold', color='#bbbbbb')\n",
    "plt.xticks(range(0,22,5), range(0,22,5), color='#bbbbbb')\n",
    "plt.yticks(color='#bbbbbb')\n",
    "plt.axvline(0, color='#bbbbbb')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2c7050a6",
   "metadata": {},
   "source": [
    "This clearly explains itself! Verstappen was ahead of everyone here by collecting the most points from Sprint races, **21 of maximum 24** points! Whereas Perez obtained points equalling to two thirds of the Dutch driver.\n",
    "\n",
    "Two teammates, Sainz and Leclerc became the 2nd and 3rd most points scorers in Sprint races, respectively. They were so close to each other, and the Spaniard got ahead by **just 1 point** in total.\n",
    "\n",
    "Russell was another driver to get **more than half** of the maximum available points in Sprints. Surely, the win in Brazil (+8 points) brought him to upper places there much! On the other hand, Hamilton did not get much of the points, staying at 7 points.\n",
    "\n",
    "All in all, **11 different drivers** and **7 different teams** benefited from the distribution of points offered in Sprint races, which affected both Drivers and Constructors Strandings more or less."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fe878544",
   "metadata": {},
   "source": [
    "## 2022 Season - Constructors Standings"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "02df78c0",
   "metadata": {},
   "source": [
    "Now, let's check how the final Constructors Standings of 2022 Season took shape:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "bda05e51",
   "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",
       "    <tr>\n",
       "      <th>POS</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Ferrari</td>\n",
       "      <td>554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Mercedes</td>\n",
       "      <td>515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Alpine Renault</td>\n",
       "      <td>173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>McLaren Mercedes</td>\n",
       "      <td>159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Alfa Romeo Ferrari</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Aston Martin Aramco Mercedes</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Haas Ferrari</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>AlphaTauri RBPT</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Williams Mercedes</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             Team  Points\n",
       "POS                                      \n",
       "1            Red Bull Racing RBPT     759\n",
       "2                         Ferrari     554\n",
       "3                        Mercedes     515\n",
       "4                  Alpine Renault     173\n",
       "5                McLaren Mercedes     159\n",
       "6              Alfa Romeo Ferrari      55\n",
       "7    Aston Martin Aramco Mercedes      55\n",
       "8                    Haas Ferrari      37\n",
       "9                 AlphaTauri RBPT      35\n",
       "10              Williams Mercedes       8"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "racePointsTeam = season2022RaceResults.groupby('Team')['Points'].sum().sort_values(ascending=False)\n",
    "sprintRacePointsTeam = season2022SprintRaceResults.groupby('Team')['Points'].sum().sort_values(ascending=False)\n",
    "constructorStandings = (racePointsTeam + sprintRacePointsTeam).fillna(0).sort_values(ascending=False)\n",
    "constructorStandings = pd.DataFrame(constructorStandings).reset_index()\n",
    "constructorStandings['POS'] = range(1,11)\n",
    "constructorStandings.set_index('POS', inplace=True)\n",
    "constructorStandings"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aba8f7c6",
   "metadata": {},
   "source": [
    "As a result, Red Bull obtained the Constructors champion title **by over 200 points** against Mercedes and Ferrari. That's also the end of the dominance for Mercedes which lasted for 8 consecutive seasons!\n",
    "\n",
    "About 4th place, **Alpine** successfully got ahead of McLaren with 14 points of gap between them. Going below, both **Alfa Romeo** and **Aston Martin** were tied for 6th place, but the former team claimed that position. And in the bottom, it's sad to see Williams with their points not even a two-digit number, although they weren't pointless this season."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "36df5a2c",
   "metadata": {},
   "source": [
    "## Points Progression of All Teams Throughout The Season"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ed53b52f",
   "metadata": {},
   "source": [
    "Well, if you agree with me, the final Constructors Standings above **does not give us a clear picture** of how all the teams ended up until that point! For this reason, it will be much better to display a plot like below to reflect everything about the points progression, similar to the one with top 10 drivers this season:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "c2c6156d",
   "metadata": {},
   "outputs": [],
   "source": [
    "teamNames = constructorStandings['Team'].unique()\n",
    "teamPoints = {};   teamPointsSprint = {}\n",
    "trackTeamPtsMerged = season2022RaceResults.groupby(['Track','Team'])['Points'].sum()\n",
    "trackTeamPtsSprintMerged = season2022SprintRaceResults.groupby(['Track','Team'])['Points'].sum()\n",
    "for team in teamNames:\n",
    "    teamPoints[team] = trackTeamPtsMerged[slice(None), team].reindex(tracks).values\n",
    "    teamPointsSprint[team] = trackTeamPtsSprintMerged[slice(None), team].reindex(tracksSprint).values\n",
    "sp = [3, 10, 20]\n",
    "for team in teamNames:\n",
    "    for i in range(len(sp)):\n",
    "        teamPoints[team][sp[i]] = teamPoints[team][sp[i]] + teamPointsSprint[team][i]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "8a81bc7d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA8EAAALvCAYAAABFmcfyAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjYuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/av/WaAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdd3gUVRfA4d/2bCokECC0QCihd5CqFAFRlKooHRQQFQFBLCgIqCgCdlHBAqiAKCp+CNJ7Cx1CCSENQgg1vWz7/lgyZEkPgWTlvM/D4+bOnTtnZrNxz9wyqrJlK9sQQgghhBBCCCHuA+riDkAIIYQQQgghhLhXJAkWQgghhBBCCHHfkCRYCCGEEEIIIcR9Q5JgIYQQQgghhBD3DUmChRBCCCGEEELcNyQJFkIIIYQQQghx35AkWAghhBBCCCHEfUOSYCGEEEIIIYQQ9w1JgoUQQgghhBBC3De0xR2AEEKUBKNHj+DBB9sVev+ZMz/g5MnTRRjR/atv3yfo2/cJABYsWMS2bTvv6fH79+9N7949HcosFguXL19h5849rFq1GqvVek9jyvDQQ+0ZNWp4vuparVZSU1O5eDGGPXv2s3btBiwWS471XVxcaN++DfXq1cHfvwru7m64urqSnm4iKSmJ2NjLnDp1mu3bdxMdfTHbNtRqNUuXLsz3+aSnp3P9+g2Cg0/x119ruHQp1mH7tGmvU7t2zXy1ZTabSUhIJDQ0jLVr1xMcfCrfcWSoVasGHTq0pUaNAMqU8cbFxQW1Ovf+guDgU8ya9WGBjyWEEKL4SBIshBBC5EGj0VC+fDn69n2CpKRk1q5dX9wh5UmtVuPq6kpAQHUCAqrTtGlj3nvvo2wT4QcfbMfAgU/i7u6eZZter0OvL0Xp0qWoXbsmPXv2YPv2XXz33RJMJtMdxajX6ylXzpdy5Xx54IGWvPvuh5w7F16otrRaLaVLl6J58yY0bdqIH374iQ0bNudrX5VKxfDhg+jSpWOhji2EEMK5SBIshBC3OXjwCGFh4QXa5/LlK3cnGHHPnThxMktPb82aATRsWB+AVq2aF1sSHB4ewW+//Zmvumq1mvLly9GqVXPUajV16tSmW7fOrFnzr0O9xx7rzjPPPKn8HBt7mZMnT3Pjxg3MZgsqlQpXV1eqVq1M7do1UavVPPhgOypUKM/MmR84JNU2my3f8QG4ubnRqlVzSpcuhdHownPPDef116cp27ds2c7x48H5astg0FOvXl2qVauKWq1m0KCnCAo6xI0bN/Lct0+fx5UE2Gw2c/ToCc6fv5CvJF8++0II4XwkCRZCiNscOnSEjRu3FHcYopgEB5/KMpS2fPlyzJv3PgA+Pt7FERYA4eGRhIdHFmifqKjHePLJPgA0b97UIQmuVs2fp57qC9iHTy9e/DPr12/GZrNl21blyhWZOPElypXzpVatGjz5ZB9++eVXZXtBk2CANWvWMX/+bDQaDVWrVsbXtyyxsZcB2Lp1R4HaUqvVfPjhTPz8KqDX62ncuAFbtmzPdR+dTssjj3QF7Ndg3rzPOHz4WIGOK4QQwrlIEiyEEHdR7do1efDBdtSoEaD0dqnVaiwWC8nJycTEXOL48ZOsX785zx6rihX9ePTRbtSrV4fSpUuh1Tr+CZ837zOCgg4B8PPP3xVJ/BaLhaSkZCIiItmxYzfbt+/Ktl7mOdX5mR/9yScfUrZsGQCeeWZEvuOZOPFFmjdvmmud5ORkYmOvcOTIMf75Zz3x8fH5bj8nZrNZeX37dS/pIiKilNceHo7DnR9//BE0Gg0A//67iX//3ZRrW1FRF/j00wW8++7bADz8cEf++ut/JCUlFzq+K1eukpycjIeHx80YPZQkuKCsVitRURfw86tws62sw7tv5+fnh6urEYCYmNgiTYB9fcvSpctD1KkTiK9vWdzcXFGr1aSnp5OYmERU1HkOHDjM9u07SUtLd9jX1dXIwoVf5Nq+xWIhMTGRiIgoduzYzc6de3K8geHtXZru3R+mfv26+PqWxcXFkOt85y+++IadO/dkKS9VyovOnR+iXr06VKhQHjc3V+UzkZycQlxcHCEhoWzduiPHvwN16tTmrbem5HpuGXPaY2JiOXToCGvXrr+j3zMhhMjMuf5PLoQQTkKj0TBq1HDat2+T43YPDw88PDyoWbMGPXp0ZeHCH7P90gnwwAMteP75Z9HpdHcz7Gzj9PT0oEGDejRoUI+mTRvxySdf3dMYCsrV1RV//yr4+1fhoYfa8+GH8wkLiyjusIqFSqWiQ4dbv4NXrlxVXms0Gpo0aaz8nN/5s2Fh4YSGniMgoDouLi40btwwx9/b/GjatJGSANtjLPzwYh8fb+rXr5Oprau51LbLfFMjI0ktioXPevToyoAB/bK9aaLX6/H21uPtXZpGjRrw2GPdmTv3U6KiLhToGBqNBi8vLxo29KJhw/q0adOKuXM/yzLvOzCwFpMmvawk+4XVsmUzxowZiYuLS7bbXV2NuLoaqVChPB06tGX37n0sWLCoUHPHM+a0V6/uT/Xq/rRr15p33pmdr+HtQgiRF0mChRDiLhg8eICSAJvNZo4cOcaFCxcdvgwaDAaqVatKnTq1MRgMPP/8syQlJWXpiSpduhSjR49Ap9NhNpsJCjrExYsxWb6oZ7dib16LOFWtWlnpWQ0OPpWl50alUlG6dClatmx2c/5mC7p0OZXvhKmo7d69z6FnMztarYYuXTrh5uaKl5cn48e/wKRJb2AymXPd77+mbNkyjBw5RJnLDHDo0FHltb9/FfR6+02V1NTUHFd8zk5YWAQBAdUB+3zpwiTBGo2Gxx7rrqwEbm83nLi4wvXct2jRjGHDBuLm5gbYzyk/K7ZfunQJq9WKWq3Gy8uTkSOHsmTJL6SmphYqDrAvNDZo0ADA3lt7/HgwkZHnSU+39/aqVCo8PNypV68Ofn4V8PUty+TJ45k8+U2lR9hkMuVraHmFCuVp06YVAI0bN6R//94sW7ZS2a7VannhhVFKAhwWFkFw8Kk8zy8y8rzDzzVrBvDii6OVpD4iIoqTJ0+TlJSU6VgafHx8aNKkEW5urrRu3RKbzcbnn3+d43HCwyM5cOBQtts8PNxp2LA+5cuXo1w5X4YPH8T8+Z/nGrcQQuSHJMFCCFHEypXzVRbZSU1N5Z13ZhMRkfM8zhYtmjFhwguo1WqGDHmGI0fecBjS+MADLTAYDACsWrWaVatW5zuW5OTkXL9Id+jQVkmCT548nWPd1avX8OGHs9BqtXTt2rlYk+DclCnjw8svj8XNzVUpK1u2DK1bt7rnj1oqLgaDnieeeIwePbqi1+uV8hMnTjq8b6VKeSmvCzrMNCEhMVM7pQocY9OmjRg0aADly5fLFEMSCxf+WOC2KlWqyJAhT1O/fl2lzGq1smTJMm7ciMtz/8TEJPbvP0CrVi0A6NixPa1aNWP//oMcPHiYY8eCC5QQ63Q6BgzoB9hvgL377hxOnw7Jtq5KpeL111+hfv26lCnjw0MPdWDdug0AmEzmPJPg1q1b0qNHN4eyrl078/vvfykJd2BgLWUee3T0RaZOnZHjkOncZO7V/uOPv1mx4vcc63p6ejB9+huUL1+ONm1asWHDZk6dOpNt3YiIyFzPU6vVMmfOLMqV86VZs8Z4eHiQkJBQ4PiFECIzSYKFEKKItWzZXJlrt3nz9lwTYID9+w9w+nQItWvXpHz5ctSoUZ2QkFBle4UK5ZXXZ8+euztB5yEmJpaLF2OoXLkSlSr54eLickc9ZXdD06aNGDNmpPKYnxs34pREr06d2vdFEtyuXWsGDOiHt3dppcxqtbJhw2aWLFnmMHrA1dXVoU5BOLaT/yG2FSv6MXjwAIfeabCvev3FF99y4UJ0vttyd3ejX7/edO78oDKvGSAuLp6FC3/gwIHD+W5r4cLFlCnjo/Ruu7q68uCD7XjwwXaYzWZOnw7h8OGjHD58LM8YGzSoi5eXJwAHDhzKMQEG+0Jia9duUBL4hg3rKUlwbjQaDYMHD6Br185KWcbvu4uLgYCAakovuKfnraHmly9fKVQC7OXlSZ06tQGIj0/IMzmPj09g9ep/eO65YQC0bftAjklwXsxmM8eOnaBcOV/UajXVqlXh6NEThWpLCCEySBIshBC3GTlyCCNHDinQPpkXg/L3r6yUnz0bmtMuDs6dC6d27ZqAfcXezElw5nnAmRdoutcy9/65ubmWmCRYpVLx1FN9eeyx7srNh6Cgg6xc+SezZ78D2IeU/5cFBFRjyJBnqFkzwKE8NPQcixf/4vD7lEGlUhXJsXNbXCmDm5srffv2okuXhxzmyCYlJbFq1WrWrt2Q70RcrVbTpUtH+vV7wuG5xmazmc2bt7FixSqHIbr5kZSUxPTp79OtWxcefbSbw++LVqulXr061KtXh4EDn+LixRh27NjNhg2bHT4TGapXr6a8Pncu77nomR+x5OPjk2f9jNEOAQH246Snm1i8+GdKly6lDC3PHH/m9uvXr0uXLg+xffuuLAtx5aZq1SrK67Cw8GyfNX27c+fClNfVq/vn+1jZyTxEPvP8cSGEKCxJgoUQoohl/mKe32Gmycm36mXuuSmpiiqBulOlSnnx0ktjlF4qi8XCihWrWL16DWXK3EooSsqKzs2bN3FIKDJEREQqK3sXRKlSXgwY0I927Vo7JKOXL19hxYrf72jBqqKgUqno3Pkh+vfv5ZC8mM1mNmzYzG+//VWghLV+/boMHjyAypUrOZQfOnSEn35aUaB5zbezWCysWbOOdes2KIvANWrUQFnFPEOFCuXp3783PXp04+efV7B58zaH7Zk/v4GBNdHrnyA3mVewdnEx5Fr39tEOly9f4eOPvyQsLNxhbnXm3/ezZ88RGhpGQEA1NBoNI0YMYfDgpwkLi7i57Rxnz57L9XnHmWPM/LcqN8nJKZn2L7q/aZl7/YUQorBKxrcCIYQoQQ4ePEJYWHiB9sn8BfJOv6SVlIStpKtbN5AXXxytDHmOi4vjs8++zvKM35KkWbMmyqOkMtu6dUeBkmCVSkWPHl3p0+cJjMZbK/UmJ6fw11//459//s1zIbDCDIstSDs1alTn2WeHUqVKZYfy/fsP8ssvK4iJic33MUqXLsWwYYNo0cLx8Vjh4ZH8/PMKjh8PLnjgObBYLDeHPtsXEatQoTwNG9anYcN61KkTqCSqbm6uPPfcMFxcDPzzz63F5zKP3GjSpBFNmjTK97FzurmU3WiHI0eO8cUX35CYmPtNBJvNxpw5n/Dss0OU+f86nY5atWpQq1YNpd61a9c5fPgoGzduybKaemH+pmX+vZC/aUKIkkb+KgkhxG0OHTrCxo1bijsMkYtHHnmYZ555UvlyfubMWT755EuuX79RvIHdA3q9nokTX3SYV2uxWNi8eRsrV/5BfHz+Fg1KSbnVU5efIc2ZZa6f3WiHzp0fYtiwgQ7JU2hoGD/9tLzAc0Nr1KjOpEkvO/SwXrt2nV9/XcW2bTuLLJnPycWLMVy8GMO6dRvQ6XS0aNGUvn2fUObqP/lkH7Zt23nXnmHr5ubGuHFjaNCgHmCfj/3HH3/z229/5vvc4+PjmTfvc2rWDKBly+Y0btyAChXKO7yP3t6l6dTpQTp1epANGzbz/fdL7/q1FUKI4iJJsBBCFLH8zJfLTXHO+3UGzzzzJI891l35ed26DSxduvyOr/u98PXX3/H119/dURujR49wSIAPHz7KTz+tKNCiUoDDDYOMxwrlV+bhsbc/t7Vx4wYOc+qvXr3G8uW/sWPH7gIdA+w9wK++Ol4Z/puamsb//reWv//+p0BzWouKyWRi1669HDsWzEcfvYuHhzsGg4HatWtx8ODhLPUXLVp8RzfUvLw8eeONScrw78TERL788tssj1HLr5CQUEJCQvnpp+W4ubkSEFCNgIDq1K5dk8DAWspq4l26dCQ6+iJr19oX6SrMZytzr7b8TRNClDSSBAshRBFLTLy1WE5+V841Gm/Vy29PXkmS+Uvy3Zwv3KZNKyUBTk9P59tvfyj2ea/3UqVKFWnduiVgv+aLFi1my5bthWorIiKK9HQTer0OFxcDFSv65TuRrlbNX3l9+6Jb/fr1Vl4fOHCIL774ttCLqD3ySFclAY6JucQHH8zn0qX8D6O+WxISEjh9OoTmzZsAjjcFMvcIGwz6LPsWxPPPP6skwBERUcyb91muc3cLIikpmaNHTygrLRuNRgYM6MvDD3cCoFWrFkoSnHkBMKPRNWtj2cj8N00eaSSEKGkKNv5JCCFEnsLDbz0SqUaNgFxq3pKx0itQ4PnIJUHmeYleXl651LwzHTt2UF4vWrT4vkqAAZo1a6y83rZtV6ETYLD3zh06dFj5uUuXh/K1X/Xq/srva2pqqjJ3FuzPDM5YCTgpKZnPP//mjlYRz3y+X3/9XYlIgDNkXsQq842rmJgY5XV2i6DlV5kyPkqPf2JiIjNnzi6yBDg7KSkpLFu2Uvk582JWmf+mVatWNV/D5zOvCH3uXHiRxCiEEEVFkmAhhChie/cGKY97eeih9llWsr1ds2aNlccjXbwYU2zPAr4TmR+H0q7dA3etNzjzo19iYy/flWOUZD4+3srrorhZ8tdfa5Re/Icf7sTDD3fK9b2rVKkiL700Rvn53383OfR8lilzK76YmBjS0tLuKL7Mjwy6fbGm4hQYWIvAwFqAfYj0mTO3ngV84MBhTCYTYB+5kDGXt6AyFnwD+02mzKst3y0Zz0kGuHLlVsIdHx+vLDjn5eVJ7949c23Hw8Odxx57RPm5MEPhhRDibpLh0EIIUcRiYy+zYcNmunbtjKurkXfffZvDh49y4cJFh7lxBoMef/+q1K0bCNgXvFm8+BenXIzm0KEj3LgRR6lSXjRp0oh5894nPDyC1NTsk6DMw0cLIjLyPH5+FQB44YVR7NmzP8dEy9U1f8M2Hfcx8sgjXXNty8XF4PA4mgz//PPvXU9UMq883LhxQ7y8PAu0//nz0ezdu1/5OSwsgl9++ZVBgwagVqsZPnwQjz7ajZMnT3Pjxg3MZgsqlQpXVyNVq1ahdu2aSi/gqVNn+PXXVTnGV6pUqWyvU17++ONvJTHX62+198QTj+b7WcIZdu7cQ0zMpTzrtW/fBl/fsnnWc3Fxwc+vPI0aNVCuw9q1GxxuBFy/foM//vib/v17o9FomDJlAqdPhxAWFuGwGFl2goIOEhERBUB0tP3vhVarpXz5crzxxiRCQkJzvAYZjwm7ndHoQo8e3XI9rlqtxsfHmxYtmillW7fucKizfPlvvPXWFLRaLX37PkGzZk04deq0w7lrNBp8fLxp2rSRMs981669nD4dghBClCSSBAshxF2wZMkyjEYj7du3QavV0rx5U5o3z7l+WloaixYt5siRwi14U9xMJjNffbWQiRNfxGAwUK6cL+XK+Rb5cVatWk3DhvVxdTVSpoyPwwJZRcHV1TXPxM3FxSXbOlu37rgnvXUZmjZtRNOm+X/8DthHKWROggHWrPmXuLh4hgx5Gg8PD3x9y+aaEFqtVrZs2c6PP/6U64JJPj7ehUqC//57bbbt5tX7mJ1z58LznQTXr1+3wO3v3LmH5ct/y1K+atVqdDodPXs+gkajoU6d2jkmqZldvnxFSYKTk1P488//Kdewfv26hYrRaDQW+H1Yt24Du3fvcygLCQnliy++YfToEbi4uODvXwV//9yHe+/Zs/+OF4ITQoi7QZJgIYS4CywWC199tZDNm7fRoUNbatYMoHTp0ri4GFCr1VgsFpKTU4iJucTx48Fs3LiFa9euF3fYd+TYsRO8+eY7PPJIV+rVq0Pp0qUwGAx571gAUVHnmTLlLXr06EaDBnXx9vbO9+JjImc7d+4hKOgg7dq1oUGDuvj7V8Xd3R1XVyPp6SaSkpKIjb1McPAptm/fla/E8r8oNTWVGzfiCA09x7Ztuzh27ESOdVes+J0dO3bz4IPtCAysRfnyvhiNxgI9M/e33/4kJOQsXbt2oXLlipQuXarIn7lrtVpJS0vn+vXrhIaGsXXrjhyftb13bxCnT4fQufND1K9flwoVyuPqeuucMq5PSEhoru0IIURxU5UtW9n5xt0JIYQQQgghhBCFIAtjCSGEEEIIIYS4b0gSLIQQQgghhBDiviFJsBBCCCGEEEKI+4YkwUIIIYQQQggh7huSBAshhBBCCCGEuG9IEiyEEEIIIYQQ4r4hSbAQQgghhBBCiPtG0T5xXQgh7kDHjh3o2fMRSpXyIirqAkuW/MLZs+fyvf8nn3xI2bJlAHjmmREO2+rUqc1bb00BYOvWHXz99Xd5tjd16qvUrRtYgDPI2bhxk7ly5WqRtCXg559vvX/PPz+euLj4fO2X3/fUYrGQmprK5ctXOHv2HLt27eXUqTOFjje/OnRoy5gxIwH47bc/+e23P+/6MUuK0aNH8OCD7fKsZ7VaSU1N5erVa4SFRbBvXxAHDx65BxGK4pT5syt/T4UQd0qSYCFEidCiRVOee26Y8nPNmgG89tpEXn99OpcvXym+wESJlpycnO8EuCA0Gg1ubm64ubnh71+VLl06snfvfr76ahHp6elFfrziUJgbQyWBWq3G1dUVV1dXKleuRIcObTl58jQff/wFCQmJxR2eEEIIJyBJsBCi2Gk0GgYNGgBAQkICx44F06ZNK1xdXRkwoB+ffbagWOLatm0nJ0+eznF79+4P4+bmCsC//27M9Qt4cnJykccn4OLFmELvu2PHbi5dis1xu8Ggp1KlSjRoUBeNRkOrVi1ITU27q8liRESk0vsbHHzqrh2npDt48AhhYeE5btfpdJQvX47GjRug1+upU6c248Y9z7vvzrl3QYp7KvPfY/l7KoS4U5IECyGKXfv2bZRhzKtX/8Pff6+lSpVKVKpUkVatmvPrr77ExOScrNwt27btzHV7hw5tHZLg6OjCJ2SicO7kmu/YsZujR4/nWa9x44a8+up4wP67+vvvf9210QkREVFERETdlbadyaFDR9i4cUue9apWrczMmW+h1WqpV68OderUzvXGlXBeef09FkKIgpAkWAhR7Hr06ApAerqJrVt3ALBhw2aGDRuEWq2me/eH+eGHn4ozxLuiSpXKdOr0IIGBNfHx8cZoNKJWq0lNTSMhIYGIiEj27TvA7t37sFgsDvtWrVqZ999/J9f2zWYzCQmJhIaGsWXLdg4ePJxtvb59n6Bv3yeK5JxSU9O4du0ax48H87//rcsxWdTr9XTp0pEWLZri51cBV1cjGo0mx3Y3b97Gt9/+kKX8TnqC8+vw4aOEhp4jIKA6arWaunUDld/TzGrXrsmDD7ajRo0ASpcuhdHoglqtxmKxkJycTEzMJY4fP8n69Zu5ceNGtsfKa05w5rnQObG/B9cJDj7JmjX/EhNzyWF75rnzGR58sF2283Fvj6Go3reiEhERRVDQIR54oAUA9erVyZIE6/V6unXrwgMPNKdChfK4uLg4bA8KOsi8eZ87lKnVah54oAUtWzajWjV/PDzclf1MJhOJiUlERkZx8OARtm7dkecQ+Vq1atC580PUqlWDUqW8MBgMudbPaXi6Wq2mU6cOtG3bmsqVK+Lq6uqwPTw8kjfemJ5lv4zfzZo1AyhdujSurkYAUlJSiYuLIywsgt279xIUdCjHmBo0qEenTh2oXr0aXl6e6PX6HOtaLBYGD37OoczbuzTduz9M/fp18fUti4uLAbU65/VZv/jiG3bu3KP8nN85wUXxOczP/HSz2UxiYhLh4RFs3ryd/fsP5FpfCFGySBIshChWDRvWp1KligDs3btfGVK8ffsuBgzoh4uLCx06tGXFit9JTk4pzlCL1DPPPMljj3XPdpuLiwEXFwNly5ahefOm9OjRlY8++pRr164X6BharZbSpUvRvHkTmjdvctcTErDH7udXAT+/CrRr15oPP/yYM2fOOtQpVcqLqVNfxc+vwh0f714kwQAxMbEEBFQH7PFnptFoGDVqOO3bt8l2X41Gg4eHBx4eHtSsWYMePbqycOGPDl/wi5L9PSiPn1952rVrzdy5n3HixMk7brco37eidOnSrST/9vemVCkv3nxzMhUr+uW7PW/v0kyc+BLVq/tnu12n01G6dClKly5Fo0YNeOyx7syf/znh4ZHZ1h88+GkeeeThfB8/JwaDgSlTJhAYWCvf++h0WkaNGk7btq2z3W40umA0ulC+fDlat27J8ePBzJ//OSkpqQ71hgx5mu7dC38OgYG1mDTpZSX5vhvu9edQq9VSqpQXjRs3pHHjhmzYsJnvvltyJ6cghLiHJAkWQhSrjF5gsPf+ZkhJSWXnzj107vwQLi4udO78EKtX/1McIRa5vn2fUBLg9HQTR44c4+LFGEwmE2Dv7fHy8qRRowb4+Hjj71+ViRNf4q23ZmKz2QC4cSMuXysH16hRnUaNGgD21bfDwsLZsGFLjvWDgg7mOhw38zzo7I5vMBgICKhGnTq1cXV15aWXxjBhwmuYzWalztChA5VE6vr1G+zffyDPBY3CwiKyLb948VK25UUtc/y393wOHjxA+eJtNps5cuQYFy5cVN5PsF+XatWqUqdObQwGA88//yxJSUkcPnysUPEkJSWzdu36bLcZDAZq1KhOYGAtXFxcGDv2OV5++VXlHP75Zz1ubq6UKeOj9HaFh0dy4EDWXsDM85KL8n0rSmbzrVESt783I0cOURLgsLBwTpw4RVpamkOd6OiLDvu/8so4qlWrCkBiYiKHDh3lypWrWK1WAFQqFe7ubtSpU5vKlStRtmwZpkyZyJtvvpPlRtUjjzysJMBWq5Xg4FNERESRmuqYZAIO70d2nnqqr5IAX7wYw+HDx7LMjb1xI+628x+qJMDJySkcOnSEK1euKNdMo9FQunQpmjRphKenB/Xr12X06JF8/PEXShtNmjRSEmCLxcL+/Qe5eDFGuR7ZybxNq9XywgujlAQ4LCyC4OBT2V6DzCIjz+e6/XZ363O4deuObHud1Wo1ZcuWoWXLZsoIiSNHjnHgwOECxS2EKB6SBAshik2lShVp2LA+YP8SHhIS6rB9/frNdO78EABdu3bmf/9bl+sXL2dQqlQpHn+8BwBJSUlMm/ZujvNadTod7747jUqV/Khe3Z8mTRopQ5rj4uLzTIK7d3+YevXqOJT17NkjjyT4UK5z7zLPg87t+BnDCX18vGnWrAl79+5XzqlZs8aA/Yvy22/P4urVa7meR3ZufwTW3ebp6aG8zpx4lCvnS5cuHQFITU3lnXdmExGRfY8gQIsWzZgw4QXUajVDhjzDkSNvKDc2CiI5OTnP9/+FF56jbdvWSpKTMVwzI3muU6e2knRlXpArO0X1vt0NHh633pukpFvvjbu7G02aNALsc8enTp2Z57Vu1661kgBHRkYxa9aHJCYm5Vg/o4fUy8uTfv168c033yvbdDodvXo9Btiv2QcfzOfYsRM5tpX5/bidSqWiXbsHbp5jElOnzsjSW3u7atX86dChLQCxsZeZNu3dHFdS9/BwZ86cd/H09KBly2ZUqVKZyEj7zbDWrVsq9Vau/JM///w71+PeLjCwFj4+3oD9hsPUqTMK9Tufm7v5OcxrgcRt23byxhuTAPuNRkmChXAOOU/GEEKIuyynXuAMkZFRylBaHx9vWrVqcc9iu1tatmyGTqcD7PMlc1vYyWQyOSwOlHHDIC9Gowvjx49lyJCn0Wq1WK1W5ctv2bJlKFPGp/AnkE+HDt16bmtAQDXltZubG1qt/f5rerqpwEO8i4OLiwvVq986h8zvWcuWzZV5jZs3b8/1izfA/v0HOH06BIDy5ctRo0b1uxCxXeYv4zkN7c2vkvq+qVQq6tS5NTw48/D4cuXKKe9NWFh4vhKvjLnFACtX/pFrAgywYsUqZT7wAw+0cOiJrl27ppKgnzx5OtcEOC8eHh64u7sDcOHCxTwTYIA2bVopr//3v3W5PkosISGRHTt2KT83bFhPeZ35BlBsbMEXKMy8/+XLV4o8AYbi/RwePx6sjC6oVs2/0O0IIe4tSYKFEMXC09OTNm3sPRvJySk5zstav36T8rpHjzufV1fcMieE+RkqmnlhqTJlvPOsX7VqZd59dxotWzYH7D1j8+Z9zuHDR5U6pUuXKkDEhZN5mKy7u1um8gRlGKSLi4ERIwbj5eV51+MpDJ1OR/Xq/rz00mglxmvXrjvMr/X3r6y8Pns2NEsb2Tl3Llx5fTe/NMfHJyivPTzc76itkva+abVaKlWqyOjRI6hcuRJgXxBs375bixPp9Trldebh7LmpWrWK8vr2kSnZSU1NVW6KuLi44OdXXtmWee50VFTBhvberjDnkvnGR26Pm8pw+fKtIb8ZPbf28lt/g3r3fpyaNQPydfzs9q9fvy5dujyEwZDzolqFUdyfw4zP2p1+zoQQ944MhxZCFIuuXTspX+x27NidZZ5ehr17gxg8+Gk8PT0ICKhOrVo1siy05EwyD91s2rRRnosMlSvnq7zOa0XZhx5qz7BhA5VVWyMiovj44y+4dCmWFi2aKvUyevTuFZVKpby2WCxs3LiVRx/tBkDnzg/RsWMHLlyI5uzZMEJDz3H27Dmios7flR6jzF57bWKB6qenp7NgwSKHlbozeufAcShubjIPp87cS1bUMl+/3FZwzo97/b6NHDmEkSOH5Lu+1Wrl+++XkJCQkHflXGS+YZPfZ9GmpNxasC/z5ztj2gDYe8/vtcy/W+3atVHWBshJ5kQw8wraGzdu4cEH29288eDHO++8SVxcPCEhocr7fu5cWI6902fPniM0NIyAgGpoNBpGjBjC4MFPExYWcXObvY07eexYSfkc3uu/rUKIwpNPqxDintPptMr8Lch+KHQGs9nMli3blXm0PXp0deokOHOPTk4rtuYkczKZmU6nY8SIwQ7zCbdv38XChT86LApTUvzyy69YLBZ69OiKVqtFrVZTuXIlKleuRMeO7QH76IATJ06yffvOXB/bcq+cPHmapUuXZem9v9Pk0pm+NJfU9y08PIKff/6V48eD77itwrwfmZP+zPvn9Hm9VzI/wqhr106Fbic8PJKPPvqEESOG4OtbFgAvL09l1Xmw34QID49k7979bNq0jaSkW8PIbTYbc+Z8wrPPDqF5c/vNOJ1OR61aNahVq4ZS79q16xw+fJSNG7cUeEG1++lzKIQoGvKpF0Lcc+3bt3W48/7hhzPzvW/z5k0pW7bMHfUa/Jf4+HgzceJLymI+JpOJJUt+yXXxq+JmtVpZtmwlmzZtpXXrljRt2ohq1fwdvoi6uhpp0aIpLVo05fTpEObN+/yOe/lut2PHbi5dyn6Oo9VqJTU1lStXrhEaeq7EzIEtTvfyfTt48EiOQ3itVitpaelcv36dc+fCc3wPi1vmZwcXd0J8p44ePcHkyVNp2bIZzZs3oW7dQIdeb7VaTfXq/lSv7s9jjz3CV18tdJiCER8fz7x5n1OzZgAtWzanceMGVKhQ3uE5wd7epenU6UE6dXqQDRs28/33S+/6aBAhxP1LkmAhxD13J8+bVKvVdOvWhaVLlxVhRPdO5i91s2fP4+jR44Vuy8+vPK+/PkmZv3f58hU+/fQrQkPD7jjOeyE29jJ//vk//vzzf+h0Wvz9qxIQUJ2aNQOoX7+uMr+udu2aPPvsUObP/7xIj79jx+47uv6Aw9Dowsjv/M6S5F68b4cOHXFYFO5eMZvNBe4VzJzgZn4/r1+/oby+m8Pec5L5b82kSW/kughffphMJnbu3KOs31CunC81alQnIKA69evXUZ737uHhzrhxzzNx4uvcuHHDoY2QkFBCQkL56afluLm5EhBQjYCA6tSuXZPAwFpK73WXLh2Jjr7I2rUb8hXb/fg5FELcGUmChRD3VOPGDahUyf7czvPno5VH5+RFq9XQs2cP1Go1Dz3Unt9++yNfK6SWNMnJt+YP3sniMBqNhpdfHqskwCdOnOTTT7/K87mtJZXJZFa+IK9dux6VSsVDD7VnxIjBaDQamjZthE6nK3HDuxMTb13vjOeg5sVovFUv8+JVzshZ37ecJCYmUaqUFwBGoysmU84rKmcwGm/Nn83c65152kb9+nXRarX3NNnKPOc189DoonLpUiyXLsUqSXHlypUYN24MFSv64eJioEmThmzevC3H/ZOSkjl69ARHj9pXzTYajQwY0JeHH7YP3W7VqkW+k+D7/XMohCg4WR1aCHFP9ejRTXm9evUafvvtz3z9W778d2VVXldXIx07diiuU7gjmR/hknkl2oKqWTNAWRU3Ovois2fPc9oEODs2m43Nm7cRGWlfVVej0TgsNFRShIffehRLjRr5WzXXcYXw8KIOKd8yP3O7qIbrOsv7lpPM72fNmnk/NsdgMCiL26WkpDr0tl6+fEUZaeDj482kSeOoVatGka+MnJOLFy8pr+/kb01+RUWdd5iGUdCVklNSUli2bGWm/fPfe+7Mn0MhRPGQJFgIcc9UrlyJ+vXrAvYekz179hVo//Xrby2g1bVrZ6ecZ7dvX5Dy+pFHulKlSuVcaucs82OOrl27fsfDAUsiDw93fH3LAPZH0ZTE3pq9e4OUZPKhh9orNyZy0qxZY2rXrgnYb4icPXvurseYk8w3TcqWLVNk7TrD+5aTzH+T+vbtlWcC379/L6WXdc+e/Vk+h4sWLVbOv2HD+kyf/gbff7+An3/+Lsu/t96aUqTnkvlvTf/+vfH2Ll2k7Wcnc2KZ+ZFL+d//1o2HK1fyv+6DM38OhRDFQ4ZDCyHumR49uiqvt27dgclUsKGBBw8e5urVa/j4eOPrW5YWLZo6PBfUGZw7F86WLdt56KH2GI0uzJr1FidOnCQq6jxpaem57rt16w6uXLF/sczoaQP7UMvx48cSFXUhx33vRU9QfnXr1sXhUTTZ8fDwoEmThri52evt2LHboeeypIiNvcyGDZvp2rUzrq5G3n33bQ4fPsqFCxcdhr4aDHr8/atSt24gYO+FXbz4l2Jd+Cc6+qLyeapTpzbjx4/l/Ploh5iCg09x8uRp4L/1vuVk5849dOvWhWrVquLvX4V582Zz6NARrl695nAe7u5u1KkTSJUq9mQrLi6e3377I0t7ly9f4a23ZjJy5BAaNqx/r04DsCeGx48HU79+Xby9SzN37nscO3aC6OiYPIen//PPv8rUjcDAWtSrVyfX+jqdjoCAakq9uLh4Dh8+AtiHi2ceAZQdtVqNj483LVo0U8q2bt2R5zlmcObPoRCieEgSLIS4J7y8PGnTphVg/+JRmNWLrVYrmzZtpX//3oC9J9XZkmCw9w7ZbNCxY3u0Wi2NGjXI8xmeYE9IMpLgCxei2bp1h/JYpJYtm9OyZfO7GndR6datM+XLl8t3/dOnQ/jll1/vYkR3ZsmSZRiNRtq3b4NWq6V586Y0z+WtSEtLY9GixRw5cuzeBZmDJUt+Ydy451Gr1Td/h7LWuZUE/7fet+xYLBbmzv2UV155iWrV/PHwcKdDh7a57nP58hXmz/88xxXEL1++wuzZ8/D1LUutWjUoXbpUtnN0y5TxUT7PRXXjYN68z3nxxdE0bdoIg8GgPKIoL1u37nBIgvv2fSLfx0xOTuazzxYoazYYjcYC7Q+wbt0Gdu8u2EghZ/4cCiHuPUmChRD3RNeundHp7M/IPXbsBLGxlwvVzubN2+jduydarZbatWsSEFDNaVZDzmCxWPj22+/ZuHEzHTq0pWbNGvj6lsHFxaVAz7v85pvvOXz4GJ07P0iFCuUpVcrrjp+XWRKkpaURH59AVNR59u4NYseO3SW6p8ZisfDVVwvZvHnbzfczgNKlS+PiYkCtVmOxWEhOTiEm5hLHjwezceOWEvPIpX37DjBz5gf07PkINWvWwM3N1eGxNQXhbO9bTq5du85bb82ideuWtGzZHH//Knh6emAwGAD7KslJSclERkZx8OBhtm7dkecoDrD3Vub2d69Fi6ZKElxU8/tTU1P56KNPqFevDm3bPkD16tXw8fHGaHQp9Pt8O7PZTEpKxu/3STZs2OywMnZeMj/yKjQ0jK1bdxAcfKrAcTjz51AIce+pypat7Hz/hxJCCCGE+A958cXRymiZ+fO/YP9+5xvlIoQQzkJ6goUQQggh7gJ//yo0a9Yk1zpubq7UrFlDWVTq8uUrHDp05F6EJ4QQ9y1JgoUQQggh7gJ//6oFmg977dp15s377J4+T1gIIe5HkgQLIYQQQhSD9HQTiYmJnD9/gcOHj7Jlyw5SU1OLOywhhPjPkznBQgghhBBCCCHuG0WzNKAQQgghhBBCCOEEJAkWQgghhBBCCHHfkCQ4k4oVK7B06UIqVqxQ3KHkSK/X0bBhLfR6XXGHkitniNMZYgTniNMZYgTniNMZYgTniFNiLDrOEKczxAjOEaczxAjOEaczxAjOEaczxAjOEafEKEmwA3d3N9RqNe7ubsUdSo40GjUqlQqNpmS/dc4QpzPECM4RpzPECM4RpzPECM4Rp8RYdJwhTmeIEZwjTmeIEZwjTmeIEZwjTmeIEZwjTolRkmAhhBBCCCGEEPcRSYKFEEIIIYQQQtw3JAkWQgghhBBCCHHfkCRYCCGEEEIIIcR9Q5JgIYQQQgghhBAlisWiv2ttSxIshBBCCCGEEKJEsFgqc+3SAnZuXkJKUte7cgztXWlVCCGEEEIIIYTIJ5tNRXrqAFITxwOuAFgtZVHfhW5bSYKFEEIIIYQQQhQbq6UiyQkzsJha3iwxU7X6b6SalpGaWvTHkyRYCCGEEEIIIcQ9Z+/97U9q4itk9P6qNacpXfYdqlZP58wZy105riTBQgghhBBCCCHuKaulws3e3wdulpgxuC7E4Po1Or0G8L9rx5YkWAghhBBCCCHEPWGzgSm1LylJk8DmDoBaE4Krx1Q0uuCbtTR3NQZJgoUQQgghhBBC3HVWSzlSEt7BbGp7s8SCwXURBtcFqFSmexaHJMFCCCGEEEIIIe4ae+9vL1KSXgWbBwBqTShGj6lodcfveTySBAshhBBCCCGEuCusFl9SEqdjTm9/s8SC3vgjLm5foFKlF0tMkgQLIYQQQgghhChSNhuY0nqSkvga2DwBUGvCMHq8hVZ3pFhjkyRYCCGEEEIIIUSRsVrKkJL4Nub0jhkl6I2LcXH7HJUqrVhjA0mChRBCCCGEEEIUAXvv76OkJr6OzeYFgFoTcXPu7+HiDS4TSYKFEEIIIYQQQtwRq9WHlIS3MKd3zihBb/wJF7dPUalSizW220kSLIQQQgghhBCiUOy9v91ITXwTm600AGp1lH3ur/5AMUeXPUmChRBCCCGEEEIUmNXqTUrCm5jTuyplepefcXH/GJUqpRgjy50kwUIIIYQQQgghCsSU9jApCVOx2bwBUKnP4+rxNlr9/mKOLG+SBAshhBBCCCGEyBertRSpiW9gSntEKdO7LMfFbR4qdXIxRpZ/kgQLIYQQQgghhMiTKa0TKQlvY7P5AKBSR+PqMQ2tfk8xR1Yw6uIOQJRsQUE7iY2NdPgXEXGGbds28NRT/e64/U8/ncumTf9ku23VquUOx714MYwTJw6yZMl3BARUL9BxYmMjGTVqJABt2jxAbGwkdevWyVIvY9vt/0JCjvHLLz9SvXq1gp9kDnI796Jy+zWMjY3k/Pmz7Nu3nRdfHJNjvZyudXbX5tSpI3z99Rf4+flRqVLFbOtk/hcUtPOunrMQQgghhChaVqsnyfHvkxz/iZIA61xW4lG6j9MlwCA9wSIfVq9ew6JFPyg/azQaOnRoxyeffMSJEyc5fvzEXTv23r37ef/9OcrPXl6evP76q3zyyUc89lifu3bcCRNeJSwsXPnZaDTyyisvs3Dhl3Tq9EjOOxbAp59+iZubW5G0lZvbr6FKpaJevbrMmjWN0NBz/PPPv9nWy+laL1r0A6tXr1F+9vDwYMKEF3n33Xfp0qUHvXo9qWzr1Okhxo0by8CBw0lKSgIgLa34H5AuhBBCCCHyx5T2ECmJb2OzlgVApY7B6DENnX5XMUdWeJIEizxFR19k1y7HOzzHj5/g5ZdfIDCwFsePn8DX15d33nmTdu3aUq6cL5cvXyE4+ARTpkzl3LkIAFq3bsU777xFYGAtXFxcHNrKybVr17Icu2HD+gwbNgSAypUrceDALoYOfVZJ5gBmzpzGI490pXnztoU65yNHjnL8eLBDWa1aNXjrrdcB+Prrz+nd+3FlW0pKKseOHefVV98gOPgUAHq9nsmTJ9CnzxNUrOiHWm0feDFnznzmzJnPuHFjqV+/rpJUx8ZGOhwvKSmZw4eP8OabbytljRo1ZObMt2nQoJ5DAn38+Ikck/PsruHOnbt57bVXCAysrVy3vK51hrCwiCz1tFo133//LRUqlHfYVrlyJcCeYMfHx2cbnxBCCCGEKHlsVk9SEl/FlPaEUqZz+R2j2xxU6sRijOzOSRJcgtis7lgsuQ+3TVfriI/zIz3NDbPJVKjjaDRhhfrF1Wq1aDQaNBo1Dz7YHoALF6IB+Oabz1Gr1Uya9DoJCQmUKePNq69OZN68D+nV6ynKlPHhp5++Z926Dcye/RGpqfYHZo8bNxZf37I5HlOlUmMwGJSfvby8aNmyxV3tfc4s49hGowstWjRTznfu3E/48celSr2uXTszduxoFi1aQJs2HbHZbEyePIGBAwcwa9ZsIiIisdlsAERFnc/xeJl7WQ0GPa+//iozZ05nxozpuLq68tNP33Hw4BGefXYsKSn2ZefzuoYZNBoNWq0WlQoaNmyAu7s70dEXle13cq3T003KMYQQQgghhHMzpbUnJXEaNms5AFTqSxjd30Fn2F7MkRUNSYJLCJvVnfhr68DmmWu9JODapTs8mCoeT+9uBUqE+/fvw2efzVN6M81mMytW/Mbevfvx86tAmzYP8OSTA9m9ex8ARqOeRo3qMWbMGLRaLZ07d8TV1ZVXXplCcvKtZ4YNGNA/1wSue/eHiYoKcSi7fPkKjz3WuyBnXCi//vqTkuwDXLt2nUmT7D3BZ86EcOaMPa5x415g9Ohn2bRpC506PUSlShWJijpPr149Wbr0F37+eXm+j3l7L2vdunWYOPFlAJo0aYyvry9vvfUOERG3eo3zuoZg74VfufJndDqdUrZp0xb++utv5ef8XmutVuOQLHt4uNO3by+SkpJyTfCFEEIIIUTJZrO6k5L0KqbUW9//dIY/Mbp/iEr93xnVJ0mwyJeQkLOYzWbCwiJ4/vmXiIq6QFxcHACVKlUEYMWKn7Ld19XVFT+/CiQkJDgkwPmxa9ceZs58X/nZaDQyYcJLLFjwOd269Szk2eTPyZOnefDB9nz55dcsXvwzkZFRmM1mZbuLi4FPPplL9+5deeGF8cTEXKJTp4fw8vIkKsp+Xa5cuXpHMZhMZjw83AEoV84XgOvXbxS4ncjIKFJSUrh+/TrDh48mLCw8S2z5vdbTp09l+vSpDvvGxMQwa9YspYdfCCGEEEI4F1N6G1IS3sFmLQ+ASn35Zu/v1mKOrOhJElxCqNSJeHp3y3M4tMGgo0oVPyIjo0lLu3fDoQ8fPsobb0zjo4/ep1u3h5k795NM7dmHwL7wwnjOnQu7GaeeKlUqEBl5kcTEws8ZiIuL48CBQw5lOp2O5cuXUK2av0NSWtRmzHiPhg3rM3ToIH7+eYXDsby8vFixYil+fhXo1as/hw4doU2bB+5aLABxcfa7b0ajscDzay9ciGbUqBf56afvGThwAOPHT86m/dyvdcZCYQsWLOTPP1cDYLPZuHEjjkuXYqhRo0ohzkoIIYQQQhQnm9WNlKRJmFJvPflFZ/gbF/f3Uf+Hen8zkyS4BFGpE9Gqj+VaR28w4OmVhN4QjsV6b1fZXbz4JwIDazFp0ngOHjzE5s3bAJSE7MqVq0oSZTQaSEq6wZkz4VitVqKjL+Lh4YHR6EJKyp31FtpsVsCeoN24cePma/0dtZkds9nMiBGjWbduNd99t4Bu3R5XVjieOnUKfn4V6Natp8O82szOn7+Aj493kcVz7NgxUlJSGT58MAsWfKtcx/zOw920aQszZrzHO++8RVDQQZYu/SXPfTJf6wznz1/IkiwbjQaEEEIIIYRzMac/QHLCO9isfgCoVFcxesxAZ9hUzJHdXZIEiwJ5660Z1KxZgy+//JSHH36U8+cvEBx8iqNHjzF9+lQ8PDy4cuUKBoOOSpXK4+Liwd69QWzcuJnk5GTmzp3Nr7+uUh6Tk9dcVm9vb4ceVoPBwOjRI4mLiyMiIpK0tDTCwsIZPnwwVqsVi8XeW+vvX7VIzvfatesMHjyC//1vFZ988hHPPvu8Eldqaiq1a9dSjlW/fj2Hff/8828GDRpAWFg4UVHnHRbGKszc2djYy0yZ8ibvvz+TiRPHOWzL70JhX331LbVr1+K9997h2LETHDlyVNmW17UWQgghhBD/DWazC3HXXiMlMXPv75qbvb83ii+we0SSYFEgFouFZ58dyz///MGiRQvo2bMv6enpDBnyLG+//Qbvv/8OPj4+ygJap0+foX37Lly5cpVBg0Ywbdqb/Pjjt/l+RFKrVi34448VAFitVq5fv8GxY8cZOvQ5JZF+/vlxzJ49iy+//Nih3cjIqCI551OnzvD88y/z44/fMnbsKL788hvmz/+UTz75iKVLv3PoJc1szpz5qFQqpkx5hYoV/RzK58yZX6hYli37lT/++Ivq1athNBoBePXVicrr/Jg8+Q0CAqqzaNFXPPzwo8oc4/xcayGEEEII4bxsNkhLacWBPW+Tlnpz5WfVNYwes9AZ1hdzdPeOJMEiV9k9ZzcuLo42bTo6lEVHX2TMmJeUn41GA7Vq+XPmTLhStmvXngItZtW791P5qnfw4GG6dn0s1zq+vrfmq+7atQdf3ypKjJllbLvdv/9uoEKFW/O1jx8PpnPnHrkeMy0tjZkz33dYbCqzceNeyTHGDN98s4glS5YqcTZp0sgh4fX1LUv9+nVZvvy3bI+R3TU0mUz07Nk3z3rZyS7G3CxfvpLly1cWaB8hhBBCCFG0rNbSmFJ7kp7aG6ulhlKu1f+L0eNd1OprxRjdvSdJsBBO5PPP51Ozpv0Pl8Vi4fLlK6xdu4G5cz8u3sCEEEIIIUSJYrOpMae3JT21F+b0jsCt0YtaXTxunu9jU/2NSlV8MRYXSYKFcCJt23Yq7hCEEEIIIUQJZrVUIj21N+mpT2CzlnPYptEewc3zL+o3PM25c6dIKdjTS/8zJAkWQgghhBBCCCdmsxkwpT1MempvLKaWDttUqqvoXFajd1mFRnsOo9GAVutfPIGWEJIECyGEEEIIIYSTsdnAYq6LKbU36Wk9wOaZaasFrX4nepff0eq3olKZiy3OkkiSYCGEEEIIIYRwElarF6bUR0lP7YPVUtthm1odic5lFXqXv1BrYospwpJPkmAhhBBCCCGEKMFsNhVm0wOYUvtgSusE6DNtTUVnWI/e5Xc0ugOoVLbiCtNpSBIshBBCCCGEECWQ1VKB9NRepKf2wmb1c9im0R5H5/I7esM/qNSJxRShc5IkWOQqKGgnVapUznbbypW/M3bs+HsbUC7atHmAP/5YQadO3Tl+PLi4wxFCCCGEEKLAbDY9prROmFL7YDa1AtTKNpXqxs1Frv5Aoz1TfEE6uUIlwR06tGXMmJG51omPT+DXX1exceMWAAICqtG9exdq1apJqVJeqNVqEhOTCA+PYPPmbezbdyBLG97epenRoxsNG9anTBlv9Ho9KSmpREdHs3fvAdav34TJZCrMKYgCWL16DYsW/ZCl/PLlK/c+mFwcPx5Mr15PEhYWXtyhCCGEEEIIUSAWcy3SU/tgSn0Mm80r0xYrWt1udC6r0Bk2oVJJ/nOnCpUEX7gQzT//rM9xu06npUuXjjzxxKNs3LiFhx5qz8iRQwB7onL48FEsFive3qWpW7c2jRo1YOPGLSxatFhpw9+/Cm+8MQl3d3dCQ8+xe/d+UlNT8fT0oEaN6gwa9BRt2rRi5swPSEtLK8xpiHyKjr7Irl17st2m1+uZOHEcffo8QeXKlUhKSiI4+BRz5swlPv4aAHXq1Gbu3Nk0bNgAvV7PP/+sY+jQ57It/+GHpSxfvkRp32q1EhV1nq+++pbvvvtRKR8xYgjjxr2An18FAIYOfZa4uHjpCRZCCCGEEE7DZvUgPa2HfZErc12HbSr1BfQuf6B3+RO15mIxRfjfVKgkODQ0jNDQsBy316pVgy5dOnLhQjSlS5di+PBB2Gw2pk17L0svnYeHO9Onv0Hnzg9x5MgxgoIOATBmzLO4u7vz448/s27dBod9NBoNY8c+R+vWLXnyyT4sWfJLYU6jxHG1Wqlsyf3OjkFto3JcHLa0VNJM6YU6TpRGR7JanXfFmzQaNQaDIUu5xWJhwoQXGTCgP7NmzSY6+iIGg57+/fuwaNHXDBs2DICPP/6IxMREnnlmGGazmWvXruVYHhNziV69nlSO4etblvfem8Hs2TM5ceIke/fuIzCwFu+9N4P335/D/v32EQSnTp0mMLB2lhiFEEIIIYQoSWw2FRZTC9JTe2NK6wK4ZNqahs6w0f5MX91eWeTqLinyOcE6nZZRo4ZjtVr5/fe/aNWqOTqdjr1792c7TDUhIZF16zYwbNgg2rZtTVDQIapUqUyVKpWIi4vLkgCDPflatWo1rVu3pE2bVv+JJNjVauX7a9F42PLxi37p/B0dK0GlYri3X74T4WefHc6zzw7PUr5y5e80b96MZct+ZfXqNUp5TMwl+vXrQ0BAAIcOnaB+/brMmPEe27btcNg/p/KMXudGjRoyffpUoqLs59uhQ1v27t1HvXp1UavV/PDDUuLi4gp07kIIIYQQQhQHq6Uc6alPYErthdXquOaOWnsSvcsqdIb/oVbHF1OE948iT4L79u2Fn18F1q/fREhIKO3atQYgJibn51TFxFwCwM+vPAAVKtj/Gxt7Oc99vLw88fBwJyEhfyui6fU6NJrskz+9Xqf812jM2vN5NxmtFlSogLt/t0eFCqNRj02tybuuSsVff/3tMBQ5w9Wr19i0aS0TJ45j4sRxWba7u7tjMOjR6XRotdos1zSncoAnnujJhx++x/r1G3nllSls3LgWb+/SGI0GXF2NALi46EhPv7WvwaC7+V99vt4/g0Hv8N+SyhnidIYYwTnidIYYwTnilBiLjjPE6QwxgnPE6QwxgnPE6QwxgnPE6QwxQtY4bTYtaSkPkpz4OOmpDwC3vn+rVAkY3f7B6P4nOv3pzK3c0xhLosLGmJKSv2myRZoEV6vmz6OPduPKlav88stKwD5nFMBsNue4n8lk35Yx5DYjGc0oz07m9gwGQ76T4MDAaqhUqmy3lStXFoAKFcqiVlvz1V5R+qhGVXyTku76cWLd3Kikzd9br9NpMZvTSUq6kWWbi4sanU7Hb7/9xtatW7Nsj4qKompV+1LuZcuWplYt/yx1sisfNGgQgwcPZsmSJSxdupSqVSug02kpXdqTWrX8KV++DAABAVVIynS9KlWy3zypWtUPszklX+eXUd8ZOEOczhAjOEeczhAjOEecEmPRcYY4nSFGcI44nSFGcI44nSFGcI44nSFGgDI+LYmJ7kxsTAdMJi+HbaVKH6N8xY34lN2HRpMxvdH/nsfoDNeyoDEeOXI670oUYRKs0WgYPXoEGo2G775bQmpqalE1XaROnQrLsSfYarWXX7x4mbNnw+9hVPlnMOipWtWPiIho0tIKNycYrue7pslk5vr1eM6cCc92e1xcHJcuXeHPP//JMU6Ay5evZ9vG7eVNmjRm6NChTJnyJsuWrcg2joYN7atSh4ZGEh+foNTx9vYFICIiOsd4c4qx8Nfy7nOGOJ0hRnCOOJ0hRnCOOCXGouMMcTpDjOAccTpDjOAccTpDjOAccTpDjDarAVP645hS+5AQX9Nhm1oTg9Htb4zuq9FqL3AjHm4U06hnZ7iWdzvGIkuCe/fuSZUqldi5czeHDx9VytPT7UFrc+l51Ons2zJWeU5PNzmUZydzewVZHTqj7dy2paeb8t2VXlzS0tLvSYw2mw2z2ZLjsZYtW8nAgQMID48gJCQU2805zQaDjri4q8ovrclkzraN28vd3NwB0Gp1NGnSRCk3GPRKHBnvU0qK4zVISzPd/G/Brs29upZ3yhnidIYYwTnidIYYwTnilBiLjjPE6QwxgnPE6QwxgnPE6QwxgnPEWVJjNJsakZIwC6vFP1OpCa1+M3rj72h1u1GprJhMUFKe8FpSr2VmdyvGIkmCq1SpzOOP9yA+PoHFix0Xqbp4MQaA8uXL5bh/+fL2YazR0TEO+/j6+qJSqZTEKrMKFeztxccn5HsotCh6M2e+T1paGi+++Dx+fhUcbk707du3wO1t3ryVX3/9nddftz8eSwghhBBCiJLKZjOQmvQC6SlDAfuoUle3SDS6laD5A7U6/yMwxb1zx0mwWq1m9OgRaLVaFi/+OUtCundvEE8/3Z9mzRoTEFCd0NBzDts9PT3o3r0LADt37gYgMjKKyMjzVKlSie7du2R5JrFGo6FPnydu7pP982tF0WjevG2u29PT05k1azazZs12KDcaDcpcX1/fKtnum1252WzmhRfG53rM5ctXsnz5yizlu3btyfFYQgghhBBCFCWzqcHN3t/q9gJVPJ6l59GoyXFCQsJLfC/r/eyOk+DHH+9BtWpVOXjwMLt27c2y/fr1G3z//VJGjhzC9Omvc/x4MLGxl7FYrHh7l6JevTq4ubmxYcNm5RnBAAsWLOT11ycxePDTtGnzAJGR50lNTcXT050aNQIoV86X0NAwfv111Z2eghBCCCGEEELki82mJy1pLGkpw8hY7Vmr24HRYzqu7jdQqfyLMzyRD3eUBFes6Efv3j1JTk7hu++W5Fhvy5btREZG8cgjXalduyZ16waiVqtJSkrm7NlzbNq0jf37DzjsEx4eyeuvT6NHj240bFif1q1botfrSE1N5cKFi6xfv5n16zfmuoK0EEIIIYQQQhQVs6nezd7fGvYCVSJGtw/RuazC/gCae/uYVVE4d5QEX7gQzdCho/NV99y5cL744psCtX/t2nWWLl1WmNCEEEIIIYQQokjYbDrSkseQljyCjBRKq9uF0WMaak1M8QYnCqxInxMshBBCCCGEEP8lFlMdkhNmYbXUsheokjC6fYTOZeXN3l/hbCQJFkIIIYQQQojb2Gxa0pJHkZb8LKADQKPbg6vHNNSa6OINTtwRSYKFEEIIIYQQIhOLuRbJ8e9itQTeLEnGxX0eepcVqFRZH98qnIskwUIIIYQQQghBRu/vSNKSR3Or93c/rh5vo9acL97gRJFRF3cAwjmMHDmMc+eC+frrz7Nse/HFMZw7F8yiRQuKIbL8+/TTuWza9E9xhyGEEEIIIUogi7kGiTd+Ii35RewJcAou7u/j5jVSEuD/GEmCRb5MmjSeP//8m969H6dVqxZKuYeHB1OmvMIff6ymZ88eNG7csBijFEIIIYQQomBsNg2pSc+SeH0FVnNdADTaA7h798Vg/FmGP/8HSRIs8lS1ahV8fLz54YelxMRcokOHdsq2Nm0ewGAwMG/ep6SlpSlJsF6vZ9iwYWzbtpGLF8M4e/Y4f/21kpYtmyv71qlTmzVrVnH+/FliYyP58cdvAShXrhxff/05J08eJjY2UvnXps0DAPj6+vLVV59w7FgQsbGRnDhxgG+//RI/vwpK261bt+Lff/8mMvKMsv+AAf0dzqtaNX9mzJjBoUN7iYkJ58iRfcyd+wGenp4A+PtX5ddff+LcuWCHOEp6j7cQQgghhMgfi7k6STeWkpb8Mvbe31Rc3D7ArdQINJqo4g5P3CUyJ7gEsboZsVSukGsdtUFHXBU/0gBTmqlQx9FEXUSdlJLv+oGBtQE4e/YsQUEHHBLZVq1aEBV1nvPnLxAWFqHUffHF5+natSvvvjub8PAoDAY9/fv3YcmS72jRoh3x8fF8/PFHJCYm8swzwzCbzVy7dg2ARYu+Qq/XM2nSa1y/fkM51vHjwQB8883nqNVqJk16nYSEBDw9PZg48WU++2weffs+TZkyPvz00/esW7eB2bM/IjU1FYBx48bi61sWAJ1Ox/fff8uFC+eZMGEycXEJ+Pj48NZbrzFjxluMHz+Z9957h/LlyzNy5BjS0tKVOK5evVaIqy6EEEIIIUoKm01DespQUpNeAPQAaLSHMXq8hUYbXqyxibtPkuASwupm5NpPH2HzcMuz7qU7PJYqIQnvgZPynQjXqVOb6OiLJCUls3//ASZPnoBarcZqtdKqVXP27QsCIDQ0VEmCe/V6nH///Zc1a9aSkmJPIGNiLtGvXx/q16/Lrl17qF+/LjNmvMe2bTuUY1WqVJGWLZvz5JMD2bJle5ZY/Pwq0KbNAzz55EB2797nUD5z5jS0Wi2dO3fE1dWVV16ZQnLyrXMcMKC/kgQ3bdrkZk/wO+zevU+JsUmTRjz++KMAlC9fjitXrrBr117S0tLyfX2FEEIIIUTJZTFXIyVhJhZzo5slabi4fYbeuASVylqssYl7Q5JgkafAwNqcPRsKwP79B3B3d6du3TqEhJylYcMG/PbbHwCEhIQyePAzgD0pHThwIAMHDszSnpeXfbixTqfDdtsUi4oVKwJw5crVbGOpVMm+fcWKn7Ld7urqip9fBRISEhwS4Kzt+AHw/fffZ9kWFxcHwFdffcv8+R9y6tQRjhw5yv79B/j77384cuRoju0KIYQQQoiSyWZTk54yiNSkcYABAI32KEaPqWi0YcUbnLinJAkuIdRJKXgPnJTncGiDQUeVKn5ERkaTdo+GQ9epE8iuXbsBOHLkGKmpqbRs2Qx3dzcMBkOmnuBz+Ph44+vri06n47fffmPJkmUOQ4kBzp49V6i4ATQaDQAvvDCec+ey/rFKTEzMVztarf1X/9VXX+XMmTCHGM1mCwC//vo7e/bs49FHu9OyZXOeeeYpXn75BT78cB4fffRxoc9BCCGEEELcWxZz1Zu9v01ulqTj4vYFeuOPqFSWYo1N3HuSBJcg6qQU1KdyTxANRgNegOFMONaUuz9EV6vVEhBQjR9/XAqAyWTi6NHjtGjRHA8PDxISEggOPgVASMhZwD58Oi4uDpPJxKFDh0kpQJwXLlwAwMfHJ9vt8fHxgL2n+MCBQ9nWiY6+iIeHB0ajCykpqdnWyejtvXLlSq4xRkWdZ8GChSxYsBC1Ws2CBZ/xzDNPSRIshBBCCOEEbDYV6SkDSU16GXABQKM9gdHjTTTa0OINThQbSYJFrmrWDECv1yvDoQE2b97K0KGDqFy5Env27MNqtc+dyOjhDQysxcqVq3jqqX4cO3aS4OBT2DKNe963Lwiz2Zzt8c6fv0BQ0AFef30ybm6u3LgRp2w7fjyY4OBTHD16jOnTp+Lh4cGVK1eU7cnJyRw+fJSNGzeTnJzM3Lmz+fXXVcp83oz5wADbt+/iwoVoxo8fj0Zj4PLlW8Ovr1+/zsmTp6lfv66yUjSA0WikenV/wsLCC3MphRBCCCHEPWSxVLb3/pqa3SwxYXD9EoPr99L7e5+TJFjkqk6dQOBWLy/A4sU/0bdvL6pV82fEiNFKeXx8PLGxsQQG1mb69Jm4ubkwZsxzVKhQXhl+DBAY2Ihr167neMyRI59nxoy3mTfvQ7y9SyvlvXo9ya5dexgy5FnefvsN3n//HXx8fFCr7U/6OnnyNA8++DBXrlxl0KARTJv2Jj/++C0uLi5KG8ePnwAgKSmJoUNH8u670/nww/coXfrWcf79dyODBg1n5sxptG3bWim/fv0GBw8e4o03phX4OgohhBBCiHvDZlORnvo0qYkvA64AqLXBuHq8hUZ7pniDEyWCJMEiV7///ie///6nQ9nly1do06ZjtvXr17c/PsloNLBo0SKmTHkrx6HGvr5Vsi2/eDGG554bm2NM0dEXGTPmpVzj3rVrD9269cy1TkjIWaZOncqZM+HZxti791O57i+EEEIIIUoWq6USyQkzsJha3CwxYXD9BoPrQlSq7EciivuPJMFCCCGEEEIIp2bv/e1PauIrKL2/mtO4er6JRnu6eIMTJY4kwUIIIYQQQginZbVUuNn7+8DNEjMG14UYXL+W3l+RLUmChRBCCCGEEE7HZgNTal9SkiaDzQ0AtSYEV4+paHTBxRydKMkkCRZCCCGEEEI4FaulHCkJ72A2tb1ZYsHgugiD6wJUKlOxxiZKPkmChRBCCCGEEE7BZoP0lF6kJL0KNg8A1JpQjB5votWdKObohLOQJFgIIYQQQghR4qWlenP98gTSUzP1/hp/wOD2JSpVerHGJpyLJMFCCCGEEEKIEstmg+TExwjaMxmLOWPubxhGj6lodUeLOTrhjCQJFkIIIYQQQpRIFrM/KYlTsZha3SyxojcuxsXtc1SqtGKNTTgvdXEHIJzH55/P59y5YIYNG5RlW+XKlYiNjeSRR7rmu73C7FNQTz3Vj9jYSId/MTHhnDx5mC+//JRSpUrdtWPfidjYSEaNGqn8PHjwYOrWrVOMEQkhhBBC3Ds2m57UpLEkXv9NSYCNrtF4l3sOo/tcSYDFHZGeYJEvHTt24PHHH+XrrxcxbdqbrF69hqtXr91Rm7Gxl+nV60lOnbr7DzAfOHA4SUlJys+enh5Mnz6V8ePH88wzw+768e/UkCFDOHLkBAcOHC7uUIQQQggh7ipz+gOkJL6J1eJ/syQdN88faNJsM2dDQ0hJKc7oxH+B9ASXIFaDBya/xrn+SyvfiLhSgaSVb5Rn3Zz+WQ0eBY5t1KiRrFmzjg8/nEdKSiqDBj2da/1+/fqwfv16IiJClB7YoKCdvPLKy6jV9l87X9+y/PHHClq1agHA5MkTsvTYHjq0h3HjXrit7d5s2bKOyMgzREaeYdu2DTz99JO5xrN373527dqj/Fu7dj3btm3H398/3+2uWrXcIb4LF0LZtm0DnTt3BMBgMGTpdT5x4gAffvguBoMByLn3e+bMaQQF7cwSd5s2DxAREQLA3LkfKO1Wrlwp1/MVQgghhHA2VqsPyfHvkxT3rZIAa3R7cC/dF49S36DWyKOPRNGQnuASwmrw4NoLu7AZvfKse+kOj6VKicP7izao0xLyVb9atap07Pgg/fsPxGQysWLFSoYOHcRnn32F1WrNdd/hw0dx/foNVCoVtWrVYNq0qVy+fIXFi3/Ktn5SUhIDBw5Xfm7UqAHvvPMWe/bsZd++INq1a8Onn85lxoz3OHHiJACNGzdi/vwPCQsLZ8+efbnGk5GMenl50qBBfS5fvgyQ73b37t3P++/PAUCtVvPUU/346qtPady4JSkpqfTqdStp1ul0vPXWawwbNpiLF2OYP/+zXGPLzvHjwQwfPorvv/+GL7/8mn//3QjYe9GFEEIIIf4LbDYVptS+pCRNAJsnACrVVVzcP0Jn+BuVCsBQrDGK/xZJgkWehg8fSmRkFNu323sqly5dxtixo+ne/WHWrFmX675BQUFcunQFgJ07d/PAA6144onHckyCzWYzu3btUX7etWsPr776Ck2bNmbfviD69u3F/v0H+P77JUqdffuCGDVqBO3bt801Cd6zZyvVq1dTfo6JiWH27NkA+W732rVrDvElJiby1FP9CAgI4Nix48q2MmV8WLRoARUqVODIkWN06NCuUElwfHw8QUFBAISGnnM4thBCCCGEs7OYa5KS8DYWc2OlTOeyEhe3+ajV8cUXmPhPkyS4hFCnJeD9RRssPgG51jMY9FSpUoHIyIukpRXueWiaq6H57gV2dTUyYEB/vv32O6UXNSrqPPv3BzFixNA8k+DbxcZepnHjhgXax2w24eFhH8JdqVJFWrduRVRUSJZ6np6eubZz6tRpqlevxttvz2Dt2vXExl6iZs2qd9Su2WwGwMPDXSmrX78uP/64kISEBLp168mrr06kfv26eZ+oEEIIIcR9wmYzkpo0hvSUIWSkJGpNCEaPGWh1h4s1NvHfJ0lwCaJOS0AdfTjXOgajAS/POAwx4VhT7v6qeP369aFUKS8mT57A5MkTsmyvUSOAs2dD73ocGTQaDbt27WHmzPezbLt0KTbXfV966RVq1Ahg7NjR/P77n9hstiJpN7OOHR/ku+++Ztu2HYwdO46kpOR87yuEEEIIcT8wpXUgJfENbNaKN0tScHFbgN64GJXKXKyxifuDJMEiVyNGDGH16jV8+eXXWbZ9993XjBgxhDfemJbv9nx9y3L+/IVCxxMfH4+vry8HDhwq8L4JCQkMHjyCtWtX8803XzBo0LAiaTeDwWDgm28+Z82atbz44gSHJDtDYmIiADqdPt/tWq1Z2xFCCCGEcDZWSzlSEqdgTn9YKdPqt2F0fw+1pvDfD4UoKEmCRY5at25F3bp1mDJlarbJ4bJlvzJy5FDeffeDHNto3ry5sjBWzZoBdOv2MNOnzyx0TCtW/MYPP3zL669PZteuPZhMt1YJPH36TJ6PbQoLi+DZZ59n2bLFvPbaJH79dXmRtAug1Wrx8PDAbDbTunUrpdzXt6zy+vr1G4SFhTN8+GCsVisWi/1up79/1RzbTUxMJD4+nnbt2hAaGgbAgQOHSEuT5+MJIYQQouSz2dSkpzxNavJLYHMDQKW+hNH9A7T69TcXvhLi3pEkWORoxIihhIScZe/e/dlu/+WXFbz88gs8+WRfNmzYnG2d77//Rnl94UI0X331DYsX/1zomNasWce4ca/w/POjGDPmOYxGl0zxjuHvv9fk2cb27TuZOnU6H3zwLjEx0Zw5E14k7SYlJTF9+ixeeun5LI9sOn78hPL6+efHMXv2LL788mNcXG4dJzIyKse2P/74Y0aOfJbevZ8AoFmzNkRFnc8zJiGEEEKI4mQ21SUlcRpWc8b6KBb0xmW4uH6GSp1UrLGJ+5ckwSJHzz03Ntft4eERlC/vr/zs61slS50GDZoqq0PfLirqvMM+c+bMZ86c+Vnq1azZwOHnZct+ZdmyX3ONLcPy5StZvnxllvLvv1/CsmUrqFXrVvx5tdu791NZyo4fD3Y4hwULFrJgwcJcYzp48DBduz6Wa53br+X27dtZtGgJKfdgHrgQQgghxJ2yWd1ITX6J9JQBgAYAtTYYo/s7aHXBxRucuO9JEiyEEEIIIYQoEjYbmNMfJiVxCjZrOXuhKhEX18/QG5ehUlmLN0AhkCRY3CUrV/7O0aMHiY/P36OYhBBCCCGEc7NaKpKS+Abm9A5KmVb/L0b3D1Br8v+0DSHuNkmChRBCCCGEEIVms2lJSxlKWtJowAiASn0Bo/u76Azbizc4IbIhSbAQQgghhBCiUMymxqQkvI3VUvNmiQm9cQkubgtQqVKKNTYhciJJsBBCCCGEEKJArFZPUpMmYErtp5RptIcwesxEow0pxsiEyJskwUIIIYQQQoh8sdnAlPYYqYmTsNl87IWqeIxu89C5/I5KZSveAIXIB0mChRBCCCGEEHmymP1JSXwTi+kBpUxnWI2L+0eo1deKMTIhCkZd3AGIkm/kyGGcOxfM119/nmXbiy+O4dy5YBYtWlCgNj/9dC6bNv1TVCHeE82bN+XEiYNs3rwWb+/SDtvatWvDiRMH2bp1PWXLlimmCPPnqaf6ERsbiaenZ3GHIoQQQggnYLPpSU16nsTrvykJsFoTjpvXs7h6viEJsHA6kgSLPE2aNJ4///yb3r0fp1WrFkq5h4cHU6a8wh9/rKZnzx40btywGKO8+8aOHcXRo8fw9vZm6NBBDtvefHMKQUEHKVPGhyef7FtMEQohhBBCFC1zeisSr/9GWvJYQA+kY3D9EvfSfdHq9xZ3eEIUiiTBIldVq1bBx8ebH35YSkzMJTp0aKdsa9PmAQwGA/PmfUpaWppDEqzX6xkxYgQ7d24hJiac2NhIYmMjmTx5Qr6O+/XXnyv7xMZGEhFxhr///p26dQOVOh4eHixc+BXnzgUTGxtJSMgx5divvTaJffu2c/FiGGfPHuevv1bSsmVzZV97myGsX7+eiIgQwsJOsWrVcqpXr5ZjTI0bN2L79p3s3r3X4Tp4enrSuHFDVq/+HydPnqZRI8ebAf369WbLlnVERp4hMvIM27Zt4Omnn8zXebz55hR27tzCunXriIgIcbiG+TnPSpUqsnTp94SEHFOu5WefzXOIz8PDg9mzZ3Lw4G5iYsI5deoIv/zyI7Vr1wLAYDDw8cdzCA4+5PCenDx5OF/vpRBCCCGcj9XqTXL8+yTFLcRq8QdAo9uDe+m+uLh9hUqVXrwBCnEHZE5wCeKht1LT25RrHYPBRhXPOFx9U0lLK9wfn5BrOhLS83f/IzCwNgBnz54lKOiAQ4LVqlULoqLOc/78BcLCIpS6AOPHv8QjjzzCe+99QEjIOWw2+yIJUVHn83XcuXM/4ccflyo/d+3ambFjR7No0QLatOmIzWZj4sSXaNmyOaNHv0RSUhIWiwWACRNeZMCA/syaNZvo6IsYDHr69+/DkiXf0aJFO+Lj4wH48cclHD16mPPnYwAVr7/+Kh98MIv+/QdmicfDw4NKlSoSEhJKWlo6b731OlqtFrPZTIsWzdBoNOzbF0Tz5k1p06a1sl+7dm349NO5zJjxHidOnATsyfT8+R8SFhbOnj37cjyPyZMnMHDgAD788COsVhNRURdJSzMp1zA/5/ntt1+i02l5+eVJ3LgRB0CnTg8xbtxYJcb3359Bw4YNePvtmVy7dg2j0cioUSNYvHghrVp14LnnhtOnzxO88MIErl69quxnNpvz9V4KIYQQwnnYbCpMqX1JSZoANvvUKZXqKi7uH6Ez/I1KVcwBClEEJAkuITz0Vg48G00pl/ysqHceWuRdKyc3UlU0W+iXr0S4Tp3aREdfJCkpmf37DzB58gTUajVWq5VWrZqzb18QAKGhoQ5J8OOPP8o///zD8uUrSUlJK3CMZ86EcOaMfXn9ceNeYPToZ9m0aQudOj1EpUoViYo6T/369Th06Ajr12902Ldv394sW/Yrq1evUcpiYi7Rr18f6tevy65dewAID4/k6NGjnDkTTkpKGnXr1mHixHE5Xgew3wy4dCkWV1cjDRrYj9+qVQtiYi4RGRnF2bPnGDToaSVB7tu3F/v3H+D775cobe3bF8SoUSNo374te/bsy/E8evXqydKlv7B8+Upq1fJX4szveUZFnadZsyYMGDCETZu2KHUqV66kvFar1TzxxGO8/vrbDsdXq9X89NP3VK5ciXLlypGamsbevfuJjY3N/Y0TQgghhNMypQeQdOM1LOYmSpnOZSUubvNRq+OLMTIhipYkwSJXgYG1OXs2FID9+w/g7u5O3bp1CAk5S8OGDfjttz8ACAkJZfDgZ5T9/Pz8uH79+h0d28XFwCefzKV796688MJ4YmIu0anTQ3h5eRIVBVqtFsh606BiRT8mThyXbULr5ZXzYlAmkxkPD49stwUG1iY1NZWIiChUKhVJSUm0bNlcSYIzbgacPXsWvV5PzZoBnDx5mkqVKtK6dSuiorI+Ly9jYaqczqNSpYpcuXI1S3l+z9NiqQCQa+Lq61v25pD2D5g374Ns2/npp1/o27cXhw/v4eTJUxw4cIgNGzazfv1GpYdfCCGEEM7LanXhXMggrsY8RkZ6oNaEYPSYgVZ3uFhjE+JukCS4hEhIV9NsoV8+hkPrqVKlApGRF+/JcOg6dQLZtWs3AEeOHCM1NZWWLZvh7u6GwWDI1BN8Dh8fb3x9fYukt9DLy4sVK5bi51eBXr36c+jQEdq0eSDvHQGdTseCBQv588/VWbadPXuuUPHUqVObsLAIrFYrAIcOHaFFi+Z8991iGjduxLvvfuDQfmBgbU6ePI1Go2HXrj3MnPl+ljYvXbqz65TXeQYG1sqzDXsCDjNmvMfu3VkXtwgNPUdKSiqtWnWgR49utGnzAO3bt2XYsMFs27aT/v2fkURYCCGEcGLm9JYkXJuJ1eJ3syQFF7cF6I2LUalk6pP4b5IkuARJSFdzMMaQax2j0UByKS/OxF4nJeXuTsrQarUEBFRT5uaaTCaOHj1OixbN8fDwICEhgeDgUwCEhJwF7MlibGws0dHRlCpVqtDHnjp1Cn5+FejWrSfR0RcLtO+NG3Gkp6dz4MChQh//dnXqBCo94mDvFX/66Sdp3LghRqML+/btB+D8+QskJSUrQ8Pj4+Px9fUtVCznz1/Ax8c7x+15neeFC9EA+Pr6AsHZ1omLsw9tSkhIzDXGhIQEli9fyfLlKwEYMWIos2fPpEqVykRERObndIQQQghRgthsWtKSXiQtZTgZa+UaXHagd52FWnOheIMT4i6TJFjkqGbNAPR6vUPyt3nzVoYOHUTlypXYs2ef0jN6qwe0Flu3bmf16jU8/fSTHDx4lNDQMIeFsTIWdvLw8OCRR7pmOe6xYyfw9vYmNTWV2rVr4e9fFYD69evlK+7ly1cydOhAzp8/T0hIqENP5b59QYVa0CkwsDY//HBrXu/mzVuZMOElRo9+lri4OI4dO6FsCwsLU5LgFSt+44cfvuX11yeza9ceTKZbPf2nT5/h6tWcn6v3559/M2jQAC5cuACY8fb2VRbGioo6n+d5nj9/gaCgg7z22iQMBr2S8NasWUOpl5CQwD//rGP8+BdJSUnh/Plb/9OzWKzs3buPypUrOcwj1mq1tGjRlKSkJJkjLIQQQjghi6UyKfEfYDE3AEClvkFgvUVcu/ELqakFX8tFCGcjSbDIUZ069scRZfTyAixe/BN9+/aiWjV/RowYrZTHx8cTGxurJH8ff/wpPj6lmDjxZfz8Kij15syZz5w58wH745d+/HFhluNOmPAq8+d/yieffMTSpd+h0+kKFPfMme+TlpbGiy8+j59fBWXIL0BgYCOuXSvYXOVy5crh7V3a4WbAnj37WLt2PZ07P8R7781RVnQG+/zoJk0aAbBmzTrGjXuF558fxZgxz2E0uij1RowYw99/31rU6nZz5sxHpVLleA3zc56jRr3A7Nmz+PTTuXh5eWV7nHHjJjF16hTefHMKvr5l0Wg0ACQlJVGtWh0GDOjv8GirpKRkQkNDGTFiDCkpqfm9jEIIIYQoZjYbmNJ6kpL4JtjcAPtjj7zLvkPZcm5cjyvmAIW4R1Rly1aWCX031a5dg2nT3uCdd97j9Omzee9QDIxGQ7YrBZc0zhCnM8QIzhGnM8QIzhGnM8QIzhGnxFh0nCFOZ4gRnCNOZ4gRnCPOkhSjzepGSuJbmNIevVliwuD2BQbj97i66kpMnDkpSdcyN84Qp8QoPcFCCCGEEEL8p5lNDUmO/wCb1T69Sa2Owuj5Klrd8WKOTIjiIUmwEEIIIYQQ/0E2m5q05JGkJY8l42u/zvAXRvf3UKmTijc4IYqRJMFCCCGEEEL8x1gt5UhOeA+LqaW9QJWI0X0Wepf/FW9gQpQAkgQLIYQQQgjxH2JK60RKwgxsNvuimBrtEVw9X0OtOV/MkQlRMkgSLIQQQgghxH+AzeZCauJk0lOfvFlixeC6EIPrV6hUBX9EpBD/VYVOgvV6PV27dqJFi2b4+VXAaHRBrVY71Pnii2/YuXMPAA0a1KNLl47UqFEdDw93ABISEgkJCWX9+k2cOHEyyzH8/MrTo0c36tYNxNu7NFqtluTkZCIjz7Njx262bt3h8GxUIYQQQggh7kcWcy2S4z/EagkAQKW+hKvHa2j1QcUcmRAlT6GSYKPRyNtvv0bVqpU5c+Yse/bsIz3dlKVedPRFAPr2fYK+fZ8gLS2N48eDuXr1GgA+Pt40alSfli2bsWzZSv7669YzUxs1asCECS+g1+sJDj7FiRMnMZlMlCpVitq1azJq1HBatGjK3LmfYbVaC3MaQgghhBBCODWbDdJTniE16RVAD4BWvxGjxzTUannwrxDZKVQS3L9/b6pWrcw333zPli3bc61bvbo/ffs+QUJCIlOnzuDy5SsO28uWLcOsWW/z5JN9OHLkOBERkej1esaMGYler+ejjz7l4MHDDvsYDAamTJlAkyaN6Nq1M2vXri/MaYgC+vzz+fTo0Y0ZM97jhx+WOmyrXLkSBw7sYujQZ/nnn38BGDhwID17Po6PjzcAvr5VCnzMVauW07Zta4ey9PR0oqMvsnjxT3z++YJCnk3xCgraSZUqlbPdtnLl74wdO/7eBpSHNm0e4I8/VtCpU3eOHw8u7nCEEEIIAVitpUlJmIk5/cGbJam4uH+I3uVXVKpiDU2IEq1QSXCbNq2Ij0/IMwG2130AgK1bt2dJgAEuX77C1q07eOyx7rRt+wAREZE0aFAXLy9PQkPDsiTAAGlpaaxe/Q+BgbVo1661JMH3QMeOHXj88Uf5+utFTJv2JqtXr1F69LPj6+vLsGHD+OyzL9m4ccsdHXvv3v28//4c5WeVSkW9enWZNWsaoaHnlKTb2axevYZFi37IUp7d56S4HT8eTK9eTxIWFl7coQghhBACMKW3JiXhXWzWsgCoNWdw9ZyMRnuumCMTouQrcBLs4eGOp6cHcXHxDB78tMM2m81GUlISMTGxBAUdwGQy4+dXHoCYmNgc24yJuQSAn18FACpUsO9z6VJ+9ilfoPj1eh0ajTrHbRn/NRoNBWr3XjEY9A7/vVeef/451q3bwGeffcGgQU8zfPhgvvjiVi+si4s9Hr1ex+DBTzN37gcAvPTSWF56aSwAtWrV48yZEw7tXr58hbVr/2XmzHdJS0vPcly1Ws2NGzc4dOiQQ/nBgwd57bVXaNCgHlu2bMXT05M335xChw7tKV++HMnJyZw8eYrZsz8iKOgAAB999AH9+/fJ9TyvXr3GmjVrmT59JmazfQGJhg0b8MYbr1KvXj1cXY3ExFzif//7hzlz5mEy2acBPPlkP559djhVq1ZFq9UQGRnFr7/+xoIF32Y7XF+lUhEbG5vlvDIYjQb0ej3jxr3AE088RsWKFZVz+uCDjwgKOghA7dq1mD17FvXr10Ov17Nu3XpGjRqbbflPP/3C4sXfKcewWq1cuHCBb7/9jh9/vNWzP2TIQMaOHaN8Dp977nni4+NZvvwnHnnkcYKDs87fL67fy4JyhjidIUZwjjglxqLjDHE6Q4zgHHE6Q4zgHHHejRhtNi0JN8aSnDBEKXN1/wWP0p+hUqUDBf8Oe79ey7vBGeL8L8eYkpKWr3oFToINBvsHy8vLk0ceeTjHetev3+Cdd95Hp7MnlhkJRXYytmWcpF5v/29GgpGdjG0uLi4FiB4CA6uhymF8SLly9jtpFSqURa2+9/OMtWYz7kn5eHB5XBylSrkBboU6TqKbG2Zt/t96Pz8/OnRoz2uvvUa1ahXZtGkjw4YNZuPGf5UEr1y5cjfr+nLy5EnmzZvHxIkT+fLLLwkNDQXA378ir7zyitKuVqvl2WefZfDgZzCb0/j555+zHNvV1QWr1UytWv6o1Wo0Gg0qlYqaNWvi7u6O1WqiVi1/3nzzTQIDA/nuu++4evUqer2e9u3bs3Tp94wcOZLLly/j5eXOhQsXmDdvntL+8OHDMRqNfPnllwB4e3szceJEbty4yl9//YWHhwc//PAD27dv5/333yM9PR1fX1+ef/55XFx0LF26lBYtWvDee+/x448/smjRQqxWK5UqVeLFF5/H09ON33//Pct56XRafHxKUa9ezSzbrFYrFouFoUOH0q1bNxYtWsTly5fR6/V07tyZ77//liFDhpCUlMRnn80jOTmZqVOnYrFYiI+Pp1Yt/2zLExNvOFx/b29vXnjhBWbMmEZCwg2OHz+Ov78/77zzNj/88AMnTthvWFy7Fou/vz8AVav6YTan5Pi7UrWqX47bShJniNMZYgTniFNiLDrOEKczxAjOEaczxAjOEWdRxZicVIFTx8eTnGBf/Eqni6NWvS/wKXMQuPNj3E/X8m5zhjj/izEeOXI6X/UKvTr0uXPhTJ06I0u50Wikd++ePPZYd7p3zzlJLi6nToXl2BNstdrLL168zNmz4fcwKtBbLTx7IQIX291PvlNVahZWrEq6WpOv+k899QxRUedZvnwVAF99tZD+/ftTtWoA69bZh6InJ9tvSkRHx7J37yHS0ixMnDiRXbv2sX37TqWt06fDAPuiaF999TmlS3tz7NhxAgPrcuZMeJZjJyenkpiYTOnSvvz00w/KTRWALVu2sWjREkwmE23btmX69FksXXorkV6+fBXHjh2gZs1Adu7cT1xcIjduxLNy5V+A/aZLnz59SEpKVsoAunbtRpUq/pw5E07v3k9gNBqZNOkNLJZbN3Lq1q1PrVqBnDkTzqhRz3Po0BHefnuWQ+xly5anXbv2zJ49j9uZTGZ69epFr169smxbtepPxo+fRPv2HVi27FeWLl1OlSoViIy8yIEDR/n33/9hMLhx6NAJqlevzvvvf6i8NxlyKj9w4BgADRrU59tvJxMREYnFYqVKlWr8/vvf1K3bELVazfz5XxAfH6/sp9XabzZFRERn+z4ZDHqqVvUjIiI62x79ksIZ4nSGGME54pQYi44zxOkMMYJzxOkMMYJzxFlUMdpskJLUk4Trk7HZXAHQu+zFy+dtrl67Si4z1O5pnHeTM8QIzhGnxFiIJDij5y+nyfYpKSls2rSVxx7rjp9feaXHVptLz2PGtowTTE+3/zdzwnO7jG2pqakFij+7Vaxv35aebsp3V3pRsVqt2Lg3j3uyYSM1JZ00dfY3AzJzdTXSr18fvv32OzJG9YaEnGP//iAGDXqGP/74G4DU1Iz3zn7tMq6lyZT1WtavX5cff1xIQkICXbs+xquvTqR+/brZXnOr1YrVaiUkJJSUlBSuX7/O8OGjCQsL58qVq4B9GL1Op+P8+QtZ2rh69Rrly5cnJSUNi8WCzWbNUsdqtTmUpaeb0Ov1pKSk4evri06n4+TJI1liO378BCkpaZQrV46YmJgs7UZHX+SRR7ple142m41Vq/7im28WZdl29eo1UlLS8POr4DCcPDMXFyMpKWnodDrS081ZjpFTOUCfPk8wf/4c1q1bz7hxE9mxYxOurm6kpKRhtdp/B1NS0hz2TUsz3fxveq6fjby2lxTOEKczxAjOEafEWHScIU5niBGcI05niBGcI847idFm9SAl8W1Mad1vlphwcfsUvfFH0tOL9rvjf/1a3kvOEOf9HGOBk+CkpCSsVivu7u451skY3qzRaDh/PprGjRtSvny5HOtnzD3MeKTSxYsxAHnsU+7mPjEFO4ESKk2t5gtvP3wsOSfpYL8rktErWNi7Ilc1unwlwAD9+vWhVCkvJk+ewOTJE7Jsr1EjgLNnQ/N97I4dH+S7775m27YdjB07jqSk5Hztd+FCNKNGvchPP33PwIEDGD9+cr6PeSe0Wi2JiYn07z8wy7bk5PzFnpPY2MscOJD9nGCwJ7ILFixk7dp1Wd7zs2cLt+jFK6+8zOTJE5gzZz5z535SqDaEEEIIcW+YTY1Jjv8Am9U+JFStCcfoMQWtTp7UIMSdKHASnJaWTlhYBAEB1ahbN5Dg4FNZ6vj72x+FEx8fz65de+jRoysPPdSODRs2Ext72aGur29ZHnqoHVarlZ079wBw7FgwcXHxVK/uT4sWTdm//6DDPgaDgZ49ewCwY8fugp5CiZWmVhOtzn0xA6PBgKeXFzGG66RY7/7a9yNGDGH16jV8+eXXWbZ9993XjBgxhDfemJavtgwGA9988zlr1qzlxRcnYLMV7O7lpk1bmDHjPd555y2Cgg6ydOkvgH0BNZPJhK+vr0N9jUaDj483kZHnC3SczOLi4jEajZw8eYrk5OznwkZHR1OjRkCWcl/fskRFFf7YN27EkZ6ezqFDh0lKusGZM+F3dCesWbMmTJnyChMnTlGunRBCCCFKHptNQ1ryc6QljwHs09d0Lqswur+PSpXz2hxCiPwp1Jzg5ct/49VXx/PGG5MIDj7FpUuxpKebUKlUlC7tRaNGDbFarWzbtotz58L57bc/6dv3CT74YAbHjwcrj9bx8fGmfv26GAwGli1bSUREJGAfDr1gwSLGjx/LhAkvcvLkaaKjL2IymfDy8iIwsBalS5fi4MEj/PvvxqK7GsJB69atqFu3DlOmTM22x3LZsl8ZOXIo7777Qb7a02q1eHh4YDabad26lVLu61s23zF99dW31K5di/fee4djx05w5MhRLBYL//vfWl58cQxxcXHExl7GYNDz6KOPAPDPP+vy3f7t1qxZy2uvvcKXX37C0qXLHHp/L16MISwsnD/+WM2yZYuZMOElgoIOYrVaqVbNn969H2fOnPmFPvby5SsZOnQgly5dIi0tCW9vX2VY8r59QbkuNpcdb2/785qNRqPy6DIAF5eSuRK6EEIIcT+yWsqTHD8bi7mZvUCVgNF9BnqXtcUbmBD/IYVKgo8fD2batHfp0aMrNWvWoFatmuj1OtLTTcTFxXHkyDHWr9+k9BL/9tufnD4dQteunQgIqE6jRg0ASEhI5OjRE6xbtyFLj/KRI8d44413ePTRbtSrV4eAgGpotVqSk5OJirrAr7+uYuvWHQXuTRT5N2LEUEJCzrJ37/5st//yywpefvkFnnyyLxs2bM6zvaSkJKZPn8VLLz3P008/6bDt+PETOeyV1eTJbxAQUJ1Fi77i4Ycf5fr1G0ye/AbTpr3B9OlTlUckBQefYsCAIcow+8K4cCGap58eyuuvT+arrz7By8tL2bZo0Q+8/vrbbNq0hfHjJzNmzHNMmPASWq2WyMgoPv30K7799vtCH3vmzPdJS0tjzJjn8POrgEZzayGzwMBGXLt2vUDtbd68lV9//Z3XX5+U63QGIYQQQhQPU9rDJCdMB5snABrtIVw9X0OtiS7ewIT4j1GVLVtZssibateuwbRpb/DOO+9x+vTZ4g4nW0ajgVq1/O94aOzd5gxxOkOM4BxxOkOM4BxxOkOM4BxxSoxFxxnidIYYwTnidIYYwTnizG+MNpuRlMQpmFL73iyxYHD9BoPr16hUlhITZ3FyhhjBOeKUGO/gEUlCCCGEEEKIO2Mx1SE54QOslmoAqNQXcfV4Ha3+QDFHJsR/lyTBQgghhBBC3GM2m4r0lMGkJo0H7I/+1Or/xdXjHVTq+GKNTYj/OkmChRBCCCGEuIesVh9S4mdhNrW7WZKM0f0DdC6/o7r7D/8Q4r4nSbAQQgghhBD3iCmtHSkJs7DZfABQa0/i6jEFjTasmCMT4v4hSbAQQgghhBB3mc2mIzVpAukpg5UyvXExLm4fo1KZijEyIe4/kgQLIYQQQghxF5lN/iRen4XVEgiASnUVo8dUdIYdxRyZEPcnSYKFEEIIIYS4C2w2uHihC1dihoHNBQCtbgdGz6mo1VeLNzgh7mPq4g5AOI/PP5/PuXPBDBs2qFD7T548gfr16xZxVDlr3rwpJ04cZPPmtXh7l3bY1q5dGw4c2MM333xDmTI+RXK8Nm0eYNSokVnKP/10Lps2/VMkxxg2bBDnzgXzxRcfF0l7JVGpUl5s2bKOEycO0LJlc4dt5cqVY8uWfzlx4iCtW7cqpgjzp3LlSsTGRvLII12LOxQhhBDFwGKuzo0r8wg5OeZmAmzCxe1DXL3GSgIsRDGTJFjkS8eOHXj88UdZtOhHpk17Ex8f7wK3MXnyBOrVu3dJ8Nixozh69Bje3t4MHeqYuL/55hQOHjxEqVKl6Nu3d5Ecr23b1owaNSJL+aeffsmECVPuuH0vLy+mTXuTb775jt69H6dz54533GZJ1Ldvb0qXLs3Ro8d59dWJDttGjRqBu7sbJ0+e4sUXxxRThEIIIUTOrJZKJMe/S+L1VaSldABAow3HvdQzGFyXoFLZijlCIYQkwSJfRo0ayZo16/jww3mkpKQyaNDTDtu9vUvz3XcLOHPmGLGxkUREhLB+/XpWr/6dNm0eIDY2EoDPPptHbGwksbGRVK5cCYAWLZqxevVvnD17nNjYSA4f3sv8+R9SqpSX0n7GPhn/wsJOsWrVcqpXr5ZjzI0bN2L79p3s3r2XDh3aKeWenp40btyQNWv+ITw8nAYN6ivb1qz5w+E4584F88svP1KpUkWljp9fBVasWEpExBliYyPZtOkfVq1azuTJE6hSpbKy76efzgVg3LixzJ//wR2dC8DTTz/FjRtxfPjhPNav38To0Vl7nevUqc2aNas4f/4ssbGR/Pjjt3Ts+KDD8WJiwtm/fwcjRgxV9nvqqX5Z4soa50mWLVtM+fLllP3KlSvH119/zqFDe1m/fj0RESHExkbSps0DAFSoUJ6FC7/i+PEgYmMjOX36KMuXL6F27Vo5nmeTJo04duwE//zzLy1bNkev1yvbHnywHdu27WDXrj00btzQYb/GjRvy++/LOHv2ONHR5zhwYBfTpr2BTqdT6kyaNIEVK1YocWaMTHjyyb5s27aBCxdClfNdtWq5sl+/fr3ZsmUdkZFniIw8w7ZtG3j66SeV7UajC++/P4OjR/cr+x84sCvLuY0ePZKdOzdx4UIoYWGnWL/+f3Tr9rCy/fnnn2Pnzi2sXbtWiTE2NpLAwJyvlxBCiJLBailHSsJbJFz7C1Pa49i/ZqdRqcpf+JQfhEZ3qrhDFELcJHOCSxCrTovF0zXXOmqDnjijnrTSHphcDYU6jiY+GbXJnO/61apVpWPHB+nffyAmk4kVK1YydOggPvvsK6xWKwBTprxCy5bNefHFCSQmJmIw6KhUqTynToVy+vRZBg4czk8/fc+nn37Jpk1bAIiNvUzZsmVYtmwxGzZsZt68T0lLS8Pb25spU17hk0/mMnTos0ocixb9wOrVawAwGPS8/vqrfPDBLPr3H5glZg8PDypVqkhISChpaem89dbraLVazGYzLVo0Q6PREBR0kE6dHiQwsI6y35QpU/HwcFd+HjRoAP369eHjj+fQr98zAMyY8Ta+vr4MG/YsaWnpJCUlY7GYmTBhHK1aNWfUqBeV88tJQc4FQKVSMWjQ0yxb9itWq5WlS39hyZJFVK9ejXPnbj1S4eOPPyIxMZFnnhmG2Wzm2rVrxMRcolevWwmbr29Z3ntvBrNnz+TEiZPs3btP2TZw4HCSkpIA6NmzByNHDlP2dXFxYfr0qcyaNZ1nn33+5nl8hV6v5/XX38Ld3YXz52NISzNx/Hjwze0LMBj0vPrqm9y4EYfRaGTIkGdYvnwJbdt2JCkpOcu5BgbWYseOXezfH4SLiwuNGzdk374g3NzcqFu3DgsX/kBSUjJly5bF27s0165dp3TpUixfvpTVq9fw2WdfkpaWTsWKfsycOY3ExCTmzv2ELl068dJLY5k7dy779h0kLc1EWFg4HTt24NNP5/LBB3M5cOAQZrP9sxEfHw/Yh85/+ulcZsx4jxMnTgL2Gyzz539IWFg4e/bsY/LkifTq9TgzZrxHRESkcp2/+eYL5byefvpJXn11ItOmzSIsLBytVkvnzg+xcOGXdOjQhVKlSvHOO28xd+7HREdHKdcSIDIyKsffJSGEEMXLai1NWvKzpKc8BWR8NzOhd/kdL+8fqF7LjTNnUoszRCHEbSQJLiGsOi3XnmiHTa/Ls+4lgOrlC30sVboJ7z935DsRHj58KJGRUWzfvhOApUuXMXbsaLp3f5g1a9YBUL58OeLjE9i9ey8JCQkYjQZq1fLnzJlwUlLS2Lt3PwAhIWfZtWuP0nanTj1xc3NjwoTJJCenKOU6nZavv/4cNzc3JSkLC4tw2Ldu3TpMnDgu25jr1KkNwNmzZ7l0KRZXVyMNGtTj0KEjtGrVgpiYS0RFnScqKoru3bsrCfKxY8cB0Gg0zJo1jSee6MnWrdtp0+YBNBoNFouF+vXrsmHDZjZv3uZwzOjoi6SmpjnEmJOCnAvAAw88QMWKfvz8s713cuPGzcTEXGLEiKFMnTpdqVe/fl1mzHiPbdscV5vMOFajRg2ZPn0qUVHnAejQoa1DErx3734l+atfv57DvgAtWzbnmWeeAqBSpYq0bNmcJ58cyN69+xzeb7DPiW3evCkDBgxRbnwAHDt2guPHg2jbtg3//rvBIU61Wk3NmjX5/vslnDp1hri4OFq2bM6+fUG0aNEUrVbLvn1BuLjYv2TUqRPIzp276dKlE+7ubkybNgOz2QLAgQOHePjhzrRr14a5cz+hfv26xMcnsHbtWoc4e/V6nAMHDjJ//mfZXvu+fXuxf/8Bvv9+iVK2b18Qo0aNoH37tuzZs4/HH3+Un39ezi+/rFDqZIx0uNVOb9auXc+vv/6ulB04cIgxY56jZcsWynU/evQY0dGRDjEKIYQoeWxWD9JShpKWPBjI6MSwoDP8jYvbAtSa82i0BsCtGKMUQmRHkmCRK1dXIwMG9Ofbb7/DYLAnHlFR59m/P4gRI4YqSfDChT+wePFCgoMPcuzYCY4cOcrJk8c5cyY81/YrVvQjISHBIQEGuHQpFoAqVSpx8uTpbPc1mcx4eHhkuy0wsDapqalEREShUqlISkqiZcvmShK8b1/QzXOJQq/XU7NmgHKc0qVLsXDhV9SvX48BA4bg51eBBx9sj5ubG/Hx8Wi1Wmy2op3Pk9u5ADzxxBPs2bOX2NjLyvuwcuUqhg4dyHvvfaBcP51OR06h9enzBPPnz2HduvWMGzeRHTs24enpWaA4LRYLRqN9dcuKFe1DxK9cyX5xDz8/PwBiY2MdyjN+vj1JBKhWzR+j0YWzZ0Ox2WwcPHiYFi3si2O1atWCy5evcO5cGAaDAYvFQmBgbXbu3E3Fin7odDrCwrIONTt+/ASQcW2yXpyKFSvmeA5gT/Zbt25FVFRIlm0Z18/Pr4LyO5tzO3506NCW/v37ZNnm5eXF6tX/4/Dho/z44yIuXrzIvn1BbNq0lb/++p9yI0gIIUTxs9mMpKU8Q1ryCLDd+v+oVv8vLm5foNGeK8bohBD5IUlwCaE2mfH+c0eew6ENBj1VqlQgMvIiaWnphTpWQYZD9+vXh1KlvJg8eQKTJ0/Isr1GjQDOng1l+/adtGzZnkcf7U6rVi3p3r0rI0cOo2XL1rz4Ytb97rY6dWoTFhahDNc+dOgILVo057vvFtO4cSPefdc+Rzcqyj7MNDCwNidPnqZy5Ur89tsvmEwmund/nLCwcJ56qt89jz+z6tWr0aRJE9RqdbaJWL9+fVi8+Kdc23jllZeZPHkCc+bMZ+7cT+5WqHesTh378xNDQs4CsH//AYYPHwJAy5YtCAo6AEBaWhrnz19Qevy1Wi2JiYnZDidPTs465LogNBoNu3btYebM97Nsyyvxvb2dVav+4ptvFmXZFhV1nuTkFB555Am6d3+Ynj27U716APPmfcBrr02ia9eeXLp06Y7OQwghxJ2x2fSkp/QnLfk5bLZbT5bQ6rfj4voZGt3JYoxOCFEQkgSXIGqTGfXV+FzrGIwGvMr6YLiegPUeDJUcMWIIq1ev4csvv86y7bvvvmbEiCG88cY0AC5fvsIPPyzlhx+WYjQamDPnXfr06cP48ZOVZPR2Fy5E4+HhgdHoQkrKrfkyvr5lAYiMPF+ouOvUCeTs2VDl5/37D/D000/SuHFDjEYX9u2zD8+OjY0lOTmZwEB7MjVnznukpKTSs2dfZXhqftls2Z/jnRo6dBCXLl3i+efHZbnxMX78S4wYMSTXJLhZsyZMmfIKEydOYenSX4osrgsXLgDg4+NDaGholu3R0dEAlC1b1qE8473NGJKdWd26gVy9eo1r164D9vft1VcnUrt2LZo2bcJHH81X6p49G6q8b3Fx8RiNRk6ePJVlVEF+ziMgoHqO2+Pj4/H19eXAgUO5tBFNuXK+uR4n4/cpt3YsFgubNm3m/PkwzpwJp2rVqmzbtoFOnR50GGothBDi3rHZtJhSHyc1eQw2awWlXKPbj4vbZ2h1Of9dF0KUTJIEixy1bt2KunXrMGXK1Gy/uC9b9isjRw7l3Xc/oEKFCkpyA+Du/n/27js+ijr/4/hrZuvsbhq9N2kiIIICgg1RFBsoqFiwYNdTz4LtZznLnV3v7Gf3bCAWBMSCgiBNpTfpCb1DytbZ2ZnfH7vZJJBQA5tNPs/HwwfyndnNe1cMee935vv1ctRRR7Fx4yYMw8Dv97NrVz6nnnpSsvzMnj2XiRN/JRAI8NJLz/HFF18lFsbK4a677uD773866MtA27dvx4cfltzDOWnSZO6663Zuuul6CgoKWLhwMU5n/I9/bu6aZJmqVasW4XCYLl06JxdIatOm9X59zXXrNlC3bl3OOutMioqK2Lp1W5kifjC8Xg8XXXQhX331JXPnztvjHtF33/2AUaM+pWfP7syc+Ue5z1GrVnw7K03Tkqs2A8n7ag/W+vUbmDVrNg8+OJy33nqbjAyNWrXqJRfGWrduPbNmzeGhh+7D7XZRUFCI2+1m6NDL2LhxE9Om7bl6cvv2bXf78GIWRUVFDB9+F16vh2nTZiSPrVy5miFD4rP048f/wAMP3MMbb/yHTz4ZUWb2d9OmzeTm5lX4OkaPHsvnn3/EnXfexty588ssjLVo0RK++OIrPvzwHR58cDjTp88kGo0mH7ts2XJ27NjJmDHfcdlll7BixcrkIlal/38AGDnyKx599EFuu+0mFixYRCwWSx6bP38hNpuNjh07JBeVq127PsccE1+5fG/5hRBCHB6WpRCN9CcSvBUz1jw5brMvxOV9FbtjBoqSwoBCiIMmJVhUaNiwq1mxYmVyUavdff75F9x5521ccskgjjuuC0OGXJw8VlTkJy8vl9tuuzM5ds89D/DEE48weHD8nshu3Xqxbt16hgy5ikcffYh3332DjIwMNm3azMSJv/L44/88qNz169enVq2cMmVq5sw/+OGHCfTtexr/+tfziQIS/+O/atUqOnfuBMBTTz3DM888yciRH2Oz2Q7o63722QhOPrk3b7/9OprmZsSIUdxxxz0H9RqKXXLJILxeDz/99FO5x6dMmcrateu47rprKizBkyZNZtSor3nwwXvx+XzlnnOwrrvuFp544lGeffaf5OTkJMcHDryE6dNnct11N/Pkk4/xwgtPU7duXfLzC5g7dx5Dhgwtd2Xoo49uz4wZvyd/HwyG+Pe/X+fuu29n9OixzJu3IHls5cpVZGVl0ahRQzZs2Mhll13Ngw8O5803/0NWVsn2Wu+99yEPPvhoha9h0qTJ/P3vw/nb327mvvvuTm6pNG3aDC688FLGj/+RO+64h1tuuZGbb74heU80wLBhNzNu3HheeOFlNM3NQw/dV2YLqdLefvs9nE4HQ4deTuPGjZL3dgOceeZ5eL0eRo8ume3VdZ2NGzfx2GNPVvjfVgghROWzLDD00wkH/oYZa5McV20rcHtfw+6cKOVXiDSn1K3bVHbsTmjXrjWPPfYQjz/+L5YtW5nqOOXafdXlqiodcqZDRkiPnOmQEdIjZzpkhPTIKRkrTzrkTIeMkB450yEjVH5OywIjeiKRwO3EjE7JcdW2BpfnDRyuH1CUA7v1qaa+l4dDOmSE9MgpGWUmWAghhBBC1HBGtAvhwB3EoickxxR1E27PWzjcY1CU/VtQVAiRHqQECyGEEEKIGikWPZpw8HYM/eTkmKLswOV5G6f2JYpycDtxCCGqNinBQgghhBCiRokZrQgHbsPQ+5UMKoW4PO/j0j5DUQ5spwEhRHqREiyEEEIIIWoEM9aEcOBmopHzgOIFMIO4PB/j0j5CUYtSGU8IcYRICRZCCCGEENWaGatHJHgjevgiwJEYjeDURuDyvIeq7kplPCHEbtqHQ/Ras4b1ZozDcV2GlGAhhBBCCFEtmWYOkeB16KFLgeIt7qI43V/j8ryNatuaynhCiN10iEa4IlDAcdEIbIVwZg7vuSp3i0+QEiyEEEIIIaoZy/QRCV1NJDQULG9i1MThGofb+yaqbX1K8wkhyjo6GuHK4vKbELTb+VPzwoHtTLZfpAQLIYQQQohqwbI0IqHL0YPXYllZyXG78yfc3tex2VenMJ0QYnftohGuDBTSLRpOjhUpCmMzc1h+XGdWrF4Psk+wONJmzZrG99//xCOPPL7HseHD7+LGG4fRpk2nch55+F166WBeffWlCo/36HEyublrjmCiffvmm5EUFhZy9dU3pDqKEEIIUW1YlgM9dDGR4A1YVp3kuN0xFbf3VWyOJSlMJ4TYXbtohCsChRxfqvz6FYVvtAy+1TKwvBpt7YevqkoJFmnviiuuJRAI7DG+adPmFKTZu0ceeRzDMFIdQwghhKgWLFMl6B9AUf71WGbD5LjNMQu39xXsjrkpTCeE2F2baIQrg4WcoJeU34CiMFrLYLSWQUBVAdAOcw4pwVVIRkYGbdoctddzXC4nzZo1xOPJIhI5uA3cV6xYRVFR5W4B0Lr1UUyfPqnM2LZt2xgxYhRPPvkMAA8//AB33HFr8riu6yxbtpxHHnmC6dNnAtCnzyk8+uhDtG59FC6XK3nuAw88wvvvf1Tu1/799z8pLCysMFuXLp159NGH6Ny5Ix6Ph02bNjNmzDhefvmVUs9/L0OHXk7duvFPj08//WwWLVpS7vhzz/2L44/vmnys3+/n99//ZPjwh1i/fgMAjRo15N//fp4ePbqjaW4WLVrM6af358knH5OZYCGEEOIQWZZCKHAWs2beRijYKDlusy/C5X0Fu2MGipLCgEKIMtpEda4IFtC9VPkNliq//kT5PVKkBFcRGRkZzJ49nezsrH2ffIjy8wvo1q3Xfhdhm00tU0hLxm3Jf9+wYQMDB16S/H2tWjn885//4Pbbb+Wvv5bx5Zff8PHHnzFx4q/Jc7p1O44HHxzO++//lxNOOIlgMMg777zBr7/+xiOPPIFpltwFv3p1boX5XC5nufkikQg5OdmMHPkJY8eO59VX3yAS0WncuBFPPvkY4XCEH34Yx+mnn8bdd9/B3/8+nLy8+OXTubl5nHHG6eWO33//w2RklKxSd+WVQxg8+CL+/e/nGTz4cgCeeOJR6tWrxzXXXE8kohMIBPf1NgshhBBiPxjRLoT99xMzOibHVNsK3N7XsDsnSvkVogppHdW5PFhAz93K77daBt9oPvyqbS+PPnykBIt9uv76a7n++mvLPVZQUABAKBROzua2aNGc5577J6Zpsnp1LqecchJffvkNa9asZc2atUD8ft7hw+9i8uTf6Nu3D506HcOiRUvIzMwkNzePqVOn73e+xYvnlDveo8fJHH98N3w+L4899gSGEQNg9uy5nHlmX3r16skPP4yjQ4ejKSws5LPPRpZ5fMeOHcodX7hwERD/EOCppx5jwIDzmTz5N3r16onNZiMWi9GxYwd+/nkSkyZN2e/XIYQQQoiKmbGGhAN3EY30T465tU24PK9hKeNQlMOwhKwQ4qC0Ssz8nrhb+R2j+fhGy6AoReW3mJTgKqKoqIhu3Xrt9+XQa9duOmKXQ3/zzRjefvu9PcavuGII559/TpmxU045ibfffp1ly5bxwAP3M3z4/WRlZSaPq6rKP/7xf9xwwzCefPJpxo4dz+zZ08nKyqSwsJAPP/yYO++8jSuuGMKcOfOYOfN3vvlmDBs2bKww3+DBl5d7T/CGDZsYMKARDoeD3NylexxfvPgvAOx2O5Zl7XHc4XCUOw6Qk5PNu+++SceOxzBkyFU0atSQU089Ga/XS2FhYYXPKYQQQogDY1kakeD1RIJXUbzXr6IU4Mt+m2OPm8XKlasIhaQAC1EVtDR0rggU0ksPJcdCKIzVfHztyaAwxeW3mJTgKqSoqIg5c+bt9RxNcxEMFrB8eR6hw7BceHm2bt3G7Nl7Lixx+umnlfn9kCEX8+KLz/D551/w+ONP0apVkzLHnU4nH3zwX3r27M7Qodfx888Tadq07Dn33fd/fP75F/Tr15fjj+/GPff8nfvuu5urrrqOX3/9rdx88+YtqPCeYLvdjt/v5+KLr9jjWCx2cAtUNW3ahK+++pxoNMrZZ19Abm4el146+KCeSwghhBDlsyyFaOQCwoE7sMx6iVEDpzYSl+dNvN4wqtoilRGFEAktEuW3dxUvv8WkBItK0ahRQ1588Rlee+0tnn76eTRtz3t0b7rpek46qTdnn30+f/21rMLnmjt3PnPnzgfA5/MxceL3DB58UYUleG8KCgrRNI2//lpKMBgqc0zTXLRt2+KAn/P55/9FKBTm/PMH7XVBLiGEEEIcHEPvSjhwHzHjmOSY3TEVt+85bPbidUL2/FlDCHFktTB0Lg8UclKp8htGYZzm48sqWH6LSQkWlSIzMwOHw4GqqvTq1ROXy0GTJg3IzMwkPz8fgNq1c4hGdZo2bUpOTg4A9erVLfM8vXr1LPP7evXqkpOTTW5u3kHlGj/+Bx544B7eeOM/fPLJCILBkgWqdu3aeVDPWatWLcLhMF26dE5ud9SmTeuDei4hhBBClDBjjRP3/Z6VHFNtq3F7n8fhmprCZEKI0poZUa4IFnBypGz5/S5RfguqaPktJiVYVIqlS5fzxhv/5aqrruDOO28rc2zt2vhiWO+88wHdunXlvffeLHc1Z4DRo79I/rtpmmzbtp0xY8bzxhv/PahcGzZs5LLLrubBB4fz5pv/ISurZPXtjz76mE8++d8BP+dTTz3DM888yciRH5dZIVsIIYQQB8cyPfH7fkNXUTzDqyj5uLxv4HSPQlEO7hYmIUTlampEuTxRfos3NYqg8J3m5UtPJvlVvPwWkxIs9ur443tXeOz551/m+edfTv7+H//4J//4xz+BkkuNS9+7vGHDRs4/f9Bev169es32O9vIkV8ycuSX+zzvjz9mceGFl+4xXpzx3/9+laeffmGP47u/vmJTpkylV68+e/2aFb1v5eUQQgghaqr4fb8DEvf9Fl8dFsWpjcDleQtVlduOhKgKmhpRLgsWckokWKb8jk+U311pUn6LSQkWQgghhBBHnKF3IxS4D9PokByzO6fg9r5Q6r5fIUQqNTaiXB4s5NRS5VcHvtd8fKFlsitNr4qUEiyEEEIIIY4YM9aEkP8uDL1fcky1rcLtex6Hc1oKkwkhijVOzPyeGglSXHOLy+8oLZOdaVp+i0kJFkIIIYQQh51leokEbyASGgo4geL7fl9P3PcbS21AIQSNjChDgoX0KVV+o8APbh9feDLYYase9bF6vAohhBBCCFElWZZKNDwwft+vVTsxGr/v1+15C0Xu+xUi5RrEDC4LFHD6buX3R7eXLzyZbK8m5bdY9Xo1QgghhBCiyjD04xP3/R6dHLM7f8XtfRGbPS91wYQQQLz8DgkW0jccKFN+f0qU323VrPwWq56vSgghhBBCpEws1oSw/24M/czkmGpbkbjvd0YKkwkhAHJCIW7ZsZXTAoXJQmhQUn63VtPyW6x6vzohhBBCCHHEWKaXcPBG9NCVlNz3uwuX9zWc7q/kvl8hUizTjHHtzq2csW4VNssC4uX3Z7eXETWg/BZT932KEHGvvfYyq1cv4ZprrtzjWNOmTdi6dS39+/cr55Hl69WrJ1u3rqVjxw77PrkCw4ffxdata/f6z/Dhdx308x9IjhUrFu53xk2bclm0aBYvvfQsmuau8LwVKxbyzTdf0LNnz+TzffPNyD3OW716Cd999zWnnXYyALNmTdvn+9K0aZPD/r4IIYSoGSxLRQ8Nomjnd+ihYcQLcBSn9hEZtc7FpX0hBViIVLIszgz7+e/OzZzlL8RmWcSI3/N7Q62GvJJRq8YUYJCZYLGf+vQ5hQsuOJf//vc9Hnvs/xg7djw7duxMdSxGjBjFtGkll1U99dRjBAJBnn76+eTYunXrj0iOKVOmVng8EAhwxRXXlhmrU6cOzz77FIFAkEceebzc85xOB8OGXc2jjz7KF1+MJhSKAPD773+WeY0ul5OBAy/go4/eo0+fs7jppr/hcrkAqFevLm+//TpPP/08v//+Z/IxW7duO/QXLoQQosYz9O6E/Pdhxtolx+zOSYn7ftekMJkQAqCpEeVv/l10ikaSY3MbNOAdxUWeYaYwWepICRb75cYbr2P8+B957rmXuOKKIVx55WX85z+vV3j+4MEX8eKLz5YZW7t2HZ9//gUvv/wqplnyP9zEiT8k/33XrnwmTpzEvfc+RCAQ4OGHH+COO25NHtd1nWXLlvPII08wffpM1q1bX6bkFhQUUlhYyPTpM8t87fKeZ8WKlbz//nssX54HwCuvvEjHjh04/fT+yfMyMzNZuXIRt99+NyNHfondbueZZ57iggvOJTs7C4DWrTsyZMjF3HjjMNq06VTu+2EYxh6ZAC6++CKOPrrdXs+z2VTOPrsfzZo1ZdeuAgB27ty5x3m///4nl112CSed1Iv//e/T5HjxjO/SpcvKzSCEEEIcjFisKWH/PRh63+SYaluB5nsOu1P+vhEi1ZyWyZBgEYOChTgSY+tsdt6pXY9oxw5sWZ4HRmRvT1FtSQmuQhSbHZvXs9dzVJcT3e5E9WVgd7gO6uvEAkGsmLHf57ds2Zw+fU7l4ouvIBqN8sUXX3L11Vfy6qtvlimz5bn22hvZtSsfRVFo27Y1jz32MNu2bS9T0u666z5yc/MAqFWrFi+99Cw33XQdL730Ch9//BkTJ/6aPLdbt+N48MHhvP/+fznhhJMoKirar9dQ0fM89thj/PjjxOQM675cddXlDBo0kNtvv5udO+Mz4YFAYL8eC6AoCk5n/B6punXr0L592z2KafEMLoDT6eTUU0+hqKiI9es37PW5dT0KgN2e3puXCyGEqNos01fqvt/4j9aKsjNx3+/XctmzEFXAcXqY24p20ciM/8yvAyM8mXzpycThdtM2tfFSTkpwFaHY7NQ+6SRUh2Of5+4AvDkN8B7k1zKjUXZMnbrfRfjaa69m7dp1/PbbNAA++WQEt956E2effSbjx/+418fOmjWLLVu2AzBt2gx69uzBgAHnlSnB8+cvYNGiJcnfX3bZxRx3XBcA1qxZy5o1awG49NLBDB9+F5Mn/0bfvn3o1OmY/Z7ZLO95pk6dxmmnncoxx3Rg69bf9ut5jjnmGPLy8hg3bvx+nV+a1+tlzpwZ5ORkJ8dWrVrNK6+8kfx9VlYW69atKPM4wzB46qmnCAaDyTFFUfcoyxdffBEAixf/dcDZhBBCiH2xLBt6+CIigdt22+/3E9yed1DU/ftgWghx+OSYMW7w53NapOTnxjkOF69n5LDJFu8Z+24b1Z+UYLFXHo/GkCEX88477ydL17p16/nzz1kMG3b1Pkvw7rZu3UaXLp33eo5hGGRmZiZ/r6oq//jH/3HDDcN48smnGTt2PLNnTycrK3Mvz7Kn3Z9nwoSfmTbt1zJfa18cDjtWYiW9AxUMBlm7dh2ZmRncdtvf+eOPWXvM7vr9fi6++Irk7+12OxddNIB7772X8eN/Ji8vXuTPPvvMPcpyIBDgqaeeLXPfrxBCCFEZDL1H4r7fkvkju/MX3L4XsdnWpTCZEAJAsSz6hwNcE8jHl/hZdaei8o4vm8kuDyhKihPuH0tRMOvVJtS2OVtaNsFcswH284rNAyEluIqwYgY7pk7d5+XQLpeTZs0asnbtJiIR/aC+1oFcDj148EVkZ2cxfPhd5a6y3Lr1UaxcueqgcuwPp9PJBx/8l549uzN06HX8/PPEg1rVuLznadOm1WFIXDHLsrjmmhv48ccx3HHHbfTvf8Ee58RiMWbPnltmbNmypVx77VX06XMqH3zwMQDTp8/kySefTp4TCARYu3YdwWDo8L4IIYQQNUrMaEY4cC+G3ic5ptqWJe77/SOFyYQQxVoaOrcX7aK9Ee8GJvC928uH3mwCatXcDMgCzHq1MFo0Jta8cfzXFo0xmjeCxM4p24AsVcX54TeV/vWlBFchVszAKCzc6zkOzYXTqI3pL8I4DJ+K7G7YsKsYO3Y8b7zx3z2Ovf/+fxk27Coeeuix/X6+evXq7vPe1tJuuul6TjqpN2effT5//bVsvx93MM/j9/txOJwH/TX2x4YNG7n22pv46qvPeemlZ7nlljv3+RjTjH+a53CU/O9aUFCwR1kWQgghKosR9VC46+8Eiy6l5L7fHbi9r+Fwf42i1MwVZYWoStyWyRWBQgaGiiheEWa1zcGrGTksO8i1gyqbBZh1cuIFN1l0GxNr3gjLq+31sbZwBOeKw7PCvJRgUaETT+xBhw5Hc//9D5dbuEaMGMV1113NP//5bDmPjjv++OOTC2O1aXMUZ511Jv/4x5P7naF27RyiUZ2mTZuSk5MDxIv0gSrveZo0aVTmnDlz5nHttVdx443XsW5d/NIuj2fvM/MH488/ZzN8+EO8+upL/PnnHN5//6PkMbvdTq9eJXsC22w2zj77DAAWL16yx3MJIYQQlcmyVIJFF/HH9L9hRItvF9JL3ffrT2k+IURcz0iIm/27qGfGF6ILo/CJN5NvtQxiKbj0OV52s0tmdZs3xmjRiFjzxli+ffw8HTOxbdyCLW8D9ryN2NZswLtpKx08Giv/WsXhuM5RSrCo0LBhV7NixcoK7zH9/PMvuPPO27jkkkH8/POkcs/54IO3k/++YcNG3nzzbf73v8/2O8M773xAt25dee+9N8ssBHWg9ud5vv76W449tjN33nkrdeseeNE+ECNHfkm7dm154olHWLBgIbNmzQHii2eNHv1F8rzCwkLWrFnLyy+/zJw58w5rJiGEEDWbET2GsP9hYkbH5JjdOQG37yVstvV7eaQQ4kipEzO4xZ/PiXpJNZzpdPOWL4ettsNf7SzArJVVMrObLL2NsDL2sWxvzMS2aWui7G6I/7pmA7Z1W1Ci0TKnOjUXatsWh+11SAkWFbrhhlv3ejwvbw0NGrRI/r5evWZ7nNOpU9fk6tC7mz59ZrmPufrqG5L/vmHDRs4/f9B+JoYLL7y03PHynkfTXLRt2yK5T7BpmjzyyOM88sjjFT7/HXfcU+7488+/zPPPv3xAx5544l888cS/9nlecc5iFb3Giqxbt77c91kIIYQAMM0sIoE70MODgfj9g17fGpyef2Fa01MbTggBgGpZDAj5uTJQgEb8Vrltqo23fNnMcGqVvvCVBVg5mfFLlxOFNzmzm+nb+4NNE3XTtnjRXROf3bXnbcC2bhOKHt37Y48QKcFCCCGEEDWQZSlEwwMJB+7CsuK3CqH4ych6iy5d/2DFytWEZL1FIVKubTTC7f5dHGXEC2QMGKP5+MSTRagSFr4yszPKXaDKysrY52PVjVuxr9lYMru7ZgP2tZtQDnIB3yPloErwww/fR4cO7fd53uWXDwPil3iec04/jjvuWOrVq4vb7SIcjrB161Zmz57HDz9MIBAIlnmsoij06XMKvXv3pGnTxng8HgzDYOfOXSxe/BffffcjmzdvOZj44gj48suvWbBgDoWFsmegEEIIUdXEou0J+R8mZhybHHO4vsPtfQGvrwhFbZG6cEIIADymyTWBAs4J+ymuusvsTl715bD6IBdztYBgz2NZeloPtmX50Js2xMre93ah6ubtpWZ2E5cyr92IEq7aZbcihzQT/Ntv0/H7A3s9p3btWjz66APUrVuHdevWM2vWHAKBIF6vhxYtmjNo0ABOPrkX//jH0+Tn5wPxxYDuu+/vdOp0DLt25bNo0V/k5+fjcDho2LABffueRu/eJ/Lii6+wePFfh/IShBBCCCFqDMvMIBz4G3r4UkisJ6vaVqL5/ondOStxVtVYVVaIGsuyOCUS4sbALmqZ8ZXYA4rCR94sxrt9mAd56bMFBG64mNCQcys8R91SXHY3lrpvdyNK+PDvSnMkHVIJHjv2+31ud3PttUOpW7cO3333I59+OnKP41dccSnnnnsWw4ZdyUsvvQbA2WefQadOx/DXX8t47rl/E4mUfdO7devCPffcwa233sDf/34f0ej+7XkrhBBCCFETWRZEI+cT9t+DZdVOjAZxe9/EqX2CosjPUkJUBQ1iBrcW7eL4aDg5NsWl8bY3h502214euXcWELj1ckKD+gHg8AexLctFWb2u5FLmtRtRg+G9P1E1cVjvCfZ6PXTp0gnTNPnqq2/LPeerr76lf/8zOe64Y9E0jVAoRO/e8S1ixo79fo8CDDB79jxWr86jVasWdOx4DHPnzj+cL0MIIYQQIm3FjDaEiv6PmNEtOeZw/Yjb+zyqTW4tE6IqsFsWFwWLuCxYiCux8NUm1cYbGTnMdu59P919sRQF/x1DCV9wOgCO3HWc+P5X5M39i1Coes3w7q9DKsHnn9+/zOXQuh5h+/adzJo1h4KCQho0qI+qquzalU84XP6nCuFwmIKCQnJysmnQoD65uXk0bNgAgC1btlb4tTdv3kKrVi1o1KjBAZVgp9OBzVb+DeROpyP5q6ZVzUuBXC5nmV+rqnTImQ4ZIT1ypkNGSI+c6ZAR0iOnZKw86ZAzHTLCkc1pml78BTcSLLqU4h/5bPY1ZOY8h0v7vThRSjMeinTImQ4ZIT1ypkNGOLicHcIhbty1laaJha8M4NvMHL7MzEFXVQ6lAluqws6/XUm430kAOFesoclTb+CsnV2l38uD/e+9v6X+kErwySf3Knd86NDLePXVN5OLXRnG3i+xKT5e8mLj35Cj0YqX0C4+dqB7x7Zv3xKlguvo69eP7w3bsGFdVNU8oOc90po3b5TqCPslHXKmQ0ZIj5zpkBHSI2c6ZIT0yCkZK0865EyHjHB4c1oWbNvSm9XLr0bXawGgqhGatfyKJs3HoKoG0CKlGStTOuRMh4yQHjnTISPsX06PrtN/xQqO37opOZabnc3o9u3Z6vPtx/+le2eqCkuGnEfg+Pje31l5G+jywVc4amfvd8ZUO9CM8+cv26/zDqoEP/XUc+WOezwaZ5zRhyFDBjN48IV89NGnB/P0h9XSpbkVzgSbZnx806ZtrFyZdwRT7T+Xy0nz5o1Ys2YjkcO89Pg111zFY4/9H126dKegoCA5ftZZZ/L888/wxx9/cv31N5d5zGuv/Zt27dpy3nkDefjh+xk4cCCdOsUvvxox4hMKCwu58cb4/sNr1qzg8cf/yfvvf0jPnt0ZOfJT+ve/gCVLjsxiZ/vzXmZlZTFy5CfUqVOHm2++jVmz5iSP1atXj48/fp86depw66138Pvvf6Qs5740adKYadN+5YYbbuGnn36u5IRH9s/loUiHnOmQEdIjp2SsPOmQMx0ywuHPaURbUrjzPvTICSVfU5tEZs6LhKObWbky9RkrSzrkTIeMkB450yEj7GdOy6JPoIir8reTmVj4qkhV+V92HSZ5M7A2bge2H1IOy6ay457rCCYKsGvxCjL+8Sq5oUhavJeHO2Ol3hMcDIYYM2Y8AweeR6NGDZKztXb73r9M8fHiFxiJRHC5XDgcjgofU3ysvHuG90bfywbNxcd0PVrlr4+PRPTDnvHnnyfx+OOP0K1bV7777ofk+G233cJvv03lvPPOoXPnzvz++5/JYz17dufrr8cQiej89NNPfPvt+GRO0zQxTbNM7mjUIBSKMHv2fAYOvISlS5cf8fd+b+/l5ZefQ3Z2NgsWLOTOO29n8ODLk8euuupKPB4PS5b8xQ03DOPXX39LWc59CSeWrz/cf7aPxJ/LypAOOdMhI6RHTslYedIhZzpkhMrPaVka4cDN6KGhQPxnJFVdi9v3DA7Xb+hRoOIfgY5IxsMlHXKmQ0ZIj5zpkBEqztnEiPI3/y46R0uOTXB5eM+XTaFqg0rYcsiy2yi8/xb0k48HwDF3CRkP/5vIbs+dDu/l4cp46LsrlyMajWKz2di8eQumaZKVlYmmucs9V9PcZGVlEovFkvv+btq0GYAGDepX+DUaNowf27hxcyWnF8VWrFjJxo2bOOmkksveMzIy6NTpGD79dCRr166jV6+eyWPt27elbt26TJ4cL4P9+vXj/fff3q+v1bFjB0aP/oKWLVsAsGjRLLZuXZv8Z9myBfz3v6+RnZ2VfEzp4+X9s2lTLjNm/Mo555yVfEyfPqcwadIPrFu3gjVrVjBhwgTWrFnBsGFXl5vruOOOZeHCxXz//U907348TmfJfQmnnnoSU6ZMZfr0mXTp0rnM47p06czXX49g5cpFbNy4mtmzp/PYYw+V+WDngQfuZfHiOcm8HTt2AOCSSwYxZcrPbNiwiq1b17JmzQpeeOGF5OMGD76QX3/9kbVrl7N27XKmTPmZyy67JHlc09w8/fQTLFjwZ/K5Z8+evsdru+mm65g2bSIbNqwiN3cpEyZ8x1lnnZk8fsstNzB79nQ2bcot8762b992r/8thRBCHDnxVZ/PoGjnGPTQMOIFOILL8zq+WhficB3eD2iFEPvHaZkMDRTw+q7NyQK8zmbn/qy6vJxZO16AK4HlcFD4+O0lBfjPhWT937/Tdj/fw6XSV4euVSsHr9dLYWERgUCQefMW0rXrsQwaNJBPPhmxx/mDB1+IqqrMmjWHUCgEwLRpM2nRojkXXHAOS5Ys3WO294QTutKyZYvEHsKLK/slpIzpyCCWddRez1FdTgq0hkRqZRE9yEsDbAWrUKNF+3Xu5Mm/cdJJvZO/79atC6qqMnfuPObMmUe3bl2Tx3r37oWu68yYMfOgcpV27bU3JQujoijceedtXHjhBQQCAe6++/7kee+99yFjx44HwOv18umnH/DKK28wceKvKIrCeef15403XqFbtxPJzy/gnXfe4Ndff+ORR57A4bDRpEkD1q/fzF9/LS83R/v2bZk6dTp//jkLt9tNly6d+eOPWXi9Xjp0OJp33/2QQCBI3bp1qVUrh507d5GTk83IkZ8wdux4Xn31DSIRncaNG/Hkk4/h9wd48cX/cMYZp3P33Xfw978PJy9vDQC5uXn06XMKr7zyIs8++yKzZ8/FMAxcLgc5ORkAnHRSL1555UWeeOJfyT2yu3Q5lpdffo7c3DxmzvyD4cPvZuDAC3jiiX+xZs1aAOrVq8vbb7+efF2XXXYJ9913N4899hS5uXnY7Xb69j2Nd999g1NOOYPs7Gwef/wRnnnmBWbOLHuZ99q16w75v68QQohDFzOaEfY/hBEt+Xva7pyC2/c0Ntv6FCYTQpR2nB7mtqJdNDLj6yDpwEhPJqM8mRgHuedveSyXk4LHbyd6QicAnDPnkfmP11H2ss5STXVQJbhfv9OpX3/PWVpNc3PssZ1QVZXffovPPH3wwcc0bdqYc87pR6dOHcjNXUMgEMTr9dCyZXOaNm3C1q3b+OCDT5LP88MPP9Op0zF07tyRl156mqVLl1NQUIDD4aBhwwZ06NCecDjCG2+8U232CDYdGey8cDqWK2uf524BaHPwX0uJFFDrm177VYQnT/6Nyy67hHr16rJ16zaOP74bubl57Ny5i7lz53H77bcmzz355F7MmjWHQCB4yKtr//nnbCB+n/lrr73MCSd0Y8aM3znllJPKnJebu4bp0+OlOzMzE4jPYBePbdy4keuuu4ZOnY5hzpz5ZGZmkpubx9Sp09E0F23btmD58rxyL7NQVZU2bdrwwQcfJ/8Mdu9+PH/8MYsTTuiK3W7njz9m4XbHX+vRR7dn2rQZnHHG6fh8Xh577AkMIwbA7NlzOfPMvpx0Ui9efPE/dOzYgcLCQj77rOze2QMHXsDs2XN4+eVXk2PFOQEGDRrIn3/O5oMPPk4e/+OPWdx44zBOPrk3M2f+wQUXnMtnn43k88+/SJ7TtGmTMl9n0KAL+eGHCYwa9XVybPbsudx88w10734ChYWFAMybtyD5XgohhKgaLMtNJHgDkeA1QPwKJUXdgOZ7FrtzEpX4M7UQ4hDkmDFu8OdzWiSYHJvrcPG6L4eN9opv+zwYlttJwVN/J3pc/MpC52+zyHzqTZTEz6KirIMqwd27H0+HDu3LjMViMYqK/GzatJlRo75h8uSpAOzYsZOHHvoH/fv3o2vXLpxwQjc0zU0oFGbLli189dW3fP/9TwSDoTLP9eyzL9Onzyn07t2TTp064PF4MAyDnTt3MXHiZMaN+57NmyveQklUjilTpmKaJied1Iuvv/6W44/vypw5cwGYM2cederUpmXLFuTlreHEE3vy1lvvVNrXbtq0Cf/737tkZmZy/vmD6N//LG68cdgBPUdxCdU0jcLCQj788GPuvPM2rrhiCPPnL2D16pW8//7HrFqVt8djW7Zsgaa5WblyFZZlMWfOPE44IX5pSY8eJ7Bt23ZWr87F5XIRi8Vo374d06bNoHHjRjgcDnJzl+7xnMVXLjgcDizL2uN448aN2b59R4Wvp0mTxpx4Yg/WrVuxx7HiDwEaNWq41+3F4s/TiFNO6c3FF1+0x7GsrCzGjv2OefMWMGLE/1izZi2zZs1hypSpjBnzHYFAoJxnFEIIcbhZFhh6H0L++7HMxolRHZfnQ1yed1CU8rejFEIcWYplcVZRAZfnb8eX+Hlvl6Lyji+bX10eKvuTKtPjpuBfd2F0ageAa9LvZDz9NkpMCnBFKnV16IoEAkG+/HI0X345er8fY1kWEydOZuLEyQeYLj2p0SJqfdNrn5dDu1xOmjVtyNp1mw56pbQDuRx6+/Yd/PXX0mQJPu64Ljz//MsALFiwkGg0yvHHd8Xn85GTk82UKVMPKtPuOnXqyIgR/yMvL49LLrmSbdu207//Wft+4D7cd9//8fnnX9CvX1+6dz+BK6+8kqFDr+Kqq/Zc2Oroo+Mf9KxYEV9K888/Z3PttVcB0L37CcyaFZ+tjkQirF+/gaOPjn/jsdvt+P1+Lr74ij2+fjAY3GPsQNhsNqZPn8mTTz69x7F9Fd/dn+ebb8bw9tvv7XFs3br1BIMh+vcfwOmnn8Ypp5zECSd0Y+DA83nggXvp1+98tmzZckivQwghxIExY00I+R/A0E9Njtkd03H7/oXNviaFyYQQpTXXI9z85580S1xVBzDe7eVDbzZ+tfKXYzK9HgqeuQejQ7xDuH6aRsbz76GYVXu711Sr9HuCxcFTo0Wo2+ft9RyX5iKrTgGunXmYR2g1t8mTf+Pcc/vTpk1rcnKykzPBoVCYpUuX0a3bcdSpU5uCggLmzp1fKV/zrbde4a+/lnH55Vej65V7I//cufOZO3c+muaiS5cOvPLKqwwefNEeJbhDh/bs2LGTnTt3AfESfN99d9OuXVu6dj2OF154OXnuypWraN8+XoILCgrRNI2//lpa5gqH/bFhwwaOOqpVhccLCwupV68es2fP3ctzbKR+/Xp7/TrFlzvv7XlisRgTJvzChAm/APH7o6dM+ZnTTz+1zKXWQgghDh/LchIJDiMSvA6ILzKqqJvRfM9hd06QS5+FqAJqxwy662F66CG66WGKl7habXPwWkYOSx2HdptgRcxMLwXPDsdI3Dbn/n4Kvpc+QDH3vNpQlCUlWOzThAkTufXWm7jllhsIBAIsXFiyGNnMmX9y2mknc8wxHZg4cTJmJX3qVKtWLfLy1nDCCd2Slw3vfl/rwSi9mrXL5aBz5w5kZ2eTm5u3x7nt27dl5cpVyd//+ecsioqKGD78LrxeD9OmzUgeW7lyNUOGDAZg/PgfeOCBe3jjjf/wyScjysz+btq0udyvVWz06LF8/vlH3HnnbcydO7/MwljLl+fxxRdf8eGH7/Dgg8OZPn1mchsygGXLlrNjx07GjPmOyy67hBUrViYXsapXr26ZrzNy5Fc8+uiD3HbbTSxYsIhYqctl5s9fiM1mS65WDfHFybp2PQ5gr/mFEEJUnmjkJML+BzHNZsUjOLWPcXvfQlEO7ENWIUQlsiyOMqL00EP00EO0McouPKWrKp9n5vClXSN2mD6pMrMzyH9uOLGj4t8f3N/+gu/VT1DKud1O7ElKsNinadNm8P33P3LhhRfw0kuvlCle7733If369aVZs6Y88MDDlfY1/+//HuPhhx/gq68+Ry116UhBQcEhPe/o0SUzmKZpsmvXLsaP/5433vjvHucefXR7Zsz4Pfn7YDDEv//9OnfffTujR49l3rwFyWMrV64iKyuLRo0asmHDRi677GoefHA4b775H7KyShY7e++9D3nwwUcrzDdp0mT+/vfh/O1vN3PffXcnV8ieP38+33//C+PH/8gdd9zDLbfcyM0331Bm67Fhw25m3LjxvPDCy2iam4ceuq/Cbcbefvs9nE4HQ4deTuPGjXC5Sj6hPPPM8/B6PWXeK13X2bhxE4899uQeq0ULIYSoXGasISH//Rh63+SYzfEHmu+f2OyrU5hMiJrLYVkcm5jt7a6HqWvueb/tWpud2R4fyzsfwx/rthA7TFdtxmplUfD8fcRaxNcG0L76Ce8bnyEXhuw/pW7dpvJxQUK7dq157LGHePzxf7Fs2cpUxynXvlY0rirSIWc6ZIT0yJkOGSE9cqZDRkiPnJKx8qRDznTICHvPaVkOIsGriQRvBDQAFHUrbu8LOFzfH7FLn6vDe1lVpENGSI+cqciYbcY4IRKihx6mqx7GTdnaZACLHC5+d2r87tLYbLMf9pyxOtkUvHA/saYNAdBGfIf3nVEHVIDlv7fMBAshhBBCpJyh9yTkfwgz1rJ4BKf2GW7PGyiqrMovxBFhWbSIRekeic/4tjN0dl/KqkhRmOXU+N2pMdvpJnAYFruqSKxebfJfvB+zUXztF8//RuP5aLTMAB8EKcFCCCGEEClixuoTDtxLNHJ2csxmn42W8S9s9uUpTCZEzWC3LDpFI3TXQ/SIhGhQzmXOG2x2fne6+d2pscThOmz3+e5NrGHdeAGuXwcAz3tf4f1s7BHPUV1ICRZCCCGEOMIsy0YkeDXhwK2ABwBF2YHb9yIO11hZ9VmIwyjDjHGCHqZHJES3aBjPbotJxYC/7E5+d8VnfNfb7JW+t++BMJrUp+CF+zHr1gLA+9YIPKN+SFme6kBKsBBCCCHEEZS/8xh2bH4WI3pUYiSG0z0St/c1FLUopdmEqJYsiyYxI76acyTE0Yae3MaoWFBRmJ2Y7Z3ldFOo7n5GahjNG1Hw/H2YtbMB8L72CZ5vfk5tqGpASrAQQgghxBFgmlnkb3+IzWvPSY7Z7PPjqz47/kphMiGqH5tl0SEaoWdiNefGMWOPc7aoNma6NP5waix0uDCq2CUYRqsm5D93H1ZOJgC+lz9EG/drakNVE1KChRBCCCEOMyN6HMHC57DMBgAoaj5uz0s43KNRFNmoQ4jK4DVNuulheuohuukhMna7zNkEltudzHRq/OFyk2dzpPQy572JtmlOwXPDsTJ9YJpkvPA+7h+npjpWtSElWAghhBDiMLEslUjwOiLBWyn+sat+o1+wlH8R0bemNpwQ1UCDmEHPSIgeeohjopE9yk0YhblONzOdbv50aeRXkcuc9ybariUFz96LleGFmEnGc+/g/nlGqmNVK1KChRBCCCEOA9OsTbDwGWLRnvEBpYjs2k/RrsMqli8vSG04IdKUmrjMuUei+DYr5zLn7aqNP5xuZjo1Fjhd6MqR28boUEWPaU3B0/dgeTWIxcj451u4J/+Z6ljVjpRgIYQQQohKFtVPJFT4NJZVGwCbfQGezPtwe7YDLVKaTYh0k23G6BYoos/ixRy1ZQtZprnHOSvsDv5wasx0aqyyV93LnPdGP7Y9Bf/8O2huiBpkPvkGrmlzUh2rWpISLIQQQghRSSzLTiRwG5HQ9ckxp/YBbu8rKIoBuFIXTog0kWnG6ByN0FmP0Ckapnk5s706MC+xmvMfTjc7bOlda/Rux1DwxB3gdoEeJfMfr+H6fX6qY1Vb6f2nRQghhBCiijBjDQkWPkfM6AKAouxEy3gYh+u31AYToorLNGN0ikbopEfoHA3TopzSC1DkdPKHw8U0m4u5TheRNLrMeW8i3TtT+Pjt4HRAOELWo6/gnL041bGqNSnBQgghhBCHKBo5nWDRk2DFtzKxOf7Ak/Egqk0WvxJidxlmjI7RSHK2t2UsWu55BYrKIoeL+U4Xy30ZeI5py7IVawiFIkc48eET6d2VwkduBYcdQmGy/u/fOOcvTXWsak9KsBBCCCHEQbIsJ2H/PejhyxMjMVyet3B53kZR9rxvUYiayGeaidIbplOi9JY3h1ukqCx0uFjgcLHA6WKNzYGVuLdXc7pom4b3+e5N5JQTKPy/m8BuRwmEyHrwRRyLV6Y6Vo0gJVgIIYQQ4iDEjOYEi57HNI4GQFG34Ml4ALtzVoqTCZFa3lKlt3M0QkujotKrsMjhZoHDxUKni9xSpbe6C/c9kaL7bwCbiuIPknX/CziWrk51rBpDSrAQQgghxAHSw+cRKnoE8ABgd05By3gYVd2V2mBCpIAnUXo7JYrvURWUXr+isMjhYqHDzXyHizy7A7OGlN7SwmedRNG9w0BVUQr9ZN33PI4Va1Idq0aREiyEEEIIsZ8sSyNU9H9EIwMSI1Hc3n/j1D5GUayUZhPiSNFMk2OK7+lNlF5bOecFE6V3gcPFAoeb1TW09JYWOu80/HddA4Cyq5Ds+57Dvnp9akPVQFKChRBCCCH2Q8xoS7DwecxYKwAUdT2ezOHYHYtSnEyIw0szTToY8UWsOkcjtDb0Ckvv4mTpdbHK7qzxpbe00MAz8N9+JQDqjnyyhj+Hfc3GFKeqmaQECyGEEELshWWBHr6YsP9+ivf5dbh+RPP9A0X1pzacEIeB2zLpEC0pvW0qKL0hEqXX6WKhw8UKKb0VCl58NoGbhwCgbttJ1r3PYl+/JcWpai4pwUIIIYQQFbDMDIJF/8DQ+yVGwmi+Z3G4v0R+1hfVhcs0ab1jB8fn7+DoYIC2hl5uSQgnSu9Cp4v5Dhcr7U5i8j/CPgUuP5/gdYMAULdsJ/ueZ7Ft2pbiVDWblGAhhBBCiHIY0U4EC5/DMpsAoNpW4ckcjs2+IsXJhDg0LsukfVTn2GiETnqYtoaOo5zbUsMo/OVwssDhZoEzPtNrSOndbxYQvOZCgkPjawioG7fGC/DWHakNJqQECyGEEEKUZlkKeuhqwoE7AAcADvfXaL5nUJRQasMJcRCclsnRUT2+erMepp2hJ/5klxVRFP6yOxP79LpZLqX3oFlA4IaLCQ05FwDbuk1k3fsctu2ygnxVICVYCCGEECLBNHMIFf0TQz85PqAE0HxP4nR/l9pgQhwAh2XRPrl6c4T20Ui5pVcH/nK4+MvjpaB1SyZuzacorB/puNWOBeTfcAmhAX0BsOVtIGv4c9h2FqQ2mEiSEiyEEEIIARj68QSLnsEy6wOg2pfgyRiOzb42xcmE2Dt7qdLbKRrh6GgEZznnRYmX3oWO+D29yxwuooqCprlom5ODsU1K2qGyFIVlg86iqHdXAGyr1pJ93/Oo+UUpTiZKkxIshBBCiBrNslQiwZuJBG8CVACc2ie4vS+hKNHUhhOiHHbLoq2hc6weTpReHRd77lMdBZYlCu9Ch4ulDie6oh75wDWEpSrs/NuVBBIF2L48j6z7n0ctDKQ4mdidlGAhhBBC1FhmrB7BomeJRY8HQFEK0DIeweGalOJkQpQoLr2d9Aido2GOjuq4Kyi9y+1OFjjdLEiU3oiU3iNCP7Y9gWGDMDq2AcC5dDUZ972AGgimOJkoj5RgIYQQQtRI0cjJhIr+iWXlAGCzz8WTeR+qbXOKk4mazmZZtDH0+D29epgOFZReg+LS62KBw81fUnqPuGi7lgSuG0S0W8fkWPbqdfge+Q8RKcBVlpRgIYQQQtQolmUnHPg7eujqxIiJy/MuLs+bKIqR0myiZlJLld5OeoRjohG0ckpvjHjpXehwMd8ZL71hKb0pYbRqQuCai9ATlz4DKAVFZH35I8ctW82qUDiF6cS+SAkWQgghRI1hxpoQLHyOmNEJAEXZjpb5EA7njBQnEzWJalm0Li690Xjp9Vjll96Vdmf8nl6niyV2FyFVSm8qGY3rE7x6IJE+PSDx30IJhNBGfY/21U94LQtb2xapDSn2SUqwEEIIIWoEPXwWIf9jYGUAYHdMR8t8CFXdkeJkorpTLYs2UZ1O0TCdoxE67qP0LnS4WOBwsdghpbeqiNWrRXDoAMJnnQQ2W3wwHEEb/TOekeNLFr/SXKkLKfablGAhhBBCVGuW5SLsvx89fHFixMDlfQ2X9j6KsmcREaIyqJbFaf5Czpg3j2Y7duK1zD3OiQGr7Q4WONzJ0huU0lulmDlZBC8/j9B5p4Ezsdty1MA97lc8n42VvX/TlJRgIYQQQlRbMaMVwcIXMGPxFVsVdROezPuwO+alNpio1rrqIa73F9AiVnaLLZPi0htfyGqxw0VASm+VZGZ4CV7Sn9CFZ5bM7sZM3D9NxfPxGGxbtqc2oDgkUoKFEEIIUe1YFkTDAwn5HwI0AOzOiWgZj6CqhakNJ6qtlobOdf58ukYjybHtmsYMu5O5ioNFDhd+Kb1Vmqm5CQ3qR+jis7F8nuS4a9LveD78Bvt6WT2+OpASLIQQQohqxTI9hPyPEo2cmxjRcftexOn+DEVJaTRRTdWOGQwNFnJGOEBxxd2pqozIrs2GLp1YunItoVBkr88hUstyOggN6EtwyDlY2ZnJcef0uXg/+Br76nUpTCcqm5RgIYQQQlQbUb0d/vx/YcaaA6Da1uDJGI7N8VeKk4nqSDNNBoeKuDBYlNzHN4zCV54MvvJkoHg02srMb5Vm2W2Ezz6F4NALMOvkJMcdsxfj/eBrHH+tSmE6cbhICRZCCCFE2rMs2LD2HHZsvhJwAuBwjUPzPYmiBlMbTlQ7qmVxdjjAFYECchILXsWACW4vn3iy2JlYPVhLYUaxd5aqEOl7IoGrBmI2qpccty9Zife9r3DOkw/OqjMpwUIIIYRIazGjBbu2PciWcK/ESBAt42kcrtFy+bOoXJZFdz3MsEA+zWJGcniWw837vizy7M4UhhP7w1IU9JO7EbjmQmLNGyfHbSvX4v3gK5wz5yPfNqo/KcFCCCGESEuW6SUcvBE9NBSIb11id6zE7bsbmz03teFEtdM6qnNdIJ9jSy16tdrm4D1fNnOd7hQmE/vDAvTunQheOwijbYvkuG3tJjwffo1ryiyUcvZuFtWTlGAhhBBCpBXLUohGziUcuBvLrJsY1WnaYiy68RLhiKz+LCpP3ZjB1YECTo+UXFa/XbXxP28WE10eTLncoMrTO7cjMGwQRqe2yTF183a8/xuNa8J0FHPPPZxF9SYlWAghhBBpIxbtQMj/IDGjS3LM7pxEdu1/07K1g+XLZQVeUTk8psklwUIGhooovsg5qCiM0jIZ7fERUWTBq6ou2q4lgWGDiB7fMTmm7sjH8+lY3OMno0SNvTxaVGdSgoUQQghR5ZlmDuHAHUTDF0FiExrVlovb9ywO5zTsDhfQIpURRTVhsyz6h/1cESgkq9SiVz+4vXzqzSJftaU2oNgno2UTAtdehN67a3JMKfTj+fw7tG9/QYnoKUwnqgIpwUIIIYSosizLhh66lHDwNrASe3cqAdyeN3Fqn6IoMpMjKollcaIeYliggMalFr2a6XTzgTebdXZHCsOJ/RFrVI/A1RcSOb0HJLamUgIhtFE/oH31I2ownOKEoqqQEiyEEEKIKsnQuxPyP4AZa5Mcc7i+xe39N6ptewqTieqmXTTCdf58OholM4Qr7A7e82azQBa9qvJidWsRHDqA8NknQWJ7KsIRtG9/wTPiO9TCQGoDiipHSrAQQgghqhQz1pCQ/14MvV9yzGZfjNv3NHbH/BQmE9VN/ZjBNYF8To2EkmNbVRsfebP41eXBkkWvqjQzJ5Pg5ecROq8POBMz9VED93e/4vl0LLadBakNKKosKcFCCCGEqBIsy0UkeC2R4DBAA0BRduD2/geHezSKItuXiMrhM00uDRZyQaiI4oucA4rCSE8mYzQfuix6VaWZPg/BS/sTurAfaK74YMzE/dNUPB+PwbZFrhQReyclWAghhBApZVlg6H0J+YdjmY0TowZO7XPcnjdR1KKU5hPVh92yOC/k57JgIRmJRa8M4DvNx+eeTApl0asqzXA5Kbj0HAovPBPL50mOuyb9jufDb7Cv35zCdCKdSAkWQgghRMrEjFaE/Q9gRE9MjtkcM9F8z2Czr0phMlGtWBYn6SGu9efT0Iwlh6c5NT70ZrFBFr2q0iy3k8KBZzBtyLlES5Vf54x5eD/4GvuqtSlMJ9KRlGAhhBBCHHGW6SMcvBU9dBnFP44o6kY03/PYnT8jt2KKynJ0NML1/nyOLrXo1TK7k3d82SxxuFKYTOyL6XETHtCX4OCzsLIzk+OOOUvwfvAVjiXyQZk4OFKChRBCCHHEWJZCNDyAcODvWFbtxGgYl+d9XJ4PUBTZwkRUjoaxKNf6CzhJL1n0apNq4yNvNlNcGvJJS9Vl+jyELjyT0EVnYmX6kuNZeRtwvfMF1kxZIE8cGinBQgghhDgijGgnwv4HiRmdkmN25wQ03wuoto0pTCaqk0wzxmXBQs4N+ZM/6BYpCiM8WYzVfBhSfqssMyuD4OB+hAecgeXVkuOOeUvJGfU9nUJhVizPI7SX5xBif0gJFkIIIcRhZZq1Cfv/TjQyMDmm2lah+Z7B7pyZumCiWnFYFheEirg0WIjPiq8kHgXGaj5GeDLxy6JXVVasVhahS/rHtzrSSi5Rd/y5EM+nY3EuXI5bc6G0bZG6kKJakRIshBBCiMPCsuzoocsJB28BK3FJo1KE2/MGTm0EimKkNqCoFhTL4rRwgKsDBdQvtejVFJfGh95sNtvkx92qKlavFsFLzyF8zqkl+/wCzulz8XwyBsey3BSmE9WZfFcQQgghRKWL6icS9j+AGWuVGDFxuL/B7X0FVd2Z0myi+mi5axfXbVlPaz2SHFtid/KuL5ulsuhVlRVrWJfgZecR7tcbHIk6Ypo4f5uN99OxstqzOOykBAshhBCi0pixJoT8wzH005NjNvt83L6nsTsWpzCZqE5aGDrXbNtJ97Urk2MbbHY+8GYx3SmLXlVVRtOGBC8/j0jfnmBLXJ4eM3FNmonns3HY18jaAOLIqJQSXKdObYYNu4oOHdqxdet2Xn31LdatW1/mnE6djuGMM/rQunUrMjLil0QVFflZsWIVEyZMZPHiv/Z43kaNGnDOOWfRoUN7atXKwW63EwwGWbt2PVOnzmDy5KlYiXs+hBBCCJE6lqURCV5HJHgNEJ+BU5TtuH0v43CNRVHk72tx6JoZUa4IFnBypGRppEJV5TMtk/Gy6FWVZbRsQvCK84mcegKoamLQwD1hOtrn32HfsCW1AUWNc8gluGHDBjz88H14vV4WLlxEt27HcdFF5/Of/7yZPGfQoAEMGjSASCTCokVL2LEjfhlU7dq1OPbYjnTv3o0RI75kzJjxyccce2wn7rrrNpxOJ0uWLGXx4r+IRqNkZ2fTrl0bbrzxWk44oSsvvvgqpmke6ssQQgghxEGwLIhGziIcuAfLbJgYjeLUPsXt+S+K6k9pPlE9NDWiXJ4ov4kKRURRmNmsGe/GVHZE5P7yqijapjnBoQPQe3ctGdSjuL+fgmfk99i2bE9dOFGjHVIJrlOnNg89dC8ZGT5efvl11q1bT7dux1GnTu3kOa1atWDQoAEUFfl5+OEn2Lat7B/2unXr8NRTj3LJJRcxf/4i1qxZi9Pp5Oabr8PpdPLCC68wZ868Mo9xuVzcf/9dHHfcsfTr15cffphwKC9DCCGEEAchZrQl5H+AWPSE5JjdMQ2371lsdlnQRhy6pkaUy4KFnBIJlpRfFMZrXsbVqkO9Nq0JLs8DpARXJdEOrQleeT56j2NLBsMRtHG/oo36Htv2/JRlEwIOoQRnZWXy0EP3kpOTzeuvv8PcufOT5VdR1OR5vXr1BGDy5N/2KMAA27ZtZ/LkqZx33tn07t2TNWvW0qlTB7KyMlm1KnePAgwQiUQYO/Z72rdvy0knnSglWAghhDiCTDOTSOA29PClQPy+PkVdj+Z7DrtzktyOKQ5ZYyPK5cFCTi1VfnVgvOZjlJbJLpsNzWanXipDijIsINqlPcErLyB6XIfkuBIM4R4zEc+XP6LuKkxdQCFKOagS7PV6ePDBe2jQoD7vvvsRM2b8XuG5jRo1AGDz5q0VnrN585bEufHLqBo2jD9my5b9eUyDA8rudDqw2dQKjxX/qmlVc0VBl8tZ5teqKh1ypkNGSI+c6ZAR0iNnOmSE9MgpGStPcT6n002w6CL8Bbdimdnxg0oYX+YHeDM/RlF0iu8HTlXGdHkvq3LOVGZsGNW5uGAXJwWLKN7VV0dhgi+TbzJz2GWP/+iqpTjn/kqHjHBoOS0g3PUYii49h8gxrZPjij9IxtiJZIyZiK0oEB88hJ+va8J7eaRU54yhUGTfJ3EQJdjlcnHffXfRrFlTPvvsCyZOnLzX8x2OeLE0jIovUyk+VvKXbPzXaDRa4WOKj7nd7v0PD7Rv3xKlgo+o69evC0DDhnVR1ap9n3Hz5o1SHWG/pEPOdMgI6ZEzHTJCeuRMh4yQHjklY+UoyG/Hzi3P4S9qlRyrW38aLdv8D7d7B1A1XkM6vJeQHjmPZMbawSCnr15Nl82bkzO/hqLwR+PGTG7RgkK3m7pA3RTnPFjpkBEOLKcFbDumDXln9qawWcPkuMMfpNmUP2k6dTb2cAQa1o3/k4KMqZQOOatjxvnzl+3XeQdcgu+88xbatDmK0aPHMW7cDwf68JRbujS3wplg04yPb9q0jZUr845gqv3ncjlp3rwRa9ZsJBLRUx2nQumQMx0yQnrkTIeMkB450yEjpEdOyVg5YrHaBAvvJlB0VnLM7lhBZs7z2FxzWFtFtvNMh/cS0iPnkcxYPxrl4sKdnBIomfmNAj/7svg6M4edqh3Wbk55zoOVDhnhwHJaqkLoxOMoGHIO0ZZNk+PqrgIyv56A7/spRMMRVqcwYyqlQ07JeIAluGPHDnTp0pnly1fyxRdf79djimds7faKv1TxseIXqOvxX4tnkctTfCwcDu9XjmK6XvHscvExXY/u91R6qkQiepXPCOmRMx0yQnrkTIeMkB450yEjpEdOyXhwLEtBD19MOHAnWJkAKGoBLs9rON2jiFkxQqF9PEkKVMX3sjzpkPNwZmwQMxgSLKRvOFCm/P7k9jLSk8l2mx2isfg/KcxZWdIhI+w9p6WqRE7vQfDy84mVmp1Tt+3EM2I87vGTUfQoh/tVVof3sqqoyRkPqAQXF862bVvz2WfvV3heq1Yt+Oyz91myZCl5eWvp0qUzDRrUr/D84nuAN27cBMCmTfFP/Pb+mPqJx5T/6aAQQgghDk7MaEuo6FFiRsnKrg0aT8DkGSJ6xet1CLEv9UuV3+IfQqPABLeXLzyZbLUd8u6dopJZdhvhM3sTvOxczMYlP5urm7bh+Xwc7p+moURldW6RXg7oO83Klat57rmXad++XbmztJrm5rTTTqagoIDp0/9gy5YtrFy5mnPO6cdpp53Ezz9PYuvWbWUeU69eXU477SRM02TatJkALFy4hIKCQlq1asEJJ3Tlzz/nlHmMy+Xi/PPPAWDq1BkH9IKFEEIIUT7L0ggHbkUPXUnxjwiqbTnZdZ6m7dFFLF9ekNqAIm3VS5TfM0qVX4N4+R0p5bdKshwOwv1PJjjkHMz6dZLjtnWb8Hw2DtcvM1Fi+56pF6IqOuDvOPPmLWTevIXlHqtTpzannXYyO3bs4uOPP0+Of/XVtwwaNIBnn32CRYuWsGPHTgBq165Fx44dcLlcjBjxJWvWxG8s0nWdt956j7///Vbuuutv/PXXMjZu3EQ0GiUrK4v27duSk5PNnDnz+emnXw7mdQshhBCilGjkNEL+h7DM4gVugri9b+LUPsHpsgEtUphOpKu6MYNLg4WcGQ5QPH0SA352exnhyWSLlN8qx3I7CZ17GqFL+mPWyUmO23LX4/l0LK7Jf6CYVgoTCnHojsh3nq+++pZly1bQr9/pHHVUK449thMARUV+FixYzI8//sySJUvLPGb+/IU89NDjnHvuWRxzzNEcdVRL7HY7wWCQdes2MGrUN0yePBXLkv8JhRBCiINlxuoT8j+IofdNjtmdv6L5/oVq25QYsZX/YCEqUCdRfvuVU35HejLZLOW3yjFcTgoGn0XhgDOwcjKT4/YVeXg+GYtz2hwU+blbVBOV+h1o+/YdXH75sHKPLVq0hEWLlhzQ823atJl33/2oMqIJIYQQohTLsqGHLicc+BvgAUBRt6D5nsbu/IUKdhMUYq9qxwwuDRZxVthfpvxOdHn43Jsl5beKsVSFWIvG5PfpwdSBZ2B4tOQx+5JVeD4Zg/P3+ci3A1HdyHciIYQQooYxoh0J+R/FNI5OjMRwap/h9ryGogZTmk2kp9oxg0uCRZy9W/md5PLwuTeTTbaKd/wQR47ldBBt15Jop7YYHdsQPaYNls9T5hzHvKV4Ph2DY84SKb+i2pISLIQQQtQQlukjHLgDPXwpoAJgsy9C8z2BzfFXasOJtFQrFuPiUCH9Q36cibEY8KvLwwhPJhvsUn5Tycz0Ej2mDdGObeLFt21LcJT/43+tZbnY3/8Sa9biI5xSiCNPSrAQQghRzVkWRCNnEQ7cj2XWjQ8qftzeV3C6R6IoZmoDirSTkyy/AVzE7xM1iZffz6X8poQFmA3qEO3YlminNkQ7tiXWonH5JxsG9hVrcCxagWPhcjJWreXo+rVZvjyPKrj9txCVTkqwEEIIUY2ZsSaEiv4PI3pScszh+hG391lU27a9PFKIPeWYMQYHCzlnt/I7xeXhM08m66X8HjGWqhBr2TQ5yxvt2Aazbq1yz1WCIexLVuFYtBzHwhU4lq5CCevJ4zbNBfVrH6noQqSclGAhhBCiGrIsO5HgNUSCNwFuABR1PZrvXzhcv6U2nEg72aXKr3u38vu5J5N1Un4PO8vpINq+VaLwtsU4pjWWVyv3XHVHPo6Fy7EvWo5j0Qrsq9ahmHLFhxDFpAQLIYQQ1YyhdyXkfwQz1joxEsWlfYTL+18UJZzSbCK9ZJkxBgWLOC/kT5ZfgCkujc88WayV8nvYmJm++Cxv4vJmo02LCu/nta3ZGL+0edFyHAuXo27aJotaCbEXUoKFEEKIasI0swgH7iYavig5ZrPPQct4Ept9ZQqTiXTj1XWu3LWd/kUFZcrvb06Nz7yZrLE79/JocaAswGxYt1TpbUuseaPyTzYM7Mvz4pc1L1qOY/FK1IKiI5pXiHQnJVgIIYRIc/GFry4g7L8Hy4rfE6goBbi9L+Fwf4OiWPt4BiHAZll0jEY4JVTI6RtyccViyWNTE+U3T8pvpbBUBaNV08RWRYn7eevklHuuEghhX7wyOcvrWJaLEtHLPVcIsX+kBAshhBBpLGa0JOR/mFi0e3LM4RqD2/ciqrozhclEOnBaJsfpEXpFgvTQw2RaZe8bnZYov7lSfg+J6XKgt2sZn+Xt2Aajw17u592+K152F8bv57XlrkMx5YMsISqTlGAhhBAiDVmWk0jwBiLB64D4fZmqLRfN9xR25x+pDSeqNM006a6H6BUJcbweRqNswQoqCsvr1+cTHCyJVfAk1ZilKuB0YDmdWE4HlsuZ+H2pf3fFj5X+d8tZfCx+Li4nAc1NfssmFDauD3ZbuV/PlrehZNXmhctRt2yX+3mFOMykBAshhBBpJqqfSNj/f5ix5omRCC7Pu7g876Eo0ZRmE1VTlhmjZyRELz1EFz3M7stZFSgqM10a05way7KyaNWuJbnL8yAUSUXcfbJUhUj7Vmw7uhWB+nXQIVlacVVUTHcrqU5nyXkuBzgSJbeCxacqRdTAviw3XnoXrcCxeAVqYeDwfT0hRLmkBAshhBBpwjRrE/bfRzRyTnLM5piJ5nsSm31tCpOJqqhezODERPHtEI2w+zzkVtXGjETxXeJwYSrx+UdNqbrzkGamj/A5pxA6rw9mw7psSXWgYqYJkSiKrqNEdBQ9CnoUm2GQGY0RnbUI5i6J38+rywdVQqSalGAhhBCiirMsBT08mHDg72BlAqAoO3D7nsfh+o4q3FnEEdbUiNIrEqKXHqSNsWfZWmezM92pMd3lYYXdQbr84Ym2bUFo4BlE+vQA5z62ZQpHUPRovGwmCqkS0SEaRYlEy5TU5DG9uMAmHqcXP67Uc+iJ8xLnKLqePIYRK/cSZk1z0bZtC5YvzyNURWfVhaiJpAQLIYQQVVjMaEuo6FFixrHJMad7FG7vv1HUwhQmE1WCZdHGiNIrEqSXHqJpzNjjlBV2B9OcHma4NNal0b6+lsNB5LQTCA3oi3H0UWWOORYsI/P7KbSPRslblku4IBAvpVFD7qcVQuyTlGAhhBCiCrIsjXDgFvTQUIr/ulZtK9AyHsfumJ/acCKlVMuiQzRCbz3EiZEQ9cyyq1eZwGKHi+lOjRkuja229PpxL1avNqHz+xA+5xSs7MySA6EI7l+mo337C/bV69E0F1rbFth2FaLKLKsQ4gCk13dFIYQQogaIRk4l5H8Iy2yUGAnh9r6JU/sYRdlzpk9Uf3bL4jg9TC89RM9IiKzdtjKKAvOcbqY7NWa6NArU8lcirqosINrtGEID+qL37AI2NXnMtn4z7m9/wf3jNNRAMGUZhRDVh5RgIYQQooowY/UJ+R/A0M9Ijtmdk9F8/0K1bUxhMpEKmmlyvB7mRD1Edz2Exyq7lVEIhVlON9NdGn86NYKqWsEzVV2mVyPcrzfhC/oSa9aw1AET54x5aN/+gmPOEhRL9skVQlQeKcFCCCFEilmWjUjwSsLBv4HlBUBRt6D5nsbu/CVd1i4SlSDTjNEjsYfvcXoY527HCxWV351uprs8zHW60JX0K74ARovGhAb0JXxmL9DcyXGloAj3+CloYydh27I9hQmFENWZlGAhhBAihYoKjmLH5qcwou0TIzGc2me4Pa+hqHLpZ01QO2Zwoh6idyREx3K2Mtqu2pjh1Jju0ljkcBFL009FLJsNvXdXQgP7Ej22fZlj9qWr0b79BdekP1CisoWQEOLwkhIshBBCpIAZa0DBjlvZvHYAEJ/Ns9kXo/mewOZYktpw4rBrGNXpFiykVyREO0Pf4/iG5FZGGsvtTqw0Lb4AsVpZhM89jfB5p2HWySk5oEdx/fo72uhfcCzLTV1AIUSNIyVYCCGEOIJMszaR4PXooUsgcbGrovhxeV/F6R6Boph7fwKRthrEDM7O93PKjE00CAT2OL7K7kgW3zW29NnDtzwWYHRsE9/b9+RuYC/5kVPdsh1tzCTc309BLShKXUghRI0lJVgIIYQ4AkwzEz14LZHQ5YAnMRqjfsPJmMrz6NH1qYwnDhOXZdI7EuLMcIBjo2W38TGBv+xOprvie/huTrOtjMpjuZ2E+55IaEBfYkc1K3PMMWsR2re/4Jw5D8WUha6EEKmT/t9thRBCiCrMMj1EQkOJhK4GKyM57nB9T1atd2l3jMLy5dvie9yI6sGyaGNE6Rf2c1okiLfUysYxYHWtWvxi2fhNdbArzbYyqojRuD7hC04nfPbJWD5PclzxB3H/NBX3txOxr9+cwoRCCFFCSrAQQghxGFiWCz10KZHgdVhWreS43TkJt/c1bPbl2B0uoEXKMorKlWHGOD0c5MxwgFaxsp9qbLDZmeD2Mi0rhzodWrN8eR6hUKSCZ0oPlqqg9ziW0AV9iXbvVOaYbfU6tG9/wf3zDJRwer9OIUT1IyVYCCGEqESWZUcPX0gkeBOWWT85bnPMxO19FbtjQQrTicqmWhbHRiOcFfZzYiSEo9SxMArTXBo/ur0scrhAUdDsduqkLG3lMDO9hPufQuj80zEb1i05EIvh+m027tE/41i4nPS9o1kIUd1JCRZCCCEqgWWpRCPnEg7cimU2SY7b7PNxe1/B7vwjhelEZasXMzgzHODMcIB6ZqzMsWV2Jz+5vUx2eQiq6bmPb3mibVsQGtCXyOk9wVlS99Ud+bjH/Yr7u1+x7chPXUAhhNhPUoKFEEKIQ2BZCoZ+BuHAbZixo5Ljqm1pfObXOSWdF/kVpTgsixMjIc4K+zk2GqF0vS1QVCa5Pfzk9pJnd6YsY2WzHA4ip55AaGBfjKOPKnPMvnAZ2uhfcE2djWLEKngGIYSoeqQECyGEEAfBssDQTyIcvB3T6JAcV225uDyv43D9hKLICrjVQStDp18oQJ9IkAyrZAsrE5jjcPOT5mWmU8OoRp92hHIyyb96IEVn9sbKzix1IIL7l+lo307Evnpd6gIKIcQhkBIshBBCHCBDP55w4HZiRtfkmKJuwO19C4drLIois2LpzmuanBYJ0C8coI1RdpGrzaqNCW4vP7u9bKsG2xqVZrRozPZrLmRt765Q6lJu2/rNuL+diPvHqaiBYAoTCiHEoate37mFEEKIw8iIHkMkcAdGtFdyTFG34fK8jdP9FYoi+xylM8Wy6ByN0C8coFckhIuSmXwdmO7y8KPbywKHC6sazfoCGM0bERw6gMipJ5SUX9PEOXM+2re/4Ji9GMWSKxuEENWDlGAhhBBiH2JGa8KBv2HofZNjipKPy/MeTm0EihJOYTpxqOrEDM5ILHLVcLdFrlbaHfzk9vKry4O/muzpW5rRrCHBqwaWKb9KRKfJzHnE/jeaaN7GFCcUQojKJyVYCCGEqEAs1pRI4Daikf5QvAyS4selfYRL+xhFDaQ0nzh4dsuihx7irFCA46JhStfbIkXhV5eXH91eVjuqzyJXpRlNGxIcegGRPj1KZn71KNrYSdQaPYF2dWuxfMsO5NoGIUR1JCVYCCGE2I0Zq084eDPR8EBK/qoM4dQ+x+V5H1UtSGE6cSiaGzr9wgFODwfJKrXIFcBch4uf3F5muDR0pfpsbVSa0aR+/LLnPj3BVqr8jvsVbcR32HbkY9NcULdWaoMKIcRhJCVYCCGESDDN2kSC16OHLgGKZwCjON1f4vK8jWrbnsp44iBppsmpkSBnhQO0M/Qyx7YlFrma4PaypZotclWa0bg+wSsvINL3xDLl1/3dZDwjxmHbnp/SfEIIcSRV3+/2QgghxH6yzEwiwWuIhK4APInRGA73GNyet1Btcl9k2rEsOkYjnBkOcHIkhLvUIldRYKZL40e3l3kON2Y1W+SqtFijegSGXkCkb6+y5ff7KXg+G4dt+67UBhRCiBSQEiyEEKLGskwPkdCVREJXg1WyF6rD9T0uzxvY7HmpCycOSnbM4LxgIf3CARrHjDLH8mwOfnR7meT2UFgNF7kqLdawLoErLyByZi+wJV5r1Cgpv9t2pjagEEKkkJRgIYQQNY5ludBDlxIJXodlldz7aHf+itv7Gjb7shSmEwfKZZmcGPRz7rx5tN2+vcwiVwFFYXJia6MVdidU41lfiJff4BXnE+7Xu2z5/eG3ePnduiO1AYUQogqQEiyEEKLGsCw7evhCIsGbsMz6yXGbYyZu72vYHfNTmE4cCJdlcrwe5uRIkO6RcJnLnQEWJBa5mubSiFTTRa5Ki9WvQ/DKRPm1J368MwzcP0zF8+lYKb9CCFGKlGAhhBDVnmWpRCPnEAncimk2TY7b7PNxe1/F7vw9henE/nJaJt30MCdHQvSIhNB2K74FLhc/uzyMt7vYZHOkKOWRFatXOz7ze/ZJJeU3FsP9Y6L8bpbF3IQQYndSgoUQQlRblgXh4On4d92IGWudHFdtyxLld3J1vzo27Tksi+P1ECdHQnTXQ3isssV3h6oy1eXh98ws6NieZSvWEApFUpT2yInVq0Xw8vMJn30yOEqV35+mxcvvpm2pDSiEEFWYlGAhhBDVjmUphEO9mfvHHfiLjkqOq7ZcXJ7Xcbh+QlGsvTyDSCWHZdE1calzz3KK705VZarTw28uD0scTixFQXO5aFsDPtGI1a1F8PLzCPc/pUz5dU2YjveTMVJ+hRBiP0gJFkIIUW2YZm308ED00GAss0lyXFE34Pa+hcM1FkWJpTChqIg9UXxPqaj4KirTXB5+c2kscbiq9bZG5YnVySkpv87Epd4xE9cv0/F+PAbbxq2pDSiEEGlESrAQQoi0ZlkKsWgPIqGLMfQ+QMm9oE7nLlzed1BsI1CUaOpCinLZLYvjEjO+J+ohvLsV33xFZapL4zeXh8U1sPgCxOpkExxyHuFzT92t/M7A8+kY7Ou3pDagEEKkISnBQggh0pJp5hAND0QPD8KMNS9zzOb4A1/maDodu5qVK1cSCkkBrirslkWXUpc6Z+xWfAsUlWmJ4ruwhhZfgFjtbEJDziV03mlly++kmXg+HoN9/eaU5hNCiHQmJVgIIUTasCyIRU9AD19MNHIGpWd9FSUfh/tbnO4vsdnz0DQXqtoiZVlFCZtl0SUaX9X5xEiIDMssc7xAUZmeKL4LanDxBYjVyiopvy5nfNA0cU36PV5+121KaT4hhKgOpAQLIYSo8kwzi2h4AHp4MGasZZljNsdsnO5ROFwTUBQ9RQnF7myWRedohFMiQU6MhMjcrfgW7lZ8YzW4+AKYOVkEh/QndP7pZcvvr3/g+WQM9jUbUxtQCCGqESnBQgghqqT4rG/XxKzvmYCr5KBSiDM567s6ZRlFWWqi+J4cCdIrEiJrt+JblCy+GvMd7hpffAHMnEyCl55D6Pw+4E78GTdNXJP/xPPxt1J+hRDiMJASLIQQokqxzEz08PmJWd/WZY7Z7PNwaqNwuH5EUar/XrDpQLUsOiWKb+9yi6/CTGd8xnee040hxReAWFYG/qEDCV1wOmglH/A4J/+J93+jsedtSGE6IYSo3qQECyGESDnLgphxLHroYqKRswB3yUGlCKdrHE5tFDb7ipRlFCVUy6JjqeKbvVvx9SsKM6T4liuW6WPFeaexsVdXLHep8jvlT7wff4t99foUphNCiJpBSrAQQoiUsUwfeuR89NBgzFjbMsds9gXxe33dP6IooRQlFMUUy6JDOESPogJ6RYLU2q34BkrN+M6R4guAZbNhtGyM0bYFRtuWGG2aYxzVDBwlP345f5uF93/fYl+9LoVJhRCiZpESLIQQ4oiKz/p2jN/rG+4PaCUHlUCpWd9lKcsowGWZtDCitDKitA8W0GPzWjL1sguPBXcrvtEaXHwtm41Y80ZE27aIl952LTFaNS3Z3mg32ox5uD/4GvuqtUc4qRBCCCnBQgghjgjL9KBHzkUPX4xpHF3mmM2+ODHrO15mfY80y6KOGaOVEaWlEaVVTKeVEaVhzEAt5/SgovB7ovjOrqHF11JVYs0bYbRtkSi9LTGOalqyqnM51G07sS/PQ8tdR/vN29n06x+EQnJfuxBCpIKUYCGEEIdVLNqBSPhiouFzAE+pI0Ec7vE43aOwO5akKl6NYrcsmsWiicKrJ4vv7tsX7W67zc6GOrX5IaYwAxu6Ul49rp4sVSHWtGF8ZrdNC6LtWsQvaS51P+/u1O27sC/Pw748F/vyNTiW56HuKgBA01xktG2B7PYrhBCpIyVYCCFEpbMsjWj4HPTwxcSMY8ocU21LcWqjcLq+Q1EDKUpY/WUmZ3fjZbeVEaVpLLrXv/ijwFq7g9U2B7l2J7l2B6vtDgyvh7ZtW7B8eR56NZ69tFSFWJMG8Znddi2ItmmB0bp5mdWbd6fsLMCxPBf7sjzsK/KwL8/DtiP/yIUWQghxwKQECyGEqDQxox166GL0yLlg+UodCeFw/4DTPQqbfSE18Araw0a1LBrFjETR1WkZi8/u1jFje31cgaKy2u5gdamyu97mKHdBK62cx6c7SykuvC2S/0TbNAfNXeFjlF0FOIrL7rJc7CvyULfnI3+chRAivUgJFkIIcUgsy000cjZ6aDAx49gyx1TbisSs7zgUtShFCasPzTRpGYuX3eJLmZsbUdxYFT4mBmyw2cm1x2d3V9vixXenqlJTPo2wFIVY43oYbVokL2s22jTH8lZc75X8QuzL83Asz0tc2pyHum2nFF4hhKgGDrgEn3JKb26++bp9nrdkyVKeeuo5AGrVyuGcc86ic+eO1KlTC6fTSSgUZuPGjfz++2wmTJhINBot83in00m/fqdzwgndaNSoIZrmRtd1tm/fwfz5i/juux/Jz88/0PhCCCEqScDflMKdFxMM9Acrs9SRMA7Xj4kVnufXlJ5VuSyL+mYsPrNbvGCVodNwH7O7QUVJXsq82u4g1+5gjd1BpCbdwwvEGtUjWlx228UvabZ8ngofoxQU7VZ4c1G3SuEVQojq6oBL8IYNG/n++wl7jCuKQu/ePcjIyEDXdaZOnQFAixbNeOihe/H5fKxatZoZM/4kHA6TmZlB69atuPLKS+nVqwdPPvkskUj8PiNN03j00Qdo3rwpW7ZsZd68BRQWFuF2u2natDHnnnsWJ5/ci3/+8znWrdtwiG+BEEKI/WVZDqKRfgQLLmPz2t1nfVfjdH+Bwz0WVS1MUcL0Y4/FOCoSplEoEL+kORalhaHjsyqe3QXYrNqSZXd1YpZ3i2rDqoGfOliqgv/M3szufwr5jertvfAW+hOXM+fhSPyqbtkuhVcIIWqQAy7Bq1blsmpVbpmxnJxsbr31BjIyMsjLW8vrr7/Nhg0bAbj55uvx+Xx89NFn/Pjjz2UeZ7PZuPXWGzjxxO5ccslFfPzx5wBceulFNG/elBkz/uCNN94hFiv7yfdZZ53B1Vdfzi23XM9DDz1+oC9BCCHEATJj9dHDl6CHBmFZtUsd0XG4JsTv9XXMllnfA5BhxrhxxxZOW7cK214Krw7k2UvN7iZmegNqzZnd3Ru9S3v8t15O7KhmexxT/MHkvbvF9/Kqm7ZJ4RVCiBrukO8JPv7447jhhmvwer2MG/c9I0d+nSytzZo1pVmzJhQUFOxRgAFisRjffDOWE0/sTq9ePZIl+MQTewDw9ddj9ijAAD/99AsDB55HixbNadKkMevXy2ywEEJUNsuCWLQHkdAQDL0PYEses9nX0rzlJPzB/xHRt6YuZDqyLE6LBLnRn0/2blsT7VRVVttKLmVebXeywWbHlE8X9hBrWBf/TZein3x8csyzZTu2qXNgycr4tkQbt0rhFUIIsYeDLsEOh4OhQ4dwxhl92LFjJ//5zwssWbK0zDkNGzYAYOvWbRU+z+bNWwDIysokI8OHoihkZMRXFN2ypfwfrCzLYuvWrWRlZdKoUYMDKsFOpwObrfxPz51OR/JXbS/bIaSSy+Us82tVlQ450yEjpEfOdMgI6ZGzKmQ0TS+hwLkEiwYTM1qVPoLLPRVPxhdkZM2lSfOGrFkTQrXJ98v9VdeIcuPObXQNB5Njcxo25AfFwQpFpdC251/LVeHdrUrvpelxU3DpORRd0Bcc8fdLLSii9ojv6LQij3W5G4hE9PjJVfDv8qr0XlYkHTJCeuRMh4yQHjnTISOkR87qnDG0n9v4HXQJvvrqyzn99FMBqF27Fg8/fB+BQICtW7czadIUfv55UrJURqNGhc9jGCXHXC5Xhcd2V/ycuz9mX9q3b4lSwSfq9evXBaBhw7qoqlnuOVVF8+aNUh1hv6RDznTICOmRMx0yQnrkTEXGgL8JG9efzY5NpxKLlayaa3cU0aDRLzRs8hOaVvzhZMOU5TxQVSGjYln0WreOM1etx5W4wmmHpvFN+/asqh2/vLxB4p+qLJXvpaUobOh5LKvOPoVohhcAxYjR9LdZtJwwDUc4kvKMByIdcqZDRkiPnOmQEdIjZzpkhPTIWR0zzp+/bL/OO+gS/Ntv0wmFwqil7knKzMygW7cuDBs2FFVVCYVCB/v0h83SpbkVzgSbZnx806ZtrFyZdwRT7T+Xy0nz5o1Ys2ZjySfdVVA65EyHjJAeOdMhI6RHziOd0bJsREKnEiy6GD1yQpljducSPL4v0DwTMKwI69alLufBqCoZm+sRbtm5lTZ6vKTFgLEZ2YzMqoXij9C8NinPuC+pfi/Dndux64ZLiLZskhzTZs4j+/2vYONWcqtAxv2VDjnTISOkR850yAjpkTMdMkJ65JSMh1CCly1bwbJlK/YY79r1WO69906OP/44fvllMgAOR8Vfxm4vORaJRMrM0trt9gpng4ufs3hF6f2l69F9HtP16H5PpadKJKJX+YyQHjnTISOkR850yAjpkfNwZzTN2uihQejhS7DM+qWO6DhcP+DURmCzL0RRILyXGPJeVsxpmVweKOSiUFHyL9sVdgf/8dVitcMJkSha4oPkdHgf4cjnNBrXJ3DTpei9uybHbKvX4Xvzc5xzlmAAu/+UIO9l5UmHjJAeOdMhI6RHznTICOmRsyZnPOSFsXa3du16ADweD5s2bQagXr16KIqCVc7qlw0bxn/4KiwsoqjID0BRkZ+MDB8NGtQv935fRVGoV68eABs3bq7slyCEENWSZUHMOBY9dBnRSD/AkTymqJtwaiNxur9BVXemLmQ10VkPc7t/F41j8YoWRuFjbybfahmyyNV+ML0egleeT+jCM5P3/Sr5hXg/+Br3+CkoZtW+ZUkIIUTVVukluHbtWkB8hnbt2nWsXbueZs2acPbZZ+yxv7DNZuOiiwYAMG3azOT4jBm/069fXwYNuoDXXnt7jxWi+/c/k6ysTPLy1sjK0EIIsQ+W5SYa7k8kfBmmcXSZY3bHDJzaCOzOySjKnqvxiwPjM2NcFyjgrHAgOTbH4eK1jFpsLmfRK1GWpaqEzzmVwLUXYmVnxgejBtrXE/B8OgY1UPVusxJCCJF+Dvhv5Fq1cjj33LPLPebxaHTp0hmAefMWAvDWW+/y4IP3MnToZfTq1ZO1a9cTDofJzPTRuvVR1K9fj1Wrchk16pvk84wc+TVt27ahR48TaNmyBStWrKSw0I/b7aZZs8YcdVQrCguLePPNdw/mNQshRI0QizVBDw0hGh6IZWWVHFD8ON3f4nSPxGbPrfgJxP6zLE6OhLjZv4ucxLZHBYrKO75sJro8yAbK+6Z37YD/lsuItWqaHHNOnY3vvyOxbZRtuIQQQlSeAy7BWVlZ9O9/5h7jpmkSCoXZtGkzY8Z8xw8/xPcFzstby4MPPsY555xF584dOfHE7jidDsLhMBs2bGLChElMmPBLmRWkQ6EQjz32T846qy/dux/Pcccdi9vtRtejbN++g/Hjf2TcuB/Jz88/+FcuhBDVkGUpGPpJ6OHLMPTeQMlCgKptBU5tBE7XOBQ1WPGTiANSJ2Zwm38XPfRwcmyiy8PbvmwKVdteHikAjCb1Cdw0BL3Xcckx28q1+N78DOe8pXt5pBBCCHFwDrgE5+bmcfnlww7oMTt37uKTT0Yc0GOi0Sjjxv3AuHE/HNDjhBCiJjLNTKLhC9FDl2KaTUsdMbA7J+LSPsfmmCUTkpVItSzODfu5OlCAJ7HmxWbVxmsZOcxxavt4tDB9HoJDLyA08AxILJKp7CrE+/5XuH+YgmLuuY6IEEIIURnkBiUhhEhjsejRRMJDiIbPAdzJcUXZjlP7Eqf7S1TbltQFrKaaGzp3FO3iaCO+bUMM+Fbz8bE3i4hS/jZ8Is5SVcLnnUbgmguxsjLig3oU7euf8Hw2Tu77FUIIcdhJCRZCiDRjWQ6ikX7ooSHEjC5ljtnsc3Bqn+Nw/YyilL/FnDh4DstiSLCQi4OFyb9AV9kdvOKrxQqHM6XZ0oHe7Zj4fb+l9vt1TpmF7+2R2DZtS2EyIYQQNYmUYCGESBNmrD56+BL00CAsq3apIyEc7u9waSOw2ZelLF911zGx7VHTxLZHERQ+9WbyjZZBTK4z3yujSQMCtwxB79klOWZfsQbvm5/jnC/3/QohhDiypAQLIUQVZlkQi3YnEhqCofeh9LdtVV0bX+jK/S2KWpi6kNWc1zS5NpDPOaW2PZrncPFqRg6bbI69PFKYGV6CQwcQGnB6yX2/Owvi9/3++Jvc9yuEECIlpAQLIUQVZJoeIqEL0UNDMGNHlT6C3TklvrevYzqKIiXisLEseuvxbY9qm/Ftj4oS2x79LNse7ZWlqoTP7xO/7zfTFx/Uo2hf/ojn83GowfDen0AIIYQ4jKQECyFEFWJEm7Fy6XVs23AKluVNjitKPg7317i0Uai29SlMWDPUjhnc6s/nRL1kkaZfXR7+68umQLY92iv9+I7x+35bNE6OOSf/ie+dL+S+XyGEEFWClGAhhKgCLAv00JUUBO4GSi6xVe1LcGmf43B9j6JEUhewhlAsi/7hAMMC+cltj7aqNl7z5TDLJdse7Y3RtCGBm4eg9zw2OWZfkYf39c9wLlyewmRCCCFEWVKChRAixUwzi1DRUxj6aQAoShSXNgGb81Ns9gVy1e0R0tSIckfRTo5JbHtkAmM0H//zZhGWbY8qZGZ4CV41gNCAvmCLz5KrO/LxvvclrgnT5L5fIYQQVY6UYCGESCFD70qw6Dkssz4Adsdyuhz/Gus3TCcUkpnfI8FuWVwaLOSSYGFyDj7X5uCVjByWOVwpzVaVWTZb/L7fqweWue/XM+oHtM+/Qw3Jfb9CCCGqJinBQgiRApalEgneQCR4CxCfPXO6R5BT51U83oapDVeDdIhGuKNoJ80S2x7pwGeeLL7yyLZHexPp3onAzZcRa94oOeaa9Dved0Zh27I9hcmEEEKIfZMSLIQQR5gZq0Ow6Gli0Z7xAaUQT8Y/cLgmoKgy83gkeEyTawL5nFdq26P5Dhev+XLYYJdtjyoSbdqQ/GsvItq9c3LMviwX3xuf4Vi0IoXJhBBCiP0nJVgIIY6gqN6LUOG/sKzaANjs8/Fk3o9q25DiZDXHiZEgt/jzqWPGAChSFN7zZvOT2yvbHlUgluFl6YVnsqnXcSX3/W7flbjvdzqKJff9CiGESB9SgoUQ4giwLDvhwO3ooWHJMaf2Pm7vqyiKkcJkNUetWIxb/LvoXWrbo99cGm/5ctgl2x6Vy3LYCQ3oy/ahF2D5Elt2RXQ8X/yAZ8R3KGG5b10IIUT6kRIshBCHmRlrRLDwOWJGfOsYRdmJlvF/OFxTU5ysZlAsi7NDfoYF8vElZiy3qTZe9+Xwh2x7VC4LiJzWncB1gzEb1UuOeyb/gfutkdi27khdOCGEEOIQSQkWQojDKBrpS7DoCbAyAbA5/sCT8QCqbVuKk9UMdQIBhm7dQIdIfKViE/jO7eNDbxYhVbY9Kk+0Yxv8Nw3B6HBUcsy5dDWdf5rK1p+myarlQggh0p6UYCGEOAwsy0nYfy96+LLESAyX5y1cnrdRFDOl2WoCu2UxqGAnl6xbhT0x+7vGZuc/GbVYKtselctoXJ/A9Rejn3J8ckzduBXfO6PI+nMB2W1bsDWF+YQQQojKIiVYCCEqWcxoQbDwecxYewAUdQuejAewO2elOFnN0FEP8zf/ruS2R1FghCeTUZ5MDFn4ag9mpo/g0AGELugD9viPBUqhH88nY9DGTESJGiiafHAghBCi+pASLIQQlUgPn0+o6GHAA4DdORkt42FUNT+luWqCTDPGdf58zowEk2O52dm8rGWy0pDVi3dnORyEBp1J8LLzsHzxP6/oUbTRP+P5dCyqP7j3JxBCCCHSlJRgIYSoBJalESr6P6KRAYmRKG7vv3FqH6MoUsAOK8vizEiAYf4Csqz4peaFisrHOXXYcFwnNqxYA4bcx1rMUhQip/ckcN0gzPp1kuOuiTPxvvclts3bU5hOCCGEOPykBAshxCGKGW0JFr6AGWsJgKKux5N5L3bH4hQnq/6aGlH+5t9Fp2hJyZ3g8vCeL5uo10Nbufy5DP3Y9gRuHoLRtkVyzL5wGb63RuJYujp1wYQQQogjSEqwEEIcJMsCPXwpYf9wIH7PpMP1A5rvcRTVn9pw1ZzTMhkSLGJQsBBHYmydzc5rvhwWOt0AyOZHJYxmDQnccAl6r+OSY7b1m/G+/QXOaXOQjwqEEELUJFKChRDiIFhmBsGif2Do/RIjYTTfszjcXyKTj4dXVz3EbUW7aGjGANCJL3z1pSx8tQczJ5PAVQMJn3sq2GwAKAVFeD8ajXvcryixWIoTCiGEEEeelGAhhDhARrQzwcLnsMzGAKi2VXgyh2Ozr0hxsuotJxbjxsAuTo2EkmNzHC5ez8hhk82xl0fWPJbLSXDQWYQuOwfLk5gT16NoX/2E5/NxqIHQ3p9ACCGEqMakBAshxH6yLAU9dDXhwB2QuAjX4f4azfcMiiKl4nBRLYv+YT/XBArwJvb83aWovO3LZrLLg0y9l7BUhciZvQlcexFm3VrJcdeE6Xjf/wrb1h0pTCeEEEJUDVKChRBiP5hmLUKF/8SInhQfUAJovidwusenNlg118rQub1oF+0MHQAT+N7t5SNvNn5VTW24Kkbv2gH/TUOItW6WHHPM+wvvWyNwrFiTwmRCCCFE1SIlWAgh9sHQuxMsehrLrAeAal+CJ2M4NvvaFCervtyWyZWBAgaE/NgSY6ttDl7NyGGZw5XSbFWN0aIxgRsvQe9xbHLMtmYj3ne+wDljnix6JYQQQuxGSrAQQlTAsmxEgjcTCd4IxGcdndonuL0voSjR1IarxnpGQtzs30W9xMJXYRQ+8WbyrZZBTC59TorVyiJ4zUWEzz4ZbPE/n8quArwfjsY9fjKKaaY4oRBCCFE1SQkWQohymLH6BIueIRY9HgBFKUDLeASHa1KKk1VfdWIGt/jzOVEvub96ptPNW74cttrkr6tilttF8OKzCV56DmiJWfFwBM+oH9FGjkcNhVMbUAghhKji5KcKIYTYTTRyCqGip7CsHABs9jl4Mu9HtW1OcbLqSbUsBoT8XBkoQCO+8NU21cZbvmxmODVZ+CrBUhXCZ59M8JqLMGtnxwdNE9dP0/B+8DW27btSmk8IIYRIF1KChRAiwbLshAN3oYeuSoyYuDzv4vK8gaLIfqqHQ7tohL8V7eKoWPzy8hgwRvPxiSeLkCx8BYAF6N07EbjhEmKtmibHHbMX4XtrJPbV61IXTgghhEhDUoKFEAKIxZoQKnyemNERAEXZjifzQezOmSlOVj15TJNrAgWcE/ZTXHWX2Z286sthtcOZ0mxViXFUM/w3XUK0W8fkmC13Pb7/jsTx50JZ9EoIIYQ4CFKChRA1nh4+i5D/MbAyALA7pqNlPoSqyp6qlc6yOCUS4sbALmolFm4KKAofebMY7/ZhyqXPAMTq5BC49iIi/XpDYkZc3ZGP58Ovcf8wVRa9EkIIIQ6BlGAhRI1lWW5C/vuJhgcnRgxc3tdwae+jKFZKs1VHDWIGtxXtolu0ZOGmKS6Nt7057LTZ9vLImsPU3ISGnENw8FngTix6FYrgGTkez6gfUMKR1AYUQgghqgEpwUKIGilmtCJY+AJmrA0AiroJT+Z92B3zUhusGrJbFoOCRQwJFuJKLHy1SbXxRkYOs51aitNVDZaqEjq/D4GrB2LlZMUHYybuH37D8+HX2HYWpDagEEIIUY1ICRZC1CiWBUH/APy77gXiBczu/AUt41FUtTC14aqhjnqYv/l30SxmAGAAX2kZjPBmElFk4SsL2NahNZvuugajacPkuPP3+Xjf/gJ73obUhRNCCCGqKSnBQogawzS9LF10J4U7T06M6Lh9L+B0fy678FSyTDPGsEAB/cKB5Ngih4vXfDmstTtSmKzqiLZpTuGtl7Ouc7vkmG3lWnxvj8Q5e3EKkwkhhBDVm5RgIUSNYEQ74t/1LDGjGQCqLQ9PxnBsjqUpTlbNWBZnRIJc588ny4ov3lSoqLznzeJntxdLPm0gVq82gesGETmjV3LMtn0Xnve+xPXzdBRT7kcXQgghDicpwUKIas2yHEQCtxIJXQvEF19ye8bj1B5HUYOpDVfNNDWi/M2/i07RksWbJrg8vOfLplCVha9Mr0bwsvMIDeoHzvhsuBIM0+rX34m8N4pIvj/FCYUQQoiaQUqwEKLaMqIdCBU9VbL4leKnzdEfUlD0IWFZZbfSOC2TS4NFDA4WUnyh8zqbndd8OSx0ulOarSqw7DbC5/UhcNUArKz4NlzEYrjH/UrtUd/Tsl5tlkeiqQ0phBBC1CBSgoUQ1Y5l2YkEbyYSvI7ib3N2xwxy6j5Fg0YahctTm686OTYU5PqdW2lkxhe+0oERnky+9GRi1PBLny1A792VwI2XEGvSIDnunD4X7ztfYF+7CZvmgnq1UxdSCCGEqIGkhGwDjgABAABJREFUBAshqpVYtD3Bon9ixtrGB5QAbu+LON2jsNldQItUxqs2smMGQxYu5NhtW5JjcxwuXs/IYZNNFr6Ktm+F/+YhGJ3aJsfsy3Lx/nckzvlyH7oQQgiRSlKChRDVQnz29wYiwRsgcVGuzfE7noxHUW0bUxuuGtFMk3PDfi7dXoQ3sfDVLkXlbV82k10eavoy27GGdQlcN5hInx7JMXXLdrzvfYVr4kwUSxa9EkIIIVJNSrAQIu3FjLYEi57CNI5OjARx+17C6f4CRZHSURl8psn5oSIGhvxkJMqvCUzwZfKeKwO/WrP3/DUzvASvOJ/QwDPAEf+rVfEH8Xw+Du3rCSi63PMrhBBCVBVSgoUQaSs++zuMSPBmSmZ/Z+HJeATVtj614aqJTDPGwFAR54f8eEvNYi52uZnSqSM/b80nFKq5i4xZDjuhAX0JXnE+VqYvPmgYaGMm4fn4W9RCWfFZCCGEqGqkBAsh0lLMaE2o6ClixjGJkRBu779xap/L7G8lyInFuChUxLkhP25K3s85DhcjPJmsysqibXY2bM1PWcZUsoDIqScQuP5izEb1kuPOKbPwvjcK+/otFT9YCCGEECklJVgIkVYsy0YkdA2RwK2AEwCbfQ5axiPY7GtTG64aqBMzGBws4uywP/Huxv3udDPCk8kyhwsALTXxqoToMa3ji151aJ0cs/+1Ct9bI3AsWpHCZEIIIYTYH1KChRBpI2a0Ssz+dkqMhHF7X8GpfYqimCnNlu4axAwuDhZyRjhA6bWdpzo1RngyWe1wVvjYmsJoXJ/A9Rejn3J8ckzduBXve1/i+vUPavaSYEIIIUT6kBIshKjyLEtFD11FOPA3ID4TabPPR8t4GJs9L6XZ0l1jI8qlwUL6RILYEmMxYIrLw0hPJmvtst2RmekjOPQCQhecDvbEoldFATyfjEH79heUqJHihEIIIYQ4EFKChRBVWsxokZj9PTYxEsHtfRWn9rHM/h6CFobOpcFCTo6EKF7X2QAmur2M0jLYIOUXy+EgdOEZ8UWvfJ74YNRAG/0znk/HohYFUhtQCCGEEAdFSrAQokqKz/5eSThwO+AGwGZfkJj9zU1tuDTWOqozJFhILz2UHIsCP7m9jPJkstUmfy1YikKkTw8C1w3GbFAnOe6a9Dve977EtmlbCtMJIYQQ4lDJTztCiConZjQjVPQkMaNrYkTH5X0Dl/YhihJLabZ01T4a4bJgISfo4eRYBIXvNS9faRnskPILgN65HYGbLsVo3yo5Zl+4HN9/R+L4a1UKkwkhhBCisshPPUKIKsOyFPTQ5YQDd1K8/rDNvjgx+7syteHSkWXRKVF+u0RL9vINofCd5uNrTwb5qm0vT1BzGE0bErjhYvTeXZNjtvWb8b4zCufU2bLolRBCCFGNSAkWQlQJsViT+OxvtHjl3Sguz5u4PB+gKLLw0AGxLLpGwwwJFNLR0JPDAUVhjJbBaM1HkZRfAMzsDAJXDSR83mlgi78nSkER3v99i3vcJBRDrjwQQgghqhspwUKIlLIsBT18KWH/XUB88SHV/heejIex2ZenNly6sSx66GGGBAtpV6r8FioqozUfY7UMAqq6lyeoOSyXk+CgfoSGnIvlTex6rEfRvv4Jz2ffoQaCqQ0ohBBCiMNGSrAQImXMWCOCRU8Qi/ZIjERxed7G5XlXZn8PgGJZ9NZDXBoo5KhYNDm+S1H52pPBd5qPsCLlFxKLXp3Zi8C1F2HWq50cd/08He97X2HbuiOF6YQQQghxJEgJFv/P3nvH13Gdd/rP9JlbcNEbCQJsIEWK6lSXZXXJcmTHsuXYSWzHv2zatmRLskk2jp11kk3Zkt2s05xs4k2xJEdusrply5KsLquRFHsBC3q7fdr5/TEXFxcEQIIUyr3keT6f4cycOWfmncsLYL7zvud9JZJlRwhwCx+jkP33IOIAqNoeYsnfRDPeXWHragdVCG4s5vh4bpI1wfRLg2FV42tOksecOK4Uv2XcSy8g+/M/gb+xu9xmvPEu8b/4KsaeQytnmEQikUgkkmVFimCJRLKshEEH+fQX8L1rSi0+VuzLWLG/kN7fBaILwc2FLPfl0nSG059Zv6rxYKyOJ+04viJTOU3hdncy8akP4151cblNO3KC+F/ej/nCGzLplUQikUgk5xlnJYL/9m//AtM05jyWyWQ4dOgI//APD3D48BEATNPk9ttvZvv2y+ns7MBxbFzXZXh4hDfffIfvfOdxxsfHZ53r6qu3c+ON19PT000iEScMQ8bHJ9i9ey+PPvokBw8eOhvzJRLJCiAEeIV7yWf/A4gEAKq2N5r7a+xcYetqA0MIbitkuS83SWs4nbDpmKZzf6yO71kxAil+ywQNdez62J30X3kxaJFHXBmbJP53X8d+5AcogUx6JZFIJBLJ+chZieAnnngKbZ6aki0tTVxxxWX86q/+Mr/8y7+Grut87nP/ie7uLgYGBnnjjbeYnExj2zZdXau4++47uOGGa/nd3/1D+vqOlc/z8z//WW688XoymQw7d+5mdHQMTVNpbW3h6qu3c/XV2/nLv/y/PPfcC2d35xKJZNkIgzby6c/je9eXWgIs52+w4n+GoninHCsBS4Tcmc9ybz5Nc4X4PazpfDVWx7NWjFCKX4Su4W3ZgHf5VtzLtuJvWlsWvxRdYl97HOer30HNFU59IolEIpFIJOc0ZyWC//EfHzzl8d/7vd+mp6eb1as7ufHG6+nu7uKFF17mS1/6K4KT3rzfccetfPrTn+QXf/Fn+Y3f+AIAV155OTfeeD3Hj/fzhS/8Hul0ZsaYtWt7+MIXfoOf/dlP8/bbO5iYmDyb25BIJEuMEOAVP0w+86sgkgCo2n6c5H9GN95ZYeuqHycMubuQ4SO5NPUiLLfv0w2+GqvjBdNBnMfiVwBBzyrcy7dGwveizeBYMzuFgvjTL2B9+WtoQ6MrYqdEIpFIJJLqYtHnBPf2bqCjo70cunzNNVHW14ce+tYsAQzwxBPf5cMf/mBJNK/i6NFjXHddNFfw8cefmiWAAQ4ePMRrr73BVVddwVVXXcETTzy92LchkUjeI2HQSj7z2/ju+0otAabzd9jx/4OiuKcce75jex4fmxjl7slxkhXi913d5J9idbxi2nCeit+gqR7vsi24l1+Id9kWwqb62Z1cD+OdvcTe3s0F/UMcf/Y18vnistsqkUgkEomkOlk0EdzY2MB9932E66+/BlVVefDBrxMEAclkNPdvYGBwznFCCAYHB0ml6ujsbOfo0WN0dLSXxgzMe73+/uhYZ2fHGdlpmgaaNne21Kl5zqZp4JzsTagSLMucsa5WasHOWrARasPOShuFgEL2bjJj/x4h6gDQ9MOkmj6Pab0NKMDy/3xtKeS5eXyYxrfTZLN5wjA8/aAVwMgrXHzsIHbFS8Mdls3XUo28ZTmgKDgraN8Uy/W9DG2L4oUbKVy6hcIlF+B1d87ZzzjQh/3GLuw3dmHt2Ita9LAsk0R3Z8387FQztWBnLdgItWFnLdgItWFnLdgItWFnLdgItWHnuWzjQl96v2cR7DgOH/rQ3dx5562YpsnRo8f5+7//Km+99Q7NzdM1GH1//qyvnhcds6zowXhKjE61z8XU+abGLJTNm9eizONBaWtrAaCjowVVrc4H5Cm653kQrDZqwc5asBFqw8729i3s3fXzTIxuL7WErF7zMN3rv4qmuUDPstvUMzbGrQcOsH5sLGqoodkTexsbeXrtWg41NADQu8L2zMVify9DVSHd1cFI71pGe3uY6FmF0LRZ/ayxSRr3HKRp7yEa9hzCyuQqjFq1pDYuBbVgI9SGnbVgI9SGnbVgI9SGnbVgI9SGnbVgI9SGneeijW++uXtB/c5aBKuqyq233sRHPnIPdXVJhoaGeeihb/GDHzyPEOJsT7vkvPvuwXk9wWEYtZ84McS+fYeW0aqFY1km3d2dHD58nGKxekNKa8HOWrARasNO0zSJ2fexZ+dnCcMp7+8RUk1fwOdN9u9ffps2FfP8xPgoFxXz5baMqjKaTFIsulXrCVZVlVyqjn82HHaoOgxNREuVsVjfSwH4na0ULrmAwqUXUNi2CZGIzeqn5PLYb+3GfuNd7Dd2oh8dQCF6pzHfe41a+NmpBRuhNuysBRuhNuysBRuhNuysBRuhNuysBRuhNuyUNp6lCK6rS/If/+O/Zf36dUxMTPKVr/wTTz31vVneXtedNljX9Xm9wYYRmVEsFkvjvBntcxquzxyzUKbOfapjrutV/fyxYtGtehuhNuysBRuheu0UYR1jQ79DMX9Luc10/h92/H8RhAXy+VMMXgI2e0V+KjvBZd70Z5VWVB5ykjzZ2ETX5nXs2XOoKj9LAMex6O3tqWobKzmb72WYSuJeekGUzOryrYRtzbM7BQH6zv2Yr+3AfH0H+rsHyyWN/NKylDYuN7VgI9SGnbVgI9SGnbVgI9SGnbVgI9SGnbVgI9SGneezjWclgn/pl/4F69ev4+mnn+Hv//5+CoW5y01MTqZJpzMkkwna29s4evTYrD6KotDa2grA8eP9AJw40c/q1Z20t7fx1ls75jx3R0dbacyJs7kFiUSyCPjexeQm/xARRqEqmn4UO/5b6Oary27LJq/IT2YnucKb/n2UVhS+4ST5ppMkp6o46txRIJKlRZgG3oUby1mc/Y09c/bTDh/HfG0Hxus7MN58V5YykkgkEolEsiScsQh2HJuLLrqQ/v4Bvvzlvztt/xdeeInbb7+Fe++9hz/907+clSH6rrtuI5Wq49Chw2WR/PzzL7B9+2XceedtvPjiK0xOpmeMWb9+HZdddgmu6/LSS8v/sC2RnO8IoVDMf5Zi9l8x9WukvfMpQvULFIvjy2pLr1fkp04SvxlF4esV4leyvAhFwV/fVfb0ehf2whyJLZSxCczXdmK+vgPj9Z2yhJFEIpFIJJJl4YxFcDweByIx/NM//YlT9n3ooW9x//0P0du7kauu2s7atT3s3buPyckMtm2zZs0q1q9fx+Rkmj/7sy+Xx7388ms888xz3Hjj9fy3//Z77NjxLqOjY2iaSmtrCxdeuAUhBF/+8t/JGsESyTIThk3kJ38P37s2alAypBp/l94te9mzZ/linzd6RX4yN8mV7rT4zZY8v99wkmSl+F1Wgtam6Xq9l16AqK+b3alQxHhrD+brOzBf24F28ChKFeeQkEgkEolEcm5y1omxUqkUd9112yn7PProEwwPj/Dbv/273HHHLVx55RVceunF2LaN63oMD4/wyCOP8/DDjzM+Pj5j7F/8xd/wxhtvc9NNN7B5cy/xeIwwDJmYmOTFF1/mkUee4ODBw2drvkQiOQt892pyk7+PENEcTk1/B6fuP+LEh1iuzM8bPJefzE1wVYX4zVWI34wUv8tCGHcYvHAjozdfQ/6SzQSr2+foFKLvOYRREr3Gjv0o3vx5GSQSiUQikUiWgzMWwcPDI3zyk589ozGe5/Hww4/x8MOPndG4l156hZdeeuWMxkgkksVHCI1i7pco5n4WiESm6XwFO/4/UBSf5aj7u74kfq8+Sfx+y0nykJMgo84uoyNZfLxNa8nfdxfFGy7n6Byli9Tjg2VPr/GjXajp7ApYKZFIJBKJRDI/77lOsEQiObcJgzZyk39I4F8GgKKM4ST/M4b1g2W5/jrf5Sezk1zjTodaR+I3wdedJGkpfpccoSi4V19M/r678C7aNOOYms6i/2hnlMX5tR1oJ4ZWyEqJRCKRSCSShSFFsEQimRev+H7y6S8iRAoAzXiNWPLXULWBJb/2Wt/lk9lJrqsQv3kUvu0keCiWZFKK3yVHmAaF264l/7E7Cbo6yu1KLk/iiefZfPAo/d97kUJWZnGWSCQSiURSO0gRLJFIZiGEQSH773DzP1VqCbFif4kV+3MUJTjl2PdKT8nzWyl+CyXx+89S/C4LYV2C/IduJv+hWxEN0wmu1KFRnK8/if3wM8TDgFRvDwOhTGwlkUgkEomktpAiWCKRzCDw15BL/xGhvwUARR0ilvxP6ObLS3rd7pLn94aTxO/DToKvSfG7LPir2sjfezuFO64He3qet7b/CLEHHsP6/ksofukliLP088AlEolEIpFIlgIpgiUSSRm38AHymc+BiEqh6cZzOHW/iaouXf3WLt/jJ3MTXF/MM5XXuYDCd0rid0KK3yXH27KB3H134l53GVRk1zZeeZvYg49hvLYDZQXtk0gkEolEIllMpAiWSCQI4ZDP/Ce8wkdKLR52/H9hOn+HoixNuGuX7/GJ3CTvK+bK4reIwiNOnK/F6hiT4ndJEaqCe+1l5O67E3/rxukDvo/19IvEHnwc/UDfyhkokUgkEolEskRIESyRnOcE/gZyk39MGKwHQFGPEav7VXTjrSW53mrf45NS/K4YwjIp3HE9uY/eQbiqrdyuZHLYD38P5+tPoQ2PraCFEolEIpFIJEuLFMESyXmKEOAVPko+82uADYBuPkks+XkUdXLRr7eq5Pm9sZhjSua6wKNOggecOsbmqDkrWTzChjryH7qF/D03I1LJcrs6MIzzz09gP/oD1JzM8iyRSCQSieTcR4pgieQ8RIQJ8pnfxiveWWopYif+ENN+AGWRJ392lsTv+yvErwc8aid4MJZkRJO/hpYSv6uD/EfvoHD7dWAa5XZ9zyGcBx7F+sGrKMHSZvyWSCQSiUQiqSbk06dEcp7he1vJT/4RYdgFgKodJFb3H9D0PYt6nY7A4xPZSW46Sfw+Zid4QIrfJUUA3rZe8vfdhXvtpTOOmS++ifPgoxhvvCuTXUkkEolEIllxBAoi1kCYaCNIthEm2nAbOjnQVE/Q9+eQP7Ho15RPoRLJeYIQ4OY/RSH7y0DkETSsb+IkfxdFyZ9y7JnQHvh8IjvBzSeJ38ftOA/E6hiW4nfJEKpK8YbLyd93F/7mddMHXA/7uy/gPPgY+uHjK2egRCKRSCSS8wYBCKeBMNFKWBK3kchtJUy0ldvCRAto5qzxE0DdeB7ru/910W2TT6MSyXlAGNaTT38R372x1JLDSX4R0/72ol2jIZ/nl0YGeH82PUP8PmnHuT9Wx5AUv0uGsC3yd91A/t47CDtayu3KZAbn29/D/sZTaKMTK2ihRCKRSCSScwUBCDtVIWIjQRuUxW5J5CZaQbfO6hqKlyeeO46z/ynCxTUfkCJYIjnn8d3LyaX/ABFGmYBV7V1idf8RTT/0ns5bFwZs9F02eB4XZHwu79uPJqJySj7wRMnzOyjF75IRNKbI//itFH7sZkQyXm5Xjw8S+9rj2I8/i1JwV9BCiUQikUgktYIAhFU3LW4rBG1QFrythMlW0O2zu4hXQM0MoKYH0DIDqJlB1PRAuU3NDKJmBoipLpt6e9gzcIjFi1ecRj6dSiTnKEKoFHM/RzH3C1DyzZr2P2En/hhFOTNhlAwDNvgeG32XjZ7LRt+lNZydTMkHnrLjfFWK3yXF7+4k/7E7Kdx6LRjTn7O+az+xBx7FfO41lHBp6jtLJBKJRCKpXcJ4M7l113Bo/SWMdei4TjNBRWgyxlmKW79QErSRiNUqBG1Z5GYGUQoTC8pJojhn50FeKPIpVSI5BwmDFnLp3yfwrooalEliyc9hWN897dhEheDdUBK87XMI3ik84Ihh0d/eyj8EKoe8pQhakQjAu+QC8vfdiXvVxdMHwhDzhTeIPfAo+jt7ZbIriUQikUgkQPTsEDSuxevajt+1Ha/rSoLGtQAML/QkgTvDQxt5cE8St+mBBYvbakGKYInkHMNzryM/+bsI0QSApr9JrO5XUbXZCZESYch6PxK6U6K34xSC1wcO6Qb7dJO9usk+3eSgbmDEbHp7exjYcwi84hLd2fmJ0DSKN24nf9+d+Bt7pg+4Hvbjz+F87XH0o/0rZp9EIpFIJJLqQKg6fvtWvNXb8bqiRcSb5+yrhH7kmU33zwhJ1iq8tmp6ACU/jsK5F10mRbBEco4ghE4h+69x858tt1nOX2PF/xRF8YmFIRumxK7vstHz6Az9ec8XAIc0g31GJHj36gaHdBNvjkLCxuzhkvdI6Njk7n4/+Y/cTtjWVG5Xxidxvvk0zre+izqeXkELJRKJRCKRrCShGcdfdVkkeFdvx1t1KZixOfuqE0cxjryMcfRVEoNvsLXJZ++eg+Tz56fzQopgieQcIAxWkZv8AwI/CpONc4ht8V9hM6+zMR2FNq8KTi14j2gGew2TfbrB3pKH11XUZboDyRR+Uz17P3gTx666GBF3yu3a0X6cBx/HfvJ5lKJMdiWRSCQSyflGkGjFr/Dy+m1bQNVmdxQh2uC7GH2vRMvRV9EmpyMCTcdCaepZPsOrECmCJZIaRy+8n9Xpe9jMc2zmT9nEC3RzFLJz9w+APs1grz4leiPBW5SCd0Xx168h97E7Kd50FejTf9D0t/cQe/AxzBd+JJNdSSQSiURyniCAoGn9tJe3azthY8/cnf0CxvE3MfpeRu97BePo66jFyeU0t+aQIlgiqSFsEbLO99jouWzwfTa4CbrE36Py/+bsHwJ9mj49h9cw2S8Fb9UgAO+KC8nddyfe5RdOHwgFzguvY331EYyd+1fMPolEIpFIJMuDUI1oPm8pgZW3+gpEvGnOvkp+fNrL2/cKev/bKEFtR4kpCLpTAVtbXLa2eGxrD2hNjfAbIwleO7r415MiWCKpYmwRckd6git27KBleIROz2Vm0EumvBUCRysE717D5IBuUJCCt+oQukbx5qvJfexOgnVd0wcKRRJP/ZCL3trN0R/+6LydpyORSCQSyblOaCbwV580n9dw5uyrjh/B6HsVo+9ljL5X0Ib31XSyKkcP2dzscWGLx9YWj60tLluaPZLWyfeU5e4N8NrRxKLbIEWwRFKFqEJweyHLT2UnaBRzlxw6wgbe5VL2agkOxr/PQcMlr0rBW82E8RiFH3s/+R+/jbC5odyujE7gfOMpnG8/TdzzifX2rJyREolEIpFIFp0g0VZRqmg7fusF887n1Qd2RmHNfa9iHH0FLV2rVSAE7YkgErrNHhe2Rl7edfU+2ikeWXOewu5Rk0NuK3/zlkY0mW9xkSJYIqkmhGC7W+Cz2XG6KxJZDTsOuzB52/0AO4NPsoeLyBLDjv93TOfviRI2SwFcrQRtzeQ/chuFD7wPEatIdnX4OM6Dj2E/9QKK50WNS1wcXiKRSCQSydIiAK9xPfnWS6bn8zasmbuzV8A4/qNSaPPL6Md+hFqsveoPhirobZz27G5t8dja6tHkzO3MmeJERuOdQYMdQwY7hkx2DBkcGNex7Kj85kj+EFIESyTnMOs8l5/NjnNJRZ3dg5rB3zc2M7jubt587V8TBN0AqOoR4nU/h27sXClzJQvA6+0h/7E7Kd64HbTpt73GG7twHngM8+W3UETthjNJJBKJRHK+IFAQVhJhpwidFMKOlnBq7dQj7BTp+k5OrL4Mz0zNeR4lN3rSfN53UEJvme/mvdFol7y7FYK3t8nDnMOxPYUXwJ7RSOy+M2iWRK/BaOEUg5YQKYIlkhWmOfD5dHaCm4q5si93WNX4f7E6nrLiBP5Pk3n53yFEVI3XsB7BSfwOijpP+mfJiiIUBffKi8jfdyfeJRdMHwgCrGdewXnwMYw9h1bMPolEIpFIzlcEIMxEJGCdFKFdP0PUTgla4dRPi9upNrtu7vDl06COHa4QvS+jjexHWfxbWxJURbC23mdri8eFU97dFo/O5Kk9syN5lR1DBjtL3t13Bg32jBp4YfXcuRTBEskK4YQh9+Um+XA+g1VKbpBH4WuxJA/FkuTCNRQmP4fvXRMNUAo48d/HsB8qhT9LqglhGBRuvYb8x+4g6F41fSBfwPnOMzgPPYk2MLxyBkokEolEcg4ggNCMz/TEVgjaaHs+UVsH6hLIn8BFyU+gFibQi+O0un3k33ma8MCLaJmBxb/eEhA3wpmhzC0em5s94sb8EWuhgP1j+oxQ5h1DBicyGlS51JciWCJZZjQhuLOQ4Sezk9SXkl4FwON2nH+IpxhVTNz8pyhkfxGI5o/G4n04yX+PH+xaOcMlcxLWxcn/2M3kP3wronE69EkdHsP5+pPYD38fNZNbQQslEolEIql+hGYRJlqjJdlGkGgjTLaV2toYr2vnRLIZ764EaMbiGxD6KPlx1MIESmlR86V1YbwscqePjZeOTYCXL0s+x7Ho7e1hz95DVVHlQUFg6wJLj9a2BqkEXNM8yJ3JUTY15Nna4rG23j/leTKuws4hg3cqxO67wwY5vzZz0kgRLJEsF0JwdSnp1eqKpFcvmzZ/Ha+nTzcIvAvIZT5P6G8pHfWI132FSy9/in37D+DnV8Z0yWyCjhZyH72Dwp03gD2dzEo70Efswcewnn4RxV/8RA4SiUQikdQSQjMJ4y3TgnZK4J4kckWs4fQnOx1hUBamSmGiQriWxG1Z1E7MEryKm11i36XA1IiEqC6wtWlx6pTarFLbXMu8x7STRO6stvns6ZvX0iMTWhTOPGyWklaZHJ7QEFXu3T0TpAiWSJaBjV6Rn81OsK0i6dU+3eCv4/W8adoI4VDI/BJu/qehVAlY09/ESX6BRPIIqtazMoZLZuFdsJ7cfXfiXn85VJSkMl57h9gDj2G8+s459CdCIpFIJJK5Eao+LW4rxOwMkZtoRcSbzvoaSnYENTOAmhnAzA/TYvuMH+/DT4+UPbEzRG8xs2z1c3VVsCoZ0JPy6U75dNf79KR8VqdC6uMnUK5wsbRwhoBVq+wBoeArvDuss2PYLCWsioTvZLE2vbtnghTBEskS0hr4fCY7wfuL0+GwQ6rG38VTfM+KIRQFz72GfPpziHB1qUcOO/4nmM5XUZQQkCVzVhqhKrjXXEruY3fib+udPuD7WN97mdiDj6HvP7JyBkokEolEskgIRSNMNFd4aqc9uGGijaC0FvHms76GkhtFTQ+gZgZRMwNomYHp/fRASfgOzcia7DgWG3p72LNn+cKMk2ZIT30kcntS/oztVXUB+rxacfHsK/iRWC34CkVfIe8rFAOl3FY+VmrLl/pNteVPHusrCM0k1rqGp98YIpNzF83WWkKKYIlkCYiHIR/PTfKhfJqpWSs5ReH+WB3fdBK4ikoY1lNI/0e84j3lcbr5DE7ii6harRZFP7cQlknhtuuiZFer28vtSjaP/fD3cb7+JNrQ6ApaKJFIJBLJ2ROkuihuvJXM+hsYa+kme1M9YawJlLPzBCr58WkRWxK10wJ3SvQOoQQrP1cWouzHnYmA7gpxG3l1Iw9v42lq3FYynFM5PKFzPGuiOXUMjmbJFMI5xWqlUC34CoVgplCN+hEJ1iWIL3Mci954gkCcvwk7pQiWSBYRXQjuzmf4RG6SuoqkV4/YCf4xXseEqiEEeIW7KWR+FSEaAVCUEezE72NYj8vMz1VAWJ8kf88t5D90M6K+rtyuDo7gPPQk9iPPoGblBG2JRCKR1BZCUfE7L6G48VbcjbcRtG5a0DglPzEtYitErlby5KrpAdTsIIpfHeK2krgRRsK27MkNyttddf4pa9tW4gXQN6lzeELn8ITGofGpbZ1DEzoZN3pxUE6MtYwea8mZI0WwRLIYCMF1bp6fyUzQGU4nvfqh6fB/4ymO6ZE/OAw6yad/C9+7vtzHsB/Cjv83VHVy2c2WzMRf3U7+o3dQuP06sMxyu773MM6Dj2F9/2WUQCa7kkgkEkntIIwY7robcDfeSnHDLXOGMRuDu2hyj5E9cZBw7HgUolwRrqz4hRWwfGEoCNoSAd2pYFbIcnfKpyW+cG/uWEHl8LhWFraHJ/Sy2D2e1giE9FScK0gRLJG8RzZ7RX42M84Wf3pOxW7d5K/jKd4xbQCE0HDzP0kh+y+BGACqegQn+QV08+WVMFtSQgD+hRvJ3XcX7jWXzEx29fJbxB54FONHu2SyK4lEIpHUDEGyA3fjLRR7b8PrvgZ0e2YHv4hx+IdYe57E3PtdEv5oVXsvbT1kY4PL1c1DXGeN0xkrlMXumlSAoy8sGVYQwtG0xuHx2SL38ITOxHmQEEoSIUWwRHKWtAc+P5Md54bidFjsgKrxt/EUPyglvQII/E3k018g8LeWevlYzt9ixf8cRam+PzTnC0JVca+/nNx9d+JfsH76gOdjP/VDnK89jn7o2MoZKJFIJBLJAhEo+B3bcDfeirvxVvz2C2f1UbLDWPu+i7n3KcwDz6J4FTXsnZVOwiloiYWR9/YkT25PvU97Ysqbe/oklOmiMqfAPTSuczSt4YfytbZEimCJ5IxJhAGfyE3ywXymnPQqoyh8NVbHt50kXkn8CmFRzP4ixfynmfpR0/R3cJKfR9N3r4zxEnzTIP3Bm5i452bCztZyu5LOYn/7aZxvfBdtZHzlDJRIJBKJZAEI3cLtuR639zbcDbcQJttm9dEGd2PufQpr75Pox99AEQsPDV5sTE3QVTctbCORO52UKm4szJsbCjierghZHi/N0S1tjxZUkPFbktMgRbBEskB0IfixfJqfyE2SFNEvag942Enw1VgdaXU6s4LvXkU+/TnCcE2pJYcd/1NM5x9KZY8ky4nQNfzeHoo3XMFzH3w/fswpH1NPDOH88+M4jz6LUpCeeYlEIpFUL0GiFXfDzbgbb8Ndez0YzkkdPIwjL2HueRJr33fRxpezfJ+g0Q7L9XKnBO6UR7czGSy4Tm7WUyIP7vh0EqoTBQe1sYfn3hpkInt+lvWRLB5SBEskp0MI3lfM85nsOO3hdFKkZ02Hv02kOKEZ5bYwrKOQ/Q94hR8vt+nGczjJ/4KqHV9Ws89nwriDv2UD3oUb8S7sxbtg3YxEVwD6uwdwHngU69nXUEL5YkIikUgk1YcAgtYLomzOvbfhd14yq4+SH8fc93QpzPkZ1GJ6yezRVcHqZDCdfKq0nlrqrIV5cwH6M2o5XHkqfHlqru5QbrY313Eseu04rgxnliwCUgRLJKdgq1vkZ7PjbKpIerVLN/lyop5dxvT8GSHAK95JIfOfEKIJAEUZxU78AYb1iCx7tMQEzfV42zaVRW+wbvWMBFfTHUOa392P+pVvEr76jgyWkkgkEknVITQTr/vqUhmjWwlTq2f10Ub2R6J3z5MYR19DEYtXuSBlnVxSyC/P1V2dDNAWmDuq4DNjPm7ldt+kRt6XSagkK4cUwRLJHKzyPT6TneA6dzrp1QlV428S9TxvOlSq2jBoJ5/5LXz3feU2w/omduKPUdXx5TT7vEAoCsGaDrxtvZGX98KNhB0tc3cuuhi79mO8vRfjnT0kD/axeXV7lP1yec2WSCQSyXmNQFUEugq6ItC10loFTRVo8RSi52rCnqtg9SVopomOjy6OYAT70UURe2gnzvFXsft/hJkdQFfBSAi0LVPnBV0T0VottakCrbQ2Steay4aYpbC+eYDW67LU2wuPjhrKqrPKCR0q1dEdyGgI+bpZUqVIESyRVFAXBnwyO8kHCpnyD8ekovJPsTq+4yTwK8SvECpu/hMUsv+GqbJHinoUJ/k7GOYLy2/8OYowdPyNPXjbNkbe3q0bEHWJOfsqE2mMd/ZivL0H4+096PsOo/jTb8fVFc9+KZFIJJLzgdZYwEc25/j41gF6m/Zj3HK6MOETwLvA30Yx0HOlqKgvLVsW09JT4wbQN1npydVmeHWznvTmSmoTKYIlEsAUIffkM3w8N0m8IunVN50kD8TqyJwUWhv4G8mnP0/gXzTVgun8HXb8z1CU6i0oXwuE8Rje1g142zbiX9iLt3kdmMacfdVjA5HofWcPxtt70fpOyHfOEolEIlkRLE1w5/o8923JclNPAX2F9KEfTi3KrHUQgi8UvAACEbV7oUKISlZNseOYy75hyvNzj2c0QiH/skrOPaQIlpzXKELwvmyaT4wN01qR9Or7Voy/i6cY0Gb+iAhhUsz9PMXcz0CpQJKq7ySW+DyasWs5TT9nCFoao7m826LQ5mDt/PN59f1HyoJXf2cP2ujE8hsskUgk5ziB00i6bj1ui4NfrN4svK5lkq7rXGE7BVe1jPMTa4/z4e5+UqY/4+irIw38MLico3oP+cZeXKMOPwp0xsPAR0WMHoFjO1COvkk4fpxAgB8o+KIkYINIuPohBKGCVyFovZLADcS02D2b8kCOY9Hb2xNNF8rLSgmScx8pgiXnJYYQXJnL8FMvv8yq9HQWxXcMiy/HU+wxZofN+u4V5DO/TRj0lFry2PH/g+n8PYqyeAkpzmWEohB0d07P5922kbCtee7OhWJpPu8ejHf2ou/cj5qXXnaJRCJZLEKnHr+5l6ClF7+ll6A5Wot4M8dW2rgF0r9C1+0JD/LTwf/jU8FX2CD2zzh2WFnD/9N+mq9on2Lv6t7Zg90s5oEfYO19EnPf91BzIxUH7aU1XCKRAFIES84jdCG4zC3wvmKOq908MTE9P+eopvN/4yleOCnpFYAI68hnfwWv8NHpcxkv4CR/B1U7umz21yLCMPA39ZQFr7d1IyIZn7OvMjYZeXlLc3r1fUdQAvlyQSKRSN4roZ3Cb9kUid3mjeW1SLSutGk1RVJM8rHgQT4VfIUbwx/MOJYhzoPax/iK9imeUW9EKDMjmrT0CYw9T2LteRLj8IsogfS2SiQriRTBknMaXQgudQvcUMxxjZsvz/edYtI0uT9ex7c0m+Bk8SvAd28nn/51hIi8lYoyjp34Qwzr27Ls0RyE8RjFizaXwps34m+afz6vdrQffSqJ1Tt70I4OyPm8EolE8h4IrbpZXt2gpZdwAWJXnTyBNrQHfXgPzsQBepI+R/uOU6zicGjLMula3U7f0f4ls1NF8P62AT7RfZgPrjqGo01nTg4FPDPYyj8d7ubhY6vIBRngS9TxpRk2rmuLcey171OQYcYSSdUgRbDknEMXgktKwvdqN0/yJOE7rqg8bzm8XJfC23YBu/ceJjjpD1MYtJHP/Ca+e1O5zbAexk78Iao6tiz3USsE7c2M/fhtvHDdpWQ75nnQCgL0vYdLSayiRR2T83klEonkbAitZEnkbpwpdpPtpx2rpvsjsTu0B214b3mtFifLfRzHorG3h+GjhxBVLNxsx6Ih1sPQEti5ucnlvi05PnpBlvbEzJJBe0Z07t8Z52u7YpzI6ERB2f2Y89iYiPXIl7wSSZUhRbDknEATgku8AjcU81xTzJMUM/9gTZSE77NWjLcNi1BRcGyL3lneXwW38HEK2X8LIirDo6jHcJL/BcN8ftnup9oRioJ3xYXkP3wL7pUXzU5klS9i7NxXCm3ejbHrAEqheh+kJBKJpBoJzQRB88ayyJ2avxvWdZx2rJoZrBC706JXLcgXkPPR5ERlje7bkuXiNm/GsZG8ytffjfHAzhhvDJicTfIpiURSPUgRLKlZNCG4yCvyvmKOa4p56uYQvj8sCd+3SsL3VAT++lLZo0umWjCdf8CO/ymKkl+am6gxwkSMwh3XU7jnZoLVFR6HIKT53QP4z78OP9qJvr9PzueVSCSSBSKM2Ayv7lQ4c5haddqxSmYQfXhvKZS5tB7aLcXuAjE1we3rorJGt/QUMLTpY24ATx10uH9HjKcOOnihFL4SybmCFMGSmkItCd8bijmuLeZJnSR80yXh+4OS8D15nu9cCGFQyP4sxdz/R7nskfYuTvLz6MaOpbiNmsNfv4b8h26hcMvVYE9nzlbGJnEeeYb6p55nS0NKllaQSCSSUyAUFbdlC8dXX8dYWwPFhnX4zb2E9V2nHatkh2d6dUuiV83LKTpnjuDyDpf7Lsjy4c15GuyZzxKv95s8sDPGN96NMVrQ5jmHRCKpZaQIllQ9qhBsKwnf6+YUvgovWDGetRzeMGYnuDoVE+ObGT7xRwT+2lJLATv+Z5jOV1AU/5Rjz3WErlG84QryH7oFf9vMEg/6zn043/wu1jOvoHg+umNBQ2qFLJVIJJLqJUh14a67AXftDXjd1yJiDacs66PkRucQu3tQc6PLZvO5yqqkz8cuiMKdNzTO/Bt/PK3x4K4YD+6Ms2d07oSOEonk3EGKYElVogrBhRXCt/4k4ZtRFF4wo1DnN0wb/wxTNQuhMDn2y/Qf+alym2a8iJP8HTStb1HuoVYJmuspfPAm8ne/H9FYIWyLLvbTL2J/87sYew+vnIESiURSxYR2Cq/72kj49lxP2NgzZz81P4ZW4dGdErtKdljONl1E4kbIBzdG4c7XdRVRKz7crKfwyF6H+3fGea7PIhTyk5dIzhekCJZUDaoQbPGKvK+Y59pijsaThG+2Qvj+6CyE7xRCqOQzn8cr/DgAijqBHf9jDOsb523ZIwF4F28m/6FbcK+/DLTp8C/1+CDOt57GfvxZ1MnsyhkpkUgkVYjQTLxVl+GVvL1++zZQZ4fQaqMHMQ4+S+LYi1zgDHPo7R/JkjlLhKoIru8qct+WLHdvzBM3ZlaJePaIxQM74zy81yHrqfOcRSKRnMtIESxZUaaE7w3FPNe5ORrDmcI3pyi8aEZzfF9/D8J3CiE08ukv4hU/CEAytRs78a9x3RPv6by1irAtCrddS/5DtxCsXT3jmPnSm9jffBrzlbdQQjHPGSQSieT8QgBByybctTfgrrsBr+sqMGOz+im5UcxDz2McfBbz4HNoE0eBqPyQ1StL5iwFGxo8Pr41y0cvyLEqOTM54/4xnft3RGWNjqbl469Ecr4jfwtIlh1FCC7wXW4o5ri+mKNpDuH7Usnj+5pp4y2Se1YInXz6v+IV7wDAsF5n26X/nQMHzr95Vn5XB4V7bqZw+3WIxPTDm5LOYj/2LM63nkY7PriCFkokEkn1ECTb8HpuwF17Pe7a6xGJOWqi+wWMvlcxDz6LcfBZ9P4dKMgXiEtNUnf51NZxfrx3ksva3RnHxgsK39gd4/6dcV47IcsaSSSSaaQIliwLihBsLgvfPM3hzDe0eRReshyetRxeM21cZXHDk4QwyE3+Eb57CxDN/21o+Q/oevtpRp47CFXFveYS8h+6Ge/yC2cc0/cexv7Wd7G/+yJK0Z3nDBKJRHJ+EJpxvDVX462NhG/Q0jtnP73/bYyDz0fCt+9lFF+GNy8FcSOkPRFESzygLR5tb2wKed+a/Rjq9MsGP4SnDto8sDPOEwcc3EAKX4lEMpv3JIL/5E/+kJaWZgBc1+Wdd3bxP//n/8H3Z2fV3bZtK7feehMbNqwjmUwAkE5n2Lt3P08++TQ7duyaNaazs50PfOAOtmzZTGNjA7quk8vlOHLkKM899wLPPPMcQsi3rNWKIgS9xTxXZia4vpin5SThW0DhJcvmWSvGq0sgfKcQwiQ3+T/w3fcBoBvPEUv9Mup5Mg0oTCUpfOB95H/sZsK2pukDno/1g1dwvvld9B375PtxiURy3iIUDb/z4iiD89rr8VZdBtrsDMHqxLGyp9c89LzM2PweiRshrfFpcdueCGiLh7RV7LfHA+Lm6Z/13howuH9nnK+/G2M4L8saSSSSU/OeRPD3v/8siUQkaC++eBuXXXYxl112MS+//NqMfvfe+yHuvfdDFItF3nlnJyMj0R+NpqZGLr74Qq688nK++tWv8a1vPVIec/HF2/iVX/mXmKbJzp3vsmPHLjzPo76+nk2bNvJzP/czbN9+Gf/tv/1vwpPCaSUrS3vg86GxNDc+10d9ceZb8QIKr1g2PygJ3+ISCd8phLDJTfwJvnctALr5PWJ1/wFFcQHr1INrGAH4m9eR/9AtFN9/JZjTD3Pq0Cj2w9/H+c4zqGMTK2ekRCKRrBACCBrXlj29Xvc1CHt2mTelMIlx+IWy8NVGD8oXhgvA0cOSoI1EbaUXt1L0Jq2zc2T4IQxkNQZzOnsL7Xz5xZA3ji3yTUgkknOa9ySCv/71b5e3c7kc9977IVKpmX9E1q3r4d57P0Q6neE//+ffYWhoeMbxlpZmvvjFz3HffR/hzTff4fDhI5imyS/8wv+HaZr88R//L15//Y0ZYyzL4td+7Ve49NKLuf32W3jssSffy21IFgMhuNgrck8+zVVugUppW0ThFTPy+L5sLb3wnTbJITvxpwTelQDo5hPE6n7tnK7/K0yD4k1XRbV9N62dccx4YxfON7+L+fyPUIJgnjNIJBLJuUkYa8TtuQ5v7fW4a28gTK2e3SnwMI69jnHwOcyDz6IffxNFyN+XU9h6GInaeFD21s5axwNS9tmJ2yCEwZxGf0alP6MxmNXoz2r0Z6L1QEZjIKsxklcJhYLjWPT29rBn9BAgQ9ElEsnCWfQ5wSfnMLr22qsBeOaZZ2cJYIChoWGeeeY5PvjBO7nuuqs5fPgI27ZtIZWqY//+g7MEMECxWOTb336UzZt7uf76a6QIXkEMIXh/IcuH8xnWBl653Qd2t7TwWKjyvKJTWCbhO4UI42QnvkTgXxbZaT2Ck/wNFOXcfJgJ2pvJ33Mzhbveh6hLTB/IF7CfeD4KeT58fOUMlEgkkmVG6BZe15WlEOfrotJFc6AN7Sl5ep/DOPIiqnv+lYKzNFHy2kZitqshzwWr96KvHqXFdstzcOvfg7gdzqllQTuQjZb+TIXAzWoM51RZq1cikSwLS54Yq7MzSjzU3z9/ptn+/oFS3w4AOjqiMQMDCxlzZomNTNNA0+YWZGYpZNQ0DRynOkNlLcucsV4pGnyfOzIT3J6ZIFURjp5WVZ5IpPheYzPJDd0cPnwcpejiLKNtYZhkbPB/E/hR8ic7/jCpxt9BUXQqv/LV8lmejvnsFIpC4dILSH/wJgpXXEjlJGe9r5/kd75H/LsvouYLUeMSfqdr/bOsJmrBRqgNO6WNi0ct2GnEEkzWbSB79V1kV11FYdUVoM/+vadmh7APP4995IfYR36InhmYPqixpL8rYXk/S1MVtMR82uI+rbEgWscD2mI+rTG/JHx9Guy5ppXNdlycTChgOK8xlNUYyOkMZHUGchoDWZ3BnF4SuzojeY1gAeLWss/s/mrhe1kLNkJt2FkLNkJt2Hku25hfYP31JRfBhhEJy7mSZU0xdWzqJk0zWnueN++YqWO2fWa/MTdvXosyT8mdtrYWADo6WlDV6p5n3N3duSLXXTU5yXVHjrBtYAC9IinZQDzO82vW8EZ7O56mkVwhOz03wds/+hyeuw6A9s6n2HjB36Eoa+Yds1Kf5ZkyZadnW5y48iL6rruMfEvjdIcwpGXHXrqee42GvYejeWtdy5v9utY+y2qmFmyE2rBT2rh4rISdoWpQtBooWk0U7SZcu6m8XbSbKFqNuHYTnlnH/jnGq36ehtG3aRx6nabh14inD03P6+10gJ5lu5dK3stnqSkhjaZLk1Wk0SzSZFUubrmt3pz/Oep0jLsGI0UrWlxrertoMlraH3NNAjFPpJcZLfUNUH/WViyMWvj5qQUboTbsrAUboTbsPBdtfPPN3Qvqd96VSHr33YPzeoLDMGo/cWKIffsOLaNVC8eyTLq7Ozl8+DjFZSplowrBVfksd6fHuaBYmHHsVTvGd5L1vGU7kPVgf9+K2RkEDYwN/j6+FwngWOIBhPZH7N07d/jWSth4NkzZuQeFkduvI/f+KxH2tKdCHZ8k8fhzJB77AfrQGMMs5P390thYK59lNdtZCzZCbdgpbVw8lsJOoRoE8WaCeCtBonXedeg0nv5klYQB5sA7JW/v81gn3kAJXIpANUwKOdVnqSmC5ljkqW2LR57assc25tNa8ug2OQHqWUYNj+bVstd2sJRcaqDCkzuY05gMYnR2rZrDRr+05M729heVWvj5qQUboTbsrAUboTbslDYugwie8tjq+vyXmjo2dYOuG62nvMhzMXWsUCjM22cuXHf+t6JTx1zXW7ArfaUoFt0ltzERhtxZyPDBfIbWivJGeRSesuN8y0lwTC/9HxXm/nIuh50AYdBMduLPCYP1AJjOV9DtP2IhX4/lsvFsELZF9qqLGfroHYyv65pxTN+5H+ebT2E98wqK5+MBZ//Of3Go5s+yklqwsxZshNqwU9q4eCzETqHqhPFmwmQbYaKNMNFa3g6Spf1EGyLefNZ2KNkR1MwAamaAuuwRVhX30kUfvcks6X2v42cnpztXWTl42zLYtCpE1A3QZLkzygM1x8L3JG77sxqDGXVGMqnBirm3gzltAXVzQxwn+mtyLn0vV5pasBFqw85asBFqw87z2cYlF8HHj/dzySUX0d7eNm+fqTnAx4+fAODEiX6A04xpK59fsris9j3uyae5tZDDpiLkWdX4lpPgCTtBtoqK7IZBG9mJLxMGPQBYzpex4n8yK0lbrRC0NOJefTHFay/Fu+SCGeWNKLrYT7+I/c3vYuw9vHJGSiSS845QUfETbXj19ZG4rRC0YTJaB4k2RLwJzjIZopIbi8RteoB49gir3H2s9g/SERyjgwE69FE6zDTtcS9K1tQUkOw8KdqnexFudslZ+LPLeEGZnUyqtB6sSDRVPK24lUgkEskUSy6Cf/jDF/nAB27n/e+/nqee+h6Dg0Mzjre2tvD+919PGIY8//yLALz99k4mJiZZt66H7dsv45VXXp8xxrIsfuzHPgDAc8+9sNS3cH4gBJd5BT6cy3CFN9N9+o5h8Q0nwYumQ1hlyjIMOsiO/zVhGHlJrdiXsGJ/VlMCWCgK/sZu3Gsuwb3mUvyNs5/gnJExrG8+jfbtp1Enz7/MpRKJZHkJnQb8jm14HRfht29jtPMijiQ7zl7c5ifK4jaWPUJnYR+r/EOsCo/SzgCd+gjtRpr2uBuV2WkMSJ0sbs8xJotqVAqoVPpnznVWpeBXz0tniUQiOVc4axHc1tbK7bffUt7fsCGah7l9++W0tUVe2oGBAZ544mn++Z+/yb33fog/+IPf4Z13djIyMgpAU1MjF164Bcuy+OpXv8bhw0eAKBz6z//8r/nlX/4lfuVX/hW7du3m+PETeJ5HKpVi8+ZeGhrqef31N3niie+e9c1LwBIhtxRy3JNPsyaYTl7mAc9YMb7pJNlvVGfmuCBYTXb8rxFhNGHeiv0JdvzLK2zVwhCmgXvZlkj4Xn0JYXPDrD7awaOYL7xB3es7uFAI9u4+WPUhKxKJpPYInXr89m34HRfhdWzDb99GWN91+oGAUphAzQyipgexM0fpLO5llXeQTnGUTvrp1EZoNyZpj5XK7DQE1HecnbgNBQxl5y+zM+7bpDp62H/gKIVC9f6utG2L1q61vPVun/ydLpFIJCvEWYvgxsYG7rrrtlntW7dewNatFwCwc+e7ZRG8e/debr/9ZtavX8fFF0e1+tLpDG+9tYPHH3+KnTvfnXGeN998m9/4jS9w9913sHXrBaxfvxZd18nlcvT1HePBB7/OM888hxDn9pvipaIl8PlgPsOdhSxJMZ0Je0xRecRJ8IiTYEzVVtDCUxP4PWQnvowIoxcudvyPsGJfWWGrTk3YkKJ4zcW4V1+Ce/lWsE8qw+H7GG/uxnzxDawX3kA7EUVNWI6F0tuz/AZLJJJzjtBOlQRvycvbsY2wfv7s+QQuxuAuesae42LzMLGRHbT6x2aK20RAeyqgsf3sqiqEAkZyM+exDmRmh/4O59RTltlxHIveRpv+rE4+X7014Z1Apy6s3r+vEolEcj5w1iJ4167dfPKTn11w/3fe2ck77+w8o2ucONHPl7/8d2dqmmQ+hOAC3+VD+TTXFfNU/gnerxl8M5bkGSuGV+WxxIG/LvIAiyipip34fSznH1fYqtkIIFjXRfGaS3CvvRR/87pZfZTJDObLb2G+8AbmK2+jZvPLb6hEIjknCa06/PYL8Uti1+u4iLBh7gmzMZFlrb+H3oln2ZB5hXXeLtarR+ixx1lT52HVlzquOjMbhnLqtKCd8uBmojDfqf2hnIYfVvffHYlEIpGcW5x3JZLOR3QhuL6Y40P5DJv86SzOIfCi6fANJ8E7hkUtTKQN/F6y43+JEE1AiJP4L5jO11barDLC0PEu3hwJ32suIWybnf1U6zsRid4f/ghjxz6UsLprUkskkuontJKR4C2FNfsd2wga1053EIJ2+lkfPMc6cYB14T425H/E+mAPa9VjtFulXAPx0nIaRvJqxfzVmfNap0KVB7ManhS3EolEIqlCpAg+h6kLA+7KZ/lgIU1ThdDKKQqP23G+7STp12rnKxB4F5Cd+EuEqAdCnOTnMO1vrrRZhKkk7lUXUbzmErwrLkTEnJkdghDjnT2R8H3hDfSjMqO5RCI5e0Izgd++NRK7JdEbNK3DEgXWioORyBUPs97dzzpxgPViP2vDA8SUk2rGzZPuIRRwLK1xeELn0LjO4QmdE3kbraGLV3YNcWQ0WECZHYlEIpFIqpfaUUCSBdPju3won+GmQnbGM85xVedbToIn7Tj5KipxtBB8bxvZiT8HUQf4OMnfxLQfWRFbBBB0d+JecwnFqy/B37oBTvo8lUwO85W3MV98A/Plt2RGZ4lEclYII4bXfiF+xzb89gtp6FjNuoaA9WWx+03Wi//OuvwBVnNs/hOdpFmzrhKJ3Amdw+Mah8rbOkfT+iyR6zgWvb31HMuM4wYyekUikUgktY0UwecIihBsdwt8KJ/mUm9mtsk3DItvOEleNe2qK3G0EHzvUrITfwYiDnjE6n4Nw3pyWW0Qmoa3rTcSvtdcQrhqdg1r9fgg1oulMOe396D41ZuYRSKRVB/CcFA6ttDRvZo1q+rpbtToiadZLw6wTjzEOvHHJMmAe/pzARwveXMPT2hlj+6Ud3c4rzJLGUskEolEcp4gRXCN44Qhtxaz3JPPsKqixJELfM+O800nwSG9OkscLQTf3U524k+BGJEA/vcY1veW5dphIoZ75UVRGaMrL0IkYid1CNF37ccqze/VDh+Xj5QSieQ0CBrskDWpgDVdLfR0t7C+Tafj/c2s046zmm+hUeFpPcW7tLyvcHhcm/boljy5hyZ0+iY1WV9WIpFIJJJ5kCK4Rmn1PW7PjHF7IUu8okzUiKrysJ3kUSfOZBWXOFoInnsNuYn/BdhAkVjdL2NYzy3pNf1VbZHoveYSvG29oJ30GeYLmK++Ewnfl95EHU8vqT0SiaT20FXBqmRAd8qnJ+XTXe/TXR/S3azTnSxSr0/NzR047bkG3DiHJi0OD/scGaPsyT00oTOYVRHy1ZtEIpFIJGeMFME1xoZigZ968002Dw3NKHG0Rzf4hpPkOSuGX4MhzyfjFW8gN/k/iTK35Imn/g26+eKiXydUFQpbN5C5bCvu1ZcQdHfO6qMOjmC+ENXuNd54F8XzFt0OiURSWyTNkJ56vyx0p7a7Uz6r6wL0BTphi5gcFqs5WGjg0LjGkcEiR46NcmTY5fC4Tk56cyUSiUQiWXSkCK4RmgKfn8lOcHMxV24LgB9aDt9wkuzSzZoocbQQvOLN5Cb/GDCAHPHUv0Q3X12Uc4d1cfyNPXib1pLZvI4TF2/GOznMGdDfPVAWvtr+I9LXIpGcZ6iKoDMRRF7cKY9uWewGNDoLTw41RDMHlHUcUNexn7UcTlsc6c/Qd+gEmWP72dSZYM+eQ+Tzlfkcancai0QikUgk1Y4UwVWOJULuzaX5aC6NTRT2XNA0Ho0l+YbhMFRDJY4Wglu4g3z6vwI6KBniqV9EN944q3OFyTh+b09J9EbrsKNl7s5FF/P1nZg//BHmS2+ijYyf7S1IJJIaIW6EFcI2ErdT2111PuYCZ5R4Quew2s0BZR37lfXRWo3WB7028scPYBx9BePIy+jHv47qTmeLdxwLSCzNDUokEolEIpmTc0tBnUMoQnBjMcfPZCdoCaPMKAHwVKKOVy67hB8dOn6S16D2cQsfJJ/+IqCBMkk89fPoxjsLGhsmYvgbu/E3rY1Eb28PYWfr/AN8H+PQcVoHhyk+9QK8+CZKcYEpVyUSSU2gIGiyClzZkafdztNTP+3R7a73aYkt3Js77hoccFs5oK5nf+wy9hlbIu+uso4+pYtAif6cKpmhSPD2vYLR9zeYAzuxQv80Z5dIJBKJRLKcSBFchWzyivx8ZpzN/rQo+5Fh8VeJegaSSXrNcy9Mzs1/mHzmC4CKoowTT/0cmrFrzr5hvCR4e3vwe0uCd46SRWV8H/3gMfS9h9B3H4rWB44S01V6e3uiMEQpgCWSmsTRo0zLM5JQlbbXpAJsff+CzhOEcLRUUuhQOsYBZS37nEvYW38je1puZ9xpn3OcNnIA4+g/4/RFnl5t7JCcPiGRSCQSSZUjRXAV0Vya93tTxbzfY5rOl+P1vGTaoCg4K2jfUlHMf4xC5nMAKMoI8fp/gabvBSCM2fgbe8qC1+/tIVg998MoAEGAdugYxp5D6HsOoe8+iH7g6NzJrHRrKW5HIpEsKoLW2Myw5cokVO2JhXtzM65Szqw8VU7o4ITOwWAVB+qvJd91Dd7q7QSbNs19gtBH73+n5OV9BePoq6jZ4UW6T4lEIpFIJMuFFMFVgCVCPppLc2/FvN+MovBPsRTfdhLnRLbn+SjmPkkh++vRTmIA8/IvUtyyDn/jzfibegi6OuYfHIRoh4+h7zk0LXr3H0FxZfZmiaSWMDVBV50/I9tyFLIceXjjhjj9SYBQwPGSN/fwhM6xrIUX7+Sl3ePsHggZLagIRSNo2YTXtR1v3Xa8ru2EdbOzwgPgZjGOvj4d3nzsRyhebu6+EolEIpFIagYpglcQRQjeX5r321wx7/dRO87fx1M1X+f3VAjbItf1CxTX/Rhiy0HElklEj4urfmbuAUGIduQ4+t5DGLsrBK8MY5ZIagBBox2e5MkNytsdiQB1ge/6sp5S8uKWQpdLdXMPT+gcndQpBtMnchyL9ZvXsMPYRuayi/G7tuOtvhxhp+Y8t5IZnPby9r2CPrATRQSL8QFIJBKJRCKpIqQIXiE2l+b9bjpp3u9fJuo5rJ9bc36FbeKvX4NXSloVeXg7iZ56j1b0LNXDDEO0vhPl+bvG7oOR4C1IwSuRVCu6Gnlzu1PBrLm53SmfpLUwby5Af0YtC9spoXu4tD+YU2GOWbcCCOs68Vt6CZp78Vt6mWjbRF/rFoRqzHkdbXhfRRKrV1DHDsv5vBKJRCKRnAdIEbzMtJTm/b6/Yt7v0dK835dL835rnTBmk7n9enZcdRHDbU14qztAU+fpDFrfIPrefdNJq/YdQc0XltdoiWSF0BRBSzygPR7QFg/paijQ03mI4dgYnle9WYVjlsaW1XnqN42yOumyOhnM+2N+MgWfaYFbKXbHdfomNfL+/CcSQJjsIGjpLQnejeW1sJLzXzTwSvN5Xy7N530NNTdyZjctkUgkEonknECK4GXCrpj3a5Xm/aYVhX+MpfjOOTLvN2huIP+R2yjc/X5EIjZnH+VwAWVHB8qOONruCeLHfxm92LfMlkokS4+qCJpjIe3xgPZESeQmAtoq9+MBLfFwjlDgIdi4ElYvHkNZddqLWxK40bbGQEZDnMbnGondtrJXN2jpxW8uiV277tQXD3200UOYY/vpCPvJvPUk4cFXULz84t2gRCKRSCSSmkWK4CVGEYKbijk+c9K830fsBP8Qrzsn5v3667rIfexOijdfBfr0V8oZHkPZsRdl1wG03YcI3vww3vBPAqBq+4jX/xyqKj0xktpCVQTNTkjrlJitELRtpe32REBLLFywZ/RkvFAhFAIWHkG87IRCYdh12D8CB0anwpenk1JlvYXdvADCROvcYteZe+7utBEB2thhtOE96EN70Ib2oA/vQRs5gBK4OI7Fut4e9vQdIu+dW3XVJRKJRCKRnD1SBC8hW7wiP5cZo9efzlb8mmHzV4l6juhzz1GrFQTgXb6V3H134V1x4fSBMMR87nUavvVdtoUhe/YcIpdzKWR+E6/wcQBU7d2SAB5bGeMlkjlQEDQ5Ie2JYFrgltaRwI28uq3xAP0sxe1kUaE/o9GfjbyhA1ltxn5/VmMicOhevy6qX52vXuHmONZ0ne0F2CkAEW+OBG4plHlqWzj1pxkcoo4diQTuUCR4I7G7H8Wv3s9IIpFIJBJJdSJF8BLQGvj8THacG4vToXd9ms5fxet5tcbn/Qpdo3jTVeTuu4tgXdf0gUIR+/HniH3tcbTjg1iOBb09CKGSz3wer/ARADR9B7HUz6Gqkyt0B5LzEVURdNUFbGoNuKTjOLcnRmmy3GmBW1qMswzMSBeVSNBWiNn+sshVGSi1504x13UKxzlLhV1FhLGmmV7dll785o2IWOOpB4oQdbwv8uoO7y2t96AP70PxZZ4AiUQikUgki4MUwYuILULuy6X5SG6SqfzOaUXlH2J1fMdJENSw+A3jMQofvJH8R24nbG4otytjkzjfeArnW0+jTmZmjBGhysTI5/EKHwBA098knvpFFDW9rLZLzh8a7IANDT7rGz3WN/jRdoPH2nofq/zb7viCz5f1Sp7bkqAdyKgnCdxovdDQ33MN16ijsPpK8nU9FWK3FxFvOu1YdfwI+tDe6RDmoT3oI/vkvF2JRCKRSCRLjhTBi4AiBLcUc3w6O05TGALRvN+HnQT/GKsjXcPzfoPWJvL33kbhAzciYk65XTtyAufBx7Cf+iGK680aJ4TGuzv+LYXcdVF//TXiqV9CUXOz+kokZ4KlCdbWRyJ3fUnkbmiMthudcEHnyHtKWcyWPbVzhCZnXIW5yvGcb4R2Cr9lU9mjG7T0MtKyiSPx5tOOVSeOzpyvO1Ty7Hryd4FEIpFIJJKVQYrg98hWt8jPZcfYWDHv9xXT5svxevpqeN6vt7Gb/MfupPj+K0GbFvHGm+/iPPgY5otvoojZWXuEgDBYz/jwL1PMlwSw8RLx1L9GUaSHR7IwFAQdiaAkbkte3Uaf9fUeXalgjmzKsxkvKOwbM9g/qkfrMZ1juRhO+zp+tPMo+bysO30yoZ0qJajaOCNRVZhoPe1YdeLYzBDmUkiz6maXwXKJRCKRSM4zhEAFdCEwEGhCYAiBLgQ6pXVp++R2x9Vo3h/QND6O7wcrfSeEikLRtnAdi6JtUXQsvJhNDg9NWxpnhBTBZ0lb4PPZ7Dg3VMz7PVKq9/uq5ZxiZPUiFAV3+zby992Jd+mW6QNBiPWDV3AefAxj98HZ44RO4F2O596IV7wJEa4uHzPtF7AT/wZFkfP5JLNJmuEMT+76Bo8NDT5rG3zixulTI7sBHBzX2V8SuftGp7dH8ione3Edx6K32ZjVfr4RWsnZ2ZhbegmTbacdq06eQBvagz2+n9X6GKM7X8Q/ugPVzZx2rEQikUgk5wQiKvSnAioCVZTWQMz3iGezNLtFAq84Q4iWheoMkQq6CEvtTLefSsyW9t/TZKyJ0UX4IOYmUBRyjkXGsUk7DhnHJhOzS+vSvjO9n7Otec+11XXJ7Dq66DZKEXyGOGHIfblJfjyfLs/7nVRU/j5ex6N2bc77FYZO4ZZryH/sToKeVdMH8gWcR3+A889PoPUPzxgThnX47g347o147vUgkiedNaS1/TkU4z9RKEgBfD6jq4LulF+ao+uxvnF6uzW+sPDlExmtJHAjkbtvTGf/qEHfpEYgau9nbrkIzQRB88bZYreu47Rj1fTAzBDmKc9uMUpq5zgWq3p7yJ44ROjKDM0SieQkTiESVDFzrc13/BTtmgDLL9Da14eTnsDzZk/NqgaMGrARasNOwy/QduQIiclxAs875XdGK7Urp/uOVY6b0T7zHBozv4+nneh4/PCSfQ7vlQDwFQVF0wjDkDkCO2cRKgo52yTrOGRLgjZbErFZxyZ70n7ethCLoInq0xkYWZpkulIELxBFCG4tZvl0doLG0rxfn+l5v5kanPcb1sXJf/Bm8j9+K6Jxuh6nOjKO8/UnsR/+Pmp6OpQx8LtLovcmAu8SZn19lCy68TyG9QzJupfYfEE9e/bIkNPzA0GDWeSqjjxd8dyMubrdKX9BJYUyrhIJ3fGZIcwHxhZec/Z8JTTjBM0byt5dv6WXoLmXMLXqtGOVzCD60N6TxO4e1MLEjH52GNIceLT4Hi2BR1M6JJEd48JsniBY2MuM5UZLq8SkjYtCLdhZCzZCbdippVXimVEuyuYhDEvCYLZImBIDcwmNZXsqGhtariudPbVgI9SGnbVg4wIJAR8FT1HwpxZmb3uKQqAoeLOOUd6e7xwzxpSOhYqCE7NZu3kte4+eIIeCsAxC2yS0TELbQFhmxb6JsIxFqW6juB5qwUUpuKhFF7XgoRZP2i9tx1SVTRu72ZNemhftUgQvgAvdAj+XHWdDxbzfl0vzfo/W4LzfoKOF3L13ULjzBnCmww+0Q8eIPfAo1tMvong+Qmj4pTBn330/YbB21rkU9TiG+Qy69X104xUUJfqMVM0C6pfpjiSLgyBuCOrtkHorJGWH1NshKStaT7eLcnuDHfVLWSG6uv+0V/BDODKhs68kbveNlry6YwYD2dnhy5KZCMMpJ6aqrLcbplafdqySGUIf3js9X7fk5VXz4zP6WWFIS+DRXBK7U+tkOMfDeqHKk1t5SBsXi1qwsxZshNqwsxZslJzzeJpGzjLJ21Z57WkagkhACkAoEKJE2yhRu0Kpj1LajtrLY0rtU+NCZaq94lyKMuc1QuZur+yvGTp1TQ0MTaTJh4JQVfBVlUBVCVWVQFEJVAWhqaAokcdUVUEtbStKtK1G20JVp9tK6znHlfsroMxsrzyOGjkW+gA2n/754VQoroda9CIRWxayLkqFwI32S2I3XIDbeerczvwh0ouBFMGnoD3w+WxmnOvd6Xm/hzWdv0rU87pZe/N+vc3ryN13F+71l4M27VkzXt+J8+CjmC+/DWECz70F370R370BIepnnUfT30I3n8Gwvo+q7anlssfnIAJHF2XRGglYMUOwnixyy9tWeNZ1ck9mKKtGc3THjEjsjhnsG9U5PKHjhfILczoC1cJt3Uqhbm2F2N1IWL/mtGOV7EhFFuap9V7U3My5P1aFZ3faw+uTDE+fICOtqowbFlYiRjabJ5hLIFcBmqoSjzvSxkWgFuysBRuhNuzUVJVY3CGdK+AFIaEy/fAfKietUWYcDyrahQLByeNO6j/VHpRFhEIw1/VmjQPLsdm4sZs9ew+Tz1fntAzHseitchth6ewUqoIwDUJTL62NOfZ1QsuYuW8aoNdelGWto3j+LK+sUjxZ4E57a89E1FYbUgTPgSVCPpMZ58fzaab8vFPzfh+xE4Q1pPqEouBecwm5++7E37Zp+kAQYH3vJZwHH0PbHeAVbyTn/mt87wrgZO92Ht18EcP8Prr5A1RtmHOBlBVwYf0Y9R15isXqDdt27IDe5iG2KZPEFDcStxXitaHCW5uywop6uIuHH8JEUWWioDJWUJkoqowXVCYKCuNFlWxgYqTa+eG7E+zsF0wUZfjyqQitJGFdJ0FqNWGqk6BuVWl/FaOpVRxJtkdvcU+BkhubLXaH9qDmRmb0M2eJXZ+WwKNuAWI3o6oMaQbDusGQZjCkGwxrBgVVjR6YenvYs+dQ1T7YSRsXj1qwsxZshNqwsxZsBDBKXjIx5RWrQkQN2AintlMoSlmYVgpYYVWIWaPUZhqE1rTAlUL2JMIQQhFVWBEi2g4FiDCaRx9GbYhSn8r+J7Urpf1Z48Jw+tyV46auEwpMXaOjuZGhw8fxJrNl0atU6Yu5pUCK4ArU0szwXxvqpyGfBqJ5v992EvxTLEVGrZ0He2EaFG6/jvxH7yDomk6Co2Tz2N95BvOBo4R9l1Fw/ydhsHHWeEUdjMKcze+jmy+hKNX7R/BMMFTBrWvz3Lclx23r8pjaQbh8pa1aCMff8xlCQVm8jhcUJgoq43MJ23Kf0lJUT1svN3pg6mDPYJF88dz4rpwtQtUJE20EqUjYhqlVBHWdM8SusOsWfD4lPzErhFkf2oOSHZrxP2KIsBS67JdDmFt8j9RCxK6iloXu9FonX4O5DiQSiURyeoSqEMQdwoRDkHAopBLsbGlgrCGGr6llj6wwDYSxNHJB8XwU10NxfVTXizyM7lRbadsrhdu6Po6qsL57FQcO9FEoVK/zwrZNNqxdzYF9R8jnCjOF6EobV8JxLDoNi8zgGFTxi66lRIrgEpYI+aXRQYByOOBLpXm/x2po3m+YSpK/52byH74FUT/9oK0OjWE+sB/1a20Eo79AXjTNGqvqu0re3u+j6btQlNoNcZiJ4OI2j49vyfLjm3M0ObX7lisUMFmcKWDHK0TrXAJ2qk+6qFA9v35rEwEIqy4StKnVkfe2btW0wE11Eiba4AzFo5IdQZs8jjp5DDM7QKeVZWzXywTHdqBmBuYQu/6MJFXNvkf9AsRudobY1cveXSl2JRKJ5NxCEDlEgpLIDRIOYSIWbScdQseO5ohWkAZoSJzZhTy/LFzVSkE7Z9tJxxeSlrgCw7Gw/QC94KJVsXDTATMIUT0ftQpq8ErmRorgEut8j27PJQP06wZ/lmrhR6a90mYtGH91G/l776Bwx/VgmeV2dc8k+v+zEN+5jtC/lZnyz0U3Xka3vodhPoOqDSy32UtKR8LnoxfkuG9Llk1N/oxjAxmVb+yrY6e/gT0HBqo6HNqyTFpWd/HGuycYnPAIZUmgJUOoOmGyveS5XVVeV4pdYZ1cDuw0+MVI4E5EIjfanrlW/OkyYo5jsaa3B//QAeKZ7Jxi93TfgFxZ7OozQplzUuxKJBLJOYNQFMKYXRa2kdiNlb27wly4E0ctuDiAn8kjCsUZYnW2gC15Zz2/pueESs5vpAgu8a5u8s+pBu4A/kdTG7tGMitt0mkRgL91Q5Ts6tpLy9neANQfqqj/dz3KS0lAKT80K8oIuvWDksf3BRQlP9epa5aYHvKBjXnuuyDL+7qLM15y5n2FR/Y5PLAzxg8O25i2TW9vPXtGxslX8cfgOBa9TTEmihqh8E8/oNYp1eOrLBJfLg7P7ALy5eLzcxw7uUC9mTGwMmku9iFUDYRuITQTdDNaa2ZUQG+sP1p47fT2hh6K70LgogQu+NFa8YulNp/op3VhqBMq9UPHuDufP63YzSvqtNCtCGfOKuqilDKQSCQSycoSGnrJizstcsue3bg949nvlAQhWiaPls2jZnJo6Xy0n8mjZXLETKMm5oFLJIuFFMElhKLwopPgDqj6xFdCUchdeynjH74Vf8uG6QMeqI80oX6lFXVvrNysanvLZYw0/W0UpXbDgedCQXDN6iIf35Llx3rzJMyZguOFoxb374zx7T0x0m7tzOuuBXQRUh8EtOV8uo4dI5YeR7jenAJ0hkidIVTBoNSn1L5kP4FeEfLV/4LrZAqKMmeCqowqxa5EIpHUMkKB0LGnw5aTsQrB6yAqovtOh1JwZwhbtXI7X+ScmeUmkSwCUgTXAELTCLo78NetobCph+dvuIpCS2q6w6SG+mAz2j+1ogyagIdmvIhhfg/D+gGqdnTFbF9K1tV7fGxLjo9dkGVNauaci0PjGg/sjPPgrjiHJ+TX/KwRgrgIqQ98GkpLfWlpCP2ZtWOHT6ycnYCnW/i6jWs6+LqNZzilJdqO2mxERdZlxS+ieHnw8iheHsXPo3iFaNvLQ+ByJl7cxUDTNJz6Og7kXI4LhWFNJ61qUuxKJBJJjeKrCm5dnGJT3UxPbsIhiDszylaekjBEzRbQMrlpsZsuidxsAdU7D6LFJJJFQqqDKiOsi+OvW4O/vgt//RqCdV34Patgrsx8x020v29FfagZNZ9BN59AT34fw3weRa09b9dCSFkhH94UzfPd3jlzHu9kUeEbu2M8uDPOS8dNTpXNWDKNJgSpKZEbToncoCx4zTMUgQHgKwoeCoGi4CkKvqLgU1orCp6q4xkxPDOOZyfwrDpcpx431oAXa8SNt+AmWvDs+pNE7bS4rWzzdTsqJl82wkPNDKJmBlDTA9E6M4hdHKM7FdC/80d4Q4eikOWTUQBTB/MM5/4uErVSmkQikUgkswktA7+xDq+xDr8xyWhTiiMxGy7oWtB4xfWmhW1mZsiymiuecTKpWkJRFGzbwrZtLMvCcaK1bdvYtk1dXZLu7k5WreqmWPRW2tx5sW2Trq4O1q/fRBgKdF1H0zR0XccwdDRNR9c1DMMot+u6hq4b6LqGpkX9psYZxnR7Zb9onF4ePzVu7vPP7qeqKqLKv0/pdJp/9a9+hSeffHrRzy1F8AohVIWgs5Vg3Rr8DSXRu66LsHV21uYZjGsou2KoX29Gf3ocQ3sUw/w+WuwNFOXczECnq4KbewrctyXLHevyM+rgBiF877DN/TviPH7ApuDLcOdZCIEjwrKobQgC6sNpr27dAhItTeGiMK7pjGsaY5rOuKYzpurk4zHaN61j5+FhMkYDYbKNMNFKmGgrbZf2S9vCOsPsk1OEfkncDqKO7EPNDGCkB7BKIlcrCV4lN4Yyh3h3HIum3h5Gxg/hzyWAJRKJRCJZIKFp4DcmK0RvHWHCOc0ggZo72Zs7LXirxZs7JT4t246EqeNgltssTNPCtCxMy8SwTEzTRDdMTNNAN0qLbqCbOrpuoOkaqqaj6RqapqFqGoqqopXWSml6TxCG+H6AHwYEQUgQBqX9kCAICIVg7bpNK/3xLIiO7lMfF0SlWOf9H/fDaKliwb/UpOJxNm+7UIrgWiV0bIK1q8veXX/9Gvy1q8GxTjEoRDs2gLp3ArHrQtjVjbI7BgMqq7oex/V/HS+1Z/luYtkRXNjicd+WLPduztESnzmPeceQwf074jz0bozBnMx4qwpBXRjMCFluCHzqS55d+wze9KVVlXFVnxa52vR2RrcJ6rsIGroJG9YQ1K8haOhGNHbzTmo1gRE/uxsIA9Ts0AyvbXk7XRK4mQGU3CiKOLfmtEvOP2zb4tJLL+Gqq7Zz7bVXsWXLBQghqOYX8ooCuq7j+37V2lkLNkJt2FnNNgohyBaKZPJ5soU8oYCi6+IHIUFJKEXrsEJIhWVBFYTRfrn/SX0qx/hBQBhObwdCTI8Pw/J2EMwcU75eaVuEghlTa/Q6qCdaqgQB5MOQzu5N059Fyf4CUJhrQMGNFolkCQlPHF+S80oRvIgIIGxtnBa667sI1nURrG4/9cB8Af1AH/q+I9F6fx/a/jGKI7+AW/gECpF3U9Pfob7999mwqciePYepkpeFi0prPOCjm7PctzXHluaZb76Gsir//G6M+3fE2TG88EQR5wpWGJDy3LIXt1Ls1oUBC/WB+1Dy5pYErlopdjW8WBNBQ3dJ4K4hLG93EybbQTkDb7sIUbPDswTtyWHKanZYilvJOUtjYwPbt1/BVVdt5+qrt3PRRdswzfPvd5hEMoUQglyhwEQmy2Q2x2Q2x0Q22o7aptpPPp4lnc0RVpsylywKSsUS7YsoXFcApRwkhq7heX5VfwdURUE3NFzXQ4TRPQgAUbG9zPlGTkZRVEzTiGys0ucvRVGxDY3xgaXJOSNF8FkiDAO/pzOas7thTXker0ie2hOmDgyj7+8rLUfQ9x9BPTFUnuMhBHjFO8hkfxURtkaDlAx2/H9j2l/FMA2gZ2lvbpmx9ZC71ue5b0uO93cXZuSHKPjw2H6HB3bG+f5hGz889+b5KkIQEyHJICARRksynN5OjQsajh/C9Bf+1iOrqGXv7bTY1RjXdCZ1i7B+dVnYTondoKGbsH7NGdXBVTODqGOHMdNHadOzjB/ZQzB6bFrkZodRxLkZpi+RzEd39xquumo7V165nauu2s6mTRvn7Od5Hm+/vYMjRw5x4sQgvl+9Pyu6rtHYmGJ0dKJq7awFG6E27FyIjUII/DCk6AcUfT9aB/7Mfd/H9QMKvo8bTLe7pbDWlURVFFRFQVFAVVQUVUFVVRQtCs1VVRVFUVBVJdqf2lZUVKIILE0I1FCgCjF9PqJ+KtEcV13TcByLQqFIWMU1dVVVwbYMspkcnusR+D5BEOB7HoEf4PsevuvheR6+5+J5Hm7RxXNdPLeIWyyJqXBKuIZl0Vdeh1H7VFvl8YWEHNRKzoxasNNxLFbXiI2j2eySnF+K4AUQNtThr+sqe3f99WsI1nSAdoowXNdDP3QMff8RtAPTolfN5Oa/TrCafPo38b3ry22G9Th2/A9RtcHFvKUqQHDVKpePb8lyT2+OOmvmL7+Xj5ncvzPOt/bEmCjW6DzfKXEbBiSCmcJ2ejskcQZe3CkCSt5c9aT5uaW2Qqxh2ns7JXLruwkaugjrVoG6wBByv4A23oc2fgR17Aja2BG08SNoY4fRJvqiDMpEv6jWV/kvU4lkKVBVlS1bLuCqq7aXl46OuaN/MpkMr7zyGi+99AovvfQKr7/+I0BU/cMS1M5D3YrZqKoo5bmNWmk/2lZUFUrCSlE1TNuktbWJwcERvCoN6TIMnZa2ZobHJglQUHUDxTBQdX3GWllojdozQIQhwvcJPQ/he4Sej/A8Qt9DeH5p7RH6Pqaq0LW6jSOHj1MoFCMhFYpIjM0hsgJVwa9P4DdF83f9xjqCujgwjycsFGgTGYzRSfSpZTyDEizcc1YLPztQO3ZKJIuFFMEVTGWXzV+2lcz7LsVft4ZgfRdhU/0pxyljExWe3Wit9fWjBAt7wyuETjH3GYq5nwfs6JzqUZzE72FYz76XW6o6elI+H9uS5b4LsnTXz/x8jkxoPLgrzgM7YxwcN1bIwgVQErdlQRtUCtuwvB0PA852tnJRUcioGmlVo2AYaK3NHJzMMhjAmKYzqZkEqc5pT259KWy5NE9XOPULvpaSHZ4WtuOR0FVL22p6YM4EU5KlRUA0Ka+ayyIpSvXbuQQ2Oo7NJZdewpXbL2f7lVdw+WWXkkzOTPTmetFUjv6BQV5+6RVefuU1Xnn5Vd59dzfBSX8XHMeq/s8Rauj/WwFdR7WIBFpJeE5595hne6ZwLe1XbE8L2YokPpUi9wyZBOxkY+kvfnWSBqxEw1mNFUKUharwvJKgPUnY+tPtUZ+oTSzw2QlAcyxMv4EwmyE4SbgJXcNrSJbFrt+YjATvfN/fUKBNZtFHJ6dF71j6jASvRCKpHaQILhE21DH8m78AwMSnP0zemOOXZBCg9fVHYndqDu/+PtSxibO+ru9dSj79OcJgQ6nFw3L+Div+FyjKrDQENUnSDPnQphz3XZDl6tUzEyhkXIVv7Ylx/84YLx61ogeYlaKURXmGpzYIy9uVntyzFbcuChktEreRyFXJlLdLi5OiGGsktFMIO4WRaqFh/YWc8JIUE6uihFSp1aAt8EVB4KFNHC0L28ibezgSu+NHUN2lCTORnB7VstETcbR4Aj0RRy+t+zWdZMsaVqZI08Lph6q3cyls3A/sf2c3//TObvibf1jYoPZOmto75zxUC58j1IadkY1dVW1jzSBEWbjOFLHzi9nQi7y0ZyJkF4NQU/GaU1GG5qYKD+98glcItIks+tgk+khJ9ErBK5GcV0gRXCJsSBE0N8Bo5PVSMrmyZzcKZz6CfugYirs4acrDMEUh+yt4hXvLbZr+Ok7yv6Dp+xblGiuJpgi2Nw3zr27t5/a1WRx92psYhPCDIzb374zx6D6H/HKWNRKCZBjQ4bt0FTN0vzXJZeOTxHyPRBic9Q+EhxIJWy0StmndJm0lSDv1TMYbmUy0MlHXTiHegojVE9r1CDsVCV0nNb1tp+YMVR4+zfWV/HjZkztD7I4dRk2fkEmnVhjVstDjCbQKoavFE6i6/BUskaw0IgiiJQwRYQhhWN4nDBFhgAjC0vGgdHyq73zHSuMrzju1b1sGGzd2s7cUdioA1MjDLkplYlAVRGkdtSugqKX1XMcrxk31med80Vqd3p4xLuqvmTrJZILJYoZABNHTok4pWE0FrNKysmQNnZHmerJbuk4teCez6KPpckizMZZGqdL52BKJZHmQT2Al9AN9NP3Pv4NPfYqWL/wp4y+8tiQ+ySjx1T0UMv8eIRoBUJQJ7Ph/x7C/jqLUbuipo4e8b02RO9bnuX19gdbYzD8w7w7rPLAzztfejdGfWYavXknwtvseHb5Lh+/S7rkkKgXh5KlP4SsKad1m0oyRtutIO/VMJJqYTLYzUdfJZP1qxpt6yNd1IpwpcVu3cC/tAlHCAHXyeCRwK8OWxw+jjfehFs4+GkGyeKimNUPo6vEEWjyOapz6+yCEIMjl8LMZlGKBlvokgwMj5bDaasQ0DFrbmqraztPZqKoqnR0drF3bQ8/abtau7aGubm4fYiFf4NDhwxw8eJiDBw9xtO/ootx3LXyOUBt2moZBW1sj/SeGcAvFSHgGJaFaIU6ZEqVBsKBkPPMhAGHoCFMnNA2EqSMsg9C0KtqMGduhqYNlcFTXCDevLovYaiQL0HCWZe9WkKmQZn008vLqY2lUKXglEslJSBFcgXHwKADa6MSSCODAX0s+858JvCunr2l9Czvx31DV0SW44tLTnvC5bb3P7Rt93tc5gaPP9DgO+wnuH7uSfxy7mh/l10BKgauWxpZkfoJVo4dYNXqE1WOH6Rw9TF1hfpXraiYjzd2MxJoZT7YxmVrFRP0axpvWMtGykYmGbvJO/eI+oIQ+Sn4CtTCBUlqmttX8+My2Uj+HPJs7Y+zbvV8mq6gSVNNESyTQ4yWhW9pekNjN5wkyGfxsBj+TJchm8HO5cvkHx7GI2z14AycoVPH/t+JYxFNWVdt5so2xmMPll19WTmB1xRWXEY/P/ZB//PgJXnzxZV5+OUpitWvXbsJw8SMqauFzhNqwU3EsYikLf2iQ4gJtFERzR+cSqzParMo2g7AkflmCxFBLRjidIEoJw/K+MrUWIvo9FApUBWzLpFhwl+R7v1ioikKDplE8MoAYGI0Eb5UmG5NIJNWFFMHLgBAmxdy/oJj7LBDVhlS1gziJL6KbL6+scadAaCZhvIUw2UaYaCNMthEkWtjWlOfuxnf5QOxlrtB2zBo3TBPf0e7mIe0jPGrfhZc0Yc3i2pac7Ker7zW6+l4tr1OT89cRcw2HY6suoa/rCvq6Lqev6woG2jYjFpoluZIwQClMVojV8VOK2ilBqxQmUNzMGb9g0R0LVfScuZ2S94ximpHQTSTKXl09kViQ2A3zefxsFr8keINsFj+bLYtdydISizmsXr2K66+/no9//BNcdtllXHTRhejzhKDv2rW7LHhfeukV+vqOLrPFklNRmZRrdkhwFMLrxSzSlkGhKUURMUPMhjNE7sy2JRGyYYji+qiuh+J6qK6PUto2Q0FLQ4qRoVG8olcSnxXitLR/Ju1TQnbG8TCMtqfaz8D8WskUXLZz39GqtlMikVQfUgQvMb57NfnMfyYMukstRazYl7Fif42irExImVANwkQLYaJ1hsANE60Eiel9EYvCtS1R4Kbwe9wTfIsPhv+XLjH74XCXsplvaffwbfXHeEG9BvITmL5H6A+hvsdagInMMF3H32L18bei9Ym3qZ/sn7e/p1sca9/K0c5t9HVexNHObQw0byTUZn7d1Uw/pqYQpEcQuQohWyFqZ4jbKU9tMSMzJp9jKIZRErpTSapKnl3TPO3YKIw5GwndTLSWYnfxcRybpqYmmpubyuuppbK9qamR5uZmYjFn3nMVi0XeeOOtsuB95ZVXGR+vvSkFp5tLWm6bEo5TfU85JzQ6Jk4a55kGB5vrmFDX4AXhnPNVz2we6xm2L1CongDY0LE4H/AMIevPELMz27xZghc/mFd0Oo7F2t4evL1SuEkkEslKIUXwEhGGTRQy/xGveHe5TTNexEn8FzT9yJJcU6g6Yby5LGinxW1J4Ja2Rbz5tOdqEYPc7f9f7gm+xW3hkySYmUHYFyrP5zfzyEgvjx3v4NCwh5rehZr+Po3ZYWKWelZvkWNhQLvv0uG5dJTm8taF88/l8YEB3eSEbtKvG5wwTIY1g7A4BAefjhZgriIPtfKmu2opPSQrigKaTqiooOsoRvWKP8UwKRoWRnsHmmmX5+0uSOzm8zNDmEuCV4rds8OyrGnh2txEU2sLzS1NNLc0V4jaRloam2hqbCARi531tcazWX64512e37OL53e/y6sH9lGsnNe6vXcR7ujsmFAVJhybfEc9IcwWoqdIgLTcc0nHAdrql/Wa75lQoHizRaoyQ7j6qEVvlrhVTiFkJRKJRFLbSBG8yAih4BY+SiH7yyDqAFCUEezEH2FY3znrZxahGgSpVeTbN3B0zUWMN2m4djNhsrXswRXx5uht/Fmg5EbZlnuOe4Jvc7fxDFfa+1BPStI1UVT57kGbx/fbPH3IYaKYBl4D5soRefqskc5U0irPLSeuSp1G8A7qRknwmpwwTIY0g/BMPlRFQTXNKFtvMkHOiqO3tmG71TuHSDd1cnYco70D/GBaeJayeCpTYrQiI6iiTHuA5mqfGoM6z7kqvDLlvjOuNft7NgAkm1dXfWmSUcCub5v3eFDIzxK6QTa77CU/FoMohJRZXrp5s8qeQXtgG/Q1JpjcsAo3FJi2RXNjI00NDbQ0NtLc0EBLQz3NqXpa6utpTqVorUvRXJeita6OpD2/p3aheIHPUCbDUCbNYGaytE5H63SaoWya/cOD7Og/jqiMSKmvrmQ/LkBs5TPtzksp1FYDwiCcDrM9baiuABHO2z5nCO/p2mfMX624thBYuk7XqlaOHziGm85GYtbzpZCVSCQSySykCF5EAr+XfPq3CPxLym2m/SB2/H+iqKdOQywA4dQT1K8hqO8maFgT1YOtX0PQ0E2Y7CiXzhk6A5uU/ARqZgA1PRCtM4Oo6QG0zABW9gTXJ/ZxV8cxbl+boTs1+yH/4LjO4/ttHj/g8NIxCz88u8cJOwzo8L0KL69L/SkEb8C04J0SvYP6KQSvopBIpYilUtjJBGYsjubYKIaJ0DR8RcUVIcWTagBOAE5dE+/9cXxpmQDsZFNUnUKyKKRiDm2pOtrqU7Sn6mhN1dGWqsM2Fzez96mIwlnVKDGPpiEMDUXXUE2DwA/KQfdRaGppp/JnoKJdMLU9T99FRldVmuIJWhJJWhNJUs7Ze2qn8IOA4WymJGgzZWE7U9xOMpRNMzg+wUQ2E4WdhiGKH6IEUeZfxQ9RwhBNCOoSMZx0lqBK639qmkoyGSc9kSEo3cupBOXcAvE0c0ZPIRxnCMv5zkFtRM44jkVjfYrhiQxBldookUgkkupAiuBFQAiHQvYXcPOfYuojVbW9OMkvoBtvTvdTNMLUqrKwjdbTYlfYqQVfUylMlsTtYIXIjba1suAdQPFnPgg02AG3ri1w+/o8N/UUqLNmenuDEF49YfLEAYfH9jvsHdVhAe/RFSGwRYgdhjgipB6f9YcOsXG4n9ZCnoY5BK/uOJjJJFoySaahkUyqgXx9PcVUPWFdilgyweZYjK2WCbqBryi4oSDvB+Rcj3ShwEQux+hkhrF0mrDk6SmUlhk3RXU+AJ8NmqqiaSqaqmFoWrStaWiqWtqP2nRNQ1enj0f709uapqKrKrqul8+pqxq6Hp1Lr+inqRp66Zzla+kamjp9LfUsoxCWE1VV6GxuYv3qTpLvIbxWsjCCMGB4Ms3w5ATDE+MMjY8zPD7O0NgYw2NjDI2OMjI6xvDwCCMjI4yNT4DvowQhBJGoPXlb8QMIBYYQnG5iR60It2q3USKRSCSScw0pgt8jXvFG8pnfQISdAAi7gLn6IdT2d3AbriHf8BPTYje1CtvQcXSI6eDoYGvR2tHB1sHRSmvFI+6NEfPGcYI08SCDE+ZIaD6tdQaTY+MEM8Iz60rLhlk21pkhXXU+q+sCWuIBJ0sVL1Q4ntbom9Ton9TwO+GCywUXCtCEQEegCYGGQBegzdiPQuS0k5NfKUpZ5JrJJEbF2kgm0WMxxnM5hsbGGRwbZ2h8gqGxcbyxccam9kfGGd5/pCxuz5RkzKGloZ7W+npaGuppStWRijkkLIuYYWDrGnVxm0K+ULVeIog8RfFYjGLRRQiBWoU1JTVNxXFs8tX+WSoq5DK88+Zbi2unqkSeXE0FTS1vT+0v5EUSEHndghBNUQiDYDqEV0ydQTDtHq74uRDlf0p9K/rN2K4YVzFGmavvPOdXKrYD3+PwoSMMDAwxPDzM8PAow8PDjIxE6/HxiTMqr1LFAcESiUQikUjOIaQIrqCuLprDe8klF7FmTTeWZeE4NpZlYds2jmNjWjZ2qgmzbjVGbBtWshE7AXZcwYmBbaVwtF+MhOxJQtc+o0/bAFpLy9JiAN2l5UwRQuB6PgXXxfU8Cq5XWrsMT6YZHIs8P4OHj5cE7wRD4+OMTEzin+UcS9swiFtmSciqGChoYQC+T1h08fI5ipks+f5j9Gey7MtkyGQyFAozvSy14oGpBTtrwUY4ezuFohDGbIKEEy1JhyARIyztizMIoVbyRbRMHi2TK62jRc3kUfNFYuf4ZymRSCQSiUSy0kgRXGJN12q+8rd/xY/efJPf/d3fKQviasDN53HzBdxiAa9QQAQBoe+DEKhEnhlFhIRhSNHzcX2fYmlxfR/X83H9YEZb0fNxA7/cf+r4yceKpWPlc87Rf7FQwhB8H+G6+IU8bjZHUCwQFl3CYjFa3GJNJiiSVD+hoRMknLKwDRKxsugN4/bCa4kGYSRss3nUTA4tna8Qu7kovFcikUgkEolEsmJIEVyiTY3mOp4Kv1DAz+cJSutZ+2d5rJAvkPU8Mp5PNgjIhSE5AXkU8qqKa1oUzai0S9Gy8AwDX9MINL201ghULcraWoWIICCYErGlJagQtVNtUtxKFoMoI/LcWY39mM1ozCLT3U7B1AmSJaEbdxD26cskTaEU3BnCVq3czhdRzi6CXyKRSCSSOREooNsI1ULoNmgWQrNLiwWltdBtKPWZdUyzo3NMbVecY1y3GbUtimvcM5rGspyoqsqoZVa1jVAbdtaKjWm9gDXwOci/efoBZ4gUwSVeK9bxpc/+B678V5/kn3/6s+QOHMLPF/CLBfxsjqBQRARK9HAbAiJAETmiwj0QKkpJrFq4pllaTt62cA2TYnk/jtvYSKCv3H+DCENEECDCqOyFCANEEJb2594WYZSBde796FyWrtG9upUDew6Sz+RW7P6WmlMJrlO1T9cCreg71T7Vt1Qr1LeiUjTpdZ14XnWWcvINnSOlcjmeH868v6n7n6p7Wr5vpeK+1dmfVen+y+0nj5unjurpPLbHAdbOXyIJgDBEzRZmhi2nSyI3W0Ct0v8HiUQiqWWEos0UZzPE3pRwmxZ7vh2nr6mZ9PqR6v772NzChJLDC/V57smqEKxzC1i0pc+a4AHVXC4joPpthNqws1ZsHAPqVt+F1X8eimDTNLn99pvZvv1yOjs7cBwb13UZHh7hzTff4TvfeZzx8fH3fJ2g/22+dtWtXAl8qfkyDo/ZaNYQ5NcQxm5BMXQ0M4dqTmI4O9DtAVRdRzEMFF1HXSIhG1ddUlqROs2lTiuS0oskVA9H9TGVAFv1Gc3BwRGV3UMqRyeUkjANoSRup4QuU9sV+0uF7ljoQSOsoHdXKCBMg9A2CS2T0DYRtkloRW2ZmE0mlSTbWkcA84hW5ZQ1VhccIvseGQPoaFyWa50ttWBjJYrrTQvbzMyQZTVXjErESCQSySIRvTRVEapJoBgI1URUZwBXyUabwGwgUJgpPqdEW0mozSvoTiVg5zkH6pk/S40BrFr0j2BRGQPoXIELixCCAopfQAkKKEEx2g+KKEEBSmvFL6ArAXV1MSYnMiclXq0eNE2jLpWoahuhNuysFRubEgJ//z9Egn2RqWoR7DgOn/vcf6K7u4uBgUHeeOMtJifT2LZNV9cq7r77Dm644Vp+93f/kL6+Y+/pWqph0KwcALbRFBslv9oCVhO5fZ+cY0TDgs+tCw8bj7hSpE4v0qgXabGKNBmRuE3pxUjgloTulOBNai76HHGVbqDy/FGbR/daPHHA5nimqv8bFw0BCMuYFrTWSQJ3jv3T1UnNAyRWsvquDphE6cmmFnP2dvUlhJ6bsPRPCDBVb5ToDzGU646WMxhX1i+dOo6AMJrnPpWVOKqNSiljceU4ps8nps4t5miLzqdrGq11CcaODeLli0Bipvl2tKwkoakzkGohu/oCXLc6PRtQG3ZKGxePWrAzNHX6U21k14ziegKh6pGoUnSEqpXW0T6qhlANUDRQdYQy1VebOU7RQDWi/lPjlGi/fL7yuMrzlcZVnk+dTqDXB7BtxT6qBVELNtYSip8vi85K8VneLh87SaQuQMDOdw5Cb8GPD7WQ7LAWbITasLOmbCwMnn8i+OMf/wjd3V288MLLfOlLfzXrTcUdd9zKpz/9SX7xF3+W3/iNL7yna2mWhWrNH2oS+gL8IlroYgoPR3FJqi71epEms0CrWaTDLrA6nqfTLpaErUtSK2IscIJgKGAoq9Kf1ng3ozGQjTGQ1ejPlJasxoTv0NS1nnf3HK7aL+1CEYAw9bJwFRUCNrSM2fuWGXlg3yOK66EWPTTXo840yaSzhB6glESnqBSkxnS7Yk6vFQOhTG2boFigGgjFAtUCxUSoZrStWuVtMbVfCnE655jDqzHft3+l/KxpWJk38mfACJxduvZlphbslDYuHrVgZy3YeM4SBiXxNYdQC4rgz3esUuwVz+gcjqnQu7GrBh7ku9lbxTZKJOcjVS2Cr7nmKgAeeuhbc7rqn3jiu3z4wx+kp6eb1atXcfTo2XuD/UyGoD96LLf9rbQqE6SMDI32CRqdYeqtgLgxFT6sAnZpmSYL7C4t+ExNFyYEcq7KpKuQLpbWrkbaVZgsqqSL0TrrKQgxj8gr6S/D1JlsamJi4yY8n5lvsRWttOjlN9aU2kWpvfzGempfqXjzrWhz7GslwadN78+43tSb8ahfZZ+jqkq4tULqVHplF73W7Xz1TStropa8jxqEMQjjCqOaRpiyopBniUQikZybhAEIP8rnEXrlfSX0S+vS8XCqLYi2hR/1DT0UMdWndI4ZffzoeOjPHCe8Wec2DJW21gYGB0Zwq3Qeq2notLU1MnjsGF4hsyABi/CXPWhJMSwURHmpRiLbJBJJtVG1IriuLkkyGYUqDgwMztlHCMHg4CCpVB2dne0LEsGrVnWQSMRntcfat+Jd+e+AXUyuv5O+bDwKBVosdCA2/+FkaVkIAmh57xYtMWFpqWamspydZZBF4KGEbnkh9FACFyUsooTRMYLS8cAttZXCk8IiytT4oBg9KFX0UQIXhIsauJgatLbWMzg4iucuRUDIe8cwDVpbG6vaRqgNO2vBRqgNO6WNi0ct2Fm2sX8Qv1gEgpIQDapHIClgqgYdRgsntCHcoDo/S1Mr2WgN4Spz2agQZdRZ2aw6pmnQ1tZCGKq4Vfq9rAUboTbsrAUboTbsPJdt3L1734L6Va0INs3pciX+KWrRTmUDtE4RylzJH/zBf0GdN5nRLgB+45IdCzNSIjktOqd9AyKRSCQSiUQikUjeM5/85GcX1K9qRfBS8Wu/9ltzeoIBujds4TM/+WH+4utPc/DE2DJbtjB0XaOhoY7x0TF8rwgiLIVoBSgEUQKiqdCuqJbTithp6DrtTSmGjw3hF6pzDoxpGnR0tHDixFDVvgWD2rCzFmyE2rCzFmyE2rBT2rh41IKdtWAj1IadtWAj1IadtWAj1IadtWAj1Iad0sYqFsGu65a3dV2f1xtsGNEtFIsLE1rHjp04TY8P0//WixxZoCt9uXEci2RvD8erPMGC41jYvT0cqGI7HcdCVUP27ateG6E27KwFG6E27KwFG6E27JQ2Lh61YGct2Ai1YWct2Ai1YWct2Ai1YWct2Ai1Yae0EZSWlq4qmSgzm7/4i/9FMpngV3/1t+ac76soCl/60v8glaqbt49EIpFIJBKJRCKRSCRTVHVK3BdeeAmAe++9B03TZh2/667bSKXqOHTosBTAEolEIpFIJBKJRCI5LVUbDg1w//0P0du7kauu2s7atT3s3buPyckMtm2zZs0q1q9fx+Rkmj/7sy+vtKkSiUQikUgkEolEIqkBqjocGsAwDO644xauvPIKOjvbsW0b1/UYHh7hrbfe5uGHH2d8fHylzZRIJBKJRCKRSCQSSQ1Q9SJYIpFIJBKJRCKRSCSSxaKq5wRLJBKJRCKRSCQSiUSymEgRLJFIJBKJRCKRSCSS8wYpgiUSiUQikUgkEolEct4gRbBEIpFIJBKJRCKRSM4bpAiWSCQSiUQikUgkEsl5gxTBEolEIpFIJBKJRCI5b5AiWCKRSCQSiUQikUgk5w1SBEskEonkvENRFBRFWWkzJBKJRLJEyN/xklMhRfA5gGVZ9PSsYdOmjXR2tlNXl0TX9ZU265wglaqjvr4ex7HRNG1Zr20Ytfl/KMXF0iI/38VBCIEQYkZbtX2u8v/6vSE/P4nk3GbVqk6++MXPsWZNV7lN0zQSiTjArN/xktrjp37q46xa1cmFF26hvb0V0zQX7dy1+ZQtKXPxxdv4+Z//LJqmomka4+MTDA4O0d8/yMDAIJlMhpdffhXP81fMRsex8X1/RW04EzRN44orLuMnfuJegiDEdV1OnDjB8eP99PcPMDo6xsTEBMeP9y+pHR//+L289NKr2LZNoVBgYmKSXC5HsVisus9SVaPvn+d5NfFHZ/36dbS2tlAsFpmcnGRgYIh0Or3SZs0imUzS3d1FsVhkYGCQycl01X6+uq7j+9X1vTyZZDLB7bffwgUXbMJ1XQ4ePMyBAwc5dOgIIyOjK/rZrl+/jmQywfDwCIODQ7iuW7X/1wCmaSJEWFW/ixRFQQjBRRdtRdd1Xn/9zZU26Zxi6vOtBhu6u9dw7bVX8eijTzA+PrGiNp0pnZ3tNDc3MTY2QX//AJ7nrbRJZRzHJp8vrLQZp2Xqe7Bx43paWppR1ehlVzKZ4K67bueeez5APl/gm998mIcffmzF7Gxvb8P3fSYmJqvq/7mSqReFK/2zPRft7a3ceOP1HD/ez6c//UlGRkaZmJhkeHiYwcFh+vsH6O8fYHh4hPHxiTO+BymC58A0TRoa6vE8j3Q6XVV/5Cupr0/xL/7FZ6irSzI4OMQjjzzBBRdsoqOjnd7eDdi2zeRkmueff3GF7Kvnfe+7lvb2NkzTLD/cDQ+PMDo6RiaTqao/XlO/VC+99CI+85mfJJlMsHv3Xvr7B+jt3cBFF12IZVmoqsozzzzHX/3V3y6pPZdddgnHjp3g05/+JEIIRkfHGBwc4sSJfo4fP8HQ0AhjY+PkcjmGh0eW1JZT0djYwE03vY8tWzZjGAbDwyP09R0tLccYGhomDMMVs68STdO44YZr+ehHP0xdXRKIBHwmk2XPnr18/evf5uDBwytq49T3cMuWzfz4j/8YXV2r0XWNIAiZmJhkcHCIvr6jDA4O8dprbzA5OblittbVJbnrrtuxbYsgCOjvH2BwcJjx8QkymQyu65LJZFfMvpP5uZ/7GbZsuYCjR49SX1/P5s2bME0DANf1yOfz/Pqvf35ZP9OGhnruvvsOLr/8UgzDwDQNcrk8o6NjnDgRvXjbtWs3+/YdWDab5kPTND7ykXtYvXoVhUKB0dFRnn32h0v+QvBMufbaq7n++mt4+ulnePzx73Ls2PGVNmlOFEXBti0aGxspFoull5wuQRCstGmziMdjXHfd1bz44qszfj4cx8HzvGV/AdbVtYq7776Drq7VPPTQN8s/H9Ug1OfDcWxuu+1mbrvtZkzTIBaLsW/fAf73//5zRkfHWL16FUEQcOLEyvw8XXjhFj7xiY+xalUHExOT9PcPcPhwH0eO9NHXd4yRkZGq+X1eKYKHh6ftuuGGa7nnng/w+utvYpoGt956E7t27Wb//oPLal9Pzxruu+8jtLe34boeuVyOI0eO8sYbb/LGG28vqy0nc8klF5HL5Th8uI9isTjnz0u1COOBgSF++7d/F1XV+O53v09zczPt7a10dl5YehEL+Xwe13V59909/MVf/M0ZnV+K4JO4/PJLuPvuO6mvT1EoFMrCbXBwmKGhYcbGxjh06MiK2jj1w79hw3o0LRJkV121nWPHjvPUU98DojDeT33qE/T2blwRGw1D5zOf+SRXXHEZAIVCAdu2AQjDkMHBIUZHx/iDP/gfVfMHf+pzvfzySxkeHiabjX6p3n//P+P7PrFYjPXr1/KzP/vp8i8GVVWXTOB9/vO/RxAEjI9P0NbWSlfXKjo7O7jqqu0kkwkURSGfzzMyMsav//pvL4kNC+Enf/I+Lr74Io4dOwbA+vVr2bZtK4ahUyy6WJbJb/3WF+nrO7piNk79365b18MHP3gXe/bs47HHniw/gHZ1reaKKy7l4x+/lz/5ky9VxZvwD3/4gyQSCR577EkURaG9vY3m5iY6O9tZt66HurokIyMjvPXW/8/eece3WZ57/6tp2bI8tC3Le8SJM5xF9iQkJGSwwgizoRxOaXva0r4t7XtGT0/33kChlB1CgBBCQhYZZG9nO3Yc76lhWbIsS9Z4/5CfJzYE2tMSPe4Lv88nnw/YsXXlfp77vq/xu37XOUkcv4yMdB55ZDVjxpQTDofxeLrR6zORyWT4/b10djq4fLme5557KaF2fRQMBj3l5SN55ZXX2L//EBkZGWRmZmAw6DGbTZjNJkwmY8ICYOGZTZs2hfnz56JWqzh58hQdHQ7sdhvp6emMGzeGOXNmsnPnHsmDYKVSyUMP3c+UKZOora3DbrdhsUylurqW1tZ2ystHMnbsaF599XXJHCfhc1977U2CwSBz586ipKSYzZu3cuzYSQKBgCR2XQ16fSa3334zU6dOJhDow+PxDFQ1Omlv78Dr9dHY2ERXl0dSO4X3dMyYcu6/fxWXL9fj9XpRqVSMGlXG7NnT6e0NsH37Lhobm665PcIzPn36HK+++joLFszjP//zcfbvP8S6detxu7uuuQ3/WwhrOH36VK6/fi7nz1dx4cJFlixZRCQSIRgMotWmcOuty3E6XbzyymsJP9P1+kweeWQ1PT1+3n13O0ajHovFwowZU7nxxgXI5XICgQAPP/zlhNn0cRDWJj8/l/b2Dnp6/CgUCmbMmMrly/U888xzWCxmvvGNr2C1WhISBAvPrKiogM997j6SkzWcOXMOg8GA2Wxk1qzpzJkzg7Vr32TLlu3X3J6PwurV96HXZxKNRvF6fbS2tlFf30hdXT0NDY20tXVIHvwKiMViYpL1hRfWiF9PT0/DZssiJ8dOdnYWxcVFBIOh//Xv/ywIHgSz2cQ999xJX1+Q8+eryMnJZsSIEiZMqADiD6Ojw8E3vvEdSe0UNlppaRE9PX527NiNyWRk1aqV/M///FSk0Wm12oQHHleCjQLGjh1DQ0Mj0WiU//zPH5CWpsNmy6KkpIjrr59LXl7usAmA4cqhWlJSxIULF7lw4SKrV9/HpEkT2LlzD729AbTaFKLRqOiQXsuDwuuN03NPnrxC6VMqlaSmasnISMdiMZOXlysmF6SASqViwoQK1q59gy1bdpCcrEGv12OxmLBYzFgsFrKzs3A6nZLZCINpkqOJxaK89tqbtLd3DPne5ct13HXX7UyYUCEZewKuvFNlZaW89NKrbNu2U/yeSqUkMzMTk8lITk42NTXX/j38IAZXqgsK8unsdNDd7eWJJ55Bp9Oh12dSUJDHDTfMR6tNSZhdf83ewsJ8QEZdXSOBQB+BQPuQiotcLiclJTnh9k2bdh2nTp0mKyuLYDDESy+9CsS1HsaNG82jj/4LTU0tCbfrg8jLy2Hs2NG8+ebbvPPOFiZPnsgXvvB5nE4XMpmMioqxLF58A2vWrJPaVNzuLl56aS1Hj55g6dIbeeihB6ioGMuaNetE1oxUFUPhc1euvIXRo0exbdtOQqEQ+fm55OXlUlExDqVSgUKh4Omnn2PPnn2SVjcH04/b2trx+3uBeNXwX//1IRQK+YAuSR5/+MNTtLd3JsQur9fLO+9s4eDBIyxfvoQ5c2YxalQZW7fu4MCBw8OKZSbguusm0tzcwrPPvkgwGGTWrOl4PN34/b1YrRZGjhzB1q07EmrTFX+yGKVSyZ///DyXLl0mJSWZlJQUdDodmZnpmM0mURdlOFTbhc83Gg0cP15JX18fEyZUkJeXy7PPvojX68NmyyIlJZmOjsS8k8K6TJ48EaVSye9//9QQZllycjL33XcXCxbMo7LyVML2ygexZs3rGAxxP8JkMmE0Gpg3L58lSxYCEA6HcTicOJ0ufv3rP/xdweUnCWFdVSolWq0Wr9dHd7eX7m4vFy5c/Id+92dBMFcWeOTIEaSmavnDH56mtvZK1l2n05GTk01JSTFJSZ9cQ/Y/iry8XBwOF83NLWzbtpMvfelfmDt3Jtu27SQlJQWr1cK+fQclsa20tJiuri62bn2P++67i3vvvYsXX1wjvrRZWVZstixJbPsoCIeqXq/H4XBy8OARpkyZzLJlizl9+ixOp4vMzAy0Wi2XL9cP+ZlrjaQkNTqdjr6+Pnp6/Hg83dTXN3L48LGEfP5HITfXjkqloqWlDYBAoI+WltZhSz8cMaKEjg4Hvb1xR27wZV5be5lgMEh6epqUJgKQlWVFLpfjcrmRyWTI5XIikQj9/eEBZoqDc+cuSGLb4CC4o6ODo0dPsGzZYsaOLWfHjt3U1sKlS7WMGlVGZ6dDEhuvZm9xcRFut1vs/VaplESjcXGsaDRKNBpNKNVPeO+ysiwcO3aCvXsP8thjX+Ls2fPs3r2XYDCI292FXC5LSIXtoyCsX1lZKdFoVOyztdms9PT00N3djVqtwmDQU1NTK5mdH0R/fz9nz56no6OTWbOms2DBPH72s++zdet7bN68VUwyJhrCcx87djT79x/kjTc20N/fj0wmQ61WkZqaisGgp6Agn/Pnq4b8jJQoLi7E4XCK6zZ//mwgxn/8x/dJT0/ja1/7IgUF+Ql17BUKBS6Xm7/85SV27nyf225bzpIli8jKsrJ163s0N0ufPIIrzy83N4edO/cAcdtttixOnz4HxCtbKSnJVFdfSqhtg4Ngn6+H7u44E6a3N0BvbwCn00Vd3ZW/O/jfIzWSktT09PhJTU1FqVSycOF8+vr6xCS22WxCJpMlrBgkrEt5eRnNzS3i/SeXy4nFYgQCAfbtO8i4cWPIy8uVLAg+ePCw+N/JyclkZqaTmZmJ0WgQ/1itFgwGg+QBMMTX1Ww2MX/+HMaNG0Namo5gMEhDQxPnzl3g+PGTfzdj5rMgmKG9BQ6Hi+7ueAZRoVAQiUTw+XycP18lXkhSQ9hoxcVF7NoVP1CPHTtBVVU1Cxcu4MSJU+h0qWRkZCScQje46uL1+jh69Dhms4mbblrEwYOHuXTpMjZbFoWF+f9wBudaICMjA7VaRWeng1gsxptvbuB73/t35s2bzeuvv0VmZiZAwoI8o9HA3XevpKyslEAgfiHF+wQ76ex00NPTQ3NzS8Lpu4NpP93dXlyueHVFLpcPUWONRqPD4sIUKOuZmRmcO1eFz9cDDL3M41VMvaT9jYP3T29vLy0tbcRisSGMCWGNheAt0RDWLJ6Ec/Lee3soKSnmxhtv4NSpszgcTlJTtZhMRg4fPppw+z4KBQV5A6J2cSfvg1oPUlQ3UlKS0Wg0uFxuTpyo5PDhY9x99+0cOXKM3t4Adns2crlc8hYcAJsti/b2Dvr64mdNPODpwO/vRafTkZ2dRVVVtcRWXoHwPB0OJ2+++TZHjx7n7rtXctNNixg1qozXXnuTs2fPS2KbWq0mPT2NlpY2MQAGCAZDBINuXC53woOhj8KVZI2VgweP0NvbS1FRASNHjmDbtp10dHSSkpJCUlKS2EKUKAw+FxsaGnnxxVd56KH7mTdvNlOnXse6devZtu29hNr0UVCplPT394viljqdDp0uVfQljEYDCoWChoZ4wivRZ1F+fh7NzS3i3Th4GoZwjw+Hu3wwIpGoyPaYMGEcRqOB9es3EgwGUamUWCxmfL6ehAVywvqYTCYqK88QCsU/94P3dHJyMi6XOyE2fRAFBXkkJSXR1NSC3+8nEAgQCAQ+5Pekp6eRnJx4ZtTVIJPJeOCBVYwaVcbZs+dpbm4mMzOTvLwcxowpp7AwnxdeWCPeTf8bfBYEM9Spa21tEzMKwgErjFmQyWTDgr4bi8WQy+U4HA6amlpExbm1a9/kP/7jm9x//90olSqi0Sh1dfUJtw0gOzubixerCYfDbN36HrNmTWfp0sX8+td/IBqNotdnJlyo4G+BxWLC4+kW+4oaGprYunUHS5feiM/Xw8SJFXR2OohEItfUaRZ+9+rV95GdbePgwSNoNEnk5NiZOvU6dLpUwuEISqWC7373h5IlO/LycgkEAigU8aNkuAhgfRS6ujwUFxeSmZnxod4xk8mIWq2ioUG6gENY15wc+wDVfBwXL17C4/HQ1eURK5ZSQnjnLRYTlZWnCQQCbNjwDt/97neYMWMqb731DikpKaSl6YbFHhfWS8hw//u/f5P29g5aW9toamqhtbWVzk5nQoV9hOecm5sjit4BvPnm24wfP4677rqdZ599EYNBj98fd5qlgvC8+/vDZGSkEw7H70CbzcrZs+eJRCJkZmag0+mGRSVYWFuhupWbm4PFYqasrISCgnyqqy8RCoW49947+dnPfiOJM2q32wBEmuZHCdMMh6AjFouJtvT0+InFYkydeh0ajYa9ew8QjUYxGg0olUoaGxNbebXZrGg0GkpLSxg9eiRGoxGdLpXq6ks0N7ewatUdeDwejhw5nlC7rgaVSkVTUzMzZkzj6NET2O02UR8F4lXiri5PwhMJwvmYnW3D4XCKKsvDwdf9awiHw2zYsIlAoI/8/Bw2b97G3r0HgHiiKT8/V0x6JgpqtVrs8b6aqK7BoEetVknW4rJw4fWo1SoCgT4qKsbS2NhEe3snzc0ttLS00tbWPoRuPBxgt9sYN24Mzz33Ejt27EYmk5GSkkJmZgbjx49l5cpbuHy5XtRE+t/gsyCYwdkbI62tbdjt2XR1eQgG+wgGQ8MyAxaNRnn88f8a0qNRV1fPG29sYPnyJSiVKt56a2PCX2JhnWw2K4cOHSESieLz+Xj33W3ce+9d3HDDfDSaJJKTk0VK8XBCc3MLP/nJL4fQOLds2UFRUSH33nsnPp+P9evfueZ2CI7HqFEjee21N9m8eSsQz86mpKSQkZGO1WqmsDCf1ta2a27P1eyDeOLIarXwhS98HpfLhcvlFsVdOjs76eryDAuRKQFbtmznq1/9Ig8//CCnTp2lubmFri4PBkMmS5YsoqmpRVIhmsEBpkql4tZbV9Df309PTw9dXR4cDidtbe14PN2cOnVGzNonGkK/mBBAXL5cz+7de1mx4iYuXbrMiBElyGQysaohJYQqW2XlaYxGAwaDnrKyUioqxqJQyAmHw/h8PfT29vKDH/z878om/73Q6zO5fLlefOdaWlrZsGETK1feTHp6OgUFeUNac6TErl3vs2DBXL7whYc4fvwkZrOZzs73AZg6dTLRaFTS6uUV8aEpzJgxDavVjF6fiVKpxOfrwe12s3btG+za9T52ezbf+Ma/MWZMObt37024jTk5dgBWr76f1ta441lf3zRAoeykvz88rHyOpKQkampqWbhwPiaTgZkzp1FZeZq2tnYUCgVms4n+/n48Hs81tUMQopw5cxpz584iK8sqtq90dXmoqqqmsbGJ/fsP0dPjp6Agn7FjRw+LILi3N8COHbt59NGH+da3vkYwGKK/P0xhYT4TJoxj+vQpIo030QkQpTIeCsyYMZXp06fQ1eWhtbWNuroG6urqqa9vHBatLVeDkIT9IPr7w5w4cSqh5znE7/DTp8+yYME8GhubaWhowul0inf1xInj6ex0SJbYPHz4KP39YUaNKqOrqwuz2UxRUQEqlYpoNDag+t9FMBhkzZp1kvrpg1uZ/P5eMakei8Xw+/34/X5aWloZO3Y048aN/iwI/keg0WhITdUyY8ZURowoweFw0tHRKc6f6ury4PX6JJOuFzBiRAk6nY76+nizvVBBEA7MTZu2snPnHpRKJb290ihhyuVyfvObJ2hvbxezjNu372L06FE88MAqAM6duzAs+0b9/l5R+EOA293FD37wM0aOHIHH0y0KKl3rS8put6FUKmhtja+T0Bfq8/nw+Xw0NTVz9OiJa2rDR0H4t7///j5aWgqxWMzk5+cxatRIFAo5/f1hfD4f0WiMH/7wZ8NGsfPs2Qs899zLzJs3i9tvX4FGoxHf0Y6OTl5+ea2k9gnr+vTTz/Huu9vJybGTm2snKys+V7KgIF8cq/Kf//l9yYLgWAyeeeZ5qqqutDS8/vpbjBlTzje+8RVkMqisPCNpBVOAsKaCsmRyskYcs2C1WrBYzJjNJpKTkxPmMAk2HThwmDNnzg9RLd6xYycWi4mZM6dx9uwF3n57c0Js+mtobGzij398mttuW8Fdd61ELpexfPkSlixZiF6fySuvvCapoyys6W23rSAjI53Tp8+xY8dunE4nVVXVQ3qAhX2T6CTx4P7LaDRKIBAgLy+X8vKRKJVKYrEYPl8PkUiEN97YIKlA32D09fWxadMWcnNzmDt3FidOnOLVV18H4pUvm82Kw3HtxQ+Fs/q66yZiMhk5f/4CdXWNHD9+kt7e+N0t/B2DQU9SknrYVLMgLnL5u989wZw5M8nKyiIcDvP5zz9ANBpl9+69bNoUT3YnOgEil8tZs2YdOp0Os9k4IJhkpLi4CI0mCQCPp5svfenrCbXrr0GlUnLDDfOZMmUyoVCIzk4nO3bspK6ugVAoxHvv7U64Tf39/bzzzhYyMzO577676enpwefrIRAIYDIZSU3V8tpr6xNulwBhPNO5cxd4/fW3MBj0Yg9w/I+ZjIwMSkqKJGedCedlQUEeTqdziB8pJMQyMzNQKpV/d7HlsyB4AP39/fzwhz8X+1Xt9mwmT56AVqsVv3/5cj3/8z8/kdTO66+fi1wuZ/z4sVRUjKW5uQWXy01HR7xHtKOjE4fDKYlznJSkJhgMEY1GOXp0aOY1Eonw7LMvMnXqZJKTk4fN5f5BJCcnM2HCOPLz84jFYgMiRJ20trZz4cLFhBwKVzZ+PoFAgLa2eND9wc8eDiIVceXiuHqxQqHAarVgt2eTmxuXrbfZsoaVExIKhdi5cw+HDx8jK8uCXp+JRqOhv7+f5uaWYaHCC/GqQXX1pQ9V1kwmI9nZNgoK8mhuTnwSKSMjHblcjtvd9aEKmtfr4wc/+Bnz5s2mr6+P48crE27fB1FRMRa9PpOLF2uQy+W0tbUTCPSJc6wHIzVVmzC7ZsyYyrlzVQSDQVGoS4Df38uf//wCmzZtJRAIDIsEknAmHThwmNbWNvLz88jNzUGvz6Svr4/Tp89KLtIH8TNox47d7Nr1PtFo9COTMHHHSSUmkxOFK3oehezff4hXX32dpKQksrKsA4r6FgwGPUVFBYRC8TYnKWnRycnJRKNRIpEItbV1fOMb30Gn0xGJhMUku1wuQ6PRJLQl55lnXsDv93+IsiuTyUQtl+TkZKxWC42N0o3mE2yKxWLcfvvN1NbWcfLkKU6fPkdGRjo6nQ6VSkkkEqWjozPhVUsBoVBoyHkuiCXp9XoMBj3Z2VlikDFcaPoAd999B3PnzuLy5TqUSiVz5sygrq6OuroGyspKWbx4Ic8881zC/eGOjk6effYFKirGUlJShNVqQatNobb2MkeOnBgy8UMqpKQkEw5HcDpdOJ2uIXoOKpWKzMyMhCS2Pg7Tp0/B6/VRWlqCw+FApVKJ3xP8YbVahdls4siRv+/+kZlMOcPjbZYISUlJRCKRq/aDqVRKDAY9Nlt8BlU4HObNN9+WwMoryM3NQaFQUF5exoQJFaSlpZGerkOlUhGJROnr66Ory0M4HObll9cmtEdr1aqVpKam0tTUTE6OnerqS7S0tNLe3vkhR2+44pFHVjNr1vSByoxMrGoGAgGxX+cPf/jTNaX4ChmuVavuYMmShVRXX6KxsYmWljYaG5tobW2XdD1LS4sZN24Mx46dxGQy0NrajsvlHlYzOAdDWM9vf/vrVFdf4u23N4t99MMVCoWC0aNHkZmZgdPporW1bVgEQ5///ANMnFhBQ0MTLlfXAPU9LtTmdrs/xKKQGqtX34dGoyEWizFjxlQ6OjrxeLppa2sf1BPclvC+0Oeff4oXX3yVVatW4vPFxe0aG5uor2+kublVpMRKDcHhnTFjKmazic2bt30osBSCjuGAkpIi/uu/vs33v/9TqqqqP9JhNxoNTJo0QbJZnc8++wQbNrzDhg2brvr9+CSAgOTvwGOPfZnMzHTOnasS2XEdHZ309vbS3x+mv79fXN+kpKRryvxISlLzjW98RbwH3e6ugRYRx1VZbzKZDLvdRnt7h+TrCPDss39k/fqNbN68bdjsl8FIS0tDqVTg9/uHhSLwX4Nen8kPfvBfbN68jc2bt1JWVsr/+T9f5cc//sWASOx87r9/Fffe+/mE2rVgwVwaGpo+5HsrFArkctmweBetVjP/9m9fwGbLYs2a19m6dQdKpZJwOIxMJhtoMZBd8/aGv4Y///mP4kSe+OjaC7S2totVYYfDhd1u49FHH+Z73/vx3xXvfOorwbfdtpzm5lYCgQBJSUniCICeHj+9vb0Dg+s7xbEQUkMYlVFXV88772wB4he63W4jJ8eO3Z6NyWSksPBKJjlRCAZDuN3NFBXlM3nyJK67biIgIxgM4vF043A4aG5uxel0cfx45bALjK1WC1OmTOaVV9axbdt75ORki8O4bTYrFku8x+xa97gOrhYEgyFSU7Vcd90kNJokZDIZoVAIt9tDMBjkxRdfTXjPYHn5SIqKCkhO1rBw4fV0djrw+Xy4XF3i+J729g7cbjednU7JKTXC55eWFlNX13BVe/Lychg/fhzbtr0nWRuBALPZxK23Lh+YaRwjKSmJUCiE1+uls9OB0+mmsvI0p0+fTbhtbncXTU0tjBhRAiAqVPf1BfF6fbjdblpb2+np6WHPnn2SswA2bdqKQqGgqKiAWCxGRkY6en0mWVkVTJs2BYDe3l6USiVPPPG0OK7kWkKpVPKrX/0eh8PFrl17MRj0mM1GiosLReZRKBTC6XTT1NTM73735DW36aMgBJFz5swkFOpHpVISDAbFkR/x91PN+PHjqK29LNnID8HO/Pw8uru9f3UPO50uyQLgtLQ0cQLBR2G43I0OhxONJomlS28UvxYMhga0H9ppbm4V2WjXOuFuNBopKiokLy+HefNm0d8fxu/34/X6cLlcdHY6aW/vEO8fp9M1bJg96elpqNVqUVRToVAMm8kJAPn5uaxYsZSJEyuQy+V4PN1ikvDy5TpaW9tpaGiU/C6HwRMU4n2sVVUXiUQipKamEolE6OryIJfLycqySpI4vueeO1mzZh21tXXi8xUmPGi1OoqKsqipqZUkESKsXUXFOCwWC06nmyVLFnL+/AVxr2g0Gu6+eyUqlYrf/vaJhNs4GP/5n9/HajWTlWWlqKiAnJy4GnS8fzmK1+sTRWr/3jGCn/ogODvbhtfrY/nym7BazfT29g4SoOkYcDpd+P1+6usbRclzqTA4sx2X3A+LdAaB6w/SZOffeGMDEM/Q7d69D4vFjNUa77cT5h6WlcVnMXd0dA6bEUlXmu8LiUTCXLhQRTgcHhCFGEqX0+l019we4fnm5NjZsmU7u3a9T3p6OllZ8f5Fi8VMZmYG+fl5CVW0FfD225tJTdVitVro7w9jsZiwWi2MHDmCioqxQFysQqVS8tJLa3n//f0Jt/GDSElJFtU5r7YviooKuf32m9myZYcE1sUhVKxnzZrOdddNQq1WcfjwUZqbW7Hbs9HrM8nNzWHChApRfCPR1DSBCfP880/x7rvbqam5hM2Whd2ejdVqJifHzogRpSQnazh0SPrxSIL6bmtrm6gampGRjslkFHughF7rRAmihcNhKivPIJPJePHFNSQlqUlPTyc9PY3MzAyMRgMmk5GcHDtabUpCbPooXBE6zOLQoaP09cUrfYOdYZsti1Wr7uCPf3xasiBYQHZ2Fm53F15vPPkyXIIMGKyonwPE162kJC740tPjJxjsIxTqH1Y2v/LKa5hMBn72sx+wYcMmmptbyMqyYrNZsVotlJQUiXfi5z73r9c0SGppaeWhhx7FZDJit2eTl5dDTo4di8VMaWkJY8eOIRaLoVIpOXr0OL/73VPDhrprMhkJBPrEu+eDd9DgpJIUuOeeOykpKSYYDLJr1/vo9XqysixMm3YdixZdD8C3vvWfw0rHJScnG4/HI7KPSkuLcblc9PT0oNEkkZ1tS3jLkMGgR6VS0d3tvepeGD9+HIsXL+Txx/8zoXYJEPbDiBElXL5cx+uvv8XDDz/I0qWLeeKJZ4C4r5Sfn8ulS9JPdmhpaf3QO6fVakVfIzfXTk6OHY/H83ezFz71QfDPfvYbZDIZx46dwGazkZeXQ15eLtnZWYwaNRK1WkU4HEEul/G1rz0u2WwvAYJqcH5+LrNmTaesrJRoNN67WlVVzYULVTQ3t0qSZdJqU/D7e3G7u3C7uzh37oL4vaQkNQaDAYvFTE5O9oeCSykxOAh2udyigMrV5uQlKkOfkpJMcrKG1tY2MckxuOKrUqnQ6zMlEaKJRCKifP7FizXi17VaLTablZwcO9nZNkaOLMXpjM8PlsoZGTyKJhqNXjUzrFAo0Osz8fl8kvVkwRWHfcqUSRw+fJTc3PiYpPXrN4p/p6JiDF/96pf+7qznJwFhnuXFizWcPHlqSO9vcrKG5ctvYtmyxcNOTVStVhMKhfB4uvF4uodUrhKZNBQ+65577qCsbAQ/+cmvRAbF4L+j1WpRKhUf85uuPYT7JiMjnba29qsm3QwGPenpaZKKRgp7p62tgylTJrNgwTzOn68SK4Xx2azSJrAFG4Xe82XLlrBs2WJ8vh6xetnS0orb3UV9faMowCglIpEI6enpxGIxzpw5x8WLNSgUCtRqFWq1moyMdJYuXczYsaMTQvO8otPh4MSJSvHryckarFYrdruNESNKxF7v4RIEe70+WlvbePjhBykrG0Fzcwt1dQ20trbS3x+WtMKalqajtLSYw4ePcd11E2lpaeP11zeQnp5GWloas2ZNY8GCeWJCUWoIzzMYDKFQKEQ/zW630dLSht/fS1aWFYNBz759BxNi0xUmSi79/f1XjRNUKiUFBXlkZqYnxKar4UqBJZuamlouXqxh9+693HzzMkaOHMGFCxdJS4snYweLXg4HJCUloVar6OnxU1tbN2T8oqCP8/fgUx8EQ/zFuEJ7rhS/npKSjNlsGsg45EgeAAsbbeTIETz00P2kp6dTV1ePSqWiqKiAcePG0Nnp4MUX13D+fFVCbcvOtvH1r3+ZuroG3O4uOjo66Ohw4HA4cLm6CAZDtLa20draNixEAQZjcOXV6XSJ1Q4p6So5OfaPDNogLtQ2HC4ljUZDcrIGr9eH3++npqb2qrQ4qR0Rk8k4MK7pwzTJeNY4C4fDJYFlVzB4VNv77+9n794DfOc732DhwuvZtu09IH7xK5UK6usbh/xMIjC4kiWMbYJ4wDaYFq1QyCUdM/VByOVyiooKmDFjGna7jb6+IG1t7YPmInYkdDan8Mzs9mz8fr84l3NwIB6JRMRqptSwWMz09fUNSQ4KSUGZTIbJZCQcDg+LnvXdu/cycWIFN9+8lKVLb6S724vT6Rq43+PzLw8ePCIpo+vYsZN84xv/l4yM9AEWhQ27PZvy8pFMmTIZjSaJdevWs2HDJkmDOIGZUlpaTHe3l56e+B6JRCIEAhECgT76+vpQKpUJT4AkJamxWCyEQqEBPYo+6urqqaurFxkfMHzm1nd2Onjllde4+ealzJo1TWx7iEajItNwzZrXE+q3DW4hiETi6tRyuZxbblnG4cPHcDicOBxOJk6swOfrkYR19nE4efIUixffwJe//Ajvv7+fnBw7R48eR6tNYfLkCajV6oT7wTk5dlyuK9oYgyv8Go0Gi8VMbW19Qm0aDOEsMRj07Nr1PjKZjG3bdrJgwTwWLbqeqqpqdLpUUlJShk2hSqPRMHv2dIqKCtHpUunu9tLR0SkWh3p6/HR0/P19/58FwYOgUqnEC9/v7yUQ6KO+vlF0OKXG4P6sWAz++79/SFNTCxkZGWRmpmO1Wrj99pu5++6V/OY3fxSrcIlAenoaKpWK0tJitFotMhmEQv34/X66ujw4nS46Ojpxu7u4fLle0krWByEcDEVFhQQCvdx99+20t3fgcrnF8Vg+ny8hlQThGRcVFSKXy7FaLXi9PoLBIH5/L6FQaFiIashkMkaMKGHmzGmYzSYAXC63qFDe2enA4XBK3hMqPFu3uwulUsnUqdfhcLgIh/sJhyMDlY40srKsnD174a/8tmsPYR85HC7On69i794D3HHHrRw8eASfz4fNlgXE51lLBbs9W0x6wNBkUWpqKrm5OcOCNifspbKyUj7/+Qcwm020tbWTmSmntLRIFAJRKJS8//4+nn/+lYTYJbyTVquFI0eOiXvkakq3UiePAHHObklJIUePHh9iZ3KyhuxsG62t0o4OFBAMBvnhD39OXl4uJSVF5OfnkpOTzYQJY9HpZgAkrDr0UVCr1QOBeccQRVatVktGRjrZ2VnDwucQ3r3sbJs4RxuuMKQikQg6nY6sLAtVVTUf+Xs+aRQXF7J06Y1kZmaQnJyCz+fD6XSJd4/b3UVVVfWwCYAFVFdf4qmnnsVgiCsuC61NBoOekpIicVZvovd9QUE+PT09tLa28fbbm/n+9/+Dm29eyquvvk5aWhq5uXZaW9uAK4mR4YC2tnaeeeZ57rnnTu6663aAgRGnpdjtNjZs2MTly4mh9ArPKxwOk5SUJO6RwWuVlpaGyWTk4MEjCbHpo2A0GgZ8DCexWIxQKMQbb2zgkUdWU14+UvTnpPQx4Mo+WL58CcuXLwHiWg6jR49CLpcDiH75H/7wp79bk+CzIJj4Rb5s2RKuu24S0WiUUChEW1sb7e1xZ97v7x0YYj886H3FxYVcuHBRDHI9Hg8ej4e6ugbC4QgPPXQ/ZrMpoUHw+fNVfPnL30Cj0WC1msnLyx0QlrJhNsd7eBQKBRpNEu++u13yeawfhFwu5+zZ89jtNubOnSV+vbe3d6Cy7cDtdvPSS2uvaRAqHKZCL+CDD94zMLzcQ3t7h1hN9/l81Nc3Dpl9mQgMzh4//PCDWCxm3O4uQqF+CgryxT71aDTC2bMXJBX1GYxz5y5w5MgxFi++gREjSmhoaKStrYPe3l7mzp2FWq3m2DFpZi7D4Cpr7gDdvBuAjRs3M2nSBFatWslTTz2L2Wyiu9srikEk0lkSPqu724tOl0pFxVg6O51EIhHxe3p9BiaTUfJAA66s6ezZ8eCnv7+fs2fPs2nTVrEXuKiogHnzZidULVxYK5fLTWFhAXl5OXg83fT1Benv7xcdp+EQAEPcGTp+vJIlSxZhs9moqamlrq6O5uZWJk0az9ixo9m1632pzRyChoZGGhquBJJyuRyj0YDRaJA8ifiVr3wBh8MpijcJKsdCIDI4gSTlOzD4PR0/fix6vZ6uLs+Q9TMaDej1mVRXJyYITk5O5nOfu5e8vFz6+vqoqqrBajVjt2ejVquIRCL09QX5yle+mRB7/jeIxWJ4PN10d3uHUDmF5IfA7ErUM7/CLIy3LQniQjt3vs+NNy7g/ff34fP5sVotnDx5OiE2/a1QKpUkJ2s4deoM1dWXyM21U1CQT3FxIUlJat59dxt79x5IeMB+4MBhlixZxL/927+yd+8BGhubaWtrp7PTwbRp16HTpSa8Ov1BpKen09zcOoS5c+jQEWbPnsEjj6ymtrZuWDC5hH2wYMFczp49T1FRAb/85e9pbGwS9/zMmdOYNGmCyFL5e/CpDoKFQ2DFiqUsWbIQuVzOkSPHUavVlJWNYMqUycRiMeRyOU899azkQbCwoY1GAy0trUPmtsnlciKRCJFImNRUbcKlzYW17Ou7evU8IyMDm81KaWnxkOz3cEE0GuXnP/8NEP+3ZGfbKCzMF53U8vKRQOyaV4uEjb99+05OnKjEYNBjt2djt2eTlWWlvLwMtToJpVLBL3/5u4SrlgvPeerUycjlcpxOFxcv1vDkk3/GYNBjMhkpKysdyNzF/y3DJXv85ptv097eycSJFUycOB6dTodSqaCtrZ1XXnntQzN5Ewnhuet0qVy4cFG8oFpb29mw4R3uuut2zGYTNluW5IJye/ce4LrrJnLHHbcyfvw46uoaaGlppbc3wI03LkCtVidEZfmvQVjTESNKOHz4GHK5nAUL5rFz5/ucPXsegKqqi0ydOpmGhsQzU959dztf/eqjfPObX8PpdNLa2k5bWzvt7R10dXno7vZKfucIWLNmHT6fjxkzpjJ69EixagXw3nu7Rbq+1NDrM8nLy8ViMdPd3Y3L5aary4PX6/tQ37UU0Ol0GI0G8vJyREqskOQU+oI7Ox3DZj0B9u8/yKRJ43n88cc4f76KlpZWHA4nXV0ebrppkTjT/FriCkOqAIvFzIkTleTk2PnTn/6C1+slLU1Hbm4Ot9yyjKwsq+SJjg/CaDRw9923k5OTQ09PD06ni0uXajl27CRud1dC2zEECHdyX18fNTW1YiDx5psbmDRpPJ///IM0NjZjMOjFO0fqxJzwHowePYoJE8bx5psb8Xg8XLxYM0SfRCq43V386le/Z9WqO1i6dPFAUaAfpVJFUpKadeve4tKlxI0tvRpqay8PEeZSKBT094dZv34jX//6vzFhwjh27twjoYVXYDDoSUlJYe/eA8jlcr72tS/yta89LravqlRqJkyo+IfaMT7VQbCAqVMnc/jwMSoqxtDW1s66detRKBSkpKQwdepkHnhg1T+UafgkkJyczKhRI4jFYigUiiEVQEF+HeJOAJBwetrgwzEjI52cHDt9fX0inVioVkudBfsomExGUfylp8dPc3MLzc0tQ5SNhXlliYAg3lNbW8eRI8eBOI0uLU0nOno1NYkdjTQYpaXFVFdforb2Mvffv4rTp8+yf/+hgbEUzcyaNZ3GxjidRuqLU4DP18PWrTvYunUHWq2WlJRkIG5fIlkTH4f9+w9x+PCxIf1X27fvwmDQM2vWdE6ePM2mTVsktDBOg/z9759i7tzZjB8/lhkzpqLVpqBUKunq8vD88y8njIb2cRDeu8zMTHp6enj33e1MmjSeBx5YxY9+9AsikQjZ2TaSk5Ml6X86duwE3/3uD5k4sYKcnBxKS4uZMmUSSqUSuVzOiROn+OUvf5dwu66GSCTCxo3vsn//IaxWC5mZGahUqoGxSB2Sik59kPZutVrE78WZPB7a2trp7Q2we/f713yUz8fB5/Px2GPfRqlUotdnYrfbyM/PE5VOKyrGUFfXwLZt7w0bOnxrazu/+91TrFhxE6WlxYwdWy62Efj9fp5//uWEnZ8lJUV0d3vZuvU9Pve5+/jXf32In/70V3i9Ps6du8C8eVdYXFInX4Xnl51tY/Xq+zCbTZw9ex6dTkdhYT5TpkzizjtvZ82a19ixY7dkdr7xxgZ6ewMiG8br9fHssy/ywAOryM3N4cSJSjHAHA7vI8TFI4uKCoboKchkMsLhMFqtlsmTJ9DZ6ZDE36ypqeXJJ/9Mbm58ZGl6ehqBQB+nT5+luvrSsEjQDD5bBHvOn6/iO9/5LpmZGTQ1NUtpnmhfQUE+4XCY5uZWXn31db73vX/n1luX8+abb6PVahkxovgfbrn7VAfBgrCH0WjgnXfepampmdtvv5njx09y+XI9Pp9PpAVI3cM6evQovvKVL4iiTXPmzMRqteByuXG73bhcXfT395OTY5eMyiCTyZg+fQpLly5GqVSQnJxMT08PbneX2LPjcLg4fFj60SkChIvyhhvmM3/+HFpaWujq6h6wt1MU93I63Ql19FQqJenpceGU/v5+uru78fn8eDxx26SqWgpOhdVqoabmEtu27WTs2DHcccetnD59Dp/PR35+HkajIeHziz8OSqWSoqICTCaj+C663V3D4kICWLXqDg4cOIRarR4Qoemhry9IJBIhGAzy/POvsH79Rvr7w6K4l5QOSW9vgM2bt7Jt23vo9ZloNBrC4fjcTqn7wAfDaDSgVCro6IjP53zhhTV84xv/xvTpU9i79wDp6XGlTqHnLVHQ6VLx+Xq4dOkytbV1qFQqNJokdLp4kquwMH9YCE1B/FxXqVRkZKTT39/PhQsXh82+GYw777wNnS6VaDTKH//4NABlZSPIyclm1KgRaLVaDh+O9+NJGWAKzvoVleM4m0evz+T//J+v4nJJq6h/NTQ3t/CHP/wJrTaFrCwrFouZSCTC+fMXEyLgdmU2bD4eTzfV1TVs2PAOjzyyekBN/xg2WxZ5ebnDjrp73XUT0WpTePrp5zh9+ixJSWqSkjRkZKRz++03c8MN8zl79rxk48WE+bBabQq9vQFisRgnTlTS2ekgIyNdZM0MB6SmavH7e8nLy6GpqUVkQw4+jzIy0lm58hbefPPthATBY8eWk5aWxsWLNYTDYbq6PHR0dNLR0cnRo9K1WH0UtNoUpkyZTHn5SFQqJW1tHTQ3twy0YrQNC8HVwfvd4XASCATo7HSwZ89+Fi68nr17D+BwODGbzf9w7/KnOgiGuOgDQEeHg7q6embPnsHKlbfwk5/8Shy4PRyUL6ura3jmmecxGg3Y7dnk5+dSVlaKXC4nHA7j8XTjdneRn58n2aFlt2ezatUdpKen0dnp4NixEwPjpmyUlhaTlJREW1v7sAqCBSdj7NjyAdqKkpKSIsaOLUcmkxEK9eP1enE4XBw9epz3399/zR1ArVbLihVLWLJkkTgGwO2Oi3S1trbjcrlpamqmslKay16lUqHTpdLSEg8c1q59gx/84D9ZsmQha9e+gUajQS6Xiz15UjqbsVgMq9XCHXfcysiRI4hGo6hUcaEft7sLh8OJ1+vj5MlTktGpZDIZ1103kdbWNh566H7C4TAuVxft7R2DFIzjfUXDQaFTpVJitVowm010dXlwuz10dXkS2lf71zBYyToUCtHVFT+/q6qqOXbsBHffvRKPp5sxY8oTSpEVFKC/+93vUF/fwJ/+9BzBYJBQKEQoFMLr9dHS0sqZM9LTySGuzHnDDfO57bbl9Pf34/f30tnpoK2tnZaWNlyuuEKnFHRyAcL5UliYz+uvb2DBgrlMnjyR3/3uSXFW9dix5Xzzm18TA43h0GsrQHgn9PpM9PpMDhw4dNW/JxUyMzNITU2lp6dHTNxcupTYBOfgCQ6VlaeRy+Xs3XuA66+fy623Lufo0RNEImEyMjLE5KvU6yecQWPHjqa9vVNkIASDIYLBEF6vl+3bd7J69X3k5OTQ3t4pSeKjrKyU666bSHa2TRwhV1fXwLFjJyQXR/ogpk2bwuzZM8jOthEI9DFlyiQ6Ox3iGLTubi8mk5G0NF3CqpkVFeNIT09j4sQKJk+eSFdXvLWhqamF+voGGhqaaG/vuOpkCilw7713MWvWdHp6/Pj9fsrKSlEqlUSjUXp7AwQCAb773R9Jaq+wB8aMKae3NyAW/3bs2Mn48WO5++6VnDp1hsLCfLZv3/kPfdanNggWDpuSkiICgQA+n4+eHj+bNm3lc5+7V6RIWyyJFZj6KHR3e9m9e++Qr2VkxBWhc3Pt5OXlkZVlQa1WJUykQoCwluPGjSYYDHLs2EmysiysW7delIovKMjjoYceGFaOMlzZbGazmTVr1rF9+07UajVZWVZycrLJzc1h8eIbSE1NFQPja9UvIazjzJnTuP76eQAcPnyUqqpqxowpx2o1M23aZLRaLXv3HpAsCM7NtQOIjIOWlla2bNnOkiULcTiclJePxO/34/P1SGLfB7F48Q1MnFiBQqFg5849+P29FBTEq9W5uXa0Wq3YVyQFZDIZP/3pr+ntDQyohxqw2axYrRZmzZqOTpeKXC6nt7cXh8NFZeVptmzZntD1Fd5Ni8XMPffcQXn5qAG9BJk4SqO1tZ3e3l5OnToj+XgFYV83NDTx9NPPiTNX+/r62LBhE1/84r/wrW99Db/fz/btuxJml5BAS03V0t7eSTQaFTUdhDFTZWWl3HnnbTzxxDOS9bAKz3vy5AksW3Yjhw4dpba2jry8HLKzbUyaNIE5c+IU+BMnKvnlL38viZ0CrFYLCoWC5uYWnn/+ZR577MscPz6FAwcOo1IpsduziUajkvcEJydrCIX6hyRShf9OS9Oh1aYMEU2SCoMp5rfdtoKRI0cAiGdQfM5tPa2t7VRXX7rm89WvCO9l0tnpJBSK+xGvv/4W3/zmV3n44QeB+Lg7Yf2kDoIF1pTFYqaqqppwOG6zMNM0FovR399PenoaPp9P/FoiIDzf8ePHcf/9d6PVptDZ6cRiMVNWNoI5c2Yyf/4cnn/+ZUnbBz6Iy5frRNX3wsJ8RowoGRgn5xMV1/PycvF6fQm7g4T+favVQkeHA70+E6vVwuTJE5g/fzZyuZxgMEQsFuO3v/2jpHoZNlsWU6ZMxuFwolKp+P3v4+wOi8WMzZbF2LHlmM0myQN2YR889dSzJCUl0dvbi0wmo66ugbff3syqVSu57rqJNDe3cuzYyX/osz61QbCwyEajAYfDJQZrhw4dYfr0Kdx++81YLBbGjh09rOggAtRqtdg3OlhoSqVK/CMdPNbH5XKzadMW/u3fvsBDDz3Ab3/7BABOp5tYLCY5rfxqyMhIHxjCHQ8qQqGQqC6qVB5l8eIbePLJPzN9+hRmzJjKnj37rkk1+MrFNJZz586TmppKUVEBL7+8VuxNzs3N4Vvf+pqkzITW1jZ+/vPfiJXeaDTKli07KC4uYvXq+/D7e9m5czcwPCh9EyeO5733djNu3BgUCiVr174x6HsVfO1rXxKDJCkQjUZFOu6+fQdRqZQkJSWh0WjQarWkp+vQ6/WYzSaKigpYtmwxfr+fzZu3JdzW225bQUXFWORyORs2bEKhUFBWVkpRUSHjxo1BJpPR2emQPAgW3juDQU919aUhmg51dQ08++yLTJo0gYsXqxMmLifMK9ZqtWi1WpqbW8Wk4ODzxGIxU1JSJDrGUuBKYnMMTU0tvP76W6KCrEqlIjlZQ3p6Ona7TVL6+xW1+lwCgT7c7i6am1s4ffost966YmCkU1RsHRr8M4mGUqnkC194mObmFlEZurvbi9/vJxgMUlRUSCQSEe/I4VCtvvPO29BqU1izZh3RaJSsrHhyrqSkiAkTKkhO1vCjH/2Cc+cSM17ui198TJxRDXD27Hneeusdbr11ObFYjJ079+BwOBNiy98CYQwbIM4xHfxc9fpM1Gq1ZBXXG26YR19fkB/96BdigshsNmG323jwwXu59dbl/Pa3T0oeFAm4dOkygcA7lJYW88or63A4HOTk2MnOtpGTk82IESX09/fz9NPPJazgIvgODoeTysrTJCdrSElJIS0tjczMDIxGPQaDgdLSYtxuT0Js+iCEM6+0tJienh7Wr9/I3Xev5LrrJrB27ZtijPP5zz8giX0fhavti+3bd9Le3k5eXi7nz1cNmQLw9+BTGwQL2LXrfbZv3yWOJAkE+njjjQ38y798jpUrb6ahoelDFVgpoddnMnnyRLKy4uIfTqcLh8OF2+0eGLPgv+ZZ2Q9iMFWpurqGmppaNm7czP33r2Ls2NGcPn0Wq9WM1WoZVqqXwsFgt2cTCoXEwFImkyGTyYhGo4wePZJwOExvby8ul1vMPF4LDF7HAwcOs2HDJr797a+zdOmNrF37JhAX50pJSZa0WhAI9FFZeWbI19zuLv74x6eZNGkCXq9XzM5J7cjJZDIyMuIjAc6fr+KrX/0iZ8+e5+DBw0P+bmOjdEIQU6ZMxuPx0NbWgdfrpb8/TH9/mJ4ev8hCEd7JnBw7jz32JUaNKktoECw8x3HjxrB163tMnToZjUbDiy+uEf/O+PHj+PrXvzysnNBHH32Y/fsP8eabbw+hkp8/X8X581UkJ2sS5ixptSnMnj2DOXNmEo1Gueuu25g2bTKtre00NjbR0NBEd3c32dnxwFLod5MCwvPOz8/l4sVLohCjMFcyFArR3e2VPKk5mHLa29tLIBAgEomwY8cuvvSlR1i+/Cb27NlHbm6OuMelCoIzMtLJz4/PLxZ6l32+HhwOJ319fZSWFnPmzHnJRTgFyOVyCgvz+ctfXhJ9IJVKRUpKMqmpqaSnp2E2m6652u3g/sDS0mL27Nk/5Pvr12/kxIlKNBrNsFAIHgyFQkF19SXmzp1JdfUlmptb6O3tpa8viFqtYuTIEaLflkhcaSEoYNeu94foyAi96pmZmdx9d3wqwT8aaHyS8Pt7eeqpZ7l06TKhUIjLl+uRyWQipVcKvYLkZA2PPvowv/jF7wgE+ggE+nC53NQNuGmDZ2tLgcF7KBAIcOzYCQwGPbfeupwTJ05RU1OL0WggO9smqS/0Qeh0qUyaNIFYLDYgVttKX1/c//ygD/r34lMfBH/5y//Kjh27xLmWMpmMqqpqvvvdH2E06kWaxXBAWloaq1ffT0XFGKLRqDgwGuIHg8PhpLm5hSef/HNC7RpcVd+5c88AZfh95s6dNSCYdFasHly+XJ9Q2/4WaLUpBAJ9GAx6IP7vEf5Nubk5uN1d9PX1YbGYxGTJtYAQtOl0qbS3d1BbW8fu3XtZsGA+Bw4cpqmphYyMuCprfb20lbZx48aQn59LNBrD5/PR3t7BxYs1bNmyXVK7Pgih59/pdHH69FkqK09z1123cezYCSKRCDabTfKe/5tuWkR19SVGjCihoCCPlpZWWlvbqKtr4PLlepqamunu9hKLxWhoaOTgwSM4nYkPNFNSktFqU0SWxL/+60OcPXuekydPid+HK0IrUkLYvwaDno6OziEBsEA9njRpPCtX3sL3vvfjhDihoVA/mzdvG6AcltLT04Pdnk1ZWSkqlYpoNEYsFkWpVLJ7975rbs/HYfCZvmvX+4RC0qk/fxwEyml7e3zmt8DmOXHiFPv2HeTGG29g8uSJGI16kU0jVWLO6XTxrW/9B1qtFoNBj8USn3Vps1lJT0/jwIHDrFu3XhLbrga7PRuFQjGk0h8Xaeynu9tLS0trQtV3p0+fwqhRIzl27CSBQEB07GOxGPX1jeTl5WAyGSWnvA9GMBjk7bc3U1CQx9e//mVaWlppb+/E7XZjtVooLS0R78xEJ2dUKtVAW0bHkESgYEdvb4CkpCRRqG04QCaT4fF48Pv9qNVqwuGwyAyQstVOr9czfvw4vvCFz/PEE88AV3r9Ic4ImDbtOskKasJ7VVCQL7LOtmzZzty5s7jllmX89Ke/RqFQYDabOHr0uCQ2ChDev9zcHFatWklpaQkAarUKiMc6gk7K0aMn/uG2wE91EJySkkxRUQHbt+8UXxIhEPF6vQlRPfxbILwUY8aMYsSIElwuN5cv1/Pb3z5BXl4OdnucBjJr1gxRMj7RSE9PIxKJ4HK5iMVihMNhXnttPY899iW+8pVHSU3VEgj00dLSKol9V4PwzGtqanE6XSxffpMo3uX1erFarcydO4vz56sIBPqw2WxcvHhtZxzn5tqRy+ViULZlyw6mTZvCzTcv5ZlnXsBmk16obcmSRaxYsWQgEaMgOVkDgMvlZseOXbz77nbJ5wILe6a4uJBAICDu5Xfe2cK3vvU1brttBa+++jpZWRbJK5dr1qzD6/XR3e2lo6MTg0FPUVEh48dXoFTGM8her49gME5be/XV1xNqn7CWOTl2otEoTqeL2to65s2bzZ133kpl5WlkMhk2WxaBQCDhTJQPIikpifLykRQXF4r2q1Qq0UkS3k2TyYTZbE5YFSYYDNLW1s6ZM+cIhUK88MKagTFNWaLQWEpKChcuXOTEicqE2PRx0OszUSqVqNVqDAb9wLMNSr63r4a3394s/rfwvm7atJXkZA2jR4/i3Xe3i4KMiQ6Cc3KyRYZWJBLfP8J89eGIwVUjIdgVvi78AcQe9msNlUpFKBSioCAfp9OJx9Mtfr6A7GwbDz/8OXbu3CMm4qVuw4H4mjU2NvHd7/6ISZPGM2pUGTabldLSInp7A6xZs06y5IzQJy+IBgoQfGCLxUR/f/+wYSYAA2KHudx881LGjx8HgMvlorm5lfr6BurqGmhvb6ejw5HQ9WxpaeXZZ19k9er7iEajPPPM80QiEbRaLePHj+XBB++hublV8iDYbDZRWXmaYDBEJBJh/fqNfP7zDzBnzkwikQg6XWrCRe8+CGHvTp8+BavVwmuvvUFbWwcWixmz2YTZbMJo1DNnzkxA9lkQ/I9AOAQ+2Cs0HA7PwRDsGjVqJI2NTZw8eYo77riV2bNnsGfPPurrG9m37yAWi3nI/OBEorvby0MPPTqkOl1ZeZoNGzZxyy3L6O72DunFHE5wu7t4++1N3H33HaI6byDQR3JyMp2dDrZv34lSqSQry8LmzVuvqS3JyclcvFgjvpNOp4sNGzZxzz13oFAoyM3NkfSQSk3VsmLFTZw7d4HXX3+LcDiMTqfDZrMycWIFN9+8jLq6BsnnQQt7ODVVS11dg7gvLl6s4b33drNw4Xxyc3MoKirg0KEjUprKhQsXgfhFKpPJSE9PIzMzE4MhE6PRMPDHiN1uEytdicQVkZwRouBZf38/W7Zs54tffITFixeyfft7ZGdn0dYmXW+1gLQ0HbNnT2fixPGEwxFuuWUZU6dOFgW82tra6e8PM3r0KFpbE5eUE9Zx9+69bNz4rvh1l8stqVjKR0FgxqxYsZSbblqE291Fa2sbzc2tNDW1iKPjpE4Wy+VyZs2aTl1dA62tbWLVv6Ojkz/84WlJbQP42te+xM6de8jNzRFV8zs6OnG5uvB6vfT2BgiHw4RCoWHhe1yZ0ZlHSkoyxcWF+P29+P1+SewbO7ac4uIiCgryOHPmPMXFhTidLgKBAIFAH9FolKQkNfn5uZIwZD4Ownr5fD527XqfXbvel9iioX30crmcBQvmk51to6MjToPu6upCoVBgs105z4dLUgHg/vvvpqQknkQ4cOAQZrOJrCwro0aNIDk5zkb62tceT3hye+fOPfT29rJ69X0Eg0Hq6hq4/vq5FBbmc+zYSTZu3PzXf8k1hEwm4623NlJTUytWqPfvP8SYMaMG/N4ILS1t1NdLS30Xkmzl5WVcunSZrVvfG/LuJSWp0el0mExG0U/+R/CpDoJTUlLo6fFjNBoA6dUEPwqCXXl5OTgcDrZt20lxcSG33rqcM2fO4XZ3UVCQj92enfCNJszZvffeuxgxooRf/OK3YqYW4oPYd+zYhVabMiwc5KtBJpNx/Hglx49Xkp+fS35+HmlpOmKxGIcPH6Oz00FBQR5NTS3XPHtfVVXN//zPT4Z8bd++A2RnZzFjxjSam1t48823r6kNV8Pg4eUaTRJbt+4QaTWdnQ5qay9TXX2Jr3zlCyxYME/yIFjAO+9s4Z13tojJGaFCZDabmTBhHAcPHmHr1h2S2jjYwYjFYqLgXV1dvfh3hIO/tzfxAiVCtUejUdPQ0CSKCJ44cYrDh4+ybNmNlJYWMWpUGTt3Su/kuVxufv3rP/Lf//0d8vJycbncZGVZKS8fKfb6h8MR/H7/kAritYbwjJ944te8/PJatmzZQSwWG6hWliOTwZkz5yTtBR6Mjo5Ofv7z36LVpmCzZQ2IIsXVYzUaDUqlgr17D/DUU89KamdeXq6oDhyNRnG7u2hpaaWxsZnLl+uor2+UlO3x1lvv0NbWTklJMXl5OUyYMA61Wk0oFJ//3tHRSUtLG263mx07dhMMBiWzFa68p0qlEplMzqOPPgzElaE7OjppbGzm0qXLtLa2UVNTe02rwTKZDKPRyKJF16NUKpk4sYKysjgbrqPDQUdHJ52dDkaNKiMcjoiCfMPFl1Or1VRUjGHy5IkolUo6Ojq5dKmW+vpGydrshLXp7u7m9OlzmExGRo26GY0miUgkgsfTTVeXB7s9m5aWVnJzc/B6vUP8OqkgsKSOHz/J+PHjqKmpZd269WRkZJCensbs2TOYNWu6ZPv90KGjhEIhHn74QaZOvY5Tp87wpz/9hZaWVsnfSaPRgNfro7n5SuK3v7+fNWtex+PxIpfL2Lr1PclbX4QAPSvLyunT51CrVaIafCwWGxgx5vrE9s+nOggW+u0eeWQ1N954A+3tHdTV1dPY2ERzcyseT/ewoH4Jm8dkMnD8+ElCoRDr12/kv//7/3LDDfNYu/ZNlEqFpFQGu91Gb2+vuF6DHfvubq+kCqJ/DbFYjMzMDKLRKPX1jVfNhNXVNfDLX/5uiIDEJ4mlS2/kwoVqYrEofn9chEuoaPT2BvjLX17ixRdfJRaLSSauAFBcXIjH0y1SpD74nF0uNxqN5kPfkxqD93FXl4df/vJ3JCWpkcsVkitfCvSz0tJi5s6dhV6fidPpprb2Mg0NjTQ1tYgHv5RrKoizCSN9IpEIGze+i9FoYNKkCRw+fOyajQ/730B41nv27EcmO8B77+0G4okEm81Gfn4uZrOJc+cuJEzVVoBenwnEA/VYLIZCoeD2229h0aLrgTgr5fvf/+mw6Gv0en0i1UwQnklJSSYtTUdGRga5uXZJ5wMPrlj29/fz3nt7SEpSY7GYycqyMmJEKRpNEhAXvtuwYZMkM+oFuutvfvPHgfVLw2jUY7PZsNttZGfbmDJlEhkZ6WzZIm1CDq74G1u2bOfkydPo9XFGitlsxGQyMWHCOGbMmIZSqeA//uN/rqkSfCwWY8uW7VRWnuLnP/8hmzdvIxqNUlCQR2FhPhMnViCXywmF+lm/fuOwGcsH8QD4gQdWMWfOTDo7HUQiEcaMKefGG2/A7Xazbt16Dh6UjoV0+vQ5Ll9uQKNRo9VqyczMxGw2YbNZMZtNdHZ2YrGY+eEP/4tnnnleUoHYKxT9Avr7+9m+fRcqlZply5Zw5Mhx2traaWtrZ9Kk8ZIF61fu8NnodDpOnz7Ln//8guRB5eDRm7fdtoJvf/u7Q2YoO52uIQKXUkKhUAy03vSh0Wi4fLmOYHDo+gn+B3wyQmOf6iDY6/Xy5JN/Zs6cmYwYUUJ+fi7jx49FrVaLwlM//OHPh0VVSxirIQSTDQ1N7Nr1PosWLaCm5jIFBXkD/SeJVXYTLkyr1cKRI8eGqIgOxnAKiAZDo9EwefIEpk2bgtlsJBwO09npoL29g6amFlpaWmlpaSUYDF2zABhg+fIl9PUFWbr0RiB+MLlcbtrbOwYonB04nU7JkgmD+8Sam1vEKvDgZ5qRkYbVauHUqbNDfkZKFBUVcuedt6LX63E6nTQ0NNHU1DwwpqRT8gBYWKNp067jrrtuR6/PpK2tHbs9mzlzZgCI4h8vvbRW8iBTYH4Iz7W5uYX/+Z+foFAoUKvVkq8nxMXsOjo6OHz4KJFIVLQ5GAxRV1c/pMKeKHwwYBPOkpEjR7Bo0fUcPHiYEydOce+9d7FgwVxeeWVdwm28GtLS0tDpUlEqlfh8Pvz+XrxeH01NLZw5Iy2FW1jTESNKqK9vZP36t/H7ewfGisXtvv32mzEaDajVKpYuXURDQ6Mk49BUKiXJycn4/b309PhpbW0TKfAqlRKtNhWdTitpgvODaGpqGSJyp1IpSUtLQ6/PFIW9rrW/kZ1tE2cr//GPT3PgwFBVf0FkTK1WDRsF4ysjIwuYPn0Kr776Ou++ux2z2URmZgZWq4WZM6exevV9OJ0uyebwhsNhPB7PoK/EpYzjIqbxZFdqqhar1fKJKfH+vbjif+TR09NDY2MTGzdu5j/+41ssXXojGzZsIiMjHbs9O+HjppRKJZMmjeemm24kLy+H8+ereOWVddx00yLuuut2XnjhlYTa80EIa2ezWTl/vkp85sLX5XI5MplsWJw9JSVF/Pu/f1Os8s6ZM4v09HTa2ztobW3D4+n+xAtBn+ogGOJVoY0b32XHjl3odDrS09MwGPQYjQYKCvLp6OiU2kQAQqEgv/71H4eMpNiwYTMjRpTy2GNfIhwODzS8J5ZKJTjDLpebwsIC8vJy8Hi66esL0t/fL1ZlpA6GPgjhAJg8eQL33383ycnxsUPhcJi8vFxGjChFoZCj0WjYsmUHL7306jUN6n74w58TCoUGaIcWTCYjubl2kpKSiMVi9PUF6e7uxuv18ZOf/GqI2m0ikZWVhVwuY9Gi66mra6CjwyEeqtFovKIuJI2kfubZ2Ta+/OVHAKirq8doNDBr1nR0ulSRFnvp0mW+970fS2onwLx5s0XhpkOHjnLy5CksFgt6fQaFhQVMmTLpqiyLREEmk1FcXMiyZUswm034fD4uX64fJEbSMSwC4IyMdL7//f/gT3/6C4sWXU9DQ5zV09raitPppqenh2AwSDgcSeilP3iWeleXh64uDzKZjJkzp+F2d7F+/UY6OhzMnz8Hk8mUMLs+DtddN5GHH36QpKQ4TbKry0Nnp4PW1nZaWlrp6uqisvKMZGypwW1CDQ1NRKPx//f7/fj9caaKUqnk1KmznD17nlWrVmK3Zyc0CBae+6RJE5k/fzb19Y3iCJquLs+A4F3fAN3UkzC7/hYkJ2soKSkmFArh8Xjo7HTicrlxudwJC9yWLFnInDkz6e/vp7c3wNy5s0TVfCGhITzr4YayslK8Xh8nT54mEomI1crz56s4deoMjz/+GBMmVFBTUyvJma7VpjBr1gxUKiW9vQFaWlpxudyiKKzQ619VdW3FQP83GDGilM5OBwqFgosXazh48Ag33bSIvXsPEI3GsFot4qSXa40r49nK+dKXHuHChYv8/Oe/obq6lr6+Pnp7e3nooftJTtZI2jIivFdpaXHxWmFck/D14cB2FRAKhTh27AQaTXx04YgRxYwZM4pYDILBPrq7vbS3d+JyuTl58pQ43/gfwac6CJbL5ahUSpRKFZFIVDykBKhUSnHAuVQYLIql1aYMqUZ6PB6eeurPzJw5nUgkImmV6N13t/PVrz7KN7/5NZxOJ62t8bVsb++gq8tDd7d3WFD8PojZs2fQ3NyKzZZFVVU1b7yxgYyMdPT6TEaNKuPWW5cnpHdHoGAPzhrqdDrMZiM2WxY5OdkUFOSTkpIsSQAsHJThcD/p6emsXHkrEE/OCM82Go2JVOjB4wESjStq6uUAPPHEM1y6dBmDQY9OlzrwfPXk5GRLTp8TLqKSkmJeffV1Ro4cwZQpk9m0aas4TmzMmHKmTJkkSb/bYAbAF7/4LygUCpqamjGZjFx//VyRbgpxga8f/OBnCbPtaohGo/z5zy/Q1eUhEolSVlbKtGlTSEqKj9Po6orPY25vb6em5vKH5kVfKwjPzGbLwuVy093dTWFhAePHj2PfvoO0trYPqF4aqK6+lBCbPg5ms4kHH7yXpKQkWlra2LJlO2VlpVgsZqZMmUR6eho+Xw9f+MJXJbNRWFOdTofb3SUmYQbT5bKyrBw9epxgMEh6evo1HXF3NQj7Z8aMqYwcOYKsLCtpaTrkcjm9vb243R4aG5toamqhsvKU5OPFBHuzsqwsW7aYWbOmi0I1gUCAzk6naO+ZM2evub2bN2/j0qXL5OTYsdmsGI1GCgsLuOmm+LkTCvXT2dmJ1+vj+edfGRbTJwZXgjs6OkV23OBZsSpVvN9aKphMRu699y4mTqwAoK8vTj8NBkO4XC7a2jo4d+4C27a9J5mNg3HF/whTVVUt6lKsXfsGFRVjWb36ftrb28nISE+Y6rpw/oRC/Tz77ItD/G+ZTCbSxz//+QfweDxiO1GiIdh5/PhJ7rrrdu688zYaGhpxubrweOK+ud/vF0XmpMTly/X8+td/BOKipunp6WRlWcjOzsZuz8JsNpGTk82kSePp6+v7LAj+R6DVprBw4fWsWHET4XCE7u5u2ts7aGlpo7m5hY6OziFVLqkgHKjXXz8HvV7PqVNnh9jU0NBEQ8Na6QwcwLFjJ/jud3/IxIkV5OTkUFpazJQpk1Aqlcjlck6cOMUvf/k7qc0UMbiKsHHjFiorz7By5c0cO3aCmppaOjsdBAJ9LF9+05Dq+7WC1WomJyeH/v447Tocjl+UsViMxsYmLly4SH9/vyQXZ3KyhszMTFpb2/jxj3+F0agfEMmJV6xNJiN2ezY6nY5QqJ9HH/08gUAfX/7yNxJuK1zZM6WlxQNBTzuRSESswAgQ3k2pkZaWhlKpoKurixdfXMOvfvVjbr99BS+9tHZAGCYu3JdomhdcWcuKirH09/fzm9/8kYaGJsxmIxkZGSJrJi8vd0gCUSp4vT727NmHQqHgZz/7DVptCunpcQqnoCJqsZiZM2cWVqs14UGw0+kiPz/ONFmwYC5JSUkcOHAIiFexMzMzqK2tS4hNV8NginE0GuXQoaNMmFCB293FU089i0ajITMzg3vuuROzWfqKtUqloqWllaKiApKS1ASDIZEuZ7WaSU3V0tLSRkZGOklJ6oQHmVeSH1Z2797LO++8S1JSElarBZstC5sti+nTpwBw55238uSTf05YJevjMGfOTCZPnoBMJmPPnn00NjaTl5eDwaBn1KgyZs2azrZtel544dr2EgrtSBB/N9VqNWlpugGmVA4FBXkYjQaKi4vEYF1qCM88O9s2IHQXT84MTgqnpKSQmZmRcAq3sL/Hjx9LaWkxfX19VFVVs2HDJqxWC0ajgdxcO5MnTyQtTce2be+J7STDAX/84zMDwobxQoDT6eK5515i1ao7KC8vo7LyNJcuJY5eLpPJrhqICe/A7t17KSjIE4WdpMS2bTux27OZMmUys2ZNB+LJD6cz3nbX3t6R8PGLV4NSqSQtTUd2to1YLEZzcytnzpwjGAyhUCgwGg1kZ2cNEfj6hz7vE/kt/0S4kpmdxpIlCzly5DhNTc1kZ9vIyrIyY8ZUUlKSUalU7Nt3kCef/LOk9l65RG2cPXsev39o5UqY2yflaCedLhWfr4dLly5TW1uHSqVCo0lCp9Oh12dSWJgv6Vzbj0JSkpqUlBS8Xi979uxj2rTreOCBe/j3f/8eMpmM3Fw7SqVCFH+5Vuu7ZMki5s+fQ0pKMhpNEmq1GkCkrgifK5PJ2Ljx3YSPmpo1azr337+K//t//5uGhiY8Ho8owGaxmMnOjo/uCYfDFBYWkJOTLWa9pYCwXrm5dqqqqkWasVKpFGdbCrOspcTgURXRaBSPpxun08X69Ru59dbl7Nmzj6amFrKyLPh8PiKRiGR91iNGlOBwuHA4nESjUdrbO2lvv9IqIggnSQ2BgXD77Svw+3vZtGmrmPgQnOjkZA1paWmSzDPet+8A06Zdx+OPPwbAunXrxQp/ZmZ8Lq8UPcsCBgfBHk837767DZPJyLJli7lw4aJI89NqU2hqkk4US0B/fz979uzjoYce4PHHv05NzSUcDhcyGUycOJ6uLg+1tZe58cYb8Pt7E/7Mr4haGmlsbBb3TENDEzKZjJSUZMaPH8uGDZsZOXIEs2fP4OTJU2KlSypMmjSeysrT5OTkkJamY9++A7z3XgiNJony8lF84QsPUVOTWBHOuDJsEIcjiMPhFNtu5HL5QL/18KBFD37mOTl2FiyYh9PpwuOJ09+9Xh8Gg4GkJDVVVTVDfuZa4wqFdwx1dQ24XC4qKsYil8vZu/cAADk5dvLycofdHGuj0cDUqZPZtWuoQNf+/YdwudzI5fKE6/fEYjGSkpKYOLGCcePGoNFo8Hg87Nixi6amFmQyGc899zJKpXT+kE6XyqhRZQQCfaxZs44XXliD1WohIyMdi8VMQUHewPzqLMmD4JSUZO67726mTZsirlkg0IfL5eLSpcts376ThoamT7RNVXqvJcEYXNm4eLGGl19eS3e3l+RkDUlJSWi1WtLSdNjt2UMU1KSCcDiq1SpkMsS+p8Hflyr4FRzO7373O9TXN/CnPz1HMBgkFAoRCoXwen20tLRKLqDyUcjJsQOIAfpLL73K448/xg03zGf79p3o9Zn09fVd88t1zpwZJCWp2bNn34c2t5AVUyqVqFQqSWba2mw2GhoaRUVoiM9iveOOW5k7dxbhcLzK+sILr7Bjx66E2/dBDB4Mv3fvAXHkzAeD3uEg3AXxYN3hcIq0ud279zJ9+lTuu+9unnvuJQoK8sUKVqJtHkzjPXDgsKg5MLivSEgqCMkGKSFULGbPnsnFizVoNBqxEiM40cFgUDIF0fr6Rr797e8ydmw5Xq+XixcvieIken0GwDUV4PtrEJ53Tk42TqeT+vpGduzYxSOPrGb69Cm8//5+UlNTMZtNHD16XDI7B+Pw4WOkpqZyww3zWLJkEXDFcXrllXX09PjJz8+TbF0tFjOxWOxDbTWxWAydTodGo6Gurp5IJMySJYskDYAHn51bt77HwYNHeOyxLzNhQgV79x6gpyeM3+9HqVQmhCH1tyAajQ6bAFiATpdKc3MrWVlW7r33TgB6evy4XG46Ox1otSlEIhFyc7NJT09LWEV48P4+caKSt9/ezKhRZSxZsoiGhib6+voGfI406uuHx7gp4c6bOHE8d911O1VV1R+aglJVVY3BoCclJTnhYwRvvnkpy5YtFhPEEydWUFVVQ1NTC4WFBUydOpl169Yn1CYBeXk5rFx5K2PHlhOJROjocPCXv7yI0+li1qzpyOVyTp06w9q1bxIOS3t/JydruOuu25kxYyrbtu2kubmFjIx0cnNzsNttzJw5nWnTpvDyy5+sQOinLggWkJtr5/DhY+KFEwj0EQj04fF009IS728bLpDL5Rw6dIQFC+bj9/cOKNt24PF04/f3EgqFJDmoBHpPaqqW9vZOotGo2I8lOMdlZaXceedtPPHEM8OmJ1g4VO32bJxOl+gcVVdfYv/+Q9xxx60oFAomTZogql9ey+Bjz5793HrrMkwmIzU1tVy4cHFYiAwJKCoqoL29c8jlsmTJIubOncWePfs5duwEK1fewsqVN9Pa2jYsqv5paWnI5XJuuWU58+fPGRgCHxdUaWxsorPTIfnlPlhhedOmreJ7GBdKepvPf/4BfvrT7xMI9LF27etDfiaRNspkMjIy0vF6vaJGwnBQkrwahPVJSkri/PmqD+2jwZTJRFdfTCYjen0mjY1NH6K8xmIxDh06KnlPqLAmRUWFbNy4GYVCwf79h1iwIB5gnjlzjszM+ExOKWnbAmQyGeFwmK1bd7B16w602hSys22kpmppaGjC5XKTlKSWRDRSgNFoIBQKkZSkHmJ3LBYjJyebQCCA399LRkaG5GcSxGexyuVyuro8nDhxihMnKrn77pUcP36SQKCPrCwrwLDovx2u8Pl6ePzx/yQ5ORmDQY/dbiMvL5fcXDv5+bmkp6ejUCj45je/RnX1pYSJMwrvV0ZGOh0dnXR1eXjrrXd45JHVjBw5gpMnT5GZmYFGkyRqUkj9Tl45Pw1cunSZlpY28evCqD6z2cTjjz9GY2Mzv/71HxJmW1aWlfnz57Bu3Xo2bNjE5MkT+NKXHsHhiPu6o0aN4Prr5/Lyy9K0LM6bN4fs7CzeeusdAoEA8+bN5sEH70Uul5GRkUE0GmHx4htYv34jb7yxQRIbBZSUFDNp0gRee+1N3nlny5DvCeOn7rnnTm66aRHHjp0Qiwb/KD51QbBQKUhPT6O5uUWsDgnOkdQb/mqIRqPs2LEbg0HP7NkzRGGNnh4/nZ0OHA4HZ89eYNeu9xNmk1wup6ioQBzd1NzcKlaCBjvIFouZkpIifL5P5oX9JCA841OnzgysX3yweigU4u23N4vZ246OTtavv/ZzG3fs2EVfXx9z587isce+hMvl5tChoxw5cmxYOJpZWRZOnTojzrvT6zOZNWs6585dYO3a1/F6fWRmZnDnnbeSlqYbFkGwXC5j06atJCdrsFotWK1myspKRKo5xOck/vSnv5LQyjiuNn5i//5DRCIRKirGcuTIMc6cifcdSXE+WSxmAG66aRHTpl1HZ6eTlpZWcYSYw+H40Cw/KaHTpRIMBrHbbeh0qaJSPUh7vs+fP5tly5bQ3e3F6/XR0dFJc3MLDQ1NtLS00NHhoKvrHxf6+EehUik5ffqsqJYP8OKLa/je9/6d+++/G61WSyAQuOo89URDUNxWKhX4fD6cTveHhMWCwRC7dr0vWc9oe3sHnZ1OFiyYR319I21t7SKNcu7cWbS2tuHz+cjOzpK0r37wLFZAvLPXrn2TH/3ou9x++8288MIabDbrsDjj/xkQCARobm6hubmFQ4euzKiO9zWbKCrKT3i/qMViRqFQiGyYffsOMn/+HO677y4aGhopKMgT2V3DAePGjWHGjKmMGVNOZ2cnRUUFXLp0mb6+PtHXjEajKBSKhClZC3uluLiQaDQqsh21Wi19fX243V0olUpstixJ98q4caM5frySN998G4izZn784//mzJlzPP30cwSDIe6+eyXXXTeRvXsPSPrMx4wpp6enh5Mnr8ymH3xfX7xYw1tvvcPDDz/ImDHl7N9/6BP53E9VEJydbeORR1bT0tKKTCZDpYpTTPv7+4dl8DsYnZ0Ofv/7P2G328jMjA+vt1rNZGVZGTWqjP7+cEKDYK02hdmzZzBnzkyi0Sh33XUb06ZNprW1ncbGJhoamuju7iY720Z3t1ekpA4nCKNKBqOlpZU//vFpyspKaWhoEvvzruX7EQqF2LlzD5WVpxkzppyZM6dx002LmD9/NufOVXH48FHOnasSRxYkEsnJyWg0GtrbO8Se1AUL5pGensaf/vQXMRvX29tLcnIyLpc74TZeDR5PN2vWxGetJidrSE1NFWdbms0mcnPtn5iwwj8KlUpJZmYmRUWFA+Mqemlr6+DQoaNDHCepICjPp6amYjIZKCzMZ/TokSgUioGzE44fr+Tpp/8itakA+P29vP/+fpYtW4zZbMbhcNDR0SmyPnw+H93dvoSxLYSzo6qqBpVqBxkZ6ZhMBvLzcykvH4lSqSAcDqPRaPj1r//A8eOVCbHro6DRJLNt23tDgsnLl+t56aVXWbx4oahNIFVldTBuvPEGVqxYgk6nA6CvL4jT6aKlpYXLl+tpaWnj1KkzkjIXXC43mzZtYdWqO/jZz75PKNSP2+0mKSmJ5ORk/vKXF8XxeB+cg5tICO+pQiFn//5DIn27paWV9es3ctttK7BarRQU5Iqz4D/DRyM724bVah7QHfHh8XTj8/no7Q2IvcG1tYnrq1aplITDEWKxGK+99qbIdozFYjz//Mt873v/zv/8z3+gVqs5dy6ejBsOLUOxWIzUVC1JSUnk5Nj5+te/PDAy0ktHRycNDY0YDAbS0nRUVye2jzkvL4euri7RDyopKaaz00lvb4Dk5GSysqySza9WqVSYTEaamprFBKBwzxw7dlKklO/ff5D77rtb8vO8uLhwgOHqAa7uc3d3d9Pf349Wq/3EPvdTFQQL41FSU7V0d3u5//5V3H33SlyuLpqbmweCngba29txOFzDjvIXi8WGDLBXqVREo1F0utSEq/eFQv1s3rwNi8VMWVkpPT092O3ZlJWVDtgVIxaLolQq2b17X0Jt+1uRnJzMvHmzSE5Oxufz0d7eidvdhcPhFOXtEwFB3Mzt7mLPnn3s2bMPm83K3LmzmDChglGj7uXIkeOsXftGwkf6mM0m/H6/SIPNzMxgwYK5NDQ0cupUvIIpl8vJyrISDoclHzk0GCqVCpVKSVJSEqFQiOrqS2KmWC6XDwshJ7VazY03LuCOO24d8nWn08WZM+d4/fW36O5OfPJjMBwOJ88++yIQF5MzGo1YLGasVgtms5GCgjzc7uGR/IB4VeC993ajUCgoLy+juLiAlJQUIF7dCoX62b5954coV9cap06dEfdMUlKSmJQxGPRUVIyhomIsHo90z/pK710FU6dOpqmpZUgLxJYtO6isPE0g0Cf5OwlxmvEttyzjwoUqDh48SmZmBhaLCYvFQl5eLuPHj0OpVHL//f8itans33+IxsYmxowZTU5ONlqtlp6eHiorT3Ps2ElycrIHxLOk67MVnv/Royc4e/b8EA2IzZu3odPpmDx5AufPVw2b0TnDFTNmTOXhhx8U7xhB+NDlctPS0orP5+Pdd7d/YpTOv82maYwcOYK6unpcLjcWixm1Wk1fXx/19Y385Ce/YsGCeTgcTlEkazigsvI0DoeTn/zke2Jyxmo1YzAYyMvLoayshGg0xp49+0QR02sNIUDr7w8jl8tJSoqP7MrJyaa5uYW+vj70+kwMBr1kiWy7PRuIFwQEe7OyrMhkMjo74+xHhUJBRkY6SqVC8jPdZrOyY0eVWDC7GjtXoVCQmpr6iVaspfcCE4ja2st8//s/JS1Nh8GgJzMzA5PJhNVqxmazMXr0KJKSkpDJZGzbtnPIzNbhhMFq0AUFeZSWFrN3b2LHKgSDQdra2jlz5hyhUIgXXlhDJBIhOztrwDk2kZKSwoULFzlxojKhtv0t0Gg0rF59H1OmTKK724tWq0WtVhEMhvB4PCJV8ZVX1l1zWwaLm2m1KfT3h2ltbef11zdQXX2J+fPnMHfuLOrqGnjvvd3X3J7BCIVCdHf7mDRpPA6Hg5tvXoparWbLlis0cbVaTVaWlY6OKyq8UmePMzLSueeeO5k4cTwQw+v10d7ewenT59i37yBer1ekd0uBK/O/y7jllmXs3r2Xt956h8zMDPLz8ygtLWLatCkUFRXy3//9Q8npxsnJyUQiEYLB0JCxJQJUquF1lTidLl555TUgHnAajQbs9mxyc+2MGlWWcPEUiF/ggohYMBiktbWN1tY28fsVFWMl7bO8Mj5lHCkpKVdNAg9WBJcKg6mIAG++uVEMHpVKJSkpyaSmasnMzBzS/pBIKBQKpkyZhMPhxOfrobc38KEE9mAhuYaGJr70pW9I2jY0f/4cfD4fHR0OfD4fWm18Dnx/f5hgMMiaNevYsWMnbW0dkp/vwxkqlZJ7772T3t4AkUiEP/zhT9hsWeTl5WC3ZzN16mQ0Gk3Ck3DFxYXMmDGV6dOnEIvF6O0N4Ha76ehw0NzcQlVVNU8++cyQu0bq5yzs9dbWNp555nlOnjwlBmsajQaDQY/BoCcUCiWMCj0YJ05UMn/+bG6/fQX79x/GYjFx+vRZNBoNkydPBODixcTbBXEtl+5u7xCB3+xsGz5fDz098WJFUpIauz1b0uQrxM9DgTEhvHOD3z3hvzMzM1CrVZ9osnB4eS7XGP39YXFWqEAFEOT1dbr4YObMzAxyc3M4fXr40X0EwY+CgjwmTKjAYNBjMhmRy+UJp1EJh9Pu3XvZuPFd8esul5vTp4enGjQMdaAmTqzg1Vff4NChI2RmZqLXZw7Mb7SSl5dDWlrakJ+5FjCbTcyfPweDQS9SVVJTtRgMevr7++nrC6JWq/H7/ZL0i7W1tXPw4GFuu20FU6dORiaT8fbbmzl48IpKtUajwWw2idTx4RAEP/jgPZSWlrB+/UbC4X6ysqzY7dmsXHkz06ZN5sc//qWkKqzCGo0ZU47D4eSdd7bgdLpwOl3U1NSyfftOpkyZxOrV9zNt2pSEMhM+CJstixtvXMCoUSNJSlLT3t4htgrU1TXQ1tYuMgWkhEqlZObM6WRlWenu7ub06bM0NbXQ398vBu6HD0tHLx8cVAqiLtFolKSkJHJz7fT2Jn6Ez2BcGe1ioLGxWWR1DJ6lLeU0AgHC3ikpKR5IZl2h8YXDYZFq2toqXX9tXl4Ojz76MH19ffT0+HE4nLS3d9Da2kZbWwdudxd+v59QKCQGSwINUAqoVEoefPAeZDIZoVA/Ho9nwN522tvb6ex04nS6xEkaUiSR/lmQm5tDUpKGDRs2sWLFTZSXjxwiOnTbbStYvHhhwu+fZ555npdfXoteHxfqys3NIS8v/mf8+LGsWHEThw8f5bnnXhk2atsLFsyjuLiQ559/+UN3YF9f31UTsolETU0tmzdv45ZblotB7+zZMxgxooTS0mK2bNkhiqsmGnZ7XHn8zjtvo7a2joaGRsrLR+JwOMRKaijUj9FokFzpPScnG5lMxpw5MwcmE8THMQotTN3dXoLBIHp9JuFw+BPts/5UBcFw5QI1Gg1A/FLv6ekZMvdyOPThQVx1OR6sjScry0pWlpX09HhgFo1GuXixhn37DtLW1p7wkR+CI/TEE7/m5ZfXsmXLDmKxGMnJGkaPLkcmY2BQ/PDqBRaef2lpMR5PN8eOncDt7sLt7qK2loFecRXJyRrR+btWTp9SqeQ73/kG4XB44NKJz40MBPoGqIi9RCIRIpEIhw8fk0yxfP36jZw9e568vBwcDhdVVdWEw2FxLdPT0yguLuTIkWOA9Nljmy2LkSPLePnltbz//n4x4FCrVYwcWcYjj6xm/vw5Q5I3iYZA9SkszKe9vUOsAMnlcmQyGZFIhJaWNvr6+sRqlhTJBZVKxerV91FWVkpXl4eGhiasVjP5+XnceOMC8e+tXv2opJV1uVzOPffcyYIF8wiHw0SjMSZNmsBTTz3LjTcuYMyYcjyebg4dOsrOnXsS1uoiPDOLxUxGRjptbR14vV5isZhog/D9traOhNj0URDerc5OJ3Z7NiaTQVT9H47Iz8+lvr7hQ/OqBwftUrU0tbd38POf/xaDQU9Ojh273UZFxVhmz56BQqGgr69PDCqPHj3Ojh27JbFTQDgc4d///XtkZGSQlWUhJ8eOzZbFtGnXodOlIpPJ6O0N4PF4qK9v5IknnpHU3uEIYa8XFRUQDPZx/PhJkpLULF58A4cPH6O5uQWtVovVah4yuzyRZ3og0DcoIXhMtCEjI51JkyZw3313UVNTy7ZtOxNm08ehomIMKpUKpVIFXEm8zJ49g0WLFgAxjhw5wc6duyVrxdqwYRNbt75HeXnZQBElLsj45ptvs2HDJklsgjiLw+VyU14+kkmTJgBxhkooFOT//J+v0tDQSF9fHwUF+aJwllQIBkOcPXseg0HPnDkzRf+ory+I291FZ2cnTqeb4uLCIeypTwKfuiAYYNq0Kdx7752kp6fR39+P291Fe3sHzc2t4viUmppaSW0cNaqMz33uXrKyrPh8PTQ3t3D69FkaGhqx27MZN24ML730asJ6IK4GvT4TiFd/Y7EYCoWC22+/hUWLrgfio16+//2fDhuVwcEoLi6kra39Q0JOsVhMnHN8rWE0GjAa47L/u3fv5cKFi+KcYI1GI9ImhwNqamo/tCeEy9vhcPDccy9TWXl6yNcTjSsVoiJkMsTsphBwBAIRzp49z/nzFyguLpLERgGCc26xmAdG+cSTRYMrbXFKZ4YkmW5hLfPzcyksLKC2tg6j0cAbb7yF39+LXp+JxWJmzpyZ2GxZkgbAANnZWUyePJF33tnCtm3vUV4+kqVLb+Sxx75Eeno6NTW12O027rzzVhobm7h4MTECKsI6Ll68kOuvn0NjYzPd3d04HM4BGmIz2dk2cnLsCRU2/Djs2LGLRx99mJ///If09fXR0eGgsbGJy5frqa9voLm5VdIRbkJQnp1tQ61WM2nSeGpr6+jq8gxJLkiJ3t6AeB4KM7U1miQyM+Nso6wsKzablZEjR2A0GgFEZoAUiMViNDQ04XZ30dLSynvv7UapVJKcnDwg5GbCZrNSVFQg/ns+w1AIe72gIB+Hw4XH42HPnn3MmjWdpUtv5Mkn/4xCocBqtYozeIcDayoWi9HV5eH99/czdmw506ZNGTZBsN2ezcmTpwgErlTNFy68njvuuAW/vxePx8MttywjGOwb0qJ1rSGIawaDIbxeL+FwBK/XRzQao6WlDZfLRSDQR1pamiSCpgCvvLKONWteJyUlGb0+k+xsG0VFhRQW5mO1mikqykcul6PRJElG2RbQ0tLKj3/8S/H/rVYzeXl5FBXlU1CQT2FhARUVYwE4evTEJ/rZn7og2G7P5r777iI1VUtdXT379h2itLQIo9HAzJnTSE9fRHe3ly9+8TFJ7Zw4cTxpaTp++MOfc+nSZeRyuUiV+9zn7sXj8YjqjYk+SK8c9nn09/eLCssjR45g0aLrOXjwMCdOnOLee+9iwYK5Cemr/VshrJPVasHv9zNxYgVNTS10dXkSTkV0OJy89NKr3HDDfFasuIlJkyZQWXmKI0dOSHZw/j3o7Q2wY8cuqc0QkZeXi9PpFjPDgwUWUlJSSE9Px+VySWZfcrKGH/zgv2hoaCItTYdGo0Gvz8Tt7hriBKenpyOXy4cE84nGiBEleDweNmx4h/vuu5uFC6/nqaeepbPTQVVVNaNHjxoW/cAjRpQQDoc5ePAIbncXe/cewGw2sXDhfH7xi99SXX2JsrJSVq++nylTJiUsCBae58WL1SQnazAaDWRn2ygtLRFVodVqNVVV1ZIykAoK8igrK2X37r2cPXueX/3q90yYUIHRaMBiMTN27GimT5+CQqGgs9PBY499WzJbAXHEi9ls4qtf/SIQp0d2djpobGzm8uU6GhubJekT/CAikQhGo4FYLDaQbI/3BQvifMK+lrLirlAoiEQi3HLLcvT6DJ5++nn8fj+BQHzcizAzVqVSIpPJP/6XfUohPMfRo0dx6VItsViMjo5O3n9/P0uWLOTIkWP4fD1YLCaR2it1ADwU8T7hjIwMYHgE6Hp9Jq2tV9pt1Go1y5cvwe328Itf/JaeHj+PPPI5Zs+ewf79hxPSU79kySLmz59DSkoyGk2SyNTq7+9HJpMTi8XHNcnlct55Zwuvvvr6NbfpoxCLxfD7e/H7e2lqujKmS6FQoNOlYjIZyc/Pk7SYBlfEYYUigMDMHdy+pFKpyM21f+JtBNJ7LwmCsMCjR48kFApx+nQ9hYX51Nc3sGPHLnQ6HSaTgVWr7pDaVADOn7/AjBlTeeCBVaxbt55jx06K38vLy6W1tV2cL5fog+oK7adQHDMkk8mYOXMabncX69dvpKPDwfz5czCZTAm17a/hSt+bEaPRwMMPf46+vj68Xi8uV1wkoq2tHYfDydmz56/p2kYiEXbs2E1NzWXGji1nwoRx3HPPnTzwwD1cvlzPsWMnOX++ira2ts96sP4XiDuXClQqFTB0f2i1KZjNJo4ePS6VeQPKsH4sljgtbuHC+SxadD1+v5/29g4aG+NK9YWF+fT1BSWheV2pBOfR0+Pn9OlzbN68jQceWMXhw8eorDyN1WrGbs+mpubSX/+F1xglJcUD83evJI/0ej2tre0ifaq1tQ2v1yuJKvjBg0fEPnq5XI7VasFiMaPTpRKJxBkKUqpzzpgxjbKyUo4cOU4g0EdNTS2ZmRkEAgHWrVuPVpuCwWDAbrdJriIK8YDxySefIS0tDaPRgNlswmQyYjYbxTFzoVCI1asfldROq9XMHXfcRm5uDhAjFOrnlVde4+zZ8yiVSlJTtcNi5q4QgI8YUYLb7UYYqfzBQGg49P4PVwjrdPLkKWpr68Q7++23NzF+/Djuu+9uUQxNSM5IHWQORkpKClarWUzSSB0EW60WZDKZmLBWKBRcf/0cMjLSWbv2DZE1d/58FbfcsixhonJz5swgKUnNnj37RBsEqFQq0tJ0KJUKlEoVBw9KN/Ls4xDXIOjG4+mWnPUKV9eaEAJjiJ9P/f391NbWfeKf/akLgktLi+nsdLBhQ3zo8vXXz+XixRpRlCIpKYlLl6R/KY4fr8Tj+TX33nsXX/rSIxw+fIwdO3bR0NCExWLm+PFKwmFpLiThZbXZsnC53HR3d1NYWMD48ePYt+8gra3tmM0mjEbDkFmTwwWCTHx81mWInJxsLBYzBQX5jBpVhkKhoLc3kBA2QDgcprb2MrW1l9mwYROlpcWMGzeGsWNHc+uty7j++jnU1zfy2mtvSCr08s8A4b08ceIkM2ZM5bbblrN370Hc7i56e3sJBoNMmTKJpCS1pO+ly+Xm5z//LampKaITL1TczGYT48aNYcaMqajVavGCkoLtAXGFyaqqalQqFdu37+T66+dy223Lqaw8jUwmx2jU8+67iZt1+VHIy4v3h/b1XWkfyM/Pob6+UVQ7TU9Pw2Ixf+J0qr+GDz67aDRKa2sbHo9nYNSUlfvvX8XvfvdkQu0ajMLCfDwez5D1W7RoAW53F2+/vRmAuroGjh1L7Np9FGKxGPX1Q+dvxqsbOnFUkvAOS+XMazQaHnzwXnJy7Jw8eQqz2cTIkSPEnuWxY0czb94sfvGL30nedy2sT3p6GkePHhfHIw1et6uNLPkMH4YwTk5AMBji+edf5uabl2Iw6HnttTclFXP6KKSlpVFYWMDBg/Hqm9TPOScnG5/PJyaBTSYDixYtoLGxiX374tNQ1Go1JpNJLAglAnv27OfWW5dhMhmpqanlwoWLkraH/P+KRIkwfmqCYGExs7Nt1NbWUVNTy86d73PvvXdy4MBhKitPk5GRhslkYMuW7RJbG0dtbR0///lvmTdvFsuWLaa8fCR79x5Ap0sdInueaAhr6XS6yM/PZcSIUhYsmEtSUhIHDhwC4iNqMjMzrknm5u/FYBp3INDH++/vp739ihhNvEpoJi8vh5SU5CE/kwhEo1Gqqqqpqqpm27b3KCqKJxZmzJjK229LJ7Dwz4bTp8+xZct2li9fwrRpU/D5esR+wZycbPbvP/QhBzrR8Hq9jBw5gr6+viEXulabQlqajoyMDLKzsyQTSxL6KmUymSigAfDKK6/xzW9+lZUrbyEWi6HRaIbFHrdYTBw+fHSIM2I0Gtm9e5+YLMzIyCAzM0NUMU8U4oKB8b4snS6VCRPGUVhYQFqaDpstC0CsvkiFrCwre/bsG9ISYjabOH++SqTKSl0Zgit9sytX3kJFxRjOnbswMHqomY4OBx6PB4/HM+QZS8WUKijIo6iokGeeeY7Dh49RXj6SkpIiXC43MpmMkSNHMHLkCMkDYAFKpRKXy8X48WOprr6Ey+XG6/UO0Sv4DB8PkynORKirq6ez0yFSNy9erOEnP/mVxNZ9PLxeL5s2bRVHWkr9vAWasdCDPm/eHIxGAy+8sFW0LSlJTXZ2VkLPzx07dtHX18fcubN47LEv4XK5OXToKEeOHBsWd+H/D/ggPfpa4lMXBNtsWRw4cBiFQsGWLduZP38Ot9yyjKqqajIzM0lOThb7X4YD/H4/77yzhebmFm666UaWLVtMMBgiLU0n+SG1b98Bpk27jscfj1dM161bT11dXPAhMzMTpVKZcIfz43BlPFIRbrdbdPQFx8rv7x0Y+1Iv/oxUa9zV5eHYsZMcO3aSdeveors7serf/+x4440NbNmynVGjRmK329DrM0lJSWbXrvfZuXOPpI6n8B7ef//d1NU1UFNzid7egCjIJqgwnzp1RvyZRL6HRqOBf/mXz/HKK6/x4otraG5uFT//7NnzvPPOFpYvX0IwGOT48UrJqxo6XSoqlYoFC+YxalQZbW3teL0+tNoU+vr6hjhMQML6nxQKBRMmjGPSpAmYzSZycuxoNEmEw2GUSiUeTzdbtmzn5MnTkrKPVCoVOl0q7e0d4pmYlqYjPT2NlpbWISrWUkPYt9FoFJVKxfTpU0lL0yGXywmFQrhcbhoamujo6GTHjl2iXoUUGDGiBL/fL84GLi8ficfTTXd3N0lJSZhMRtFpllIUS0A4HOattzbx6KMP89WvPorX20Nnp4OOjg46Ox0DAqKdNDRIm0AcjhDO9Ouum8jdd6/E7+8lFArh8Xjo6HDQ2tpGQ0MjbW3tdHQ4hoV42wfR1eVh7do3hsU+B7hw4SLd3V6+/vUvU1fXwMiRIzh48DBHjlxpZUpJScFkMg4Z2XitEQqF2LlzD5WVp8XWi5tuWsT8+bM5d66Kw4ePcu5c1T+VrouUEPZORkY6kUgEn6/nI+nR8MnfQ5+aIBjiTkll5WkuXLgoHkIvvPAKjz/+GKtX30dmZgY9PX7Js/JXQ2XlGc6cOc/NNy9l8eKF3H//Kmy2LLZv3/khheNEob6+kW9/+7uMHVuO1+vl4sVLxGIx5HI5en0GgKROyEdBGJYjbQoAAECaSURBVPUj0CSldj7+GqScH/nPhKspNno8HkKh0EBlw0U0GiM1NVXSC0p439RqFefPV4m9Y8IhL0AqZ6SkpIjS0mIg3pYxGNFolPXrN9LZ6SA9PU3y0S4QD+IOHz5GcnIyRmN8BqZKpSYcjnDvvXdy00034nK5SE9PF2nxicADD6xi4sTxuN1d+Hw+Dhw4xMWLNZw7V8WXv/wITqeLl15amxBbPg52ezYw9KwWWkYcDukE5D4OmzdvZc+efSJrwmjUYzabRMrx1KmTOXLkuKT3j9FowOFwinTO3Fw7bW0dBAJ9ZGSkY7NZOXnytGT2XQ2nT5/lt799gjFjRpGfn0deXg5jx5aL3z927CS//vUfJLRweOJKu10JLpebkydPD6hqGxgxooRx48aQlKSmp8fPxYs1vP76W5InD6+G4RIAQ3y6yNNPP8/y5UswmQzs23eQdevW4/F0i+sdb30wJ7RwJVQp3e4u9uzZx549+7DZrMydO4sJEyoYNepejhw5ztq1b0g2tumfEXffvZIZM6bS0+Ons9NBfX0DtbV14kSCa5U4+tQEwampWsaNG8PFizVDnKCzZ8/zxBPPcNNNN6JQyNm0aauEVn40hNmhb7yxgf37D3L77bewdOmNeL0+Nm9OnM3C4WMyGdHrM4f0ZwiIxWIcOnRUzIAPFwjBh91uIyUlhX/914doamqmpaWVtrZ2uro89PT4CYVCwz4w/gxD8dcUGwEUivgMXqkVGyFOvY/FYiQlqRNG+/lbUVxcNITK90EEg0F27tzDN7/5VYqLC/nZz36TYAuHwu3uEvtpdTodZrMRq9Uy8MeM0WjEYrFgNhs5ffpcwuwqKSmmv7+fdevWc/r02SHfy8zM4NKlyyiVSsm0HQQUFRXQ3e0d0mKTnW3D5+sZMr96OL2jgUAfgUCfOCEB4knulJRkli5dzJIlCyULMoQ16uryUFExlry8HM6ePU92to2jR08QiUTQ6zNJTU0VtQmGy7pGIhHOnDnHmTNX9olSqSQ720Z5eZlkCffhDuH55eXlcPjwMV555TUgPgnAYDBgNOr5l39ZjcfjYdy40fT39/OXv7z0WS/pX0Ft7WX+9Ke/oNWmDBm1Kax3f3+Yy5frqa1NnC7F4HNQq02hvz9Ma2s7r7++gerqS8yfP4e5c2dRV9fAe+/tTphd/6wQ1vL48ZP09PjFxMaUKZOYP38OEPfdo9EYP/rRzz/xyQ6fiiA4Ly+HO+64lfLykQSDIaZOvY7nn38Zt7uLhQuvJzlZw4ULF9m//+CwokIPxuBLsr29k2effYHW1jbJ6Mbz589m2bIlA4qsPjo6OmlubqGhoYmWlhY6Ohx0dZ2XxLaPQzwI2orFEqcnzpw5DZ0uFblcTiAQwOFw4nS6+O1vn5TcOf0Mfzv+FsVGhSKuGD0cFBvD4QgnTpzixhsXoNFocLncOJ3x2ZJerw+/v3cIlTeRKCjIo729k97ejx5FkJVlxWIxc/jwsQRa9tEQEglxIRXfkN6sODMlE5st6xMfr/BxePnltaxefR+33baCzMwMTp48hdfrQ6dLxWDQ09zcMizOGLs9m/T0NO688zZqa+toaGikvHwkDodDdDyHW1Jw8KzaaDQqzgf2+3vRalPw+XokX9vdu/cyd+4sHnzwXk6fPovJZCQQCJCdbWPFipsGlFmHVxA8adIEKirG0NsboL29g8rK07jdXTQ0NH5Gg/4YCM/PYNDjdrvFPvpAoI/m5haam1tQq9Vs3Pgu6elpot/5WRD81+H3+/H7/Vf9XmNjE3/4w58SplhvNpuYP38OBoOecDiMRqMhNVWLwaCnv7+fvr4garUav99PW9tnQqb/Gxw5cpwjR46L7TmZmRkYDHr0ej0VFWMYPXqUKNj3SeJTEQTPmzcHmy2LjRvfJRDoY+7cmTz44L0oFHIyMzMIhfrR6VLp6ekZtkHwB9HbG+DNN99O+OcKh31VVQ0q1Q6R8pOfn0t5+Uhx9qVGo+HXv/7Dh+iUUiMWi7F581bUajVyuZzUVK2YebJaLWRn29BqtZI7UJ/hf4d/NsXGYDDI1q07MJtN3HDDfNRqFdFoVKQC+Xw+Dh06yv79hxJu2xWRpI+mDaematHrM7l0SXplaLi6iq3w9Wg0itPpGlI1TATOnj3Pk0/+meXLl/C5z91LRcUYXnttPRAP4hwOZ0Lt+SiEQkFcLjfl5SOZNGkCELcvFAryzW9+jebmZpqaWujsdFBbWzcszsaPosZlZKRjsZjFKrCUvbYul5uf/vTX3HrrMiZPnoDf38ttt61gxYqlRKNRnnjiaTye4aP1sGzZEpYvX0Jvb6+YOHz22RfZuXMP+fm5TJo0gXfe2TJEPO0zXIHJZCQcDtPV5RnyfspkMmy2LDSaJHp7A6SmppKRkT4sRmP9s6O/v/9DSe9rBaVSyXe+8w3C4fBAUC4jJSWZQKCPpqYWent7iUQiRCIRDh8+xoULFxNi1/8vEBLZ/f39uN1duN1dYjI7OVlDefnIa8Lu+VQEwePGjeb48UreeGMDAIcOHeHHP/5vzpw5x9NPP0co1M+qVSuZOnUy+/cfGkK7GA4YDqqcH8SpU2dE4Z6kpCQMBj0WixmDIZ61qagYi8czPIUB4hnawEBmvg+ns5aqqmpkMhk6XeqHejM/w/DHP5tio0wmo66uge9978eo1Wqys23Y7TZycrKx2+2MHTtaFJlLpCOvVCpRqVR4PJ6P/cyMjAxUKhX19Q0Jset/g486K6U4R6urL/GnP/2FG26Yz403LmD06HLcbjcdHZ20tLQl1JaPwiuvrGPNmtdJSYkrWGdn2ygqKqSwMB+r1UxRUT5yuZzk5GT+7//974QJi30QQnXt/vtXUVSUz9mzF6ivj1cohTvbYNBjt2eze/f7ktgIcUGs6dOnIJfLOXv2PM888wLp6WkUFOQB8QS2w+EcVtojGRnpLFgwl/37D7F581YKCvL5whc+L05PKCkp5uabl/L6629Ja+gwRlJSEl1dHkaOLBPFmwTqbH5+LoFAgK4uD6NHjxJ1ID7DX0cilYI/DsIow0uXLrN7914uXLgoBuAajYZYLJYwvYn/HyE8W5lMhlweb10Lh8MkJydjtVqumb7D//dBsEqlwmQy0tTULAY3QqXy2LGTYiVj794D3Hff3ZK/xFqtFqVSgdfrE1+Kq218qWf2KRQKkYYWDAZpbW2jtfWKU1dRMXZYCj8ALFmykFmzZpCSkkxvb4COjk6qqy+xd+8BvN7EDFz/DJ8s/tkUG2OxGOnpaWi1Kbhc7g+pkkM8IIXEUlF1ulS6u7vJyrJ+5NmiUCiwWs1ixvYzfDy8Xh9vvLGBQ4eOct99dzF69CgCgQATJ1awZ8++YZHgjMVi+P29+P29NDW1cOhQfFZofPZuKiaTkfz8PEkDd6G6lpKSjNlsYvHiHNRqFRDf/06ne0DcskdkICV6bSdMGMe9996F2WwiEOhjzpyZrFu3nra2Dm66aREGg35AGGlDQu36KAjBRWFhAampqRw4EC8C5OfnEolEcLncyOVysrKsw1LkcjihtbWNo0dPcMMN80hL01FXVy++kzfcMI8LF6pxudxkZ9uGVQJkOCI724bL5RZbgq6mFCz4wIm6Hx0OJy+99Co33DCfFStuYtKkCVRWnuLIkRPDxq/4Z4Nw/hiNhgEhRqfY2iIgKUk9hN3zSeP/+yBYUL70eLrFjSQoX3Z2xuloCoWCjIx0lEpFwnoLPgrLly9Bo0mioaEJu91GY2Mzbrcbt9tDd3c3PT1+yTNiwIfoPkK1KikpidxcO729vcOKNiVsthUrlrJ48Q2cP1+Fz+cjJ8fOyJGlTJo0nhtumMdvfvNHyWfIfob/Pf7ZFBuLigq57bYVFBTkodWmEAj08bvfPcnZs+fRarViNTbR6O72cu7cBebNm0119SUuXbpMd7d3yF7WaJKoqBg7LFpHhH09alQZCxdez0svvfqRtGcpz0yZTEZLSys//vEvmTp1MitX3sK9996JwaBn48Z3CYVCktn2cYhEIng83QP9q9KNcYL4vd3W1s6TT/4ZtVqN0ajHZoszKLKzs9Dp4oHHwYOHxXcz0c989uwZeL0+fvObJ+jq8rB48QIWLrweuVxOe3sHZ89eYPLkCUQiUf70p78Mm5aN/Pxc3G43PT3xs7G0tBi3243P5yMpKYn/196dh7ddX4n+f2uxJVm2ZFvW6t2Os+EsOAsJISEhYSdhCRDKOnTocHv7a6d3ZtrOlJlfl7lz27m3t7ctty1dKEtZGvaEACEJWQhZCIEsOCZxvC9abUuWbMuWJfn+oUjE7FBiycl5PU8eeCTHOY9s6fs9n8/nnONw2DJ2UTtTxONxtmx5Da1Ww8KF81iwoA6FQkE8Huf48Uaef34jCkWiMefevenvS5HJfvKTH6JUKgkE+nG53LS3d9LSkugU7HS603IPHIvF2LZtJydPtjB79nnU1c3httvWcdddt9HS0sbBg4doaDiOy+WSnf7P6ZZbbuSCC+bT3e2kr8+P0+miq8tJc3MLU6fW4HDY2Ljx5TPyb5/1SfAndb5MfuBrNNmUlBRnxPHd4eFhhobCLFhQx6xZidEEyRsRn68Hr9eH2+0hFBrgyJF3J3QnJnnDabVayM834nJ5CAaD41Zuks+7XJ4Ji+uzSH5gLlt2IQcOHOTRR58cV9vmcNj53vf+GxdffBGdneszco6f+HiTqWOj0Wjg9tvXkZ9vZPv2XVitFhYtWpBa0V64cB6XXnoJ3//+Dyc8tng8zquvvsa0aTV8/ev30NLSdmq2pZdAoB+lUsH8+XUUFzt47LG/THh8H5T8mc+aNZPS0mLU6kTDpNNPymg0Gi64YD59fX7q69PTrO/0G7YDB97G5+th1aoVXH/9ag4fPpqRR/YzicNh43/+z/9OLBbD5+ultbWNkyebaWpq5tix9zImmZw6tYbXXttJR0cnY2NjvPDCJi699BK2bt3Bs89uIBqNcuON17F06YUUFhbQ3Z0ZcavVasbGxlJ9AEpKiunuTtzMJzusZ0JDwUymUCjo7e3joYce46GHHsNiMZOXl0durp7W1jaCwRD5+fkcPPgOb7319qd/w3OUSqXiiSeexmazsmrVclQqJRUVZVxxxarU1/T09NLW1kFrazsbN740YQlxNBqlubmF5uYWNmx4ialTpzBnzixmz67lhhtWs3LlxbS1dfDUU8/idEpjrE+T/Lk1NjahVCoxGg3YbFaqq6vIylKjUCjIykqMkjx48NAZieGsT4I/S+fLSGSUoiITHR3pqXU63fPPvwjAhg2Jm+Xy8jKqqiqoqqqgtLSEqVOnoFQmRr78j//xs7QkwVdeeRkrV15MR0cX/f2J5Nzj8dHV1UVxsYPS0hJ27EhfTdbHMRoNWK0WnnrqeaLRaOp1jMfjOJ0u9u9/i3nz5qZ9l118PpOlY+PpsyTtdhu/+tVvaWg4zrJlS5g1ayY+Xw8qlYrq6kr0+pxxf2cidXc7+dWvHmD58qXMnDmN88+fTU5OTur5/v4gTz31XFqadn1QXl4uodAA1dVVuN2e1Fzb01+zgoJ81qy5mj179qUtCT5dPB6nubmVlpY2Dh06krYa28lkZCTCxo0vk5urx263UVNTzeLFC8c973Q68Xh8HDp0JC2/mzk5OgyGPLxeX+r3T6fLITs7m+bmltSia3e3C71eT39/+ptiJeM8dOgIl1++ijvvvJWdO1+npKQ4tVtZUzOFnBwdx483pjPUjDc2NkZt7czUqQ+v1/eh/jKBQIDHH39KFtk/QSwWY/PmrUybVsMllyzj0Uf/gtfrxWKxYDabMJsTI/Dmzz+f+fPPZ8OGTWmJM7nDf/x4I1u2vEZ1dSXnnz+HJUsWsXHjS2mJabLasuU1tmx5DaVSSX6+EYvFjM1mxWg00NPTy+HDR8/YZIezPgn+pM6X3/nOt2lv72B4eJjKyoq0dFs+nUKhoKqqgp6eXkKhAfr7gxw9Wv+hGZM2m4WamikTfhwxuVN14kQjOp2WoiITxcUOpk6tSXWFzs7O5vjxxlRNWSZIJhKlpSWMjo6mbj5O3z1MjtzIysrKuHEg4uNNpo6N7yfBU/D7A6mZm1VVFfT1BQiFBtBqtVitltQ4knQ1xevudvL44+vJzs4mP9+IyVSIXq9HqVTQ1eUcV/+fTrNn13LRRYuZOnUKnZ1drFx5MU6nm0Cgn/7+fkKhAXS6RMOnTEs2x8bGUg10xCfr7e3jqaeeQ6FQkJurR6PRcPvtt1BWVsLbbx8mP9+AxWJm4cJ5xGIx9uzZP+GdocvKSonH4+O6fpeVJcqxkovVKpUKi8XM2NjYGRn38UWdPNnM+vXPsnbtGmbPriU7O4s5c2qx2SzMnTub3bv3ZUwn+EyUl5fLtddew9KlF6LTaVEqlYyOjuLz9dLe3k5LSxuNjU00N7dKAvwpkg3wamqqCQZDNDe3pDrTJ5nNRfzt395JVlZWGiN9n98f4ODBQxw8eIinn34hIxa4JhOFQoFWq2V4eJj+/iB9ff4JW3Q765Pgz9r5UqvVcOJEelc6S0qK+bd/+2eamprp7e1LzQ7t6emlr89PIBBgYGAQt9uL2z0xbeE/yr59B9i37wCQ6Fxrs1mxWi3k5eUSi8Wor29Ie231RykoyB9X23h6cpGTk4PDYUvdwKRztIb47CZTx8bTZ0kmErREE7bS0hKcTheRSASLpQir1ZI6sp3uUwmRSOQjdzQyxcDAIAqFArVaTWVlBZWVFacWuoL09ia6MJeWFhOPx2hulpv4yS4xC3qAUGiAvLxcTpw4yRNPPAWA0ZhYrEm+ryb687uiopyRkZFx15iioiL8/gA9PYkFL61WQ0mJI1W3nkmTH3bs2EVHRyczZkyjurqSkpJiHA4HL7+8hRdffDljPkczSfLnV1t7HkuWLOLNN9+iqakFq9WCxVKExWJm+vRpLF58Aa2t7fzbv/17Rv3MM1HytamqqsTr9TE6OgqMb8Y6OjqKwZCX9j4FHyUdvTwmM40mm/nz61iz5iocDnuq9LOpqZk33zxIS0vbGX2/nPVJMHz2zpfp3ilQKBS8+2495eVlTJ8+NfX48PAI/f399PT04vF4CYUGaG5u5Z13DqclxtN/IZNHiQOBwKlZuzbuvPNW7r//gQmP7eMk4+3o6CISGeWWW27khRc20dPTSzAYJBgMUVLioKKiPCOPcYuPN5k6NiZ/DxM7lsupqCinsbEJu93G0aP1xONxioqKyMnRZeTFPRMdOfIura1t/PrXP+ePf3wEv9/PlCnVVFSUU1LioLy8lN7ePh588M8ZuTAnvhiVSoXDYU+dkhobGyMQCKT1BtThsKHT6fjWt76eau5SXV1FOBzGaDQQDAaJx+OnTiWk96THRxkdjaaOdyYla/IytXFbuiV/fnPm1OLxeFm//tnUsU2VSkVurj41u1omT3w2yfeD0WhI7QzC+GasBQUFmM1FbN68LS0xir9e8r2zdOkS1q1bS3t7By+8sAmDIQ+bzcrFF1/EypUr+NOfHj2j5S3nRBL8cTKp8yVAR0cn//t/388dd3yFGTOm8eijT5CTk0NNTTWVleXY7TamTatBrVbz8stb0pIEj42NpY4X5uXlUlc3h6qqSgyGPBwOO0DGtv9vb+/gL395lltvvYlvfeu/0N8fxOfrIR6PM3VqDd3d3amGFZlyYyI+2WTs2PjGG/tYtGgB9977VU6ebCYvLxedTsecObNYs+YqnE53alyS/B5+umg0yo9+9BM6O7sZGRnh6NFjqecSs7/zMm5BRPx1DIY88vJy6e52jnuPpDOp3L17L/39QcrLy7DZLDgcdrKzs1CpVHz/+/9Ef3+QUCjEtGk1qZu6THh/q9VqFi6cx6JFCwDo6nLS1NRCe3sHvb19kgB/guTPr6KibNwYToVCQSwWo78/SH9/cNwGSyb8zDNZ8vVpamrh8stXcvHFF3Hs2HsMDg4yPDxCLBajsrIctVpNU1P679vFX2fJkkU0N7fw29/+kf7+IBqNBp1Oi9Fo4M47b+Waa66kubnljJ1+PaeT4EyjVquJRqNMm1aDy+Xm5MlmYrHYuGS3srKcf/3X7034fE6VSkVd3Rzmz6/DYjFTWlqCVqshGo2iVqsJBPrZvHkrhw4dzegPpn373qSrq5u5c2dTU1ONzWZhbGyMHTteZ/v2XakxEHKhmjwmW8dGn6+HP//5L6xefSWzZp2HQqHgmmuu4IorLqWvr48HH3yUcDhzxotluqGhME1NLamZ8KOjUUZGholERonFYpIAn4VKSoqJx+OpuvqkdH5unzzZnFpMVygUH1mClZ9vBODEiZNpjze5YHD99au57LKV9PcHUSoVzJ5dm5pRPjw8zOjoKPff/zsaGo6nLdZMlfz5mc1mdu7cnarzHhsbS42OTJJa4M/nxRdfprS0hLvvvh2n043L5aanpxetVsOiRQt5991jGXE9F19M8vOnpKSYzZu3pt47IyMjjIyMEAj0s3Xrdu6++3ayszVnLA5JgjNIsnuk1Wrh8OGjqVXFZNOmWCyGVqslK0tNS8vEjtS4665bmTfvfPr6/IRCIfbu3c+JEyc5duw43/zmvfT09PLYY+snNKbPqqjIxHnnzcBgMODxeDhy5F1efHH8zLFkMwYxuU2Wjo319Q3U1zegVqux262YzUXo9XpaW9sz9iRFpiosLOC229ZRXV1JNBrD7/fT3e3C7XbjdnsJh8N0dHTKwsIkZTYXodVqcbvdjI5GU4+dXmubvFZCZixgfloJViCQ/sY5ydfpoosWs3fvfl588RXUajVFRSZMpkIsFjNFRSamTKk61XRQfJS8vFw0mmymTKnm/PN9uFxufL6eVENG8cUMDAzypz89Sl3dHGbOnE5ZWQlz585ieHiEPXv2s2nTK+kOUfwVkj0bdDotTqebWCyGQqEYN94wKysLvV6Pz3fmepJIEpxhkknuwMBAKik+/YO0qMiEUqmko6Pr477FGVFTM4XR0VGefvr5D3WrLijIp6mpJbWTnUkcDht33PEVZs06L7Vr/d57J3j00SdTx5dOn3Mszh6Z1LEx+XtWU1PNkiWLcbs97NjxOiMjI3R2dtPZmUh8lUqlNGX7nO655y5mz64lHo+zffvrOBw26urmYDAsBcaIx8e4774fEQ7LrsFktHr1lVxyycW43V76+/vp6upmypTqVK1tKBTKiMT3s0iWYGUKvT4xSu7kyeZUsy6325N6PpOS9kyVGM0XY9asmdTVzWF0NMrAwAC9vX04nW7cbjdNTS3SXfsL6OnpZcuW7WzZsj11Dc3J0RGPj41rQCcmF4fDztKli4lGY8TjceLxxP336RNbIDH+MhwOn9EFbEmCM4xGk43T6WL+/Dp27dpDOPx+HWN2djbl5aX4/YEJ/wB4/PH1fPWrd7B27bUUFORz6NARgsEQeXm5mEyFdHV1Z1wCDLBkyWJsNiu//vUfOHr0XZYsWczNN99AXd0cOju7Um+4urq56PU57N69N80RizMhUzo2Xn/9amprZ6JUKhkYGOCNN/alLu5Wq4UVK5axZ8++VFIsPplOp2PGjGns3fsmixcvpLm5hUceeZz8fCN5eXksX76Uyy67BL8/kO5QxRf0wVrbBQvmpWpt77vvOwSDQTweH8FgkI0bX87YTuaZyGIpIh6Pp8qr1Gp16kY0Ho9nXNKeibq6nPz4xz/BZDJht1uxWq2YzSYKCvIpLnZgNBo4ePAdfvGL32RUI7RMd8klF3PhhRcQjUbx+XrYsydx+jBTenuIL27mzGmsXn0Vo6OjKJVK1q1by8UXL6Wvrw+324PT6WJgYJDy8rJxi3JngiTBGaa/P8iWLdu55567+MlPfkhbWzutrR04nS4qKspYunRJajzRRKqvb+CBBx5kzZqruPvu25k7dxZPPfU8kFgtPn02YiaprZ1JY2MThw8fJRwOs3Xrdq64YlWq5ik3V88111zJNddcwfr1zwKZ1bFTnB2Sv0/Tp09j69YdmEyFrFu3lnffPZbqfmm3W7nmmitSzdnEx0u+R8vLS1Eqlezf/xYKhYLrrruGgwffwe8P0N8fZGgocSRVdg0mr89Sa5vc/ZdusZ/N9OlTMRjymDq1hlBoILUL/MGF7NOPJorxCgsL8PsDRKNRWlraaGlpG/d8QUE+ZnMR5eVlGTNXfbJYu/ZaLr98JU6nm7GxMVasWEYg0M/x442Ul5dy3XXXsH79s2kdFSq+uDfe2I/T6cZms1JWVnJqHJuNqVOrUydKw+FhCgry2bx56xmNRZLgDLRz527cbg8rViyjsrKC2tqZZGdnA7B9++s888zzaYmrsbGJ3//+IS699BKuuGIVtbXn0deXmMXZ3Z2ZH/LFxQ6OHq0f1+FSq9USj8eZP7+Or3zlRqxWC88+u4Ht2xPjkeSCL84EgyGP7OwsGhreo7vbyX/8xw+54opLU4svRqORsbExOjrSO6ptMqmqqmRgYJCOjk4GBgb453/+R6655kqefvp5dDotxcX21NxoMflNhlrbyeCiixazfPlSIpEISqWSv//7r9PR0YXb7aGzswun04XX2yNlGZ/gX//1u7z00qtMn15DJBKlvb2D7m4nTqcLvz+Q+tPY2JT6O3Jv8ekUCgXLli3h9df3sHHjy+j1en7ykx+lFhJsNhsLFszj8cefSnOk4osaHh6moeH4h5rtWSxmiosdVFSUYbNZmTp1Cu+9d+KMxiJJcIbRarVEIhGOH2+ksbEpdaxPrVbj8XgIh4fTWr8aDIZ49tkN7N//FnfccQu1tTMJh8PMmzeXXbveyKgP+ZwcHVqtBq/Xl3rNCgsL0OtzuOCCBaxdey3Nza384hc/pLNzYmusxbnj/V3LMuLxOAMDg7jdXrZt28GqVSvYseN1enp6KS62MzAwmGr+Iz5e8jWdPr0Gn6+HaDRGY2MTb731NsuXL2XPnv0MDQ1hs9k4ebLp07+hmNTk2O7ns2vXG3R1OSkszMdut2EyFVJbO5MFC+pQKpWMjkbp7w8SjUb5/e//RFtbR7pDzjhHj9bT1+envLwMg8GQGjEViYzQ3x+kp6eXri4nXq+PXbvekL4jn1FxsQOTqZD6+gaCwRBmcxFqtQqvN3Ha0Gw2EYlEUqcXxOSUbIKlUCiIx+OMjY3h9frwen0cOnRkwuKQJDjD3HPPXafOxXvx+Xro7e2lt7eX4eGRjKm5VSgUdHc7+elPf86iRQu46abruf32dZhMhbz44isZM1ewvLyMaDQ27ihSfn4+KpUKvT6Hp59+gQ0bNqUxQnEuSCZs1dWV9PT0EgoNALB9+y6WLbuQNWuu4uGHH8dms6V+V6U51idLvjYajeZU5+dEndgLL2xi7tzZ3HTT9XR3O7HZLGzc+PInfSshzjmnHzGHRIfWoiITVqsVu92KzWbDZCqgvLxMuqp/hOzsbDZseAm/P0BraztFRYXY7TZstkSnf7O5CIfDzowZ00817NuV7pAzXvI6WVpafGqmdqIjeXV1FQMDgwQCAdRqNcXFjgkfESrOjI+6x7HbbdjtVgoKCjjvvBn86le/PaMxSBKcQfR6PbNmzUSj0aJWq4jH46fqdXpwu7243R78/gA7d+5Oa5yn7/YeOPA2Pl8Pq1at4PrrV3P48FGamyd2fNPHqagoQ6lUUFhYSHt7Z2qe7M9+9ks6O7tTMyal7kmcScnfq5kzpzM8PJyah+fxeNm8+TWuueYKnE43druVo0ePpTPUSeeRRx5naGiYSCSCQqHA5XLz9NPPc9NN17FgQR319Q00NLyX7jCFyDj5+fncdtvNbNjwEl1d3eO61CfpdLpxzTlFwvLlS7nzzq9w330/or29k0AgkOr+bLVaKC52pLqWm83mNEc7OSSvk8lkWKfTAlBcbMfr9eH3BzAaDVitloy5xxRfXOJnnOjvkJeXS13dHCorK8jNzaW0tBhgQsZFShKcQQYHB7n33r8nN1eP1WqltLSYqqoKSkqKmT37PJYsWUR7e0fak+DTxeNxmptbaWlp49ChI7S3Z049o8ViRqlUcs89dzE8PEwg0E9Xl5Pm5hbGxhK7SG63R3bcxBmVvLj/+c9PkpWVxcBAYidYqVTy8subWbx4IbfeehOxWIxjxxrG/R3xyZzOD4892rZtB83NLWg0Gjo7u2XGqRCnef9kSgWLFy9ky5bXgERdNSSOlqvVaqZPn4pWq+HgwUPpDDcjORx22ts7UguakOj5cPPNN7B8+VKi0Rher4+HH36MffveTGOkk099fQODg4P81//6NV55ZQu1tTPp7nahUCiorZ2J2VwkO+uTmEqloq5uDvPn12GxmCktLUGr1aRGmAYC/WzevJVDh47S1NT86d/wryRJcAYaGBhkYKCF5uaWVMJbVGTiH/7hmwSDoTRH99HGxsY4cCCzutru2bMfj8d36piXGZOpkLlzZ7F48UIARkdH6e8PEovF+OMfH5bVRXFGfXCXJTEfL87PfvZLrrvuGgwGQ6qJiiTBn06hUDBjxjSuvfZqiosd+P1+Dh06yquvvkZra3u6wxMiI2k0GoaHh5k+fRoejzd1T3F6zapGo+Gqqy5jdDQqSfBHqK6uxO32jhvXc9VVl7N8+VJ27drDwYPvcNNN17Nu3Q38n//zm4wZ0TcZBIMhfvObP3LnnV9hzZqr0em05OXl8p//+WNsNivbtu3k8OGj6Q5TfEF33XUr8+adT1+fn1AoxN69idFXx44d55vfvJeenl4ee2z9hMUjSXAGUygUKJVKYrEYeXm5GI0G3nnncLrDmjQ+OKBep9NRVFSI1WpJ1e+YTIWUl5dK3ZOYUEajAYVCSU1NFTNmTKeyshxQjNtZEB8tuZM1Z04td955K/F4nMOHj7Jo0UI0Gg2vvbYTnU7Lbbeto78/yNNPp6ebvhCZaNq0Gi69dAVTplQzODjIrFnnkZ9vZGBgkKGhIQKBfvLzjdhs1oxb2M4UdruVI0feTfU/KSwsYOnSCzl27D3Wr3+GYDBEQUE+69bdQH6+QZLgz0Gr1dLe3sH99/+OiopSKisrKClxkJWVzebNW9m37wCDg0PpDlN8QTU1UxgdHeXpp5/n6NH6cc8VFOTT1NSSGpM0ESQJziBZWVlEo9HULtDY2FhqddZgMGA0Gmhpkd3KzypZ6wuJ1zIcDn9k3ZPRaEjNahXiy5ZczCorK+W886ZjsZiprq6kvLyMsbExFAoFHR1dHD/emPp62Qn+eMnXZ9myi+jt7eOhh/58qqbadqqhygCFhQXU1s5My0x1ITKZ3x/A4/Exd+5sdDotf/M3txGNxggGg/h8PXR2dmOxmMnPN1Jf35DucDOOTqdDq9XidnuIxWIoFApWrVqB0Wjg979/KLWzPjQ0hE6nS/UeER/v9AkKN9ywhieffAq328vhwwEOH3433eGJL9Hjj6/nq1+9g7Vrr6WgIJ9Dh44QDIbIy8vFZCqkq6t7QpsASxKcIRQKBXfddStOpxuPJ9EAKxQaIBwOEw4PU1ZWQjwep6VFjvl9Vh+XSHywEZYkwOJMcThsrFhxMUuWLMJgyCMejxMMhnC53IyMROjo6OTZZzfQ3t5JKJS4eZIE+JMlX58pU6o4cOAgPl9iVEZRkYkTJ04Sj8cxGo3k5xvHdcAVQkBHRyd//vOTLFw4j61bt9PY2ITDYaesrASHw87cubPQ63N45pkNqYU58T6Lxczg4Puj7AoK8lm1ajnt7R0cOZJI2JRKJXa7jWg0mpoGID5dbe0MamqqUakSqYlanfhvNBpFo8lmwYJ5jI5GefPNt9IZpvgr1Nc38MADD7JmzVXcffftzJ07i6eeSpzWUqlU+Hw9ExqPJMEZoqAgnwsuWIBSqUSjyWZ4eAS/34/H42NoaIi5c2fR1NQix2q+BJJkiIly9913UF1dxc6dr3PiRBPDw8P09PTS3e3ku9/9NuHwsOy2fE7J3XONRkNfn5/R0VEMBgMFBfl0dzuBxPFEtVpNW5ssGgrxQdnZ2Tz00GO0trbh9wdSya5KpSIrK4vh4WE5kfIxIpEI/f0h5s8/H5/Px3XXXUN2djabN29LfU12djZ2uw2PxwfI6Z5Po9fnEA4PM21aDR6Pl/7+xMzv03cE9Xo9V155KQ0NJyQJnuQaG5v4/e8f4tJLL+GKK1ZRW3sefX19eDxeurtdn/4NvkSSBGcIvz/A9773b+j1OakZc6WlJdhsFkpKHDQ0nOCJJ55Kd5hCiM8hEAjQ29vLiRNN4y7cyePRO3a8jkqlGteURny63Fw9breHsrJSAAoKjCiVSjo6ugAoKXEwODgo8ySF+AiRSISjR+spKyth+vSpxONjeDwe2ts7GR5O9MeQpO2juVxu9u17k7Vrr2XRogUoFAo2bnx5XOmFVqvFYjHT2toGSBL8aebMmcWqVSsoLy/D6/WybNkSnE43wWCQYDBEX5+fgoJ8zOYiurq2pztc8SUIBkM8++wG9u9/izvuuIXa2pmEw2HmzZvLrl1vTNj7RZLgDDE2NkZfn5++Pj+dnd28886RdId01tBqtSgUiaM1kUiESGRULkhiQjz55DN84xt/xze+8TVWrFjKpk2bqa9vIDs7G4Mhj+5upyTAX8DAwCAHD77DunVrUavVKBSJx4xGA3r9VOrq5tDQcDzdYQqRUZLJmN1u47bbbmbu3NmpkxXbtu1k/fpnGB2NUlpaQiAQwO8PpDvkjPT88y9SX99AeXkpPl8vx483Eo1GU6+v0WhIlWuALCh8Grfbi9fro6amGofDzq233kw8HicUGqCnpxeXK9HzQalUceKEHNE/WygUCrq7nfz0pz9n0aIF3HTT9dx++zpMpkJefPGVVOO5M0mS4AxSWlqM1WpFp9PS399/qi54kJGRYele/AXNmDGNu+66FZvNxvDwMF6vj+5uJ52d3XR1deP3B+jq6paLlDgj+vr8/Pu//yfLly9l7dpr+cY3vsZLL72K1+tDoVBI05QvIHmjuWnTZnJycli58mJycnIA+PrX70GjycbpdLNhw0tpjlSIzLRmzVU4HHYeeOBBGhub+MEP/iVVhuVw2Pne9/4bzzzzPNu27Ux3qBnr5MnmD/UcSN5H+Hw+Hn748dQoH7m/+GTNzS389rctzJ07i8ceW09HRxcVFWWUl5dRXl7KrFnnEYvFePDBR3C7vekOV3xJTn9fHDjwNj5fD6tWreD661dz+PDRCRlbKklwhli2bAn33HMXSqUSSMwQDQT6U/WDwWCIV17ZIiNUPofCwgLuvferFBWZcLnc7N//FlOmVDFlShULFtSh1WoZHBzk3nv/Pt2hirPcrl1v0NbWztVXX87NN9+AUqk81QRPasY+j+TrNHv2eXR1OVm//llefPFlSkqKqaqqpKysBJ+vh92799LT05vucIXIKMnPmNmza9mx43X273+LaDSKUqmku9vJ2NgYeXm56PU5dHU50xzt5DU0FGbbth3pDmNS0Wiy+dnPfoXL5WZgYJD29o50hyQmUDwep7m5lZaWNg4dOkJ7e+eE/LuSBGcArVbLrbfezMDAIKOjo/zmN3+gtLSY0tISSktLWLz4ArRaDRs3ys7GZ5G8Ua6pmYJGo+Ho0Xqqq6toaDjOpk2vYDQaMZkKuf761RQVmcb9HSHOhLGxMdraOnjwwT/T3t7JJZdcjN1u5fbb1/H44+ulQ/lnlHyPfvvb3+Cll17lhRc2MTQUprGxicbGpjRHJ0Tm0+m0GAx5uN0eotEoJlMheXm5OJ1uINFlXaFQSBIiJsTq1VcyNjZGU1MLAEqlKs0RiXQaGxub0PnkkgSn0fuz0UpRq9W89NJm1qy5iunTp447yrdu3Q2sXLmckZEzfz7+bJB8XadPr6Gvr49NmzZzxx1fYdWqFdx//wm8Xh+Dg0MoFIrUzGBJgsVEGB4eZtOmzRw48Dbr1q1l8eKFVFdX8vOf/99UZ2PxyXQ6HdnZ2bhc7lQ9tUKhSI0+i8fj6QxPiIxmMpkIhQZQqRLJRmlpCbFYjL6+PhQKBTablaGhISnBEhPCbC4iGAxxww1rmDlz+rgxgu3tnbS1tdPZ2YXP18PQUDjd4YqzjCTBGWDKlCpGRkY4cOBttFotV199OW+99Q5Op4vcXD02mxWPR+ogPq+yslL8/gANDcfZsWMXd9zxFebPr+PgwXfIzzditVpSR5YkARYTRaFQ4PX6uP/+B5g7dzb33vvV1A2p+HQOh41YLJbqYguJ96+8h4X4dAMDg3i9Pi66aDG7d+/FYjHj9wdoa+sgLy+XqqpKGhtlvraYGM88s4GxsTj19Q3s3/8WJlMhVqsFq9XChRdewOWXr0wtcP74xz+VEz/iSyVJcBoldx8rKsrxen0EAgF27tzNRRct5uqrL+cPf3gYtVqN1WqlqUkuSp9VcieosrKCbdu2k5WVxZYt27nkkotZvfpK6usbyM3Vk59vpKWlLb3BinPO6cna4cNH+c537pNa/88hEhnF5+tlyZLF9Pb2MTQUJhQaYGRkRBJhIT5FIBBg27YdfPWrd/Lwww8Qj48RiYywdu21lJYWU1xs5y9/eTbdYYpzRDCYKAU6fryR48cbUSgUaLVacnP1qfnvhYX5lJQUy2kp8aWTJDiNkjdstbUzqa8/Rjw+hsvlZvfuvVx22UoOHHib4eFhLJYiNm/emuZoJxe1Wo3H46WtrYPR0VEAHn30Sb7//X/i5ptvIC9PTzQao62tHZCdYJE+kgB/Pl1d3ezevYcbbljDggV1DA8P09PTh8vloqOjC6+3h/feO04g0J/uUIXIGPn5+YyMjBCJRHjjjX243R4uuGABJSUOCgsLuPzylYyMRHjmmRfYt+/NdIcrzjFqtRqNRsPg4CDhcJhwOIzP15N6XqVSyThB8aVTmM2lcvefJsmd4L/5m9tpbDzJ3r2JC49Op+VHP7qPrKwsRkejGI15/OAH/yGt4T8nh8OO3x8gHE7UkSgUCm688Touv3wlsVicPXv28eijT6Y5SiHEF1FamugI7XDYsdtt2GwW8vLyyMvL5f77H+DNNw+mO0QhMsbvfvdLAoF+nE4X3d0uWlvb6OvzE4/Hyc7ORqVScfJksyQaYsLl5eWycuVyrr76crKzs+nt7cPpdNPZ2UlbWwdOpxu325Pa0BDiyyJJcIaqrq481b24iFdf3caOHa+nO6RJoayslOzsrFOjZ8YYHh750AfntGk1DA2F6ezsSk+QQojPraammu5u58c2R8nJ0WEyFWK326ivb5AmKkKcotFouOmm6ygoKMBut2IymdDrc4jH4/j9AdxuD06nixMnTvLWW+9IIiwmRHIjaPXqq1i9+grefbcBt9uDw2HHajVjMhWi1WpRqVRs3bqdRx55It0hi7OMJMFpsmjRAlavvopf/vI3eL2+Dz2v02mJREblYvQ5/dM/fYvBwSEikQhVVRU0N7fi9fro7e3D7w+k/sRiMXlthZgkbDYLP/zhffziF7/m+PFGAKxWC3/7t3fS1dWN0+mitbWD9vYOotFomqMVIvOoVCo0mmxycnJO9cTIx2wuorjYgdVqxmIxY7VaeO65jTz33MZ0hyvOAckk+Ac/+Bd6e/t48MFHCYfD6PV69PocjEYDRqOR0tJijh17T5piiS+d1ASnydSpU9Drcz70+NKlF7J69ZXEYnGOHWvglVe20tvbl4YIJ6fnn9+EUqlgzpxZKJUqFiyYR15eLgDh8DCBQACXy8PAwAAvvvgKLpc7zRELIT5NZWUFWq12XIJbXl7KzJnTKS8vRaPRMDIywquvviY38EJ8hFgsxtBQmKGhMD09vUBHKgnR6/VceukKbrzxOhwOe7pDFeeIZC+WkpJiGhqOE4kkxoAODg4yODiY2iA6ePCdtMUozm6SBKdJeXkZ7e2dDA6+3xRn+fKl3H77LQQCAVpb27nsspXk5OTwhz88LI2bPqPm5sTA9ZMnm3nmmRfIysrCZCrA4bBTXl5GWVkJdruNuro5vPLKljRHK4T4LKZMqcbj8YxrdlVTMwWn081DD/0ZnU7HlVdeyuWXr6KpqYWjR+vTGK0QmemDzYW0Wg2LF1/A/PnnU1MzBa/Xx/79B9IYoTjX6HQ6dDotHR1dxGIxFAoFSqUy9Xw8Hpf7X3HGSBKcJg6HnV273mBkJLHypVAouOqqywgGg/z617+ntbUdvz/A0qUXUlLioLOzO80RZ76sLDXV1VWpZljJemC324vb7eWdd46kvjYnRyc1g0JMEpWV5Xg8PsLh92cDV1SU0dnZyXvvnQBgaGiIf/zHb2IyFaYrTCEyWiwWQ6/PwWazcvHFFzF/fh0GQx4dHZ3s2LGLrVt3jOvIK8SZkjyFUFLiABILMpDYHZZSNTFRJAlOg6ysLPLycnG7PanjfcuXL8XhsPPII0/Q2poY29PS0spll11CKCQjVD6LGTOm893vfhu320tfX6K7oMvlTs1gDoUGCIfDRCIRSYCFmETsdhu7dr3B8PD7SXBhYQFNTc1kZakZHU18jioUSvx+f7rCFCJjGY0Gli69kLlzZzN9+lQikQgHDrzNnj37aW/vIBgMpTtEcQ4qKjIBcM89d3H33XfQ19dHV5eT1tY2Wlvb6OzslpJAccZIEpwGNpuVcDiM3x8AEruSl122kkCgn+3bdwGgVCqxWMyoVCoCgUD6gp1EXC4369c/i8lUSGlpCfPmzcVgyEOlUhEOh+nr8+NyuenrC/DOO4epr29Id8hCiE+hVqvJysrC7w8Qj8dTj3/ve/8/KpUylQAbDHlotRo6OqTruxBJWq2WSy+9hDVrrkSn03HyZDPr1z/H9u27GB4eTu26JXfmhJgIyd+1rq5uHn30CfR6PRaLGbO5iLKyEmprZ5KdnQXAhg0v8fTTz6czXHGWkiQ4DZKdnysqyqivb+Cyy1ZSWlrMc89tTF2QsrLU2O12OZr0Ofh8Pbz44isoFAqys7PQ6RLdBZMdMEtK7FitVubPr2NwcJD6+ga58AuR4QyGPPr7+7HbrePeq9FolGSfLJVKhcViJhqN0tcnO8FCJC1YUMcNN6xmy5bt7Ny5+0PNIFUq1bjFJSEmUmdn97hyP4Mhj4KCfAoLCykoyKeioozDh4+mMUJxNpMkOA2am1s5ebKJtWuvZf78Oiory3n77cPs2vVG6ms0Gi02m4X29s40Rjq5OBw2fL4eYrE4IyMRRkYiBAIB2ts7OHjwHZRKJRqNBoMhj4GBAQBJgIXIcP39QRoajrN8+TJOnDhJS0sb/f3BcUejs7OzmD27NlVKIoRIMBoNZGVlUVRkoqqqArO5CKfTdapDNFJ/KdLif/2v/47L5aGtrf3Unw76+vwEgyGCwZDc+4oJIUlwGsRiMR555Ancbi/l5aXs2rWHTZteobe3L7UzaTQaqKgo5/nnZdzHZ6FQKPjpT3/M7373J5YvX4rL5aajoxOn001PTy+h0ADDw8OEw2HCYakHFmKyiMVibNnyGtOnT+Ub3/g7mptbcbs9eDxe/P4ACoWCefPmUlZWypNPPp3ucIXIKDt37sZut3P++bM5//w5wBgjIxFCoRBebw9Op4vOzi68Xh/Nza0yZ1uccXl5uYyOjlJS4mDWrJlkZSWOPYfDw3i9PtrbO3j33QaOHWuQWnVxRinM5lLZCksThUKBSqX6yIuO3W7j7/7ubh5/fD1NTS1piG5y0em0LFt2ER0dndxyy40YjQby842o1WoikQh9fQFcLhfd3S7a2zvZt+/NdIcshPgcSkqKWb58KTNmTMNsNpGT8/6c9WAwxHPPbWT79l1ytFOID1AoFOTk6CgsLMDhcFBdXUl1dSUFBfno9TkolUp0Oh333fcj2YETEyIvLxeDwYDJVIjZXITZXITVaqaoyITZbCYnR8fmzVt54glZ2BRnjiTB4qyRnC9nMOSRk5NDXl4uhYUF2GxW7HYbVquFkhIHHo+Pf/mXH0g9sBCTkEaTjdFopKgokQgrlQq6u110dzvTHZoQk4pKpSIvLxezuYiKinJ27HhddoJF2qhUKoxGA0ajkTVrrmLmzGn8+te/5+jRY+kOTZyl5Di0OGsk58v5/YFU520g1ShLq9WSn29M7RRJAizE5DMyEsHr9eH1+tIdihCTWiwWIxDoJxDo5+TJ5nSHI85BCoUCeP/+ra/PT1+fn02bNjN9eg1FRUVpjlCczSQJFmed+fPrsFjMDA8P4/P10NvbSzAYYmBgkP7+YLrDE0IIIYQ4531wMyJ5Qk+pVJCdrZFu/+KMkiRYnFWuu+4arr76CmCMrKws1Go1w8PD9PUFcDpdBAIBnntuozRbEEIIIYRIg+QOMIxPhJP/X1CQj0aTTUeH1KiLM0eSYHHWyMpSc/XVV/Dmm2+xefM2tFoNJpMJh8OGw2HDZrMye3YtTz/9QrpDFUIIIYQ4J31UOdr7u8BKzOYimfsuzjhJgsVZo7S0BK1Ww969b9LVlRi+3tTUglKpJCtLjVarRafTMTg4mOZIhRBCCCHOLQsXzuPmm9dy/PgJXC43nZ3duFxufL6eVGKs0WRTWzuTzs7uNEcrznaSBItJL7l6WF1dRTAYwufrGfd8PB5nZCTCyEhEaoKFEEIIIdLAYDCg1WqYPbuWRYsWolQqiERGCYVC+Hy99PT0YLfbqKys4Jlnnk93uOIsJ0mwmPSSSXB5eSkqlYqpU6cAidmhIyMjaY5OCCGEEEJs27aD/fsPYDKZTo2vtGKzWSkqMmGxmKmqqmBoaIiNG19i9+696Q5XnOUkCRaTXvIITUlJMbm5eu6881aGh4cJBkP09vbi8fhwOl309vbR2NhEJBJJc8RCCCGEEOeegYFBBgYGaW/vGPd4QUE++flGBgYGP3SiT4gzQWE2l8qwVHFWePDB33D48FFcLjd2uw2bzYLRaESr1TI2NoZOp+U73/lXXC53ukMVQgghhBBCpInsBIuzgsGQh0aTzRtv7OPQoSOpx3Nz9djtNoqLHZSVleLxeNMYpRBCCCGEECLdJAkWk9r79cBlxGIxwuHwuMcHBgY5ebKZkyeb0xypEEIIIYQQIhMo0x2AEH+N5MD1qqoKAoF+QqEB4KNn0AkhhBBCCCGE7ASLs0JFRRkmUyG33baO1tY2nE4XbrcHvz/A4OAQkUhEEmMhhBBCCCGEJMFicovH4wAcOVJPJDKKzWbhkksuRq/PQalUMjg4iMfjIxQK8eijT0pNsBBCCCGEEOc4SYLFpKbX5zA4OMTu3Xt5882DaLUaNBoNRUUmzOYibLbEDLopU6oYHR1Nd7hCCCGEEEKINJMRSWLSsljM3H77Laxf/yzd3U4AlEolBoOBQCAAgFqtRqVSkZ2dTSgUSmO0QgghhBBCiEwgjbHEpHXeeTM477wZqNXvH2hYsKCOr33tLvLzjQBEo1FMpgJyc/XpClMIIYQQQgiRQSQJFpNWZWU5Ho+HgYGB1GO1tTMxmQqJxRK1wgaDgRtvvJ5LL10BvN9NWgghhBBCCHFukiRYTFqVlRW4XB6GhsKpx4qLHbS3dzIyMgJAbq6eadNqGBwcSleYQgghhBBCiAwiSbCYtGw2Ky6Xm0gkAiR2ee12K11dTqLRKAAGQx56vZ4TJ06mM1QhhBBCCCFEhpAkWExKOTk6dDotLpebWCyGQqHAZCokLy8Pl8udGp1UUFCAWq2ivb0TQGYFCyGEEEIIcY6TJFhMSqWlJQAMDg4CieQ2N1dPNBrD5XIDic7QdruVkZGIdIYWQgghhBBCADInWExSdrsNgLvvvoPe3j6cThf5+fmMjIykOkFHo1EKCwvwen1A4ri07AQLIYQQQghxbpMkWExKPT297NmzH70+h6IiE+efP4fs7GzUahX/8A//H/39QQKBfqZOncKePW8CkgQLIYQQQgghJAkWk1R9fQP19Q0A6PV6iopM2O1WbLbEn6IiE/n5RtRqNceOJb5OEmAhhBBCCCGEwmwulcxAnJUKCvKx2220t3fIiCQhhBBCCCEEIEmwEEIIIYQQQohziHSHFkIIIYQQQghxzpAkWAghhBBCCCHEOUOSYCGEEEIIIYQQ5wxJgoUQQgghhBBCnDMkCRZCCCGEEEIIcc6QJFgIIYQQQgghxDlDkmAhhBBCCCGEEOcMSYKFEEIIIYQQQpwz/h9gbXcitz1vwgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1150x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "c = assign_color('teams', teamNames)\n",
    "plt.figure(figsize=(11.5,7))\n",
    "plt.axis([-0.2,21.3,-5,770])\n",
    "for i in range(10):\n",
    "    plt.plot(teamPoints[teamNames[i]].cumsum(), color=c[i], label=teamNames[i])\n",
    "plt.title('Formula 1 - 2022 Season\\nAll Teams\\' Points Progression', fontsize=19, fontweight='bold', color='#bbbbbb')\n",
    "plt.xticks(range(0,len(tracks)), tracks, rotation=80, fontsize=10, color='#bbbbbb')\n",
    "plt.yticks(fontsize=12, color='#bbbbbb')\n",
    "plt.axvline(0, linewidth=1, color='#bbbbbb')\n",
    "plt.axhline(0, linewidth=1, color='#bbbbbb')\n",
    "plt.legend(loc=(0.04,0.62), fontsize=9)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2f59f737",
   "metadata": {},
   "source": [
    "That's more like it! From the plot, it seems Red Bull started the season behind Ferrari and Mercedes, but they've taken the lead after **Spanish GP**. After that, they never left from the top position and even widened the points gap more and more each race!\n",
    "\n",
    "About Mercedes and Ferrari duo, it is clear to see that the Italian team **always got ahead** of their close rival for maintaining the 2nd place; their points gap always increased and decreased down race by race, and the closest one seemed to happen in Brazil.\n",
    "\n",
    "For 4th place, clearly there was a fierce head-to-head battle between **Alpine** and **McLaren** teams. However, the French team was the one to outperform the others after **Japanese GP** and never looked back.\n",
    "\n",
    "Discussing the 6th place, Alfa Romeo **had the superiority** against the rest of the teams, especially those from midfield group! But there existed a very long straight horizontal line, starting from Canada GP, while the rival teams' points were getting risen up. At the end, perhaps beating Aston Martin drivers in the last race helped them to secure their deserved position."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9acc9c16",
   "metadata": {},
   "source": [
    "## 2022 Season - Race Winners"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "83d3a73b",
   "metadata": {},
   "source": [
    "Doubtlessly, winning a race in F1 must be **the utmost super feeling** for any driver and team, because all the hard works made on the car, a great pace on the track, the trustworthiness of the driver and a bit of luck together bring them to victory! So, here comes the winners of every race that has been organized in 2022 Season:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "70f9ffa1",
   "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>No</th>\n",
       "      <th>Driver</th>\n",
       "      <th>Team</th>\n",
       "      <th>Starting Grid</th>\n",
       "      <th>Laps</th>\n",
       "      <th>Time/Retired</th>\n",
       "      <th>Points</th>\n",
       "      <th>+1 Pt</th>\n",
       "      <th>Fastest Lap</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Track</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Bahrain</th>\n",
       "      <td>16</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>1</td>\n",
       "      <td>57</td>\n",
       "      <td>1:37:33.584</td>\n",
       "      <td>26</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1:34.570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Saudi Arabia</th>\n",
       "      <td>1</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>4</td>\n",
       "      <td>50</td>\n",
       "      <td>1:24:19.293</td>\n",
       "      <td>25</td>\n",
       "      <td>No</td>\n",
       "      <td>1:31.772</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Australia</th>\n",
       "      <td>16</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>1</td>\n",
       "      <td>58</td>\n",
       "      <td>1:27:46.548</td>\n",
       "      <td>26</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1:20.260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Emilia Romagna</th>\n",
       "      <td>1</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>1</td>\n",
       "      <td>63</td>\n",
       "      <td>1:32:07.986</td>\n",
       "      <td>26</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1:18.446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Miami</th>\n",
       "      <td>1</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>3</td>\n",
       "      <td>57</td>\n",
       "      <td>1:34:24.258</td>\n",
       "      <td>26</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1:31.361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Spain</th>\n",
       "      <td>1</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>2</td>\n",
       "      <td>66</td>\n",
       "      <td>1:37:20.475</td>\n",
       "      <td>25</td>\n",
       "      <td>No</td>\n",
       "      <td>1:25.456</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Monaco</th>\n",
       "      <td>11</td>\n",
       "      <td>Sergio Perez</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>3</td>\n",
       "      <td>64</td>\n",
       "      <td>1:56:30.265</td>\n",
       "      <td>25</td>\n",
       "      <td>No</td>\n",
       "      <td>1:16.028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Azerbaijan</th>\n",
       "      <td>1</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>3</td>\n",
       "      <td>51</td>\n",
       "      <td>1:34:05.941</td>\n",
       "      <td>25</td>\n",
       "      <td>No</td>\n",
       "      <td>1:46.050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Canada</th>\n",
       "      <td>1</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>1</td>\n",
       "      <td>70</td>\n",
       "      <td>1:36:21.757</td>\n",
       "      <td>25</td>\n",
       "      <td>No</td>\n",
       "      <td>1:15.839</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Great Britain</th>\n",
       "      <td>55</td>\n",
       "      <td>Carlos Sainz</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>1</td>\n",
       "      <td>52</td>\n",
       "      <td>2:17:50.311</td>\n",
       "      <td>25</td>\n",
       "      <td>No</td>\n",
       "      <td>1:30.813</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Austria</th>\n",
       "      <td>16</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>2</td>\n",
       "      <td>71</td>\n",
       "      <td>1:24:24.312</td>\n",
       "      <td>25</td>\n",
       "      <td>No</td>\n",
       "      <td>1:07.583</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>France</th>\n",
       "      <td>1</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>2</td>\n",
       "      <td>53</td>\n",
       "      <td>1:30:02.112</td>\n",
       "      <td>25</td>\n",
       "      <td>No</td>\n",
       "      <td>1:37.491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hungary</th>\n",
       "      <td>1</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>10</td>\n",
       "      <td>70</td>\n",
       "      <td>1:39:25.912</td>\n",
       "      <td>25</td>\n",
       "      <td>No</td>\n",
       "      <td>1:22.126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Belgium</th>\n",
       "      <td>1</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>14</td>\n",
       "      <td>44</td>\n",
       "      <td>1:25:52.894</td>\n",
       "      <td>26</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1:49.354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Netherlands</th>\n",
       "      <td>1</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>1</td>\n",
       "      <td>72</td>\n",
       "      <td>1:36:42.773</td>\n",
       "      <td>26</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1:13.652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Italy</th>\n",
       "      <td>1</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>7</td>\n",
       "      <td>53</td>\n",
       "      <td>1:20:27.511</td>\n",
       "      <td>25</td>\n",
       "      <td>No</td>\n",
       "      <td>1:24.745</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Singapore</th>\n",
       "      <td>11</td>\n",
       "      <td>Sergio Perez</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>2</td>\n",
       "      <td>59</td>\n",
       "      <td>2:02:20.238</td>\n",
       "      <td>25</td>\n",
       "      <td>No</td>\n",
       "      <td>1:48.165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Japan</th>\n",
       "      <td>1</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>1</td>\n",
       "      <td>28</td>\n",
       "      <td>3:01:44.004</td>\n",
       "      <td>25</td>\n",
       "      <td>No</td>\n",
       "      <td>1:44.911</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>United States</th>\n",
       "      <td>1</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>2</td>\n",
       "      <td>56</td>\n",
       "      <td>1:42:11.687</td>\n",
       "      <td>25</td>\n",
       "      <td>No</td>\n",
       "      <td>1:39.541</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mexico</th>\n",
       "      <td>1</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>1</td>\n",
       "      <td>71</td>\n",
       "      <td>1:38:36.729</td>\n",
       "      <td>25</td>\n",
       "      <td>No</td>\n",
       "      <td>1:22.046</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brazil</th>\n",
       "      <td>63</td>\n",
       "      <td>George Russell</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>1</td>\n",
       "      <td>71</td>\n",
       "      <td>1:38:34.044</td>\n",
       "      <td>26</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1:13.785</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Abu Dhabi</th>\n",
       "      <td>1</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>1</td>\n",
       "      <td>58</td>\n",
       "      <td>1:27:45.914</td>\n",
       "      <td>25</td>\n",
       "      <td>No</td>\n",
       "      <td>1:29.392</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                No           Driver                  Team  Starting Grid  \\\n",
       "Track                                                                      \n",
       "Bahrain         16  Charles Leclerc               Ferrari              1   \n",
       "Saudi Arabia     1   Max Verstappen  Red Bull Racing RBPT              4   \n",
       "Australia       16  Charles Leclerc               Ferrari              1   \n",
       "Emilia Romagna   1   Max Verstappen  Red Bull Racing RBPT              1   \n",
       "Miami            1   Max Verstappen  Red Bull Racing RBPT              3   \n",
       "Spain            1   Max Verstappen  Red Bull Racing RBPT              2   \n",
       "Monaco          11     Sergio Perez  Red Bull Racing RBPT              3   \n",
       "Azerbaijan       1   Max Verstappen  Red Bull Racing RBPT              3   \n",
       "Canada           1   Max Verstappen  Red Bull Racing RBPT              1   \n",
       "Great Britain   55     Carlos Sainz               Ferrari              1   \n",
       "Austria         16  Charles Leclerc               Ferrari              2   \n",
       "France           1   Max Verstappen  Red Bull Racing RBPT              2   \n",
       "Hungary          1   Max Verstappen  Red Bull Racing RBPT             10   \n",
       "Belgium          1   Max Verstappen  Red Bull Racing RBPT             14   \n",
       "Netherlands      1   Max Verstappen  Red Bull Racing RBPT              1   \n",
       "Italy            1   Max Verstappen  Red Bull Racing RBPT              7   \n",
       "Singapore       11     Sergio Perez  Red Bull Racing RBPT              2   \n",
       "Japan            1   Max Verstappen  Red Bull Racing RBPT              1   \n",
       "United States    1   Max Verstappen  Red Bull Racing RBPT              2   \n",
       "Mexico           1   Max Verstappen  Red Bull Racing RBPT              1   \n",
       "Brazil          63   George Russell              Mercedes              1   \n",
       "Abu Dhabi        1   Max Verstappen  Red Bull Racing RBPT              1   \n",
       "\n",
       "                Laps Time/Retired  Points +1 Pt Fastest Lap  \n",
       "Track                                                        \n",
       "Bahrain           57  1:37:33.584      26   Yes    1:34.570  \n",
       "Saudi Arabia      50  1:24:19.293      25    No    1:31.772  \n",
       "Australia         58  1:27:46.548      26   Yes    1:20.260  \n",
       "Emilia Romagna    63  1:32:07.986      26   Yes    1:18.446  \n",
       "Miami             57  1:34:24.258      26   Yes    1:31.361  \n",
       "Spain             66  1:37:20.475      25    No    1:25.456  \n",
       "Monaco            64  1:56:30.265      25    No    1:16.028  \n",
       "Azerbaijan        51  1:34:05.941      25    No    1:46.050  \n",
       "Canada            70  1:36:21.757      25    No    1:15.839  \n",
       "Great Britain     52  2:17:50.311      25    No    1:30.813  \n",
       "Austria           71  1:24:24.312      25    No    1:07.583  \n",
       "France            53  1:30:02.112      25    No    1:37.491  \n",
       "Hungary           70  1:39:25.912      25    No    1:22.126  \n",
       "Belgium           44  1:25:52.894      26   Yes    1:49.354  \n",
       "Netherlands       72  1:36:42.773      26   Yes    1:13.652  \n",
       "Italy             53  1:20:27.511      25    No    1:24.745  \n",
       "Singapore         59  2:02:20.238      25    No    1:48.165  \n",
       "Japan             28  3:01:44.004      25    No    1:44.911  \n",
       "United States     56  1:42:11.687      25    No    1:39.541  \n",
       "Mexico            71  1:38:36.729      25    No    1:22.046  \n",
       "Brazil            71  1:38:34.044      26   Yes    1:13.785  \n",
       "Abu Dhabi         58  1:27:45.914      25    No    1:29.392  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "season2022RaceResults[season2022RaceResults['Position'] == '1'].set_index('Track').drop('Position', axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "017df6ad",
   "metadata": {},
   "source": [
    "Yes, from the table above, we can say that it's mostly teeming with **Max Verstappen**'s and **Red Bull**'s name! Amongst many of the races, the team and the Dutchman scored race wins successively (6 and 9 times), including Sergio Perez in the middle. This also shows a clear dominance against rivals for both Drivers and Constructors standings!\n",
    "\n",
    "If we count the number of race wins by drivers this season, then this visual below greets us:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "bd6629ff",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 900x450 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "winners = season2022RaceResults[season2022RaceResults['Position'] == '1']['Driver'].value_counts()\n",
    "c = assign_color('drivers', winners.index)\n",
    "plt.figure(figsize=(9,4.5))\n",
    "plt.axis([0,15.2,4.5,-0.5])\n",
    "plt.barh([driver.split()[1] for driver in winners.index], winners, color=c)\n",
    "for i in range(len(winners)):\n",
    "    plt.text(winners[i]-1, i+0.15, \"{:>3}\".format(winners[i]), fontsize=19, fontweight='bold', color='k')\n",
    "plt.title('Formula 1 - 2022 Season\\n# of Race Wins (Drivers)', fontsize=19, fontweight='bold', color='#bbbbbb')\n",
    "plt.xlabel('RACE WINS', fontsize=14, fontweight='bold', color='#bbbbbb')\n",
    "plt.ylabel('DRIVERS', fontsize=14, fontweight='bold', color='#bbbbbb')\n",
    "plt.xticks(color='#bbbbbb')\n",
    "plt.yticks(color='#bbbbbb')\n",
    "plt.axvline(0, color='#bbbbbb')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dd93ed36",
   "metadata": {},
   "source": [
    "It is clear to state that Max Verstappen took the win of **almost two thirds of the races** of 2022 Season! Moreover, the number of race wins from him is equal to 5-fold of Charles Leclerc's win count! Besides, his teammate Sergio Perez only stayed at 2 wins, which came from the street race tracks, Monaco and Singapore.\n",
    "\n",
    "Certainly, **Carlos Sainz** and **George Russell** finally achieved to join Grand Prix race winners club this season! We wonder whether they can repeat the same accomplishment in the future..."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "18d1ffa6",
   "metadata": {},
   "source": [
    "## 2022 Season - Pole Positions"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5ea8e262",
   "metadata": {},
   "source": [
    "Starting races on pole position is an important feat for any driver and any team. With the facts such as perfect car settings, fresh soft tyres, maximum grip on the asphalt, plus great driving to put everything together for the fastest lap time in qualifying, then it becomes a deserved thing to start the race in the first place on Sunday!\n",
    "\n",
    "If you wonder which drivers were polesitters in all races of 2022 Season, take a look at the two tables below. Keep in mind that the broad one is for **those with regular race weekend structure** i.e. qualifying sessions on Saturday; whereas the second one is **where Sprint races were available** in the weekend, hence organized on Friday:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "2aaad75d",
   "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>Position</th>\n",
       "      <th>No</th>\n",
       "      <th>Driver</th>\n",
       "      <th>Team</th>\n",
       "      <th>Laps</th>\n",
       "      <th>Time/Retired</th>\n",
       "      <th>Points</th>\n",
       "      <th>+1 Pt</th>\n",
       "      <th>Fastest Lap</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Track</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Bahrain</th>\n",
       "      <td>1</td>\n",
       "      <td>16</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>57</td>\n",
       "      <td>1:37:33.584</td>\n",
       "      <td>26</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1:34.570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Saudi Arabia</th>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>Sergio Perez</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>50</td>\n",
       "      <td>+10.800</td>\n",
       "      <td>12</td>\n",
       "      <td>No</td>\n",
       "      <td>1:32.042</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Australia</th>\n",
       "      <td>1</td>\n",
       "      <td>16</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>58</td>\n",
       "      <td>1:27:46.548</td>\n",
       "      <td>26</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1:20.260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Miami</th>\n",
       "      <td>2</td>\n",
       "      <td>16</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>57</td>\n",
       "      <td>+3.786</td>\n",
       "      <td>18</td>\n",
       "      <td>No</td>\n",
       "      <td>1:31.488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Spain</th>\n",
       "      <td>NC</td>\n",
       "      <td>16</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>27</td>\n",
       "      <td>DNF</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>1:27.030</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Monaco</th>\n",
       "      <td>4</td>\n",
       "      <td>16</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>64</td>\n",
       "      <td>+2.922</td>\n",
       "      <td>12</td>\n",
       "      <td>No</td>\n",
       "      <td>1:16.249</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Azerbaijan</th>\n",
       "      <td>NC</td>\n",
       "      <td>16</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>21</td>\n",
       "      <td>DNF</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>1:47.531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Canada</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>70</td>\n",
       "      <td>1:36:21.757</td>\n",
       "      <td>25</td>\n",
       "      <td>No</td>\n",
       "      <td>1:15.839</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Great Britain</th>\n",
       "      <td>1</td>\n",
       "      <td>55</td>\n",
       "      <td>Carlos Sainz</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>52</td>\n",
       "      <td>2:17:50.311</td>\n",
       "      <td>25</td>\n",
       "      <td>No</td>\n",
       "      <td>1:30.813</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>France</th>\n",
       "      <td>NC</td>\n",
       "      <td>16</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>17</td>\n",
       "      <td>DNF</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>1:38.088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hungary</th>\n",
       "      <td>3</td>\n",
       "      <td>63</td>\n",
       "      <td>George Russell</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>70</td>\n",
       "      <td>+12.337</td>\n",
       "      <td>15</td>\n",
       "      <td>No</td>\n",
       "      <td>1:22.766</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Belgium</th>\n",
       "      <td>3</td>\n",
       "      <td>55</td>\n",
       "      <td>Carlos Sainz</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>44</td>\n",
       "      <td>+26.886</td>\n",
       "      <td>15</td>\n",
       "      <td>No</td>\n",
       "      <td>1:51.977</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Netherlands</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>72</td>\n",
       "      <td>1:36:42.773</td>\n",
       "      <td>26</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1:13.652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Italy</th>\n",
       "      <td>2</td>\n",
       "      <td>16</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>53</td>\n",
       "      <td>+2.446</td>\n",
       "      <td>18</td>\n",
       "      <td>No</td>\n",
       "      <td>1:24.336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Singapore</th>\n",
       "      <td>2</td>\n",
       "      <td>16</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>59</td>\n",
       "      <td>+2.595</td>\n",
       "      <td>18</td>\n",
       "      <td>No</td>\n",
       "      <td>1:48.753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Japan</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>28</td>\n",
       "      <td>3:01:44.004</td>\n",
       "      <td>25</td>\n",
       "      <td>No</td>\n",
       "      <td>1:44.911</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>United States</th>\n",
       "      <td>NC</td>\n",
       "      <td>55</td>\n",
       "      <td>Carlos Sainz</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>1</td>\n",
       "      <td>DNF</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mexico</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>71</td>\n",
       "      <td>1:38:36.729</td>\n",
       "      <td>25</td>\n",
       "      <td>No</td>\n",
       "      <td>1:22.046</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Abu Dhabi</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>58</td>\n",
       "      <td>1:27:45.914</td>\n",
       "      <td>25</td>\n",
       "      <td>No</td>\n",
       "      <td>1:29.392</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Position  No           Driver                  Team  Laps  \\\n",
       "Track                                                                     \n",
       "Bahrain              1  16  Charles Leclerc               Ferrari    57   \n",
       "Saudi Arabia         4  11     Sergio Perez  Red Bull Racing RBPT    50   \n",
       "Australia            1  16  Charles Leclerc               Ferrari    58   \n",
       "Miami                2  16  Charles Leclerc               Ferrari    57   \n",
       "Spain               NC  16  Charles Leclerc               Ferrari    27   \n",
       "Monaco               4  16  Charles Leclerc               Ferrari    64   \n",
       "Azerbaijan          NC  16  Charles Leclerc               Ferrari    21   \n",
       "Canada               1   1   Max Verstappen  Red Bull Racing RBPT    70   \n",
       "Great Britain        1  55     Carlos Sainz               Ferrari    52   \n",
       "France              NC  16  Charles Leclerc               Ferrari    17   \n",
       "Hungary              3  63   George Russell              Mercedes    70   \n",
       "Belgium              3  55     Carlos Sainz               Ferrari    44   \n",
       "Netherlands          1   1   Max Verstappen  Red Bull Racing RBPT    72   \n",
       "Italy                2  16  Charles Leclerc               Ferrari    53   \n",
       "Singapore            2  16  Charles Leclerc               Ferrari    59   \n",
       "Japan                1   1   Max Verstappen  Red Bull Racing RBPT    28   \n",
       "United States       NC  55     Carlos Sainz               Ferrari     1   \n",
       "Mexico               1   1   Max Verstappen  Red Bull Racing RBPT    71   \n",
       "Abu Dhabi            1   1   Max Verstappen  Red Bull Racing RBPT    58   \n",
       "\n",
       "              Time/Retired  Points +1 Pt Fastest Lap  \n",
       "Track                                                 \n",
       "Bahrain        1:37:33.584      26   Yes    1:34.570  \n",
       "Saudi Arabia       +10.800      12    No    1:32.042  \n",
       "Australia      1:27:46.548      26   Yes    1:20.260  \n",
       "Miami               +3.786      18    No    1:31.488  \n",
       "Spain                  DNF       0    No    1:27.030  \n",
       "Monaco              +2.922      12    No    1:16.249  \n",
       "Azerbaijan             DNF       0    No    1:47.531  \n",
       "Canada         1:36:21.757      25    No    1:15.839  \n",
       "Great Britain  2:17:50.311      25    No    1:30.813  \n",
       "France                 DNF       0    No    1:38.088  \n",
       "Hungary            +12.337      15    No    1:22.766  \n",
       "Belgium            +26.886      15    No    1:51.977  \n",
       "Netherlands    1:36:42.773      26   Yes    1:13.652  \n",
       "Italy               +2.446      18    No    1:24.336  \n",
       "Singapore           +2.595      18    No    1:48.753  \n",
       "Japan          3:01:44.004      25    No    1:44.911  \n",
       "United States          DNF       0    No         NaN  \n",
       "Mexico         1:38:36.729      25    No    1:22.046  \n",
       "Abu Dhabi      1:27:45.914      25    No    1:29.392  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "season2022PolePos = season2022RaceResults[season2022RaceResults['Starting Grid'] == 1].set_index('Track') \\\n",
    "    .drop('Starting Grid', axis=1).drop(['Emilia Romagna','Austria','Brazil'], axis=0)\n",
    "polePos = {}\n",
    "for driver in season2022PolePos['Driver']:\n",
    "    if driver not in polePos:   polePos[driver] = 1\n",
    "    else:   polePos[driver] += 1\n",
    "season2022PolePos"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8aa83ea9",
   "metadata": {},
   "source": [
    "According to the table above, we encounter **Charles Leclerc**'s name mostly, especially he became the polesitter in **6 out of first 7 Grands Prix**! However, the Monegasque driver successfully turned these into race wins in only 2 locations, Bahrain and Australia.\n",
    "\n",
    "Unlike Leclerc, Max Verstappen's all pole positions ended up with race wins for himself which is terrific!\n",
    "\n",
    "In all these rows, we only saw Mercedes' name at Hungary, where George Russell achieved to set the fastest lap; which was **the first pole** in his F1 career!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "424a4f40",
   "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>Position</th>\n",
       "      <th>No</th>\n",
       "      <th>Driver</th>\n",
       "      <th>Team</th>\n",
       "      <th>Laps</th>\n",
       "      <th>Time/Retired</th>\n",
       "      <th>Points</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Track</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Emilia Romagna</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>21</td>\n",
       "      <td>30:39.567</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Austria</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>23</td>\n",
       "      <td>26:30.059</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brazil</th>\n",
       "      <td>8</td>\n",
       "      <td>20</td>\n",
       "      <td>Kevin Magnussen</td>\n",
       "      <td>Haas Ferrari</td>\n",
       "      <td>24</td>\n",
       "      <td>+28.768</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Position  No           Driver                  Team  Laps  \\\n",
       "Track                                                                      \n",
       "Emilia Romagna        1   1   Max Verstappen  Red Bull Racing RBPT    21   \n",
       "Austria               1   1   Max Verstappen  Red Bull Racing RBPT    23   \n",
       "Brazil                8  20  Kevin Magnussen          Haas Ferrari    24   \n",
       "\n",
       "               Time/Retired  Points  \n",
       "Track                                \n",
       "Emilia Romagna    30:39.567       8  \n",
