ggplot2_tutorial.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# A brief introduction to ggplot 2\n",
    "\n",
    "We first load the `ggplot2` and `tidyr` libraries."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "library(\"ggplot2\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let us have a glance at the dataset, it should be included in your R-session."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th></th><th scope=col>Plant</th><th scope=col>Type</th><th scope=col>Treatment</th><th scope=col>conc</th><th scope=col>uptake</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>1</th><td>Qn1</td><td>Quebec</td><td>nonchilled</td><td>95</td><td>16</td></tr>\n",
       "\t<tr><th scope=row>2</th><td>Qn1</td><td>Quebec</td><td>nonchilled</td><td>175</td><td>30.4</td></tr>\n",
       "\t<tr><th scope=row>3</th><td>Qn1</td><td>Quebec</td><td>nonchilled</td><td>250</td><td>34.8</td></tr>\n",
       "\t<tr><th scope=row>4</th><td>Qn1</td><td>Quebec</td><td>nonchilled</td><td>350</td><td>37.2</td></tr>\n",
       "\t<tr><th scope=row>5</th><td>Qn1</td><td>Quebec</td><td>nonchilled</td><td>500</td><td>35.3</td></tr>\n",
       "\t<tr><th scope=row>6</th><td>Qn1</td><td>Quebec</td><td>nonchilled</td><td>675</td><td>39.2</td></tr>\n",
       "\t<tr><th scope=row>7</th><td>Qn1</td><td>Quebec</td><td>nonchilled</td><td>1000</td><td>39.7</td></tr>\n",
       "\t<tr><th scope=row>8</th><td>Qn2</td><td>Quebec</td><td>nonchilled</td><td>95</td><td>13.6</td></tr>\n",
       "\t<tr><th scope=row>9</th><td>Qn2</td><td>Quebec</td><td>nonchilled</td><td>175</td><td>27.3</td></tr>\n",
       "\t<tr><th scope=row>10</th><td>Qn2</td><td>Quebec</td><td>nonchilled</td><td>250</td><td>37.1</td></tr>\n",
       "\t<tr><th scope=row>11</th><td>Qn2</td><td>Quebec</td><td>nonchilled</td><td>350</td><td>41.8</td></tr>\n",
       "\t<tr><th scope=row>12</th><td>Qn2</td><td>Quebec</td><td>nonchilled</td><td>500</td><td>40.6</td></tr>\n",
       "\t<tr><th scope=row>13</th><td>Qn2</td><td>Quebec</td><td>nonchilled</td><td>675</td><td>41.4</td></tr>\n",
       "\t<tr><th scope=row>14</th><td>Qn2</td><td>Quebec</td><td>nonchilled</td><td>1000</td><td>44.3</td></tr>\n",
       "\t<tr><th scope=row>15</th><td>Qn3</td><td>Quebec</td><td>nonchilled</td><td>95</td><td>16.2</td></tr>\n",
       "\t<tr><th scope=row>16</th><td>Qn3</td><td>Quebec</td><td>nonchilled</td><td>175</td><td>32.4</td></tr>\n",
       "\t<tr><th scope=row>17</th><td>Qn3</td><td>Quebec</td><td>nonchilled</td><td>250</td><td>40.3</td></tr>\n",
       "\t<tr><th scope=row>18</th><td>Qn3</td><td>Quebec</td><td>nonchilled</td><td>350</td><td>42.1</td></tr>\n",
       "\t<tr><th scope=row>19</th><td>Qn3</td><td>Quebec</td><td>nonchilled</td><td>500</td><td>42.9</td></tr>\n",
       "\t<tr><th scope=row>20</th><td>Qn3</td><td>Quebec</td><td>nonchilled</td><td>675</td><td>43.9</td></tr>\n",
       "\t<tr><th scope=row>21</th><td>Qn3</td><td>Quebec</td><td>nonchilled</td><td>1000</td><td>45.5</td></tr>\n",
       "\t<tr><th scope=row>22</th><td>Qc1</td><td>Quebec</td><td>chilled</td><td>95</td><td>14.2</td></tr>\n",
       "\t<tr><th scope=row>23</th><td>Qc1</td><td>Quebec</td><td>chilled</td><td>175</td><td>24.1</td></tr>\n",
       "\t<tr><th scope=row>24</th><td>Qc1</td><td>Quebec</td><td>chilled</td><td>250</td><td>30.3</td></tr>\n",
       "\t<tr><th scope=row>25</th><td>Qc1</td><td>Quebec</td><td>chilled</td><td>350</td><td>34.6</td></tr>\n",
       "\t<tr><th scope=row>26</th><td>Qc1</td><td>Quebec</td><td>chilled</td><td>500</td><td>32.5</td></tr>\n",
       "\t<tr><th scope=row>27</th><td>Qc1</td><td>Quebec</td><td>chilled</td><td>675</td><td>35.4</td></tr>\n",
       "\t<tr><th scope=row>28</th><td>Qc1</td><td>Quebec</td><td>chilled</td><td>1000</td><td>38.7</td></tr>\n",
       "\t<tr><th scope=row>29</th><td>Qc2</td><td>Quebec</td><td>chilled</td><td>95</td><td>9.3</td></tr>\n",
       "\t<tr><th scope=row>30</th><td>Qc2</td><td>Quebec</td><td>chilled</td><td>175</td><td>27.3</td></tr>\n",
       "\t<tr><th scope=row>31</th><td>Qc2</td><td>Quebec</td><td>chilled</td><td>250</td><td>35</td></tr>\n",
       "\t<tr><th scope=row>32</th><td>Qc2</td><td>Quebec</td><td>chilled</td><td>350</td><td>38.8</td></tr>\n",
       "\t<tr><th scope=row>33</th><td>Qc2</td><td>Quebec</td><td>chilled</td><td>500</td><td>38.6</td></tr>\n",
       "\t<tr><th scope=row>34</th><td>Qc2</td><td>Quebec</td><td>chilled</td><td>675</td><td>37.5</td></tr>\n",
       "\t<tr><th scope=row>35</th><td>Qc2</td><td>Quebec</td><td>chilled</td><td>1000</td><td>42.4</td></tr>\n",
       "\t<tr><th scope=row>36</th><td>Qc3</td><td>Quebec</td><td>chilled</td><td>95</td><td>15.1</td></tr>\n",
       "\t<tr><th scope=row>37</th><td>Qc3</td><td>Quebec</td><td>chilled</td><td>175</td><td>21</td></tr>\n",
       "\t<tr><th scope=row>38</th><td>Qc3</td><td>Quebec</td><td>chilled</td><td>250</td><td>38.1</td></tr>\n",
       "\t<tr><th scope=row>39</th><td>Qc3</td><td>Quebec</td><td>chilled</td><td>350</td><td>34</td></tr>\n",
       "\t<tr><th scope=row>40</th><td>Qc3</td><td>Quebec</td><td>chilled</td><td>500</td><td>38.9</td></tr>\n",
       "\t<tr><th scope=row>41</th><td>Qc3</td><td>Quebec</td><td>chilled</td><td>675</td><td>39.6</td></tr>\n",
       "\t<tr><th scope=row>42</th><td>Qc3</td><td>Quebec</td><td>chilled</td><td>1000</td><td>41.4</td></tr>\n",
       "\t<tr><th scope=row>43</th><td>Mn1</td><td>Mississippi</td><td>nonchilled</td><td>95</td><td>10.6</td></tr>\n",
       "\t<tr><th scope=row>44</th><td>Mn1</td><td>Mississippi</td><td>nonchilled</td><td>175</td><td>19.2</td></tr>\n",
       "\t<tr><th scope=row>45</th><td>Mn1</td><td>Mississippi</td><td>nonchilled</td><td>250</td><td>26.2</td></tr>\n",
       "\t<tr><th scope=row>46</th><td>Mn1</td><td>Mississippi</td><td>nonchilled</td><td>350</td><td>30</td></tr>\n",
       "\t<tr><th scope=row>47</th><td>Mn1</td><td>Mississippi</td><td>nonchilled</td><td>500</td><td>30.9</td></tr>\n",
       "\t<tr><th scope=row>48</th><td>Mn1</td><td>Mississippi</td><td>nonchilled</td><td>675</td><td>32.4</td></tr>\n",
       "\t<tr><th scope=row>49</th><td>Mn1</td><td>Mississippi</td><td>nonchilled</td><td>1000</td><td>35.5</td></tr>\n",
       "\t<tr><th scope=row>50</th><td>Mn2</td><td>Mississippi</td><td>nonchilled</td><td>95</td><td>12</td></tr>\n",
       "\t<tr><th scope=row>51</th><td>Mn2</td><td>Mississippi</td><td>nonchilled</td><td>175</td><td>22</td></tr>\n",
       "\t<tr><th scope=row>52</th><td>Mn2</td><td>Mississippi</td><td>nonchilled</td><td>250</td><td>30.6</td></tr>\n",
       "\t<tr><th scope=row>53</th><td>Mn2</td><td>Mississippi</td><td>nonchilled</td><td>350</td><td>31.8</td></tr>\n",
       "\t<tr><th scope=row>54</th><td>Mn2</td><td>Mississippi</td><td>nonchilled</td><td>500</td><td>32.4</td></tr>\n",
       "\t<tr><th scope=row>55</th><td>Mn2</td><td>Mississippi</td><td>nonchilled</td><td>675</td><td>31.1</td></tr>\n",
       "\t<tr><th scope=row>56</th><td>Mn2</td><td>Mississippi</td><td>nonchilled</td><td>1000</td><td>31.5</td></tr>\n",
       "\t<tr><th scope=row>57</th><td>Mn3</td><td>Mississippi</td><td>nonchilled</td><td>95</td><td>11.3</td></tr>\n",
       "\t<tr><th scope=row>58</th><td>Mn3</td><td>Mississippi</td><td>nonchilled</td><td>175</td><td>19.4</td></tr>\n",
       "\t<tr><th scope=row>59</th><td>Mn3</td><td>Mississippi</td><td>nonchilled</td><td>250</td><td>25.8</td></tr>\n",
       "\t<tr><th scope=row>60</th><td>Mn3</td><td>Mississippi</td><td>nonchilled</td><td>350</td><td>27.9</td></tr>\n",
       "\t<tr><th scope=row>61</th><td>Mn3</td><td>Mississippi</td><td>nonchilled</td><td>500</td><td>28.5</td></tr>\n",
       "\t<tr><th scope=row>62</th><td>Mn3</td><td>Mississippi</td><td>nonchilled</td><td>675</td><td>28.1</td></tr>\n",
       "\t<tr><th scope=row>63</th><td>Mn3</td><td>Mississippi</td><td>nonchilled</td><td>1000</td><td>27.8</td></tr>\n",
       "\t<tr><th scope=row>64</th><td>Mc1</td><td>Mississippi</td><td>chilled</td><td>95</td><td>10.5</td></tr>\n",
       "\t<tr><th scope=row>65</th><td>Mc1</td><td>Mississippi</td><td>chilled</td><td>175</td><td>14.9</td></tr>\n",
       "\t<tr><th scope=row>66</th><td>Mc1</td><td>Mississippi</td><td>chilled</td><td>250</td><td>18.1</td></tr>\n",
       "\t<tr><th scope=row>67</th><td>Mc1</td><td>Mississippi</td><td>chilled</td><td>350</td><td>18.9</td></tr>\n",
       "\t<tr><th scope=row>68</th><td>Mc1</td><td>Mississippi</td><td>chilled</td><td>500</td><td>19.5</td></tr>\n",
       "\t<tr><th scope=row>69</th><td>Mc1</td><td>Mississippi</td><td>chilled</td><td>675</td><td>22.2</td></tr>\n",
       "\t<tr><th scope=row>70</th><td>Mc1</td><td>Mississippi</td><td>chilled</td><td>1000</td><td>21.9</td></tr>\n",
       "\t<tr><th scope=row>71</th><td>Mc2</td><td>Mississippi</td><td>chilled</td><td>95</td><td>7.7</td></tr>\n",
       "\t<tr><th scope=row>72</th><td>Mc2</td><td>Mississippi</td><td>chilled</td><td>175</td><td>11.4</td></tr>\n",
       "\t<tr><th scope=row>73</th><td>Mc2</td><td>Mississippi</td><td>chilled</td><td>250</td><td>12.3</td></tr>\n",
       "\t<tr><th scope=row>74</th><td>Mc2</td><td>Mississippi</td><td>chilled</td><td>350</td><td>13</td></tr>\n",
       "\t<tr><th scope=row>75</th><td>Mc2</td><td>Mississippi</td><td>chilled</td><td>500</td><td>12.5</td></tr>\n",
       "\t<tr><th scope=row>76</th><td>Mc2</td><td>Mississippi</td><td>chilled</td><td>675</td><td>13.7</td></tr>\n",
       "\t<tr><th scope=row>77</th><td>Mc2</td><td>Mississippi</td><td>chilled</td><td>1000</td><td>14.4</td></tr>\n",
       "\t<tr><th scope=row>78</th><td>Mc3</td><td>Mississippi</td><td>chilled</td><td>95</td><td>10.6</td></tr>\n",
       "\t<tr><th scope=row>79</th><td>Mc3</td><td>Mississippi</td><td>chilled</td><td>175</td><td>18</td></tr>\n",
       "\t<tr><th scope=row>80</th><td>Mc3</td><td>Mississippi</td><td>chilled</td><td>250</td><td>17.9</td></tr>\n",
       "\t<tr><th scope=row>81</th><td>Mc3</td><td>Mississippi</td><td>chilled</td><td>350</td><td>17.9</td></tr>\n",
       "\t<tr><th scope=row>82</th><td>Mc3</td><td>Mississippi</td><td>chilled</td><td>500</td><td>17.9</td></tr>\n",
       "\t<tr><th scope=row>83</th><td>Mc3</td><td>Mississippi</td><td>chilled</td><td>675</td><td>18.9</td></tr>\n",
       "\t<tr><th scope=row>84</th><td>Mc3</td><td>Mississippi</td><td>chilled</td><td>1000</td><td>19.9</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|lllll}\n",
       "  & Plant & Type & Treatment & conc & uptake\\\\\n",
       "\\hline\n",
       "\t1 & Qn1 & Quebec & nonchilled & 95 & 16\\\\\n",
       "\t2 & Qn1 & Quebec & nonchilled & 175 & 30.4\\\\\n",
       "\t3 & Qn1 & Quebec & nonchilled & 250 & 34.8\\\\\n",
       "\t4 & Qn1 & Quebec & nonchilled & 350 & 37.2\\\\\n",
       "\t5 & Qn1 & Quebec & nonchilled & 500 & 35.3\\\\\n",
       "\t6 & Qn1 & Quebec & nonchilled & 675 & 39.2\\\\\n",
       "\t7 & Qn1 & Quebec & nonchilled & 1000 & 39.7\\\\\n",
       "\t8 & Qn2 & Quebec & nonchilled & 95 & 13.6\\\\\n",
       "\t9 & Qn2 & Quebec & nonchilled & 175 & 27.3\\\\\n",
       "\t10 & Qn2 & Quebec & nonchilled & 250 & 37.1\\\\\n",
       "\t11 & Qn2 & Quebec & nonchilled & 350 & 41.8\\\\\n",
       "\t12 & Qn2 & Quebec & nonchilled & 500 & 40.6\\\\\n",
       "\t13 & Qn2 & Quebec & nonchilled & 675 & 41.4\\\\\n",
       "\t14 & Qn2 & Quebec & nonchilled & 1000 & 44.3\\\\\n",
       "\t15 & Qn3 & Quebec & nonchilled & 95 & 16.2\\\\\n",
       "\t16 & Qn3 & Quebec & nonchilled & 175 & 32.4\\\\\n",
       "\t17 & Qn3 & Quebec & nonchilled & 250 & 40.3\\\\\n",
       "\t18 & Qn3 & Quebec & nonchilled & 350 & 42.1\\\\\n",
       "\t19 & Qn3 & Quebec & nonchilled & 500 & 42.9\\\\\n",
       "\t20 & Qn3 & Quebec & nonchilled & 675 & 43.9\\\\\n",
       "\t21 & Qn3 & Quebec & nonchilled & 1000 & 45.5\\\\\n",
       "\t22 & Qc1 & Quebec & chilled & 95 & 14.2\\\\\n",
       "\t23 & Qc1 & Quebec & chilled & 175 & 24.1\\\\\n",
       "\t24 & Qc1 & Quebec & chilled & 250 & 30.3\\\\\n",
       "\t25 & Qc1 & Quebec & chilled & 350 & 34.6\\\\\n",
       "\t26 & Qc1 & Quebec & chilled & 500 & 32.5\\\\\n",
       "\t27 & Qc1 & Quebec & chilled & 675 & 35.4\\\\\n",
       "\t28 & Qc1 & Quebec & chilled & 1000 & 38.7\\\\\n",
       "\t29 & Qc2 & Quebec & chilled & 95 & 9.3\\\\\n",
       "\t30 & Qc2 & Quebec & chilled & 175 & 27.3\\\\\n",
       "\t31 & Qc2 & Quebec & chilled & 250 & 35\\\\\n",
       "\t32 & Qc2 & Quebec & chilled & 350 & 38.8\\\\\n",
       "\t33 & Qc2 & Quebec & chilled & 500 & 38.6\\\\\n",
       "\t34 & Qc2 & Quebec & chilled & 675 & 37.5\\\\\n",
       "\t35 & Qc2 & Quebec & chilled & 1000 & 42.4\\\\\n",
       "\t36 & Qc3 & Quebec & chilled & 95 & 15.1\\\\\n",
       "\t37 & Qc3 & Quebec & chilled & 175 & 21\\\\\n",
       "\t38 & Qc3 & Quebec & chilled & 250 & 38.1\\\\\n",
       "\t39 & Qc3 & Quebec & chilled & 350 & 34\\\\\n",
       "\t40 & Qc3 & Quebec & chilled & 500 & 38.9\\\\\n",
       "\t41 & Qc3 & Quebec & chilled & 675 & 39.6\\\\\n",
       "\t42 & Qc3 & Quebec & chilled & 1000 & 41.4\\\\\n",
       "\t43 & Mn1 & Mississippi & nonchilled & 95 & 10.6\\\\\n",
       "\t44 & Mn1 & Mississippi & nonchilled & 175 & 19.2\\\\\n",
       "\t45 & Mn1 & Mississippi & nonchilled & 250 & 26.2\\\\\n",
       "\t46 & Mn1 & Mississippi & nonchilled & 350 & 30\\\\\n",
       "\t47 & Mn1 & Mississippi & nonchilled & 500 & 30.9\\\\\n",
       "\t48 & Mn1 & Mississippi & nonchilled & 675 & 32.4\\\\\n",
       "\t49 & Mn1 & Mississippi & nonchilled & 1000 & 35.5\\\\\n",
       "\t50 & Mn2 & Mississippi & nonchilled & 95 & 12\\\\\n",
       "\t51 & Mn2 & Mississippi & nonchilled & 175 & 22\\\\\n",
       "\t52 & Mn2 & Mississippi & nonchilled & 250 & 30.6\\\\\n",
       "\t53 & Mn2 & Mississippi & nonchilled & 350 & 31.8\\\\\n",
       "\t54 & Mn2 & Mississippi & nonchilled & 500 & 32.4\\\\\n",
       "\t55 & Mn2 & Mississippi & nonchilled & 675 & 31.1\\\\\n",
       "\t56 & Mn2 & Mississippi & nonchilled & 1000 & 31.5\\\\\n",
       "\t57 & Mn3 & Mississippi & nonchilled & 95 & 11.3\\\\\n",
       "\t58 & Mn3 & Mississippi & nonchilled & 175 & 19.4\\\\\n",
       "\t59 & Mn3 & Mississippi & nonchilled & 250 & 25.8\\\\\n",
       "\t60 & Mn3 & Mississippi & nonchilled & 350 & 27.9\\\\\n",
       "\t61 & Mn3 & Mississippi & nonchilled & 500 & 28.5\\\\\n",
       "\t62 & Mn3 & Mississippi & nonchilled & 675 & 28.1\\\\\n",
       "\t63 & Mn3 & Mississippi & nonchilled & 1000 & 27.8\\\\\n",
       "\t64 & Mc1 & Mississippi & chilled & 95 & 10.5\\\\\n",
       "\t65 & Mc1 & Mississippi & chilled & 175 & 14.9\\\\\n",
       "\t66 & Mc1 & Mississippi & chilled & 250 & 18.1\\\\\n",
       "\t67 & Mc1 & Mississippi & chilled & 350 & 18.9\\\\\n",
       "\t68 & Mc1 & Mississippi & chilled & 500 & 19.5\\\\\n",
       "\t69 & Mc1 & Mississippi & chilled & 675 & 22.2\\\\\n",
       "\t70 & Mc1 & Mississippi & chilled & 1000 & 21.9\\\\\n",
       "\t71 & Mc2 & Mississippi & chilled & 95 & 7.7\\\\\n",
       "\t72 & Mc2 & Mississippi & chilled & 175 & 11.4\\\\\n",
       "\t73 & Mc2 & Mississippi & chilled & 250 & 12.3\\\\\n",
       "\t74 & Mc2 & Mississippi & chilled & 350 & 13\\\\\n",
       "\t75 & Mc2 & Mississippi & chilled & 500 & 12.5\\\\\n",
       "\t76 & Mc2 & Mississippi & chilled & 675 & 13.7\\\\\n",
       "\t77 & Mc2 & Mississippi & chilled & 1000 & 14.4\\\\\n",
       "\t78 & Mc3 & Mississippi & chilled & 95 & 10.6\\\\\n",
       "\t79 & Mc3 & Mississippi & chilled & 175 & 18\\\\\n",
       "\t80 & Mc3 & Mississippi & chilled & 250 & 17.9\\\\\n",
       "\t81 & Mc3 & Mississippi & chilled & 350 & 17.9\\\\\n",
       "\t82 & Mc3 & Mississippi & chilled & 500 & 17.9\\\\\n",
       "\t83 & Mc3 & Mississippi & chilled & 675 & 18.9\\\\\n",
       "\t84 & Mc3 & Mississippi & chilled & 1000 & 19.9\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/plain": [
       "   Plant        Type  Treatment conc uptake\n",
       "1    Qn1      Quebec nonchilled   95   16.0\n",
       "2    Qn1      Quebec nonchilled  175   30.4\n",
       "3    Qn1      Quebec nonchilled  250   34.8\n",
       "4    Qn1      Quebec nonchilled  350   37.2\n",
       "5    Qn1      Quebec nonchilled  500   35.3\n",
       "6    Qn1      Quebec nonchilled  675   39.2\n",
       "7    Qn1      Quebec nonchilled 1000   39.7\n",
       "8    Qn2      Quebec nonchilled   95   13.6\n",
       "9    Qn2      Quebec nonchilled  175   27.3\n",
       "10   Qn2      Quebec nonchilled  250   37.1\n",
       "11   Qn2      Quebec nonchilled  350   41.8\n",
       "12   Qn2      Quebec nonchilled  500   40.6\n",
       "13   Qn2      Quebec nonchilled  675   41.4\n",
       "14   Qn2      Quebec nonchilled 1000   44.3\n",
       "15   Qn3      Quebec nonchilled   95   16.2\n",
       "16   Qn3      Quebec nonchilled  175   32.4\n",
       "17   Qn3      Quebec nonchilled  250   40.3\n",
       "18   Qn3      Quebec nonchilled  350   42.1\n",
       "19   Qn3      Quebec nonchilled  500   42.9\n",
       "20   Qn3      Quebec nonchilled  675   43.9\n",
       "21   Qn3      Quebec nonchilled 1000   45.5\n",
       "22   Qc1      Quebec    chilled   95   14.2\n",
       "23   Qc1      Quebec    chilled  175   24.1\n",
       "24   Qc1      Quebec    chilled  250   30.3\n",
       "25   Qc1      Quebec    chilled  350   34.6\n",
       "26   Qc1      Quebec    chilled  500   32.5\n",
       "27   Qc1      Quebec    chilled  675   35.4\n",
       "28   Qc1      Quebec    chilled 1000   38.7\n",
       "29   Qc2      Quebec    chilled   95    9.3\n",
       "30   Qc2      Quebec    chilled  175   27.3\n",
       "31   Qc2      Quebec    chilled  250   35.0\n",
       "32   Qc2      Quebec    chilled  350   38.8\n",
       "33   Qc2      Quebec    chilled  500   38.6\n",
       "34   Qc2      Quebec    chilled  675   37.5\n",
       "35   Qc2      Quebec    chilled 1000   42.4\n",
       "36   Qc3      Quebec    chilled   95   15.1\n",
       "37   Qc3      Quebec    chilled  175   21.0\n",
       "38   Qc3      Quebec    chilled  250   38.1\n",
       "39   Qc3      Quebec    chilled  350   34.0\n",
       "40   Qc3      Quebec    chilled  500   38.9\n",
       "41   Qc3      Quebec    chilled  675   39.6\n",
       "42   Qc3      Quebec    chilled 1000   41.4\n",
       "43   Mn1 Mississippi nonchilled   95   10.6\n",
       "44   Mn1 Mississippi nonchilled  175   19.2\n",
       "45   Mn1 Mississippi nonchilled  250   26.2\n",
       "46   Mn1 Mississippi nonchilled  350   30.0\n",
       "47   Mn1 Mississippi nonchilled  500   30.9\n",
       "48   Mn1 Mississippi nonchilled  675   32.4\n",
       "49   Mn1 Mississippi nonchilled 1000   35.5\n",
       "50   Mn2 Mississippi nonchilled   95   12.0\n",
       "51   Mn2 Mississippi nonchilled  175   22.0\n",
       "52   Mn2 Mississippi nonchilled  250   30.6\n",
       "53   Mn2 Mississippi nonchilled  350   31.8\n",
       "54   Mn2 Mississippi nonchilled  500   32.4\n",
       "55   Mn2 Mississippi nonchilled  675   31.1\n",
       "56   Mn2 Mississippi nonchilled 1000   31.5\n",
       "57   Mn3 Mississippi nonchilled   95   11.3\n",
       "58   Mn3 Mississippi nonchilled  175   19.4\n",
       "59   Mn3 Mississippi nonchilled  250   25.8\n",
       "60   Mn3 Mississippi nonchilled  350   27.9\n",
       "61   Mn3 Mississippi nonchilled  500   28.5\n",
       "62   Mn3 Mississippi nonchilled  675   28.1\n",
       "63   Mn3 Mississippi nonchilled 1000   27.8\n",
       "64   Mc1 Mississippi    chilled   95   10.5\n",
       "65   Mc1 Mississippi    chilled  175   14.9\n",
       "66   Mc1 Mississippi    chilled  250   18.1\n",
       "67   Mc1 Mississippi    chilled  350   18.9\n",
       "68   Mc1 Mississippi    chilled  500   19.5\n",
       "69   Mc1 Mississippi    chilled  675   22.2\n",
       "70   Mc1 Mississippi    chilled 1000   21.9\n",
       "71   Mc2 Mississippi    chilled   95    7.7\n",
       "72   Mc2 Mississippi    chilled  175   11.4\n",
       "73   Mc2 Mississippi    chilled  250   12.3\n",
       "74   Mc2 Mississippi    chilled  350   13.0\n",
       "75   Mc2 Mississippi    chilled  500   12.5\n",
       "76   Mc2 Mississippi    chilled  675   13.7\n",
       "77   Mc2 Mississippi    chilled 1000   14.4\n",
       "78   Mc3 Mississippi    chilled   95   10.6\n",
       "79   Mc3 Mississippi    chilled  175   18.0\n",
       "80   Mc3 Mississippi    chilled  250   17.9\n",
       "81   Mc3 Mississippi    chilled  350   17.9\n",
       "82   Mc3 Mississippi    chilled  500   17.9\n",
       "83   Mc3 Mississippi    chilled  675   18.9\n",
       "84   Mc3 Mississippi    chilled 1000   19.9"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "CO2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "     Plant             Type         Treatment       conc          uptake     \n",
       " Qn1    : 7   Quebec     :42   nonchilled:42   Min.   :  95   Min.   : 7.70  \n",
       " Qn2    : 7   Mississippi:42   chilled   :42   1st Qu.: 175   1st Qu.:17.90  \n",
       " Qn3    : 7                                    Median : 350   Median :28.30  \n",
       " Qc1    : 7                                    Mean   : 435   Mean   :27.21  \n",
       " Qc3    : 7                                    3rd Qu.: 675   3rd Qu.:37.12  \n",
       " Qc2    : 7                                    Max.   :1000   Max.   :45.50  \n",
       " (Other):42                                                                  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "summary(CO2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "ggplot only accepts `data.frame`s."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Building a ggplot\n",
    "\n",
    "ggplot plots are contructed layer by layer. The `ggplot` function can initiate the basic plotting object, i.e. `p`. Before I will show how this layer structure works, we will first look into how individual layers are built.\n",
    "\n",
    "We first assign data to be plotted."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "p <- ggplot(data = CO2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/svg+xml": {
       "isolated": true
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We get this empty canvas when we call the plot object `p` without instructions on how we want the data to be represented.\n",
    "\n",
    "In order to achieve this we need to choose:\n",
    "* a `geom`etry\n",
    "* a `mapping`\n",
    "\n",
    "The `geom`etry is the type of plot that we want, e.g. histogram, boxplot, scatterplot, lineplot etc. and the `mapping` which indicates what data variable we want to map to a given `aesthetic`."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Mappings and aesthetics\n",
    "\n",
    "To illustrate aesthetics lets first pick a simple `geom`etry, i.e. a scatterplot (`geom_point`). `geom_point`'s aesthetics include:\n",
    "\n",
    "* ‘*x*’\n",
    "* ‘*y*’\n",
    "* ‘alpha’\n",
    "* ‘colour’\n",
    "* ‘fill’\n",
    "* ‘shape’\n",
    "* ‘size’\n",
    "* ‘stroke’\n",
    "\n",
    "So to each of these aesthetics we can map a variable of the CO2 data. Note, the aesthetics marked with a star are required, i.e. here we need to set `x` and `y`.\n",
    "\n",
    "To start with we can map the concentration to `x` and the uptake to `y`. Note the function to specify a set of aesthetics is `aes()` and it is passed to `mapping` within a geometry (or when setting up the plot)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "mapping: x = conc, y = uptake \n",
       "geom_point: na.rm = FALSE\n",
       "stat_identity: na.rm = FALSE\n",
       "position_identity "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geom_point(mapping = aes(x = conc, y = uptake))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This does not produce a plot yet, as you may have noticed that as of yet it would not know where the data comes from.\n",
    "\n",
    "This brings us back to the topic of building ggplots layer by layer; we add a layer `geom_point` to the ggplot object hosting the data `p` using the `+` operator."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/svg+xml": {
       "isolated": true
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p + geom_point(mapping = aes(x = conc, y = uptake))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "ggplot takes care to pick the scales, gridlines, set axis labels etc.\n",
    "\n",
    "We also need to note that the variables mapped to aesthetics can be continuous or discrete. Depending on this, mappings might more or less sense, but that will often depend on the plot.\n",
    "\n",
    "It is now very straightforward to map more variable to the `geom_point`'s. For example we might want to map the `Treatment` variable to the `color` of the points."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/svg+xml": {
       "isolated": true
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p + geom_point(mapping = aes(x = conc, y = uptake, color = Treatment))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Again ggplot takes care to place an appropriate legend.\n",
    "\n",
    "Here is an other example for mapping a different variable to the color aesthetic."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/svg+xml": {
       "isolated": true
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p + geom_point(mapping = aes(x = conc, y = uptake, color = Type))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Geometries\n",
    "\n",
    "ggplot has a range of geometries that can be used to plot the data to which has been mapped to aesthetics:\n",
    "\n",
    "* geom_abline\n",
    "* geom_blank\n",
    "* geom_crossbar\n",
    "* geom_density2d\n",
    "* geom_freqpoly\n",
    "* geom_jitter\n",
    "* geom_map\n",
    "* geom_polygon\n",
    "* geom_rect\n",
    "* geom_smooth\n",
    "* geom_tile\n",
    "* geom_area\n",
    "* geom_boxplot\n",
    "* geom_curve\n",
    "* geom_dotplot\n",
    "* geom_hex\n",
    "* geom_label\n",
    "* geom_path\n",
    "* geom_qq\n",
    "* geom_ribbon\n",
    "* geom_spoke\n",
    "* geom_violin\n",
    "* geom_bar\n",
    "* geom_contour\n",
    "* geom_density\n",
    "* geom_errorbar\n",
    "* geom_histogram\n",
    "* geom_line\n",
    "* geom_point\n",
    "* geom_quantile\n",
    "* geom_rug\n",
    "* geom_step\n",
    "* geom_vline\n",
    "* geom_bin2d\n",
    "* geom_count\n",
    "* geom_density_2d\n",
    "* geom_errorbarh\n",
    "* geom_hline\n",
    "* geom_linerange\n",
    "* geom_pointrange\n",
    "* geom_raster\n",
    "* geom_segment\n",
    "* geom_text\n",
    "\n",
    "They might have different aesthetics. Furthermore geometries can take other parameters such as position etc. in order to further customise the visualisation but I will not dicuss them now."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/svg+xml": {
       "isolated": true
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p + geom_histogram(mapping = aes(x = uptake, fill = Type))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/svg+xml": {
       "isolated": true
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p + geom_boxplot(mapping = aes(x = Treatment, y = uptake, fill = Type))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can add different `geom`etries to one plot in a layer by layer fashion."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/svg+xml": {
       "isolated": true
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p +\n",
    "geom_boxplot(mapping = aes(x = Treatment, y = uptake, color = Type), fill = NA) +\n",
