Index_Generation.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "import plotly.express as px\n",
    "import plotly.graph_objects as go\n",
    "from plotly.subplots import make_subplots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"/Users/akhil/Documents/Fire Vulnerability Project/Input Data/Assembled_Dataset/complete_dataset.csv\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Unnamed: 0',\n",
       " 'STATEFP_x',\n",
       " 'COUNTYFP_x',\n",
       " 'TRACTCE_x',\n",
       " 'GEOID_x',\n",
       " 'NAME_x',\n",
       " 'geometry',\n",
       " 'GEOID10',\n",
       " 'pnhwhitect',\n",
       " 'pblackct',\n",
       " 'phispct',\n",
       " 'ploweconct',\n",
       " 'pelderlyct',\n",
       " 'pchildct',\n",
       " 'palonect',\n",
       " 'pnocomct',\n",
       " 'medincome',\n",
       " 'hunit',\n",
       " 'pnophonebg',\n",
       " 'poldhubg',\n",
       " 'pnohvacbg',\n",
       " 'CTGEOID',\n",
       " 'TotalPopulation',\n",
       " 'ACCESS2_CrudePrev',\n",
       " 'BPHIGH_CrudePrev',\n",
       " 'BPMED_CrudePrev',\n",
       " 'CANCER_CrudePrev',\n",
       " 'CASTHMA_CrudePrev',\n",
       " 'CHD_CrudePrev',\n",
       " 'CHECKUP_CrudePrev',\n",
       " 'COPD_CrudePrev',\n",
       " 'CSMOKING_CrudePrev',\n",
       " 'DIABETES_CrudePrev',\n",
       " 'HIGHCHOL_CrudePrev',\n",
       " 'LPA_CrudePrev',\n",
       " 'OBESITY_CrudePrev',\n",
       " 'PHLTH_CrudePrev',\n",
       " 'STROKE_CrudePrev',\n",
       " 'Join_Count_2020',\n",
       " 'Join_Count_2019',\n",
       " 'Join_Count_2018',\n",
       " 'Join_Count_2017',\n",
       " 'Join_Count_2016',\n",
       " 'CTID',\n",
       " 'total_count']"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(df.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "            \n",
    "pc1_vars = ['BPHIGH_CrudePrev','CHD_CrudePrev','COPD_CrudePrev','DIABETES_CrudePrev','PHLTH_CrudePrev',\n",
    " 'STROKE_CrudePrev','OBESITY_CrudePrev']\n",
    "pc2_vars = ['pelderlyct','BPMED_CrudePrev','CANCER_CrudePrev','CHECKUP_CrudePrev','CSMOKING_CrudePrev']\n",
    "pc3_vars = ['hunit','pnohvacbg','poldhubg'] \n",
    "pc4_vars = ['CASTHMA_CrudePrev','pblackct','pchildct']\n",
    "#'TotalPopulation'\n",
    "all_vars = pc1_vars+pc2_vars+pc3_vars+pc4_vars"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "140"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df[\"phispct\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "for x in all_vars:\n",
    "    column_title = x+\"_rank\"\n",
    "    df[column_title] = df[x].rank(pct=True, na_option=\"bottom\", ascending=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "    .dataframe tbody tr th {\n",
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       "        text-align: right;\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>STATEFP_x</th>\n",
       "      <th>COUNTYFP_x</th>\n",
       "      <th>TRACTCE_x</th>\n",
       "      <th>GEOID_x</th>\n",
       "      <th>NAME_x</th>\n",
       "      <th>geometry</th>\n",
       "      <th>GEOID10</th>\n",
       "      <th>pnhwhitect</th>\n",
       "      <th>pblackct</th>\n",
       "      <th>...</th>\n",
       "      <th>BPMED_CrudePrev_rank</th>\n",
       "      <th>CANCER_CrudePrev_rank</th>\n",
       "      <th>CHECKUP_CrudePrev_rank</th>\n",
       "      <th>CSMOKING_CrudePrev_rank</th>\n",
       "      <th>hunit_rank</th>\n",
       "      <th>pnohvacbg_rank</th>\n",
       "      <th>poldhubg_rank</th>\n",
       "      <th>CASTHMA_CrudePrev_rank</th>\n",
       "      <th>pblackct_rank</th>\n",
       "      <th>pchildct_rank</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>48</td>\n",
       "      <td>453</td>\n",
       "      <td>2110</td>\n",
       "      <td>48453002110</td>\n",
       "      <td>21.10</td>\n",
       "      <td>POLYGON ((-97.691622 30.271748, -97.6913989999...</td>\n",
       "      <td>48453002110</td>\n",
       "      <td>23.856906</td>\n",
       "      <td>29.424307</td>\n",
       "      <td>...</td>\n",
       "      <td>0.760714</td>\n",
       "      <td>0.510714</td>\n",
       "      <td>0.757143</td>\n",
       "      <td>0.767857</td>\n",
       "      <td>0.271429</td>\n",
       "      <td>0.842857</td>\n",
       "      <td>0.671429</td>\n",
       "      <td>0.885714</td>\n",
       "      <td>0.978571</td>\n",
       "      <td>0.457143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>48</td>\n",
       "      <td>453</td>\n",
       "      <td>2111</td>\n",
       "      <td>48453002111</td>\n",
       "      <td>21.11</td>\n",
       "      <td>POLYGON ((-97.70498699999999 30.25097599999999...</td>\n",
       "      <td>48453002111</td>\n",
       "      <td>26.515420</td>\n",
       "      <td>8.277207</td>\n",
       "      <td>...</td>\n",
       "      <td>0.696429</td>\n",
       "      <td>0.453571</td>\n",
       "      <td>0.614286</td>\n",
       "      <td>0.875000</td>\n",
       "      <td>0.528571</td>\n",
       "      <td>0.296429</td>\n",
       "      <td>0.414286</td>\n",
       "      <td>0.885714</td>\n",
       "      <td>0.700000</td>\n",
       "      <td>0.814286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>48</td>\n",
       "      <td>453</td>\n",
       "      <td>2105</td>\n",
       "      <td>48453002105</td>\n",
       "      <td>21.05</td>\n",
       "      <td>POLYGON ((-97.71462799999999 30.315025, -97.71...</td>\n",
       "      <td>48453002105</td>\n",
       "      <td>28.624754</td>\n",
       "      <td>12.259332</td>\n",
       "      <td>...</td>\n",
       "      <td>0.385714</td>\n",
       "      <td>0.325000</td>\n",
       "      <td>0.292857</td>\n",
       "      <td>0.814286</td>\n",
       "      <td>0.664286</td>\n",
       "      <td>0.642857</td>\n",
       "      <td>0.564286</td>\n",
       "      <td>0.735714</td>\n",
       "      <td>0.814286</td>\n",
       "      <td>0.364286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>48</td>\n",
       "      <td>453</td>\n",
       "      <td>2106</td>\n",
       "      <td>48453002106</td>\n",
       "      <td>21.06</td>\n",
       "      <td>POLYGON ((-97.698876 30.303907, -97.698505 30....</td>\n",
       "      <td>48453002106</td>\n",
       "      <td>40.071267</td>\n",
       "      <td>10.236476</td>\n",
       "      <td>...</td>\n",
       "      <td>0.864286</td>\n",
       "      <td>0.807143</td>\n",
       "      <td>0.828571</td>\n",
       "      <td>0.289286</td>\n",
       "      <td>0.150000</td>\n",
       "      <td>0.296429</td>\n",
       "      <td>0.985714</td>\n",
       "      <td>0.457143</td>\n",
       "      <td>0.764286</td>\n",
       "      <td>0.400000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>48</td>\n",
       "      <td>453</td>\n",
       "      <td>2107</td>\n",
       "      <td>48453002107</td>\n",
       "      <td>21.07</td>\n",
       "      <td>POLYGON ((-97.69851799999999 30.289116, -97.69...</td>\n",
       "      <td>48453002107</td>\n",
       "      <td>33.199679</td>\n",
       "      <td>22.052927</td>\n",
       "      <td>...</td>\n",
       "      <td>0.900000</td>\n",
       "      <td>0.700000</td>\n",
       "      <td>0.875000</td>\n",
       "      <td>0.728571</td>\n",
       "      <td>0.300000</td>\n",
       "      <td>0.296429</td>\n",
       "      <td>0.900000</td>\n",
       "      <td>0.910714</td>\n",
       "      <td>0.942857</td>\n",
       "      <td>0.385714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>135</td>\n",
       "      <td>48</td>\n",
       "      <td>453</td>\n",
       "      <td>1757</td>\n",
       "      <td>48453001757</td>\n",
       "      <td>17.57</td>\n",
       "      <td>POLYGON ((-97.76999099999999 30.408648, -97.76...</td>\n",
       "      <td>48453001757</td>\n",
       "      <td>74.977778</td>\n",
       "      <td>2.355556</td>\n",
       "      <td>...</td>\n",
       "      <td>0.921429</td>\n",
       "      <td>0.939286</td>\n",
       "      <td>0.942857</td>\n",
       "      <td>0.071429</td>\n",
       "      <td>0.107143</td>\n",
       "      <td>0.296429</td>\n",
       "      <td>0.092857</td>\n",
       "      <td>0.082143</td>\n",
       "      <td>0.292857</td>\n",
       "      <td>0.464286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>136</td>\n",
       "      <td>48</td>\n",
       "      <td>453</td>\n",
       "      <td>1781</td>\n",
       "      <td>48453001781</td>\n",
       "      <td>17.81</td>\n",
       "      <td>POLYGON ((-97.806761 30.437469, -97.806744 30....</td>\n",
       "      <td>48453001781</td>\n",
       "      <td>70.909786</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.978571</td>\n",
       "      <td>0.985714</td>\n",
       "      <td>0.978571</td>\n",
       "      <td>0.121429</td>\n",
       "      <td>0.071429</td>\n",
       "      <td>0.864286</td>\n",
       "      <td>0.764286</td>\n",
       "      <td>0.185714</td>\n",
       "      <td>0.010714</td>\n",
       "      <td>0.914286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>137</td>\n",
       "      <td>48</td>\n",
       "      <td>453</td>\n",
       "      <td>1777</td>\n",
       "      <td>48453001777</td>\n",
       "      <td>17.77</td>\n",
       "      <td>POLYGON ((-97.861156 30.208181999999997, -97.8...</td>\n",
       "      <td>48453001777</td>\n",
       "      <td>58.193061</td>\n",
       "      <td>5.324631</td>\n",
       "      <td>...</td>\n",
       "      <td>0.396429</td>\n",
       "      <td>0.510714</td>\n",
       "      <td>0.521429</td>\n",
       "      <td>0.378571</td>\n",
       "      <td>0.657143</td>\n",
       "      <td>0.296429</td>\n",
       "      <td>0.064286</td>\n",
       "      <td>0.385714</td>\n",
       "      <td>0.528571</td>\n",
       "      <td>0.678571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>138</td>\n",
       "      <td>48</td>\n",
       "      <td>453</td>\n",
       "      <td>2112</td>\n",
       "      <td>48453002112</td>\n",
       "      <td>21.12</td>\n",
       "      <td>POLYGON ((-97.691261 30.316219999999998, -97.6...</td>\n",
       "      <td>48453002112</td>\n",
       "      <td>31.699226</td>\n",
       "      <td>23.921858</td>\n",
       "      <td>...</td>\n",
       "      <td>0.564286</td>\n",
       "      <td>0.389286</td>\n",
       "      <td>0.475000</td>\n",
       "      <td>0.964286</td>\n",
       "      <td>0.564286</td>\n",
       "      <td>0.296429</td>\n",
       "      <td>0.785714</td>\n",
       "      <td>0.957143</td>\n",
       "      <td>0.957143</td>\n",
       "      <td>0.992857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>139</td>\n",
       "      <td>48</td>\n",
       "      <td>453</td>\n",
       "      <td>2113</td>\n",
       "      <td>48453002113</td>\n",
       "      <td>21.13</td>\n",
       "      <td>POLYGON ((-97.681586 30.316067, -97.6815759999...</td>\n",
       "      <td>48453002113</td>\n",
       "      <td>48.582231</td>\n",
       "      <td>16.770186</td>\n",
       "      <td>...</td>\n",
       "      <td>0.875000</td>\n",
       "      <td>0.775000</td>\n",
       "      <td>0.885714</td>\n",
       "      <td>0.607143</td>\n",
       "      <td>0.221429</td>\n",
       "      <td>0.296429</td>\n",
       "      <td>0.878571</td>\n",
       "      <td>0.760714</td>\n",
       "      <td>0.892857</td>\n",
       "      <td>0.578571</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>140 rows × 63 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Unnamed: 0  STATEFP_x  COUNTYFP_x  TRACTCE_x      GEOID_x  NAME_x  \\\n",
       "0             0         48         453       2110  48453002110   21.10   \n",
       "1             1         48         453       2111  48453002111   21.11   \n",
       "2             2         48         453       2105  48453002105   21.05   \n",
       "3             3         48         453       2106  48453002106   21.06   \n",
       "4             4         48         453       2107  48453002107   21.07   \n",
       "..          ...        ...         ...        ...          ...     ...   \n",
       "135         135         48         453       1757  48453001757   17.57   \n",
       "136         136         48         453       1781  48453001781   17.81   \n",
       "137         137         48         453       1777  48453001777   17.77   \n",
       "138         138         48         453       2112  48453002112   21.12   \n",
       "139         139         48         453       2113  48453002113   21.13   \n",
       "\n",
       "                                              geometry      GEOID10  \\\n",
       "0    POLYGON ((-97.691622 30.271748, -97.6913989999...  48453002110   \n",
       "1    POLYGON ((-97.70498699999999 30.25097599999999...  48453002111   \n",
       "2    POLYGON ((-97.71462799999999 30.315025, -97.71...  48453002105   \n",
       "3    POLYGON ((-97.698876 30.303907, -97.698505 30....  48453002106   \n",
       "4    POLYGON ((-97.69851799999999 30.289116, -97.69...  48453002107   \n",
       "..                                                 ...          ...   \n",
       "135  POLYGON ((-97.76999099999999 30.408648, -97.76...  48453001757   \n",
       "136  POLYGON ((-97.806761 30.437469, -97.806744 30....  48453001781   \n",
       "137  POLYGON ((-97.861156 30.208181999999997, -97.8...  48453001777   \n",
       "138  POLYGON ((-97.691261 30.316219999999998, -97.6...  48453002112   \n",
       "139  POLYGON ((-97.681586 30.316067, -97.6815759999...  48453002113   \n",
       "\n",
       "     pnhwhitect   pblackct  ...  BPMED_CrudePrev_rank  CANCER_CrudePrev_rank  \\\n",
       "0     23.856906  29.424307  ...              0.760714               0.510714   \n",
       "1     26.515420   8.277207  ...              0.696429               0.453571   \n",
       "2     28.624754  12.259332  ...              0.385714               0.325000   \n",
       "3     40.071267  10.236476  ...              0.864286               0.807143   \n",
       "4     33.199679  22.052927  ...              0.900000               0.700000   \n",
       "..          ...        ...  ...                   ...                    ...   \n",
       "135   74.977778   2.355556  ...              0.921429               0.939286   \n",
       "136   70.909786   0.000000  ...              0.978571               0.985714   \n",
       "137   58.193061   5.324631  ...              0.396429               0.510714   \n",
       "138   31.699226  23.921858  ...              0.564286               0.389286   \n",
       "139   48.582231  16.770186  ...              0.875000               0.775000   \n",
       "\n",
       "     CHECKUP_CrudePrev_rank  CSMOKING_CrudePrev_rank  hunit_rank  \\\n",
       "0                  0.757143                 0.767857    0.271429   \n",
       "1                  0.614286                 0.875000    0.528571   \n",
       "2                  0.292857                 0.814286    0.664286   \n",
       "3                  0.828571                 0.289286    0.150000   \n",
       "4                  0.875000                 0.728571    0.300000   \n",
       "..                      ...                      ...         ...   \n",
       "135                0.942857                 0.071429    0.107143   \n",
       "136                0.978571                 0.121429    0.071429   \n",
       "137                0.521429                 0.378571    0.657143   \n",
       "138                0.475000                 0.964286    0.564286   \n",
       "139                0.885714                 0.607143    0.221429   \n",
       "\n",
       "     pnohvacbg_rank  poldhubg_rank  CASTHMA_CrudePrev_rank  pblackct_rank  \\\n",
       "0          0.842857       0.671429                0.885714       0.978571   \n",
       "1          0.296429       0.414286                0.885714       0.700000   \n",
       "2          0.642857       0.564286                0.735714       0.814286   \n",
       "3          0.296429       0.985714                0.457143       0.764286   \n",
       "4          0.296429       0.900000                0.910714       0.942857   \n",
       "..              ...            ...                     ...            ...   \n",
       "135        0.296429       0.092857                0.082143       0.292857   \n",
       "136        0.864286       0.764286                0.185714       0.010714   \n",
       "137        0.296429       0.064286                0.385714       0.528571   \n",
       "138        0.296429       0.785714                0.957143       0.957143   \n",
       "139        0.296429       0.878571                0.760714       0.892857   \n",
       "\n",
       "     pchildct_rank  \n",
       "0         0.457143  \n",
       "1         0.814286  \n",
       "2         0.364286  \n",
       "3         0.400000  \n",
       "4         0.385714  \n",
       "..             ...  \n",
       "135       0.464286  \n",
       "136       0.914286  \n",
       "137       0.678571  \n",
       "138       0.992857  \n",
       "139       0.578571  \n",
       "\n",
       "[140 rows x 63 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "def floor_func(input):\n",
    "    if input >= 0.9:\n",
    "        return 1\n",
    "    elif input <= 0.1:\n",
    "        return 0\n",
    "    else:\n",
    "        return input"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "for y in all_vars:\n",
    "    column_title = y+\"_rank\"\n",
    "    df[column_title] = df[column_title].apply(lambda x: floor_func(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"pc1\"] = 0\n",
    "df[\"pc2\"] = 0 \n",
    "df[\"pc3\"] = 0\n",
    "df[\"pc4\"] = 0 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     -70.8\n",
       "1     -69.6\n",
       "2     -66.7\n",
       "3     -72.3\n",
       "4     -72.8\n",
       "       ... \n",
       "135   -74.4\n",
       "136   -76.2\n",
       "137   -68.8\n",
       "138   -68.4\n",
       "139   -73.0\n",
       "Name: CHECKUP_CrudePrev, Length: 140, dtype: float64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"CHECKUP_CrudePrev\"] = -1*df[\"CHECKUP_CrudePrev\"]\n",
    "#Need to make negative for checkups\n",
    "\n",
    "df[\"CHECKUP_CrudePrev\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "for x in pc1_vars:\n",
    "    column_title = x+\"_rank\"\n",
    "    df[\"pc1\"] += df[column_title]\n",
    "\n",
    "for x in pc2_vars:\n",
    "    column_title = x+\"_rank\"\n",
    "    df[\"pc2\"] += df[column_title]\n",
    "    \n",
    "\n",
    "for x in pc3_vars:\n",
    "    column_title = x+\"_rank\"\n",
    "    df[\"pc3\"] += df[column_title]\n",
    "\n",
    "for x in pc4_vars:\n",
    "    column_title = x+\"_rank\"\n",
    "    df[\"pc4\"] += df[column_title]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"pc1_z\"] = (df[\"pc1\"]-df[\"pc1\"].mean())/df[\"pc1\"].std()\n",
    "df[\"pc1\"] = df[\"pc1\"].rank(pct=True, na_option=\"bottom\", ascending=True)\n",
    "\n",
    "df[\"pc2_z\"] = (df[\"pc2\"]-df[\"pc2\"].mean())/df[\"pc2\"].std()\n",
    "df[\"pc2\"] = df[\"pc2\"].rank(pct=True, na_option=\"bottom\", ascending=True)\n",
    "\n",
    "df[\"pc3_z\"] = (df[\"pc3\"]-df[\"pc3\"].mean())/df[\"pc3\"].std()\n",
    "df[\"pc3\"] = df[\"pc3\"].rank(pct=True, na_option=\"bottom\", ascending=True)\n",
    "\n",
    "df[\"pc4_z\"] = (df[\"pc4\"]-df[\"pc4\"].mean())/df[\"pc4\"].std()\n",
    "df[\"pc4\"] = df[\"pc4\"].rank(pct=True, na_option=\"bottom\", ascending=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>STATEFP_x</th>\n",
       "      <th>COUNTYFP_x</th>\n",
       "      <th>TRACTCE_x</th>\n",
       "      <th>GEOID_x</th>\n",
       "      <th>NAME_x</th>\n",
       "      <th>geometry</th>\n",
       "      <th>GEOID10</th>\n",
       "      <th>pnhwhitect</th>\n",
       "      <th>pblackct</th>\n",
       "      <th>...</th>\n",
       "      <th>pblackct_rank</th>\n",
       "      <th>pchildct_rank</th>\n",
       "      <th>pc1</th>\n",
       "      <th>pc2</th>\n",
       "      <th>pc3</th>\n",
       "      <th>pc4</th>\n",
       "      <th>pc1_z</th>\n",
       "      <th>pc2_z</th>\n",
       "      <th>pc3_z</th>\n",
       "      <th>pc4_z</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>48</td>\n",
       "      <td>453</td>\n",
       "      <td>2110</td>\n",
       "      <td>48453002110</td>\n",
       "      <td>21.10</td>\n",
       "      <td>POLYGON ((-97.691622 30.271748, -97.6913989999...</td>\n",
       "      <td>48453002110</td>\n",
       "      <td>23.856906</td>\n",
       "      <td>29.424307</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.457143</td>\n",
       "      <td>0.907143</td>\n",
       "      <td>0.792857</td>\n",
       "      <td>0.707143</td>\n",
       "      <td>0.885714</td>\n",
       "      <td>1.438727</td>\n",
       "      <td>0.907988</td>\n",
       "      <td>0.625528</td>\n",
       "      <td>1.309515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>48</td>\n",
       "      <td>453</td>\n",
       "      <td>2111</td>\n",
       "      <td>48453002111</td>\n",
       "      <td>21.11</td>\n",
       "      <td>POLYGON ((-97.70498699999999 30.25097599999999...</td>\n",
       "      <td>48453002111</td>\n",
       "      <td>26.515420</td>\n",
       "      <td>8.277207</td>\n",
       "      <td>...</td>\n",
       "      <td>0.700000</td>\n",
       "      <td>0.814286</td>\n",
       "      <td>0.985714</td>\n",
       "      <td>0.700000</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>0.914286</td>\n",
       "      <td>1.680656</td>\n",
       "      <td>0.689276</td>\n",
       "      <td>-0.642098</td>\n",
       "      <td>1.399356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>48</td>\n",
       "      <td>453</td>\n",
       "      <td>2105</td>\n",
       "      <td>48453002105</td>\n",
       "      <td>21.05</td>\n",
       "      <td>POLYGON ((-97.71462799999999 30.315025, -97.71...</td>\n",
       "      <td>48453002105</td>\n",
       "      <td>28.624754</td>\n",
       "      <td>12.259332</td>\n",
       "      <td>...</td>\n",
       "      <td>0.814286</td>\n",
       "      <td>0.364286</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>0.775000</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>0.766700</td>\n",
       "      <td>-0.298244</td>\n",
       "      <td>0.824371</td>\n",
       "      <td>0.635706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>48</td>\n",
       "      <td>453</td>\n",
       "      <td>2106</td>\n",
       "      <td>48453002106</td>\n",
       "      <td>21.06</td>\n",
       "      <td>POLYGON ((-97.698876 30.303907, -97.698505 30....</td>\n",
       "      <td>48453002106</td>\n",
       "      <td>40.071267</td>\n",
       "      <td>10.236476</td>\n",
       "      <td>...</td>\n",
       "      <td>0.764286</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>0.678571</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>0.592857</td>\n",
       "      <td>0.591077</td>\n",
       "      <td>0.782063</td>\n",
       "      <td>-0.161560</td>\n",
       "      <td>0.175270</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>48</td>\n",
       "      <td>453</td>\n",
       "      <td>2107</td>\n",
       "      <td>48453002107</td>\n",
       "      <td>21.07</td>\n",
       "      <td>POLYGON ((-97.69851799999999 30.289116, -97.69...</td>\n",
       "      <td>48453002107</td>\n",
       "      <td>33.199679</td>\n",
       "      <td>22.052927</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.385714</td>\n",
       "      <td>0.928571</td>\n",
       "      <td>0.871429</td>\n",
       "      <td>0.550000</td>\n",
       "      <td>0.907143</td>\n",
       "      <td>1.594637</td>\n",
       "      <td>1.265882</td>\n",
       "      <td>0.186415</td>\n",
       "      <td>1.376895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>135</td>\n",
       "      <td>48</td>\n",
       "      <td>453</td>\n",
       "      <td>1757</td>\n",
       "      <td>48453001757</td>\n",
       "      <td>17.57</td>\n",
       "      <td>POLYGON ((-97.76999099999999 30.408648, -97.76...</td>\n",
       "      <td>48453001757</td>\n",
       "      <td>74.977778</td>\n",
       "      <td>2.355556</td>\n",
       "      <td>...</td>\n",
       "      <td>0.292857</td>\n",
       "      <td>0.464286</td>\n",
       "      <td>0.514286</td>\n",
       "      <td>0.939286</td>\n",
       "      <td>0.014286</td>\n",
       "      <td>0.121429</td>\n",
       "      <td>-0.014644</td>\n",
       "      <td>1.375238</td>\n",
       "      <td>-2.580819</td>\n",
       "      <td>-1.183577</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>136</td>\n",
       "      <td>48</td>\n",
       "      <td>453</td>\n",
       "      <td>1781</td>\n",
       "      <td>48453001781</td>\n",
       "      <td>17.81</td>\n",
       "      <td>POLYGON ((-97.806761 30.437469, -97.806744 30....</td>\n",
       "      <td>48453001781</td>\n",
       "      <td>70.909786</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.728571</td>\n",
       "      <td>0.978571</td>\n",
       "      <td>0.585714</td>\n",
       "      <td>0.342857</td>\n",
       "      <td>0.746987</td>\n",
       "      <td>1.487908</td>\n",
       "      <td>0.260982</td>\n",
       "      <td>-0.509768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>137</td>\n",
       "      <td>48</td>\n",
       "      <td>453</td>\n",
       "      <td>1777</td>\n",
       "      <td>48453001777</td>\n",
       "      <td>17.77</td>\n",
       "      <td>POLYGON ((-97.861156 30.208181999999997, -97.8...</td>\n",
       "      <td>48453001777</td>\n",
       "      <td>58.193061</td>\n",
       "      <td>5.324631</td>\n",
       "      <td>...</td>\n",
       "      <td>0.528571</td>\n",
       "      <td>0.678571</td>\n",
       "      <td>0.271429</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>0.092857</td>\n",
       "      <td>0.578571</td>\n",
       "      <td>-0.776274</td>\n",
       "      <td>-0.215399</td>\n",
       "      <td>-1.304908</td>\n",
       "      <td>0.130350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>138</td>\n",
       "      <td>48</td>\n",
       "      <td>453</td>\n",
       "      <td>2112</td>\n",
       "      <td>48453002112</td>\n",
       "      <td>21.12</td>\n",
       "      <td>POLYGON ((-97.691261 30.316219999999998, -97.6...</td>\n",
       "      <td>48453002112</td>\n",
       "      <td>31.699226</td>\n",
       "      <td>23.921858</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.992857</td>\n",
       "      <td>0.564286</td>\n",
       "      <td>0.617857</td>\n",
       "      <td>0.989286</td>\n",
       "      <td>1.686033</td>\n",
       "      <td>0.308186</td>\n",
       "      <td>0.302407</td>\n",
       "      <td>2.342688</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>139</td>\n",
       "      <td>48</td>\n",
       "      <td>453</td>\n",
       "      <td>2113</td>\n",
       "      <td>48453002113</td>\n",
       "      <td>21.13</td>\n",
       "      <td>POLYGON ((-97.681586 30.316067, -97.6815759999...</td>\n",
       "      <td>48453002113</td>\n",
       "      <td>48.582231</td>\n",
       "      <td>16.770186</td>\n",
       "      <td>...</td>\n",
       "      <td>0.892857</td>\n",
       "      <td>0.578571</td>\n",
       "      <td>0.828571</td>\n",
       "      <td>0.900000</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>0.864286</td>\n",
       "      <td>1.092857</td>\n",
       "      <td>1.342100</td>\n",
       "      <td>-0.277552</td>\n",
       "      <td>1.135447</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>140 rows × 71 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Unnamed: 0  STATEFP_x  COUNTYFP_x  TRACTCE_x      GEOID_x  NAME_x  \\\n",
       "0             0         48         453       2110  48453002110   21.10   \n",
       "1             1         48         453       2111  48453002111   21.11   \n",
       "2             2         48         453       2105  48453002105   21.05   \n",
       "3             3         48         453       2106  48453002106   21.06   \n",
       "4             4         48         453       2107  48453002107   21.07   \n",
       "..          ...        ...         ...        ...          ...     ...   \n",
       "135         135         48         453       1757  48453001757   17.57   \n",
       "136         136         48         453       1781  48453001781   17.81   \n",
       "137         137         48         453       1777  48453001777   17.77   \n",
       "138         138         48         453       2112  48453002112   21.12   \n",
       "139         139         48         453       2113  48453002113   21.13   \n",
       "\n",
       "                                              geometry      GEOID10  \\\n",
       "0    POLYGON ((-97.691622 30.271748, -97.6913989999...  48453002110   \n",
       "1    POLYGON ((-97.70498699999999 30.25097599999999...  48453002111   \n",
       "2    POLYGON ((-97.71462799999999 30.315025, -97.71...  48453002105   \n",
       "3    POLYGON ((-97.698876 30.303907, -97.698505 30....  48453002106   \n",
       "4    POLYGON ((-97.69851799999999 30.289116, -97.69...  48453002107   \n",
       "..                                                 ...          ...   \n",
       "135  POLYGON ((-97.76999099999999 30.408648, -97.76...  48453001757   \n",
       "136  POLYGON ((-97.806761 30.437469, -97.806744 30....  48453001781   \n",
       "137  POLYGON ((-97.861156 30.208181999999997, -97.8...  48453001777   \n",
       "138  POLYGON ((-97.691261 30.316219999999998, -97.6...  48453002112   \n",
       "139  POLYGON ((-97.681586 30.316067, -97.6815759999...  48453002113   \n",
       "\n",
       "     pnhwhitect   pblackct  ...  pblackct_rank  pchildct_rank       pc1  \\\n",
       "0     23.856906  29.424307  ...       1.000000       0.457143  0.907143   \n",
       "1     26.515420   8.277207  ...       0.700000       0.814286  0.985714   \n",
       "2     28.624754  12.259332  ...       0.814286       0.364286  0.750000   \n",
       "3     40.071267  10.236476  ...       0.764286       0.400000  0.678571   \n",
       "4     33.199679  22.052927  ...       1.000000       0.385714  0.928571   \n",
       "..          ...        ...  ...            ...            ...       ...   \n",
       "135   74.977778   2.355556  ...       0.292857       0.464286  0.514286   \n",
       "136   70.909786   0.000000  ...       0.000000       1.000000  0.728571   \n",
       "137   58.193061   5.324631  ...       0.528571       0.678571  0.271429   \n",
       "138   31.699226  23.921858  ...       1.000000       1.000000  0.992857   \n",
       "139   48.582231  16.770186  ...       0.892857       0.578571  0.828571   \n",
       "\n",
       "          pc2       pc3       pc4     pc1_z     pc2_z     pc3_z     pc4_z  \n",
       "0    0.792857  0.707143  0.885714  1.438727  0.907988  0.625528  1.309515  \n",
       "1    0.700000  0.250000  0.914286  1.680656  0.689276 -0.642098  1.399356  \n",
       "2    0.400000  0.775000  0.750000  0.766700 -0.298244  0.824371  0.635706  \n",
       "3    0.750000  0.428571  0.592857  0.591077  0.782063 -0.161560  0.175270  \n",
       "4    0.871429  0.550000  0.907143  1.594637  1.265882  0.186415  1.376895  \n",
       "..        ...       ...       ...       ...       ...       ...       ...  \n",
       "135  0.939286  0.014286  0.121429 -0.014644  1.375238 -2.580819 -1.183577  \n",
       "136  0.978571  0.585714  0.342857  0.746987  1.487908  0.260982 -0.509768  \n",
       "137  0.428571  0.092857  0.578571 -0.776274 -0.215399 -1.304908  0.130350  \n",
       "138  0.564286  0.617857  0.989286  1.686033  0.308186  0.302407  2.342688  \n",
       "139  0.900000  0.400000  0.864286  1.092857  1.342100 -0.277552  1.135447  \n",
       "\n",
       "[140 rows x 71 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"health_index\"] = df[\"pc1\"] + df[\"pc2\"]\n",
    "df[\"health_index_z\"]=(df[\"health_index\"]-df[\"health_index\"].mean())/df[\"health_index\"].std()\n",
    "df[\"health_index\"] = df[\"health_index\"].rank(pct=True, na_option=\"bottom\", ascending=True)\n",
    "\n",
    "\n",
    "\n",
    "df[\"soc_env_index\"] = df[\"pc3\"] + df[\"pc4\"]\n",
    "df[\"soc_env_index_z\"]=(df[\"soc_env_index\"]-df[\"soc_env_index\"].mean())/df[\"soc_env_index\"].std()\n",
    "df[\"soc_env_index\"] = df[\"soc_env_index\"].rank(pct=True, na_option=\"bottom\", ascending=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"vulnerability_index\"]= df[\"health_index\"] + df[\"soc_env_index\"]\n",
    "df[\"vulnerability_index_z\"]=(df[\"vulnerability_index\"]-df[\"vulnerability_index\"].mean())/df[\"vulnerability_index\"].std()\n",
    "df[\"vulnerability_index\"] = df[\"vulnerability_index\"].rank(pct=True, na_option=\"bottom\", ascending=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<AxesSubplot: title={'center': 'vulnerability_index_z'}>]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.hist(\"vulnerability_index_z\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>STATEFP_x</th>\n",
       "      <th>COUNTYFP_x</th>\n",
       "      <th>TRACTCE_x</th>\n",
       "      <th>GEOID_x</th>\n",
       "      <th>NAME_x</th>\n",
       "      <th>geometry</th>\n",
       "      <th>GEOID10</th>\n",
       "      <th>pnhwhitect</th>\n",
       "      <th>pblackct</th>\n",
       "      <th>...</th>\n",
       "      <th>pc1_z</th>\n",
       "      <th>pc2_z</th>\n",
       "      <th>pc3_z</th>\n",
       "      <th>pc4_z</th>\n",
       "      <th>health_index</th>\n",
       "      <th>health_index_z</th>\n",
       "      <th>soc_env_index</th>\n",
       "      <th>soc_env_index_z</th>\n",
       "      <th>vulnerability_index</th>\n",
       "      <th>vulnerability_index_z</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>48</td>\n",
       "      <td>453</td>\n",
       "      <td>2110</td>\n",
       "      <td>48453002110</td>\n",
       "      <td>21.10</td>\n",
       "      <td>POLYGON ((-97.691622 30.271748, -97.6913989999...</td>\n",
       "      <td>48453002110</td>\n",
       "      <td>23.856906</td>\n",
       "      <td>29.424307</td>\n",
       "      <td>...</td>\n",
       "      <td>1.438727</td>\n",
       "      <td>0.907988</td>\n",
       "      <td>0.625528</td>\n",
       "      <td>1.309515</td>\n",
       "      <td>0.928571</td>\n",
       "      <td>1.356005</td>\n",
       "      <td>0.950000</td>\n",
       "      <td>1.616099</td>\n",
       "      <td>0.992857</td>\n",
       "      <td>2.056598</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>48</td>\n",
       "      <td>453</td>\n",
       "      <td>2111</td>\n",
       "      <td>48453002111</td>\n",
       "      <td>21.11</td>\n",
       "      <td>POLYGON ((-97.70498699999999 30.25097599999999...</td>\n",
       "      <td>48453002111</td>\n",
       "      <td>26.515420</td>\n",
       "      <td>8.277207</td>\n",
       "      <td>...</td>\n",
       "      <td>1.680656</td>\n",
       "      <td>0.689276</td>\n",
       "      <td>-0.642098</td>\n",
       "      <td>1.399356</td>\n",
       "      <td>0.921429</td>\n",
       "      <td>1.328046</td>\n",
       "      <td>0.642857</td>\n",
       "      <td>0.433588</td>\n",
       "      <td>0.885714</td>\n",
       "      <td>1.314874</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>48</td>\n",
       "      <td>453</td>\n",
       "      <td>2105</td>\n",
       "      <td>48453002105</td>\n",
       "      <td>21.05</td>\n",
       "      <td>POLYGON ((-97.71462799999999 30.315025, -97.71...</td>\n",
       "      <td>48453002105</td>\n",
       "      <td>28.624754</td>\n",
       "      <td>12.259332</td>\n",
       "      <td>...</td>\n",
       "      <td>0.766700</td>\n",
       "      <td>-0.298244</td>\n",
       "      <td>0.824371</td>\n",
       "      <td>0.635706</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>0.279589</td>\n",
       "      <td>0.921429</td>\n",
       "      <td>1.428868</td>\n",
       "      <td>0.846429</td>\n",
       "      <td>1.146300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>48</td>\n",
       "      <td>453</td>\n",
       "      <td>2106</td>\n",
       "      <td>48453002106</td>\n",
       "      <td>21.06</td>\n",
       "      <td>POLYGON ((-97.698876 30.303907, -97.698505 30....</td>\n",
       "      <td>48453002106</td>\n",
       "      <td>40.071267</td>\n",
       "      <td>10.236476</td>\n",
       "      <td>...</td>\n",
       "      <td>0.591077</td>\n",
       "      <td>0.782063</td>\n",
       "      <td>-0.161560</td>\n",
       "      <td>0.175270</td>\n",
       "      <td>0.771429</td>\n",
       "      <td>0.824787</td>\n",
       "      <td>0.507143</td>\n",
       "      <td>0.039417</td>\n",
       "      <td>0.728571</td>\n",
       "      <td>0.640580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>48</td>\n",
       "      <td>453</td>\n",
       "      <td>2107</td>\n",
       "      <td>48453002107</td>\n",
       "      <td>21.07</td>\n",
       "      <td>POLYGON ((-97.69851799999999 30.289116, -97.69...</td>\n",
       "      <td>48453002107</td>\n",
       "      <td>33.199679</td>\n",
       "      <td>22.052927</td>\n",
       "      <td>...</td>\n",
       "      <td>1.594637</td>\n",
       "      <td>1.265882</td>\n",
       "      <td>0.186415</td>\n",
       "      <td>1.376895</td>\n",
       "      <td>0.957143</td>\n",
       "      <td>1.551717</td>\n",
       "      <td>0.896429</td>\n",
       "      <td>1.241637</td>\n",
       "      <td>0.978571</td>\n",
       "      <td>1.997597</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>135</td>\n",
       "      <td>48</td>\n",
       "      <td>453</td>\n",
       "      <td>1757</td>\n",
       "      <td>48453001757</td>\n",
       "      <td>17.57</td>\n",
       "      <td>POLYGON ((-97.76999099999999 30.408648, -97.76...</td>\n",
       "      <td>48453001757</td>\n",
       "      <td>74.977778</td>\n",
       "      <td>2.355556</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.014644</td>\n",
       "      <td>1.375238</td>\n",
       "      <td>-2.580819</td>\n",
       "      <td>-1.183577</td>\n",
       "      <td>0.792857</td>\n",
       "      <td>0.873715</td>\n",
       "      <td>0.007143</td>\n",
       "      <td>-2.404440</td>\n",
       "      <td>0.321429</td>\n",
       "      <td>-0.488863</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>136</td>\n",
       "      <td>48</td>\n",
       "      <td>453</td>\n",
       "      <td>1781</td>\n",
       "      <td>48453001781</td>\n",
       "      <td>17.81</td>\n",
       "      <td>POLYGON ((-97.806761 30.437469, -97.806744 30....</td>\n",
       "      <td>48453001781</td>\n",
       "      <td>70.909786</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.746987</td>\n",
       "      <td>1.487908</td>\n",
       "      <td>0.260982</td>\n",
       "      <td>-0.509768</td>\n",
       "      <td>0.935714</td>\n",
       "      <td>1.369984</td>\n",
       "      <td>0.378571</td>\n",
       "      <td>-0.216794</td>\n",
       "      <td>0.757143</td>\n",
       "      <td>0.724866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>137</td>\n",
       "      <td>48</td>\n",
       "      <td>453</td>\n",
       "      <td>1777</td>\n",
       "      <td>48453001777</td>\n",
       "      <td>17.77</td>\n",
       "      <td>POLYGON ((-97.861156 30.208181999999997, -97.8...</td>\n",
       "      <td>48453001777</td>\n",
       "      <td>58.193061</td>\n",
       "      <td>5.324631</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.776274</td>\n",
       "      <td>-0.215399</td>\n",
       "      <td>-1.304908</td>\n",
       "      <td>0.130350</td>\n",
       "      <td>0.314286</td>\n",
       "      <td>-0.601116</td>\n",
       "      <td>0.185714</td>\n",
       "      <td>-0.926301</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>-1.196872</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>138</td>\n",
       "      <td>48</td>\n",
       "      <td>453</td>\n",
       "      <td>2112</td>\n",
       "      <td>48453002112</td>\n",
       "      <td>21.12</td>\n",
       "      <td>POLYGON ((-97.691261 30.316219999999998, -97.6...</td>\n",
       "      <td>48453002112</td>\n",
       "      <td>31.699226</td>\n",
       "      <td>23.921858</td>\n",
       "      <td>...</td>\n",
       "      <td>1.686033</td>\n",
       "      <td>0.308186</td>\n",
       "      <td>0.302407</td>\n",
       "      <td>2.342688</td>\n",
       "      <td>0.871429</td>\n",
       "      <td>1.076416</td>\n",
       "      <td>0.957143</td>\n",
       "      <td>1.655516</td>\n",
       "      <td>0.971429</td>\n",
       "      <td>1.938596</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>139</td>\n",
       "      <td>48</td>\n",
       "      <td>453</td>\n",
       "      <td>2113</td>\n",
       "      <td>48453002113</td>\n",
       "      <td>21.13</td>\n",
       "      <td>POLYGON ((-97.681586 30.316067, -97.6815759999...</td>\n",
       "      <td>48453002113</td>\n",
       "      <td>48.582231</td>\n",
       "      <td>16.770186</td>\n",
       "      <td>...</td>\n",
       "      <td>1.092857</td>\n",
       "      <td>1.342100</td>\n",
       "      <td>-0.277552</td>\n",
       "      <td>1.135447</td>\n",
       "      <td>0.950000</td>\n",
       "      <td>1.411923</td>\n",
       "      <td>0.757143</td>\n",
       "      <td>0.709507</td>\n",
       "      <td>0.935714</td>\n",
       "      <td>1.652021</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>140 rows × 77 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Unnamed: 0  STATEFP_x  COUNTYFP_x  TRACTCE_x      GEOID_x  NAME_x  \\\n",
       "0             0         48         453       2110  48453002110   21.10   \n",
       "1             1         48         453       2111  48453002111   21.11   \n",
       "2             2         48         453       2105  48453002105   21.05   \n",
       "3             3         48         453       2106  48453002106   21.06   \n",
       "4             4         48         453       2107  48453002107   21.07   \n",
       "..          ...        ...         ...        ...          ...     ...   \n",
       "135         135         48         453       1757  48453001757   17.57   \n",
       "136         136         48         453       1781  48453001781   17.81   \n",
       "137         137         48         453       1777  48453001777   17.77   \n",
       "138         138         48         453       2112  48453002112   21.12   \n",
       "139         139         48         453       2113  48453002113   21.13   \n",
       "\n",
       "                                              geometry      GEOID10  \\\n",
       "0    POLYGON ((-97.691622 30.271748, -97.6913989999...  48453002110   \n",
       "1    POLYGON ((-97.70498699999999 30.25097599999999...  48453002111   \n",
       "2    POLYGON ((-97.71462799999999 30.315025, -97.71...  48453002105   \n",
       "3    POLYGON ((-97.698876 30.303907, -97.698505 30....  48453002106   \n",
       "4    POLYGON ((-97.69851799999999 30.289116, -97.69...  48453002107   \n",
       "..                                                 ...          ...   \n",
       "135  POLYGON ((-97.76999099999999 30.408648, -97.76...  48453001757   \n",
       "136  POLYGON ((-97.806761 30.437469, -97.806744 30....  48453001781   \n",
       "137  POLYGON ((-97.861156 30.208181999999997, -97.8...  48453001777   \n",
       "138  POLYGON ((-97.691261 30.316219999999998, -97.6...  48453002112   \n",
       "139  POLYGON ((-97.681586 30.316067, -97.6815759999...  48453002113   \n",
       "\n",
       "     pnhwhitect   pblackct  ...     pc1_z     pc2_z     pc3_z     pc4_z  \\\n",
       "0     23.856906  29.424307  ...  1.438727  0.907988  0.625528  1.309515   \n",
       "1     26.515420   8.277207  ...  1.680656  0.689276 -0.642098  1.399356   \n",
       "2     28.624754  12.259332  ...  0.766700 -0.298244  0.824371  0.635706   \n",
       "3     40.071267  10.236476  ...  0.591077  0.782063 -0.161560  0.175270   \n",
       "4     33.199679  22.052927  ...  1.594637  1.265882  0.186415  1.376895   \n",
       "..          ...        ...  ...       ...       ...       ...       ...   \n",
       "135   74.977778   2.355556  ... -0.014644  1.375238 -2.580819 -1.183577   \n",
       "136   70.909786   0.000000  ...  0.746987  1.487908  0.260982 -0.509768   \n",
       "137   58.193061   5.324631  ... -0.776274 -0.215399 -1.304908  0.130350   \n",
       "138   31.699226  23.921858  ...  1.686033  0.308186  0.302407  2.342688   \n",
       "139   48.582231  16.770186  ...  1.092857  1.342100 -0.277552  1.135447   \n",
       "\n",
       "     health_index  health_index_z  soc_env_index  soc_env_index_z  \\\n",
       "0        0.928571        1.356005       0.950000         1.616099   \n",
       "1        0.921429        1.328046       0.642857         0.433588   \n",
       "2        0.571429        0.279589       0.921429         1.428868   \n",
       "3        0.771429        0.824787       0.507143         0.039417   \n",
       "4        0.957143        1.551717       0.896429         1.241637   \n",
       "..            ...             ...            ...              ...   \n",
       "135      0.792857        0.873715       0.007143        -2.404440   \n",
       "136      0.935714        1.369984       0.378571        -0.216794   \n",
       "137      0.314286       -0.601116       0.185714        -0.926301   \n",
       "138      0.871429        1.076416       0.957143         1.655516   \n",
       "139      0.950000        1.411923       0.757143         0.709507   \n",
       "\n",
       "     vulnerability_index  vulnerability_index_z  \n",
       "0               0.992857               2.056598  \n",
       "1               0.885714               1.314874  \n",
       "2               0.846429               1.146300  \n",
       "3               0.728571               0.640580  \n",
       "4               0.978571               1.997597  \n",
       "..                   ...                    ...  \n",
       "135             0.321429              -0.488863  \n",
       "136             0.757143               0.724866  \n",
       "137             0.142857              -1.196872  \n",
       "138             0.971429               1.938596  \n",
       "139             0.935714               1.652021  \n",
       "\n",
       "[140 rows x 77 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"total_count_ln\"] = np.log(df['total_count'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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OTjFycMKIFW/5Z/VE44wh5xJPqa/ChqWzcexkHMnRMVSUlSJ0LJKzElHrZJ4Zn0GMI6UPqeelkHMuUT75g0RK9JnfXm9ZKV44+FHBSlm+z9KLYl/RShQPRvsPPpToy4jPlwt3UGHr7h5s7mwHgJwdJnrmGXosslFyxihB2Amu1iMJBsnUGPa+N5CN/Xou0pMbw9m8XCofLy0tAYDsTvKujlZ0BVuz+W/LRB/vTtD8Sfn8905v9OHM+iqaXDMRK2OOXLhtjCZS8Hk98JSWwFNaggeuPceUtgqdL6u2v6BHX17PY5MozyeMQomPMcofab2ulF6b66swDdU575GTn74XHi54Tk5lJVqkTmhBix6k7JrND4VIjo5l7VOqHWJxK86kUVoCbNHBX1gxtm4nHDXZ/corr+AHP/gB3njjDfT19WHHjh24+uqrBV//pz/9CZdccknB44cOHcLMmTMNbClBEATBh1CnmsXswQkzBpSNTDQ8n6yAFUKPTr4Zn0GMI6UPqeelrs1nh+wukjXbQgXvyb+3SvXJbe+R/hi27OwWbJ8RdkQTRkQxYaT/4EOpvvT+fLlwBxX4JqLO8lejua5St7bpMfhe7AMUhLPhaj0aZzC5thL/MLNJ10V6amK4lK4SqdML8did5FxeWruE97r5ms9/70trl5BmLcCqmKMEO7ZRa39Ba19ezbFJlOcTVqBEv0ZpXet11fTtpfLT2srCHdhsZSW+UuZytUpjToQUavWgJD/ko6KsNMc+xdohFbcaq726+QsnLPwzCkdNdg8PD+Occ87BqlWrsGLFCtnve+edd1BbW5v9e9KkSUY0jyAIgtABMzv+Zg0oG5VoCCVLPq8HG5bOxlgmg1DvIGqryuGvVvd5NJBgP6JxBuEYg6GRlKJ7m2+H1RVleP3oIO9ua6F7q1afVtgRTRgRhHE4RV/5voc7EfW5WU24Z/k8hGMM3gsPa4qVQp/HRYmvK+YBCsI9GLFIT4uPEdNV/s5vn9eDro5WtE+tBwCMZTKIxpmCz6U8mbAbavsJLFr7C1p0r0RPTslDCMLO8OlVzIdI5ad8GmYrK5UA2C1SWYliKaE1fqlFSX7IJRhoRP+pJBZMa5D1OWbHLTsuqjODkkwmk7G6EWooKSmRvbN7cHAQ9fX1qj5naGgIdXV1iEajORPmBEHYG9KufbEqgZHTJicOKB+PJHKSJZ/Xg60rL8CPd3bnnC2zuM2P+1bMxxSeEoxKP4O9HlviSk9Iu+IcjyRw8/b9OWdh8d1buToz896a+VlcnKxvp0C6LV7M0peW3IHP93xuVhM2LJ2NW58+KOlPlWKVr1MDaZdQi1n5vJkxnNXu60cHsbmzHY/t6Sk48oDPP1ihedJucSOkP7n9BKXYub/gtDyftFuc2HEMjA89fIhQ3r3xqjkYSY0JatXO+TPp1niMil96wNe2YKARN13ahukTfThDYfuicQYDwwzSYxmkxzKIM6Oo83lt6xecRlFMdk+fPh0jIyOYPXs2brvtNt7S5izJZBLJZDL799DQEKZOnUoOjSBsDmnXGdg5gXEy3E5+g8+L254+mDPRzbK4zY+HOttVJVBGDSSQduUTjTNYvS2Uox8W7r1VqjMzB4mcNiBF8EO6JcxEj9wh3/fUVJbhu//1N0l/qha7+jrSLqEHbs7no3EGkXgKtz19ALsESq7y+QejNU/aJViE9Hfv8nnY+Nxb+MOh/oL3OC2u2TWGqoG0SzglZsoda5B7LTUatov2SbfmoqftGUU0zqD/VBLRRAo+rwfV3jLU+8pVt8spfsGJlFrdACNpbm7GI488gu3bt+Opp57C2WefjcsuuwyvvPKK4Hs2bdqEurq67L+pU6ea2GKCINRC2rU/0ThTEMwB4JXDYazbvh/ReOH5Pm4nGmdwpD+GUO8gjpyIqf4N6nxezGiqwbktDRgdy/BOdAPjv3U4pv0zZjTV6JZsknblE44xvB0A4PS9VaMzo+4tH3p8ll66IdRDuiXMQm3ukO8nAOT4ntjIqKQ/1YKZflUJpF1CK07N5+XmDnU+7ye5dOFENyDsH4zWPGmXAMT1t37HAcxs5p+EcVpc0+uz7NBnIO0WN06KmXLGGuSiVsPc9/lrvAjHGEv0S7o1Fz1tzyjqfF40TahAg8+L5OgYRjXsHXaSX3AijjqzWylnn302zj777OzfF198MY4dO4YHHngAixcv5n3P+vXrsXbt2uzf7OodgiDsDWnX/shJYNgk2CllnrRg1Eq+oZGU6POnJJ43G9KufOTeW7k6cxrROIOPhkbwwWACJSUl2Nc7iK27e7BgWgOtgDUZ0i1hFkpyB5bjkQRuf+YgZjbXon1qPfqiI+j3laNlog9nNvgAOC9W6gVpl9CKlCb7hkYAwFa5htKc247+gbRLAOL623U4jJULpwu+161xTYgPB+M4OhBHJJFCZbkHL/29H+/0DeHOZXNN7TOQdosbNXmsVQjFPp/Xg66OViRH0wj1DpoyPmf1rlfSrbnYMe/KR0+b1NsvFMP4uRJcPdnNx2c+8xn88pe/FHy+oqICFRUVJraIIAg9IO3aH7kJjNWJrRlIreTTUqantrJc9PkJEs+bDWlXPnLurRM6Cmo4Hkng5t/sz6laEAw0YnNnO9ZsC2nWDaEM0i1hFkp9WjTO4PZnDuLLF7bgsT092LKzO/tcR6AR910zH5+a6HNcrNQL0i6hFSlNvndiGPf+9pBt8nY1Obcd/QNplwCk9ZccHRN8zq1xjY8PTsZx81P7sYdToSEYaMSqYCvueOYgHrj2HNP6DKTd4sZJfXO+2OfzerC5s70gpzZyfM7IsTK5kG7NxY55Fxe9bVJPv1AM4+dKKbrJ7lAohObmZqubQRAE4TqkVpPJSWDskNjqgdRvYeQKX3+NF4vb/HhF4Lwbf439fz+CHz3urVBHwS6rQfnaAWDcL+SV52cHsLo6WrFlZ7etVsYThJsx018oHfwIxxjMbK7FY3t6cga5AWB39wDW7ziALZ3tjoiVdvHLRPEgx+akNFlRVmpq3m5Ezu0E/0C4FzGbltJffRX/88Vkt9E4g/V5E93A6X5De0sDBobHS8RSjCWUoCYvs/skHhe+2NfV0cqbUxsZ5weGGZwztR4rF05HcnQMleWebEU3u+2GJ/SBz/bYigILz2pENMHgyImYbD+tdx9K7/FbvfyCW8bP9cZRk92xWAzd3adXEvX09ODNN9/ExIkT0dLSgvXr1+PDDz/EL37xCwDAgw8+iOnTp2POnDlgGAa//OUvsX37dmzfvt2qr0AQBOFK5KwmkzNwZOcyT3ITJjm/hZErfOt8Xty3Yj7Wbd+f81svbvPj/hXzizLZcQty763SAVq7rAYVasetV84S9At7ugfQFWwFYK+V8QThVvT0F3LiqtJJp6GRFNqn1ufsPuGy65NcYkZTja1jpV38MlE8yLU5MU0GA40IHYsA0C9vF/MTRuXclEsTViFk03ctm4togkG9TzwmTmv0FTxfbHYbjjHYlTcxx7KnewA3dJyFDIDV20IUYwnZqM3L9Fg8ZdbiR77YJ5ZTGzU+lwEQ6h3M+VxuRTfq87uPfNvTUlHAiD6UWC7p83owlsngSH9Mtkb1WlRp5/FzK3HUZPfrr7+OSy65JPs3e37C9ddfj8cffxx9fX3o7e3NPs8wDL773e/iww8/RFVVFebMmYPf/va3uOKKK0xvO0EQhFuRu5pMzsDRe+Fh0c+yKrGVmzDJ/S2MXuE7pb4KD3W2IxxjcGokhQmV5fDX0Gp1NyB1b+t8Xtxz9VzcsuMAdnMGejoCjbjn6rkFNmCX1aBi7bh+MCH6XrZko51WxhOEG9HTX8iNq0onnWory9EXHRH9bDaXsGustItfJooHJTYnpEm2RPCabaHsY1rzdjE/Ue31GJpz29U/EO5FTIe3Pn0A7S0N2Lq7B1tXXoAMUKCL+1fMRzPZreQClzJPCTY+c7BgQpxiLCGElrxM6+Ipsxc/5se+1FhG9PV6j89F4ww2PnNQsDJDV0cr9fldCtf2xjIZ3PXcW4orChjVhxLKJdlJ+bueeysnpkhpVK9FlU46JsFMHDXZ/dnPfhaZjLCjffzxx3P+/t73vofvfe97BreKIAiiuFGymkxq4EhqQKrS60E0bu7qNCUJk9zfwozyiOwCA8J9iN3baJzBXc+/jXNbGrAq2Irk6BgqykoROhbB3c+/XXBGnV1Wg4q1Q4qKstIc3VDpX4IQRos+9PIXSgcilEw6+Wu8+HhI/uSWHWOlXfwyUTwotTlWk33REbwXHs7mGWu2hRBn0tnXaRmQlvITG5bONjzntqN/INyLmA7ZSkZxJo2ux/+KDUtn4/alszGcHOVd+GoXu7UiJ5caT2j0eQV3flOMJfjQmpepXTxl5OJHMW1yfciR/pjodfSeeJaqzPDtzwaK5kiGYoS1vSP9MVV+2qg+lFAuqaXMvx6LKp10TIKZOGqymyAIgrAfSleTiXXApUojPr+/D/uPRUwtMcYmTOyZMe1T63PODhoYPp0wyf0tqDwiYRThGIM/HOrHHw71Cz7PtS+7rAYVa0foWASL2vy8HZdgoBH9p5JZ3XBXv3PPefKWlaKh2ksT30RRo3V3iJS/GBhmABnnqakZiJA7eF/n82Jaow8dgcac6hYsTji31C5+mSge1Jb6BoB/e+EQr54XadSa1JmdkQTl3IS7kNIhW8kozqSx/qkDeGntEpzb0mBG01Rh5o5U7sTdxGrh8YSOQCPKPCWi16IYS+SjR16mZhGKURN3SrSp1yYNuQtfpH7rivJSittFgFrNGdWHEsolF57VqKnMv9bFaWL67Ag0orK8VPW1nQxNdhMEQRCa0HM1mZzSiHEmbWqJsaGRlOCZMcFAI5a3n5n9W8lvQeURCSNQmuDbZTWoWDu27u7BC2sW4fZnDub4hUVtfty9bC4afOWo83lzVr9rOeeJINyIHrtDpPzFqZEU/ulnr0rqzOjJ3DMbfLjvmvlYv+MAb5lXu8dZu/hlonjQYnPfviSAsUwmZ1dLMNCIb18S0NQmqTM7q70e2W2mnJtwAlI6rCjLHbS286Ssmcdx5E/c+bwe3lLvi9r82LR8Hpj0mOj1KMYS+ViVlxmRLyvVph4LxpRMrkv91vVVFLeLAbWaM1KrfLlkNMGIvsfoOF3n8+Le5fOw7qn9OYu8g4FGrAy2YuOzbxVUdiwGaLKbIAiC0ITeJbn5SiMePB7FwQ+jeKizPbu7IxJPmRK0ayvLBcvT7OkewMZn38KWTzoFSn8LO5WZI9yB0gTfjJL6chBrx4JpDWjwlUsOVHNXv2spKUUQbkSP3SFS1VdCxyLZ693xzEHcs3weYiOjBbs4zBg0/NREH7Y4dHLLLn6ZKB7U2tzAMIM/vzeA7/zDp3HTJRlUV3iQAfDHd/rR9fhf8dzqDlWak3NmZ7W3jHJuwlXIjbEsfLHSLkf5mHUcB9/EnVSp92icoRhLKMLovExIt0bky2q0qWXBmNLJdcqBCQCoqSzLVunKr7BZ7ytHlcCCR6PtJz+XNLvMPx9Meoz3CEN2o1gxHs1Bk90EQRCEJowoD1jn8+K98DBu/NW+nB2aD/7hcPY1iz65vtE7NP01XtHyNLs4nQI3lkq0y6AJIQ81Cy7uWzG/oBMaDDTixksCiDNp1Pn0baOQTcnRjpjtcVe/t0+t11RSiiDchl4lGKWqrwDju6q+dGELvvufb+act8bu4jBrIMupk1tuzCUIe6PW5jIA/vr+yZz8nPUHgPodLXLO7Kz3lZumE8qFCTOQG2MB/lhpVdlwPk2YdRyH0MSdWKl3irGEUoy0GTHdGpEvq9Wm2pxa6eQ66ZMAgOHkKFYGW+EtK8VXLppWUK1PaCzYbPvRolG9cstoIiU47gXYuwqMUdBkN0EQBKEZI8oDsitZhXZo7jJph2adzwtvmfhZJ9wEwk2lEs0cNCH0QU2CX+314Ip5zdlzMdnVoF2P/xULpjUYWmqQbRtrU1q0w139zp5rKEQxJv1EcaPX7hCuTgeGx7XKXT0OyKusQANZ4rgplyCcgVKbk7P7Wu2OFrlndtb5YLhOKBcmzCRfh1VeD/b15sZYvlhpZdlwtk1cTZhV9lntxB3FWEIpRtiMHN3qnS+bXZJdSqMRnjLQpE8imkhhzbYQHupsx+MKx4LNtB+1k+t65pZ0/FUhNNlNEARB6ILeO6jYVXJCOzR9Xg/mT63Pljs3cqdFg8Q18xMIp+4m42LmoImRFONuHKUJfjjGYP1TB3ifM7rUIPsZXJtS+1nclbX55xrmU4xJP+Es9PZdeu4OYXU69vEp/NPPXi14Xk5lhRlNNTSQJYEbcgnCWSixOXb3dX55ycpyD/b1DqJjRqPqKg1Kzuw0UiduyYWtphhzcS3k2/QZtZW4cPpE0VhpZdlw9jO4mjCrgouWQX6Ksc7HbN+it83I0a3e+bLZZcKlNJpMjSEaL/RPpE9zsGt8rq0szy7wEqr0IxbbzLQfNYtF9cwtqfR/ITTZTRAEQdgSdpXcob6hgue4pc25A+pG7bQoxgTCrEETIynm3ThKEnyrSw0C+tgUd2Vt6FgEwUBjwSpgwL2aJdyDEb7LiLJuXk8pr87kVlaggSyCcC5DIynBfDwYaMTyc890zGC8EG7Iha2mmHNxvZATK+2Wy5tVStYuvoIwHzf4Frm61TNftqLM86I2P6/fCAYasfe9AUyuraRYagF21hDr251SrU/xYlEdc0sq/V8ITXYTBEEQtmVKfRWGk6MFj8spkapnUC/GBMKsQROjoN048rF7qUElsCtrB4YZLG8/ExuffaugA+dWzRLuwEjfpXdZt0iCyZ7Ny43HdVVUTo0g3E5tZblgPr6newAbn3sLW1T6K7vk3U7Pha2GcnHzsGMub0YpWbv4CsJc3OJbrCo/bHaZ541XzcHteceeBAONWBVsxZptIfzDzCbdP5cQx+4aYn37++Fh0dc5sU9pRG5Jpf9zoclugiAIwtY0TagoWLEtp0Sq3oG92BIIp5/9Qrtx5OOEUoNK4K6s3VJEmiXcgRkVEPTSQE1FOTp//hd0dbSiK9iK5OgYKspKMZJKU2UFgnA5/hovFp7VKJiP79Lor+yQdzs9F7YaysXNw665vBkVXOzgKwhzcYtvsbIygZnVlUoAtLc05PQVQsciWLMthDiTplhqAU7Q0JT6KnhKSwQrAzi1T2lUbkkV005Dk90EQRCEreFbsW1VOZtiSiCcXhaOduPIx82lBotJs4Q7cJLv8td4sWBaQ8Fkl8/rwdaVF8BTUkI7rQjCpdT5vPCWlYq+Rqu/sjqGOz0XthonxTOn4+ZcXg5W+wrCXNziW4qlMkFjtRf7j0V4F8dRLLUGp2hocm0l7neZRuwaR90ETXYTBEEQtid/xXZluUf09bQ6VDtO73zRbhxlUKlBgrAHTvJdQppeMK0B0yf6aKcVQbicBgk928lfqYHyFm04KZ65AcrliWLBTb6lGCoTkN+wH07SkNs0QnowHprsJgiCIBwBd8V2NM7QajgTcHJiSSsmlUOlBgnCepzmu6Q0TdomCPfiNH+lBspb1FMM9mE3KJcnigG3+ZZiqExAfsNeOE1DbtMI6cFYSjKZTMbqRtiZoaEh1NXVIRqNora21urmEAQhE9Ku+zkeSQiuhmuur7KwZYQW9NQu2QhBmAPFXH0h30WYBWmX0Ar5K2twinbJPggiF6do1+6QbyHMxI26JQ0RboUmuyVwo0MjiGKAtKuOaJxBOMZgaCSF2qpy+KvtvbqMbS+thsvFafeRi97aJRvRD7vZld3aU8xQzNUf8l3i8OkfAPkEhZB23YnZ8dFp/soN+YOTtOs0+yDEcap+7NJuJ2nX7pBvUY7ROrCLzvTGrbp1i4acbndOb7/doDLmBEEQBIDxlX03b9+PXXkr++5bMR9TbLqyz23lbPTAiffRSMhG9MFudmW39hCE3pDvEoZP/4va/Pj2JQF0Pf5XxJk0APIJRHFiRXx0kr+i/MF8nGQfhDhO1Y9T202IQ75FGUbrgHTmPNygIafbndPbb0dKrW4AQRAEYT3ROIObf5MbYAHglcNhrNu+H9E4Y1HLCCVE40xBogTQfSTUEY0zONIfw7sfn8LNv/mbbeyK7JwgnAPrR0K9gzhyIqZZn0L633U4jId2HkZXR2v2MfIJRLHx8dCIreK13aD8gSh2tMRkp+rHqe0mnI/eObDWthipA9IZYQVOtzut7beTj7ETtLObIAiCwEdDI9jVHeZ97pXDYYRjjONX/BUD4RhTkCix0H0klMBdYfro9Quwq3uA93VW2BXZOUE4AyNWqovpf0/3ALqCrTmPkU8gioXjkQTeDw/bKl7bDcofiGJGa0x2qn6c2m7C2dhtt6bROiCdEVbgdLvT0n67+Rg7QTu7CYIgipxonMEHgwnR15waSZnUGkILQxL3ie4jIYf8FabJ0THR15ttV2TnBGF/jFppL6V/Pn9FPoFwO6zeIgmKj2JQ/kAUK3rEZKfqx6ntJpyLHXebGq0D0hlhBU63O7Xtt6OPsROOmux+5ZVX8MUvfhFTpkxBSUkJnn76acn3vPzyyzj//PNRWVmJs846Cz/96U+NbyhBEISDCMekA+GEynITWkJopVbiPtF9JOSQv8K0okw8XTTbrsjOCcL+yFmprgYp/fP5K/IJhNth9Wa3eG03KH8gihU9YrJT9ePUdhPOxagcWAtG64B0RliB0+1Obfvt6GPshKMmu4eHh3HOOedgy5Ytsl7f09ODK664AosWLUIoFMItt9yCNWvWYPv27Qa3lCAIwjkMjaQQOhZBMNDI+/yiNj/8NfYt/UKcxl/jxeI2P+9zi+k+EjLJX2Eq5h+ssCuyc4KwP0attBfTfzDQiNCxSM5j5BOIYoDVm93itd2g/IEoVvSIyU7Vj1PbTTgXO+42NVoHpDPCCpxud2rbb0cfYyccNdl9+eWX45577sE111wj6/U//elP0dLSggcffBCzZs3C17/+dXR1deGBBx4wuKUEQRDOobayHFt392BVsLVggCwYaMTdy+YWnBMSjTM40h9DqHcQR07Eir5Mil2o83lx34r5BQnT4jY/7l8x39bn1RD2IBpnUFXuwcPXnYetKy/A6ksD+H+v9fL6B6vsiuycIOyPUSvthfS/qM2Pmy5tw9bdPQAAn9eDTdfMw61XzsJ74WHKVQhXw+qNzecvnTkJqy8N4NHrF+Dh687Dtm9chE3XzCv6+Ej5A1GsaInJbL///YFh3LVsruP0Q7onzEYPvek9zma0DkhnhBU43e7Utt/pO9qNpszqBhjJq6++is9//vM5j/3jP/4jHn30UaRSKZSXF978ZDKJZDKZ/XtoaMjwdhIEoR3Srnr8NV4smNaANdtC6OpoRVewFcnRMVSUlaL/VBINvlxfeTySKDgfZHGbH/etmI8p9VVmN98wonEG4RiDoZEUaqvK4a/22jJZ4mvnQ53tCMcYnBpJYUJlOfw19mw7QNq1E3zaDgYacd+K+Vi3fT++fGELvv3ZACrKS1HtLUNpaQkSqTSiccZU+4rGGSSYNP71H9pwy5Wz4Ckpgae0BI021agbcbtuneL/jUCv786uVH+Fp8Sa1pX2U+qreOMcADy3ugPDyRRqq7zY8PRBrH/qQM7nui1XUYrbtVuscPW2bvt+/Mf1F+Dff/d3bNnZnX2NXezfLP8q9DlC/sPuPp60W0gxx2qlqI3J+X0Dn9eDDUtn49YrZyHBpEX1Y6f7Y6XuSbvuRcjG9dIb+3q9YrdSHSjVsFPjKx+kW+dQAuDyec24fuH0nHFso9Aa2/QYvzWyn+0GSjKZTMbqRqihpKQEO3bswNVXXy34mk9/+tNYuXIlbrnlluxje/fuRTAYxPHjx9Hc3Fzwno0bN+LOO+8seDwajaK2tlaXthMEoT+kXW0cjySwbvv+nGDJriZr5iTW0TiD1dtCvOeDLG7z46HOdkcms/k4ZULfKe0Ug7RrD8S0HQw0or2lAfuPRXDP1XNx1/Nv4w+H+rPPm2lzbrB5N+Bm3Razjen93eXmFnpTLLmKGtys3WKH1dv8qfUI9Q5iT/dAwWustn+z/Ksb/ThpNxc33mOjURqTtcRSuj+nIe26EykbN1NvRlDsGibdOgOzdaNVF3rqyqp+thNw/WT3qlWrsH79+uxje/bsQUdHB/r6+nDGGWcUvIdv9c7UqVPJoRGEzSHtaoddYSa2muxIfwyX/fBlwWu8tHYJZjTVGN1UQ7FbR0MIp7RTCtKuPZDS9v/8n0VoqPbi1h0Hcia6WcywObfYvBtwq26L2caM+u5ycgu9KYZcRS1u1S4xTjTOoC86gi/8312Cr7HK/s3yr27146Td07j1HpuBkpisNpbS/cmFtOs+5Nq4GXozAtIw6dYpmKkbrbowQldW9LOdgKvLmJ9xxhn46KOPch7r7+9HWVkZGhsbed9TUVGBiooKM5pHEISOkHa1U+eTDoxDIynR509JPO8EwjGGNwEBgFcOhxGOKS/ZbEQZN7adPq8HXR2taJ9aj+ToGCrLPdjXO4iBYXNLS6uFtCuOWSUApbQ9kkojNjLKO9ENqNeGEiLxFFYunI7OC1uydr51dw/iTNqUzydO41bdGuH/7QifXxkYNua7y8kt9EbKn0UTKRzpj9mitKrZuFW7xDh1Pi/eCw+LvsaqXF2rf5WbD4VjDN44OojVlwYKcuOtu3sc68dJu6cpllgthZo+gpKYnB9L8/uczCj/UUZ0f3Ih7boPuTauRW/5qI3davwE9/vxjTVF4inXa5h0a0/y7fnUCCOY78WZtK45r9bYZkRstKKf7QRcPdl98cUX47nnnst57Pe//z0WLFjAe143QRAEIU5tpbjvnCDxvBPQu6NhVAmooZEUfF4PNne247E9PTnnMgYDjVjefqbqaxP2wMzyYXK0beVil+ORBG57+gB2ccqyBgON2NzZjjXbQrp3ZojipBgWdAn5lTuumgOf14M4k+Z9n5O+u5Q/G0mlcc1P9mb/LqayjIT7sWuursW/KsmHYsmUYG68ubMdw0nn+DKCn2KI1VKY0Ufg+hKhPiffZ9L9IdyOETZuROxW6yfY7yek+0WflEqmvJkwk3x79nk9ePbbQYR6B3nzvTXbQrrmvFp1T7HRPEqtboASYrEY3nzzTbz55psAgJ6eHrz55pvo7e0FAKxfvx7//M//nH39t771LRw9ehRr167FoUOHsHXrVjz66KP47ne/a0XzCYIgHI+/xovFbX7e5xa3+eGvcf6qMj07GtE4U9DBAMZX7q3bvh/ROKOqjcB4O7s6WvHYnp6Ccxn3dA9g47Nvabo+YS1G2g4fcrRt1QB69rfgsfPH9vSgq6PV0M8nige7ThLphZhf2fjsW1kt8eGk7y7mzzoCjdj7Xq4vMcqvEoQV2DVXV+tfleZD9VVewdz4sT09qKtyfl+l2HF7rJbCrD4C15cI9Tn5PrPY7w/hfoywcb1jtxY/wX4/Id3voryZMBk+e+7qaMXG594SzPc2LJ2ta86rVfcUG83DUZPdr7/+Otrb29He3g4AWLt2Ldrb23H77bcDAPr6+rIT3wDQ2tqKF154AX/6059w7rnn4u6778bmzZuxYsUKS9pPEAThdOp8Xty3Yn5BIr74k9WdbiihomdHQ06pGrX4a7xYeFZjQXLHskvj9QlrMdJ2+JCjbasG0MV+iz3dA2ifWu+axTaEtdh1kkgvxLS063AYC8/iP+bJad9dyJ8tavNjZbAVW3f3FLzHCL9KEFZg11xdrX9Vmg8x6THB3HhP9wCY9JiCVhN2xO2xWgqz+ghcX9I+tV5QV/mfWez3h3A/Rti43rFbi59gv58S3ROEkfDZc/vUeuwWyffOa6nXNefVqnuKjebhqDLmn/3sZ5HJZASff/zxxwseW7JkCfbt22dgqwiCIIqLKfVVeKizHeEYg1MjKUyoLIe/xj1nhbAdjXXb9+OVvJJPSjsaRpaqqfN54S0TX7NGpXCcixVljqS0rac2lCD1WwBwzWIbwlqssnGzkNJSRXkpFrf5XfHd+fxZOpPB1T/e44pS7QQhhh1zdbX+VWk+FEuOir5+WOJ5wv64PVZLYWYfgfUl7/bHZH9msd8fwv0YZeN6xm4tfoL9fof6hlRfgyD0hM+ek6PiixcTAv09tWjVPcVG83DUZDdBEARhD+p87pnc5kOvjobRpWoaJNpDpXCci1VljqS0bcUAutRv0TLRh2Y6M4zQCTtOEumFlJbqq7yu+u75/uxIf0xwohugmEm4Czvm6mr8q9J8iMpEFgdujtVSmG3jdT4vJirscxbz/SGKA6NsXK/YrdVPTKmvklwcRvGUMAs+e66Q2PhjhH1q1T3FRnOgyW6CIAiiKIjGGYRjDIZGUqitKoe/Wjyp4D43NJICSgofl4ItVfMKTwkpPUrVGH19wjrscm+FdKM1IVeiR6nfomlChaa2EEQ+dpwk0ko0zqCstASL2vy8ZQ1Zv2K37640dothF79KEG5BiT7zX9vqr5alZaW6JZ0XD3aLV2ahxMa1xlD2/dEEg23fuAh7jgxg6+6enIVjQroq1vtDFA9W2Xg0zmBgmMHoWAZjmQziydHxI8c4+tYjFjZNqKB4StgCPnsOHYsgGOA/1lGLfUrFTa26d0Js1LP/bQUlGbG64ASGhoZQV1eHaDSK2tpaq5tDEIRMSLvuRmnwPR5J4Obt+3MG+Be3+XHfivmYIrAjVM178ttWV1UOr6cUt+w4wFuqRo/dqMcjCcFSOE7c7UraPY0e91ZLoqpWA1J8OBjH0YE4IokUKss92Nc7iHf6hnDnsrmienSTnbsN0q2xaO1wslp+4+ggNne247E9PTkDA3bSEvtdY8kU6qq82PD0Qezq1s8HkS/JhbRLSCHkf5TkCFKvlfJxSnVbDDon7boLNX1bKRvXmsfzvb8j0IiVwVas2RZCnEm7TldmQNp1JnaZ/OmLJLC7O4xzPlWPu59/C7vy8nmuvvWIhcUQT+VAutUHrWNTXFv0eT3YuvIC/PiP3QVxLt8+5X6uUeNfTsINvwFNdktADo0gnAlp11koSXqUBt9onMHqbSHBnWwPdbYXfJbc9+S3u7KsFHc8+xb+cKg/+/rPzWrCxqvmYCQ1ZlipGrYdbiiFQ9rNRcu95U5wdXW0on1qPQBgaoMPk2srRK+jRjdy+OBkHDc/tT9noi0YaMSqYCuefK0XD1x7juSuMLHfwi4DEcUG6VYcKxed5GvZ5/Xk+IOWiT40TRD3B2rRsjBt9aUBhHoHBVfrq/VB3Ha5IWZqhbRb3MiZZObzP5uumYd1Tx2QlSOI+aCSEuDMeh/29Q7i7uffzu4W5fNxSnXrdp0Xg3aLJadTE+f7Ign86d0TaJpQgeToGCrKStF/KonPfnoSmj9ZQKIljxd7/6I2P25fOhulJSWW6sqp9lEM2rU7ZmycMIJonMGhj07hvRMx/PZAn6wcWSgWqqnM4tZ4KgfSrXb00BGfLQIQtU+5n2vU+JdSuNqsqSiD11OKSIJBTaXxcc4uv4FWqIw5QRAEoTtGTV5H40zBawHglcNhrNu+nzf4hmMMb7Bm3xeOMYrfMzDMYJhJC65233tkIDtg9+KhfiRHx/BQZztmNNXwXlMrSkrhOHVgoFhRW+aI1Qp3J+eWnd3Z56U6Fmp0I6dN6z+Z6OYOdidHx+DzevDlC1swMCx8Xanfgs+XcBebkM0TViAnxgn5ZTUxL598LceZdI4veGntEkP0oDS2R+Ip3Pb0gewOlfap9Tnt5KLWB7E4oXwcQWhBTq4nZ7e1kP85OhCXnSNwfZDP6+HNSYKBRmzubM/uFuXzcUp1m//6aJzBkf4Y5QIOwS6TS0bz8dAI3g8Po/PCFqwKtmJf7yC27u4RjfPROIPv8WgTOD0YrTWPF3v/rsNhlJaUGNavlYMR9kF95OJAzcYJrbm4XgwlUkiPZXCWvwY3dJyF9paGgmMF8vXNFzv5FsS/Hx4WXBBPebM9cLKP0ktHQrYotlBD7ufqPf6l5n7x+Sd2Y0jnz/+CBdMaDM2DjBgDtAKa7CYIgiB0Ixpn8NHQCD4YTKCkpCTbYRcKykqTHjXBd2gkJdrmUzzPS70nPZbhbffu7gFkAHR1tOYM4mlJDPRMaotl4KhY4dpKldeDc6bW4/xpDQUliwHpjoUa3chp065PJrr5BrsXBfzYuGyOrOvyfU6+bfu8HnzpwhZ8b/v+gpLNZPOEGciJcXwLp1gbHUmlNXc49dIyF7HJefZsz+ToGM6ZWo83jg5mB+H4/A4bl1YunJ5TijE5OqZ7uwnCzbD6G4wzSKXHcs7W5VtgI+WbxHLuSEK+X+H6oK6OVt6chP2bmz+/fnQQkXhKlxyY8l9nYafJJb0pPKrjQE7s4y78ULsom9WMGFyN8sV0I3IHvTDCPshHFAdmbZzg+1ypM7alOB5J4JYdwv6CO+Etpk+tC+IJa3CKjxLqI1o1iarkc/WMe2rul5B/ys+RjcyDYskUVl8ayG5IYY8cZPsTTul/02Q3QRAEoQvHIwnc/Jv9OWdrchNwPSav1SQgtZXlou+ZwPO81HvSYxnBdu/pHkBXsFVW26TQM6l188ARIbwKdN3lM/HgHw7zvkesY6FGN1Jtevi68wAID3bv6g5j47NvYYsKW+TzJUKfQzZPmIVUjIvEU7jtmYOCfvm2pbNFry8nruihZS5CFRQ2LJ2NW58+WOCD8gfhuH6HG5c6L2zJ+ZyKslJd200QbkYoB+BOmnHjntbJMiX65PogsYoN3PyZXRR3W95EoJocmPJf5+GWnUX5yDmqI39QW82i7FMjKdmxX6iveeuVs2S93wqM2H1HPqI4MGvjBJfjkQRuf+YgvnxhS0G/VG5My9qojIVigLg+2d9g9aUB6ic7BKf4KLGxS6sWUCn5XL36zGrvl5h/4ubIRuZBdVVehHoHBasvOaX/Ld5LIQiCIAgJonEGhz8+hUN9Q1jV0YrVlwbg83oAjAflx/b0oKujNRuUuShNetQkIP4aLxa3+Xlfv7jNnz3nRcl74syoaDv4dqQpTQykkqRonBF4Jz9yOneEMxFbBdo/lBR9r1DHQo1upNrEDo63T63nPWMMGC+NqMYW+XyJ2OeosXm2BGqodxBHTsQUa5AoPqRi3DAzKuqXx8Yyou+XE1dqKsvw669fhIevOw9bV16QE6PlaJmLkK85u7kW63cUnt/LzQG4sH6HG5fyJ89CxyIIBhp526G03QThVnJy8KBwDg7kxj2tk2WhYxEskpkjcPMJqYoN7PPsYrX8gX01OTDlv87DzruK1ZIfP8Vy1D3dA2ifWg9A3aJs9sxSqTxerK+5rzeiqR+gFbGcW2/7IB9RPJi1cYKF1djM5lrRiWWpmCY1Ccb6C0Ban+xvoHc/mTAOJ/goqbHLmgrxvbZGTaIq0a/W8S8WtfdLyj9VV5Rl+/NjGfExAjVE4ww2PH2QdxHeY3t6sGHpbMf0v2mymyAIglDN8UgCq7eF8LkfvYIbnngdXY//FaHe8ZJI3ME2NgHXOnmtJgGp83lx34r5Be9b3ObH/SvmC575IvqeKvEgnz9or2ZQQO+k1o0DR8Q4YrYihVDHQo1upNrETl4ZUZ6Yz5fo+Tmsr7vshy9j+cN7cdm/v4ybtoVwPJJQ3FaieJCKccOckoN8sOWH+ZATV45HEvjuf/0NX/mPv+DGX+3LidGfm9UkS8tchHyN3EF7FtbvcONS/uT21t09WBVsLZjwluuDCMLtKM3BgdNxT+tk2Tt9Q9i0fJ6sHIGbT0jtCJezKE5pDkz5r/PQuyKJHciPn3IWfqhdlO2v8crK48X6D3c//zbuWjZXdT9AC1I5t972QT6ieDBr4wQLqzGtMU3KRll/Ikef7G9AxwU5Byf4KKmxS6+n1JIFVEr0q3X8i0Xt/ZIcN0iOZvvzdz3/tu7jUOEYk1Ollcue7gGc11LvmP43lTEnCIIgVCH3TBHgdDItNHn9Ck9ixJf0sAnIuu37c94jlYBMqa/Knj94aiSVHcQTC9Zi74nGGcF2dwQaEToWkd02IfROat04cESMI2YroWMRLAo0FuyOAqQ7Fmp0I9amrbt7sLmzHVXlHtH3qrFFPl+iVxlkp5QOI+yHVIyrrxK3wbqqclUxDxCP0aUlJXjg2nMwubZS0fcR8jVyd2sCuX6HG5dY/8C2Mc6ksWZbCBuWzsbtS2cjwaQV+SCCcDNqcnDgdNyTk3+L5dx3LZuLZgU5AptPROIpLGrz8w6IBvPyZzGU5MCU/zoPpf1DJ5AfP6Vy1PqqcslF2VK5gVQeL9Z/iDNpDCUY1f0AtcjJufW2D/IRxYMa21E7/gSc1pjWiWUpG/1UQxV+/fWLMKOpRjK3Z38DOi7IOTjBR0mNXUYTjGodaUGpfrWMf7GovV9i/ik/R95lwDiU1D1MSCzStxM02U0QBEGoQmz1Xqg3gpu/MBPtU+uRHB1Dy0QfNl0zT5fJa7UJSJ1Peedc6D1i7b53+Tww6TH8w8wmTYMCeie1bhw4IsYRs5Wtu3vw25s6cPuzbxWcnySnY6FGN3xt8nk96OpoRVlJCSZNqBAc7FZri3yaDB2LoCPQiN0qJvq5uPXsSMJ4pGKcz+uRNeGkJuaJ2e2uw2HERkYxuVb4/dE4kz23t7aqHP5qL+oEJufl7tbM9zvcuMRObnd1tGbPJGuZ6EPThArSF0Hkka9vNsZy825gPAfg6o+Ne3pNlinJEdjX3i8ygT6UYLD83DMlyzMqyYEp/3UeWiaX7Ep+XsxWM+Hb7bmozS85aSW3Pyym0bqqcqy+NJD1G5XlHuzrHcTW3T2IM2lUV5Sr7geoRU7OPaOpRlf7IB9RPJi5cQI4rbGpE6vw8HXnFWiMRSqmSU2C/f7tj7FlZzdeWrtENLcHTv8GL797QtAHkd3bCyf4KKmxy+qKcl0mktWg9HO1xj2190vIPwUDjVgVbMWabaGc16sZh+Lt3/sKF6HzYYdFFXKhyW6CIAhCFUIrv3xeDzZ3tuMH//P3nN2ki9r8WBTw67J6zuyONx9GJ2t6J7VuHDgixhGzlQXTGjCx2ostJncsuG1ifcJje3qwZWd39u9MJpMzEa3VFvM1WVtVji8vmIpbdhzQZPPRhHhpOTuUDiPsi1SskOOXuTGP7aS+Fx4u6KRy0VId5HgkUbCzil3M9blZTXjxUH/O68UWlixq86Nlog8vrV1S4Hfy41KcSWPLzu7s92+urxL9DgRRrHD1nR9jWYKBRjx6/QK89v5J3rinx2SZGsQ/txoARCsoKc2BKf91JlYNihtFfq6eX82EhbVLOZVXtGrT6ylFqHewwG9s7mzHk6/1ap5AERtUF0Ju7qKnfZCPKC7M3DghprE120LZ44rkaO2uZXOx4ZmDObl5/iSY3D7plPoqXDH3DFx8VmPBNcnu7YcTfJTcsUurxnHN/Fyx+/X9FfMBAEf6Y7yxMd8/ectK8cLBj7L+Ih+lx/Lx9e/vWzEfU+qrHLGoQi4lmYwBp5q7iKGhIdTV1SEajaK2VmKJFEEQtoG0azxH+mO47IcvFzy++tIAQr2DvKtEOwKNuH/FfJzZ4DOjiYpQ0yE3muORhGBSq3YSgP2edh04Iu2qwwhb0atN86fWF/gEdhfawrMaUVnuQV2VPrbIp2MAqm3+eCSB98PD+Mp//EXwNS+tXYIZTTWa2u10SLfaYohcvyzVSeUiFKNZhOw2GmeweltIsPLCpmvmYf1TuQtIPjerCRuWzsZtTx9U5YPsHpfcDGnXmXD1LZZ3L2rz49+unou6qnLdNWV03qx3XuM2P0PadR75Nu3zerBh6Wyc11Iv66gOPTUnFuv16K8ryVe4qM1d9MAsH0HaLQ4+HhrBd//zTd6jxIKBRrS3NGD/sYhkTGO19MbRQfy/b34GJ04lkRwdQ0VZKULHIjm7xNXow22x0SjsoFu73yu7jUdZPb7Ld7+GmbSi2KhXTJTq37Pl0O12D9VCO7sJgiAIVQit/GqfWp+zepXL7u4BHB2Io6aizHaJmZoOuRy0JFlG7Gqww654Qn+s2AEjZdtsm/qiIwU+gd3ByZZc02PgSkzHaq7Pnht4ztR6KvNGiKI1hsjxy0rPjleyOpur5SqvR7SE6EhqTNDXqPVBFJcIQhlcfYvl3bsOh5EcHdNdX1p9npzcWO+8hvwMYTVabJpPc4va/Ni0fB4+NVH5pLRYufDd3QMYSYmfMSyG0nyFi5U7y8hHEHrBLpbmm+gGxqs5bLhyNr7R0Spqcx8PjeDm3/wte53fv/2x4OI2LUeBkd07A7vfK73yNj0mqY0c35VL/v1SExv1iolyj+VzS1UdmuwmCIIgVCFUnkWKSCJlqzNutXTIpdAjybJ7UkvYBzNtRa5t1/m8eC88LHotPcqAG6FjtlPwxtFB3lKTi2xUOoywDiNjCBelZ8fLLXmXr+WHrztPtB2nRlKY0VTD+50oXhGEOXD1nRwVn5SKJvQ9akOrz1OSG5NPIdyGGpsW0tyuw2Gse2q/ql3YWo46kUJpvsLFCeV6CUIMVq+dF7aIvm4klZaMlfkT5lLHH5A+CKvRmrfpMX5qVt9cKWpio14xUUnMd0PuTZPdBEEQhGr4Vn6NSZyOUVFWaqszbrV0yMWwa5JFEFpRatu1leWi15sg8bwcjNAx2ymIM2ms2RZCV0cruoKt2dJxLRN9jirnRBiDUTEkHzUD01Krs/m0XFFWKvo5euiVIAjtsPo+Hh0RfZ3P69H1c7X4PMqNCUI5Uruw1VRNMzI31zqR7padZURxwup15cLpoq8T05jQhHl+n3RCZTkaq72kD8IV6JUjmtU3V4ra2KhHTDRjPM5O0GQ3QRAEoQm+8iyL2vy8CUYw0IjQsQiWn3ummU0UxaiV7XZNsghCK0pt24yShEbomNspYMuuc3lp7RLF1yTch5G7o7io7aSKrc7m03LoWITK9hOEQ6jzeRGJpwQ1Gww0otqr75CPFp9HuTFBKEdKc2qqphmZm+sxqO6GnWVEccLqVUs+LTZhzu2TGnmGPUGYjV45oll9c6VoiY1aY6KVR4RYgfjSfYIgCIJQSJ3Pi03L56Ej0JjzeDDQiFXBVrzTN2SrYGrUKjejk6xonMGR/hhCvYM4ciKGaJxR9RrCmVh5b5XaNlt+aXGbP+dxPUuu5evY5/Vg9aUBPHr9Ajx83Xmo9HoU/0Zsp4APN3YKiELk6MysldJK7VFO2/m0vHV3D1YFWxHMi+FUIpEg7Em9rxw3XdpWoNlgoBE3XdqGep++uzW0+Dwl+YPcPIdyXeug394cpDSnpmqanrl5vh3UVJbhc7OaeF9L+TNhZ/TwaaxehfJpOcdg5U+Y82GFlsjnGwf9tvqNn5q5i1nJfbNybMmM8Tg74bid3Q8//DB+8IMfoK+vD3PmzMGDDz6IRYsW8b72T3/6Ey655JKCxw8dOoSZM2ca3VSCIIii5VMTfbh/xXwcHYgjkkihoqwUoWMRPPlaL+5aNtdWwdSoVW5GJllyzrLR47wbwp5YfW/V2LbRJQm5OvZ5Pdjc2Y7H9vTk7MZW+hvRuYHFjVydmbVSWok9ym07n5a5JRI3XDkbI6k0lRAlCBtT5/Ni2kQfls6fknPURv+pJKZP9OmuWy0+T27+INeHWZ0PFTP025uHv8ZrSNU0PXJzITu45+q5AIAXD/XnPE75M2FX9PJp3BiZfwxWfVU5ZjTVYHJtpeg1uBPmfGd0y5kw1xvy+cZBv+04eo2fmtU3V3rfrB5bKqYjQkoyGYnDVW3Ek08+ia997Wt4+OGHEQwG8bOf/Qz/8R//gbfffhstLS0Fr2cnu9955x3U1tZmH580aRI8HnlnVw0NDaGurg7RaDTnGgRB2BvSrj2IxhlHBNPjkYRg0qH2TN5onMFN20KCSZbacwmjcQart4V4BzzY6wIQfM2iNj82LJ0NT2kJ/NX2ux9O1i5r70MjKdRWlRvy+8q5/0bfU6NsWyusjudPrUeod1CwbJzS9jnFj1mJk3XLh5TOfnDtOYiNjGa1XllWio3PvsU7qKv3ue5S9qjER9hVy4R5uE27xYyZsUpt3izH5wDCOSzXL9khH7