       "Austria           26:30.059       8  \n",
       "Brazil              +28.768       1  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "season2022PolePosSprint = season2022SprintRaceResults[season2022SprintRaceResults['Starting Grid'] == 1] \\\n",
    "    .set_index('Track').drop('Starting Grid', axis=1)\n",
    "polePosSprint = {}\n",
    "for driver in season2022PolePosSprint['Driver']:\n",
    "    if driver not in polePos:   polePos[driver] = 1\n",
    "    else:   polePos[driver] += 1\n",
    "season2022PolePosSprint"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1261c2d6",
   "metadata": {},
   "source": [
    "Now, for the qualifying sessions on Friday. Remember that in such race weekends, **these formed the Sprint races' starting grid**; that's why we see less information, as I grabbed them from another dataset. Here, Verstappen took the poles in Emilia Romagna (Imola) and Austria GP.\n",
    "\n",
    "Well, you must be astonished how **Kevin Magnussen** appeared here for Brazil GP! If you memorize what happened in Friday's qualifying there, particularly in Q3, Magnussen did a lap with somewhat dry conditions before rain arrived over the track, and then other drivers did not do much against wet surface even when there were plenty of time. By staying in the garage until the time ran out, that's how the Danish driver earned the pole **for the first time in his career**; meanwhile, that was the first for Haas team, too! Despite starting first in the Sprint race, he could not match with the top teams' pace overall, and consequently, completed the short race in 8th race (verify it with the corresponding result table above).\n",
    "\n",
    "Anyway, the visual below will tell us the unique drivers and their counts for pole positions in 2022:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "222603b8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 900x450 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "polePositions = pd.Series(polePos).sort_values(ascending=False)\n",
    "c = assign_color('drivers', polePositions.index)\n",
    "plt.figure(figsize=(9,4.5))\n",
    "plt.axis([0,9.25,5.5,-0.5])\n",
    "plt.barh([driver.split()[1] for driver in polePositions.index], polePositions, color=c)\n",
    "plt.title('Formula 1 - 2022 Season\\n# of Pole Positions (Drivers)', fontsize=19, fontweight='bold', color='#bbbbbb')\n",
    "for i in range(len(polePositions)):\n",
    "    plt.text(polePositions[i]-0.4, i+0.15, polePositions[i], fontsize=18, fontweight='bold', color='k')\n",
    "plt.xlabel('POLE POSITIONS', fontsize=14, fontweight='bold', color='#bbbbbb')\n",
    "plt.ylabel('DRIVERS', fontsize=14, fontweight='bold', color='#bbbbbb')\n",
    "plt.xticks(color='#bbbbbb')\n",
    "plt.yticks(color='#bbbbbb')\n",
    "plt.axvline(0, color='#bbbbbb')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "04148c9c",
   "metadata": {},
   "source": [
    "In general, Charles Leclerc was the driver with the most poles, **total of 9 times!** Nevertheless, as you can confirm from the table above, this wasn't enough to beat Verstappen!\n",
    "\n",
    "Together with this, the 2022 Season champion Max Verstappen became the polesitter in 7 different races, but his teammate Perez achieved it only in one race weekend (Saudi Arabia GP), **this was the first** in his career!\n",
    "\n",
    "Similarly, as explained above, Russell and Magnussen also had their first pole added to their F1 careers this season.\n",
    "\n",
    "On the other hand, we could not see Lewis Hamilton to **not score any pole position** in 2022; he experienced this situation for the first time since his beginning in 2007!\n",
    "\n",
    "**Do you think this is 100% correct?** Well, if you reach the _Qualifying Analysis_ section, you'll see that there is a minor change with the numbers where one driver's number is **one more** and the other one's is **one less**. You are curious now, aren't you?"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f046c03f",
   "metadata": {},
   "source": [
    "## 2022 Season - Podium Finishes"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "280fd0b2",
   "metadata": {},
   "source": [
    "As always, it is a great feeling for an F1 driver to **step on the podium** for any race, then lift up the trophy to the air and drink the champagne; celebrating the achievement with his team members altogether... Here, it's time to learn which and how many times drivers completed races in top three this season: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "3734e2e5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0sAAAH8CAYAAAAAFDSSAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjYuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/av/WaAAAACXBIWXMAAA9hAAAPYQGoP6dpAACC2klEQVR4nOzdd3wUdf7H8Vc2vRdICKGFlhB6D6EjiIIgKhYOy6l41kM9RM9efpazdz1R4axgQ0UUEUF67y3UACGQhIRACunJ5vdHyJIlk7Jpm8D7+Xjkwe7Md2Y++01I9r3fme84BAa2KkJERERERESsmOxdgIiIiIiISEOksCQiIiIiImJAYUlERERERMSAwpKIiIiIiIgBhSUREREREREDCksiIiIiIiIGFJZEREREREQMKCyJiIiIiIgYUFgSEREREREx4GTvAkREquOuu25n2LDB1d7++edfYc+efbVY0cVr4sQJTJw4AYCPPprJihWr6/X41113NVdfPd5qWWFhIcnJJ1m9eh0//TQfs9lcrzWVGD58CHfeeVuV2prNZnJyckhISGTduo0sXLiYwsLCctu7ubkxZMhAunSJIDS0NV5ennh4eJCXl09mZiZJScns3buPlSvXEh+fYLgPk8nEV199WuXXk5eXx+nTqURH7+WXXxZw4kSS1fpnnnmM8PCOVdpXQUEBGRlniIk5zMKFfxIdvbfKdZQIC+vA0KGD6NChPU2bBuDm5obJVPHnwNHRe3nhhVdtPpaIXJwUlkRE5ILj6OhIcHAzJk6cQGZmFgsX/mnvkiplMpnw8PCgfft2tG/fjt69e/LSS68bBqZhwwZz443X4+XlVWadi4szLi5++Pv7ER7ekfHjx7Jy5RpmzfqS/Pz8GtXo4uJCs2ZBNGsWxIAB/XnxxVc5dOhItfbl5OSEv78fffv2onfvHnz22dcsXry0Sts6ODhw2203MWrUiGodW0SkqhSWRKTR27JlO4cPH7Fpm+Tkk3VTjNS73bv3lBk56tixPd27dwUgMrKv3cLSkSOxzJ07r0ptTSYTwcHNiIzsi8lkIiIinMsuG8mCBYus2o0bdzmTJ19veZ6UlMyePftITU2loKAQBwcHPDw8aNOmFeHhHTGZTAwbNpjmzYN5/vlXrMJXUVFRlesD8PT0JDKyL/7+fri7u/GPf9zGY489Y1m/bNlKdu2KrtK+XF1d6NKlM23btsFkMnHTTTewadNWUlNTK932mmuutASlgoICduzYzbFjx6sUBvV/X0RsobAkIo3e1q3bWbJkmb3LEDuJjt5b5hSu4OBmvPnmfwBo0iTAHmUBcOTIUY4cOWrTNnFx47j++msA6Nu3t1VYats2lBtumAgUn7b3xRez+fPPpRQVFRnuq1WrFkybNpVmzYIIC+vA9ddfw5w531vW2xqWABYs+IO33noZR0dH2rRpRVBQIElJyQAsX77Kpn2ZTCZeffV5QkKa4+LiQs+e3Vi2bGWF2zg7OzFmzGiguA/efPM9tm3badNxRUSqSmFJRKSU8PCODBs2mA4d2ls+PTeZTBQWFpKVlUVi4gl27drDn38urfQT8BYtQrjiisvo0iUCf38/nJysf+W++eZ7bNq0FYDZs2fVSv2FhYVkZmYRG3uUVavWsnLlGsN2pa/5qsr1W++88yqBgU0BmDz59irXM23aP+nbt3eFbbKyskhKOsn27Tv5/fc/SU9Pr/L+y1NQUGB5fH6/N3SxsXGWx97e1qfZXXnlGBwdHQFYtOgvFi36q8J9xcUd5913P+LFF58G4NJLR/DLL7+RmZlV7fpOnkwhKysLb2/vszV6W8KSrcxmM3FxxwkJaX52X2VPKzxfSEgIHh7uACQmJtVqUAoKCmTUqOFERHQiKCgQT08PTCYTeXl5nDmTSVzcMTZv3sbKlavJzc2z2tbDw51PP/2gwv0XFhZy5swZYmPjWLVqLatXrys36AYE+HP55ZfStWtngoICcXNzrfB6rA8++JjVq9eVWe7n58vIkcPp0iWC5s2D8fT0sPyfyMrKJi0tjQMHYli+fFW5vwciIsJ56ql/V/jaSq65S0xMYuvW7Sxc+GeNfs5EGorG9RdERKSOODo6cuedtzFkyMBy13t7e+Pt7U3Hjh0YO3Y0n376ueGbE4ABA/pxzz134OzsXJdlG9bp4+NNt25d6NatC7179+Cdd/5brzXYysPDg9DQ1oSGtmb48CG8+upbHD4ca++y7MLBwYGhQ8/9DJ48mWJ57OjoSK9ePS3Pq3p9z+HDR4iJOUT79u1wc3OjZ8/u5f7cVkXv3j0sQam4xuqf1takSQBdu0aU2ldKBa2LlQ6/JWGmNibwGDt2NJMmXWsYrl1cXAgIcCEgwJ8ePboxbtzlvPHGu8TFHbfpGI6Ojvj6+tK9uy/du3dl4MBI3njjvTLXpXXqFMb06Q9YQmF19e/fh7vvnoKbm5vheg8Pdzw83GnePJihQwexdu0GPvpoZrWubSu55q5du1DatQtl8OAonnvu5SqdVinSkCksiYgAN988yRKUCgoK2L59J8ePJ1i9aXB1daVt2zZERITj6urKPffcQWZmZplPtv39/bjrrttxdnamoKCATZu2kpCQWOYNndEMZZVNRtCmTSvLSE109N4ynwQ7ODjg7+9H//59zl5f0o9Ro/ZW+Y11bVu7doPVSIkRJydHRo26BE9PD3x9fXjwwfuYPv1x8vMLKtzuQhMY2JQpU26xXGsFsHXrDsvj0NDWuLgUh++cnJxyZ7gzcvhwLO3btwOKr+eqTlhydHRk3LjLLTMfFu/3CGlp1RsJ7NevD7feeiOenp5A8WuqygyVJ06cwGw2YzKZ8PX1YcqUv/Pll3PIycmpVh1QPGHGTTdNAopHf3btiubo0WPk5RWPHjk4OODt7UWXLhGEhDQnKCiQhx9+kIcffsIywpSfn1+lUxqbNw9m4MBIAHr27M51113NN9/8YFnv5OTEfffdaQlKhw/HEh29t9LXd/ToMavnHTu255//vMsS/mJj49izZx+ZmZmljuVIkyZN6NWrB56eHkRF9aeoqIj3359R7nGOHDnK5s1bDdd5e3vRvXtXgoOb0axZELfddhNvvfV+hXWLNHQKSyJy0WvWLMhysXhOTg7PPfcysbHlX2fSr18f/vWv+zCZTNxyy2S2b3/c6lSaAQP64erqCsBPP83np5/mV7mWrKysCt9wDR06yBKW9uzZV27b+fMX8OqrL+Dk5MTo0SPtGpYq0rRpEx544F48PT0sywIDmxIVFVnvU5Dbi6urCxMmjGPs2NG4uLhYlu/evcfq++bn52t5bOvpTRkZZ0rtx8/mGnv37sFNN00iOLhZqRoy+fTTz23eV8uWLbjllr/RtWtnyzKz2cyXX35DampapdufOZPJxo2biYzsB8CIEUOIjOzDxo1b2LJlGzt3RtsUnJydnZk06Vqg+IOSF198jX37Dhi2dXBw4LHHHqJr1840bdqE4cOH8scfiwHIzy+oNCxFRfVn7NjLrJaNHj2SH3/8xRLMOnUKs1xnFx+fwJNP/l+5p+pVpPQo2c8//8p33/1YblsfH2+effZxgoObMXBgJIsXL2Xv3v2GbWNjj1b4Op2cnHjttRdo1iyIPn164u3tTUZGhs31izQUCksictHr37+v5VqApUtXVhiUADZu3My+fQcID+9IcHAzOnRox4EDMZb1zZsHWx4fPHioboquRGJiEgkJibRq1ZKWLUNwc3Or0SfvdaF37x7cffcUy/TXqalplkAQERF+UYSlwYOjmDTpWgIC/C3LzGYzixcv5csvv7EajfTw8LBqYwvr/VT91K4WLUK4+eZJVqNdUDzL3wcffMLx4/FV3peXlyfXXns1I0cOs1x3BZCWls6nn37G5s3bqryvTz/9gqZNm1hGyzw8PBg2bDDDhg2moKCAffsOsG3bDrZt21lpjd26dcbX1weAzZu3lhuUoHhCjIULF1uCXvfuXSxhqSKOjo7cfPMkRo8eaVlW8vPu5uZK+/ZtLaNqPj7nTnFMTj5ZraDk6+tDREQ4AOnpGZWGuPT0DObP/51//ONWAAYNGlBuWKpMQUEBO3fuplmzIEwmE23btmbHjt3V2pdIQ6CwJCKN3pQptzBlyi02bVN6UoPQ0FaW5QcPxpS3iZVDh45Ybr7Ztm2oVVgqfZ1S6YkG6lvp0QRPT48GE5YcHBy44YaJjBt3uSWkbtq0hR9+mMfLLz8HFJ/KeCFr374tt9wymY4d21stj4k5xBdfzLH6eSrh4OBQK8eu7KatUPzzMnHiVYwaNdzqGp7MzEx++mk+CxcurnJgM5lMjBo1gmuvnWB1X6iCggKWLl3Bd9/9ZHVqWFVkZmby7LP/4bLLRnHFFZdZ/bw4OTnRpUsEXbpEcOONN5CQkMiqVWtZvHip1f+JEu3atbU8PnSo8mvlSk893qRJk0rbl4yetm9ffJy8vHy++GI2/v5+llMaS9dfev9du3Zm1KjhrFy5psyEEhVp06a15fHhw0cqvLlxiUOHDlset2sXWuVjGSl9ambp69tEGiOFJRG56JV+A1fV05uyss61K/1JcENVW2+0a8rPz5epU++2fOpdWFjId9/9xPz5C2ja9Nwbz4Yyg13fvr2s3niWiI09apnJ0BZ+fr5MmnQtgwdHWYWW5OSTfPfdjzWaeKE2ODg4MHLkcK677iqrN7kFBQUsXryUuXN/sSnYdO3amZtvnkSrVi2tlm/dup2vv/7OpuuuzldYWMiCBX/wxx+LLZOZ9OjRzTJrY4nmzYO57rqrGTv2MmbP/o6lS1dYrS/9/7dTp464uEygIqVn7HNzc62w7fmjp8nJJ3n77Q85fPiI1bVfpX/eDx48REzMYdq3b4ujoyO3334LN9/8Nw4fjj277hAHDx6q8H5RpWss/buqIllZ2aW2r73faaVHEUUao4bx10hEpAZqelPamv4xbyhv7Bu6zp078c9/3mU51S4tLY333ptR5h5JDUmfPr0sU6yXtnz5KpvCkoODA2PHjuaaaybg7n5uZrKsrGx++eU3fv99UaUTWlTndCxb9tOhQzvuuOPvtG7dymr5xo1bmDPnOxITk6p8DH9/P2699Sb69bOeNv7IkaPMnv1dlW9cWxWFhYVnT7krngyjefNgunfvSvfuXYiI6GQJNJ6eHvzjH7fi5ubK77+fm0Sl9Ehwr1496NWrR5WPXd6HEEajp9u37+SDDz7mzJmKw2ZRURGvvfYOd9xxi+X6RGdnZ8LCOhAW1sHS7tSp02zbtoMlS5aVmT2yOr/TSv9c6HeayDn63yAijZ5uStvwjRlzKZMnX295E7d//0HeeedDTp9OtW9h9cDFxYVp0/5pdd1PYWEhS5eu4IcffiY9vWoXv2dnn/vkvyqn0pVWur3R6OnIkcO59dYbrd5kx8Qc5uuvv7X52pUOHdoxffoDViM2p06d5vvvf2LFitW1FvrKk5CQSEJCIn/8sRhnZ2f69evNxIkTLNcSXn/9NaxYsbrO7gHk6enJ/fffTbduXYDi68V+/vlX5s6dV+XXnp6ezptvvk/Hju3p378vPXt2o3nzYKvvY0CAP5dcMoxLLhnG4sVL+d//vqrzvhW5GCksichFryrn81fEntclNQaTJ1/PuHGXW57/8cdivvrq2xr3e32YMWMWM2bU7IbBd911u1VQ2rZtB19//Z1NkyMAVsGyZLrtqip9Wtb5973p2bOb1TV/KSmn+PbbuaxatdamY0DxiNIjjzxoOe0sJyeX335byK+//m7TNTe1JT8/nzVr1rNzZzSvv/4i3t5euLq6Eh4expYt28q0nznzixp98OLr68Pjj0+3nHZ45swZPvzwk2rfOPfAgRgOHIjh66+/xdPTg/bt29K+fTvCwzvSqVOYZfbEUaNGEB+fwMKFxZNNVOf/VulRMv1OEzlHYUlELnpnzpy76LuqM4W5u59rV9WRgYak9JupuryeaeDASEtQysvL45NPPrP7dTn1qWXLFkRF9QeK+3zmzC9YtmxltfYVGxtHXl4+Li7OuLm50qJFSJUDV9u2oZbH508ece21V1seb968lQ8++KTak4GMGTPaEpQSE0/wyitvceJE1U/fqysZGRns23eAvn17AdbhsfQIk6urS5ltbXHPPXdYglJsbBxvvvlehdcW2SIzM4sdO3ZbZpZzd3dn0qSJXHrpJQBERvazhKXSE1m4u3uU3ZmB0r/TNNW3yDm2jeOLiFyAjhw5N1V4hw7tK2h5TsnMVoDN10s1BKWvm/D19a2gZc2MGDHU8njmzC8uqqAE0KdPT8vjFSvWVDsoQfGn/Vu3brM8HzVqeJW2a9cu1PLzmpOTY7m2B4rvuVQy81lmZhbvv/9xjWZNLP16Z8yY1SCCUonSkzGU/oAjMTHR8thoMo+qatq0iWUE8cyZMzz//Mu1FpSMZGdnW93MtvSkDKV/p7Vt26ZKp22WngHv0KEjtVKjyIVAYUlELnrr12+yTIM8fPiQMjN3na9Pn56WacMTEhLtdi+lmig9TfDgwQPqbHSp9JTISUnJdXKMhqzk5qJQO6H6l18WWEYFL730Ei699JIKv3ctW7Zg6tS7Lc8XLfrLaiSladNz9SUmJpKbm1uj+kpPpX3+pAP21KlTGJ06hQHFp+bt33/uXkqbN28jPz8fKB4JLbnWyFalbxp85kym1exydaXkPlMAJ0+eC2bp6emWiVN8fX24+urxFe7H29uLcePGWJ5X5xRMkQuVTsMTkYteUlIyixcvZfTokXh4uPPii0+zbdsOjh9PsDp339XVhdDQNnTu3AkovnD7iy/mNMqLqrdu3W65KWavXj14883/cORILDk5xm+WS5+2ZIujR48REtIcgPvuu5N16zaW+4a89E1Xq8rDw50xY0ZXuC83N1eraZpL/P77ojp/Q1t6prWePbtbbn5aVceOxbN+/UbL88OHY5kz53tuumkSJpOJ2267iSuuuIw9e/aRmppKQUEhDg4OeHi406ZNa8LDO1pGFfbu3c/33/9Ubn1+fn6G/VSZn3/+1RLgXFzO7W/ChCtsvnnu6tXrSEw8UWm7IUMGEhQUWGk7Nzc3QkKC6dGjm6UfFi5cbBUYT59O5eeff+W6667G0dGRf//7X+zbd4DDh2OtJtUwsmnTFmJj4wCIjy/+feHk5ERwcDMef3w6Bw7ElNsHJdPnn8/d3Y2xYy+r8Lgmk4kmTQLo16+PZdny5aus2nz77VyeeurfODk5MXHiBPr06cXevfusXrujoyNNmgTQu3cPy3Vwa9asr/DGvCIXG4UlERHgyy+/wd3dnSFDBuLk5ETfvr3p27f89rm5ucyc+QXbt1fvwm17y88v4L///ZRp0/6Jq6srzZoF0axZUK0f56ef5tO9e1c8PNxp2rSJ1UQPtcHDw6PSN/hubm6GbZYvX1Uvn/6X6N27B717V31aaige9SwdlgAWLFhEWlo6t9zyN7y9vQkKCqwwOJjNZpYtW8nnn39d4YX/TZoEVCss/frrQsP9VjaaYeTQoSNVDktdu3a2ef+rV6/j22/nlln+00/zcXZ2Zvz4MTg6OhIREV5umCktOfmkJSxlZWUzb95vlj7s2rVztWp0d3e3+fvwxx+LWbt2g9WyAwdi+OCDj7nrrttxc3MjNLQ1oaEVn2a4bt3GGk9oInKhUVgSEaH44vv//vdTli5dwdChg+jYsT3+/v64ubliMpkoLCwkKyubxMQT7NoVzZIlyzh16rS9y66RnTt388QTzzFmzGi6dInA398PV9eKb7Jpq7i4Y/z7308xduxldOvWmYCAgCpPoiHlW716HZs2bWHw4IF069aZ0NA2eHl54eHhTl5ePpmZmSQlJRMdvZeVK9dUKYBciHJyckhNTSMm5hArVqxh587d5bb97rsfWbVqLcOGDaZTpzCCg4Nwd3e36Z5Dc+fO48CBg4wePYpWrVrg7+9X6/csMpvN5Obmcfr0aWJiDrN8+apy71W2fv0m9u07wMiRw+natTPNmwfj4XHuNZX0z4EDMRXuR+Ri5hAY2KrxnT8iIiIiIiJSxzTBg4iIiIiIiAGFJREREREREQMKSyIiIiIiIgYUlkRERERERAwoLImIiIiIiBhQWBIRERERETGgsCQiIiIiImJAN6UVkYtCaGhrOnRoh7e3NybTuc+JoqP3smfPPjtWJiIiIg2VwpKI2MTZ2YmPP34PV1dX9uzZx/PPv2JZd/vtNzNq1AgApk9/gvj4BHuVaeHt7cX9999Dly4R5bapSlh68slH6Ny5U6XtCgsLycnJITn5JAcPHmLNmvXs3bvfpprrw8SJE5g4cQIAH300kxUrVlvWNW3ahHfffQ0oDpMvvPCqXWqsb0OHDuLuu6dUe/u5c+cxd+48y/N33nmVwMCmAEyefHuN6ytP6brPr6E23HXX7QwbNhiA559/5aL6cGH48CGMHDmMFi1a4ObmWub1V+X3Qn5+PpmZWZw6dZqDB2PYsGEz0dF7a7XO0nXcf//DnDyZUqv7vxB4eLjz6acfkJeXT2LiCVatWsPvv/9JYWGhvUuTBk5hSURsEh4ehqurKwA7duy2WtetWxcATp5MaRBBCeDOO2+rMCjVNkdHRzw9PfH09CQ0tA2jRo1g/fqN/Pe/M8nLy6u3OkSkZm677SYuvfSSGu/H2dkZPz9f/Px8adculNGjR3L48BE+/PBTjh+Pr4VKxRYuLs60bt2SyZOvp1OncF5//R17lyQNnMKSiNikJBAB7Ny5y/I4KCiQZs2Czi6Prve6jHh5edKrVw8Ajh6N44033iM5+WSN97tq1VpOnEgqd72rqwstW7akW7fOODo6EhnZj5ycXGbMmFXjY9eHrKwsy+hEbfRXYxQXd4wNGzbbtM35owW///4nnp4etVmWodjYo5bvV22PWFysQkKCGTlyOFA8MrRmzXpOnkyp8P9DRb8X3N3dCA4OpnPncNzc3GjbNpQXXniKV155q1ZGnlesWG0Z8crKyqrx/i5E+fn5zJ07D29vbwYPjsLDw53evXvQrVsXdu7cXfkO5KKlsCQiNikJSxkZZzh8OLbMcoBduxrGH55mzZpZrk/aunV7rb3xX7VqLTt27Kq0Xc+e3XnkkQcBGDJkID/++EujCB9ZWdm1fipXY3Ps2PEa98HChX/WUjUVi42NIzY2rl6OdbGIiOhk+d2xaNFffP31t5VuU5XfC25ublx//TVcfvkoXF1dmTbtnzzyyFOkpqbVqN7Sp9GKsfz8Asv/6fj4BG699UYAOnfupLAkFVJYEpEq8/HxpnXrlgDs3r2HoqIiy7pu3ToDYDab2bWrZiNLHh7ujBgxlO7du9KyZQs8PT1xcXEGICcnl/T0dGJiDrNmzTo2b95WZvvS14qUmDBhHBMmjCvTti6u8SixbdsOYmIO0b59O0wmE507d2L58lVl2oWHd2TYsMF06NAef38/3N3dMJlMFBYWkpWVRWLiCXbt2sOffy4lNTW1wmM6OzsxYsRQ+vXrQ6tWLfH09MDR0dGmuiu7ZsnW6yNmzy4eUUtOPskDDzxitc7oe1UdZrOZrKwsjh2LZ926DSxZstzu1yJUdM1S6WvGylNYWEhmZhZxccdYvXody5evsvo/V6Kya5ZMJhPDhg0mKqo/rVoV/39ycir/z/+uXdG89NLrhuueeurfhssLCgo4cyaTI0diWb58FevXb6rwtZlMJiIj+xEZ2Ze2bdvg4+ONq6srZrOZ7OwcTp5M4cCBgyxdusLqQ5m6el3n8/HxtjyuzVPlcnJy+OKL2Xh6ejBkyEC8vLy46qpxfPbZ12XatmgRwhVXXEaXLhH4+/uVeW1vvvkemzZtBcr/P/nEEw9bTkP+44/FfP757CrVGRXVn6lT7wbg6NFjPPro02XaBAUFMmrUcCIiOhEUFIinpwcmk4m8vDzOnMkkLu4YmzdvY+XK1eTmln8KckCAP+PGjaFHj640adLE8ru+xBdfzLH64CEysh9DhgwkNLQ13t5eODs7n79Li8TEE0yb9liZ5aVPEy/9vRYxorAkIuWq6I3sgAH9GDCgX5nlJpOJGTPetTy3dYKATp3CeOCBe/H19TFc7+bmiptbIEFBgURF9Wf37j28++5/ycg4U+Vj1KfExCTat28HgJ+fr9U6R0dH7rzzNoYMGWi4raOjI97e3nh7e9OxYwfGjh3Np59+zurV6wzbN23ahEce+RctW4bU7otoBEwmE15eXnTqFEanTmFERUXy0kuvk5+fb+/Sqs3R0REfH2+6dImgS5cI+vbtzRtvvGsYmMrj6urKo49OIzy8Yx1WCk5OTvj5+dKzZ3d69uzOX38t59NPPzds27RpE/71r3/Stm2bMutMJhOenh54enrQpk0rLrlkGAsWLGL27O+s2tX16yo9Y6bZbK71/f/66++W//eDBg3g889nW31fBwzoxz333FFhEKiK339fZAlLgwcPZM6cH6p07eQllwyz2sf5xo4dzaRJ1xqGUxcXFwICXAgI8KdHj26MG3c5b7zxLnFxx8u07dQpjOnT78fDo/LTVU0mE1On3k1kZN9K21am9Acppb/XIkYUlkSkwQgKCrT6w1k8ohJNenqG5Y2EyWTC39+Pnj274+fnS5cuEUybNpX/+7+XLW1KrhVp2rSJZRavI0eOsnnz1jLHrOtrPAoKCiyPzx/hufnmSZY3TAUFBWzfvpPjxxOs3uC7urrStm0bIiLCcXV15Z577iAzM5Nt23Za7cvR0ZGHHrrfEpTOnDnD1q07SEk5ZTjCEhERXqXZ/epTRSN8Vfle+vr60Lt3TwIC/AkP78i1117FnDnf11m9tWXTpi2Gp9E5ODjg7+9P//598PT0oHfvHlx22UgWLlxc5X1PnDjBEigyM7NYv34jp0+nVrhNUlJyueuWL19lOJJoMpkIDGxK//59cHFx4ZJLhrFt2w7LyEcJV1cXq0CfnHySnTt3k5aWbgklzs7OhIQE0717N1xcnBk37nJSUk7xxx/nXndtv676Fhd3nJycXNzcXPH09KR161bExh4FwN/fj7vuuh1nZ2cKCgrYtGkrCQmJZUJbVSbR2bJlO/HxiYSEBOPp6cHAgZEsW7aywm2aNw+2BKy0tPQyH84MGzaYm26aBBSHjl27ojl69JglhDk4OODt7UWXLhGEhDQnKCiQhx9+kIcffsJqhMnFxYWpU+/Gw8MDs9nMtm07iYs7ZvU7E+DgwRgARo0abglKeXl5rFu3kZMnUyr88ODMmcxK+0ikMgpLIlKu+fMX4O5+7hO/q68eh5ubG2lpaSxYcO60iG7dOtO1a/FpeIsXLyU5+dybqZSUqk9hO3HiBEtQWrlyDR99NLPcP4Suri489th0wsI6EB7ekcGDo1i5cg1w7lqRiIhwyxvs0hfB16fSp3iUvvC6WbMgyzTrOTk5PPfcy5Y3S0b69evDv/51HyaTiVtumcz27Y9b9c2gQQNo06YVUBwmXnzxVTIzy7/Qe+LECY0qLFX1e/nttz/y5pv/wdvbi5Ejh/Htt3PrZGSgNm3atLXCa05++20hr7zyfzg6OjJ8+FCbwlJUVH/L49dee5v9+w/WqNbSEwmUt/7xx6cDMHz40DJhaeTIEZagtGnTVt5558NyT5eMiAi3nPZ39dXjWbRoieVnvrZflz1kZmbi5lY8s2hAgL/l//+AAf0sM47+9NN8fvppfo2O8/vvi5gy5RYARo4cXmlYKj2qtHjxUqvw4uzszKRJ1wLFH/C8+OJr7Nt3wHA/Dg4OPPbYQ3Tt2pmmTZswfPhQq8DbvXtX/P39AFi+fDWffPK/CuuKioq0PP7kk8/KHWEXqW0aexSRci1evIz58xcwf/4CVq9ei5ubG1A8ZXjJ8vnzF1hGQgoLC5kz53urdWvWrK/SsUwmE3379rbs56uvvqnwE8Pc3Dx++OFny/NBgwZU81XWHTc3N9q1a2t5Hh+faHncv39fy+kfS5eurDAoAWzcuNnypiQ4uBkdOrSzWl/61JQff5xXYVC6kGVmZnLgQPEn0R4eHoSENLdzRTUXH59AYuIJAFq2DLHp1KzSp7NWNINjbdm1K5rc3FwAw9PsBg0694b322/nVnhd2Z49+yzXK/n4eFvtr75fV10oHeK9vDwtj5s3D7Y8PnjwUI2Ps2LFajIyMgBo374toaGty23r5OTE0KHFo935+fn8+edSq/XdunW29P3mzVvLDUoARUVFVsG+e/cuVuubN29meRwTU/nrLP3BU2P9nkvjpJElEamS0vcqKj2Bg8lkIjw8DIBDhw6TnZ1Trf0HBwfh7l4cxk6cSKrSNUiHDh22PG7bNrRax60Lzs7OtGrVgokTJ1jeWJw6dZrdu/dY2oSGtrI8LjnNpDKHDh2xnHrUtm2oJRQU7+/cG8naeIPVmJW8MQTrN6G2iIqKtPokuyrqcrKQ9PQMWrQouTbLs9JTzkokJZ0kJKT4zfftt9/C119/W+eno6WnZxAY6Iq3t5fVckdHR1q3Lv65z83NrdLECcnJJy0hqUmTJhw6dASwz+uqSw4ODpbHpcPw+aekVUd+fj6LFy/j6qvHAzBq1IhyryeLjOyLt3dxKFmzZj3p6elW60t/+HPokPHEG6WVnv2zSZMmVutcXFwsj6vyOpOTT1qC5I033sCsWV8YXgclUtsUlkSkSkqHpdJv+tu3b4uHhzsAu3btKbNdVXl5nXtjVdVRkaysbMtjT08PHBwcbLr4vboefXSaTe3z8vL46KOZVp+iV+/1nmt3/gxOpUPBxTqqZKT0m9DGrPTPtS2zGy5atMQyRXK/fr3p1683iYknOHAghpiYQxw8eIjY2Lg6mTnw/Iv/PT09LbUXFVHpbIBgPfpQcsoa2Pd1NUaLFi1h3LjLcXZ2Jioqkq+++pacnLIfbJU+Bc9o6vvSv3c6deqIi0vF38PSgbn09686Fi1aQvfuXYHiGURfeeV5UlJOceBADAcPHiIm5hCHDh1p1JO6SMOksCQiVVJyfUt8fCKnTp0utdw4RNnK1umtz2cymXByciQ/v+afxNamPXv28dVX35SZ/rimr/f8N6LWp2bVfWC80NXGTWkbgkWLluDk5MTEiRMsI7fBwc0IDm5mmVwkNzeXffsOsGrVWtau3VBnAaP0lNBubq5VCkullQ6+Del11Ya6/pAnLS2dNWvWM2zYYNzd3Rg8OIrFi61PsWvRIoSIiHCg+He50aQjpX/P9OrVw3LT76qo6QcXW7Zs54MPPubmm/9mCW1NmgTQpEmAZWbWgoICDh48xNq1G1i+fFWVZv4TqYzCkoiUcdddt1supj9fSEiw5b4553vySet76Jx/b5kLxapVa8s9Z95sNpOTk8PJk6eIiTlkFSyl8aiNm9I2FAsW/MGaNesYMKA/ffr0pEOHdpYJBKB4xsXu3bvSvXtXrrxyLG+88V6juCaksb+u0lNWZ2bW/axtCxb8Yfm9PnLk8DJhaeTIikeVGoLVq9exdet2BgzoT+/ePenUKcxyZgMUf4hUcvuAK68cy9tvf0BMzOEK9ihSOYUlEWkQavqpr9lspqCgfj45XrVqLTt27KrRPmr6es8/xz8/P7/Up74XxqlnUntSU9NYuPBPFi78E5PJROvWLenQoR0dOrSna9fOBAT4A9CyZQseeOAeHn/8uTqv5957/1Ur+2lIr8sWpU+drY8PVeLijrNz5266detCmzat6NixveW6R2dnZ8uIXGLiCbZs2V7p/mbO/IIlS5bVZcmGsrKy+euv5fz113IcHBwICWl+9nvejq5dO9OsWRBQPOo0bdpUHnzw3zo1T2pEYUlEyti8eavVvVQGDRpAcHDxtQM//TTfMotTSEiw5SL4bdt2VmlGo/KcOXNuQofSnxRWxN39XLvMzKx6uV6pttT09aanZ1itO3Mm0zINr6enB6mpaTUvshylg96Fck3QxcRsNnPkyFGOHDnK4sXLAOjbtxf33vsP3NzcCA1tQ3BwEImJtTsKU/pautKn5NUWe72u6mjTprVlFCwzM8vwlLe68Ntvf9CtW/GsdCNHDreEpQED+uHpWRzeFi5cXO7v0tLfQ1dXF8M29amoqIjjx+M5fjye5ctXAcXXMz3wwL34+fni7+9HeHhHq0mJRGylqcNFpIxNm7ZaZvaaO3ee5U16XNwxvv/+J8vy0m865s371WobW09hSkg4YZlJr1mzoCrNYta+/bmZmQ4fPmLT8eztyJFzU4V36NC+SttU9HqPHDl3TdT504rXttJBz8/Pt06PJfVj06at7Nix2/K8ZEa02pSdnU1aWnGI9/DwICgosNaPcb76eF3VcdVVV1ger1u3od4+6NmxYxfHjhXPIFcckIrvazdy5HCgOAyVhA4jiYnnbn/Qpk35U5Db0759B1iz5tw9mBrK91waL4UlEalQq1YtLdNfnz+BQ8kMeTk5OTWerrqoqIgNGzYBxeed33jjDRWOWri4uFhdIL5q1doaHb++rV+/yTJCN3z4EFq1allh+z59elqmDU9ISCzT36UnI7j66iurPFpVHSXTNwOWU3ekcXN2dqJ163M/g6WnfK5N69ef+zm9/fabbbpnVHXU1+uqKk9PD/7xj1uJjCyekCArK6vGN5211YIFi4Di36FDhgyiVasWhIV1AGDp0hWW+2QZ2bx5m+WUtoEDIy2jVA1N6VtJnDxp3++5NH46DU9EKtS1a+n7K50LS8U3XA0FYO/e/bUy09RPP82nX7/eeHh4MGzYYMLCOrBzZ7TVfXNMJhN+fn707NnNctrZ3r37G93d3JOSklm8eCmjR4/Ew8OdF198mm3bdnD8eILV9Uiuri6EhraxzEZoNpv54os5ZT6JXr16HWPGjKZ165a0bduGt956ma1bd5CScsrq5pclSma9qo7Vq9dz3XVX4+LiwqhRIwgP78ixY8fJy9N1AQ3NkCEDKx3B8fDwoHv3LpZTbbdv31lnp3H++OM8+vfvg5+fL927d+Xdd19lx47dpKScqvB3SGZmltWkAw3tdQEMHhxFx47Go8Tu7u60aNGciIhwy/2F8vPzeffd/9b7JDCrV6/l+uuvwc/Pl3HjLrfc0LqgoIBFi5ZUuO3p06n8/POvXHfd1Tg6OvLvf/+LffsOcPhwLNnZ2RVuu2nTlhqdbti7d0/DGx2X5urqSkREuGUU/tix4xf9feek5hSWRKRCXbp0BoqvU9mzZ59leUREuGX66prcX6m0pKRkXn/9XR544F58fX1o3jzY6m72Rnbv3sO77/63UV2vVOLLL7/B3d2dIUMG4uTkRN++venbt/z2ubm5zJz5Bdu37yyzrqCggDfffI9HHnmQkJDmeHt7M3TooDqpOzU1lZkzv+DOO2/D0dGRVq1aVjoyJvYxZMhAunbtXOX28fEJfPzx/+qsnvT0DF588TUefPBeWrQIwdfXt0qjk8nJJ8uEpYb0uqA4LFVVXNwxPvpoZplbCtSH/PwC5s6dx5QptxAQ4G+ZBGPx4qVW16qW56ef5uPs7Mz48WNwdHQkIiK8Sh++JCefrFFY6tOnJyNGDK1y+9OnU3n33Y8a5d8GaVgUlkSkXCaTiU6dwgDKfHJY3k1qa2rv3v1Mn/44I0YMpXv3rrRs2QJPTw/L6Tq5ubmkp2cQE3OYNWvWs3nz1kb7x7CwsJD//vdTli5dwdChg+jYsT3+/v64ubliMpkoLCwkKyubxMQT7NoVzZIlyyr8FDopKZnHHnuWSy4ZRv/+fSx9V3qK4tqycuUajh+P5/LLLyU8vCO+vr51ctG+1K28vHwyMzOJizvGli3bWLp0ZZ3PHHb8eDyPPvoMUVH96du3N23atMLX17fGNy0traavq/RobE3//+Tl5ZOdnUVKymkOHjzE5s1b2blzd+Ub1qElS5bh4+PN6NEjcXQ0sX79Jr7++rsqb//ddz+yatVahg0bTKdOYQQHB+Hu7l7m/m/1qaCggMzMTOLjE9m+fSdLliwr9wbdpe9zZzTyLlKaQ2Bgq8b5LkNERESkDowcOZwpU24BimeQ+/rrb+1ckdSm0aNHcuutNwLFkxN9++2Pdq5IGjKNLImIiIiUEh29F7PZjMlkYvToS/D09CAl5RTLl6+q0qlq0vA4Oztx5ZVX4O3tbXXK5O7de+1YlTQGCksiIiIipSQkJLJ48TJGj74EZ2dnhg8fAhSHKIWlxsnZ2dlqBlWALVu26x5MUimFJREREZHzfPbZV8TGHuWSS4bRsmWI5Say0rjl5+eTmHiCVavWWqZRF6mIrlkSERERERExoJvSioiIiIiIGFBYEhERERERMaCwJCIiIiIiYkBhSSo0e/YsOnXqaO8yGiUXF2e6dw/TjTqrSf1XM+q/6lPf1Yz6r2bUf9WnvqsZ9Z8xhSWpVE3vXn6xcnQ04eDggKOj+q861H81o/6rPvVdzaj/akb9V33qu5pR/xlTb4iIiIiIiBhQWBIRERERETGgsCQiIiIiImJAN6WVCs2ePYtpUyPYt9fL3qWIiIiIyEXMN7BbvR9TI0siIiIiIiIGFJZEREREREQMKCyJiIiIiIgYUFgSERERERExoLAkIiIiIiJiQGFJRERERETEgMKSiIiIiIiIAYUlERERERERAwpLIiIiIiIiBhSWREREREREDCgsiYiIiIiIGFBYEhERERERMaCwJCIiIiIiYkBhSUREREREqiSfCeThV+qrCXn0oZDvy92mgHvO26airyDyicLMonp8VeVTWBIRERERkWoqBGIo5D6KOF4L+8ujiD0UcAdFFNbC/mrGyd4FiIiIiIhI4+DE2xSRYXlexDIKeZrikLMNB1qU2caRxzFxT5X2b2YWZj4D0s9++ddG2dXWYEaWLrlkGLNnz2LMmEsN1/v5+fLVV59y33131ltNEydOICIivN6OJyIiIiLSkDnQFhPdLV8OjLKsKyK1nG1aWW1T0VcR+85u1RYHOwclaEBhaf36TRQUFNCvXx/D9f3798VkMrF69dp6q2nixAl07typ3o4nIiIiInKxKuRriih+r+/IvXaupliDOQ0vMzOTbdt20rt3D3x8fEhPT7daP2BAP9LS0tmxYzcA3bt34eqrr6Rlyxa4u7uRknKK7dt38u23P5KZmQmAu7sbt9wymd69e+Lt7QXARx/NZM2a9UyefB39+vXB398Pk+lcZvz99z+JjT3K3XdPAYoD08SJEwBYvnwVM2bM4sMP38LPz9eyTUFBAUlJyfz660KWLVtpWf7OO68SGNjU6nWkp2ewYcMmvvrqW/Ly8gC4667bGTZssFW7nJwc9uzZx+efzyYpKdmyvF27UCZNupY2bVrh6enJ6dOp7N27nzlzvufUqdMAPPnkI2VCXlpaOrt2RfP5519z5kxmlb4nIiIiIiL1oYjTZ0/nAwc6YeJW+xZ0VoMJSwCrV6+jb99e9OvXmyVLllmW+/n5ERbWgcWLl2I2m+nYsT2PPvoQu3ZF8+OP88jLy8ff34/Roy8hIMCf119/F4AbbphIVFQkP/88n4yMMwAcOBDDhAlXMHr0SH79dSHJySetajh6NI4zZzKZPfs7Jk++ni1btrN163YAEhISAZgz53tcXFws27i7u3HVVeO5887bOHkyhV27oi3rjh07zh9/LAHAwQGCg4MZNWoEALNmfWlpV1BQwOefz7Y89/HxZuTI4Tz00FQeffQZioqKCAxsytNPP8rx4/H88ssCcnJy8fLyYtSo4Uyf/gBPPPEcRUVFAKSmpjF37jyr/Y0fP4aCggJmzJhVze+QiIiIiEjtKw5KKQA48joOONu3oLMaVFjasmUbWVnZZcJSZGTJKXjrABg7djRpaem88spbFBaemyUjLy+PSZOutYxMdeoUzoEDB/n551+tjtO2bShpael8880P5daycuUaJk++nsOHj1jVUrKuRFBQINOn3w8UjwYNGNDPKiylpJwqsz0UMXr0SL788hvy8/MBMJuLyrSLjY1j+vT76dIlgl27orn00hGYTCZefvktMjLOXViXlJTM1Kl30a5dW2JiDgGQlZVVZn8hIc3p3r1rua9ZRERERKS+mVmHma8AMHE9JgYbtnN3d63V42Zn51bapkGFpfz8fDZu3MygQQPw9PQgMzMLKD4F78SJJA4ciAGKR2eSk0/i6+tjtX1OTg4AzZoFkp6ejru7G6dPny5znIMHY+jduwfPPPMYW7Zs48CBGGJiDpGfX2BTvV26RHD//feQk5PDs8++xMMPP0BAQOUXoh0/noCTkxNBQYEcPx5fbrv4+OJ1wcHN2LUrmuDgYNLTM3B2drI6Tl5e8Tc6KCjQEpaMZGdn4+/vV8VXJyIiIiJSt4oooJBpQBHggyMvlNs2LCy0Vo+9ffu+Sts0qLAEsGbNeoYNG0zv3j1ZuXIN/v5+dOzYnnnzfrO08fBwJzCwFe+//4bhPpycKn5Z8+f/TlFRESNGDOVvf7sOgJycXNat28DXX39rCWkVGTVqOLfcMplDh47w5pvvkZ5ePNLj4OBQ6bYlo2Hu7m4VtisoKGnnDhS/7oAA/3Jft7Nzg/t2ioiIiIiUy8yHFFF8VpYjT+JAULlt9+8/Uk9VndPg3l3v2hVNamoa/fr1YeXKNURG9iszC57ZbObw4SP88MM8w33ExR2r8BiFhYXMm/cb8+b9RlBQIOHhHenduyfDhw/BZDLx0UczK9x+9OiR3HrrjaxZs54ZM2baPCLl6OgIQHZ2ToXtnJxK2mUDxa87JeWU1bVOpcXGHrWpDhEREREReykijkJeAcCBHpi4o8L2VTltrrY1uLBUVFTE2rUbGDlyGK6urkRG9uXw4SPExyda2pw8mYKvr49l4oWaSEpKJikpmZUr1/Dii8/QokUIcG5Ux2ik6NprJ7Bnzz7ef39GtY7ZokVzCgsLrWa5MxISUlxLYuIJoPj6p7Zt27Bz524KCmwLaCIiIiIiDUkBjwCZgAlH3sSh4dzVyKLBhSWAZctWcNllI5ky5RY6dmzPF1/Mtlq/ePFSHnjgXqZPv5/du/eQl5dvWVdUVMRffy2vcP+dOoVZQlGJwMCmtG7dkoULFwPFU5mfOnWa/v37kJaWjtlsJiEhkejovWRn5xAQ4M/ll4+yGlVycyt7Wl2TJgGMHDkcKJkNrxmjRo1g2bKVlskdAEwmB0s7AG9vL0aOHM6xY/Hs3r0HgL/+Ws6gQQN4/PHpbN68lZwc63S9atUacnPzKnztIiIiIiL2ZmYBRfwOgIm/Y8L4Xqv21iDDUlzccX7++VfGjh1NdPRe/vprhdX69es38frr7zB+/FiuueZKPD09LesKCwsrDUtDhgxkxIihludms5n09AyWL1/F99//ZFn+4Yef8Pe/T+aWW/6Go6Mjy5evIjp6L5988hk33zyJyZOvr/T6qJYtWzBlyi2W5ydPpvDXX8uZM8d6Jj4nJyerdhkZZ9i3bz+ffz7bMh34gQMxvPjia1x99XjGjRtTZoKLrVu3KyyJiIiISINWRBYF/PvssyY4nr2/UkPkEBjYqsjeRVyo3nnnVeLjE3jllbcqbHfXXbcTFRXJrbfeVU+VVd3s2bOYNjWCfXu97F2KiIiIiNhREWco4vyZlw9TwN8BcOQxHBhjWeOAFw60K7OfAp7GzLtnt3kfR26q0vF9A7tVr/AaaJAjSyIiIiIi0rAUsZUCxpe7vpD/AP+xPHdgEM78ZtXGTDRmPjy7fgAmbqyTWmuLwlIdeuCBR6rUbsaMWcyYMauOqxERERERsZ8iis7eU6kAcMKRN3Cg8tvu2JPCkoiIiIiIVMrEEFxIrfb2DjjgzMLaK6geNLz5+URERERERBoAhSUREREREREDCksiIiIiIiIGFJZEREREREQMKCyJiIiIiIgYUFgSERERERExoLAkIiIiIiJiQGFJRERERETEgMKSiIiIiIiIAYUlERERERERAwpLIiIiIiIiBhSWREREREREDDjZuwBp+AKa3Ypvyj57l9HouLu7EhYWyv79R8jOzrV3OY2O+q9m1H/Vp76rGfVfzaj/qk99VzPqP2MaWRIRERERETGgsCQiIiIiImJAYUlERERERMSAwpKIiIiIiIgBhSUREREREREDCksiIiIiIiIGFJZEREREREQMKCyJiIiIiIgYUFgSERERERExoLAkIiIiIiJiwMneBUjD9/KJYzglx9m7jMbp6EF7V9C4qf9qRv1Xfeq7mmng/Tc2sJW9SxCRRkIjSyIiIiIiIgYUlkRERERERAwoLImIiIiIiBhQWBIRERERETGgsCQiIiIiImJAYUlERERERMSAwpKIiIiIiIgBhSUREREREREDCksiIiIiIiIGFJZEREREREQMKCyJiIiIiIgYUFgSERERERExoLAkIiIiIiJiwMneBYiIiMjF515gY6nnjkAL4B/A5RVsdzVwrNRzZ6AN8CAQWbsliohoZElERETsrxA4CvwfcMKG7fKBg8ATQE4d1CUiFzeNLImIiEi9exzILPV8A/AuxeFnL9CsnO3eBPJKPf8NmAOkURy2wmq9UhG5mCksVeDJJx/Bz8+X6dOfuKCOJSIiYm8tz3vuSHFYAkivYLu25z1PojgsAWTUQl0iIqXpNDwREREREREDGlmqoXbtQpk06VratGmFp6cnp0+nsnfvfubM+Z5Tp05b2g0eHMUVV1xO8+bBuLg4W5Y///wr7Nmzz3DfgwYNYOzY0TRvHoyTkxMnT6awfv1GfvxxPvn5+QD4+flx22030aVLJzw8PKz2GRISzOTJ19OxY3u8vb0t+12+fBUzZsyqi+4QEREREblgKCzVQGBgU55++lGOH4/nl18WkJOTi5eXF6NGDWf69Ad44onnKCoqYtCgAdx77z9Yu3YDy5atpKCgwLKPhATjy1ijoiK577472bBhEytWrKGwsICgoEDGjBmNu7s7n332NQB33PF3OnZsx88//0p2do5ln56enjz11KNkZmby229/kJmZVeqYiXXYKyIiIiIiFwaFpRq49NIRmEwmXn75LTIyzp0pnZSUzNSpd9GuXVtiYg4xduxl7N9/kPfe+6jK+x47djRHjhzl7bc/tFru7u7OsGGDLWEpIiKc9es38uuvC63aXXbZKHx9fXjuuf+QmGjLvEIiIiIXNnd3V3uXUC5XVxerf6Xq1Hc1czH2X3Z2bqVtFJZqIDg4mPT0DJydnQgI8Lcsz8sr7vigoEBiYg7RvHkz1q7dYNO+mzdvxs6d0Vb7BcjMzMLV1RU/P19SU9Nwd3ezGqkqvX1BQYGCkoiIyHnCwkLtXUKl2rQJsXcJjZb6rmYupv7bvt34UpjSFJZqwMPDnYAAf95//w3D9c7Oxd3r5uZGYWGhjfv2IDKyL5GRfQ3XOzlV/K1zdXXFbC6y6ZgiIiIXg/37j9i7hHK5urrQpk0IsbHx5ObmVb6BWKjvakb9Z0xhqQbMZjMpKaeYNetLw/WxsUcByMnJwdHR0eZ979ixiz//XGq4Pi2toolVITc3F5PJwaZjioiIXAyqcuqNveXm5jWKOhsi9V3NqP+sKSzVQErKKdq2bcPOnbsNT4UrkZBwghYtbBvSPHkyBXBg69bt1aotIeEETk5OBAc306l4IiIiIiLVoLBUCS8vL666apzhumXLVjJo0AAef3w6mzdvJSfHOoWvWrWG3Nw8Fi78k3vuuYN//vMuDhyIsQpWmzdvIzU1tcy+//zzL2688QbuuecODh06YrVNVlY2a9eur7Du1avXcvXV45k2bSorV64hK8t6Nrzo6L1VefkiIiIiIhcthaVK+Ph4c/311xiuu+22e3jxxde4+urxjBs3Bl9fH6v1W7duJzc3j5Ur12AymRgz5lL69euNs/O5+yzFxycYhqXffvuDjIwzjB49kj59euHh4W5Zl5h4otKwdOZMJs8//wqTJ1/HuHGX4+3tZVm3fPkqhSURERERkUo4BAa20iwAUq7Zs2fhNXUqTnsVrkREpHZkAXHnLTsO/Pvs4zuBoaXWeQCtgDTg/DsFbgNeP/v4CSCi1DpfINjg+GMDW9lcc31xd3clLCyU/fuP6LoRG6nvakb9Z0wjSyIiIlKv9gB3V7D+47NfJXoDM4AVwP9VsN2L5z2/Ani2GvWJiJQw2bsAERERERGRhkgjSyIiIlKv+gAbq7Hd+LNfIiL1RSNLIiIiIiIiBhSWREREREREDCgsiYiIiIiIGFBYEhERERERMaCwJCIiIiIiYkBhSURERERExIDCkoiIiIiIiAGFJREREREREQMKSyIiIiIiIgYUlkRERERERAwoLImIiIiIiBhQWBIRERERETHgZO8CpOF7tFlLolMy7V1Go+Pu7kpYWCj79x8hOzvX3uU0Ouq/mlH/VZ/6rmbUfyJyIdHIkoiIiIiIiAGFJREREREREQMKSyIiIiIiIgYUlkRERERERAwoLImIiIiIiBhQWBIRERERETGgsCQiIiIiImJAYUlERERERMSAwpKIiIiIiIgBhSUREREREREDTvYuQBq+Uyc+Iy3Zy95lNDppQOJRe1fReKn/akb9V33qu5ppDP3nG9jN3iWISCOhkSUREREREREDCksiIiIiIiIGFJZEREREREQMKCyJiIiIiIgYUFgSERERERExoLAkIiIiIiJiQGFJRERERETEgMKSiIiIiIiIAYUlERERERERAwpLIiIiIiIiBhSWREREREREDCgsiYiIiIiIGFBYEhERERERMaCwJCIiIvUunwnk4Vfqqwl59KGQ7yvcLo9e520XRD4DMbO0nioXkYuJwpKIiIg0AIVADIXcRxHHbdgujyKiKWAKRWTXVXEicpFysncBIiIicvFx4m2KyLA8L2IZhTxNcfjZhgMtDLdz5huKyLU8NzMHM/8FTlHEQRzoVseVi8jFRGGpljz55CN07tzJapnZbCYtLZ19+w7www8/Ex+fYKfqREREGhYH2uJQ6rkZJ+BpAIpIrWC7cKvtIP5sWAIq2E5EpDoUlmpRamoac+fOs1rm5eXJiBFDeeqpR5g+/UkyMzPtVJ2IiIiIiNhCYakWZWVlsWTJsjLLjx9PYNq0fxIe3pGdO3cxYcI4BgzoR1BQIIWFhSQmJvH774tYsWK1ZZuOHdtz002TCA1tjbOzMwCTJ98OQPfuXbj66itp2bIF7u5upKScYvv2nXz77Y9kZmbi6+vDf//7dpk6cnJyWLt2A5988lldvHwRERERkQuKwlI9yM0tPrfa0dGRW26ZzNChg1iyZDnx8fGYTCY6dmzP3XdPIScnhw0bNuPi4sK0aVM5deo0X3/9LYWFZsu+OnZsz6OPPsSuXdH8+OM88vLy8ff3Y/ToSwgI8Of1198lKyubmTO/KFPH4MFRjBgxlG+++YGMjDP19vpFRERERBojhaVaZDKZCAjwt1rm6enJpZdegtls5sSJJEaMuIc//ljCl1/OsbRZtOgv2rYNZfjwoWzYsJkWLZrj6+vD7NnfsXLlGqv9jR07mrS0dF555S0KCwsty/Py8pg06Vp8fHxIT08vM8LVp09PWrVqya5d0QpKIiJyUXN3d7V3CeVydXWx+leqTn1XMxdj/2Vn51baRmGpFgUHN+P9998oszwzM4tPP/0cBwcHTCYTKSmnyoSqtLR0goICAXBzcwOgoKDA4BjBJCefxNfXx2p5Tk4OAM2aBZKenm617pprruSaa65k27advPfeR9V/gSIiIheAsLBQe5dQqTZtQuxdQqOlvquZi6n/tm/fV2kbhaValJJyilmzvrQ8N5vNnDlzhqNHj5Gfn09ERDgAN910AzfddEOZ7ZOTT1Z6DA8PdwIDWxmGMgAnp3PfUjc3N+699w769u3NvHm/8d13P1JUVGTryxIREbmg7N9/xN4llMvV1YU2bUKIjY0nNzfP3uU0Kuq7mlH/GVNYqkW5ubls3bq93PVmc/G1R7/8soB9+w4Ybl8Zs9nM4cNH+OGHeYbr4+KOAdCsWRAPPTSVwMCmvPfeR6xdu6EqL0FEROSCV5VTb+wtNzevUdTZEKnvakb9Z01hqR6lpJwCIDMzs8JQVZGTJ1Pw9fWpcHtvb2+effYx8vLyefbZ/xAbe7RaxxIRERERuZgpLNWjkydT2LJlO1ddNR4fHx9OnEiyOi3u+PF49u7dX+E+Fi9eygMP3Mv06feze/ce8vLyLeuKior466/lhId3xNfXl+XLV9GhQzs6dGhntY9t23ZYgpuIiIiIiBhTWKpn7733EePGXU5UVCSBgU0s91ACWLp0RaVhaf36Tbz++juMHz+Wa665Ek9PT8u6wsJC/vprOXv37uPAgRgGD45i2LDBZfbx2mvvKCyJiIiIiFRCYamWvPDCq1Vql5uby9y585g71/iaI4A9e/ZZbkBrZMuW7WzZUv5peGfOZPLMMy9WqR4REZH6VsQZijh03tLDpR4fw8wOyzMHvHCgHUWcpoi48/YVW+rxYcz4ltrOHwda1WbpInKRUVgSERGRelXEVgoYX+76Qv4D/Mfy3IFBOPMbZhZQyH0VbHe/1XMTf8OJ/9a4XhG5eJnsXYCIiIiIiEhDpJElERERqVcmhuBCqs3bOXIjjtxY+wWJiJTDprDUuXMn8vPzOXAgxnC9h4c7Y8aMpn37tuTl5bFrVzRLl66ksLCwVooVERERERGpLzaFpccfn05y8kn+9a9Hy6xzdnbm2WcfJySkuWVZ3769GTJkEC+88Ar5+QU1r1ZERERERKSe2HzNkoODg+Hy6667ipCQ5pjNZlasWM2CBX+QkZFB+/ZtGTduTI0LFRERERERqU+1MsGDs7MzI0YMA+C7737k44//x+zZ3/Pyy28B0L9/39o4jIiIiIiISL2plbDUt28v3N3dKCgoYMmS5ZblsbFHyczMpFmzwNo4jIiIiIiISL2plbDUu3cPAPbtO0B2drbVuuzsHFxcXGrjMCIiIiIiIvWmxmHJwcGB7t27AbB9+84aFyQiIiIiItIQ1DgshYV1wNPTA4Bt2xSWRERERETkwmBTWMrOzsbLy9NqWWRk8eQNyckniY9PqL3KRERERERE7MimsBQXdxw3Nzd69iw+7S4gwJ8hQwYBsGrV2tqvTkRERERExE5suintqlVrCQvrwIMP/pMjR2IJCQnG3d2N7OxsFi9eWlc1ioiIiIiI1DubRpb++ms569dvxMnJkQ4d2uHh4YHZbGbmzC9IS0s33Ka8m9iKiIiIiIg0ZDaNLAG8994MFi9eRvv2bcnLy2f79p2cOJFUbvunnnoBR8damaFc7CSg2a34puyzdxmNjru7K2Fhoezff4Ts7Fx7l9PoqP9qRv1Xfeq7mlH/iciFxOawBLBnzz727Knam+f0dOMRJxERERERkYbM5rDk5ubGkCEDCQkJBuDEiSRWr15HRsaZcrfx9PQgMzOr+lWKiIiIiIjUM5vCkpeXJ//3f08SFBRotXz8+LE88cT/kZqaWmabFi1CeOihqUyb9liNChUREREREalPNl1MNG7cGIKCAklNTWPduo2sX7+RtLR0fH19GDv20jLte/bsznPPPV4mXImIiIiIiDR0No0sde/eFbPZzNNPv8CpU6cBaNq0CW+//QrdunUFvre0HTfucq6//hpMJhM7d+6u1aJFRERERETqmk1hyd/fj4yMM5agBHDyZAppaekEBjYFwNHRkX/841YGD44CYPny1cyc+XktliwiIiIiIlL3bL5mKSXlVJnl+fn5+Ph44+PjzUMPTaV9+3YAzJ07j59+ml87lYqIiIiIiNQjm8JSRTeYdXBw4IUXniYgwJ/CwkI+/fRzVq5cU+MCRURERERE7KFa91kqT0CAP9nZObz99gfs3r2nNnctIiIiIiJSr2olLGVknKFp0yacOnWaV199m2PHjtfGbkVEREREROymVsLSxx//jy5dIli1ag1nzmTWxi6lAXn5xDGckuPsXUbjdPSgvSto3NR/NaP+q74G3ndjA1vZuwQRkYtCrYSluLhjxMUdq41diYiIiIiINAg2h6WmTZvwxRcf27RNUVERf//7XbYeSkRERERExG6qNbJkMplquw4REREREZEGxaaw9MILr9ZVHSIiIiIiIg2KTWFp7979dVWHiIiIiIhIg6Lz6URERERERAzYFJYefPA+br/9ZpvW3X77zTz44L3Vq05ERERERMRObDoNr2/fXpw8mWLTuu7du9K0aZPqVSciIiIiImInOg1PRERERETEgMKSiIiIiIiIAYUlERERERERAwpLIiIiIiIiBhSWREREREREDNg0G56IiIhUrAhYCfwB7AGSgZyz69wAH6ADMBi4AvCwQ40iIlI1CksiIiK16CmKg5KRnLNfScAa4CvgHSC0XioTERFb2RyWnJyc6NixfZXXOTs7V68yERGRRmY154JSd2ASEMK5P7aFwGlgC/A9EA88AswBHOu1UhERqQqbw5Kfny/PPPOYzesuNm3atOaGG66hbdtQfH19yqz/+9/vJD+/oNL9NG3ahHfffY05c35g/vwFdVGqiIjUko1n/3WieMTIq5x2g4AewEPAYWAVMKzOqxMREVvpNLw64O3txeOPP8SZM5n89ttCsrNzyrQpKCis0r7OnMlk5swvOHgwprbLFBGRWpZ+9t9Ayg9KJYYCvkAasBmFJRGRhsimsHTTTXfUVR0XlLCwDnh7e/PBBx+zY8duwzYhIcG8/vpLVstycnKJizvGV199w4EDxeHIy8uTKVNuYc6cH4iNjbOMNJVWWFhIcvJJFi78k0WL/gIgKqo/U6feXea4aWnpfP/9T/z11/LaeKkiIlIDQRSHpQR7FyIiIoY0slQHSkaSIiP7s2fPfvLz88u0SU1NY+bML6yWNW8ezOWXj+KRR/7FtGmPkZGRUe4xNm7cwo4duwBwcICIiHBuvfUm4uKOs2fPPmJiDpfZP8C1117FZZeNVFgSEakD3mf/PUXxRA5ulbQv+SN8ps4qEhGRmrApLE2YMI5Vq9aQknKqruq5IOzZs4+dO3czYsQQIiP7sG3bTrZs2ca2bTvIysoGICsrmyVLllm26d69K5MmXUtaWjr+/n5069aZNWvWl3uMgwcPWW2/fPkqIiP70b17V/bs2UdSUrLVeoCJEyfg7e3FokVLavPliojIWd3O/psLPA5cBwRU0L7kJG2zjcdxd3e1cYv64+rqYvWv2Eb9V33qu5q5GPsvOzu30jY2haXrrruKa6+dwN69+1m5cg3r128iN7fyg1xsioqKePnlNxk8OIphwwYTGdmXgQMjyc/PZ8OGzcye/R2nT6da2o8dexl/+9u17Nmzj6+//pb//Oc5AgL8bTpmfn4BBQWF+Pn5llnn7u7GPff8g969e/DTT/P56af5NX2JIiJiYDgQQfH9lVae/aoLYWGhdbTn2tOmTYi9S2jU1H/Vp76rmYup/7Zv31dpG5vCUlZWFh4eHkREhFtO+9q8eQsrV661nBImxYqKili5cg0rV67B09OD7t270q9fH6Ki+hMW1oF///tp8vPzueOOvzNs2GAWL17KZ599bQlJDg6mWqkjOLgZDz00lSZNAnj33f+yYcPmWtmviIiU5QR8BHwDLAOOAlkU36i2Ig42Hmf//iO2llZvXF1daNMmhNjYeHJz8+xdTqOj/qs+9V3NqP+M2RSW7r77Qbp370pUVH/69OmJm5sbUVGRREVFkpaWzurVa1m5ci1xccfqqt5GKTMzi7VrN7B27QZGjRrO7bffQqdOYQwfPpi+fXvz5Zdz+P33P2v9uD17duO+++4iMzOTZ555Sd8XEZF64AHcfvarMpOBA2e3sUVVTh2xt9zcvEZRZ0Ol/qs+9V3NqP+s2RSWzGYz27btYNu2HTg7O9GzZw8GDoykR49u+Pr6MHbsZYwdexlxccdZuXI1q1evIy0tvfIdX0RSUk4D0KxZEP379+XHH3+pk6DUuXMnHnrofvbu3c+77/6XjAxdPiwi0tCcPvtvoF2rEBGR8lR7Nrz8/AI2btzMxo2bcXV1pW/fXkRFRdKtW2datWrB5MnXc8MNE1m9eh1ff/0tmZlZtVl3g+bs7MzQoYPKLPfw8GDkyGGkpJwiOnoPUDzN+KhRwyk6e46Gl1dld+aomr59e+Ho6MjOnbvp379vmfVLl67AbLb1kmIREaktscDJs4+72LMQEREpV61MHZ6bm8vq1etYvXodHh7u9O/fl6io/kREhDN06CD8/Hx59dW3a+NQjYKHhztTptxSZnl6egYxMYeYPft7jh+P56uvvmHMmNHceutNmEy1c41SibVrN9CnTy8mTbrWcP2qVWs1OYeIiJ0UAu+ffewOXGLHWkREpHwOgYGtKrvutNr8/Hx5883/UFQEU6bcW1eHkTo0e/YsvKZOxWnvXnuXIiLS4BUAMRWszwEOAb8AJdMiPQRMsvE4YwNb2V5cPXF3dyUsLJT9+4/ouodqUP9Vn/quZtR/xurkprTNmgURGdmXqKhIXFxciI2Nq4vDiIiINCipwE1VbOsI/APbg5KIiNSfWgtLwcHNiIzsR2RkX1q3bmlZnpJyio8//l9tHUZERKRRMgHeQHOgD3AN0NquFYmISGVqFJZCQpoTGdmXyMi+tGzZwrK8qKiI3bv3sGLFatav30RhYWGNCxUREWnomgIb7V2EiIjUGpvDUsuWLYiM7Ev//n1o0cL6Dr9xccdZtWoNq1evIzU1rdaKFBERERERqW82haXXXnuB5s2DrZYV34x2HStXrtFNT0VERERE5IJhU1gqCUp5eXls2rSVVavWsHNnNEVFdTahnoiIiIiIiF3YFJaio/eycuUaNmzYrHv0iIiIiIjIBc2msPTSS6/XVR0iIiIiIiINisneBYiIiIiIiDRENo0s3XHH36t1kKKiImbO/KJa24qIiIiIiNiDTWFp+PAh1T6QwpKIiIiIiDQmNoWllSvX1FUdIiIiIiIiDYpNYWnGjFl1VYeIiIiIiEiDogkeREREREREDNg0slSiRYsQQkKaA3DiRBJHj8bValEiIiIiIiL2ZlNYcnBw4P7776Zfvz5Wy3fv3sNrr71DQUFBmW1cXV245547ePvtD2tWqdjNo81aEp2Sae8yGh13d1fCwkLZv/8I2dm6ibOt1H81o/6rPvWdiIiUsOk0vNGjR1qCUlpaOunpGQB06RLB6NEjy7Rv0iSAZ599gr59e9dCqSIiIiIiIvXHppGlAQP6AfDyy2+ya1c0AD16dOPhhx+gb99eLFjwh6VtWFgHHnzwPnx8vDl16nQtliwiIiIiIlL3bApLgYFNyczMtAQlgO3bd5KZmUWLFs0ty4YNG8xtt92Mk5MjR48e47XX3q61gkVEREREROqDTWGpvFGi7OxsAgL8AbjppklcfvkoAHbtiubttz8kJyenFkoVERERERGpPzaFJZOp/EucTCYTjzzyL7p37wLA8uWrmTnzc8xmc80qFBERERERsYNqTR1enpKgNHfuPH76aX5t7lpERERERKRe1UpYysvLA6CwsJBPP/2clSvX1MZuRURERERE7KZWwtK8eb8RGdmXX39dyP79B2tjlyIiIiIiInZVK2Fp9ep1rF69rjZ2JSIiIiIi0iDYHJZ8fHx49NFpNh/o5ZfftHkbERERERERe7E5LLm4ONO1a+e6qEUaqBNvPkqys4O9y2iUjtq7gEZO/Vcz6r/qa+h9FzjyVnuXICJyUbApLP344y91VYeIiIiIiEiDUuOw5ObmhoeHOw4ODhQVFZGdnU12tm5CKyIiIiIijVu1Jnjw8/PjqqvG0bdvL/z8fMusT0tLZ/Pmrfz886+cOnW6xkWKiIiIiIjUN5vDUvv27Xj44Qfw8vIst42vrw+XXDKMyMi+vP76uxw4EFOjIkVEREREROqbTWHJ3d2NBx+8Fy8vT6Kj97Jq1VpSUk5RWFh4bodOTjRpEsDQoYMID+/Igw/ex8MPP0FWVnatFy8iIiIiIlJXbApLI0YMw9/fj40bt/DOOx9W2Hb58lVMn34/PXt2Z8SIofz22x81KlRERERERKQ+mWxp3KtXdwB++OHnKrX//vvidj17drepKBEREREREXuzKSy1bNmCgoICjh+Pr1L72NijFBYW0rJlSLWKExERERERsRebwpKnpwdpaek2HSA1NQ0PDw+bthEREREREbE3m8KSyWSiqKjIpgMUFRXh6Oho0zYiIiIiIiL2ZlNYEhERERERuVgoLImIiIiIiBhQWBIRERERETFg032WAJo2bcIXX3xc5fYmk/KYiIhcRIqKYPlaWPAXRO+HpBTIySle5+YGvt7QsS0MHQBXjgYPd/vWKyIi5bI5LIECkIiISLke+w8sWGK8Lien+OtEMqzaAJ9/Dx++BG1b12+NIiJSJTaFpRdeeLWu6hAREWn8Vq4/F5R6doEbr4EWweB09s9tYSGcSoVN2+GbeXA8Af71DMz9FDRzrIhIg2NTWNq7d39d1VFnnnzyEfz8fJk+/QnD9bfffjOjRo1g8uTb66We2bNnsXjxUmbN+hKAd955lfj4BF555S0A2rRpRd++vfn990VkZWXXS00iIlJL1m8t/tfJCT54Cby9jNsNiYReXeH+p+DQUVixHkYMrL86RUSkSnQ+XT2bOfMLVq9eV+76Nm1aM3HiBN3IV0SkMUrPKP43qEn5QanE8IHF1y8BbNxWp2WJiEj1VOuapQvVhx++hZ+fr+V5QUEBSUnJ/PrrQpYtW2lZPnv2rEr3ZTabSUpK5o8/lvDHH4sty6dMuYXFi5eyb9+BMts8+eQjdO7cCYB3333Nsvz5519hz559uLq68re/XUvfvr3x8/OlqKiI5OSTbNq0lblzfyY3Nw+Au+66nWHDBlvtOzMzk/37D/K//33FyZMpVewRERGpU80CIS0D4hPtXYmIiBhQWCplzpzvcXFxsTx3d3fjqqvGc+edt3HyZAq7dkVb1u3Zs481a9Zbnnfv3pV+/Xrz7bc/cubMGRwcoGPHDvz975OJj09g587dlR5/wYJFZGZmWe0HICHhBAC33XYTUVH9WbJkGfHxCQA0adKESy8dQVBQIG+//YFlXwUFBXz++Wyr13LFFZdx991TdO2ZiEhd8Tk7mpRyGnJywc214vYl1zJlZNZtXSIiUi0XRVgymUwEBPgbrnN1PfeHbOXKNZbHQUGBTJ9+PwA5OTkMGNDPKiwdPx7PkiXLLM89PDzo1683q1evtYzcLFmynAED+tGrV48qhaUtW7bRokVImf0AeHp6MHhwFL/99gdz5nxvtV1aWhq33DKZoKBAkpKSATCbi6zqK9nH+PFjcXZ2Ij+/oNJ6RETERt07F/+bmwcPPw+TJkCAHzg4GLfPzS3+t6jIpsO4u1cSwuzI1dXF6l+xjfqv+tR3NXMx9l92dm6lbS6KsBQc3Iz333+jyu27dIng/vvvIScnh2effYmHH36g3LBVkaKiIvLy8vHx8bZ52/MFBQVhMpk4ejSuzLpjx+IBCAlpbglLRrKycjCZTPj6+upUPBGRunDJYOgSDrv3Fd9rafnaOjlMWFhoney3NrVpE2LvEho19V/1qe9q5mLqv+3b91Xa5qIISykppyyzz53v0ktH0LNnd8vzUaOGc8stkzl06Ahvvvke6Wcv1nUo71PBKqjBphZuZ0/lMJvNZdYVFhYCxafaiYiIHTk5wsw34Ksf4a9VEHsMsrIrHzmy8e/E/v1Hql1iXXN1daFNmxBiY+Mt19JK1an/qk99VzPqP2MXRVjKzc1l69bthut69ToXlEaPHsmtt97ImjXrmTFjZoM6VS0np3iY0OiGwI5n782RnZ1TrzWJiIgBD3e488bir8pcdyfsiwEbZ0Ctyqkj9pabm9co6myo1H/Vp76rGfWftYsiLFXVtddOYM+efbz//gy71VBYWBzQzg9FSUlJmM1mWrVqWWabFi2Kh0tLJn0QEZFG4lRq8b9BTexahoiIGFNYKiU7O4eAAH8uv3yU1aiSm1v9nd529OgxAK6+ejwHDx4CYPPmbaSmprJ69Touv/xSnJycSExMpKgImjYNYNSoS9i4cUuF1yuJiEgDcyQOks9eP9otwr61iIiIIYWlUj755DNuvnkSkydfj5OTfbpm165o5s37jeHDh1julRQfn0Bqair/+99X5OTkEBXVH19fH8t9lpYvX8n33/9sl3pFRKQaCgvhnU+LH7u7wcjBFbcXERG7cAgMbGXbfKVyUZk9exZTAxzY61wLs1SIiFzoCgrh4OHy12fnQEws/PQ77NxTvOzf98GN19h0mMCRt1a/xjrm7u5KWFgo+/cf0XUP1aD+qz71Xc2o/4xpZElERKS2pKbB9XdVra2jCe75u81BSURE6o/CkoiISH0wmcDbE0KCoV9PuG4ctCk7aY+IiDQcCksiIiK1pWkA7Fhi7ypERKSWlL1pj4iIiIiIiCgsiYiIiIiIGFFYEhERERERMaCwJCIiIiIiYkBhSURERERExIDCkoiIiIiIiAGFJREREREREQMKSyIiIiIiIgYUlkRERERERAwoLImIiIiIiBhQWBIRERERETGgsCQiIiIiImLAyd4FSMPXbNrLpETvs3cZjY67uythYaHs33+E7Oxce5fT6Kj/akb9V33qOxERKaGRJREREREREQMKSyIiIiIiIgYUlkRERERERAwoLImIiIiIiBhQWBIRERERETGgsCQiIiIiImJAYUlERERERMSAwpKIiIiIiIgBhSUREREREREDCksiIiIiIiIGnOxdgDR8J958lGRnB3uX0SgdtXcBjZz6r2bUf9UXNu0/9i5BREQaAI0siYiIiIiIGFBYEhERERERMaCwJCIiIiIiYkBhSURERERExIDCkoiIiIiIiAGFJREREREREQMKSyIiIiIiIgYUlkRERERERAwoLImIiIiIiBhQWBIRERERETGgsCQiIiIiImJAYUlERERERMSAwpKIiIiIiIgBJ3sXICIiYrPTafDtPFi3BeLiIeMM5OaBgwO4ukCAP7RvDcMHwYTR4Oxs74pFRKQRUlgSEZHG5Xgi3HI/JKeUXVdUBNk5cDyh+GvFepi/CGa+CU6O9V+riIg0agpLIiLSuHz+3bmg1L8XXD8emjcD57N/0rJzIOYIzPoGjiXA1l3w1yoYPcxuJYuISOOksFSBJ598hM6dO5VZnpmZSVzccX75ZQHbtu2wQ2WVGzp0EHffPYWnn36BgwcPERERzlNP/Zv33vuItWs32Ls8EZHq23+o+N+mAfDfl8+FpNJ6dYXuEXDtncXP9x5UWBIREZspLFUiNTWNuXPnWS1zdnYiMrIfDz00lUcffYbjx+PtVJ2IyEUoL7/43zYtjYNSiY7tSm2TV7c1iYjIBUlhqRJZWVksWbKszPLdu/fyyiv/R5cuEdx22034+fkyffoTVm1uv/1mRo0aweTJtwPQqVMYf/vbdbRq1QI3NzertnfccR9ZWdmMHDmcMWNGExTUFCenc9+eI0eO8vjjzwLg5+fH3/52LRER4QQE+JOZmcXRo3F8992PHDgQU7sdICLS0AQ1Kf73VGrF7U6dPve4WWCdlSMiIhcuhaVqys8v/mSzdKCpiLu7O9On38+JE0l8881cCgsLrdbn5ubRuXMnpky5hXXrNrJw4SKKis6tz8jIAMBkMvHYY9Pw9vbmzz//Ij09A1dXF/r168Njj03n4YefICXlVO28SBGRhmjMJfDXajh8FN7/H0wcC02bnBtlysktniHvvVnFz12c4dKh9qtXREQaLYWlKnJ2dsbb2wsoDkiXXFL8hzchIRHoUen2wcHN8PDw4K+/VhiOVAG0bdsGgB9++In4+ETDNt27d6VVq5a8+eZ7bNq01bJ8zZr1fPjhWwwcGMn8+b/b8MpERBqZy4bDyVMw40v4+Kvir/KEtoInHoDgIJsP4+rqUv0aL2Il/ab+qx71X/Wp72rmYuy/7OzcStsoLFWBg4MD77//hiUsARQUFLB8+Sq2bdvBFVdcVuk+EhMTycg4w6RJ19KmTSv27t3P/v0HOXny3NS3Bw8WX7T88MMPsm7dRvbvP8j+/QfJzMy0tGnevBkAaWnpBAT4Wx2joKCAoCCdaiIiF4GQZtC6BaSml9/GwQEiOoKvd7UO0aZNSDWLE1D/1ZT6r/rUdzVzMfXf9u37Km2jsFQFRUVF7Nq1m6ioSJYuXcHy5atISDhhOTWuKrKzc3jppde4/vprGDZsMKNGjQDg2LHjfPfdj2zatJV9+w7w9tsfMH78WCZMuAKAwsJCoqP38uWX33Ds2HE8PDwAeO65JwyPU9XTAkVEGq1Z38DbnxSHob9dBUMiIcAPTKbi9QUFxVOGf/8r/P5X8bTh7z4PUX1tOkxsbDy5uZoYwlauri60aROi/qsm9V/1qe9qRv1nTO+sq+ijj2bi5+fHoEEDWL58lVVQKip9cVEFYmPjeO21d3B2dqZjx/ZERIQzfPgQ7r//Hh555EkSE5PYsGEzGzZsxtvbi/DwjnTt2pmhQwfz8MMP8MADj2A2mwH44IOPycrKLnMMXa8kIhe0M5nw0RfFj6+9Ah6batyuaycYOQRuvK942vDXPoIfP7XpULm5eVU6RUOMqf9qRv1Xfeq7mlH/WTPZu4DGIj+/gNdff5eEhBM89ND9hIQEW9alp6dbRnyqtq98oqP3MnfuPP73v69wcnIiODjYqk1Gxhk2bdrKZ599zV9/LSMwsCmuri6W0/YSE5PYunV7ma+jR+Nq5wWLiDREh+OKJ3AA6Nez4rbOTjDw7GhSzBHQJ6UiImIjjSzZIDs7m1deeZNnn32cRx75F8888yJpaens3BlNVFQkU6feTVzcMUv7kgkboHhoc/DggVb7c3Z2YtCgAeTk5HDkSCzBwUF06dLZqo2HhztRUZEcPnyE3Nw8Nm3ayqlTp5k69S6WL19Ferr1qYC7d0eTmJhUB69eRKQBKB14TFX4vM/BofjfoqLi0/MuoguXRUSk5hSWbJSamsbLL7/JM888xiOPPMj//d8rrFixmmbNghg8OIrIyL6YDP6Ae3p6MmXKLVbL8vLyiYs7xttvf0hqahqDBg0o0yYrK4v9+w/y+eezgeLA9uyzLzFx4gRGjBhKQIC/1fE++OBjhSURuXA1KTWxzZ4DMHpY+W0LC2Ht5uLHbm7gWfUzAERERAAcAgNbVe2CG7kozZ49i6kBDux1drB3KSIixa68FY7EgZMjXH8lDOpXHKJKT/AQfwJ++h1WbyxedvkIePXJKh9i1LT/sH//EZ23Xw3u7q6EhYWq/6pJ/Vd96ruaUf8Z08iSiIg0Lv/3MNzzKGRmweyfir8q0rI5PHRX/dQmIiIXFIUlERFpXHp2gZ9mwbfzYOM2iIuHjMziESUAF2fw9YG2rWFwf7h+PHi427VkERFpnBSWRESk8QkOhAfusHcVIiJygdPU4SIiIiIiIgYUlkRERERERAwoLImIiIiIiBhQWBIRERERETGgsCQiIiIiImJAYUlERERERMSAwpKIiIiIiIgBhSUREREREREDCksiIiIiIiIGFJZEREREREQMKCyJiIiIiIgYUFgSEREREREx4GTvAqThazbtZVKi99m7jEbH3d2VsLBQ9u8/QnZ2rr3LaXTUfzWj/qs+d3dXCAu1dxkiItIAaGRJRERERETEgMKSiIiIiIiIAYUlERERERERAwpLIiIiIiIiBhSWREREREREDCgsiYiIiIiIGFBYEhERERERMaCwJCIiIiIiYkBhSURERERExIDCkoiIiIiIiAEnexcgDd+8icfwvTzO3mUYCnqzlb1LEBEREZELlEaWREREREREDCgsiYiIiIiIGFBYEhERERERMaCwJCIiIiIiYkBhSURERERExIDCkoiIiIiIiAGFJREREREREQMKSyIiIiIiIgYUlkRERERERAwoLImIiIiIiBhQWBIRERERETGgsCQiIiIiImJAYUlERERERMSAk70LkAuX0xNQaD733N0ZegTDBxOgdwv71SUiIiIiUhUaWZJ6k50P6+Lg5u/sXYmIiIiISOU0siR1ZvM/oajo3PP/LIPvdkJ0EqTlgK+b3UoTEREREamURpaqqVWrlrzxxkt88sl7XHLJMMM2Q4cOYvbsWXTo0K7O67nrrtv57LMZdX4cW/RoDj1Dzn0NCT237nS23coSEREREakSjSxV07hxl+Pr68vOnbu4/fabiYs7xoEDMXarZ+XKNezbd8BuxxcRERERudAoLFVTQIA/qampfPjhp7z2WihTptzC448/h9lsLnebdu1CueGGiXTo0B53dzeys3OIj49n3rwFbNq0xdLOz8+P2267iS5dOuHh4QHA88+/wp49++jVqwc33DCRkJBgnJycSE4+yQMPPMKQIQOJiopk2bKVQPHI1803T6Jt21A8PT2s6njssWeIjY2rg14REREREblwKCxVk4ODAwD5+fl8+eUcHnrofsaMuZTffvvDsL2XlyePPjqNjIwz/Pzzr2RlZeHk5ESnTh2ZNu2fvP76u2zZsg2AO+74Ox07tuPnn38lOzsHgISEEwQE+PPAA/ewf/9BFi9eSlFRETk5OYbHmz79fsxmM3Pn/kx+foHVupSUU7XUCyIiIiIiFy6FpVqwefM2tm7dzjXXTGDt2g2cOnW6TJvBg6Pw8vLiuede5vjxeMvyP/5YzEsvBTFu3OWWsBQREc769Rv59deFVvvo168PLi4u/PjjL+zdu7/cery9vQgMbMovvyxg4cLFtfMiGyh3d1d7l1AuV1cXq3/FNuq/mlH/VZ/6rmbUfzWj/qs+9V3NXIz9l52dW2kbhaVa8sUXc3jllee5+ea/8c47H5ZZHxzcjIKCAqugVOLYsXi6d+9qee7u7kZBQUGZdu7uxdPHGa0rLSPjDImJJ7j88kvx8/Nlz559HDhwkPj4RFtfVoMXFhZq7xIq1aZNiL1LaNTUfzWj/qs+9V3NqP9qRv1Xfeq7mrmY+m/79n2VtlFYqiUnTiTx228Lufrq8XTv3pUdO3ZZrXd1dcVsLjLctrCwEDe32p1H+z//eYMbbphI//59GTp0EABJScnMm/cbS5euqNVj2dP+/UfsXUK5XF1daNMmhNjYeHJz8+xdTqOj/qsZ9V/1qe9qRv1XM+q/6lPf1Yz6z5jCUi36+edfGTRoALfeeiP//vdTVutyc3MxmRwMt3N0dCz32qPqSk4+yfvvz8DR0ZF27ULp1CmcoUMH8o9/3MqJE0lER++t1ePZS1WGT+0tNzevUdTZUKn/akb9V33qu5pR/9WM+q/61Hc1o/6zpvss1aKSyR6Cg5tx5ZVXWJYXFUFi4gmcnJwICWleZrsWLUKIj0+ok5oKCws5cCCG+fMX8O67H1mOJyIiIiIiFdPIUi3bvHkbmzdvZcKEKyzXCKWlpbFq1VomTpzAtGn/ZPnyVWRlZePk5ERYWAfatm3DG2+8W6t1XHLJMMuMfQCOjiZ69+6J2Wxm/37dj0lEREREpDIKS3Xg44//xwMP3Eu7dqH88cdiTp5MAeDll9/ihhuu4eqrx+Pm5kZOTg7x8Ym8/fYHbN68rVZruO22m3B0dLQ8LygoICEhkY8+mql7LImIiIiIVIHCUjW98MKr5a7LyDhjuD4m5hAvvfR6pfuePPl2w+UrVqxmxYrVhutmzJjFjBmzLM9vvvkflR6nLiVmFH+Vdjz93OPoE5Cafe55sHfxl4iIiIhIQ6GwJHXio/Xw3JLy11/xufXzZ0bCs6PqtiYREREREVtoggcREREREREDGlmSOvHsKI0UiYiIiEjjppElERERERERAwpLIiIiIiIiBhSWREREREREDCgsiYiIiIiIGFBYEhERERERMaCwJCIiIiIiYkBhSURERERExIDCkoiIiIiIiAGFJREREREREQMKSyIiIiIiIgYUlkRERERERAwoLImIiIiIiBhwsncB0vBNmNuS6OhMe5chIiIiIlKvNLIkIiIiIiJiQGFJRERERETEgMKSiIiIiIiIAYUlERERERERAwpLIiIiIiIiBhwCA1sV2bsIERERERGRhkYjSyIiIiIiIgYUlkRERERERAwoLImIiIiIiBhQWBIRERERETGgsCQiIiIiImJAYUlERERERMSAwpKIiIiIiIgBhSUREREREREDCksiIiIiIiIGnOxdgDRMXbpEMG7c5bRv3xYPDw9ycnKIjY1j4cI/2bhxi73La7CaNm3Cu+++Vma52WwmJeUU8+cvYPHiZfVfWCPVrVsXbrvtJnx9ffn227ksWrTE3iU1eJ07d2L8+DGW/7sm07nPxD777CsWLfrLjtU1bAEB/kyadC0REeH4+vpgMpnIyckhLu44CxYsYuPGzfYusUFwdXXlf//7LwCFhYUcPHiI//znDfLy8ixtHB0dGTfucqKiImnWLBAnJyfS0tLZtSuaH3/8haSkZHuVb3eV9d/EiROYOHFCme1yc3M5cuQoM2d+wbFjx+u15oaiKj97pTk4ODBp0rWMGjWCtLQ0Xn31bRITT9RnyQ1KVf/vjh17GYMGRdKsWRCurq5W+7jttnvIzc2t17rtzSEwsFWRvYuQhqV//z7cf/89xMcnsH79JlJT0/Dy8qJXr+6EhXXgf//7ij//1BsuI25ubgwaNKDMcgcHB/r370Pnzp3497+f5vjxeDtU17j07NmNadOmEh29Fx8fH3x9fbjvvmn2LqtB69evNw88cC87d+5m7979nDmTabV+7979+tmrwGOPPUSXLhEsXbqCo0ePYTab8fb2YuTI4fj7+zFt2mMX9Zv8EiaTiREjhgLQunVLLr30Et588z02bdpqaTNt2lT69u3FunUbOXjwEHl5eQQGNmX48CEUFRXx5JP/x8mTKfZ6CXZVWf+1bRtKu3ahZbZzdXXlyivHkpyczFNPvVCfJTcYVfnZK+2ee+5g0KABLFiwiHHjLmfevN/49tu59Vlyg1KV/vvXv/5J166dWblyDYmJJ8jPz7fax9KlKzCbzfVat71pZEnKmDz5elJSTvHEE8+Rn19gWT5v3q8899wT3HDDNSxfvqrcT3IuZjk5OSxZssxwXWLiCbp27UzLliF6w1qJ9u3bcf/997Jv3wFef/1dpky5haioSHuX1eDdeOMNrF+/kffem2HvUhql0NA2bN++k5kzv7BafvToMaZPv582bVorLFE8Ul7ye65Dh3ZceukleHh4WNZHRITTt28v5s//nTlzvrfaduXKNbz88nNcffV4Pvnks3qsuuGorP8OHz7C4cNHDLdt27Y1ffr0rocqG6bK+q60G2+8gSFDBvLpp5/z11/LGTfucjw9jdteLKryf7dfv968/PKb7Nixy05VNjy6ZkmsNGsWRFBQINu377QKSiU2bdqKh4cHHTq0s0N1jVdISDCTJ1+H2Wzm6NFj9i6nQQsObsbDDz9AQkICb775HgUFZX8OpayS/7uHD8cSEOBv+fLz88XBwcHe5TUKJpMDWVlZZZaXLCt9SqOUr2vXzgBs2FD2tMVjx46TmHiCbt261HdZjd6QIQPp168PsbFH7V1Kgzd27GVcccVlfPvtj/z113J7l9NodO3aGbPZTEJCotXfkYs9ZGpkSaz4+fkCkJaWbrg+Pb14ub+/X32V1Ki5urpw1VXjGTt2NEVFMGvWlyQkJNq7rAbLz8+XRx+dRmZmJq+88hbZ2Tn2LqnR8PX1AYpHhidPvt5qXUFBAevXb2TmzC/JyVGflmfXrj1069aVrl07k5CQSFFRER4eHowePZLc3Fz27z9g7xIbhZK/IyV/L86XlpZOWFiH+iypUWvRIoTbbruJzp07ER+fyIwZM+1dUoM2cGAkkydfx++//8m8eb/au5xGpeRazXfeebXMutTUNL777keWLVtph8rsS2FJrFT2yWlRUfElbo6OjvVRTqPWv38fbrppEk2bNmH79p188cUcBaUKODs78cgjD+Lk5MQLL7xKenqGvUtqVEr+T/7yywL27Tv3pt7BwYHw8I6MHz+GhIQT/PjjL/YqscGbOfNzHn30IR5/fLrV8tzcXN5/fwanT6fap7BGpuTvSMnfi/MVFRXpb0gVuLm5MXHiBC67bCSFhYXMnTuPX35ZUOYaEjknPLwjd989hTVr1vPll3PsXU6j4+joSEFBAW+99YHVchcXF8aMuZQ77vg7u3fvITn5pJ0qtA+FJbFS2UV7JafzFBYW1kc5jZKnpyf33DOF3r17kpSUXOHFp3LOkCGDCA1tw8cf/w+z2UxAgL9lXclsPAEB/uTm5pKZWfZUqYtdyRvT2NijbN263Wrdli3bGDgwkvbt29qjtEbBwcGBadOm4uvrw2effU1KSgpmcxFubm5ERvbhn/+8i9dee4fo6L32LrXBK/k7Ut7pnw4ODvobUomIiHDuu+9OAgL82bBhM1999c1FOyGGLSZPvo7s7Gx++OFnq78hJVxdXQkI8Cc9PUOneJfDbC4q8zcEIDMzk8cfn067dqEKS3JxS01NA86d0nM+H5/i5fqEtXz/+td9hId3PPsp4G+G135JWSU/e3feeVu5bd5//w2WL1/FjBmz6qusRqNkwpXzp3ktkZubi4uLS32W1KiEhramU6cwPvnkM5YuXWG1bu3a9cyY8S6XXjpCYakKSv4v+/j4GL6p8vX10d+QCoSENOeRRx4kPT2Dl156nV27ou1dUqNx+nQqHTt24O23XzFcP2TIQIYMGcjzz7/Cnj376rm6hi83Nw8nJ0dMJlOZD89LTuG+GP+OKCyJlRMnkkhKSqZnz+44OzuVeaPfr19vsrKyOHjwkJ0qbNiaNw+mc+dOfPfdj/z8s86VtsWWLduYPv0JgoICy3wiPWbMpXTqFMZbb31ASsopO1XYsCUkJFJQUEB4eMcy55Q7ODjg5eWl00ArVPwzZ3QqsqOjIyaTg6WNVGzXrmiuvno8/fv3ISbG+m9Fq1YtCA5uxvLlq+xUXcM3ZMhAnJ2dee65/3Dq1Gl7l9OovPfeDDp2XIy7u3uZdQ8//ADbtu3gzz+XEheniZaMHDt2HJPJRFhYB/bu3W+1ruRD9IvxuleFJSlj9uzvuP/+e3jxxWdYt24jaWnpeHl50qtXDzp0aMf//veVpg0vR8kvk8DApowcOdywzZYt2/Spajni4xOIj08os7x//z7lnhogxbKzc1i5ci3Dhg3Czc2NAwdiyM3NxdnZmW7dOuPj48327TvtXWaDdezYcU6fTuW6666mSZMATp06RVERuLu70atXDzw9Pdm5c7e9y2wQSj4UguLfdVB8M2RnZ2cAVq9ex6ZNWxk/fgxNmzYhJuYQeXn5lvssnTmTyU8/zbdb/fZWWf/5+fliNpvp1auH4fY5OTmsXr2ufoptYKrys3f+m/zSTp5Muaj/jlTWf9u27SAtLZ1p0/7JsmWrSE4+abnf3IgRQ8nOzmHv3otvohvdlFYMde7ciSuvHEu7dqF4eHiQk5NLbOxRfv/9TzZt2mLv8hqsiIhwnnrq3xW20WkVtrvrrtuJiork1lvvsncpDZqTkxPjx48hKqo/QUGBuLi4kJWVTVJSEkuXrtTNpCsRGtqa66+fSPv2oXh6emIymcjLyyMp6SSrV69l3rzf7F1igzB06CDuvntKuevvv/9hTp9O5YorLmPgwAEEBwfh6OhIWlo6u3ZFM3fuvIvumofSKuu/5ctXMWzY4HLXp6ScYurU6eWuv5BV5WevvGu7Zs+exeLFS5k168u6Kq/Bq0r/OTs7c+21E+jUKRwfH28cHBxIT8/g4MFDzJv3KzExh+ux4oZBYUlERERERMSA7rAnIiIiIiJiQGFJRERERETEgMKSiIiIiIiIAYUlERERERERAwpLIiIiIiIiBhSWREREREREDOimtCIi0mhVdm+zvLw80tLSiY9PYMWKNaxdu95qvYODA1FR/Rk4MJK2bUPx9vbCyan4T2NWVhYnT6awc2c0f/yx2PD+LbNnzzI8rtlsJjs7m6Skk+zevYfFi5eSlJRc7vbPPfcf9u0rvtlj06ZNePfd1wD45z8f4tSp0xX2wZNPPkLnzp347rsf+fnnX8us/9vfrmPEiCHk5OQyZ84PZfqghKOjI7fffgv9+/fhzJkzfPnlHLZsKXsDTycnJy6/fBSRkf1o3jwYNzdXTCbjz17/9a9HOXEiqcL6RUQaMoUlERG5IBjd6NRkMuHn50tgYFN69OhGRESY5aaU7u7uPPTQVMsd7XNyckhNTaOoqPj2g87OzrRs2YLWrVtx6aUj+PDDT9iwYbPhsU+fTqWgoMBqmZeXF23btqFt2zaMHj2Szz//mqVLV9TmS65Ujx7dGD9+DHl5+Xh4eHDXXbdz4MBBw+A3fvwYRowYQl5eHs2aBXHvvf9g6tTpZGfnWNo4Ojry+OPT6dQpDCgOlCkpp8o9fmFhYe2/KBGReqSwJCIijV5hYSEPPPCI4TqTycSVV47l+uuvYdSoESxfvoqYmMPcccff6dy5E0lJyXz00Uz27TtgCUolPD09mTBhLOPGjeHee+8kPv7/OHbseJljvPvufy0jQ6X5+fly2WWjGDfucqZMuYXTp1PZtm1H7bzoKujbtxcAc+f+TGhoG8so2i+/LCjTduTI4QC8/faH/O1v19KqVUu6dIlg06atljaDB0fRqVMYmZlZvPzym8TEHKqX1yEiYi+6ZklERC5oZrOZn3/+1TJCEhbWgZCQYKKi+gPw8cf/Y+/e/WWCEkBmZiazZ3/P3r37cXFxZvz4MTYdOzU1jW+/ncuPP/6CyWTixhuvr/kLskG7dqEAxMUdY8+evQB07dq5TLsWLUJo0iSAwsJC9u7dT1xccSBs2zbUql379m0B2LFjp4KSiFwUFJZEROSicObMGaD49Ltu3boCkJaWRnT03kq3XbNmHVB8Wlt1rFq1FigOJc2bB1drH7ZycHCgRYsQAI4di7eMfHXo0A5HR0ertiWn1R09GkdOTg7Hj8cD0KpVS6t2eXl5ALRv3w4PD/c6rV9EpCFQWBIRkYuCl5cXANnZ2TRrFgRAcnLZa3eMlLTz8fGuVkgofV1PSEj9hKXmzYNxcXEhJyeHkydTOHYsnszMTNzc3AgNbWPVtiQs7d1bHKji4xMAaN3aOiyVTPgQFBTIG2+8xA03XFNm9ElE5EKisCQiIhc0BwcHrrxyLO7ubgDs3x9jeVwyUlKZ0u3c3W0PS2az2fLYw8PD5u2royToxMcnAlBUVMSBAzEARESEWbU9F5b2A3D8eHFYatq0CW5ubpZ20dF7+eqrb8jLy8fX15cJE8bx4otP88EHb/KPf9xKnz49y4xaiYg0ZprgQUREGj1HR0feeefVMstNJhM+Pt44OzsD8Ndfy4mJOcSoUcOrfSwHB4dqb1sb21dVmzatACyn1AHs23eAnj27Ex7ekV9/XQgUjxI1aRJgWQ+QmHiCwsJCHB0dadWqhSVkASxYsIgtW7YxatQIBg4cgJ+fL/7+fowYMZQRI4aSlpbGwoWLmT//d6uQKCLSGCksiYjIBSEwsGmZZXl5+aSnZ5CQkMiKFast1w7Zk9FEEnWhVavisHTsmHVYAggP72hZFhERDkBCQiLp6ekAFBQUkJSUTPPmwbRq1dIqLAEkJibx1Vff8tVX39K2bSg9e3ajR49udOjQDl9fX264YSLdu3flpZde1/ThItKoKSyJiEijV1hYyM03/6PK7UtmxnNxcalSe1fXc+2ys7NtKw6sTk2rzvbVUXIaXumRpZiYwxQUFODl5UWrVi2Iizte5nqlEsePJ9C8eTCtW7eq8DiHDx/h8OEj/PTTfPz8fBk7djTjxo0hIiKcIUMGsmzZylp+ZSIi9UfXLImIyEUnKSkJgMDAJlVq37RpcbuMjAwyM7NsPl7JaW5w7hqi8hQUnBuJcXKq/DNNZ2ens9uduymuh4e7pebSYSk/P5/Dh2MB6NQp/Oy/xWFp3779VvstmeShVasWldZQIjU1jdmzv2f37j3AuanLRUQaK4UlERG56OzcGQ2Ar68vXbpEVNp+4MABAOzYsataxxs2bDBQHJRKQkh5MjIyyM/PB6Bly5AK2zo6OhIcXDy7XkrKacvyktGgvLw8kpKSrbYpORWvU6eO+Pv7WWYGLJncoURJyDp/RryqOHMm8+zx823eVkSkIVFYEhGRi87x4/GsX78RgDvu+LtldOV8np6eTJ58HZ06hZGfn88vv/xu03ECAvy58cYbmDDhCgC++eb7SrcpLCy0jMxMmnSt5V5J53Nzc+P222/G29uLvLx8du+OtqwrCUvx8YllrpHau3cfUDyy1LlzJwBOnkwpE6pKQp2npycBAf6V1l2ia9fO9OrVHcDyOkREGitdsyQiIhelTz75DB8fHyIiwnn66UfJyckhI+OMZb2TkxO+vj6YTCby8vL46KOZxMUdM9zX/fffY3UaHIC3t5dl2u2CggK++GI2mzZtrVJts2d/T8eOHWjZsgWvvfYCmZmZZGWdu9bJ0dERPz9fTKbizzy//fYH0tMzLOuNrlcqsXPnbtLS0vD39+POO28DYPXqshNflB4Ba926FadOnaZt21AefPDecuv29PSwTI2+efNWtm7dXqXXKyLSUCksiYjIRSkrK5sXXniVgQMjiYqKpG3bNvj7+1muE8rKyubYsePs3BnNH38s5uTJ8m9g6+/vZ/XcbDaTnZ3DkSOxREfvZfHipSQmJlW5tmPHjvPoo09zxRWX07VrBE2bNrWa7S8vL5+UlFPExBxm8eKlREfvtdq+ZGTJKCzl5xfwwQefcPvtN+Pr68vWrTv4+effyrTLzs4hJeUUTZoE0Lp1S7Zt24GLi7PhrIOlt4mJOcyaNev4448lVX69IiINlUNgYKv6mcNURERERESkEdE1SyIiIiIiIgYUlkRERERERAwoLImIiIiIiBhQWBIRERERETGgsCQiIiIiImJAYUlERERERMSAwpKIiIiIiIgBhSUREREREZH/b78OBAAAAAAE+VsvMEJZNGQJAABgyBIAAMCQJQAAgCFLAAAAI03sGiCWYZM9AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 900x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "podiumFinishes = season2022RaceResults[season2022RaceResults['Position'].isin(['1','2','3'])]['Driver'].value_counts()\n",
    "c = assign_color('drivers', podiumFinishes.index)\n",
    "plt.figure(figsize=(9,5))\n",
    "plt.axis([0,17.5,6.5,-0.5])\n",
    "plt.barh([driver.split()[1] for driver in podiumFinishes.index], podiumFinishes, color=c)\n",
    "for i in range(len(podiumFinishes)):\n",
    "    plt.text(podiumFinishes[i]-0.95, i+0.15, \"{:>3}\".format(podiumFinishes[i]), fontsize=16, fontweight='bold', color='k')\n",
    "plt.title('Formula 1 - 2022 Season\\n# of Podium Finishes (Drivers)', fontsize=19, weight='bold', color='#bbbbbb')\n",
    "plt.xlabel('PODIUMS', fontsize=14, fontweight='bold', color='#bbbbbb')\n",
    "plt.ylabel('DRIVERS', fontsize=14, fontweight='bold', color='#bbbbbb')\n",
    "plt.xticks(color='#bbbbbb')\n",
    "plt.yticks(color='#bbbbbb')\n",
    "plt.axvline(0, color='#bbbbbb')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3362f9d2",
   "metadata": {},
   "source": [
    "Yeah, it is not surprising to see that the champion Max Verstappen also had the most podium finishes in 2022 Season, with total of **17**; which was **6 podiums higher** than his close rivals, Charles Leclerc and his teammate Sergio Perez!\n",
    "\n",
    "Then, Sainz and Hamilton succeeded the same number of podiums with **9**. The Briton's compatriot, Russell was seen on the podium ceremony **8 times**, which should be pretty good in his first season with Mercedes team.\n",
    "\n",
    "Besides the drivers from top three teams, the only driver from the rest was **Lando Norris** from McLaren team. Well, we the spectators were able to see him on the podium in **Emilia Romagna GP**."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "51da94f6",
   "metadata": {},
   "source": [
    "## 2022 Season - Top 10 Finishes"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6a03662c",
   "metadata": {},
   "source": [
    "To make it even broader, now let's count all drivers' **top 10 finishes** this time. That is, we are seeking the answer for the question: how many times did the drivers complete races with points in 2022 Season?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "7ddc5a02",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA5UAAAJvCAYAAADr1vUYAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjYuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/av/WaAAAACXBIWXMAAA9hAAAPYQGoP6dpAADTCElEQVR4nOzdd3xUVfrH8U8mZTIJIY1QQgkQCIRO6F0FAREERVEREQWsq6hrXXV3Xdf1Z0Nd166oqFgQEVFARKmht9BDCyEQAimkkN5+fwwZMqbeIRW+79crr8zce+69zzwJYZ45557jFBDQshARERERERERB5hqOwARERERERGpv1RUioiIiIiIiMNUVIqIiIiIiIjDVFSKiIiIiIiIw1RUioiIiIiIiMNUVIqIiIiIiIjDVFSKiIiIiIiIw1RUioiIiIiIiMNUVIqIiIiIiIjDXGo7ABGR+u6ee+5i2LDBDh//wgsvs39/ZBVGdPmaOHE8EyeOB+D99z9hzZrwGr3+TTddz/XXj7Pblp+fT3x8AuHhG1m4cDEFBQU1GlORK64Ywt1331mptgUFBWRlZXHqVBwbN25h2bIV5Ofnl9ne3d2dIUMG0rlzKK1bt6JBA088PDzIycklPT2dM2fiOXAgkrVrNxAbe6rUc5hMJr788uNKv56cnBzOnk1m374D/PTTEk6fPmO3/x//eJoOHdpX6lx5eXmkpZ3jyJEoli37jX37DlQ6jiIhIe0YOnQQ7doF06iRH+7u7phM5X92v2/fAf7971cMX0tEpK5RUSkiIlKNnJ2dadq0CRMnjic9PYNly36r7ZAqZDKZ8PDwIDi4LcHBbQkL68F//vNaqYXlsGGDue22STRo0KDEPjc3V9zcfPD19aFDh/aMGzeGtWvXM2fOF+Tm5l5UjG5ubjRp0pgmTRrTv39fXnzxFY4ePebQuVxcXPD19aF3756EhXXns8++YsWKlZU61snJiTvvnMKIEVc6dG0RkUuBikoRkSq0fXsEUVHHDB0TH59QPcFIjdu7d3+Jnsj27YPp1q0LAP369a61ovLYsWgWLFhUqbYmk4mmTZvQr19vTCYToaEdGDVqOEuWLLdrN3bsaCZPnmR7fuZMPPv3R5KcnExeXj5OTk54eHgQFNSSDh3aYzKZGDZsMM2aNeWFF162K1ILCwsrHR+Ap6cn/fr1xtfXB4vFnZkz7+Tpp/9h279q1Vr27NlXqXOZzW507tyJNm2CMJlMTJlyM1u37iA5ObnCY2+44TpbQZmXl8euXXs5ceJkpYpm/dsXkUuFikoRkSq0Y0cEv/++qrbDkFqyb9+BEkMnmzZtwuzZLwHg7+9XG2EBcOzYcY4dO27omJiYsUyadAMAvXuH2RWVbdq05uabJwLW4bJz587jt99WUlhYWOq5WrZszqOPPkiTJo0JCWnHpEk38PXX8237jRaVAEuW/Mobb/wfzs7OBAW1pHHjAM6ciQdg9ep1hs5lMpl45ZUXCAxshpubGz16dGXVqrXlHuPq6sI114wErDmYPfttdu7cbei6IiKXAhWVIiJ1VIcO7Rk2bDDt2gXbemNMJhP5+flkZGQQF3eaPXv289tvKyvsUWnePJBrrx1F586h+Pr64OJi/+d/9uy32bp1BwDz5s2pkvjz8/NJT88gOvo469ZtYO3a9aW2K35PamXuL33rrVcICGgEwOTJd1U6nkcf/Qu9e4eV2yYjI4MzZxKIiNjN0qW/kZqaWunzlyUvL8/2+M95r+uio2Nsj7287Ie3XnfdNTg7OwOwfPkfLF/+R7nniok5yX//+z4vvvh3AK6++kp++ukX0tMzHI4vISGRjIwMvLy8zsfoZSsqjSooKCAm5iSBgc3On6vkcN4/CwwMxMPDAkBc3JkqLSgbNw5gxIgrCA3tSOPGAXh6emAymcjJyeHcuXRiYk6wbdtO1q4NJzs7x+5YDw8LH3/8Trnnz8/P59y5c0RHx7Bu3QbCwzeW+YGAn58vo0dfTZcunWjcOAB3d3O594u+886HhIdvLLHdx8eb4cOvoHPnUJo1a4qnp4ft30RGRiYpKSkcOnSE1avXlfl3IDS0A88992S5r63onuC4uDPs2BHBsmW/XdTvmYhUrH797yYichlwdnbm7rvvZMiQgWXu9/LywsvLi/bt2zFmzEg+/vjzUt/EAfTv34f77puBq6trdYZdapwNG3rRtWtnunbtTFhYd956670ajcEoDw8PWrduRevWrbjiiiG88sobREVF13ZYtcLJyYmhQy/8DiYkJNoeOzs707NnD9vzyt5/GBV1jCNHjhIc3BZ3d3d69OhW5u9tZYSFdbcVlNYYHR9O6u/vR5cuocXOlVhOa6viHxIUFX1VMRHTmDEjueWWG0v9EMLNzQ0/Pzf8/Hzp3r0rY8eO5vXX/0tMzElD13B2dsbb25tu3bzp1q0LAwf24/XX3y5x32zHjiE89tgsW/HsqL59e3HvvdNxd3cvdb+HhwUPDwvNmjVl6NBBbNiwmfff/8She2+L7glu27Y1bdu2ZvDgATz//P9VajiziDhGRaWISB1z++232ArKvLw8IiJ2c/LkKbs3V2azmTZtgggN7YDZbOa++2aQnp5eoqfE19eHe+65C1dXV/Ly8ti6dQenTsWVeONb2oycFU0qExTU0tbzt2/fgRI9C05OTvj6+tC3b6/z97/1YcSIA5UuQKrahg2b7XreSuPi4syIEVfh6emBt3dDHn74AR577G/k5uaVe9ylJiCgEdOnT7XdCwqwY8cu2+PWrVvh5mb9kCIrK6vMGV1LExUVTXBwW8B6v6kjRaWzszNjx462zfRrPe8xUlIc61nu06cX06bdhqenJ2B9TZWZkfn06dMUFBRgMpnw9m7I9Ol38MUXX5OVleVQHGCd+GjKlFsAa2/inj37OH78BDk51t5IJycnvLwa0LlzKIGBzWjcOIDHH3+Yxx9/xtZjmZubW6mhxM2aNWXgwH4A9OjRjZtuup5vvvnett/FxYUHHrjbVlBGRUWzb9+BCl/f8eMn7J63bx/MX/5yj61Ijo6OYf/+SNLT04tdyxl/f3969uyOp6cHAwb0pbCwkP/974Myr3Ps2HG2bdtR6j4vrwZ069aFpk2b0KRJY+68cwpvvPG/cuMWEcepqBQRqUOaNGlsm/QjKyuL55//P6Kjy74Prk+fXjzyyAOYTCamTp1MRMTf7Iaw9e/fB7PZDMDChYtZuHBxpWPJyMgo943p0KGDbEXl/v2RZbZdvHgJr7zyb1xcXBg5cnitFpXladTIn1mz7sfT08O2LSCgEQMG9KvxpUlqi9nsxvjxYxkzZiRubm627Xv37rf7ufn4eNseGx1WmJZ2rth5fAzHGBbWnSlTbqFp0ybFYkjn448/N3yuFi2aM3XqrXTp0sm2raCggC+++Ibk5JQKjz93Lp0tW7bRr18fAK68cgj9+vViy5btbN++k9279xkqMF1dXbnllhsB6wdKL774KpGRh0pt6+TkxNNP/5UuXTrRqJE/V1wxlF9/XQFAbm5ehUXlgAF9GTNmlN22kSOH88MPP9kK2I4dQ2z3AcfGnuLZZ/9V5hDZ8hTvdf3xx5/57rsfymzbsKEX//zn32jatAkDB/ZjxYqVHDhwsNS20dHHy32dLi4uvPrqv2nSpDG9evXAy8uLtLQ0w/GLSMVUVIqI1CF9+/a23au0cuXacgtKgC1bthEZeYgOHdrTtGkT2rVry6FDR2z7mzVrant8+PDR6gm6AnFxZzh1Ko6WLVvQokUg7u7uF9WTUx3Cwrpz773TbctiJCen2Aqn0NAOl0VROXjwAG655Ub8/Hxt2woKClixYiVffPGNXe+2h4eHXRsj7M9T+SGVzZsHcvvtt9j1noJ1Vtt33vmIkydjK32uBg08ufHG6xk+fJjtvlCAlJRUPv74M7Zt21npc3388VwaNfK39b56eHgwbNhghg0bTF5eHpGRh9i5cxc7d+6uMMauXTvh7d0QgG3bdpRZUIJ1YqNly1bYCuJu3TrbisryODs7c/vttzBy5HDbtqLfd3d3M8HBbWy9tA0bXhhaHB+f4FBB6e3dkNDQDgCkpqZVWOympqaxePFSZs6cBsCgQf3LLCorkpeXx+7de2nSpDEmk4k2bVqxa9deh84lIuVTUSkiUoWmT5/K9OlTDR1TfHKa1q1b2rYfPnykrEPsHD16zLbIe5s2re2KyuL3URafMKamFe+d8vT0qDNFpZOTEzffPJGxY0fbivmtW7fz/feL+L//ex6wDiG+lAUHt2Hq1Mm0bx9st/3IkaPMnfu13e9TEScnpyq5dnmTvRTx9PRg4sQJjBhxhd09hunp6SxcuJhly1ZUurA1mUyMGHElN9443m5dzby8PFauXMN33y20G5JZGenp6fzzny8xatQIrr12lN3vi4uLC507h9K5cyi33XYzp07FsW7dBlasWGn3b6JI27ZtbI+PHq34Xt7iS5L4+/tX2L6oNz442HqdnJxc5s6dh6+vj20ocfH4i5+/S5dOjBhxBWvXri8xMVB5goJa2R5HRR0rda3TPzt6NMr2uG3b1pW+VmmKD4kufv+tiFQtFZUiInVI8Te6lR1WmJFxoV3xnoW6qqoKkovl4+PNgw/ea+tFyc/P57vvFrJ48RIaNbrwBr2uzNjau3dPuzfoRaKjj9tm7jXCx8ebW265kcGDB9gVd/HxCXz33Q8XNYFOVXBycmL48Cu46aYJdsVAXl4eK1asZMGCnwwVgF26dOL222+hZcsWdtt37Ijgq6++M3Rf6J/l5+ezZMmv/PrrCtukVN27d7XNUlykWbOm3HTT9YwZM4p5875j5co1dvuL//vt2LE9bm7jKU/xGWrd3c3ltv1zb3x8fAJvvvkuUVHH7O5NLf77fvjwUY4ciSI4uA3Ozs7cdddUbr/9VqKios/vO8rhw0fLXW+zeIzF/1aVJyMjs9jxVfc3rXivtIhUrbrxP6WIyCVi+/YIoqKOGTqm+Buyi33TU1cKoLquU6eO/OUv99iGuKakpPD22x+UWGOyLunVq6dt6ZXiVq9eZ6iodHJyYsyYkdxww3gslgszcWZkZPLTT7+wdOnyCicmcmQYpJHztGvXlhkz7qBVq5Z227ds2c7XX39HXNyZSl/D19eHadOm0KeP/XIyx44dZ96879izZ5/xwMuQn59/fqirdVKjZs2a0q1bF7p160xoaEdb4efp6cHMmdNwdzezdOmFybCKjyzo2bM7PXt2r/S1y/qwprTe+IiI3bzzzoecO1d+UV5YWMirr77FjBlTbfdPu7q6EhLSjpCQdrZ2SUln2blzF7//vqrEbMmO/E0r/nuhv2ki9YP+pYqIVKEdOyL4/fdVtR2GlOOaa65m8uRJtje7Bw8e5q233uXs2eTaDawGuLm58eijf7G7LzE/P5+VK9fw/fc/kppauUlMMjMv9CRVZghrccXbl9YbP3z4FUybdptdMXLkSBRfffWt4Xvr2rVry2OPzbLrAUxKOsv8+QtZsya8yorjspw6FcepU3H8+usKXF1d6dMnjIkTx9vudZ406QbWrAmvtjUUPT09eeihe+natTNgvZ/1xx9/ZsGCRZV+7ampqcye/T/atw+mb9/e9OjRlWbNmtr9HP38fLnqqmFcddUwVqxYyaefflntuRWRukVFpYhIHVKZ+43KU5v3TdYHkydPYuzY0bbnv/66gi+//Pai814TPvhgDh98MOeiznHPPXfZFZQ7d+7iq6++MzTJDWBXgBctw1FZxYdD/nndwB49utrdk5yYmMS33y5g3boNhq4B1h7KJ5542DbcMysrm19+WcbPPy81dE9gVcnNzWX9+k3s3r2P1157ES+vBpjNZjp0CGH79p0l2n/yydyL+oDK27shf/vbY7bhvufOnePddz8qsexQZR06dIRDh47w1Vff4unpQXBwG4KD29KhQ3s6dgyxzRY8YsSVxMaeYtky66RBjvzbKt7rqr9pIvWDikoRkTrk3LkLk3dUdmZMi+VCu8r2NNUlxd90Vuf9lgMH9rMVlDk5OXz00We1ft9gTWrRojkDBvQFrDn/5JO5rFq11qFzRUfHkJOTi5ubK+7uZpo3D6x0YdqmTWvb4z9PAnTjjdfbHm/btoN33vnI4UmdrrlmpK2gjIs7zcsvv8Hp05UfNltd0tLSiIw8RO/ePQH7Irt4j6XZ7FbiWCPuu2+GraCMjo5h9uy3y7330Yj09Ax27dprm0nVYrFwyy0TufrqqwDo16+PragsPiGRxeJR8mSlKP43TUuAiNQPxsasiIhItTp27MISIu3aBZfT8oKimRwBw/dz1gXF7+vy9vYup+XFufLKobbHn3wy97IqKAF69ephe7xmzXqHC0qw9h7t2LHT9nzEiCsqdVzbtq1tv69ZWVm2ew/BumZl0Uyf6ekZ/O9/H17ULMHFX+8HH8ypEwVlkeKT6hT/ICguLs72uLRJmSqrUSN/W4/0uXPneOGF/6uygrI0mZmZfPPN97bnxSfXKf43rU2boEoNly4+4+vRo8eqJEYRqV4qKkVE6pBNm7balke44oohJWaq/LNevXrYlhM5dSqu1taivBjFlw8YPLh/tfVWFl8q4cyZ+Gq5Rl1WtIg9VM2HDz/9tMTWy3z11Vdx9dVXlfuza9GiOQ8+eK/t+fLlf9j1zDVqdCG+uLg4srOzLyq+4kts/HnymNrUsWMIHTuGANYhsQcPXliLctu2neTm5gLWnvWieyGNKpqACqwf2hSfTbW6FK3TCZCQcKGATU1NtU2A5e3dkOuvH1fueby8GjB27DW2544MfRaRmqfhryIidciZM/GsWLGSkSOH4+Fh4cUX/87Onbs4efKU3b1FZrMbrVsH0alTR8A6AcfcuV/Xy8kxduyIsC2+3rNnd2bPfoljx6LJyiq9qCg+XNCI48dPEBjYDIAHHribjRu3lFm4eHhUbpie/TEWrrlmZLnncnc32y3fUGTp0uXV/sa/+MyiPXp0w9u7oaHjT5yIZdOmLbbnUVHRfP31fKZMuQWTycSdd07h2mtHsX9/JMnJyeTl5ePk5ISHh4WgoFZ06NDe1kt14MBB5s9fWGZ8Pj4+peapIj/++LOt0HVzu3C+8eOvrfRalkXCwzcSF3e6wnZDhgykceOACtu5u7sTGNiU7t272vKwbNkKu8L67NlkfvzxZ2666XqcnZ158slHiIw8RFRUtN3kSKXZunU70dExAMTGWv9euLi40LRpE/72t8c4dOhImTkoWlbnzywWd8aMGVXudU0mE/7+fvTp08u2bfXqdXZtvv12Ac899yQuLi5MnDieXr16cuBApN1rd3Z2xt/fj7Cw7rb7dNev30Rk5CFEpO5TUSkiUsd88cU3WCwWhgwZiIuLC717h9G7d9nts7Oz+eSTuUREODYBR23Lzc3jvfc+5tFH/4LZbKZJk8Y0adK4yq+zcOFiunXrgoeHhUaN/O0m7KkKHh4eFRZC7u7upbZZvXpdjfQmFQkL605YWOWXqwBrL3rxohJgyZLlpKSkMnXqrXh5edG4cUC5BVZBQQGrVq3l88+/KncCF39/P4eKyp9/XlbqeSvqHSvN0aPHKl1UdunSyfD5w8M38u23C0psX7hwMa6urowbdw3Ozs6EhnYos+grLj4+wVZUZmRksmjRL7YcdunSyaEYLRaL4Z/Dr7+uYMOGzXbbDh06wjvvfMg999yFu7s7rVu3onXr8of3bty45aInphKRmqOiUkSkjsnPz+e99z5m5co1DB06iPbtg/H19cXd3YzJZCI/P5+MjEzi4k6zZ88+fv99FUlJZ2s77Iuye/dennnmea65ZiSdO4fi6+uD2Vz+Yu5GxcSc4Mknn2PMmFF07doJPz+/Sk+GJGULD9/I1q3bGTx4IF27dqJ16yAaNGiAh4eFnJxc0tPTOXMmnn37DrB27fpKFWqXoqysLJKTUzhy5Chr1qxn9+69Zbb97rsfWLduA8OGDaZjxxCaNm2MxWIxtGbjggWLOHToMCNHjqBly+b4+vpU+ZqPBQUFZGfncPbsWY4ciWL16nVlrvW6adNWIiMPMXz4FXTp0olmzZri4XHhNRXl59ChI+WeR0TqJqeAgJb1b6yUiIiIiIiI1AmaqEdEREREREQcpqJSREREREREHKaiUkRERERERBymolJEREREREQcpqJSREREREREHKaiUkRERERERBymolJEREREREQcVrWr4IqIiENat25Fu3Zt8fLywmS68Hnfvn0H2L8/shYjExERESmfikoRuaS4urrw4YdvYzab2b8/khdeeNm27667bmfEiCsBeOyxZ4iNPVVbYdp4eTXgoYfuo3Pn0DLblFdUPvvsE3Tq1LFKYnnoocdJSEisknPVhvvvn8ngwQPstuXm5nLmTDy//fYHy5f/Yeh8Xl5eDBs2iE6dOtK8eSANGjTAYnEnOzubc+fSOXUqjv37I1m9eh1JSWcdivmee+5i2LDBDh0L8MILL9t+Pxo18ue//30VsH4Y8e9/v+LweStSPO7iMVSVt956hYCARgBMnnxXlZ67LjOb3Rg/fix9+/YmIMAfV1fXEq9/3rw5FZ4nKyub9PR04uJOc/DgYcLDNxAbG1elsRbFER+fwKxZT1TpuS8VvXv35NFHHyQzM4tjx6JZtuw3tmzZXtthiVQLFZUicknp0CEEs9kMwK5de+32de3aGYCEhMQ6UVAC3H33neUWlHJxXF1dad48kGnTppCUdJatW3dU6rhx48Zw/fXjcHc3l9hnNpsxm834+/vRpUsnrr9+HEuX/sY333xPYWFhVb8EuUy4urrw978/RZs2rS/6XO7uZtzdrb+jnTuHMn78tWzatIU5c74gPT3j4oMVQywWd0JDOxAa2oF5877j55+X1XZIIlVORaWIXFKKCkeA3bv32B43bhxAkyaNz2/fV+NxlaZBA0969uwOwPHjMbz++tvExycYOseaNeHl9hKNHn01np4eACxf/jtpaefKbJuRUb/fbG7Zso3Tp8/YbevevSvt2rUFoF+/3pUqKqdNm8LIkVfZnp84EcvBg4dISUmloKAAk8lEgwaetG3bhuDgNri4uDBu3DU0bhzAW2+963D827dHEBV1zNAxxX9fMjIyWLBgUYnt1WHbth22Xu3qvtblYsiQQbaCMiUlhfDwTWRmZpZ7zMKFiykoKCix3WQy4enpQatWLQkJaYfJZGLAgH4EB7flH/94kZSU1IuOt+h3TUVq2WJjT7FgwSICA5vSr18fTCYTEyeO548/VpORUf7PVqS+UVEpIpeUoqIyLe0cUVHRJbYD7Nmzt8RxtaFJkya2+yd37Ihw6M35mjXh5e4fOnSQXVFZ1UPg6pItW7aXGFp28OBhnn76rwD4+flVeI7evcNsBWV2djbvv/8JmzZtLbN9x44hPPzwAzRs6EW/fr0ZMeJKVqxY6VD8O3ZE8Pvvqxw6FiAjI9P2Rr+6bd26o9K9vlI5nTtfGMb+0UefsX17RIXH/PjjYnJz88pt07hxADNnTqNz51AaNw7gkUf+wj//+Z+Ljremftfqs9jYOFuenJ2d6du3N2azmXbt2pYYSSNS36moFJFLRsOGXrRq1QKAvXv32w1F7Nq1EwAFBQXs2XNxPZUeHhauvHIo3bp1oUWL5nh6euLm5gpY72VKTU3lyJEo1q/fyLZtO0scX/x+sSLjx49l/PixJdouWLCoVt+8dejQnmHDBtOuXTC+vj5YLO6YTCby8/PJyMggLu40e/bs57ffVpKcnFzqOYYOHcS9904v9zoFBQWcO5dOTMwJNm/exsqVa8jLK//NcmUUP4eLS8X/5Y0ff63t8fz5C8stKAEOHDjIJ5/M5ZFHHgBg3Lhr+OOP1aX2HlW3iu6prMz9t7m5uaSmpnHkyFF++20le/fuL7VdRfdUenp6Mnr0CHr06ErTpk1tvzdl+e67H/jxx59L3VfWPYQ5OTkkJ6dw8OBhli79rcJe3qJ/t927d6VFi+Y0aOCJi4sLeXl5ZGRkcupUHHv37uePP1aXeY9sVb6uP/Py8rI9Pnmy6obnnzkTzyuvvMlLLz1PYGBTQkLa0bdvLzZv3laibbduXRg58iqCg9vi5dWgxGubMeMBWw9bafdUuru787//vYaHh/WDrDfeeIctW0pepzTF73n/9dcVfP75vBJtiv4etW8fjK+vLx4eFgAyM7NISUkhKiqaDRs2VfiBR7t2bbnmmpF06NAeb++GODs72+1/+ul/EB0dA4CbmxsjRlxJnz5hBAY2w8PDUqJ9cStXruGjjz4rsb34z7T4z1rkUqGiUkTqrdKKsyL9+/ehf/8+JbabTCY++OC/tudGJzTp2DGEWbPux9u7Yan7rfcyBdC4cQADBvRl7979/Pe/75U77LQucnZ25u6772TIkIFl7vfy8sLLy4v27dsxZsxIPv74c8LDNzp0PZPJRMOGXnTuHErnzqGMGHEFr7zyJomJSRfzMgxp1Mif4OA2gLUY/eOPNZU6buvW7SQnp+Dj401AQCPatWvLwYOHqzPUauPq6oq/vx/+/n707dubr7/+nsWLlxg6R2BgM5555nF8fX2qJ8jz3NzcaNz4wr+1Dz/8lLVr15fatnPnUP7yl3tK/Xfr4uJCw4ZeNGzoRYcO7RkzZiQffvgpGzdusWtX3a+reAGXn59fpefOzc1l+fLfmTbtNgCGDBlYoqicMuUWxowZeVHXycrKYuXKtVx77SgARoy4olJFpdlsZuDA/oD1A6Zly1bY7Xd1deHuu+9k0KABpR2OxeKOxeJO06ZNGDCgL3v27OONN/5HZmZWibZjxoxk8uRJ5X4YUMTHx5tnn32CwMBmFbatSPEPmsorSkXqKxWVIiKV1LhxAI899pDtU3hrL90+UlPTbL2iJpMJX18fevToho+PN507h/Loow/yr3/9n63N0qW/4enpQaNG/rbenmPHjrNtW8lP1/ftO1BDr87e7bffYiso8/LyiIjYzcmTp8jNzbW1MZvNtGkTRGhoB8xmM/fdN4P09HR27txd5nnLWiLFZDLh5+dLjx7d8PZuSMuWLXj00Qf5+9//XeVvsMsSHNzW9jgu7jRZWSXfkJamsLCQY8eO06NHVwDatw+u80Xl0qW/lXoPrYuLM82aNaVXr544Oztz8803sGvXHqKjj1f63PffP9NWeMXFnWbnzl0V3nd34MDBMveV1VPv6upKq1Yt6dGjK87OzkyfPpXdu/eSnJxi165Fi+b89a8P2SZdOnr0GAcPHrKLyWJxp02b1oSGdsDd3Z3775/J6dNn7IbQV/XrqmlHjhy1PQ4N7WC3r0+fMFtBee7cOTZv3sbZs8klzlH8339Zfv11BaNHj8DZ2ZnOnUNp0qRxiXud/2zQoP62XscdOyJKtJ8+/Q5bQZmRkcmOHREkJCSQl2f92+Ds7Iyvrw89e3anYUMvunTpxD33TOfNN9+xO0+bNkG2gjIrK5vNm7eSkJBYYoKtot+hO+64zVZQnj2bzJYt2yr8gLD474zI5URFpYjUW4sXL8Fi8bA9v/76sbi7u5OSksKSJb/Ztnft2okuXazDX1esWEl8/IVlMxITK7+ExsSJ420F5dq163n//U/KnO3TbHbj6acfIySkHR06tGfw4AG2XpRly6yxhYZ2sBWV0dHH68w9Sk2aNLYNQ8vKyuL55/+v3KKiT59ePPLIA5hMJqZOnUxExN/KzMv+/ZHlvk6LxZ2nn36Mdu3a0qZNEAMH9iuz96mq+fp62x6fO5du6Nhz5y680azuHrqqsHTp8nKXj7nyyqHMnDkNk8nEFVcMLnUoYmmaNGlM27atAWtO/va35ytdnJelon8XkybdwIQJY3Fzc2PQoP788suvdvtvuWWiraD8+uv5LF68tMxz3XDDddx44wRcXFwYP36srSipjtdV04oXQx4eHpjNZrKzswHrJEFFXn/9bSIjDzl8nYSERDZv3sqAAf0wmUwMHz6MefPml3vM8OHDbI+XLv3Nbl+bNq0ZOtQa35kz8eVONOTl1YBXX32Rhg296Nu3F61ateT48Rjb/iFDBtp6KOfMmcu6dRvKjMnV1ZVevXoA1l7Gv//93zU6ckKkvqm4719EpI5asWIVixcvYfHiJYSHb8Dd3R2wLiVStH3x4iW2T9fz8/PPv6m8sG/9+k2VupbJZKJ37zDbeb788ptyl4/Izs7h++9/tD0fNKi/g6+y5vXt29v2xmvlyrUV9lJt2bLN9ia0adMmttlWHZGZmcXChYttz/v16+3wuYyyWCy2x0bviSzem1r8g476qvi9wEXFVGU0bHjhXrHU1LQaKbyKx/rn5TgsFgs9enQDrL1PFS3lULyg6dKlE05OTkDtvK6q9uff6QYNPG2PmzVrYnt8+PBRLtaSJcttj4cOHVzucM82bVrbfm7Hjh0vMTpj4MB+tse//PJruTPXpqWdY926Cx9CdevW2W5/06ZNbY8rep2enp62+7BzcnIdXotW5HKhnkoRuSQUX+ux+EQ8JpOJDh1CADh6NKrUe2wqo2nTxlgs1qL19OkzlbpH8ujRKNvjqlh7rqa0bt3S9vjw4SOVOubo0WN06NAesL7WQ4cqd1zp57qQt9atgxw+j1GVuceqcudxcui46dOnMn36VEPHlDZJTlVITb3wxt3IpCLFRwEEBjZj4sTxLFv2W7UuO2EfawO7fW3aBNl+rtHRxytcRzQzM5Nz587RoEEDPDwseHp6cO5ceq28rupWVDCD9f7UIlUx3PzIkSgiIw/RoUN728zIZX2AV7yXsmgUR3HFP9SozJI7xX9W/v72Mz4XTagGVDgRWFqa9cMDd3d33N3N3HXX7Xz//Y9VshyLyKVIRaWIXBKKF5XFZ6wMDm5ju1dnz57SZ7KsjAYNLrxZrewbyeLrkHl6euDk5FThm9q6wLHXeqFd8V4dRxTPW/FYpHYYmVQkOTmZzZu30revtYd54sTxTJgwluPHYzh8+CiHDx/lyJGjVbq0TfF/U3+Otfjvor+/HxMnjq/wfMVnCXZ3d+fcufRaeV313S+//Gr7oGn48CtKLSotFndbT2RyckqpbYr/DAcPHkj37l3LvW7xD/CKRq84Ij8/n99/X22bdGj48Cu48sqhnDwZy+HDURw5Yv25x8ScqBd/10Wqm4pKEbkkFC2VEBsbZzdMqVOn0otNoy52tj6TyYSLi3OFa8rVBRf7WiuzdEf5LrxBK96zUN2qahkQR99gbt8eUamemOIcWdu0ur333iekp2cybNggTCYTzs7OtiGOV19tXQM0LS2NXbv2sHLl2mqdjKp4D1yLFs1p0aK5w+eqS6+rKlR3IbRt2w7i4k7TtGkTQkM70Lx5ICdPxtq1GTRogK3wW7FiZam9h8V/hkVryNaUr7+eT35+PmPGjMTFxQWTyUTLli1o2bIFV145BLB+CLZ3737Wrg3X2q1yWVNRKSL1TvE18v4sMLBpmevaPfvsE3bPJ0++q8pjk/qr+NBoo0Nhixfipc2qWhk7dkTw+++rHDq2LsnOzuajjz5l2bLl9O/fl549u9GyZQu7HHl5eTFo0AAGDRrAli3beeedD8nJyanFqCtW31/Xn3+nq3vobmFhIcuWrbAtYzJ8+DDmzv3ars3w4VcA1nsWV6xYWa3xOKKgoIBvvvmeP/5YzYABfQkL606bNq3tPjjz8LDQp08YffqEERl5iNmz/0daWlotRi1SO1RUiohUwsXeZ1RQUGCb/r6uu9jXWtG9ShW7cK9XTk7FSxhUleJLKBgddlu8fWlLMVyOYmJOEhOzkPnzF2I2m2nbtjXt2rWlfft2dOrU0TYsvU+fMCZNuoEvv/ymymMo3hu3YcMm3n77g4s+Z114XY4oPow0IyOzRiYbWr16LTfdNAFPT0+GDBnI119/b5s4rV27tgQFWe/fXr9+I6mppRdixX+Gjz32t1oZYnzmTDyLFv3CokW/4OrqQuvWQQQHt6V9+2C6dOlku5e3Q4f2zJhxB2+88b8aj1GktqmoFJF6Z9u2HXbLIQwa1J+mTa2zFy5cuNg2jDEwsCkDBljv19m5c7fdOm1GFV8youhNY0WKzyaanp5Rb+67udjXWtabw8ry9Lwwe2pNfuJf/PejWbMmWCzulZrYycnJidatW9meX8wkRZeq7Oxs9u+PtE0q5Orqwtix13DTTdcD0L9/n2opvor3GhcfRllVaut1OaJ9+2Db45paPzM7O4fff1/NddeNwdPTk4ED+7F69TrgQi8llFxGpLjq/hkalZubx6FDRzh06AjLlv2Gk5MTV1wxhLvuuh1nZ2fCwrrj6upaqTU9RS4lWlJEROqdrVt3sGDBIttXUUETE3OC+fMX2rbHxV1YQHvRop/tjjG6JuSpU6dtBUaTJo3tpuMvS3BwG9tjo/fK1aZjxy4sIdKuXXA5LS+oytdafLbHY8dqbiHxhIREjhyxzjzr7OzMlVcOq+AIqz59wvDxsa5xGR+fUCVLMlzqcnPzWLhwse0DjD/P2lpVTp06bXvcqlXLclpWjZp6XUaZzWZGjRphex4evrHGrv3rrytsoxeKCkkPDwv9+/cBrLN1x8ScKPP44j/DoKBWZbarLYWFhaxcuYbjx62vwdnZ2e6DMZHLhYpKEanXWrZsgbd3Q6DkRDxFM8JmZWVd9Bv9wsJCNm/eClgnornttpvtpuT/Mzc3N7uZJstbZLuu2bRpq62394orhtCyZYty2/fq1cM2y+OpU3EXlWuLxZ3rrx9nF0tN+vHHC2tk3nTTBPr27VVu+44dQ7jrrgvLgPz005Iqm/DnUte0aRM8PKxvvosvA1GVYmNPceLESQACAhpx440TquU6xdXE6zKiWbOmPP30X2ncOACwLv+zcePmGrv+2bPJbNy4Bbgw5HXw4IGYzWag/F5KwPZ3F+Cmm67Hz8+3+oJ1kJdXAxo3bgRY/7+52NEaIvWRhr+KSL3WpUvx9SkvFJXu7u62Hq8DBw5WydprCxcupk+fMDw8PBg2bDAhIe3YvXuf3RBNk8mEj48PPXp0xdfXx3b9muwZuFhnzsSzYsVKRo4cjoeHhRdf/Ds7d+7i5MlTdvdLms1utG4dZJt5t6CggLlzvy53mG9oaIdSl3UwmUz4+fnSo0c324cEUVHRbNhQuTe/jRr5lzp5U6NG/rbHfn6+pV67eK/1tm07WbZsBaNHj8BsNvPwww9w4sRJIiMPkZqaRkFBASaTCU9PT4KDWxMc3NZ27IYNmy+JiXYu1vXXjyt3oiMnJyd8fLzp3TvM1q5oSGR1+Oyzr3j66b/i7OzMDTdcR9++vTlwIJLU1LRyf1ejo4/bzeZZ114XwIQJ40r9EMNkMuHl1YCgoFYEB7exxZOYmMTs2W/X+FD8X375lcGDBwBw11234+dnXT8yNjaOHTsiyj1206at7Nmzjy5dOuHn58vrr/+H3bv3EhsbV+EQ06VLl9stUWTUqFEjKhyV4uXlRc+e3fD0tLZbt26DPliSy5KKShGp1zp37gRYJ5cpvgh8aGgH2wx9F7M+ZXFnzsTz2mv/Zdas+/H2bkizZk1p1qxpucfs3buf//73vXpzP2WRL774BovFwpAhA3FxcaF37zB69y67fXZ2Np98MpeIiN3lnrdTp462IrQ8MTEnmD377Up/GBAQ0KjCNQjLWqfwz0Oh586dR0JCIhMnjsdica9wKYqcnFx++WUZ33//Y6VivdTdcMN1hpal2bx5G0uW/Fpt8ezbd4D//vd97r57Gp6enrRoEUiLFoEVHrd69Tq7orKuvS7Arle/Ilu37uDjjz+rlV606OjjbNiwiQED+tG+fTvb9m+//b5Sx8+e/T/+8pd7CAvrjtlspnfvsEodt3r1uossKofb7tevjMjIQ3z99XyHrydSn6moFJF6y2Qy0bFjCGDt1crMvPDmoWjoK1zc+pR/duDAQR577G9ceeVQunXrQosWzfH09MDV1bqeYnZ2NqmpaRw5EsX69ZvYtm1HvSsowVqkv/fex6xcuYahQwfRvn0wvr6+uLubMZlM5Ofnk5GRSVzcafbs2cfvv6+yWx/UqIKCAtLT0zl+/ASbN29j1ao1tbqm55Ilv7JmzTqGDh1E586htGjRHC+vBri7u5Odnc25c+mcOhXH3r37WbMmXDO+GpCVlU1KSgrHjkUTHr6JrVu3V/s1t2zZxoEDkQwdOoju3bsSGNiMBg0aVOk6qBf7uor3bl3sWrFZWdmkp6cTF3eaw4ePEB6+yTYMuLZ89NHnFBZCjx7dyMzMZPHiJWzZUrkcZWVl8dprb9G5cyiDBvWnbds2+Pv7YbG4G17+pyoV/b2PiTnBpk1bWbduQ5l/74vHWRUjZ0TqGqeAgJb1792OiIjUG0OHDuLee6cDODRJksjl4MEH77HNVv3aa2+xfXv5w0Klfnn44fvp29c63OOll15n9+69tRyRSNVST6WIiIhILdu794CtqJw5cxrh4ZvIzMzUhzD1WNGyVs2aNbUN2c3OztYM0XJJ0uyvIiIiIrVs7dpw23I83t7ejBkzssL7hKVuCwxsxsSJ4xk4sJ9t+OuCBYvsbtUQuVSop1JERESkluXm5vGvf73MhAnX0rdvbwICGtkmG5P6LSsri6ioaJYtW8GWLdtqOxyRaqF7KkVERERERMRhGv4qIiIiIiIiDlNRKSIiIiIiIg5TUSl25s2bQ8eO7Ws7jHrBzc2Vbt1CqnSds0uZ8mWM8mWM8mWM8mWM8mWM8mWM8mWM8mVMTeVLRaWUUJsLCdcnzs4mnJyccHZWvipD+TJG+TJG+TJG+TJG+TJG+TJG+TJG+TKmpvKln4aIiIiIiIg4TEWliIiIiIiIOExFpYiIiIiIiDhMq+pKCUmnPyMlvkFth1HnpQBxx2s7ivpD+TJG+TJG+TJG+TJG+TJG+TJG+TJG+TImBQgJubHar6OeShEREREREXGYikoRERERERFxmIpKERERERERcZiKShERERERkRqUxyPk4FPGVxNy6EM+H5U4roA/yOU2cuhIDo3Of3UklykUsLoWXolVnZ6oZ8yYUUyZcjPPPPMvoqKO2e1zdXXlgw/eYtWqdcydO6/aYhg9+mqio4+zf39ktV1DREREREQuHyaGAeYy9mZRwCLyeRwnmmFiLAB5vEQBLwMWnBiGEy0BKCSGQn4nj59x5u8482iNvIbi6nRRuWHDJiZPvom+fcNKFJU9enTD3d2d9es3VmsM11xzNWvWhKuoFBERERGRKmFiAiYmlLk/nw7k8zQFrMbEWArYfr6g9MWVlTjR2q59IcfI5UryeQEnhmOie7XG/2d1uqg8ezaZ/fsj6d07jG+//cFuX//+vYmLO83hw0exWCzcfPNEwsK64+fnS3p6BkeORPHVV99y8mQsAB07hjBt2m00bx6Is7MzS5f+xjffzOfOO28nLKwHDRt62c6dlpbGM8/8i//+91UAJk4cz8SJ4wF44YWXCQxsxvTpU23t8/PzOX36DN999wObN28DYOjQQdx773S7mOPjE1i1ai0//vgzhYWFNGrkb7tGkdTUNCIidjN37tekp6cD4OPjzW23TaJTp1B8fX1ISUlh//6DfPnlNyQlnSU0tAPPPfek3XnS0s6xc+cu5syZS3Z2jsM/AxERERERqTmFJFPAYgCcaA5AAfMBMDGlREFpbdcaE7dRwP8oYL6Kyj8LD9/I3XffSWBgM2JjTwHWoa89e3Zn6dLfAJg27TbatAniyy+/IS3tHGazG6NHX81f//ogjz76NACzZt3Pvn37mTv3awoLC0lKOsuoUSMYOLA/7733EampabZr5ufnk5KSwgsvvMzjj89i06atrFkTDkB09HFOnTptiwWgWbOmTJlyC3/5yz089tgznDkTb9v36qtvkZWVhZOTE4GBzbjttkmkpKTyxx8Xxjx/990PREYeAqBhw4bcfPMN3HnnFP73vw8AePDBe3FycuKTT+aSmZmJh4eF66+/jvvum8GLL14oSj/88FNOnz4DgJdXA2bOnEZs7EgWLfq56n4gIiIiIiJS5QrJpYA55PMKkIgTXTFx1/l9hwFwom2ZxzsRfL7toRL7zGY3h2LKzMyuVLs6X1Ru3ryVO++cQp8+vWzFUY8eXXF3dyc8fANOTk7079+Hzz77ih07ImzHOTmZePzxWTRq5E9+fj7e3g3ZsGEL+/YdsLXx9fUlNzeHyMhDJCenlLj2/v2R5OcXkJCQaDf8NSMjk+TkZAC6devCrbfeyIEDB+nRoysdO4bYFZWRkQfJyMgEYN++A4SGhjBgQF+7ovLEiZN252/QwJM77piMk5MTvr4+hIZ24KWXXufAgQtt/Pz8uP32W3B2drZti4o6RnR0jO35sGGDadeuTeWTLSIiIiIiNa6AReTxPHAU8MTEEzjzKE64n2+Ref57ecVh0b70EnuCggIdiisionK3ANb5ojIjI5OIiN306RNmKyr79etDVFQ0sbFx+Pr64OrqysyZ05g5c1qJ4z09PUhPzzj/rNBu38qVaxg0qD9vv/0aMTEnOHz4KDt37mLHjl0UFhaWONefXXvtKG699SaWLVvBV199y1dffYKHh0e5xyQnp9KmTety26SkpODi4oKvrw+NGvkD8PTTfy21bXmfOuTn51cYj4iIiIiI1I4CtpDPsxSyCXDFxEyceRwnGlfpdaKjY6v1lrg6X1SCdQjsrFn34+/vR2pqKj17dueHHxYB2Hrq5s37jgMHDpY49tSp03b3SxZ34sRJHnnkKfr0CSM0tAOdO4cyYsSV7Nmzj5deer3cwnLGjDsYOnQQH3/8OatWra2CV1k6k8m66su7735EXNzpEvszM7Oq7doiIiIiIlI98vg3BcwGwMQknPlbqfdLWlnOfy+vMCza51liT3Z2TqWHsjqiXhSV27fvJCMjkz59epGQkIDZ7Mb69ZsAbL2QmZlZHD581PC5MzMzWbMm3HbP5MiRVzFt2hQCAhpx5kw8hYUFJY4ZMKAvV101jP/85zX27Nln6Ho+Pg1JTEwqt423tzd5eXmcPZtMgwYNAOsEPo68PhERERERqVvy+Z4CXgPa4cIcTHQrt70T7SjkNwo5UmabC/ddtq/KUCulXhSVubl5bNy4mSFDBpKamsrevfs5ezYZsBaFW7duZ8KEseTk5JCQkGg7rqCgwDYBTmkaNfInIKCR7bmzszPt2weTlZVlu8cyISGRkJB2dOrUkcLCQqKjj+Pl1YCCggK8vLwIDe1QbuwdOoQUm6inKWFhPfjqq2/t2rRo0dxWHDds2JBrrx3Fli3bKSwsJCbmBFFR0dx22yQsFgupqam247Kzszl69FilcigiIiIiInVDAdZRly68XWFBCWDiJgp4jwK+pJDpOGE/b0ohURTwJeCEiZuqI+Ry1YuiEuCHH37imWcex9e3Fa+99pbdvg8+mMPNN0/k5psn4uPjbRsympWVxV133V/mOYcNG2xbKsTaPptTp+J48813ycmxdh/Pnfs1M2ZM429/ewyTycQLL7zM2rUb6N69K3ffPQ2zuaxFS60ef3yW7XFiYhJLlizn999X27WZNOkG2+O0tHPs3r2Xzz77EoDCwkJef/2/TJ48iWnTJuPl5WV7fTExJ3jyyb+Xe30REREREalrzgJQwKe2ArM0Jkac/wrDxJMU8DK5DMSJYTjREoBCYihkNZCJM3+v8eVEAJwCAlpWPCONGFa0TuWMGQ/YZn/9s6J1KmfPfputW3fUcISlmzdvDo8+GErkgQa1HYqIiIiIyCUpl2spJLzCdiaexIWnbc8LWEk+H1HINqBohKY/TvTGmbsxMazEOYaOuJGDB4/pnkoREREREZFLhSu/OHSciSsxcWUVR3PxVFRWk+KT/5QlISGRyZPvqqGIREREREREqp6ptgMQERERERGR+ks9lVKCX5NpeCdG1nYYdZ7FYiYkpHW1j1G/VChfxihfxihfxihfxihfxihfxihfxihfxlgsZihz7cuqo55KERERERERcZiKShEREREREXGYikoRERERERFxmIpKERERERERcZgm6pESTs9+inhXp9oOo144XtsB1DPKlzHKlzHKlzHKlzHKlzHKlzHKlzHKlzEhj75U7ddQT6WIiIiIiIg4TEWliIiIiIiIOExFpYiIiIiIiDhM91SKiIiIiIjUpBfegPk/l77PzRUCm8LkCXDLBPt967fCdz/B7gNwNtm6zdcHuoXCzeOhf1j1xVwOFZUVeOutVwgIaGS3LScnhzNn4vn552WsWRNeS5HZGzp0EPfeO50ZMx4gIyOTe+65i6CgVvztb/+s7dBERERERKS4fmHg5lb6vuxs+G0N/OdtaNwIrhps3f7u5/D+XHA3W49v1ti6/dQZCN8Cv6+Dh6bDjMk18xqKUVFZCZs2bWX58t9tz00mE126dOLuu+8kOjqG6GjNQSUiIiIiIpU0cpj1qyxtg+CVd2HTDmtRueeAtaD09oKv34MWzezbnzgFt94Hb8+BQX0gtH31xv8nKiorISnpLPv3R9pti44+zvjx19KiRSAvvfRP5s79mmXLfrPtHz36aqZOvZXJk+8C4NZbb2Lw4AF4ezfEZLpwK+udd95HQUE+d955O2FhPWjY0Mu2Ly0tjXvumQVA27atufXWm2jTJgiz2UxS0lk2bdrCt9/+QH5+fnW+fBERERERqSmp56y9jgBNzo+YXPKH9fuEa0oWlGDdNn40zJ0Pv/yuorIuc3Z2xmRywmQy0bVrZwASE5MqPK5fvz6MG3cNH330GXFxp+325eTkcO21oxg4sD/vvfcRqalptn1FxWKDBp489dSjbN68jcWLl5Cbm4e/vx+3334rmZlZLFy4uApfpYiIiIiI1LjcPJi/GD74As6mQMd2MOk6675jMdbvrQLLPj6o+fm2JUdRms1lDLWtQGZmdqXaqaispMGDB3DvvdNtvYz5+fmsXbueyMhDFR7r6+tDQUEBBw8e5uTJ2FL2+5Kbm0Nk5CGSk1NK7O/Roxvu7u588cU3FBRYC83Dh4/Qs2d3OncOVVEpIiIiIlKf/bYG3voYjp8Eizvcc7v13siiYjD7fHHn5lr2OYr2ZWaV2BUUVE4xWo6IiMiKG6GistJiY09RUFBAbGwc77zzAQkJiaSnZ1Tq2I0bNzN69AhefvlfxMbGceTIUXbt2sPmzdvIz89n5co1DBrUn7fffo2YmBMcPnyUnTt3sWPHLgoLC/H398fFxYVPP32vxLmPlfJJhIiIiIiI1AMR++D192HnXnBxgVvGwz1TwN+vSi8THR1LdnZOlZ6zOBWVlXT06DE+++wrZsy4g7CwHoZ6B5OTU3j88WcJC+tB584dCQlpx7Bhgzl+/AT/+Me/OXHiJI888hR9+oQRGtqBzp1DGTHiSvbs2cdLL72Os7OJzMwsXnrptRLnzs6uXJe0iIiIiIjUIf/7FD6eZ308dgTcP630+yUBzGbr95zcss9XtM/iXmJXdnZOpYeyOkJFpQF//LGali2bM3Hi+PO9jXsByMzMwsXFudxjc3Nz2bRpC5s2bQGgZ8/uPP74LIKD27Jv3wEyMzNZsybctkTJyJFXMW3aFAICGpGRkYHZ7EZMzIlq/YRBRERERERqwJI/4MMvIagFvPqc9f7J8rRuCes2Q/TJsttEnzjftlXVxVlJKioN+uKLbwgMbMYDD9zNM8/8i4SERI4cOcrgwQNJSEgkLy8PgJYtW9iO8fZuSGDghU8dnJyc6Ny5I/n5+SQkJNKokb/dWpjOzs60bx9MVlYWyckpbNmynRtvvJ7777+blSvX2PVOnj17lri4MzXwykVEREREpEr8tsb6/fnHKi4oAcZcBV8ugB+Xwc3XQcs/3SMZEwsLl4GTE1w7vOrjrYCKSoMKCgr473/f4/nnn2XWrPt5/vmXmDPnC2bMuIO7774Ld3dziWO6d+/KvfdOtz3PycnlzJl43n//E86ciWfixPFMnDjetj8rK5tTp+J48813ycnJITExiVdeeYNJk27ggQfuxtPTw9Z2+fLf+eyzr6r3RYuIiIiISNVJTbV+//7nCwVmaQb1gcF9oUtHuHeqda3KiTOgXxg0a2xtc+oMbNoOWdnw0PQaX04EwCkgoGVhjV9V6qx58+bwoJ8TB1ydajsUEREREZFL012PwtaIitvdOxXuv+PC8w1b4ZtFsPsAFK0a4eMN3ULh1uuhX88Spxjx6EscPHhM91SKiIiIiIhcMubMduy4Ab2tX3WMqbYDEBERERERkfpLPZVSQpNH/4/EfZVb6PRyZrGYCQlpXe3DCS4VypcxypcxypcxypcxypcxypcxypcxypcxFosZQlpX+3XUUykiIiIiIiIOU1EpIiIiIiIiDlNRKSIiIiIiIg5TUSkiIiIiIiIO00Q9UkLS6c9IiW9Q22HUeSlA3PHajqL+UL6MUb6MUb6MUb6MUb6MUb6MUb6Mqcv58g7oWtsh1Br1VIqIiIiIiIjDVFSKiIiIiIiIw1RUioiIiIiIiMNUVIqIiIiIyCUpj5fIwef8ly85hFHAplLbFrCOPO4ih67k0Oz8MU3IoQt53EkBm2s4+vpDE/VUkbfeeoWAgEZ229LTMzh6NIpvvllAVNSx2glMREREROQyZaIPcC8AhcRQyC/kMxsT39q1K2ADeVwHuOHEcJwIBJyBHAo5SQG/UMAiXPgKE9fU9Muo81RUVqFNm7ayfPnvtudmsxsjRlzFU089wqOPPk16ekYtRiciIiIicnkxMQITIwAoJJpcfgHOlGhXwI9AAc68gjNTS9m/izyuIo9/4KaisgQVlVUoKeks+/dH2m2Lj0/k1Vf/TXBwG86cSWDKlJtp3z4YT09PkpNT2LlzF/PmfUdGRiYAV199FdddNwZ/fz8AZs9+m61bd9CtW2duuul6mjdvjouLMwkJiaxcuZbFi5cApfeUJiYm8dFHn7Jr194aePUiIiIiIvVBYSnb0gBwok2pR5johhPtKOQAhSTihH81xlf/qKisZvn5eQC4urryxBMPExNzknff/ZicnBwaNvTilltuZMqUW/jww09p0aI5d9wxmfnzF3Lw4GEATpw4SbNmTXnssVksXryUb7/9gYKCApo1a8rUqbeSnJzM2rXrefvt93F1dbVd19XVhUce+Qs9enRTUSkiIiIiUi7rGu2FxJXTpqiQTCz2WEBFZZUymZxwdb2QUjc3M1dcMZT8/HzS0zNo2rQJr776FgkJCbY2bdu2oX//PgAEBbXEZDKxYsVKu6GyI0Zcydmzyfz442LbtkOHDjN06CA6derI2rXrOXz4qG2fj483s2bdT0ZGJr/+emE4roiIiIiIlGRiOAV8SD6PUcjvgE+JNoVEnf+eh1Mp57BYzNUaoyPMZje770ZlZmZXqp2Kyio0atQIRo0aYbft3LlzfPTRZ7bhrK+//p8SxxUVkM7OzgAUFtp3yfv7+xEQ0IjPP/+wxLEpKSl2z0NC2jFr1v0kJZ3luedeICnprOMvSERERETkMmBiFM68TwGfUMAyILmc1qWVlBAS0roaIqsaQUGBDh0XERFZcSNUVFapDRs2sXTpbwAUFkJmZiZnzsSTl5fHkCEDAfjPf14jKyvL7rj8/IJyz+vs7MypU3G8997HJfadO5duezxixBVMnTqZDRs28/HHn5Gbm3exL0lERERE5LLgzC04c0uZ+3O5kkJ24IRHqfsPHjxWTZE5zmx2IygokOjoWLKzc6rtOioqq1BycqrdMNTiMjKsvZFJSUnExpY3Vruk9PQM3N3dyzw3wJQptzBq1HC+/no+S5YsN3R+EREREREpWyG554e/NgBalNqmskNFa0N2dk61xqeisobs3XuAhIREpk+/g6VLl9vdM3nu3DliYk6Weez69RsZOfIqZsy4g82bt5Gbm2vbd/r0GTIzsxg9egTh4RuJioomNLSDbX9mZibHjh2vnhclIiIiInIZKOB/QDImpuCEc22HU+eoqKwhWVlZvPzyG0yefBMzZ96Jl1cD277t2yN47bW3yjz26NFjvPnmO1x//XUMGNAPi8Xdtu+rr75lyZLl7Ny5mwED+tqG2RY5dOgI//jHi1X/gkRERERE6rh8XqaQojlGrMuGFHKSPJ6ytXHmSSCFfN4v5QxZFBJBITuAYJx5vrpDrpecAgJalrZQi1ym5s2bw6MPhhJ5oEHFjUVERERE6rAcugIx5bZxJYJCYsnjmlL2euFEW0yMwcR9ONGwzPN4B3S9uGCrgcViJiSkNQcPHtPwVxEREREREaPc2F2pdk4E4VbujK9SHlNtByAiIiIiIiL1l4pKERERERERcZiGv0oJfk2m4Z1YuYVOL2c1NUb9UqF8GaN8GaN8GaN8GaN8GaN8GaN8GaN81U3qqRQRERERERGHqagUERERERERh6moFBEREREREYepqBQRERERERGHaaIeKeH/Tp/AJb78RWLlvOOHazuC+kX5Mkb5Mkb5Mkb5Mkb5Mkb5Mkb5MqaO5mtMQMvaDqHWqKdSREREREREHKaiUkRERERERBymolJEREREREQcpnsqRURERETkkvQh8NH5x05AC+AfQPdS2m4DFgB7gCQgG3AD/IAuwK1At2qOt75ST2UF3nrrFW6//dZqO/+zzz7Bo4/+pdrOLyIiIiJyueoC3HL+axgQA3xWSrudwP3AGqADMP78MeOAdsBqYOb5/VKSeipFREREROSSNPD8F0AssApILKXdCqAAeBxrQflnkcAdwNvA0CqPsv5TUXmRrrnmaoYPv4LGjQPIy8vn1KlTLFjwE9u37wTAYrFw66030qtXT3x9fWzHvf/+J6xZE17ifE2bNmHKlJtp3z4YT09PkpNT2LlzF/PmfUdGRiYAV199FdddNwZ/fz8AZs9+m61bd9C9e1cmTbqe5s2b4+bmCkB8fAKzZj1RvUkQEREREanH0s9/b1HG/g5AKyAKSAZ8qj+kekVF5UUYNmwwEydO4KuvvuX06TOYTCZ69OjKrFn38cQTz3H69BmmT59KcHAbvvrqW86eTbYdGxt7qsT5nJ2deeKJh4mJOcm7735MTk4ODRt6ccstNzJlyi18+OGntGjRnDvumMz8+Qs5eNC6Rs+JEydp0aI5f/3rg/z220q++WYBeXl5AOTm5tZILkRERERE6ivP89/jy2njS/lFpcVirtqgqoDZ7Gb33ajMzOxKtVNReREGDerPtm07WLduvW3bkSNHGTNmFB06tCc+PoG+fXvx2WdfsX79pgrP165dW5o2bcKrr75FQkKCbXvbtm3o378PAEFBLTGZTKxYsZL09Axbm6uvvorU1DS++OLrKnyFIiIiIiKXvv7At8ArwEbAq5Q2J85/zyvjHCEhras+sCoSFBTo0HEREZGVaqei8iI0auRPly6dGDJkYIl9Hh4e+Ph44+LiQmpqaqXPB/D66/8psa+ogHR2dgagsLDQbr+/vz+pqWmG4hcRERERERgMPA98D6wFynv37lTG9oMHj1VxVBfPbHYjKCiQ6OhYsrNzqu06KiovgslkYsOGTSxd+luJffHxCbYC0Mj5AP7zn9fIysqy25efX+B4oCIiIiIiUq4x57/KMhXYD1jK2F/ZoaK1ITs7p1rjU1F5ETIyrL2Hhw8fLXW/yWQiLy8PL6/SOtDLPl9SUhKxsXGGYklMTKR79y6GjhERERERkYrlAScBD6BJLcdSF6morIQmTQLo3btnie2bNm1j4sTrGDt2NFFR0RQUXOhNjIqKJisriy1btjFu3DVkZWWRnJxi2x8be4qUFPuO9b17D5CQkMj06XewdOlyu3smz507R0zMyTJj3LJlGxMmjGXKlJuJiNhjN1FPWUWviIiIiIhU7EusQ2KvA4yNRbw8qKishLCwHoSF9Six/dFHnyI/P4+rrhqGv78frq6utn3PPPMvoqKOMWfOF9x6603cfvut+Ph42/aXtqRIVlYWL7/8BpMn38TMmXfi5dXAtm/79ghee+2tMmOMiTnJG2+8w403TmDEiKu0pIiIiIiIXPY+4sL9kUXLhpwGXi/WZgZwDvimlOOzgQNYh722Ah6snjDrPaeAgJaFFTeTy8W8eXNo8OCDuBw4UNuhiIiIiIhclOuAkgv52VsEnAFmlrLPE2gJDAVuBRqU0qbImICWjoRYrSwWMyEhrTl48JjuqRQRERERETHqp0q2CwS2VGcglzhTbQcgIiIiIiIi9ZeKShEREREREXGYhr9KCU81acG+xPSKG17mamqM+qVC+TJG+TJG+TJG+TJG+TJG+TJG+TJG+aqb1FMpIiIiIiIiDlNRKSIiIiIiIg5TUSkiIiIiIiIO0z2VUsLp2U8R7+pU22HUC8drO4B6RvkyRvkyRvkyRvkyRvkyRvkyRvkypq7mK2D4tNoOodaop1JEREREREQcpqJSREREREREHKaiUkRERERERBymeypFREREROTS9O7n8P5c62MnJ2gZCP9+Enp0Ltl2awR89xPs2g9JyZCVDW6u4O8L3TrBlBugeynHiYpKERERERG5RHULhdtusD4+dRr+CIePv4L//ce+3fbdMOMxcHWBQX2gSQCYTJCTC6fPWI/7bQ28+TxcMbDmX0cdd9kUlW+99Qpbt+7giy++LrFv4sTxjB59NTNn/qXarv/ss0+QkZHB7Nn/A2DevDnMnfs1y5b9Zoth69btREfHVFsMIiIiIiKXlcF9rV8AJ+OsxWFicsl2y1dDQQE8/SDcMKbk/gOHYfL98MZHKipLcdkUlbXtiy++Jj+/oMz9EyeOJz4+QUWliIiIiEh1KiwsuS09w/q9ZWDpx3RsB0Et4Eg0nE0BX+/qi68eUlFZTGBgU157zb4rPDExiTVrwpk/fyEAoaEdeO65J8s9T05ODlFR0Xz88eecPBkLwO2332rXU1mk+PnuvXc69947HYCHHnqchIRE2rcPZvLkSbRs2RwPDw8SE5PYtWsv8+Z9R3p6OmDt9SwuKyubo0ej+Pjjz4mLO+1gNkRERERELhOeHtbvZxLLbuPrA0RDsorKP7usikqTyQlX15Iv2WSyToKbkJDECy+8bNtusbgzdepkrr9+HLGxpwgP32jb9+GHn3L69BkAOnRoz6RJN/D22++TnJyCs7Mz118/jnvvnc5zz71QbkzR0cd59dW3ePzxWfz00xIiInYDkJKSQsOGDXnyyUeJiNjFwoWLyc3NxcurATfeeD333HMXs2e/bTvP8uW/s2nTVgBcXV2YNGkid945hZdeet3BbImIiIiIXCYG9oZ5C+E//4X1W6ChV8k2x09av+fll3oKi8VcjQE6xmx2s/tuVGZmdqXaXVZF5ahRIxg1akSp+9LTM8jJyWH//kgAGjcO4LHHHqKgoIBTp+Lo0qWTXVEZFXXMNlTV8/wnG4cOHSEhwfrpRqNG/syYcQcuLi7k5eWVGVNGRiaRkQcBiI09Zbs+wIABXXF3N/Phh5+SnZ1j2+7s7MKDD96Du7s7WVlZAMTFnbE7tlWrlkyYMK7yyRERERERuVwN7Q8vPgXfLoLVGyE1rey2Tk6lbg4JaV09sVWBoKAyhvVWICIisuJGXGZF5YYNm1i69LcS26+8cih9+/a2Pe/SpRMPPngvx4/H8Oab7/LIIw/YCsfKKigowGQy4ebmWm5RWR5/fz8yM7PsCkqA5ORkAAIC/ImJOVnqsXl5+Xh4WBy6roiIiIjIZWfc1davstx6P+yNBIt7qbsPHjxWPXFdBLPZjaCgQKKjY0vUFFXpsioqk5NTOXz4aInt3bt3tT0eNmww06dPZfXqdXz22Vfk55fevS0iIiIiIpeJ3DyIiQUPCzQNKLVJZYeK1obs7Jxqje+yKior4ufny/TpU/n552V8990PNXbdwtJmoMI6SZDF4o6bmxs5ORc+WfDxsd4YHB9fzo3EIiIiIiJSNebOtw6JvX40ODvXdjR1jorKYjw8PHBxccHJyYnQ0A522zMyMqrtupmZWZw7d44uXToRH58AwOHDR9i5czdZWdnMnDmNtWvXk5ubS4MGDZgwYSxbt+6w3U8pIiIiIiKleH8upJy/P7Jo2ZC4M/DyOxfa3Hs7pKXDV6V0KmVnw/7D1mGvQc3h4burP+Z6SEVlMSdOnOTnn5cxfPgwxo+/1m5fQkJCtV77448/Z8qUWxg8eABwYUmRl1+ezeTJk3joofvw8LCQlHSWiIg9zJv3XbXGIyIiIiJS7/24DGL/tMReUrJ9ATllIpxJKL2o9PSAVs3h/jus7Rp4Vmu49ZVTQEDL0sdeymVp3rw5POjnxAHX0me1EhERERGRkgKGT6vtEEqwWMyEhLTm4MFj1XpPpanaziwiIiIiIiKXPBWVIiIiIiIi4jDdUyklNHn0/0jcV7mFTi9nNTWc4FKhfBmjfBmjfBmjfBmjfBmjfBmjfBmjfNVN6qkUERERERERh6moFBEREREREYepqBQRERERERGHqagUERERERERh2miHilh0cQTeI+Oqe0w6onDMLy2Y6hPlC9jlC9jlC9jlC9jlC9jlC9j6ma+Gs9uWdshSD2hnkoRERERERFxmIpKERERERERcZiKShEREREREXGY7qkUEREREakn/rkCnv/d+tjJCYL94PObYGCQfbtp8+Hz7WWfp7xjRYxSUemgfv16M336VJKSzvLqq2+RmJhkt3/06KuZOvVWJk++q1quP3HieEaPvpqZM/9SLecXERERkbqnf0uYNdD6ODoZftwH/1kJP0+zbzeyPfi4l32eo2dh8X54f5OKSrl4KioddN11Yzh8OApPTwv33z+TF154uUavv3r1Ovbs2Vej1xQRERGR2jW6g/UL4NhZa1F5+lzJdpN7WL/K8uJKa1HZqXF1RCmXGxWVDmrQoAEHDhxi1aq1/Oc//2DIkIGsXbu+1Laenh5MnjyJbt264OvrQ3Z2DsePx/DNN98TGXkIAGdnZ+68cwr9+vXG09MTgBkzHiA7O6fU7cOGDbbrqRwzZhSjRg3H398Pk+nCrbJPPPEcJ06crM5UiIiIiEgtKjTY/sAZeOEPaNwA7utfLSHJZUZF5UWKiTnB77+vYvLkm9i2bQcZGZkl2tx111TatWvLvHnzSU5OxtXVhb59e/Pkk4/w2GPPkJR0lquuGsbAgf15//2PSUuzftyUlZXN8OFXlLq9uODgNkyZcjPz5y/kwIGDdvvi4+Or6ZWLiIiISH1TUAB3LYDsPHh7HHiXM0TWYjHXXGCVZDa72X2X8l1svjIzsytuhIrKKjF//kL69+/LpEk38NlnX9ntM5lM9OkTxty589iwYZNt+549+xk4sB+9e4exfPnvBAW15PTpM2zevM3u+LK2F+fr6wPA0aPH2L8/supemIiIiIhcUt5aDxuOw/hOMKlb+W1DQlrXSEyOCAoKrO0Q6hVH8xURUbnaQkVlFUhPz+Cbb75n+vSprFy5lujo47Z9Pj7euLi4kJycYndMQUEBaWnnCAhoBFiHvxYWlhy8UNb24nbv3svRo8d48slHOHMmnkOHjrBnzz42bdpKVlZWFbxCEREREanvjiTCs8utvZPvjq+4/cGDx6o9JqPMZjeCggKJjo4lOzuntsOp82oqXyoqq8iqVWsZPnwYd945hX/+8z81eu3s7Bz+/vd/0717V7p06URISDADBvTlppuu59lnXyA5OblG4xERERGRuqWwEKYvgIxc+HAsBDas+JjKDn2sDdnZOXU6vrqmuvOlorIKffbZVzz//DMMGzbYti05OYW8vDy8vb3t2ppMJry8GhAfn1Al1y4oKGDHjgh27IgAoEWL5rzyygt0796F1avXVck1RERERKR+encjrI6CK9vCzL61HY1calRUVqEjR6JYuXINkydP4vjxGNLTMygoKGDLlu2MG3cNGRkZJCen4OrqQp8+vQDYurWcVWkrycPDQlBQK9tzJycngoPbAnD69JmLPr+IiIiI1F/RZ+GpZWBxhY9uqO1o5FKkorKKffHFNzRt2oS2bduwcOFPAMyZM5fJkycxefIkuyVFXn75DZKSzl70NYOCWvHcc0/anufl5ZGYmMSXX35bYjZYEREREam//vU7JGVYH6eeH80YkwIPL77Q5u/Dwc/jwvMZP8C5HHj1Ggj2r7lY5fLhFBDQ0ujSNnIJmzdvDn32P4h3+oHaDkVERERE/qT1yxCdXH6bqCegta/18cdbYOYP0Ls5bLwfnE3lH1tc49ktHY6zulgsZkJCWnPw4DHdU1kJNZUv9VSKiIiIiNQTx56suE1xM/pYv0Sqk4HPKkRERERERETsqagUERERERERh2n4q5QwfkEL9u1Lr+0w6jyN6TdG+TJG+TJG+TJG+TJG+TJG+TJG+ZJLgXoqRURERERExGEqKkVERERERMRhKipFRERERETEYSoqRURERERExGGaqEdKOD35e+IzvWs7jHrheG0HUM8oX8YoX8YoX8YoX8YoX8YoX8aE/Hx1bYcgclHUUykiIiIiIiIOU1EpIiIiIiIiDlNRKSIiIiIiIg7TPZUiIiIiIn+29J/w6/PWx05O4B8Mt30ObQaW3v5sDKx8HSKXw9njkJNess0/Y8CnRbWFLFJbVFRWI2dnZyZMGMugQf1p1MgfFxcXsrOzOXEill9+WcbGjVtqO0QRERERKU3r/jB0lvXx2WjY/SP89h+4++eSbU/sgHeHQ04GhAyH9leCybVkO7NXtYYsUltUVFaju+++k759e/Hjj79w9GgUeXl5WCzuhIX14KGH7sPV1ZW1a9fXdpgiIiIi8meho61fAInHrEVl2unS286bBrmZ8OgWCOxaQwGK1B0qKquJn58vgwb1Z+HCxSxaZP+J1vbtETRr1pQJE8aydu16mjVryu2330L79u3w9PSwtXvoocdJSEikefNApky5mbZt2+Dl1YCUlBQOHDjEl19+Q2JiEgBvvfUKAQGNbMfm5ORy4sRJPv30C44ciaqZFy0iIiJySSssuenUHojdBd1vVEEply0VldWkRYtATCYTR44cLXX/kSNHGTv2Gnx8vHniiYc5ffoM7733EZmZWbY2KSkpuLq62Pa///4nZGVlYbFYGDfuGh599EGeffZfFBZa/8Bt2rSV5ct/B6xDb8eMGcUDD9zNo48+Xf0vWERERORydPqA9XviEfjhYft9TibwagItekKHq633ZpbBbHarvhgvIUV5Ur4q52LzlZmZXal2Kiqribe3NwDZ2Tml7i/a3rRpE5o0aczLL79BXFzJIRWhoR0ICGjEyy+/QWzsKdv2tLQ0nn/+GVq0CCQm5iQASUln2b8/0tbG09ODWbPux9PTk/T0Um4WFxEREZGLUzQhz4kd1q+ytB0MD/wBzqXcawkEBQVWQ3CXLuXLGEfzFRERWXEjVFTWuqIhq6mpqaXu9/f3AyA5Odlu+9mzybbji4rKP8vPzwfAYnFXUSkiIiJSHc6PGOPKv8L410ruS4mFr26HQythz2LofkOpp4mOji2zM0IuMJvdCAoKVL4qqabypaKymqSkpABldzUXbS8auioiIiIi9ZDJ2fq9tPd0Tk7g0xx63mItKs+U3euTnZ1T6aGGonwZVd35MlXbmS9zJ07EUlBQQNu2bUrd37ZtG+LiTpOQkAhAw4alTzFdNBGPj4+33fai5/HxCVUVsoiIiIgY5Xl+osT0ct6TOZ/vZMhXz5pcmtRTWU2Sks6yYcMmxo4dTV5eHlFR0eTl5eHu7k7Pnt3o1KkjH3wwhyNHojhzJp6pU2/jt9/+ICvrwkQ9hw8f4fDhI8THJzB16mSWLVtBdnY2Fos71147mqioaE6ciK3FVykiIiJymQvqBy5m2L/UuuSIV5OSbU7utH4vbZ/IJUBFZTV6//05TJgwliuuGMKNN07AxcWFnJwcYmJO8vbb77Nhw2YAXnnlTW6//RYeeGAmHh4llxQp2n/ffTPOLymSyoEDB3n33Y80fFZERESkOiz7F2RYR4yRdX7ui7Mx9jO8jvo7ePrB8Kfg1+fhhWDoOBIaNgOTq7VnMv4gHPoDLD7QdUINvwiRmuEUENBSVYnYzJs3hweP9uFApnfFjUVEREQuVc+3hrPR5bd5Lgr8W1sf75wPG+fAyR2QnggFeWBuYC0wO1wNwx6GgPalnmbEz1dz8OAx3SNYCRaLmZCQ1spXJdVUvtRTKSIiIiLyZ/84Zqx9j5usXyKXIU3UIyIiIiIiIg5TT6WU0GTejSTuq9xCp5czDb8wRvkyRvkyRvkyRvkyRvkyRvkyxmIxQ0jr2g5D5KKop1JEREREREQcpqJSREREREREHKaiUkRERERERBymolJEREREREQcpol6pIT/O30Cl/iY2g6jfjh+uLYjqF+UL2OUL2OUL2OUL2OUL2OUL0Oe1kQ9Us+pp1JEREREREQcpqJSREREREREHKaiUkRERERERBymeypFRERERP7kQ+Cj84+dgBbAP4DuZbSPA74CNp1/nFlKm5+BJlUbpkidoKKyGgwZMpCxY0fTpElj3Nzc7PbNmPEAGRml/Zm5IDS0A8899yRPP/0PoqM1YY6IiIhITesC3HL+cRywCvgMeKOUtpHA/UAW0AfoRelvsj2rOkiROkJFZRVr3z6Ye+65i8WLl7B37wHy8/Pt9mdlZVd4jujo47zwwsvExZ2prjBFREREpBwDz38BxGItKhPLaPs8kA18DrSr9shE6h4VlVUsJKQdBQUFfPfdQgoLC0vs79atC0899ajteUFBAQkJiSxZ8ivLl/8BQFBQK7ueynvuuYthwwbbHRMfn8DChYtZsyYcgLfeeoWAgEZ210pMTOKjjz5l16691fFSRURERC57h4FDwHBUUMrlS0VlFTt5MhYXFxcefPBefvnlV44cOWq3/8iRKF544WXbcx8fb+644zamTZtCdHQMkZGHSj1vXNxpPvroMwCcnJzo3r0rM2bcwb59B0hISOTtt9/H1dXV1t7V1YVHHvkLPXp0U1EpIiIiUk2iz38/Abz+p30mwA/oAPTDem+myKVIRWUV27lzNwsWLGLcuGvo378PZ88ms2NHBGvWhHPw4GHS09PZvz8SgDZtWjN58iTi4xMA6NKlU5lFZVZWtu04gJiYk4wbdw1t2gSRkJDI4cMXilcfH29mzbqfjIxMfv3192p8tSIiIiKXt6KZMiLPf5WlB/AeZb/5NpvdytgjxRXlSfmqnIvNV2ZmxbfugYrKarFgwSKWLfuN3r3DCAvrwYAB/bjqqmGsWrWWDz/8FICBA/tx9913sm3bTt5//xNee+1FPDw8Kn2N/Pw8ACwWi932kJB2zJp1P0lJZ3nuuRdISjpbdS9MREREROwU3ex0G/BwKfvisc4auxVYA1xVxnmCggKrI7xLlvJljKP5iogo76OSC1RUVpP09AxWr17H6tXrcHV1ZcKEsVx//ThWr15Hp04dmThxPAsWLGLhwsVVds0RI65g6tTJbNiwmY8//ozc3LwqO7eIiIiIlOR8/nvJmTSsw10bA1djLSqjS2lTJDo6luzsnCqO7tJjNrsRFBSofFVSTeVLRWUNyM3NZcWKlVx//Tg6dGjPTTddz0cffcbKlWuq7BpTptzCqFHD+frr+SxZsrzKzisiIiIiZfM+/z2lnDZFs16U93F/dnZOpYcaivJlVHXnS0VlFfPwsBAU1Mpum4uLC0OGDCQrK8s2HNVsdiM0tIOtTfFJdoyyWCyMHj2C8PCNREVF2503MzOTY8eOO3xuERERESlbF8ANWI91yRH/UtocPP/dr6aCEqlhKiqrWNFyIMVlZWVz8mQss2f/j/37I+natTM33XQDFot7lVwzKyuLnTt3M2BAX4YMGWi379ChI/zjHy9WyXVERERELhcfAannH6ef/34a+xleZ2DtqbzjfPvrsc7y2gjrm+xc4DjWoa9ewLBqj1qkdjgFBLQsbQi4XKbmzZtDgwcfxOXAgdoORURERKTWXAecqqDNIqBo+pMVwE9YZ4BNAfIBD6wFZl/gVqBVKecAeHrECA4ePKbhnJVgsZgJCWmtfFVSTeVLPZUiIiIiIn/yk8H2I85/iVyOTLUdgIiIiIiIiNRfKipFRERERETEYRr+KiU81aQF+xLTK254mdOYfmOUL2OUL2OUL2OUL2OUL2OUL2MsFjMhtR2EyEVST6WIiIiIiIg4TEWliIiIiIiIOExFpYiIiIiIiDhMRaWIiIiIiIg4TBP1SAmnJ39PfKZ3bYdRLxyv7QDqGeXLGOXLGOXLGOXLGOXLmJCfr67tEESkBqmnUkRERERERBymolJEREREREQcpqJSREREREREHKZ7KkVEREQuB0v/Cb8+b33s5AT+wXDb59BmYOWOP/gH/PgoxEdCm8Fw1w/g7lVt4YpI/aGeSgfcd98MPvnkXUaMuMJue6NG/sybN4fevXvWTmAiIiIiZWndH4bOsn51GQ8Jh+G3/1Tu2IgF8P4oyEiCwO5wcAVsmVu98YpIvaGeSoO6detMv359WLp0OZMnT2LTpm2kpaXVdlgiIiIi5Qsdbf0CSDwGu3+EtNMVH7dvKcy9Fbwaw19WwZE1EL0JzkZXY7AiUp+oqDRo9OiRbN26ne+//5ErrxzKVVcNZdGiX8psP2zYYMaMGUmTJk1wdjZx5kw8q1evY/HipRQWFhIa2oHnnnvS7pi0tHPs3LmLOXPmkp2dg5dXA6ZPn0rnzqF4enra2h09eoxnn/0XAGFh3Zk4cTzNmjXDzc2VhIRENm/eyvz5P5Kbm1s9yRAREZF6rrD83UfWwqcTwb0h3PcbNGprLSoBCguqPzwRqRdUVBrQpEljunXrzEsvvU5+fj5r1oQzfPgV/PTTEgoLS/5R7t69K/fccxfz5y/k4MHDFBYW0rRpEyZPnkRubi5Ll/5ma/vhh59y+vQZALy8GjBz5jRiY0eyaNHP3HjjBEJC2vPeex+TmZllOyYry/q4RYvmPPLIX1ixYiVff/09+fn5+Pn5cuutN+Hi4sLcuV9Xc2ZERETkkhOzHT4aCyYXuGcZNO1k6HCz2a2aAru0FOVJ+aoc5cuYi81XZmZ2pdqpqDTg6quvIj4+gb179wOwatUaxo4dTa9ePdm6dXuJ9v379+Hw4aMsXLjYtm3fvgO0aRPE4MED7IrKqKhjREfH2J4PGzaYdu3aAODr60NGRib79x8kMzOzxHX69etNWto5Pv98nt12f38/rr12tIpKERERMSZuv/UeyvxcuHcZtOpt+BRBQYHVENilS/kyRvkyxtF8RUREVqqdispKMpvdGDZsEMuWrcDV1Zq2+PgEDh48zMiRV5VaVPr7+5GcnFxie3JyCo0aNSr3evn5+Xh4eADw66+/89e/Psj777/JsWPHOXz4KNu27WDfvgMA+Pn5kZycUup1vLwa4O7ubuvVFBERESnXuQR4fyRkpcD0HyF4qEOniY6OJTs7p2pjuwSZzW4EBQUqX5WkfBlTU/lSUVlJgwYNwNPTk4kTxzNx4vgS+wMDm5KTUz33Lu7du5+HH36Kvn3D6NAhhD59wrjmmqtZvXodH3wwp1quKSIiIpep1W9A8gkY/hR0GuPwabKzcyo9dE6UL6OUL2OqO1+GispOnTqSm5vLoUNHSt3v4WHhmmtGEhzchpycHPbs2cfKlWvJz8+vkmBr08iRV7Fp01Z++WVZiX0PP/wAV199Fb/88qvd9sTEJAIDm5Vo7+3dkISEBEPXT01NZcWKVaxYsQqAyZNv4pprRvLxx5+TlJREjx5dS7mON2lp59RLKSIiIpVnPr/25O//Z/0qy8rXrV+j/gHX/LNGQhORuslQUfm3vz1GfHwCjzzyVIl9rq6u/POff7Mronr3DmPIkEH8+98vk5ubd/HR1pKOHUNo1aoln376JYcPHy2xf82acEaOvIrff19tt33jxi08+eQjTJgwlkOHjlBYWEiTJo0ZOLAfCxYsqvT1AwOb4u3tbXvu4uJCq1YtSUxMIj8/n02btjJhwlimTr2V7dsjbBP1jBx5FeHhGxx/4SIiInL5ufKv4NkIzhyA/FLev53eB5G/QYswaDvEuv6liFzWDA9/dXJyKnX7TTdNIDCwGQUFBaxbt4Fz584xZMhAgoPbMHbsNXaT1dQ3I0cOJzb2FJGRh0rdv2rVWq67bgwdO4bYbY+I2M2HH37KmDEjmTBhHM7OJuLjE/jppyUsW7ai0tcfN24Mw4YNtj3PyMjk+PEY/vvf9wA4ceIkb7zxPyZOHM8VVwzFzc2VxMQkNmzYzPz5Cx14xSIiInLJWfYvyEiyPs5KtX4/GwM/PHyhzai/g6cfDJhR9nk2fWYtKttfCeNfq65oRaQeqZJ7Kl1dXbnyymEAfPfdD/z8s3WIaHj4Jl588e/07du7XheVRcVbWc6ciWfKFOsf3xUrVtrtW7VqLatWrS3z2P37I5k8+a4S22fP/p/t8QcfzKnw3snt2yPYvj2i3DYiIiJyGds0B85G2287dwbWvHXh+bCHrUWliIgBVVJU9u7dE4vFnby8PLshoNHRx0lPT6dJk4CquIyIiIiIOOofx6rmPP2mWb9ERM4zVcVJwsK6AxAZeajEOoqZmVm4uWlxUhERERERkUvRRReVTk5OdOtmnXk0ImL3RQckIiIiIiIi9cdFD38NCWmHp6cHADt3qqi8FDSZdyOJ+yJrO4w6z2IxExLSmoMHj2mdpEpQvoxRvoxRvoxRvoxRvoyxWMwQ0rq2wxCRGmSopzIzM5MGDTzttvXr1xuA+PgEYmNPVV1kIiIiIiIiUucZKipjYk7i7u5Ojx7W4a5+fr4MGTIIgHXrtB6iiIiIiIjI5cbQ8Nd16zYQEtKOhx/+C8eORRMY2BSLxZ3MzMwSS2mIiIiIiIjIpc9QUfnHH6vp3Lkj/fr1oV27tgAUFBTwySdzSUlJLfUYJyeni49SatTpK3oS36NVbYdRLxwH6KxcVZbyZYzyZYzyZUzI3uO1HYKIiFwiDE/U8/bbH7BixSqCg9uQk5NLRMRuTp8+U2b75577N87OVbJyiYiIiIiIiNQxDs3+un9/JPv3V2520NTU0nswRUREREREpP4zXFS6u7szZMhAAgObAnD69BnCwzeSlnauzGM8PT1IT89wPEoRERERERGpkwwVlQ0aePKvfz1L48YBdtvHjRvDM8/8i+Tk5BLHNG8eyF//+iCPPvr0RQUqIiJyydu4HTbtvPDcuyGMHAKBTUpvn5YO2/fA8ZOQdg5y88DNDfy8oX1r6BYKLhe9JLWIiEi5DN3sOHbsNTRuHEBycgobN25h06YtpKSk4u3dkDFjri7RvkePbjz//N9KFKEiIiJSiqaNoUcn61dwK0hJhS27Sm97JgG+Wgg794KrC7RvYz2udQvIzIK1W2D+L5CTW7OvQURELjuGPr7s1q0LBQUF/P3v/yYp6SwAjRr58+abL9O1axdgvq3t2LGjmTTpBkwmE7t3763SoOuKMWNGMWXKzTzzzL+Iijpmt8/V1ZUPPniLVavWMXfuvArPNXToIDIyMti6dYfd9t69e+Lh4cGaNeGG45s3bw5z537NsmW/GT5WRERqQesW1i+A1DQ4chwyMku2KyyE5WshOweG9YMene335xfAr6vhUBRs2AbD+ld/7CIictky1FPp6+tDWto5W0EJkJCQSEpKKgEBjQBwdnbm3nunc8stN2IymVi9OpxXX32raqOuIzZs2ERBQQF9+4aV2NejRzfc3d1Zv35jpc41dOggevXqWWJ7r149GTp00EXHKiIi9VVhyU0JSZB4Fizu0L1Tyf3OJujbw/o48qi1CBUREakmhu+pTExMKrE9NzeXhg29aNjQi7/+9UGCg61rWC5YsIiFCxdXTaR10NmzyezfH0nv3mF8++0Pdvv69+9NXNxpDh8+isVi4eabJxIW1h0/P1/S0zM4ciSKr776lpMnY5k3b47tuGHDBgPw/vufMHHieFuxXtRmwYJFLFiwqMJziojIJexsivW7txeUtR60T0Pr98wsyMq2FqAiIiLVwFBR6VTWf1zn9/3733/Hz8+X/Px8Pv74c9auXX/RAdZ14eEbufvuOwkMbEZs7CnAOvS1Z8/uLF1qHXY6bdpttGkTxJdffkNa2jnMZjdGj77aNoHRCy+8zMyZ0zh9+gw//bQEgNjYU8TGnuK2227GbDbzxRdfAxAfn1Cpc4qIyCUsL9/63dm57DYuxfbl5oGlZBOz2a1q47pEFeVJ+aoc5csY5csY5cuYi81XZmZ2pdpV6ZRwfn6+ZGZm8eab77B37/6qPHWdtXnzVu68cwp9+vRi0aKfAejRoyvu7u6Eh2/AycmJ/v378NlnX7FjR4TtOCcnE48/PotGjfzZvz+SrKxskpNT7Nb/TElJJS0tjfz8fLvtlTlnQkJiDbx6ERGpz4KCAms7hHpF+TJG+TJG+TJG+TLG0XxFRERW3IgqKirT0s7RqJE/SUlneeWVNzlx4mRVnLZeyMjIJCJiN336hNmKyn79+hAVFU1sbBy+vj64uroyc+Y0Zs6cVuJ4T08PwwWgj493lZ9TRETqkaJeyPz8stvkFdvnWvp/99HRsWRn51RhYJcms9mNoKBA5auSlC9jlC9jlC9jaipfVVJUfvjhp3TuHMq6des5dy69Kk5Zr4SHb2TWrPvx9/cjNTWVnj2788MPiwDrxEUA8+Z9x4EDB0sce+rUacPXq45ziohIPeLrbf2ekmadhKe021OSz993aXEHd3Opp8nOzqn00CZRvoxSvoxRvoxRvoyp7nxVSVEZE3OCmJgTVXGqemn79p1kZGTSp08vEhISMJvdWL9+EwDp6RkAZGZmcfjw0TLPUVjGzHwFBSW3V/acIiJyiWrkB/6+1hlgd+yFsC72+/PzYdNO6+MObcuezEdERKQKGC4qGzXyZ+7cDw0dU1hYyB133GP0UvVGbm4eGzduZsiQgaSmprJ3737Onk0GIDMzk61btzNhwlhycnLshqUWFBQQGXkIsC7N0rp1EJ07h1JQUEBs7ClSUlJJSEikfftgunXrTG5uHvHxCSQkJFbqnCIiUs9s2mGdqRUgJ9f6PS0dVhdbnqpfT2vP48ghsPBXWLvZumxII19wc7XO9hoXb+3FbNwIBvSq+dchIiKXFYd6Kk0mQ8tbXhZ++OEnnnnmcXx9W/Haa/brcn7wwRxuvnkiN988ER8fb1v+srKyuOuu+wH47rsfuP/+mTz11KM4Ozvz/vufsGZNOD//vIw2bYJ47LFZuLi42JYUqcw5RUSkntl7CNLO2W/LzIKd+y4879nZWlQ2bgSTJ8D2PXD8JByMgrw8a2Hp5wPdOkK3UHCp0jn5RERESnAKCGhZ6RWRO3YMcfhCpd37J3XPvHlzeHDdcg4ka6IfEZFL2Yi9xzl48JjuSaoEi8VMSEhr5auSlC9jlC9jlC9jaipfhj6+VGEoIiIiIiIixWkcq4iIiIiIiDjMUE/lww8/QGpqKnPmfFHpfXfddTsNG3rx5pvvXlykUmOarNpB4r7KLXR6OdPwC2OUL2OUL2OUL2MsFjOEtK7tMERE5BJhqKjs3bun3UyjldnXrVsXGjXydyw6ERERERERqdM0/FVEREREREQcpqJSREREREREHKaiUkRERERERBymFZGlhMmnT5AZH1PbYdQPxw/XdgT1i/JljPJlTB3N14sBLWs7BBERkWqlnkoRERERERFxmIpKERERERERcZiKShEREREREXGY4XsqXVxcaN8+uNL7XF1dHYtMRESkBh0GwoFjwDkgF+t/kl5AEDAMaFNbwYmIiNRhhotKHx9v/vGPpw3vu1S89dYrBAQ0sj3Py8sjLe0cBw5E8vnnX5Oamlqp8/Tu3RMPDw/WrAm32x4a2oGgoFYsW/ZblcYtIiJlOwq8g/U/xY6AD+AE5AHJwG4gApgOdKmVCEVEROouzf7qgE2btrJ8+e+2597eDZky5RZuv/1m3nnno0qdo1evngQENCpRVHbq1JGhQwepqBQRqUE7gUJgItC/lP0ngNnAT6ioFBER+TNDReWUKTOqK456JSnpLPv3R9pt69mzO82bBwLQvn0wkydPomXL5nh4eJCYmMSuXXuZN+870tPT7Xo7582bA8CCBYsIDe1Ap04d7bavXr2OOXPm8vnnH9pdLyUlhS1btvPFF1+Tm5uHq6sLd955O2FhPWjY0MvWLi0tjXvumVU9iRARuURknf/uX8b+FkBjIA7r0NgGNRGUiIhIPaGeSgeYTE64ul5Inbe3N23atObgwUM0bNiQJ598lIiIXSxcuJjc3Fy8vBpw443Xc889dzF79tu8/fb73HbbzZjNZr744msA4uMT2Lp1OxMmjKNDh/a8/fb7gLV4zMvL54UXXrZdz9nZmVtvvYkRI64kKeksP/74M6NGjWDgwP68995HpKam2drm5+fXUFZEROov8/nv5d3A4Hn+ezrGikqLxVxxoxpmNrvZfZfyKV/GKF/GKF/GKF/GXGy+MjOzK9XOUFE5fvxY1q1bT2JikkNBXSpGjRrBqFEj7LadOhXHN998T1hYD9zdzXz44adkZ+fY9js7u/Dgg/fg7u7O4cNHSUtLIz8/367HMyEhkaSks+Tm5pboCS163rChF7Nm3Y+fny9RUcfo0qUTP/74M76+vuTm5hAZeYjk5JRqfPUiIpeejsBa4HvgAGAppU3C+e8FBs8dEtLa8cCqWVBQYG2HUK8oX8YoX8YoX8YoX8Y4mq+IiMiKG2GwqLzppgnceON4Dhw4yNq169m0aSvZ2ZWrXi8lGzZsYunSC/c8enhYmDx5EtOn38Hx4zFkZmbZFZQAycnJAAQE+BMTc9Kh6wYFteTRRx8kMzOT5557gYkTxxMU1AqAlSvXMGhQf95++zViYk5w+PBRdu7cxY4duygsLHTshYqIXCY6A7cB64C9QEYVnvvgwWNVeLaqYTa7ERQUSHR0bIn/r6Qk5csY5csY5csY5cuYmsqXoaIyIyMDDw8PQkM7EBragWnTprBt23bWrt3Arl17qivGOic5OZXDh4/abQsIWMmdd04hJuZEtVyzW7cuPPzwA+zZs4933vmwRDF/4sRJHnnkKfr0CSM0tAOdO4cyYsSV7Nmzj5deel2FpYhIBfqc/yrL60AMYHQAUWWHDtWG7OycOh1fXaN8GaN8GaN8GaN8GVPd+TJUVN5778N069aFAQP60qtXD9zd3RkwoB8DBvQjJSWV8PANrF27odoKq7qssLAQk8lEamoaFos7bm5u5ORc+DTAx8cbgPj4RAAKCkov8goLSw6scnV14cEH72XLlm28//4nZRaImZmZrFkTbptRduTIq5g2bQoBAY04cyb+ol6fiMjlLB9IxHrvpW8txyIiIlLXGCoqCwoK2LlzFzt37sLV1YUePbozcGA/unfvird3Q8aMGcWYMaOIiTnJ2rXhhIdvJCWlcus21id+fr6EhnawPXd3d+eqq4YRGxvH5s3buOWWG5k5cxpr164nNzeXBg0aMGHCWLZu3UFWlnWOwYSERNq3D6Zbt87k5uYRH59AQkIiCQmJeHs3JCysB5mZmaSkpJCUlIzF4k5BQQEdO4bYrltUqAI0auRvt36ms7Mz7dsHk5WVpXssRUQu0kqsQ2L7AaZajkVERKSucXj219zcPLZs2caWLdswm8307t2TAQP60bVrJ1q2bM7kyZO4+eaJhIdv5KuvviU9vSrvUKld/fr1pl+/3oB1dtVz585x6NARvv9+Eampqbz88mwmT57EQw/dh4eHhaSks0RE7GHevO9s5/j552W0aRPEY4/NwsXFhQULFrFgwSJWrlxL586hPPTQvbi5ubF69To++GAO8+Z9x7hx1zBs2GC7WI4dOw7AsGGDmThxvG17VlY2p07F8eab79r1mIqISEmJwOpStudiXaMyBggAxtVkUCIiIvWEU0BAyyq92c7Dw0Lfvr0ZMKAvoaEdMJlM7Nq1h1deebMqLyPVZN68ORx98EEyDxyo7VBERGrMUeC/pWw3Yy0muwBXAO4OnPvFgJaOB1ZNLBYzISGtOXjwmO5JqgTlyxjlyxjlyxjly5iayleVr1OZkZHJqlVrWbVqLT4+3sye/RIdOoRUfKCIiEgtaQu8WdtBiIiI1FNVXlQCNGnSmH79ejNgQD/c3NyIjo6pjsuIiIiIiIhILauyorJp0yb069eHfv1606pVC9v2xMQkPvzw06q6jIiIiIiIiNQhF1VUBgY2s01a06JFc9v2wsJC9u7dz5o14WzatJX8/PyLDlRqzrwmLdiXmF7bYdR5GtNvjPJljPJljPIlIiJSewwXlS1aNKdfv9707duL5s0D7fbFxJxk3br1hIdv1DIWIiIiIiIilwFDReWrr/6bZs2a2m1LSUklPHwja9euJybmRJUGJyIiIiIiInWboaKyqKDMyclh69YdrFu3nt2791FYWKWrkoiIiIiIiEg9Yaio3LfvAGvXrmfz5m1kZ+ueFRERERERkcudoaLyP/95rbrikDrk9BU9ie/RqrbDqBeOA3RWripL+TJG+TImZO/x2g5BRETksmSq7QBERERERESk/jLUUzljxh0OXaSwsJBPPpnr0LEiIiIiIiJSdxkqKq+4YojDF1JRKSIiIiIicukxVFSuXbu+uuIQEZHLRVY2bN4Jx09C6jnIy7dud3UBrwbQugX06Q5mt1oNU0RERCrHUFH5wQdzqiuOS86QIQMZO3Y0TZo0xs3N/o3RjBkP0KlTRzw8PFizJrzKrjlx4nhGj76amTP/AsCzzz5BRkYGs2f/r8quISJy0ZashJhYaOAJ7duAm6t1e3aOtdDcthuSU2DsiNqNU0RERCrFUFEpldO+fTD33HMXixcvYe/eA+Tn59vtz8rKplevngQENKrSolJEpM4rKIDY0+DiDFMmgNlsvz89Ez75Bk7E1Up4IiIiYpxDRWXz5oEEBjYD4PTpMxw/HlOlQdV3ISHtKCgo4LvvFlJYWFhi/1tvvUJAQCMA5s2z9v4uWLCIBQsW4efny91330nHjiG4ublx7Nhx/va3f+Lp6cHkyZPo1q0Lvr4+ZGfncPx4DN988z2RkYdq9PWJiDisEMjPhwYeJQtKAE8LuLpeGBIrIiIidZ6hotLJyYmHHrqXPn162W3fu3c/r776Fnl5eSWOMZvduO++Gbz55rsXF2k9cvJkLC4uLjz44L388suvHDly1G7/22+/z2233YzZbOaLL74GID4+AYDbb78FHx8fZs9+m9zcPLKysgG4666ptGvXlnnz5pOcnIyrqwt9+/bmyScf4bHHniEp6WzNvkgREUc4m6BZYzh1BiKPQpuWF4a/5uTCwaOQkwNBzR06vVn3YVZKUZ6Ur8pRvoxRvoxRvoxRvoy52HxlZmZXqp2honLkyOG2gjIlJRUnJycaNvSic+dQRo4czpIlv9q19/f347HHZtGypWNvDuqrnTt3s2DBIsaNu4b+/ftw9mwyO3ZEsGZNOAcPHubw4aOkpaWRn5/P/v2RdscGBbVi585d7Nq117bNZDLRp08Yc+fOY8OGTbbte/bsZ+DAfvTuHcby5b/X2OsTEbko1w6Hleth2arS94e0hSsHOHTqoKBAx+O6DClfxihfxihfxihfxihfxjiar4iIyIobYbCo7N+/DwD/93+z2bNnHwDdu3fl8cdn0bt3T7uiMiSkHQ8//AANG3pdlr1oCxYsYtmy3+jdO4ywsB4MGNCPq64axqpVa/nww0/LPM7Z2Zk/j5j18fHGxcWF5OQUu+0FBQWkpZ2zDaUVEakXdu+HYyfA3weaBNhP1BN7Go5GQyNf6wywBkVHx5KdnVO18V6CzGY3goICla9KUr6MUb6MUb6MUb6Mqal8GSoqAwIakZ6ebisoASIidpOenkHz5s1s24YNG8ydd96Oi4szx4+f4NVX36yygOuT9PQMVq9ex+rV63B1dWXChLFcf/04Vq9eV9uhiYjUjtMJsGknBDaBG8eAk5P9/oIC+O5nWL/NOgS2sbEPzbKzcyo9VEeUL6OUL2OUL2OUL2OUL2OqO18mI40bNvQiMzOrxPbMzEwsFgsAU6bcwsyZ03BxcWbPnn3861//x9mzyVUSbH2Wm5vLihUrAfDy8qKgoOQEPmVJTk4hLy8Pb29vu+0mkwkvrwa2+zFFROq8pGTr9yaNShaUACaTteAESEyuqahERETkIhjqqTSZyq5BTSYTTzzxCN26dQZg9epwPvnkcwoKCi4uwnrIw8NCUFAru20uLi4MGTKQrKwsDh8+QseOIbRvH0y3bp3Jzc0jPj6BhITEUs9XUFDAli3bGTfuGjIyMkhOTsHV1cV2f+vWrdur/TWJiFSJookCEpJK319YCHHx9m1FRESkTqvSdSqLCsoFCxaxcOHiqjx1vRIU1IrnnnvSbltWVjYnT8Yye/b/SE5O4eefl9GmTRCPPTYLFxcX25IiZZkzZy6TJ09i8uRJdkuKvPzyG5flPasiUk+1DASvBhBzCr5aCE0bW9esBMjOhVOnITnV2qalJmEQERGpD6qkqMzJsd70mZ+fz8cff87ateur4rT11v79kUyefFe5bZKTk3nhhZdLbJ8164lS26enZ/DRR5+Ve84/F6b//vcrFQcrIlKTXF3gpmth8044cQr2H7auWwng7AxentClA/TtYW0rIiIidV6V/I+9aNEv9OvXm59/XsbBg4er4pQiInKp8vKE4YNqOwoRERGpIlVSVIaHbyQ8fGNVnEpERERERETqEcNFZcOGDXnqqUcNX+j//m+24WNERERERESkbjNcVLq5udKlS6fqiEXqiCardpC4L7K2w6jzLBYzISGtOXjwmNZJqgTlyxjlyxiLxQwhrWs7DBERkcuSoaLyhx9+qq44REREREREpB666KLS3d0dDw8LTk5OFBYWkpmZSWZmVpUFKCIiIiIiInWXQxP1+Pj4MGHCWHr37omPj3eJ/SkpqWzbtoMff/xZayiKiIiIiIhcwgwXlcHBbXn88Vk0aOBZZhtv74ZcddUw+vXrzWuv/ZdDh45cVJBSsxZNPIH36JjaDqOeOAzDazuG+kT5MqZu5qvx7Ja1HYKIiIjUIYaKSovFnYcfvp8GDTzZt+8A69ZtIDExifyihasBFxcX/P39GDp0EB06tOfhhx/g8cefISMjs8qDFxERERERkdplqKi88sph+Pr6sGXLdt56691y265evY7HHnuIHj26ceWVQ/nll18vKlARERERERGpe0xGGvfs2Q2A77//sVLt58+3tuvRo5uhoERERERERKR+MNRT2aJFc/Ly8jh5MrZS7aOjj5Ofn0+LFoEOBSciIo6ZNh8+3172ficnCPaDz2+CgUE1F5eIiIhcegwVlZ6eHpw9m2zoAsnJKaXOEFuT3nrr/9u777gq6/6P469zGIcDIshwkIoTd47ce6RpaWZamY3bdpajbNnw7udd3d55d5e2pw1Ly9SysmHmKre5E8EBLhQEZcg4jMPvD+QoAcJ1BA7I+/l48IBzXd/zvT7nHZ7Oh2vNIjg4qMCyzMxM4uJO8cMPP7N27TrmzJnF1q3bmTdvwSVvLygokNdf/y+vvvoGW7duv+T5/q5VqxZMn/4UTz/9PIcP64I6IlLYkObg71X8+kNn4PtweHeTmkoRERG5NIaaSrPZTG5urqEN5Obm4ubmZug55WHTpq0sX/6b47HZbKZt29bcf/9dHD58lDfeeJeUlLNlsq2kpCReeOFljh07XibziYgYNa5D3ldxXlqV11S2rl1RFYmIiMjlyqn7VFZFp0+fITw8osCyw4ePMHLkddSvH8LNN99YYE9l06ZNuO22m2nUKBQvL4vjOePG3V3iej8/P6ZPf8qxp3LGjGdp3rypY0x6egYREfuZO/cz4uMTAAgIqMX9999Fy5ZheHp6Eh19hGee+T9q1PDhH/8YR7t2balZ07fI1+bh4c6YMaPo1q0zQUGBZGVlERNzkiVLlvLnnzvKJD8RuXzsi4MXVkLtGjChu6urERERkaqu2jSV+dzc3DCbTZjNZtq1awNAQsLpAmNq1qzJtGmPsmPHLpYuXUZmZqah9X/38cfzsFqtjscDBvSld+8e3H//Xfz7368AcMcdY/H39+fVV98gKyubjAwbAHfffSdNmjTi00/nk5iYCEBoaEPuvPNWx3yjR99A//59WLDga2Jj43Bzc6NNm5Y8+uhEpk9/kaioaKeyEpHLj90Ody8GWza8MQL8LnKIrIiIiEhpVKumsnfvHjz44D2YzXkXvc3JyeH339cTEbG/wLj27dtitVp5//2PycrKLjRPSev/Ljr6CJB3yO2dd95K9+5d2L37L1q1aoHZbMZutxMa2pAdO3axa9dfjueZzWY6d+7IZ5/NZ8OGTcXO36NHV1atWsvq1b87lu3Zs5cuXTrTs2c3NZUi4jBnPWw4AiNbw81OXpjbarWUPKiCWSyeBb7LxSkvY5SXMcrLGOVljPIy5lLzSk+3lWqc4aYyKCiQzz57v9Tj8xu4yiAm5gR2u52YmJO89dZ7xMcnkJqaVmhcUFAg6ekZxTaMJa0vSo0aPkyZ8hChoQ14+eXXCAwMoF27Nnh5WUhLS8fNzY2/n67q7++Hu7s7iYlJF507MDCgyDGJiYkEBweWukYRubwdTIDnluftnXx7pPPzhIU1KrOaylpoqK42boTyMkZ5GaO8jFFexigvY5zNa+fOiJIH4eSeysrUKBpx6FA0n3zyBffe+w86derAN998XyHbDQoK5NlnnyAnJ4d//vNFTp6Mo2/fXhWybRERgNxcuGcxpGXB+8MhpKbzc0VGRpdZXWXFYvEkNDSEw4djsNkufkqCKC+jlJcxyssY5WWM8jKmovIy1FS++OKs8qqjwqxcuYYGDa5g9OiRHDx4qMDhpvni4xOwWr3w8HAvcm9kSev/7p577iQzM5MZM2aSlpZe6loTE5PIzs4u8ZYsCQmnixzj7+9HVNThUm9PRC5fb2+ENVEwoAnc1/XS5irtoTCuYLNlVur6KhvlZYzyMkZ5GaO8jFFexpR3Xoaayn37Isurjgo1b96XhITU4+GH7+fZZ//luAJrvl279pCensG9945n3bqNZGVlOdaFh0eUuP7vfH19yczMokmTxuTk5AAQElKvxDrtdjtbtmzj2muv4ezZVJKSkoG8C/VcaMOGzQwY0IcTJ04SF3cKNzc3WrVqQd26dVi/vvhzMUWkejh8Bqb9DFYP+OBGV1cjIiIil5tqdaGefHa7nddff4cZM55jypSHmDFjZoH1SUnJzJr1GuPG3cwjjzxc6JYhJa3/uy+/XMT48bczbdpUw4cOf/zxPP7xj3GMH397sbcUWbx4KWaziVGjRhAUFEh2djbHj5/gtdfe1EV6RIR7l8DZTPjvMGiq06xFRESkjJmCgxvkljxMqov58+fSJXwSfqn7XF2KiJSBD7fAfUug8xWw8SFwK4NT4mu/2uDSJyljVquFsLBGREZG63CoUlBexigvY5SXMcrLGOVlTEXlVS33VIqIVBf3dsn7EhERESkvVfMyriIiIiIiIlIpqKkUERERERERp+nwVylk5OL67N2b6uoyKj0d02+M8jJGeYmIiEhVoT2VIiIiIiIi4jQ1lSIiIiIiIuI0NZUiIiIiIiLiNDWVIiIiIiIi4jRdqEcKWbp0EX5+fq4uQ6TaGzx4sKtLEBERESmR9lSKiIiIiIiI09RUioiIiIiIiNPUVIqIiIiIiIjT1FSKiJSBo0eP8sgjj9C6dWtq1KiByWQq9HXs2DFXlykiIiJS5qrMhXqGDBnELbeMZseOnbzxxnsF1g0fPpRRo65n1649zJnztosqFJHqavv27QwaNIi0tDQGDRrEgAED8PDwKDTO19fXBdWJiIiIlK8q01SOHn09GzduYcCAPixfvpKIiP0AWK1WbrppFH/8sYEBA/rSpEkjDh2Kdm2xIlKtjB8/nvT0dLZs2UK7du1cXY6IiIhIhaoSTWXt2sH4+vqyYsUqOnRoR9u2rR1NZatWLfDw8OCbb76nd+8eNGnSiKNHj/Hpp+8XmCMpKYktW7Yxb94CsrKyAWjXrg1jx47hiitC8PQ8v1dh69ZtvPrqm7Rq1YLp058qME9Kyll27NjF3LmfYbNlOsY8/fTzHD581DFu6tSJeHt78+KLs/D1rcE999xJmzat8PHxcYw5dCia5577F7VrB3PPPXfSrFlTrFYvx/pNm7Y69rz26tWdESOGUbduXQDi4uJYtuwX1qz5A4DnnnuS1q1bOp6bnZ3NyZOxzJ+/kB07djsfvohc1J49e9i1axdjxoxRQykiIiLVUpVoKuvXvwKAmJgT7N9/gLCwZo51LVo059SpeOLjE4iNjaN+/fpkZ+fwwgsvO8a4ublx6603cfXVAzh9+gzffvsDAQG1mDp1IuvXb+arrxaTlZUFwB133Fpo+++//zGxsXEA+PrW4L77xhMTM4SlS38oVf1jxtxAWFhz3nnnQ9LTMxzLMzLyfh4//jZq1arFnDlvORpegOTkFABat27Jgw/ew4IFXzsa1yZNGnPffeOJjY1j375IACIi9rNw4RIATCYTffv24uGH72fixMew2TJLVauIGLNv3z4ADh48yCOPPFJgndlspk6dOnTs2JHBgwdjMpkMz2+xeJZFmZe9/JyUV+koL2OUlzHKyxjlZYzyMuZS80pPt5VqXJVoKhs0qE9CwmlsNhuRkQcZPXokJpOJ3NxcWrRoTmTkAQBiYk7SoMEV5ObmEh4eAUDNmr5MmfIQAQG1iIqKpm3b1nz77Q9ceWVb3N3dmTv3M3JychzbSktLK7T9qKjoAnsh+/XrTbNmjUtdf61a/qSlpRMeHkl6enqh9f7+/iQnJxMeHlGgqczXq1cPIiMP8OuvKx3LIiP3M3To1bRp08rRVKakpDheN+Q1rX379qJevbpERx8pdb0iUnqpqalA3nmV27dvL3Zc7969WblyZZHnWl5MaGjIJdVX3SgvY5SXMcrLGOVljPIyRnkZ42xeO3dGlDyIKtNUXsGJEycB2L//AFarFw0bNiAmJobGjUNZt24jACdOnKBVq36O54WGNmDq1Emkp6czffoLjB49ktDQhkBeo5eRYSvQUJZWTk4O3t7epR7/yy+/8dhjk3j33dlERx/hwIFD/PnndvbuzdvD8eOPv3D//Xfx3ntvEBUVTWTkATZv/pOoqGgAgoICaNWqRaFDeoGL1pH/2qxWq4FXJyJG5ObmAvDYY4/xyiuvFFoXExPDHXfcwapVq/j++++58cYbDc1/+HCMjjQoBYvFk9DQEOVVSsrLGOVljPIyRnkZo7yMqai8qkxTmb8H7tChaDIzswgLa4bV6oWHhweRkXnnV8bEnMTX1xd/fz8aNmzAI488zJ49e3nrrfex2Qruuk1NTStwHmV5+uuvcB55ZBpdu3aiRYswunTpxLBhg1mz5g/ee28uf/yxgX37Iuna9SrCwprRv38fRo68jkWLvmXJku8wm82Eh0ewYMHXheZOTEyqkNcgIkVzc3MDzjeXFzKZTFxxxRWMHTuWVatWERFRur/2Xchmyyz1oSeivIxSXsYoL2OUlzHKyxjlZUx551Xpm0o3Nzfq1avLb7+tBvL2vkVFRRMW1gxvbytpaekcOZJ377eYmLy9mU2aNGLChPvYsuVP3n33oyI/7EVG7sfDw4NBg/qzfv0msrPzzqk0es5T/nmR7u4XjzI5OZkVK1azYkXe6xg37iaGDRvChx9+Sk5ODvHxCfz443J+/HE5JpOJiRMfoH//PixZ8h1paen4+/tx4MAhQ7WJSPkLCgoCID4+vtgxnp555zFkZuovqiIiInL5qfRNZUhIXdzd3R0NI8CuXXu4+uoBBAUFEhER6WgaT5w4AUBoaEOsVi/sdjstW4Y5nufv7+f4OTr6CF99tZh//GMc99xzZ4Ftbt26rdT1xcScJDU1jeHDh7F+/UZHLf7+/o4PkCEhdfHzO79td3d3GjZsQELCaXJycggNbVDgMFaLxZO6des4Lg70++/rmTp1IjfffCN79+4rcMjusWMxpKSklLpeESlb3bp1w2Kx8NNPPxEbG0udOnUKjdmxYwdAketEREREqrpK31Q2aFAfyLvya77ffltDr149qFu3DrNnv+VYnpaWTmJiEkFBQcyfv5ARI4bRr1/vAvNdeMGapUuX8csvv1GnTm08PPKiuPfefxS4QmtJbDYbb731HuPG3cKkSQ8W2GOZf87kiBHXFqgjb+/qUV5//R0g74qzF94O5OzZsxw4EMVnn30B5DW57703l2uvHcK11w5x7PUAmD37LTZv/rPU9YpI2QoICGDatGnMmDGDpk2bMmTIEOrVq4eHhweZmZlERkaycuVK/P39ueGGG1xdroiIiEiZMwUHNyh8bGg10bJlmONwV5PJRHBwEOPH38YXXyxkxYpVLq7ONebPn0uXLl0K7FkVkZJ9/fXXzJ07l+3bt5OQkEB2djY1atSgXr16DB48mEceeYTmzZsbmnPw4MFERkbrnJFSsFothIU1Ul6lpLyMUV7GKC9jlJcxysuYisqr0u+pLE/Tpj3muFhPTk4Op0+fYfnylY7zN0VESuumm27ipptucnUZIiIiIhWuWjeV48c/4OoSREREREREqjSzqwsQERERERGRqqta76mUoo0cOYa9e43fT6+60TH9xigvY/LzEhEREanstKdSREREREREnKamUkRERERERJymplJEREREREScpnMqpRCf9h2pHdLQ1WVUCScA3+CG+Lq6kCpCeRl06oirKxAREREpkfZUioiIiIiIiNPUVIqIiIiIiIjT1FSKiIiIiIiI09RUioiIiIiIiNN0oR4RkTKQlXqW+H17SD0ZQ1baWezZ2YXGhI28BQ9vHxdUJyIiIlJ+1FSWAzc3N0aOvI5evboTHByEu3vBmGfMmElExP5L3s78+XP57LMF/Pzzr5c8l4g4L/10AodX/YQ9OwefuvXwrlMXk6nwgSBmdw8XVCciIiJSvtRUloP77htPt26dWbp0GYcORZGVVXCPxZEjx1xUmYiUh+Ob1mLPyaHJNSPw8g9wdTkiIiIiFUpNZRnz9/end+8eLF26jG+//aHYcW+//Rr+/n6Ox2fPnmX37r+YO/dzUlNTAbj11pvo3bsHfn41MZvP7/W4664J2Gw2x+OgoEBmz36ZL79cxA8//FxgO8899yQmk4kXXni5rF6iiFwgI/EMtsQz1GzQSA2liIiIVEtqKstY/fohmM1m9u8/6Fjm5uaG2WxyPLbbc3nttTcdh8WaTCauv/5aevToRkaGjQ8++IRu3bowYsQwPvjgE06ejC2wjczMzAKP4+MT2LZtJ4MG9S/QVAYHB9GyZRjvvPNhebxUEQFsyYkAZJ5N4cSfGwusM5lMuHlZsdYKxKduCCaTqYgZLs5i8SyLMi97+Tkpr9JRXsYoL2OUlzHKyxjlZcyl5pWebit5EGoqy1ytWv4ABfYkTpkygc6dOzker1nzB++9NxfI+w88YcK9hIU1Izw8grZtWzvmsdvtREYe4PjxmBK3u3z5bzzzzOO0b9+OnTt3A9C3by/S0tLYvHlrWb08Efmb3HMX5Mk4k0DGmYRix3kH16HRwGGYzMYuuh0aGnJJ9VU3yssY5WWM8jJGeRmjvIxRXsY4m9fOnRGlGqemsgLMn/813333IwATJtzrWB4UFMhjj03G29vKjBkz6dy5E0OHDgZg48bNDB16NS+//C9iYk5y8OAhdu3aw+bNf5KTk1NoG3v27OXYsRgGDx7gaCr79OnJH39sLHROp4iUndxz3wNbtqVux64F1+Xmkp2exvENa0mNO0HK8SPUbNDI0PyHD8dgs2WWPLCas1g8CQ0NUV6lpLyMUV7GKC9jlJcxysuYispLTWUZO3MmEQCLxeJYduHhq/n/MRs1ashTT00lNjaOmTP/R3JycoG9mYmJSTzxxHN06tSBNm1aEhbWjH79enPkyDGef/7FIn8pli//jfHjbyMoKJDg4CBq1w5m1ao15fRKRQQ4f0hrbm6R6zy8fagZ2pjUuBPYkpMMz2+zZZb60BNRXkYpL2OUlzHKyxjlZYzyMqa881JTWcaOH4/BbrfTtGljduzYVWi9j4836enpTJz4AEePHmPWrNlkF3E/O4CsrCw2bdrCpk1bAOjYsT1PPDGFpk2bsHfvvkLjf/99PWPHjmbQoP74+/uxf/9Bjh49XrYvUEQKcDv3B6RsW/Fv1CazGwC5dnuF1CQiIiJSkdRUlrEzZxL5/ff1XHfdNWRmZhEVFU1OTg4Wi4X27dsSHBxEeHgkvXp1JzY2jrCwZuSe28MRFBTomMfPryYhIfUcj00mE23atCQnJ4f4+KLP27LZbKxYsZqhQ6/GbDbz8cefl++LFRGsgbUxmd04e+IY2enpuFuthcbkn2vp7lV4nYiIiEhVp6ayHHz44afExycwcGBfAgNvwN3dnczMLBISEvjqq8Vs2fInHh7ujB07hmeeebzA7UJSU9MAaN++HQ8+eI9jeWZmFnFxp3j33Y+IiztV7La//vobvL2t9OrVgw0bNpffixQRANwtFoJat+PUnh3s/+FrfOpegbvVislkJtduJzMlidTYE5g9PPGt39DV5YqIiIiUOTWV5SAnJ4fFi5eyePHSYsesX7+J9es3Fbt+7dp1rF277qLbGTfubsfPQUGB+Pr64uPjTYcOV7Jq1doCV6AVkfJTu10nLH61SDwUSXp8HNm2DMjNxezujrvVm1rNWxLYog0eVm9XlyoiIiJS5tRUXiZGjx5Jv369yciwsWvXbhYt+tbVJYlUK34NG+PXsLGryxARERGpcGoqLxPvvTfXce9LERERERGRiqKmUgpJ3bmduL2lu9FpdWa1WggLa0RkZLQuaV0KyssYq9VCvbBGri5DREREpETmkoeIiIiIiIiIFE1NpYiIiIiIiDhNTaWIiIiIiIg4TU2liIiIiIiIOE0X6pFCfNp3pHaIbtJeGicA3+CG+Lq6kKri1BFXVyAiIiIiZUx7KkVERERERMRpaipFRERERETEaWoqRURERERExGk6p1JESuXsyRhit2/GlpKEd1AdGvQZhJuHh6vLEhEREREXq3ZN5Zw5swgODrromMmTnyA+PqGCKnLOnDmz2Lp1O/PmLXB1KVINJB+N5ui6VXhYvfHyDyA1NobEqP0EhrV2dWkiIiIi4mLVrql844138Ti3d8Xf349Jkx5k4cIlRETsd4xJSkpyVXkilU5KzFGOrV+Nu5eVRoOGkRoXS3rCKbJSU11dmoiIiIhUAtWuqTxw4JDj56CgQACOHTtOeHiEY/mVV7bh1ltvJiSkrqMBBfjkk89Zvnwlzz33JGlpabz66puOdaGhDZg5cwYvvPAy4eERPPfck7Ru3dKxPjs7m5MnY5k/fyE7duwGwMPDnTFjRtGtW2eCggLJysoiJuYkS5Ys5c8/dzieO3jwQIYNG0zt2sGYzYVPg5006QF69OjmeJyZmUlU1GHmzp3H0aPHLiEtqe5S405y9I+VmN09CB1wDZ41apIaF3tuba5LaxMRERGRyqHaNZUlMZvNTJ48gd27/2LevAXk5p7/4HzyZOxFnllYRMR+Fi5cAoDJZKJv3148/PD9TJz4GDZbJqNH30D//n1YsOBrYmPjcHNzo02bljz66ESmT3+RqKhoOnRox1133c7ChUvYv/8gdrsdgEmTHnRsZ8mS71mxYrXjcceO7Rk+fCiPPPIQjz/+bIHXIFJa6afjObL2V0wmM6H9r8HLr5arSxIRERGRSkhN5d94eVnw9vbm5Mk49u7dd0lzpaSkFNgDmpGRQd++vahXry7R0Ufo0aMrq1atZfXq3x1j9uzZS5cunenZsxtRUdF069aFAwcO8e23PxSYOysry/Hz8eMxHD+e9/P111/LtdcOYefO3bRv347AwIBKf36oVD62pEQOr15Ort1OaP9rsAZe/DxkIywWzzKb63KWn5PyKh3lZYzyMkZ5GaO8jFFexigvYy41r/R0W6nGqan8m7S0dFasWMXIkdcxYEBfDhw4xL59EWzYsJmEhNOXNHdOTg4AVqsVgMDAABITC5+/mZiYSHBw4AVjEkuc28PDgwcfvJurrurI229/wJkzibRv3w4fH281lWJIti2D6NW/YM/KpEGfQfjUrlum84eGhpTpfJc75WWM8jJGeRmjvIxRXsYoL2OUlzHO5rVzZ0TJg1BTWaS5c+exZs0fdOzYnubNm3LjjSMZM2YU//vf6+ze/ZeryyvEx8ebadMeIyCgFi+88DIHD0bRqlULV5clVVTCvj1kp6US1OpKfEMalPn8hw/HYLNllvm8lxuLxZPQ0BDlVUrKyxjlZYzyMkZ5GaO8jFFexlRUXmoqi3HwYBQHD0YBYLV68e9//x+9e/dg9+6/yMjIwN390qNLSDiNv79foeX+/n5ERR12jLniiov/ZeGWW0YTEFCL6dNf4PTpM5dcl1Rv5nMXp4oP30V8+K5ixyXs20PCvj0Et+1A7XadSj2/zZZZ6kMpRHkZpbyMUV7GKC9jlJcxyssY5WVMeeelprIIf9/L5+/vR40aNRwX6jlw4BDDhw+jf/8+nD17FqDEe18WZcOGzQwY0IcTJ04SF3cKNzc3WrVqQd26dVi/fhMAGzdu4YknpjBy5HUcOHDIcaGeC69K6+vrS1ZWFvXrX0GdOrUBCA1taPyFiwBBLdvhbvHClpxE7rnftwvZkhNJPRmDV61AvIPrYA2s7YIqRURERKSyUFNZhOnTn3L8bLfbSUpKZtOmLSxb9gsAP/30K/Xq1eXWW2/C17eG09tZvHgpZrOJUaNGEBQUSHZ2NsePn+C1194kKioagJ07d/Ppp/MZNmwwN900qshbinz77fc88MDdPP745DLZgyrVm8lsplbT4g+fPnNoP6knY/CpU4+6HbtWYGUiIiIiUhlV6w4kPj6BcePuLrS8qGUXstlsvPPOhxcd8+KLswotO3z4aIG5s7KymD//a+bP//qic/3660p+/XVlsesPHz7KM8/MuOgcIiIiIiIi5aFaN5UiYlytJs2p1aS5q8sQERERkUqi8LGUIiIiIiIiIqWkplJEREREREScpsNfpZDUnduJ21u6G51WZ1arhbCwRkRGRuuS1qVgtVqoF9bI1WWIiIiISBnTnkoRERERERFxmppKERERERERcZqaShEREREREXGamkoRERERERFxmi7UI4XEDlzEqav8XF1GlXAE4EpXV1FY8LyGri5BRERERKoJ7akUERERERERp6mpFBEREREREaepqRQRERERERGn6ZxKEVf5eTzs/bTkcd2fh57/V97ViIiIiIg4RU1lOZgw4V46d+7EggULWbFitWN5UFAgr7/+X1599Q22bt3O6NEjGTp0MPfdN9F1xYrrhA4Bi3/h5ZlJsHce5OZAjfrQ+NoKL01EREREpLTUVJaxK69sQ7duXfjpp+WMG3czmzb9SUpKiqvLksqo1bi8rwvFrIcfb8trKMNuhqvfBa9arqlPRERERKQU1FSWsaFDh7B16zYWLfqWAQP6MnBgX5YuXVbseB8fb+bPnwuA3W4nLu4UP/+8guXLf3OM6dSpPaNHj6RevXp4enoQH5/A5s1b+frrb8nKynLsAb1QWloa4eERfPDBpyQnJ5fPi5WyY8+BTS/Bxn+Bhw8M/RRa3+nqqkRERERESqSmsgzVqVObK69sw8yZ/yMnJ4e1a9cxaFB/vvvuR3Jzc4t8TkZGBv/97xwAzGYzzZo1Zfz424iNjWPnzt3Ur38Fjz46kRUrVrFgwSJycnIICKjFrbfehLu7O599tsAx18KFS4iI2A+A1erFnXeO4+abR/Hhh6U4b09cJ/kI/HQbHP8DQnrBsM/Br9ElTWm1WsqmtjJksXgW+C4Xp7yMUV7GKC9jlJcxyssY5WWM8jLmUvNKT7eVapyayjI0ePBATp2K56+/wgFYvXotw4cP5aqrOrJ167Yin5OTYyc8PMLx+K+/wuncuQPdu3dh587ddOvWmZSUs3z66fwCzwsMDOC664YWaCqPHTteYK4rr2xHy5bNy/IlSnlYNAgSD+T9HLMOPmoC3sEQ1A66TIPQqw1PGRbWqGxrLEOhoSGuLqFKUV7GKC9jlJcxyssY5WWM8jJGeRnjbF47d0aUPAg1lWXGYvGkX79e/PzzCjw88mI9dSqeyMgDDBkysNimsihnziQRGBgAQEBAAImJSYXGJCYm4etbAy8vr2LnycnJwWq1GnwlUuG6T4e47ZC/NzvXntdkRv8Mx9bCrRugzlWGpoyMjC77Oi+RxeJJaGgIhw/HYLNlurqcSk95GaO8jFFexigvY5SXMcrLGOVlTEXlpaayjPTq1QMfHx9Gjx7J6NEjC60PCalLZmZWKWcr+lBZuUy1vrPo8yfXPAZ/vgpRPxpuKkt7qIIr2GyZlbq+ykZ5GaO8jFFexigvY5SXMcrLGOVlTHnnpaayjAwZMpBNm7aybNnPhdY98sjDDB48kGXLfinVXP7+/hw7dhyA06dP06FDu0Jj/Pz8SEk5S0ZGBjVq+Fxa8VI5BZ37724rvKdaRERERKSyUFNZBlq2DKNhwwZ8/PHnHDhwqND6tWvXMWTIQH77bU2hdW5uZlq1agHkXainadPGNGvWhMWLlwKwadNWbrhhOHfeeSvbtu10XKhnyJCBrFu3oXxfmLhWytG87x76o4GIiIiIVF5qKsvAkCGDiIk54bjy6t+tXv07119/LS1bhhVa5+XlxfTpTwHnbynyySefs3PnbiDv4juvvfYmo0ePpH//vnh6epCQcJoNGzbz9dfflN+LkvJ3ZBUcXFrEilw4exwO/QCYoNE1FV2ZiIiIiEipqaksA6+//s5F18fFneL22+8FYMWKVY7lixcvdeyRvJht23aybdvOYtfHxycwbtzdhZbPm7eAefMWFPEMqRTi/oTtcwovN7mBNRDq94MOEyGkZ8XXJiIiIiJSSmoqRVyl8+N5XyIiIiIiVZjZ1QWIiIiIiIhI1aWmUkRERERERJymw1+lkDorx5CwN8LVZVR6VquFsLBGREZG6z5JIiIiIlJtaU+liIiIiIiIOE1NpYiIiIiIiDhNTaWIiIiIiIg4TedUSiHjYo+Rfuqoq8uoGo4ccHUFRXopuIGrSxARERGRakJ7KkVERERERMRpaipFRERERETEaWoqRURERERExGk6p1LERb4AtpRi3DXAsHKuRURERETEWWoqy9GVV7Zl2rSphZZnZGSwbdtOFi5cwuzZL/Pqq2+wdet2F1QortQSsBaxPAPYCtgBf6B1BdYkIiIiImKUmspydPBgFC+88HKh5WFhzbnllhvZtWuPC6qSyuKqc18XigLmkddQdgBuBrwrtiwREREREUPUVJaj1NRUwsMjCixzd3fn6qv7Y7fbOXgwCoCpUyc51qelpbNvXyQffvgJiYlJAFxxRQi3334LTZo0xte3BklJSezbt5/PP/+ShITTAMyZM4utW7czb94Cx1ydO3dk6tRJTJ78BPHxCeX9cuUS2IHl5748gXFAV5dWJCIiIiJSOmoqK5CfX00efXQizZo14fPPv8JmswGwcOESIiL2A2C1enHnneO46aYb+eCDj/HwcOfJJx8hNjaOd9/9iIyMDKxWKyNGDGPq1Ek899y/yM3NdeXLkkt0hry9k4eAxsDtQKBLKxIRERERKT01lRWkUaOGPPbYZKxWL1599Q22bdtJUFBe63Ds2PECezSvvLIdLVuGAdCsWVOCg4N4+eXXiIk54RiTkpLCjBnPUr9+CEePHq/YFyNl6i0g/tzPUcCLgA8QAgwCWjgxp9VqKZviypDF4lngu1yc8jJGeRmjvIxRXsYoL2OUlzHKy5hLzSs93VaqcWoqK0D37l144IG7iY9P4N//foUTJ05edHxOTg5WqxcAgYEBACQmJhYYc+ZM3uPg4CA1lVXcEOA4kL+/OZe8JnMfcBB4BGhgcM6wsEZlVF3ZCw0NcXUJVYryMkZ5GaO8jFFexigvY5SXMcrLGGfz2rkzouRBqKksd8OHD2XcuJvZunUbb7/9IRkZGa4uSSqZ4s6d/BZYDezFeFMZGRntfEHlxGLxJDQ0hMOHY7DZMl1dTqWnvIxRXsYoL2OUlzHKyxjlZYzyMqai8lJTWY7atm3NuHE38+23P7Bw4RKn5si/EI+/vx9paemO5f7+fgCcOpV34GR6egbu7m6XWLFUJvXOfXfmzxClPVTBFWy2zEpdX2WjvIxRXsYoL2OUlzHKyxjlZYzyMqa881JTWY4aNqwPQHT0YVq1Knxm3NmzqSXOceDAQU6diufOO8fx888rsNlsWK1eXHfdUKKiDnPsWAwABw8eolOnDuzff9CxN7Rp0yZl+GqkoiWe+64zBkRERESkMlNTWY7Wr99Mjx5dmTTpQdzcCu9F/Oc/XyxxjqysbGbNms0dd4xlwoR7z91SJJl9+yJ5++0PHFd+/eqrJfj51WT8+Nvx9raW+WuRsrcf2F3MuiTgL8AEtKywikREREREjFNTWY4SExOZPv3ijeO4cXcXWjZv3oIC95s8fjyG//zn1YvOk5yczCuvvO5coeISR4G1RSw3A95AU6APebcZERERERGprNRUirjIwHNfIiIiIiJVmdnVBYiIiIiIiEjVpaZSREREREREnKbDX6WQ+XXqszeh5CvTVndWq4WwsEZERkbrktYiIiIiUm1pT6WIiIiIiIg4TU2liIiIiIiIOE1NpYiIiIiIiDhNTaWIiIiIiIg4TRfqkUKWLl2En5+fq8uoEgYPHuzqEkREREREXEp7KkVERERERMRpaipFRERERETEaWoqRURERERExGlqKuWyt3HjRkwmU5FfZrOZkJAQ/vGPf3Dq1ClXlyoiIiIiUuVUqgv19OnTk+HDh1KnTm08PT0LrLv33odJS0u/6PPnz5/LZ58t4Oeffy3PMstNVa+/sqpXrx5Tpkwpcp3dbmfjxo189tlnJCUl8e2331ZscSIiIiIiVVylaSqbN2/KAw/czfff/8hff+0jJyenwPqMDJuLKpOqLjQ0lNmzZxe7PikpCX9/f3777beKK0pERERE5DJRaZrKsLBm2O12Fi78htzc3CLH+Pv7c8cdt9C2bWt8fX0dy1944WXCwyMAuPPOW7nzzluBvEY0Kiqajz76lJiYk0DRewOHDh3MnXfeyrhxdzvGXIzdbic2No4FCxaxdes2AN5++zX8/c/fhuPs2bPs3v0Xc+d+TmpqapnV7+/vx2233Uzr1q2oVcufpKQkwsMj+fzzLzl9+gwAXbtexdixY6hdOxiz2ay9nyWYOzfvv3f9+vVdXImIiIiISNVTaZrK48djcHd3Z9KkB1m27BcOHjxUaMyUKRPw8PDgww8/5ezZVMfyw4ePOH5evvw3Nm3aCoCHhzs33zya8eNv59//fsVQPRfO4+XlxRNPTOG7735k587dmEwmuna9iocfvo/Jk58kJSWF1157E3f3vDhNJhPXX38tPXp0IyPDxgcffFJm9U+a9CAmk4mPPvqM9PR0vL2tjBp1PRMm3MtLL/2XGjV8eOih+1m5cjVbt24nNzeX2Ng4Q6+9utiwYQOPP/4469evx2q1XnRv5sVYLJ4lDxJHTsqrdJSXMcrLGOVljPIyRnkZo7yMUV7GXGpe6emlO1q00jSVO3bsZvHipYwYMYzu3btw5kwi27fvZO3adURGHiAoKJAWLZozc+b/2L37r2LnOXkyzrHXD6BhwwaMGnW94XounMfb2wpATMwJx7KEhNMMGTKIRo0asnv3X+zffxDI+w82YcK9hIU1Izw8grZtWwOUSf0BAbVo1aoFM2f+j337zo8JCAjgjjvG4ubmRkhIPTw9PVizZl2BZlXOO3DgAE8//TSLFi0CYOjQocyePZsWLVo4NV9oaEhZlnfZU17GKC9jlJcxyssY5WWM8jJGeRmjvIxxNq+dOyNKHkQlaioBFi9eys8//0rnzp3o1KkDPXp0Y+DAfqxe/Ttr1vwBQHJysqE5s7NzsFq9yrzW/HM+L+z6g4ICeeyxyXh7W5kxYyadO3di6NDBAAQGBgCXVn9QUCAATz/9WJFjLRZP3Nzczj0q+hDi6uz06dPMmDGDd955h6ysLHr06MHMmTPp16/fJc17+HAMNltmGVV5+bJYPAkNDVFepaS8jFFexigvY5SXMcrLGOVljPIypqLyqlRNJUBqahpr1vzBmjV/4OHhwQ03DGfUqBGOprKyatSoIU89NZXY2DhmzvwfycnJdO7cqUy3YTbn3QHm7bc/4OTJ2ELr09MzynR7l5MNGzZw4403cvLkSdq2bctLL73E9dcb34NdFJsts9SHBojyMkp5GaO8jFFexigvY5SXMcrLGOVlTHnnVemaygtlZWWxYsUqRo0aQe3awQAFLnDjjPT0DNzd3UoeaNDEiQ9w9OgxZs2aTXZ2dqH1CQmngUurP/+WKsnJKRw4UPicUyna2bNnGTFiBCkpKbzxxhs89NBDjgZdREREREQuTaVpKr29rYSGNiywzN3dnT59epKRkXHuvMUD3HLLjXh5eTmuqAp5F7op6R6W+Q4ePETv3j2Jj09wNH8NGlz6VT99fWsQGxtHWFgzx9Vr8w9XBYiPT7jk+o8ePUZU1GFuu+1mrFZrgUNpbTYbhw5FX/LruBytWrWKhIQE7rnnHiZOnOjqckRERERELiuVpqkMDW3I9OlPFViWkWHj+PEYXn31TRITk5gz5x1uv30s9903Hl/fGo5xF96SoyRz587j3nv/wf33342Xl6XM6v/00/mMHTuGZ555vMBesNTUNMfPl1p/bm4u//vf64wbdzPjx4/D19fXsa2jR4/x1FP/LLPXczk5fTpvL/H27dt55JFHih0XEBDAP/+pDEVEREREjDAFBzfQFV3EYf78uXTp0gU/P7+SB1cRn3zyCXfddVeJ40JDQ4mOjjY09+DBg4mMjNYx/aVgtVoIC2ukvEpJeRmjvIxRXsYoL2OUlzHKyxjlZUxF5aUTy+SyN378eHJzc0v8MtpQioiIiIiImkoRERERERG5BGoqRURERERExGmV5kI9UnmMHDmGvXtLd+Gj6iz/GHURERERkepMeypFRERERETEaWoqRURERERExGlqKkVERERERMRpaipFRERERETEabpQjxQSO3ARp67yc3UZBQTPa+jqEkREREREpAjaUykiIiIiIiJOU1MpIiIiIiIiTlNTKSIiIiIiIk7TOZVSdpKi4aPG5x9b/KDDJOj1gstKEhERERGR8qWmEpgzZxbBwUGOxzk5OZw5k8iOHbv4+utvSUlJMTxn48ahvPTS83zxxVcsW/ZLofXPPvsEvr41mDbt+WLnGD16JEOHDua++yYa3r5LeNaEjlPyfs7Ngb2fwqYXoeNk8A52bW0iIiIiIlIu1FSes2nTVpYv/w0As9lM3bp1GD58KG3btubZZ2eQnp5haL6oqMPExJygS5erCjWVNWv60rJlGAsXfnPROdas+YM9e/YaeyGuZA2AAbPPP47fDcfWQFqcmkoRERERkcuUmspzTp8+Q3h4hOPxX3+FEx4ewSuvvMTAgf1YtuwX3N3dGTVqBD17diM4OIiMjAyOHDnGl18uIjLyQKE516/fxI03Xo+/vx+JiUmO5V26XIXJZGL9+o0AuLm5cdddt9OtW2d8fHwAuPfeh+nXr3eBPZVWq5VbbhlNp07tCQioRWpqGgcPRvHFF19x/HgMHh7u3HXXHXTq1IGaNX0d20tJSeGBB6aUS26lk+vCbYuIiIiISHlSU3kRMTEnSElJISysOcuW/cINNwynb99efPnlIk6fPoOHhzu9e/fk8ccn88gjT5GWll7g+evWbWTMmBvo3LkjK1asdizv1q0zkZEHSEg4DcDAgf3o2bM77777ISkpZwHIyLAVqmf8+Nto3DiUzz//kpSUs1gsngwdOpjHHpvE1KlPc801V9OzZ3feeecDkpPPH7Kbk5NTDulULKvV4uoSCrFYPAt8l4tTXsYoL2OUlzHKyxjlZYzyMkZ5GaO8jLnUvNLTC/ckRVFTWYKMDBve3lYAevXqztq169i8eatj/ZkzifTu3YPQ0IYF9nQCxMbGcfDgIbp0ucrRVPr6+tKqVQs++eQLx7jQ0AbExsaxefOfxdZhMpno3r0Ln3zyBdu377xguZknnphCUFAgtWrVIisrk4iI/QX2jF4OwsIaubqEYoWGhri6hCpFeRmjvIxRXsYoL2OUlzHKyxjlZYzyMsbZvHbujCh5EGoqDQkMDGDUqBGMGjWi0DofH+8in7Nu3SbGjbsJHx9vUlPT6NKlE7m5uWzatMUxxs3Njdzcix8i6u/vh4eHB/fdN5777htf5PZXrVpLr17deeONVzh69BgHDhxix45dbN++q8T5K7vIyGhXl1CIxeJJaGgIhw/HYLNlurqcSk95GaO8jFFexigvY5SXMcrLGOVljPIypqLyUlNZAi8vC+npeYe1uru78+OPy9m4cXOhcSdOnCzy+Rs2bOK2226mU6cO/P77erp378KuXX9x9myqoTrc3NwAmD9/Ifv2RRax/VgyMzN59NFpdOnSiVatWtCmTSuuvnoAe/bsZebM/1XpxrK0u95dwWbLrNT1VTbKyxjlZYzyMkZ5GaO8jFFexigvY5SXMeWdl5rKi7jiihB8fX0dF+FJTU0lOzubAwcOlXqOpKRk9u7dR5cundixYxctW4bxzjsfGa4lNTUNgPT0jItuPz09nbVr17F27ToAhgwZyPjxtxMcHERc3CnD2xUREREREbkYNZXnBATUolWrFkDeXsH8W4rExsbx229rAFi7dj2DBvUnPj6emJiTBfb8RUYeKPaCOGvW/MH999/FDTeMwGbL5M8/txuuLz09na1bt3HDDcPJzMwkPj7Bsc5utxMRsZ+goMAC99t0c3OjefOmZGRkXHbnWIqIiIiISOWgpvKcbt06061bZyDvaqmJiUns2LGLr7/+1nH464IFX5OVlcWIEdcSEFDLcUgqwAMPTHZcufXvNmzYTO/ePenfvw9ffPEVmZnOHc/83ntzueWW0dxyy2j8/f0wm80AZGRkcPfdD9GvX29Gjx7pGJ+RYePEiZPMnv2209s0JOpniP75/OPEc7dZ2fIyeAXm/dxoKDQeWv61iIiIiIhIhVBTCUyZ8mSpxmVnZ/Pll4v48stFhubPzc1l1qzXil3/3ntzi1y+ePFSFi9e6nicmprG3LnzmDt3XqnGV7gTG2H7nMLLwz8//7PFX02liIiIiMhlRE2llJ2e/5f3JSIiIiIi1YbZ1QWIiIiIiIhI1aU9lVJInZVjSNhbuhudioiIiIhI9aY9lSIiIiIiIuI0NZUiIiIiIiLiNDWVIiIiIiIi4jQ1lSIiIiIiIuI0XahHCokduIhTV/m5uowCguc1dHUJIiIiIiJSBO2pFBEREREREaepqRQRERERERGnqakUERERERERp+mcSik7SdHwUePzjy1+0GES9HrBZSWJiIiIiEj50p7KcjRnzizuuONWp5/fuXNH+vbtVWj5c889ydSpEx2PmzVrwn/+8y/mzfuA+fPn0rdvL1q1asH8+XMJDW3g9PYN86wJHafkfXWYCLl22PQipJ2quBpERERERKRCaU9lJXbVVR0JDg5i7dp1BZbPm7eAnBy74/GYMTdgs2Xw8suvkZOTQ0zMCbKysnjhhZc5eTKu4gq2BsCA2ecfx++GY2sgLQ68gyuuDhERERERqTBqKl3k7bdfw9///G07zp49y+7dfzF37uekpqYyZ84sgoODAJg/fy4AixcvZfHipdxxx62kpaXx6qtvOtYBPPPM4wC8++5HnDoVz/TpT/H0089z+PDRCnxlRcl18fZFRERERKS8qKl0kddeexN397z4TSYT119/LT16dCMjw8YHH3zCG2+8y2233YLFYmHevAUAnDoVX2ieF154mfvuG09sbBzfffcjADExJwgJqVdxL0ZERERERKotNZUusn//QQAsFk8mTLiXsLBmhIdH0LZtawAOHDhESkoKOTk5hIdHFDtPeHgEGRk2EhOTCoy73JpKq9Xi6hIKsVg8C3yXi1NexigvY5SXMcrLGOVljPIyRnkZo7yMudS80tNtpRqnptKFgoICeeyxyXh7W5kxYyadO3di6NDBri6rUgoLa+TqEooVGhri6hKqFOVljPIyRnkZo7yMUV7GKC9jlJcxyssYZ/PaubP4nVsXUlPpIo0aNeSpp6YSGxvHzJn/Izk5mc6dO7m6rEorMjLa1SUUYrF4EhoawuHDMdhsma4up9JTXsYoL2OUlzHKyxjlZYzyMkZ5GaO8jKmovNRUusjEiQ9w9OgxZs2aTXZ2dpFj7HZd4CZfaXe9u4LNllmp66tslJcxyssY5WWM8jJGeRmjvIxRXsYoL2PKOy81leWsTp1gOnfuWGi5n19NYmPjCAtrRm5uXvMYFBRYYEx8fALNmzflyivbkJWVzalT8cTHJ1RI3SIiIiIiIqWhprKcderUgU6dOhRa/vXX3zBgQF+eeeZxzGazY3lqaprj5x9++JnGjUN5/PEpuLu7O24pUmlF/QzRP59/nHgg7/uWl8HrXMPcaCg0HlrxtYmIiIiISLlQU1mOpkx58qLrv/nm+4uuT0xM5IUXXi60/MUXZxV4/Mwz/1doTHh4BOPG3V1ykWXpxEbYPqfw8vDPz/9s8VdTKSIiIiJyGVFTKWWn5//lfYmIiIiISLVhLnmIiIiIiIiISNHUVIqIiIiIiIjTdPirFFJn5RgS9pbuRqciIiIiIlK9aU+liIiIiIiIOE1NpYiIiIiIiDhNTaWIiIiIiIg4TU2liIiIiIiIOM0UHNwg19VFiIiIiIiISNWkPZUiIiIiIiLiNDWVIiIiIiIi4jQ1lSIiIiIiIuI0NZUiIiIiIiLiNDWVIiIiIiIi4jQ1lSIiIiIiIuI0NZUiIiIiIiLiNDWVIiIiIiIi4jQ1lSIiIiIiIuI0d1cXIK7Xpk0rhg8fStOmjfH29iYjI4PDh4/y88+/smXLNleXV6kEBQXy+uv/LbTcbreTkHCa77//kRUrVld8YVVEu3ZtuOuu2/Hz8+OrrxazfPlvri6pUmrduiUjRgxz/Js0m8///e+TTz5n+fKVLqyu8ggIqMXYsWNo1aoFfn41MZvNZGRkcPTocX78cTlbtvzp6hJdxmKx8PHH7wCQk5PDgQOHmDnzf2RmZjrGuLm5MXz4UHr06EadOsG4u7uTlJTMnj17WbLkO+LiTrmq/ApXUl6jR49k9OiRhZ5ns9mIjj7CRx99xrFjxyu0Zlcqze/XhUwmE2PHjuHqqweQlJTErFmzOXkytiJLdqnS/nu89tpr6NWrG3Xq1MZisRSY4667JmCz2Sq0blcpTV6dOnVgxIhh1K9/BVarF3a7neTkFPbti+TLLxcRH5/gqvIrlJHPpeX9ed8UHNwg95JnkSqra9ermDx5AjExJ9i0aSuJiUnUqFGDjh2vJCysGR9//Dm//qoPsPm8vLzo1at7oeUmk4muXa+ideuWPPXUPzl+PMYF1VVuHTq0Y+rUSezdu4+aNWvi51eThx+e6uqyKp0uXToxZcpD7N79F/v2RXL2bGqB9fv2Rer365ynn36MNm1asWrVWo4cOYbdbsfXtwaDBvWnVi1/pk59ulo1Rhcym80MGNAXgIYN6zN48EBeffUNtm7d7hgzdeokOnfuyMaNWzhw4BCZmZkEBwfRv38fcnNzee65f1WbD2Yl5dW4cSOaNGlU6HkWi4Xrr7+WU6dOMX36ixVZskuV5vfrQhMm3EuvXt358cflDB8+lKVLl/HVV4srsmSXKk1ejz46kbZtW/P77+s5eTKWrKysAnOsWrUWu91eoXW7Skl5BQYGMHv2yyQlJfPbb6tJTk7BbDbToMEVDBzYj337InnxxVmufAkVprSfS6+4ol65f97Xnspqbty4m0lIOM2zz84gKyvbsXzp0h+YMeNZbrnlRtas+aPYvz5WNxkZGfz22+oi1508GUvbtq2pXz9EH/r/pmnTJkye/BAREft55ZXXueeeO+nRo5ury6qUbrvtFjZt2sIbb7zn6lIqvUaNQtm5czcfffRZgeVHjhzj8ccnExrasNo2lXa73fFe1axZEwYPHoi3t7djfatWLejcuSPff/8TCxZ8XeC5v/++nv/8ZwajRo3ggw8+qcCqXaekvKKioomKii7yuY0bN+SqqzpVQJWVR0l5Xei2226hT5+efPjhp6xcuYbhw4fi41P02MtVaf49dunSif/851V27drjoiorj5LyCg1tgJubG/PmLWDTpq0FnluzZk3atWtTkeW6VGk/l956603l/nlf51RWY3Xq1KZ27WB27txd4Bcs39at2/H29qZZsyYuqK5qCQmpy7hxN2G32zly5Jiry6lU6tatwxNPTOHEiRO8+uobZGcX/l2TPPn/JqOiDhMQUMvx5e/vh8lkcnV5lY7ZbCItLa3Q8vxlFx42LAW1bdsagM2bCx8ifOzYcU6ejK1WH8yc1adPT7p0uYrDh4+4upRK6dprr+G6667hq6+WsHLlGleXU2m1bdsau93OiRMnC7z3V7fmu7Ty/3+Ymlr0+7/ZrP9f/v1zaUV83teeymrM398PgKSk5CLXJyfnLa9Vy7+iSqpyLBZPbrhhBNdeO4TcXJg7dx4nTpx0dVmVhr+/H9OmTSU1NZWXX36N9PQMV5dUqfn51QTyjiAYN+7mAuuys7PZtGkLH300j4wM5QiwZ0847dq1pW3b1pw4cZLc3Fy8vb0ZMmQQNpuNyMj9ri6x0sp//89/n/+7pKRkwsKaVWRJVcoVV4Rw112307p1S2JiTvLeex+5uqRKp2fPbowbdxM//fQrS5f+4OpyKrX8c8LnzCl8yGZiYhILFy5h9erfXVBZ5bR//yEyMjIYMmQgSUlJpKamYTKZqFOnNu3bt2P37r2uLtFlivpcWrOmL1D+n/fVVFZjJf0VPzc373RbNze3iiinyuna9Spuv30sQUGB7Ny5m88+W6CG8gIeHu48+eQjuLu78+KLs0hOTnF1SZVe/r+17777kYiI8w2RyWSiRYvmjBgxjBMnYlmy5DtXlVipfPTRp0yb9hjPPPN4geU2m40333yPM2cSXVNYFZD//p//Pv93ubm5eu8vgpeXF6NHj+SaawaRk5PD4sVL+e67Hwud/1bdtWjRnAcfvIf16zcxb94CV5dT6bm5uZGdnc1rr71VYLmnpyfDhg3m3nv/wV9/hXPqVLyLKqxckpOTef31d5g8+SE6dy546Hl09OFqc9j+3xX3ubRVqxYXfV5Zfd5XU1mNlXTCd/7hBTk5ORVRTpXh4+PDhAn30KlTB+LiTl304gTVWZ8+vWjUKJT33/8Yu91OQEAtx7r8q9oFBNTCZrMVeQhLdZT/xn748BG2b99ZYN22bTvo2bMbTZs2dkVplY7JZGLq1En4+dXkk0++ICEhAbs9Fy8vL7p1u4qJEx/gv/+dw969+1xdaqWU//5f3GHVJpNJ7/1/06pVCx5++H4CAmqxefOffP75l9XmQkZGjRt3E+np6Sxa9G2B9/58FouFgIBaJCen6JSIc+z23ELv+wCpqak888zjNGnSSE3lOY0bhzJp0gT27t3Hhg2bSEtLx2QyERBQi+HDhzJt2lT+7/9eKvJQz8tRSZ9LK+rzvprKaiwxMQk4f8jd39Wsmbdcf+0v6NFHH6ZFi+bn/kK9rNq8aRmV//t1//13FTvmzTf/x5o1f/Dee3MrqqxKLf8E+b9fSj6fzWbD09OzIkuqtBo1akjLlmF88MEnrFq1tsC6DRs28d57rzN48AA1lcXI//dZs2bNIj+o+vnV1Hv/BUJC6vHkk4+QnJzCv//9Cnv2VN/D60rjzJlEmjdvxuzZLxe5vk+fnvTp05MXXniZ8PCICq6u8rHZMnF3d8NsNhdqAPJPd9B7/3l9+/bCYvFkzpy3Cn0GO3PmDI89Npk2bVqzY8cuF1VYsUr6XFpRn/fVVFZjsbFxxMWdokOHK/HwcC/0S9ilSyfS0tI4cOCQiyqsfOrVq0vr1i1ZuHAJ336rc0QuZtu2HTz++LPUrh1caG/IsGGDadkyjNdee4uEhNMuqrDyOXHiJNnZ2bRo0bzQ+TMmk4kaNWroEGuHvN+pog7jd3NzO3ehBl2soTh79uxl1KgRdO16FQcPFnyPb9DgCurWrcOaNX+4qLrKp0+fnnh4eDBjxkxOnz7j6nIqvTfeeI/mzVdgtVoLrXviiSns2LGLX39dxdGjurAd5F0cy2w2ExbWjH37Igusy28EdC79efmfKYp6/3d3dy8w5nJXms+lFfV5X01lNTd//kImT57ASy89z8aNW0hKSqZGDR86dmxPs2ZN+Pjjz3U7kQvkv7kHBwcxaFD/Isds27ZDf+E/JybmBDExJwot79r1qmIP9anO0tMz+P33DfTr1wsvLy/27z+IzWbDw8ODdu1aU7OmLzt37nZ1mZXCsWPHOXMmkZtuGkVgYACnT58mNxesVi86dmyPj48Pu3f/5eoyXSb/gwbkvV8BtG7dEg8PDwDWrdvI1q3bGTFiGEFBgRw8eIjMzCzHfSrPnk3lm2++d1n9Fa2kvPz9/bDb7XTs2L7I52dkZLBu3caKKbYSKM3v19+bowvFxydUq/f/kvLasWMXSUnJTJ06kdWr/+DUqXjHfXcHDOhLenoG+/ZVnwuPlZTXgQOHGDJkENOmPcaWLduw2WyYTCZq1fJnwIC+pKWlFfpj2eWqtJ9LK+Lzvik4uEHRZ+lLtdG6dUuuv/5amjRphLe3NxkZNg4fPsJPP/3K1q3bXF1epdKqVQumT3/qomN0aFTJHnjgbnr06Mb48Q+4upRKx93dnREjhtGjR1dq1w7G09OTtLR04uLiWLXq90u+OfHlpFGjhtx882iaNm2Ej48PZrOZzMxM4uLiWbduA0uXLnN1iS7Tt28vHnzwnmLXT578BGfOJHLdddfQs2d36tatjZubG0lJyezZs5fFi5dWq/O3SsprzZo/6Nevd7HrExJOM2nS48Wuv9yU5veruPNN58+fy4oVq5g7d155lVfplCYvDw8PxowZScuWLahZ0xeTyURycgoHDhxi6dIfOHgwqgIrdq3S5NWpUwf69+9D3bp18PKyYLfbSU9PJzr6CIsWfVvgYneXMyOfS8v7876aShEREREREXGa7gwtIiIiIiIiTlNTKSIiIiIiIk5TUykiIiIiIiJOU1MpIiIiIiIiTlNTKSIiIiIiIk5TUykiIiIiIiJOU1MpIiIiIiIiTnN3dQEiIiLFee65J2nduqXh5/395usdOlxJv369aNq0CTVr1sTT0wOA9PQMzpw5w969+1i+fCXHjh0vNNecObMIDg4qcjt2u52UlBQSEs6wc+dufvxxOampqcXWZbFY+Pjjdwo8/9SpeObN+5Jt23Zc9DXVrh3MkCGDaNu2FUFBgXh7e5eq/qJc7DX9XXT0EZ555v+A8zfazsnJ4Y477iswrkuXTowdO4ZatfzZs2cv77//MWfPFp9FcXNdbBtt27bmmmsG0bRpE2rU8MHdveiPMd988z1ff/0NcP5G6idPxjJ16tMlvt78bN56633WrdsIQFBQIK+//t8Sn5vvp59+Zd68BZdUt4hIVaKmUkREKq2kpCROnYovtDwgoBZubm4kJ6dgs9kKrbfb7QC4ubnx8MP30717FwAyMzNJSUlxrHd3d6dOndqEhNRj4MB+zJv3Jb/8sqLIWorblo+PN02aNKJJk0b07t2Df/7zRZKSkoucIzc3t8Dr8fHxpk6d2jzwwF088MCUYnPo2bMbDzxwNx4eHtjtdpKTU0hNjTdUv5HXdKHExMQS5/H19eWhh+7DYrGQmZlF586d8PX15V//+g+5ubmlrudirr66P3fffScAWVlZJCYmFTt3ampamWyzKAkJpx2/P8U5e/as4+fKUreISHlSUykiIpXWG2+8V+Ty/L1J8+YtcOxNKspNN42ie/cupKSk8P77H7N9+65CDYHFYuHqq/tz6603cccdYzl+PIY9e/YWmuti22rcOJRp0x4jODiIG2+8no8//rzIcZmZmUyZ8qTjcUhIXV555d/4+vri7+9HYmJSoeeEhjbgwQfvwd3dnR9++JnvvltWYA9gaesvSkn5lVZYWFMsFgtnziTyxBPP8p///IsWLZozfPgwvv/+x0ue32KxMG7czQAsWfId33zzPTk5OZc8rzOef/4lTp8+U6qxlaluEZHypHMqRUTksuTj48011wwCYP78r/nzzx1F7mGy2WwsW/YL69ZtxGw2c+ON1xveVlTUYTZs2ARAWFjzUj8vI+P8XsLiDom8/vprcXd3Jzw8gvnzFxY6pLQs6r9UPj4+jlrS0tL57LO8Qz9vvHEEtWsHX/L89etfgZeXFwBLly6rMo1ZVa1bRMQoNZUiInJZatEiDIvFAsD69ZtKHJ8/JiysGVarl+HtpaTkHfLozHMvpm3bNgCOprU4l1p/Wdq6dRvbtu3EYrFw1123X/J8mZmZjp+vvLLNJc9XUapq3SIiRqmpFBGRy1LdurWBvPMys7KyShyff66j2Wx2au+ar28NIO/iP2XFx8fHMe+pUwkXHXup9Ze1Tz75HJvNRvv27ejRo9slzXXs2HHi4k4B8OijE5k8eQKdO3fCYvEsi1LLTVWtW0TEKJ1TKSIil6X8ww4zM0tuKPPGnd+rZLVaDW0rNLQhPXp0BWD//gOGnnsxF+5xvLC+olxK/eUhPj6Bb775nrFjx3DHHWPZuXMXaWnpTs2Vm5vLa6+9yeTJE6hXry7du3ehe/cuZGZmsW9fBNu27WTz5q1FnpOaLygokDlzZpW4rYCAWk7VWF51i4hUBWoqRUTksmQymcr0uXfccSs333xjoeXe3t74+HgDeY3UkiXfOb3dslLa1/7ww/fz8MP3X3TMhbcUMWrZsl/o3bsn9euHcOutN/HRR585NQ/A4cNHmTbtefr16+24PYynpwdXXtmWK69sy+2338K2bTv4/POvCtxOJp+7u3upb6NyMW+++b8Sx1x4S5FLrVtEpCpQUykiIpelS7mVRVHPrVnTF/AtsMxut5Oamkp09BF27drDsmU/O86tdKXSvvayuqVIcXJycvj443lMn/4UAwb0Ze3adezff9Dp+bKyslixYhUrVqzC39+f9u3b0r59O9q1a42Pjw9du3ambds2zJz5CgcPRhV4rtH7VBbH6C1FLrVuEZGqQE2liIhcljIy8s5t9PT0KNX4/Iv6QNHnRb711vtlcvsNIy6sw9Pz4ufhlVR/UcrqliIXEx4ewe+/r6dPn57cc88/ePbZGWVyFdTExETWrPmDNWv+wM3Njc6dO3HnnbdSq5Y/t912C//613/KoPrCjNxSpCiuqltEpDzpQj0iInJZio2NA8DPz6/EhgzyzrmDvL2P+RdXcbXU1FTHXq/g4MCLjq2M9ef74ouvSE1NpWHD+lx33TVlPn9OTg6bNm3hyy8XAdCkSeMy30Z5qKp1i4j8nZpKERG5LO3bt99x8ZqePUu++mivXt0B2L//IOnpzl1Qpjzs3r0XoMQrqFbW+iHvMNsvv1wMwKhRZXPvyqLk38MzK+viFzWqbKpq3SIi+dRUiojIZSk1NZXly38DYOzYMXTq1AGzufD/9iwWC9dee42j8fzmm+8rtM6SfP/9j2RnZ9OqVQvGjbsJHx+fAusre/35Vq5cw/79B7FYLDzwwN00a9YUoMwaYD+/mowYMQyAPXvCy2TOilBV6xYRuZDOqRQRkcvWV18tITg4iG7duvD445Ox2WykpJx1XMjGzc2NmjV9cXd3x263M2/eAnbt2lNu9QwdOphhwwY7Hl/Y5D7//NMFLgAzZcqTQN7VV99//2Puu288w4cP49prryEpKZns7OwKr/9S5Obm8t57c3nxxem0atWCVq1aABARsb9Uz3/uuSeLvYCOu7s7fn41MZvNpKSc5auvFpVZ3X83Y8azJV6oZ/Xq3x3NfWWpW0SkPKmpFBGRy1ZOTg5z5rxDx47r6du3J82aNaVmzZqOi/dkZGQQF3eKvXv38csvv3H8eEy51uPj411sgxEYGFDs8/74YwORkQe45pqradOmFUFBgdSq5V/h9V+qmJgTzJo1m/Hjb6N27docPHiITz+dX6rnBgTUKja7rKws4uMT2LNnL99++0O53prjYv+d8tWoUcPxc2WpW0SkPJmCgxs4f811ERERERERqdZ0TqWIiIiIiIg4TU2liIiIiIiIOE1NpYiIiIiIiDhNTaWIiIiIiIg4TU2liIiIiIiIOE1NpYiIiIiIiDhNTaWIiIiIiIg4TU2liIiIiIiIOE1NpYiIiIiIiDhNTaWIiIiIiIg4TU2liIiIiIiIOO3/AW6x55o4vauyAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1000x650 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "top10Finishes = season2022RaceResults[season2022RaceResults['Position'].isin([str(i) for i in range(1,11)])] \\\n",
    "                ['Driver'].value_counts()\n",
    "c = assign_color('drivers', top10Finishes.index)\n",
    "plt.figure(figsize=(10,6.5))\n",
    "plt.axis([0,20.4,20.6,-0.6])\n",
    "plt.barh([\" \".join(driver.split()[1:]) for driver in top10Finishes.index], top10Finishes, color=c)\n",
    "for i in range(len(top10Finishes)):\n",
    "    plt.text(top10Finishes[i]-0.83, i+0.25, \"{:>3}\".format(top10Finishes[i]), fontsize=12, fontweight='bold', color='k')\n",
    "plt.title('Formula 1 - 2022 Season\\n# of Top 10 Finishes (Drivers)', fontsize=19, fontweight='bold', color='#bbbbbb')\n",
    "plt.xlabel('TOP 10 FINISHES', fontsize=14, fontweight='bold', color='#bbbbbb')\n",
    "plt.ylabel('DRIVERS', fontsize=14, fontweight='bold', color='#bbbbbb')\n",
    "plt.xticks(range(0,22,2), range(0,22,2), color='#bbbbbb')\n",
    "plt.yticks(color='#bbbbbb', fontsize=9)\n",
    "plt.axvline(0, color='#bbbbbb')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fe6b8507",
   "metadata": {},
   "source": [
    "This is it! **Max Verstappen** and **George Russell** shared the top positions of being the most top 10 finishers this season, with **20** locations. The races where the Dutchman did not earn points were Bahrain and Australia, ended with DNF. Similarly, Russell completed the races in Great Britain (DNF) and Singapore (P14) with no points.\n",
    "\n",
    "Then, these trio **Perez**, **Leclerc** and **Hamilton** were coming after them, successfully completing 19 different races with points finishes. Next, there were **five** other drivers who achieved to finish in the top 10 in ten or more races: Norris, Ocon, Sainz, Alonso and Vettel, in descending order.\n",
    "\n",
    "By comparing the teammates, the biggest gap appeared to come from **McLaren** drivers, although Lando Norris was in points finishes in 17 different races, Daniel Ricciardo's number was significantly less, which was 7!\n",
    "\n",
    "**Nyck De Vries** also appeared in this visual, because in Italy GP race weekend, he replaced Alex Albon who was in hospital for appendicitis treatment, then with a great drive, he successfully finished the race in **ninth place** and earned two points for himself and Williams team!"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a3e014dc",
   "metadata": {},
   "source": [
    "## 2022 Season - Fastest Laps (+1 Pt) in Race Sessions"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "98c09445",
   "metadata": {},
   "source": [
    "Since 2019, **an additional point** is awarded to the driver who set the fastest lap time in Sunday's race session. Of course, 2022 Season was like no other in terms of grabbing this valuable point for any driver which could affect their placements in Drivers Standings! As part of the race strategy, sometimes we witnessed a few drivers and teams to steal the point from their rivals when there were a couple of laps remaining, such as by putting **the frest set of soft tyres** and **the gap behind the driver was so large**, even there was no allegation for winning the race! However, the only important condition is that the driver must finish in the top 10 in order to get the fastest lap point.\n",
    "\n",
    "In the table below, we can observe which drivers achieved to put the fastest lap point into their pockets, through all races of 2022 Season. Nevertheless, one can notice that the points have been distributed for **20 different races**..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "97af63d9",
   "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>Position</th>\n",
       "      <th>No</th>\n",
       "      <th>Driver</th>\n",
       "      <th>Team</th>\n",
       "      <th>Starting Grid</th>\n",
       "      <th>Laps</th>\n",
       "      <th>Time/Retired</th>\n",
       "      <th>Points</th>\n",
       "      <th>+1 Pt</th>\n",
       "      <th>Fastest Lap</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Track</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Bahrain</th>\n",
       "      <td>1</td>\n",
       "      <td>16</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>1</td>\n",
       "      <td>57</td>\n",
       "      <td>1:37:33.584</td>\n",
       "      <td>26</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1:34.570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Saudi Arabia</th>\n",
       "      <td>2</td>\n",
       "      <td>16</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>2</td>\n",
       "      <td>50</td>\n",
       "      <td>+0.549</td>\n",
       "      <td>19</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1:31.634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Australia</th>\n",
       "      <td>1</td>\n",
       "      <td>16</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>1</td>\n",
       "      <td>58</td>\n",
       "      <td>1:27:46.548</td>\n",
       "      <td>26</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1:20.260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Emilia Romagna</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>1</td>\n",
       "      <td>63</td>\n",
       "      <td>1:32:07.986</td>\n",
       "      <td>26</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1:18.446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Miami</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>3</td>\n",
       "      <td>57</td>\n",
       "      <td>1:34:24.258</td>\n",
       "      <td>26</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1:31.361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Spain</th>\n",
       "      <td>2</td>\n",
       "      <td>11</td>\n",
       "      <td>Sergio Perez</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>5</td>\n",
       "      <td>66</td>\n",
       "      <td>+13.072</td>\n",
       "      <td>19</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1:24.108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Monaco</th>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>Lando Norris</td>\n",
       "      <td>McLaren Mercedes</td>\n",
       "      <td>5</td>\n",
       "      <td>64</td>\n",
       "      <td>+12.231</td>\n",
       "      <td>9</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1:14.693</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Azerbaijan</th>\n",
       "      <td>2</td>\n",
       "      <td>11</td>\n",
       "      <td>Sergio Perez</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>2</td>\n",
       "      <td>51</td>\n",
       "      <td>+20.823</td>\n",
       "      <td>19</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1:46.046</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Canada</th>\n",
       "      <td>2</td>\n",
       "      <td>55</td>\n",
       "      <td>Carlos Sainz</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>3</td>\n",
       "      <td>70</td>\n",
       "      <td>+0.993</td>\n",
       "      <td>19</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1:15.749</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Great Britain</th>\n",
       "      <td>3</td>\n",
       "      <td>44</td>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>5</td>\n",
       "      <td>52</td>\n",
       "      <td>+6.225</td>\n",
       "      <td>16</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1:30.510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Austria</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>1</td>\n",
       "      <td>71</td>\n",
       "      <td>+1.532</td>\n",
       "      <td>19</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1:07.275</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>France</th>\n",
       "      <td>5</td>\n",
       "      <td>55</td>\n",
       "      <td>Carlos Sainz</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>19</td>\n",
       "      <td>53</td>\n",
       "      <td>+28.872</td>\n",
       "      <td>11</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1:35.781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hungary</th>\n",
       "      <td>2</td>\n",
       "      <td>44</td>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>7</td>\n",
       "      <td>70</td>\n",
       "      <td>+7.834</td>\n",
       "      <td>19</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1:21.386</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Belgium</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>14</td>\n",
       "      <td>44</td>\n",
       "      <td>1:25:52.894</td>\n",
       "      <td>26</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1:49.354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Netherlands</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>1</td>\n",
       "      <td>72</td>\n",
       "      <td>1:36:42.773</td>\n",
       "      <td>26</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1:13.652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Italy</th>\n",
       "      <td>6</td>\n",
       "      <td>11</td>\n",
       "      <td>Sergio Perez</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>13</td>\n",
       "      <td>53</td>\n",
       "      <td>+6.091</td>\n",
       "      <td>9</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1:24.030</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>United States</th>\n",
       "      <td>5</td>\n",
       "      <td>63</td>\n",
       "      <td>George Russell</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>4</td>\n",
       "      <td>56</td>\n",
       "      <td>+44.815</td>\n",
       "      <td>11</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1:38.788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mexico</th>\n",
       "      <td>4</td>\n",
       "      <td>63</td>\n",
       "      <td>George Russell</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>2</td>\n",
       "      <td>71</td>\n",
       "      <td>+49.431</td>\n",
       "      <td>13</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1:20.153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brazil</th>\n",
       "      <td>1</td>\n",
       "      <td>63</td>\n",
       "      <td>George Russell</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>1</td>\n",
       "      <td>71</td>\n",
       "      <td>1:38:34.044</td>\n",
       "      <td>26</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1:13.785</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Abu Dhabi</th>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>Lando Norris</td>\n",
       "      <td>McLaren Mercedes</td>\n",
       "      <td>7</td>\n",
       "      <td>58</td>\n",
       "      <td>+56.234</td>\n",
       "      <td>9</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1:28.391</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Position  No           Driver                  Team  \\\n",
       "Track                                                                \n",
       "Bahrain               1  16  Charles Leclerc               Ferrari   \n",
       "Saudi Arabia          2  16  Charles Leclerc               Ferrari   \n",
       "Australia             1  16  Charles Leclerc               Ferrari   \n",
       "Emilia Romagna        1   1   Max Verstappen  Red Bull Racing RBPT   \n",
       "Miami                 1   1   Max Verstappen  Red Bull Racing RBPT   \n",
       "Spain                 2  11     Sergio Perez  Red Bull Racing RBPT   \n",
       "Monaco                6   4     Lando Norris      McLaren Mercedes   \n",
       "Azerbaijan            2  11     Sergio Perez  Red Bull Racing RBPT   \n",
       "Canada                2  55     Carlos Sainz               Ferrari   \n",
       "Great Britain         3  44   Lewis Hamilton              Mercedes   \n",
       "Austria               2   1   Max Verstappen  Red Bull Racing RBPT   \n",
       "France                5  55     Carlos Sainz               Ferrari   \n",
       "Hungary               2  44   Lewis Hamilton              Mercedes   \n",
       "Belgium               1   1   Max Verstappen  Red Bull Racing RBPT   \n",
       "Netherlands           1   1   Max Verstappen  Red Bull Racing RBPT   \n",
       "Italy                 6  11     Sergio Perez  Red Bull Racing RBPT   \n",
       "United States         5  63   George Russell              Mercedes   \n",
       "Mexico                4  63   George Russell              Mercedes   \n",
       "Brazil                1  63   George Russell              Mercedes   \n",
       "Abu Dhabi             6   4     Lando Norris      McLaren Mercedes   \n",
       "\n",
       "                Starting Grid  Laps Time/Retired  Points +1 Pt Fastest Lap  \n",
       "Track                                                                       \n",
       "Bahrain                     1    57  1:37:33.584      26   Yes    1:34.570  \n",
       "Saudi Arabia                2    50       +0.549      19   Yes    1:31.634  \n",
       "Australia                   1    58  1:27:46.548      26   Yes    1:20.260  \n",
       "Emilia Romagna              1    63  1:32:07.986      26   Yes    1:18.446  \n",
       "Miami                       3    57  1:34:24.258      26   Yes    1:31.361  \n",
       "Spain                       5    66      +13.072      19   Yes    1:24.108  \n",
       "Monaco                      5    64      +12.231       9   Yes    1:14.693  \n",
       "Azerbaijan                  2    51      +20.823      19   Yes    1:46.046  \n",
       "Canada                      3    70       +0.993      19   Yes    1:15.749  \n",
       "Great Britain               5    52       +6.225      16   Yes    1:30.510  \n",
       "Austria                     1    71       +1.532      19   Yes    1:07.275  \n",
       "France                     19    53      +28.872      11   Yes    1:35.781  \n",
       "Hungary                     7    70       +7.834      19   Yes    1:21.386  \n",
       "Belgium                    14    44  1:25:52.894      26   Yes    1:49.354  \n",
       "Netherlands                 1    72  1:36:42.773      26   Yes    1:13.652  \n",
       "Italy                      13    53       +6.091       9   Yes    1:24.030  \n",
       "United States               4    56      +44.815      11   Yes    1:38.788  \n",
       "Mexico                      2    71      +49.431      13   Yes    1:20.153  \n",
       "Brazil                      1    71  1:38:34.044      26   Yes    1:13.785  \n",
       "Abu Dhabi                   7    58      +56.234       9   Yes    1:28.391  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "season2022RaceResults[season2022RaceResults['+1 Pt'] == 'Yes'].set_index('Track')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "844d4182",
   "metadata": {},
   "source": [
    "Let me tell you; those races, where the fastest lap point was not given, happened in **Singapore** and **Japan**: There, **George Russell** set the fastest lap time in Singapore with **1:46.458**, but finished the race in **P14**. For the other one, **Guanyu Zhou** went the fastest in one lap with **1:44.411** in Japan, but no point was earned due to completing the race in P16.\n",
    "\n",
    "Again, from this table, we see some patterns in terms of drivers: **Leclerc** became the driver for having the fastest lap times **in the first three races** of the season. Similarly, **Russell** had this at most three consecutive races where the conditions were valid.\n",
    "\n",
    "Moreover, in **five different race weekends**, the driver who started on pole position and won the race, also successfully gained the fastest lap point to maximize their efforts!\n",
    "\n",
    "Now, let's observe the drivers altogether for how many times they earned the fastest lap time points in 2022 Season:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "47a8a72a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 900x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fastestLapPoints = season2022RaceResults[season2022RaceResults['+1 Pt'] == 'Yes']['Driver'].value_counts()\n",
    "c = assign_color('drivers', fastestLapPoints.index)\n",
    "plt.figure(figsize=(9,5))\n",
    "plt.axis([0,5.2,6.5,-0.5])\n",
    "plt.barh([driver.split()[1] for driver in fastestLapPoints.index], fastestLapPoints, color=c)\n",
    "for i in range(len(fastestLapPoints)):\n",
    "    plt.text(fastestLapPoints[i]-0.22, i+0.15, fastestLapPoints[i], fontsize=17, fontweight='bold', color='k')\n",
    "plt.title('Formula 1 - 2022 Season\\nPoints Earned From Fastest Laps (Drivers)', fontsize=19, fontweight='bold', color='#bbbbbb')\n",
    "plt.xlabel('POINTS', fontsize=14, fontweight='bold', color='#bbbbbb')\n",
    "plt.ylabel('DRIVERS', fontsize=14, fontweight='bold', color='#bbbbbb')\n",
    "plt.xticks(color='#bbbbbb')\n",
    "plt.yticks(color='#bbbbbb')\n",
    "plt.axvline(0, color='#bbbbbb')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f827aa59",
   "metadata": {},
   "source": [
    "The champion **Max Verstappen** also became the driver with the most points earned from fastest laps through race sessions, witha total of 5 times!\n",
    "\n",
    "After him, **Leclerc**, **Perez** and **Russell** obtained these points three times in the whole season. Later, **Norris**, **Sainz**, and **Hamilton** got them twice.\n",
    "\n",
    "Overall, **seven** different drivers acheived to set the fastest lap times in different races of 2022, by taking into account their top 10 finishes. Generally speaking, this is actually **eight** if we include Zhou."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7305388e",
   "metadata": {},
   "source": [
    "## 2022 Season - Qualifying Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a57b713c",
   "metadata": {},
   "source": [
    "Now is the time for the qualifying analysis of this season. Let's learn who set **the fastest lap time** on **Saturday** (or **Friday** if Sprint race was featured) of each race weekend, by checking the table below:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "2e6f177f",
   "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>No</th>\n",
       "      <th>Driver</th>\n",
       "      <th>Team</th>\n",
       "      <th>Q1</th>\n",
       "      <th>Q2</th>\n",
       "      <th>Q3</th>\n",
       "      <th>Laps</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Track</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Bahrain</th>\n",
       "      <td>16</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>1:31.471</td>\n",
       "      <td>1:30.932</td>\n",
       "      <td>1:30.558</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Saudi Arabia</th>\n",
       "      <td>11</td>\n",
       "      <td>Sergio Perez</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>1:29.705</td>\n",
       "      <td>1:28.924</td>\n",
       "      <td>1:28.200</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Australia</th>\n",
       "      <td>16</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>1:18.881</td>\n",
       "      <td>1:18.606</td>\n",
       "      <td>1:17.868</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Emilia Romagna</th>\n",
       "      <td>1</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>1:19.295</td>\n",
       "      <td>1:18.793</td>\n",
       "      <td>1:27.999</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Miami</th>\n",
       "      <td>16</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>1:29.474</td>\n",
       "      <td>1:29.130</td>\n",
       "      <td>1:28.796</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Spain</th>\n",
       "      <td>16</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>1:19.861</td>\n",
       "      <td>1:19.969</td>\n",
       "      <td>1:18.750</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Monaco</th>\n",
       "      <td>16</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>1:12.569</td>\n",
       "      <td>1:11.864</td>\n",
       "      <td>1:11.376</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Azerbaijan</th>\n",
       "      <td>16</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>1:42.865</td>\n",
       "      <td>1:42.046</td>\n",
       "      <td>1:41.359</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Canada</th>\n",
       "      <td>1</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>1:32.219</td>\n",
       "      <td>1:23.746</td>\n",
       "      <td>1:21.299</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Great Britain</th>\n",
       "      <td>55</td>\n",
       "      <td>Carlos Sainz</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>1:40.190</td>\n",
       "      <td>1:41.602</td>\n",
       "      <td>1:40.983</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Austria</th>\n",
       "      <td>1</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>1:05.852</td>\n",
       "      <td>1:05.374</td>\n",
       "      <td>1:04.984</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>France</th>\n",
       "      <td>16</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>1:31.727</td>\n",
       "      <td>1:31.216</td>\n",
       "      <td>1:30.872</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hungary</th>\n",
       "      <td>63</td>\n",
       "      <td>George Russell</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>1:18.407</td>\n",
       "      <td>1:18.154</td>\n",
       "      <td>1:17.377</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Belgium</th>\n",
       "      <td>1</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>1:44.581</td>\n",
       "      <td>1:44.723</td>\n",
       "      <td>1:43.665</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Netherlands</th>\n",
       "      <td>1</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>1:11.317</td>\n",
       "      <td>1:10.927</td>\n",
       "      <td>1:10.342</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Italy</th>\n",
       "      <td>16</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>1:21.280</td>\n",
       "      <td>1:21.208</td>\n",
       "      <td>1:20.161</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Singapore</th>\n",
       "      <td>16</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>1:54.129</td>\n",
       "      <td>1:52.343</td>\n",
       "      <td>1:49.412</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Japan</th>\n",
       "      <td>1</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>1:30.224</td>\n",
       "      <td>1:30.346</td>\n",
       "      <td>1:29.304</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>United States</th>\n",
       "      <td>55</td>\n",
       "      <td>Carlos Sainz</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>1:35.297</td>\n",
       "      <td>1:35.590</td>\n",
       "      <td>1:34.356</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mexico</th>\n",
       "      <td>1</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>1:19.222</td>\n",
       "      <td>1:18.566</td>\n",
       "      <td>1:17.775</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brazil</th>\n",
       "      <td>20</td>\n",
       "      <td>Kevin Magnussen</td>\n",
       "      <td>Haas Ferrari</td>\n",
       "      <td>1:13.954</td>\n",
       "      <td>1:11.410</td>\n",
       "      <td>1:11.674</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Abu Dhabi</th>\n",
       "      <td>1</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>1:24.754</td>\n",
       "      <td>1:24.622</td>\n",
       "      <td>1:23.824</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                No           Driver                  Team        Q1        Q2  \\\n",
       "Track                                                                           \n",
       "Bahrain         16  Charles Leclerc               Ferrari  1:31.471  1:30.932   \n",
       "Saudi Arabia    11     Sergio Perez  Red Bull Racing RBPT  1:29.705  1:28.924   \n",
       "Australia       16  Charles Leclerc               Ferrari  1:18.881  1:18.606   \n",
       "Emilia Romagna   1   Max Verstappen  Red Bull Racing RBPT  1:19.295  1:18.793   \n",
       "Miami           16  Charles Leclerc               Ferrari  1:29.474  1:29.130   \n",
       "Spain           16  Charles Leclerc               Ferrari  1:19.861  1:19.969   \n",
       "Monaco          16  Charles Leclerc               Ferrari  1:12.569  1:11.864   \n",
       "Azerbaijan      16  Charles Leclerc               Ferrari  1:42.865  1:42.046   \n",
       "Canada           1   Max Verstappen  Red Bull Racing RBPT  1:32.219  1:23.746   \n",
       "Great Britain   55     Carlos Sainz               Ferrari  1:40.190  1:41.602   \n",
       "Austria          1   Max Verstappen  Red Bull Racing RBPT  1:05.852  1:05.374   \n",
       "France          16  Charles Leclerc               Ferrari  1:31.727  1:31.216   \n",
       "Hungary         63   George Russell              Mercedes  1:18.407  1:18.154   \n",
       "Belgium          1   Max Verstappen  Red Bull Racing RBPT  1:44.581  1:44.723   \n",
       "Netherlands      1   Max Verstappen  Red Bull Racing RBPT  1:11.317  1:10.927   \n",
       "Italy           16  Charles Leclerc               Ferrari  1:21.280  1:21.208   \n",
       "Singapore       16  Charles Leclerc               Ferrari  1:54.129  1:52.343   \n",
       "Japan            1   Max Verstappen  Red Bull Racing RBPT  1:30.224  1:30.346   \n",
       "United States   55     Carlos Sainz               Ferrari  1:35.297  1:35.590   \n",
       "Mexico           1   Max Verstappen  Red Bull Racing RBPT  1:19.222  1:18.566   \n",
       "Brazil          20  Kevin Magnussen          Haas Ferrari  1:13.954  1:11.410   \n",
       "Abu Dhabi        1   Max Verstappen  Red Bull Racing RBPT  1:24.754  1:24.622   \n",
       "\n",
       "                      Q3  Laps  \n",
       "Track                           \n",
       "Bahrain         1:30.558    15  \n",
       "Saudi Arabia    1:28.200    20  \n",
       "Australia       1:17.868    21  \n",
       "Emilia Romagna  1:27.999    22  \n",
       "Miami           1:28.796    25  \n",
       "Spain           1:18.750    12  \n",
       "Monaco          1:11.376    24  \n",
       "Azerbaijan      1:41.359    19  \n",
       "Canada          1:21.299    30  \n",
       "Great Britain   1:40.983    26  \n",
       "Austria         1:04.984    19  \n",
       "France          1:30.872    17  \n",
       "Hungary         1:17.377    23  \n",
       "Belgium         1:43.665     9  \n",
       "Netherlands     1:10.342    12  \n",
       "Italy           1:20.161    14  \n",
       "Singapore       1:49.412    20  \n",
       "Japan           1:29.304    13  \n",
       "United States   1:34.356    14  \n",
       "Mexico          1:17.775    16  \n",
       "Brazil          1:11.674    26  \n",
       "Abu Dhabi       1:23.824    17  "
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "season2022QualifyingResults[season2022QualifyingResults['Position'] == '1'].set_index('Track').drop('Position', axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f55e6e4b",
   "metadata": {},
   "source": [
    "Yeah, from this table, we come across **Charles Leclerc**'s and **Max Verstappen**'s name most of the times by setting the fastest lap time in the qualifying sessions, by looking at the **Q3** column (well, there is a reason for why I called it _the fastest lap time_) As you can realize that these times are better than those in **Q1** and **Q2** (only it got worse in **Emilia Romagna GP** perhaps due to wet conditions were encountered at that time).\n",
    "\n",
    "Next, let's observe the drivers and the numbers of their fastest lap times set in qualifying sessions with the visual below:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "a3920725",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 900x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fastestTimeQualifying = season2022QualifyingResults[season2022QualifyingResults['Position'] == '1']['Driver'].value_counts()\n",
    "c = assign_color('drivers', fastestTimeQualifying.index)\n",
    "plt.figure(figsize=(9,5))\n",
    "plt.axis([0,9.3,5.6,-0.6])\n",
    "plt.barh([driver.split()[1] for driver in fastestTimeQualifying.index], fastestTimeQualifying, color=c)\n",
    "for i in range(len(fastestTimeQualifying)):\n",
    "    plt.text(fastestTimeQualifying[i]-0.35, i+0.15, fastestTimeQualifying[i], fontsize=17, fontweight='bold', color='k')\n",
    "plt.title('Formula 1 - 2022 Season\\n# of Fastest Time Set in Qualifying (Drivers)', fontsize=19, fontweight='bold', \n",
    "          color='#bbbbbb')\n",
    "plt.xlabel('FASTEST TIME SET', fontsize=14, fontweight='bold', color='#bbbbbb')\n",
    "plt.ylabel('DRIVERS', fontsize=14, fontweight='bold', color='#bbbbbb')\n",
    "plt.xticks(color='#bbbbbb')\n",
    "plt.yticks(color='#bbbbbb')\n",
    "plt.axvline(0, color='#bbbbbb')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "51f6f342",
   "metadata": {},
   "source": [
    "Here, if we compare this bar chart against the one with title _# of Pole Positions (Drivers),_ we'll understand that the number for Verstappen should've been one more **(8)**, and one less **(2)** for Sainz. But why?\n",
    "\n",
    "If you watched every race weekend qualifying sessions, sometimes **grid penalties** might be given to drivers afterwards, because of exceeding usage of particular engine component changes or incidents such that a driver blocked another driver's fast lap. **In Belgium GP**, such a scenario was happened; Max set the fastest lap time, but later received grid penalties for engine component changes (dropping him back to P14 for Sunday's race grid), thus **he handed over the pole position to Sainz!**"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "925d7330",
   "metadata": {},
   "source": [