    "geom_jitter(mapping = aes(x = Treatment, y = uptake, color = Type))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In order not to respecify the `mapping` for every `geom`etry we can specify it immediately in the ggplot object."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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AAAEEEEAAAQSSBQiQkj14hgACCCCAAAIIIIAAAi4WIEBycefTdAQQQAABBBBAAAEEEEgWIEBK9uAZAggggAACCCCAAAIIuFiAAMnFnU/TEUAAAQQQQAABBBBAIFmAACnZg2cIIIAAAggggAACCCDgYgECJBd3Pk1HIKMCoTrxrF4tRuX2jJ6WkyGAAAIIIIAAArkU8OXyYlwLAQQcKBCLSeCtNyQw7T8i6rGhmhgZNFhqzzpHzA7lDmwwTUIAAQQQQAABJwswguTk3qVtCORAIPD2mxL44H0x6oMjfUnvsqVS/PCDVsCUgypwCQQQQAABBBBAIGMCBEgZo+RECLhQIBy2Ro6MaDSp8TpY8mzeJL55c5O28wQBBBBAAAEEELC7AAGS3XuI+iFgYwEdBDUOjhLVNQzxrFuXeMoDBBBAAAEEEECgEAQIkAqhl6gjAjYViJV1ELOFupkdOrSwl10IIIAAAggggID9BAiQ7Ncn1AiBwhEoLZXo8BFiepJ/lVhBk9oWHj2mcNpCTRFAAAEEEEAAASWQ/FcNJAgggECaAjWnnyWxHj1VkOQV0+ezviQYlJoLLxEpKUnzbByOAAIIIIAAAgjkV4A03/n15+oIFL6AGkWqvuqn4l24QDxr16jU3h0kMnK0SHFx4beNFiCAAAIIIICA6wQIkFzX5TQYgSwIqOl0eqqd/qIggAACCCCAAAKFLECAVMi9R90RQAABBBDIoYCxZbNK7f++eL9dLjG1EHR43AESHaVGjCkIIICAgwQIkBzUmTQFAQQQQACBbAl4Vq2UkgfvE1HrnllrnakL+b6ZJ6HDjpDQ0cdk67KcFwEEEMi5AEkack7OBRFAAAEEECg8gaJnnxFRi0Pr4EgXQ3+ZpgTef088a1Zb2/gfAggg4AQBAiQn9CJtQAABBBBAIIsCRmWleNevs4KiJpfxesU3/5smm9mAAAIIFKoAAVKh9hz1RgABBBDIiYCxaaP4Zs0QY/PmnFzPlheJRZuvll74TE27oyCAAAJOESBAckpP0g4EEEAAgawI+FQK++Jnnhbv0iVZOX8hnNSs6CixiorUVVXBU3TwkNT72IoAAggUoAABUgF2GlVGAAEEEEAg1wK1p5wupmGIHjCKF1NNr4vsOVaiA/eIb+I7AgggUPACZLEr+C60fwO8KstR8M0p4tmwQcySEglPOFhChx8hotbOoSCAAAIIFIZAdNhwqf7xlRJ86w3xrF6lfp+Xqt/nB0n4oIMLowHUEgEEEGilAAFSK6E4rG0CvplfipX5SGU6sjIebd8ugX+/ZWU8qj3nvLadlFchgAACCORFINZ/gNT84Ed5uTYXRQABBHIlwEf4uZJ243VUKtiiV1620sDq4CheDHUzr+/r2eJZsTy+ie8IIIAAAggggAACCNhCgADJFt3gzEp4Nm4Qqa1J3Tg1b927bGnqfWxFAAEEEEAAAQQQQCBPAgRIeYJ3w2VNnz/1mhm68epGX1H7KQgggAACCCCAAAII2EmAe5Ds1BsOq4vZubNEu3YTj1pDRK+2nlQiEYmMGJm0yclPvEsWS/Bf/xTP2jViFhVJeL/9JTTpaBE/QaKT+522IYAAAggggEDhCTCCVHh9VlA1rj3rXCsI0KlgdbFSxKrRo7rjTxQdQLmheBfMl+JHHhTPqpWi77/y7NghgQ+nS/GjDyuQRoGjG0BoIwIIIIAAAgggYGMBRpBs3DlOqFqsTx/Zcf0vxP/Rh+JVAUJMLTYYHjdeYgMGOqF5rWpD0csvNhlB04GSd8UK8c2dI5HRY1p1Hg5CAAEEEEAAAQQQyL4AAVL2jfN7BZUkofRPfxSjsjK/9ai/uh5H8n/+acbqUnbD9Rk7V7ZO1DCDX9I11OrzRX97ImlTVVGxyDWqTc2tWJ90NE8QQAABBBBAAAEEMi1AgJRpUZudz6isEo8KjmJqgVazS1eb1c4F1VGpzq2pdc001SwvF1ONquniUWtEybatYqh7tgiQmgFjMwIIIIAAAgggkGUBAqQsA9vl9FGVEKH29LPsUh1X1aP44QfEu3SpmmYXS263uher5oKLJdanr7W9bNp/RKa8nnwMzxBAAAEEEEAAAQRyKkCShpxyczE3CtSeerqYJcXSOFFF6DvfTQRHbnShzQgg0EqBUEg869aKoRK8UBBAAAEEsi/ACFL2jZ1/hZoa8c+aIZ7NmyWmMtOFx+4jUqzupaFYAmbnLrLjul9I4JOPxLt8mcTKyiSy7/4SHTwEIQQQQKB5ATVFN/DmVAl8ME0Mdc+iznkZGT5i52yA0tLmX8ceBBBAAIF2CRAgtYuPF+v7a0pUCmtR6xqJ+sdcPB4JvjFFqn94GaMjDd8e6h4wPWJEQQABBForEJj6Lwl8NN0KjvRrdMIX38IFUqKWCKi+6qc7F9xu7ck4DgEEEECg1QJMsWs1FQc2EVCpqouffEyktlYMFSAZKkDS3/Vza7vaT0EAAQQQaINAXa1aL+0Da+20hq/Wv2f1gtPeRQsbbuYxAggggEAGBQiQMojptlPp6WJGVZX1qWbDtutPOfV2vZ+CAAIIIJC+gGejymapR+VTFY/XCpJS7WIbAggggED7BQiQ2m/o2jMY1dXWlLqUAGqqnbU/5U42IoAAAgi0JGCWdWjy4dOu400xO3TY9ZRHCCCAAAIZFSBAyiinu04W7dV7571HqZqtptpFe6v9FAQQQACBtAVMtVh0ZI9BYqoPmxoWnahBfD6JjBjVcDOPEUAAAQQyKJD8mzeDJ+ZUzhcwu3SR8L77JdJXx1us01mHVZY2nb2NggACCCDQNoHas86VWJeu1u9YUwVF+kuCQam58BKRoqK2nZRXIYAAAgjsVoAsdrsl4oCWBOpOUWv8lJZJ4OMPrQQN+h/w0IEHS+joY1p6GfsQQAABBHYjYJaXS/U114tv3lzxrF8nMfU8MnqMCo5YRmE3dOxGAAEE2iVAgNQuPl4sarQodOzxVkBk7KiygiW9jYIAAgggkAEBNcXOCop0YERBAAEEEMiJAAFSTphdcBEVFJnlFS5oKE1EAAEEEEAAAQQQcLIA9yA5uXdpGwIIIIAAAggggAACCKQlQICUFhcHI4AAAggggAACCCCAgJMFCJCc3Lu0DQEEEEAAAQQQQAABBNISIEBKi4uDEUAAAQQQQAABBBBAwMkCBEhO7l3ahgACCCCAAAIIIIAAAmkJECClxcXBCGRHwLt4kcisGdbJPZ/9V4yqyuxciLMigAACCCCAAAIItChAmu8WediJQPYFAv9+WwLvvCVimtbFPLNmSum8eVJ9+VUS6949+xXgCggggAACCCCAAAIJAUaQEhQ8QCD3Ap61ayTw9ptiqODIqL+8EYuJ1NVK0XPP5L5CXBEBBBBAAAEEEHC5AAGSy98AND+/Ar65c0V8TQdydcDkXfmtSHV1fivI1RFAAAEEEEAAAZcJECC5rMNprs0EIuHE1LpUNTP0fgoCCCCAAAIIIIBAzgQIkHJGzYUQaCoQ3WNQswFSrLxczPKKpi9iCwIIIIAAAggggEDWBJrO7cnapTgxAgg0FogOHSbRIUNFZ7EzolFrt5WqwTCk9qRTGx+et+fGhvXi/+Jz8WzdKrGePSU07gCR0tK81YcLI4AAAggggAAC2RIgQMqWLOdFoJUCNRdcLIF335HA9Gli1NWJ2a271E4+WaKDh7TyDNk9zDd7phQ987SIx2MFcaa6Zyrwn3el+rIrVLDUK7sX5+wIIIAAAggggECOBZhil2NwLodAEwGvV0KTvidy5CRrV/SkU2wTHOn1mIqefWZnlr36ES4jElFZ9uqk6Km/NmkKGxBAAAEEEEAAgUIXIEAq9B6k/ghkUcA7/xsRNd2vcdFZ9jwbN4ihvigIIIAAAggggICTBGwZIG3cuFEee+wxidZ/Yh0H18+/+OIL+dvf/iafffZZfDPfEUAgSwJGbV3KAMm6nAqcrP1ZujanRQABBBBAAAEE8iFguwDJVJ9M33HHHfL4448nBUg6OLrsssvkpptuklWrVsktt9wi//u//5sPM66JgGsEov37i+gpdamKmhoY69Ej1R62IYAAAggggAACBStguyQNL7zwgszVi2c2Ks8995xUVVXJs88+q5Jnlcry5cvlvPPOk2OPPVaGDx/e6GieIoBAJgRi/fpLZNRo8X0zL5FlT5/XVAkb6o4+VsTvz8RlOAcCCCCAAAIIIGAbAVuNIC1dulSefPJJ+fGPf9wEaPr06TJp0iQrONI7BwwYIGPGjJG33367ybFsQACBzAnUnn2ehA45VMxg0DppTK3NVHvyaRI+ZGLmLsKZEEAAAQQQQAABmwjYZgQpHA7L7373O7n00kulT58+TXjWrFkjvXv3Ttqun69fvz5pm37y5Zdfyo4dOxLbKyoqUp4zcYCDHxj1n/B71Cf+gUDAwS0t/KbpPtJrIHnV1DXb9dWJJ0lIfal5r7qCoj9Z4d1U+O85WtA6AY9Kba+LT333OOT3qFGffIV/G1r3HuAoBBBwl4BtAqRHHnlEunfvLieccIKViKFhN0TUPRA6cUN5eXnDzdbzBQsWJG3TT26++WaZP39+Yvv48eOtxA6JDS56EAuHpFq1N6g+/a/o0sVFLS+8poZUMBtS1S4pKREffVV4HUiNHSsQVtO6VboSKSsrE7/Dfjb1hzFdHNYmx74RaRgCCORMwBYBkh7xmTp1qjW9LlXL9Sfq+lMuHSg1LPq5vh+pcTnrrLOsgCq+vW/fvlJZWRl/6q7vVTtEJ2kOhyMSdqtBgfS4t/79XafWGKqhrwqk16imKwRUNkf9e7S2tkZqHfKzqUeQdMCn/x2tqalxRTfSyMIV6NChQ+FWnpoXpIAtAqSHHnrI+tT8D3/4g4W4bds26/uNN94oxx9/vEycOFE6d+7cJMjZvn279OzZswm8DpAaFz1Fz43FqK6WMtXwSCQstSrJBcW+AmVq+pr+IywUCtFX+eomNdU38O474v/yCzFCdRLtP0Dqvn+sxHr2yleNuK4NBPx1tVKk6lGrAqWIQ36P6g8d4wGSToBEQcDOAgRIdu4dZ9bNFkkadCa6Y445RkaNGmV96QQMuowYMcIKjPTjQYMGyZw5c/TDRNHZ7lLdr5Q4gAcIIIBAawViMSl5+AEJTPuPeLZtFUN9qu5dMF9K7rlLPKtWtvYsHIcAAggggAACBS5gixEkfd9Rw6IXg50yZYqce+65iZvVTz31VPntb38rxx13nIwcOVJeeukl65N2HVhREEAAgfYK+GbNFM/qVUnpzA21LpupRvaCr74sNZdf1d5L8HoEEGhBwLt4kXjWrhFTT/0bMVLdPKvH7SgIIIBA7gVsESC1ptkTJkyQM888U6644gq19IrfGjnSU/D0FAEKAggg0F4B7yKV8EVn6WtU9LRH74rlImqESd0M2WgvTxFAoN0CarS25LFHdo7UqnuORX0woVIGSs0FF0t0j0HtPj0nQAABBNIVsGWAtN9++8kHH3zQpC0XX3yxNaqk7z3q2rVrk/1sQAABBNos4FOL3urUx/qPs8ZFB0b1aZEb7+I5Agi0T6Dohed2jt7qDyH0lyqmSh5R/PhfpOqGG3Vqz/ZdgFcjgAACaQoU3MehOiUpwVGavczhCCCwW4HIqNEpgyBTZ9AcNjzlvt2elAMQQKBlAZUZ0Dfnq6SprfoFeuRWB0t+tY+CAAII5Fqg4AKkXANxPQQQcIdAdPgICe+9j+iAKD6GZKrpPmZxidRNPsUdCLQSgRwLGJVVO4OhVNdVP4hGfVbbVLvZhgACCGRLwJZT7LLVWM6LAAIItCRQd/pZEh0+UnwzVJpvdV9EdPAQCR08UdSCay29jH0IINBGAbNjR9EfRBgp7v9TE+0k1r1HG8/MyxBAAIG2CxAgtd2OVyKAgAMFImP3Fv1FQQCBHAiopEuhiYdJ4IP3k4IkayS3okIio8fkoBJcAgEEEEgWIEBK9uAZAoUjoObuBz6YJr5v5qpPYH0S2XMvCR94sJX9qXAaQU0RQMDtAqGjjrYySAamT7ModHr9aN9+UnvOeSqFpMpqR0EAAQRyLECAlGNwLodARgSqq6X0nv8TQ2V0jE9N8arFTP2zZ0n1jy4nSMoIMidBAIGcCKj7/kLHHi+hIyeJZ8N6ax0ks1PnnFyaiyCAAAKpBAiQUqk4cZv6g9qzerUTW+acNm3f1uq2BN9+Myk40i/UgZJe6NT/308kfPAhrT4XByKAAAK2ECgqkli//raoCpVAAAF3CxAguaT//d/ME/1FcYaAb87XiZGjhi3SQZLv69kESA1ReIwAAggggAACCKQhQJrvNLA4FAHbCNQvppiyPi3tS/kCNiKAAAIIIIAAAgjEBQiQ4hJ8R6CABCJqzR6d5alx0elyoyNHNd7McwQQQAABBBBAAIFWCjDFrpVQhX5YZMBACY8/oNCb4ej6F83/RgyVZKE1JfS9o63sdaLW6jHqR4x0cBTr3EVCB6lMdhQEEEAAAXsIRCLimzlDvCtXqIWni1XG0bES693HHnWjFgggkFKAACkli/M2ml26SGS/cc5rmJNatGOHSCsDJLO8Qqp/cp0EVLIG34L5KhWuR8Jj9pLQd74rEgg6SYW2IIAAAoUroH6vlzx4r3g2b7ZSmeu05YH33pW6Y46T8KGHF267qDkCDhcgQHJ4B9M85wqY5eVSd8ppUufcJtIyFwoYW7eI/7NPxbNxg8S6dpPwuAPE7NjRhRI02QkCRa++JJ5Nm9VIf3Rnc1QiHV2CU16X6JChjCTtVOH/CNhOgADJdl1ChRBAAAF3CngXLZTiJx4VUQuF6oyMetpo4P33pObiH0p00GB3otDqwhVQ0599X3+VmAad1BD13vapGQMhptolsfAEAbsINL3L2y41ox4IIIAAAu4RCIel+Om/iqj7NeKLH1vf1fOip560trsHo5mWhurE/9GHEnzhOQm8OUU869Y2cyCbbSEQCacOjnTl1AcARk21LapJJRBAoKkAI0hNTdiCAAIIIJBjAe+ypSKhkBiNrms9r60V7/JlEh08pNFe9zzVUw9L7r9HjB3qj+poRN13qEbX/vOe1J18mpqGON49EGpUxti+XSU7KFLz1NSXnYu6HzTWqbN4tqj7jxoX1X9RFsVtrMJzBGwjQIBkm66gIggggIB7BYw6dTed0Tg8qvfQKe31fheXomefEaOqateIRPxelpeel8jgwWKqDJZOL/7/fizBqf8SQwXMpmpsVC13UHvaGWKWdbBt02uPP1GK//aEGGraaLzoJRpMFThF9t43vonvCCBgMwECJJt1CNVBAAEECllAZ1YMfDQ9/SboPyDVdLqURW0vfu6Z5gOolC/K4EZ1ff3nbdErL4m8/moGT9zKU2kbFRSkDB/VvtL/vVPE72/lyXYdVqX+UPccdbTIAQfu2mjTR/7/fiLBV19OBIjawrtwgcoQd7/suOZ6a0TNjlWPjhotNeddKEX/fEWNJG2x1q+LjB4jdZNPEfHxJ5gd+4w6IaAF+OnkfYAAAgggkDEBPVXOUOtzxbp0VQFNeqfVh5uNAgHrc/eiIjVKUJbeyZx0tBot8iiXZosKjszS0mZ3p9wRU4kwNm8Sc/Ei+wdIalpd8A01clS/5lu8PdZzNX3N99VsNRqzT3yz7b7rIGmH+hJ1D5l41Z9danodBQEE7C1AgGTv/qF2CCCAQEEK7PjJtWpNrkB6dVejIf4P3heduc6j1o+JlZZJ6PAjJHzIofkbPUqvBdk5WgUGZbfeZAWeTS6gRoFqTj9LoiNHNdnV0gZPdbWU3vLblg6xzT5raqEKulMW9Z7xrF4lYuMAKVFv1qhLUPAAAbsLECDZvYeoHwIIIOAWAXUPkl4801pAU48W6HuPKJZD7XEnSNGLzyeNoug06DGVJjo6YqSjlUw9gqjeGw3v40k0WN/Pk+7oWeLFPEAAAQRSC/CvT2oXtiKAAAII5FOA4ChJP7LfOKk94yyJVVRY2011/0p43/2l+gc/cv7omhqJjKgpajq5QZOiAunIXmObbGYDAggg0B4BRpDao8drEUAAAQQQyJFAZOw+or9ErRll3eDfXNa/HNUnl5epVenMSx5+QDwbN+y8rG67Co5qzzjbygiXy7pwLQQQcL4AAZLz+5gWIoAAAgg4SaANGesKvvlqGl311deIb+7X1j1HZkmpRPbcS8yOnQq+aTQAAQTsJ0CAZL8+oUYIIIAAAggg0FhA3XMV2VNNp9NfFAQQQCCLAgRIWcTl1AgggAACCCCAgF7jy//lF+JdvFBMNQIYGbOnSq6RXuZBFBFAIHcCBEi5s+ZKCCCAAAIIIOA2gbpaKXngPvFsWC+i1rQSdf+U/4svVJKNfaXutDPdpkF7ESgIgRQpYQqi3lQSAQQQQAABBBCwvUDwzTes4MhQwZFeDFmnKzfMmPhnfCm+r2fbvv5UEAE3ChAgubHXaTMCCCCAAAII5ETAN2uG6OCoSVFZ+HyzZjbZzAYEEMi/AAFS/vuAGiCAAAIIIICAQwUMnZY9RbFGk2pqUuxhEwII5FuAACnfPcD1EUAAAQQQQMCxAtH+A8RMsWaVqbLyRYcMdWy7aRgChSxAgFTIvUfdEUAAAQQQQMDWAnXHHC/i8SQFSaZ+XlYmoQkH2bruVA4BtwoQILm152k3AggggAACCGRdINa7t1RffpXsHElSgZHPZ6X5rr7ypyJFRVm/PhdAAIH0BUjznb4Zr0AAAQQQQAABBFotEOvTV2p+fGWrj+dABBDIrwAjSPn15+oIIIAAAggggAACCCBgIwECJBt1BlVBAAEEEEAAAQQQQACB/AoQIOXXn6sjgAACCCCAAAIIIICAjQS4B8lGnUFVEEAAAQTsL+D78nMJvvOWGFu27MxEdsihEp54mJWpzP61p4YIIIAAArsTIEDanRD7EUAAAQQQqBfwT/uPBN+YIkYsZm0xKisl+NYb4tm4QepOOR0nBBBAAAEHCDDFzgGdSBMQQAABBHIgUFcnwTenJoKj+BWNaFT8n38mnvXr45v4jgACCCBQwAIESAXceVQdAQQQQCB3At7Vq0RMM/UF1do23uXLUu9jKwIIIIBAQQkQIBVUd1FZBBBAAIF8CZiBYPMBkgqczGAgX1XjuggggAACGRTgHqQMYnIqBBoLGNu2SeDNKeKbP9+6gTsyarTUHXW0SGlp40N5jgACNheI9eolZocOItu3i5GirpEhw1JsZRMCCCCAQKEJMIJUaD2Wg/oamzdJ4P33JDjldfHNnCGi5tdT0hcwtm+Tkj//SfzK0LOjSjyV29V9Cp9K6T13idTWpH9CXoEAAvkV8Hik5pzzRfx+Mb1eqy6m2mYahtSefpZISUl+68fVEUAAAQQyIsAIUkYYnXMS38wvpejZZ0T0P/4qS5Nf/cMf+/fbUvOjy610ts5pafZbEnhbpQGurU26oVvfzC0qUApMe19CeiSJggACBSUQGzBQdlz/C/F/8rF41q4Vs3NnCY8/QGI9ehZUO6gsAggggEDzAgRIzdu4bo+xebMVHBn6JuRIJNF+z6aNEnzxOam94OLENh7sXsC34Juk4Cj+Ch0k+ebPI0CKg/AdgQITMCs6Suh73y+wWlNdBBBAAIHWCjDFrrVSLjjO99WsnSNHjdqq1/vwfTNPJFTXaA9PWxSon4KT6hjTy2cTqVzYhgACCCCAAAII5FuAACnfPWCj6xvV1da0ulRV0qNKeroYpfUC4T3HJu5TaPgqfe9CZK+xDTfxGAEEEEAAAQQQQMAmAgRINukIO1Qj1ruPiLrnKFUxi4vVPUgqexOl1QKh7xwpsS5dkoIkHRxF+/SV8ISDWn0eDkQAAQQQQAABBBDInQDzfHJnbfsrRcbsqRIyvCWejZvUvTO7MtfpLE113z/OSlNt+0bYqYLBIqm+8qfi//hD8c2bq6YveiQyei8JHzAh5VRGO1WduiCAAAIIIIAAAm4VIEBya8+narca3aj50RVWQgb9B72eVqdHjuqOOU7C4w5I9Qq27U4gEJDwYUdYX7s7lP0IIIAAAggggAAC+RcgQMp/H9iqBqZawLT2/ItUQoaQdc+RtShiM9PubFVxKoMAAggggAACCCCAQAYECJAygOjIU6iRD1N9URBAAAEEEEAAAQQQcJMASRrc1Nu0FQEEEEAAAQQQQAABBFoUIEBqkYedCCCAAAIIIIAAAggg4CYBAiQ39TZtRQABBBBAAAEEEEAAgRYFCJBa5GEnAggggAACCCCAAAIIuEmAAMlNvU1bEUAAAQQQQAABBBBAoEUBAqQWediJAAIIIIAAAggggAACbhIgQHJTb9NWBBBAAAEEEEAAAQQQaFGAAKlFHnYigAACCCCAAAIIIICAmwQIkNzU27QVAQQQQAABBBBAAAEEWhQgQGqRh50IIIAAAggggAACCCDgJgECJDf1Nm1FAAEEEEAAAQQQQACBFgUIkFrkYScCCCCAAAIIIIAAAgi4SYAAyU29TVsRQAABBBBAAAEEEECgRQECpBZ52IkAAggggAACCCCAAAJuEiBAclNv01YEEEAAAQQQQAABBBBoUYAAqUUediKAAAIIIIAAAggggICbBAiQ3NTbtBUBBBBAAAEEEEAAAQRaFCBAapGHnQgggAACCCCAAAIIIOAmAQIkN/U2bUUAAQQQQAABBBBAAIEWBQiQWuRhJwIIIIAAAggggAACCLhJgADJTb1NWxFAAAEEEEAAAQQQQKBFAV+Le9mJQI4EltfWybtbt0lVNCpjSkvksIpy8RhGjq7OZRBAAAEEEEAAAQQQ2ClAgMQ7Ie8CL2zYKLevWCUBFRBF62szrLhIHh42WEq93rzXjwoggAACThUw6+pEQuorEHRqE2kXAgggkLYAU+zSJuMFmRRYVFNjBUemOmmdaUqk/mtBTa3c+e3qTF6KcyGAAAIIaAE1Uu9/a+pOi/nfSNlNN0rw+X+oQCmEDwIIIICAEiBA4m2QW4FIRDxr14ixebN13ambt4o3xUw6HShN3bxFTPWdUrgCuh/Xh8JSqf4goyCAgD0Egq+8JP7PPk1UxlA/p/6ZM6To6b8mtvEAAQQQcLMAU+zc3Ps5brv/k48kOOV161NKHRNFe/SULUcfr0aNUlckpP7R1qNKRdyLlBqoALbqe8tOnTtfJnfpLDcN7FcANaaKCDhbwNi+XQVH/5XGn0sZ6kMM34L54lm9SmK9+zgbgdYhgAACuxFgBGk3QOzOjIBvxpcSfO0VMdQUjvg/zJ7162Tsfz+y7j1KdZWeAb8UeXiLprJhGwIIINAWAc+6tSLN3dvp84lnzZq2nJbXIIAAAo4S4K9PR3WnfRsTfHOKGLFYUgX1tI6TlyySztGINE7FoN+Y1/btnXQ8TxBAAAEE2idglpaJNPpdnDij2m6Wqf0UBBBAwOUCBEgufwPkpPlq6oZn69aUlypR2ZOeWbZQ9u+w6x/ljj6v3LpHf5nUqWPK17ARAQQQQKBtArFevSTWtZuYjaYu65nOZlGxRAcPaduJeRUCCCDgIAHuQXJQZ9q2KWo6hxkMiqHTyTYqpppC172sVB5UKb31GkjV0Zh08/vEaPSPd6OX8RQBBBBAoC0C6ndrzfkXSclD94tRVWmdwVRT60R91Vx0ifW9LaflNQgggICTBBhBclJv2rgtoQMOFDPVvHc1zS6y7/5WzcvU/u7qviOCIxt3JFVDAIGCFzC7dZOaq366sx3de0jdiSdJ1Q2/llhfEqkUfOfSAAQQyIgAI0gZYeQkuxMIHXW06KQMvvnz1Q3COi5XqRpiUak97UyJqWx2FAQQQMBtAt7Fi6zMnnrpAz3KHt5vnOjfleL3Z5+i/hpGz54SHndA9q/HFRBAAIECEiBAKqDOKuiqqukbtRdeIp7ly8SrvqSoSCIjRolZXl7QzaLyCCCQWiDwzlvNZ0tL/RJXbTU2bRL/7JlWm3VmT6O6WgLTp1nbwvvspzbE831mh8UIh7NzYs6KAAIIOEDANQGST8+xdmExVMIDXQzDo6aY28BA3QBs1t8E3DhznQu7J6nJ8amFHo9hj75Kql3bnvjqp1UaDmpT2yTc86r4+zg47T/uaXSGWqozexrbtknwP+9m6IytO40t/m1oXVU5CgEEEMiJgA3+Ys5JO6VDhw65uZDNrmJW75CoqpNfJT4ocqlBrrvE1NNlvl0hUtZBjKHDxGhlYKrv0dJ9FQwWSdAhfVWqAnNd/Go6j1t/Bi0AF/0vqt7vzaz97CKFwmmqDmj52Syc/qKmCCCQGwHXBEhbtmzJjajNrmJs2y46gXZILdBa61KDnHVJJCJFzz0jvtmzdt5DoNcUKS6Wmgsulli//rutRpl6vZ5UU1NT45i+2lZTa7U7VBcSt/4M7rbjHXZAsZq65Zp/WBzQd6YateJn0wEd6fAm9FLp6SkI5FKAf8dyqc21HC0QnPK6+OZ8bQU5Ep/fX1UlJX95SKp+8WuRkhJHt5/GIdBQoPLGm0UCgYabeNxAoPjxR9T9mMubLKCtR9+qf3ylxHpld6FsT021lN7x+wY14iECCCCAQFyAACkuwXcE2iOgRn/8//1YDLWWU8OiR4RMtc0/a4aEDzy44S4eI+BsAR0cESA128c6g2fJffeI1NZYvzfiC7eGjpwksQEDm31dszt27JDAfz8Rz6qVVvIbnREv1rdvs4eL+p1FQQABBBBILUCAlNqFrQikJWCoP04aB0eJE6ipdh6mNyY4eIAAAuqDk85dZMd1P1dBzcdWZs9YWZlEVPa6aH0Sm3SMPOvXS8kDKthSU6n17yG9ALf/k4+k7oST1AczB6VzKo5FAAEEEFACBEi8DRDIgICp/rjRq9EbqT6VVX+sxLp0zcBVOAUCCDhKQE27DR1xZLubVPSPp9RIVK3oLHi6GOpDGV2Cr70skeHDrWDM2sD/EEAAAQRaJbAzxVSrDuUgBBBoVkBloAsdPFF0JrqGxZo24w9IeOzeDTfzGAEEEMiIgFG5XbyrVyeCo6STen3imzs3aRNPEEAAAQR2L0CAtHsjjkCgVQKho46W8L77WymO9WiSDo7Mio5Sfell1sK4rToJByGAAALpCKgMkc0Xta5SqK753exBAAEEEEgpwBS7lCxsRKANAmr0qO6U0yT03UniWbNazJJSdZN0PxE1xY6CAAIIZEPA7NzZWk7AUMsDNClqql20LQkfmpyIDQgggIC7BPjLzV39TWtzIKBHjaIjRkms/wCCoxx4cwkEXC2gPoCpVckY4lnw4hbWwtNDhrYp6UP8HHxHAAEE3CrACJJbe552I4AAAgg4QiCyz75Sq1KqB6b+SzybNopZVCzh8QdIaNL3HNE+GoEAAgjkWoAAKdfiXA8BBBBAAIEMC0RGjxH9RUEAAQQQaL8AU+zab8gZEEAAAQQQQAABBBBAwCECBEgO6UiagQACCCCAAAIIIIAAAu0XIEBqvyFnQAABBBBAAAEEEEAAAYcIcA+SQzqSZiCAAAIIIFBIAsa2beJdvkz0unHRQYPUenHFhVR96ooAAg4WIEBycOfSNAQQQAABBOwoEHhzqgT+866IV/8ZYoqohbVrTztDInvtbcfqUicEEHCZAFPsXNbhNBcBBBBAAIF8Cvg+/1QC778nhmmKEQmrr4gY4bAUPfO0eFavymfVuDYCCCBgCRAg8UZAAAEEEEAAgZwJWMFRLNb0emoUyf/xh023swUBBBDIsQABUo7BuRwCCCCAAAJuFvCoe49SFUMFTZ6NG1PtYhsCCCCQUwECpJxyczEEEEAAAQTcLRDr1CklgOnxSKx7j5T72IgAAgjkUoAAKZfaXAsBBBBAAAGXC4S+M0l0MJSqhA8+JNVmtiGAAAI5FUj9GyqnVeBiCCCAAAIIIOAWgcjYvaXu6GNUkOQV06u+VLBkqhTfNedfxAiSW94EtBMBmwuQ5tvmHUT1EEAAAQQQcJpA+NDDJbz/ePGu/FZEr4PUf4D13WntpD0IIFCYAgRIhdlv1BoBBBBAAIHCFigpkeiw4YXdBmqPAAKOFGCKnSO7lUYhgAACCCCAAAIIIIBAWwQIkNqixmsQQAABBBBAAAEEEEDAkQIESI7sVhqFAAIIIIAAAggggAACbREgQGqLGq9BAAEEEEAAAQQQQAABRwoQIDmyW2kUAggggAACCCCAAAIItEWAAKktarwGAQQQQAABBBBAAAEEHClAgOTIbqVRCCCAAAIIIIAAAggg0BYBAqS2qPEaBBBAAAEEEEAAAQQQcKQAAZIju5VGIYAAAggggAACCCCAQFsECJDaosZrEEAAAQQQQAABBBBAwJECBEiO7FYahQACCCCAAAIIIIAAAm0RIEBqixqvQQABBBBAAAEEEEAAAUcKECA5sltpFAIIIIAAAggggAACCLRFgACpLWq8BgEEEEAAAQQQQAABBBwpQIDkyG6lUQgggAACCCCAAAIIINAWAQKktqjxGgQQQAABBBBAAAEEEHCkAAGSI7uVRiGAAAIIIIAAAggggEBbBAiQ2qLGaxBAAAEEEEAAAQQQQMCRAgRIjuxWGoUAAgggUJAC4bBILFaQVafSCCCAgFMEfE5pCO3IjMC6UEje3bpNtkeiMqq0RA4p7yCGYWTm5Jxll0AkIr7Zs8SzYZ2YHcolstfYXft4hAACrhPwzp0jRf98VTxbNovp9Upkz72k9oSTREpKXGdBgxFAAIF8CxAg5bsHbHT9qZu3yG+WrhCfCohMVS/9GebIkmJ5YOggKVX/YFMyI2Bs3SIlD94vRmWlOqGSVt7BKf8S2WffzFyAs2RNIGqaMq+6RurUJ/z6Z6OEn4usWbvpxL45X0vRU0+Kod5fuhjRqPoAZbaUrF4t1T+5VoT3mZveDrQVAQRsIECAZINOsEMVVtTWyY0qONJBkf4jMF70H4N/+HaV3DKwf3wT39spUPz038TYvk2MRtNozC8/b+eZeXk2BT6vrJJfLFkuW9Xonx5T9ajA9qd9esnZPbpl87Kc2wUCwX++kgiO4s01YlHxbNoovlkzJbLvfvHNfEcAAQQQyIEA9yDlALkQLvHGli3iVX/wNS4RFSxN3bxV9HdK+wWMrVvF++2KJsGRdWaM2w+cpTOsqquTKxYukc0qOLI+RFDXCav++t+Vq+UNNfJKQaDNArU14lG/F1IWNZLkXbki5S42IoAAAghkT4ARpOzZ2urM+lPIsnlzm61T5ei9JTJwsDXdq/FBOjjy3H6rlEXUzcOU9gmoUSMdajYNRdXGRiNK7bsQr86kwD/Wb7QCo8bnjKoND61eJ0d37tR4F88RaJ2APyCm+nAqPr0u6UVqap1ZVJy0iScIIIAAAtkXIEDKvnFer2B27CiRPQaJp3J7i/UYXlcjfvUHeijFXPfOoTrpEFT/iKsvuxRDjXiJ+nTV7NrVLlVqXT1UsGmo0YjmitGjp5i9eje3m+15ElhUU9vsKOoqldiEgkCbBdTv3MjI0eL7Zm7TkWX1O04na6AggAACCORWgAApt965v5rfLzU/uny31z1SBUf3fv2NbFQpZvWn4vGiUzNcNXSw7DhwfHyTLb6X3PX/1Pz8zbLj+htsUZ90KhF46w0JvP+edSN2/HU6a5X0HyClN98qdZs3i7QQRMVfw/fcCfQrCspn6h6khj8b8at39fNrNG7B97YJ1J18ingfWCOiMohKNLIzKYMKjuqOPV5ifGDSNlRehQACCLRDgH/Z24HnpJcWezzyxIgh8muVqOHLqh1W00rVtp/07SWTu3ZxUlPz3pbQpO+J+PwSeO8dMVRAqqfXRMbsKb5zL8h73ahAaoFT1M/Aixs2NdnpU3MlzyNJQxMXNqQnYJZ1kB0/vV78M74Uj7rnyFSpvSN77S2x3n3SOxFHI4AAAghkRIAAKSOMzjhJz0BAHh0+RLaoG9Er1TpIvdWUOp3ym5JhAWUa+s6REjrscJXqe7v1x5AEglJWzL0GGZbO2OmGq5Tet+3RX25a9q11Tp3dpk5NlzxVBU5ndiuwaZ4ZU+FEGRVQo/3h8QeI6C8KAggggEBeBQiQ8spvz4t38vlEf1GyLKBvwO7Izf1ZVs7Y6XUihgPVwsn/3V4ltWZM9i4tlf5q6h0FAQQQQAABBJwlwF/BzupPWoMAAlkUqFAfHBzVuWMWr8CpEUAAAQQQQCDfAqyDlO8e4PoIIIAAAggggAACCCBgGwFGkGzTFfaqyD9VhrgH1foua1QK487qU/NzuneVC3p2Fw/3JNmro6gNAggggAACCCCAQEYFCJAyyumMk/117Xq5e9WaRErjTSppw/1r1snyupDcPLCfMxpJKxBAAAEEEEAAAQQQSCHAFLsUKG7eVK3W3rh39dpEcBS3iKiMXa+pUaUlasFMCgIIIIAAAggggAACThUgQHJqz7axXfNraiSmgqFUJaim183esXONpFT72YYAAggggAACCCCAQKELECAVeg9muP56wdjU4ZFY2/V+CgIIIIAAAggggAACThXgr12n9mwb2zVMLVbaVS1YmKrowGmCWgeGggACCCCAAAIIIICAUwUIkJzas21sl85Sd+egAVLkMcRfn7FOZ/LQb5Tf79Ff9Dowbi41sZjoDH8PqPu0Xtm4SarUPVsUBBBAAAEEEEAAAecIuPuvXef0Y0ZbsldZqbw6eqQ8v2GjLFJJGfoGAzK5axcZXFyU0esU2sl0goofLlhsBUWmmnBoqP/+b+UaeWjYIBlRUlJozaG+CCCAAAIIIIAAAikECJBSoLBJpHvAL1f06QVFvYBOXPGTxUtlq0p5HkuomBJWI0hXLVoqU8aMFD/3ZyVkeIAAAggggAACCBSqAFPsCrXnqHdOBeZW18hqtQ7UruBo5+X1fVlbI1H5sorsfjntEC6GAAIIIIAAAghkSYAAKUuwnNZZAlvUyJGv/p6sxi3Tw7B6PwUBBBBAAAEEEECg8AUIkAq/D2lBDgSGqPuvQs2sD1Wntg9V2f8oCCCAAAIIIIAAAoUvQIBU+H1IC3Ig0CsQkOM7d0pk9otfUmf6O7yi3PUJLOIemfgebSYQzcS5OQcCCCCAAAIIILA7AZI07E6I/QjUC/xmYD8p83rkuQ2bRCf31p8uHNelk/y8Xx+MMiDwgnJ9aM1a2RiOSIXXK+f06CqX9OwhOvU8BQEEEEAAAQQQyJUAAVKupLlOwQvo0aKf9+8rV/ftLRvCYWtB3WIy12WkXx9W60o9smadxO/k2qayAz68Zr2sUokxbh7YPyPX4CQIIIAAAggggEBrBJhi1xoljkGggUCRCor6BYNCcNQApR0PK1UWwIcbBEfxU0XUVLvXNm2RZbW18U18RwABBBBAAAEEsi7ACFLWibkAAq0TWKkCgadXrJQdNTUSVSMoTijbVfCjyyyVBv0O1bZUZX0o3CR9evw4/QnO7ep1exTZb5HiMaUlcnyXzvGq8h0BBBBAAAEEHCJAgOSQjqQZhS/w6roN8pdlKwq/ISlasLSuTpZuqEuxp+VNOrz6rHKH9dXykbnf+8bmrQRIuWfniggggAACCGRdgAAp68RcAIHWCcTqs7f9ao/+MlpN4bN7+Zea/vb3DRtF/xLR9w7pdaJ6+P1y04C+UqqSLLS26HZfvXipWkuq6ahZUJ3z3iF7SEka52vtddtz3PVLlkmlQ0b52uPAaxFAAAEEEHCiAAGSE3uVNhW0wAA1nWxUib3XVZpXXS3PqOBIl3hiBX3P0DqVvOLlTZvl9j0GpNUHf1ZB0KULlohO8R1WXzohhg6c/jhogOxf3iGtc+Xi4KC6D40AKRfSXAMBBBBAAIHcCxAg5d6cKyJQ8AJvqelleowoHhzFG6SDpHe2bJPfDzTTSs+9Z2mpvDZmhLy8cZMsramTPsGAnNi1s5UMI35uviOAAAIIIIAAArkQIEDKhTLXQMBhAjoNd+PgKN5EPQKkv/T0uHRKNzU979JePdN5CccigAACCCCAAAIZFyDNd8ZJOSECYqWmfnXjZtEjLdsizYUShSs1pqTEmgaXqgV9AwHRU9AoCCCAAAIIIIBAIQowglSIvUadbSug75u5TaWlflkFR3oEJVZf09+rxAuTOnW0bb3TrdixXTrJE+vWyxq1kGvD8E+HRdf3653u6TgeAQQQQAABBBCwjQAf89qmK6iIEwT+plJ168VNTdWYWhUsheq/bliyXBbXOGfBUz1C9MTwoXJoxwqJ/xLpFfDLnwYPlMPUNgoCCCCAAAIIIFCoAowgFWrPUW9bCjy1foPoRAWNi74b5yWVgOBn/frs3KWOMbZsFvEHxOxgvyxtjeuf6nlnv88KiPT9RqFYLK3U3qnOxzYEEEAAAQQQQMAOAgRIdugF6uAYgc3hhhPOdjVLr/CzUk1H08X31SwJvvLqP/+OAABAAElEQVSSeHbssJ5He/eR2jPPFvH4reeF9j+dkttvs3WKCs2Q+iKAAAIIIICAfQTis2PsUyNqgkABC/RSCQpSFb8aQhqi1jfyzv9Giv7+VCI40sd61qyWkvvvleLqnQFTqtezDQEEEEAAAQQQQCA3AgRIuXHmKi4RuKx3D2t9oMbN9Yghp3XvIsGp/xJpNAXP0M/DIdlz5peNX8ZzBBBAIFlATWf1rF4lnm9XqIXIUo9YJ7+AZwgggAAC6QowxS5dMY5HoAWB47p0Fj3N7t7Va1UcZIqeWtdV3avzx0EDpacaXfJsWK9CpabFUOsK9VAjSdJnYNOdbEEAAQSUgHfRQin6x9Ni1E/PFfU7pXbyKRLZZ198EEAAAQQyKECAlEFMToWAFji/Z3c5pVsXmV9dI8VejwwvLhZP/aKppnpsVFU1gTLV/qoCTdbQpDFsQACBjAt41q+T4sf+IhKL7vqQpa5Oip57RmrKyiQ6dFjGr8kJEUAAAbcKMMXOrT1Pu7MqUKqSFuzboUxGqgVV48GRvmB4/AQxm0lo8M3ovbJaJ06OAAKFK+Cf9r6qvMp+2bgJaqQ68M5bjbfyHAEEEECgHQIESO3A46UIpCsQOnKSRIYMFVOtI2R6fWL61JcaPao75jhZ06dvuqfjeAQQcImAd+1qMdT9R42LDpg869c33sxzBBBAAIF2CNhqit3WrVtl2rRp1r0b48ePl169eiU1Laru05g5c6bMnTtXRowYIePGjUvazxMEbC+gRo9qL/qBeBcvEu+ypWL6/RIZNVrMrt1ENqp1kSgIIIBACoFYp87iWbmy6QiSOtasKE/xCjYhgAACCLRVwDYB0rvvviu333676MCopqZG7r//frnttttk//33t9qmg6PLLrtM1qxZI4cccog899xzcsQRR8i1117b1rbzOgTyJhAdPET0F6XtAjoJxmeVVbKkts5KhHGw+iOxWI3MURBwokB4wkFqDbWvVNOSF6LWo9Hhgw91YpNpEwIIIJA3AVsESOFwWB588EH5wQ9+IGeeeaaFcccdd8gjjzySCJB0QFSlbm5/9tlnpbS0VJYvXy7nnXeeHHvssTJ8+PC8AXJhBBDIvcAWld74ioVLZIFKhKEXqtUTj3RwdN/QQTK6tCT3FeKKCGRZQH+gUnfCiRJ8/TWVzs6782rq5yB80CESHjc+y1fn9AgggIC7BGwRIOnRoSuvvDIRDOku6NSpk3z55a51YaZPny6TJk2ygiO9f8CAATJmzBh5++23CZA0CAUBFwn8eslyWaiCI51GParXkVIlpH6P6KBp6p4jVfbA+j8grT38DwFnCOhgKDJ6T/EuXKDuR4pKZNDgndNzndE8WoEAAgjYRsAWAVJRUZEceujOKQKbNm2STz/9VF5++WW55JJLElB6al3v3r0Tz/UD/Xx9iptTTz75ZFmwYEHiWH2v0mOPPZZ4zoPCF6iuT27Qs2fPwm9MfQsC23em/y5TKXt7dlf3JFFSCqxXU+o+VlPrUpVaFSzNNjxyYpbfF75vFokRiYqT3n+pPNuyrSYYtEb0evToIYZ6TMmwgH5vZ2DWhLl9u1SrqnnUyCvv4wz3EadDAIGCF7BFgNRQ8ZZbbpHZs2dbwc/EiROtXRE1jWDjxo1SXp58I6p+3jAQip9Hjy7p+xPipW/fvmrBcVYcj3s44rvVvaaj+jX+no2pTFW8X5t/l66q3mHdqL7rJ3zXsTqj1yo1spRtP9O6D8RZ779diu17ZMZ29ozuA4ORvPZhZvHVZnTXv4nZ/nnJYjM4tUsE/CqhEQWBXArYLkD685//LDqbnb7/SN9j9OKLL1qBkf6Uq/Evcf1c34/UuPzf//1f401WcocmG9lQsAIl6h93j/o7TAfOTin6XjxdqqurVbtS/fnvlJa2rx1laiqdDoRSCUXUByPd1Xsj2+8LPS1YB7TZvk77pPLz6uJwSPQ/LHo2gAQC+akEV92tgEf9ntH/euoPZHgf75aLA/Is0DircZ6rw+VdIGDLlE8dO3aUSy+9VPQfIR9//LEY6ibszp07S2VlZVKXbFdTBJgakETCEwQcL9BBjUqc1q2LlZyhYWN9KmrqHwzIgeUdGm7mMQIIIIAAAgggkJaALQKkZcuWySmnnCKrV69OVL62ttYKkOLTjgYNGiRz5sxJ7NcP9HpIffr0SdrGEwQQcL7Adf36yOQuna2RpPgvsb3UaPJDwwaLV32gQkEAAQQQQAABBNoqEP/boq2vz8jrBg4cKPqGXp3qe9u2bbJu3TprHaSKigqZMGGCdY1TTz1V3nnnHSso0kGTnnoXCoXkmGOOyUgdOAkCCBSOgE7t/asBfeW9saPliRFDZIrKXPfo8CFqPSTmqRdOL1JTBBBAAAEE7Clgm3uQrrnmGrn55ptl8uTJ1pxonWjhzjvvtNJ9azodKOk1kq644grRN+vpkaMbb7xRdMYvCgIIuFOgQmUz3FN9URBAAAEEEEAAgUwJ2OYvi6FDh8rTTz9tpe32qT949D1HjcvFF18s5557ruh7j7p27dp4N88RQAABBBBAAAEEEEAAgXYJ2CZAireie/fu8YcpvwdUViSCo5Q0bEQAAQQQQAABBBBAAIF2CtjiHqR2toGXI4AAAggggAACCCCAAAIZESBAyggjJ0EAAQQQQAABBBBAAAEnCBAgOaEXaQMCCCCAAAIIIIAAAghkRIAAKSOMnAQBBBBAAAEEEEAAAQScIECA5IRepA0IIIAAAggggAACCCCQEQECpIwwchIEEEAAAQQQQAABBBBwggABkhN6kTYggAACCCCAAAIIIIBARgQIkDLCyEkQQAABBBBAAAEEEEDACQIESE7oRdqAAAIIIIAAAggggAACGREgQMoIIydBAAEEEEAAAQQQQAABJwgQIDmhF2kDAggggAACCCCAAAIIZESAACkjjJwEAQQQQAABBBBAAAEEnCBAgOSEXqQNCCCAAAIIIIAAAgggkBEBAqSMMHISBBBAAAEEEEAAAQQQcIIAAZITepE2IIAAAggggAACCCCAQEYECJAywshJEEAAAQQQQAABBBBAwAkCPic0gjZkX+CLyiqZvaNaSjweOaxjufQMBLJ/Ua6AAAIIIIAAAghkQSAWi8m3337bqjN369ZNSkpKWnUsBzlDgADJGf2YtVaE1S+QaxYvk0+2V4rXMMRQV7rz21XymwH95MSunbN2XU6MAAIIIIAAAghkS2Dbtm0ycODAVp3++eefl1NPPbVVx3KQMwQIkJzRj1lrxX2r18qnavQoqq4QNc3EdX63/FsZWVIsw9QXBQEEEEAAAQQQKCQBPSJ0zz33JFX57rvvlkWLFon+3rDsvffeDZ/y2AUCBEgu6OT2NPHFjZsk3CAwip/Lqx78c9Nmua6kT3wT3xFAAAEEEEAAgYIQCAaDcuWVVybV9cUXX5TFixc32Z50EE9cIUCA5IpublsjYyowqorGUr44orZuCIdT7mMjAggggAACCCDgFIHt27fLn/70J9lnn31k8uTJSc1as2aNPPjgg3LcccfJuHHj5OGHH5aKigo54IAD5LHHHpOFCxfKoYceKieccIL06ZP8oXIkEpHHH39cPv30U6murrbO/8Mf/tB6fdJFeJJzAbLY5Zy8cC7oUfcc9WkmGUNA7RvODYuF05nUFAEEEEAAAQTaJFBeXi4vv/yyXH311WI2mlXzxBNPyK233ipdunSxzv2Xv/xF7rjjDjnooIPkvffek9LSUmv/XnvtJUuXLk1cf8OGDXLggQfKpZdeKtOmTbMCpNtuu03Gjh0rc+fOTRzHg/wIECDlx71grnp1n16ip9M1LPpNU6yy2Z3sgCQNO0fJ9B1WFAQQQAABBBBAILXARRddZGW9e//995MO+Otf/yoTJ06UQYMGJbbPmjVLzjnnHPnggw9EB0wzZsywAqWTTz45EWDdcMMN8vnnn8tLL70k8+fPtwIw/bpQKCSXXXZZ4lw8yI8AAVJ+3Avmqkd17ig3DugrpSogipchxUXy+IghUuEr3BmaOjvf/1PZ+A6e8ZVMnPm1HKa+nl63Pt5EviOAAAIIIIAAAgkBHfD4/X556qmnEts+++wz+eabb+TCCy9MbNMPOnXqJDfffHNiW48ePeSaa66RmTNnWvc4bd261Zpap0eQTjrppMRx/fv3l7PPPtsKrGbPnp3YzoPcCxTuX7i5t3LtFSd37SLHdeksK2rrpNTrkR7NTLsrJKBfLFku01Xq8ngCiu3RqNy1ao1UqnuuLuvds5CaQl0RQAABBBBAIMsC3bt3l2OPPVZeeOEFuffee6WoqEj06JGeQnfaaaclXX306NHW9oYb9RQ7XfRokk4vrqfq6XubTj/99IaHycqVK63nCxYskPhrkg7gSU4ECJBywlz4F/Gpe44GqZEjJ5R56kbI97dtl8bpJyIqi/lf1qyTc3t0kzJv44mFuWv53KodElU3blLsK1CjAunG89DtW1tqhgACCCCQCQE9ze6VV16R119/XU488UT5xz/+IaeccoqUlZUlnb5jx45Jz/WT+EKzev2ljRs3WvuLi4vF02CGjt6oR5H0V4cOHaxj+F9+BAiQ8uPOVfMoMHdHjegkE7WNbrSMV2lRTa3sXVYaf5rz739WU/8o9hco9ehlkykIIIAAAm4ROOaYY0SPJD333HNWAKMDnQsuuKBJ8+OjQA13LF++3Hq67777JkaXhg0bJk8//XTDwySqZrR48/ghbVJlXPxk140lLkag6e4S6KB+8TQePYoL6O16PwUBBBBAAAEEEGgo4FP3Xp977rkydepUK0gaMGCAHHHEEQ0PsR7r+4fmzZuXtF1Px9MjRmPGjLESOvTs2dNKzKCn2TUs+l4nPQIVD6ga7uNx7gQIkHJnzZVsInBgRQfxqhGkxkVv6a8Wjhuch6mEOmnEVtaVatwlPEcAAQQQQMBWAnqaXVVVlTz55JNy/vnni5Hi74mY+jddT8F74403RGemu/zyy63Hjz76qATUfdw62cOdd94pNTU11rpKOjOeTvhw3XXXybPPPmulE9fBFyV/AhmbYrd582brTbBo0SI59dRTrU7Xw5A62qYgYCcBPUL0x0ED5NrFy0QHRSE11U5PudOpy/80eGBOq6rvY3lY3ff02Nr1Vj30xXWAdlnP7lLCSFZSX+ipj39WiTRSjf4Vqeluf9xjQMrAN+kkGXpyy/KVahFl7hPLECenQQABBApGQI8A7b///laK7lTT63RDRo0aJZMmTZLjjz9e9GKwOgX43XffLWeddVainXokSgdLOrvd4Ycfbm3XfzNffPHFcuONNyaO40F+BNodveg/8P7whz+IXtxKR9S66Hzwr776qjzzzDOio+X99tsvP63jqgg0I3BIRbm8NmaEvL5pi6xTaw4MVNloTlCZ+jr4cju97oHVa+XxdRsk0uB+qGUqENDbnhoxNOUnU800yfGb5ysXnSxEB7SNS23MlL5FQdlD9WMuSrHK5rgj1nQUMhfX5hoIIIAAAtkR0Au7tqboQObQQw+VwYMHpzxc77/rrrvk9ttvl7Vr1yatkdTwBTqDnf7Sx2zatEkGDhyYuD+p4XE8zr1Au6fY6Yj4l7/8pRxyyCHy29/+NtGCcePGyZo1a6xVghcvXpzYzgME7CLQU31y84NePeTXA/rJOSpzXa6Doxp1I2bj4Ejb6GVrF1TXyCeVOz9wsItXvutRokb4WgpJ9H4KAggggAAC2RSYPn26fPLJJ3LppZfu9jI6c13DBWSbe4G+HylVavDmjmd79gXa9ReFnmP5m9/8xhoe1DesnXHGGYkaf+c735GvvvrKysShR5EoCCCQLLCiLpQ0ctRwr75HSgdJlF0Ch3YsT6xbtWuriP4lNlRNS3TC+lwN28VjBBBAAAH7CDzyyCPWqNH3vvc9a4pdw7957VNLapIpgXYFSHpkqLKyMmWKQ11BfQ+SDpQWLlyYqfpyHgQcI9Cphfvz9CSyzv52z4B1jJVuSC814nfjgL7WKFJ8IqRfBZJ6zar/UfcfURBAAAEEEMiWgF6bqFqto6gXhX3ttdeavcf+6KOPthaUzVY9OG9uBNr1F1h80as5c+bI2LFjU9ZYv5n69euXch8bEXCzQPeAX/ZR6y3N1gvDNoLQI0iHqfukKMkCJ3XtIqPUlIXXNm2W9aGwjCgpllO6dZGOLQSbyWfgGQIIIIAAAukL6JEj/bW7csstt+zuEPYXgEC7RpD69OkjvXv3lnvvvTeRoKFhm3WErVMXkqShoQqPEdgloEc+egdVyk8VEMV/GHVGvbsGD5Ry/ujfBdXg0XAVFP2sXx+5Uxldou4hIzhqgMNDBBBAAAEEEGi3QLtGkPTV77vvPjnppJOkb9++ctRRR1kVuv/+++Xdd9+V+MjShRdeaG3nfwggkCygR5FeHD1C/rN1m7ygMup9um273DFkkIwvL0s+kGcIIIAAAgggkDEBnYU5HyXVukn5qAfXbFkg/qF1y0e1sHfy5Mny0ksvSadOneT555+3jrznnnus4EjfwDZlyhRrQawWTsEuBFwtoEePJnXqKBM6VlgOZTlONe5qfBqPAAIIIOBKgXigohOO5eJLB2Txa7oSvMAa3e4RJN1ePYJ0wgknyPLly0UvFFtWVibDhg2Trl27Why8KQrsXUF1EXCQgG/2TAm887Z4Nm8Ss7xcQhMPk/CBBzuohTQFAQQQQKAtAiG1DmJNTW4yxupFYeP37relrrwmtwLtCpB04KPvMdIrAHtVJimd671hvne9X9+fVFtbKz/72c9y2zKuhgACrhfwf/iBBF9/TYz6qRTG5s0S/Oer4tm4UeqOP9H1PgC4WMCMWY03V660fkYiI0dJdPAQF4PQdARaJ+D5+1NiLFsi0V/tWvuzda/kqEISaPcUu+OOO04+/PDDJm1esmSJHHHEEXL11VdbAVKTA9iAAAIIZFOgrlaCU15PBEfxSxlqOoX/o+liqFXLKQi4UiASkaInH9/ZdDWyqn8eiv/ykARfesGVHDQagXQEjHVrxVi3Lp2XcGwBCrRrBEnPpRw5cqQcc8wx8vbbb8v48eNFjxrpJA2/+MUvrMDo5z//uVx//fUFSEOVEUCgkAW8q1aJ+oWUugkqQ6B32VKJdOmSej9b2y3g/+xTEe6na7djNk7gmztHPN+uSJxaf2igi//zTyWqpsdHxuyV2McDBBBAwI0C7QqQNNg777xjZa/TC2M9/vjj8uc//1nee+89a12kRx99lBTfbnxX5aDN4QMPEaM2N/OGc9AcLpEFAdPvbz5A0oGT3k/JvEC9a9E/X8n8uTljdgVUoOT78gsCpOwqc3YEECgAgXYHSBUVFdbokQ6QdEa7YDAot912m+iRIx/ruBTAW6Awqxg+YEJhVpxa50wg1ruPmGpRWdmxQ4wUV40MGZpiK5vaK1B7wkni3VONQDQzeNfe8+fj9b7Fi8Q/4wsJjRsv0QF75KMKGb1m0asviREONzmn/jkx1OLuFARcJ6B+xj3/frv5D9Uagqgpdrp4Hrq/4dZmH5tj9xZzwkHN7meHPQXaHSDpZpWrzFBvvvmmfP/735f58+dbgRLBkT07nFoh4BoBlTim9uzzpPixR6ypv3oakelRt12q0aPaU88QlU7INRS5bKjZubNE1JeTihEJWwFSdOAgiey3f8E3LTprhngXLWxyf56pfmaiewwq+PbRAATSFfDM+FI8c75O62UeNVW1NcWs3C5RAqTWUNnqmLQDpBtvvFFeeSX11Ilq9cnTRpUd6qCDDrIWjo239PLLLxf9RUEAAQRyKaCzcu249mcS+HC6eNavlVjnrhKecKDo0SUKAm4VqDv6WCm57271YUE0QaA/PDCDRRI+5NDENh4g4DaB6BVXi9mnb8vN1lO09X176gOF3RXvjTc4ajR9d+110v60A6SioiJrnaNUCHr9o+7duzfZpXO/UxBAAIF8CJhdukrdCZPzcWmuiYAtBWJ9+kjtj6+QUpXyPrZiuZgq4ZL+MKH2pFPELC21ZZ2pFAK5EDCLi0Uy+TOgfrZaW5YuXSrvvvuufPTRRzJ8+HA58sgjZZ999hGPnvmQoTJr1izrthiSp+0eNO0ASY8g6S8KAggggAACCBSmQGzAQCm59XapqayUrdu2terT8MJsKbVGIIMCW7eIMW+uiLqHzxys7mNVHzZkotxzzz3Wsjh6eZw999xT3njjDetv7e9+97vy6quvqpxCmUkqNHPmTPnjH/9IdulWdFraAVIrzpl0iJ5yt2HDBisdeNIOniCAAAIIIIBAXgUM/YdXK6YK5bWSXBwBGwgY0z8QzwvP7Vq+QK0nZo6fILEzz1YZG9o+yvP3v/9dfvazn8nrr78uxx57bKKlixYtkgkTJsiFF14oTz2lFqdNYzQqcRIetFmg7T1af8lvv/1Wzj77bBkyZIj06tVLevbsaX1169bNSt6gvz/77LNtriAvRAABBBBAAAEEEEAgbwJLl6jg6FmV2CRmZYDUWSANdS+SodYOM95/r13V0rOyrrjiiqTgSJ9Q/139t7/9TXQA9dVXX1nXuOuuu+S551SQ1qD85je/kX//+9+JLdu3b7dGn3R26fPOOy9pX/yg999/X04//XQ57bTT5Pnnn49vtr635vW6Xvrc559/vrz44osSUcGi00q7A6SLLrpInnnmGamrq7PuTdLfh6mF5vScyUo1dK8z2+lOoCCAAAIIIIAAAgggYDuB+nUVPR+qUaIprzf58j73j5QpwI1oVDxvTm1yfPwcVjIH9Xdxc2XdunWi7z066aSTUh6i70PS0+s++eQTa/+UKVPk448/TjpWB0xff70zA98OtazFfvvtJ1OnTpUTTzzRWm5Hj0rpgCZetmzZImeccYa1XqkexNCBjp7ip0trXn/TTTdZ0wH1oMj+++8vV111ldx3333x0zvme7um2OmsdfqGsh/96EfywAMPWFHoD3/4Qyta1R36q1/9yop0Bw0a5BgwGoIAAggggAACCCDgHAFDBSq6eD7+KO1GGTU1Yqggqbliblf3+DVTPvvsM2vPHnukXl9NJzkbMWKEfP7553LppZc2c5Zdm++++25Zs2aNdbxep/THP/6xNWihp/Cde+651oF6tOeJJ54QPcKkS4la8uJ3v/udlW16d69fu3at3HLLLaJHoA49dGfGy969e8vLL7+8czkNB00DbFeAtGTJEgtED9HpuZH77ruv6KG5efPmyV577SW33367vPTSS/L4449bnWT1BP9DAAEEEEAAAQQQQMAmAmbffmKojI7RU9WMp25NszEbamTJ+Por0evpNSzWethdu0rstDMbbk48thaT7dwl8bzxAz0Ko8s2lSilTzMJH/S+jh07Nn5pyueffvqpdZvLHXfckdi/atUq0SNVK1eutLbpgOjwww9P7J80aZL86U9/kuXLl8vuXq+n+gWDQZk4cWLi9aeeeqroL6eVdgVInTp1sjyKdVpEVXQErKPdGTNmWAGS3qbXRPriiy/0QwoCCCCAAAIIIIAAAvYS8O5c08gcqEZy+vVvUjdTLWHjVdnrTBUgJSXuVoMDsZNPE3PEyCavsTboEZX6c6c6YOzYsaL/htbpt0eNGtXkkK1bt4q+13/06NGJfaZeh6lBCYVCiWd6+pwOgBqmBu/Xr5/88pe/TGzrqgI6vWRPvMSX59G3yOzu9TrQ0vV1Q8KIdt2DpKPdDh06JBaO9ao3gb7/SA+9xcucOXOSOiK+ne8IIIAAAggggAACCNheQI0CRa/8iUinzqLDE+tLjaTEzj5PzNFj2lx9n88nRx11lPz+979XmcPD1nn0SI++R2ju3LlWYKMDmnh2Oz16U1VVlbieni4XHxnSG3ViBx1U6fPpWVz665JLLrGm6en7jXRZsWKFFQhZT9T/3n77bRXDea1Bjt29fvDgwdb5169fH3+5NShywgkniL7txkmlXQGShrj22mvlzjvvFI2ji/7+17/+1erUCy64QPT8ysmTWaTRwuF/CCCAAAIIIIAAAoUnoEaXojffKtFf/UaiP7tBonfcqdJ8H9Dudjz55JPW7KtDDjlEpk2bZt26omdj6fWQHnroIdGZ63SQpIsehNDpwHUKcH1Ly3XXXSdRlSgiPqqkcwLogEnfU6RHg/T9SOecc471Gn3OeLn11lutgEwnfHj00UflBz/4gTWYsbvX61lheqTrsssuE32bjV7GR2fR08GXHrlyUml3gPTrX/9afv7znydS/OkbwXRWi//5n/+xAiWdTaPhXEcn4dEWBBBAAAEEEEAAARcJ9Ogpou5ZamnqXDoaOpmCXhhWB0Q6bXb//v3ltddes7JA60QK+u/seCpuHRANGDBAhg4dKj169LCCHL2YbHzK27hx4+Tpp5+WBx980Fp6Ryd40LO94lnqdL2GDx8uOtmCvq/p4IMPlr333tsa6ND7dvd6PeKl03rraX86WNP10DPJdOIGp5V23YOkMXS2uj/84Q+J6FWDf/jhh9Z9R3o+o17kSoNSEEAAAQQQQAABBBCwq4CxaOH/Z+8+4Nuqzsf/P7Itj3jEcRI729kJEEZSQgIJu2xogbJHKaOFFsqPUmhp2RRo/1BKgRa+lFVGyyr9ljJaSgp8IYxQKJCQQPYedmInjre1/ue5sYxkS7Zsa1xdfc7rpUi649xz3keR9dxz7rlixpB1X7ymRjH3trGG23W/oVnb6XqhaNtrsPPwww9bq3VSBb2nqA570zRv3jxrGJu+1hnjFixYYE26oIFJpF6bM888U/Sh+WjPTmjPkY7s0oem2tpa6xgaoIWm7vbX7TTo0tFhNTU11oQNRUVFobs75nW/Ihft0jvqqKOs2S808g0mbdT99tvPequzY2i3oc6bTkIAAQQQQAABBBBAwFYC7cFI9t/+GvdiBdrzjjXjzrPZaQ+RPkKTBlQ9pc75dN6+rKys86Kw9z3tP3hw9Nn5wjJK0ze9DpBaWlqsqFHrqwGSXty1bNkyiQS9adMmmT9/ftjsG2nqRLGTJLBgZ73Mr6sXr7lb9eySYjloYElH13GSisBhEEAAAQQQQCCDBPyHHCaBkhKxbuzaQ72z5pspv3dsF9/xu66972FzCUye0tMmrLehQK8DJJ1OUK8x0vGLwdTT/OeHHnpocFOeEYgqcP3qdfJq7XZrCk2dIeb5rTVWkPTbieMkR6fKJCGAAAIIIIAAAvEWMLetCRx+RGy5mvshiQmQAkccFdv2bJWWAr0OkEpMhP300093TOV90003yfnnn29dNBYqoBeM6Tzr06dPFx1mR0KgO4FXarbLP0xwFH4LNpEF9Q3yVFW1fGdYz93J3eXPOgQQQAABBBBAAAEEYhHodYCkmeqsdPrQIXYLFy6Uq666KuINrmIpANsgoAJ/r6kVXwQKr/mMvWiCJwKkCDgsQgABBBBAAAEEEIi7QJ8CpGAptJdIp/vTpPOx652A9cawo0aNEp3ee/jw4cFNeUagW4E6c7OzaKnBGyl0irY1yxFAAAEEEEAAgcQI+Gd8TVzD+H2bGF375NqvAClYjbvuukt++tOfWjerCi7T58MOO8yauz3SBA6h2/EagRlmmsiVzS3SOUzSG3XtWeSsm4/R2ggggAACCCCQegE90Z+Vpb80epEOPdzauJd7MeFUL4jtsGm/A6RrrrlG7rjjDjnttNOsh04LuMPMIf/RRx/JPffcI/vvv7988MEHMshcAEdCIJrAd4aVW8Ps/H5/x3VIOi1DtvnyunQEZ2qiubEcAQQQQAABBHovoJeJ6D2CQu8T1Ptc2MOpAv0KkPTD9fjjj4tO1HDDDTeEGen9kU4//XRrqN3LL78s5557bth63iAQKlCe65andpskt6zdIJ80mJuwmTSloECuqxwlEwryQzfldRIE9Nqv+XU7ZW1Lqww3f0AOLC2Rgt6eZUtCOTkEAggggAACfRHQ3iOfz9dl9FNf8oplH+2pysnp18/uWA7DNnES6FdL6f2PdLrvCy64IGJxJk6caA2z03slESBFJGJhiMBYM+vho1MmSlt7L1I+P8hDdJL3crOZyv/iZStlS5tHdAiBTrleZG50d/+k8TJlQEHyCsKREEAAAQQQSKCA11z/3Nzc3Ksj1Jt9Gk1gNSwvr1f7aU8VAVKvyFK6cW+HUIYVtrKy0uqaXLp0adjy0DebN2+W0aNHhy7iNQLdCuSawIjgqFuihK68csVq2dTaJh7Ti9RqHm3msd38QbhsxSrxmOCVhAACCCCAQKYK/HjpCvnGJwsztfoZU+9+BUh6n6Mf//jHcuGFF8qHH34YhqY3lL3llltEe5l0PQkBBOwvsMpMlLHUPDrPG6i9SHVmNkG9LxUJAQQQQACBTBXYaU4Y7mR2Xcc3f7+G2Ok1SNp7pMPsZs2aZd0LaezYsdLU1CRLliyR6upq0RnsTjrppDDIl156ScaMGRO2jDcIIJB6gW0ej+SYcdnae9Q5ZZtZM3Q9CQEEEEAAAQQQcLJAvwIkhVm/fr3stddeHUZbt261XuvwO31ESnphHAkBBOwnoNeBRQqOtKRt/gATZtivySgRAggggAACCMRZoF8BkgY6nYfWxbl8ZIcAAkkU0NkEjy8bJK9t3xEWKGmv0p6FA8yjMIml4VAIIIAAAggkXuDlrdvkjtVrxdd18ESXgwdvbD9nwcdd1kVa8M3yIfKTcZE7DCJtzzJ7CPQrQLJHFSgFAgjEU+B6M7W6O8slf9tWa81gp3nPLSmWW8YxLDaezuSFAAIIIGAPgU921ku1mblVTxK6Xd1fnu8xE0np5EWxTCa1sbVVPthRZ49KUopeCRAg9YqLjRFwvoDOInhD5Wj50cgRsrGtVcrduVLm5qvC+S1PDRFAAIHMFrh/9ykyragobgh7vrsgbnmRUXIFug+TeyiLTtIQvNaou+ff/va3PeTEagQQsJtAcU62TB0wgODIbg1DeRBAAAEEHCPw61//Wm6++WZZvXp1xDr97ne/s9bX19dbN7XtbtuIGURYqDfItVM+wSIuWrRI7rjjjuDblD73K0DSkk+ePLnLo6KiQrQh161bJ/vss4/stttuKa0kB0cAAQQQQAABBBBAoD8Cb9dulxuWr5Krzb2QXqiqjsu9Ae+880656aab5NFHH+1StA0bNsjll19urd+5c6cVIN16661Rg6kuGURZoAGSnfIJFlMDJA0Y7ZD6NW5GJ2l4/fXXo9bjF7/4hTz22GOy9957R92GFQgggAACCCCAAAII2Fng58tWyt+qt1rX5upcDv/cViNPbdoiT+21hxRmZ/er6NrZ8Pzzz4v+bg5Nzz77rIwYYYa7b9xoLc7NzRVPHG63Ybd8gnU+66yzRB92SP3uQequEtdff734/X558sknu9uMdQgggAACCCCAAAII2FLgXyYYetEER35TuuBEd3pLjBVNzXLv2vX9LvMpp5wiy5cvl4ULF4bl9cwzz8jpp5/escxrblL73e9+V7788ktr2Y4dO+Taa6+VI4880tru4YcfFr38JZgef/xxOfHEE+XYY4+Vn/3sZ1JbW2utSlQ+OhzwlVdekd/85jdy3HHHyU9/+lP54osvgsWRntYvWLBArrjiio7tU/kioQGSVmz06NHy8cexTYWYSgiOjQACCCCAAAIIIJB5AtVtbValb1u5Rr63+Msuj1vMcl8EFg2S/ry5qsv2wTy8Zv12jzfCnuGLhg0bJgcffLA899xzHStWrlxpBU0a3ASTdjpoEBTsUTrnnHPkzTfftHpdZs6cKVdffbX86le/sjZ/4okn5Ec/+pEceOCBVvD0xhtvyNe//nVrXaLyee211+Q73/mOaM/XGWecIZ9//rkceuihHeXtaf2KFSts06nSryF2wQaL9jx//nz54IMPrAaLtg3LEUAAAQQQQAABBBBIlUBt+7C1T+obel0EDZLeNvcOjJYazfU+sSTtKdKeF702SJP2HmnvT765gXu09N5778kvf/lLKyjRbaZOnWpdp6Sv3333Xdl3333lyiuvFL0kRgOlF198UVrN1OP6PjTFKx/Ns80Em3rsnJwcOffcc2XixIly++23y+9//3vrkD2tDy1XKl/3K0DSbrz999+/S/k1Mm1sbLS61QoKCiygLhuxAAEEEEAAAQQQQACBFAtMNTdB/3hngzw2barsVth1mu8/btwsj2zcFHYDdS2yhhn7lpTIfbtNjliDuQs+kpF5uRHXdV74rW99Sy677DL57LPPrGv3NUDqacKC8847T37wgx9YvS7a0/TNb35T9thjDytr7cE55phjrABF1x1//PHywx/+0ApcNEgJTfHKR/PUXioNjoJJh/+FjiTraX1wv1Q/93uInQZCnR/Nzc1SZOaR12h43rx5zGKX6lbm+AgggAACCCCAAALdChSbH/al5r5/nR8Xjhoug8zynJCeFw2O9P214yu7bB/cX3tqOvfWRCvAkCFD5LDDDrMma1i8eLFUVVXJ4YcfHm1za/ndd99t9QpNmTJF7r33Xpk2bZpcc8011jod2vbpp59aQ910RNfRRx8ts2bNEr1uqXOKVz6a79ixY8OyLysrs+KE4MKe1ge3S/VzvwIkbXSdki/SQy+0evrppyP2MKW60hwfAQQQQAABBBBAAIFYBDRw+ss+e8rhZYPEbX776o/nvYuL5Om995CpRYWxZBHTNtqx8Je//MW6FunUU08N64npnEFTU5M1U7QGPY888ohs2rRJbrrpJmuYXktLi+j1Pjopw2233SaffPKJ/Pe//7UmgdDloSle+QTz1GudQpPOdj1jxoyORT2t79gwxS/6FSCluOwcHgEEEEAAAQQQQACBhAuUmym27zFD6RbNmSWLzeOZvafJNDNaKp7ppJNOklWrVsn9999v9fx0l7dewqLbaY+R9grp6K2tW7fKyJEjreuWdKieXgOks+PpJTFbtmwRnb1uwoQJYdnGK59gpnpcvcWPlkeftRdLh/AFU0/rg9ul+vmrQYKpLkmCjz906NAEH4HsEeifgLuu3sqg0IyFHjpkcP8yY++ECmRnLxeX1yd8rySU2TaZe4uKReehKikplmyH/S3R+6HwObbNR42CpIlArMPmeludQYMGWVN263Tfc+fO7XZ3LYNOm61TaWtQpMHPuHHj5IUXXrD20xvMas+RzhWgPUpZWVlyzz33WBM3hF6DFK98goU95JBDrF6rSy65RHTY4AMPPGANHYx1fXC7VD9nTICkUTUJATsLBG/+ptf0bQ3o3RZIdhXQu5AHTBvxvWLXFopvudwN9aLzSO3cWS9eh/wt0R9LFRUV1oxT27dvjy8YuSEQZ4Hhw4fHOcfI2T1jpuwuz+3+/8OW1jZpMH8DJg4oiJxJyFKd5runpNcahaaXX3459K3MmTMn7N5Gofc50uF1b731ljQ0NFg9NqEnO3T2O73URSdO02nBR40a1XE9lJ4YSUQ+WnCdSU+H0ekx9Sa3nYPJ7tafffbZog87pIwJkOyATRkQQAABBBBAAAEE7CVQlJ1tFegvVbGfTP9XTWx10OuXEp10YjR9REp6MkTvSRpLilc+eizt1eou9bS+u32TsS7xrZaMWnAMBBBAAAEEEEAAAQT6IPD90aNk/9KB4ouhx+f2VWtkZXOLPLLH1JiOpFOIZ0oqLS2V4uLiqNXtaX3UHVOwggApBegcEgEEEEAAAQQQQMAeAvnZWTLbBEixpGCP0JxBpbFsnlHbPPnkk93Wt6f13e6c5JXMYpdkcA6HAAIIIIAAAggggAAC9hUgQLJv21AyBBBAAAEEEEAAARsJ6A1i9UFytgBD7JzdvtQOAQQQQAABBBBAIE4CPxgzStababNJzhYgQHJ2+1I7BBBAAAEEEEAAgQgCOsNbTi9nmTt06JAIOfW8KLt9pryet2QLOwgQINmhFSgDAggggAACCCCAQFIF3G636IOEQGcBrkHqLMJ7BBBAAAEEEEAAAQQQyFgBAqSMbXoqjgACCCCAAAIIIIAAAp0FCJA6i/AeAQQQQAABBBBAAAEEMlaAa5AytumpOAIIIIAAAhki4PNJ1ubNVmX9w4eLcMF8hjQ81USgbwIESH1zYy8EEEAAAQQQSAOB7CWLpeD5Z0SCUzPn5UvLKaeJd9qeaVB6iogAAqkQYIhdKtQ5JgIIIIAAAggkXCBr/TopePKP4mpuFlcgsOvR0iz5f3pCstatTfjxOQACCKSnAAFSerYbpUYAAQQQQACBHgRy33oj6hZ5b8yLuo4VCCCQ2QIESJnd/tQeAQQQQAABxwpkbdls9Rp1rqD2JmVVbem8mPcIIICAJUCAxAcBAQQQQAABBBwpECgdJIEoNfMPLI2yhsUIIJDpAgRImf4JoP4IIIAAAgg4VKBtzoEiLleX2gXMMs9cs46EAAIIRBAgQIqAwiIEEEAAAQQQSH8B3+57SNsRR4sGRAG3e9fDvG47/Agzi91e6V9BaoAAAgkRYJrvhLCSKQIIIIAAAgjYQaDtsMPFM3265KxYYRXHO2GiBMrK7FA0yoAAAjYVIECyacNQLAQQQAABBBCIj0BgUJl4Zu4Xn8zIBQEEHC/AEDvHNzEVRAABBBBAAAEEEEAAgVgFCJBilWI7BBBAAAEEEEAAAQQQcLwAAZLjm5gKIoAAAggggAACCCCAQKwCBEixSrEdAggggAACCCCAAAIIOF6AAMnxTUwFEUAAAQQQQAABBBBAIFYBAqRYpdgOAQQQQAABBBBAAAEEHC9AgOT4JqaCCCCAAAIIIIAAAgggEKsAAVKsUmyHAAIIIIAAAggggAACjhcgQHJ8E1NBBBBAAAEEEEAAAQQQiFWAAClWKbZDAAEEEEAAAQQQQAABxwsQIDm+iakgAggggAACCCCAAAIIxCpAgBSrFNshgAACCCCAAAIIIICA4wUIkBzfxFQQAQQQQAABBBBAAAEEYhUgQIpViu0QQAABBBBAAAEEEEDA8QIESI5vYiqIAAIIIIAAAggggAACsQoQIMUqxXYIIIAAAggggAACCCDgeAECJMc3MRVEAAEEEEAAAQQQQACBWAUIkGKVYjsEEEAAAQQQQAABBBBwvAABkuObmAoigAACCCCAAAIIIIBArAIESLFKsR0CCCCAAAIIIIAAAgg4XoAAyfFNTAURQAABBBBAAAEEEEAgVgECpFil2A4BBBBAAAEEEEAAAQQcL0CA5PgmpoIIIIAAAggggAACCCAQqwABUqxSbIcAAggggAACCCCAAAKOFyBAcnwTU0EEEEAAAQQQQAABBBCIVYAAKVYptkMAAQQQQAABBBBAAAHHC+Q4voZUEAEEEEAAARsKbGptk8erqmVxY5OUu91y8tDBMndgiQ1LSpEQQACBzBIgQMqs9qa2CCCAAAI2ENCg6MKlK8QnAfEGRBZLs7xVt1O+O7xCvj9imA1KSBEQQACBzBVgiF3mtj01RwABBBBIkcC1q9dJW2BXcBQsgomT5KHNVbKyuSW4iGcEEEAAgRQIECClAJ1DIoAAAghkrkBVW5usbW01fUddU67LJfNNTxIJAQQQQCB1AgyxS509R+6FwN+21chTVVul2uOVyvw8udgMQ2Gsfi8A2RQBBGwj4DU9R9GSrulufbT9WL5L4LvLVsh/6xtlwYy9JMcEmyQEEECgLwL0IPVFjX2SKnD3+k1y69oNsrKlVep9PvncjN3/fytWy9+31Sa1HBwMAQQSL7DR9Ky8VFMr/6zdLrXmhIgT04jcXBnijnx+UoOj/UqKnFjtpNTJbyJMvzlS9BA0KcXgIAggkOYCkb+h07xSFN85AuvNj6Unq7d2+WOnfwB/uX6DHFVWKnlZzorzt3k8srHVWXVyzidyV004w5+YFr1nw2ZrVrc8c+Zff+DqBAY/HzNKThoyODEHTFGuLlO/GypHyxXmRI/WM/hjPsd0eBw5qFT2LCxMUck4LAIIIICAChAg8TmwtcDH9Q2iP5ZaIgxJ8ZhThV82NcveRc74MaE/mjRda340kewvUJydbf9CplEJXzQ9wk+aKa81WAj9//4L03s8Lj9f9nHI//NgkxxopvN+ZMpE+f3GLbK8uVlKc3LktPLBcsbQIcFNeEYAAQQQSJEAAVKK4DlsbAJuV1bH2dXOe+gPKXd7UNF5XTq+P8bcA2WT1ytNZiih3+9Lxyp0KXO91yfzd9bLKDOkaM+iAV3Wp/OCPQudVZ9Ut4UGR9E+9c9Vb3NcgKTeGvQ9NGVCquk5PgIIIIBAJwECpE4gvLWXwCwzFj/acKaBOdkyZUCBvQrcj9JMGDBA7ttnL6mtrZVWM7TQCUmnK56/ZKnsW1wkN44d7YQqUYcECegELJGSngjRobYkBBBAAAEEkiXAhQ7JkuY4fRIYYu4u/zNzDYIOPgvOR6QDm/Rx+7hKyXZQD1KfgNgJAYcIjMnLjVgT/b8+qcA5J0IiVpKFCCCAAAK2EqAHyVbNQWEiCXzLDD0bX5Anz1bXmMkLWq0fS+dUDDXL8iNtzjIEEEhDge+Zqft/tHKNNQNZ5+Kfbf6/kxBAAAEEEEiWAAFSsqQ5Tr8EphcViT5ICCDgTIGDSgfKtZWj5I51G61htTq0TifCuH3cGJnAyRBnNjq1QgABBGwqQIBk04ahWAgggECmCZxspvM+pmyQmZ2yyUzAkiVTzTWG3Owz0z4F1BcBBBBIvQABUurbgBIggAACCLQLFJj7mtFbzMcBAQQQQCCVAkzSkEp9jo0AAggggAACCCCAAAK2EiBAslVzUBgEEEAAAQQQQAABBBBIpQABUir1OTYCCCCAAAIIIIAAAgjYSoAAyVbNQWEQQAABBBBAAAEEEEAglQIESKnU59gIIIAAAggggAACCCBgKwECJFs1B4VBAAEEEEAAAQQQQACBVAoQIKVSn2MjgAACCCCAAAIIIICArQS4D5KtmoPCIIAAAgggEF3Atb1W3O+/K9mbt4i/rEw8+80W/8iR0XdgDQIIIIBArwUIkHpNxg4IIIAAAggkXyBr7RoZ8NCDIgG/uHw+CZib6ro//EBaTj1dvDP2TX6BOCICCCDgUAGG2Dm0YakWAggggICDBPx+KfjTkyJejxUcac1cZpkrEJD8F54XV0ODgypLVRBAAIHUChAgpdafoyOAAAIIINCjQNaWLeKq3ymuSFu6XJK9fFmkNSxDAAEEEOiDAAFSH9DYBQEEEEAAgaQKmJ4j02cU+ZAmQHJ52iKvYykCCCCAQK8FCJB6TcYOCCCAAAIIJFfAP3yESHZ25IN6veIbOy7yOpYigAACCPRagACp12TsgAACCCCAQJIF3G5pPf4ECbjC/2wHsrLFM3OW+MsrklwgDocAAgg4V4BZ7JzbttQMAQQQQMBBAp7ZB0hgQKHkvv6aZNXWSKCoWNrmHiieuQc5qJZUBQEEEEi9AAFS6tuAEiCAAAIIIBCTgHevvUUfJAQQQACBxAmE99Un7jjkjAACCCCAAAIIIIAAAgjYXoAAyfZNRAERQAABBBBAAAEEEEAgWQIESMmS5jgIIIAAAggggAACCCBgewECJNs3EQVEAAEEEEAAAQQQQACBZAkQICVLmuMggAACCCCAAAIIIICA7QUIkGzfRBQQAQQQQAABBBBAAAEEkiVAgJQsaY6DAAIIIIAAAggggAACthcgQLJ9E1FABBBAAAEEEEAAAQQQSJYAAVKypDkOAggggAACCCCAAAII2F4gx04lbGpqkvfee082bdok06ZNkxkzZoQVz+fzyaeffipLliyRqVOnysyZM8PW8wYBBBBAAAEEEEAAAQQQ6I+AbQKkf/7zn3LnnXfKnnvuKQMGDJBHH31Ujj/+eLnqqqus+mlwdMkll8jmzZtl7ty58txzz8mhhx4qV155ZX/qz74IIIAAAggggAACCCCAQIeALQIkv98vjz/+uBUAnXrqqVbh3n77bbn22mvlxBNPlIkTJ1oBUUNDgzz77LNSWFgoa9eulXPPPVeOO+44mTJlSkeFeIEAAggggAACCCCAAAII9FXAFtcg1dbWWsPljjjiiI56TJ8+3Xqtw+00zZ8/X3S9BkeaKisrrWF4r7/+uvWefxBAAAEEEOgs4A0EZEljk/XwmNckBBBAAAEEehKwRQ/SkCFDugyV+/e//y3Z2dkdvUM6tG7EiBFh9dH31dXVYcv0za9+9SvrOqbgikmTJslFF10UfMszArYUyMnZ9d9RTwIUFBTYsoy9LVRJTqO1S25erpSWlvZ2d7ZHoF8Cr2/dJlcvWSr1Xq+VT5H5P3bHbpPlqPKhvcrXb4Z9a2ilw7+zHPY5drvdjvq/GfweLR04UNxZtjgH3KvPGhsjgIA9BGwRIHWmWLlypTz44INy9tlnS0VFhXjNH7dt27ZJSUlJ2Kb6ftmyZWHL9I1O9LB06dKO5du3b5cf/vCHHe95gYCdBfLy8uxcvF6VLc/rs7bPMSc7nBL09QqAjVMm8MmOOrlk4WLxh5Rgp/lb8oNFS+SlObPla4NiD9g9JohoNfnk5uaK2yEnL4IseiLSSf83s9qDIq0TAVKwlXlGAIHeCtguQFq4cKFcc801cthhh8mFF15o1Ue/wPVLTwOl0KTvg0PuQpc/9thjYdvqGbKqqqrQTXiNgO0E9LNcVFQkGtC3tbXZrnx9KVBNc7O1W3NzC/8H+wLIPn0WuGP5KqvXp3MG2hP0/32+RO6bPKHzqqjvc3bWi5622LmzTrwO+VvicrmkvLxcWlpapK6uLmrd021F8LuzqqraBEiudCs+5Y0ioCfLSQgkU8BWAZJeZ3TjjTfKaaedJhdffHGHg36Rl5WVSX19fccyfbFz504ZNmxY2DJ9M3jw4C7LdIgeCQE7CwTar4/QZ524xAnJ7991zYeT6uSEdsmEOqwwwXmkK450ma7rzf+xQGDX/0f9PPdmPzs7B3tatIxOqVOot9+0md9PgBRqwmsEEIhdwDYDdN9880254YYb5PLLLw8LjoJVGT9+vCxevDj41nrW+yGNHDkybBlvEEAAAQQQGGaGw0VL3a2Ltg/LEUAAAQQyR8AWAVJNTY01scIhhxwiY8eOlc8++6zjoTPcaTrllFNk3rx51k1i9Wz0Cy+8YA1DOvbYYzOntagpAggggEBMAmeVD5FIf+B02dm9nKQhpgOyEQIIIICAYwRsMcTuH//4hzQ1NYlO2d152m69HknvdTR79mw544wz5NJLLxW9pkh7jq677jrrmg3HtAYVQQABBBCIi8AhpQPlByOGyf2btkiuuRZFR7DqNN8XD6+QwwYNjMsxyAQBBBBAwJkCtgiQzjnnHNFHT+mCCy6wttNrj3RqcBICCCCAQOYKNPl88siWavlX7Q5pM8HP7JIiKyiqaB9ed6EJho4pGyQftl+/ul9xsYwwU86TEEAAAQQQ6E7AFgFSdwXsvE6nWSU46qySPu//UbtdHjM/aDabWdpGmLa8cFiFHFkW+3S76VNTSooAAokUaDUTmZz35QpZ29pq9QzpsV413y9v7dgpz+w+WYa3B0kaEJ2Y13XinkSWjbwRQAABBNJbINIQ7fSuEaW3rcAjm6vk+tXrZLmZ8rnB55dl5vlnq9fK4yZgIiGAAAK9EfjL1pqw4Ej39ZphdI2mV+meDcxa2htLtkUAAQQQCBcgQAr34F2CBGo9HutagF23Df3qIDp57n0bN8uOTve4+moLXiGAAAJdBd6p29nRcxS6Vr9j3jf3LSIhgAACCCDQVwECpL7KsV+vBD5rbJIccz+rSCnLLF9k1pMQQACBWAWyo3yf6P7cHzRWRbZDAAEEEIgkkHbXIEWqBMuSL/C5CWgeNkPmlpsbLpabWQXPMFPqHmUuho6WNDiKdNPG4PbRgqfgep4RQACBUIHDzCx1H9Y3mGF14d8sOeY8zCEDmaUu1IrXCCCAAAK9EyBA6p0XWxsBHdpyxYrVVsCjP002tXlkobm2SK8p+uHI4RGNZhQVZHn2MgAAQABJREFUSrb54eIJ/y1jbes2wdM+Zj0JAQQQiFXgm0PKrEkZFpqTNcEgSb9LynJyon4PxZo32yGAAAIIZLYAQ+wyu/17XXu/OVt745p1otcOhcY6+l5np1vb0hIxz8LsbLll7Bjrxo3BD1222VJf/8IsL8gKLo24OwsRQACBMAHtdf6fyRPkylHDZZ/CAbLbgAI5r2KoPL/7FClzc+4vDIs3CCCAAAK9EuCvSK+42HiVCYC2eztPtbDLJdf8YPlgZ4NU5udHhDpiUKmM3i1Xnq7eJmtaWmVcfp6cae5oP8X8sCEhgAACvRXQHiP9DtEHCQEEEEAAgXgJECDFSzJD8nFJ5IkWtPq6xvxe6TZNHTBAbjY9RiQEEEAAAQQQQAABBOwoQIBkx1axcZm010fH+NdGmJa7Ve9kb+5UT0IAAQQQQKA7gU2tbfL3mlrR50rzd+VEc03ZYDPhDwkBBBCwgwABkh1aIY3KoFNy3zJ2tPy/9kka9NojTXoF0YXDK2SM+UNHQgABBBBIX4GAOdn1nLkR75+rt0qNxytjzff690cMkzkDS+JSKb1Plf4N0eQxx9Lh2Y+Ya1j/YK4pm2auJyMhgAACqRbgyvhUt0AaHl//SD612yQ51EyzOyYvV/YtKpI7xlfKD8wfUBICCCCAQHoL3LZug/x6/UZZZ3p3Gv1+WdzULJebgOaVmu39rliTzydXr1xjBUYaHGlqM8/N5jhXrlwtvvZl/T4QGSCAAAL9EKAHqR94mbyrXkv06wljM5mAuiOAAAJpLdBmgpI6j0d2hgyZXm0m4vnrttqwWUq1kjpa4HYTOO1fUhT1pt+xYLxbV28FRJG21d6qj+rrzYyEfe9FCk75rnXSSTycktxmpldme3VKa1KPdBAgQEqHVqKMCCCAAAIIxFGg1QRH0+e9KTXmPnaxpiazz+ELl8S6ea+30yDskuW7ht71eudOO3w9geXsdKikvNXhPo9OmSh7c8/ApHhzEAQIkPgMIIAAAgggkGECjWaomwZHOjHC1IKvbs1Q1dYmq8xtGILXl3ZmmW6uERpg7mvX19Ts88t/Gxuj7r6fCQC0t4T0lcDm9jbZZJ73Fm6q/pUMrxBInAABUuJsyRkBBBBAAAFbC+xjrin9deWojjJqgHTsoi863oe+qDDB1COmF8PVz6FrN5mbjb9Su0OCw+H0GDlmNNx5FeVy2cjhoYfktRF42kyWccf6TVgggEASBThNk0RsDoUAAggggICdBSpyc+Uno0fsuq9de0H1TKrONPfL8WP6HRxpltdXjpaLhpVLcfaunyClOdlyxcgRBEft3jwhgEDqBehBSn0bUAIEEEAAAQRsI3B6+VCZPKBAnq+uER3eNcW8PrtiqIzOi89tHLJNsHWxmfVUHzpRRC5D6mzT9hQEAQR2CRAg8UlAAAEEEEAAgTCB6eb2DfpIdCI4SrQw+SOAQF8EGGLXFzX2QQABBBBAAAEEEEAAAUcKECA5slmpFAIIIIAAAggggAACCPRFgACpL2rsgwACCCCAAAIIIIAAAo4UIEByZLNSKQQQQAABBBBAAAEEEOiLAAFSX9TYBwEEEEAAAQQQQAABBBwpQIDkyGalUggggAACCCCAAAIIINAXAab57osa+yCAAAIIxCzQ4PPJWzvqZKvHK+Pz82TuwBLRe+GQEEAAAQQQsKMAAZIdW4UyIYAAAmkg8GlDo/xtm95M1CO7mZuJnlk+RCpyc8NK/pnZ5rIVq8wNQQOiIZHfPEbm5cofJk+QoW532La8QQABBBBAwA4CDLGzQytQBgQQQCDNBJ6p3ioXLF0hL9Vslw/rG+TP5v1Ji5fKksamjpo0mZ6jH65YLQ0+v7QFAtJqHh7zWN/SKtesWtuxHS8QQAABBBCwkwABkp1ag7IggAACaSCwqbVN7ly/SQKmrNojpMlj3rT4/fKz1V8FPu/U7ZRWs6xz8pkF/zU9S1va2jqviul9ldnv39t3yPs76yPmH1MmbGR7Af3sbPN4xG+CahICCCCQTAGG2CVTm2MhgAACDhDQwMdtriHSHqHQpO/WmeBpQ2urjMrLMz9uvdawutBtgq91uN17dfVW79N6s/3Egnw5p2KoTCooCG7S5TlgjnfXhk2mt2qb5Jrja6BVkJUld46vlFklxV22Z0F6CjSansfb122Q12p3WG1caNr4+yMq5OyK8vSsEKVGAIG0EyBASrsmo8AIIIBAagXaAl17hUJL1GquN9I0wQQ9vk5BVOh2t5ofwZp066VNzfKKGa5398RxcqCZxCFS+pMJjJ7dWmNtHwzO6tuH8f1tj6kywlzbROqdQJ3podHrxOySNAi+dd1GWdPSYgVHWq5G05N094bNstYMzTxucJldipq0cmw0Jx1ICCCQXAECpOR6czQEEEAg7QVmFBVZ1xJFqkhRdpaMNTPVaZpVXCSTzOQNy5ubxRvS2aR/eDTECg2ztDdI03Wr18m8vXYXt+k16Jwe21Jt8gnJKGSD/zWTRVw6cnjIEl7GIvCR6Q38jnnYPenn4/lttdbD7mWlfAggkP4CXf8CpX+dqAECCCCAQAIF9igcIEcOKpWcTlN16x+Un40Z1TGFt8usv3/SeJld/NXwt2yzzf5mOJwO0YuUdHjVYtOb1DnpdSi1Xm/nxdZ7nfhhnRmmR0IAAQQQQCAeAvQgxUORPBBAAIEME7h13BiZbHp0njND3rabwEV7jbQHp/PwuNKcHLnPBEm15nqkGq9HRpppwN/asdO69igSmcZNkXqJssyKwSavmghBkgZblfn5kbJjGQIIIIAAAr0WIEDqNRk7IIAAAgjojV7PH15hPWLRKHPniD40TS8ujDpEL8tM67CHGZYXKZ0/rFx+u3FT2HA93U77ok4aknnXpkQy6u2yaWYY5LeHDu7tbgnbXm8qfLu5BqlzkKy9k6PNNWaZOIzyXTME8kVzfR4JAQSSJ0CAlDxrjoQAAgggYASGm16kC02w86jpgQpee6Qw+iP4p6NHSkG2DsTrms4yN6LdaiYVeKJqqzVEz2+mayjMypY7J4y18uy6B0t6Eqgwsw0eYYZL2imVmZ7Cq819sjTw1UBJh3LqsgfMzYX1s5NpSac6FwKkTGt26ptiAQKkFDcAh0cAAQQyUeAHZjieDot7vKpaqts8MtoM0fue6ZHqPEQv1Eavabpi1Agz3fNQWWxuSFtoAqm9zfVQuREmdAjdj9fpJXBw6UB5adpUec3c66rGDM2cYD4nR5WVSh7tnF4NSWkRSGMBAqQ0bjyKjgACCKSzwHGDB5lpmwf1ugpD3W45xPyIJjlXoML0FH2b+x45t4GpGQI2F9ARDSQEEEAAAQQQQAABBBBAAAEjQIDExwABBBBAAAEEEEAAAQQQaBcgQOKjgAACCCCAAAIIIIAAAgi0CxAg8VFAAAEEEEAAAQQQQAABBNoFCJD4KCCAAAIIIIAAAggggAAC7QIESHwUEEAAAQQQQAABBBBAAIF2AQIkPgoIIIAAAggggAACCCCAQLsAARIfBQQQQAABBBBAAAEEEECgXYAAiY8CAggggAACCCCAAAIIINAuQIDERwEBBBBAAAEEEEAAAQQQaBcgQOKjgAACCCCAAAIIIIAAAgi0CxAg8VFAAAEEEEAAAQQQQAABBNoFCJD4KCCAAAIIIIAAAggggAAC7QIESHwUEEAAAQQQQAABBBBAAIF2AQIkPgoIIIAAAggggAACCCCAQLsAARIfBQQQQAABBBBAAAEEEECgXYAAiY8CAggggAACCCCAAAIIINAuQIDERwEBBBBAAAEEEEAAAQQQaBcgQOKjgAACCCCAAAIIIIAAAgi0CxAg8VFAAAEEEEAAAQQQQAABBNoFCJD4KCCAAAIIIIAAAggggAAC7QIESHwU+ibQ0iLi9/dtX/ZCAAEEEEAAAQQQQMCmAjk2LRfFsqmA+913JG/ev8TV3CwBt1s8s/aX1qOPFclJ3kfJtWOH5CxfKuLziW/8RPGXl9tUi2IhgAACCCCAAAIIpJtA8n7VppsM5e0ikGsCo9w3/i0uv89a5/J4xP3+u+KqrZGWb5/fZftELHDPf1vyXnnpq4DM6xXPAXOl9YRvJuJw5IkAAggggAACCCCQYQIMscuwBu9zdc2Qutw35nUER8F8XKYXJ+eLJZK1cUNwUcKes1eusIIjVyAgGpxZD/NagzT3fxYk7LhkjAACCCCAAAIIIJA5AgRImdPW/appVtWW6Pub4XXZG9ZHXx+nNRoIiQmIOieXuRbKPf+dzot57zCBrOoqcX/wnuR89KG46uocVjuqgwACCCCAAAJ2EWCInV1awu7lyM+PPimDCVoC+QUJr0HW9u3iinIUV/3OKGtY7ASBvBf/aoKj98OGVraecKIZXjnHCdWjDggggAACCCBgIwF6kGzUGHYuir9imASGDJGAK0KI4soS7+QpCS++b/hw6dp/ZDqVzJH9Q4Ym/PgcIDUC7gXvi3vBB9J5aGXeS3+T7NWrUlMojooAAggggAACjhUgQHJs08a/Ys3nfkfE9BQFzJA6DUqs5+xsaT7nXJGCxPcgBQaVRa2Uv7Q06jpWpLeADp/UYZSRktWrFGkFyxBAAAEEEEAAgT4KMMSuj3CZuJv2IjX85Gfi/vgjydpaLYGBpeKZMUMCpYOSwqG9BRH6r6xlOevWSWtSSsFBki2QFWX4pNWjtL022cXheAgggAACCCDgcAECJIc3cNyrZ3qKPHMPjHu2MWXY2k0IZGa1IzlTQIdPZplJQDoHx4GsLPEPH+HMSlMrBBBAAAEEEEiZAEPsUkbPgXsr4Js0WQJmSF/npD+UfePHd17Me4cItB55tEina9+sa9HMsrYDD3JILakGAggggAACCNhFgADJLi1BOXoUaJt7kAQGFIoGRMFkTRphrolqPfrY4CKeHSbgMxOAtJx6hgTy8qxJQqzr34pLpPnC75mJQ5icw2HNTXUQQAABBBBIuQBD7FLeBBQgZoEBA6Tp8iusm8XmLFlipq7zmZ6jidJywjckMHhIzNmwYfoJeGd8TRr22luytpj7ceVki7+8QiQkUE6/GlFiBBBAAAEEELCrAAGSXVuGckUUCJieg5Yzzo64joUOFzA9hf5RoxxeSaqHAAIIIIAAAqkW+GqsUqpLwvERQAABBBBAAAEEEEAAgRQLECCluAE4PAIIIIAAAggggAACCNhHgADJPm1BSRBAAAEEEEAAAQQQQCDFAgRIKW4ADo8AAggggAACCCCAAAL2ESBAsk9bUBIEEEAAAQQQQAABBBBIsQABUoobgMMjgAACCCCAAAIIIICAfQQIkOzTFpQEAQQQQAABBBBAAAEEUizAfZBS3AAcHgEEEEAAAacJZG3aKDlffrnrht4TJ4lv7DinVZH6IICAgwUIkBzcuFQNAQQQQACBZAvkvvqy5L7zfyLZ2SKBgMi/XxfvXntLy+lniWQxcCXZ7cHxEECg9wJ8U/XejD0QQAABBBBAIIJAzueLrODIZQIjl9crLp9P9HXOokXifv+9CHuwCAEEELCfAAGS/dqEEiGAAAIIIJCWAu7/LNjVa9Sp9C6/T9wL3u+0lLcIIICAPQUIkOzZLpQKAQQQQACBtBNw1deLK0qpXU2NUdawGAEEELCXANcg2as9KA0CCCCAAAJpK+AbPUaytmwWl98fVoeAyyX+ESPDlqX7m/d31suDm7bImpZWKc91yznlQ+UbQ8rSvVqUHwEEjEDGBEglJSU0OAK2FnC73Vb5BgwYIHl5ebYua6yFK9KLtE1ymx8P/B+MVY3t7CYQyC+wilRQUCAuh/wt8bS1WXVymcAlnv83A8edIPLfj83sdR6Tv5mgoT3pcXJO+lZcjxXMOxXPf9tSJVcvXyXBMLCu2Se3rNsgG0xgeM3E8XEtUr4JxDTp5y+ebRXXQpIZAg4TyJgAqbW11WFNR3WcJqA/IHJzc8Xj8VgPJ9SvrU1/JOlMvz7h/6ATWjQz65BlJhvQP5Zer0f8Dvlb4jF12pUC8f2/WVwsrh/+P8n+85OmJ2mLdYjAoDLxnnGWBIYNF3Ow9uOm71ObCYKuX7qiIzgK1sRnJqN4eP1GOXnIYKksyA8u7vezt72tvB5vfNuq3yVLXgaFhYXJOxhHQsAIECDxMUDAJgLBHiQNkJwSTLS1n6X2+fyOqZNNPi4UI4kCbhMY6R9Lj/mB6nXAD3ylazMnLTTpLNxx/74prxC54ipxNZieDxNMBEoGWscyB9r1nOb/LmpslJZOQwiDVcozJ7rer62VYSZIilcKBkge8zmMe1vFq5Dkg4DDBDImQHJYu1EdBBBAAAEEbC0QKCq2dfn6WrgcEwR9NXgwPBddrutJCCCQ3gLMYpfe7UfpEUAAAQQQQCCJApPNtUClObuur+x8WK/pkptlhhmSEEAgvQUIkNK7/Sg9AggggAACCCRRINv0EN02rlI0RAqGSdpnpI+rRo+wZrRLYnE4FAIIJECAIXYJQCVLBBBAAAEEEHCuwP4lxfLs7lPkyapqWdbcIiPMBDtnlA+RfYuLnFtpaoZABgkQIGVQY1NVBBBAAAEEEIiPwAQzU91NY8fEJzNyQQABWwkQINmqOSgMAggggAACPQusMzcn/bihQdxmuNcs05sxtP0+aj3vyRYIIIAAAj0JECD1JMR6BBBAAAEEbCRwl7nXzp+qt4lOKa2zpunEANeMGSWnDI3f1NI2qi5FQQABBJIuwCQNSSfngAgggAACCPRN4H+31cjTJjjSwKjFBEat5qF3NLp93Qb5xPQokRBAAAEE+i9AD1L/DckBAQQQQACBpAg8VbXVCogiHezZ6hqZXuTQSQJMIJjz2aeSs/BTcZkbUHsnTRbP7ANE8vIiUbAMAQQQ6JcAAVK/+NgZAQQQQACB5Als9XgjHkx7lDa2tkZcl/YLTXCU/9QTkvPFYhG/35pOO3v1Ksld8L40XnaFyIABaV9FKoAAAvYSYIidvdqD0iCAAAIIIBBVoDI/co+J3o9nkrmBqRNTzsLPrODI1R4caR1dPp+4dtRJ3j9ecWKVqRMCCKRYgAApxQ3A4RFAAAEEEIhV4OLhFRLpD7eZr0HOHTY01mzSarucRZ9ZPUedC+3y+8T9+cLOi3mPAAII9Fsg0vdsvzMlAwQQQAABBJwiEMgvEP9gM0Ncfn7KqzR3YIncOHa0FGRlWYGSiYtkUE62/G7ieBlng/IlAsjl8VjD6iLmbXqSSAgggEC8BbgGKd6i5IcAAggg4CgB7z7TRR92Sd8YXCZHDSqVZc3NkmO6jiaboXXZ2oXk0KQTMmSvWG4NqwutYsDU2Td2fOgiXiOAAAJxEaAHKS6MZIIAAggggEDyBPJMD9KehYWym5mgwMnBkYp69pstgUFlEsjWK612pYDL/HzJyZHW408ILuIZAQQQiJsAAVLcKMkIAQQQQAABBOIukJsrjZdeLp6Zs8RvgsKAmdrbN2WKNP3wR+Ivr4j74cgQAQQQYIgdnwEEEEAAAQQQsLeAGUbYeuLJ1sPeBaV0CCDgBAF6kJzQitQBAQQQQAABBBBAAAEE4iJAD1JcGMkEAQQQQAABBDoLrDATSbxcs12qzEx0U00v0ElDyqTEXDtEQgABBOwswLeUnVuHsiGAAAIIIJCmAn+vqZWb1qwXnVrBax5vuOrksS3V8sepE2WsQ6ckT9OmotgIINBJgACpEwhvbS5g7nnh/vgjydGbA/q84p2ym3hmHyBiLuJNi+T1ivv9dyVn0UJrylrvbrtL29yDbHF/lbTwo5AIIJAWAlva2uQWExwFTGk1ONLUFgiI13yHX7NqrTyz+5RdC/kXAQQQsKEAAZING4UiRREwf1gLHvmDZK9d03E/jOw1a8T9nw+lycxwZIebOEYp+a7FJjga8OD9krVpY0f5s7ZsFvd/P5LGy64QKSrqdndWIoAAAuki8H87dlr3aPKZoCg0+c2bpc0tUt3mkfJcd+gqXiOAAAK2EWCSBts0BQXpScD9nwVhwZFu7zJBU1ZtjeT9+1897Z7y9e4P3g8LjoLld9XVSd48+5c/5YAUAAEE0kag0e+zeo+iFVjXkxBAAAG7ChAg2bVlKFcXgZyFn3X0vISu1CApZ6EZcmfzpMMCtaydk1X+xZ93Xsx7BBBAIG0F9jL3K+rcexSsTKG5ye1ocy8jEgIIIGBXAQIku7YM5eoqYIaoRU3meiTbJ78OLomSulsXZRcWI4AAAnYV2Le4SPYrKRK3yxVWRJ2w4cejR1jD78JW8AYBBBCwkQABko0ag6J0L+CbMlUC2frnNTwFzNlI38TJ4Qtt+M5nJmSIVn6vqRsJAQQQcJLAbyeMk9OHDhHtMdI0wlxzdOu4MWaq78FOqiZ1QQABBwowSYMDG9WpVWqbc6C4P/pQZOfOjqFqGhzpDHatRx9j+2q3HTDXmoFPtteGlT9g7g3SduTRwuXKtm9CCogAAr0QyDXfz9pbpA8dbpfdqTepF1mxKQIIIJBUAQKkpHJzsH4JmPtm6Gxvea/9Q3L0mh1zka9v0mRpPeY4CZQO6lfWSdnZjLlvvOxyyf33PHF/vsgqv3fyVBMcHSWB4pKkFIGDIIAAAqkQIDhKhTrHRACBvgoQIPVVjv1SI2Au/G09+RTrkZoC9POo+aa36LgTrEc/c2J3BBBAAAEEEEAAgQQIcA1SAlDJEgEEEEAAAQQQQAABBNJTgAApPduNUiOAAAIIIIAAAggggEACBBhilwBUskQAAQQQQAABBLoT2NTaJk9UVcvixiYpN5MNnTJ0sOxfUtzdLqxDAIEkCRAgJQmawyCAAAIIIIAAAirwuQmKLlq6QnwSEG9AxNXULG/tqJNLRlTId4cPAwkBBFIswBC7FDcAh0cAAQQQQACBzBK4dvVaaTNTn2twpEmf9FbiD2yqkjUtLbqIhAACKRQgQEohPodGAAEEEEAAgcwS2NzWJuvM8Lr22Cis8rnmXlHz6+rDlvEGAQSSL0CAlHxzjogAAggggAACGSrg8UcKjb7C8JieJRICCKRWgAAptf4cHQEEEEAAAQQySGB0Xq6U5US+BFyDo5nFRRmkQVURsKcAAZI924VSIYAAAggggIADBVxmGN31laNEf4C5QuqXY94cU1Yq0woHhCzlJQIIpEKAACkV6hwTAQQQQAABBDJW4JDSgfLQ5AkyvahQSrKzpdL0Kv1o1Ai5ZeyYjDWh4gjYSSByH6+dSkhZEEAAAQQQQAABhwnMMEPpHpky0WG1ojoIOEOAHiRntCO1QAABBBBAAAEEEEAAgTgI0IMUB0SyQAABBBBAAAEEYhWo9/rk0S1V8k7dTsk21yQdbobcnTusXAqyOG8dqyHbIZBIAQKkROqSNwIIIIAAAgggECJQ5/XKmV8sk20erwSn9F7d0irzdtTJE1MnST5BUogWLxFIjQABUmrcOSoCCCCAAAIpF2gwP9a/bGpKeTkyqQCPb6mWrW0e8YZUWgOl1c0tcu+GTfKNIWUha0SqzLYkBBBIrgABUnK9ORoCCCCAAAIpF9BhXZoWmF6LM82DlHoBDZie3lpjPSKV5q71m2Te9jq5aHi57DaAqcAjGbEMgXgJECDFS5J8EEAAAQQQSBOBgeZGpdfvNllW1zdIa2trmpS652K+aQKIbaZX7FumFyarPQjsea/kbvFKzXZp8vsjHlRvIHv4oIEd6z5vbDI9fM0SMEtqTL3eMsGsPu6ZOE7mDizp2I4XCCAQXwECpPh6khsCCCCAAAJpIXDphPHS0tIi27dvT4vyxlLIlWaY2rYGr/x0zChx2zRA0mkYXthWK14zrC40aXnPKh8iFw6vsBavM9clnbj4Sys4Cm4XDKtuWLNO5u21h22DwGB5eUYgXQWYLiVdW45yI4AAAggggEDaCVw8YphoT1FoAKevR5mbxWqAFEwf1NdLXpQgb7uZBW+VCW5JCCCQGAF6kBLjSq4IIIAAAggggEAXgUEmOHp298ny8Obwab7P12m+s7O7bB9pwa4ryCKtYRkCCMRDgAApHorkgYBNBXxmCMeH5hqDDeYag5G5ubJfSbHkRDkjadMqUCwEEEDAcQKlJki6avRI6xGtcrOKi6W10zC84LalOdkyPj8/+JZnBBCIswABUpxByQ4Buwhsam2THyxfJRvb2kxQJGa8u8iwXLf8z6TxMjIvzy7FpBwIIIAAAhEEKvPz5ALTq/SYmRY8eO2R9hzp4+axY7j+KIIZixCIlwABUrwkyQcBGwkEzFnHy1estnqOfKZcGhxp0qDpMrP8hd2n8Md1Fwn/IoAAArYVuGzkcJkyoED+XLVNqj1tMrmgwEzzXSF7FDLNt20bjYI5QoAAyRHNSCUQCBdYYqaFXW0u4A2edQyu1ffrzcxIOnXsXkWFwcU8I4AAAgjYVOCIQaWiDxICCCRPgFnskmfNkRBImkC1xxM2Q1LogfUapCqznoQAAggggAACCCDQVYAAqasJSxBIe4FKc41RW5SLe3X5WDO2nYQAAggggAACCCDQVYAAqasJSxBIe4HxBfky28xYF3qfDa2Uvp9ZXCSTzDh2EgIIIIAAAggggEBXAQKkriYsQcARAneMr5Q5JkjSpLPYaZpdUiS/njDWes0/CCCAAAIIIIAAAl0FmKShqwlLEHCEQJG54eDdE8dJlZnme6OZvW6EuUv7MHMvJBICCCCAAAIIIIBAdAECpOg2rEHAEQIVJijSBwkBBBBAAAEEEECgZwGG2PVsxBYIIIAAAggggAACCCCQIQIESBnS0FQTAQQQQAABBBBAAAEEehZgiF3PRmyBAAIIIIAAAggkTMBjbr/wUX2DbDX3qBufny/TCgck7FhkjAACPQsQIPVsxBYIIIAAAggggEBCBFY2t8ily1dJjddrzTja5g/I3kWFcs+EcVKck52QY5IpAgh0L8AQu+59WIsAAn0UqDFnQh/bUmXt/daOOvlT1VbRs6QkBBBAAIFdAq1+v1yyfKVUm+9Lr/l+bDHBkd+sWtTYJNetWQsTAgikSIAAKUXwHBYBJwtsMVOLn7JkqbxWu8Oq5g6fT367cbNcumyl+AiSnNz01A0BBHohML9up9R5fdL51JEGS2/X1cs2EziREEAg+QIESMk354gIOF7grvWbpN780feG1FT/4H9izoq+Wrs9ZCkvEUAAgcwV2NLmkWg/xPT+3rqehAACyReI9v8y+SXhiAgg4BiBd3fWiy9CbTRI+r8dOyOsYRECCCCQeQJj8vMiflcGJUaZG3yTEEAg+QIESMk354gIZLRA56EkGY1B5RFAIKMF9i8plhG5buk8FYPb5ZLjywZJaQ5zaWX0B4TKp0yAACll9BwYAecKzCou6vIHX2urf/TnDix2bsWpGQIIINALgRzznfjg5AkyaUCB6JA6/Y7UdHjpQLm2cpT1mn8QQCD5ApyaSL45R0TA8QJXjR4hHzc0SJPP3zF8RP/w72Z+BJwwuMzx9aeCCCCAQKwCw3Jz5endJotO9633QRpnht1VmGUkBBBInQA9SKmz58gIOFZgZF6ePL/7FDnEnAXVVJydJRcPr5CHzJlSPWNKQgABBBAIF5hQkC+zzZA7gqNwF94hkAoBAqRUqHNMBDJAQP/If3/EMKumh5eWyoUmQMrN4isnA5qeKiKAAAIIIJDWAvxaSevmo/AIIIAAAggggAACCCAQTwECpHhqkhcCCCCAAAIIIIAAAgiktQABUlo3H4VHAAEEEEAAAQQQQACBeAoQIMVTk7wQQAABBBBAAAEEEEAgrQWY5jutmy91hfcHArKosUmqzZSklWbGsslm+mYSAggggIB9BD6qb5D7Nm6WFWb66NKcbDllyGD59rByyWYmSfs0EiVBAAFbChAg2bJZ7F2oja2tctmK1bK+pdWasrnNBEtfKyqU30wYJ8XmjzAJAQQQ6IvA8uZm873SJsNy3dY9s1z8kO8Lo7XPmzvq5KqVa8TfnkNTm1/u31wlS5qa5c4JY/ucLzsigAACmSBAgJQJrRzHOnpNMHTJ8lWyqbXN+sPrM+81fWp6k36+eq3cN2l8HI9GVgggkAkCdV6v/Nj8mP9vQ6PkmqDIY75XJpl7wtw7cbyUm2CJ1DuBgPG7be2GjuAouLd+f79hAqdPjfMMc78dEgIIIIBAZAGuQYrswtIoAv8xQza2tHki/uGdv7PerGuLsieLEUAAgcgCP1m1Vj5rbBQ93dJqfsRrr4cOC7vUnIzRH/uk3glsMt/DNSbojJT0Rs069I6EAAIIIBBdgAApug1rIghsND1HOa4IK8wiXa7rSQgEBYabs//3TRwnZ1cMCS7iGYEwgbVmqO6H5ge7t1Mc5DNbrW5pkU9MbwepdwJuV/Q/7fr1nZsV5Uu8d4dhawQQQMCxAtG/RR1bZSrWH4GRebldfsgE89MfOKPMehICQYEB2dkyd2CJTCxgEo+gCc/hAtrbocPqIiW3+SG/kV7pSDTdLtNhiePz8ySSql4zeqD5P0lCAAEEEIguQIAU3YY1EQT2Ky6Skbm50nkqBrf5gXOw+aNbYdaREEAAgVgFRpjvDP3RHil5/AHr+ybSOpZ1L3D7uEopyMrq6PHXYEkfl44YJuPy87vfmbUIIIBAhgsQIGX4B6C31dfpYR+YPN76A6sfnjzzXv/o7msCp1vHjeltdmyPAAIZLlBpejpmmu+PzkN39STMWPNDfh8zQyap9wJTzK0X/rrHFDlz6FCZYQyPHFQqD5hJdC4cXtH7zNgDAQQQyDABZrHLsAaPR3WHmzO+z+0+Wb4w08VWmfsgjTU/cDgjGQ9Z8kAgMwXuHF8pV5pZ7PR6o+AsdhOsWezGSVaU4XeZKdW7WmuP/pWjR/RuJ7ZGAAEEEBACJD4EfRLQ+5PsXjhAdu/T3uyEAAIIfCUwMCdHHpkyUZaaky7rzX3Whpkf9nuYHhDug/SVEa8QQAABBJInYMsA6e2335bi4mKZPn16mITP55NPP/1UlixZIlOnTpWZM2eGrecNAggggED6CuiwMH2QEEAAAQQQSKWA7a5B0gDohhtusIKgUBgNji655BK58cYbZePGjXLLLbfIb37zm9BNeI0AAggggAACCCCAAAII9EvANj1IXnNTuyeffNJ6RBpW8dxzz0lDQ4M8++yzUlhYKGvXrpVzzz1XjjvuOJkyZUq/ENgZAQQQQAABBBBAAAEEEFAB2/Qgvfrqq/LKK6/I7bffLqNHj+7SOvPnz5cjjjjCCo50ZWVlpUybNk1ef/31LtuyAAEEEEAAAQQQQAABBBDoi4BtepDmzJkjxx57rOSYi3Xvv//+LnXZvHmzjBgRPhuPvq+uru6y7Ztvvil1dXUdy4eaaU732GOPjve8QMCOAvrZ15RrLlDPMvcvISGAAAKJEgiO1Mg2N3MucNCNnIPfnQVming336OJ+viQLwKOF7BNgDR48OCo2Dr8btu2bVJSEn73b32/bNmyLvvdfffdsnTp0o7l++23nzV0r2MBLxCwsUBRUZGNS0fREEDASQJut1tKS0sdU6XgiSatEwGSY5qViiCQdAHbBEjd1VzPcOlZIQ2UQpO+1+uROiedzGHHjh0diysqKsJ6lDpW8AIBGwnk5eVJvjnr2djY2OWzbqNiUhQEEHCAgPYg6UlGj7mXXVNTkwNqtKsKwd8JOoqEAMkxzSoDBw50TmWoSVoIpEWApF/kZWVlUl9fH4a6c+dOGTZsWNgyfaND9TonHaJHQsDOAnoSQAOkVnMfGH2QEEAAgUQJ6PeNBkg6Q6yTAiS/32+RNTU3i5ubDCfq45P0fAmQkk6e8QdMmwsdxo8fL4sXLw5rML0f0siRI8OW8QYBBBBAAAEEEEAAAQQQ6KtA2gRIp5xyisybN8+6P1IgEJAXXnhB2traIvYW9RWD/RBAAAEEEEAAAQQQQCCzBdJiiJ020ezZs+WMM86QSy+9VPSiUu05uu6664QL2jP7A0ztEUAAAQQQQAABBBCIp4AtA6QnnngiYh0vuOACOeecc0SvPRoyZEjEbViIAAIIIIAAAggggAACCPRVIG2G2AUrqPeIITgKavCMAAIIIIAAAggggAAC8RRIuwApnpUnLwQQQAABBBBAAAEEEEAgVMCWQ+xCC8hrBBBAAAEEUipg7hOUtWO7+EsHiQwYkNKicPDMEHDVbJPsNWvEXHQt3omT+NxlRrNTSxsJECDZqDEoCgIIIICAjQTM/cjyX3hechZ+2lEoz4x9pfWkb1k/XDsW8gKBeAmYWXrzXnpR3O+/K5JjfqKZ95paTj1dvHtPj9dRyAcBBHoQYIhdD0CsRgABBBDITIGCPz0hOYsXictUP/hwf/aJ5D/7dGaCUOuEC2hg5P7gPXGZwMjl8YjL67Ue+c/8WbI2bUr48TkAAgjsEiBA4pOAAAIIIIBAJ4GsLZsle9lScfl8YWv0fc7nC8VVUxO2nDcIxEMg9+3/E5ff3zUrl0vcC97vupwlCCCQEAECpISwkikCCCCAQDoLZFVVRR9GZ4Y+ZVWb9SQE4izgaqiPmKMGTVm1BOURcViIQAIECJASgEqWCCCAAALpLRAoLhbp1HvUUSOz3FrfsYAXCMRHwD/ITAQSIQWyssVfMSzCGhYhgEAiBAiQEqFKnggggAACaS3gqxwrgZKBEjBDm0KTvvcPGSr+kaNCF/MagbgItH39SAlkhf80s6ZpMB/Dtv3nxOUYZIIAAj0LhP8v7Hl7tkAAAQQQQMD5AtnZ0nzBRRIoKpJAdo4EzLC6gFmmQVPzdy4wszaEB07OB6GGyRDQmepajz1h12fNBEoakOtnsPmC70pg8OBkFIFjIICAEWCabz4GCCCAAAIIRBDwl1dI409+LjlfLBHX9lrrB6p36u67pl+OsD2LEIiHgGfugeKZOVOyN26UgLkPkn/ESBETnJMQQCB5AgRIybPmSAgggAAC6SagN+rca+90KzXlTXeBvHzxjZ+Q7rWg/AikrQBD7NK26Sg4AggggAACCCCAAAIIxFuAACneouSHAAIIIIAAAggggAACaStAgJS2TUfBEUAAAQQQQAABBBBAIN4CBEjxFiU/BBBAAAEEEEAAAQQQSFsBAqS0bToKjgACCCCAAAIIIIAAAvEWIECKtyj5IYAAAggggAACCCCAQNoKECClbdNRcAQQQAABBBBAAAEEEIi3AAFSvEXJDwEEEEAAAQQQQAABBNJWgAApbZuOgiOAAAIIIIAAAggggEC8BQiQ4i1KfggggAACCCCAAAIIIJC2AgRIadt0FBwBBBBAAAEEEEAAAQTiLUCAFG9R8kMAAQQQQAABBBBAAIG0FSBAStumo+AIIIAAAggggAACCCAQbwECpHiLkh8CCCCAAAIIIIAAAgikrQABUto2HQVHAAEEEEAAAQQQQACBeAsQIMVblPwQQAABBBBAAAEEEEAgbQUIkNK26Sg4AggggAACCCCAAAIIxFuAACneouSHAAIIIIAAAggggAACaStAgJS2TUfBEUAAAQQQQAABBBBAIN4CBEjxFiU/BBBAAAEEEEAAAQQQSFsBAqS0bToKjgACCCDgVAFfICBrW1qkus3j1CpSLwQQQMC2Ajm2LRkFQwABBBBAIAMFXq3ZLr9av0HqfX6r9pMK8uWX4yplgnkmIYAAAggkXoAepMQbcwQEEEAAAQRiEnhzR51cv2ZdR3CkO61sbpHvLF0utR5vTHmwEQIIIIBA/wQIkPrnx94IIIAAAgjETeC+jZtlV7/RV1nq+1Z/QP6ybdtXC3mFAAIIIJAwAYbYJYyWjBFAAAEEEOidwNqW1og7eMw1SUsamyOuY+FXAgcNLJHK/Dzh7O9XJrxCAIHeCxAg9d6MPRBAAAEEEEiIQEl2tuzw+brknW2WlOe6uyxnQbjAecPKwxfwDgEEEOiDACdZ+oDGLggggAACCCRC4JShgyXH5eqStQ6z++bgsi7LWYAAAgggEH8BAqT4m5IjAggggAACfRL43ohhsn9JkWiPUZ4JlPShf6ivGT1S9igc0Kc82QkBBBBAoHcCDLHrnRdbI4AAAgggkDABtwmI7p04Xv5b3yCfNjZKQVaWHDxwoIzIy03YMckYAQQQQCBcgAAp3IN3CCCAAAIIpFxgRnGR6IOEAAIIIJB8AYbYJd+cIyKAAAIIIIAAAggggIBNBQiQbNowFAsBBBBAAAEEEEAAAQSSL0CAlHxzjogAAggggAACCCCAAAI2FSBAsmnDUCwEEEAAAQQQQAABBBBIvgABUvLNOSICCCCAAAIIIIAAAgjYVIAAyaYNQ7EQQAABBBBAAAEEEEAg+QIESMk354gIIIAAAggggAACCCBgUwECJJs2DMVCAAEEEEAAAQQQQACB5AsQICXfnCMigAACCCCAAAIIIICATQUIkGzaMBQLAQQQQAABBBBAAAEEki9AgJR8c46IAAIIIIAAAggggAACNhUgQLJpw1AsBBBAAAEEEEAAAQQQSL4AAVLyzTkiAggggAACCCCAAAII2FSAAMmmDUOxEEAAAQQQQAABBBBAIPkCBEjJN+eICCCAAAIIIIAAAgggYFMBAiSbNgzFQgABBBBAAAEEEEAAgeQLECAl35wjIoAAAggggAACCCCAgE0FCJBs2jAUCwEEEEAAAQQQQAABBJIvQICUfHOOiAACCCCAAAIIIIAAAjYVIECyacNQLAQQQAABBBBAAAEEEEi+AAFS8s05IgIIIIAAAggggAACCNhUgADJpg1DsRBAAAEEEEAAAQQQQCD5AgRIyTfniAgggAACCCCAAAIIIGBTAQIkmzYMxUIAAQQQQAABBBBAAIHkCxAgJd+cIyKAAAIIIIAAAggggIBNBQiQbNowFAsBBBBAAAEEEEAAAQSSL0CAlHxzjogAAggggAACCCCAAAI2FSBAsmnDUCwEEEAAAQQQQAABBBBIvgABUvLNOSICCCCAAAIIIIAAAgjYVIAAyaYNQ7EQQAABBBBAAAEEEEAg+QKugEnJPyxHRACBzgIPP/ywPPjgg3LPPffIAQcc0Hk17xFAAIG4CWzfvl2OPPJIOeigg+Suu+6KW75khAACCDhBgB4kJ7QidXCEQEtLi+zcuVO8Xq8j6kMlEEDAvgJ6blS/b5qamuxbSEqGAAIIpEiAAClF8BwWAQQQQAABBBBAAAEE7CdAgGS/NqFECCCAAAIIIIAAAgggkCKBnBQdl8MigEAngSlTpsg3v/lNqaio6LSGtwgggEB8BXJzc63vm9133z2+GZMbAggg4AABJmlwQCNSBQQQQAABBBBAAAEEEIiPAEPs4uNILggggAACCCCAAAIIIOAAAQIkBzQiVUAAAQQQQAABBBBAAIH4CBAgxceRXBDot4BO7/3oo4/K5s2bI+bl8/ms9Zs2bbLW//Of/5QFCxZYr5cuXSrPPPNMxP1iWVhbW2vlzZS/sWixDQL2FHj99dflvffei1q4efPmybvvvmutD/3OaGtrs/7/V1VVRd23pxUvvPCCLFmypKfNWI8AAgikhQABUlo0E4XMBAENgB577LGoAZLf75cnnniiY/1rr70WFiA9++yzfWbSAEmP3dzc3Oc82BEBBFIroAHQ+++/H7UQb7zxhnzwwQfWeg2Qgt8ZGiDp///q6uqo+/a0QgOkxYsX97QZ6xFAAIG0EGAWu7RoJgqJgIjb7Za33noLCgQQQKBPArfffnuf9mMnBBBAINMECJAyrcWpb7cCehZ01KhRsm3bNpk/f77oVLgnnHCC7Lvvvh37LVq0SF588UWpqamRsWPHyhlnnNExNbeeQf3oo49k1qxZ8r//+7/WNrrvqaeeKtnZ2VYeO3bskJdfflk0n3Hjxsmhhx4qOsV3MDU0NMj9998vK1assNafddZZMnjwYNEheHfddZd1vMrKyuDmUZ91CJ4Ot2ltbZUZM2bIt771LcnJ2fVf3uPxyN///nf5z3/+I0OGDJEDDjggaj6sQAABewno/239v+tyuWTu3LnWI/h/OxAIWN8v77zzjhQXF8uxxx5r/f/XGvz1r3+VwsJCOeqoo3qsUHffH7rzhx9+KP/+979Fh+Uef/zxPebHBggggEA6CTDELp1ai7ImXED/6N95553y6quvyte+9jXRYW1XXnmlrF692jq2jt+/9NJLpbGxUQ4++GAryDnvvPMkeF3Q+vXr5fnnn5df/OIXVtC0xx57yIMPPmgNjdMMdAjbVVddJTo8ToMoHdry/e9/v2N/3ea2226zgiFdr8NlfvKTn+hiCf7w2bp1q/W+u3/uuece+d3vfmcFe3vuuaf8+c9/luuvv75jl9/85jfy+OOPi67TYOmWW27pWMcLBBCwr8Ajjzwi+v9bT5roiZXf/va31smYYIn/9a9/WYHL7Nmzpb6+3vq+CX5/6ffbwoULg5tGfe7p+0OH6V1zzTXW/lOnTpVf/vKXsmXLlqj5sQIBBBBINwF6kNKtxShvwgUKCgrkvvvuk6ysLDn55JOtHiTtFdLeHv0xcsQRR3QEGyeeeKLVO/TQQw/JjTfeaJWtrq7O+gEzYcIE6732RunZ3vPPP986s7t9+3ZrQgUdMqdJe4Y0/+BZ3ZNOOkkuueQSa115ebnccMMNVkCmvVmxpHXr1on2hGlApGXVdMghh8iZZ54pn3zyiXVWWXuw9HomrZMmff79739vveYfBBCwp4B+l/zxj3+0vp/22Wcfq5DaA/z2229bJ1B0wdChQ62TPNqjpL1H+tCe7eD/9Z5q1tP3x/Tp0+Xee++Vc8891/pO0/y0F1x7ukkIIICAUwQIkJzSktQjbgJ6VlaDI036rD84tOdHz8bqWdLvfe97YcfS4Wl6ZjaYNJAJBke6TIOc4OxOy5cvl7322su6nii4vfZQadKhcJq01ymYgkPv9IfRiBEjgou7fdaLr7W36csvv5SVK1d2bKuBn64rLS2VsrKysB9M2ltFgNRBxQsEbCmg3x96YmXvvffuKJ8GJ/oIJv3OCA63y8vLs/6f6/dHrKmn7w/tMdqwYYPVwx7MU7+bRo8eHXzLMwIIIJD2AgyxS/smpALxFtBAIjQFgyUNkDRpwBSaNNjQoXjBlJ+fH3xpPev+GrBo0tniOudvrQj5R68RCCa9xkBTcP/g8u6etZx6vZP+kNL9gw+9BmmsuWZK12t5Q/MMXh/VXb6sQwCB1Aro94cGPcHvhUilCf3+CK4P/b8eXBbtuafvD73mSPPTWTdDE98hoRq8RgCBdBegByndW5DyJ02goqLCOjOr9x4KDm/Rg+v7iRMnxlQOPdO6atWqsG31/kXae6STPcQj6SQT+uNlzpw51jVGmqe+14uux4wZIwMGDBCdKELPRk+ePNk65McffxyPQ5MHAggkUGDkyJGik7joMN1BgwZZR1q2bJnodUk333xzXI7c0/eHXvukJ4W011yH22nS8oT2VselIGSCAAIIpFCAHqQU4nPo9BLQM6Tf+MY3RC+C1skTNKjRmeB0+FzoEJfuaqWzPelF0nr/ER22p0GKTpYQHErX3b6xrtMZ63S4i/5o0ouztZx6A9oHHnjACo70WNqTpNcy6H1PdLY8rQcJAQTsLTBt2jTr/65OJKMTw2hg8vDDD1vDZjv3XPe1Jj19f2i+xxxzjOhNafWaRu1x0u8XEgIIIOAkAXqQnNSa1CXhAhdffLG0tLRYMzhpwKTX81xxxRXy9a9/PaZja4/NddddZ032oLPb6VngU045RXTGqeA1SDFl1M1Gev3Br371K9F7nnz7298W/eGk10TpcbW8mu644w5rUolgr5U+a6BEQgAB+wro/+1bb73VmiVTJ13R4br63XHRRRfFrdCxfH/odZg6Gc3VV19tDdedOXNmR2903ApCRggggEAKBVxmLPGuiyNSWAgOjUC6Cej03DpMTSdg6EvS/3Y6Xbdez9Td9QR9yTt0Hx2Oo8PrBg4cGLq447WegdYhd3pdAwkBBNJHQAMUvc5Q//8mKvX0/aEndbQnPHjiJVHlIF8EEEAg2QIESMkW53gIIIAAAggggAACCCBgWwGuQbJt01AwBBBAAAEEEEAAAQQQSLYAAVKyxTkeAggggAACCCCAAAII2FaAAMm2TUPBEEAAAQQQQAABBBBAINkCBEjJFud4CCCAAAIIIIAAAgggYFsBAiTbNg0FQwABBBBAAAEEEEAAgWQLcB+kZItzPAQQSBsBv98v69evj6m8OmV7IqdcjqkQbIQAAggggAAC/RZgmu9+E5IBAgg4VUDvE1VWVhZT9Z5//nnrpr8xbRynjRYtWiQLFiyI641C41Q0KxuPxyN33323nH/++dY9v+KZN3khgAACCCCQKAECpETJki8CCKS9gN4I86GHHgqrx7333isrVqwQfQ5NRx99tEycODF0UcJf5+bmynnnndeljAk/cIwHuP322+Xaa6+VDRs2yMiRI2Pci80QQAABBBBIrQBD7FLrz9ERQMDGAnl5eXLZZZeFlfCFF16QlStXdlketlGS3ni93iQdqW+HsXv5+lYr9kIAAQQQcLoAAZLTW5j6IYBAUgUeeOABKS8vl9GjR8vvf/972W233eTCCy+0hphpwPDYY4/Jhx9+KE1NTTJ9+nT57ne/KwMHDgwr49atW+WJJ56QL7/8UnSY34QJE+T444+XAw880NquqqpK7r//fgkEAvLxxx/LjTfeaA2za2lpkaeeekouv/xy+eCDD+SVV14RPab2bp188snS2Ngojz76qLVuzpw5ctppp8mQIUPCjq3D9p577jn54osvZMyYMdZxDzvssLBt/vCHP8igQYPk0EMPlT/+8Y/y0UcfyfDhw+XUU0+VAw44wNr22WeflTfeeMN6/etf/9qq67e//e2wfHiDAAIIIICALQXMH1gSAggggECMAoccckggKysr6tb77LNPQLcxkzZY2+m2ZohZoLq6OrDvvvsGzB+CwOTJkwMnnnhioLS0NFBZWRlYvHhxR37z58+39i0qKgocccQRgblz5ways7MDLpcr8Mgjj1jbrVq1yjqG5mUCE+v1559/HjABkZX/OeecE8jPzw+YgCpgJo6wlpkhgVZexcXF1nLTO2atW7t2bcex/+d//idghu1ZjxNOOCEwY8YMa9+rrrqqYxt9MXPmTCuvKVOmBDS/gw8+OFBYWGiV8y9/+Yu17Q033BAYO3astb8JmgJXX311WB68QQABBBBAwK4CegaShAACCCAQo0AsAZIGLldeeWXA9BIFTC+QlfMFF1xgBQt//etfO46kwYkGOBrIBNNBBx1kBR1btmwJLgqYmfQCOTk5VsDSsdC80KDpoosu6lgUDJBMr1BgzZo11nLTAxXQYEvLZHqrAvX19dZyLYcuu+OOO6z3y5cvtwIj0ysUMD1YHXmaa4is7ebNm9exTAMk3VeDHq2jpmXLllnH2X///Tu2u/nmm63tNEAkIYAAAgggkC4C3AfJ/JUnIYAAAvEUML1Gctttt0lBQYGYXhbZsWOHNbTOBA9y0kkndRxKh7CdddZZ8s4778jChQutIXM///nP5aWXXpKKioqO7UaNGiWzZs0SHXoXS9Jhe6ZnytrU9FJ1DHu76aabxARL1nIT6FnP/397964SWRCEcbw28AlMZELBSNCXEHwFwQcQMRAxUTASwWASjTUTL5lmgokYG5gJgpGxGpgIDiNbX7Fn6OPOelndpo/7b1DPnGvP7wRLbXdV39zcxF9N2Xt6erKlpaXatLvFxUUbGBiI6YJx4q9fys9aW1uL76hdIyMjNj4+bh70paexjQACCCCAQOMEyEFq3CujwwggULqA8o98iluvmz46E8HPw8ND5P30DviGKryp+QiMjY2N2eTkZOQdqRjE5eWlXV1d2cXFRWynQVNc9Idfw8PDtSNao0lBTqvV6u2v8p663W7s03N8RMqUX7S9vd07Txta30n9S5u+o6ropU25V+ozDQEEEEAAgSYLECA1+TpvYa4AAANlSURBVO3RdwQQKFJgcHCw1q/b29v4rBEljS6lTaNI+vFcnti9s7Njs7OzUVDBc3iiuIFKeatwQhVMpdf32375fJ3jeUy1U32aQ+2z+qhRIZ/KV9uvDyryUI08VQf7LYqrAOvlfavz+YsAAggggEBTBH7/l7ApPaefCCCAQEMEqhEdL85gu7u7tV5rBKcKXlSdznOVzAs9mEaQFDhVTVXt/kXwUd1TfVR1vdXVVVM/06ZKeP0Cp/QcthFAAAEEEPguAvX/yvwu34rvgQACCBQkoOBjaGjIDg8PTdPs0jY9PW3KE1LujqbSKRhRnlIaHGmKnqa46VjaFFgpb+grmsp+qykQS5tyozR6ND8/n+5+13YV+H1VH9/1UE5CAAEEEEDgkwIESJ8E5HIEEEDgLQHl/7TbbXt8fDQv721nZ2d2fn5uKoCg9YK0bpGKKoyOjkaukJfztuPj4wiaDg4ObGJiIqbmeQW62iiS1iI6PT2NNZG80t1b3Xj1+MzMTKzZtLGxYZubm+alx21vb8+mpqYiQFpZWXn1+n4H1T+19fV1Ozo66ncK+xBAAAEEEChOgCl2xb0SOoQAAt9RwNcmiqIGCwsLVlWQ07Q1Tamrgg8VPtAUPAUoWhj2+fk5Fp1VtThNxVNukq+T1FswVtctLy/b3NxcFFJQkYS/bQriFLjpXr7uUW+0StXp9vf3Y6Hbj95bC8dubW3Fz8nJSQSHH70H5yOAAAIIIJBb4IfPP69n6ubuAc9DAAEE/jMBX+PI7u7uTEUYfIHVvt9e+UidTsdU4vu1psDp/v4+SnOrSMJXNE2Ju76+NlW6U+W7z97X12KKqn4qUkFDAAEEEECgdAECpNLfEP1DAAEEEEAAAQQQQACBbALkIGWj5kEIIIAAAggggAACCCBQugABUulviP4hgAACCCCAAAIIIIBANgECpGzUPAgBBBBAAAEEEEAAAQRKFyBAKv0N0T8EEEAAAQQQQAABBBDIJkCAlI2aByGAAAIIIIAAAggggEDpAgRIpb8h+ocAAggggAACCCCAAALZBAiQslHzIAQQQAABBBBAAAEEEChdgACp9DdE/xBAAAEEEEAAAQQQQCCbAAFSNmoehAACCCCAAAIIIIAAAqULECCV/oboHwIIIIAAAggggAACCGQT+An08QXN0ZiRcAAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/svg+xml": {
       "isolated": true
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p <- ggplot(data = CO2, mapping = aes(x = Treatment, y = uptake, color = Type))\n",
    "p <- p +\n",
    "    geom_boxplot(fill = NA) +\n",
    "    geom_jitter()\n",
    "p"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Facets\n",
    "\n",
    "Sometimes we want to plot subplots to show more different variables in the data. ggplot can do this with `facet_wrap` and `facet_grid`.\n",
    "\n",
    "We first need to reshape the dataset from a wide to a long format. In this case we have the `Plant`, `Type` and `Treatment` being descriptors and the `uptake` and `conc` being data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th></th><th scope=col>Plant</th><th scope=col>Type</th><th scope=col>Treatment</th><th scope=col>conc</th><th scope=col>uptake</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>1</th><td>Qn1</td><td>Quebec</td><td>nonchilled</td><td>95</td><td>16</td></tr>\n",
       "\t<tr><th scope=row>2</th><td>Qn1</td><td>Quebec</td><td>nonchilled</td><td>175</td><td>30.4</td></tr>\n",
       "\t<tr><th scope=row>3</th><td>Qn1</td><td>Quebec</td><td>nonchilled</td><td>250</td><td>34.8</td></tr>\n",
       "\t<tr><th scope=row>4</th><td>Qn1</td><td>Quebec</td><td>nonchilled</td><td>350</td><td>37.2</td></tr>\n",
       "\t<tr><th scope=row>5</th><td>Qn1</td><td>Quebec</td><td>nonchilled</td><td>500</td><td>35.3</td></tr>\n",
       "\t<tr><th scope=row>6</th><td>Qn1</td><td>Quebec</td><td>nonchilled</td><td>675</td><td>39.2</td></tr>\n",
       "\t<tr><th scope=row>7</th><td>Qn1</td><td>Quebec</td><td>nonchilled</td><td>1000</td><td>39.7</td></tr>\n",
       "\t<tr><th scope=row>8</th><td>Qn2</td><td>Quebec</td><td>nonchilled</td><td>95</td><td>13.6</td></tr>\n",
       "\t<tr><th scope=row>9</th><td>Qn2</td><td>Quebec</td><td>nonchilled</td><td>175</td><td>27.3</td></tr>\n",
       "\t<tr><th scope=row>10</th><td>Qn2</td><td>Quebec</td><td>nonchilled</td><td>250</td><td>37.1</td></tr>\n",
       "\t<tr><th scope=row>11</th><td>Qn2</td><td>Quebec</td><td>nonchilled</td><td>350</td><td>41.8</td></tr>\n",
       "\t<tr><th scope=row>12</th><td>Qn2</td><td>Quebec</td><td>nonchilled</td><td>500</td><td>40.6</td></tr>\n",
       "\t<tr><th scope=row>13</th><td>Qn2</td><td>Quebec</td><td>nonchilled</td><td>675</td><td>41.4</td></tr>\n",
       "\t<tr><th scope=row>14</th><td>Qn2</td><td>Quebec</td><td>nonchilled</td><td>1000</td><td>44.3</td></tr>\n",