ISo7UrltMW+29vBR+cjGPdU/uxm5PbslXTnnytFw9ce47pv7ncXIny51wo7toPvX2a1rElbqz0eT3o6mhF+9R6RRPmekI+3zjdFtNvKzVWpme/1Ijx3fzvova+0diS8ThqZ/cPf/hD3HDDDfj6178OAHjwwQfxu9/9Dj/5yU+wadMmwfc1NTWhvr7epFYSBEEQLE45b8uoVW63XjkL1w8mUFJSgn29g9i6uwcLpjVoWrkn5ywbAIKv2XU4jGMn47jhideLcsWoUZi1IteI8y6VTtJbvSpVCFbHfdGRgvO1WdT8Rk7xY4R+SOnsSH8MX/mPv2QfW9zmx73L52H9FbMwlDC24yplj0p8hF217ATMWNxEEEowM1bJzZv5dHL/ivm4WcTnHOmPyfJhUr7uo6ER0qRKpHJaOnvdfKyomiYV56TsIDYySucJE45Ab5+mdWwpPz9n+7VsrJSa6NY7RyWfbxzF8tvKGSvT2i/Nt/sfXHsOhpOjhvTNtdw3GlsyHsdMdjMMgzfeeAPr1q3Lefzzn/889u7dK/re9vZ2jIyMYPbs2bjtttt4S5uzJJNJJJPJ7N9DQ0PaGk4QhCmQdgmt6Jl08CVzi9r8eGHNIjT4yjV9jpyzbKRKtiRHxwCMJ2Lrtu+3dMWoG7QbjTMF9xsw5vfV+yx4tZP0di2DVOfz4r3wsOhrlP5GRCFu0K0YUjqLJHKff+VwGLfsOICHOttx1iRrB3aV+gi7atnOOLncoNu1S5iHVN4sphMxnyPXh0m97oPBBM6orXSNLzNLu3JyWr1zUUIeZzb4UFNRltXO8nPPhL+j1RAblxPnyA7kQXHX/kQT4ucjRxPKbVnr2JLa/NyIHLUYtW6Wbovht1UyVmaE3RvRNy+G++ZkSq1ugFzC4TDS6TQmT56c8/jkyZPx0Ucf8b6nubkZjzzyCLZv346nnnoKZ599Ni677DK88sorgp+zadMm1NXVZf9NnTpV1+9BEIQxkHYJvYnGGRzpjyHUO4gjJ2KIxsU7Qdz38SVzuw6HcfszBzW3S85ZNlKvqSg7Hf65u8GtwA3albvbXg/0PAtequMhZfN1Pi9mNNXg3JYGzGiqsc2Acl1VOVZfGsCj1y/Aw9edh60rL8DqSwPwecePsFHyGxH8uEG3YijxoSxyta42tshFjY+wq5btiFa/aTVu1y5hLHL9l5ROAAj6HLk+TOp1ACzNb/XGLO3KyWn1zEUJZaiN10pyD7lxjuxAHhR37Y/PK74PkO1DGk2+TgHhWCn0fiNy1GLUulm6tetvq2d/VelYmdI4Z0XfzK73jRjHMTu7WUpKSnL+zmQyBY+xnH322Tj77LOzf1988cU4duwYHnjgASxevJj3PevXr8fatWuzfw8NDVEyQhAOgLRL6ImWFbFGlyLy13ixuM0veJaNv8ab/X++1wQDjQgdi+Q8ZuXKQzdo18yVnXLvvxzcWjbL6ylFqHcwp5R5MNCIzZ3tePK1XkW/EcGPG3QrhpjO+Hwoi5TWzdgRrKePIApxut90u3YJ41Div7ToRK4P89d4sajNz/s5rJ9urLavFpVilnbl5LSt/mqKMw5Cae4hV7+Ub8iD4q79KS0tQTDQiD3dAwXPBQON8JTyzznoiR59BKNy1GLUulm6teNvq3d/1eixMiv6Zna8b8RpHLOz2+/3w+PxFOzi7u/vL9jtLcZnPvMZHD58WPD5iooK1NbW5vwjCML+kHYJvdC6MtDoZI49y2Zxmz/nce5ZNkKvCQYasSrYiq27e3Iet3LloRu0a+bKTjn3Xy5uLL8UjTNYv+NAwWDFnu4BPL6nBxuvmmPriSin4AbdiiGks0Vtfl4fyiKmdbNWnevpI4hCnO433a5dwhiU+i8tOpHrw+p8Xty9bC6Cgcac13FzXTftrDFLu3JyWoozzkFN7iFXv2QH8qC4a3/KSkuwKtgqGE+MnuzWq49gVI5ajFo3S7d2+22N6K8aPVZmRd/MbveNyMUxO7u9Xi/OP/98vPjii1i+fHn28RdffBHLli2TfZ1QKITm5mYjmkgQBEG4AK0rA82Y+JRzlg33NdFECiOpNPa+N4A120KIM+ns62jloXbMXtmp1xm7biy/JKbf3d0DGEmNmdwiwqnw6aymsgy37TiQ40NZpLRu5qpzOofbONzoNwlCCqX+S6tO5PqwBl85ls6fgq5gK5KjY6goK0XoWARrtoWwYFoD5bcqkJvTUpxxBmpyDyX6JTsg3EBjtRebXjiE9paGgnjy5Gu9eODacwz9fL36CEbmqKR147DTb2tEf9XosTKr+mZ2um9ELo6Z7AaAtWvX4mtf+xoWLFiAiy++GI888gh6e3vxrW99C8B4mYkPP/wQv/jFLwAADz74IKZPn445c+aAYRj88pe/xPbt27F9+3YrvwZBEARhY7SuDDRr4pPdwS33NccjCfz05SMFE9208lA77MrOddv359x3I39fOfdfCjeWX3L6rkvCXvDp7M5lc5EcVa51s21TDx9BFOJGv0kQUij1X3roRG6eu+TTk0zNv9yOkpyW4oz9UZN7KNUv2QHhdOp8Xty5bC7Wbd+fcwyWWbFErz6C0Tkqad047PLbGtFfNXqszMq+mV3uG5GLoya7v/SlL2FgYAB33XUX+vr6MHfuXLzwwguYNm0aAKCvrw+9vb3Z1zMMg+9+97v48MMPUVVVhTlz5uC3v/0trrjiCqu+AkEQBGFztK4MtGLiUw608tBYnPj72tVWtUC7LgmjUat1sk134Ea/SRBSKPVfZurEifmX3aHf1D2oyT0ozhHFiJV+T68+AmmX0IpR/VUj9UV2T+RTkslkMlY3ws4MDQ2hrq4O0WiUzlYhCAdRzNqNxhmEYwyGRlKorSqHv5oGJ5QQjTO4aVtIcGXgQ53tsn5P9j7QIJEyilm7VuEUW5Xj2/TSL6EM0q00xW6bbstNnOI3pSDtmoPT7V+t/3KLTuwIaZeQg5bcw076dboP5ULaJfJhdfr60UF0dbSifWo9kqNjqCz34OOhEVwx9wxF9m4n7bqFYtGtk/urTrJ7N8U0O0KT3RIUi0MjCLdRrNo9Hkng5u37c85ZWdzmx30r5mNKfZWFLXMWxyMJwZWBzQb8jpTsnKZYtesWjLJlJb7NbP0SpFu5fHAyjvU7DhTYsdttk3IT+0LaNR632L+esZXyXu2Qdq3Dafbr9LzYLT6UhbTrbIzSf18kgaMn43ho52Hs6R7IPr7oE6060dbdRDHp1ukxQwqrY7jbYpodocluCYrJoRGEmyhG7UbjDFZvC+UETRa7r8KzI2atDKRkJ5di1K5bMMqW1fg2J63sdQOkW2mORxK4/ZmDmNlcm92xUV9VjmmNPpzZ4LO6eYZBuYm9Ie0ai9vsX4/YSnmvPpB2rcGp9uvUvNhtPhQg7ToZI/UfjTNY/esQdnW7x9bdRLHp1qkxQwqrY7gbY5odcdSZ3QRBEIQw4RjDGzQB4JXDYYRjDAVOBdT5jE/oonGmINkCxu/Xuu37NSc7Hw+NYHCYwdDIKGqrytDg82JybaXWZhM6YPWKUr3bZaQtq/FtZuiXsC9G6UsPffzhUH/Oc27v2FJuQhQzbrN/rbFVS64QjTOIxFMYZkYxzKRRX1WOpgkVjvr9rMCu+aYWrPpORvfbjMSpebHbfChhD9T4kI+HRnDzb/6GXZxd14B++g/HGN6JbvYzyNYJI+HTxIymGk3vt5u92iGGU0wzB5rsJgiCcAlDIynR509JPE/oj1TSZ2Sy0zswjPU7DuSUweoINOLe5fPQ0lit6pqEPli9otSIdmmxZSmdkG8jlGCUvqzSh9Mh/RLFTDHav1hMV+sLqbyrOuyab2rByu9UzLFcT5RMihSjDyWMRY0POR5J4P3wcMFEN4se+reDrTthwpLQH61x1Sm5hpwYzr7OKA3YQefFAE12EwRBuITaynLR5ydIPE/oi1DSd+/yeWDSY4gmUhgdEz9JRG2y8/HQSMFENwDs7h7ALTsO4N//6Vza4W0RdlhRakS71CbucjpH5NsIuRilL6v0YTV6DHqRfoliptjsXyim37VsLqIJBkxaed4bjTP407sn8Pz+4wV57S4H7Ki1Crvmm1qw+js5MZbbbfJK6aRIsflQwljU+BD2PZ0XtoheW6v+5di6kXp2yoQloS9a46rVcZnbDiltSMXwSILBxufeMlQDFNPMgSa7CYIgXIK/xovFbX68InD+h7+G/0xbu3R+3YRo0vfUfpzb0oAtO7vx6PULRK/DJjtK79XgMFMwIMiyu3sAJ4cZxJKjdM9VokU7Zu4KUdJOre3yeT2ibeFL3OV2jsR826I2P9KZDI6ciJE9E7rri9VQcjSt6bpSHdvqCvt1yfQa9KqpLENHoBG7eWJSR6ARNZX2++5qoJyKyCcaZ1BWWoJFbX7Bs/nyc3MnIxbTb336AC5snYjgDL/oNfhyhXCMQdOECsG8lnbU8mPFLmSj/aDVO6vVDlJbFR/kxHEz26ZmUkTp+AZB6FldJBpn0BcdQeeFLWiZ6MPqSwPYursHcSZd8H65k1RC7ZOy9cry0oKzfvU8L9wOE5aE8eTb39hYRlNctTouA+KxrtrryX7fKonxqmRqzHANSI1rlXlKEI1TTqsVVaMLvb29mDx5MioqKnIeHxsbwwcffICWFvEVTwShld7eXoTD/A5VK36/n2yYcCR1Pi/uWzEf67bvzwmeiz8p8ccNmLRy01jEkr7d3QNYFWwFAISORRAMNPIO4LEdeDX3amhkVLR9kXgKnT//M91zFWjVjlm7QpS2U0u7onEG+3qlbTkfuZ0jId/WEWjE9Qun4+of70GcSZM9E7rqi6uhh687T9N1xTq2wUAjXj86iOqKMtvYrp6DXsPJUawMtiID5PiHYKARK4OtGE6KxysnQDkVkQ9rE28cHcTmznaMZTI59s+XmzsdsZge6o3gjqVz8PrRk4pzhaGRFJKjY6KfbccdtVZj9i5kM/yg1Tur1Uy8WhUf5MTxYSZtatvUTIooGd8gCCm9KfEhfNfqCDRic2c71mwL5Ux4y114IdU+IVu/d/k83PHsW4ZNxNlhwpIwHj77k9p8IxVXrY7LYrHu5u37ccW8Zqx/6gAAYPWlAcEF2Iva/Nj7nvGLKoViWvCTca3L/+8uLJjWQH1Ijaia7J4+fTpmzZqFZ599FjNmzMg+fuLECbS2tiKdLlzlRBB60dvbi5kzZyGRiBty/aoqH/7+90M04U04kin1VXiosx3hGINTIylMqCyHv8ZbsEKVVm4ai1TSxw7abd3dg82d7QDAOwgKQNW9qpXYKVdT6ZF1HSIXPbRjRukiNe3U0q5wjMHdz7/Na8vBQCPuWjaX93dR0jni+rZoIoWRVBp73xvIGWwgeyb00le+hirKSjVdV6xjuyrYijXbQvjvaQ22sV09B72iiRTWbAuhq6MVXcFWJEfHUFFWitCxCNZsC+HXX79Iz6abDuVURD75NsG1fwBomehD04QK19mFWEzv6mjF3c+/hTd6I6J5L99vUlNRptkHFyNmlso0yw9aXf5T6cSrlfFBKo5H4inc9sxBU9umdlJEzvgGQcjRm1wfInQtdpKsq6MVW3Z2AxifJJOz8EJO+4RsfWCYwR8O9fNe1y3nhRPGImR/UkjFVavjslis23U4jJULp2f/5o697s7LQe+4ag6++NBuwc/RUwOszvtPJdF7cnxei+0Xx5k09SF1QHXduFmzZuHCCy/Ef/7nf+Kyyy7LPp7JiJ/DRBBaCYfDSCTiuKjrDtQ2T9f12kN97+MvW+9EOBymyW7CsbA7IYWglZvGI5X0sYN2cSadHQS99YpZYEbHcjrwR/pjqu5VQ7VXtGxs/1BS1nWIXPTQjhnl+NS0U0u7hkZSObacP6E1lGAAVBe8T2nniPVtR/pjuOYnexV9P6I40Etf+RqSU4VDiin1Vbh72Vx0n4gVTPiyHVu72K6eg161leWIM+nsoGA+Tp+kopyKyCffJvLt/6W1S1xpE2IxvX1qffY34MsVApNq0Cywg8XrKcXHQyOCPngRlTLmxczyz2b5QTuUtFYy8WplfJCK48PMqOlt0zIpIjW+QRBy9CbXh0hV6bv58pmY3VyL+qpyzGiqweTaSl3ax9p5vq2/Fx4WvbYZ54UTzkbI/rT2ca2Oy3I3GQG5Y6+3XTkbI6l0zoISvuMJWPTWQJ3Pi3CMwQ1PvM77PPUhtaFqsrukpAQPP/wwfvWrX+HKK6/E97//faxZsyb7HEGYQW3zdExsOdvqZhCE46CVm8YjVbI2dCyS/ZsdBF1+7pmYPaUu57Vq79Xk2krcu3webtlxIGfCuyPQiNu/OAdf+fmfZV2HyEUP7ZhRjk9NO7W0i+0gC01oLT/3TN73qe0ckQ8jhNBLX/k2JlWFQ+51T8aFO7WAfWxXz0EvqwdBjIb8EZFPsdqEmNa58OUKT9+4ENN4FsUBQCTBoLmuCqsvCQDI9cGLAn7cedUcGgzkwczyz2bZvF1KWsudeLXSF0jF8WGRQX3AmLa5PR8grEWO3mY01cjyIVLXOnYygf/3Wi/uXzFf1kS33PYJYfRkNGnT/QjZH9vHLS0pKSivLyeuWh2X5W4yYmFz0H+Y2YRzWxpynjNbA8XaXzADVZPd7O7t73znO5g5cyY6Ozuxf/9+3H777bo2jiAIgtAfWrlpPGJnDK/8pGQtF6EESsu9ammsxr//07kYHGYwNJJCldeD/qEkvvLzPyMcY2RfhziNXtoxuhyf2naqbZfaDrLazhH5MEIMPfSVb2P5lQvqqsrR4PNqvm4+drFdPQe9rB4EMRqn3FPCPIrVJsSOa2iqrRB9r9hvUlNRjs6f/wX/e8lZuPkLMwGM++Sy0hLs7lZWjrPYMKv8s5k276SS1lb6Aqk4Xl9lftvcng8Q1iJXb3J8iNS1zvJXKy4xrMUfGD0ZTdp0P0L2x/Zx/3vNIoyOZVTFVSvjspJNRlz4KgiarYFi7S+Ygeoy5iyXX3459u7di6uuugqvvfaaHm0iCIIgDIRWbpoDX9JXWV6Kjc++lVMiRyyB0nqvJtdWYnJtJaJxBjdtC9E914jeE0BGdQC0tFNNu7R0DtR0jsiHEVJo1RefjbErwRe3+VWfoeUU29W7w++kyQmlOOWeEuZRzDaRr/Uqrwf7eiN46VC/6jKZ/hovFkxrwI9ePIwfvXi44L2rOOcxEoWYUf7ZbJt3SklrK32BVBz3eT2WtM3N+QBhLUr0JuVDpK7VXFep2Ga19s+NnogjbbobMftbMK0B9b5yTffaqrgspo0bLwmg6/G/FrxHSG9ma6CY+wtGU5JRccj2JZdcgh07dqC+vj772MmTJ7F8+XLs2rULY2Njwm92GENDQ6irq0M0GkVtba3VzSEA7Nu3D+effz4+d+tjupcxP9n7Dl78t1V44403cN555+l6bcJcSLviHI8kBJNloTPzCH2IxhlFCVT+vfJ5PdiwdDbOa6lHnEmjtqoc/mrpJMwp99zu2nXK76ilnayNDo2kZNsX931mdA6cch+KBbvrVg1G2djxSAJ3PHMQZzfXon1qPZKjY2jwlaNlog9nNvj0aLpumKlpJ+Nkf+RG7doBJ9uE3kTjDAaGxysK/aXnJJomVCA5OobKcg8+HhrBJZ+ehDMkfhP6PQuxm3adfo/U5r5SWP27iMVxq9tWrNhNu25Cz/5vZdn4JoUXD/UrvpYR7eO2kfJy83GDbp3o8+XGZj5txJk0brb593XiPXECqia75XLffffhW9/6Vs6kuNNwg0NzGzTZTciBtCuNlmRZrwEBowYW3Ab7Ow0nU6it8mLD0wexqzs3IbpvxXxMkdmJs3MHyQnateJ3VKMVNe08Hkng5u37C85skmNferZdyXXtbM/FghN0qwajbOyDk3Gsf2o/duWd/61FZ1wotprPx0MjnxwbMoraqjI0+Lyyz3G0Erdq1w4I+Q8t+nSyto9HErj5N/tV5a8Axfx87Khdp94jI3JfLmp/FzN8hVPvmZOxo3bdRDTOoP9UEtFECj6vB9UVZaivEt+1KuQD7l0+D0x6DEOJcX3UVJZhODmKaEJ9DCbNORO36NZJ9qckNgvFPCd8X24bqyvK4PWUIpJgUFPprDzfThg62V1bW4s333wTZ511llEfYThucWhugia7CTmQdo1DrwEBowcW3Eg0zmD1tlDOb8aipbSunSDtFmKWVoywL9J5cUC6lY/Rfpw0Zz5O/s1Ju+aixVacbGfFkL+aDWlXH+xqm8XqK4oB0q6xKLV/uT6AdFXckG7NRUlsdos23fI97ECpkRc3cB6dIAiCsIBonCkIwADwyuEw1m3fj2icMfU6ehGNMzjSH0OodxBHTsRM/3y5hGMMb8IHjP92fdER238HQpm9makVKfsKx5R9lt10zsUpmifch94648KnOZ/Xg/lT6/F+eBj7jp50nb1brWU7+znCXmixFSPszEztSOavQyOkFcISjIzJcsnX4sdDI7j9mYO28RV6YnXMJtyNGvuX8gH9p5K215WZkIaLA6vvs9zY7BZtuuV72IUyqxtAEARBOAc5SYec1e96XScfNeXenLSCbmgkJfr8e+Fh3PirfQByS29pKbVF6ItSezNKK3xI2dfAMAOciMm2o0g8hZULp6PzwhZUlnuwr3cQW3f3IM6kdW+7EpykecLeqIk5Ujo7JfG8GPn+wuf1YHNnO379l6MAgPap9fhoKIl+m54RrhQ7aNlMH004Gy22IvVe9kxsuf7IbO1I5q8nhnHvbw/hrmVzEaXSjYQOyI3PRsZkOfBpcVGbH9cvnI69RwYQZ9LZx9nFa33REbwXHub9XnaOSXaI2YS7UWP/Uj7g5DCDaCKFrmArzplan+3LSl3XjZCGiwM73Ge541JjYxnbxjwl8Pkun9eDro5WtE+tx7v9MUys9lJuLBOa7CYIgiBko9eAgBEDC2qSMqkVdHYrq1hbWS76fEXZ6YItrxwOY91T+3FuSwO27OwGQJ0Rq1Fjb2YOwknZ16mRFP7pZ6/KsqPjkQRue/pAzpnEwUAjNne2Y822EOJM2vABRD6cpnnCvqgdCJDS2QSJ58XI9xddHa349V+O4isXTcNje3qysQAAOgKNuO+a+fjURGdOeNtFy1ZPlBDOQYutiL3X5/UgAxSUexQ719Bs7cjJX185HMatTx9A+yd5K+WshFqUxGcjY7IUQlrcdTiMsUwGXR2t2bjNLl7Lj+X538uuMckuMZtwN2rsX8oHxJKjuOGJ1wEU9mXFrus2SMPFgV3uc02F+HRlaQlw2b+/jEevXyD6OqdoM993yY35BD+GljE3gocffhitra2orKzE+eefj127dom+/uWXX8b555+PyspKnHXWWfjpT39qUksJgiDch14DAnoPLKgt+2KH0nVK8Nd4sbjNz/tcMNCI0LFIzmO7uwfQPrU++zeVwbEWNfZm5iCcXPuSsqOsHjkT3QCwp3sAj+3pQVdHq+5tl4vTNE/YEy2lxsR0trjND3+N+gGEfH/RPrUes6fU4bE9PdiTp8fd3QNYv+OAY+OBXbRs5UQJ4Sy02IrYe7s6WrFRQcljK7QjN7/Yw8lbKWcl1KA0PhsZk6UQ0+KevD5cV0crbyzP/152jUl2idmEu1Fj/0rGV/L7smLXdRuk4eLALvfZ6ylFMNDI+1ww0AhvmbzpTKdoM993yY35BD+O2tn95JNP4l//9V/x8MMPIxgM4mc/+xkuv/xyvP3222hpaSl4fU9PD6644gp84xvfwC9/+Uvs2bMHN954IyZNmoQVK1ZY8A2IYqe3txfhMH/g0ILf7+fVAEHoDdsZeIUnAVIyIKDXdVjUlmyz2+p3qZJ7dT4v7lsxH+u278/57YKBRqwKtmLNtlD2MbbszaQJFXj4uvNyykg7pZyPFtSUFzYaNfamt1b44P5Wt105G2/0DuLu59/Orljnsy8xXUkN3nUFWw0fQBTCbpon7AFXAzUVZfB6ShERKaWrpUyokB9f3ObH/Svma/JT+f4iOTqG9qn1OSvCuexyUHm3fOyiZTN8NOEOtNiK2HsXntUoqHE+f2SUdsTyLj6/5/N6cNuVszDvU3X4YDCBrSsvwL7eQYyOZUTbT8jHjrmw0W1SGp+NjMlSSGkxOTqW/X+xWM79XnaNSXaJ2YQ7Yf3KqREG/72mA8NMGidiSVSUnR7/WDCtgdf+WR+Qv0iGr/8LnO7LshRLrkca1h87xmj2PnNLaCdHx7JjicNJc+5zJMFg1Sc625NXKXBVsBV90REAQOhYBMFAY8GkMOAsbebHbrkxn+DH0MnuRYsWoapKv631P/zhD3HDDTfg61//OgDgwQcfxO9+9zv85Cc/waZNmwpe/9Of/hQtLS148MEHAQCzZs3C66+/jgceeIAmuwnT6e3txcyZs5BIxHW/dlWVD3//+yGa8CYMR68BAb0HFtQm33Za/S635N6U+io81Nn+SYcuhcpyD54/0JdTTkuo7A1besusJNUq7HDOEB9q7M3oQTih3+qFNYsQjiURTaQQOhYpKNcGCOtKSo8ADB9AFMJOmifsAZ8G2I5058//ggXTGgp8h9YBn3w/PqGyHP4a7QMc+f6ioqw0Z7BcTVvtil20bOVECeEstNiK2HsrJHa35GvcCO3IybtYv9cXHcHRk3G0Nlbjruffwi07DmbfEww04qr5U+DzerI5h1N9lNXYMRc2o01q4rNRMVkKKS3WV51+Xm4st2tMskvMJtwH61feODr4yfjHuwWTY1tXXoDpE32C9j+lvgr3LJuL7hMxJEfH8KmGKvz+7Y95+7/AaT1arSszIQ3rix1jNDB+n8XGEv/XeZ8ypR01FeXo/Plf0NXRiq5gK5KjY6goK82OSz3U2Q4A2Lq7B5s721FaUlLwWzpJm/mx2639d7PQdbJ7dHQUx48fz064vfDCC7pdm2EYvPHGG1i3bl3O45///Oexd+9e3ve8+uqr+PznP5/z2D/+4z/i0UcfRSqVQnk5OWPCPMLhMBKJOC7qugO1zdN1u+5Q3/v4y9Y7EQ6HabKbMAW9BgT0HFhQm3zbZfW70rNx6nynf6donMH+Y5GcjphQ2Rv273uvnmfUV7Ecu5wzxIdaezNqEE7st7r9mYO4e9lc/K+fvir4fiFdSemxZaIPzRZ14uyiecIeCGmA9ZXseZn5vkOPAR+uH9cTrr8Yy2Rw4lRS9PVOHZyyk5atmighnIcWWxF6r1RJyXyN660dJXkX+9/QsQh+8er7vHnq3c+/lXNWsVN9lJXYMRc2q01q47NRMVkMKS3OaKrBS2uXZBc3i8H9XnaMSXaK2YR74PqV1ZcGBMc/PCUl2ckxIep95Xh87/vYdTiMR69fILirEgCmN/rw0tolluvKTEjD+mHHGM3ir/Fiw9LZglq6/ZmDprTPX+PFgmkNvDrkHi8QZ9JYsy2E/16zCKNjGdvEPDVwY3dytHCRDRfKjcXR9czut956C62trdIvVEE4HEY6ncbkyZNzHp88eTI++ugj3vd89NFHvK8fHR0VLCWdTCYxNDSU848g9KS2eTomtpyt2z89J86dDGnXXOp8XsxoqsG5LQ2Y0VSjOpHQ6zpqz1tjV9Dlv9fslYBazsbh+w7tU+t5S/kA40kqkxZfKWgmemvXLucM8aHF3vTSChep34pJj6nSlZQemyZUqGuwDthF807HLTFX7nmZ+b7DyjM+5cD6i7bJEzCt0YcOgTPP7NBWtdhNy0b4aCNwi3adjBZb4XuvUn+kt3aU5l11Pi/OaxHOU3dxfK+TfZTeKNGuHXNhs9pk9/jMRUqLk2srs3pvrqtUrHM7xSS7xWwzobhrHFy/Ijb+IcfH1Pm82LR8Hjo+mUgTOi94cZsfZ9ZX2UJXZlJsGjZSt3aM0SxSOZpZ7ROyN7b62tbdPdnHFkxrQL2v3FYxTy1s7D6zvsoxuYwdcdSZ3QBQUlKS83cmkyl4TOr1fI+zbNq0CXfeeafGVhIEYTZO1q4dz2pxGlpKttlh9bveJXFTnPMO+RhOjipuo1HorV27nydlB3tjkfqthpOjqnRldQlFKZ9qp3vgVJwcc7koOS+T6zustnG5ROMMkqNjuPOqudj43FuOLu/GB2lZOW7RrpE4LS9X44/01I6avIuvLCyX5OiYK3yUnijRrh1zYbPa5JT4zCJXi3b7Xmr8ZLHGbIq7xsH1K3qU/f3URB/uXzEfx07G8cX5zbjn+UPY1V2oNwA40h9zTJ6gF8WkYSN1a8cYzUUqRzOrffn2VuX1YF9v7vF6dhlf0hu7xXynoWiy+7zzzhN9PpFIaGqMGH6/Hx6Pp2AXd39/f8HubZYzzjiD9/VlZWVobORfpbV+/XqsXbs2+/fQ0BCmTp2qsfUEQRiNU7Vr17NanIiW5FusdJ1UYqNH4qN3Sdwj/THN1zMLvbXrhPOkrCiVyIW1WalzPidUlovqSsz2reoMy/WpVt8Dp+PUmJuPlL/gaiTfd9htwCdfj5Vlpbjj2bfwh0P98Hk96Opoxb8smYGK8lLUV3l52+q0ST6AtKwUt2jXKJyal6vxR9znhkZSQAkwMjqG4eQoogn5PkBN3iX1nrP81ZaW8bQjSrRrx1zYzDZZGZ+jcQb9p5KIJFKo9npQXVGG+qpySS1qOcrAbJ1o8ZPFGLMp7hoH169I9WurK8pyJqhrKsp4492ZDT7UVJRhYJjB7V+cjfRYBnEmjbqqcb3FmTRWbws5Lk/Qi2LRsJG6tWOM5mJF+4T6oPn2dkZtJS6cPtGS8aU3jg6iq6MV7VPr8X54GFMbfJhcW2HY59sl5jsRRZPdb7/9Nr785S8Llirv6+vDu+++q0vD8vF6vTj//PPx4osvYvny5dnHX3zxRSxbtoz3PRdffDGee+65nMd+//vfY8GCBYLndVdUVKCiwrrymm6it7dXsFy8Fg4dOqT7NQlhjLqPwPgiFr3OGXeidu18VotT0Tv5lurM6zUoqvcZSE46U0lv7Trpu1sB12ZXXxpAMNDIW6ZqUZsf6UwGR07E4K8eL6ckdB0Wru1bMWlGPtU8nBhz+RDzF9zzwIR8h5yYY4YW+PTYEWjEymAr9h4ZQJxJY8vObmzZ2Y3FbX5eLTh1ko9Qhlu0awROjyFKc2Axv8HumpHjA+TkXawfjCVTqPd54SkdzzP4yngubvOjua7S1r+1FSjRrh1zYbPbpGefUM7C54FhBhkAG585iF2cvDoYaMRNl7Zh2kQfmnWIpVZPNDndT1oBxV3j4PoVtvS4UL/29aODWP/UgexjYvGOqzN2AcvJOIPU2BhCRwfxxtHBnOuT/bsPI3VrxxjNRW779OrjKumDmt33ZmPeG0cHsbmzHY/t6ck5R9zovrLVMd+pKJrsnjt3Li666CL8y7/8C+/zb775Jn7+85/r0jA+1q5di6997WtYsGABLr74YjzyyCPo7e3Ft771LQDjK28+/PBD/OIXvwAAfOtb38KWLVuwdu1afOMb38Crr76KRx99FNu2bTOsjcQ4vb29mDlzFhKJuGGfkUpad45FsWD0fayq8uHvfz+k24S305BzVgsFtlzMnECT6sz/4NpzdOvs612mJsGkcfsX52Djswexm9Ph6wg04p6r57rarqjkjzD5Nr11dw82d7YDQM7AQEegEdcvnI6rf7yHd7BbTBt3PHMQd3xxDtbvOGD6pBn5VEIpQv6CPQ9szbaQJt9hxgSykB53dw8gA6CrozWnU86nBRq8Jgj7xhAjcl+5fkOOD5DKu+JMGt/jDBR+/3fvINQbwebOdoxlMjn5B+Vq+mDHXNiObZKD3IXP50ytR6h3sGCijf176fwpuGLuGbb9nnKxq58kihOuXxHq1y5u8+PGSwLoevyvOe+VE++ORxK4+Tf7c0qZBwON2NzZnlNKGZBv/06sokToi93joZz26dXH1bsPqrRdUnpkY97qSwN4bE9PQYynvrI9UTTZ3dHRgXfeeUfw+QkTJmDx4sWaGyXEl770JQwMDOCuu+5CX18f5s6dixdeeAHTpk0DML6zvLe3N/v61tZWvPDCC/jOd76DH//4x5gyZQo2b96MFStWGNZGYpxwOIxEIo6Luu5AbfN0Xa/dd+BVHHz2EYyO2ufMWbdi5H0c6nsff9l6J8LhcNFOdgud1cKWG02OphHqHaQk+BPM3nUm1ZkfHNa3s69XmZponMEf3z2BF9/+COe2NGBVsBXJ0TFUlJUidCyCu59/Gw9ce46r7YlK/vCTb9NxJo0120L45uKz8J1/+DQyACrLS4FMCXa+83H2dflJvJg2zm6uxfqn9ufsauG7hhHY/fwrwp7k+4vqijJ4PaWIJhg8t7pDte/Q2nmXOxgmpsc93QPoChZW5MrXAg1eEwQQS6aw+tIA2qfWIzk6hspyD/b1DmLr7h7EmbQlMcSo3FeJ35DjA4TyLgDZcq/5A4VrtoXQ1dGa/ayWiT40TTCuHGSxYcdc2C5tkhtflSx8Xrlwes7CMi6sptwQSwfj4htOKNd2N3acqOX6leFkCvdePQ9MevxIjgmV5SgrLcHlm3fxnkMsFu+icaZgopt9D1C4mBSQtn+qokSw2CUeCiF1lJ1eE9R69kHltov1Y4NxBqn0GPYcGcjm+vl6ZMeX2qfWC8Z46ivbD0WT3Q8++KDo8zNmzMAf//hHLe2R5MYbb8SNN97I+9zjjz9e8NiSJUuwb98+Q9tECFPbPB0TW87W9ZpDfe/rej1CGiPuI8F/ForP67GkPIrdsWLXmdTE2dCI+IIbNZ19PcrUhGMMmiZUYOffT2Dn308IvsbtyRiV/ClEyKbnnlmHH/3h3ZyVqvmr1rlJvJg2rOwI1FSIp7XVEs8TxQu/v6jWdE0tnXclg2FSsSo5OlbwWL4WaKEIQQB1VV6EegdzYhg3Fpp9hqKRua9SvyHHB/D50SP9sWz78/MD9ngFlpfWLqG8TWfsmAtb3SYl8VXJwme+WMslOTrm+FgajTNgJL6n1WfNEsZh54laMb8S6h3knehmEYp34RhTMNHNIrSYVMz+qYoSkY/V8VAKofbpOUGtZx9Uql0DwwyGmXSBDrm5fr4e2TF7qRjv9PjuNkqtbgBBEESxwp6FwqWro1W0PEpUYjW1nYnGGRzpjyHUO4gjJ2KKvouchEpv+BYj5D4vPnEm1dnX8nuIMTSSomSM4IXPpoV8zp7uATy2pwddHac78qzdiGnDStvzekoRDDTyPhcMNMLrMS7tNUrPhHNR23mXGgzLty2pWFVRlmv3rBa4Nlvl9WD1pQH4vJ6C9/u8HjT4vGTfhKuJxhlsePqgYCzcsHS25jMUlcYJI3NfJX5Diw/g+kHKTQmrURpflSx8zo+1+VSUlWqeCLY61wzHGOx9b0Aw115kg7NmpbD6N3QqSrVjJ5TmyaxOlS4Kyz/LON/O9IrpZMOE1eg5QS2lTyVxU6pd6bEMrx/LH/fi6pEds5eK8dx2immU9GsOqra4PPbYY6ipqcG1116b8/h//dd/IR6P4/rrr9elcQRBEG6G7ywUt5ZH0boSWO9dZ3JKcLGJzSs8nZLFbX40VIs/L9bZN3JldG1lOU4OiydNtOpef+xW1o2vPXw2LeZz8lets3Yjpo26Kv06LEqJJBis+qS9+bvUVwVbEU0w0Lpblw8773Qg9EGNvtV23pWulhfTY0egEaFjkezfrBZOxpO47ZmDOZ9z2cxJ+H/f/AzCMQYjqTQqyz048GEEn2ltxG1PH8zZ3UL2TbgNqR1cty+drSmmq4kTUrlvNJHCkf6YqF8S8l1ifiPI8Rs+rwdbV16g2gdw/aCSgULCHdgtN1YaX5UsfA4diyAYaCxYMAOMa6r/VBILpjWobLk9cs2hkZTgucjBQCPuvGqOrccp7PAbOhWl2jFC+2qvKTfeAbljOEomyeWcZbzmsjbR68kZzyIbJvKxIs7qOUEtNeaqZAEV2y72WND8Y4nSmYzsI3xYPbJj9i+/e0IwxnPbKaTR+1fMRwYg/ZqEqsnu++67Dz/96U8LHm9qasI3v/lNmuwmCIKQyZT6Kvzg2nMwOMxgaGQUJRKvd+KuBz1KNumZUMntJNT5vLjn6rm4ZccB7OYkNR2BRtxz9VxMrq0sWKzAXovt7PBhdAkrf40Xr71/UlYyRuiDER1PLR0Xsfbcv2I+bubYrJyyi+z7WbvhW6gDjA8YTKgss8z2airK0fnzv2TPAOWeVb9mWwjPre7Q/TOpJJ37UatvtZ13pYu7xPT4//3jTAwOM3j4uvNytPAf/7wg5/v4vB50XjQN9//P33O0u2n5XGzZeRi7BKrNkH3bbzKHkIbvnknpLiFSAlXO56mJE1K570gqjWt+sjf7d75fkvJdfH6jI9CIlcFWrNkWAgBsWDobP97ZXbAQQK4P4PpBsclAyk3dhx0nZZSeN61k4bPYJPBNl7Zh+kSf6tgg5ENePzqIl989gQXTGhBLjhoeg2oryxFn0lizLcSba9sZyte1oSQ3NUL7YhNIPq9HNA8TypPz413+GI6Y/hcFGtFcV4mn/mUh6qrknWX8rSUzRL+jnKqAZMMEF6virJ4T1EL6lBpTFWrX52Y14UsXthQcC9oRaMRnPz1J9P3lZaXweT2IM+kcPU6pr8IVc8/AxWc1YkPeYnFuO8U0+qd3T+CF/X2q82lCGaomu48ePYrW1sLzKaZNm4be3l7NjSIIgigW8hOUR69fIPp6J+560ONMF70SKiWdhGicwV3Pv41zWxqwKq8zf/fzb+OBa8/BlPoqPNTZjnCMwamRFCZUnu7sCKHnGTd81Pm8+OynJ6HVP76DlTvgskhF0kiIY0THU0vHRU57uDZbWV5YtphLRVkpb2djSn0V7l42F90nYjna6Hr8r7hvxXwAubanpsOiFH+NFwumNfDuVDdqIN1oPRPWokXfajvvahZ3sbHoo6ERfDCYQF1VOd79+BQ6f/7ngnMKF7X5sfe93MkmoeMMmmorCya6Wci+7TmZQ4gjdM9uvXKW6Pu05N9q44RU1YZ8HXP9ElC4eyT/NXw5bE1lGYaTo/j11y/ChMpyjGUyWP/UAcVtZ+H6QaHJQDPyA8Jc7Dgpo+a8aak4nr/wmZ0E/vZnA/B+Mmhe7S1Dva9c0/fl8yE+rwebO9vx2J6eHI0aGYO4Pik/117c5sc3OgrHiO0C5evakJubGqF9scUeR0/GCxZk8WlATrzLH8Nh9c93vu+3L23DRJ8XZ+TpTMzO9r43gEVtft7n5fRTyYYJLlbGWT0nqAF+fUqNqQq1a+NVc/C97fsL+rS7uwdw42fFcwBPSQk2d7bjydd6C/TInl++RaSdYhptmlAhWEGK9Ks/qia7m5qasH//fkyfPj3n8b/97W9obOQ/v4UgCILIhS9BceOuBz1KkCtJqMR2WSnpJIRjDP5wqB9/ONTP+3r2tew/uehdkp2P5voq+Lwe3Hv1PAwzo4gzadRVlaNpQgUlUTqjd8dTa8dFTntmNNXkLOoQXLXe5kdgUo3gZ56MM7jhidcLHmcH+269YhaY0THVHRYucnZP6t3xkoMZeiasQ6u+1XTelS7uytfG3DPrEE+O4qKzGnH+tIaCSb07rpqDLz60O+caQscZ0Bm7wthxMocQR+yeXd4b0W2XSj5q40Sdz4v7V8zHn949gaYJFdlSjB8PjeCM2kp8+9f7Ct7DPWdQju+SymFDvYOq2s6F6weHkynce/U8MOkxDCdHdckPCPthx0kZ7nnTfP1sofOmpeK4XoP0YvD5EL5Faj6vB/On1uP98DA+iibGjyzQcae3FXm2XlC+rg25uakR2he6ZldHKx7aebhAz0J5mNIxGwCo9npwz7K5GGZGMcykMaGiDFVeD+qr+BewiNnZ1t09eO6mDtz57Fuq9EM2THCxOs7qHftYfbL92vfCw6itYhTHsJHUGG+MB8QXnAQDjXj1vQG82TsoqkcxPyKmUepTm4uqye4vf/nLWLNmDSZMmIDFixcDAF5++WX8n//zf/DlL39Z1wYSBEG4Fb4ExY27HvQqQS4noZLaZSW3kxCNMzj5Sak7oTNfhpPqEhI9S7KLoaZDRyiHz6a4NjMwzAAnYrITda0dF71KILM+p1lkZ4iQLceZNLbs7Mbyc8/E7Cl1ou2Rg5Ldk3p3vKQm2c3SM2ENei3WUmJ/SgaThbRx17K5iCUY3L50NryeUkQTDKorxrUwMMwU7PYW6oCbccauU8uAWz3IRChH7J7d/fzbeGHNItz+zEHdJ3G0xIkMUFD2cFGbH6uC07N/5+epzGgaydE0Vl8aKMhdt+7uQZxJyx5U0yvGUU5aXNhxUkbLedNS9iv2vB4xjk+H+YvUuDu9uY/rvdNbjzzb6WfMFiNyc1MjtC90TaGFmkBuHqbW3sT6n2qqM8WZNEoA1fqpqRCfviEbLi7sEGf1zO2icSZboaykpCSbsy6Y1qAohgn9Lj6vB+WeEtx11Rzc/uxbBdUaVn1ypEGcSWMkJT4xLYSY/s3oUxOnUTXZfc899+Do0aO47LLLUFY2fol0Oo3rr78e9957r64NJAiCcCt8gZh7DpaeuyKtRO8zXcQGE6R2WUl1dGuryrMdm5ULpwsOHAQDjfhf531Kdru56Pl7ENaTb1NaB5u0dly0lEBW2vE2w5bV7J7Uq+MlZ5Kd9OxurBoclaNJMW3c+vQBtLeMl/Tn8z35NivUATe62oyTy4DbYZCJUIbYPYszaQwlGEN2aKqNE1mN55U93HU4jLFMBl0drdnJO27O4fN68Oy3gwj1Dhbkrps727FmW0i276IYR6jBjhOLVpw3rVeM49Nh/iI1oeNIjKg2oiXPdsMZs8WKnNzUCO0LXVNqp+RwMqXa3tRW75Gys8Zq5VUBgXHdvH500HUVIAn12DHOquV4JIGbf5Ob73JzViUxjO934Y7P/ezl9/Crr1+ElQun5+QA7EQ3oL4PJ6b//lNJikEmIr60QACv14snn3wS77zzDn75y19i+/bteO+997B161Z4vXSDCIIg5CC1K7KizINzWxpySg47EXYl8OI2f87jeu9Wl9plNTDMoKayDL/++kV4+LrzsHXlBVh9aQA+ryfbnuqKsmzHJnQsgtuunMU7cLCnewC3P3MQ0U92fyvBrN+DMAc2qWWRGmySshmtHZf89nARS6TrfF7MaKpR5HPMsGU5uyfVEo0zONIfQ6h3EEdOxHLujdQgB/ta0rO5iN0zI1CrJz2Q0qSYNvZ0D6B9aj0AeTYbOhZBR6DwKKqtu3tw06Vthti3XI3ZFTcNMhULUvesuqJcVSyUQm2cYDXu83qw+tIAHr1+QTZ/bW9pwIKWBt6co6ujFRufe4s3d31sTw82LJ0t23dRjCPUYGXsFIJtE9vPvuGJ13Hjr/bhhidex/5jETRW69smuTFOTl7Dp8P8RWrtU+sFS7dqzZf1wsq4T75MH6RipBHaF7pmvgbyY2VFuQcvv3sCbxzNPY5Djr2p7X8aYWesbu5+/m2sCrYimJevkw0XJ3aMs2oQWtjJ5qxdHa2KYhjf78LNleNMGieHmZwcYMvO7pyqZ2r7cGL6v+TTk3Dfivn43KymHD+17RsXYdM180i/OqNqZzcAPProo/jRj36Ew4cPAwDa2trwr//6r/j617+uW+MIgiDcTDGtMLbqPDMWn9eDDIDv/tffCkrWbO5sx5Ov9Y6XfR0ZzT6/dXcPnvzfn8EtOw7yXlNLmVIzfg/CHPLLusktqSaEVr9g9nl6RtuyUbsnpVb6KylRTHo2Byt2A9n5fEopbXB3vEjZbG1VOb68YCpu2XEg53sumNaA6RN9hti308uAF1MO5xasvGdq4sTQSEq0wtBV86dgAVCQc4jlIXu6B3D70tmKtEUxjlCKHWOn2W2Sswh7mEmrPqanwZfrz5xwHqjVcZ98mfEYoTOha/afSmbP3xWLlezuUO5klpS9ael/6m1nXN3wVaYITKoRPXaMcCd2jLNqkFq83RVsBSA/hvH9Lvl5sZGVy6T0f8cX52D9U/sNPW6EUDnZvWHDBvzoRz/CTTfdhIsvvhgA8Oqrr+I73/kO3n//fdxzzz26NpIgCMKNuCVBkYtUySat53eJ7djp6mjFxmcOYhfPLpfSkhI8cO05mFxbiVDv6ZW/cSaNDwYTop+pZOCA7/vNaKqR/X7CvnCT2oFh8VWnUjajh18wezBHTjk2tfo2Yvckd2dJ/lmnRweG4SktQSyp/Oxzt/lsO6G2nKAeiOnJyvOmpbRRUVaaY98DwwxwIpZtI5/NivkNvb+X08uAF1sO5wbscs8yAFAi/braynLBajF7ugdw92/fxq1Xzip4n9SkV4Iz4A/Ii88U4wil2HFiUU2b1MZ5qRiXHstoPqaH68+ccB4o+5vk596V5R7s6x3EsETurQfky4zHiLxZ6JpLPj0J67bvx/yp9YKxEhgfC8pfBCaWZ2rtf+ppZ1xfwlam4PL0jQsxDdWC77eyr0IYix3jrFLkLt4W0xyfjXN/l9RYJuf17BFAAHJ8hl79ASH9R+MM1u84UDAm/crhMO545iDuWT4PsZFR0qoOqJrs/slPfoKf//zn6OzszD521VVXYf78+bjppptospsgCEImbkhQ9ECPHXtiO3YWntUouMtl1+EwhhIpxEZGCwYKvB59Bg70+H7UUbE32aS2Pyb6uspyD0K9g6L3UA+/YPZgjph9arF/I3bicUvD8u0CWNTmx93L5sLn9eTsAuBih0HDYsLK3UBCtm31edNi2ggGGnHweJTXvsXaqMVvKI1RbigDTjmc87DqnqnxF/4ar2T+ikzh40omvYTade/yeWDSY4gmKOcsFozoZ9hxYlFJm7TEeakYlx7LaM5ruP5sLJPJ7nLNRypfNquPWVtZLroD93+d9yndP5OwBj6diemp2utRteiqzje+ULMvOiJa0YTdHcpFLM/U2v/UU1Na8mWr+yqE8egVZ60aa5SzeFtMc2I2zm4sOpI3Phdn0jlVEuqqytHg82Y/40h/zJDfQWg8w+f14EsXtuC7//lmzkQ4aVU9qia70+k0FixYUPD4+eefj9HRUc2NIgiCKCbsOBDAYkbSo9eOPbEdO1IDf70n47jhidex+tJATkkbPUrc6PH9qKPiHMQ6xx2BRjx/oC/bGTdq0slspAYvtNi/ETvx2BXEQjvmdh0OY8MzB7Fh6Wysf+pAwfupRLH5WLULWMi2N10zD+ueOiBo13cvm4uTccbQwQIhbQQDjVgVbMXBD6O89m3Ebni1E3luKAPuJF9NjGNkNRKha6mJg3U+L7wS+evJYaZggktu7irarqf249yWBln5CuF8qJ9RiNb+m1SMizPi46ZKSray7bhfYb4cjTP4aGgEHwwmUFJSgn29g9i6uwcLpjUYcu/9NV5sWDpbcAfu7c8cNLRSD2EdYnq6eft+XDGvOafPpcT/1Pm8eC88LPqa/Ioni9v8qKksE5zU0tL/1Nufqs2XrayKRTgLK3MAqcXb/aeSojFMjo3zfQZbJWFxmz/7OqN/B6HxDKExKdKqelRNdn/1q1/FT37yE/zwhz/MefyRRx7Bddddp0vDCIIgCGsxK+nRc8ee0I6dcEy8tDRLfkkb9u8SALtVlrjR+v2oo+IshDrHHYFGrAy2Ys22UPYxN9xDKfvcsHS2rjtX9NiJx64gFjvXdNfhML73hbMLJgyoRLE1WLELWMy2jw7ERe26+0QMNzzxOgBjBwvytVHl9WBfbwRrtoXwUGc7HvzDYcE26rUbXstEnh1KShNEPnrnv1rywAYJHYyMjuHblwRQ8sm1gPFcduvKC1BaUlLwHbjaEmvX7u4BrOLshHNDvkLwQ/0MfrT236RinFDlIBY1eY2SfPl4JIGbf7Mfu7pzF8ux5xsbce/rfF6c11LPu5AUMOfcbsIaxPS063AYKxdOz3lMqf+RszuUZXGbH/dcPRe37jiAPxzqz3mcG+fVHnugtz9Vmy9bWRWLcA5W5wBC9s1W2mvwlWu2cTkaMuN3EPJTYmNSpFV1qJrsBoBHH30Uv//97/GZz3wGAPDnP/8Zx44dwz//8z9j7dq12dflT4gTBEEQ9kdusNdj54veO/aEduyIrRgMHYsA4C9pM7Hai3//p3MRGxlVNdGm9ftRR8V55HeOK8s9eP5AH9ZsCxUMbgndQ6eUrZeyz0hCH33ruXuSXd0rda7pB4MJtLc0ZEvftUz0oWlChS3vg9uxYhewmG1L2TXXtoweLMjXxhm1lbhw+sTxM7pFiEp8B7loiVFUBpywG3z5r8/rwfyp9Xg/PIyPoonxXSIKYrKWPFBqxwu7E/O/1yzC6FgmR0dbJLQl95xEFso53Ukx9TOU5NZ69E+lzi42Iq+RW7ni5u25E91A4fnGRtx7qUl+oyr1EPqjp574+mRK/I9UPyEwqQZP37gQEyrLUVNZVjDRzX5efr6utP9plD9Vky9bVRWLcBZ2yAHU9geV2LjQZwDjZctPxhmsCrbinKn12Lq7JydW6fU71FSWoSPQmLOJCuD3f0Lfg5CHqsnugwcP4rzzzgMAHDlyBAAwadIkTJo0CQcPHsy+rqSkRIcmEgDQ29uLcJjfAWnF7/ejpaXFkGsTBKEcO0xySSU9A8MMhpm0LjtfzNixJ7Zi8PqF03N227IlbQDg6RsX4qxJ42e9TK49fb1onJF9lovW70cdFWfC7RyHegcFV2sCwGCcyTnHWy9tCaGnj5Gyz2qvR/R5K87lZf3B+xIl77ye0pz79tLaJa4Z8HUaVuwCFrNtqaMx8p+X6iTrqcms78k7nyyfkVQafZEEfDLOSRRDa4yiMuCEUajRVX7+K3S+rJKYrCUPZH1ffk7AHlfALqIbjDNo9VcD+ESTJYC/2ps9r1BNu/j8HOWc7sOqfobZ/V2lFRvU6FboO9mtuolYP597vrER996KSj2E/nD15PN60NXRioVnNcJbVoqG6sIFYWriDaBsUbSYnprrqzAN4zHySH+sYKKbReuklpH+VGm+TFojxGDjldTiaLPyPjX9QaU2nv8ZfHkBt8IJd8Jbj99hODmKlcFWZICcyoF1Veq0aod5A7uiarL7j3/8o97tIETo7e3FzJmzkEjEDbl+VZUPf//7IZrwJggbYJcz06QS9fRYRrcyL2bt2ONbzVdWWoLLN+8SXGXOl1govUdavx91VJyP1D2MJlLZksebrpmHF/b3Fey20Gt3qN4+Ruq7VXvLbHku75T6KnhKSwrOOmXhVnxgoUF+azF7F7CYbYeORRTZDiBsP0bFfakdoa+9fxKlpSX48c7uHH+j9LMpRhF2RK2u8vNfPc7R05oHTqmvwj3L5qL7RAzJ0TFUlJUidCySMxBX5fVg9baQou8r5SP4/Bjp2X1Y4cPN7u+qKU+qVLdqvpNV1U3k7rI14t5bUamH0BeunuQuCPPXeBXnzYAyG5SrJyMnpO2UE5PWCCG48erR6xeIvtbOeZ8WGxfKC/IrnLDo8TtEE6mcKqJsTj+SShccnSf1Pewyb2BXVJcxJ8wjHA4jkYjjoq47UNs8XddrD/W9j79svRPhcJgmuwnCYqw+L4WLVKKeHsvoVu7GzJXt+av5onEGC6Y1yE6Q1Nwjrd+POirOR8mActOEioKJbhatq82N8DFS9lnvK7ftubyTaytxP0/buDvmuNi5s1csmLkLWMy23+kbwqbl83DLjgOybAcQ3gVmVNyX2hH61vEoHtp5WNMkHkAxirAfWnSVn//qcY6eHnluva8cT+x9X1Bn+3ojir+vULs6Ao1YyePHSM/uxGwfbkV/V02ZViW61fKdrKhuImeXrVF6t3JHO6EPXD0pWRD27UsCGMtkcl67KNCIGy9pww1P/LXgc9TYoBw9GTkhbaecmLRG8JEfr0LHIoonWu2CFhuXW+GEvZ4ev0NtZXlOFVEWdtFQaUlJweQ13/ew07yBXaHJbgdR2zwdE1vOtroZBEEYhB3OS2GRStTjzKjo+5WuiLVqZbvSBEnNPYrGGYyk0rht6WyMZTKIJ9Ooq5L//aij4nyE7iHfxJiRZ/YY4WPqfF5sumYejg7EEUmMn0++r3cQ7/QN4a5lcz8ZdIBtz+Xl+p5oIoWRVBp73xsoKF1l984eoT9ivveuZXPRnBe3qivK8PrRwQLbYd/DZz9GaJJb0qyuqhx3LZuDnnAcI6l0zo7Qhzrb8aMXD2v+bIpRhN3Qoqv8/FevmKw1z5XyR1ds3sX7vtePDiISTwmWOeRrV2V5KTY++1ZBDCQ9uxOzfbgV/V21Oznl6lbqO/WfStqq1KjUItz+U0lD9W5Vv5/QB66e5C4IC8cYdD3+14IdjQc+jGIklcb50xpkTfJoJRpnMJbJ4NHrF6CkpAT7egdzzufV2t+zW05MWiPyyY9XW3f3YHNnO4Dc0tp2zvvy+7o/uPYcxEZGdT3vm83/9fwdhGJvnEnjydd68YDM72GneQO74pjJ7sHBQaxZswbPPvssAOCqq67CQw89hPr6esH3rFy5Ek888UTOYxdddBH+/Oc/G9lUgiAIVdjpbGapRF2o7DdLZbkn5wxiuQPmVgRlJZ0ApfdIrLyMku9KHRXnk38PvWWleOHgRwUTY1JnAWtZbW6EjzkeSWDdUwdybHxRmx+bls9DM6eEkhx9W3XuELdtxyMJ/PTlIzTITwCQ9r35dl1dUYb/zqsWImY/Qppkzz9MjqYVxVK+mLOozY/rF07Hd//rbzl2refCGopRhJ3QEuvy8189Y7LWPFdIZ+8PDPPm5exOkduePoBdeQOY3DKHfO164NpzSM9FhJk+3Ir+rpadnHJ0K/Wdek/Gs8cVAepLjeqVJwv18xe1+XH3srlo8JWbsuCcfIoz4epJbi45NJLi3dEIjMeqZ74dRGlJiWr/I0cbUufzLpjWoEt/z245MWmN4JIfr+JMOqe09oTKcjRWe22b94mNr85oqpF9Ham8YHqjDy+tXaLr7yC1cHVybSUm14pfIxpncDJuj3PW7YxjJru/8pWv4IMPPsD//M//AAC++c1v4mtf+xqee+450fd94QtfwGOPPZb92+u1n1gJgiAAe53xA4gn6tE4I7givCPQiOcP9GU7M3Y6O0SoIyS3E6DkHuldXoY6Ks6Hew+P9Md4O/xGlpLS28cI2fiuw2HcsuOAIhvX+9whtQOCdhugIKxHie9l7af/VBLRRAo+rwfVFWXweT28r+fTpNzzD/MR02Mmkyk4e0zvhTUUowi7oDXWcePAWCYjeM5oR6ARleXiOpKDknjFp7OaGP+gl5bzxknPxYdZ99yK/q7RpYWlvlM+avqCcvJkJb6E8l1CLVw9yc0lxTQSZ9IoLSlRNFHFRa42hM7nLS0pwX+vWYR633gbj/THdFlQQloi7AifFrkLUV5au0S1Fo1Gz/FVqbyg2ls2PqlcMv6YXnrWEntZX7dy4XTR19HRew6Z7D506BD+53/+B3/+859x0UUXAQB+/vOf4+KLL8Y777yDs88WLu1dUVGBM844w5R29vb2IhzmLyWghUOHDul+TUIcI35zuo+EFHY644dFKFEXWpXGd86fXc4OEeoI3b9iPnxej6zBASX3iMrLEGII2dLW3T3YuvICeEpKdC9/preP0cvGo3EGL797AisXTkfnhS3ZUuhbd/eo8h1aJ85pgILIR8kA8jCTxl3Pvy3L/vg0qXaCSkyPu7sHcONnAzmT3f2nkoKTeFS2n3AyesQ6bhzYtHwe1j21H7s5mgx+ku9ufPYtPHDtOapjBjdesRUdFp7VCG9ZKRqqvbIG2oW+rx7njROE3ljR3zW6tHBNZZlgPA0GGhE6Fil4XGmeLDXAP8ykFee+lO8SauDqSe4ibSW6V5Jzy538EsuRdx0OY3Qso0pDBOE07DjmLIdonEFfdES38VWxCic3XhLA5Zt35RxvoKcfUBN7ub7unKn1jj1n3SwcMdn96quvoq6uLjvRDQCf+cxnUFdXh71794pOdv/pT39CU1MT6uvrsWTJEvzbv/0bmpqadG9jb28vZs6chUQirvu1WVJJ8VIFhHYS0QEAJfjqV79q2GfQfSSEsNsZP1Lkr0qrLPfg+QN9vOeVWj2oJtQRev3oII6ejOPHO7uxq1u6Y6PkHtmpLD1hP4RsacG0Bkyf6DNkt4XePkYvGx+Mp/D8/uM5CTu3rJwS36F3RQWCULJ4Qqn98WlS7QSVlB4ryz14ae2SHJ+y5NOTHJNzEIRc9I51THoM57Y0YBXnnNHQsUg231Wb33L9hdqKDmLfVwrKQwkrsKq/a9RO5uORBG5/5iCuXzgdY5lMTi7LHiPCXQTORa4G5ZwJnr/Ijn2Ocl/CCFg9DQwzWN5+JjY++5bomdtyda90wbLchddSOXI0kcLG594iDRGux2ljzsBpv9B5YYvo65Tmtfl5QXVFGV4/Ooiux/+aM55tBz/A9XVOPGfdbBwx2f3RRx/xTlA3NTXho48+Enzf5ZdfjmuvvRbTpk1DT08PNmzYgEsvvRRvvPEGKioqeN+TTCaRTCazfw8NDclqYzgcRiIRx0Vdd6C2ebqs98il78CrOPjsIxgdHdX1ukQhqfgpABmc+5WbMal1pq7XpvtoLGq1azecVlKMuyot1DsoOEAPWDuoJtQR6upoxUM7DyvaQSf3HulZps+qs4zNwC3aVYOc84DN/kwl6GHj0TiDDU8fKNBgqDeCK+eN4BddF2JgmAFOxGTZPVVUMIdi0a3SyetIPMVboSDOpAXtL1+TqbGMaJuEYqmUHuuqygvK0tX54Kicg9BOsWhXz1gXTaQMyW+58UpLyXGA//uOZYR9ic/rQYPPq0u5VsIc3KRdq/q7eu9k5uYIe48MZM88TY6Oob6qHFPqK3HF5t05g+ZsBYf2qfVIjWVwREZ+K2eijnJf++Im7XLh6mmLDD1L6V7NgmW5C6+Fjg1itZgey2BVsBXnTK3P5u3czycNFR9u1S3grDFnrl+QW75b7fFAR/pjWP/UAd7XWe0HuL4u/5z15OgYpjf6cGZ9lS3voRVYOtm9ceNG3HnnnaKv+etf/woAKCkpKXguk8nwPs7ypS99Kfv/c+fOxYIFCzBt2jT89re/xTXXXMP7nk2bNkm2SYza5umY2CK801wNQ33v63o9Qpqapha6jw5Dq3bthFNLitntzHEuQh0htTvo5NwjsZJ2SsrL6H2Wsd1wk3bVYIXe9fpMPcpghWMMduUN7nN3uN2y42DONaXsXo/d5m5eXKIXxaJbJYsnjkcSuO3pAzn2zK1QEGfSGIwzCPUOFthVfkdbDKFYqlaPTs05CHUUi3YB/WzbqPyWG6/0LDmeAYCS8Xbz+QSf14OtKy/AbU8flFXViLAHbtOuG2IPN0fgnnnK8vJ3P4sF0xqyGlRbwUHKB/m8HtHn1SzIoVxYP9ymXT7k6lnsdWoWLMuNz/k5spAW8/N2Fr02bZCunIPbdeuUGMz1C3KOTRAaO713+Tww6TFEE8Las3Nlznxfl59zvLR2iSPup1mUWvnhq1evxqFDh0T/zZ07F2eccQY+/vjjgvefOHECkydPlv15zc3NmDZtGg4fPiz4mvXr1yMajWb/HTt2TNV3IwjCXEi71sN2Iviw+uwQoY5QcnRM9H1qE5rjkQRu3XEA1y+cjmCgMec5JeVlpFY4R+POPxaBtOtc2DJY+bpXYuN8nQqpHW5idq91UuJ4JIHV20K47IcvY/nDe3HZv7+Mm7aFcDySEH1fsVEsupXb6c366jyb3dM9gMf29KCro3X8dYmUpF2pjaV66JFwP8WiXT0xKr/lxiut+Shf7LptxwHcc/XcgrZvWDq74PgewF25pRsh7doP6R3XTE5cVpvfSvmgaq/4HialC3IoF9YX0q481Ew0yY3P+TmykBbz83YWPTZtkK6cBenWHnD9wtbdPVgVbBUcXwUgPHb61H48FfpQVHt23rxl57F2O2Lpzm6/3w+/n/9mcbn44osRjUbx2muv4cILLwQA/OUvf0E0GsXChQtlf97AwACOHTuG5uZmwddUVFQIljgnCMK+kHatx87nvwjteKsoE1/zpSahkSppN6OpBpNrK2VdqxhKMpN2nY3WMlh8nQotO9y07Dan877lUyy6ldvpFfPVe7oH0PVJxzx0LJJ9XMk53oC8WOqksnSENRSLdvXEqPyWG6+05KNCsevFQ/0AgB9cew5iI6M55c3tWqaREIa0az+kcoTqivKcuJwcLdz9zSJVUUzMB/m8Hs2VllgoF9Yf0q481Ew0KYnPcrXI5u3ca2mdSCJdOQ/SrT3g+gW+8t1n+avRXFeJuk+O5hHqj+/uHsAqjq75tKdH1UKjsPNYux1xxJnds2bNwhe+8AV84xvfwM9+9jMAwDe/+U0sXboUZ599utT0zJkzsWnTJixfvhyxWAwbN27EihUr0NzcjPfffx+33HIL/H4/li9fbtVXIQiCcDV2HWgXSg76TyV1KTXORaqk3Utrl2Byrbxr2bmUDkGwaCmDxdep0LLDTUtHoBgWlxDKkNvplfLVALAq2Io120I5j8k9x1tJLHVKWTqCcBJG5LfceCWnNKMQYrHrxUP9WHf5KGY01WQfC/UOiraLckuCkIfcHIGNy1q0J+WD9BoEp1yYsAq1E01K4rNcLbJ9Ub0mkkhXBKGOfL/AHV9d3ObPmayW6o/njzHla8/uE8p2HWu3I46Y7AaAX/3qV1izZg0+//nPAwCuuuoqbNmyJec177zzDqLRKADA4/HgwIED+MUvfoFIJILm5mZccsklePLJJzFhwgTT208QBFEs2HWgXSg5WPLpSbomNHpOUNu5lA5B6AFfp0JrxQW1HQFaXELkI7fTK+Wr66rK8c9bX8s5/49FyK7sGksJolgxQpNsvBoYZrC8/UxsfPatgnMGpfJRpbGLckuC0AelA+NatSfmg/QaBKdcmLAKLRNNSuOzlBanN/rw0toluk0kka4IQh1K/IKUrvnGmPK1Z/cJZRofkIdjJrsnTpyIX/7yl6KvyWQy2f+vqqrC7373O6ObRRAEQTgIvuSgzgddExo9BxHtXEqHIPQiv1PR4NNu92o6AjQBQPAhp9Mr5qsXtfnxp3dP8E50A2RXBFHscOPVFhX5qNLYRbklQeiHkoFxo7WnxyA45cKElZg10SSlxTPrq3T9TNIVQahHrl8Q03X+cWIsQscj0ISysxHfOkMQBEEQAkTjDI70xxDqHcSREzFE44zVTVJNnc+LGU01OLelATOaajQlN2ySxYfSgQx2JWP+9exSSodwF1ZqmqvBaf5qS+xeT+0S7kIqRoj56k3L5+GdviHe6zrZrtyUAxCEXexZTT6qNHZRbkkQ+iJXt2q1Z6Z/olyYsBqunvw1XoRjjO62b3YcJF0RhDbkxFkhXXcEGrEq2Iqtu3tyHift8WOXPpEWHLOzmyAIgjCWaJxBOMZgaCSF2qpy+KuFV7QdjyRw8/b9BaUW71sxH1Pqq8xqsi3R+6wXu5fSIdyBFZoW8zlW2L3dz2ki7I2Yzd65bC6So+6xKytzACW5CkGwiNmN03NaNbGLckuCsAal2jPbP9klF6ZYTxht+3rHQTGbtYuuCMLt8Om6srwUG599K6fKmtu0p1fMdHqfiIUmuwmCIAhFQS0aZwpeCwCvHA5j3fb9eKiz3TVJg1r07jxRKR3CSKzQtByfY4Xd0wQAoQUhm3WTXVmZA7ilA06Yi5jdVHs9rshp1fgYyi0Jwhrkas+qeGt1zkKxnjDL9vWKg3Js1mpdEUSxwKfrB649x7Xa0ytmummcnya7CQDAoUOHbH09giCMQ2lQC8eYgtdy3xOOMY4JgkZCg4iEUzBb03ZPpEm7hBG4xa6sygHs7jcIeyJlN3cvm+uanNYtPoYgiHGs7HNb5U8o1hOAs8ablNgsxWmCsAa3ak/PmOkkvysFTXYXOYnoAIASfPWrXzXk+qmk82r7E0SxoTSoDY2kRK93SuJ5giDshdmadlMiTRDFhlU5APkNQg1SdjPMjIq+n3JagiCsohj73BTrCcBZtk82SxCEVejpf5zkd6Wgye4iJxU/BSCDc79yMya1ztTtun0HXsXBZx/B6Kj4AAJBENYjFdQGhhngRCx77kdtZbno6ydIPE8QhL3QQ9NKzglyUyJNEMWGnjkA+Q3CaKTsJs6k4fN6cs7x40I5LUEQVmHHPrfRZ2lTrCcAa21fqY2TzRKENRgdj5yAnv7HjjmHWmiymwAA1DS1YGLL2bpdb6jvfd2uRRCEsUgFtVMjKfzTz17Nnvvhr/FicZsfr/CsIFvc5oe/RnuCQYkLUcyYbf9aNa30nCA3JdIE4WTU+Bq9cgDyG4QZSNkNMzqGrSsvQNfjfy2Y8JZrz5SzEoTzcIJuzehzK8GMs7Qp1jsfPbRlle2rsXGyWaJYsTKOmhGPnICe/sduOYcWaLKbIAiiyBELasFAI0LHIgByz/24b8V8rNu+P+c9i9v8uH/FfM0JjtmJixMGO4jiwYrEvc7nxf0r5uNP755A04QKJEfHUFnuwcdDI7jk05NE9aDmnCA3JdKEcyBfn4taX1Pn82rOAchvEGYhlePufW8AfzsWwYals7H+qQPZ5+Tas1odkT8iihG72L1TBsn1iLd6YdZZ2hTrnQer61gyhboqLzY8fRC7urVpywrbV2vjZLNEMWLlmG1NRRlePzqIN44O5rxG73jkBPT0P3bKObRCk90EQRBFjlBQCwYasSrYijXbQtnH2HM/ZjTV4KHOdoRjDE6NpDChshz+Gu0DFmZ1pFmcMthBFAdm2z+XDIAX9vcVDE4s+fQk0fepOSfITYk04QzI1+ei1ddMqa/SlAOQ3yDMgrWbfHvn5rhxJo3bl87GS2uXKLJntToif0QUI3axeytzbTVojbd6Yda5xBTrnQVX16svDSDUO4g93QM5r1GrLbNtX62Nk80SxYYdxmyDgUZs7mzP5vHcNugVj5yA3v7HLjmHVmiymyAIgsgJagPD44EtdCxSkDwAp8/9qPPpH/TM6kgDzhvsINyPmfbPJauFbuVaUHtOkFsSacL+kK8vRA9foyUHIL9BmMmU+ipsWDobx07GkRwdQ0VZaUGOO5wcxbktDYquq0ZH5I+IYsROdm9Vrq0FI/rcSjHzXGKK9c4gX9ftU+uxZWc372vVastM29di42SzRDFhhzFbdlFNV0drgd/RMx45Ab39jx1yDq3QZDdBEAQBgBPU+mP4p5+9Kvg6pecOKSlZZ2ZHuv9U0nGDHYS7MdP+uWjpsGg5J0jPRFppaUy7lNIkjEfKvj+MJBAeZlxtA/n2Hk0woq83epDALn6DKB48JSW44YnXBZ/Ptzk5MUJpzI7GGfRFRyj3JIoOO00wW5VrK8VuearZ5xJTrLc/+bpOjo6Jvt4MbWnRjVwbF/oMslmiWDAzjorlD3u6B9AVbC14XGs8sir+avlc8j+50GQ3QRAEkYOe534oLVlnVkf6eCSB3pNx0dfYZbCDKB7MHkhi0dJhscM5ZUr9jF1KaRLmIGXf7w/EceOv9rnWBvjs/ddfv0j0PUb5GhY7+A2iuFBic3JjhJKYzV6z88IW0fdQ7km4ETtNMFuVayvBjnmqmA/tCDSisrzUglYRVpKv64oycRswWltadSMnT7CjNgnCbMyMo1L5Q/4iG639SKs0Tr5FXygjIQiCIHJgz/1Y3ObPeXxxmx/3Lp+HgWEGod5BHDkRQzQuvDtMqmQd33vZTgYfYolLNM7gSH9MUbuksMNgB1FcqLX/fJToARjvsPi8Hqy+NIBHr1+Ah687D1tXXoDVlwbg83okd1kK+QszzilT6mfU+CXC2Yh1yH1eDz7VUIVHr1+AL1/YgqMDw/h4aMTE1hmLkL3vfW8AHYFG3vcsavOjzFNiqBas9htEcRGNjx/Rc8dVc7BIwuaUxAixmM3VEfeaVk8GEIQV5Mfh/Jyz0usxLf/Skmsrza/VYNc8tc7nxb3L5xXkDsFAI1YGW7Hx2bcohy4SonEGR8PDqCz35PQZD3wYRVAgtzR6IaMeupHKTQHYUpsEYTZmxlGhfjybR0ydWJX1Q5uumYfva+hHWhV/7Rr3nQzt7CYIgiAK4Dv3o7K8FHc8+xb+cKg/+zqx1WZSJev6oiN4LzxcUP7pvhXzsW77/pxVtWID4EpXwbHtOmdqPYKBxux5L1xoZxlhBWrsPx81q0L9NV5sXXkBHtp5OOfMo2CgEVtXXiCpBSvPKVNaGlPtGat2KiVJnEbOvRHaqeHzevDo9Qvw/f/5O3Zz4sCiT/TmhlXUQva+dXcPNne2o6SkJOf5YKAR1y+cjsv/7y4smNZg6GpyOt+QMANuTPR5PejqaMW/LJmBivJS1Fd5C2xOSYwQitn5Orpr2Vy8cXQQABA6FqHckyg6uHHY5/Vgc2c7HtvTk5NzmrWDSW2ubdauKzX9Z7Ng0mM4t6UBq4KtSI6OoaKsFKFjEazZFkKcSdMxDEVAXySBoyfjeGjn4Zw4Fgw04usdZ2H+p+oAIOc5oxYycvsAVV6PLkcliOWmR/pjtjmOgSCsxMw4ytePF8sjlnx6kurvZdWRK3Y66sVsjBpno8lugiAIghfuuR/ROIPV20KCq80e6mxXfJbhe+Fh3PirfQBykxwlA+BSq+DE2sUO9gO5HbJFtLOMsBAtE0Bq9MDy453dBYPve7oHUFpSgi2f6EQMq84JUloaU+nrqaSUfZF7b4Q65LddOQsP/7E7Z6IbAHbJ0ItTELL3OJPGmm0hPPPtIABkj/XgDlrL8RtaofPFCCPJj4lxJo0tO7uxZWc3Frf5VeWukbzz7tmY3X8qKaijDc8cRFdHK7bs7BbMPamqAeFmuHF4/tR6PLanpyDnNCPmsCjNtbXk10pR2382g2gilTOxkA8dw+BuonEGf3r3BJ7ff5y3zwgAF7ZOxNL5U3D70tlIMGnDFjLm9wEevu480dcrsU2h3NROxzEQhNWYFUf5+vFdHa2G5BFWabxYfYuR42w02U0QBEFIoma1mdRZLtxSjvmJidwBcC3tYgf7uzpa0cVZoR6YVINmgeBKOzwJM1A7AaR2VWg4xmBXN//7dtlkNamQ9pSeGaXk9WYObhLKUHpvuB3yk3EGQ4kU6qrKccuOg7zXd8sqajF7jzNplJaUAABueOJ13te45XcgihMjctdkagzReO776nxehGOMoI52HQ5j5cLpAPhzz7P81Wiuq8xZYEq5JuE22DjcFx0RnDA1M+YoybXN3HWlpf9sNE4475wwjnCMQdOECt7KJMD4hPeGK2fnxDOlyIl/fH0AM44IIfsniFzkxFFW08nRtOo4mj+xXlnuMSSPsErjxehbjB5no8lugiAIQhI1q82ESscC46WuQsciOY+pSUy0tovd5cPC7vThg3Z4EnZH7apQu68mFdOemJ/hKwmr5PXFXFLK7qi5N3U+L4aZNLrfj+H5/cdx3UXTRD/DarvXAzn2/l54WPQabvgdiOJEbY64qM3P61+CgUbsfW8Ak2sLB/KlPosLN/fM32FOuSbhZup8zow5ZubJZvSfjWgbHcPgfoZGUkiOjom+ZiSVVm2LcuMfXx/AjCNCyP4JQhlcTWutvsCdWA/1Dmq6lhBWabwYfYvR42ziy58IgiAIAupWm7ElZxa3+XMeDwYasSrYiq27ewreozQx0bNdYiUkpVaeReNMwXsIwmzUrgq182pSKe0BUKRnJfq3+yKAYkbNvWFt6e7n38aqYCvqquxr93ohx97trH+C0ILaHHHjVXMQDDTmPM7NXfn8i9RnfaqhSjLuUK5JFANOjDk1FeJ7hKolnleCGf1nvdtGxzAUB7WV5YbtoFYS//j6AFt392BVsLUgdutpm2T/BCGffE3r6TuMyiOs0ngx+hajx9kcs7P73/7t3/Db3/4Wb775JrxeLyKRiOR7MpkM7rzzTjzyyCMYHBzERRddhB//+MeYM2eO8Q0mCILQCTuUM1S72oyv5MzzB/qyZxnmoyQxicYZlJWWCO7AUdIuqTNmaIcn4QTU6tTq1aRiPk6O9mY01SjSs1z911WVY/WlAbRPrUdydAyV5R7s6x3E1t09iH9yDh1hDWo6ueEYgzeODqKroxVlJSWYNKFCVfywC3JzAyl7t1r/fNgh7yHshRqbUGvbJQDaWxpyjrjhnsPN+pdonEEknsIwM4pSiXz0jNpKybhDuSZRDNgx5nDh8zUVnlLBXaPBQCO8Hn33EIn1nwEU5KYNJvoFpX1oLVAuYC/8NV689v5JWTuold47JfGPrw/APSJkw5WzMZJKo7qiDF5PKfpPjSCeSutiP/n2X1tVjuqKMsRGRhHqHSQ7JYqWfM2XlZTgjaOnd2DrWX1BSx4h5ZvUxjit8crM2GoHjF746JjJboZhcO211+Liiy/Go48+Kus93//+9/HDH/4Qjz/+OD796U/jnnvuwec+9zm88847mDBhgsEtJgiC0I5dyhmyq83Wbd+fk1TIWW3GLTkTjTPYfyzCO9HNl5gIJQ3s7/LG0UFs+Uo7kEHOmcPBQCNuvCSAOJNGnU+6XVLQDk/CCajVaZ3Pi3uunotbdhzAbk4HpCPQiHuunmtoks3n4xa1+bFp+Tx8aqJPtvbE9CzkR6S+l9dTilDvYM5RB8FAIzZ3tuPJ13otH5AtZtR0cmPJFDZ3tuOxPT3YsrMbPq8Hmzvbkclkcuxer1XURg7SCuUGdy2bi2iCQU1l7ueJ2buW+G4Edsl7CPug1iaU2jar2XQmg78di2Dr7h50dbSifWo9ZjfXYstXzsPHQyPw13jRF0ng6Mk4Htp5GHu6B2T7EzE9Ua5JFAN2izlchHzNxqvm4OsdZwFAzkA9u9s6mmAAVMv6DLm5AV//GUBOHsNto5kxsqAKUknh41qhXMB+1Pm8+OynJ6HVP27rXC0s4uhX7N5Vez289q8k/gn1AeJMGvuPRfCNjlYMM2nD7IerzQ9OxvHd/3wTu/LiPtkpUUwIjeds7mzPLhTdursHmz85LnKPxn632jzieCSBm3+zP2fcmE+v+f3maJzBkf6YYNzWK14pGZ92OkYvfHTMZPedd94JAHj88cdlvT6TyeDBBx/ErbfeimuuuQYA8MQTT2Dy5Mn49a9/jf/9v/+3UU0lCILQhWicwe3PHMQ5U+uxcuH0nJ2FdzxzEA9ce46pwVCP1WZKJtWEkoZN18zDuqcOZB8/8GEUl887AyuD03N24HQ9/lcsmNaQcxaiWpxYco8oTtToNBpncNfzb+PclgasytvJdvfzbxvma4RK1u06HMa6p/bj/hXzFWmPbwAxzqTxPRWdj2icwfodBwpWH+/pHkAJYPmAbLGjppNbX+XF93/3TvaecneB/MtnA6goK0WDz6vLKmojB2nFSj3e+vQBtLc0YMvObkWfZ9UqdiXfbd32/brEc8I5ROMM+k8l0XsyjlXBVpwztT5bWUOuTci1ba5mfV4PfvyV83DjZ2dgyx+7cyaVFrX5s4Mzz+8/zutPbvxsAJXlHtRVKcuTKdckigU77mASiz93PPsWzp/WIFjx4bnVHbI+Q+vCnZffPYHH9vQU5KZmx0ijJ6I/HhrB++FhdF7YglXB1mxVJcoFrKe5vgo+rwf3Xj0Pw8zo+MaCqnI0TahAnc8rqqObt+/HFfOasf6pA9nHWbtREv+k+gAADMkl83PeirJS3P7swZyJbj0+hyCchNh4zlgmg66OVmzZ2Z2TJ3d9cpyYln630jwiGmcKJrqB077pnmVzcTLOFPRnpeId9V3VYfTCR8dMdiulp6cHH330ET7/+c9nH6uoqMCSJUuwd+9emuwmCEJ39B70HRhm8OULWwpWb7OryAeGzS9nqHW1mdxJNbGk4ehAPOfxuVPqcMMTr/N+nl5lH+1eco8guCjVaTjG4A+H+vGHQ/2Czxvha8RK1u3uHsDRgThmNNUIau9zs5pQU1mGI/0xDMYZpNJj2HNkIDsZsrjNjxsvCeSU0ALkdT6k2jaSGlP4bQlA3ziptJPLpMcKBojjTBpbdo5PZr34ncWY0VSjqi1cjO70itnmnu4BdAVbVX2eUr9hxGA3lXF2N0r0z2dfbGUNdpeIXJuQsu18zcaZNP72QQSvv3+ywGfs+iQPbZpQIepPXlq7RLE/oVyTKCbstoNJLP7sOhzGui/MxNGTcZSUlODtvqGcXFOONrXmBlPqq7BgWkPORGH+dcyIkUbnOOM77/6WM4HI9f2UC+iP0txcTLtSOlq5cHrOY6zd/ODacxTFP7E+wJH+mO65JO/O1YAf1wen48/vnSyoWkh2ShQLcvulwOk8eXGbX5dJYCV5RP+pZMFEN8uuw2F0n4hlx5S5lSik4p3cvisdy1GIkQsfXTvZ/dFHHwEAJk+enPP45MmTcfToUcH3JZNJJJPJ7N9DQ0PGNJAgdObQoUOOuKZRWK1dIwZ9R8cyvKu32b83fnGO+gZbhNxJNbGkIZLILXOVHBWfdNKj7KOdS+45Hau1S1hXOlXqcyOJFIaTo7za+9ysJmxYOhvf/a+/CU6GvHI4jDRnRTEXqUEIKicrjhrdGhEnlXRyY8lR0eeHJZ6Xi9ETtlK2yY2JRg22GTXYTbozHqtirhL9C9kXm/9yfboeNsGn2Xln1uHBPxzmfX1+HsqHmnZRrkmIQfmysUjFn6Mn47jxV/sA5B5pc9cyecf96JEbSOUxZsRII3OcrO8XGPtgfb/TcgE7a1fv3FxJjsryyuGwYH9PLP4J9QH0ziUFd652hzEG/n6mms8h7IWddWsnpPSWj1U5rVTunt9/Xrd9P+5eNlcy3kl9/+Fkio7lEMGohY+WTnZv3LgxW55ciL/+9a9YsGCB6s8oKSnJ+TuTyRQ8xmXTpk2SbSIIO5GIDgAowVe/+lXDPiOVZAy7tl5YqV2jBn3HxjIFE90se7oHkB7LqGpvPmauMpPb+RB7XUVZqejf+ehV9tGOJffcAMVd67GqdGpdVTlWXxpA+9T6nGMa2N0yFWWlGEqkcNakmgLt1VSWFUx0A4UDYvkrirmIDUJQOVlxlOrWDiW+zLqnRk/YSn2P/Jio5PPk5gNGDXaT7ozHipirVP9C9uXzetDe0oB/nDMZs5trUVnuQYMOfoNPs2ILKaXyTkC9rVKuSQhB+bKxKImte7oHUFpSggeuPQeTaytlXV+P3MDMGCmUDxiZ48jdIei0XMCu2jUiN1eao7II9ffUxD++Nvi8HnR1tKJ9aj1SYxkcORGTPealZOcqF6fZKZGLXXVrN6Q03zLRh5fWLrE8p632ekSfz/dNrxwOY5iRXmAm9f3rqryWj4EUI5ZOdq9evRpf/vKXRV8zffp0Vdc+44wzAIzv8G5ubs4+3t/fX7Dbm8v69euxdu3a7N9DQ0OYOnWqqjYQhBmk4qcAZHDuV27GpNaZul6778CrOPjsIxgd1We3k5FYqV2jBn3jEsE1v1wSF7kD1mauMovGGVSVe/DwdecVTGqxsJ0CsaQhdCyCRW3+bJtDxyIIBhp5FwboXfbRbiX33ADFXWuJxhmUlZbkaIqLkaVTvZ5ShHoHC45p2NzZjl//5ShCxyJYfu6ZAAq1J1aiLn/gQWjSQmgQwsrfxCko1a0ecVLrwiyzSgQbPRgt9j2CgUaEjkVEP0/od1SSDxg12E1lnI3HipirVP989uXzerC5s73gaB+lOSuv/VcValJsQjt0LIIz66sMyz0p1yT4oHzZWJTG1l2Hw4iNjGJyrbz8RCw38HnHF+4c6Y+JXsOsGCmWD/D5Sy5achw5u4KdmAvYVbtKYrPcHFypjthJ6MpyD0K9g+PXrvFqOlYovw1a8wc1u9UXOdBOiVzsqlu7IRWXmiZUmJbT8vkpYNzXeUTGdhYF/DjwYbTgcbHxdgDZyXux78+kx+iILguwdLLb7/fD7/cbcu3W1lacccYZePHFF9He3g4AYBgGL7/8Mu6//37B91VUVKCiosKQNhGEkdQ0tWBiy9m6XnOo731dr2ckVmrXqEHfuiqJMwgFOptyB6zN3Gkn5+xFbudVLGl4p28Im5bPwy07DuCVw2Fs3d2DzZ3tKMH4Wbrc70xlH+0PxV3rYHX5xtFBbO5sx1gmt5qEkRqKxhms33GA95iGEgDf+8JMPPTSYfg7+FfLKxl44Ju0EBoss/I3cRJKdas1TuqxMMusEsFGD0YLfY9goBGrgq1Ysy0k+HlCv+Oma+Zh3VMHZOcDRk3oUxln47Ei5irVP599dXW08h7toyRnFbL/e5fPw+dmNeFFzhE7Ygsp3+kbQueCqWj1VwNAzmsWka0SBkH5srEoia0sp0bklycVyg18Xg+2rrwAtz19MOc8Ub5rmBEjpcYHlJ6trASp3KK+qtyR/tWu2pUbm5Xk4GI2euMlAXQ9/tfsY3otYssnvw1a8wfpnZu5z3cEGrFp+TzH2SmRi111azfs0nfL91NsbP3xzm7s6g7jO59rw42fnVEwthMMNOLGSwJ47f3CfL+uqlwy3kl9/4+GRkTbTccdGINjzuzu7e3FyZMn0dvbi3Q6jTfffBMAEAgEUFMzvupr5syZ2LRpE5YvX46SkhL867/+K+699160tbWhra0N9957L3w+H77yla9Y+E0IgnAbRg36qhkwVzKBbfS5olJt4pYb3n8skpMMiSUNdy2bi+a8Mo+1VeX49386F7GRUctL5BCEE8jX5ZptIXR1tGZ3RLdM9Bm6ElfM/+zuHsC3k6Oi5yDKLZO3qM2P/lPJnOeEOl9W/yZuRkuc1HNhlhklgs3o9Od/jyqvB/t6I9nFY3yfJ/Y7Hh2IK8oHjJzQpzLO7kOp/vnsq31qPe+ZmIC8nFXM/m/ZcQCbrpmH5OhY9jO37u7B1pUXoLSkpGCAn81DayrLcO/V8zDMjCLOpFFXVU4xgiAcTH78qSz34PkDfTmxlUt1RZns/EQoN9iwdHZ2MF7qGnxt1DtGSo0PxEaUn60sF7HcYlGbHzOa/n/2/j0+zrrO+8dfySSTZJLm0BlSCjZtYKLQE4StsDZJgaLeihWo/Ni1uve2BPb+uli6u/15C1ULBZHD6rp7t4i3rhS4fw/t13sXKILuukoVelARiLaFKk0bmmoradJk0mSSXJnJ/P5or2EO1/l8XfN6Ph48HjQzc81nrut9/Bze7zrNZeOJOlp8s5EYXE5Gk0Iay+Y3ZZ+vFZvY5Mgdw1QqbSp+UJLLzngUk9NpPL52GaZSM2isqcT8aAQXNkUMjZsQP+J27iZlp7o7W7Ft1+GsfVl8QQNue+rV7NzOVGoGVRXl6Dk+gtue+jW2rWnPu6Z4Kl2Lv1P6/VpOhxPr8c1i9z333IOnnnoq+2/xtPbPfvYzXHPNNQCA3//+90gk3i098PnPfx4TExO44447MDw8jKuuugr/9V//hVmzZjk6dkJIsLFr0tfIhLmeBWyzJ+2s6O25t3cImz+2EH/T2ao5UcqdNCj8zJx6xSETQs5RqJdJIX8i4MWNV1uWoEjZCjX7U1URwlyFHf1ayuSJtjISDuHKBbNVky8n70mpYcZPWr0xy2yJYC2+z6lF9dzrnV9frSjnSvdxZEJfPGD3gj7LOAcLvfovylfuxJVSD20ASExMK5YAVrMjk9Mzkjr7qM44lBDib3J1Op3J4LfHRyQnq1e0xRAOleuKT6Rig5lMBpueOaD5GuIY7bI9WuYHLm62prdyIWqxBRe6rUWLbzYag0vJaEMERZtJzCxCqyGOoad/WPF9anNeSnL54OolENIzGJ3g5kxS2rgZE0vZqcJNslOpmaK5nVxy84zcfLbQbsnpudzvZ4sud/DNYveTTz6JJ598UvE9mUwm799lZWXYsmULtmzZYt/ACCElj5lJX7VJc70T5noWsM2ctLOyt+fkdFr293AikRB7sKv9QiFytuKLH7tU8XNqPQHl7G5XWwz33bAIAPI20WixI07dk1LEjJ/00nPRW8rRSf+l9n1K91GpPzEgHQ+I8cnQuID0TAbpmQySQgrJ6TQSSfYfI++iZK/vv3Gx5GcuaKzB5lULcfx0ElOpGcybrVzOdHI6jU98c1/234V6qXUBR27SnhBSGuT6ebHMciaTkWyVNXBGf3nSQl9tdiHOarTODxT+jkRSUO05rgW3TwiWElpi88MDY4rX0CufuXLjlOyryXRev3AZuaVcEuJdpGJ8cfE6Eg6hu7NVNY+4KFaLnXcsl9RtMzm9V8q8lxq+WewmhBAvYyQA1jpprse56lnANrrLTG85K7vKvBNCjOOEXsrZilePDWMmc7b02x6Jfqhad7laPfFAW2UvRp+XV56LleXU3UDpPvYcH0FXW0zy9I6SPjZEwhgX0qb7qZPgI+r/n0Yn8YfhCQBn5e76rbuxbH6TpLyEyspw21OvAgDWr4zL9tDujEex76hyGVSv2BFCiHcp9PNJIZ1taXPHNXFUV4bQUGNteVKv2SYj8wN6NgJqgZvdnUMpNk8kBQgqVVXMyKdTsq9WhvyFAyezpz2V5JZySYg3kbIlVRXl2Q1rT+ztAwDZPGJFWwxzG6pt029ulnEe5W38hBBCNNMQCePi5jpc3tIkezpERG3SPJEUDI1BDOalKExQxV1mhe9X22WmpZyV0TERQpzBCb2UsxXdna346o9/h3UdreiIR/Ne64xH8eDqJZqDfz12Vw3aKvsx8ry88lz0+j6voXQff39yFA+tXqI7HrArliHB5YEfHsJtT72K2556FY/u6kVSSMvKS67Mbt/Th1slfEZXWwzrOlqxfU9f0Xfl6qVX7AghxLtI+Xmx7OmnvvMrNNRU5sUuVtgVr9kmvfMDjAP8j1xsPjgmYN/RoSK/K9JlUj6dkn05me6MR4viB8otIf5Dypb0HB/Blz52KZ7Y24e9vUOyeYRTJ6ytnLMi6vBkNyGEuIDVPUhF9JZJMbLLTG9JWZZuIcR7OKGXcrZC7KH0y6On0d3Ziu6OVkylZlBVUY6e4yMQ0sqnCOyCtsqbeOW5eKmcuhGU7uP9Ny7GXAPxgF2xDAkmeuWlUGbFE5afvSaOqspyNNaEkc5kcNM39sqesBT10it2hBDiXdzIcb1om/TMDzAOCC6jk9PYvqcPW9e0A0DeiciOeBT33bDIdE9tp2S/UKarK0N44cBJbNjRUxQ/UG4J8RdStmT7nj782//zAXzh2YMA8iu1iHNPF8VqbT3RTdyDi92EEOICdk6a613A1luSyUjJKZZuIcR72K2XcrZC7KEknpYp5IOXNFvy/UagrfImXnguXis1agS1+6g3HvD7BgDiLEbkRU1mjwyMKZYSztVLL9gRQoh3cSvH9aJt0hoPMA4ILvXVlZILROLmZCtwUvYL+4VL5aAilFtC/IXUhpZTY1N57ymce9p5x3LmAAGFi92EEOICdVXK5tfspLmdPYWM9vpmnyNCvEsGAMqsvaacraiqUO6i4/aiIW2VN3H7uRj1fV7DyvsYhA0AXiaRFDA4JmB0chr1NZWI1frXNiWSAmoqQ4rvkZMXJZnVq5du2xFCiHdxM8f1g22S8kmMA4JLrj4ULgyvaIvhbzpbLfkeO2RfLX6i3BISPERbkkgKGDgzhcYI9bxUYc9uQghxmBMjE3j12LBs/yOvT5ob7fVNCPEWJ0YmsH5HD677+ktY/dg+XPdPL+HOHT04MTJhyfXlbMXAmSl0eag/ISFaoO8rxmu9RoOE3fbZScTf8sKBk5bHvtRLQohV0J7II+eTqivLGQcEFL/qg5b4ifErIcFE1P8P/fPL+PEb7/h2zp2Ygye7CSHEQRJJAXc9vR+vHRuW7H/k9eRBxIvl1uQI0skoQqxCtEWFffZePjyIu5/ej21r2i3Rk1xbkZiYRiQcQihUhg9cFMU9zx30TH9CQrT4Cj/5PifwYq/RIOCUfXaC3N9iV+zrhF4yliQkWMjpNP18MUo+acsP3sCDq5fgC88eYBwQQLTog5f8o9b4ifErId5Hr20p1P/te/p8PedOjMPFbkIIcZDBMSHrfKX6H8XPq8PcxhqXR6kNP5RbOzEyUZTwrGiL4eGbl+ICn9xnQuwg1xYV8vLhQQyOCZbpd0MkjHEhjS3Pv5H9zkg4hM2rFuKLH7sUE0Kak4nEVfT4Cj/4PifhwoD1OGmf7Sb3t0j1/rwoVou5DdWeLgHMWJKQYKGm0/Tz+Sj5pJ8cGsCm6y9lHBBglPTBa/5RT/zE+JUQ72LEthTqf2He0VBTiaZImHpeArCMOSGEOMjo5HT2/5NCGo/u6sVtT72KO777Om576lUMJwUXRxcs1Hb2JnivSQmTa4ukOKPyuh6kdDEppLHpmQP4yg8PoTVWi4ub65h0EFegrzBPQySMi5vrcHlLE3XZApy0z3ZT+FsKY9/J6bSn5YX2gZBgQZ3Wj5pPGp2YZhxQgnhRl/TGT5RbQryHUdsipf+5eUdFeRn1vETgYjchhDhIfXWl4uuzVF4n2tGys5eQUsVJW0RdJF6G8km8RpBiRb//FtoHQoIFdVo/frfjxB68qEuUVUL8j1HbQv0nIixjTgghDhKrC2NFWyyvN5DIirYYYnXu7TLzUr8lKwjSyShCrNZPJ20RdZF4GcqnMwQtxrATL8eKerHit7gpO7QPhAQLt3Xaj74wSD6JWIeoS5FwCN2drWif14ip1AyqK0N4vX8Y41PO+0fKKiH+R6ufLvSnddUV1H8CgIvdhBDiKA2RMB6+eSnufnp/nhNe0RbDIzcvtSzZ1ZtIe63fkhVwZx8JCnbop1O2CAi+Lvpx4rIU0Ppcgi6fXiCIMYadOGmf7UbPb5HS2aSQxuddlB3aB0KChZs6bbUvdCr+DJJPItZRX12JSDiErWva8cTePjy6qzf7Wkc8iv/PFe8xdF0zck1ZJcT/qPnp+ppKSX/6oUub8cBNi/GlnQcN6T/ndIIDF7sJIcRhLmiswbY17RgcE3BmchqzqisRq7POkepNpNV6omxb0+5LJ8+dvSQI2KmfdtsikSDrIhfxvIme5xJk+fQCQY0x7MYp++wEWn6LnM7ecW0crx0bzruek7JD+0BIsHBLp632hU7Hn0HyScQaYnVhbF61EE/s7cPe3qG81/b2DuGe5w66IteUVUL8jZqfrq2qwOf+7bdF/vQnhwYAAF+95TKMTaZ06T/ndIIFe3YTQogLNETCuLi5Dpe3NOHi5jpLT3QrJdKJZHF/Ey/2W7ICcWfvirZY3t+5s5f4Cbv10y5bVPgdQdRFI/aW2I/e5xJU+fQKQY0xnMAJ++wUSr9FSWe37TqM7s7Wous5JTu0D4QEC7d02kpf6Fb8GSSfRMzTEAnjipbGooVuETflmrJKiH9R89NjkylZf/qTQwMYm0zp0n/O6QQPnuwmhJAAoSWRLnT2bvcusxPu7CV+x6h+eq0MUxB10Yi9JdYhJ+NGnksQ5dMrBDnGINagpLN7e4fQ3VG82A04Jzu0D6SU8Fr8aAdu6LSVvpDxJxFxW1+TQlrxdco1IUQrhfbsq7dchvGpFEYn8v10T/+w4nX05ge0PcGDi92EEGITbiQfRhLpoPcjbIgEb5KGlA5G9NOrZZiCpotWTVy6PVHlR5Rk3OhzUZNPPidjBD3GIPkY0RM1nZ1KzUj+3UnZCZr/IkQKr8aPduC0TlvpC61cOGds41+8oK9uyDVllpDgoWTPLjqvLu+9SnYnEg6hKRLGkYExzTaCG7ODBxe7CSHEBtxKPowkHHXVFeiMR7FHogRVZzyKumq6CkLcQm9vQfbHdQ4rJni8MFHlN9RkfPOqhYqfN7JAxudkHPY8Lh2M6omaLa2qKO68RtkhxFoYP9qLlb7QqgVGxjb+xSv66rRcU2YJCR567Zmc3YmEQ9i+7v340s6D2N2r3UZwY3bwYM9uQgixGDd7foiOXwq5hGN8KoV1Ha3oiEfz/t4Rj2JdRyvGp1K2jJUQoo7e3oLsj+scRuxtLuwPZQw1GQ+Hyk09l0L4nMzBnselgRk9UbKlXfEY3hmdzPsbZYcQ62H8aC9W+kKz8SfA2MbveEVfnZTruuoKyiwhAUSvPZOzO5tXLcQ3dvXmLXSL11CyEVb4VOIteFyPEEIsxs2eH6Ljv/vp/Xk73ZQSjsTENDbs6EF3Zyu6O1oxlZpBVUU5eo6PYMOOHnzv9qtsGSshRBt6eguyDJNzGLG3ubA/lDHUZDwxIZh6LoXwOZmHPY+Djxk9kbOlHfEobu1cgAN/TODxtcswlZrBgmgEFzbWUHYIsRjGj/ZjlS80G38CjG38jpf01Sm5Hp9KUWYJCSBG7JmU3ZnJZLDpmQOS11CyEVb4VOItfLPY/ZWvfAU//OEP8Zvf/AbhcBgjIyOqn1m3bh2eeuqpvL9dddVV+OUvf2nTKAkhxP3kQ2/CUV9diaSQxqO7eiVfZ9kWQtxHa29BlmFyFjMTPG77Cr+iJuO1VZWWLq7yOVkDex4HG7N6IursycQkjg6OZzddrv9eD5JCOvu+FzdeTTkixAYYPzqDVb7QbJzD2MbfeE1fnZDrnv5hxc9SZgnxJ0btWaHdMWMjuDE7WPhmsVsQBNxyyy34wAc+gMcff1zz5z7ykY/giSeeyP47HKagEkLsxQvJh56Eg/00CQkO1GfnMTrB4wVf4Ue0yrhVE298ToSoY4WeiPr64I8O0YcR4jCMH/2HmTiHsY2/CbK+ysk1ZZaQYGKVPTNrI7gxOzj4pmf3fffdh3/4h3/AkiVLdH2uqqoK559/fva/2bNn2zRCQgg5i996frCfJiHBgfrsH/zmK7yC0zLO50SIOlbpCX0YIe5A3SstGNv4m1LUV8osIcHEKntGG0FEfHOy2yg///nP0dzcjMbGRlx99dX4yle+gubmZtn3T01NYWpqKvvv0dFRJ4ZJCDGJl3TXjz0/WLaFuIWXdDcoUJ/9gR99hYjbeuukjPv5ORFSiF26a6We0IcRUowTfpe6VzowtnEOu3S31PSVMkucxO1ct9Swwp7RRhCRQC92f/SjH8Utt9yC+fPno6+vD5s3b8bKlSvx2muvoaqqSvIzDz30EO677z6HR0oIMYvXdNfq5CORFDA4JmB0chr1NZWI1VqfyLBsC3EDr+luUCh1fXbCZlqBXyeqvKC3Tsq4Fc/JLzJJgo2duqtHT9T0odR9GCGFOOV3qXvBQ87e+jUG9Rt26m6p6WttOITNqxZiZGIadeEQIuEKNEYqS+oeEGfwQq5bahTas0RSwJGBMV25M/0aAVxe7N6yZYuq8fj1r3+NZcuWGbr+X/7lX2b/f/HixVi2bBnmz5+PH/7wh/jEJz4h+ZlNmzZh48aN2X+Pjo5i3rx5hr6fEOIcXtRdq5KPEyMTuOvp/dhdsDvt4ZuX4oLGGtnPOTmxzkl8YhQv6i7xN0Ztpt3I2Um7J6rssM926K3X/YiZ5+SETHr9/hFvYLfP1aInUvrQ1RbDlhsWoQxAVEV2KeukFGG8XNoYtXtq8YeXFkuDatupu9pQe/5KstwQcWdMJLhQb93FTO7sll+zyl7Q7pjH1cXu9evX45Of/KTiexYsWGDZ982dOxfz58/H4cOHZd9TVVUle+qbEOJdgqq7iaRQ5OQB4OXDg7j76f346i2XYWwyVeQInVzs8erCEvEHQdVdv+L34FrNZm5b0+7K73HLTtr1vVbqbSIp4E+jk/jD8ATKysrwev8wtu/pw7L5TYHwI07IJP0w0YrbPjeRFHDXv+/H7t58fdh9eBD3PHcQ7S1N2H98RFZ2KeukVHFbd/Xi93jSS5jZ+O7FmFiKINt2u3U3CLqm9vzdkOUgyyRRx28+10uYtUl+8l0iVtkL2h1rcHWxOxaLIRaTbh5vB0NDQzh+/Djmzp3r2HcSQogZBseEIicv8vLhQRwZGMOnvvOr7N9WtMXw4Ool2PL8G44EB34MRAgh0gQhuFazmYNjguM2yS076Qf7fGJkomjhqyMexdY17diwo8cz4zSD3TLph+dMiMifRieLFrpF9vYOobujFY/u6pWUXco6If4gCPGkVzBj97wYE0tB226cIOialufvtCxTJgkxhhU2yS++S8Qqe0G7Yx3lbg9AK/39/fjNb36D/v5+pNNp/OY3v8FvfvMbjI2NZd9zySWX4NlnnwUAjI2N4XOf+xx+8Ytf4O2338bPf/5zfPzjH0csFsPq1avd+hmEEKKL0clpxddHJvJff/nwIDY9ewCXzK2XfL8YHFiFlkCEEOJ91ILrRNIfuqxmM8+ovG4HbtlJr9vnrMwVLHzt7R3CE3v70N3Z6olxmsVumfT6cyZEJJEU8IfhCcX3TKVmAEjLLmWdEO8TlHjSK5ixe16MiaWgbTdGUHRNy/N3WpYpk4Toxyqb5BffJWKVvaDdsQ5XT3br4Z577sFTTz2V/Xd7ezsA4Gc/+xmuueYaAMDvf/97JBIJAEAoFMKBAwfwf/7P/8HIyAjmzp2La6+9Ft///vcxa9Ysx8dPCCltjJZyqa+uVHy9qqJ4z9Luw4NYt3yB7GesDA78FogQ4kecKE/ntx20cqjZzFkqr9uBW3bS6/ZZSebEE56A++M0i90y6fZzDkL5TGIeLXKgZZImN64tlF23ZZ0Qok5Q4km92OULzdg9L8bEUtC2G8NKXXMzltPy/J2WZcokIfqxyib5xXeJWGUvaHeswzeL3U8++SSefPJJxfdkMpns/9fU1ODHP/6xzaMihBB1zJRyidWFsaIthpclgoaOeBQ9x0ckPyeejJHCyuDAb4EIIX7DqfJ0QQmulWzmirYYYnXOT7C6ZSe9bp/VZE70Y26P0yx2y6SbzzkI5TOJebTKwejkNHqOj6AjHsXe3qGi63QVxLWFsut1m0YICU48qQc7faEZu+fFmFgK2nZjWKVrbsdyWp6/07JMmSREP8MqJ7e12iS/+C4Rq+wF7Y51+KaMOSGE+BGzpVwaImE8fPNSrGiL5f29qy2GWztasX1Pn+TnGmukHaHVwYEYiDjxXYSUGk6WpwtKcC1nM1e0xfDIzUtdOU3klp30un3WUrnEC+M0i90y6dZzDkr5TGIOPXJQX12J7Xv6cGtHKzri0bz3d8Sj2PzxRdm4Vkp2vW7TCCHBiSe1YrcvNGP3vBgTS0HbbgwrdM0LsZyW5++0LFMmCdFHIilAUDhwBWj3/37xXSJW2QvaHevwzcluQgjxOlLln5RKubx6bBgjyWkMjglITAiIVFWgvKwMFeVliOaUjrqgsQbb1rRjcEzAmclpzKquRF11Bb707AEkhXTRdVe0xTA/GinaDWdHcCAGInc/vd/27yKk1HCyFKRVO2i9UNJYymaKEyVujNdKO6lnvF63z2qVS06PC3joE0swOCbg6OC45O/1grxpQY9M6sWp51x4r2dmMiVZqpacRZSHqVQauw8PIhIO4X+suAid8RhS6Qxqq0IAypBITmflIFYXxrL5Tdiwowfdna3o7mjFVGoGVRXleGd0Ev9x8CSSQlpWdr1u0wgh9p/I8prfNxOra/ktZu2enfGHVbhp270mT3oo1LVIOITuzla0z2sEAMxkMkgklWMxPfJr173S+vydlGWlMd1/42K8PTSOunHBV/JCSC5W6/PgmIB9R4fkqzfp9P9y+g4ARwbGDI3bbRvm1HUIF7sJIcQS5Mo/bbiuTfL9kXAIW9e040s7D2B3TjDQEY/i1o5WPPSjQ7jvxsXZ0lENkWJHfN+NizGVknaEcx1MBvyQRBPiR5wsBWlFcO12GbxcpGxmIU6O1wo7aWS8XrbPcjLX1RbDAzcuRqi8DHc/c0D293pJ3rSgRSaNYvdzlrrXj69dpviZIJaqJWfJlYfHPn0FIuEQHv1UO57Y04d/+enh7Ps64lHcubINlRXlmNtYk6fzj+7qzb5PnDwenRCwaskFirLrZZtGCLF3staLft9orK7nt5i1e3bGH1bhhm33ojzpIVfXXj02jK1r2vHE3r4i/6r0e7TKr933Suvzd1KWC8dUEw7h9f4RXL91d/bAiZ/khRARO/R5dHIa2/f0YeuadgDIW/DuiEdx3w2LdOtuob6bGbdXbJhT1yl1uNhNCCEmUSr/9JmrL5b8THdnK57Y21e06038d3tLE+5+ej+2rWk3POHnZDLghySaEL/hdClIM8G1Whk8JVvmBm6M14ydNDNeL9tnpV3b63f0yP7er95yma/kzQnses5ysqdG0ErVkrMUykNVRTm6O8+21dkjE9OuWnoBrl98PhoiYRU/U6tpDF62aYQQeyZrvRpnGonVjfyWUrB7Tv5Gr8qTXkRdG0lO40s7DxTNLan9Hi3y69S98qKMi2NKJAXFvMQv8kKIXfpcX12JpJCWrN7Uc3zE1XH7zYZ50Rb6DfbsJoQQkyiVf9p3dAhdEn032uc1SpZ3Ac5ODrbPa8yWjlKiIRLGxc11uLylCRc319EpEhIg3OjbY9SmaCmD5yU4Xu8gJXNqv3d4PLj3w2vIPYue4yNFfZdF2FcsuBTKQ8/xEXzgomjRQrfI3t4hNM+qytNJxq6EBB+r9dyrcZCRWN2rv6WUCNIzaIiEkZrJ5FULzEXp92iR3yDdK6PwHpCgYJcsi7YkKaTx6K5e3PbUq7jju6/jtqdexf7jI4jWuhcDUH9LD57sJoSULEo9O/T081Aq/7R9Tx9euLMTv+o7jeZZVZhKzaC6MoSqCuW9RlOpGQAsA0qIFH7ur6YHP/XtMVLG0ehzzP1cXVUFwqFyjEwIqKvWfg0nS8Rbgd/Gaxa13zs6mVJ83an7oVWG5d5nVRxiJ3LPQixVV15WVlQSzmv2iZgjkRQwkpzGuJDChJDGj/9+BcampjFwZgrVFSFUhtRj2qDZKEJKFbd8k1fjICOxutpvOZ0UcPrt06gNh1BbVYHGmkrFe+yVeMFPeFWeRPQ+U6O/R4v8Hh0cV7z20LgAnBpDXVUFxqdSSEwYi4m9jNflhRCt2CXLds9bGR13IingdFJ5MVvvbzZiw/xi9/wyTjW42E0IKUnkenY8cvNSZABd/TzUyj+Vl5XhR/tPYnfvu9f73u1XKX5GXAyvCYe0/BxCSga/91fTi1/69ugt42j0OUp9riMexa0drVjzr7/CsvlNmmTB6RLxZvHbeM2i9nvrq5VTGCfuh1YZlnrfhy5txuZVC/HFnQctiUPsRO5ZiKXq/mNDF1IzGU/bJ2KckyMTOHY6iW27DqOnfwRb17Tj6z99K6860Xc1xLRBs1GElCJuxuBejoP0xupqv2V0Yhq3PfUqgLMx7p0r2zB/dgRzJe5xqeVFVuFleTLyTM38HjX5Vbv2mclp/MW3foHOeBTrOlqxYUcPkkJac0zsB3n1srwQogc7ZdnOeSsj4xbtzbrlC3R/Vg4jNswvds8v49QCy5gTQkoOpZ4dP3/rFO76d/l+HgmJXWFK5Z82r1qIzTsP5i10A2fLm3fKlP/siEez5UFf7x+R/E5CShG1fjtB1RU/lHzVU8bR6HOU+9ze3iE8sbcP3Z2tmmXBjRLxZvDbeM2i9nubat29H1plWO5975tbj03PHrAsDrETpWexbH4TGiOVnrdPxBiJpICfv3UK23Ydxt7eIXR3tuKJvX1FbXh+oRLTDpyZCpyNIqTUcDsG93ocpCdWV/ot4jyAyN7eIWzbdRg/f+tU0T12+5n4Ga/Kk9Fnavb3KMmvVnndk5OPSY3Zz/LqVXkhRC92y7Jd81Z6x51rb6xqvWXEhvnF7vllnFrhYjchpORQ6tnRPKuqaGFaRK6fh1iypdD5rmiL4YqWRsnrbd/Th3UdrUX9vMUTim+eSODWjlZ8+YU32UOEkHOw3453UbKDhaWrjD5Hpc/t7R1C+7xG1WsYGa8X8Nt4zaL2e+fUV7t6P7TKsNz72uc1Fi0YihiJQ+yk1GSPvMvgmIDmWVVZWZWTW6WYdv21bVh+UZRyQojPcTsGD5Ivkvst4jzA9j19eX/f2zuE5llVRffY7WfiZ7wqT0afqZ2/R4+85uZjhWP2s7x6VV4I0YtfZVnvuHPtzfY9fbi1o7VowVvvbzZiw/xi9/wyTq2wjDkhpORQ6vch9sqWQ66fh1zJFrkeR2L5z+c+24Hp9AwGxwU0RSqRSmeQSE5j4QUN2RJQ7AFEyFnYL8vbaC1dZfQ5qn0u135rkQW/lIgX8dt4zaL2e928H1plWO59SrGG0TjETkpN9shZRien8+RRTjbFmPZ7f3MV/u66NqRmMoica8Pzs98P4Nr3ngeg1okhE0JswgsxeJB8UeFvCVeU40cH/5TN/wuZSs0U3WMvPBM/40V5MvNM7fw9udceGj97/Z7jI5LyWhgrqMXEhe/zKl6UF0KM4FdZ1jPuXHsj5indna3o7mjFVGoGC6IRXNhYo+s3G7FhfrF7fhmnVrjYTQgpOZT6fYi9suVQ6ufRECl2tPXV8jugkkIa5WVlqKoI4a8ff8XQdxJSSrBflveRsoOFGH2Oap/Ltd9aZUHLeL2E38ZrFrXf69b90CrDcu9TijXMxCF2UmqyR87K7+nxd+NYJdlMCmkMjQnZPrO5rFpygS3jI4Q4h1di8CD5otzfcmRgDI/u6pV9b1VFedE99soz8TNekyezz9TO35O99sAY/uJbv5B9X2GsoBYTF77Py3hNXggxil9lWeu4C+1NUkjn+dgXN16t+/cbsWF+sXt+GadWWMacEFJyKPX7GDgzZWkPEy29RdgDiBBtUFeCgdHnqLVnHGWB2I1WGZZ7X8/xEdkex1bHIYQYJVYXxsCZqWzZP6Wed50FfWZFKLOEBAPG4PaiFuMOnJkqusd8JsHDD89UT895LTFx4fsIIcQsdtgbI9f0i93zyzi1wsVuQkjJodTv49r3nmdpDxMtvUX82jeFEKehrgQDo89RS884ygJxAq0yLPe+358cxYOrlzgShxBilIZIGNe89zzcubINHfGoYs+7B1cvwe9Pjhb9nTJLSDBgDG4v4v3tkohx71zZhmvfe17RPeYzCR5+eKZyY+ws6OGtNSb20m8jhAQDO+yNkWv6xe75ZZxaYRlzQkhJotbvw8oeJlp6i/i1bwohTkNdCQZGn2Ph52qrKhAOlSMxIeD59Z2UBeIYWmVY6X1OxSGEGGVuYw0i4RAevGkJxoUUJqfT+MpNizGdzmB8KpUnm1+75TLKLCEBhjG4vVzQWINH17Rj4MwUEhPTiIRDqA1XoDFSKXuP+UyChx+eqdQY66orMD6Vwvduv8pQTEwIIVZih70xck2/2D2/jFMLXOwmhJQsSv0+rO5houV6fu2bQojTUFeCgdHnKP25WmsGRYgOtMqw3PucjEMIMYpZOSeEBAfqub0Yub98JsHDD8/U2jyOEEKsxw57E2Q/7ZdxqsEy5oQQQgghhBBCCCGEEEIIIYQQQnwHF7sJIYQQQgghhBBCCCGEEEIIIYT4Di52E0IIIYQQQgghhBBCCCGEEEII8R3s2a1CJpMBAIyOjiq+b2xsDACQ+MNRzKTSlo5hbOCPZ8fwp7dRVVXli2v7ccx+vbYfxwwAZ/507Ox3jI2p6hcAzJo1C2VlZZqvr1V3CSH2Qt0lxH9QbwnxJ9RdQvwJdZcQf0LdJcR/UG8J8SdadLcsI2oskeQPf/gD5s2b5/YwCCl5EokE6uvrNb+fukuIN6DuEuI/qLeE+BPqLiH+hLpLiD+h7hLiP6i3hPgTLbrLxW4VZmZmcOLECd27fvzA6Ogo5s2bh+PHj+sy8n6DvzMY6NVBu3Q3SPeZv8WbBOm3AN7RXasI2vOxC94nbXj1Ptmpt179zVrg2N2BY9eOVbrr53uuBH+Xvyil3+WHeNnvz8Pv4wf8/xuCOH4v6K7f76tf4H12Bifusxf0VolSlbVS/N38zfp+sxYdZBlzFcrLy/Ge97zH7WHYSn19fUkoFH9naWG37gbpPvO3eJMg/RY9+MXvlurz0Qvvkzb8fp+M6K2ffzPH7g4cu/Wo6a5Xx20W/i5/wd9VjJvxst+fh9/HD/j/N5Ty+O3UXb/fV7/A++wMXrrPbvlcL90DJynF383fbB3lll+REEIIIYQQQgghhBBCCCGEEEIIsRkudhNCCCGEEEIIIYQQQgghhBBCCPEdXOwuYaqqqnDvvfeiqqrK7aHYCn8nsZIg3Wf+Fm8SpN8SRPh8tMH7pI1SvE9+/s0cuztw7M7j13Grwd/lL/i7vIVfxy3i9/ED/v8NHL89eHVcQYP32Rl4n0v3HpTi7+Zvtp6yTCaTseXKhBBCCCGEEEIIIYQQQgghhBBCiE3wZDchhBBCCCGEEEIIIYQQQgghhBDfwcVuQgghhBBCCCGEEEIIIYQQQgghvoOL3YQQQgghhBBCCCGEEEIIIYQQQnwHF7sJIYQQQgghhBBCCCGEEEIIIYT4Di52E0IIIYQQQgghhBBCCCGEEEII8R1c7CaEEEIIIYQQQgghhBBCCCGEEOI7uNhNCCGEEEIIIYQQQgghhBBCCCHEd3CxW4VMJoPR0VFkMhm3h0II0QF1lxB/Qt0lxH9QbwnxJ9RdQvwJdZcQf0LdJcR/UG8J8Q9c7FbhzJkzaGhowJkzZ9weCiFEB9RdQvwJdZcQ/0G9JcSfUHcJ8SfUXUL8CXWXEP9BvSXEP3CxmxBCCCGEEEIIIYQQQgghhBBCiO/gYjchhBBCCCGEEEIIIYQQQgghhBDfwcVuQgghhBBCCCGEEEIIIYQQQgghvoOL3YQQQgghhBBCCCGEEEIIIYQQQnwHF7sJIYQQQgghhBBCCCGEEEIIIYT4jgq3B0AICRaJpIDBMQGjk9Oor6lErDaMhkjY7WERQgiRgXabEEKshXaVkNKCOk+CDmWcEKIV2gsSNCjT/oGL3YQQyzgxMoG7nt6P3YcHs39b0RbDwzcvxQWNNS6OjBBCiBS024QQYi20q4SUFtR5EnQo44QQrdBekKBBmfYXLGNOCEEiKeDIwBh6+odx5NQYEknB0DUKjT8AvHx4EHc/vd/QNQkhhNiHW3bbCp9DCPEO1Ol3YTxMSPBQsnHUeRJ0CmU8Eg5h/co41i5fgEMnR3H4nTOUc0IIAHmf+OqxYbz01ikcfucM8wXiK+yK85g/2wdPdhNS4li1Q2lwTCgy/pFwCN2drWif14i3BsYwuzbMUh+EECKD06WRpOy2yMuHBzE4Jlj+/dwVS4g72GVfqNP5uGFXCSH2oWbjCnU+N/+dSs3g5OgkAFDvHYblRq0jV8Yj4RC2rmnHE3v78Oiu3ux7StnvE6JGKdkjuXlh0W5seuZA9u+0G8RK7NIzO3I75s/2wsVuQkoYtR1K29a0azbao5PTef9mIkQIIdpxI+AttNuFnFF5XS9W+hxCiHbssi/U6WKctquEEPvQYuNydZ75rzfgJLK15Mp4d2crntjbh729Q3nvKWW/T4gSpWaPpOJg2g1iN3bqmdW5HfNn+2EZc0JKGC07lLRSX12Z92+1gIYlOggh5CxulcAstNuFzFJ5XS9W+hxCiDbstC/U6WKctquEEPvQYuNydZ75r/uwrLz15Mp4+7zGIvkWKVW/T4gcpWiPpOJg2g1iJ3brmdW5HfNn++FiNyEljJU7lGJ1Yaxoi2X/zYCGEEK04VbAW2i3c1nRFkOsztodpTzxSIjz2GlfqNPFOG1XCSH2ocXG5eo881/34SSy9eTK+FRqRvG9pej3CZGjFO2RVBxMu0HsxG49szq3Y/5sP1zsJqSEsXKHUkMkjIdvXspEiBBCdOJWwFtot0VWtMXwyM1LLS+fxBOPhDiPnfaFOl2M03aVEGIfWmxcrs4z/3UfTiJbT66MV1UoTyGXot8nRI5StEdScTDtBrETu/XM6tyO+bP9sGc3ISWMuEPpZYldUEZ2KF3QWINta9oxOCZgKpVWfC8NOCGEnMXNgDfXbp+ZnMas6krE6sK2LMhY7XMIIerYaV+o09I4aVcJIfah1caJOn8yMal4Pea/9sNJZHsQZXwkOY2utpjkKbpS9vuESFGq9qgwDm6KMF8g9uGEnlmZ2zF/th+e7CakhLHj9ElDJIyLm+twYWMNyzgSQogG3C57K9rty1uacHFznW0LMjzxSIjz2GlfqNPyOGVXCSH2ocfGNUTCmNtQzfzXZdyOqYNMQySM+bFaPEK/T4gmStke5cbB82O1zBeIbTilZ1bldsyf7acsk8lk3B6ElxkdHUVDQwMSiQTq6+vdHg4htpBICracPjkxMoG7n96ft2NJNOBzG2tMX18J6i4h/qRUdddNe+k0dvkc4h6lqrd+wW77Qp32L9RdQtTRY+Ociueou/KUUkztFvT7xqHulha0R+/iZ7tBvfU2ftQzP+uD1+Fitwo0aISYwy0DTt0lxJ+Usu4y4CV+pZT11i/QvhApqLuEWI8T9pa6qwx9HvEq1N3Sg/bI/1BvvQ/1jIiwZzchxFYaInQwhBCiBdpLQohd0L4QQogz0N66D58BIcQr0B4RYj/UMyLCnt2EEEIIIYQQQgghhBBCCCGEEEJ8B092E+IhxLIbo5PTqK+pRKyWO5MIIYQEE/o8Qs5CXSCEEHuhnSVehHJJCNEK7UVpw+dPiDa42E1IAW45kBMjE7jr6f3YfXgw+7cVbTE8fPNSXNBYY/v3E0IIIU5hhc9jwkfsxgkZY/xHCCHqmLHHtLPETeRkl3JJSOlh1JfRXpQ2fP7G4HxRaVKWyWQybg/Cy4yOjqKhoQGJRAL19fVuD4fYjFuT74mkgPU7evK+N/f7t61pp0HWCXWXEH/iZ91lMK0NK3weEz5v4We9lUNJxmrDIUt0nfEfcZsg6i4JHmo+Xyn+CqqdtVt3GdNag5zsPvSJJbj7mQOBk0uiDv2ud7Hb7hnNX4Pqx/yEm3oblOfvdFzB+aLShSe7CTlHIikUGUIAePnwIO5+er+tk++DY4Kk4xK/f3BM8IXzIoSQUoXBtHbM+jwr/DUhSijJ2F1P78f1S+Zi0zMHsn83quuM/wghRBk1ny+1aJhrk2ln9cOY1hqUZPfYUJJySYiHsNvumclf6cdKmyA8f6fjCs4XlTblbg+AEK+gxYEooWZME0n5z49OTite+4zK64QQQtzDjP0vRcz6PLP+mhA1lGRs9+FBNM+qyvubUV1n/EcIIcqo+XypRcNcm0w7qw/GtNahJLsjE5RLQryCE3bPTP5KP1ba+P35uxFXcL6otOFiNyHncHPyvb66UvHas1ReJ4QQ4h4MpvVh1uf5PeEj3kdNxqZSM0V/M6LrjP8IIUQZNXsst2go2mTaWX0wprUOJdmtqlCeiqVcEuIcTtg9M/kr/Vhp4/fn70Zcwfmi0oZlzEkgeGd0EsPjAkYnU6ivqcDsSBhVFeV5/SDqqiowPpVCYkK6P4SUA4nVhfHIzUvRXF+FCSGN3/1pFE2RMObUVxe9N9eYRsIhdHe2on1eI6ZSM6iuDGEmk5Edf6wujBVtMbws04MjVsfyGoQQogcnewIZCabNjs+u35dIChg4M4WRiWnUhkOorapATWUIYwr+U+/4zPo8vyd8xH706kfh+2dHwoiEQ0gK6ex7cmO72nAFnlj3fsxkMgiVlSE5nZaN9ezUBSt+OyGE2I1ol8amptEYCUNIzSAppLL/PzaVQl1VBcKhcoxMCKirftd21VdXIhIO4f+5+iJc+75mAEBSSKMyVI7dh0/h/PoqPL52WTbnfr1/GNv39CEppHFmchqtsdqSzbOlYrrGmkpFn6AnpnXL32j5XivHpnYtudeV4tWe4yPoaovJ9mANslwSYidG7EM6k0GsLoxPXtmCZS1NaIhUoiJUjkRSQFMkjOmZGbz69mnUVlWgrAyoKC/DeXVVumyKmfyV88XBJFcO5WIgwJnnb8Rnah2/lQvPWvW7pjKkeB3OFwUbLnYT39M/NI5Nzx7A3t4hAGcnIx9fuwyP/awXu8/9DQA641Gs62jFhh09SArpov4QhQ4kVhfGd2//c9z/whvZa4vXeXD1ErREa/PGIQYvkXAIW9e044m9fXh0V2/29a62GB6R6UfREAnj4ZuX4u6n9+c5sBXnPmNXYmYGTqYSQryK0z2B9CavZsf3h9NJbHpmf56Ps+L3nRiZwF3/vh+7e98dV0c8ivXXxjGdyuD148NYcmED3h4cx7ymCObUSyf5ar/PrM9jwk+U0Ktfcu/fvu796H7y10gKadnYTowtP/dvv0VSSBfFenbrgtnf7mesikMZzxJiL6Jdeu3YMLauacc//vj36Okfyf5/bp7dEY/i1o5WrPnXX2HZ/CY8fPNSxOrCePLW9yM9k8Ej//m7vPd3xWP48MI5uHPHK9nNSR3xKLauaceGHT2YVV1ZZGfFjUvLL4qe3Rw/fvZEkZTe+9k+yMV0d65sw/zZEcyV8QlaY1q3/I2W77VybGrXUnpdKV79/clRPLR6Cb7w7AFL538A++XWz3pBgo1R+9DVFsN3b/9z/MtPf4/L5zXia/911k89+ql2PPwfh/JybtFPPfwfv8P9Ny7WbFPM5K92zRfLYUbHaR+0ISWHUjGQHfmilrGo+Uw949czV6YkP3LjfOTmpYiEQxgcEzCcFDCdnkFSSGPlJedh1+9OFX0f54uCT1kmo3DclGB0dBQNDQ1IJBKor693ezikgHdGJ7Hx//4mL+ldvzKOnv7hvL+JdMSjaG9pyk5UrmiLYdua9jzjKTqQx9cuw/a9fZLX6YxH8U9/cXneCe9EUsCdO3qwdF6j7PcXfl8homE/MzmNWdWViNUZDwzsTED9MJlK3SXEn5jV3URSwPodPbInJZRssFFE+y+XvOZ+p9nx/XE4ic8/vd+Qj1H7Deu/15M3KSqy8pLz8LkPvw8P/ugQ9qgssOv5fWZ8Xq6/zr3+IzcvlZ3AJfbhFZ+rV7+U3t8Vj+GjS87HF549aCi2BOCILhj97X7GqjjUD/Gs3XhFd0kwybVLuXZUq01d0RbDV2+5DLsODeCFAyck398Vj+KyHBssXmPV0gtw/eLz8+zs0LiADIAtzx1U3TDodfugpLtKMZ3UvSn8rFpMC2j3b1aixc9ZOTa17/vqLZfhc//2W8XvGhfSivGqlfM/gP1y63W98AP0u/Zg1j50nluoE+eA16+M4zf9w3m5r4jop/YfH9FlU8zmr1bbC7kxGtXxINsHK/VWSVYLYyCr80U9Y5HzmXrHD0DTXJmS/NSGQ5LfGQmHsH3d+/GNXb1Fm/vuWbUIj/znobwFb84XlQbs2U18zfC4UJT0ts9rlEyEAWBv7xDa5zVm/13YH+KCxhpsW9OOFzdejQsaa2Svs6d3CMPj+X0lxN1Wyy+Kyn5OrR9FQySMi5vrcHlLEy5urjN1orvQSYjff/fT+5FIGu+JYee1CSHELG70BBLt/4q2WN7fpXbbmhlfIing2FDSsI9RYnBMkJwUBYCFFzTgoYKFbvH7Cu2+nt9nxufl+uuddyzHixuvxrY17UxcShy9+qX0/t29g3jvnFl4fO0yfHjhHN2xpVO6oOW3BKnPqlVxKONZQuwn1y7l5uha8/WXDw9ieFxAc32V7Pt3F9hg8RpXtDTm2dKGSBjR2jC2/OCNvIVu8Xty9d7v9kEpptvbO4TmWVWyPkFLTOuWv9HyvVaOTe1aw+Pq36UWr1o1/wPYL7d+1wsSbMzahz29Q3m+pn1eo+RCN/Cun9JrU8zmr1baCynM6Djtg3aU5LAwBrI6X9QzFjn51jt+LXGFmvwMnJmS/M7uzlZs23W4KObZ2zuE+194A5++av7Zyr+fvgL/+XddnC8qEVjGnPia0clU0d+mUjOKn4mEK7B93fuz/bwK+0M0RM7ujnql77Tu776gsQZ/Skwofk5PPwqjaHFYRh2jndcmhBCzWNkTSA9i8qq229bM+AbHBIxM2PP7lMbVPq8x78RULoV238n7L/prI7DEWjDRK39q7x84M4U7vvs6Hvv0FYrvK4w9z0xOQ610ltW2SO63iCV7p1Jp9PQP+17erYpDGc8SYj+5dinXTqrl67mvj06mdL1fZOJcWfNctOq93+2Dmm+bSs0o+iC1mNatWFvL91rpe9W+T2o+SOq7zMSrerBbbq24PuNvYhdW2IexyXf9hla/o9feOWUPjKCm40PnDnxJ6bDf/aaTaPHRInavHxjx50bGrxZXSMmPmMO2z2vEcFLIW8cRW9cozVPt7R1Cd0crbnvqVQDAzjuWUwZLBC52E19TX10swlUVygULkkIKtz31arafV32NdP8IqWtreb2hRtl4FvZu1YuWBMHOBFTt2omJaRwZGFMcH5McQohd6O2fbSVakle948u1l1UV5XhPUw0i4VA2wFf7vFaUxqWW7Of6FLXfV1tVoeoj7EauV9tDq5fgPbMjjo6FWIte/VJ7vxhTqsWWha9r0UOrbZHUb5HrNe52SUEzcaDRGFf8zrGpaTRGwphKpfHYp69AdWWoaOJE6TqEEO3k2qVcO6nHptZXV6jqY+H1IuEQmiLhonhDi/1IJAWcVjiBFgmHMJPJuB7LKKHFt6n5IKWY1q1Y24rv1TM2te9Tmy+yM+cAin1pOpNRzBHM+jWzc0x6Shy7MV/EOSp/Y4V9qKsOZf9fq5+yW8/NokeulXQ8Eg4hg+Iy8KIOWzUHbUQPvaK7WsehNf8E7JcvI3pjdPxKcUWh/MjlsF3xKHbe0YG+oXFUhspRUV6mOJbceSwr7qVXZI0ow8Vu4muaasPojEfzysv0HB9BR1y6lHhHPIqe4yMAzu7yKQPwT39xueZri3TGo2iqlTZosbowVrTFZPtRxOrs78FkZwKqdu3J6TQ+8c19suMLch8XQoj72GmDrUDP+CQXZeNRPL52GW576tWiyawuE79PaVwNMpvCRHJ9itJ1utpiePXYMDY9cyD7N6ftv1yJrN2HB3H3M/vxyM1LcWETF7z9il79V3p/Z07MqDW2LPweJ22R1G/p7mzFE+d6D+YiloRzo4+32TjQSIwrfudrx4axdU07/vHHv8+7J+IG2A07erJ21euTl4T4gVy7lGtHlWxqV45NXdEWQ1NtWPP7gXf7N35p58G8spYr2mL44scuVRxvzbmekOuWL5B8XZx8vf/5N1R7fruJkm/riEcxcGYKy+Y32XJ9O2Ntrd9r1djUvq+p1r2cQ27jZqEvy8WsXzMzx6RWojY3HnFjvohzVP7HrH3ojEcxMDqV56e64tGithfAu7G/F+YWlNAr10o63t3Zii3PHZRtA7J51ULFsWixP0b00Cu6q2ccaj46NwayW76M+HM7xl8oe3I57O7eIdz3whvZvuDfvf0qxeuKC+9W3EuvyBpRhz27ia+ZU1+NB1cvQWc8mv3b9j19WH9tHF0F/SA64lHc2tGK7Xv6sn/b0zuEMZnyU1LXBs4GQQ+uXoI59dWSn9PTu1UPSgnCXU/vx7Gh8WwfFNH5SGHWyCtduzMexb6j8j3Q2MeFEGI3dtlgq9A6PtlF2d4hPPazI/hSwYRtZzyKh1YvMfz7xHFJ+c7ZkTC64tJ2v6sthrqcky1Kv++z18bx5RfezPu70/ZfrVfbsaEkfZGP0av/Su//yuol+N3JUQBnY8tbO1olY8Lc2DL3e5y2RVLfp9QX140+3lbEgXpj3NzvlJs42ds7hCf29qG7s1X2OoQQ/eTaJdGOdsXf/f+OApvaEY9i88cXYfuevqytnFNfjWveex7uXNlW9P6uthjWr2zLy+83r1qIb+zqLerf+PLhQbzeP6JoP17vH8HunIX5QkQbotbz222UYro7V7bh2veeZ8oHuRVry31vV1sM99+42PKxqV1rTn21K/dBaePmkzm+rHBMZv2amTkmrX1h3Zgv4hxVMNCi+0rveXD1Ejz7+h+yvmn7nj7c2tlalAOL88q/OzmKB1cvwdC4gJ7+YRw5NeYpWTEi10o6vvwi6YV/8ZrhULmpOWgj4/WK7uodh5wc5q5ZODV3ZcRn2jH+QtlTymFz+4L/4uhQUX6eOx5xU4rZe2mlrCWSAo4MjHnSbgSFskwmo9a2oqQZHR1FQ0MDEokE6uvr3R4OkeGd0UkMjwsYnUyhvroCs2vDqKoox+CYgKHxsz0heo6PFJUoBM72bbi8RX5nc+G1m2rDsgvduYjlLZR6t+rhyMAYrvv6S7KvP752GZ7a93Z2V9GJkQnc/fT+vN1WopGfa3LXkdS1u9piWLt8QXYncW5/janUDC46rxY1FSF8dOtu2dJaL268Ghc315kamwh1lxB/YpXuWm2DrUZtfGo2/98/8wEkJqYxlZpBY00l5kcjlpxITiQFDJyZQmJiGpFwCLXhCkTCIYwLaWx+7mBegC8mNN9/pR/33bg4b0dr4XVqKkP4wf4T+NZLRyV9gJX2X4me/mGsfmyf7OuPffoKvG/OLEfGEiS85nP16n/u+2vCIbzeP4J/+q/f45NXtmST6Xmza9BQE8bYZCp73brqCoxPpTA6If89Ttki8XsSEwIiVRUIlZVhZGIat/zvX8h+Ri0Gtho1u6bVDuiJcXO/U6yKIYcYS1sRK/sFr+kuCSaifRqfmka4MoQ/Dk8gNZPB3IZqCKkZnBqbQjhUjp7jI7jmveehKRIuspWJpICR5DTGhRSSQhoNNZVonlUFAHk2diaTwYf++WXJcUTCIfxoQxfuee5gkf24/8bFuP5cnhqrC2P7uvfjzGQKiYnpbLuDzouj+OS//kr2dzoVywDadFcqpmuMVFrmg9yKtRNJAX8ancQfhicAIDvPs2x+U3YuxMqxqV3L7HfpLYuq5ku/d/tV+NR33pVTq+aAAH3+Nxe1+FuMR6yKE/Tg9HfS79qLFn2Ue08ieXb+OD2TQXomg8npNJpqw5iansHo5DRqqypQXgaEystQUxnCvT94Az89NJC9rhsVy+Rsh1G5ltPxv7uuDTcr5BQ/+OxyxGZVG56DNjJeJ3VXSW+NjiNXDmurKhAOlSMxIaC2yvm5KyN+zOrx58reY5++And893XZ94qvixV3ntr3dlGlk/tuWAQAiFpQatzKHFbtdDhLpZuHZcxJIJhTXy25AN0QCQMDY/iLb+U75dyF2OmZDI6cGpM1IHLX1koGAJTbSGhCrQfKVGomrwzUBY012Lam3ZYEVOra6UwGN31jb3ahW7K/hkppLfZHJIRYhZb+2W6iNj41mw+cDdytnlwUr1NeVna2T3hlBuGKcpxXX42v3XIZjgyMYWTibP/wnuMjWXs+lcovQTgupHH/C28WLY7L+QA77L9UoqClxxR9kf/Rq//i+xNJIa8XXWGf621r2jFH56SJ3FisTGTlEucvqJTsdbpUt1X9/PTEuLnfmdu3TYqGmkpXSrsTEnRybezJxCSmUjOorgzhv958p2gz+urLL8TFzXXZky+5NnJ+rFb2+iKvHzstO46kkMZIUpC0H28PjWfz2IdvXopH/vN3eaeKutpiWH35hbb2RLYau2NhN2PtB354SLUktlULzmrXMnMfjJRFVfOl1ZUhvLjxals2IUj5X3HjX0//sGw8o7UEulVxgh7c+E5iH1r0Ueo9hTageVaV7HUK8wURJ9sEqdkOo3ItF2OrVYOqrao0NQdtZLxe0V2j45CWVek4x26M+DGrx58rP1Op4gN04sbD7Xv6suXJk0IaG3b04LnPdqC8rMy2zXdSzzh3fEPjAqCwrgRoa+cxLqRZKt0CuNhNAk9hPwm5hVgrDYgdvRy0TNAD75aBEh2PnWXECk8hiom/bH+Nw4OYyWTQ3dmad+9F2B+REELOombzmyJhW04PKfmvyel03kmRXHJ9j1wgL/oEKR9gtf2X+x0PfWIJutpikqUUxVJXqy+/0NKxEP+gpcymFXGVlXGiUuL8kWPDsv0G3SjVbabfZyFaY9zc7xRjZTmaPL5JihA/I2X3CjfBiXbJjI2MhJWnuKorQ5L2o+7cRL5SHrvl+Tdk81iAuaxTWO2r3erDqaePdS5qvrShptLWCgO5+nNiZAKf+7ffqt47rX1hrYwTtOLGdxJvodcGOJUvyKHFdpiRaykfOTaVQmc8ij0qOYXROWgj4/WK7nplHEEgd3Pk9nXvx7Zdh/Niro54FI+vXYZX3n53Y2NSSKO8rMxWv1f4jI2sK6nZjZHkNL5UUElRfM2pTTRBgT27SeAp7Cchl8Ba1dfDrr4hSv1TxAl6ETd2n+aOT2t/jVzYH5EQQt7FTF88o6j5r9SMcucb0fcoBfJSPsDq36P0O7b84A18ZfWSot5OYkn2358cpS8qYZw4IWB1nKikbw/88BA2r1pU1HvWqT5whbhh13K/U64Pr53fTwiRt3t7e4fwxLkew6JdAmDKRpaXl8nqeUc8ilC5dMk10VYo5bG7Dw9i+UW0IW5jpa92s+er1j7WhbjhS6XQc++09oV1O05w6juJdzBiA9w+UazFdlgp14mkgHt/8AbWnetnnktnPIoHVy8xnVMYGa9XdNcr4wga39jVWxSP7e0dwmM/O4LchsxO3OPCZ2xkXUnNbowLKUMxASmGi93EU4jlynr6h3Hk1JhlyYVYDuPFjVfj+sXnyyawVhgQo0mLGnIJgjhBv31PX/Zvbuwcyx2fWpnIQtyadCWEECfR4+O0TgpZiZr/mlFZ7NZagjDXR9jxe5R+x08ODSCVnsEjNy/F926/Co99+go8vnYZ2lua8P1X+nH/jYvpi0oYqV3b61fG8fjaZXjs01egOhwyHZtaHScq6VtSSKNvaBztLU3Z3/Cff9eFbWvaXelJ7YZdy/3O7Xv6cKvERB3jUELysTonV9sEt2rJ3KxdMmsjK8rLJPVczJnlFrtFW6FGVWW5ozbMKeyah7EDK0/R2TV3owUzpW+d9qVS6L13uXNyO+9Yjhc3Xl0Uj7gdJzj1xaJgewABAABJREFUnSQfN+2PERvg9kleLbbDSrkeHBPw00MD2LCjJy+neHztMlze0gQhrW/+Vwoj4/WK7nplHGbwWgwwOCZgd6+0Xu7uHcSSCxsAOHePC5+x0sZIo3ZjXKZFjghbamiHZcyJrejpR2h3+SixHEZP/7Di+85MTpvqo2jnLj8xQRg4M4X+00kAyOuZCri7c0wc38nEpOL7WmZHbOsjRQghdmPERxjxcWb6XhlBzX+JJUbNliC8KFaLnXcsV/09Rn2x2u8YnZjG5S1NqKuqyN7b1ZdfiFhnK31RiZNbZtNIeTItMmt1nKimbxXlZXnj33nHclfl3Gm7Vvid41PTePCmJRDSMxifSjEOJSWLnL2yIydXs3uT0+msDpq1kdHaMB760SG0tzShu6MVU6kZVFWUo+f4CL7/Sj++dstlsp+9oLEG41Mpxes31oQdt2F2Y9UzNzOHogetJbG14MYJTfE+pWYy2L7u/dkepIW94JUWzNzwpYUYuXdaShy7HScERa/9gtU+R48dSiQFnFZZ1JOSYyttkBG0LrZbJdeirieFtGQbjw9e0qzrenIYGa9XdNcr41BDSj+82Cdazb/Mqq7EixuvlrzHdsUiuc94aNx6u9FYw3L4VsHFbmIbeoIWo/2KjKAWGNSEQ1i/o8ewoTeyy0+PMRYThNqqCtz99P48Q+mFnWPidysZ8eZZVZ5z+oQQogUjCbkZH6en75XZwF5LD8CHb16q6nvUAvm5DdW2bA7Q+jtEP2y0pxgJLuKu7buf3o+l8xoVy5MV6q1WmY2EQ4pj0JvIKulbYZsbI9fXg1Yb5IbuUd8JeRc5e/Xg6iXY8vwblufkevJj8b2RcAjdna1on9eIqdQMqitDeL1/GPUqk4ENkTDuu3Ex7n56f9FGJS15cvOsKtVFjCDZE6vmYZzse53rq83OhTh9QvMPp5PY9Mx+7M6JLQp71wPaFszclkM77x3jhNLA6nlgPXZIfO+65QsUryklx0ZtkFWLcHoW262QayftpJHxekV3vTIOOaT046FPLMGP9p8sOkVtVAetknE1mYvWhiV7dDt1iBIDY4rvM2I3IuGQq5toggQXu4kt6A1atJSOscppqAUGr/ePmAq29O7yM2qMvbxzzMoElBBCvILRhNwJH2dFYK/FfzVE1E80mfUBZic+3N5tT/xNbpUaqdMLQLHeapXZRFLA6/1n+0ZLlT4zIp9y+iaW7N2wo8fU9bXi5EIHIcQ4SvZq07MHcNm8Rvz00EDR58zEK3XVFeiMR7FHwu51xqOoq353WipWF8aHLm3GX17ZUlRZozMexSeXzVP9PjN5cqnlsVbEqE4eXBCxai7EyZjxj8NJ3PXMfskepMDZHqCP7ur1jawx3iZmsTJH1mOHct972bxGQ3G5XhtkZZzstJ+irvsfOf1onlUlWy5crw5aKeNGZM7JWMSoTqjZjVKKP+2Ei93EFvQGLU6Wj1IKDO6/cTGu37pb8nNaDb2ewMOsMfbyzjEvL8YTQogRjCbkdvs4qwJ7rf7L7hKEZic+Sm2imlhPQySMo4Pjiu/J1VutMjs4JuDLL7yJrWvaASBvYq0jHjXcM75Q32rCIbzeX9zmxi75d2OhgxBiDCV7tfvwoOIpN6PxyvhUCus6WpFBsd1b19GaVzq8IRLGlhsW4fNPFy8K7ukdwheePaDJppjJk0spj7UiRnXy4EIuVsyFOBUzJpICjg0lZXt87u0dwhevv/RsWx2fyBrjbWIWK3NkPXYo973b9/RJxuVa5FirDbIjTnbST1HX/Y+cfkyllPuta9VBq2XciMw5GYuY0Qklu1FK8aedcLGb2ILeoMXp8lFyBuTtofGiXkm5aDX0Wg2UW4mhU3h5MZ4QQvRiNCG328dZ6UusDLCN+gArJj6YKBCz6NFbrTI7OjmNpJDGhh096O5sLeonOzohAKg1NN5CfTu/vhpXLpjtiPwHPZ4lJEio2SuliU+j8UpiYlrW7m3Y0YPv3X5V3vsnp2dkFwWdsimlksdaEaO60ffaSpyIGQfHBIxMKN8HITWDhRc0WPadTsB4m5jByhxZjx3Kfa9UXL4gGsGFjTWWybFdcbKTfoq67m/k9KOqolzxc1p10A4Z1ytzTscidulEqcSfdsLFbmILeoMWN8qiSBmQujFB8TN6gi0tBsrviSEhhJQSRhNyu32c1b7E7QDbqokPt38H8Td69FarzIrvSwppyRLpqy+/0MyQ83BS/hnPEuIf1OxVo0xPbDPxSn11pazdA4r9Om2Kc1gRozp9cMEO7PaZo5PTli0qeA3G28QoVubIeuxQ4XsL/dOLG6+2VKaD4tOo6/5FTj96jlvTXssuGdcjc27EItQJb6IcbQWAl19+GR//+MdxwQUXoKysDDt37nR7SCWBGLRIIWUwxRIQhZ8xWxYlkRRwZGAMPf3DOHJqDImk8mK23nGbJQiJISGElApGfYRdPk7ErC/R6yvtxmlfTEguoj4cHRzHlz62EA99Ygki4VD2dSm91SqzQZVtxrOE+Ac1OzQ/GjEUryjFEnptH22Kc1gRo+p5vl6LOZ2ivroyu6ggRZePYwBCjGJVjpxICpjJZPD42mXYvu79WL8yXhS75+oX531JqSEn89v39OHOlW1Fr33o0mY89IklGBwTNPlrL8h4UPNsop/An+weHx/HZZddhltvvRU333yz28MpGYz0L7C6BMSJkYminhEr2mJ4+OaluKCxxrJxm8GNE+2EEEKMYcZH2Fn6y4wvMeIr7YZ9wYhbyOnDjzZ0YXRCQG2VtN7q6XcfRNlmPEuIf1CzQ3MNxCtqsYRe20eb4ixmY1Stz9eLMadTxOrC+P3JUdza0QogvzdwZzyKh1Yv8W0MQIgZzNofKbvSEY9i65p2bNjRg2Xzm4r8DOd9SakhJ/PL5jdhwexIng7W11QiHCrH3c8c0OyvvSDjQc2ziX7KMplMxu1BOEVZWRmeffZZ3HTTTZo/Mzo6ioaGBiQSCdTX19s3uICSSAqu9PRIJAWs39Ej2TNiRVsM29a0q+5Md2rcJ0YmFCcbiDGou4T4Ez/orlu+TQkjvsSsr7QbL95nIo0f9FYNK/RBq8wGUbYZz/qTIOguMYZVdkiP7dTznbQpynhRd5Wer9djTic4MTKBe587iPfNrUf7vEZMpWbQWFOJ+dEILmyKuD084hBe1F2/omRXutpieODGxWiMVMraFs77Eq0ERW+1yLxRf+0VGQ9ink30EfiT3XqZmprC1NRU9t+jo6Mujsb/uNW/YHBMkDTMAPDy4UEMjgmK45Iat2gwR8/tdIrVWvPb7DztV0pQdwnxJ37UXS/25jHiS8z6Sims9JVevM/kLH7UWzWs0Ac1mS3Uj9ZYbWBknPGsPwii7hJjWOVj9dhO8TtFW3h0cBz1NYJkrECbko8fdFdJpuyIOd3CaKx7QWMNvnbLZZTpEsMPuutXlOzK7sODSM1kdM/7qmFG/+nT/ENQ9VaLzBv1116Rcb35uFVrO8Q7cLG7gIceegj33Xef28MgJhmdnFZ8/YzK64XYXXKLE/rmoe4S4k+ou9ah15f4zVcS7xBEvbVaHwopBf1gPOt9gqi7xF302k49tpA25V38rrt2+1inMOvLKdOlh99118s4bVeo/6VDKeutGb3yuoyXQj5OgHK3B+A1Nm3ahEQikf3v+PHjbg+JSJBICjgyMIae/mEcOTWGRFLIe72+ulLx87NUXi/8rkJjCJzd0XT30/uLvjvIqN13N6HuEuJPqLvuYZWvTCQFHBscx13//ltHfKWXfVGpEES9tTJ2LMSLsWTQ9Sjov88oQdRdYj9K+qTHdrppC/1uE/yuu3b6WKdw25f7XYbdwAv3zO+662WctCt69N8LchcE3LyPpay3QfDXUljhw7XIJPXffXiyu4CqqipUVVW5PQyigJadOLG6MFa0xfJ6ReS+N1anfadRkEpumcHrO6Cou4T4E+que1jhK0XfsG75AuzuHZJ8j5W+0uu+qFQIot5aGTsW4rVYMuh6FPTfZ4Yg6i6xFzV90mM73bKFQbAJftddO32sU7jpy4Mgw07jlXvmd931Mk7aFa367xW58ztu38dS1tsg+GspzPpwLTLpttySs/BkN/EVWnfiNETCePjmpVjRFst734q2GB65eammJETcjTM0rrwLxy8lt8zg9i5mQggh1mPWV+b6hqnUjOJ7rfCV9EXETqyIHeXwUvnWoJ9MoZ0gxDq06JOa7QSQtSOnVfTPDltIm+AN7PSxTuGWLzcjw37041ZAvS8NnLQrWvTfbrkrFX2m/rqLH/21Ft0w48O1yCTl1jsE/mT32NgYent7s//u6+vDb37zG8yePRstLS0ujowYQc9OnAsaa7BtTTsGxwScmZzGrOpKxOq09Y/I3Y3z+Npliu/1awkPPXjtRBIhhBBrMOMrc31DVYXy/kkrfCV9EbEbM/qghJfKwQX9ZArtBCHWoVWf5GxnUkhj/Y6e7DXcyKtpE7yDXT7WKdzy5UZl2K9+3Aqo96WDU3ZFi/7bKXelpM/UX/fxk7/WqhtmfLgWmQRAufUIgV/sfvXVV3Httddm/71x40YAwNq1a/Hkk0+6NCpiFL07cRoi+o1x4W6cnuMj6IhHsVeiPKufS3jowcgOqERSwOCYgNHJadTXVCJW603HSAghpYScbTZin3N9gxO+0kunY0lwMaoPSnipHJwVJ1O2rWn3bEwXJDvBWJq4jR59KrSdiaSAzxfYETfy6tzfEAmH0N3ZivZ5jZhKzaC6MoSZTMby7yTy2OFjncItX250LsaMH/e7/wlSLEDUccKuaNH/o4PjitcwKndei8vttg/UX2/gB3+tRzeUdPhDlzajrroCRwbGJOVai0yqRZOUW+cI/GL3NddcgwwTGF+h5Did2E1buGNn+54+bF3TDgB5iblbJTzcSDz03vdS2nVICCF+wWrbnOsb5HxlRzyK+29cbImfmh0J4/G1y7IT1K/3D2P7nj4khTQA4zGA3yf0iPcRy8Hd/fT+vATbiViyUL5n14bxDx9qw+ILGiR1ye6TKXbjpVP0ZmAsTZzCrtxbyo6YyauN+mrxN0TCIWxd044n9vbh0V3vVv7rOvfd1Cuihlu+3IgemvHjcv7nkZuXIhIOWRIz2x17ByUWIN5Bi/7XVyuXKTYqd2b02Qpdy71GbbgCr/UP48svvJnNwa2OT6m/RCunxwWsW74An//I+zA2mcas6gq8MzqJu87paa5uyOnwhy5txuZVC/G5f/utbN5lhUxSbp0j8IvdxHsoOVu1iR0ndtMW7thJCmls2NGD7s5WdHe0YlZ1JaK1Yd0lPKwIMtya+NJz372265AQQog9trmuugIfvLQZl8ytR/u8RgjpGWz80Ptw10fKcHpMQF11BX7+1imMTggAak2N/8TIBL608yB29747/o54FFvXtGPDjh4sm99kKAbgghJxCqfKwYnx5tjUNBpqwthcoDddbTHccc3FuO2pV7OTVKIu/b+v9KMiVIahsSnF7/DyznQvnaI3CmNpYiVu5d5Sp2By8+ovXH8pxqfSqK+pQFMkjDn11bLXMuOrxd+wdF4jntjbV3SqfDf1iujAiC83Ow9kRA+NnoyU8z+vHhvGsdNJfGNXb15MYSRmdiL2DkIsQKzHrC6q6b/VcieOd2hceRFdTp+t0DWpa+Tm4EkhbXl8Sv0tbdT0VHw9KUxjVnUY2wtiu854FN+9/c/x6e/8skg3pHS4rrqiaKEbyM+7tMok5dYblGV47FmR0dFRNDQ0IJFIoL6+3u3h+B4lZ1sbDuX19MplRVss6zhPjEzI7qaba0FwfGRgDNd9/SXJMmev9w/jE+0X4qLz6nRd04ogI5EUNN0fu9B638X7J8eLG6/Gxc367p8RqLuE+BPqrj1YbZtPjEzgKz98Exuuey/uf+GNogRj86pF+PR3fonBMUH12loSGjn/1xGPYtXSC3DNe8/THQO47VeDBPXWG+TGm+tXxtHTPyxZLrgjHkV7S1Pe6cbOeBSf/8gl+OS3f4nv/PUyfOo7v5L9HiOxnJMVFOzOFezGyViauhts3Mi9RV0/nRRwZjJVVIVF5PG1y3DbU6/mjUkqL7bCV58YmcDbg+OW2zU3oe76A6sWduUWnO5c2Yb5syNFumjUj8h9Timm0BMzJ5IC1n+vJ2/B3Mh1tODVWIC66w5ObXC2Su5yx5vrL6WQ0mcjvrMwVq+rkl4EBKRzCSv9qNf0l3rrDGp6WqgXhQvdIp3xKG7taMWCaK2qTGr1l1pk0mtyW6rwZDexBakJLQCKpxQ2r1qoqTSL3SdjYnVhfOjSZvzllS1FZc4641F8ctk8Xdez6nSG2yUltd539lchhBDvYaVtFv3aZfMaixa6AWBP7xDuf+ENfPLKFuw/PqK4i1XLxIOS/9vbO4QtH19kKHlQ86t/HJnA4LjAsubEEuxe7C2MN9vnNebFsLns7R1Cd0dr3t/29A6he0xAUkhj39EhdMaj2GNRX12nKyg4dYreLhhLEyNITVI7nXtrOQEm/q3n+EjRmKTyYity4Asaa/CnxITie6hXxGqsrNJRGw7h+iVzsW75AkylZlBVUY6e4yPofvLXWDa/qehaRk9GyvkfpZhCz1zUn0YnJRe69V5HC36PBYh1OFkxR0nutOYChePtOT6CjnhUdrOJlD7r9Z1S/vt7t1+lmIMX5hJW+lHqb+mhpqdfveWyvNeb66skdQI4m9du+uilWd1Q0j21vGtk4mxlBS0ySbn1BlzsJpYjN6H1xY9dquhsRya0T+w0ROwzFg2RMLbcsAiff3q/5AT+F549IBsMSRnQoXFrFqm9MPGl5b6zvwohhHgPNdtcXRlCT/+wpkU4MXlet3yB4mLaZ6+J49NXtij2ENMy8aDm/8anUoqvy6F23beHkrjju6+zrDkxjROLvYWTWlOpGcX3S70+OX12IUrsq1tWVibZs1NvGx83SnLbmSsA9m5eYCxN9KJ3ktqO3LtQ13OrpAHA/++2q/Cz3w/gzRMJfOqq+diwo6doTFJ5sVU5cEON8vipV8RqrDysMDgmYNMzBzRfy2h/cTn/oxZTaNHDRFLAH4ad3XRidyxA/IHTB4ek5E5PLlA4XjEuB5A3Ry2nz4nk2eoqSuTqmlysrhYnFNoFq/0o9be0UNPT4YK1lbHJtOR7RcaFVLZCkZLuqeVdU9MzSCSFrDyqySTl1n242E0sRWlCa61KYFsbDim+7mQCOjk9I7tDSC4YkjOg996wCJFwqKh0m0hhQC83eebWxJfeyTz2VyGEEO8g2vB0JoOutphkAtEZj+KFAyezC9dqi3DixLPaxFd1ZUjxxHVhQlPYPuTk6CQA+xZ+1K5bVVEOgH1yiTmcWuwtXBAS5VcOqdfFv4l9dZ/7bAfKy8pM7UzXO8HoZLlzo9i9eUGsMvW+ufVF7ZR+f3KUsTTJw+gktdW5d66uR8IhbF3TXlQlrasthv/vh9+H25/6dTY3zvX9Q+MCcGosT+/VfHVtVQWODIyp2gzmqMRprDysUHitwphZSKWzk/EiRk6Y1VVXSFZ2UYsptNiLwTHlxTet17EKP8QbxBrcPjikNxcoHK8Yl3d3tuJvOi/C+Q3V5/6eQnI6X/fFGHXd8gWKY8rVNblYXU8uYbUfpX6WHmp+7sxk/gGHumrlOLY2XIE/nE7iof84hMvmNWYro4g51b3PHcTXbrkMsbqw7DxZRzyKfUeHMKe+mvLnI7jYTSxFaUJLjdpwhWcSUL3BkFLwsuUHb6C7s1X29FtukKE0eeZGgm5kMk9uF3HXuYX/oXEh+z5CCCH2kWvDxYnnTCaTN4HVGY9iXUdr3gkrtUU4ceJZLQFuqFGesMr1tXIT4yvaYnjoE0ts8X9KflWqxKrd7UJIMHHqNEnhgpBSycNC+Zb6W1JIo7yszHTvPT0xtd2LyFZMnDmxeaEhEsbmVQux6dkDRe2UHly9hHaI5GF0ktrq3DtX17s7W/GERB/F3YcHMZPJ4JNXtuDRXb2Kvl/UeyVf3dUWw6vHhvNOvBbaDFHvx6amcf+Ni3HPcwd1nXQlxChWbtbMvZYWvRFROmEm5RPHp1L43H+7BMDv8vKFd0Yn0RWPyfba1mIvRienFWOTLgfn/Jxur0Lcxe2KOXpzAanxJoU0tu/pw+VrGvGVH76J3QUnvB++eSlqw6GsXF82r1Fz6XO5WF1rLmG1H6V+liZqfu7xtcvy3j8wOiXbdqszHsWfRifx8H/+Dv/zv70Pj/zn7/L8Zce5nt5D4wIuOq8OW25YhHueO5gn6+J7NuzowQcvabb65+bBzR3WopwBEaITpQmtnuMj6GqLSb62oi2GxkglHr55KVYUvMeNBFRvMKQUvOw+PIjlF0UlX8sNMtQmzwA4en/UxpNQKIsj7iJ+cePVePpvP4Dv3X4VLpvXiI9v24OV//QS7tzRgxMjyif9CSGEGKfQhos7wi9vacL3br8K37v9Kjx/Zwcub2nK66MpIibeUogTz2ICLIWWia9cXys3MS5uGntw9RLL/Z+4OavwumJis31PX97f2c+TGMGp0ySiXops39OHWztai3S0qy2GO1e25cm3lMxbtZFSa0xtJu7UwomRCazf0YPrvv4SVj+2D9cZjEe1TFiaJZEU8MWdByXbKX1p50HT94IEC7VJainsyL1zdb19XqNslbS9vUPZ0uZKvl/UezlfvaIths9eG8eXX3hT9rO5en/jN/bh+q278dElc/Hjv+/CzjuW48WNV2PbmnbFKjSEGKXQL+ei18fmXkuL3qgh5xNPjwsYGRdweUsTHl+7DI99+go8vnYZTo1N4dbOBUU2RY+9qK+ulI1NOuJRfPnGxY7M+dkdbxDvYaUuGkFvLiA3XlH3d8vo/sCZqaxcy+malM7KxeriNbrixf73KzctwYcvbbbcj1I/Sxc1P1cY19719H5sXrUInQUy3hmP4p6PL8rK0ZnJVJG/3Ns7hCf29iE9kwEAlAFoL/B77TnzZHZuiLEqRyXvwpPdxFKUJrS27+nDjzZ0Ke6mbohAd6klO9B7iloteKmqLC+6XmGQoWXy7OLmOsfuj9mTSOJrW55/w/E+jYQQUupI2fCkkMaju3rx6K5ePL52GUYmpmWrjgDyi3DixPO9zx3ErR2tALT1Dysk19e2z2uUHctPDg1g0/WX2uL/cks8DicFJCbOnjqR2gDAfp7ECE6dJimsrCNucNm8aiHuWbUQE+cSdTGGfX59J85MTqMmHMLr/fkyb+VGSq0xtZ0n4K08je3E5gWne0sSf6M0Sb11TTvKy8qKTkfZkXvn6rpamxMRJd+fK+tS5Zgrysvw0a27JVuFvXx4EANnpnD/C2/m/fakkMamZw5gRVuMeSixHaN9s9WupVVv5FDyiZ+5+mIkp9OS1xdLyn7x+kshpGZ024tYXRjL5jdlyzF3d7RiKjWDqopyDJyZQlPEmTibPrb0sFIXjaA3F5Ab7/KLooq6n9u+JLf0uahrC6IRXNhYU/R75WL1pJDG9351DOs6FuBvr7kY1ZUhNNTk6n2tlp+vC+pn6aLm5wp71w+OCfj0d36JRz91Bb7wsYVIJKdRVx3CwOgUPvWvv8xuQE7ItPXZ2zuUXeyO1oax//iIpH7ZuSHGqXZnpQYXu4mlKE1oLZvfhKZIpWpCrVRqSQ6rSz7oDYbUgpfGmrDq79Y6eWbk/hjBisk8BiqEEOIOaja8tqoC580y3q/zgsYafO2WyzA0LmDLxxchPZNBUkgXJMDK5PpatYnx0YlpXHRenS0+Q/SriaSAO3f0eKKdCgkOTrah0dOfM/dv59dX46rW2UjPZM7pcnEPQKNojantXES2Mh51YvOC270lib9QmqT+/iv9+Notl2FsMqUp9xZz6qOD47pz6lxdVyuh3jI7ghc3Xp1tbyVHrqwX5sA9/cOSC90iiYlp5qHEFXLnphpqKvFVFR3Uiujj3xoYU3yfmo9Q8on7jg7JViUUN82uvvxCLLygQdugc8i1EYXl152s5EgfW5oUxsi1VRUIh8oxcGYSyem0rWWDjeQCUjF9YkLZZ9aG83N7UWdFXtx4tWxO8PDNS4sW3TriUXzqqvm489yG2Bc3Xm26vZEa1M/SJNdvbl61UHKBOncDR+6mK6XNj4ByWx/xM25tiOGaiT1wsZtYilYDYaWy2tXPQ8+EoZbgRW2R2u0+MoVYMR4GKoQQ4g5qNnx8KoU9vYOae3lJYcXmK9HXnkxMKr7PCR/o9q5/EkyclisjetkQCWNcSNvWH09LTG1nHGxlPOrE5gWv5QTE2yjZmPtvXIw59dWYU69+HStyalHXR5LT6GqLSU7grWiLoXlW1Vn9V1m0U5J1NT2JhJU39DEPJXagpEdWLBI1RMKYreLj1XyEkk/cvqcPt/zZe2T7oJr1c3rm2OyCPrZ0EWNkp3tCG80FCmP6Iyo+szZcYThGvaCxBptXLcTx08lsxYXCamdO+E3qZ+khpY/fu/0qyfdKbbpKJAUsm98kKfdd51rvydFQ8648ueGfuGZiD1zsJpbjpIGwu+SD1glDKyYyY3VhPPSJJWieVYWp1AyqK0N4vX8Y2/f0Ydn8JsdPlFkxmcdAhRBC3CHXhotlB9vnNWIqNYPGSCUmhDT+31f68fDNSwEYK0NuFeL3OHX6VQkvTMKR4FEbDmHzqoUYmZhGXTiESLgCjZFKz8iVEyXU1GJqOxeRrYxHndi84GQ1ABIMzPouK22AqOuPyOjJP56LO44MjCExIWDH31yFvUeGsH1PX96pHDVZV9OT2rDyVBfzUO9jdfU+u3GqHKlZH6HkE5NCGjMzGTz8iaXY9OwB2RYIZnCqUqEc9LGlTSIp4KW3TmHd8gVYc2VL3ryrnWWDrcgx1WS3MVJpKkYNlZXhtqdelX3dCb9J/Swt5PzmvqNDmjddKeVmD65egvuef0Pyu6XkyWn/VOiPC+ftqsMhSyqtlRpc7Ca2oNVAmE1gvFTywWzwMi6k8aP9J7G7N79szPZ178eC2RHHjZtVC/gMVAghRB67JvJEG37vcwfxl1e24Im9fXllzDri0ayN/+SVLejuaEVdVQVm14bfPXHlIF46Ve32JBwJFkqnRxoiZ//t9oS+F+JpO22A1fGo3ZtivGQPif/IAECZvs/YYQPk9GRcSGP9jp687+uMR7F1TXv2BJkWWVfTk0g4xDzUw6j5PadPXlqBU77UrI9Q84mzzz2LRwO6+ZM+1j3cjncBYDg5jRf2n8jb6N2R44PsjHnN5phaZLchAsMxqhfmb6mfzuAFXQTk/abYn7usrEzTpiul3Oy+GxdjKuVNeSo8oLJ1TXvRvJ3XYx8vUpbJZDJuD8LLjI6OoqGhAYlEAvX1Gup/Ec1YkcD09A9j9WP7ZF/fecdyXN7SZHqsdpNICkVJv8iKtphtuwu1IDpBo0nOiZEJ2UBlro3GmrpLiD8pJd11YiLvndFJfO7//ga7JXbFdsSjaG9pygbTT//tB/Bn82db8r1GMetziDuUkt7qQUt8Z2f5cK14KZ62ywa4FY+awQl7SN0NBmbjCadsgJJN7GqL4Z5VC1FeVqb7VLqcnvhR77XiZ91Vk1cvz40o4bQvNeMjgqwbWnEr5/Cz7prBCxtYEkkB67/3umJe/MFLmj0/h2yn7HrFNnhtTiBIeusFXRRR8puRcAjPfbYD5WVlpuXAa/KUi6hzS+c1oqd/WLbFoFdjHy/Ck90EgPO7eqwq8RSUMtleOFEjh9ndhywJSwghxThV6nBsMiWZ0ANnS5d3d7Rm/91Y475dlvM5Xtl9TPyPk7KkFt8NnJnC/S+8absdUMNL8bRdlRX8GI+yykRpotdGWRFPOGUDlGzi7sODKC8r093XWElP/Kj3QUeLvHp1bkRNN532pWZ8BHWDPtZJtPopu2P0wTFBNS/2wxyynbLrFdtA/bQHp+agcr/PqN9MCmlDcaEUXpYnUedOJibzTnTn4va6kN/gYjdxZVePVQmMF8qsWMHo5LTi62dUXrcSOwJMLzsWQghxA6cm8tT8y1RqBoC3faaZOIWL5CQXp2NeNf1LTEx7YkLfbDztFz1jPEq8jhEbZUU84VROrTfntcK2UO+9hRZ59dLciIgW3fTb3FSQdMMvcUipokXvnah0pGZbAHhOT93ADttAHfUGTm4mM+s3P3RpM+qqK3BkYCzwctMQCePo4Ljie9yIffwKF7tLHKd39YjoSWCUnGJQ+nl45USNlDPqaothyw2LUAYgGlDHQgghVqOW0Nk9kSd+f1VFueL7qirKPe0zzcQpXirRRdzHjZhXLb6LhEOKrzuV1JqJp81uRhlJTmNcSGFcSKOxphLNs6o8aYsIsRujNkoqnoiEQ+jubEX7vEYMjQvAqTHFCUKncmo9Oa9cXvrQ6iV4z+yIJeMhzqMl/vXK3IiIVt0s1CNRD5dfFEVVRTkGxwUA0K1PXCRShvG+99Gy+XPL82/YEqPn6k9NOIT1K+PYvqcPSSFd9N73NNV4Urf8bgOoo97Bqc1kevzmIzcvxc/fOoXmWVWYSs2gujKEobEp/HnrbHzu337rC7mxQke9Fvv4GS52lzhulYjSqsRyTvH+GxcjMSGgrvqsEdm2pr1oskxtAtFLeGEXsJwz2n14EPc8dxDtLU3Yf3zEk46FEELcRgxwx6am0VATxuadB7G7Vz4wtzOYzfWd61fG0RGPSvb+6WqLIX5eneEJBCcSb6Nxilub+Yh3cSPmVYvvasPKqZgeO2BWHy9orMFXb7kMw+MCRidTqK+pQFMkjDn11YrfaVTPTo5M4NjpJLbtOpxnn7rOLa4x1iSlhlEbVRhPRMIhbF3Tjif29uWVQ5RaKC60G1+95TKMT6UwOmFP6VKtOa9SXnr3M/vxyM1LcWETF7z9iJb41865ESO+Uo9u1oZD2LxqIUYnpzE7EsY9zx3M00O9E/VcJFKG8b4/0LL5U0nHhs5tFNGru5KbpuIx7PxsB/7j4El866Wj2UXvFW0xnK8Q87qF320AddRe9Po0L7StKfSbGQA/2n8yb+6sqy2GebMjeO3YcNFn3ZQbqfudFNL4vAU66oV1oaDAxe4Sx60SUVqUWMkpfnHnAbS3NOHRXb340KXN2LxqIb703EHfBgByu+m7zi3sO4GSMxL71zy6q5cBCSGEFFC4uNzTP1y0uFwYmNsVzBb6zu17+rB1TTsA5I1JPK0116CPNJt4a03MjMYpXu33SNzDjZhX7bRkJByyxA5o0Uc1nXOyfHIiKeDnb53CC/tPFNnK3Zz8IiWKURtVGE90d7biib190rqVs1CspPMXnWe+P2IhiaSAoXEB996wCFt+8EbR9+aeIFeyLXt6h3BsKIm6qgraCB+iJf61q9KA0dhVq24ayQeUsGKRyO8nQtVgvO8P1PS+vLxM9rORcAgZAOt39OjSXdlNU72DuO/5N/CxJXOxdU07NuzowbL5TZ6scqZkA+56ej82r1qIUHmZp/WaOmofRnya19rWZGW8t0BPDw9iJpNBd2drUR9rt+RG7n7fcW3ckkV5L1Uu9nvswMXuEsetMglalPjIwJjq4isAvG9uPTY9e8BUImEGq4zABY012LamHX8ancQfhicAAD3HR3D91t1YNr/J9oV7rX1dGZAQQsi7FCah7fMaiwJykVz7aVcwW5hQJoU0NuzoQXdnK7o7WtFQU4mmc4vtZsrBmZl805OYGY1T0pkMHl+7LFsK6/X+4bySdex5VHq4FfOK8d3gmIDxc5UfhPQM/jQ6ifqaSjz0iSXY8oM38JNDA9nP6LEDWvRRrQ+ileWTc1HajNI8q0qy4oT4vYw1Salh1EYVxhNKcYi4UFwRKjek80bz3ly/L5Z2/turL0ZVZTkaa4pjEjXbMjIxTRvhU7TGv7m+88yk+UoDZmJXLbppNB9Qwuwikah3rx0bzrY1eHtwHPOaIphTH4yWIV7s706KUdP7ienikuIi3Z2t2PLcQezWOd+r5TDPk/vexn9s6EJjpNIT+lDoYyvKyooW0UR2Hx7E8dNJ3PbUq54+6EUdtQejPk2rDza7zqE1ptWip1I4LTdK9ztt4aK81bGPEfxeTQLgYnfJ42aZBDUl1rr4akUiYRQ7jMADPzyk2WFZudtGzRnl9n1lQEIIIWcpDNBF3yRHrv20I5iV8p1JIZ31kzvvWI6Lm82d2DIz+aY3MSuMU3L7kALATCaDRDL/+06MTODLz7+RNynSEY9md+8nhTR7HpUgbsa84gYXubjxwdVLsOn6Sw2VDlbTx4EzU7j/hTcVdc6q8smFyOnZ6OS0LltJSClgxkblxhNiuVc5RiamMTyuX+eN5r25fj/Xh49MTKOprBJ11cUntLXkpbQR/kVr/Cv6TiswE7tq0U0z+YAcZhaJRL177diwZFsDJyaunTgZxh6n/kFJ7xNJQVbHll8UNTTfq2U+effhQaRmMp5Y6JYsud4Wy8tfC8k9kGTHQS/2IfYuZnyamg+2Yp1Da0yrdd2nEKflRm1R/rbOiyRfMxKrWhn76CUobQe42F3iuF0mQUmJtS6+ujVZZocR0OOwrF5oV3JGHfEoeo6PZP/NgIQQQs5SGKDnbgySotB+Wh3MOpFQmpl805uY5cYpr2qYsHu3FFb+7n/xBGl3Zyv2Hx/RvLDp9xJO5F3cjnmV4sYvPHsA29a0GyodrKaPiYlp2VMhos6pn6KUXjwzujhXX12J0yoLcow1Salhxkbl+yrlKZ6qinKMTqYU31Pox83kvaLfV+ol/khB/hqrC6OrLSYZL4h56erLL1T8DcTbOD2ZayZ21aKbRwfH8z6jNx+QwkxML+rd+pVxybYGdk9cy81ViS1crIqt2ePUX8jpvZKOqemSnO5qnU/2wsYp2ZLr50o5/48VFyE1k0H7vMa8qmWRylD2vVYf9LJqvpk6ag9mT8zL6aJV6xxaY1o9h+5yr2FEbszM66jd70g4hEg4VLQpxW/5bFDaDnCxm3iiTIIUWpJcwJpEwgh2GAHdfS0sXGiXc0Yd8Shu7WjFhh09ABiQEEJILoUBes/xEXTEo5LleZ2wn04klGYm34wkZmKcMpKcxpd2KrctUdt1+9lr4vj0lS26y66K+K2EE8nHzZjXruRRTR+F1IziqZAzk9Oq15ianimqoAAYX5yL1YXxytunXbWVhHgRIzaq0FetXxlHVzxW1P8QeDeHXrVkruI4Cv24Gfsl+n3FXuIF+WtDJIyHVi/B3c/sx56CKi23drTi+6/0I9YpXdqSECnMbgZV00078gEzMb2od25UQZSbq3r12DCOnU7iG7t68+yTmdja7Y2MxDrkdGxwzNjmSK2HebywGKWWv9790Uvw8H/8Lk+XO+NRfPDSOXkLbFYt3Fs530wdtQe7DjhYma9qiWmV9LSrLYaBM1N5fzMqN2bnddTud3qmuJS5H/PZoLQd4GI3AeBumQQlPnttHDOZTF6SULj42nN8BJ3xaF4iLGKncTFiBNR2ElnR18JM0pLrjEYmBExNz2Df0aHsBCkDEkIIyacwQN++pw9b17QDQJ7vcrJiit0JpZnJNzM9SQfHhKIT2yKi70vInEAVqa4MYa6GhCYoJZxIMXbFvGoxnl3Jo9pk3r6jQ+jpH5bsJQYgO/GgtMF039EhzKmvlrxvRhbnGiJhXPPe89AaqwWQbyu7GGuSEkePjZLyVdv39OF7f/PnyCAju1D83/98vi4/rma/hpOC5IYY4F2/r3fR7T2zI3jk5qU4NpTEyMQ0qirK0XN8BN9/pR/337iYNoLoworNoEq6aUc+IBfTd7XFcP+NixU/K+qdG1UQ5eaqujtbsW3XYctPmXv18A7Rj5yOGdFdLYd57Jwv1nOKVM3HDoxOFenNnt4hZPC7vPjeqoV7q+ebqaPWY9cBB6vzVbWYVm3uKhIO4coFsw3JjaiD6UymqMUdoM/3qOXKvzg6lG2zlzt+v8l4UNoOcLGbeJbBMQHdT/4a3Z2t6O5ohZCewXuaanDgD4m80ym/PzmKB1cvwZd2HlSd2Heyx3WhEdCyk8iqvhZmkpZcZ5RICphTX40PXtKsy7Gw7CshpFQoDNCTQhobdvRg86qFuGfVQkyc6w+daz/ttpF2J5RmFtStOKUih7hJS4lIVUh2Qj6XoJRwIs6gJcazK3kU9bHw+3Mn85JCGt0dxacgRZ1riISx5YZFuOe5g7IbTD94SbPk9xu1Z3MbaxAJh/DgTUswLqSQFNJoqKlE86wqXbrFmJOUMlK+KimkcftTv8b2de/HHZMpyYXiOfXVeHD1Emx69oBkmeFCHVKzX4mJady5o0fyhIzo940sul3YFEFFqBzD4wJGJ1NYtXQu/vufz8ec+mrFaxFSiN2bQY3kAyJKfkyM6f80Ook/DE8AOHvY4/qtu7FsfpPsqTRR79yogigXr9t1ypxxQLAxo7ty+rNhRw+WzW+S/LwV8qT3FKmaj5Vjb+9QNr63cuHejvnmog3AZcV/J9qxy6e5sdipNndl5Lfk6uDja5epHphQ+w4tufL/6b4SO+9Yrmnuzat+KyhtB7jYTTRhRhH1fDb3vamZDJJCOi8gjoRDZ3eErmnHrOpKRGvDWSOiNrHvZI/rQiOg9YSYVX0trHJARk4/Fd7nSDiEzasW4oqWRiSFtKcMOSGEWIGexWWnSmMbsd96/HXhb66tqkA4VI6BM5NITqdlP1vo5yLhEP7HiotwzfuaMZ2awR9HJjAyMY3Gmkrdk+1iNRK5spEd8She2H8S+4+PqN7voJRwIu9iVyyrNcazM3m8oLEGm1ctxPHTSUylZrILW3Kly8XvzI0tywC0tzShu6NV8hpSsaVoz147dvbkePu8Rrw9OI55TRHMqVdftDZ7yj7orQa8OhFCzCP3bNWeeeHrctVMBscEfPLbv8Rzn+3AnPpqnJmcxurLL0SssxUNkTBOjExgy/Nv4LJ5jVi3fAGmUjNorKnE/GhEsvqJlnKwcidkRL//dkFP40K02pg/Dk8gkZzWZGOIt3Dbptm1GVT8XWNT0/jyTYshpGYwPpUy1IYAkPZjD/zwkK5qQ6LevfTWKdVy6lY/F7l43Y5T5lrvn9uyF2SsvrdS1zOju2KseX59NQbHBERrw2f9ocTnrYgrE0kBL711CuuWL8CaK1uy/bW37+mT1Ve1Us5iyXUpplIzlp8itWO+We7eiqd3qZ/6scOnKZ1g7rJxsVMtJ3xndDK78bG+pgJNkbDsxsfC3FzO94jrS1OpNHr6h1FfU4m6qgqMT6WQmCiWRbVcuSkSxsXNdaq/1cv5qxNVIp2Ai91EFTOKqOezhe99fO2youvlLn6/uPHqPEOiZByd7HEtZQT0nBAz29fCzd02hfc5Eg5h65p2PLG3D5ueOZA3Ri8YckIIsQotizZeLo1txNeLv1nvZ0U/NzR+dpL+3ucO4l9+ejj7ekc8ijtXtmH+7PxJd7WJgH1Hh2TLRhaeclW730Ep4UTOYmcsqzXGszt5DJWV4banXpV9vWV2BC9uvFo2tozWhrH/+IjkqSup2FK0Z68dG87GeoV9yuyM9bxsT63AyxMhxBxyz/aBmxbj/hfexE8PDeT9XXzmUp/73u1XyX5PUkijvKysaOItV3dyv0v8PqWFM6VysID8CZkLGmsQKi+TnUD1oo0h1uIVm2Z2k1UhZn6XVj9mtNrQBY01uH7x+fjARVFsfu6g5CJTUkjj8xY/F7l43epT5lrvn1dkL4hYfW/VrmdGd9V036q4cjg5jRf2nyjKQ7euaceGHT2S+qqUI9x/42Jcv3W37PddFKu1POa1er5Z7t6+emwYx04n8Y1dvdjdS/00gtU+DZBvJ/vZa+OWfo9W+ofGsenZA3nj6YxH8eDqJWiJ1ha9v9BnSvme3LWK3NiyMx7Fupw5o1xZ1JsrS+GH/DUIbQeUow1S8qgpYiIp3xtTz2el3ttzfAQd8ajktfU6WC0JghFEI/Dixqux847leHHj1di2pr1oR7zeE2IN53YEXd7ShIub62SDoRVtsby/u73bpvA+d3e24om9fbJ9mZTkhxBCgoZdvsgsTvn6XBoiYURrw7j3ueL+SXt7h7Bt12H8/K1TeZ9X8n1bbliE7Xv6smUj21ua8PydHXjs01fg8bXL0N7SlHfKVe1+i0m+FH4q4UTsl289MZ7WuNEIajLbPKvK0thStGduxXpetadWYEZmibdRerZfePYALplbX/T3u5/ej3dGJyU/t+/oEDp15stGdUe0Xz/a0CnrWwH505lz6qvxiI9sDLGOoNo0s79Lqy6aqTbUEAljQawWj0rEHpFwqGihW8/4lb5TKp4YODOFLgtjay33L6iy5wWsvrduPysr4spEUsDmnQeK/NXe3iE8sbcP3Z2tsvoqlyM0RSqxbH6T5GdWtMUwt6Ha8vlfq+eb5e5td2crtu06nLfQDVA/3URsJ9ve0oTH1y7Li/e6n/y14/nVO6OTRQvdwNme9V949gDeGZ0s+kyhz5RaW5KLLffk6CqQL4tW6IVf8le1NSmvw5PdRJZEUsDJxKThnpV6dqBKvVfudJa4u+3toXHUjQuaSpw41eNaDjtOiHlxt03hfbarLxMhhPgRJ0tj6ykpZ6Y/tenP9kp/VuxBVvh5Od83NC5kJ9vFKjAL59bjju++XnRtqZJVhfcnKCWciLqM/nFkAoMy8aQW+dYb49mxA1+8rlmZ1RNbivbMrVgvyK0GzNhV4l3Ucus9vUO49VzvzVxePjyI4XFpmRDz5bKyMk29twHzC2eDY4KkbxVRymv9ZGOIecRYdCqVDqRNM2ur5XSxME6tCYewfmU8u6mzEC1zSVKxx5GBMduei5yuX/3e8yyLrbXasiDKnhdQk/+TiUkcHRzXXJbaitjHTEl1K+LKs7mtdG9gMbdV0le5HMGNnNTK+Wa5e0v/7j1GJ6eL2snm4nR+NTwuSLbhAM7GzcPjQlE584aaSqxfGUf7vEZMpWZQG67ABy+dA+B32Wspyd7e3iHc/dFLsHBufbYNwdD4WVk0qxdBzl+9BBe7iSRi+Zg1V7Yovk9JEfUosdR7xdNZ3Z2t+OL1l0JIzaAmHMLr/SO4fuvubKCvpcSJ2+VI7So7bteEqVEK77MdfZkIIcSvOOWL9JaUMxN02/nZqdSM5OflfF+hn9VTskrq/nhxUxnRj5qcvT2UxB3ffV1SBrTId2us1jOtZayQWa2xpWjP3Ir13I7t7YQTIcFDa24tp0+jkynJv4v58ndvvwp/e/XFqKosR2NNWFHvzeqO2bzWLzaGmCM3Fn3s01covtevz9CsrZbSRaXSqmIZ5NwFbzNxht2+RkrXGyKwLLbWYsvoT+1D7d4eHRzPbozSMmdr9lmZLaluRVyp9hsAGNJXt3JSq+ab5e4t/bv38Fp+JRf/Kr0eDpWjp384z4euvOQ83PWRSzA+lUJVRQjpTEbxusdPT2TtV0c8itXtF2ZfM6MXXru/QYWL3aSI3PIx65YvUHyvkiLqUeLC94q7WcWdOOXlZZjbWIMvPnugqLeYlt4Gbve4LpUTYoX32eq+TIQQ4mec8EVG+gCZCbrt/GxVRblmPyHlZ3uOj6AzHsWenN3AYsmqnv6RvB2/1ZUhvPTWKVy/+PyiE95B8dFBwMiJDS1yBkjrSF2VcqpUW1XhuRjPKZkV7ZlbsZ7bsb2dcCIkWOjJreU2aZ1XF8bja5dl/dXr/cPZU55JIY3T4wJue+pV2Z7buVixWO2EzXPbxhDjFMaiQX2GVmwceegTS9A8qyqr25lMBt/91THJ0qrA2ThWnMA3q3Nu+Rqr4hQr4gC/yp4X0BpfA9rmbM3IYyIp4J7nDuKyeY1Yt3xBnq+897mD+Notl6nKnBXypPYb3tNkvO+4n3NSuXsbVN/gZ7yWX9VXK+fiha8nkoJk2fNdvzsFITWDR25eigubIjgyMKZ43VzZ3Ns7hC0/eAOPWtBPW8rvizH9svlNvs5fvQQXu0kRueVjxN4GUmUj1AydkpHsaouhLsco5b5XbjdrV1sMa5cvwL4jQ0Xlm9RKnHhhIlLvbjwzJXjcovA+m5EfQggJGk74IiMl4NSSmoryMtly32YSIqXPdsSjGDgzJdujTArRzw6NC0jPZJDOZHDNe8/DZ6+dwd4jQ9i+pw/t8xqzZV8L44yOeBQfuCjqeV9bqhg9saEmZz3HR7L/LtSRcKhcNo7piEcRDp1NhHNjvPGpaTTUhCGkZ/Cn0Ukkp9O+iOH0Itqzl946ZWusJxcPeyG2twuvTTQRc2jNrTsL7BFwdqF7+7r3457n3shr+9GRc8qzvaUx+zktZT+tbHkwkpzGuJDCuJBGY00lIuGQ6me14pSNIdZTGIsGdU7ArK0eF9L40f6TebrdFY9hbccC/PLo6aI5rz29Q/jSxxbig5c0S84l6Z0/0jJ+L89JabVl9Kf2oCe+BtT9kxl9GhoX8MkrWyRzu1s7WrMliJVoiITx4Ool2PTsAc1tQfT+hvMLyi2bxcv6mYucrg6cmUJXW0xy7oL66Q5ey6+aasNFhxdEOuNRNNVqb0G2p3cIk9NnqwnotV+7LSqrL+X3O+JRbF/3fiyYHfGk/vqRskxG5ex+iTM6OoqGhgYkEgnU19e7PRxH6OkfxurH9gHIL6NU2Df7kZuXYq5KOZgTIxNFRlIMOL7/Sj/uu3FxdoJSfO/SeY3o6R+WnVhsb2mS7K2w847luLxFeVJcDAa8Xo7UbAketxHv8/jUNOprwrjnuYOSjlJNfsxQirpLSBAoBd210xfl+nAp5HyllL/uaovhs9fG0f3krxVbh0h9Vk+cUOjvOuJR3LmyDQtmR3C+AT8hdc2uthi23LAIp8cFvPTWKdk4o6stZsmu3VLDbr1NJAWs39EjOxmidpJRKR4tLAmaqyO/PT6MU2NCURwsfra5Loyl8/L1ye8xnF4SSQHDyWlsfu6g5OSgmVhPy730S2yvFzN2VQ+l4HPdRktu3RGP4t6PL8LD/3EIu353Kvv3hz6xpGhSLPczH1syF8311Xl2TEtODJjXHadsnZ02xs94WXcLY1Gzc0pexqitVoprjMx5GdVHufH/481LMQP4Ip5Rs2VO+VOteFl39aInvgbU/ZPRZ/XWO2dw3/NvyM4hb/n4IrTNmaX6W+557iAumVufrfzVWFOJ+dEILmyKKH7Wit+gFz/mG1K6Oi6kPaWfcgRJb7Xgpfyqf2gcX3j2QN6Cd2c8igdXL0FLtDbvvXrmwqy2X2qYnc8g2uFitwqlZtAA4MjAGK77+kvZfxeWFL8oVou5DdWalfCd0UkcGRjDyMQ0qirK0XN8JFt2rVChE0kBJxOT+Mj/2i17vcfXLsNtT71a9PcXN16Ni5vrdP5a7xFEA+iGoyxF3SUkCFB3zVHowwtR8pW5trq2qgKvHhvGl194syjQl/JFZux8Iilg4MwUEhPTiIRDqA1XoDFSachPqPnQzasWov90UjKOEAlKPOEkduutGbkWEWV0OCkgMTGdF4/KXevIwBg+/uievDg4N5Z9fn1n3vcGMYbTitWxXinfSxEn4mf6XPtRy63nza7Bj994B//vK/345JUtaJ/XCABomX12cv1D//yy7LX//TMfwF9vfyXPjjnhw9zQTy9NvHoBL+uulM/OlfuGmko0RZR7y/sJI7KpFtfomfMyq49S4wcQKB/sJfvhZd01Qu69ra4M4YUDJyXja0BfvK7nWf3u5KjiHPJ//l0XLpkrf6+t9ml2y1vQYmQv6accQdNbv/HO6CSGxwWMTqZQX12Bptow5khUStA7Z6DHfv3X36/Ae89X3jSjhBXzGUQbLGPuU+wsV1JYziEppPP6Aul1nGOTKXzqO7+SfK2wlE1DJIyjg+OK15tKzRT9LUglToyUoPU6fu4vQ0h/fz8GB6V10iyxWAwtLS22XJuUJmZKwOXa6iMDY9j0zAHJ90n5Ii12XqkcsVU+Qs2HimWnlTgzOW3JWIh1jKo8Ey3PTJSzRFLAnTt6ZNvspDMZHDk1hljt2Yn4ZfOlT1dJ6VMQYzitWB3rlfK9FGH87B3M5N5KuXXhCc5cW/PixqtVbd/Amam8CTmncmI39JP64B+kYlFR7r2yEGPlfJoR2VTTbT1zXmb1UWr8RwbGAuWDaT/sJwOgJhzC/uMjkgtFWv2TkWeVFFIqrxePJxerfZrd8ha0GJn6SaQo9NNzG6pxyVxlOdE7F5Yre32nxtDTPyxpLzriUVSGykz8GmvmM4g2uNjtQ+wuV2J1jwa9Cl1fXan4/saa/NeD0JsvFxpAQrxDf38/LrnkUkxMJG25fk1NBL/73SEueBPLsMqHW+2LnCq1pjbuxISA9zQpf98slTiEOI9abKjnmcnpSGc8irXLF+Cmb+zNVh965OaluvSJMZx18F4Sr2DWf8nZnK62GNYuX4ANO3okP3dmclrV9lVVvLuBy8mcmPpJlPBaz89CvFD+18o5Lzv0kTpOtFCoS5FwCNvXvR8ZwHDfayM01Kj0465R1je/ybvfxkuIXoz6aTPxx9C4gFs7WgFAsn3Z0LiA1vOM/yYr5zOIMlzs9hmJpFCk8MDZ3Vt3P73fsl2yFzTWYNuadktKiehVaLWdOBc31+HFjVd7usSJGWgACfEOg4ODmJhI4qrue1E/d4Gl1x49+TZ+tf0+DA4OcrGbWIoVPtxKX+RU7AKoj7u2qtLU6XfiDlY/s1wdSUxMY3I6jX1Hh/L6c718eBB3nZNPrfrEGM46eC+JF7DKf0n55YryMnx0627ZE2eirVGyffHz6rDzjuWO58TUT6KGlfNJVuJkTKqElXNedugjdZyoIaVLSSGN7id/jc2rFuKeVQsxPpVyRPfN5gl+k3e/jZcQPZj100bjj7qqCvz19lfQ3dmK7o7WvPZlG3b04Jm/XW7qd3EOyjm42O0znCxXYlUpESNlJOR2v99/42JUV5RjToD7GNAAEuI96ucuwOyW97k9DEI0Y9aHW+mLrIhdtJab1DJur584IsXY8cxEHTkyMIZPfHOf5HtE+by4uU7Td7gRw9nZ2shNGA8TL2Bl7l3olxNJAcvmN6n6qwdXL8GmZw9InpKb21iD+ajV+avMQ/0kWvBiaVqvlP9Vi2vm1Fdjjsa2sKI+vnpsONsXfSo1g+rKEN4ZnTSkj9RxooacLiWFNDY9cwAvbrwal7c0OTIWs3mClLxHwiF0d7Zi+UVRJCaEbIsjL9g06icJKomkgJOJSay5sgW3drTi9f7hvB7aWv20kfijqTaMK1oaJduXdcajaKo1p1ecg3IOLnb7DD+WKzGi0OJOnD+NTuIPwxMAgJ7jI7h+624sm9+ku8SUnyYCaQAJIYS4jRW+SPS9Q+MCtq97f1GyIqIWu+gpY6V13F49cUTkseuZWRlbOx3D6dENP8XCAONh4g3szL21yPiJkQlsef4NXDavEeuWL8BUagaNNZWYH41gros6Tv0kfsVL82lG4ho5PX/k5qU4djqJbbsO503Ud7XFcPV7z0NDRN/YqONEDS/pEmAuTyiU90g4hEc/1Y4n9vTl6ZPT7Q7koH6SICKV13bEo9i6pj2v+ppdtmVOfTUeXL0EX3j2APbklDHvjEfx4OolmFNfbfo79Nopv+XvXoGL3T7Dr+VKjAYeD/zwkOkSU17oyaQXTsITQghxGzO+SGuyAijHLkbKWGkdtxdPHBFl7HhmVsfWTsVwenTDj7EwwHiYuI/dubeSjOfq+E8PDeR9bkVbzHUdp34SP+K1+TQ9cY2SnteGQ/jGrt68PqPA2b7JRsuzU8eJEl7TJcBcnpAr7zOZDO5//g3sLtAnscXRow61O1CC+kmChFxeK/q07s7W7MYTO21LS7QW//QXl2N4XMDoZAr11RVoqg1bstAtotVO+TV/9wKOLnb39/djzpw5qKqqyvv7zMwM/vCHP7BnqQasKlfixu4QvYGHVWVPvdCTyQichCeEEOIkcrGBXl+kJ1lRi12MxgL0oUQrdpQCdEL+RpLTWLd8AdZc2YLqylBe5YRc3fBzLAxQl4m7KNmHD13ajLrqChwZGDOVU8vJuFb/56aOUz+J33BCp+1ATc83r1qI3b3Wl2enjhM55HQpEg5h86qFmMlk0NM/7Ck9UkOU98PvnCla6BbZfXgQA2emPPF7qJ8kKCjFvHt7h9Dd0QrAfJl+LWthZ9uIWLe4bQS/5+9u4+hi94IFC3DppZfiBz/4AS6++OLs30+dOoXW1lak02mFTxvnsccew1e/+lWcPHkSixYtwr/8y7+gq6vLlu+yGyvKlajtDvFKmQQryuJ4pScTIYQQ4mVOjkzg52+dQvOsKkylZjCcnMYrfadxzXvPKyqVqoaeZEUtdvFaiTwSTL74sUuxdngCZWVl2UXjZfObPFsK8MTIBL6080DeRFxh5QRRNxgLE2Icudz7Q5c2Y/Oqhfjcv/02q1/iBP8VLY1ICmnTebRW/0cdJ37ErTknPToNeOcUlZqej0wwXibOIervhuva8LfXXIy9R4awfU8fAGD7uvfjG7t6semZA9n3e0WPtKKmTwmV1wkh+lCLeadSM0VzR3rjCD+dlGZsbw7Hy5hfeumluPLKK/F//+//xXXXXZf9eyaTseX7vv/97+Pv//7v8dhjj6GjowPf+ta38NGPfhRvvvmmb0+SmylXorQ75N7nDuLejy/CpmcPeEL5rSiLw0lyZbyysYEQQuyCdk6dRFLAsdNJvLD/RF75w454FK2xWkTCIV33TM33zqquxIsbr9YUu3ixRB4JDlJJb1dbDD/a0IWmSKWrtkLOdmVj+YITJ4WVE0TdYCxMiDmkcu+66oqihe6ta9rxxN4+yyb4tfo/L+g4Yy2iRK58NNRUIhwqd3XOSYtOi3jlFJWanteGQ4qvM14mViEXOz9/Zycqy8rwxZ0Hi6oM2KVHdvkeNX2KqLxOiF/wSvymFvNeFKs11b7HbyelvRDb+xlHF7vLysrw2GOP4bvf/S4+9rGP4R//8R+xYcOG7Gt28PWvfx233XYbbr/9dgDAv/zLv+DHP/4xvvnNb+Khhx6y5TudwGi5EqXdIe+bW49NzxRPnrml/FaUleQkuTx+2tVECCFGoJ3TxkhyGtt2HS7q8yf++8Gblujy/2q+N1obxsXNdZquZUeJaT14JQEk1iE+03Qmgy9L9OPbfXgQ9zx3ENvWtLs0QmXbNTmdVq2ckKsbjIUJMU9h7n1kYCxPD7s7W/HE3r4iP2omj9bq/9zWccZaRIlC+Vi/Mo6e/mFLdcUIajpdODa3T1Gp6XltuMLVeJmUBnILRrsPD+K+H7yBL9+42JZy+lLYWbG0NlyBjni0yE4BZzeD14YdPzdIiOVYGb+ZnTNRi3nnNlTnnejWu3Dtt5PSbsf2fqfcyS8TT2//wz/8A5599lncc889uP322zE1NWXL9wmCgNdeew0f/vCH8/7+4Q9/GPv27ZP8zNTUFEZHR/P+CxJKu0Pa5zXK9iURld9JxBJTK9pieX/XU7JdNJhSeDnoTyQFHBkYQ0//MI6cGkMiae29V3MOVn+fEwRddwkJKnbpbhDtnF2MCynJZB44u3g2LqR0XU/N94r9ELX4OCtiAaOcGJnA+h09uO7rL2H1Y/tw3T+9hDt39ODEyIRt3+kX/Opzc5/p8dNJT8W9Ikq2666n90NIz6heI1c3/BoLE3vwq+56jeECv9U+r1HWjxq1J1r9n906rpSXMtZyDj/qrpR82KErVuD2KSq1+R8lPe+MR1EZKnMtXibK+FF35VBbMFLLGa3SIzXf88fhpKkcrjFSiTtXtqEjHs37e0c8ijtXtqGsDPRvASdIeiuFlfGbnjkTOV+nZ85Hy8J1IW77eL0wfzeHa9uRPvrRj2Lfvn244YYb8Morr9jyHYODg0in05gzZ07e3+fMmYM//elPkp956KGHcN9999kyHi+gtDtkKqU8eeaG8psp2Q5Y0+PcaZzYHe+3XU1aCLruEhJU7NLdINo5uxgX0oqvJ1VeL0TJ9z5w02J88dkD+Omhgby/K/k4s7GAEfxW6spp/OhzC5+pF+NeQNl27T48iGmVxe6W2RHMzdElP8bCxD78qLteI5EUIBTYD7vsiRb/Z6eOq+WljLWcw4+6KyUfXvW9bp6i0jL/0xAJ48HVS3D3M/uxp6Dl0LqOVtz7gzfwtVsuczxeJur4UXflUFswUssZrdIjNd9zbChpKodriIQxf3YEq5ZegO6OVkylZlBVUY53RicxIaTxkf+1G8vmN7GCSYAJkt5KYVX8pmfORM3XaZ3zMbJw7beT0szfzeHoYvfVV1+NcPjdB7Jw4UK88sorWL16tW09u4HiEumZTEa2bPqmTZuwcePG7L9HR0cxb94828bmNLG6MLraYpJGraHGm8qvVrJdrVyGG5PkRnFqct1vu5q0EHTddZL+/n4MDkoHPmaJxWJoaWmx5dp2jPvQoUOWXo8UY5fuBtHO2UWjiv9Xiw+kkOuHWLjQDWjzcXrat1hRepwT+Mr40ecWPtOqCuUCV27FvWq2azg5LVtacUVbDM2zqrL/FnVhbGoaX75pMYTUDManUp6OhYm9+FF3vcbgmIB9R4fy9NAJe5IBAJnOb3bku1ryUsZazuFH3ZWSD6/6Xrfa5uiZ/xHSM7i8pQm35iy+9RwfwYYdPUgKaQyOCbi4uc52384WP/rwo+7KobZg1FBT6YgeqfmekQnp1/XkcHMba3D94vMxcGYK/aeTAIATiUk88MNDSAppw3O01B9/ECS9lcKq+E3rnIlWX6dlzsfIwrWSj+9qiyGdyeDIqTFP6aOf1rK8hqOL3T/72c+K/jZ79my89NJLeX97+OGH8ZnPfAaNjY2mvi8WiyEUChWd4h4YGCg67S1SVVWFqqoqydeCQEMkjC03LMI9zx3MmyTriEcxq1q+L4lXyyRoPQVttMe50zg1ua7mHKrDISSS/prID7ruOkV/fz8uueRSTEwkbbl+TU0Ev/vdIcsXvO0e9/QUy1TZhV2667fdm27SPKtKdiNcV8HimR6k+iEWLnSLWOXjrKqOwgl8Zfzocwufac/xEU/GvWq2K5XO4NaOVgDIG3vhTm8v9NHlhJ738KPueo3RyWls39OHrWvaAZzVQ7vsiR49tjrf1ZKXMtZyDj/qrpR8eNX3unWKSs/8T2JiGo/u6pW91vjUtO1+1wuxhd/wo+7KobYppHlWlSN6pOZ7lDbV6MnhGiJhDI4JuO2pVyVf15u/SunPhy5txpYbFmFyeobxsocIkt5KYVX8pnXOxOxaR65vm12rf3OanI/vjEexdvkC3PSNvUgKac/5M7+sZXkN18qYK/Hggw/iL/7iL0wvdofDYfzZn/0ZfvKTn2D16tXZv//kJz/BjTfeaHKU/qUMQHtLU145lp7jI+h+8td4+OalKC8rKwpevVgmIYglRp2aXFcKUjviUbyw/yT2Hx/xlJEnzjA4OIiJiSSu6r4X9XMXWHrt0ZNv41fb78Pg4KDli912jfvkgV/g4A++jVRKX89i4j5undDwIw2RML5yrrx4bg/jrngUX7lpsWW+1G4fZ2VcwAn84FH4TAsXq0TcjnvVYrTX+4exfU8fujtb8cXrL4WQmina6e2FGJkT4iSo1FdXIimksWFHD7o7W9Hd0YrUTAY3LL0AX37hjTw/asaeuK3Haj57fGoa0boqdMajeWWVRRhrESl/JvreMiBPbtz2vYA7p6j0xMZKsWkkHEJ9TRjrd/TY5nfdtknEfbRsCmmIwHY9Ujul2XN8RPazenM4q/JXKf2JhEP4yytb8Pmn9xflIoyXiZ1YNVemdc7EjB4V5pSRcAjb170fGUDX2lWuj09MTGNyOo19R4ey1VEA+rOg4MnFbitLmm/cuBH//b//dyxbtgwf+MAH8O1vfxv9/f34zGc+Y9l3+I1obRj7j49I7gr9/iv9+Notl2FsMuX5MglBLDHq1OS6XJDaEY/i1o7WrLG/6+n9eOCmxWisqfTdvSTmqJ+7ALNb3uf2MHRj9bhHT75t2bWIs7DPjXYSSQH3v/AmLmtpwrqCjXBffuFNfO2WyxypKmLWx1kZF3CzRPAofKa5i1WfvSaO6soQGmrcj3u1xmiP7urF6ssvxMILGoquoaYLJxOTODo4btvpEU6IkyCTa0ty8+lIOITNqxbino8vsqRdgNu5rnq52jDu/cEbWNfRigzyNw11xqN4cPUS6nmJI+XPkkIa33+lH4/cvBST0zOem3Ny+hSVnthYKTbdvGohNu88iN299vldIzaJFV6Ch5ZNIXbrkVKe/+DqJbjv+TckP2ckh7Mqf5XSn+7OVjyxt6+o0oUT8TJ1s7Sxaq5M65yJUT2SyimTQhrdT/76bMy9aqGumFu0TUcGxvCJb+6TfI9f15Oo0+/iycVuK/nLv/xLDA0N4f7778fJkyexePFi/OhHP8L8+fPdHpprNETCeHD1Emx69kDRLpj7b1yMOfXVmFPv4gA1EsQSo05OrotBqjjhWdjzCTi7S6p3YAxP7XubOwsJIb6DfW60MTgm4KeHBmRLjFsV7Nvt49TigqFxAdDYi4mbJYKH3KT7/uMj+PSVLZjroRhHtF25fQILY7RCnclNcFMzyhuHjw6O447vvp69jtUxntuLdIRYhdzEkZR/WDa/Cde89zzLbInbua6azxbSM/jpoQHsOzKUPeGeu1kuOc2qSISxuBp6YmOl2PSKlkZseuaA5HdY5Xf12iRWeAkuXiitq2Rb7rtxMaZS1uRwajpaUV6Gnv5h1cUlKf1pn9co25rAzniZukkAa/yz1jkTo/NAcjllUkhj0zMH8OLGq3F5S5Pm8Ypx/dC4cptKv60nUafzCfxiNwDccccduOOOO9wehmc4MTKBLc+/gcvmNWLd8gWYSs2gsaYS86MRT030qRHEEqNOT643RMJ5E55STKVmeBKHEOJbvJCMex2nJtTt9nF1VcphbXkZcN0/vaQ58OcEbfDw0zMVbVdtVYWqzhQmuI+vXaZ47dxehnbEeG4v0hFiBWoTR3bbErdzXTWf/afRSQDIVpoopH1eI+bMqvakfSXOwlhcHr2xsZztOTo4rvg9VvhdNZtUEw5l/58VXogTyNkWK320nI52tcVwx7VxfHTr7ryNqHI5ppT+TKVmFL/bjniZuklyscI/a632YGQeyMqcMjeuV8uV/bSeRJ0upiQWu8m75CpB4QmuFW0xRSXwWkmEoJYYdXoiVi1pqaooRyQcwtJ5jbaXvSSlwaFDh3xxTULcwml/6+SEuhkfp3ZfwqFydMSjRaXggLMloMPnFvj0BP6coA0efnumajojleD2HB9R1IWe4yOIhEPo7mxF+7xGTKVmcPLcwpUfWhZoxWu5C/EPWieOGiLhrJydzZEEy+TMC7mukv0RJ/flKCsrYxUH4lm85B/0xsZScUx9tfIpNSv8rpJN6ohH8Xr/CM6vP7vBxQsVXrz0jEsJr9x3K+P9Qh2trarAq8eG0f3kr/N8oVKOKaU/uZtPpbAjXjaqm155rsQ7FMlEXRgXN9fJvt/IPJBVOWVhXK+UK/ttPWloXMg7zFpdGcLr/cPYvqevZCuqcbG7xDDq2LxYEiHIJUadnIhVS1oO/DGBrWva8cTevrxd+1qePwMikstEYghAGf7qr/7Ktu+YnlJO9AnxOm74Wz0T6lbYdSM+Tst9GZkQcGtHK4D83qFir+OTicns30o18Cf+RElnpGL77Xv6sHVNOwBpXbj76f2GYzsteGGRTslm1IZDjE+JIlpzZjt9tldyXTn7E6sLo6stJnmfOuNRnFcXRgYZHBkYo64RT+HVuS0zuuGE322IhHH/jYvxxZ0HJGOLDTt6cFXrbADAVCqNxz59Rd6ke+6ioN0VXrz4jEuBIN/3XB09MjCmu22AlE/vOT6CzngUexxccMs9KVu48bW6MoSZTHErpCA/V2IMozKh19dZ5dsK43q5XNmP60kZAD39w3k5fUc8ikc/1Y4Df0xgKpXW1GohSHhysburqws1NTSYdmCkBISXSyL4qRylV5GbSBGTljdOJPDE3r6iHU9qz58BESlkOnkGQAaXf+ounNd6iaXXPnngFzj4g28jlWJ/QOJf3PK3WifU3bLrWu9LXVUl1vzrryR7h27Y0YNt5xIaEZZSJkFAKrZPCmls2NGD7s5WfPH6SyGcm8B64cDJ7N+NxHZacXuRTslm3PX0fly/ZG7eJCXjU1KIlpzZCZ/t5Vy3IRLGA+cWvvYULHyt62jF//rpYVx3aTM2PXsw+xp1jbiNl+e2zOCU301MCGhvaZKMs4Gzk+7rd/Tk3d+OeBRb17Rjw46e7IK3nRVegvqMvU4p3XejpZULfXp9TSU+uWwevvDsAcfiZfGkbCQcktz42nXuu0U/XUrPlWjDSZmwyrcV6mxurtzd0YpZ1ZWI1oY9E2NrJZEUsOW5g0U5/d7eIZSjDB9dcj6u37on+/dSicM9udj9ox/9yO0hBBYjJSCcLkGk99SY38pRehEx6Bo4M4X+00kAyFsc+OefHJb8nNzzZ0BElKhrbsHslvdZes3Rk29bej1C3MDNkn9GSiWL49Ji182cCNd6X2J1YSyb3yTZO1Qs3ZyLn3oxEW/ihQo2crG92Ed39eUXYuEFDUgkBew/PoKkkEb7vEZJPQGsszVuLtIp2YzdhwexbvmCvL8xPiWFaMmZ9fpso/bCy7nu9MwMLm9pwq0SC19JIY01V7XkvZ+6RtzGKb11Ayf8bl1VpWz8sH5lHFueO4jdEpPuANDd2YpHd/XaXuHFCyXUSxEt9118nx/0SQkzpZWlfLqT8bJ4UnbpvEbJja+7C/w09YkU4rRMWOHbpHRWzJUB4MWNVyuWYHcCI/HG4JhQ5HNFdvcOYl3Hgry/lUoc7thi92OPPYZnnnkGs2fPxmc+8xmsXLky+9rg4CCuvPJKHD161KnhlCxGSkAY3bVmBJ4Gdi+hEoOu2qqKvF1TU6kZxc9JPX8GRIQQoh8n/a0Ueksli6jZdbO+Xet9aYiE8eDqJdj07IGiEyViecXc7/dTLybiPbwSs2qN7XN3xhuJ7cyQAYAySy+piJrNkPr9jE9JLlr06ujguOI1cvXIK/aiELN555nJlOzCF0BdI95DT6ztVb1Vwu7NMUq2cflFUVl7sLd3CN0drZaeWJWzX27nU6WK2n0fmRCw5fk3fKVPcljdNsDJTW1iPvD24Limja/UJ1KIGzLhh1YfZpCLNx5cvQRCegaJCek4nTmvNOVOfMnWrVvxP//n/8Qll1yCqqoqXH/99XjooYeyr6fTaRw7dsyJoZQ8omNb0RbL+7tS0Glm15oe1E6NJZLB78V7YmQC63f04Lqvv4TVj+3Ddf/0Eu7c0YMTIxOOjUHcNfXixqux847luChWq/h+qefPgIgQQvTjlL81glG7boVv13pfToxMYMvzb+CyeY14fO0yfPOvrsAP7+zEqqUX5JVO9GMvJuItvBSz6ontxRjPSGynFzdjWjWbUVUhnQIzPiUiWvRKq2/ykr3IxQodpa4Rv+F3vXUbJdsop+/Zz9ZUYtuadsy1YGFTyX55OZ8KMmr3fWp6JjD6ZGRe3UuU4dxGVAVEP019IoX4USa8rLOK8cYz+/FMzx9l43TG4dI4crL7W9/6Fv71X/8Vn/rUpwAAd9xxB2666SZMTEzg/vvvd2IIJAe9JSCc2gFT6qeBvVT6O3fXVCIp6H7+fnR+hBDiNl7ecWrUrlvh27Xcl1wf+tNDA9nXI+EQNq9aiOc+24HxqZSn+p0S/+K1mFVPbC/+zU5b43ZMq2QzpFoaiDA+Jbmo6ZVWn+01ewFYp6PUNeI3/Ky3XkHONoplquVosuj0qpr9+uotl3k2nwoySrrV1RbDvqPSpXb9qk9utusxQyIp4PNP7y9q6VOI6Ke9PD9B3MGvMuFVnVWKN/b0DuHWjtbsvwvjdMbh0jhysruvrw/Lly/P/vsDH/gAdu3ahW9/+9vYtGmTE0MgBTREwri4uQ6XtzTh4uY61Z7YTuyAcfI0cCIp4MjAGHr6h3Hk1JgndhJq7XHjNEaev2hwpfCy8yOEEDdRsrcPrl6CoXHBNb9l1K5b4du1+CE5H5oU0tj0zAGUl5VpinkI0YIXK9h4KbZ3O6ZV+n13rmzD9j19RZ8xG596Mbcg5lHSK616ZKW9sErOrNJRN3SNEDO4obduYLdPkrKNTs0Bqdmv8amUZ0/wBRkl3dpywyJJfyDidX0SKdQrAJpjb68g6k/P8RF0xKOS75Fqg0R9IiJelAmtPk9PvuwUekuR58bpjMOlceRkdywWw/Hjx7FgwYLs3xYtWoRdu3Zh5cqV+OMf/+jEMIgJnNgB49RpYK/2XvJyQqX3+ef2hXy54D4zICKEEHmk7G11ZTnu/cEbeSeWnfZbRu26Vb5dzQ952YeS4BGECjZ2xvZe0Ee535cU0lg2v8nS+NSruQWxHy16ZJW9sFLOrNRRJ3WNECtwUm/dwC2f5NQckJr9Gp2YxkXn1XnyBF/QkdOtoXEh205KCi/rk0hQYj1Rf7bv6cPWNe0AgL29756671Jog0R9IiJekgm/66aRUuS5cTrj8GIcWezu7OzE008/ja6urry/L1y4EC+++CKuvfZaJ4ZBckgkBQyOCRidzG9yL/d3IL+0tR04UQrD7bKKSng9oSosbT44JuDo4HiRnIh4yfkRQoifKLS363f06PZbSv7cKEbsulbfrmW8SnGInT7UjntJrMGtZ6O1tL7X5cau2N4OfTRyP6V+X0MElsanXs4tiD5yZayhphK1VRUYm0ypypyaHlmR41otZ1boaJFO1p09LSNita4RYiVO6K0UZmID8bNjU9NojIQhpGYwNpUqms9z0yd56ZCM3fOXRBq5+261PjkZZ1uhV17JC0T9SQppbNjRg+7OVnR3tGIqNYOqinLEz6vDXIkFQuoTKcQLMuGEz7NTdxNJARXlZehqi0lWLJErRV4YpzuR89qBXffWkcXuu+++G6+99prka4sWLcLPfvYz/Pu//7sTQyGQ3vXyoUubsXnVQnxx50HXdsM4sRPUy72X/NL3Qs+uqdx7OTo5DZQV/50QQog8ot+KhEPo7mxF+7xGTKVmUF0Zwuv9wxgaL/Zbdu5u1ZvUaPHtVozXLh/q953CQcbNZ6Mm10khjc+XsNwU6mOu/QKAmUwGiaT2mNvqZ23l5IyXcwuinVwZi4RD2LqmHU/s7cs77WRU5qzIca2WM7M+U0kna8MhxUVwQvyAHXNThXamu7MVyy+KIlxRjqbasOIkr/jZ144NY+uadvzjj38vaZ8mp9Ou+6QgHJIh1tIQCeOBmxbjC88ewJ4cue2MR/HATYt1y4vTOUChDy7My0+OTgKQn+f0Uj6Zqz9JIY1Hd/XmjWnbudPehPgBu/MwI7qrdQG30K/PZDJ5fr0zHsW6jlZs2NGT9zk9fs4LGxLksNMuOrLYvXTpUixdulT29UWLFmHRokVODKUkyVW0uqoKvHpsGK8dG857z/vm1mPTswfyFAtw/lSC3TtBvVBWUQ4/lP7Wu2vKS0EdIYT4kdHJ6byJ99yEtCMexer2C/Pe7/aJDimUfLtV47XSh4pxU2JCwFRqBpfNa8Rrx4az5fd4YtMdtMSzTj4bObkGYKgaQ5DI1cdXzyXwhfZLazzoRZuWi5dzC1KM1AQUgDwZ6+5sLVroBszJnNkc12o5M+MzlXTyrqf34/olc7HpmQN512TuR/yIlXNTuXojF9d3nettXAYgmjM5nvvZ9SvjivbpS6sWKo4jCD7JD/NmJJ9EUsD9L7yJy1uacGvOKeIDf0zgV32nMSVRpUDpWk7Hhbk+WE5/5Xyd1+JY6g8JEnbmYUZ0V+saSOG1c6ssAEDL7Agi4RC2/OCNvBYQQdFTu+2iI4vdIk888QTq6upwyy235P393/7t35BMJrF27Vonh1MSSClaRzyKrWvasWFHT1Zp2uc15jnqXJw+laBl54nRUgdeLxXu9dLfenZNeS2oI4QQP1JfXSk78b63dwhbfvAGHs2xp149ZSjn260crxU+VGvcJOXzvFCaLqhofS6As3IuJddHBsY8qYNmMCLfoj6OJKfxpZ3GN9R61aaJeD23IO8iNwF1/42L8zbO2J0XZ4BstSut2CFnRn2mkk7uPjyIdcsX5P2NuR/xM1adisrVG7m4fvfhQdzz3EG0tzRh//GR7OR47mfV7NPMTEZxHEHxSUbtF+N1dxgcE/DTQwP46aGB7N9yF43/57/vz/5dbYOUG3Fhrg/WuyHO6vFaIcNen3cmRCtq8XFNOGT42np1V8saiHjd00kBt3a04rJ5jdi+p6+oysKLG6/GhU0RfO2WywKpp3bbcUcXux9++GH87//9v4v+3tzcjP/xP/4HF7stRk7RRKfc3dmaVaap1EzeewrLsgiptK5yg3Zi5rSwH0oeebnMhJ5dU16fnCSEED8Qqwtj+UVR2Ymt3QX21G+nDK0ab2Hi3xqr1e1j9MRNuWNjFRN70ftcAHfl3Is6aGZizIx8N0TCZ+PBgglBES3xoBfvZy5+yC2I8gTU5ucO5tmR1EwG61fGi9qGiJNRRmTOrJ+wS86M5J1qOlk4rwAw9yMkV2+UFqz39g6hu+OsPRInx3M/K6VfuSSFtO0+ySsLxnrtF+N195DyG0arqLgRF+b6YL0b4qwcr5Uy7OV5Z0K0ohQfd8SjeL1/BOfXVxuSdb26q7QG8uqxYQwnp7H5uYOaNu8PJ4XsGlwQ9dRuO15u6tM6OXbsGFpbW4v+Pn/+fPT39zs5lJJASdH29g5l++YBQFXFu6Ig7rDr6R/GbU+9iju++zo+unUP7tzRgxMjE3YPWxG1nTKJpKD4ebFky4q2WN7fnSwFkUgKODIwhp7+YRw5NaY6Zi+h51SB1ycnCSHEDzREwghXKIdrufbUb6cMrRjviZEJrN/Rg+u+/hJWP7YP1/3TS4ZiFrW46cML52D7uvdj/co4IuEQZlVXmo5LiDp64lkRN+Xcbh3UG0ea0Q8r5NtsPOh1m+aF3IKoo3YaWbQjkXAIrdHavDy4+8lfo6f/bDl+0fbrwQo90iJnTuWYajpZJROzMPcjpUyu3qgtWIuviwtnuZ+V0y+RhppKW32SnpjCS/NejNfdRcpvtM9rLFroFhFlX+u1crEjLhR9cFdbTFV/C32dFeNNJAUcGxzHXf/+W8owITk0RMK4/8bF6IhH8/7eEY/i1o5WfPmFN2VtiRp6dVcp5+3ubMXmnQckN+8/sbcP3Z35a6WJiWlPrMHZhd123NGT3c3Nzdi/fz8WLFiQ9/ff/va3iEaj0h8ihtGz67rn+Ag641Hs6R2ypU+ZVVhxWtjNki0nRybw87dOoXlWFaZSMxhOTuOVvtO45r3nYa4PdpPqOVXg9clJQgjxC00q/inXnnr5lKHUSRCz47WyZYZa3PSH4Qnc8d3X0RGPYvu69yNWF2YVEwfQe4rQbTm3Uwf1nugwox+JpICTiUnT8m02HvSyTRNhOUjvo2ZHRLo7W3H/C29Itg0BgM2rFuqWOav8hJKcOZljqp2i6Tk+Ivk55n6klMnVG7UF69zXz0xOozVWm/1sz/ERdMSjkouEok9siIQ1+yQ9p7T1xBReO0XNeN1dpPyG3kVjpWuJ2BkX1oZDuH7JXMybrSy/hb6urroCXW0xSfnTMl5Rl9YtX2CqUhIhQSUxIaC9pQndHa2YSs2gqqIcPcdHsqeljW621GtrlHJeLRVdRMRY2o41OK9UZrHbjju62P3JT34SGzZswKxZs7BixQoAwEsvvYS/+7u/wyc/+Uknh1IS6Nl1/fuTo3hw9RJ8aedBT/XvLsSq08JulIJIJAUcO53EC/tP5CUnHfEoWmO1iJzrJeEFwyOHuKPx7qf35xklqZ3CfpicJIQQP6DHnuqx006iNOn1yM1LcZfB8WqZvBLfp+ZbtcZNe3uHUF5WhkcLSktKwZNs5tETz7ot54B9Omhk4dro5K6or2uubFEckxb51mK/lBJvr9q0QoJaZi4oqNmR9zTVYEVbTHUy6p5VCy0v+63HT0jJmVqOOZ2eQUNNpWXyqaSTd1wbR/eTvy76DHM/Uurk6o3SgnXhhpFZ1ZV5n92+pw9bz/X9zP18oU/U4pP0LkhrjSms3IhqFVrssFcWAYKIlN9Q2/Qht0HKrbhwcEzApmcOYP3KuOqGE5ETIxO457mDWLt8AWYyGUWdlSJXl6yIyeW+g3JP/ExdVaVs7A4Y32yp19Yo5bxqiJt/xBPpG3b0ALB2Dc5Lm9DstuOOLnY/8MADOHbsGK677jpUVJz96nQ6jbVr1+LBBx90ciglgdrkUvy8Ouy8Y3neTs9ta9rx1sCY4nXNTNyadaR+Pi08kpzGtl2HZU8KPHDjYtzzgzc8YXiU0Hp6xS+Tk4QQ4nX02lOvnTLUMum1bU07RpLTGBdSGBfSaKypzG4CU0Jt8mpkQsCW57X5Vj2n1cRe6X6OS/yCkXjWbazQwcKYuaKsDK8dG5Z8r1wibGSRLVdf1y1foPh5LfKtZr+SQhqfV0m8vWbTiP9QsyPn11cr5sGRcAjdna1Iz2TQ0z+sK4+120+o5Zh3feQSfGnnQUtzSjmdTAppLJvfxNyPEAlEvRkaF7C6/UJsKZj7KZzkzl04u6CxBl+95TIMjwsYm0rhgRsXYzqdQVJIGY4x9C5Ia40pvHiKWs0O14RDWL+jx/NzcX6m0G80RYwfjsm91vjUNBpqwhDSM/jT6CSS02lbFmxF+ZfbcNJV4OtydWzfkbMVVMWTp401lbi4uQ5z6qsVvzNXl4xuDlDCS4tfhBjFzoN2enJQuZy3Ix5Fc32V4ve8p6kGj69dlnciXSQ3Xze6pubFTWh25veOLnaHw2F8//vfxwMPPICenh7U1NRg6dKlmD9/vpPDKBnUJpfmNtZgPmqLPjNbR7lUPVjhSP18WnhcSMn2pNnbO4SJ6RmsW74Aa65sQXVlCK/3D2P7nj7XS8dLofX0CicnCSHEGvTaU6+cMtRaCrkmHMKXnjuoO0ZQm7yamp7RHNQrJSi5k48ihaUlC/F6XOIXjMSzXsCMDkrFzF1tMWxd016UAItILVwbWWTLnVhTOn3W1RZDOpPBkVNjqom2nP0CUDS5DEjrqFdsGvEnWjeNSeXBkXAIW9e044m9fXknR7TmsXbnr2o5JmDPZJaUTjZEwNyPEAVy9ebRc7oyMiFganoG+44OZX18oW2yelHKyIK01pjCi1WP1Ozw6/0jnloECCqFfsPM4RjxWk4t2IrynxTS2LCjJ2/xuqqiHPHz6vLahuTqWFJIF508fXHj1ZhTr/ydubqkpYWBHry4+EWIEew+aKcnBxU3ph0ZGMPIxHS2pPqLhwbQFY9KtiLoisfwX2++I3s6XfStZmydHp/vZLUHu/J7Rxe7AeDxxx/HP//zP+Pw4cMAgLa2Nvz93/89br/9dqeHUhIYWWy0IyG3ypH6+bTwuMTEZC4nExO47alXs//uiEezk5p+7r/CyUlClDl06JAt143FYmhpUS53RfyF3+yp1lLIiYnpotPXgLYYQSlm6WqLYd9Rfb3NcuOm4aSAxMS05A5boLi0pN/iEj9RSpvn5GLm3YcHMZPJoLuzVTIZllq4NhLT506syZ1e6YxHsXb5Atz0jb3ZSXm1RFvKfh0ZGPPc6S8SXLTYESmd6e5sxRN7+4ommLXmsXb7CbUcc+Lc607plN9iFULcIldXEkkBc+qr8cFLmotskx2LUloqIxWiNabwYtUjJTt8/42Lcf3W3ZKfYyxiL2bjeycXbHPlv3DxekVbDNvOxcsiRnSskFxd0trCQCterMBAiFG8NFcwNpnCp77zq7y/RcIh7LyjA/e98EZRy6HP/bf34X+9+JbktXJbfpmxdVo3oQWl2oOji92bN2/GP//zP+POO+/EBz7wAQDAL37xC/zDP/wD3n77bTzwwANODqdk0Jtw2pGQW+lIvWTE9NBYoy+oFw1gd2eraz0/2b+FEPuYSAwBKMNf/dVf2XL9mpoIfve7Q1zwJpqw2t7rKYUcCYcMxwhKMcu9NyzCx7ftkf1eOd8qxk2JpIA7d/SoTur5NS7xG6WygKIUM+/tHUJ3R2vR3+UWro3E9LkTa1KnV+bPjuBPo5MIlZXha7dclq1GdO9zB/G1Wy7T9Yy8ePqLBBs1OyKlM0p9vLXmsXb6iQaVhaNI1bstQdR0irkfIe5QuPA9OCbg6OC44TYmamipjJRI5l9Xa0zh1WqMcnb47aFxyYo5IoxF7MVMfO/kgm1DJIyHPrEEx4aSGJmYzsa/vz85ivtvXKy7EoKUjhVSuMCeG5MDQMvsCJpnVRn6jYzBSdBQ8qNOxrNSupUU0viPN07iY0vm5lWE6Dk+gtue+jUe/dQVSKUzsr7V7AZxLZvQglTtwdHF7m9+85v413/9V6xZsyb7txtuuAFLly7FnXfeWRKL3X5JIK1OyK12pH6c8GyeVYWutpikgeqKxzC7Nozt696fLV+eFNLZSU03dr8GZUcPIV5lOnkGQAaXf+ounNd6iaXXHj35Nn61/T4MDg5ysZuoYoe911oKeUVbDOXlZYrXUosR5GKWoXFBcfJKzbfmTuq9emwY3Z2taJ/XCACY1xQpeq9aXOKXGNAteH/OohYzF6K2GbU2HMKXb1yMcSGFpJBGQ02l4sRY4SR17umVD17ajPUr27C94JSrWOp/aFzfpKIXT38R72O3rSj0KdMzGcX3a81j7chfE0kBlaEy2dKIHfEokHnXxyrpFHM/QtzHqjYmasTqwrJzUx3xKPYdHcKc+mrFCkhy84RWHJ6xy85L2eG6MeUTtoxFnMHIM3dywfbEyATufuZAkW4+tHpJXvlyEaM6lkuhLiWFNLbv6cPmVQtxRUsjxqZS2Tza6g0vlHviV9yOZ+V061svHcXWNe14ct/bRWNbMDuS9a2JiWlEwiGUl5dhYjqNRFJAQqUShJqt07IJLUjVHhxd7E6n01i2bFnR3//sz/4MqVTKyaG4gtsKpxcrE3I5ZY+EQ+jubEV1ZQg9/cOBntxsiITxiETQ3xmPYm3HAnz6O79CUkjnlS8Xkxmnd78GaUcPIV6nrrkFs1ve5/YwiMdwauHPLnuvpRSyOOk1Ma1cglVLsi0Xs5g9WSJO6g0np7F55wFD/VoB/8WATsP78y5qk08tsyN4cePVmjajivf1tZzNGomJaWTOrd1JfU5pknrzqoX4wrMHijauiP/e8vFFen6qZ09/Ee/ilK3I9SlHT41h/co42uc1Yio1kz3NJW5OdmtCOFe/t65pxwwguQnlRGICgLJOMfcjpYDXN9VZ2cZEjYZIGFtuWIR7njsoaTc27OjBBy9plv2sndUsnI4JGYsYw0p9MvrMnVqwVdLNLzx7QNJHmtGxXHJ1aXxqGvU1YWzeeRCbnjmQfY8R/aDckyCiN561Iy6Q062kkMb3X+nH1265DGOTKUnfOC6ki9r7dbXFcPdHlA9H6TnEIbcJ7ejguOI1/FTtwdHF7r/6q7/CN7/5TXz961/P+/u3v/1tfPrTn3ZyKI7jdALpZCCv5buklD0SDmHrmnY8sbfP8OSx38gNVBIT05icTmPf0aG8he3c8uWP7urFe5pqHE/CgrSjhxBC/IaTkzx22Xu1UsgXxWoxt6E6Wy7cjmTbyrYsm587WHRqTmsMx0UEZfx2f+yOsdUmn7SWKxTvq7gQpifelpukPjk6KVmhATgbv6YzyidgC7GjdRIJLmq24ss3LsbppGBIL5X0OhwqR0//cJ7+iJuTv/9KvysTwoX3orC0aUNNJX7+1ils2NGDbWvaVXWKuR8JOnpia7cWxa1sY6KFMgDtLU1FJVXFuSmzC4VGDs+4ERMyFlFGSh/GhbRluarcM3/12DBeeusUls1vwthUSlIXnVqwNeojrdKx3BZb63f0YHevef2g3JMgoqarA2emsrJt15ybkm7df+NizKmvxpz64s8pbar56OIR2SpOeg9xyG1Cq6+uzB5Ildrg66dqD44udgPA448/jv/6r//Cn//5nwMAfvnLX+L48eP467/+a2zcuDH7vsIFcb/jZALp5CS51u+SUvbuzlY8UVAGEXBmctPNXb1ioHJkYAyf+OY+yfeIycyKthjOr69WvJ4dv4X9WwghxB2cnuRRs/cjSeWSSXIolULujEfzkmg7k20r2rKYjeG4iKCMn+6PEzG2VeU/TyYmsfvwINavjBuKt6UmqY+cGlP83rFJ/ZW67Oxl7PVTfEQfarai99QYbnvqVQDWVd6oDYewSaaaQRlgyEdZIZeF9yLXxwLAk+veDwD4zl8vQ7iiHJtXLUQkHCq6jghzPxJk9MTWblaa0dvGpCMelewVrJVobRj7j49InhbPnTx30pe6FRPaGYv4GSl9eOgTS/Cj/SctWXAFpJ957sEopRPMaotKbw+No25cMC2zRn2kVh3LRUnfrNYPyj0JCqLeDI0rz131n06itqoCteH/P3v/Hh5Xdd/742/dRtJI1sUaG2yQbIFEwDcQNeRbSzKXNG1IHMD40MZJzg8jktMWDN+Gk2/AAXMPhiZpe2xCTpODgfM8iU/aAnYgJD0kpPhCm8SgVDYxxDLGMrFBHiGNLiPNlkb6/SHv8Z6Zfb/vPe/X8/A8WDOz99prf25rrc/6rBJH59zM6Jaafj/yk0PYeWs7HnzprawxSafB+TK1JLRY9ezRuttePZyX4Lt9w2WBqvbg6mL3wYMHcemllwIAjhw5AgCYN28e5s2bh4MHD2a+V1SkfnZjEHFrAOnmJLnRe+Uqe0VZiazTF6/hVCDrl1KZegYzWkbLqWfh+S320dfXh3hc3mFZIRaL8SxmosmhQ4dsvyZlz1ncnuTRsvcTU9N4/6Mkzp0bVf1eLrXRCB5duxx3P9+DvTml2za0N+P+H7+Fb994ceZZnBxsWz2WxWoMx0UEdYLSP27G2HaU/1x/+aydbmussy3erq1U/54wNY1E0riNsvPoJBG/xPvEPrRsRWpqOvP/dlXe2LxmiaJP3ts7gInJadnPlLBLLtX6IhopwYK6CnTvHdRdzYFjPxJm9MbWXlea0dLD2soyPHXTSqSmplFbWYaJyTSGxwUAVabupye5zm1f6mVM6EQsEmSU9GH+nPK8hW4RM2NVuXduZGNUbsxcGSnBm31D+PTWPZnqmVZl1qyPNJrAqqVvTugH5Z4EHanePHVT/tHJuWjF93bNuRnVrUGVTSZJIY2jA2N5lSKa5kaxwEZf/J1Xe2UTfIuLivDE6WMJg4Cri92//OUv3bydr3BrAGnHJLnezE0z95Iqe3ffoGo7nAhkvR7ASNFzJqOa0XLyWXh+iz309fXhwgsvwvh40vZrV1ZG8fbbh7joSGQZTwwAKMIXv/hF269N2XMWOwaxRnZgxKoj6GyNyfrz9pYG/Pu7A/ifrx3BEyZ8ysRUGpc01eNmhdJt0jJSgH8H21ZjOC4iqBOU/nE7EcVq+c8NqxYDyF4AlEO0KXqPJVKzF6+/O4Czaio812M/xfvEPrRsRXlpcda/dx+OZ3Z4mN0lNTRu38SynXKp1hddHc145KXfGarmwLEfCTN6Y2s1e7D/2CCGkpOeHWPS3tKAf/v9qawElqduWomqcmsxklpynRe+NCgxYSGgtOO6rKRY4RezGJ3HlXvnRhM188p82yyzVnyk3gRWPfpG/SBBx+5KIbl60318CO0tDbLHbrW3NKD7+JDt8b0dJJICBI0xe2lxUZ5d/MWdV9jWhviooJjItMdn1fa0cL2MeaHi1gDS6iS5kcxNq/fywlH7qVSmnjMZ1XDyWXh+iz3E43GMjyfx8a77UbNgsW3XHT75Hn61/UHE43EuOBJZJpMjAGZwyefvwrzmC227LmXPeaz6RqM7MGqjETxw7VI8sOutrOC2vaUBN7c3ZxamzfiUweSk4kQFACQ0Bhl+wWoMx0UEdYLSP0HYgS6NDcXBfu4CYC5zKsoMHUv0wLVLcd+ug1mTCFJ78ScXzrf5qYzjp3if2IfWQlD38aGsv0UjJZgB8ia+jeySqlIp/Q0YG6/aKZdqfbHqvAbD1Rw49iNhRm9srWQPxJLK9+48kHVeplPHmOT6Y6mPzcWOGEkpuc4LXxqUmLAQyNUHUQ9KitUrsRqdx5V753oTNXNxSmat+kg9Cax62k79IEHGiUohuXqzfe9RbD29A1lprArYG9/bQXxUwOvvDmgu1EuxW+eDMNehFy52u4RbA0grk+RGMzetTsh74aj9pLxWZcLpZ+H5LfZRs2Ax5jZ9zOtmkAKken4TZS9gWPGNZndgFAG4808vwIb2xbI7sAFzPkVrEKF2fqifsGOCg4sIygSlf4Kwm0IaG4qD/Q+HJxQHzqtbY6iuKMVX//k/dduNIiCvhJrUXvitH+QI0mCdnEHJVigtBHV1NOOBXQezFqcAY7ukqiKlto1X7ZRLNbupleCidB+O/UhY0RtbK9kDIyWVrbKwrhKb1yzB8dPnio6lpvJicpFz6ysd1U8vfGlQYsJCIFcfRD1oa6pXjSuNzuPKvXM9iZpyOCmzTvtIPW0/f3419YMEEqcqheTqTVJI444d3ejqaEZXezOikVIkhXw/amd8bwfDE5OKC/WdLTHcdnULup75TVYb7db5IMx16IWL3S7ixgDSyiS50Sw4q4vVXgSyflNeKzLhxrP4taQsIYSEFSu+0Ww2e0NVBB8kJnDLs/sVr23Gp1RFSlWzU6siwQlDrcZwXERQJwj9E4TdFNLYUBzs/+UV5+H+NUvx8Etv5e1Ie3zdCoylpgzZjYaqCHqOD8nuHPVjP8gRpME6ySbXVlSVl2L/sUHZhSA9O5y19LouWmbbeNVuuVSym/FR5TP/tO7DsR8JI3pjayV7YLSkslVKiopwy7P7sfHqFnT3DSouKp5dU2HbPeXwypcGISYsBHL1QdSD7r4h+QUZC/O4ue+8Pmou5nZaZp30kXrbTv0gQcSpqgtyepMU0hmf/dRNK/PmuOyO7+2gpqIsb6FeTCo/8IcEFtZU4MWNHY7qfBDmOvQSnFnGkOD0ANLKJLnRLDg7FqvddtR+VF6zMuHHZyGEEGIds77RbDZ7bTSCRQ1RdLQ0YK9NWfoAUBctw+1XtwLILyN1+9WtqIsGa8HJagzHRQR1/N4/QdhtlBsbJoU0/v6Vw/jH197F5jVLcN9nl2IsNZVlU7r7BlWv6UT87zSMkcNNrq2oKi/FTxfVm9rhrGeXVG0UtoxXnZBLJbtJ+SckGz2xtZJ/08LuHc6irVDa5eWWv/XSl/o9JiwEcvVBLC2utCDTNDeKBRZK+ue+czOxZpDjPyNtp36QoOFU1QU1velsjaF/JJX1NyfiezuQPkduct3q1hhuXrXY8XYFYYyvFy52hxCzk+RmsuDsWKwWHXUiKSA+KuDd+BhqKgXEquw3MmFS3jA9CyGEkGzMDGKtZLOfUx/FYzeswKYXDuSdo2TWp9RGI1g0N4o1KxZmTYb0j6SweG7Ut35KjEeGJyZRU1nmSDxCgomeuNdL+VGKDVcuqseVF8yTnYT0Kv53EsbIhYXVHc65v6+pLENVeSlGJ6bQ3TeY0ePz51dbaqdbckn5J0QePbG1nD2ZnplR/Y3dO5ylOixdVARmS5efXVNhix5rxSu0JUSqD6mpM9VTpDsnRX5x5xWO3VtvrGlEZv023qO+kTDjVNUFLb2JRkpw+eK5qklubuuWku3xg/77fYyvFy52hxQzCquWEfPJi+ajuqIUR/pH8xTSDuNwYmg87/yG1a0xPLZuBRZayA6UIyzKC4TrWQghhFjDajb7uXOjeMKkT1EK2hfUVeLTy87OuubKRfW+9VNuxiMkmKjFvX6QH6OxoVm7YUf87+REI2PkwkLPDudopARdHc1oa6wDAEzPzCCRFPLGsyeGxvPOsbdLj92SS8o/IebJtSeJpOD6blGndVhvvCJ3dESkpBj9IxNITqY9XyAkziPdnOS2HpiJNfXojpL8i4tjXi2C03eTsOJE1QVxHDmamsTD1y+DMDWdV8EMgK/0R8v3+kH/w1A5govdJINSJsknL5qPzWuWODboTySFPGUHZs9tuPu5Hmxb3+bIDu+gK69ImJ6FEEKIeezICDXjU7SC9qD4KS/iERIe/CQ/RnTOq0xyNxIDgmJ7iDNIZXv/sUFsXd+Gp/cdzdqNlitzbuixW3JJ+SfEHrzyk07psFE7J7bDDwl9xDv8svNQD2q6oyT/+48N4thHSXzn1V7s6fVOxum7SRix234E0R/p9b3Uf+twsZtkIZdJUl1RmrfQDdg36I+PCnnXlt4jPipQ2U3it9I8hBBCnMXtjFAvF/js9nGMR4gVgiw/YbEbjHtJLqJsDyUnce/OA1nn3gL5MhdkPZZCXSDEXvyy48oOzNg5PyX0mYV20Tph0AMl+e/qaMa2Vw9rxglBh3pAvMIu+xFUf6Tle08mJk4f60u9tAoXu32InPMB4JpDys0kOdI/KquQ0UgJVjTWWVbI4YlJ1c9HND4n+SSSAgaTk9i88wD2SII1v2c6EUIIkcfIwFT69+GJSaAo/+923dPKwoCVwbYT2byMR4KF3yZrgi4/Tu4gGxgTMDU9g+mZGSRTU4iWl9puN4KY4U+UkZYmrItGIExNYzQ1ZUrXa6MRDCUnsaG9Ges/vggVZSV4s28Q2/ceRVJIZ8lc0PWYY0BiFb/5Vj/h9+M79N7/o6Sg+h05O+d2IpDd/RTWGMELeZLTA6/l2ghKfr6tsS7vHHIRPTLu9Ty+HsKqByQ4aFVd0KMvQU1M1RpjvBsfw60/eBOAfr2UG2fXRiOe2xqv4WK3z8h1PtFICbZvuMzTUipyChmNlOgqBaeHmooy1c/naHxOsjkxNI7Xfn8KL/WcCH1WIiGEFAJGB6Z2DGT1XsPswoCVNjqVzct4JDj4cbKG8pPPiaFx3LfrID53eROe3nc0E5c++YVLVX9n1G48unY5HnjxrcBl+BN5xPf8xunS43/7r+9kjWnM+LN7cxZ/21sasHV9G+7Y0Y2kkM7IXJD1mGNAYhU/+tYw4XX/ivffsGqx6vfk7JybiUB291NQdwFq4bU8+a0delHy86mpadXfqcm4XB90tsZw21Ut6HrmN0gKaQDe9ktY9YCEAyN2JKiJqVpjjPLS4sz/69FLpXE24G8b7AbF2l8hbiHnfMRSKtKFbuCM4Cc0sjLF6x7pH0V33yCOnBrV9RspcgrZ1dGcp0xG2yUSq45gdWtM9rPVrTHEqulw9SLK0Pw55XnvRkTMdCKEEOJ/tAamuf7W6Pet3tPMwoDVNurJ5jUD45FgYIeMO0EY5MfqmCH3Wnc914MLF9TkjRmkg3k5jNqNTS8cwIULamSvxbg3WEjfc+54MxopwcarW3DTqsU4dHIYhz8c0ZTRzPVyxkX7egfw9L6j6OpoBnBG5oKqxxwDEqv41beGBa/7V3r/7uNDaG9pkP2eaOdy44G50QiikRLF69uVCOREPzk1bvASr+XJb+3QgyjTiXEBO778cWy8uiVLps3EpuJ15fpgz+E4tr16OBNnAN72Sxj1gIQDo3akulx9326Vyud2jnWNojbGaG9pQPfxoay/qeml2jhb/K3fbLCbcLHbR8g5n7bGOksD1hND49i4oxuf+LvXsPbJ1/GJb7+G23d048TQuO52ySmk1XZJqY1G8Ni6FXn3WN0aw+PrVjC7zACiDFnJSiSEEOIfjA5M7RjIGrmGmYUBret/MDyh2j6nsnkZjwQDv07WBF1+7BgzSBHfk9yYQc9Eu9L15BDvowTj3uAgfc9S2RGrinX3DeKWZ/fjlmf345N/v1tTRtXkZl/vANoa67JkLqh6zDEgsYpffWtY8Lp/pfffvvcobm5vzvPDq1tj+Nt1KzAmpPPigc27DmL7hstkF7ztTARyop+CugtQDa/lyW/t0EIa497w3X/H+u//Cr/tm60eI8p0/0gKnSaS3fTEGVK86pcw6gEJB0btSKSkWHEc2d7SgEiJ/FKn3WNdoyiNMdpbGnBzezO27z2a9xslvVQbZ4v4yQa7DcuY+wg552NlwGpXmRJRIe9+rge7T1/L7oH0wrpKbFvfhviogJGJScypKEOs2rszBoJ05owUUYbMZiUSQgjxF0YHpuL3o5ESdHU0o62xDqmp6cwZpWMpbf9s5J5yMQKgvjCgdf33B8dxdk2Fot91ssys3+IRko+fJ2uCKj9OlDYU35PcmGH73qPYur4NAPJKrpm1G2pjEzfi3qCOHfyG9D1L36lWVTElGdWSGwB5MmeXHrspExwDEqv42beGAa/7V3r/pJDGHTu68ZdXnIe7PnUhACA1OY26aBmKiotw3wsHZOOBGQCb1yzBpucPZP5udyKQE/0U5OMplPBanvzWDjWUYty9vQMoKirCrtvaUVxUhFh1BFdcMC8zphXH0qvOa0B5aTHiY7OLRrmybiY+9aJfwqgHJBwYtSND4wJubp+tmLAv54iim9ubkRgXAFRl/cYvZfxzxxiVkRK8PziOoqIifOvGizNzdtv3HkVSSCvqpdo4W4ofbLAXhHqx+xvf+AZ+8pOf4Le//S0ikQiGhoa8bpIqcs7HyoBVT3aMXmXOVciKMuUSRlrtUqI26o9JoaCdOSNFlCFxx4xcho+fS/ARQgjJxujAtKaiLLMD7ul9R/HEq72Zz9pbGvBfLj3X9nsaXRjQuj4A1RhF3E2+WybGscPH+SUeIfL4fbImiPJj55hBRHxPcmMZcaK9q6MZmz+zBBOTact2o65S/nM34t4gjx38hvQ9S2WnrbEuy59JUZNRLblpmhvFApl3ZFWP3ZYJjgGJVfzuW4OO1/0rd/+lC2vx+M/ezrIXna0x3LRqMV4/MpA5Z1hkz+E47luzBL+48wrHEvqc6Cenxw1e4LU8+a0damhVBiouKsL586sBALVRYNv6NgyMCZgB8MCug1mxh5wfN3IOr4gX/RJGPSDhwKgdqS4vw/rv/wpdHc3oam9Gamoa5aXF6D4+hDt2dOPFjR1513BirGsW6Rjj/Y+S2J6TzNve0oCt69vwo1/3Keql2jhbih9ssBeEuoy5IAi48cYb8dd//ddeN0UXcqVAzZT5E7E7y642GsH586txSVM9FtRWBPI8My2CdOaMHKIMqZWm8nMJPkIIIdkYLRMeq45g85olsjvg9vUO4L5dBzV9mZnS5NIY4fz51ap+JlYdUSwTJ55XpBajBLXMLLGHoJ6p62ec2JkjvielsUxSSKPn+BAW1Fbothtq731RQ9QTmxD0sYPfkL5nqeyY3bmgJTfz55RbaK08XsgEx4DEKvStzuJ1/+beX6laxp7DcTy972jWOcNSxlJTuuN9O9opxWw/hXHc4LU8+a0dahiNcWujETRURfDAj9/CHh3n4Bo9h9erfgmjHpBwYGa+a+Wiejzxai9ueXY/bv3Bm7jl2f144tVerFxUL6tffqxCkUgK2PTCAdk5u2f2HcUD1y7V3PxhZc0wzIR6sfvBBx/EV77yFSxfvtzrpuhCzvls33sUt1/dmjcprMchOZllF1ZHGZQzZ5QQ38vKRfW4Y0c32prq8dRNK/HUTSvxr3/TiW3r22R3LxBCCPEnRv1tbTSCS5usnd3jtI+vjUbw8HXL8gJz6XlFWjGKuJv8F3degZ23rsIv7ryCPq5ACGsM6iVOjBnE9/TOyWFbFt+03vs59VFPbELQxw5+Q/qepQu3ZncueGEvvJAJjgGJVehbncXr/s29v9o5n3LnDIs4vUvMqX4K27jBa3nyWzvUMBPjGvHjSn3Q2RrD7Ve3Zp3D63W/hE0PSDgwM99l1O74sQqFmp3Z2zuAiUnlRF+7x9lhI9RlzM2QSqWQSqUy/x4eHnb1/kqlQJ8wcW6Y02VKgnouoRp+zPYxShjfix681l1CiDmou9oYteu5ZQdz0ePLnPYl9dEyrFmxULb0lFJGbi5BLBcdFrzW20KNdZzCqTHDwrpKfOvGizEwJuCBzy5FenoGSSGN2kpz70vrvXthE4I2dvBad/Ugfc9jqUk8ev1yzGAGna0x2UkhLRl12154JRO0i+HGDd2lDDmL1/0rvf/AmHrSjVw1Dbd2iTnVT16NG5zSXa/lyW/tUMJMjGvUjyv1AQC8uLHDV/3C8bM+ghAvhwmjdsTo9/1Yxt/qeMHucXaY4GJ3Dlu2bMGDDz7oaRuUnI9RQRUzPe5+ridLoe3M8Aibo/Rjto8ZwvZe9OAH3SWEGIe6qw8jdt0uX+akL6mNRnDFBfMcjVGIc/hBbwsx1nEKJ8cMdr8nv733oI0d/KC7epB7z49bkFE35cZLmfCbfhD7cEt3KUPO4nX/Zu7fP6r6vbrKbDvlxY7hsMihk7rrl37ySzvkMBPjmvHjds3jE38QlHg5TBi1I0a+78b6mFHsGC/42fZ6SeAWux944AFNg/Ob3/wGK1euNHX9TZs24c4778z8e3h4GI2Njaau5Qf8nmXnN/yY7UP0ETbdJaRQoO7aT1B8GWOU4EK9DR/UR3MExd6KBFl3gyKjQZMJEgyCrLvEf2jZqfPnV+MXd17ha1sbFKi73hOGXaDEXai34cNv4wjaGecI3GL3xo0b8bnPfU71O4sXLzZ9/fLycpSXl5v+vR9hpod+/JjtQ/QRRt0lpBCg7tpPkHwZY5RgQr0NJ9RH4wTJ3gLB190gyGjQZIIEg6DrLvEXWnbqrJoKnFXjYQNDBHXXHwR9FyhxF+ptOPHTOIJ2xjkCt9gdi8UQi8W0v0iISfyW7UMIIYQYhb6MEELcgfaW5EKZIIT4HdopQpShfhBCnIZ2xhkCt9hthL6+Pnz00Ufo6+tDOp3Gb3/7WwBAS0sLqqurPWlTIikgPipgeGISNZVliFU5L8Re3DPo+CnbhxBCCDGDHl/GGCH88B0XBnrfM+XBGTh2MI+WTAZVZikThBQGQbVRgL/sVJD7MewU+ruZAYAir1tBCDGKm7bL7L385IfDQqgXu++77z48++yzmX+3tbUBAH75y1/iyiuvdL09J4bGcddzPdiTU57gsXUrsLCuUvF3VpTT7D2JPIUe5BFCCAkPQYsR/OqD/douIHjv2E78/F7sRu979lIeCul9EP2IMvnGsUF0dTSjrbEO78XH0FgfxVk15UgKaXwtBDaM8k9IOKFftQetfgzTswYNt2XcL+/aK932y/MTEnSM6rCba2/Uc2cJ9WL3M888g2eeecbrZgCYFeRcwQeA3YfjuPu5Hmxb3yYr2FYcrNl7EnkKecKYEEJIuAhajOBXH+zXdgHBe8d24uf3Yjd637OX8lBI74PoR5TJN44NYuv6Njy97yieeLU383lnawy3XdWCN44NZv0uaDaM8k9IOKFftQe1frx/10Hc/9ml2PTCgVA8a9BwW8b9Itde6bZfnp+QoGNUh91ce6OeO0+x1w0oFOKjQp7gi+w+HEd8VMj7u5bCJJL5v7F6TyKP1XdBCCGE+IkgxQh+9cF+bZdIkN6xnfj9vdiN3vfslTwU2vsg+hFlsqujGU/vO4p9vQNZn+85HMe2Vw+jq6M577dBsWGUf0LCC/2qPaj148cW1GDT8+F51qDhpoz7Sa690G0/PT8hQceIDru59kY9dwcudrvE8MSk6ucjMp9bdbBm7knkKdQJY0IIIeEkSDGCX32wX9slEqR3bCd+fy92o/c9eyUPhfY+iH5EmWxrrMtb6BbZ1zuAtsY62c+CYMMo/4SEF/pVe1Drx7bGOuxR8A9BfNag4aaM+0muvdBtPz0/IUHHiA67ufZGPXcHLna7RE1Fmernc2Q+t+pgzdyTyFOoE8aEEELCSZBiBL/6YL+2SyRI79hO/P5e7Ebve/ZKHgrtfRD9iDKZmppW/Z7S50GwYZR/QsIL/ao9qPWjln8I2rMGDTdl3E9y7YVu++n5CQk6RnTYzbU36rk7cLHbJWLVEWy5YTmeumklnvzCpdi+4TJsvLoF0UgJVrfGEKvOP+/DqoONVUewujUm+5nSPYk8hTphTAghJJyoxQidrTGkZ2Zw5NSoL0op+dUH+7VdIkGJAxNJAUf6R9HdN2iLzPn9vdiN3vfslTwU2vsg2og6nxgXsOPLH8f8OeWq3y8vzZ+y8JMNU4PyTwoVu327H6FftQe1fqyrDNezOoGTuuamjPtJrr3QbT89PyFW8IP/N6LDbq69Uc/dgYvdLjEmpPFyz0nc8ux+3PqDN9H1zG/Q3TeI7Rsuw9+uW5F1WL2IVQdbG43gsXUr8q6xujWGxxXuSeQJyoQxIYQQogelGKGjpQE3rVqM67+zD5/49mu4fUc3TgyNe9TKWfzqg/3aLpEgxIEnhsaxcUc3PvF3r2Htk6/bInN+fy92o/c9eyUPhfY+iDpSnb/hu/+O9d//FQ5/OILOFuXkq/6RVNbf/GTDtKD8k0LECd/uR+hX7UGtHxc1REP1rHbjtK65KeN+kmsvdNtPz0+IWfzi/43osJtrb9Rzdyj1ugGFQOYA+t7suvz7egdQUlSEbevbZH8nKszdz/Vgt6SmvxEHu7CuEtvWtyE+KmBkYhJzKsoQq44EYnLAT9jxLgghhBA/IY0REuOTmJhM4/V3B3DHjm4khTSA2bOD7n6uB9vWt3nm6/zqg/3aLil+jgMz8XHOuVVWZS4I78Vu9L5nL+ShEN8HkUdJ5x/+ySFs33AZUISsz0QZiUZKcPniub6zYXqg/JNCwynf7lfoV+1BrR/D9qx24ZauuSXjfnvXbuu2356fEKP4zf/r1WE3196o5+7AxW4X0HMAvZJA2+Fga6PBmRDwM36eMCaEEELMIMYIR/pHccN3X5f9jlas4gZ+9cF+bZcUv8aBVuJjLYLwXuxG73v2Qh4K8X2QfJR0Pimk0fXMb/DTOzoxNT0jKyNBlhXKPykknPTtfoV+1R6U+jGMz2oHbuqaWzLut3fttm777fkJMYIf/b9eHXZz7Y167jxc7HYBqwfQ+3WSshDhuyCEEBJGrMYqbuBXH+zXdvkdp2WO78Vf8H0QNZ1PCmkMJgVc0lTvYovcg/JPCoUgxJNhoZDsSiE9q17CqmuF/q4L/flJcAm6TXJT96jnzsIzu12AB9ATQgghxM8wViFuQ5kjpLCgzhMSfqjnhLgDdY0Q4idok4hf4M5uFxAPoN99OI5opARdHc1oa6xDamoa9dEyVFfwNRBCCCHEO6SxSi6rW2OIVQcr8zSRFBAfFTA8MYmayjLEqpg96zfCJnNaUCZJoSPq/P5jg1nj4YqyEnw4PBE6nSekECk03x4EGH+Ek0LUNcoyIf7FbptEfSdm4SqrC4gH0N+/6yD+4vImPL3vKJ54tTfz+erWGB5btwIL6ypdaY9oMBLjAqLlpSguKkJpcREaaDgICRSHDh0KxDUJIf5HjFXufq4na4CyujWGx9etcDQ+sGsgk0gKGBgTMAPggV0Hsad3IPOZ27EW0cZLmXObE0PjuOu5nqxzzMIgk05NQnByI5zURiN4fN0KHPsoiW2vHs4aD3e2xnDFBfNQGz3zfakcVJeXIlJSjKFxAdUVlAlC/Eoh+fYgEMT4g/OV+ig0XfNalpViU8ashMxip01yU9/t0GHaAX/BxW6XWFhXiUfWLsdX/+m32CeZfAWA3YfjuPu5Hmxb3+a4MsgZjPaWBtzc3owtLx/Cg9ct823QSwiZZTwxAKAIX/ziFx27x2RKcOzahBB/srCuEtvWtyE+KmBkYhJzKsoQq3Y2ULdrICNe5+LGOnT3DXoaaxH9eCFzbpNICnkyDgRfJp2ahPB6MpM4SzRSgu+82ptno/fk6IPamHX993+FlYvqKROE+JRC8O1BIIjxB+crjVEouua1LCvFpo9cvwwPvfQ7/PxQf9bfGZ+QQsUOm+Smvtsx7uTY1X9wsdtFRiemsnYZSdl9OI74qOD4zik5gyFONrQ11fs26CWEnGEyOQJgBpd8/i7Ma77Q1mufPPDvOPjj72FqasrW6xJCgkFt1L0JErsGMtLrbFi1OGu3YO51nY61iHHclDkviI8KeTIuElSZdGoSwuvJTOI88VEBe3rV9QGA6pi1q6MZT7zaS5kgxMeE3bcHgaDFH5yvNEch6JqXsqwWm379hQO4pKk+a7GbMSspdKzaJLf03Y5xJ8eu/oSL3S4yPDGp+vmIxudWUTMY+3oH0NU+O3Hgt6BXDZaKIIVM9fwmzG36mK3XHD75nq3XI4QEAy/8qV0DGel1UlPTqt91OtYiJBez8b+fY1ynJiGCNjFPjKNXH7TGrIAzMuFnvSOE2EOh6LnX849GCeN8ZdjwSne8lGU1udzbO4CbT8ckUhizEmIep/VdtGMfJQXc3N6MixvrsH3vUSSFdOY7enWYY1d/wsVuF6mpKFP9fI7G51bRMhjiBLGbQa+VYImlIgghhBDjSH1vbWUZIiXF2PTCAdf9qV0DGel1ykuLVb/rdKxFSC5m4n+/n1Pm1CRE0CbmiXH06IPeMSugLhNGZZtjS0LCj5N67rdFdK/nH43ix/lKcgY13amKlDgq+17KspGYRArllBBzOKnvSkdlbF3fhjt2dGcteOvRYS/Hrn6LOfwEF7tdJFYdwerWGHbLZH2sbo0hVu2sUGoZDHGC2K2g18pAg6UiCCGEEOPk+t6NV7d4dsa1XQMZ6XW6jw+hvaUh73kAd2ItQnIxGv8H4ZwypyYhgjYxT4xjx3hYmtSkJBNGZZtjS0LCj5N67sdkGa/nH43it/lKcgY13bnruR58evkCbHr+QObvdsu+l7KsVy5zoZwSYg6n9F3rqAzxmCQRPTrs1djVjzGHn1Df/kJ0kUgKONI/iu6+QRw5NYpEUpD9Xm00gsfWrcDq1ljW31e3xvD4uhWOD6BFgyFHe0sDuo8PuRb0ag00lPpQRE+pCEIIIYScQc73tjXWyS4MA877U7W4RG88kkgKKC0uQufp62zfexQ3tzejvaUh73puxFqksNAzBjAa/7sV41qJxe3QXTevS9zBLn3QM2YVfyMnE2Zkm2NLQsKPU3pudW5L7np65he18Hr+0Sh+mq8k2ajpzp7DccyfU571N7Oyr4SXsqwmlx2SmCS3XZRTQszhlL5rHZXR1liXdS8lHZb66NKSItfHrnbHHGGEO7stkptNEY2UYPOaJbi0qQ5JIZ1XSmBhXSW2rW9DfFTAyMQk5lSUIVbtTqkB0WDc/VxPVoZMe0sDbm5vxo9+3eda0Gv1XAOWOSSEEEKMIed77T7j2kg5JaW4RO9ARozB3jg2iK3r2zA9M4N9vQO4Y0c3ujqacduVLSgvK0ZdZcS1WIu4i5flu4xkVBuJ/92Kca3E4lZ1Vwmnrkuc58TQOO7bdRAXLqhBW2MdTiYm0B8tQ9PcKM6pj2Z9V0sftMasd+zoVpUJM7LNsSUhwcCK33dKz+08s9Pu3Vpezj8axU/zlUHFqbjYTCnv3Yfj+GB4wrb35ZUsq8Wmj1y/DA+/9Lus7zNmJUHA7yWwndB3vXZMTYfl1gC3b7gMM0Ce33bKDvCccG242G2B3GyKaKQEW9e34el9R1VLuNRGvTMiUoORGJ9ENFKCkuIilBQX4Vs3Xuxau8wONESDrHUmZ6S0GEdOjfrOYBNCCCF6cGIAIud77Tzj2swEndmBTG4MJi5wf7njPMytjiBSUoykMDW7S5CxQCjxsnyXmVKoeuN/O8uhqdkRq5P+Tk06BmliHvD/ZJEbJJIC7tt1EJ+7vAlP7zuaVQKwo6UBj92wAufOzV7w1tKHXDmoKi9FpKQYiXEBL27sUJUJNdmORkowPTODI/2jWe+MJfQJ8T9W/b5Tem7XIrqZ2EKPD3Ji/tEp3+eX+cog4mRcbLaU9/uD4zi7psK29yYny27EYVK5HEtNorYyAiE9jYExAV/71IW49zNLkBgXUFXu75iVECA4JbDt9l1aduy8WBVe/e9XoEHGhiSSAvpHUuj7KImb25txcWMdtu89iqSQRtczv8HmNUtw35olGEtNOT52ZYKuNlzstkBuNkVXRzN++KtjaGuqR1d7M1JT06goK8GbfYO4f9dB14IzLWfv5WK7iJmBhtQgb7y6RfFMzvaWBrx88AM88WqvLw02IYQQooZTAxA532vXGdd2TNA1x6p0xye5MVhSSGP73qO4ZH0dHv/Z21nPo3VOa6EvVPkZpffj9fm6TmZU23VOmZYdsWPSXxxTiO/p3fgYaioFy3rkh7GKHoIyWeQ08VEBy8+tRf/wBLram/GFjy/KjIG37z2KTS8cwBMSndRrd+XloEqzPUqyLSamP/TiW9iT4yO23LBcUe86WhpQUcbT3wjxEjv8vlPngJr1p7m2sLSoCG8cG5T9rlxs4ZUPUrrvQ9ctQ2JcQHWFtXg6KDGAn3A6Lo5VR7DlhuWYP6c8a557+96jaGuqky3lLeLkLkOrOmC0IlltNMLYjwQar8fQXpBIChgYE1BcDPzwSx/H0Phklg1LCunMURlXXDAv7/nldL69pQFb17fhjh3dSAppbHr+AH5x5xW4pKne8edhgq42XOy2QG42xcqmelzSWJeX0S6W3RkYc76UQFAcr9GBRq5B3r73KLaubwOArAltaXk7INwGmxBCSPhwcgAi53tFf1oEYG/O5L+R0ktGF/+sxityGa1dHc14et/RvIV7pb4LSsxUqKi9n4nJtKflu5zMqLajlLceO+LWonpYKcTJIiVGU5O4ZukCPPjSW3njMnEiSNRJN+RFSbbVfMQDP34Lj6xdjq8/35PlC9tbGrChvRkP/Pgt7iokxEPsSDJz6qgMM/5UzhZ2tsayJs9zkcYWXvkgtfves/MA2prquenEA5wuazsmpPFyz0ns6c1e7Nm+4TIUFwEbnv5N3m/ExaOGKmf8plUdMBOPMPYjQafQSmCLxyyJ1afkxik//NUxfP7ji3DHjm78dFF9lh4r6bx4na6O5sz6n1s7qp1K3AsTTFG2QG42RW20THYAva93AE/vO4r09IztbUgkBRzpH0V33yCODYzhrn8JxiH14kBjdWss6+9KAw25HVx37OhGW1M9nrppJf75L/8YT920Em1N9XmDA9FgE0IIIX5HzwDELHK+Nymk8X9+3YdvrF2On/1NJ57/61X4xZ1XYNv6NiwwMEFlZPFPa6JAT7wil9Ha1lgnu0NdvLa07+xoA3EOrfczpRFTOz3YdDqjWiyX+Is7r8DOW43rpN6JDCOxuByFrEdO2moR6TjvyKlR3/ZnXWUED+csdANnxsBdHc1IjE/iWHwMd/3LfzouL0qyveo8+SomAPDKoX6MC1O45PTY8skvXJo1tnzlUD/Hk4R4iF1JZlb9qxxG/amS79xzOJ6xmXJIYws3fFAuiaSAk4kJxfvu6x1AW2Ndpg1hjwP8hJNJmBl57c1f7Hnyl71YUFOBtqa6rM/ETUjb9x51bJehlg6cTEwoxk9m41cv9I4QOymEEtji+On3H47grn/5T1y4oEZxre7Zfe/hC6cXupNCOk+P1XRe6vMA93ZU2zGGDzvc2W2B3GyK0pIixQH0vt4B2xe7czPRnrppZV4AIuLHDB0jZ/LJGeSkkM5k0PzTX/4xbnl2v+K9wmCwCSGEhB+nByBS3zs0LiA1OY3X3x3ANf9jD5JCOpPRbjReMLL4Z0dGsVxGa2pqWvU30r4rtKzmoKH1fqY1YmqnB5tuZFRbKeOp145YPR+7kPXIaVsdpB3zQno6qyy4lH29A+hqb8bEZBq9p0YVv2e3vMjJdmJcfRI6MT6VVZ0tF44nCfEOO5PMnCiTbcSfak2ed7XnL3bnxhZuL1iIPmn95U2q35PG4mGPA/yEk0mYWrHexNQ01qxYmDnKs7y0GN3Hh3DHjm6sXFTv2C5DLR14Nz6GW3/wJoD8+Mls/FoIC4Uk3IS9BLZ0/DS7RjaADe3NivH9nt44NrQvztowKdVjLZ0XfZ7bO6qtjuHDDnd2WyA3m2JwTF0J5EoRmUUuE83IJK9fqI1GcP78alzSVI/z51crKqaWQa6pUM/bCLrBJoQQUhi4MQCpjUYQq47gH35+GJ//X7/CE6/2ZmIUszsxxMU/OZyYoJPLaC0vVQ9rpX3HyQp/o/V+xMQMOdwYbPo9o9qIHdEbi8tRyHrkpK0O2o750dSU5ndef3fA9bFqnmxXqss2x5OE+BcjcaZX6PWnWr4zF7nYws0FC6lP0oq1cz8PcxzgJ5zUDy15HUtN4YoL5uHZ19/DrT94E7c8ux9PvNqLlYvqHY2JtXRAKou58ZPZ+DXsC4Uk/ATBl5old/wkjju0xh+5n0v1WI+d8Wr8b2UMH3a42G0RaRkkLaNQW2mf45PLRDMyyRs0tAxyfVV4DTYhhJDCwa0BiN1l2Iws/tk1UZBbirJlXrXuvuNkhb/Rej+1lWWeLzY7UQrVLtyyI4WsR072cdDKZGrJwfyacmzfe9TzsSrHk4QEF78nmRlBy2Y2zY1qxhZuLlhIfVL38SG0tzTIfk88o1lKmOMAP+GkfuiJ9byIidV0QE4WpfGT2fg1zAuFpDAIky/NJXf8JI47jCRp5eqxms53tsbQMq/aN+N/cgaWMbcBsQxSIikoljTsbI2htKQIiaQ9ZXzkMtHEwFOulHrQHa9okO9+rierf0WDfFZNhernQTbYhBBCCgclf9fZGsP91y7FwJiQ+Z4VnNiRqbeckp0loHNLUeqNBdwoQ03Mo+f91EYjnpfvcqIUqh1oxc12tbmQ9cjJPg7ajnk1OehsjeEXh/qRFNKej1U5niQk2Pi5bGciKSA+KmB4YhI1lWWIVSm3S8t3zp9TrvlMbvl5INsnbd97FFvXtwFAli0Xz2i+Y0d3VlvCHAf4DSv6oSa/emM9t2NiJR2Qk0URMX4yG7+6qXeEOIWTvtSIL7Sb3PGTOO5QG39IE2Pk9FhL57nI7U+42G0DojKPpibx0HXLcN+ug3nO9qZVi3HN/9iDlYvqbTlrTS4TTSnwDIvj1TLIfh78EEIIIXpROlf7s9v2Zp2rbSWWcGpHpp6JjtpoBI+vW4F/+/0pzJ9TjtTUNCrKSvDh8ASuumCeJb+tNxbgZIW/0ft+/LrYbAdWJwvciIuTQhq3XtWC9MxM1tijs0D0yKk+9vuO+VzZrCwtxm0KcvDwdcvw6a17APhjrMrxJCHBxo9+X3pGqIharK4W4zy6djkGxgS8Gx/T9P1u2SupT0oKadyxoxtdHc3oam+GkJ5Gc6wK3X2zZzSLxyIxnvYGM/qhJb9q8vrQdcvw3sAYqscEVxe1RHJ1oKKsBC8dOJkli1LE+MnKOJBxAgkDTvhSo77QbnLHT//n133YvuEyjKWm8NkVC/DIS4ewpzffhg2PC1h7yTmKekydDx5c7LZIrjJHIyXYvGYJ7vnMRfjD0DhmZmazSURnK54Vsm19myXFkMtEEwPPzWuW4IHPLsVYaip0SqhlkP04+CGEEEKMIvqyB158S/HcViuxhNc7MmcAvNxzMm/AccUF8yxfW28swIGLvynk92PXZIGTcXEiKeBrz/XgjWODmUnv1NQ0ykuL0T+SQjRS4sh9/YYTfey1fVZDTjY7WhpwS8d5uGzxXFk5WLmoHrsPx/MWSYDZcr16djHaCceThBC7yD0jVEQrVpeLcSrKinH/j9/Czw/1Z76n5fvdsFe5PikppPHEq72Z9m1b34YFy87G5YvnFly8FnT0ym+uvFZGSvBm3xA+vXVPVoKDW4taUqQ6kEgK6Dk+JLvQnRs/WRlnME4gJBuzvtBOpL4qGinBY+tW4PGfvY19vQOIRkrQ1dGMv77yfERKi1EfjUj0vUrz2tT5YMHFbgvIKXNSSGPT8wfQ2RrDxY11mSBQinhWiJKi6NnJoZSJtnJRPa68YB5LKRBCCCEBR8+5rWaDbi93Nmfip17vBkMifhi4eFnuy+/44f2IuPWe/DBZoAepfZIb71y+eK4v2hlE/Fp5Qkk29/YOYAbAZYvnovv4ENoa65CamsZZNRWYENJZzyIukrD8HyEkDFiJ1XMX6Tbu6Hbd91uZe5SrtkOChRH5FeXVK1kVUZNZo/GTn8YZhAQZJ+et9CLV/xWNdXh639FMJSlx/CGOQfwynibOwMVuC6gp857DcWxYtVjxt0pnrRnZyVHIO14IIYSQsOP0ua1exRF+GAz5Ba/LfRF9uPmegqIfQTtXOmj4cZynJpv7egdw9zUX4rGfvp2V/NDZGsPfrlvhu2chhBA7sMsXeuH7OfdIzMivl3GqHpmlrBLiPn4ZFxYBuGb5Aiw7p0Y2GRvw13iaOEOx1w0IMlrKnJqaVvxM7qw1rZ0ciaSQ95vaaATnz6/GJU31OH9+NZWVEEIICQlunNvqRRzhl8GQ15iJ+4j7uP2egqIffj9XOgz4bZynJZv9w6mss7iB2QTwu57rAQBfPQshhNiBXb7Qbd/PuUcCmJNfr+JUIzJLWSXEXfwwLhSP2Nr0/AEc/2hc9bt+GU8TZ+BitwW0lLmuUv5zpbPW9GTIEUIIIaQwEM8dksPrc1ut4IfBkB9g3BcM3H5PQdGPsNonooyWbCpBe0YICSt2+UK3fT9jUAKYk1+v4lTKLCH+xQ/jQqmNKC9VX+70y3iaOAMXuy2gpsydrTGcU1+JzpzP1c5acyNDLpEUcKR/FN19gzhyapS7hgghhBCfIp47lBtreH1uq1XsHAwFOa4xE/cF+XmBYLbf7R0sfpgskCP33QEIpX0iyqiOfVti6D4+pPjbsdRkIPWfEELUbJddsbrbvj8oVWScptD9Um00gi03LMcPv/RxPPmFS7F9w2XYeHULPnnRfEX59SpO9YPMFrq8EKKEW/NWajootRHdx4fQ3tIgew0vxtO0He7CM7stICrz3c/1YLckw6yjpQE3rVqMdd99HZ+7vAl/fcX5KC8rRl1lRPWsEKcz5HguJCGEEBIswnjumFL8ZHQwFPS4xmjcF/TnDWr73d7BYpd+2InSu3ucZzEXFKJs5spCe0sDHrxuKdZs2yv7u2ikBDWVEWzc0R04/SeEFDZunRHstu8PShUZJwlqXGonJ4bGcffzB7L6oLM1hi1rl2OBQh94Fad6LbOUF0LUcXreSksHpTZi+96j2Lq+DQCyjljyYjxN2+E+XOy2iFSZE+OTmJhM4/V3B3DHjm4khTSeeLUXT7zai9WtMWxb36aqUGKG3G6Z0ixWM0+0zjfRahshhBBCvKE2Gr7FI6uDoTDENUbivqA/b5Db72R8roSfklzU3t1dp9/d+fOrXW8X8YaqSAk+vXwBNqxajNTUNMpLi9F9fAgv9pzApU112JtzZjcAbF6zBJt3HsSe3uDpPyGkcDESu9gRq7vp+72IbfxEkONSu1Dqgz2H4/j6CwdU+8CLONVLmaW8EKIPp+at9Oig1EYkhTTu2NGNro5mdLU3AwCa5kYxf065q7pK2+ENXOy2AVGZj/SP4obvvi77HfEMETUhdjJDTs/5JlQwQgghhLiFlcFQGOIaI3Ff0J83yO33ageLX5JcgvzuiP3ERwVsev5A3t+jkRJsXd+GoqKivJ0LlzbVyf4GoAwRQvyLF/7PLd/vxyoybsLYxnofuB2neimzlBdCvEWPDp4/vzrLRogbUEUboVStwkloO7yBi902YscZIk5lyPnhfBNCCCGEEDsIS1yjN+4L+vMGvf1+2mntNkF/d8RelORB3EGx67Z2FBcVZenJu/Ex1WtShgghfiTs/o+xjTJBf7d6CGIfeCWzQewrQsKEXh30m1+j7fAGLnbbiF1niDiRIef1+SaEEEIIIXYRprhGT9wX9OcNevsB/+y0dpswvDtiH2rykBTSKC4qyitrX1MhqF6TMkQI8SOF4P8Y28gThnerRVD7wAuZDWpfERIWjOign/wabYc3FHvdgDAhng8gh9fn3vi5bYQQQgghRii0uCbozxv09hcyfHdEihl5oAwRQoIIbVd44btlHxiBfUWItwRVB4Pa7qDDxW4bEc8QyRVkP5x74+e2EUIIIYQYodDimqA/b9DbX8jw3REpZuSBMkQICSK0XeGF75Z9YAT2FSHeElQdDGq7g05oy5i/9957ePjhh/Hqq6/igw8+wMKFC/HFL34R99xzDyIR54TJb+cDBKVthBBCCCFGKLS4JujPG/T2FzJ8d0SKGXmgDBFCgghtV3jhu2UfGIF9RYi3BFUHg9ruIBPaxe63334b09PT+Md//Ee0tLTg4MGD+PKXv4yxsTF861vfcvTefjofIBc/t40Qr+jr60M8Hrf9uocOHbL9moQQQs5QaHFN0J836O0vZPjuiBQz8kAZIoQEEdqu8MJ3yz4wAvuKEG8Jqg4Gtd1BJbSL3Z/61KfwqU99KvPv8847D++88w6++93vOr7YTQgJDn19fbjwwoswPp507B6TKcGxaxNCCCGEEEIIIYQQQgghhBQqoV3sliORSGDu3Lmq30mlUkilUpl/Dw8PO90sQogNmNXdeDyO8fEkPt51P2oWLLa1TScP/DsO/vh7mJqasvW6hIQJ+l1Cggf1lpBgQt0lJJhQdwkJJtRdQoIH9ZaQ4FIwi91HjhzBtm3b8O1vf1v1e1u2bMGDDz7oUqsIIXZhVXdrFizG3KaP2dgiYPjke7Zej5AwQr9LSPCg3hISTKi7hAQT6i4hwYS6S0jwoN4SElyKvW6AUR544AEUFRWp/rd///6s35w4cQKf+tSncOONN+JLX/qS6vU3bdqERCKR+e/48eOabUokBRzpH0V33yCOnBpFIsmSxYS4jRndJYR4D3WXGIVxl/dQb+2BskzcxqzuUlYJ8Rb6XaIE7bO/oe5mQ3klQYB6SwqRsNjnwO3s3rhxIz73uc+pfmfx4sWZ/z9x4gSuuuoq/PEf/zG+973vaV6/vLwc5eXluttzYmgcdz3Xgz2H45m/rW6N4bF1K7CwrlL3dQgh1jCqu4QQf0DdJUZg3OUPqLfWoSwTLzCju5RVQryHfpfIQfvsf6i7Z6C8kqBAvSWFRpjsc+B2dsdiMVx44YWq/1VUVAAA/vCHP+DKK6/EpZdeiqeffhrFxfY+biIp5AkCAOw+HMfdz/UENgOCEEIIIcRvMO4iYYGyTIICZZUQQvwJ7TMJEpRXQgjxJ2Gzz4Fb7NbLiRMncOWVV6KxsRHf+ta3cOrUKXzwwQf44IMPbLtHfFTIEwSR3YfjiI8GSxgIIYQQQvwK4y4SFijLJChQVgkhxJ/QPpMgQXklhBB/Ejb7HLgy5nr5v//3/6K3txe9vb0499xzsz6bmZmx5R7DE5Oqn49ofE4IIYQQQvTBuIuEBcoyCQqUVUII8Se0zyRIUF4JIcSfhM0+h3Zn94YNGzAzMyP7n13UVJSpfj5H43NCCCGEEKIPxl0kLFCWSVCgrBJCiD+hfSZBgvJKCCH+JGz2ObSL3W4Qq45gdWtM9rPVrTHEqiMut4gQQgghJJww7iJhgbJMggJllRBC/AntMwkSlFdCCPEnYbPPXOy2QG00gsfWrcgTiNWtMTy+bgVqo8ESBkIIISQIJJICjvSPortvEEdOjSKRDNYZMsQcjLtIUMm1WQAoyyQQ1EYjeHTtcnRSVgkhYAzuJxgXh5cw6hnllRBSqPjdpofNPof2zG63KAJwzfIFuGnVYqSmplFeWoz+kZTXzSKEEEJCyYmhcdz1XA/2HI5n/ra6NYbH1q3AwrpKD1tG3GBhXSW2rW9DfFTAyMQk5lSUIVYdCVwATgoHJZv1+LoVlGXie04MjeOBF9/CxY112HB6vFtXWYZFDVEsoM8lpKBgDO4/GBeHjzDrGeWVEFJoBMWmh8k+c7HbAomkgK/lCKzI6tYYtq1vC6RQEEIIIX4kkRTyAkUA2H04jruf66HfLRBqo8EMuknhoWaz7jpts86fX+1R6whRRyq/Pz/Un/UZx7qEFBaMwf0L4+LwUAh6RnklhBQKQbPpYbHPLGNugfioILvQDcwKbnzUX2UJCCGEkCBDv0sICRK0WSTIUH4JISK0B4Q4D/WMEELCA226N3Cx2wLDE5Oqn49ofE4IIYQQ/dDvEkKCBG0WCTKUX0KICO0BIc5DPSOEkPBAm+4NXOy2QE1FmernczQ+J4QQQoh+6HcJIUGCNosEGcovIUSE9oAQ56GeEUJIeKBN9wYudlsgVh3B6taY7GerW2OIVQe/zj0hhBDiF+h3CSFBgjaLBBnKLyFEhPaAEOehnhFCSHigTfcGLnZboDYawWPrVuQJ7urWGB5ftyIUh7oTQgghfoF+lxASJGizSJCh/BJCRGgPCHEe6hkhhIQH2nRvKPW6AUFnYV0ltq1vQ3xUwMjEJOZUlCFWHaHAEkIIIQ5Av0sICRK0WSTIUH4JISK0B4Q4D/WMEELCA226+3Cx2wZqoxRSQgghxC3odwkhQYI2iwQZyi8hRIT2gBDnoZ4RQkh4oE13F5YxJ4QQQgghhBBCCCGEEEIIIYQQEji42E0IIYQQQgghhBBCCCGEEEIIISRwcLGbEEIIIYQQQgghhBBCCCGEEEJI4OCZ3RrMzMwAAIaHhz1uCSGFzZw5c1BUVKT7+3p1d3R0FACQeP9dTE+lzTdQ7tr9f5htwwfvoby83PfX5bXdu25Qrz3ywbHZ64+O6vaLTukuIcQ5qLeEBBPqLiHBhLpLSDCh7hISPKi3hAQTPbpbNCNqLJHl/fffR2Njo9fNIKTgSSQSqKmp0f196i4h/oC6S0jwoN4SEkyou4QEE+ouIcGEuktI8KDeEhJM9OguF7s1mJ6exokTJwxn/QSB4eFhNDY24vjx44aMfNDgc4YDozrolO6GqZ/5LP4kTM8C+Ed37SJs78cp2E/68Gs/Oam3fn1mPbDt3sC268cu3Q1yn6vB5woWhfRcQYiXg/4+gt5+IPjPEMb2+0F3g96vQYH97A5u9LMf9FaNQpW1QnxuPrOxZ9ajgyxjrkFxcTHOPfdcr5vhKDU1NQWhUHzOwsJp3Q1TP/NZ/EmYnsUIQfG7hfp+jMJ+0kfQ+8mM3gb5mdl2b2Db7UdLd/3abqvwuYIFnysfL+PloL+PoLcfCP4zFHL7ndTdoPdrUGA/u4Of+tkrn+unPnCTQnxuPrN9FNt+RUIIIYQQQgghhBBCCCGEEEIIIcRhuNhNCCGEEEIIIYQQQgghhBBCCCEkcHCxu4ApLy/H/fffj/Lycq+b4ih8TmInYepnPos/CdOzhBG+H32wn/RRiP0U5Gdm272BbXefoLZbCz5XsOBz+Yugtlsk6O0Hgv8MbL8z+LVdYYP97A7s58Ltg0J8bj6z/RTNzMzMOHJlQgghhBBCCCGEEEIIIYQQQgghxCG4s5sQQgghhBBCCCGEEEIIIYQQQkjg4GI3IYQQQgghhBBCCCGEEEIIIYSQwMHFbkIIIYQQQgghhBBCCCGEEEIIIYGDi92EEEIIIYQQQgghhBBCCCGEEEICBxe7CSGEEEIIIYQQQgghhBBCCCGEBA4udhNCCCGEEEIIIYQQQgghhBBCCAkcXOwmhBBCCCGEEEIIIYQQQgghhBASOLjYrcHMzAyGh4cxMzPjdVMIIQag7hISTKi7hAQP6i0hwYS6S0gwoe4SEkyou4QED+otIcGBi90ajIyMoLa2FiMjI143hRBiAOouIcGEuktI8KDeEhJMqLuEBBPqLiHBhLpLSPCg3hISHLjYTQghhBBCCCGEEEIIIYQQQgghJHBwsZsQQgghhBBCCCGEEEIIIYQQQkjg4GI3IYQQQgghhBBCCCGEEEIIIYSQwMHFbkIIIYQQQgghhBBCCCGEEEIIIYGDi92EEEIIIYQQQgghhBBCCCGEEEICR6nXDSg0EkkB8VEBwxOTqKksQ6wqgtpoxOtmEUJCCO0NIYQQUhjQ55OgQtklhBBCX0D8BmWSEKIX2gv/wMVuFzkxNI67nuvBnsPxzN9Wt8bw2LoVWFhX6WHLCCFhg/aGEEIIKQzo80lQoewSQgihLyB+gzJJCNEL7YW/YBlzl0gkhTzBB4Ddh+O4+7keJJKCRy0jhIQN2htCCCGkMKDPJ0GFsksIIYS+gPgNyiQhRC+0F/6Di90uER8V8gRfZPfhOOKjFH5CiD3Q3hBCCCGFAX0+CSqUXUIIIfQFxG9QJgkheqG98B9c7HaJ4YlJ1c9HND4nhBC90N4QQgghhQF9PgkqlF1CCCH0BcRvUCYJIXqhvfAfXOx2iZqKMtXP52h8TggheqG9IYQQQgoD+nwSVCi7hBBC6AuI36BMEkL0QnvhP7jY7RKx6ghWt8ZkP1vdGkOsOuJyiwghYYX2hhBCCCkM6PNJUKHsEkIIoS8gfoMySQjRC+2F/+Bit0vURiN4bN2KPAVY3RrD4+tWoDZK4SeE2APtDSGEEFIY0OeToELZJYQQQl9A/AZlkhCiF9oL/1E0MzMz43Uj/Mzw8DBqa2uRSCRQU1Nj+XqJpID4qICRiUnMqShDrDpCwSfEAezW3SBCe0OCCHWXkOBBvfUe+nxiBj/oLmWXEOP4QXcJsZNC8QXU3eBQKDJJtKHeEi1oL/xDqdcNKDRqoxR2Qog70N4QQgghhQF9PgkqlF1CCCH0BcRvUCYJIXqhvfAPLGNOCCGEEEIIIYQQQgghhBBCCCEkcHCxmxBCCCGEEEIIIYQQQgghhBBCSODgYjchhBBCCCGEEEIIIYQQQgghhJDAwTO7HUA8lH54YhI1lWWIVbFuPyGFAHWfEEIIIWGEMQ6RQnkghBASdOjLiBEoL4R4C3WQ6IGL3TZzYmgcdz3Xgz2H45m/rW6N4bF1K7CwrtLDlhFCnIS6TwghhJAwwhiHSKE8EEIICTr0ZcQIlBdCvIU6SPTCMuY2kkgKeYoHALsPx3H3cz1IJAWPWkYIcRLqPiGEEELCCGMcIoXyQAghJOjQlxEjUF4I8RbqIDECF7ttJD4q5CmeyO7DccRHqXyEhBHqPiGEEELCCGMcIoXyQAghJOjQlxEjUF4I8RbqIDECF7ttZHhiUvXzEY3PCSHBhLpPCCGEkDDCGIdIoTwQQggJOvRlxAiUF0K8hTpIjMDFbhupqShT/XyOxueEkGBC3SeEEEJIGGGMQ6RQHgghhAQd+jJiBMoLId5CHSRG4GK3jcSqI1jdGpP9bHVrDLHqiMstIoS4AXWfEEIIIWGEMQ6RQnkghBASdOjLiBEoL4R4C3WQGIGL3TZSG43gsXUr8hRwdWsMj69bgdoolY+QMELdJ4QQQkgYYYxDpFAeCCGEBB36MmIEygsh3kIdJEYompmZmfG6EX5meHgYtbW1SCQSqKmp0fWbRFJAfFTAyMQk5lSUIVYdoeIR4jJmdNcq1H1CrOOF7hJCrEG9DT+MccKJWd2lPBDiLfS7hFjHC19G3Q0ujH0KF+qtP6AOEj2Uet2AMFIbpbIRUohQ9wkhhBASRhjjECmUB0IIIUGHvowYgfJCiLdQB4keWMacEEIIIYQQQgghhBBCCCGEEEJI4OBiNyGEEEIIIYQQQgghhBBCCCGEkMDBMuY+RDyDYHhiEjWVZYhVsUwDIUGEukwIIYSEA/p0QrShnhBCSHCgzSZBgzJLCFGDNoKEerF7y5YteP755/H222+jsrISq1atwuOPP46PfexjXjdNkRND47jruR7sORzP/G11awyPrVuBhXWVHraMEGIE6jIhhBASDujTCdGGekIIIcGBNpsEDcosIUQN2ggChLyM+WuvvYbbbrsN//Ef/4FXXnkFU1NT+NM//VOMjY153TRZEkkhTykBYPfhOO5+rgeJpOBRywghRqAuE0IIIeGAPp0QbagnhBASHGizSdCgzBJC1KCNICKh3tn9s5/9LOvfTz/9NObPn4833ngDq1ev9qhVysRHhTylFNl9OI74qMDSC4QEAOoyIYQQEg7o0wnRhnpCCCHBgTabBA3KLCFEDdoIIhLqxe5cEokEAGDu3LmK30mlUkilUpl/Dw8PO96uzL0mJlU/H9H4nJBCxkvdzYW6TIh+/KS7hBB9FJLe0qeTMOGU7lJPCHGWQvK7xHlos92DumsPlFniJtTb4EEbQURCXcZcyszMDO688050dHRg2bJlit/bsmULamtrM/81Nja61saaijLVz+dofE5IIeOl7uZCXSZEP37SXUKIPgpJb+nTSZhwSnepJ4Q4SyH5XeI8tNnuQd21B8oscRPqbfCgjSAiBbPYvXHjRvT09GDHjh2q39u0aRMSiUTmv+PHj9vajkRSwJH+UXT3DeLIqdGsMwNi1RGsbo3J/m51awyxapZbIEQJp3XXCIWoy2q2jRA1/KS7hBB9OKG3fvUjhejTSXhxyue6qSd+tRWEOAnj5cLGbrvH2MY9qLv60JJxyixxE+pt8AiLjeA4xzpFMzMzM143wmluv/127Ny5E7t370Zzc7Oh3w4PD6O2thaJRAI1NTWW2nFiaBx3PdeTdYbA6tYYHlu3AgvrKjPfufu5HuzO+c7j61ZgwenvEEK0sVN3zVBIuqzHthGiF691lxBiHKt663c/Ukg+nRQWdo91ndYTv9sKQtyC8XLh4JTdY2zjDdTdfPTKOGWWeAX1NhgE3UZwnGMPoV7snpmZwe23344XXngB//Zv/4bW1lbD17DLoCWSAjbu6M4SWJHVrTFsW9+G2mgk8934qICRiUnMqShDrDqS+YwQog8/BCOFoMtGbBshevCD7hJCjGFFb4PiRwrBp5PCw26f66SeBMVWEOIGjJcLA6ftHmMb96HuZmNUximzxAuot8EhqDaC4xz7KPW6AU5y22234Yc//CF27dqFOXPm4IMPPgAA1NbWorLS3YyI+KggK7AAsPtwHPFRISO0tdFgKCIhRJ1C0GUjto0QQgjJJSh+pBB8OiFWcVJPgmIrCCHELpy2e4xtiNcYlXHKLCFEjaDaCI5z7CPUZ3Z/97vfRSKRwJVXXokFCxZk/vvRj37keluGJyZVPx/R+JwQQvwIbRshhBAr0I8QQvRAW0EIKTRo90jYoYwTQghtoZ2Eeme3nyq011SUqX4+R+NzQgjxI7RthBBCrEA/QgjRA20FIaTQoN0jYYcyTgghtIV2Euqd3X4iVh3B6taY7GerW2OIVbMUASEkeNC2EUIIsQL9CCFED7QVhJBCg3aPhB3KOCGE0BbaCRe7XaI2GsFj61bkCe7q1hgeX7eCdfcJIYGEto0QQogV6EcIIXqgrSCEFBq0eyTsUMYJIYS20E6KZvxU69uHDA8Po7a2FolEAjU1NZavl0gKiI8KGJmYxJyKMsSqIxRYQhzAbt0l6tC2Ebug7hISPOzQW/oRQtwniD6XtoKQYOouMQ/tXnig7spDGSd+hnpL3IK20DqhPrPbj9RGKaR2ICr/8MQkairLEKtivxLiJXpsG/WWEEKIEoyR/Qv9N/ETQbUV1CNCiFmCavf8Bu2wf6GM64MyTEhw0aO/tIXW4WJ3AKAzy+bE0Djueq4Hew7HM39b3RrDY+tWYGFdpYctI8Q/+M1uUG8JIYS4id/8YFCh/yZuEWadpR4RQuwmzDbTCWiHgwHlWhnKMCHO4bTtof66B8uYa+B1qQoqQzaJpICNO7qz+kNkdWsM29a3MRAiALzXXS/xm92g3hIjFLLuEhJU/Ka3fvODQYX+O/z4RXfDrLPUI+IEftFd4g1htplO4Cc7TN1VhnKtjJ9kuBCh3oYbp20P9dddir1uAFEmkRTylA0Adh+O4+7nepBICh61zDvio4KscQBm+yU+Wnh9QogUP9oN6i0hhBC38KMfDCr038QNwq6z1CNCiJ2E3WY6Ae2w/6Fcq0MZJsQZ3LA91F934WK3j6Ey5DM8Man6+YjG54SEHT/aDeotIYQQt/CjHwwq9N/EDcKus9QjQoidhN1mOgHtsP+hXKtDGSbEGdywPdRfd+Fit4+hMuRTU1Gm+vkcjc8JCTt+tBvUW0IIIW7hRz8YVOi/iRuEXWepR4QQOwm7zXQC2mH/Q7lWhzJMiDO4YXuov+7CxW4fQ2XIJ1YdwerWmOxnq1tjiFUH74yDRFLAkf5RdPcN4sip0YIvz0Os4YXd0JLhMOotIYQQf8L4ORsrcSb9N3GDsOusk3rEcSQhhUfYbSZgv21jPON/CkGurUAZJsQZ3LA9VvWX8b4xSr1uAFFGVIbdCgfYF6Izq41G8Ni6Fbj7uZ6sflndGsPj61agNhqsPjkxNJ53NsTq1hgeW7cCC+sqPWwZCSpu2w09Mhw2vSWEEOJfGD+fwWqcSf9N3CDsOuuUHnEcSUhhEnab6YRtYzzjf8Iu11YRZThXN9pbGnDrVS1ICmnURj1sICEBxQ3bY8UHMd43TtHMzMyM143wM8PDw6itrUUikUBNTY3r9z8xNK6oDAscEOpEUkB8VMDwxCRqKssQq4r4MvAT2zkyMYk5FWWIVfuznXKIbU/PzODhF9/Cnt6BvO+sbo1h2/q2wDyTH/Fad73ELbuRSArYuKNb9nwTUYaB2TNQRlOTqItGIExNYyw1haryUkRKijE0LqC6wr+2hrhPIesuIUHFK71Vilvdjp/dRG+srsdH6/W7QY67iTp+8bl+1Fm7x8V26pGafne2xvDI9ctQV1lGPQ0xftFd4h6iDRlNTaK2MoL7dh30lc3MxYwNtTN2UWuTl/EMdVcZI7FAUOau7UB81mnMYP/RjzC/pgKpqWmUlxaj+/gQtu89ipWL6jmH7CDU23Dj5hx6/0gKifFJRCMlqCovVY3XnfaJXuOUHefObp+zsK4S29a3uRKQBSlbpDYazEBG2sdP3bRSdqEbAHYfjiM+KgTyGYn3uGU34qOCrNMFZmX4g+EJPPKTQ3k25ZHrl+Ghl36Hnx/qz/q7H20NIYQQf6IVt7oVP7uJkVhdy0cbiTODGneT4OA3nXVqZ6Fdz6Om33sOx9HbP4pnX3+PsTUhISHXJkUjJdi8Zgnu+cxFGBfSntvMXMzaUDtjFzkYz/gbvbFAkOaurZI7h7zphYOy3+McMiHmcWscMiak8dBLv9Ntu5z2iV7ipB3nYncAcCogk2ZQVJeXYv+xQbxxbDDrO7sPx3H3cz2eZouEJWMvkRSyFDk1Na36/ZGJSTeaRUKKGwO5YQ0ZfX9wPM8x7z4cx9dfOIBLmuqzFrvN2BonbUNY7A4hhISR3JhKJNeXKO14DqJ91/vM4vMNjAnYvuEyvNk3iO17jyIppLN+xziT+A2/LEIY1TUvbIk0Bo9GStDV0Yy2xjqkpqZRUVaC+mgZ9h8b9HwcTwixjtQm5er7R2MCzptXjbNqKrxuZgY1G3r/roN4ZO1yjE5MydpOrfkFxi7hRysWCIKPtgvxWd84NoiNV7dg3pxyPPmFS1FRViIb31M/iFcEQd+02uj0OESv7ZISVp9opi+MwMXuAkUug6K9pQFb17fhjh3dWQ7Ty2yRMGXs5WbklJcWq35/TkWZ000ixBI1JmV0b+8Abm5vzvu7EVvjpG0Ik90hhJAwYjbLOcj2XeuZB8YEjAlp3fE940xC5DGra27aEjEGj0ZKsHV9G57edxRPvNqb+byzJZbR+yDv+iCEnLFJivp+utSqX+IYJRsajZTgLy5vwlf/6bdZFQ6ltlNrfoGxCwmCj7aL+KiAN44Nyuq9XHxP/SBeEITxtR/aaGb+Iqw+0ekd6+qrbSSUKGVQ7OsdwNP7jqKrI38RyotsEa1Mj0RScL1NVsjNyOk+PoT2lgbZ765ujSFWzUkJ4m9i1RGsbo3JftbZGkP38SHF3ypVNtBja5y0DWGzO4QQEkbMZDkH3b5rPXN6ekZ3fM84kxBlzOqam7ZEjMG7Oprx9L6j2JdzNNae3nhG74O664MQMotokxT13WdxjJINFdufe5Sf1HaqzS8wdiFAMHy0XQxPTCrqfW58T/0gXhCE8bVf2mhm/iKsPtHpHevc2V0A5JZqmJ6eUcyg2Nc7gC6ZHZdGs0XMlLAw0s4gnk2Qm5Gzfe9RbF3fBgBZgcvq05m5QXo2El7UdLk2GsFj61bg7ud6sDsnQ+6h65bh01v3ZP6WW3KtaW4UG69uySu9pMfWOJkFZue1g1DKhxBCgoLUplZGSmR9iIicL3HrzCsl22/VJ2hldqd1xveMM0kho0cPayvLsPHqlqyy4NJyoWq65tYYVYzB34uPZe30kiLqfVB3fRBSSKjZJtH/tzXWKeq7Gdujdk8rMYtSvKKn/efPr1acX2DsEk6MypqVeFiqJ17M1Zh5VjW9Ef089YN4hZ/OlFbSL7+0saaiTPboIXGMIRevq825B1nnnd6xzsXukCNXquGpm1aq/iZ3x6XRbBEz5SHMtDNoWepiRo5ooJJCGnfs6EZXRzNuu7IFFWUlqK0sQ6yaC2LEH+jR5YV1ldi2vg3xUQEjE5OYU1GWsRcrF9Vjt0rJtdzSS3ptjZNZYHZd2w9lcgghJCzI2dQOhfLcSr7EjTOvlGz/I9cvw0Mv/Q4/P9Sf9XcjPiE3jpSyujWGpDCl+vs5FWX4xZ1XMM4kBYve2CxSUozuvkHZmPVHv+7T1DW3xqgL6yrxQWJc83tB3fVBSKGgZZtE/69UGU3EiO1Ru2cRgK9ZGMcqxSt62680v8DYJXyYmTOxGg+PTEx6Mldj9lnfGxhTvW5tZZnl820JMYtfzpRW068hjZ3bbrUxVh3B9g2XYdurh/PGGNs3XKYYr4fRJ2rZcatjF5YxDzFKpRq0kJ4lbTRbxEx5CLPtDFqWupiRIy1BkRTS6Dk+hOZYFS5dVI/z51cH2mCR8GBEl2ujEZw/vxqXNJ2RYam86ym9ZMTWOJkFZse1/VImhxBCwoCSTd3bO4BnZMpzK/kSpzOI1Wz/1184gAsX1OT93YhPkIsjAckzV6r7z4aqCONMUrDojc0SSQGbXjggG7M+s+8oHrh2qaauuTlG1WrL2TUVLrWEEGIGPbZJ9P91lfbEMVr3/Lffn7I0jlWKV4y0X25+gYQLs3MmVuPhqvJS1+dqrDzrufXqi+/10WAvepFg44czpbX0q6REfenTzbj9O6/2yo4xvvNL+eoNImHziZp23OLzcWd3iFEq1SCeFZ2rYMCsYLXMq8bOW1eZyhYxUx7CbDuDmKUexowcEk7sKPUiyvvJxIRq6aXNn1mCL3c069YDJ7PA7Li2X8rkEEJIGFCzqXt7B3DvZ5bgTy6crxlTOZ1BrNXOm2WOCTLqE9TiyERScPT5CAkyemMzLT2emJx23JYYIVYdQWdrTLbNnS0NeOXQh/jsioWMOwnxKXpt08K6SpQUFynquxHbo3XPm1Yt1myPFnLxSnVFqW9sJ/EeK3MmVuLhSEmx63M1Vp717JoK6g3xLX6IibX066t/9jHFtaVOF3UoPipgT698O/cU4Dyxk+tjXOx2AL+c06pUTkI8K7q4qCivxMPj61ZgQV0lFqHK1nuKyJWHkP5Gen6BkJ7Gp5aejQN/SODhl36XKVEZ9LMJapl5RyT4xV7kYlc5mtpoBO/G1UsvTUymDT2zk+eW2HFtub6T2raBMQE4Neqbd00IIX4lkRSQmkrjyS9cmndursjEZBqXNNVrXsvpM6+0/KZS+U6jpdOU4ki554tGSrB5zRJc2lSHd+NjqKkU6HuIY/g1pgX0x7V6vuenM2VroxE8cO1S3LfrYNYkXntLA25qb8YdO7px5QXzVK/h5/dGSJjRE+NIY4SzairwuA22x2y8ktseLeTilcfWrcD9uw7iYwtqMmeW1kfL0DQ3Srvjc+z2FVbnm4zEw8AZPekfmbB0XzNYeVar4xf6eOIkfjhTOj0zg6duWpl3BrboS08mJvCljvPwmeULcFZNReZ7HyTG8cfnNbimD34p+e4nnFof42K3zfjpnFalchLiWdE/vaMTU9MztmZQmClhIf5G6VzfztYYXr6jE8PjAqrKuROahAc/2Ytc7CxH40RpGyezwKxeO/d5lWybX941IYT4ETkf2S5zTrcRH+Kk79DyddJjgqTYWTpN+nxjqUnUVEaweedBbHr+QOY79D3ECfwc0wL6Y1G93/NTta4iAG1N9ehqb0ZqahrlpcXoPj6UsZNqNsbv742QsGI2xrHD9piNV+TaY5SFdZW4/7NLsen5Ho6LA4QTvsLJ8sdqeiJNJrH7vkpYfVazek8fT9zAy5j4xNA4Hn7xLezJSfiU+tLykmJMYwYvHziJvZLvdbY0YNX5MbnLOoIfSr4XClzsthGtcwK2rW9zdQCsVk5i5aJ61EXLbG+PmRIW4m9WNNbJnuu753Acm3cdxLduvBhn8dyxUMDsQv/Zi1zsLEfjVGkbM1lgemXPSoZZ7vMqnVlu97umXhEl+vr6EI/Ll0wySiwWQ1NTky3XIkQJJR+5r3cAxSjCD770cQwmJ/Hh8IRhH+JUBrGar+toaUD38aG8vztR3k18vkRSwMYd3Xnl0vwQZ9BfhQu/x7SA/ljUSMzqZrUuNZ1pqIqg5/iQ7JFBajYmCO/Nr9CGESuoxzjAf1t9Hv7h54cV9deq7dGyc/0jKdnf2RGzJJICNr1wIGthAvCH3aFey+OUr3BijijvHVbPnnPr9H21sOOeRvW+kHy8X3TXL+3wAi8q2GZkXOYMbGB2Hrbn+BAqIiXY9urh/LWm3gHct+uga7oQq47gkxfNz6psIu5Ef+fkMI8ksBEudtuI385p9aLciZl7ir95Lz6meK7vnsNxHOkfRXp6xnQGWiE7Hj/B7MJZ/GYvcrGzHI0fStsA8rLX2RrDA9cuRRFmJwvtaEvu87Y11inaNrve9cmhcfzb709h/pxypKamMZicxK+PfoQrL5iHBQWkVySfvr4+XHjhRRgfT9pyvcrKKN5++xAXvImjqPnIPb1xbGhfjFue3Y/O1hiuuGAeaqPG72F3XKjm6x65fhkeful3Wd932gf6Nc5gHBg+/CprUvTGok7GrGZtjpbOmG2z1+8tqGNz2jBiFfUYZwBfu+ZCnFNXiRXn1jpyBImWzRD/34lxe/9Iypf+gnqtjFO+wm5/e2JoHHf9S09WkqfcO/RibsqLezr13vzmu/2iu35pR9hQkzc1Gd/XO4DbrmzBFy5vwvDEpOx53YC8Ljgl47XRCDavWYJNLxzImh/uaGnAo2uXByIGDgpc7LYRP9bf96LciZl7LqyrxAeJcdXrDo1Pms5Ao+PxB4WUXaiFH+1FLnaWo/G63KOS7O05HMd9uw6irakePceHbLMJ0ucdGBNUv2v1XSeSAo59lMRLPSfyzmtsjlUhGikpGL0i+cTjcYyPJ/HxrvtRs2CxpWsNn3wPv9r+IOLxOBe7iaPoPU9yj8n4wam4UM3XfevGi131gVp9ODSu7pucgHFgOAlCTAvoj0WdiFnN2hy9OmOmzV6+t6COzWnDiB1o6V7/cApT6Rn82T/syfzNbv3QshlOjNtPDI2j7yP15Fsv/AX1Wh0nfYVd/jaRFPIWuoHZd3jXcz14IucdejE35fY9nXhvfvPdftFdv7QjbGjJm5aMV5SVYEFdJT7om1D9nlQXnJTxRFLAPTsP5i287+0dwL073dthXghwsdtG/Fp/34tyJ2ZKWNRWqn+/vLTYVAYaHY9/8HoHgZ/wq73Ixc5yNF6UthHRyvrram/GE6/22moTMs/bP6r6Pavveig5KVuWR/z3o9czS5AANQsWY27Tx7xuBiG6MHKepNH4wem4UMnXue0DtfowNTmNRNLduItxYDgJSkwL6NdDO/XVis0xojNG2+zVewvy2Jw2jNiBlu4BwPya8qx/O6EfajbD7phF1PsNqxarfs8Lf0G9VsdpX2GHrPWPpPIWukX2HI6jfySVdw8v5qbcvKfd782PvtsvuuuXdoQJPfKmJeO1lbOf69UFp2WccuIexdpfCTa7d+/GZz/7WSxcuBBFRUXYuXOnY/cSz+GQw6mzP5xAjwI6gVr/tUvOOjSagebV85B8grLzww3CYi+Cgt5dgk7YBKff9ZgwpViWZ1/vAMaEKUvXJ4QQt9EbE4oYiR8KJS6MVUfQqdKHr7874PqzMg4MJ4xp1bFic5zUGa/eW5BtMG0YsQMt/9x9fCgzNpXid/1QQ9T77uNDaG9pkP2OV/6Ceq1OEHz80Lj6O0pofB5G7H5vfvTdftFdv7QjTOiRN70yrvd7Tss45cQ9Qr/YPTY2hosvvhhPPPGE4/cSz+HIVSK3z6W1ilcKKPZfbuDf3tKAm9ubsX3vUQDGM9BoUPxDkHZ+OE1Y7EVQMLJL0G6b4PS7HhPSqp8nNT4nhBC/oWQ3c2NCESPxQ6HEhbXRCB64dmnepLK0D91+VsaB4YQxrTpWbI6TOuPVewuyDaYNI3ZQG43g4euWqfpn6dhUip/1Qw1R77fvPYqb25vznr3TQ39BvVYnCD6+KlKi+nlU4/MwYvd786Pv9ovu+qUdYUKPvOmVcb3fc1rGKSfuEfoy5tdccw2uueYa1+7n9bm0ekkkBcRHBQxPTKKmsgyxqjNt9FIBF9ZV4ls3Xowj/aMYGp9EeWkxuo8P4Y4d3UgKaVMZaEEyKGrvJUgoPYeYUbVbJlvKL1mhbhIUe2EGu2TZruuoyV7uLsGKSIntpV2dfNd1lfrK9xDiJ/r6+hCPy2fOGiWVSqG8vFz7ixrEYjGeRe4jpHYzMT6Jick0Xn93IBMTihiNH4IUFxpBzl8WAWhrqkdXezNSU9N5cbUdz2rET6v54s7WGNIzMzhyajSw8W8hE9aY1o441IrNMTt20ttuL96b0f7w0/iYY1liF/XRMqxZsVDWP7c11eVVsBHxS4xiVC9FvU8KadyxoxtdHc1Zz94yrxoLTJ6HatVGUK+18buPr4qUor2lQbbaXXtLA6oizix9+Mk/yaHnvel9BjvGT3b3l1901y/tCBN65U2vbRK/1z+SQmJ8EtFICarKS7MSYZwo/S+V9+qKUsqJS4R+sdsoqVQKqVQq8+/h4WHD1/DyXFo9nBgazzuHYHVrDI+tW4GFdZWeG+qzaiqQnp7B3c/1ZLXBbAaa18+jF6334hZWAxCt53hs3Qrb3q0UO3TXC/xuL8xglyzbqRNiNl+u7IkZ9Hfs6M78+6Wek+g5PiR7Hyv64dS7nj+nHJ2tMdmSO52tMcyfY30R0EmCqrvEPH19fbjwwoswPp6054JFRcDMjOXLVFZG8fbbh7jgrQO39FZqN08MjeN/vnYkb6HbaPwQlLjQCEr+cssNy9FzfAhPvNqb9xs7nvXE0Dju23UQFy6oQVtjHU4mJtAfLUPT3CjOqY/mfV/JF3e0NOCmVYtx/Xf2ZZJb3Y5/CwUndTdsMa1dcagVm6OkM2q2z2i73X5vRvrjD4NJHBtIYmh8EhVlJfjF2/145+QwHrxumSf2wcz7sAvGy+GiNhrBFRfMk5WlW69qQdczv8n7jV9iFDO2Uar3SSGdFZesbo1h2/o2020xEofIURuN4JHrl+HrLxzAXsliaUdLAx65fpllvQ6L7vrZx9dFy3D71a0AkLXg3d7SgNuvbkVd1P4kEb/M32qh9t6MPIPV8ZMT/txJn2xEb72MDcKKEXnTa5vGhDQeeul3rqyFyenWJy+aj0euX4Z7dh7M+nt7SwNuvaoFSSGNWn1ui2hQNDNjw+xgQCgqKsILL7yA66+/XvE7DzzwAB588MG8vycSCdTU1NjSDi+zvxJJARt3dMsuiohBZm00ghND44qG2q2MS/H7dmQOOvE8Whh5Xr3vxWmsBmx6n8POdyvihu56id+zRkXskmWndOLD4QkMJgWMTkxBmJrG6+8OYPveo0gK6ayFb3GyXXofvw1oRJkYTU2itjKCzbsO5rXNSRtnF2HXXa9588038Ud/9Ef45D1PY27Txyxd66O+d/DKN27GG2+8gUsvvdRymz7edT9qFiy21KaTB/4dB3/8PVzy+bswr/lC09cZPvkefrX9QcvPVih4pbd2xQ9Ox4VyPhuAI35czl9GIyXo6mhGx/kNmDenAg+8+Jbt/iGRFPDf//k/8bnLm/D0vqNZk4sdLQ147IYVOHeu/Ihd7B/pjn3RF0vb6Fb8W0j4xef6Pa61Ow5VsznRSIlmX+i1fX4ZU2qhxwb3fZTEpud78hYubm5vxo9+3Ydv3XixZ8/ixFhWC7/oLrEXOVlKCmncZSJGUbKrdtrbXBsjxhttjXUAgKa5UcyfU66YiGNn7GUlDpG7jrhgLt1p/87JYcu2hrprH2qyfHJoHP/2+1OYP6c88w77R1K46oJ5OFunfOnVlaD4WjXMPMP7HyWx6YUDhscU73+UxF0O+nO/zC97ERuEmeMDY+gbHEfidILEm32DOHQigfs/uxRNDVWGruXUWpjSmF/pXt/8LyswlZ7B/JryLF+zfe9RrFxUHwjbEQS42J2DXPZOY2OjbYGI14slR/pH8Ym/e03x81/ceQXOn18NwP7FZq8XiZxyPHLGLSmk8TUDz2vkvTiFHQGbl8/htO56iR/0Ry92yYATsiTtR3Fgvuq8BhQXFyEppPFm32Bmsl38fM3yBRifTKO6vBT7jw3i4Zd+l3cGthcDmlyZiEZKsHnNElzaVIfx06VpgxJch1l3/YCfF7vtaNN7v/pX/Gr7g+j4m+/gnIvM7QoB7Hu2QiEMeutUXChnn7dvuAzfebUXe3rP+PHO1hgevm4Z6qNllu6b6y+jkRJsXd+WmfiV+rvysmLUVUZsedYj/aN44bd/QHffoGzZyM7WGJ7Q8I1+iH8LDT/obhDiWidkU2lRy8iY0Yt2S7F70UzJBv9hMIm7n+vBHoWStG1N9Vh7yTkFZR/8oLvEPYzGKEq7yDavWZK3i6yzNYYta5frWgjORWpjcuMNETUbZmfsZUcckvtMcli1m9Rde9ATO1iRLyOxiVMy42YioNFnyK2ikJqaRl1lGRY1qFdRSCQFbPzhm4Hz54Wut14npb7/URJ3P9+TVW2jsyWG//5nH8P/2n0E31i73FB79Mq7UtLMlRfMy1vsVrIZD123DJ/euidv3hgAnrppJW55dr9mO4g1WMY8h/LyclvOfZQjkRTyFAEAdh+O4+7nelxZLBmemFT9fETyuV1lapx+bunuxrpoBMLUNEZTU3kG2YmyO0rG7darWvDGscGs76o9r5H34hTxUUF2oRuYbXt8VPsMYy+fw0nddRq1QMIPdsMIdsmAeB1ptvjU9AwW1lYiNZXGwJgAGDjXM7cfxfJpT7zamwmyxXJq0oG7tMRae0sDtq5vyzsvVq9+2IWcTCSFNDY9fyAwmcRSgqy7hBQqYdBbJ+JCOfvc1dGMba8ezpuI3XM4jnt2HsCaFQtxxQXzTC/y5frdro5mPL3vKN75YARP3bQS82vKMTqRxpyK0tn4uKIU8VEB78bHLE1eDE9Moq2xTrZEuvh8Wr7RD/FvoeG17gYhrk0kBaSm0njyC5dmdpLkVh4wI5u5NieRFPIWuoH8vjAy4eikTqktBFTp2J2ei5INTiQFHBtIyk6MA7MlarvamwvOPnitu8RdjMQoSnb1Ywtq8kpzA7P++e7ne/D4uhW6S32LjKYm8ZVPtuKqj81HcVERxlJTuPOTH8Nli0/he7vfRVJIZ9kwIL+qjV0T+XbEIeJ11LBqa6i71tEbO5iN7Y3GJumZGTx100qkpqZl4wQ1mVHy6W4nAhp5Bmn//PxQf9Z1tOaf4qNCIP15Ieut10mpiaSATTkL3QCwpzeOacygrane8PyrnJ2XzjUPjAmY/nBEdoNTNFICrFmClYvqM2tN1eWluC+nsiYwazM27zqIro5mWd+UmppWbacVXfA6QcFPcLHbRexYTLRKTYX6WSVzND43g5PPLRrhN44NYuv6Nvztv76jO6vUKmoBUXpmRta47T4cx8nERN4EoxfvJRetIH9oXNC8hh+eI2hoBRJ+sBtGMCsDuY65urw0a9F5+96j2Lq+DY/97JApHVfrRzHIFhEXCnIXJsR/y+m2mwF60GSCEEIKgURSwMnERJ59VpuIFf2PlUW+XL/b1liH//PrPvzgS/8PHnrprbyyno9cvwx/8b1/R3x0Nq4zGyvXVJThZGJC9TuJ8Ukc6R9VHHQzbiw8/B7DyMXlcsmOdsimVl8MjAkYO13OWO+Eo1GdMlKyVWnce9dzPfj0srOx6YWDutqoRXxUwNC4elydmpqmfSAFh5K+KtkStfhjb+8Ajg0kUV1easjm1lVGcPniuXj8Z29nxRedLTE88fk2bPxhd2bB+4PhCTzyk0OOLZhUl5dqxiF6xuiMRfyP07GDkeufGBrHwy++lbWAmxsnzKkok9VXJZ++5YbluPv5A64lAup9BhEr/a81z0x/7i/8kJRqV4KEVAcrIyVZn+nd4CT93qbnD2S+19kaw02rFuP1IwN5O7j3HI5jw6rFsm0qLy1WbbPZON3rBAW/EfrF7tHRUfT2nhHco0eP4re//S3mzp2LpqYmV9vih90LseoIttywPFOSQZrBtXJRPWLV9hstp55baoQ3Xt0iuzjlpEE2sngm5d34GG79wZsAzhifWHUEq1tjWedCiHS0NKCiTN0g2oFWkJ+anEYiqR5Eqj3H6taYI/IVZPQEEn6wG0YwIwNyjnnLDcuxec2SjF5b1XE9QbaInoWJXNwM0IMmE4QQEnZEP7b+8vyxhVYGd2pq2tJEXa7fTU1N4/F1K/IWuoHZye17dx7E4+tWZEqomY2VY9URpKaiqrtCJibTuOG7r2d+kzvoZtxYeBiJYdzeoaAUl+cmO9olm1p9kZ6eMTzhaESnjEyMqY175Sb1rIzBhycmNScD6yrLaB9IQaGmr0q2RCv+GBqfNBR7JJICXj8ygJcOnMivVtMbB5C94eP9wXFTCyZ6bP+JoXHsPzaIJo1S7HrG6IxF/I/T8x9a1x9LTSKRFDCUnMS9Ow/kLcRJ44Se40OoKCvOOyJyyw3L8XLPyawjjYBZnTg2kHQtETCRFHDXv+QfE5L7DFK5t9L/WvPM9Of+wg9JqXYkSOT6zI1Xt6CjpSGzW1zc4NTdN4SNV7dkSvNXlJXgg8Q4/vKK8/D3rxxW3Ai153Ac0wqbHNXoH0nZHqf7IUHBbzi/guYx+/fvR1tbG9raZkvo3HnnnWhra8N9993nelv8kDE4JqTxcs9J3PLsftz6gzfR9cxv0N03iO0bLsPfrluRV1rtSP8ouvsGceTUKBJJ7Z29cjj13FIj3NZYJ3tOD3DGINuNkcUzKdLBu2h8AODRtcvR0dKQ9d32lgZsaG/GAz9+y3T/6yVWHUFna0z2s/aWBrz+7oBmP9ZGI3hs3QqszrnO6tYYHs+RL6IvkIjmZKDl4rcsyFwZiEZKsPHqFvzwSx/H//uJVsTHhCxZVnLMD7/0O6w4pzaj11Z1XMsO1Vae+VzPwoQUtwfBfvAlhBBCZpH6MbkFGq1FG/FzsxN1uX63vLQY82vKFX3m3t4BnF1bkRVfmImVx4Q0trz8dt6YYuv6NkQjJeg4HTtKEeNeMQ5g3Fh46I1hTgyNY+OObnzi717D2idfxye+/Rpu39GNE0PjjrVNK5H50qZ6W2VTqy/S0zOa44Rc9OqU1sRY7rjTzLjX7Bi8pqIM3ceH0J4zLhbpaGnAooYo7QMpGLT0tbpcfg+TnvjDSOwRHxVU44s9vQNoa6zTvI6abdBj+8X+ePil32FORWneHJqI3jE6YxH/4/T8h9r1o5ES1FRGsHFHN3pPjaruOF11XgMeXbsc9//4rTx9nT+nPG+hW0Srmomdmxn6R1KK7RCfIVfurfS/mEwiB/25//DDxhqrCRJyPnP73qPY0N6c8RdtjXXo7hvC1vVt6O4bzBrP/uTASVyzdAGikRLVeeh9Kj7v3PpKWZ9y1QXzZP3NJy+ajy03LEd8VEB33yAOfziC135/SvF4XGmcrmddodAI/c7uK6+8EjMzM143A4D3GYOJpIDXfn8KG9oXY/3Hm7J2YDz5y97MmTqAvSUQnHpuqRF28twDJbQMsNzgor2lAd3Hh7L+JhqfoiLgkqZ63NzejNTUNMpLi9F9fChTPsPpDKraaAQPXLsU9+06mGXM21sacHN7M+7Y0Y0/uXC+5nUW1lVi2/o2xEcFjExMYk7FrCMqhADG6A4UrUAiMT6Jdz4cQXtLg6yD9WumsSgDA2MCZgA8sOtgVrabnjLtSSGNvsFk5t9WdVzNDnW2xjAxmc7sTmucq27jpLrtxSDYa19CCCFmCeNZUlI/Ji7QSH223N9EpHGhlYk6aew1PTODAY1B7cjEVF5ZZiOxcmYSIWeyTHzGzWuWYN6cctyxozvvt7m7Ago5biw0EkkBpcVF6GyNycZ+Ygzj1Q4Frbi8pqLU1ntrxXNJYUr190o6q0enjO7cMTPuVWujGrHqCN45OYybT1dSyi2V/I0blhs+Z5gQK3gdu2jpa6SkWNaWdB8fQmdLTHZhS4w/1l5yju52DE9M6k4K72yN5c17SZGzDXptv7Q/up75Df7XTZehCO9kPafRMXohxyJey7cenJ7/ULv+5jVLsHnnQezpjctWcJJSUVYCIT2dd641oD6fZbS0sRW0FtYjpcVYkDPnb6X/xWSSu5/ryfp9Z2sMW9bSn/sNP2ys0ap8q5UgIeczk0Iad+zoRldHM+79zBIMT0ypHl/58Etvoauj2fBGKGBWJ86uqcj4lLHUJGorIxDS0zg5PIGayjJ888aLMZaawvD4rN2NlBTnHWUgd4wSkB+n+yFBwW+EfrHbDfQGB0pG3q3FksHkJF7qOZG3kCkqj6gsdk8wOPXcUiNsZ3Cg931qLZ71j6Sy/iZdNM5lZGISM4Bq+QszBspo4FoEoK2pHl0KC+56+7E26r8A2WnMJIhoBRLRSAkeful32Ho6ESVXdx+6bpnt/WzXYEf8zcYd3XnZr3rLtEdKzui1VR1Xs0P3X7sUn922NxNAbLy6RTXBoGVeNXbeusqzQbAVmxqEwSwhJJwE8SwpLZuZSApITaXx5BcuRUVZCXreH8KXOs4DcMZnb997FNs3XIbioqK8AawYF9oxUSeNvaamh1W/W1Vegm2vHs4qvWYkVtbaAbv5M0tww3dfzzvDTCQ3prUrbqSP8xa1/hf1/41js7v/p2dmsuIsaQxzpH/UkxKKWnG5oDHhZRSteE5Jf0T06OwMMDvAy8HoxJjauFcumdtIG3OpjUbw4HXLcP+ug1nj0rrKMpxbX4lEMoUj6WnqN3EFO2IXo74p9/vpmRlEIyWKNiExLsjakndODuORtctwzwsHMqVbgTPxx49+3YdYh/zRe3JUl5fq2i2+ujWGh65bhk9v3aP4PTnboDcJR2q/4qMCPv/9/0BXRzM2tC9GamoaixuiOKeuMq+Ptd4D57BmMRubOxmDOT2Xrnb9S5vqMmf1asl/bWUZEgqLyWq/7T4+pJkIaBcN0YjqEURylSWt9n8hJ5MEDT9srLGaICH6iGikBF0dzVklyt/sG4QwlUZDVUT1+Mo9vQPYoHA0rZRFc6PYeHVLRodydaI2GlG1s+fNq0YiKWDjD7sVk8jlSqVL43Q/JCj4DS52W8RocOCVkU8kBWzeeUA2YwWYVR5RWZw4o8GJ55YaYbVdM0YMspH3qeXwo5ESXL54LkYmJlFRVoKXDpzMy8gR0WN8jBooM4FrQ1UEPceHZA0+d4wqYzZBRGviSEhPZ2Wg5SYhDI8LAKpsew67FyL02BI1xywN+u3QcSU7NDAmZOnl9r1HZRMMRN1eUFeJRTb2uxnM2NQgLjQRQsJBEM+S0rKZcp+3tzRgxbm1uLx5bsZnnxerwoLaCjyxvg0fDE/g/cHZUpxiMuHKRfW2J73OrYpknUsmpaOlAf3DKezrHUDX6UG80RhPa6FsNDWlulDnxKCbPs5b1Pq/KlKS9Zk0rgWAprlRzJ9T7vkOBfFIJ7nYVTzS6ayaClt1VS2eSyQFUxOOenTB6MSY4sRjSwNuvaoVtzz7G0Nt1GJhXSW+dePFmX6pjJTgzb4hfOl/78/YFuo3cRo7Yhejvknu+52tMdndXSJV5WWqtuTxdStwbCCJofHJzDzCj37dZzhxPlJSjA+HJxTH5J2nk8LFipErF9Ubsl96bX+u/UoK6az5q1/ceYXsGd+MEbKxMzZ3o3+dnktXuv678bHMd9TmpDo1fN6BPyQUKy28fXIYW9Yux9dfOODoxrgTQ+O4/8cHszajSDfAtTXVoSoiv0xktf8LMZkkiHi9SVPEirzVVJQhGinB1vVteHrf0Sz/0N7SgP9y6bmoj5bhvYExlavMxsJnzSlXnbP/6Vsf4D+PD+HF2ztQhNk1ldzEeC07+8HwhOrRAl0yi+7SON0PCQp+g4vdFjAbHHhh5OOjgurZIl3tzRllcWqCwe7nlhphrcUpPfc18z61DLD0XLSe40OygxOp8bHLQFmRTT84tqBhNkFEqb/FbOuPTpchzR3AiRgpO6aFEwsRemxJc6xKUe7fkQT9dug4oGyHpG2QJhjcdmULKspKUFvpv+xTIzY1iAtNhJDw4EQipZNo2cxv3nix7Oeif2prqsctz+7H6tZYln2tjUZwdk0F4qMCGqoiWHvJOY74lrNqKvDoaf8pXfDuaGnAfZ9dis9//z8AzJZeMxPjaS2U1VaWuTropo/zFq3+37xmSdZnWgsTXu1QsOtIJzP3tWtcplcXzEyMiePe/pEU+j6aPWrowB8SmJhMo62pzlJ8LofYL4mkMFspivpNXMZq7GLUNyl9f8/hOGZmZmR3d0n1VcmWnFMfRXV5aWbOau0l5yDW0WxYb4bGBSyorcTGq1oA5B8x8OC1S7EodiYh3Kj90mv7jdovxgjy2BWbu9m/Ts+ly12/puLM0UBKc1LtLQ148Nqlmd/KyWdREXDrVedjGjN5v/1S53mYc/qoFKcW888cQSS/Ae7ez1yE8+ZVoy6qrIdcsC4M/LIT36y8xaoj2LxmiWKJ8vt2HcS29W04t149EaehKoJFsSrVOXsxCe3BH78la+u07Gz/SCqTCK9Ebqn0XD/HdZx8uNhtgfiogDeODWLj1S15ZRG27z3qq4k7rUUnABllCVIJBKkRHktN4tHrl0NIT2MsNWXYIFtZsNS6h17jY2ZCQ65UkJXAVWuHQaGUhzTyrFYSRBbWVeLh65ah99RoXun4ro5m187rdmIhQo8tUdONh65bhgU26rgSSm04p64SDdWR2SQVmRKQduCWTgVtoYkQEi6CdpaUls0cHFMv493V3qwYv0njRtEHvBsfs90HNDVUYcva5RiamMToRBrVFSXoH07h89//D8RPJ9OdF6uSnWzX8ktaE83z55S7OujWel8nhycAgH7OAmpyodX/WudDGimZ7fQOBbuOdLILoxOOeuM9sxNj4m+rykszvxXLRN52ZQvKy4pRVxlRbaPR2NfOBZlCGccSe7AauxiVXbXv7+0dwK1XtmQtdq9ujeFv160AABzpH1WVbTsWqarLy7D++7/CX15xHu761IUAZpOXSouLsFdmV1pVpASb1yzB0PgkqiMliEZKURctU2yHXttvxH4lkgJOJiY4DpbBrtjcqJwHzRZL5TK36iIwm+D5b78/lfm+knxetmgubnl2v2zFxq5nfoMXN3bg/PnVjvWF1hFE/9+fXYizJVV2AO/fldf3L2SCnNhQG41kHT+Qi2iXzq6p0OVzxFj8ZGIC78bH8sYG0mvm9pmWnVU69kCK9AgEpTjdrgSFsOgcF7stMJqaVCyLsHV9G8ZS/pm401p0Orf+zJk2QSuBYJcR1jJCY6lJS4qvx/jo+Y7YhsGkgMn0NPYdGcg6H+KxdSswqiF7WoGrXJ8WUukno89qNUHko6SAW57dn/d3MXM095xPrYkoM3LqxEKEXluip0KC0w42N3GmpjKCzTsPZgVIVuRd7p0khTS+5pJOBW2hiRASLoKUSAlo28zhiSnVz2sryzR3srgRV9VUluGenQez/HA0UoKNV7dg1XkNSApTiI/NLnzXRtXPFJO2Sc9Ec20UWX61tjICIT2ND4YnkJxM2zp41npf754aw6M/ORTKmNUNtORCq/+rZM5/lKK3ZLYbOxScOtLJyhjSSBxsJN6zMjFm9rdm7N7wxKTiuYvb9x7VFcMW0jiW2IfV2MXo+Evr+xVlJfjFnVdk6dyYkM6rfOCUbIu75ebPKcf7g+NZerhyUT1uXrU48101natVOG5VyfZ/8qL5eODapXnJgVo2SGzD+subVJ+rUMfBdsXmRuQ8iLY4Vy7F6jTizs7/3/ZfY+Wieny540ypYTkfmRgXFCs2Amf6yanFJq33ND09g7Ml70B8V28cG8z43/fiY2isj+KsmnLH5+eCKCvEG+R0ZmJS+TgtYFbfzp9frXu8URuNoLd/FLf+4E3Va+YiZ2elMe3MDFAXjeDRtcvwyE8O5VUDFo8H2XnrKs1Y2+q8eZh0jovdFqirjOBv//UdxXOwH71+uRfNkkVr0akuGslkg9ZWlmVKHxZSCQS1YC8aKUFNZcTyQELvLnCl7yidDymesSKWCnr4umWq9zA6qZxICnjt96ewYdVirL+8KWtgE7bST2bKMFlNEFGSPTFz9Kd3dGJqekbXZJJZB+XEQoSRycpcuU8kBc0MdbsR25Apl9grLwMPX7cMHyUF3e1Seie3XtWCN44Nyt7Dbp0K2kITISRc+CmRUs8kkpbNrKlQH0LVa8R7bpV8zPXDSueXrW6N4dG1y/HAi2/pbpOexS7Rrzo9eNaaSKiKlGJDezNe+/0pfHrZ2aGJWd1Aj6xq6UtVpNR0yWy3Syg6sdBuVP6tTHSbOYvbbJ8arVJh+pityjLVDQY1lerPzBLGxCxqsUtnawzVGrGAUX3Uc0TI+fOrM/92W7bHhDRe7jmZNUZub2nA9g2XYfHcaJY9MNuuXNtfU1mGSEkx7n7+gKwNlfaHFOn8VVWkFNs3XJaZv8pdTCjUcbBdsbleOdcjFwB8uatQlMsPhicyJYfFnZ0rF9VrVnICZqsvqFFTWeZovKzHvoiI7+qNY4Oy/rezNYYta5fj3LkKmSsWod8OD07vFFbSmYeuW4ZopET2KFngjF3SO95IJAWUlBTLXSpDVXl+TJBrZ5XG4p0tMTx100rc8uz+TJvbWxrw8HXLsChWhUWoyrt2bvus9HPYdI6L3RYQ0tOy5YWB2QVvIT0t+5kXqA3cH7l+Ge554QB+fqg/8/dPXjQfW25YjonJaU/PaADcK6OgFuxtXrMEm3ceVFz8ckPxlYyPKIPiGU67D8chpKdtnVQeTE7ipZ4TeWfLiIvsYSr9ZKZUntWJMTXZW7moXrXclxQrDsqphQgzk5VWg3yrNkNLBnpPjWZ24mu1S+2dpBXOXnOinJqfFpoIIYWHlzs1pej1L1o2s77Kmk2182gJLZ8n9cPTMzN46MW38sYvuw/HsemFA7i4sS5rPKDVJj0LZW4MnvVOJLS3NOCPz2sITczqBnpkVTupusxSyWy3sXOh3aj859qo6OkywJc21SEppDXjWi/iPb121azdqyovVTx3sQjAt//8EtX28SgfYhal2KW9pQE3rVqMe184gAevW6Y4DjSqj0a/7+YRHmfO+82fiyopKsosVOppl5bO5SbS5G44Ea+jFkNozV+JiwmFPA62KzbXK7dacvHB8AQe+ckhX+0qzI2xz66pwNk1FYiPCmioimDtJefojg+0+qmqvBRf/ef/dCxeNmJfxHe18eoWWf+753Acdz/fg8fXrcA59fYveNNvhwMz87pG5nLVYuz7dh3E5jVLZEuZy515rSVP8VEBxUVQPGa0vaUBEZnF8Fw729XRLK9TvXEAM/g//+3/wfuD4ygvLUb/SAr1Ue1kLDuSZMKmc1zstsBoSr2E4ZjG524jN3CvrijNW+gGgFcO9SM1NY1t69sUsyXdwM0yCmrBnp7zHpxWfK0zVsQzY4BZ2bNrUjmRFLB55wHFCgZdHc2hKv1kttyzlYkxuwYaVhyUkwsRRiYrrU6K22EztGQgNXUmkUmrXUb0VordOuWXhSZCSOHi1U5NESP+RctmnlVTYcmm2nW0hJGy47WnqzjtUUjU3XM4jg2SEqRm25SLG4NnvRMJ+3oHsHnXQTwRsOx0L9Ejq3rKAErL2nudSK0Huxbajch/ro2SJm3oPVbH7XjPiF01a/dGJ6YUNxjs7R3A6MQUzqpRvi6P8iFWWFhXiW/eeDGO9I9iaHwy76zO1JRKVQKD+mj0+24e4WHEltmpc2ZiCD3zV0+82stxMOyJzfXKrZZcvD847qtdhWoxtpk5cq1+Gp2YcjReNmJfxHfV1linWHZ9b+8Ajg0kUV1eavu7od8OPmbmdY3O5Wr5h3s+c1FegodZuz88MYn+kRRuPj1/m5tIdXN7MxLjAiCzA1tqZ1NTykcZ7OkdwIaRFG79wZu622lXUnnYdI6L3RYIYllYuVIqcjs4AO+zN7woo6AU7L0bH1P9nRuKb2QBbk5FmW2TyvFRQXFiVFys86Osm8WKXluZGLPjfVl1UF4vRADWJsXtshlaMlBemp2xp9YuI3orxQmd8sP7JYQUNl7t1ASM+xctm2nFptoxhjDj88z6JL1tksOtwbP4Pk4mJiCkp5UnEgKYne4lemXVSFn7QsKI/OfaKKWkDa241s14z4hdNWv3rNqQIM7ZEH8xOjGFz/+vX8l+pjU+NaqPRr6vZ8xq19yZET20U+fM6L/W/NVdn7oQa5YvwILaioLzSXLY4Zv1yK2WXCjhxby0U3PRav3U3Teo+ls74mW99kV8V2rjAgAYGp905N3Qbwcfo+NuJ8a140Latni4pqIMH40JuH1HN7o6mtHV3ozU1HRWAtyLGzsUfy/aWS09n1NRhl/ceYXudtqVVB42neNitwXCUBbW6QkoK+WEvSqjIBfs1VQIqr9xQ/H1LsBJZc+OwFVLRgAEQtb14qVeW31fdjgorycirdgku2yGmgy0tzSg+/iQ7nYZXTgH5OXMruMcvH6/hBDiFWb8i5bNzP08kRRwpH9U01bbEWuY8XlaPqlO4exbK/GPm4Nn8Xn3H3N+wrBQMCKrjDHyMSL/uTZKbUeVnopNenaDWI0tjdhVs3bPqg0Jw5wN8Rarc2ZGYwW9tlTvmNWOuTMjeminzpnRf633dWokhZWL6umvbEZLbtXkorM1JjvHIuJU3KbkB52ci1bqJ7fiZT32RXxXcnNVUspLix15N/Tbwceo37RrXBuNlKCroxltjXWYnJ5BfGz2uCWrFYtj1RH8+r2P0NYkH5vrlUstPW+oMtZWu9b0wqZz6paLqCKWAVndGsv6e5DK4TjpUE8MjWPjjm584u9ew9onX8cnvv0abt/RjRND47p+76cyCqLiy+GW4qu1QRzMOCF7WjJybn1lIGRdL0HWaz/IqVWs2CS7bIaSDIjlabbvPaq7XWrvpLM1hv6RVNbf5OTMqi0lhBDi/CSSEVttR6xhxudpxQmLGqK2xz9uxya10QjOrVcv1xq07HQvCXJc7AeMyH+ujdLaUWVlLGxXbGnErpqVJas2hDJMrGJn/GDnuM7ImNXq3JkRPbRT58zof6HNXwUFNbl4+LplsnMsIk7EbWq6OJpyfy7aT3N54rvqH0mhs0V9DtqJd0O/HXyM+k07xrXi8T/dfYO45dn9uPF//rttc6e10QiuvGAebr+6Fe0tDVmfdRqQS7v13K74JGw6x53dFgl6WVinsjfsKPvipzIKRs43cbsNna0xPHjtUgDAlzuabW+LloycXVNh6/38QFD12g9yahUrNslOm5ErA1Xlpdh/bDBzPpvedmm9k2ikBJcvnqsoZ14c50AIITPWsicAAQAASURBVGHEyYxlM7baaqxhxudp+aQFDsQ/XsQmZ9dUhCo73WuCGhf7ASPyn2ujtHZUmR0L2xlbGrWrZmTJDhtCGSZWsCt+cGJcJz3C4934WN6Z4iJW586M6qFdOmdG/wtx/iooKMkFAKxcVO9a3Kaliw9ft0z1904u8PplLm9hXSU+vexsrDqvAffsPIC9MmcU/+jXfYh1NDt2f/rt4GLUb9oxrjV7/I9eFtRVIhopwaPXL8eYMIWkkEZtZRnmzynXfV279dzO+Y0w6RwXu20gyCXbnHKodpR98VsZBT8ovldteOi6Zdi862DWOw3SAqoZgqrXfpBTK1ixSXbbjFwZqCovxU9zBmFK7ZKWxKqtLMM3b7wYoxNTsu9E7Zm8Os6BEELChpOTSGZttZVYw6zP04oTnIh/3I5N/DZhaBa7jjCxg6DGxX5Ar/znym338SG0tzTkTdoB1sbCdsaWZnTNjCyp9aFePaEME7PY5VOcGteJv3n05UOOzp0Z9eV26ZyZ++p5X37ysYWEkly4Gbdp6aKQnvZkLtpvc3niu3p83QocG0hiaHwyk1Dzo1/34aHrljnWNupnsDHqN7WOOUjPzODIqdE8OZDqTGoqbfr4HyPPZfUaduq53WPesMTKXOwmjjhUrRIUA2MCIGOopPhxosoPiu9mG04MjeOu53rwxrFBdHU0Y8OqxQBmSz+dXVPheV8QebyWU6uBqVmbZMVm6Gmz3naJepObHPLYuhWGz4rx03EOhBASdMz6Fy0f4YSt1rqnFZ/nRZzg9j39NmFoFLVYYmGdepl24gxW4lu98l8VKcHmNUswND6JOeUluPHSc7F510Fbx8J22yu3dE2uD6knxC3sSLiwqntq93Fr7syreQaj99WyS7Qd/kN8Z0PJSYwJUxgT0qirLEM0UqL5W6P+WUsXx1JTns1Fez2XJ8c59VFUl5dm9GntJecg5kBVURHqZzgwEh8q+bCOlgbctGoxrv/OPiSFNDpPH3tQHy3LS9Tu7htUbY+f5k7N6rmcrQv6mNcJuNhdoMgpiNFFGDW0SlBURorx2W17sXJRvarDotJ6R25pH2mG1OrWGLatb/OqacTH6A1M9Uzim9FzMzbDSDCt1S67y9P56TgHQggJA0b9ix4foWWrKyIlSCT1Z5Pr9UuMk9Xx44ShHniEiTeoxaZuTLzK3eOTF83HlhuWY2Jy2jYddyK29ELXqCfEbawmXFjRPT33YUyQjZJdou3wDq05oDEhjXtlKkqq+Voz/lmPLlKfsnHLz1M/w4URuZHqXGJ8EhOTabz+7kDWsRx7Dsdxz84DWLNiIa64YF6Wjjs1d+qXKgNato56cQYudhcAuYpZUVqMR18+hOZ51WhrrMPJxAT6o2VomhvFOfVRW+6pVoKivaUBB95PoKujGU+82qvpsLycqPKLUfMCO8tsFXI/2oHT/WfX9fUGpk5PGBqxGYmkgNd+fwobVi3G+subUFFWgjf7BrF971FTwbSW3vSPpAxdz2/HORBCSCGh169pxb0v9ZxEz/EhXX7O6CSPnXGyk/GGkWsXetwYHxXwxrFBbLy6BW2NdUhNTWfFJ4V4hEkiKWBgTMDU9AymZ2aQTE3N6p5NsqEWm1ZFShyfeFXS+1cO9SM1NY1t69tsS0x3OrZ0Sn9zr1taVIQ3jsnv4uFRP8QNjPrrirJidLQ0ZJ19K6Kme0buY1dM4Id4wM42SK9VGSnBxY11eOPYYNa55gBth5NozQGZWeQ08hupDMyt0ucH9ehTmGJWr56F+klERJ070j+KG777uux39vUOoKu9OU/H9cS3ucdNVpWXYnRiKiPz1eWlGEtNITF+Zv3s/h+/hZ8f6s+6ltHNXFZhEogxXF3s7uvrw1lnnYXy8vKsv09PT+P9999HU1OTm80pCOQCio6WBmxesxSP/+xQ1m7djpYGPHbDCpw7V/+Ct5JC10YjeOi6Zbhn54Gsc8baWxpwc3sz7tjRndkZ7FeHVeilU+wqcVfo/WgVp/svt1R9W2Md3ouPobE+irNqym1d6I2PCgDgKyc9mJzESz0n8uzU1vVtuGNHt2HbpKU3fR8lUVVeqvvduVWSjhAjHDp0yNPfE+IWehP/lGy1NO5NCmldfs6pMz21cDLeMHJtPZOhYZlUVGI0NYmt69vw9L6jWWM1MT4ZS/mnDJ8bnBgax327DuJzlzfh6X1Hs2I2vTKqJjdaE0ib1yxxXCfd1HsnY0un7IjcdTtbY5l4PXdCHPBXuUoSTozobSIp4P4fv4UN7c2YAbLsWEdLAx5du1xR99yOC/wQD/xhMJk5I7iirAS/eLsf75wcxoPXLTPcBrl7Ssf7ufaDtsN+9CzUmJFzvb/JlYFopATbN1yGGSBPFo34QTvn0rzGq3lb6ieRQ2teNTU1nWcXtOLbpJDG107LWjRSkhlr5frjDZKxu/jv148MZGTR7c1cgLqt239sEEPJydCPj43g6mL34sWLcdFFF+HHP/4xzj///MzfT506hebmZqTT+YOUIOC3SRexPemZGTz84lvYk5M5urd3AA+/9BYuaarHq2+fyvr7phcO4Amdi02ak1HjAtqa6tHV3ozU1DTKS4vRfXwoYzRSU9OZ3/nNYXmVNeMnWbKjBAizj86g9G6tTL5Z7T/x+m8cG5SdVDXqoPUmSHgxiS9HIilgc05CDnBm8qGro9mwbdLSGwCG353dJbT8ZGdIsBhPDAAowhe/+EVbrjeZEmy5DiFOYSTxT7TVJxMTeDc+lhf3Asp+TmqXy0uL8Td/0oqiImDZwtq8Xb1OxMxW4w27Yhm1796/6yDu/+xSbHrhQOgTKOsqI/jbf31HMT559PrlXjQrg9U4wugu/7ue68HFjXV5E1KAPhnVGrNqTZYPjdt7xrUcdp+jrYUT5VmdGrcoXXfP4TimZ2Yy1eJyyR2rMv4ldmNEb+OjAn5+qB+vHxlAV0czutqbMTU9gwW1FRCmpnFyeAKp9HTerrJYVQSjGglOdtoHs3qsR7/0Xvv9j5K46/ke2U0z9+86iG/deLGhKm5y95SO93PtB48J04cRm6pnUdqMH9TzGzkZSAppdD3zG2xeswT3fOYiDI9PoaayFPXRCM6qqVC9pojdc2l67+lU5RSv5r+pn/oppDhGa161vLQYQL5dkMa3Y6lJ1FZGkJqaxh+GxjGZns5UDejqaJYdV+ztHcAMzshe7r9F3N7MpWTrxEX7e3ceyFr7C+P42AiulzG/6KKLcPnll+Of/umf8IlPfCLz95mZGbebYgt+27Uqbc9TN63MW+gW2ds7gJvbm/P+vkfnYpMeZ1hdXiY78BQRjRPgP4flxa4apYz1h69bhvpometOzI4Sd17tTvIbSnbikeuX4aGXfqdYEsXp/hOvv/HqFtMTiFL0JEi4PZmnRnxUULSRYmmcqvJSHOkf1R1QapWy7T4+ZOrd2VWSzm8+iwSLyeQIgBlc8vm7MK/5QtPXOXng33Hwx9/D1NSUfY0jxAGMJv7VRiN4Nz6GW3/wpuJvcv2cbPzXEsOtV52PW57dn1koF3c51FTaf96YlXjD6kKi9Npq3/3Yghpser4nz2+HMYFSSE/nxWQi+3oHIKSnZT9zA6txhNHfizKxYdVixXGlmozqGbNqxaZVkRLVz+0Yxzp1zqAadh8VpucoHzOTtGrXFeP1XHLHqox/iRMY0VvRziSFNJ54tTczQf34z95W3VW2ujWGh65bhmikRLaCQe59cjG6OGImHtCrX3qrwG3KWegGzix+tTXVGxpHG7UfPCZMH0Ztqp45IDN+UM9vlGQgKaSx6fkDeOqmlbjl2f0AjPkFu+fStHByvtireVvqp34KLY7RM68KyNsFMb49MTSOu/6lB3t686sGFBcVKY4rcmVPKdZ0czOXkq1TWrS3I9E0yIkVxdpfsY+ioiI8+eSTuPfee/GZz3wGW7duzfosaGgNnhNJd3cs5bZHunNaDqXP9Sw26XGGonGSQ2qc/Oiw3F6QU8tY37zzIA59MIKTQ+O23jP3/kf6R9HdN4gjp0aRSAqZEiC571CrtI/0Wh9p6IDfdvQ7gZqd+PoLB3Dhgpq8v4v2w2k5FK/f1linOKkqHXhqoabzop7bNZknJ7NG0epfYLYkzCf+7jWsffJ1fOLbr+H2Hd04oaKLot505vSDmI2+fe9RAM7YEK3+MOuz7OhrEi6q5zdhbtPHTP9XFVvg9SMQogs9fi0XI35OMf7rjeOJX/aiqyN7oP3svvdQXATDdvjE0Dg27uhW9Gdm4w09fsXItdW+29ZYp5igpidWCZIvG02pJwKNaXzuFFbHvmZ+L8qE1rhWSUb1jFm1dLYqUmrYDhjFjK1xC726o+coHyMxtd7r5pI7VjUqd3LPGyT7QdzDiN7m2hm1XWVP7zua8f+7D8dx366D2Lxmia77SNHy/XLo9dmiTvz+wxHc9S//qUu/9FxbKxm9rbHO0DhaTylcER4Tpg8zvlxPbGzGD+r5jREZUHuGXD+QnplBNFJi21yaGmrzxffsPICXD36gy58q4db8d54vHVfvG+rnLH5be7KC3nhKaT1COq+q5v8SSSFvoRuY9SNP7zuK0mL1NcjccYfcOKQiUqIpw2q6YyS2VLJ1TtgfM7GD33B1Z7e4e/srX/kKLrzwQqxfvx49PT2477773GyGbfht12pue6Q7p+VQ+lzPYpMeZ3j+/GrN8wv96rDczq5Xk6U9vXH81ZXn49hHSUQjJa7sKJdmiBkpcZd7raduWql6b7/t6HcCtXerVGFB7+Sb1f4Tr292AjEXvWcAWq0YYFdWo1b/nl1Tgdt3dGf9TU+G3MK6Sjxy3TL0nhqVPcIBsFf27cymN5upTwghYcTM2bZGKuMY3dGwpzeOI6fG8Ozrb+m2w3p2tpqNN+xYSJReW+27VmKVoPkyL3b56sHq2NfM78W+0BrXKvWJnjFrc6xKVWfromWOnXEt4uQ52lYwojt6jvKRonfXidZ1m+ZG8Ys7r1AcqxqRO6VzXb/zam/WhKmf7QdxDyN6mxsbtDXW6d5VtvtwHPd85qI8O6VmH8yWJdbjf/RWk8zVLzuqwKWmpg35QK17nherws5bV9lylEOhYMaX64mNzfhBPb+pqVBf7MmNL+SeQWlX9db1bZiaVq9Sa8dCsZ7xgpVdnG7EnXJ9+MMvfVz1N41zK/HUTStxbn0lzq6pKFj99Nvak1mMjsfE9YgPhifw/uDsQqs4r7pyUb1qfDybOKWsM3dfo16lMNcu5P67vaUBL/WcxKrzGlSvo6Q7RvtCydZpYdT+hOUoWtfLmItcc801eP3113Httdfi17/+tVfNsISX5XjlSgrktqf7+BDaWxpkszw6JDurpehdbNLrDHMXS6vKSxEpKUZiXMCLGzt8G1DaUcJbCT3vLu8345P4wa+O4dHrl9vaX3oNmZ57yl1LTQa93qXgFkYySaXomXyz2n+inJudQJRD1PmBMQHp6Rmkp2eQFKaQnExnVQwwO5lnxvkqlWBR0/PO1hheOfShbLk4PQFlXbQMz77+nmPvTsRIfxj1WWEJdAghRA9KvsJo4p8RP2cmRkhNTRuyw0aqMSn5w9KSoowPl6KVzZ4Yn8T58/THMmrtqNMo364UqwTRlzk5DrGC1bGvmd+LfWF2TKFnzKpPZwU8fN0yjAlTSApp1FaWYf6ccltlx+o52naXHDSqO3pLTuZeSyum1tIHrfdgZKdq7vN2dTRj26uHHS9PS9zHLn3Rq7e5dsZoFcZxIW3IPuhdHMnth+qKUlV9q64oxVf/+cxObiOJaHp827TG8ZZ1lWWGfKDWPRfUFu4Cmln0zF3mojc2NuMHtX5jxjdJ5VZtV/XMzAy+9in1RTOjx+LJoWe8YGXR0+m4U6kPX393AB0tDdgrE9u1tzTgX9/6EE+82ovVrTFsW99mqQ1Bxk9HQZrFyjzuxGQaLfOrIUxNo6EqgrWXnKNpF7T6bCo9oziuyLULuetn0g2c4udyMqykO2bHpnK2Tstn5o6PtWKfsCRWuLrYfcUVVyASOdMpS5Yswa9//WusXbs2kGd2e5V1r5QBcs9nLsr63va9R7H1tEOQKvDq1hgevn4ZHn7pd1nfN5I5bsQZyi+WVile2w9nAziVXa/33eVSXlqMfb0DGBPsLVtopyGTu5aaDPpxR78TaNkJtQoLTu/yEK//2u9P2ZqUUBuNYExIG64YAEBzIGBUZrUy5pT69/5rl+Kz2/YqPqNWQOnWDh0j/WHUZ4Ul0CGEEC20fIVS4p/VBXIzMYL4N7122Go1pptWLcY1/2MPVi6qz8s2j0bUh5JiRSK9/lDtu4saoqYm4oLoy/y6y9fq2NfM78W+uH/XwUw1JCNjCr1jVjWdVbMPtVHVR8pCzxhXb5JxLk5ULzCqO0py29kaw02rFmcmBXNxOqbWK3dyz6u2+9av9oNoY0Rf7NRbqZ1JTcmfvy2S6//FuQG98qbl+8dSk7L98MmL5uOR65fh3p0HZfVtLDVlqJqk1K7r0eWh5KTqhp1z6ysN6Zxf/WmQ0bKpE5NpnBgaz9OlhXWV+OaNF2NwTMDwxBRqKktRH43grJqKrO+Z8YNqv1GSgdwFKylSudWq1PjVGSjKbGdrDPuPDWLT8wcyf3OiIqGoh2YXPZ3WE6U+FOeLi4qKsj7PfTeF7m/9WvHJCHbP42qh1WeJ5CRubm9GEZC1UN3R0oANEtlb3RrDo2uXY0yYwpIFNXlVO5VkWE135PoiGilBV0cz2hrr8Pv+UcytiuiKNxJJQff4WE+fhiGxAnB5sfuXv/xl3t/mzp2L1157Letvjz32GP7qr/4KdXV1LrXMHF5k3atlgFzTN5TVnqSQxh07utHV0YzbrmxBRVkJaivPDNy/fePFpjPH3V4MtrtMmJ5Bi9Xserl76n13UqRZRXK7TK1gpyGTu5ZUBu/59EUQTped8uuOfidQsxN6KizYLYe5LKyrxKeXnY0/Pq8Bm3cd1O2gE0kBQ8lJjAlTGBPSqJPscDFTMUCv7huRWT3tUOrfgTFBVd/0BJROvzvAWH8Y9VlhCXQIIUQNo9nViaSAgTEBMwAe2HUwq3ynngVyKUZ3m+T+Te0sbTHOrYyUYOPVLdi+96isX8utxtQ/kkLfR0kAyBrMy/VHcXGRalZ8yenz0Iz4Q7Xvmhl7BNWXuRFDGMXq2Nfs7xfWVeJbN16MgTEBD3x26emqQemsca3S2M5osoXcrhI7KgMolUB9+LplqI+WuboDWy9mdEdObkuLi3DN1j2KcbXTMbVeuZN7XruOeiL+QY++ANDl580g2hm1CepcX69WYUUJrYn+2sqIbD+8cqgfAPDNGy/G6MRUnr519w1mfd9o1Q0tXR4aF2QTmzpbYvjqn30Mw+MC1DbOyOFHfxokjOz+b29pwOvvDuB/vnYkz/e4eaSMXEyQW3F0/7HBrGPmpG2Syq2WL5yensE3rl8uO5d261Ut6HrmN1nfN+Ob9Y4XrCx6OqknSn0ozhfvuq0dk+lpvDeQlD0CEChsf+vXik9GsHse18oYu7MlhrnVEUQjJfj2n1+S5euqK0oxlprCD7/08Tzfd+sP3sy7llSGi4uKdOlObl9EIyXYur4NT+87mpVg2dkaw5a1y3HuXOXMWr3jHL19GobECsDDMuZqPProo/jzP/9z3y92e5ElqJYN8/BLv8PLd3RmOdmkkEZ33yA6WmZL9CyQBBFmM8dF3FwMtrNMmJEgy2ofSdF6dz+5owP37XpLNaOtVqOEo1HsNGS515JmJqWmplFcXITmWFXBDSrU7MQjOiss2CmHSm2sjUbwhE59Pjk0jmMfJfPK+v3JRfPx4LVLMTIxZShrz4juG5FZvdmDSv1rR0Dp9LubG43gqZtWIjU1jYqyErzZN5i1oGE0m15KWAIdQghRw8x5rhc31qG7b9ByaVu1nZC35UyQye1AkdphcWJvMClgMj2NfUcGMv6go6UBW9e35U0cyVVjio8KuOXZ/ar9IfbbyMQk7v/sUjz84ltZiwFiW8XFbvHaRpJqjS6EKxFkX+Z0DGEUq2NfK79X6wutsZ2VMasdlQHUSqDes/MA1qxYiCsumOfaDmy9mNUduV0nKxfVexZT65U76fOK49jGuZV48guXysbYgL/tB5FHTV/2HxvEYHISm3cdtM3PKyHKZa5tyN1V1tkSU62wooTW4oiQnlbsh1cO9ePua6Zw/vzqvM9y7YKZSn5qulxdXob13/8Vujqa0dXejNTUdGbxa/33/wMvbuxQfmgV/OZPg4La7v97dh5UnLtMCuks3+PmkTJqMYFUpqvKS/HTHN8kJ7faiSNlWByryptLU0v0MuqbFccLLQ3Y/NmlOBofw44vfxzVFdaWeJzSE7U+TAppFBcVoby0RHYxUaSQ/W0YKlQ4MY+rRm00MmunXjiYdXZ3e0sDbru6BfOry3H2aV96Vo219osyLOcz9Vyrq6MZT+87mhdv7Dkcx6bnD2DLuuU4t155wVvPOEdvn8aqI9hyw3LMn1OeN8e8clF9IBIrAJ8udgeppLnbWYJq2TBJIY2p6Wl8evkCbFi1OCsw7HrmN1i5qN72c6XcWgzWMmhaO7XFzxPjAlJT07i4sQ5vHBvMBB5unLul9e6OxZPYsGox/uqK85EYn8zLaOs8fSaZndiZISa9llJmklOZm35HzU58y0KFBbvRo8+JpIB/+/0pvNRzIssZRyMl+NzlTfjacz34wscXqV4jNyvTiO6ryewnL5qP6oozZyKVlxar7mZTyw4NQkB5Ymgc9+7MD97EBY328xuy+kMuq1lN5sKQQUoIIVqYOc91w6rFukvbasWoakd77LqtXXaXNZBth+Um9qT+4M2+IXxm+QT+d9fl6B9JoaKsBB8OT+CqC+bl2X+t/hgaF/DAi2eSM6OREtz7mYvwtWsuxPuD44iUzMavP/p1H75148Wq1zKD0bEHfZm9WB37epUsbXbMakdlALU4d1/vALramy3vwM5NMpZOTpndDWWX7khj6v3HBjPtBIBGlck7O9Ejd+Lz7j82KDuObc9JGqL9CCZqOt3V0YzNOw9gT++AIT9vloV1ldhyw3IcG0giMT6JirISzMzMoKSoCN+68WLUVpZhYjKN20/L3P5jg3jt96ewclE9RlNTqkf+aY1lPxieUG3b0Lgg+/dcu6BVTdIoseoIVi6ql+176py7KPlXcff/Q9ctxbunxrLmnaVxqtT3uHWkjJFFdT1+IZEUUFIMvHh7O8ZSaZSVFGPP4VP43u538/xAbpzR3TeoWilQSceUENv7wfAE/jA0jnlzynHg/QSu/86+rLGBH+db9cYTjNeV8WOFCiNH0BqJKe2IvRNJAQ+99Dv80eJ6/L9/0oqp6RlEIyUAgHc+GMFFZ8/RvIbZ9hu9ltqROXt640gkJ/FB4iPUK5Q2B7THx3r7dExI4+Wek3lzzNs3XIbFc6O+mAfXgy8Xu+3mySefxDe/+U2cPHkSS5cuxT/8wz+gs7PTtuu7mSWolQ0zlZ7JOg9Eit/PuTBr0LSy+bUmAKUL3k72j9a7S8/M4PYd3di6vg0/+NUxV864tnNBT3qtFY11splJbiQV+BUlOxG0LOP4qID5c8rz3q00G63rdOkxJXKzMo3ovpLMfvKi+di8Zgm++s//qanrSu3IxY8BpUhmINebHWyJ7+XBa5fi481z8/pDLqtZiSAs+BNCiFXMnOeqt7St3mpCajFCVXmpqh1WmtgT/cFfXnEeli6snfXRLxzMusYVF8zLu6dWf6Qms3eDJYU0vv7CQbS3NKCtaXaC2k9+gr7MfqzGrn5JltaDHZUBtOLc1NS0pbbOqShVXZw1u9PLTt0RY+rB5CQ27zzgSTK0ltyJz/va70/JjmPFf3d1NKPn+BDtR0BR02nphLOWnze6UCVHIinggR+/hc9d3pQ3/9PR0oD/788uxJf/934khXTWZgK95/+qjWW1jsdLTU7Llk2XswtJIY2e40P4wuVNWZUkzUCf7R/U/Osrh/rx3//0Y4qVgIBs/+jWkTJGYwI1v6BUzbCzJYYnPt+GHb/qw0PXLVP8vZ542sjRBNL21kUj+Oo//TarqhLg3/lWvXpN3VfHT3PHRo8lMGLb7Yi946MCfn6oHz8/1I9/+PnhvM8vvfMK0+sddq6d7D4c14w3jn2UzFQ9MBsz6+lTtTnmkqKizDEvQSD0i90/+tGP8Dd/8zd48skn0d7ejn/8x3/ENddcg9/97ndoamryunmG0comSQpTqr/38zkXZgyaVubeN2+8WHUCsKujOWuwrdY/RrKW5NBzzoo0M1Ys23RerAoLaiscc2p2LuiJ1zqZmHA8E5p4w/DEpKwzlk4OGD27y6juy8lsdUVp3sIuoKzrerPv3AoojdoXrV1C35ApLQYYHwD5ecGfEELswMx5ruWlxarXzBowytjhu57rwSPXL0NdpfZZvVp2WMsf3PWpC/H4z97WnYCoesZZawyvv5vv28V73fPpi7D2knN85yfoy8KL0xPoduzk0IpzRXtitq3lJcWKi7NFALasXW7quoD9urM55/xjwF+T8wvrKrFyUb3i5oF9vQPY/Jkl+HJHs+dtJeZQ02kpWn4+NTmN3384gpLiIsPzQiLiZPzrRwZky3YPjgmZRWmlMqda+qM0lo1VR9DZGpONH8Rzl8+qkZ+Dctqn0mf7Ay3/Ku5s1uMf3TpSxq6YQKmaITC70xJFszvbxyfTigvWVnRMi9GJqTxfKuLX+VY9ek3dDwZmjyXQ+37tiL2VbIFYCSk1NXvkr5G1HSfWTuKjAlJT6sln0njEbMysp0/dqsDhBqFf7P67v/s73HLLLfjSl74EAPiHf/gH/Ou//iu++93vYsuWLY7c0+qiqBpa2SRaGZp+PufCjEHTUsbBMe2ycVKU+sdo1pIcSu+us3X2HCbxXKakkM5alNt56yrHDYqdC3q10QjejY+pfsfPSRde4aTdsJOaijJ8NJafyS5dADd6dpcZ3c+V2SP9o7p13W/ZoWbsi57Bp12Bip8ySAkhRIodvlNvprZ0ok5PUpdajLrncBy9/aN49vX3dMWSanZYyx8AkG0noLzLRak/7r92KT67ba/ifYSpaSxZWKvZHi+gL3MHt+NZpyfQ7djJoSfh2UpbR1JTijq+t3cAIyn1ZHgt7NIdrXH7B8MTvtDRUY3+mphM+6KdhYpVG6Om0+fWn/HF3ceH0NkSy9vhBJxZqGprrMMtz+43vdNK9N+58z8iT37h0sz/q5U5NTMJXRuN4IFrl+K+XQez7If03OU/uXC+6u+d1AP6bHPY6YP1nFWt1z+6daSMXTGBUjVDkT2H43j31Jiq/lvVMTXc2ilvN3r0mrrvDlZshZVFUb0yYDX2lrMFdhy3avfaSW10tkqbWmKMOE4QMevztfo0TOs4oV7sFgQBb7zxBu6+++6sv//pn/4pXn/9ddnfpFIppFKpzL+Hh4cN3dOORVEt1LJJEknBsSDC6ckLMwZNy8kPT6gPVqULdLn9Iz5vemYGD7/4li1Z6HLvrrS4CNds3aOYqODnBAUl3MrclGJVd73EDbthBjmdj1VH8Ov3Psqb5JdmmxmtUGBHMKNlC2ory7Dz1lW+yA6V9uvcqgjufeFg3kSKln3R0rExjcQnPwUqQdZdQgoVP+itnb7TyHmuuw/HdSV1aQ0YxdLFVnc0avmDZMq4PxD7o38khcT47HnAVeWlmExPqybWGo3vgpLoFyac1F0v4lmjE+hmZM7qTg6lOFc64W1lnK4V82klwzuN2OcDMsmyUt4fHMfZJne52YkX41g9+MHveo1dNkZJp8XriX7+hVtX4aGXfqe4UPWtGy8GYH6nld6qD4D+41NyUbN5RQDamurzdpSLx38pVVak3zaGW7prtw/W419roxFd/tHOEsBW26xFIingo6SgqXPi52r6b0bHtNoWHxV0VZgi1gizz7VqK9xIttATe0v9UXV5KSIlxRgaF1B9uvJnri0wWyHFaWqjEWxZuxybnj+Qd1a2GG/kYqaPtfrUr/GvGXy52N3Z2YnKSusD4ng8jnQ6jbPOOivr72eddRY++OAD2d9s2bIFDz74oKn7mS3lYAalbBKnggi3Ji+qIiV4+LplGBOmkBTSqK0sw/w55Xnt1uvkazTOKBN/n9s/0ud96qaVtpaIyX13iaSAlYvqHc9ydBO3MjelWNFdL3HTbhhBTeevumAemmNVAM5M8ncfH0JHSwP2nv63NEN9dWtM8zmsTiRqOeb6aET1nGq3Bu5iv75xbBBdHc34s6Vnye4YANTti5aO1VUGJ1AJqu4SUsh4rbdO+E6tTO3cGFtM6rrtyhaUlxWjrjJiaMAoxqBWy4Jp7RotLSlS/X2ktBhHTo3m+b0xIY2HXvpdVh9vuWG5bOZ5NFKCzWuWYHpmRndJOL8m+oUdp3TXq3jWyNjXisxZ3ckhxrkfDE/g/cFxAMhMeK9cVK97nC4Xr2rFfLUan+vBbJycO6bWwg8lEr0Yx+rBa7/rNXbbGCWdltqTk0MTqgtVuaVFjcqv1rEh/SNnFloqykpUryU3ttOyeQ1VEbxzcnYBp62xDqmpaVzaVA90AO+cHM6Tdfptc7ihu07FxXr8q17/6EaJaqvz4aKMb1i1WHOuWU3/PxyewOCYgJHUFNrPb8C+IwPYvvdoVvKZUX8i1b+NV7cYOjaQGCesPtcOW+HWoqiabZHzR+Li8Prv/wrt5zfgkeuX4d6dBzO2QE+FFACW54XNxMznzo1iy7rlODaQRGJ8Eo1zK/Gvb32YiTdyMdvHan3q1/jXDJ4udn/44YdIpVJ5Z2e//PLLtt6nqCh7kmdmZibvbyKbNm3CnXfemfn38PAwGhsbdd3HL/Xt7Q4i7A6clBRfLXiujZ75vREnX1+lPoBomhvFL+68Iqt/cp/XbBatXtzKcnQTL57Jiu56iV/shhQ9On/R2XPw6PXLM4kpddEyfG5lI77+wgHT79zKRKIVx+z0wF20eYnx2QzhP1o0O2nyv/a+iyULalR/q2RftHQsGikJTKASVN0lpJDxWm+98p1GYmy9pYsBa7Gk1B/sP51I1dZYBwA4t74S0TJlf9De0oCXD36AJ17tzfJ7SnHAwy/9Dts3XIYiIHO9aKQE2zdchu+82pt1zq2aH/Vrol8h4JTuehnP6t394bXMiXHu2TUViI8KaKiKGDrjXileVUpCAWbHuzWVZTjSP2p64s5snJzb57NloRtkk8hFm9hQ5b3e+3Vs7rXf9Rq3bIzUnkzPzOCpnHKnInKlRY3urtYznrt88VyMpSZRF41kJZZLUapiocfmbV6zBJteOJD1jB0tDXh07XLf2dCg4obuOqUfds8t21kCWAmtSqhKi1BSGb+4sQ4LaysU55o7VfS/b2AMm144kPW7jpYGbF3fllm4MupPcvXP6LGBxDhh9bl22AqvF0U/HJ7Ae/ExrL+8CTe3N+PNvkFs33tmx3ZXR3PGp33zxosxOjGFkYlJTE7PqF53aFzAAy++ZWle2Mrc8rn1UWAG2PTCAVzcWIfuvkHZhW6n+tiv8a8ZXFnsHhkZwV//9V9jz549uPLKK/H9738fX/nKV/Dd734XRUVF6OjowIsvvoiaGvVJf6PEYjGUlJTk7eLu7+/P2+0tUl5ejvLyclP389O5GXYGEXYGTkqK/+ja5XlGRby+NHg26uTPqqlQVdYFMsYm93ntKhGjFli5keXoNm4/kxXd9RI/2Q0RPTp//vxq2XfplRybdcxOD9xPDI3jrn/pydq93dnSgI83z0V331DWWeJyqNkXLR0LSqASVN0lpJDxWm+99J16Y2w9pYtFrGbAi/5gMDmJzTuzJ60/edH8vMx2uXbsPhzHXc/14JHrl0GYmpaNA5JCGl3P/AY/vaMTU9MzGJmYRH00gnt3GjuOw4+JfoWCU7rrdTyrpZd+kjkz43S1ePWBH7+FLWuXyyacPnL9MtzzwgH8/FB/1t/1TtxZiZNz+3z73qPYeWs7HnzpLcWy0GsvOUezTW7gx7G5137Xa9y0MVIdfVynHwfM7a7WkjVxDuy///N/YkN7M2aAvEW03IVpQJ/NA4B7dh7MW8zb2zuAe3cezNJvP9nQoOGG7jqpH24sUNuNXJu1dFEq49v3HsV3Pn8pNl7VAiBb5zpbYri5YzE2/jBf/z8cnshb6AZmdaoIRdh5aztKiot0+xNxDjk1lc5qd+6xgbWVZaiPRjz3U2EirD7XDlvh9KKo2trJ7Pzqf2YlTrZLkkn29Q5k5lhfOdSPu6+ZylT4PNI/qnrf1GT++NfIvLAdc8vnzo3iifVtGBgTsLbtHDzw4/zFdyfnc/0Y/5rBlcXur3/963jjjTfw1a9+Fc8//zz+/M//HEeOHMGePXswPT2NW2+9FY8//ji+8Y1v2HrfSCSCP/qjP8Irr7yCtWvXZv7+yiuv4LrrrrP1XkC46ttLsStwUlN8MXNFOhCXfi4Gz7lBtujk/9vq8/CVP7kAMzNAVfnsuYLRyGypJ6PKmvu83ceHLJeI0ZPdE8QgUoswPpPd+NFuWNF5L9+5GcesNXAXzxc0U8omkRTyFroBYE/vAKYxm3Fo1b6o9XdYAhVCCMnFj75TDunZ130fJQEgqwQqYF929sTUNE4MjWP9xxfh5o7zMlnur5yOrcXM9sGkgMT4ZF47AGDP4Th6NSYCkkIag0kBlzTVA5idODB6HIfXC6PEfvyuk0GXObV49ZVD/dj06YvyYr7qitK8hW4ge9JNvLZSjGtlgSu3z5NCGj996yQ+s3yBbFnoP1pU76vKQxzH+guvbIx0PJUYn8TEZBqvvzuQ5z9FX557huj+Y4N449hg1jVzJ771JOv8/FA/Xj8ykFnckupPcnIq7zd6bZ5e/Q66DQ07fvfBXpNICnjt96ewYdVirL+8CRVlJZk4WdRFqYwnhTRu++Gb+MsrzsNdn7oQwOxCWFlpMf7tnX5s/KG8/p9MTMjO6wDAnt44pmdmcMH8ObraLJ1DfvILl+Z9Lj02cOetq1SP7CNExC5b4dRco9raSVWkZPazHB3L3dEtrc4r9U1aR4e8/q728bVqC/F2JYVJY4InPJjPDUP868pi965du/Dss8/iqquuwrp163Duuedi165daG9vBwA8/vjjuPPOO21f7AaAO++8E//1v/5XrFy5En/8x3+M733ve+jr68Nf/dVf2X4vr0s5OIVdxlBN8fccjmPDqsWKvxUNlFKQveycWvz9z3+ft7tbXEw2oqy5z2u1RAxLPhE1/Gg3gjxYMuqY1Qbu0UgJZgBs3NFtqgxN/0hKcQFAzDi8fUe3oyWowhCoEEJILn70nUqIdriqvNSxDHitLHdpZnt33yBueXa/4rXECXQ1pHGAmQnwIMcZRB6/62TQZU5Lz4bHJ3HevOyqS0f6R2UTyQFg/7HB2UoQuw6qxrhWFrjk+vwfX3sXW9e3Yfu+o3m7u287vYOOEDm8tDHS8dSJoXH8z9eO5C10/e26FRgT0rJniErLF4sYmfgW9VC6uCWlrbEOZ82pyLqWHptnRL+DbkPDjt99sNcMJifxUs+JPL8j6mZ8VMiT8aSQxt+/chh//8phAMAv7rwClZESvHlsME//xVj+nQ/VE0aHJ/ITU+TInUO2q9ooIXbaCrvnGrXWTjavWaK4piTd0S3VF6luqO1Iv//apfjstr2KbRtLTWpuYnQiKYzzueZwZbG7v78fLS2zg5eFCxeisrISH/vYxzKfL126FMePH3fk3n/xF3+BgYEBPPTQQzh58iSWLVuGl19+GYsWLbL9XmGqby/FLmOopfhqZ2OLBkouyO7qaMbTOQNmwPxicu7zSkvE3HZlCyrKSlBbqT+jxsmST2pZRSQY+NFuFNJgSW3g3tXRjAd2HczLHNRrW4bGtW1ebgmq1NQ0zotVYUFthe53TztACCk0vCyfZhanMuAzEwMaWe7iAFtrwlrcKaa36oiZCfBCijMKBT/Gs1KCLnNm9Ext7N3V0YzNOw9oxrhWFrjk+lyMe+/9zEX4yp9cgP6RVMbmdD3zG7y4scM2WWF8HC6UbEzn6UlqsRqX0+9YyZcD+QnSQL4vlqJ34ltLDwHkzSnZYfOk+h10Gxp2/O6DvSSRFLB5Z35pcalujkxMojlWpSnjtdFIlv5XlZciUlKM/pEJJCfTqKlQX2LR+lwkdw7ZjmqjhAD+thVaayd65lfbWxrQfXwIgLxuKPnwgTFB9nxskdrKiOYmRr0xM+NT53FlsbuhoQGnTp1CY2MjAOC6665DXV1d5vPR0VFHz0K49dZbceuttzp2fSlhLBtrlzHUUvy6SvnPpQZKLshua6yTzXAFzC0myz1vUkij5/gQvnB5k+w532o4VfJJT2l0r6ER14ff7IbXAZCbcqM2cF91XoMl21J1+igFJcSMQ2mW/urWmKEEnSDYAUIIcQIvyqdZtatOZGerTQxIs9zFAbaa3xMnCMSqRsVFRZrnhJmZAC+kOKOQ8Fs8K8VrmbOKGT1TG3vrHT9bWeCqjUb+/+y9e3Qc5Znn/9WtJbVkXaxGYINkC0sJOLZBxJCJJdlAJvMLCQkYL/OLh+zYiGR+EzCeDDs74IC5D4YkM7MLhGwywYazJ/FmZ7g4YbJzw1mwTSbcNLENhljGWCY2sVtILUstdevSvz9Mib7Uvd6qeqv6+zmHc7C6u/rtquf7PM97e15suWYpjgwmMTw+OVs29s1jCTTXVeGPt75cMLAoqhQy8+Nwku1jhsfTSE3O4KV3BvHFR3YjmZ727BmrxfJDJ0ZNxeJszO7GjNVG0NMRU72+ErebanLbY9bnmdW3FR/KGOsPMsdgP4mPpgsWdiko2pxTVWHaxhX9q8WZ//Unv4fu9ibsVvm+7vYmNNaYexb5Y8hOq43qQb0WH7L6CqO5E6Px1frqClzf1YaN2/t0taHVH9eLh+npwvO8FZS82UzO7HV+Wqz69mSye9myZXjllVdw0UWnz5n48Y9/nPP6K6+8gvPPP9+LpnhCGMsMiHCGRsJf0BQteF0tschPQPR2hAP2Os0inb8bJZ/Mlkb307FxkMEasvkNvxIgr+1Gr1NjVC7KyLfURMo1V+D2dMRw4lQq529WOytafuDVI0N44TcnsXxBI0ZTU0WV1BBCiguvy6fJePSMmcpJ2YPWWnGvq71pdoBA2X35fzb2YGomo5sH2J1EdJpn2M1xmZ+6i2z5bDayDu6ZwY7O9PreRig5rpNFAseGx3Hb0/tytNbTEcN/+YOP46tPvqK6g0ZEKVYzfhzQP6ucyIvynO7+2RtSxWqrVQyt7Masj0Zw31VLcHve7tTsuL36wrMLPmfk86zqW7necHISY+kpjKWn0VBdgWjWBARjrL/IHIP9wkibAGa1aDZP0IozG378Ov7Xn3wad/90f86Ed3d7Ex5YvRRn1lWZarNaSfXsaoD11RVo/HBBmpPn7YZei3VyLWjI6CuM5k5qIuWqeW00UobNVy5GrDaCxPgUnr5xBRqjEdN6A4zj4fsjE7qfPzUxiUXNtbrXAODpOEMxx2NPJrt/9KMfobRUe9LgzDPPdOW8biIWp87QyHnMM5lY5CcgVRX6q3vslooQ5fzdKPlkVN5jcCytemaUV44tiIPFpBCvEyC/7EarUxMfTet+zmhAriFagZsv7wCAgoGJDZe1oy1Wg+dvWWV7wFXND0QjZXh4bSe27TmMTU/vm/17T0cM9121BI3RCmqPEEI0sHr0jAwDOmYqJ+UPWitx78SpFAY+SAI4XSIx+0zR5Qsa0WAyZtidRLSbZ9jtvDM/JTIO7pnFqs70+t7nNOr3BbNzXDv61tLaroNxZDIZfPmS1pyd5cpA5Uwmg76BIUf+VM+Pmz2rnMiNmbEQ5X1exWczR4Qo2NmN2RitwJXL5s8ee6WU/9+4vQ/LFzRqjikZ+Tyr+h5LT+MODf3URMoYY4l0GGnznMbqHLvM/v+RiUmgpPDvWj4oPprGl3/wSzzz9RUYS09jZGIKdVXlaKyxNvGmdQzIozv7LVcC1MKNnLiYJ9eIc4zmThqiFXhg9VJseuajhZTRSBm2rr8Y393ZnzP+acfu9OKhXolz4KO8We8aehVgnB5xm0+x93k9meyeO3eu7utXXHGFF80gEmBmdakZwWW/L5FMS1cqIr+tosvmGa1OnJ7J+OrY3DynnIQXP+3GTikbo4Uq9dEIFsyNFgxMnDiVwoK5UTTXVaG5zn6b1fxAb3cbtu05XLCbfNfBOG5/dh+uXDYfqz52BjsbhBCigpWjZ2QZ0NEbGOjpiGFRc63qAJsS92oqy4XkqF5NIjrpvDM/JUHHqs70zhe2kuNa/V49re3uH8SNl7bPTnaLHKgExJxVTuRG7xlHI2XIoPD8bLfjs9EgffsZtXj2xhW2K0rURyNY9bEzXDmKway+jeLvfVctYYwl0mGkzbPycmQz+b2eD4qPpjE4lsaFrY222+zGGLJaO0Xqtdgn14hz9Oz+W2uWYSw9jbt/9gYuaGnA+hULkZqawcKmKLb8/C3s6hdjd1rx0MomRq1ruHXErRrF3uf1ZLJbYdu2baitrcW1116b8/e///u/RzKZxLp167xsDvEJ0YNhRokA4G2pCDXsrojXWo1stDpxeibjq2Pz0omT8OC23dip7uC0kzGvoRqfX3JWjvaXL2gUoj81P6B3BqNyJhU7G8FhYGAA8bj18qPZHDhwQFBrCAk/Zo+ekWlAxyhWGe0kkb20c37snnGQ4zI/JcWIVt9bxEC6Vm5tpLWqirLZ6kaN0QjueHa/sIFKEWeVE7nRe8a93W24e8d+zxc0mKliuAA1jr7Dj3idrfHqSJlu/B1LT+leizGW+IGVMR2z+b0bR1XmY0bvTipMic6Ji31yjYhBb5Gmsojt3w6cmH3/4+uWF+SPCnbtTktXTvNmL/yGQrH3eT2d7H7wwQfxP/7H/yj4e3NzM/7kT/6Ek93ENrKUitDDyiS/0WpCvVVFnz2/2feOhpdOnIjD73KsbtqN3R14IgYV3NrtpuYH8s+Dyyc1NcPORkAYGBjAeeedj/HxpJDrTab0y/ITQsyv2pZtQMdprHJzV7aT3EItdj++brnuZ/RyXOanJOxY0ZtTv6GXW9dX62upvroCi5prAeB0X13gQKWIs8qJ3Og94xXnNvm2oMGLyWin8dqKj8jX+GPXXaR7bbNlXgnxGrPaNJvfm+0vOB1f09O70wpTonPiYp9cI+JQs3uteR2j8U+rdmekKycx3o0jbrV8TLH3eT2d7D5y5Aja2toK/r5gwQIMDAx42RQSQqyUiohGytDb3YbOlobTZzqdHPXlnEU1zK4mVFtV9Nnzm7H5ysV4b2hc9zvcdmxuOHHiLjKUY3XLbpzuwPOqNKsVlKRm42c68PVLF2HPoUFs3X045zw4NZTX2dmQn3g8jvHxJD7Vexfq5i20fZ3j+36J/T/9Aaam9BdBEULM7/4QMaAjeoGZjLHKSW6hFbuN0MtxmZ+SMGNHb3b9hlFu/e1rLyjQmtL/XnFuExLjaRz6sP89mhI7QK7nx62cVU7kRe8ZG/WFtOxJVEyWMRYrWPERaho3urf11RWMsURajLSZSKaRmprGY9ddhKqKMrw+MIStuw/nLOJQ/IeZ/oKb42siKkyJzomLfXKNuIMSmwfH0ti6/uICXRrFJSt2Z1ZXdmO86OMJ9HxMsfd5PZ3sbm5uxt69e7Fw4cKcv//6179GU1OTl03xBb93TYYZKyW/o5EyPLy2E9v2HM5Z9auX6Hv53MyuJlRbVVRbVY6/+Ptf44KWBnS1NxWc2wt449i8OGOGnEaEfcpSjtUtu5FtB55T1JKano4YfnZzN8pLS3TPbi0pOe0D2dkIDnXzFmJu68dtf37k+LviGkOIC8iWH+ut2lbaOjWTUe1wKxj5WLcHwGS4n05zC63Y3Xd02HaOy/xUDmSx0TDhdS5vlFuPTkzlaE2v/33vVUsQjZRp7grN9qdmbUfUWeXEPm7qPJFMYzw9jW/8fge++YXzUVZSgrLSEjTVRBAf1a9kpBafncbkIPg0qz5CTeNG8bd5TiVjrA8Ewf5kR80HdLU34eG1nbjtqb34z59egMs+3oyy0hK88u4HaKiuQPOcSt3+gpsxWcT4luicuNgn14KOSD8i6lp6uty4vQ/J9LRuXOrpiKG8rASJpLnxXi/GjUVVgDHjY4o5Hns62f3lL38ZGzduxJw5c7By5UoAwAsvvIA/+7M/w5e//GUvm+I5MuyaDCtWS373drdh257DBc5QLfHw47lZ2S2U7aBGJiYxOTODC1oa8L9eHsCDH55Xnv07e3Qcm+gkWfYzIMOAKPu0E9Td6lSZmWSw+p1hKqmkldTsOhjHPT99YzapUUsK161YiB//+wC2rb+YnQ1CiBTImh+rrdo20+EGjAd03BwAk+l+Do6lcUFLA9avWIjU1EzOLhkzAwZasXvr7sN4eG0nSktKCn6n2tmL+XkD81N/kclGw0R+Lp9dxSw1NYPjIxMAIMzOzeTWi5pr8cjaTrw/MoHU1Ay+/U9vqfa/79yxH5uvXIxNT+8ruE62P7VqO1q7b4p58M8r3NS5bvn8qPUFDU5jsmw+Tau/bLW/r6ZxJf4CuWNM2fqpj4Ix1kNks78gouUDFBvftv4SjKYm8VBeDFPGVpUjObKxqjdFt6OpSTREI0hPzWA0NaU55iVqfEtkTswFpcFFpB8RdS09XZaiBI+s7cTN2/uwdfdhbFt/cUG/sKe9Cdd3LcQV/30Xli9oNPX9Xo0bi6gAY8bHKHl4McZjTye777//fhw5cgSf+cxnUF5++qunp6exbt06PPDAA142xVNk2TWZ3yatSSO11wBYer9Xv8dOye/OlgZT5zj59dyslH/RGnhVfu+XL2lFb1cbUlMzqCwvRevcKOapOHi3kmSZy3gFHZH2aTWoa+0s3rJ6Kc6ZGzX5C7QxO8mQbaOJZBonTqUwPD6JmkgZairL0VBdYXheSTRShsZoBIdOjAZiNbSZpCZWG8FNl7XjT1ctQmJ8EpXlpeg7Ojw7GZOansGjHw5UEEKIX3idZ2nlq2byWKOBsN7uNjy6s9/UgI6oVeP57a6tLMedO/b7fj8VMgD6BoZycu7sxQFGAwZasTuZnsbG7X34Pxt7MDWT0ey8G+UNssb5MCNjnzi7bXb6s9mfq6+uQE1lOUYnpgyvI7r/nJ3LW61iZgej/mp1pGz2/+//xwNYv2IhdqnsugFOP//bv3B+wQRltj8VaTtc8OIuWs/q1SNDeOE3J7F8QSOS6SlTEzpmr23muDet+GwUk0+cSmm2yyufZtZf6MU9q8cFqGlcib+93W244wuLkZqcVtUPx4C8wc+Ymm2TtZXliJSVYng8jdoq4/Fju9/j1jiNng/Y0z+I6ZkMHv1Ff8FirV0699nK+Jqi29eODOHhtZ341j+/XbCYJD92iywZLlKvjK/BQ6QfEXmtbF3mL+CsqijDvPpK/ORPPo2x1BQqykrwzSvOw9hnpnFyNIVIWSl+NzKBEpQUfL9ybTNVgfORqTqmWR9jR99hqBbi6WR3JBLBT37yE9x///3o6+tDdXU1li1bhgULFnjZDM+RrYSuVhL80JplyACqk1g3XdaO3ideydm18uCaZSgB8Jc+riQcTk5i/YqFWHtJa8G5KlolvwfH9EtbKU7Br+dmtvyL0cDrly9pLZjUf/6WVQXXNNMhtdIJJWIwCjAi7dNKUNeyl9eODGHXwZO4aEEjkulpofailzTdtWM/7vriJ7Dp6X3Y1Z+76OPmyzuwYG5UU1PRSBm2rr8Ydzy7P+ezMq+GNpvUjKWmcMOTr6q+Z5cPcYcQQvLxMs9Sy30/e34zNl+5GLc/u98wjzUaCLv98+dj9YVnmxrQMevH9fIArUVn61YsxEuHBgvKAYu+n78dSuLIYBLD45OoqijD82+dwNvHR3DPVUtmF6DdvWN/wcBg9uIAowEDvXx4+YJGNEQrfJ+AINaQrU+skD3QrAymvRsfQ0tjFGfWVWq2KVuH2RPMRoPUbiwyzs7lrVQxy8fsAJeePrvam/D6wDDOqquafeZrL2nVbf94elp3gFy07XAyzj3UnlW2Pu577k3TEzpmrq1gdNxbtj1l2/nUTEb39wx8kERNZblqu9zyadntq4mU47WBIdz33JsFY3HZbTKKe/ddtUT3O/NjspbGk+lp9A0M4eyGanx+yVnUkY/4EVMTyTSGkpPY/Oy+nAVMXe1NuL6rDWv/7lf45IJGzfFjKzHOq13rRnn5xNQ09vQPqk64vT4whMGxwvtsdnwtW7cbLm83HbtlLhnO+BosRPoRkddSdKm2gDMaKcPWdcvx3V/0q/qhWz/c+LegqQb/4yufxNRMBnvfG8ZwchL3/eObOG9eHTpbGnA8MYET0Qq0zo3i7EbtcWPAf13l49bEfFiqhXg62Q0Ajz/+OP72b/8WBw8eBAB0dHTgG9/4Br761a963RTPkKmErl4S/H9/cxI/33s8Z9IHOD0xMpPJzO5aUd5/21N7ccXSeb4NJB0bHscdKkmWsmMEAGYymdwdm7URlJToX1dxCnaem4gVMGZXIxsNvPZ2teX8Tcs5G3VIs0vKmXFyYVgF5DdmAoxIv2IlqBvayzP7NdtsFz1b//i8Omx6em/BbhGlk3Dlsvn4/JKzVDW1+crF+O7O/gKfJ8qH2dGC0WfMJDUjE5NITc3ovs9O3KG2CSEi8So/1sp9Pz6vDpue2ac6qHTrU3ux+crFKCstQawmYrgjKj01g8Xz6021x4wf18sDaiJlmsdZ5Ofr2Yi6n+99kMStT+/NuW/K4MJdO/bjO9decDpua+zi3NM/iJsubTccMHBSDtGLAWCjmMiYWYhMfWIFxT8oO6rM7obO9ytmJ5jdWoiRncubrWKWj5UBrvpoBPdetQS3P7svZxLg0+c2oaykBOOT0xhOTmIGGTy+bjnOmFOp2/45VRW6A+Qy2k4+1Pxp1J6Voo++gWE8srYTT9hcjGH1uDczdv74uuWGv0nE7k2zmDkyRe1eGcW99PSMpUH8+mgE91z1Cdzx7H7VeL9xex+WL2gsShuXBa/94rHhcbzwm5N4bu8x3cWMj+7s1xw/NhvjrMZKJ/7XKC+PRso0K6Z0tTdhdefZBZ8xO76WrVsrsdsoRwbge+VCxsRgoOVHlLwuNXV6gZOZZyjSJym6VMuve7vb8IhKtQXl31vXX4yH/umtHD31tDdhxblz8UefasXju3N13N3ehAevWYZz5kal15WCGxPzYVos7ulk9+bNm/G3f/u3uPnmm/HpT38aAPDLX/4Sf/7nf453330X999/v5fN8Qw3SyGYLb2ovKc6UqaZBDfPqSyY9FFQmzx98WAc61YsVH2/26vzZ0Wo4dz+v1Xn4hPz63Hvz97Iec/KjhgeWL0Unz2/Gf964ETBdbOdgtXnJnIFjJnyL0aBJHuyS29gUK9DarUTGpZVQF6gV07VTIARWZrbyoCySHsxi56t63UKFL+ldV7JTCajej6g0nYnPsyOFsx8xmxS84FBBQurcYfaJoSIxqtSYVoDwHrxY9fBOI5+kMQNT76KlR0x3HvVEkQjZQU7pu201ciP11aV4y/+/te6u7OsLHbMb6OTwadEMo1NeRPdyvcCQGdr4+y19aisKDX1nXbLIbo9AGwUE0WeVxeWgcJEMo3qijI8dt1FBdW4FLR05OZ9UPyDlR1V2Z9TMDtI7dZCjOxc3s6CRzsDXInxNDpbG/G17nMxr6EK9z/3Zu7AYkcMN126CDd/WPa4q72p4P4C5gblZC8tyTz5I9SeVWdLw+x5z1UVZbol7fU04NQO1Oy87+iwpm12tTeh7+iwZrvqqio0d3tu3X3Ysl2aPTIFKLxXRnFvLDVlaQHZseFxHIkn0dnamHMsXvbRWCdPpVBbWa56TB5xHy/94u9GJnDrP/wa67vaVLUC5OagWuPHZmOclVip5X/vvWoJElml1bW+Vy8v7+mIAdAe79rTP4i7f/oGHs2LkWbH17J1azV2a+XIyfQ0Nmzv8zUeMSYGBzU/Yvc4HJE+SdGlWn5tNAZ8amKq8NiB/kFcsXQefr7veMFru/sHsemZfXh0bafUusrGyaJwLWStwGUHTye7v/e97+Hv/u7vsHbt2tm/felLX8KyZctw8803h3ay261SCGYCSP57HrvuIs3rGQVXtdf1PuPmCmujXc23fu48PPRPb6kOWHzzmX3Ycs1SpKZmdJ2ClefmxgoYo/IvRoHk3FgNnr1xheHAoFaH1OqOgDCtAnIbPe2Op6dNBRjRpbnNDiiLshcr6Nm6Gb+ldV5J38CQ7mft+jBbA4YmP2M2qXn53Q8cDSo6/T2EEGKEV6XCtAaAzea9Lx6M484d+7H5ysWqC6SsttXIj4+lpnTzgLH0lKl2q7XR6eCT0Y7t3q42nJqYNMxRG6rdLTfs9kJjvZj47WsvEBIzwzRQaGanopaO3L4Pin+wmsvm+xWzg9RuLsRQcvnjiQnd96nZv50BrtrKCjy6sx8bLm9H3+4h1fNMld19ykQngJz3mR2Uk7m0JPPkXNSeVWpqZnay6LpP6R9hqKcBp3agZudatpm9g1mrXbHaCLauvxiP7DxYsNtz6/qLLdul1cp92W0yE/fM9vcVm16/YqGmXwSADIAjHyQRjZQVlY3Lgld+8djwON6Nj2FX/yDWGug3OxaqxUWzMc7KkT9a/vf2Z/ehs7URj+7s180b9PLyB1YvxS/fGcSnz23SXSCrFiPN6C1bt5Xlpbq/WS125+fIiWS64JhR5X54FY8YE4OFmh+xu5lJpE9SdHng+EjBa0Y5d2Jc3X+cWVeF3Rr92Gwdy6grNewuCtciCFWUzKLvTQUzPT2N5csLywR98pOfxNSU/sBNkFFEuvLDVWEKTlZcGAWQRDKt+h69AGoUXNVe1/uMmyusjURYUgLNFYcvHoxjYnIGj6ztxPO3rMKzN67A87eswiNrO3NWpVp5bmYGCESjBBI1VnbEMK++Che2NmJRc62ujaldx86OAKN7cDwxgb6BIRw6OYpEUvz9CAqG2h03d6a8ln0alebWu/f10QgWNdfq2k2sNjK7wlXBjZLZ+d+pZesN1fp+prK8VNMXuTUYfuJUyrI/sOJDlKRGy3/VRyO49GNn4ObLO9DV3pRzrR4bcccP/0YICT9u5MdqaPl6K3nviwfjuKi1QVhb9fy4VgddQWt3uUJ+XMwuvWbUdzDCTFUhpaOtl6O6PTGl9/09HTFMZzK281GjmDg05jxmmunnBQW9nYrb9hxGb3ebpo68uA+Kf7Cay+b7FbOD1G7vxKuPRjCvvsqy/uwMcGXvutHb6dfZ0oBkehobt/ehs7URj69bjp/8ye/hn7/RU9D/1vtdduNFIpnGoROjrvVDmSfnovasKstLZ+3EzoSO3rUB87FYzc6zbfOnG7rw2HUX4fF1y9HZ2ji7GEevXd/dqV5K9bu/0J4kttK+bPL9VHabzMbd7P5+rPZ0tYl8bSg2rex6V6OrvQm/fGcQj+w8iOFkcAbAw4QXebQSh4c/zE2t5M5q7zUb48zGSqMFIp0tDQCM8watvPycuVF0t8dQXqp/FqbWeJfR+Fq2bvX0ZjZ3FhWPnMRNxsRgoeZH9PI6vWco2ifNb6hGS2O04O925q4A++PWXti0Xc2ZGcM3i+xVlKzg6c7ur3zlK/je976Hv/mbv8n5+w9+8ANcd911XjbFc0SvuDArtvz36JVpOnEqpbkKRynhlM3KjhhOnEqptsFsMLZbls5IhBNpYydmxhGYfW5+rIARVbZC7Tp2OqFG9+Cd+Bhu/NHrs20M4s4UERhp95tfOF/389n3Xs0+3SzNDZy2ly2rl+K2p/fOropzMmhh9ju1bH1BU1TXb504lcLyBY2q1xW18jDbj9VEynFyVN0vKqj5A6s+xGin27yGakQjZXjg6qUYS08hmZ5GfXUFmudUWn7+YVrhRwiRC9H5sRpavr7v6DC625tUV3ir5b3j6WmhbdXy40Y5bn11hW7sWtRci+dvWVXQxkMnRgvyj+zyq785MYqG6gpEykoxrFH20XjH9kffJ7q0mhW0vr+7vQnrVizE1d/dM7ub2Go+ahQTRyb0F3CbiZlhKiNnNBC9+QuL8bXuNtXf4/Q+mOlnKv7Bai6b71f0+tjZOaUXO/Hs6M/OAJferptslMHFZHp6dmfc019fgY+fVWf4W7KxEy+8qJDAPLmQ/GfVGI2g/+QoAPNaMXttK7FYy84V21xxbtPseIWZdp2udnLattTKmQ+OpjE4lkaToDGubD+V3yarutfThmLTyq73UpTkLKTP3vWeTE8bVpwh7uF2Hq3E4fUfHl9ppux//v8rWIlxZmOllQUi+XmDWo6wqLm24BrzGqoxmtK3cbvjXdm6dVoBBRATj5zGTcbE4JHvRyZnMrrv13uGdn2SVs5+Zl0lejpipo8f6WmPFfgeBbvj1n4fj6WF6GOeZK6iZBVPJ7sB4PHHH8e//Mu/4Pd+7/cAAP/+7/+Oo0eP4o//+I9xyy23zL4vf0I8DNgpw6eFGbGpuSe9AHrZx87Aqo+dUZAg93TEcNNl7eh94pWc9yu7RPLFYDYYOwmieiLsam9ChcDJNzPPza8VMKKSW7UOqVUnl30P1Dp7sdrI7HmXfpf78BM97UYjZaiuKNMcfFe7916V5s7mnLlRPLRmGY4MJjE8Pokz5lSip71JtbSpqKCoZ+sPrlmmWh7z5ss7sHBuVNPGRAzGq/mxH331UwXvy9bE5MzpHWXZyYgbPkRUzAnTCj9CiHyIzI+1rq/m698+PoIHVi/FHc/uz/l7fulShTlVFa63FTDuaDbPqdSNXWfWVeFMlTmk/PxD6zw25fev/btfYfmCxpy8XK9t3e1NWND0Ucz1YiGDHtnfnxifxMTkNF56ZzBnp56dfNQoJtZV6XevzcTMkYlJ3XNggzRQaNRnnZic1rz3TgaXzPYzFf/wwm9OWpqAy/crSh+7BMjJ4fNzSq8WgljVn1K5SW1xQY9OLj+/oRpjBpMAaoOL9QaVmbSw4oPVKgNEI2VY1tKAd+NjeD8xjvpoxPHgIPNkdfKf1cTUab+rNR5lpfqU3VhsFF/VFlHraVPxUVrxtKe9Ceu62rDl5wdwz1VLHI9xKQP4Wm2yWqZcq2rGnV9cjA2Xt6OzpQFTMxnc9aXFGE5O4uRoCpGy3HO7AeOKM8Rd3MxNFRtXJpfMlP3vaY/hxsvaccOThePHTjbkqF3HygIR4KO8wepYdPOcStcmgbJ1O5aaxANXL0V6egZjqSnLubPTeGS2BLneJBtjYjDJ9iOHTozqvtfoGVr1SUZ6fCjPF2zdfRhb11+M0pKSnM/0dMRw95c+gS3/eED1e06cSumOW9dWlePQidECu/bzeCytPqobizn9XqwuEk8nu/fv34+LLjp9ZvShQ4cAAGeccQbOOOMM7N+/f/Z9JSX6JUKI/QCilGnq7W7D5i8sxsTkdEEAVUuQAeBnG7pVk2a7q3acnOOhJUIlyfq/b5+wNGHoFD9XwIhKbvOvY9XJKffg1SNDmp297LP5grYzRRR62u3tbsN9P3sD67vakEFuB6K7vQkPrF4qzcKLsxujqK0sn03K77t6Ke7csd/VoKhl6/MbqvHo2k6cOJVCYvz0AHFNpBwN0Qph1RvU0PJjv3xnMMf/aA2AZCcjMq+ik7lthBBiBj1fbzQhCnjr68x0NOuj1vPv/PxA6zw25d+93W14dGd/Tl6u1baejhi2rF6Ks/NKzXmxOEAP5fsPnRjFNd97SfU9VvNRo5jYWOM8ZtZXV2guRHh4bSfqbE4U+oGTvNTuZ632M+c3VOPzS87Cp89twuYd+wsGjrRy2Xy/Ulddgb/+wwsxOjGlq0uvFoJY1d9Nl7VjJpMpmMC46bJ23c/pTQI43d3nhPzKAGbycTswTzbHWXVVs/dJGY/q7WpDamoGDdUVWNRcizPrqlxtg1F8nWdRm4qP0oqnu/oHMQOgs7XR0RjXyo4Y7r1qCUbG01h94dm6bTKje72qGa8eGUJFaSn6BoZUF8LdnJcfAfYXrxD5UWz8o0nuwzn6LSkB5tVXY2o6g2OJcTyythP7fpvAy+8O4od/vBxVFWWorxazIUdNj2YXiCjMqaqwNRbt9iSQqHzZaTwyqqgzOJbGWHpad5KNMTH4ePkMzehRyxc8mteHr60qx//7/V/iwTXLMD41XZDPXrywEYvn1wH/9HZOtZKVHTHcf/US3P7MPvzbgRM5f39wzTJX74edKlZO59P08Huxuig8nez+xS9+4eXXhRqzYlN7TzI9jb1HhzVLxmkFWicJdT4iyvPNb6jGfVctQf/JUaSmZlBZ/tEqUwCnV9fnrfRxa0WKqORHdBkKJ1h1ctk7I/Q6e8rgKVCcJWz0tLvi3CY8urMfL73zQc4AgGLb6Wn98vxG1xedmORr38+g6KSDYPezg2NpXNDSgPUrFubsuvpfLw/gwTXLUPJhyTetAZD8ZETWVXQyt40QQsyil98qfz82PI7/8cKhgolup77Oan5nJgezGrvy84POloacgexs9vQPorerDUBhXh7ETrDI8nNGMfHMuirHMbOmslxzIUIJgL/+wwtNt9dvnOSldj9rp5+p6OlRi7atpkO1ygpmPucn8dE0ep94RbX/0fvEK/jZhm7DPqDZ6nDf+rA6nNruGZHk695sPm4V5snmyL9PSvzJ9p35uDE2YhTDrGgz+9x6o3j66M5+02Nc2u2rsfRbtdCLib3dbbjj2X2GC+EUej6sOEPCSXYczl+kUl1RhvkNVfj8w7s1d/c/f8sq1dLgZjHSo9EmqOwqTUreoDWGs3X3Yd2x6CDkv07jkVG+PD2TMTXJxpgYbLx8hmZzdqN5qmPD43jhNyfx8bPmFPiqyvJS/G5kAv+47zi+/8I72HzlYtz5xcWz1RNqq8oLJrqV71fs2q37oVZ5LbuyV3pqGolkrk9y+7gr2foodvC8jDkRg1nnI2uQETXo9EEyjRuefFX1tY3b+7Djpi6UlpR4kow4TX68OFPMKlad3PyGaixf0Kh5ZnT24ClQnCVs9LSrlFnKPtMum98/r9nR9d3WfRiCohUygOqqd+X+/90fL8f6roU4Y06l5gBIdjIicwdK5rYRQogo3PB1dvM70TE1Pz/IPsdQjezX8/PyoMV70VVvjOzEqR2NTkypltMGTpfIHp2YMjWhKgNO8lK7n3XSzwyabYtiZGJSs/8BGPfNtWweKKwON5aexobtfa73efN1rzch6XRwkHmyOazcJzfHRkTpXPFRZs+tNzvG5bYf0ouJZhfCAXKMKxJ3MVqk8v7IhG4Zey82t+T7lepIGV4fyC21n22r8bG06hiOUoUy6DmCk3hklC9Pz2RMTbIxJgYfr56hqLmh/CpNapVJ7v/HA1i+oBGXfuwMzMvKIw6dGC2Y6FZQ7HpRc60r9yP/OFgzFYjcPkM8DHCyO8CYcT6yBhlRg05610mmp1FaUuJoJaFV7CY/bpah8JpRg3PblM5eMZew0dJlfDSt+zmzupBV92EikUzj7h37VVe9lwLYuv5iJFPTKCkpwXDSfDIicwdK5rYRQogoRPo62fK77PwgNaV/xmb2OYdeLk50YyefG1VvzOw2stvusA1iOMlL7XyW50VaR8Q9M9p1A+j7xFuf2ovNVy5GWWmJK7o3WuDjVFfMk81h5j7JFjv1sHJuvWjfYzde6sVEI+qrK/DsjSs4vlBE6MVho/PavYq3+X7lrLoqXLJwbkF79cZwgNOVC4KQIxhp3248MsqXk2l9XxeUcS1iDi+eocicXWlvdpWmmspyRMpKMZRM4+mvr0BpaQnGJ3N3S5vtd7lxP7I1Z7YCEfs5xnCyO+CYEZuMQcbJoFN2YK+tLMeWa5bivufeLEi0nEymel1O3KgMxfsjE9I9Qy2MHG9leSlXAUNbl6IGY80OJMhSNt9rnP72+GgauzR2Xe3qH8T6U6nZqhM/+uqndK/FZIQQQuTGbsxwu8yYHZT8IJFMmzrn0MvFiW7t5POi6o3InCqMgxhO+qNWPyvLeZFu59kir+/VPdPzibsOxnH0gyRuePJVV3SfvYBHjSDqSnbCFDv1MHNuvWjf4yReKtq4a8d+fHxe3Wy51MZoBc6qq0I0UqY5idkYjXi6mYTIgVYc1osdPR0xTGcyOHRy1PNxJq326o3h7OkfxE2XtufoVMbxMrerXujly7IsbiDhwa0FyQojE5OoiZTjwPuncuaNsjXjZ7+rPhrBlmuW4shgEqUlJbiotRGdrY3Yuvtwjt6ycx9Z+jkyw8luCfE7oHrx/XYHndQCe09HDFvXX4zeJ15RLVNjFT/KiRutJHpvaBxn1VV5nlhp2YKejRglvO1n1Eq1GlsmvBiMVdCy83uvWoLEeBq1VeraF+Ef/PZxdjWe3e6pmYzud2TvHvnlO4Pobm/CbpWOFZMRQgixh1exxEleKPMOXa2co6e9CZu/+An8n/3H8dnzm3HvVUtci9H5C1hfPTKE144M5bznxYNx3LVjP+5fvRSjE1O2n7ebVW9E9x04iOFM35q2/WGe6wVu9ydFX99OH8TOMzLyiUr+nL2LBYBtW8jW/Uwmg56OmOokarHoygyiYmsYY6fWvdHSj1I69ScvDzjqy+d/75zKcuzpj2P9ioVYe0lrzpnDZne+z2+oxl1f/AQ2Pb23oFxq/tha9mvUiVz4Ma6S/Z311RV4YPVSfPOZfTm2393ehHUrFuLq7+5BMj3t+/GMCka+pbKidPb+iY6zTp6V8tnEeBqpqRlc0NKA144MzWpUZNULvXxZb6Es/QMxg5oOHlqzDHeqLL5qnRsVln9kH1WQTE/naEZEv8uuvt/7IIlNT+/NWYST31aF7B3msh5ZLAuc7JYMv89t9vL7rQ46aZWz2nUwjhIA/2djD4aSaUeDV36VzDJaSQTA8xXMarbw2fObsfnKxbj92f2aNmLkeOf5nODKjhclyPXs/PZn96GztRGP7uwv0L4I/+C3j7Or8fx2P75uue73ZO8e2br7MB5e24mSkpKC381khBBCrONVLHGaF8q+Q1fJOd4fmcB7Q+MAgL6jw7j6u3vwyQWN2LJ6qWt5m5mBCOD0+WX/7yWt+Iv//R85AwF2nrcb1a7c6DsU+yCGCH1r2fbnH96F5QsaXc073e5PunV9L85TNlMBTOHVI0MYSk5i8w7tfqcZsnX/UBHrygyiYmsYY6fRvcnWT2J8EtFIGcpKS1BWWoLvXHuBbfvK/95opAxb11+Mn/7HbzUHx82MGyWSaWx6Zl/BLtcXD8aRAbD5ysXY9PS+nN9KnciFH+MqWmOEW65ZionJGSTGJzExOY2X3hnMyeVkOYLAyLc0VJ9um+g46+RZmc2XRVa90MqXiz0/Jc7Q08HdX/wEblNZfCUq/8g+qkD5juzzuJ3YtV19/3YoiVuf3qt7rEL2/cjOfXh0qT6c7JYIv88m8uP7rQw6GZWzmprJ4MLWRkft8atkVm1VueZKc6X0VVONt7v71Wzh4/PqsOmZfYZnSNDxOsPtowf07HxP/yB6u9oAFO6qcOof/PZxgD2Nq7W77+gwutqbCrQA5JZ/BYBkehobt/dhx01dKC0psawJv3fCE0KITHgZS5zmhUHZoXv/Px5QXUz6zWf2WbqfZuOVlYEIs+eX+YVbfYdizaVF61vNtt22Hbf7k25e3+wxSHafkZ5PzM+f/79V5+KXh5ztXs2nWHVlBpHaC1vsNHtvzOrHbL9O7Xt7u9vwyM6DuoPjZna+Gx0pcOeVi/H8LauoE0nxY1xF6zv/9cAJpKZmZseMrvneS6qfl+EIArO+RWScdfKsrOTLgDdVLxhHiR561WH1dHDF0nmqi69E5h/ZY90Kimbs2rVdfSeSaRwZTKqOJ6u1VS33cXveIMhwslsi/D6byO/vN8KLclZ+lMw6NjyOO3fsx7oVCzGTyeQ4O6X01cbtfVh94dnCv1sLLVvobGnISaayybcROl55MVtCEPjouQJw7B9k8DF2NK7WbmW3NgBNzWaTTE+jtKTE8hlnfu+EJ4QQ2fAyljjNC4OwA0LU/bQSr6wMRFjJPf3Azb5DMebSIvXtV97pdn/S7xLPTu6rUblnJX+ORspwxSfm4Z7n3ijIs63sXtVqQ7Hpygwi9RK22OlHnNT6Xr2YqMRPMzvfjZ7RWGrK8UYS4h5+xDcz3+l3fDLCrG8R+TuM7tv7IxOaz8rqxJ1XVS8YR4kaejFuPD2tq4N1KxZqviYy/8ge6wZyNWPHru364vhoGsPj5toq07hBUOBkt0T4nRj4/f1GeFHOyuuSWdmrgF46NIje7jb0drUhNTWD+uoKTExO4+btfVi+oNHTFcxatpAfGPLx20aIOayUEAROP1f9E6rNPXsZfIwdjau1W9mt3dvdhts/fz7SUzOo+fC80fyzVQB7uxBk2AlPCCGy4WUsEZEXyr4DQsT9tBqvrAxEyJ57ylhuN8iI1LdfeafbNuG3zTm9r/nlntVK3vZ2t+G+vIluwPruVWIekXoJW+z0I05qfa9RTARgqs/ptx8hzvAjvpn5ziDYlRnfIvJ3GN2394bGcVZdlapvs5Ivy1QxihQfRjHuG7/foft5vdgmMv/IHusWoRm7vnhkYrJg3D2fhU1RPH/LKqnGDYKC/p0NOH/1V3+FFStWIBqNoqGhwe/mGOJ3YuD39xuhlJxRQ1Rg9+I7ssleBZRMT+PRnf244clXceOPXsd1P/wVAGD5gkbPV/Fo2YKRM/bbRog59Ow8v4QgcPq5ivAPMvgYOxrXarei2cryMlzY2oiOM+dg1cfOwPIFuavg7a7EM7NKkBBCig0vY4movLA+GsGi5lpc2NqIRc21UnVYRdxPq/HKykBEQ7X/uYMeXvcdwo5IffuVd7ptE37bnIj7qvjEixY0YmGsBnuPDucsFF1xblNBOUuFPf2D6Gxp8F37YUOkXsIWO/2Ik1rfazQec05jtan75LcfIc7wI76Z+c6g2JWRbxH5O4zuGwDNcR2z+TJ3fhK/MYpx0Yj+Xlu92CYq/8ge6xalGbu+uK6qYvZoTDV6OmI4u6FaunGDoBDqye50Oo1rr70WX//61/1uiin8Tgz8/n4jlJIz+W0UGdi9+I5sjFYB1VdX4JG1nZjncbliLVvoOzqMbg1nLIONEHNo2blSQnDr7sOzf1Oeqwj/IIOPsaNxK+1WVgo/f8sqPHvjCjx/yyrbGpZhJzwhhMiGl7HE67zQD0TcT6vxyug728+onY2hi5prfc8d9CgGG/ESkfr2K+902yb8tjnR91Utd66qMB6m8lv7YUPkc/XbRkXjR5zU+l69wfGVHTGcVVdl2BYgfM+o2PAjvpn5zrDYlcjfEauNoMdg8k1rXEfvnvd0xNA6N+povIkQURjFuLLSEl3/ceJUSvM1UfnHX129FH9wfrNQzdj1xbHaCN4+PoLru9oKYnp3exO2rF4aGH8pI6EuY37PPfcAAJ544gl/G2ISv88m8vv7zeBFOSsvS2YZrQJq9OksFC1bePv4CB5YvRR3PLtfWhsh5si38+pIGV4fGM4pIZj/XJ36B1l8jFWNW223qDOMZNgJTwghsuF1LJGplKobiLifVuOV0XfOa6jGAtTM/l2G3EGPsNuIl4jUt595p9s24afNuXFf83PnQydGdd9vdvcqMY/o5xomv+hHnNT63q27D2Pr+otRWlJScC6q1ecUpmdUbPgR38x+Z1jsStTvqI9GcN9VS3D7s/tyjuZQNpps3N6H1ReerflZo3yZEBkwinFlpSW6tqz8v/v5R43h561g1xfXRyO456oluGvHfnS2Ns4eZ9tQXYEFTVGc3RgV2s5iI9ST3XZIpVJIpT5aUTIyMuLp9/udGPj9/WYQNZHk9nckkmnER9MYmZhEXXUFYjWF11RWAb2oUu7D790qerYgo434rd0gkm/nZ9VV4ZKFczWfqwj/IIuPsapxP9otwj+Y8UN+Q+0SEjz81q1XPjnfh7bFaqTzoSJwej/txCsr3ylL7qCHF/0TEfitXTOIfN5+Twq7+T1+2pzb99XIp2TvXg1CrisCL7Rr9bka3fug+EUz+BEn9b73UUH6C9MzkhW3tOtHfDP7nUG1KzWftqi51vF1G6MVuHLZ/NkJrcryUvQdPb3RZPmCRt1xnSDkwGHE63w56LmMUYxrqjGeSxBp5176ILsand9Qje9cewG17QKc7M5jy5YtszvC/cLvxMDv7w8Dx4bHcetTewtW2z64ZhnmZ62+k2WnqxZatpD9t5GJSaCk8O9eI4N2g44Z7YvwD0H1MV6326l/eO+DJDY9vTfnzEM1P+Q31C4hwUMG3brtk83mcmHByf10sqrd7He69byDPrhkFRm0awaRzzuoeafsuHlfzfoUt/20TP7BK+2afa7FFiMBf+Kk3vfaXYRAvMVN7foR38IaU930afXRCFZ97Azb4zpe33P6EG/z5TDEU7MxTs+WZZxnMItdjYbVn/pNSSaTyfjdCCvcfffdhg7nlVdewfLly2f//cQTT+Ab3/gGhoeHDa+vtnqnpaUFiUQCdXV1tttNiodEMo0N2/tyApXCyo4YHlnbWeDMlGQiKKt5ZAzG1C4JK3b8w2+HkvjLp/bmlMpS0PJDfkHtqvP666/jk5/8JD57+zbMbf247eu8+6t/xq+23oPub3wXZ5/f6ahNoq4lY5s+GHgb//pX1+O1117DRRdd5KhNxUDYdWsnlyPMZ4NA2LVLwoWeT3HbT8vmH2TSLmOkfdyOk7LZLZFLu0Qdr3xaEPJk+pDTeKXbsMVTJzZO2yOiCNzO7g0bNuDLX/6y7nsWLlxo+/qVlZWorKy0/XlC4qNp1UAFAC8ejCM+mg50mZ9EMl0QgIDTv+22p/YWBGOvVgVSu8GAq0StY9U/JJJpHBlMqk50A9p+yC+oXUKCR9h1ayeXI/rxSrb4bzWfDQth1y7xH5Fa1/MpbvppGf2DTNpljLRPtk0rWnknPiYkLspot0Qu7RJ17Pg0O7FO9nFf+pCP8Eq3YYundm08TLYnW5+3GAncZHcsFkMsFvO7GZ5DsYjFzfs5MjGp+/opg9dlx0ow5sqsYOG2n9Gyh3uvWoLEeBq1VfRtIoiPpjE8Hm4/RAghbhL2XM5rjg2P49Z/2Itd/fLkg6IHl9hXcw/e24+Q/V542fdz00+HbfBZNIyR9kkk0xgcSyMD4O4d+4UeN6XYbTRSht7uNnS2NCA1NYOqijK8PjCEwbHitlviHrLHJiPM+jQ39SsDjH3ew3h6GqcLTmoryxEpK8Wwz+PKnAORg8BNdlthYGAAH3zwAQYGBjA9PY3/+I//AAC0t7ejtrbWkzaICPoUi1jcvp91VRW6r88xeN0IvxNJK4lgWFZmicDv52aEF2feadnD7c/uQ2drIx7d2U/fZpNs+6osL8U5jdWIRsqQTE+rvt+pHyKEkDDjdi4XJozym0QyXTDRDZyO/7c+tReP+pAPJpJppKam8dh1F81OAmzdfTgnZloZXGJfzb08l/f2I2S/F173/fT8dDRShsZoBIdOjNqySQ4+68MYWYgZH6ho+IKWBvQNDBVU4bKqlfzvnM5kEKs9fW7qtj2H8ejO/tn3drU3YXXn2WJ+LAkdTmK47LHJDEY+ra66Qrh+vcLKs2Xs856wxVO7vkTEgpOu9iZc39WGtX/3Kyxf0Oi5D+IciDyEerL7zjvvxJNPPjn7787O02c5/uIXv8Cll17q+veLCPoUi1i8uJ+x2ghWdsTwosaZG7HaYJ8dZjYYc1XgR8jw3PTwQhd69rCnfxC9XW3Cv7NYULOvnvYmPL5uOW548tWCCe8eh36IEELCjpu5XJgwk9+cOJUqmOhW2HUwjhOnUp7Ge7U2d7U34eG1ndi4vW82ZpodXGJfzb08l/f2I4JwL7zu+2n56WikDFvXX4w7nt1vu5pE2AafRcMYmYsZH5it4fUrFuZMRGdjViuq/b+OGLauvxgP/dNbBRNxe/oHcfdP3/BlgRmRGycxPAixyQxGPq2mshx/8fe/FqZfr7D6bBn7vCdM8dSJLxGx4ET5d293Gx7d2e+5D+IciDyU+t0AN3niiSeQyWQK/vNiotso6CeSaVPXMSOWoJNIpnHoxCj6BoZw6OSo7r2x8l41vLif9dHTq2lXduSW21/ZEcNDa5a5dnaY1XthFyUYq5EdjLkq8DRmnptTu3aKE12YbbuRPaSmZkx/J/kILfva1T+Ix35xCHd84fycv3e3N2HL6qVMsgghRAe3cjk/EZ1rmM1LjY7VSBi8LhKtNu/pH8S2PYfR23164Z2VwaXh5CTWr1iIx667CFvXX4wNl7cjGikDUBz5jJv9E7f6bXa0EORc3Su87vtp+enNVy7Gd3f2q1aTMGuTZvu7xUpQY6QbOjbrA7M1nN3vVcNIK8p3vnZkCBsub8fj65bjsesuwvVdbSgvLUHfwLDq53ZJ4iuIPDiJ4YlkGscTE1h7SWtB/qNcwwt7E6FrI582OjElTL9eYefZMvZ5T1DjaT5O+wNGtldTWT57/c6WhoKJboU9/YPobGmY/W6jseyDvzuFV979AG8eS+DI4JijvIBzIPIQ6p3dfiJqRUfYxWJl5Y+IXQNe3c/5DdV4ZG0n4qNpnJqYxJyqCsRqnZXzk2WVkBKMb3tqb87qs/xgzFWBp9F7bq8eGcJQchKbd+z3dde3XV1Y0aSRPVSW5669Crpv8wo9+9rVH8ef/X4HHl+3HKmpGTRUV2BBUxRnN0Y9biUhhAQPN3I5v3Bj563ZvLQma+BTjajB6yIxU2XGyuDSseFx3PHsvoISetm7xMOez7jZP3Gj32ZHCzJUaArCmIAffT81Pz2TyWDT0/tU32/WJs32d4uZoMVIt3Rs1gdmazi/35uPkVbio2m8dmQID6/tLChX3qNSqSQbGXwFkQe7MdxslRy37U2krvV8Wt/A0Oz7nOrXK+w8W8Y+fwhaPFXDaX/AyPasLDjJfl13LDvvmK2u9ibcfHkHFsyNYp6NvIBzIPLAyW6XENUhlUksos9is1LyRlR5HC/vZ31UbHCSaZDDTDAOUzkWJ+g9t97uNmzOGyQFvC/7ZEcXVjWpZw9d7U3oOzo8+2+n5+wVE0Z+AQCaaiKBTJgJIcRvROdyfqAVr189MoQXfnMSyxc0YjQ15dqZtjWRcnS1N6muwO9qb0JNxLvuqFGb66srLJ2VeutTewtyuPwSemEf2HCzfyK632anP2nmMwBcOa88G5nGBLTwq++X76ezJyXUMGuTYRh8dpugxMh8HUcjZejtbkNnSwMOHB/BWGoKzXMqbf0Wsz4wW8N9R4c146IZrYxMTKK3uw3b9hwuuMau/kHM4KMYlI8MvoLIg50Yrlclp7K8dDYupqZmUBUpQyLpzqYcN0qoa/k0kfr1Crv5GWOfPwQlnmaTPUdUWV6KDZe3Y+vuw7YXWolacJL9uuZYdt5EN/BRH+7KZfPx+SVnWX4enAORB052u4SoDqksYvFzR4jV9+ohy/20g2yDHEbBmKsCT6P33DpbGqQ478eOLqxqUsseutqbcH1XGzZu7wMg5py9YsLILzRGI1jUXOvoO0QvdCKEEOIdavE6Gimb3RGWvQPSjTNtG6IVuPnyDgDIGRhUVs83RL3LX83ETLPxzewucZn7FiJws38iut9mpz8pS4WmIPRhZen7ibRJu4PPzJ39J/sZVEfKcia61XZE29WtWXvL1vDW3Yfx8IcTgtlx0axW6qoqdMcRlBiUjyy+gsiDHX+pFRejkTL80acW4Ik9h3MWAro1juNl5Uun+vUjJjiJhUGceCXeYra6g4LZ3MvughNlEdunz23C9EwGW9dfjN+NTGiPZffr9+Hs+A9Z8mDCyW7XENUhlUEsbqyYA6ytNBO1a0CG+2mXIAxy5FMC4Iql87BuxUKkpmZQWV6KE6dSfjfLU/SemxFe7da3ows7msxfqVcdKcPrA8M5yZDROXte7XYPCm77BRlKdxJCCLGPWrzW2hFmJdaajT/10QgWzI3iymXz0dvVlpMPLpwb9TSmi4yZZiqryN63EIGbeYjofpud3FWWCk1B6cPKsCPM7z4zc2f/yX8Gj1130exrIuJfNlZiYbaGN27vQ293G266tB2VFaVoqI6Y1kqsNoJ3B8dMt1Fpi0y+gsiBHX+pFRdFa8sILytfOtGvXzHB71hIwotedQegsLKICHvTW3CitYitpyOGVR87A/V5pzga+Y7U1Ixt/yFDHkw42e0aIjukfovFrRVzVlaaiVyh7ff9tEtQBjkUEsk0/lIlAAKn21wsk5Z6z+2cRv3k1svd+lZ1YVeT+Sv1zqqrwiUL5wo9Z6+YcNMvuLXQiRBCiHfUVhZ290RUlrESf+Y1VOPzS87KyTGWL2j0PIaIjJlGeVCrzfPegobb/ROR/TY7uatMFZqC0of1e0eYn31m5s7+o/YMskuaitatFXsTpeH6aMRwHKF1bhTP37JKal9B/MeOv9SKi17HRK8rX9rRr58xIWjjxyQ4mKlupSDK3vQWnDTVRnD/c28WHuuhoTMj31FZXurIf/idBxNOdruKyA6pn2Jxa8WclZVmolelBdX5BGWQA/C2rJDsaD03AFKttrSiC5HVK9w4Z89tZCpP6JZfoIYJIcQb3IwpkbLSglJvqakZ3c+4caatLLm3qJhplAc1z6kU1WTpcbt/Isp27OSuslVo0rsXMuWmfuNXn5m5s3ncsle1Z5Bd8lRU/MvGj1h4Vl2VYQyirREzWPWXWnHRjLZE6t6PnctW9et3TAjS+DHxFidaNJojqq+uwLM3rhBub1r2fLos+aDqZ9R0puc7utqbcOJUCssXNAppM/EHTna7jCwDO05wa8VcMj2NGy9rx3QmkzMA16Oy8oer0j4iKDblZVmhIKD13IJq125pUraz6dWQsTyhG36BGiaEEPdxO6YMj6dx/Ycr7JV8O3uXmxpenGnrJyLazL5JLkGwAzvPLCgVmmTMTf3GD5tk7mwON+1V7RlklzwVGf+y8dreGIOISKzYr5btNVTra6c6UoYN2/uE6T4IGpAhJgQhPyPe4jQGG43ZNkYjWNRc67idaqjZ8ztx/WM98nWm+A61M8dvvrzD82O2iHg42U0McWPFnFLi+rUjQ+jtbis4wy8aKSv4jF+r0rhK3h5BmLSUgSCvtnSj7bKfLRS08oRO/Bc1TAgJKkHJ3byIKbWVFVj7d7/KybfPmFOJnvYm1VXwMsTaoBDkHK5YsfPMZK/QFLTc1C5B8Osy5s6y3Te37VXtGSTT07MlT8+N1aCnI6Z51FqQ4h9jEPELNdurrSrXjYmvDwwL171dDXjlF2WMCaS4ERGD9cZsezpiKC8rQSLpXSUbOzqb31CNR9d24sSpFBLjk4hGylATKUdDtIIxNARwspsY4saKuexyLmrnulyycK4UJRC5St4+sk9aykSQV1uKbrvsK3T9LkVlBaf+ixomhASRIOVuXsSUWG0Eyxc05uTb0UgZHl7biQyA3VkT3rLE2iAR5ByuWLHzzGSu0BSk3NQuQfHrsuXOMt43t+1V6xkk09PYe3QYX+tuw0MS6FYUjEHEL9RsTysm3nvVEnz+4V2q13Gqe6sa8NIvyhYTCBERg7XGbLvam7BuxUJc8d93YfmCRs9yDbs6Y/wML5zsJqYQvWrUr3IuVlbwFcsqebeQfdKSyIsfq9TN+gYZSlGZQYT/ooZJMXLgwAEh14nFYmhtbRVyLWKeoOVuXsQUNV+eTE/jJy8P4KE1yzAxORPoHWGy7VokxYUMOyvt+pGgaCdIfl2m3FnW++Z23DPzDOqj8F232QRFi4QYoRUT3x0cQzI9rfk5r8ZQzPhFAML0KFNMIAQwH4ON4pKi9ROnUhj4IAkA6Ds6jI3b+5BMT3uaa1BnJB9OdhPTiFz1olZmIhopQ293GzpbGjA5k8Ghk6NCE32rK/iKYZW828gwAESCiZer7Kz4Bj9LUVkZCBHlv6hhUiyMJwYBlOArX/mKkOtVV0fx1lsHOOHtMW7kbm4OQnsVU8Lqy2XctUiKD793htjxI0bakWnyLWh9cln8rdX7Fqayvmaegd+6VWAcI2FDTVu1o2nN90cjZWiMRnDoxKjr/kfPL756ZAhDyUls3rFfqB5liQmEAObmYn7z/im8NjCE+557c3aRipoO6qMRxEfTuOHJV1W/y8scjToj2XCym/hCfpkJpZzitj2Hc8osikr07axsDsoOTtmRpSNJiBpWfYNfpaisDoSI9F/UMCkGJpOnAGRw4R/dijPaznN0rZHj7+JXW+9BPB7nZLfHiM7d3B6E9jKmhM2Xy7prkRCvsepH9LRz1479uOuLn8CmZ/ZJM/kWxD65DP7Wyn0LY1lfGZ6BEYxjpFjQ0n00Uoat6y/GHc/ux65+9/2Pnl/s7W7D5mf3YVfW8T6AGD0GwR+R4sDsXExXexMeXttpuFNbphyNOiMKpX43gBQnSpmJlR0xAKcTi217DmOPRmKRSGqvBDSDmZXN+fi5g5MQ4g1WfUO+71Jws0SO0UCImn+k/yLEHrXNrZjb+nFH/9XNW+j3zyhaRPo+O77XKn7ElLBgJ7cnJIxY9SN62vn4vDpsetpdv2cV5rT2MHvfvIh12TDufQTjGCkWtHS/+crF+O7O/pyJbsA9/6PnFztbGgomurPbQz2SMGB2LmZP/yC27TmM3u622b+p6YA5GpER7uwmvpFdZiI1NZ2ziigbEaUv7Kw28msHJyHEO+z4Bq9L5Ngp30j/RQgpRkT6Pq9K57Lsmj1k2klAiN9Y8SN62ulsaXC1T24H5rT2MHvf/CgTz7h3GsYxUkyo6X4mk8Gmp/epvt8N/6PnF42gHklYMDsXs6d/EL1dbTl/y9cBczQiI9zZTXylPhrBouZapKZmdN/nNLGws9qIq44JCT92VyIqvuvC1kYsaq511R/YGQih/yKEFCMifZ+Xg9BexpSwwJ0EhORi1o/oacftPrkdmNPaw+x982vClXGPcYwUH/m6H01N6b5ftP/R84vnNOqXTKceSZgwOxeT/3q+DpijERnhzm4iBW4n+nZXG3HVMSHhJggrEe36R/ovQkgxIsr3cRBaboIQvwmRET3tNFTL6feY09rDzH1jrPMPxjFS7Pjhf7T8IgDqkRQdRhqsLP9oj6yWDpijEdngzm4iBUqin080UoYt1yzFTCaDvoEhHDo5auvcFierjbjqmJDwYtY3JJJpHDox6sgP2UXLPyrt1Ot40X8RQooREb7Pie8l5rEbX7mTgBB9tLSlp50FTVFp/R5zWnsY3TfGOnfRi3GMY6TY8cL/qGlQzS9Sj6QY0dNgV3sT+o4OAzDWgdMczc/xVhI+uLObSIGSWNz21N7ZlXTRSBm2rr8Y393Zn3OOy8qOGB5cswzzG/TLzOTD1UaEEDWMfMOx4XHc+tTenPPs7PohO6j5R6UN7HgRQog70Pe6j9P4ytyeEHWMtKWnHfq94oLP3D3MxDjGMVLMuO1/rOaZ1CMpNvQ0eO9VSzAynsbqC892VQd+j7eS8MHJbiIN+YlFYzSCO57dj139uWVkXjwYx21P7cUjazstO1tlxZ6bJJJpxEfTGJmYRF11BWI1TI4IkR0t35BIpgsSL8CZH7KDqI4X/RMhhJhHr9ThoROj9KUOEBVfvcjtCQkSZrWlpZ0gDvYzv3WG2jOvrSrHWGoKfQNDvKc2sBLjGMdIMeNWzLGTZzKWkGJEX4M1wr5HTV8ApBhvJeGCk91EKrIT/UMnRgsmuhVePBhHfDQtndPjiiRCwkV8NF2QeCl47YecDoTQPxFCiHXyfS99qRhkiq+EhAkR2grS5Bt9shiyn/mx4XH8xd//mvfUAYxxhJjHjZhjVYOMJaSYcTvv09LX7V84n7GSCIdndhNpGZmY1H19cCwt1VkORisHZWknIcQ8Rn7olMHrskD/RAghzgm7L/XyvLSwxFdCZKOYtBV2n+wHYb+nXsW5YtIhIV5gVbtWNBh2v0fCSxDOutbT13tD47qfZawkduDObiItdVUVuq+fmpjEH37/l9KstuPqXULCRzRSpvv6HAM/JQv0T4QQ4pww+1Kvd7QY5flBia+EyIaRtqoNctsgEWaf7BdhvqdexjnGOELEYUe7VjQYZr9HwktQqhHo6csIxkpiB+7sJtISq41gZUdM9bWu9ib0HR0GIM9qO67eJSRcJJJpvD4wjK72JtXXV3bEZs9ulR36J0IIcU5YfakfO1r08vwgxVdCZMOoD/36wLDv/WZRhNUn+0lY76nXcY4xjhAx2NWuFQ2G1e+R8BKkagR6+uo7OowexkoiGE52E2mpj0bw4JplBQlKV3sTru9qw9bdh2f/pqy28xOu3iUkXMRH07jvuTdxfVdbwYR3V3sT7r1qSWBW+NI/EUKIc8LqS83saBGNVp6/siOGh9YsC0x8JUQ26qMR3HvVEtXc9fquNtz33Ju+95tFEVaf7CdhvadexznGOELEYFe7VjQYVr9HwosffTe76Olr6+7DuO+qJYyVRCgsY06kZn5DNR5Z24n4aBqDY2mcmphE39FhbNzeh2R6Oue9fq+2U1YOvqgScLgiiZDgMTIxiWR6Ghu396G3uw29XW1ITc2gsrwUfUeHMTKeBlDjdzNNQf9ECCHOCasv9WtHS3aef2piEnOqKhCrjXBggxCHJMbT6GxtLMhdlT603/1mUYTVJ/tJWO+pH3GOMY4Q5zjRrlkNhtXvkfASpGoEevpavqARjdEKxkoiFE52E+mpj37o5E6M4g+//0vN94lcbZdIphEfTWNkYhJ11RWI1Rg7WmXl4G1P7c1x4lyRREgwUVYgJtPTeHRnf8Hrqy8827O22PFJ2dA/EUKIc0T5Uqc+XTR+7miZzfMJIcKoraxQzV0V/NqlJtr3Mb8Vj5N7Kltsy8avOMcYR4gzrGpXzQ8taq7VvQZjCQkadmOaH3HarL6oMyKK0E52v/vuu7jvvvuwc+dOvP/++5g/fz6+8pWv4Pbbb0ckQgEFEa9W2x0bHi84+2JlRwwPrlmG+Q3Vup/l6l1CwoMsK3yd+KRs6J8IIcQ5Tn2pKJ8uElniHSFEDDJq2i3fx/xWPHbuqYyxLRsZNUEIMcaKdjmWS4oFOzHNzzhNfREvCe1k91tvvYWZmRl8//vfR3t7O/bv34+vfe1rGBsbw3e+8x2/m0ds4MVqu0QyXeD8gdNnXtz21F48srbT1A5vOmxCgo8MK3xF+KRs6J/cZ2BgAPG4+vlJVjhw4ICA1hBC3MCuLxXt00UhQ7wjhIhDNk277fuY34rHyj2VNbZlI5smCCHmMKtdjuWSYsJqTJMhTlNfxCtCO9n9uc99Dp/73Odm/33uuefi7bffxve+9z1OdgcYt1cDxUfTBc5f4cWDccRH03TOhBQRfq9ApE8KFgMDAzjvvPMxPp4Uds3JVFrYtQgh/iKzT/c73hFCxCKTpmX2fcQ5QXm+MmmCEGIeM9oNih8iRBRWYhr1QYqJ0E52q5FIJDB37lzd96RSKaRSqdl/j4yMuN0sYhE3VwONTEzqvn7K4HXiH9QucQs/VyAWg08Kk3bj8TjGx5P4VO9dqJu30NG1ju/7Jfb/9AeYmpoS0zhCBBIm3XqJ7D6dK+7DD7VbXMiiadl9XxCQWbtBer6yaIIUDzJrN0gYaTdIfojIT1B0azamUR+kmCj1uwFecejQITzyyCP40z/9U933bdmyBfX19bP/tbS0eNRCIgN1VRW6r88xeJ34B7VLwkgx+KQwardu3kLMbf24o/9qYvP8/hmEaBJG3XpBMfh0IjfULvED+j7nyKxdPl9CtJFZu2GCfoiIJGy6pT5IMRG4ye67774bJSUluv+9+uqrOZ85duwYPve5z+Haa6/FV7/6Vd3rb9q0CYlEYva/o0ePuvlziGTEaiNY2RFTfW1lRwyxWq4ClhVql4SRYvBJ1C4hwYO6tUcx+HQiN9Qu8QP6PufIrF0+X0K0kVm7YYJ+iIgkbLqlPkgxEbgy5hs2bMCXv/xl3fcsXLhw9v+PHTuGyy67DJ/+9Kfxgx/8wPD6lZWVqKysdNpMElDqoxE8uGYZbntqL17MOs9iZUcMD61ZxpJXEkPtkjBSDD6J2iUkeFC39igGn07khtolfkDf5xyZtcvnS4g2Mms3TNAPEZGETbfUBykmAjfZHYvFEIupr0bJ57e//S0uu+wyfPKTn8S2bdtQWhq4jezEB+Y3VOORtZ2Ij6ZxamISc6oqEKvl2U6EEH+gTyKEkPBAn04IKUbo+8INny8hxG/ohwjRhvogxULgJrvNcuzYMVx66aVobW3Fd77zHZw8eXL2tbPOOsvHlpEgUB+lwyeEyAN9EiGEhAf6dEJIMULfF274fAkhfkM/RIg21AcpBkI72f0v//Iv6O/vR39/P84555yc1zKZjE+tIoQQQgghhBBCCCGEEEIIIYQQIoLQ1vVev349MpmM6n+EEEIIIYQQQgghhBBCCCGEEEKCTWgnuwkhhBBCCCGEEEIIIYQQQgghhIQXTnYTQgghhBBCCCGEEEIIIYQQQggJHJzsJoQQQgghhBBCCCGEEEIIIYQQEjg42U0IIYQQQgghhBBCCCGEEEIIISRwcLKbEEIIIYQQQgghhBBCCCGEEEJI4OBkNyGEEEIIIYQQQgghhBBCCCGEkMDByW5CCCGEEEIIIYQQQgghhBBCCCGBg5PdhBBCCCGEEEIIIYQQQgghhBBCAke53w0ghPhHIplGfDSNkYlJ1FVXIFYTQX004nezCDENbZgQQkgYYXwjhAQF+iuiB+2DEOIG9C2EOIMaImGEk92EFCnHhsdx61N7setgfPZvKztieHDNMsxvqPaxZYSYgzZMCCEkjDC+EUKCAv0V0YP2QQhxA/oWQpxBDZGwwjLmhBQhiWS6IKgBwIsH47jtqb1IJNM+tYwQc9CGCSGEhBHGN0JIUKC/InrQPgghbkDfQogzqCESZrizm4QWluPQJj6aLghqCi8ejCM+mua9IlJDGzYH/SAhhBgjk69kfCOEBAWn/kom3xtG/L6/jGeEEDfQ8i3RSBmWtTTgeGIC78THGFeI1PgZoxmfSZjhZDcJJSzHoc/IxKTu66cMXifEb2jDxtAPEkKIMbL5SsY3QkhQcOKvZPO9YUOG+8t4RghxAzXfEo2U4eG1ndi25zAe3dk/+3fGFSIjfsdoxmcSZljGnIQOluMwpq6qQvf1OQavE+I3tGF96AcJIcQYGX0l4xshJCjY9Vcy+t4wIcv9ZTwjhLiBmm/p7W7Dtj2Hsad/MOfvjCtENmSI0YzPJMxwspuEDjPlOIqdWG0EKztiqq+t7IghVstyJURuaMP60A8SQogxMvpKxjdCSFCw669k9L1hQpb7y3hGCHEDNd/S2dJQMNGtwLhCZEKGGM34TMIMy5iT0MFyHMbURyN4cM0y3PbUXryYVzbloTXLeDYHkR7asD7F4gcHBgYQj6t3FKwQi8XQ2toqoEWEkCAho69kfCOEBAW7/kpG3xsmZLm/jGeEEDdQ8y2pqRndzzCuEFmQIUYzPpMww8luEjpYjsMc8xuq8cjaTsRH0zg1MYk5VRWI1UYY1EhgoA1rUwx+cGBgAOeddz7Gx5OOr1VdHcVbbx3ghDchRYasvpLxjRASFOz4K1l9b1iQ6f4ynhFC3CDft1RVlOm+n3GFyIIsMZrxmYQVTnaT0KGU43hRpSwIy3HkUh9lICPBhjasTjH4wXg8jvHxJD7Vexfq5i20fZ2R4+/iV1vvQTwe52Q3IUWGzL6S8Y0QEhSs+iuZfW8YkO3+Mp4RQtwg27ckkmmp/B4hWsgUoxmfSRjhmd0kdCjlOPLPn2A5DkJIsVBMfrBu3kLMbf247f+cTJQTQoJNMflKQgiRBfped+H9JYQUG/R7JCjQVglxF+7sJqGE5TgIIcUO/SAhhBhDX0kIId5D3+suvL+EkGKDfo8EBdoqIe7ByW4BJJJpxEfTGJmYRF11BWI1dFAywHIcxAhql4Qd+kFCCDHGbV/JfIMEGdovcQvmqe7ixv2lPyDEfagz+zCukKBAWy0e6NO9hZPdDjk2PI5bn9qLXVlnLazsiOHBNcswv6Hax5YRQvSgdgkh2Rw4cECKa5DwIMoeUqkUKisrHV8nFovxXHofYL5BggztlxCiQH9AiPtQZ4QQEh7o072Hk90OSCTTBQYLAC8ejOO2p/bikbWdXKlBiIRQu4QQhfHEIIASfOUrXxF2zclUWti1SPAQblMlJUAm4/gy1dVRvPXWAU54ewjzDRJkaL+EEAX6A0LchzojhJDwQJ/uD5zsdkB8NF1gsAovHowjPpqm0RIiIdQuIURhMnkKQAYX/tGtOKPtPEfXOr7vl9j/0x9gampKTONIIHHDppxea+T4u/jV1nsQj8c52e0hzDdIkKH9EkIU6A8IcR/qjBBCwgN9uj9wstsBIxOTuq+fMnidEOIP1C4hJJ/a5lbMbf24o2uMHH9XTGNIKBBpUyKuRbyH+QYJMrRfQogC/QEh7kOdEUJIeKBP94dSvxsQZOqqKnRfn2PwOiHEH6hdQgghhLgN8w0SZGi/hBAF+gNC3Ic6I4SQ8ECf7g+hnuz+0pe+hNbWVlRVVWHevHn4z//5P+PYsWPCrh+rjWBlR0z1tZUdMcRqWYqAEBmhdgkhhBDiNsw3SJCh/RJCFOgPCHEf6owQQsIDfbo/hHqy+7LLLsP//t//G2+//TaeeuopHDp0CP/pP/0nYdevj0bw4JplBYa7siOGh9YsY919QiSF2iWEEEKI2zDfIEGG9ksIUaA/IMR9qDNCCAkP9On+EOozu//8z/989v8XLFiA2267DVdffTUmJydRUSGmVMD8hmo8srYT8dE0Tk1MYk5VBWK1ERosIZJD7RJCCCHEbZhvkCBD+yWEKNAfEOI+1BkhhIQH+nTvCfVkdzYffPABfvSjH2HFihW6E92pVAqpVGr23yMjI4bXro/SSAnxG2qXkGBiR7uEEH+hbq3BfIPIAvNlQoKJLHGX/oAQazDuEhI8ZIm5JBzQp3tLqMuYA8Ctt96KmpoaNDU1YWBgADt27NB9/5YtW1BfXz/7X0tLi0ctJYQ4gdolJJhQu4QED+qWkGBC7RISTKhdQoIJtUtI8KBuCQkugZvsvvvuu1FSUqL736uvvjr7/v/6X/8r+vr68C//8i8oKyvDH//xHyOTyWhef9OmTUgkErP/HT161IufRQhxCLVLSDChdgkJHtQtIcGE2iUkmFC7hAQTapeQ4EHdEhJcAlfGfMOGDfjyl7+s+56FCxfO/n8sFkMsFsPHPvYxnH/++WhpacG///u/49Of/rTqZysrK1FZWSmyyYQQD6B2CQkm1C4hwYO6JSSYULuEBBNql5BgQu0SEjyoW0KCS+Amu5XJazsoO7qzz10w+xmez0CIv8yZMwclJSWm30/tEiIHbml3dHQUAJB47x3MTE3bbt/oid+e/r7333XcoZHxWmxTcNsk8lqn3j9y+nqjo6biImMuIcGE2iUkmFC7hAQTapeQ4EHdEhJMzGi3JKNX0zvAvPzyy3j55ZfR3d2NxsZGvPPOO7jzzjtx/PhxvPHGG6YHDN977z2ezUCIBCQSCdTV1Zl+P7VLiBxQu4QED+qWkGBC7RISTKhdQoIJtUtI8KBuCQkmZrQb2snuffv24c/+7M/w61//GmNjY5g3bx4+97nP4Y477sDZZ59t+jozMzM4duyY5VU/QWBkZAQtLS04evSoJScfNPg7w4FVDbql3TDdZ/4WOQnTbwHk0a4owvZ83IL3yRyy3ic3dSvrbzYD2+4PbLt5RGk3yPdcD/6uYFFMvysI+XLQn0fQ2w8E/zeEsf0yaDfo9zUo8D57gxf3WQbd6lGstlaMv5u/2dpvNqPBwJUxN8vSpUuxc+dOx9cpLS3FOeecI6BF8lJXV1cUguLvLC7c1m6Y7jN/i5yE6bdYIShxt1ifj1V4n8wR9PtkR7dB/s1suz+w7eIx0q6s7XYKf1ew4O8qxM98OejPI+jtB4L/G4q5/W5qN+j3NSjwPnuDTPfZr5gr0z3wkmL83fzN4igVfkVCCCGEEEIIIYQQQgghhBBCCCHEZTjZTQghhBBCCCGEEEIIIYQQQgghJHBwsruIqaysxF133YXKykq/m+Iq/J1EJGG6z/wtchKm3xJG+HzMwftkjmK8T0H+zWy7P7Dt3hPUdhvB3xUs+LvkIqjtVgh6+4Hg/wa23x1kbVfY4H32Bt7n4r0Hxfi7+ZvFU5LJZDKuXJkQQgghhBBCCCGEEEIIIYQQQghxCe7sJoQQQgghhBBCCCGEEEIIIYQQEjg42U0IIYQQQgghhBBCCCGEEEIIISRwcLKbEEIIIYQQQgghhBBCCCGEEEJI4OBkNyGEEEIIIYQQQgghhBBCCCGEkMDByW5CCCGEEEIIIYQQQgghhBBCCCGBg5PdhBBCCCGEEEIIIYQQQgghhBBCAgcnuwkhhBBCCCGEEEIIIYQQQgghhAQOTnYbkMlkMDIygkwm43dTCCEWoHYJCSbULiHBg7olJJhQu4QEE2qXkGBC7RISPKhbQoIDJ7sNOHXqFOrr63Hq1Cm/m0IIsQC1S0gwoXYJCR7ULSHBhNolJJhQu4QEE2qXkOBB3RISHDjZTQghhBBCCCGEEEIIIYQQQgghJHBwspsQQgghhBBCCCGEEEIIIYQQQkjg4GQ3IYQQQgghhBBCCCGEEEIIIYSQwMHJbkIIIYQQQgghhBBCCCGEEEIIIYGDk92EEEIIIYQQQgghhBBCCCGEEEICR7nfDSDOSCTTiI+mMTIxibrqCsRqIqiPRvxuFgkRdm1M+dxoahIN0QjSUzMYTU3RTj+E2pUHN56F2jUB8JkT38m3zdrKcoylppAY988us9tUW1mOSFkphsfTqK2iTgghJAww7yVO0bIhq7ZFWyTEmLD1ZcP2e4g+9PPuIvr+Up9ECzu2ZuUzHIcKJ5zsDjDHhsdx61N7setgfPZvKztieHDNMsxvqPaxZSQs2LUx5XOvHRnCw2s78a1/fht7+gctXSPMULvy4MazULtmT0cMN13Wjt4nXkEyPS3kewixipptdrc3YX1XGzZu70MyPe25Xaq1qau9Cdd3tWHt3/0Kyxc0UieEEBJgmPcSp2jZ0P1XL8G9z72JfztwIufvWrZFWyTEmLD1ZcP2e4g+9PPuIvr+Up9ECzu2ZuUzHIcKLyxjHlASyXSBKAHgxYNx3PbUXiSSaZ9aRsKCXRvL/lxvdxu27TmcM9Ft5hphhtqVBzeehdY1dx2M45GdB9Hb3SbkewixipZt7u4fxLY9h2dt00u71GrTnqw2USeEEBJcmPcSp+jZ0Def2Yfz5tUV/F3NtmiLhBgTtr5s2H4P0Yd+3l1E31/qk2hhx9asfIbjUOGGk90BJT6aLhClwosH44iPUozEGXZtLPtznS0NBRPdZq4RZqhdeXDjWehdc0//IDpbGoR8DyFWsWKbXtml2TZRJ4QQEkyY9xKn6NnQbpXcGlC3LdoiIcaErS8btt9D9KGfdxfR95f6JFrYsTUrn+E4VLjhZHdAGZmY1H39lMHrhBhh18ayP5eamrF1jTBD7cqDG8/C6JpqmuAzJ15g1Ta9sEsrbaJOCCEkeDDvJU6xk1sDhbZFWyTEmLD1ZcP2e4g+9PPuIvr+Up9ECzu2ZuUzHIcKN5zsDih1VRW6r88xeJ0QI+zaWPbnKsv1XUwx2im1Kw9uPAuja6ppgs+ceIFV2/TCLq20iTohhJDgwbyXOMVObg0U2hZtkRBjwtaXDdvvIfrQz7uL6PtLfRIt7Nialc9wHCrccLI7oMRqI1jZEVN9bWVHDLHaiMctImHDro1lf67v6DC62pssXyPMULvy4Maz0LtmV3sT+o4OC/keQqxixTa9skuzbaJOCCEkmDDvJU7Rs6FuldwaULct2iIhxoStLxu230P0oZ93F9H3l/okWtixNSuf4ThUuOFkd0Cpj0bw4JplBeJc2RHDQ2uWoT5KMRJn2LWx7M9t3X0Y13e1FUx4F7OdUrvy4Maz0LpmT0cMN1/ega27Dwv5HkKsomWb3e1NuL6rbdY2vbRLrTZ1ZbWJOiGEkODCvJc4Rc+GHli9FG8fHyn4u5pt0RYJMSZsfdmw/R6iD/28u4i+v9Qn0cKOrVn5DMehwk1JJpPJ+N0ImRkZGUF9fT0SiQTq6ur8bk4BiWQa8dE0Tk1MYk5VBWK1EQqRCMWujSmfG0tNor46gvT0DMZSU57ZKbVLzOLGs1C7JgA+cxPIrt2gk2+btVXlGEtNYWTcP7vMblNNZTkiZaVIjKdRU0mdBAXqlpBg4pV2mfcSp2jZkFXbCostMu4SNwlbX1am30Ptuk9Y/LysiL6/MulTC+rWH+zYmpXPcBwqnJT73QDijPooxUfcxa6N0Tb14f2RBzeehdY1+cyJ38joe9TbVONLWwghhIhHxthDgoVebm3FtmiLhBgTtr5s2H4P0Yd+3l1E31/qk2hhx9asfIbjUOGEZcwJIYQQQgghhBBCCCGEEEIIIYQEDk52E0IIIYQQQgghhBBCCCGEEEIICRyc7CaEEEIIIYQQQgghhBBCCCGEEBI4ONlNCCGEEEIIIYQQQgghhBBCCCEkcHCymxBCCCGEEEIIIYQQQgghhBBCSODgZDchhBBCCCGEEEIIIYQQQgghhJDAEerJ7i1btuDiiy/GnDlz0NzcjKuvvhpvv/22380ihBBCCCGEEEIIIYQQQgghhBDikHK/G+AmL7zwAm666SZcfPHFmJqawu23344/+IM/wJtvvomamhq/m0dIKEkk04iPpjEyMYm66grEaiKoj0b8bhYhxCHUdnjhsyWEEEIIsQ9zKRJ2aOOEELPQX5CwQZsODqGe7P6nf/qnnH9v27YNzc3NeO2117By5UqfWkVIeDk2PI5bn9qLXQfjs39b2RHDg2uWYX5DtY8tI4Q4gdoOL3y2hBBCCCH2YS5Fwg5tnBBiFvoLEjZo08Ei1GXM80kkEgCAuXPnar4nlUphZGQk5z9CiDGJZLrA+QPAiwfjuO2pvUgk065+P7VLiDu4rW1q1z/89tskuFC3hAQTapcQsXiVS1G7xC/YX3AGtUuKibD4C+qWKITFpouJopnszmQyuOWWW9Dd3Y0lS5Zovm/Lli2or6+f/a+lpcXDVhISXOKj6QLnr/DiwTjio+4GAGqXEHdwW9vUrn/47bdJcKFuCQkm1C4hYvEql6J2iV+wv+AMapcUE2HxF9QtUQiLTRcTRTPZvWHDBuzduxfbt2/Xfd+mTZuQSCRm/zt69KhHLSRekkimcejEKPoGhnDo5GjBShyj10khIxOTuq+fMnjdKdSudWSwcxnaQPRxW9vUrjnsaMXoM377bRJcqFtCggm16x1u5LjMm+XDq1yK2iVWMOsrzLyP/QVnULvBJV8fvxuZwDsnGYP1CIu/oG6DhZv5sds2zdxePKE+s1vh5ptvxk9/+lO8+OKLOOecc3TfW1lZicrKSo9aRvzA6KwFnsVgj7qqCt3X5xi87hRq1xoy2LkMbSDGuK1tatcYO1ox8xm//TYJLtQtIcGE2vUGN3Jc5s1y4lUuRe0Ss5j1FWbfx/6CM6jdYKKmj+72JqzvasPG7X1IpqcZg1UIi7+gboOD2/mxmzbN3N4dQr2zO5PJYMOGDXj66aexc+dOtLW1+d0k4hCnK16