    "Anyway, let's expand the qualifying session analysis with something remarkable and exciting: Which drivers moved into **Q2 in every qualifying sessions?** In general, how many times any driver was seen in Q2 in different race weekends? The answer can be found in the bar chart below:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "15e91559",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA5gAAAJJCAYAAADP3ZiDAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjYuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/av/WaAAAACXBIWXMAAA9hAAAPYQGoP6dpAADjyUlEQVR4nOzdd3RU1d7G8W8mPSEkgYQSSoBAIHQivUsHQVQQBREFESuiXL32e/XaXht2RUXsKCiiooCIUkIn9A6BEEIJpJBCenv/iDnMkEmZZEICPJ+1WMycvc8+e3Ymk/md3Rz8/RvlIyIiIiIiIlJBpqqugIiIiIiIiFwZFGCKiIiIiIiIXSjAFBEREREREbtQgCkiIiIiIiJ2oQBTRERERERE7EIBpoiIiIiIiNiFAkwRERERERGxCwWYIiIiIiIiYhcKMEVERERERMQunKq6AiIil7t77plCv369y33+Cy+8yv79B+1Yo6vXmDGjGTNmNACzZ3/GmjXrLun1b775Rm68cZTFsdzcXGJj41i3biOLFi0mLy/vktapUP/+fZg2bXKZ8ubl5ZGRkcHp0zFs3LiFZctWkJubW2x+Nzc3+vTpSZs2ITRp0pgaNTzx8PAgKyub1NRUzp6N5cCBg4SFbeDUqdNWyzCZTHzzzZwyv56srCzOnUtk374D/PrrEs6cOWuR/t//PknLli3KVFZOTg4pKec5ciSSZcv+ZN++A2WuR6Hg4Ob07duL5s2D8POrhZubGyZTyffx9+07wIsvvmbztUREqjMFmCIiIpXI0dGRevXqMmbMaFJT01i27M+qrlKpTCYTHh4eBAU1IyioGaGhHXn55TesBpn9+vXmttvGUaNGjSJpLi7OuLj44OvrQ8uWLRg1agRhYeuZO/drsrOzK1RHFxcX6tatQ926dejevSsvvfQaR48eK1dZTk5O+Pr60LlzJ0JDO/DFF9+yYsXKMp3r4ODA5MkTGTTo2nJdW0TkSqMAU0TEjrZt20lk5DGbzomNjaucysglt3fv/iI9lC1aBNG+fVsAunXrXGUB5rFjUSxc+EuZ8ppMJurVq0u3bp0xmUyEhLRk6NCBLFmy3CLfyJHDmDBhnPH87NlY9u8/SGJiIjk5uTg4OODh4UFgYCNatmyByWSiX7/e1K9fjxdeeNUiYM3Pzy9z/QA8PT3p1q0zvr4+uLu7cffdk3nyyf8a6atWhbFnz74yleXq6kKbNq1p2jQQk8nExIm3EB6+ncTExFLPvemm643gMicnh1279nLixMkyBdD63ReRK5ECTBERO9q+fSd//bWqqqshVWTfvgNFhlfWq1eXWbNeAaB27VpVUS0Ajh07zrFjx206Jzp6JOPG3QRA586hFgFm06ZNuOWWMUDBkNqvvprHn3+uJD8/32pZjRo1YObM6dStW4fg4OaMG3cT3333g5Fua4AJsGTJH7z11v/h6OhIYGAj6tTx5+zZWABWr15rU1kmk4nXXnuBgID6uLi40LFjO1atCivxHGdnJ4YPHwIUtMGsWe+xY8dum64rInKlUYApIlJNtWzZgn79etO8eZDRS2MymcjNzSUtLY2YmDPs2bOfP/9cWWpPS4MGAVx33VDatAnB19cHJyfLj/9Zs94jPHw7APPmzbVL/XNzc0lNTSMq6jhr124gLGy91Xzmc1jLMh/1nXdew9/fD4AJE6aUuT4zZz5I586hJeZJS0vj7Nk4du7czdKlf5KcnFzm8ouTk5NjPL643au7qKho47GXl+UQ2OuvH46joyMAy5f/zfLlf5dYVnT0Sd59dzYvvfQfAAYPvpZff/2d1NS0ctcvLi6etLQ0vLy8/qmjlxFg2iovL4/o6JMEBNT/p6yiQ34vFhAQgIeHOwAxMWftGlzWqePPoEH9CQlpRZ06/nh6emAymcjKyuL8+VSio0+wdesOwsLWkZmZZXGuh4c7c+Z8UGL5ubm5nD9/nqioaNau3cC6dRuLvTlQq5Yvw4YNpm3b1tSp44+bm2uJ80s/+OAT1q3bWOS4j483Awf2p02bEOrXr4enp4fxO5GWlk5SUhKHDx9h9eq1xX4OhIS05NlnHy/xtRXOIY6JOcv27TtZtuzPCr3PRMQ2l9dfOhGRq4CjoyPTpk2mT5+exaZ7eXnh5eVFixbNGTFiCHPmfGn1Cx1A9+5duO++qTg7O1dmta3Ws2ZNL9q1a0O7dm0IDe3AO+98dEnrYCsPDw+aNGlMkyaN6d+/D6+99haRkVFVXa0q4eDgQN++F96DcXHxxmNHR0c6depoPC/rfMXIyGMcOXKUoKBmuLm50bFj+2Lft2URGtrBCC4L6lj+Iae1a9eibdsQs7LiS8hdwPyGQWEAaI9FnEaMGMKtt461ekPCxcWFWrVcqFXLlw4d2jFy5DDefPNdoqNP2nQNR0dHvL29ad/em/bt29KzZzfefPO9IvNsW7UK5tFHZxiBdHl17XoN9957F25ublbTPTzc8fBwp379evTt24sNGzYze/Zn5ZqrWziHuFmzJjRr1oTevXvw/PP/V6YhzyJScQowRUSqmdtvv9UILnNycti5czcnT562+KLl6upK06aBhIS0xNXVlfvum0pqamqRHhRfXx/uuWcKzs7O5OTkEB6+ndOnY4p8Cba2smdpC9IEBjYyegT37TtQpMfBwcEBX18funa95p/5cl0YNOhAmYMRe9uwYbNFj5w1Tk6ODBo0AE9PD7y9a/Lwww/w6KNPkZ2dU+J5Vxp/fz/uumuSMXcUYPv2XcbjJk0a4+JScMMiIyOj2JVhrYmMjCIoqBlQMD+1PAGmo6MjI0cOM1YMLij3GElJ5etx7tLlGu688zY8PT2BgtdUlpWdz5w5Q15eHiaTCW/vmtx11x18/fV3ZGRklKseULBo0sSJtwIFvYx79uzj+PETZGUV9FI6ODjg5VWDNm1CCAioT506/jz22MM89tjTRk9mdnZ2mYYb169fj549uwHQsWN7br75Rr7//kcj3cnJiQcemGYEl5GRUezbd6DU13f8+AmL5y1aBPHgg/cYAXNUVDT79x8kNTXV7FqO1K5dm06dOuDp6UGPHl3Jz8/n/fc/LvY6x44dZ+vW7VbTvLxq0L59W+rVq0vdunWYPHkib731fon1FhH7UIApIlKN1K1bx1gwJCMjg+ef/z+iooqfN9elyzU88sgDmEwmJk2awM6dT1kMc+vevQuurq4ALFq0mEWLFpe5LmlpaSV+Se3bt5cRYO7ff7DYvIsXL+G1117EycmJIUMGVmmAWRI/v9rMmHE/np4exjF/fz969Oh2ybc7qSquri6MHj2SESOG4OLiYhzfu3e/xc/Nx8fbeGzr0MOUlPNm5fjYXMfQ0A5MnHgr9erVNatDKnPmfGlzWQ0bNmDSpPG0bdvaOJaXl8fXX39PYmJSqeefP5/Kli1b6datCwDXXtuHbt2uYcuWbWzbtoPdu/fZFGw6Oztz661jgYKbSy+99DoHDx62mtfBwYEnn/wXbdu2xs+vNv379+WPP1YAkJ2dU2qA2aNHV0aMGGpxbMiQgfz0069GMNuqVbAxb/jUqdM888z/ih1GWxLz3tiff/6NBQt+KjZvzZpePPfcU9SrV5eePbuxYsVKDhw4ZDVvVNTxEl+nk5MTr7/+InXr1uGaazri5eVFSkqKzfUXEdsowBQRqUa6du1szG1auTKsxOASYMuWrRw8eJiWLVtQr15dmjdvxuHDR4z0+vXrGY8jIo5WTqVLERNzltOnY2jUqCENGwbg5uZWoR6eyhAa2oF7773L2GojMTHJCKJCQlpeFQFm7949uPXWsdSq5Wscy8vLY8WKlXz99fcWvd4eHh4WeWxhWU7Zh102aBDA7bffatGrCgWr437wwaecPHmqzGXVqOHJ2LE3MnBgP2MeKUBSUjJz5nzB1q07ylzWnDlf4edX2+iV9fDwoF+/3vTr15ucnBwOHjzMjh272LFjd6l1bNeuNd7eNQHYunV7scElFCyKtGzZCiM4bt++jRFglsTR0ZHbb7+VIUMGGscK3+9ubq4EBTU1em9r1rww/Dg2Nq5cwaW3d01CQloCkJycUmrgm5ycwuLFS7n77jsB6NWre7EBZmlycnLYvXsvdevWwWQy0bRpY3bt2luuskSk7BRgiojY0V13TeKuuybZdI75wjZNmjQyjkdEHCnuFAtHjx4zNpRv2rSJRYBpPu/SfLGZS82818rT06PaBJgODg7ccssYRo4cZgT24eHb+PHHX/i//3seKBhmfCULCmrKpEkTaNEiyOL4kSNH+eqr7yzeT4UcHBzscu2SFoop5OnpwZgxNzBoUH+LOYmpqaksWrSYZctWlDnINZlMDBp0LWPHjrbYtzMnJ4eVK9ewYMEii2GbZZGamspzz73C0KGDuO66oRbvFycnJ9q0CaFNmxBuu+0WTp+OYe3aDaxYsdLid6JQs2ZNjcdHj5Y+99d8m5PatWuXmr+wlz4oqOA6WVnZfPXVPHx9fYzhxub1Ny+/bdvWDBrUn7Cw9UUWFSpJYGBj43Fk5DGre6le7OjRSONxs2ZNynwta8yHTZvP1xWRyqMAU0SkGjH/0lvWoYdpaRfymfc4VFf2Ck4qysfHm+nT7zV6V3Jzc1mwYBGLFy/Bz+/Cl/XqsvJr586dLL6sF4qKOm6sAGwLHx9vbr11LL1797AI9GJj41iw4KcKLb5jDw4ODgwc2J+bb77BIjDIyclhxYqVLFz4q03BYNu2rbn99ltp1KihxfHt23fy7bcLbJpHerHc3FyWLPmDP/5YYSxo1aFDO2O140L169fj5ptvZMSIocybt4CVK9dYpJv//rZq1QIXl9GUxHylWzc31xLzXtxLHxsbx9tvf0hk5DGLuazm7/eIiKMcORJJUFBTHB0dmTJlErffPp7IyKh/0o4SEXG0xP08zeto/llVkrS0dLPz7feZZt5bLSKVp3r81RQRuUJs27aTyMhjNp1j/uWsol+AqkswVN21bt2KBx+8xxgGm5SUxHvvfVxkD8vq5JprOhnbuZhbvXqtTQGmg4MDI0YM4aabRuPufmFFz7S0dH799XeWLl1e6qJG5RkqaUs5zZs3Y+rUO2jcuJHF8S1btvHddwuIiTlb5mv4+vpw550T6dLFcouaY8eOM2/eAvbs2Wd7xYuRm5v7z3DYggWR6tevR/v2bWnfvg0hIa2MINDT04O7774TNzdXli69sJCW+YiDTp060KlThzJfu7gbN9Z66Xfu3M0HH3zC+fMlB+j5+fm8/vo7TJ06yZhv7ezsTHBwc4KDmxv5EhLOsWPHLv76a1WRVZfL85lm/r7QZ5rI5Ue/tSIidrR9+07++mtVVVdDSjB8+GAmTBhnfPE9dCiCd975kHPnEqu2YpeAi4sLM2c+aDGPMTc3l5Ur1/Djjz+TnFy2BVDS0y/0MJVlmKs58/zWeukHDuzPnXfeZhGYHDkSybffzrd5Ll7z5s149NEZFj2DCQnn+OGHRaxZs85ugXJxTp+O4fTpGP74YwXOzs506RLKmDGjjbnR48bdxJo16yptj0ZPT08eeuhe2rVrAxTMf/35599YuPCXMr/25ORkZs16nxYtgujatTMdO7ajfv16Fj/HWrV8GTCgHwMG9GPFipV8/vk3ld62IlJ9KcAUEalGyjI/qSRVOc/ycjBhwjhGjhxmPP/jjxV88838Crf7pfDxx3P5+OO5FSrjnnumWASXO3bs4ttvF9i0QA5gEYwXbu1RVuZDJi/el7Bjx3YWc5jj4xOYP38ha9dusOkaUNBz+e9/P2wMCc3IyOT335fx229LbZpDaC/Z2dmsX7+J3bv38cYbL+HlVQNXV1datgxm27YdRfJ/9tlXFbpZ5e1dk6eeetQYEnz+/Hk+/PDTIlsZldXhw0c4fPgI3347H09PD4KCmhIU1IyWLVvQqlWwserwoEHXcurUaZYtK1hwqDy/W+a9sfpME7n8KMAUEalGzp+/sPBHWVfYdHe/kK+sPVDVifkX0Mqcn9mzZzcjuMzKyuLTT7+o8nmGl1LDhg3o0aMrUNDmn332FatWhZWrrKioaLKysnFxccbNzZUGDQLKHKQ2bdrEeHzxAkJjx95oPN66dTsffPBpuReEGj58iBFcxsSc4dVX3+LMmbIPra0sKSkpHDx4mM6dOwGWAbd5T6arq0uRc21x331TjeAyKiqaWbPeK3GupC1SU9PYtWuvsSKru7s7t946hsGDBwDQrVsXI8A0X8zI3d2jaGFWmH+maVsRkcuPbeNaRESkUh07dmFbkubNg0rIeUHhipCAzfM/qwPzeWDe3t4l5KyYa6/tazz+7LOvrqrgEuCaazoaj9esWV/u4BIKepW2b99hPB80qH+ZzmvWrInxfs3IyDDmKkLBnpiFK4ampqbx/vufVGi1YfPX+/HHc6tFcFnIfEEe85tCMTExxmNrCzqVlZ9fbaOn+vz587zwwv/ZLbi0Jj09ne+//9F4br4wj/lnWtOmgWUaUm2+cuzRo8fsUkcRuXQUYIqIVCObNoUbWy7079+nyIqXF7vmmo7GFiWnT8dU2V6XFWG+JUHv3t0rrRfTfPuFs2djK+Ua1Vnt2rWMx/a4EfHrr0uM3ufBgwcwePCAEn92DRs2YPr0e43ny5f/bdFj5+d3oX4xMTFkZmZWqH7m23ZcvPBMVWrVKphWrYKBgmGzhw5d2Oty69YdZGdnAwU97oVzJ21VuHgVFNzAMV+VtbIU7gMKEBd3IZhNTk42Fs/y9q7JjTeOKrEcL68ajBw53HhenuHRIlK1NERWRKQaOXs2lhUrVjJkyEA8PNx56aX/sGPHLk6ePG0xF8nV1YUmTQJp3boVULB4x1dffXdZLqyxfftOY6P3Tp06MGvWKxw7FkVGhvUAw3xIoS2OHz9BQEB9AB54YBobN24pNojx8CjbUD7Lc9wZPnxIiWW5ublabAlRaOnS5ZUeBJivUNqxY3u8vWvadP6JE6fYtGmL8TwyMorvvvuBiRNvxWQyMXnyRK67bij79x8kMTGRnJxcHBwc8PBwJzCwMS1btjB6rw4cOMQPPywqtn4+Pj5W26k0P//8mxH0urhcKG/06OvKvFdmoXXrNhITc6bUfH369KROHf9S87m5uREQUI8OHdoZ7bBs2QqLIPvcuUR+/vk3br75RhwdHXn88Uc4ePAwkZFRFgsrWRMevo2oqGgATp0q+LxwcnKiXr26PPXUoxw+fKTYNijcqudi7u5ujBgxtMTrmkwmateuRZcu1xjHVq9ea5Fn/vyFPPvs4zg5OTFmzGiuuaYTBw4ctHjtjo6O1K5di9DQDsa83vXrN3Hw4GFE5PKiAFNEpJr5+uvvcXd3p0+fnjg5OdG5cyidOxefPzMzk88++4qdO8u3eEdVy87O4aOP5jBz5oO4urpSt24d6tatY/frLFq0mPbt2+Lh4Y6fX22LxX7swcPDo9SgyM3NzWqe1avXXpJepkKhoR0IDS37FhhQ0LtuHmACLFmynKSkZCZNGo+Xlxd16viXGGzl5eWxalUYX375bYmLv9SuXatcAeZvvy2zWm5pvWbWHD16rMwBZtu2rW0uf926jcyfv7DI8UWLFuPs7MyoUcNxdHQkJKRlsQGgudjYOCPATEtL55dffjfasG3b1uWqo7u7u80/hz/+WMGGDZstjh0+fIQPPviEe+6ZgpubG02aNKZJk5KHAG/cuKXCi1qJSNVQgCkiUs3k5uby0UdzWLlyDX379qJFiyB8fX1xc3PFZDKRm5tLWlo6MTFn2LNnH3/9tYqEhHNVXe0K2b17L08//TzDhw+hTZsQfH19cHUteeN4W0VHn+Dxx59lxIihtGvXmlq1apV5ISUp3rp1GwkP30bv3j1p1641TZoEUqNGDTw83MnKyiY1NZWzZ2PZt+8AYWHryxS0XYkyMjJITEziyJGjrFmznt279xabd8GCn1i7dgP9+vWmVatg6tWrg7u7u017Qi5c+AuHD0cwZMggGjVqgK+vj933lMzLyyMzM4tz585x5Egkq1evLXYv2U2bwjl48DADB/anbdvW1K9fDw+PC6+psH0OHz5SYjkiUv05+Ps3uvzGU4mIiIiIiEi1o0V+RERERERExC4UYIqIiIiIiIhdKMAUERERERERu1CAKSIiIiIiInahAFNERERERETsQgGmiIiIiIiI2IUCTBEREREREbEL++64KyLVXpMmjWnevBleXl6YTBfuMe3bd4D9+w9WYc1ERKSytGzZgsDAxnh6elh89oeHbyMqKroKayYiVxoFmCLl5OzsxCefvIerqyv79x/khRdeNdKmTLmdQYOuBeDRR5/m1KnTVVVNg5dXDR566D7atAkpNo+tAWbt2rXo27cXISEtqV+/Hp6enri5uRrpaWlpnD+fyrFjUezevY+1a9eTmZlVpByTycQ338wp83WzsrI4dy6RffsO8OuvSzhz5qxN9S5OQEB9Jk+eSNOmTTh//jx//bWaxYuX2KVskSvBvHlzAYiNjWPGjH9XcW0KPtf69u1F69ataNiwATVq1MDd3c1IT0/P4Pz585w4cZK9ew+wZs1azp9PrcIa2yYkpCXPPvs4AKtXr+Xjj+dapN9zzxT69esNwAsvvGr1M7xOHX8efvgBmjRpbPUasbFxdg8wq9v7xB68vLy46aZRdOrUgVq1fDl3LtHitfn51ebdd18vtZz09AxSU1M5efIUBw4cJixsHQkJ5+xWT/N67Nt3gBdffM1uZV9Jhg0bzKRJ40lNTSUi4ii//rpEN9ntSAGmSDm1bBmMq2tBMLVr116LtHbt2gAQFxdfLYJLgGnTJpcYXNrCZDIxfvzNDB06ECen4j9GPDw88PDwoE4df7p27cy4cTfy5ZfzWL9+U4Wu7+LiQt26dahbtw7du3flpZde4+jRYxUq093dnSef/Be1a9f6p+7ujB8/ltzcHJYsWV6hskXE/kaNGs6NN15vcVPrYu7ubri7u+Hv70enTh0YO3Y0P/7481X1O11ScCll4+XlxYsvPou/v1+Fyyp8T/r51aZDh3aMGXM9f/+9mm+/nU92do4daiu28PT0pEOHdrRr14b33/+YjRu3VHWVrggKMEXKqTCIBNi9e4/xuE4df+rWrfPP8X2XvF7W1KjhSadOHQA4fjyaN998j9jYuHKXN3Pmg4SGdjSeR0YeIyLiKOfPp5KXl2ccd3JywsfHm5CQltSp44+XlxcPPngPXl5e/PHHCiNffn4+Cxf+Uubre3p60q1bZ3x9fXB3d+Puuyfz5JP/LffrAbj++hFGcLl+/SbatWuDl1cNxoy5gbCwDaSkpFSofJErQeHvaWpqWpXW4847JzJkyADj+YkTpzh06DDJySnk5uYaxx0dHalZ04vg4OY0bNgANzc3Jk68FV9fX779dn5VVN2utm7dTlxcPIDVz/QmTRobweXu3Xv58MNPSUpKrvR6VZf3ib2MGDHECC7PnDnLli3bSux1zMjI4Pff/7CaZjKZ8PKqQbNmTWnWrAlOTk4MGTKQoKCmvPjia1ZH+dgiLS3NaP+K/J2/0kVEHGHRosUEBjYmNLQDJpOJiRNvVYBpJwowRcqpMMBMSTlPZGRUkeMAe/bsLXJeVahbt64x52b79p0V+qMzfPhgI7hMTk7hnXc+LHVYiYODA4MGXcsdd0zAZDJx223j2L//IMePFwzLsjXABFiy5A/eeuv/cHR0JDCwEXXq+HP2bGy5XpOHhztDhgwE4MSJk7z//seMHDmMCRPG4e7uxrBhg/jhh0XlKlvkSmLr72ll6Nw51AguMzMzmT37MzZtCi/1vK5dr+G++6bi6urKddcNZe/efezYsbuyq1upwsO3Ex6+vdj0evXqGo83bQq/JMElVI/3iT21bt3KeDxr1ntER58sMX9GRmaZ2qBx40bcd99UAgMbERTUjLvvnsz7739cobqmpaVfce1fGSIijhIRcRSAl176D02bNqFWLV/q16/H6dMxVVy7y58CTJFyqFnTi8aNGwKwd+9+8vPzjbR27VoDkJeXx549FevB9PBw59pr+9K+fVsaNmyAp6cnLi7OQMEfsOTkZI4ciWT9+o1s3bqjyPnvvPNakSE9o0ePZPTokUXyLlz4S6l/lBwdHRk5crjx/LPPvizTnIX8/Hz+/PNvAgLqMXToIJycnBg1ajgffPBJqecWJy4unrS0NLy8vICCIUzlDTAHDOhnzNtasWIlAKtWhTF27I24uDgzcGB/fv55canDl8aMGc2YMaNLzJOTk2PMS123biPr12+yeP+YK5zHVJK0tHTi4+PZu3c/S5f+WerNA5PJRLduXejWrTNNmwZSs6YXrq6u5OXlkZ6eQVxcPIcPR7By5RqLGyeFbr99PMOHDy7xGhkZGcTFJbB37z6WLv2z1J9L+/ZtGTJkAEFBzfDyqmGxAAnA1KkPkJaWzssvP1fiUL+C15DO6dNn2Lp1O8uX/0V6ekaRfLbMlYqNjWP37r38/vsfJCYmlpi/QYMABg++ltatW1G7dm2LuYAXe+ihx4yeJ3N16vgzaFB/QkJaUaeOv7EgS1ZWFufPpxIdfYKtW3cQFrau2J6OgID6DBs2iFatWuLnVws3t+LrAfD8869w8ODhEvMUKmlunfl8wOKYv/9Xrgxjy5atZbquudGjrzMe//DDojIFlwCbN2/Fz8+PiRNvAeCGG0ZZBJjmv7+zZ3/GmjXrSizvmWf+bQQe5j/PwMBGvPLK8yWem5OTQ0rKeY4ciWTVqjC2bdtRptdwseLmYFr77Jg69Q6mTr2jyPHZsz+jT5+exhSKJUuW880335d6bQcHB95993Vj5Mdrr71ltOelfp80atSAIUMGEhLSklq1fEt9z9s6N7FmTS/j8cmT9pv2cvx4NC+//AZvvvkSNWrUoGfPbixZ8ofVKR89enTj2mv70KRJYzw8LBdqSk1N4+67HwSKn4NZp44/s2a9Ypz39NPPW/2Mt+bxxx+hQ4d2AHzzzXyWLCnaO9uxY3t69epOUFBTfHy8cXNzIy8vj4yMDM6dSyQi4ihhYevZt+9Aidcq698DKBjNNGzYIDp2bEe9evVwd3crkt/cggU/8fPPvxU5fvLkaZo2bQIU/KwVYFacAkyRMrAWqBXq3r0L3bt3KXLcZDLx8cfvGs9t/YPWqlUwM2bcj7d3Tavpbm6uuLn5U6eOPz16dGXv3v28++5HpKScL/M1bNWiRRC+vj4AnDuXyJYt22w6f8WKVQwdOgiAa67phKOjo8VwNluEhnYwgkuAuLjy9cqaTCajThkZGYSFrQfg/PlUNm3aQp8+PalZ04vevXuycuWacl3DXOGw4Y4d29OxY3sGDOjHrFnvlXsomYeHOx4eDWnUqCEDBvTnk0/mFjvH1c+vNo888iBNmwYWSTOZTHh6euDp6UFgYCMGDOjHkiXLmTdvgc11cnNzo2HDABo2DKBfv968/faH7Nq1x2reiRNvZcSIITZfw5qC1+BJ8+bNaN68Gf369ebll9+wGsiVhbu7G40bN6Rx44b07t2Dl19+vdieixtvHMVNN12Po6Njues/YsQQbr11rNV5zS4uLtSq5UKtWr506NCOkSOH8eab7xapT/fuXbjvvqk4OzuXux6V6eL3/4oVK5k79+syn+/nV5ugoKZAQRDy99+2/U6uXLma8ePH4ujoSHBwc3x9fTh3LtGmMuzByckJX18fOnfuROfOnVi5cg2ffvrFJa9HoSVLlhsBZv/+vfnxx5/JyCh6c8Zcx47tjeDyzJmz7Nxp/Xe8PGx5n1x33VDGj7+5xMCioszLNp8GYg8pKSmsXr2O664bCkDv3j0tAkyTycT06ffQrVvR7xm2OHs2lvDwbXTt2hmAgQP7M2fOl6We5+/vZ4zMSk/PKPJ30NPTk4ceutdi9JZ53QvXYmjQoODvwbp1G5k9+zOrf/tt+XsQEFCfp59+zPhOUhHmdanM99HVRAGmSDVUp44/jz76EB4eHgDExJxhz559JCenGL1dJpMJX18fOnZsj4+PN23ahDBz5nT+97//M/IsXfonnp4e+PnVNu4YHzt2nK1biw6pKu2uIkDz5s2Mx8eOle3Op7mTJ0+RkZH5T3DsSuPGjYiMPGZTGQW9qMMsegojI4+Ve+hX9+5dLOZemvd4rVixkj59egIFQ4NtCTCLW/rfyckRf39/OnZsj4eHOyEhLbnvvrt54413ii0rNTWNZcv+tJrm6elJcHBzmjVrgouLM/feexdnz8YaQ38Kubq68O9/P0LDhgEARs9cUlKy8YXJ2dmZgIB6tG/fDhcXZ0aOHEZ8fILFfNmdO3eTllZ6MHzttX2NnoTp0+/l0UefKvIz6tIl1Pgycf78eTZv3mr1y352djYAf/21Ch8f7xKv6+7uxuDBA3B2dqZevbpMn34v//3vS8Xmj42NK7anysPDg5CQljRp0hhv75rce+9Unn66aM/UiBFDuPnmG4GCL5/79h0gKiq6xC/oF7dhv369mTjxVqDgy86ePfs4fvwEWVkFvZQODg54edWgTZsQAgLqU6eOP4899jCPPfa00ZPp7V2TadMmG8Hl/v0HOXz4iNF+xSlvAF6S1avXWi3XZDLh7+9H167X4OLiwqBB17Jz526rIzCsCQq68BkUE3Om1CDoYunpGcTEnKFBg4LfgxYtgti82fZe1JIkJiaVaYhi8+bNjF6ha6/tS2TkMVasWGWXOhRePzCwEZ07hwLFb0UVFXWcqKhoTp06TUBAfTw8POjfvzfLlq0oktfcgAF9jcd//bWq2JEYJano+6Rz51Buu+0W4/nhwxFERERa/Yzy8PAodfRFVTH/vA4JaWmRNmzYICO4TEg4R3j4tiI3krOySv4dL7RkyXIjwOzZsxvffjvf6igPcwMG9DWCrtWr15Kenm6kOTg48PDD9xs3J5KSktmxYxcJCeeMvytOTk7UqeNHx44dcHd3o1ev7iQlJfHNN5ZzoG39e3D//XcbwWVMzBl27NhV6o3aAwcOlZgu9qMAU6QMFi9egru7h/H8xhtH4ubmRlJSEkuWXPji365da9q2LRgiu2LFSmJjL/zhjI8v+5e4MWNGG8FlWNh6Zs/+rNg/3q6uLjz55KMEBzenZcsW9O7dw+iFKwxKQkJaGgFmVNTxcs/P8PHxMR6Xd6n/1NRUY9VHX18fIiPLfm5oaAcmTrzVYl5Rampqme7CFmf48At3S//882+LtMOHj3DsWBRNmgTSsGED2rdvW2xP3MXCw7eXOMTOx8eb5557ijp1/AkN7UCrVsHF/vEzX7ShOKNGjWD8+ILer1tuGcNLL1kOAR048FojuAwP384773xYbO+x+dYIN944iuXL/zLef7t27SmxDWrU8OT++6dRq5avcczT04NBg64t8hr69OllPH7zzfdKHab511+rSkwPDGzEjBn3W/TetWgRREhIy2KHcsfGxpXatv/5zxO0ahVM06aBNG0aaDGszNPTg5tuKrjZkZ2dzSuvvGnzlxhnZ2duvXUsUNAr99JLrxfbFg4ODjz55L9o27Y1fn616d+/r3EDoFOnDsbQwN279/LKK2/aVA97WrNmXYnD59esWcdTTz0KFARXZQ0wfX0v3GAo72eQ+Xm+vr4l5CyfpKTkUt9Tw4YNLrKq96hRI+weYPbt28sIMPfvP1hivZYsWW4MoR0yZCB//PFXsX93Cm9uQkFws2pVWLnqWdH3ybhxNxqPP/nk8xLr4edXu9oGmOfPXwgYa9XysUgr/JzMy8vjuedertANoUOHIjh8+AgtWgTh5uZG7949i/zdM+fo6Ei/fn2M6198o7Nz51DjfRwRcZRXXnmj2IC1fv16vPLK87i4ODN48AB++WWJxeJ5tvw9qFu3Ds2aNQEK2u6pp563+WaTVC71A4uUwYoVq1i8eAmLFy9h3boNxpe4Xbv2GscXL15i3FnLzc3lu+9+sEgr69YcJpPJ+EKQm5vLN998X+Kd4czMLH788Wfjea9e3cv5Kkvn4eFuPC7vMCHz88zLK0mDBgE88cRMHn10hkVweexYFM8990qZ55FcrFWrYGO43eHDEVZ7HM2/8NlrKCcU9HKYz2Pp1q1zhcr77belJCUlAdCmTQg1anhapPfq1c14PH/+whKHJu/ff9Bo05o1vawOqbWmRYsgXn75OTp2LOiVSUxMMtIuvisPUL/+hZ/lxT2uturfvw/PP/+08f4wv7b5Ah3lsX37TuNx4TydQu3btzPex5s3by3XHfJ27VobQ+G3bt1e4her/Px8i56l9u0vDEszH05vr71hK8uePfvIzMwEirZpSdzdK/4ZZP7eL+tnkL24u7vx8MP3M2nSeJycnMjLyzN69v39/fDzq31J62MuLGw9yckFX/jr1atLaGiHYvP279/HGA6+cePmSttbtKT3Sd26dWjYsAFQMPyzvEFudWD+Xvb0tPzsLvycTEpKtstoA/MtegYO7Fdi3muu6WiMGtm2bWeR+fTmf1d++unXEntDT5+OYceOXUDBTbXWrS3/Jtjy98B8TmxycoqCy2pIAaaIjczvOpsv4mMymWjZMhiAo0cjSx12Upx69eoYi4OcOXO2THMqjx690A1oy5c1Wzk4ONi1vNLmOnh6ejBp0gReeeU52rdvaxxPTU3lm2++55lnXuDkyVPlvr55wFhcz8G6dRuM4Vbt27c1htbZg/k8myZNyhbEFSc/P59jx45bLc/R0ZHGjRsBBatulqXNzBcLql279C+9w4YN5tlnHze+IB88eJinnrownNTaPBkXFxfjcXnn4rq4uHDvvXcxbdpko7wVK1Yye/acEq9ti8Iv3YDFvF8o6DUtVJ5h4wDNmjU1Hh89WnoZxf1szp69cLxXrx50796lxH1qq1phu3p51SjzOfaeH3Up51sFBjbipZf+awxRTE1NY9as940v3VDx92pFZGdnG4ucQcHvtDUODg7079/HeP7nnyut5rOX4t4nDRrUNx4fP36iUutwKV38niz8XMvJsc8emZs3hxufIY0bN6JFi6Bi8w4c2N94vHRp0b1jzT+7yjLdxXythIv/rtjy98B8dFhAQH3GjBmNp6dHCWfIpVZ9//KIVFPmAebevfuNx0FBTY274Xv27C9yXlnVqHHhj2hZF34pXFENCoIyBweHcs2HqS4cHBwYOLA/N998g8UX+pycHFasWMnChb+SmlqxO+Z169YxtltJSTnPxo2brebLzMwiLGy9sRDQ8OGDKzQk15z5z82WL9m2lufp6Wn0NuTnU+pKt2B5N7m0jezvuWeK8aUZCub+zpu3wOJLQmUEOvXr12PGjPuNFZ0zMzOZO/drwsLWW/SYVmThHcDid8nJybIs857ijIzMcpVvfje+VasWuLiU/PMx/9ma/2y2bdtObGwc/v5+uLu78dBD95GRkcmRI0c5ciTSWJa/tNVwL7XqHATbS//+fbjzztuML9FRUdG8/fYHnDlzli5dQo18Vd0Wy5f/zciRw3FxcaZNmxAaNWpIdLRl8NauXRtj0bvIyGMcOVKx0QdldXHbFE4jAcjOrtjekVeTglEQf3L77eMBGDToWg4fPlIkX506/sb3nWPHoqwOZTb/7Bo6dFCpgaH5HOqS/q6UJjExkc2bw42/O2PGjOaGG0Zy/Hi08Tl35MhRTp3SarBV5cr/VBexs8LhdqdOxVhstNy6tfXA01YV/TJsMplwcnIsdUuN8rB30GqtvObNmzF16h1Gj1uhLVu28d13C4iJsc/Qv+HDB1ssXFBSe/3550ojwOzduwfz5/9kMXek/C68fvus+mm9vMKtbaDgj3pZAkxzxfVcN2rUkEceecAYlpqRkcEnn3x+STaq7tatC9OmTTZ6+2NizvD22x8ae6teKhX9fQXLn1WnTh3o1Kn4oYkXM//ZZGZm8corb3D33ZONANvNzZU2bUIsboydOXOWrVt3sGLFSmJizlS4/peSvVfwtHd5F3N2dmbKlNsttuUIC1vPnDlflrr4UlVITk5m3bqNXHttQQ/l8OGD+eSTzy3ymC/uU9m9lyWx94ia6qKy35MAK1eGGWs9dOvWma+++q7ITduBA/sbfyOXLrW+yJx5r+MNNxTd/qwkFf35ffTRZ6SmptOvXy9MJhOOjo40bdqEpk2bMHhwwT65KSkp7Nq1h5Urw8q0kKHYjwJMkRKUtF9XQEC9YvcpfOYZy32/JkyYYve6VQXzYb/lHVpmft7FK/0NHNifO++8zeJL+5EjkXz77Xy7rv7m6elB374XFhQYOXIYI0cOK9O5BSsa9mfRosV2q8/lqHv3LkybNsW4C33y5CnefvvDCg1ZLgsHBwfGjx9rsR9rePh2Zs+eY9GDe7WKiTnLCy+8Srt2bejSJZT27dtSp46/RZ66deswYsQQhgwZwKJFiy+r97I9PoPMP1/MV8S0t9q1azFz5nRjDnN2djZff/2d3RbyqSxLlvxhBJg9e3bnu+9+NG6o1axZ0xj5kZqaWua1BSqD+cqpDg6X94yvi/e0rGwZGRmsXBnGddcNxcXFhb59e1oEkY6OjsbfyMTEpCr9ORcnMzOTTz/9nGXLltO9e1c6dWpPo0YNLX6/vby86NWrB7169WDLlm188MEnxsrcUrkUYIpUM+Wdi1YoLy+PnJyKlVGcc+cu9NiWd0in+ZBC8x7gjh3bcdddk4zn8fEJzJ+/kLVrN5TrOiUZMKB/qRtxl2Tw4AEsXrzUDnNiLtzBtU9vRunlJSYmcf/9j1ToKkOHDuL22281vhRt2rSFjz/+vNIXWjCZTDzwwN306FGwsEReXh4//LCIX375vVKvW5KK/r5e7LPPvip1tdyy2L17L7t37wUKhrE1b96MoKBmtGoVTIsWQTg5OeHk5MTNN9/I8ePRZV7FtaqZb1tgPp3AFuafQfHx50rIWX4BAfV48slHjS2QYmPjePfdjzhyxIZls6vIyZOn2LlzNx06FGxXZH5DrV+/3sZQ1dWr11bpl3Xzod7mQzUvR+b1N/87W5n++GMFw4YNwtHRkYED+1sEmF27XmMsGvbnn3+X6XPujjumVcrIqdJER58kOnoRP/ywCFdXV5o1a0Lz5s1o0aI5rVu3MqYudekSyrhxN/HNN99f8jpejRRgipRg69btFqu29erV3RgOuGjRYmMoS0BAPeNL744duys0J8V8ufKyrnBovrJiampapc2/NF/ZrUmTQJvnejZoEICra0GPV2ZmpsXCDGPHXlhufuvW7XzwwaeVErA4OjoyZMgA4/kvv/xe5kCxW7fONGzYAB8fb3r27FbiNiRlYb4oQVkWcypveeZ3xM2Hy5ZHy5YtjOAyLy+P7777gd9//6P0E+1g1Kjhxu9ZSsp53ntvtsVCW1XBfPXM8s4pMv/5uLq6lJCzfJKTU9i2bSfbthWshluzZk2mTLmdrl2vAQp6oy+XANP8s7V+/bq4u7vZtKCau7u7xUrU5uWZ35iryPA9R0dHZsy43wgu9+7dz7vvfmSX3/FLZcmS5cYenYMGXcuvvy4hNzfX6NnMy8uzWBCoKhw9eoysrCxcXFxo3rwZXl5edpq6cOmZL7RzqfZqjIuLZ/PmcHr06EZAQH1at25lDCMdMKBgddmsrKwSe9xTU1ONVW9dXFyrJMA0l5mZyf79B435os7OTowcOdzYp7h79y4KMC8RBZgiJQgP3054+Hbj+aBB1wIQHX2CH35YZBwv/PAC+OWX30rdz68kp0+fIT09A3d3N+rWrUONGp6lLgFfuNUGlG0lt/I6fPgICQnnqFXLFx8fbzp3DmXLlrJvUj548LXG482btxp3RX18fIw9rVJT03j//U+MpentrXv3LhZf/ObPX1jmc2NizvDAA9OAgv0zKxpgmq/4W96tVgo5ODgYK5rm5eVZrGianp5OUlIS3t7eeHh4UKeOf5Hl5suqf/8+Rs/lwoW/XLLgEgr2wSv01lvvV4tNs6OizFfubVyuMmJiLixEERhYvjJskZxcsE9jYYB58cq41VlcXDxHjkQSFNQUR0dHrr22n8V2P6UZMKCvMYTuwIFDFqMozG/umW/5YqsWLYJo1Khg4alTp07zf/83y+493ZVt9+69HD8eTePGjfD19aFHj66cO5doBOd79uyz23z48srOziYsbD0DB/bHxcWFf//7YebPX8iRI5GVOvTZ3nx8fCymbKxbt/GSXXvJkuXGTbuBA/uzb98B6tevZ8zZXrduU4lB++nTZ2jevGDhnsDARtVunmN2dg6LFi1m+PDB1KhRwy6L6UnZXN6D1kUuoUaNGhpfOi5exKfwwzgjI6PC+/nl5+ezeXM4ULBq3m233VLi3XQXFxeLRVsqY0hpodzcXH77banx/K67JtGqVXCp5zk4ODBo0LVGgJ6Tk8Ovvy4x0v38ahmPY2JiKi24BMutSUraYNqajRu3GHvWBQY2KrJRui18fLwt6rJpU8UWxhk5cjje3gX7le3bd6DITYlNmy7cCJgy5fZyLypUuCcaUO4gtbx8fHyq7NrF2bVrjzH3s0uXziUu+V+crVt3GEOae/bsRrt2bUo5o+LMb0qZb3tyOfj55wtzRm+++QYjUC5Nly7XMHbsDcbzn3761SLdfNug7t274uxcvnvw5luNJCScu+yCy0LmN49uu20cU6feYTyv6t7LQt9//6OxUFVQUFOeeupRPvvsA+bNm1vk37vvvl7FtS0qKKgpTz/9qLEi7ubNW62u6FpZjhyJNG6Id+kSSs2aXkbvJcCyZUW3JjFX+F0F4Pbbx1fLrULq1atrtK/59iZSudSDKVJGbdua7395IcB0c3Mzet8OHDhkly8TixYtpkuXUDw8POjXrzfBwc3ZvXufxZ1Ek8mEj48PHTu2M77QHDhwqNLvfi5btoLWrVvRuXPBH6P//OcJjh49RkTEUVJTUy1WwHNycsTb25vWrVtZLDQyb94Ci8VgzIMdHx8fm1c5Bfj5599KbfuQkJZGr+G5c4kWvdNlkZuby+rVa7n++hFAQS9mcSsGd+7cyVjK35yjoyN16vjTsWN7Ywj0tm07Suz19vDwKLZNPD09CA5uYbwHc3JyWLDgpyL5fvqpoMfKx8eb9u3b8u67r7Fr117i4xNKbLfU1DSWLbswN+f48RPG0LlJkyYQFNSswlvGlFV0dLSxzP2TT/7LIjC72KXasD41NY2FC3/m9tvH4+LizH/+8wT79h0gKiq6xBslS5cuNwLTc+cS+fnn37j55htxdHTk8ccf4eDBw0RGRpXaExMevo2oqIKVc2vXrmWxP6E1jo6O1K1bx2JrjIr2xF9qW7fuYNmygvljrq6uPPzwA5w4cYpDhw6TlJRs8RlkMpmoWdOLli1b0LBhA+P4kiV/FBleHRl5jKioaAIDG9GkSWPefvs1IiKOFlmMrFBAQH2rx82H/rdt25qHH76f6OiTxb6eS9FrXR5r125g6NBBNGvWBG9vb/65f0VcXHy1GVKdmprGf//7EnfeOZFu3Tpf0n1NS1LSat2Ojo7UrOlFUFAzi310jx+P5uOPP7tUVTT8/vsyWrZsgZOTE/fff7fRI7l7994S37dQMI+zb9/eNGwYQGBgI95++zV27drN2bOxpa4FsXDhLxWq9403jirx5+3g4GCMtDJfMV4uDQWYImXUpk1roCDIMN8PKiSkpbHoQUX2vzR39mwsb7zxLjNm3I+3d03q169H/fr1SjyncJ7Ppdj/8q23PuCWW8YwfPhgnJ2dadasiRHglCQ1NY1vvvm+xA/52rVrlSvA/O23ZaUGmOY9hn//vbpcy8GvWLGSkSOHYTKZ6NixHfXq1bW61UPnzqF07hxqpQRL+/cf5KOP5pSYx9Oz+ADTXFZWNp98MtdqL3pycgovvfQ6Dz98Pw0aBODt7U2fPj1LLTM2Ns4iwFy69E969epOrVq+eHnVYNiwQaWWYS8LFiziscdm4OTkRIMGATRoEHDJrl2SpUv/xN3dnZtuuh5HR0fatWtTai/k6tVrLVa9XbRoMc7OzowaNRxHR0dCQlpa7OVZnNjYOCPA9POrbdPvTl5eHt9//+Ml7TGxl6++mkdcXBxjxtyAu7sbDRsG0LBh6e+HrKxsfvrpF4sRFOY++mgOTz/9KF5eXvj6+lgE4mV18uQpVq9ea6xA3rVrZ4t9Yi8X+fn5/N//vcnIkcPp0aOrccPsr79WV6t9lgvnY3/9tQ8hIcHUquWLq6trkZE/Hh4eDB8+GKj8rUDc3NzK/LuYl5fHmjXr+PLLeZU6eqc44eHbOXw4ghYtmtO+fVug4EZlWaaPZGfn8PLLb/DIIw/QokUQnp4expDb0lQ0wCz8vC2rzZu32jScXipGAaZIGZhMJmMo6MW9CubDJCuy/+XFDhw4xKOPPsW11/alffu2NGzYAE9PD6O3LzMzk+TkFI4ciWT9+k1s3br9kv3Rz8/P5/vvf/zn7mUv2rQJoX79etSo4Wks4lMoMTGJo0cj2bVrD+vWbbpkvV0Xq1evjrG/YG5uLitXrilXOXFx8ezcuZtOnTpgMpkYMWIIc+d+Xebzc3JySE1NJTLyOOvXb2Tduo0V+rmlp2cQHx/Pnj37WLZsRYlDR0+ePMUTT/yXHj260rlzKIGBjfD29rZpcZrExESefPI5hg4dSGhoR/z9axuLPFS23bv38uSTzzFixFBatmxBrVq+Fdqs255++ulXNm0KZ/DgAbRu3Qo/v1o2r1S8YMFPrF27gX79etOqVTD16tXB3d29yAbz5ZWXl0dGRgZxcfEcOhTBypVrKjz3tyotWbKc1avX0bdvT9q0aU2jRg3w8qpRpN1TU1M5ciSSvXsPEBa23mL10YsdPx79z3tsCO3bt8XPr3a5Vpz+5JPP2bFjNwMH9qN+/Xr4+HjbZc/US+38+VTmz19Ijx5dgYJ5j+X97KxsiYmJbNiwudj0Jk0aGwGmrQsuXdwrXpEANT09g9TUVE6ePMWhQxGEha23WEywKrz11odMmzaZVq1akJiYxPz5Cy2GjJckMTGR5557mWuu6Ui3bl1o2jQQX19fXF1dqrRHOSMjk6SkJI4di2Lduk2Eh28rNq/57+al2If0auDg79+o+tyGEpHLnslk4umnHzN6Xw4ePMwLL7x6VXxojxkz2rhrPXv2ZxUeeli4z2psbBwzZvy7lNwiUuiBB6bRq1d3AE6fjuGZZ/5n02qzcsGgQf2ZMqVgC6mwsPWljriorm65ZQyjR18HwDffzLepN+v555825lc//vizpQ4dlcvLSy/9x5g+M3Pmk1ZHJYlt1IMpInaVl5fHe+99zCuv/Bdvb29atmzB+PE38+2386u6aiJylZgz50uaNGlMgwYB1K9fj2nTpvDOOx9WdbWqtaCgphaLPzk7OxMY2NjovczKyjb2w6wu6tTxL3Wov7u7G4GBjY3RRmlp6axdu96m6+zbt98IMGfOnM6WLVtJSEi0mD4gl5fmzZvRsWN7mjQJNILL+PgEBZd2ogBTROwuMTGR99//hCef/Bcmk4nrrhvKwYOHSxyiIiJiL5mZmbz99oe88MKzuLm50q1bZ4YPH2yxmbxY6tixfbHzBvPy8vj886+r3ZfvOnX8bZp3nJqaxrvvfkRysm37ZS5Z8ic9e3bH39+PunXrMHLk8CLz0+Xy0rx5EDfddL3xPC8vj2++0Y1we1GAKSKVYu/e/Sxc+IuxR+g990whOvoEZ85U7d5pInJ1OHnyFHPnfsX9998NwPjxNxMRcfSyXNSoKmRmZpKYmMShQxEsX/43R45UbAuuqpCdnU1aWhonT55m9+59rFy52ubgEiAlJYVnn32Bm266nk6dOlhsRSOXt9TUNI4cOcqvvy6pdvt4Xs40B1NERERERETsonpsGCQiIiIiIiKXPQWYIiIiIiIiYhcKMEVERERERMQuFGCKhXnz5tKqVYuqrka14uLiTPv2wbi4OFd1VaoVtUtRahPr1C7WqV2sU7tYp3axTu1SlNrEOrWLdZXRLgowpQiTSW8Lc46OJhwcHHB0VLuYU7sUpTaxTu1indrFOrWLdWoX69QuRalNrFO7WFcZ7aIWFhEREREREbtQgCkiIiIiIiJ2oX0wxcK8eXOpMX06Tge02ayIiIiIyJXuyUGDOHToGOnpmXYpTz2YIiIiIiIiYhdOVV0BERERERERsa4XkFVMWk2gJTDjn/9tyVtZFGCKiIiIiIhUU+OAnGLSTgOrgYeBRTbmdbNnJc0owCzFO++8Rnj4dr7++rtKKf+ZZ/5NWloas2a9Xynli4iIiIjI5WtGKem3AYeASBvzhlS8alZpDqaIiIiIiMhlaCcQRUFQ52fHvBWhHswKGj58MAMH9qdOHX9ycnI5ffo0Cxf+yrZtOwBwd3dn/PixXHNNJ3x9fYzzZs/+jDVr1hUpr169ukyceAstWgTh6elJYmISO3bsYt68BaSlpQMwePAArr9+BLVr1wJg1qz3CA/fTocO7Rg37kYaNGiAi4szALGxccyY8e/KbQQREREREblkYoDZwBIgH5gG+Nshrz0owKyAfv16M2bMDXz77XzOnDmLyWSiY8d2zJhxH//+97OcOXOWu+6aRFBQU779dj7nziUa5546dbpIeY6Ojvz73w8THX2SDz+cQ1ZWFjVrenHrrWOZOPFWPvnkcxo2bMAdd0zghx8WcehQBAAnTpykYcMG/Otf0/nzz5V8//1CcnIKRl9nZ2dfkrYQEREREZHKdR74HJgPZAJNKZhT2bOCee1JAWYF9OrVna1bt7N27Xrj2JEjRxkxYigtW7YgNjaOrl2v4YsvvmX9+k2llte8eTPq1avL66+/Q1xcnHG8WbOmdO/eBYDAwEaYTCZWrFhJamqakWfw4AEkJ6dU2lxRERERERGpGjnAQmAOkAjUA+4GrgMcK5C3kKuri9Xj5dkbUwFmBfj51aZt29b06VP0PoCHhwc+Pt44OTmRnJxc5vIA3nzz5SJphcGko2PB2yI/P98ivXbt2iQnp9hUfxERERERqd4SgEeAfYDvP4/HAtZCQlvymgsMDLB6fOfOgzbXVwFmBZhMJjZs2MTSpX8WSYuNjTOCQVvKA3j55TfIyMiwSMvNzSt/RUVERERE5LL0XwoCxtEUBIyedsprLirqFJmZxe2gaRsFmBWQllbQqxgRcdRquslkIicnBy8vL5vKS0hI4NSpGJvqEh8fT4cObW06R0REREREqq/zwEagIfCMHfNeLDMzq1zDYa1RgFkGdev607lzpyLHN23aypgx1zNy5DAiI6PIy7vQyxgZGUVGRgZbtmxl1KjhZGRkkJiYZKSfOnWapCTLobN79x4gLi6eu+66g6VLl1vMsTx//jzR0SeLreOWLVu54YaRTJx4Czt37rFY5Ke4AFhERERERKqvwglwacCbpeSdYEPeqYB3BepVEgWYZRAa2pHQ0I5Fjs+c+QS5uTkMGNCP2rVr4ezsbKQ9/fT/iIw8xty5XzN+/M3cfvt4fHwu/BitbVOSkZHBq6++xYQJN3P33ZPx8qphpG3btpM33nin2DpGR5/krbc+YOzYGxg0aIC2KRERERERucwVrrqSAHxfSt7xNuatrADTwd+/UX7p2eRqMW/eXGpMn47TgQNVXRUREREREalkTw4axKFDx+w2RNZkl1JERERERETkqqcAU0REREREROxCAaaIiIiIiIjYhRb5kSKeqNuQffGpVV2NasPd3ZXg4CZ2HZt+JVC7FKU2sU7tYp3axTq1i3VqF+vULkWpTaxTu1jn7u5KsJ3LVA+miIiIiIiI2IUCTBEREREREbELBZgiIiIiIiJiF5qDKUWcmfUEsc4OVV2NauV4VVegmlK7FKU2sU7tYp3axTq1i3VqF+vULkWpTaxTu1gXPPMVu5anHkwRERERERGxC/VgioiIiIiIVFedh0FWtvW0ml4Q0gJmTiv435a8lUQBpoiIiIiISHU1/kbIybGedioGVq6HB5+G37+2La+ba6VUVwFmKd555zX8/f0sjmVlZXH2bCy//baMNWvWVVHNLPXt24t7772LqVMfIC0tnXvumUJgYGOeeuq5qq6aiIiIiIiU17/uKTl93D1wIAKORtmWt7W9d8AsoACzDDZtCmf58r+M5yaTibZtWzNt2mSioqKJitKUYRERERERucS274Fj0WAygV8t++WtAAWYZZCQcI79+w9aHIuKOs7o0dfRsGEAr7zyHF999R3Llv1ppA8bNphJk8YzYcIUAMaPv5nevXvg7V0Tk+nC2kqTJ99HXl4ukyffTmhoR2rW9DLSUlJSuOeeGQA0a9aE8eNvpmnTQFxdXUlIOMemTVuYP/8ncnNzK/Pli4iIiIhIdRJzFt6bC7+tgPx8uP8OqONX8bx2oADTBo6OjphMDphMJtq1awNAfHxCqed169aFUaOG8+mnXxATc8YiLSsri+uuG0rPnt356KNPSU5OMdIKA8caNTx54omZbN68lcWLl5CdnUPt2rW4/fbxpKdnsGjRYju+ShERERERqZZSzsNn38G3P0FmFjRrDI/eB727ViyvHSnALKPevXtw7713Gb2Pubm5hIWt5+DBw6We6+vrQ15eHocORXDy5Ckr6b5kZ2dx8OBhEhOTiqR37NgeNzc3vv76e/LyCoLOiIgjdOrUgTZtQhRgioiIiIhcyXJyYcGv8PHXcC4J6teB++6AUYPB0bH8ef/h6upi9Xh6eqbNVVWAWUanTp0mLy+PU6di+OCDj4mLiyc1Na1M527cuJlhwwbx6qv/49SpGI4cOcquXXvYvHkrubm5rFy5hl69uvPee28QHX2CiIij7Nixi+3bd5Gfn0/t2rVxcnLi888/KlL2sWOa/ykiIiIicsWKPwfTn4Y9B8HXBx67H24ZBS5WgkJb8poJDAywenznzoNWj5dEAWYZHT16jC+++JapU+8gNLSjTb2GiYlJPPbYM4SGdqRNm1YEBzenX7/eHD9+gv/+90VOnDjJI488QZcuoYSEtKRNmxAGDbqWPXv28corb+LoaCI9PYNXXnmjSNmZmbbfVRARERERkcvE0/9XEDDeNAIeuw88PeyT10xU1CkyM7PsUl0FmDb4++/VNGrUgDFjRv/TC7kXgPT0DJycrHc3F8rOzmbTpi1s2rQFgE6dOvDYYzMICmrGvn0HSE9PZ82adca2J0OGDODOOyfi7+9HWloarq4uREefsNsPXkREREREqrnzqbA+HBoFwHP/sl/ei2RmZpVrOKw1CjBt9PXX3xMQUJ8HHpjG00//j7i4eI4cOUrv3j2Ji4sn55+NTRs1amic4+1dk4CA+sZzBwcH2rRpRW5uLnFx8fj51bbYa9PR0ZEWLYLIyMggMTGJLVu2MXbsjdx//zRWrlxj0Wt57tw5YmLOXoJXLiIiIiIil1Ty+YL/U9Pg1Q9Kznv72LLnvfd28K5Z8fpZoQDTRnl5ebz77kc8//wzzJhxP88//wpz537N1Kl3MG3aFNzcXIuc06FDO+699y7jeVZWNmfPxjJ79mecPRvLmDGjGTNmtJGekZHJ6dMxvP32h2RlZREfn8Brr73FuHE38cAD0/A06+pevvwvvvji28p90SIiIiIicunl5xf8n5BYsBpsSSaOsS1vJQWYDv7+jfIrpWS5LM2bN5fptRw44OxQ1VUREREREZFKNmjmKxw6dMxuQ2RNdilFRERERERErnoKMEVERERERMQuNAdTiqg78/+I32f7njdXKnd3V4KDm9h16MCVQO1SlNrEOrWLdWoX69Qu1qldrFO7FKU2sU7tYp27uysEN7FrmerBFBEREREREbtQgCkiIiIiIiJ2oQBTRERERERE7EIBpoiIiIiIiNiF9sEUC/PmzaXG9Ok4HThQ1VUREREREZFK9uSgQdoHU0RERERERKofbVMiIiIiIiJSTfUCsopJqwm0BGb8878teSuLAkwREREREZFqahyQU0zaaWA18DCwyMa8bvaspBkFmJWgT5+ejBw5jLp16+Di4mKRNnXqA6SlpZd4fkhIS5599nGefPK/REVFV2ZVRURERESkGptRSvptwCEg0sa8IRWvmlUKMO2sRYsg7rlnCosXL2Hv3gPk5uZapGdklD55NirqOC+88CoxMWcrq5oiIiIiInKZ2wlEUbCwjp8d81aEAkw7Cw5uTl5eHgsWLCI/v+gCve3bt+WJJ2Yaz/Py8oiLi2fJkj9YvvxvAAIDG1v0YN5zzxT69ettcU5sbByLFi1mzZp1ALzzzmv4+1u+VeLjE/j008/ZtWtvZbxUERERERGpAjHAbGAJkA9MA/ztkNceFGDa2cmTp3BycmL69Hv5/fc/OHLkqEX6kSORvPDCq8ZzHx9v7rjjNu68cyJRUdEcPHjYarkxMWf49NMvAHBwcKBDh3ZMnXoH+/YdIC4unvfem42zs7OR39nZiUceeZCOHdsrwBQRERERuQKcBz4H5gOZQFMK5lT2rGBeV1cXK0cp19YlCjDtbMeO3Sxc+AujRg2ne/cunDuXyPbtO1mzZh2HDkWQmprK/v0HAWjatAkTJowjNjYOgLZtWxcbYGZkZBrnAURHn2TUqOE0bRpIXFw8EREXAlkfH29mzLiftLR0/vjjr0p8tSIiIiIiUtlygIXAHCARqAfcDVwHOFYgb6HAwACrx3fuPGj1eEkUYFaChQt/YdmyP+ncOZTQ0I706NGNAQP6sWpVGJ988jkAPXt2Y9q0yWzduoPZsz/jjTdewsPDo8zXyM0tWB/K3d3d4nhwcHNmzLifhIRzPPvsCyQknLPfCxMRERERkUsqAXgE2Af4/vN4LGCtz9GWvOaiok6RmVncBie2UYBZSVJT01i9ei2rV6/F2dmZG24YyY03jmL16rW0bt2KMWNGs3DhLyxatNhu1xw0qD+TJk1gw4bNzJnzBdnZxS1SLCIiIiIil4P/UhAwjqYgYPS0U15zmZlZ5RoOa43JLqVIibKzs1mxYiUALVu24Oabb+Szz76ya3A5ceKt3HHHbXz//Y989NEcBZciIiIiIpe588BGoCHwDCUHjLbkrUzqwbQzDw93AgMbWxxzcnKiT5+eZGRkGENWXV1dCAlpaeQxX6DHVu7u7gwbNoh16zYSGRllUW56ejrHjh0vd9kiIiIiIlI1Uv75Pw14s5S8E2zIOxXwrkC9SqIA084Ktxgxl5GRycmTp5g163327z9Iu3ZtuPnmm3B3d7PLNTMyMtixYzc9enSlTx/LdaEOHz7Cf//7kl2uIyIiIiIil07hpocJwPel5B1vY97KCjAd/P0bFd2sUa5a8+bNpcb06TgdOFDVVRERERERkUr25KBBHDp0THMwRUREREREpHpRgCkiIiIiIiJ2oTmYUsQTdRuyLz61qqtRbbi7uxIc3MSuQweuBGqXotQm1qldrFO7WKd2sU7tYp3apSi1iXVqF+vc3V0JtnOZ6sEUERERERERu1CAKSIiIiIiInahAFNERERERETsQnMwpYiEM1+QFFujqqtRbSQBMceruhbVj9qlKLWJdWoX69Qu1qldrFO7WKd2KUptYp3axbokIDh4rF3LVA+miIiIiIiI2IUCTBEREREREbELDZEVERERERGpprKoCxS3tYoPDnTAkf9hooNNeSuLAkw7eeed1/D397M4lpqaxtGjkXz//UIiI49VTcVEREREROSyZWIakG01LZ/j5LOEHG7Bme025XXAvVLqqwDTjjZtCmf58r+M566uLgwaNIAnnniEmTOfJDU1rQprJyIiIiIilxsnXigxPZs+5LObfA7alNeBjnas5QUKMO0oIeEc+/cftDgWGxvP66+/SFBQU86ejWPixFto0SIIT09PEhOT2LFjF/PmLSAtLR2AwYMHcP31I6hduxYAs2a9R3j4dtq3b8PNN99IgwYNcHJyJC4unpUrw1i8eAlgvQc1Pj6BTz/9nF279l6CVy8iIiIiIpdSHhvJJwIw4UBdu+WtCAWYlSw3NwcAZ2dn/v3vh4mOPsmHH84hKyuLmjW9uPXWsUyceCuffPI5DRs24I47JvDDD4s4dCgCgBMnTlK/fj0efXQGixcvZf78n8jLy6N+/XpMmjSexMREwsLW8957s3F2djau6+zsxCOPPEjHju0VYIqIiIiIXEHyOUEuL5LHfCAfR57EgfoVzmsPCjDtyGRywNn5QpO6uLjSv39fcnNzSU1No169urz++jvExcUZeZo1a0r37l0ACAxshMlkYsWKlRbDaQcNupZz5xL5+efFxrHDhyPo27cXrVu3IixsPRERR400Hx9vZsy4n7S0dP7448KQXRERERERuXzlk0Qub5HHbCADaIkTL2FiUIXyurq6WL1eenpxCwYVTwGmHQ0dOoihQy1/YOfPn+fTT78whry++ebLRc4rDCYdHR0ByM/Pt0ivXbsW/v5+fPnlJ0XOTUpKsngeHNycGTPuJyHhHM8++wIJCefK/4JERERERKTK5ZNDHp+Ry2tAPNAQR57AxHgccCx33kKBgQFWj+/cedDq8ZIowLSjDRs2sXTpnwDk50N6ejpnz8aSk5NDnz49AXj55TfIyMiwOC83N6/Ech0dHTl9OoaPPppTJO38+VTj8aBB/Zk0aQIbNmxmzpwvyM7OqehLEhERERGRKpRPLDncQj7bAD8ceRkTd+GAa4XymouKOkVmZpZd6qsA044SE5MthqqaS0sr6KVMSEjg1KkYm8pNTU3Dzc2t2LIBJk68laFDB/Lddz+wZMlym8oXEREREZHqKYd7yGcbJibhyEs44GWXvOYyM7PKNRzWGgWYl8jevQeIi4vnrrvuYOnS5RZzLM+fP0909Mliz12/fiNDhgxg6tQ72Lx5K9nZF/a2OXPmLOnpGQwbNoh16zYSGRlFSEhLIz09PZ1jx45XzosSEREREZFKk08y+fwNNMWJd+2WtzIpwLxEMjIyePXVt5gw4WbuvnsyXl41jLRt23byxhvvFHvu0aPHePvtD7jxxuvp0aMb7u5uRtq3385nyZLl7Nixmx49uhpDcQsdPnyE//73Jfu/IBERERERqWSJ//x/nhyeKDGnI/fbkPdxHPCtcO2scfD3b5Rfeja5WsybN5eZ00M4eKBG6ZlFRERERKTS5BNFNh3KlNeZnTbldSAQgL6DxnLo0DENkRUREREREbmSORCIi9GLWTpb8lYWU1VXQERERERERK4MCjBFRERERETELjREVoqoVfdOvONt31T1SuXu7kpwcBO7jk2/EqhdilKbWKd2sU7tYp3axTq1i3Vql6LUJtapXaxzd3cFmti1TPVgioiIiIiIiF0owBQRERERERG7UIApIiIiIiIidqF9MMXCvHlz6bJ/Ot6pB6q6KiIiIiIiUskG/zXIrnNT1YMpIiIiIiIidqFVZEVERERERKopt2chM8d6mq87hAbA6yOgU4BteSuLAkwREREREZFqanoPyM61nnYsEX7ZB9d9AUcesy2vu3Pl1FcBZjl169aZu+6aRELCOV5//R3i4xMs0ocNG8ykSeOZMGFKpVx/zJjRDBs2mLvvfrBSyhcRERERkar3+oiS0zu9CztOw76ztuW9poH96mhOczDL6frrRxAREUlmZib333/3Jb/+6tVreeONdy75dUVEREREpHpYdwwOxoHJAep72S9vRagHs5xq1KjBgQOHWbUqjJdf/i99+vQkLGy91byenh5MmDCO9u3b4uvrQ2ZmFsePR/P99z9y8OBhABwdHZk8eSLdunXG09MTgKlTHyAzM8vq8X79elv0YI4YMZShQwdSu3YtTKYL9w3+/e9nOXHiZGU2hYiIiIiIXELRifDMcvh6B+Tnw/ODIKBmxfPagwLMCoqOPsFff61iwoSb2bp1O2lp6UXyTJkyiebNmzFv3g8kJibi7OxE166defzxR3j00adJSDjHgAH96NmzO7NnzyEl5TwAGRmZDBzY3+pxc0FBTZk48RZ++GERBw4cskiLjY2tpFcuIiIiIiKXUlIGvLIK3lkHGTkQUgdmjYBhLSuW154UYNrBDz8sonv3rowbdxNffPGtRZrJZKJLl1C++moeGzZsMo7v2bOfnj270blzKMuX/0VgYCPOnDnL5s1bLc4v7rg5X18fAI4ePcb+/Qft98JERERERKTK5eTCR5vgf39DXCo09oHnBsKkUHA0lT9vIVdXF6vHy7M3pgJMO0hNTeP773/krrsmsXJlGFFRx400Hx9vnJycSExMsjgnLy+PlJTz+Pv7AQVDZPPz84uUXdxxc7t37+Xo0WM8/vgjnD0by+HDR9izZx+bNoWTkZFhh1coIiIiIiJV4ex5GPklbDkB/p7w1nVwX3dwtRLJ2ZLXXGCg9X1Ldu60vfNKAaadrFoVxsCB/Zg8eSLPPffyJb12ZmYW//nPi3To0I62bVsTHBxEjx5dufnmG3nmmRdITEy8pPURERERERH7uH1BQcA4tQvMug68XO2T11xU1CkyM7PsUl8FmHb0xRff8vzzT9OvX2/jWGJiEjk5OXh7e1vkNZlMeHnVIDY2zi7XzsvLY/v2nWzfvhOAhg0b8NprL9ChQ1tWr15rl2uIiIiIiMilk5wByw9DUC349Cb75b1YZmZWuYbDWqMA046OHIlk5co1TJgwjuPHo0lNTSMvL48tW7YxatRw0tLSSExMwtnZiS5drgEgPHxbha/r4eFOYGBj47mDgwNBQc0AOHPmbIXLFxERERGRS+/cP+uHpmTBw4tLzvtI77Ln/c9AqOVR8fpZowDTzr7++nvq1atLs2ZNWbToVwDmzv2KCRPGMWHCOIttSl599S0SEs5V+JqBgY159tnHjec5OTnExyfwzTfzi6wqKyIiIiIil4fClVjOnod3rO+IaHi4t215KyvAdPD3b1TyCjJyVZk3by5d9k/HO/VAVVdFREREREQq2eC/BnHo0DG7DZEtZqFaEREREREREdsowBQRERERERG7UIApIiIiIiIidqFFfqSI0Qsbsm9falVXo9pwd3clOLiJXcemXwnULkWpTaxTu1indrFO7WKd2sU6tUtRahPr1C7WFbSLfctUD6aIiIiIiIjYhQJMERERERERsQsFmCIiIiIiImIXmoMpRSSc+YKk2BpVXY1qIwmIOV7Vtah+1C5FqU2sU7tYp3axTu1indrFOrVLUWoT69Qu1iUBwcFj7VqmejBFRERERETELtSDKSIiIiIiUk1lURcobuVbHxzogCP/w0QHm/JWFgWYIiIiIiIi1ZSJaUC21bR8jpPPEnK4BWe225TXAfdKqW+1DjBHjBjKxIm38PTT/yMy8phFmrOzMx9//A6rVq3lq6/mVVodhg0bTFTUcfbvP1hp1xAREREREbHGiRdKTM+mD/nsJp+DNuV1oKMda3lBtZ6DuWHDJvLy8ujaNbRIWseO7XFzc2P9+o2VWofhwwfTunWrSr2GiIiIiIiIrfLYSD4RgAkH6totb0VU6x7Mc+cS2b//IJ07hzJ//k8Wad27dyYm5gwREUdxd3fnllvGEBragVq1fElNTePIkUi+/XY+J0+eAqBVq2DuvPM2GjQIwNHRkaVL/+T7739g8uTbCQ3tSM2aXkbZKSkpPP30/3j33dcBGDNmNGPGjAbghRdeJSCgPnfdNcnIn5uby5kzZ1mw4Cc2b94KQN++vbj33rss6hwbG8eqVWH8/PNv5Ofn4+dX27hGoeTkFHbu3M1XX31HamoqAD4+3tx22zhatw7B19eHpKQk9u8/xDfffE9CwjlCQlry7LOPW5STknKeHTt2MXfuV2RmZpX7ZyAiIiIiItVLPifI5UXymA/k48iTOFC/wnntoVoHmADr1m1k2rTJBATU59Sp00DB8NhOnTqwdOmfANx55200bRrIN998T0rKeVxdXRg2bDD/+td0Zs58EoAZM+5n3779fPXVd+Tn55OQcI6hQwfRs2d3PvroU5KTU4xr5ubmkpSUxAsvvMpjj81g06Zw1qxZB0BU1HFOnz5j1AWgfv16TJx4Kw8+eA+PPvo0Z8/GGmmvv/4OGRkZODg4EBBQn9tuG0dSUjJ//73ayLNgwU8cPHgYgJo1a3LLLTcxefJE3n//YwCmT78XBwcHPvvsK9LT0/HwcOfGG6/nvvum8tJLFwLUTz75nDNnzgLg5VWDu+++k1OnhvDLL7/Z7wciIiIiIiJVIp8kcnmLPGYDGUBLnHgJE4MqlNeeqn2AuXlzOJMnT6RLl2uMQKljx3a4ubmxbt0GHBwc6N69C1988S3bt+80znNwMPHYYzPw86tNbm4u3t412bBhC/v2HTDy+Pr6kp2dxcGDh0lMTCpy7f37D5Kbm0dcXLzFHMy0tHQSExMBaN++LePHj+XAgUN07NiOVq2CLQLMgwcPkZaWDsC+fQcICQmmR4+uFgHmiRMnLcqvUcOTO+6YgIODA76+PoSEtOSVV97kwIELeWrVqsXtt9+Ko6OjcSwy8hhRUdHG8379etO8edOyN7aIiIiIiFQ7+eSQx2fk8hoQDzTEkScwMR4HHMudt5Crq4vV4+npxa1IW7xqH2CmpaWzc+duunQJNQLMbt26EBkZxalTMfj6+uDs7Mzdd9/J3XffWeR8T08PUlPT/nmWb5G2cuUaevXqznvvvUF09AkiIo6yY8cutm/fRX5+fpGyLnbddUMZP/5mli1bwbffzufbbz/Dw8OjxHMSE5Np2rRJiXmSkpJwcnLC19cHP7/aADz55L+s5i3uzQAFPbGl1UdERERERKqvfGLJ4Rby2Qb44cjLmLgLB1wrlNdcYGCA1eM7d9q+0Gm1DzChYJjsjBn3U7t2LZKTk+nUqQM//fQLgNGDN2/eAg4cOFTk3NOnz1jMrzR34sRJHnnkCbp0CSUkpCVt2oQwaNC17Nmzj1deebPEIHPq1Dvo27cXc+Z8yapVYXZ4ldaZTAXrMH344afExJwpkp6enlFp1xYRERERkaqVwz3ksw0Tk3DkJRywHtvYmtdcVNQpu63bclkEmNu27SAtLZ0uXa4hLi4OV1cX1q/fBGD0TqanZxARcdTmstPT01mzZp0xx3LIkAHceedE/P39OHs2lvz8vCLn9OjRlQED+vHyy2+wZ88+m67n41OT+PiEEvN4e3uTk5PDuXOJ1KhRAyhY/Kc8r09ERERERC5P+SSTz99AU5x41255L5aZmVWu4bDWXBYBZnZ2Dhs3bqZPn54kJyezd+9+zp1LBAoCxPDwbdxww0iysrKIi4s3zsvLyzMWz7HGz682/v5+xnNHR0datAgiIyPDmJMZFxdPcHBzWrduRX5+PlFRx/HyqkFeXh5eXl6EhLQsse4tWwabLfJTj9DQjnz77XyLPA0bNjAC5Zo1a3LddUPZsmUb+fn5REefIDIyittuG4e7uzvJycnGeZmZmRw9eqxMbSgiIiIiIpebxH/+P08OT5SY05H7bcj7OA74Vrh21lwWASbATz/9ytNPP4avb2PeeOMdi7SPP57LLbeM4ZZbxuDj420MK83IyGDKlPutFQcULIJTuP1IQf5MTp+O4e23PyQrq6CL+KuvvmPq1Dt56qlHMZlMvPDCq4SFbaBDh3ZMm3Ynrq4lj2d+7LEZxuP4+ASWLFnOX3+ttsgzbtxNxuOUlPPs3r2XL774BoD8/HzefPNdJkwYx513TsDLy8t4fdHRJ3j88f+UeH0REREREblcFU7Zi/1nNdjiOXKfjXkrJ8B08PdvVPpqNmKzwn0wp059wFhF9mKF+2DOmvUe4eHbL3ENrZs3by4zp4dw8ECNqq6KiIiIiIhUsr6DxnLo0DG7DZE12aUUERERERERuepdNkNkLzfmCwcVJy4ungkTplyiGomIiIiIiFQuBZhSRK26d+Idb/ueN1cqd3dXgoOb2HXowJVA7VKU2sQ6tYt1ahfr1C7WqV2sU7sUpTaxTu1inbu7K9DErmVqiKyIiIiIiIjYhQJMERERERERsQsFmCIiIiIiImIXCjBFRERERETELrTIjxRxZtYTxDo7VHU1qpXjVV2BakrtUpTaxDq1i3VqF+vULtapXaxTuxSlNrGuOrWL/8A7q7oKlUY9mCIiIiIiImIX6sEUEREREREx13kYZGVbT6vpBSEtYOa0gv+HTYBTZwrSXF2gWyeY9Ry4uFyy6lYnCjBFRERERETMjb8RcnKsp52KgZXr4cGn4fev4YZhkJRSkLZ2M6zZBKs2wJB+l66+1chVE2C+885rhIdv5+uvvyuSNmbMaIYNG8zddz9Yadd/5pl/k5aWxqxZ7wMwb95cvvrqO5Yt+9OoQ3j4NqKioiutDiIiIiIiUgb/uqfk9HH3wIEIOBoF9066cNyrBsz+ChLOVW79qrGrJsCsal9//R25uXnFpo8ZM5rY2DgFmCIiIiIi1dn2PXAsGkwm8KtlPU/+pa1SdaIA00xAQD3eeONli2Px8QmsWbOOH35YBEBISEueffbxEsvJysoiMjKKOXO+5OTJUwDcfvt4ix7MQubl3XvvXdx7710APPTQY8TFxdOiRRATJoyjUaMGeHh4EB+fwK5de5k3bwGpqalAQW+ouYyMTI4ejWTOnC+JiTlTztYQERERERFDzFl4by78tgLy8+H+O6COX1XXqtq5qgJMk8kBZ+eiL9lkKlhMNy4ugRdeeNU47u7uxqRJE7jxxlGcOnWades2GmmffPI5Z86cBaBlyxaMG3cT7703m8TEJBwdHbnxxlHce+9dPPvsCyXWKSrqOK+//g6PPTaDX39dws6duwFISkqiZs2aPP74THbu3MWiRYvJzs7Gy6sGY8feyD33TGHWrPeMcpYv/4tNm8IBcHZ2Yty4MUyePJFXXnmznK0lIiIiIiKknIfPvoNvf4LMLGjWGB69D3p3reqaVUtXVYA5dOgghg4dZDUtNTWNrKws9u8/CECdOv48+uhD5OXlcfp0DG3btrYIMCMjjxnDWT09PQA4fPgIcXHxAPj51Wbq1DtwcnIip7gJwkBaWjoHDx4C4NSp08b1AXr0aIebmyuffPI5mZlZxnFHRyemT78HNzc3MjIyAIiJOWtxbuPGjbjhhlFlbxwREREREbkgJxcW/Aoffw3nkqB+HbjvDhg1GBwdK1S0u7urnSpZMa6uLhb/Xyw9PdPmMq+qAHPDhk0sXfpnkePXXtuXrl07G8/btm3N9On3cvx4NG+//SGPPPKAEUSWVV5eHiaTCRcX5xIDzJLUrl2L9PQMi+ASIDExEQB//9pER5+0em5OTi4eHu7luq6IiIiIyFUt/hxMfxr2HARfH3jsfrhllN22HgkObmKXcuwlMDDA6vGdOw9aPV6SqyrATExMJiLiaJHjHTq0Mx7369ebu+6axOrVa/nii2/Jzc29lFUUEREREZGq9vT/FQSXN42Ax+4DGzubSnPo0DG7llderq4uBAYGEBV1qkinVnldVQFmaWrV8uWuuybx22/LWLDgp0t23fx868tMxccn4O7uhouLC1lZF37gPj7eAMTGxl+S+omIiIiIXDXOp8L6cGgUAM/9q1IuUZ6hp5UpMzPLbnVSgGnGw8MDJycnHBwcCAlpaXE8LS2t0q6bnp7B+fPnadu2NbGxcQBERBxhx47dZGRkcvfddxIWtp7s7Gxq1KjBDTeMJDx8uzH/UkRERERE7CT5fMH/qWnw6gcl5x0xEJb8deH5rv0F/69YA8f/mcrWuAGMv8Hu1ayuFGCaOXHiJL/9toyBA/sxevR1FmlxcXGVeu05c75k4sRb6d27B3Bhm5JXX53FhAnjeOih+/DwcCch4Rw7d+5h3rwFlVofEREREZGrUuHowoTEgpVjS9IqyHqeLTsL/gF07nBVBZgO/v6NruJtQOVi8+bNZXotBw44O1R1VURERERErkj+A++s6ioABavZBgc34dChY3YbImuySykiIiIiIiJy1VOAKSIiIiIiInahOZhSRN2Z/0f8Ptv3vLlSVcbQgSuB2qUotYl1ahfr1C7WqV2sU7tYp3YpSm1indrl0lEPpoiIiIiIiNiFAkwRERERERGxCwWYIiIiIiIiYhcKMEVERERERMQutMiPFHFmwo/EpntXdTWqleNVXYFqSu1SlNrEOrWLdWoX69Qu1qldrFO7FKU2sa46tYv/S42rugqVRj2YIiIiIiIiYhfqwRQRERERETH3qBvkFLOdiYcvNAyF61+Hhp3g+SZwLqogzdkNWgyEKQvByfWSVbc6UYApIiIiIiJirs90yM22npZwDPb8Ap9cB88cgW5TIC2hIG3/Utj3O+xZDB3HXrLqVicKMMvhvvum0rlzKN99t4AVK1YZx/38avPuu68za9Z7hIdvr7oKioiIiIhI+Y1+veT01zvByR1wZh8M+8+F40t94I/nIeVMZdauWtMcTBu1b9+Gbt26sHz5X0yYMA4vL6+qrpKIiIiIiFwqR9fB2YPgYIKa9YvJlH9Jq1SdqAfTRsOGDSE8fBs//vgz117blwED+vLLL78Xm79fv96MGDGEunXr4uho4uzZWFavXsvixUvJz88nJKQlzz77uMU5KSnn2bFjF3PnfkVmZhZeXjW4665JtGkTgqenp5Hv6NFjPPPM/wAIDe3AmDGjqV+/Pi4uzsTFxbN5czg//PAz2dnFdO+LiIiIiEjZnIuGJc9A+NeQnw/DngfvgKquVbWjANMGdevWoX37Nrzyypvk5uayZs06Bg7sz6+/LiE/v+hdig4d2nHPPVP44YdFHDoUQX5+PvXq1WXChHFkZ2ezdOmfRt5PPvmcM2fOAuDlVYO7776TU6eG8MsvvzF27A0EB7fgo4/mkJ6eYZyTkVHwuGHDBjzyyIOsWLGS7777kdzcXGrV8mX8+JtxcnLiq6++q+SWERERERG5QqUnwYpXYM07kJ0BdUPghlkQMqzcRbq7V48FgFxdXSz+v1h6ejELHZVAAaYNBg8eQGxsHHv37gdg1ao1jBw5jGuu6UR4+LYi+bt370JExFEWLVpsHNu37wBNmwbSu3cPiwAzMvIYUVHRxvN+/XrTvHlTAHx9fUhLS2f//kOkp6cXuU63bp1JSTnPl1/Oszheu3YtrrtumAJMERERERFb5ebAuo/gj/9Bahz4NoZhz0GXSWByrFDRwcFN7FJFewkMtN4Tu3PnQZvLUoBZRq6uLvTr14tly1bg7FzQbLGxcRw6FMGQIQOsBpi1a9ciMTGxyPHExCT8/PxKvF5ubi4eHh4A/PHHX/zrX9OZPfttjh07TkTEUbZu3c6+fQcAqFWrFomJSVav4+VVAzc3N6O3U0RERERESpFyFj4dCce3QA1/uOEt6H2f3bYeOXTomF3KqShXVxcCAwOIijpFZmaWXcpUgFlGvXr1wNPTkzFjRjNmzOgi6QEB9cjKqpy5jnv37ufhh5+ga9dQWrYMpkuXUIYPH8zq1Wv5+OO5lXJNEREREZGr1je3FwSX3acWDId1s+/CnuUZelqZMjOz7FYnBZhlNGTIADZtCuf335cVSXv44QcYPHgAv//+h8Xx+PgEAgKKrizl7V2TuLg4m66fnJzMihWrjG1RJky4meHDhzBnzpckJCTQsWM7K9fxJiXlvHovRURERETKKiMZDi4HvyC49dOqrs1lRwFmGbRqFUzjxo34/PNviIg4WiR9zZp1DBkygL/+Wm1xfOPGLTz++CPccMNIDh8+Qn5+PnXr1qFnz24sXPhLma8fEFAPb29v47mTkxONGzciPj6B3NxcNm0K54YbRjJp0ni2bdtpLPIzZMgA1q3bUP4XLiIiIiJytUk7V/B/Rgr89HDJea+ZAFvN1kGJ2ljw/86FEBtR8Ni/OfR50O7VrK4UYJbBkCEDOXXqNAcPHraavmpVGNdfP4JWrYItju/cuZtPPvmcESOGcMMNo3B0NBEbG8evvy5h2bIVZb7+qFEj6Nevt/E8LS2d48ejeffdjwA4ceIkb731PmPGjKZ//764uDgTH5/Ahg2b+eGHReV4xSIiIiIiV6nC3SHOny1YObYkDTpazxOxquAfQFC/qyrAdPD3b3T17gIqRcybN5fpR7twIN279MwiIiIiImIz/5caV3UVgILtUoKDm3Do0DG7zcE02aUUERERERERueopwBQRERERERG70BxMKaLuvLHE77N9U9UrVWUMHbgSqF2KUptYp3axTu1indrFOrWLdWqXotQm1qldLh31YIqIiIiIiIhdKMAUERERERERu1CAKSIiIiIiInahOZhSxJkJPxKrbUosHK/qClRTapei1CbWqV2sU7tYp3axTu1indqlqODfBld1FeQqph5MERERERERsQsFmCIiIiIiImIXGiIrIiIiInIpPd8EzkUVPHZ2gxYDYcpCcHK1zBe5Hv5+HaLD4Xws5GSCozO4+0L9ttBjGoTecsmrL1ISBZiVyNHRkRtuGEmvXt3x86uNk5MTmZmZnDhxit9/X8bGjVuquooiIiIicql1mwJpCQWP9y+Ffb/DnsXQceyFPPGR8H5/yM2GoL7QZhQ4ukB+LiREwYFlcPjvggC13egqeRki1ijArETTpk2ma9dr+Pnn3zl6NJKcnBzc3d0IDe3IQw/dh7OzM2Fh66u6miIiIiJyKQ37z4XHS33gj+ch5Yxlnsj1BcFlp1vhju+KlvH3G/DrYxCxWgGmVCsKMCtJrVq+9OrVnUWLFvPLL79ZpG3btpP69etxww0jCQtbT/369bj99ltp0aI5np4eRr6HHnqMuLh4GjQIYOLEW2jWrCleXjVISkriwIHDfPPN98THF9z9eued1/D39zPOzcrK5sSJk3z++dccORJ5aV60iIiIiJRTvuXT7PSC//2CrGf3a26ZT6SaUIBZSRo2DMBkMnHkyFGr6UeOHGXkyOH4+Hjz738/zJkzZ/noo09JT88w8iQlJeHs7GSkz579GRkZGbi7uzNq1HBmzpzOM8/8j/z8gg+kTZvCWb78L6BgeO6IEUN54IFpzJz5ZOW/YBERERGxn2Z9wOQIe36B0PFQJ7hg/mVeHiSdgM2fF+Rr3r9KqylyMZsCzNatW5Gdnc3hw0espnt4uDN8+BCCgpqSlZXFnj37WLkyjNzcXLtU9nLi7V2wj2RmZpbV9MLj9erVpW7dOrz66lvExJwpki8kpCX+/n68+upbnDp12jiekpLC888/TcOGAURHnwQgIeEc+/cfNPJ4enowY8b9eHp6kpqaarfXJiIiIiKVrG5LuGcpfH83vNq2aLqrF4z7uNhFflxdXSq5gpeXwvZQu1gqrV3S0zNtLtOmAPOppx4lNjaORx55okias7Mzzz33FAEB9Y1jnTuH0qdPL1588VWys3NsrtzVoHBYa3JystX02rVrAZCYmGhx/Ny5ROP8wgDzYoWBvbu7mwJMERERkctJyln444WC3spWw6B20wuL/CSdKljk5+/XoNE1Bf8uEhgYUAWVrv7ULtYV1y47dx60erwkNg+RdXBwsHr85ptvICCgPnl5eaxdu4Hz58/Tp09PgoKaMnLkcBYtWmxz5S5nSUlJQPF3AwqPFw5vFRERERExLH8BjobBLZ9Cj6lF00/thtfaw7zJ8PiuIslRUaeKHUl3NXJ1dSEwMEDtcpHKaBe7zMF0dnbm2mv7AbBgwU/89tsyANat28RLL/2Hrl07X3UB5okTp8jLy6NZs6bs2LG7SHqzZk2JiTlDXFw8ADVrepGWVnSSduEiPj4+3hbpPj4FQ3BjY+Mqo/oiIiIiUpVi9hX8H9jNenpAO/DwhZi9VpMzM7PKNbzxSqd2sc6e7WKXALNz5064u7uRk5PDX3+tNo5HRR0nNTWVunX97XGZy0pCwjk2bNjEyJHDyMnJITIyipycHNzc3OjUqT2tW7fi44/ncuRIJGfPxjJp0m38+effZGRcWOQnIuIIERFHiI2NY9KkCSxbtoLMzEzc3d247rphREZGceLEqSp8lSIiIiJSKdx9Cv4/tbMgmLxYzD5IOweetS9ptURKY5cAMzS0AwAHDx4mPd2yFy49PQNPT097XOayM3v2XG64YST9+/dh7NgbcHJyIisri+jok7z33mw2bNgMwGuvvc3tt9/KAw/cjYdH0W1KCtPvu2/qP9uUJHPgwCE+/PBTDbEVERERuZzERkDY+xeeR20s+H/nwoI0AP/m0G0y7F4E302B7fOhVhNwcCyYg5l8GvYXjBik25RLWn2R0lQ4wHRwcKB9+4K7Kjt3Fh0KejXLzc1l4cJfWLjwlxLznTp1mldffavY9JMnT/F//zerxDJmzPh3kWPh4duZMEEfOiIiIiLVRuIJWPNO0eMRqwr+AQT1g+mrYOrigmD0+JaCgDIvBxxM4FYT6reD0Fuhz/RLWHmR0lU4wAwObo6nZ0Gvm7W5hiIiIiIi8o8W/eHtMo5Aa3NdwT+Ry4jJlszp6enUqGE53LVbt85AwWIz5vs0ioiIiIiIyNXFpgAzOvokbm5udOxYMCS2Vi1f+vTpBcDatRvsXzsRERERERG5bNg0RHbt2g0EBzfn4Ycf5NixKAIC6uHu7kZ6ejorVqysrDrKJVZ33lji99m+qeqVyt3dleDgJhw6dEzLWptRuxSlNrFO7WKd2sU6tYt1ahfr1C5Fubu7QnCTqq6GXMVs6sH8++/VbNq0BScnR5o3b4aHhwd5eXl89tlXJCUlWz3HwcHBLhUVERERERGR6s3mRX7ee+9jVqxYRVBQU7Kystm5czdnzpwtNv+zz76Io6NNcayIiIiIiIhchsq1iuz+/QfZv79sQyiTk633bIqIiIiIiMiVxeYA083NjT59ehIQUA+AM2fOsm7dRlJSzhd7jqenB6mpaeWvpVxSE86cID02uqqrUb0cj6jqGlRPapei1CbWqV2sU7tYp3axTu1iXTVpl5f8G1V1FUSqBZsCzBo1PPnf/56hTh1/i+OjRo3g6af/R2JiYpFzGjQI4F//ms7MmU9WqKIiIiIiIiJSvdkUYI4cOZw6dfxJTEziwIFDODhAq1Yt8fauyYgRg5k37weL/B07tufBB6fh5uZm10qLiIiIiNjieeDcP4+dgRbAFCy/DD9cShmF503+57GIFGVTgNm+fVvy8vL4z39eJCGh4FfUz682b7/9Ku3atQUuBJgjRw5j3LibMJlM7N69166VFhERERGxRTegcMLWfmAfsAfoaJanbyll7PvnXyQQbOf6iVwpbAowfX19SEk5bwSXAHFx8SQlJePv7weAo6Mjd999J7179wBg9ep1fPbZl3asctV6553XjNcKkJOTQ0rKeQ4cOMiXX35X5kWNOnfuhIeHB2vWrLM4HhLSksDAxixb9qdd6y0iIiJyNRtm9ngp8AeQclGem0o4Pxc4RMEef3XsWzWRK4rNczDj4xOKHM/OzqZmTS9q1vTiX/+aTlBQMwAWLvyFRYsW26em1cimTeEsX/6X8dzbuyYTJ97K7bffwgcffFqmMq65phP+/n5FAszWrVvRt28vBZgiIiIi1chyIAboAfhUbVVEqjWbAkwHB4cS01588T/UquVLbm4uc+Z8SVjY+gpXsDpKSDhXZJuWTp060KBBAAAtWgQxYcI4GjVqgIeHB/HxCezatZd58xaQmppq0Qs6b95coCAYDwlpSevWrSyOr169lrlzv+LLLz+xuF5SUhJbtmzj66+/Izs7B2dnJyZPvp3Q0I7UrOll5EtJSeGee2ZUTkOIiIiIXAVOASuAmsCoKq6LSHVXrn0wi1Orli/p6Rm8/fYH7N27355FVysmkwPOzheaztvbm6ZNm3Do0GFq1qzJ44/PZOfOXSxatJjs7Gy8vGowduyN3HPPFGbNeo/33pvNbbfdgqurK19//R0AsbFxhIdv44YbRtGyZQvee282UBBI5uTk8sILrxrXc3R0ZPz4mxk06FoSEs7x88+/MXToIHr27M5HH31KcvKFAR+5ubmXqFVERERErjy5wLx//h8LeFRtdUSqPbsEmCkp5/Hzq01Cwjlee+1tTpw4aY9iq62hQwcxdOggi2OnT8fw/fc/EhraETc3Vz755HMyM7OMdEdHJ6ZPvwc3NzciIo6SkpJCbm6uRU9oXFw8CQnnyM7OLtJDWvi8Zk0vZsy4n1q1fImMPEbbtq35+eff8PX1JTs7i4MHD5OYmFSJr15ERETk6vE3cALoALQvIZ+7u+ulqVApXF1dLP6XAmoX60prl/T0TJvLtEuA+cknn9OmTQhr167n/PlUexRZrW3YsImlSy/MkfTwcGfChHHcddcdHD8eTXp6hkVwCRh7hPr71yY6unwBeGBgI2bOnE56ejrPPvsCY8aMJjCwMQArV66hV6/uvPfeG0RHnyAi4ig7duxi+/Zd5Ofnl++FioiIiFzFYihYDMiDgt7LkgQHN6n0+tgiMDCgqqtQLaldrCuuXXbuPGj1eEnsEmBGR58gOvqEPYq6LCQmJhMRcdTimL//SiZPnlhp7dC+fVsefvgB9uzZxwcffEJmpuXdhBMnTvLII0/QpUsoISEtadMmhEGDrmXPnn288sqbCjJFREREbJAHfAfkAOMAr5Kzc+jQscquUpm4uroQGBhAVNSpIh0eVzO1i3WV0S42B5h+frX56qtPSs9oJj8/nzvuuMfWS11W8vPzMZlMJCen4O7uhouLC1lZF35IPj7eAMTGxgOQl2c94MvPzytyzNnZienT72XLlq3Mnv1ZscFieno6a9asM1amHTJkAHfeORF/fz/Ono2t0OsTERERuZqsBqKAlkDXMuQvz1DCypSZmVXt6lQdqF2ss2e7lKsH02Qy2eXil6tatXwJCWlpPHdzc2PAgH6cOhXD5s1bufXWsdx9952Eha0nOzubGjVqcMMNIwkP305GRgZQMN+yRYsg2rdvQ3Z2DrGxccTFxRMXF4+3d01CQzuSnp5OUlISCQmJuLu7kZeXR6tWF7b1LQxaoSDwN9+f09HRkRYtgsjIyNCcTBEREbmqxQJhZs+j/vl/5z9pAP5AH7P8SwAX4JZLUUGRK4hNAeaLL75WWfW4rHTr1plu3ToDBau0nj9/nsOHj/Djj7+QnJzMq6/OYsKEcTz00H14eLiTkHCOnTv3MG/eAqOM335bRtOmgTz66AycnJxYuPAXFi78hZUrw2jTJoSHHroXFxcXVq9ey8cfz2XevAWMGjWcfv16W9Tl2LHjAPTr15sxY0YbxzMyMjl9Ooa33/7QoidVRERE5GqTCKyxcjzin38AQRQEmPkUDI3NBm4Eal2C+olcSRz8/Rtpcp4Y5s2by9Hp00k/cKCqqyIiIiJy2XjJv1FVVwEoWM02OLgJhw4d01BQM2oX6yqjXa7usa4iIiIiIiJiNzYFmA8//ABTptxuU9qUKbfz8MP3l692IiIiIiIictmwaQ5m586diIuLtymtffu2+PnVLl/tRERERERE5LJhl30w5coyr25D9sWnVnU1qg2N2bdO7VKU2sQ6tYt1ahfr1C7WqV2sU7uIVD+agykiIiIiIiJ2oQBTRERERERE7EIBpoiIiIiIiNiF5mBKERPOnCA9Nrqqq1G9HI8oPc/VSO1SlNrEOrWLdWoX69Qu1qldrKsm7VJd9sEUqWrqwRQRERERERG7UA+miIiIiFzxngfO/fPYGWgBTMHyy/DDpZRReN7kfx6LSFE2B5hOTk60aBFU5jRnZ/36iYiIiEjV6gak/fN4P7AP2AN0NMvTt5Qy9v3zLxIItnP9RK4UNgeYPj7e/Pe/T9qcdjVq374tTzwxs8jxjIwMtm3byYIFP/H2268ya9Z7hIdvr4IaioiIiFwdhpk9Xgr8AaRclOemEs7PBQ5RML+sjn2rJnJF0RDZSnTkSCQvvPBqkePBwS245Zab2LVrTxXUSkRERERstRyIAXoAPlVbFZFqzaYAc+LEqZVVjytSamoq+/cftDjm5OTEoEH9ycvL48iRSABmzpxupKelpXPgwCHmzPmCxMQkABo0CGDixFto1qwpXl41SEpK4sCBw3zzzffExycA8M47rxEevp2vv/7OKKtz507MnDmdhx56jLi4+Mp+uSIiIiJXpFPACqAmMKqK6yJS3akH8xLy9q7JI488SPPmzfjmm/lkZmYCsGDBTxw8eBgAd3c3Jk2awM0338Snn36Os7MT//73w5w5c5bZsz8jIyMDd3d3Ro0azsyZ03nmmf+Rn59flS9LRERE5IqVC8z75/+xgEfVVkek2rMpwBw9eiRr1643es2k7Jo0acy//vUQ7u5uzJr1Htu27cTPrzYAJ06ctOjpbN++Ha1aFUwdb948CH9/P1599S1OnTpt5ElJSeH555+mYcMAoqNPXtoXIyIiInKV+Bs4AXQA2peQz93d9dJUqBSuri4W/0sBtYt1pbVLenqmzWXaFGDefPMNjB07mgMHDhEWtp5Nm8KNXjgpXvfuXbjnninExcXz8stvcPp0TIn5c3NzcXd3A6B27VoAJCYmWuQ5d67gub+/nwJMERERkUoQQ8FiQB4U9F6WJDi4SaXXxxaBgQFVXYVqSe1iXXHtsnPnQavHS2JTgJmWloaHhwchIS0JCWnJnXdOZOvWbYSFbdCCNcUYOXIYEyaMIzx8Gx9+OIeMjIyqrpKIiIiIlCIP+A7IAcYBXqXkP3ToWGVXqUxcXV0IDAwgKuoUmZlZVV2dakPtYl1ltItNAea99z5M+/Zt6dGjK9dc0xE3Nzd69OhGjx7dSEpKZt26DYSFbSA6+oRdKne5a9u2NRMmjOPnn39jwYKfylVG4XBkHx9v0tLSjeM+Pt4AxMbGAZCenoGTk2MFaywiIiIiAKuBKKAl0LUM+cszlLAyZWZmVbs6VQdqF+vs2S42BZh5eXns2LGLHTt24ezsRMeOHejZsxsdOrTD27smI0YMZcSIoURHnyQsbB3r1m0kKSnZLhW9HDVu3BCAY8eiCAlpWST9/PnUUsuIiDhCbGwckyZNYNmyFWRmZuLu7sZ11w0jMjKKEydOAXDkyFFCQzty+PARo5c0KKiZHV+NiIiIyOUpFggzex71z/87/0kD8Af6mOVfArgAt1yKCopcQcq9imx2dg5btmxly5atuLq60rlzJ3r06Ea7dq1p1KgBEyaM45ZbxrBu3Ua+/XY+qalp9qz3ZWH9+s306NGV6dPvxdGxaO/if/7zYqllZGfn8Nprb3P77bdy331T/9mmJJkDBw7x4YefGivIzp//E97eNbnzzol4eLjb/bWIiIiIXK4SgTVWjkf88w8giIIAM5+CobHZwI1ArUtQP5EriYO/fyO77nHh4eFO166d6dGjKyEhLTGZTOzatYfXXnvbnpeRSjJv3lyOTp9O+oEDVV0VERERkcvGS/6NqroKQMFqtsHBTTh06JiGgppRu1hXGe1i930w09LSWbUqjFWrwvDx8WbWrFdo2TLY3pcRERERERGRasbuASZA3bp16NatMz16dMPFxYWoqOjKuIyIiIiIiIhUI3YLMOvVq0u3bl3o1q2zsbgNFKyC+sknn9vrMnIJzKvbkH3xpS9AdLXQkArr1C5FqU2sU7tYp3axTu1indrFOrWLSPVToQAzIKA+3bp1plu3zjRs2MA4np+fz969+1mzZh2bNoWTm5tb4YqKiIiIiIhI9WZzgNmwYQO6detM167X0KBBgEVadPRJ1q5dz7p1G0lMTLJbJUVERERERKT6synAfP31F6lfv57FsaSkZNat20hY2Hqio0/YtXIiIiIiIiJy+bApwCwMLrOysggP387atevZvXufsRejiIiIiIiIXL1sCjD37TtAWNh6Nm/eSmamJlJfqX4ZcwLvYVr511IEDKzqOlRHapei1CbWqV2sU7tYp3axTu1iXfVolzqzqsc+mCJVzaYA8+WX36iseoiIiIiIiMhlrlL2wRQRERERqU6avApRiQWP3ZxgYBAsnAiuZt+GHZ4suYzC8368DdycK62qIpc1mwLMqVPvKNdF8vPz+eyzr8p1roiIiIhIRU3pDAlpBY+XHoLfD8Li/TC23YU8M3qWXMZvBwrOW38cBgRVXl1FLmc2BZj9+/cp94WqMsB8553X8Pf3sziWlZXF2bOx/PbbMtasWcc777xGePh2vv76uwpfz8+vNu+++zqzZr1HePj2Cpd3sZCQljz77OM8+eR/iYrSXEkRERGR0vzHbJ6mzwp4/i84c94yz9ujij8/Oxf+jABHEwT7FZ9P5GpnU4AZFra+supR6TZtCmf58r+M5yaTibZtWzNt2mSioqJ5773ZpKScL6GEsktKSuKFF17lxImTdilPREREROzPlo0QXvwb9p2FaV2hoXfl1UnkcmdTgPnxx3Mrqx6VLiHhHPv3H7Q4FhV1nNGjr6NhwwDGjbvJogczKKgZt902jiZNAnFzczXOmTBhSqnp3t7ePPvs40YP5vPPP02LFhfGUaSnZ3Dw4GHmzv2KuLh4AGrV8mXatMm0ahWMi4sLx44d56mnnqNGDU/uuGMC7dq1pWZNL6uvzdnZibFjb6Rbt874+dUmOzubU6di+OmnX9i6dYdd2k9ERETkarXrNLyyGup7wavDqro2ItXbVbfIj6OjIyaTAyaTiXbt2gAQH59gkadmzZo88cQj7Nixi19++f/27js+qir94/hnJj0hJKRQQgk19N57ExYVRAQVsCx2URQWsYu/ZXXXVXdV7KyKBQVFgqKCikiVjkDoCQFCCyQkIYX0ZPL7Y8xImJsGk0xIvu/Xi1cy95x757kPYbhPzrnnLicnJ6dc7Zf6+OMFeHl52V4PHTqIAQP6cv/9d9lW5r3jjon4+/vz2mtvkZubR1aW9TEwd999J82bN+XTTxeSnJwMQGhoE+68c5LteOPH38iQIQNZtOhr4uLicXFxoX37Nvztb9OYPftFjh2LuaxciYiIiNR0eflw1xLrFNl3x4K/V+n7iNRkl1VgNmwYQkhIAwDi4uI5ceLquA9wwIC+PPjgPZjNZgDy8/PZsGETkZGHi/Tr3LkDXl5e/O9/H5Obm2d3nNLaLxUTcwKwTsu9885J9OnTk71799O2bWvMZjMWi4XQ0Cbs3r2HPXv22/Yzm8306NGVzz5byObNW4s9ft++vVizZj1r126wbdu37wA9e/agX7/eKjBFRERELtMr62FnLEzoADe2L76fl5dH8Y2VyMPDvchXsVJejJWWl8zM7HIfs1wFpslk4tFHH6Rnz+5Ftu/ff5BXX51LXp59seXh4c7Uqffyxhvvljs4R4uNPYPFYiE29izvvDOPhIRE0tMz7PoFBQWSmZlVbPFYWruRWrV8mD79IUJDG/Pyy68TGBhAx47t8fT0ICMjExcXF7v7APz9/XB1dSU5OaXEYwcGBhj2SU5OJjg4sMwxioiIiMifDsbDP1ZDgBe8fUPJfcPCmlZKTGUVGhri7BCqJOXFWHF5iYiINNxeknIVmCNHDrcVlykpqZhMJmrX9qV9+7aMHDmcFSt+LtI/MDCAWbOm07hxw3IHVhGOHo3hk0++4N57/0q3bl345pvvK+V9g4ICefbZx8nPz+f551/k7Nl4Bg3qXynvLSIiIiLlZ7FYp8Zm58G8G6Ge8VIYNlFRMZURVqk8PNwJDQ3h+PFYsrNLvo2rJlFejFVEXspVYPbp0xOAf//7NfbtOwBA584defzx6fTo0bVIgRkW1pIZMx6mdm1fkpLOOyRYR1i9eh2NGzdk/PixHDlytMiU1EIJCYl4eXni5uZqOEpZWvul7rnnTnJycpgz5yUyMjLLHGtycgp5eXn4+5e8VFliYpJhH39/P44dO17m9xMRERERq9c3wtaTMLIV/LV76f0vZyphRcrOzqlyMVUFyosxR+alXAVmcHAQ6enptuISICJiL+npGTRs2MC2bfDgAdx11x24urpw4sQpXn31DYcE6ygLFnxJSEgDHn74fp599h+2lVwL7dmzj8zMLO69dwobN24hNzfX1nbwYGSp7Zfy9fUlJyeX5s2bkZ+fD2C7h7UkFouF7dt3ct11f+HChXRSUlIB6yI/F9u8eRtDhw7kzJmzxMefw8XFhbZtW1O/fj02bSr+3k0RERGRmiA6Ad7e/OfrLX8sHxK+H6L/uAxsGQjT+lm/P5wAs38BH3f437jKjVXkaleuArO40cjMzEwCAuoAcPvtExk16hrAutDMG2+8S1ZWlgNCdRyLxcKbb77HnDnPMX36Q8yZ81KR9pSUVF555XUmT76FGTMetnsMSWntl/ryyyVMmXI7Tz0107bAUFl9/PEC/vrXyUyZcnuxjykJD1+G2Wxi3LgxBAUFkpeXx+nTZ3j99be1wI+IiIjUeKdSYa7B49zXHrX+ARjczFpgFhTAPeGQmQtzR0NoncqNVeRqZwoOblzmR8x+/vmHJCQkMmPGk0W2v/HGywQFBbJnz346dbIur7Vu3UY++uhTLBaLYyOWCrVw4Xx6HnwEv/RDzg5FRERE5KpR97XGzg4BsK5mGxbWlKioGE0FvYjyYqwi8uLQ52AWFpfh4csqbQEdERERERERqRocUmDm5FhXHMrPz+fDDz9lwwaDOQgiIiIiIiJSrTmkwFy2bDm9e/fghx9+Iioq2hGHFCcaG96IAwfSnR1GlaEpFcaUF3vKiTHlxZjyYkx5Maa8GFNeRKoehxSYGzduYePGLY44lIiIiIiIiFylyl1g1q5dm6eemlnuN/r3v18r9z4iIiIiIiJy9Sh3genu7kaHDu0qIhYRERERERG5ipWrwFy69LuKikNERERERESucldcYHp6euLt7YXJZKKgoIDMzEwyM7McFqBUPp/OXakb0sTZYVQpZwDf4Cb4OjuQKkZ5saecGFNejCkvxpQXY1UpL/GrfnF2CCJSRV3WIj/+/v7ceONoevToir+/n117Skoqv/++i2+//YGkpPNXHKSIiIiIiIhUfeUuMFu0aM7jj0+nVi2fYvv4+dVm2LDB9O7dg//8500OHz5yRUGKiIiISNlEfbeY3PQLAJhcXPCpF0LjAcMwu7jY+pw/epjYrRtKPVZI74HUad6qwmIVkeqnXAWml5cnM2Y8RK1aPhw4cIjffttMYmIS+fn5fx7Q1ZXAwAAGDepP69atmDHjYR5//FkyMjIdHryIiIiIFOXfvBX52dZnQl44c4oLsSdJO30CvybN7Pp61gnEO7hescfy8POvqDBFpJoqV4E5dOhg6tTxZ/v2ncyd+26Jfdet+41Zsx6lS5dODB06iOXLf76iQK8mLi4ujB17Pf379yE4OAhX16JpnjPnJSIjD1/x+yxcOJ/PPlvETz/pPggRERGxqtuhq+37+L07ObdvN3lZxr/o96nXgPpde1VWaCJSA5SrwOzatRMAS5Z8W6b+X3/9LV26dKJLl041qsC8774p9O7dg2XLlnP06DFyc/OKtJ84ccpJkYmIiIiIiFScchWYjRo1JC8vj9OnY8vU//jxE+Tn59OoUchlBXc18vf3Z8CAvixbtpxvv/2h2H7vvvt6kQWSLly4wN69+5k//3PS09MBmDTpZgYM6IufX23MZrOt7113TSX7j6kvAEFBgbzxxst8+eUSfvjhpyLv89xzT2AymXjhhZcddYoiIiJSTaTHneHM71tsr00mE65e3ngH1S1x6qyISHHKVWD6+Hhz/nxyud4gOTnFcKXZ6qpRoxDMZnORhY1cXFwwm0221xZLAa+//rZt6qzJZOKGG66jb9/eZGVl88EHn9C7d0/GjLmWDz74hLNn44q8R05OTpHXCQmJ7NwZwfDhQ4oUmMHBQbRpE8Z7731YEacqIiIiV7ms84lknU80bKvdpBmN+w81bPPy8qjIsMrMw8O9yFdRToqjvBgrLS+ZmdmG20tSrgLTbDZTUFBQrjcoKCjA5aJVy6q7OnX8AYqMME6fPpUePbrZXq9b9xvz5s0HrH+ZU6feS1hYSw4ejKRDh3a241gsFqKioss0Yrxy5a8888wsOnfuSETEXgAGDepPRkYG27btcNTpiYiISDVQp3krw9VhLfn5ZCUlcPK31aSeOEZm2054BQTa9QsLa1oJUZZdaGjNmS1XVsqJMeXFWHF5iYiILPexLus5mFI+Cxd+zXffrQBg6tR7bduDggJ57LFH8fb2Ys6cl+jRoxujRo0AYMuWbYwadQ0vv/wPYmPPcuTIUfbs2ce2bb8XWbW30L59Bzh1KpYRI4baCsyBA/vx229b7O4BFRERETFidnHBO7gevo1DOX/4EDmpyYYFZlRUTOUHZ8DDw53Q0BCOH48lOzun9B1qAOXEmPJirCLyogLTwQqnEHt4/Dl15OIproV/cU2bNuHJJ2cSFxfPSy/9l9TU1CKjnMnJKTz++HN069aF9u3bEBbWksGDB3DixCn+7/9eNPwBWLnyV6ZMuY2goECCg4OoWzeYNWvWVdCZioiISHVldrFeIhYUWAzbL2faXEXKzs6pcjE5m3JiTHkx5si8qMB0sNOnY7FYLLRo0Yzdu/fYtfv4eJOZmcm0aQ9w8uQpXnnlDfLyjEcYc3Nz2bp1O1u3bgega9fOPP74dFq0aM6BA4fs+m/YsImJE8czfPgQ/P39OHz4CCdPnnbsCYqIiEi1l3U+CQAXDy8nRyIiV5tyF5hBQYF89tn/ytz/4tVPa4Lz55PZsGET11//F3Jycjl2LIb8/Hw8PDzo3LkDwcFBHDwYRf/+fYiLiycsrKXtvtagoD+noPj51SYkpIHttclkon37NuTn55OQYHwzfnZ2NqtWrWXUqGswm818/PHnFXuyIiIiUqVkp6WSFHXA9joz8RwAqSdjyElLBcDdtzZegcGkxByx27/AYiErOYnMhHjcfGrhU7d+5QQuItXGZY1g1rSisbw+/PBTEhISGTZsEIGBN+Lq6kpOTi6JiYl89VU427f/jpubKxMnTuCZZ2YVyWd6egYAnTt35MEH77Ftz8nJJT7+HO+//xHx8eeKfe+vv/4Gb28v+vfvy+bN2yruJEVERKTKyctIL1JgFsqIP0tG/FkAvOvWx+zqZtjP7OaGm5cPgW06ENi6PWZXTXYTkfIp16fGiy++UlFxVCv5+fmEhy8jPHxZsX02bdrKpk1bi21fv34j69dvLPF9Jk++2/Z9UFAgvr6++Ph406VLJ9asWV9kJVsRERGp/nzqNaD9pLtL7wiGq8iKiFypchWYhw5FVVQccoXGjx/L4MEDyMrKZs+evSxZ8q2zQxIRERERkRpG8x6qiXnz5tuerSkiIiIiIuIMKjDFTnrELuIPlP+hqtWVl5cHYWFNiYqK0bLWF1Fe7CknxpQXY8qLMeXFmPIiIlcLrdYjIiIiIiIiDqECU0RERERERBxCBaaIiIiIiIg4hO7BFDvLli3Bz8/P2WGIiIhIFVW3bhNnhyAiVZRGMEVERERERMQhVGCKiIiIiIiIQ6jAFBEREalGmjZtislkwmQy4eXlxejRo8nOLvpok08++cTWp6Q/n3zyiXNOQkSuWlXqHsyBA/sxevQo6tWri7u7e5G2e+99mIyMzBL3X7hwPp99toiffvqlIsOsMFd7/CIiIuJ8d999N0lJSQD8+OOPLF++nO+//54JEybY9e3WrRsDBw4s9ljt2rWrsDhFpHqqMgVmq1YteOCBu/n++xXs33+I/Pz8Iu1ZWXqosIiIiEhpnn/+edv3/v7+zJkzh7i4OMO+Q4cO5T//+U9lhSYiNUCVKTDDwlpisVhYvPgbCgoKDPv4+/tzxx230qFDO3x9fW3bX3jhZQ4ejATgzjsnceedkwBrUXrsWAwfffQpsbFnAeNRwlGjRnDnnZOYPPluW5+SWCwW4uLiWbRoCTt27ATg3Xdfx9//z5VXL1y4wN69+5k//3PS09MdFr+/vx+33XYL7dq1pU4df1JSUjh4MIrPP/+SpKTzAPTq1Z2JEydQt24wZrNZo6IiIiI1XHHXViIijlZlCszTp2NxdXXlkUceZPnynzly5Khdn+nTp+Lm5saHH37KhQvptu3Hj5+wfb9y5a9s3boDADc3V265ZTxTptzOv/5Vvt/OXXwcT09PHn98Ot99t4KIiL2YTCZ69erOww/fx6OPPkFaWhqvv/42rq7WdJpMJm644Tr69u1NVlY2H3zwicPif+SRBzGZTHz00WdkZmbi7e3FuHE3MHXqvfzzn69Sq5YPDz10P6tXr2XHjl0UFBQQFxdfrnMXERGRmmHNmjXMmDHD9trFxYUGDRrQt29f+vfv77zAROSqVWUKzN279xIevowxY66lT5+enD+fzK5dEaxfv5GoqGiCggJp3boVL730X/bu3V/scc6ejbeNBgI0adKYceNuKHc8Fx/H29sLgNjYM7ZtiYlJjBw5nKZNm7B3734OHz4CgIeHO1On3ktYWEsOHoykQwfrvQuOiD8goA5t27bmpZf+y6FDf/YJCAjgjjsm4uLiQkhIA9zd3Vi3bmORwlVERETkUjt37mTnzp2GbRMnTmTRokWGbV5eHhUZVpl5eLgX+SrKSXGUF2Ol5SUzs/y3KVaZAhMgPHwZP/30Cz16dKNbty707dubYcMGs3btBtat+w2A1NTUch0zLy8fLy9Ph8daeI/oxX8ZQUGBPPbYo3h7ezFnzkv06NGNUaNGABAYGABcWfxBQYEAPP30Y4Z9PTzccXFx+eOVpsKIiIiIsSlTpjBlyhS77Tk5OezYsYObbrqJL7/8kieeeIKuXbva9QsLa1rxQZZDaGiIs0OocpQTY8qLseLyEhERabi9JFWqwARIT89g3brfWLfuN9zc3LjxxtGMGzfGVmBWVU2bNuHJJ2cSFxfPSy/9l9TUVHr06ObQ9zCbrU+VeffdDzh71v5m/czMLIe+n4iIiNQs7u7u9OvXj/Hjx/Puu+9y6NAhwwIzKiqm8oMz4OHhTmhoCMePx5KdnePscKoE5cSY8mKsIvJS5QrMi+Xm5rJq1RrGjRtD3brBAEUWx7kcmZlZuLq6lN6xnKZNe4CTJ0/xyitvkJeXZ9eemGhdLvxK4i98TEtqahrR0fb3qIqIiIg4gpeX9fag3Nxcw/bLmTZXkbKzc6pcTM6mnBhTXow5Mi9VpsD09vYiNLRJkW2urq4MHNiPrKysP+5zjObWW2/C09PTtjIrWBfJKe0ZmYWOHDnKgAH9SEhItBWCjRs3uuL4fX1rERcXT1hYS9tKbYVTWgESEhKvOP6TJ09x7NhxbrvtFry8vIpMt83Ozubo0ZgrPg8RERGRiIgIAOrWrevkSETkalNlCszQ0CbMnv1kkW1ZWdmcPh3La6+9TXJyCnPnvsftt0/kvvum4Otby9bv4sd8lGb+/AXce+9fuf/+u/H0dNwN6p9+upCJEyfwzDOzbFNZwTrlt9CVxl9QUMB///smkyffwpQpk/H19bW918mTp3jyyedLOYKIiIhUZ9HR0bz99tu211u2bAEgPDyc6OhoAFq2bEmvXr1YuHCh3f45OTns3r2bzZs3ExoayuDBgysncBGpNkzBwY21GozYLFw4n549e+Ln51d6ZxEREalS1q5dy9ChQ0vsM3jwYKZMmcJdd91l11a7dm0aNmzI9ddfz4wZM2jYsKHhMerWbWK4vbJ5eXkQFtaUqKgYTXv8g3JiTHkxVhF5qTIjmCIiIiJyZYYMGWK7Vac0RqvIiohcKXPpXURERERERERKpwJTREREREREHEJTZMXO2LETOHCg/A9Vra40Z9+Y8mJPOTGmvBhTXowpL8aUFxG5WmgEU0RERERERBxCBaaIiIiIiIg4hApMERERERERcQjdgyl2fDp3pW5I1Xi+VVVxBvANboKvswOpYpQXe8qJMeXFmPJiTHkxVpXyEr/qF2eHICJVlEYwRURERERExCE0gikiIiJSjUR9t5jc9AsAmFxc8KkXQuMBwzC7uNj6nD96mNitG0o9VkjvgdRp3qrCYhWR6kcFpoiIiEg14t+8FfnZ1keZXDhziguxJ0k7fQK/Js3s+nrWCcQ7uF6xx/Lw86+oMEWkmqpxBebcua8QHBxUYp9HH32chITESoro8syd+wo7duxiwYJFzg5FREREqpC6Hbravo/fu5Nz+3aTl5Vp2NenXgPqd+1VWaGJSA1Q4wrMt956Hzc3NwD8/f145JEHWbx4KZGRh219UlJSnBWeiIiIiIjIVavGFZjR0Udt3wcFBQJw6tRpDh6MtG3v1Kk9kybdQkhIfVsxCvDJJ5+zcuVqnnvuCTIyMnjttbdtbaGhjXnppTm88MLLHDwYyXPPPUG7dm1s7Xl5eZw9G8fChYvZvXsvAG5urkyYMI7evXsQFBRIbm4usbFnWbp0Gb//vtu274gRw7j22hHUrRuM2Wy/LtMjjzxA3769ba9zcnI4duw48+cv4OTJU1eQLREREanO0uPOcOb3LbbXJpMJVy9vvIPqljh1VkSkODWuwCyN2Wzm0UensnfvfhYsWERBQYGt7ezZuHIdKzLyMIsXLwWsH9iDBvXn4YfvZ9q0x8jOzmH8+BsZMmQgixZ9TVxcPC4uLrRv34a//W0as2e/yLFjMXTp0pG77rqdxYuXcvjwESwWCwCPPPKg7X2WLv2eVavW2l537dqZ0aNHMWPGQ8ya9WyRcxAREREplHU+kazzxrcF1W7SjMb9h1ZyRCJytVOBeQlPTw+8vb05ezaeAwcOXdGx0tLSioyMZmVlMWhQfxo0qE9MzAn69u3FmjXrWbv2z1Xc9u07QM+ePejXrzfHjsXQu3dPoqOP8u23PxQ5dm5uru3706djOX3a+v0NN1zHddeNJCJiL507dyQwMKDK308qIiIilatO81aGq8Na8vPJSkrg5G+rST1xjMy2nfAKCLTr5+XlURlhlsrDw73IV1FOiqO8GCstL5mZ2eU+pgrMS2RkZLJq1RrGjr2eoUMHER19lEOHItm8eRuJiUlXdOz8/HwAvLy8AAgMDCA52f5+z+TkZIKDAy/qk1zqsd3c3Hjwwbvp3r0r7777AefPJ9O5c0d8fLxVYIqIiEiZmF1c8A6uh2/jUM4fPkROarJhgRkW1rTygytBaGiIs0OocpQTY8qLseLyEhERabi9JCowDcyfv4B1636ja9fOtGrVgptuGsuECeP473/fZO/e/c4Oz46PjzdPPfUYAQF1eOGFlzly5Bht27Z2dlgiIiJylTK7WC8RCwoshu1RUTGVGE3xPDzcCQ0N4fjxWLKzc5wdTpWgnBhTXoxVRF5UYBbjyJFjHDlyDAAvL0/+9a+/M2BAX/bu3U9WVhaurleeusTEJPz9/ey2+/v7cezYcVufhg1L/k3LrbeOJyCgDrNnv0BS0vkrjktERERqtqzz1llbLh5ehu2XM22uImVn51S5mJxNOTGmvBhzZF5UYBq4dPTP39+PWrVq2Rb5iY4+yujR1zJkyEAuXLgAUOqzNY1s3ryNoUMHcubMWeLjz+Hi4kLbtq2pX78emzZtBWDLlu08/vh0xo69nujoo7ZFfi5e3dbX15fc3FwaNWpIvXp1AQgNbVL+ExcREZGrWnZaKklRB2yvMxPPAZB6MoactFQA3H1r4xUYTErMEbv9CywWspKTyEyIx82nFj5161dO4CJSbajANDB79pO27y0WCykpqWzdup3ly38G4Mcff6FBg/pMmnQzvr61Lvt9wsOXYTabGDduDEFBgeTl5XH69Blef/1tjh2LASAiYi+ffrqQa68dwc03jzN8TMm3337PAw/czaxZjzpkZFVERESuTnkZ6UUKzEIZ8WfJiD8LgHfd+phd3Qz7md3ccPPyIbBNBwJbt8es6woRKSdTcHBjPcNCbBYunM/r36/k+DktDCQiIiLG4lf94uwQAOtqtmFhTYmKitG0xz8oJ8aUF2MVkRf74TARERERERGRy6ACU0RERERERBxCBaaIiIiIiIg4hO7cFjvpEbuIP1D+h6pWV5qzb0x5saecGFNejCkvxpQXY8qLiFwtNIIpIiIiIiIiDqECU0RERERERBxCBaaIiIiIiIg4hO7BFDvLli3Bz8/P2WGIiEgNNWLECGeHICIil0kjmCIiIiIiIuIQKjBFRESkXJo2bYrJZMJkMuHl5cXo0aPJzi66sumDDz5o63PpH09PT9q0acM777zjpDMQEZGKoimyIiIiUi533303SUlJAPz4448sX76c77//ngkTJtj6DB8+HE9PT8P9MzMzWbJkCdOmTaNhw4bceOONlRG2iIhUgqumwBw5cji33jqe3bsjeOuteUXaRo8exbhxN7Bnzz7mzn3XSRGKiIjUDM8//7zte39/f+bMmUNcXFyRPjfffDM333xzscdo164dM2bM4Ndff1WBKSJSjVw1U2THj7+BLVu207dvb1q3bmXb7uXlxc03j2PLlm307t2D5s2bOi9IERGRGqqgoKDMfZOTk1m6dCkAjRo1qqiQRETECa6KEcy6dYPx9fVl1ao1dOnSkQ4d2hEZeRiAtm1b4+bmxjfffM+AAX1p3rwpJ0+e4tNP/1fkGCkpKWzfvpMFCxaRm5sHQMeO7Zk4cQING4bg7u5m67tjx05ee+1t2rZtzezZTxY5TlraBXbv3sP8+Z+RnZ1j6/P00//H8eMnbf1mzpyGt7c3L774Cr6+tbjnnjtp374tPj4+tj5Hj8bw3HP/oG7dYO65505atmyBl9ef04m2bt1hG5Ht378PY8ZcS/369QGIj49n+fKfWbfuNwCee+4J2rVrY9s3Ly+Ps2fjWLhwMbt377385IuIiDhIbm4u77//Pv/4xz9ISEigS5cuTJ061dlhiYiIA10VBWajRg0BiI09w+HD0YSFtbS1tW7dinPnEkhISCQuLp5GjRqRl5fPCy+8bOvj4uLCpEk3c801Q0lKOs+33/5AQEAdZs6cxqZN2/jqq3Byc3MBuOOOSXbv/7//fUxcXDwAvr61uO++KcTGjmTZsh/KFP+ECTcSFtaK9977kMzMLNv2rCzr91Om3EadOnWYO/cdW/ELkJqaBkC7dm148MF7WLToa1sR27x5M+67bwpxcfEcOhQFQGTkYRYvtv5G2GQyMWhQfx5++H6mTXuM7OycMsUqIiJSEcLDw3nqqaeIjo7Gx8eH559/nqeffrrY+zRFROTqdFUUmI0bNyIxMYns7Gyioo4wfvxYTCYTBQUFtG7diqioaABiY8/SuHFDCgoKOHgwEoDatX2ZPv0hAgLqcOxYDB06tOPbb3+gU6cOuLq6Mn/+Z+Tn59veKyMjw+79jx2LKTI6OXjwAFq2bFbm+OvU8ScjI5ODB6PIzMy0a/f39yc1NZWDByOLFJiF+vfvS1RUNL/8stq2LSrqMKNGXUP79m1tBWZaWprtvMFawA4a1J8GDeoTE3OizPGKiIg4ypYtW3jsscfYtGkTbm5uPPzww8yePZt69eqVuJ+Hh3slRXh1KMyH8lKU8mJPOTGmvBgrLS+ZmdmG20tylRSYDTlz5iwAhw9H4+XlSZMmjYmNjaVZs1A2btwCwJkzZ2jbdrBtv9DQxsyc+QiZmZnMnv0C48ePJTS0CWAt+rKysosUl2WVn5+Pt7d3mfv//POvPPbYI7z//hvExJwgOvoov/++iwMHDgGwYsXP3H//Xcyb9xbHjsUQFRXNtm2/c+xYDABBQQG0bdvabtovUGIchefm5eVVjrMTERFxjNmzZ/Ovf/0LgNtvv51//OMfNGtWtl/QhoaGVGRoVy3lxZjyYk85Maa8GCsuLxERkYbbS3LVFJiFI3NHj8aQk5NLWFhLvLw8cXNzIyrKej9mbOxZfH198ff3o0mTxsyY8TD79h3gnXf+Z/d8rvT0jCL3XVak/fsPMmPGU/Tq1Y3WrcPo2bMb1147gnXrfmPevPn89ttmDh2Kolev7oSFtWTIkIGMHXs9S5Z8y9Kl32E2mzl4MJJFi762O3ZyckqlnIOIiEh5LFq0iBdffJGwsDC++uorunTpUq79jx+P1e0dF/HwcCc0NER5uYTyYk85Maa8GKuIvFT5AtPFxYUGDerz669rAeuo3LFjMYSFtcTb24uMjExOnDgFWAtMgObNmzJ16n1s3/4777//keHKdlFRh3Fzc2P48CFs2rSVvDzrPZgmk6lc8RXeR+nqWnIqU1NTWbVqLatWWc9j8uSbufbakXz44afk5+eTkJDIihUrWbFiJSaTiWnTHmDIkIEsXfodGRmZ+Pv7ER19tFyxiYiIOMuSJUsA+Oijj8pdXAJkZ+dc1tSs6k55Maa82FNOjCkvxhyZlypfYIaE1MfV1dVWPALs2bOPa64ZSlBQIJGRUbYC8syZMwCEhjbBy8sTi8VCmzZhtv38/f1s38fEnOCrr8L5618nc889dxZ5zx07dpY5vtjYs6SnZzB69LVs2rTFFou/vz85OTm2c/Dz+/O9XV1dadKkMYmJSeTn5xMa2rjIVFcPD3fq169nW1how4ZNzJw5jVtuuYkDBw4VmdZ76lQsaWlpZY5XRETkSkRHR/P222/bXm/ZYr1NJTw8nOho65oILVu2JCkpCYB58+bZik0jo0aNYtSoURUYsYiIVKYqX2A2bmx9PlZs7Bnbtl9/XUf//n2pX78eb7zxjm17RkYmyckpBAUFsXDhYsaMuZbBgwcUOd7Fi90sW7acn3/+lXr16uLmZk3Fvff+tchKr6XJzs7mnXfmMXnyrTzyyINFRjIL77EcM+a6InFYR11P8uab7wHWlWsvfsTIhQsXiI4+xmeffQFYC9558+Zz3XUjue66kbi7/3kT7htvvMO2bb+XOV4REZErcerUKebOnWu3fe3ataxduxaAwYP/XA/h888/L/F4/v7+KjBFRKoRU3Bw47I/GbmaadMmzDYl1mQyERwcxJQpt/HFF4tZtWqNk6NzjoUL59OzZ88iI64iIiKVacSIEURFxWga20W8vDwIC2uqvFxCebGnnBhTXoxVRF6q/AhmRXrqqcdsC/3k5+eTlHSelStX2+73FBERERERkbKr0QXmlCkPODsEERERERGRaqNGF5hibOzYCRw4UP5n3lRXmlJhTHmxp5wYU16MKS/GCvMiIiJXJ7OzAxAREREREZHqQQWmiIiIiIiIOIQKTBEREREREXEIFZgiIiIiIiLiEFrkR+zEDenKuS5NnB1GlXICoL1ycinlxZ5yYkx5MRa2/4SzQxAREXEojWCKiIiIiIiIQ2gEU0REpDjzF0PaBev3Li7QOASuHwauLvZ9j5+GvQfh7DnIzLJu8/KE+nWhU1toElJ5cYuIiDiJCkwREZHitG8FWX88ozLmFMSchGMnoFWzov227IStu62FZ+MQ8K1l3Z52AY6fgiPHoV936Nm5UsMXERGpbCowK8jAgf0YPXoU9erVxd3dvUjbvfc+TLt2bfD29mb9+o0Oe8/x48cyatQI7rtvGgDPPfcEGRkZvPba2w57DxGRGqV31z+/9/ijiMzILNrn7Dnrdk8PmHgD+PkWbU9Jgy+/g02/Q2gjqBtY0VGLiIg4jQrMCtCqVQseeOBuvv9+Bfv3HyI/P79Ie1ZWNt27dyU4OMihBaaIiDhB5FHr13at7ItLsG5r1wp27oPIIyowRUSkWlOBWQHCwlpisVhYvPgbCgoK7Nrnzn2F4OAgABYunA9AePgywsOXERBQh/vvv4s2bcJwd3cnJuYEzzzzd3x8vJk8+RY6depAnTr+ZGfncOLESb78cgmRkYcr9fxEROQi51OsX/1rF9+nsC0ppeLjERERcSIVmBXg9OlYXF1deeSRB1m+/GeOHDlapP2tt97ntttuxcPDgwULFgFw7lwCAHfcMRF/f39ee+0tcnPzyPrj3p+7776Tli2bs3Dh1yQnJ+Pm5kqvXj148sm/MWvWsyQlna/ckxQREav8POtXF4OFfwoVtuXl2jV5eLjbbavJCvOhvBSlvBhTXuwpJ8aUF2Ol5SUzM7vcx1SBWQF2795LePgyxoy5lj59enL+fDK7dkWwfv1GoqKiiY4+SlpaGvn5+Rw8GFlk39DQJuzevYc9e/bbtpnNZnr27MZnny1k8+attu379h2kX7/e9OjRjZUrf6208xMREccJDdXqskaUF2PKizHlxZ5yYkx5MVZcXiIiIg23l0QFZgUJD1/GTz/9Qo8e3ejWrQt9+/Zm2LDBrF27gf/97+Ni93NxceHSWbX+/n64urqSnFx0apXFYiEt7YJtuq2IiDiByx//lV5yv30RhW2ubnZNx4/Hkp2dUwGBXZ08PNwJDQ1RXi6hvBhTXuwpJ8aUF2MVkRcVmBUoPT2Ddet+Y92633Bzc+PGG0czbtwY1q37zdmhiYiIo9Txsz6KJDm1+D6F92kG+Nk1ZWfnXNYUpOpOeTGmvBhTXuwpJ8aUF2OOzIvZIUeRUuXm5rJq1RoAfH19sVjsF/8pTnJyCnl5efj5Fb0wMZvN+PrWst2/KSIiTtC6ufXr/ijjIjM5FQ78sRhb6xaVF5eIiIgTaASzAnh7exEa2qTINldXVwYO7EdWVhbR0Udo0yaMVq1a0KlTe3Jz8zh3LoGEhETD41ksFrZv38mYMdeSkZFBcnIKbm6u9OzZHYAdO3ZW+DmJiNQ4yakQceDP12fPWb9Gx/xZSPrXhs7toHcX67Mwv/gGGoeAby1re9oFOBkLefnQr7seUSIiItWeCswKEBrahNmznyyyLSsrm9OnY3nttbdJTk7hhx9+olmzUGbNmo6rq6vtMSXFmT//MyZPvoXJk28p8piSl19+XSvIiohUhAvpsPuA/fZTZ61/ABrWtxaYfbpBg3qw56C1ED1+ytru6QmhDa19GmthCRERqf5MwcGNyz5XU6q9hQvn88hvKzmUbDyaKiIijnPN/hNERcXofqCLeHl5EBbWVHm5hPJiTHmxp5wYU16MVURedA+miIiIiIiIOIQKTBEREREREXEI3YMpduqt3UXigfI/VLW60pQKY8qLPeXEmPJizMvLA8KaOjsMERERh9IIpoiIiIiIiDiECkwRERERERFxCBWYIiIiIiIi4hAqMEVERERERMQhtMiP2Ikb0pVzXZo4O4wq5QRAe+XkUsqLPeXEmPJiLGz/CWeHICIi4lAawRQRERERERGH0AimiIhIceYvhrQL1u9dXKBxCFw/DFxd7PsePw17D8LZc5CZZd3m5Qn160KnttAkpPLiFhERcRKNYF6B6677CwsXzqdZs6Z2bW5ubsyf/y533jm5TMcaNKg/PXp0tdveo0dXBg3qf1nxLVw4n1GjRlzWviIiArRvBV3aWf/4+kDMSThmMK11y0749mdrkVk3CDq0sf6pGwTHT8E3P8H2iMqPX0REpJJpBPMKbN68lcmTb6ZXr24cOxZTpK1Ll054enqyadOWMh1r0KD+nDuXwI4du4ps7969K8HBQaxfv9FRYYuISFn1vugXfx47YetuyMgs2ufsOet2Tw+YeAP4+RZtT0mDL7+DTb9DaCOoG1jRUYuIiDiNCswrcP58MgcPRtKjRze++mppkbY+fXpw9mwc0dFH8fLy4tZbx9OtW2cCAuqQnp7BkSPH+OKLrzh9OpaFC+fb9hs8eAAA77//EePHjyU4OAjA1ic8fBnh4ctKPaaIiFSSyKPWr+1a2ReXYN3WrhXs3AeRR1RgiohItaYC8wpt3LiF+++/i5CQBsTGngGs02O7du3Mjz/+AsCUKbfRrFkon3/+JWlpF/DwcGfUqBE89tgjzJz5NC+88DL33TeFuLh4vvtuBQCxsWeIjT3DbbfdioeHBwsWLALg3LmEMh1TREQqyfkU61f/2sX3KWxLSqn4eERERJxIBeYV2rZtB3fddTs9e3Zn2bIfAOjSpSOenp5s3LgZk8lEnz49+eSTL9i168/7b0wmM48/Pp2goEAOHowkKyub5OQUDh6MtPVJSUklLS2N/Pz8ItvLcsyEhMRKOHsRESE/z/rVxWDhn0KFbXm5dk0eHu4VENTVqzAfyktRyosx5cWecmJMeTFWWl4yM7PLfUwVmFcoIyOTiIi99OzZzVZg9u7dk2PHjhMbe5Y6dfxxc3PjvvumcN99U+z29/HxLncx6O/v5/BjioiIc4SGanVZI8qLMeXFmPJiTzkxprwYKy4vERGRhttLogLTATZu3ML06Q8RGBhAamoqXbt2ZunSZQC4/PFb64ULF3PoUJTdvmfOxJX7/SrimCIicplc/vivND+/+D6Fba5udk3Hj8eSnZ1TAYFdnTw83AkNDVFeLqG8GFNe7CknxpQXYxWRFxWYDrBz524yMjLp2bM7CQkJeHi4s2nTVgDS0zMAyMzMIjr6aLHHKCgoMNxusdhvL+sxRUSkEtTxsz6KJDm1+D6F92kG+Nk1ZWfnXNYUpOpOeTGmvBhTXuwpJ8aUF2OOzIsKTAfIzc1jy5ZtDBzYj9TUVPbvP8j588kAZGZmsmPHTm68cTQ5OTlFpq5aLBYiIw8DkJCQSNOmobRv3xaLxUJs7BlSUlJJSEikVasWdOrUntzcPM6dSyAhIbFMxxQRkUrQujns3g/7o6BjG/vFfpJT4cAfn8utW1R+fCIiIpVIBaaDLF36Hc8++zh16jThP/+ZW6Rt3rz53HrreG69dTz+/n6YzWYAsrKyuPvuhwBYvHgpDz10H089NRMXFxfef/8j1q/fyA8//ESzZqHMmjUdV1dX22NKynJMERG5AsmpEHHgz9dnz1m/Rsf8OVrpXxs6t4PeXazPwvziG2gcAr61rO1pF+BkLOTlQ7/uekSJiIhUe6bg4MbGczOlRlq4cD6P/LaSQ8laJEhEarhTZyD8x5L7NKwPE66zfn/8NOw5aC1Es7Ks2zw9oUGwtQhtbL+AwjX7TxAVFaPpWhfx8vIgLKyp8nIJ5cWY8mJPOTGmvBiriLxoBFNERMRIowYw/e6y9w9taP0jIiJSg5mdHYCIiIiIiIhUDyowRURERERExCE0RVbs1Fu7i8QD5X+oanWlOfvGlBd7yokx5cWYl5cHhDV1dhgiIiIOpRFMERERERERcQgVmCIiIiIiIuIQKjBFRERERETEIXQPptiJG7aEc939nB1GlXICoJOzo6h6lBd7yomxsD0jnB2CiIiIVAKNYIqIiIiIiIhDqMAUERERERERh9AUWRERsRe7Cba/CnE7IPMc5GeD2Q0860BgB+h0P7S+1dlRioiISBWjEcwKMHXqvXz00btcc82QItuDggJZuHA+PXp0BWD8+LF88MHbTohQRKQEKcdg8RA48i34NYcOd0PX6dDpAajfG05vgOUTIXqZsyMVERGRKkYjmA7WqVN7evfuyY8/rmTy5FvYuvV30tLSnB2WiEjZxW4CSy60ngjXL7Jv3/EfWP84nFoHLcdWfnwiIiJSZanAdLBRo0ayY8dOliz5lqFDBzFs2CCWLVtebH8fH28WLpwPgMViIT7+HD/9tIqVK3+19enWrTPjx4+lQYMGuLu7kZCQyLZtO/j662/Jzc0lKCiQN998tchxMzIyOHgwkg8++JTU1NSKOVkRqZ7yMq1f/VsYt/u3LNpPRERE5A8qMB2oXr26dOrUnpde+i/5+fmsX7+R4cOH8N13KygoKDDcJysri1dfnQuA2WymZcsWTJlyG3Fx8URE7KVRo4b87W/TWLVqDYsWLSE/P5+AgDpMmnQzrq6ufPbZn6MLixcvJTLyMABeXp7ceedkbrllHB9++GnFn7yIVB8NB4LJxToFtvUkqBMGLm5QYIG0U7D/Y2u/xkOcGqaIiIhUPSowHWjEiGGcO5fA/v0HAVi7dj2jR4+ie/eu7Nix03Cf/HwLBw9G2l7v33+QHj260KdPTyIi9tK7dw/S0i7w6acLi+wXGBjA9dePKlJgnjp1usixOnXqSJs2rRx5iiJSEwS0hpt+hF/ug8862Le7+8I188q9yI+Hh7uDAqweCvOhvBSlvBhTXowpL/aUE2PKi7HS8pKZmV3uY6rAdBAPD3cGD+7PTz+tws3NmtZz5xKIiopm5MhhxRaYRs6fTyEwMACAgIAAkpNT7PokJ6fg61sLT0/PYo+Tn5+Pl5dXOc9ERGq8jHjY8oJ1tLLpKPBrBmZ3KMiHC7EQ8xNsfwXqdbf+KaPQ0JAKDPrqpbwYU16MKS/GlBd7yokx5cVYcXmJiIg03F4SFZgO0r9/X3x8fBg/fizjx9svehESUp+cnNwyHs14Oq2ISKXY8oJ1pdgRH0DHe+3bz+2FBZ3g57vgzj1lPuzx47FkZ+c4MNCrm4eHO6GhIcrLJZQXY8qLMeXFnnJiTHkxVhF5UYHpICNHDmPr1h0sX/6TXduMGQ8zYsQwli//uUzH8vf359Sp0wAkJSXRpUtHuz5+fn6kpV0gKyuLWrV8rix4EZGLJR6wfq3f27g9uCN41IHE/eU6bHZ2zmVNtanulBdjyosx5cWY8mJPOTGmvBhzZF5UYDpAmzZhNGnSmI8//pzo6KN27evXb2TkyGH8+us6uzYXFzNt27YGrIv8tGjRjJYtmxMebn2+3NatO7jxxtHceeckdu6MsC3yM3LkMDZu3FyxJyYiNZOHv/XruQhrMXmpxAOQfR48Ays1LBEREan6VGA6wMiRw4mNPWNbwfVSa9du4IYbrqNNmzC7Nk9PT2bPfhL48zEln3zyORERewHrwj2vv/4248ePZciQQbi7u5GYmMTmzdv4+utvKu6kRKTm6nAXRH8DK++GqK+gdlPrqrIF+ZB+xnoPJkCHu50apoiIiFQ9KjAd4M033yuxPT7+HLffbr2PadWqNbbt4eHLbCOVJdm5M4KdOyOKbU9ISGTyZPsLvQULFrFggcFD0kVEStJ8NNz4Pex+G85utxaUljwwmcG9NgR1hNYToesjzo5UREREqhgVmCIiYq/59dY/IiIiIuVgdnYAIiIiIiIiUj2owBQRERERERGH0BRZsVNv9QQSD5T/oarVlZeXB2FhTYmKitGy1hdRXuwpJ8a8vDwgrKmzwxAREZFKoBFMERERERERcQgVmCIiIiIiIuIQKjBFRERERETEIXQPptiJG7aEc939nB0GwQuaODsEEREREREpB41gioiIiIiIiENoBFMcY9PfYcucP16YwL8FjPoUQvo5MyoREREREalEKjDFMRr0ga7Trd+nHocj38LWf8G4H5waloiIiIiIVB4VmBVo7txX2LFjFwsWLLqs/Xv06Iq3tzfr128ssv25554gIyOD1157G4CWLZtz771TaNiwAS4uLrz//kecO5fA7NlP8vTT/8fx4yev+FxK1WyU9Q9ASoy1wMyIq/j3FRERERGRKkMFZhXWvXtXgoOD7ArMBQsWkZ9vsb2eMOFGsrOzePnl18nPzyc29gy5ubm88MLLnD0bX9lhX6TAie8tIiIiIiKVTQWmk7z77uv4+/+5UuuFCxfYu3c/8+d/Tnp6OnPnvkJwcBAACxfOByA8fBnh4cu4445JthHMwjaAZ56ZBeCcEUwREREREanxVGA6yeuvv42rqzX9JpOJG264jr59e5OVlc0HH3zCW2+9z2233YqHh4dtiu25cwl2x3nhhZe5774pxMXF8913KwCIjT1DSEiDyjsZERERERERVGA6zeHDRwDw8HBn6tR7CQtrycGDkXTo0A6A6OijpKWlkZ+fz8GDkcUe5+DBSLKysklOTinSrzoUmF5eHs4OAbD+HV38VayUF3vKiTHlxZjyYkx5Maa8GFNe7CknxpQXY6XlJTMzu9zHVIHpREFBgTz22KN4e3sxZ85L9OjRjVGjRjg7rCojLKyps0MoIjQ0xNkhVEnKiz3lxJjyYkx5Maa8GFNejCkv9pQTY8qLseLyEhFR/EBXcVRgOknTpk148smZxMXF89JL/yU1NZUePbo5O6wqJSoqxtkhANbf6ISGhnD8eCzZ2TnODqfKUF7sKSfGlBdjyosx5cWY8mJMebGnnBhTXoxVRF5UYDrJtGkPcPLkKV555Q3y8vIM+1gsNXsV1ssZkq9I2dk5VS6mqkB5saecGFNejCkvxpQXY8qLMeXFnnJiTHkx5si8qMCsYPXqBdOjR1e77X5+tYmLiycsrCUFBdZCMigosEifhIREWrVqQadO7cnNzePcuQQSEhIrJe5y2/wPyEqyfp+Tav2adhLWzPizT5/nwSug0kMTEREREZHKoQKzgnXr1oVu3brYbf/6628YOnQQzzwzC7PZbNuenp5h+/6HH36iWbNQZs2ajqurq+0xJVXS/vmQerzotox42DX3z9fdZqjAFBERERGpxlRgVqDp058osf2bb74vsT05OZkXXnjZbvuLL75S5PUzz/zdrs/Bg5FMnnx36UE6yr0xlfdeIiIiIiJSJZlL7yIiIiIiIiJSOhWYIiIiIiIi4hAqMEVERERERMQhdA+m2Km3egKJB8r/UFUREREREanZNIIpIiIiIiIiDqECU0RERERERBxCBaaIiIiIiIg4hO7BFDtxw5Zwrrufs8MgeEETZ4cgIiIiIiLloBFMERERERERcQiNYIpjbPo7bJnzxwsT+LeAUZ9CSD9nRiUiIiIiIpVIBaY4RoM+0HW69fvU43DkW9j6Lxj3g1PDEhERERGRyqMCE5g79xWCg4Nsr/Pz8zl/Ppndu/fw9dffkpaWVu5jNmsWyj//+X988cVXLF/+s137s88+jq9vLZ566v+KPcb48WMZNWoE9903rdzvX+majbL+AUiJsRaYGXHOjEhERERERCqZCsw/bN26g5UrfwXAbDZTv349Ro8eRYcO7Xj22TlkZmaV63jHjh0nNvYMPXt2tyswa9f2pU2bMBYv/qbEY6xb9xv79h0o34lUKQXODkBERERERCqRCsw/JCWd5+DBSNvr/fsPcvBgJP/5zz8ZNmwwy5f/jKurK+PGjaFfv94EBweRlZXFiROn+PLLJURFRdsdc9Omrdx00w34+/uRnJxi296zZ3dMJhObNm0BwMXFhbvuup3evXvg4+MDwL33PszgwQOKjGB6eXlx663j6datMwEBdUhPz+DIkWN88cVXnD4di5ubK3fddQfdunWhdm1f2/ulpaXxwAPTKyRvIiIiIiIihVRgliA29gxpaWmEhbVi+fKfufHG0Qwa1J8vv1xCUtJ53NxcGTCgH7NmPcqMGU+SkZFZZP+NG7cwYcKN9OjRlVWr1tq29+7dg6ioaBITkwAYNmww/fr14f33PyQt7QIAWVnZdvFMmXIbzZqF8vnnX5KWdgEPD3dGjRrBY489wsyZT/OXv1xDv359eO+9D0hN/XNab35+fgVkR0REREREpCgVmKXIysrG29sLgP79+7B+/Ua2bdthaz9/PpkBA/oSGtqkyAgoQFxcPEeOHKVnz+62AtPX15e2bVvzySdf2PqFhjYmLi6ebdt+LzYOk8lEnz49+eSTL9i1K+Ki7WYef3w6QUGB1KlTh9zcHCIjDxcZMb1aeXl5ODsEADw83It8FSvlxZ5yYkx5Maa8GFNejCkvxpQXe8qJMeXFWGl5ycy0H/QqjQrMcggMDGDcuDGMGzfGrs3Hx9twn40btzJ58s34+HiTnp5Bz57dKCgoYOvW7bY+Li4uFBSUfL+iv78fbm5u3HffFO67b4rh+69Zs57+/fvw1lv/4eTJU0RHH2X37j3s2rWn1ONXRWFhTZ0dQhGhoSHODqFKUl7sKSfGlBdjyosx5cWY8mJMebGnnBhTXowVl5eIiEjD7SVRgVkKT08PMjOtU19dXV1ZsWIlW7Zss+t35sxZw/03b97KbbfdQrduXdiwYRN9+vRkz579XLiQXq44XFxcAFi4cDGHDkUZvH8cOTk5/O1vT9GzZzfatm1N+/Ztueaaoezbd4CXXvrvVVdkRkXFODsEwPobndDQEI4fjyU7O8fZ4VQZyos95cSY8mJMeTGmvBhTXowpL/aUE2PKi7GKyIsKzBI0bBiCr6+vbQGf9PR08vLyiI4+WuZjpKSkcuDAIXr27Mbu3Xto0yaM9977qNyxpKdnAJCZmVXi+2dmZrJ+/UbWr98IwMiRw5gy5XaCg4OIjz9X7vd1pssZkq9I2dk5VS6mqkB5saecGFNejCkvxpQXY8qLMeXFnnJiTHkx5si8qMD8Q0BAHdq2bQ1YRwsLH1MSFxfPr7+uA2D9+k0MHz6EhIQEYmPPFhkRjIqKLnYxnXXrfuP+++/ixhvHkJ2dw++/7yp3fJmZmezYsZMbbxxNTk4OCQmJtjaLxUJk5GGCggKLPM/TxcWFVq1akJWVVfH3ZG7+B2RZFy0iJ9X6Ne0krJnxZ58+z4NXQMXGISIiIiIiTqMC8w+9e/egd+8egHXV1eTkFHbv3sPXX39rmyK7aNHX5ObmMmbMdQQE1LFNWwV44IFHbSvAXmrz5m0MGNCPIUMG8sUXX5GTc3nDz/PmzefWW8dz663j8ff3w2w2A5CVlcXddz/E4MEDGD9+rK1/VlY2Z86c5Y033r3s9yyz/fMh9XjRbRnxsGvun6+7zVCBKSIiIiJSjanABKZPf6JM/fLy8vjyyyV8+eWSch2/oKCAV155vdj2efPmG24PD19GePgy2+v09Azmz1/A/PkLytS/Ut0b45z3FRERERGRKsPs7ABERERERESkelCBKSIiIiIiIg6hKbJip97qCSQeKP8zb0REREREpGbTCKaIiIiIiIg4hApMERERERERcQgVmCIiIiIiIuIQKjBFRERERETEIUzBwY0LnB2EiIiIiIiIXP00gikiIiIiIiIOoQJTREREREREHEIFpoiIiIiIiDiECkwRERERERFxCBWYIiIiIiIi4hAqMEVERERERMQhVGCKiIiIiIiIQ6jAFBEREREREYdQgSkiIiIiIiIO4ersAMT52rdvy+jRo2jRohne3t5kZWVx/PhJfvrpF7Zv3+ns8JwiKCiQN9981W67xWIhMTGJ779fwapVays/sCqmY8f23HXX7fj5+fHVV+GsXPmrs0Nymnbt2jBmzLW2f0dm85+/v/vkk89ZuXK1E6NzjoCAOkycOIG2bVvj51cbs9lMVlYWJ0+eZsWKlWzf/ruzQ6xQHh4efPzxewDk5+cTHX2Ul176Lzk5ObY+Li4ujB49ir59e1OvXjCurq6kpKSyb98Bli79jvj4c84Kv8KUlpfx48cyfvxYu/2ys7OJiTnBRx99xqlTpys15spQlp+Xi5lMJiZOnMA11wwlJSWFV155g7Nn4yoz5EpR1n9H1133F/r37029enXx8PAocoy77ppKdnZ2pcZdkcqSk27dujBmzLU0atQQLy9PLBYLqalpHDoUxZdfLiEhIdFZ4VeI8ly31bTr3rLkZvfuvQ697jUFBzcuuJKg5erWq1d3Hn10KrGxZ9i6dQfJySnUqlWLrl07ERbWko8//pxffql5F8aenp7079/HbrvJZKJXr+60a9eGJ598ntOnY50QXdXQpUtHZs58hAMHDlG7dm38/Grz8MMznR2WU/Ts2Y3p0x9i7979HDoUxYUL6UXaDx2KqpE/K08//Rjt27dlzZr1nDhxCovFgq9vLYYPH0KdOv7MnPl0tSygCpnNZoYOHQRAkyaNGDFiGK+99hY7duyy9Zk58xF69OjKli3biY4+Sk5ODsHBQQwZMpCCggKee+4f1e5CsLS8NGvWlObNm9rt5+HhwQ03XMe5c+eYPfvFygy5UpTl5+ViU6feS//+fVixYiWjR49i2bLlfPVVeGWGXCnKkpe//W0aHTq0Y8OGTZw9G0dubm6RY6xZsx6LxVKpcVek0nISGBjAG2+8TEpKKr/+upbU1DTMZjONGzdk2LDBHDoUxYsvvuLMU3C4sl63NWzYoMZd95YlN888M4dWrVqU2Kc8170awazhJk++hcTEJJ59dg65uXm27cuW/cCcOc9y6603sW7db8X+BrW6ysrK4tdf1xq2nT0bR4cO7WjUKKRGFg0ALVo059FHHyIy8jD/+c+b3HPPnfTt29vZYTnNbbfdytat23nrrXnODqVKado0lIiIvXz00WdFtp84cYpZsx4lNLRJtS4wLRaL7XOkZcvmjBgxDG9vb1t727at6dGjK99//yOLFn1dZN8NGzbx73/PYdy4MXzwwSeVGHXFKy0vx47FcOxYjOG+zZo1oXv3bpUQZeUrLS8Xu+22Wxk4sB8ffvgpq1evY/ToUfj4GPe92pXl31HPnt34979fY8+efU6KsnKVlpPQ0Ma4uLiwYMEitm7dUWTf2rVr07Fj+8oMt1KU9bpt0qSba9x1b1ly06BBPYde9+oezBqsXr261K0bTETE3iL/yArt2LELb29vWrZs7oToqqaQkPpMnnwzFouFEydOOTscp6hfvx6PPz6dM2fO8Nprb5GXZ/+zU5MU/js6duw4AQF1bH/8/f0wmUzODs+pzGYTGRkZdtsLt108jbgm6tChHQDbttlPFT516jRnz8ZVywvByzVwYD969uzO8eMnnB2KU1133V+4/vq/8NVXS1m9ep2zw3G6Dh3aYbFYOHPmbJHP4OpacJdF4f896enGn79mc835v+nS6zZd9/6pLNe0l3vdqxHMGszf3w+AlJRUw/bUVOv2OnX8KyukKsvDw50bbxzDddeNpKAA5s9fwJkzZ50dVqXz9/fjqadmkp6ezssvv05mZpazQ3I6P7/agHU2wOTJtxRpy8vLY+vW7Xz00QKysmpervbtO0jHjh3o0KEdZ86cpaCgAG9vb0aOHE52djZRUYedHaJTFX4GF37WXiolJZWwsJaVGVKV1LBhCHfddTvt2rUhNvYs8+Z95OyQnKZfv95MnnwzP/74C8uW/eDscKqEwvu75861n/KZnJzC4sVLWbt2gxMic57Dh4+SlZXFyJHDSElJIT09A5PJRL16dencuSN79x5wdogVzui6rXZtX0DXvWW5pr3S614VmDVYaaMHBQXW23NdXFwqI5wqq1ev7tx++0SCggKJiNjLZ58tqpHFpZubK088MQNXV1defPEVUlPTnB1SlVD47+O771YQGflnwWQymWjduhVjxlzLmTNxLF36nbNCdJqPPvqUp556jGeemVVke3Z2Nm+/PY/z55OdE1gVUfgZXPhZe6mCgoIa/fnr6enJ+PFj+ctfhpOfn094+DK++26F3f11NUXr1q148MF72LRpKwsWLHJ2OFWGi4sLeXl5vP76O0W2u7u7c+21I7j33r+yf/9Bzp1LcFKElS81NZU333yPRx99iB49ik4pj4k5Xu2m3V+quOu2tm1bl7hfTbjuLcs1rSOue1Vg1mCl3fBeOMUiPz+/MsKpcnx8fJg69R66detCfPy5EhdbqAkGDuxP06ah/O9/H2OxWAgIqGNrK1yxLyCgDtnZ2YbTcqqrwv+Qjh8/wa5dEUXadu7cTb9+vWnRopkzQnMqk8nEzJmP4OdXm08++YLExEQslgI8PT3p3bs706Y9wKuvzuXAgUPODtVpCj+Di5tKbTKZauznb9u2rXn44fsJCKjDtm2/8/nnX1a7xY7Ka/Lkm8nMzGTJkm+LfP4W8vDwICCgDqmpaTXu1gWLpcDu8xcgPT2dZ56ZRfPmTWtUgdmsWSiPPDKVAwcOsXnzVjIyMjGZTAQE1GH06FE89dRM/v73fxpOE72alXbdVpOve8tyTevI614VmDVYcnIK8OcUv0vVrm3dXlNHGf72t4dp3brVH781X17tPojLq/Dn5f777yq2z9tv/5d1635j3rz5lRWW0xUuBHDpsviFsrOzcXd3r8yQqoSmTZvQpk0YH3zwCWvWrC/StnnzVubNe5MRI4bW6AKz8N9U7dq1DS9+/fxq18jP35CQBjzxxAxSU9P417/+w7591X86X1mcP59Mq1YteeONlw3bBw7sx8CB/XjhhZc5eDCykqNznuzsHFxdXTCbzXYFROGtCTXtM3jQoP54eLgzd+47dtcu58+f57HHHqV9+3bs3r3HSRFWjNKu22rydW9Zrmkded2rArMGi4uLJz7+HF26dMLNzdXuB6lnz25kZGQQHX3USRE6T4MG9WnXrg2LFy/l2291nwtYR+NmzXqWunWD7UZcrr12BG3ahPH66++QmJjkpAid48yZs+Tl5dG6dSu7+3xMJhO1atWqkVOqwfozYjQV38XF5Y9FJmrOQhNG9u07wLhxY+jVqztHjhT9nG3cuCH169dj3brfnBSd8wwc2A83NzfmzHmJpKTzzg6nynjrrXm0arUKLy8vu7bHH5/O7t17+OWXNZw8WbMWoDt16jRms5mwsJYcOhRVpK2wkKhp98AX/h9t9Pnr6upapE91UZbrtpp63VuW3Dj6ulcFZg23cOFiHn10Kv/85/+xZct2UlJSqVXLh65dO9OyZXM+/vjzarVUc1kV/qcUHBzE8OFDDPvs3Lm7Wv6WqySxsWeIjT1jt71Xr+7FTlGq7jIzs9iwYTODB/fH09OTw4ePkJ2djZubGx07tqN2bV8iIvY6O8xKd+rUac6fT+bmm8cRGBhAUlISBQXg5eVJ166d8fHxYe/e/c4Os0IV/ocN1s8SgHbt2uDm5gbAxo1b2LFjF2PGXEtQUCBHjhwlJyfX9hzMCxfS+eab750Wf0UpLS/+/n5YLBa6du1suH9WVhYbN26pnGArUVl+Xi4toC6WkJBYLT+DS8vL7t17SElJZebMaaxd+xvnziXYnrk7dOggMjOzOHSoei0oVlpOoqOPMnLkcJ566jG2b99JdnY2JpOJOnX8GTp0EBkZGXa/1LralfW6rSZe95YlN4WPH3HUda8pOLix8eoCUmO0a9eGG264jubNm+Lt7U1WVjbHj5/gxx9/YceOnc4Ozynatm3N7NlPlthHU7f+9MADd9O3b2+mTHnA2aE4haurK2PGXEvfvr2oWzcYd3d3MjIyiY+PZ82aDdXuoc1l1bRpE265ZTwtWjTFx8cHs9lMTk4O8fEJbNy4mWXLljs7xAo1aFB/HnzwnmLbH330cc6fT+b66/9Cv359qF+/Li4uLqSkpLJv3wHCw5dVy/vGSsvLunW/MXjwgGLbExOTeOSRWcW2X63K8vNS3H2oCxfOZ9WqNcyfv6CiwnOasuTFzc2NCRPG0qZNa2rX9sVkMpGamkZ09FGWLfuBI0eOVWLEFa8sOenWrQtDhgykfv16eHp6YLFYyMzMJCbmBEuWfFtkUbrqoDzXbTXturesubl0QT6jPmW97lWBKSIiIiIiIg5Rs59yLSIiIiIiIg6jAlNEREREREQcQgWmiIiIiIiIOIQKTBEREREREXEIFZgiIiIiIiLiECowRURERERExCFcnR2AiIjUbF5engwfPoRu3brQsGED2zMzLRYL6enpnD59ht9/38Wvv64jKyvLtl+zZk355z+fL/HYWVnZnDx5kmXLlrNzZ/kfQn/NNUMYP/5GoIAlS5bx669rS+w/d+4rtgefX8pisZCWlkZi4nkiIvayYsVK0tPTbe0PPHB3ic9/TE9P5/z5FKKiDrNixUpiY8/Y2kp7Lt6lXnvtLXbs2FVsuyPPGyArK4uUlFRiYk7w448riYqKLvF4ISH1efjh+6lfvz579+7nvfc+JDs7u8R9rrlmKGPGXIuPjzfbt+9k/vzPyM3NK7Z/Yc7Ono1j5syn7dobN27IyJHDadu2NXXq1MHLy9PwOOHhywgPXwaUnoeLxcSc4Jln/m57Xb9+PcaMuY727dvg7++Pu7ub4X6RkYeZM+elMr2HiIgzqMAUERGnadSoIU88MYOgoEAALly4QGJikq3dy8uTNm3CaNMmjJEjh/PKK29w+nQsAHl5uZw7l1Di8f38atOqVUv+9rdpPP/8Pzl2LKbMsTVrFsqUKbdjsVgwmUzcddftnDhxksOHj5S6b2pqmmFB5OPjTfPmTWnevCkDBvTl+edfJCUltUifzMwsLly4YLevu7s7ISH1adQohP79+/Dqq3M5cOBQkT55eXmcP59canzZ2TnFtlXEeZvNZurU8adevbr07NmNN954p8QCd9q0B2jaNJTs7Gx69epOamoq8+cvKLZ/48YNmTLlNsxmMzk5uQwePAB3dzfeemteqTEbGTXqGm6/fSJms5n8/HxSU9MM/04A0tMz7LYVl4eLJScn275v1qwps2c/gaenJxaLhZSUVFJSjIvji/cTEamKVGCKiIhTuLu7M2vWowQFBbJnzz4++eQLzp6Ns+tXv35dpky5nU6dOvDYY4/w5JPPk5uby8mTp5k+/YkS38PT05MXXniOhg1DGD58MB9+GFPm+MaPH4vZbOajjz6jdm1fbr11PDfddAMvv/x6qfsuWLCIjRu3GLY1axbKU089RnBwEDfddAMff/x5kfYtW7bxwQefGO7r7+/PjBkPERbWkilTbuOJJ2YXaU9ISDQcjSuPijpvV1dX7r77DoYMGci4cWOKLTB79uxO06ahREYe5u235/H66/9myJCBfPvtDyQlnTfcp337tpjNZg4fPsKbb77Hyy+/QN++vdmxYxebN28r+8n/cazbb58IwJdfLmHlytVFRs7LoqQ8GLn99lvx9PRk164I3n33wyIj2yIiVxvdgykiIk4xYEBf6tYNJj09g7femmdYXAKcPRvPW2/NIz09g/r169G/f58yv0dWVhZnzpwFoE4d/zLvV79+Pbp06UR6egYbN25h9er15Obm0rFje0JC6pf5OEaOHTvO5s1bAQgLa1WufZOTk1mx4mfAOvrr4+N9RbFcqiLPOy8vjy1btgPQoEGDYvtdd91IAH75ZTWJiUns3BmBq6srI0YMK3YfHx8fALKzs0lMTCI8/FsA7rhjEt7eXuWK88YbR2M2m1m3biPffbei3MXl5WjRohkAP//8q4pLEbnqqcAUERGn6NSpAwB79uwr9aI6PT2dPXv2AdC5c8cyv0ffvr3p0qUTgK3QLItRo0ZgNpv57bdN5OTkkJaWxvbtOzGbzYwaNaLMxylOWpp1umVx9/WVZV/r/uUrnkpT0edtMplKbG/evCmtW7ciLS2Nbdt+B2D16rUADBs2GDc34/sSL/XTT6uIiTmBv78fkybdXOb43N3dadMmDLCOJFeWnBzrlOXCfxMiIlczFZgiIuIU9evXBSj1PspChf3q1atbat+6dYOZNetRHnnkAVxdXUlJSWHFipVleh9vby8GDeoHwK+/rrNtX7VqDQADBvS74pFDX99agPV+y8vd17p/5hXFcbGKPm9XV1f69u0FQFxcvGGfa6+1FrHr1m0kL896D+KePfuJi4vH17cWAwf2K9N7FRQUMH/+Z1gsFoYOHUSrVi3KtF+9enVxcXEByv5z6QiFC1Bdd91I/v73Zxg6dBB+frUr7f1FRBxJ92CKiIhTeHpaR+9yc3PL1L+wX0lTHt3c3LjhhusYM+Za3N3dATh4MJL33/+o2Pv3LjVs2GA8PT2JjDzMqVOnbdsPHYri9OlYGjYMYejQQfzww09lOt6lQkOb2Aqtw4dLXk31Un5+tbn2WusU0lOnYg0XmLlcjjpvk8nEgw/eQ+vWrWwjlmazGV9fX9vKqIXTfC/m7+9P7949AVi9el2RttWr1zFp0s385S/D7dqKEx19lDVr1jN8+BDuueevPPvsHPLz80vc5+KfrcICtzIsWLAIf38/OnXqQFhYS8LCWmKxWIiJOcGuXRFs27aDkydPl34gEZEqQAWmiIg4RWnTJcu7X/fuXbjjjknUrRsMQFLSeb76KpwNGzaV69iF9/oZFTK//rqOO++cxIgRw1i+/GcKCgoMj3PHHZO45Zab7LZ7e3vbRgETEhJZuvQ7uz59+vSiQ4d2dtvd3d3x9a31x0qpOXz66Rd2ferXr8fChfNLPknsH1PiqPMuPMf+/ftgNv85SSovL4/k5BSOHj3G6tXr2LNnv91+I0cOw9XVlf37D9rdj7tu3W9MmHAjjRs3okOHduzbd6DUcwT48stwevToRpMmjbj++r/w3XcrSux/ccxX4uGH7+fhh+8vsc/FjylJT8/g3/9+jW7dujB06EA6d+6Iq6urbcXh8ePHEh19lIULF3PoUJRDYhQRqSgqMEVExClKKlLKs1+dOv7cd98U272WOTk5LF/+M999t7zEx3EY6dWrO8HBQVy4cMHwHrwNGzZy6603ERwcRM+e3Wz3CV6qdm1fwLfItsLnesbEnGDPnn0sX/5TkfspC3l5eRrem5mRkUFcXDxRUdEsX/5zkVHGQpf7mBJHnTdY75ddvXod11wzFIB33/2A337bXGI8bm6uDBs2GMDwmZupqWns2LGTvn17M2rUiDIXmOnp6SxcuJipU+9l3LgxbNmynfj4c8X2t1gsZTpuacr7mJJCO3fuZufO3Xh6etKhQ1s6depA584dCQ4OomXL5jz33BN8+ulCfvlltUPiFBGpCCowRUTEKQpX5yzrwi2FU14vXtUzNLQxTz8964+CDjZv3saiRV+TkJB4WTEVLmRTq1YtPv30f6X2La7Qeued/5XrMRUXW7NmfbGPKSnN5T6mxFHnXeiTT76gbt1gOnXqwL33TuHMmTiOHDlabP8BA/rZ/g4ffXQqjz46tdi+Xbp0pH79upw9a3wf56U2bNjEkCEDadu2NXfddXuJj1vJyPjznlZX18u/RCrvY0oulZWVxY4du2yjzK1ateCOOybRsmVzJk++mQ0bNlXK6rYiIpdDi/yIiIhTxMVZR5KCg4PK1D8oKBCAM2es0ydNJhPTpz9E7dq+xMaeZc6cl3jrrfcvu7gsXME0Ly+Pc+cSSvxjsVho0yaMpk2bXNZ7VSUVcd4Wi4W5c9/l+PGTuLu7MXPmNAIC6hTbf9SoawA4fz65xPfPyMjAbDYzcuQ15TrH+fMXkJeXR+fOHenbt3ex/eLi4m33aZb157IyFD7fE8DDw4NGjUKcHJGISPE0gikiIk6xd+8+evbsRqdOHfDx8SnxUSU+Pj507mx9hMPu3XsACAtrSf369cjNzeWf/3ylTFNDS1K4gunmzdt4770PS+w7a9Z0unXrzLXXjiy1b1VXUeedmZnFq6++wZw5zxIYGMBjjz3C3//+kt2iTh06tKNx40ZkZWUxa9YzJa6s26tXd2bMeJhBg/rz9ddLy7wK7+nTsaxYsZIbbriOO+6YSETEHsN+OTk5HDoURfv2benTpyd799rfK+osF0+nzskp28JYIiLOoBFMERFxig0bNnHuXAI+Pt5Mm3a/7bEll6pfvy7Tpt2Pt7c3cXHxbNpknXpYOKKZlHT+iovLi1cwNboH8FKFffr06Unt2lfv4yQq+ryTks7zyitvkJGRQbNmTXnwwXvs+hQWuJs2bS21YNyxYxfnzyfj7e3FkCEDS33/iy1d+h3nziXg7+/HPff8ldBQ6yjspe/57bc/YLFYGDx4AGPGXGdb7diZ3NxcmThxPADJySmG99+KiFQVGsEUERGnyM7O4bXX3ubxx6fTuXNHXnvt36SlXShyb5mnp6ftuY/nzyfz2mtvkZtrfXxE4fMKAwMDmDv3lVLfb+PGLSxevNSwrXAF0xMnThIVVfqjQ3bv3sO5cwkEBwcxYsRQwsOXlbpPZQgKCixTLj788FP27t1fKed98uQp3njjXZ54YgZ9+/bi1KnTfPPN94B11dvOnTsCZStwLRYLa9duYNy4MYwcOZyfflpV5sWicnJymDdvPk8//ZjtMTEAkZGHi/Tbv/8gn3/+JbffPpFJkyZwyy3jSElJLfYRJ1u37mDhwsVFthW3ivDFTp+O5ZVX3gBg4sQJRWK6mMlkwt/fD1dXVywWC59++oXDFiMSEakIKjBFRMRpjh8/weOPP8c11wylW7fOhIQ0IDAwwPa4iNzcXKKjj7JrVwQrV/5q+NxHV1fXMt0vV6uWj+H2oiuYlu0ZiwUFBaxZs55bbrmJ4cOHsGzZ8kp9bmJxypoLDw/3Sj3vffsO8OGHn/Lgg/cwfvxYTp2KZfv23xk16hrMZjNHjhzj2LHjZYph9ep1jB17PfXq1aV79y5FHrdSmgMHDvHmm+8zadIE/Pz82L//gGGR/NNPq9i//xB/+ctw2rRpTUCAf7EjmYW/ALmY0SrCl7r4Z9nXt1axf2/5+flcuHCBw4ePsnz5T3YFsYhIVWMKDm58eevEi4iIVJCbbx7HuHFjyMrKZvbsFzh9OtbZIYmIiEgZ6B5MERGpcpYs+ZYDBw7h6enB9OkP4eHh7uyQREREpAxUYIqISJVTUFDA22//j5SUVBo1CuHuu+90dkgiIiJSBpoiKyIiIiIiIg6hEUwRERERERFxCBWYIiIiIiIi4hAqMEVERERERMQhVGCKiIiIiIiIQ6jAFBEREREREYdQgSkiIiIiIiIOoQJTREREREREHEIFpoiIiIiIiDiECkwRERERERFxiP8HJLvHeuVt41QAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "qualiQ2 = season2022QualifyingResults[season2022QualifyingResults['Position'].isin([str(i) for i in range(1,16)])] \\\n",