       "\t<tr><th scope=row>15</th><td>Qn3</td><td>Quebec</td><td>nonchilled</td><td>95</td><td>16.2</td></tr>\n",
       "\t<tr><th scope=row>16</th><td>Qn3</td><td>Quebec</td><td>nonchilled</td><td>175</td><td>32.4</td></tr>\n",
       "\t<tr><th scope=row>17</th><td>Qn3</td><td>Quebec</td><td>nonchilled</td><td>250</td><td>40.3</td></tr>\n",
       "\t<tr><th scope=row>18</th><td>Qn3</td><td>Quebec</td><td>nonchilled</td><td>350</td><td>42.1</td></tr>\n",
       "\t<tr><th scope=row>19</th><td>Qn3</td><td>Quebec</td><td>nonchilled</td><td>500</td><td>42.9</td></tr>\n",
       "\t<tr><th scope=row>20</th><td>Qn3</td><td>Quebec</td><td>nonchilled</td><td>675</td><td>43.9</td></tr>\n",
       "\t<tr><th scope=row>21</th><td>Qn3</td><td>Quebec</td><td>nonchilled</td><td>1000</td><td>45.5</td></tr>\n",
       "\t<tr><th scope=row>22</th><td>Qc1</td><td>Quebec</td><td>chilled</td><td>95</td><td>14.2</td></tr>\n",
       "\t<tr><th scope=row>23</th><td>Qc1</td><td>Quebec</td><td>chilled</td><td>175</td><td>24.1</td></tr>\n",
       "\t<tr><th scope=row>24</th><td>Qc1</td><td>Quebec</td><td>chilled</td><td>250</td><td>30.3</td></tr>\n",
       "\t<tr><th scope=row>25</th><td>Qc1</td><td>Quebec</td><td>chilled</td><td>350</td><td>34.6</td></tr>\n",
       "\t<tr><th scope=row>26</th><td>Qc1</td><td>Quebec</td><td>chilled</td><td>500</td><td>32.5</td></tr>\n",
       "\t<tr><th scope=row>27</th><td>Qc1</td><td>Quebec</td><td>chilled</td><td>675</td><td>35.4</td></tr>\n",
       "\t<tr><th scope=row>28</th><td>Qc1</td><td>Quebec</td><td>chilled</td><td>1000</td><td>38.7</td></tr>\n",
       "\t<tr><th scope=row>29</th><td>Qc2</td><td>Quebec</td><td>chilled</td><td>95</td><td>9.3</td></tr>\n",
       "\t<tr><th scope=row>30</th><td>Qc2</td><td>Quebec</td><td>chilled</td><td>175</td><td>27.3</td></tr>\n",
       "\t<tr><th scope=row>31</th><td>Qc2</td><td>Quebec</td><td>chilled</td><td>250</td><td>35</td></tr>\n",
       "\t<tr><th scope=row>32</th><td>Qc2</td><td>Quebec</td><td>chilled</td><td>350</td><td>38.8</td></tr>\n",
       "\t<tr><th scope=row>33</th><td>Qc2</td><td>Quebec</td><td>chilled</td><td>500</td><td>38.6</td></tr>\n",
       "\t<tr><th scope=row>34</th><td>Qc2</td><td>Quebec</td><td>chilled</td><td>675</td><td>37.5</td></tr>\n",
       "\t<tr><th scope=row>35</th><td>Qc2</td><td>Quebec</td><td>chilled</td><td>1000</td><td>42.4</td></tr>\n",
       "\t<tr><th scope=row>36</th><td>Qc3</td><td>Quebec</td><td>chilled</td><td>95</td><td>15.1</td></tr>\n",
       "\t<tr><th scope=row>37</th><td>Qc3</td><td>Quebec</td><td>chilled</td><td>175</td><td>21</td></tr>\n",
       "\t<tr><th scope=row>38</th><td>Qc3</td><td>Quebec</td><td>chilled</td><td>250</td><td>38.1</td></tr>\n",
       "\t<tr><th scope=row>39</th><td>Qc3</td><td>Quebec</td><td>chilled</td><td>350</td><td>34</td></tr>\n",
       "\t<tr><th scope=row>40</th><td>Qc3</td><td>Quebec</td><td>chilled</td><td>500</td><td>38.9</td></tr>\n",
       "\t<tr><th scope=row>41</th><td>Qc3</td><td>Quebec</td><td>chilled</td><td>675</td><td>39.6</td></tr>\n",
       "\t<tr><th scope=row>42</th><td>Qc3</td><td>Quebec</td><td>chilled</td><td>1000</td><td>41.4</td></tr>\n",
       "\t<tr><th scope=row>43</th><td>Mn1</td><td>Mississippi</td><td>nonchilled</td><td>95</td><td>10.6</td></tr>\n",
       "\t<tr><th scope=row>44</th><td>Mn1</td><td>Mississippi</td><td>nonchilled</td><td>175</td><td>19.2</td></tr>\n",
       "\t<tr><th scope=row>45</th><td>Mn1</td><td>Mississippi</td><td>nonchilled</td><td>250</td><td>26.2</td></tr>\n",
       "\t<tr><th scope=row>46</th><td>Mn1</td><td>Mississippi</td><td>nonchilled</td><td>350</td><td>30</td></tr>\n",
       "\t<tr><th scope=row>47</th><td>Mn1</td><td>Mississippi</td><td>nonchilled</td><td>500</td><td>30.9</td></tr>\n",
       "\t<tr><th scope=row>48</th><td>Mn1</td><td>Mississippi</td><td>nonchilled</td><td>675</td><td>32.4</td></tr>\n",
       "\t<tr><th scope=row>49</th><td>Mn1</td><td>Mississippi</td><td>nonchilled</td><td>1000</td><td>35.5</td></tr>\n",
       "\t<tr><th scope=row>50</th><td>Mn2</td><td>Mississippi</td><td>nonchilled</td><td>95</td><td>12</td></tr>\n",
       "\t<tr><th scope=row>51</th><td>Mn2</td><td>Mississippi</td><td>nonchilled</td><td>175</td><td>22</td></tr>\n",
       "\t<tr><th scope=row>52</th><td>Mn2</td><td>Mississippi</td><td>nonchilled</td><td>250</td><td>30.6</td></tr>\n",
       "\t<tr><th scope=row>53</th><td>Mn2</td><td>Mississippi</td><td>nonchilled</td><td>350</td><td>31.8</td></tr>\n",
       "\t<tr><th scope=row>54</th><td>Mn2</td><td>Mississippi</td><td>nonchilled</td><td>500</td><td>32.4</td></tr>\n",
       "\t<tr><th scope=row>55</th><td>Mn2</td><td>Mississippi</td><td>nonchilled</td><td>675</td><td>31.1</td></tr>\n",
       "\t<tr><th scope=row>56</th><td>Mn2</td><td>Mississippi</td><td>nonchilled</td><td>1000</td><td>31.5</td></tr>\n",
       "\t<tr><th scope=row>57</th><td>Mn3</td><td>Mississippi</td><td>nonchilled</td><td>95</td><td>11.3</td></tr>\n",
       "\t<tr><th scope=row>58</th><td>Mn3</td><td>Mississippi</td><td>nonchilled</td><td>175</td><td>19.4</td></tr>\n",
       "\t<tr><th scope=row>59</th><td>Mn3</td><td>Mississippi</td><td>nonchilled</td><td>250</td><td>25.8</td></tr>\n",
       "\t<tr><th scope=row>60</th><td>Mn3</td><td>Mississippi</td><td>nonchilled</td><td>350</td><td>27.9</td></tr>\n",
       "\t<tr><th scope=row>61</th><td>Mn3</td><td>Mississippi</td><td>nonchilled</td><td>500</td><td>28.5</td></tr>\n",
       "\t<tr><th scope=row>62</th><td>Mn3</td><td>Mississippi</td><td>nonchilled</td><td>675</td><td>28.1</td></tr>\n",
       "\t<tr><th scope=row>63</th><td>Mn3</td><td>Mississippi</td><td>nonchilled</td><td>1000</td><td>27.8</td></tr>\n",
       "\t<tr><th scope=row>64</th><td>Mc1</td><td>Mississippi</td><td>chilled</td><td>95</td><td>10.5</td></tr>\n",
       "\t<tr><th scope=row>65</th><td>Mc1</td><td>Mississippi</td><td>chilled</td><td>175</td><td>14.9</td></tr>\n",
       "\t<tr><th scope=row>66</th><td>Mc1</td><td>Mississippi</td><td>chilled</td><td>250</td><td>18.1</td></tr>\n",
       "\t<tr><th scope=row>67</th><td>Mc1</td><td>Mississippi</td><td>chilled</td><td>350</td><td>18.9</td></tr>\n",
       "\t<tr><th scope=row>68</th><td>Mc1</td><td>Mississippi</td><td>chilled</td><td>500</td><td>19.5</td></tr>\n",
       "\t<tr><th scope=row>69</th><td>Mc1</td><td>Mississippi</td><td>chilled</td><td>675</td><td>22.2</td></tr>\n",
       "\t<tr><th scope=row>70</th><td>Mc1</td><td>Mississippi</td><td>chilled</td><td>1000</td><td>21.9</td></tr>\n",
       "\t<tr><th scope=row>71</th><td>Mc2</td><td>Mississippi</td><td>chilled</td><td>95</td><td>7.7</td></tr>\n",
       "\t<tr><th scope=row>72</th><td>Mc2</td><td>Mississippi</td><td>chilled</td><td>175</td><td>11.4</td></tr>\n",
       "\t<tr><th scope=row>73</th><td>Mc2</td><td>Mississippi</td><td>chilled</td><td>250</td><td>12.3</td></tr>\n",
       "\t<tr><th scope=row>74</th><td>Mc2</td><td>Mississippi</td><td>chilled</td><td>350</td><td>13</td></tr>\n",
       "\t<tr><th scope=row>75</th><td>Mc2</td><td>Mississippi</td><td>chilled</td><td>500</td><td>12.5</td></tr>\n",
       "\t<tr><th scope=row>76</th><td>Mc2</td><td>Mississippi</td><td>chilled</td><td>675</td><td>13.7</td></tr>\n",
       "\t<tr><th scope=row>77</th><td>Mc2</td><td>Mississippi</td><td>chilled</td><td>1000</td><td>14.4</td></tr>\n",
       "\t<tr><th scope=row>78</th><td>Mc3</td><td>Mississippi</td><td>chilled</td><td>95</td><td>10.6</td></tr>\n",
       "\t<tr><th scope=row>79</th><td>Mc3</td><td>Mississippi</td><td>chilled</td><td>175</td><td>18</td></tr>\n",
       "\t<tr><th scope=row>80</th><td>Mc3</td><td>Mississippi</td><td>chilled</td><td>250</td><td>17.9</td></tr>\n",
       "\t<tr><th scope=row>81</th><td>Mc3</td><td>Mississippi</td><td>chilled</td><td>350</td><td>17.9</td></tr>\n",
       "\t<tr><th scope=row>82</th><td>Mc3</td><td>Mississippi</td><td>chilled</td><td>500</td><td>17.9</td></tr>\n",
       "\t<tr><th scope=row>83</th><td>Mc3</td><td>Mississippi</td><td>chilled</td><td>675</td><td>18.9</td></tr>\n",
       "\t<tr><th scope=row>84</th><td>Mc3</td><td>Mississippi</td><td>chilled</td><td>1000</td><td>19.9</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|lllll}\n",
       "  & Plant & Type & Treatment & conc & uptake\\\\\n",
       "\\hline\n",
       "\t1 & Qn1 & Quebec & nonchilled & 95 & 16\\\\\n",
       "\t2 & Qn1 & Quebec & nonchilled & 175 & 30.4\\\\\n",
       "\t3 & Qn1 & Quebec & nonchilled & 250 & 34.8\\\\\n",
       "\t4 & Qn1 & Quebec & nonchilled & 350 & 37.2\\\\\n",
       "\t5 & Qn1 & Quebec & nonchilled & 500 & 35.3\\\\\n",
       "\t6 & Qn1 & Quebec & nonchilled & 675 & 39.2\\\\\n",
       "\t7 & Qn1 & Quebec & nonchilled & 1000 & 39.7\\\\\n",
       "\t8 & Qn2 & Quebec & nonchilled & 95 & 13.6\\\\\n",
       "\t9 & Qn2 & Quebec & nonchilled & 175 & 27.3\\\\\n",
       "\t10 & Qn2 & Quebec & nonchilled & 250 & 37.1\\\\\n",
       "\t11 & Qn2 & Quebec & nonchilled & 350 & 41.8\\\\\n",
       "\t12 & Qn2 & Quebec & nonchilled & 500 & 40.6\\\\\n",
       "\t13 & Qn2 & Quebec & nonchilled & 675 & 41.4\\\\\n",
       "\t14 & Qn2 & Quebec & nonchilled & 1000 & 44.3\\\\\n",
       "\t15 & Qn3 & Quebec & nonchilled & 95 & 16.2\\\\\n",
       "\t16 & Qn3 & Quebec & nonchilled & 175 & 32.4\\\\\n",
       "\t17 & Qn3 & Quebec & nonchilled & 250 & 40.3\\\\\n",
       "\t18 & Qn3 & Quebec & nonchilled & 350 & 42.1\\\\\n",
       "\t19 & Qn3 & Quebec & nonchilled & 500 & 42.9\\\\\n",
       "\t20 & Qn3 & Quebec & nonchilled & 675 & 43.9\\\\\n",
       "\t21 & Qn3 & Quebec & nonchilled & 1000 & 45.5\\\\\n",
       "\t22 & Qc1 & Quebec & chilled & 95 & 14.2\\\\\n",
       "\t23 & Qc1 & Quebec & chilled & 175 & 24.1\\\\\n",
       "\t24 & Qc1 & Quebec & chilled & 250 & 30.3\\\\\n",
       "\t25 & Qc1 & Quebec & chilled & 350 & 34.6\\\\\n",
       "\t26 & Qc1 & Quebec & chilled & 500 & 32.5\\\\\n",
       "\t27 & Qc1 & Quebec & chilled & 675 & 35.4\\\\\n",
       "\t28 & Qc1 & Quebec & chilled & 1000 & 38.7\\\\\n",
       "\t29 & Qc2 & Quebec & chilled & 95 & 9.3\\\\\n",
       "\t30 & Qc2 & Quebec & chilled & 175 & 27.3\\\\\n",
       "\t31 & Qc2 & Quebec & chilled & 250 & 35\\\\\n",
       "\t32 & Qc2 & Quebec & chilled & 350 & 38.8\\\\\n",
       "\t33 & Qc2 & Quebec & chilled & 500 & 38.6\\\\\n",
       "\t34 & Qc2 & Quebec & chilled & 675 & 37.5\\\\\n",
       "\t35 & Qc2 & Quebec & chilled & 1000 & 42.4\\\\\n",
       "\t36 & Qc3 & Quebec & chilled & 95 & 15.1\\\\\n",
       "\t37 & Qc3 & Quebec & chilled & 175 & 21\\\\\n",
       "\t38 & Qc3 & Quebec & chilled & 250 & 38.1\\\\\n",
       "\t39 & Qc3 & Quebec & chilled & 350 & 34\\\\\n",
       "\t40 & Qc3 & Quebec & chilled & 500 & 38.9\\\\\n",
       "\t41 & Qc3 & Quebec & chilled & 675 & 39.6\\\\\n",
       "\t42 & Qc3 & Quebec & chilled & 1000 & 41.4\\\\\n",
       "\t43 & Mn1 & Mississippi & nonchilled & 95 & 10.6\\\\\n",
       "\t44 & Mn1 & Mississippi & nonchilled & 175 & 19.2\\\\\n",
       "\t45 & Mn1 & Mississippi & nonchilled & 250 & 26.2\\\\\n",
       "\t46 & Mn1 & Mississippi & nonchilled & 350 & 30\\\\\n",
       "\t47 & Mn1 & Mississippi & nonchilled & 500 & 30.9\\\\\n",
       "\t48 & Mn1 & Mississippi & nonchilled & 675 & 32.4\\\\\n",
       "\t49 & Mn1 & Mississippi & nonchilled & 1000 & 35.5\\\\\n",
       "\t50 & Mn2 & Mississippi & nonchilled & 95 & 12\\\\\n",
       "\t51 & Mn2 & Mississippi & nonchilled & 175 & 22\\\\\n",
       "\t52 & Mn2 & Mississippi & nonchilled & 250 & 30.6\\\\\n",
       "\t53 & Mn2 & Mississippi & nonchilled & 350 & 31.8\\\\\n",
       "\t54 & Mn2 & Mississippi & nonchilled & 500 & 32.4\\\\\n",
       "\t55 & Mn2 & Mississippi & nonchilled & 675 & 31.1\\\\\n",
       "\t56 & Mn2 & Mississippi & nonchilled & 1000 & 31.5\\\\\n",
       "\t57 & Mn3 & Mississippi & nonchilled & 95 & 11.3\\\\\n",
       "\t58 & Mn3 & Mississippi & nonchilled & 175 & 19.4\\\\\n",
       "\t59 & Mn3 & Mississippi & nonchilled & 250 & 25.8\\\\\n",
       "\t60 & Mn3 & Mississippi & nonchilled & 350 & 27.9\\\\\n",
       "\t61 & Mn3 & Mississippi & nonchilled & 500 & 28.5\\\\\n",
       "\t62 & Mn3 & Mississippi & nonchilled & 675 & 28.1\\\\\n",
       "\t63 & Mn3 & Mississippi & nonchilled & 1000 & 27.8\\\\\n",
       "\t64 & Mc1 & Mississippi & chilled & 95 & 10.5\\\\\n",
       "\t65 & Mc1 & Mississippi & chilled & 175 & 14.9\\\\\n",
       "\t66 & Mc1 & Mississippi & chilled & 250 & 18.1\\\\\n",
       "\t67 & Mc1 & Mississippi & chilled & 350 & 18.9\\\\\n",
       "\t68 & Mc1 & Mississippi & chilled & 500 & 19.5\\\\\n",
       "\t69 & Mc1 & Mississippi & chilled & 675 & 22.2\\\\\n",
       "\t70 & Mc1 & Mississippi & chilled & 1000 & 21.9\\\\\n",
       "\t71 & Mc2 & Mississippi & chilled & 95 & 7.7\\\\\n",
       "\t72 & Mc2 & Mississippi & chilled & 175 & 11.4\\\\\n",
       "\t73 & Mc2 & Mississippi & chilled & 250 & 12.3\\\\\n",
       "\t74 & Mc2 & Mississippi & chilled & 350 & 13\\\\\n",
       "\t75 & Mc2 & Mississippi & chilled & 500 & 12.5\\\\\n",
       "\t76 & Mc2 & Mississippi & chilled & 675 & 13.7\\\\\n",
       "\t77 & Mc2 & Mississippi & chilled & 1000 & 14.4\\\\\n",
       "\t78 & Mc3 & Mississippi & chilled & 95 & 10.6\\\\\n",
       "\t79 & Mc3 & Mississippi & chilled & 175 & 18\\\\\n",
       "\t80 & Mc3 & Mississippi & chilled & 250 & 17.9\\\\\n",
       "\t81 & Mc3 & Mississippi & chilled & 350 & 17.9\\\\\n",
       "\t82 & Mc3 & Mississippi & chilled & 500 & 17.9\\\\\n",
       "\t83 & Mc3 & Mississippi & chilled & 675 & 18.9\\\\\n",
       "\t84 & Mc3 & Mississippi & chilled & 1000 & 19.9\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/plain": [
       "   Plant        Type  Treatment conc uptake\n",
       "1    Qn1      Quebec nonchilled   95   16.0\n",
       "2    Qn1      Quebec nonchilled  175   30.4\n",
       "3    Qn1      Quebec nonchilled  250   34.8\n",
       "4    Qn1      Quebec nonchilled  350   37.2\n",
       "5    Qn1      Quebec nonchilled  500   35.3\n",
       "6    Qn1      Quebec nonchilled  675   39.2\n",
       "7    Qn1      Quebec nonchilled 1000   39.7\n",
       "8    Qn2      Quebec nonchilled   95   13.6\n",
       "9    Qn2      Quebec nonchilled  175   27.3\n",
       "10   Qn2      Quebec nonchilled  250   37.1\n",
       "11   Qn2      Quebec nonchilled  350   41.8\n",
       "12   Qn2      Quebec nonchilled  500   40.6\n",
       "13   Qn2      Quebec nonchilled  675   41.4\n",
       "14   Qn2      Quebec nonchilled 1000   44.3\n",
       "15   Qn3      Quebec nonchilled   95   16.2\n",
       "16   Qn3      Quebec nonchilled  175   32.4\n",
       "17   Qn3      Quebec nonchilled  250   40.3\n",
       "18   Qn3      Quebec nonchilled  350   42.1\n",
       "19   Qn3      Quebec nonchilled  500   42.9\n",
       "20   Qn3      Quebec nonchilled  675   43.9\n",
       "21   Qn3      Quebec nonchilled 1000   45.5\n",
       "22   Qc1      Quebec    chilled   95   14.2\n",
       "23   Qc1      Quebec    chilled  175   24.1\n",
       "24   Qc1      Quebec    chilled  250   30.3\n",
       "25   Qc1      Quebec    chilled  350   34.6\n",
       "26   Qc1      Quebec    chilled  500   32.5\n",
       "27   Qc1      Quebec    chilled  675   35.4\n",
       "28   Qc1      Quebec    chilled 1000   38.7\n",
       "29   Qc2      Quebec    chilled   95    9.3\n",
       "30   Qc2      Quebec    chilled  175   27.3\n",
       "31   Qc2      Quebec    chilled  250   35.0\n",
       "32   Qc2      Quebec    chilled  350   38.8\n",
       "33   Qc2      Quebec    chilled  500   38.6\n",
       "34   Qc2      Quebec    chilled  675   37.5\n",
       "35   Qc2      Quebec    chilled 1000   42.4\n",
       "36   Qc3      Quebec    chilled   95   15.1\n",
       "37   Qc3      Quebec    chilled  175   21.0\n",
       "38   Qc3      Quebec    chilled  250   38.1\n",
       "39   Qc3      Quebec    chilled  350   34.0\n",
       "40   Qc3      Quebec    chilled  500   38.9\n",
       "41   Qc3      Quebec    chilled  675   39.6\n",
       "42   Qc3      Quebec    chilled 1000   41.4\n",
       "43   Mn1 Mississippi nonchilled   95   10.6\n",
       "44   Mn1 Mississippi nonchilled  175   19.2\n",
       "45   Mn1 Mississippi nonchilled  250   26.2\n",
       "46   Mn1 Mississippi nonchilled  350   30.0\n",
       "47   Mn1 Mississippi nonchilled  500   30.9\n",
       "48   Mn1 Mississippi nonchilled  675   32.4\n",
       "49   Mn1 Mississippi nonchilled 1000   35.5\n",
       "50   Mn2 Mississippi nonchilled   95   12.0\n",
       "51   Mn2 Mississippi nonchilled  175   22.0\n",
       "52   Mn2 Mississippi nonchilled  250   30.6\n",
       "53   Mn2 Mississippi nonchilled  350   31.8\n",
       "54   Mn2 Mississippi nonchilled  500   32.4\n",
       "55   Mn2 Mississippi nonchilled  675   31.1\n",
       "56   Mn2 Mississippi nonchilled 1000   31.5\n",
       "57   Mn3 Mississippi nonchilled   95   11.3\n",
       "58   Mn3 Mississippi nonchilled  175   19.4\n",
       "59   Mn3 Mississippi nonchilled  250   25.8\n",
       "60   Mn3 Mississippi nonchilled  350   27.9\n",
       "61   Mn3 Mississippi nonchilled  500   28.5\n",
       "62   Mn3 Mississippi nonchilled  675   28.1\n",
       "63   Mn3 Mississippi nonchilled 1000   27.8\n",
       "64   Mc1 Mississippi    chilled   95   10.5\n",
       "65   Mc1 Mississippi    chilled  175   14.9\n",
       "66   Mc1 Mississippi    chilled  250   18.1\n",
       "67   Mc1 Mississippi    chilled  350   18.9\n",
       "68   Mc1 Mississippi    chilled  500   19.5\n",
       "69   Mc1 Mississippi    chilled  675   22.2\n",
       "70   Mc1 Mississippi    chilled 1000   21.9\n",
       "71   Mc2 Mississippi    chilled   95    7.7\n",
       "72   Mc2 Mississippi    chilled  175   11.4\n",
       "73   Mc2 Mississippi    chilled  250   12.3\n",
       "74   Mc2 Mississippi    chilled  350   13.0\n",
       "75   Mc2 Mississippi    chilled  500   12.5\n",
       "76   Mc2 Mississippi    chilled  675   13.7\n",
       "77   Mc2 Mississippi    chilled 1000   14.4\n",
       "78   Mc3 Mississippi    chilled   95   10.6\n",
       "79   Mc3 Mississippi    chilled  175   18.0\n",
       "80   Mc3 Mississippi    chilled  250   17.9\n",
       "81   Mc3 Mississippi    chilled  350   17.9\n",
       "82   Mc3 Mississippi    chilled  500   17.9\n",
       "83   Mc3 Mississippi    chilled  675   18.9\n",
       "84   Mc3 Mississippi    chilled 1000   19.9"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "library(\"tidyr\")\n",
    "CO2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We could simply select the columns that we want to have gathered..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "CO2_gathered <- gather(\n",
    "    data = CO2,\n",
    "    key = \"variable\",\n",
    "    value = \"value\",\n",
    "    uptake, conc\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "... or specify the identifier columns that we do not want to have considered."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "CO2_gathered <- gather(\n",
    "    data = CO2,\n",
    "    key = \"variable\",\n",
    "    value = \"value\",\n",
    "    -Plant, -Type, -Treatment\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is the resulting table."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th></th><th scope=col>Plant</th><th scope=col>Type</th><th scope=col>Treatment</th><th scope=col>variable</th><th scope=col>value</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>1</th><td>Qn1</td><td>Quebec</td><td>nonchilled</td><td>conc</td><td>95</td></tr>\n",
       "\t<tr><th scope=row>2</th><td>Qn1</td><td>Quebec</td><td>nonchilled</td><td>conc</td><td>175</td></tr>\n",
       "\t<tr><th scope=row>3</th><td>Qn1</td><td>Quebec</td><td>nonchilled</td><td>conc</td><td>250</td></tr>\n",
       "\t<tr><th scope=row>4</th><td>Qn1</td><td>Quebec</td><td>nonchilled</td><td>conc</td><td>350</td></tr>\n",
       "\t<tr><th scope=row>5</th><td>Qn1</td><td>Quebec</td><td>nonchilled</td><td>conc</td><td>500</td></tr>\n",
       "\t<tr><th scope=row>6</th><td>Qn1</td><td>Quebec</td><td>nonchilled</td><td>conc</td><td>675</td></tr>\n",
       "\t<tr><th scope=row>7</th><td>Qn1</td><td>Quebec</td><td>nonchilled</td><td>conc</td><td>1000</td></tr>\n",
       "\t<tr><th scope=row>8</th><td>Qn2</td><td>Quebec</td><td>nonchilled</td><td>conc</td><td>95</td></tr>\n",
       "\t<tr><th scope=row>9</th><td>Qn2</td><td>Quebec</td><td>nonchilled</td><td>conc</td><td>175</td></tr>\n",
       "\t<tr><th scope=row>10</th><td>Qn2</td><td>Quebec</td><td>nonchilled</td><td>conc</td><td>250</td></tr>\n",
       "\t<tr><th scope=row>11</th><td>Qn2</td><td>Quebec</td><td>nonchilled</td><td>conc</td><td>350</td></tr>\n",
       "\t<tr><th scope=row>12</th><td>Qn2</td><td>Quebec</td><td>nonchilled</td><td>conc</td><td>500</td></tr>\n",
       "\t<tr><th scope=row>13</th><td>Qn2</td><td>Quebec</td><td>nonchilled</td><td>conc</td><td>675</td></tr>\n",
       "\t<tr><th scope=row>14</th><td>Qn2</td><td>Quebec</td><td>nonchilled</td><td>conc</td><td>1000</td></tr>\n",
       "\t<tr><th scope=row>15</th><td>Qn3</td><td>Quebec</td><td>nonchilled</td><td>conc</td><td>95</td></tr>\n",
       "\t<tr><th scope=row>16</th><td>Qn3</td><td>Quebec</td><td>nonchilled</td><td>conc</td><td>175</td></tr>\n",
       "\t<tr><th scope=row>17</th><td>Qn3</td><td>Quebec</td><td>nonchilled</td><td>conc</td><td>250</td></tr>\n",
       "\t<tr><th scope=row>18</th><td>Qn3</td><td>Quebec</td><td>nonchilled</td><td>conc</td><td>350</td></tr>\n",
       "\t<tr><th scope=row>19</th><td>Qn3</td><td>Quebec</td><td>nonchilled</td><td>conc</td><td>500</td></tr>\n",
       "\t<tr><th scope=row>20</th><td>Qn3</td><td>Quebec</td><td>nonchilled</td><td>conc</td><td>675</td></tr>\n",
       "\t<tr><th scope=row>21</th><td>Qn3</td><td>Quebec</td><td>nonchilled</td><td>conc</td><td>1000</td></tr>\n",
       "\t<tr><th scope=row>22</th><td>Qc1</td><td>Quebec</td><td>chilled</td><td>conc</td><td>95</td></tr>\n",
       "\t<tr><th scope=row>23</th><td>Qc1</td><td>Quebec</td><td>chilled</td><td>conc</td><td>175</td></tr>\n",
       "\t<tr><th scope=row>24</th><td>Qc1</td><td>Quebec</td><td>chilled</td><td>conc</td><td>250</td></tr>\n",
       "\t<tr><th scope=row>25</th><td>Qc1</td><td>Quebec</td><td>chilled</td><td>conc</td><td>350</td></tr>\n",
       "\t<tr><th scope=row>26</th><td>Qc1</td><td>Quebec</td><td>chilled</td><td>conc</td><td>500</td></tr>\n",
       "\t<tr><th scope=row>27</th><td>Qc1</td><td>Quebec</td><td>chilled</td><td>conc</td><td>675</td></tr>\n",
       "\t<tr><th scope=row>28</th><td>Qc1</td><td>Quebec</td><td>chilled</td><td>conc</td><td>1000</td></tr>\n",
       "\t<tr><th scope=row>29</th><td>Qc2</td><td>Quebec</td><td>chilled</td><td>conc</td><td>95</td></tr>\n",
       "\t<tr><th scope=row>30</th><td>Qc2</td><td>Quebec</td><td>chilled</td><td>conc</td><td>175</td></tr>\n",
       "\t<tr><th scope=row>31</th><td>Qc2</td><td>Quebec</td><td>chilled</td><td>conc</td><td>250</td></tr>\n",
       "\t<tr><th scope=row>32</th><td>Qc2</td><td>Quebec</td><td>chilled</td><td>conc</td><td>350</td></tr>\n",
       "\t<tr><th scope=row>33</th><td>Qc2</td><td>Quebec</td><td>chilled</td><td>conc</td><td>500</td></tr>\n",
       "\t<tr><th scope=row>34</th><td>Qc2</td><td>Quebec</td><td>chilled</td><td>conc</td><td>675</td></tr>\n",
       "\t<tr><th scope=row>35</th><td>Qc2</td><td>Quebec</td><td>chilled</td><td>conc</td><td>1000</td></tr>\n",
       "\t<tr><th scope=row>36</th><td>Qc3</td><td>Quebec</td><td>chilled</td><td>conc</td><td>95</td></tr>\n",
       "\t<tr><th scope=row>37</th><td>Qc3</td><td>Quebec</td><td>chilled</td><td>conc</td><td>175</td></tr>\n",
       "\t<tr><th scope=row>38</th><td>Qc3</td><td>Quebec</td><td>chilled</td><td>conc</td><td>250</td></tr>\n",
       "\t<tr><th scope=row>39</th><td>Qc3</td><td>Quebec</td><td>chilled</td><td>conc</td><td>350</td></tr>\n",
       "\t<tr><th scope=row>40</th><td>Qc3</td><td>Quebec</td><td>chilled</td><td>conc</td><td>500</td></tr>\n",
       "\t<tr><th scope=row>41</th><td>Qc3</td><td>Quebec</td><td>chilled</td><td>conc</td><td>675</td></tr>\n",
       "\t<tr><th scope=row>42</th><td>Qc3</td><td>Quebec</td><td>chilled</td><td>conc</td><td>1000</td></tr>\n",
       "\t<tr><th scope=row>43</th><td>Mn1</td><td>Mississippi</td><td>nonchilled</td><td>conc</td><td>95</td></tr>\n",
       "\t<tr><th scope=row>44</th><td>Mn1</td><td>Mississippi</td><td>nonchilled</td><td>conc</td><td>175</td></tr>\n",
       "\t<tr><th scope=row>45</th><td>Mn1</td><td>Mississippi</td><td>nonchilled</td><td>conc</td><td>250</td></tr>\n",
       "\t<tr><th scope=row>46</th><td>Mn1</td><td>Mississippi</td><td>nonchilled</td><td>conc</td><td>350</td></tr>\n",
       "\t<tr><th scope=row>47</th><td>Mn1</td><td>Mississippi</td><td>nonchilled</td><td>conc</td><td>500</td></tr>\n",
       "\t<tr><th scope=row>48</th><td>Mn1</td><td>Mississippi</td><td>nonchilled</td><td>conc</td><td>675</td></tr>\n",
       "\t<tr><th scope=row>49</th><td>Mn1</td><td>Mississippi</td><td>nonchilled</td><td>conc</td><td>1000</td></tr>\n",
       "\t<tr><th scope=row>50</th><td>Mn2</td><td>Mississippi</td><td>nonchilled</td><td>conc</td><td>95</td></tr>\n",
       "\t<tr><th scope=row>51</th><td>Mn2</td><td>Mississippi</td><td>nonchilled</td><td>conc</td><td>175</td></tr>\n",
       "\t<tr><th scope=row>52</th><td>Mn2</td><td>Mississippi</td><td>nonchilled</td><td>conc</td><td>250</td></tr>\n",
       "\t<tr><th scope=row>53</th><td>Mn2</td><td>Mississippi</td><td>nonchilled</td><td>conc</td><td>350</td></tr>\n",
       "\t<tr><th scope=row>54</th><td>Mn2</td><td>Mississippi</td><td>nonchilled</td><td>conc</td><td>500</td></tr>\n",
       "\t<tr><th scope=row>55</th><td>Mn2</td><td>Mississippi</td><td>nonchilled</td><td>conc</td><td>675</td></tr>\n",
       "\t<tr><th scope=row>56</th><td>Mn2</td><td>Mississippi</td><td>nonchilled</td><td>conc</td><td>1000</td></tr>\n",
       "\t<tr><th scope=row>57</th><td>Mn3</td><td>Mississippi</td><td>nonchilled</td><td>conc</td><td>95</td></tr>\n",
       "\t<tr><th scope=row>58</th><td>Mn3</td><td>Mississippi</td><td>nonchilled</td><td>conc</td><td>175</td></tr>\n",
       "\t<tr><th scope=row>59</th><td>Mn3</td><td>Mississippi</td><td>nonchilled</td><td>conc</td><td>250</td></tr>\n",
       "\t<tr><th scope=row>60</th><td>Mn3</td><td>Mississippi</td><td>nonchilled</td><td>conc</td><td>350</td></tr>\n",
       "\t<tr><th scope=row>61</th><td>Mn3</td><td>Mississippi</td><td>nonchilled</td><td>conc</td><td>500</td></tr>\n",
       "\t<tr><th scope=row>62</th><td>Mn3</td><td>Mississippi</td><td>nonchilled</td><td>conc</td><td>675</td></tr>\n",
       "\t<tr><th scope=row>63</th><td>Mn3</td><td>Mississippi</td><td>nonchilled</td><td>conc</td><td>1000</td></tr>\n",
       "\t<tr><th scope=row>64</th><td>Mc1</td><td>Mississippi</td><td>chilled</td><td>conc</td><td>95</td></tr>\n",
       "\t<tr><th scope=row>65</th><td>Mc1</td><td>Mississippi</td><td>chilled</td><td>conc</td><td>175</td></tr>\n",
       "\t<tr><th scope=row>66</th><td>Mc1</td><td>Mississippi</td><td>chilled</td><td>conc</td><td>250</td></tr>\n",
       "\t<tr><th scope=row>67</th><td>Mc1</td><td>Mississippi</td><td>chilled</td><td>conc</td><td>350</td></tr>\n",
       "\t<tr><th scope=row>68</th><td>Mc1</td><td>Mississippi</td><td>chilled</td><td>conc</td><td>500</td></tr>\n",
       "\t<tr><th scope=row>69</th><td>Mc1</td><td>Mississippi</td><td>chilled</td><td>conc</td><td>675</td></tr>\n",
       "\t<tr><th scope=row>70</th><td>Mc1</td><td>Mississippi</td><td>chilled</td><td>conc</td><td>1000</td></tr>\n",
       "\t<tr><th scope=row>71</th><td>Mc2</td><td>Mississippi</td><td>chilled</td><td>conc</td><td>95</td></tr>\n",
       "\t<tr><th scope=row>72</th><td>Mc2</td><td>Mississippi</td><td>chilled</td><td>conc</td><td>175</td></tr>\n",
       "\t<tr><th scope=row>73</th><td>Mc2</td><td>Mississippi</td><td>chilled</td><td>conc</td><td>250</td></tr>\n",
       "\t<tr><th scope=row>74</th><td>Mc2</td><td>Mississippi</td><td>chilled</td><td>conc</td><td>350</td></tr>\n",
       "\t<tr><th scope=row>75</th><td>Mc2</td><td>Mississippi</td><td>chilled</td><td>conc</td><td>500</td></tr>\n",
       "\t<tr><th scope=row>76</th><td>Mc2</td><td>Mississippi</td><td>chilled</td><td>conc</td><td>675</td></tr>\n",
       "\t<tr><th scope=row>77</th><td>Mc2</td><td>Mississippi</td><td>chilled</td><td>conc</td><td>1000</td></tr>\n",
       "\t<tr><th scope=row>78</th><td>Mc3</td><td>Mississippi</td><td>chilled</td><td>conc</td><td>95</td></tr>\n",
       "\t<tr><th scope=row>79</th><td>Mc3</td><td>Mississippi</td><td>chilled</td><td>conc</td><td>175</td></tr>\n",
       "\t<tr><th scope=row>80</th><td>Mc3</td><td>Mississippi</td><td>chilled</td><td>conc</td><td>250</td></tr>\n",
       "\t<tr><th scope=row>81</th><td>Mc3</td><td>Mississippi</td><td>chilled</td><td>conc</td><td>350</td></tr>\n",
       "\t<tr><th scope=row>82</th><td>Mc3</td><td>Mississippi</td><td>chilled</td><td>conc</td><td>500</td></tr>\n",
       "\t<tr><th scope=row>83</th><td>Mc3</td><td>Mississippi</td><td>chilled</td><td>conc</td><td>675</td></tr>\n",
       "\t<tr><th scope=row>84</th><td>Mc3</td><td>Mississippi</td><td>chilled</td><td>conc</td><td>1000</td></tr>\n",
       "\t<tr><th scope=row>85</th><td>Qn1</td><td>Quebec</td><td>nonchilled</td><td>uptake</td><td>16</td></tr>\n",
       "\t<tr><th scope=row>86</th><td>Qn1</td><td>Quebec</td><td>nonchilled</td><td>uptake</td><td>30.4</td></tr>\n",
       "\t<tr><th scope=row>87</th><td>Qn1</td><td>Quebec</td><td>nonchilled</td><td>uptake</td><td>34.8</td></tr>\n",
       "\t<tr><th scope=row>88</th><td>Qn1</td><td>Quebec</td><td>nonchilled</td><td>uptake</td><td>37.2</td></tr>\n",
       "\t<tr><th scope=row>89</th><td>Qn1</td><td>Quebec</td><td>nonchilled</td><td>uptake</td><td>35.3</td></tr>\n",
       "\t<tr><th scope=row>90</th><td>Qn1</td><td>Quebec</td><td>nonchilled</td><td>uptake</td><td>39.2</td></tr>\n",
       "\t<tr><th scope=row>91</th><td>Qn1</td><td>Quebec</td><td>nonchilled</td><td>uptake</td><td>39.7</td></tr>\n",
       "\t<tr><th scope=row>92</th><td>Qn2</td><td>Quebec</td><td>nonchilled</td><td>uptake</td><td>13.6</td></tr>\n",
       "\t<tr><th scope=row>93</th><td>Qn2</td><td>Quebec</td><td>nonchilled</td><td>uptake</td><td>27.3</td></tr>\n",
       "\t<tr><th scope=row>94</th><td>Qn2</td><td>Quebec</td><td>nonchilled</td><td>uptake</td><td>37.1</td></tr>\n",
       "\t<tr><th scope=row>95</th><td>Qn2</td><td>Quebec</td><td>nonchilled</td><td>uptake</td><td>41.8</td></tr>\n",
       "\t<tr><th scope=row>96</th><td>Qn2</td><td>Quebec</td><td>nonchilled</td><td>uptake</td><td>40.6</td></tr>\n",
       "\t<tr><th scope=row>97</th><td>Qn2</td><td>Quebec</td><td>nonchilled</td><td>uptake</td><td>41.4</td></tr>\n",
       "\t<tr><th scope=row>98</th><td>Qn2</td><td>Quebec</td><td>nonchilled</td><td>uptake</td><td>44.3</td></tr>\n",
       "\t<tr><th scope=row>99</th><td>Qn3</td><td>Quebec</td><td>nonchilled</td><td>uptake</td><td>16.2</td></tr>\n",
       "\t<tr><th scope=row>100</th><td>Qn3</td><td>Quebec</td><td>nonchilled</td><td>uptake</td><td>32.4</td></tr>\n",
       "\t<tr><th scope=row>101</th><td>Qn3</td><td>Quebec</td><td>nonchilled</td><td>uptake</td><td>40.3</td></tr>\n",
       "\t<tr><th scope=row>102</th><td>Qn3</td><td>Quebec</td><td>nonchilled</td><td>uptake</td><td>42.1</td></tr>\n",
       "\t<tr><th scope=row>103</th><td>Qn3</td><td>Quebec</td><td>nonchilled</td><td>uptake</td><td>42.9</td></tr>\n",
       "\t<tr><th scope=row>104</th><td>Qn3</td><td>Quebec</td><td>nonchilled</td><td>uptake</td><td>43.9</td></tr>\n",
       "\t<tr><th scope=row>105</th><td>Qn3</td><td>Quebec</td><td>nonchilled</td><td>uptake</td><td>45.5</td></tr>\n",
       "\t<tr><th scope=row>106</th><td>Qc1</td><td>Quebec</td><td>chilled</td><td>uptake</td><td>14.2</td></tr>\n",
       "\t<tr><th scope=row>107</th><td>Qc1</td><td>Quebec</td><td>chilled</td><td>uptake</td><td>24.1</td></tr>\n",
       "\t<tr><th scope=row>108</th><td>Qc1</td><td>Quebec</td><td>chilled</td><td>uptake</td><td>30.3</td></tr>\n",
       "\t<tr><th scope=row>109</th><td>Qc1</td><td>Quebec</td><td>chilled</td><td>uptake</td><td>34.6</td></tr>\n",
       "\t<tr><th scope=row>110</th><td>Qc1</td><td>Quebec</td><td>chilled</td><td>uptake</td><td>32.5</td></tr>\n",
       "\t<tr><th scope=row>111</th><td>Qc1</td><td>Quebec</td><td>chilled</td><td>uptake</td><td>35.4</td></tr>\n",
       "\t<tr><th scope=row>112</th><td>Qc1</td><td>Quebec</td><td>chilled</td><td>uptake</td><td>38.7</td></tr>\n",
       "\t<tr><th scope=row>113</th><td>Qc2</td><td>Quebec</td><td>chilled</td><td>uptake</td><td>9.3</td></tr>\n",
       "\t<tr><th scope=row>114</th><td>Qc2</td><td>Quebec</td><td>chilled</td><td>uptake</td><td>27.3</td></tr>\n",
       "\t<tr><th scope=row>115</th><td>Qc2</td><td>Quebec</td><td>chilled</td><td>uptake</td><td>35</td></tr>\n",
       "\t<tr><th scope=row>116</th><td>Qc2</td><td>Quebec</td><td>chilled</td><td>uptake</td><td>38.8</td></tr>\n",
       "\t<tr><th scope=row>117</th><td>Qc2</td><td>Quebec</td><td>chilled</td><td>uptake</td><td>38.6</td></tr>\n",
       "\t<tr><th scope=row>118</th><td>Qc2</td><td>Quebec</td><td>chilled</td><td>uptake</td><td>37.5</td></tr>\n",
       "\t<tr><th scope=row>119</th><td>Qc2</td><td>Quebec</td><td>chilled</td><td>uptake</td><td>42.4</td></tr>\n",
       "\t<tr><th scope=row>120</th><td>Qc3</td><td>Quebec</td><td>chilled</td><td>uptake</td><td>15.1</td></tr>\n",
       "\t<tr><th scope=row>121</th><td>Qc3</td><td>Quebec</td><td>chilled</td><td>uptake</td><td>21</td></tr>\n",
       "\t<tr><th scope=row>122</th><td>Qc3</td><td>Quebec</td><td>chilled</td><td>uptake</td><td>38.1</td></tr>\n",
       "\t<tr><th scope=row>123</th><td>Qc3</td><td>Quebec</td><td>chilled</td><td>uptake</td><td>34</td></tr>\n",
       "\t<tr><th scope=row>124</th><td>Qc3</td><td>Quebec</td><td>chilled</td><td>uptake</td><td>38.9</td></tr>\n",
       "\t<tr><th scope=row>125</th><td>Qc3</td><td>Quebec</td><td>chilled</td><td>uptake</td><td>39.6</td></tr>\n",
       "\t<tr><th scope=row>126</th><td>Qc3</td><td>Quebec</td><td>chilled</td><td>uptake</td><td>41.4</td></tr>\n",
       "\t<tr><th scope=row>127</th><td>Mn1</td><td>Mississippi</td><td>nonchilled</td><td>uptake</td><td>10.6</td></tr>\n",
       "\t<tr><th scope=row>128</th><td>Mn1</td><td>Mississippi</td><td>nonchilled</td><td>uptake</td><td>19.2</td></tr>\n",
       "\t<tr><th scope=row>129</th><td>Mn1</td><td>Mississippi</td><td>nonchilled</td><td>uptake</td><td>26.2</td></tr>\n",
       "\t<tr><th scope=row>130</th><td>Mn1</td><td>Mississippi</td><td>nonchilled</td><td>uptake</td><td>30</td></tr>\n",
       "\t<tr><th scope=row>131</th><td>Mn1</td><td>Mississippi</td><td>nonchilled</td><td>uptake</td><td>30.9</td></tr>\n",
       "\t<tr><th scope=row>132</th><td>Mn1</td><td>Mississippi</td><td>nonchilled</td><td>uptake</td><td>32.4</td></tr>\n",
       "\t<tr><th scope=row>133</th><td>Mn1</td><td>Mississippi</td><td>nonchilled</td><td>uptake</td><td>35.5</td></tr>\n",
       "\t<tr><th scope=row>134</th><td>Mn2</td><td>Mississippi</td><td>nonchilled</td><td>uptake</td><td>12</td></tr>\n",
       "\t<tr><th scope=row>135</th><td>Mn2</td><td>Mississippi</td><td>nonchilled</td><td>uptake</td><td>22</td></tr>\n",
       "\t<tr><th scope=row>136</th><td>Mn2</td><td>Mississippi</td><td>nonchilled</td><td>uptake</td><td>30.6</td></tr>\n",
       "\t<tr><th scope=row>137</th><td>Mn2</td><td>Mississippi</td><td>nonchilled</td><td>uptake</td><td>31.8</td></tr>\n",
       "\t<tr><th scope=row>138</th><td>Mn2</td><td>Mississippi</td><td>nonchilled</td><td>uptake</td><td>32.4</td></tr>\n",
       "\t<tr><th scope=row>139</th><td>Mn2</td><td>Mississippi</td><td>nonchilled</td><td>uptake</td><td>31.1</td></tr>\n",
       "\t<tr><th scope=row>140</th><td>Mn2</td><td>Mississippi</td><td>nonchilled</td><td>uptake</td><td>31.5</td></tr>\n",
       "\t<tr><th scope=row>141</th><td>Mn3</td><td>Mississippi</td><td>nonchilled</td><td>uptake</td><td>11.3</td></tr>\n",
       "\t<tr><th scope=row>142</th><td>Mn3</td><td>Mississippi</td><td>nonchilled</td><td>uptake</td><td>19.4</td></tr>\n",
       "\t<tr><th scope=row>143</th><td>Mn3</td><td>Mississippi</td><td>nonchilled</td><td>uptake</td><td>25.8</td></tr>\n",
       "\t<tr><th scope=row>144</th><td>Mn3</td><td>Mississippi</td><td>nonchilled</td><td>uptake</td><td>27.9</td></tr>\n",
       "\t<tr><th scope=row>145</th><td>Mn3</td><td>Mississippi</td><td>nonchilled</td><td>uptake</td><td>28.5</td></tr>\n",
       "\t<tr><th scope=row>146</th><td>Mn3</td><td>Mississippi</td><td>nonchilled</td><td>uptake</td><td>28.1</td></tr>\n",
       "\t<tr><th scope=row>147</th><td>Mn3</td><td>Mississippi</td><td>nonchilled</td><td>uptake</td><td>27.8</td></tr>\n",
       "\t<tr><th scope=row>148</th><td>Mc1</td><td>Mississippi</td><td>chilled</td><td>uptake</td><td>10.5</td></tr>\n",
       "\t<tr><th scope=row>149</th><td>Mc1</td><td>Mississippi</td><td>chilled</td><td>uptake</td><td>14.9</td></tr>\n",
       "\t<tr><th scope=row>150</th><td>Mc1</td><td>Mississippi</td><td>chilled</td><td>uptake</td><td>18.1</td></tr>\n",
       "\t<tr><th scope=row>151</th><td>Mc1</td><td>Mississippi</td><td>chilled</td><td>uptake</td><td>18.9</td></tr>\n",
       "\t<tr><th scope=row>152</th><td>Mc1</td><td>Mississippi</td><td>chilled</td><td>uptake</td><td>19.5</td></tr>\n",
       "\t<tr><th scope=row>153</th><td>Mc1</td><td>Mississippi</td><td>chilled</td><td>uptake</td><td>22.2</td></tr>\n",
       "\t<tr><th scope=row>154</th><td>Mc1</td><td>Mississippi</td><td>chilled</td><td>uptake</td><td>21.9</td></tr>\n",
       "\t<tr><th scope=row>155</th><td>Mc2</td><td>Mississippi</td><td>chilled</td><td>uptake</td><td>7.7</td></tr>\n",
       "\t<tr><th scope=row>156</th><td>Mc2</td><td>Mississippi</td><td>chilled</td><td>uptake</td><td>11.4</td></tr>\n",
       "\t<tr><th scope=row>157</th><td>Mc2</td><td>Mississippi</td><td>chilled</td><td>uptake</td><td>12.3</td></tr>\n",
       "\t<tr><th scope=row>158</th><td>Mc2</td><td>Mississippi</td><td>chilled</td><td>uptake</td><td>13</td></tr>\n",
       "\t<tr><th scope=row>159</th><td>Mc2</td><td>Mississippi</td><td>chilled</td><td>uptake</td><td>12.5</td></tr>\n",
       "\t<tr><th scope=row>160</th><td>Mc2</td><td>Mississippi</td><td>chilled</td><td>uptake</td><td>13.7</td></tr>\n",
       "\t<tr><th scope=row>161</th><td>Mc2</td><td>Mississippi</td><td>chilled</td><td>uptake</td><td>14.4</td></tr>\n",
       "\t<tr><th scope=row>162</th><td>Mc3</td><td>Mississippi</td><td>chilled</td><td>uptake</td><td>10.6</td></tr>\n",
       "\t<tr><th scope=row>163</th><td>Mc3</td><td>Mississippi</td><td>chilled</td><td>uptake</td><td>18</td></tr>\n",
       "\t<tr><th scope=row>164</th><td>Mc3</td><td>Mississippi</td><td>chilled</td><td>uptake</td><td>17.9</td></tr>\n",
       "\t<tr><th scope=row>165</th><td>Mc3</td><td>Mississippi</td><td>chilled</td><td>uptake</td><td>17.9</td></tr>\n",
       "\t<tr><th scope=row>166</th><td>Mc3</td><td>Mississippi</td><td>chilled</td><td>uptake</td><td>17.9</td></tr>\n",
       "\t<tr><th scope=row>167</th><td>Mc3</td><td>Mississippi</td><td>chilled</td><td>uptake</td><td>18.9</td></tr>\n",
       "\t<tr><th scope=row>168</th><td>Mc3</td><td>Mississippi</td><td>chilled</td><td>uptake</td><td>19.9</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|lllll}\n",
       "  & Plant & Type & Treatment & variable & value\\\\\n",
       "\\hline\n",
       "\t1 & Qn1 & Quebec & nonchilled & conc & 95\\\\\n",
       "\t2 & Qn1 & Quebec & nonchilled & conc & 175\\\\\n",
       "\t3 & Qn1 & Quebec & nonchilled & conc & 250\\\\\n",
       "\t4 & Qn1 & Quebec & nonchilled & conc & 350\\\\\n",
       "\t5 & Qn1 & Quebec & nonchilled & conc & 500\\\\\n",
       "\t6 & Qn1 & Quebec & nonchilled & conc & 675\\\\\n",
       "\t7 & Qn1 & Quebec & nonchilled & conc & 1000\\\\\n",
       "\t8 & Qn2 & Quebec & nonchilled & conc & 95\\\\\n",
       "\t9 & Qn2 & Quebec & nonchilled & conc & 175\\\\\n",
       "\t10 & Qn2 & Quebec & nonchilled & conc & 250\\\\\n",
       "\t11 & Qn2 & Quebec & nonchilled & conc & 350\\\\\n",
       "\t12 & Qn2 & Quebec & nonchilled & conc & 500\\\\\n",
       "\t13 & Qn2 & Quebec & nonchilled & conc & 675\\\\\n",
       "\t14 & Qn2 & Quebec & nonchilled & conc & 1000\\\\\n",
       "\t15 & Qn3 & Quebec & nonchilled & conc & 95\\\\\n",
       "\t16 & Qn3 & Quebec & nonchilled & conc & 175\\\\\n",
       "\t17 & Qn3 & Quebec & nonchilled & conc & 250\\\\\n",
       "\t18 & Qn3 & Quebec & nonchilled & conc & 350\\\\\n",
       "\t19 & Qn3 & Quebec & nonchilled & conc & 500\\\\\n",
       "\t20 & Qn3 & Quebec & nonchilled & conc & 675\\\\\n",
       "\t21 & Qn3 & Quebec & nonchilled & conc & 1000\\\\\n",
       "\t22 & Qc1 & Quebec & chilled & conc & 95\\\\\n",
       "\t23 & Qc1 & Quebec & chilled & conc & 175\\\\\n",
       "\t24 & Qc1 & Quebec & chilled & conc & 250\\\\\n",
       "\t25 & Qc1 & Quebec & chilled & conc & 350\\\\\n",
       "\t26 & Qc1 & Quebec & chilled & conc & 500\\\\\n",
       "\t27 & Qc1 & Quebec & chilled & conc & 675\\\\\n",
       "\t28 & Qc1 & Quebec & chilled & conc & 1000\\\\\n",
       "\t29 & Qc2 & Quebec & chilled & conc & 95\\\\\n",
       "\t30 & Qc2 & Quebec & chilled & conc & 175\\\\\n",
       "\t31 & Qc2 & Quebec & chilled & conc & 250\\\\\n",
       "\t32 & Qc2 & Quebec & chilled & conc & 350\\\\\n",
       "\t33 & Qc2 & Quebec & chilled & conc & 500\\\\\n",
       "\t34 & Qc2 & Quebec & chilled & conc & 675\\\\\n",
       "\t35 & Qc2 & Quebec & chilled & conc & 1000\\\\\n",
       "\t36 & Qc3 & Quebec & chilled & conc & 95\\\\\n",
       "\t37 & Qc3 & Quebec & chilled & conc & 175\\\\\n",
       "\t38 & Qc3 & Quebec & chilled & conc & 250\\\\\n",
       "\t39 & Qc3 & Quebec & chilled & conc & 350\\\\\n",
       "\t40 & Qc3 & Quebec & chilled & conc & 500\\\\\n",
       "\t41 & Qc3 & Quebec & chilled & conc & 675\\\\\n",
       "\t42 & Qc3 & Quebec & chilled & conc & 1000\\\\\n",
       "\t43 & Mn1 & Mississippi & nonchilled & conc & 95\\\\\n",
       "\t44 & Mn1 & Mississippi & nonchilled & conc & 175\\\\\n",
       "\t45 & Mn1 & Mississippi & nonchilled & conc & 250\\\\\n",
       "\t46 & Mn1 & Mississippi & nonchilled & conc & 350\\\\\n",
       "\t47 & Mn1 & Mississippi & nonchilled & conc & 500\\\\\n",
       "\t48 & Mn1 & Mississippi & nonchilled & conc & 675\\\\\n",
       "\t49 & Mn1 & Mississippi & nonchilled & conc & 1000\\\\\n",
       "\t50 & Mn2 & Mississippi & nonchilled & conc & 95\\\\\n",
       "\t51 & Mn2 & Mississippi & nonchilled & conc & 175\\\\\n",
       "\t52 & Mn2 & Mississippi & nonchilled & conc & 250\\\\\n",
       "\t53 & Mn2 & Mississippi & nonchilled & conc & 350\\\\\n",
       "\t54 & Mn2 & Mississippi & nonchilled & conc & 500\\\\\n",
       "\t55 & Mn2 & Mississippi & nonchilled & conc & 675\\\\\n",
       "\t56 & Mn2 & Mississippi & nonchilled & conc & 1000\\\\\n",
       "\t57 & Mn3 & Mississippi & nonchilled & conc & 95\\\\\n",
       "\t58 & Mn3 & Mississippi & nonchilled & conc & 175\\\\\n",
       "\t59 & Mn3 & Mississippi & nonchilled & conc & 250\\\\\n",
       "\t60 & Mn3 & Mississippi & nonchilled & conc & 350\\\\\n",
       "\t61 & Mn3 & Mississippi & nonchilled & conc & 500\\\\\n",
       "\t62 & Mn3 & Mississippi & nonchilled & conc & 675\\\\\n",
       "\t63 & Mn3 & Mississippi & nonchilled & conc & 1000\\\\\n",
       "\t64 & Mc1 & Mississippi & chilled & conc & 95\\\\\n",
       "\t65 & Mc1 & Mississippi & chilled & conc & 175\\\\\n",
       "\t66 & Mc1 & Mississippi & chilled & conc & 250\\\\\n",
       "\t67 & Mc1 & Mississippi & chilled & conc & 350\\\\\n",
       "\t68 & Mc1 & Mississippi & chilled & conc & 500\\\\\n",
       "\t69 & Mc1 & Mississippi & chilled & conc & 675\\\\\n",
       "\t70 & Mc1 & Mississippi & chilled & conc & 1000\\\\\n",
       "\t71 & Mc2 & Mississippi & chilled & conc & 95\\\\\n",
       "\t72 & Mc2 & Mississippi & chilled & conc & 175\\\\\n",
       "\t73 & Mc2 & Mississippi & chilled & conc & 250\\\\\n",
       "\t74 & Mc2 & Mississippi & chilled & conc & 350\\\\\n",
       "\t75 & Mc2 & Mississippi & chilled & conc & 500\\\\\n",
       "\t76 & Mc2 & Mississippi & chilled & conc & 675\\\\\n",
       "\t77 & Mc2 & Mississippi & chilled & conc & 1000\\\\\n",
       "\t78 & Mc3 & Mississippi & chilled & conc & 95\\\\\n",
       "\t79 & Mc3 & Mississippi & chilled & conc & 175\\\\\n",
       "\t80 & Mc3 & Mississippi & chilled & conc & 250\\\\\n",
       "\t81 & Mc3 & Mississippi & chilled & conc & 350\\\\\n",
       "\t82 & Mc3 & Mississippi & chilled & conc & 500\\\\\n",
       "\t83 & Mc3 & Mississippi & chilled & conc & 675\\\\\n",
       "\t84 & Mc3 & Mississippi & chilled & conc & 1000\\\\\n",
       "\t85 & Qn1 & Quebec & nonchilled & uptake & 16\\\\\n",
       "\t86 & Qn1 & Quebec & nonchilled & uptake & 30.4\\\\\n",
       "\t87 & Qn1 & Quebec & nonchilled & uptake & 34.8\\\\\n",
       "\t88 & Qn1 & Quebec & nonchilled & uptake & 37.2\\\\\n",
       "\t89 & Qn1 & Quebec & nonchilled & uptake & 35.3\\\\\n",
       "\t90 & Qn1 & Quebec & nonchilled & uptake & 39.2\\\\\n",
       "\t91 & Qn1 & Quebec & nonchilled & uptake & 39.7\\\\\n",
       "\t92 & Qn2 & Quebec & nonchilled & uptake & 13.6\\\\\n",
       "\t93 & Qn2 & Quebec & nonchilled & uptake & 27.3\\\\\n",
       "\t94 & Qn2 & Quebec & nonchilled & uptake & 37.1\\\\\n",
       "\t95 & Qn2 & Quebec & nonchilled & uptake & 41.8\\\\\n",
       "\t96 & Qn2 & Quebec & nonchilled & uptake & 40.6\\\\\n",
       "\t97 & Qn2 & Quebec & nonchilled & uptake & 41.4\\\\\n",
       "\t98 & Qn2 & Quebec & nonchilled & uptake & 44.3\\\\\n",
       "\t99 & Qn3 & Quebec & nonchilled & uptake & 16.2\\\\\n",
       "\t100 & Qn3 & Quebec & nonchilled & uptake & 32.4\\\\\n",
       "\t101 & Qn3 & Quebec & nonchilled & uptake & 40.3\\\\\n",
       "\t102 & Qn3 & Quebec & nonchilled & uptake & 42.1\\\\\n",
       "\t103 & Qn3 & Quebec & nonchilled & uptake & 42.9\\\\\n",
       "\t104 & Qn3 & Quebec & nonchilled & uptake & 43.9\\\\\n",
       "\t105 & Qn3 & Quebec & nonchilled & uptake & 45.5\\\\\n",
       "\t106 & Qc1 & Quebec & chilled & uptake & 14.2\\\\\n",
       "\t107 & Qc1 & Quebec & chilled & uptake & 24.1\\\\\n",
       "\t108 & Qc1 & Quebec & chilled & uptake & 30.3\\\\\n",
       "\t109 & Qc1 & Quebec & chilled & uptake & 34.6\\\\\n",
       "\t110 & Qc1 & Quebec & chilled & uptake & 32.5\\\\\n",
       "\t111 & Qc1 & Quebec & chilled & uptake & 35.4\\\\\n",
       "\t112 & Qc1 & Quebec & chilled & uptake & 38.7\\\\\n",
       "\t113 & Qc2 & Quebec & chilled & uptake & 9.3\\\\\n",
       "\t114 & Qc2 & Quebec & chilled & uptake & 27.3\\\\\n",
       "\t115 & Qc2 & Quebec & chilled & uptake & 35\\\\\n",
       "\t116 & Qc2 & Quebec & chilled & uptake & 38.8\\\\\n",
       "\t117 & Qc2 & Quebec & chilled & uptake & 38.6\\\\\n",
       "\t118 & Qc2 & Quebec & chilled & uptake & 37.5\\\\\n",
       "\t119 & Qc2 & Quebec & chilled & uptake & 42.4\\\\\n",
       "\t120 & Qc3 & Quebec & chilled & uptake & 15.1\\\\\n",
       "\t121 & Qc3 & Quebec & chilled & uptake & 21\\\\\n",
       "\t122 & Qc3 & Quebec & chilled & uptake & 38.1\\\\\n",
       "\t123 & Qc3 & Quebec & chilled & uptake & 34\\\\\n",
       "\t124 & Qc3 & Quebec & chilled & uptake & 38.9\\\\\n",
       "\t125 & Qc3 & Quebec & chilled & uptake & 39.6\\\\\n",
       "\t126 & Qc3 & Quebec & chilled & uptake & 41.4\\\\\n",
       "\t127 & Mn1 & Mississippi & nonchilled & uptake & 10.6\\\\\n",
       "\t128 & Mn1 & Mississippi & nonchilled & uptake & 19.2\\\\\n",
       "\t129 & Mn1 & Mississippi & nonchilled & uptake & 26.2\\\\\n",
       "\t130 & Mn1 & Mississippi & nonchilled & uptake & 30\\\\\n",
       "\t131 & Mn1 & Mississippi & nonchilled & uptake & 30.9\\\\\n",
       "\t132 & Mn1 & Mississippi & nonchilled & uptake & 32.4\\\\\n",
       "\t133 & Mn1 & Mississippi & nonchilled & uptake & 35.5\\\\\n",
       "\t134 & Mn2 & Mississippi & nonchilled & uptake & 12\\\\\n",
       "\t135 & Mn2 & Mississippi & nonchilled & uptake & 22\\\\\n",
       "\t136 & Mn2 & Mississippi & nonchilled & uptake & 30.6\\\\\n",
       "\t137 & Mn2 & Mississippi & nonchilled & uptake & 31.8\\\\\n",
       "\t138 & Mn2 & Mississippi & nonchilled & uptake & 32.4\\\\\n",
       "\t139 & Mn2 & Mississippi & nonchilled & uptake & 31.1\\\\\n",
       "\t140 & Mn2 & Mississippi & nonchilled & uptake & 31.5\\\\\n",
       "\t141 & Mn3 & Mississippi & nonchilled & uptake & 11.3\\\\\n",
       "\t142 & Mn3 & Mississippi & nonchilled & uptake & 19.4\\\\\n",
       "\t143 & Mn3 & Mississippi & nonchilled & uptake & 25.8\\\\\n",
       "\t144 & Mn3 & Mississippi & nonchilled & uptake & 27.9\\\\\n",
       "\t145 & Mn3 & Mississippi & nonchilled & uptake & 28.5\\\\\n",
       "\t146 & Mn3 & Mississippi & nonchilled & uptake & 28.1\\\\\n",
       "\t147 & Mn3 & Mississippi & nonchilled & uptake & 27.8\\\\\n",
       "\t148 & Mc1 & Mississippi & chilled & uptake & 10.5\\\\\n",
       "\t149 & Mc1 & Mississippi & chilled & uptake & 14.9\\\\\n",
       "\t150 & Mc1 & Mississippi & chilled & uptake & 18.1\\\\\n",
       "\t151 & Mc1 & Mississippi & chilled & uptake & 18.9\\\\\n",
       "\t152 & Mc1 & Mississippi & chilled & uptake & 19.5\\\\\n",
       "\t153 & Mc1 & Mississippi & chilled & uptake & 22.2\\\\\n",
       "\t154 & Mc1 & Mississippi & chilled & uptake & 21.9\\\\\n",
       "\t155 & Mc2 & Mississippi & chilled & uptake & 7.7\\\\\n",
       "\t156 & Mc2 & Mississippi & chilled & uptake & 11.4\\\\\n",
       "\t157 & Mc2 & Mississippi & chilled & uptake & 12.3\\\\\n",
       "\t158 & Mc2 & Mississippi & chilled & uptake & 13\\\\\n",
       "\t159 & Mc2 & Mississippi & chilled & uptake & 12.5\\\\\n",
       "\t160 & Mc2 & Mississippi & chilled & uptake & 13.7\\\\\n",
       "\t161 & Mc2 & Mississippi & chilled & uptake & 14.4\\\\\n",
       "\t162 & Mc3 & Mississippi & chilled & uptake & 10.6\\\\\n",
       "\t163 & Mc3 & Mississippi & chilled & uptake & 18\\\\\n",
       "\t164 & Mc3 & Mississippi & chilled & uptake & 17.9\\\\\n",
       "\t165 & Mc3 & Mississippi & chilled & uptake & 17.9\\\\\n",
       "\t166 & Mc3 & Mississippi & chilled & uptake & 17.9\\\\\n",
       "\t167 & Mc3 & Mississippi & chilled & uptake & 18.9\\\\\n",
       "\t168 & Mc3 & Mississippi & chilled & uptake & 19.9\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/plain": [
       "    Plant        Type  Treatment variable  value\n",
       "1     Qn1      Quebec nonchilled     conc   95.0\n",
       "2     Qn1      Quebec nonchilled     conc  175.0\n",
       "3     Qn1      Quebec nonchilled     conc  250.0\n",
       "4     Qn1      Quebec nonchilled     conc  350.0\n",
       "5     Qn1      Quebec nonchilled     conc  500.0\n",
       "6     Qn1      Quebec nonchilled     conc  675.0\n",
       "7     Qn1      Quebec nonchilled     conc 1000.0\n",
       "8     Qn2      Quebec nonchilled     conc   95.0\n",
       "9     Qn2      Quebec nonchilled     conc  175.0\n",
       "10    Qn2      Quebec nonchilled     conc  250.0\n",
       "11    Qn2      Quebec nonchilled     conc  350.0\n",
       "12    Qn2      Quebec nonchilled     conc  500.0\n",
       "13    Qn2      Quebec nonchilled     conc  675.0\n",
       "14    Qn2      Quebec nonchilled     conc 1000.0\n",
       "15    Qn3      Quebec nonchilled     conc   95.0\n",
       "16    Qn3      Quebec nonchilled     conc  175.0\n",
       "17    Qn3      Quebec nonchilled     conc  250.0\n",
       "18    Qn3      Quebec nonchilled     conc  350.0\n",
       "19    Qn3      Quebec nonchilled     conc  500.0\n",
       "20    Qn3      Quebec nonchilled     conc  675.0\n",
       "21    Qn3      Quebec nonchilled     conc 1000.0\n",
       "22    Qc1      Quebec    chilled     conc   95.0\n",
       "23    Qc1      Quebec    chilled     conc  175.0\n",
       "24    Qc1      Quebec    chilled     conc  250.0\n",
       "25    Qc1      Quebec    chilled     conc  350.0\n",
       "26    Qc1      Quebec    chilled     conc  500.0\n",
       "27    Qc1      Quebec    chilled     conc  675.0\n",
       "28    Qc1      Quebec    chilled     conc 1000.0\n",
       "29    Qc2      Quebec    chilled     conc   95.0\n",
       "30    Qc2      Quebec    chilled     conc  175.0\n",
       "31    Qc2      Quebec    chilled     conc  250.0\n",
       "32    Qc2      Quebec    chilled     conc  350.0\n",
       "33    Qc2      Quebec    chilled     conc  500.0\n",
       "34    Qc2      Quebec    chilled     conc  675.0\n",
       "35    Qc2      Quebec    chilled     conc 1000.0\n",
       "36    Qc3      Quebec    chilled     conc   95.0\n",
       "37    Qc3      Quebec    chilled     conc  175.0\n",
       "38    Qc3      Quebec    chilled     conc  250.0\n",
       "39    Qc3      Quebec    chilled     conc  350.0\n",
       "40    Qc3      Quebec    chilled     conc  500.0\n",
       "41    Qc3      Quebec    chilled     conc  675.0\n",
       "42    Qc3      Quebec    chilled     conc 1000.0\n",
       "43    Mn1 Mississippi nonchilled     conc   95.0\n",
       "44    Mn1 Mississippi nonchilled     conc  175.0\n",
       "45    Mn1 Mississippi nonchilled     conc  250.0\n",
       "46    Mn1 Mississippi nonchilled     conc  350.0\n",
       "47    Mn1 Mississippi nonchilled     conc  500.0\n",
       "48    Mn1 Mississippi nonchilled     conc  675.0\n",
       "49    Mn1 Mississippi nonchilled     conc 1000.0\n",
       "50    Mn2 Mississippi nonchilled     conc   95.0\n",
       "51    Mn2 Mississippi nonchilled     conc  175.0\n",
       "52    Mn2 Mississippi nonchilled     conc  250.0\n",
       "53    Mn2 Mississippi nonchilled     conc  350.0\n",
       "54    Mn2 Mississippi nonchilled     conc  500.0\n",
       "55    Mn2 Mississippi nonchilled     conc  675.0\n",
       "56    Mn2 Mississippi nonchilled     conc 1000.0\n",
       "57    Mn3 Mississippi nonchilled     conc   95.0\n",
       "58    Mn3 Mississippi nonchilled     conc  175.0\n",
       "59    Mn3 Mississippi nonchilled     conc  250.0\n",
       "60    Mn3 Mississippi nonchilled     conc  350.0\n",
       "61    Mn3 Mississippi nonchilled     conc  500.0\n",
       "62    Mn3 Mississippi nonchilled     conc  675.0\n",
       "63    Mn3 Mississippi nonchilled     conc 1000.0\n",
       "64    Mc1 Mississippi    chilled     conc   95.0\n",
       "65    Mc1 Mississippi    chilled     conc  175.0\n",
       "66    Mc1 Mississippi    chilled     conc  250.0\n",
       "67    Mc1 Mississippi    chilled     conc  350.0\n",
       "68    Mc1 Mississippi    chilled     conc  500.0\n",
       "69    Mc1 Mississippi    chilled     conc  675.0\n",
       "70    Mc1 Mississippi    chilled     conc 1000.0\n",
       "71    Mc2 Mississippi    chilled     conc   95.0\n",
       "72    Mc2 Mississippi    chilled     conc  175.0\n",
       "73    Mc2 Mississippi    chilled     conc  250.0\n",
       "74    Mc2 Mississippi    chilled     conc  350.0\n",
       "75    Mc2 Mississippi    chilled     conc  500.0\n",
       "76    Mc2 Mississippi    chilled     conc  675.0\n",
       "77    Mc2 Mississippi    chilled     conc 1000.0\n",
       "78    Mc3 Mississippi    chilled     conc   95.0\n",
       "79    Mc3 Mississippi    chilled     conc  175.0\n",
       "80    Mc3 Mississippi    chilled     conc  250.0\n",
       "81    Mc3 Mississippi    chilled     conc  350.0\n",
       "82    Mc3 Mississippi    chilled     conc  500.0\n",
       "83    Mc3 Mississippi    chilled     conc  675.0\n",
       "84    Mc3 Mississippi    chilled     conc 1000.0\n",
       "85    Qn1      Quebec nonchilled   uptake   16.0\n",
       "86    Qn1      Quebec nonchilled   uptake   30.4\n",
       "87    Qn1      Quebec nonchilled   uptake   34.8\n",
       "88    Qn1      Quebec nonchilled   uptake   37.2\n",
       "89    Qn1      Quebec nonchilled   uptake   35.3\n",
       "90    Qn1      Quebec nonchilled   uptake   39.2\n",
       "91    Qn1      Quebec nonchilled   uptake   39.7\n",
       "92    Qn2      Quebec nonchilled   uptake   13.6\n",
       "93    Qn2      Quebec nonchilled   uptake   27.3\n",
       "94    Qn2      Quebec nonchilled   uptake   37.1\n",
       "95    Qn2      Quebec nonchilled   uptake   41.8\n",
       "96    Qn2      Quebec nonchilled   uptake   40.6\n",
       "97    Qn2      Quebec nonchilled   uptake   41.4\n",
       "98    Qn2      Quebec nonchilled   uptake   44.3\n",
       "99    Qn3      Quebec nonchilled   uptake   16.2\n",
       "100   Qn3      Quebec nonchilled   uptake   32.4\n",
       "101   Qn3      Quebec nonchilled   uptake   40.3\n",
       "102   Qn3      Quebec nonchilled   uptake   42.1\n",
       "103   Qn3      Quebec nonchilled   uptake   42.9\n",
       "104   Qn3      Quebec nonchilled   uptake   43.9\n",
       "105   Qn3      Quebec nonchilled   uptake   45.5\n",
       "106   Qc1      Quebec    chilled   uptake   14.2\n",
       "107   Qc1      Quebec    chilled   uptake   24.1\n",
       "108   Qc1      Quebec    chilled   uptake   30.3\n",
       "109   Qc1      Quebec    chilled   uptake   34.6\n",
       "110   Qc1      Quebec    chilled   uptake   32.5\n",
       "111   Qc1      Quebec    chilled   uptake   35.4\n",
       "112   Qc1      Quebec    chilled   uptake   38.7\n",
       "113   Qc2      Quebec    chilled   uptake    9.3\n",
       "114   Qc2      Quebec    chilled   uptake   27.3\n",
       "115   Qc2      Quebec    chilled   uptake   35.0\n",
       "116   Qc2      Quebec    chilled   uptake   38.8\n",
       "117   Qc2      Quebec    chilled   uptake   38.6\n",
       "118   Qc2      Quebec    chilled   uptake   37.5\n",
       "119   Qc2      Quebec    chilled   uptake   42.4\n",
       "120   Qc3      Quebec    chilled   uptake   15.1\n",
       "121   Qc3      Quebec    chilled   uptake   21.0\n",
       "122   Qc3      Quebec    chilled   uptake   38.1\n",
       "123   Qc3      Quebec    chilled   uptake   34.0\n",
       "124   Qc3      Quebec    chilled   uptake   38.9\n",
       "125   Qc3      Quebec    chilled   uptake   39.6\n",
       "126   Qc3      Quebec    chilled   uptake   41.4\n",
       "127   Mn1 Mississippi nonchilled   uptake   10.6\n",
       "128   Mn1 Mississippi nonchilled   uptake   19.2\n",
       "129   Mn1 Mississippi nonchilled   uptake   26.2\n",
       "130   Mn1 Mississippi nonchilled   uptake   30.0\n",
       "131   Mn1 Mississippi nonchilled   uptake   30.9\n",
       "132   Mn1 Mississippi nonchilled   uptake   32.4\n",
       "133   Mn1 Mississippi nonchilled   uptake   35.5\n",
       "134   Mn2 Mississippi nonchilled   uptake   12.0\n",
       "135   Mn2 Mississippi nonchilled   uptake   22.0\n",
       "136   Mn2 Mississippi nonchilled   uptake   30.6\n",
       "137   Mn2 Mississippi nonchilled   uptake   31.8\n",
       "138   Mn2 Mississippi nonchilled   uptake   32.4\n",
       "139   Mn2 Mississippi nonchilled   uptake   31.1\n",
       "140   Mn2 Mississippi nonchilled   uptake   31.5\n",
       "141   Mn3 Mississippi nonchilled   uptake   11.3\n",
       "142   Mn3 Mississippi nonchilled   uptake   19.4\n",
       "143   Mn3 Mississippi nonchilled   uptake   25.8\n",
       "144   Mn3 Mississippi nonchilled   uptake   27.9\n",
       "145   Mn3 Mississippi nonchilled   uptake   28.5\n",
       "146   Mn3 Mississippi nonchilled   uptake   28.1\n",
       "147   Mn3 Mississippi nonchilled   uptake   27.8\n",
       "148   Mc1 Mississippi    chilled   uptake   10.5\n",
       "149   Mc1 Mississippi    chilled   uptake   14.9\n",
       "150   Mc1 Mississippi    chilled   uptake   18.1\n",
       "151   Mc1 Mississippi    chilled   uptake   18.9\n",
       "152   Mc1 Mississippi    chilled   uptake   19.5\n",
       "153   Mc1 Mississippi    chilled   uptake   22.2\n",
       "154   Mc1 Mississippi    chilled   uptake   21.9\n",
       "155   Mc2 Mississippi    chilled   uptake    7.7\n",
       "156   Mc2 Mississippi    chilled   uptake   11.4\n",
       "157   Mc2 Mississippi    chilled   uptake   12.3\n",
       "158   Mc2 Mississippi    chilled   uptake   13.0\n",
       "159   Mc2 Mississippi    chilled   uptake   12.5\n",
       "160   Mc2 Mississippi    chilled   uptake   13.7\n",
       "161   Mc2 Mississippi    chilled   uptake   14.4\n",
       "162   Mc3 Mississippi    chilled   uptake   10.6\n",
       "163   Mc3 Mississippi    chilled   uptake   18.0\n",
       "164   Mc3 Mississippi    chilled   uptake   17.9\n",
       "165   Mc3 Mississippi    chilled   uptake   17.9\n",
       "166   Mc3 Mississippi    chilled   uptake   17.9\n",
       "167   Mc3 Mississippi    chilled   uptake   18.9\n",
       "168   Mc3 Mississippi    chilled   uptake   19.9"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "CO2_gathered"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "p <- ggplot(\n",
    "    data = CO2_gathered,\n",
    "    mapping = aes(x = Treatment, y = value, color = Type)\n",
    ")\n",
    "p <- p +\n",
    "    geom_boxplot(fill = NA) +\n",
    "    geom_jitter()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can then split this plot further into grids with `facet_grid`. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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3r9PrNUiKapmtZblGn9NJFogmX9hdU9dp6/0Ni9+VC4YOkanTNCCMT3YcCLduLW95246JFhT38nGgVNfb9gjeslXnRk9vnCs+XCP/IYCAWwU8EyBVVFQ4F4p2MrCAKJZsKPDhw4fr85rBDt+3bkrl5eWtus3ZOmz5ZF3nLr744tgmWv5aK1a2pXwNHuzZDmsxik/2TE6NPhAcietmGP++2//P04smDSc0sKiTRi2DtRsepgMlWBeJ1iXVXmkaDB6ZH2yzb3S1jBdVlMs9W7ZqMNB2yfPK+ndr/bEAyenuOX68lNoDwo2hVl1vbKCG8NhxUhvQj7ML62uo3pxIloIa5xynDz77dZSuyrjGN98hk8VuWVhgGZ+i/oA0TpsmdXbh6MJyxueV/3VcDX2Yvmjp+2268Nr+Wn/MsRLqZB2erK0L9yT5TFlwdM6ggVKnzzXF7T6doi/V45sFFTWdzEOnVtqbM5UNlBJtYfPps7fWOhxLUS1ztP8AqdZW8X5xAVIoSUtTbBk3/61ubnVv1GNafJd2J88jR0mJtpL5qipbHQts/4mMHOm0PPf2ccD6sEwpKpQPmp93S7Qr1m0foTei2uQ1cUZeI4CA5wVcNUhDR5qjRo1ygqClS5e2zGaDNthJzp4jSvW+LTRhwgSJX96m2bNGI/Vgm6vJRgZrnDZdnBOvBplRbemw/+vPu0Aio8dkFcsPJ4yTkQX5YhdW+c0/pdpl7SeTxktxOxfxXQG4ZEiFnKndROxDVaDrtx+7yP/yyOFyVL/Srqwq+bzaglT7mat15QUStbqyH813ZFCF1F06P/kyLpgae76osNnE7G0UsomFhXLbuLb7WFRbzWqv+Kzui3qX3Cmn7pN2UaQ3QmwENJI3BMJTp0nDqac3HVvsuNJ8bAnpTZnQnKM7XYhh2lLwIx0JMvaZsr8Wcs/WbplfH52lx27d32v0s24tbVG98dHyebfPxmf1GNALx6tOV0CmZtTPfu1Vn5doSemHxwHneDdIaud/Jm25umvieBmm+2pisuDo3kPGS1Eu2CcWntcI5KCAZ1qQrJ/16aefLg8//LBM07vI1mJk35V05plnyuDBg52qS/X+hRdeKLfeeqsz+p2t43e/+512b26Qs88+OwervrnIerCvm3+l+DduaBpZSk8MjXphEx1YnnUmQ/Lz5OkZU+XlAwed7ymy1yeVDZDSXjrh+fXC7d91IAYLlBZp1498fa7p+AH9ZJR1l+mlFB43Xqq+dYsE9c68X+9+h4cMFbsQdfMQ37GiPzh5oqzXwTD2agvQJL1L67QeqVmyFNZWJKecOsqiv7pKwsNHiE1rv+tdsrUwLdMCNix7aNZsCa78QJ+di0p40iSJDBve5Wx9TD+nzx42Xf6pn91K7cY6rbhIjuiNmw5dzknfLRCtGCzV3/iWBO0zoIMyRPSY3Dh9hmh/8r7LRIa3ZF81Uf3Nf3UGpvAd2C8RPdeHJ09N6/FuhN5E+99Dp8mL+tzqP3R/C+l+e3T/UjmjfGCvnSsyzMrmEUCgEwKeCZCsLPYlr7fddpuce+65zoAMs2bNki9+8YstxUz1/jHHHCPWde766693nlmylqNbbrlFrBtTrqfImLFiP9merOXCgiL7SVearl357CdtSfvmNx754fNxadtOL6/YAtHztBtip5N2pW08ynvl7HT5cmRGu9AP6U9PU5neFDtvUBf2n55u0A3La5kbD5vlhpxkLg/agtjXBtbL4HQNiOyHhAACuSngygDJvp/o5ZdfblMjA7X70j333OM8N2SDLiQOrpDqfVvhVVddJfPnz3fWYc81kRBAAAEEEEAAAQQQQACBmIArA6RY5tr7mzhUd+J8qd63kX8IjhLVeI0AAggggAACCCCAAAKeGaSBqkIAAQQQQAABBBBAAAEE0i1AgJRuYdaPAAIIIIAAAggggAACnhEgQPJMVZFRBBBAAAEEEEAAAQQQSLcAAVK6hVk/AggggAACCCCAAAIIeEaAAMkzVUVGEUAAAQQQQAABBBBAIN0CBEjpFmb9CCCAAAIIIIAAAggg4BkBAiTPVBUZRQABBBBAAAEEEEAAgXQLECClW5j1I4AAAggggAACCCCAgGcECJA8U1VkFAEEEEAAAQQQQAABBNItQICUbmHWjwACCCCAAAIIIIAAAp4RIEDyTFWRUQQQQAABBBBAAAEEEEi3AAFSuoVZPwIIIIAAAggggAACCHhGgADJM1VFRhFAAAEEEEAAAQQQQCDdAgRI6RZm/QgggAACCCCAAAIIIOAZAQIkz1QVGUUAAQQQQAABBBBAAIF0CxAgpVuY9SOAAAIIIIAAAggggIBnBAiQPFNVZBQBBBBAAAEEEEAAAQTSLUCAlG5h1o8AAggggAACCCCAAAKeESBA8kxVkVEEEEAAAQQQQAABBBBItwABUrqFWT8CCCCAAAIIIIAAAgh4RoAAyTNVRUYRQAABBBBAAAEEEEAg3QIESOkWZv0IIIAAAggggAACCCDgGQECJM9UFRlFAAEEEEAAAQQQQACBdAsQIKVbmPUjgAACCCCAAAIIIICAZwQIkDxTVWQUAQQQQAABBBBAAAEE0i1AgJRuYdaPAAIIIIAAAggggAACnhEgQPJMVZFRBBBAAAEEEEAAAQQQSLcAAVK6hVk/AggggAACCCCAAAIIeEaAAMkzVUVGEUAAAQQQQAABBBBAIN0CBEjpFmb9CCCAAAIIIIAAAggg4BkBAiTPVBUZRQABBBBAAAEEEEAAgXQLECClW5j1I4AAAggggAACCCCAgGcECJA8U1VkFAEEEEAAAQQQQAABBNItQICUbmHWjwACCCCAAAIIIIAAAp4RIEDyTFWRUQQQQAABBBBAAAEEEEi3AAFSuoVZPwIIIIAAAggggAACCHhGgADJM1VFRhFAAAEEEEAAAQQQQCDdAgRI6RZm/QgggAACCCCAAAIIIOAZAQIkz1QVGUUAAQQQQAABBBBAAIF0CxAgpVuY9SOAAAIIIIAAAggggIBnBIKeyakLMlpaWuqCXJCFTgkUFDizFRYWini83vx+vxbBu/teXl7TYaa4uFhKS4o7VX3MhEB6BXzi9c9Vfn6+Q1RUVCQFzce79Jr1/tqL/QFnpcFg0NPHuN6XcfcaDxw44O4MkjsEekGAAKkLiOFwuAtzM2smBXyRqNipNxKJSDQL6s3L+140GnV2hUgkLF4uRyb3Z7bduwJNl+VRT++PdmyzZH+9+rkK6zHBkh0jvFoGpwD8QgCBrBMgQOpCldbW1nZhbmbNpEBeqMEJkBoaGqTRw/VWVlbmXAB5ed9rbGy6CKqrq5dany+TuwXbRsARKJWofq6i4uXPlbW6WKqvr5dQKOT877Vf9XV1TpYtOPJyXXjNnfwigEBqAZ5BSm3EHAgggAACCCCAAAIIIJAjAgRIOVLRFBMBBBBAAAEEEEAAAQRSCxAgpTZiDgQQQAABBBBAAAEEEMgRAQKkHKloiokAAggggAACCCCAAAKpBQiQUhsxBwIIIIAAAggggAACCOSIAAFSjlQ0xUQAAQQQQAABBBBAAIHUAgRIqY2YAwEEEEAAAQQQQAABBHJEgAApRyqaYiKAAAIIIIAAAggggEBqAQKk1EbMgQACCCCAAAIIIIAAAjkiQICUIxVNMRFAAAEEEEAAAQQQQCC1AAFSaiPmQAABBBBAAAEEEEAAgRwRIEDKkYqmmAgggAACCCCAAAIIIJBagAAptRFzIIAAAggggAACCCCAQI4IECDlSEVTTAQQQAABBBBAAAEEEEgtQICU2og5EEAAAQQQQAABBBBAIEcECJBypKIpJgIIIIAAAggggAACCKQWIEBKbcQcCCCAAAIIIIAAAgggkCMCBEg5UtEUEwEEEEAAAQQQQAABBFILECClNmIOBBBAAAEEEEAAAQQQyBEBAqQcqWiKiQACCCCAAAIIIIAAAqkFCJBSGzEHAggggAACCCCAAAII5IgAAVKOVDTFRAABBBBAAAEEEEAAgdQCBEipjZgDAQQQQAABBBBAAAEEckSAAClHKppiIoAAAggggAACCCCAQGoBAqTURsyBAAIIIIAAAggggAACOSJAgJQjFU0xEUAAAQQQQAABBBBAILUAAVJqI+ZAAAEEEEAAAQQQQACBHBEgQMqRiqaYCCCAAAIIIIAAAgggkFqAACm1EXMggAACCCCAAAIIIIBAjggQIOVIRVNMBBBAAAEEEEAAAQQQSC1AgJTaiDkQQAABBBBAAAEEEEAgRwQIkHKkoikmAggggAACCCCAAAIIpBYgQEptxBwIIIAAAggggAACCCCQIwIESDlS0RQTAQQQQAABBBBAAAEEUgsQIKU2Yg4EEEAAAQQQQAABBBDIEQECpBypaIqJAAIIIIAAAggggAACqQUIkFIbMQcCCCCAAAIIIIAAAgjkiAABUo5UNMVEAAEEEEAAAQQQQACB1AIESKmNmAMBBBBAAAEEEEAAAQRyRIAAKUcqmmIigAACCCCAAAIIIIBAagECpNRGzIEAAggggAACCCCAAAI5IhD0Sjl37twp77zzTtLsTpo0SSZOnCiVlZXy2muvtZnnpJNOkry8PGd6OByWxYsXy7Jly2Tq1KkyZ86cNvMzAQEEEEAAAQQQQAABBHJTwDMB0saNG+Whhx5qVUuNjY2yZ88eueGGG5wAacmSJXLHHXdIRUVFq/mOPfZYJ0Cy4Ojaa6+Vbdu2yQknnCBPPPGEWPB00003tZqfFwgggAACCCCAAAIIIJCbAp4JkI466ih56qmnWtXSXXfdJQsXLpR58+Y501etWiUzZsyQ++67r9V8sRcWEFVVVcnjjz8uJSUlsmHDBrn88stl7ty5MmXKlNhs/EUAAQQQQAABBBBAAIEcFfDsM0gWGP3xj3+UW2+9VQoLC53qswCpo0BnwYIFctpppznBkS0wduxYmTlzpjz33HM5Wv0UGwEEEEAAAQQQQAABBOIFPNOCFJ/p+vp6ufPOO+Xiiy92niOKvWcBUkFBgdx8882yYsUKmTZtmtP9buTIkc4s1rVuxIgRsdmdv/banm9KTNYKZS1MsTR69Gi5+uqrYy/563KBaFGRRDWPxcXF4hswwOW57Th7gUBABni4DPn5250C9uvXTwaUFHdcWN5FoA8EIj6fBAJ+T3+uYs/VlpaWSiQS6QO13t9EafOzwXl5+Z6ui96Xcfca9+7d6+4MkjsEekHAkwHSSy+9JLt375YLL7ywhcAGaNi+fbsMGzZMLrnkEucZI+uSd/3118sjjzzitDLZMv37929Zxv6x1ytXrmw1zV68/PLLrQaFsJamL37xi23mY4I7BUL5+VKvWcvXv3kaJHk5WYBkgZ5XUzDYdJixll4vl8Or/uS7rUCVTvL7/FmxP8Z6ULQtpfunFEXsNpZIMOjtY5z7pXs3hwRIvevJ2twp4MkAybrWnXjiiTJo0KAWVbuL9uSTT0p5eblzUWxvTJ8+Xa688kp54YUX5LzzzhO/3y82sEN8stf2PFJi+vGPfyx1dXUtk61lKllLU8sM/OMqgaAGzPmao4MHD0o4SQuhqzLbQWaGDBkiDQ0Nsn///g7mcvdbtbVNn6O9e/fIztoad2eW3OWEQFE06pwLvHxMt3Oe3XDYt2+fhEIhT9bbnuZjg51rvVwXnsQn0wgg0KGA5wIkG83ORqu79957WxXMp10mrPUoPk2YMEEGDx7sjFpn71vwZC1N8ckuoBOXs/eHDh0aP5vzv3XRI3lDwN/c5cS6ntjohV5PXi5DVC9GLYXD2VEXXt+XyH+TgO2VXv5cxbrVWRm8Wo5IpOnYbMcIr5aBzxMCCGSngOcGaXjjjTekrKxMZs2a1apG1q9f77QWbdq0qWW6BTS7du2S2DNIFjAtXbq05X37x74PKfZ+qzd4gQACCCCAAAIIIIAAAjkn4LkAyQZOGD9+fJuKGjdunPOc0QMPPOB0ObDg6P7775eBAwfKKaec4sxvzyw9//zzTlBkd6yefvppp/vS2Wef3WZ9TEAAAQQQQAABBBBAAIHcE/BcFztrKZo0aVLSmvrKV74it99+u1xwwQXO+9ZiZF3xYg+GH3PMMc7IdzZwg40AZC1Ht9xyi1hfbhICCCCAAAIIIIAAAggg4LkAKfHZo/gqnDp1qjz66KPOCHcWACUbGvmqq66S+fPnOw/vV1RUxC/O/wgggAACCCCAAAIIIJDjAp4LkDpTX6kCHxv6OdU8ndkO8yCAAAIIIIAAAggggEB2CXjuGaTs4qc0CCCAAAIIIIAAAggg4CYBAiQ31QZ5QQABBBBAAAEEEEAAgYwKECBllJ+NI4AAAggggAACCCCAgJsECJDcVBvkBQEEEEAAAQQQQAABBDIqQICUUX42jgACCCCAAAIIIIAAAm4SIEByU22QFwQQQAABBBBAAAEEEMioAAFSRvnZOAIIIIAAAggggAACCLhJgADJTbVBXhBAAAEEEEAAAQQQQCCjAgRIGeVn4wgggAACCCCAAAIIIOAmAQIkN9UGeUEAAQQQQAABBBBAAIGMChAgZZSfjSOAAAIIIIAAAggggICbBAiQ3FQb5AUBBBBAAAEEEEAAAQQyKkCAlFF+No4AAggggAACCCCAAAJuEiBAclNtkBcEEEAAAQQQQAABBBDIqAABUkb52TgCCCCAAAIIIIAAAgi4SYAAyU21QV4QQAABBBBAAAEEEEAgowIESBnlZ+MIIIAAAggggAACCCDgJoGgmzJDXhDoa4HN9fXy7N79sq+xUQ4pKpSzygdKgb+H9w0aGiTvnUXi37JFoqWl0jj7cIkMGdqpotVGIvKnPXvlg5paKc/Lkyv69ZOx+flJl/UdPKDbeVt8B/ZLpGKIhI44UqSwMOm8gZUfSHD1Kon6fBKePEXCEyclnc9NE61u/rxnn+wKhWSi1s25g8qlNBBwUxbJSx8L+Pbulbwl74ivslIiw4ZJaPYRIu18Pvoyawf0+PEn3Vc36T47XPMzd9BAqdDPL6lJoEGPa3/V4+zyrVtk4L59clZdjYyfOFFk1Og+JbLj/F+0nrboMXpkcz2VBdNzGRRYt1YCy5eJLxyWRj3ehqdNF9HjLwkBBLwhkJ4jgzfKTi5zXODZvfvk2+s2SlBPWqFoVPL070+37ZBfTjlEhuR37+LGgpXi++8VX3WViJ6MRS/o8198Qeo++SlpPOojHYpv15P2lStWy35drqE5Pz/X/PxwxjQ5ubB1kBRYtVKKfvWLpvXZdvQkn//836T2mi9IZOiwD7ejFyaFv/kfCS5f+uG0f74kocOPlPqLLv5wmsv+e37ffrl57QbxN9dNvv59SC0e1roZW1jgstySnb4QCL7/rhQ++oiI3cBo2ef/T2quvUGi5eV9kYWk21hRUyOfX7lGGiJR53Nr++oD27bLvZMmyJH9SpMuk0sT94Ya5TMrVsmOujppUJu8olJ5sKS/3PrSS3KufZanHtYnHO9VV8u1K9dKox5bY8f7+7dulwcnT5SZJcW9moeC3z8teW++3hQQ2bH8tVckPGGS1H72auec0KsbY2UIIJAWgR7eKk9LnlgpAmkX2KHByC0aHEV0SxaMRJv/7mwIadC0odvbL3ziMb27fVB8egFn9wrt7qFP11/49JPi27Onw/VasLZHW0ssP5bsJG75+8bS5bK1vsGZ5vzSC42i//ll0zZi27G/tbXO9A9nFD0xv+oERz4NlFp+dL15i9+W4KK34md1zf971eBf1SKsOTIDS2ZyoDEs31i73nnNr9wSsBajwt/+pmkfjt/nq6qk6LcaNGUohXW//PLq9VIdjrR8bm1frdNg6aY16/WvfYJzO31vwybZpi1rDRbY2g0PvWlkLdm3z54jOzdtlIvWrU47kB1HvqL1VKP1EX+8t9dfXr2u5TjTGxkJvrdE8t56wznuO8dc3bb9DaxbI/n/eLE3NsE6EECgDwRoQeoDZK9tIrj4HQmuWCaiB3avJv/u3U7W817XAOGD5W2K8c+yQRKsGCbhhO50dlG+sLJK6h7/rZRF7FUXkgZDgTWrncAo2VJFj/xKu9oNSfaWHPAH5O2J05wLiMQZrBa+umadjGvuPjd77Wq5UreV2MZlgZhouX+88G3ZXj7IWc3NryyQUUku0uyEvXnBy/Ljgcnzk5iHnrx+r7rGWfzuzVs71UXOutbZhWdiskvNlbV18uVV66Qo0Pf3dvwa8c4fOlimFffu3ebEcrr5tU8Dkvxn/yK+UFzA3gcZ9u3Rz3M7+3FAL7ILf/2w3g1I/ER0kDELsrS1t7CHwdW7hUWya/RE54I/cWu1jSFZ8qc/yonVlYlv9crrZSWl8rAew+qGDXdu8PTKSnt5JRH9HL944GDS41qe1uezI8fIhRogfXnqdPmWthinK9mNp71a58mSTb9BW5bK83p2OTRBuwF/fvhQyVu0MPm+asfshW9Jw8mnJssG0xBAwGUCPTsiuKwwZKd3BOwuV2Db1t5ZWYbXEtyoJ137SUhV0w+TyKB2ngvSu5u1+szOYOsm10vJghczbc+1rrhEZJL2UU+SLDBYoYGB/VgaoH34Q/o32eVgWPP+nrZULfI1Pavzr7VNwYmzYOIv7XLyrHZl66u04GDvXCj+46BecGUoDdSujLkcIAXWrJL8hW9mSL/9zeYti+tC2v5srd7xaUusf8niVtO6+qJ66HAJjhwvDUmejQtoq1L15s2St3FdV1fbqfn/97Aj5Pcji0T68DPcqYx1cqZGPVYd0OeAyhrqZau23G9t6LtjUXwW7VbMmxr49zjtE/nMsCFSpMdVvZeSPNXVJp/OVAQQcJ0AAZLrqsQNGdIuZ3ohWH3T192QmbTkYZIOghDdkbzLW4meuAd84Qap0r9dShoElfzXPWIXXokpqi1VdfMukPAhkxPfcl7312X7bdwqldo1p03S924dO1o+0r/peYaC8n5S9PYbbWazCQHN878fPUciRXrhpKl06QSJ6vNHTuuSM6Xpl+WnQvPyp5lT46a649+l2uL0rebuj4k5suc7Hpt2iOQntPwlztfbrz+oqZOvave+JLXT25ty9/qaAepPOU1CRx7VZ3kNrF8nhU894XRVStyoc6y68aaMPNsxVlsFQhu3JWbJeV2vx9CJn/ikVHXzecakK42bGHm3KSi8e0CpHDJ6VNw77vrXnqvck6T1JqDHtUP37ZXyQw5J+3HIulRfra1E7aVf6HNI3X3u1NZ5sx6v3tfjVlTLFBk3XqI6GIV1r45P1q0wMmpM/CT+RwABFwsQILm4cjKdtWhzN61M5yMd2z9+YFQmV9Zol61afWj3wy1Yu8uNo0eIf1BFty6G686dpxdy+rxR1Np9mlJU7y5Hhg+XxjlHNz1gHnsj7q+FYl+N+uXftb9+69OqSIl29Tu/oly77zcHbOMnSOPUaRLUVq74k7Btp+FjH5fhZWUta/afeZaIdjGM6sk6Fu7ZiVoCQcnTi9yRBe4b8MDy9Pvde2VRVXWrZwOsbm4YMUzGNwd/LYXsg3/a657TB5t25Sai2uLZl8eHRj0WhfWh98CmTa33eQ2U6884S6KD099VNFlF2NAQl9aF5PFde5yH/2Pz2IAvpw4cIGN1pL24w0vs7V7569MAzNJgNXDj5zhWyG+OGekMuPLhEVHHlNFj2tiqSjl722ZpuOjTac+/+Zyvo2D+WQfmiT3XaPmzejpHRxw8vIeDaRTEjs26zoaPnug8gxTVLoSxG1POPqDz1NvxmIQAAp4Q6PuO/J5gIZPZLmCjo9noRacPLJOmzmgiZRpg/OvYUfKpwRXdLn7jkXOk7tOXSKR/f2cdFrTYUMQ1n7+23eAotrF5GgTdPm6MDG7uC28nb0uTtZtcS3DUPHPdZVdI6OhjnZY+mxQtKJT608+UBv2JTza8eM211+uQyMOdyXaijowcKTXaQpbJkb/i85js/3smjZdPqEfswmNgMCDfGjNKLtcuLKTcFKj97Od19MUjxD5TliJFxVJ/3vkS0gvSTKabRo2Qfxk+REqaWzUL9WG1y4ZUyG36WSaJnKbH2DsnjJWhzT5BDRzO2LxRfrPyPQldq8ehQU3PS6bb6hY9tl+hzxBa/Viyv1fq62/rcaU3U1SP/dXX3yjhseNagmMbWbTGRhgdMbI3N8W6EEAgjQJ6g0PbhEmdEti2LXlXik4t7KGZin/8n+LftUuqvnenh3Ld/ayG9IRdrT8D9MIrMRDp/lp1SR1swHlwvPnCoCvrqtEWH7uQOPrdZXJU1UF56MSPJl9c5xHr0metKnF3MZPOXG9d//TiwIWtRknzqxPtIW/7bqiS5ovi9uZL93QbIvgK7Sp0qV74fn107l7k2AAuRY/9RurO1cDk+BPSzZ58/dZ1yT5bndnnk68hLVPtVFqpebPv6rIbMOlO9y54VX5eVCKPDOwvMyaMT/fmemX91epToINXBH16bzZD319lx5SDmo/+vVhPn/tgtdPi/cbhh7bu/quDQziDi3jomNuZig6r354Uo7J2Zj1dmWfWrFldmZ15EeixAF3sekzICrwukKcBTFk3gpiU5e7BSbFYT972fR0pk+W7s6OqaSuT15JdaGY6OPKaWdbn14Llzu7zfYhhN1f6N3d768PNempTzmfZ6i+DyY4p6fpy2DbF6srIim0WZgICCGRSgC52mdRn2wgggAACCCCAAAIIIOAqAQIkV1UHmUEAAQQQQAABBBBAAIFMChAgZVKfbSOAAAIIIIAAAggggICrBAiQXFUdZAYBBBBAAAEEEEAAAQQyKUCAlEl9to0AAggggAACCCCAAAKuEiBAclV1kBkEEEAAAQQQQAABBBDIpAABUib12TYCCCCAAAIIIIAAAgi4SoAAyVXVQWYQQAABBBBAAAEEEEAgkwIESJnUZ9sIIIAAAggggAACCCDgKgECJFdVB5lBAAEEEEAAAQQQQACBTAoQIGVSn20jgAACCCCAAAIIIICAqwQIkFxVHWQGAQQQQAABBBBAAAEEMilAgJRJfbaNAAIIIIAAAggggAACrhIIuio3Ls/MkCFDXJ7D3sleXTAoUZ9PcqW8vaPW+2sJhULNK6Uuel+3a2scuP+As0BxcXFOfy4a+/cX2yv79SuVYI4cD7u2p/Td3H6/r2mfLMntfbLvxNvfUt66jfpmtQwePEQKAtl/33nbtm3tY/AOAlkiQIDUhYrcuXNnF+b27qzFjY3ij0YlV8rr1ppq1HpoStRFputoX3W1k4Wampqc/lwEDx6UIpWorKySUI4cDzO977W3/Ugk2rRPVuf2PtmeT19ODzU0OJvbtWun5PuzP0DqS1u2hUCmBPgkZ0qe7SKAAAIIIIAAAggggIDrBAiQXFclZAgBBBBAAAEEEEAAAQQyJUCAlCl5tosAAggggAACCCCAAAKuEyBAcl2VkCEEEEAAAQQQQAABBBDIlAABUqbk2S4CCCCAAAIIIIAAAgi4ToAAyXVVQoYQQAABBBBAAAEEEEAgUwIESJmSZ7sIIIAAAggggAACCCDgOgECJNdVCRlCAAEEEEAAAQQQQACBTAkQIGVKnu0igAACCCCAAAIIIICA6wQIkFxXJWQIAQQQQAABBBBAAAEEMiVAgJQpebaLAAIIIIAAAggggAACrhMgQHJdlZAhBBBAAAEEEEAAAQQQyJQAAVKm5NkuAggggAACCCCAAAIIuE6AAMl1VUKGEEAAAQQQQAABBBBAIFMCwUxtmO0igAACCCCAAAIIZK/AgQMHZPny5bJv3z4ZM2aMTJgwQYqKirK3wJQsawQIkLKmKikIAggggAACCCDgDoG//e1vcu+990pdXZ2UlpZKZWWllJSUyPe+9z059NBD3ZFJcoFAOwIESO3AMBkBBBBAAAEEEECg6wKbNm2Su+++W6677jqZO3euBINBaWhokMcff1y+8Y1vyJNPPukETV1fM0sg0DcCPIPUN85sBQEEEEAAAQQQyAmBxYsXy8SJE2XevHlOcGSFzs/Pl8suu0wqKirk3XffzQkHCuldAQIk79YdOUcAAQQQQAABBFwn0K9fP6c7XWLG/H6/DBo0SHw+X+JbvEbAVQIESK6qDjKDAAIIIIAAAgh4W+DYY4+VDz74QH7961+LDdRgybrY/fSnP5XVq1fLkUce6e0CkvusFyBAyvoqpoAIIIAAAggggEDfCRQUFMhtt90mb7zxhrz++uvOhhsbG+Xtt9+WO+64w+lu13e5YUsIdF2AQRq6bsYSCCCAAAIIIIAAAh0IzJ49W/7t3/5NFi1aJI8++qgMGzZMbr/9dhkyZEgHS/EWAu4QIEByRz2QCwQQQAABBBBAIGsEnnnmGXnggQckFArJ4MGDZdeuXVJYWChf/vKX5dRTT82aclKQ7BQgQMrOeqVUCCCAAAIIIIBARgQ2btwo9913n1x99dVOMGQDM+zcuVP+8pe/yF133SWzZs1ygqaMZI6NItAJAZ5B6gQSsyCAAAIIIIAAAgh0TmDJkiUyYcIE+fSnP+2MWmdLWde6K664wnnNMN+dc2SuzAkQIGXOni0jgAACCCCAAAJZJxAIBJzudIkFs2G+bQCHaDSa+BavEXCVAAGSq6qDzCCAAAIIIIAAAt4WsAEa3n//fXnuueekvr7eKUxdXZ3Yc0mbNm2S6dOne7uA5D7rBXgGKeurmAIigAACCCCAAAJ9JzBixAi54YYb5Ac/+IHzzJF1t1u7dq2Ew2G55pprxN4nIeBmAQIkN9cOeUMAAQQQQAABBDwocP7558uMGTNkxYoVYoM2nHDCCXL00Uc7zyZ5sDhkOccECJByrMIpLgIIIIAAAgggkE6BSCQi9sWwY8eOdX7it9XQ0CDBYFDseSQSAm4VIEBya82QLwQQQAABBBBAwIMCL7/8svz7v/97uzm3rndHHnlku+/zBgKZFiBAynQNsH0EEEAAAQQQQCCLBOx7jn70ox+1KtH+/fvl73//uxQVFcmhhx7a6j1eIOA2AQIkt9UI+UEAAQQQQAABBDwsUFZWJjaSXWI67rjj5KKLLpL169fL5MmTE9/mNQKuEaADqGuqgowggAACCCCAAALZK5Cfny/jx4+XNWvWZG8hKVlWCNCClBXVSCEQQAABBBBAAAF3CNTW1srevXtbZcYGZ1i2bJksX75cPvOZz7R6jxcIuE2AAMltNUJ+EEAAAQQQQAABDwu8+eabSQdp8Pl8ctZZZ4k9o0RCwM0CBEhurh3yhgACCCCAAAIIeEzgIx/5iPzyl79slWsb1rt///5SWlraajovEHCjAM8gubFWyBMCCCCAAAIIIOBRARupbtSoUdKvXz/ZvHmzvPfee7Jv3z4JBAIeLRHZzjUBWpByrcYpLwIIIIAAAgggkGaBv/3tb3LvvfdKXV2d02pUWVkpJSUl8r3vfY9hvtNsz+p7LkCA1HND1oAAAggggAACCCDQLLBp0ya5++675brrrpO5c+dKMBgUG6Th8ccfl2984xvy5JNP0tWOvcXVAnSxc3X1kDkEEEAAAQQQQMBbAosXL5aJEyfKvHnznODIcm9DfF922WVSUVEh7777rrcKRG5zToAAKeeqnAIjgAACCCCAAALpE7Bnj6w7XWKygRoGDRokNpodCQE3C3iqi531X33ttdfaeJ500kmSl5fnTLd5XnnlFbG/Rx99tIwZM6bV/OFwWOzOho3FP3XqVJkzZ06r93mBAAIIIIAAAggg0H2BY4891uli9+tf/9ppRRowYIDTxc5Gtlu9erUceeSR3V85SyLQBwKeCpCWLFkid9xxh9M8G29jH0QLkNatWydXX321TJgwQUaOHCkPPvig8zDgMccc48xuwdG1114r27ZtkxNOOEGeeOIJseDqpptuil9dTv/v37Be/Lt3izQ2Ssl/3Cahoz4iDaecJtpGnn6XaFTyFvxT8he8LL7KgyIB3WYkLBsGDJQ7jjlBXi/tL0G9+/Txsv5y48gRUp7XtTxt0/7P/7lpq7x6sNIpy3H9+8lXR4+Q4drsT8oegde0fn+yeausrauXfjpi0icHD5LPDR8qedyx9FQlP7Vrj/x6x07ZFQrJCP2MXjN8mJxeXuapMmQys3YMLfjzHyW4fJkeRyMSnjBR6s6ZJ9HBg3uWLT2P5v/9ecl783Xx6ZeBRoYMlfqz5kr4kMkdrjfvrTck/8UXxHfggER1qOeGj58soaOP7XCZdL65oqZGzwfb5P2aain0+eVM3bduGDlcSjo5ytrWej2fbN4irx2sknr1tbSjISSjCwvSmW3PrLugoEBuu+02eeihh2To0KFyxhln6GVFo7z99tvOdZx1tyMh4GaBrl1hZrgkq1atkhkzZsh9992XNCff//735bzzzpMbb7zRab791a9+5dzBeOyxx5zXFhBVVVU5Dwla0++GDRvk8ssvdx4gnDJlStJ15tLEwOpVUvTzn4pooGKN3z5thcv/50sSWL9Oav/lOp2Q3ibxgt8/LXkL3xKfBkVOijTIxpJSmfexU6VOT1phzZfoyfkve/fJm3pSemLGFOcCuDN1ZBdZlyxbKVW6fPPa5aX9B2RhZZU8qesZ3NwC2Zl1MY97BZ7ft1++uXaDNF2uiOzRE/LD23fKcr0Y+smkCe7NODlrJXDXpi3y2127pVE/8pYs2P3Wug2yWz/Hlw7t4QV+0yqz+7fu78X/dY/49Hzna754D6z8QEr+626pvvEmiQ6q6Hb5C3/9sAT1XOHTY6kl/9YtUvSLh6Ru/pXSOGNm0vXmP/e3puCoOS8+He654Jnfi/1tOPPspMukc+LS6hr5zAernXOK7WJ1elZ4evdeWVRVLb+Zeojk6Y24jtJODYQuXr5SauLOJzb/FR+skqenT9Gbd009WjpaRy68N3v2bOd6rb6+3ilucXGx/Pd//zfd63Kh8rOgjB0fBVxWQAuQ2gtk9uzZI8uXL3eacmN9W8855xzZunWr053OirJgwQI57bTTWvrFjh07VmbOnCnPPfdcm5JG7I6bHfyaf+x1tqfCPzzdEhzFymonwYC2KgWXLY1NSstf/86dYncYW4Kj5q38aObhTcFR3AnLLprswvfRHbs6nZefbd0h1QknMzu92zR7j+R9gagG0Hds3NwSHMVKFNLprx6odILh2DT+ulfA7sw/svPD4CiWUzsC37Nlm3OTIzaNv8kF8l/RVvjq6pbgyOby2Q0mPW4WPPuX5At1YqrdRAuuWtkSHDnrbV53we+fcs4fiavxVemNtr8/3yovznJ6Ts3/x4viO3ggcZG0v/5/GoDbDbfm+NvZnh0n1msg/ie9AZcqPbB1u9TqjbzYzbbY/HYD7hd6Q4bUWsBak2Ipdn0We81fBNwq4LkWJPug3XzzzbJixQqZNm2a3HDDDU53uu3btzvGI0aMaLG2BwGtGXenXnxby5N1rYt/32a01/Z+Yrr00kvlnXfeaZlsgdTTT2sAkaUpqnccq61rXZJk7Ub9d+6QglO1q12aUuiDFVJvd920G1x8en3IMAnHBUex9+xktlBPZt8dPjw2qcO/C1esksYkc9i0hdpNZHgn15NkFWmbFNK75bLEAlOfK/OXtoJ3c8UbdR/e15h4ydK0soDuQ3rPW87tZj1v1ZYpkdXOzRU37ivdJOvyYiFtTbZ7wf0H9Jf8blqm2ugr2j2yQOurrp2bUjsKi+SQikGpVpP17/sDTfc3S/uVtjk+1Gg9RfRiPTFZa1Kevjewm3XX8Pqr0mDH4yR149fWqqEF+eJPaJ1qXLxNb3LppUajHs8Skk+7bldoV8DglKkJ76Tvpd1IeX/RklbBUWxrdl55LxSWL6TwWai9EWKtm7Fl7a9NW1hT16Y+4ufJhv/ti19JCGS7gGcCJBt0wYKgYcOGySWXXOI8Q/TUU0/J9ddfL4888ogT/FjwFH+nwirPRlKxb2+2vq+7NQDor32f45O9XrlyZfwk538bwMFGW4kle67JxvDP1hRNcjJtKat2rQtrF7d0lj9sJ3s9OSWmglh3u8Q39HWh5quzeSqMq8vEVdl7nV1P4rLpfB0KfRjSuTF/6Sx7d9YdCLffymtBfp5eEnXXsdGCVU120dnddTgr8PivsB5HLYU1EE2XQzAaSXrxatu1dwJ6cZ6ubds2PJOaj5fWyyHRI9rR8x16Iypx/s6W2c4DHXW1tk+JL+E8GdHne0TrNGnSMjT6AxJJWCbpvL04MejXc0ek7fnGzviFerBI5VPU4fmk8+elXiwSq0IAgV4W8EyAVFpa6nyxWHl5udMqZA7Tp0+XK6+8Ul544QUpKytzgqBEHzt5WL/XgB7YLeCxQCk+2etkQ1F+97vfjZ/N+d9aoLI5FY2f4Dxv5HTFiCuoBU+V+l5EuzGmK/mGjZASvfBJfMrp7E3r5deTpkrITsxxKagzntyvRKxrZWfS6TogwyrtX253COOTPbhv73V2PfHLpvv/D/fVqCvzl+7yd3X9dnEzpahQVtXWtelm16D71hwd1KO79XxAuytZqtVvhO/uOpwVePxXUFsJirQM1eoR6uRnr6tFnqZBkN3lT5Zs0I2R2hKRy3UQc4k0X+DX1tS28cibPlMKtFU+9vxRbJmo+jUcOksqu1l3/rHjpVjPmYnH6ageRyPaG6NSn83RzMQ21/R3YLmU5uVrt7za1tP1leVnn/b0aLNMmzl7d8KJ2gL64r4DSXsVHK/HkFT712kDSmWdtlgnnk+C6nCaS88nvSvI2hDIfgG7pvBEsn6r1noUP/KJteoM1hF5LHCxLx6zYKhGD1rx6eDBg05zty1vwZW1RMUne9/WS9IHVS+8SKJFRS13b+0SxU58DR/7uERGj0krUVQD4LpP6vZ1e/Zjybb/xWXvyviqg5KndRtLFhx9RFsGzxtUHpuU8u+lQypkZkmx2Aksluz/GRo823uk7BD4j/FjpVhbI2Mj1tkBzmr8yzo61djCwuwoZJaXor92u/ruuNFidRe7LWJ38uzz+n2t31jdZjlDj4oXOvIoaZw8RaJ6UzAWalowYiPONZxyarfXHRkyROrPOMtZZ8txWterXTek7tOXJl+vtljVXjpf8xJw8mMzOfnSvNVefJl+e+iHz6ckX0HvT/3m6JFSofmK35dsf7NzyvEaPKVKlw8dIlOLi1otb8scpueYizifpOLjfQQ8IWDnHU+k9evXy3e+8x1n2O7Ro0c7ebbAaNeuXc4zSKNGjXK+rXnp0qUt321kgzbY4Aqx544soLL3586d21Jm+z6kCy+8sOV1Lv9jIxvVfPWbUnzX/7NbxNI4a7aEjjhKwn3UP7zxiCOlRoPVvDded4Yat0do7ZL2iR2b5bGBM2VBaT/nhHTywAFydvlA8ccFO6nqzUYl+unkifLnPfvknwd0CHFNH9MT4dxBA1sFTanWw/vuFpiod3+fmTFVHtOH/JfqnfXB2mo0r6JcDtcAnOQdgbP08z1eh0t+Yuce2dRQL5P0uaOL9cJzLEMod64S9XhXd8VnJfjuEgkufc8Z/TOsAZN9bUNPv7Ih9PGTJTJmrAQXvSV+HVI/rOfj0HHHS1SPz+0l23b1TV+T/NdfE78+zxoZPEQajjlWhxwf0t4iaZ0+SIOjp3T00id1KPk3dSTTfnpT5Uzd504qG9Cp7dozcj+fMkn+uGevvLz/oCzW3gn79SbevZPGtwmaOrVCZkIAAdcJeCZAGjdunBTqHeAHHnhAvva1r0mddnW5//77ZeDAgXLKKac43ehOP/10efjhh53BG4J6F/JnP/uZnHnmmU4rk8lbIHTrrbeKjW5nAzz87ne/c/oan3123w8z6ro9oTlDUR3+3L6jwqfDctZdMr/PsxkZMVLqL/hkm+1+WqfYT0+S3YG2i2X7IWWvgA2x+wVtMSJ5W2Cqtu7eOq7Y24XIZO71Ir5x9uHOT29nw75TyX66kqIVg6X+nPO6skha57XvO/rMsCHOT3c2ZK1Pn9DBQuznczpkuA0RHujCTbvubJNlEECg7wQ8EyAZyVe+8hW5/fbb5YILLnCErEXo3nvvdYIjm2BfAmtfTHbuuec6gzXMmjVLvvjFLzrz2i/7wtiLL77YGdjBvljWvkz2lltuEXu+iYQAAggggAACCCCAAAIIeCpAspHlHn30UWc0OgtwBgxo3RxurUn33HOP2HNFNihDssEXrrrqKpk/f74zjz23REIAAQQQQAABBBBAAAEEYgKeCpBimU4V2CQO5R1bLvbXBnpItY7YvPxFAAEEEEAAAQQQQACB3BHwzCh2uVMllBQBBBBAAAEEEEAAAQQyJUCAlCl5tosAAggggAACCCCAAAKuEyBAcl2VkCEEEEAAAQQQQAABBBDIlAABUqbk2S4CCCCAAAIIIIAAAgi4ToAAyXVVQoYQQAABBBBAAAFAdPh4AABAAElEQVQEEEAgUwIESJmSZ7sIIIAAAggggAACCCDgOgECJNdVCRlCAAEEEEAAAQQQQACBTAkQIGVKnu0igAACCCCAAAIIIICA6wQIkFxXJWQIAQQQQAABBBBAAAEEMiVAgJQpebaLAAIIIIAAAggggAACrhMgQHJdlZAhBBBAAAEEEEAAAQQQyJQAAVKm5NkuAggggAACCCCAAAIIuE6AAMl1VUKGEEAAAQQQQAABBBBAIFMCBEiZkme7CCCAAAIIIIAAAggg4DoBAiTXVQkZQgABBBBAAAEEEEAAgUwJECBlSp7tIoAAAggggAACCCCAgOsECJBcVyVkCAEEEEAAAQQQQAABBDIlQICUKXm2iwACCCCAAAIIIIAAAq4TIEByXZWQIQQQQAABBBBAAAEEEMiUAAFSpuTZLgIIIIAAAggggAACCLhOgADJdVVChhBAAAEEEEAAAQQQQCBTAgRImZJnuwgggAACCCCAAAIIIOA6AQIk11UJGUIAAQQQQAABBBBAAIFMCRAgZUqe7SKAAAIIIIAAAggggIDrBAiQXFclZAgBBBBAAAEEEEAAAQQyJUCAlCl5tosAAggggAACCCCAAAKuEyBAcl2VkCEEEEAAAQQQQAABBBDIlAABUqbk2S4CCCCAAAIIIIAAAgi4ToAAyXVVQoYQQAABBBBAAAEEEEAgUwIESJmSZ7sIIIAAAggggAACCCDgOgECJNdVCRlCAAEEEEAAAQQQQACBTAkQIGVKnu0igAACCCCAAAIIIICA6wQIkFxXJWQIAQQQQAABBBBAAAEEMiVAgJQpebaLAAIIIIAAAggggAACrhMgQHJdlZAhBBBAAAEEEEAAAQQQyJQAAVKm5NkuAggggAACCCCAAAIIuE6AAMl1VUKGEEAAAQQQQAABBBBAIFMCBEiZkme7CCCAAAIIIIAAAggg4DoBAiTXVQkZQgABBBBAAAEEEEAAgUwJBDO1YS9uNz8/34vZ7nKefT6fiP7kSnm7DNRHC/j9H96/oC76CL2dzeTVNzjvBAKBnP5c+INNp4xAMCC+HDketrNLZH6yHqYtBQL+nN4nmxQy+9vXfKy243R+3HE7s7lK39Zra2vTt3LWjIBLBAiQulARRUVFXZjbu7NGfE0X5rlSXrfWVKixsTlrPqEuMltLBQ0hJwPBQDCn6yKanydRlcjPyxNfjhwPM7vntb9150aWvp2ndcHxoX2nvngndjOrUD8TBQRIfUHONhBIuwABUheIDxw40IW5vTtrcSQs/mhUcqW8bq2pxpYAibrIdB1VVVc7WahvqM/pz0WwplbsNlFtbZ2EcuR4mOl9r73tRyMWqorU1eX2PtmeT19ODzcfqw/qZyIXWpD60pZtIZApgQ/78GQqB2wXAQQQQAABBBBAAAEEEHCJAAGSSyqCbCCAAAIIIIAAAggggEDmBQiQMl8H5AABBBBAAAEEEEAAAQRcIkCA5JKKIBsIIIAAAggggAACCCCQeQEGach8Hbg2B//Yf0B+smWbbNCHgPvr8L6frCiXawqCUvqn/5XgmtXOUOCNU6dJ/dzzJDpggGvLEcuY78B+KbC8f7BCJBKR8MRJUnfu+RKtqIjN0ut//7xnnzy4bbts0WGiB+UF5bIhg+XyoYPFb0Opd5AadZCMB7fvdOZYWNJPLnh/hdwwcpicMrBM8l59RfJfekF8Bw9KtH9/aTjxJAkd/9EO1sZbCPRcYL8+iH5X2CfPX3CxNOhofjNXrJKvjx4pM0qKO7XyVw4clHv0eLJOB3go1eHSz9fjyRdGDHMeat+n675701b5ux5zQrrvzyot0XWPkEO6OlKeDj9c8Oc/St67S0QaQxIeOUrqz50nkTFjO5VHN87k37ZVCv74jAQ2brAxvSU081CpP/tcN2a1U3ny7dfj8B//0HQc1roOT5iodXS+RIYM6dTyzIQAAgj0hUDgu5r6YkPZsI2qqqpsKEbKMuS98Zr8sXywfK2on+xtDDvD+tZpQPFeVbWs1OBi3juLxBcOOz/+Xbsk7+1F0njUHB37173fE+XTuiv+8V0S2LpFfHox5tPy+PbukfxFb0lo1uGi4+SmdOnqDI/s2Cl3btwi+9XKxpuq0W0uVMOdoZCcWNZxQPn1tRvkmb37JGIb1WDK1vH8vgMySv1nPfsn8dfViYVYvvp6CazWYFVfhydPsblJaRCwOvv97r1yqAYDxw/on4YtuHuVtbrvXrpspSzW/bDBH5Co7pNm8r979soJGqQP1uG/O0p/1333pjXrZY9+9uyzUK8Xxst0RLx39PNwin4WLlm+UpboSIE2Pazvb29okD+o90ll/aVch7HuVNJ1F9/7YwmuW6Of8ZD4dF2+gwckb9FCaZx0iETLyjq1GjfNZMGRlcm/b2/TMUv9/Tt3aAC4WN4cPkoWFhTKJ4oKZMjAgW7Kdrt5aToO/6cEtm1rOodYHWnZ8uw4fNgskeLOBdvtbiBDb9jnYJt+FcDnhw+VQIqbXxnKYq9uNqr11tffhTRs2LBeLQMrQyCVgJ5DdE8ndUpgmx7UcyEV/Pg/5ZiPfFQO5he0KW5AL5Qe+cdzMmd3U+uGzeDsQHpn080BkugFl+jFRWK7TbryXq0ec04/T0LmkpDswu3Zl/4mE6qTB9zvlJXLxcd9XCJJvk+jNNQgC595QoIJH1sLpM4871Oyq7gkYWu87A2BsHpbgHvpkAqn1aQ31umldfxmxy75sbb+WOtOfLJ9+ci9u+W3r/0jfnKb/489da7sLmx7EyKophdsXi9/GDm2zWfFr+8dp8eZh99c0GZ9SSdogCQatCX9jNtFa2Fh0sVcPVFvgFhrd7Iy/X3EKLnm+JOkWN8MaNDqhfSlxQvlspXLJF/LFJ8atX6eGz1O/vW4E+Mne+b/Gj23WGD/xuGH5sQw32Et7549e/q0fmbN0gCahEAfCtDFrg+xvbKpjYXFSYMjy38wqq0gFUNaBUjOyVsPmHpLyStFbMlnuvK+omKwRNq5k1igVm+X9peJu3e15CP+n0WjB0ieXkDUJwmQqoJ5srZff5msd8bjk93Vn7Rrp6wdNSZ+Mv8j0CsCCyur2gRHtmJrSVqiAb2vg8/+dm2dTRYc2fIWYL0+sKJNcGTv2Q2CReWDOly3zZcqOZ9xC+w6yGOqdbjtfSvT2MqDTrZqLGa1468H0lHbt7YJjizbdsPniJ3bpdIj5fAANVlEAIEeCjBIQw8Bs3Fx+6LY9pJPT8bFdqeW1KFAkRrZxWOyFNXJReH2DUuse1CyBW2arrMkib9f2/Fq9DkxEgLpECjRltD29snCFBe1RdpNt71k+22RLW8BTJKUat1JFsmZSXZTxGupuoPukrVJWtu9Vj7yiwAC2SPAFVX21GWvlWRoQ71M2b9PVg0oa9MK0hDwy8nbNrfalgUCkVGjXf2QrV9bV/ybNjl3rOMz7+Rd+zZHRoyMn9zj/yfpGio0CNqpD7NbUNMq+fxy9LChEtIBG5KlE3SZhnYuFiZUHpARNdVtFgtrcDRkyhQ5lyCpjU1vTLBBBBYcqOyNVXlyHacPHCB/1WfiEsOYPA1szqirltCRR7VbLnuqZHZdjbxbUNT2eKIX+Z9orJcf6jyJYVSetlafqct1tO74jdqgJYFVK9sEcvYZj+ozOuHxE+Jn98T//g3rxa9dmaylLT7ZqxVDm57J+Kg+/1XWrzT+bdf+v2HaDDlqzy6xrpXxqVFbC1foe+cO8sazVPF5t/9f1WODPV9HQgCB7BEgQMqeuuzVkty98DW56IxzpD4SdbrW2L1KO6X927rVMqquqSudc8rWE5uNBlf7maudEZZ6NRO9uTI9IRf98uc6oMGqlj79UQ1CLDCq+ZfrRDq4s9ndbPxAH0C/duUadTND5dEVmdntE8dL4ZzDpa6dFdslwrd375HvbdjcckGapxd5Bfrz//QhYBvJytZjA2VYGSxF518p/zbJexeATuY98Os9HUAglwOkj+lACjbq3B90v7THVqMa5Ns+ObKgQL40+6NSF2zaD9urytt0JMwrdNQ7e47LnmOyrgu2D3951Ai56MhZsmTdRvm/fftbgiRb9yh9Zum6ww+TuuZ9vL11x08veOb3kvf6q84kCyrs82EjbNZcf6NESzz4fJ52Cyy+/yfi36uDNNjn3Uqmx9zGWbPlg5HjnHJeU1IkM8Z5pGvtmFES3bVdojrYjD1b5SStI58eh4+fd74cn4bjcNNG0vv7cx+slj1VBEjpVWbtCPStAAFS33p7ZmuHaEvFMzOmyZO7djujTQ3RE9c8vUCaOXum1I8dI4EPljedqKfPdE7WdtJ2ddL8WRAX1NGfgsuWOifn8JSpEjpC73x34QKsK2WcrUMV/2HmVHly5x5ZraPMjdRR/j4xuFwmdWLEvE9UDJLJOv/lq9ZKmXa5u3j0KPnU4EHOiF7VX/2m5L35utgIgpHB+vzGnGMkOmhQV7LGvAh0WeDfxo6WU3VAhhfWrJVKHTb7yPHjZN6gcinoxGd/TGGBPGOfhV175P3qGqnQIe/P1WVtOG9Ld0wYK6fuK5PnNEiq1wvno/v3cwKyzqzbWUHzr/p5F0jjtOnO59xnIztqq1FoztHuHkAmvgCJ/+uxouZLN0neW2803dzRY0LjobOkccZMkQVNgWDiIq5+rftK3RWfleB77+px+H3nONw4eao0Hn5E2o7DrvYgcwgg4FoBAiTXVk3mM1auFzHX6PeUJKbQR44W+/Fc0pNz4+wjnJ++yvswvaD54qjh3drc1OKmUb8maYtdfD1Ey8ul4cyzu7VOFkKgJwIf1d6ip2vrcp22ZIY0OO9KGqDdPz9nLaDtpJO1G5/99DTZcPdZNeS93pwKHXeC89NTG1csr62DjTqkt/2QEEAAAbcKuPy2v1vZyBcCCCCAAAIIIIAAAghkowABUjbWKmVCAAEEEEAAAQQQQACBbgkQIHWLjYUQQAABBBBAAAEEEEAgGwUIkLKxVikTAggggAACCCCAAAIIdEuAAKlbbCyEAAIIIIAAAggggAAC2ShAgJSNtUqZEEAAAQQQQAABBBBAoFsCBEjdYmMhBBBAAAEEEEAAAQQQyEYBAqRsrFXKhAACCCCAAAIIIIAAAt0SIEDqFhsLIYAAAggggAACCCCAQDYKECBlY61SJgQQQAABBBBAAAEEEOiWAAFSt9hYCAEEEEAAAQQQQAABBLJRgAApG2uVMiGAAAIIIIAAAggggEC3BAiQusXGQggggAACCCCAAAIIIJCNAgRI2VirlAkBBBBAAAEEEEAAAQS6JUCA1C02FkIAAQQQQAABBBBAAIFsFCBAysZapUwIIIAAAggggAACCCDQLQECpG6xsRACCCCAAAIIIIAAAghkowABUjbWKmVCAAEEEEAAAQQQQACBbgkQIHWLjYUQQAABBBBAAAEEEEAgGwUIkLKxVikTAggggAACCCCAAAIIdEuAAKlbbCyEAAIIIIAAAggggAAC2ShAgJSNtUqZEEAAAQQQQAABBBBAoFsCBEjdYmMhBBBAAAEEEEAAAQQQyEYBAqRsrFXKhAACCCCAAAIIIIAAAt0SIEDqFhsLIYAAAggggAACCCCAQDYKECBlY61SJgQQQAABBBBAAAEEEOiWAAFSt9hYCAEEEEAAAQQQQAABBLJRgAApG2uVMiGAAAIIIIAAAggggEC3BILdWiqDC9XU1Mirr74qW7dulZkzZ8oRRxzRkpvKykp57bXXWl7H/jnppJMkLy/PeRkOh2Xx4sWybNkymTp1qsyZMyc2G38RQAABBBBAAAEEEEAgxwU8FSA9++yz8sMf/lAOPfRQKS4ull/84hdyzjnnyNe+9jWnGpcsWSJ33HGHVFRUtKrWY4891gmQLDi69tprZdu2bXLCCSfIE088IRY83XTTTa3m50XXBHwamAY2rJdoMCjh8eNFCgpTrsC3d48EtmyRaFGRhMfpMrpsptPuUEjer66RIr9fZpeWSIH+7au0rq5O1tbWyWAN5GeWFIvf5+uVTa+urZUNdfUyND9fZhQXia+X1tsrmfPCSvSYYft2+b59Mqq6TnPc+tjihSK4PY+1avxOVbXUR6NyqO77Fc03s9yeb0/mT28w2v6sBwI97o4TKSzyZDG6k2lfdbUE1q+TaMDfdM7pZNkjul++q+eFHQ0NMqawQKbptUd8OtjYKL6DB2W2ntNq16+XfHPtw3NHfF74HwEEek8g81elnSxLJBKRX/3qV06A86lPfcpZ6p///Kd8+9vflvPPP18mTZokq1atkhkzZsh9992XdK0WEFVVVcnjjz8uJSUlsmHDBrn88stl7ty5MmXKlKTLMLFjgfwXnpP85/9PJBAQ0ROJnRjqLrpYGg+dlXxBrceC3z8leW+92RQURaJOkFR7xWckMnZc8mX6YOp/bdkmD2/fKXl64RDR7VmQ9IMJY+XY/v3SunW7OLx53QZ5+UCl5Ou2G9VwZEG+/GTSBBkZVNNupkpd79fWrJe3Kquc9YZ0veMLC3W942WErp+UWsC/ebMU/eoX4quukkN0f3hRL4QWT5kmovuqs7+nXgVzpBB4af8B+fa6jWL7p90SsP3/88OHyrUjhqVYkre7KpD3+qtS8MdnnODIOVbr8abu/E9K41HZ34si7+V/SMFf/9wUuOg+ZgFi3Sc+JY1HHNkh49b6Bvni6rXOTSY7NzToshbE36PH0TK9qfe0njN+sGmL+HSV0YGD5PTd++W7rzwic08/XSJD2Yc7xOVNBFwu0He3yHsIsXfvXqc73GmnndaypsMPP9z537rbWbIAqaNAZ8GCBWLLW3BkaezYsU43veeee855za+uCQTfXiQWIPns4sbuoulFuU9bYQoffUT8W7ckXVn+c3+TPF3OLoacZSK6jF6AFv/8p+LT4DUT6Yldu+XXO3aKnuOcE6BdpFmAcePqdbK5vj6tWbptw2Z57WCVs227gx7WrW3Wk/K1K9dISIPJ7qZvrd0gb+tdeSuTrdfWtF5bqb6waq2E9TUphYC2vBX/7AHxVR4Un9ZDwPZvXeTQVR9I/rN/SbEwb3dGYI22mFoQX6O+FiDZxaftpz/btkOe2b23M6tgnk4KBD5YIQXP/L7pGB07VuvfwqefkMDaNZ1cizdnCy59Xwr+8ifnc9xynrKyP/mY+K01rZ1kLUfX6/HSWuDtuFzXvH8u1Va4b+jx9bWDlfIfm7dKSG+eNOgNwpD+2N9bph0mS55+Sk8mDe2smckIIOAFAc+0IFm3ucSucC+88ILeyA20BEUWIBUUFMjNN98sK1askGnTpskNN9wgI0eOdOrCutaNGDGiVb3Y6507d7aaZi9s3Xv27GmZPnDgwJx5Xsnv07hZ75YVafe3jlLgny86J50289iyb74ukUvmt37LLjRfedk5Sce/YReeUX2v6L0lEj351Pi3+uT/h7fv0jvXyTf1h30H5OvjxyZ/s4dT92kw+bd9+9usxS4S9+gJ/C0NlGIpVV3E5rO/W/WE/oqevBOTneS36En73YaQHFc2IPFtXscJ+Ba+pc0ZTUFR3GQJ2j782isSuOCTOdmK5MtvepYzT/8GUxwf4t2S/f+0ttraZz8x2X768I5dcvHopuN24vu8bhZoxsvLC6Y8Vvu1BcVpNUrE04v+wlcXSGTGzMR3sua1/58vJS+7lrBIP8uRqdoqnCS9oa2bm/V4aftjfLJzhbXM2w2sZKcNm/azsRPlIb2ZEj3qI/GLZs3/1hOHhEC2C3gmQEqsiDVr1siDDz4ol112mQwdOlRsgIbt27fLsGHD5JJLLnGeMXrqqafk+uuvl0ceeUQKtXvR7t27pX///q1WZa9XrlzZapq9eOihh+Sdd95pmW4DQsS3XrW8kYX/1GjQaRfpZWVlHZauan/bi3tbwLnjri1+xQnLR7UPeHU7d9Xszl6htiQVJCzTYQZ66c2d7eTJ7mpvbgyndOhuNjboCdgJDpOsIKBB5m4LVJ3k61Ielu7e43QVtPwnpjy/T/bqelPVbeJyufa6XvfF9lrwbF/tr88x+DOwr2a6HkLFJWJtqhaw5/ew/JtDYWlsp0D2vAf7aDs4zZP92nJhqUDPbamsqvX5mLZHAz1W6/J+Oy/2sC6djLj0V/W+vcnLrsfHgN4ETTxPxYqxT4MgO142htvK5et0p3eBHqcTU1SnbSjtJ0V6vuvpZyRx3W55TYDklpogH+kU8GSA9O677zqtRCeffLJcffXVjk9paak8+eSTUl5eLvn6QLql6dOny5VXXum0Bp133nn6eIxfbwq3PiXb61iXO2eh5l/XXXedE1DFplkL0v52AoLYPNnyN6DdyyylKm9gYLn4tjV1b4wve9ScBw1qu7zdfc8vEF9D225rNsBDnZ5UajNgPFj3F7sgS0xBPdGN0ueAUjkkLtfZ1/21BantqbdpaesGVxG1MNVStEt5GKj7dLLgyNYU0me+ynW96SqTbSMbkq+k1DleWLCfmGxfPRjW6RnYVxPz0tevfTX6oLtutFa7INb0sPyjteUjqNeXyVpvh+lzcuyjHdeuPZdrqV67zqay8pdXiE9vWiVeztvxJ6K9M1It72zIo7/85YOcQRTalF2P740dlH2Q+jYk+fwbQ4MeR8cU6U3XkLakJARJ1uV8XNVBqR00usefEY+Sk20EskLAcwGSPUf0ne98Ry666CK55pprWirBRuey1qP4NGHCBBk8eLAzap29b8GTtTTFp4M6+kzicvb+iSeeGD+b87910cuFVKwX0H49yNtFUEcp+PGTpPDx37btZmfLHn2sRJIsn//Rj0n+S39v1c3OCRK01apWB3aIJlmmozz0xnufHTpYfrR5S9ILtXkDB6R06G4ebKy/MwaWyd+1JSk+oLH7woP0InxO3GAKqeoiPg8D9cUJOrjE63oH1J6niiW7sB2pweBh2j2qK+uLLZ9Tf7XLUemfnpGoBpvxF1aNGvyHjzteHy9oG1Dngk9Qu2dax9uQ/g318LP6yfIyeXz7jjZstp/aZ5J9tA1N6wnNH+1QqDGlVeBjJ0rRmlVtu5rpebHu+I9KuId12Tpj7noV+NjHpcieNYo7FsZyWHvcCUnPU/b+DA3gx+uIrDbCaHw3OxusYU6/Upmv++j1K5ueH42tz/7a8eJz69dKzWmn2J2E+Lf4HwEEPCQQ68PjiSy/+OKLcuutt8qXvvSlVsGRZX69Dq9prUWbNm1qKYsFNLt27Wp5BskCpqVLl7a8b//Y9yHFnlFq9QYvUgo0zjpc6s84S6zFyO6qRzXIieozYLWX64h0w4YnXb7hlNMkpP2y7dzuLGPL9usnNZ+7RqLNg2ckXTCNEz89pELmDxninNhsJDlrOSrVLlQ/njhORmt50pm+M3aUHNO/1Nl2gW7XLg5HaWD0wOSJ2r2j+x/PO3QEviN0qHI7Wdt6bU3jtCvOf0+eINZ9j5RCQLuQ1Xz+WolqF1zbv8O2f+si7x0yRRrOODvFwrzdGYEJegf+Lv2Mlaivfebss2f76b/oKHbnDSrvzCqYp5MC4clTpP78TzQdo+04bT+6T9ddeJF+NcOETq7Fm7OFp8+Q+nPntS67DiVfd/GlEhk9pt1C2U3V+w6ZIJPt6xF0LjuO2t8j9bh6Z/MIp7eMGiF52sqUr70u8vTH/v7HsiVy2Cf1GUXtLUFCAAHvCnimBckGTLjzzjvl4x//uIwbN07sO49iafTo0c40e87ogQcecL4XqU7v+tx///1iXeNOOUXv5Gi68MILnQDLvjvJBnD43e9+59wJPvtsLnhill39GzrxJCfgCWza6AzbHR4zVk8MTV0ck65LL4bq9QH3hpNOaRrpTi9EnWX0hJ3JdOOo4XKJBko2QlGh5vFwPQna33SnIi23Demd7HuQEruDdiUv/XS9D2qQxfcgdUWt9byRkaOk+pvfdr43ZqN+D9K1+j1IHxs/Xr6e4X21dS69/epjOljI87NmyGL7HiS90DxUb5KU6517Uu8LhLRVP3TYbGd/tiv98Njx+j1Iqb+zrvdz0vdrDGlLUWj2ERLYtEGbePSGx9hxGvGkDmCGaGv7o9Mmywc1tbJdW43te5Ds6xJi6RPDhshpFYPkq28vlvC+PRrwj5cBl82XCMeIGBF/EfCsgGfORH/961+lRi9ebUjuxGG5bdQ6+y6jr3zlK3L77bfLBRdc4FSItRjde++9zpfK2oRjjjlGLr74Ymfghjy9g2QtR7fccovY80ukHgjoRU24nZGA2ltrVB8KDrvswWA7GQ7Jz8zobnbSjT/xtufW1emTNAC1H1I3BfRCJzxhouzVB643r1jdzZWwWEcCdiPimDR/31hH28+p9+yGVBeP1Vnjo1/wGrbvMetGmqKtSPaTLPXT51QjAwbI2wEdTVCPFXxJbDIlpiHgPQHPBEjz588X++koTZ06VR599FFncAULgAboQSsxXXXVVc567NkjGzqchAACCCCAAAIIIIAAAgjEBDwTIMUy3Jm/qQIfG+Uu1Tyd2Q7zIIAAAggggAACCCCAQHYJpP8hi+zyojQIIIAAAggggAACCCCQxQIESFlcuRQNAQQQQAABBBBAAAEEuiZAgNQ1L+ZGAAEEEEAAAQQQQACBLBYgQMriyqVoCCCAAAIIIIAAAggg0DUBAqSueTE3AggggAACCCCAAAIIZLEAAVIWVy5FQwABBBBAAAEEEEAAga4JECB1zYu5EUAAAQQQQAABBBBAIIsFCJCyuHIpGgIIIIAAAggggAACCHRNgACpa17MjQACCCCAAAIIIIAAAlksQICUxZVL0RBAAAEEEEAAAQQQQKBrAgRIXfNibgQQQAABBBBAAAEEEMhiAQKkLK5cioYAAggggAACCCCAAAJdEyBA6poXcyOAAAIIIIAAAggggEAWCxAgZXHlUjQEEEAAAQQQQAABBBDomgABUte8mBsBBBBAAAEEEEAAAQSyWIAAKYsrl6IhgAACCCCAAAIIIIBA1wQIkLrmxdwIIIAAAggggAACCCCQxQLBLC4bRfOAQE04LAsrq6QmEpHDSkpkREF+8lzrfIH168RXVSmRocMkMmx48vm8MjUaFf+mjeLfv18iFYMlMmJES87NZNH/Z+884KSokj9ePXEjC7sLLHnJWUQB9QgChjMiKoYTczrMOf31PMOZzzvz6RkRIwqoh+gdJhAUA0klSF7SsoElbprU/6q3zDAzOxtmJ8/86vOZ3e7Xr1/4vp6erq569fZXUqXd7kkLtLG6qoo21tRSW7OZhmZlklHTAmVLqjStrIyM27eSnp5Bzu49iLjvkNgT0HbuJCNfz3qalZw9ehJZrLFvVDNaYOP7zhL+ru3j71z/jHTqbI2Pdm+vtdEvlZWUbjDQsOwsyjQam9EbZGmKQDWPs4x3DY/7YP69aWdp+P6h7d2jfnPIaCKH3GsyMkgrl/vPdtJ521nYnciER6immOM4CCQqAXy7E3XkkqDd3+7ZS3duKCK7KAvcHxv/P7ttHt3RpRNpXg/7hh3FlP76q6Tt20skDwqsODj69qOayRckzIOY93Bpu3ep/hhKS+p+YB0O/rEtpOoLLqFvbHa6e+NmDxM5b4vfw6Y8zN2yfpNSLK0GjewunQosFnqud3cqTEvzrip5trnPaR++T6alS+qUIn7A0flhtubCS+oeVJKnp4nVEx4H60czyfzjIs+4yENj9eQLydmnb1z3ZRk/KN+0fiPtd7pI1A+5/0zIa0P3dOtCJq/7T7Q78fct2+id0nKycBtcXLm05aHuXWlc65xoNyWp6pu/ew/d5XVvlfG+uKAdXd+p/ss2yxf/I8uXc/n3Rh6RdMXB2bETGTcX1V3nfD8SJan6okvJ1aVrUnFCZ0AABOoIwMUOV0JMCGxmy8dN6zYqy5EoSLX8kZ+hGeU76a3SsoNtstko/ZWXSN7mafwwprFyJHYS07q1lDbzw4P5EmWL+5D+6stkKCsljfus+sP/jZs3U/GMD+hWVnzEmuZmIt0qNVtoelm5p4f38o/80v37Fa8aVo6cfKSYOU1Zs4GVJXmkSj6x/PczMv2yXI29YsYPKBpb0ISlWBUhsSFg+eZrMi/+yXdcamspfeprpFVUxKZRzai1gu8jV63dQLsdTnJ43X/mVOymf23f0YwSIpPlPVaM3ufvutwL5Z4o94Fq/k7fxveFjTU1kak0BUoVdjf73VuF8bSSUvqwbKcPAXkJY/nqi7r7s4N/b/gFlnxEOZLfHnX/4THR+B6cwb9NxPchCAiAQPIRgAUp+cY0PD3iHwDzou/CU1aAUj42mEnjD5uKfI46+FdrKr9BvXTjOpVu2LpFPQiLMuEtGj8gm5YtJTO/1SO2niSKGNhFzMBuGoH6877JWpfux0Tn/ee31T207ed+f8OWN38RtaicH/oeY3Z92FUomUQU4wu/W0Ay5t4iV47D5aQV335Lvw0b4X0o7Nvb2OUJcpCAuLuS0UCWr/lB0m9cVC7+vqZ9PJMc/QccPCmOtj4zmMhl4PuG33dNFJJ3i0voxi0blVU72k2eakonh1b/vaXcL2b+8hvd6fK6DuXFQHomfcHX5gqvFyjRbnMi1DeXFV/fX5C6VsvvzXPbitlSd/Do6Ww5Sud7jr/4/lLxpcMZHKw4/brgWyrrCCuSPy/sg0CiE4CClOgjGIn2m1h54R+INHadiZRsO2oMOTp3C1h8Bf/0NKdu+YFKmzM7YBmJmLgpuxU/HPn/DNf1ZC8/hD6yeVuj3RL1YUZ5/L61b7TxjRxsU1tDl/KDSCAxMJfV27bTI+0aZxPo3JakpfGckJSWA3O+zL8uJ/k0JHL/MP2+Wn0ayhPL9B1Dh5OtZ2AXwGr+Dto/nU05di9lJEqNLTtzct2Tt199cl/YWlJCaQu/9hyxDjqUqG0BvVHFlqUm7g2ek7BRj8Aev3vrpD176uVpMIGv85Vbt9LmvAJ2heR3Bg3cvxs8HwdAAATilgAUpLgdmtg1rPrsP/GE66KINqCbbiAzv7Wrc5jzraod/9BUn32uShTXM5nfIA9c/sIOalRz+hkBJ+ob2QXPsmQx2UYcqeb3+J8bq31DaSlZ5n1dz4Ik7enJboQLCzoGVJLamIx0c+eOVMk/5o9u2R6w+TKP4k/t8qlvnFmQZrHSJhOjr+tY0Oik6ICdkkR+e27nB3MzW8j8Rec5aYO6dqEHC7v4Hwr7voGvt1E52WEvN5EKdPTrz/OLLlDzAKXdaR/PIo1d6vxFZ0VSrEeOgYP8D8XFfpflv5CF7ym2AMEPMvi+ZJ54BlUHflcR0fYX6BoFUvXlXlnYsYPnviiNuNyaxoElMmlfmzxyOgO/QIhoY8NQuFi9n2br+KFZGXRmfl4YSgxcxJydu+gHDgZU/1eEyH1vdZ/pyM0lKmmem6XG1/mQrl3V/acLz4mEguSmiP8gkPgEoCAl/hiGvQd627bk4E8kZSLPmXnjt9Xq4de7HnkLd3mXLlx/3Y+l45BDybRyBREHaPB2S5MHY/thh5PjiKO8T/dsq4c2VpAk0pCD88WNyJv1VSt4DhK72XkpfdKfc5x2miYWClYIvEV+dGUi8Sl5/MPNsmx/FX3JE47FHcgtohx14AiAN7ASFcsJ5u72eP//eV+lUpDG8iTzHulp3oeave0aM5b0b77yceeS3htYceozajS7FWY0uyxkDIEAX6eOwUM8BdRW15D10098r2U5yvlqTzuD9FatPHnjaWMiW56fGTCEX9Dw182rYWb+rl1Y0J6crMzHQq7glwkPFm1R8wp96me3u0kD+5PDK8peq+xsOisri8rLyzluTf2XBz7nx+lOEc8NEgVJlAv3/S0STZWIdZNWriaesukjct/0vrfKQdPxJ5D+1lSf3xtJl1O9dea6+4+F+o0cRf3Sk8utWfoLAYFUJ5Di/iKpPvyx638Hnjf0Qu8e6u2d/EjJg4lcjJfyw8mkA8qRah1HxKq6cgqHws4nmYuj8778MDkGDqbaCaerLAn1hxWg6kuvUKHKvfsjily7SWfR0726Uyt+uJQ3F8LEyL/IN/YopIleb1fvZWvJ6AOWDIl0Jdy6c/S6l3r3jDvlKFxjYzvmOLKzNVDGXl0DzFHPyaGqK65S4XfDVQ/KCY6AnR8ObaK8yneTr1uxHOlZ2VR1+Z/jVjmSHubKC5pfFlOe2aQi2Mn3SB5+z8jPpSs6tA8OQhhzn8b1T2HlzH1PlP+t2Xr8HN8XOnkpR2GsMiWK6sbh55/u2Z2y5d7KY+2+b8pYe99bBYZYPWtPPa3uenZf08ze0btP/fsP/zYRlKOUuIbQydQjwC/lvV5Dp17/g+pxcXFxUPmRuWkCYgVZUVlFsvbPgMwMfhhowKjJ+QzbtnKob1kHqT3puY27Y5i/X6jcf8RdMK4sSG4k0p/t2w6sg5SvFCb3IVmb5RdmImt1jO/BP+p8YCevM+MvW9m1SdZBaidWFLbMeIdG988by/37Nm2hj3dW0IwBfVtsQXK3X9u7lwzF29Q6SK7O7FYnFjdIzAlIRC+5niX0uhoXfrCMZ8m69//I1SaX9t54C/3G37W9PMetH1shG1sXJ5r92cPtWVlVTWkcxn8Qt8sc4DrPZgtSVhJYkCau+J1O5fDqDxRGPtBBrde9dSBzzWUFuUFh65as7SXWUKeE8ub7rMbr1hmK69ZBUuG9A4xLg+Ul0QEn/14H+k2KZBeHDDlouY5kPSgbBNwEGrk7uLPgPwhEjoBYSQ7lRU6bFM6nHryazJggGaQ/nTqrj3+LLfyjK4tDiuSxpc3Gb7sDiSxqGS8LWwZqXyTSxGXLGaduW5Hob6KUqfODeryvexSIpVgTmnX/CXRyBNNy+EXRUa1Se75bJPBa+d46/MC9tcny2SrvZKuRt+itW5OTPxAQAIHkJ4DXr8k/xughCIAACIAACIAACIAACIBAMwlAQWomKGQDARAAARAAARAAARAAARBIfgJQkJJ/jNFDEAABEAABEAABEAABEACBZhKAgtRMUMgGAiAAAiAAAiAAAiAAAiCQ/ASgICX/GKOHIAACIAACIAACIAACIAACzSQABamZoJANBEAABEAABEAABEAABEAg+QlAQUr+MUYPQQAEQAAEQAAEQAAEQAAEmkkAClIzQSEbCIAACIAACIAACIAACIBA8hPAQrHJP8boIQiAAAiAAAiAAAiAgBcBl8tFW7Zs8UppeLNt27aUkZHRcAYcSToCUJCSbkjRIRAAARAAARAAARAAgcYI7NmzhwoLCxvL4jn2wQcf0KRJkzz72Eh+AlCQkn+M0UMQAAEQAAEQAAEQAAEvAmIRevbZZ71SiJ555hlat26d+u994NBDD/XexXYKEICClAKDjC6CAAiAAAiAAAiAAAgcJGC1Wunaa689mMBbM2bMoPXr19dL98mEnZQgAAUpJYYZnQQBEAABEAABEAABEGgJgb1799KTTz5JQ4cOpYkTJ/oUUVxcTC+++CKdcsopNHz4cPr3v/9NOTk5dMQRR9Brr71Ga9eupTFjxtCECROoU6dOPuc6HA56/fXX6ccff6SqqipV/hVXXKHO98mInagTgIIUBPLWrVsHkRtZY0nAlZ5BOjcgIzODDAk+bkajkRL52rNYStSl0KpVNrXOzIzlZYG6QUARcGoaGY2GhP5emUx1P9/Z2dkkk80TUSr4gVDEYrYk9FgkIvtQ2rxz585QTk/Ic1u1akWzZs1Sysxpp51GGt9D3PLGG2/Qgw8+SBdddJFKeuWVV8hms1FpaSn17NmT+vbtq47fc8899PPPP1P37t1VvrKyMjrppJNUWp8+fWjAgAH00EMP0XPPPUdz5sxR++468D/6BKAgBcFctHtIYhAw8M3JzE211drIlcDjlp6erh5+EvnakzdkItXVNVTl9aOiEvEHBGJAwKLrpLt0qk3ge4PMnzCbzVRTU0Pu71gMUIZUZQ3fE0QcTod6ex5SYTgZBCJM4JJLLqGbb76Z5s2bR2PHjvXU9uabb9Lo0aOpR48enrTly5fTrbfeSk888YRKKykpUdalM844g5YsWaIUrDvvvFMpRzNnzqTTTz9d5du8eTMdeeSRNGXKFJo/f76nPGxEnwAUpCCYyxsBSGIQMPMPrihI8uDgSPBx0/lhLpGvPffbbbvdzv0wJsYFhFYmNQEL9y7Rv1cyf0JEvlfySUSx2+t+U+Uekcj3uERkjzYHT2Dy5Ml0xx130FtvveVRkH766SdavXo13X777T4FtmnThu677z5PWvv27emmm25SCpbMccrPz1fWqKOOOsqjHEnmrl270nnnnafc+X755Rc65JBDPGVgI7oEoCBFlzdqAwEQAAEQAAEQAAEQSDAC7dq1o5NPPpk+/PBD5QaXlpZGYj3KZNfxs846y6c3AwcOVOneiW5lZ+nSpVTI4cXlJY3MbTr77LO9s9HWrVvV/po1a6Ag+ZCJ7o4hutWhNhAAARAAARAAARAAARBIPALiZifrJ82ePVtZbt977z0688wzKSsry6czgeYNuxealfPLy8tVfnGjNxgMPh+xIp1zzjkk8wshsSMAC1Ls2KNmEAABEAABEAABEACBBCEgQRXEkjR9+nSlwIii4w7O4N0FtxXIO62oqEjtHnbYYR7rkgRnePvtt72zkdPp5CAycEf3gRKDHViQYgAdVYIACIAACIAACIAACCQWAYkeef7559Nnn32mlKRu3brRuHHj6nVC5g+tWrXKJ13c8cRiNGjQIBXQoaCgQEXGEzc7b5G5TmKBcitU3sewHT0CUJCixxo1gQAIgAAIgAAIgAAIJDABcbPbv38/TZ06lS688EKfkN/ubkngEQkH/vnnn5NEtLv66qvV9quvvkoWi0VFoJQId9XV1WpdJYmMJwEfbrnlFnr//ffp+uuvJ1G+ILEjABe72LFP6ZqX8s1lZWU15ZiMNCqnFbU+sKZHvELRdu8iE0+YJJeTHD17kd62XVSa6ly7hpzr1pGJb7aOfv15YaeMFte7n8323+7ZSxV2B/XJSKfh2b4+0y0uOIQTDaUlZNy4kXSziZy9+5LegM/1Lo5GuIDbLn0YxGtbDcZ6SiFQx6k+BDgCnJG/Z4a9e8jF32tXflve/500vuachd3JVdDBJzt2IkugpLKKfly3Vi3PcDj/NnTu24/Y3yioSn+vqqal+yvJatBoJK9f084iMU0jJ1LfMq4vndfWGsnrveVx+HVI8hIQC9CwYcNUiO5A7nXSc1nT6LjjjqNTTz1VRdOVEODPPPMM/elPf/KAEUuUKEsS3c4dNlwsVJdeeinJmkmQ2BKAghRb/ilXezU/6N+0biP9vG8/mbzWxHm8Rzca0zonLnmY539D1s8+JTqgxFn5wck+cjTVnjIhcu3lh7b0N1+n6vXr1MNBGke74ddUVD35QnKKohSkCO8bmLuDy9H4XPk/gBWN53v3oOwgHz6CrDpwdq7f+tFMMv+4yMOVnC6qOWMSOYYN9znnq1176K6NRard0nYbnzsyJ5v+3qOQLDy5FQICLSVgKN5O6a++TFo1r3En1xJ/tzm0VN01Kfcn+a7z9Vh7Bkeo8rpftbQ+nNc4gffWrqcn+EWIhe8FZLDwOlV2uuTjT+j68eNIb8aC3y4eu/s2baHZFbvIcmC8HPpW+r+unemMtnmNV96Co06u7y8bN9Pnu3Z76nNyOfd160In57VpQYk4JdYEvv7662Y1QRSZMWPGqIVgA50gx5966il6+OGHaceOHT5rJHnnlwh28pE8sgBvYWGhZ36Sdz5sR58Ani6izzyla3xyyzZawm/a5Eekln9c3J9bNhTRjjhcr0jeLItypHFbNVZa1Ie3zd8tINPPP0VsLK2zPyHjhvVsseIHBamXH9Sk7vRpb5C2e3dQ9e7mc69n5aiKyxLlQpgL/1X81vN+fpiIhQg/808/+HJl61zajOlk2HqwTVtqa+n2DZs87a7htjMRWrR3Pz27bUcsmo46k4UAX0tKOdq/jzS2TLq/26KEu79v8r03L15M5gXzk6XXcduPH3fvocf37COXZqAafriUj85KztQuhfTZ5581q91vlZbRZ6yssIrr+W2Re93fNm+l39gyFW55fUcJzeV2e9cnL5/+smkzreH7KyQ5CSxYsIAWLVpEV155ZZMdlMh13gvINnSCzEcKFBq8ofxIjzwBKEiRZ4waDhCQH45Pdu4iO//3F7kQ5/Bbv3gT8/cL694o+zVMY2XDsvBbv9Qw7fLDmvnnH9VDW70S+YHBvGxJveTGEr5kC4y8WfUXGY+v+Mdd3NaiLRZ+4BSG9YX798P3nuRP+XoxcJ/9Ra6hGeU7/ZOxDwLNJ8DKt1iO6l9dvkVorLhbFi7wTcRe2AlML9ocsEwnW/beaFtAhpKmX4i8W1qurOP+BckYzygL//3i3dKdAeuT37OPyiv8m4H9BCfw8ssvK6vRH//4R+ViJ6G4IclLAApS8o5t3PWskh/EAylH0lBJL7Oxe0uYxMnzhMRdy9m1W0glGnbtavABSvOLPBNSRd4ny4NbQ0qLWJJ4rkQwUsaWp0CqiJQhapPMSYqknMquJn9hF5e2Xn75Gs9BCySa7iJDxcEHixKbvcFrRtw15QMBgWAJ1Ew4nee89alzq2vGyRpbmSDhJ5DL9wS5N0zIy6XtfB8Si1EgKU3P4Pueb6SvQPl2NXAvk7tEcQQ8FMQ6H0jklVMk6gtUF9KiR0DWJ6qqqlKLwn7yySfsdR94lsoJJ5ygFpSNXstQUyQIBB7dFtRUwQ81EqljHU8onzRpkorMIbHiG7qAWlAFTklwAq14rovMd9kX4OHfzD+MPdKtYeuhq117kk+o4uzQkQzsGywP7t4iioWrfejle5fp2eYwoDqv0K3V1HiSPBt8Qw62Xz24rIZE/PQLIjyB+XAOBiEfb3Hl5pExwBth3WAkFzN3S8/0NOXbL66B/pLLLNJl3ggEBIIkIPPcZE6LecnPzTpTAjdAwk9Afg/cc4P6pFlpTXUticXIR/i731MCaAzs65McaKcrl7G2uv59U35f+nJgmnBLJ6uFttTa6hUr9UkgHEhyERDLkXyakgceeKCpLDieAAT87kTBt1jnm9ejjz6qwhGOHz9e+WSWlJTQtGnTlAlyMftvQ0BACGj8ozGlY3uf4AySLhdhFv9Qnpwbf5Na7UeP5YbXWVqkrR7hvtiOOc6zG9YNLrv22ONJ93tQkLerojjZhx4eVHXjWrei9vym1uh3lvyIX9S+bUwCHdiO+2O9t8VKBeKoU7Y/jPS09DR+syxKkP+NSvpydccCTz5sgECwBMTKLC8b6n3P/AqS751cr5DIErigZ486a73fyxD57l9dW0V6TusmGyD3BP97hdikjPzn3Hb5TZ4fbAapz/++KvXJvXVSBIJCBNs+5AcBEGg5Af97SdAlSdjCu+66i0aNGkX33nuv5/zhw4dTcXExHXXUUbR+/XpPOjZSm8B57drSlA7t1Q+I/JCI9GIrwet9e1EGK0nxJq72BVR96RWkZ2UrdzS3klLzp8kkD1iREvuoMXUKmJGNvKIYcUVisaqacg2RNThLm5kVjFf69lRR66S96oGB/0+WsYiRkuEYNJhqTz+Tw3ublaIk/dM5HG/15X8mna1LbsnmMPCv8rVRyG+GRaTtYvW6rlMHOhMPIIoJ/rSQAF9H1ZddSc5uhXXfbf6eKCVdrkkuUn3XOQSvRLBzDBzUwkpwWnMJiLX42cIulCduxKwkGdhqn2W30WOl22noSSc3q5ixHAn1rxxBLoPH0v370oEt5P/u05M68FiGW07gl3q3d+1Eafxix11fR67nZa7P26U43PWivPAQkBf80ZZY1BntPiZLfXwfavkVIgthyWq/l19+Of3jH/+glStXqigcsnpwv379qLS0VFmWJMa7hDpMdBGFDxIeAjJ3ZBO7kInbXacgH/jD04IgS+H2ypo9EoraxdFmgl2XI8jaPNkL+Ae4tqiIdrP/vJ4X+htQ8YuXOUeicGTGg0LK86Mk1DKvmscKIHPlB5uGZHNNrQoo0YMfpNIaydfQ+UgHgYYIaOwirtZBYlc6ndfYUt91/p6o73oD8wwaKita6dm8ZlhWVhaVl5dzoEt7tKqNeD0SOns998nJ8xR7sZu+uQVrntn5fr2ef1+sfJ/o3oiLcbg6U8v1rWPXvgxeByka9YWr3S0tx8lu8hKSOpoyZMiQiFQnz7HSn2iIga9HYzz87kajs0lQR0hzkMQytG/fPmpooSyZgyRud2vXrk0CVOhCOAmI21T/EBY9DWdbmlUWtzcWC0Zq1jQyFHYnPUw/RvIWNRJvUpvFMFAmUYyaGUhD5hdAQCASBPTcXHLyxy1KWXfv4H9UCRjZstenLc/5kk8LRazm/aL4+yKK2EBeVw6SeATk5UJ1dZAh2eWFhHyCvMZkUVgJ+w1JDAINv65tRvvdA71ixYoGc0vEj7y8gy4zDWbEARAAARAAARAAARAAARCIYwKGqa+R8aH747iFaFo4CISkIHXq1Ik6duxIzz33HO0PELZXwiDOmzePDj88uEnl4egYygABEAABEAABEAABEACBcBLQ2HOqoaUqwlkPyootgZBc7KTpzz//PJ1++unUuXNnOv7441VvXnjhBfrqq69ILEviN3rxxRerdPwBARAAARAAARAAARAAARAAgXgmEJIFSTo2ceJEmjlzJrVp04Y++OAD1ddnn31WKUeyyvCcOXN4/rU5nhmgbSAAAiAAAiAAAiAAAiAAAiCgCIRsQZJSxII0YcIEKuJoW7JQrETW6dOnD+Xnhx51C+MEAiAAAiAAAiAAAiAAApEioP26nAz/+YTj+zcj9PeuCtUM40MPNKs5rsOHkX7CSc3Ki0zxQyAsCpJ0R0IX9ujRQ33ip3toCQiAAAiAAAiAAAiAAAg0TED7/XfSSnaQLsuOcFTCRoWVKLXA9L69jWaTgxpHyDP8+gs5oSA1ySreMoSkIMkSSoWFhU32SdZBuvHGG5vMhwwgAAIgAAIgAAIgAAIgEAsCzuv4WbVL17BVbbz5+rCVhYKiSyAkBUmaKq50/rJnzx7lardr1y7lete/f3//LNgHARAAARAAARAAARAAARBgAhs3blQBzr777jvq27cvHXPMMTR06FA2aDVh0QqC3vLly2nu3Ll06623BnFWamYNSUHSeEE3Ad2QPPjgg/T666+rSHYN5UE6CIAACIAACIAACIAACMQ9gU0blcucLBSr9+xF+iFD2I9OC7nZEtzs+uuvp3HjxtHgwYPp888/p3vuuYeOPfZY+vjjj8MW7GzZsmX0+OOPQ0FqxoiFTy0NUNlf/vIXcrlcNG3atABHkQQCIAACIAACIAACIAAC8U/A8NEMMj71JGlff0na/G9IFow1PPsUkcMeUuPfeecduu2222j27NnKgvT000+r/ytXrqQff/xRLZUjU1og0SUQUQVJutKlSxdavHhxdHuF2kAABEAABEAABEAABEAgDAS0Fb+R9s3XpLGiojmdB/+LRemzOSHVIJaia665hk4++WSfcnr16qUMDKJA/frrr+rYU089RdOnT/fJJ8aIL7/80pO2d+9eZX064YQT6IILLvA55s40b948Ovvss+mss87yLNHjPtac88XwIWVfeOGFNGPGDHI4HO7Tk+Z/SC52TVFYsGABLVq0SGnGTeVNhOPh9ANNhP6ijbEnYGczvpNvxrj2Yj8WaAEIxBMBeaMs9wdxdcf9IZ5GJjXaYjJF9PEx+hD37VN1Gj79D1FGZr36tQ3rA4YAF2WJ5n1NBp5zH1DYi4qqqgIeksSSkhI190iWywkkMg9J1hKVZ+lDDjlErS06cOBApdy484vCJMvqSN7Kyko6/PDDqVWrVnT55ZcrC5QoXi+//LJSaOQciQ8g65Red911tG3bNpW+Y8cOtd+c8//617/SM888Q1dccQV17txZnbd161a64YYbPr6WwwAAQABJREFU3E1Kiv8hXeFygz7qqKPqgRC3OoG8atUqSk9P9wxKvYwJltC+ffsEazGamwwE5OYo3yMICIAACPgTyMvL80/CPghEnECHDh0iXkdUK9hdp+AYVq0MulpNXlQs/qnB8/SqygaP/fRT3Xndu3cPmMdisVC/fv3o559/piuvvDJgHu9EUVyKi4tV/pycHLrqqqtUMDVx4Tv//PNVVrH2vPHGGyQWJpGMjAy6//776eqrr1aKT2PniyL1wAMPkFigxowZo87v2LEjzZo1i5eQYutaGOZjqULj4E9ICpK0XxShQCKLxYqGKpPOEMUuECGkgQAIgAAIgAAIgAAIxJxA5y5E7C7nuPzPRB061muO4ZuvSPtugXKv8z4oM4P0rl3JddFl3smebeND9xPl5Xv2/TfciqZEf+7UqZP/YbUvx1q3bh3wmH+izFkqKCigRx55xHNIrERiqRIrj4goRGPHjlXb8ue4446jJ598koqKipTFqbHzxdXPymtFjR492nP+pEmTSD7JJiEpSKIpuv0ikw0M+gMCIAACIAACIAACIJACBNyWD1FE2F3NX1y80Ktxyc+k88KvmrjNsaiwCRyC23Xm2QHPUZmkXHfZKsH3z5AhQ5SHiITfHjBggO9B3tu9ezdt2bKFxK3OLf4BG2w2m/uQcp8TBcjb7VZiAdx1112eNHHHS0tL85zTrl07tV1bW9vk+aJoiUdLMlmKPCD8NkJSkPzKwi4IgAAIgAAIgAAIgAAIJBcB9opy3nw7Gd57m2jtWtJEPWrXnlxnn0tUGNg9rjkAZC7X8ccfT3/729+UFUZc6sXSc8stt5DM9ZHw36LQuAM4iPVm//79nqLFXc5tGZJECezwv//9T5XnVpLWr19PCxcupLZt26rzNm/erBShNm3aqH1ZrsdoNJK4+TV1fs+ePZXSVlpaSm7FaunSpaqt7733nrJOqUKT4E/Eo9glASN0AQRAAARAAARAAARAIJUJsKLiuvYGcv79n+R47Ely3n0v6b37hExk6tSpJHONRo0aRfPnz1dzeWRf1kN66aWXSCLXiZIk0qdPHxUOfN26dSTR5kSRkkBObqvSn//8Z6UwyZwiCcYg84kmT56szpEy3SLrlEqQl++//55effVVFdBBrEpNnf+HP/xBWbqmTJlCGzZsoLKyMpIoeqJ8ieUqmSRoC5JA/fTTT4NiIJE05AMBARAAARAAARAAARAAgYQlwFYeDi0XtuZLMAVZGPbuu+9WYbNlLpBEoTvxxBPVWqKSLpYlCcktCpFEiO7du7dyk7vkkkvUYrJul7fhw4fT22+/TTfeeCM99thjar6QLDYrlii39O3blyTYgsxrqmaXQSn3iSeeUIebOl8sXhLWW0J8i7Im8QaknRK4IdmEQ7pz2IkgRDTFjz76KIgzSEXGkEgaEBAAARAAARAAARAAARCIBwIy70aUBMOH08nw7TxyjR1PelMBEThoglZTQ3ozIhsbPp5F1KkzOW+7U1mJmmNlkaAKEihB3N5EvvjiCxI3NolE5xaZC5Sdnd2o1UbKEcuOt+XIfb78r6ioUHWIghZImjp/586dSgETJSkZJWgFKRkhoE8gAAIgAAIgAAIgAAKpRcCjIH0yiwxffhGRzus9epLzhpubrSBFpBEoNGgCQbvYBVtDeXm58lFEqO9gySE/CIAACIAACIAACIBApAm4jjuBw3UXBlwM1r9uWUxWKysl58WBQ3v759e7dvNPwn4CEAhZQZLwg3fccYeKnS5rIrk99mTSmGjm+3h1YonEcd999yUAjsabKJPdICAQTQKyOLGE8JTJlhAQAAEQcBMQt5bMzEzlJiOTrSEgEC0CLg5zLe5V0ZRDDjkkstVx6Gr90KHNq4PXRKIy1qWGHta8/MiVkARCjmInE8TeffddpQzJDVuUIpm4JeEFRTmSyVtnn80x4iEgAAJBE5DvkTtUZ9An4wQQAIGkJSCTsnFvSNrhjeuOyYvwaH/iGggal5QEQlKQqqqq6KuvvlJhASWu+kMPPaQibnz55Zdq1V5ZmGrNmjXUo0ePpISHToEACIAACIAACIAACKQWgaCim6UWmqTpbUgKksRAl7cIEiJQ3mYddthhKi77qlWrFKCHH36YJCTg66+/njTA0BEQAAEQAAEQAAEQAIHUJOAaN55cp0xIzc6nUK9DmoPkXoU3nX03RWQVXgknKOEI3f6isqjU4sWLUwgpugoCIAACIAACIAACIBDvBCSUdkNhsBts+4gjGzzU2AF32O7G8uBY/BAISUHq1KmTisMu6yKJIiSDL/OP5s2bRxdddJHq5YoVK0gWnoKAAAiAAAiAAAiAAAiAQDwQEA8o8XKSDwQE/AmEfFXcfPPNdP/999Pq1avpk08+oQkTJqjVeyX61vbt2+mnn35Sc5P8K8Y+CIAACIAACIAACIAACMSCgEwNkYjL0YoCKUYEs9kci66izhYQCFlBuvvuu9UqxL/++quqXlb6lSANjz76qNofNmwYjR07tgVNwykgAAIgAAIgAAIgAAIgEBkCDoeDampqgip8C+ffZXfQIdlZQZ0nrnxQkIJCFtPMIStIMtiPPfaYZ/2j1q1b08KFC9W8Iwn5feSRR8J8GdMhRuUgAAIgAAIgAAIgAALhIHDP2g20dO8++mXkEeEoDmXEKYGQotiJ/+aYMWNUlDpZJNYtYkYcMWIEjR49GtqyGwr+gwAIgAAIgAAIgAAIJDSBWl4o18bPv5DkJhCSgiRoioqK6NJLL6WCggKSRWPnz5/vsSYlNzr0DgRAAARAAARAAARAAARAINkIhKQgyQS3TZs20ddff03nnHMOzZw5k44++mjq3bs3PfjggySLx0JAAARAAARAAARAAARAIJ4JiGWoioM2NPVxHrAeNZVPjlfzB5KYBDR2kwubnbC6upo+/vhjmjZtGs2dO1dFBxk/fjw98MADdNRRRyUmIa9WFxcXe+1hEwQiT6BDhw5ks9lo586dka8MNYAACCQMgezsbMrKyqLy8vKoReFKGDhoaEQJSOS3aP8mDRkyJCJ9krny8uw6bfsOemjDpojUcXJ+Hj3Zr7dabykjIyMidaDQ8BMIOUiDd5Nkwdhzzz2Xzj77bPr000/p2muvpS+++IJGjhyZFAqSd1+xDQIgEF0Chu3bSNu9m1xt25Letl10K0dtIAACIAACSUtgEytJIoOzMimT59E3JqX80rLa6aJu6WmNZVPHFu3ZSxsPlN1kZmSIKwJhVZCWLVtGb731Fr377rtqDaSOHTvSnXfeqeYmxVWv0RgQAIGEIaDt2UPpU18jQ/F24tWoiTgsq7N3X6qefAFRWtM/UAnTUTQUBEAABEAgpgT+2qs7DWLLbLhk8MIfwlUUyokygZDmIElbZZ7RI488QgMHDqShQ4fSs88+q6xFYkFyH+vWrVuUu4XqQAAEkoIA+4Snv/ZvMuwoJvYHJo2VI407ZtywjtLeezspuohOgAAIgAAIpC6Bv//973T//ffTxo0bA0J47rnn1PF9+/apqSuN5Q1YQIBEcZOMp3LcTZQ1VR9//HH3bkz/h2RBkulLhYWFKmqd+Ic+/fTTNHnyZMrLy4tpp1A5CIBAchAwbtxAhrIy0lhR8haNb+6m1atI21VBeptc70PYBgEQAAEQAIGwE3DwM+/7xSX0Kc/7q3XqNKpNDl3auSPlmEJ6lKYnnniCSktL2TnCoQKceTd869atdP3116vn7Msvv5ysViv97W9/U8vodO/e3TtrUNuiIMVTOe7Gi4IkCuPtt9/uTorZ/9BGlZt9zTXXqDDfYj2CgEC8END27iXDzvK6+SpZ2fHSLLQjSAKGCg5OIW51fgqSKobTDRy8wgkFKUiqyA4CIAACIBAMAYlcd9lvq2gxLxAripLImqoqmlVaRjMPHUz5FkswxdXL26dPH/rggw/qKUjvv/8+yXSVbdu2qXMsXI/dbq93frAJ8VaOu/3nnXceySceJCQXOwnzLS51UI7iYSjRBm8CphW/UsZLL5BxzRrvZGwnGAGXKD/8piugcLo6HvAgEkEABEAABEAgPARmlZT5KEdSqp0VpQq7g/6+KfQlbSZNmkRr166lX375xafB7733nlpGx50oVqYrrriCVq9erZJ2c+Ciu+++m44//niV75VXXvFZi3Tq1Kk0ceJEOumkk+iuu+6iiooKdV6kyhF3QJli849//INOPvlkuuOOO2jVqlXu5lNTx3/44Qe68cYbPfljuRGSghTLhqNuEACB5Cfg7NFTudDpmu+tSmfrkbNXb9Lhzpv8FwF6CAIgAAIRJrClpkbVcP2qNXTi4mX1PhIC3G058m6KpH1SWl4vv7sMUaLKbE1bfAoKCtQ6otOnT/cUv379eqU0iXLjFhd7U4gS5LYonX/++WotUrG6DB8+nG677TZ69NFHVfY333yTbrrpJuWOJ2uVfvXVV3TssceqY5Eq57///S9dfPHFJJYviWr922+/0bhx4zztber4unXr1FJB7v7G8n/ILnaxbDzqBgEQSHICBgNVXXYlpb/xChnY79sTxa5LV6o+j6PYQUAABEAABEAgRAJ2V53b3G620BhVKCDfAm2B3LwPZJEZsuWNKEHuhWV9S6y/J0qMWF5kbpCIWI/E+pPWSLTW7777TgVKE6VEpF+/fiqQg2wvXLiQhg0bRjfffDOJx9fo0aPVWqWy9pPse0u4ypEyZe1GqdvEc7MuuOAC6tWrFz388MP0/PPPqyqbOu7drlhuQ0EKgr7/BRXEqcgabQIHvvwyZskwbsnQhxZfAmwlqr7pNjJsLiLDHl4HKb8tuTp1DvAT1uIacCIIJBwB9z0hWe5xCTcAaHBSEeiRkU7f85pFbw4eEDDM91u8kOxjG4uUW513x3mGLB2bl0tP9+/jnezZljDfBdbmzU8688wz1fqhy5cvJwl8JgqSBCxoTC666CK6+uqrldVFLE2nnXaaiiot54gF58QTT1QKihw75ZRT6LrrrlOKiygp3hKucqRMsVKJcuQWcf9bvHixe7fJ456MMd442IMYNyQRqkd0vkQYpbo2OjMzycGbstK8McHdsORGg2uPB5MXiIWAAAjUETCwdVUkJyfHZ85B3VH8BYHIESgpKYlc4XFa8tkF7ejDklJaX1XtUZJM/AI2nb+Ht3XvGpZW5+fn0/jx41WwBvndF87HHHMMybychuSf//ynyjNr1ix65pln1Hwkmfcjbnbi2ibrk06bNo3mzJmj5v8cdthh9OWXX1JGRoZPkeEqRwot5OjW3pKbm0uVlZWepKaOezLGeAMKUhADUC4uPpCEIGDev59kCVFZN8CRwOPWoUMHFfpzJ0drg4AACICAm0B2drZ6ASSTtMMR1cpdLv6DAAjUJ2BhReidQwbSS1u20ZzynSQud39onUPXd+tCHTj0drhE3OxkHSAjz7M966yzfCwx/nVUcRQ9mesjliH5yLyiBx98kB566CG67777aN68eST3CdmXz9KlS2nEiBEk84BOP/10T3HhKsddoMx18pa5c+eSKGZuaeq4O1+s//vOfI51a1A/CIAACESBgMYPlQZeX4Jq6ybmRqFKVAECIAACIJDABDJYabmpsCvNHTaU5o04nB7p0yusypGgEcVlw4YN9MILLygXucZwpaenq3x33nknyYuS6upqKuN1Azt16qTmLYmrnswBkuh4sm7pjh071AvXnj17+hQbrnLchUq9r7/+umqP/BcrlrjwuaWp4+58sf4PC1KsRwD1gwAIRI2AtmcPpb0zjUxFm0hn9wieoEa20UeT7Y8nEh1wWYpaY1ARCIAACIAACHgRaNOmjQrZLeG+R40a5XWk/qbMP5Sw2eJSJ0qRhO6WxWNnzJihMssCs2I1Ouqoo6iGo/SJW+7TTz+tAjd4z0EKVznuFo4dO1ZZrKZMmULiNvivf/1LuQ4297g7X6z/Q0GK9QigfhAAgegQ4HWTMv79Amm7dqn6NH6jxq/VyLJgvlKOlJIUnZagFhAAARAAgTgk8NSmLdTG3PijcXGtjSr596QXB3ZoSgKFBvc/x39O1+zZs32yjBw50meeoViD3HLEEUfQN998Q/t5WoFYkNp6zdWV6Hfvvvuucr2TsOCdO3NwI3kxyCILxUaiHClbIumJG53UKYvcuuuUYyKNHZ88eTLJJx6k8asgHlqINoAACIBAGAiYVvxG4lqn+YVr1fiHzjL/G7KNP5bIbA5DTSgCBEAABEAgkQi0Y4VBZMHuPc1u9qrKqmblbd/MKHbNKqyBTBKQSj6BRCxHXbp0CXSoXlq4ypGCxarVmDR1vLFzo3EMClI0KKMOEACBmBMwlErkJd+1H9yNEiVJKy0lnYNiwNXOTQX/QQAEQCA1CFzZuSOd3DaPDtpmGu63LCYrytHcYYc2nMnrSPsDypdXUtJutm7dWgWGaKiDTR1v6LxYpENBigV11AkCIBB1AnqrnIb0I/WjmPXsP0nnSbj2IYdS7YSJRGlNu09EvROoEARAAARAIOwExA2scyMLsnpXaGWLjEiXZub3PjfZtyWkeGPS1PHGzo32MUSxizZx1AcCIBATAvZBg5V1yP8Noey77UpiSTIvX8ZzlV4kdtyOSTtRKQiAAAiAAAiAQGwJQEGKLX/UDgIgEC0CvDBe9cWXEfGaFTovwqc+XLdbOXI3Q5QkQ8kOkjlLEBAAARAAARDwJiALxMoHktwE4GKX3OOL3oEACHgRcPboSfvv+guZVq8irbyM0r74n9dRr02OEmTYuoVo8CFeidgEARAAARBIdQJ39yikUpst1TEkff+hICX9EKODIAACPgTYb9xx6FBeJLaWrKwgBXwPKD7mvAgfBARAAARAIHkJGHneqZW9CoKRQ4PM7y5b6oIkDgEoSIkzVmgpCIBAOAnwj5yzdx8yrl9XL/Q3sZudmrMUzvpQFgiAAAiAQFwRMLG7tXwgIOBPAHOQ/IlgHwRAIGUI1Jx1Dkl0O/d8JIlip7Nvee3pZ5Ke3zZlOKCjIAACIAACIAACBwlAbT7IAlsgAAIpRkCUo8pbbifzksVk2L6V9MwscnCYb1f7ghQjge6CAAiAAAiAAAi4CUBBcpPAfxAAgZYT4JDYxqJNpO3eTa78fHJ16drysqJ9ptlM9iOOjHatqA8EQAAEQAAEQCBOCUBBitOBQbNAIFEIaBU7KeO1V0j+k0xCdTjIyQpSzUWXskUmM1G6gXaCAAiAAAiAAAiAgCKAOUi4EEAABFpOgC1HGa++TNrOchXoQLPbSeMQ2catWynt7TdbXi7OBAEQAAEQAAEQAIEYEYCCFCPwqBYEkoGAccN60nZVKKXIuz+ay0nqWHm5dzK2QQAEQAAEQAAEQCDuCUBBivshQgNBIH4JGHbtqnOrC9REdrcz7ObjEBAAARAAARAAARBIIAJQkBJosNBUEIg3Aq68PJI1gwIKp7ty+TgEBCJBoLKSDMXbiWqqI1E6ygQBEAABEEhhAgjSkMKDj66DQKgEnN17kKtdezKUlvgstirrCTl4EVY9NzfUKnA+CPgSqK2htA+nk+nXX+rSed0q+7ARVHva6cQrPvrmxR4IgAAIgAAItIAALEgtgIZTQAAEDhDgh9PqS68gV8dOpHOSe8FVZ6/eVHPuZGACgbATSH/zDTKtXEEal6w+HBTEvORnSpsxPex1oUAQAAEQAIHUJIDXbak57i3qtXH1KrJ+NputBaVE1jSyDx9OtcefSMTryEBSl4DeqhVVXXsDGXYUH1gHqS3pvBYSBATCTcDA0RFV8A9WirxFY3dO09IlpJ1wEuk5rb0PYRsEQAAEQAAEgiYABSloZKl5grizpL0zjU0EunprK37/5u8WkmHbNqq+Ygq/ypV3uZBUJuAq6EAkHwgIRIiAoWRHnRsdh5OvJxIUpKSEnM1QkKyzPyE9I5Ns44+pVwwSQAAEQAAEQAAudrgGmkXA+vFMFcrZWw2St7bGTRvJuGZ1s8pAJhAAARAIhYBYK4nX3goonK6OBzzom2j+cRGZli/1TcQeCIAACIAACBwgAAsSLoUmCWh79pBh//7A+dhyZNy0iZx9+wc+3pxUfrAxf7eALN8vJI0jUznbF5Dt+BPI2bNXc85GHhAAgRQhIEFB9MxMon37fNbe0jUDudq3I2XFTBEW6CYIgAAIgEDkCMCCFDm2SVOyznOMfD3+vbomrnVWq1dC8JtpH7xH1jk8t2nnTtJqashYtInSX3mJTCt+C74wnAECIJC8BDhKXfUllyv3OBUQhPclYqLeOoeqL7wkefuNnoEACIAACESVACxIUcWdoJVlZJCzWyEZNxf5vLVVvWE3O8eAQS3umGHLZjItW+pTrnLj47lO1pkfkKP/ACID9PgWA8aJIJBkBFwdOlLlHf9HplUreCHi3eTKy6+7T7CiBAEBEAABEACBcBCAghQOiklWhvWTj1hp4YhQ3v0Sv39WWsSSJOkeixK/wc148TnvnMFty2Rrv4hU7gIM7G6X9cC9LVOQHA7VxrSPZhDN/thdZML938/KoWHMWCL5QEAABOoIWCzkGDIUNEAABEAABEAgIgSgIEUEa2IXaty4nrSqKtLz8nw7kp5OVFtLJEoNP7jr4loXhhDfWqCIVAdq1tPSiBLhzbDNppgRW9Q8bIRXiNH9NHY71Nf8DgXJ90rEXjwQ4EiW1s8/4wVbl5PGLySchd2p9uRT1cLB8dA8tAEEQAAEQAAEWkoAClJLySX7eWwZqrztroj3Uisvo8wnH69nRRILlc6uM5W33RnxNoRagWnxT5T24fSDboJibWOFydGvP9Wcc17Li2dlK/vuO1p+Ps4EgUgR4JcaGc8/S4YKnjcoLwVYjKzIZ6xfR1XX3cgBEwoiVTPKBQEQAAEQAIGIE8DkjogjRgWNEdDz23LEuhNJZ0uL221PN/BcArZMVZ8bgnLRWKXhPMYPh2nskqj5uQmqhSt5bpWsEwUBgWQjYP7xBx/lSPqnvgP8fZA1hiAgAAIgAAIgkMgEYEFK5NFLkrbbxo0nZ5cuZP5hEUlIcVfnzmQbPYb0Nrlx30NDaUmd22GglrIVzrhxA7k6dQp0FGkgkLAETGt/91iOvDshSpKsjQYBARAAARAAgUQmAAUpkUcvidru7NWb5JNoIiHQGxVLE8cbPRkHQSA+CegcJEEsvj6BXNxNTYQ5g+624j8IgAAIgAAIBCAAF7sAUJAEAs0lIC6Cem6uxz3Q5zyeuO7o288nCTsgkAwEHIMOCRhdUtYksg8anAxdRB9AAARAAARSmAAUpBQefHQ9PASq/3S+mjMlD4ciaj4Vz6mqnXgm6Tmtw1NJpEvhkOoqQmGk60H5SUHAMfgQcgwcRLpEszzQI7Vga04O1Z54SlL0EZ0AARAAARBIXQJwsUvdsUfPw0TA1aUrVd56B5m/W0DG7dvJ1bo12UccSZIe72Jcu4bSZn5Ihl0V6kFXQjXXTDqH9Pz8eG862hdLAvwCoOa8C8j0yzIyLV9GmkRt7N2H7Ef+gUjC/0NAAARAAARAIIEJQEFK4MFD0+OHgFiKbAn25lwm06e/9rInAp/MJzEWbaLM559RCp+emRk/gNGS+CPASpIs1ooFW+NvaNAiEAABEACB0AjAxS40fjgbBBKWgGXO7HrrT6lQzbZaMi/8NmH7hYaDAAiAAAiAAAiAQCgEYEEKhR7OBYEEJmAs3h4wCpms4WTcXKR6Zvx9FVm++ZoMO8vJxQv32o4eR05eABcCAiAAAiAAAiAAAslKIGktSOXl5fTaa6+R88Aq7+4BlP3FixfTtGnT6KeffnIn4z8IpBwBPS0tYJ9l0r2elUXmRd9R+huvqbWcDHv3qv/pU1/juVYLA56HRBAAARAAARAAARBIBgJJqSDpvFjhI488Qq+//rqPgiTK0ZQpU+ivf/0rbdu2jR544AH6xz/+kQzjiD6AQNAE7MNGkDvyns/JPLfEPnAwWf/zsZqf5F7rRv6LC57100+Iqqp8TsEOCIAACIAACIAACCQLgaR0sfvwww9p5cqV9cZo+vTptH//fnr//fcpkyegFxUV0QUXXEAnn3wy9e3bt15+JIBAMhOwHXOccqUzbtxQ101WjMjlItvY8Ry2nG8Nsh9IOF2COTj7Dwh0FGkgAAIgAAIgAAIgkNAEks6CtHHjRpo6dSpdddVV9QZmwYIFdNxxxynlSA5269aNBg0aRHPnzq2XFwkgkPQETCaqvvzPVH3BxWQfNUYpRlXX3EC2P55YpxyxtSigSHpDylPAE5AIAiAAAiAAAiAAAolDIKksSHa7ne6//3668sorqVOnTvVGobi4mDp27OiTLvulpaU+abLzyy+/0J49ezzp2dnZ1KVLF89+Mm9o8vDLH4vFEvlustujYeliMmzYQHqalVyDh5DevUfk602EGrzmz0V0LIYcSjp/RDw3BF7ThngRUPZRrU9KLEh83BiN66N+7UgBgbAQkPtcRL9XYWllw4UYDyxMbTab+XbdgLW34dNxBARaTKC6urrF5+JEEEgUAp7noURpcGPtfPnll6ldu3Y0YcIEFYjBO6/D4SAJ3NCqVSvvZLW/Zs0anzTZefjhh2np0qWedLE0zZgxw7OfzBtVRhO5uIN5eXkR7aZeXUXVDz1ILo6mRjw+6oF83jdkPukUsp59bkTrToTCdVZOKrmh8vAT6bEIxMN+8WVU+8pLdYe8rEZpl1xG2Z07BzoFaUlMQGf3ZPtXX5Bz3TrScnLIPHIUGRM0ouF+UfJZwWgV4XtcNC6HHB4LCAhEk8DWrVujWR3qAoGYEEgaBWnJkiX02WefKfe6QCTlx9DAb8RFUfIW2Zf5SP4yadIkGjlypCe5ffv2tG/fPs9+Um/wPBSRiPf3vbeJtm8jCSut5EC9Nl6fx9azF1GfFJ8XxlzkvbAEHYn4WNSNgO9fsSrdeAvRl+yCWlJCxN8BGn8s1fTqTTWp8l3wJZK6e2VlRH9/jKi2hjS+Z+qsYNi/nUd0ygQicclMNGEvUSffb2LyvQoTK6vVqixglZWVPHWw7p4dpqJRDAiAAAikPIGkUZBeeuklysjIoMce4x9xFrd73D333EOnnnoqjR49mnJzc+v9IO7l8MUFBQX1LgRRkPxFXPRSQTJc7PbGD+US0CKSkvXTjweVI7+K7N9/R7Ud67tJ+mVL7l1WkLIP9DDSY9EgyPb83TjvAt/DEb4ufCvDXjwQkPDuxqpKFcVQ2qMWFOb/Okc6rOKXGa6CDvHQzGa3IYt0pVRUJfC17HYRFHcncS+HgAAIgAAIhI9A0gRpkEh0J510Eg0YMEB9JACDSL9+/ZRiJNs9evSgFStWyKZHJNpdoPlKngzYiBwBmy1g2fLwpbH7HQQEQCAOCNTUkHHTRo9S5NMidsc1rfjNJwk7IAACIAACIJDoBJLGgiTzjrxFFoOdM2cOnX/++Z6JuGIVuvfee+mUU06h/v3708yZM8nGD+miWEGiT8DVoSMZxMXOr2qdH7qchd19UrU9u3n9nf+Q6ffV/Nqapyz16UO1J59Keptcn3zYAQEQCC8Bja0T/t9RTw06u3bZA7/o8OTBBgiAAAiAAAgkGIGkUZCaw/3II4+kc889l6655hqSyD9iORIXvKysrOacjjxhJlDL8xfSX35RzbFxP4DpPE9M5/GwDz/CU5vG810ynvknW5WqSTvga29auYJM69dR5U23kt4Kk5Q9sLABAmEmoHMETxcHAjB4RfX0rsL/ZYb3MWyDAAiAAAiAQCISSFoF6fDDD6dvv/223phceumlyqokc4/y8/PrHUfCAQI8/yXjhWcjjsPVth0ZdlXwW2i7GIZI54nHoiBlvPpvT91aRQVpPBHZrUTJAVGUdFaYRHHScyMbbc/TEGyAQIoSqJl4JqW/+bpEDPF8D3UOfOPsVkjOvv1TlIpvt8XKrfGcJld+WyK+j0FAAARAAAQSl0DSKkiNDYmsfQHlqDFCfIwfhIybi5rIFN7DogCJlYi2bW1WwSq/TLJO4InWzeooMoFAjAk4+w+g6suuJOuc2WQo2aFeZNiHjSDbcX+UOPQtb51YhGUuYlpay8uI8ZkaW9bS3plGpqJN6iWPLFdgGzOWbMefULd0QYzbh+pBAARAAASCJ5CSClLwmHAGCIAACKQ2ASeHd6+6/qbwQLDVkvU/n5B5yc8qkqUrM4tsJ5zo41obnooiXIpY2l96gbTdu1RFSlVkpc8iIdBFURIlCRI3BDT2VjCya7aIk6MvYg5r3AwNGgICcUcAClLcDUmcNIjfCjs7d4mLxmj79vIDCLuv+LVGueTx/CM9WRdKFCve1i1+vcYuCCQ+gfTXXiHjls2eMP+Gyv1kncULcbOrrf0PoxKmgxLBT7nWHZgb6W64rO1mmf8N2XjdMDLhZ9bNJZb/Lbyem+WL/x0cD4eDLaAn8BgdE8tmoW4QAIE4JYA7d5wOTMybxfMLqq65PubNUA3gH7J0npMkLn/uRWXV/IdOnan6yqsO/uDFR2vD1wpZB+nuO8JXHkoCgTggYFy7pu677K9U8L718zlkP+IoIr7/JIIYSksabKYsqCuWJV3mJEEUAa28TLlpSoAduYc7Bh1CtSdwFFlewzCSIoqsKEdq/S6vNaMscz8nFy+A7Rg4KJLVo2wQAIEEJAAFKQEHLeWazG9gqy//M5mWLiaJXifi7DeA7IcPS5gHqZQbM3Q4aQkYeK6NhP5uqZiWL2tw3pLG85Hke663btPS4pt3nihntbVkXLe2efkbyKXV8JzJBkQs3EqBYut3RCQ9nZxtWfli98REEFGOMjmojlgJ1Vp33Gjz4p/ItG4NVd5wS0QDW5gXcsAmtsjXE06TY1CQ6pFBAgikPAEoSCl/CSQIAHnbyJPC5QMBARCIDQHj6lWU8carEa08/cPpES3fXbiRrTsZr7zk3g37f3EJznjzjbCX612gqGfabXcS5cV/RFbrnE9ZOWKrmpeiojwCOMiFZdF3ZDt6nHfXwrpt2LWrnou2VCBjZIiUAhvWHqAwEACBaBOAghRt4qgPBEAABBKUgFZTo1ru6N2n5XMU2XJj+X6hz4OyFFo3p7AVW4aHJxQdjR++zb8uP2ihYAVAz8om+5BD2URijlhfrBs3EG3aSFRdNyYRqyhMBZs2rOcxZ8udn4iSZJQFwCOoIDnZjU7cHb2VM2mGLnNtCwr8WoRdEAABEODZG4AAAiAAAiAAAsEQcIiL68iWB1NwdSuktPfeVpHeiB+QJZCBnp5BVVOuSax1zTgan3HDBnL26kUaK37ErnuuDh1VhLSQwp83YzCsc/9bpyA1I288ZNFNxoBWHNU2XnojkiLBMkyihAUQ2zgEaQiABUkgkPIEoCCl/CUAACAAAiAQXQIOtq5UcpAV87IlvLjqPnIVdCD7YYcTWRJngVXj76so/Z23iDgYA2kG/s8R+EaOJvuoMQ3OsYou5fiqzTF4CJl/XOQJtONunc7h0O18LJLi6tqNaiZfSGnivll7wOJmTaOas84hV5eukawaZYMACCQoAShICTpwaDYIgAAIJDIBPT+fbMcen5Bd0HaWU/rUN0hzsfVLSd1/8/ffkatNmzolKSF7FrlG1/KaUCaOYEi8FpG41amQCawcOfr0JcfQwyJX8YGSHYMG035e8NhQvF2liKUvUaIlRhwOKgABEKhHAApSPSRIAAEQAAEQAIGGCZh//KFuhr9fFlGYLPO+hoLkx0XtctS9Sl5o2PzD9+zu9jvpFjOH+R5MjkNZOWJFKSrCwX5ccbK+X1T6i0pAAARaTAAKUovR4UQQAAEQAIFUJGAoL6/nKubmoO3b597Ef38CPNfIPvpo9fE/hH0QAAEQiCcCUXptE09dRltAAARAAARAoOUEXO3aqYVOA5Wg5+QESkYaCIAACIBAAhGABSmBBgtNBQEQAAEQiD0B+4gjyPLtPDWPRtbScYsEHIhEVDTD5iKyzplNxm1bSbdaOaAFL5IdLbc0d+fwHwRAAARSiAAsSCk02OgqCIAACIBA6AT0NrlUfcnlpGdkkihFuoQp5zV1bGPHk/3IP4RegVcJRl7vKOPF58nIax5pdjsZ9u8ny8JviZYs9sqFTRAAARAAgXASgAUpnDRRFgjEGQFt7x4OrfsDGUpLyJWbR/bhI0jPy4+zVqI5IJB4BJw9e1Hl//2FjFs2E/F6SK5OXXiB2Kywd8T60Qy1vpK3pUqiwNG+vWGvCwWCAAiAAAjUEYCChCsBBJKUgKFoE2W88lLdw5WE1eUITpb531D1hReTkxf6jGvhB04y8+KR/FYeAgJxS4AtR87uPSLXPJuNjCUlgcvXVaDswMeQCgIgAAIgEBIBKEgh4cPJIBCnBFwuSn9rKhG75LhVDPXWmZsri1vuv/teIl4oMd7EtPhnsn4+hwz8dlzclmSuRe0pE3gBUVaWICCQagT4pYa47mmBlCF5eRAoPdUYob8gAAIgEAECmIMUAagoEgRiTcDAk7k1nqvgVo582uN0kWndOp+keNgx/7CI0mZMV8qRtEdzOMi8+CdKf+3leGge2gAC0SfACpKzV281z6le5VCO6iFBAgiAAAiEiwAUpHCRRDkgEEcEtFp2UWsoypWB1SY5Hk/CLoDWOf8hjS1f3iJWLyNH8DKu+d07GdsgkDIEas6YRHp6hiesuDjWiVWJunRNGQboKAiAAAhEmwBc7KJNHPWBQBQIODt2atj9ht3unF27RaEVza9C21VBSqkLdAoresatW8jZp2+go0gDgaQmIBHzKm+5nSzfLySJaKdnZpJ96OGUIcEh5AMBARAAARAIOwEoSGFHigJBIA4IZGSQbfyxZPnqCx+rjARqsB8+nPT8OItkl9bYfCiN9EaPxwFvNAEEIklAvs/HHOdbA5QjXx7YAwEQAIEwEoCLXRhhoigQiCcCtmOPp9oJE8mV3Uo1y8Vrtqi0iWfEUzNVW/SsbHJ07cquQwFuSS4nOQYOirs2o0EgAAIgAAIgAALJSQAWpOQcV/QKBBQBWbRSLVwpc3sampMUJ6xqzp1MGf96jqi6mogDNBBbu4jbXTPpHNJzWsdJK9EMEAABEAABEACBZCcABSnZRxj9AwEhEOfKkTRR54VsK2+9kyPX/UyGHdt50c1snmtxGOlt28lhCAiAAAiAAAiAAAhEhQAUpKhgRiUgAALNImC1kv0PI5uVFZlAAARAAARAAARAIBIEAjj8R6IalAkCIAACIAACIAACIAACIAAC8U8AClL8jxFaCAIgAAIgAAIgAAIgAAIgECUCUJCiBBrVgAAIgAAIgAAIgAAIgAAIxD8BKEjxP0ZoIQiAAAiAAAiAAAiAAAiAQJQIQEGKEmhUAwIgAAIgAAIgAAIgAAIgEP8EEMUu/scILQQBDwGXrtP/du2mRXv3kUHTaHROKxrXOsdzHBsgAAIgAAIgAAIgAAKhEYCCFBo/nA0CUSNg50VTr167gZZVVpGDFSWNa/6kvIKOZgXpiR7dlMIU9sZUVtatoZSeHvaiUSAIgECQBPgeYFryM5mXLiEqK607WRZWhoAACIAACISVABSksOJEYSAQOQLTSso8ypHUovPHyZ/5u/fQRzsr6Iz8PEkOixg3bSTrjOlkLCtT5Tk7dKSas84hV8dOYSkfhYAACARJgF+KpL01lUyrV5HGipJbLO9MI/uNt5CeA0uymwn+gwAIgECoBDAHKVSCOB8EokTgPxW7lOXIvzoHJ3y6c5d/cov3DcXbKf3fL5LhgHIkBRl2FFPGv54jrWJni8vFiSAAAi0nYPrt13rKkSqtppqs//mo5QXjTBAAARAAgXoEoCDVQ4IEEIhPAlVOsRcFln2NHAt8RsOplrn/ZfOUS7nwuXNp/PaauA7LN1+7k5r9/5XiEjp/1RraXmtr9jnICAIg4EvAtPI3Ii/LkfuofDfFquQRzqPt5hcmNTWeJGyAAAiAAAgERwAudsHxQm4QiBmBoVlZ9AUHaPBXk0w8GWl4dlbY2mXcuoWUQuRXorj1GDdv8kttencrK0YrqqqpJsDDXdNnIwcIgIAi0NhLEHmBwWL+cRFZ58wmjZUj5YLbuw+7xp5LeqtW6jj+gAAIgAAINI8ALEjN44RcIBBzAld3LCCzQSPvL62RW5VhMNIlBe3C1j49I6PBsvTM8CliDVaCAyAAAvUIOPr0JTLKN95XdI5m6ezeg0w//0jWj2Yq5UhySBAX4/p1lPHic0QOccSFgAAIgAAINJcALEjNJYV8IBBjAl3TrPRWvz70yOattHR/pXoAOqJVNt3VtRPlm81ha519xJFkmP0fngjua6vSDQayDz8ibPWEWpDGUbysX85lq9ZmcrF1zcFtsw8bzk+G8mgIiSQB62ezyfq/zyJZBcr2JyBWIrbCimXI5wpnpan21NMo/aV/+QRvkNNVMIc9e8i0bCk55LsBAQEQAAEQaBYBKEjNwlSXKSdFogS52CIhD5mp0t8gLoGoZtXZpUY9DHmNxWF8DX5Q0J5kPSR5SNIioAzofzyR9K1biZZxKGEpXz7cFm3kaMo8emzQDCyWHeqc7Oxsysls2DoVTME6R9nTn/5H3ZwMfmg0cPAIE7sGpm3fSoYLLwmmKOQNgoCekV53TYpFAlaJIMhFLqvx4ssoq2NH0qs4JH8AESUpnb8fmrjZreB5TEVFRPI9PHQoaa3bBDgDSSDQOIGKiorGM+AoCCQBAShIQQxidYqsN2E+MEE/VfobxCUQ3ayslFi5Rp2VoZpoX3vnX0jaEWxJWvO7WgfJ1X8A6YXdiVrQDoejzhJVw/MiqtlFMBxifuM10vgB3ac0ebu+6HuqOXw46T16hqMalOFHwGCzU/hslX6FY7dFBOxiPeU3KRa28HqH/3YXprOFyckfwyN/I237Nk7mb418Dz+cTo7JF5Dr0MPcWfEfBEAABEDgAAEoSEFcCjZbakThMol1gj+p0t8gLoHoZj2gIEmlMRmLboVE8nFLC69/FysuIna7nftRfw6Fu/hm/+fFa60ldVapeufwQ6K+cgXZOnepdwgJoRMwsVIqCpKjS1fS27cPvUCU0GIC5m2s7HBIfnkBYRMr6uBDSEKBa3zf8BHe17dtVcqR59iBLKa33qTKgg6k54ZvDTWfurEDAiAAAglKAApSgg4cmg0CIAACsSLgYKuDfeSoWFWPepmAWcLxs4LklpqJZ1JGaSkZSkvqksQ1lhWnmjPOorSZHwS0LhG/UDAvW0a28ce4i8F/EAABEAABJgAFCZcBCIBAYhHIzCRnu/bqQdDHxU56wQ+ETon2BQGBVCOQnk5V191IJragGthiJNEoHYMGk26xBlaOhA9bl7TKfalGCv0FARAAgSYJQEFqEhEygAAIxBuBmrPO4fDFz/N6tuIOWufCp6LsDT2MnDJXCgICqUiALUKiFJF83MLu0i5WlgxVVe6Ug/95bpKroOPBfWyBAAiAAAgoAlCQcCGAAAgkHAEXz4GpuuEWsnx1IMw3W5UcHJ5chflOuN6gwalIQNtVQZa5/yPThvWkW63kYOXeNmoM+3WE+WeZXe1sJ5xUt0bSgfmAwlteKOgc4MHO0ewgIAACIAACvgTCfCf2LRx7IAACIBApAq527ajm3MmRKh7lgkDECGhlZZT53FMSucTj/mbgOUXG31dT9RVTVOTIcFYua5sRB3Owfv4paRxsRZYPcHIAlppzz+PJTIhLGE7WKAsEQCA5CEBBSo5xRC9AAARAAAQShEDaJ7MkNKWKFupuskSYM24uItPyZcqa5E4P13/7H0aSnUP3a7t2EfF8JZ2trhAQAAEQAIHABAyBk5EKAiAAAiAAAiAQCQJGdquTpRTqCStJpt9X1UsOWwLPOdLz86EchQ0oCgIBEEhWAlCQknVk0S8QAAEQAIHEIyDhuSEgAAIgAAIxJQAFKab4UTkIgAAIgECqEXD27qOCJNTrt0Sh6z+gXjISQAAEQAAEoksAClJ0eaM2EAABEACBFCdQM2EiEUeu0w1GDwmd3d+cvXpzmO5DPGnYAAEQAAEQiA0BBGmIDXfUCgIgAAIgkKIE9Nw8qrzpNrJ8/SUZ1687EOb7cLIfeVTYI9ilKGJ0GwRAAARCIgAFKSR8OBkEQAAEQAAEgiegt2pFtaedHvyJOAMEQAAEQCDiBOBiF3HEqAAEQAAEQAAEQAAEQAAEQCBRCEBBSpSRQjtBAARAAARAAARAAARAAAQiTgAKUsQRowIQAAEQAAEQAAEQAAEQAIFEIQAFKVFGCu0EARAAARAAARAAARAAARCIOAEEaYg4YlQAAiAAAiCQlARqa8lYvJ10i5VcHToQYZHXpBxmdAoEQCD1CEBBSr0xR4+DIFBht9NvlVWUzmuUDMnMIAsv5AhJHQLa3r2k7d5FEpZZz8pKnY6jp00SMH87j6yfzyHSdfXRW+VQ9fkXkqtL1ybPRQYQAAEQAIH4JgAFKb7HB62LIYEXtu+gV4tLyMRvhV2kUwYv6vhoj250VKvsGLYqPFUv3b+fPi6voDK7gwaz4nd22zzKNZvDU3gylFJdTWnvv0Om1avqrAL8EOwYehjVnHEWETglwwiH1AfT4p/J+tmnpLlcB8vZs5sy/v0iVd52B4myBAEBEAABEEhcAngdnrhjh5ZHkMCMsp30OitH8vhjk4djfkm81+mkG9ZtpC3sVpPIMnVHKV32+3r6z85d9N3effQa709c8TttqK5J5G6Fte3pU18j09o1pHGpGo+//Df9spzSPngvrPWgsMQkYP3iv77KEXdDrhFyOcn8w6LE7BRaDQIgAAIg4CEAC5IHBTbqEWCFIFVFLEeOAJ3X2ZL0YUkZ3dSJ5xtEWrzfToepro01NfT0tmLuBXsFHSjTzgqAk8f6nk2b6Z3+fcJUU+IWY9iymYxFm5Ri5N0LjRmJkqSddArprdt4H8J2ihHQdu0K2GO5RgzFxQGPIREEQAAEQCBxCEBBSpyximpLNYeDsu++I6p1xlNlpWdOJgow30gsSVuWL6fsF56KXnPDOPF7/u69ZOHyalkp8haxlK2qqqYKdrnLNaf2bcFQWsrmImbA88/qCc9Fk+NOKEj10KRSgsxH09hN1V90vmfoubn+ydgHARAAARBIMAKp/SSUYIMVrebaDx9O+m+/RKu6iNRjYNcxQ8VOcubnt2hyfTu7jYqtafXaZmKrTiH70jgKC+sdi0SChaNjaUccGbaiq7n9XrMm6pVbqzd2tF72pEzQW7UiNqkF7hun6zmYXxIYTuqk2keOJssX/yOxGPkIv3iwjzjCJwk7IAACIAACiUcAClLijVnEW2wfNYbkk8hi/n4hpX08i2zjjyPHYYcH3ZWLSsvp71u3qblH3ifLG+LTjj2WqtOs3skR227NoYNtNhvRzp3NrsPGSpDMl2rDVhCjn/XpsKxMesXPeuQuOI/zFyAAATl79ORJ9qwk7dnj42YnY+8q6ECu9gVuZPifogRsR48jrbyMzEsW11kbD3ynas7+E7natU9RKug2CIAACCQPAShIyTOW6EkYCZzTLp+KWTF5k+cbiUua2FXk/yMcxa5blJSjYLtTzUrRY1u20+ydFSTvtTP4gf6KDu3oovbteHkWNYWcRnAEviP58+O+/SRzj9wi0Vr+r2tnTz53ekr+Zze66kuvoPRXXiKqrKxztWSlU2+TS9UXXpKSSNBpPwL83ao961yyjxnL89WKSLdayNG7L3/pMvwyYhcEQAAEQCARCUBBSsRRQ5ujQuDGzh3pvHZt6Vd+SE7jB6LDsrMonf/Hq0iEvWW8ZpPb6aeKH+qf315C1S6drup40Orxz17d6WUOYT6Dw3zvY6WqJyt813NfkyF8ebjGRqwAlbf/H5l+X63WQXKxq6ZTHoDjePzD1XeU03wCYk2ERbH5vJATBEAABBKFABSkRBmpJGrn7xwM4CN+ON/BFpq+Gel0Fq/Bkxenrl3tLGY6xtI67unLukZL9ld6lCN3gx1sJZIw3he1b0sZbBkRMbM16WqOwicfSCME2OXQMXBQIxlwCARAAARAAARAIBkJQEFKxlGN4z59worRfUVbSOwwYulYyMEU3mI3tlf79lLKUhw3Pa6bJhHoRPFxernNuRvs4rQNNbU0iBeEhYAACIAACIAACIAACDROIH79hRpvN44mIIFSm50eYOVIZr643cBkHoy4gt2xoSgBexQ/TW5tNHnWNfJvlcyfam2qsx75H8M+CIAACIAACIAACICALwEoSL48sBdBAgv27iXTgWAB3tWIwlRUW0tb+BMNkVDXoqyJZSVZZHROKzIEYCtf8H7padTZGp2oe8nCE/0AARAAARAAARBIXQJwsUvdsY96z6udja+xU9XE8VAbvIcXv32gaCt9vXuPsrZkGQ10Hc/DObttfqhFx/z8bLYQPdmzkG7kQA0iMvdIlNEcTn+C0yEgAAIgAAIgAAIgAALNIwAFqXmckCsMBIbwGjzeoaW9i5TocD0iGD5b5uZcsWY9bayp8bii7WeF7InN25Ql6VyOVpfoIlHoZg/uT/+t2E2ldrvi+cfcNnEdeS/RmaP9IAACIAACIAACyUcAClLyjWnc9kiCBIxvnUPz9uz1UZRkdsytXTqSOYIhlL9hq9EmDlTg8POqc3Ddz23bwZH08ustqhq3IP0atrqqil4uLiWJDtjWbKKzeQ2n8zlqHQQEQAAEQAAEQAAEQCB4AlCQgmeGM0IgIAutvlJcQtPLymm3w0ldeIHFa9nN7bg2kQ2lvZqVB/LYjnw7UMlzkkp4TlJHbku8ydh5C2g1L+raXNnGodOXbdxM/8efeJMzV/4eb00Kqj0yn+sv3TrTxPy8oM5DZhAAARAAARAAgcQiAAUpscYr4Vsr82Km8KKl8ommtOY1bQykcZV+JqQDjZA5PPEmMo9IlKNMXr+okJW3fewSWO1yqn604vZamOXv1dX1rGLufvTi4AyywC0kdAJVvKCuhEpfW10TemEoAQRAAARAAARAIK4JQEGK6+FB48JF4Ng2OfTUtu31ipMvwAieu5N9YBHVehniIKEvz91ysbVtu40fzllpkmh1MsfosoK2tEJZxuo30sp5Jubl0mS42tWH04KUXysr6cLV61pwJk4BARAAARAAARBINAJ4vZxoI4b2tohAe4uFHu7ejcROJJYX+S8Lq3bi8NcPFHZpUZnROmkrWy1W8DwjsSjJnCkb/xc72Ks7yqLVhPirhxVEbc9uXlDLvaJW/DURLQIBEAABEAABEEhMArAgJea4odUtICDznAYNzqC5u3bTLruD+mSk07GcJopSPEs5zysKFCBd3m5I22tYYfIXUaKOZMtY0kltDaXNmkmm5UtJE0WRFV/buGPJNnYcUZyPY9KNRaw6xJEoTevZmsdKsrNrN9Jzc2PVEtQLAiAAAiCQpASgICXpwKJbgQl04AfqC9u3C3wwTlMDKUfSVLGdHMqRAZftr1QWJXc+UZwuYNe6njwHKdkk/bVXyLh1i1KOpG8aK4+WL/7LMBxkO/b4ZOsu+uNHwLTiN0p7723laqoUYlaS7CNHU+0pE6Ag+7HCLgiAAAiAQMsJJJ2CtHv3bpo/fz5P1dBpxIgR1KFDBx86TnbJWbZsGa1cuZL69etHw4cP9zmOHRCINwISaKGGI+35i7gKjmndim7r0klFBlzNARvams10LocsPz43slEB/dsSjX0jWw2MWzaT5sdC4++05esvyTbmaPaftEajKagjBgQMpSWU9tZUj3LsboL5+4Xkys1jRWmUOwn/QQAEQAAEQCAkAkmlIH311Vf08MMPK8Womh8WX3jhBXrooYdo2LBhCpIoR1OmTKHi4mIaNWoUTZ8+ncaNG0c333xzSBBxcuQI/FZZRc9sKyYJ0y2BFM7Iz6WLCtqRRMNLFenMlqANzMFbRZI5VHU88iiLuTzRszDpcRi2byMycM/9FCTVcf5uGzh0vKtTp/hNzpIAAEAASURBVKTnkKodNP+wqM5K5OdSKgqzZf7XUJBS9cJAv0EABEAgAgSSRkGys6vFiy++SJdffjmde+65CtUjjzxCL7/8skdBEoVo//799P7771NmZiYVFRXRBRdcQCeffDL17ds3AnhRZCgEfuIQ11etWa8UA5lls48fgl/iNZSWskvZc717hFJ0Qp3bhq1Cj/L6UY9u3kYVDgnTQDSEI9s9WNhVKUcJ1ZkQGqtnZPLZ9edbSZEqgDt/pyHJS8BQXlbPeujurbZvn3sT/0EABEAABEAgZAJJoyCJdejaa6/1KENCpk2bNrRkyRIPpAULFtBxxx2nlCNJ7NatGw0aNIjmzp0LBclDKX42HijaoubZeLfIzm+PF+3dR9/t2Ut/yGnlfSiptyXAxLGtc6iMg0ukGw1xHZY8UgPh6D+A6KP6lkOdXRDFcqS3Tj63wkixTMRyne3bk3HdWhKXSn/B2PsTwT4IgAAIgEAoBJJGQUpLS6MxY8YoFjt37qQff/yRZs2aRZdddpmHj7jWdezY0bMvG7JfWlrqkyY7t912G61atcqT3rt3b3r88cc9+9iILIFdNjttrbUFrERj97oVvGjqhPz8gMcl0ZmVpUJiZ2dnk7GRfA0WEAcHHAdcyaS/+Qf60DYO2hXLJriuuZ7szz9T1wR5UGblSGvVitKvvYEy8hq+HkJtc2uTWRWRnp7uGYtQy0zE8538fRIbZhZbMKP9vdJPPIVs3y38//buAz6O6lr8+FEvllwk27Il23LDNthgY3BoDu1BDKYEU/IgGPjH1ASSADE8EnhAIKEGAskjQOgQek0IAYwJNSF044K7ca9yk6y+2v2fM/aKlbSSVXalmdnf/Xxk7c7Oztz7ndV6z957z23Kpq+B9O9PkSyP/p03bVDrttTp4td2LXJzcyQpwdreOiH2ipfAhg0b4nVojouAawR8EyBFit5www0ye/ZsJ/j57ne/6zwU0KFJJSUl0l0/TEUWu79o0aLITc7tTZs2yZo1OudhV+nRo4ekuHgx0XA9/fI7IzX6UCprn2Vpy9Br0dL1CCbZXvb5ObnF/ZydXPpPKGKeVUttdWn141KtlLHjJPX2OyXw8ccS0nWQkvULjpTvHCBJaelxOV/4oMnaa2fFFulN5GthvXVWkrri76pfP0m6/Aqpvvf/RHThXguObeHk1JNOlvRDD3fqlUj/1O3qTLUvUBL5NZlI15y2IoBA5wn4MkC6++67xbLZ2fwjm2P04osvOoGRfVi2QCmy2H2bj9S4PProo403OckdmmxkQ9wExmRny9e6QGpkcgI7mQ2zG5+aIi19i5VWViqW5Hr79u0S8Oi3XbYwrBXLyNhSW52dEu0fDZTqy5at9TfjdWOLfSDXUq6vx0S+Fqn695SlDmU6zLW2K/6uNFudXHWNJK/WVO+a4r2uaICIvk/oRXGuTyL9k6vDba2U6rWoScD2J9K1pq0IIND5Aju/Duz888b9jD11PsIFF1wgNjfpo48+