    "    ['Driver'].value_counts()\n",
    "c = assign_color('drivers', qualiQ2.index)\n",
    "plt.figure(figsize=(10,6))\n",
    "plt.axis([0,22.2,20.6,-0.6])\n",
    "plt.barh([\" \".join(driver.split()[1:]) for driver in qualiQ2.index], qualiQ2, color=c)\n",
    "for i in range(len(qualiQ2)):\n",
    "    plt.text(qualiQ2[i]-0.75, i+0.24, \"{:>2}\".format(qualiQ2[i]), fontsize=12, fontweight='bold', color='k')\n",
    "plt.title(\"Formula 1 - 2022 Season\\n# of Q2 Appearances in Qualifying (Drivers)\", fontsize=19, \n",
    "          fontweight='bold', color='#bbbbbb')\n",
    "plt.xlabel('Q2 APPEARANCES', fontsize=14, fontweight='bold', color='#bbbbbb')\n",
    "plt.ylabel('DRIVERS', fontsize=14, fontweight='bold', color='#bbbbbb')\n",
    "plt.xticks(range(0,23,2), range(0,23,2), color='#bbbbbb')\n",
    "plt.yticks(fontsize=9, color='#bbbbbb')\n",
    "plt.axvline(0, color='#bbbbbb')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6cf2326e",
   "metadata": {},
   "source": [
    "Wow! Total of 6 drivers, who are **Leclerc**, **Russell**, **Sainz**, **Perez**, **Norris** and **Verstappen**, achieved to appear in Q2 in all qualifying sessions!\n",
    "\n",
    "**Hamilton** failed to do it once, in **Saudi Arabia GP**, where he was placed in 16th place! Likewise, we did not see **Alonso** to move into Q2 in Spain, his final result was P17!\n",
    "\n",
    "All in all, every driver of 2022 Season grid, including reserve driver De Vries, have seen the Q2 section of qualifying sessions **at least once!** Among all of full-season racers; ahh, poor **Latifi**, he got the least amount of Q2 appearances, only 1 (in Great Britain GP).\n",
    "\n",
    "Then, let's bring it further by analyzing **the number of occurrences in Q3** of qualifying for all drivers in 2022 Season:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "4c5cbc6c",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "qualiQ3 = season2022QualifyingResults[season2022QualifyingResults['Position'].isin([str(i) for i in range(1,11)])] \\\n",
    "    ['Driver'].value_counts()\n",
    "c = assign_color('drivers', qualiQ3.index)\n",
    "plt.figure(figsize=(10,6))\n",
    "plt.axis([0,22.2,19.6,-0.6])\n",
    "plt.barh([\" \".join(driver.split()[1:]) for driver in qualiQ3.index], qualiQ3, color=c)\n",
    "for i in range(len(qualiQ3)):\n",
    "    plt.text(qualiQ3[i]-0.75, i+0.24, \"{:>2}\".format(qualiQ3[i]), fontsize=12, fontweight='bold', color='k')\n",
    "plt.title(\"Formula 1 - 2022 Season\\n# of Q3 Appearances in Qualifying (Drivers)\", fontsize=19, \n",
    "          fontweight='bold', color='#bbbbbb')\n",
    "plt.xlabel('Q3 APPEARANCES', fontsize=14, fontweight='bold', color='#bbbbbb')\n",
    "plt.ylabel('DRIVERS', fontsize=14, fontweight='bold', color='#bbbbbb')\n",
    "plt.xticks(range(0,23,2), range(0,23,2), color='#bbbbbb')\n",
    "plt.yticks(fontsize=9, color='#bbbbbb')\n",
    "plt.axvline(0, color='#bbbbbb')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "707062db",
   "metadata": {},
   "source": [
    "Oh, look at that! **Sainz** and **Verstappen** appeared in all 22 qualifying sessions of 2022! That means, these two drivers always got the chance to fight for pole position! In addition, **Leclerc** has followed them with one less appearance (the failure came from **Canadian GP**).\n",
    "\n",
    "**Checo Perez**, unlike Verstappen, has failed to advance into Q3 by a total of three times; these Grands Prix were **Canada**, **Austria** and **Hungary**.\n",
    "\n",
    "If we see the bottom, **both Williams drivers** have achieved to got through the Q3 only **once** in the whole season! Latifi and Albon earned the chance for pole position challenge in **Great Britain** and **Belgium**, respectively.\n",
    "\n",
    "In the big picture, similar to Q2 visualization, all drivers experienced the progression to Q3 at least one time in all qualifying sessions of 2022 Season."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fc526066",
   "metadata": {},
   "source": [
    "## 2022 Season - DNF Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "47c929be",
   "metadata": {},
   "source": [
    "The next section of the analyses will be about **DNFs** _(Did Not Finish)._ You know, it might be shameful for any driver to retire from any race because of the reasons such as self-driving mistakes ending up hitting the barriers or being stuck at sandpool, receiving performance-impacting damages by collision with other rivals or mechanical failures (e.g. engine, transmission).\n",
    "\n",
    "This bar chart below tells us the total number of DNFs of all drivers experienced in 2022 Season:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "2bd44c82",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 900x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "DNFdriver = season2022RaceResults[season2022RaceResults['Time/Retired'] == 'DNF']['Driver'].value_counts()\n",
    "c = assign_color('drivers', DNFdriver.index)\n",
    "plt.figure(figsize=(9,6))\n",
    "plt.axis([0,6.1,19.6,-0.6])\n",
    "plt.barh([driver.split()[1] for driver in DNFdriver.index], DNFdriver, color=c)\n",
    "for i in range(len(DNFdriver)):\n",
    "    plt.text(DNFdriver[i]-0.17, i+0.22, DNFdriver[i], fontsize=12, fontweight='bold', color='k')\n",
    "plt.title('Formula 1 - 2022 Season\\n# of DNFs in Races (Drivers)', fontsize=19, fontweight='bold', color='#bbbbbb')\n",
    "plt.xlabel('DNFs', fontsize=14, fontweight='bold', color='#bbbbbb')\n",
    "plt.ylabel('DRIVERS', fontsize=14, fontweight='bold', color='#bbbbbb')\n",
    "plt.xticks(color='#bbbbbb')\n",
    "plt.yticks(color='#bbbbbb', fontsize=9)\n",
    "plt.axvline(0, color='#bbbbbb')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c16c2da8",
   "metadata": {},
   "source": [
    "From here, all drivers in F1 grid (except reserve drivers) became the victim of DNF **at least once** in all races of the 2022 Season calendar!\n",
    "\n",
    "With specific inspection, we see that **Bottas** from Alfa Romeo, **Alonso** from Alpine and **Sainz** from Ferrari had the most DNFs in this season, which was **six times!** Then, these five drivers **Magnussen**, **Zhou**, **Tsunoda**, **Albon** and **Latifi** form the group of **five DNFs.**\n",
    "\n",
    "Even **Verstappen** failed to complete two different races; these are **Bahrain** and **Australia**, the 1st and 3rd races of the season, respectively.\n",
    "\n",
    "Only **George Russell** had the least amount of DNFs in the whole season; just **one race** which came from the first lap of **Great Britain GP**.\n",
    "\n",
    "And, with regards to teams, **Mercedes** had their cars not seeing the chequered flag a total of **three times**. In other words, drivers of the German team succeeded to complete races the most number of times than any other teams!"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d2e7d6ff",
   "metadata": {},
   "source": [
    "Now, let's count the DNFs according to different race tracks of 2022 calendar:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "8d10e0ea",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 900x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "DNFtrack = season2022RaceResults[season2022RaceResults['Time/Retired'] == 'DNF']['Track'].value_counts()\n",
    "plt.figure(figsize=(9,6))\n",
    "plt.axis([0,6.1,21.6,-0.6])\n",
    "plt.barh(DNFtrack.index, DNFtrack, color='#6abeca')\n",
    "plt.title('Formula 1 - 2022 Season\\n# of DNFs in Races (Tracks)', fontsize=19, fontweight='bold', color='#bbbbbb')\n",
    "for i in range(len(DNFtrack)):\n",
    "    plt.text(DNFtrack[i]-0.18, i+0.22, DNFtrack[i], fontsize=12, fontweight='bold', color='k')\n",
    "plt.xlabel('DNFs', fontsize=14, fontweight='bold', color='#bbbbbb')\n",
    "plt.ylabel('TRACKS', fontsize=14, fontweight='bold', color='#bbbbbb')\n",
    "plt.xticks(color='#bbbbbb')\n",
    "plt.yticks(color='#bbbbbb', fontsize=9)\n",
    "plt.axvline(0, color='#bbbbbb')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "94068a29",
   "metadata": {},
   "source": [
    "Within the 22-race long 2022 Season, we saw at least one driver becoming DNF, according to the bar chart above.\n",
    "\n",
    "Among all of them, **Singapore** and **Great Britain** Grands Prix experienced the most DNFs this season, total of 6. Then, spectators in **Miami**, **Azerbaijan** and **Saudi Arabia** saw **five** different drivers not completing the races individually.\n",
    "\n",
    "On the other hand, only **Hungary GP** had the most runners completing the race this season; the only DNF came from **Valtteri Bottas** (Alfa Romeo) with a couple of laps remaining."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "df71fc4f",
   "metadata": {},
   "source": [
    "Beyond these DNFs, there are DNS _(Did Not Start)_ incidents happened, such that **the cars were not in good shape sufficiently** to participate in the starting grid of the race session, due to serious damage occurred from the previous sessions and there wasn't enough time to fix everything; surely, this was disappointing for such drivers.\n",
    "\n",
    "From the list below, only total of **two DNS**es appeared in 2022 Season and they were from the same race weekend, **Saudi Arabia GP**. Tsunoda and Schumacher were not able to race there completely!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "67b6110c",
   "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>Position</th>\n",
       "      <th>No</th>\n",
       "      <th>Driver</th>\n",
       "      <th>Team</th>\n",
       "      <th>Starting Grid</th>\n",
       "      <th>Laps</th>\n",
       "      <th>Time/Retired</th>\n",
       "      <th>Points</th>\n",
       "      <th>+1 Pt</th>\n",
       "      <th>Fastest Lap</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Track</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Saudi Arabia</th>\n",
       "      <td>NC</td>\n",
       "      <td>22</td>\n",
       "      <td>Yuki Tsunoda</td>\n",
       "      <td>AlphaTauri RBPT</td>\n",
       "      <td>19</td>\n",
       "      <td>0</td>\n",
       "      <td>DNS</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Saudi Arabia</th>\n",
       "      <td>NC</td>\n",
       "      <td>47</td>\n",
       "      <td>Mick Schumacher</td>\n",
       "      <td>Haas Ferrari</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>DNS</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Position  No           Driver             Team  Starting Grid  \\\n",
       "Track                                                                        \n",
       "Saudi Arabia       NC  22     Yuki Tsunoda  AlphaTauri RBPT             19   \n",
       "Saudi Arabia       NC  47  Mick Schumacher     Haas Ferrari             20   \n",
       "\n",
       "              Laps Time/Retired  Points +1 Pt Fastest Lap  \n",
       "Track                                                      \n",
       "Saudi Arabia     0          DNS       0    No         NaN  \n",
       "Saudi Arabia     0          DNS       0    No         NaN  "
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "season2022RaceResults[season2022RaceResults['Time/Retired'] == 'DNS'].set_index('Track')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cacc013d",
   "metadata": {},
   "source": [
    "And, another remarkable fact to show here is that there were such incidents where the drivers became DNF, but classified in the race results by traveling **more than 90% of the race distance**.\n",
    "\n",
    "The list below indicates that total of **10 different drivers** individually had this aforementioned incident. Perhaps, the most attractive ones should be coming from **Perez** and **Verstappen** in Bahrain, due to the issues they got in the closing section of the race; and consequently, they were classified in **18th** and **19th** places, respectively."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "dccd8e6a",
   "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>Position</th>\n",
       "      <th>No</th>\n",
       "      <th>Driver</th>\n",
       "      <th>Team</th>\n",
       "      <th>Starting Grid</th>\n",
       "      <th>Laps</th>\n",
       "      <th>Time/Retired</th>\n",
       "      <th>Points</th>\n",
       "      <th>+1 Pt</th>\n",
       "      <th>Fastest Lap</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Track</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Bahrain</th>\n",
       "      <td>18</td>\n",
       "      <td>11</td>\n",
       "      <td>Sergio Perez</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>4</td>\n",
       "      <td>56</td>\n",
       "      <td>DNF</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>1:36.089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bahrain</th>\n",
       "      <td>19</td>\n",
       "      <td>1</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>Red Bull Racing RBPT</td>\n",
       "      <td>2</td>\n",
       "      <td>54</td>\n",
       "      <td>DNF</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>1:35.440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Saudi Arabia</th>\n",
       "      <td>14</td>\n",
       "      <td>23</td>\n",
       "      <td>Alexander Albon</td>\n",
       "      <td>Williams Mercedes</td>\n",
       "      <td>16</td>\n",
       "      <td>47</td>\n",
       "      <td>DNF</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>1:34.368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Miami</th>\n",
       "      <td>16</td>\n",
       "      <td>20</td>\n",
       "      <td>Kevin Magnussen</td>\n",
       "      <td>Haas Ferrari</td>\n",
       "      <td>16</td>\n",
       "      <td>56</td>\n",
       "      <td>DNF</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>1:33.511</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Miami</th>\n",
       "      <td>17</td>\n",
       "      <td>5</td>\n",
       "      <td>Sebastian Vettel</td>\n",
       "      <td>Aston Martin Aramco Mercedes</td>\n",
       "      <td>13</td>\n",
       "      <td>54</td>\n",
       "      <td>DNF</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>1:33.479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Azerbaijan</th>\n",
       "      <td>16</td>\n",
       "      <td>18</td>\n",
       "      <td>Lance Stroll</td>\n",
       "      <td>Aston Martin Aramco Mercedes</td>\n",
       "      <td>19</td>\n",
       "      <td>46</td>\n",
       "      <td>DNF</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>1:48.038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hungary</th>\n",
       "      <td>20</td>\n",
       "      <td>77</td>\n",
       "      <td>Valtteri Bottas</td>\n",
       "      <td>Alfa Romeo Ferrari</td>\n",
       "      <td>8</td>\n",
       "      <td>65</td>\n",
       "      <td>DNF</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>1:24.002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mexico</th>\n",
       "      <td>19</td>\n",
       "      <td>14</td>\n",
       "      <td>Fernando Alonso</td>\n",
       "      <td>Alpine Renault</td>\n",
       "      <td>9</td>\n",
       "      <td>63</td>\n",
       "      <td>DNF</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>1:22.866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Abu Dhabi</th>\n",
       "      <td>18</td>\n",
       "      <td>44</td>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>5</td>\n",
       "      <td>55</td>\n",
       "      <td>DNF</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>1:29.788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Abu Dhabi</th>\n",
       "      <td>19</td>\n",
       "      <td>6</td>\n",
       "      <td>Nicholas Latifi</td>\n",
       "      <td>Williams Mercedes</td>\n",
       "      <td>20</td>\n",
       "      <td>55</td>\n",
       "      <td>DNF</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>1:30.309</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Position  No            Driver                          Team  \\\n",
       "Track                                                                       \n",
       "Bahrain            18  11      Sergio Perez          Red Bull Racing RBPT   \n",
       "Bahrain            19   1    Max Verstappen          Red Bull Racing RBPT   \n",
       "Saudi Arabia       14  23   Alexander Albon             Williams Mercedes   \n",
       "Miami              16  20   Kevin Magnussen                  Haas Ferrari   \n",
       "Miami              17   5  Sebastian Vettel  Aston Martin Aramco Mercedes   \n",
       "Azerbaijan         16  18      Lance Stroll  Aston Martin Aramco Mercedes   \n",
       "Hungary            20  77   Valtteri Bottas            Alfa Romeo Ferrari   \n",
       "Mexico             19  14   Fernando Alonso                Alpine Renault   \n",
       "Abu Dhabi          18  44    Lewis Hamilton                      Mercedes   \n",
       "Abu Dhabi          19   6   Nicholas Latifi             Williams Mercedes   \n",
       "\n",
       "              Starting Grid  Laps Time/Retired  Points +1 Pt Fastest Lap  \n",
       "Track                                                                     \n",
       "Bahrain                   4    56          DNF       0    No    1:36.089  \n",
       "Bahrain                   2    54          DNF       0    No    1:35.440  \n",
       "Saudi Arabia             16    47          DNF       0    No    1:34.368  \n",
       "Miami                    16    56          DNF       0    No    1:33.511  \n",
       "Miami                    13    54          DNF       0    No    1:33.479  \n",
       "Azerbaijan               19    46          DNF       0    No    1:48.038  \n",
       "Hungary                   8    65          DNF       0    No    1:24.002  \n",
       "Mexico                    9    63          DNF       0    No    1:22.866  \n",
       "Abu Dhabi                 5    55          DNF       0    No    1:29.788  \n",
       "Abu Dhabi                20    55          DNF       0    No    1:30.309  "
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "season2022RaceResults[(season2022RaceResults['Time/Retired'] == 'DNF') & (season2022RaceResults['Position'] != 'NC')] \\\n",
    "    .set_index('Track')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "df71b923",
   "metadata": {},
   "source": [
    "## 2022 Season - Driver of the Day Votes"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5edee9e9",
   "metadata": {},
   "source": [
    "Here comes the new section of F1 Data Analyses for the first time, **Driver of the Day Votes**. As you know, during the race session on Sunday, especially after when there are less than 20 laps remaining, a notification appears on the screen, telling you that you can **vote for any driver from F1's official web site** to place to the top of the list; and upon race completion, that driver who earned the DotD is announced.\n",
    "\n",
    "No points are offered for the driver who was selected as Driver of the Day for any race. Nevertheless, it is a **good accolade** for them to remember, due to performing the best superb driving, amazing overtakes against rivals or just nice memorial things.\n",
    "\n",
    "Below you can observe the complete list of Driver of the Day votes of all races in 2022 Season, including drivers in top 5 and their vote percentages:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "f2777de8",
   "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>1st Place</th>\n",
       "      <th>1st Place(%)</th>\n",
       "      <th>2nd Place</th>\n",
       "      <th>2nd Place(%)</th>\n",
       "      <th>3rd Place</th>\n",
       "      <th>3rd Place(%)</th>\n",
       "      <th>4th Place</th>\n",
       "      <th>4th Place(%)</th>\n",
       "      <th>5th Place</th>\n",
       "      <th>5th Place(%)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Track</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Bahrain</th>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>28.3</td>\n",
       "      <td>Kevin Magnussen</td>\n",
       "      <td>22.5</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>9.0</td>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>5.1</td>\n",
       "      <td>Guanyu Zhou</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Saudi Arabia</th>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>26.8</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>14.5</td>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>10.1</td>\n",
       "      <td>Sergio Perez</td>\n",
       "      <td>9.5</td>\n",
       "      <td>Kevin Magnussen</td>\n",
       "      <td>7.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Australia</th>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>19.7</td>\n",
       "      <td>Sergio Perez</td>\n",
       "      <td>14.8</td>\n",
       "      <td>Daniel Ricciardo</td>\n",
       "      <td>9.4</td>\n",
       "      <td>George Russell</td>\n",
       "      <td>9.3</td>\n",
       "      <td>Alexander Albon</td>\n",
       "      <td>8.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Emilia Romagna</th>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>14.7</td>\n",
       "      <td>Sergio Perez</td>\n",
       "      <td>11.5</td>\n",
       "      <td>Lando Norris</td>\n",
       "      <td>11.0</td>\n",
       "      <td>George Russell</td>\n",
       "      <td>9.3</td>\n",
       "      <td>Yuki Tsunoda</td>\n",
       "      <td>8.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Miami</th>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>18.0</td>\n",
       "      <td>Mick Schumacher</td>\n",
       "      <td>14.5</td>\n",
       "      <td>George Russell</td>\n",
       "      <td>12.7</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>8.6</td>\n",
       "      <td>Sergio Perez</td>\n",
       "      <td>7.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Spain</th>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>22.8</td>\n",
       "      <td>Sergio Perez</td>\n",
       "      <td>16.3</td>\n",
       "      <td>George Russell</td>\n",
       "      <td>15.7</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>11.4</td>\n",
       "      <td>Fernando Alonso</td>\n",
       "      <td>6.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Monaco</th>\n",
       "      <td>Sergio Perez</td>\n",
       "      <td>27.6</td>\n",
       "      <td>Pierre Gasly</td>\n",
       "      <td>10.5</td>\n",
       "      <td>Carlos Sainz</td>\n",
       "      <td>9.9</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>8.8</td>\n",
       "      <td>Fernando Alonso</td>\n",
       "      <td>7.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Azerbaijan</th>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>14.8</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>13.6</td>\n",
       "      <td>Sebastian Vettel</td>\n",
       "      <td>13.1</td>\n",
       "      <td>Sergio Perez</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Pierre Gasly</td>\n",
       "      <td>9.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Canada</th>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>21.6</td>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>11.9</td>\n",
       "      <td>Carlos Sainz</td>\n",
       "      <td>10.6</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>10.2</td>\n",
       "      <td>Fernando Alonso</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Great Britain</th>\n",
       "      <td>Sergio Perez</td>\n",
       "      <td>20.7</td>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>20.0</td>\n",
       "      <td>Carlos Sainz</td>\n",
       "      <td>11.1</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>9.0</td>\n",
       "      <td>Mick Schumacher</td>\n",
       "      <td>7.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Austria</th>\n",
       "      <td>Mick Schumacher</td>\n",
       "      <td>24.5</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>15.3</td>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>10.1</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>9.6</td>\n",
       "      <td>Carlos Sainz</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>France</th>\n",
       "      <td>Carlos Sainz</td>\n",
       "      <td>40.4</td>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>13.0</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>10.7</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>6.4</td>\n",
       "      <td>Sergio Perez</td>\n",
       "      <td>5.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hungary</th>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>34.2</td>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>16.4</td>\n",
       "      <td>George Russell</td>\n",
       "      <td>11.0</td>\n",
       "      <td>Sebastian Vettel</td>\n",
       "      <td>8.7</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>6.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Belgium</th>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>31.9</td>\n",
       "      <td>Sebastian Vettel</td>\n",
       "      <td>7.6</td>\n",
       "      <td>Alexander Albon</td>\n",
       "      <td>6.8</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>6.5</td>\n",
       "      <td>George Russell</td>\n",
       "      <td>6.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Netherlands</th>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>22.6</td>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>20.1</td>\n",
       "      <td>George Russell</td>\n",
       "      <td>9.5</td>\n",
       "      <td>Fernando Alonso</td>\n",
       "      <td>8.8</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>6.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Italy</th>\n",
       "      <td>Nyck De Vries</td>\n",
       "      <td>24.8</td>\n",
       "      <td>Carlos Sainz</td>\n",
       "      <td>21.1</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>13.2</td>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>11.1</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>7.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Singapore</th>\n",
       "      <td>Sergio Perez</td>\n",
       "      <td>22.6</td>\n",
       "      <td>Daniel Ricciardo</td>\n",
       "      <td>16.8</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>9.6</td>\n",
       "      <td>Lando Norris</td>\n",
       "      <td>9.4</td>\n",
       "      <td>Sebastian Vettel</td>\n",
       "      <td>7.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Japan</th>\n",
       "      <td>Sebastian Vettel</td>\n",
       "      <td>16.3</td>\n",
       "      <td>Esteban Ocon</td>\n",
       "      <td>14.5</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>13.2</td>\n",
       "      <td>Nicholas Latifi</td>\n",
       "      <td>9.7</td>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>7.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>United States</th>\n",
       "      <td>Sebastian Vettel</td>\n",
       "      <td>18.4</td>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>18.0</td>\n",
       "      <td>Fernando Alonso</td>\n",
       "      <td>15.0</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>10.3</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>10.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mexico</th>\n",
       "      <td>Daniel Ricciardo</td>\n",
       "      <td>24.4</td>\n",
       "      <td>Sergio Perez</td>\n",
       "      <td>16.7</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>12.0</td>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>10.6</td>\n",
       "      <td>Sebastian Vettel</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brazil</th>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>17.1</td>\n",
       "      <td>Fernando Alonso</td>\n",
       "      <td>16.0</td>\n",
       "      <td>George Russell</td>\n",
       "      <td>12.5</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>11.3</td>\n",
       "      <td>Carlos Sainz</td>\n",
       "      <td>6.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Abu Dhabi</th>\n",
       "      <td>Sebastian Vettel</td>\n",
       "      <td>56.6</td>\n",
       "      <td>Sergio Perez</td>\n",
       "      <td>9.1</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>6.5</td>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>5.5</td>\n",
       "      <td>Daniel Ricciardo</td>\n",
       "      <td>4.8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       1st Place  1st Place(%)         2nd Place  \\\n",
       "Track                                                              \n",
       "Bahrain          Charles Leclerc          28.3   Kevin Magnussen   \n",
       "Saudi Arabia     Charles Leclerc          26.8    Max Verstappen   \n",
       "Australia        Charles Leclerc          19.7      Sergio Perez   \n",
       "Emilia Romagna    Max Verstappen          14.7      Sergio Perez   \n",
       "Miami             Max Verstappen          18.0   Mick Schumacher   \n",
       "Spain             Lewis Hamilton          22.8      Sergio Perez   \n",
       "Monaco              Sergio Perez          27.6      Pierre Gasly   \n",
       "Azerbaijan        Lewis Hamilton          14.8    Max Verstappen   \n",
       "Canada           Charles Leclerc          21.6    Lewis Hamilton   \n",
       "Great Britain       Sergio Perez          20.7    Lewis Hamilton   \n",
       "Austria          Mick Schumacher          24.5   Charles Leclerc   \n",
       "France              Carlos Sainz          40.4    Lewis Hamilton   \n",
       "Hungary           Max Verstappen          34.2    Lewis Hamilton   \n",
       "Belgium           Max Verstappen          31.9  Sebastian Vettel   \n",
       "Netherlands       Max Verstappen          22.6    Lewis Hamilton   \n",
       "Italy              Nyck De Vries          24.8      Carlos Sainz   \n",
       "Singapore           Sergio Perez          22.6  Daniel Ricciardo   \n",
       "Japan           Sebastian Vettel          16.3      Esteban Ocon   \n",
       "United States   Sebastian Vettel          18.4    Lewis Hamilton   \n",
       "Mexico          Daniel Ricciardo          24.4      Sergio Perez   \n",
       "Brazil            Lewis Hamilton          17.1   Fernando Alonso   \n",
       "Abu Dhabi       Sebastian Vettel          56.6      Sergio Perez   \n",
       "\n",
       "                2nd Place(%)         3rd Place  3rd Place(%)  \\\n",
       "Track                                                          \n",
       "Bahrain                 22.5    Max Verstappen           9.0   \n",
       "Saudi Arabia            14.5    Lewis Hamilton          10.1   \n",
       "Australia               14.8  Daniel Ricciardo           9.4   \n",
       "Emilia Romagna          11.5      Lando Norris          11.0   \n",
       "Miami                   14.5    George Russell          12.7   \n",
       "Spain                   16.3    George Russell          15.7   \n",
       "Monaco                  10.5      Carlos Sainz           9.9   \n",
       "Azerbaijan              13.6  Sebastian Vettel          13.1   \n",
       "Canada                  11.9      Carlos Sainz          10.6   \n",
       "Great Britain           20.0      Carlos Sainz          11.1   \n",
       "Austria                 15.3    Lewis Hamilton          10.1   \n",
       "France                  13.0    Max Verstappen          10.7   \n",
       "Hungary                 16.4    George Russell          11.0   \n",
       "Belgium                  7.6   Alexander Albon           6.8   \n",
       "Netherlands             20.1    George Russell           9.5   \n",
       "Italy                   21.1    Max Verstappen          13.2   \n",
       "Singapore               16.8   Charles Leclerc           9.6   \n",
       "Japan                   14.5    Max Verstappen          13.2   \n",
       "United States           18.0   Fernando Alonso          15.0   \n",
       "Mexico                  16.7    Max Verstappen          12.0   \n",
       "Brazil                  16.0    George Russell          12.5   \n",
       "Abu Dhabi                9.1   Charles Leclerc           6.5   \n",
       "\n",
       "                       4th Place  4th Place(%)         5th Place  5th Place(%)  \n",
       "Track                                                                           \n",
       "Bahrain           Lewis Hamilton           5.1       Guanyu Zhou           5.0  \n",
       "Saudi Arabia        Sergio Perez           9.5   Kevin Magnussen           7.5  \n",
       "Australia         George Russell           9.3   Alexander Albon           8.2  \n",
       "Emilia Romagna    George Russell           9.3      Yuki Tsunoda           8.7  \n",
       "Miami            Charles Leclerc           8.6      Sergio Perez           7.6  \n",
       "Spain             Max Verstappen          11.4   Fernando Alonso           6.9  \n",
       "Monaco           Charles Leclerc           8.8   Fernando Alonso           7.4  \n",
       "Azerbaijan          Sergio Perez          10.0      Pierre Gasly           9.3  \n",
       "Canada            Max Verstappen          10.2   Fernando Alonso           6.0  \n",
       "Great Britain    Charles Leclerc           9.0   Mick Schumacher           7.1  \n",
       "Austria           Max Verstappen           9.6      Carlos Sainz           8.0  \n",
       "France           Charles Leclerc           6.4      Sergio Perez           5.4  \n",
       "Hungary         Sebastian Vettel           8.7   Charles Leclerc           6.6  \n",
       "Belgium          Charles Leclerc           6.5    George Russell           6.4  \n",
       "Netherlands      Fernando Alonso           8.8   Charles Leclerc           6.9  \n",
       "Italy             Lewis Hamilton          11.1   Charles Leclerc           7.4  \n",
       "Singapore           Lando Norris           9.4  Sebastian Vettel           7.9  \n",
       "Japan            Nicholas Latifi           9.7    Lewis Hamilton           7.3  \n",
       "United States    Charles Leclerc          10.3    Max Verstappen          10.2  \n",
       "Mexico            Lewis Hamilton          10.6  Sebastian Vettel           5.0  \n",
       "Brazil           Charles Leclerc          11.3      Carlos Sainz           6.4  \n",
       "Abu Dhabi         Lewis Hamilton           5.5  Daniel Ricciardo           4.8  "
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "season2022DotdVotes"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bba07ea0",
   "metadata": {},
   "source": [
    "From this list above, we can make these clear implications:\n",
    "\n",
    "* **Charles Leclerc** has been selected as DotD **for the first three race weekends**, thanks to his great driving performed during the sessions of these, thus making Ferrari crew and Tifosi proud in this way.\n",
    "* **Mick Schumacher** was the DotD in Austria, because he successfully finished P6 (also this was his best finishing position in 2022 Season), so the crowd must be very pleased to see his great actions on the track and honor him for finishing high.\n",
    "* The drivers' champion **Max Verstappen** earned this accolade three consecutive time in the middle of the season (Hungary, Belgium & Netherlands).\n",
    "* In Italy, **Nyck De Vries** was the Driver of the Day! Although this was his one-off chance to drive for Williams in Alexander Albon's place, his awesome driving both in qualifying (making to Q3) and race (earning two points by finishing P9) sessions has really attracted all the spectators to give the votes for the Dutch driver.\n",
    "* In Abu Dhabi, this was **Sebastian Vettel's last race in his F1 career** before the retirement, hence all the fans around the world wanted to give the 4-times world champion a meaningful farewell gift by selecting as DotD logically. It was unbeliveable to see that the vote percentage on him **exceeded 50 percent**!\n",
    "\n",
    "The bar chart below shows the drivers and their total number of Driver of the Day awards in 2022:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "c4661567",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 900x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "DotdAwards = season2022DotdVotes['1st Place'].value_counts()\n",
    "c = assign_color('drivers', DotdAwards.index)\n",
    "plt.figure(figsize=(9,5))\n",
    "plt.axis([0,5.1,8.5,-0.5])\n",
    "plt.barh([\" \".join(driver.split()[1:]) for driver in DotdAwards.index], DotdAwards, color=c)\n",
    "for i in range(len(DotdAwards)):\n",
    "    plt.text(DotdAwards[i]-0.18, i+0.2, DotdAwards[i], fontsize=16, fontweight='bold', color='k')\n",
    "plt.title('Formula 1 - 2022 Season\\n# of Driver of the Day Awards (Drivers)', fontsize=19, fontweight='bold', color='#bbbbbb')\n",
    "plt.xlabel('DotD AWARDS', fontsize=14, fontweight='bold', color='#bbbbbb')\n",
    "plt.ylabel('DRIVERS', fontsize=14, fontweight='bold', color='#bbbbbb')\n",
    "plt.xticks(color='#bbbbbb')\n",
    "plt.yticks(color='#bbbbbb')\n",
    "plt.axvline(0, color='#bbbbbb')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "df2f6301",
   "metadata": {},
   "source": [
    "According to the visual above, Max Verstappen also appeared as **the most Driver of the Day award winner (5)** in 2022! Then, his close rival Charles Leclerc came after with a total of 4.\n",
    "\n",
    "Hamilton, Perez and Vettel together earned this award with equal amount, which is 3. Meanwhile, These four drivers Schumacher, Sainz, De Vries and Ricciardo have got the opportunity to get this award once.\n",
    "\n",
    "All in all, total of **9 different drivers** became the Driver of the Day in all race weekends. Now, let's count all the drivers who were enlisted in the top 5 of the DotD table above:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "47220f4b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 950x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "DotdAppearance = {}\n",
    "for place in range(5):\n",
    "    for driver in range(len(season2022DotdVotes)):\n",
    "        d = season2022DotdVotes.iloc[driver,place*2]\n",
    "        if d not in DotdAppearance.keys():   DotdAppearance[d] = 1\n",
    "        else:   DotdAppearance[d] += 1\n",
    "DotdAppearanceDf = pd.Series(DotdAppearance).sort_values(ascending=False)\n",
    "c = assign_color('drivers', DotdAppearanceDf.index)\n",
    "plt.figure(figsize=(9.5,6))\n",
    "plt.axis([0,17.2,18.5,-0.5])\n",
    "plt.barh([\" \".join(driver.split()[1:]) for driver in DotdAppearanceDf.index], DotdAppearanceDf, color=c)\n",
    "for i in range(len(DotdAppearanceDf)):\n",
    "    plt.text(DotdAppearanceDf[i]-0.7, i+0.25, \"{:>3}\".format(DotdAppearanceDf[i]), fontsize=12, fontweight='bold', color='k')\n",
    "plt.title('Formula 1 - 2022 Season\\n# of Appearances in Driver of the Day Votes (Drivers)', fontsize=18, \n",
    "          fontweight='bold', color='#bbbbbb')\n",
    "plt.xlabel('DotD APPEARANCES', fontsize=14, fontweight='bold', color='#bbbbbb')\n",
    "plt.ylabel('DRIVERS', fontsize=14, fontweight='bold', color='#bbbbbb')\n",
    "plt.xticks(color='#bbbbbb')\n",
    "plt.yticks(color='#bbbbbb', fontsize=9)\n",
    "plt.axvline(0, color='#bbbbbb')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d3be89ea",
   "metadata": {},
   "source": [
    "Here, Charles Leclerc appeared in **17 different races'** Driver of the Day votes, which was the highest in 2022 Season, overtaking Hamilton and Verstappen by one race. Sergio Perez was another driver who achieved to get to the top 5 of DotD list **more than 10 times**.\n",
    "\n",
    "If you carefully observe the above bar chart, especially the driver names (except reserved ones), there are two drivers who didn't find themselves in Driver of the Day list! Yep, these are **Valtteri Bottas** from Alfa Romeo and **Lance Stroll** from Aston Martin."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8e1dd415",
   "metadata": {},
   "source": [
    "## 2022 Season - Total Laps & Distance Driven in Race Sessions\n",
    "\n",
    "Last but not least, let's move on to explore an interesting fact: Have you ever wondered **how many laps** and **how much distance** did all drivers and teams drive in all Sunday's race session this season?\n",
    "\n",
    "First, take a look at the visual below for getting the numbers about total laps driven according to all drivers _(reserve drivers were not included):_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "3a0890f9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA5UAAAJICAYAAADxf8CWAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjYuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/av/WaAAAACXBIWXMAAA9hAAAPYQGoP6dpAAD/PklEQVR4nOzdd3gU1f7H8Xd203ulhBIgEAiEFnoTFAREFBFBRERAVOzl2su9+tOrgooF9VoQFRUrIjaQIr3X0DsJoYQUSALpyeb3x5Jll7TNkpAAn9fz5NnZmTNnzuzsbvY7pzmFhDQoRERERERERMQBhuougIiIiIiIiFy6FFSKiIiIiIiIwxRUioiIiIiIiMMUVIqIiIiIiIjDFFSKiIiIiIiIwxRUioiIiIiIiMMUVIqIiIiIiIjDFFSKiIiIiIiIwxRUioiIiIiIiMOcq7sAIiKXunvvHU/v3j0d3v+VVyaxa9eeSizRlWvYsCEMGzYEgI8//pxly1Ze1OMPHz6UoUNvsFlXUFBAUlIyK1euYfbs3zGZTBe1TEX69OnFPfeMsyutyWQiOzub48cTWLNmPfPmLaSgoKDU9O7u7vTq1Z1WrSJp1Kgh3t5eeHp6kpubR0ZGBomJSezevYfly1dz7NjxEvMwGAx88800u88nNzeXU6dS2blzN7/99hcnTiTabP/Pf56lefNmduWVn5/P6dNnOHDgEPPmLWDnzt12l6NIRERTrrqqB02bhhMcHIi7uzsGQ9n37nfu3M2rr06u8LFERGoaBZUiIiJVyGg0UqdObYYNG0JGRibz5i2o7iKVy2Aw4OnpSXh4E8LDmxAd3Y7XXnurxMCyd++e3H77CLy9vYttc3V1wdXVn4AAf5o3b8YNNwxi+fJVTJ/+NXl5eRdURldXV2rXrkXt2rXo2rUz//3vZA4ejHUoL2dnZwIC/OnYsT3R0W358stvWbhwsV37Ojk5MW7caPr1u9qhY4uIXA4UVIqIVKJNm2I4dCi2QvskJSVXTWHkotuxY1exmshmzcJp0yYKgC5dOlZbUBkbG8esWXPsSmswGKhTpzZdunTEYDAQGdmcAQP68tdf823SDR48kFGjRlieJyYmsWvXHlJTU8nPL8DJyQlPT0/CwhrQvHkzDAYDvXv3pG7dOrzyyiSbILWwsNDu8gF4eXnRpUtHAgL88fBw5+67x/Hss/+xbF+yZDnbt++0Ky83N1datWpJ48ZhGAwGRo++lQ0bNpOamlruvjfffKMloMzPz2fr1h0cOXLUrqBZn30RuVwoqBQRqUSbN8ewaNGS6i6GVJOdO3cXazpZp05tpkx5HYCgoMDqKBYAsbGHiY09XKF94uMHM2LEzQB07BhtE1Q2btyIW28dBpiby86YMZMFCxZTWFhYYl4NGtTj8ccfonbtWkRENGXEiJv57rufLNsrGlQC/PXX37zzzhsYjUbCwhpQq1YIiYlJACxduqJCeRkMBiZPfoXQ0Lq4urrSrl1rlixZXuY+Li7OXHddf8D8GkyZMpUtW7ZV6LgiIpcDBZUiIjVU8+bN6N27J02bhltqYwwGAwUFBWRmZpKQcILt23exYMHicmtU6tUL5frrB9CqVSQBAf44O9t+/U+ZMpUNGzYDMHPm9Eopf0FBARkZmcTFHWbFitUsX76qxHTWfVLt6V/63nuTCQkJBmDUqPF2l+fxxx+kY8foMtNkZmaSmJhMTMw25s5dQHp6ut35lyY/P9+yfP7rXtPFxcVbln18bJu33njjdRiNRgDmz/+H+fP/KTOv+PijvP/+x/z3v/8G4Nprr+a33/4kIyPT4fIlJ6eQmZmJj4/P2TL6WILKijKZTMTHHyU0tO7ZvIo35z1faGgonp4eACQkJFZqQFmrVgj9+vUhMrIFtWqF4OXlicFgIDc3lzNnMoiPP8LGjVtYvnwlOTm5Nvt6enowbdqHZeZfUFDAmTNniIuLZ8WK1axcuabUGwKBgQEMHHgtUVEtqVUrBHd3tzL7i3744aesXLmm2Hp/fz/69u1Dq1aR1K1bBy8vT8tnIjMzi7S0NPbtO8DSpStK/R6IjGzOiy8+Xea5FfUJTkhIZPPmGObNW3BB7zMRKd+l9d9NROQKYDQaueeecfTq1b3U7T4+Pvj4+NCsWVMGDerPtGlflfgjDqBr107cd98EXFxcqrLYJZbT19eH1q1b0bp1K6Kj2/Lee/+7qGWoKE9PTxo1akijRg3p06cXkye/w6FDcdVdrGrh5OTEVVedew8mJ6dYlo1GI+3bt7M8t7f/4aFDsRw4cJDw8Ca4u7vTrl2bUt+39oiObmsJKM1ldLw5aVBQIFFRkVZ5pZSR2sz6JkFR0FcZAzENGtSfkSNvKfEmhKurK4GBrgQGBtC2bWsGDx7I22+/T3z80Qodw2g04ufnR5s2frRpE0X37l14++2pxfrNtmgRwRNPPGIJnh3VuXMHJk68C3d39xK3e3p64OnpQd26dbjqqh6sXr2Ojz/+3KG+t0V9gps0aUSTJo3o2bMbL7/8hl3NmUXEMQoqRURqmDvuGGkJKPPz84mJ2cbRo8dtfly5ubnRuHEYkZHNcXNz4777JpCRkVGspiQgwJ977x2Pi4sL+fn5bNiwmePHE4r98C1pRM7yBpUJC2tgqfnbuXN3sZoFJycnAgL86dy5w9n+b53o12+33QFIZVu9ep1NzVtJnJ2N9Ot3DV5envj5+fLoow/wxBPPkZeXX+Z+l5uQkGDuumuMpS8owObNWy3LjRo1xNXVfJMiOzu71BFdS3LoUBzh4U0Ac39TR4JKo9HI4MEDLSP9mvONJS3NsZrlTp06MHbs7Xh5eQHmc7JnROYTJ05gMpkwGAz4+fly11138vXX35Gdne1QOcA88NHo0SMBc23i9u07OXz4CLm55tpIJycnfHy8adUqktDQutSqFcKTTz7Kk08+b6mxzMvLs6spcd26dejevQsA7dq1YfjwoXz//c+W7c7OzjzwwD2WgPLQoTh27txd7vkdPnzE5nmzZuE8+OC9liA5Li6eXbv2kJGRYXUsI0FBQbRv3xYvL0+6detMYWEhH3zwSanHiY09zMaNm0vc5uPjTZs2UdSpU5vatWsxbtxo3nnngzLLLSKOU1ApIlKD1K5dyzLoR3Z2Ni+//AZxcaX3g+vUqQOPPfYABoOBMWNGERPznE0Ttq5dO+Hm5gbA7Nm/M3v273aXJTMzs8wfpldd1cMSVO7atafUtL///heTJ7+Ks7Mz/fv3rdagsizBwUE88sj9eHl5WtaFhATTrVuXiz41SXVxc3NlyJDBDBrUH1dXV8v6HTt22Vw3f38/y3JFmxWePn3GKh//CpcxOroto0ePpE6d2lZlyGDatK8qnFf9+vUYM+Y2oqJaWtaZTCa+/vp7UlPTyt3/zJkM1q/fSJcunQC4+upedOnSgfXrN7Fp0xa2bdtZoQDTxcWFkSNvAcw3lP773zfZs2dfiWmdnJx49tl/ERXVkuDgIPr0uYq//14IQF5efrlBZbdunRk0aIDNuv79+/LLL79ZAtgWLSIs/YCPHTvOCy/8X6lNZMtiXev6669/8OOPv5Sa1tfXh5deeo46dWrTvXsXFi5czO7de0tMGxd3uMzzdHZ25s03X6V27Vp06NAOHx8fTp8+XeHyi0j5FFSKiNQgnTt3tPRVWrx4eZkBJcD69RvZs2cfzZs3o06d2jRt2oR9+w5YttetW8eyvH//waopdDkSEhI5fjyBBg3qU79+KO7u7hdUk1MVoqPbMnHiXZZpMVJT0yyBU2Rk8ysiqOzZsxsjR95CYGCAZZ3JZGLhwsV8/fX3NrXbnp6eNmkqwjYf+5tU1qsXyh13jLSpPQXzqLYffvgZR48eszsvb28vbrllKH379rb0CwVIS0tn2rQv2bhxi915TZs2g+DgIEvtq6enJ71796R3757k5+ezZ88+tmzZypYt28otY+vWLfHz8wVg48bNpQaUYB7YaN68hZaAuE2bVpagsixGo5E77hhJ//59LeuK3u/u7m6Ehze21NL6+p5rWpyUlOxQQOnn50tkZHMA0tNPlxvspqef5vff53L33WMB6NGja6lBZXny8/PZtm0HtWvXwmAw0LhxQ7Zu3eFQXiJSNgWVIiKV6K67xnDXXWMqtI/14DSNGjWwrN+//0Bpu9g4eDDWMsl748aNbIJK636U1gPGXGzWtVNeXp41Jqh0cnLi1luHMXjwQEswv2HDJn7+eQ5vvPEyYG5CfDkLD2/MmDGjaNYs3Gb9gQMHmTHjO5v3UxEnJ6dKOXZZg70U8fLyZNiwm+jXr49NH8OMjAxmz/6defMW2h3YGgwG+vW7mltuGWIzr2Z+fj6LFy/jxx9n2zTJtEdGRgYvvfQ6Awb04/rrB9i8X5ydnWnVKpJWrSK5/fZbOX48gRUrVrNw4WKbz0SRJk0aW5YPHiy/L6/1lCRBQUHlpi+qjQ8PNx8nNzePGTNmEhDgb2lKbF1+6/yjolrSr18fli9fVWxgoLKEhTW0LB86FFviXKfnO3jwkGW5SZNGdh+rJNZNoq3734pI5VJQKSJSg1j/0LW3WWFm5rl01jULNVVlBSQXyt/fj4cemmipRSkoKODHH2fz++9/ERx87gd6TRmxtWPH9jY/0IvExR22jNxbEf7+fowceQs9e3azCe6SkpL58cdfLmgAncrg5ORE3759GD78JptgID8/n4ULFzNr1m8VCgCjolpyxx0jadCgvs36zZtj+PbbHyvUL/R8BQUF/PXX3/z990LLoFRt27a2jFJcpG7dOgwfPpRBgwYwc+aPLF68zGa79ee3RYtmuLoOoSzWI9S6u7uVmfb82vikpGTeffcjDh2Ktembav1+37//IAcOHCI8vDFGo5Hx48dwxx23cehQ3NltB9m//2CZ821al9H6u6osmZlZVvtX3neada20iFSumvGfUkTkMrFpUwyHDsVWaB/rH2QX+qOnpgRANV3Lli148MF7LU1c09LSmDr1k2JzTNYkHTq0t0y9Ym3p0hUVCiqdnJwYNKg/N988BA+PcyNxZmZm8dtvfzJ37vxyByZypBlkRfJp2rQJEybcScOGDWzWr1+/ie+++5GEhES7jxEQ4M/YsaPp1Ml2OpnY2MPMnPkj27fvrHjBS1FQUHC2qat5UKO6devQpk0Ubdq0IjKyhSXw8/Ly5O67x+Lu7sbcuecGw7JuWdC+fVvat29r97FLu1lTUm18TMw2PvzwU86cKTsoLyws5M0332PChDGW/tMuLi5ERDQlIqKpJd3Jk6fYsmUrixYtKTZasiPfadbvC32niVwa9EkVEalEmzfHsGjRkuouhpThuuuuZdSoEZYfu3v37ue99z7i1KnU6i3YReDq6srjjz9o0y+xoKCAxYuX8fPPv5Kebt8gJllZ52qS7GnCas06fUm18X379mHs2NttgpEDBw7x7bc/VLhvXdOmTXjiiUdsagBPnjzFTz/NZtmylZUWHJfm+PEEjh9P4O+/F+Li4kKnTtEMGzbE0td5xIibWbZsZZXNoejl5cXDD0+kdetWgLk/66+//sGsWXPsPvf09HSmTPmAZs3C6dy5I+3ataZu3To21zEwMIBrrunNNdf0ZuHCxXzxxTdV/tqKSM2ioFJEpAaxp79RWaqz3+SlYNSoEQwePNDy/O+/F/LNNz9c8Ot+MXzyyXQ++WT6BeVx773jbQLKLVu28u23P1ZokBvAJgAvmobDXtbNIc+fN7Bdu9Y2fZJTUk7yww+zWLFidYWOAeYayqeeetTS3DM7O4c//5zHH3/MrVCfwMqSl5fHqlVr2bZtJ2+99V98fLxxc3OjefMINm3aUiz955/PuKAbVH5+vjz33BOW5r5nzpzho48+KzbtkL327TvAvn0H+PbbH/Dy8iQ8vDHh4U1o3rwZLVpEWEYL7tfvao4dO868eeZBgxz5bFnXuuo7TeTSoKBSRKQGOXPm3OAd9o6M6eFxLp29NU01ifWPzqrsb9m9exdLQJmbm8tnn31Z7f0GL6b69evRrVtnwPyaf/75DJYsWe5QXnFx8eTm5uHq6oK7uxv16oXaHZg2btzIsnz+IEC33DLUsrxx42Y+/PAzhwd1uu66/paAMiHhBJMmvcOJE/Y3m60qp0+fZs+efXTs2B6wDbKtayzd3FyL7VsR9903wRJQxsXFM2XK1DL7PlZERkYmW7fusIyk6uHhwciRw7j22msA6NKlkyWotB6QyMPDs3hmJbD+TtMUICKXhoq1WRERkSoVG3tuCpGmTcPLSHlO0UiOQIX7c9YE1v26/Pz8ykh5Ya6++irL8uefz7iiAkqADh3aWZaXLVvlcEAJ5tqjzZu3WJ7369fHrv2aNGlkeb9mZ2db+h6Cec7KopE+MzIy+eCDTy9olGDr8/3kk+k1IqAsYj2ojvWNoISEBMtySYMy2Ss4OMhSI33mzBleeeWNSgsoS5KVlcX33/9seW49uI71d1rjxmF2NZe2HvH14MHYSimjiFQtBZUiIjXI2rUbLNMj9OnTq9hIlefr0KGdZTqR48cTqm0uygthPX1Az55dq6y20nqqhMTEpCo5Rk1WNIk9VM7Nh99++8tSy3zttddw7bXXlHnt6tevx0MPTbQ8nz//H5uaueDgc+VLSEggJyfngspnPcXG+YPHVKcWLSJo0SICMDeJ3bv33FyUGzduIS8vDzDXrBf1hayoogGowHzTxno01apSNE8nQHLyuQA2PT3dMgCWn58vQ4feUGY+Pj7eDB58neW5I02fReTiU/NXEZEaJDExiYULF9O/f188PT3473//zZYtWzl69LhN3yI3N1caNQqjZcsWgHkAjhkzvrskB8fYvDnGMvl6+/ZtmTLldWJj48jOLjmosG4uWBGHDx8hNLQuAA88cA9r1qwvNXDx9LSvmZ7tPh5cd13/MvNyd3ezmb6hyNy586v8h7/1yKLt2rXBz8+3QvsfOXKMtWvXW54fOhTHd9/9xOjRIzEYDIwbN5rrrx/Arl17SE1NJT+/ACcnJzw9PQgLa0jz5s0stVS7d+/lp59ml1o+f3//El+n8vz66x+WQNfV9Vx+Q4Zcb/dclkVWrlxDQsKJctP16tWdWrVCyk3n7u5OaGgd2rZtbXkd5s1baBNYnzqVyq+//sHw4UMxGo08/fRj7Nmzj0OH4mwGRyrJhg2biIuLB+DYMfP3hbOzM3Xq1Oa5555g374Dpb4GRdPqnM/Dw51BgwaUeVyDwUBQUCCdOnWwrFu6dIVNmh9+mMWLLz6Ns7Mzw4YNoUOH9uzevcfm3I1GI0FBgURHt7X00121ai179uxDRGo+BZUiIjXM119/j4eHB716dcfZ2ZmOHaPp2LH09Dk5OXz++QxiYhwbgKO65eXl87//TePxxx/Ezc2N2rVrUbt2rUo/zuzZv9OmTRSenh4EBwfZDNhTGTw9PcsNhNzd3UtMs3TpiotSm1QkOrot0dH2T1cB5lp066AS4K+/5pOWls6YMbfh4+NDrVohZQZYJpOJJUuW89VX35Y5gEtQUKBDQeUff8wrMd/yasdKcvBgrN1BZVRUywrnv3LlGn74YVax9bNn/46Liws33HAdRqORyMjmpQZ91pKSki1BZWZmFnPm/Gl5DaOiWjpURg8Pjwpfh7//Xsjq1ets1u3bd4APP/yUe+8dj7u7O40aNaRRo7Kb965Zs/6CB6YSkYtHQaWISA1TUFDA//43jcWLl3HVVT1o1iycgIAA3N3dMBgMFBQUkJmZRULCCbZv38miRUs4efJUdRf7gmzbtoPnn3+Z667rT6tWkQQE+OPmVvZk7hUVH3+Ep59+kUGDBtC6dUsCAwPtHgxJSrdy5Ro2bNhEz57dad26JY0aheHt7Y2npwe5uXlkZGSQmJjEzp27Wb58lV2B2uUoOzub1NQ0Dhw4yLJlq9i2bUepaX/88RdWrFhN7949adEigjp1auHh4VGhORtnzZrDvn376d+/Hw0a1CMgwL/S53w0mUzk5ORy6tQpDhw4xNKlK0qd63Xt2g3s2bOPvn37EBXVkrp16+Dpee6cil6fffsOlJmPiNRMTiEhDS69tlIiIiIiIiJSI2igHhEREREREXGYgkoRERERERFxmIJKERERERERcZiCShEREREREXGYgkoRERERERFxmIJKERERERERcZiCShEREREREXFY5c6CK3IJuvfe8fTu3bNS8nrllUns2rWnUvKqKYKDg3j//TcB2LlzN6++Otnufa1f288/n8GiRUuqooiXpZkzp5ebJjs7h4yMDBISTrB3735WrlzNsWMJVVKOpKRkHnnkqUrN+1L3wgtP0bJlCwAefvhJkpNTLnoZrrqqBxMn3mVX2oKCArKzc0hOTuHAgYOsWrVWE8xbcXFxpkePbnTsGE3DhvXx8fHGzc2t3P0+/vhzli1beRFKWD3ee28yISHBAIwaNb6aS1OzdOwYzcCB/WjUKAxPT49i7wV7fl/k5+eTmZlFamoq+/cfZPPmGDZtiqGwsPKmkbcux+X4O6WyfPbZB7i5uZKUlMy6dRv49dc/ycnJqe5iXTIUVIpcIvRPQc7n7u6Gu7sbQUGBtGoVyZAh17N27XqmT/+ajIzM6i6e1DBGoxEvL0+8vDwJC2vANdf0ZsWK1Xz88eeYTKbqLl61qlUrhKeeepTQ0LrVXRS5RAwePJBRo0ZccD7Ozs74+vrg6+tDw4bmz2VCwgk++WQ6e/bsq4SSSkU4OztTt24dhgwZTJs2Ubz00mvk5eVXd7EuCQoq5Yq3cePmMmsYrrqqh+Uu7YoVqzlxIrHUtElJyZVePpHZs38v8Ue/wWDAy8uThg0bEBHRFIPBQLduXQgPb8J//vNf0tLSL/jYs2bNAVCQWoJly1Zabu5kZlb/6xMff4R16zaWmaboB1N0dFucnZ3p2bMbR48eZ86cPy5SKWseZ2dnm4AyNTWNzZu3kpqaalewHRd3uKqLWK3mzl2Al5dndRejRvH09GDYsCEAmEwm1q7dwLFjx8t8L2zaFMOhQ7ElbnNzc6NWrRBatmyOt7c3derU5oUXnuKjj6axevXaCy6v9e8c/U4p3W+//YWfnw/du3fF39+Pxo0b0atXD/75Z2l1F+2SoKBSrngbNmxmw4bNpW6PjGxuE1Ru3br9YhVNBIBff/293DultWqFcPfdY2nVKpJatUJ47LEHeeml1y742EVBpRRX05o8Hjly1O7r1atXd+67bwIA/fr1uaKDyi5dOloCymPHEnjxxVfIysqq5lLVHPPmLajuItQ4TZuGW5pGb9iwialTPy53n82bY8rtAuLs7Mz11w9g+PChGI1G7r13PEeOHCU+/sgFlbe83zli9vvvfwHmrj5PPPEIAC1btlBQaScFlSJVrKg5S0REU4KDA/H09MRgMGAymcjMzCQpKYVdu3azcOFiEhJsa0EjI5vz4otPF8uzpHVwrl+Xp6cH06Z9WGa5CgoKOHPmDHFx8axYsZqVK9dUah+OyvL44w/SsWN0mWkyMzNJTEwmJmYbc+cuID295Bo66z5wpcnNzSUtLZ29e/excOGSMpsfhYbWZeDAfrRo0Zzg4EDc3d3LzPvll1+vsuZMiYlJTJ78Lq+//jKhoXWIiGhK584dSqy5atMmiv79ryE8vAk+Pt4YDLZjtk2Y8ACZmeYf1SX1qXR3d+eDD97C09Nce/HOOx+yfn3ZNWRFxo+/g379rgbg778X8tVXM4ulad68Gb1796RZs3ACAgLw9PQAICsrm7S0NA4dimP16rWl/kiy5zrn5eWRnn6aAwcOsmDBYnbs2GVX+Us7zvl9Ku3p61j0HXD06HHWr9/IggWLycvLq3A5HLF5c4xlOSgoEE9PD8s1/+yzD8qsmTKZTGRkZHLkyFHWrl3PP/8sIz+/7Jse9eqFcu21V9OyZQuCgoLw8Cj9s1Ja/9RatULo168PkZEtqFUrBC8v83dpbm4uZ85kEB9/hI0bt7B8+UpycnLLewkswsMbW5aXLVtRqQFlu3Zt6NGjK+HhjfH398Pd3R2TyUR2djanTpn70C1fvqrMvq1dunSiV6/uNGrUEB8fb1xcXEpNm5Bwgscff9Zm3YV+T9nbp9L6XH19fS2f2/z8fMv7ZevWHfzzz1IyMjJKzKOyP7sX+tqVxtfXx7J89Ohxu/axR35+PnPm/ImrqytDh96Aq6sLt946jLfeeq9Y2sDAAAYPvo62baMICgrC1dX23GbM+M5yQ6C07jPW6zdt2sJbb71vVzmbNm3C//3fCwCkpaXz8MNPFLvx6efnS79+VxMV1ZK6devg5eWJ0WgkLy+PjIxMjh49RkzMNpYsWc6ZMyW/HwC8vb0YNGgAHTq0o1atkGL9nOfOXcDXX39ned66dSuuueYqmjRpjJ+fL66urqXmXVBQwB133F1svfU1tb7WUjYFlSJVaOTIW7jxxkElbjMYDHh7e+Pt7U3jxmEMGNCPH36YxR9/zLsoZTMajfj5+dGmjR9t2kTRvXsX3n57KgUFBRfl+JXJ09OTRo0a0qhRQ/r06cXkye9w6FCcQ3m5uroSEhJMSEgwPXp0Y968BcyY8V2xdF27duK++yaU+SPlYsvLy2P+/EWMHXs7YK6NOj+oHD16JIMG9b+g42RnZ7N48XKuv34AYK7psieodHNzo3v3roA5MJk3b6HNdhcXZ+65Zxw9enQrcX8PD3c8PNypU6c23bp1Zvv2nbzzzgdkZWVX+BxcXFwICgokKCiQzp078t13P1vuUl8sRd8BzZs3o3nzZnTr1oVXX518UQaGOP9HnKenpyWoLI/BYMDHx5vIyOZERjanV68evPHG26U2kR469AZuvvlGjEajw+UdNKg/I0fegrNz8Z8trq6uBAa6EhgYQNu2rRk8eCBvv/0+8fFH7crbOk9fX1+Hy2jNy8uLhx+eSOvWrYptMxgMeHp64unpSb16ofTu3ZOVK9fw8cef23z/GgwGHnpoIl26dHS4HBfje8rDw4NHHrmPNm2iStzu7OyMn58vfn6+tGoVyeDBA5g69RO2b9/p0PHs+exWxmtXFusbcVXRH/nPP+dx442DMBqNtGvXGm9vL5vPbIsWETzxxMOWG3uO+uuvvy1BZdu2rQkMDODkyVPl7te3bx/L8qJFS4oFlN26deHuu+8s8QaGi4sL/v5++Pv70apVJNdfP5CpUz8u8cZKaGhdnn/+SQIC/O06nzFjbmPgwGvtSluW8z+HYh8FlSJV5PrrB1gCSpPJxM6du4mNjbO5g+7i4kKDBvVo0yYKo9HIqFEjyMzMsjS1SEpKtjRn69ChPY0aNQRg6dIVJd7JL+rXlZeXZ1czuLp169C9exfAfJd5+PChfP/9zxdw1pVv9ep1xMXFl5nG2dlIv37X4OXliZ+fL48++gBPPPFcmU1G585dUGI/ODc3Vxo0qE9UVEuMRiMDB15LSspJ/vzzb0saPz9f7rlnnOWH2q5de9i370C5tUwXY3TQAwcOWpYjI5vbbOvUKdoSUJ45c4Z16zZy6lRqsTzsqS37+++FDBzYD6PRSKtWkdSuXavM/sYAPXp0tdRebN4cUyz9XXfdaQkoMzOz2Lw5huTkZPLzzf/gjUYjAQH+tG/fFl9fH6KiWnLvvXfx7rul18qXdp2dnY3UrVuHDh3aYzQaufXWm9m6dXuV9I/buXN3qQNr+fn50qFDewIC/AkPb8zw4UP55pvvK70M5/Pxsb37bl0799tvfxWr9Tifv78fV199FQaDgfDwxowfP6bEJoCDBvVn+PChwLnvwbi4eLKzS78RcP716t27J6NHjwTMP/a2b9/J4cNHyM01f5c6OTnh4+NNq1aRhIbWpVatEJ588lGefPJ5u2osrUdM7tevD3v27GX9+k3l7lcaJycnHn30flq1igTMNTlbtmzl5MlTlgDE2dmZWrWCadeuLR4e7vTo0ZW0tDS++eYHm7IUBUW5ubmsWbOe5OSUMluUWAceF+t76oEH7rEElNnZOWzeHENiYqLlcwvmmxYREeFnW0f48K9/PcRLL71e5uftQj67F/raVbfMzCyOHz9B/fqhGAwGWrRozoYN5vekq6srDz00EU9PT0wmE1u2bCM+/kix1gL79x8o9zjx8UfZtm0HrVu3wmg00rdvH376aXaZ+3h6etC1ayfA/L9iwYJ/bLZHRbXk/vsnWG4i7dq1h4MHY20+815eXjRv3pTGjRvh5+fL448/yFNPvVgsoH3wwXstAeXOnbvZv/9gsffvvn3m82zfvq0loCwoKGD9+k0cP55QZtB/pQ9QVtkUVIpUAQ8PD4YOvREwf7m9+eZ7ZfbFbNq0CS+++DQuLi7cdtstrF69jqysLJKTUyzBYXBwkCWotB4gpCR5efnlBpXdunVm0KABNuv69+/LL7/8ZvmxVhOsXr2uzO3BwUE88sj9Ns31QkKC6datS5l93ubOnV/mj6fmzZvx/PNP4uzszE033cCiRUst/xTbt29ruQO7bdsOXn/97YqcUpU6ffqMZdnT0xM3NzdLzVevXj0s295+e+oFNcVNTk5h3boNdOvWBYPBQN++vZk586cy9+nbt7dlee5c235ajRs34qqrzOVLTEwqc6AhHx9v3nzzv/j6+tC5cwcaNmzA4cMl33go7zpfffVV3H33WAwGA3369CyxOe6F2rVrT5mfx59+ms2UKW/g5eVJ7949+fbbH6q8KXqHDu0sy+npp21qGcursW3ZsgUPPnivzR38Ll068v33wTaDgHh5eXLzzebBTPLy8nj99bfZvXtvhcrp4uLCyJG3AOamgf/975ulvm+dnJx49tl/ERXVkuDgIPr0uYq//15YYlprq1atZfjwoXh4uOPq6spjjz3IkSPHWLt2PVu2bOXgwdgKXY+OHaMtAeX+/Qd5/fW3Sq1Nr1u3Dq+//jKuri5ce+01zJnzF6dPnwbMtT1FPvvsS1auXGN3GeDifE+1bNmC6Oi2AJw8eYqXXnqtzM/boEH9GT16JG5ubowefSv//e+bpaa9kM/uhb52NcGZM+e+ywMD/S3LbdpEWQKtpUtX8tlnX1zQcf78829LjXqfPr2YNWtOmcFWz57dLU1QV69eV+x7evToWy0B5fvv/481a9aXmldR81tPT08GDepvc1MlLKyh5TfP9u07ee21t8o8j27dOluWf/55zhXdT7y6qE5XpAq0a9fapkamvMF99u8/yLp1GwDzHbx27dpUWdmMRiNjx97OQw9NtPRrSk1NA8xTVFj3L6rpoqPb8tpr/7GUueg8oHgtXUXt2bOPjRu3AOYfx9bN2Pz8zjWRK6927mI7/8eAt7eXZblu3dqW5f37D3Kh/vprvmX5qqt6ltm8sXHjRjRu3AiA2NjDxZo6FdWYg/lHTlkj154+fYYVK1ZZnrdpU7yJob2KrjFAkyaNHM7nQpw+fcZyt93Ly5M6dWqXs0f5oqJaMnToDQwbNsTm79Zbb+bRRx9g/Pg7LGkr8oP7ppsG89xzT+Dv7wec+8wZDIZin7k2bc59D65bt7HCASVA69YtLZ+3jRs3l3kjpLCw0KZJtb3vi/T0dN5//382gV/9+qEMGzaEV155kY8+eof77ptAt26d7RoFtUePc+/lX375rczm2cePJ7Bly1bAHEC3bHnuNbTuy+XI98zF+J4qqrEC+OOPeeXWcv7113xSUk4C0KpVpOV95IiyPrsX+trVBNbf5V5eJX+PW7dMcdTWrds5csTcVDwgwN/mhlNJyro52KBBPRo2bHC2bIfKDCjB9n/I+c2nK3qe1tc8MfHSvOaXOgWVIlUgLKyhZXnfPvu+9A8ciLUsV9WP2+DgIF566Tn69+8LQG5uHtOmfWUzIp29fReqk5OTEyNH3sLjjz+Et7c3YB6B7403pljSVMZ5HDwYa1lu3DjMspyYeK42pkePbnTt2qnEvl41gZOTk2XZesCCyug7e+DAIcuPfF9fnzL7L1n/EClpNEnr93xpw+5bS0o69+M1KCjQjtKWzHpQp/ObhF5MtuXwvqC8wsOb8NxzTzB8+NBiQeWQIYPp3LmD5f26ffvOcpu7gfnmxFNPPcaIETdbBhr7+edf+eGHWZY053/mwsIaWJZjYx3r49ykybmbXAcPlp+HdU1pUFCQ3ceJidnG00+/yMqVq4s1I/Tz86VXr+489NBE/ve/d3nmmcfp3LmDzWertDLb815OTi65zNbncvvtt9KgQT17Twe4ON9T1v/r7GluCbavyYX8ryvrs3uhr11NY90qwPp7vLwBsuxlHdxZ95c8X0REUxo0qA9wtim7bfPlynrvw/nnWf7/K+trPnTojTRrFl7uPlK5auavIJFLnHXtkL3z11n3aaqK0caio9syceJdliAsKSmZd9/9iEOHYi3zbQE1Njgq4u/vx0MPTbTUihQUFPDjj7P5/fe/CA4+90+pMs4jK+vctbO+pps2bSYpKZmQkGA8PNx5+OH7yM7O4cCBgxw4cIj9+w+yf/9BUlNTL7gMNd2ff/5N8+bNAPOPkVWris+p5uHhbqmJTE1NKzGN9Xu+Z8/utG3buszjFtV6AuWOZmmvCxlI5kJZN6+80HI4O5e8f0FBAdnZOaSkpHDwYCzr1m1gy5Zt5ebXrFk4Dz000fL5On36DB9++Clbt263NFk2H9f2M2f9mcnOdmzwIev3RYsWzXB1HVJGatuA3N3drYyUxSUnp/Dhh5/x9dc/0KlTNO3bt6FlyxY27y9nZ2fatImiTZsoDh2K5cMPP7Xpk3l+mQcM6FfuDZzw8CYllnn+/EWW2pvmzZsxadIrpKScZN++A+zff5ADBw5y8GBsqX0kL8b3lPXrbe//OusBoSrrRs75n5kLfe2uNCtXrubWW2/Gz8+PqKiW1KoVQmJiUrF01gFnSTcHrd/7DRrUt/ltURLrYLmsEaHtsWjREnr37omzszP164fy8svPk5aWzr59BzhwwPxeP3jwkEMDu4l9avavR5FLlCM/Cq1/VJb2o9ARTk5O3HrrMAYPHmj5Ao+J2caHH35aowYmsEdRX66iJlNpaWlMnfpJmcPxXwjrblTWoyfm5OTy+utvcffd4yzBrbu7G61aRVr6UoG52dXGjVvOThdzokrKWJ6q7pu3ceNmEhJOUKdObSIjm1OvXihHjx6zSdOjRzfLD/OFCxeXeHfd+q50//7XVGmZL3d79uxj7dr1dOlibppoMpl4550PbJoL2mvgwH6MGjXCEjAePBjLu+9+aNdgLpURpFt/7tq3b0v79m3t3re0msTypKens2jREhYtWoLRaKR582aWQLKojxeYb2z85z/P8e9/v2rTxNL6vXzTTYMrdGzrMm/aFMOHH37KHXfcZvmxXjTqaVGz0/z8fPbvP8jq1etYunSFTX/4i/E9deH/66rmZ+iFvnY1TVUPKJOXl8+CBYu55ZabzvaR78N339n2kffy8rK0Ril6z5zP+r1fNKr1xRIbe5i33nqP8ePHUKtWCGBuZdCxY3s6dmwPmF/H2NjDlqmQSpvaRhyj5q8ilzEvLy+eeeZxbrxxkKXJ2i+//Mbkye9ecgHlddddy7PP/ssSUO7du5/nnnu5ygLK8iQkJPLKK5N4/fW3WbhwcYl3dWvXrsWgQf2ZPPkVhg694aKU6/zhz0ub5qGynN+PzbqZ67l1fQBzc+uFCxdXaXnE7KOPPrMM5mUwGHjggXttasTK4+LizP33382YMaMsP/z/+WdpuQOxXG4KCgrYuXM333//M8899xIPP/wkc+b8Yanh8vHxtoxuWxVWrlzD448/w7RpX7FpU0yxaV+cnZ1p0SKCceNG8/bbrxXrE19Tv6cuhgt97aqb9Xd5VX+PAyxYsNgSWF91VY9iNwyuuqq7JWj8+++FNXJe661bd/Dkky/w4YefsnbtesugV0UMBgNNmjTittuGM2XK61U6fsWVSDWVIlXAkf5q1neo7ek/UB4/P1+ee+4JS/+HM2fO8NFHn9nV3K2mGTVqBIMHD7Q8//vvhXzzzQ9VPqemdUVHac2ktm3bwbZtOwBz05+mTZsQHt6EFi0iaNYsHGdnZ5ydnRk+fCiHD8c7VFtUEdbNjzIzs8qcuqGyLF26nOHDb8LLy4tevbrz3Xc/W16vpk2bWPrWrVq1hvT00yXmYf0D5YknnivWpFAqJi8vn7feep8XX3yaRo0a4u7uxhNPPMxLL71W7sAlbm5uPPnkI5ZJ6HNzc/nii29YunRFhcpQ2Z/Pzz+fYdP/uzokJ6fwww+/cOJEEvfcMw4oe0CgO++8p8ypjexRNM3UP/8sxcnJidDQujRt2oSmTZsQFdWS2rVrAeaauMcff4hHH3262PdVVX1PXfj/usrpE1iaynjtqov1d/mpU+XPHXmhTp8+zYoVq7nmmt74+fnSuXNHVq8+11XhmmvMNwwzMzNZsqTk7wLr7/HffvurWqYoy8vLY+XKNZYByGrXrmV5v0dFRVK/vrl/rY+PNw8/fB+PP/7sFdFV5WJQUClSBaxrAYtGPyyPdX+C0n54V8R9902wBJRxcfFMmTLVpiP7paJ79y6WgDI3N/eiDg9vPbG09VQdpUlPP82mTTFs2hQDmCdSHz/+Djp37gCYR0qs6qDSenACR0bbdEROTi6LFi3lxhsH4eXlRffuXSwBiHUfnPNHCrRm3R/LugmVOC4rK4tJk6bw0kvPUbt2Lfz8fHn66cf4z3/+W+b7+Y47RloCyqSkZKZM+cCh+Tutvwcr2r+xiHUNjZtbzXlfrF+/0RJUent74+TkZPlBnZGRYRmt09XV7YKDSmuFhYUcPXqMo0ePWT5jzZs345FH7sff34+AAH+aN2/G9u07S82jMr+nTp8+Yxmt2MOj/JFxzenO/U88vyapKlXGa3exeHt7WV5Xk8nE7t2OT/9UEX/9NZ8+fXphMBjo16+PJahs0SKCevVCAVi8eHmpNytr4vf4iROJnDiRaPnd0KBBfR5+eCL16oXi7u5G+/ZtWLx4WTWX8vKg5q8iVcB6pMOmTe0bgcx2lMPYYttNpnN3AMvrKxQcHGQZpODMmTO88sobl2RACea5yIp8/vmMizrfmPXIhI6MXpmenm4zP2FVjy7q5ubGgAH9LM8v5mv1998LLbUORYGk9STZ27fvJD7+SKn7Hz9+ri+X9YiScmHS0tJ5/fW3LVN/1KlTmyeeeNimr6I1o9FIr17dAfOP2VdfnexQQAnY7GfdF7EiEhLO1VjXpPdF0Tx9YA6MrGtobN/LDahqe/bsY9Wqc5/1in7PXMj3lPU1btbMvubV1iNpl/S/7mK60NeuqhR1WQHzd+fFCr6PHTtumQItMrI5oaF1gXPf6QUFBWXO/Xqx3/uOiI8/wsKFSyzPL3S0bTlHQaVIFYiJ2W65Yxcd3ZaoqJZlpg8Pb0znzuYO8GfOnGHLlphiaaz/qYSEBJeZn/XcX2fOZBTrS3IpsZ6moKT+QFWlefNmREe3A8y1Jdu2OXb32rqfTlUG9nXr1uHZZ/9lGaDg4MFY1qxZV2XHO9+pU6mWOcmKmrxaT5JdVi0lYJmnFWD48KEEBgZUXWGvMImJSUyaNMXyndSsWVMefPDeEm9OeXt7WQLOvLw8Tp50vNnd1q3bLd89nTp1dGiI/40bt1iaI3bv3sVmvtjq4uTkZDMAz44dtv26rd/Ld9xxm11zW14o69GQradpsJej31OrV5/7jrn++oHlfm4HDOhnGUV4+/adNnMLV5cLfe0qk6urK8OHD2Xw4OsAc/Ng62l7Lobzpxfx8fGmUydzLfaGDZvL7FO9c+cuSyuIyMjm9OnTq2oL6yDb9/uV00e8qqn5q0gVyMrKYvbs37n99lsxGo0888zjbN++k9jYwzb9NVxcXKhfP5Q2baIsg2F8//2sEoe83rFjFzfeOAgw9zEMC2tYbOSyuXPnk5mZxbFjx8nPz8fZ2Zk6dWrz3HNPsG/fgVJHkDt/0vKqcNVV3Wna1P6BQn7++VdSUk5y+PARy93SBx64hzVr1pOTU/L0BNbNVctz3XX9SxwC39XVlYYN6xMV1dIyUMHs2b/bNPcJCgos95+l0Wikdu1adOoUbVm3bNlKu8tn7aabbijx2hkMBnx8vAkLa0h4eGPLne2UlJNMmTL1og+k8Oeff9OzZzcAxo+/g8BA8/yRx44lsHlz8Rsl1tau3cD27TuJimpJYGAAb7/9Gtu27eDYsYRy+zgVve+ldHFx8bz11vs888zjuLq60qlTNHfeOYovv/zWJl16+mlSU9Pw9/fDzc2Nl156lm3bdpbad66s2oiMjExmzfqVO+64DVdXF/7972fOzm0XX+pnGGyv56lTqfz66x8MHz4Uo9HI008/xp49+zh0KM5mGqaSbNiwibi4+DLTgLnrwaBBA8pNB+a+6i1aNKd+fXNTwPz8fObM+cMmzd9/L+Sqq3pSv34oYWENePfdyWzduo3ExKRy+8tb1xhGR7ezqdUriZubG5GRzS0/ko8cOcr+/ea5kS/G99SuXXvYtGkL0dHtCAoK5K23/svmzTGcOJFk857x8PCgWbNwy42FnJwcvv32R7uPU1EX+tpVhfbt29rc8LXm7u5OnTq1iIxsbvk/ZjKZmD79aw4dcmyOV0cV/VZp1Kghffr0IjS0Dq6u5htNc+fOL3PfvLx8vvnme+67bwIA99wzjr59+7Bv34FyR1rduXO3ZXAxR7RoEWEzqnFJXFxcCA9vbEmXlpZe4k18cYyCSpEq8ueff+Pj42NpxlI0JH1pzPMt/sI//ywtcfu2bTvYsGEzHTu2x8fHm4ED+xVLs3TpCjIzs8jMzGLOnD8tc0RFRbUst7a0qjVr1pRmzZranX7evAWkpJxk9uzfadMmCk9PD4KDg2wG7LkQ1113rd3l+Ouvv23WBQcHlTv/ljWTycT33//Mvn32TQ5+voqMyLhhw2amTfuyUvrlVlRc3GFWr15Lt25dbK71Dz/YN1jDlCkf8OCD9xId3RY3Nzc6dowufyfOve+lbLt372Xq1I959NEHMBqN9O/fl+TkFP74Y54lTWFhIT/8MIt77x0PmOdQrMioseebO3cBHh4e3HzzjRiNRlq3blVubeP513P27N9xcXHhhhuuw2g0EhnZ3K4bYUlJyXYGlR4V+jwXyc7O4ZNPPi92jLy8fF577S0ee+wBmjULx8vLk27dutiVp3VQ2aFDO5vm/+U5dSqV99//2HIz6WJ9T3300Wc8/PB9tGkThbu7e7nnevr0GT744BOHm1Xb40Jfu6oQHd2W6Gj7psRJSkpm2rSvLIMrXWw//DCLp59+DA8Pd8ucwRs2bGbv3v3l7rt8+Src3d0ZNWo4bm5uhIc3tntk3QsNKivyfs/MzGTq1I81b2UlUlApUoW+//5nVq9ey9VX96Z582YEBwfh4eFumd4jKyuLpKRkdu7cY9ccYe+++yEDB/ajZ89u1K1bx6Zfz/lmzZrDvn376d+/Hw0a1CMgwL/K5gSrSvHxR3j66RcZNGgArVu3JDAw0O7BjxyRm5tHWloae/fuZ9GiJQ4NdmMymcjOziY5OYW9e/ezePGyKrnbnJ2dQ0ZGBgkJJ9i//wArV67lyJGjlX6civjss68oLIR27dqQlZXF77//xfr1m+zaNzs7m7feeo9WrSLp0aMrTZo0Jigo0PKZkQu3ceMWpk37yhI0jhx5CykpJ22aMS5duoKjR48xaNAAGjVqSGBgoKWmwhG//PIba9du4Nprr6FlyxYEBwda5i21148//sKKFavp3bsnLVpEUKdOLTw8PC7qd5rJZCIzM5MTJxLZsWM3CxcuLrUpYGpqKi+99BodOrSjS5dONG4cRkBAAG5urpX2Xs7PzycjI4NjxxKIidnGokVLKjT1RGV9T2VmZvHGG1OIjm5L9+5dCQ9vjJ+fr+Ua5+fnk5mZxdGjx9iyZRv//LO02ucHrIzXrsiFXs+i1+fUqVQOHjzEli3b2Lhxc5XPTVmWmJhtfPbZl9x88414eHiwbdt2PvvsS7v3X7DgHzZt2kLv3j1p1SqS0NA6eHp6ltqX+2LIz88nKyuLhIQTbN++i4ULF3PqVGqJaa2nU6nO63CpcQoJaVDzJpoREakCL7zwlGVUy4cffvKKmm9PREQqR5s2UTzzzOOAuQ/tu+9+VM0lksoUHd2WJ554BDAPePfhh59Wc4kuDZdetYWIiIiISDXZv/8AOTk5lmb6Dz00kWPHjtvdj1dqphtuGISfnw/du3e1rNu5c3cZe4g1BZUiIiIiInbKzMxi1qw5jBo1AoPBQLdunQH7+/FKzWSea/ncgH+HDsWyYsWqaizRpUVBpYiIiIhIBfzxxzxOnEhk4MBradQoDA+PivUTlpopPz+f5OQU1q7dwK+//kFeXn51F+mSoT6VIiIiIiIi4jANpyciIiIiIiIOU1ApIiIiIiIiDlNQKSIiIiIiIg5TUCk2Zs6cTosWzaq7GGLF1dWFNm0iLmjycal8ui41k65LzaTrUjPputRMui41k65L2RRUSjEGg94WNYnRaMDJyQmjUdelJtF1qZl0XWomXZeaSdelZtJ1qZl0XcqmV0VEREREREQcpqBSREREREREHOZc3QWQmufkiS9JS/Ku7mLIWWlAwuHqLoWcT9elZtJ1qZl0XWomXZeaSdelZrrUrotfSOuLejzVVIqIiIiIiIjDFFSKiIiIiIiIwxRUioiIiIiIiMPUp1JERERERK4oubQG4s8+c8eJ3jgzAyfcLGnyeQwTX5SSgxvQECP3YOTus3n6l3PUouN8hRPu56X3wsAQnPnIkdOpdjU6qBw0aACjR9/K88//H4cOxdpsc3Fx4ZNP3mPJkhXMmDGzysowcOC1xMUdZteuPVV2DBERERERuXiMjKaQUwCYWEghf1PIPJwYYkljoDdYBZm2sjExhwKexIm6GBiMgYllHtPE32ePsxYnetukN/ErJmZi4m4MtL/Q07voanRQuXr1WkaNGk7nztHFgsp27drg7u7OqlVrqrQM1113LcuWrVRQKSIiIiJymTDytGU5n9cxMYlCEm3SGLgJAzeVmkcBzSngWUwsxcBgnHmj1LSF5FHIEgox4kRTAJv0+aRh4js4rwyXihodVJ46lcquXXvo2DGaH374xWZb164dSUg4wf79B/Hw8ODWW4cRHd2WwMAAMjIyOXDgEN9++wNHjx4DoEWLCMaOvZ169UIxGo3MnbuA77//iXHj7iA6uh2+vj6WvE+fPs3zz/8f77//JgDDhg1h2DDzXYtXXplEaGhd7rprjCV9QUEBJ04k8uOPv7Bu3UYArrqqBxMn3mVT5qSkZJYsWc6vv/5BYWEhwcFBlmMUSU8/TUzMNmbM+I6MjAwA/P39uP32EbRsGUlAgD9paWns2rWXb775npMnTxEZ2ZwXX3zaJp/Tp8+wZctWpk+fQU5OrsPXQERERETkylBYgZSpmPgdACfqlZu+gDcpZDcGxpaT3v4y1CQ1OqgEWLlyDffcM47Q0LocO3YcMDd9bd++LXPnLgBg7Njbadw4jG+++Z7Tp8/g5ubKwIHX8q9/PcTjjz8LwCOP3M/OnbuYMeM7CgsLOXnyFAMG9KN7967873+fkZ5+2nLMgoIC0tLSeOWVSTz55COsXbuBZctWAhAXd5jjx09YygJQt24dRo8eyYMP3ssTTzxPYmKSZdubb75HdnY2Tk5OhIbW5fbbR5CWls4//yy1pPnxx1/Ys2cfAL6+vtx6682MGzeaDz74BICHHpqIk5MTn38+g6ysLDw9PRg69Ebuu28C//3vuaD000+/4MQJ890NHx9v7r57LMeO9WfOnD8q74KIiIiIiFyhCsnDxHQKmAyk4ERrDIwvcx8T2zHxDlAHIy9djGLi4VFas92KycrKsStdjQ8q163bwLhxo+nUqYMlOGrXrjXu7u6sXLkaJycnunbtxJdffsvmzTGW/ZycDDz55CMEBwdRUFCAn58vq1evZ+fO3ZY0AQEB5OXlsmfPPlJT04ode9euPRQUmEhOTrFp/pqZmUVqaioAbdpEcdttt7B7917atWtNixYRNkHlnj17yczMAmDnzt1ERkbQrVtnm6DyyJGjNvl7e3tx552jcHJyIiDAn8jI5rz++tvs3n0uTWBgIHfcMRKj0WhZd+hQLHFx8ZbnvXv3pGnTxva/2CIiIiIiUiITc8jnZeAg5oF1nsLI4zjhXuo+heRTwANAHs68hVO5g/lUjoiIRpWST0yMfV0Aa3xQmZmZRUzMNjp1irYElV26dOLQoTiOHUsgIMAfFxcX7r57LHffPbbY/l5enmRkZJ59ZludvHjxMnr06MrUqW8RH3+E/fsPsmXLVjZv3kphYflVz9dfP4DbbhvOvHkL+fbbH/j228/x9PQsc5/U1HQaN25UZpq0tDScnZ0JCPAnODgIgGef/VeJad3cXEvNp6CgoNzyiIiIiIhI6Uysp4AXKGQt4IKBuzHyJE7UsmPf9ygkBieGYGBw1Rf2rL17Yy/aseASCCrB3AT2kUfuJygokPT0dNq3b8svv8wBsNTUzZz5I7t37y227/HjJ2z6S1o7cuQojz32DJ06RRMZ2ZxWrSLp1+9qtm/fyeuvv11mYDlhwp1cdVUPpk37iiVLllfCWZbMYDBPJfrRR5+RkHCi2PasrOwqO7aIiIiIyJUsn1cxMQUAAyMw8hxONLJr30L2nG0mG4Azb5abvjLZ22y1slwSQeWmTVvIzMyiU6cOJCcn4+bmyqpVawEstZBZWdns33+wwnlnZWWxbNlKS5/J/v2vYezY0YSEBJOYmERhoanYPt26deaaa3rz2mtvsX37zgodz9/fl5SUk2Wm8fPzIz8/n1OnUvH29gbMA/g4cn4iIiIiIlJxBfyMibeApjgzHQNt7N63EBP5PADkYOQdu2o1L2WXRFCZl5fPmjXr6NWrO+np6ezYsYtTp1IBc1C4YcMmbrppMLm5uSQnp1j2M5lMlgFwShIcHERISLDludFopFmzcLKzsy19LJOTU4iIaErLli0oLCwkLu4wPj7emEwmfHx8iIxsXmbZmzePsBqopw7R0e349tsfbNLUr1/PEhz7+vpy/fUDWL9+E4WFhcTHH+HQoThuv30EHh4epKenW/bLycnh4MFYu15DERERERGxnwlzy0hnplYooDTv+yGFbMCJazAyqiqKV6NcEkElwC+//Mbzzz9JQEBD3nrrPZttn3wynVtvHcattw7D39/P0mQ0Ozub8ePvLzXP3r17WqYKMafP4fjxBN599yNyc83TcMyY8R0TJozlueeewGAw8Mork1i+fDVt27bmnnvG4uZW9shKTz75iGU5JeUkf/01n0WLltqkGTHiZsvy6dNn2LZtB19++Q0AhYWFvP32+4waNYKxY0fh4+NjOb/4+CM8/fS/yzy+iIiIiIicU8hBCvjU6vkGAEz8RiHmloFONAFOnV3/hSXALImBfhjoZ5XfAQp4DfDCmXdL3MfERkz8ZPV8EwAFfIWJJWfL0AEjwyt6etXCKSSkwaU5GUoNVzRP5YQJD1hGfz1f0TyVU6ZMZcOGzRe5hCWbOXM6jz8UyZ7d3tVdFBERERGRSmdiOfncUGYaJ3oAUMjKcvMz8DTOPHs2fSH5DKKQ1Rh5AyMTS9yngG/PjgpbVr634cz/yj1+SfxCWju0n6MumZpKERERERGRC2WgF66kVkneTjjhwtxy0xm5HSO3V0kZqoOCyipiPfhPaZKTUxg1quzJUkVERERERGoyQ3UXQERERERERC5dqqmUYgJrj8UvZU91F0PO8vBwIyKiEXv3xl70OYekdLouNZOuS82k61Iz6brUTLouNZOuS9lUUykiIiIiIiIOU1ApIiIiIiIiDlNQKSIiIiIiIg7TPJViY+bM6XTa9RB+GburuygiIiIiIjVerSkNqrsI1U41lSIiIiIiIuIwBZUiIiIiIiLiMAWVIiIiIiIi4jDNUykiIiIiIlWq0SSISzUvuztD33CYNRrcrKKRibPhk3Ul7+/mDI0C4KFu8EA387ovN8K4n8s/9he3QJ8m0HiyfWUtfN2+dHKOgkoHdenSkbvuGsPJk6d48833SEk5abN94MBrGTPmNkaNGl8lxx82bAgDB17L3Xc/WCX5i4iIiIhUlvEd4WSmeXnuXvhzD/y+C25pfS5N36bmgLMkWfnw8zZ48Deo5ws3tTq3LToUejUq/dgta4GvGzzSveTtiw7A9hPm5bs72X1KYkVBpYNuvHEQ+/cfwsvLg/vvv5tXXpl0UY+/dOkKtm/feVGPKSIiIiLiiH/3PbfsvxBeXgQnztimGd7a/FealrXg0T/MQaB1UHl1OLw1qPwyvHuD7fPsPHhqrjmgDPaCaTfDkJbl5yPFKah0kLe3N7t372PJkuW89tp/6NWrO8uXryoxrZeXJ6NGjaBNmygCAvzJycnl8OF4vv/+Z/bs2QeA0Whk3LjRdOnSES8vLwAmTHiAnJzcEtf37t3TpqZy0KABDBjQl6CgQAyGc11ln3rqRY4cOVqVL4WIiIiISIUVVmBiw9Qs+GWHebm+34Ufe8cJuO172JYAAyPMTWTr+Fx4vlcqBZUXKD7+CIsWLWHUqOFs3LiZzMysYmnGjx9D06ZNmDnzJ1JTU3FxcaZz5448/fRjPPHE85w8eYprrulN9+5d+fjjaZw+bb5tk52dQ9++fUpcby08vDGjR9/KTz/NZvfuvTbbkpKSqujMRURERESqVl4BfLwW/u8fSM6AdnXhvi62aRYfgEd/P/fcaIC6PtCtIfRoVDzPj1bDE3PNQe37N8BDpTSLtZeHh9uFZVCDZWXllJ8IBZWV4qefZtO1a2dGjLiZL7/81mabwWCgU6doZsyYyerVay3rt2/fRffuXejYMZr58xcRFtaAEycSWbduo83+pa23FhDgD8DBg7Hs2rWn8k5MRERERKSazNoOz8yD/Sng5Qr/vgae7QPuLrbpNh0z/5VkZBv47rZzz7/dDA/8du75w7/D0/Ogvi8MbQXPXw2+7hUrZ0REo4rtcAmJibEvtlBQWQkyMjL5/vufueuuMSxevJy4uMOWbf7+fjg7O5Oammazj8lk4vTpM4SEBAPm5q+FJbQBKG29tW3bdnDwYCxPP/0YiYlJ7Nt3gO3bd7J27Qays7Mr4QxFRERERC6ONYfhX3/BqjhwMcIDXeHFa6D2ec1Tx3Yw/50vNx82HIWbv4Hvt8JTvaF9qHlbz0bmwDQz91z607mwYB9MXmYOYGeNrlh59+6NrdgOlyEFlZVkyZLl9O3bm3HjRvPSS69d1GPn5OTy73+/Stu2rYmKaklERDjdunVm+PChvPDCK6Smpl7U8oiIiIiIOOLF+fDaEvPy6Hbwf9dC48CK5eHqDN3DYFgUfLQGdieeCyrDAuC1AcX3Sc6A+m+YR6XNLwBno/3Hs7eJ6OVMQWUl+vLLb3n55efp3bunZV1qahr5+fn4+dn2KDYYDPj4eJOUlFwpxzaZTGzeHMPmzTEA1K9fj8mTX6Ft2yiWLl1RKccQEREREakq322BVxdDRDD8cBu0C72w/DzONpPNM5WfNtgL6nib59LMzgfvCgSVoqCyUh04cIjFi5cxatQIDh+OJyMjE5PJxPr1m7jhhuvIzMwkNTUNFxdnOnUy19Vv2LDpgo/r6elBWFhDy3MnJyfCw5sAcOJE4gXnLyIiIiJS1X7ebn78fNiFB5QAMcfNj7W8yk+bmQspmWBwKn2uTCmdXrJK9vXX31OnTm2aNGnM7NnmXsDTp89g1KgRjBo1wmZKkUmT3uHkyVMXfMywsIa8+OLTluf5+fmkpJzkm29+KDYarIiIiIjIxbQ/GT5Yfe75mnjz46wd5j6MAE2D4OTZSRQ+WQs/bys9v4ERMLA5rIuHmVuKb88tgC3HYfVhCPOH3ua6Fp6eCzn5xdNn5cOKWDiTCwOaVazpq5g5hYQ0qMAMMXK5mzlzOp12PYRfxu7qLoqIiIiIXAaWHISrPys7Te/G5selh8rP7z994aV+8OVGGPdz8e2+blDPD65vDo/2MC8DeP8HMnKLp/dwgcYB0L+ZeUCgQM/yy2Ct1pQGFdvhMqSaShERERERqTJ9mkDh65Wfb2mjv5bmzMuVXwYxM1R3AUREREREROTSpZpKKWbIrPrs3JlR3cWQszw83IiIaMTevbEasroG0XWpmXRdaiZdl5pJ16Vm0nWpmXRdyqaaShEREREREXGYgkoRERERERFxmIJKERERERERcZiCShEREREREXGYBuqRYk5MeYYkF6fqLoZYOVzdBZAS6brUTLouNZOuS82k61Iz6bpUj5C+Y6u7CJcs1VSKiIiIiIiIwxRUioiIiIiIiMMUVIqIiIiIiIjD1KdSRERERETKN3AUHDthXnZzhS7tYcpL4Op6Ls0r78BPf5S8v6sLhNaBUTfByJtKP05BAXz8Nfz4G+QXwN23w9gRxdMlJMJXP8HqDXA8EbKyi6eZ/z3UCbHzBMVRV0xQ+d57k9mwYTNff/1dsW3Dhg1h4MBrufvuB6vs+C+88BSZmZlMmfIBADNnTmfGjO+YN2+BpQwbNmwiLi6+ysogIiIiIuKwmwZC2mnz8op1sGwtLFkN/XufS9Ml2jbItJaTAwuWwWtToVYwXNOzeJqCAnjqVXO6rtGwYy+89xnccj14e51Lt2sf3P0kZGebj9mpHTiXENp4eTh8umK/KyaorG5ff/0dBQWmUrcPGzaEpKRkBZUiIiIiUjNNHHNu2ccbPp4BJ0/Zpunf2zbIPF+TMJj8EazdXDyoLCyEF980B5SD+sJrz8CEJ2BDDJxIsg0qX5xsDlJnfgQRTS783OSCKKi0Ehpah7fees1mXUrKSZYtW8lPP80GIDKyOS+++HSZ+eTm5nLoUBzTpn3F0aPHALjjjttsaiqLWOc3ceJdTJx4FwAPP/wkyckpNGsWzqhRI2jQoB6enp6kpJxk69YdzJz5IxkZGYC51tNadnYOBw8eYtq0r0hIOOHgqyEiIiIiUo7CCqRNPwOLVpiXawcX3/7GB/DHAujdDV59GgxWw7+YrA607xDsPQjXXqWAsoa4ooJKg8EJF5fip2w4+4ZNTj7JK69Msqz38HBnzJhRDB16A8eOHWflyjWWbZ9++gUnTiQC0Lx5M0aMuJmpUz8mNTUNo9HI0KE3MHHiXbz44itlliku7jBvvvkeTz75CL/99hcxMdsASEtLw9fXl6effpyYmK3Mnv07eXl5+Ph4c8stQ7n33vFMmTLVks/8+YtYu3YDAC4uzowYMYxx40bz+utvO/hqiYiIiIhUgrx8+Ol3+ORrOJUGLZrCiBtt00ydDt/9am7G+ta/wdlYen6Hzs7kGX8MJn1ou83gBEEB0KIZdOsATvbPve7h4VbqNjc3V5vHK0VWVo5d6a6ooHLAgH4MGNCvxG0ZGZnk5uaya9ceAGrVCuGJJx7GZDJx/HgCUVEtbYLKQ4diLU1Vvbw8Adi37wDJySkABAcHMWHCnTg7O5Ofn19qmTIzs9izZy8Ax44dtxwfoFu31ri7u/Hpp1+Qk5NrWW80OvPQQ/fi7u5Odra5Q3JCQqLNvg0bNuCmm26w/8UREREREalsC5bBe9Pg8FHwcId774AJo8wD/RT58kf47FtoHQlTX7XdVpKiAXl27zf/laZ9FEx7G0qoVCpJRESjctOEhYXaldflIiZmT/mJuMKCytWr1zJ37oJi66+++io6d+5oeR4V1ZKHHprI4cPxvPvuRzz22AOWwNFeJpMJg8GAq6tLmUFlWYKCAsnKyrYJKAFSU1MBCAkJIj7+aIn75ucX4OmpjskiIiIiUg1idsLbH8OWHeYBdEYOgXtHQ1Cgbbq5/8CUT6BpY/joNbDr9+vZprBjhsMTE8/bVAiJyfDcG7B+CyxdDf162VXkvXtjS93m5uZKWFgocXHHiv02lyssqExNTWf//oPF1rdt29qy3Lt3T+66awxLl67gyy+/paCg4GIWUURERETk0vbBFzBtpnl5cD+4fyzUr1ty2rc/Pvv4H/DztS9/Q1HT2BI6dDo5Qe0QuO5qc1AZa/8gmPY09czJybW7SeiV5IoKKssTGBjAXXeN4Y8/5vHjj79ctOMWFpbcwzkl5SQeHu64urqSm3vujoi/vx8ASUkpF6V8IiIiIiJ2+esf+PQbCKsPb75o7j9ZFk9PIAWGjC073bAJ5se534L/2eDzVFrp6YuavOY51mJQKkZBpRVPT0+cnZ1xcnIiMrK5zfrMzMwqO25WVjZnzpwhKqolSUnJAOzff4AtW7aRnZ3D3XePZfnyVeTl5eHt7c1NNw1mw4bNlv6UIiIiIiI1woJl5seXnyg/oAT4eBL8Pt88/2VJFS0Llpmbsw7uZ67J9PaENpHg6gIr1kPKyeJNagF2HzA/BgU4fi5iNwWVVo4cOcoff8yjb9/eDBlyvc225OTkKj32tGlfMXr0SHr27Aacm1Jk0qQpjBo1gocfvg9PTw9OnjxFTMx2Zs78sUrLIyIiIiJicfioeXTWIlt3mR8XLjNvA2hYD9LTzcs//3EuwCxJj07QszOE1jYP3lOaPQfMQeW4kdCs8bn1428zz5M56A7o3hGCA819N/PyIe4IrNtsnkvzmh4Ona5UjFNISIOKzC4jl7mZM6fzUKATu13sH35ZRERERC5z67fAXf8qO03HtubHDTHl5zdxDNx/Z/npxj9uzm/WNNugEmD+Upg91zwCbFo65BeYB/oJCYSuHWD0MHMzXDuF9B1b6jYPDzciIhqxd2+s+lSWQDWVIiIiIiJStk7tYOuii3/c6VNK39a/t/lPqp2hugsgIiIiIiIily7VVEoxtR9/g5Sd9k10KlVPzS1qJl2XmknXpWbSdamZdF1qJl0XuRSpplJEREREREQcpqBSREREREREHKagUkRERERERBymoFJEREREREQcpoF6pJgTo34mKcuvuoshVg5XdwGkRLouNZOuS82k61Iz6brUTLouVSvkvw2ruwiXHdVUioiIiIiIiMMUVIqIiIiIiIjD1PxVRERERETOebkRnIozL7u4Q7O+MH4WOLudS/PjRFj1Scn7O7tBYCPo9RD0eqD045gK4O//gxUfgSkfrn0ernni3PZvx8L6r8ov74D/wHUvlZ9OqoyCShEREREROafLeMg8aV7eNRd2/gnbf4d2t5xLE9EXnN1L3j8vC2J+hlkPgl89aHNT8TSmAvhqpDldRD+I3wB/PAPd7wF3X3OaFv3Bw7/4vtlpsOFrcx7+9aHloAs5W6kECiqrkNFo5KabBtOjR1eCg4NwdnYmJyeHI0eO8eef81izZn11F1FERERExNbAf59bnusPf78Mp0/Ypmk33PxXmjotYfajsG9R8aCysBBmjjMHlB1Gwe1fw4fXwIGlkHrEvC+Yt3UYZbvvoVXw9e3mgLLdCBjxMXgGOHiiUlkUVFahe+4ZR+fOHfj11z85ePAQ+fn5eHi4Ex3djocfvg8XFxeWL19V3cUUERERESlHof1JM1Nh6y/mZb/6xbf/8rC5prHVDTDqKzBYDfNSaCo5T1MBzP8vzP8/cPUy79d5jP1lkiqloLKKBAYG0KNHV2bP/p05c/6w2bZpUwx169bhppsGs3z5KurWrcMdd4ykWbOmeHl5WtI9/PCTJCenUK9eKKNH30qTJo3x8fEmLS2N3bv38c0335OSYm6a8N57kwkJCbbsm5ubx5EjR/nii685cODQxTlpEREREblyFeTByo/N/SQzkqFeO+h5n22aP1+A5R9As6th7I9gtCMcOXXYXDt5cAU07gGjv4GgRlVxBuIgBZVVpH79UAwGAwcOHCxx+4EDBxk8+Dr8/f146qlHOXEikf/97zOysrItadLS0nBxcbZs//jjz8nOzsbDw4MbbriOxx9/iBde+D8KC813jtau3cD8+YsAc9PbQYMG8MAD9/D4489W/QmLiIiIyJUrZhb8/gwk7zfXJA74N/R71jzQT5F/3oIF/4WwLjDhN9ttZfmwrzlfgEMr4dUm4BUCoa2h7zPQvF+Fiurh4VZ+ovO4ubnaPF4psrJy7EqnoLKK+Pn5AZCTk1vi9qL1derUpnbtWkya9A4JCSeKpYuMbE5ISDCTJr3DsWPHLetPnz7Nyy8/T/36ocTHHwXg5MlT7Nq1x5LGy8uTRx65Hy8vLzIyMirt3EREREREAIhdA3P+Ze7raHSBng/AgBfBp7Ztuk3fw29PQt0ouOcvcPO2/xj9X4Sjm819McHcRDZ5P+yeBweWwaOroUEHu7OLiGhk/7HPExYW6vC+l6KYmD3lJ0JBZbUrarKanp5e4vagoEAAUlNTbdafOpVq2b8oqDxfQUEBAB4e7goqRURERKRy/fUiLHjNvNxxNFz3fxDUuOS0c/5lfhz7M3gFVuw4nccAJfSf/PVfsGQK7PyrQkHl3r2xFTs+5hrKsLBQ4uKOlVppdCVTUFlF0tLSgNKryIvWFzVdFRERERG5ZGz8Dua/CiERcOcPUL9d2endfMyPr7coO92k1ubHFw+V32+y7tm02WnlldaGvU06S5KTk3tB+1+uFFRWkSNHjmEymWjSpDFbtmwrtr1Jk8YkJJwgOTkFAF9fHzIzs4qlKxqIx9/fz2a7v7+5eW1SUnJVFF9EREREpHQxP5sfb/u8/IASYOLfsH6Gef7LkipVYn6GtKPmGk/PoHNzVZYlNd786Opld7GlaiiorCInT55i9eq1DB48kPz8fA4diiM/Px93d3fat29Dy5Yt+OST6Rw4cIjExCTGjLmdBQv+ITv73EA9+/cfYP/+AyQlJTNmzCjmzVtITk4OHh7uXH/9QA4diuPIkWPVeJYiIiIicllJ2m8enbVI3BrzY8ws8zaAkKbm4BBg1Sew5efS84scaP4LDDP3tSzN0S3moLLv0+Z+lwD7FsO2OSUkLjSn3fEHODlBiwH2np1UEQWVVejjj6dz002D6dOnF7fcchPOzs7k5uYSH3+UqVM/ZvXqdQBMnvwud9wxkgceuBtPz+JTihRtv+++CWenFEln9+69fPTRZ2o+KyIiIiKVJ/UILHuv+Pr9S8x/AOG9z63f8E3Z+Xn4m4NKR8RvLLksBqO5NjO8N/R6EBp3dyx/qTROISENFJWIxcyZ03noYCd2Z/lVd1FERERERCpdyH8bVngfDw83IiIasXdvrPpUlsBQ3QUQERERERGRS5eCShEREREREXGY+lRKMbVn3kLKTvsmOpWqp+YWNZOuS82k61Iz6brUTLouNZOui1yKVFMpIiIiIiIiDlNQKSIiIiIiIg5TUCkiIiIiIiIOU1ApIiIiIiIiDtNAPVLMiSnPkOTiVN3FECuHq7sAUiJdl5pJ16Vm0nWpmXRdaiZdlwsX0ndsdRfhiqKaShEREREREXGYgkoRERERERFxmJq/ioiIiIhciQaOgmMnzMturtClPUx5CVxdz6V55R346Y+S93d1gdA6MOomGHlT6ccpKICPv4Yff4P8Arj7dhg7oni6hCSY8ROsWg/HEyE7B7w9oXFDuPYquHUIuLs5eLJSlRRUioiIiIhciW4aCGmnzcsr1sGytbBkNfTvfS5Nl2jbINNaTg4sWAavTYVawXBNz+JpCgrgqVfN6bpGw4698N5ncMv14O11Lt3OvXDPU5B+GqKaw8A+4OkJJ1Nh2y54+xOYuximTwFPj8p6BaSSKKgsx3vvTSYkJNhmXW5uLomJSfzxxzyWLVtZTSWzddVVPZg48S4mTHiAzMws7r13PGFhDXnuuZequ2giIiIiUhNNHHNu2ccbPp4BJ0/Zpunf2zbIPF+TMJj8EazdXDyoLCyEF980B5SD+sJrz8CEJ2BDDJxIOhdUFhbCC5PNAeXTD8DtN9vmk5cPz70Ofy+BqdPNaaRGUVBph7VrNzB//iLLc4PBQFRUS+65ZxxxcfHExWmMLhERERG5DBRWIG36GVi0wrxcO7j49jc+gD8WQO9u8OrTYLAazsVkdaC9B2H/IQj0h1FDi+fj4gz3jDYHlX/9A0/dD06aqaAmUVBph5MnT7Fr1x6bdXFxhxky5Hrq1w/l9ddfYsaM75g3b4Fl+8CB1zJmzG2MGjUegNtuG07Pnt3w8/PFYPWBGjfuPkymAsaNu4Po6Hb4+vpYtp0+fZp7730EgCZNGnHbbcNp3DgMNzc3Tp48xdq16/nhh18oKCioytMXERERETknLx9++h0++RpOpUGLpjDiRts0U6fDd79Cp3bw1r/B2Vh6frHx5sf6dUsPFsPqmR9PpUJqOgT4XeBJSGVSUFkBRqMRg8EJg8FA69atAEhJOVnufl26dOKGG67js8++JCHhhM223Nxcrr9+AN27d+V///uM9PTTlm1FwaK3txfPPPM469Zt5Pff/yIvL5+goEDuuOM2srKymT3790o8SxERERGRUixYBu9Ng8NHwcMd7r0DJowyD/RT5Msf4bNvoXUkTH3VdltJsnPMj6X13Tx/W1Z2uUGlh0flDujjdvYc3Mo7l8tMVlaOXekUVNqpZ89uTJx4l6WWsaCggOXLV7Fnz75y9w0I8MdkMrF3736OHj1WwvYA8vJy2bNnH6mpacW2t2vXBnd3d77++ntMJnOguX//Adq3b0urVpEKKkVERESkasXshLc/hi07wNkZRg6Be0dDUKBturn/wJRPoGlj+Oi1ahtUJyKiUZXkGxYWWiX51lQxMXvKT4SCSrsdO3Yck8nEsWMJfPjhJyQnp5CRkWnXvmvWrGPgwH5MmvR/HDuWwIEDB9m6dTvr1m2koKCAxYuX0aNHV6ZOfYv4+CPs33+QLVu2snnzVgoLCwkKCsLZ2ZkvvvhfsbxjY9WfU0RERESq0AdfwLSZ5uXB/eD+seamqiV5++Ozj/8BP1/78i+aJiQ3t/Q01ts83MvNcu/eWPuObSc3N1fCwkKJiztGTk4Z5bxCKai008GDsXz55bdMmHAn0dHtKlQ7mJqaxpNPvkB0dDtatWpBRERTevfuyeHDR/jPf17lyJGjPPbYM3TqFE1kZHNatYqkX7+r2b59J6+//jZGo4GsrGxef/2tYnnn5NhXJS0iIiIiUmF//QOffgNh9eHNF839J8vi6QmkwJCxZacbNsH8OPdbaNTAvBx/HEwm2wF9isQeMT8G+IF/+cGqvc02KyonJ7fK8r6UKaisgH/+WUqDBvUYNmzI2drGHQBkZWXjXFbnYyAvL4+1a9ezdu16ANq3b8uTTz5CeHgTdu7cTVZWFsuWrbRMUdK//zWMHTuakJBgMjMzcXNzJT7+iO6MiIiIiMjFs2CZ+fHlJ8oPKAE+ngS/zzfPf1lYwlCyC5ZBYrK5xtPPF7w9IbS2ubns/kPw7S9wxy22++Tlmac7AfPUJBr5tcZRUFlBX3/9PaGhdXnggXt4/vn/Izk5hQMHDtKzZ3eSk1PIz88HoEGD+pZ9/Px8CQ0910TAycmJVq1aUFBQQHJyCsHBQTZzYRqNRpo1Cyc7O5vU1DTWr9/ELbcM5f7772Hx4mU2tZOnTp0iISHxIpy5iIiIiFw2Dh81j85aZOsu8+PCZeZtAA3rQXq6efnnP84FmCXp0Ql6djYHiPfeUXq6PQfMQeW4kdCs8bn1rz4F9z4Fb/7PXDsa0dhc63kqDbbuhCPHoVVzeHCcQ6crVUtBZQWZTCbef/9/vPzyCzzyyP28/PLrTJ/+NRMm3Mk994zH3b34SFNt27Zm4sS7LM9zc/NITEzi448/JzExiWHDhjBs2BDL9uzsHI4fT+Dddz8iNzeXlJSTTJ78DiNG3MwDD9yDl5enJe38+Yv48stvq/akRUREROTyciLJXCt4vvUx5j+Ajm3Prf9jYdn5+Xibg0pHtYyAnz6DGT/BqvUwdwnk5ICXJzRuCLfeCCNvKn8kWakWTiEhDSoyxalc5mbOnM5DgU7sdlGzAhERERG5NIX0HVup+Xl4uBER0Yi9e2PVp7IEJfSCFREREREREbGPgkoRERERERFxmPpUSjG1H3+DlJ32TXQqVU/NLWomXZeaSdelZtJ1qZl0XWomXRe5FKmmUkRERERERBymoFJEREREREQcpqBSREREREREHKagUkRERERERBymgXqkGK+27akV2rC6iyFWjgM+IQ3xqe6CiA1dl5pJ16Vm0nWpmXRdaiZdF/slLlxQ3UUQVFMpIiIiIiIiF0BBpYiIiIiIiDhMzV9FRERERC5je3/7kbyMMwA4GY141Q6lQc9rMBiNljTH1q/k1P6S5yl3Mhhx8fImMCKSoIiWAOz4brpdx252w3DyMs4Q+8/cMtMZXFwJjIikdpsOduUrNYuCyipgNBoZMuR6evToSkhIMM7Oti/zyy+/zp49+y74ODNnTmfGjO+YN09tyUVERESkZP5NmlGQkwPAmeNHOHMsntNHD+PXsLEljVftUJwMxhL3LywoID0+loSNa3Dx9MK3fhiBZ4PL82WdTCYrOREAn3oNcXb3oLCwsNT0RU4d2Evyzq3UimqPk0GNKS81CiqrwN13j6VLl47MmfMnBw8eIi8v32b74cNHqqlkIiIiInKlqRXV3rKcuG0TSdu3kJ+dZZPGr2FjmyDzfG5+/iRsWktGwjF864dRt0NXm+2FhYUk74whKyUJg7Mztdt3JrBpC/O+Pr7F0lvLPZPOqf17cPX2VUB5iVJQWcn8/f3p2bMbc+b8ya+//lFquo8+egd/fz/L8zNnzrBt2w6mT/+GjIwMAG67bTg9e3bDz88Xg9UHbNy4+8g5e7cJIDg4iHffncT33//MH3/MsznOCy88hZOTE6+8MqmyTlFEREREriAFuTmkx8cB4OzpVWx7XmYGR1YvJTMxAY/AYOp1742bj1+xdCUpLCzk6NoVFJoKqBXVrjKLLReRgspKVr9+KAaDgX37DljWGY1GDAYny3OTqZB33vnA0izWycmJG28cRLduXcjOzuGzz76kS5dO3HDDdXz22ZckJJywOUZubq7N8+TkFDZtiqFv3z42QWVISDAtWkTwv/9Nq4pTFREREZHLWKHJxMn9u0navoWCnGzc/QMJbNbCJk16fCzH1q2gIC+P4FZtK9x89dT+3WQmJuAdWh+/RuGVfQpykSiorGQBAf4ANjWJjzxyHx07RlueL126gk8+MXdudnNz5b77JhAR0ZRdu/YQFdXSko/JZGLv3v0cPXqs3OPOn7+I5557grZtWxMTsw2Aq67qQWZmJuvWbais0xMRERGRK0B6fCwntmwg90w6BmdnQqLaEdyyDQbjufAhIymB+BX/WJ4n74ghZdd2nD088K5bj5Co9rh4eJZ6jNyMM5zYsgGDswuhHbs7VE4PDzeH9qsoNzdXm8crRVZWTvmJUFB5Ucyc+RO//fYXAPfdN8GyPjg4iH/962E8PT14+eXX6dgxmoEDrwVgzZp1DBzYj0mT/o9jxxI4cOAgW7duZ926jRQUFBQ7xvbtOzly5BjXXnu1Jajs1as7K1asKdanU0RERESkJJnJiSRsXkdWciJOBgOBzSIJadUOZw+PYmnd/QIIiWpHgVUrusKCAjKSEji1fw9ZKcmEDxxS6rGOrVuJKT+POh264uLl7VB5IyIaObSfo8LCQi/q8apbTEzJIwKfT0FlJTt1KhUAN7dzd02sm6/m5Jg/dI0aNeTppx/nxIlEXn/9bdLT021qM1NT03jyyReIjm5Hq1YtiIhoSu/ePTl8+Aj/+c+rlnyszZ+/iLFjbyc4OIiQkGBq1Qph8eKlVXSmIiIiInI5ObF1I8k7twLg1yicWq2jcfX2KTW90dWNWq2ji603FRSw7/efyD6VQl7GmRIDxlMH9pKRcBTPkNoENot0uMx798Y6vG9FuLm5EhYWSlzcsRJ/h1/pFFRWsqNHj2EymQgPb8yWLVuLbffy8iQrK4sHH7yX+PgjTJ78Lvn5Jdck5uXlsXbtetauXQ9A+/ZtefLJRwgPb8LOnbuLpV++fBUjRw6jb98++Pv7sW/fAeLjj1buCYqIiIjIZSct9gDJO2Jw9fGlfo+r8QgIcjgvg9GIq48v+VmZFOTl4XLe9rzMTBI2r8PJYCS0c0+cnJxKzMce9jbPrCw5ObkX/ZiXAgWVlezUqVSWL1/F9dcPIDc3j0OHYikoKMDNzY22baMICQlm16699OjRlRMnEomIaEphYSFgbg5bxM/Pl9DQupbnTk5OtGrVgoKCApKTU0o8dk5ODgsXLmHgwH4YDAa++OKbqj1ZEREREbkspMXHAhDapecFBZRgHtE1PzMTAINz8XDj2PqVmPJyqdWmA26+9o0SKzWbgsoqMG3aVyQnp3DNNVcRFHQTzs7O5ObmkZKSwg8/zGL9+o24uDgzcuQtPPfcEzbThWRkmD+Abdu2ZuLEuyzrc3PzSExM4uOPPycxManUY//002w8PT3o0aMbq1evq7qTFBEREZEaL+d0Oif37rQ8z0ox/45Mj48l93Q6AK4+vhTkmmvfTu3fQ/rh2FLz865bH5/Q+iTt3Ep+Vmax7YUmE9knk8k9k46rr1+xpq+ph/Zz5lg87v6BBEe2vtDTkxpCQWUVKCgoYNasOcyaNafUNKtWrWXVqrWlbl+2bCXLlq0s8zijRo23LAcHB+Hj44OXlyft2rVh8eJlNiPQioiIiMiVJz8zwyaoLJKZmEBmYgIAnrXqWNanxR4oltaa0dUVn9D6pMXuJycttdh2J4MRF08v/MMjCGnVzqZpa35WFgmb1oKTE6FdelZo6hGp2RRUXiaGDRtC7949yc7OYevWbfz886/VXSQRERERqWZetevS6rbx5SesoKaDbq7wPs4eHrQYdnull0Wqn4LKy8Qnn0y3zH0pIiIiIiJysajOWURERERERBymmkopJiNmM4k77ZvoVKqeh4cbERGN2Ls3VkNY1yC6LjWTrkvNpOtSM+m61Ey6LnIpUk2liIiIiIiIOExBpYiIiIiIiDhMQaWIiIiIiIg4TEGliIiIiIiIOEwD9UgxJ/q0J6ldw+ouhlg5DNBK16Sm0XWpmXRdaiZdl5pJ16Vm0nUpLmTmguougpRBNZUiIiIiIiLiMAWVIiIiIiIi4jA1fxURERERuRxM/xFOnzEvG43QIBSuvwacjefSLFoJ20uZj9xoBF9vaBsJbVua17033b5jjxsOvj4lb8vKhiVr4OBh8HCHfj2hYah9+colQUFlFenVqzuDBw+kdu1auLq62mybMOEBWrZsgaenJ8uWray0Yw4bNoSBA6/l7rsfBOCFF54iMzOTKVM+qLRjiIiIiEgN1aoZZOeYl2OPQGw8HDoMzRqfS9Mw1DbItJZfAPtjzQGgtxeEh0G7liWnPZEMxxPNy00agqdHyekysuCXuXAyFZo2Mue/cgM0vLHi5yc1loLKKtCsWTj33jue33//ix07dlNQUGCzPTs7hw4d2hMSElypQaWIiIiIXMG6tD+37LYJ1m6BzCzbNM0a2waZ5wv0h2VrIf6YOajs3dV2e2EhrI+BE0ng4gy9OkPrFiXnlZ0Ds+eZA8qru0ObFuaaz6LaVLlsKKisAhERTTGZTPz442wKCwuLbX/vvcmEhAQDMHOmuUnBrFlzmDVrDoGBAdxzzzhatIjA1dWV2NjDPPfcS3h5eTJq1AjatIkiIMCfnJxcDh+O5/vvf2bPnn0X9fxERERE5DKUkwMH4szL3l7Ft5/OgL+XwtEEqB0MA3pDgF/JeeXmwZz5kHIKenQ0B5RFSvh9LJc2BZVV4OjRYzg7O/PQQxP588+/OXDgoM32qVM/5vbbb8XNzY2vv/4OgKSkZADuuGMk/v7+TJkylby8fLLPNmEYP34MTZs2YebMn0hNTcXFxZnOnTvy9NOP8cQTz3Py5KmLe5IiIiIicnkoMMG23bBui7n/Y0hg8drH/bGwcIU5WOzUFrq2B0MpY37mF8AfCyEhCTq2Mf/JZU1BZRXYsmUbs2bN4YYbrqNr106cOpXK5s0xLFu2kr1797N//0FOnz5NQUEBu3bZdpQOC2vIli1b2bp1h2WdwWCgU6doZsyYyerVay3rt2/fRffuXejYMZr58xddtPMTERERkcvEvlhzH8e0dHNz1s7toFMbcLYKE44mwJ//nHu+PgY2bQcvD2hYzxxgenmat5lMMHcxxB8310726FgpxfTwcKuUfBzl5uZq83ilyMrKsSudgsoqMmvWHObNW0DHjtFER7ejW7cuXHNNb5YsWc6nn35R6n5Go7FYiwB/fz+cnZ1JTU2zWW8ymTh9+oylKa2IiIiIiF2OJ8LydeZHgwHaRJoDSq8SBtwJCjBvy809ty6/wBxsbt8Diclw2xDz+sWrzaO8tgiHPt0qrbgREY0qLa8LERZ2ZY1aGxNTykjB51FQWYUyMjJZunQFS5euwMXFhZtuGszQoTewdOmK6i6aiIiIiFypVm+E9VvNyy3CoWs0+JUyHQiAuxt0iy6+Pr8AvvwJElPMg+/kF5iDTB8v6NcLnJwqrch798ZWWl6OcHNzJSwslLi4Y+Tk5Ja/wxVGQeVFkpeXx8KFixk69AZ8fHwwmezvoJyamkZ+fj5+frYdoQ0GAz4+3pb+mCIiIiIiZdpzANbFgL8vDLoaQoIcz8vZaM4nIxNy8sDNxVzreToDPviy9P2yc8yjwPp4w/gRdh3K3maYVS0nJ7fGlKUmUVBZBTw9PQgLa2izztnZmV69upOdnc3+/Qdo0SKCZs3CadOmFXl5+SQlJZOcnFJifiaTifXrN3HDDdeRmZlJamoaLi7OdOrUAYANGzZV+TmJiIiIyGVgX6z5sV/PCwsowTyK65lM87KLszlIHHadeX7MvPyS99myE4xGaN3cXAMqlwUFlVUgLKwhL774tM267Owcjh49xpQpH5CamsYff8yjceMwnnjiEZydnS1TipRm+vQZjBo1glGjRthMKTJp0jsa+VVERETkSpeaDjE7zz1PSDI/7o81bwNzrWLO2Vq27XvM20oTVh8a1YcNW801kecrMJn7Uqalm6cV8fU2rw+tbf4rzZad5gD0/Pkv5ZLmFBLSQBPFiMXMmdN5aMV8dqeWXGsqIiIiIjXQkeMwa27ZaerVMT8eTSg/vy7tzH0tv/kFUlKLbzcazXNZ1q9jHsSnKKgsz3vTzTWU995uX/qzQmYuqFD6yubh4UZERCP27o1V89cSqKZSRERERORSV78uPDK+8vMdfXPl5lcVZZRqV8qMpSIiIiIiIiLlU1ApIiIiIiIiDlPzVymm9pLNpOy0b6JTqXpqw18z6brUTLouNZOuS82k61Iz6brIpUg1lSIiIiIiIuIwBZUiIiIiIiLiMAWVIiIiIiIi4jD1qZRi5gw7gt/A+OouhtjYD32ruwxSnK5LzaTrUjPputRMui4XU60pDaq7CCJVQjWVIiIiIiIi4jAFlSIiIiIiIuIwBZUiIiIiIiLiMPWpFBEREZEaodEkiEs1L7s7Q99wmDUa3Kx+sb60EF5eZF52coLwQPhqOHQPK57f0oPwv7Ww5jAkZkBWnjmv2t7QtQE82gO6We039if4alP55Tz0FDQKcPg0RS47V0RQ+d57kwkJCbZZl5ubS2JiEn/8MY9ly1by3nuT2bBhM19//d0FHy84OIj333+TKVOmsmHD5gvO73yRkc158cWnefbZ/xAXpwF1RERE5PIwviOczDQvz90Lf+6B33fBLa3PpenaAB7pbl6OS4Vfd8Jri+GPsbZ5rYiFa6aBqxEGRkB9PzA6QU4BxJ/d7+ft8OsdcEOk7b43RkLjMoJGX7cLO0+Ry80VEVQCrF27gfnzF1meGwwGoqJacs8944iLi2fq1I85ffpMpRwrLS2NV16ZxJEjRyslPxEREZErwb+tRqL1P1sjeeK8n2cDm5v/AGJPmYPD89MA/LQNTIXwwY1wV6fi27ccg04fwlNziweVd3eCwZHF9xGRkl0xQeXJk6fYtWuPzbq4uMMMGXI99euHMmLEzTY1leHhTbj99hE0ahSGu/u521GjRo0vd7ufnx8vvvi0paby5Zefp1mzcEuarKxs9uzZx/TpM0hOTgEgMDCAe+4ZR4sWEbi6uhIbe5jnnnsJb28v7rxzFK1bR+Hr61Piubm4OHPLLUPp0qUjwcFB5OXlcexYAr/8MoeNG7dUyusnIiIiUh0KC+1IU8K69BzzY3hQyfu0C4WIYNiZCMkZEOzlcBFFrnhXTFBZxGg0YjA4YTAYaN26FQApKSdt0vj6+vLMM4+xZctW5sz5k9zc3AptP98XX3yNh4eH5fnVV19Fz57duOeecbz22lsA3HHHSPz9/ZkyZSp5eflkZ5u/CcePH0OTJo346quZpKamAhAW1pAxY26z5Dds2E306dOL7777iRMnEjEajbRq1YLHHnuQF198lUOHYh16rUREREQuVT6u5sdj6aWnCTkbSJ4fVH62HhbuP/fczdncfPb6FtAksPLLKnKpu6KCyp49uzFx4l0YDOZBbwsKCli+fBV79uyzSde2bRQeHh58+ukX5OXlF8unvO3ni409DJib3I4Zcxtdu3Zi27YdREY2x2AwYDKZCAtryJYtW9m6dYdlP4PBQMeO7ZkxYyarV68tNf9u3TqzePEylixZblm3fftOOnXqSPfuXRRUioiIyBVnQARMXQ0PzIG/90KAR/E0+80Nxsg32a7/bVfJeT72J7w3GB7o5liZPDzK74zp5uZq8yg1w5V6XbKycuxKd0UFlceOHcdkMnHsWAIffvgJyckpZGRkFksXHBxEVlZ2qQFjedtL4u3txSOP3E9YWAMmTXqHoKBAWrduhbu7G5mZWRiNxmLNO/z9/XB2diY1Na3MvIOCAktMk5qaSkhIKW0+RERERC5j17eAGcPhozXw+244lVV6Wicn8+OXw81/5zuTA7O2w/hZ8OICuK8LGByYmC8iopHdacPCQit+AKlyV9p1iYnZU34irrCg8uDBWL788lsmTLiT6Oh2zJ79+0U5bnBwEM8//yQFBQX8+9+vkpCQyFVX9bgoxxYRERG5Ut0Rbf4rTacPYMNR8Cqn8snbDe7sAJOXmftgnjgDdX0rXp69e2PLTePm5kpYWChxccfIySm7i5VcPLouZbuigkqAf/5ZSoMG9Rg2bAgHDhy0aW5aJDk5BQ8Pd1xcnEusjSxv+/nuumsMubm5vPzy62RmlnGb7DypqWnk5+fj7+9XZrqUlJMlpvH39+PQoTi7jyciIiJypcgrgAMnwdsVGpT9U8vCw+Xsvqay05XG3qaEADk5uRVKLxeHrkvJrrigEuDrr78nNLQuDzxwD88//3+WEViLbN26naysbCZMGMvKlWvIy8uzbNu1a0+528/n4+NDbm4eTZo0pqCgAIDQ0LrlltNkMrF+/SYGDRrAmTMZpKWZe5qHhTW0Sbd69TquvroXx48nkJiYhNFoJDKyOXXq1GbVqtL7YoqIiIhcqd5ebm4SO74jGO1oyno6Bw6eNKcN8qz68olcSq7IoNJkMvH++//j5Zdf4JFH7ufll1+32Z6Wls7kye8watQIHn30gWJThpS3/Xzff/8zY8eO5plnHrcMEmSvL774mjvvHMXYsaNLnVJk1qw5GAxODB16A8HBQeTn53P06HHeeecDDdIjIiIil4T9yfDB6nPP18SbH2ftODegTtMgOJkFJ88OiVE0bUh8Gjxq1avp330hLRveW1n8OFn5sOmoudlrsyCYNPDctplbYF188X0y8uCfA+YgdHjr8pvLilxpnEJCGtgx+49cKWbOnE6nXQ/hl7G7uosiIiIiV5AlB+Hqz8pO07sxxJ6CuNSy0x16Co6kQa9Pim/zcTMHk0NawqM9wNf93LaxP8FXm2zTOzmZayabBMCtbeD+ruDuYtcpFVNrSoNy03h4uBER0Yi9e2PVzLIG0XUp2xVZUykiIiIiNUufJlD4evnp7NUooOL5lTb6q4iUzYHBkEVERERERETMFFSKiIiIiIiIw9T8VYoZMqs+O3dmVHcx5Cy14a+ZdF1qJl2XmknXpWbSdRGRyqKaShEREREREXGYgkoRERERERFxWIWav7Zs2YK8vDz27TtQ4nZPTw+uu64/4eGNyc3NZfv2nSxevJyCgoJKKayIiIiIiIjULBUKKp977gmSkpJ57LFnim1zcXHhpZeeIzS0rmVdx47R9OrVg1dfnUReXv6Fl1YuijdOHME5qYSZf6X6HN5f3SWQkui61Ey6LjWTrkvNpOvisEEh5c85KXKlqHDzVycnpxLXDx9+E6GhdTGZTCxbtpK//vqb06dPEx7emMGDr7vggoqIiIiIiEjNUyl9Kl1cXLj66t4A/PjjL3z66RfMnPkTb7zxDgCdO3esjMOIiIiIiIhIDVMpQWXHju3x8HAnPz+fRYuWWtbHxR0mIyOD2rVDKuMwIiIiIiIiUsNUyjyV0dFtAdizZx9ZWVk227KysvHy8qqMw4iIiIjIJeRG4PjZZTegEzAJcLVK8ynw2dllJ6A+8B+gbQn5pQHTgTVAApB9dr0HUBfoDowDvM+uzwR+ABafLUfa2WN4Ag2BPsBtgLvDZygiUAlBpZOTE23atAYgJmbbBReopnnvvcls2LCZr7/+rkryf+GFp8jMzGTKlA+qJH8RERGR6nIDkH52eRWwAlgO9LVKEwWMPLucACwBvgTeKSG/54B1QO2zeRRVW5wG1gIzgMPAm2fXP3V2fWPgKszBZOHZMu0APjpbnk+ppJoWkSvUBX9+IiKa4uXlCcCWLZdfUCkiIiIijrnbatkHc41kynlpup/9AziGOag8Pw1AAbAFc43nd2fzs5YCXA9sOvs8HXNAGQrMpPiP3kLgWWAR8A/Qv/zTEZFSVCiozMrKwtvbtilrly7mQXiSkpI5dux4Sbtd1q677lr69u1DrVoh5OcXcPz4cWbN+o1Nm7YA4OHhwW233UKHDu0JCPC37Pfxx5+zbNnKYvnVqVOb0aNvpVmzcLy8vEhNTWPLlq3MnPkjmZnmpsXXXnsNN944iKCgQACmTJnKhg2badu2NSNGDKVevXq4uroA5uvyyCNPVe2LICIiIlLFCoE8IITiASVAEOZmsDlnn2ecfaxDyT94nYB+mIPKLSioFLkQFQoq4+OPEhHRlHbtWrNlyzYCAwPo1asHACtWrK6SAtZkvXv3ZNiwm/j22x84cSIRg8FAu3ateeSR+3jqqRc5cSKRu+4aQ3h4Y7799gdOnUq17FtSAG40GnnqqUeJjz/KRx9NIzc3F19fH0aOvIXRo0fy6adfUL9+Pe68cxQ//TSbvXvNc0sdOXKU+vXr8a9/PcSCBYv5/vtZ5Oeb5wXNy8u7KK+FiIiISFVyBtoAW4H5QE/MzVnBHEAuAM4A3c6uK9qWjDkgLWlSvICzj6kOlMfDw82Bvcrn5uZq8yg1w5V6XbKycspPRAWDyhUrVhMR0ZRHH32Q2Ng4QkPr4OHhTlZWFgsXLnaooJeyHj26snHjZlasWGVZd+DAQQYNGkDz5s1ISkqmc+cOfPnlt6xatbbc/Jo2bUKdOrV58833SE5Otqxv0qQxXbt2AiAsrAEGg4GFCxeTkZFpSXPttdeQnn66yvp+ioiIiFS3ScAbwPOlbB8APHl22Q+IBHYB9wDNAON56RPPPhY4UJaIiEYO7GW/sLDQKs1fHHOlXZeYmD12patQUPnPP0tp1aoFXbp0omnTJgCYTCY+/3wGaWnpJe7j5FTSfaHLQ3BwEFFRLenVq3uxbZ6envj7++Hs7Ex6esmvTUn5Abz99mvFthUFkEaj+euwsLDQZntQUBDp6acrVH4RERGRS8kszAP+NAFaYTtQTwzm/phNgbFn108GPsfct3IH5uazJXHk1+revbEO7FU+NzdXwsJCiYs7Rk5ObpUcQypO16VsFR6oZ+rUT1i4cAnh4Y3Jzc0jJmYbJ04klpr+xRdfxWislOkwaxyDwcDq1WuZO3dBsW1JScmWALAi+QG89tpbZGdn22wrKDA5XlARERGRS9wuzAP9tMM8Wuv5gWA+MAH4EOgKtMDcn7K0Wk0wj0b7GI5NKWJvs0BH5eTkVvkxpOJ0XUrm0Oivu3btYdcu+6pC7a2luxRlZpprD/fvP1jidoPBQH5+Pj4+JXUnLz2/kydPcuxYQoXKkpKSQtu2URXaR0RERORScejsY0tKrll0xjy35Q7gIOag0t48G19w6USubBUOKt3d3enVqzuhoXUAOHEikZUr13D69JlS9/Hy8rTp/3epqV07hI4d2xdbv3btRoYNu5HBgwdy6FAcJtO52sRDh+LIzs5m/fqN3HDDdWRnZ5OammbZfuzY8WJNhnfs2E1ycgp33XUnc+fOt3nNzpw5Q3z80VLLuH79Rm66aTCjR99KTMx2m4F6Sgt6RURERC4V3mcf95Wy3QQUTW5nz+38VOB7zP0s+11QyUSkQkGlt7cX//d/L1CrVojN+htuGMTzz/8fqampxfapVy+Uf/3rIR5//NkLKmh1io5uR3R0u2LrH3/8GQoK8rnmmt4EBQXi4uJi2fb88//HoUOxTJ/+NbfdNpw77rgNf38/y/aSphTJzs5m0qR3GDVqOHffPQ4fH2/Ltk2bYnjrrfdKLWN8/FHeeedDbrnlJvr1u0ZTioiIiEi1igd+tHq+/ezjP2e3ATQA0jDPKQnnpgE5Abxtte8EoDNQF1gPjAKiMM9ZCeZRX7cCh8+m6XR2/c9A3HnlKsQ8p+Was8d7FKhXwXMTEVtOISENCstPZjZy5C0MHjyQ1NQ0du/ei5MTtGjRHD8/X/76629mzvzJJn27dm148MF7cHd3Z/ToCZVeeKl8M2dOx/uhh3Devbu6iyIiIiKXsI3AxHLSRAPHz/6VZQ4QijnYnA5sOLtc1LPNDagNdATGn10GuB9zEGrNGfNUIq2BEUCHco5dmkEhDRzcs2weHm5ERDRi795Y9d2rQXRdylahmso2baIwmUz8+9+vcvLkKcA8Yum7706ideso4FxQOXjwQEaMuBmDwcC2bTsqtdAiIiIiUrN1oHhAd6FqAxVp+/ZRJR9fREpWoaAyIMCf06fPWAJKgOTkFNLS0gkJCQbMU17cffdYevY0Tz27dOlKPv/8q0ossoiIiIiIiNQUFe5TmZJystj6vLw8fH198PX14V//eojwcPMclrNmzWH27N8rp6QiIiIiIiJS41QoqHRyKn1qWCcnJ1599d8EBgZQUFDAtGlfsXz5qgsuoFx8z9Suz86UjPITykWhNvw1k65LzaTrUjPputRMui4iUlkcmqeyNIGBAWRlZfPuux+yY8euysxaREREREREaqBKCSpPnz5DcHAQJ0+eYvLkdzlypPT5FEVEREREROTyUSlB5aeffkGrVpGsWLGKM2fUbFJERERERORKUSlBZXz8EeLjj1RGVlIDnDzxJWlJ3tVdDDkrDUg4XN2lkPPputRMui41k65LzaTrYssvpHV1F0HkklXhoDI4OIgZMz6t0D6FhYXceee9FT2UiIiIiIiI1HAO1VQaDIbKLoeIiIiIiIhcgioUVL766uSqKoeIiIiIiIhcgioUVO7evbeqyiEiIiIiNVwurYH4s8/ccaI3zszACTdLmnxex8Sks8+cgMY48z8MdCmWXyGnKOAtCvmHQuKBzLNbvHCiAU70x8jjOOFLIXHk0daucrqS6tgJiohDKnWeyivZe+9NJiQk2GZdRkYmBw8e4vvvZ3HoUGz1FExERESkkhgZTSGnADCxkEL+ppB5ODHEksZAJ2AiAIXEU8ifFDAFAz8Uyy+fcRSyBKiPgSGAz9ktaZhYTCHvUsg+XPgW8MVwNt/zFbKMQnaePf6dlXOyImK3CgWVjz76AOnp6Uyf/rXd28aPvwNfXx/effejCyvpJWDt2g3Mn7/I8tzNzZV+/a7hmWce4/HHnyUjI7OMvUVERERqNiNPW5aLaiQLSbRJY6AfBvoBnK1d/BPOS2PeVkAhqwEPXFiBE/7nbU8kj0gKWQmAEwE488Z5abIp4N9nA8ognHkfA9df8HmKSMVUKKjs2LE9yckpFdrWpk0UwcFBjpXuEnPy5Cl27dpjsy4pKYU333yV8PDGJCYmM3r0rTRrFo6XlxepqWls2bKVmTN/JDMzC4Brr72GG28cRFBQIABTpkxlw4bNtGnTiuHDh1KvXj2cnY0kJ6ewePFyfv/9L6DkmtKUlJN89tkXbN264yKcvYiIiFyZCh1MYwJygbrFAkoAJ2oBXkB2iTma2EUBd1HITpzohzMf4kRtu0stIpVHzV+rWEFBPgAuLi489dSjxMcf5aOPppGbm4uvrw8jR97C6NEj+fTTL6hfvx533jmKn36azd69+wE4cuQodevW4YknHuH33+fyww+/YDKZqFu3DmPG3EZqairLl69i6tSPcXFxsRzX5f/bu++oqK61j+PfoQ9KEcGuWFHUGAuKFXuNxiSaZpppNzfFmF7exJTrTa+m3VRvTDE3JiYaezT23o2KgKhgQZEivQ+8fwyMjLQBQUb5fdZizcw5z9lnn9ni8MzeZ29nJx5//BG6d++mpFJERETsjgFnDARTwDZMzMeB0Rgwr5NdQCr5/A6kYCjs9SzOxNeYmAEU4MhbOHLxS9cZja4VB10Crq4uVo9iH+pqu2RmZtsUp6SyGjk4GHB2Pv+Wuri4MmRICCaTifT0DJo0acw778wiPj7eEtO2bRv69u0NgL9/SxwcHFi1ao3VUNkRI4Zy7lwSCxYssmw7fDiSkJABdO7ciQ0bNhMZedSyz9vbi+nTHyIjI5MVK84PxxURERGxJ058Rx5PYOJeTKXsd2Ayjrxjtc3EPEw8Vez1s5h4BWiGA+Nx5EkMeFa6LgEBrSt9TE3y929W21WQUtS1dtm3L7ziIJRUVqvRo0cwerT1t2lpaWl89dW3luGs7733eonjihJIR0dHAAoKrIeINGzog5+fL3PmfFni2OTkZKvXAQHtmT79IRITzzFjxkwSE89V/YJEREREapCJbyhgJQYCMdAT64l6tpLPEgx0wZHHLcc40JcCnuD8TLEAaeSzlnxmUcBRnCk5/0dFIiKiLuJKqo+rqwv+/s2Ijo4hOzuntqsjhdQu5VNSWY22bNnGsmUrASgogMzMTM6ejSMvL49Bg/oD8Prr75KVZX1vgMmUX265jo6OnD59hv/85+sS+9LS0i3PR4wYwp13TmHLlu18/fW35ObmXewliYiIiNSIfPaSz1sY6IcTSzFgsNpfQB55jMbEqxgYigPdATDQCideKlFeAQnk0pkC/qSAPAyV/DPX1mF+l0p2do7d1UnULmVRUlmNkpJSrIahFpeRYf42LTExkZiYM5UqNz09Azc3tzLLBrj99lsYPXo4P/30C0uX/lmp8kVEREQutQLCADDQs0RCad7uVHjP5a7C2O7llmegIdAI8zqaWVB4f6aI1DwllZfIwYNhxMcncO+9d7Fs2Z9W90ympaVx4sSpMo/dvHkro0YN47777mL79l3k5uZa9sXGniUzM4sxY0awadNWjh2LJjCwo2V/ZmYmUVHHa+aiRERERKrIgBcABRwodX8B+RSwszDWu8LyCsgAzgEOgFv1VFJEbKKk8hLJysrirbc+YMqUG7n//rvx8Dj/7dnu3ft4991ZZR579GgUH374Kddffy39+gVjNJ7/j/LHH39m6dI/2bt3P/369bEMsy1y+PARXn75teq/IBEREalTCjiKiS+LvTYnfPn8QQHm0VQG2gLnKKBoTofUwthT5PGc5VhHnsXAYKAlBawjlwEY6M35ZDCFfLYBR4CWGAgBII+XgdKGHmZRwFYgDQPDKz30VUQuTqV/45ycnOjQoZ3N+4ovc3Elmz79mQpjTp2K4Z13yk4e16/fxPr1m0rdt3v3Pnbv3lfmseUlpSIiIiIXq4BT5PN5Kds3UsBGAAwMoIDjmIegFhdndawjD2LAH2eWY+Jd8llPAf/j/JqUbkBzHLgbR57CgDsA+XwNpFOSEQP+OPAgjlT8N5mIVK9KJ5Xe3l68/PLzld4nIiIiIpcvBwbhQlK1lmmgOU58YHO8C2XfLiQitcehtisgIiIiIiIil69K9VTefvt9NVUPsSM+jafilWDbQqdS84xGVwICWhMREaUprO2I2sU+qV3sk9rFPqldRKS6qKdSREREREREqqxSSeXEieNp2NCnpuoiIiIiIiIil5lKDX+98cbrmDx5ImFhEWzYsJlt23aSna3hEiIiIiIiInVVpZLKjIwM3N3dCQzsSGBgR6ZOvZ1du3azYcMW/v679IVrRURERERE5Mpl8PNrWWBrsIODA926daVfvz706tUdNzc3y77k5BQ2bdrChg1bOHHiZI1UVmre3Lmzmba5N2HJXrVdFREREbETft+3qu0q1BmaQMk+qV3KV6meyvz8fPbu/Zu9e//G2dmJ7t2vpn//YK6++iq8vDwZN24048aN5sSJU2zYsIlNm7aSnJxSU3UXERERERGRWlappLK43Nw8duzYxY4du3B1dSUoqAf9+gVz1VWdadmyOVOm3MTNN09i06at/Pjjz6SnZ1RnvUVERERERMQOVDmpLC47O5tNm7ayadNW3N2N9OkTRL9+fQgM7EhIyAC8vb14++0Pq+NUIiIiIvbp69aQEm1+7ugGrYbDhPng5Ho+ZvMrsPXVwhcG8G4HY+ZAs/4ly3vfUPE5WwyGm9ZCchR806bi+M53wZhvK44TEamEakkqi8vIyGTt2g2sXbsBb28v3n//DTp2DKju04iIiIjYly73QFai+XnUMji2BI4ugoDJ52Oa9oUe083PU6LhyALY9jpcv7j0Mh3doNsDZZ/Tu731a/dG0PHWsuOb9KnwMkREKqvak0qAxo0bERwcRL9+wbi4uBAdfaImTmP3Zs16m5079/D99z9V6figoB64u7uzfv0mq+0vvvgMGRkZvP/+JwC0b9+W++6bSvPmTXF0dOTzz78hLi6eGTOe5fnnX66z77+IiMgl1e+l8883e5t7JDNirWPajDH/gLl38ciCkjHFOdeDoR/aXgePlpWLFxGpBtWWVDZp0pjg4N4EBwfRqlULy/aEhES+/PK/1XWaOqVXrx74+fmWSCq///4nTKZ8y+vJk68jOzuLt976AJPJREzMaXJzc5k58y3OnDl7qastIiIiRQpsmWTf5on4RUTs0kUllc2aNSU4OIjg4CBatGhu2V5QUMDBg4dYv34T27btxGQyXXRFrzSfffYB3t7nl+1IS0tj//6DzJ79A+np6cya9TZ+fr6AeZkPgPnzFzJ//kLuuONWS09l0T6A//u/pwDUUykiInKlyE2HNY+df20wgKs3eHeADjeAk5t1fOqJkvFGX/DpDO0mgEONDFITkTqu0v+ztGjRnODgIPr06UXz5s2s9p04cYqNGzezadNWkpKSq62SV6IPPvgEJyfz228wGLj22nH06xdMVlY2X331LR9//Dm33XYzrq6uluGzcXHxJcqZOfMt7r9/KrGxZ/njj6UAxMScplmzppfuYkRERKRmmLJgz6zS961vCrdsAq9iE/RknC073ifQHO/WoNLVMBpdKw6SauHq6mL1KPahrraLrWtyViqpfOedf9O0aROrbcnJKWzatJUNGzZz4sTJyhRXpx0+fAQw/8N88MH7CAhoz6FD4XTt2hmAyMijpKamYjKZOHQovMxyDh0KJysrm6SkZKs4JZUiIiKXuSdKGRZbUABpp2Dt43D4V9j9IQydBV6ty4jPh6Qj8Oe9cGoDHPwWej1e6aoEBLSu9DFycfz9m1UcJJdcXWuXffvKzkOKq1RSWZRQ5uTksHPnHjZu3Mz+/aEU2HS/gFzI17chTz75KO7uRl599Q2CgnoyZszI2q6WiIiI2CuDATxaQO9nzEllYlgF8Q7QoAP0mGZOKiuKL0NERFSVjpPKc3V1wd+/GdHRMWRn59R2daSQ2qV8lUoqQ0PD2LBhM9u37yI727auUCld69atePbZJ4iNPcsbb7xHSkoKQUE9a7taIiIicjlwMpof83NrJv4Ctg6Bk+qTnZ2j990OqV1KV6mk8vXX362petQ5jzzyACdOnOTttz8kLy+v1Jj8fPUAi4iISCni9pkf3RvVTLyISCVoCrAa1rixH0FBPUps9/LyJDb2LAEB7S3Dh319G1rFxMcn0KFDO7p160Jubh5xcfHExydcknqLiIhIJZyLhL2fnH99eqv58fB8SIo0P/duD1mJ5h+AnBTz44UztvZ9CYw+1tssCiD9NBxdbH4ZeIf5MTMRtv6rlPB8SI2GY0vBwRk63VrFCxQRKVulksr77rurSicpKCjgm2++q9Kxl7uePbvTs2f3Ett/+eV3hg4N4f/+7ykcHBws29PTMyzPFy9eTps2/jz11HScnJwsS4qIiIiInUk7WfqsqyfXmn8AWgyGlChIibaOuXDG1p6PmZPK0spzdAH3xtB6DFz9EPiPMG/PSSk93sloju94C/R4FPyurvy1iYhUwODn19LmMZY//PB1lU90++33VflYuXTmzp3NtM29CUv2qjhYRERE6gS/71vVdhXqDKPRlYCA1kREROnePTuidilfpXoqN2zYXFP1EBERERERkctQpZLKL76YXVP1EBERERERkcuQJuqREhqvnkxCqG0LnUrN03AL+6R2sU9qF/ukdrFPahcRqS5VSiqbN29Gs2ZNAYiNPcvx4yeqtVIiIiIiIiJyeahUUmkwGHj00X/Su3cvq+0HDx7inXdmlbreoqurCw8+eB8ffvjZxdVURERERERE7I5DxSHnjRo13JJQJienkJKSCkCXLoGMGjW8RHzDhj688soLBAX1rIaqioiIiIiIiL2pVE9l3769AXjzzfc5cCAUgKuvvoqnn55OUFAPli5dYYkNCGjPY489jKenB4mJ56qxyiIiIiIiImIvKpVU+vn5kp6ebkkoAfbt2096egbNmze1bBs8eCB3330HTk6OHD9+knfe+bDaKiw1b+HCX/Hy0jqVIiIi9q5RI60fKSK1r1JJZVm9jpmZmfj4NADg9ttvYcyYEQAcOBDKhx9+RlZWVjVUVUREREREROxNpZJKB4eyb8F0cHDgmWcep1u3LgCsW7eJb76ZQ35+/sXVUEREREREROxWpSbqqUhRQjl//kK++uq/SihFRESkVrVu3RqDwYDBYMBoNDJ+/Hiys63XZHzllVcsMQ4ODnTo0IHNmzfbfI7Vq1fTvXt3jEYjI0eOJDU11Wp/p06dLOVf+OPp6Um/fv1YvXp1tVyviEhtqNI6lRfKyckBwGQy8fXXc9iwwfb/iEVERERqyj333ENiYiIAy5YtY8mSJSxatIjJkydbYvr27cv06dMBiI6OZsGCBbz++ussXry4wvLnz5/PLbfcQtOmTbn66qtZtWoV3333HQ8//LAl5q677iI2NrbU48+ePcu8efO49tprCQ8Pp3nz5hdzuSIitaJaksqFC5cQHBzE4sXLiYiIrHI5gwb1Z/z4MTRu3AgXFxerfffd9zAZGZnlHj937my+++4nli9fWeU61KbLvf4iIiL25qWXXrI89/b25tVXXy2R4I0ZM4YxY8YAEBUVxYIFC8pMAotbtmwZt956K40aNWLt2rWsX7+ebdu2ER0dbRX3/PPPl1tOZmYmCxYsYOvWrUyaNMnWSxMRsRvVklRu2rSVTZu2XlQZHTq044EH7mHRoqUcPBiGyWSy2p+VlV3GkSIiIiK2KygouOiYDRs2MGnSJDw9PVm5ciVt27Zl/fr1AJW6/efQoUNs2bIFgBYtWth8nIiIPal0Uunp6clzzz1R6RO9+eb75e4PCGhPfn4+8+b9XuZ/5N7e3txxx8107doZDw8Py/aZM9/i0KFwAO6881buvPNWwJyIHjsWxTffzCEm5gxQem/gmDEjufPOW5ky5R5LTHny8/OJjT3LTz/9ys6duwH47LMP8PY+vwxHWloa+/cfZPbsH0hPT6+2+nt7e3HbbTfRuXMgDRp4k5yczKFDEfzww/8sM/P26dOLW26ZTKNGfjg4OKj3U0REpBrt3r2b8ePH4+TkxPLly+ncuXOly0hISGDmzJl89tln5Obmcs899xAcHFwDtRURqXmVTipdXJzp2rXy/3lW5NSpGJycnJg27Z8sWbKCI0eOloiZPv1BnJ2d+frrOaSlpVu2R0cftzz/88+/2LZtJwDOzk7cdNMkpk69nddff7dS9SlejpubG08/PZ0//ljKvn37MRgM9OnTi4cfvp9HH32G1NRUPvjgE5yczG+nwWDg2mvH0a9fMFlZ2Xz11bfVVv9p0/6JwWDgm2++IzMzE3d3I9dffy0PPngfr732DvXr1+Ohh/7B6tVr2blzDwUFBcTGnq3UtYuIiEjpDh06xOjRo8nNzWX58uUEBQVV6visrCw++ugjXn/9dZKTk2nZsiVvvPEGt912W5XqYzS6Vuk4AFdXF6tHsQ9qF/tUV9slM9O20aKVSip/++2PKlXGFnv37mf+/IVMmDCWvn17c+5cEnv27GP9+k1ERETi69uQjh078MYb77F//8Eyyzlz5qyl1w+gVauWXH/9tZWuT/Fy3N2NAMTEnLZsS0hIZNSo4bRu3Yr9+w9y+PARwPwP7cEH7yMgoD2HDoVbEvDqqL+PTwMCAzvyxhvvERZ2PsbHx4c77rgFR0dHmjVriouLM+vWbbJKVkVEROTixMfHM2rUKJKTk1mwYAEhISGVOv6HH37ghRde4Pjx4/j6+vLee+/x8MMP4+pa9cQwIKB1lY8t4u/f7KLLkOqndrFPda1d9u0LrziIakgq3dzccHc3YjAYKCgoIDMzk8zMrMoUazF//kKWL19JUFBPevbsTr9+wQwbNpi1azewbt1GAFJSUipVZl6eCaPRrUr1KU/RPZ/Fv63w9W3Ik08+iru7kVdffYOgoJ6MGTMSgIYNfYCLq7+vb0MAnn/+yVJjXV1dcHR0LHxV8f0iIiIiYrsPPviAkydP8txzzzFu3Dibj8vIyGDy5MksW7aM+vXr89JLL/Hkk0/i6el50XWKiIiq8rGuri74+zcjOjqG7Oyci66LVA+1i31Su5SvShP1eHt7c9114wkK6mF1H2GR5OQUdu3aw4IFiy33+dkqPT2Ddes2sm7dRpydnbnuuvFcf/0ES1Jpr1q3bsWzzz5BbOxZ3njjPVJSUggK6lmt53BwMC8r+tlnX3HmTMlZ6aqazIuIiEjFiuZDePPNN3nzzTfLjHvvvfd47733ePnll3nllVd4/PHHWbZsGePHj2f27Nn4+flVW51sHZpWnuzsnGopR6qX2sU+qV1KV+mksl27tjz99HTq169XZoyXlyfDhg0mODiId9/9yDI0tLJyc3NZtWoN118/gUaNzP8BF5/gpioyM7NwcnKsOLCSHnnkAU6cOMnbb39IXl5eif0JCeY1si6m/kVLqqSkpBIZWfKeUxEREak5Tz75JL6+voSFhZX6WR8aGsrKlSvp2bMngwYNom/fvgD8+uuvGI1G5s+fX2LJNBGRK0Glkkqj0Y3HHnuI+vXrERoaxsaNW0hISLRa/sPJyYmGDX0ICRlAx44deOyxh3n66RcqXGPS3d2Iv38r68o5OTFoUH+ysrIK71uM5Oabb8DNzc0yoyqYJ7qpqPwiR44cZeDA/sTHJ1g+EFq2vPgpvD086hMbe5aAgPaW2WuLhqsCxMcnXHT9T5w4ybFj0dx2200YjUarobTZ2dkcPRp10dchIiJypYiMjOSTTz6xvN661bz82fz584mMNK+r3b59exITE0lMNH/5W/TZeuLECR577DHLsS+99BI+Pj7cd999ZZ7v22+/ZeXKlQwdOpR33z0/QWBiYiJubm4888wz5db3kUceoX379pW7SBERO1CppHLo0ME0aODNjh27mTXrs3Jj163byFNPPUr37t0YOjSEJUtWlBvv79+KGTOetdqWlZXNqVMxvP/+JyQlJTNr1n+4/fZbuP/+qXh41LfEFV+SoyKzZ3/PfffdxT/+cQ9ublW/Mf5Cc+bM5ZZbJvN///eUZZgqmIfzFrnY+hcUFPDeex8xZcpNTJ06BQ8PD8u5Tpw4ybPPvlRBCSIiInXHyZMnmTVrVonta9euZe3atQAMHjyYqKgooqOjrWLOnj1rdexjjz2Gj49PleuSlZVVal2Ku+6665RUishlyeDn19LmGV1eeOFpAgM78uyzL3HqVEyF8f7+rXjttZc4dCic115756IqKpfG3Lmz6d27N15eJe+VFREREfvSqFGrioPKYDS6EhDQmoiIKN0jZkfULvZJ7VI+h4pDzmvRojl5eXk2JZRgHtZpMplo0aJuTb0rIiIiIiJSV1QqqaxXz53k5MotiZGUlIy7u3uljhEREREREZHLQ6XuqXRwcLBMQmOrgoKCYmsnyuVg4sTJhIbado+q1DwNt7BPahf7pHaxT2oXEZErW6V6KkVERERERESKU1IpIiIiIiIiVaakUkRERERERKqsUvdUAvj6NuS77760Ob74mo0iIiIiIiJyZal0UglKFK90U2JPkhl3orarIcUdj6ztGkhp1C72Se1in9QuFXrNr2VtV0FEpEoqlVT++99v11Q9RERERERE5DJUqaQyLCyipuohIiIiIiIil6EqDX8VERERqQ2vAucKnzsDHYB7sP6DZhmwovC5AWgI3Aa0uaCsH4EdNpxzNDC22OsoYF3hYyqQd0G8L/CiDeWKiFwplFSKiIjIZSMYyCh8fggIBQ4A3YvFtAZCCp+fA/YDK4F/XFBWJ8BYyjmygJ1APuANdC62byvwM+AOBAD1MSeuxdW37VJERK4YSioradast/Hz87W8zsvLIzU1jbCwcObM+YmUlBSbygkK6oG7uzvr12+y2h4Y2BF//1YsX76yWustIiJyJRhT7HlRj2TqBTGBhT8ACZiTygtjAHoV/hR3DPgec0LZHbgJcwIJkAz8CjQCHgfcqnIBIiJXICWVVbBt207+/PMvy2svL09uv/0W7rjjZj799CubyujVqwd+fr4lksrOnTsREjJASaWIiMgllA/8WfjjAkwB+lwQ8zfmoa4DUUIpIlKcksoqSEw8x6FD4VbbevS4mubNmwHQoUM7pky5iZYtm+Pu7k5CQiJ//32QuXPnkZ6ebtXbOXfubADmz19IYGBHOnfuZLV93bqNzJ79HXPmWK8NmpyczI4du/n++5/Izc3D2dmJu+++g549u+Pp6WGJS01N5YEHptfMGyEiInIFOIe5d/Io5vsub8d8H+aFYgsfw4C4C/Y5AZ6Yh8Q2q5lqiojYLSWVVeDgYMDZ+fxb5+XlRZs2rYmIOIynpyfPPvsE+/b9ze+/LyI3NxcPj/pMnnw9DzxwD++//zEff/w5t912M66urnz//U8AxMXFs3Pnbq67bgIdO3bg448/B8zJY16eiZkz37Kcz9HRkVtvvZERI4aSmHiOBQsWM3r0CPr378t//vMVKSnnB/mYTKZL9K6IiIhcnj4F4gufHwP+DdTDnBwOBzoW7sspfDxYQXnDgGurUA+j0bUKR1Wdq6uL1aPYB7WLfaqr7ZKZmW1TnJLKKhg9egSjR4+w2nb69Bn+979f6dmzO25urnz55X/Jzs6x7Hd0dGLatAdwc3MjMvIoqampmEwmqx7P+PgEEhPPkZubW6IntOi1p6cH06c/hI9PA44di6Jr184sWLCYBg0akJubQ3j4YZKSkmvw6kVERK4so4BTQEHh6wLMSWYYcAR4DGhZbP/9QJcLysgHTgOfA2swJ5aVnbAnIKB1JY+oHv7+6lu1R2oX+1TX2mXfvvCKg1BSWSVbtmxj2bLz9zy6uxuZMuUm7r33Lo4fP0FmZpZVQgmQlJQEgJ9fQ06cOFWl8/r7t+SJJ6aRmZnJjBkzmTRpIv7+rQBYs2Y9Awb05eOP3+XEiZNERh5l796/2bPnbwoKCiooWUREpO668N7JIguAtZhnmG0JOBRuL+1T1QFojnmJk92Yh8dWNqmMiIiq5BEXx9XVBX//ZkRHx5T4u0Vqj9rFPqldyqeksgqSklKIjDxqtc3Pbw133307J06crJFzduvWlccee5gDB0L59NMvyc627oo+efIUjz/+HL179yQwsCNdugQyYsRQDhwI5Y033lNiKSIiUklNCx+zCh/rFT6ml3OMY+FjVW4+sXWYWXXLzs6ptXNL2dQu9kntUjolldWkoKAABwcHUlJSMRrdcHFxISfn/LcY3t5eAMTFJQCQn196kldQkF9im7OzE9Om/ZMdO3bx+efflJkgZmZmsn79JsuMsqNGDWPq1Nvx8/Pl7NkLpxQQERGR8iQVPhbdQdUOWA3sAoI4n0AWKRoCC+CBiEjdoaSyCnx8GhAY2NHy2s3NjWHDBhMTc4bt23dxyy2Tuf/+qWzYsJnc3Fzq16/PddeNZ+fOPWRlmb/vjI9PoEOHdnTr1oXc3Dzi4uKJj08gPj4BLy9PevbsTmZmJsnJySQmJmE0upGfn0+nTgGW8xYlqgC+vg2t1s90dHSkQ4d2ZGVl6R5LERG5IsQBG4q9ji583Mf52Vj9MPckZhS+LuplPAf8VuzY0UAM5jUsS5OMeUIeA9CpcFtnzMNbI4CZQFvOD3HNAY4XlukPNLb9skRELntKKqsgODiI4OAgwDy7alpaGocPH+HXXxeSkpLCW2+9z5QpN/Hoow/i7m4kMfEc+/YdYO7ceZYyFi9eTps2/jz11HScnJyYP38h8+cvZM2aDXTpEsijj/4TFxcX1q3byBdfzGbu3HlMmDCWwYMHWtUlKuo4AIMHD2TSpImW7VlZ2Zw+fYYPP/zMqsdURETkcpUErC9le2ThD5h7ExMxJ5HFpV1w7GDgRBnlOQDuhWUNwrzMCJgTzAcKj9kHHOJ80moEGgBjgRAbr0dE5Eph8PNrqZvtxGLu3NkcnTaNzLCw2q6KiIhInfKaX8tLej6j0ZWAgNZERETpHjE7onaxT2qX8jlUHCIiIiIiIiJSOiWVIiIiIiIiUmW6p1JKmNu4BaEJ5U2YLpeShlvYJ7WLfVK72Ce1i4jIlU09lSIiIiIiIlJlSipFRERERESkypRUioiIiIiISJUpqRQREREREZEq00Q9UsLChb/i5eVV29UQERG5ojRq1Kq2qyAiUiPUUykiIiIiIiJVpqRSREREREREqkxJpYiIiNiN1q1bYzAYMBgMGI1Gxo8fT3a29dqWr7zyiiXGwcGBDh06sHnz5hJlTZ061RJX3s8rr7wCwJtvvllmjLOzM+3atePVV18lPz//UrwVIiKXjcvmnspRo4Zz882T2Lt3Hx9//IXVvvHjx3D99dfy998HmDXrs1qqoYiIiFyse+65h8TERACWLVvGkiVLWLRoEZMnT7bE9O3bl+nTpwMQHR3NggULeP3111m8eLFVWaNGjcLb27vEOZKTk/n+++8xmUy0aNGCcePGAdC7d29LuRfKyclh8eLFvPLKK3h5efHYY49Vw9WKiFwZLpukctKka9m6dQdDhw7izz9XEx5+GACj0ciNN17Pxo1bGDo0hLZtW3P0aFTtVlZERESq5KWXXrI89/b25tVXXyU2NtYqZsyYMYwZMwaAqKgoFixYUCIGYMqUKUyZMsVq2+bNm7ntttswmUzcdNNNfP755zRo0ACA4cOHM3z48DLrNnr0aK677jr++usvJZUiIsVcFkllo0Z+eHh4sGrVGrp3v4quXTtbksrAwI44Ozvz+++LGDiwH23btubEiZPMmfOlVRnJycns2LGb77//idzcPACuuqoLt9wymebNm+Hi4myJ3blzN++//wmBgR2ZMeNZq3JSU9PYu/dvZs/+juzsHEvM88+/THT0CUvcE088gru7O//+99t4eNTn3nvvpEuXQOrVq2eJOXo0ihdf/BeNGvlx77130r59O4xGN8v+bdt2WnpeBwzoy4QJY2nSpAkAZ8+eZcmSFaxbtxGAF198hs6dO1mOzcvL48yZWObOncfevfur/uaLiIjUsoKCgouOMZlMvPbaa/zrX/+iXr16zJkzhzvvvNPmOmRlZTF37lwAWrRoYfNxIiJ1wWWRVLZo0RyAmJjTHD4cSUBAe8u+jh07EBcXT3x8ArGxZ2nRogV5eSZmznzLEuPo6Mitt97IiBFDSUw8x4IFi/HxacATTzzC5s3b+fnn+eTm5gJwxx23ljj/l1/+l9jYswB4eNTn/vunEhMzioULF5eILc3kydcRENCB//znazIzsyzbs7LMz6dOvY0GDRowa9anloQXICUlFYDOnTvxz3/ey08//WJJXNu2bcP9908lNvYsYWERAISHH2bevN8AMBgMhIQM4OGH/8EjjzxJdnaOTXUVERG50hw/fpzbbruNjRs3MmDAAH744Qdat25t07EFBQXMnTuX//u//+P48eO0bt2a559/vmYrLCJymbksksqWLVuQkJBIdnY2ERFHmDRpIgaDgYKCAjp27EBERCQAMTFnaNmyOQUFBRw6FA6Ap6cH06c/hI9PA44di6Jr184sWLCYbt264uTkxOzZ32EymSznysjIKHH+Y8eirHohBw8eSPv2bWyuf4MG3mRkZHLoUASZmZkl9nt7e5OSksKhQ+FWSWWRAQP6ERERycqVqy3bIiIOM2bMCLp0CbQklampqZbrBnPSGhIygKZNmxAVddzm+oqIiFxJhg8fTmSk+W+FTZs20bZtW/z8/Ljqqqt47rnnGDFiRKnHrVmzhqeeeordu3fj7OzMI488wsyZM0u9T9MWRqNrVS+hRri6ulg9in1Qu9inutoumZnZFQdx2SSVzTl9+gwAhw9HYjS60apVS2JiYmjTxp9Nm7YCcPr0aQIDB1uO8/dvyRNPTCMzM5MZM2YyadJE/P3NCw83aOBNVla2VUJpK5PJhLu7u83xK1b8xZNPTuPzzz8kKuo4kZFH2bVrD6GhYQAsXbqCf/zjbr744mOOHYsiIiKS7dt3cexYFAC+vj4EBnYsMaQXKLceRddmNBorcXUiIiJXlhkzZrBnzx7LENn8/HwiIyNZvnw569evZ8uWLfTq1csSf+jQIZ5++mmWLFmCwWBgypQpzJw5k7Zt215UPQICWl/U8TXF379ZbVdBSqF2sU91rV327QuvOIjLKKks6oE7ejSKnJxcAgLaYzS64ezsTESE+f7KmJgzeHh44O3tRatWLXnssYc5cCCUTz/9ssR05OnpGVb3UdakgwcP8dhjz9GnT086dgygd++ejB07knXrNvLFF7PZuHELYWER9OnTi4CA9gwZMoiJE6/h118X8Ntvf+Dg4MChQ+H89NMvJcpOSkq+JNcgIiJyubrzzjtLvX/yySef5P3332fp0qWWpPLzzz9n+vTp5OTkcM011/D666/TrVu3aqlHRERUtZRTXVxdXfD3b0Z0dIxuk7Ejahf7pHYpn90nlY6OjjRt2oS//loLmHvfjh2LIiCgPe7uRjIyMjl+/CRgTioB2rZtzYMP3s+OHbv4/PNvSr15PyLiMM7OzgwfPoTNm7eRl2e+p9JgMFSqfkX3RTo5lf9WpqSksGrVWlatMl/HlCk3MnbsKL7+eg4mk4n4+ASWLv2TpUv/xGAw8MgjDzBkyCB+++0PMjIy8fb2IjLyaKXqJiIiImW76qqrAPNkfmCeGfahhx6icePG/PjjjwwbNqxaz2frMLJLLTs7x27rVpepXeyT2qV0dp9UNmvWBCcnJ0vCCPD33wcYMWIovr4NCQ+PsCSNp0+fBsDfvxVGoxv5+fl06hRgOc7b28vyPCrqOD//PJ+77prCvfdaf3u5c+dum+sXE3OG9PQMxo8fy+bNWy118fb2Jicnx3INXl7nz+3k5ESrVi1JSEjEZDLh79/Sahirq6sLTZo0tkwOtGHDZp544hFuuukGQkPDrIbsnjwZQ2pqqs31FREREbMTJ8zzJRTNzD5//nwKCgp45513qj2hFBG5ktl9UtmypXna7piY05Ztf/21jgED+tGkSWM+/PBTy/aMjEySkpLx9fVl7tx5TJgwlsGDB1qVV3zCmoULl7BixV80btwIZ2fzW3HffXdZzdBakezsbD799AumTLmZadP+adVjWXTP5IQJ46zqYe5dPcFHH/0HMM84W3w5kLS0NCIjj/Hddz8C5iT3iy9mM27cKMaNG4WLy/kbhD/88FO2b99lc31FRETsVWRkJJ988onl9dat5jkT5s+fb5lop3379iQmJpKYmAiYRwKBOUEsvnbkSy+9xL59+1i4cGGJ8xQUFHDq1CkWL16MwWBg9OjRAJYyf/nlF3bu3FlmPfv06VNi/UsRkbrM4OfXsuLFn65QnToFWIa7GgwG/Px8mTr1Nn78cR6rVq2p5drVjrlzZ9O7d2+rnlUREZFLYe3atQwdOrTcmMGDBxMVFUV0dHS5cceOHePXX3/l6aefLrHP0dGRhg0b0r17dx555BEmTJgAwNSpU5kzZ06F9bzrrrv49ttvK4y7UKNGrSp9TE0yGl0JCGhNRESUhvPZEbWLfVK7lK9OJ5XffvuFZbIek8lEYuI5tm7dwf/+96tNCy1fiZRUioiI1AwllWILtYt9UruUz+6Hv9akqVMfqO0qiIiIiIiIXNYcarsCIiIiIiIicvmq0z2VUrqJEycTGmrbQqdS8zTcwj6pXeyT2sU+qV1ERK5s6qkUERERERGRKlNSKSIiIiIiIlWmpFJERERERESqTPdUSgmxU34lLlNLitiT47VdASmV2sU+qV3skz22i99r9rXEh4jI5Uo9lSIiIiIiIlJlSipFRERERESkypRUioiIiIiISJXpnkoREREp3aut4Vy0+bmzG3QYDvfMByfX8zHLXoEVr5qfGwzQsB3cNgfa9LcuKyEKZrY5/9rNC0KmwbiZpZ97+3ewbTbEhkJmEphyzXWo3wha9YHhz0KroOq5ThERuSjqqayCBx+8j2+++YwRI4ZYbff1bcjcubMJCupROxUTERGpTsH3QMh08493KwhdAgcWWce07ns+putEiI+Ela+XLMvN83zcoEegIB/+/DekxZWM3fkjzL0LordC6/7Q/wHzcb2ngncL2PcrfBwCKWdq5LJFRKRy1FNZSd26dSE4uDfLlv3JlCk3sW3bLlJTU2u7WiIiItVvzEvnny/zNvdIpsZaxwSOMf+AuTdy/4KSMQD1fOCGD8+/jtkPR9ZB6lmo72cdG7nW/Hj9LBjwQMmyvhxvTnCPb4eu11bqkkREpPopqaykMWNGsXPnbn79dQFDh4YwbFgICxcuKTN+8OCBjBs3isaNG+Po6MDZs3GsW7eRRYuWUVBQQGBgR2bMeNbqmNTUNPbu/ZvZs78jOzsHD4/63HvvnXTpEki9evUscUePRvHii/8CoGfPq5k0aSJNmzbFxcWZ+PgEtm/fyS+/LCA3N7dm3gwREamDCqopppzY3Ezzo2+70g/xbW9+zMmsxHlERKSmKKmshMaNG9GtWxfeeOM9TCYT69dvYvjwIfzxx1IKCkp+KF599VU88MA9/PLL70RERFJQUECTJo2ZMuUmcnNzWbZspSX2yy//S2zsWQA8POpz//1TiYkZxcKFi5k8+ToCAjrwn/98TWZmluWYrCzz8xYtmvP444+watUafvrpV0wmEz4+Dbj11htxcnLiu+9+quF3RkREpBq1HwK7fjTfU9k4EDybgoOD+b7KM6EQuhgcXUretykiIrVCSWUljBw5jLi4eA4ePATA2rXrGT9+DL169WDnzt0l4vv27U1k5FF+//38/SehoWG0aePPwIH9rJLKY8eiiI4+YXk9ePBA2rc3T2jQoIE3GRmZHDoUQWZmyW9lg4ODSE1NY86cuVbbGzb04ZprxiipFBGRy0u/+yAnHRY/D7tL+QzzC4AH/4QGLS/qNEaja8VBVzBXVxerR7EPahf7VFfbJTMz26Y4JZU2cnV1YfDgASxfvgpnZ/PbFhcXT0REJKNGDSs1qWzY0IekpKQS25OSkvH19S33fCaTCXd3dwBWrPiLJ5+cxueff0hU1HEiI4+ya9ceQkPDAPDx8SEpKbnU83h41MfNzc3SqykiImL3orbC2vfB0Rm6TACPRmBwhLxsiIuAyDXmSX6adIH65X+elicgoHX11fky5u/frLarIKVQu9inutYu+/aF2xSnpNJGAwb0o169ekyaNJFJkyaW2N+sWRNycmrm3sWDBw/x2GPP0adPTzp2DKB3756MHTuSdes28sUXs2vknCIiIrXm5/vh3HF4IQL8OpTcv/5j+O1RWPEvmPRRlU8TERFV9TpeAVxdXfD3b0Z0dAzZ2Tm1XR0ppHaxT2qX8imptNGoUcPYtm0nS5YsL7HvscceZuTIYSxZssJqe0JCIs2aNS0R7+XlSXx8fKXOn5KSwqpVa1m1ai0AU6bcyNixo/j66zkkJibSvftVpZzHi9TUNPVSiojI5eVMKLj7lJ5QArQfXBh38KJOY+uwritddnaO3gs7pHaxT2qX0imptEGnTgG0atWS//73ByIjj5bYv379JkaNGsZff62z2r516w6effZxrrtuPIcPH6GgoIDGjRvRv38w8+cvtPn8zZo1wcvLy/LaycmJVq1akpCQiMlkYtu2nVx33XjuvPNWdu/eZ5moZ9SoYWzatKXqFy4iIlIbjN6Qec7cW9mgVcn9RzeZH90bXNJqiYhI6ZRU2mDUqOHExJwmPPxwqfvXrt3AtdeOo1OnAKvt+/bt58sv/8u4caO47roJODo6EBcXzx9/LGX58lU2n3/ChHEMHjzQ8jojI5Pjx0/w0Uf/AeDkyVN88MEnTJo0kSFDQnBxcSYhIZEtW7bzyy+/V+GKRUSkzouLhA2fnH8dvdX8uG++eR+AX3tIT4SMRPPrrBTz47kT8Ntj548d/ZJ5TclDxUb7xBeW8ddb4N7Q/Lxozcvge2DNu/BOdwgcB/UaAgbzPZXxkXB4NRgM0Gdq9V6ziIhUicHPr2VlFpOSK9zcubOZdrQ3YZleFQeLiMiV6/Ba+HRo+THtBkNiFJyLLj9uxjHY/i2seLX8uNEvw9hXID8fNnwMu/8HZ8PMyWpBPjg4mRPM5j0gZBp0Hmf79ZTC77VSekHrEKPRlYCA1kRERGk4nx1Ru9gntUv51FMpIiIiJXUYAh9W4/fOY18x/9jCwQEGTzf/iIiI3XOo7QqIiIiIiIjI5UtJpYiIiIiIiFSZhr9KCY3nTiYh1LaFTqXmaQy/fVK72Ce1i31Su4iIXNnUUykiIiIiIiJVpqRSREREREREqkxJpYiIiIiIiFSZ7qmUEupd3YNGzer22l325jTg4dcKj9quiFhRu9gntYt9urBdzq5aWZvVERGRaqSeShEREREREakyJZUiIiIiIiJSZUoqRUREREREpMp0T6WIiIidivhjHrnpaQAYHB2p17gZLQcOw8HR0RJzdv9u4g7stbx2qe9J876DcPdrXGqZuRnpxIcdIP30KXIz0sjPy8PB2QVXTy88W7bGp0MgDk7n/zwI/XkOBfmmUstydHHBrUFDGnfvg9GnYTVcsYiIXI7qXFI5a9bb+Pn5lhvz6KNPEx+fcIlqVDWzZr3Nzp17+P77n2q7KiIiUkO823bAlJ0NQNrpk6TFnCD11HG8WrWxxBgbNsInoDMAuRlppJ48Tlzo3/gPHlmivMzEeKLXLMeUk4PRxxfPVm1wcHLGlJ1FRkIcsXt3kHz8KK2HjcPR2RkAn4BACvLzS61fbnoaqaeOc3z9n3QYf6NVMioiInVHnfvf/+OPP8e58IPS29uLadP+ybx5vxEeftgSk5ycXFvVExERsWjUtYfleVGPZF5WplWMR7MWeDRrAUBOWiqpJ4+XiAEoKCjg1NYNmHJyaNIzmIYdu1jvz8/n5JZ1pBw/xtm/d9G0V18AmvToU24djyxbQFZSItkpSRh9yv/SVkRErkx1LqmMjDxqee7rax6qc/LkKQ4dCrds79atC7feehPNmjWxJKAA3377A3/+uZoXX3yGjIwM3n//E8s+f/+WvPHGq8yc+RaHDoXz4ovP0LlzJ8v+vLw8zpyJZe7ceezdux8AZ2cnJk++nuDgIHx9G5Kbm0tMzBl++20hu3bttRw7cuQwxo4dSaNGfjg4lLwNdtq0B+jXL9jyOicnh2PHopk9+3tOnDh5Ee+WiIhcngpKbMlOSiQ7+RyOrm6Wns3iDA4O+HXpTsrxYyRHH6VJz2AMBkO5Z8mIiyU7NRkMBpzc3Kut9iIicnmpc0llRRwcHHj00QfZv/8g33//EwUF5z+Yz5yJrVRZ4eGHmTfvNwAMBgMhIQN4+OF/8MgjT5KdncOkSdcxZMggfvrpF2Jjz+Lo6EiXLp14/PFHmDHj3xw7FkX37ldx9923M2/ebxw+fIT8wiFI06b903Ke335bxKpVay2ve/S4mvHjx/DYYw/x1FMvWF2DiIjUTdmp5lE4LvU9ykwWXTw8ATBlZ2HKycbJ1a3UuNz0NGL/3k1yVCQAflf1wNldSaWISF2lpPICbm6uuLu7c+bMWUJDwy6qrNTUVKse0KysLEJCBtC0aROioo7Tr18f1qxZz9q1GywxBw6E0rt3EP37B3PsWBTBwb2JjDzKggWLrcrOzc21PD91KoZTp8zPr712HOPGjWLfvv1cffVVNGzoY/f3h4qISM0ryDNPtmMoNsnPhYpPAJSflweu1vtNOTnEh+4jISKUApMJV09vGvfoYxl+WxlGo2vFQVKjXF1drB7FPqhd7FNdbZfMzGyb4pRUXiAjI5NVq9YwceI1DB0aQmTkUcLCwtmyZTsJCYkXVbbJZP5ANxqNADRs6ENSUsn7N5OSkvDza1gsJqnCsp2dnfnnP++hV68efPbZV5w7l8TVV19FvXruSipFROSiFOTnkxgZRtyBvZiys3B2r4ffVT3wbt0eQym3ZdgiIKB19VZSqszfv1ltV0FKoXaxT3WtXfbtC684CCWVpZo9+3vWrdtIjx5X06FDO264YSKTJ1/Pe+99xP79B2u7eiXUq+fOc889iY9PA2bOfIsjR44RGNixtqslIiJ2xOBk7oUsMJW+PAhAfrF9RTO55mVlcnzdSjIT43F0daNJj2AadOhk1atZFRERURd1vFw8V1cX/P2bER0dQ3Z2Tm1XRwqpXeyT2qV8SirLcOTIMY4cOQaA0ejG66+/wsCB/di//yBZWVk4VcO06QkJiXh7e5XY7u3txbFj0ZaY5s3L/0bk5psn4ePTgBkzZpKYeO6i6yUiIlceVw/z501OWioFBQWl3leZU3jfpaOrG44u5uGpJ7esJzMxHu92ATTpEWxZauRi2TqkSmpednaO2sMOqV3sk9qldEoqS3FhL5+3txf169e3TNQTGXmU8ePHMmTIINLSzItSV7T2ZWm2bNnO0KGDOH36DGfPxuHo6EhgYEeaNGnM5s3bANi6dQdPPz2diROvITLyqGWinuKz0np4eJCbm0uLFs1p3LgRAP7+rSp/4SIicsVy9fbB1asB2cnnSAg/iG+nrlb7800m4g7sBcDLvy0GgwFTbg7pZ07hUt+D5n0G1kKtRUTkcqCkshQzZjxreZ6fn09ycgrbtu1gyZIVACxbtpKmTZtw66034uFRv8rnmT9/IQ4OBq6/fgK+vg3Jy8vj1KnTfPDBJxw7FgXAvn37mTNnLmPHjuTGG68vdUmRBQsW8cAD9/DUU49WSw+qiIjUvuzUFBIjQi2vMxPiAEg5EUVOagpgnq3VlJONKdv8rXl+4SRuuenpnN611XKsX9ceOLm60rzvIKLXrCB2z3aSo4/i5t0ABydnTNlZZCTEkZuWipuPL4269QLME/MAmHJzrcorTdE5RESk7jH4+bXUehNiMXfubD5Y9CfRcZrcR0SkNqXHniZq9bJyY9wbNSE3PY3c9LRy4zpMuBGX+h4A5GakEx92gPTTp8hJT6PAlIeDszOunt54tmyNT0AgDo7mLyhz0lI5vOgXm+pb/By2OLtqpc2xUjOMRlcCAloTERGl4Xx2RO1in9Qu5VO3loiIiB2q17gpXW69p9rLdXavR9OewTbFutT3qJE6iIjIlaVq84CLiIiIiIiIoKRSRERERERELoKGv0oJ6fv2cDbUtoVOpeZpDL99UrvYJ7WLfVK7iIhc2dRTKSIiIiIiIlWmpFJERERERESqTEmliIiIiIiIVJnuqZQSYof0IK57q9quhhRzHKCL2sTeqF3sk9rFPhW1i99crU8pInKlUU+liIiIiIiIVJmSShEREREREakyJZUiIiIiIiJSZbqnUkRExN7Mngepaebnjo7QshlcMwycHM/HbN0N2/aef+3lCaMGQbPGpZeZmg67D8DxU+ayc/PAxQV8vKBDa+gWCE7F/iywpQ4iIiKop/KijBs3mrlzZ9OmTesS+5ydnZk9+zPuvHOKTWWFhAwgKKhHie1BQT0ICRlQpfrNnTubMWNGVulYERGpRV06QPfO5h+PehB1Ao4dt45p0uh8TLtWkJwCO/4uvbyz8fDj77D3IDg7QYc25uNat4DMLNiwA35ZAjm5lauDiIgI6qm8KFu2bGPKlBvp06cnx45FWe3r3r0bbm5ubN681aayQkIGEBcXz86de6y29+rVAz8/X9av31Rd1RYREXsXXOxLRtfCHsmMTOuY1i3MPwApqXDkeMkYgIIC+HMDZOfA4GDo3sV6vykfVqyDw8dgyy4Y3Nf2OoiIiKCk8qKcO5fEoUPhBAX15Oeff7Pa17dvEGfOxBIZeRSj0cjNN0+iZ8+r8fFpQHp6BkeOHOPHH3/m1KkY5s6dbTlu8OCBAHz++TdMmjQRPz9fAEvM/PkLmT9/YYVliohIXVRQclN8IiScA6MbXN255H5HB+jT3ZxUhh+FkGAwGGq8piIicuVQUnmRNm3ayj/+cTfNmjUlJuY0YB762qPH1SxbZl6La+rU22jTxp8ffvgfqalpuLq6MGbMSJ58chpPPPE8M2e+xf33TyU29ix//LEUgJiY08TEnOa2227G1dWV77//CYC4uHibyhQREQHgXLL50cuj7GTR29P8mJkFWdnmBLSGGI2uNVa2VI6rq4vVo9gHtYt9qqvtkpmZbVOcksqLtH37Tu6++3Z69+7FwoWLAeje/Src3NzYtGkLBoOBvn178+23P7Jnzz7LcQaDA08/PR1f34YcOhROVlY2SUnJHDoUbolJTk4hNTUVk8lktd2WMuPjEy7B1YuIiN3LM5kfHcuZYKf45Du5eWCsueoEBLSuucKlSvz9m9V2FaQUahf7VNfaZd++8IqDUFJ50TIyMtm3bz+9e/e0JJXBwb05diyamJgzNGjgjbOzM/ffP5X7759a4vh69dwrnQB6e3tVe5kiIiKXQkREVG1XQQq5urrg79+M6OgYsrNzars6UkjtYp/ULuVTUlkNNm3ayvTpD9GwoQ8pKSn06HE1v/22EADHwm+G586dR1hYRIljT5+OrfT5aqJMERG5QhX1QppMZcfkFdvnXLN/Gtg6lEounezsHLWLHVK72Ce1S+mUVFaD3bv3kpGRSe/evYiPj8fV1YXNm7cBkJ6eAUBmZhaRkUfLLKOgoJTJFYD8/JLbbS1TRESEBl7mx+RU80ywpd1XmVR436XRDdx0z6OIiFSOkspqkJubx9at2xk0qD8pKSkcPHiIc+eSAMjMzGTnzt1cd914cnJyrIal5ufnEx5+GID4+ARat/anS5dA8vPziYk5TXJyCvHxCXTo0I5u3bqQm5tHXFw88fEJNpUpIiKCrw80bGCeAXbPQejZ1Xq/yWReLgSgY1vN/CoiIpWmpLKa/PbbH7zwwtM0aNCKd9+dZbXviy9mc/PNk7j55kl4e3vh4OAAQFZWFvfc8xAA8+b9xkMP3c9zzz2Bo6Mjn3/+DevXb2Lx4uW0aePPU09Nx8nJybKkiC1liojIZSgpBfaFnn99Js78GBll3gfm2Vqzss0/ADm55sfUdFhXbH3k4B7mnsdRg+D3FbBhu3nZEN8G4OJsnu31TJy5F7ORL/TrVbk6lLZEiYiI1DkGP7+WpY+7lDpp7tzZTNv4J2FJmuhHRKRWnDwN85eVH9O8CaSkQWpa+XF33wieHubnqemw+wAcP2U+Ni/PnFj6eEOH1tAtEJycKleHyeNsuSIrfnNXVvoYqRlGoysBAa2JiIjSPWJ2RO1in9Qu5VNPpYiIiD1p0RSm31P95XrUg8HBtVsHERG5IjnUdgVERERERETk8qWkUkRERERERKpMw1+lhMZr95AQGl7b1ZBCGsNvn9Qu9kntYp+s2qW2KyMiItVOPZUiIiIiIiJSZUoqRUREREREpMqUVIqIiIiIiEiV6Z5KKSF22K/E9fKq7WpIMccButV2LeRCahf7pHaxTwF/j6ztKoiISA1RT6WIiIiIiIhUmZJKERERERERqTIllSIiIiIiIlJluqdSRETEXnzdGlKizc8d3aDVcJgwH5xcz8dsfgW2vlr4wgDe7WDMHGjWv/QyU0/CrvcgagWkHofcDHD1BJ9A6DAZrn4InI3Wx+RmwN5P4fB8OBcG2Sng7A6e/tB6DPR6Euo3q+aLFxGRy5V6KmvAgw/exzfffMaIEUOstvv6NmTu3NkEBfUAYNKkiXz11Se1UEMREbFLXe6BHtPNP56t4NgSOLrIOqZp3/Mx7SZCUiRse7308mJ3w3fdYPeH4FwfAm6GHo9C63GQcRbWPwXzBkFO2vljspPhp36w4RnIjDPH9njUfKxzfdj1Pnx/NcTtr7G3QURELi/qqaxm3bp1ITi4N8uW/cmUKTexbdsuUlNTa7taIiJyOej30vnnm73NPZIZsdYxbcaYfwCSo+DIgpIxAAUFsPwuyD4HQ2ZBz0et95tyYdntEDEPNr0IQz80b9/4AsT/DQE3wdgfwNHZ+rjdH8Ha6bD8TrhjT9WvVURErhhKKqvZmDGj2LlzN7/+uoChQ0MYNiyEhQuXlBlfr547c+fOBiA/P5+zZ+NYvnwVf/75lyWmZ8+rmTRpIk2bNsXFxZn4+AS2b9/JL78sIDc3F1/fhnz00TtW5WZkZHDoUDhffTWHlJSUmrlYERGpeQUFtgSV3BT/NyQcAPdG0GNayf2OztB3hjmpDJsLQz4wbw//yfzY96WSCSVAj0dg278hbi/EHwDfrrZeiYiIXKGUVFajxo0b0a1bF9544z1MJhPr129i+PAh/PHHUgrK+KMgKyuLd96ZBYCDgwPt27dj6tTbiI09y759+2nRojmPP/4Iq1at4aeffsVkMuHj04Bbb70RJycnvvvuJ0tZ8+b9Rnj4YQCMRjfuvHMKN910PV9/PafmL15EROxLYrj50astGAylx3h3MD9mxkFWAhTkQ1Zi4b72pR9jcDDfx5kZB4lhlUoqXV1dbI6VmlfUHmoX+6J2sU91tV0yM7NtilNSWY1GjhxGXFw8Bw8eAmDt2vWMHz+GXr16sHPn7lKPMZnyOXQo3PL64MFDBAV1p2/f3uzbt5/g4CBSU9OYM2eu1XENG/pwzTVjrJLKkydPWZXVrdtVdOrUoTovUURELhd5meZHR9eyY4pPAJSbXva+CxWVeeExFfD31+Q+9kjtYp/ULvaprrXLvn3hFQehpLLauLq6MHjwAJYvX4Wzs/ltjYuLJyIiklGjhpWZVJbm3LlkGjb0AcDHx4ekpOQSMUlJyXh41MfNza3MckwmE0ajscz9IiIil1J0dAzZ2Tm1XQ0p5Orqgr9/M7WLnVG72Ce1S/mUVFaTAQP6Ua9ePSZNmsikSRNL7G/WrAk5Obk2lmbL/TMiIiLlcCr8UtFUztClvGL7nOuZh78W31dWb2VRmc71KlWl7Owcm4dSyaWjdrFPahf7pHYpnZLKajJq1DC2bdvJkiXLS+x77LGHGTlyGEuWrLCpLG9vb06ePAVAYmIi3btfVSLGy8uL1NQ0srKyqF+/ch/qIiJSB/h0ND8mHTEni4ZSVhE7F2F+NPqCW0Pzczcf832VSYdLv1+yIN9cJoBPp+qvt4iIXHa0TmU16NQpgFatWrJ8+UoiI4+W+Fm/fhODBvUvdaiqo6MDgYEdCQzsSJcugVx77Tjat2/Ltm07Adi2bSeenh7ceeetdO3amcDAjgwY0JdRo4axadOWS32pIiJyufDtBg27mifU2T2r5H5TjnnJEoBOt5kn8zEYoOOt5m1bXjXHXGj3h+Yy/bpr5lcREQHUU1ktRo0aTkzMacvMqxdau3YD1147jk6dAkrsc3NzY8aMZ4HzS4p8++0P7NtnXlT65MlTfPDBJ0yaNJEhQ0JwcXEmISGRLVu288svv9fcRYmIyKV1LhL2fnL+9emt5sfD8yEp0vzcu725F7FohtacwiWjUk/AmsfOH9v3JTD6wJg5MH8krHvCvGyIbzdw8TAnhae3QvJRaBwEA2aeP3bgaxCzEQ7/Ct/ugqb9wOgHOakQvx9id5h7Nsd8V2NvhYiIXF4Mfn4tdQOfWMydO5tpm3sTluxV21UREalbTqyFX4aWH9NiMKREQUp0+XH3HgOv1ubnqSdh13sQtcJ8XF6mObH0CYSAG6H7w+B0wUia3Exzgnv4V/OyITmp5ns0Pf2h9RgIegrqV24GxBF/jyQiIkr3ItkRo9GVgIDWahc7o3axT2qX8qmnUkRExB60HAJP1MD3vB4tYMgHlTvG2Qi9nzb/iIiIVED3VIqIiIiIiEiVqadSSmi8ejIJobYtdCo1T8Mt7JPaxT6pXeyT0egKAa1ruxoiIlJD1FMpIiIiIiIiVaakUkRERERERKpMSaWIiIiIiIhUmZJKERERERERqTJN1CMlTIk9SWbcidquhhR3PLK2ayClUbvYp2pul9f8WlZreSIiIlca9VSKiIiIiIhIlSmpFBERERERkSrT8FcREblorwLnCp87Ax2Aeyj9QyYM2AREA2mF2+oDrYGBQEApx5wB1gKRQDKQe8F+B+D9Yq9zgI3APiAWyC6slw/QCRgKeNl2aSIiIlIBJZUiInLRgoGMwueHgFDgAND9grhlwArMCV4A0KBw+7nC4/4GrgFGFjvmEDAbc+LYEQgEDBeUW3zYTSbwMRADNAQ6Y05as4HTmJPTHcDDQLPKXaaIiIiUQkllDerWrSvPPfdEie1ZWVns3r2PefN+48MP3+L99z9m5849tVBDEZHqMabY86LEMfWCmOOF292BJzEnfMUlAO8BSzEnji0w90j+CLgCT2Nb7+ISzAlld+AOwPGC/euA3wvLfdqG8kRERKR8Sipr0JEjx5g5860S2wMCOnDzzTfw998HaqFWIiK1Y1fhYzAlE0oKtwUDawpjWwARmIfI2jpctQDYXfh8NCUTSoBBwErgFOaey6a2VV9ERETKoKSyBqWnp3PoULjVNicnJ0aMGEJ+fj5HjhwD4Iknpln2Z2RkEhYWwddff0tSUjIAzZs34/bbb6Zt2zZ4eNQnOTmZsLDD/PDD/0hISARg1qy32blzD99//5OlrKCgHjzxxDQeffRp4uMTavpyRUTKdbbw0becmKJ9sRc8Hgd+uyDWEfAA2hT+gDkBLRqG61fGORwwJ7BpheUrqRQREbk4SiovIS8vTx5//BHat2/LDz/8THZ2NgDz5v1GePhhAIxGN+68cwo33ngDX331X5ydnXjmmceIjT3L559/Q1ZWFkajkQkTxvLEE9N48cV/UVBQUJuXJSJik6LJdcr74Cnal3PB45HCn7L0AO7CegKfypynPEajqw1RUh5XVxerR7EPahf7pHaxT3W1XTIzs22KU1J5ibRu3Yonn3wUo9GN99//mN279+Hrax4AdvLkKasezW7drqJTJ/P8h+3bt8PPz5e33vqAmJjTlpjU1FReffUFWrRoxokTpy7txYiIXCJFX5lNwjxstbh8zPdhfgPsAYYB9WqgDgEBrWug1LrJ319TI9kjtYt9UrvYp7rWLvv2hVcchJLKS6Jv39488MA9xMcn8Prr73L69Jly400mE0ajGwANG/oAkJSUZBVz7pz5tZ+fr5JKEbksOBc+5pUTU7Sv6HvgolldSxuP4YB5iGtXzEuOnMV6OZI8yv6Qu/A85YmIiLIhSsrj6uqCv38zoqNjyM62pX9YLgW1i31Su9gntUv5lFTWsPHjxzBlyk3s3Lmbzz77mqysrNqukohIrWiEeXmQ+HJi4gofGxc+FvU8ppdzTNFkPCbMS4e4Y76vMo7S75cs6uEsfp7y2Dr0RyqWnZ2j99MOZWfn4OzsSkpKimVon/5orn36fbFPapfSKamsQV27dmbKlJtYsGAx8+ZdOMWEbYom4vH29iIjI9Oy3dvbPA9iXJz5z7PMzCycnEqb51BExD70wrycxzZgACUn7Ikv3GcojAVoV/i4D/Pw1tLubiwaq+FReGxPYCOwHPOSIhd+0K3DPElPczRJjwiYZ6X/xz/u4amnXuDGG6/Dzc2NL7/8b6mxL774DJ07dyqxPT09nRMnTvHHH0vZu/fvmq6yXQkJGcA//3mv1TaTyURycgqhoWEsXLiEU6dibC7ntdfepvTxGfbDzc2NJ5+cRrt2bdi8eRvffPNdiTk+fH0b8tFH7/DTT7+yaNHSSpXv69uQwYMHsm7dxgonm5w7dzarVq1h9uzvK30dFZk1621iYk7z1lsfVEt599xzByNGDGXKlHuqpbxnn32cZs2aMn36M9VS3sVQUlmDWrVqAUBUVDSBgR1L7E9LK++7d7PIyCPExcVz551TWL58FdnZ2RiNblxzzRiOHYvm5Enzf1JHjhylZ8/uHD58xNIb2q5d22q8GhGR0sUBG4q9ji583Mf5nkc/zPdEjsa8VuVbmIeqNijcfw7z8iG5wDWYlxMBc9LXG9gB/AvowPnkMQ/zepRRmGdzLUpArwGOFp7/JNAac49nNuYlRI4Xvr7toq5a5MoREXGYiIjDPP74w7Rq1ZL/+79Xyo1PSkpm/vyFVtucnZ0IDu7Nk09O47nnXrYpibrS/PHHUsuX/Q4ODjRs6MOAAX3p3bsnr7/+LocPlzfdGBw+fIRvvvmOuLh4mjYtbeEl+9G3b2+6dAlk7doNDBs2mNjYsyxatKzayvfz82XSpImEhoZpBYPLhJLKGrR583b69evDtGn/xNGxZC/iSy/9u8IycnPzePvtD7njjlt48MH7CpcUSSEsLILPPvvK8q3Qzz//hpeXJ1On3o67u7Har0VEpCxJwPpStkcW/oA54RsEjAXaYk5Cj2MeDgvmYaudCmMCrIvh1sJjdgGHgUzMQ1jdAG/MPZiDOX9/pBF4DHNv5V7gIOaE0hlzEju48Bhb1r0UudJ5enryzTf/sdr2ySfvMX/+whKJY5GMjAz++mttie0HD4bx1lv/okuXQEtSOWBAX8aNG0XTpk1wcnIiPj6Bbdt28Ntvi8jNNc/XPHz4EMaOHUWjRr44OZ3/0zQq6rglwfX29ubWWycTGNgRH58GpKdncPz4CebN+80qWRs8eCATJ15Do0Z+ODg4EBoaRnj4Ya6/fgKvvvqGZbb9Ij4+Dfjoo3dYvnwVP/zwPwwGA6NHD2fIkBCaNDEPkD97No61azewbNmf5c64v3PnbiIjj1ptW7RoKW+//W/uvfcunnvuJQCaNWvC1Km30759O9zczOMvHn30aTp0aMe9997Ja6+9jYuLM59++gGRkUd5/fV3S5zr/vunMnBgPx555ClSU1Np0qQxU6bcSLt2bWnQwJvk5GSOHInip59+sUrwr712HCNGDLVMFrlu3Ua++GK2TW1w4fsG8PPP83F1deWGG65l69YdlqS6LJ6entx2201069YVD4/6mEwmYmPj2LhxM0uWrMBkMvHAA/cwePBAAGbMeNZy7Oeff8P69ZvKLR/MvYt+ftZjYc6dS2LHjt38+OPPln93BoOBMWNGMGzYYBo3bmR13WUtx/fPf/6T48dP8sYb71ltv7DH0NHRkVtvnUz//n3x9PTAwcGhRFlFbPkdKVodomfP7nh41Lc6vqL3/FJRUlmDkpKSmDGj/MSxtO7v77//yWq9yVOnYnjzzffLLSclJYV33/2oahUVEbkIHYAPKxHfsfDHVg5Av8IfW7lgThyHVeIYkbooKyuL776bS7duXenUKYC8vDzmzfvdspZ2ZRT9AVz0x3m/fsE8/PA/2L59J+vXb8ZkyqNRIz/Gjh2F0Wjk229/pHPnTtx7751s3bqD5cv/pHjOlpqaCph7/Z5//gk8PDxYuXI1KSmpuLq60Lt3L55//imefvoFEhISadeuDfffP5UdO3azdOkKCgrMyURUVDTXXjuOkJABJZLKkJABAKxatQaACRPGctNNN7B+/Sb++mstBQUFtGzZnClTbsRggCVLVlTqPUlPz2DPnn0MGzYYX9+GxMcnMH36Q7i6ujJv3nxyc83Thl04ei0nJ4etW7cTEjKQhg19LLdDAbi4uBAcHMT27TtJTU3FaDTy8svPkZmZxfLlq8jIyMBodCMkZADPP/8kTz31AllZWfTp04tbbpnM6tXrOHbMPKbk9OkzNrXBhQwGg+X5Dz/8j+7du3HXXVMq/Ft0+vQH8fdvycqVa4iPT8BgMNCsWRMmTZqIp6cHP/zwMxs2bCY/P5+hQ0NYunQFp0+bVyyuqKe3uJMnT7FixV+W176+DZkwYSypqamWL0smTryGyZOvY926jaxcuRqTKd8Sb8towvLccMO1jBkzkrVrNxAdfYL8fHPZ/fsHW41etOV3BGDq1NsJDg5i1aq1nDlzxtJGo0cPx9XVPpa9UlIpIiIiUkfl5ORw6FAYkyZdx1tvfcCdd96K0ejGsWNRFR7r7Oxs6TVxcnJi2LAQAMss9+PGjSIq6jgffviZ1XFGo5HBgwfy7bc/0qaNPwC//vo7MTGlz47frVtXWrZswfvvf8zOnXss2zdv3sZnn31A//7BLFq0jI4dA3BwcOCHH/5nlYQB7Nq1h+Dg3syZM5ecnPOTEIWEDODgwUOcORNbWOfR7N69t8Q9pY0bN2LIkEGVTirh/Iz9DRv6kJWVRcuWLfjll99ZvnxVucetXr2OIUNCCAkZwO+/L7Js7927J+7u7qxcaU6EBw7sh5eXF2+++T7R0ScsceHhh3n11Rfo3v0qtm7dQWBgR/Ly8krc/3jNNaOB8tugouv7/fc/mDLlJoKCeli1UXGtWrUkMLAjs2d/b0nii+TnFzBq1HB+/nk+oaFheHl5MnRoCLt27bVads9WCQmJJXrTAwM70q1bF0tSOW7cKLZs2c5XX31b6fIrMnLkULZt28HXX8+x2u7v39IqqbTld8Td3ciAAX1ZvHg5//vfr1ZxQUE9aNbMPmYHUFIpIiIiUofl5OTw448/Ex5+mC+//JYGDbwrPMZgMPDJJ+9ZDcXLy8tj3bqNlol6mjZtzP79oZahkkXS0zNwdXXF29vLMlz06acfY+vWHURERBIREUl6+vmeoqZNzcNQk5NTSpSVl2fu2QEsy7Hl5ZVcuOjPP1fTp08QwcFBbNiwGYCOHTvQpElj5s79BYB69dzx9PQgLi6hxHlSU1NLnR+jMhwcHHBzK6qjqcL4U6diOHQovERSOXjwQKKjTxARYb7BoGnTxuTn55OenmFV76L3oej9cXNzIz+/oMQQXlvaoCLLlq1k8OCB3HHHrezff7DU2YObNGkEwIkTJ0vsO3nyFE5OTjRq1KjG7sfNzMykadMmAHh41Kd+/fo1cq769etRv359y7wn5bHld6RBA28cHBw4edK+lxBUUiklzG3cgtCEi+v2l+pjNLoSENCaiIgoTWFtR9Qu9kntIlJ5SUnJrF1rnm4rOvo40dHHKzymoKCAAwcO0q9fMGvWrGfduo2cPh1rNVzS3d2d4GBzIlcaJycnwsMP8+GHnzJhwjgmTrwGMM+cGhoaxvff/4+TJ0/h7u4OwKuvvlBmORUJDQ3j1KkYQkIGWJLKkJABJCQksnv3XsDcOwQwduxIxo4dWWGZlVU0BLIyVq1aw7Rp/6RTpwDCwiLw8WlA586d+O9/f7DEGI1GHBwc+Oijd0otw9nZudTtRWxpg4qYTCa+/fZHXnjhaa6//toSPWqAJaE2mUom1EXvTdEXAzWlaNhu0ZDR4kNeq0tlvjiw5XekvPfNniipFBEREZFK+/zzb/D29mbAgL6sW7exxP13+fn5/P33AcswzQslJ6cAsH37LrZv34WHR306duxA166dCQkZyNNPT2f69GcsCcenn35ptbxakQuHupZl5co13Hnnrfj5+ZKcnEJwcBBLlqywlF/0uG7dRrZv32Xbm2CDop7fomGwlbF9+y7OnUti8OCBhIVFEBIygKysLDZu3GKJyc8vIC8vjw8++LTUMoqGI1d0nvLawBYHDx5iy5btjBs3ig0bNpOdbf3FXtHqBKVNXlk0kU1m5qVZz72obo6OZU+gU5ryJmoqUnQNtiz1Z8vvSP365hWbS3vf7ImSShERERGptNzcPN599yNeeuk5nnzyUV599XWre/LMs2ca2LNnn03lpaamsXPnHnbu3ENeXh7jxo3G1dXFMgvnmTNnOXLkaAWllG3Dhk3cfPMkQkIGcOZMLC4uLqxZc37u6pSUVHJycsnNzbW5zhWpV68ePXpczcmTMZw9G2eZddVWJpOJNWvWM27cKObMmUtIyAA2btxilbAlJCTg5OTEkSPHSElJuaj6ltUGpQ1nLU3RpD133307X3wxu3CrORE7c+YsAC1bNi8xYVKLFs3Iy8vj7FlzTNHQ3eITAlWn1NQ00tLSaN68WaWOy8jIoF4993Jj0tPTSU1No0WLisu25Xfk7Nk48vPzadGieaXqeqkpqRQRERGRKsnMzOStt97nlVf+j2eeeZyXX37N0gO5cuVqbrvtZh588D6OHo2yutcxIyOTLVu20aRJI7p06WxVpru7kX79gjl2LIrs7Bx27txDYuI5pk17gHXrNpKSYt0jevBgqCVhKb+uWWzYsJkhQwaRkpLKjh27SEpKtuzPy8tj7dr1DBs2mIKCAk6dirEaHpmYeK7cP/6Dgnri798KMPeANWzYkIED+1Gvnjsff/x5hfUry19/rWXChLE8/PD9NGrkV6JXa8OGzVxzzRief/5JNm/eRkZGhtX+nTt3W9qkNLa0ga3OnUti/vwF3H77LTz22MPA+R7p48dPcOhQODffPBkfH/OMtgaDgSZNGjNixFD+/HO1ZTbcEydOkZ+fz9ixIy33QYaGhtnU62qrZctWcsMN15KVlcWJEyet2nrTpq2WntXioqKi6N+/P/fdd5fVkiNF960WWblyNRMnXsN992VZzf56YRJry+9IRkYmmzZtZcyYETg5OXLmTKxl9teGDX0u+n2oLkoqRURERKTKkpKSefPN93n55ed55pnH+Ne/3iI7O5slS1aQmprGqFHD6dWrh9U62mfOxLJlyzbatWvLvffeaVVeRkYGERGRzJkzFzAnrq+88jqTJk1k6NAQfHwaWK379+mnX9qUVALMn7+Qrl074+npwYcflhwu+v33/yM29ixDhgwiJGSA1XINBw6ElptUXnvtOMtzk8lEcnIKoaFh/PHHEk6cqPokK+fOJTFv3m9MmnQdixcvLzG5TFxcPK+88hqTJk1kzJgReHl5Wr0/J0+eKjeptKUNKmPZspU0adKYgQP7c+hQONu27bTs+/jjz7nttpsYNmww9evXIz8/n9jYsyxYsIhFi5ZZ4s6cieW7737i2mvH0atXD8A83Lo6k8qFC5eQm5vLkCGDGDx4oNW9ufv27S81qdy6dSs5OSZ69uyOt7f1asfF14v87bc/KCgoYMCAvgwZMqjMdSpt+R0BmD37OzIyMujTJ6hEb7e9rFNp8PNrWfHgYKkz5s6dTf1p03AKC6vtqojIZWScX8vargKgiXrsldrFPqld7JPaxT6pXcpXubtTRURERERERIpRUikiIiIiIiJVpnsqRUQukWuB04XPXYHewFuASymxW4H5wAHgXOG2BkBX4EagT7HYB4DdNpz/JWBC4XltsRCo3Lx4IiIiUhcpqRQRuUQmAEVTJWwGNgIbgOEXxH0JfIU58ewDNCncfgbYAqwFHgLuLtw+HAgo5XzxwKrC522A7oXPbymjfqHA34XPBwP2M6eciIiI2DMllTVg0KD+jB8/hsaNG+HiYt0Hcd99D5e6cG9xgYEdmTHjWZ5//mWio0/UZFVF5BK6v9hzD8yJY8IFMQcLt3sBc4ALV6U6BdwF/AfoD3QEbirlXOuBmYABc8/mo5iTVIAnL4jNB74tPLcReAy4waYrEhEREVFSWe06dGjHAw/cw6JFSzl4MAyTyWS1Pyur4tmioqOPM3PmWzZPjy0iV44VhY8TKJlQUrhtPPAjsAxzUllcNvAh8CvQsPB5/3LOF4t5WOxuoDPmRLRVlWouIiIidZWSymoWENCe/Px85s37nYKCkqu1dOvWleeee8LyOj8/n/j4BJYuXcGff64GwN+/lVVP5QMP3MPgwQOtjomLi+f33xexfv0mAGbNehs/P1+rcyUkJPLVV//l778P1sSlikgNiC58LG+BjqKkL/qC7ZHAC8BRzMNXXwS8yylnNfAakA7cg7knVR8KIiIiUln6+6GanToVg5OTE9Om/ZMlS1Zw5MhRq/1Hjhxj5sy3LK+9vb24667bmDr1dqKjTxAefrjUcs+cieWrr74FwGAwcPXVV3HffXcRGhpGfHwCH3/8Oc7OzpZ4Z2cnHn/8Ebp376akUuQyUjSWwbmcmKJ9xQfSZwL/AFILX6/DfL9mQyAQuBdzT2SRvcBzQNFXX7OBHwBfoC/mBNP6a6ryGY2uFQddAq6uLlaPYh/ULvZJ7WKf1C72qa62i61rciqprGZ79+5n/vyFTJgwlr59e3PuXBJ79uxj/fpNREREkp6ezqFD4QC0adOaKVNuIi4uHoCuXTuXmVRmZWVbjgM4ceIUEyaMpU0bf+LjE4iMPJ+8ent7MX36Q2RkZLJixV81eLUiYi/cMCeVp4ptMwFHMN9fuQv4GWhcuK8t5kQzrVh8NrAH+A3zpD3fV+L8AQGtq1LtGuPvr3lr7ZHaxT6pXeyT2sU+1bV22bcvvOIglFTWiPnzF7J8+UqCgnrSs2d3+vULZtiwwaxdu4Evv/wvAP37B/OPf9zNrl17+fzzb3j33ddwd3e3+RwmUx4ARqPRantAQHumT3+IxMRzzJgxk8TEc6UdLiJ2qqi/L7ecmKJ9xX/7DZQ9q+szwBrMieW4wm2emJciuVAOcB0Qhnm22SalxJQmIiLKxsia5erqgr9/M6KjY8jOzqnt6kghtYt9UrvYJ7WLfVK7lE9JZQ1JT89g3bqNrFu3EWdnZ667bjzXXz+Bdes20rlzJyZNmsj8+Qv5/fdF1XbOESOGcOedU9iyZTtff/0tubl51Va2iFwa/piXGzleTkx0sVhbtMecVKZVFIh5zcyWQJyN8UVsHR5zqWRn59hdnUTtYq/ULvZJ7WKf1C6lc6jtCtQFubm5rFq1BoCOHTtw443X880331VrQnn77bdw11238b///cp//vO1EkqRy9TowsdFwMlS9p8s3GcAxtpYZmzho5sNsfmYE0qw7gkVERERKYt6KquZu7sRf3/rCfmdnJwYNKg/WVlZluGorq4uBAaeXwyg+CQ7lWU0GhkzZgSbNm3l2LFoq3IzMzOJiiqvz0NELoUTwLxirw8UPq4u3AfmHsKbME+S8xXm4ax9OD8E9QywHfO9jw9xfjmR1ZjvhbxQPhCDuefTBQgq3D4HiC8lPhc4VFif1kDdumtEREREqkpJZTUrWg6kuKysbE6diuH99z/h0KFwrrqqCzfeeANGoy39BhXLyspi79799OvXh0GDrFekO3z4CC+//Fq1nEdEqu4s8L9Stu8q/AHoiTmp/AdwNfAL5uRzc+F+b6BfYUzvYmXsLIy9kCPgAwwC7uB8krgU87IjF3LBPJHPROA+zL2hIiIiIhUx+Pm1LLmYotRZc+fOpv60aTiFhdV2VUTkMjLOr7yVNS8do9GVgIDWRERE6Z4XO6J2sU9qF/ukdrFPapfy6Z5KERERERERqTIllSIiIiIiIlJluqdSSniucQtCE9JruxpSSMMt7JPaRURERMRMPZUiIiIiIiJSZUoqRUREREREpMqUVIqIiIiIiEiVKakUERERERGRKtM6lSIiIiIiIlJl6qkUERERERGRKlNSKSIiIiIiIlWmpFJERERERESqTEmliIiIiIiIVJmSShEREREREakyJZUiIiIiIiJSZUoqRUREREREpMqUVIqIiIiIiEiVKakUERERERGRKnOq7QpI9QsODmLMmJE0a9YUD4/65OXlce5cEvv3H2TevN9JSUkBoEmTRlx//bV06RKIl5cneXl5xMaeZdOmrSxZsoL8/HxLmV5entxww7V0796NBg28yc8vID4+gR07drJgwRKys7Nr63IvK7a0zYsvPkPnzp3KLOPzz79h/fpNALRp48/EiePp2LEDHh71ycnJ4dSpGNas2cDq1esu1WVdNlxdXfnvf/8DgMlkIjLyKG+88R45OTmWGEdHR8aPH0O/fsE0buyHk5MTyckpHDgQym+//cHZs3FWZY4YMYTBgwfRvHlTXFxcSE1NIzw8gt9/X0R09Amr2ODg3owaNQx//5a4ubmRkZFBZOQxFi1ayqFD4TX/Btip6myXwMCOzJjxbJnniouLZ/r0ZypVZl1WUduMGjWMqVNvByArK4vff1/MokVLS5Sjz5vqVR3tos+a6lVRm0yaNJFJkyaWOC47O5uoqON88813nDx5CqjZz6G6qLraJiRkAP/8571lnic0NIx///ttAIxGNyZOHE9QUE98fRvi4GAgMfEce/f+zW+//UFKSmoNXGntMvj5tSyo7UpI9WnXri2vvvp/HDsWzbZtO8jMzMLR0ZFGjXwJCRlAUlIyzz33Mr6+DXnttZfIzy9g3boNnD0bj4uLC+3ataFfvz5s27aDWbPMv4D16rnz+uuv4Onpwdq1Gzh9OhYHBwMtW7Zk0KB+HD0axcyZb2EymWr56u2brW3zf//3FM2aNWX+/IWllhMaGsbp02fo0KEdL7zwDCkpKWzYsJlz587h5uZG586BdO9+FYsXL2Pu3F8u8VXaNwcHB4YODQGgVasWjBw5jPff/5idO/dYYp54YhpBQT3YunUHkZFHycnJwc/PlyFDBlFQUMCLL/6L+PgEAO68cwpjxoxg3779HDx4iKysLBo0aMCgQf3x8KjPv/71FseORQEwbtwobr/9Fg4fjmT37r9JS0vD29uLPn160axZUz744FN27957qd8Su1Cd7VKUVK5Zs56jR6NKnCsrK4tNm7ZWqsy6rKK2ad68GZ06BQAwfPhg/Pz8uP/+R6zKaNTIT5831aw62uXFF5/RZ001qqhN2rRpTdu2rUsc5+rqyrXXjiMuLo4ZM/4N1NznUF1VXW1TlFT+8cdS4uLiS8SfO5fE7t17cXR05JVX/g9//5Zs2LCFEydOkJ+fT5MmTRgyZBBJSUm88MK/yMzMrNHrvtTUU3mF6dixAw4ODnzyyRfExp612hcefpjHH3+Erl07069fH4xGI88997Llm7Ei8fEJTJgwlo4dVxEefpgxY0bi5+fL229/wN69+61ijx2L4p577qBv396WP9SkdLa2DUBGRgZ//bW23PJuvnkSJpOJF1/8l9U3XosXL+fRRx9k3LjRrFjxFwkJidV+LZer/Px8y/vavn1bRo4chru7u2V/YGBHgoJ6sGjRMn76yfqPpA0bNvPmm69y/fUT+Oqrb2nUyI9Ro4axdesOPvroP1axK1as4oMP3uLWWyfz+uvv4ubmxqRJ13H48BFefvl1q9g//ljCu+++zu2331xnk8rqbJciBw6EsmXL9jLPWZUy66KK2ubUqRhOnYoBwN+/Ja1b+5co4/rrJ+jzpppVR7uAPmuqU0VtcuxYVJnJXZs2rejVqydQc59DdVl1tU2RnTt3Exl5tMzzDRjQl3bt2jB79vesWrXGat/ff+/nmWceZ/To4SxYsLhqF2SndE/lFcbV1QWA7OycEvuOHYsGoGXL5nTt2pnTp8+U+IAH2LFjFwBXXdUFgK5dO5OdnV3iA754bLduXavnAq5gtraNLZydnejYsQPh4YdLHUKxY8cuHBwcLEmq2Kbo/dq+fVeJfSdPnuLMmVjL70Xnzp1wcHBg+/adJWJTUlKJiDhMp04BODk50b59W4xGN3bu3F0iNjc3j3379tOkSWMaNfKr5iu6MlSmXWqzTCmdPm8uX/qsqXmDBvWnd+9eREcfB2ruc0gq78K2sVV5bbh3735ycnKuyM8X/Su7whQNhxgyZCCbNm21GiJUr149wNyd7+3tRURE6fcLJSeb77ls0MAbMN/fUtbY7wtjpWy2tg2Yh2r4+DSw7M/OziE9Pd3y2sPDA0dHR8v9sRdSu1SNt7cXQLnva0BA+wtiy/7dcHJywtPTAy8vzwpjwdxeuo+vpMq0S5F69epZfofy8wtITU21+p2rSplSNfq8sV/6rKk9zZs34+67b6dz507ExJzhiy++AWrucygx8Vx1X8IVq6y2KeLp6VHs8yWflJRUq/vCbWnDK/F3RknlFWbbtp2EhAzgpptu4Kabbig1xmAw4OjoSEFB6bfTFm13cDB3ZDs6OlZ43qJYKZutbQPQpEljPvnkPat96enpLFmyggULFlve74ra0Ja2k/NseV+L3tOiR1t+jyqKvfD8Yq0y7VLknnvu4J577rC8zs/P5/DhI3z11X+JiTlTpTKlavR5Y7/0WXPpmW+HmMjo0cMxmUzMn7+QP/5YSm5uLlBzn0NSsYrapshTT023ep2fn8++ffv58sv/kpycYtP7fSX+ziipvMLk5OTw2mvv0KRJY3x9G+Ls7GzZ5+npwQMP3ENengmTyWRJYC5UtL3oWxeTyVThP/7i39BI6Wxtm59/nk/9+vWtjnVzc2PUqGHcdNMN7Nu33/LtcEVtWNcns6ison/H5b2vRe9p0aMtv0cVxV54frFWmXY5ceIk77wzy2q/g4OBFi2aM2nSRKZMuYl33/2oUmXKxdHnjX3SZ82lFxjYkYcf/gc+Pg3Yvn0XP/zwvxKTgdXU55CUz5a2OXAgtMTni6OjIx06tGPChLFcd9145syZa9P7fSX+ziipvEKdORPLmTOxVtvatWsLQFJSEklJyXh6epR6bNFQvXPnkgBzN33r1q1sipWKVdQ2hw8fKfW4c+fO8dJLz9GsWVNOnjyFyWTC09Oz1Fi1S9UkJSUD4OnpWerMbl5enpb39Hxs2b9HeXl5pKSkWv4ws/V3TqxVpl3S0tLZs2dfiZhdu/bStWtnmjVrWuky5eLo88Y+6bPm0mrWrCnPPPMYKSmpvP76uxw4EFpqXE19DknZbG2bxMRzpQ4j3rlzN8HBQTRv3gywbsPShsB6eXly5MixarwC+6D+8Dpk4MC+5Ofnc/DgIQ4cCKVp0ya0aFFyYpg+fXoBsH//QcD8zYyrqyvdu19VSmwQAH//faAGa37lK942ZSkaTpGbm0tubh7h4Yfp2LFDqR8mffr0qrA8Kanog6Tod6C4li2b06RJY8vvRWhoGPn5+ZbfgeI8PT3o2LEDYWER5OXlERl5lMzMLIKCepaIdXZ2onv3bpw5E6v7KctQmXYpj4ODg2UYU3WVKRXT583lRZ81NWPQoP44Ozvz6qtvlJm0QM19DknZbG2b8hgMBnJyKv586d69Gy4uLlfk54t6Kq8w9eq507dvH6ttRqMbAQEdCArqwfLlK4mPT+D33xfRq1d3Zsx4lrVrNxAXF4+LizPt2rW1rBsWHn4YgOXLVxESMoBHH32Ides2cPq0+X6kli1bMGhQfyIiItm6dUdtXO5lxda26dmze4kbuN3cXAkJGUBOTo7l262ff57PCy88w7///VKZa4fV9TX2LtS0aRPLYt9+fr6Aefa8oqHImzZtZefOPUyYMBZf34YcOXKUnJxcy/pgaWnp/P77IgDOno3jzz9XM2bMCIxGN6v1wQYO7IfBYOCnn34FzGsjzp+/gNtvv4VXXvk/9uzZR1paOl5engQHB9GggTcffPBpLbwj9qE628Xb25tevbpblW8wGGjRohkdO3awTCt/6FC4zWXWZRW1TVJSEt7e3gCWb+mHDx8CnF+zTZ831a862kWfNdWrojbx9vYiPz+fHj2uLvX4ojV0K/N/U2U+h+qy6mqb4uUUcXR0oF27tvj5+bJy5WrA/Jk1cuQw7rzzVtq0aV1incozZ2JZseKvmrrcWmPw82tZ/swRcllp0aI5b78902pbdnY2MTFnWLNmvdV6OY0bN+KGG66la9fOeHp6YDKZOHPmLBs3bmbp0j+txoR7enoyadK1dO/ejQYNvCkoKCAuLoEdO3ayYMHiUpfJEGu2ts2LLz5j9Z9Wfn4+aWnpHD9+goULl1h9I9y6dSuuu24CHTt2wMOjPjk5uZw6dYrVq9ezZs36S3Nhl5GihYvL8uijT3PuXBLXXDOa/v370qRJIxwdHUlOTuHAgVDmz19YYjjS8OFDGDJkEM2bN8PFxZnU1DTCwyP47bdFHD9+wiq2T59ejB49An//Vri5uZKRkcGRI8dYuHAJYWERNXLNl4PqbJfAwI7MmPGs1fE5OTkkJp5j9+69/Pzzb5beSkdHx0q1dV1UUdvExcVb/ki7UGhoGP/+99uAPm+qW3W0iz5rqldFbbJu3UYGDx5Y5v6EhESmTXsKqPz/TZX5HKqLqqttSisnKyuL+PhEtmzZxoIFiy2TI7m5uXHddePp3bsnvr4NMRgMnDuXxJ49+5g//w9SU6+8IclKKkVERERERKTKdE+liIiIiIiIVJmSShEREREREakyJZUiIiIiIiJSZUoqRUREREREpMqUVIqIiIiIiEiVKakUERERERGRKlNSKSIiIiIiIlXmVNsVEBERqU0XLgJvq0cffZr4+ATL6+7duzF48ADatWuLp6cnLi7OAGRmZnHu3DlCQ8P488/VnDx5ynJMRYtyl2X+/IXMn7+w1H1BQT25664puLq6sHLlGn755fdyyyq6/nnzfmPBgsWVrkuRBx64h8GDB7JmzXq++urbKpdT1fqXJj8/n/T0dBITkwgNDWPJkuUkJp6zigkO7s3w4YPx929JvXr1cHAo/fv2L7/8L2vXbqjaRYmIXOGUVIqISJ2WnJxMXFx8ie0+Pg1wdHQkJSWV7OzsEvvz8/MBcHR05OGH/0Hfvr0ByMnJITU11bLfycmJxo0b0axZU4YNG8z33/+PFStWAZCVlVXqud3d3alXz52cnBySk1NK7E9Pzyj1Wnx8GvDQQ/fh4uKCyWTi+usncOLESbZu3WHju1G7Lqb+6enpZGRklthuNLrh798Sf/+WDBzYj3/9601OnYoB4JZbJnPtteMAc7slJCSWWX5WVlYVr0pE5MqnpFJEROq0jz/+otTts2a9jZ+fL99//xObNm0t8/gbb7yevn17k5qaypdf/pc9e/62JJRFXF1dGTFiCLfeeiN33HELp07FcOBAKNu372L79l0lypw0aSKTJk0kIiKS119/1+ZrmTBhLG5ubixYsJiTJ0/xyCMPMGnSxMsmqbyY+i9ZsqLMntYmTRrxzDOP06RJY2677SbefvtDGjXyY/z4MQB8/fUcVq9eV63XIiJSl+ieShERkSqqV8+d0aOHAzB37i/s2rW3REIJkJ2dzZIlK9i0aSsODg7ccMO11V4Xd3cjgwcPxGQysWrVGrZt20lSUjLNmzejW7cu1X6+6laT9T9z5ix//bUWgICA9gC0bdsaBwcHkpKSlVCKiFwkJZUiIiJV1LFjAK6urgBs3rytwviimICA9hiNbtVal2HDBuPm5sa+fftJTDyHyWRi3bqNAIwZM6paz1UTarr+qalpgHloMUBOTi4Anp4etG7d6qLLFxGpy5RUioiIVFGTJo0A832Zubm5FcYX3T/p4OBAo0Z+1VYPg8HAyJHDAPjrr/O9bqtXryM/P59u3brQtGmTajtfdbsU9ffwqA9ARob5ftSwsHAyMjJwcHDglVde4B//uJtu3brg5KQ7g0REKktJpYiISBW5uZl7G4t6vSqSk5NjeW40GqutHn369MLPz5f4+AT27v3bsj0uLp6//z6Ig4MDo0ePqLbzVbearn+jRn4MGzYYgIiIIwBkZGTywQefcu5cEi4uzgwZMojnnnuSL774iMcff4QhQwZRr577xV2YiEgdoa/jREREqshgMNTKsRcaM2YkAGvWrKegoMBq3+rVa+ne/SpCQvozb978UmdIrW3VUf9rrhnN0KEhJba7ublZeinT0tKYO3eeZd/Bg4d4+ukXGDZsMCEhA2jRojlGoxu9e/ekd++eTJ16G5s2beOnn+aRlpZeXZcrInLFUVIpIiJSRRcmQJfq2OLatm1Nx44dMJlMpa6juGvXXhISEmnY0IehQ0NYsmRFtZy3ulRX/evVq0e9evWstuXn55ORkcHJkzGEhh5i8eLlVmuLgrnHcvHi5SxevJxGjfy4+uqruPrqrnTuHIibmytDhw6ie/erePXVNzh7Nq76LlxE5AqipFJERKSKitYudHFxtim+aFIfgMzM6ln3cOxYcy+fo6Mjn376frmxo0YNZ+nSP6stoa0O1VX/efN+K3NJEVudPRvHypWrWblyNa6uLgwY0I8pU26iQQNvJk2ayH/+8/VFlS8icqVSUikiIlJFsbFnAfDy8sLFxcXqnsnS+Po2BMw9aNXR6+Xt7U1wcG/g/CRAZcd64efnS1BQD3bs2H3R564O9lz/7OwcVq9eh7e3F5MnX0e7dm1q/JwiIpcrJZUiIiJVFBZ2mJycHFxcXOjfP7jU4ZvFDRjQF4DDh4+QmXnx9zaOGjUMJycnwsIi+Ne/3iw3durU2xg1ajhjxoy0m6Tycqh/Wpp5KZKKvjAQEanLNPuriIhIFaWnp/Pnn38BcMstk+nZszsODiU/Wl1dXRk3bjT9+wcD8Pvviy763M7OTpYZTf/6a22F8atWmWMCAzvi71/76zJeDvVv1MiPUaOGA3DgwKFLck4RkcuReipFREQuws8//4afny/Bwb156qlHyc7OJjU1zXLfn6OjI56eHjg5OZGfn8/33//E338fuOjzDhzYH09PD1JSUtm2bWeF8SdPniI8/DAdO3ZgzJgRfPHFbKv9N9xwLdddN6HcMmbMmMmJEyfLjQkJGcCAAf3Kjfnoo8/w8vKq1vpXxfvvv4Gjo2Op+1xcXPDy8gTM91ouWrT0os8nInKlUlIpIiJyEUwmE7Nm/YcePTYTEtKf9u3b4enpaZm8Jysri7Nn4wgNDWPFir84dSqmWs5btG7j+vUbycvLs+mYVavW0LFjB/r1C+ann34lJSXFss/JqeI/CRwcKl4GxdHRscxE7Xw5DtVe/6rw8/Mts645ObnExJxh7959LFy4hNTUtIs6l4jIlczg59fSfqaAExERERERkcuK7qkUERERERGRKlNSKSIiIiIiIlWmpFJERERERESqTEmliIiIiIiIVJmSShEREREREakyJZUiIiIiIiJSZUoqRUREREREpMqUVIqIiIiIiEiVKakUERERERGRKlNSKSIiIiIiIlWmpFJERERERESq7P8BPZsCE4M4RwgAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "driversTotalLaps = season2022RaceResults.groupby('Driver')['Laps'].sum().sort_values(ascending=False)[:20]\n",
    "c = assign_color('drivers', driversTotalLaps.index)\n",
    "plt.figure(figsize=(10,6))\n",
    "plt.axis([900,1280,19.6,-0.6])\n",
    "plt.barh([\" \".join(driver.split()[1:]) for driver in driversTotalLaps.index], driversTotalLaps, color=c)\n",
    "for i in range(len(driversTotalLaps)):\n",
    "    plt.text(driversTotalLaps[i]-28, i+0.25, driversTotalLaps[i], fontsize=12, fontweight='bold', color='k')\n",
    "plt.text(1150, 18.6, \"* Reserve Drivers Not Included\", fontweight='bold', color='#bbbbbb')\n",
    "plt.title('Formula 1 - 2022 Season\\nTotal Laps Driven in Race Sessions (Drivers)', fontsize=19, fontweight='bold', \n",
    "          color='#bbbbbb')\n",
    "plt.xlabel('TOTAL LAPS', fontsize=14, fontweight='bold', color='#bbbbbb')\n",
    "plt.ylabel('DRIVERS', fontsize=14, fontweight='bold', color='#bbbbbb')\n",
    "plt.xticks(color='#bbbbbb')\n",
    "plt.yticks(color='#bbbbbb', fontsize=9)\n",
    "plt.axvline(900, color='#bbbbbb')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "17efb98d",
   "metadata": {},
   "source": [
    "From this visual, this shows that our champion Verstappen is also **at the top of list** for total laps driven in all race sessions of 2022 Season, with 1271 laps. Then, McLaren driver **Norris** comes after him by just **18 laps less**.\n",
    "\n",
    "Hamilton and Russell's total driven laps are **nearly identical** (1246 vs 1240). **Ocon**, by the way, got sandwiched between there two Mercedes drivers, with equal 3-lap gaps. The other two drivers who achieved to driver more than 1200 laps are **Gasly** and **Stroll**.\n",
    "\n",
    "Om the other hand, unfortunately, we see **Sainz** has taken the bottom for this kind of stat; he was stuck at **1033 total laps**, due to having high number of DNFs this season and perhaps, few of them occurred on the first lap! Just one place above, the rookie **Guanyu Zhou** is also far behind other drivers, which is 1060 laps totally. Meanwhile, total number of laps between three drivers **Tsunoda**, **Vettel** and **Albon** are so much close, separated by only 1 lap."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8366b34b",
   "metadata": {},
   "source": [
    "If we merge the total laps driven for all drivers **into teams**, then what is the outcome? The visual below will give us the answer..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "de7f8746",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "teamsTotalLaps = season2022RaceResults.groupby('Team')['Laps'].sum().sort_values(ascending=False)\n",
    "c = assign_color('teams', teamsTotalLaps.index)\n",
    "plt.figure(figsize=(10,5))\n",
    "plt.axis([2000,2515,9.5,-0.5])\n",
    "teamLabel = [\" \".join(team.split()[:2]) if len(team.split()) > 2 else team.split()[0] for team in teamsTotalLaps.index]\n",
    "plt.barh(teamLabel, teamsTotalLaps, color=c)\n",
    "for i in range(len(teamsTotalLaps)):\n",
    "    plt.text(teamsTotalLaps[i]-45, i+0.2, teamsTotalLaps[i], fontsize=14, fontweight='bold', color='k')\n",
    "plt.text(2350, 8.6, \"* Reserve Drivers Included\", fontweight='bold', color='#bbbbbb')\n",
    "plt.title('Formula 1 - 2022 Season\\nTotal Laps Driven in Race Sessions (Teams)', fontsize=19, fontweight='bold', \n",
    "           color='#bbbbbb')\n",
    "plt.xlabel('TOTAL LAPS', fontsize=14, fontweight='bold', color='#bbbbbb')\n",
    "plt.ylabel('TEAMS', fontsize=14, fontweight='bold', color='#bbbbbb')\n",
    "plt.xticks(color='#bbbbbb')\n",
    "plt.yticks(color='#bbbbbb')\n",
    "plt.axvline(2000, color='#bbbbbb')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c1c77ae6",
   "metadata": {},
   "source": [
    "Here, **Mercedes** is in the lead for total laps driven, which is **2486 laps** in all race sessions. This could be a supporting fact that their car might be the most durable than others! Champion of the constructors, Red Bull is the runner-up, following the German team by **32 total laps behind**. Then, McLaren and Aston Martin are pursuing the Milton Keynes-based team, with again equal gaps (2454 vs 2448 vs 2442).\n",
    "\n",
    "If we observe the last three teams here, these are all **Ferrari-powered** teams, including Scuderia Ferrari itself! Well, general speaking, it is disappointing to see why these teams have fallen behind their rivals in terms of total race laps; besides driving mistakes, is this really pointing out that Ferrari had the least durability during race sessions in 2022?"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a03f5bb4",
   "metadata": {},
   "source": [
    "Anyway, moving back to drivers, let's reveal one more fact similar to total laps driven. This time, **total distance driven** in all race sessions. They are all carefully calculated by taking each driver's lap counts multiplied by the circuit length (kilometers) for each track. And the visual below has fulfilled the purpose:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "5f3fe82c",
   "metadata": {},
   "outputs": [],
   "source": [
    "trackDistance = season2022RaceCalendar['Circuit Length(km)'].values\n",
    "drivers = season2022RaceResults['Driver'].unique()\n",
    "driversLaps = {}\n",
    "for driver in drivers:\n",
    "    driversLaps[driver] = season2022RaceResults[season2022RaceResults['Driver'] == driver]['Laps'].values\n",
    "for _ in range(2):    driversLaps['Sebastian Vettel'] = np.insert(driversLaps['Sebastian Vettel'], 0, 0)\n",
    "for _ in range(20):   driversLaps['Nico Hulkenberg'] = np.append(driversLaps['Nico Hulkenberg'], 0)\n",
    "for _ in range(15):   driversLaps['Nyck De Vries'] = np.insert(driversLaps['Nyck De Vries'], 0, 0)\n",
    "for _ in range(6):    driversLaps['Nyck De Vries'] = np.append(driversLaps['Nyck De Vries'], 0)\n",
    "driversLaps['Alexander Albon'] = np.insert(driversLaps['Alexander Albon'], 15, 0)\n",
    "driversDist = {}\n",
    "for driver in driversLaps.keys():\n",
    "    driversDist[driver] = round((driversLaps[driver] * trackDistance).sum(), 2)\n",
    "driversTotalDist = pd.Series(driversDist).sort_values(ascending=False)[:20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "42f22d27",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "c = assign_color('drivers', driversTotalDist.index)\n",
    "plt.figure(figsize=(10,6))\n",
    "plt.axis([4800,6423,19.6,-0.6])\n",
    "plt.barh([\" \".join(driver.split()[1:]) for driver in driversTotalDist.index], driversTotalDist, color=c)\n",
    "for i in range(len(driversTotalDist)):\n",
    "    plt.text(driversTotalDist[i]-185, i+0.22, \"{:4.2f}\".format(driversTotalDist[i]), fontsize=12, fontweight='bold', color='k')\n",
    "plt.text(5850, 18.7, '* Reserve Drivers Not Included', fontweight='bold', color='#bbbbbb')\n",
    "plt.title('Formula 1 - 2022 Season\\nTotal Distance Driven in Race Sessions (Drivers)', fontsize=19, fontweight='bold', \n",
    "          color='#bbbbbb')\n",
    "plt.xlabel('DISTANCE (km)', fontsize=14, fontweight='bold', color='#bbbbbb')\n",
    "plt.ylabel('DRIVERS', fontsize=14, fontweight='bold', color='#bbbbbb')\n",
    "plt.xticks(color='#bbbbbb')\n",
    "plt.yticks(color='#bbbbbb', fontsize=9)\n",
    "plt.axvline(4800, color='#bbbbbb')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "09661f67",
   "metadata": {},
   "source": [
    "Yes, Verstappen again became the top driver here, by traveling **6391.72 km** total in all race sessions of 2022 Season! Then, another driver who succeeded to drive over 6300 km is **Lando Norris**, where the Briton was also in 2nd for total laps driven according to the visual above. Ocon, this time, was not sandwhiched between two drivers of same team and individually has taken the 3rd place.\n",
    "\n",
    "Next, two Mercedes drivers' total driven distances are so close to each other, which is about **12.5 km**. But interestingly, the most identical distance driven was achieved by Haas drivers, where their gaps were limited to **less than 1 km**! Moreover, among the drivers of this visual, **Gasly** and **Russell** had the smallest gap for distance driven, just **0.13 km!**\n",
    "\n",
    "Similarly, Carlos Sainz is also at the bottom here; he only drove **5114.70 km** in all race sessions, more than a thousand km less than the top! One place above, we encounter Zhou again with 5255.52 km. Among these three drivers, Tsunoda, Albon and Vettel, whose total driven laps were separated by 1 lap according to the previous visual, Tsunoda got ahead of the rest with more than 5500 km."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2ce518df",
   "metadata": {},
   "source": [
    "## Discussions for 2023 Season"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "db958257",
   "metadata": {},
   "source": [
    "**Well, we are approaching to the end of the analyses. Surely, I hope that you've gained lots of insights about how 2022 season progressed and concluded with regards to many aspects and drivers' and teams' perspectives! At this point, it is convenient to give our final verdicts and discuss the expectations for 2023 Season:**\n",
    "\n",
    "* Without a doubt, **Red Bull** had a wonderful season to take the crown for Constructors Standings (their last one came from 2013) and ended Mercedes' domination after 8 years! At the same time, **Max Verstappen** showed his superiority throughout the season to get another Drivers Championship title, as proved with the analyses above! With the Dutchman, Checo Perez, and their superb F1 car, of course Milton Keynes-headquartered team would like to continue to achieve more in the new era to write the history of their own in F1.\n",
    "* **Ferrari** had a wonderful start in the first few opening races of the season, thanks to Charles Leclerc's superb driving, resulted in **two wins, three podiums and three fastest laps**; plus Carlos Sainz's great help throughout all the races possible, where the Spaniard successfully claimed the maiden pole position and win this season! However, as the time advanced, things have turned against the team, such as car durability issues, erroneous driving, misconceptions between the drivers and race engineers for strategies in the middle of the races, thus they have fallen behind Red Bull and Verstappen afterwards. Nevertheless, Leclerc and Ferrari finished 2nd in both standings at the end. Hopefully, we'll see the Prancing Horse to be more competitive and come back for more wins to make all the Tifosis happy in 2023.\n",
    "* About **Mercedes**, they completed the season with only one win and one pole position (both of them came from George Russell). Similarly, it was regrettable to see Lewis Hamilton to not score any win and any pole position in all 22 races, which was something the Briton did not experience in his whole F1 career! On the other side, the German team concluded this season by staying behind Red Bull and Ferrari, after their **8-consecutive-season long** Constructors Championship title. We believe that they'll make their car in the new era better with all aspects, and for this purpose, they'll want to pursue getting new wins and extend their acheivements again with the same driver squad.\n",
    "* **Alpine** can be considered as the **best team of the rest** if we exclude the top three. Despite scoring no podiums amongst all races, they've had solid consistency overall by obtaining points in most of the races. More interestingly, the Frenchman **Esteban Ocon** has finished the season **ahead of his veteran teammate** Fernando Alonso by 11 points (92 vs 81)! In the end, as Alonso departed from the team, another French driver **Pierre Gasly** has joined for 2023 Season. Now, we can imply that there will be **a full-fledged French team** to compete in F1, such as the originality of the team is French, the main drivers are French and their engine supplier is French _(Renault),_ with hopes that they'll do better than previously.\n",
    "* **McLaren** fought with Alpine mostly throughout the season, but in the end, they finished 14 points behind the French team (173 vs 159). About the drivers, Lando Norris had one of the strongest season in his career by becoming another driver to score over 100 points, including a podium from Emilia Romagna GP. Daniel Ricciardo, on the other hand, finished the season too far behind, only scoring roughly one-third of the points compared to the British driver. Often times, he had challenges with the car, plus some trustworthy issues. That's why it was the right decision for him to leave the team earlier, even there was one more year contract available. Now, we know that the Australian joined Red Bull back as **the reserve driver** where he became Verstappen's teammate before. For the preparation of the next season, the orange team has agreed to go to races with **Oscar Piastri** who is another Australian and already known for becoming F3 and F2 champion previously and refused to join Alpine through the controversies! We wonder how we will show his performance against Norris and other rivals.\n",
    "* Now, let's talk about **Alfa Romeo**. It is possible to state that they started this season with decent points, thanks to great driving performed by Valtteri Bottas, staying **in the top ten seven times** among the first 10 races. However, the setbacks they received and less competitiveness afterwardso overall really put them behind as the season progressed, but at least they defended the 6th place in Constructors Standings until the last race! In addition, **Guanyu Zhou** performed pretty well in his rookie season and sometimes he was able to outqualify and outrace his teammate. Thus, he deserved to race with the Swiss-Italian team for the next season, an evidence that good confidence was built between the team and the Chinese driver mutually. \n",
    "* Next, **Aston Martin** concluded the season as the 7th best team; of course, they've pefromed good struggles against other similar teams in the grid, but their best race result was 6th place, which wasn't sufficient for stepping on podiums in all races. Well, believe it or not, it was **Sebastian Vettel's last season** in his F1 career. When he announced his retirement in the middle of this season, we were all quite upset to no longer see such a great driver, not matter you loved him or hated him! All we can wish is good luck for the rest of his life and with high expectations, we hope to see him around the tracks or even other motorsports events. As a consequence, if a world champion driver was gone, then another world champion driver will come. Yep, **Fernando Alonso** declared that he will join the British team for 2023 Season to chase for new accomplishments together with Lance Stroll, after his two years with Alpine.\n",
    "* About **Haas**, it was good to see the team back in the points similar to their few previous seasons, **after having a completely pointless season** in 2021! Although efforts have been made by Kevin Magnussen and Mick Schumacher, the overall car strength was not enough to compete with other teams in the midfield in order to stay higher. Moreover, encountering young Schumacher to gain points in two different races was quite important feat, but the American-based team did not want him for the next season. Instead, he's been replaced by another German driver **Nico Hulkenberg** who has already had over 100 Grands Prix starts (but his podium-less career continues). Let's see if him and Magnussen can have a good friendship and forget about all the old grudges they got in the past.\n",
    "* **AlphaTauri** has completed the season in 9th place and just two points behind Haas. Well, on the one hand, that seems to be a reasonable result for the backmarker team, but on the other hand, they could have performed better against the teams from the midfield group. After Pierre Gasly left the Faenza-based team, we're going to see another Dutch driver, **Nyck De Vries** in the grid, where he's known for winning Formula E championship title a few years ago and, remember the anaylses above, he successfully finished the one-off race in Italy with points. Yuki Tsunoda, by the way, will stay with the team for 3rd consecutive year, although he finished this season behind Gasly. Accept it or not, the Japanese driver often presented us good drives in some races with such slow pace car like this. \n",
    "* It was sad to see **Williams** to finish at the bottom of the Constructors Standings, with only 8 points! Despite their under-performing car, we saw **Alex Albon** doing exceptional jobs in some races to make the team proud, while at the same time, raising his own reputation by showing off his skills in these such races to attract other teams for the future. At the end of 2022 Season, it was time to say goodbye to Nicholas Latifi (should we call him **Goatifi**?) after having three years with the team, later announched by himself that the Canadian will take a break for racing and continue his life for education and pursue for MBA degree. For the next season, a new rookie will take place in the team, that is **Logan Sargeant** the American (we haven't seen one since 2015), having the right to race in full-season long calendar, by accumulating enough points in Formula 2 to obtain his superlicense."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e1e5fa9f",
   "metadata": {},
   "source": [
    "### How's 2023 Season Progressing?\n",
    "\n",
    "_At the time of the release of these analyses, we've already started the second half of 2023 Season;_ that is, there has already been **14 completed races** so far! Though, this could've have been 15; however, in May, **the race in Imola was ruled out** due to **excessive flooding** in the town nearby and this also badly affected the facilities and the tarmac of Imola circuit! As a consequence, it was impossible to organize the race weekend there, but let's see whether or not it might be added to the race calendar again should the timing and conditions are fine.\n",
    "\n",
    "_Anyway, let's spill the words about how we've concluded the first half of F1 2023 Season:_ \n",
    "\n",
    "It's one-hundred percent doubtless that **Max Verstappen** and **Red Bull** are dominating the season, by leading both Drivers and Constructors Championship by very large point gaps! Those 10 of the race wins came from the Dutchman while the rest were from Sergio Perez (Saudi Arabia & Azerbaijan)! In terms of career win counts, Verstappen has overtaken the Brazilian legend **Ayrton Senna (41)** and placed 5th in F1 career wins of all time! Moreover, there are already more than 100 points of gap between him and Perez, altough the Mexican is in the 2nd place of Drivers Standings of 2023 Season. To be honest, most of the people think that **Verstappen will take the championship title for the 3rd consecutive time** and it is getting boring to see Red Bull to triumph in all race weekends! Could this change a bit for the rest of the races and come across different drivers and teams in their favors to step on the top of the podium?\n",
    "\n",
    "Together with that, the most leap-forward progression came from **Astom Martin** team, where in the first few races they looked like the 2nd best team of the season, even challenged against the top teams and they achieved that thanks to double world champion **Fernando Alonso** who earned several consecutive podiums with this team and an important milestone to reach **100 career podiums**, despite **being more than 40 years old!** We believe that he's still hunger for new achievements and did not lose his passion for racing in F1 for the years to come; more importantly, will he be able to get **33rd career race win** this season? At the time, he's in the 3rd place of Drivers Standings, while his teammate Lance Stroll got far behind in the standings, compared to the veteran.\n",
    "\n",
    "About **Mercedes**, they seem to have similar performance as in 2022 and they stepped on the podium ceremony several times with Lewis Hamilton and George Russell (2nd place was their best result), plus a single pole position from Hungary. The 7-time world champion **Hamilton** (who's P4 in Drivers Standings) believes that he will continue racing with the German team if they still keep pushing for car development in the new era and make another contract for the upcoming years when the conditions are agreed. Similar to Alonso, he also did not lose his faith for racing in F1 and for this reason, he'd like to see the team in the top again, face new challenges and add new race wins, titles and achievements.\n",
    "\n",
    "For **Ferrari**, their campaign in 2023 continues with many ups and downs. Despite a few podiums and pole position in Azerbaijan earned by **Leclerc**, himself and his teammate **Sainz** could not deliver the expected performance adequately! In addition, these setbacks came from false race strategies, wrong tyre choices and sometimes slow pit stops, making them fall behind the rivals in the championship, which altogether cause all the Tifosi disappointed! If they cannot come back stronger for the second half of the season and cannot make up for the losses they had, it is certain that year 2023 will be another one as a lost season for the Italian team.\n",
    "\n",
    "Besides, another remarkable progression was carried out by **McLaren**. The orange papaya team achieved to **score lots of points in the last three** races which was several fold the points they earned from the first nine races! There, Lando Norris achieved to get on the podium by placing 2nd in Great Britain and Hungary, plus Oscar Piastri performed pretty well in these races of his rookie season. Furthermore, he became the first drivers in the last ten years to lead a race, even though this was from the Sprint race of Belgium! We shall see if they sustain the trend to compete with the top teams and bring back the glories they had in the past.\n",
    "\n",
    "Lastly, **Nyck De Vries**'s contract in AlphaTauri was terminated after first 10 races, although he got the opportunity to compete in a full season of F1, but his poor performance against teammate Yuki Tsunoda and earning none of the points forced Red Bull's sister team re-think about it and consequenly, he got replaced by multiple Grand Prix winner, Honey Badger... yeah, you guessed that right, **Daniel Ricciardo** to stay in the grid for the rest of the season. It is great to see the Australian to get back in the seat of an F1 car to show his mettle and he knows the team pretty well (because he had raced for them in 2012 and 2013 Season, the time it was called Toro Rosso). Can he fulfill the expectations with this team by his competitive pace and scoring points regularly and by showing his performance throughout the races overall, will he earn the right to move back to Red Bull as a full-time driver for the next seasons? These are the questions in our mind.\n",
    "\n",
    "**UPDATE 1:** The second half of 2023 Season has been started with Dutch GP. The championship leader Max Verstappen obtained the pole position and took the win in his home race, even there were red flags and mixed dry-wet conditions! This win was very meaningful in the way that he reached the **nine consecutive race wins** record, matching Sebastian Vettel.\n",
    "\n",
    "**UPDATE 2:** Additionally in Dutch GP, Daniel Ricciardo has broken his wrist bone during after an accident caused by himself int the practice sessions, unfortunately. As stated from the hospital, he will not be able to continue racing until the broken bone is completely recovered; that's why AlphaTauri's reserve driver **Liam Lawson** got the chance for F1 debut.\n",
    "\n",
    "**UPDATE 3:** Mercedes announced that their drivers Lewis Hamilton and George Russell will stay in the team **until the end of 2025 season.** That means we're going to see the British duo together for at least 50 Grands Prix, meanwhile Hamilton will be on the quest for chasing the 8th world championship title!\n",
    "\n",
    "**UPDATE 4:** After Italy GP has been held in Monza circuit, Max Verstappen continued to write history in F1! Although Carlos Sainz started the race on pole, the Dutchman again showed everyone that he was unbeatable! In conclusion, he's reached **10 wins in a row** which was a new record he seized right now, beating Sebastian Vettel! Likewise, Red Bull team sustained winning races, increasing their streak to **15 wins** that no other teams have achieved before!"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a05bcfe0",
   "metadata": {},
   "source": [
    "### And for us as spectators...\n",
    "\n",
    "It is magnificent to see lots of spectators taking part in the grandstands in almost all race tracks organized so far this season, such as the people supporting their favorite drivers and teams by wearing their caps and shirts. Plus, more noticeably, **the Orange Army** for supporting Verstappen! Whenever the number was announced, it is unbelievable that we could see 300,000 or 400,000 spectators coming to watch all F1 action live for the whole weekend!\n",
    "\n",
    "Of course, if you don't want to limit yourself by just watching the races live or on TV or from Internet, you still have the chance, for instance, to watch some series for incidents occurred in details among the races from previous seasobs, from **Drive to Survive** in Netflix. For gaming, grab a steering wheel, a racing seat, a big monitor and begin playing **F1 23** (by EA Sports and Codemasters) on PC or console! Over and above, if you'd like to manage a team, direct the car development and tell your drivers what to do like a race engineer in all sessions of a race weekend for victory, then **F1 Manager 23** (by Frontier Developments) will be a great choice to spend several hours!"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "68800700",
   "metadata": {},
   "source": [
    "## All right ,that's all everyone! Thank you very much for reading the analyses, and always stay with Formula 1!"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}