0iUzkiRPFxQsazSZt7S0VPrpN5MU9wn8evBAydKgNjVi2om9YM/q20fG6Po/FAQQSEAB7T0OFg+Wuj1G7AyOEpCAJiOAAAIIxFfANwHS8uXL5ZRTTpG1a9fWi1XpiusWINk38FaGDh0q8+bNq3/cbth6SEWkBm5g4pY7QzW99ctjRskZffrIWA2IjtCkDHcOGyyXDWw4j8wt9aUeCCCAAAIIIIAAAt4X8E2ANHjwYCnQLEeW6tuGVdkwGFsHyeYOHXjggc6VOvXUU2XmzJlOUGRBkw29q9FhGpMnT/b+lfRpC2zh08s1IHp01B5y5/AhcphmcqMggAACCCCAAAIIIBAvAV/NQbrsssvk+uuvl5NOOknXkgw6abxvv/12J923AVqgZGskXXzxxZKmH7yt5+iaa67RjEw58fLluAgggAACCCCAAAIIIOAhAV8FSJaK+8knn3TSdqdqClSbc9S4TJs2TaZOnaoTW0sTOl1vYxfuI4AAAggggAACCCCAgIivAqTwBe3bt2/4ZtTf6enpBEdRZdiIAAIIIIAAAggggEBiC/hmDlJiX0ZajwACCCCAAAIIIIAAArEQIECKhSLHQACBqAK2ZlU4i2TUHdiIAAIIIIAAAgi4TMCXQ+xcZkx1EEg4gc/Kdsitq9bIksoqXccqSQ7XFO1XDSqSfE2OQkEAAQQQSAwB+4KssrLSSZwV2eKsrCxJ0TXNKAi4VYAAya1Xhnoh4FGBLzQ4umjRUqnbVf+A/gf57rbtMq+iQl7ca6Rk8Z+iR68s1UYAAQRaL2DLrvz1r3+V2traJk+69dZbZb/99muynQ0IuEWAAMktV4J6IOATgd+tXlsfHIWbFNAbJbUBealki5xZ0Ce8md8IIIAAAj4U+Pzzz+WVV16RH/3oRzJixAix5FiRpbi4OPIutxFwnQABkusuCRVCwNsCCysqozbA5iPN2lFeHyDZ0IskHX5HQQABBBDwl8CyZcucHqL//u//9lfDaE3CCJCkIWEuNQ1FoHMEMpOjv63Y1u6pKfLB9lI5ed4CGf/FbJn45Ry5deVqqdSFnSkIIIAAAv4QGDJkiGzevNkfjaEVCSlAD1JCXnYa7SWBqro6WVFVFbMqB7Xn5nPtybEECrk6H+iA7jnSJ4bJEw7pnivv6JwjG1YXWUJ6J107jH6+5Bux21bKNTB6YdNmp2fp5iGDXNujtK6mZmeF+RcBBBBAYLcC48aNk8LCQvnd734nhx56qOTl5TV4f7fHLFEDBQG3ChAgufXKUK8GAtX6Qfpvm7fIF/rBPjc5Rb6X11P2z81psI9f78zRpAcnzVsYt+Y9uH5j3I4deWALip7ZtCVyk3PbAqkFGqxN+XpRk8fYgAACCCDgPYF//etf8v777zsVf+ONN5o0gCQNTUjY4DIBAiSXXRCq01RgeyAgZy9YLOtqasXmsdhQrRdLNstZOtn/0gGFTZ/AFgQQQAABBBDoMoGDDjpInnnmmWbP371792Yf4wEE3CBAgOSGq0AdWhS4XdfTWatDnAK7xmWFZ6s8sWGTTNT1dRKlJ6lFJB5EAAEEEECgCwWCOtIjoF9ohktLQVBqKh8/w078dqcAr1B3XhdqFSEwc6vOZwlPWonYbjdnbNnm+wCpOCtTzuyT36jlbb9bWReU369Z1+wT98/p5gxdbHaHGDzwFw1qV1XX1M9Bijzk+f37xnQuVOSxO3p7jdb5Ma07BQEEEEAgusCcOXPkF7/4RfQHG21liF0jEO66ToAAyXWXhApFClhCgRr9iVasJ6ksGF6ONNoe/tjWNyNDTuvTOyaNeWTDRtkWaGqWrum2j8vvJSf17ngg1lJFD9FhFTZcskwTT9h1tXXU7TpeVtRfzurXt6Wnduljc8rLCZC69ApwcgQQcLvAsGHDnKQMVs86fY+/8847ZfDgwTJx4kQZOnSozJ0715mXlJmZKaNHj3Z7c6hfggsQICX4C8DtzU/WD+4jNdPNgsqma+uk6WPjtdeD0nqBn2kg8tsVqxss5GpBSn5aqhyb16v1B2rnnoUZ6fLKmFG6YOxmmVteIfk6zOK4/DwZ0y27nUeM8dP0P/XUL7+Q1CWLJKR1C+w1Rur24j/yGCtzuE4QSN6wXtLffUeS166RUI8eUnPQIVK3516dcGZOkagCOTk5YtnrrFiChmRd8uGGG26QFM2WamXkyJEyefJkOfvss2XhwoUyduxYZzv/IOBGAQIkN14V6tRA4IqBhXLBoqUNPtSnarro/ulpcqJ+uKa0XmCK9hDVaYfcXavXOim27Zn7apD52yHFktHM+kWtP3rr9szR/yzPLnBhb1FtrWTff48kr9NhiBooWUn74nMJjNlH5MSTWtc49kLABQIpS5dI1kMPiGgvbVIoKCENlrIWL5Ka/zpaao76ngtqSBX8LrB161bp379/fXAUbq+l9rY1kjZs2BDexG8EXCkQfUVHV1aVSiWqwHhN5/3nEcNklL6xalwkGdpzNKlXT3l81B6d9qHeT/an6nym98aNkVe1J+fdsaPlgZHDpa8Gm4le0t9+ywmOkjQ4steZ86OTjlPnzpbe+kNBwBMCGhRlPve0jl3V17EGR1ac17Jut9d4Uglz6TxxHT1eyQkTJsgXX3whM2bMkMpdI0CqdD2/mTNnOtv33Xdfj7eQ6vtdgB4kv19hn7TPgqSn9xohNifJht1ROiaQooYDdG4T5VuBNB1aZ8FRk6JBUu+5c7Sr7cAmDyXqhoy3Z0j6v3aucZKoBl3e7oqmw46tTkklJZK8fXv06umw0dRFC6W2d5/oj7MVgRgJ2EKw//M//yN33HGH8zNo0CBZvXq1WKa7n/70p9KnD6/BGFFzmDgJECDFCZbDxkegtcFR7QEHSe2EA0QHQcenIhzVfwK1NVHbZOF4qn7zSdFOiX79JNhT56qZVXW1Z0mSNOmGvTeEtFfasyU1RZL69ZdQo8QqzpA6bVTUr5Es300wetIbzzpQcdcKHH300TJmzBgnOcPKlSvFgia7P3DgQNfWmYohEBYgQApL8NtfAhYYERz565rGuTV1xYMlacGC+mFJ4dOFdM7U9iFDw3cT+ndQP5CXX3W15w1yrv2VBHvlScVl0z3bltzcXOmmk+IrtcdIdP5cuAS1dyjUrZs4QWB4Y/h3XUDqhg8P3+M3AnEXsHlI9hNZ/vznP8vhhx8uI0aMiNzMbQRcJUCA5KrLQWUQQKCrBGqOPU5SdSJ7SLNYJOlQTishDbJDWdmy7gAdXrdibVdVjfMi0HoBfc1WnfIDyXri0Z1JGnY9017LtQcerL2ADT+stv7A7IlA6wVsvtG9994r1nNktyPLmjVr5F//+pdkZ2fL1KlT5ZBDDol8mNsIuEKAAMkVl4FKIIBAVwsE+xZIxcU/k4y/vSIpy5drD2SSBEbtKdUnTpEAq7539eXh/G0QsNT0FRddLBkzZ0jy+vUS0t6mmoMnSmD/CW04Crsi0H6Bjz/+WN5++22ZMmWKZDSa7/rmm2866yDZkLuysrL2n4RnIhBHAQKkOOJyaAQQ8JZAsH+hVF74E+ebd4lMBmJzVigIeEggqENGK8+9wEM1pqp+EggEAmKZ7M4999wmzdq2bZscddRRMmrUqCaPsQEBtwgQILnlSlAPBBBwj0BkcOSeWlETBBBAwBMC//Vf/yUTJ0500noXFBTI3nvv7dR7u2ZYvOSSSzzRBiqZ2AIESIl9/Wl9KwUsvfgXO8plXU2NDNThAmO7ZWsHQ9Q8Ua08IrshgAACCCDgT4Ea/b/yzDPPlB07doj1Jl1++eUyadIk+eEPf+jMOzrjjDP82XBa5RsBAiTfXEoaEi+BtdU1cvGSZbKqqlrSdF5KrabJ3SMrU/64x1DpncYCq/Fy57gIIIAAAt4U+OyzzyQvL08ee+wxeffdd+WZZ56RyZMny5VXXim33367HHrooVJUVOTNxlHrhBBgkZiEuMw0sr0C1nMUDo5sCdEqDY7s9xLNynP50uXtPSzPQwABBBBAwLcC6zU5yD777CPdNOX8YYcdJna/srLSuW1zjxYvXuzbttMwfwgQIPnjOtKKOAl8pZPzrefIgqLIEtAs0HPLK2RpZcP0pZH7cBsBBBBAAIFEFLAgaIGuK2clR9frKi4ultWrVzv3bfhdRUWFc5t/EHCrAAGSW68M9XKFwLrqWmdYXbTKpOkcpLX6Ru/1sli/1btg0VL5zhez5eAv58jV36yQLRELT3q9fdQfAQQQQKBzBfbaay/p06eP3HbbbfLll1+KpfT+6KOP5LXXXpP58+fLwIEDO7dCnA2BNgowB6mNYOyeWAKDMjOkRofVRSs1OvxuUEZ6tIc8s816wKbOXywBbUtQa12rv2ds2SZfakKK5/caKd1SUjzTFiqKAAIIIOAOgU8++cRZDDYYDMqMGTOcStnisFaOOOKI+qx2zgb+QcCFAgRILrwoVMk9AmM0W91e2VmyoKJSAhHVst6j/XN12EBmZsRW7938/eq19cFRuPbWzpLagDy7qUSm9SsIb+Y3AggggAACrRLo16+f3HrrrdK7d29J1YW2Leur/dicJBtyR0HA7QIESG6/QtSvywXuHj5Upi9bLrO0V8UCI+s5mqDB0S1Di7u8bh2tgPUUWc9R42I9SZ+U7iBAagzDfQQQQACB3QoMGDBA+vfvH3W/2kZDuMMBVNSd2YhAFwkQIHURPKf1jkBeWqo8PHK4LNfMdZbye6AOu7O1kPxQMpOTpUKHQEQr2foYBQEEEEAAgbYKfPDBB3LjjTe26mkPPfSQk8ShVTuzEwKdJECA1EnQnMb7AoN1OJ39+KlM6tVDXijZ4sw9imyXzTyalNczchO3EUAAAQQQaJWApfi2BA1WLL33HXfcIWPHjpUTTjihyfP79u3bZBsbEOhqAQKkrr4CnB+BLhT4SVF/+aSsXFZWVztBUpLWxfqNjurVU76nPxQEEEAAAQTaKtCrVy+xHyvLly+X/Px8sV6lvffeW04++eS2Ho79Eeh0AQKkTifnhAi4RyBHs9Q9tece8srmLfKxzjnKSE6So3r2lCO1Z4mCAAIIIIBAewVsrtHTTz8tTz31lIwfP16mTZsmt9xyi9TV1clpp53W3sPyPAQ6RYAAqVOYOQkC7hVI17lGP+jT2/lxby2pGQIIIICAVwTWrl0r//u//yslJSVy6aWXyjHHHONU3QKkK6+8UmydpNGjR3ulOdQzAQUIkBLwotNkBBBAAAEEEEAgXgKLFy8Wm1tkAZEtGBsue+65p9x0003hu/xGwLUCBEhtuDQpLJrZBi127ahASFNthwuvvbBE1/xOTt65YG6ypnnnWnTNNYj1WW2+nZevZfKuLJPWBluMk4JAZwnYELndlQkTJshhhx0WdTebh0RBwO0CBEhtuEI9ejAvow1c7NpBgcCuDz22uB6vvQ5idvDp4WUN0zW9O9eig5gueHqt/k0laWDh5WsZDu5s4c3IL1NcwEsVfC6wadOm3bYwOzvb2WfLli0yd+5csd8FBQVOkgYWit0tHzu4QIAAqQ0Xwf7AKQh0lkBgVw+SffjhtddZ6tHPU1pe7jxQpWthcS2iG3lpa47+TQX1W/AyD7+n5+bmin3QLC0tlcYLb3rpWlBX/wq8+eab8sc//lGqNUuqfdFnPZ3du3eXK664Qg466CD/NpyW+UKAlSB9cRlpBAIIIIAAAggg4A4BS9Jw1113yZQpU+TJJ590eo9++9vfyuTJk+Xmm2/miyZ3XCZq0YIAAVILODyEAAIIIIAAAggg0DaBWbNmSWFhoZx77rlOsgZ7tq2LdN555zm/58yZ07YDsjcCnSzAELtOBud0CCCAAAIIJKyADrNKXrdWdLyVBPsXiqTyMcSPrwUbTldcXBy1aVlZWVJTUxP1MTYi4BYB3pncciWoBwIIIIAAAj4WSFk4XzKffUaSKit2tjI9Q6pOOVUC+4zzcasTs2kHHHCA3H///TJ79mzZZ599HAQLmmbMmCHLly+XMWPGJCYMrfaMAAGSZy4VFUUAAQQQQMCbAsk6JyXrsUckST8k15fqKsl8+kmpzMmVuqHD6jdzw/sCtvbR8ccfL9OnT5eXX37ZaZAlZwgEAnLJJZdI//79vd9IWuBrAQIkX19eGocAAggggEDXC6S/945oPvKmFdFt6W/PlEoCpKY2Ht9y4YUXOmshWSr6E088UWxo3X777Udw5PHrmijVJ0BKlCtNOxFAAAEEEOgigeT16yQpSoBkC/Ymb9zQRbXitPEWGDVqlHOK0047Ld6n4vgIxFSALHYx5eRgCCCAAAIIINBYIKQZzKL0Hzm7hViEvTEX9xFAoIsFCJC6+AJwegQQQAABBPwuUHPwRNHVQps0M5ScLDUTv9tkOxsQQACBrhQgQOpKfc6NAAIIIIBAAgjUjRgp1cceJyENkkJpaTt/9HbNYUdIYNz4BBCgiQgg4CUB5iB56WpRVwQQQAABBDwqUHvo4RIYO05SFi/W+UhBCQwdLqH8fI+2hmojgICfBQiQ/Hx1aRsCCCCAAAIuEgj16CmB/Se4qEZUBQEEEGgqwBC7piZsQQABBBBAAAEEEEAAgQQVIEBK0AtPsxFAAAEEEEAAAQQQQKCpAAFSUxO2IIAAAggggAACCCCAQIIKECAl6IWn2QgggAACCCCAAAIIINBUgACpqQlbEEAAAQQQQAABBBBAIEEFCJAS9MLTbAQQQAABBBBAAAEEEGgqQIDU1IQtCCCAAAIIIIAAAgggkKACBEgJeuFpNgIIIIAAAggggAACCDQVYKHYpiZsQQABBBBwuUBtKCT/KS2TtdU1MiAjXQ7snispSUkurzXVQwABBBDwggABkheuEnVEAAEEEKgXWFFVLT9evFRKagOSolsD+lOYnib3jRgm/dPT6/fjBgIIIIAAAu0RYIhde9R4DgIIxFRgTnm5nL9wqRw6a64cN2e+PLRugwS0h4CCQGOBOn1dXLJkmWyoqRXrRarSH3utrNGepJ8v+UZCepuCAAIIIIBARwToQeqIHs9FAIEOC3yiw6R+sniZBPVI9tG2rK5O7tMAadaOcvnjHkM7fHwO4C+Br/R1sU6DIXu9RJY6vbO0skoWVlbKqOzsyIe4jUDMBex1+Mj6jbKsqkp7L9PlzII+8t0e3WN+Hg6IAAJdI0APUte4c1YEENglcOOK1WIfbiO/97cegY80cLIfCgKRAhtrayWtmblGqbp9o/YsUbwhYPPHTvt6odyzZp03Kryrlm9t3SbTFi6R97eXyiptw8dlO+RS7b18XAMmCgII+EOAHiR/XEda4WOB2RokHK/DzvxYbLjUev3AG61Y0HTl0uXSI7Xr36ZqQo37K6LVmG2dITAkM1OqmxlGV6PbB+vjFG8I1Orf1RLt9dszO8sbFdZa1gSD8uvlq5r0YNo7xN0a6B2T10v66nw4CgIIeFug6z95eNuP2iMQNwH7NvyQ/DyZrwFSRdDCBW+W8rqg2AfX7ikpmmWsYRt2N1/EepLc0vZ8DdTGduvWsAHc63SBkfpher+cbjKrvKLBPDXrVTpYM9kNyszo9DpxwsQR+LqiUqo0SIpW7DX4mfYmTc7vFe1htiGAgIcECJA8dLGoauIJvHjQd6SmpkY2b97s2cZfr9+2/nXzFnlk5HAZmtX02/2z5i8S+9DR+COHxVIP6nNGd2M+iWcvfpwqfufwIXLNNyt0iFOZk8XOvj44vGd3ub54YJzOyGERQAABBBJJgAApka42bUXAhQLXDx4k5yxYrMOmgtojsLOCNjnyLJ30THDkwgvmgirlam/k3cOHOvON1ukXCEW6DlLvNIY1ueDS+L4Ke2kPZkZysvZsN/5KR5ysivvn5vjegAYikAgCBEiJcJVpIwIuFhimvUovjR4lT27cJJYZKl8/6H5fh6gc2rOHi2tN1dwgYHM9mO/hhiuROHVI1+Do2uIB8qtvVjqJZcLJZexLnZ8W9ef1mDgvBVrqcwECJJ9fYJqHgBcE7EPuZQMKvVBV6ogAAgkuMEkTMRRoam9br83SfNvixNbjfRhf6iT4K4Pm+0mAAMlPV5O2IIAAAgggkGgCmgkzuWSThHT9q1CPnp3S+nGaKIR12jqFmpMg0CUCBEhdws5JEUAAAQQQQKCjAunvvC3pb78lEgiIJXapGzBQKn94loTy8jp6aJ6PAAIJLMBCsQl88Wk6AggggAACXhVI+/B9SX/rTUnaFRxZO5LXrpHs++7RjAnR11fzalupNwIIdK4AAVLnenM2BBBAAAEEEOiogGaRy3hrhiQ1yiZn95MqyiVt1hcdPQPPRwCBBBYgQErgi0/TEUAAAQQQ8KKABUFJ1VXRq15XJ8kbNkR/jK0IIIBAKwQIkFqBxC4IIIAAAggg4B6BUGaWhDTldtSi62QFc3OjPsRGBBBAoDUCzby7tOap7IMAAggggAACCHSBQGqq1I4bLyENhpqUUEgC4/ZtspkNCCCAQGsFCJBaK8V+CCCAAAIIIOAagervT5G6gYOcnqRQapqENGiyn8qp53Raum/XYFARBBCIqYDv0nxXVFTIv//9b1m7dq2MGTNGxo8f3wCsTscmz5o1S77++msZNWqUTJgwocHj3EEAAQQQQAABDwhkZEjlRRdLytIlkrxmtbMOUt2eoyXUrZsHKk8VEUDAzQK+CpDeeOMNuf3222XvvfeWbF0w7uGHH5bjjz9epk+f7lwDC44uuugiWbdunUycOFGee+45OeKII+Tyyy938zWibggggAACCCDQjEDdsOFiPxQEEEAgVgK+CZCCmtrzsccecwKg0047zfF5//335eqrr5aTTjpJhg8f7gREO3bskGeffVa66TdMK1askLPOOkuOO+44GTlyZKxMOQ4CCCCAAAIIdFBgh36p+WnZDrHf+3TLluLMzA4ekacjgAACrRPwTYC0ZcsWZ7jc0UcfXd/yfffdOUnThttZgPThhx+KPW7BkZXi4mJnGN5bb71FgFSvxg0EEEAAAQS6VuCD7aXyP8tWSJ0mXLDJ0tX6+8T8PLm2eIAkJyV1beU4OwII+F7ANwFS7969mwyVe/vttyVFM9yEe4dsaF1hYWGDi2r3N27c2GCb3XnvvffEgq5w6dWrl4wbNy58l98IdJpAsqayzcrK6rTzxfpEqak7s0xlZmZ4uh2xduF4XSmQJMnJSZ5+PaZqMgIrGToPJ3y7K0Xbc+6MXU+y/6cj3+NWVlbJ5UuXS0CDosjyjy1bZbD2JP140IDIzdzuZAEbiUNBwO8CvgmQGl+opUuXyv333y9nnnmmFBQUSCAQkJKSEunevXuDXe3+okWLGmyzO/fee698+eWX9dst4cOLL75Yf58bCHSWgH346dmzZ2edLubnSU9Pd46Zm9tdeubmxPz4HBCBtgrs0A6I5OQUyfXw31W4zbkeXu+nu2aes2LvEZHvcfeuXyTR+ohqNWB6bN0G+eU+Y8LN53cXCBAgdQE6p+x0AV8GSLNnz5arrrpKjjzySDn33HMdVPuGyr6Jt0Apstj98JC7yO3nnXeeE1CFt+Xn58v27dvDd/mNQKcI9OjRw3nNlpeXd8r54nGSmpoa57A7dpTJ9mBdPE7BMX0qUK5zT55et14+3LpdsvX9+9g++XJ8n96S1MEhVsnaMVGnr0Uvv6dn6nwc6z2yD6uWgMiLpayi0ql2TU1tg2uxRP+vtWAoWtlWWytbtm2TlA6+BqIdm20IIIBAWMB3AZLNM7ruuuvkBz/4gVx44YXhdjr/oebl5UlZWVn9NrtRWloq/fr1a7DN7hx11FFNttkQPQoCnSlgAZIlILH09V4tgcDOD2+VOmympVZ8qHMO3tYPwpX6wXV//Vb8xPxekq4fiimJKbBdv7yaOn+xbNAPxOEPy+9t3Sr/2LBJfje0uENBUo6E9O8q5Om/K/vSzwKkqqoqqVUjLxaru5W6ukCDazEoLVXSNAAKX/fItvXWHvXqyp2BVeR2biOAAAKxFPDVp4933nlHrr32WvnZz37WIDgKgw0dOlTmzZsXvuv8tvWQioqKGmzjDgIIdK7ADStWyc+XfCN/3bxF3tQg6bZVa+SM+YukzKPfjHeunj/PdveadbI+IjiyVga0U+G9bdvlja3b/NloWuUITOmdH7WHKFXH3Z1fWIASAgggEHcB3wRImzdvlltuuUUOP/xwGTx4sHz11Vf1P+FkC6eeeqrMnDnTWSQ2pN33NqfIhv9Mnjw57tCcID4Cs3aUyy90Mu9p8xbIdP39ld6neEvAPvD+rWSLBLXa4UE19s3xyuoauXv1Wm81htrGTMB6ExtP0reDW3/kTH2M4l+BPmlp8ucRQ6WP9iTZh5RU7U2yVC/n9SuQH+gQSwoCCCAQbwHfDLF7/fXXnS56S9ltP5HF5iPZWkcHHnignH766XLxxRdLmr4BW8/RNddcIzk5TByP9PLK7b9rb8O1y1c51bUP1kurquUd/bB94+BBMlmHZ1G8IfDmlm1OcNS4tvbheIZ+EL6meGDjh7ifAALRhleFm12lw04p/hbYW5fjeH3vvWSBzlOyuWijsrOk+67Mff5uOa1DAAE3CPgmQJo6darYz+7KtGnTnP1s7pGlBqd4U8CGXt24YnV9j4O1woIk+7lRh2sd1rO7dNMx+hT3C+zQOUfhnqPGta3mg3BjkoS5v19ON/l3aVmT4NnmphzcPTdhHDq7oct1XtA2nTc4TJNA5O5K0R/LOqyprpZNtQEZrGn/d1csEcNoTetNQQABBDpbwDcBUlvgLKUowVFbxNy3rw2ta+5DtQ3BsccP6dEwpbv7WkGNTGCCpv7+T+mOJhOyLc3vGD4cJeyL5PKBhfKZzkOr0WQK4f4im4NSqO/fJ2s2O0psBVZoD7wNV16qAZJ9tWTvr+f06ys/LezXoYQY4Vpu1Ex1VyxbLrPLK5zj2zX9Xq8e4Yf5jQACCLhKwDdzkFylSmXiLhDU4Vf2Abq5Ev5A1dzjbHePwCk6IdvmGkR+W2PX1r49nq4fkimJKTBEezCe2nOETOyRK900m2Ev7c2YosstPDFqD8kiu2FMXxSV2iN/7sIl8k04q5we3d5Dn9CMgQ+u39Dhc9Xp+/WFi5bKPA2OrNiXWBaAva1DoikIIICAGwUiP5O4sX7UCYGoAmN1+E2w2T4kkbH0PER1c+PGbB0K+cSoEfK71WvkHZ1zVKMfpqzn6MqBRbJnNsNr3HjNOqtOFiTdPXxoZ53OU+exoGOupsbfrL3ljdf3a2tDbO5mqQZJjb9YsnmAD63bKAdp2v1k/cKiveWLsh2ySofWWWAUWSwroZUSzVb49a7gaecW7/3bJz1Nv+jZufCt92pPjRFAoLEAAVJjEe57QqCnTta9rKhQ7tAsZ5H/qVuX6C8G9Gcyryeu4reVzNMepJuGFIsM+XYbtxBAoHmBP69cLXd8s6L5HWL0SLUGSWdp71I8y0c6xPaj0sXxPEXcj52TkizvjR3ToUAy7pXkBAgg0GoBAqRWU7Gj2wR+WNBHijLS5dH1G2W1pmsfoLenaRrY7zL3yG2XivoggECMBbbuWhz26LyektfBhDSLNFPcV9qDE/llU7i61m90Su+8qOsShffZ3W+b3/SJ9iJFO7499/uadTTTw8Mm/6k9cJZ4wnrc0jvQ07Y7Rx5HAIHOEyBA6jxrzhQHgcN69tCMdUz0jQMth0QAARcLJO2ahXl2/34yphUZ4VpqymYNto6bM1+styiyWMbA4/N6ydUdTLVfocP3Juvxt+vvyGJJNw7U4XvX69IMXi5LKqucAMnLbaDuCCDQUIAkDQ09uIcAAggggIAvBWyBdPtpXPJ17swfhg9xkmFYD0hmcpKzQOv+OtfzikFFjXdv832bZ3jPHkOlpybacI6v57BMeSOzsuQ3Q7wdHLUZgycggIAnBOhB8sRlopIIIIAAAgi0T2C1Jki4ZeUa+bhM15XS+Gi8Bj5XDRogw7Iy6w/4HV1b6s199nLWntoWCDgLs9pirbEqtp7RP3Th14+2l2lvS61zblvrKokhabEi5jgIIBBDAQKkGGJyKAQQQAABBNwkYMHID+cvFhvmFh7g9oVmvpu6YLE8t9cIGZjx7YKttrj20b16xq36lp79yF1rH1kWvlgHR7YI7cslW2Sl/h6sGRCn6Nyp/rpuFgUBBBBoqwABUlvF2B8BBBBAwHUCNkH+H1u2ymeaEc0m/B+hH8QP0l6RRC+PaBKbyuC3wZF5WLKEqmBQpuvCsDa0rqATg4i/aQDzp7XrZYMGbrma+e2/+/SWC3QxWpvv1JHyUWmZ/HzJN84havW1kJZUKo9p221o3/66GDUFAQQQaIsAc5DaosW+CCCAAAKuE7CFTs/SXpLfrFgtr2qQ9GLJZrlk8TK5ccUq19W1syv0qWaPC6831PjcizS5wAlzF8h/NLjojPLkho1yg14TC46slNUF5TFdjPZXyzqWrtyCvSuXLRcLjOzHiv22NdWusO36OAUBBBBoiwA9SG3RYl8EEEAAAdcJ3KM9Ekurquo/HIc/Dr+ivRUTNe3/ET7OdHmFBoIZLfS+rNclEFoqFkj8RI8xQHuROrIYbEvnsMeCep5VUepi55+pabKPnf21ZLQz1XelBkA7NNiKVrYF6pwgMJ5pxHdnHK1ebEMAAXcLECC5+/pQOwQQQACB3Qi8vmVbfXAUuat9ZH5de5T8HCDF4sO59blEC14iLeN9e/2uXqV4nCfcYxWPY3NMBBDwpwBD7Px5XWkVAgggkDAC1oPQXCnVHgQKAggggAACbRGgB6ktWuyLAAIIIOA6gTGaQvoznWuzc/bJt9Wzif9+n6A/VlNl5+5maJqtfbRRe2gWV1V/i9Po1ng1tPWK4lnsGlVpXRoXS8/wHW1H2m7a0fh5kfeX6nwq64WKPLodtzA9TYZoRrt4ltnlFVLaaBHceJ6PYyOAQPwFCJDib8wZEEAAAQTiKHDZgP5ytqatrtNPx+EPyPZR3xYm/e++veN45q4/9PTigTIm89tU3S3V6A9r1skTmhTBMv6FiwWRR2nGv5uGFIc3xe33wopKOW/hEqnW89vco1SNYGxdpluGFnc4vbgFgdY2S/qwRddx6p2aKtP695Uz+vaJW3vCB7Y2fa6p0ykIIOAfAQIk/1xLWoIAAggkpMCe2dnyyMg95OaVq2W+fghP0Q/93+2RK1cNHKCppOPbK+Il8J9qOu2e6vGQpr+2Hg9bl+iHGkBepNs7o4zMzpK/jtlT1yraLEu0x6ef9u58X9cqsjWLOlpsTaWz+/V1fixYivUaSx2tH89HAAFvCRAgeet6UVsEEEAAgSgCNszuyT1HaC9SSGxyLR+QmyJFBhG2cGy8h9Q1rYFIXlqqnNu/INpDMdvGtY8ZJQdCIGEFCJAS9tLTcAQQQMB/AtZ7RNm9QFcER7uvFXsggAAC7hAgi507rgO1QAABBBBAAAEEEEAAARcIECC54CJQBQQQQAABBBBAAAEEEHCHAAGSO64DtUAAAQQQQAABBBBAAAEXCBAgueAiUAUEEEAAAQQQQAABBBBwhwABkjuuA7VAAAEEEEAAAQQQQAABFwgQILngIlCFOAhUVkry+nUiVVVxODiHlJpqSdq0SaS6GgwEEEAAAQQQQMBXAqT59tXlpDH2wT3zpRckddaXYsl+Q5ryt3b/CVJ94hSRtDSAOiqgK9RnvPpXSfv0Y0kKBvHtqCfPRwABBBBAAAHXCRAgue6S+LNCyevWSuqihSL6oTowfA8JDhwUl4ZmPfmEpCxZ7ARHdoIkXTQy7YvPJammRqrOmBqXcybSQTOff0ZS585xgqMGvhWVUnXWOYlEQVsRQAABBBBAwKcCBEg+vbBualb6P/4u6R+8J5KS4lQrfcYbUruf9uqccpotdx+zqtqQupSFC+qDo/CBk3TF+NSvZknSpMkSyssLb+Z3GwWSNm/e6djoeY7vPA2aNm2UUJ++jR7lLgIIIIAAAggg4C0B5iB563p5rrapc2ZrcPS+05OTpMOznB+nV+czZ5hWLBuUvE7nHLVQkjeub+FRHtqdQIrN6Upt5jsVHb6Yshv/3R2fxxFAAAEEEEAAATcIECC54Sr4uA5pn/xHJwIFm7TQ5q+kffTvJts7tEETM7RUbJgdpf0CwdxcZ4hk1CNoL10oJyfqQ2xEAAEEEEAAAQS8JECA5KWr5cG6JpWWNhnyFm5G0o4d4Zux+Z2Z2eJxQiRpaNFndw8GBwyUUI+eTmKGyH0tEUYot7vUFQ+O3MxtBBBAAAEEEEDAkwIESJ68bN6pdJ19qE5u+jKzD9V1RUUxbUiwd+8WjxfKy2/xcR7cjYBex8r/N01C3bpJSIfahVL0x35nZUvlj86tn2O2m6PwMAIIIIAAAggg4GqBZiYUuLrOVM5DAjWHHylps76QkNY5nI7BbltyhpqjJsW0JZYZL9i/0Fn/yLLXhYsFaHXFxRIs6BfexO92Cphh+ZW/cjLZJW/ZLMFeeRLYe2+R9Ix2HpGnIYAAAggggAAC7hJo+tW+u+pHbTwuEOrTRyou+LGE8r/t3Qn16KE9DudJcMCA2LZOgy7nuIVFzjCwUGqa87tOA6eqqf8vtudK5KOlp0tg/H4a4H5PAvvtT3CUyK8F2o4AAggggIAPBehB8uFFdVuTgjo3pfyKqyRp+zZN2BCSUM9ecatiqHt3qfjppZK8ZrUkb90iwbzeEiwsjNv5ODACCCCAQNsEkrZtlSRNqhO0ZQGay4zZtkOyNwIIIBBTAQKkmHJysJYEbIJ/Z5Vg0QCxHwoCCCCAgDsEkjZtkqyndDFvXTjcGQStvfzVxxwrtRMPdUcFqQUCCCCwS4AAiZcCAggggAAC7RAo0/T25fpToBkyk3SIL6UFgaoqyb7v/ySposLZydEK1EqGLiRucxhrv3NAC0/mIQQQQKBzBQiQOtebsyGAAAIIeFxgva6p9r/frJTPdpQ7LemRkiLTBxbK8fl5Hm9Z/Kqf9vmnklRd7SwaHnkWWxMvfcbrBEiRKNxGAIEuFyBA6vJLQAUQQAABBLwiUKk9RucsWCKba2vrq7xdt12/fJWkaS/SpLz4zbGsP6EHbySvXy8SCEStebKtiVdTTcKXqDpsRACBrhAgQGqDeq9e/MfXBi52jZFAqk5i9vJrL2PdBkeie4/u0kvXUKIg0NUCAQ1kUrTXpz1/V6+uWiPb9IN+XaNG2P27126Q04cNbfRIfO6mbN7qHDg7O1t66d+W20tdQYGzblrUIEmHKPbsW+DZYYr2Hm2lp35GyNBlJfxeSkpK/N5E2oeAECC14UVQVlbWhr3ZFYGOC2RmZkqdfjvt5dde7a5v2ivKy6VMh9NQEOhqgUzLphls39/VV1u2Sk3EOmuRbVmnQ8g2bd8umZ3wITmo7wtWqnVuT1my++c/JY3ZWzJee7V+PbywW0gD1brvHCiV1ovk0WLv0VZ26GeEmk649h5lotoIeEqAAKkNlyvQzPCANhyCXRFos0BIP4x5+bUXDO5ctDcQqPN0O9p84XiCqwUsxmnP31XPlGQdSidSu/Nl3aCN6dYzpR+WA53wRUA4RqvTc7WnHQ0q3hl3dHmH0A+nSuYzT+lC4dbLooBa97ohw6TymMnNDr+LVrUyfS/5TAOqgCKM1V7pvulp0XbrtG32Hm3FrkMyAVKnuXMiBOIpQIAUT12OjQACCCDgK4FjdY7Rw+s3NmmTzT+arI+Rza4JTf2GwN5jpXzwUEld8LWIrYOki3jXDWnbkMTXtQfv1zrfy0IS6zer1eDkgv4FcmFhv/rzcAMBBBDoqAABUkcFeT4CCCCAQMcEqqskde4cSd62TYK9+0hg9BjXLiA6LCtTrikeIL9dsdpJylBnvQcaHI3U7VdoJjtKywKh3FypndC+lN5fl1fINZo9sPFA3Qd0nmNRRjpZBFum51EEEGiDAAFSG7DYFQEEEEAgtgLJq1dL9kP3a1eAZoVzRirp/KCcXKm44McSys+P7clidLSTe+fLhNwc+efW7WJrIY3pli2HaqKEZA2UKPETeGZT9OQANgPosfWbCJDiR8+REUg4AQKkhLvkNBgBBBBwiYAGRVmPPOgMt2oQWpRul6zHH5GKy6a7pKJNqzEwI0PO6de36QNsiZvAiqrqJr1H4ZPZ2lQUBBBAIFYC/s9HGSspjoMAAgggEFOBlKVLJKmqsklmsyQdtpa8Yb3zE9MTcjBPCwzVrJ4pzbTAhthREEAAgVgJ0IMUK0mOgwACCCDQJoGkHbp0gmX92pUmucGTNf1zki2tUBD7yffll/5CdCGkBqfzyh3L3JaaoEP5zizoLa9u3tLkUtk3vedpogYKAgggECsBAqRYSXIcdwnocAv7cBXqrgso6iKEFASaCGiK4aQtm0V0qFQo1/0LbTapvw82BPv1bz69swZNQV1cNB4llOfOuU0ttfU5nX/zgC5EW6KppHtocDdMF4hNtDI8K0vuGDbYSdRQFdK/3119j5cW9ZejevVMNA7aiwACcRQgQIojLofuAgGd05Dxt1ck7fNPJUk/AIeSU6T2oIOkevIJnv3GuAsUfX/KVH19ZL76Vx3eVeW0ta6oSCpPnyqhPn1833Y3NTA4YKDUDR0mKcu/kaSIXiRbPLR2/P4Errsu1v1r18uD6zfouj87N2xXq1nWu5aA5bCePWTm2NEyRzPaWYrvMRoo5qZ6szcwAS8fTUbAMwLMQfLMpaKirRHIfPpJSfviMyc4sv2TgnWS9p+PJOOl51vzdPZJAIHUOV9J5gvP1QdH1uTktWsl+97/E6moSAABdzWx8uwfSWDM3hLaNWwspEPuag/ULzVOOtldFe2i2pRqj5GlsQ4HR+FqhFNdr6tOvOQEGfoa2V+zCB7UPZfgKPyC4DcCCMRUgB6kmHJysK4UsEndqV/PbTrhW79tTfv8M6k5epKEdDV3SmILZLz+mlgSgMji3K+ulrRPP5baw46IfIjb8RbQIY5VZ0wVmXKKJJeWSVB7CCQ9I95n9czxF1RoEgsLHhu9ZsMNWKoLrh7dIzd8l98IIIAAAjEQoAcpBogcwh0CyevXNT/fKDVVnMfdUVVq0VUCzryjppO8rTpJdQFJWbO6q2rGeTOzJNhX02YTHDV4LWTrcMNgM8GR7ZhpSS4oCCCAAAIxFeCdNaacHKwrBULdcqJnw7JKaS+S83hXVpBzd72AfZjUHotoxYZ2hbpr7wUFARcJ7JmdJflpzQ/2GK2L1FIQQAABBGIrQIAUW0+O1oUCdYOHOEFQw8FTOjJFh6eEeuVJsGhAF9aOU7tFoPY7B4glAWhS9Ft6SwxAQcBNAin6/mWZ26ynKM2G2mmx3+H/vLOivZY72ID5Ohfv7a3bZKEO76MggAACiSjQ/NdSiahBm70toMPoKv/fNMl+8H4JaTY7Z8y+BUcZmVJ5zo92rrfi7RZS+xgIVE+aLMnr1knKsqW7XhP6oVOH11WffKoECwtjcAYOgUBsBfbu1k1eHTNKXi7ZIss08+KA9HTZrrMtn9fMdrEsm/R98+dLvnECIwvCavRLg7F67juHD5Ze+v5KQQABBBJFgHe8RLnSCdJO6yXa8T9XS5pmKkvaulWC+fkS2Hsf5jUkyPVvVTMtkD7vQklZslhSVq7UADpDAnvt5fQytur57IRAFwj01vXczo9YDPX/NpTEtBYhDYZ+uniZLK2sEsuQV71r3tPc8nKZvnS5PDRyeEzPx8EQQAABNwsQILn56lC39glkZkrthAPa91yelTACdcP3EPuhIICAyFwdVrd4V3AU6RHQO1/uKHcCp2FZmZEPcRsBBBDwrUB4GLNvG0jDEEAAAQQQQKBlgdW6nlJ68s45To33tOF2azQNvpuLLRprdSyPWHDYzfWlbggg4G4BepDcfX2oHQIIIIAAAnEXKNJ5TTXBxiludp7Wgo+iZrI/xr1iuzmBDQ18eP1GeVDnY1Vp/S3EO0LX0rqueIB0Z97UbvR4GAEEmhOgB6k5GbYjgAACCCCQIAJ7a7rwPXQIXeP8jvYt6ricbuLW4XV/XrdB7tMfC46s2L/vby+Vi3Q+lQVPFAQQQKA9AvQgtUeN5yCAAAIItFrgvW3b5d6162WlDuPK02/1zyzoLaf36S1JOnSL0jGBWl38uFp/YlEsnfgvNCGDzUUKZ7HbSwOnm4cMitk5YlHP8DGqtN0Pae9RoFEgZPcXV1Y6gdKB3XPDu8ftd2z041Y9DowAAu0QIEBqBxpPQQABBBBoncArJZvlxhWrncxo9ow1NTVy5+q1zqT/a4oHtu4g7NWswLT5i5p9rCMPhLPYzS6vkGPmzO/IobrkuQHtPLpUg73OLIT7nanNuRCIrwABUnx9PXF0S+s6V/8T7JaSLAfot225cVh40BMQVBIBBGIqUKPf8N+2am19cBQ+uH14fUnX9Dmjbx/XDt0K19Wtv4/qnScLtZekWtcuCsaoB6mz22o9X3N1Mdp87VUcnJnR5tNb79nsZhaztWBlUEa6WHr0zig2BDFNF/OlIICAPwQIkPxxHdvVijodhnDd8pXyjy3bJEOHutgwgWT9fasOpzhUJ7lSEEAAgY4ILNIvX5ob/mXvOZY+2q1zWzrS7s547gR9j35hQJGUlJRIrS2M7cGyQhe9PWneQjm4R67cMHhQu1pw7sIl8pW+juoaPTtDM/I9NmoP6UGihkYy3EUAgdYI8HVHa5R8us8DOrH1za3bnUmtVRos2arpNqb7ch2WsNrlKV19ekloFgK+ErAPqc1Nk7ftzaWV9hUCjYmrwM1DiqVQe4pszlSadhtZ4G0/dw4bQnAUV3kOjoC/BehB8vf1bbF1T23c1GRyqz3BepH+tnmr/KSwX4vP50EEEECgJYHhumhzHx3itDFKD4dNpD+oEybQt1Q/HvO+QN/0NHlx9Cj559ZtsrSq2hmud3SvHpLXSUPrvC9ICxBAIJoAAVI0lQTYZutalNVFz70TXnAvARhoIgIIxFHAstTdMnSQXLRomQ7hDekXMvoFjJ7Peo9+pevUWPBEQaCjAtZ7NCmvV0cPw/MRQACBegECpHqKxLph/6HYxNjNgUCThqfrY0P0m18KAggg0FGBfXNy5KXRI+XJjSWySCfUF+lwqFP75Mve3bp19NA8HwEEEEAAgbgIECDFhdUbB72gsEBuX7XG+VY3XGPL/JOqAdLJmiGJ4i2Biro6Zx5ZTyYle+vCubS2tsjm27p+0Tv6Y73KNhzu+Pw8Z65HW6tclJEhVw4sauvT2B8BBBBAAIEuESBA6hJ2d5z0B7pQ47bagNhK5BoTSZ2Oe+mrQ15ssUDGb7vjGrWmFqs0ocb1y1fJF5rJyUqhjsm/etAAzQzVvTVPZx8EmggENSC6YtkKsQVew9nB3t1WKs9v2iwPjRwuWaQzbmLGBgQQQAAB/wgQIPnnWrarJRdoIoYzCvrIQh36kqPrII3IynKSNLTrYDyp0wW26RDJsxcsltJA+GOsyNqaWvnpkm/k/hHDZP/cnE6vEyf0vsDfNUnL+9u/DY6sRdaLtETTdj+oX6j8tKi/9xtJCxBAAAEEEGhGgDTfzcAk0mZbGNY+SI/KziY48tiFf25TiZRrso3G6Tbs/l2r13qsNVTXLQKvb9naYOhtuF4WJNljFAQQQAABBPwsQIDk56tL23wv8NWOCueb/WgNXazf9lMQaI9Aua6H1lyxtdIoCCCAAAII+FmAAMnPV5e2+V4gTxMyWGKNaCVHewYpCLRH4ADtUbZMl42LvaLGa1Y6CgIIIIAAAn4WIEDy89Wlbb4XOCE/+tof9uH2+5pxjIJAewSm6rzE7hpgp0bESPafRVpyks4/YgHp9pjyHAQQQAAB7wgQIHnnWlFTBJoIfEdTL5/fv8DpRbKgyL7htw+1+3TLlos0jbtfy9rqGifD2mzN3Fen82IosRXooT2TT+05Qo7o2UMy9XVlr60J2qv0l1EjpDgB1kgr06QnWzTDJwUBBBBAIDEFyGKXmNedVvtI4MeaifCInt3F0jBX6vyQ8Tnd5FBN8Z2kH2r9VixJwA2a0vzvmijAFjS24KhA05rfPXyIDNcMjJTYCfRV19uGDo7dAT1wpKU6b++65Stlnmb1tDJAF7W9tnigExx6oPoJVUVb921tTY301qUpWPstoS49jUWgUwQIkDqFmZMgEF8By0BoP34vv1+1Vt7cus1pZs2unqN1mtb8/EVL5bUxe0o28678/hKIW/s26uvIUuZHJqFYrT2VP9bX1qOj9pAx2itL6XqBgP7dW4bOZzaW1K/RdZh+IXTD4IHSnUWyu/4CUQMEfCLAEDufXEiagYDfBaq1d+z5ks1NsvbZALsKTXU+Y1fg5HcH2hcfgSc2bJSaUPSU+f+3Zl18TspR2yzwu1Vr5DldsPjbld9E/lVaJpfo2m8UBBBAIFYC9CDFSpLjIIBAVIHJeT21dys2+ZRbAAAbvUlEQVRLh8J07O2mpLZW1+aJPt/IEk/bt/0UBNor8FV5RdS1n+wVN3/XkLv2HpvnxUagVBfGtuCo8buAvS98rdfvs7IdLI4dG2qOgkDCC/i2B+n999+XL7/8sskFrtNxy59//rk88cQT8umnnzZ5nA0IIBBbAUskcXrf3h0e/pKvcw2aS1xub2SFOl+EgkB7BfJbGJ7VPbW5V157z8bz2iOwvKq62WUNLJGIzSGjIIAAArEQ8GWANGvWLLn22mvl66+/bmBkwdFFF10k1113naxZs0ZuuOEGufPOOxvswx0EEHCnQGZyspzcO7/J+jyWisIe+16vnu6sOLXyhMD3e+dJtP8QU/WD98mkzHfFNczXXujmlim27fY4BQEEEIiFgK/eTQLa/W49Q/YTLYPXc889Jzt27JBnn31WunXrJitWrJCzzjpLjjvuOBk5cmQsPDkGAgjEUWD6wELZVheQmVu378xip4Nteuk3/3/QLHYsjBtH+AQ49OGa0nxq3z7yxMZNmio/SUI6bMuGch3cPUfO6tc3AQTc38SijAzZW5Nl2HC6yDlIVvMs/ZLkEO2tpiCAAAKxEPBVgPSPf/xDXnvtNbnpppvkT3/6UxOfDz/8UI4++mgnOLIHi4uLZcyYMfLWW28RIDXRYgMC7hNI1w9Blnp6eVWVLNbhNJbed5ymNbfhNRQEOipwmQbg39M5cx9sL3WSgeyvaz8dxIfujrLG9Pm/07//8xctEcteGf6rz9AFjP+4xxDJIotlTK05GAKJLOCrAOmQQw6RyZMnS6p+aIoWIK1bt04KCwsbXG+7v3Hjxgbb7M75558vc+bMqd8+atQoefjhh+vvcwOBzhJI07k3BQX+XfS1PY6mcUB7nshzENiNgL22jtzNPm54ODxKIi8vzw3VaVcdduhCzyILJTMzq9XvcXZ9PiwqlLc0zfeS8nLpn5khk/r2lVyG17XrGrTnSWvXrm3P03gOAp4S8FWAlJ+f3yy+Db8rKSmR7t27N9jH7i9atKjBNrtjQ/BycnLqt9v9oKYZpiDQmQLJ2mNihddeZ6pzLgTcL2DvDRYkefm9IaRp1a3YcMa2tMPeFSdp4pdJ0tt5vv3TlufXP4kbCCCAQDMCvgqQmmmjszlFu97tPxQLlCKL3bfgp3G56667Gm8S64GiINCZAv3795daTW+9efPmzjwt50IAAZcL5ObmOl/ibdu2zXmPcHl1o1Zviw6VtVJdXSWbNm2Kug8bEUAAga4QSJgAyb5ps6EIZWVlDZxLS0ulX79+DbZxBwEEEEDAQwI1ugaWfpGg33btttJJGlCkfLNM9BszqRs2XEIRIwV2+2R2QAABBBBICIGECZDsag4dOlTmzZvnZK0LX11LBX7qqaeG7/IbAQQQQMAjAhbsZL7wrKQsWexM2A/26ClV358idXuNjtqC9BlvSPo7b4tOVLVxXTouKyTVJ02R2u8cGHV/NiKAAAIIJKZAtGUffCthgdDMmTOd9ZFszPOLL74oNfrNoyV2oCCAAAIIeEhAh2dl3/MHSVm2tD6bWfL2bZL1xKOSsmhhk4akzvpC0t/9pyTpe3+S9jYl6fDqpGCdZLz84s4epSbPYAMCCCCAQKIKJFQP0oEHHiinn366XHzxxWKZwYqKiuSaa65pkIwhUV8ItBsBBBDwkkDapx9LUmWFBjmNkudoAJTx2qtSMaLh2nbp77/XdN9dDU7794dSN2Sol5pPXRFAAAEE4ijg2wDp8ccfj8o2bdo0mTp1qtjco969v82AE3VnNiKAAAIIuFIgZeUKpxeoceVsbZzkDet3DqGLWB/LhuNFK9ajlEwSlGg0bEMAAQQSViChhtiFr3J6ejrBURiD3wgggIAHBULdciSU1Mx/YRkZojmwG7QqqF+I6ayjJsWOESwgUU8TGDYggAACCSzQzP8uCSxC0xFAAAEEXC9Qu+/4nb1EjWoa0iUdasfv32irSM1/Hd0kaNq5U0hqDj2syf5sQAABBBBIXAECpMS99rQcAQQQ8KxAsHiw1Ew61ukVsqDIeoLsd7CwSKqPbZp4p27kKKk++TQJpaZJSFN8O/tnZknl2T+SYP9CzzpQcQQQQACB2Av4dg5S7Kk4IgIIIICAmwRqjjhSAqNGSercOZKkGUnrioslsNcYZ42jaPWsnfAdqR07TlJWr9oZTBUN2JnyO9rObEMAAQQQSFgBAqSEvfQ0HAEEEPC+gPX+1LSlB0jnoNYNHeb9htMCBBBAAIG4CTDELm60HBgBBBBAAAEEEEAAAQS8JkCA5LUrRn0RQAABBBBAAAEEEEAgbgIESHGj5cAIIIAAAggggAACCCDgNQECJK9dMeqLAAIIIIAAAggggAACcRMgQIobLQdGAAEEEEAAAQQQQAABrwmQxc5rV4z6IoAAAgjsVmBzba28tXW72O/hWZlyZK+ekpaUtNvnsQMCCCCAAAIESLwGEEAAAQR8JfDh9lL5xdLlYuFQXSgkSRoY/Wntenlw5HDpk5bmq7bSGAQQQACB2AswxC72phwRAQQQQKCLBLbUBmS6Bkc1GhhV609A61Grv9dU18jV36zsolpxWgQQQAABLwkQIHnpalFXBBBAAIEWBd7dtj3q43W69dOyHWIBFAUBBBBAAIGWBBhi15IOjyGAAAIIeEpgSyAgoRZqvE0fz0vjv74WiDrtoX7p6fLwyGGSl8qwx05D50QIINAqAf6XaBUTOyGAAAIIeEFgZHaWBJupaLrORRqQkd7Mo2zubIGM5GTZNyens0/L+RBAAIHdCjDEbrdE7IAAAggg4BWBQ7rnyvDMTEltlLAuVYOjC/oXSLp+KKcggAACCCDQkgD/U7Skw2MIIIAAAp4SSNZA6P4RQ+W7Pbo7Weys8pnJSfKTwgI5VwMkCgIIIIAAArsTYIjd7oR4HAEEEEDAUwLdU1PlzmFDpLyuTrYH6qRvepr2KDXqUvJUi6gsAggggEBnChAgdaY250IAAQQQ6DSBbikpYj8UBBBAAAEE2iLAELu2aLEvAggggAACCCCAAAII+FqAAMnXl5fGIYAAAggggAACCCCAQFsECJDaosW+CCCAAAIIIIAAAggg4GsBAiRfX14ahwACCCCAAAIIIIAAAm0RIEBqixb7IoAAAggggAACCCCAgK8FCJB8fXlpHAIIIIAAAggggAACCLRFgACpLVrsiwACCCCAAAIIIIAAAr4WIEDy9eWlcQgggAACCCCAAAIIINAWAQKktmixLwIIIIAAAggggAACCPhagADJ15eXxiGAAAIIIIAAAggggEBbBAiQ2qLFvggggAACCCCAAAIIIOBrgVRfty7GjUtLS4vxETkcAi0LfP7555KZmSkFBQUt78ijCCCQUALr1q2T0tJS6devn2RkZCRU22ls1wqkpKRIVlZW11aCsyMQZ4GkkJY4n4PDI4BAOwQCgYCMHj1a9ttvP3nqqafacQSeggACfhW45ZZb5JFHHpGnn35axo8f79dm0i4EEECgSwQYYtcl7JwUAQQQQAABBBBAAAEE3ChAgOTGq0KdEEAAAQQQQAABBBBAoEsECJC6hJ2TIoAAAggggAACCCCAgBsFSNLgxqtCnRBQAZsIe9ttt0l+fj4eCCCAQAOBE044Qfbcc08ZPHhwg+3cQQABBBDouABJGjpuyBEQQAABBBBAAAEEEEDAJwIMsfPJhaQZCCCAAAIIIIAAAggg0HEBAqSOG3IEBBBAAAEEEEAAAQQQ8IkAAZJPLiTN8KfAW2+9Jf/+97+bbdzSpUvlySefdB6vqamRhx9+WDZs2CCRt5t98m4esEVqX3vttd3sxcMIIBALgSVLlrS43lldXZ3z97127domf99vvPGGfPzxx+2uBn/r7abjiQgg4FMBAiSfXlia5Q+BmTNnykcffdRsY5YtWybPPPOM87gFRbZw5MaNG50PUOHbzT55Nw988cUXBEi7MeJhBGIlYAFS+MuOaMcMBoPy+OOPy7p165r8fb/55psdCpD4W48mzjYEEEhkAbLYJfLVp+2eFzj66KPFfigIIOBvgbS0NHn33XedRu7YscPfjaV1CCCAQBcLECB18QXg9O4WmDdvnnz22WdywAEHyMsvvyybN2+W/fffX0477TQnDbfV3oa+vPrqq/LJJ584t/fdd1859dRTJTU1VQKBgNxxxx1y1llnyd/+9jdZtGiRDBgwQM4++2zp3bt3feNtiMynn34qSUlJMnHiROfHnm8lFArJ3//+d/nggw8kNzdXJk+eLOPHj3ces/pZL9PPf/5z535L/yxevFheeuklWb9+vZMa+Mwzz2xQBxu6Y+ex/caNG+e0paXj8RgCCLRdYP78+c7f7OrVq2XChAly5JFHSl5eXv2BFi5cKM8//7yUlZXJfvvt57zX2PtC+L3k9NNP323q//Lycme43oIFC6Rnz55y7LHHOu9b4ZPwtx6W4DcCCCAQXYAhdtFd2IqAI7Bq1Srnw8qNN94oBQUFMnr0aLn//vudoS5hoptvvlnuu+8+J/AZNWqUM0xm+vTpTmBjwZMFHXZ/y5YtTuBj4/0vv/zy8NPloYcekrvvvtv50DNy5Ei56667nGAsvMOMGTPk7bfflgMPPND50GTH+uabb5yH16xZIza8ZnfFznnRRRdJZWWlHHHEEfL111/LOeecIyUlJc5TS0tL5dJLLxXb7+CDD5b3339fXnjhhd0dlscRQKANAvaFhn2ZYQHKoYceKu+9955cc8019UewwOb666+XYcOGSXFxsfNeEx52F/6iZNOmTfX7R7thf+Pnnnuu/Oc//3Heb2w9tSuvvFLsSxgr/K1HU2MbAggg0FCAHqSGHtxDoInA9u3bnQDGPrRYsaDCent+9KMfiX0bbAGKBUnW82PFApkLLrjA6fGxnicr9i3xeeed59weNGiQXHbZZfXByaOPPip//OMfnV4b28F6lixAsQ9EVvr06SO333670yNlvUf2Yx+0hgwZ4jzemn/uuecepxfMPnxZOfHEE2XatGlOoGfB2rPPPitZWVlOoGffVk+ZMkUuvPBCZ1/+QQCB2AjY3+ExxxxT/wXJIYccItdee62sWLHCOYF9oWJ/o/ZFiRXr7f3yyy9l6tSpzv3W/GNfbFhP94MPPig5OTnO3/LAgQPlT3/6k0yaNIm/9dYgsg8CCCS8AAFSwr8EANidQHp6uvONbni/vn37Oj0wdt+Go9ncABsKEy7Wi2RDZmx4SzhAshXvw8Web6Wqqkqsh8qeP3bs2PDDTg+P9fKEi31YCg+3y8jIcAKjcM9PeJ+WflvyBpsAnp+f7wRA4X2Tk5PFhvNYscdtaKAFR+FidbfhhRQEEOi4gH3hYX9nZ5xxRv3BbPjbH/7wB+e+fdli7zV77LFH/eP2t9+aHuL6J+gNO469//zlL3+p32y9Tlu3bnUSuPC3Xs/CDQQQQKBZAQKkZml4AIGdApmZmQ0oLLAI9+7YPAH7ltZ6X8LFgoxevXqJZZ0Kl8jH7flW7Bg27M6CnsjAJPyc8O9u3bqFb9b/Dp+/fkMLN2zYju1vdYg8j81/sDlNVqwdNoQwstjQHAoCCMRGwIa+2U/ke0HjI9t7Tfj9wR6L/HttvG9z9+1v2Y4T+Vz7UsZ6oezY/K03J8d2BBBA4FsBAqRvLbiFQJsFLOGCfTNrPUnhb36td8fWJ7LEDLsrRUVFYhmp7BgWVFmxRA42L+nXv/717p7eqsftuNnZ2c7Qvchhc5ZUItwzZd9UN04nbvORKAggEBsB+xu0HqOVK1fWJ0ywL1FsiN0pp5wSm5PoUew9xeY4nX/++fXBls1VnDNnjnN+/tZjRs2BEEDAxwIkafDxxaVp8Rew+UbW82Lj/W24nK1BZAkb7INQ5LC55moyZswYGTx4sDPHyD7UWKBkx7LnN+65au4Yrdluc4psqM6HH37oZKebNWuW/PKXvxSbX2XlqKOOchaYtexZ1dXV8s9//tP5QNWaY7MPAgi0TsDm/j399NNOxsva2lp58cUXZfbs2RI5BLd1R2p+r+9///vO+5Ctg2a9RfaFzQ033OAsOG3Deflbb96ORxBAAIGwAD1IYQl+I9AOARsed+utt8pNN90kljbbemSGDh3qJHWwZAsWbLRUbP/f/OY3YlnybG6CDb+xoCuc0KGl57blMUsoUVFR4WTMsqFzNkfBzhee62TZ+X71q1/Jvffe60zmtsdtMnl48nhbzsW+CCAQXcDS+2/btk2uuOIK571ixIgRzt9dLL8MsWDLeqVsbpNlwLOgyJYmsCyVVvhbj35t2IoAAghECiTp3ISdqbIit3IbAQTaLGDpc23cf3heT1sPYL059mHGhuLEq9haKjbvKZwoItp5bEK3BXeRcxii7cc2BBBon4AlTrGhtfZFRDyL/S1bb7S9r0Qr/K1HU2EbAgggoHNACZB4GSCAAAIIIIAAAggggAACOwWYg8QrAQEEEEAAAQQQQAABBBDYJUCAxEsBAQQQQAABBBBAAAEEENglQIDESwEBBBBAAAEEEEAAAQQQ2CVAgMRLAQEEEEAAAQQQQAABBBDYJUCAxEsBAQQQQAABBBBAAAEEENglwDpIvBQQQCDhBYLBoLPQb2sg+vTpE9dU7K2pA/sggAACCCCAQPwESPMdP1uOjAACHhHYunVrq9ekef755+XUU0/t1JbNmTNHPv7445gvIByrRtTW1srvf/97sQWJLYCkIIAAAggg4GUBAiQvXz3qjgACMRGorq6WBx54oMGx/vCHP8iSJUvEfkeWY445RoYPHx65Ke6309PT5ZxzzmlSx7ifuJUnuOmmm+Tqq6+W1atXS1FRUSufxW4IIIAAAgi4U4Ahdu68LtQKAQQ6USAjI0MuueSSBmd88cUXZenSpU22N9ipk+4EAoFOOlP7TuP2+rWvVTwLAQQQQCBRBQiQEvXK024EEOiQwL333it9+/aVgQMHyj333CN77rmnnHvuuc4QMwsYHnnkEfnkk0+koqJC9t13Xzn//POlR48eDc65adMmefzxx2XBggViw/yGDRsmxx9/vHz3u9919tuwYYP86U9/klAoJJ9//rlcd911zjC7qqoq+ctf/iI/+9nP5D//+Y+89tprYue03q2TTz5ZysvL5eGHH3YeO+SQQ+QHP/iB9O7du8G5bdjec889J/Pnz5dBgwY55z3yyCMb7PPnP/9ZevXqJUcccYQ8+uij8tlnn0n//v3ltNNOk4MPPtjZ99lnn5V//vOfzu3f/e53TlvPPvvsBsfhDgIIIIAAAp4S0P94KQgggAACjQQOP/zwUHJycqOt394dN25cyPbROTfOfravDjELbdy4MbT//vuH9D+C0IgRI0InnXRSqGfPnqHi4uLQvHnz6g/w4YcfOs/NyckJHX300aGJEyeGUlJSQklJSaGHHnrI2W/ZsmXOOexYGpg4t+fOnRvSgMg5/tSpU0OZmZkhDahC2dnZzjYdEugcKzc319muvWPOYytWrKg/93333RfSYXvOzwknnBAaP36889zp06fX72M3JkyY4Bxr5MiRITveYYcdFurWrZtTzxdeeMHZ99prrw0NHjzYeb4GTaErrriiwTG4gwACCCCAgNcE7JtJCgIIIIBAI4HWBEgWuFx++eUh7SUKaS+Qc4Rp06Y5wcJLL71Uf0QLTizAsUAmXA499FAn6Fi/fn14U2jVqlWh1NRUJ2Cp36g3LGg677zz6jeFAyTtFQotX77c2a49UCELtqxO2lsVKisrc7ZbPWzbbbfd5txfvHixExhpr1BIe7Dqj6lziJz9Zs6cWb/NAiR7rgU91kYrixYtcs5z0EEH1e/361//2tnPAkQKAggggAACXhdgHST935+CAAIItEdAe43kt7/9rWRlZYn2ssi2bducoXUaPMiUKVPqD2lD2H74wx/KBx98ILNnz3aGzP3qV7+SV199VQoKCur3GzBggBxwwAFiQ+9aU2zYnvZMObtqL1X9sLfrr79eNFhytmug5/xeuXKl89uG7NXU1MhVV13VYNjdL37xC0lLS3OGCzo77vrH5mf95je/cdpom/bYYw8ZO3asaNAXuRu3EUAAAQQQ8I0Ac5B8cylpCAIIdLaAzT/SIW71p9XeGSf4KS0tdeb91D+gNyzDmxXtgZF99tlHJk2a5Mw7smQQX3/9tSxcuFC+/PJL53Zk0OQ8qZl/hg4d2uARS7FtQU5hYWH99vC8p7q6OmebnUd7pMTmFz344IP1+9kNHabn1C9yo7XRsuhFFpt7ZXWmIIAAAggg4EcBAiQ/XlXahAACnSKQn5/f4DwlJSXOfetRst6lyGK9SPajc3mczU888YT8+Mc/dhIq6BweJ7mBpfK2xAnhYCry+dFuNz6/7aPzmBrsqsMcGty3OlqvkA7la7Dd7liSh3DPU/hBC5oaFwuwGh+38T7cRwABBBBAwKsCTf+H9GpLqDcCCCDQxQLhHh1NziBPPvlkg9pYD044eLHsdDpXSTTRg1gPkgVO4WJZ7eIRfISPaXW07Ho33HCDWD0ji2XCixY4Re7DbQQQQAABBPwu0PArTr+3lvYhgAACcRSw4KNfv37y8ssviw2ziyxnnnmm2Dwhm7tjQ+ksGLF5SpHBkQ3RsyF49lhkscDK5g3FoljabysWiEUWmxtlvUc///nPIze36nY48ItVHVt1UnZCAAEEEEAgTgIESHGC5bAIIJB4Ajb/5/bbb5fKykrR9N7y3nvvyaeffiqWAMHWC7J1iyypwujRo525QprOW15//XUnaHrmmWfkqKOOcobmaQa6Br1IthbRO++846yJpJnuOgR74YUXOms23XXXXXL33XeLph6Xp556Sk4//XQnQLrmmmvafHyrn5Wbb75ZXnnllTY/nycggAACCCDgJgGG2LnpalAXBBDwvICuTeQkNbjssssknEHOhq3ZkLpw8GGJD2wIngUotjBsMBh0Fp21bHE2FM/mJuk6SfULxtrzfvnLX8rFF1/sJFKwJAntLRbEWeBmx9J1j+p7qyw73dNPP+0sdNvWY9vCsQ888IDzM2PGDCc4bOsx2B8BBBBAAAG3CCTpuPSGM3jdUjPqgQACCHhcQNc4ks2bN4slYdAFVqO2xuYj1dbWiqX4bqlY4LRlyxYnNbclSYhFsSFxS5YsEct0Z5nvOnpcXYvJyepnSSooCCCAAAIIeFWAAMmrV456I4AAAggggAACCCCAQMwFmIMUc1IOiAACCCCAAAIIIIAAAl4VIEDy6pWj3ggggAACCCCAAAIIIBBzAQKkmJNyQAQQQAABBBBAAAEEEPCqAAGSV68c9UYAAQQQQAABBBBAAIGYCxAgxZyUAyKAAAIIIIAAAggggIBXBQiQvHrlqDcCCCCAAAIIIIAAAgjEXIAAKeakHBABBBBAAAEEEEAAAQS8KkCA5NUrR70RQAABBBBAAAEEEEAg5gIESDEn5YAIIIAAAggggAACCCDgVQECJK9eOeqNAAIIIIAAAggggAACMRf4/4CgK0QpLnf1AAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/svg+xml": {
       "isolated": true
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p + facet_grid(variable ~ ., scales = \"free_y\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we have used the `variable` columns to direct ggplot to make subplots based on the possible values contained in that column, i.e. `uptake` and `conc`.\n",
    "\n",
    "## Stats\n",
    "\n",
    "ggplot can also `stat`istics layers to a plot."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/svg+xml": {
       "isolated": true
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p <- ggplot(\n",
    "    data = CO2,\n",
    "    mapping = aes(x = conc, y = uptake, color = Type)\n",
    ")\n",
    "p <- p +\n",
    "    geom_point(fill = NA) +\n",
    "    facet_grid(Type ~ Treatment, scales = \"free_y\")\n",
    "p"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/svg+xml": {
       "isolated": true
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p + geom_smooth(method = 'lm')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "R",
   "language": "R",
   "name": "ir"
  },
  "language_info": {
   "codemirror_mode": "r",
   "file_extension": ".r",
   "mimetype": "text/x-r-source",
   "name": "R",
   "pygments_lexer": "r",
   "version": "3.2.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}