Mzlr43cgEz2KwSaw2gpUdMdXXVnbEEKuNeNyi4OD1Si4ZzhyRoQ3EHNS2Pyh+4fUjH+DI4BguaGlANFI2+7qeVszqi8+WEEJIseF23u1Gjsu8WV6YSxE/Udt5eueO/Ya+wopPoY0TmXGrioqaPnb3D2LbnsPo7T49t8AYXAj9BfESJ/mxWd/hlk0zt3ePUO/svummm/DjH/8YO3bswJw5c/D+++8DAOrr61FdzRUSQUPEihejsxaGxozPYqiPMjirUR+N4ME1y3DbU3vxYt4zemjNMt43DfxYyWXmzBG3n5cMbSDmoLa9R80vdLU34eG1nbMryQFtrZjVF58tIYSQYsKLvNuNHJd5s7wwlyJ+oebPejpiWLdiIV46NDjbX1DI9hVWfAptnMiKWzFdTx97+gfR2/XRRjrG4FzoL4iX2M2PrfgOt2yaub17hHqy+3vf+x4A4NJLL835+7Zt27B+/XrvG0RsY7Ti5ZG1naacgNFZCyMTU7qvG53FkEimER9NY2RiEnXVFYjVRIrKOc1vqMYjazsRH03j1MQk5lRVIFZbXPfACqLs2ioynKMjQxvcJkz+gNr2Di2/sKd/EADQ292GR3f2z/5dTStW9DW/oRrfvvYCDI2lMTIxhbrqcjRGIzizrsrJzyCEEEKkwqu8240cN6h5c5hyYT2YJxOv0fJnuw7GMZPJFPQXFBRfYcan5Ov329degLHUFEbGaePEf9yM6Ub6SE3N5Pxbthjsd+xlTCReoWg1GilDb3cbOlsakJqaQVVFGV4fGMJYqlCbdnyHGzYd1Nw+CIR6sjuTyfjdBCIIUStejM5aqKvSl4TeWQw8a+E0ym5BYoxfK7lkOEdHhja4SRj9AbXtDVZWkgPqWrGirzDaKiGEEJKPV3m3GzluEPPmYssvmCcTL7HaX1BQfIWRT6mOlGHD9j5V/Z57Rq3NVhMiDjdjupE+KstzT4SVKQbLEnsZE4kX1FVVIBopw8NrO7Ftz+GcRV5d7U34TxedU/AZu75DtE0HMbcPCqE+s5uEB1ErXozOWmissXcWA89aIHbwayWXDOfoyNAGt6A/IE6wspJcSytm9UVbJYQQUix4lXe7keMGLW9mfkGIu1jdeQrk+gojn/L6wDD1S6TGzZiup4+u9ib0HR2e/bdMMZixlxQbsdoINl+5GNv2HJ6thKiwp38Qd+7YX2D3suyoDlpuHyQ42U0CgagVL8pZC/kORTlr4cy6Kt3XtVbxmFkZREg+fq3kMtKBFyswZWiDW9AfECeYXUmupxWz+qKtEkIIKRa8yrvdyHGDljczvyDEXYz8WUN17uv5vkLPp9x71RLc99ybqtelfoksuBnTtfTR3d6E67vasHX3YQDyxWDGXlJs1EcjuKi1oWCiW0HN7mXZUR203D5IhLqMOQkPyoqXF1UCt9UVL0ZnLdg5i0GWlUEkWIi0a6vIcI6ODG1wA/oD4gQ9v9DTEUPr3Ciev2WVoVbM6Iu2SgghpFjwMu92I8cNUt7M/IIQdzHyZ4uaa/H8Lat0fYWWT3l3cAzJ9LTmd1O/RAbcjulq+qitKsdYago//uqnpIzBjL2kGNGLV0Ch3fs5Dp9PkHL7IMHJbhIIlBUvtz21N8ch2V3xYnTWgtWzGGRZGUSChWi7tvP9fgdRGdogGvoD4gQjvzDPwllbRvqirRJCCCkWvM673chxg5I3M78gxF2M/NmZdVU4s87cdfJ9Sq3B7k/ql8iAFzE9KDFXgbGXFCNW7d7vcfh8guZnggAnu0lgkHnFi0wrg0iwkNmuiT3oD4hTvPILtFVCCCHFBPNub2B+QYj7uOXPqF8SFBjTc6F2STFix+7pO8JNSSaTyfjdCJkZGRlBfX09EokE6upMLI0kRcux4XEhO/GIGKhd4if0B/ahdr2FtkpEQN0SEkyoXeIWzC/chdolbkL9uge1S9yE2nUH6lZuaPckG052G0CHRqyQSKa5MkgSqF3iN/QH9qB2vYe2SpxC3RISTKhd4ibML9yD2iVuQ/26A7VL3IbaFQ91Kz+0e6LAMuaECIRnLRBCFOgPSFCgrRJCCCFENMwvCAku1C8hwYTaJcUI7Z4olPrdAEIIIYQQQgghhBBCCCGEEEIIIcQqnOwmhBBCCCGEEEIIIYQQQgghhBASODjZTQghhBBCCCGEEEIIIYQQQgghJHBwspsQQgghhBBCCCGEEEIIIYQQQkjgKPe7AYSQYJJIphEfTWNkYhJ11RWI1URQH4343SxCyIdQo+GFz5YQQgghxF2Yb5EgQrslhDiBPoT4BW2PiICT3YQQyxwbHsetT+3FroPx2b+t7IjhwTXLML+h2seWEUIAajTM8NkSQgghhLgL8y0SRGi3hBAn0IcQv6DtEVGwjDkhxBKJZLogAAHAiwfjuO2pvUgk0z61jBACUKNhhs+WEEIIIcRdmG+RIEK7JYQ4gT6E+AVtj4iEO7sJCRh+l/WIj6YLApDCiwfjiI+mZ9vjd1tJMKHdWCf7nlVHynBBSwNeOzKEZHo65335GiXyI9uzpT4JIYQQYgY/cwYn322lv0uIX+TbeHlJCV47MqT6Xi/tln0FQuTBSI+yjTWQ4sRs3sX4Yo1ivV+c7CYkQMhQ1mNkYlL39VMfvi5DW0nwoN1YR+2edbU34eG1ndi4va+go3LKQMNEHmR7ttQnIYQQQszgZ87g9LvN9ncJ8Qs1G+/piGn2EQBv7JZ9BULkwUiPso01kOLFKO8aS00yvlikmO8Xy5gTEhBkKetRV1Wh+/qcqgpp2kqCBe3GOlr3bE//ILbtOYze7raCz8wx0DCRA9meLfVJCCGEEDP4mTOI+G4z/V1C/ELLxncdjGv2EQD37ZZ9BULkwUiPvxuZkGqsgRQ3RnlXfXWE8cUCxR6POdlNSEAwU9bDC2K1EazsiKm+trIjhlhtxLCtJ06l3GwiCSiy2LhTEsk0Dp0YRd/AEA6dHHU1kdC7Z3v6B9HZ0pDzN0WjRH7cfrZW7TQs+iSEEEKIu/iZM4joh5rp7xLiF1b7CIC63Yrus7KvQIg8GOlxaIzjSEQejPKu9PRMqOML47FYWMackIAgSzm1+mgED65Zhtue2osX88phPLRmGQDgAwPHPPBBEjWV5aEvnUGsIYuNO8HrUjFG9yw1NZPTjofWLCuKM1rCgJvP1o6ditJnsZ4bRAghhBQLfub0Rt9t1A9NJNMYHEvjri99Anf/9I2CXIm5NPEbIxvPR81u3eizitQ9+wuEOMNIjyMTU7qvZ481dLc34f6rl3iiQWq/ODGaZ3h/ZEL3816NFbthn7LH4yDCyW5CAoJM5dTmN1TjkbWdiI+mcWpiEnOqKhCrjSCZnsaG7X1Yv2Kh4TVue2ovHlnbycSFzCKTjdvBqFSMG/ZudM/OjdXg2RtXzGqUegsObj1bu3YqQp/FfG4QIYQQUiz4mdMbfTeg3Q/NzlOikTL0drfh66sWobKiFA3VEebSRAqMbLx1bhTP37IqZ5wm227d6rOK0j37C4Q4x0iPdVX600Etc6vx2HUXobK8FH1Hh3Hfc2/iO9de4GoMpPaLG615hvpopOD8+Hy8GCt2wz5lj8dBhWXMCQkIspVTq49GsKi5Fhe2NmJRcy0A4C8/dNJ9R4fR1d6k+rmu9ib0HR0uitIZxBqy2bhV/CgVU1tVjm4NrXW3N6GxJjKrUQ7OBQsjPcyrr7L1bO3aqVN9Fvu5QYQQQkix4GdOr/fdev3Q/DwlmZ7Gozv78Uc//BX++78d5EQ3kQYjfTXPqcwZp8m3W7f6rCJ0z/4CIWIw0mNjjX6s/Oc3focbf/Q6bnjyVTy6sx//euCEq+O31D4BCucZlPjl91ixW/YpczwOMpzsJiQgKGU9sh1WNFKGLdcsxe1fOB/vxMdcPR84kUzj4O9O4ZV3P8CbxxI4MjiW813ZTnrr7sO4vqutYMK7q70J13e1YevuwwDCXzojzLhxLrVi4589vxkbLm/H4+uW47HrLsL2r30KW65ZKv0Ak51SMU7v41hqCus1tLa+qw1jKf3yVERe1Hw+4LyEpp6dRiNlmMlkVG3SaXtEJPKKXl4/8gHeen8Ev/ndKbzjYtwjhBBCgoobubrZ7wKAh1zIYcyg5Cs9ed+d3w9NjOfmQ8V+viEJDk5zcqt9VrO+RETfRaQOjcavCJERUbHbSI9n1lWpvp4fK4HTYwQbLm9HamratZzCSPvHRyao3yJGz56/9eFxqm7mvG7liCKPCpQlD5cBljEnJEBkl/UYS02irjqCzc/ux6an982+x40yL8eGx3HrP+zFrv6PnHtXexNuvrwDC+ZGMa+hOsdJJ9PT2Li9D73dbejtakNqagbnNFbjX978HTZu75stQRL20hlhxc3yQvMbqnHXFz+BTU/vxaM7+4Vf302slooRcR8T45MFWlNKTW3c3ocff/VT1n8IkQa9Uk520bLTaKQMD6/txL0/ewO7+gdn/55tk07a4zSRV9OL0hnf8vMDuOeqJVL7B0IIIcQrvCwFqvddonMYs8xvqMb9Vy1B/8nRgtxY6YdOTE7j2PD47P0o9vMNSbBwkpNb6bNa9SVO+y6idGhm/IoQ2RAdu430mP96VUUZntt3PCdWKmME2/YcdnV8zkj775wcwwP/eED6MUHiHlr2PPbhcapu5rxu5YhuHxXoVx7uN9zZTUjAUMp6LGiqweYd+3MSeEB8mZdEMl3QUQCAPf2DeGTnQfzf35xEIpkucNJK6bcbnnwVN/7odZw8lcKjO/tnk6ZiKJ0RRtwuL5RIprHpmX05k20ir+8mVkrFiLqPdVUVBVpTSk0l09NcUBICtEo52UXLTnu727Btz2FD7dltj5NEXksve/oHsW3PYXx8Xp30/oEQQgjxAi9LgRp9FwChOYwVGqIVePKldwtyY+D0pNdL7wzm3I9iP9+QBA+7ObnZPqtdX+Kk7yJCh2bHrwiRCbdit5Ees1+fV1+FvUeHc85HVsYI9rg8Pmek/cry0kCMCRJ3UTtO1Yuct7ZSf69wjcHrWrh9VCDgXx7uJ5zsJiSgmCmjIaIETnw0XdBRUNjTP4jmOZWIj6Z1nXT3h+ejKRRL6YwgYmQzbpf4C3IJQSul20T9zmI/i4VYR8tOV5zbVNCJVRChPSe2qqeXPf2D+IPFZ2J9VxuGk9x1RQghpLjxMpeWOW83U848u43MqUmxYLbP6oe+RejQaPzqE/PrWBKZSIdXetMb71PzDZ0tDa6OESjoab8razzZ79yCyIVXuomUlRYcHanQ1d6ESJm96dX6aAQPrVmGLdcsnT3Gc+v6i7HlmqX4lkdHBYYRljEnJKAYldEYHk/j7p+94biUh9H3pKZmcGpiEouaa/HgmmW47am9eDHvOx9YvRTp6Rn8/nnNRVU6I2iYKZvkdom/oJcQNFu6TdTvVDokarrjghKihZqdJsb1E2Gn2nNiq0Z6eW9oHDf+6HX0fHgtljYj5DQDAwOIx9U7wE6JxWJobW115dqEEPsMGUzgiMylZc/b5zdUY/OVi3H0g6RmOXOljcypSTFhps/qh75F6NBsvyEIx6SR4sELvZkZ78v3DZMzGdfbBWhrX1mgtnF7n/DvJMHHqzg1PJ7G9V1tAJCz+EOxz9NjaTW2rp0B8PO9x3MWaa3siGHVx84w/KzsebhfcLKbkIBiVOYlNTmjWcrikbWdwkrPVpaXzpaTcuN8WeINRuVPFJtxu8RfGEoI1keNbV7k76TuiB3y7fTQiVHd94vQnl1bNROHAGCXjRhHSFgZGBjAeeedj/HxpCvXr66O4q23DnDCmxCJSCTTSE/N6L5HZC4dhLy9rKQENzz5qubr2W1kTk2KCaM+q1/6dqpDs/0GO2NjhLiF23ozO94H5PoGL8YIFBTtH09M4J34mOoCNdHfSYKNV3GqtrICa//uV+jtbkNvV1vBAsqfbei2dd1ZXWocT2sUn4KQh/sBJ7tJUZFIphEfTWNkYhJ11RWI1QS386qUeXlRpWRFT0cML72jX2rG6plOat/T1d6EE6dSWL6gcfZvZib6iHyYKX9SH43o2oOIEn9uX18Lr32D6N9J3QULGWORV9qzY6tGcSj7mAyrMY6QsBKPxzE+nsSneu9C3byFQq89cvxd/GrrPYjH45zsJkQi4qNpvPTOILra1Y8m6ck7j9dpLuJX3m4Fq21kTk28RsZ+AeCvvp3okP0G4gS/9Oi23syO93ndrnyUNjzw8wNS5xZhR9a4lI9X9hmrjWD5gkY8urNf6PfY1WV2u2TPw/2Ak92kaDBTsiVI6JV4uutLn8AXH9mt+VkrpSyU78m/d13tTbj58g4snBuVMugRa5gtf+J2iT8/Sgj64RtYKrF4kTUWyWyTVsqaAcVbrokQNermLcTc1o/73QxCiAeMTExi6+7DeHhtJ4DCUov3fOkTqI9GhOUiMucOCkFoIyleZO0XAMHVjt74FfsNRA8/9ei23uyWO/bDDwTV94QFmeNSPl7Zilvf47QMObWiTkkmk9E/gKHIGRkZQX19PRKJBOrq6vxuDrFJIpnGhu19qitmVnbEAl26SFlxlV3iaXAsjSsf2Y3e7jZ0tjQgNTWDqooyvD4whK27D+NnG7qxqLnW8vecOJVCYnwS0UgZaiLlaIhWSHvfqF1rHDoxis/8zQuarz9/y6ocm1GzO5G24Pb1s7/HT9/g1u8MykpMNcKsXb/tzQx6Num3XSnf/0EyjZHxSfQdHcbW3YdzypoBhf6KuE+YdRtUXn/9dXzyk5/EZ2/fJnyy+4OBt/Gvf3U9XnvtNVx00UVCr028hdoNF0o+H42U5fQDlVKL13SejaaaiPBcxKu83QlKG8dSk6ivjiA9PYPR1FTg8mQFajf4BKFfAOTqu666AjWV5RidmJK+n6mMXw0nJzEyIU+/gdqVE1n06FY8tTreZ7ddIscLZMotikW3sujAKr8bmcDQWBojE1Ooqy5HYzSCM+uqhH+PaJt0qku32hV0uLObFAVOS0PIjFaJp63rL8YjOw/mlNnoam/C1vUX2yplwZJu4Ua2En9e2ZvfvsGN3xmklZjFht/2ZgYtm5TBrpS2xZJp3Ly9j+WaCCGEkCyy8/n8UosrO2L4WnebK7lIEPqJShtlyGcIAYLRLwBy9X1seBx/8fe/DoR+lHYn2G8gJpBFj27FU6fljs20S3R8DUJuETZk0YEVvMzrRNukqDLk1EoupX43gASbRDKNQydG0TcwhEMnR5FIpv1ukipOS0MEke/u7C84q21P/yC++4vCMyYIqY9GsOWapfjxVz+Fx667CFvXX4wNl7fjs+c3h7r8Sdh8QyKZLkj0gNOJ6W1P7ZXWRxcLQbU3t+zKbg6hlGta2RHL+Xuxl2sihBCiTlD6rE4xEx+DmouIgHkykYmgadFL/Yj02ew3EDM41aPseYbbOmB8DQeMS94iSpey+x+v4c5uYpsgrYquq6rQfX2OwetBIz6axq5+9dVYuyRdjUX85djwOG57el+Onns6YtiyeinmSaZnkYTNNwRxJWYxEVR7c8OunOYQ8xuq8cjaTpZrIoQQokuQ+qwiMIqPQc1FRMA8mchE0LTolX7c8NnsNxAjnOgxKHmGmzpgfA0HjEve41SXQfE/XsKd3cQWQVs9o5SGUCOMpYvcXo3FVUPhQkvPuw7G8c1n9gl/vjLZT9h8Q9BWYhYbXtqbSJ2JtitROUR9NIJFzbW4sLURi5prpe/IEEII8Zag9VlFoRcfReUiMuXzZmGeTGTCiRb90J8X+nHTZ7PfQPSwq0ezNitLzHRLB4yv4SBo46NBtzvFL7wTHwNKgLZYjSVdFms/xwju7Ca2CNrqGaU0xG1P7c05CyGspYvcXI3FVUPhw0s9y2Y/YfMNQVuJWWx4ZW+idSbaroKWQxBCCAkmjDeFiMhFZMvnzcI8mciEXS36pT8v9EOfTfzCrh6NbHZwLI2x9HQgY6YVGF/DQdDGR4NsdyJiOWOmOqGf7H7xxRfx7W9/G6+99hqOHz+OZ555BldffbXfzQo8QVw9E7TSRYlkGvHRNEYmJlFXXYFYjfm2KquxXlRxek5WYxmtGnpkbae095No45We/bYfLU0FzTfo4Zb2iTjctjfROksk0ygvLUFPR0w1kbZjV0HMIQghhAQPxht1nOQiSp7x2pEhbLi8HZ0tDUhNzaCqogwv/OYkPr/kLGlzaObJRDasatHr/nR2/3lujfv6oc8mfmInNhrZ7PRMxjXNOhkzFg3ja3gI0vioG3bnha5ExXLGTHVCP9k9NjaGCy64ANdffz3WrFnjd3NCQ1BXz9RH5XTQ+Thd4ePWaiyuGgonXunZT/sx0lRQfIMRQVuJWay4aW8idabo5rUjQ3h4bSdmMhns6R+cfd2uXQU1hyCEEBIsGG+0sZuLxEfTs3nBtj2H8ejO/tnXutqb8Olzm6TNN5knExmxokU/K7JFI2XYuv5iZICCPrUo/dBnE7+xGhuNbHZ6JuOKZmWrsML4Gi6CMj4q2u680pWoWM6YqU7oJ7uvuOIKXHHFFX43I3Rw1ZZ7iFrh48ZqLK4aCide6dkv+/F7R7nXBGklJhGPKJ3l62bj9j70dreht6sNANA6N4rmOZW27Io5BAkiAwMDiMfVO6VOicViaG1tdeXahBQzjDfiGZmYRG93G7btOZyzAA4A9vQPYvOO/XhU4tyaeTIJMn5WZEump9H7xCvYfOVi3HnlYoylpoTrhz6bBA0jm02mp3Q/b0ezso5vMb4SPxBld17qSlQsZ8xUJ/ST3VZJpVJIpVKz/x4ZGfGxNe7ipDQDV225h8jVuqJXY8m8aijM2nW7jIpXevbLfoqxIkFQVmIC4dauH4jSWb5ukunpnN1bz9+yyraNafmcno4Y7r1qia1rEm8pNt0ODAzgvPPOx/h40pXrV1dH8dZbBzjhTVwnqNq1mwuzzyqeuqoKdLY05OQE2ewKQG4dpDxZIajaJWLxuyJbMj2NTU/vw/O3rMKFrY1CvisbvT7CA6uXBk63ALVbDNx71RJs3rFfteJBMj2t+1k7mpV5fCuI8VUN6jZYiLA7J7qy2k8RFcvZz1GHk915bNmyBffcc4/fzXAdEaUZuGrLHRLjad3X/dw9LfOqobBq16syKl7o2S/78XpHuUxnJwWBsGrXL/R01tMRQ22VudTPbd0oPuf9kQm8NzQOAOg7OozPP7wLyxc0+laCjZij2HQbj8cxPp7Ep3rvQt28hUKvPXL8Xfxq6z2Ix+Oc7CauE0TtOs2F2WcVS6w2gncHx3TfYzVHYO5sTBC1S8QT9opswGmfveWapTgymMTw+CQqy0vRd3QY9/zsDdxz1ZLA9Q+o3fCSfeRXb3cb1q9YCAA4p7EaZ9VVoT4aQSKZFn+msMRjxmGBug0XZvJMu3HPTj9FZCxnP6eQkkwmk/G7EV5RUlKCZ555BldffbXme9RW77S0tCCRSKCurs6DVrpPIpnGhu19qitWVnbEQlfSN0gcGx7Hu/Ex/NEPf6X5nudvWYVFzbUetiqXY8PjmquG5vnY8QijdsOoVT/s59CJUXzmb17QfF2kpmQ7OykIhFG7fqOms672Jlzf1YafvDxgaqDIC92E0ccVC8Wm29dffx2f/OQn8dnbt2Fu68eFXvuDgbfxr391PV577TVcdNFFwq4bxDYT9wmadhkn5OTt90fw//y3XZqvW8kRmDubI2jaJe6hppmu9ibcfHkHFsyNCulTe9l/zidsfp/aDSdW7FTkGFgQxozDAHUbHszmmXbinpN4JevcShjgzu48KisrUVlZ6XczXEXmkifFjHI+xAUtDehqbyo4Aw3wf/c0IO+qoTBqN4xa9cN+vFoBL+vZSbITRu36zfyGanz72gtw6MRozo6Ijdv7kExPIzVlbI9e6CaMPq5YoG4JCSZB0y7jhJycVVclJEdg7myeoGmXuEdNpAyfXzoP61csRGpqZjbP733iFSxf0ChEN35W9Aub36d2w4kVOxV9prDsY8ZhgLoNB1byTDtxz0m8knVuJQxwsrsI8bMkEdFGcZKvHRnCw2s7ASAneemR6MyFsJzDIjtB1qpemRiv7cerc0zC1jEnwWZ0YkpzxbcZe/RCN175OJZHJYSQYBLkXNhP3I57onIE5s6EWCc+msamp/epviZKN36eA+qX32d/gVjBqp2KPFNY5Jgx7Z6EGSt5pp24Z+QHhpJp9A0MaWqLcyvuEPrJ7tHRUfT398/++/Dhw/iP//gPzJ07t2jPxaszOOh+jsHrXlMswXcoefrclWR6Ghu396G3uw29XW2zq3VbBZWkIsEhaFpVkLEcodNVc26e8ULCid+xS4Q9ur3a1AsfJ6M/IoQQYo6g5sJ+cmx4HHfu2I/z5tWhs6UBxxMTOBGtQOvcKM5ujAr7HhE5AnNnEnbc6A94pRu/dp354ffZXwgvbvXJ/bBTRfuixoxp90QW3NKp1XhpNe4Z+YHE+CRuePJVANSWl4R+svvVV1/FZZddNvvvW265BQCwbt06PPHEEz61yl/8LElklWIJvolkGumpmdl/J9PTeHRnf857nr9lldfNIj4TJK0qyFyO0O6qObN+iAOyREGG2CXKHt1cbeq2j5PZHxFCCDEmiLmwnySSady5Yz++fEkrtu05nNOf7G5vwoPXLMM5c8VNeDvNEZg7kzDjVn/AS934sevMa7/P/kJ4cbNP7kd+kq19p2PGtHsiC27q1E68tBL39PxAV3sT+o4Oz/6b2vKOUr8b4DaXXnopMplMwX/FOtENfFSaYWVHLOfvRiWJEsk0Dp0YRd/AEA6dHEXiw53IbmEUfN3+fi+Jj6bx0juD6GpvUn29x6fBHK+fOcnFrlZFYef5mykTEySs+CEl0VGDA7LFgyyxq7aqHD/+6qfw2HUXYev6i7Hh8nZEI2UA3Bsosuov3PZxYfNHhBBSbIiOE2Hv28RH0zhvXh227TlccJbn7v5BbHpmn1S/2UzuHPZnRsKJyP5AvgZqq8rx2fObVd/rdp/TCz16PQbC/kI4satBszbupZ0qbUqMp7H9a5/K6ddnf68V7dPuiQw4iZVmtOr2GK2WH+hpb8IN3W3Yuvtwzt+pLW8I/c5uoo7V0gx+7FIrpjO8RiYmsXX3YdVzV7ram3DPlz7h+W9185n7Xd43SPhVPszu8w9bOUIjP/T+yISjM15EQl3JgQyxS02/Xe1NeHhtJ37y8gDuvWqJ0DY4iRdu+jg9fxSNlGEmk8GhE6PUDCGESIyoOCFD1RW3GZmYRGdLQ8FuL4VdkvWh9XLnb61ZhrH0tJTPjDk3MUJUf0DLb91/9RIAwL8eOJHzdzf7nF76UC/HQEYmJhGNlKG3uw2dLQ1ITc2gqqIMrw8MYevuw4EbvyCnsaNBqzbuhZ2qtan7w379xu19SKanbWk/TON2ssRkWdoRJOzGSrNa9WKMtgTAFUvnYd2KhbNHCvxuZAIlKFF9f5C0FVQ42V3EmC3N4Fd5kzAFXyPqqio0z13JLnvhFW4+82IYaBKN1+XDnDz/sJUjNPJD7w2N46y6qtn7EbTFCUQ8fscuLf3u6R9EaUkJvnPtBTizrsr177MSL9zycVr+KBopw8NrO3Hvz97ArqzFZdQMIYTIidM4USzlOuuqKnA8MaH7Htn60Fq5MwBs2N4n3TNjzk3MIKI/oOe37nh2P7597QW47YopT/qcfvhQr8ZA6qsr8PDazoKjH5SFwnXVwRq/IKexqkG7Nu6mnWq1aXf/IEpKSrDjpi6UlpTY0n5Yxu1kicmytCNo2ImVVrXq5hhtIpnGX6q0BTgdQ3q72woWoAZFW0Em9GXMiXP8Km8SluBrBqW0hnLuyg1Pvoobf/Q6bnjyVew9OoymGm878m49c1nK+xJ9nDz/sJXyNvJDAAruR300gkXNtbiwtRGLmms92dFNXcmD37FLT7+7DsYxOjHl2ff5XaZJyx/1drdh257DORPdADVDCCFhReZYJZJYbQQNBhMzMvah1XJnGZ8Zc25iFhH9ASMNjE5MedbnlFGPoqipLFc9+mFP/yCe2HMYNZXcIxZErGpQRhs36teXlpTY1n4Yxu1kicmytCOI2ImVdrTq1hitXlv29A+is6Uh529B0VbQYdQOCH6Ww/Brl5oSfF9UcRxeOYjs+15fXYGaynKMTkwJfw5+lz/OR+Qzz76H1ZEyXNDSgNeODCGZns55X9hK0/uJXX+hfG5wTD8Z03v+RuUIAQSqbHCsNoKejpjmSr0+g8UoXvhuGcpmk49wK3YlkmkMJycxlp7CWHoaDdUVaJ5TWfBsvY7ZonaumNGJVT1p+aMV5zZplnilZggxz4EDB1y5biwWQ2trqyvXJsFDRC4lQ9UVL/ry9dEIFjRF0d3ehN15EzeAN33o341MYGgsjZGJKdRVl6MxGrFVUcbvZ6YGc25iFr3+QE9HDDOZDI4MjiE9NYPR1JSqX5BJA26ND5n1h2760NGJqYKJboXd/YMYnZjCmXVCviq0yFi+2Wqf3M5OcDd+c/Z1K8tLseHydmzdfbhg/FStTVbI7ycrpfxXnNuEyvJSxD8cE/T7OeohS0yWpR1BxM7YmZux0aqu89uSfyRG85zKWQ0vX9A4O78jo88ME5zsDgB+l8Pwa5ea3xPA2fddKXmav+JT5HPwq/yxGqKeud65scr5MtnIVlYviNj1F9mfe3zdct3vMHr+WrY8lp4uKEcoe2mf+mgE9121BLc/uy9H+13tTbi+qw0bt/dh9YVnq37WK98t00AIcSd2HR8ex5EPknhk58EcO+z58JrZ9uR1zHb6fWZ1YldPav4oMW5/QQ8hBBhPDAIowVe+8hVXrl9dHcVbbx3ghDcRlkv5WXXF67782Y1RPHjNMmx6Zl/Bd7rdhx4YHMOmZ3Jz5u72Jjyweilam2osXcvvSjlqMOcmZtHqD3S3N+H6roV4b2gcP9z9ju7YkkwacHN8yMgfuu1DqWtn+D1erYXVPrkVG3frN1sdP3XqA5R+8uBYGhkAd+/Yn7MgXIbnqIcs2pWlHUHEztiZW7HRjq6z25I9b5Sto56OGH6+sQeN0QrURyPS+swwwcluyZHhfDE/d1j7NQGcf9+Vkqf5Kz5FPwdR5704XSUk4pnrnRsLgGdXuIBdf5H/ub6jw+hqb1Jd4Wz2+efbsgy+zC6N0QpcuWw+ervakJqaQWV5KfqODmPj9j4sX9Coej+8/L0yDYSQ04iMXYlkGv/3Nyfx3N5jBZrcpWJPImO2mVji5PvM6sSpnvL90aETo7q/m5ohRJ/J5CkAGVz4R7fijLbzhF575Pi7+NXWexCPxznZXeSIzKX86s96nf8qcXs0NYn7r16C9NQMxlJTnvShfzcyUTDRDZzeGfnNZ/bhr//wQks7vGWo8pYPc25ihez+QGJ8EhOT03jpnUHs+20CLx/+wHBsyQ0N2B0ncnN8SM8feuFDqWv7yD7GY6VPbtbGrfxmK3qzOn4qKg4q7dmwvU/ziC+/n6MWsmhXlnYEFatjZ7VV5ZoVjLrbm1BbZX2q064vy/YbWvNGuw7GceeO/Xhkbadwn8kd4upwsltyZCiH4fcOa1ETwFbIv++dLQ2elTx16qzsrhLK/94t1yzF3T99A/964ETOdcw+c6OzK3q72nL+xrMrnGPXX+R/buvuw3h4bScAFKw2t6t5o7adOJUytHu/Anl9NIJVHzvDkg/00nfLOBhIxMWu+GgazXMqNcvr5duTk5idrbGaSDleGxjCfc+9ObuKXC2WOPk+szqxoie3J+gJIR9R29yKua0f97sZJKSIzKX86s96mQ/a6QOKyK2Va3wwlsYN3eeis7WxoOTq7v5BDI2lLU12+z0GoQbzB2IVpT9w6MQorvneSwCAx9ctx9/+60HV92f7BTsa0NO0k91kIvRoxx8afeZ4YgLvxMccjQ1Q1/aRYbzaCLN9crM2bvY3W9FbIpnG8cSE6fFTEXEw/7hJ2Z+jGrJoV5Z2BBkjnWbbazRShr/83HmI/NtvsPOtk7Pv6WpvwvquNoylpix/v11flu03zMwbAbD0PW7F9LDDyW7JkaUchkwltr0g/76npmZ03y/qOTh1VnZXCWl97wOrl2LT58/HyLj1Z25ku9n31M9BizBh11/kl/RNpqexcXsfervb0NvVhjlVFWiqiTjSvFHbBj5I4oYnX539d77d+x3IrfpAL323jIOBRBwjE5OWY5CdmG2mbJpWLLGbI5jVidn3mfUT1AwhhMiP6FzKj/6sV/mgnT6giNzaSsnVkQnrg4+yjUEwfyB2yfYFVvJ6KxrQ03RNpMzxbjKnerTjD40+8058DDf+6HUA9scGqGv7yDJeLQozNm7mN1uJyYpu116iX82ovroCz964QkgczPcVj113keFvkhFZtCtLO8KKVq75X/+f8/DHv7cQycnpnOqbP/7qpyx/hxNfpviN3xhUDzw1MYmMQTuyv8ftmB5mONktOTKVw/Bjh7Vf5N/3yvJS3feLeA4iylnYWY2k973ffGYfHlnbiXPPqLX8e4xs99xYjbBkjZzGrr+IRgpDQTI9Pbsq7Z/+rAeLmq3bgJW25ZNt9wCkCORWfKDXvlu2wUAijrqqCnwwpn/GtJo9WbFXK2XTtGKJnRzBrE7MvM9qDKVmCCFEbtzIpbzuz3qVD1rtA4rod1otuVpno6wkIN8YBPMHYodsX2B1bMmMBow0fd9VS4Ts3HSiRzv+0Ogz2ffSydgAdW0PmcarRWFk42Z+s9mYnK3b9SsW6l63MRpxPCYHqPsKL8a73UIW7crSjrChn2u+hc7WRiHHozr1ZfXRCOYaPGsz7VLeYxTTN1+5OJDVGLxC36MR31HKYajBchjukX/flTOM1RD1HMwkREbYWY0k4nvVMLLdefVVuLC1EYuaa4vaCYvErr8oLS3RtO+u9iaUlZa42rau9ib0HR0u+Ltif27ZqJv44bvrP+wAUVfhIlYbwYlTKVdjkNGxE50tDTl/E7W626xOzLzPjp+gZgghRF7C0A/26jdY7QOKyK2t5A7d7U1orJH/eZmF+QOxSrYvcGNsyUjTY2n9ygpe7Ny04w+tjiE4GRugrq0ThjhtFTO/2WxMztatF2PO+d+p4NV3u4Us2pWlHWHC6jiVXXsV4cvMXMPs9xjF9OHxcFXVEA0nuyVHKYeRLwaWw3CX/Pu+dfdhXN/Vhu68BEDUc0gk00hNTeOx6y7C1vUXY8Pl7YhGynLeY8ZZ2VmN5FbpIdqu99i95+WlJbi+q60gwe1qb8L1XW1CJru12tbTEcP1XW3Yuvuw6udOTUwGsjyWSPtPJNM4dGIUfQNDOHRyFImkfJP7xD3qoxFc+rEzcPPlHQUa7cmzJ7u2YuXYCUDc6m6zOjHzviD6CUIIIdqEoS/h1W+w2gcUETPN5g7d7U14YPVSS+d1KzAHJmEh2xcoY0v5eb0Tv2Ckx+wjBdTwYuemHX+o9RllnEJtDIE5v3eEIU5bxcxvVovJ0UgZNlzejsfXLcfkTOZ0TMs6TtANv6CGmq/w6rtJ+BGdt3l1PKoIX2bmGma/x+h31+TNF+UjczUGL2AZ8wBQTOUwEsnTuzhHJiZRV12BWI1/vzP/vtdVV+Cv//BCjE5MCX0OZs86M+OslFVCL6qsANJajeRm6aFisl1ZsHPPm2oi2PLzA+hsbURvVxtSUzOzZ5785OUBfOfaC1xrW3lpCa54eJdmB9xKqRcnuOF7RNi/32eVEzmY11CNaKQMD1y9FGPpKSTT06ivrkDznMqC877s2IqVEoFascSuhszqxOh9YSyjRwghxU4Y+hIif4NWrLXaBxQRM42usaApin/6sx401kRsTXQzByZhowTAFUvnYd2KhZiayeDWz52HmQwwPTODhuqII99mpMf66gpVHxGNlGHzlYsxk8mgb2DI9TE4O/4w/zNVFWV4bt/xnLGybJjze0sY4rRVjH5zbVU5fvzVT2F4/LS97n1vGBec04Af7n4np+Ry9tnCyfQ0Nm7vQ2932+yY3LmxGsyrrxJ6L9V8RfZ3b/7CYkxMThfFcyRicSNv8/J41PkN1fj2tRdgaCyNkYkp1FWXozFqLYc14w/NvMfod9dEyi3P/RQTnOwOCFbP3pRlwtgKMnZo1e77mXXirm/2rDOzzkpZJXTbU3tznJ7eaiS9wZGejhhqbZ6vlt2mINifX7ihV6v3vD4awT1XLcFtT+3NSb7dWMmZ37ZEMo3lCxoNg7SbgdyK77H6vJzYv4jzFEUQ1JgSNvRsyamt6MWB7BKBWj7BavxOJNMYHEtjaiaDmUwGydQU6qMRtMVqbOtJ7TdEI2Xo7W7DinObkBhP49DJUdovIYT4jJe5lCyI+A1GsdZKH9DOAul8jK5xTkO1oxz4zh37cUFLA9avWIjU1AyqKsrw+sAQ7tqxH9+59gJPbYK5MHFKIpnGX6rk6sBpvTjt1xnpsXlOZYGPiEbKsHX9xfjuzn5senpfzvuNxuCyNVFfXYGaynKMTkyZ0ogdf5j9mUQyjb1Hh2cnupV8XylnO5PJIJEs7vNKvSaocdqJb9f6zWqxuqe9CZ9qm4u+geGc9770ziC625uw+8Px32R6enY8ToRfUEPLVyTT09h7dBhf625z5VkmkmmcOJXC8PgkaiJlqKksR0N1RSDthhTi1thlbVU5ejpimrHTzGIQszoXNSdlxh9mvz4yMXl6NVzW341iekO0wvLcTzHByW6X8bpjJOOEsRlkmdTxGqPzJ3q72iw7K6srK5Ppadx4WTumM5nZSXbg9ATHuhULcccz+3DPVUss2Q8HBApRuydj6Wlp9OrXilyzCzTcCuRWfI/X/tXMeYpuP5+gxpSwYeRTndqKng7vvWoJRsbTWH3h2ao+wWr8PjY8jjt37MeXL2nFtj2Hc+KOE9vK/w3RSBkeXtuJJ/YczlnE09MRw5bVS3HO3Kjl7yCEEKKO1wNJxYaZWGsll7ezQNqNa2gxOJaezROyY7hSunhwzLuJLNosMYPbuboRZvRYH0WOj2iMRnDHs/uxq9/aGFy2JpR8W2ROb+W3vnl8BD9cdzH++p/fKli0T42apxjH79zw7Vqxelf/IGbw0WYmha27D+PhtZ0oKSkpaIdbE1Zuxm4tjg2P49Z/2Jvja3raY9j0+fMwnp7GWdRp4ImPpvHakSFsuLwdnS0NOYsUt+4+bCvGKeNG61YsxEzefIVZezWrc6/npH47lMSRweRs9Yfn3zqBt4+PzM692InprMbwEZzsdhGvO0ZmxSljIiPDpI4fGJ3DUF9dYcupml1Zqawwfu3IEB5Z24kbL21HYnxytoS1UhoqNWXeuXNAoBC1e7LlmqX4+d7jpjqXXmnWrxW5okq92MGs7/FjQY7fZxAX6yIk2TDjU0XYir7GajQ/ZyV+KzZ1QUtDwaCY8n4ntlXzYSnG4fFJzKkqR9+RIbyet4J+18E4bnt6Lx5aswxnN3LCmxBCnOLWQJKMfVa/MBtrreTyInJrt/LzqZmMap6g/PvOKxc7ur5ZmAsTM3iVqxthRo/ZPuLQidGCsQgFrTG4fE30drcJz+nN+H7ltybGJ7HpmX3C+xTFRDGO39nx7Wbs0sxmpmyU8uE7bupCaUmJZxNWXm50SSTTBRPdALCrP47Mzw/g9i8sRnWkjDoNOKOpydmFT/mLFB9e24mxlLUYl63Rlw4N5pT3b6iuwKLmWsPy4lbmyI4nJrD2klZc39U2O0GvVA8RPSf13gdJ3Pr03oLNhtd3teVUL7Ia08lHeDrZPTAwgDPPPBOVlZU5f5+ZmcF7772H1tZWL5vjKn50jMx0gt3YSSpiIMLvSR2/MDqHodFlx5VvM9f98Feq7zPr3DkgUIjWPWmeU2mqcylz50PkIKTZUi+i7ScxnjZ4/bTv8WNBjt9nEBfrIiSZMOtTRdtKBpgtpWSElfit2NT6FQtzOkHZ2LUtNV+pdK7yz/Tb3T+II4NJ1FaW04YJIcQBVnJ/K3mFH4vGZZ5Yd6uvLCK3diM/n5nJFExeKezpH8TUtDdlipkLEyO8yNWt+CcrerTjV/I10dnSIDSnt+r73xsa1/QV1Kgxso/fuRWbrfp2s3ZppKnU1EzB35LpaZSWlGBRc63Vn+EIrybJ4qNpzXHP3f2D+GAsjWgFJ7uDTkN1BN/657c1Fyk+cPVSS9fL1mh2eX+F529ZZXjErN05MrUxJFFzUolkGpvyJrqBj+5TZ2tjjv/xYzJb9j6RGTyd7F64cCHOP/98/PSnP8WiRYtm/37y5Em0tbVhenpa59PBwo+OkVFgTYxP4u6fvSE0kRE1EOH3pI5fiDgvzQnZNqOWeGVjxrlzQKAQrXti5n7L3PnQ0v4Dq5ciPT2DxHgwAmM0oh8Go5EyAP4syJHJP6gR1kVIMmHWp4qwFbvx3Ch+11SW49CJUYxMnK4asuHydqSnncebbLR8pdJpyC8ZBwDD45NFGZMIIUQkVnJ/s3mF1/mvzAtLFcz0lcMwOKWQTE/pvj6YTKPKg8Fx5sLECLdzdTf9k50xuHxNiBhDUrDq++OjaQyPU6NOkHn8zk3bt+LbrdilkaYqy0sL/ubFuI6fmJmnaIyGc7y/mEhPz+guUjQa/8lHRP5ld45MbQxJ1JzU6cUf2vept6vN17ilduSAbH0iMxR6Wpc5//zzcckll+D555/P+Xsmk/G6Ka7iR8fIKLBGI2WGiYwVjIJ+Imn+ekryr0aYg79yDkNP3m/vam/CjZe15+xEc4Nsm8lPvKKRMmy4vB2Pr1uOx667CFWRMsNnygGBQrTuiVqim82cqgpTnQ8/UNN+NFKGZS0NOPJBEu8NjWMoOYln+n6Lv/j7X+PY8Lgv7TRDaWkJutqbVF/ram9CWenp7a1+LMhR/EO+b3TzPKVsinURkkyY9alObSWRTOOF35zE+hUL8dh1F2Hr+oux4fJ2vHpkyDCe68Xvno4YXj0yhM/8zQtY/dhL+PzDu9E3MIRzGvUTZau2ZVQyrrOloeDvleWlRRmTCCFEJFZyf7N5hZf5r8j+rJsY9ZWrKkqxYXvfbLz9zF+/gJu391nOwRPJNA6dGEXfwBAOnRz17ffXV+vnLVPTGU9iOHNhYoQbubqiw9ePfIAjg2O4oKVhdgE2IM4/xWojBeNQCj0aY3D5mjAzpmEWq75fWUgr6vuLEVnH79yOzVZ8u2KX+eOjW9dfjGUtDRgc+6gtuv3i9hh+NzKR8zevxnX8xMwCALfHvYn7jKb0FymOGbyej9P8K5FMo7qiLGdsKzuOAvpzZNljSCLnpMxUf/ArbmkdOfDiwThulahPZAZPd3aXlJTgsccew49+9CN84QtfwLe+9S1s3Lhx9rUw4UfHyGi1aGmp/j22msiIXAWoJP+3PbU3p/3FEPxrImX4/NJ5WL9iIVJTM7PnZfc+8QqWL2h0dfduts30HR1GV3sT9vQPIhopUz1vw2hFDwcECtG6J9n3Ox8lmL4TH9O9tl+dj3zta9mL2rkjslFeWoLrPzw7Se3MFGWy269d1l6ep5SP3zvLiTWf6sRWhpKTeG7vsQINKOWb9OK5Xvy+8bJ29D7xSs779/QPYt97CfS0N6muarVjW1ZLxnW1N6Hv6DBWX3i2pe8hhBCSi5U4ZTav8HLwXeZdbdnoxdoHVi/FXT91Xr1Nph3uyiSc2rPpam/C6wNDnsRw5sLECNG5utljeUT5p5sua8dMJlPQB7jpsnbV9+drwsyYhlms+v66qgo8/9YJze/XmrAnHyHr+J3bsdmKbx+ZmNQd71rd+VEs0orVXe1NuL57Ifb9NoHH1y23dO5w0DGK531Hh3HVBfN9aBkRiWhf4iT/MhNHzcyRpaZmhM9JGd2nhuoK3+LWiVMpzSMHdh2M48SplBR9IjN4Otmt7N7+8z//c5x33nlYu3Yt9u7dizvvvNPLZrhOIplGeWmJpkN3q2NkNGE8Pqm/Wsqq8xE9EOHnpI6fxEfT2PT0PtXX3B5kybaZrbsP4+G1nQBOnxOxbc/hgk6D0aBJsQ8IqJUP1LonW3cfxtb1F6OspERzgUddlf7KKb86H/na7+1uU7UXrXNHZKKpJoItPz+AztZG9Ha15Sw4+cnLA/jOtRcA8HdBjh/ntCjfW6yLkGTBqk+1YyuJZBqbn92nqd/ebuNSSmrxu7y0BFc8vEt1pfb9/3gAz97YhXueeyPne+3alpWSccpClp+8PIBYd5ul75GBMJWpJYQEF8UXTWcypvu8ZvMKLwffZd3VpoZWX3lwLI1/O3BC9TNm+5KyHZ1UH41gy+qluO3pvditshjVqxjOXJgYITJXt3osj1P/FB9No/eJV9Db3VbQD+594hX8bEN3QVvzNaGMIZUAOVq1oxGrvj9WG8Hbx0dUF653tzdhy+qlpnxfMefVso7fuR2brfj2uqoK3fGuu3/6Bh7NipHZsXoomUZifBJ9R4ex4cd9Bf1iM+cOBx2jeP6/Xh7A1wLYJye5iPYlehq996oleHdwDLVj6QKfbSaO7j06bGqO7NxYjfD8V+8+dbc3YUFT1LcYZHQsSMLgdZnwdLI7myuuuAIvvfQSvvSlL+Hll1/2qxnCUVaQvHZkCA+v7SxYJel2x0hvwjiRTAt1Pm4MRJgdqA9TUur3IEu2zYylJvHA1UsxPjldcL6pgt6gSTEPCGjthnhozTLVe7J8QSMWzo3qLvCQtfORr/3OlgZNe1HOHRlLTUqp2/poBPdctQS3PbW3oIpBvs0W44KcYvzNMuGFTzVzbpCZeJ4fv/sGhjRLkiXT0xhNTeLuL34C0zMZJNPTqK+2b1t6vrKnI4Z59VV47LqLchay3HvVEqF27IV/k2nXHSGkeMn2Rcpup0wmY2qiw0xe4WX+6+XEuog4odZXFlEJSsYd7ufMjeKhNctwZDCJ4fFJV2O4HsyFiR4ic3WjY3l6u3InhJz6p5GJSSTT2uM+Wr4jXxN11RX46z+8EKMTU440YmfhwD1XLcFdO/bnLFxvqK7AgqYozm6MFlwn2w/XRMrx2sAQ7nvuzdk+S7Hl1bKO33kRm8369lhtBCvObdLUyS6VGKnE6r6BIdzw5KuabbAz1ivjmJoRevH8Pg/jOXEPN3xJvkarI2V4fWAYn8/aUJHvs43i6OYvLMbXuttMzZHNq69yxTZv/8L5WDc0jpKSErw+MIStuw/jkwsasWX1UtW45RU1eWXe88kvAy8znk52r1q1CpHIR4ayePFivPzyy1i9enUozuzOX0GycXvf7CpJAGidG0XznErXHbnWhLFo5+PXRFzYBntlKB2kNkmhh15SVowDAnq7IW79cDeE3j2xUx7Yz85HvvbzSwTnMzWTQV11BBu290mpWys269cuaz8pxt8sE277VKMFVwBsxXOj2FZfHcGi5lrL11W9loGvjEbKUFlehlMTk1h94dmIfdjBEYUXeYlsu+4IIcVJvi9Kpqdn+7w3XtqOqooyw8VLRnmFl/mvV/1ZN+OEiL6k34uvtTi7MYrayvLZHMiNGG4G5sJED1G5upVjeUT4Jye+Q00TTneo2vH98xuq8Z1rLzB1782Uti3GvFrG8TuvYrMZ314fjSBicDa81o5H0WO9QR4LlyWeE/dww5coGk0k0wXjyUDhWIhRHJ2YnM4Zh/dyvF1Nvz0dMfx8Yw8aoxW+a6EmUq55LEhXexNqIr7tl7aMpy39xS9+UfC3uXPn4oUXXsj524MPPog//dM/RUNDg0ctE0P+CpL8VZLP37LKd+MV6Xz8mIjzcrDXqxVzMu7edZqUFduAgJndEIuaa4WsZpOh85Gv/UqD5L+lsRqbn91fcP6HTJ1JL202iKtxib+4aZ9G/v6cxmrT351t23NrvI1tRr7SrfvnVV4i4647QkjxoeaLlD7vozv78fwtq4QsZPIq//WiP+t2nBDRl3Rz8bXTvLfY+pUkmIiwU7PH8ljxT3r6k3Ecyo7vN3PvrZSIL8a8WjY/K9umj9oq/akTrR2PIjWWSKZx6z/slXpMzQjZ7IyIx61nrDcW8uqRIQwnJxEfTRuOTefns171N7Ri0K6Dcdy5Yz8e+fBIWT9piFbg5ss7AOQeC9LV3oSbL+9AQ9SfY1TtIOW0/AMPPIA//MM/DNxkt6wrovMR6Xy8nojzarDXzRVzah2Oh9Ysw62SJHKAnB0fmfHiTCHZksJs7c/onNfY0x5DSUlJQVKuUGydySCvxiXhxMjfn1VXZeo6+bYdjZRh6/qLkQFmS932drdhxblNqCwvRXwsDUDsJLQfvtKrvCQoOSYhJNx46Yu88ulu92fdjhP10dN9yf/7m5NonlOJ1NQMqirK8LuRCVz2sTNMXdutvh/zXkLMY3QsT+vcKJ6/ZZVp/2Skv/poBFuuWTpbWriqogyvDwzh7eMjnh4VkI8bvt9qiXjm1f4j06aP0pIS3R2PZaUlqp8TqbH3RyY4pkaKFq3+h3Kc0h3P7sOu/kFsuLxdU6ta+awX/Q1ZNi7oLYCrj0awYG4UVy6bP3ssSGV5KU6cSmHhXP/OEreDlJPdQS1pLkM5aj/wcnDZiwEWN1ff63U4ZEnkAPlWUsoOtQ88pGIv3e1NWNe1EO8OOj9LMAywDDGRERH+Xs22k+lp9D7xCjZfuRh3fXExSkpKcPeO/TkVb8Iw4O3VxE+xxhlCiFyE1Re52Z/1Ik5kAPx87/GcgfCVHTGs+tgZpj7vRt+PeS8h1jDS4TwL+bIZ/Y2lp3Hb0/sKSqpuWb3U0ncFASsl4oHgxrKwIcumj/LSElz/4YKI/B2P13e1aU52HxseF6KxRDKN94bGdd9TLGNqpDjR6n/0drdh257Ds7rcuvswHv5wl3S2Vv2ey5Bh44KZBajzGqrx+SVn5cxNLV/QKIUftoKUk91Bhbth3ceLARa3VtyY6XBYLfvnZjlkmVZSyg61n2svifFJTExO46V3BrFxe59hSRZZO5Oi9SXLaj5C8nHq77VsO5mexqan9+GFv7gUd+zYj115K2ztDnjLdBSAVxM/jDOEEBmgL7KO23Fito/psLSp6L6fWm6gVHnpbGnAb06MYm5NhMf5EJKFKB0a9TuHk5Onc3OVkqrffGafkMUoQcrXs0vfMpaRfJpqItjy8wPobG3M2fHYd3QYP3l5AN+59oKCz+iVLbaqsfho2vA9boypyaRhUtxo9T86WxpyNlMk09PYuL0Pvd1t6O1qQ311BRqjEaFzGXZ04fdiYSsLUGVZZOQETnYLhLth3ceLARa3VtyInujyoixcGJycF1D7p1Hs5dCJUVzzvZdm/953dNhyKRm/UfT12pGh2UG5d+NjaGmM4sy6SlvPVIbVfMQ9gt4ZdOLvjWx7LD0lLP7JVhLVq4kfxhlCiAzQF1nH7Thh1Mc8npjAO/ExU7mJyL5ffm6glJrctudw6Kq8kOAQhHxdhA69zM3VCFK+3tXehL6jwwAYy2TGT+3WRyO456oluO2pvQXxS8teRI7/jkxM6o6p9bgwpiabhok6QYhpItDqf6iRTE/P6vTZG1dY3lSoh11d+L1YuNg2XnGyWzAy7oa16vxkdpbJ9DRuvKwd05lMTpDv6Yjh3quW4N3BMdSOpR212a0VNyInulgWTj5k1L5ZrGjezHvzbV3WUjJaKPp67ciQqUE5s/fP79V8xD1k6wwa2aToOG9k22PpadW/Kzu8UlPT6BsYMuV/ZIt9Xk78BDnOEELCg5++yE788rtv63acMOpjvhMfw40/en32O/VyE5H3Kj83yC81qcD+K/EKp/m6WX347XMA+7k5cDo/n8lkcOjEqK3fELR8/d6rlmBkPI3VF57NvNoEfti3iL52frtrK8sxlppCYtzc77Ca+4gc/62rqtAcU+tqb8J9Fs//NkJGDZNCZBuDMoOW/zDjV9Q0OGNwDHL+GKsT/+VEF34vFi62jVec7HYBmXbDWnV+MjvLRDKNv8zaaZldPubEyAR2/Pq3+Nt/Pei4zW6tuKmt1JeblYmuYluVExRk0r5ZrGje7HvzO9delJIRiaKvDZe3Gw7KjaWnDe+JklBNZzLo6YipalfWHe7EGNk6g0Y6FRnnzdp2Q3VhfLOzw0vW2OflxE8Q4wwhJHz44YvsxC9Z+rZuxgkr5Xn1chPR9yq/T51fajIb9l+J2zjN183qw22fY3ag3mhMSy03Bz7Kz+/92Rs5xw9Z+Q3BzNdrPG9PEPEjporoa6u1u7u9Ceu72rBxex+S6WlTv8NK7iNio0N2X/uTCxpzxtRmx8JPpdAYFbtpQlYNk4+QbQzKDFr+4/6rl+De597Evx04Mfv3no4Y7v7SJ1CC08cIaJXYTiTTpudvnPovp7rwc7FwsW28KjV+i/f09PSgulrOVShBwsj5JZJpR+8X1cZDJ0bRNzCEQydHdb9DcSxKSYobnnwVN/7oddzw5KvY9Mx+LJlfL6TNyoqblR2xnL87WXFzbHgcrx4ZQld7k+rrVie6im1VTrFhRRdOv8es5q28V+lcZ6Po9smX3kVHcy0WNddKl3wpKPrqbGlQLRMFnP7dJ06lDO/JseFxbNjeh8/8zQu4+rt7sG7FQnTn+QFZd7gTc5hJer3CSKe/G5nAnTv244KWBjy+bjkeu+4ibF1/MZa1NOCuHfst+Rortt08p7LAJxjt8FJri8yxrz4awaLmWlzY2ii1fyOEkCBip5/6u5EJvBsfw9pLWrF1/cXYcHk7opEyV/u2ergVJ9TyboXs8rwKarmJG+MA+X3q1NSM7vuHx719HqS4cJKvm9WH2z4nO/de/dhL+Mxfv4Cbt/fh2PB4wXuNxrTUcnPgo/x8l4X8PB/m6+FESwevHhnCC785iYO/O+XK+JXTvrZWu3f3D2LbnsPo7W6bvZbI3EAvNpsZ/1Xra1/U2pAzFv7kS+/i0o+dIdyOZdYwOY1MY1Bm0Iuj33xmH86bV5fz910H47hzx3483fdbzTgHmJ+/EZHnitCFyBhkZd7AqT8KGr7u7L7nnntw0003IRbLveE///nPfWpRuLC66kTv/a8eGcJwclJouRqrq2qMHEt+B9rJijORK27ySyIDzks5F9uqnGLCy9WyVnyElfeKKNHiZ/k3RV9Gg3KJ8Unde3LiVAr3Pvfm7Huyd7jfeGk7qirKUF/NMsRBx43OoF37N9LpcDKNL1/SWrCbuqu9Cdd3tWFwzFzMzO8smLHtfJ9gZ4cXYx8hhBQnVvu1x4bHces//DpnwqarvQkPr+3Exu19Qncm+V2yWCvvVmL7xu19BZ/Jz03c2sWV3adOTWmXTQaA1OQMEknuFiPukJ2vK8fodLY0IDU1g6qKMt1SqEb6GBxLn6725aLPsbOLz2hMS81vrDi3yXEFBubr4URNB9mVujY9vW9WWyvObUKkvBSNNRHHMdFpX1tPv3v6B9Hb1Tb7b5G5gZMxMTt9bZFQw/Ijw4IEK/mvng539w/i+iwdKij6fHRnv+5udTPzNyLyXJl0YXXewO8y6l7jyWT3yMhIwd8ymQz+6q/+CldccQUikdM3ta6uruB9xD5WnZ/W+5UE5o5n99kuZZSPnWTdyLFUVZQV/M2JgxdVni/bqaqVnWk/oxbzLN5Dt0qtE3/xuhSNFR9h1Z84WTDid8lJRV/ZZR/ViEYKfU42apPhyg73rbsP4/9s7MHUTAbvxMdQV5325Tw34hzRSa8T+zfSaSYD1d3Uyr/v/uInTLUxO67lDxhOTM3g7IZqLIjllgPM9wmTM/rnK6nFb8Y+QggpTqzkobP5tEas6+0+PXAmYiDQ75xVIT/GVlWU4bl9x2fLs+aTn5vo3V+n5/cqfepEMq155ElXexNeemcQZ9ZVMRcmrqDk61rH6PR8OOBrZ9PF9EzGdZ8zOJbGBS0NWL9i4ewE/esDQ9i6+7DuQL3emJZafz1hUGHBzG9gvh5O1HSQXanLzhFVZnDa17a6aUpEbqBMAo6mJnHf1UuQnprBWGrK9JiY2sScMo706M5+PH/LKixqrnXcTi2oYfnxe+LV7c2L+X83mpA2mr8RsTjArC7cXgRrd97AzzLqXuPJZHdjY6Pq3zOZDD796U8jk8mgpKQE09P6q32JNaw6P633G5UatTMBZ2dVjZ5j6W5vQqw2gmikLKdDL8OKs2ynqiQo2Tx74wossHBGkOI4N36mA1+/dBH2HBrE1t2HZ8+ZCeOqnGLB67NxrPgIO8mUnQUjMpw9o6x6e+E3J9HV3qRaynxlRww1Ef0QqkyG508GVleUoak2gvueewP/9tbJnGt6PThKnCOyM+jU/o10mgE0S/Pv6R/EtMEEtIIS16wOGGb7hEMnRnW/Qyt+3/6F87FuaBwlJSWzg3zLFzQy9hFCSIixkoea3cXltJ8oQ86aTXaMTSTT2Ht0WHWiWy030bq/Is7vzW7f3V/6BO7csT8nF8negf775zVrft7vHfQk2Cj5+rKWBtWxrV0ONl1Mz2Rc9zkZAH0DQwWVmZSd43Yn6PL763r5eTRShsZoxHDhS7HtICsW1HSQXanLjXFjwHlf20i/+RscnOYGIhbB+b1rN1vDrx4Zmh3LAoCWxqir303M4eeCBDc2L2ptNMr+u5bdm8kPRSwOMBPbvFgE62TeQNSmTtnxZLJ73rx5uPDCC/Ff/st/QWnpaUPNZDL4/d//ffzwhz9EW1thuQLiHKvOT+v9dkqNGmEneNdHI3hg9VLc9vRe7M7rIK/vasN/+7ffzK6aBeRZcSZyxZWa4+zpiOFnN3ejBECToE4/BxP8QWRSa+YZWvERXiVTRoH7+MgEALhuj/MbqvH5JWfh0+c2YfOO/QXJykNrliEaKdO9JzWRcs3JwO4P/dZL73wwOxDp1+AocYbIAR2nC16MdJpMT+l+/6nUlKkSokpc0xrU0BswNNvWfJ+iFf9+vrEHjdGKnO9hDCOEkPCQSKZRXlqiuSs4P2aY2T0iInf1epGqFazmJlox2ezkhdm4WwKgs7Uxp8pZ39Hh2R3oWv1iWXbQk+CiaOLd+JjlsS29nPWz5zdjzCC/dupzEsk07s5bJALk7hwXtclD67dGI2XYuv5i3PHsfuzqN9ahsoPsxKkUEuOTiEbKUFNZblgZjchJIpnGTCaDx9ctz1lwnL0b041xY8B5X1tPv13tTeg7OpxzTSe5gahFcF7s2jWK24qGh5KT2PzsPqG79Ylz/FxU5MbmxWwdKuTrU83ujfJDxc6nMxnT/Qg99HZHe7UI1qifMziWBk6OFvUYmCeT3Xv37sUNN9yA++67D//zf/5PnH322QCAkpISXHLJJVi8eLEXzSg66qMR3H/1EnzzmX05k8Pd7U24/+olpldgGmFnVZnd4J2ensGFrY24XqODfN2nFgCQa9WoqElCLce562Ac9/z0DWGOk4MJ/iEqqTX7DK0kSF4lU0aB+52TY3jgHw94Yo/KqrdHLZ51lj0ZvvnKxaqDhLv7B5EBchboAP4PjhJ7iCoJ5HTBi5FO1XZ45Xz/+CRu3t5nqC8lrjkZ1LDiU/Ti35079uORtZ2zf2MMI0HlwIEDUl+PED9QfPprR4bw8NpOzGQyOTmVWswwyqcbqiuE5K5+77wywkpuohWTjc7vnT2r2GTcbaqJYO/RYdVravWLZdtBT4LL/IZqvJ8Y132P1qYLNX189vxmbL5yMd4b0r+mU58TH00XlEhX2NM/iJsubRe28Fzrt26+cjG+u7M/Z6Ib0NfhWHoa9z73JnPygKPWt1KqCpSWlMz+TasMsYKTmOikr61l08rmg43b+wCIGdcStQjO7Y0mVvrLm3fsL/A/jL9y4FdZarubF7XGfu6/egnue+7NnPdnV/1R3pdv90b54ZZrluK2p/dh18H47CakTCaTMz9mR/dau6O9WgRr1M85NTGJP/z+L4s63noy2T137lw888wz+N73vodLLrkE3/nOd7B27VovvrqoSSTTuPe5N1Unh+977k1859oLCoSm5ixnMvplTe2sKrMbvBPjk5odbqUtz9+ySqpzB0RNEnrhODmY4C8iklqrz9BKgpT/3rrqCtRUlmN0Ygp9A0NCdlCaKW/jtT1aPess+/5d1NqATU/vU/1sdlm7bPweHCX2EFESSMSCF6PVpkYr283oS4lrB46P6LbFyJbN+h+z8Y8xjASR8cQggBJ85StfceX6kyn98zcJkZV8n75xex96u9tmc6fWuVE0z6m0tHukpyOGRc21OLOuynJb8ndA+X1eohms5CZ2zu+dPavYZNy10y+WeQc9CRaJZBpRg2OotHSrpo/aqnL8xd//Ghe0NGgefWXX52RjNLFQWVEqVANaY4JafVo1HTInDwdaz7FvYBhXLkvh99rmzu6W1CpDrOA0Jjrpa2vpdyw1hR9/9VPCJglFLYJzc6OJFW0y/sqPH2Wp7ea/emM/37n2AsRH0xgeTyM1OYOX3hmc3dSoZfdG9nlkMDn7ejI9PduPuPHSdlRVlKG++iM/IGI826tFsGarVRRzvPVkslvh61//OlatWoU/+qM/ws9+9jPPvvexxx7Dt7/9bRw/fhyf+MQn8N/+239DT0+PZ9/vF/HRNP7twAn824ETmq9rrezOT1RFrypTgrfaCsEbL2tHMj2NepWjQIycalNNBIuaawv+7ndJU6srrtTa64XjdCOZ8fveBwkRSa2dZ2glQcp+77HhcfzF3/9a6GptK4Fb7beItjcz19O7f0Y7adVWQMswOJoNNewdtVXlmuWVutubUFWhP4igoGWTWj4mf+WsGX8/v6EaYyntso1G5/rl21VbrEbz+8zGP3bISRCZTJ4CkMGFf3Qrzmg7T9h1j+/7Jfb/9AeYmtIvr0qIrOT79GR6OmfR8/O3rLIU65R82uqkk9YOqC3XLPXtvEQ1RORr+fmD3vm9gP5ZxflxN7t9m69cjEhZKRLjadRU6veLZd9BrwZzZ//Jfgb11RWIlJVi0zP7dCemjXSrpo9dB+OzlScA5Fy3pyOGb9nwOfkoY2DRSNns2bmpqRlUVZTh9YEhNOrYll1bzP+tfQNDuu/P1yFz8nCg9hyzj2m777k3Z6uu9B0dtq0tL7AzKWhVP2rj1dm6nZzJ4JDJ8sJGC9jtxhgr2gxi/CXu42STlt44VXa+eGZdFX7/vGbduRMj+5zKZBCNlM2OySr9iEd39mPnf1mFqooyoePZbiyC1dK6mTE9oHjncTyd7AaAxYsX4+WXX8Ztt92GJUuWoLra3e30P/nJT/CNb3wDjz32GLq6uvD9738fV1xxBd588020tra6+t1+4zQwKcY9mprEvVctwZ079gtdVVYTKcPnl87D+hULc3ad9z7xCpYvaFRdfWLHqf7/7P1peFzVme6N35pKUknWYBUidrBsYSnB4AHRJiSWZIaEvCFxGOJDGoc+x0aQ96TBuLs5+YchmPkwdNJJv5gmJ+lg4EPw6ZMGmyHJ6SaQ4IFMBiW2CQmWbSwTG+QSUsmlkrQ1/T/Iu7yras+1h7V33b/r4rqwqmrX2rvWcz/PWutZz9I65/Ohq5bgjNkqK+ouoSXq2SJSUVqMu194KyNJYWVrDN/8wiLd6zuxQOZ0MMNystbJtxSNVwGplYxQK47SiuPOvhen+5sT1zOzU11Jvue5OR2Q0Ia94+jgCO56fh/+x2c/nlNeqf1kmbV7XnhLtSqLFWSN+cvgCN7tT+UcByJjRisaZ5XbOtevCMA3LPQrMwOHRErC2MQkHr/2vPTk3+adhzTvyY69BD3oJ2JT3diE2U0fd+x6Q8fedexahPhBPjFtvvG08oy/+198S7WE5z0vvIUHr1qCO7bu9fy8RGU7+4clTAO4J6vUqBPxmtHYO2VwVrH8G2XHk/JRP+c11c38zicr4ao9syDsoFfC2Nl/sn+D9Ze0oLt3ALt6+jUXpu3YraxRyh1jyvPom2ZHMceB3zxWHcGlixrx159owpO7DmUk/XS0NOCa5fNUP+dkX7Rqh2r6rVz0MzpTlDG3GKj9jl0dzRnHtMl9f3lTPS5fOhf3/yS3dL0oR0xaQct+HrxqCaTJKSRGcvtmts9UJgbYOfNabQ752OAIfvnOcTTOKsfYxBQGUuP47aEPcdHHTjOlN1ZiKyO7r4iUIJFi4kqh4WblAfn62XPJB+PDOfZm1D9Liorw6Jq2nHkuwHplIjPkW6lVK0kvey3r/isWoz5alh7n9A/PjHXU5vSAwlzH8XyxGwAikQi+853vePJd3/nOd3D99dfjhhtuAAD88z//M/7jP/4D3/ve9/DQQw950ga/yGdgqDUg/eYXFmFEmnSkzEs8KeWUQlIGwO/0JTG7KpIhZtmiKr9/xZkNqCwrxuDIOPpOjCE5NoGayjJUl5dqnvN523N78MjqpfhovXcL3tmoiYh8dszrB/rTIrV9fxyX9Q66vnvAyckElq4yj9pgTq1CgRm8mhAyygh9f2gUtdGILUcpT1AeS4ziYHw4vRh327N7MrPZFcG10/3NqevJAc/uwwM5mfgfJEaw72gi47nYDQ7dCEhow96hfNZ/c8F81eNH5MDViZ0QtdEI4kkJN/7oTc33mNEKrYGO0bl+ly2ZY6lfGQ0cKsqKsX5LN3bsjyNWHcEjq5fisnM+gs6WGKrKS/HB0ChufXZP+p6U9qKMIyKlxajPijtkwhD0E0JIkMg3prVb2vEvAykc7k9hcGQcTbOjWNZUjzd6B3Mmj15+uw+3f36R6+clai36yH5p2by69EKeErPxmt6iktGEplEFIzkZLXteQZ78V84FaPlUt88udRLGzv6j9hu0zatLLzSpLUyfGavCnNoKy7+NUqOyK08AM9UnnKA2GsE9l5+Dbzy7J8fOd/b0446te3P6ltN90eh4iPKs6lPZ+q20+807D6XHxe/GhzGvPorTa04dScGYWxzU/LDSnoDMvh+NlOBnGzoxMTXt6RnCTqNrP8/twXUnj1M5lhhFX7QMTbOj+Gh9NMdnZicGKK9z67N78MCVi1FXWWYpEe/whym8tOdoxjXbWxrQHKtCNFJiWPlwdjSSsds1G2VsZVR18aU9x7DnyCBtswDx4rxwI18gJ4J9fE5NTsWTPx5N4FcH+9HdOzMPm+2frVQmAsxX/LSbBKCXpKdkx/44vrltL1YtnYsLP3bazLpBXxJf/v6vNK9diOs4ni52P/nkk6iursbVV1+d8fcf//jHSKVSWLt2raPfJ0kS3njjDdx2220Zf//sZz+L119/XfUzY2NjGBsbS/97aEj/PEqRsX0utkrnTkmTuP25vVjZGnOsc2dnlJnNepNFVZnFvnnnITy6pg3ffvmdDDF45oYLNAVsZ08/DvenUF1e6oqxGomhlojs7OnHNJAjyPe/9Ef8dEOn4zvslTg5meB16aqg2q7TgzmvJoSMMkLfGxhBXTRi21HKf3/wp2+nE1v09GFEmnS0vznVf2ujMwtvhz9MYdOr+zPaLmflXfyx0wxLOKphZtdRPgGJVzYcVNt1EuWzTo3nTpYp8eKsHytaYedcv7UrFmi+pnXUgtbA4cGrluDuF95KL3T/6IZP4r6X3sqIBTpaGvDvX/sUqiKlGb7XbNwRlqDfSWi3hASTINmuH4uc732Ywq3P7cmZRNbaGTI0Mo4zT6t2zQfo7Sy758UZ37duxQLNuMEoXjMzDjEqpWr0G2XHk3qT/0qf6naVOTdwM3YOku36idpvkH1sVPbC9LYbV9j6XbzUqNHxKdXy0IB633K6L9ZGI3jwqiU5u8zaWxqwdsUC3PP8W/jmqkWYnp45WjD72ch23907qBt7V0VKQhdzB9l21fq42jFsMilpEgMpCec21XvRPNfQs5+dPf3424tacO0Pf5P+W0dLAx7+0lKcMTua4TPHJrTH9Tv2x9HTl8TTr79reu5vMDWOTa/uz9EC+d8PXrkkwz60fPzmdeej66nf5cQ02bplpupiSpoMrG3qEWS79Qq7SaVmMDv/snHV2bh9696ciicbV52Da3/4a8STErpOJqfIWKlMBOjHylWRkpx1H6tJAEZJetns6ulHV3tz+jkEeR3HLcwd/ugQDz/8MGKxWM7fGxsb8eCDDzr+ffF4HJOTkzj99NMz/n766afj/fffV/3MQw89hNra2vR/8+aplwQKArJjWtma+cyNBoZmOrcTZGcJGg18E6lT31sbjaChKoJ7XphZ4NH67OCI/qLA4Mg4jg2NZlzbCY4OjmD9lm58+juv4arHX8en/+k13LylG0cHR9Lv0XvOu3r60TavLuNvKWkSQyMSNq1pwyu3XIhtN67AK7dciE1r2hwpjwXY7zNqeH2+SxBt18iB2+mXTv6GelSXG+dKDQznpyXKezHUhxH9a1ntb07232ikBP/yao9qVt5dz+/D/IYqLGy0NlGq1JgjH6ZyFrpl8tFsr2w4iLbrNMpnnV3aPhunqjM4qRW10ZlqFOc21WNhYzWSOmd5A0BZaTGikRLV17T6lTxxkO3/pMmp9LEfj6xemrPQDcxMSty5bR8OxIfx/tBoWpfMxh1exUVBgnZLSDAJku16FdPKJFISbn8ud+fkrp5+PLlrZidiNnbP3zvQl0R37wAOHE9qxvt644Tbt+7FWXNqAOgvPADaftXKOCTbz2fv/Nb7jbLjybZ5dYaLdso494p/eR2ff3QHLlsyB//x952ujIGdws3YOUi26ydqv4FbsbXbGqXUig8N5gWy+5YbfXFqaho3XbwQP7rhAjx+7Xl4Yu1ytDXVY8OWbvz8T3246/m38Fz3X3Dzlm4MS5N4RPFsZLs3ir0HU+Ohi7mDbLtqfdyrsWo+mPWzWhjZTyJrnnlnTz9u37o3/T2yzzTyz2MTU5bm/oalCU3/uaunH8OKBTw9H/8vv+jBxlVnZ/xdS7fkMfjP/q4zx+6VlUiDaJt6BNluw4CZ+ZdESsI3t+1Tnfu576W3cM0nZo4uVtqh3M+NdKrq5Hy3nh3d+uwe/HTf+znrPsPSpGrMbOVezWqHvPgc1HUct/B0Z/fhw4fR3Jw7SJw/fz56e3td+96ioqKMf09PT+f8Teb222/HLbfckv730NBQoEXNTmkJtzu3nKWdGJGw5asXYNeBfmzeeUg3c2X7/jj+MjiC+LCU3iGtFAStzxoFYuWlxTh4fBgP/uRtx0qvmM1AMnrOauJWVV7mavYU4Fw5Eq/PVwui7bqVNeV2SZmjgyPYfXgAnS0Nqous7S0N6D4yaPgbm9ESZUlzPX244/POnmk/OxrBE2uXZ5TCUZ7/a+V6fSfGcso5y9j5nbM1xigQMjoTTQuvbDiItus0ymfdfWQQ7S0NqgNZp3eJaGkFABzoS5o+Jy+7kolRMoze+Ul6/UrN/x2MD6f/v7GmXHMCYGdPP2697Cy8N3Aq6cwo7pAH7VbOAi8UaLeEBJOg2a4XZRJl4klJM3lQ3kWhxI5PtlLRSW+cIO/oBoCKMvXkMZmq8lJVn+7UOMToN6qtLMP6S1rSJSarDGKExMh4ete6jBtV5tzAzdg5aLbrF2q/gZux9dy6Snzr6mUYGJYwNDqBmspS1EcjOL2mIv0eO+dPZ2vFE2uX674/u2+50ReT0gSGxyZx/dO7VV9XVpqQ572UZ4oCxrH3sIXddkEh6LabrfH1UbGPltDys4+sXoqoyi5MNVs0sh+1eeYdKn7T7HXM+NxEaqayqd6YVPn/RjHEXavOxiu3XGg6tjo6OKJ7BFoQbVOPoNtt0NFaL5GPoBubmMRfBkd0NxDKcfuZsSpsu3EFqspLESkpRt+JUdRUlOnOZ0dKZmzTbCwuY6cKiZ0kPfl12e6Cuo7jFp4udjc2NmLPnj1YsGBBxt//8Ic/oKGhwfHvi8ViKCkpydnF3dfXl7PbW6a8vBzl5eWOt8VPrC6Outm5tc6ofvTk7iw93u1P4cYfvZmeEEiOnRIErcUevYGNvCDXNq/O0bJIZicOrAZQXgaOTiyoe116MIi262ZiiVtJEfJC6xuHB7Dtxnbcm7WLUlnSaNWSObrXMqsltdFIxoKWGiXFRY71t6ODI7hz276MBWplCcvl8+tNX+/o4Ah6P0zpvsfq75ytMUaB0InRcXz5+7+yXB7fKxsOou06jfJZy8dyAMiwLbd2smVrhdWjFdTe/9CXlqCzNabqC9tbGjTPT7LTr5S+NDmqf3Zo9utGiSKDI1LOhLtaOdugBP1OQrslJJgE0XbdTvSVsZKIbMcnWz0Sw0x7opESxKoj6GhpwE6V8W5nawy7Dw+ono3t5DhE7zeKlBSju3cg7e+NFu2ikZLAllB0M3YOou36gdpvIMfWRUCGnTgRWxvFzXaOLFPTCqsL9m70xWFp0tRuM+CUraZ3tfUlM17XQuscYZkgxtxhsN1sjbd7Lq3baPnZ3YcHcPjDFP7l1Z6MOR4tWzQ6q7r7yKDq92f7TSvX0fO5ajqiNiatrTxlH0Y+fnhswnS5eTO7toNom3qEwW6DjNp6SfYRdI9fe57uNcYmptDe0oC9f0nggubZ+Oa2fWkbikZKTsajRTnzvte1N5+sHFpla5Oi1VjVapKeUjuUdhfEdRy38HSx+5prrsGGDRswa9YsrFy5EgDw2muv4e/+7u9wzTXXOP59kUgEf/VXf4WXX34ZV111VfrvL7/8Mq644grHv88MdrI6vW6HW51b74zqoqIifNNgZ6Yy6+22Z/fg/isWp1+LlpVkZIzLmW7/+7e9eHj1UhRrCNgzvzmc/ptTg2ezEwd6z7kjK/ARIXC0ita5TkG8F7dwO2vKDb1RLrT+7K1j+MKSOehqb8bYxBTKS4vRfWQwvSBcX5W/lsj3YLSgW1Jc5MigK61TPaeCoK6O5vSxAlu++knTGXLytbKz/bKx+jvLGiO37bRZ5Ya77AHrWYZ65yTThp0l+1lv2NKNro5m3HRRC8rLilFXGXFtJ5sSqxPxHwyN4t34MNZ8ognXtTenM8zvf+mP2LzufADIuFZnSwOu62jG+mdmBuXKXXJ2+5XSl1ZX6O9uq64owa4D8fRCvJGujI1P5TwLecAhL9QHIegXJfYkhBA1RNEoo7h8/uwonv3bT9n2yVZ3Uhu1p66yDF0dzfjnn7+Dde3NmEZmklxnSwNuuqgFXU//Lue7bnt2T04J02ycmLhOpCTcvnVvRruMFu2Ki9Ur8Ml4tXvMTr9k7Ow/ar9BSprEv/22F4+sXorR8SnHqkRkx83KcePbx4aQHJvAG4cH8MbhgYzPaZ1PL/e10qKinM9YTYZ1oy/WVZZhyOCYQGVsrbRVOV43ir2ry0vxxNrlKCoqytm5GoSYu1DwsuqKFbT87H+/8EwcPJ7EuvYFWHNBU8bOaLUxrmw/2ePiztYY1q5YgA1bulW/P7tyiZkzr2W0fK7W+HxXTz+KAfzv//eTeG9gBPXRMtQoFrudnGscGh3X9d2dtE3iMGrrJdnHYBj5k9rKMlzX3oy3jiZyYtGUNFOl5M4vLMLffaYVfSfGMuazX1zfASDTjpQ+Xl53ilVH0sfzKV+TJiaRSJlbX4pVR9LzU/J3LG+qxxeXzsEDL72tupa1YUu3Kz4xLHGsp4vdDzzwAA4fPoxPf/rTKC2d+erJyUmsXbvWlTO7AeCWW27Bf/2v/xXLly/Hpz71KfzgBz9Ab28vvva1r7nyfXrYyer0ox1udW6j8g+VZSWms962749DmpxCZ2sMbxweQF1VJCNjXP7Mw6uXYtub7+Gh1UvQ25/C4Mh4WsCe+c1hfOWC+RkBhhODZ7NBhd5zfvCqJZAmp/CZsxqFCRytcnRwBPe8+BaWzavDuhULMDYxhbrKMsxviAp3vppfuJk15ZbeKJM5vv/aQTy6pg2bs87dkrXi9JqKvLREeQ/rL2nRnRhrODkBle+gS6lT2ZmDyu8z8xzlay2bV+do6byairKMtsmTH1OA5i57GatJPaIOZMOICM/aykT80cER3Prvf8hIslBmmHc99Tv8+9c+hXUrRtPJMB8Vz1i6AAEAAElEQVQMjaIIpyaxayvLsO3GFXndq9KX9g2Nae5u62hpQN/QGDbvPIQXbmrHvS/90XDQ/vpB/XK2QQj6RYk9CSFEDZE0yigReXJ6Gv/rlwdw7xWLbem+1Z3URuOE+Q1RAMBjr/bg1wc/RFdHc0YC6mmzynHND36tulNy9+EBlJcWa/pMpybQ1OIKo0W7kXH/d3bm0y9FiOcKHa9+AzPjRrXdl8CpuHpYmlRdUMv+TEqaTCfDfvPziyBNTBnel9PPoXFWOXYfHtCOnbPm7LJ3nN13xWK8fiCu8/kYXtp7LP38siuriR5zFxpeVV2xgpqfjUZKcNk5c1QrEsr9S21+pAjA5xd/JD2XWV5ajKryUvxw+0FVv9re0oDdhwdQVV6a4SdkO+w7MZau+CcvqJlJ5NCdR+/px7oTY+ny4ko/5eRcY01Fmabvbm9pwP024yJCtFBbL8k+BkN3LqclhtHxGb+5aU0bvvvy/pz3pKRJ3LF1H55YuzyjRL/SPmQ72n14QNXHd7Y04LGvtKEIRfjhzoO25o1roxHcc/k5+J8/+SO+csH89HfIC99/e9FClBQXYViaxJu9A677xDDEsZ4udkciEfzbv/0bHnjgAXR3d6OyshJLly7F/PnzXfvOv/7rv0Z/fz/uu+8+HDt2DIsXL8ZPf/pTV79TDau7pfxuhxud22iAnxiRVBfGOlsasPGL5+BQfBib152fzsAbHpvAPZefg98c7Me3/uNPOQK3q6cfRQAeWb0UH62PYlZ5KY4lRnEwPpzepZk96HBi8GwlqAiDiKih7Gc/f7sv4zXRz1rzErcSS9zUG2Uyh3LQLU+unRmrwpzaivT17fbx7Hswm82eU/7x5LqanfNSsjMHZcw+R/laWm3vzGMn68ZVZ2e0Tfk7ADOLiL9857jqmchWk3pEHMiGFb+ftdmJ+FMVEHL9LnBq17N8/IiS9paG9Ov10QgWNlabapveDitZZz4clvDAlUtw57a9GZP3HS0NuOuL5+Ar//prtDXV4Sf7juHzS+bg/AX1uKrto7jnhbdyJrTvvvwcfHHTTs321FaWCe/LRIk9CSFEDdE0Sisu72yJ4ev/z8fR9dTvEE9KGJuw1zaru6xqoxE8snopfvnOcTTOKk/vIvlgaBQXf+w0fKSuEh8MjQKYicmzz8F9/NrzNEsCd3U0474X31LdEd7R0oAHr1riyLNXiyuMFu0SKcnXEopO9Eu/4znizW9gZtyYHRsrUTufHpjZCDI1PZ3zGdnOrzr3ozh7bq1qm9TiZbOxthG10QhWtsTQfDLRJrOSRAzXdSzA+mdmkqzVbDUxIuF4cgx3rzoH97/0Vk7C7J2rFuGqx19P/21XTz+Ki4rwsw2dqIuW0aaIIWp+tqujGfdnLXQDmbaZPT+SSEnY+Pw+nDWnBo01FQCAoqIi/PpgP/7flc0Ym8ys/qXcZPCz+fWqO8VroxFUlZdanvuzUkY52085NdcYq45g+fz6nLm/8tJi9J0YQ300XCXMiX9k+7BvXb0Mw2MTGBoZx/jUdMZ79RIw1rYvwM0n50LNHr8BqM8vP7x6KV5757iqj5f92GVL5tieNwZmpq2vvWA+nlJ8h+zzH3u1B52tMTxwxWLMjpbhqnM/6vq6UdDjWE8XuwHgiSeewHe/+13s3z+TVdHa2oq///u/xw033ODad95444248cYbXbu+GayWLROhHU53bqMBflV5WcbC2EBKQnlZMfa+l8CV/7IrPViXM/DkEi0fO30W7ti6T/WaO3v6MTo+lb4fAHjwp2+7Oni2GlQEXUTUEKW/BwE3Eh7cfP7ZyRzKyTWtRAY7fTz7HrIX1msry1AfzS0jme8OIaVOZWcOKjHzHOVrqSUFlJcWo+W0altVDmqjEZzXVJdx/mL2JOcTa5drtj1s5ykR5zA7Ea+nMfKuZ0C9tJRyV7RZn2vGrpU6809fPhcfDktIjIyjqrwEfUNj+Mq//hof/8is9ERESprEK7dciIWnVeMxFQ3uH5Z0zw2sD4Dvpi8mhIiMiBolx+VygrRcEWzNv57aIW23bXZ2WU0D+OmeYzlnjF74sdMAALWV2m3QK+8ox7ivq+wI7z4yCGlSf2LQLFpxhd6ind8lFEXsl0RMzI4blbGxEr3z6bU+oxc/e1EpY2xyCr9590Pc+rmzAACj41OIlBTjl+/0pY8p0rLV6vIyfPfl/fj+awfR1dGMdVm6c2xwNCf23rE/jompadocMYWanzVjm9nzI/3DEq75RJNqpYalZ9Ti1s99HOtWLEBVeSmGxyYydmrr+Qk7c39G4/NsX6/8fqfmGpV+OXvnKisuEKfQ82FnnlaNA33JjPdnz7PWVJSlS+4rN/0YlTufN7sS//61T6nOLwMzdrt8fn3G/KuSHT39WKfirwHzcWNDVQTvJ0ZVj6YETvnCc5vqda9DZvB0sXvjxo347ne/i5tvvhmf+tSnAAC/+tWv8A//8A9499138cADD3jZHE+xWrbMzXaonTMg75Z2sx1mB/jyhPUHQ6O45f/8XnPH9j99+VxUlBbjUHxY93uV9+TV4DmsO7bNIkp/DwpOJzy4+fy9siGtnSBycL3txhU5Wepa5wdbyahT6pRRBqDRc1ReK3sxWk4MsIveIpwePOuM6FFdUYpnbrgAgyPjGbGBPHEl9x0zGebZx49kY1Yv7OywOr2mAqfXVOCdD07gyIcpjE1M4ZHVS3MGPrINa2mwnzvLnIC+mBAiMqJqVG00goPx4ZzKJEqUlU7MnutsNYY+VUVF2//pja/7ToxpviajtiMcAD5zVqPmZ6xgt4yqn2NpUfsl8QYrNm1l3Jj9upnz6bPRG297VSkjMTKO7768P10SVjm3+O2rl2FBQxQfPXk0YjbK55WtO+0tDZrfSZsLHlbsyEnU/KyRbQLI8UUTU9O6lRq+/tmPY/OuQ2hrqlf1oXp91urcn54f1RpvZ8+BO/HsC32Om7iLGR+mZgtyHLuyNYZvXb0M/78f/yHHVrqPDKKjpQFv9g7mrIW9nxjBq3/qw4Wtp+lWQUmOTei2X09nzPiw2mgEEYNFefpC83i62P29730P//qv/4o1a9ak/3b55Zdj6dKluPnmm0O92G21bJlb1FaW6Z4lJO+WduW7LQ7wk6MTqmcvADM7tpOjEzi9sRpn1OtnqWY/W6+cdBh3bJtFlP5eqLj9/L2wIav3YHR+sNmMOqVOGWUAGj1HNxMDjJ7PGfWVOYEgM2+JHmqZtLIN/dtve3Gf4iwuo/5XV1mWc168kqbZUdNVDfLZYVVSVITrn96teW09G/Z7Z5kT0BcTQkRGZI0yaltNZZmtXZRWYmgz/m9hY7Wmr7r4Y6fhwo+dpvqa1fGzXfLxpX6NpUXul8RdrNq0lXGj8nWz59M3zY7ilVsuNDXe9qoiQbZ9ZCfMvHLLhZYTfjpbY1i7YoHmuIE2Fyy8qDCgR7afrSgr0X3/GfW5yRlTU9Oac9G7evpxx2XFumNdJ/uslt0oS6e7+f3ZbQnCGJgEj3xj3kdWL8XpNRWqr//52BD+55VLcDQxgsd+0ZN15vbMERxGa2FWKywoMWuP9Qa2RV9oHk8XuycnJ7F8+fKcv//VX/0VJib0sySCjt2sZqepKi/VzFCTd0u7iZUBvtms6o/UVFh+tnTS7iJKfy9UvHj+btuQlXswe36w2Uw4WacGU+PobI2pBl1mn6NbiQFGz+cjNRXMvCWm0cqklc/K+/bVy3D6yfPKAP3+19kaw4JYFe5+fp9qBYKVrTE0zio33bZ8dljlq4VBz2CnLyaEiIzIGmXUtqryUnz9x3+wtYvSbAxt1v8Z+Sq11+T78OLZB82XitwviXvY3RltdtzYclo1tt24wtL59I2zyk3biVcVCdyIrasrSnHn1r2a4wbaXHDwqsKAEUo/a2RnH1GMcWVSkv76xOjEJP7tt72e9dlsu6kqL8XuwwMZFcvc/H5C3MapmFfr9dGJKTz+ix6VM7fjmMa04VqYke/rOzGm+jkr9sj40zn00w8d5m/+5m/wve99L+fvP/jBD3Dttdd62RTPkbOxVrbGMv7u9Q4hM7ul3aY2GsHCxmqc21SPhY3VmvduNqtalGdrlkRKwoG+JLp7B3DgeBKJlOR3kxwnaL9J2BDp+dvt71buwej84LZ5dQCsZcLVRiOYH6vCIw48R7OaZwUzz8eN7yXhRM+GduyP58QGev3vH09m7d97xWJHNCifHVZOaGHtybObZp08Ayo+LAXGb4vkCwghJBuRNcqobcnRCcMdKPlixf/p+Sq1eNDrZx+kmFTkfkncw8yuMi3MjBvnx6py+r+Tfc2rigRW2qw1D5CtB6fXVDg2biD+ko8duYUdO6ut1O9zdZURT/ussiz8rMoyNM4qx4UfOw3L52ee30ubIUHFasyrF1OqvZ4cndA8D9vMWpiRjlz0sdNM64Geb2T86Qye7uwGgCeeeAL/+Z//iU9+8pMAgF//+tc4cuQI/tt/+2+45ZZb0u/7zne+43XTXEeErOYgnUFlJatFhGdrBr9L+nhJUH6TsCLC88+3v5u9BzPnB9vNhBPhOQaxbSRY2IkN7GbVWu2ffu/ODrrfpk4QQkRGZI3Sa1t374DuZ50YU1vxf26XVC80+GwKDyfmyez0G1HiZSuYabNVTaLNhQNR55ut9i8z9lQbjXjSZ7Vs6ZHVS2kzJDS47cO88PFm7NHIN9IXOoOni9379u3DeeedBwA4cOAAAOC0007Daaedhn379qXfV1RU5GWzPMXv8tlBOoPK6hlffj9bI6yU9FFm7tVUliFWJfa9aSH6bxJ2/Hz+TpWw0roHpY1URvTPYaqrLMsrE07kfixy20hwsBsbGPU/M/Zr5OOsxgJ22qmFKKX48oU6QQgRGZE1SqttXoypzfq/fHyVmWcflnGpVUTul8R5nLJpO/1G+f6h0XGgKPfvZq6Rb7xsBb37tKtJtLngI/J8s5X+pWVPna0x3H35OegfPrUT080+q2dLt560pYWN1a59PyFOoxVTuu3DvPDxRnpg1jfSF+aPp4vdv/jFL7z8OqJC0M4ACFNWi5mSPrXRSOB3kRECmO/vdsi2kfWXtKCjpQE7VcrSdLbG0uXRCCHqeBkbBGn3mZs6RgghJLh45TfN+D8vY26A41ISTvycJ3PKzkSZO2P8XLgEbb5ZD6U9DY5IGBufwusH+/HFTTuRkiY98YW0JRIm/NzVLII20Z69w9Mzu4n/BPEMAKPzGIKCmbIZRpk+QTknlBC3Slip2cjmnYewrr0ZHS0NGe+Vzw/mQjch+ngVG+Tj4/yIBUQtxUcIIcRfvBxTG/k/L2NugONSEk78midz2s5EmDtj/Fy4BHG+WY/aaASx6gj++ef78ZUf/gaPvdqDlDQJwBtfSFsiYcGsr3PLh4mgTbRn7/D8zO4wErTSXqJkfDpBkJ69mbIZXmf6BOn5BR2rzzrov41bJayUNhKNlKCroxlt8+ogTU7hHy79OO6/ogwnRsdRVR5cXSPOEnRb8oqqSAk2rjobgyPjqI6UIBopRV20zNFnpWW/YxNTqCgrwWBqXKjfRuRSfIQQ4hdh9qtW7k2UMbUXMXc22ePSMPcJkj+i9Q+t9vhh00GLjc3A+Dm8yLaTHBtHXTQCaWIKybEJ3+zIC23xczcmbYm4jVf+2S87yr6/b129DGPSJJLSBIalSdRVliFqcCymU9CevYOL3XkS1NJefp0B4KSQBu3ZmymbcTA+rHsNJzN9gvb8gozVZx303yaRkjA1PY0n1i5HUVER3uwdwOadh9JZsPmUiZGz4aKREjy6pg1P7jqEx17tSb/eeTIzLwjPibhP0G3JK/SeU23Uue8xY7/3X7EYiREJ1RX+T4aKUO6KEEJEIsx+1eje9M4Z9BO3fJXZHShh7hMkf0TrH0bt8dqmrYxtRUsa0ILxcziRbeeNwwN4dE0b/vE//oxdimPkvLYjNVuWx5L1DiZs+7kbk7ZE3MRL/+yHHWlpxE0Xt6Drqd9lzE97EZM4Yc9BiQP8hmXM84ClvaxxdHAE67d049PfeQ1XPf46Pv1Pr+HmLd04Ojhi+VpBfPZmymZ4lekTxOcXVKw+66D/NrKdX/rd7bj+6d3oeup36O6dGRBFIyV5l4mRbaSroxlP7jqUMcACgB0BeU7EfYJuS17h5XMyY7/f3LYXL7/dl1eM4BQilLsihBBRCLNfNbq3vwykHBvHOo1bvsrMuDTMfYLkj2j9Q7T2AObHtiJrUDaMn8OH0na0+qqXdqRly/JY8qf73nfMNvzcjUlbIm7htT/02o70NGLTq/vR1dGc/ptX2pWvPTu5phZ2uLM7D3i4vHmMhHTTmjZLzyqoz96opI9XmXtBfX5BxOqzDvJvo2Xnu3r6UVxUhJ9t6My7LLJsI23z6jKy3pWI/pyINwTZlrzEy+dkxn539fSjq705/f12YgQnEaVMLSGE+E2Y/arRvR3uTzk2jnUDN3yVmXFpmPsEyR/R+odo7QHMj21F16BsGD+HC6XtiDAPo2fL8ljSKdvwe3c1bYm4gdf+0Gs7MqMRSrzSLrv27PSaWtjhzu484OHy5jEjpFYI8rOvjUawsLEa5zbVY2FjdYYgeZW5F+TnFzSsPusg/zZ6dr5jfxwTU9N592HZRowQ+TkRbwiyLXmJl8/JrP2OTUyl/99OjOA0en6bEEIKhTD7VaN7GxxRf10EHyXjtK8yMy4Nc58g+SNa/xCtPYD52DgIGpQN4+fwoLQd5ThNDS/syMiWxyamHLMNEXZX05aI03jtD722IzMakY1XMYAde3Z6TS3scGd3HvBwefMYCU3/sAQcT5o+byCszz6RkjAiTeLvP9OKO76wCCVFRSgpLkKDw+cwhPX5iYjVZx3k38argGluXSWGxyZ03+P2cwryWSlBbrsVgmJLfv8eXj8n2X6jkRJ0dTSjbV4dxiamUFFWgjd7B7B55yGUl2bmYnKynBBC/CcoftUORveW7ZeUiOKj3IgnjHagBKlP+B1vFSJG/aOirATdvQOe/R4i9ld5/qemsgyb152fjoXls0RlgqBBJLwobUevLwL6duSUDpv12U7OP4mwu5p+rLBx8vevLtdfDnTDH3ppR3biepFi1mxETNYTGS5254Hf5UyChJHQnBgdx5e//yusbI3h4dVLMbeuUvf9YXz2RwdHcspSyM/DafEP4/MTFavPOsi/jZcTCI2zyn17Tnq2aqRdfhPktlslCLYkwu/hx3NqnFWOzevOx6ZX92eUwWtvacATa5fjt+9+mPF+kQcehBBSKATBr9pF7946W2PoPjKo+VkRfJSb8URtVHsiMih9QoR4qxDR6x8dLQ14ae+xdBzoxe8hWn9V65ftLQ14dE0bNmzpTi94B0GDSLhR2k73kUG0tzTknNkN6NuRkzqsZ8vtLQ1pe3HSNvR8oRfQjxU2Tv7+RwdHsPvwgC07zhev7MisRsiIFLOqIWKynsiwjHkeiFDOJCjIQqOGUmjk8wYSKf0SDGF79kbnLxg9D6uE7fm5QSIl4UBfEt29AzhwPGn7N7D6rIP82+jZudPBg1/PyWtbdZIgt90OotuSKL+HX8/pX17tyRlc7erpx+O/OIDp6cx2ZGuHU/pMCCHEHImUhP5hCXdffg46BfWr+aDnCx+6agn+fGxI9XMiTI75GU+IHmsB4sRbhYhW/+hoacC69mZs3nko/bdC669a/XJXTz+e3HUIXR3N6bbpadClixpRXVHKuJi4itJ2Nu88hOvam9He0pDxHj07kvv7G4cHsP6SFjyxdjkev/Y8rGtvxmvvHLfcZ7Vsub2lAded1BYR/LNT0I8VNk7+/vK17n/pj5btOEhoaURnaww3X9KaEX8E4Z69mmsPyzwbd3bnSRGAy5bMwdoVCzA2MYXy0mL0nRjzu1nCIQvNbc/uyciskYORDVu603+TzxswEpp8S2CIVALGzPkLTrdNlFI8IuJ01qTVZx3U30bLzt0KHvx4Tn7Yqhp29EuUtnuJyLYk0u+hfE7DY+OorYxAmpzC+0OjSI1POu4f40kJO3rU731HTxzr2hcAUNcOZrUTQoi3KHVXPoLiby9ciPKyYtRVRoTxq/miFzPce8VijE14E99axe94wkqs5cf42+/nU+hk94+KshK8tPdYxs5lGT/7KwAc6Et61jf1+uWunn588/OLcNW5H9XVoEsXNWLjqrPx9R//gXExcZ3s8eKDVy6BNDmF4bEJwzF2PCnhjcMDeHRNG57cdSinstenzmywbG9ye94fGsV7AyMAgO4jg9iwpRvL59db9s8izQ9nQz9W2Dj5+yuvtWFLN7o6mtHV3pxez2o5rRpzBPId+dilnr9/cX2HcPODengx1x6meTYududBIiXhGyrZNcBMh9i0pk14g/ESpdD0D8+IjRyMZA90zJ43YLcEhpERex3o+HX+gt+leETEKGvOrl1bfdZB/W28Xlz0+jn5ZauyJiVPLkRu3LYvY7HQTBBSqOe8uNFHnPARov0e8nPyIsg1uvdZFWV45ZYLc7TDLX0m4aG3txfxuPpkQD68/fbbjl+TkCCQrbspaRKPvdqDx17tCeV4VytmEDl5ToR4wkysdXRwBLf++x7L8Wu+iPB8CgWt+FjZP7p7BzIWurLxo7/6McFr1C+liSmcPbc2/W81DaquKM1Z6AYYFxP3sDuuHhodR1dHM57cdUi1stfG5/fhMRv9VW7PR2oqEE9KaKiK4IplcxEpKUbfCfNJ26Iv8tCPFTZO/v6T09N4Yu1yjE1MoaKsBG/2DuBmxZrMthtXYD6q8mqvUzhhl1qaFUTf6OZYJGzzbFzszgNmV1knLTR9SXz5+7/SfJ+b5w0YGfFDX1qC257ba1pQnVj04PkL4kC7zp+gLtRno2rbld7bqjLIW39JC7p7B3IGiWaCEOqMMzg1GBbx9/AqyDW694aqCBY2Vuf83Yo+i5ydT9yht7cXZ521CCMjKde+Y3wsmKW8CLEL4+JTiBrfehlP2PWtiZSUs9ANzPShW5/dY2uRwywixlthxGx8LNrv4dcEr53nkK1BB/qSjItJIKipKEPbvDrNRJcdecYT+SRti7TIo2Wnoukm8Ranfv+jgyO4/8W3sEMxl9je0oBH17SlNyHK1/LbZ4hklyLh1lgkbOM9LnbnAbOr7COfN7BdxZjcPlvFyIgP96dyXt99eACvvXMcy+fXIzk2kRb7YWnSkUUPP58HyYR2TQDtCZsHr1qCSxc14uW3+3I+k4+tagWT2UGe3iDRKAihzuSPk0G3iL+HE0GumYGR3Xs3q8+iZ+cTd4jH4xgZSeGCrrtRM2eBo9c+tvdX2PfCDzAxMeHodQkRHcbF4uNVPJGPb+07MaZ9fMn+OD4YGnNtEk3EeCtsWImPRfs97MS+TiwCOPEcGBeToBCrjuDd/mHd9+QbT9gdp1vVALcWAfXsVDTdJN7ixO+ftg+VygoA0NXRjD1HBhGr9qbSnxFuLr76vZAvImEb73GxOw/sZtcUgmEZ3aPXZ/sqMTLiwZHM16ORkvTZMrc/tzf994e+tAQ/3XNMNUPd6qKHn8+DZCJq1mQh6IYo6A2U7ti6Fw99aQnGJqYMbdXsb6YXTI6OT2b8fWxiSrftekEIdSZ/nAy6Rfw98g1yzQ6M7N67GX1OpCTc9fw+LJtXh3UrFmSU6Lr7+X349tXLHFmwJ+JSM2cBZjd93NFrDh1719HrERIU3IqLqbPO4UU8kW+yX/b4OpsjAylUV5S6MokqYrwVNqzEx6L9HlZjX6cWAZx4Dmbj4tfeOY51KxZgzSea0jHx5p2HdG2XGk2cpDYawRn1+vZhJp7Q65d2x+lWNCBf+ze7wUHZbtlORdJN4i1O+As9+9jV04+bLmrBtZ9oAgAhdlQnx8ax/pIWtM2ry5jP2bzzEFLSpOXF10Rq5jjdaQD3PL8vY9GfyV/iroPYhYvdeWAnu0aEDBm3MXuPfp19ZmTE5aXFGf/WOlumcVa5Zoa6nUwjkc+CCytqwaaIWZOFoBsiYTRQGh2fMrRVs7+Z0cDmzlVnZ/w9W5+yMQpCwqIzfk3AOJ3xKNrvkU+Qa3Ui3M69m9Hn/mEJ13yiCU/uOpRRBaG9pQHXtTejf1jfN1NvCSHkFG7ExdRZ5ykCcNmSOVh7MsmrvLQYfSfGHLt+vsl+VZESw+9wcxJVtHgryKjF4FbjY5F+Dyuxr9NlVfN9Dmb0eSA1jpf2HM2Yy1KWrVWzXWq0/4Qx2eAjNRV5xRNG/dLuON2sBuRr/3rtH5EmDX3swsZqYXSTeE++/sLIPirKSjCnrtLS8RhuUlsZQXfvQM58juy7rCy+yra3bF6d7SMh80V0TRdxHSQfuNidB7XRCB64cjHu2LoXOxXG0tHSgAeuXKxa7kiEDBk3sXqPTp03YEU49Iy4szWG7iODGX/TKhuczw5LI6aBmVkL4hpaweYjq5cKlTVZCLohGmYGSgsbq9NZuPGkhIPxYdRUSohVzfwWZn8zo8nDqanpjL91HxlEe0tDToAGqAchWtoY5D7j5wSMGxmPXv0ebpYXBzL7cjRSgq6O5oxM3MHUeM73Wb13M1nNH5wYU01Qk/99zxfP0bw+9ZYQQjJJSZO48eIWTE5PZ+hqp824mDrrPImUhG+oPFNgxj868UzzTfaripRqxq+drTEUF80cG+bmJGrQ418R0IrBv/mFRbqfM3P+tBpeTA6biX3ldnyYknBdezOWzatL7y6TsbsIkE+/NIqLAWDjtr2aMXFXR3OO7VKj/SesyQb57E410y+tJq7I2jK7Sl8DqitKcaAvmZf9G7X/7z/Tqtt22U7pxwqbfH5/I/uorZx53Uq855aPTqQkbNy2T9N3bVx1tunFV6XtrVuxwPaRkPlgVdP9WBgXrepOvnCxOw8SKQn3vfRHnNtUj+vam9NZ1N1HBnH/S3/MKZUZtgPf1fDjHq0Kh54RP3jVEtz74lsZ79da1M53h2U2YQ1qRUQv2Lz1ZLAsStZkIeiGaJgdKGnZ7H1XLMYbhwdUP5v9mxkFkylpMmPwtXnnITy6pg0AMoI/tSAkjJri9wRMUDMe3S4vDpzqy8qjP5SDCXlhJN++Z5TVPDU1rTqZDszYzGRWAokS6i0h4vD222+7ct1YLIampiZXrh025EXUNw4PoKujGV2K8W7fiTFETezWzYY66zxePNN8k/3qomXYcEkriouKMtra3tKAGy9qQXHRNP7lK+dheCxYZwIWEnox+GW9g4GtAGEU+6akyZxkEuXuMuWClx9nWurFxQf6kjnns8rs6ulHV3tzju1So/3F77Gu29jdnWqmX5odp2drSzRSgs3rzsc0kKM3D1y5GN/cuhc/f7sv/Xc79m/U/js+bz1hiBArmLWPfOdCnfDR8aSkWUV3V08/7lp1tmkdVNqemxsWtbCq6X7O4YpUdSdfuNidB/GkhJ+/3Zfh+LJfV3YKkQ58dytTxOt7tBsM6hnxvVcsxtjEqcGO1qK21R2WbtwHsYeZYFneues3IumGk4hcxsVshr+WzW58fh+6Opo1swaVv5mZDEvlBExKmsSGLd3YuOps3LXqbIxIk6pBSFg1xe8JmCBmPHpRXhw41Ze1jv7YYdD3rGiCXlZzSprQbadyUiKbsOotIUFiJNEPoAh/8zd/48r1Kyuj+NOf3uaCtwmUPlctpvnEgtmW/Z7IOitybKqHF88032S/2mgE8+or8fnFH8E6Ran17iODuP7p36GtqQ5fWDIHZ8aq8m4rcQe9GPz+l/6In27oxF3P73MkPvZ6HKMV+wLA+i3dOe1Q7oxWamO+Zw7bRSsuNtIGADm2K7JGFwJ+j3Xdxm7/N1t5z2icrqYtKWkSXU/9Lj2/Mjw2gVkVZaiuKM1Z6Abs2b9R+0uKiwKZUE+Cg9l5rHznQp3w0Ub2MqIzn6N3LbsbFvPx21Y0XYQ53LBUj+Bidx5YDQRFOfDdzUwRrXuUS5pWlJWgu3fAscA+n2BQy4izBzv1UXWx37zzEDavOx8lRUV5D+rCHtSKRpAGcaLohpP4ma1mJlAxEwjqnWUjl8jRQvmbmQkma6MRy4uPYdUUEWw3aBmPdvqCnSBX7staR3/ofZ+TmlBbaTDhXqmtmWHUW0KCxnjqBIBpnPuVW3Fa81mOXnvo2Lv4zeZ7EY/HudhtAjd8rqg6K3psqocXz9SJZL+R8SncvnWf6mvyLlNpUn/XDfEPPT1ISZMYGpEci4/9GMeoxb564z25z8o4ceZwvmRrSXW5/nTvGfWVOfcsqkYXCiKMdd0in/5vtl8ajdO1tCUlTeL25/bi5X9YiVkVZRgaHcf41JTmxjar9m/U/pLiosAl1JPgYWYeK9+5UCd8tJN+SHktsxsWlb60KlKKN3oHcP9Lf0xvmrDit61oeljncP2Ai915YNUARSh/6namiNo9apU0zRYIOwN9t4LB7MGOmtgvn1+PBbOjjgzqwhzUikiQBnF+64bT2ed+ZqtZGWAZBYJmMuXVyP7NzE4eWl18DKumiGK7Qcp49KovyH357WNDlr7PaU2IVUfQ2RpTHSh0GmhmrDqCSxc14uNzajLOG3+zdwB/PjbErHpCPKS6sQmzmz7udzMKGjd8rt9xrRrZfkhO0m6bV4e3jw1heGwCjbPKhTjHTw2vnmm+yX5G8cjYxBSGx/SrsxD/MNKDqvIyx+JjUcYxZvos4NyZw/k8OzUteehLSzRj4pWtMdSdXLRQjvNF1OhCQpSxrtPk2/+t9Es9HTKy6SMDKXQ9tRsA8Pi15+m+14r9G7W/ocreBgdCrGLGT+c7F5qvj3bSDymvZeZISDVfmn10gRW/na3pyjHG2MQUKiIlSKRmFrFFiX3CABe788CqAYpQ/tTtTBHlPe4+eb7bRR87DYmRcVzfcSbamuqxeeehHIEYliZtDfS9CgaNxN7vc9CINYI0iPNTN9zIPvcrW83OAEsvEDSy2TPqK3P6mNZvZmby0GrSQVg1JUi2Kwpe9oW5dZWGE9VmzwaMRkqwdF4djiVGcTA+bCnZ5qaLWzA1nXl2d3tLA266uEX3c7XRCDauOhu3b92bkZzX0dKAB69awskGQkhB4YbPFWE8nI3SD5lN0nYCpxa/7D5TOwmt+SxmGsUj5aXFgY1PCwEvY3BRxjFG7VjQEMUrt1xo6czhnInuk0mV/cP2x8BaWnL/S3/E5nXnowjI0Qa1s4hlnXtk9VLcKpBGFxJhHevmOwfkVOygtGk1W2yaXYlYdQTxpGRY8tiK/bu1wYEQt8hnLjRfH52vvWfHtw99aQnueeEtvPx2HzZs6UZXRzNuuqgF5WXFqKuMpG1Yy5eqHV1gdu5aqelGYwxRYp8wwMXuPLBjgH6XP/UiU0S+x4HUODZuy5wwVsuIGUyN487n99ka6HsZDDoReGhNKoQ1qBUVESfa9PBDN9zKPvcrW83MAEt+n5lJPyOb/UhNhaXfTE9f7CQdhFVTgma7IuB1X2icVW7p+9Q0IZ/Fhr4TY+h66nfo6mhGV3tzxrmgXU/9Di+u79Cd+P/mtn05pa129vTjzm37AnvWPSGE2MEtn+v3eDgbpR/q6mjGk7sO5fgBNyoQOZkAavWZOpHQanWxXC8eaW9pQN+JMSyfX2/qu4n3eBmDizKOMWrHR+tyy4BrMTQ6rhnftrc04Kq2jxpeQ8vm9Eozdz31O/xsQycmpqbT2qB1FrFS50TS6EIirGNdJ+aAnIgdZJvefXhA1RY7Wxrww7Xn4yv/+mvDksdG9q9mr7QrEga88NF27V0tvu08meB162VnITk6oXktvbg8++gCwJxuKTV96bw63THGt65eJkTsEwa42J0ndgzQz2wtLzNFNj6/DzuyjFgtI2ZYmsjr3O2gBINGkwpBuY+wINpEmxFe64ZbO7D9ylYzGmANjki458W3TE/6WcnOzQe7SQdB0karBM12/cbrvmD1+9Q0we5iw9HBEfR+mEJKmtQ8N1xvUMJzkgghJBO3fK5Iu5eUfqhtXp2m/3DaDzidAGr2mTqR0GpnsVyOD9TKQ958SSsWzI4K0yeIOl7F4KKMY5xsR01FmWZ8u6unH/e88BYe07E9PZszOk99ICXh3KZTiSQH+pKaZxHLOrewsZr26BNhHOs6NQeUb+xQG43gvisW4/UDcVVbnJm//jO6OppNlTzWQs9eFzZW224/ISLglY+2au9a8e2O/XHcsXUvVi2diws/dppmnGr26BIZs7ola/qxxKjuGGN4bEKI2CcMcLHbAUQarBvhVZaslYyYYWlS91pGA/0gBINmJhWCcB9hI0i26zVu7cD2K1PfaIA1Nj5ledLPC5vNZ/EtzJpC27WG133ByvepaYKdxQbZz65bsUC3bXqDEp6TRAghuYTd5yr9UPZEVjZO+gG/EkDzTezKZ7F8bl0lHlvThr4TY0iMzOx0rYqUoi5aFuo+Fia80gNRxjFOtSNWHcGKMxs049sdOrZnZHMbV52t+93ZWsJ4V3zC5ndFqdYAAIkRCR87fRbu2LpP9fUdPXGsa1+AlDSZLnm88QtnY3R80pT9u1UhkRCREMVHKzGzDqVng2aO25Gxqlu10QgOxod13zM0Mo4zT6sW7rkGES52O4Cd8678wqsMHLMZMStbY6ir1D83pd5Em8wEg37+TmYnFcIW1BJriKQlbk3AaWnQpYsacc/l5yCelCyfz2sGvQFWZ2sMrx/MLU8FmKsu4eZv5NRkxDQAFOXfHhJc8umrTpzrmUhJONCXzLmGmiZYWWyQ2/ZhSsJ17c2Ynp7GJWedhlf/dDznc0aDEp6TRAgh9hEpjrWC0g8ZndGZjx/Ifj7VFaW4dFEjXlbZYenm5H++saUTZ69qLegFsf8Q9/A6dnXzOrXRCCIG+iLbXvZ3lhYV4Y3DA6qf2b4/jkhJsaWFRMa7xA30bKU2GsEjq5fil+8cR+Os8vRc7wdDo7j4Y6d5qvXV5WX48wcndN8jj0VT0iT+cGQQ//WT83F6TYWp67NSGCkU/Fi/0NMZM+tQejZodNxO95FBRCMl2LjqbJzXVHdy3loyHRfo+d5oZGbtSzlf1hyrolbYhIvdeeLEeVde40UGjpmMGHmBPRop0T03xYnn6ffvxOxZYoTffTQbN7NvszWoprIMkZJi3PbcXtfuXy/R5+7Lz8EXN+3U/Kyf9pnPZIRofYoEEyf6kdE1sjWhoqxE93pyv1e7bntLA+5adQ4AZCx4d5pI6hNp1wEhhASJoMccsh8aTI2jszWmOlGdjx/Qej4PXLkYADIWvN0uV5jvQpcb49qg9x8iFk71J6f7pdEmjlkVZZrnjT66pg0btnQjpVIVMTEiWdrQwniXOI0ZW5kG8NM9x7CjJ/M9F37sNE/bGquO4IMhczs421sasHbFAty5dS/uvWKxKbvn3C8h7mCkM2Z3ZmvZoN6c8X1XLEZyVMJ/Oe8MbNy2D7c/t1e1DXpo+d5opASb152PO7fty9FHxsH20E8tJLoYlSdJpCSfWmZMbTSChY3VOLep3pXzeGQjVqOzNYaWk6UZ5tRVpgVl46qzdc/otPs8vf6d5N1r3b0DOHA8iURKQm0ls2eJNiJqiWyX2Xbs1AScUoMaqiK4fete1+9fnsh85ZYLse3GFXjllguxaU0bigDViQMZP+1TT0v1JiP0+tStz+7BOx+cSOsTcQ41/Q8yTmiT2WsoNWFObYVhv9e67q6eftz30lu49oL5eGLtcjx+7Xl4Yu1yPHDFYswxGCi4rXuEEBJGRIxj7VAbjWB+rAqPOOwH9J7Pndv24YGrluTEpkb+Kh/sxpYyTu8KdSrWCFP8JQJBfaZO6ZEbumZke9UVpZrnjT656xC6OppVP1tVXqY5zlXTEsa7xEnM2Er6PT3+xwm10QjmN0TR0dKg+npnSwyzqyJ4Yu1ytDXVY8OWbrz8dp/pdrJyAiHq5BNXmNEZPR8r78wG9G1Qy5cuiFVh3uwqbHx+n20d0/K9G1edjX95tUcIfQwL3NmdByKXJ/G7DJhRufTsoHtuXSWWz6/PyI5Rks/z9PJ30so0evCqJb6UqSPBQFQtMaoC4ZTOeHn/WqV2RM1ut3v0hN4z3bE/jiMfpnD907uZLeggYdyV5IRt2rmGmX5/oC9peCbT9U/vTn9u05o23XbKiHj+FCGEiIwIcayTY1+n/YDR80mOTmBhY7Wta9sh32PNnN4Vmm//CWP85TdBfqZO6FEiJeFYYtRxXTOyveGxCcPYNhulzVkpKct4l5jFyL+asTkAvscJSj5aH8XDX1qas+GisyWGte0LcO0Pf5OzGcJsO1k5gZBc8o0rzOjMwsZqVR/b2RLDnasW4f3EGB760hJDG9TypU7EF2q+d2p62pW1sEKGi915IGp5ElEGJ1YD6OTYhO717D7PfH8ns5MneplGd2zdi4e+tCR9RoQMs2cJIK6WANqO3kmd8fv+8530cxs7kxFDo+OIRkrQ1dGMtnl16XOx3uwdwOadh9LnUMnZgpvWtPl+n0HGKNM0SM9X6fPKS4ux/pIWbN55SLX6gRnbHDDIRNW6hlG/N3MmE2DPjv04f4oQQoKK33GcG2NfJ/2A389HjXwWupyOm608n5xzz8tLcdfz+0IRf4lCEGLafM7sNLI3WU/WfKIpr+tooWd73b3q53Jrke9YlfEuMcKMfzVjc9MG3+OHHzxjdhSPnbTFxMg4RscnURkpUV3oludVxiYm0d07oDsvLPrcEiFquLlh0om4wqxvl33s+0OjGEyNY2JqGr862I+rHn8dKWkSnSePTqiNWr8Pp+L5bN9r5Pt59IF1Qr3Y/T//5//ET37yE/z+979HJBLB4OCgo9d3qzxJPiIj2uDESgDt1vP06sxboyyf0fEpZs8WGGZtOWiljpzWGRHuX/TsdquTEbWVZXh0TRue3HUIj73ak/57e0sDHl3ThtKiovTfmC2YPyLsanMCrTOwtc4JNLLNREqCdHLRWQu9a+j1eyPdWNAQxSu3XCiUHWvhdzUeQgjJB1mPtZLsagyOc8oH0ca+aogQ56qRz0KXk3Gz2eejdZbx2hUL8PqBftu78Egmose0+Z7ZqWdvSj1Zt2KB7esYoWV7Rm1vmj0T2zo5VmUMSrQw61+d8HFW7MnJPivb4oG+JL70vdfxxNrlqgvdavMqekl1os8tEaLE7Q2TTsQVVnWmuKgIybEJFCnmPYGZChN2xwcirlkRdUK92C1JEq6++mp86lOfwhNPPOH49d0oT+JFaQevHazZYMTs87Qa3Nj9naxOnpjJ8nHjfHQiJlZsOWiljpzWGT/uX6kjtZVlqCovRXJ0IjQD/aryUjy56xB29fRn/H1XTz+KAFyXVQaP2YL5IeKuLau+Uu8MbADo6mjOGeAb2WY8KeH1g/1ob2nI6YvAzCS1W779o3WVgbBhUarxEEKIXWLVEVy6qBF//YmmnMngjpYGXLN8nmvfLeLYNxsrca4VX+j3IpVTu0LNPB+tGGXH/jimpqdzYhQZxrfWcTKmdbqPmpmfyWdcqdST7iODmvFrPnarh1HbG2eVO2rjjEGJHmb9q16/7WyNobSkCBVlJY74Qbf6rKx7anbf1dGsOq9ilFTHygkkCHiRNOpEXFFdUYpnbrgAgyPjGRUrU9JkhoaoJka2xPDMVz+JG57+HeJJyfb4wK1566CtBwSBUC9233vvvQCAp556ypXrO12exMvSDl5hJRipjUbw4FVLcs5NUT5PO8GNG2feqokjs3GIjFVbDlqpI6d1xuv7V+qIMlNXOYARcaBvZSIlOTqhOjkDADt7+tHVcWbG36hP+WFW/72amLbjK/V8XvY5gWZtc2h0HJt3HsKjJ8/LVvbJ9pYG3Hv5OZ77dpEIwo5EQggxojYawT2Xn4NvPLsnJ/bY2dOPO7budU3PRBv7qmHWX1nxhW4vUnm5kG7m+RzoS1o+yxhgfGsF+TefmJrG5nXnZ0wkKzH7TN3oo/mc2WkmPlTqiVb8mo/dGuFlbMsYlBhh1r9q9dv2lgasXbEAl/1/O9C+sAEPXLkYd27bp9q3AeBAXxIDKQnjk1PYdaA/YyHr4dVLURUpca3PymN5Nbtvm1enmkwlf7cISXWE2CWelPDG4QGsv6RF9fhDJ/p3vmsletUH/+23vbjvisWojeokRvbEMY2Z2OaaH/waKWnS1vjALR8dhnkt0Qj1YrcdxsbGMDY2lv730NCQ7vudLE/iR2kHN7EaQB8dHME9L76FZfPqsG7FAoxNTKGusgzzG6KYU1eZV0Bu5XeSB3r9w9bOGVVm42SX8auPlqG6gubmJlZt103s2HKQSh25oTNe3X+2jtjN1PUaqxMpRoPTyrKS9ETWn48N+ZotKJLt2sVMNqbTk35aE9F2faVRn6mtLMO2G1dYss2aijKkpEls2NKNro5mdLU3Y2xiCuWlxeg+Mpi+D7u+vSpSgvuvWIxhaQIpaRK1lWWO73pxkyDsSNQiDHZLSCHilu2Ojk9pJtm5qWcijX31MIpzrfhCtxep/NjtafR8jGKUqvJSPH7teRkTtMvn14dqN4ybftfsMTZmd2C61UetntlpdVyp1BO1+PXMWBXm1FZYtkUrySNejYmDHIMGjaDGzFb8q9xv+06MoffDFICZXdKyfrz8dh8A4FtXL0NydCKjb6ekSazf0q2pP7I9bVx1tmt9Vq5Q8/E5NSgtKsLXP/tx3HZZMQZSEspLinU/a3XRzO+qLMQcXtutX/0iOTaue/zh8Fj+SaP57FzWqz5YXFSEb1+9DKfXVADQ92s7e/rxt6MT6UpAdscHbvnoIK0HBAGuvmXx0EMPpXeEm8Wp8iROZKaLVP7ASgCtFLCfnwyEZFa2xtJGn09wY+Z3Ug70nli7XPe92eIoZ+Pc/fw+1TJ+Iu4UDRN2bNct7NpyUEoduaUzXtx/to4EIVPXzoSR0eA0JU3g+qd3o6OlAQ9etcTXexTJdu1ilI0JwNFJP72J6BFp0pavNOoz9dEIFjZWm24jkKkV2Xa2sjWGr3Y02/btes+gNmqpmb4RhB2JWoTBbgkpRNyyXb/0TKSxrxF6ca4VX+jmIpWfuz31nk80UqL72eGxCdz4ozcBzEzQbl53PhbMjvoewzuJW7Zr9hgbKzua7caiRlhZfLMzrszWk5Q0mY5f5Tkp5TXN2OKwNGmrepHbfTfIMWjQCGrMbNW/1kYjiCclXP/0btXrvfx2H267bCJjPJlISfiGCf3Zvj+OwRH3+mxtNIKNq87G7Vv35hzFsnHV2bqftbJoxqMDgoOXdutnv6irjOAf/+PPqscfAsCDVy7J+zvy2bms52d37I8jOTqB02tm/m3k1xIj42ibV5dxlJ4d3PLRQVkPCAL6KUoCcs8996CoqEj3v9271Z2rGW6//XYkEon0f0eOHHGw9fo4kZkui8jK1ljG3/0of2AlgDYzUHA7IM8e6MnntaihNXkyt64SD1y1BE/r7BRNpPR3jFtt84G+JLp7B3DgeNLRawcNP203m6DsMrGLSDpjlWwdGZuY0n2/CAN9I33sOzGWowPVFaXo0NCv9paG9K7anT39uHPbPl+1QyTbzQc5G/OVWy7EthtX4JVbLsSmNW2YU1dpyseZxWgiOjFirSqJjDyhoYbaTh4zvseMVtjx7YbPICC+MMi+Iix2S0ih4Zbt+qVnQY5JlVjxhW6OiZ2MV5wikZLwZq/2uLxTEdcCMxO0j/+iB0XFRaEaJ7tlu0bH2Hx+8UcyYlrAvVjUCL1YtbM1lnclPat6YmZiXdR4NcgxaNAIasxsx79a9U9G+tM2ry797yqDpKd8+mwiJeGb2/apHsXyZu+g7hi5tLjIlJ8Jy/i1UPDKbv3uF9KkdmWmXT39kCb150vNojdXpocVTTHya+WlM0ugN13cYrLV7sB1HPcJ3M7u9evX45prrtF9z4IFC2xfv7y8HOXl5bY/nw9OZaaLUv7ASgBtRsDsBORWSoFkB1pmz2nKJjk6gR0elPFjVmAmftpuNkHaZWIXUXTGKtk6Igc8Wng90FfTrKRB6aDeD1MZGdQrW2O4c9UirGtvxjRyz0m+rr0ZG7Z0p//m9w52kWw3X7SyMZ2cmDaaiL7j84t0P6/nKzd8uhV/e9HCnHPS8jmb0Egr7Pj2sJReDLKvyNdue3t7EY+r/4Z2efvttx29HiFhxC2f66eeBTUmVWLFF7q5SJVPvOJWCc54UsL9L/1RdVze3tKAjV88B1f+y66Mz2zfH8eBviS+8sPfpP8W9HGyW7Zr9JtLE1M4e25txt/sxqLyUW8VZSXo7h2w3E+Mzga+c+te3HvF4rx+Yyt6YmSL0UiJsPFqkGPQoBHksa5V/2rVPxnpj3JjQlWkVLXPRiMl2LjqbExNT9vSFUBf0+5/6Y/46YZO3PV85nnjna0x3HhxCy57dEfGUQ9afiYs49dCwSu79btfJMcmVP8u++vxySnbdpWNnZ3LVjQlVh1BZ2tM9XnKG34u+thp+G+bf4sX13f4Ym9cx/GGwC12x2IxxGLqWVVBx8lD6UUof2AlgDYjYFYD8nzPuM0+p2lWRRkaqiKGkydelITys8QcMcZJWxYZEXTGKtk6IldwUMtm9Hqgr6VZ912xGNFISXoQZcT2/XEc+XAkQ7+ikVKkpImMs7OUiLCDPcw4OTFt5GNKiovy9pWdrTG8eHMHigA0KAY1dn2PnlbYmWwLS+nFQvEV2fT29uKssxZhZCTlyvXHx5gdTYjX+K1nQYxJlVjxhW4uUtmNV9ycvBsaHVc9P7m8tBjdRwZxKD6sGiNnl7zlOFkdO7+5nVg0GilRPRfUaj+ZW1eJb129DAf6khgcGU/3A3l8MzaR/29sVk+MbLG4uEj3837Gq35rNgkOVvyrVf9kdifmytYY6qJlOX02GinB5nXn419e7cHtz+3N+C4ruqKnaSlpEkMjUsaif1V5KXYfHkDXU7/L8D96fiYs41fiLH73CzUbdMpfO4EVTamNRvDQVUtw23N7sFNlw88zvzkMYMam/bA3ruN4R+AWu63Q29uLDz/8EL29vZicnMTvf/97AEBLSwuqq62dO+kVZjPn3MqcdhIrAbQZAbNyPafOuFWe0/TKLReaOq/Ui5JQfmd/EWPCsMskLCj1srayDA9etQR3bN2L7fvj6QoORUBGQOT1QF9Ps+56ft/MGVKKAZxMe1bpRiVK/Xpi7XLN87MAlqpzGycnpo18TElxUd6+csf+OO594S1bZxPq2YxW7GJ1si1MpRcL0VfE43GMjKRwQdfdqJmzwLHrHtv7K+x74QeYmFDPUCeEuEuY9cztsbcVX+jmIpWdeMXtyTvZ5yvjWiVPrF2u+jm16k0cJ+di5ze3E4t2dTTjSZ2j3qz0k+ToRMau/ezrmfmNnbBpI1scGddPVPY7Xg2zZhPv0JtrkdHyT3r6I89zKD9bG0VGn62PRnDntn3Y0ZOf/zHStKrysoxF/wN9SdW5Gfm71TQoTONX4hx+9ws1G3TSX+dDIiWhf1jC3Zefg3teeCsnoVJNU86YHcUjq5ficH8qIyHumd8cxlcumJ+ucOmHvXEdxztCvdh911134emnn07/u61tpvTVL37xC1x00UU+tcoYo8y5IJU9MBtAmx20m71e/7CEZfPqsG7FAoxNTKGirARv9g5g885DmiLi1GKEFyWh/M7+IuYI+i6TMKCml5cuasRDX1qC0fGpmSMSKsvwT18+F8nRCd8G+kaBzze/sChHVzpbY1i7YkFGSXKZ7iOD+MyiRpw1pwZt8+pQVlKMZ756AV5XlKeWCWupOpGSwpycmDbyMfJObDO+0mrAnY/vMYpdrEy2ha30YqH6ipo5CzC76eOOXW/o2LuOXYsQYo8w6plXY28rvtCtRSo78Uo+k3dmYjU9n9+hkfSplwxaSONkM8/Xzm9uJxatKCtRTVYArE/y5jsX4qRN69liIiUJH6+GUbOJd5iZa9HzT1r609kaw72XnwMA+GpHc07Cl3LRWbnQLZdebptXh7GJKRwbGk1/Rg+rY0s7GhS28SvJn0RKwtT0NJ5YuxxFRUXpNQtlWXy3+4WaDbbNq3PMX9tFqS2yXf/thQtRXlaMukr9irsfrY+itKQ4XQGmbV4dAKQrwPhlb1zH8Y5QL3Y/9dRTeOqpp/xuhqN4UfbA6QUCswG0lYVxo+tNA+juHcgQ6PaWBjy6pg0btnSriohTixFelITyO/uLENFQ0y0Aqnr58tt9GJuYwqY1bRnVGk6v8bTJGRgFPiPSZI4+lhYXZZwRpeR//7YX//61Ffjmtr0ZOtih0EG185jDgohJYU5NTJv1MWZ8pbLfZU8OVJSVYGp6OuP9dn2P2dhFJD9LCCGEWB175zuOtuoL3fB3VuMVu5N3ZmM1PZ//wJWLcf9Lf8y4rl4yKFA442QrsbDV39xOLNrdO5B+n5mYU4985kLcmE/TskXGqySsJFIS+k6MoffDFK5rb8ayeXXpRTqtuRYt8hkjZ49l7ZZetmqrdjSIekCUqPlo5ZrF8vn1nvWLbBscn9L3x24vymb7abmyz2Ov9mBlayztp/Vi7tNrKjA5NS2UvXEdxztCvdgdRtwue+D3AoETg/ZESsI9z+/LKbkh/7uro1lTRJxajHC7JBSzAgk5hd5Z128cHlD9jGhlYswEPtn6mEhJWD6/XlUH/sdnP46N23J1cGdPP4qKivD8Te0oLioKZak6kc/CcWpi2ikfI/c7rcmBzpODAdn/2/U9bsQuLL1ICCHEbaz4L7/H0U5iJV6xM3lnNVbT8/nfvnpZxt+rK0px59a9qsmghTJOthMLW41RrcZhVmNOPfKZC/G6jCjjVRI2jBbpUtKkZVuyO0ZW+p98Sy9bsVW7GkQ9IIC2j97V04/ioiL8bEMn6qJlnvaL7IoJeri9KGvkp/uHJQxLk4Yxt2j2xnUc78g9yIgIjZtlD/QGRbc+uwcfnCwBIzrxpIQdWQGOzK6efqw4s0FXRGqjESxsrMa5TfVY2FhtWwiduo7WtR9evRQrW2MZf2dWICk09HRr4/P70NXRrPq5aGRmB8GBviS6ewdw4HgSiZTkRZNVkQMfNbQCHz0dOK+pLufsKpkd++MoLipyXJdEwcwkVhhwwsfI/U5rcmDHyckB2Tbs+h63Ypd8nkEiJQlj/4QQQsTErP8yWlxMpKTQ+h07MaydWE3L52f//fSaCtx7xeKCHid7FQtbicOsxpxG32t3LsSPMqJ24tWw6gUJNnqLdE/uOpQx9+JFSV6l/2mbV5ejKzJmdc+sreajQW7OE5NgoOejd+yPY2Jq2td+YSeucxIjPz05NW0Yc8uI5H+5juMd3NkdMNwse2AkuAf6kpicmhY+M91IGMvLikMhIqJlKRHiB0a6tW7Fgpy/yzsK7nvxrYzEGD9339gta6WlAwfjw7rfF+bzYHgWjnnkfvdufNj0uUx2fI9oJZvCtPuOEEKIe5j1X0aLi+8PjeKBn7wdSr9jJ4Z1O1Yr9HGyiLGwnZhTD7u/sWgxqRqMU4mo6Pm6XT396Go/tdjthS0p/c/YxJTue53WvUL3M8Q+IvpoJX6X3Dfy05NT065VaHHb/1I3vIGL3QHDybIH2ecbJEb0s1UGR8Z9LwFrBiNhrKsUt+1WceusNkKCQCIl4UMbWXb5lrhyC7uBj5oO1FToPxcRJnLcIgiTWCIxt64S7ydGdN+TPeCy6ntEKtnk9fmrhBBCgouW/4pGSrBx1dmYmp5Gd+8AJgzON3xvYETI41Wcwm5Jay2ciNUKeZwsaixsJ+bUw85vLFJMqoaZOBUAY1PiC0aLdPKCs5e2NLeuEt+6ehniJ8Z031dV7vzyRyH7GWIfUX20EqtxnZNzJkZ+OiVN6H7ebrKAV8chUjfch4vdAcOpDBu1bJVnbrhA9zPlpcXCnXOrhugDGEJI/sgaprZzW8kZ9ZU5erDizAbbOwrcXvhyKvApZB0s5Hu3S61BEli+Ay4nYhenbK9Qz18lhBBiHTX/FY2UYPO68/Evr/bg9uf2AgCeWLvc1vXV4s6gJllZiWEZq7mLyM/X7ZjT8PvziEm9sM1CrhJBxMdoka68tDiv3Z92bSw5OoGfvfU+2lsaVEuZd7bEsPvwAKrKS2knxHdE9tFKzMZ1enMmVZESyzZt5KdT0qTu5+3GEVbmiYjYcLE7gORb9kArW+X1g/3oaGnATtXgoAGnzSrH49eeB2liEomUuEbud8kNQoi7KDVs2bw6zUHNytYYPlJTkaOXyioW0UgJujqa0TavDmMTU6gomznLW40gLXwVsg4W8r3bxYsBVz6xi5O259T5q2HYiUcIIcSYbP9VH43gzm37sKPnlH/oPjKoPcneGkP3kcH0v7NjT+XYOkixZj4wVnMXUZ9vIiWhtLgIna0x1Qllryb57cSkXtmmUZwa9ioRRGz0xoydrTGcGavCt65ehtNrKixfOx8bGxodx+adh/DoycoHSl/c3tKAO1ctwlWPv46fza+nnRDfEdVH20FvzuTWZ/fg80vmpBNDAfM2rfTTw2PjqK2MQJqcwvtDo5hd5c7clejl5Yl5uNgdUPLZ/aeVrSIHB0VFRRmvd7bEcOPFLbjmB79OZ9CIPujmOQiEhBelhmkNarIDRaXtH+hLAjh1dveTuw5l7PTuPPlZpb4FceGrkHWwkO/dDrXRCB64cjHu2Lo3I+Gto6UBD1y52LHnZid2cdr2nDp/lZm9hBBSOCj914G+ZMZCN6Afj953xWJ8/tEdALRjz5WtMTx41RLc8+JbgYo184GxmruI9nzlhaw3Dg/g0TVtmJqe1h27uY2VmNTLcaBRnKoFY1PiBVqLdO0tDVi7YgG+sGknls+vtzxXnK+N1VSUISVNYsOWbnR1NKOrvRljE1MoLy1G95FBHBscRUqapJ0QYRDNR9tFb85kx/54TiVOK35T9tPZiTByhaXpk98hk28cEYTy8sQcXOwuQLSyVeTgYNtN7Th+YgyJkXE0zirHOx+cwPVP/y6jVEQQBt08B4GQcKLUMLVBzYKGKD5aV6lp/3JG8tJ5dapnd+9Q0begLnwVsg4W8r1bJZGScN9Lf8S5TfW4Lmty4P6X/ohvX73Mt2fptO2Z3cXOzF5CiBV6e3sRj6trVb7EYjE0NTW5cm1iHTX/oIxHv/n5RZAmptITlwCwfH49tu+Po6ujWTX23L4/jtu37sWyeXX4+dt9OdcXOdbMB8Zq7iLK881eyFKO3QCgaXYUjbPKhWirGl6OA412ziqrRGTD2JR4gbxI13diDL0fpgDMVDfZsKU7vaBsda44XxtT2k32cXXtLQ0Z/6adEFEQxUfng9GcydjEVM7frPhNtUSYlDSJrqd+h42rzsZdq87G8NiEI8kCQSkvT4zhYncBopetkpImcXRgBBPT0/jRbw6jq70Zd2zdp/resA66CSFik61hKWkyY1Dzyi0X6uqSnJH8bnzY9NndXPgiYSaelPDzt/tUJ9jl1/3y9U7bntmyYczsJYSYpbe3F2edtQgjIylXrl9ZGcWf/vQ2F7wFQcs/yPHoVed+FGfPrc14TfY7bfPqNGNPtR0wShhrkqCSvZBldezmN16OA/XiVGWVCDUYmxKvqI1GEE9KuP7p3aqvW50rztfG9HacX9fejA1butN/o50Q4hxGcyblpcWqfzfrN7USYVLSJG5/bi9eueVCnNtUb+paRoSpvHyhw8XuAJBISYgnJQyNjqOmsgyxKveyVdpbGrC7dwCbdx5CV0ezoXBx0E2ImDitGyLhRMbd3LpKvJ8Y0X2PUt+48EXCjMjJHG7YnpmyYVZ0Jsx6SwgxJh6PY2QkhQu67kbNnAWOXnvo2Lv4zeZ7EY/HQ7/YHRQttROHyn7nnZNH6WihtgNGhrEmCSoix5lm8HocqBWnAqeqREQjJejqaEbbvDqMTUyhPlqG6gpO7xLvcNKuZRvL7tcVZSV4s3cANZXGNma04xzg7kxCnMZofUmrGolZv+ll/JBISRiRJvH3n2nFHV9YhJKiIpQUF6FB0PEI0YbRkOBkn00A5H9etpmst5Q0iT1HBnHFsrm61yqEQXdQJl4IkXFDN0TCqYy72kr99yn1Laglbahf4iLSbyNyModbtmdUNsyszoRdbwkh5qmZswCzmz7udzMCSZC01G4cWhuNYLaBn6/TmNAXOdb0CpHipiAhwnMTOc40gx/jQK049eHVS3H38/vw159owpO7DmXskBdVM0k4cdKuY9URXLqoUbVfd7Q04Jrl80xdR7abqvJSXR8tgi4SEga0YuLO1hjWX9yC6576Xc5nrPhNr+IHvXEItSF4cLFbYNTOJgCcOS9bmS06OCJhbHwKrx/sTy90y4FANFISyAUepwjSxAshgLu6IRJmdmYaYWXiIoglbahf4iLabyNyMoeftmekM4Wit4QQ4iZB1FK7caiRv53fEM15XeRY0ytEi5uCgijPTeQ40wwijQPn1lXigauW4Ov/5/fY1dOf8ZrImknCh5N2XRuN4J7Lz8E3nt2T06939vTjjq17LfVrPR8tii4SEhaKAFy2ZA7WrliAsYkplJcWo+/EGObWVqB9YQNeVhyVZ9VvehE/BHEcQvThYrfAaJ1NADhzXrYyWzSRknB6TQU+c1ZjzmBdlMDeayh4JIi4rRsiYbQz08znreibEwvsXkH9EhcRfxuRJvHU8NP29HSmkPSWEELcIqhaaicONfK3cwIUa3qFiHFTEBDpuYkeZ5pBpHFgcnQCO7IWBGVE1kwSLpy269HxqZyFbhk7/VrNR4uki4SEgURKwjdUbAqY0YJvXb0Mt102YdtvehE/BHUcQrThYrfAeHk2gd5gXaTA3ksoeCSIBP1MNK+xqm/5LrB7BfVLXET9bUT39SLaHvWWkGDy9ttvC329QqPQtNTI34ro7/xE1LhJdER7bqLHmWYQxTYLTTOJuDhp1170a9F0kZCgY2RTydEJLGyszus73I4f6FPDBxe7BUaks41ECey9hIJHgohIuhEUwqhv1C9xEfm3CaMtuAn1lpBgMZLoB1CEv/mbv3Hl+uNjkivXDTuFqKX0t+YROW4SGRGfG/u9MxSiZhJxccquvejXIuoiIUHGK5tyM36gTw0fXOwWmKCfbRR0KHgkiFA3CED9Ehn+NuGBektIsBhPnQAwjXO/citOaz7Lsese2/sr7HvhB5iYmHDsmoUEtZTowbjJHnxu4YWaScKIF/2aukiIs4TBpuhTw0ex3w0g2shnE6xsjWX8PUhnGwUZWfDUoOARUaFuEID6JTL8bcID9ZaQYFLd2ITZTR937L+q2By/bynQUEuJHoyb7MHnFl6omSSMeNGvqYuEOEsYbIo+NXxwZ7cLJFIS4kkJQ6PjqKksQ6zKWrkF5edrK8vwrauXITk64cnZRvm2PUzIgnfbs3syMnwoeMQNnLQ9u2eaeGn/1Bp3oX6Ji1e/jV82Fkbb1runMJxBSQghTmHXB2RraVV5KSIlxeg7MYrU+KQvviSM/iyIMKa1h93nJnq/F719buLnPCERk+w+UVVeiuToRGDtw8q4yo4W0J8QMoNTvtRJm/LTv3NOxx/c+s252O0wRwdHcOuze7Ajy8gfXr0Uc+sq8/r8wsZqV9ps5rvNtD2MUPCIF7hhe1bPNPHS/qk13kD9Ehe3fxu/bCyMtm3mnngGJSGE5O8DZC0VwZeI0AZyCsa09rD63ETv96K3z038nCckYqLsE9FICR5d04Yndx3Crp7+9HuCaB9mxlX5aAH9CSl0nPalTtiUCP6dczre4uZvzjLmDpJISTk/FABs3x/Hbc/uQSIlufr5fPDzu0WnNhrBwsZqnNtUj4WN1RQ/4igi2J6XbRDhfgsJ6pe4uPXb+GVjYbTtMN4TIYS4gVN6KYLuitAGkgtjWnuYfW6i93vR2+cmhXzvRJ3sPtHV0Zyz0A2Es484YQ/0J6RQccuf5GNT9HGFh9u/ORe7HSSelHJ+KJnt++OIJ/V/rHw/nw9+frcWiZSEA31JdPcO4MDxJAWOhBIRbM/LNvh9v9QVEnb8sjG/bdsORnoQxHsihBA/cEovRdBdEdqQDeNX4jYi9nslorfPLmZsO6z3TuyT3Sfa5tXlLHTLhK2PaNlDNFKCpfPqcCwxSl9JiAYi+hMR2+QmjOnd/81ZxtxBhkbHdV8/YfB6vp/XwkwNfLe+2y4ilLAgxAtEsD2v2pBISRibmMTj156HirISvNk7gM07DyElTTr+XWpQV0gh4JemiKBlVtDTg6pICeJJCf3DEjavO19VqwDx7okQQvzCKR/gti/huJgQdUTr99mI3j47qNl2Z2sM91+xGPXRsrQ2hfHeSX5k94mxiSnd94vcR6ye2apmD8oy7o+92pP+O30lIZmI6E+capOfZ36bhTH9DG73Qy52O0hNRZnu67MMXs/382qYNSQ3vtsuRuUMNq1pE06wCLGLCLbnRRvUtKi9pQGPrmnDhi3d6UUkt+6XukIKBb80RQQtM4ueHtz67B58fskc3P7c3vTf1bQKEOueCCHET5zyAW76Eo6LCdFGpH6vhujts4qWbe/YH8c3t+3FqqVzceHHTsPcusrQ3TvJn+w+UV6qX7RV1D5iZ+FHzR6MyrjTVxIyg4j+xIk2BWERmTH9Kdzuhyxj7iCx6ghWtsZUX1vZGkOsWr/T5vv5bKzUwHf6u/Oh0EpYkMJGBNtzuw1aWrSrpx9P7jqEro5mx75LC+oKKRT80hQRtMwsenqwY38cjbPKM/6WrVWAePdECCF+4pQPcMuXcFxMiD4i9Xs1RG+fVfRse1dPPxpnlae1KWz3TvInu090HxlEe0uD6ntF7SN2z2xVs4dCKuNOSD6I6E/ybVNQzvxmTH8Kt/shF7sdpDYawSOrl+KhLy3BE2uX4/Frz8PmdefjoS8twT+uXmqYoVEbjeDh1UtzfvCVrTE8YuLz2VgxJKe/Ox9ELKtBiJt88wuL8MTa5di87nysv6QF0UiJp7bntv0bDebb5tW5fr/UFVIo+OXPRYojjJD1IBopwfpLWjJitvWXtGBiajrnM7JWAWLeEyGE+EltNIKHvrQEz9xwQYaeXrqo0ZJeuuVLOC4mRB+R+r0aorfPKsmxcdUYNBopATBTllrWprDdO8mf7D6xeechXNfejI6sBW8n+4jT58zaXfhRs4cgl3EnxEtE9Cf5tsmslvh9VjZj+lO43Q9ZxtxhpgH8dM8x7OjJLJ1w4cdOM/X5uXWV2LSmDfGkhBOj45hVUYZYtb1zBqwakpPfnQ8iltUgxA20zun66YbOjHO6vMBN+zfSotrKMtdLtlBXSCHhlz8XJY4woqaiTPNst/aWBly+dC6ikZKcM7pnVZThlVsuFPKeCCHET44OjuC25/bmxLQPXbUEcyyWD3TDl3BcTIgxovR7LURvnxVqKyPo7h3IiUHlY3PkstSyNoXp3okzZPeJmsoy/NOXz0VydMLxPuJGieB8Fn6y772irET3WvSVhJxCRH+ST5uMtGR4bFyIMueM6TNxsx9ysdtB0qUTevKrv18bdebHtWNITn13PsjlDLarZOaIWoKHEKvondN11/P7sGlNm+dtcsv+jbSo3gPdoa6QQsMvfy5CHGFErDqCjavOVj3bbVdPP+5/6S10dTRnTEACQENVBAsbq71sKiGECI9eTHvH1r22Ehqd9iUcFxNiDhH6vR6it88MiZSEjdv2qcagAHDnFxah+8gggExtCsO9E2dR6xOn1zj7HW6dM5vvwo/y3hMpib6SEAuI6E/stslIS2orI0Kclc2YPhe3+iHLmDuIaPX3RTyLwQwiltUgxGlE0ws3EUGLqCuEEJnaaATnNWmf7bZDUbJcRuS4iRBC/CQIMa0IsagdGL8SEj7iSSlng4zMrp5+LDmjFpt3HhJam0jh4JaPd9Iv01cSUrgYaYk0OSXEOIU65R3c2e0gotXflw3ptmf3ZGSOBMGQRCyrQYiTiKYXbiKKFlFXCCEy2SXKs1Ge/RaEuIkQQvwiCDGtKLGoHRi/EhIujDTzvYERLJ9fL7w2kcLALR/vtF+mrySkMDHSkveHRnU/7+U4hTrlDVzsdhAzZVgSKQnxpIShk2eqxKrc7dRBNiQRy2oQ4hRhO6/DSNtE0SLqCiEEMNbgM2NV2HbjCke1yusYkBBCvMDrmNaulooSi9qB8Ssh4cFIM5sbqnLKqjKGJH7hpo9X+uXEyDiikRIUFxdhZHwSiZTk+xEohJBgoBfjG21y8Hru3Uin6O/zh4vdDmJUf7+irBjrt3RnlE9Y2RrDw6uXYm5dpWvtosMnRDzCdF7H0cGRnDNQ1LSNWkQIEQUjDZ5TW+GoXpnVSUIICRpexrT5ailjUUKI31iNQRlDEj9x28fXRiMYliZxz4tvsY8TQmyjFeMHae6d/t4ZeGa3g+jV33/wqiV4/UA/1q1YgMevPQ+b152P9Ze0YPfhAdz27B4kUv6fZUYI8Q6nzutIpCQc6Euiu3cAB44nPdeSRErKccbAzNkn1DZCgoffmuIVXp6ZRJ0khIQZq3pq189QSwkJDoUST9rBimZS94gRbtua22Mm9nFCwoVo/j8oZ2VTC52DO7sdRqt0wmBqHNt+/xfs6ulPv7e9pQGPrmnDhi3diCetl2ghhASbfMspipD1FU9KOc5YZvv+OLWNkAAhgqZ4iVclbamThJCwY1ZP8/Ez1FJCgkGhxZN2MKuZ1D2ih1e25uaYiX2ckPAgqv8PwlFG1ELn4GK3C2SXTkikJNy5bW/GQjeA9L+7OppxYnTc0zYSQsTAbjlFo6yv7HO+3GLIQLuobYQEA1E0xWu8KGlLnSSEFAJmzqDLx89QSwkRn0KNJ+1gJgal7hEtvLY1t8ZM7OOEhAPR/b/oRxlRC52DZcw9IJ6UsCNroVtmV08/2ubVYVZFmcetIoQEGTNZX15QY6Bd1DZCgoEomhJGqJOEEJK/n6GWEiI+jCedhbpHtAiLrbGPExIOwqJJfkEtdA4udnuAUXYGAMSqxc0uIYSIhyhZX7HqSM7ZJzIrW2PUNkICgiiaEkaok4QQkr+foZYSIj6MJ52Fuke0CIutsY8TEg7Cokl+QS10jtAudr/77ru4/vrr0dzcjMrKSixcuBB33303JMn7TBKj7Iwz6iuFLqVACBEPUbK+aqMRPLx6aY5TXtkawyOrl1LbCAkIomhKGKFOEkJI/n6GWkqI+DCedBbqHtEiLLbGPk5IOAiLJvkFtdA5Qntm95/+9CdMTU3h+9//PlpaWrBv3z589atfxfDwML797W972hY5O2O7SjmHla0xfKSmwrO2JFIS4kkJQ6PjqKksQ6xK7DMLCAkSXtqXka54mfU1t64Sm9a0IZ6UcGJ0HLMqyhCrprYQEiRE0hQrBCWuoU4SQgqd6opSPHPDBRgcGUdFWQne7B3A5p2HkJImTfsZaikhYhPUeFIPv2NN6h5Rwylb87t/A+zjhISBMPp/pzCrs9RCZwjtYvfnPvc5fO5zn0v/+8wzz8Sf//xnfO973/N8sVvOzrjt2T0ZRu91dsbRwRHc+uyejDMUVrbG8PDqpZhbV+lJGwgJK17blyi6omwPHTAhwUU0TTFD0OIa6iQhpFBR0+v2lgY8uqYN//bbXtx3xWLT+kgtJURcghhP6iFKrEndI9k4YWui9G+AfZyQoBM2/+8UVnWWWpg/oV3sViORSGD27Nm67xkbG8PY2Fj630NDQ458t9/ZGYmUlGNcALB9fxy3PbsHm9a00ZhIoHHLds3gl335rSuEOIGftksyCZKmMK7xF9otIcHED9vV0utdPf0oLirCt69ehtM9rHRGSBAJkt8NUjypB2NN4gRu2m4+tsb+TYg2QfK5IhEW/+8U1Fl/CO2Z3dkcOHAAmzZtwte+9jXd9z300EOora1N/zdv3jzH2lAbjWBhYzXObarHwsZqTzt0PCnlGJfM9v1xxJPen2VOiJO4abtG+GlffuoKIU7gp+2SXIKiKYxr/IV2S0gw8cN29fR6x/44kqMTrreBkKATNL8blHhSD8aaxAnctl27tsb+TYg2QfO5IhEG/+8U1Fl/CNxi9z333IOioiLd/3bv3p3xmaNHj+Jzn/scrr76atxwww2617/99tuRSCTS/x05csTN2/GModFx3ddPGLxOiOj4abu0L0LsE1a/S9yFuusvtFtCgokftku9JiR/6He9h9pFnEBU22X/JkQbUe2WBAvqrD8Eroz5+vXrcc011+i+Z8GCBen/P3r0KC6++GJ86lOfwg9+8APD65eXl6O8vDzfZgpHTUWZ7uuzDF4nRHT8tF3aFyH2CavfJe5C3fUX2i0hwcQP26VeE5I/9LveQ+0iTiCq7bJ/E6KNqHZLggV11h8Ct9gdi8UQi8VMvfcvf/kLLr74YvzVX/0VnnzySRQXB24ju2PEqiNY2RrDdpXyCStbY4hVF25ZCULyhfZFCCHeQt0lhJBgQL0mhAQRahcJM+zfhBDiLtRZfwjt6u/Ro0dx0UUXYd68efj2t7+N48eP4/3338f777/vd9N8oTYawcOrl2Jla2aiwMrWGB5ZvbSgz1AgJF9oX4QQ4i3UXUIICQbUa0JIEKF2kTDD/k0IIe5CnfWHwO3sNst//ud/oqenBz09PTjjjDMyXpuenvapVf4yt64Sm9a0IZ6UcGJ0HLMqyhCrjtC4CHEA2hchhHgLdZcQQoIB9ZoQEkSoXSTMsH8TQoi7UGe9J7SL3evWrcO6dev8boZw1EZpUIS4Be2LEEK8hbpLCCHBgHpNCAki1C4SZti/CSHEXaiz3hLaMuaEEEIIIYQQQgghhBBCCCGEEELCCxe7CSGEEEIIIYQQQgghhBBCCCGEBA4udhNCCCGEEEIIIYQQQgghhBBCCAkcoT2z2ymmp6cBAENDQz63hJDCZtasWSgqKjL9ftouIWJA2yUkeLhpt8lkEgCQeO8gpiYm7TVQ7bp9f5lpw/vvory83LHrBvXaQWxzUK/tZptPvH945juSSVP2RZ9LSDCh7RISTGi7hAQP2i0hwcSM7RZNyxZLVHnvvfcwb948v5tBSMGTSCRQU1Nj+v20XULEgLZLSPCg3RISTGi7hAQT2i4hwYS2S0jwoN0SEkzM2C4Xuw2YmprC0aNHLWf9BIGhoSHMmzcPR44csSTyQYP3GQ6s2qBbthum58x7EZMw3Qsgju06Rdh+H7fgczKHqM/JTbsV9Z7NwLb7A9tuHqdsN8jPXA/eV7AopPsKQrwc9N8j6O0Hgn8PYWy/CLYb9OcaFPicvcGL5yyC3epRqH2tEO+b92ztns3YIMuYG1BcXIwzzjjD72a4Sk1NTUEYFO+zsHDbdsP0nHkvYhKme7FCUPxuof4+VuFzMkfQn5Mduw3yPbPt/sC2O4+R7Yra7nzhfQUL3lcufsbLQf89gt5+IPj3UMjtd9N2g/5cgwKfszeI9Jz98rkiPQMvKcT75j07R7HjVySEEEIIIYQQQgghhBBCCCGEEEJchovdhBBCCCGEEEIIIYQQQgghhBBCAgcXuwuY8vJy3H333SgvL/e7Ka7C+yROEqbnzHsRkzDdSxjh72MOPidzFOJzCvI9s+3+wLZ7T1DbbQTvK1jwvsQiqO2WCXr7geDfA9vvDqK2K2zwOXsDn3PhPoNCvG/es/MUTU9PT7tyZUIIIYQQQgghhBBCCCGEEEIIIcQluLObEEIIIYQQQgghhBBCCCGEEEJI4OBiNyGEEEIIIYQQQgghhBBCCCGEkMDBxW5CCCGEEEIIIYQQQgghhBBCCCGBg4vdhBBCCCGEEEIIIYQQQgghhBBCAgcXuwkhhBBCCCGEEEIIIYQQQgghhAQOLnYTQgghhBBCCCGEEEIIIYQQQggJHKFe7H7ooYdw/vnnY9asWWhsbMSVV16JP//5z343ixBCCCGEEEIIIYQQQgghhBBCSJ6EerH7tddew0033YRf//rXePnllzExMYHPfvazGB4eNn2N6elpDA0NYXp62sWWEkKchrZLSDCh7RISPGi3hAQT2i4hwYS2S0gwoe0SEjxot4QEh6LpArLU48ePo7GxEa+99hpWrlxp6jNDQ0Oora1FIpFATU2Nyy0khDgFbZeQYELbJSR40G4JCSa0XUKCCW2XkGBC2yUkeNBuCQkOpX43wEsSiQQAYPbs2ZrvGRsbw9jYWPrfQ0NDrreLEJI/tF1Cggltl5DgQbslJJjQdgkJJrRdQoIJbZeQ4EG7JSS4hLqMuZLp6Wnccsst6OjowOLFizXf99BDD6G2tjb937x58zxsJSHELrRdQoIJbZeQ4EG7JSSY0HYJCSa0XUKCCW2XkOBBuyUkuBRMGfObbroJP/nJT7Bz506cccYZmu9Ty96ZN28eS1UQIji0XUKCCW2XkOBBuyUkmNB2CQkmtF1Cggltl5DgQbslJLgURBnzm2++GS+88AK2b9+uu9ANAOXl5SgvL/eoZYQQp6DtEhJMaLuEBA/aLSHBhLZLSDCh7RISTGi7hAQP2i0hwSXUi93T09O4+eabsXXrVvzyl79Ec3Oz300ihBBCCCGEEEIIIYQQQgghhBDiAKFe7L7pppvwzDPP4Pnnn8esWbPw/vvvAwBqa2tRWVnpc+sIKQwSKQnxpISh0XHUVJYhVhVBbTTid7MIISahDXsHnzUhxC2oL4QQQgoF+jxCiChQjwhxH9oZkQn1Yvf3vvc9AMBFF12U8fcnn3wS69at875BhBQYRwdHcOuze7Bjfzz9t5WtMTy8einm1jHhhBDRoQ17B581IcQtqC+EEEIKBfo8QogoUI8IcR/aGVFS7HcD3GR6elr1Py50E+IeiZSEA31JvPPBCdz673/IcDYAsH1/HLc9uweJlORTCwkhZkikpJyAEZix4Vuf3YMPhkZ9aln40HvWXuilrNvdvQM4cDxJfSYkRPitL4UKdZUQQryHPs896NcIsUYh6xH1gniFV3bGPh0cQr2zmxDiLcpsqifWLseOnn7V923fH0c8KbGkCCECE09KOQGjzI79cRzoS2JyapqZkg6g96zd1ktmwRISbvzUl0KFukoIIf5An+cO9GuEWKdQ9Yh6QbzECztjnw4Wod7ZTQjxjuxsqrGJKd33nxgd96JZhBCbDBnY6ODIeOgzkr3C6Fm7pZeFnG1OSKHgl74UKtRVQgjxD/o856FfI8QehahH1AviNW7bGft08OBiNyHEEbKzqcpL9eVlVkWZ200ihORBjYGNlpcWpzMlSX4YPWu39NJMFiwhJNj4pS+FCnWVEEL8gz7PeejXCLFHIeoR9YJ4jdt2xj4dPLjYTQhxhOxsqu4jg2hvaVB978rWGGLV4SvXQ0iYiFVHsLI1pvpae0sDuo8MAghnRrLX6D1rN/WyELPNCSk0/NKXQoW6Sggh/kGf5zz0a4TYoxD1iHpBvMZtO2OfDh5c7CaEOEJ2NtXmnYdwXXtzzoL3ytYYHrxqCfqHJXT3DuDA8STLfhDiAImUhAN9ScfsqjYawcOrl6IzK3Bsb2nAde3N2LzzEIBwZiR7jfyss4P0la0xPLJ6qWtneRVitrkSp22GEBHxS1/0CLPtFbquEkKIn4jo84JOofi1MMcmxB8KUY/80AtRbFeUdhQabttZofjAMFHqdwMIIeFAzqbafrK8R0qaxIYt3ejqaMZNF7WgoqwEtZVlqCgrxt0vvIWfv92X/uzK1hgeXr0Uc+sq/Wo+IYHm6OBIzjkyTtjV3LpKfPvqZTjQl8TgyDjKS4vRfWQQG7Z0IyVNhjYj2Q/m1lVi05o2xJMSToyOY1ZFGWLVEVcHwdm6rSTsv61bNkOIiPihL1qE3fYKWVcJIUQERPJ5YaAQ/FrYYxPiH4WmR17rhSi2K0o7ChU37awQfGDYKJqenp72uxEiMzQ0hNraWiQSCdTU1PjdHEKE5ujgCG57dk+GE5CzqebUVSKRkrB+S7fqeRcrW2PYtKbNsaCPtksKBS/sysi2nYS26y1e/rai4KUvKhRot8QMhWJ7QdJV2i4hwYS2S7wkSH7NKl7HJrRdEna80gtR5pcLZXxTyITZB4YR7uwmhDiGUTZVPCmpBgAAsH1/HPGkxCCAEIt4YVeFlpFcSBTib0tfRIg/FIrtFaKuEkIICS9h9muFEpsQ4hVe6YUotitKO4h7hNkHhhEudhNCHKU2qi34Q6Pjup89YfA6ISQXr+xKz7ZJsCm035a+iBB/KCTbKzRdJYQQEm7C6tcKKTYhxCu80AtRbFeUdhB3CasPDCNc7CaEIJGSEE9KGBodR01lGWJV7oh4TUWZ7uuzDF4nhOTitl15pQ+kcPC7T9EXEeIsZm2atkcIIYQEH79jeSdhbEKINzitG6LYrijtIMEiTH5UNLjYTUiBc3RwBLc+uyej7MrK1hgeXr0Uc3XOnrAjzLHqCFa2xjLOuVB+Z6yawk6IVfTsqrM1hsnpaRw4nrQVPNnVB+IuQQ6MRehT9EWEOIcVmxbR9oKsp4QQQkg2bvs1EWJ5JxExNiHET9zQEDd0QxTbFaUdYaBQxmVh86OiUTQ9PT3tdyNEZmhoCLW1tUgkEqipqfG7OYQ4SiIlYf2WbtXzRVa2xrBpTZuqYzErzGqOKiVN4tZn92QEAitbY3hk9VLMcVDUabukEJBtbCAlYXxyCrsO9GPzzkNISZPoaGnAuvZmbNjSjZQ0aTl4sqsP+ULb1SdIgXG2D6guL8U3t+7Fz9/uy3mvm31KjaODI7jNA19UKNBu/cePyQE7fkIk2wuSnroFbZeQYELbDQ9O+m+3/Zpf40O38TI2oe0SpwjKorSbuuGV7RrZrUjjm6BSKOMyPXu4dFEjHrhqCZKjE6Ff8HcTLnYbwECEhJkDfUl8+juvab7+yi0XYmFjdcbfzAYqeo6qKlKCeFLCidFxzKooQ6zaefGm7ZKwo2Zjna0x3PPFc3D8xCh2Kha+ZawMJuzogxPQdrUJ0gSTVv9cu2JBOgEjG7f6lBbyBIGbvqhQoN36i1+TA3b9hAi2FyQ9dRPaLiHBhLYbDpz03174Nb/Gh17gVWxC2yVOEKRFabd1wwvbNWO3Ioxvgkohjcu07CEaKcGja9rw9K5D2NHTn/57GBf83YZlzAkpYIZGx3VfP6HyejwpqTogANi+P46+E2MYTI3jzm17MwRafv22Z/dg05q2wA6CCBGBRErKGdwAwI79cdzz4ltYNq8Oj73ak/O57fvjiCclU4GiHX0g7mKkv2Z/W7fR659T09Po6mhW7Z9e96naKAegJPho2Zsy5nKrn9v1E37YXvbul6mp6UDoKSGEkHDitP/2Ypzg1fjQj2o1HBeQoOBW7O+WhljRDTu2L4rtitKOIBKkea58fZOWPXR1NOPJXYewS2cdRYRnEAS42E1IAVNTUab7+iyV140Cld4PUwCQs9AtI5KjIiSo6AWDO/bHsW7FAs3Pmp2EsKMPxF2CkoCg1z939fSjq71Z9TX2KUKs4+fkQFD8hNrulyfWLtf9jCh6SgghJJw47b+9GCd44fcLpZQtIXYRYVHaCmZ1g7ZfuARhnsup/qllD20aG5YArqNYpdjvBhBC/CNWHcHK1pjqaytbY4hV5wqpUaACAGMTU7qvi+CoCAkyRsGgng2anYSwow/EXYKysGSnf7JPEWIPPycHguAntHa/GCGKnhJCCAknTvtvL8YJbvt9ox2riZSU1/UJCQN+L0pbxYxu0PYLG9HnuZzsn1r2wHUU5+BiNyEFTG00godXL80R2pWtMTyyeqlq1pBeoNLe0oDuI4MoL9WXFr8dFSFBxygYrK1Uf93KJIQdfSDuEoSFJcB6/2xvacB9VyxmnyLEBn5ODgTBT2jtfuk+Moj2lgbVz4ikp4QQQsKJ0/7bi3GC237fzI5VQgodPxel7WBGN2j7hY3o81xO9k8te6jTmMOV4TqKeVjGnJACZ25dJTataUM8KeHE6DhmVZQhVq197oQszLc9uwfbFWLf2RrD2hULsGFLN7o6mtHe0pBz1gQghqMiJOjIweB2lYCrvaUBsypKc2zQziSEVX0g7qKlvyItLAHG/XN0fBJPrF2OsYkplJcWo/vIIIZGJABV3jeWkICjZ29exFyi+wmt3S+bdx7Co2vaUFxUlFOOTiQ9JYQQEk6c9t9ejRPc9PtBKGVLiN+4Ffu7qSFGukHbL2xEn+dyun+q2UN1RamvY/owwcVuQghqo9YGJ2rCXFpchMse3YGUNJmeQASQ92IbISQXORjMLqXT3tKA69qb0fXU73DNJ5qw8QtnY3R8Mq9JCKv6QNxF9IUlQHuwIvfPm7d0IyVNZnzmqnM/6nUzCQkFIkwOiOwntHa/pKRJbNjSjZ9t6MTE1LSwekoIISScuOG/vRonuOX3RS9lS4gI+LkonW+7ta5D2yciz3O50T/V7MHvMX1Y4GI3IcQW2cKcSElYPr8e2/fH0xOIXR3N6GpvBgA0zY6icVY5BZoQh5hbV4lvX70MB/qSGBwZT++Q3XByIXHPkUF8taOZNhdCRF5YkskerFSVl2L34YF0/1TCTFVC8kPkyQG/0dv9snx+PeqiZXxOhBBCfMEN/x2EcYIWflerISQo+LUo7Ra0fQKI67+86p8c0ztD0fT09LTfjRCZoaEh1NbWIpFIoKamxu/mECI0RwdHNLOQ5tRVetoW2i4pFESyOyeg7YaXsPVVcgraLREZao82tF1Cggltl4SVsPts2i4h6ohs+7RbInL/JJlwsdsAChoJMomUhHhSwtDoOGoqyxCrcj8jSP5Ov7OQaLukkFDaXU1lGarKS5EcnfDU9p2CtisuTvgUUXwEcRbaLfEaq3pE7VGHtktIMKHtEr/wYo4pzD6btkvCTL76IKrt027Fxqu1D1H7J8mEZcwJCSlHB0dyzvNd2RrDw6uXYq6LWUdy2RHZCRyMD6OmUgrUYhshbuBmAKYs93N0cARf//EfPLd9Egzs9kOnfIqopakIIcHBjh4FUXv8SFolhBBCtPyPV3NMQfTZhBQKbuoDbZ9YxSm/ZGbcxf4ZDLiz2wBm7xAvcWpSK5GSsH5Ld4bYy6xsjWHTmjZXBdqvhXYltF0iEl7ZhBnbByD05Dlt1z3s9kO3fAoXcsID7TY/aAvm8TvG9Qqv4gbaLiHBhLYbDkT0/1r+56EvLcFtz+0Nvf91G9ousYsIelGo+iCC3Yrw+4uGU+NCEdYwiHNwZzchguCkuMaTkqrYA8D2/XHEk5JrCxOJlJRzH/L33vbsnsAHOYRYxcgm7r9iMT5MSY4ErEa2//7QKB74ydsM4gqQfLTZDZ+Sj8/jQI+ECQ6urWFWj4KsE4ylCSEk/Ijo//X8z+H+lCtzTG4S5FiAECUi6IXX+kD7PYUIv7+IODFPZWXcxT4ZDLjYTYgAOD2pNTQ6rvv6CYPX1TDrXN1aaCckqBjZRM/xJK5/ejeA/ANWI9t/b2CEk+cFSj7a7LRPycfncaBHwgQXNa1jRo+CrhOMpQkhJNyI6v/1/M/giPNzTG4S9FiAEBlR9MJLfaD9nkKU319EnJinMjvuYp8MDsV+N4AQYk5crVBTUab7+iyD17Mxcq6J1Kn2GTmbgZSU8X5CwkYiJeFAXxLdvQM4cDyJxIh+fx+bmEr/v5pNWcHI9rWwozMkWBhpc0JngOq0T7Hr86z4IkKCgNPxXyFgpEdV5aWqOrH78ABee+c49n9w4pR/FlQz3EhaJYQQIg4i+P+cMWtK0vU/5aX608dWxwNuwjEDCRNe64WaNgD68amT+kD7zUQEfyEqTsxTmRl3ud0ntWyO2IM7uwkRAKcntWLVEaxsjWG7xrkVsWprWV9WdpgYOZvEyDhu3tLN7CcSStSy/Z654QLdz2QPDPLZtaVn+52tMXQfGdT8LCfPw42RNo+OT+Lo4IiqLjvtU+z6PO52JGGDi5rWMdKjSElxjk5EIyV4dE0bntx1CLc/tzfj/SLGo04nGBFCCBELv/2/1g61b35hkeZnuo8MorM1pnk2qtXxgJtwzEDChJd6obd7VS8+dVIfaL+Z+O0vRMaJeSoz4y43+yR3jDsPd3YTIgBWJrWUGT/7PziBw/Fh/OFIZvZPbTSCh1cvxcrWWMZ1VrbG8MjqpZZF2IpzlZ2NGu0tDeg+MliwGXkk3Ghl+71+sB8dLQ2qn5FtIhsrAWsiJeFwfBh/PJpAz/Ek7r3iHFXbv/+Kxdi885DmdTh5LiZOZXkaafPrB/s1dVnLp3S2xnDfFYstt8XuQg4HesQrvMqu5qKmdYxi3EGVaipdHc14ctch7OrpRzRSgvWXtOCJtctxzSeacLh/GB8MjXrVfFPo6bVoCwqEEOIXQd4J5YT/t3v/ejvU3uwd1PQ/fz42hIeuWuLYHJObcMxAvCAI4wUrbTTavVpdUeqJPtB+M+F48RTZ/RlA3msfZsZdTvbJ7DWd1945jjcOD2S8h2sm+cGd3YQIgNlsJLWMn/aWBlzX3ow1//obLJ9fn87+mVtXiU1r2hBPSjgxOo5ZFWWIVUdsDUKsOFd5EvK2Z/dk3I/czg1bugEUZkYeCTda2X6bdx7Co2vaUFRUpGq7sk0oMRuwHhscweEPU9j06n7s6ukHMLODbeOqs/HNLyzCiDSZtn0AWD6/3rHducR9nMzylLVZy4ds2NKNlDSpqcuyT3l/aBTvDYwAmMng/vyjOzJ8jxnsZuByoEe8wMvsaqerJhQKejFuSprMeX/bvDo89mpPxg7vx17tSb/eeXJCRJTsea1YWsQFBUII8YOg74TK1//nc/96O9Tuf+mP+OmGTtz1/L4c/3PfFYsxx8E5JjfhmIG4TRDGC1bbaLR7dXhsQjM+dVIfaL+ZcLw4g1Z/fmT10rz6nZlxV02F/qKz2T6ptabz6Jq29HycDNdM7FM0PT097XcjRGZoaAi1tbVIJBKoqanxuzkkxBwdHNEU1zl1lUikJKzf0q0afLS3NKCtqR6PvdqDla0xbFrT5qggJlISbt7Srelc1b4vkZLwl8ERvNufQnlpMbqPDGLzzkMZ4r3txhU4t6nesXYqoe0Sr+nuHcBVj7+u+lo0UoLnb2pHcVERToyOo6q8FLsPD+D+l/6YMzFv1oYTKQk/3fc+XtpzNL3QbXQdI50RAdruDHqan4/Ov/PBCRz5MIWxiSlVbdbTZSfbZKcv2vFFxBvCYrdu2Z0eQdDlIKGmE49fex5u/NGbWH9JC7p7B0z7TL9JpCTXFxTCYruEFBqFbLt++Go3sOv/871/vTErALxw0wrMb6gSfkFbD5HHDIVsu2EhCOMFO2000gZ5nsDt+FRE+/Xbbgt9vOiFzen1ayf6pNk1HSVurpmEGe7sJkQQjHZi62XZ7erpR1d7MwB3sn/s7DCpjUYQT0q48Udval630DLySLjRy0BNSZMoLirCwsbq9N+qykvxs6yd1lZ2bcWTEhpnlatO2gPqWuBkxQfiLm6dC1RSVITrn96t+bqeLjvZJjt9kbsdidv4cUYcddlZ1HSivHTm5C55h7caImbP10bZDwghJJuwnOdq1//ne/9GuyaryssC7384ZiBuEoTxgp02mt1R7bY+0H5zKfTxohc2p9evneiTZtd0lHDNxB5c7CbEYeRsoKHRcdRUliFWZa18htZ7jc6IGJuYSv+/G2eY2HGuLLdCCgmr/T3fgHVodDzD7tXI1oJ89IkY4+Tzdeusqnx02ek22RkoF/pAj7iL2T7utJYGfVJZNLJ1oj46o3tWfSYhhBQqIo8ZwnSeqx3/n+/9F8ocDccMxCpmdc8vDbKiF3baKJI20H5zCfp4MZ+4QgS/78T8rR7Z49Qw+WOv4WI3IQ7i5rktRll28q4VwL3sH6vOlRl5pJCwWwHBrh3UVJThw2HzZ8cE/Ww70XH6+bp1VlU+uizK+VlBH+gRcTHq4zWVZdTSgJCtEw+vXop348O6n2H2PCGEiD9mECUe9Yt877+Q5mg4ZiBmsaJ7QdAgO20UTRtov+Eh37hCFJvLd/5WD+WaThj9sZdwsZsQh0ikpLR4RyMl6OpoRtu8OoxNTOFw/zBKiotwek2F7evrZdm1tzSg+8ggAOezf/LN6mZGHikk5P4+mBrHsDSBYWkSdZVliEZKHP+uWHUEv333Q7S3NGieP1pdUYoDfUkkRiSMTUxh2bw6vHF4IH0+8/b9cdz27J7AnG0nKkr9V5LP8zXKrJZ/WzvabFeXvcj2FnknEQk/yj6eHcvVR8tQUVaCu57f56itE2+YW1eJkuIidLbGNM97Ey17nnpICPEaKzGtXxol0u5DP3Di/jlHQx9LTpFISbjr+X1YNq8O61YswNjEFCrKSvBm7wDufn4fvn31soy+EQQNsttGUbSh0OwzzPebz1yZ/FwSIxK2fPUC7DrQj807D6XnMwFxbM4II5tsOa0a225cUZD+2Gm42E2IQ8jnL0QjJXh0TRue3HUo41zAzpOZOXazobWy7NpbGnBdezM2bOl2PPvHqaxuZuSRQmJYmsSdWYshbuyGqI1GcNHHTkNzrAoAMha8O1tjeODKxfjm1r34+dt96b+3tzTg0TVt2LClO2PBOyhn24mKG2cI6WVWq/22VvuYHV12O9tb9J1EJPzIffzu5/fhrz/RpBrLrV2xAK8f6M8YZAPU0iBwek0FHhFox4oe1ENCiB+YjWn91CjRdh96jVP3X8hzNPSxREn/sIRrVOJ+ea61fzgzvg+CBuXTRr+1odDsM+z3a3euTO25dGTNZ4pkc0YY2eScukrMR5WPLQwPRdPT09N+N0JkhoaGUFtbi0QigZqaGr+bQwSmu3cAVz3+OtZf0oLu3gHNnZb57vqRM5tOjI6jqrwUkZJiJEYkVJU7m/2TSElYv6Vbc/eL6LuXaLvED/ywm0RKSu8kT0mTqK0sQ01lWc5iqEx7SwPamuozBnLbblyBc5vqHW2XXYJou7L+a5HP81Vq/qyKMlRXlGr+tl5pc3abnPA9Qfc5hU4Q7VaPD4ZG8fX/83vsUInl1DRURiQtJdq4oWFO4qUehs12CSkU3LJdMzFtc6xKiJhNdC13m0K/f7v4Peag3xWPdz44gXtffEt1Dre9pQH3fPEctJ4+K+e1INhgENqoxG/71MItuxX1fp3EzlyZ3nPpbI3hrlVno7ioSPj+rEbQbDKIcGc3IQ4hn7/QNq9OdQIUcGbXj3qWnfPZP27sVCQk7PhhN2qacKAvqboYCszsAO9qb874mwjnSgUZN88Qyv599X5br7TZjWxv+hwiEsnRCdWFbkBdQ2WopcHA7x0rRlAPCSF+YSamFUWjRNdytyn0+7eLKP2XiMPU1LTqQjcwE/dPTqnvEQyCDQahjUoKzT4L4X7tzJXpPZcd++MoLirCwsZqR9rnNUGzySBSbPwWQogZ5PMXxiamdN93YnTcoxblx5BBO4NyH4R4iSh2Y9QOpU4F5YwbkZH1Xw2nn68ofcxpwnpfJJhY0VAZailxCuohIcQvzMS01CgSZNh/STYpacLg9Und14lzFJp9FsL92pkrK4TnQtyDO7sJMUAuMTE0Oo6ayjLEqtSzcOTzF96ND+teLyi7fpzcqWj2GRLiB072Tzd3+FptRzRSgq6OZrTNq8PYxBQqykrwZu8ANu88hPLSmVy3IJ1xIzJentvldh/zQ68TKQmVZSV4/NrzMvqpcmIhKL6ThAM1O1NqanV5KTavOz/dV5fPr6eWEscw8uHUQ0KIW5iJaWsqJN1ruK1RnFsgVlH2mcpICdZf0pIz1pChjy08aiv19aMuWkbdcZFCtk9R5g/d7N925sq8ei6063DCxW5CspDFLjk2jtrKCDZu24cdPZmC/PDqpZhbV5nz2bl1lSgpLkJna0zzzI18d/14JcZy9tX2PO/j6OAIbn12T8bz0HuGhHiJ0/1TzW7kCesVZzYgMSLhwPGk60FUrDqCJ9edj02v7s84VqGzJYYX1rcjMTKO//v3naiPRnB6TYVr7Sgk5tZVYtOaNtPn79jVcqe0WQ0/9FrtO9tbGvDomjZs2NKNlDSZvq/sZ1ZdXorhsQkkRjg4IZnkGyvFqiO4dFEjPj6nBm3z6jAxNY3mWBXue/GtTE1tjeGnGzpRHy0LVN/jwF5sYtURbFbx4e0tDdi87nxWECCEmMaO3hvFtG7GokYEcW4hTD43iPei1mc6ssYaMqzSUxjkjCkrSnHpoka8rHJU2KWLGhEpKc45P9iu7gTRhtxsc6Hbp5/+VMYJv2rUR6zOlVl5LnrfrfdaEOMJYo6i6elp9cMnCABgaGgItbW1SCQSqKmp8bs5xGWUYvf3n2nFG+9+qHpmY2drDI+tadMU5qODI5pZS3PyEE2vxfi9D1O4fevenO8zex+JlJQTFCqvs0nnGeYLbZcYYbV/mg3ylfYfjZTg0TVteHLXoYxzoNwOohIpCeufeVNdv1pi+KsF9fjnn+8XMpgrBNvNV8vN+Birg1I/9FrvO9tbGtDWVI89Rwbxj6uXYgpQHQiva2/OWBQXrT8XCiLZrVOxUm//MG7fuhe7evqx/pIWdPcOqJ7n53Y84zQiDeyDOOHnBTM+vDsj2VbGaAxiFZFslxBiHjO266beuzXfoYefcwt28WIRwStEih/MotdnOloacG5TfTqpzO3+K0O/6y9a/fiBKxfj/pf+mLHgvbI1hoe+tAS3PbfXEd2xa0N+aoCbdi+ifWrhpt364U9lnPCrbvURM89F77uLAHxD47WqSImj8YQofprMwMVuAxiIFA7ZIv/vX/sU/sv/+pXm+1/+h5VoPX2W7vWc3OHn1eBObstASsLk1BSSY5MoKirC6Pgk6irLML8hio/WR01dY2xiEp9/dKfm+1655UIsbKzOu81q0HaJEQf6kvj0d17TfF3ZP48OjuCu5/fhrJO7/MYmplAfLUPTbHV7kG1ganoa9734luqis1m7tRM47f/gBC797nbN15X6JtrkUNht1yktV/MxANL6PT45hV0H+tMlwIwGHFbswSmMvvP//l0n5tTOVB4wWhRXDoSVzzCRktB3YgyDI+OoipSgqrwUdZXB2oUbBESxWyftS3mdJ9Yux/VP79Z8v5vxjJO4EUsmUhIGU+MYliaQkiZRXVGK4qIilBYXoUHHXwVx0twrvNRjUWyXEGINI9v1Yu7AynyHE/gRq+ZD9m+gPJ4CAJpmR9E4q1z3mYniK0VONFDGIcPSzJyV/FzNjDVGxyc96b8y9Lv+YdSPv3X1MiRHJzI0LZ6UHNGdRErCT/e9j8ZZ5TnH0yyfX69pQ35qgJN2rzYmlyamdOes/LBPLdy2W6/9qUy+flXZR7KPYKqPluHM06rzqiT5wdAoBoYlDI1OoKayNKMypVH/vGzJHNz+3F7V1zauOlu371mJJ+zYKBfH3SX0Zcy3b9+Ob33rW3jjjTdw7NgxbN26FVdeeaXfzSICEk9KGeI0MamfB5IYGTd13WkAKNJ+3awwZrdPyfb9ccSTUt7iqFVO9rr2Znz9x39IL5joBTXKazx+7Xm633di1NwzJMQNhgz63+DIzHl0iZSEu57fh2s+0YQndx3KKCna0dKAh7+0FGfMzlzwro1G0gNstYVuwJzd6ulDVaREM0AaNNCnialT+uaUfhBzOKXlch+TMSoHvn1/HLc9u0dTv43swQ29NvrO0fHJU3ak8cx29fSjq705/W/lM3zvwxRuf25Phg22tzTg5ktaMX921LfMcOIeTtlX9nXGJqZ03y9iPKM2iHY6ljw2OILDH6aw6dX9Gbve5djxoZ++jXuvWJwz0E+kpBy9ktugp1OFgh96TAgJF17MHWTHom4TNG1U/gbKal/KsaTehLhIvtKoPx1LjOJgfNjzSXutOKTz5O4/M2ONc5vq3W4mEQSjfpwcnchZ4DoYH9a9plndGUiN46U9R3PiZXmsrqbJfmuA0fPqOzFm6vuPDo7g1n/fk1GxqL2lARsuadX9XCHZp9f+VCZfvyr3ES0fJ2uxncQMo7USo/65dsUCzdeM5kvN2vUHQ6N4Nz6MNZ9ownXtzekEFj0bFSWJLcwU+90AtxkeHsayZcvw2GOP+d0UIjjZIh8tL9F9fzSi/frRwRGs39KNT3/nNVz1+Ov49D+9hpu3dOPo4EjG+4yCl0RK0mxfNvkO7rTasqunH0/uOoSujuZ02+JJSe0SOdcoL9WXmFkVZXm1mZB8qDHof2PjU+nFgrPm1OSUIgeAnT39uH3r3gxbVZKP3erpw63P7sFP972vqTFVOvoE5OqXaJNDYcYNLXdCv43swQ29NvudRs8seyFyeGwcfxnIXegGZp7Jplf345fvHNe0WxJcnLKv7OsELZ7RikMHDPq8Ff1JpCT88p3jORPMwCnt+ficmpx4FjC3CFPI+KHHhJBwEbSFYTMETRuVv0FXR7PqWFJt3kdGJF9p1J8Oxod1573cQC8O2XHyuVaX6+/vEq3PEHexo4tO6E4iJWHjtr2a8XJXR7Pqd/utAUbPq/fDlKGtJ1JSzkI3MHPvyg0YatA+3Sff/i33ES0ft0PHx+lhZq3E6hyREqP5UjN97+jgCL7+f36Pr/zwN7jxR2+i66nfobt3AI+uaUM0UqJqo1bWgIh9Qr/Yfdlll+GBBx7Al770Jb+bQgRHTeTbWxpU39ve0oCqiHrgbEW8rAQvbg/u9Nqyq6c/XW4L0B4cZ1+j+8ig5jNc2RpLl90lxA9i1RF0tsZUX2tvacDrB/vTu+La5tWpntUKzARwbiwg6tnkjv1xNM4qz/ibUmOqIqW6+mWlHcRZ3NByJ/Q7Vh3BSg17cEuvzX6n0TPLXoisrYzgcH9Ks6rCrp5+NM4qL/gFtTDilH1lXydI8YxeHCoZ7FC3oj/xpITGWeWavlHWHrWBfhgXYZzEDz0mhISLoC0MmyFo2qj8DfTGklqLViL5SiuxuFeT9kZxyPb9cURKigPVZ4i72NFFJ3QnnpR0x6Vt8+pUv9tvDTB6XgAMbX3m3tXnKX51sB+dLbRPP8m3f8t9xI6P08PMWonVOSIlVZHSvO47Pd7WSWABcm3U7wSWQiH0i91WGRsbw9DQUMZ/pDDIFvlf/LkP6y9uyZnclEug1kXVhdWKeFkJXtwe3FnJitIaHGdfY/POQ7iuvTnnGa48WcrEyTIttF1ildpoBPdcfo6qjV/X3ozNOw/hxOg4airKbJewzcdu7WQqyhpTFy3DzZe0qt7b+otb8Ys/95luh9sUmu26oeVO6HdtNIKHVy/NaZsbem31O/WeWXtLA7qPDGZ8VpqcMixNNTYxVfALavkgqt06ZV/Z1/EynskXvTj09YP9mkleVvVnaHTc0DfKr2fbWhgXYZzETT0W1XYJIfpYtd2gLQybwY9YNR+Uv4GdsaRIvtJKLA54t+vU6LkmRiTf+wz9rjjY0UUndMdorC63LRu/NcCM3RvZut69b955CHeuWpQzNhFB0wvFbvPt33IfcfrILzNrJUb23HdiTPO1umhZXvdtdrNJto36ncBSKIT+zG6rPPTQQ7j33nv9bgbxAVnkb3t2D7bvj+P7rx3E0o/WYdWSOehqb8bYxBTKS4vRd2IMC2ZHNcXPinhZCV6y2yfjVCBgNitKb3CcfY2UNIkNW7rR1dGMrvZm1FaWoT4aQaza+fNIaLvEDkUA2prqM2y8+8ggNmzpRkqaxKyKMsSqI/hgyN5AIx+7tZupeGJ0HAsbqzF/dhSrls7N1K+hUYyOT+L7rx003Q63KTTbdUPLndBvAJhbV4lNa9oQT0o4MTqe7v9u9g8z36n1zDpaGrCuvRkbtnSn7++R1Uvx/tCoYdnp8tLigl9QywdR7dYp+8q+jhzPbFx1Nu5adTZGFP5BtMl1o0mlF2/uwL0vvJW3/tRUlOHDYf2JbNkOs21NnpzYrjJJENRFGKdxS49FtV1CiD5WbdftuQO/8CNWtYvyN7BzHIpIvlKrP8lJ4nIsrsSLXadGcUhVeZnvfYZ+Vxzs6mK+fchorH5GfaXqtfzWAPl5ZVeMyrZ7PVvXu/eUNIljg6N44IrFmJiaFkrTC8lu8+nfch951+Bse6vzLmbWSozsWf5/LVuvjcL2fZvZbKJmo34nsBQKRdPT0/qHJISIoqIibN26FVdeeaXme8bGxjA2dir7Y2hoCPPmzUMikUBNTY0HrSRuIZ+9OzQ6jprKMsSq1EVMft+Jk++rKi9FcnTCtPgd6Evi0995TfP1V265EAsbq9PfdfOWbs3gZdOatpzvUrbPyUBAry3tLQ1oa6rHniODeGT1Usypq7R8Da37cQraLrGD2T77l4EUbn12D3aqlOYx07ft2K0Zm3zs1Z6c15Qa88HQKAaGJQyNTqCmshQ1FWUYHZ/E0Ig4A4lCtV0ntdwJ/TbTViP/6TbZz6y6ohTDYxM5/flAXxJbf/8X/KF3QLVkXHtLA1YtnYvPL/6I7/0/qIhut07Zl9F1RLENJUZx6Kv/40I0VEXyfj6JlISf7nsfL+05qlq2Tqk9aj7y6OCI5uSEHZ0i5hDddgkh6ti1XbfmDkRHJP+cSEkYTI3jzuf3qe4E0xtLiuYrlf2poqwEL+09hs07DyElTea8VzkmdastenGI2/NPZqHfFQ+v4/t85klF0IDD8WH0HE9mbA5R2r2erRvNU4g6JqfdWuODoVF8/cd/sOzjtNDrN52tMWxcdTZKiosQq5q5ppY9uxUDGY23n7nhAjTHqnJs1M81k0KCi90GDA0Noba2loIWcI4OjuRko61sjeHh1Usx1+EAwap4qQUvna0x3HP5OSgC0ODhwEyrLfdefg5gsi0iBGMAbZeYx2yffe/DFG7fujdHR7Lf5+TgSKttN17cgq6nfpczsaDUGC91z0lou/bQ8yUTk1MoKipCaXGRZZ8SxH6USEn4+o//gDUXNOHJne9mnBMmH0WyYHYUHxG0/UGkEO1WVNvwchB9bHAEhz9MYdOr+zMmmuUdH//2217cd8Vi3STJ7AkIAMIsUBQChWi7hIQB2q42ovpnu/MkWpP1fi/oizBprxWHdLbG8I+CJs/RdsXGLf3IZ55UK+E7MeKN7edr62rPNGhjctqtMU6vBahdT1nZLyVNmrZNLxNYOltj+PbVy3B6TYXp+2LCt7NwsdsAClpwkcUsMSJhbGIKuw7052SduhWEWxUvua2DIxLGxqfw+sFTbfV6YOZE5pMIGeS0XWIFs33W6H1uDI7UvjMlTeJWHY1JpCT8jx//AWfNqUHbvDqMTUyhoqwEb/YO4M/HhvDtq5cJu3jglO36PQHkB9l9paKsGHe/8BZ+/nbmGe1m+2MiJWH9lm7HMnS95OjgCO5+fh/O+WgtOlpimJiaRlV5CaojpZhdAH3Ba4Luc63qhei24eUgWt6xNixNICVNorq8FCXFRSgpkOSaoBN02yWkUDFju4UaC4vsn52aJxHFX4owaZ8dh9RWlqFxVrmwfZ1+113y0T239cMJ+/fL9vO19URKQt+JMSRGxhGNlKAqUoq6aJmwdpqNG3YbRh/t9FrAqXWdcYyOT2aslciYqY4gegJLoVTd8YrQL3Ynk0n09MyUeW1ra8N3vvMdXHzxxZg9ezaampoMP89AJJhoZY5dp8gAknGrvJJV8RJ9YBY0aLvEa7y2YT2NOXg8iYPxYTy565DqbrszY1U48zT3ysrlgxO2K8oEkJ840R+tHMshIhxEeEeQfa4dvQiCbQSt/zMO9ocg2y4hhYyR7RZqLBwE/5wvovnLoMUbfkO/6x756p7o+uG37ReyrTttt4Xqo+1i1zaDkMBCnKfU7wa4ze7du3HxxRen/33LLbcAANauXYunnnrKp1YRN0mkpBynAQC7evpRjCL86IYLMJAax5u9A9i88xBOjI670o7aqDWRiyclVQEGgO3744gnJYomIQLjtQ1na0wiJeFAXxJDo+OorSjDU1kL3QDS/77ni+c41g7R0PIB2/fHcduzewpmwcSJ/jhk4B/d8p9OoeeHw5hJTaxjVy+CYBvK/i/394PxYWH7O+NgQghxhkKOhYPgn/NFNH9pZd6L8TdxCyd0T3T98Nv2ldceGh0HinL/TowpZB9tFdln9A9L2Lzu/PQ6TvZxjlq26bbNWF33Id4Q+sXuiy66CCHfvE6QGTRXRko0xWxHTxzr2hfg+qd3o72lAY+uaUNNZZnl77ATmBt9Pjk2jvWXtOSUHJaF3O/AihCSi9Kuy0uLsf6SFtXgCwD6hyXgeFJVO/LVl+zM0CfWLsfOrIVumV09/ZicCq9f9HsQKArKwXo0UoKujuYM/zJlIjaqqdD3j1XlpekEC7nfAjN9fWJqGlPT00iNTaA2GhFqMouZ1ETGrl4Y2cYsxety2b7BkXFURUpQWVaCielplBRZL/NtBzP9XYTJZ9EnGAkhJCiEJRa245us+Ge77agu9/a83Oy2fJiSdN8jqr9k/E3cxIruaWlLtn5kj6ErIyX4YGjUM/vPbmdixF/bpw07QyH7aLPX7R+WMA3gnuf3YUdWpcpH17TlVOzV8u3Z48tsm5YmJpFIifW8RRiXB53QL3aT8JPtcB+/9jzd949NTCEaKUFbUz0qy0owkJJwIGsBSikutZVliJQU4/ate207dTNBQW1lBN29A3js1Z70e5RCribeFEFC3MPIvrSOS1ALvoCZwceXv/+rHNu3uhBRW1mGqvJSJEcnMDQ6juryUuw+PIA3Dg+kPy9NTunem9pifFjwYsEkCNorD9ajkRI8uqYNT+46lOFfOk+eJ6Tmw06djSRhy1cvwK4DuWcjdbbGsPvwAG5/bm/6ezavOx8/3H4Q11zQlFNC38mBcL5nsTGTmsjY1YtYdQQrW2MZZ3TJrGyNIVY904eODo7g1n/fgx09mX5iwyUtiEbK8MHQEMpKil07X9JMfx+WJtPvkScAVpzZgEhpMeqrvEtUcWOBghBCChG/koecjI/tLqqY9c9m267Wjo6WBqxTHI/n1WKP3JZ1Kxbovk8Uf6l8prOrIrhz676MeAhg/E2cw6zuqdn0pYsacc/l52BqehpPrF2OoqIi7HlvEMvOqMMPdx7MGEN7Zf9q7Xzmhgt0P+O07dOG3cHPBF+n/LSb52Df+uweLJtXhz8eTWBZUz3WtTdnbAh85jeH0dXRnLZLPd+uHF9qzYtZbbebc4FMKHEGzxa7L7nkElx44YW4++67M/4+MDCA1atX49VXX/WqKSREqE3ilZcW636mokxf4IoAfENxzfWXtKC7dyCnHLBZp25mohEANm7bp1lyeOOqs3PEmyJIiHsY2ZfecQkAMoIvYGZxo/vIIIBc27e6ECHrV/ZZ3MpF9tOqy3Xvb1ZFeHPd3F4wCYr2ypN9S+fV5fQXANih4cO0JvWU/Wtlaww3XtyCrqd+l35PV0czNr26H21N9arf59RAON/nH5ZMauIMdvWiNhrBw6uX4rZn92RMqK88mURSG43M+ImshW4A6O4dxNQ08I//9+2MTHW9BBS7GPX3vhNjuO+lP+b4l3wmAOxid4GCEEJIJn4kDzkZH+eTmGjGP5tt+4NXLcE9L76V046dPf2YxqnxnheLPcpnsmxeHdpbGnJibbndIvhLtapj2fGQDONv4gRmdE9NW6KREvz1J5rwjWf3ZNhUZ0sDLmieje7ewYzreGH/Whr4+sF+dLQ0qFbwc9r2acPu4VeCr1N+2q3NA8rrXt/ejHNPzmNlz6te196M0qKidPu1fDuQOb7s6mjOe57KzblAbspwDv1VQQf55S9/icceewxXXnklhoeH03+XJAmvvaZ9yDwheqhN4nUfGUR7S4Pq+9tbGjA9Pa0rcL9853jGNdvm1akOJOTPxJP6pWTMTKzHk5Jm4LCrpx/nNdXlnM2rJ4IJg9JWhBBtzNiXnl3v6ulH27y69L/lgGzzzkMZ10rbvsFChLItWgHarp5+PLnrELo6mgEAkdJiXR2MlHjm/j1HDmjVyHcQGCTtlSf7VpypPhkG5Powrfvb2dOPp19/F8/f1I5XbrkQ91+xGF1P/S5jp7fsK836TPmM+e7eARw4njT17Jx4/iyVTJTkoxdz6yqxaU0bXrnlQmy7cQVeueVCbFrThjknB7pasV1XRzMe+0VPxkI3cCoBxUkdMerviZFxQ//ilb7JmpX9exhNYhBCCMnEzVhYDafjYzPzJ3oY+Wezbb99616cNadG9Tuyx3tm2pUPymeyeechXNfenDPWU/OXduLtfFF7pmMT+lXHGH+TfKmuKEWHxvxHR0sDqitKVbVFK/7d0dOPx37Rk55fUeK2/Wtp4OadM/M9nS7HyrRhd/HaRwPO+ul8fbSZ69ZGy3TnPT9SW6Hr22WU48t813bcngt067nawY/YwUk83dr185//HP/9v/93fPKTn8SLL76IBQsWePn1JISoTeJt3nkIj57cMZm98/G69maUFBXpCtzarLJQ+Tp1MxPrRien/mVwBLMqytKZQtyZRoh7GNnX+0OjhmXAayvL8H/++6dwYnQc3UcGNcuaG9m+ciECmFlQVGY2KtnV04+u9pnB2LHEKK47+f9qOjhz3lOVwbcHEzs7OswSNO2dW1eJ9xMjuu9R+jC9+9uxP47ioiIsbKxGd+9ATn+WfaUZn2k3I9aJ589SyURJvnpRG9UuW6YV/+npuBM6oiytVhkp0X1vdUUpopESpKRJ19tlBnmBIp6UcGJ0HLMqyhCrFu+YCEIIERk3Y2E1nI6PnUhM1PPPSoxiX72S4dkxb/+wBGQdj+cUymeSkiaxYUs3ujqa0XWyvOuChig+WldpWK3Ji2otas/UqPoi42+SL8NjE1jX3oxp5M5/rGtvxvDYhKq2mJ1fySbb/p1c7NXTwCIU4fOLP4J1KxZgbGIK5aXF6Dsx5th3A7Rht/HaRwPO+mm3Ng8or1taor1uI/99YWO16utqZcY3rWnDO33JvNrt9lygKJsyglLJUg9PF7vnzJmD1157DV1dXTj//PPx4x//GIsWLfKyCSRkqE1aK4P/jV84GylpEqPjk3j9YD82bOnGt69epnvN7KAlX6fuxMT69DQyylaIIoKEhBEj+3pvYARNs6O676k/GeR8+fu/yvi7fB5q27w6jE9NG5YTj2YtVBgtJMqvlxYX4easSZDy0uL0wvuL6zt0rxN03FowCaL21lbq37PSB5m9PzW/VlE201eNfGZVeant8kxOPH+WSibZuKUXWvGfmzsjsgen6y9p0Sx32N7SgO7ewXQZRqN2DaQkJFLuL3ibXaAghBCijZfJQ07Hx14mJhq1Xc83Zse8J0bH8eXv/8qVSeHsZ5KSJjMW6F655cKcHd13Pb8Py+bVpRfF5PNO735+H7599TLXfK3aM5WrL4pcep0Em8TIeE4SiHL+45kbLlDVFrPzK9lk27+TuqTWzmikBJvWtCFSWozaaARFRUX447EhbN55KH3MmFNljmnD7uN1gq+TftotH6287sCwfnuyN17IC9wDKQnjk1PYdaA/wzYeXr0Usw2erVG73Z4LFGFTRlhKqXu22F10sp5+eXk5fvSjH+GBBx7A5z73Odx6661eNYGEELlUTfYkXkqaxO97B/BfPzkfZ82pwNHBEfyv1w4gJU0aTsRnv27FqatlEJmdWNd6j3zWrzJTSAQRNIPa8wiCMBJ/8bvfGNkXAERKig3tenRiCs/ccAEGR8ZRUVaCPe8NYtkZdfjhzoPpyQm9hYiVrTFURTLdtFn96j4yiPOa1LOUC2Uw4saCSVC0V4kZHyTbnJmF6kRKwtT0NJ5YuxxFRUV4s3cA//u3vYhVR9Bx0l/p+cxISbHtjFgnnr8fmdREfNzQCy3bc2tnhNrgVFntaKdKlY8NW7rxw/+2HI+92mPYrsTIOG7e0h2orG4tnIgz/I5VCCHECK+Sh5yOj71MTDRqe12l+uvyHI3av92YFLb6TPqHJVzziSbN8077h42T1+z6uery3GlmreqLjL+JU9RUlOUkgSiRFxOz7cjq/DCQa/9O61J2O6OREjy6pg1P7TqUcQxSe0sDHl3Thg1bujPG0VZsV+29arpIG3YeLxN8nfTTbvlo5XUnpvRrYNYqfPPRwRHc9fw+nDWnBm3z6jA2MYUVCxvw2bNPR9dTv0v75G9dvSyvdrs9F+jGc7Xqx4NWyVILzxa7p6czO+qdd96JRYsWYe3atV41gYQQM6VqgMysqanpaXS2xlQNeGVrLKcEjOzUi5A5UZjt1PVKPTyyeiluNZhYf/jke5SfV05GAqcyhYKwMy0MpS+I94jQb2LVEU2NkAc2p1XrL5ilpEl8I+s+OlsacEHzbHT3Dqb/prUQIV8nGinJsHWjhcSW06rx71/7FJKjE/jMotMxjT/laON9VywORIAiIkHQ3myMFneVfXX9JS2a/au9pQHlpcVYv6U7x0/9cO35+N4ve7CuvRnP/Oawagl9+fv6TozqtlcvI9ap589SycQLZNvL9mkfDI2isyWmep53PjqiNjhVVju69bKzcOTDkYxdLilpEuVlM8lbev5FmXgZpKxuNZyIM0SIVQghRBScjo+9TEw0avv8hmjO6x0n55rkOZrsORvA+Ulhq89kYmpa87xTALjni+fofp9dP3d0cAS7Dw/kxBNyPLJx1dm454vnYHhsgvE3cRQzOqRmR91HBjU3H3S2xvDBUObYNdv+3dCl7HZqnSsu/1uu0jQ8Zu24MK33PvSlJTnPkjYcbJz00275aOV13+zN9SNq7ZWrmKgld3WcnKf6yr/+Gtv3xzE8NpFXu92eC3T6udrx40GsZKlG0XT2KrRLHD58GE1NTekd3jJvvfUWdu/enV70fu+99zB37lwUF+tnV3nF0NAQamtrkUgkUFNT43dzSBbdvQO49oe/SZcFVpaq2bzzEJ654QKc21Sf87mjgyOaAiJNTOGObXszRPWSs07D33/mY4gnJdRUlKI+Gslw6omUlLMAoLzuppOLWUYT64fjw+g5nsy5D7lExyu3XJg+l0LvHub4PNFm5nm4HRDRdoOHCP1G5t34ML6ZpQPKiYwX13dgYWN1OlNOadcANO+jvaUBbU31GUGYXNp81ZI5GB2fzNEHpa0rs3rVFsfn1FWiu3cAVz3+ekbJdKWmfHZRI5bOy9VFURDddkXWXj3M9FW5f2UPpttbGvCN/+csbHrlHfz8T8dzrt3ZGsOyeXXYvPMQujqasbypHrXRMpSWFGEgNY7GWeWYU1OB2mgEB/qS+PR3XtNsp9LPqRHU5x92RLdbP0mkJPSdGENiZBzRSAkqy0owDeDu59/KWPDubI3hH/Pox7L2a/H4tefhxh+9mfP3V265ELHqCPqHJUwDuOeFtzQTL9Xi0SDhRJwhUqziBLRdQoKJaLbrRnymFru6oa9Gbc9uR3VFKYbHJtJ/y56zkdl24wrVuah8MPtM/nRsCJ/7/3ZoXuf//l0nzpqj3m/s+jn5c28cHlAdTzBen0E02w0TZnVIaUc1lWWIlBTjjq17cz53z+Xn4MU9R7F4bm36KIDp6WmUFBUhNT6JBQ1RfLSu0rW4T27n2MQkPv/oTs33PbF2Oa5/ejde+/pFuPP5faZsV8/OL13UiLu/eI7qMylUGw6D3Trtp93y0YmUpDkuzW7vgb4ktv7+L+juHVBdGO9siWHZyYqXsk/Op91ezEU58Vzt+vF85+pEwbOd3fPnz1f9+znnnINzzjmVVXj22Wfj97//Pc4880yvmkYCjJlSNWro7er6w5EBtDXV4/qOM1FaUoT6aBkmJqcxMDyON3sH8NlFjTnGbabUw8LGakOBqouW4enX3zWVKSTyzjT5eWQvtsnnRJkpm0XCiV4ZFZFKptRHy7Bq6VzV856Wz69P26Ja6aEDfUnN+9jV04/rOzL9m6xhnzmrUXVCJNvWayrL8E9fPhfJ0QlV25fL62hp41XnftT6AyFp/NTefMrmmumryl2gXe3NqCqfmczrPjKIgWFJdaEbAHbsj2PdigWafW7bjSvS361Wlk32EwAwNT2tey6wyL6PEDXUbC+RkvDAlYsxLE0gJU2itrIMjbPK8+rHRqXV1MowKne6yN/92Jo2/GVwBO/2p3J2gcvYyer+YGgUA8MShkYnUFM5kzh6ek2F5evkgxNxhkixCiGEiIIb8ZlXJV6N2q7VjunpJL78/V9pXteopKmduN7sM0lJEwavT2q+ZtfPKT+ndnZyy2nVGckDPAaEOI1ZHVKzI7XP9Q9L+O7L+3O+Rx6/nhmrwsH4MGoqJVf6sdzO7t4B3feNTUxhZWsM0uSUadvVs/OX3+7D1z/3cXzr6mWac04keDjtp93y0dnjUr32Do2Oo22e+vGNALCjJ4517QsAnPLJeu028k9mnmG+Ps6J52rXjwexkqUani12m8WjjeYkJOgZ4qWLGlFdUYoDfUlVkdESkOryMmzeeQjnrqnD9187mLO77b+cd0bOZ5wq9WC1bIWXZ3xYYWh0PGOHYPY5UVe1cbGtEDEqoyJSyZTaaAQXfuw0WyVkjO4jGilBNFKSM8lQU1mmGRip2frpGgmlYQlQRMYP7XWjbK6s1WpJSTdv6ca3r16W3gn6xNrlutcam5jSfE052af0c7sVOz+UfsLovkT1fSQceDEJ60Yf1tP+TpVjevRiy3hSUt0FLmP1TLLe/mHcvjWzWkpHSwMevGoJmhqqLF0rH5yIM0SKVQghRCTM+DZRFzrt+OV8xlxuH4dRW2mwaK5xFjlg388pP6eWALvtxhUoGyzmMSDEcXJ0pTpiefehlgZk27jWPKeb/dgoobWusgyPrF6K94fMHxdmZOcH+obxv3/7Nh5evTQQOzmJOaz4OhH8tVF7ayrKcCyh3+/lZBCjeVCzflmvTaIcdWXXj3t5jIybCLfYTYgVtAzx0kWN2LjqbHz9x3+wLDKx6gg2rjpb80yUu57fl1PywSj4sDIp6OWuNSvOy8p7ayrKdM+VueeFt/BYwMo8kvxIpKQcpw8g4/xP2Y60Ft9qVAblbgZgdm3RSA8mp6bT5yrJXLqoEZGS3POQ7QRGYQlQnEKEID1fzNiPnXuqrSzTTEp6dE0bSk8ePbOyNYYz6vX7YJ3GpJnawEK2rcHUOO7MOi5A777C8FsSsRFlgApY7+9G2h+NlOATC2ab8mdOJk19MDSas9ANADt7+nHH1r34py+f69oO7+xnODsaUU02kzETrzsZ8xNCSCGQUZL0+X3YkVXaOqgLnXbHXG7F9Ury8eN2/ZzR56rKS12/byUcN4SfRErCQGocG7ftdUVX1Gxca57TrX4MGCe0Lmysxuk1FboVG4BM2zVTEUp5TwBoTyFESydFGhPrEauO4IMhc8kgev3VCb/shW/X+26nxrxhqKTIxW4SeNQMsbqiNGehGzAnMrXRCM5rqsPtz+1VfV2t5IPTOym92LWm57yqIiVpoaw9eYbN7Vv3mnZ0seoIVpzZoF1KhGUeCw4zZVRi1RFcuqgRf/2JppzFt46WBqw+76M4eDyJBg8DMLtZ/p2tMc0zu391sD9dshk4dR7Ubc/tdSwwCkOA4gRBCdKNcKtsblV5qWZSUhGAB65cnD7PF8jNbJdZ2RrD/IZozut6k33y7tEdKmcrqd2Xld+Sk1vEDn4OULOxq11mSrHK9qFXdtHJpKmBYUn1DDVgZsF7YFhyZbFb6xluXnc+up76Xc7g32y8zuophBBiHlmLl82rUz1T0w8f6yR2xlxeHIeRjx+36+eMFuRKi4uwbF4d3jg8kOODnT4GJCxjQKLN0cERvPbOcby056irupJt4xVlJZrznG4dZ2Nkz3IcbcV2qytKdeesuo8MAgB2Hx6YSSjIOguc9hR8tHTyoS8tcXRu0k1qoxHMb4iio6UBO9XO7FYkg+gR5KOu1H7HzjzHvEGvpMjFbhIKsg1R78xcMyJjlBGXXfLBjZ2Ubk7W603o3vrsHtxx2Vn4yb73sXnnIXR1NFsemNZGI4ionA2phGUeCwszZVQWNlbjnsvPwTee3ZPT397sHcSvDvTjY6fPwqH4MM6MVeGu59/Cjh7zAZhXC2C10Qjuufwc/P/Z+/f4OOs67x9/TQ6TZJLm0AwpLTRtYCK09ECwgEuSIqi7omgpvdGN4pcScHfF0r1lvRcqlFOVw4q6d1txdZcW9ndLb/e2nER3XaQKTdhVoMG2ULBpQ1NsMSRNJk0mySST+f2RXtM5XOfzdc3r+XjweNDMzDWfa6736/1+f07vz93P7s85BuHG5gas39GFf22/BM/ccllqQMSKxMjrCYpR3DRxZRSryuaOjE/JTkJNJpKom1WS0s1dn16M13sHsen5t1JxUohzc3UM9qm9Ly3PkoNbRC9uOYvZqO8yq7SaGYumorE4EskkHv3iRakqLds6ejLy7OFx+XNF9cRuud8wCWDj1YszFrVqyddZPYUQQtSR7ovXXrbQ9gkiu9Da57LyOIzsmPnt65ZjdGIKw2Pq47gQ5+55dj/Om1uZqrZWEypG/eyQ7KYRsfjYHKnFDZctxKe3dKCpvhqb25qwfkdXzpibWeNDfuoDEnGEZ7z2soWSfVkz/Uq6xpXOz9Zjx2py3ey8vLKsGOUlRRgZn0LXqSqI4fIgHl6zDLcr5KjHhsZw97P7ccNlCzGdTEqOWQEzO9mzd84D1JPXkfOTRwZirugTpyOnkbNqQnjo2mWiG/TSF4PIIcRlqSqjoxPuPOpK6jnuPtgPJI31eb2M6ya7A6dKZhJiBKNORk/pJjN3Ulo9WC83oLv7YD+OXTaOrt7BVBlbPR3TGoX7ZpnH/EKtpsYnp3M6LOnnIn3j6f0AZs4Pzp7oFhCzS7snwAIAmupr0N7cgImpaZQUFaDr6FCqY18TyjxH6nD/qOz1uDhEO26ZuDIDq8rmKsXKE6Nx3P+ztzK0trIxjF+sb8XwWBzlJbm7RrX8pmrvS+2z5OAWMYJbzmK2ynfp0YeRRVNicVc4IiF9kLuyVLo7qjd2K+W5d1+9GC/edrnufJ3VUwghRJl0XzwxNS373nzq61iV18vFzHPO0Hbm7rzqMtzzmQuw4am9ms4lFuJj38kJ9J6IAUBGH1jo52cf6QWYNz7kpz4gEUd4xm2X1Mu+zwq/YrZ+teS66Xn5saExyWM75XLU9P7AK4cG0N7SkBqzqiorxvhkArem5elN86t9u1Apn5Hzk0Nj7ugTC6jRyNmzQ9hqoG9WWVqcMe6cfcTf/7jobFXXkMOKORDZPm93P/7uL87DC19bidGJqbzqr7pusjuZTDrdBOIDjDoZvaWblAYF1azYs2OwXmlAd2Lq9ITj1//8vIzXslc6xacSiMZyExyWeSTpCPbw2pHBnJVyfxoeT9mDmG2KnYukZcBErabM3PldWx7E3qNDoh0DMfvnGaDm45aJKzPQ40/V2LOS3U1NJ0WrJ9z97H5bzxNU+yw5uEWMYNQPmxVDrPJddupDKu5mD3K3RGpRU679TNPbd+7FI9ctl1ypr/Qbjk5M4cL6GrW3I0q+V08hhBAl0n1xiULVt3zq6+gdJxHyjJGJSVSHgohPTWNkYgqVZcWoMPk87GgsPrNLTsduTuGoopueeE309c7uAbQ3N2T8zczxIT/1AYk4wjN2wq+o1W96v6AqbRd2ej8BgC7dqhnfSt9YkU56fyAWT+SMVz12wwrFSqfpUE/eRM5Puilea5kfye6bRWNxHOobUdU3D1cEsfHqxZJH/KkZ/7JqzE4OpXh3bGgM582ZZbjf6zVsm+z+05/+hDlz5oi+tnfvXixbtgwA8NZbb2HevHl2NYv4FKMTrVaUKFS7Ys+OwUilAV0huHV2D+COq05XW5Ba6SR2HyzzSNKpCs2UVDpyIoYtuw5m2E9rYxiXf+gMVIXEbVNsNamWBEyNpkbjCVN3fmu1fy4OMR8/LSDQak9q443s2XqRMP7rsLVl4dTel9pnORiLy76PnXEihxE/bGb1EKcqOZipD7m4Kwxyt0Rq8cDqpZIT1kq7sw/1jSAxnRT9ff3k/wkhxKuk++Kuo0NojtSKlhzOt76OnnESIc94/chM9b1/+OU7Gb/lkzdfauoYktExKTWbKwTMHh9iDuB/hGfshF9Ro9/0fkH6GGp6O1c2hnHnpxfp0pkRfWrV5tk18v0Y6smbyPnJrqNDkue52x2v9dq61r55VSiIi+qrM0p+q/2u9GtYMWYnh5q5nXwcA7Ntsnvp0qX4l3/5F3z2s5/N+PsjjzyCjRs3YmxsDAAwf/58u5pEfIwZE61qSxSavVvbjsFIuQHd5kgtuo4Opf49GJtMJZBiO2yl7gNgmUeSSShYiO/v6s6xn91p9iNmm2K7uLV0bJQ0FR2bxL0/ezNDn6FgIZbNr8a7/aN4PzqGqlBQ8yo7LfbPxSHm47cFBFpikpbVrw+dOtcru9TwXVcvwupHX5Fsj1lJs5r7UvMso7E44qd8hdRZS5Vl7IwTafT6Ya0VeZTyRqt8l52Dv0pxt7K0GN/53IWyZ6gpXWNobFJy14vf/D8hhHiRdF+8raMHm9uaACBnwicf+zpa+onpeca6KyOi4zFKZWejY5Oqd7gB1h8LeE64HM/ccpkl40PMAfyP8Iyd8ity+s3uF8iNod4wOCb7PVEJXRvRp1ZtAqCefIicn3zn+DC+tXop7pQ4A9vOeK3H1vVWy1WqaKBm/MuKMTs5whVByYUJwtzO6gvPUryO37Btsvv222/H5z//edxwww343ve+hxMnTuBLX/oS3nzzTfzkJz+xqxkkjzBjolWpRKEVu7XtGIyUGtBtjtTixuYGrN/RlfrbVCKJG5sbZs4g1nFeC8s8EoH+kbjiOdvn1lXk2KbYLm4tHRslTYWChTkT3WorGCihxf65OMRc/LiAQI09aV39Oq+6DN9ctQTdH4xknC9/fGhcNuE3c2JM6b7UPMtDfSN45fAArjz/DHzh0gU5+m2J1OIvV3BBJZFHjx/Wojk1eaNVvsvOwV+luDu7PCg70a3mGiVFBbK5p9/8PyGEeI1sX7x+RxfaWxrw1Y9GUFJcgOqyYF73ddT2E9PzDKnxGKWqZ+OTCVz7g9OLWJX6tVYfCzi3qtSy584cwP+kP2PBrwil8c+uKcOZldbZV3ob1Oy6lhtDVWJ8MoFjQ2M5OjWiTz3apJ78h5yf3Hj1Yjz87wewfH411l62EBNT06guK8aC2hDm6qh6aQQ9tq53N7hZczFWjNnJfdeDq5fijqf2oiNtXFyY2/nJ73oRbmmQuYI/sW2y++/+7u/w8Y9/HNdffz2WLVuGEydO4CMf+Qj27t0rWd6cECnUnmtg5USrVbu17RqMFAZ0+05OoPdEDMDMbtn1O7pSExzNkVrs6R3EO8eH8fCaZTgWHVd9H4Rko1YH6ZMNQ2NxlBUXojVSm3FmWCyewPodXdh49WLc+5kLMDoxJTkpoaSpgoJAxt+0VjDQi5QfY4fBPPJxAYGe1a/VoWI88cq7GRpZd2VEdfUEM8+7l0LpWQ6PT2JbRw/+7199BA//x9s57e7oHsA3nt5nmn6Jf9Hqh9VqTkveaIXvkhrUaG0M4/5VS3RfVwwzclm1VYikcs989P+EEOI26IuNMzw+mapaVB4UH8KVq3rWEqnFK4e19WvdeCygFmh3/setz3hkYhLrroykKoyVl0hPu8iVi24+pdt/eulQjk6N6FOPNt36WxNjiD3XitIi3Pn0PvzqQF/O+1c2hm0fS9Fj63orH5g1F6NmbMzMir5nzw7NHBk6EMPQ2GRq88pPfteL+1ctyUud2jbZDQDnnHMOLrjgAuzcuRMA8LnPfY4T3UQzZp6LaASrdmvb2TEQBnTLS4pEBz/v++wFAIDalgZUhYIYn8wtJy11H4Rko1UHgq1HY3FsumYpNj67P0NzKxbU4KMfOkNxdaGSpsYmM3ev6qlgoBW3+LF8IN8WEOhZkSqmkW0dPdi29mIUBAKy5avstGW5Z1lZWoxYPIH+kbjoQB9gnn4JSUet5rSu4LbCdwmDGu8Pj+O9U6UTu44O4VObd2PFghrTdGtGLit3zEJ6FSK53DPf/D8hhLgR+mJjVJUVp6qONc2vFn2PUPUsO29vbQzjhssWZlTuE5DLi82I405PkNHu/I8bn3FVWRBdvYOp8aTHblgh+d5tHT34xfrWnHGu9FxX6N9m9xGM6FOPNt34WxPjZD/XQ30johPdgDNjKXpsXe8ObTPintqxMbMr+p5VE0JFSVFK06svPAvhU/M4+Yhtk92dnZ24/vrrUVtbi71796KzsxO33norfv7zn+OHP/whampq7GoK8TBmnWtgBlbu1i4PFmLTqiUYjU8hFk+gqqwYdbNKLLs3tckOzz8iRtBrP0ICtjXNRstLihAsLEDfyXHEJhOKO0mVzlVKb5fYGeHpGK1g4CY/RvyHXp1JaWSrTGzQa8tW7AQX7nt80vhZS4RoQa3mjKzgNlsz3/z5ActjkBmD3POqy/DIdctxqG8kY6W6MPjH3JP4ld7eXvT3iy+OMUo4HEZ9fb0l17aq3Va2mRA3IBfny0uKUlXHmuprRHdwx+IJ/OR3vXjkuuUYGZ9Kxd1EMolrvt8peTSRXO5hx7GAhHgFNbl4NBbHxmf2Z+hTrurCigU1qAkVY+PVi3H0RCzjSLH0iptiOjWqT2qTiGHmjmMx9PRptdq6kXkLI7rSMjZmxdwKNX0a2ya7r7zySnzta1/Dpk2bUFxcjEWLFuGKK67Al770JSxduhTvvfeeXU0hHsascw3MwKrd2nIrgapCJt5AFmoco9PlqIi3MWo/go3q3UkqZePZ7VI688xoBQM3+THiP4zoTE4jYuixZat2ggv3/W7/qOz7WIGEmI1azeldwW22ZuyMQWZ0uudUliIxnWTuSfKG3t5enH/+IoyNxSy5fllZCG+/fcD0yWMr221VmwlxA0pxfmR8KjVRJuzgBpAxebby1JEkcypLMafy9LUP9Y1ITnQDynkxB88JUZ+L94/Esbs7M8eW06yQx/aPxHHTE69Jfr/cTlTqk5iJ2TuO0zHSp9Vi62aNO2tFSx+bcyvWYttk93/+53/i8ssvz/jbueeei46ODnzrW9+yqxnE5Sit8rF6lZEWtK7EUbNCyAs7Pp0uR0W8jVH7sUoj6e2aTiYlz04yYxeZXj9mx7nIxFrseoZ2+Wmttmx1jJtXXYbCgoCl+iX5hxrdqtGcnhXcVmjGTbm0Wph7knyiv78fY2MxXNp+DyrnLjT12sPH38Vvt92H/v5+0yeOrWq3lW0mp2E/wxnUxPn0uB2LJ7B+RxfaWxrQ3tyAialpLKwN4azqMtHnxcp8xAu42f9oycXFcux0zd75qUWIT03n5LHUKXEaQYMJi8ZC7Z7rcKLvqLWPzf6tddg22S1MdHd3d+PQoUNYuXIlysrKEAgEsHHjRruaQVyMmlU+Vq4y0oqelThKK4S8suOTKwiJEYzYj5UaSW/XwxaustPjx3jGt/ex+xna4ae12rIdMW5OZaml+iX5hRbdKmlOT95ohWbclEtrgbknyTcq5y7E7PrznG6GZrza7nyG/QznUBPns+N2LJ5InQcMAC/edrlkfOTuMeJ23O5/tOTiUjm2oNnVF56FxfOqcl6nTomTpGswFCzE5rYmJJNJdEhUItCDE3Mddvcd9fSx2b+1BtsmuwcGBvC5z30Ov/71rxEIBHDw4EGcc845uPnmm1FTU4NHHnnErqYQF6J2lY/cirfWxjASySQOfTBi20pAs1fiuG23jZtXWBL3YYe92KURLdrWet9aV+56oeIDkcdtz1DMZgFo1q9WW3ajfgmRwgrdarVNKzSjpNuiggC6egdl/QDzQ0II8Qduy1H9gJYYmR3nQ8FCtLc0oGl+NSamphGfSmB2RQk+sagOLxzoy/m8mp12zIuJW3HS/6jVqaDRbG2WFhdiT+8gRidOa9ips4IJ0Uu2BtMrEdzy0QhKiwtRVWbcFpX6tNGxSRzqGzGtb+lEX5UVGtyDbZPdX/va11BcXIze3l4sWrQo9ffPf/7z+NrXvsbJ7jxH7SofqRVvLZFa3HDZQlzz/U7E4glbVwKauRLHTbtt3L7CkrgLu+zFTo2o0bae+9a6ctcrFR+ING56htk2GwoWYtvai/H9Xd0ZZ4yp0a9WW3abfgmRwyrdarFNKzQjpdvWxjBuuSKCqzbvTp3vKeYHmB8SQoh/cFOO6ge0xsj0OC/sqNve2ZOxc3tlYxjfvGYJAGRMeGvZace8mLgRp/yPFp1WlhZLarM5Uov/cdHZqX87dVYwIXoR06BQiWDrrm68eNvlOLeuwvD3KPVpxycTuPYHr6T+baRv6VRflRUa3IOtZ3b/8pe/xNlnn53x98bGRhw5csSuZhCXomXnSvqKt+jYJMYnE3jl8ADW7+hKDc55dSWyW1YCcYU30YKd9uIWjQDG7lvLyl23VXwg2nHLMxSz2faWBmzZdRCdaWWqAPX61WLLbtIvIUq4QbdWaSZbt+UlRXjtyCDaH381lUsDuX6A+SEhhPgLN8Q6v6AnRqbH+faWBmzv7BHNye96Zj++fd1y3HHVFHd9Et/ghP/RqtNwRRAbr14sqs3O7gHc/ez+jM9whzbxEnZpUK5P2xKpxSuH9Y1FZeN0X5X6dwcFdn3R6OgoQqFQzt/7+/tRUlJiVzOIS9G6c6UqFMS5dRWoKivGF/7lt9i6qztjcA44vRLQSwgrgVY2hjP+bvdKIDUrLAkRsNNe3KIRwPh9C37swvqaGX8m0XY3VXwg+nDLMxSz2ab51TkddwG1+lVry27SLyFKuEG3VmomXbcFgQA2PLUvJ5cGMv0A80NCCPEXboh1fkFPjEyP80o5+cj4lKp8mxCv4IT/0arTqlAQF9Vr6y+r7RsT4jR2aVCqT9vaGMba5gZs6+jJ+YyevqUb+qrUv/PYtrN75cqV+Nd//Vds2rQJABAIBDA9PY1vf/vbuOKKK+xqBnEpwiqf144M5pyD8qfhccmdK35ciVweLMSmVUswGp9CLJ5AVVkx6maV2Oog/fi7Eusww160nKniltVyWu9b77kx3A3rfdzyDMVsdmJqWvYzZvt7q/WrR2c8f5iI4RbdGtWMGvtWG8/sinuEEELswS2xzg/o7RMLcf4PfSO6Pu9FzMgPmGN4Hyf8jx6dii0GVfqMW5DSCfVDAHs1KNanTSSTqeNoxdA6llxSVIB1V0awraNH9Jpu1qoY1Kk+bJvs/va3v42PfvSjeO211xCPx/H3f//3ePPNN3HixAl0dnba1QziUqpCQTy8ZhmOnIhhy66DGeegtDaGcfmHzkBVbmGA1CqkULAwZ5J8T+8gKssyVyG53VHInS0hdv9WwRXeRAtG7UXvuddmalfON0i9puW+jZwbw7NfvI/cGbn3r1piWzvEbLakSL7Ij5x+9cZUq84j06Mznj9MpHCT71WjGTE9jsYTquxbbTyzK+5pwe25PSGEuBk3xTqvU1VWjHVXRnLGpIRBd6mcWohj5cFC2ev7ZQzGjPyA+bs/sNP/CDqbmk5i29qLM7QpEAoWoiYUxKG+kYy80qvjo1I6+eY1S3D/82/hVwf6Mv5O/eQfchq8f9USvDswiorRuGn9q+w+7aG+EdnFJHrGkpsjtdjc1pRx1K3a6ylhZ7+TcU4/tk12L168GHv37sUPfvADFBYWYnR0FNdeey2++tWvYu7cuXY1g9iMFkcQChbi+7u6c8rD7FY44+gTi+rw+Uvqsb2zJ2OSvCVSi79cMT/1b7c7CqfPlkiHK7yJFozYixvsXso3PLxmGZKApN9Qe99m3GN5sBAbr16MobFJVAQLEQoWoTpUzAEoDyGsZH1/eBzvDY4BALqODuFTm3djxYIaW2KRmM12HR1Cc6RWtDSbnH7tiKlacgg9OnOD/yHuRuuuaqcmXsX0+OC1S/GLvcexu1vZvtXGMzvjnhrcntsTQogXcEvVLK8TLCxAV+9gxpiUMOj+k9/1ZsRIIVcoDxbh9d5BbHr+LbS3NOjKyb2EGfkB83d/YYf/EcsXrzz/DPzfv/oI+kfiGJ9MoKy4EGdWlWLT82/hV29nTgI/eO1Sz42PyunkG0/vw4X1NRmT3dRP/pKtwbJgIfb0zoxTCZPFVvWvrBhL7uweQAEC+PHNl2IwNpla2LJiQY0hrdrZ72ScM4Ztk90AcOaZZ+K+++6z8yuJg2h1BP0j8ZwBOQHhbIVsMVeFgrj3sxfg73fuzekUdHQP4BtP78OWtiYAuRNWwnXd4ijUnC1hVxu5wptowYi9OG33cknEb/7wgeJEgZr7NnqPbqn4QMzhmz8/4FgsEtPqto4ebFt7MQoCAdEFH2LtsSP51pVDaNSZ0/6HeAO1lQicmniV0mPdrBLVebXaOK72fXZoi4MAhBBiHlZV3ckXorE4Njy9L2dMqrN7AAEgFSPldqHdsXMvHlqzLPU5AT+NwZiRHzB/9x9W+h+xfDEULMQXLl2Ah//j7QyttURqsba5Aa8cHkhN8r18sB/3PvcmHli9FN94ep9nxkfldNLRPYAbmxty/k795C+CBqOxONbt6LKtf2XVWPLu7n6sbV6Im554Dc2RWmxbezEWzg7pbrvd/U7GOWNYOtm9d+9e1e9dtmyZhS0hdqPHEeg942h8clp09avwff0jcQBwvaNw2znZXOFNtKDXXpy2e7kkQs1Ewbl1FYr3beQeOZjvL9yQtEppdasG/Vp9H3blEE77H+IfnPTVUnqcmJqW/Vy2fauN42reZ4e23OBPCSGEEEB5Yml8clp2FxoA/OUl9Vi/owvtLQ1ob25AVVkxakJBX43BmJEfMH8nWhDTZntLA7Z39ohumEqeej29QsMLB/qw4VOLPDU+qqQTqX4C9ZPfONG/smosWbDxzu4BFAYCqY2QerD7d2GcM4alk90XXnghAoEAkskkAoFA6u/JZBIAMv6WSEjX6CfeQ48j0HsOihonkJR9hzschRvPgeEKb6IFPfbitN3L+Q+1EwVK923kHjmY7y/ckrRK2axaW7L6PuzKIZz2P8Q/OOmrpfRYUlQg+zkx+1Ybx62Me2pxiz8lhBBC1MYkqVyhs3sA7c0NiMUTqUm2Z265DOfWVZjbUIcxIz9g/k60IKbNpvnVGZPZ6QhazLnO2CTOOaPCM2MvSjqR6idQP/mNU/0rK8aS023caH/c7t+Fcc4Y8qMgBunp6cHhw4fR09ODnTt3oqGhAY8++ijeeOMNvPHGG3j00Udx7rnnYufOnVY2gziAHkcgnNUghtxZDWqcgBcchd77J8TLOG33cr5Bz0SBGEbukYP5/sILsUgNVt+HXTmE0/6H+AcnfbWUHruODqE5Uiv6mtX2bYe2/OJPCSGEeB81MUnrTks/xjEz8gPm70QLYtpU2tQg9rrX9Cink5ZILbqODuX8nfohXupfydl4s4iNG+mP2/27MM4Zw9LJ7gULFqT+e+CBB7B582b89V//NZYtW4Zly5bhr//6r/GP//iP2LRpk5XNIA6gxxEIZzVkC1rprAY1TsALjkLv/RPiZZy2eznf0HdywhS/YeQevZRsEmW8EIvUYPV92JVDOO1/iH9w0ldL6XFbRw9uvbLREfu2Q1t+8aeEEEK8j5qYpGUXml/jmBn5AfN3ogUxbSptash+3Yt6lNPJA6uX4p3jwzl/p36Il/pXUjbeHKnFjc0N2NbRk/F3I/1xu38XxjljWFrGPJ19+/ahoSG3FEhDQwPeeustu5pBbEJwBC+LlGla2RhGUUEAXb2DqCwrRrj8dLkKPWc1CE7gjp17M74v2wmoeY/T8Jxsko84afdy/uOKD52Byz90hmG/EY3FMT6ZwF1XL8Z0MonYRAJVZeruUcmXuinZJMqojVduR+o+WhvDuH/VEsPX12v3enwJ4y4xAyd9tZQeP7ygBnMrS/Ht65ZjZHzKdvu2Wlt+8aeEEEK8j1xMemD1UgyMxpFIJtHaGBYtZZ6+C83vccyM/ID5O1GLmDa7jg6hJVKLjqwzu4HcXc9e1qOcTh65bjn1Q3LwQv8qGoujfySO4fFJVJUVp/q60bFJjE8m8MrhAazf0YVY/PRxyUb74078Loxz+gkkhQO0Leaiiy7CokWL8Nhjj6G0tBQAMDExgfb2dhw4cAB79uyxoxmaGR4eRlVVFaLRKCorK51ujqc4NjQmOhD+1SsiaH/81ZTjWdkYxkNrlmFedZnoddIdWWVZMSpKijA6MePI0ifLhffJOQE17/Ea2b9P+uKBfIbatRa/2Z2cb+gbHsfoxBRik4mZiepQMebMKlF1v8eGxnD7zr0ZgxpKPk/sGlJJ1VyV1/ASXtVudtJdXlKEkfEpUY24ORZp0XY0Fsf7w+N4b3AMwMzAwbaOHqxYUKPJxsXIN7v3Ol7VrZk4bbNm6NGJ2G70O+X8qd9yFSugdt3Hnj178OEPfxifuHM7ZtefZ+q1T/S+gxe+dSNef/11XHTRRaZe26p2W9lmL0Pt6sPquJAekyrLihEsKsDREzEMxiZRHixCVagYj/zy7YxJtpWnFosOj8VRXuKufgHAWGo21K4+9Nqh8LnBWBxlxYWIJ6YxMjaFWRJafGD1UsQT0xgec6afTr25E7fq1ip7sXu8Su19iI2vfmJRHe797AWYmJpGEsC9z72ZM/5qVn/czeN45DS27ez+p3/6J3zmM5/B/PnzsXz5cgDA73//ewQCATz//PN2NYPYSPYqlPKSIrx2ZDBjohsAXj7Yjzt27sWWtqYcJyHmyFoitVjb3JBaqZM+caTkZKpC7nZEWgOV0kQaEyWiFTU2o2YC12u2J+Ubjg+N4ciJGLbsOojOtI5Q66mESW7yIBqL5/xOgLzPE4Mr+txPuiZCwUJsbmvC9s6eDJvJjlVufH56Fmd88+cHDNu4GGrsXq2f8Zo/It7EDb7aiB7NWJylFbHvbG0M48HVS3H27JCqa6T7U0Hr7w6MoqosiI3P7MfubvvuhxBCiHuxI86lx6T3TsRw+869Gf2BK88/A3//yfPx1YkplBQVZlX7KjelDWbiRG5gFUr9AfYX3IteOxT7nFDi+GtPvIq/vKQet3w0gtLibC06gx16U7uZjLgfK+3FzvEqtfchNr4aChbi85fU4+9PxdpQsBDtLQ34yuXnoqS4ANVlQdMri2mp8KllEwnjj3nYtrMbAGKxGP7P//k/ePvtt5FMJrF48WJ84QtfQHm5+5I6Abeu3vEih/pG8LHvviT5+ou3XY5z6ypS/47G4li3o0uyzFNTfQ227uoGMOMIjQyquwGtgUru91nZGMaD1y7FHU/t80XHRA/UrnbUTmLL2d2WtiaMxhO+6BRHY3H8Yv/7eH7vsYxBCgElv6PV55EZvKbdbE2suzKCrt5BXTbjJGq0nd1uJ21cbcz00yCdm/Gabv2IET3q0b9R5L6zJVKLh9csw1k16ia8gUyte9UPOwG16z64szsT7uwWh9rVht1xLhqLY92Te7BbJA4JY1mrLzzL1X1BJ3IDq1DqD9jZX6B2taHXDrWMJ7thXMYOvWndTEZO4zbd+sU/a7kPsb6uW/t8WmIKx6vMp8DOLwuFQvirv/orfPe738X3vvc9fPnLX3b1RDcxl+HxSdnXT2a93j8SF3V4ANDZPYCm+dWpf798sB/9I3HDbXQKpR2g0Vjuvcn9Pi8f7MeRgZim65H8Rq0NKtld38kJzbbsVvpH4qibVSKaOAHKfkerzyPeJFsTTfOrdduMkyhpW6zdTtm4Wn+lJ7YS4lWM6FGP/o0i950d3QM4MhBTrdFsrXvVDxNCCLEGu+Nc/0hcdKIbOD2W5fa+oBO5gRUo9Qf+NDzO/oKL0WuHWsaT3aBFq/UmpYOO7gFs7+xBe0tD6rto9+7HL/5Zy32I9XXd2OfTMgbF8SprsK2MOQD84Q9/wG9+8xv09fVheno647W7777bzqYQixErwVBZWiz7mVlZrysN2k1MZdqQXILippIQfxoex+BoHMPjU6gsK0JNKIixiSksn1+NtZctxMTUNEqLC7GndxDbOnpSDjq7vUq/z9CY+OtS1yP5jZokoyoUVLS76Ngk1l62ENd/ZAHmVZUBgSRGJxIoDxYCCCAam3TFWS9qGB6fzPEz2cj5nYoS+RCb7fOIN8nWhBGbcRIlbQ/G4ojGMmOHXFwPBQtREwri4J9OYmhsEhUlhagIFmEiMY2T41OG9KnWX6l9XzZazl8nRC1mxSep66jR46G+EdHvz9a/UAKuaX41JqamEZ9KZOjfjLJsavJYtflqtta96ocJIYRYg90LNNWMZenpCxrNJcRy3OGxSQyNTaI8WIjykiJUl82064TCILvSb+aWMTil/sDgqL7+ArEHvdrVMp4spUUz9DY0NomxeAInx6dQXlKIsuJCTCWTKAwEUCuTi2czGIujq3dQt5aUJv/bmxtS/6bdux+/bKzRch9ifV21fT4745Gc1l47Moih2GSqLWXBQtXvNeP4DTXvd0vsNoJtk93//M//jK985SsIh8M488wzEQgEUq8FAgFOdvsIqRIMD167FCsbw3hZRMitjWEUFQYyBtKUJsdLijILE0glKG4qCdE7MIoNT+/LWHnUEqnFN69ZireORVNldICZ0jqb25qwfkeXaKDS+vuk45XAR+xjUGVnVsnu4lPTuHVHFza3NeGh/ziQYevNkVrcemUjiosKMNcC7Zmt9crSYpwYlf9dgkUFOPTBSE4CcGxoDK8dGURzpFaypE64wlsJAxEnWxNyvhfIjVVuSSaVtB0dm8StO7oy9BSuCIrG9VCwENvWXoy7ss7LNatMmtpOkZ5OoNbz1wlRg1J8UusH5K6jVY/p35+u/3S7T89LhfcHAPy9CWXZ1OSxavPVbK1r9cOEEELsxe78V+vGC6u/r/rU+cBaMNrXzc5xt36hCds7ejJ2oAv99YIAMDKRkL2e3G/mpjE4pf7A8PiU7OscOzMPPbrXq12146VS4zJGbfj40Bh6T8SwddfBHI2tuyKC8clpPPiLA7hv1ZKcXFyM6NgkbnriNc3tEDBzMxlxHqMxzStjUOn3IdbXVdPnszseSWlN6GPf9cy+lE949Ivix/OIvTe73VrvS8373RS7jWBbGfNvfvOb+Na3voX3338fb7zxBrq6ulL/7dmzx9LvfvTRR9HQ0IDS0lJ8+MMfxu7duy39vnxGrgTDvc+9iQdWz0x4p9McqcUNly3EVf97N27d0YVjQ2MATjsyMZojteg6OpT6t1SC4qaSEH8aHs+Z6AZmysbc9cw+LJ5XlfH3zrRyMmKBSu73aY2EM36fbDjIR9KJxuKIK6yIE2xGzu5aIrV45fAA2lsaciaHgBmb3rLrIH7zhw9M157ZWo/G4igqCKDv5ASaI7Wi72mN1OIX+9/Hx77zUobvEtqy6fm3cGNzQ87nVzaG8fCaZZ5bHUfEydZE19EhSZvJjlXHhsawbkcXPvbdl7D60VdybMlO1MTcbD1VhYJ4aM2ynM9tvHoxvr+rO2NiDTCvTJraTpHWTmC2H/nry89B3/A42psb8OgXL8K2tRdj3ZURvHZkkGWliGrk4tM9z+7HeydiqvyAUpwDoEmP6fpL179UDBfe/5s/fGBKWbaK0iK0Kvgctflqtta1+GFCCCH24kT+K5fnWhEXlPrMC2pDmneIGunrZn++vaUB27ImuoHT/fXuvhEkk0ldsVQp7/nT8DgO9Y2gq3cQhz4YsTyfVuoPVJayGpsd6NW9Xu2q6dtKjcuYobff/OEDbMma6AZmNLb11904Hh3DeXMrRXNxsfYCwGM3rMCjX7wIa5sb8JLGMTWzNpMRd2AkpnllDCr7PsTGnrqODqFFJk5VlBbh9p178fqRQay7MmJIQ2qR0prQx073CVKT9WLvBfQfv6HGp7lp/swotk12Dw4O4rrrrrPr61L85Cc/wf/8n/8Td955J7q6utDa2oqrrroKvb29trclH5Ar1/DCgT7EE9PY0taEF762Eo/dsAKP3bACTfU1qV1e6SKqCgXxzWuW5DiulkgtbmyeSc4B+YkjN51jMTgalzxLoiPrzBiBzu4BXHZOrWigkppkaI7U4ut/cR7eOhYV/S4O8pFs+kfieOXwgPSkbprNSNlda2MYa0/pUu7clM7uAdTNKrHmXDSTtC4kf1dt3o0zK0ux7opIzm/TGgnjxpbTfijddwlticUTWL+jC031Namk6rEbVmDTqiWW7GwnzpCtiW0dPbixuSEndmXHKrclk3IxJT3mZutpXnUZtrQ14cXbLsczt1yGF2+7HCsW1ORMrAlkn5GmJxar7RRp7QSm+5FQsBBXXTAXP993HDc98Rpu+fEetD/+Krp6B7G5rQmvHRn0zFlYxFnk4tN5cyux4Sl1fkApzg2MxhEAcNXSuRkxZ9HcSkk9ppcpFPSvdPZZ3awS2Wupbe/oxBQeXL00x1cKPued48Oq89VsrQt+mIvNCPEPBw4cwJ49e0z/j+NC9uJU/iuV51oVF+T6zA9duwxn1YQ0Xc9oXzf7803zq9Eh01+fU1mKwkBAVyyVamsoWIjPX1KPr//bG65a6FBTbu9CiHzEiO71aldOg5tWLcG1TWdhS1uT6LiMGXqrm1WiqLGm+dWiuXg6zZFa3POZC/Dj3x7J6JM+v/cYBmPqd1+bsZmMuAe9uvDKGJTUfWSPPV3bdBYeulb686MTU3j9yMz4TVfvoCENqUVKa2J9bKkF2kr9cTXHb6Sjxqe5af7MKLaVMb/uuuvwn//5n/ibv/kbu74SAPDd734XN910E26++WYAwD/+4z/il7/8JX7wgx/gwQcftLUt+YBiiaCxSZxzRgX6R+KpEizZpIvo/uffwoX1NbixuSF1lnUymUR5sBD/56ZLUXWq/JOUI3fTORZK5ZFCwSJsW3tx6qzuWHymbFRJcYHk/QmOvn8kjpPjkwgWFeAX+9/HTU+8iofWLMPE1HSGg2zlIB8RYXh8Ets6erC5rQkAckqP3/fZCzJsJtvuykuKUBgI4OAHI9j6hYtQVBDI+Y50JqambT8XTe33ZSd/X31yD/768nNw+yfPRyAAjE9OIwCgo7sf657sSukUOO270tsSiycyysACwDO3XIYFKFd5Z8QLZGuisqwY3/nchRgZn8LJ8UnMKs2NVXrPk7YS4T7+ODSGdwdiKCkqQNfRodSCNIFsPVWFMu+tq3dQ9nuMlkkTOkV37NybUcYqu1Ok9n0C6dptb2nApuffFK1QUQDgJ3/1Z5hOJjW1m+QncvGpaX51TowQyPYDSnEuMZ3MKS8OSJdHExD0J+j/D30jsu+XOxstXctq+gQX1tfg4TXLcGQghqGxyZTP+cnvenH/qiWqfWC21oXFZhuvXoy7r16MsXhC1A8TQtzPWHQAQADXX3+9JdcvKwvh7bcPoL6+3pLrk0yczH+z83Wr44KZ32e0r5v9eaVzToXXv/7/fo/2lga0nxqPW1gbwlnVZbL3INVWpcoxW9qaMhYFm1ViV6k/MKeyVFN/gWjHqO71aknv58zQm1qNpV9PbHz3eHQcD/37Aex6+4OMz3d2D2Djs/vxzWuWoLqsWPGepHSQfswYQLv3Enrs281jUGrvI3vsCYDk57t6B2Urj258dj+2psUeM5DSmhhS4/BKnJyYQihYmDFGl/F6lo9S49OURra8dLSBbZPdkUgEGzduxH//939j6dKlKC7O3Na/fv16078zHo/j9ddfxx133JHx9z//8z/HK6+8IvqZiYkJTExMpP49PDxserv8jNqSoWqTh18d6MOvDvSJvucX61sA+Tk1289mkkOpPFIsPoWbnngt46zuWDyB6jLlpEVwzIf6RlKDput3dGV0TEqKChA5o8K3O0qpXf1UlhanBoazbUaqHL5gd2Jnevz45ktlv6+kqMD2c9HUnpOcnfzF4gl874WD+N4LBwHM+J1Pbe6Q/J6T45Ou8jtewC/aFUu651RKv9/qxVh6B4kEHdzyY+kjZpRs2I4yaWo7RVo6T+ntlpuE3N09gLUnx/H4K+/iYY+dX2QWftGtWowMusrpQWkgLN0PKOkqMZ0UHbzQcn51VSiI2Qr3JXe99GupjYVn1YRQUVKU0ujqC89CuKVB86CD3ZMYXiXftEu8z2TsJIAkLvzC7Tij4XxTrz18/F38dtt96O/vd/1ktxe1KxY7nd6MIJave+H7jPYvsz+vlBsIr2cv3H7xtst1n7GsdoGfFWeGKuUIVuYQXtSuUbK1Hx2T3xGoRvd6taTnc2bo7cSo/D2nazA7F08f3wWQM9EtsPtgP7r7RvDEK++q0oeYnVeUFmF0YgpP3nwpc+c0vKJbrfbtdAyWwmiszP58NBbHob4RTE0n8RcXnCk9rmPRBL+Y1sQ2SqSPw2/89GKMTyYk35vO5NR0xrxRNtk+yowxai+NY9s22f2jH/0IFRUVeOmll/DSSy9lvBYIBCyZ7O7v70cikcCcOXMy/j5nzhy8//77op958MEHcd9995nelnxBKNcgtnolvRSKGqEpOeF3B2K45cd7ZBNfte2xg5ryIFoitaKlbNLLxgiredpbGrD36JCmNqbfb3bHZGVjGFtOrRjyI9SuftLtJjsJWNkYxpdPna+bjVQJnP86PCBr630nJ7BiQY15NwBtWpfrQCv5HamVcwJCB8EtfscL5Kt2rVwUYXSQyKgNy33ezDJpajtFat+X3m41q/F3i+xEyRfySbdW6qm6TL0fUNJlLC5eQUgojya2WlxMf0rf03dyIufvYtfS4kfMmgywexLDi+STdom/qKirx+z685xuhmN4TbtSsfPOTy+S/ZyXBlPtxOzcvOvoEFojtTnngQIzufqfhsdxLDqu+Xvk2qpmgZ9SiV0jObdSjmBVDuE17RpFTPtPKmyGcJvuzdDb7949oUpjSueOvzswKvtdE1PTmvTBXFkdftVtPmzMyfZBaqucmY3YBLyYX4nFE9h7dAhfTlvsLfVeYMZ/vHJ4AG+c2rUuNoavtX8vvN8v49i2ndnd09Mj+d/hw4ct/e5AIHP7bzKZzPmbwIYNGxCNRlP/HT161NK2+Q215y2oOUdT7c4wubMl7D6bSY45laV4QOZsQuE8VOD0Wd1a2+im+7Ubalc/eu1GqgTOto4erG1uQGsk97yhW69sxBUfOsO2c9G0npNcUSK/BqyqrFjRd+WzDvWQr9rVep60Wsw4h8moDQufb836fEtWvHObJtLvW+2OF6+dX2QW+aJbq/W0oDak2g8o6lKiEpBwfnV2TJY62kbpez76oTNU+QbGQneSL9olxG94SbtysXNP7xDPR9aBWbm58PltHT24sUW6vx6pq8gYn9ISu6XaqmaBn5/ODBXwknaNIqX9V05thhDDjbo3Q28f/dAZWHdlo6jG1l3RiLlVZXjn+LDiueNn18gvrM33PqlV+FW3Vo1BuQUxH6SlypmVaPErUuNp6fNHHafmjZSupfa7/dR3t21ntxOEw2EUFhbm7OLu6+vL2e0tUFJSgpKSEjua51vUlAASO8MgFCzExqsX46L6ahzuH8XscvU7w+TOlpAr1dLVO2j4DCAt1NeW4zufuxCDozMlfU6OT4mehwoApcWFukqO52sZR2rXGHrsRmoXtFCK5elbLkMAAQyPTyIULER5sAjVoczzhMw8j0vNPYh1oEPBQrS3NKBpfjUSySRaG8OineyVjWHUzSpRdaZXvupQD/mqXaXz47JtRa1WzDqHSasNi7Vva1sT+k5OIDo24wNmlRRhIjHt6jJpwn0PxSYlfUF2DuKl84vMIl90a4eetPgBuevIrRZ/8rdHsLZ5IdY2L0wdU1I/OySZZyrpX+w1YKbcYroPyKdYaGY+YyX5ol1C/IaXtCsXOzc9/xZ+sb4Vdz+7n+cja0RLTBWLSdmfrywrxiOfW45obHImVy8pRKi4EOUlRSgpKsDP1rXojt1SY3BKu8YO98vvYvVizu0l7RpFbjPE5rYmBAKBnGoPbtW9kXHkaCyOWDyBkqIA7l91ASYS0zg5PnPGbqi4EIlkEgWBAB65brnivZ9ZWap6XNyL+nArftWt1r6nVxBi3olYHDc2N2D5/Gps6+hBLJ7QVOXM6v6cljg+r7oMG69ejKMnYhnHjKbPH5UWF+LF2y5XFavVfLdf+u6WTnbfdttt2LRpE8rLy3HbbbfJvve73/2u6d8fDAbx4Q9/GC+88AJWr16d+vsLL7yAVatWmf595DRqSqOki2h0YhKVZUFsfGY/Njy1D8DMBNS2tRcjCWQkRMJKlvU7ujKuJxfY09tzbGgMX/9/vzf1DCAtzKksxZzKUhzqG8Hnfvjf0m1WWPkqB0vTED1otRu56guxeAJFBQU4t65C8j1WnMeldA/ZE/ShYCE2tzVhe2cPtu7qTv07mUxmlGHPXPEmPtAvtnqOOiRyqE0mtWjFzHOY1NqwXPsa58xS/X1uQbjvh0U6gmI5iB/KfRFx7NCT1k6l1HWkBi+aI7X4wqULcGvWwsoXb7tcV3vFXlPyUX6PhVbkM4QQ4lXkYmcsnsDwWNwXg6lOoCY31xKTjw2NYdPP3xJ9r1w/Xm9blSZZKkvld6Yy53Y3Spshnv1qMwoCAc/oXs84stk5oVx+zz4p0YNfJjQFxDTXHKlNnWktLLYBkDHhnT3Bb1d/Tss4cWEggJueeE36WmXFmmK1mu/2wzi2pZPdXV1dmJycTP2/FFIlxc3gtttuw5e+9CWsWLECf/Znf4Yf/ehH6O3txd/8zd9Y9p1EPYKIorE41u3owu7u07u821saEIsn8DeXn4s7P70IAQDHh8bxWu+g6E5oNYHdyjOAtMJzfYnXMWLDTmlxdiiIx25YgYmpaZQWFyKZTOLHvz2SSnqEjlh7SwNu+WgEpcWFqCoTr07h9QSAuAMlW9KqFbvPYXJTXNWK0spdoSPYd3ICvSdiAJCzmpbx2l7s3j1rl57MiinpgxfRsUmMTybwyuGBnLzZTLv1sg8wg3y/f0IIyUYpdpaXFLMvdQqz8xotMcmJ+KU0ycIxMm+jtBmiIBAwvIhCDqv6CWq1YpWm2CclZuOXGCylOWF8VzjTWhjj3fjpxRifTOTEHjvjoRY/xZioD0snu3/961+L/r8c7733HubNm4eCAnOOE//85z+PgYEB3H///Th+/DiWLFmCX/ziF1iwYIEp1yfmkF7uJnunpUBrYxj3fGYxfv/HodTfhEnxy86pRXQsjkMfjMg6CrPKUZqBX8uHkPzBiA3r1aKaxEDqPceGxnDXM/tTi2oAoDUSxg3NC/Hfh0+kOgqxeAJbd3Vj665uvHjb5ZZ2yAhRQqtW7E6I7YqrWjoFat6rduWu0BEsLylivHYYJ3bPeqGDKWbvQtz64+DMgNjiuZUoLS7Ent5BvHN8GPevWmKa3bopt3aCfL9/QgjJxgux0w1YkdcMxSax9rKFaLukPhX3hVKu2THJyv64HEqVYzhG5l2c1L4VepIrjSyQrhW1Z87r0Q/7pCQf0Bpf5DTX2T2A9uYGADNjvHuPDuHLLQ0Z1xO+b2IqYUt/TqufYkzUh+vO7F68eDHeeOMNnHPOOaZd85ZbbsEtt9xi2vWI+aSXu2lvacD2zp6c8xR2H+zHPc+9iauXzsXmtibcsXMvHlqzLGdSXM5RmFmO0gz8Vj6E5B96bViPFtUkBlLvefDapbjjqX0ZE90AsLu7H9NIplb8qWkHIXaiVSt2J8R2xFUtnQI179Wzcpfx2lmc2j3r9g6mnL0HgJm4l/Zaa2MYD65eKnlWtx7cllvbTb7fPyGEZOP22OkGrMhrZhZ278PutHG09FKusXgiIyZZ1R83CnNu7+KU9q3Sk1xp5PQJb0ErSpoaGovj3p+9aUg/1AfxK3rii5LmJqamU9fJ9kHp3/foFy+SvY4Z/Tm9foqa147rJruTyaTTTSAOkF7upml+teikE3B6Zc7jr7yLn/7Nn2HjM/tzJsXlHIXd5V3V4JfyISR/0WPDWrWoJjEAIPmeIwMxVSv+lNpBiN3oiVt2JsRWx1UryjHq3cnCeO0cTu6edWsHU8ner1o6N+e13Qf78Y2n95m6OMCNubWd5Pv9E0KIGG6NnW7B7LwmlRNkjY1ll3JNj0lW9MfNer7Mub2LE9q3TE8KpZEFBK0oaWpictoU/VAfxG/ojS9KmltYG8KLt12e44Oyv6+kSL66tBn9OSN+iprXhjm1wonnicbiONQ3gq7eQRz6YATRWNzW7xfK3QCnV95IMTE1kyCMT07nJPMC6SVipL4nG5bUIsQ+tGpRTWIg956hMXUr/pTa4bSvJPmH3rhVFZopZXxhfQ3OrauwLDm2Oq6qLQen5b3ciek9zHxmevy4XXrSgpK9180qkXxNLEfWS77n1vl+/4QQIoUbY6cRzOwHmp2LKpVybZpfnROTrOiPEwLo175ejTmhJ4F0rchpqrUxjFcOaxu/JsTrqNW03viiFMfOqi4T9UHZ39d1dAjNkVrJ65jRn+MYlH24bmc3sR+rSxGpOXMhvdyN0ooa4fXh8SnZ94k5CpbUIsQdaNWimsRAri6Ikl+ZV12Gx25YgYmpaZQWF+JPw+O44kNnSJa5SW+vlefFEuL2uGVW+6RyBS2dArXv5U5M72HWM9Prx42eT2kFasu2iWFmZ9rtPspq8v3+vUBvby/6+8UH0IwQDodRX19v+nUJIe5DKn94eM0yhIKFmnMEs3NRpZwAQE5MsqI/Tohejg2N4e5n9+P8uZVoml+N49Fx9IWKUT87hLNqQrKftVtPUqWR5TR1z2cvwGe2dEhek/ohfkNLv1tJc9GxSRzqG8mJs3r7Ydnft62jB5tPVQtNrx5sZn+OY1D2wcnuPMfqUkRanJtQ7mYoNonWxrDoqp7mSC26jg4BACpL5c1XylGwpBYh7kCLFo0mBl1HhyT9SmtjGAeODWPD0/tSf1vZGMblHzoj9W+nzoslBHB/3DLaPrlcoaJEPtaXp72u1k8IK4BfFvEH3InpTsx4Znr9uFsXOinZu9wiL7M70273UVaT7/fvZnp7e3H++YswNhYz/dplZSG8/fYBTngT4nOk8ofXjgziyIkYvr+rG7u7teUIZueiSjlB/ewQ5oq0x87+OCFSRGNx3P3sfvzlJfXY3tmTUSK8JVKLh65dhrNnS094260nqdLIgLSmBkbjGed8Z0P9ED+htd+tpLnxyQSu/cErqX+nx1k9/bDs74vFE1i/owvtLQ1ob25AVVkxakJBU/tzHIOyD9dNdgcCAaebkFdYeQainkFFYWXOwyIrc5ojtbixuQHrd3RhZWMYNeX6HQXPOyDEHajVotrEQOo97xwfxoOrl+IbT+/LWfF3yxURtD/+asb7zTrjlxCzcHvc0ts+pVzhW9csQXOkNmOFrUBzpBbBwtMTemr9BHdieg8znpkeP+7mhU5K9t53ckL0c1Z1pt3uo6wm3+/frfT392NsLIZL2+9B5dyFpl13+Pi7+O22+9Df38/JbkJ8jlT+0N7SgC27DubkqGpyBLNzUaWcQOpoE6EtZvbHCdFK/0gc58+txPbOnhw9dXQPYMPT+7DVRXo6q7pM9ppSmqJ+SL6gtd8tp7mWSG3OEQDZcVZrP0zs+2LxBLbu6sbKxrAlfXyOQdmH6ya7k0m5QrTEbKwsRWRkckhYmfP+8DjeGxwDMLMzc/2OLqxYUIOH1yzDnMpSOgpC8gS1iYHUe+5ftQRzRVb8FRUEcNXm3aKrbNP9FMu2EWINSrnCSHwKNzY3AMgsKSUsgIuOxQGUA9DWgeBOTO9h9Jnp8eNuXuikZO/C/zNHJgSonLsQs+vPc7oZhBAPIpU/NM2vztiBmo6aHMHMXNSOQXQO1BOrGB6flNXTbh/oifoh+YTWfreUPlobw7jhsoVYv6Mr5xpG+uJO6ZFjUPbgusnut956C/PmzXO6GXmDlaWI1Jy5IIewMufMylL0j8RRWx7E6gvPynAEdBSE5A9q9K7WJyQBIAAMjE7IlpPiGb+EWItSrjA6kVlSamJqGiVFBakFcD9b15LxfsEH9J2cQHRsEqFgIcpLihAKFuZcmzsxvYeRZ6bHj+td6GTXGd9KMY85MiGEEGIMqfxBOLdXCjWLoc3MRcuDhdi0aglG41OIxROoKitG3awSU+M+x9+IFVSWFuN4dFz2PXboKT1/ryorxrevW46R8SnTbJ36IfmCnn63mD4SySSu+X6n5JitkU1HUnoEIHo+uFlwDMp6bJvsHh0dxUMPPYQXX3wRfX19mJ7OTAwPHz4MAJg/f75dTSKwthSRmjMXjg2NKZ53qOQI6CgIyR/U6F3qPWLnrj5586Wy1+IZv4RYi1KuUFVWjBULakRX+ktpbzSewP3Pv+W6M5aJs+jx43o66naf8S0XF5kjE0IIIcaQyh9KigokPjGDnYuh5XKPKumjjnXB3IKYTbgiiD8NO7u5QE5D59ZVmPY91A/JB/SOn2br41DfiKVn3Wd/n939eGIN8tmZidx888147LHH0NrainXr1uFv//ZvM/4jziCUbljZGM74uxmlGwTnJkbzqTMX7ti5F9FYXPd3EEKIGqTOXX3l8ABaIrWinxE749cKX0lIPiOXKwhnDGrRntIZy8w58hc9flzJPrM76rQ/QgghxF9I5Q99JyfQqiFHsArmHsTrVIWCWFAbUjUuYwXUECHmYtb4qda+uBHoB/yDbTu7//3f/x0///nP0dzcbNdXEpWoKaWipxyj4NyynYVwzub6HV2IxROOnndICMkPpM5d/b+/68W2tRfjlvEpDI1NorS4EHt6B/HO8WHcv2oJz/gleYVdpZfTUXNeUlVIfTlmN5+xTJwlGotjLJ7A//x4I77x6UUoDARQWBBArYydaz3Pi/ZHCCGEiONEnmkWUv3Ayz90huNn8DL3IE5ilq7PqgnhoWuXYcPT+3J2VVqtJ2qIEPMxY/y0KhTEw2uW4Td/+AB1s0owMTWN0uJC/Gl4HFd86AxTdUk/4B9sm+yuqanB7Nmz7fo6ohG5UipGyjjMqy7DxqsX4+iJWM45m0IpCiNnLOjFyx0tQtyA1zQkdu5qKFiIh9Ysw8P/8TY6uwdSf29tDOPB1UsxV8S/sewU8StWlmxS8hdqOkJqtaf3jGXib+TLe8rblZaOulvsz2sxmhBCiL/xQ2lQsVxUy4JMraiN5W7JPUj+Ybauz54dwlYT9KQ1D6aGCLEGM8ZPkwB+sfc4dndn+pnLP3SGwdZl4gY/wD68Odg22b1p0ybcfffdeOKJJxAKmXxoDLGEaCyOodgk7npmH3anTQQBp8s4bGlrUhReYSCAm554TfJ1PWcsGHEAfuhoEeIkejXkZODOPnc1FCzElrYmPN7ZkzHRDQC7D/bjG0/vU+XfCPEDSiWbjGhBrb8wayGJ2jOWzfZH7Ji4Fzn7vn3nXmy8ejEKCwKyz0ytfeo549tsrMhzad+EEEL0YmWe6QasWAz9x8EYjgzEUpXHXny7D+8cH8Z9q5bkxHI35B5egfmMeVilayN6isbieH94HO8NjiEQCGBP7yC2dfRgxYIa2TzYSxqiDZN8IuVnuq3PHypLixEKFqK9pQFN86tTu8gFP2KGH5DTL+eqzMPSye6mpiYEAoHUv7u7uzFnzhwsXLgQxcWZRrJnzx4rm0I0Iohs7WULcya6BdSWcRDOWHhZpByE1HmHcsHbiAPwe0eLEKvRqyE1urUycU/3Q6FgITa3NaG0uNCwfyPED1hVsknwF68fGcS6KyMZnYaX/vABPrXkTNM1pibnMLsjwY6Ju5Gz790H+3H0RAw3PfGarmeWHbcqSovwiUV1eOFAX8577Ti/04o8l/ZNCCHECF4uDerExNJ7J2K4/am9GQuyhaMA73l2Px65bnlGG7SOt+UrzGfMRY+urdTTsaEx3P7TzEmx5kgtNrc1Yf2OLtk82Csaog2TfMPO/CFcEcS2tRdjy66D2LqrO/X35kgttq292LAfkNNveXBmfGztZQvRdkl9xiQ756q0Y+lk9zXXXGPl5YlFpA+UtV1SL/teNWUctJx3qBS8jQ7iGXWUXEVHvICVdqq3U6Ok29F4wtLEPd0PLZtfje2dPfjipQtkP8NyVSRfsKpkU/9IHK8fGcTmtiZs7+zJ6TT82Tm1mnyTGt+mlHMAMHUykIvo3I+SfU9MTQPQ/sykctZvXrMEADImvO06v9PsAQEz7Zs5NCGE5CduKA2qBycmlqKxODZkTXQDSP27qb4mJ5ZrGW/zKkZzCObr5qNV11YfmSW2+1PQTXtLA7bu6pbMg92kISlbpw2TfMTu/OH7u7pF429BIICtbU26r5uu3+zd470DMZxVXYoX3nofu97+IPWZ9MU6bl4U6EYsney+5557rLw8sYj0gbKSogLZ96ot46DmvEM1wdvoIJ4RR8lVdMQLWG2nejSkpNuh2CTuena/5Ym74IeOR8exdVc32psbZN/vpnJVhFiJVaXbhscn0d7SgO0ixwV0dg9g47P7sdXgxKKYb5PLOQ71jZg6Gejl3Ur5gpJ9p+e6ap+ZXM561zP78e3rluOOq6ZMP79TCbMHBMyyb+bQhBCSv3ipRLCAUxNL/SNxycpjnd0DaG9uEI3lasbbvIoZOQTzdfPRomur9ST3fAXdAPJ5sBs0JGfr45MJ2jDJO+zMH2bir3Q1OCMaE3yUUGU0eyNIS6QWa5sb8N+HTyAWTwDIXKzj1kWBbsW2M7vPOeccvPrqq6itrc34+9DQEC666CIcPnzYrqYQBdIHyrqODqE5UpszSA1oL+eidPaKmgTU6CCe3rM8K0qKuIqOuB6tnQg9K6T1JBtKuh2NT9mWuFeFgjjcPwrAXP9GiBtRq3GrSrdVlhajaX51RiKfjtpOg54BEqmcw+zJQK/uVson5Oy7OVKLrqNDGX9T88yUctaR8SmcW1ehq71GMHtAwAz7zpedKNy5TrzEgQMHPHFN4g+8UiI4HacmR9VUo5GK5XrOOnZ77DIrh2C+bj5adG21ntRWcVLKg7M1FI3FcahvxBZ9KNn6XVcvlv08bZj4ETvzByvjhHBtqY0gHd0DSOJ0FQoBYbGOGxcFuhnbJrvfffddJBKJnL9PTEzgvffes6sZRAXpA2XbOnqw+VSphnQxWlHORY1jMTqIp/cszydvvpSr6Ijr0dKJ0LtCWk+yoaTb0XhubEjH7MRdaI+Uf2v1Uck3kr9o0bhVpdvCFUG8OzAq+x4zJha1xGCzJwO9uFsp35Cyb+H8y/U7ujLer+aZuXXQ1OwBATPsOx92U3HnOvEKY9EBAAFcf/31ln3H5ETcsmsTb+KmEsFqcSrOK8Xd6rJi0wb3vRC7zMohmK+bjxZdW60nNVWctObBdutDydanp5Oyn6cNEz9iZ/5gZZwQri23ESS9CkU2blwU6GYsn+x+7rnnUv//y1/+ElVVVal/JxIJvPjii2hokC8lS+wlfaAsFk9g/Y4utLc0pERXPzuEulklpndK1DgWo4N4es/yHBpz56AmIemo7UQYWSGtJ9lQ0m11mb2dz/T2pPu3ialpVJcV49y6CsypLDX1OwmxEz0at6J0W1UoiLNr5AcD7J5YNHsy0Iu7lfKRdPuOjk1ifDKBVw4PYP2OrlSpMED9M3ProKnZAwJm2LdbFwaYRb7sXCf+YDJ2EkASF37hdpzRcL6p1z6+77+w/7kfYWpqytTrEn/ghhLBWnAqzsvF3ZZILRbUhkz5zbwSu8zKIZivW4NaXVutJ6UqTn0nJzTlwU7oQ8nWY/EEbZjkJXblD1bGCeHaQpUJKcReP7umzBXx2EtYPtl9zTXXAAACgQBuuOGGjNeKi4uxcOFCfOc737G6GUQD2QNlsXgCW3d1pwbK5lq0ylONYzFjEE/PWZ5mnV1OiJWo7UQYXSGtNdlQ0m0oWGhr4p7dHmFlndAeTnQTr6NX43rKHypxZmWpYX2bOUBi9mSgF3cr5Svp9n1saAz/9NKhnIlutc/MzYOmZg4ImGHfbl0YYBb5sHOd+I+KunrMrj/P1GsOH3/X1OsR/2FFnmkVTsV5qbjb2hjGg6uX4qyakCnf45XYZVYOwXzdOtTo2mo9yelm06olqAkVa3rGTuhDydaryoppwyRvsSN/sDJOCNd+t1++6mH23NPKxjDO5Pi0Ziyf7J6enlmV0NDQgFdffRXhcNjqryQGicbiGIsn8D8/3ohvfHoRCgMBFBYEUGvx+T1qHYsZg3haz/Lk2b7EC6jtRJixQlprsqGkW6NJhdbzxry2u4AQLejVuBXn9pnRaTB7gMRs/dOfeA/hmQ2MxpGYTiIxnUQsPoXYZALRmPIAltsHTc0cEDBq325eGGAGft+5TgghVuD2s6KdjPN25JVeiV1m5hDM181Dq37t0JOZz9cJfajd/EUbJmQGK/IIK+PEvOoyFBYE0NoYFl1M0xKpRdfRodS/ebymfmw7s7unp8euryIGkDuXxA6BqXUsVq3qkVpNJ5ztWxAI5Pw2dD7ELajtRDi1y0pOt0aSCr3nKXlpdwEhWtCjcSvPJTPaabBigMRs/dOfeI+qUBCj8YRuu8+nQVMj9u32hQFG8fvOdUIIMRsvnBUNOBvnrc4rvRK7rKjI5PW8w2n06tcOPZn1fJ3Qh1pbpw0TYm0eYaXG5lSW4mERnTdHavG//uJ8DI7G8egXL0JJUQEiZ1RYVlnZ71g62b1582bV712/fr2FLSFqcMu5PU4Gb6nVdLF4Aj/5XS8euW45RsanfD+oSbyLmk6EW3dZ6dG+W/wWIW5Cq8bt0JHR2J5PE4vEHsywew44qcPP+nVrTmUFvb296O8XL+tplHA4jPr6ekuuTQhxD17ru/k1znspdvk5h/AaRvXrFT05pQ/aOiHKeC2PyEbQed/JCfSeiAGYqSbc9s//nTpibWVjGFvampxspqexdLL7e9/7nqr3BQIBTna7ALlzSV47Moih2KSrS02ZgdxquvtXLcGcylLMqXSwgYSoQKkT4YVdVmpL0njlvDFCtGC0JJNWjXtFR14ZICHewCt2byV2lpH1q369kFOZQW9vL84/fxHGxmKWXL+sLIS33z7ACW9CfI5bYq/by6hbjddil19zCK+hpN+B0XjqfV7WlpP6oK0Tr+BUHHVLHmEEQeflJUWeicNewtLJbpYudy/RWBx9JycwNDaJ8mAhykuKEB2Li743FCzE5rYm3PXMPuxOO7PajaWmzICr6Ug+4GY7V1uSJhqL40RM3G8JuOW8MULUYlZJJi0a98q5fU6Q74OhfkR4psKAnBRut3ujtumVMrJewM05lVn09/djbCyGS9vvQeXchaZee/j4u/jttvvQ39/PyW5CfI4bck65+FceLHR93mdWbpoPsYuYi5x+Q8FCJAGs29GVoa3WxjAeXL0UZ88O2dDC0xjVCfVBiDRicbS1MYx7P3sBAgBqLYydRvIIt43t0M9Yg21ndhP3cGxoDLf/dC92d2eeD/CNqxaJvr+9pQHbO3vQmTbRDXinRIQeuJqO5ANutHO1JWmE5GrtZQtlr1cWLLSwtYSYi9klmdRq3Cvn9tkNJwP9R/ozfeyGFbLvdbPdG7VNr5d/cyNuzKmsoHLuQsyuP8/pZhBCPIrTOadc/Lt95158aulcbHhqX+rvbsv7zM5N8yV2EXOQ0297SwPufXZ/xgYpANh9sB93PLUXD69ZhrNq7JnwNksn1AchuUjF0d0H+3H3s/vRVF+DvUeHLIudevMIt47t0M+YT4GdX/bee+/h0UcfxR133IHbbrst4z9iD9FYPGeiGwA6uwfw+/eG0BqpzflM0/zqnIluAaFEBCGEmIGakjTpyVXXUXG/Bcws4tnTO4Sowu5vQtyCGvu3gorSIrRI6KglUouK0vxbG6k0GUi/4j2yn2nX0SE0S9i9286rTMcM23TK1xBCCMlvhLNwxbAj9srFv90H+1E3qyTjb27K+5ibEqeR0+9l59TmTHQLdHQP4MhAzBYbpU4IsRa5ONrZPYCm+dWW6k1PHkG/kF/YNtn94osv4rzzzsOjjz6K73znO/j1r3+N7du3Y9u2bXjjjTfsakbe0z8Sz5noFvjmzw9g49UXoFXCaUjh9jKPhBDvoKYkTXpyta2jBxuvviBnwqI5Uosbmxuw6fm3OGhPPINTpR1HJ6awtrlBVEdrmxswOjFlyfe6GU4G+o/sZ7qtowc3iti928/JMsM23VBGlhBCSP4hnIWbPVBtV+xVin8TU9M5f3NL3sfclDiNnH5LiuSnF4bGJm2xUeqEEGtRG0et0puePIJ+Ib+wbavOhg0b8Hd/93e4//77MWvWLOzcuRN1dXX44he/iE9+8pN2NSPvkXNKsXgCPQOjuPvqxSgIBFLnBUwnk7LXdHOZR0KIt1BTkibdjwl+q6m+Bu3NDZiYmkZJUQG6jg5h/Y4uxOIJDtoTz+BUacfo2CTW7+hCe0uDqI6evPlSS77XzXAy0H9kP9NYPJFh97NKi1FbHnT9OVlm2KbTZWQJIYTkL06eUakU/6Qm7NyQ9zE3JW5ASr9Kk0UlRQW22Ch1Qoi1aImjVulNax5Bv5Bf2DbZfeDAAezYsWPmS4uKMDY2hoqKCtx///1YtWoVvvKVr9jVlLxGySkVFQRQEAjg3LqK1N+isThWNobxssgqGK2lpqKxOPpH4hgen0RlWTHC5e4eUCSEaMeIzoWSNFr8TVFBAFt3dUtek4P2xCvosX8zqCwtRiyekNSRXRpyU47AyUD/IfZM0+3+xdsuz8h/nUZKD2bYplO+hhBCCAGcO6NSLv41R2rRdXRI9HNuyPsqSuSHb93QRpIfSOm3tTEsuntS0NbqC8+ypD3pOXNZsFD2vdQJIcbQEket1JuWPMIvYztuGi9zM7ZNdpeXl2NiYgIAMG/ePBw6dAgXXHABAKC/X7yUAJFGr4ErOaW+kxNYsaAm4+9CiYg7du7N+JzWUlPHhsZyzkj4xKI63PvZCzA+OU2xEuJBsn1RaVEB7nnuTfzqQF/qPSsbw3hozTLMqy5TvJ5af5Pux4RzVztFzoha2RhGRWkRDvWN0McQ1yNl/62NYTyweqlldmvXxJdc7iKWI2jxHWbDyUD/ofRM3RQr5PSg1zbT9VdVVowHVi/FN57eZyi3J4QQQrxCNBbHwGgc93z2Atz73JsZMba1MYyvXhFB++Ov5nzODXnfsaExvHZkULbP63QbSX4h5JXRsThCJUUoLAjgm9cswZ1P70NHmo0Kx8v95He9CLc0mN6O7Jx53ZURtERqM9ogQJ0QYhypMStB6+t3dAEwrjczJ3bl+s+tjWEkkkkc+mDE1WPFbhsvczO2TXZ/5CMfQWdnJxYvXoxPf/rT+Lu/+zvs27cPTz31FD7ykY/Y1QxfYMTABaeU/fnmSC1uvbIRC2eHRIVttNRUNBbP+c5QsBCfv6Qef79zb0bCTrES4g3EfFHLqTN+Xzk0gFg8AWDmDJQ7du7FlrYmVT4j3d9ExyYRChaioCCAsckEorF4TnK1raMHm9uaEAAyOjUrG8OpDpfeyXdC7GZedRkevHYpjgzEMDQ2mSonft/P3sR9q5ZYYrdmLWqTQy53KQ8W5rwGaPcdUujpKNnxmxB7kXumbooVYjkzkKkHqfu4f9USvDswiorRuOJikk8sqsOD1y7F+OS07WVkCSGEEDtJj4OhYCHaWxrwN5efi8KCAGLxBAZGJnBWVSlWLKhxXd4n5AWvHxnE5rYmAMgZP7O7jdxdlt+I5ZXNkVr8deu5uOvTi3FiNJ7Rj/3J73px/6olptuIWM4sjA0BuWNDZuuEOiD5SvqY7dBYHBOT03jl8EDqKEmjejN7YldqHKAlRlx3WwABAABJREFUUosbLluIa77fmWq3G8eK1YwP0PecxrbJ7u9+97sYGRkBANx7770YGRnBT37yE0QiEXzve9+zqxmexwwDDwD47PJ5+NuPNWJqOolQsBBFBQFUlxWjLFgouavFSKmp/pF4TpvbWxqwvbMnZ2UqxUqI+5HyRR3dA0hiRt/pJZFfPtiP/pF4StNKHYOqUBCj8QTu/dmbkglO+gKcyrJifOdzF2JkfCo1aF9RWpQzeSG0hT6GuJVoLI47ntonWgJuYso6u7Xy/ESl3GXj1YtF71d4T7rv0IqRjpLwm/SdnEgtvCkvKUJIoTwesQ+tg0xidu62WCGWM6e3qX8kjnPrKjLuoyxYiD29Q/jU5t2phWZKi0leONCHialpbGlrclX5dkIIIcRMsvNQ4QiTrbu60RypRVN9Dbbu6sYnFtXh29ctz+hPumERWHpesH5HF9pbGtDe3ICJqWmUFBUgckYF5to4MM/dZfmNVL9OGNe9pGE26mbNLBwZnZjC6gvPQrilwZKJ7uPR8Zx2xOKJlE7u+vRijE8mLNEydUDynfQ5omgsjjmVpfj4+XWG9WbVxG4AwFVL5+KGyxaiuKgAhYEA/ittgt6M77AKNeMDbmqvWqxaMGTbZPc555yT+v9QKIRHH33Urq/2FUYNPBqL4+9FnAYwU7rhU0vnYsNT+1KrXS87pxbBogLUlAcNGd3w+GTO35rmV0ueD/rywX70nZzwpFgJ8RNSwUfOF3V2D6C9ObdE1cBoHPhgRFWpc7UJTraPmFN5+v8P9Y3kTF6kX8erCQHxN04msladn6h0T0NjuTlCOidFcohsxHwVAF0dpfRrlQeL8HrvIDY9/1bOJCIHMpxF7yBTtp2bHSuMdtrEcuZ0BD0I9xGNxbFuR5cji0kIIYQQt6O23/rCgT7ccdWU6xaApecFwkR9Os/cchkWoFzzdfXkK9FYHC/94QOsvWwh2i6pR2lxIfb0DmJbR48rJwiI+ajR001PvIYXb7scF9bXiL7PKEIfoO2SetHXBZ18/Pw6yTbozdejsTj6Tk6g90QMNzY3YPn8amzr6EEsnnDtRBkhVmPmOJIV42HZc2GP3bAC/98Tr5n6HVraIuZ75HyS2vEBL2HlgiHbJrsBYGhoCD/96U9x6NAh/K//9b8we/Zs7NmzB3PmzMFZZ51lZ1M8i1EDl3Mauw/2Y+1lCxEKFmJzWxO2d/ZkJNJGjK6ytDjnbxNT07Kf6T0RQ3lJEQeTCXEIueCj5IvE9H1yfBKf++F/qSp1bkaC48eEgPgfP9qt0j2VK+yUniWSQ6Qj5avuX7UErx8ZFP2MlB+RKsu3ua0pteqXAxnOY+aKbzM1Z0anTSxnTidbD3Lx8rUjg4iasJiEECLOgQMHPHFNQvIZLf1WN8bEihL5YdtyhdfF0JuvDMYm8fzeYxnVGdPzZC6g8z9q9WSVltL7AGsvWyj7Xqk+pF77V9tPpA4I0Y8V42HZ/WWl+Sir/JeU7/nmNUtw//NvSW4I0zo+4HasLstu22T33r178fGPfxxVVVV499138eUvfxmzZ8/G008/jSNHjuBf//Vf7WqKpzFq4GoSEyvKi4crgljZGM44G6GkqEDxc1q/j2emEC/iRrtVU3ZYjmx9N0dq0XV0CIC6UudmJDh+SwhIfuBHu1W6p/JgUU6OILCyMYxwhXzFmnRfJVSmaZpfjUMfjOD/d9Ol+PU7fakV9+lk+xGlsnzpPosDGc5i5opvszRnVqdNLGcWENODVLwMBQuxpa0JZcWFePSLF2XsvkrXghd9CiFOMxYdABDA9ddfb9l3TE7ELbs2IfmEUpxP77e6MSYGCwvQHKnNGZ8DZvrYwULlcbV09OYr0VgcG5/Zh67eIay7MoKm+dWYmJpGaXEh3o+O4a8vP8eViwWIuajVk1VaSu8DdB0dktSGVB/SiP3fvnMvXj8yKGn/33vhIAB3LpohxCtYMR6W3V9Wmo/K/g4zxuzlfM83nt6HC+trMia7032S1vEBt2N1NUvbJrtvu+02rF27Fv/wD/+AWbNmpf5+1VVX4Qtf+IJdzfA8Rg1cTWKiVF5cj9FVhYJ4aM0y3LFzb6rtXUeH0BKpRYdE0t51dEjx+1hqlHgdsZVdn1hUh3s/ewHGJ6cdmwBXCj7BwgJJX9SSNrENzOj5xuYGrN/RlfqbVKlzoWNgRoLjt4SA5AdO2a2Vi26U7qk6VIwHVi/Fhqf35axyfXjNMtl2pPsqqco02SvuBbTskBXzWRzIcA4zV3ybpTmluKn2eJ6qUBAPr1mG3/zhA9TNKkkNpP1peBxXfOiMnGuIxUtBC4939mC3xO6rWDyBVsZCQnQxGTsJIIkLv3A7zmg439RrH9/3X9j/3I8wNTVl6nUJyVfS43z6osiJqWlUh4oxFk8gFCzEigU1lsdEPfn20FgcN57KQbN3VN/Y3IDoWBzQUMZc7yBz/0gcr/cOSeba91x9AYoKA6rbQbxHNBbHdDKJx25YgUAgkLOIUhjHlZtoNtrfTO8DbOvowea2JgCZ2pDrQxqy/yODsvb/w5cOIxZPuHLRDCFewYrxMKG/LOQAVWXFkn4s+zveOxHDhqf2ZvSp9cw1yfmeju6BVJxPR/BJ59ZV5MypCe1QGi9zI1ZXs7RtsvvVV1/FD3/4w5y/n3XWWXj//fftaobnEZs0BtQbeLgiiNbGsKjAhMRk8dxKkU+eRq/Rzasuw5a2JvSPxHHyVHLzlyvm5wxuZ0+MSX0fS40SryO2sisULMTnL6nH3+/cm5Ow27lwQyn4RMfikr7ogdVLEU9MY2XjGTg5Pomuo0M5k0yAeOkYoWNgRoJj1F8S4gRO2K2V5+UAyvcUiydw78/exPL51Vh72cKZwceyYiyoDWGuwven+yqpyjRiO7O17JAVyPZZHMhwDjNXfJulOSX70XI8TxLAL/Yex+7uzPZc/qEzct4rFi/VaKGrdxD3ffYCxkJCDFBRV4/Z9eeZes3h4++aej1C8h0hzt/z7H58/pJ60YmqbWsvxsLZIUtjot58u6KkGG3//Fu0tzSgvbkBE1PTKCkqSPWxf7auRVM79A4yD49PyuYXm55/C498brmmthDvoDT+2lRfjRubG/CT3/WK5s9m9TfT+wCxeALrd3RlaOOccDnmVpVKatk6+38T7S0N2Ht0iAtJCTGAFeNh4YogPrGoTjIHEPzYigU1Gd/xx8EYbn9qrymVj/UcBQqc9knZc2qzSosRrnC+KqwerK5madtkd2lpKYaHh3P+/s477+CMM3IHbog0Rg38q1dEMJ1MZoi1NVKLW65oxE1PvIotp1bGSWGknENVKPe1b65agu4PRnKSdmFiTMzIWWqU+AGxlV1WHCOgB8WywyXFKA8WYtOqJRiNTyEWT6CqrBh1s0pS7UsmR/C5H/6X5DWyS8e0RGpRUToTlsxKcPyUEJD8wU67tfq8HAGpewKAdTu6sPtgf0bZJmBG70rfn+6r5CrTpO/MlvIjWspcsjqEs5i94tsMzSnZD6DueJ6UJrvVaVIsXipp4Y6rjO9EdeMRLIQQQogY86rL8M3VS/H1f3tDdKKqMBBQHAczgpF8u6K0CP/y/63A0NgkAoEA3jo+nNqFpifn0TvIXFlaLJtf7O7ux8j4FObI750hHkRu/LUgEMDPb23B1HQShQUBPHLd8hxbNlI6PDvXzO4DxOKJjMXMWvqOYui3/wF85aMRfPGSeubDhBjE7PGwqlAQ9372gpxNZcBpP/bv61tRHSpOfUc0FseRgZjoMQmA+UenSZVWT/dJYnNqZmNHH9/qapa2TXavWrUK999/P/7t3/4NABAIBNDb24s77rgDa9assasZvkGvgfePxNH++Ks5q0L3/TGK8ckEPrygRtO5J2aszqsOFeOJV97VZOQsNUr8gNjKLiuOEdCDUvApLS5ITVCl//2hNctQFVK+hlip87XNDRidOF2y0awEx46EgBCzsctulUq5vT88blo7xO7pUN+IofN60v2M1GpYgVmlxXjxtssl/Yicz2pO81msDuE8Vqz4Nqo5Nfajxqb1lFfMjpeT00nZth49MYa9R4fw5ZbccmlqsLoaBCGEEGI2I+NTGWVI07G6n623dLLcbtqf/K4X969aornNegeZwxVBvDswKnttjrv5Ezn73X2wH9NJoHHOLNHXlT4vZf9yuebDa5bhdgPVTq2y/9LiQsWqZIQQdZg9HjY+OS05cb37YD+mppMZ39c/EsfQmD1Hp2WPjwvYvcHCrj6+1dUsbZvsfuSRR/CpT30KdXV1GBsbw+WXX473338fH/nIR/Ctb33LrmbkPcPjkxkr39IJBQvx7FebUVgQwOqms3Dvc2/Knp1p1m4wPUbOUqPED4it7FKarLGrAymnywdWL8U9Wf4ByNW+1DWaI7X4X39xPgZH43j0ixdlVHR48uZLc9rBCSVCrEMpnr43OIYzK6VLwVn9/Uo+L93PSK2GFagtD+LcugpV18r2e/evWoLhsThWX3gWq0O4BLdV7hDsR2xQWs3xPAJ6NZEeLw/1jcheo7qsWHdH0q5qEIQQQoiZWH1GpNnfrbSb9pHrlmNOZanmtugdZK4KBXF2jfxgN8fd/IlR7Wj9vJpcU28fwEr7ryqj/RPiVrT6oeHxScXxJbOOTvvmNUuw6fm3Mt5v9wYLu/v4Vo7l2DbZXVlZiY6ODvz617/G66+/junpaVx00UX4+Mc/blcTCOTLJsTiCRQEAjjnjJmB4K0KRqd3daoYWo2cpUaJHxBb2WVmMDWKlC4HRuM55YYFsrWffY3S4kI8v+842v75v3PO8AbYQSbEbtSUXrZyp4sZ5/UIfmYoNonWxrBobqI2F5DPR8oVP0/sxW0LouZVl+k6nicdMzQht3K8tTGMc+sqdA2QA+bm/4QQQohdWH1GpNnfrbSb1kjJcL2DzGdWllpaepS4E6Pa0fp5NbnmuXUVuvNN2j8h+YdWP1RZWowX3+6TrHzcavLRaY9ct9zRRfxO9PGtGsuxbbIbAF588UW8+OKL6Ovrw/T0NN5++208+eSTAIBt27bZ2ZS8RUvJFiWjM3tlrBYjZ6lR4gfEVnZ1HR1CS6QWHSqOEbCrjdn6OdyvrXxZ+jWisTj2Hh0SnehmB4EQ+wlXBCUniIV4WltunS7NOq9H8DMPm1AOyW0TqMRb6DmeJx0zNKG0a0XvRDfg7M44QgghRC9WnxFp9ndbHW/15LtWlx4l7sSodrR+3o5ck/ZPSH6h1Q+FK4J45/gwbjx1TG76hHdLpBYPrl5q6tFpTo9B+amPb9tk93333Yf7778fK1aswNy5cxEIBOz66rwn+3D5B69dinufexMvpO3MVBOcs68zOxREKFgoOmkFWLMyVmjDyMQk7l+1BHc/u5+lRomnmVddhm9ftxyDo3EMj0+hKlSEz62Yj7ue3ud4Ap2t+XD5jJ70ruwVrrf+Y434ykfPReehAWzr6EEsnmAHgZAspPRnNlWhIDatWoI7n9mXkcCnl15efeFZlrXX7EEDM8oh2fXbE2145bkYtWmzNGFVaTAzd8Z55ZnK4Yd7IISQfMDJiSq57/6HNcsAzBxBkh5LlOJtZVmx7TEoGotjfDKBu65ejOlkErGJBKrKnD1GhliPVbntJxbV4d7PXoD+kTgO94+qtv30XNNsDShdz23HKBGSr2RrtaKkCKMTU4iOiWtXyg+1nppHyqYqFMR9q5bgnmf3o6m+Bu3NDZiYmkZ1WTEW1IZwVk3Ilvu0Cyer35iNbZPd//RP/4THH38cX/rSl+z6SnzrW9/Cz3/+c7zxxhsIBoMYGhqy7bvdgtTh8g+sXooNn1qE4TF1wVnqOtvWXoz2x1/NmfC2YmVsdhtCwUJsvHox7vz0IozFEyw1SjyJmLY+sagOD167FOOT044l0FKaf2jNMl0re8Wu19oYxs9ubUEAM2fpsoNAyAxy+ptXLX9WmB5qQsW4etm8VAKfXnp5xYIaxXhutL1mDxoYWRVr929P1OG152LUps3ShBUrxM3aGee1ZyqGH+6BEELyCScnqqS+ezSewLodXTmx5MFrl0rG208sqkOwsED0c1bFILmYx368/zE7t60sK0awsAB3PLVPk+2n55pm52Fqr+f0DkxC8h0xrbZEarH21GYNYUNVtnYFP/T+8DjeGxwDMFNd9VObd2PFghrR9ztdXtwunKx+Yzbyh8OaSDwex2WXXWbX16W+87rrrsNXvvIVW7/XLcgdLv+Np/ehtjyIC+trFM86kbvO93/djY1XL874uxUrY8XaEIsnsOGpffjWzw+gIVxu6MwWQpxASlsvHOjDhqf2IVyhTqN2tevlg/24Y+deAMBDa5ZhZWM443Up7Utdb/fBftz33Juc6CYkDSX9RWNx07+zKhTE5R86A0+88i5u+fEe3PTEa9i6qxsrFtSoqvpiRnurQkGcW1fhiM8TcOK3J8p49bkYtWk3aEIMYVW82hxADK8+03T8cA+EEJKPOBlfs78bgGQsufe5N/HA6qWi8fbez16ADU/vsy0GMeYRwNzctrY8KGnDcrYv5Jpm2yRtnBBvIKXVju4BbO/sQXvLTNlxOe1+8+cHcNMTr6XGvWLxhOT73donNxsz+vhuwbad3TfffDOefPJJbNy40a6vxH333QcAePzxx237Tjeh93D57FIQ09NJ0euEgoVYPr8aTfOr8f/+5s9QESxEKFiE6lCx6SLQey+EuBm32bWg/ROxOG5sbsDy+dWpMuPp7ToeHcfEVAKbrlmC+NQ0RiemZFe4ue0+CXEzZuhFTzk3vav1jbTXbeV/6avcCZ+LPWjRo9HdPX7wG7RL8zlw4IAnrkkIyU+siD9yseSFA33Y8KlFovHW7hhk9/e5JdaTXMx6NnptX/gus23S6PVos4QoY4ZO5LTa2T2A9lNnbAPi2vVjH84s/+OXYxosney+7bbbUv8/PT2NH/3oR/jVr36FZcuWobg4s9b7d7/7XSubopqJiQlMTEyk/j08POxga4yh53B5sVIQj92wIud9oWAhNrc1YXtnD7bu6k79/XQZIwMNF0HPvZD8wovadZNdi2m/OVKLzW1NqTIwAof7R3HLj/cAUFcmyk33SdyHF7VrJUb1YqScm56SbHrb68byv/RV6rFTt3wu1qNHj0ZKOPrBb3jVLt0Yc8eiAwACuP766y37jskJ7sgi3saN2s0nrIo/SrFkeGwS55yRu5PscP+o7OfMjkF2xjw3xXoz8JN2zXw2em1f7ee12qSR6/nNZom/dOsWzNKJklYnpqYz/p2tXa/24aQw2//44ZgGSye7u7q6Mv594YUXAgD279+f8fdAIGBlMzTx4IMPpnaEex2th8tLlYIQo72lAds7e9DZPZDxd6Hsw5a2JlPFofVeSP7hRe26xa6ltC/ou72lIWNRS0nR6RMw1GjeLfdJ3IkXtWslRvSiVH7N7NgM6GuvE+1UA32VeuzULZ+LtdBv6MOrdunGmDsZOwkgiQu/cDvOaDjf1Gsf3/df2P/cjzA1NWXqdQmxGzdqN1+wMv7ojSV2xyC7vs9tsd4M/KJds5+NUZsy2yb1Xs+PNkv8o1u3YKZOlLSaPl4N5GrXq304Meh/xLH0zO5f//rXqv7btWuX6mvee++9CAQCsv+99tprutu8YcMGRKPR1H9Hjx7VfS2nEQ6XF0PscHmpUg5dR4fQHKnN+FvT/OqciW4BoeyDGqKxOA71jaCrdxCHPhiRPAdF672Q/MOL2pWz69bGMBLJpKwuzEKpDEzT/OrUv5sjteg6OpTxHiXNU79EDi9q10qM6EVNSSZAfey1qr1q22k39FXqsVO3fC7WMhSbxNrLFuLRL16EbWsvxrorIwgFCwFYp0c/+A2v2qWbY25FXT1m159n6n/l4blO3xYhpuBm7fodK/NrvbHE7hhk1/e5LdabgV+0K/VsQsFCLJtfjePRcVts36zPm3U9P9os8Y9u3YKZOpHTavZ4tZh2vdqHyyYai+N4dBxtl9Tn9OGB/PY/lk52W8G6detw4MAB2f+WLFmi+/olJSWorKzM+M+raD1cXqqUw7aOHtzY3IDWtOtkl4XIRk3Zh2NDY1i3owsf++5LWP3oK/jYd17CrTu6cGxozPC9kPzDi9qVsuuWSC1uuGwhrvl+p6wuzEJtGZjmSC1ubG7Ato6enPfIaZ76JXJ4UbtWYkQvSloenZjUFHutaq9bS0fRV6nHTt3yuVjHsaEx3PXMPtz0xGu45cd70P74q+jqHcTmtqZUZ9kKPfrBb3jVLhlzCfEm1K5zWJlf640ldscgu77PbbHeDPyiXbFnIxxv2dU7iE/+79222L5Znzfren60WeIf3boFM3UiN46ePl4tpV2v9uHSEXKOT/7v3ZJ9eCB//Y+lZcytIBwOIxwWX4FBctFyuLxUKYdYPIH1O7rw7+tbMTWdxMnxSZQWF4q+V0Cp7IOeUgta7oUQr5Bu19GxSYxPJvDK4YGMc7KtLkGiVMZlYW0I//G3rXh+3/Gc87sFlDRP/RKiHr16UdJyVVnQkjJHWtvr5tJR9FXuhM/FfFK5eFalpuwjTKzSox/8Bu2SEEL8j9X5td5YYncMsuP73BjryQxiz8bo8ZZGbcpsm9RzPdosIcqYrRMxrVaUFmF0YgpP3nypona93IfTcgxpvvofz012a6G3txcnTpxAb28vEokE3njjDQBAJBJBRUWFs42zEbWHywulHF4WKS2xYkENqkPFqetEY3HJ96op+6CmhIVYm9XeCyFeQrDrQ30juPYHr4i+R04XRpHT/srGMM6qLgMA7D06JDrRrbbUC/VLiHr06EVJy/HEtK7Ya3Z7ldrpdOko+ip3wudiLkpHmLQ3N1iuRz/4DdolIYT4Gzvya72xxO4YZPX3uTXWE/Fn0zS/OjWpko3Vtm/W541ejzZLiDJW6MRtvsMu1PThgfz2P54rY66Fu+++G01NTbjnnnswMjKCpqYmNDU1GTrT2yvoOS9ISykHo2UfWOqFkFyc0oUaPUu9p7UxjHs+ewEGRuOWny1OCJFHScsjE1Oyn7fKx2TnJAA8XzqK5C9mnnnvJEo5BwBX6dEPJecIIYS4H615q1P5tR9hrHcfgh7eHRjF/auWZDwbM4639Dq0WUKUcUonfum3p6PmGNJ89z++3tn9+OOP4/HHH3e6GbZzbGgsp6TBysYwHlqzDPNO7dCUQkspByNlH1jqhZBcnNSFGj2nv2doLI6JyWm8cngAn9nSgVg8odrPEEKsQ07LYpUZ0rHCx0jlJA+vWebZ0lEkfzGSY7sNpZyjfnYIc112T14uOUcIIcT96Mlbnciv/QxjvXvI1kMoWIiNVy/GnZ9ehLF4wvDxln6BNkuIMnbrxE/99nSU+vDnhMstOwLVK/h6sjsf0XMWdjZaSjnoLfvAUi+E5OK0LtToWXj93p+9afq5v4QQc5DSst0+Ri4nuf2Urzi3Ln+OlSHexowc200o+YO6WSUOtEoZr5acI4QQ4m705q1O9+H9CGO984jpIRZPYMNT+7CyMYwtbU0AQNs/BW2WEGXs0onf+u3pKOUcc6tKPXtvZuHrMub5iJqzsN0AS70QkotXdOEVP0MIycRuH0NfQfyE3+zZKzkHIYQQYgd64zzjKfEjavRA2yeEuBG/9dvTod9Vhju7fYaXzsJmqRdCcvGCLrzkZwghmdjpY+griJ/woz17IecghBBC7MBInGc8JX5DrR5o+4QQt+HHfns69LvycLLbZqKxOPpH4hgen0RlWTHC5eYao9fOwmapF0Jycbsusv1MKFiI9pYGNM2vxsTUNEqDhYjG4q6+B0LyGbt8jNdyEquxOgf0Om7/ffxqz27POQghhBA7MBrnrYynbs+RiP/QogczbJ82TggxCy/329X6QvbhpeFkt40cGxrLOTNgZWMYD61ZhnnVZaZ8B88LIoRYTbqfCQULsbmtCds7e7B1V3fqPWb7NkKI92BOcho7ckAv44Xfh/ZMCCGE+Be3xnkv5EjEf9ipB9o4IcRM3BrPlaAvNAee2W0T0Vg8x2CBmbMC7ti5F9GYOecFZNfuDwULse7KCJ68+VL87cca0T8aN+27CCH+IBqL41DfCLp6B3HogxFFH5HuZ9pbGrC9swed3QMZ7zHbtxFCvIea84S0+h8vYlcO6FW88vvkw/lY+aBHQgghRAw3xnmnciTmA8QuPdhl47RpQvIHMf8VChbiwWuX4s5PL8Lh/lHX+QGvjIl4Ae7ston+kXiOwQq8fLAf/SPmlfwVavcPjMaRBHDvs/u545IQIorelWOCnzkeHc/wL+mY7dsIId5D7jyhfFm5amcO6EW89Pv4+XysfNEjIYQQIoXb4rwTORLzASJghx7ssHHaNCH5R7r/Gp2YRGVZEBuf2Y8NT+1LvcdNfsBLYyJuhzu7bWJ4fFL29ZMKr2ulKhREbXkQ9z73JnZL7Lj80/A4V7YR4gGsWoVqdOVYVSiIscmE7HvM9m2EEO9RFQri3LoKXFhfg3PrKlI7uvNl5ardOaDX8NrvI2bPXsdteuTuG0IIIU7hpjhvd47kpnyAuYA7sFoPVtu41TZNOyXEvQj+a0FtOTY+ux+7u93rB7w2JuJmuLPbJipLi2Vfn6XwutoD6tNRWhVyqG8EX/iX36b+5qYVLYSQGfSuQlXjM5R8RN/JCUU/Y9S3EULUoScPcPK6Sij5n/eHx30xiQjQTyrB38dexDRvx0pytb6Gu28IIYR4CS25tNa82+4cyS07y5gLuAsluzXSn7Taxq20adopIc6hxu8I75mYSrjeD3BMxDw42W0T4YogVjaG8bKIuFY2hhGukBaVXuEorQoZGst8XVjRsqWtyTcDzIR4GaVVqFJaVeszlHxE74kYykuKZP2MEd9GCFGHVR1pJzvoSv7nvcExnFlZ6ot8hH5SHv4+9iGl+fUfa5T9nNGV5Gp9jd68hxBCCHECLbm0nrzb7hzJDTvLmAu4CyW7NdqftNrGrbJp2ikhzqHG76S/59EvXiR7PTf4AY6JmAfLmNtEVSiIh9Ysw8rGcMbfVzaG8fCaZbIrP/WWXKkokV/LcHZNGbatvRjrrowgFCxMXbd/hGVXCHED/SNxvH5kEOuujOCxG1bg0S9elNLsa0cGRbWqxWcorRwDoOhn9Po2Qog6rCq95nSZQjX+R2s+4tYycvST8vD3sQc5zcenpmU/K7WSXI3mtPgaNbtvCCHEbA4cOIA9e/aY/l9vb6/Tt0YsREt805t3250juWFn2VBsEmsvW5gx9sHxSmdQsts/DY8b7k9abeNm2XR2zjsUm8TrRwZF30s7JcQ61MTT7PeUFMlPf5YWF+oaQzKz78oxEfPgzm4bmVddhi1tTegfiePk+CRmlRYjXCFdZmF4fBJlwULdpRaChQVojtSiM+vMbgBojtTiP9/6E7bu6kZzpBab25qwfkcXYvEEzwEgxCWMTExic1sTtnf2YOuu7tTfBc2OTuRqVUuZJrmVY82RWnQdHVJV0kWtbyOEaEdv6TWlsk5OlykMVwTR2hgWbYPgf2rL1X+/28vI0U/Ko+f3caoEv1eR0/wrhwck9Si1klyt5rT4GjfsKCOE5A9j0QEAAVx//fWWXL+sLIS33z6A+vp6S65vBYyt6tES34zk3XbmkE7vLDs2NIa7ntmH3WljmByvlMZqvSrZ7eCoOf1JK23cDJsWy3lbG8MZdpkN7ZQQbaj1Z2onmNPf03V0SHJ+rCVSi+f3HU+NuWsZQzK778oxI3PgZLfNVIXkjTQ7iBoptTA0FseNzQ0AkCHo5kgtbmxuwPodXRmvtbc0YOuubp4DQIhLqC4L4h9++U5OQBb+/cA1S3M+oyXYCivHshP3bB+hJkAr+TZCiD70JNBqJqGcnlSqCgWxadUS3PnMPskcZfWFZ6m6llfKyNFPyqPl93H74gY3Iqf5bR09+NmtLbjvuTczBgOlVpJr0ZwWX+OGHWWEkPxhMnYSQBIXfuF2nNFwvqnXHj7+Ln677T709/d7ZrKbsVUbWuKb0bzbrhxSGB+4Y+deVfmAmaRyC4mxD45XZmKHXpXsdnh8SvZ1Lf1Jq2zcqE1L5by7D/ZjOplM2WU2tFNC1KPFn6mJp8msv23r6MHmtiYAmfNjLZFarE0b+wa0jSFZ0XflmJFxONntIsSCqFKpBTnhVJQUo+2ff4v2lga0NzegvKQIoxNT6Do6lLP6rLN7AO3NDTwHgBAXEU9Mi648A2Y0G0/klh3VGmznVZdh06oLcOiDUUxMTaOkqCDHR5QrHIlACLEOrZpWOwnlhkmlmlAxrl42D+3NDTn+Z8WCGtX5iNO71Im9eGVxg9uQ03wsnkAAUL2SXIvmtPgap3eUEULyk4q6esyuP8/pZjgKY6t2tMQ3N+TdanFqZ5lcbsHxykzs0quS3VaWyo8TucWujdi0GrvMhnZKiHq0+jM98TQWT2D9jq7U/FhVWTEqSorw/L7jotUZ1I4hse/qTjiD4SLEguj+Y1E8sHoJ5lSWYmJqGqXFhdjTO4htHT2KA8HhiiBWLKhJrTJ79IsX4ZYf75FtA88BIMQ9jEzIr5QdFXk9XBHEJxbV4by5lWiaX53hN945PizqMwIIYFtnj+SRB8FC+UU3hBDr0JpAq52EckNiXhUK4vIPnWF494jTu9RZ8tNe1No4n0smSpqvPfX7qPmNtGhOi69xckcZIYTkM1w4qB0t8c2KvNvKPMeJnWVKuQXA8UoBu/SqZLc15d6xa702rcYu02HOSog2tPoztfE0+z2xeAJbd3VjZWMYW9qacLh/NDVfFgoWor2lIWMMfTqZvT88F/Zd3Qknu11EdhANBQux9KwqbO/oyTmzZtvai7FwdkhWONmiU9olXj87hLksT0WIa9CzYq0qFMTGqxdjw9P7MsoptURq8cDqpaI+Q+nIg+hYHEC5zrsghBhBawKtdhLKLYm5GbtHnNwtw5Kf9qNk46MTk3wuIpipeS2a0/q9PKuMEELsx+mFg15ES3wzO+/2Y56jlFtwvPI0dulVyW7nVJb63q7V2OWLt13OnJUQnWj1Z2rjqdJ7KktnzvYOBQuxua0J2zt7MsbQW0+9V8n3sO/qPjjZbTNyq9Syg2h7SwMe68jdbdnZPYDCQABbTp03IEe66KaTSbQ2hkVXzKxsDKNuVomBOyOEmI2eFeDRWBx3PrM/x290dA/grmf2i5a0yj7yILuc8M/WtZh7Y4QQTWhJoLVMQrklMTe6e8SpXepeKfnptx3OSjZeVRb0xHMxGzXP2SzNa9Wc1u/lWWWEEGIvXiqz7Sa0xDezYrBX8k+tVJQWcbxSJXbqVclu/WzX0VgcRQUBRbv0ot4IcQt6/Jkav6P0HqE/u2x+NbaLVDrdrcH3pL8+PD4JBHL/TuyDk902orRKLXvgqGl+dcaqknS0lKZJHzB62AW7uAgh6tCzAlypBMz7w+M5n8s+8iAdnjNCiDtQO/mjdRLKD5NKTu1S90LJTzfukDCKko3HE9Oufy5mo+U5m6F5PZrzg68hhBC/4objbbyKlvhmRiz0Qv6plWNDY7j72f244bKFmE4mMyYdOF6Zi916VbJbP9q1kFu/fmQQm9uaaJeEWIRef6bG78i9R+jPvptWzjwbtb7Hj2MuXoaT3TahdpVa+sDRxNS07DX1lKZxyy4uQog6tGpWqQTMe4NjOLOy1NKyaoQQ58hXPTuR37i95Kcbd0iYgZKNvz88Lvt5p5+L2Tj1nNmnIIQQ/5Cv+aMXcXv+qZX0POaVQwMZ1eaqy4pxbl0F5lSWOt1MV+FHvbrJrrNz6/U7ulJ2CcyULueObkLMwUl/Nq+6DO9Hx2Tfo+R7/Drm4mU42W0Twio1sUPv9/QOYmB0ZqVI+sDRxFRC9pp6S9NwZwUh3kJLSRSlEjAARFemcdCaEP+Qr3pOz2+Eks6H+0ctK93t9pKfbtshYSZyNh6LW5M/G8WqcvJOPmf2KQghxD/ka/7oNbTmn24/ziY9j4nFEzk77F687XLMqXSiZe7Gb3pVY9d22XJ2bp1tly/edrlnf2dC3Ei2P6ssK0Z5SRFGxqfQ1Ttoqd6ryuSvqTR24OcxF6/CyW6bGJmYxNc+0YirLpiLTc+/mREomyO1WN10VurfwsBRNBbXVcrB7cksIeQ0avQqVxKlPFiY8Xm5s66aI7XoOjqE2nKekUmI39GrZztzCKu+y64yUm4v+emmHRJy6LUDKRt343Ox0ibd8JzZ9yCEEH9gVn+QccE6tOQ5duXERp63G/IYr+Knc2KV7Lq0uADrdnSZastSdkubJEQ/ZvTtjw2N4ev/7/em6F2pPUbHDugv3Acnu22iqiyIMypKcN/zb+Ycet/ZPYB7n3sTW7NKG+gp5aCUzLLTQYh1aNWXms6nXEmU23fuxaeWzsWGp/al/v6JRXXYtGoJ7nxmX4avaY7U4sbmBqzf0YXVF54FQgjJxs6zhsz6rmy/W1FSZFsZKbeXEHTjzvPs51VaVIB7nnsTvzrQl3qPUZtz23OxurSZ08+ZZ5QRQghJx29xwW1jaGrzHLtKqxp93k7nMV7GDK25xb7l7PqB1Utxz3NvmmrLcr9dVRltkhA9mOWTzIpdatpjdOxAKYZVltlXlYLMwMluG4jG4tj4zH6sbV6YM9EtsFuitIFSaZp0wcwuD+Kup/djd3euQ7jn2f245zMXYMPT+3zT6SDETWgN6n8aHsftP/09dmf5hOwALlcSZffBfqy9bGHG3144NWFw65WNqbOuSooK0HV0COt3dGHFghrHdxsSQtyDkEdEx+KYmJrG8vnVeP3IYKoUtBWTxGZ1YMT87pM3X2prGSk3lxB02w5nsefVEqnF2uYGvHJowFSbc9Nzsbq0mZPPmWeUWQsHRgghXsNvccGtE/dq8hyz8w+xmATA8PN2W77qFczQmtvsW8quB0bjGQtj0xGzZaX8Sem3+/Z1y2mThGjErPhvNHYJ+k8kk9j0szcVx9wBY2MHcjHsE4vqECw0vyoFkYeT3TbQPxLH7u5+tF1aL/s+qdIGUqWkshOTx25YkTPRLXDe3EpseGqvKpETQrShNagfGxrDu/2jOXpM/5wQwJVKokxMTef87YUDffj6X5yHR3/d7YpdbYQQdyI2wNEcqcXmtias39GVMflo5iSxGYNvUn53aMz+MlJuPQLCTTucpZ5XR/cAkgDaWxoyjvgxw+bc8lysLm3m5HPmGWXW4bYBaEIIUYOf4oLbJ+6V8hwz8w+pmHTnpxcZft5uyle9hBkTQm60bzG7Ptw/KvuZdFtWkz8p/XYj41O0SUI0Ylb8NxK70vU/M0emPOYuoHfsQC6G3fvZC3DHU/tc52f9Die7bUAQaklRgez7tJRCEUtMxCa9BJrmV2cMIqbjtU4HIW5DS1AXtNt2ibrFL0olUaT8ylg84ZpdbYQQ9yE1wCFUoMmefDRzktiMwTcpv2tmruUH3LLDWS5OdnYPoL25Iefvfjnfyo7ynE49Z55RZg1uHYAmhBAl/BQXvD5xb1b+IReTbhgck/2s2uftlnzVSxjVmpfsW60tq82f1Px259ZV0CYJ0YBZ8V9v7MrWv9wcmZb2qEEqhnnJz/oJTnbbgCDUrqNDaI7UipYy11oKRUwwcgO8doqckHxDS1AXtJtdfjwbIYDLlURpjtSi6+iQ5OfdsquNEOI+tE4+mjlJbMbgm5TfNTPX8gtuiAV6qpT4ZWGCXeU5nXjOPGfTGjgwQgjxKn6KC16fuDcr/5CLSUpoed5uyFe9hFGtecm+1dqy2vxJ7W9HmyREPWbFf72xK1v/dm+CMFqVgpiH/JMnpiAIdVtHD25sbkBzpDbjdT2lUMQSE2GAV4zqMv90OghxG1qCuqBdOb2mB3ChJMrKxnDOe269shHbOnpkP08IIWJomXw026cIeZEYar9Lyu8KuVariM9k2Tnn0FqlxE9xTC6Oe90mzdAyycVLA9CEEJKOn+KC1yfuzco/5GJS19GhnJw7/Xu89Ly9hlGtecm+1dqy2vzJT36KELdglq70xq5s/asdc7cSL/lZP8Gd3TaQXr9//Y4utLc0pHZMnV1ThjMrSzUPdIkJZltHDza3NQFAxo6mlY1hLKgN2bKrhJB8RMvKM0G7UnptFQngUiVRYvEEViyo4TlChBDNqJ18tMKnmHE2n5TfjcUT+MnvevHIdcsxMj7FsnMuQS5OtmRVKfFjHPNreU6es2kNHBghhHgVP8UFuyqzWIkZ+YdcTNrW0YNfrG/F3c/u9/zz9hpGteY1+1Zjy1p2bPvFTxHiFszUlZ7Yla1/uTkyu3TuNT/rFzjZbQHRWBz9I3EMj0+isqwY4fKgJqGKfT77fWKCicUTWL+jCxuvXox7P3MBRiemMr6HwZwQa5DT1/2rluDdgVFUjMYRLg9maFdY/PLllnNQFSpGsLAA41MJxCYTiMYyS1SKlUSpCsGXg+eEEOuRS7xbG8Oonx3Ci7ddrtmnqMlhAOODb0p+d05lKeZUqm62o6j9zbyM3PN6YPVSxBPT+Pj5dZrtwM7fzuh3+bUUol8n8p2EAyOEEC9jZVywM+77ZQxNLv/QO/YosGJBDWpCxcwDHCJda6MTk6gqCyKemMb7w+OITSZk9eFF+05v0/D4JBDI/LuW/In5K8lnrIqlZupKa985W//CHFl7SwO++tEISosLUVVmr8696Gf9ACe7TUBwEiOnkouNz+zH7u5MI35ozTLMqy5TNORjQ2O4fefejHMG0j8vICWYFQtq8NEPnYG5ae8VYDAnxDqy9VUWLMSe3iF8avNuxOIJAKcDWrp2t3X04MK2ajzyn+/k7PB+cPVSnD07JPu9fh08J4RYi1LiLZZHKKE2h0lvgxH/Na+6DN++bjkGR+MYHp9CZVkRakJBzKks1X1Nu9H6m3kZs/NQO387qe8SJuqjY/5dqKAG5iLmwoERQojXsSIuOJEzOTGGZteEvtGxx+yYxNjkDILW9OjDTPu2w26V7lFr/sT8leQjVsdSp3RVFQrim9cswTee3oeOU2PrsXgCb/QO4nMfPhv1teWmfI9WX8e5OPvhZLdB0p3EuisjeOtYFMvrq7G2eSEmpqZRWlyIPb2DuOfZ/XjkuuWyxhyNxXMcDgC8fLAfd+zciy1tTapKG8t9B4M5IdYh6Csai2Pdji5RLd9+Sstb2powMBpHQQA4NjSOL166ADe1nIM9vYPY1tGD3Qf7ccdTe/HwmmU4q0Z+wpsQQvRg9gCHlhzGDMzoqDm5q9qJ38xptOahUs/Hzt9O9rue2osL62uwdVc3AP8uVCD2w4ERQgg5jZM5k1VjaGI5TiyewN/bMKFvx9gjsQ8j+lBr33J9JjsWoqi9R9oqIdL4efwhGovj/uffwoX1NbixuQETU9MoKSpA19Eh/MN/vI2Nn7kAI+NThsZ99Po6zsXZCye7DZDtJFbU1+DC+dXY3tmTGvQCgOZILW5sbsD7J8cBSK947B+J5zgcgZcP9qN/JJ7zWQqGEPehpOXjw+OYW1mK0uJC3P7T32N32o7u5kgtNrc1Yf2OLnR0D+DIQAwVJUXUOSF5jJUTsmblEXpyGCOY0VFzele13b+Z15B7PuOTCdt+O7nn1NE9gBubGzK+2+sDBVrJhzL8TsF+HiGEzOD2nElrLJTKcW65IoLXjwxmvNeK3IJjj/7CqD6U7FcuJy8PFtoyeablHmmrhIhjdSx1sl/YPxLHrw704VcH+jL+HgoWYnNbE77+b29kjL3r2STh14UCfoOT3QbIdhJVoeKcUsQAUv/++p+fh1uf75IU0/D4pOz3nVR4nRDiDpS0fPiDUXT1DuEXe49nBFvgtL9ob2nA1l3dGBqbdLzzTghxDqcnZNVidw5jxqCO050V5n3SKD2fu65eLPt5M387pec0MTWd8W83DLrbhVf8EyGEEG/j5pxJayyUy3ESyWRqHCD7NTNzCzf/nkQ7Rp6nkv0q5eSbVi2xZSEKbZYQ41ipI6f7hVL31t7SgO2dPTlzdVrHfdy+6I6cpsDpBniZbCEVFQZyxCPQ2T2AosJASkzRWDznPZWlxbLfN0vhdUKIO1DScklRAepmlWB3t3ig7OweQNP86tR7mbgTkp8oDS6I5RJOYXcOY7SjpqazYjXM+6RRej7T00nZz5v526mJ6dnkQ9z2kn8ihBDibdyaM+mJhXI5Tvo4QDZm5hZu/T2JPvQ+TzX2q5STj8anZL/bLLulzRJiHKt05IZ+odS9Nc2vlpyr0zLuwwU33oGT3QbIFtLgqLxhD8ZmXpcSU7giiJWNYdHPrmwMI1zBFSKEeAE5LTdHatF1dChnJ1g2E1PTqfcycSckP3HDhKxa7M5hjHbU3NBZYd4njdLzicUTtv12amJ6NvkQt73knwghhHgbt+ZMemKh1ooxAmbmFm79PYk+9D5PNfarJieXwyy7pc0SYhyrdOSGfqHUvSmNvasd9+GCG+/AyW4DZAtpSmGXyVTi9OtiYqoKBfHQmmU54lzZGMbDa5axHAIhLicai+NQ3wjeHRjF/auW5Gi5OVKLG5sbsK2jR3QnWDpVZcW4sbkB7xwfZuJOSJ7ihglZtdidwxjtqLmhs6LnNxPiTFfvIA59MOLb3bNKz6eqrNg2e5N6Ti1pMT27DX6M2zm2NyZve27yT4QQQryNW8fK9OTqeirGmJ1buPX3tBu/5NV6n6ca+1WTk9sxCe0Gm/WLvZD8xSod2TVuJadBqXurLjNn3IcLbrwDz+w2QFUoiIfXLMNv/vAB6maVoCZUjNZIWLQ0cXOkFnt6B1P/lhLTvOoybGlrQv9IHCfHJzGrtBjhimDeJJuEeJXs80lCwUJsvHoxNnxqEXpPxDC3qhTxqWl8MDKBrV+4CMlkEs2RWtFyKq2RMMYnE/jJ73px/6ol1D8heYobJmS1oDWHEUrjDY9PorKsGOFy9fmO0Jm5Y+devJx1LpSajprQWXlZZAWynZ0VLb+Z0+dg2Yma51MVCtqWM4s9p9LiAtz73JsZO1rMHHAzog+zEbO9J2++VPYzbvNPhBBCvI0bx8r05OpyOU5rYxhzq0rx6BcvQmlxIfb0DuKd48OWjAm48fe0E7/l1Xqepxr7VbLXJIC7Pr0Yr/cOYtPzb6XyYismoZ20Wb/ZC8lfrNCRHeNWajSYfm+jE5OoKgsiiSRaG8OiO8+1jPsYHX8i9sHJboMkAfxi73Hs7u5HKFiIzW1NSCKJjrQJLGE35/odXQCUxVQVyp8EkxA/IHY+SSyewIan9uHb/2MZ5s8O4eH/eDtjYvvK88/AfZ9dgvt/9mZGoGxtDOO+z14AAHjkuuX0BYTkMW6ZkNWC2hzGjAEDIx01N3VW1PxmSudgbWlr8lW8UPt87MyZxb7rkeuWWzLg5qYBNSnbe+XwAFoitRl9HgG3+idCCCHexm1jZXpydakcp7UxjK9eEcH/+Kf/Sk0YtjaG8eDqpZhrUex32+9pF37Nq7U+T7WLS8XstSVSixsuW4hrvt+ZOl7oF+tbMTwWR3mJdZPQTtisX+2F5C9m68jqcSstGhTuTehPv35kEJvbmjCdTGaMyesZ98n3RWJegZPdBkiJ7dRO7lg8gfU7utDe0oCvfDSC4sICTCam8V+HB7B+R1cqAeCKD0L8hdz5JH8cGsNzb/wxZwf3rrc/QEHgAL593XKMjE8xUBJCcnDThKyZmDlgYKSj5qXOippzsNzYbiN44flYMeDmtgE1Kdvb1tGDzW1NCAQCOZPyXvZPhBBCiFr05urZOU55SRFeOzKI9sdfzagYs/tgP77x9D5OpplMPubVYqi133R7jY5NYnwygVfSxrmBmd/t7mf3+9JWaS+EyGP1uJVWDWb3p4W5uvbmBgBA/ewQ6maV6GpXvi4S8xKc7DaAmNhi8QS27urG1l3d2Lb2YuzpHUTT/Go8ct1yLKwN4azqMoqCEJcgVyJUS/lQufNJlp5VhX/81UHR1351oA8brprCuXUVxm+GkDzCTeV9rcYLE35aMTpgYObz90pnxUvnt5uJV56PElI2K/Z3tw2oSdmesMj32a82oyAQ8I1/IoQQIk0+5eBq0Zurp+c4h/pGsOGpfaLvU4r9fCbacXtebeczVWu/gr0e6hvBtT94RfRadvfj7MLt9kKIG7By3EqrBrP708JcncCLt11uq9/xit/zSjuV4GS3AZTEFp+adlRMhBBppEqEPrxmGZKApvKhcueTTExNy7aDiTEh2nBTeV+78MuEn4CRAYN8fP6A985vJ6cRs9lPLKrDxqsX485n9ufY8vqPNcpez+68Qc72YvEECgIBLtojhJA8IF9zMDUYzdX15sZ8Jvpwc17txDPVYr/52I9zs70Q4iasGrfSqkE3LVDxit/zSjvVUOB0A7xMeVB+rcBZNaWp/+fZdYS4B7kSob/5wwe4/afS5UOjsXjO9YTzScSoLmNiTIhZKJX3FdMncR96Bwzy+fnLxRnmmO5FymbPm1uJDU/vE7XluMIiObvzBtoeIYSQfM7B7EBPbsxnoh+35jZeeKb52I9zq70Qki9o1aBbFqh4xe95pZ1q4WS3AYoLA2iO1Iq+1hypRVlxIQCeXUeI25ArEVo3qwS7u+XLh2YjnE+SHXxXNoaxoDbExJgQk1BT3pe4H70DBvn8/OXiDHNM9yJls03zq9HZPSD6mVcOD6DVRXkDbY8QQkg+52B2oCc35jPRj1tzGy8803zsx7nVXgjJF7Rq0C0LVLzi97zSTrX4toz5u+++i02bNmHXrl14//33MW/ePFx//fW48847EQyaY9QDo3HceOpw+/QBq+ZILW5sbsBQLI4Xb7ucZ9cR4jLkSproLTsudz7JQ2uW4Y6de/GySMl0+gZC1OOmckREP3r9Yr4/fz+e3+53pGxWLtfY1tGDn93agvuee9M1eQNtjxBC8pt8z8GsRk9uzGdiDDfmNl54pvnaj3OjvRCST2jRoFvG4b3i97zSTrX4drL77bffxvT0NH74wx8iEolg//79+PKXv4zR0VE88sgjpnxHRUkR/r9tv0N7SwPamxswMTWNkqICdB0dwvodXXjqK5fxDDtCXIhcSZOSIvmCF3LlTqTOJ2FiTIg5uKUcETGOHr/I5++/89v9jpTNyuUasXgCAcB1eQNtjxBC8hfmYNajNTfmMzGO23IbrzzTfO3Huc1eCMk3tGjQDePwXvF7XmmnWnw72f3JT34Sn/zkJ1P/Puecc/DOO+/gBz/4gWmT3TXlQVxUX42tu7pzXmuJ1KKmnEGQEDcilDR5WaRMR9/JCcnXjJQ7YWJMiHHktMtjAbyHVr/I50+8hpTNdh0dQkukFh0ipcxXNoZRWx5k3kAIIcQ1MAezBy2xn8/Ef3jpmbIfRwhxO073p73i97zSTrXk1Znd0WgUs2fPNu16cypL8cDqpWjJOre7JVKLB1YvxZzKUtO+ixBiHnLnfVzxoTN4Hg8hLoXnZeU3fP7Ea0jZ7DvHh/HA6qW0ZUIIIZ6AOZj74DPxH35+pn6+N0IIEcMrfs8r7VSLb3d2Z3Po0CFs2bIF3/nOd2TfNzExgYmJidS/h4eHZd9fX1uO73zuQgyOxjE8PoXK0iLUlAc50U2IzWjVrlJJE6fLnRCSL5itXeJv+PzdgVbd5jNyNktbJnZD7RLiTdygXeZg7oPPxP2wr3saP98b8RduiLnEH3jF73mlnWrw3GT3vffei/vuu0/2Pa+++ipWrFiR+vexY8fwyU9+Etdddx1uvvlm2c8++OCDitfPZk5lKSe3CXEYPdqVK2nidLkTQvIFs7VL/A+fv/Po0W0+I2WztGViN9QuId7ELdpl3HIffCbuhn3dTPx8b8Q/uCXmEn/gFb/nlXYq4bky5uvWrcOBAwdk/1uyZEnq/ceOHcMVV1yBP/uzP8OPfvQjxetv2LAB0Wg09d/Ro0etvB1CiElQu4R4E2qXEO9B3RLiTahdQrwJtUuIN6F2CfEe1C0h3sVzO7vD4TDC4bDyGwH88Y9/xBVXXIEPf/jD2L59OwoKlOf2S0pKUFJSYrSZhBCboXYJ8SbULiHeg7olxJtQu4R4E2qXEG9C7RLiPahbQryL5ya71XLs2DF89KMfRX19PR555BF88MEHqdfOPPNMB1tGCCGEEEIIIYQQQgghhBBCCCHEKL6d7P7P//xPdHd3o7u7G2effXbGa8lk0qFWEUIIIYQQQgghhBBCCCGEEEIIMQPfTnavXbsWa9euNXwdYWJ8eHjY8LUIIfqZNWsWAoGA6vdTu4S4A2qXEO9B3RLiTazS7sjICAAg+t5hTE8l9DdQ7Np9f5xpw/vvml4y0qpre7HNXr22F9sMACffPzLzHSMjqmIj4y4h3oTaJcR7ULeEeBM12g0kuc1Zlvfeew/z5893uhmE5D3RaBSVlZWq30/tEuIOqF1CvAd1S4g3oXYJ8SbULiHehNolxHtQt4R4EzXa5WS3AtPT0zh27JjmVT9eYHh4GPPnz8fRo0c1OXmvwfv0B1o1aJV2/fQ7817ciZ/uBXCPds3Cb8/HKvg7qcOtv5OVunXrPauBbXcGtl09ZmnXy7+5HLwvb5FP9+WFfNnrz8Pr7Qe8fw9+bL8btOv139Ur8He2Bzt+ZzfoVo58tbV8vG/es7Z7VqNB35YxN4uCgoKcM7/9RmVlZV4IiveZX1itXT/9zrwXd+Kne9GCV+Juvj4frfB3UofXfyc9uvXyPbPtzsC2m4+Sdt3abqPwvrwF7ysXJ/Nlrz8Pr7cf8P495HP7rdSu139Xr8Df2R7c9Ds7FXPd9BvYST7eN+/ZPApMvyIhhBBCCCGEEEIIIYQQQgghhBBiMZzsJoQQQgghhBBCCCGEEEIIIYQQ4jk42Z3HlJSU4J577kFJSYnTTbEU3icxEz/9zrwXd+Kne/EjfD7q4O+kjnz8nbx8z2y7M7Dt9uPVdivB+/IWvC934dV2C3i9/YD374Httwa3tstv8He2B/7O+fsb5ON9857NJ5BMJpOWXJkQQgghhBBCCCGEEEIIIYQQQgixCO7sJoQQQgghhBBCCCGEEEIIIYQQ4jk42U0IIYQQQgghhBBCCCGEEEIIIcRzcLKbEEIIIYQQQgghhBBCCCGEEEKI5+BkNyGEEEIIIYQQQgghhBBCCCGEEM/ByW5CCCGEEEIIIYQQQgghhBBCCCGeg5PdhBBCCCGEEEIIIYQQQgghhBBCPIevJ7sffPBBXHzxxZg1axbq6upwzTXX4J133tF0jWQyieHhYSSTSYtaSQixAmqXEG9C7RLiPahbQrwJtUuIN6F2CfEm1C4h3oO6JcQ7+Hqy+6WXXsJXv/pV/Pd//zdeeOEFTE1N4c///M8xOjqq+honT55EVVUVTp48aWFLCSFmQ+0S4k2oXUK8B3VLiDehdgnxJtQuId6E2iXEe1C3hHiHIqcbYCX/8R//kfHv7du3o66uDq+//jpWrlzpUKsIIYQQQgghhBBCCCGEEEIIIYQYxdeT3dlEo1EAwOzZsyXfMzExgYmJidS/h4eHLW8XIcQ41C4h3oTaJcR7ULeEeBNqlxBvQu0S4k2oXUK8B3VLiHfxdRnzdJLJJG677Ta0tLRgyZIlku978MEHUVVVlfpv/vz5NraSEKIXapcQb0LtEuI9qFtCvAm1S4g3oXYJ8SbULiHeg7olxLsEkslk0ulG2MFXv/pV/PznP0dHRwfOPvtsyfeJrd6ZP38+otEoKisr7WgqIUQH1C4h3oTaJcR7ULeEeBNqlxBvQu0S4k2oXUK8B3VLiHfJizLmt956K5577jm8/PLLshPdAFBSUoKSkhKbWkYIMQtqlxBvQu0S4j2oW0K8CbVLiDehdgnxJtQuId6DuiXEu/h6sjuZTOLWW2/F008/jd/85jdoaGhwukmEEEIIIYQQQgghhBBCCCGEEEJMwNeT3V/96lfx5JNP4tlnn8WsWbPw/vvvAwCqqqpQVlbmcOsIySUai6N/JI7h8UlUlhUjXB5EVSjodLNMJ1/uM5/hM7Yf/uaEiCOlDWqGEGfI1l5FSRFGJ6YQHaMWCTEDxjdr4e9LCCHED/ghnrnlHtzSDuIOaA/O4evJ7h/84AcAgI9+9KMZf9++fTvWrl1rf4MIkeHY0Bhu37kXuw/2p/62sjGMh9Ysw7xq/yzOyJf7zGf4jO2Hvzkh4ohp4xOL6rDx6sW485n91AwhNiOmyZZILdY2N2D9ji7E4glqkRADMCe0Fv6+hBBC/IAf4plb7sEt7SDugPbgLAVON8BKksmk6H+c6CZuIxqL5zhCAHj5YD/u2LkX0VjcoZaZS77cZz7DZ2w//M0JEUdKG+fNrcSGp/dRM4TYjJQmO7oHsL2zB+0tM0dOUYuE6IM5obXw9yWEEOIH/BDP3HIPbmkHcQe0B+fx9c5up2CpAqKV/pF4jiMUePlgP/pH4r6wIb/fJ7Xv/2fsRvibEyKOlDaa5ldj665u0c+4XTOMM8QpzLA9uXjV2T2A9uaG1L/drsV8h77InTAntBb+voQQkr/4KffxQzxzyz24pR35gBc0SHtwHk52mwxLFRA9DI9Pyr5+UuF1KzEzmLj5Po1C7c/g52esBTuTMP7mxE/YEXMmpqZlP+dWzTDOEKcwy/aU4lW2Nt2qRbtw64AOfZF7yceckDk3IYQQq/Fb7uP2eKYmtrvlHtzSDj+SbgflwSK83juITc+/hVg8AcCdGqQ9OA8nu01EqVTBlrYmVwxQEPdRWVos+/oshdetwuyEzq33aRRq/zR+fcZasLsjxN+c+AW7Yk5JkfwpPm7UDOMMcQozbU8pXmVr041atAu3DqrSF7mbfMsJmXMTQgixGj/mPm6OZ2pju1vuwS3t8BtidtAcqcXmtias39GFWDzhSg3SHpzH12d2242aUgWEiBGuCGJlY1j0tZWNYYQr7HfaVpwz4cb7NANq/zR+fcZqceJ8lnz/zYk/sDPmdB0dQkukVvQzbtUM4wxxCjNtTy5eNUdq0XV0KPVvt2rRDtx81ht9kbvJp5yQOTchhBA78GPu49Z4piW2u+Ue3NIOPyFlB53dA9je2YP2ltyjr9wC7cF5ONltIixVYB/RWByH+kbQ1TuIQx+MODroYwZVoSAeWrMsxyGubAzj4TXLHFmhZEVC58b7NANq/zRSz/gTi+rw4LVL0T8S941uxXCiI+RXXZH8ws6Y887xYTyweqmpmrE6L2GcIU4xMjGJdVdG8NgNK/DoFy/CtrUXY92VEYSChQC02Z6UJlsitbixuQHbOnoAMH65eVCVvkg/dvRf8yknZM5NCCHEDtyU+5iVS7g1nmmJ7W65B7e0w0/I2UFn9wCa5ldn/M1N/Y98HxN3AyxjbiIsVWAPbi3rZ5R51WXY0taE/pE4To5PYlZpMcIVxs4cM3KGmVUJnRX36TR+0r4Z595lP+PKsmIECwtwx1P7fKfbbJzqCPlRVyS/0KMdNf5KThtmacaOvMRPcYZ4i6qyILp6B7F1V3fqb+kl5LTanpgmK0qLMDoxhSdvvtSQFt16xrVW3DSomg19kT7s7L/Oqy7Dt69bjsHROIbHp1BZVoSaUBBzKktN/R6nYc5NCCHEDtyS+5iRS2Tnyt++bjlGJ6YwPOaOeKY1trslJrulHX5ByQ4mpqYz/u22/ofWMfHyYKEv+rBugZPdJiKUKnhZZPUJSxWYgx/PSkmnKmSeQzOaCJmZ0IkNPp5bV6H6827HL9o3cyAu3ZajsTjW7ehyrW7NHBx3siNkpv8gxE6isTjKigvx6BcvQmlxIfb0DmJbRw9i8UTqPdna0eKvpLRhhmbsykv8EmeIt4jG4tj4zH50dg9k/F3498arF+uyPSvilZ8Ww1aWFiMULER7SwOa5ldjYmo6wzc6OaBDX6Qdu/uvftJCOtn5+uxQEKFgYUaukA5zbkIIIWbghtzHjFxCLj845wznxmfT43tZsBDrrozkjAUIiMV2t8Rkt7TDDyiNq5YUnS5UbUSDVi6UVjsmfvvOvfjU0rnY8NS+1N/9kLc7CcuYmwhLV1iPm8v6uQkzzjAz65yJY0NjWLejCx/77ktY/egr+Nh3XsKtO7pwbGhM1ee9gB+0b+W5d27Wrdn2yfNZCNGGoMFP/u/duOXHe9D++Kvo6h3E5ramVJnkbO246Txbu/ybH+IM8R79I3Hs7pYuIXdRfbUrbM9NPsEMwhVBbFt7Mbp6B3HTE69l+MZtay92NJegL9KOnXmw37QgIJavb3x2P7atvTiVK6TDnJsQQohZuCH3MZpLuDU/yI7vn/zH3XgjayxAgLE9f5AbV22O1KLr6BAAYxq0c65CTr+7D/ajblZJxt+c1qXX4c5uk2HpCmtxc1k/N6EmEVKySSGhu2Pn3owVjK2NYdzz2QswMBpPvU8Kv+/ET8fr2jfDZqRwq26tsE8p3UglYX4puUqIHqQ0KOwabW9pwN6jQzna6Ts5YZm/0oqd/s3rcYZ4DyX7HpPYUWk3SjnM8eFxAPI5q9v4/q5u0R31BYEAtrY1OdSqGeiLtGFnnLAyn3cKuXw9iZkKE9m7YZhzE0IIMROncx+juYQb8wOp+N6RNhYgHKPU2hjGA6uXMm7nCXLjqvevWoLhsThWX3iWoaOv9IwF680ltZZlF9rixbzdDXCy2wJYusI63HJWitsxa1BFSOgGRuOYTExjKpHEwGgcvQMxvN47iHeOD+O+VUskS2u4MaGyEi9r38qBOD26tWNAyir7VNsR8muZSULUIqfBzu4BbPz0Yny5pSGj/NP7w+MYHJ3EtrUXi5Y7B+xdQGN3XuLlOEO8h1fybrEcJr0M+ODoJAZH46ifHcJZNSEHWqgNuR31u12SP9MXqcdOHTm1wNTKvF1pN8zdVy/Gi7ddzpybEEKIpTiZ+xjNJYzmB1bEebn43tE9gA1XLcLiuZUoKSpA19Eh3PezN2XHn4m/kB9XLTd0bT1jwUZySS1l2dNRm7dzQWcmnOwmnsINZ6V4ATMHVapCQZwcn8LGZzPPbGyO1OLG5gbc8+x+PHLdclFH6tYdvSQXKwfitOrWrgEpK+1TqSOUT1UPCJFCSYPjk4mUDo4NjeH2n+7NmABqjtRic1sT1u/okj3f20qYlxA/4xX7zs5hQsFCbG5rwvbOntSOEABoidTioWuX4ezZ7p7wZv7sL+zUkRMLVKzO25X0MDoxhQvrayRfZ85NCCHE6xjNJYzkB1bFeaX4fuREDLf8eE/G3yamGLfzCasWmGjtaxnNJeX0m16WPRs1eTsXdObCM7uJp3DDWSlewMxzg6OxODY8tVe0lOL2zh6cN7dS8nwYr+wIItaeNa1Ft3aeJeSkfbr5HHNC7EKtBlN+IWunoxCH2lsaUn+zewKOeQnxM16x7+wcpr2lAds7e3Jy147uAWx4ep/rzz9j/uwv7NSRlfm8GHbk7Ub1wJybEEKI1zGaS+jND6yM83p2uzJuEzPQmlsazSXl9HvrlY3Y1tGT8xk1ebud4+degju7iedw+qwUL6D13GA5ZkopDoi+1tk9gPbmBskdJl7ZEUTMtRkx1OrWztL3Ttond20Rol6DSuXO25tnJrtbHZqAY15C/IwX7Ds7h2maX52xozsdt5QBl4P5s/+wS0dW5/PZ2JG3G9UDc25CCCF+wEguoTc/sDLO693tyrhNjKI1tzQjl5TSbyyewIoFNbry9nw7OlYtnOwmnoTnxClj1qCKklOfmJqWXFFv94ALMYbVA3FqdGvngJST9sldW4So16CSXwgFi/DYDSsQOaMCcx0q1cS8hPgZL9i3kMMcj45jMObtyS3mz/7ELh3ZuUDFjrzdqB6YcxNCCPELRnIJPfmB1Uf/icX31sYwbrhsIdbv6BL9HOM2MYrW3NKsXFJMv1Uh6M7buaBTHE52E+JjzBhUUXLq1WXFsivqvbAjiJzG6QFtuweknLJP7toiZAY1GlTyC7H4FJ545V1saWuyurmEEBcj+I0To/Il27wwSMb8mRjBrnzerrzdiB6YcxNCCCEzaM0PrI7zYvG9orQIdz29D7F4Iuf9jNvELLTkllbnknrzdi7oFIeT3YSQDKKxOPpH4hgen0Rl2UyiIeXUWyK1WFAbynHK2dcIlwdxbl2FXbdAPIwTA1Lp9js8PgkEcv8uIGbbepIS7toi5DRKyb1SibO+kxOSuonG4ug7OYGhsUmUBwtRXlKE6rJiaowQk4jG4hiKTWI0PoXReALVZcWom1XimMaqQkEsqA2hJVKLDpFjeLw0SOb0AkRClLA6bxeL4Q3hck26YM5NCCGE6MOsOC/XJxfLd+9btQQTU4zb+Y5Z469SqO1rmZ1LmnVfXNApTiCZTCadboSbGR4eRlVVFaLRKCorK51uDiGWcmxoDLfv3Jtx5sMnFtVh49WLcdcz+3NKyzy4einOnh1SvMbKxjAeWrMM82wsL0vtepdjQ2OSSYQVJYrV2qwVti0kOdy1dRpql4gh5hdaG8PYtGoJakLik9fHhsZw+0/3Ynf36c80R2px65WNWDA75FjJcz9C3eYnx4fGcOREDFt2HURn2sRy66mYbWfel817J2LY8PS+nJhtVS7hVahdYhSr8nazY7jfcm5qlxBvQu0Sr2E0zuuN526K29St/bhlbiEdM2zS7Puye/zcC3CyWwE6NGI3Vq9ckvvedTu6MhyuwCcW1eGbq5diZHxK1qnLXWNlYxhb2ppsS06oXW+RbvdVZcUoLylStDezvleNzbrJtv0OtUukUNO5EN6TSCax6WdvYrfIzs7mSC2uXjYPn1pyJnVrEtRt/hGNxfGL/e/j+b3HMia6BVY2hvHt65ZjZHzK9pw2vY1uGSRzK9RufmNWv9NsrUVjcax7sitjYFyAMXwGapcQb0LtEjegNf7rjfN+iefUrb34dfxV632p1Sn7vJmwjDkhLsLJlUv9I3FRhwsALxzowx1XTSmWIpe7xssH+9E/Es9rh0vEkbN7q8vfq7VZ2jYhzqNUZirdlzx2wwrRiW4A6OweQHtzA3VLiAH6R+Kom1UiOtENzMTGQ30j+MK//Db1N7tX47MMOCHSmNnvNFtr/SNx0YFxgDGcEEIIMYKe+K83zjOeEz34dfxVy31p0Sn7vJkUON0AQsgM0Vg8x5EBMw7vjp17EY3FLf3+4fFJ2ddPKrxu1jVIfuEVu6dtE+Jusn3JxNS07PsnpqapW0IMMDw+qaizobFMjdkV2wkh8jidfyuhlHczhhNCCCHasTv+M54TPfh1/FXtfbk9T3c7nOwmxCWoWeFjJZWlxbKvz1J43axrkPzCK3ZP2ybE3WT7kpIi+RS3pKiAuiXEAJWlxap0lo0dsZ0QIo/T+bcSSnk3YzghhBCiHbvjP+M50YNfx1/V3pfb83S3w8luQlyC0yuXwhVBrGwMi762sjGMcIVySQwzrkHyC6/YPW2bEHeT7Uu6jg6hNVIr+t7mSC36Tk5Qt4QYIFwRRN/JCTRL6Kw1Uouuo0Oir3l1NT4hfsHp/FsJubybMZwQQgjRh93xn/Gc6MGv469q78vtebrb4ZndhGggGoujfySO4fFJVJYVI1xu3rkITq9cqgoF8dCaZbhj5168nHUmxMNrlqm6TzOuQYxjpZ2ajVfsnrZNiPPI+bZsX7Ktowdbv9AEIJBxTlhzpBa3XtmIhbND1C0hBqgKBfHRD52BhnA5AGSc3d3aGMaNzQux7skuAEAoWIj2lgY0za/GxNQ0SoOFiMa8edYaIXpwW27udP6thJB3Z5dwZAwnhBDiZ6zOF+yO/4znRA9+HX+tCgXx8Jpl+M0fPkDdrJKZfnFxIf40PI4rPnSG5NhWNk7n6W6Hk92EqOTY0FhOgF7ZGMZDa5ZhXnWZ4esLK3xeFilVYdfKpXnVZdjS1oT+kThOjk9iVmkxwhXakiszrkH0Y7Wdmo2X7J62TYhzKPm2bF8Siyew7sku/NXKc/B3f3EeJhPTKA8WojxYhOpQMXVLiAnMrS5DKFiIB65ZitH4FGLxBKrKilFZVoy7nt6HWDyBULAQm9uasL2zB1t3dac+6+bchBAzcWNu7ob8W4l51WXY2taEvpMTiI5NIsQYTgghxMfYkS84Ef8Zz4ke/Dr+mgTwi73HMzZkrGwM4/IPnZH6txfydDcTSCaTSacb4WaGh4dRVVWFaDSKyspKp5tDHCIai2Pdji7RMxNWNoaxpa3JFId7bGhMcuXSXA4GaiIftWuXnZoN7Z6kk4/aJfKo9W30Jc5B3ZJsBD0um1+Nrt7BjJ3fAm7OTfIFatda3JybM2Z6G2qXEG9C7RIx7MwXGP+1Q90SM9Cic+pUP9zZnce4rZyam+kfiYs6IwB4+WA/+kfMKcXo15VLxBhqtWqXnZoN7Z6Q/EbJx6n1bfQlhLgHQY/Ho+MZO7rTkcpN2Ech2XjVJtycmzNmEkIIIcYwKz+xM19g/CfEXKwYs6dO9cPJ7jzFrPIoXh140Mrw+KTs6ycVXpdD7Dc8t65C9/WcJl9swi60aNWonep9dmY886oQ7cQI1B3xCoKtjkxMojoUxPhkAu8NjiEQCGBP7yC2dfRgxYKaDB+nxbdZ6UuoM+JFnLTbqlAQh/tHZd+TnZso5T1O5irEGczotzr1/K3sQwLG74v5dy70FYQQQtQg5CevHxlEe0sDmuZX493+UcyvCWFOZYmm2KElX/Dz+BtjMHEzYvY5Gk9YNmYv6FT43sP9o6gsi+fogrrJhJPdecifhsfxbv8o2i6px43NDanB5ZcP9uOOnXtVl0dx4/ljVlFZWiz7+iyF16Xw22/ot/txmmgsjruf3Y/l86ux9rKFmJiaRmlxIfb0DuKeZ/fjkeuWZ2jViJ3qfXZ85s7DZ0C8QvqAwOa2Jnz7l++gI620cXOkFpvbmrB+R1dGPqLWt1mZ5FNnxItYbbdqNKclN4nG4jntBWZWut/z7H7c85kLsOHpfcxV8oRoLI6+kxPoPRHDjc0NWD6/Gts6ehCLJzT1W518/lb1IQHatRXwNyWEECJGds5bUVKEu5/dn+rXbu/syahkpDV2qM0X/Byn/HxvxL2oHUMSs88Hr12ac/42AMl+ip5+gZIuqJtcCpxuALGXY0Nj+Pq/vYEv/MtvccuP96D98VfR1TsTnEPBwlTZBCXkBqPu2LkX0ZjyNbxEuCKIlY1h0ddWNoYRrtA+mO6339Bv9+MGBkbj+MtL6tHVO4ibnngtQ7Ofv6QeA6OZv6leO9X77PjMnYfPgHiFdFttb2nA9s6ejIluAOjsHsD2zh60tzRk5CNqfNuxoTGs29GFj333Jax+9BV87Dsv4dYdXTg2NGZq29Ohzoibsdpu1WpOS24iV9rtvLmV2PAUc5V8QbCvT3zvZdz0xGs5fVYAqvqtTj9/K/qQgPP35Uf4mxJCCBFDLOf9+v/7Pf7yknr81cpzsL2zB51Z/VqtsUNNvuDnOOXneyPuRW1/Vso+62aV5Ex0C4j1U7T2C5R08afhcepGBE5220w0FsehvhF09Q7i0AcjthpeSiQyg8uAunJqas4Z8BNVoSAeWrMsxymtbAzj4TXLLDuTxUv47X7cwNR0UjRxFjSbmE5m/F3KTlsbw7h/1RLJ79H77PjMnYfPgHiFdFttml+d49cEOrsH0DS/GsDpfEQpBgOwNMn3us6czD2JfWQ/56HYJF4/Mij6XqN2q2VASksOLVfarWl+dU4fJv17mat4l2zblRq4ye6zAsr9VqefvxV9SMD5+/Ij/E0JIYSkE43FcaR/FLf/9Pc58WH3wX5s7+xBSyQs2a/VEjvU5At+jlN+vjfiTrT0Z6Xsc2JqWvY7xMqSa+kXKOlicJS6EYNlzG3E6dICciLp7B5Ae/PMwIGacmpWnz/mRuZVl2FLWxP6R+I4OT6JWaXFCFfoL5Hqt9/Qb/fjBqank7ITQtmT3cBpO31/eBzvDc6sRus6OoRPbd6dcw6ugN5nx2fuPHwGxCuk26pSp0B4PT0fkYvBh/pGFJN8I+XMvawzp3NPYg9iz7m1MZw6FiAWT+R8xojdqhmQStec2hxarrSb1sEEAS/rNx8Qs90nb75UVZ8VUO63uuH5m92HBNxxX36DvykhhBABIT9Ze9lCycWWnd0DuPWK3DG5dLTEDqV8wc9xys/3RtyJlv6slH2WFMnvIS47VY0qHS39AiVdDI9Pyb6er7rhZLdNKK0YUXtOthGURDIxNa26nJqV54+5maqQeed/+u039Nv9uIFYXD5wiQ1eC3zz5wdU+xu9z47P3Hn4DIhXSLdVpU5BSVGBaD4iFYOt7hx7VWduyD2J9Ug9590H+zGdTKK9pSHjDEEBI3arR3NqcmihtNvLIgMP1WXMVfyGlO0OjSn3WQF1ZcDd8vzN7EMC7rkvP8HflBBCCJCZn7RdUi/73lBJ7mRWOlpjh1y+4Oc45ed7I+5ES39Wyj67jg6hNVIruiCmOVKLPb1DOLOyNEfTavsFSrqoLJWf1s1X3bCMuU24oSSHkkiqy4pVl1Oz6vyxfMJvv6Hf7scNVJXJ/2ZVEgO/Wv2N3mfHZ+48fAbEK6TbatfRITRHakXf1xypRd/JCU3lXa3uHHtVZ27IPYn1KFVuEo4FSMeo3VqlObnSbgtqQ8xVfIaU7apdEKUmTvj1+fv1vpyEvykhhBAgMz9RykmKCgKS/VqzY4ef45Sf7424Ey39WSn73NbRg3s+c0GOD2iO1OLG5gZsev4tQ2MuSrqoKaduxOBkt024oSSHnEhaG8M4t64Cc1WWtLTq/LF8wm+/od/uxw3oTfi0+hu9z47P3Hn4DIhXSLfVbR09uLG5IadT0NoYxreuWYpPLTlTdT4CWN859qrO3JB7EutRes7ZmGG3VmpOKO324m2X45lbLsOLt12OLW1NOKsmxFzFZ0jZrtyCqNbGMCJnVGBLW5OqOOHX5+/X+3IS/qaEEEKAzPxELieZyXlL8K1rlqLVhtjh5zjl53sj7kRLf1bKPlcsqMHJ8Uk01dfgsRtW4NEvXoTHbliBpvqa1FFiRsZclHQxp7KUuhEhkEwm5Q+YyHOGh4dRVVWFaDSKyspK3dc51DeCj333JcnXX7ztcpxbV6H7+mo5NjSGO3buzSgPKIhAy8CyQDQWN/X8sfRrDo9PorKsGOFyc8u+uQ0rfkMnccv9mKVdp9GjWb3+Ru+zc8szdztW+jY/PQO/aJeII9jq6MQkqsqCiCemMToxZdhujeQ3arXpNZ3ZmXtSt84h95xDwUL8Yn0LxienMTw+hcqyItSEgphTWWr4e83uU6iFuYq5OKldKdsNBQuxua0JT7zybsbOb7f1Wd2AGfeVb31vJbxiK4y7hHgTatf9pOcnQk6yvbMHnWmlirNzEjtjh5bv8lqMd2sMpm7dixEb19qfFbPP/pG45WMuSrpwq26cgmd224TcGXR2lhYQdkuYJQKzzx87NjSWc3bbysYw7l+1BNGxOCpK7Q3OdiQGZv+GTuO3+3EaPZrV62/0Pjs/PnOztB+NxTEwGkcSwL3P7s84y2VlYxgPrVmGeSZMCvjxGRB/Imargt4O94+isiyuS2968xupvEPQZo4vqAjasjjRDNySexJrSX/OoWAh2lsa0DS/GlPTSZx7Rjk2PvMmdneL27cRtGrOrLjKXMU/SPmoWDyBn/yuF49ctxwj41Ou7LO6BeG+9MZRpRioB68NrGfjV1shhBCijvT8JBZPYP2OLrS3NKC9uQHA/5+9d4+Pqrz3/T+TSSbJJORCxigggeDECnIxSHVLErzVWqsVkW13se0Ro7bdFNmtu3srVbxhRWvb3Q3Us+tvi9pzWk7PrghK3dtt5bRyaa1ALCBoCbegoHFCZsJkJrMmM/n9Eda4Zmbd17NuM9/36+XrJZlkrWfW+t6e7/M83y/QNNaPxjHlWb7CbN+hZ06q1cc7wX+TDya0oEXGxeQ7dz5bVV4Kn7cEvaeHEEum8nRASj7Nzrko6QXpTTZ0slsBlrt37DoB4RYiMQ5L13eJ9m5rCzagtakea7d0656Aa3XcZkz+Ceso9p13ZG/0w0r3+evMmliHrp7+rJ3AwuuuWdTKJDBxwuSEBcWuu8WGXb42EuMQjiXxwMa9WZtQhGNYdfMM3Ldhr6vjAKt8AemtvZwIx/HQpn34u0uaMidPll4VtMT3qB0fxdTOxG7dpXjVOHr1S27urddGGE06ujFutQu7dZcgCH2Q7roDJ8Unevy8Vh+v9h7F6rtJb+1BTt60yLga+TYyX3WSvSCKYLH7zTffxFNPPYVdu3bh5MmTeOmll3DTTTep/nvWBo1KC0ijVG7z2dvm4I4XdgLQPgHXs6ON9eSfsBYKRsje6IGV7guvI7RdYrAoa1NICwmku8WDXb6W15fFcyfL6uav7rwUt/77W5aOzQys8AWkt/bz8cAQvvd/38ls3lDyPa99pwOfOcf8d0UxtbNxgu5SvKofI/rFutUF66QjIY8TdJcgCO2Q7roHJ8Qnev28Fh+v9h7F7LtJb61HSd7Uyrga+QZgeL7qBHtBjFJi9wDMZnBwELNmzcLatWvtHgqA0dIC5zVW46KmepzXWE2CL2BgKCn7eWI4nfn/Nw+GEIpyqq4biXF5BpK/xn0v7kEkln+dUJQTNXJa700QdkL2RjusdF94HaHtEuO0gu1TQo+NIwgnYIevFeqLkm6G4+K66bY4gHxBcRAdGs6qUqAk3x/0xy3xDxRTE0qQjdKPEf1SmntrjU/VjoXiVoIgCMINOCE+0evntfh4Nfcg301YiRp5UyvjauSbxXzVCfaCGKXge3Zfd911uO666+weBqGCmooy2c/LS7P3ZqidgKsxWrlGiPXknyAId8BK94XXybVduYxRsH1K6LFxBOEE7PC1Qn1R0k25zykOIJxGrj4pyTcAS/wDxdQEYR5G9Etp7q01PmWZdKS4lSAIgiD0+3ktPl7tPch3E1ahJlZUK+Nq5Fup5DXNV91FwS92ayWRSCCRSGT+PTAwYONoiotAtQ/zWgJZPQ542oIN6DoezvqZ2gm4nuCA9eTfbbixDwvpbuFipTyy0n3hdbqOh9EWbJDsmxqoNvZd3L6QQLpbvJjla+VshlBf5HSzoyWQF3ewGFuhQHrrPHL1qet4GB3BBtGe9HxcXVtZhkjM3ORUscfUToN0t7Awol9yc2+t8WkkxqGyzIunvzobFWVe7O7px7ptRxDjUnljcXvcahekuwThTkh3CSPo9fNKPr66ohSHeqMYGEqi0ufF0quCeX5beI9i892kt/aiRt6aA1Wq4lgWc1E3zFfduI5jFgVfxlwrq1atQm1tbea/iRMn2j2koqHW78MTC2diXksg6+dtwQbc3taMdduOZH6mZQKux7DxgYEYRhenIjEOh3qj6Orpx6FPoobKvbC8Fs+JcBxL13fh6p/8AQue3oGrf/wH3L2+CyfCccPXNhPSXWdiVEatlkdWui+8zrptR3B7WzPagg1513ty4UzDAYjbFxJId4sXvfomZ1eUbIZQX+R0c9WCGXj/pPiklsUmFbdDemsfUvKfq0/rth3BihsuzJNvYVwdiSfzfCrr2NLMmJrQDuluYWFEv6Tm3lrjU97vfuFft2LJL3ej8/m30dXTj9WLWuH3efPGUl0uf97C6XGrXZDuEoQ7Id0ljKDXz8v5+Mdumo77X9qbmS9/4adb8U6O3/afWQD/1Z2XIhLnUHnm51IUmu8mvbUXNTlOtXGsGh3SomdG58q0jmM+npGREaXT+gWDx+PBSy+9hJtuuknyd8R270ycOBGRSAQ1NTUWjJLgd6OcPrPDbHdPGCs378/sMOMN17i6StXXu3t9l+RunzWLWkUn8yfCcdz34p6sv9N6b7Fr5vadmNcSwBMLZ2K8xmuyvBZPJMZh6fou0XIhcs/KCZDuOg+jMmqXPIqNuy3YgLuvasGksX7V+i+0IX6fF53tzZg7pQHlZSWoqxwNqFiMX6+Ncwqku8WNVl8rZ1eqfF5FmwEgS1943WydWAcAaBrrR+OYctT6fcxsQSFCemsPSn41V5++e00LGqvL0VhTgcRwGuWlJeg6Hsa6bUfQ2lSH1qZ6rN3SndGPQS7FPLbkx806pib0QbpbeBj1VcK595iKMk3xqVys3hZsQGtTPfYcD2d0/UQ4jj/89RNs3nNCsuKR0+NWuyDdJQh3QrpLGOFkOI5jp2JYs+Vglt/saAnghyri6FwfX11Rivtf2ovfHejN+932YAMuaqrHum1HsHpRK57bfiRzz6VXBfFOTz+2FYnvJr21Fy05TjVxrJq5qNrfMTJXpnUca6DFbgUGBgZQW1tLBs1GjEzAefQm2VjcW3gtVgbILGN2qDeKq3/yB8nP37jncpzXWK36enaW0SDdtRcjMsrLzakYh9NDw6KlEAHt8qhl7K/u+wiNY8rzFgfmTKrXrKusbIgchbSQQLrrbMyw62r1RMmurJw/HZf/6PeS9+Fthlp9YWkLCh3SW/NR61eF+lRTWQaftwTff2lvlrzzp7uXre/K+NY/fO8KPLBpn2kTZav8oZaxUJk30t1CwE5fJTd39Pu8+O3d7RhOjyCaGMbYKh8eeGkfdp05PSZMogPujVvtgnSXINwJ6S6hFj7233WsP7M5m/fzvacT+OL0czT7d6HfFm76TgynUVHmRXODH8PpETz6yrtZrZD8Pi9WL2rF89uPZC14F4vvJr21HtY5TjVzUbnfMboOY/U6Dq/fN8wYh3gyVVRzXurZTTieWr9xZRxfV4k1i1o1J9lY3JsnFOVEjRoAvHkwhFBUfc9EltcSwrIPixk7lgj3oFdGpU6nrF7UmpWUB8zrCxSKcli+Ya/oZ1r1i6UNkUOvjSMILZhl19XqiZJdGeSGZf+etxlq9YWlLSAIo6j1q2L6tGZRKz4Mx3G0L5ZZCMv1qYPcsCmxJY9V/lAJik+JQsNOXyU1d+ST4g9u2pdJlj972xxs7R7Vu2Xru9DZ3ozOtuZM4j54VnXBJ8sJgiAIQi3C2H/tlu68zy+ZPFazf+f9Nu+nn9t+JOvaHS0BPHD91KyFbgCIcamM737g+mkYSqYo50SYCuscp5q5qNzvGF2HsXIdR0q/i2XOW/CL3dFoFN3dn77YI0eO4J133sHYsWPR1NRk48gIq7E7ycZyIZnltYSw6v0biXF5iURg1IDf9+IeOg1XBOiRUSm54U99dLY3Zzlqs/oCmaVfZmO3jSMKGyfYdSXdzK3+kIvQZqjRF7faAqIwMSKPtX4fQlEOS365W/J3BhX0pxDk3Ql2jCBYY6evkpo7drY3553cTgynM/8f41J5ifuNS+ZiEqrMGShBEARBuAwz/Dvvt8X8NABsPRjCB/3ifX553/25CxpxUVO95nsThFaclOM0qo9WruNI6XexzHlL7B6A2ezcuROtra1obR3t03jPPfegtbUVDz74oM0jMw8zmt0TxmG1kMz6WkIC1T7MawmIfjavJYBANbuT58QohaqvemRUTm62d/dleuoC2uRRK2bpF0G4GTPsulb7p6SbtZVlTHyY2vuRLSCsxKg8KsV4dZX6r++WWIbiU2fgFnlxC3b6Kim70jqxLi/BVl4qn3oin0oQBEFYidPjETP8O++3xfy0WshfE26ClZ4b1Ucr13Hk9LsY5ryWnex+9NFH0d7ejquuuirr54ODg/jxj39s2uLzFVdcgSJqS06l+RxEbj/A6opSXDO1Ea8f6M37Xa1JeN6YvSmSsDOyCFjr9+GJhTMl+2Ko3flDp+HUUcj6qkdGleSGPxGiVR61YpZ+sYZ6jhJWwtqu67F/SrrZOKY848N2CnqbAcDEer+m8am5n1NsAVEcaJVHMR/x5MKZuFcixvP7vLrk3U2xDMWn9uMmeXELdvoqqbmjGF3Hw2gLNogm39TaMIpzCYIgCBa4IR4xw7/zfvvAyQHJ3+k6HkZHS0B0g2hHSwCpkREc+iRKfplwPCz1XE4fO1oCKPV6EIlJlyK3ch1HWE1JjEKf83pGLFoJLikpQVlZGVatWoV77rkn8/OPP/4Y48ePRyolXzrPLgYGBlBbW4tIJIKamhq7hyOLWc3uCe1IGdTHbpqOlZv3Zy1480lGrT3KToTjkovSRvud8ckFvX0xDvVGcfVP/iD5+Rv3XI7zGqsNjVEJp+tuMeirVhlVkptXl7WjvNRrSV8gM/WLBW6YnOnF6bpbrLC060bsnxrdjMQ49MeSWLFxb1a/MT064nRb4BRIb61BrTzK+Ygqn1cyxtMq726LZZwQnzoNK3XXbfLiJuz2Vblzx/TICK75lzezfkfYP3B7jm/WYsPcHueygvwuQbgT0l37cVM8YpZ/P/jx6Tw/zeP3efHqsg48uGlf1n3bgw1Y3NaMZeu7EONSReWXSW/dhxl6LqaPbcEG3H5GL+ZMqpfVCavWcSrKvPjCv26V/N1Cn/Na2rP7F7/4BZYuXYo9e/bgmWeegc/nDOdRKJjV7J7Qhlw/wAc27sNTt8zCfdcN615I5hlfV4k1i1oNLUpLYbQvBp2GU6YY9FWrjCrJzYS6SsueiZn6ZRTqOUrYAUu7bsT+qdXNFZv2ZS1089fWqiNOtgVE8aFGHtX4CKnJrVZ5d1ssQ/GpvbhNXtyE3b4qd+4YiXF5uhbjUli2vgsrbpiGh790IQYTw7ptGMkJUYz09PQgFJKvoKCHQCCApqYm5tclCKfipnjELP/eOKZcMiaeM6ke9f6yzH0j8SSGkinsONyXWegGyC8TzsYMPef1sfd0Aj2nYgBGKyHweqGkE1at44jF4TzFMOe1dLH7yiuvxJ/+9Cd86UtfwhVXXIGXXnrJytsXPFpK8xVqWTAnfC8lgxodGma2g8boojQP6+fGqhx6IcPrq9/nzZTaTQynUVHmxe6efgwmCqOsiBYZlZKbjpYAHrrxQvQNcpnfswJW+sUaqydnTrCrhP2wtOuRuHyPIKWySkq6GY4lsXjuZCy6pCljU9dtO5KZgPSeTmgar1NtAVGcSMkjb6sTwylsPRiSjC/6BuV9hBZ5d1tZcIpP7cUt8iKMe6rLS+HzliAc51Bd4ewYyEm+SkrX5kyqxxXnnyV7esWJixAUCxN209PTgwsumIp4PMb82pWVfrz33gFa8CaKBqPxCO8TInEO/vJSlHg8KC3xoMEk32CGf1cbE9f6fTjUG8XN/3OH6HW0+GXypYSVKOl5f4yTLTsuJFd2fd4S3C3Y+CFESSd4feaveTg0iJpKjqk+FPuc17LFbo/HAwA477zz8Kc//Qlf/vKXMWfOHPzbv/2bVUMoeNQ2u1dbFswtjigS49A3yGEEwMM5J7nsKKvipESOmndoVpk4u08YOJ2airKscn5rt3RnPmsLNuBvZ59r4+jYosWWCOUmHOeQSKax43AfvrRmGwBgxQ3TMLupDjEu5Wi7ZCZKNmYwkWRmv6mMJCGkyufFihumIRxPotrnhd9Xijp/mSbZOhGOYygp30NojEI8IwYfCwDAQzmxQEewAWtvbcXSX41OSHpOxVBVXkoyTBQMQlv99Fdnw+/zYu2trVi3LTu+6GgJYGHrBNUTeyXUzj3MQK+fo/jUPuyUF7WIxT0dwQD+8drP4O9+/kdMG1djeQzkljl5Lnp1zYq5tJZnSrEw4QRCoRDi8Rgu7XwINeMmM7vuwMmjeGvdIwiFQrTYTRQNRuKRD07FsHzDnqy5Jl/GeNWrB/DI/OmyvsFJPl2tn2ZxsI58KWEmonJXKa/nA0PDeHXfR4r5ZdG5QUsAqxe1ZlU6EKIUq+Ze038mz8Yy113Mc17LFruFrcFramrw6quv4jvf+Q5uuukmq4ZQ8Kgpzae2LJgViscCfpyzJtahq6c/q/8XYE9ZFbMTOWqDIzXBhNll4px0wsBpBKp9WHHDtLy+dQCwvbsPD27aZ3s5IBaBuJ6glr/Hw6+8m2WD+I0ByzfsVX0tp8ByUiNnY/w+L2oqfXm9afQ8JyojSQiR0+VavzoZ52Vq1sQ6tAUb8mwff02pskpKk+eLJ9Vj19FTeeXLR//twTfmTcFPf3cQAEiGiYIh11aXl5bgG/Om4LltR7AtVxcOhvCD3x7ANy6fgtrKMsMxfXVFKdqDDXn3AUb7+lVXyE819fpGowkzik/twQll5OVkTiru2dodwghGsG7xZ/GVZ/5kqf9we3JYj66JxbnCShXJ9AgOfRK1ZCMnxcKE06gZNxljmz5j9zAIwtUoxSOlJR509fTnxQkf9sdw74Y9ovk7AGhtqpf1DU706Wr89Fi/D8/eNierUhRfNQ1QPlj3+IIZWbk9HvKlhBEiMQ6nBjnAAzy4Mf/g4+MLZuCaqY14/UBv3t+2BRsQqPbh2W2HZfPLknODgyGkR0bQ2d6ctbGcR27dJ/eaZua6i3XOa9li93PPPYfa2trMv0tKSrB69Wq0trbizTfftGoYBYdwwl5bWYbHF8zA91/aK1mm4FBvVLEsGADLFM8IQgOxeO5kUQMDWF/uzMxEjpZT+Wom5maUiXPSTkWn09pUl6VTQuzuFcQiEDeSIMqVzc72ZtGNAW4IkFlPauRszIobpmHFxn3Y2m18IqFkH7SWgiacSSTGofd0AuF4ElU+L6rKS1FXmX1aW0mXV908A/dt2Kso47xM7TrWj9WLWgEgS6c7ZMoqqZk8/8PVLZnF7Fy2dofwD59rwdtHT6HreNh2G0sQrMi11V3Hw/jcBWeL6oLf58VXLm3CmjcOMqmENJgYxuK2ZowgW5fbgg1Y3NaMwcSw5N/q9Y1uWXxiEQ8XUkzNV9946MYL8fDL7+a9dytK6inJnFzcs627D38/NJxJalnhP9wi66zJjXOlKmFZsZFTy1y5kPSVIAjCzSjZY7n2eUuuDOK61VszC7m8r6nyeXGsLya6WRsYjYM726RjBLf69BPhOB7IyS+1BRsyp1rnTKpXPFi3/KW9mDWxDr8TWXSkOTmhhxPhOB7ctA/Lrm7Bk//1nmieePlLe/GDm6YjMZzO0vO2YAP++doL8NPf/VUxvywXB/I6n4vSuk8h5bqdimWL3bfddpvoz2+//XbcfvvtmX/PmDEDr776KiZOnGjV0FyL2IT9mqmNWHXzDAwl06JlCtSWH3GD4gkNRGJYviSqlaXDzeqNoCU4UjsxZ10mzok7FZ0I/5xuvVS+VJhdvQtZBeJGNlPkymbrxDrHbGjRghmTGjkbM5vhBgol+0CloN3PiXAc9/5mT97k9e6rWjBprD/TU1NJl4/1xVTJOC9TMS6FZeu70NnejM62ZiSG0ygvLUGT4J5C1E6eh1MjeX8rJJUewe1tzVi2vguAc/rDEoQRcm31um1HMK/lLNHfZR3TR+JJUV3uOh7GsvVd+NWdl4r/HcPNcLl/74R4gEU8XEgxtfC78Cd0//7y81BeVoK6Sp8lJfXUyJxS3BOJJ9E6sQ6ANf7DDbJuBrlxLku7pfWZqp0rF5K+EgRBuBm19ji3xG9VeSl2HutH5/NvZ5Ul5n3NyvnTEY7L+wQ+Ly0WI7jRp2dip5yDFLw/XnHDNFxx/lmKB+v4A2pS0Jyc0IKwWuDpoWHJDShbD4bQ/ckgrpsxDt+/fiqOhAbh847OU/sHOWx57xPRv9OyZpKLmnWfQsl1OxnLFrvVcvToUSSTZOiUkJqwv36gF4nhNNYsasV5jdV5f6emxLZbFE84zvLSEtnftboHnBm9EZSCow/DcYQGOQSq1C9isyy57tadilaTW5FADrt6FyrJGt8XV+n0gpHNFLmy6aQNLVowa1IjZWMOhwZl/07Lc1KyDwCVgnYzkRiXt9Dt93nR2lSPVHoEh0ODiCaG0TimXFGXpSb+uTIulKkYl8qLLd6453LR68jpkdCW+su9suOsKi/F7YIEhhP6wxKEUXJtdYxLoaJMPC5mHdPXVJSJ6jKPlI6x3AyXi5q+gWbCIh4upJg697vw8rJ2SzfmtQQs+y5qZE4p7ikvLcnEo1b4D6Obkt180lgY5yaGpW0M642cuc9UzVy5kPSVIAjCzWi1x8ISv4d6o7KHBga5YcW8M/+5WIyg1v84yXcrnWp9+EsXZjaqK30/uXwezckJLfByuXjuZEQUNqAMJVNYvmEvOloCmCWYBz/91dmyf6d2zaShuhyvf3ceBhPDqtd9CiXX7WQct9hNqENvkkhPiW2nKp7QQHQdD+vq/2kmRnsj5AY5qZER+H3erF2GQo72xbDkl7sxryWA+6+fKnttPphgWXLdjTsV7UD4nJwot4B8oOr3eTECqOoJbWQzRa5sstjQYsfEgXX1BCFiNqamgpP9Gy0TCTn70BZsoFLQLicU5fIWunPLhPp9Xqy4YRouOnOSTQo5/RTKuF6fo2XyLGVT24INSI+MZJWks8vGEgRLpPRKTBdYx/Rm6bTcgnV1ufz0ValvoNknLVnEw4UUUzvlu6iRueZAFTpaAqLj5eOe1ol1lvkPI3G0VfJvZmzNx7ldPf2yv8dyI2fuM1Vj45wi4wRBEMWOmZspY1xKNn/XEQyg63hYMkZQ8j81lWWafbfZ+S2lZyJsV6T0/WorxT+nOTmhFV4u+YpiclSUjR6G2HowhL+//LxMnkvq7/gKVBVlXnT19KO6vBSrbp6BlZv3563FtAUb8LsDH2PBRRNwUVO96vGbkesmspF/ooRj0buAwpcFm9cSyPq5sNQCr3g8TlU84TjXbTuC29ua0RZsyPodq3rA8URiHA71RtHV049Dn0QRickvPElxIhzH0vVduPonf8CCp3fg6h//ASs378fqRa3w+8RPrvHv6c2DIezuCee9Yx5hMKFGHtRi5qJeISF8Tk6R21zkAtXO9mY8vGmf5G5Zoczn2hIhSkFtrmzyEws91wLEderu9V04EY7L/p0RIjEOlWXyJ01Z208jzzwX/h105FyvLdiA29uasW7bEQCk224l12bnlgnlF7837zmB3+49Kal/HS2jE3sphDKu1+coTZ7rzkye/9/7vVh6ZTBvrG3BBiy9sgX/7/1eVfcjCDchpldSuiCVaOLR6pPM0mnhgnWu7955rD/PLwnvq9Q3MDdW0YtUzM8iHi6kmNop30WNzNX6fVi1YAbaRXzI7W3N2H8igt7TCcv8h96Yzgr5B9TF1izmxiwrkWl9pmpsnFNknCAIothhWVkwl9rKMrx/ckA0f9cebMD3rv0M3j85IBkjKPmfqvJSTb5bzgezyktr8b9y368t2IAxFaWOy3sS7oSXS751lmSeKhjAyMinbe7Ky0pk88t8/qurpx9f+NetWPD0DlzzL2/i1b0n8extc7LWYoQ5Ua1xHutcN5EPnex2KVqcjthuL7kS27l9svScPrXiBGXuOPmegd++ImhpDzgeVjvopRIUWw+GMDIygs725rxSbvxpA56Vm/fj1WUdeHDTPsW+4axKrgtlkt8N1TqxDonhNCrKvKinAAZAfhnf3F6XUwJVGFdbYWnAl3dqqqIU10xtxOsHevN+d+6UBtWlBI32rxfK5mAiib+dfa4qmRb7flaXF+R7Ic9qqrP09L7RZ57L+LpKPDZ/Oro/ieb1YqVS0O6E1/fh9AjWLf4sdvf0Y922I3nljYWL3109Yaxe1AoAWbI8ryWAxxfMwCOvvCt6LzEZz9Xr2kofuFQaHw0MIZZMicYLSierJjX4Ma8lgJ//4TBmTqjD9TPGZfUP7j2dwPjaClx5/lm4YcZ4RR/npPJxROFgplzlxnI1lWUo95bghpnjs3TBWzI68c/tvQeM6lJ1RSkO9UY1jVFPHKnmtKSU7165eT/WLf4sPICkn5PrG8jipKVczM9iQ0FNRZloLM3bazf5XZYLlYB+PVJbheDcsX48uXAmjvXFEI4nM3HP//lzDx684ULU+8ss8wdaYzr+2SSGU6afNFYTWw9yKSZzY5aVyGr9Pjy+YAaWv7Q3b1xScbKSjWMt4wRBEIQ+pOxx7mlNsfhBydc0jinHI/On46FN+9DaVJ+Jr+sqyzChvhLp9Ah+dMssSf+q5H+iQ8OqfbecD773xT344oxxWSXZ9VZ2kXsmHS0BpEZGcOiTaOZZPrFwZt64+EXBzuffxlcuacKK66dhKJli0uqTKE54uew6HsZ7J0Y3oADZeSp+A0r/4KcbParLS/HA9VORGgGiiWF8aeY47O4JY+Xm/QCANYta8bzg8AfP1oMhYGQE/+cbf4MP+uN5OVE9cR6rXDchDi12uxS1kz65ZIxYT28eI4pnZdlAM3pj64HlYppc6Z1t3X1YckUwa0GCDx6Wre/K/CzGpTAQ51Q/G6Ml14FPZXLnsf68UriANaUj3UCu7gp7XVrZu5BHSl8fu2k6AGQteM9rCShWesjd1WZUR3NlU8+1rC4vKOyFvKunH2tvbUUJPFmLC23BBiy5MogYl0Ktn9mtAbC3i3X+Mryw4yiTJCNhL2L63hZswOpFreBS2eWNhYvfShtzHpk/HYlh9RsseL1WGy8oJfzH5cQsUwJV4FLpTO+kOZPqz4yjStczIv9FGMUKuRKL5b44/RyEohwi8ST8Pi9KvR6svGm6aEz/2E3Tcf9Le/G7HL+vZoxa40g1i3hSC9YxLoXO59/Gfy7rwHB6RNTPmXnSUinmf+qWWYYX5gLVPqxb/Fms2XIwL+Zft/izrvK7LBcqjeiRloXjCfV+VJeXZuKoBRdNQKC92ZZkk9qYTvhs1PYhNIJSbN17OoFHN+9nMjdmuZHzRDiOh195F7Mm1mHx3MmZhYpJDf5M31GpMUjdh6WMEwRBEPoRs8dirbqA/PhBja+p9QM/umWWrjyLkv/R0rJDzgfzvYyF6D3kIfVM2oMNuG3uZNz0s+2IcamsZ/mjW2bhUG80a8Mgvyi453gYd9kUTxGFAy+XD23ah3/6wmfw5H+9l7UBpbayDGMqStH5/Nt4dP5oXvvqC85CPJnGU6+9l3d449VlHUiPjOCjyBC2ihxSAoCt3X1YfDqBJb/cnfVzI3Eei1w3IQ4tdrsUNY7Y6AKsHsWz4wQli4Vao7BcTFNK0FWUefHGPZejPzaavMw9ZclTVV5m6bPhZfIPf/0kqxQuj5ky4CZYn7w1gpy+PrBxH566ZRbuu244S+dDUe09oVnKoZ5rWV1esPd0IrOwHeNS2PthBNfNOAeL2yZnnY7ufP5tzJlU73i76CSZJfQjpe+8rf7u587P+nlub1/hxhwA2Lhkbubd69lgoTVeULoHC5m3I4YhCh875UpKL3J1qbqiNG+h2+wxKum0nO+OcSn0xzjJ/mhmnrRUivmjQ8NMfObPtnTnxdLbu/tQ4vFg7ZlKG26AVQzBQo+0+ConzC95lMaS+2ysaEGmFFtH4kmmG01ZbOQUPqdcW2dkwzHFyQRBEM5AzB7nturiEYsf1PgaPfGBGv+jJXZV8sG583hA/yEP4TOJxJMYSqaw43BfVg5a+CzPrqlAKj1CPpEwFX5jxUcDQ5g2vjZTCau8tAR/PNyHdduOIMalUF5ago5gAP/wufPx5H+9J2oHHty0D9fNGKdYnSsX1jLtpLmH23HEYncsFoPfP3q07ec//znOPvtsm0fkDpQcMevTjGoUz+oTlE6B5WKaml4x5zVWIxLjcPf6LkftIh9fV4k5k+qzSuYIKWQZ0IJTKhKoSdiKVYBw2+kFq8sLhuPZ+j59fC3ueGGn6O+6RSecIrOEfuT0fXt3Hx6+sSyrvLHWZLnW4FxPvGD2BKBYYxjCXJwoV7m6dKg3mpd84zFzjHI6bcR3m3nSUk3Mf15jtSGfGYpyoqXmgdETO26zRSxiCFZ6VIiJpNxno6cFmVaU9FPY11AMPRtNjb47M20xxcmE2zlw4IAp1w0EAmhqajLl2gQhRq49rijzqm7DB5gTJ6jxP1piVyUfLDWP13vIg38mh3qjuPl/7hD9HeGzJJ9IWAEvT385HhbV8Y5gA84aU457Pn8+QlFONC4GRmX3tpxqCGI0jfXjjXsuJ5l2AZYtdl9xxRX43//7f+Pcc8/N+vlbb72Fr3/96/jrX/8KALj11lutGlJBIOeIrT7NaNc9nQDLxTS1QY5Td5FHE8OynxeqDGjFCck2PfrqVLmTw+ryglU5CT6xnbVC3KITTpBZQj9K+n74k0Hc1jYZaYyM9uk2OVnuxHjBiWMi3I8b5MqJYzTiu82MVdTG/EZ8phPfh1GMxhCF+ExYkfts1m07gtVnTv/nlmpkFasr6WeVTz7NZEcfa7NliOJkwo3EI30APPja175myvUrK/14770DtOBNWIrQHmspD24WajdKqo1d5XxwW7ABXcfDovcx6nu1+FHyiYQV1Pp9WDl/Ou7fuDcr5m0LNuC2tmZ85Zk/Yc2iVsWcbGI4jf0nB2TzX41jykmmXYJli901NTWYOXMmnn76aXzlK19BOp3Go48+ilWrVuHuu++2ahhFhdWnGVncMxLjEIpyGBhKoqayDIEqdzhIFotp/HePJpJ4dL54P8XcIMeJO+bskDtCH3rflZzcOVGH1SS9WY67yleaFSRZUU6SIJRQ0vfSEg/uFvTl9no8WDh7Ah7a9K6qxSIpHZL6uRN9hRPHRLgfN8iV1jGK6TUApv7f6IK1WTGyFRvo3CAzVkPPZBRRn1pZBr/Pi8725kwZx7KSEnS2NeOO9imoqShFvd/HdI6opJ9+n9dxlaBIhggin2TsNIARXHTrvTir+QKm1x44eRRvrXsEoVCIFrsJ27DD9ov56ucXfxaxZAoVZV7s7unPlFkWjkFt7Crng5dcGUTn82/njYmF7yU/SjiRen8Zbpg5PtOzW9gr/uJJ9eg6HkbrxDrZa5SXlkhuFu1w8MEuM3BiTl8rli12v/zyy/i3f/s33HnnnXj55Zdx9OhR9PT04Le//S0+97nPWTUMV8BKsKw+zWj0nifC8bxebPNaAnhi4UyMr6tkPlY5tL4DLQk5sWvHuBT+WfDd/T4vVtwwDfdfPxVxLuWannKAPXLnVJzuJKorSvGrOy9FOJ7MC7rVnJrK/S5CHeaTbnOnNMBXWoL6Kp+t319u4sDa9tT5y3D3VS0AYMkJWYKQQmiDqstLsermGVi5eX9mYs3TfmYHON+Xm/dd41ROuKV06LGbpuPRzfvxuwO9eTbhrDHljvMVdvkvp/sKYhS978kNcZHcGDtaAij1ehCJcaI+0+/zYt3iz+JnW7qzSm+ziOGNLlibESOLxfx83D67qQ6HQ4OoqeQM6bEbZEYKs+yZG58J62ch5WsfXzADv+j8LP76cTTz89TICD4eGEKwsRotjdWm+BQl/XRaJSg3yhBBWEV1YxPGNn3G7mEQhCJafasR26/Hj4vlxC6b0oCKMi9GAOzq6cf+ExGsXtSKZeu7MGdSfdYY1MauUj44xqUwZ1K9Kb6X/CjhRGr9Plx+/lm478U92HmsP7P5c82iVpxb78eeD8LY+2FENifbezqBGJfCMsHhj8RwGrWVZZjU4Mc4E9ekrMwFKd3LSetyRvCMjIyMWHnD5cuX48knn0RpaSl+//vfY+7cuVbeXjMDAwOora1FJBJBTU2N6fdjLVgnwnHJSaZZyqrnnpEYh1f3fYTGMeVIDKezFt7mTKrHmkWtlk2KjbwD3nBIJeSkrs3vvstdgJjXErD0u7NCTAY6WgJ4+MYL4QHQYEEi32rdzcXpTkJsfG3BBtze1oxf/7kHj86fjnF1laodbyTGYen6rkxQv3pRK57bfiSvfKJTvj+PcNy56NW/SIxDOJbEjsN9aBxTjuH0CJobqrBy87vYKlJO0szAyY3YrbuFgpiOd7QE8O0cf9NxZlE6mUojOjSseTFJTofagw24qKk+s0tWaBMyC2T/rzvPTtqpFyfDcfz+r59kxSMfDwzhyvPPwjkmjMnpvkItha63Wt6T1KbGey2Ox7UiFrvxcQGfjHt8wQw8/Mq7Wf29l14VRFdPv2TywElxLMtkAn+twUQSNZU+rNi4j+liv1VzOJa6a7Y9s3Jea1RWWD8LOV97zdRGfPea8/GDVw/klXC8+6oWTD1njG06qDQ3tnIM0UQStZU+yeppTrHFail0v0tks3v3blx88cW45v7nmC5KH33rNby17hG0f+dnmDC1ldl1AeBUz/t4/Qe3Y9euXZg9ezbTa7sZ0l396PWtUvHDo/OnIxLnUF3BZtFHTU6Mj61/9dYxXDPtHFxx/lmmxTB6fa9cDGTHGoMTIL11PpEYh/5YEis27s3Ku3a0BHD3VUFEE8N4dlt+jvrJhTORTo/g3g17sE1EV3/95x786JZZzOLX3Lg0dw7Z0RLAqgUzcO5YP5P78SjZNDNy43Zh2WJ3f38/7rzzTrzxxht46qmn8Ic//AEbN27ED3/4QyxZssSKIejCSoNmlmDZMcnUes+joUHRHgt8gu2Vpe04r7Ha1DHz4zZLueWu3RZsQGtTPdZu6c777I17Lrfku7OGl4FwnEMimcaOw31Zp4bNTuTbGYw43UnIja+jJYAf3TILZ9dUaArwD/VGcfVP/gDAXYlv4bjF0Kp//DPbJdhRCAATx1aittKH6NCwY1oOOBWaSBhHyQY9cuOFOBwaBAB0HQ9nNpbpsctKOvTsbXPQdTwsahP405BzJtVjMKF9od0MToTjuPc3e5ifUBXD6b5CC4Wst1rek5zfrPJ5bV/0USIS49B7OoGeUzEAn9oH4eaYWRPrsuLVZ2+bgzte2Cl5TafEsWYtxJo9dzBbZljprlX2zIpnYlRWzHgWcr526VVB/KWnPyuxx9MWbMDjN83ApECVpvsVCmKVKPgqDErV05xOIftdIh9a7C4cSHf1YdS3CuOHSp8Xu3vCWRXPWCz6qM2J8fnf+bPGo+XsMaqfgRWoiYGcsJHNakhvnY+S3j42fzoSqTRS6RHEuBRqKz+V3cOfRLGh68NMOyC+FDo/D2Y1nxXql5yNaA824MmFMzGhns2CtxqbFopyTHPjdmJZGfPp06ejubkZXV1daG5uxl133YVf//rXWLJkCX7729/it7/9rVVDcSyhKCcqeADw5sEQQlFOlwOxo8y1lntGYhxW5Cx0A5/2SOhsb8bpoSTzMYph1jtQuvb27j50tjWLfmbVd2cN/5wefuXdvO/95sEQ7ntxj6sS+VowU45YIDe+rQdDiA4No6KUywtyAel3NyCQ09acRHju39v9/YUMKOiXFv2LxLKfmfAZ8AHE2S4JDgh3o2SDTkaG8han9NplJR1KDKclbUKMS2H5hr14457LcVFTvep7mkVGh7ut8VlO9xXEKGrfU64PEP4OLz9OnyDW+n0IRTnJxeutB0NYPHdy1s8Sw2nZazohjlXzbsyI743qsdNaFclhlT0z+5mwkBUznoWcr5WLu7d392GQG9Z0r0JB7F3ycYfbNpQR7qGnpwehkLj+G+HAgQPMr0kQbsKob+XjB6lFH6Gf13svtTkxPv87mHCWf1YbA7kpPiWKByW9TaZHJDeXROJJSX0F2Mxnc/VLzkZs6+7Dsb4YqstLmeiaGpvGMjduN5Ytdn/rW9/C/fffj5KSkszP/u7v/g5tbW24/fbbrRqGoykkwdJCKMqJ7kQHPg0CxlSUWTIWM9+BmgUBMfR8d6f0/yzWRL7TdVlpfH2DHJLptKZ3VyOQUzckvnlqFPRLi/4Vq7wTzkNJx8Nx8c9z5VSNL1HSofLSEtfYBKt12Om+ghhF7XsqFB+gNV4tLy2R+M1RqspLcag3amtMaua7IT0epVCeAwtZMeNZyPlaJR+b2yarWCgUm0y4h56eHlxwwVTE4zHT7pFMcKZdmyCcDCvfauaij5acWGI4bVmeWy3kNwk3Y8RGsMwLS5GrX0o2IhxPKuqc2rUfNc/GimdgFZYtdq9YsSLz/0NDQ6ioqAAAnHvuuXj99detGoajKSTB0oKS0gFAoNoah2rmO1CzIJDLvJaA5u/upP6fhZL40orTdVlpfKeHkghFE4q/IyRQ7cO8lgDePBhSTHzb/f2FCMedi1b9K1Z5J5yHHn/Dw8upWl8ip0PtwQZ0HQ9nyvlL4RSbYLUOO91XEKOofU+F4gOUvm9dZfbnXcfDaAs2iJZg62gJYOexfizfsDfzMztiUjPfDenxKIXyHFjIihnPQs7X5upk/v0sS/k4ikKxyYR7CIVCiMdjuLTzIdSMm8z02if3/hH7Xn4Gw8POOglKEFbByreaueijJSdWd6aEspMgv0m4GSM2gmVeWIpc/VKyEeWlJbI6p2XtR82zseIZWIX8k2VIOp3GypUrMWHCBFRXV+Pw4cMARhfBn332WauG4Wh4wRLDbYKlBSWlO7e+0rLdY3reQSTG4VBvFF09/Tj0SRSRmPhuW7lrd7QE0Hs6e3FxXksATy6cqem7K5WdkRqbWRRK4ksrTtdlufG1nVmc0rpgXev34YmFMzGvJZBJfIvhhO8vRDhuIddMbcSqm2cgFOUUdZunWOWdcB5K/qbreFjyb8dUlGnyJVI6NK8lgMcXzMD7JwdssQlqfbMQq3XY6b6CGEXte1IrP3pk00qUvu+kBn/W5+u2HcHdV7WgQ8QGfPvKIFZu3p/1cztiUjN1m/R4lEJ5DixkxYxnIedrJzX48/SPpyMYwJ4PIsz0zen2SwjF5YRd1IybjLFNn2H6X1VgnN1fiyBshZVv1bLoo/VeanNi7cEGTGrw5+V67fax5DcJHrtlUQ9GbIRcnK11XUaKXP2SsxF8Xl5K57Su/ah5NlY8A6uwbJvvY489hhdeeAE//OEPcdddd2V+PmPGDPzLv/wL7rjjDquGYjtSZQZ4wbrvxT1ZOyncKFhaUNo9ck5NhWVj0foOtOykUbq23+fFJZPH4vRQMhNgaX3nTis7U0g7g7Rghi6zLE0vNb62YANub2vGsvVd6GxvljypJfXuxtdVYs2iVvQNcljQOgEPv/xunm440Zbx4w5FudGdvJVl8HlLcN+GvZoqJBSrvBPOQ84GPb5gBh555V3Rv+PlVKsvydUhoQ/70S2zLLcJJ8Nx/P6vn6BxTDkSw2n0x5L485FTuOL8szBO5jSp1TpcrHGf21D7nuTk55qpjaiuKMX7Hw3gg/44PB4Pdvf0Y922I5gzqd6W6jtSKH3fcRL6vjbnZ6UlHly3eqtoCWWrY1IzdZv0eBStz8EpLZdyYSErZsmEnK9dOX86Vmzcm9UarCPYgNvbJ2Ppr7owu6ne8PN1UvUwNVBcThAEUTjU+n1YdfMMHOuLIRxPoqLMi909/Xj/5AAenT9dtY9T4xuM+PHxdZVYOX86joQG8aWZ4/DY5gPY2v3pNTqCATy2YDom1Puz/s4JPpb8JgE4QxYB7XMFo/G3XJzNglz9WrftCFYvagWArLw7n5f/9Z97EGhvFr2W1nyd2mdj9jOwCs/IyMiIFTcKBoP4+c9/jquvvhpjxozBX/7yF0yZMgXvvfceLrvsMvT391sxDM0MDAygtrYWkUgENTU1hq+nxmjwCu1mwdLKiXBcNqlmNZEYh97TCUTiSfh9XlSVl6KusizrPURiHJau7xI1MPNaAlizqFX0val5v3oTQF09/Vjw9A7JzzcumYuLmuoVr8MSu94ta93VAytdNivY4MfXNzg6xq7jYazbdgQxLgW/z4vVi1rx3PYjWY5Xy7tzqy3Tq9uAOnl3aoLXKThBdwsFKR1UklO9vkRJtoXjqSovhc9bgnCcQ3UFOz2IxDgc+Og01mw5mDdpuPuqFkw9Z4zsfezwWW61lUKKQW/VvCcx+blmaiNW3DAN97+0LyvZJdxgNmdSvaxvYTl+tb5HTSwsh9NiUrN12616zFp31eqJE5JoUrCSFStl4i/H+/H6gV60TqxDYjiN8tKSrLjeqL4ZiY355xCJc/CXl6LE40FpiQcNFsS/TssxsKQY/K7b2L17Ny6++GJcc/9zGNv0GabXPvrWa3hr3SNo/87PMGFqq+OvCwCnet7H6z+4Hbt27cLs2bOZXtvNkO7qQyx26GgJYNWCGTh3rF/mL8WvpcY36PXjfAzs93nR2d6c55s/P7URMyd+6pPV+lgr/Gkh+00jFIveGon3WKJ1rsDrRjSRRJ3fB244jcHEsOPmZLn65fd5seKGaZg5oRY9/TH4vKM2gt/EI6VzRvN1SjbN7Tlry052f/jhhwgGg3k/T6fTSCaLo++DUpkB3mjw/xUTTts9Msil8Ojm/bKGVe8paqX3ayQB5MSyM057t1bCQpfV2g1D4+uN4ss//2PWZzEulTnhveL6aRhKpjS/O7faMiXd/mhgSPJ7Kcm70xO8RGEhpYNKcqrHl6iRbX48ZupBOJbMW+gGPt0t+/hNMxR341vts9xqK4sNNe9JTH6qK0rxvf/4S9ZCN/CpTHa2N2Ptlm5TTzrr0Tk1sbAcTotJzdZt0uNRlJ6DmXEtK1jJipUyUV1ehrVbuiU/N6pveue9YraH3+iz6tUDeGT+dFPj32KehxIEQRQKUrHD1oMhfP+lvZpjB7W+Qa8f52PgGJcS9c0LLpqQ9W81PnaQS1niT8lvFjdOqBarda7gphyrlH4BQEWZF6eHklhw0QQE2ptln7PeebYam+am5ymFZYvdF154IbZu3YpJkyZl/fw//uM/0NrKdgehU3GC0XAyViYE5HapqDWsA0PymzROK3wuNS4jCSCnlp2hBKB+rLAbUnIT41LYczyMuxQcrRGcuGNMSbc/6I/jnJoKyXFKybsbEryEc2GtK3J2Wasv0SLbZuvBIDcs2n4BGF1cHOSGFa9BPoswQq78HOqNSvrx7d196GwbLU+mJ25Ugx6dY6GnToxJzdRtJ8YzTsQt82Gn+gEpOTNb3/TMe6XsCO+jW5vqLYl/nfouCYIgCHWYETvo8Q1qYz2tPlnJx0biSTz8yruW+VPym8WLGescWtGi75EYhwc37cOsiXVYPHcyEsPpTIuDhzbtw49umeU4WZbSLy3jNCvuL5SctWWL3Q899BC+/vWv48MPP0Q6ncaGDRvw/vvv4xe/+AU2b95s1TBsxQlGg1DepaLWsJpxYsVoEFfrt65vICX1rMEKu2Gl3Ahx6o4xJd0GoGtCZXWCl3S0cJAq2/bwjRfCAzAvBarVJmiRbbP1YFCkP7AQsf7BBGEmSn48MZwGYN5JZz06x0JP7YottMLCVzo1nnEiNB/Wj5Kcmalveua9cnaE3+hjdlULo1AsTRAEYT9OiB20xHpaY2AlH+v3eS31p+T7ihe7K3NFYhxOxTjZ3xHqe98gh69c0oTnth/JqqLAVz3oG3RujGkEs+bZbtmUrIRli91f+tKX8Otf/xqPP/44PB4PHnzwQcyePRuvvPIKrrnmGquGYSt2Gw23wtLRqtmlojaQMmMnDYsgTm/ZGS3PmZJ61mGV3bC6XJHek2ZqZNSozQhU+9DREhB18m3BBnQdD6Ohyh79VgvpaOEgV7btwU370NpUjz3Hw0zeba7uPHXLLAwmhjEQl7cJWmRbrx6o1eu6SnmbWKvwOUGwRsmPl5eWGN6BLacbenSOlb+qOtOHLBxPotrnhd9Xijq/+r7fZsPCVxbKDniroPmwdiIxDr2nE+g5FcPtbc2YNbEu04tbKGdmxvJS816+12B6ZARdPf1ZNkjtRh+nbnCgWJogCMIZ2BU7CHtkJ4bTmDWxDruO9Wc2T8vFelp8cnVFKX5156UIx5OZU6m8n5/XEkBJiUd2nCz9Kfm+4sbOylwnw3H8/q+fYPoE+Z7oFT4vIrHRRdfh9Aie235EsoXdw1+60LTx2o0Zcb8TNhaxwLLFbgC49tprce2111p5S0fhxHJ+VqJnAYq1o1WzS0VtIGXGThpWQZzWsjNanjMl9azFSrthZbkirTvG1Mqo0u+psUO1fh9Wzp+O+zfuzQqa+N2By9Z35fVZUoNVkzTS0cJC7ckoo+9WTnemnFUt+7daZNusfuA8jWPKJTerdLQE0DimXPb+BMECoa8ZWyXtx9uCDeg9ndAdN6rRDT06x8JfyY2t1q/456bDylcWyg54qyj2+bAYcrGpVM/r1YtasWx9V2bBm5czs2J5sXmv3+fFusWfxc+2dGP5hr2Z383oucLmsvLSEgDO3OBAsTRBEIRzsCp24P1xNJFEbaUPKzbuw9Zuaf8LyMd6evvj8vf59Z978Oj86Ygn5SuTsfKn5PsIuypzRWIcjp2KYfOeE/gwHEdbsEG0NV1bsAGb95zMHPYYGRmRbWGXSo/oGotbKhuwjvsLZVOypYvdxY5byvmZgZ5FazMcrZpdKs2BKtWBFOudNHYkgLQ+Z0rqWUuh2g0tO8bUyqjS7626eQbu27BXlR2q95fhhpnj0dnWjMRwGuWlJeg6Hsay9V2YM6lely5apd+ko4WF2pNRRt6tUX+rRbbN7AcOjNrMH9w0Hfe/tBdbBROfjmADfnDTdJJ9wnRyY15+QWgEyGtFsHL+dNTrPOmsVjf0+B6j/soNyTJWvrJQdsBbRaHGtXqRmyNX+byyPa8725szJRutkLPceW+934cHchYCgE/1/KlbZslu9Ok6HnbsBgeKpQmCIJyDFbGD0B8vvSqIrp5+ydOiQv8L6PfBUvHy9u4+lHg8+NEts3B2TQUiMc4Sf0q+jwCsr/oJAOFYEmu2HMT27j509YSxelErAEgePopxKdz34h48cP1U2etqbWFX7JUNCmVTsqmL3fX19fB45Mtt8Jw6dcrMoZiKll0fdhgNu9Gb8DLD0arZpaI1kGK5k8aOBJDW51wsST0n7eYqRLuhZceYWhlV+r1jfTFNC2aXn38WU120Sr+LRUeLBTUlkHn0vluj/laLbBvtB+73edHZ3ozWiXVIDKdxcmAoc11g1HY/unk/ZjXVY3HOZpWVm/fjR7fMcrXtJJyNWMwb41LofP5trLhhGh68YRoGE8MZPw6Myvjh0KDmWEOt3urxPUb9lRuSZax8ZaHsgFeCZVxciHGtHpTmyCtumKZY2YXHKjkTznsP9UbzFrp53jwYQnRoWNSO8MnKX/+5x7EbHCiWJgiCMAe98YSZsUOuP26dWJe1mC0k1/8C+n2wXLy89YwfPbtGOi5n7U/J9xE8Vlb9BIBBbjizsB3jUli2vgud7c2Zw0cTx1bitXc/zquqoHRwW0sLOzds1raC+6+fitv64/B4PJmWCnMm1Ts2ZhfD1MXun/70p5n/7+vrw2OPPYZrr70Wl112GQDgj3/8I1577TWsWLHCzGGYip5dH1YbDbvRm/BScrT9MS7Tp0Etanep2JmEsfreWgOaYkjqWb2bS21p7UKyG1p2jKmVUaXfC8fFP5eyQ2boohX6XQw6WgwIe4Stv+tSbD/Ul+ndxcPv5ObR+25ZTGy1yLaW3xWOze/zYvWiVjy3/UhWAkJon0NRDr870IvfHegVHacTFtmIwkUq5o1xKSzfsBdv3HM5LmqqB2A81tCit3p8jxF/5YZkGStfqdRn0S074OUwIy62M651yoZWpTmyVNzKw1d2sUvO1Oj5eY3VGTsSiSfh93nhLfHAW+Jx9OYziqUJgiDYYzSeEIsdWPj0XH/M+1cphJ8b8cF6Y3mz/Cn5PsIuBnNOYMe4VFa+5+mvzhbdgMLPt/ScRM61HaUeD3Yd6xf9Xads1jYTMfvc0RLAq8s6dFeiswtTF7tvu+22zP8vXLgQjz76KJYuXZr52bJly7B27Vr87ne/w3e/+10zh2IKVu36cMqEXC96E15KjjYST+Lu9V2aEi1aT5/Z8ZyV3jdredAa0BRKWQsprN7NZdbCutPthhZdVCujWk7A5iJlh/TYAaVnb4ZtEd6zurwUq26egZWb9+eV7SkEHS0GxOxCe06PMGEZJ0D63aqxBawmtlpkW+3vCsfW2d6M57YfySspJ7TPdiyyOd3eFit2vBe18sci1tCqt3p8j15/ZcSmWPHeIjEO6ZERPHvbnKxd67zPVOsr1fRZdLstsDIutuLdO6k8oZK9qPJ5ZT8vLy2xtfy7Wj1XY0fMePdGrlno812CIAir0dKaTq3tZuXTc/2xXN5I+LlRH6w3ls99RnJoeZ7k+wi7qFOQYymdHFNRqiqvLNSD2soy+LwlWP7Spy0u/T4vVtwwDb/+5t/gg/44yku9efNDJ2zWNgsp+7z1YAgPbtqHNWfKyrsFy3p2v/baa3jyySfzfn7ttdfivvvus2oYTLGiRJ+TJuR60ZvwknO0/Gk2PYkWJ5fOU3rfZsiD1oCm1u/Dqptn4FhfLOsUy/snBwoiqWdl6U2zEohOtxvCQGPFDdPg85YgEudQVS6ui2plVO73OloCWSdgc2G1S9WOZy+1A2/d4s+i8/m3s5L3bio9U6xI2YVt3X3wwIP/842/gdfjwesHPi3jJPZuIzEOHw0M4QOREkS58ujkia1wbHIl5Xj7bPWOdKfb22LFrveiVv5YxBpu0dtc5MYm9d6eXDgTfp+XyWKY3AL1svVdqsu0qe2z6Hasiout0FmnlSdUshdVvlLZuDZ4VrWtJRWrK0rR0RIQlQ8tNsiMd8/i9CD1licIgmCHUjzRN8hhkEuptt0sfXquP+46HkZbsCFvgzUw6n+bxvrxxj2Xa8ojiy0664mXtfg3rb6QfB9hF41jyiVjyvacaoY8bcEG7DzWjyvOP0t2jSdXD5ZeFURXT39Gv4XVA5dv2Jt1feFhEzMqGzjl0IQbWpBpwbLF7oaGBrz00kv4p3/6p6yfb9y4EQ0NDVYNgylmnx4ye0JulVLpTXgp9SXhT7PpUTwnloRWet9P3TLLFHnQGtCcCMdx34a9eQtrqxbMwLgCSOxbeSrQDIfitEReLnpbP0jJ6KPzp+No3yCqBzkEqqR/7/EFM/DIK++KXp/VooAdz15uB54HwH8u60B/jHPUph5CHtneXd0hLD49GS/sOIqV86fjivPPEn23J8Jx3PubPVm9NIXBeq48OnliKxybUkm500NJNAeqmC4AysVKTre3xYqaeCo6NGxK/Ks25mURa7hFb9WOTeq97TzWj2OnYvjZlu4sm6ZnMUxpgfo/l3WgTmWZNrV9Ft2OFXGxVbaUddxtdC6tZC/q/GWyemTnvOtEOI4HN+3DbXMnIz0ykrUgoMUGmfHuWV3TyRvkCYIg3IZSPJFKj2iy3Uo+vfd0QveJ5nXbjmD1mZOMYv5Nq/+V28ypJV7W4t/0+kLyfYQejMbEtX4fnpTQhcdumo6Vm/dn/b5wXeg/J9VjzaJWnNdYLTquXD3IPUAhVT2Q/3dnezP2HA8z30jupEMTbmhBpgXLFrsfeeQR3HHHHfj973+f6dn9pz/9Cf/1X/+Ff//3f7dqGEwx+/SQmTsrrFQqI8k43tF+GI7jaF8M5aUl6Doezuys4VFSPCfsllEag9L77h80Tx7UBjRyC2vff2lvQST2rTwVaIZDcfKOLCPJp1wZrfR5sbsnjC+u3pqxBddMbcQjN16IlfOnY5AbRoxLobayDI1jylHr9+GR+dORGDZvUUDp2X8YjiN0ZlGe1TtQuudweiTTH5ZwB0p2ITGcln23GT3rzl/MAUaD9bVbuvNsgZ6JrVVtN/ixnYwMyf7emIoypguASrGSk+1tMaP0Xg71RnHrv7+V+RnL+Fet/LGKNbTordLGDdZxslabIvXeOtubsWbLQdn2BWrHqrRAPZweUX2tQksKSGFFXGyVLWX5zljMpdXYi1o/mOg4S4Tx/I5Dfehsb0ZnWzMSw2nUVZbhvMZqxaoG/FgTwynm756lPDlxgzxBEIQbUYonUukRTbZbyaf3nIrhjhd2Zv6t5URzjEvhvhf3YO2ts/HA9dNwemgYNZWlqPf7NFftkcuB3XsmjpXy87l+Pa3hGRnxheT7CC2wWl/i5469pxOZvvRV5aWorSzDA9dPw1cuaUJiOJ23LiQnz2J6kHuAQq564PbuPnz7iiC+ekkTU50wo62DEayujmg2li12L168GFOnTsXq1auxYcMGjIyMYNq0adi+fTsuvfRSU+/99NNP46mnnsLJkydx4YUX4qc//Sk6OjoMX9fs8oFmJVHsOIlkZHdYrd+HUJTDkl/ulvydqnJpUXbCbhl+9/sF42rQOrEOJyND6PWXoWmsHxPq/QCU3/fA0LDs50aTamoCmmJI7FtZFtQMh+Lk5KtR+RH2KFq6vivrWn6fF393SRP+6cU9ebtvn1g4E7V+ZTtkNJBQevZH+2JY8svdTEuyOvl9E/pQ23te6t3K6dn27j50tjVL/r2WiS3vW3cd60dnezNaJ9bhaGgQE+v9OLumXFMZOjXw41Kyz5EYh6FkCg/cMA3pkRHEEqObXrTuSFcTK5H+OROl9xKOZ3/OumJSNJHEypumgxtOYzAxLBrzsow11OitVCz86PzpODWYQGI4je2H+jJ9yVjFyVpsitR7U9O+wI4F6kJLCkhhRVxslS1l9c5YzqXVzJGN6Dir+a4wRq70eTP3iXGpPP18457LZasaCMf69Fdny95Xz7sn30wQBOE8lOKJGKct36nk03PRcqJ5MJFETaUPKzbu01VVKBLj0Hs6gXA8ieryUsUc2HmN1aIVNXP9+rO3zZG9r/AZkS8krID1+tIgl8Kjm/fnxbPLrm7J2rySi5g8R2IcTsW4vJ/n9v9Wqh5YUebVVM1BTV6ZdVsHozi5PZoeLFvsBoBLL70Uv/zlL628JX7961/jO9/5Dp5++mm0tbXh5z//Oa677jrs378fTU1Nhq6tt0Sf2sUNs5IoSkp1MjKEw6FB5rtG8nbhefJ/LoVS/+6dx/pRVV5qah8XvURiHB7ctA9fuaQJz20/kpUQaA824ImbZ+LcsX7F911TIa+uViTViiFgsrIsqBkOxa7kqzDJX+f3gRtOI5oYzrIjrORHzIZJlZ7J1XWphCGLJKHaRUqWJVmLJdleTCj5O75fkdS7VXMyXO7v1cD71l3H+jP9jYS+bdXNM/DqnpN5p8uVfK9SjKRkn2NcCv8socdmnAzTqn9OqDLjZPQ8H7G/UWuLhVhdMUlNrMFKXuRi4fs37kVrUz3WbunOanVgRyl+qfempn2B0XvwaLGLhZYUkMKKuNgqW6r1nQnvU1tZhqryUkSHhpmfRjZ6gsrs+W6ufTOyQJ07VjF7LERPrEKxMUEQhPNQiieiCfnF7lzbXV1RKtnjt02ix6/aE82ZwxUa57JAfjsxPT5Tyq8rIXxG5AsJK2B5IE4unv3W5efJ/m2uPPOx6+K5k/N+t+t4GG3BhkzuWCkWra1UrytqcwJKObtkKo2HNu3DVpH89r0v7sGKG6bBW+Jhlk+ych1EiFn5MUsXu9PpNLq7u9Hb24t0OjtxMW/ePFPu+ZOf/AR33HEH7rzzTgDAT3/6U7z22mv4n//zf2LVqlWGr6/lxLLWRJhZSRQlpTocGsycolaz+KJWOI0sJkkpnlifBi2lwa04iRyKcrhgXI3oQty27j4sf2kv1i5qVXzf9VXWJ9Vy3221zAl6oHACJqv61JjhUKxMvvLy0R/jkEyl8eejpzBjQi1++Nr7oqerlQLuSp9X1X3FbJiRk1+sSsioXaRkWZK1WJLtxYQafyf3btUs9En9vVp/zvvWpVcFRX1b45jyvOQAj5Q+qo0RpOwzgLyKD/z99CT7lU8HcwieVa1a/5xQZcbJ6Hk+Un+z6uYZqmxxLlZXTJKLNVjKi9pqD7mtDtT4TqOTU+E1qstLsermGVi5eX9WqyKWi2GsT9Q7tWc6a8yOi7W8FzPmk/NaAnh8wQz0DXKZDd8VpSV46OV38bsDvfD7vJmNXdu7+0w5jWwEM+e7YvZNSSflKq7ljjU34ShEWLFFi62h2JggCMKZSMUTMS6Fncf6Jf1BR0sApV4PIjEuEyc/uGkfbm+bDIwga97ZEWzAbWfmzGKo8dF6/WokxmUtdAP64ljh/f0+b6aKWpm3BL+661LsEFRj4sn1b+QLCStgeSBOTu92HO6T3NySK8/C2HXWxLo8u7Ju2xGsXtQKD0bXZNTEokrw1Rx6TsVwe1szZk2sy+ioWE5AKWfHpdJ5C908Ww+GcPxMmwaW+SSpMvJ+lXl6rZiZH7NssftPf/oTbr31Vhw7dgwjIyNZn3k8HqRSKYm/1A/Hcdi1axfuu+++rJ9//vOfx44dO5jdR81ubD2JMLOSKFpOvCgl6tQKJ4sd5+PrKrFy/nR0fxJV3afBCSeRB4aSsgtxWwWla+Te99k1FZYm1cTe7aqbZ6h2MG7Hqj41rBOIViVfxeTj8QXT8dw26dPVT90yS3YBYndPGOfUVCiOUcyGGTn5xaqEjJpFSoBtSdZiSrYXE7xd+GhgCB/0xwEg4+/mTKqXfbeBap+kne4IBnBqkBP9ey3BJu9bpWRZqz5qjRHE7POh3ijTZL9SrJRIjn5HNfrnhCozTkbP85H7m4dffhePL5iB77+0N+u9dLQEcNvcyZLJL7MqJmnticdaXtRWewCyF78Bad/JYnIqdo2OlgDWLf4sOp9/O5PA6z2dYBZ7svaZVm2OdAJmxsVq3wur+WTuO6so+3Rhm6c92IDFbc2ZntTCjV1mnEY2gpnzXTH7JpcUbAs2wOeVfj65Y+UTjgDyNsr+cOFMXSUcKTYmCIJwLrnxRCTG4Z8FFcOAbH/QFmzAbXMn47p/3Yo5k+rx+IIZePiVUZ8949xaXDfjHCxum5zJEZ81phxfeeZPWQvBQtT4aL1+NRTl8jZ861lI4+8v3GyXWyGUr8bEtx/K9W/kCwkrYFlBQE7v1m07glfubscjL7+rKM/C2FUszoxxKfz6zz14cuFMDCXTGEwk8bezz8WDm/bp0hWxOW1bjo7m5gSUDkr1D6qbv7POJ0mVkWd9QMPs/Jhli93f+ta3MGfOHPz2t7/FuHHj4PF4TL9nKBRCKpXC2WefnfXzs88+Gx999JHo3yQSCSQSicy/BwYG2IxFZyLMjCSK2tOHSuPTIpysdpyfinGa+jQoGV5faQkOfRI1tZRoTUUZTkaGZH+HH7fS+7YqqSb1bldu3o91iz8LD+C4gMks3bUC1glEs+VEbMcqAJxdUyG5++zNgyEMJobx6PzpuH/j3rwJDL8YfMnksYrjFLNhRhKPSpOZVHpEta0TPvv+GIdIPJm1KQdgW5I1955uTLa7WXfNhLcL59RUIBTl0FDlw4KLJqh6t9++Moj0yEienn37qiCmBKrQWFOR9ftag03et0rJstZTXyxiBNbJfrlNA23BBuw43IezaypwXmO1ov45ocoMa1jqrZ7nI/c3rx/oxfIvTs17L9UVpXjgpb2iyS8zKyZplT0W8pLbX1cOub5lYr6TxeRU6hpbD4bgAfCfyzrQH+My+nT5+Wc5doHaqs2RrHCqz1XzXljZUuE7y5Qqzbnutu4+jACZ01TCJLPREyCsS/aZWapUzL5JLVDz8XwkzgGoUjXWGJfCsvVd6GxvRmdbM2ory1Dv9xmu2OL22FgMp+ouQRDykO7KI/TtvD/47ufORyQ+6n9yDzgtf2kvZk2sw+8O9GL6+Nq8/PDSq4JobaozdEpTr1/V4jPl4lj+/lKt+rZ198Hj8WDTt9tQ4vFI+rdC9IVWQXqrDpYVBOT0Lsal4AFUybNQD3PjzMRwGpMb/JhQV5n3d3p0RWpOm1sxDcjOCSgdlBpOZx8SziX3kCqLfJKVBzTMzo9Ztth98OBB/OY3v0EwGLTqlhlyF9ZHRkYkF9tXrVqFRx55hPkYjCTCWCdR1Jw+FJZKSQynwQ2nMiVjeLQIJ6tEoNagQ2lh/9V9H2Htlm5TS4kGqn34eED9uJXetxVJNal3G+NS6Hz+bfznsg4Mp0ccFTCZpbtuxUw5+WhgSLREsdIi7kA8CY8HaG2qzwQauRUa1NgCMRvWdTyM9mADtmmY1PDJxuH0CNYt/ix29/TnlYMCRhe7tThi/tlHYhzuPtP7VIgZJ4LclmwXQrorj9Z3G4py6Hz+7ayAntezzuffxitL29FYk/83WmSc961Ssqx06mvnsX5UlZdmfC6LGIF1z9davw8P33ghHty0T3JzzucuaMz8rtw7ckKVGdaw1Fs9z0fpbwbiSUw5qzrvvTwyfzoSw3uw81h/Js4FgIn1fm2DFsB6ocmovOTuLl96VVDSP4ptcuX1Wsp3spicKl1jOD2Ci5rqMz+r9etLQEjhZp9pFCf7XDtsqZoy/7nxrZ7ENTDqd/iKLR6PJxN3zplUb2geamapUjH7Jkwc3nfdBTh+Kp4Vz7+ytF3TWGNcKjMfFybSjFZsKTQ9d7LuEgQhDemuPLkLU2u3dKN1Yp3kIaetB0OZPrxC/8znsGc31aP9vAC+fWUwq9x3h4ZNknr9qhqfmUimM5u65Cq1zWsJKFYILfF4cF5jtex3KTRfaBWkt+pgWUFASe8azuRrtFYC5e0Kzxv3XC56DWEeNxTlWxtxsptS1bYLA/JzArmbUcpKS/Cf+z7K2Au5fFru/J1FPsnKAxpm58csW+y+9NJL0d3dbelidyAQgNfrzTvF3dvbm3fam2f58uW45557Mv8eGBjAxIkTZe+jZne2mTuu9ZCrVBVlXmzeezJT2lGsVErugrAW4WT1/bUGHWoW9gFzS4nW+n2Y1ODXvBBnJwNDybwNDxVl3kxSpj/GZSUhnYAe3XUarE96mEEkxmXKKgvx+7w4t74Sz942J09e+MVjXs+lAnbh7yiRa8NqKsvwlTkT88rWSgVZakrN8H8f44ZlxyLliKXsD8uSrIVAIeiukxgYSuYF9ELE5DWaSI7ughex92KbUHjZ/sNfPxENwtdtO4J1iz+LEo8nT8d43/ufk+ozPtdIjMDbzUicw/q7LsV2FT3M1JZg9kB+c45ae+W0GJAFLPVWz/PR+0x539EfS2LFxr2yca4aIjEO6ZERPHvbnKzFK6EP0WrTjepDrmwLF+a2SWzcEP6s63hYNkGh1V6IoWeCS8k6Npjpc82OY82wpWrK/Odu7JI7jSz1fU+E43lVkYRxp5F5KMtEY+47rK4oxTVTG/G6oMQ7MPoMunr6ASDPjsrZPC1jLcSNYkageJkg3Emx6K7eGEBPizr+c94/S5X77mgJ4KUlc3EyPISTA0Oqe8+K+Sq/z4sVN0zD7KY6yUUwqXw17zMn1FXii9PPUXwu/P0PnJQ/TVxsftBKikVvWcCqggCreDZQ7cOqm2egcUx53lx1zqR62ThVTZ5IaOvKS0uw9Kqg6KEp4FNbJRUfCxfY3z0xkLFfSlWUctuyscgnWRl3m50fs2yx++6778Y//uM/4qOPPsKMGTNQVpY98JkzZzK/p8/nw8UXX4zXX38dCxYsyPz89ddfx/z580X/pry8HOXl5arvcTIcx+//+klGifpjSfz5yClccf5ZGCdIlpm541ovuSXc9hwPI8alsPSqoGiplNwFYS3Cyer76zF+asoK89/PrFKiE+r9eOLmmVj+0t48o2l3+W8xaivLRINFPilTU+m8xLxW3bUapeCfRf9LKwhFubyf8ZOLH/7Xe3mJdD6JJwwqWNlCscS3miBLbakZXj+l+j3xyDliqcCPZUlWt+N03XUbegLH2kofunr6Re39svVdon8z/sxk/bIpDVixaV+WPs2ZVI/JY/147Kbp6O6Nii4U7zzWj3AsqXmhWoiY3VTqYaalPFNDlQ97jodFNw5osVdOjAGNwlJv9Twfo890xaZ9eW03tG58VNo0NWdSvS6bHqj24ZqpjfjMuJq8BeX3Tw7IfjexHdnChbkHrp+GoWQKlT4vdvdkx8IdLQE8cuOFAIC72pslx63HXuRSiBtA3AIL3RWLaWNcCv9schxrhi1VkkXed+Vu7JI6jSxGxu90y8edRuahLBKNUnORx26aDgBZC94dLaOn5jqffzvrd9XYPLVjJTuRDcXLBOFOClV3hbFAla8Uu3r6sXLz/qwNn2piAD0t6urO5CN5/9zaVC+aw956MIRHN+9Ha1M91m7pVtUyj0foqwYTSdRU+rBi4z4s37A38zu535HPV4vND+6+qgWTx/o13X8wIX/ootj8oJUUqt6aBatNySzi2UEuhVf3nMSunk8rubVOrMN/fOsy1FeWyVZgUsoTDXIpVYemeMpLS1TFx6Eohx2H+zLzjdyNtZVloxt1dhzuy7sPq3ySlXG32fkxyxa7Fy5cCADo7OzM/Mzj8WRKiqdS8osJernnnnvw9a9/HXPmzMFll12GZ555Bj09PfjWt75l+NqRGIdjp2LYvOdE3k6L5kAV/D5vRphZ7rg2A+H45EqlCBeEtQgny++vx/jxhrerp19Tz2+WnDvWj7Uu6ZdSVV4qGixu7+6DB8CPv3yRLeNyK0oL2Vb2xjDKwFAyL+kn1UuI//eKG6bhivPPynwHM22hmiBLqdTM/V+cmtUbORLjDDlisTGxLslKEDxaA8dIjMOKjftk9VdKxnnZlvJtUj6X3yDzwMa9WQuOSgvVueMWs5tKPcy0lGdiFbs4PQa0Gz3Px8gzZdUTW2rTVInHg/9c1oE6v/RkWo5avw8rbpiG5S9lnzxvDzbg8QUzdJV55hfmPndBY6Yyzzk1Fbhk8ljNfcn02gshhbgBpFiQimmXXBnErmP9Wb/LOo41w5bKyWL7mUoH/OkKD7KrI6i9r9oSh0bnoUYSjXJzkQc27sNTt8zCfdcNZ9kLAHhlabuuOFbNWMlOEARBOBM1VfLUxgBivl2pRd2kBj/mtQQy/rmyzCuZwzbiZ4WnLpeu78rbtCb2HcfXVWLtolb0nk4gEh+tmFnlK9U1L2gcU05+kCg6WMSzu3r6VVUsFqKUI+g9ncCjm/er6s8NjG4MDZ5VrWoeNDCUzDvNzc/f24INeGz+dJSXefFvfziUt9DNKp9kZdxtdn7MssXuI0eOWHWrLP7u7/4OfX19ePTRR3Hy5ElMnz4dr776KiZNmmT42uFYEmu2HJRM+Dx+U3ZCilVpB62oLSfDj++vvVHZ6/EBglbhZPn99Ro/u3eIqx233eWso0PDor0hgNEkT3RoGGfXiH5M5KBmIdvK3hhGqakoy3PCchtktnf34eEvXYhxZxb1ebleccM0+LwliMQ5VJVrtwVGdESpPAs3nMa08bWZf5vliKkkK2EGWuU1FOXyJu4827v78OAN01SVWhP7HTGf6/d5sWZRK57ffiTvZK3SQnXeuCXsplwPMzXlmXLty1O3zMJgYhgDcf2xi10xoFtQ83zE7L6eZ8qiRJeS/A2nRwxN0u8XWVDe1t2H+zfuw2M3TUedxK50LXGuHh/Ewl7w96YNIO5DLqZNjYzkJXn4z1jGsUZtqZgdkZLFxxfMAJdK43MXNKKmsgw//vJFiA4Na76vmlLpgL0ntJTmIv2DHOLJVF7Mbaaukp0gCIJwHmqr5AHqYoBIjEOcS+E7n2vB96+fCq/Hg9ISj2yLunE5p6651IjsmI36Wa35OlZ5HvKDRKFh5lpHJMbhZGQIWw+GVFcsFqIUr0fiSdX9uYW2Sg01FWV5p7mF1RFHYH4+yWp7Y+b3sWyxm8Xisl6WLFmCJUuWML/uICe9ILi9uw+DIn1erV7c0Foaudbvw1iF8QkDBK3CaffiTnVFKX5156UIx5N5PQadsjPOCeWsWfVqsHvR3gmoCYzd1JMuUO3DnEn1WU7Y75N3JYOJYaZybfRaSosBFT4vIrHsCYtTF6pIx9yJ2e9Ni7wq2Z+4Qhl/OXJ97t4Pw5gxoRblpd68hW4euYVqLeOWsptK+l/p847u3BexL1POkh+TEnbHQE5H7vnI2X0lWcmFxcZHM/220kJ6d28UL+w4mufzzOgfngtLe8HKr5IftA61J5RzYR3H6rWlUnbkyYUzVcuins2+akql2zEPFerOcFp+oeBwaBBLfrkbgLXzUjvjb7ItBEEQ+WiNBeRiAKW8jpz9F8YChxQObGnxs2K2vz+W38pP7Xc0itxzID9FmIUZsmXmWgd/7UWXNAGA6orFQpTidb/PK/t5bWUZNi6ZqytW5U9V78ypkuXxeDChrhINVfl2zwysjrvN+j6mLna//PLLuO6661BWVoaXX35Z9ndvvPFGM4diCoMKCR2lPq9mo7c0stbSBWYJJ2vjKldq59d/7sGj86fbHhh8PDCEo6FBLLqkCbe3NWcSlVaXs2aRCHbCor0TUJMQt7vigBaEu7344OHZ2+bI/k1VeSmzMu1GS74rLQa0BRuwec9J7DkezpNVpy1U6dUxmhTZi1W2Ua28mmV/xL7n4wum47ltR7Do0knw+7yZHkrCnsTrth1RlTDQO27hRCL3/h8PDGHPBxFXtJQoJjLlyI71Y+lVwax39oe/foIvTj9H12TSSIku1nojtMvlpSVYelUwr389T2I4nSeTZvUPz4X19zbqVynWtBa1J5RzcUIcKxc/3ntGl7RunFGLnM1pCzag93RCUT/NnhcrxfLC/qlW+0RW8beWZ0i2hSAIQhytsYBUDKA2r6PG/geqfbhmaiM+M64mb265/0RElZ8FxG3/qptnYNJYv+zfWVUhlPdjh0ODqPIldPdJJ9yJVXk8M2IgM1t3Cq+9eO5kANJzEh6xfJNSjqBK4ZBXvd+nai4h9R6fXDgTx07FsGbLwbxy6JeffxZq5c0QM5yW99aDqYvdN910Ez766CM0Njbipptukvw9M3t2m0ldpXh5Tj55OgLg0CdR2xYS9JZGdkKpFNbGVam34o9umYWzayoMj9sIJ8Jx3Pubv2SddhMmKq0sZ200Ecw6Me1m5BLDfp8X9X4fuFTa1JNYrMnd7VXvl5cXn7cEWw+GJBe3+gbVy7WRku9KiwGtTXW4va0502fKyYtbeoNFSt7ZC4vNGqwnOGb05pH6nmfXVGBrdx/uaJ8i2kOJ18cakfiK1biFE4ln3jwEYHTn71AyhckNflSXlyJQ7UMomr2D32ktJYoFvhzZrZc24d4vXIA9H4Rx9xkbDYzKzGVTGjS9FxZxLku9UdP3UAi/6MTLJADT+ofnYuR7s7ZfZiZNCHGUYtpz6yvx7G1zsmK8908OOCKOtbNlkJTN6WgJYOX86ahX0E8r5sVdx8NoCzaIVq1rO9O7XIjcM3Pipkotz5BsC0EQRD68bR9Oj2Dd4s/m5a14hJuj5GJDln651u/DihumYflLe7Pmlu3BBjx20wxFP8t/PzHb3zimHDsO90n6yI6WAEq9nrzKgKxh2SedcB9W5fHMioHMjMOF1+bjWaEdApCfixap5qmUI/D7vKrmwXJxsNx7rPJ58bMt3Xl2ZivptWZMXexOp9Oi/18oNI4pR0dLICOkfp9XNHlr10KCkRKLdpcMY21clUpC2t2DOvOdJfq/831vrCpnbTQRHIpy2HWsX3IxQ2ti2s1IJYb9Pi/WLf4sHti4L6v/pRknscwgd7eXnLz0nh6StI9twQYsaJ2g+r567ZrshhcA/+cbf4P/3v9x1sKCkxe39ASLlLyzH9abNVjEF2ZscJP6nvwO29TIiGgPpe3dffAA+PGXLzJ13H6fF//+5mHceumkPJvUHmzAv9/2Wdz6//0pL3njpJYSxYCapM727j6s2LQPazXaL6NxLiu90dL3EMhfdOJl0qz+4bno/d5m2C87Fy+LFaWY9qn/ei9rLtMebMDjC2Y44j3Y3TJIr82xal68btsRrF7UCgBZvrkt2JDZCJqL2DNz4qZKrc+QbAtBEEQ2ajdmCuNUpdiQpV+OxDjcv3Ff3txyW3cfHty0D2vO+Dc55Oavcj7ygeun4rp/3Yo5k+pN83Ws+6QT7sLKPJ5ZMZCZcbjw2ryufjwwlNmgomWtTileV5oHKy1my73HlfOnZ60N5P4O6bV6LOvZrZYZM2bg1VdfxcSJE+0eiiL86SBe0Dvbm0WTt3YtJBgtNciidIGend1mGFe7ExxKqO17Y2UZQCOJ4IGhpKQ+6E1MuxWpxPCKG6bhZ1u685yZGSexrEBOXmJcSlYeHn75XdXyoNeuyW546e7D4tMJ0Z4udtsGnlxbmhoZgd/nlWyXITZuSt7ZD+vNGqziC9Yb3KS+J7/D1uPxiO6MB0aTEvwGNKUYQu+4Q1EOF4yvEbVJ27r74MH7eYuMgDNK8RYLWpI6W3XaL6Nxbq781VSWoaq8FNGhYXT19KuKe7X0PRRbdBpTUWZ5jKtV78yyX06P7QsR5Zg2354+sHGfIzbTOaFlkB6bY9a8WKza0p4PwrikeSzu/+JUcGd+tnnvSdEKE0D+M3Pqpkqtz5BsC0EQxKeojcnntQTw6PzpGIhzWHDRBMU5GUu/rNdXqmkjVF5aghiXwrL1Xehsb0ZnWzMSw2mUl5ag63gYJ8NDpp+qZtknnXAfVubxzIqBzIzDc6+978MI5rUEcElzAx555V3Mmlinaa1OLl6XmwcrxcErbpgm+x4HuWHZ70l6rR7HLXYfPXoUyaR7XqBQ0BPDKdHFEsC4AdKzaKxUarC0xKM6GacHvTu7zTCuTkhwyBGJc7KfJ4bTtpSz1psIrqkoQ+vEOkl90JuYditiDjE9MoLlG/aK/j7rk1hqMVp2UEpeAtU+zJ3SICsPvacTppaOdXOfyQ9OxbB8Q3blh46WgGSJW0B83JS8sx8zNmsI4wsjOsyyN4/U9+TLSg0l5VvX9Me4Ubl/aa9iDKFn3ANDSXkf1R3C4rbJWT9zYkuJQsYtSR2h/J0Ix/G9//hL1rg7WgJ4+MYL4QHQIKKPSna5prIs00u363g4y+arlUkz/JiU3onZILMSNE6P7QsVrTEtiyQci7LYauJHJ5bfNiN2q60sk6y2dHtbMyrKvJg2vhaRGIc9x8OicaaY/TFD11m8E63PkGwLQRDEpyjF5Pd/cSrmzxoPn7cE4TiH6gppWy206WOr2LUE0uMr1Z5WF7b5yJ07tgUbsv6t5Ov0+jRWfdIJd2JlHs9oDCQl42a1zgtFOUTiHNbfdSn+fPQUZkyoxbPbjuCnvzuY2dh53YXnGFqrE/tOYr25leLgcFz+PUkdZOIhvVaP4xa73Qif8Onq6Zf9Pb0GSO+isVx/sCVXBnHd6q1ZCTOWJVeM7Ow2Y4JphmFlxYlwHENJ+TL/dZVlji1nLUag2oejfYOyv1NsC2u5iWGz7IVezCw7WOv3wZfTMyWXnlMxVJWXKt5LbwlVJbuS29OFv6bdi1sf9sdw74Y9on1bRkZGRE+fSo2bknf2o9cX9cfkN0SdHko6qnSo1Pdct+0I1i3+LNLpEcVriMk9qx3zNRVlOBkZkv0dYdLASEl3Qh9uS+pIxb1bD4bw4KZ9aG2qx57j4Tx9VLLLY/0+TKirVPR5TohxpWzQP1zdIvt3euMdJ8f2hY6VMS0r36YUP8a4FP7ZIT5UiBmxW1V5qapWIlpjbtbJWFbvXuszJNtCEATxKUq2PZ5MYdV/vqdoq3NtOt8CZQTI+1ut8y6tdl5LBSl+/ur1eLL8glSbDylfZ8SnacllkZ8qPKzM4xmJgZRknGXrPLF7rVowHc9t+zS+jXGjB1KnjZPvWSsXn2rRWyVbWeXzyn5eW1lG8Scj5FcfCE2YYYCUFo0jCglwfvf9G/dcjo1L5uL1787DF2eMQ+fzb2ftGlF7PbWo2dktBW9cxdCr4PxkPfe6diew+fe743Bf3q5Ano6WAM5rrMY4GxMtWqn1+3Buvfx47U5M242TFh6N2hk11KvQMbX3yrVrb9xzOdYsapXVETm70tESQO/pRNbP7LYNwOh7OdYXky33PHdKtt2QG7cZtpXQhh5fFIlx4CQqD/BUlZearsNakPqecybVY/JYP85rrEaHhCy2BRvgKy2RlHulGEINgWof6irlbeyUQJVq+0Kwx21JHaVTL60T60T1UY1dVvJ5Tohx5eIIr1d+ullVrm/vtRO+NzGKWTEt6/hUSpf8Pm/eQreR+7DEjNgtOjSs2EqER0vMzVIOWL57rc+QbAtBEMSnKNn2RDKtaKvFbHqMS6Hz+bfxxRnj8Pp35xmad2m182ridh5+/sr7wt986zI8e9sctDbVi1bZE/N1Rn2a3PfT0iedcCdW5vH0xkBqZFxPHlfLvRprKvJaKgHiB5uESMWnWvVWyVZW+Upl32PjmHKKPxlBJ7sZYsYuYBblwIS77w/1Rk0tM8ejtKOlP8ZJllDXe3JTCbU9Bq0sYce/313H+rF6USsAZCUfOloC+OHCmTi7psKU+5vJOTUVtCtJBiedGrCiB4zc9+UDdC330lq6WMmu+H1eXDJ5LJN+xbnotSmhKKdY6qaizIs37rlc1bhr/T48vmCGaGloCp6sQ2u/21CUy2yIEktOd7QE4POW2NqPXUzGlb7nkyL6yO+QVzp1ze++1atbtX4fJjX40R5swDaRZzqvJYBxtRWkEzaixmcA5tsvtTKm9iR6rj6qjXmVfB6vb32DHFLpEaTSI4hxw4glU4jEzG8bIxdHlHggab/agg3wKSyGy6HVnhLmYFZMa0Z8KqZLh3qjtvpQOVjMi3PtmFL7rNwTLmpjbpZyoPTuTw4MZcamhJ5nSLaFIAhiFDnb3tESwI7D8huUa/3SLW1iXArLN+zFG/dcjoua6nWPUa2d5/1h36C8H6ytLMPGJXPzbD/fNuzu9V2afJ3ReEbu+2npk064E7PWSKTQEwOplXEWrfPCsSQWz52MRZc0oaLMi909/Vi37Yhka0phK4Jc5OJTrXqrFAfX+csU32OtHxR/MoAWuxlihgFiXQ7Mql4PSjtaIvEk7nhhJwDxEhBC4xqJJ+H3eVFS4kHcYNJOybBaXQaWfx8xLoVl67vQ2d6MzrZmJIbTKC8tQdNYv2tPk1ntkN2Gk56PFXaB/75ifZGE5Z/MLN+uFLRp7dOi5h0ZsSkDQ0nFXYi1lWWi/WKkxvLwK+9i1sQ6LJ47GYnhNOoqyzCpwb12xsnIyYyWIH9gKIl1246IbohqCzbgkRsvRFhj4polSjIu9T15ffwwHMfRvhjKS0syPYnXnPmuUoypKDPsryfU+/HEzTNp84dDcUJSR4uMaTmJnquPrBZVav0+DHIpW9oZyMURJyNDuP1Mj/Vc+3Vn+xRwqTQO9UZ1bzJlkTQhjGFWTGvVvNXKXoh60GsjIjEOHw0M4YP+ODweTyYZ+O//Y47s3+k9ic9SDpTeyeFPBvH4bw+otm16niHZFoIgCHnb/tCNF+JLa7ZJ/i3vP63ws1J2Hhjd1NYf45BMpbH9UB9mKyys1/vFe/IC+nyd0vdXmssDSn6sSvHvCXdj9SY8rTGQUR1Xm289EY7jgY17s05wtwUbsHpRK0o8HtFr87m0EniwtVt9fKr1O6mxDWoWsyn+NA4tdjOGtQFiXRbOqtLJak/kANI9OPmk3cOvvGtJ0s5In3G9CN8H309CyBv3XM70flZDu+LlccrzscoujK+rxGPzp6P7k2hmQwe/uMWXfzK7fLuewEHvoppRm1JTUYY33uuVPdGr9pSMcCy/O9Cb9dm8loAp9q2YYblxqqaiTHJDFO9Lq8vtaYtgVMb5nf5Lfrk76+dKu2+rK0rxvf/4i2F/fe5YP9Y6wAYT4tiZ1NEq21riXjF9ZDGptSOO5ZGLI0pLPLhbxH7tOxHBCEbw6CvvZiUsnNAnmdCOGTGtVfGpk1oLSaHVRpwIx3Hvb/ZkJfX4ZOCfj56SrWxipLoUKzlQs4FIq22j5CFBEIQ+pGx73yCXV8ZbCO8/rfKzuXZebE7eFmzA56edreukJ49WX6emFLyaQ13kx4obJ79/IzquNneWmevm6C2vx51tzaJ6HeNS+NVbx7C4bTIWt00GADSN9aNxTLliPlbrd1JjG5z8HgsFy3p2Hz16VNXv/fznP8fZZ59t7mBMpvbMLrCLmupxXmO1ISFm3ZvBql4P/I6W3HvxpzjXbTuS9XOxHpxW9BEWYqTPuF6KoYcuS30oRJzwfKyUwzp/GV7YcRRLfrkbd7ywE2u3dGcmSE6UeSN2yKhNCVT78P7JAdx+JmgT0h5swKoFM1TLix32rVhh7bt4/eQ3RN3xws6M/uw5HkZDlc82X8JCrsTGvm7bEdze1oz2oHhP+sHEMDN5doINJqSx6/1olW21ca/T9VEvcjao93QCcybV59mvZGoEz247kpewcEKfZEIfrPXVKt9WaPOxT5OB2fZge3cfntt+BB4PsLitGR0m9QRkIQdq+5NSDEsQBGENYra9oUqd/7TDz0rNybd39+Gnv/sr/unaC/JyLFr8oBZfF6j25flcnrZgA3Yc7iNfRrgavTquJXcmN9fd3t0Hr8eDu69qEZ2P33rpJNy9vgt3vLATd7ywEyUej6Ke6/1OlF+yH8tOdk+ZMgVz587F17/+ddxyyy0YO3as6O/deuutVg3JFbAuC2dl6eTcHS2+0hK8uu+jrFOcQnJLQGjpj8Ciz7YdJeycVMqaKF6slEO3ybzaxQMx+2PUptT6fXhk/nQ8tGkfWpvqMyfi+NLjE+r9qr+H00t0FhKse4yq1RktesXCZwJs5Ers+8W4FH795x48uXAmhpLpvF2xXT39hu9LEHLokW1h3BuOc0gk09hxuC8T95rt51joo17bIGenrjz/LFx+/ll5n82d0pBX0YjH7j7JhDOwKmZ0W2yqhFIysLOtGXev78Kmb7ehxOMRLfdqND4witQ7yW1/BJDPJwiCsAu1/tMOPyvnC7e89wn+x99MzuRYxlSUot7vUzzpqZdavw8P33ghHty0L6+lD+/TPndBI/P7EoRV6NVxLbkzpbluamQEk8f6JVvlCdeh9Oap1Hwnwn4sW+zeuXMn1q9fj8ceewz/8A//gGuvvRZf+9rXcOONN6K8vNyqYbgS1mXhrCydLCzPcKg3KpnUAvJLQKhN2p0Ix/Hgpn24YFwNWifW4WRkCL3+MjSN1bYYZFcJO6eUsiaKGyvl0E0yr6a/klSrBRY2ZXxdJX50yyzTy0E6oURnoWDGxgI1OqNWr1iWWB/r9+HZ2+YgMZxGRZk30w9Ua1sC1qXgSJ4Jo+iVMWHcG4lxOLumAp+7oNESP2dUH43aBiU9zv0sotCfkBawCMC6mNFNsakSSnFIYjiNGJeCt8SDhqpPE4ip9Ah29fRj5eb9WVWX7GorwL+Tk5EhHA4NSiYsyecTBEHYh1r/abWfVfKFJV5PJk5+9rY5WLulG08snIla9SlkTXiArAMMuT6NfBnhdvTouJbcmdL8vGmsH+eciVfFWuUJ0ZOnGkwkUVvpA5dK46OBIcSSKds2hRLyWLbYPXv2bMyePRs//OEP8fvf/x6/+tWv8M1vfhN33nknFi5ciHXr1lk1FFfCuqa/HT0CcvsZ+n1edLY3o3ViHQAgPTKS1adETaIxEuPw4KZ9+MolTXhu+5GsxfT2YAOeuHkmzh2rLlqR67dodgk76tlACGF16lIrVsqhW2Te7/PKfp5IpiVL7jx1yywmNoXFs7LTvhUbZi3EqpEDpd/hfeasiXVYPHdy1qLYQ5v24Ue3zFItayfCcTywcZ9oP9Bl67swZ1K9JrnSIuckz4TZsJAxK/2cEX2MxDj0nk6g51QMt7c1Y9bEukzyj2VP3NzPDvVGZa9FST+CR68uaY2n3RKbKqGm3/U1Uxvh85Zg6fquvF6mvN3QYwNYw9/z8VcPkM8nCIJwOCPA6KquBFb6WSVf6PV4sHpRK3711jF0HQ+b7u8aqnzYczwsegCMfBlRKGjV8epy+WXJKsHnSvPzxjHlqn9XT56K5aERFti1buAGLFvs5vF4PLjyyitx5ZVX4u///u9xxx134IUXXijYxW4Svk8RloDYeawfqxe15i1QCw2FGuMUinK4YFwNntt+JKscDABs6+7D8pf2Yq2GBB2VqCDMQq0tcJoDLWYiMQ67e8JoCzbk2RcA6GgJYMfh/J8Dowveg4lhx9gUsm/WYcZCLKtYom+QE90cxpdQ6xtUVzZYrh8oAKy4YRquOP8s0+SK5JkwGzfJmBF9FIs5xBa75EqK67VPtGmlsHDanLeY42k53WoLNqD3dAIP33gh7tuwV7SXKQB0tjdn4gS72wq4yR4TBEG4ESM+3Kn+VskX/vFwH97p6cc/f+ECfOWZPwEw19+RLyOKAa22xOctkcy3tgUb4POWZP6tRYdY65tSb3GrN4U61e46BcsXu48fP47169fjV7/6Ffbu3YvLLrsMa9eutXoYluAU4bM7+SC8f21lGZ66ZRaGuBQe2Lg3z6DlGgol43Q4NIjZTfWS5dG3agxWCqmEHeEc1NoClg7Ubr13G2LPKxTlsHLzfqxe1AoAef2VHr3xQly/ZpvkNQfiSUw5q9o2myL2nci+mQ/rwJplLDGcHhHdHLa9uw8lAB65cToiMek+9DxK/UAf/tKFGKdxbFptFvlrwmx4Gesb5JBKjyCVHkGMG0YsmcqqRGQ3Svr40A3Z+sjrWmpkBCtfeRdbRewBkL3YJVVS3Ih9oqRf4WD2nFerf3BaQkoLLOJ3Kd3qaAlg5fzpqPeXqerrLcRoWwGj34t8PkEQhDmo8eFSNtwMf8sqj8X7QrFNnXyf7BiXQmeUU+zly2pM5MuIQkbPfCAc53D7mZhTrJ/9aNurqowORhNJrLxpOrjhNAYTw6I6xP9ujEviBzdNxyCXwsDQMGoqS1Hv9+HsmgrN301Lb3GzcfM8xyosW+x+5pln8Mtf/hLbt2/HZz7zGXz1q1/Fxo0bMXnyZKuGYClOET67F9yl7n//9VPzkms8QkOhFAzUVpYhkUzLjkHr5LxQStgRzkCLLWDlQO3We7ch9byWXd2CGJfCsvVd6Gxvzuuv1B/LnhjlwpdgtcOmyMnAeY3Vlo6lGGE1kWUdS6TTI6K7ZgFga3cfjvQN4qFX3sW3rwyi8/m3JXt2KvVWGkwMqx4ToN9mkb8mzKbW78Mgl3K0T1XSx+P9MVRXlGJ8XWWWrj172xzJWDx3sUuspDgL+0RJP/dj9pxXj39wUkJKCyzjdyXdOhwalP37xHD2/NpIWwFW34t8PkEQBFvU+HC5ODjOpZj6W9Z5rPF1lVhxwzQcPxUT7ZMNAEPJ7HxOrr9jPSbyZUQhonc+UF1ehkX/31ui+dZl67uw+e52TTrI/+6uM9WEn/iv97PyX3p1V0tvcbNx6zzHSkqUf4UNK1euxCWXXIKdO3fi3Xffxfe///2CXegG1Amf2SgZG/70lh33/6A/Lvu3QkNR6/fhvMZqXNRUj/Maq7OUtqq8FKmREdlrUc8/wk602AIWDtRuvXcbcs+LO5Poi3EprN3SjTte2Iklv9yNO17YibVbujGmogzzWgKi17WzBCvJgDOQ811qYR1LxDj5RejE8GgP+jVbDqKz/dOFrlzZYdmXnOSVcDJukE8lfQSA+17cg48HhrK+S+5iVi7851L+jJV9YmErCfswc86rV/+clJBSixm2Rk631PT15jES07rBhhIEQRQrSj48HEvK2/C4vA3X4m/N8hdejycvjyM8sCDn78iHEYQ69M4HAtU+zJlUL5pvnTOpHlXlpap1UKivne3NohUN9eouy/yXUdw4z7Eayxa7e3p68NRTT+Giiy6y6pa24gThs3vBXe7+Sqg1FNGhYfzxcB/agg2in3dQzz/CZrTYAhYO1G69dxtyz2vH4T50yCxmN44pxxMLZ+YteNtdgpVkoHBgHUvUVsrLJD/Z397dh9aJdVmfCWWH74EmhtakOMkr4WTcIJ9y+tgWbEDX8TDePBhC/2D2dxEm98QoLy2R9WdOmOsQ9mOmHOjVPyclpNRita1RYzcA4zGtG2woQRBEsaJYrYsblrXhfp98sVgt/tYsf2HE35EPIwh16J0P8O0GpHKq0SF5GyTUQaG+tk6sk6xoqEd3Wea/jOLGeY7VWFbG3OPxIBwO489//jN6e3uRTmefJvgf/+N/WDUUS3CC8NmdhJK7f9fxMDpaAqJGS4uhGBhKYt22I5I9dR+58UJmC07UA5nQgxZbwDvQNw3ohd167zbknte6bUfwyt3teOTldyX7idb6waxcNSv7QjJQOLCOJeRsjHCyD4if+uRlR67X7uMLZqBvkMPh0KAqWSZ5JZwMa/k0I5ZU05MQAAaGsis7dB0Poy3YIJoI6GgJIHhWtWwJaifMdQj7MVMO9Oofi3jaaqz2hXJ+/NH50zEQ57DgogmG2wqIfS+/z4vO9ma0TqxD3yAHfBKleTVBEIQNKPnwQZmWbQDgLfEw87dm+UEj/i53TEL/lRhOgxtOIRKjksEEYWQ+INd6p6unX/a6Qrsg1FelCmb9MQ5dPf2q5+NydsTqg05unOdYjWWL3a+88gq++tWvYnBwEGPGjIHH48l85vF4Cm6x2wnCZ3cSSu7+67YdwavLOvDgpn2GDEVNRZlsT11WUA9kQi9abAELB2q33rsNuecV41LwQHkx22jfJdb2hWSgcGAdS0jZmNxFMUD81KdQdsQmJRVlJXjo5XfxuwO9WeOUk2WSV8LJsJRPM2PJ8XWVeGz+dHR/EpXsSVhTkT3tk9osyscc4xTG5IS5DmE/ZsqBXv1zUkJKLXb4Qvm+3lVM7pH7vfw+L1YvasVz249g7ZbuzM9pXk1YSU9PD0IhfRUI5Thw4ADzaxKEmSj58LpKed/jLfEw87dm+kG9/k44JvJfBCGN0fmAVE5Vi10Q/q5SBbNIPIk7XtiZGZ8aHZa3I9bhxnmO1Vi22P2P//iP6OzsxOOPPw6/32/VbW3DCcKnxdjwJ02iiSTq/D5ww2lEE8OGTp3I3X/OpHrU+8sMGwrhPYQBB/8d7xL0HNWLUp8WuVMvBKHVFhh1oGYnnwutwoHS82o48/3478h/f7WnVpUww77QAkThoDeWkNNT3sb0nk6g51QMAPIWxXJPefP3zJWdXN1Yur5LsyyrlddCsz2EfWiRJVb21IpYss5fhhd2HJUca31V9ncRbhb99hVBlJeVoMpXipISD+JJ5ZMqTpjrEPZjphwY0T9hPB2JJ+H3eVXLth3YFbsZ3bCpRO73UuqhSPNqwmx6enpwwQVTEY/HTLtHMkGljQl3oOTD/T6vpG/qaAnAW+JBlc/LZAHIbD+ox98Jx0T+iyCkUaqgcLRvEGMGOVSVlyI6NKw6p6PFLgh/V66CWW6uS4sOmx03q8UpC+9OxbLF7g8//BDLli0rioVuHruFT23ygT9psutYP1YvasUPX3s/74SHnp1qau9v5HlYkWhT06eFDAohh1ZbYMSBmqkThVjhQMvzMuP7m2FfaAGisNBqP9TIKW9jqspL8+SkoyWAb18ZROfzb2f9vZLs6JVlNfJaiLaHsAetssTKnloRSyqN9eyairzPY1wKe46H8eWLz8Wjm/drqsoA2D/XIZyBWXJgVP9q/T4Mcik8/Mq7jvcfcu0IllwZRIxLodaFaZTcd9g6sS5vgzoPzasJKwiFQojHY7i08yHUjJvM9Non9/4R+15+BsPDw8q/TBAOQcmHS1UFu23uZFz3r1sxZ1I9nlg4E+c1VhsaR4xLYcmVQaRGRrLy0R025jCEPoz8F0HIk2tLKn1e7O4J44urtwJApjKClvUmLXMB4e/KtbvNrWgIuFOHnbLw7kQ8IyMjI1bc6Oabb8ZXvvIVfPnLX7bidswYGBhAbW0tIpEIampq7B6OLvgTLIOJJGorfeBSn57ari4vxf0v7cXvDvRi6VVBdPX0i+58mdcS0L1Tjb+/mUmwjweG0D/IYWBoGDWVpaj3+3B2TQWTa3f19GPB0zskP9+4ZC4uaqpnci+CHXborpNOHrLWO6lTm4Ax++AUlJ6XWd/fTPsSiXEIx5IY5IYxyKVQV1mGxjHljn9PheB37UKPnIrJPgDN9kMoy7n9zCrKvJhYX4mWs8fIjl3snnLf6ZqpjXhswQxNu4MJc1Crt3b6SSN23IhPjcQ4fBiO42hfDBVlXuzu6ce6bUcylRQAtrGkGn8m/Ly64tO5QC6F4N8Jeaz0uXr1X6/+uS12jcQ4vLrvIzSOKc9qR7Bu2xHMmVTvuPFqgX+H/TEOv//rJ1nxgdAm0rxaPRQv62P37t24+OKLcc39z2Fs02eYXvvoW6/hrXWPoP07P8OEqa2uuLaZYz7V8z5e/8Ht2LVrF2bPns302m7GabqrxjdHYlxeVTBhLGvUp/L+etex/qw5ZHlpCXpPJ/DF6efYmlfrPZ1Af4xDNJESjeMBygsXOk7TWycgZztyY3Cj601a5gJia2CDiWH4Skvw6r6PRPUXMFeHnbRWUAxYdrL7+uuvxz/90z9h//79mDFjBsrKsuvu33jjjVYNpejgd3uInWbpaAngtrmTseNQn2k71bTuNtFqBMw+8UX9RAk1OO3kIetdXlacSrMzAFB6XmZ9fzPtyyCXwgOb9jlGJgnz0SOnUrKvVZ55WRbrZ+b3ebHihmlIj4wgxqVE9VtqHFLfye/z4u8uacL3/u872MqgGg1hPnb7SSN2XEo+lfyW2HduCzZg9aLWrNYBLGNJJX+W+/mh3qjoQjfgzl3uhDMxov96Y1qnVedSshehKIflG/aK/q3bdZF/h0dDg+jq6c/KOQhtIs2rCYIgrEOtb671+xCKcpket7mo9VFSflDor8Vy0pdMHmuL/1MbxwOUFyaKCyXbkRuDG11v0jIXkPrdQ71RyTEA5umwWjtLC+LssGyx+6677gIAPProo3mfeTwepFL5uyoIdkj1Ctx6MIT0yAg625uRGE7LXuP0UNLMIQLQngixogci9b8llCiGvu4DCvpv1D7YvQiihFnf3yz7UgwySeRjtp7KwcvyzIl1WeWphIvfwiS+Wv2W+k7UN81dOMEmsdYPJb8l9Z15me1sb8baLd22x5J22g2iOLBL/50k22riXCeN1wwiMQ4rNu7L89v8v1fcMI3m1QRBEBah1Tcb9VFyfjCacJ7/UxvHA5QXJooLNbYj1144Yb3JjrUdtXbW6flwt1Fi1Y3S6bTkf7TQbT5yO9u3d4+e6i4vlRcHs3eqKRmBSIzL+xs1O/aNwvd9mNcSyPo59b8leKyQQ7sx8wSyHt23GrO+v1n2pRhkksjHzkokvCzPndKQlchWWpRW0m+p79Q6sU60DBZ/bZJxZ+EEm8RSP9T4LTWxtxNiSapgRJiNXfrvFNlWG+c6ZbxmEYpy2NotbRNnN9XRvJogCMIitPpmIz5KyQ/WVcrbfjv8n5o4HqC8MFF8qLEdufbC7vUmwJ61HTXPyg35cLdh2cluIUNDQ6ioYNNPmRAnt/xBJC6vHInhNPafHEBbsEGyh4LZO9X0lJqzagf8+LpKrFnUanrvccKdFPpJDEB+F1xHSwClXg8iMX3lFZ1WZlIMM3cBmmFfikEmiXzsrkQyvq4SH0XiWT8zWrJK6js5YXcwoR4n2CRW+hGJcTgZGVL0W0rfubayzBEVCOy2G0ThY4X+i5X+c4psq41znTJes1CSg7hI/0SCIAjCHNT6Zt6/pkZG0NESEPVnSj5KyQ9yqbTj/J/S8xlTUYY37rmc8sJE0aHGdjQHqrJ0uut42Jb1JrH5gZVrO2rtrNPz4W7DspPdqVQKK1euxIQJE1BdXY3Dhw8DAFasWIFnn33WqmEUBSfCcSxd34Wrf/IHLHh6B67+8R8wlPw0Kez3ebH0qiCevW0Onv7qbKxb/FlMbvDj//y5B7e3NaMt2JB1Pat2qulJhFi5A77W78N5jdW4qKke5zVWk7EhMhT6SQxAehdcW7ABt82djOv+dSvuXt+FE+G4xBWkYZUEjcQ4HOqNoqunH4c+iTLdAWf2LkDW9qUYZJLIx6icstCh2pyd+UYXpaW+U10lybibcIJNYmHH+Rj7cGhQ9vdODyUVv3O9zj7EPKx8HlUwIszGbP0Xm/vefaaXptmyrUYP1ca5ha6LTvADBEEQxChqbLLQv970s+24be5ktKvIF+f5RoXDV4OJYcf5P6Xn01Dlo7wwUZSosR25Me26bUdwe1uzKvvBitz5wZfWbMOr+z7CRwNDGBhKYkyl+YcY1TwrJxwKKDQsO9n9gx/8AC+88AJ++MMfZvp3A8CMGTPwL//yL7jjjjusGkpBI1X+YMfhPrQHG7C7J5zpnSk8adXREsBvvjUX0SEOj980A1wqjcHEsKUnmPVMgAt9BzzhDopFDvkTyL2nE+g5FQMwukNv2ZmEot7eiyySX1b0OHFThYdikUkiH71yykqHcmWPRckqse9UXVFKMu4inGKTjNhxYYy9eO5k2d/lr2vWd2bt89zk3wj3YaYuyJX+u/dMTGqWbKvVQy1xbiHrolP8AEEQBKFsk6srSvG9//hLxsfFuBSWre9CZ3szllwRREWZF7Uii0VivvFXd14qO5YxFWWO83/kswhCHLW6kavTNZVl+PGXL0J0aNh0Hc+dH/h93sxa2PINe7PGa2ZfbBZ2hDaDaseyk92/+MUv8Mwzz+CrX/0qvF5v5uczZ87Ee++9Z9UwCh6p8jDrth3B4rZmrLhhmmjvzK0HQ3hw0z5MHFuFSYEqtJw9xvITzLwREEPKCBjZAW/mKVCiuCj0kxhCav0+lHg8uOOFnbjjhZ1Yu6UbMUHZQT29F/XovhAre5w4pcKDkv0qJpkk8tEqp0IdElZ/+colTTjWN4iPB4Y03Vsoe3zJKjE6NCQKcr/T2TUVJOMuwkk2Sa8dF8bYcnLN+y257/zDhTMBQFccapbPc4p/IwoPM/VfbYlw1rKtRQ+1xrmFqou1fh9W3TwDv7rz0kx1uaVXBXHN1Eby2wRBEBaj5JsHE8N5Pi7GpbB2Szdu/fe3UFtZluejlA5fiSH0g3b6v9z8CgA86ZC5C0E4CS1xvVCnp5w1msPRmqfSM1/OnR90tjeLroWZ3RdbzbMymg8n8rHsZPeHH36IYDCY9/N0Oo1kko7ks0Kq/AG/C2/D38/N2sUixO5eALwRuO/FPVm7XpSCCT07AK04BUoUF07biWomrMus6NV9Hjf0/GaJWvtVTDJJGIPXIeGO19zqL09q8I+87H0YjuN4fxw3zhyPlZvfxVbB5KIt2IBHbrzQkDySjLsLt78voe9bt+0IVi9qBYCsSXOu35L6zoNcCkvXd+mKQ4vN5xGFgVn6b1fpPy16aDTOLRROhOO4b8PerOfW0RLAqgUzMI7m3wRBEJYj55u7evpl/1bMv8odvlq9qBUejycv9nWCH5TLr7h57kIQZmHFvN7Iuk3u/KB1Yl1WfkuI2fNnpWdF8wT2WLbYfeGFF2Lr1q2YNGlS1s//4z/+A62trVYNo+CRK5MW41I4nRiW/Xu7ewHoNZi1GvoeKu3E11qCmSB4tMihmzGj556RYKmYepxotV/FIpOEMXgdktrxulWHf6z1+xCKcvjm/9oFv8+LzvZmLG5rRmI4jfLSEnQdDzMZO8m4u3Dz+xL6PmEpx84zcj0lUIVxtRV53y/3OxuNQ4vJ5xGFhRn6b1cfaK166PbNPkaRsntbD4bw/Zf20vybIAjCJqR8sx7/qnT4atO321Di8TjKD6qJy89rrLZpdAThXMyc1xudL+far8RwWvZ+Zs+flZ5Vsc8TWGPZYvdDDz2Er3/96/jwww+RTqexYcMGvP/++/jFL36BzZs3WzWMgkepH0BdpT0JAS2YnQilEzEEYQyz+hfp1X27Ep12QPaLMANeh1jveBXaitzrzmsJ4K72Zv2DJgiLyfV9fClHYFSe1S7WGLXjxeTzCEIJu3pq6tFDN2/2MQrFrwRRvBw4cMCU6wYCATQ1NZlybUKff1U6fFXi8Thu4Zj8E0E4D6N6mWu/ykvluzg7Yf5czPME1li22P2lL30Jv/71r/H444/D4/HgwQcfxOzZs/HKK6/gmmuusWoYBUMkxiEU5TAwlERNZRkCVb6MYsiVP/D7vLoTAlL3dBt0IoYgjGFFmRUt9kZpIlZdUYpDvVHX2y6A7FexYLW/5XWI9Y5XKVvR0RLAo/On6xorQZiFkt6x8n1G7TjLxb1Cie2J4sWq0n+5ulJdUYp5LQHsPNaPzvZmtE6sQ2I4jYoyLz4eGKL+ejlQ/EoQxUc80gfAg6997WumXL+y0o/33jtAC94moda/Cv1jQ5UPq26egcYx5RmfuLunH+u2HcGcSfWO9I3knwhCH2bOI43qZa796joeRluwIa+CIUB9sQsRyxa7AeDaa6/FtddeK/s769evx4033oiqqiqLRuU+lPoWKJU/0JMQcGqPaz3GlU7EEG7A6QloM8usaLU3chOxx26ajvtf2ovfHehVdS2nQ/ar8LHD39b6RxMT4Zj8pMFIi4KPBobwQX8cANB1PIwvrt6KOZPqXauLRGGhVu9Y+D61dlzvxla1Y3FqbE8QWmEZk4rpXYxL4Z9zdOWaqY34wU3T8WFkCGu2HMyqXtLREsDl55+FWj+Tr1cQUPxKEMVHMnYawAguuvVenNV8AdNrD5w8irfWPYJQKESL3SYi9K+DiSRqK33gUml8NDCEWDKFitISPPTyu/jdgV74fV6svbUVr+45ga2CBaW2YAPWLf4sJo/1OyqfxUP+iSC0Y/Y80u/zyn6uRi9z7dffzj4XP/jtfnxmXE1mk2q9vwxNDrVNhH4sXexWwze/+U1ceumlmDJlit1DcSRq+xbIlT/QmhBwWo/rSIxD3yCHEQAPb9qXFUipMa52lbsjCLW4JQFtRpkVvfZGzK5VV5TmLXSruZbYmJyy8YDsl3NhISd2+dsT4Tju27AXsybWmbbj9bHfHnBMHEEQQrTqnVHfp8aOG93YqoTcd773xT1YccM0eEs8jttoRxBSsIhJpfRuyZVB7DrWn/W7rx/oxecvPAcvv3Miz2dudZBvc0oMS/ErQRQv1Y1NGNv0GbuHQeiE969iPrI92IDFbc3YcagPne3NeHbbkTyfuL27D16PB2sWtRoah1n+jPwT4WbsiPPMzllFYhx297A5iZ07P3joSxdi+YY9WZtUnZhrJ4zhuMXukZERZtf6wQ9+gN/+9rd455134PP5EA6HmV3bLlj1E9GSEDC7h4kW48wHWLMm1qGrpz/P8KkxrlaVuyMIPThtc4kSrIMrI/Ym164d6o3mLXSrvRaP0zYekP1yJqzkxI6eYUKbs+tYP1afSURsz9lIZkS+qBca4WSslk8lOw7A8MZWMYT+utLnlfzOWw+GcPxUDHe8sJMm/0TRIBd/p0ZGMkl6YVnWhupybO12rm9zUgxL8StBEIR7kfKR27r74AHw629chsRwKmsBSYhRn2imPyP/RLgVu+I8s+fOoSiHlZv3i+al2oINeHT+dN3Vm5a/tDfrwCQ/5ntf3IPHbpqOusoy0vkCwHGL3SzhOA633HILLrvsMjz77LN2D4cJdvQTMfOeWoyzMMBaPHeyoUDKzBLMBGEENy0KmRFcsbQ3Rq/l1I0HZL+cBUs5UZLZcJzTPU4phDYnxqWwbH0XOtub0dnWjMRwGlMCVRhXW2FIvqgXGuFk7JBPOTt+qDfKPA7I9ddPf3W27O8nhtOZ+zlxox1BsEYu/t7e3YclVwTx1X9/K/OztmAD2s8LyF7TTt/mxBiW4leCIAh3Iucjt3b3YfHpIcVr6PWJVvgz8k+E27AzzjN77jwwlBTNS5WXlqDreBgDcQ6A9tbHsnbsYAjdvVG8sOMobfQuAAp6sfuRRx4BADz//PP2DoQhdvQTMeueWo2z0DDxSTgp1BhXM0owE4RR3LIoZFZwxdLeGL2WkzcekP1yDizlRElmE8k0IjG2cpdrc2Jc9q78jUvmGr4f9UIjnIxd8illx1nHAWL+ury0RPZvhJ/b7e8IwgqU9C4Sz/6cXwCXw07f5tQYluJXgiAI96HkI/mFKDn0+kSr/Bn5J8JN2BnnmT135q+fm5fiWXDRBF3XVWPHaKN3YSDvjQjHwfcTEcOsfiJm3VONcRYiNExmBVIEYTduWRTSqr9qYWlvjF7LLRsPCHthKSeBah86JGS2LdiAHYf7dOuWFFbYHDtiF4JQi9Pkk7VOivnrruOjfdDEaAs2oOt4OOtn5O+IQkdJ78Tmnn883Cfps+32bRTDEgRBEKxQ4yPlYksjPpH8GUHkY6demD13Nuv6amN9I/lswhnQYncOiUQCAwMDWf85Cb6fSK7im9lPxKx7ajXOQsNkViBFuBen665anJZ0l8Ks4IqlvTF6LbdsPHA7btddlnJS6/fh4RsvzPNvbcEG3N7WjHXbjjCfuFhhc+yIXQhzcbveCnGafLLWSTF/vW7bEdze1ixra4SQvyscCkl3WSKnd2IbQIBRPXr4xgsdYzuEUAxbeJDuEoQ7KQTdVeMj+diyI8jWJ5I/I+zA6Xprp16YPXc26/paYn3aRONuHFfGfNKkSSgrk1bKhx9+OFOeXIq3334bc+bM0XX/VatWKV7fbuzoJ2LGPbUaZ94wvXkwhHXbjmD1olYAo2XkeOSMXyTGIRTlMDCURE1lGQJVVKbGCqx67m7QXTXwjv2+F/fgzZxe2HYnzoSYGVyxtDdGriW0Obk4aeOBHCz0z2wddrvuspSTSIzDcCqN1qb6vN5Ey9Z3IcalmE9c1NgcFjJAvdAKC7frbS565dMM+8g6DhDz18I+aCuun4YYl8JQMoUdh/sytkZ4Xzf4O0Idhaa7rJDSu46WAG6bOxnL1nfl/U2MS8EDONK3uTGGLaS5uhnfhXSXINxJIeiulI/kN0nyseOy9V14dVk7Umkw84l2+DPWNryQ/Fux4HS9tTvOMzu3I3V9ADjUGxXVJSU9U2PHeGgTjbvxjIyMjFhxo7fffhvpdBqXXnpp1s/feusteL1e1YvToVAIoZB46VyeyZMno6KiIvPv559/Ht/5zncQDocVr59IJJBIJDL/HhgYwMSJExGJRFBTU6NqjIQ6IjEOd6/vkjTOYj0SToTjGcPk93nR2d6MuVMaUF5WgrpKn6RxPRGO5/UrnNcSwBMLZ2J8XSX7L0cAsPa5F5ru8o7aSYkzIXr0140IbQ4Pv+AwzuG2g4X+WaHDhaC7LOSEf9azJtahq6c/ayOX8Jpm6ZaUzSH/SYhRCHprFLN1g1UcEIlxWLq+S7T1SEdLAGvP2BQ3+ztCPaS78uTqXXVFKR54aS9eP9Cb97tOj3fdpNOFFGuY9V1Id9mwe/duXHzxxbjm/ucwtukzTK999K3X8Na6R9D+nZ9hwtRWV1zbjWMGgFM97+P1H9yOXbt2Yfbs2UyvzZpC0t1IjEPv6QR6TsUAIHOim98kaZZftNKfsbbhheTfigk36K2b4jwWSOnSkwtnYgRQrWd22THCOiw72f3tb38b//zP/5y32P3hhx/iySefxFtvvaXqOoFAAIGAeNkBFpSXl6O8vNy06xOfoufkip7dQ5EYl2f0gNE+DPe9uIeMmElY/dwLTXdr/c5a3M7FLSfQjeLW06gs9M8qHS4E3TUqJ8JnvetYv+bKJSwQsznkPwkpCkFvjWCFbrCMA759ZRDpkZEsm9IWbMC3rwxm/u1Wf0doo9h1VwkxvXtk/nQkht0X77pFpwsp1jDzu5DuEoQ7KSTd5X1kVXmppXkgq/wZaxteSP6t2HCD3rolzmOBnC79/q+f4NU9J7G1W52e2WXHCOuwbLF7//79ojvuWltbsX//flPu2dPTg1OnTqGnpwepVArvvPMOACAYDKK6utqUexLa0GOctSb/QlFO9DQLMGr8QlGODJkJ0HMvfIoluHL6xgMxWOgf6bA2jMiJ8FkLywvzpcynBKowrrbC8udNMkAQ4rhJN0JRDp3Pv51lU/j2CJ3Pv41XlrZnxupGf0cQZuPmeNcNOu0me6pEIX0XgnADBw4cYH7NQCCApqYm5tctJOzwi1b4M9Y2nHwCYTZuiPNYIKdLjWPK8xa6eeT0zM3xPSGPZYvd5eXl+PjjjzFlypSsn588eRKlpeYM48EHH8QLL7yQ+Xdr6+hJqf/3//4frrjiClPuSWjHbOM8MJSU/fy0wueEPui5FwfFEly5DRb6RzpsHbnPOsalsHZLd+bfG5fMtUXPSAYIQhw36cbAUDLPpghx0lgJwqlQvGsebrKnShTSdyEIJxOP9AHw4Gtf+xrza1dW+vHeewdowVuBQvSLrG04+QSCYIOcLiWG07J/K6dnhWjHCAsXu6+55hosX74cmzZtQm1tLQAgHA7j+9//Pq655hpT7vn888/j+eefN+XahHuoqSiT/XyMwueEPui5E4R9sNA/0mHrcOqzduq4CMJu3KQbbhorQRDFRyHZqEL6LgThZJKx0wBGcNGt9+Ks5guYXXfg5FG8te4RhEIhWuwuQljbcPIJBMEGOV0qLy2R/VvSs+LDssXuH//4x5g3bx4mTZqUOWH9zjvv4Oyzz8b/+l//y6phEEVIoNqHeS2BrD4MPPNaAghU0y4eM6DnThD2wUL/SIetw6nP2qnjIgi7cZNuuGmsBEEUH4VkowrpuxCEG6hubMLYps/YPQyiQGBtw8knEAQb5HSp93SC9IzIQn77A0MmTJiAPXv24Ic//CGmTZuGiy++GP/6r/+KvXv3YuLEiVYNgyhCav0+PLFwJua1BLJ+Pq8lgCcXznR1yYpIjMOh3ii6evpx6JMoIjHO7iFlKOTnThBOQswOsNA/0mHrcOqzlhvXo/On42jfoON8D0GwQCm+cqrOiuGmsRIEUXyYZaPsmCeTvSUIgnAvWm14Ic0XCMLJyOnSleef5So9c/I6TqFg2cluAKiqqsI3vvENK29JEACA8XWVWLOoFaEoh9NDSYypKEOg2t29GU6E47j3xT3YKti9NK8lgCcWzsT4ukobR/YphfjcCcJJKNkBo/pHOmwdTn3WueOq9HmxuyeML67eihiXAuA830MQRlAbXzlVZ8Vw01gJgig+WNsoO+fJZG8JgiDci1obXojzBYJwMkq65AY9c8M6TiFg6WL3oUOH8NOf/hQHDhyAx+PB1KlT8Q//8A8477zzrBwGUaTU+vUZukiMQyjKYWAoiZrKMgSq7DeYkRiXZyAB4M2DIdz34h6sWdRq+xh59D53giDkUWMHeEYAwKPvPqTD1uGEZy3l82r9PkRiHJau73KF7yEIPcjZ1Yc27cNjC2YgOjScpR/nNVbbNFptOMG+EARBSKHGRqmZlzthnkz2liAIwr2I2XCh/6kuL8XOY/3Ydaw/63ek/Az5BMLpOHHdQww5XXK6njkhPi0WLFvsfu2113DjjTfioosuQltbG0ZGRrBjxw5ceOGFeOWVV3DNNddYNRTTcYuRIJRx6q6bUJTLM5A8bx4MIRTlSOZcBtkNQitydmDnsX70x5JYsWmf4+wX4VyUfJ6S7+kbHC3BRLaMsArWvlNKxv0+L/7ukiZ87/++g63dfZmfk00liGwoniXMQu28nObJBEEUK+SDzUHM/7QFG7B6USuWre/KVDsDyM8Q7kBoK6p8pdjV04+Vm/dT5T4TofjUOixb7L7vvvvw3e9+F0888UTez++9996CWex26uIooR0n77oZGErKfn5a4XPCWZDdIPQgZwc625uxYuPerEUZwBn2i3AmanyenMz5fV6MAHknv8mWEWZhhu+UkvHO9mY8t/0ItpNNJQhJKJ4lzELLvJzmyQRBFCPkg81Byv/wc4LO9mas3dKd9Rn5GcLJqNm8QXNc9lB8ah0lVt3owIEDuOOOO/J+3tnZif3791s1DFNRmoRR03l3oWbXjV3UVJTJfj5G4XPCOZDdIPQiZwdaJ9blLXTz2G2/CGeixufJyVxnezMezqkkwP8t2TKCNWb5TikZb51Yl7fQLbwn2VSi2KF4ljATLfNymicTBFFskA82Dzn/s727D60T6/J+Tn6GcCpymzee234Ene3NmZ/RHJctFJ9ah2WL3WeddRbeeeedvJ+/8847aGxstGoYpuLkxVFCO07edROo9mFeS0D0s3ktAQSqaeeVWyC7QehFzqyFRi8AAQAASURBVA4oQbsGiVzU+Dw5mZs7pYE2WBCWYZbvlJLxxHBa9u/IphLFDsWzhJlomZfTPJkgiGKDfLB5KPmf3DkC+RnCyWjdvEFzXHZQfGodli1233XXXfjGN76BJ598Elu3bsW2bdvwxBNP4Jvf/Ca+8Y1vWDUMU3Hy4iihHSfvuqn1+/DEwpl5hnJeSwBPLpxJZUZcBNkNQi9yduDcevlSZbRrkMhFjc+Tk7nyUvmQkmwZwRKzfKeUjNdVOjcmJAgnQPEsYSZa5uU0TyYIotggH2weSv5HOAcmP0M4Ha2bN2iOyw6KT63Dsp7dK1aswJgxY/DjH/8Yy5cvBwBMmDABDz/8MJYtW2bVMEzFyYujhHb4XTdviux6MmvXTSTGIRTlMDCURE1lGQJVPkmDN76uEmsWtSIU5XB6KIkxFWUIVEv/PuFMyG64Gy06awZSdgCA5faLcDZKsqrW50nJnNKJAbJlBEvM9J1iMl5dUWrIptrtKwjCbCieJbSg1SZqnZfTPJkgiGKCfLA2tPggJf8TPKsaG5fMJT9DuAKtmzcob8gWNfEp5Q2MY9li99DQEL75zW/iu9/9Lk6fPo0jR47gjTfewAUXXACPx2PVMEzFjsVRwjz4XTf3vbgn652atevmRDie1ztjXksATyycifF14qc0a/1k9NwO2Q33okdnzUDKDlhpvwhno0ZWtfg8KZkjW0ZYhdm+U0zG9dpUp/gKgjATimcJteid82q1wTRPJgiiWCAfrB6tPkjJ/4yrq8QkVFkydoIwipytaAs2oOt4GADlDc1ELj6lvAEbLFvsnj9/Pm6++WZ861vfQiqVwuc//3mUlZUhFArhJz/5Cf7+7//eqqGYhtWLo4T5WLUrPBLj8gwaMNpf574X92DNolaSnwKF7IY7cYPO0qkWAtAmq0ZkhmwZYSV2yJse/XCDryAIFpAPINRgxCZSXEsQBCEO+WB16PVB5H+IQkHOVjw6fzoG4hwWXDSB5NsGKG/ADssWu3fv3o1/+Zd/AQD85je/wdlnn42uri68+OKLePDBBwtisRsgJ1iIWLErPBTl8gwaz5sHQwhFOZKhAobshvtwi87SqRZCq6wakRmyZYSV2CFvWvXDLb6CIFhAPoBQwqhNpLiWIAhCHPLByhjxQeR/iEJB3lZQlQK7oLwBOyxb7I7FYhgzZgwA4L//+79x8803o6SkBH/zN3+DY8eOWTUMSyAnSGhlYCgp+/lphc8J90N2w12QzhJuwWpZJVtGWInT5Y18BVFsOF0nCXshm0gQBGEe5IPlIR9EEKOQrXAeZJ/YUaL8K2wIBoPYuHEjjh8/jtdeew2f//znAQC9vb2oqamxahgE4UhqKspkPx+j8DlBENZCOku4BZJVgrAP0j+CIIhPIZtIEARB2AX5IIIgnArZJ3ZYdrL7wQcfxK233orvfve7uPrqq3HZZZcBGD3l3draatUwCMKRBKp9mNcSyOqZwTOvJYBANe24IggnQTpLuAWSVYKwD9I/giCITyGbWHj09PQgFBIvu2mEQCCApqYm5tclCKJ4IR9EEIRTIfvEDssWu//2b/8W7e3tOHnyJGbNmpX5+dVXX40FCxZYNQyCcCS1fh+eWDgT9724J8uwzWsJ4MmFM6m8CEE4DNJZwi2QrBKEfZD+EQRBfArZxMKip6cHF1wwFfF4jPm1Kyv9eO+9A7TgTRAEM8gHEQThVMg+scOyxW4AOOecc3DOOedk/eySSy6xcggE4VjG11VizaJWhKIcTg8lMaaiDIFq6qNBEE6FdJZwCySrBGEfpH8EQRCfQjaxcAiFQojHY7i08yHUjJvM7LoDJ4/irXWPIBQK0WI3QRBMIR9EEIRTIfvEBksXuwl3EIlxCEU5DAwlUVNZhkCVeYpl5b3cQK2/uL8/QejFaluSe7/mQBXpLqELq2RXjX8hn0wUI1bIvZL+ke4RRGFgpy67yY7QnLewqBk3GWObPmP3MAiCsAi9/sYpfop8EFHsOEUXjVAI30EMsk/GocVuIosT4TjufXEPtuaUTHhi4UyMr6t07b0IgihcrLYlZLsIVjhJlpw0FoKwCifIvRPGQBCEcezUZbIjBEEQhBXo9TfkpwjCGRSCLhbCdyDMo8TuARDOIRLj8owFALx5MIT7XtyDSIxz3b0iMQ6HeqPo6unHoU+iTL8DQRD2Y6XdsuJ+ZLOKB6tlV46PB4Zw72/+4oixEIRVyOngvS/uwV8/Pm26HXaSHSAIQj926rJT7AjFsARBEIWNXn9DORSCcAZadNGpeuWUuJdwLnSym8gQinJ5xoLnzYMhnIwM4XBokEl5CKV7haKc4bINtNOHIAofFrZES/kbM20X2aziwgo/qIYT4TiOhgaxtbvP9rEQhJnk2vp0ekRSB7ceDOH4qRjueGGnqXbYKXaAIAhjaNVllqUXnWBHKIYlCIIofBRzxgNDAJDncyiHQhDOQK0uOk2vhHFzpc9re9xLOBs62U1kGBhKyn5+ODSIBU/vwNU//gPuXt+FE+G4afc6rfC5ErTThyCKA6O25EQ4jqXru3D1T/6gyr6ZZbvIZhUfZvtBNfByF47bPxaCMBMxW99zKib7N4nhNABz7bAT7ABBEMbRostaY0+W9zYDimEJgiCKA8Wc8SeDov6McigE4QzU6KLT9Co3bj78yaDs79P8maDFbiJDTUWZ7OflpZ+Ki1Ejp3SvMQqfK6FmtxLh3LIkBKGW6nL5AiVytkRPEGeW7SKbZR5OtXNm+0E18HIn9O9iVCnoGUE4GSlbr0Ru3GuGHZayA36fF0uvCqKizOs420UQRD5qfboZCUS74wmKYQmCIIoDNTljMX9mlp/qPZ0g/0MQGhDqIj/ffPa2OXj6q7OxbvFnUe/3OSquE4ublXJXVuTRCGdDi91EhkC1D/NaAqKftQUb0HU8nPUzI0ZO7l7zWgIIVBsrOWH3Dnc3wPpUAUFYzYlwHDuP9aMt2CD6uZIt0RPEmWW7yGaZg5PtnNl+UA283HUdD0vqUVuwAT4vhYuEe5Gy9Upynxv3mmGHxeyA3+fF6kWt6Orpxxf+davjbBdBEPmo9elmJBDtjif6FRboKYYlCIIoDNTmjHP9mRl+6kQ4rlilifwPQWTD66JwvnnHCzux5Je70fn821ixaZ+j4jqxuFluDm9VHo1wNpS9JDLU+n14YuHMvCCkLdiA29uasW7bkby/0WvkpO41ryWAJxfOlO2voOaUnt073J2O08qSEIRWeBleuXk/bm9rzgt2lGxJJMbhlI4gzojtkoNsFnucbufMkiUeLb5y3bYjonrUEQzg9rZmROLkEwj3IrWZiJf7DpVxrxmnrMXsQGd7M57bfgTbu/uyftcptosgiHzU+nSWmxt5P3+0bxCPzp9uWjyhNAbuTMsHKSiGJQiCKAy05Iz7Y1wmbgbAdN7Lz/OVIP9DENnwOrzihmmS800nxXVicbNU7kpoT5xa3ZGwBqpLaSGRGIdQlMPAUBI1lWUIVPlMnXzqYXxdJdYsakUoyuH0UBIVZV5s3nsSy9Z3Ical8n7fiJHLvdeYijIEquWfyYlwPG/xYl5LAE8snInxdZWZn/G7ld4U2TlPO33UnSpwmmwS4rjBrpiBUIaXre9CZ3szOtuakRhOo7y0BMGzqjFOYBOE8HZk8dzJsveQsm96bJcSZLPY4wY7Z4YsAfp8Za4e1VaWYSiZwt3ru/DK0nZD4yEIOcz2Y1KbiWJcCsvWd+E/l3VgOD2CSDyJoWQKOw735cW97cEGbN57Emu3dAMQ1ye9iMXe/H1ycYrtIggjFGrsqsans9rcmOvn/T4vVtwwDfdfPxVxLsUsnlAiFOWw43Af2oINeQlTAOigGJYgCMJUrPapvK87GRnC4dAgyktL0HU8nBc7R+JJ3PHCTgCfLkKxmvfy8/xZE+sk/Q/lUAhCnPF1lZgzqR7LN+wV/XzH4T50tAREc2lq9IqlTRKLm/k5fGd7M1ZcPw1Dyey4V20ujChcaLHbItykbLX+Tw1RJMZhz/Gw6EI3i+BBeC8llE7prVnUmrkWv1vpvhf3ZC0eWbHD3Q1QyeTCwE12hTVCGY5xqbyFgY1L5mISqvL+TmhHjEyOtNguNZDNYo9b7BxrWTLiK3k94nfnL1vfhdlNdagoo0JAhDlY4cfkNhPNmVSPOn9ZRidOhOP4tz8cylvoXnxGH3jE9MkIQjvQ1dMv+7tOsV0EoYdCj12VfDqLzY1ifj7GpbB8w17Mawkws0tqGBhKYt22I1i9qBUAsmLqtmADHrnxQophCd0cOHDAFdckCLuwy6fydv3xVw+I+rPcdkBvHgzh3jNx83mN1Ybvz8/zpfxPB+VQCEKWaGJY8rN1247glbvb8cjL72rOTbK2SVJxc4xLYc/xMO5qb84aj5ZcGFG40GK3BbhZ2Zy0AKP1lJ5ZJ+YKASqZ7H7cbFdYoFeGhXZEanJk1wIz2Sy2FKud0+srPxoYwgf9o/2A+d35rU11WNzWjIdffhc/umUWySLBFKv8mJZYVkuFI7NOWRer7SIKn2KPXQE2c2snVa6pqSjLOmEjrLIkXOggCC3EI30APPja175m2j2SCSppSrgbu32qlD8TbprOHRcr/8THylL+R67KH0EQ8vPNGJeCB9CcmzTDJmmNm50UIxP2QYvdFuB2ZXPKAoyeU3p6T8wVank9HiqZ7H7cbleMoleGc0+E506OJjf4MaGu0rZnJ2WzCt0mmYGZds7J70Ovr+wb5NB1PIzWiXWYNq4Gaxa1ZpWkK3SbQliPlX5MSyybe8paqqQ4oP+UtZwNoRiNKFSKPXblMTq3dlLlGqG9yrWV81oCuKu9OetnTo6fCOeQjJ0GMIKLbr0XZzVfwPTaJ/f+EftefgbDw9Kn2gjCDTjBp+b6M19pCV7d95FkG0xW/knoe3Kr/M1rCWDl/Ono6uknP0MQOfBxWGpkRLZUecMZvdGiO2bZJC1xs5NiZMI+aLHbAgpB2ViXWdWDVSddCr28HuCsE/uEPgrBrhhBrwzn2pHcydEb91zuOPkvBptkBmbZOae/D72+MhJPmrKoRxBSWO3H9MSyZsSeSjaEYjSiUCn22FWIkbm1k6o/aLFXTo+fCOdR3diEsU2fYXrNgZNHmV6PIOzCKT5V6M8O9UZl55Os/JOU7+loCWDJlUFct3prZrGd/AxBjCKMw/w+L1YvasXIyAi2MapyaaZNUhs3OylGJuyDFrstgJSNDVacdLG7FJCVOOXEPqEPsiv6ZNhtJ+aKySaZAWs754b3oVfGyaYQVuMGmWPtM9TaEIrRiELEDTrvBpwWy6qxV26InwiCINyEE32qlf4p1/dUlZdi57F+dD7/dtapcvIzBJEfhwmrXC65IoiKMi9qK43NN51gk5wWIxP2UGL3AIoBXtnEIGVTD797L/dZsjzpoqbsRiFR6/fhvMZqXNRUj/Maqyn4cxFkV0bRKsNW2BGWFJtNMgOWds4N70OvjJNNIazGDTLH2mdosSEUoxGFhht03g04MZZVslduiJ8IgiDchBN9qtX+Seh7SjweLN+wV7R8OvkZotgRi8P4Kpe3/vtbqK0sMzzfdIJNcmKMTFgPney2ACpHyA6zT7qwLLtBPckIMyG7oh83nZgzapPIDrHFKeXiAPl3q0fGyaYQVuMGmYvEOAwlU3jghmlIj4wglkgZ2vXuJBtCEFbjBp13C26KZQFzbR/Fusr09PQgFBLfbGCEAwcOML8mQRDqcKpPtcs/sfAz5E8IuzBb9qyYgzrFJrktRibYQ4vdFkHKxg4z+4ezKrtBPckIKyC7oh8z7QhLjNgkskPscUJpJkDdu9Uj42RTCKtxsszJ6Zmby7sRhJ04WefdhltiWcA820exrjI9PT244IKpiMdjpt0jmaATkwRhB071qXb4J6N+hvwJYRdWyJ5Vc1Cn2CQ3xcgEe2ix20JI2ZwPi/4O1JOMsBKyK4WNXptEdsgcnNADyOx3SzaFsBonypxZeuYEG0IQduNEnSfMxQzbR7GuOkKhEOLxGC7tfAg14yYzvfbJvX/EvpefwfDwMNPrEgShHvKpoxjxM+RPCLuwSvasnIOSTSLshha7GUClTgoHFmU31PQkI/lwBqS7hNPRa5MK3Q7ZpbtOKM1U6O+WIJwAaz3jbVY0kcSj86fjwU37HFVykiDkoHiZMIoZ8RPFQ9qoGTcZY5s+w/SaAyePMr0eQRCjkN/VjhE/Q/6EsAurZM8Jeaxihmy6tRTsYvfRo0excuVKbNmyBR999BHGjx+Pr33ta7j//vvh87ETKCp1UngYLbtB/RjdAeku4Rb02KRCtkN2667dpZkK+d0ShFNgqWe5Nsvv82LFDdNw//VTEedSjik5SRBi2O1zicKBdfxE8RBBEIUI+V396PUz5E8Iu7BS9uzOYxUrZNOtp2AXu9977z2k02n8/Oc/RzAYxL59+3DXXXdhcHAQP/rRj5jcg0qdFC5Gym5QP0bnQ7pLuA2tNqlQ7ZBTdNfO0kyF+m4Jwkmw0jMxmxXjUli+YS/mtQQo3iAcjVN8LlE4sIyfKB4iCKLQIL9rHD1+hvwJYRdWyx6VGLcWsun2UGL3AMziC1/4Ap577jl8/vOfx5QpU3DjjTfie9/7HjZs2MDsHmrKTRDFB98LQwzqx+gMSHeJQqdQ7RDpbuG+W4JwEqz0jGwW4WZIfgknQ/EQQRCFBvldeyB/QtgFyV5hQzbdHgp2sVuMSCSCsWPHMrselTohxOB7YeQ6LOqF4RxId4lCp1DtEOlu4b5bgnASrPSMbBbhZkh+CSdD8RBBEIUG+V17IH9C2AXJXmFDNt0eCraMeS6HDh3CmjVr8OMf/1j29xKJBBKJRObfAwMDkr9LpU4IKagXhvWQ7hJENm6xQ6S72nHLuyUKFy1661ZY6BnZLMJpkM8lColiioeKwe8SRCFCftcdFJM/IZSx0ueS7BUuZNPtwXUnux9++GF4PB7Z/3bu3Jn1NydOnMAXvvAF3HLLLbjzzjtlr79q1SrU1tZm/ps4caLk71K5CUKMSIzDod4oDocGAQ/QHKjCeY3V5KhMhnSXIPKp9ftwXmM1Lmqqx3mN1QCAQ71RdPX049AnUURi9pfNKSTd5e2/Fc83992SjyGsRIveuhkpPVOr6063WUTxUUg+lyCAUTsdqPZhTEUZBoaSCA1yjohvWVMsfpcgCg3yu+5jBAA8do+CsBOrfW4x5HaszJU5BbLp9uC6k91Lly7FV77yFdnfmTx5cub/T5w4gSuvvBKXXXYZnnnmGcXrL1++HPfcc0/m3wMDA5JGjS83cd+Le/CmoAY/lZsoXk6E47j3xT1ZPRnmtQTwxMKZGF9XaePICh/SXYKQx6n2qVB016nPlyDMQIveFhpadN3JNosoTgrF5xIET7HEX8XsdwnCzZDfdQfF4ksIdZDPZUux6hfZdHtw3WJ3IBBAICC+KyKXDz/8EFdeeSUuvvhiPPfccygpUT7IXl5ejvLyctXjMaPcRCTGIRTlMDCURE1lGQJVVL7CDURiXJ7xBoA3D4Zw34t7sGZRK71HE3GC7rodsj2Fi5PtUyHorhOfL+kzYSZa9dYM7JBxPbruRJtFFC9u8bnkwwg1ODH+Mgsn+F2CILRjpt8lX8mGYvIlhDrI57JDrX4Vqj2jXID1uG6xWy0nTpzAFVdcgaamJvzoRz/CJ598kvnsnHPOYXqvWj87IS3W3S6FQCjK5RlvnjcPhhCKcmTMHAZL3XU7ZHsKm0KzT07TXac9X9JnotCxS8b16rrTbBZBaMFq+SUfRqjFafEXQRAEC9T4XfKV7CBfQhDmoaRffYMcBrlUQdszygVYi+t6dqvlv//7v9Hd3Y0tW7bg3HPPxbhx4zL/ORWl3S7F0M/AzT0cBoaSsp+fVvicIOyCbI87MGIfyT6Zi9rna4WPI30mCh2rZVyot4nhFJZeFYTf5xX9XbKlBGEM8mHOwC1zcopvCYIoRgrNV9rtc8iXEMWOmTqopF+p9EhB2TPCfgr2ZPfixYuxePFiu4ehiWLfTeb2nYk1FWWyn49R+Jwg7KLYbY8bMGofyT6Zi9Lzrakss8zHkT4ThY6VMi6mt23BBqxe1Ipl67sQ41JZv0+2lCCMQT7Mftw0J6f4liCIYqSQfKUTfA75EqKYMVsHlfQrlR4pGHtGOIOCPdntRop5N1kh7EwMVPswr0W8n/y8lgAC1WScCWdSzLbHDbCwj2SfzEXp+VaVl1rm40ifiULHKhmXsr3bu/vw3PYj6Gxvzvo52VKCMA75MHtx25yc4luCIIqRQvGVTvE55EuIYsUKHVTSrxg3LPv3brFnhHOgxW4HUcy7ydTsTHQ6tX4fnlg4M8+Iz2sJ4MmFM2knEuFYitn2uAEW9pHsk7koPd/o0LBlPo70mSh0rJJxOdu7vbsPrRPrMv8mW0oQbCAfZi9um5NTfEsQRDFSKL7SKT6HfAlRrFihg4r6VSmvX26xZ4RzKNgy5m6E3+3ypoihKfTdZIWyM3F8XSXWLGpFKMrh9FASYyrKEKj2UXBEOJpitj1ugJV9JPtkLnLPt6unX/ZvWfo40mei0LFKxpVsb21lGTYumUu2lCAYQj7MXtw4J6f4liCIYqNQfKWTfA75EqIYsUoH5fQrEuMKwp4RzoFOdjuIYt5NVig7E4HR93heYzUuaqrHeY3VBf3eiMKgmG2PG2BpH8k+mYvU87XSx5E+E4WOVTKupLf1fh/ZUoJgDPkwe3HrnJziW4IgiolC8ZVO8znkS4hiw+o8lZh+FYo9I5wDnex2GMW6m6xQdiYShFspVtvjBsg+uh+r3yHpM1HoWCHjZHsJwh7Ih9kH2T2CIAh3UAi+knwOQdiLU3SwEOwZ4RzoZLcDKcbdZLSThyDspxhtjxsg++h+7HiHpM9EoWO2jJPtJQj7IB9mD2T3CIIg3IPbfSX5HIKwFyfpoNvtGeEc6GQ34RhoJw9BEIQ4ZB/dD71DgnAfpLcEQRQbZPcIgiAIqyCfQxD2QjpIFBq02E04ilo/GVSCIAgxyD66H3qHBOE+SG8Jgig2yO4RBEEQVkE+hyDshXSQKCRosZsgFIjEOISiHAaGkqipLEOgipwAQRDugOyXc6F3QxDmQfpFEARRWJBdJwiCIFhA/oQg2EI6RTgJWuwmChYWxvZEOI57X9yDrQdDmZ/NawngiYUzMb6ukvWQCYIgmHEyHMfv//oJGseUIzGcRn8siT8fOYUrzj8L44rAfjk54CbfQhDmoUe/nGwvCIIgChW1tpfiJoIgCEINSn6F/AnhFApl/kk6RTgNWuwmChIWxjYS4/KuAQBvHgzhvhf3YM2iVlc6IoIgCp9IjMOxUzFs3nMC27v7Mj9vCzagOVAFv89b0PbLyQE3+RaCMA89+uVke0EQBFGoqLW9FDcRBEEQalDyK+RPCKdQKPNP0inCiZTYPQCCYI2SsY3EOFXXCUW5vGsIrxWKqrsOQRCE1YRjSazZcjBroRsAtnf3Yc2WgwjHkjaNzHxY+QCzIN9CEOahVb+cbi8IgiAKES22l+ImgiAIQgk1foX8CeEECmn+STpFOBFa7CYKDlbGdmBIfjHotMLnBEEQdjHIDectdPNs7+7DIDds8Yisw+kBN/kWgjAPrfrldHtBEARRiGixvRQ3EQRBEEqo8SvkTwgnUEjzT9IpwonQYjdRcLAytjUVZbKfj1H4nCAIwi4GuZTs5zGFz92M0wNu8i0EYR5a9cvp9oIgCKIQ0WJ7KW4iCIIglFDjV8ifEE6gkOafpFOEE6HFbqLgYGVsA9U+zGsJiH42ryWAQDX1nSAIwpnUVcrbuVqFz92M0wNu8i0EYR5a9cvp9oIgCKIQ0WJ7KW4iCIIglFDjV8ifEE6gkOafpFOEE6HFbqLgYGVsa/0+PLFwZt615rUE8OTCmaj1k9EmCMKZNI4pR4eEHexoCaBxTLnFI7IOpwfc5FsIwjy06pfT7QVBEEQhosX2UtxEEARBKKHGr5A/IZxAIc0/SacIJ1Jq9wAIgjW8sb3vxT14U9AHQ4+xHV9XiTWLWhGKcjg9lMzsBiSDTRCEk6n1+/AkIzvoNlj6ALMg30IQ5qFFv9xgLwiCIAoNrbaX4iaCIAhCDrV+hfwJYTeFNv8knSKcBi12EwUJS2Nb6ycjTRCE+yjmoNMN3518C0GYhxb9coO9IAiCKDS02l6KmwiCIAg51PoV8ieE3RTa/JN0inAStNhNFCxkbAmCKHaK2Q4W83cnCEIbZC8IgiCsh2wvQRAEwRLyK4RbIFklCHOgnt0EQRAEQRAEQRAEQRAEQRAEQRAEQRCE66DFboIgCIIgCIIgCIIgCIIgCIIgCIIgCMJ10GI3QRAEQRAEQRAEQRAEQRAEQRAEQRAE4TqoZ7cCIyMjAICBgQGbR0IQxc2YMWPg8XhU/z7pLkE4A9JdgnAfpLcE4U5IdwnCnZilu9FoFAAQ+eAw0sMp/QMUu3bvh6Nj+OgoysvLHX9durZ113XrtU9/dGz0+tGoar9Ifpcg3AfpLUG4EzW66xnhNZYQ5YMPPsDEiRPtHgZBFD2RSAQ1NTWqf590l/j/2fv3+KjKc+8f/ySTTDKTkEnIEAQlEJmonAlF3SUJKq3trqKIbHeLdn+BqPvXbZHdx929lSoHD5XS8w+prX1q0L525em3FUStbZ9WWiWxWpVsAUUlEAgtaMyYTMjMZNacvn/AGtfMrPN5zVzv16uvymRmrXvd674O93Vf93UT9oBklyCcB8ktQTgTkl2CcCYkuwThTEh2CcJ5kNwShDORI7u02C1BKpXCqVOnFGf9OIGRkRFMmTIFJ0+eVKTknQY9Z2GgVAaNkt1C6md6FntSSM8C2Ed29aLQ3o9RUD/Jw679ZKTc2vWZ5UBttwZqu3z0kl0n97kY9FzOopieywn+stPfh9PbDzj/GQqx/XaQXaf3q1OgfjYHM/rZDnIrRrGOtWJ8bnpmZc8sRwapjLkEpaWluOCCC6xuhqHU1NQUhUDRcxYXRstuIfUzPYs9KaRnUYJT7G6xvh+lUD/Jw+n9pEZunfzM1HZroLbrj5Ts2rXdWqHnchb0XPlY6S87/X04vf2A85+hmNtvpOw6vV+dAvWzOdipn62yuXbqAzMpxuemZ9aPUt2vSBAEQRAEQRAEQRAEQRAEQRAEQRAEQRAGQ4vdBEEQBEEQBEEQBEEQBEEQBEEQBEEQhOOgxe4ipqKiAps2bUJFRYXVTTEUek5CTwqpn+lZ7EkhPUshQu9HHtRP8ijGfnLyM1PbrYHabj5ObbcU9FzOgp7LXji13SxObz/g/Geg9huDXdtVaFA/mwP1c/H2QTE+Nz2z/pSk0+m0IVcmCIIgCIIgCIIgCIIgCIIgCIIgCIIgCIOgnd0EQRAEQRAEQRAEQRAEQRAEQRAEQRCE46DFboIgCIIgCIIgCIIgCIIgCIIgCIIgCMJx0GI3QRAEQRAEQRAEQRAEQRAEQRAEQRAE4ThosZsgCIIgCIIgCIIgCIIgCIIgCIIgCIJwHLTYTRAEQRAEQRAEQRAEQRAEQRAEQRAEQTgOWuwmCIIgCIIgCIIgCIIgCIIgCIIgCIIgHActdhMEQRAEQRAEQRAEQRAEQRAEQRAEQRCOgxa7JUin0xgZGUE6nba6KQRBKIBklyCcCckuQTgPkluCcCYkuwThTEh2CcKZkOwShPMguSUI50CL3RKcOXMGPp8PZ86csbopBEEogGSXIJwJyS5BOA+SW4JwJiS7BOFMSHYJwpmQ7BKE8yC5JQjnQIvdBEEQBEEQBEEQBEEQBEEQBEEQBEEQhOOgxW6CIAiCIAiCIAiCIAiCIAiCIAiCIAjCcdBiN0EQBEEQBEEQBEEQBEEQBEEQBEEQBOE4aLGbIAiCIAiCIAiCIAiCIAiCIAiCIAiCcBy02E0QBEEQBEEQBEEQBEEQBEEQBEEQBEE4jjKrG0AQRPERijAYHGUwMhZHjacc/io3fF631c0iCEdDckUQyiCZIQhrINkjCMLJkA4jiMKD5JogCC2QDiEIe0CL3QRBmMqp4SjufvoA9h0ZzHy2uNmPb62Yi8m1HgtbRhDOheSKIJRBMkMQ1kCyRxCEkyEdRhCFB8k1QRBaIB1CEPaBypgTBGEaoQiT5wAAwMtHBnHP0wcQijAWtYwgnAvJFUEog2SGIKyBZI8gCCdDOowgCg+Sa4IgtEA6hCDsBS12EwRhGoOjTJ4DwPLykUEMjpITQBBKIbkiCGWQzBCENZDsEQThZEiHEUThQXJNEIQWSIcQhL2gxW6CIExjZCwu+vczEn8nCCIfkiuCUAbJDEFYA8keQRBOhnQYQRQeJNcEQWiBdAhB2Ata7CYIwjRqKstF/z5O4u8EQeRDckUQyiCZIQhrINkjCMLJkA4jiMKD5JogCC2QDiEIe0GL3QRBmIa/2o3FzX7evy1u9sNf7Ta5RQThfEiuCEIZJDMEYQ0kewRBOBnSYQRReJBcEwShBdIhBGEvaLGbIAjT8Hnd+NaKuXmOwOJmP7aumAufl5wAglAKyRVBKINkhiCsgWSPIAgnQzqMIAoPkmuCILRAOoQg7EVJOp1OW90IOzMyMgKfz4dQKISamhqrm0MQBUEowmBwlMGZsTjGVZbDX+3W3QEg2SWKDTPkygxIdgmzKBSZsQMkt4QSSPbsA8kuQSjHDjqMZJcg9MUsuSbZJQjnIUdu7eAbEAQBlFndAIIgig+fl4w+QegNyRVBKINkhiCsgWSPIAgnQzqMIAoPkmuCILRAOoQg7AGVMScIgiAIgiAIgiAIgiAIgiAIgiAIgiAcB+3sJghCNmxZlpGxOGo85fBXUeYaQWiBZIoglENyQxCEFKQnCILgQjqBIIoPknuCIAhCL8imOANa7CYIQhRWmQ9FGMSTKXQfDaKzqw8RJonFzX58a8VcTK71WN1MgrAVcpygU8NR3P30Aew7Mpj5jGSKKHakZIfkhiAIKQpFT1BAhSCkIZ+bIAg+pOSebCxBEIS9sZOeJl/SOZSk0+m01Y0wii1btmDXrl1499134fF4sGjRImzduhUXX3yx7GuMjIzA5/MhFAqhpqbGwNYShP3gU+atgXqsaW3Cup09mQXvR1a2ZAyOXYwRyS5hFXKcoFCEwdqdPVnf4X6XK1NysIvc6QHJbmEjNlblBKX0lBtCP0huCbvApye8bhc62pqw6MJ6VJaXwud1295OmhVQIdklnIwRPrdTfGqSXaKQ0SqHYnJ/9YwGbLpuFtbvPmjJogXJLkE4D5Jb87HT4nIowuA/fvUWLplUg5YptYglUqgsd2F//xDeOz2C7940z5a+YrFS0Du7X3rpJXz1q1/FpZdeikQigXvvvRef+9zn8M4776Cqqsrq5hGErQlFmDzDAgDdvUEAQEdbE7bv7cXLRwYxOMrA53XbyhgRhBUIyc3LRwZxz9MHMgG1wVGGd/LNfpeVKTmQ3BFOQWysVrldkrKjp9wQBFGY5OoJr9uFbStbsKO7D9v39mY+t7OdlOtLEEQxY4TPTT41QViPHnIoJvcXT6rB+l0HsO9cXIuFbCxBEIQ9sNtcKBhm8KXLGvPmk+xmwGCY4lB2otTqBhjJ7373O6xevRqzZs3CvHnzsGPHDvT39+PNN9+0umkEYXvEJgjdvUG0TKnN/PvMWFzSGIUijJHNJQhbICegBgAjY3HR65yR+DsLyR3hFKTG6sCZmKTs6CU3BEEULrl6oqOtCTu6+zLJmix2tpNyfQmCKGb09rnJpyYI69FLDsXkvmVKbd5CN/c+ZGMJgiCsxW5zoUQqzTuf7O4NYkd3H5Kpgi2a7UgKemd3LqFQCAAwfvx4we/EYjHEYrHMv0dGRgxvF0HYEanAQCyRyvz3uMpyQWPkdbswd0otTofGcGwwbFg5OJJdQi16liuUG1CrqSwX/d44ib+zFMJOV5Ld4kDKRjDJFB69ZUGmHFRnVx8iTDLzvTNjcd3khtAOyS1hV3L1RMuU2qwMfC52tZMjY/FM6fXcUnmdXX2aEntIdgmnkuuvJ9NpeN2uLF+Bi1Kf2+4+NckuUQzoJYdcuc+1pw3jKrB2SSBvrsGid/IsyS5BOA+SW2sxa5OD3FhwKpXOW+hm6e4N0mK3zSiaxe50Oo277roLbW1tmD17tuD3tmzZgvvvv9/ElhGEPZEKDFSUnS0MsbjZD3+1G8cGw3nfMbN0JMkuoQa9yxXKDaj5q91Y3OzHywLnB/qr5QXTCmGnK8luccA3VoVsRGugHttWtmDdzp5MEGpcZbluckNoh+SWsCu5eoKbnMmHHe2kz1MuqhtrPOoTe0h2CSfC56+3N/vzfAUuSn1uu/vUJLtEMaCXHLJy/8aJIdlzDRa9k2dJdgnCeZDcWosZmxyUxIIjTEL0WkKJl4Q1FHQZcy5r167FgQMHsHPnTtHvrV+/HqFQKPO/kydPmtRCgrAX7ASBj9ZAPXpODmNxsx9bV8yFz+vmNUZmlo4k2SWUYkS5QjG54QbUfF43vrVibt53uTIlh0LY6UqyWxwosRFsOaiOtiYAn8iOXnJDaIfklrAruXqCTc4Uwo52sqqiTFA3PtHdh6oK9fnqJLuE0xDy1/cdGcQTHF+Bixqf2+4+NckuUQzoJYes3G9YOlPWXIPFiORZkl2CcB4kt9YiN66qFqWxYJ9H/H4+DYnIhP4Uxc7uO++8E88++yxefvllXHDBBaLfraioQEVFhUktIwj7wk4Q7nn6QFYmfHuzH/dfPwsAcHtbUyZAwJc1b2bpSJJdQilGlCsUkhu+xbjJtR48srIFg6MMzozFMztXldyzEHa6kuwWB0ptRHdvEB2tTXmyo4fcENohuSXsDFdPpNJptDf7ee29Xe3k6FhCsFReV28Qo2MJTKxRd22SXcJpiPnrXb1B3HFlIK+CmBqf2+4+NckuUQzoKYeTaz1YOLUO63cd5P07O9fgXt+I5FmSXYJwHiS31qIkrqoGpbFgu/uIRDYFvdidTqdx5513Yvfu3fjzn/+Mpqb8rF+CIIRRsqjAZ4ycWDqSKB6MKleoVG60OGpGO4EEoRdqbITPU45HVrbkjWOtckMQROHD1RNbHWYn7V5OmSDMREoeKstdePGuKzT73ORTE4T16C2HozHx0rM+TzmeuWMRJc8SBEHYDCM3OSida5GP6CwKerH7q1/9Kp566ins2bMH48aNwwcffAAA8Pl88Hj0OyuYIAoZJYsKucaostwl+n2ry8ERxY2R5QrNXIyjna6EU1BqI+poUZsgCB1wmp20ezllgjATKXnwecoxvaFal3s5TVcQRCGipxxK6Y86r1s3/UEQBEHoi1FxVTVzLfIRnUNBL3b/+Mc/BgBceeWVWZ/v2LEDq1evNr9BBFEEcI1RKMJQqQ/CthRSKRra6Uo4BbIRBEFYgZPsZCH5JwShFbPlwUm6giAKFb3kkOwpQRAEkYta20A+ojMoSafTaasbYWdGRkbg8/kQCoVQU6PycDSCsDmhCIPBUQajsThqvW4wiRRGYwnUeMrhr1KuzLnX83nc2LjnEG+pj0m1xlVYINkl5HBqOMp7Lv2W5XNwwXhv3vfZsT0yFlctH07D7Gcm2S18zLQRoQiDgTMxDEfjqHK7UFVRhlpPecHLrdmQ3BYvoQiDoQiDMJNEJJZEjacMtV43JtZUWt00R8PnnxjhP5PsEnYmFGHw0WgMQAnuf+7trPMVzZhPctthN/+fZJewEjvJRCjCYDgSR5hJIMwkUespR8O4ikx7zLKnciHZJQjnQXJrDUbaGittA8WojIUWuyUghUYUOqeGo7j76QN488QQtq1swY7uPnT3BjN/X9zsx7dWzMVkmcqevR4bjPC6XdiwdCYWNNYiyiRNK/VBskvI5e9DEZwIRjAcjaOirBQ9J4fx3ukR3L9sdta4zx3bgHL5cBpWPDPJbmFjpo04NRzF3b8+gH29n4zf1kA97lzSjKnjvZYEuAoVktvi5PRwFCeCETzypyNZvmN7wI9vLp+NxvoqC1vnfNgAj5Gl8kh2CbvCteFetwsdbU349IX1KCstQa23HOfVVJoSFLSr/0+yS1iFnWTi9HAUJz6O4JG9OX7IuQULtj1m2FO5kOwShPMguTUfM2yNFbaBYlTGQ4vdEpBCIwqZUITB2p092HdkEGuXBNDTP5Q1SWBZ3OzHIytbJJU+93pqr6EXJLuEHOSOWTuNbbOw6plJdgsXM8dUKMJg7VM9WZMIltZAPZbOnYxrZp9XcHJrFSS3xUcowuCFgx/g+YOneH3H9kA9vvvP82mHt80h2SXsiF1suJ39f5JdwgrsJBOhCIMXDn2A5w/w+yFWy6gQJLsE4TxIbs3FTrZGT+zi3xY6pVY3gCAI6xgcZTLGo2VKLe8kAQBePjKIwVFG0fXUXoMgzETumC3GsV2Mz0wYi5ljanCU4Z1EAEB3bxAN4ypoDBOEBgZHGTTUVAj6jvt6gxgKk4wRBKEcu9hw8oUJIhs7ycTgKIOGccJ+CMkoQRCEM7GTrdETu/i3hU6Z1Q0gCMI6Rsbimf+OJVKi3z3D+a6c66m9BkGYidwxW4xjW+qZQ9HCe+Zixaxz98yUI6l7xRKpgpRbgjCLkbG4pO84MpYwqTX2w07nmRKE07CLDVfit5DME4VOKMLg44h4EN5M31qOH0K+PkEQhPOwY/xVDz/PLv5toUOL3QRRxNRUlmf+u6JMvNDDOM53hfC6XZqvQRBmUiMxJtkxK/d7hYTUM4/Fkzg1HC3Y88qLBTPP3TNTjqTuVVFWWpBySxBmUVNZjo8ldm7XVBbnVNNO55kShBOxiw2X67eQzBOFDjvGVy+aJvo9M31rOX4I+foEQRDOw27xV738PLv4t4UOlTEniAImFGFwdGAUPf1DOPrRKEI5mbj+ajcWN/sBAD0nh9EaqOe9zuJmP/zV0ud17+/Xdg2CMBuuDOTCHbNyv2cXpGRfDmLP3BqoxyvHgrjn6QOqrk3Yg1CEyXPagbOlofjerdZxZaYcSY3fgTMx28ktQTgJf7UbA2dign5fe6AedVXGyZgeds4IlOpVgiDyMdqGy9UfcvwWknmi0OGO8UOnQnh4+Ww8vmohHr1lATpXX4q1SwLwul2mz4ml/BA7ztEJgiAIaZTGjYycF+rp51GMyhyKM92eIIoAOZlHPq8b31oxF/c8fQCdXX3YtrIFALLOPVrc7MfWFXMly3MMjjJ48Pl3eK/RGqjHA8tmUyk3wnZwZeDlHFnhjnu537MDemUdss+ce63WQD3WtDZh3c4eRJgkBkcZWz0/IR85ZyGx71aPcWWmHImN3zuXNGPaeC+NW4LQgM/rxpUXTUCTvwpAtt/XHvDjm8tnY2JNpSH3tvMuSiV6lSAIfoy04Ur0hxy/5ejAKMk8UdCwds3rdmHO+T7s6OrDvpxYT+fqS033rUX9EBvO0QmCIAh5KIkbGT0v1HNuRzEqcyhJp9NpqxthZ0ZGRuDz+RAKhVBTU2N1cwhCFqEIg7U7e3gV8uJmPx5Z2ZKlQNmzJ8KxOHweN5hkCuFYAuMqy+GvlncORU//EJY/+gq8bhc62prQMqUWsUQKFWWl6Dk5jM/NaMDcKXW6PqcYJLuEElgZODMWFx33cr9nFUplXw7vf3gGJz+OZMlzZ1cfIkwSAPDMHYswv1E/2SbZNQ9WbwvBvlu9x5WZchSKMBg4E0MoGofX7UKVuwy13nJbyW0hQHJbvIQiDIYiDMJMEpFYEuM8Zajzug1b6DbCzumJXL1qF0h2CTujtw1Xqz/E/BarZJ5klzALdoyvXRJAT/9Q1qIyi5X2NxRhMByJI8wkEGGS8HnK0TCuwra+PskuQTgPkltrkIobmTEvNMLPoxiVsdDOboIoQJRmHvm82hca2LMnIkwS2/f25v19+fzzNV2fIIxErgzoIStGYsSOMldJCW598g3Bv9OZMs5F7llIeo8rM+XI7jJLEE7HbBmz+85pu50xRxBORm/9olZ/iLWDZJ4odNgx3jKlljfOA1hrf8nXJwiCKEyk9LsZ80Ij/DyyW8ZCZ3YTRAEyMhYX/fsZib+rwWlnGhNEIWKE7JNsFy5y360VNoUgCIIPu+sjspkEYV/ITyYI5bBjPJZIiX7PavtLEARBFBdmzAvJz3MetLObIAoQKzLMnXSmMUEUKkZlHZJsFyZy3y3tWiIIwi7YXR+RzSQI+0J+MkEohx3jxwfDot+z2v4ShBb6+/sxOMi/Q1QLfr8fjY2Nul+XIAhz5oXk5zkPWuwmiAKEzTx6WeDcCqMyjybXevDIyhZbn2lMEIWMUbJPsl24yHm3VtkUgiCIXJygj8hmEoQ9IT+ZINQxudYDV2kJ2pv9gmej2sH+EoQa+vv7ccklMxCNRnS/tsfjxbvvHqYFb4IwALPmheTnOYuSdDqdNuNGDzzwANra2rBkyZKsz8PhML73ve9h48aNZjRDMSMjI/D5fAiFQqipqbG6OQQhm1PDUcHMo0m1HsPvH4owGBxlMDIWR42nHP4qcw0ByS5hN8ySCatlXysku8aidhw6fVwRxkJyS5hJsegjM/wGkl2i2PjbxxGs330wa8HOifqDZJcwEiH7Uyz210hIdu3H/v378alPfQqXd2xCzaRpul135PRxvNZ5P958800sWLBAt+sS5kNya1/0sktWr2EQ+mHaYndpaSnKy8uxZcsW3HXXXZnPP/zwQ0yePBnJZNKMZiiGFFrhUIyKi31mszOPTg1HcffTB/KCCN9aMReTTZoEkewSdsIMmWDlfTQWR63XDSaRQjiWcFzWIcmucWgdh1bZFCMoRp/ASEhu7U0hjvdC0kd8mOVLk+wSVmGFXjo1HMXGPYdwyaQatEypRSyRQq2nHFPrvTi/zmvovfWGZJcwCin7o8X+FqI/ohSSXfvBLnZffe8OjG+8WLfrftz/Hv7wzTW02F0AkNxag1yboXVeaIc1DEI/TC1j/vOf/xxr167FgQMH8NOf/hRud3E5NYR1FKvi8nnNnzyEIkxeXwPAy0cGcc/TB/DIypaim9AQxY0ZMlGsOo6Qjx7j0AqbYgQkL0QxUajjvVD0ER/kSxOFjhV6iStXfzw8kPW3xc1+kiuCgHz7o0ZWCtUfIQiCIPRHic3QMi+keVfhUWrmza666iq8+uqr+Otf/4orr7wSH374oZm3J4oUKcUVijCG3ffowCh6+odw9KNRw+5jFnKfZ3CU4T3HCTjb54Ojzu4HwhwKSX6Mkgm2j97/8Azu/vVbpus4wlkUgm5Wqhf4vm+VT0AQZhOKMDgxGC5q++BUX6IQ9DVRXCiRNbl2WG/5JbkiCGnUyIkcWbXC/3aqD0AQBFHsmGkztPiHdrEzdmmHXTBtZ3dJSQkAYPr06Xj11Vfxz//8z1i4cCF+8pOfmNUEokiRo7j0ztIptKxVJc8zMhYXvdYZib8TRKHJjxEywe2jx1ctxL7eIO/3jNJxhPNwum5WqheEvn/vtTNM9wkIwmzY8b960bSitQ9O9iWcrq+J4kKprMmZm4eZpO7yS3JFENIolRO58m92TM7JPgBBEESxY6bNUOsf2sXO2KUddsK0nd3co8FramrwwgsvYPny5bjhhhvMagJRpJg9sTU6A8nsjB2lz1NTWS56vXESfyeKm0LcdenzlGPtkgAeX7UQj96yAJ2rL8XaJQF43S4AymUit49iiZTo9yl4RwDO1s2hCIONew5h3pTaLDmaO6UWm/YcytMLYnrkb0NR0XuRvBBOhzv++eyD1+3K2KRgmCnI7G+n+xJO1tdEcaFG1qTm5qFoPO+aXrcLc6fU4vhgGPtPfKxKb5FcEYQ0YnLidbtQ53VnYlFHPjyDl97/CG+eGMr6Hp/8mxmTc7oPQBAEUewosRla10jU+Id2sTN2aYfdMG1n944dO+Dz+TL/Li0txbZt29DS0oKXX37ZrGYQRYjZE1sjM5CsyNhR+jz+ajcWN/vxMs9vFjf74a8uzB1EhD5YUYnBaNyuUvT0D2H73t7MZ62Bemxb2YJf/rVfsUzk9lFFmXjeGgXvCMDZujkYZvClyxqxo7svT47WtDYhGM7WC2J6RAqSF8LpcMd/rn3wul3YtrIlT5YKLfvb6b6Ek/U1UVyokTWpubnX7cpb6NZDb5FcEYQ0QnLidbvQufpS3PfMIezr/eRv7Jx23c4eRJhk5vNc+TczJud0H4AgCKLYkWsz9FgjUeMf2sXO2KUddsO0nd2rVq1CRUVF3udr1qzBjh07Mv+eM2cOTp48aVaziCKAVVx8GDGxNSprVSxj5+6nD+BEMGxI1o7S5/F53fjWirl5fb642Y+tK+YWpaIl5GOnEoN6VFEIRRis330Q3TllZLt7g3iiuw+br5+lWCZy+6jn5DBaA/W836XgHcHiZN2cSKWxo7uPV452dPchkUxnfS6mR3pODqPdRJ+AIMyGO/5z7UNHWxOvLHGzvwvhzC87+RJqcLK+JooLNbJWXVkmaodLS0uyPpOjt+RAckUQ0gjJyYalM/Gjvb1ZC93AJ754R1tT1udetwupdDrjT5S5SkyLyTndByAIgih25Kzj6LWrWal/GIowiCWSvFU7WcyyM2Tv+DFtZ7dcjh8/jni8OF8GYQys4rrn6QNZmTpGTWyNyloVy9jZd2QQvQOjePKV47rvzFHzPJNrPXhkZQsGRxmcGYujqqIMblcpBs6MIRJPwl/lpoACwYtdSgxqyRAMRRgMjjIYGYvDk7M7hUtXbxBjcfES5Hzk9lFnVx+2rWwBgKxAIAXviFy4ujkUjcPrdqG0tATReBKhiH2zPlOpdF6Qm6W7N4h4MoVTw9GMbIrpkc6uPrywrh0b9xwyxScgCLPhjv9c+9AypTZrZySXl48M4oORMTz0m8OOP/NLypdwl5Xi6EejtvZHc33pcZXl8Ffbt71EcaLUbz81HMXGPYewatE0pNJpXr81Gk9m/UZKb0ntWuH65T5POb5z0zyMjiVIroiihysbNZ7yjE3ksz+pdBrrdx3kvU53bxAdrZ8sdrPVGB547m3sOyfj7M7wNJDnY+jtf9slnkAQBEGoQ846ztGBUd12Ncudd/HFifkqnKg5qpLPHktB9o4f2y12E4QRmBkwMqpEmlTGTiyRymQwPbKyRbdnE3ue9mY/kuk0b8DQ5z37bytKrxPOxQ4lBqUyBMXkK3e8P3rLAtF7qcm0y+2jCJPEup096GhrwlevDKCy3AWfpxzVlWUIxxLo6R9S5DAR9ketMwyc1c1hJonNz73tGL0cYRKifw9GGGz93bsZ2RTTIwun1qHOW06LSETBwh3/XPvQ0dqEKrf41O9vQ1FVts9uiOmA1kA9Xjj0Abbv7cXVMxqw+fpZGIunVOlTo2F9aYKwK0r8dq5//crRYEYvxRIp1HrKMb2hGhNrKhGKMFnXjCXEE0PFfGmxeej0hmrJ59PibxGEVcgZt1Ixmlz709OffS53Llw55avGEGGS6HjidWxYOhMbl85EOJYwzP+2QzyBIAiCUI6SBEW9dzVLzbuE4sSsretoa8L2vb2K7YyWNROyd/yYVsacIKzG53VjekM15jfWYXpDtSynWk0pR6NKpEll7LDnMrIZTHoh9DxtgXqsWjQNN/yoG5/53ku4c2cPTg1Hs76jV1kRoniwQ4lBOeee8JE73r1uFxrG5R/fwUVNph1fH0WYJA6cHEaTvwoLptbB43bh6796C0u+9xKWP/qKoIwSzuPUcBRrd/bgM99X927tqJelbK3PIy73iWQ6Szbl6BE1PgFBOIHc8R9hkti+txdPvnIcdVXqsrv18C3NLI8upANaA/VY09qEzq4+eN0ufPGyRvzX0wdU61OCKHaEZK292Y9N189CMMxkZJ3rX7N66dYn38Adv9iPm3/2GkbHErzXZOe4Qgj50lr9Ha3+FkFYgZxxq0Y25MaiAGDRhfW8FZkiTDKzO3xcZTlGxuIY5OgIvbBDPIEgCIJQRq79WvK9l/Cfv3oLHreLN2ZjxK5msfmqWJyYraCm1M5o9VXJ3vFDO7sJQgAt2TVG7CSX2qXSc3I482+9z2XILX07Fk/ilWPBrDIdfDt/5CwaFqvyJYSxunSn2gxB7nhny7e9/+EZtAb4J/xaMu3E+kjLznTC3ujxbu2ml+XYWin7t//cbhOubFqtRwjCSoTGPwDRaj1cXzIXLb6lFVV+uH0wFDnrv/acHM74rmuXBETPASZbSRDy4MracJRBLJ7CK8eCuO6RLkSYZEbWlfjX3Gum0mm0N/t5fRcxX1qLv0O+NOFE5I5bNbIhtXssMKEaz9yxCOMqyxGKigfn+z+O4NYn38j6vd7+AM0DCIIgnIMav0vvXc1S81UpP9bnKVfsH+oRmyN7lw/t7CYIHvTY+ab3rjE5u1RYjDiXgX0en6ccN//sNWzf25tZ6GbJ3fmjd1kRoniwctel2gxB7nhny7c99JvDWNPahNZAfdZ39ci0E+ojtTvTCfujx7u1k16Wa2tZ+9cuYf9yZZN2bxPFDN/4F8v+fnDZ7CxfMhe1vqWV1STYPnCVluDWJ9/I8l1bptTyJqKxbSNbSRDyYY8Q+eEfj+TNE1lZr64Q32chZMObJ47DVhW7VrT4O+RLE05E7rhVIxtSu8em+qs+8TckKjLxtc0If4DmAQRBEM5Ajd+l565mOfNVqThxnYrjp/SKzZG9y4Z2dhMED3bb+cbCZuwMnImh/+MIAGTtUgGMP5dBiTIe73Xj8VULEUukUFnuwv7+IXR29WXaasSiPOF8rD4fT22GINf5aZlSi+17ewEg67zUWCKFirJSBCZUY5JBu9nstJhJ6Ise71ZruSc95VOJrZ1c68F3b5qHowOjGI7GUVFWmmX/ivlMIoJQgtiu74VT63Q/88sOPjVX73ndLnS0NWHCuAo8essCXv8UIFtJEErJlXVW1lqm1CKWSKGstET1Dhw1u1a0+DvkSxNORO64VSsbcuWwurJMsBpDbkVCFqr6RxAEUbyo9bv02tUsZ75qxPnYRpRi52J1bN0qbLHYHYlE4PV6AQCPPfYYJk6caHGLiGLHqgmuHEXE7sypqijDPU8fyFK0ZpzLIFcZnxqO4r5nDmFf7yftaw3UY9vKFqzb2YOFU+toYaKAUWtUrSh1mgubIahUvrjOTyyRynzOnkvI5Zk7FmEqqgxpv9EOE2EderxbLU663vKp1NZOrKlEMpVWLJvF6uQThBA+gcxzNbZPCjlybrSMsnrvjRND2LayBTu6+7LsMtc/pYRMohCwwu5xZZ09zocra163C52rL0UayPMj5OgYIb0lhBZ/h3xpwonIHbdaZENKDk8NR7FxzyGsWjQNqXQ6q4JKe7MfqxZNw7qdPby/tTqJhOYLBEEQ1qDF71LqH/IhZ746vaFa0VxZjk0xYgGdxQ6xdaswbbH7yiuvxH//93/jggsuyPr8tddew7/8y7/g/fffBwDcfPPNZjWJIASxYoKrVBFZdS6DHGWcKQHSm/0ddrKzYelMXHnRBJo8FChqjaqdzsdTI1/cRfKKMvFTQowMkhnpMBHWose7VZvMYYR8qrG1SmWzmJ18glCKEb6llJx73C6s3dljqIyyeu+l9z/iPaeb/XdHWxO27+0lW0k4GqvsHlfW2eN8uLIWYZLoeOJ1bFg6ExuXzkQ4ljB0/qrW3wHIlyacidxxq0U2xODOFV45GsyqbFbrKceUOg8+///fl3cUHouVSSQ0XyAIgrAOq/0uuXEpuXNluTbFDHvMxYrYuhWYtthdU1ODuXPn4tFHH8WXvvQlpFIpPPDAA9iyZQvuvPNOs5pBELIwW9GqVUR6ZDAJtUcoA0mOMj46MCpYAqS7N4jN180yrIQzYS1qx3IowuB0aEy0dMzfh6MYDDOmZVmrkS/W+RmOxAXLtxntrBnlMBHWo9e7VbOgZUQpYrW2Vkw2QxEGw5E4wkwCESaJeDKFeVNq8eaJobzzQwvdyScIPqSyzPX0LUMRBmWlJaL2cH//sCkT8cm1HiycWof1uw7y/r27N4iO1iaylYSjUeqH67WTMRRhkEqn8fiqhSgpKUFNZVleVSPg7IL3+l0H8eJdV2B+Y53yB1SI2gQe8qUJJ6Jk3BqR3MadK/BVNvvdv7djw9KZePD5d/IWvNXMj/XUX8W8KEAQBGE1VvtdSuJSUnNlpTZFzB4rsXPc73rcLsuPEbMS0xa7n332WfzkJz/BbbfdhmeffRbHjx9Hf38/fvOb3+Czn/2sWc0gCFmYrWilFhE+GBkzTRHJyUCSmhxJlQAJxxLGPQBhKWoWxNgxt/KyRtFrHw9GcMcv9ts+y5p1frZa6KxZVfmBMB693q3SBS0jjvfQ29aeHo7ixMcRPLL3SNZuMr4SxcXg5BNELmbuXGLv9ea50uG55UwXN/vxwLLZuGbbPt7fGyGjoxL+p89TTkFtwtEo8cP10gd813l81ULR35hZrlhtAg/50oQTUTJu9d44ITVXODYYxgsHT6Nz9aXoeOL1jE+uxu/X058xIqGXIAiCUIaVfpeecSk1NoXPHiuxc7nfffSWBaJttPrYEKMx9czur3zlKzhx4gS2bt2KsrIy/PnPf8aiRYvMbAJByMZMRSs1MfjbUBTn1VQqvrfSbFclGUhikyM658y5aM2QVrogxh1zqxdNE/0tWxrcKVnWVgfJjKr8QFiPFe/WKL2uRU64+qq6ogzBMIOfvnxUskQxS6E7+QTBxcydS7n3WrezJ1POFAAax3vRMK4Cx4NhwXKmgHIZlfJhpPRYHdlNwuGMjMXhdbvQ0daElim1iCVSqCx3YX//EDq7+jIypZc+ELqOFE6ZC5IvTTgRq8atlI2tKCvFviODKAHw23XtGIowqubHWirJ8fkIRiT0EgRBEMqx0u/SK36rxqbk2qfqijJs3HNIlp3js4lWHqtpB0xb7B4aGsJtt92GF198EY899hheeuklfO5zn8O3v/1t3HHHHWY1gyAUYZailZoYAFCcUaom21WvrFarz9sg1KFHhrTSBTHumOs5OYzWQH3eQhVwdmdmz8nhzL+dkmVNQTKiUDBSr6uREz591R7wY1XrNLx67OO8BTS2RDGXQnfyCYKLmTuXcu+VW870xbuugM/rRvUoI3odJTIqx4ch/5QodHyecmxb2YId3X1ZMsdWOKnxnJUpvfSB0HXEfHqSNYIoTMRsLHcu//KRQSRSadVHGWipJMfnI/g8tFGDIAiC0Cd+qzQmzhvXavZj1aJpeOVoMC+ulWvn+Gxisfvh4kv9OjJ79mx8+OGH6Onpwe23347//u//xuOPP44NGzbg2muvNasZBGFL/NVutDf7ef/GTgyUZJRKZbuGIvzBRb2yWtkSIItznonOObMvasdMLuwklw8+o8odc51dfVjT2oTWQH3Wd1oD9VjT2oTOrr6szynLmiDMw056XUhf7esdxI7uPnS0NfH+LpZIZf67GJx8guBi5s4lufdS6jMIIdeHsZMeIwgjqKoow47uPt4KJ09096Gq4uxeB730gdB1WJ8+d35LskYQhYuQjeWby2vxObRUkuPC+ghVFWW6+CIEQRAEoWR+KxjXOiIe1+LaOT6bKBRbLxY/3LSd3V/5yldw7733orT0k/X1L37xi2htbcWaNWvMagbhALSWUXYiPq8bDy6bjXufOZh3zuia1ias29mD5fPPByCvf9Rm6+tZptbqEs6EMvTa4aH0rBPumIswyaxSp1UVZQjHEug5OZx11i6L07KsjdRtxag3iwU7vVu76HUxfcW3g5uFLeeUq4/s1McEoTfs+E6k0uhcfWmmnLGRNlWuP6nX+WhKfJjJtR5856Z5GAozGBlLoMZThjqvGxNrKmXdiyDszOhYgncXBwB09QYxOpbAxJpPZFSo5HmNxE5HFiFZZ336365rRyKVtsRnINtOFDp2HOPsXOF0aAzHBsOoKCvNm8t73S7Ued04OjCqqu1aKsnl8vKRQYyOJXQ7q5UgCIIwDj67B8BWtlDJ/FZtXItr5/hsIje2vuHamRiLJ4tqTca0xe4NGzZk/ntsbAyVlWcDChdccAH+8Ic/GHbfl19+Gd/5znfw5ptv4vTp09i9ezduuOEGw+5HaEOPMspOpc5bjqVzJ6OjtQmxRCprYrBwah381W7Z/aM2W1/v8o5Uwtk56LnjS8mCWO6Y45Y63XLjHPz24OmCKDdqpG4rZr1Z6Njx3dpBr0vpK+4Obpb2Zj8ax3vx4l1XZOkjO/YxQegF3/hmyxlzA89621Ql/qQeSTRKfBiSeaKQUVJV4eoZDfjiZY15Jc/bAvX40sIpsu4nJusLp9ah1ltuic9Ack4UOnYe46zMP/zC4Tzd4HW70Ln6Utz3zCHs61XXdqUxKzl6cXpDtS0SegmCIAh+cu0ea09+tLdXtT0xCrnzWzVxrVw7J2QTI0wSB04O4/a2pqKzZaaVMU+lUnjwwQdx/vnno7q6GseOHQNwdhH88ccfN+y+4XAY8+bNw/bt2w27B6EPepVRdio+rxtXXDQBT75yHHf8Yj9uffINbN/bi4VT67B1xVwAkN0/andoU3nH4kXPXf3A2bE0vaEa8xvrML2hWnDsiI25qy6aUBDj0UjdVux6s5ChdyuMlL7KPXuvvdmPb6+Yi+aJ47L0EfUxUcgIje/u3mBWWTQjbKpSf1KuzyCEXB+GZJ4odJRUVdh8/SzekuddvUF8Y/dBWfJgx7kjyTlR6DhhjAvphg1LZ+YtTADK2q5U7yjRi1p8EYIgCMIY+OxeR1sTHtl7RJM9MRI5NkXKPtXmxLX47JwdfXGrMW1n90MPPYQnn3wS3/72t3H77bdnPp8zZw5+8IMf4NZbbzXkvl/4whfwhS98wZBrE/qiVxllK9FaSkos++fowKjs/tGyQ9suZWoJc9F7V78SpMacU8cjqw9iiaRhuq0Q9CbBj5nv1o5lEMWQ0leNdR68sK4NESYJn6ccDeMqeJ+H5IcoZKTKot17zQwsn3++YTbVTH9Srg+jp8w7TW8SxYESf34snhIsea5EHsRk3Qo5IdtOFDpmjXEjYlupdBrrdx3U3HYtleS4OK1aHEEQRDHCZ/daptRmVSbi8vKRQQycidne35OyT9MbqvHiXVdI2jlax8nGtMXun//85/jpT3+Kz3zmM/jKV76S+Xzu3Ll49913zWqGJLFYDLFYLPPvkZERC1tTXOhZRtkK9ColJVQiVkn/aD0D0Q5lapVCsqsNvc7N1HJ/sd3fThuPXH3w6C0LRL+rRbc5XW8CJLtCmPVu7VwGUQgpfTVJZrsLQX6sguTW/kiNbyaRwszJPkPbYJb9luvD6CXzTtSbLCS7hY0Sf15PG8gn61bJSaHadpJdgsWMMW5UbKunf0j0+1r1jtD3rIxzkOwShPMgubUXfHaPr8Q3l/6PI6iqKLP13EzKPk2sqcTEGvnXclrc3ChMW+z++9//jkAgkPd5KpVCPG6fCceWLVtw//33W92MokTvMspmIlVK6pGVLZqVjtL+KbbMHpJd7RTbmDGKXH1QUSZ+YogW3eZkvclCssuPGe/WDNtlFHroq0KQH6sgubU/xTa+5egEPfrEyXoTINktBuTaRyN1hJVyUqi6j2SXYDF6jBspv1bJp5VxDpJdgnAeJLf2gs92SMVZAThibkZxeP0x7czuWbNmYd++fXmf/+pXv0JLS4tZzZBk/fr1CIVCmf+dPHnS6iYVDWz5Bj7sXl5ITikprajpn2I6d4hkVx+KacwYRa4+6Dk5jNZAPe93teo2J+tNFpJdfsx4t2bYLiPRqq8KQX6sguTW/hTj+JbSCXr0idP1JslucSDHPhqpI6yUk0LVfSS7BIvRY9xI+bVSPq2Kc5DsEoTzILm1F3y2QyzO2hqoR8/JYUfMzQCKw+uNaYvdmzZtwtq1a7F161akUins2rULt99+Ox5++GFs3LjRrGZIUlFRgZqamqz/EebAlm/IVWBmlRfSghmlpJzcP2ZAskvYhVx90NnVhzWtTXmOmB6yWwh6gWSXHzPebaGW+pRLIciPVZDc2h8a3/no0SdO15skuwSLkTrCSjkpVN1HskuwGD3GjZTfQpVPMUh2CcJ5kNzaCz7b0dnVhzuXNKM9x560BuqxprUJnV19AOw/NyP0x7Qy5tdddx1++ctf4uGHH0ZJSQk2btyIBQsW4LnnnsPVV19tVjMIm+PU8g1mlWNyav8QRDGRqw8iTBLrdvago60JHa1N8HnKUed16ya7pBcKF6PfbaGW+lQCyQ9RyND4zkdrn5DeJAoJo3SE1XJCuo8odIwc40bLL8knoZb+/n4MDvJXHdDC4cOHdb8mQRD6ImQ7Hlo2G70fjSKWSKGirBQ9J4exbmcPIkwSAM3NihHTFrsB4POf/zw+//nPm3lLjI6Oore3N/Pvvr4+/M///A/Gjx+PxsZGU9tCyMPndZ6jy5bUeJmn3JPackyhCIPBUQYjY3HUeMrhr3Jn+sZp/UMQdkBIpvSGTx9EmCS27+3F4ma/IWfGkF4oXIx8t3Jsl1lyYyUkP0Qh4/TxbYQO0tInRvj8BGElWuRBSD7tICdO130EIYVRY5yV3zdODKGjrQktU2oRS6RQWe7ChyNjusgvySehlP7+flxyyQxEoxHD7hGP2b/cMUEUM0K248lXjuvmcxZD/KvQMXWx2wreeOMNXHXVVZl/33XXXQCAVatW4YknnrCoVUShwZbUuOfpA1kKVm05plPDUdz99IGss5IWN/vxrRVzMbnWo1u7jYaMBGEXzJQpvfWBGCRjhBbExuq3V8xFmElqkhsanwRhHoUob3b0h8208QRhZ6Tk0+lyUog6lbAndhtrPq8bW1fMxYmPI3hk7xFs3/vJ5qH2Zj+uuGgCfF7LmkcUKYODg4hGI7i8YxNqJk3T9dqnD/4Fh579KRKJhK7XJQjCePScm9lh7mk3n8CJlKTT6bRRF6+rq0NJSYms73788cdGNUMTIyMj8Pl8CIVCdEYDIQmrlJSUY8pVZJ5yF+7+9VvY1xvM+65Ru0KNwGojQbJrHnY3xqEIg7U7e7LGIosRMhWKMAiGGSRSaaTSaURiSfg8+pdns1rGjIJkV1/kyCef7QKgSW4KcXzaXddZCcmttYjJW5Xb5ahxy8pZMp3Gg8+9bVt/WI3Pb0dIdp2NVXZJrm8tV07sZl+d4MOQ7BYGWsaakXITijBY+1QP9vWaM3/mu7+ddIKekOyqY//+/fjUpz6Fq+/dgfGNF+t67eOv/R6vdd6Ptq/9COfPaNHtuh/3v4c/fHMN3nzzTSxYsEC36xLmQ3Jrf8R8TrkxMTPjxnwI+QQPL58DJplCKFp4NtEIDN3Z/cMf/jDz38FgEA899BA+//nP49Of/jQA4C9/+Qt+//vfY8OGDUY2gyhA7Or8Ki3HxKfIfnHb5byBPQB4+cggBkcZWzyrGKEIk/dcwNn23/P0AcsDlIR+KJmgWyW3g6MMr8MCSMuU0jaL9YfeC+okY4QUcuWTz3YdHRjVJDdS4xOALe24EFJ9aVe/hCh8xOTt7qcP4Jo5k7B+18HM5+3Nfjy4bDbqvOWyx6hZ45srZ4+vWmhrf5hKsBJK0VuOrFyQletbc+WEff5jg+Gs57fbwjL52IRZaBlrcuVGrd4ZHGV4F7rZ9hlpg43UCeSvEwRBFCZCczO5NkVL3FguYjZI1CfYdQDzG+sylVaM9pOdbisNXexetWpV5r9XrFiBBx54AGvXrs18tm7dOmzfvh1//OMf8b/+1/8ysilEAWHWhNho4RZSZKFoXPR3Z8bE/24HzDAShPUomaBbGcgakZAZIZlS2ma5/aGHbiEZI6TQGqxVIzfs2I4lkqLj84ORMTz0m8O2CWxLIdaXm/YcwqbrZmH97oOOeR6isBCzB/uODGL1oml5n937zEEsnTsZV1w0QXSMhiIMhiJxbHjmYNbCs1F+N1fOYomU6Ped4A8TBIvefrDVC7JKfIRQhMEHI2P421AUJSUl2N8/hM6uPiycWoctN87BPbsO2mphmXxswizUjjW58n96OIo/v/8RGsZVIJZIYSgSx1/7PsaVF03AJAm9o3b+rBUjdZvdEmsIgiAIfRCKsSqxKUbbPSkbJOYTdPUGsaa1SbT9elEIttK0M7t///vfY+vWrXmff/7zn8c999xjVjMIh2PWxN4M4c5VZF63Cx1tTZgy3oNHb1mAynJXJhgQYZKZ742rLNfl/kZi1eSIMBe5E3SrA3I1EjLDJ1Nq2iynP7SegcyiRcacnqVHyENrsFap3HDt5qO3iJdp+9tQFG+eGMLaJQG0TKlFLJFCZbkLL73/Ea6ZfZ7txqNYX148qQbrdx3I24FKO8AIJWjRy1L2gG/RuLs3iI7WJtExemo4ipfe/wjPHziFbhPGd66cVZSVin7fCf4wQQDGzF+tXpCV6yOcGo7i7l8fyNoh2hqox7aVLVi3swcnghHTnkOunqV5LGEWo7F4ni/Mjf8IjTU58g8AJz6O5Nnw1kA9mvxV8Lpdus4D9MIo3WZ1PIIgCEIrFMfjR2z9JsqIb8Lg2hQj7Z4cG6R0Tm+Ev18ottK0xe76+nrs3r0b//mf/5n1+TPPPIP6+nqzmkE4EK5C97hdppSVMFK42ecJhpnMZ163C9tWtmBHd1+mLAWQHQyIMEm0N/szZ6naGasmR4S5yAkGhSIMTofGLA3I+avdWNzsx8sCZ6/wydRwJI7Vi6Zh5WWNeYEHoTZL9UcoGsfm597WRbeolbFCyNIj5KE1WKtEbnLtptQilaukRNDmffrCels50KHI2Z3qQkloLVNqs56BC+0AI+SgpooIN9BRXfHJdI5NnOQGzv3VbnjdrqzESeDshFlojLIyvXrRtLyFbha9x3euzuo5OYzWQD3v/YVsN0HYESMWb7jywif3iVQKoYhx9keOj5DxDXJKIbMy3dHWhGGTKpop0bM0jyXMwudxo6d/SDD+IzTW5Pj4ZaUleGTvkTwbyv774RvmiOoHNfPnXMR22gkt2BiVbGJ1ghBBEIQWKI7Hj9T6zdc+2wyA31fe3z+EcOwTm6KH3RNCjg2S8j/5Ymx6J2AWiq00bbH7/vvvx6233oo///nPmTO7X331Vfzud7/Dz372M7OaQTiMXIUutVtMD0E3UrhzzyJk6Whrwo7uPsHJSEdbE97qH8b9188yVbGozRwz0kgQ9kHKGHvcLqzd2YOVlzWKfs/oHRI+rxvfWjEX9zx9IGtMLm72YyvPWdqnhqO4L6dka2ugHk/d/g8YDjOIxJNgEsm8IKJUf3h1TNZRI2OFkqVHyGO8143HVy3k3SkCSAdrlchNrt0UW6Rqb/YjmU4L2rwNew5hu03GotSOtAiTpFLLhCaU6mW+QMeWG+egvdmPN08M8SaRtOeMWRZ2wsw3RlmZNtp+5ya0rl0SyOipzq4+bFvZAgBZukLIdhOEXTFi8Yb1OYUSptsDfnx1SQBTx3slyxWrQY6PcHRgVNDvZatLSFHjKde8k0mpnqV5LGEGoQiDDc8cEoz/bFg6MzPWcmVgvJc/iY1lXGU5wkxCMFmtuzeIMJMQbZ/S+XMufP7K1TMasGHpTNz7zCHBBRujkk2oYgNBEE6F4njCSK3ffOOaGaKbC/9pwQWZf2uxe1K+qpQNGo4yCEyoFvQ/WwP16Dk5nPe53gmYhWIrTVvsXr16NWbMmIFt27Zh165dSKfTmDlzJrq7u3H55Zeb1QzCQfApdDNKGhol3B+OjOHuX7+VWUDjLgaI7Qzr7g3iG1+YgZYptaruqxYtmWNaJ0eEM5AKBu3vH+Y9LzQXM3ZITK714JGVLRgcZXBmLI5xleXwV+cHyz7ZhZIfeCjBu5jfWJeR1Vx5EOuP9ma/ZBuV6BY1MlYoWXqENGcTNg4JLtIunFonK1grJTd8lUoAiC5SPbBsNo4NhgUDcPtsMhZDESZvoRvITkLbvrcXtR7aAUaoR4leFgp0PPj8O+hcfSn6BsO8SST7eoNI4ZMxC2RPmMdV5i8mhaJnZdpIv5vPz2zLWZhft7MHHW1N+OqVAVSWu+Dz8NtugrAzRizesD7n3Cm1AnI/iBTSWDp3smHHg0j5CHLKMb5zegTtzX5ePXj1jAa4XaVYu7NH004mpf4vzWMJMxgcZfJ8TJbu3iA2Lp0Jn9fNayvbm/3oXH0pOp54PW/Bm03IeH9gVPT+QgvlXOTOn3MR8lcunlSD9bsPih6NYlSyCVVsIAjCqRRbHE9JkqOUr+kqLcGGpTMFN1ps3HMoK1lAjd2Ts3YiZYNi8bMbKPj8z7ZAPVa3NmHdzp6s3xiRgFkottK0xW4AuPzyy/GLX/zCzFsSDoZPoZtR0tAI4T41HMXxwXDWAhp3MUByZ1gsgf/z135896Z5iu+tBj0yx9ROjgjnIBYMemDZbFyzbR8A+5Qi9Xmlx5+YI9nVG8Qazi6UXHkQ6o+2QD1WLZqGD0JjovdWqluUylihZOkR4kiVDd2wdCauvGiCbF0sJDdClUoAZC1SdbQ2wecpR53XnZH1dDotek87jEWpIGRHaxPam/2YWu+lHWCEapToZSH7FGGS6Hjidey6YxHW7zrIex3uLsrWQD3WnJswL272o7I8fzHpqdvOJiIbZb+F/MyunGSSCJPEgZPDuOWyRkN2pxKEGRixeMP6nMcHw6IJ0x2tTYYGQcV8aznlGN85FcJ/fO5ipNPpjPwDZ/tl8/WzcM+ug5p3Mqnxf2keSxiN1LiMMklBW7nvyCCQBu67dga+sftQ5nNuQoZUMqZP4u+Z78mYP+ci5K/IOfpnekO1IckmVLGBIAinUkxxPKWb7qR8TVdpCRY01grOkYWSHuXaGrlrJ/5qt2ByZ2ugHq8cC2JiTSWmN1Tn+Z+V5aXY/OzbWUlqRiVgFoqtNHWxO5VKobe3FwMDA0ilshf3Fi9ebGZTCAfAp9DNKGmot3Czyi+3FCR3MWDKePEAXjqdxgPLZps2wdYrc0zN5IhwFkLBoOPBcMYYO6kUqZxdKFxy5YHbH6FoHGPxJF45FszIut6LBkpkrFCy9AhxxPR3d28Qm6+bpXnRKNep51sQizBJbN/bi8XN/ryA9AV14ve3w1iU0gVVFWXYuHQmzq/z0g4wQjVK9LLYmIwwSYxExUuSVlWU4fFVC9FzcjhT4eHh5XOw6dm383TGK8eCaAvUG2a/pRLL7rt2Jj57SQMtMBEFgVE7hSfXevBBKCr6nVgiZVkQVGxO3Rqox4cjY7j58qm47cnX8aXLGnFHTgUHveajav1fmscSRiJnXIrJwL7eQfz7Z5szCaeN471oGFeRGbMN4yoEA+vtzX40jKvQ+ATCCPkrco/+MSLZhCo2EAThVIoljqdm053U+k19lRvHBsOi99XiJ8v1VX1eNzZfPwsb92QfX8JNQv/sJQ0A+P3P7940z5QEzEKxlaYtdr/66qu4+eabceLEibwdPSUlJUgmpcvoEMUFn0LnLhBvuHYmxuJJ3QVdSLivntGAzdfPwuAog2ODYdlnhrHKj6+UM7sYAEB0MnLhhGpMrKnU9mAKKKbMsUJE69l2SuEzxtWjn5Q1zt3lGUukcKG/CpN8lbYzlnJ2oeSSKw9sfxwdGMWNP34l87nVi/6FkqVHiCOlv8Mx8QUxOeQ69UrH9nk1larGopm6TUoXhGMJTKg+GyikHWCEWpToZakxWVMpPq2rr3JjQnUF6qvcWD7/fPir3QiGGfzx8EDed1mZLik5nmW/gbPJKufVKLffXPmtKCvNOp87l7F4EvMb6xRdnyDsTJXbhQ1LZ2I4Gke12wWvuwy13nLNdsLnEf99RVmpZUFQoTl1e6AeG66bhd8eOo2HfnM4Mx/evrcXL951BaY3VAOAbsFJ8n8JOyJnXErJwMCZGO74xX4AwIt3XZG3M22rRQFrIX9FydEoufGFUITB0YFRTXMA8tcJgnAixeLHqElylLM4W1PJ5F4uCy1+spK1kxIALY11uL3tQvi85ShzlWAoHEcylUZHWxNqRCqumJmAWQi20rTF7q985StYuHAhfvOb32DSpEkoKSkx69aEQxFS6GxJw9vbmgwTtlzhrvGUw+0qzSultrjZj4eXzwGTTCEU5Xe8WeUnVgryvdMj2LJ8Dr6x+yCvghZb6DYi+F8smWOFiJaz1pUgNe5y5Zeb2MG309MusO1+48QQOtqa0DKlFrFECpXlLnwQiuLQqVDeb4TkIdfxyV30H1dZjvoqt2mOQ6Fk6RHiaNXfcmyK1rGtZiwq1W1abaPUjrSBMzEsnPrJYhztACPkwh2bPk85Hhbx/8TsKpfFzX7UVYn/nbvji0UokM7K9J6vtqK0pETzRJdPfltzzufmopefaXbyH0HwIWa/fF5t1xbSC163C/ddOwP11RUIRRkc/WhUl/GvVKZy59TuslK8cOgD3PCjbt5EF25QUK/5KPm/hB3RI0DPXTwWK8cfDDNIptJIptKIMAlE4mdLpCsp06pE7oX0Us/JYbQF6rOOLGARW7DRM75B/jpBEE7DCj/GijmU2k13k2s9+M5N8zAUZjAylkCNpwx1XndmHcXIZAElvmp9lRvvnR7B/Cm1+O7/fS9rbagtUI8vLZyiuh1643Rbadpi95EjR/DrX/8agUDArFsSDsfqiSlXuEMRJu88Q+BcOY1dBzC/sS5rIY/reLPKT2jnW/u5840nqcieMWphs1gyxwoNPc5al4OccWe1/KqFzYI/8XEEj+w9knWuWHvAjzVt0+B1uzIBOjF5EKpOwV6Tu3vFLAohS48QR4v+lmtT9BjbSsaiUt2mh21kdRjfAt2dS5oxbbyX5IZQDN/YvHpGA7bcOAdj8ZSoLEjZ1Yk1lYrtrtgEPcIkUVpSotlOCclvd8753Nz26uFnmpX8RxBiGO2b89kqr9uFx1ctxKN/6s07z1fL+FcrU9w59dGBUcEze4HsoKCe81Hyfwk7IjUupRIve04OZ/4tVo4/zCRV20M1ci/kr7x3egQPL5+D+545JNtPMSu+QRAEYWfM9GOsmkOpTXKUaq+RsWklvipbyvy/nj6QtwmyqzeIb+w+SDZNJ0xb7L788svR29tLi92EIuwyMZU6W3DNudKOQL7jzVV+uaWcaz3lmN7wSYlyJdkzejv+uZlbW26cg83Pvo0/cMpb2n2hstjR62w7MZSMO73l16zsQq/bhR/t7c1zQPb1DiKFdCYwLyUPdk0acXqWHiGOWmc+FGFw968PYF+vtGzrNbbljkUluk1P2zi51oPtK1swcCaGUDQOr9uFKp1KzxLFh9DY/MPhAcQSKTyyskVzkohSu2u0nQpFGJwOjQnKb3dvMFMenb2nHn4mBccJu2CGb55rq8Z73dj07CHsy/FjtYx/IZl648QQXnr/IyycWofRWELSP1caFNQzOEn+L2FHxMalkAxwz/gEsmUnd75cXVGGjXsOqbKHWmypmD+ixE8xQ4cSBEE4ATP8GCvnUGLVijYsnYlUOo2e/qEsX1Nue41aW1Lqq47FU7zVftk2k03TB9MWu++88078x3/8Bz744APMmTMH5eXZGRlz5841qymEw7DDxFSqnEYskcr6N1dJ5So/7g5wqRLlYujp+AtlQj28fA7WXzMDI1HKgHcCZpy1rnTc6SW/ZmYXDo4yeQt+LN29Qdx7zYzMeadiz+bU3e2E81HjzH8wMiY47nNl2+yxrUS36R0Us4MPQhQGeo1NqTGpZMwaKcus3V55WaN4GzzleOaORbr6mRQcJ+yCGb45kL97Onehm0Xt+OeTKa/bhW0rW7Cjuw/rdx3MfC7mnyvVOXZJfCcIq+DKwHCUQSyewivHgpkjQLiywzdfbm/2Y9WiaXjlaDDv6AApfaDVlgr5I0r8FLN0KEEQBGHtHIrPR/S6XehcfSl+tLeX19eMMknZ7TUqrqPEVyWbZg6mLXavWLECANDR0ZH5rKSkBOl0GiUlJUgm889sIgi7IFVOg3teEgtXSRkxUddLSYplQrFlNC6cYG6pZUIdZpy1boVxNju7UOoZmUQKMyf7ZF2LgnSEVSitFPK3oajod3Jl28yxrUS30QSCsCt2HZtGyDLXbq9eNE30u3Vet+5Heti1r4niwwzfPBcjxj/fNTvamrCjuy9vh4qUf65U51DSGVHscGUgFGEwsaYSn72kIUt2hObL+44MIpVO5x0ZwiKmD+xgS63QoQRBEMWK1Xo/10es87px3zOHBKsPfu2zzaLXM2vOJ9dXJZtmDqYtdvf19Zl1K4LQHSXnJbHkKim9J+p6KUna/VI4mFE22wrjbPYY1fsZKUhH2J3BUUbyO3zj3qyxrUS30QSCsCt2Hpt6yzLXbvecHEZroJ63ZJtRR3rYua+J4sKKI22MGP9812yZUit4/raUf06+MUGoQ0h2xObLuUeGcBHTB3awpXY9FowgCKIQsYPez69WJBwL/sY1M0SvZbc5H9k0c8jfjmoQU6dOFf0fQdgZtpzG4mZ/1udt585L6uzKTuYwQ0mxSpIPJfe3OnOL0A+hcapnaWG9xp0SzB6jVjwjQVjJyFg8syDFR7vF416JbiP5JexKMY1Nrt3u7OrDmtamPP1i5JEexdTXhL0xwzfPxYjxz3fN3GO8cqE5JEGYh9Jj9wBpfWAHW2qFDiUIgihW7KD3uUjZNldpia3aKwXZNHMwdGf3s88+iy984QsoLy/Hs88+K/rd66+/3simEIRsQhEGg6MMRsbiqPGUw191NquIr+RaZXkpNj/7dtb5R2YpKb3OWbRD5hahH0aXFrbiHGqzx2ghn7UtpN+I4qamshydXX3YtrIFALJ2YLYG6vHgstmWjxM+3VZdWYZwLIGe/qGs8Vyo8kuYj546s5jGJtduR5gk1u3sQUdbEzpamxBLpHChvwqTfJWmnvkGFGZfE/bH7CNtjBj/fNfkO8aLi97+OfmwhFMxY+xKzZdrPdl/l6MP7GJL6VgwgiAIc7CL3meRsm2u0hLR9gJnd4fbyXckm2Y8hi5233DDDfjggw/Q0NCAG264QfB7dGY3oQU9Jw+nhqN5Zx0tbvbjWyvmYnKth7ds1HdvmqdZSal9Bj2UJJXRKDyMLg1otnG2YozayQHRS8dJ6TfC+agdK/5qNxZOrctbkKooK8XAmRjqvPZIeuLqtlPDUXz9V2/ljeetK+aiyu3Cg8tmI8wkEGGS8HnK0TCugiYQhCKM0Jlm2xazF4fY+yXTabQ3+zN9F2GSmXLHi5v9gmf56omd7DhBaPHN1cixEeOf7xxFo/1z9tmHIgziyRS6jwbR2dWHCJMkH5ZwBFxfwut2oaOtCYsurIe7rBR1VW7d7LLUfHl6QzVevOsKxfpASbKpkdDRBwRBEOagxYfUe+4pZdvqz12fr70RJom1O3tE5/JWJVKSTTMWQxe7U6kU738ThY9ZCkPPQGQowuRdCzh7DsQ9Tx8QDMxpVVJan0Hr/e2WuUU4AzONMztGc+WkNVCPO64KnF3M8hpzXy3PqIce1EvHqdVvhHPQMla4doB7/qZd7YDQeH7jxBBOfBzBj/b2Zp3txPaDXD1Bu8cII3Rm7rhq8lcZOq7MTnDKDehvW9mCdDqNLk6lCLN1CgUSCKejRI75bNf0hmpd25MrU0bOIfmevTVQj20rW7BuZw/5sITt4foSrF3c0d2X52vrYZelYjoTayoxsUZZ27P0SfVZfSKUbEqJJwRBEIWDmjmUEXNPuesVue0NRRj8V06iWcuUWsQSKZwIhlFWWoJEKk2bgQoUQxe71TBnzhy88MILmDJlitVNIVRiVnBN70Dk4CiTdy3uNQdHGd0n0nZZgFKauUULAYQQcsaGmvFT5XbhmjmTsHrRtMyO056Tw+h44nUsnFpnu0CXHnpQT/1ghX4jzCN3rHAd+sOnRxCOJSR3Nhu1C9IIeyE0njvamvDI3iNZZdgBZTJDFRAIQH+dafa4Mtq/zJXr6oqyrPtxS5ffcWUAleUu+DzadAr5nkSxoUSOTw9H8ef3P0LDuArEEikMReL4a9/HuPKiCZhkkO0KRRiMxZO4b+lMpNJpRGJJzXLOvTbfs7P2vaOtCdv39pIPS9gari/R0daEHd19mnxULnw2Ua0vn3utyrJSbHr2bfzx8EDmO4ub/dhy4xzcs+ug5bErgiAIwl4YOfdUY9tY+yuUaLblxjl44cDprA0SerVXCXac39qxTUqx3WL38ePHEY+LH0BP2BczF2/1DkSOjImPuzMSf1eD1DN8MDJmu90vSgO2haAoCXnIGRtqA/6DowzW7zrI+ze7Bbr00oN66jgt+o1k2DzU9jV3rGjZOaL3LkijFviExnPLlNqsZ+YiR2bskoBGWI+ePqEV4yrXfuRmtJ8eGQMA3Y7EeOq2y/Oejy1dvn1vL1686wpNO0wpCYUoRuT6gaEIgxMfR/D8gVNZC2mtgXo0+avgdbt01zFiMqnHvcSevbs3iI7Wpsy/jZija4V8Z+uxwzvg+hJafVQuco7ekwvftdoC9Vjd2oRXjgYRYZKZNp4IRih5miBUcPjwYUOu6/f70djYaMi1CUIJRm+ukROn4tr9irJSrF0SQLmrhDfRrGFcRd5Ct57tlYMd57d2bJMabLfYTTgbM3cP6r04XVMpfibpOIm/y4VPAbNnj+Xyt6EozqupNO0McDnXVRKwLRRFWSxoGTdydpbWeMpVB/ytSEZRi156UM9nVqvfSIbNQ0tfc8eKnjtHjNYJas/RFhrPsYT4kTlSMkMVEAgWPX1CK8YVVyeoTYDhk38AvHZ8OCouW0MRRvXZnpSEQhQrcv3A4UgcP335KFoa69DR2oRYIoXKchf29w/hZy8fxYbrZukqI2bIpNSzc+29XnN0vSDf2Xrs8g64voRWH5VFq/xxbXt9lRvdvUGsXjQNKy9rzOiNzq4+pNGXqaDAImXr7TQfJwg7EA0FAZTgy1/+siHX93i8ePfdw7TgTViO1fFaoaNvNi2dhcdeOpb3fb1sslr08qWVxuvEvl9Ic25a7CZ0xUwFp/fitL/ajcXN/qxzIFgWN/vhr9Yu1H/7OIL1uw5gX07WPXv2GN+Ct51KZSoJ2BaSoiwGtI4bOTtL+XZ+sUgF/M1IRtErSUQvPajnM6vRbyTD5qG1r7ljRa+dI2boBLW2SWg8V5SViv5OSmasnqQR9kGtzuSzIVaMK65OUJMAIyT/DyybjTdPDOXdT0r2QtE4bn3yjcx1lMg9JaEQxYpcPzAST+Dmy6fm2djWQD3WtDZhLJE/v9SCGTIp9eysztFrjq4X5Dtbj53eAdeX0OqjAmef7XRoTLX8cW271+3CM3e04vmD+RUh2NgUt4ICoN3PJohiIx45AyCN+TffjQlNl+h67ZHTx/Fa5/0YHBykxW7CcszaPMiH2NE3Dz7/dl7iFmC9PdPDl1Yar5P6fiHNucXfLkEoxEwFx04e+FAz8fV53fjWirl511zc7MdWHUqy/X0ogrtzFrqBswp4R/fZzFkurYF69Jwc1rVUZijCqH8AKFsIkKMoCXugx7iRs7NUSza43vKey6nhKNbu7MFnvv8Slj/6Cj7zvZdw584enBqOKr6WXnpQz2dWo99Ihs1Da19zx4oeWapm6QS1tkloPA+ciaE9oF5mrJykEfZCqc4UsyFWjCuuTmiZUpsneyx8+kVM/jfsOZTnrwJAz8lhtAbqee/B+rPc6yiRe0pCIYoVuX5gSQl/iUZ2jhmLpzTPAbmYIZNiz87qFL3m6HpCvrP12OkdcH0JMTspx0dl/Yxjg2HR7wnJX65t72hrwoPPvy2oNzramvLmFD0nh9Fu4HycIAqV6oZGjG+8WNf/1UyaZvVjEUQGo+O1YojZ/X29QbRMqc37XKtN1opWX1ppvE7O9wtpzk07uwld0bo7Wu7OylCEQTDMYNP1s7D52bfzMlPUTnwn13rwyMoWDI4yODMWx7jKcvirtZcAD0UYnAhGBIONuWePsZn463b2YPn882Xfx+hMHCUB20JSlIWOHuNGzs5SLdlzbLDgnqcPZOkXPQJdoQiDl97/iLeEm5odAHL1oJS+0/uZleo3kmHz0NrX3LGiR5aqUp0QijAYjsQRZhIIM0nUesox3uuG1+1ChEnqek4hS+54rqoow/+cHMaatmlIIZ1lb9sC9Xh4+RzJe5hR4YVwDnJ1ptTk8Ts3zTN9XHF1glQCTDDMAB+NZmyQaMDgyCBWL5qW9/n/+Ws/OldfitGxBIaj8YwdfedUCDdfPhXrdvZkfV+J3FMSClGs5PqB7HEgiy6sR0VZKQbD5wJZaYjOMUtKlFcKy4Xrs3rKXaLfrarQHmIS8oHbm/24//pZAIDb25pstdANkO9sB+z2DlhfIhhmsLzlfFWxq1CEwcY9hzBvSi2mjBeviiJkE3Ntu5hv3t0bxK1tFyKdTmd9/t7pEWxZPgff2H1Q9/k4QRAE4VyMjNdKIWX3+ejs6kPn6kvhKinJtNfrdmHD0plY0FiLY4Nh1HgYVdU+5axraZ3fKo3Xyfl+Ic25abGb0BUtCk5uCYbc8ksdbU34tyumo6K8FLUet+bFaZ9Xn/OtuQyOMpK7WqsqyvDoLQtQUVaKnpPDWLezBwun1ikKgho9uVOyEFBIirLQ0WPccMeGUGCdzZ7jC8jJCfgblYwyFInj+QPCJdyUBgjl6EG5+k7vZ1ai30iGzUOPvmbHynAkjvZmP68zK3dhTYlOOD0cxYmPI3hk75EsGWpv9qNz9aXoeOJ1w85E4o7nowOj+M9fH8j4Bey5paxNZZLibWCvZ9UkjbAncnSm1OQxHEtYMq5YnXA6NCb6vTNjcfzzY3/J2CClAQOv24VvrZiLb//uXXTl6ID/+NzFuO3J13mP6ZEr95SEQhQz3IWyNIDNew7lHQey7jPNotcYisSRrEiLfkeMXJ917ZIA2gL1WfLO0hqoh9ulT/FAo/x+IyHf2Xrs+A64vsR2FWM6GGbwpcsasaO7DwBUzadzbbuUb17lduHVvk/uwR5lMsmBckkQBEEYj1V+m5Tdb6ipyLObC6fWYdp4b6a94VgcNR43NjxzCOt3Hcx8T+nxW3LjvFrnt0pj+HK+3+SvKpg5t2mL3X19fWhqyi97l8tjjz2GiRMnmtAiwijUKDi5Zyvlfi/CJLF9by+27+3F4ma/bc/BGhmLS+62S6XSuOMX+zP/VhMENXpyp2QhgIKTzkGPcSNnZ2lnVx+2rWxBaUmJ6moMeiejhCIMNjxzkLeEG3C2xJuahTgxPaj0LDkjEnDkQDJsHnr1NTtWtmpcWJOrE0IRBn9+/6O8ZBEAmfG9YelMU85EYh141i/I5bOXNMi6jhOD64S1SE0eR6JxXDih2pJxxV5fSL9wS4yzNmjD0pmi17ygzpN1PaFjCvYdGUQqncaXLmvklUm5ck9JKESxw47xtTt78o7DevnIIL5yxXTR3yeSadV2ls9nZf15AFkL3mxlslCUAVCl6n65WOUDq4V8Z+ux+ztQM6YTqXTGzvb0D2fkj2t3pWxirm8v5ZsnU2ncMP98XNE8Ic9ncZpcEgRBEOZghX0Qs/utgXq8eHgALY11mc0Q0+q9OL/Wk2XTQhHmnJ8tL0bLh5I4r9b5rdIYvpzvF9Kc27TF7kAggMWLF+PWW2/FP/3TP6GyspL3ezfffLNZTSJ0QKg8g1IFJ7cEg9Fluo2iprIcL747IJiF297sx/SGarx41xWagqBmTO7kLgQUkqIsdPzVblw9owEXT6pBy5RaxBKpTAnS906PyB43UjtLI0wSv/xrP7570zyMjiVssZA0OMrkBQ5Z2OMF1AYIhfSgU/QYybB5WF2yPhe5tmRwlEHDuArB8qn7jgxi49KZcLtK83QCtxxrKMrgKKeMshr0TPaiIB6hBLljz6pxJaRfuEfmsLx8ZBBuV6mo/J9XU5mlXyrLXaKlULnH9HCvo8Qn5eq0UDQOr9uF0tISRONJhCL2sJmEvZF7VJZdEfMdXzkWFKzo0hqox4cjY/hUY61u940wSazb2YOOtibc/YVLcPLjaFZlsufWtqm6VyFAvrP1FOI7SKU+OZ6HK39s4L7JX4XJvkrRZ8v17XtODqM94M8L7ANn9cYrx4JYPv98zG+sM+ahJHC6ziYIgiDMQc5cl1tl7MW7rsizJ3rEaJVeQ0vMjmvT2bgaG8uv85ajurJM8Pu5cOflhbLxw7TF7rfeegudnZ34j//4D6xduxZf/OIXceutt+Kyyy4zqwmEzsgtzyAHuSUY7HYGk1z81W68d3oEa84F/HLPEt2yfA4m1lRiYo22+5g1uZMbsC0URVno+LxubFg6E+t3H8wKWMs95zb3WmI7Sx9YNluXsa4Xcsq16r0DwEl6jGTYPKwsWc/3Wzm2ZGQsLlkGMRxLoLmxLksneN0ubFvZgh3dfXnlWNX4EID9d/IQhYsTxh5XvwTDZ3UMuzCVW2I8FGVkyT/7/z39Q4raotYn9XndCDNJbH4u/7xTtXqDKA70nLNahZjv2NnVh+fubMs7C7g1UI87lzRj2nivan9A6L5sFZWZk2ryKpPZQedZCfnO1lNo7yDCJHL+nV3FaNe/LZJ8tlzfvrOrD7vvWIQHnn8n7ygvdnFAblUkvSkEnU0QBEGYR25i9Fg8iVeOBfPmukJ+qh4xWjXXUBuzY236pj2H8MVzx5yIxdWUrBUVwsYP0xa7Z8+eje9///v49re/jeeeew5PPPEE2tra0NzcjFtvvRX/8i//ggkTJpjVHALasiWVluGVQu6uGDuewSQHn9eN+5fNxqY9h7LKZ9R6yjG13ovz67y63ctuk7tCUJRWY3RmcyjC4N5nDuXtzuzqDeK+Zw6pOh7AbuNQCCmdckGdR/c2O02PkQybh536Wo4M11SW4+MwI3oddjxzr5dKp/HAc2/n6ZyXjwzi7qcP4Ls3zcPEGv4KQEIU4k4ewhk4Zexl9MvAKP75sb8Ifq+qolyRDZeyaY3jvYorF/H5PQB0nXsQzkKtL6z3nNUqxOQswiRRgrNnAQ+ciWWqH1S5y1DrLdf0fFLyzS2FbDedZyV28ueKlUJ6Bz6PxEK2R97cMde2A8iKTXErNESYpCVz0kLR2QRBEIS5cO3+qeEofvLS0byFbiE/VWuMNhRh4Cl34dFbFmSqpHZ29WXdX2+bOrnWg4eWz8HX/9//4Y2r5dpMp8To9cC0xe7MDcvKsHz5clxzzTV49NFHsX79enz961/H+vXr8cUvfhFbt27FpEmTzG5W0fG3jyNYv+tAVvleJdmSepfhlbsrxgm7Z4SYXOvBd2+ap6ti0auMvJFQCSptmJHZbFRZbb5xqHQ8GD1+pHTKeQoX3PS4p1I9RjJWPJj9roVsCduOZDqNgTMxwSM6cscze72jA6OCxwfsOzKIowOjSKbSinWckAMPAEcHRklGCNkolTU7TB7ltlmuDZLrS0pdr2FcBXxed6Z9xwbDqPEwgu0T8nvuvXaGI44AIfRHiy+s1ce1i48lJWf1VcbM/6TuG5hQjWfuWJSl8+zSZ3ZpB2EcTn/HetttOXD1RCjC4MDJYd6jSKSua1TfS+nsD0bGHPWOCYIgCPNRGhfSYme58xS2pPinL6xH23Q/ovEk3sw5HlRP+zk6lhCMq/HNc+y0VmQkpi92v/HGG+js7MT/+T//B1VVVfj617+OW2+9FadOncLGjRuxbNky/PWvfzW7WUXF34ciuHvXAVmZH0LoXYZX7q4Yp+yeEUJPxeKE8k5OaKOdMSuz2ayy2krHgxnjxwqdouc9ScaKB7u861xn/kc3L8DaqwIAso/oaBcZz1I6ZzgaV63jcu2sXfqNcA5qx4yVk0clbdbb7sm5ntz2ifk9q4aiou2w0xEghH5o9YW1+Lh2sh9WzYGl7jup1oOpqMp8bpc+s0s7CONw+ju20m5rva6RfS+ls/82FMV5NeLnkxMEQRCE0riQGnvInacIHdXHPR5Ub/vppCMyzcS0xe7vf//72LFjB9577z1cc801+PnPf45rrrkGpaVnS181NTXhsccewyWXXGJWk4qSUITBiWCEdwcWIH9nhBFleOXuihH7ntOze+XihPJOTmijXRAat0btuM7FjLLaSseDmePHih15etyTZKx4sMu7zm1HhEniq0/tx//vigtx7zUzMp/5POWZ3Zx8yCmLqkXHsTo1FGUQS6Qwb0ot3jwxlCkjRTJCCGEXWVOCUJvfODGEl97/CAun1mE0lsjyL/S2e1K+udw+FfN7pLDbESCEPmj1hdX4uKEIg4EzMfR/HMGa1ibMm1KbKUVopS6wqoKE3PvaRX/apR2EcTj9Hatpv1Hyr/S6oQiDjXsOYd6UWqxeNA2xRCpTsnXTnkP47k3zDD06AQBVciEIgiAUIcfuqllr4s5TOtqasKO7T/B40O/cNE9338VpR2SahWmL3T/+8Y/R0dGBNWvW4LzzzuP9TmNjIx5//HGzmmQYdl5wHRxlMByVl/kh9hxGlROXuyuG73tKMmTUvCM7vVezFkG14IQ26o2aMSI2bkdj5mRpGX08QCjC4HRoTHQ8/H04isEwY/pCP4sVO/Jyy8h9Ut5V3tgpRhkrVuzyrvnaEWGS+MEfjuAHfziCvf9xBc6v9UiWKhbTOa2BevScHAagTMeFIgyCYQZpAJv3HMoq59QaqMe2lS2ZMwgB58qInXyRQsRoWTPi/fG1mZtZvn7Xwczn7c1+PLhsNurOneOrNMFKrO1C11PSp2LZ6T0nh9He7Oe9lh2OMio22TTrebXuWFDq4/L55e0BP566/R9w25OvY3CUsYX9SANAiXn3k6MvlMi6kePHLj4TYRxWv2Ot41dt+5XYbSVtVHLdj8MM1i5pxvd+/27WzrXWQD3WtDYhGNbW9/5qt6CtZ+cI9VX6vdtis90EQRBORkhnS+ly1u6yZcZbptRmJWuxtkvpWhM3Zt8ypZb3WBDgrG0fCgvb/jdODGE4Eldsj5x81K+RmLbY/Yc//AGNjY2Zndws6XQaJ0+eRGNjI9xuN1atWqX7vR999FF85zvfwenTpzFr1iz88Ic/RHt7u+73AexfTmk0FscFdR48vmphlmCz2erA2cwPqeewWzlxJdmxSt9RKMJgKBLHhmcOqj7jXM3ziCk5s0pVaHH+i62chhrZlxq3Dy6bLWiMO7v6dMvS0kue+cZLhEniv54+gJWXNYr+9ngwgjt+sV/WQr/X7UIqnS6YM3jV2g0pGQvH4jSBLxCGIozo3/XQp9zd0N6KMpSWlKCstCRzDiggPua8bhfSANbu7JE1lu+9dgZWDUVRUlKS0WktjbVY09qEdTt7AMjPRD01HMXGPYew8rJGPNHdl3duEZtd29HWlDUBcZodsruPWQhIjXEttkfL+xPT5XxtFsos33dkEPc+cxBL507GFRdNkD1u+M4ia51ej3JXKaor+fUFixJ/UCw7vbOrDy+sa8fGPYdsMffgUmyyadbzhiIMPOUuPHrLAt45KyBtJ5T4uEJ++b7eQaSRRufqS/Gln76KCJO0xH6Y0e98ugaALF9SrqwbpQuVtoNwLsl0WjSeZeQ71kMOc8cod76fSKVRAuDIh2fyqrKY2UYhSktL8J3fv5vnX7D/3nzdLE3X93ndeGjZbNz3zCHs6/2k/exi+rqdPVg+/3xN92ApNttNEAQhhFlxQy334dPZV89owIalM3HvM4cyn3vdLmxYOhMLGmsRYZKo8ZQjmU7DX312TsAtM+51u3DftTPAJFPo6R/Ka5OcmD1LLJESbf/IWIL3czZJ/T4Va052W5uzC6Ytdk+fPh2nT59GQ0ND1ucff/wxmpqakEwmBX6pjV/+8pf42te+hkcffRStra147LHH8IUvfAHvvPMOGhvFF1+U4oRySj6PG/c9cxBdAjuePjW1DtWVZfj6r96SfA6rSqnxITc7Vuk7OjUcxUvvf4TnD5zSdMa5EuQ43WaUqtDq/BdTOQ21si81bplkCp2rL8Uje4/kZU53rr5U1ywtrfIsNF7uuCqAN08MYfWiaaK/ryg7mwjF5zRwYR2BB55727TkEyPRYjfEZMzrdqHG45a98EjYl1CEASPhOGvVp3zyywaVtrxwGPcvm43JtR7RMdfR1pS3oxrIH8v8u+bq8cwdrfjt26czu6/lZqKy5RS/dFkjKstdefdn6e4NoqO1KeszJ9khJ/iYhYDQGNdqe7S8Pyl/jK/NYpnlrCzIHTdyziLj0xcsSvxBsez0hVPrUOctt83cg6XYZNOs5xWyS9wqHXLthFwfV8wv7+oN4t/GEpmkKbPthxn9zmufm/346lUBdDzxemYhUUjvyZF1I3WhknYQzuXUcBQP5tjiXN1g1DvWSw65Y5RrVzu7+rBtZQs2PHsoK/akZP5mpK4IRRj8fSgqeCRid28QyVRa1bVZTg1H8eDz72BeYy1Wt54tk+7zlGNcZRk6nngdC6fW6RIDKTbbTRAEIYRZiT9akx35dPbFk2qwfvfBjF0Sq272s1WXYtuL7/N+9xu7D/G2SU7Mnp27sjFtIWoq+ZdghZLU5dojO63N2QXxN6Ej6TS/0zM6OorKykrD7vv9738ft956K2677TbMmDEDP/zhDzFlyhT8+Mc/1v1echZcrSQUYbDhmUNZC93AWad0R3cfNlw7A1uWz0E4lpD9HD6vG9MbqjG/sQ7TG6otE6ZQVN6uNyXviFWmDeMqJM841wsppzt0bncfGwzkQ6+y03LaIYbRbbQTamVfeudBAj/a28ubOf2jP/EHsbWgVp7Fxssje4+go60JPSeH0Rqo5/09t2wx+zvWaciFdQSEFtTkjE07ocVuiMnY/dfPwgZOdiP3mk7sp2JmcJTBK8eCgvLTrlGfCskv6xtcPKkmM2bExtyiC+sFF5rZsSy8ay6I+59/G/FkOrOAITcTdXCUwSWTarCjuw8hiWNauNm2TrNDdvcxCwWhMa7V9qh9f3L8MW6bvW4X1i4JoMotns8cS6Rkjxs5Z5Hx6QsWJf4gm52e+32uTrDL3IOl2GTTjOeVsksdbU2KdyzIGTdSfnkoGkfLlFpL7IfR/S5onzm+PPd+fHpPStbLSkvw9+GoYbpQbjucZPuJbDLjQMAGsbrBqHcsJYd/H47i6Eejkj4Bd4xy7apUwFvO/M1IXSHnSERu5Q2lsO/3j+8OYPveXtz65Bu44xf7ccvPXsPW372L//jcxbrtVCs2200QBMGHHrF/M+4jpLNbptRm2Uyx6mbf+/17mDnZJ/ldbpukq2kmMnNXsZj34mY/6qr4/dPcZ8htixx7ZLf5sdUYvrP7rrvuAgCUlJRg48aN8Hq9mb8lk0m89tprmD9/viH3ZhgGb775Ju65556szz/3uc/hlVde4f1NLBZDLBbL/HtkZET2/exeUnZwlMkqBcSluzeIjUtn4oLxXvT0D4lex+zSX1J9dno4ispyl2ApK6/bhTqvG0cHRhEMM+hcfSlvGTzus7FnDK+8rBEN4yqwdkmA9/vc3+iB3B3qRpeq0OMcLLPLaWiRXa2oLZcntfPA63YJyuw+Ge9BSnb00kdi44XdQXbnzh5sW9mS+YyFW5KMC+s05I6fRRfWC+5We+PEEEKROIYjcYSZBMJMErWecjSMq7CtsddSalFIxq6e0YC5F/iw6dm3sXZJgLcEvp3OK7RSdp3AyFg8s9MDyJef+6+fJfgu5ci4HPndvrcXH4yM4eLzagT1OjeT1et24V8XX4i2gB+JZBpVFS6UAAhF4njzBL+P0d0bxL3XzMDy+efzZqIKPcvIWDyzizV353YubBudWNZJi64wwvcsVLkV0qtitkfKLwpFGMQSSdFSzELvT8ofC4YZ1Fe5ce+1M/CVUQZ1VW7Ekym4SrMP8809EqVxvBdrlwQQFjkyhIU79uTsGN++tzerP5T6g07LTh8Zi4seOWO3kslaZdeIEtG5OiqVSovapQ3XzsTtbU26jwkpv5y1IXLth166V44O0RpnkOMLcOHTe0Ky3n6u0tMXtu3DD744X9A3FSsPr2RuWqglHQvV7ipBapx+9coAbrmsUfd3zMqWVCwp91guoZ1q3DHKtatS532yAW8xOVda4l2J3hgZi0vuXPN51O+qHzgTE32/m6+bhUk67TI087gDkl2CcB7FIrdaYv9K7IeSarxCMR8+ckuHi9nRfb2DWN06TdZ32TbJqRbEzl0/Go1h+fzzsfm5t/N2r29dMRcTayrz/FOv24UJ4yp47TZwdkE+lkjyllgnhDF8sbun5+wCRjqdxsGDB+F2f/JS3G435s2bh69//euG3HtwcBDJZBITJ07M+nzixIn44IMPeH+zZcsW3H///aruZ/eSslIOXfScA2yn0l9SZS5CEQYnPo5g+94jvKXZ73n6ALbfvID3zB9uqSuWGg//eeVC3wf07Q8lTreRwUC9nH8zA5ZaZFcramVGrFzn4mY/SnOC1bmIvQcp2dGzVI3UeIklUogwSazb2YOOtiZ0tDahqqIM4VgCPSeHBeWKb/wIVXHwul340c0LcCoUxSN/yt4N337OubBj6W6t+pavj6ory3D41IhgqdltK1tkLXCYhZWy6wRqKsvz5CeWSKGirDSrIkIucmVcjvwCwN+GojivplJQr7MBOK/bhe03t2BHVx9++Mcjmeu0Bupx55Jm/OjmBfjqU/t5k8eYRCor21bOs/g85TgdGgOATDYtX2Zse7MfjeO9ePGuK2y9cCaEWl1hVFmyQpZbJbaHRcgey/Uphd6f1BniaSBvbtEaqMd/fv4SfOaSCXjx3Y9ES4//04ILRJ8LyB57UmeRsX/P7Q+l/iCb2OkEfJ5yUXtboyHwbwRaZVfveSKfjDy+aqHob8biSUPGh7/ajfZmP28wjq1CtGzeZFmLLXrpXjk6RI84g1xfgAuf3suV9aqKMrxxYggdT7wOAGiqr8LP/3KcV1bW7exRpQv52uK0pBk5FLLdlYvUOKgsd+m2GMqiJDaUeyyXWOlRdoy+PzCa+UzKxg5HGd4gOnd+r6TEu1I9VVNZjhffHRD1tdXuqj81HEX/xxHR74Rj/OedqsHMmCfJLkE4j2KRW7Wxf6X2Q87mUKmYDx+5CVhy56pyvntmLI4mf5VozJ61eWEmifufewdvnhhCR1tT5hjPC+o8OK+mMuMLcP3TcCyOGo8bG3LO6m4N1GP7zS0oQQl+1nUsy2emYynlYXgZ8z/96U/405/+hFWrVuG3v/1t5t9/+tOf8Pvf/x6PPfYYmpubDW1DSUn2glE6nc77jGX9+vUIhUKZ/508eVL2fcRKZm1YOtPykrJyHTq7lP6SU+ZiOBLHIzkL3cAnpay237wAP9rbm7c7llvqimVxsx9VFWWSZfO46N0fSp1uo0pV6On8m1VOQ4vsakWtzEiV6yyTWOwWeg9SsvPhyJiupWrk7oSJMMlMSbK+wTCefOVssCt30YvbZ3njx8Pflx1tTTjNs9ANnN0Fb9fS3Xro29w+Gh1LYHy1W7TUrFA/WoGVsusE2DHClZ87frEftz75Bg6cHEZ9Vf67VFImSq78AsiUZwSQp9fZdna0NaGzK7/cc3dvEI/sPYLToWieLWXh02lSz1JVUYbac5Ofzq4+rGltyisf1d7sx7dXzEXzxHGOLeukRlcYWZas0OVWru1hcZeV5pUulVOKGRDX9WLy2dHWhM178ucW3b1BfOf37+LfP3sR2gL1oqXHN+45pKjcqtSOLvbvfLJcqOXVqirKBPv3ie4+VFUYnluuCK2yq+c8UUhGpDAq8drndWPL8jloy7EhbBWi906PoGFcheR19NK9cnWIHnEGJb4Ai9B74Mp6aUkJ1u86iAiTREdbEx54/m1B33TD0pkoKy1BT/9Qnj5VMzctNJ1T6HZXDlLjgBsMD0UYHB0Y5R1PcpErgwD/sVxSpUd9XjfGc8allI2NxVPS83uZJd7V6Cl/tRvvnR7h9bXbAvXYsnyO6uoVdz99QPJ7eup+M2OeJLsE4TyKRW7V+Fdq7Ie0/XZLxnyuntGAtUsCeHzVQjx6ywJ0rr4UALL8dik7WsvxE6S+O66yXNYRW9z+4Mbsbn3yDXzzN4fzn/Wcfzq1vgob9hzit9tdfTgdimo61qSYMe3M7h07dqCmpsas2wEA/H4/XC5X3i7ugYGBvN3eLBUVFaipqcn6n1zEhGBBY61gOWKzzoSR69DxPYfX7cKWG+fg3mtn4NhgWPWEQQlyylyEmYTg2QbdvUH4POWipduvvGgCvG5XRlGNjgmfV97dG0TLlNrMv40ohWaXRAO7tEMJWmRXK3IMoBBsZteLd12BZ+5YhBfvugKPrGzBpFoP6gXO9GCvLfQepGRnKCzvjCq5QQKx8dLe7MfAmVjWZ4ub/bjqogmq+kzoXi1TajGxplL1WSd6BETUoGXsCDEyFgeTSInqRiYpnsVoJlbKrlUoGW9qxoiSc+jE5JcN3LH/fzwYwWe+9xLu3NmDU8PRvO/fe+0MfH7WxLwENJbu3iAm1lRm2VLu8/DpNKlnGR1LYGq9F22B+swO+JbGuswk6KnbLsd3b5qn+04fszF6HCil2ORWSk5eOPRBnmxIlVtlz/5VY/OAs6XVcyfH3OsPjjKY31iHa+dM0nQOGHfsiZ1FxuoJJX6iXosRVthvltEx4blIV28Qo2P67UTTA62yq6ffIiQjUmfeaZmHSI2XC8Z7sXXFXDx12+V49JYFeHzVQrQ01uGXf+3HA8tmy3o+vXSvXB2iNs7A7YsyV4mkL8BF7nvIPQZBzD+Ye74PX9i2D8sffSVPnzpxbqo3xWZ3+ZA7Dk4NR7F2Zw8+8/2XeMeTXOTIIPBJQgxbdpRFTjU87jOJ6b72Zj9eOSZsy8Xm9929QSy6sD5LR6vRUz6vG5uvn4Vqtwtf/9zFeO7ONvz81suw8/bLsXXFXFww3stzNWnYthip+3MxYg4uBMkuQTiPYpFbqVhuMp3O85fV2A8p+80k85O5uNccHUtgw9KZ6Okfwq1PvoGv/+ot7O8fgtftwtc+exF23n451i4J4ODfQ6J2dGq9V5bN5docsZi92v6Q+t2+c3EzpdckzmJoqvmNN96IJ554AjU1NbjxxhtFv7tr1y7d7+92u/GpT30Kf/jDH7B8+fLM53/4wx+wbNky3e8HCJfMOjYYFv2dGee5KTm/ir+0wiGs33Uw63dKyicoPUdMTjmNeCot+R3RNkXj+M26Now/Vy5R6rzyqooyPL5qYV4pCt5rqzg3zS5njNmlHU5CS7k8oXKdat+DlOyMSARez4yJl5DJlXmpdnrdLlw2bTxvvyjtM6F7AfLK0PDJZZhJGlLmVy56l1qsqSzH+wNnRL9zxmbB92JCTWlToXL14ViC9/weJeWohGSKDdw99doJrGltwrqdPXjk3LnhueUZuc/06C0LRO/NlmDnIqbT5DzL9IY6fOvGuVi/+yD2HRnMlHpqb/Zj8/WzEI4lEIrY55x6tSjVFWaeR1iosDZjNBbHA8tmY+OeQ7xysm7n2WObXj4yiE17DuGh5XPwscSiq89TLlriFBC3r1LZ6GPxs5nlrdP5AwsscsYBO/aCYQbLW87H5mezy6iy/fDLv/bL9hP1KPNsVJl+JRSjnOnltwj1XWdXH7atbEFpSQnvmXdqdbnc8XJ+nRfVFWWZ51s+/3z4FZwRrnRMKD2fkIXVIWriDLl94XW70Ln6UqSBrP5pb/bjq1cFMmXIAWXvQckxCP1DkaxqT7m+hpAufHj5HATDDI4Nhuk8Q5PR61x6uciZG0vtOJOyu1ykZHBc5dnYkNixXFJEmCTuuCqAZDqd0X0AspKoFjf7sen6WbjukS6RtorP7XJLvKuxXaeGo7hn18E8HbFl+RycX6duoZvbFqHnbzcoBlWIxx0QBOFMzLanLEJ2tS1Qj1WLpuGGH3UjwiSz/GU19kPKfn8wMiZ6zVA0jh/88X109wYFj+hqb/Zjw9IZuGbOJN4jPR5cNhvn13mz1rr+acEFefP7xc1+PLBsNo4Hw6gOM5l3oXfMRc0RQlLXJM5i6GK3z+fLlAv3+fLPYDSDu+66C//yL/+ChQsX4tOf/jR++tOfor+/H1/5ylcMuyefENRUige8zDoHW4lDxz5HKMKcPQOsV/2EQU0wSk45jVRafLFb6BpetwsdbU1oqKnAsY/CSIw/ex2hcyBYaj3lmHHeOMlF7qFIPO/cBbnBN7s43XZph5Mw4oxJNe9BSnZqKsVVv1A5fzGZl2qnnudy8t0rlU5LnvPlcbvyzjPccuMcvHDgtCb9pgdK+0HMGfZXu/HhiPgY8LhdOPrRKAUEdUZqkqIlAMcdI6eGo/j6r94StKlKy1GxMjVwJobgaAz+cRVgEimMjCXw1auase/IR/iHC8cLlmfkPpOcMsfs2dlydJrcZ7lgvBfbz+mF4SiDWDyFV44Fcd0jXXkTNCejRFeYeR5hIcK3GLRh6Uzce+0MjIwlMBKN5wW4vW4XvnhZI77+//4PVrfyl+tnvzehugKDo9ILNEL2VSqjm5XF6kqX6PfkjgPu2GNlLRSNw+t2wVVaAldpCb570zxZ41OPxQg9FzS0UKxypofPK9R3bJWO365rRyKV1mUeonS8aHk+JWNCbI4sdZ26c21UGmfg64sIk0THE69jw9KZ2Lh0JsKxRKbPAeC5tW2q3gO7k+flI4PwlruwdkkALVNqEUukUFnuwv7+IXR29SHCJOF25fsPrK/h87p5dWFleSk2Pfs2/nh4IPMbdvFN7S5T4ixSPq1VyUZSc045O6z4xi/v80rEhuq8bmzf2yt5lqcQoQiD/3r6QOaMz47WJiRSadz9j5cglQZSqTR8nrPPFwwzeYvpXMZJzO9zn0Wp7RLSofuODOIbuw9qsrlsW1jdz/YFmyAbmFBtWIUmI+I3BEEQSrA6eZdrV0PROMbiSbxyLJg1x+X6y2rnPlVuFx5cNhthJoEIk4TPU46GcRXwed289o1dt2mZUotkKo01rU2YN6UW5a4S3iOk9h0ZxAPPvYNLm8ZjXmMdVnPsyMCZGOq8Z9uVq/e5PoXH7cL+/mFcs21fpk16rF2p+Z1YXK1Q55d6Yehi944dO3j/20y++MUvIhgM4oEHHsDp06cxe/ZsvPDCC5g6daqp7eBO9HIxu/SWUodO7YSBRW0wSm6ftTf7edvX3uxHXZU77+9CWUBsZvjVMxrwB86Emfv3ST7x3dynhqN46f2P8PyBU4JnK8iZCNjF6bZLO4odpe9BSnbqqsT/7naVqpJ5M8dL7r1CEQZvnBhCa6Cet5xoe7Mf+/uH856rYVyFZOlHu8mAlDPs87pxfq0HbYF63nKRrYF6pNJpfOZ7LxXMAqAdkDNJ0WpPAXk2VY3PwcpURVkp1u8+mCVHbYF6bFg6C7f87NWs37AZpdy29JwcRnuAv7xya6AeA2diWDi1TlWgXOpZ2Gtufu5tyxfA7ICdfE+nIbQYtH7XQbQ3+/GVK6bj1iffyPsd93zseY11vDaJ3UF53zOHsuyPmD4Wsq9C75d7BEE4lhT0ldWOA632Xg9dqMc19IDkTD1ifbdwah1qveW6vUMzx4vcMSFlz79z0zxZ11E6BoX6gtVxL951BeY31mX9TW3fsDt5Nu05hNqqs1XUuPPv1kA9tq1swVOvncgrlc6SW42GbUsmIZ9n8e2eXQewdcVcTbtNixkpn9bqZCO9d1gJPa9UbKhhXIWmanhcWeTKBcuLd12B6Q3VWdcVkvNQNC44D+bTA3rpDUC7DuW2hT3vlNsWtrIUQRBEoWG1PWVh7erRgVHc+ONXeL/D6no1cx8xv8LnzbdJQus2rYF6bFo6C4+9dIy3jV29QdxxZQA3/+y1rPuI2eS8jZ4GrV0p/V3ucaByrkmcxbQzu63kjjvuwPHjxxGLxfDmm29i8eLFpreBneiZcSaM3mgtz6f2/AI5febzurFV4DvfXjEXE2sq8eCy2WjnnMPADUTmtuUbuw9i8/WzVL0n1kg1jKvQdDYiQWhFSnYm1lSK/n04Kj5G7Vgyxed148qLJuDOJc155660N/vx4LLZePD5d/J+J6f0uZ2QcobZs3RiySS+/vlL0B7IfsdsqVkgzfs7Qh1y34se5W7lBpvU+ByhCIN7nzmUZ8O6eoN44Pm38aXLGrM+H1dZnvdMnV19WNPWxDv27lzSjKsumqDI51H6LEaeU+00nOx7Wo3oGVpHBlHj4c8XbplSm5Gfzq4+rGltyrNJG5bOxI/29gpWFJGrj4XeL6vn3z09gm/eMAczzhsn6CtbNQ700IV2KR9OcqYeM/vOzPEi97mk7FU4lpB1HaX9aLbsTK714KHlc/C937+b51909wbxRHcfvvbZi/LOO2YR2r0i1n9dvUGcCEbIv1WBHJ/Wzr6WXjuW5caGpM7yFEPNsUN8bXlg2WysfWo/r8/RGqjHA8tm5+kBO+kNsqMEQRQrdrOncnS9Up0tx6/IvabQuk13bxAPPv82OtqEK6hVlrtU2WQj167U/O7KiyaQXVSJoTu7W1paMmXMpdi/f7+RTbEFTi0LrbU8nxbHWE6fSX2nzluO9dfMwOrQGGKJFKaM9/BmzgJnFdhYPKXqPbGKcWXOYoCS5yUIvZCSC7G/i5VIA+xbMmVSrQdetwsP3zAnrzTO8WCY97mkSi7b7VnlZ9WXYNuL72NeYy1Wt07LlO/pOTmMp147gTuXNAv8jlCD3PeiR7lbuTZVjc8h9hzdvUF0cMoyC2WURpgk1j7Vg39dfCH+/bPNSKeBqgoXqtxlqnfpKXkWuyyA2QWn+p5WIzWOEsk07w4qbgIVXznOafVelLtKsX7XQd7rKtXHuWXnuCXFv8cpKe7zwlbjQA9daKfy4SRn6jGr78weL3KeS0rPjETjuHBCtaz+UdKPVsjO6FiCt+ILcHZh+quxBK+fLrZ7Rar/hqNx8m9VIMentbOvpfeOZTmxIbXVTtQeO5TbluPBMAZHGd4S4D0nhzESZQBU5V3fTnqD7ChBEMWI3eypXF2vRGfLjZVxrxlLJAXXbfb1BkWPC/N5yrOqosjF6LUrNb8ju6gOQxe7b7jhBiMv70jMKPMrdb6SUrSU5wtFGHjKXXj0lgV553KxSDnGcvpM7Ds+rxujsQQefuEwunqDePSWBaLXOjMWx/SGasV9xipGpy2eEdait7xykZIdob87uSSn0DNVC2ThsWVe5ZZ8swp2nATD8nbdl5WW4ObLp/KW/VnT2oRQJM77O0Idch1jPWRLSbBJqc8h9RzsQl5uRmnuM0WYJH74xyPYf2JItPSWnDPOs/5e7ZacuNhpAcwumOF7FhpS4ygUiZ+rkoGM/fC6XZhW78XjqxbynkcLnC1JqndQQ+77NXIcKPVl9NCFdvNVSM7kwzde1ASllGDFeJEaE3Ltld4y7q924+oZDbh4Uk3e+dnvnR4xpC+k9J67rDTv/UjtXpFz1iH5t8qRY6Ps7GuxO6XklhaX87xqYkNisDowFGWw8/bL0X00mBcjkzp2iAs7z80tAc6yfP75gm1RojeEdOjVMxpQXVmGowOjmmIaZEcJgig27GZPlR4hJ0dnK61i4vOePfZGDXz2qLqiDOFYAqGouH3S+i7U2jCp9Syyi8oxdLF706ZNRl6e4EHOmaFKUTphEGsLey7Xup09iDDJvHPL1C76Sf32/DovvnXjXKzffdCwxWhWMWpZPDNy4ZOwH0bIqx4IyXz7ubPLnDgmhZy2zq4+dK6+FK6SElVnrYUiDAbOxDAcjaPK7UJVRRlqPfqdMQlkj5PHVy0U/S6rv+qr3NjywmG0NNblZfc/9doJzJzs4/0doQ4lAWstZ/sB6gP2XPtSXVEGt6sUw1EG1ZWf2Bqp55hW78WLd12RlVGqp4/A1X9q9aMeCxpkiwmxcdQaqMcb5xax2R1UiVQaTfVVePD5t7N2L7YH/Nj5r/+AriMfoWVKHUJRBt4K8emXlfpYzdhXI6t66EI9rkGYj1W+r9LxYoYdsCphw+d1Y8PSmVi/+2DWwlhboB7fXD4HH4cZHBsM6/rcUv5FTWW54t0r/mo32pv9vLuFWgP16Dk5LLrIR/Ajx6c1a+yqlUOrdyyLtZtPB7bxxMiU2DE95gZS/SukQ6+e0YANS2fi6796y3YxDYIgCLtjx+RdvedXcuxsrj2qlpgvn1/nyfMBhexRW6Aeq1ubsmwsn32yi29DsSjtlKTT6bTVjbAzIyMj8Pl8CIVCqKmpsbo5ooQiDNbu7OGd8C1u9ovurpJ7fbkTULG2tAbq0dJYhwMnh7F1xVxM0hDUBpQFTUIRBsOROO7bc0h2P8lVNKEIgzt39uCNE0PYtrIl73wJ1jgInRVh14VPp2J32TVaXvXg70MRnAhGMByNZxZK3zs9gvuXzXbkmDw1HOV12r69Yi48bpfi8jCnhqO4+9cHss5dZc8lnjreK+tcGClyx8naJQH09A8JJtNwx83p4Sj+/P5HaBhXkdm180Eoikk+D7761P7M7gG7jDcWu8suH6z+F3KM+ezKwJlYpuyw0iQJobEsZGOEks/WnHP6F06tw7dWzEWV26XoOXL7QA8fYXGzH9+5aV7eJEVuO9jnVdI/ub8lW6wcu8mtHpNEoXF0x1UBdDzxetYOrLVLAvif/iF08ejm9oAf18w5D+t3H5L8rpX6WM3Y1+rLKNEbRl6jmDFTdu3g+8oZL2baAS32Si1i76EtUI/5jXWZRXC9nlvMT2oN1GPp3Mm44qIJovfh0+ujYwncvetAlj5l/Ztf/rUf3+Uc51BoyJVdpfZQrk9r9Ng1Sw6V+vBSiLW7yu0SlL32Zj82Lp2J0pISVXZMj7mBnP7N1aHVlWWafPZixG4+s1PYv38/PvWpT+Hqe3dgfOPFul77+Gu/x2ud96Ptaz/C+TNabH9dAPi4/z384Ztr8Oabb2LBAvHqpYR2jJRbK3xBKZTOr8R8DSk7u+XGObhn18EsO7Llxjl44eBpUdsCQLY9YtehuP4tn32y2rehWJQ+GLqze/z48Xj//ffh9/tRV1cnen73xx9/bGRTigL5Z7mqQ0n5BKlzPzdcOxO3tzXB53UjFGHyhJlt8z1PH5AMriv5LfsMW2VmKilRNNwMKO55SQBwQZ0H59VU6vYchPMxWl61EooweQ4HSyzhzDEpleWv5HlCESZvoRv4pJzt0rmTcc3s8zT3Ue446ezqw7Zzjh1fMg33fmkALxw4ndXG9kA91rQ1if6OUI7SDNgwk8QDz7+j2olVsmNFyL6w46ejrQnb9/ZmbI3aTF69fISXjwxiKKxNP6o9M4lscWGg1yRRaBxFmCQWTq3LkpFFF9aLnCs2iNWt0zL/5urxLgk9bhZqx75WX0aP0mxU3s052MH3lRovZtsBK86pFXsPXb3BzBENgH7PLeQncRPvfju1TvA+Ynr92yvm4nhOcu4v/9qPB5bNLnrdYGTlDSPHrplyqOcuNql2b1g6U1D29h0ZRGlJieojHfSYG8jp31wdenRg1HK9ThAE4WSs8AWlUDK/kvI1xOzsw8vnYNOzb+fZkQeffwedqy9FCSBqm+Xao+7eYGZ9BhC2T1b6Nt+5aR7FonTC0MXuH/zgBxg3bhwA4Ic//KGRtyLAfw6C1+1CR1sTWqbUnj3r9aNRU0ogSJ3JMBpLnCuPxqCspARvnuA/j0HKQWYn69zn5J47Fgzz/1aOAlMzCVCrGO0Q/CHMRe8zO7XAl4UX1LjYZFfUBMUF+6dX3JFi+0jLDsPccRJhklnJNOMqy1Ff5RbWXzlt3NcbBEpKsOerrap3DhD8yNX/egXw5I5lqeQz1uln5Xp6Q7WiYBl75qC3ogylJSUoKy1BvcQYZ8e1kO0eGUuIPpMc/ahG1skWOx+9A+R848jnRZ6MhKKM6HXY8+6BbD1+37UzMRZP6jKRViuPwNmx/+aJIaxdEsiTx86uPsGxbydfhrA/eowXo0v7WWEHjE7YyO0zKX3FJFNZ/9bruSfXevDgstno/Wg063gdtqyk0H3k6PVZk2syOnn5/PPhP5dUX8xosYdyfVqjxq7ZcqhXcDsYZjBvSi1WL5qWsaMH/jaMkhJg9mQfhiLisqfVZuoxN3j5yODZuOG570npWvIDCIIgtOPU5F25voaQnQ2GGfzx8EDedSNMEh1PvI7frmtHIpXO+g2ArDO5WfskZY+YZCprrsskkghF8v0JsXehZR5i9IYP4hMMXexetWoV738TxpB7DoLX7cqU0+buNjGjBILUmQyhaBy3PvkGgLMlm7hnFOUi5iCPjMUFn7M1UI/lLcLndEkZE7WTLDVGiiYJxYcR54OpQSgLb9P1s+B1u3hlEiieMam2f2KJFMKxuOYdhnzjJMIkM7ruxbuu4N0BIKa/tO4cIISRo//NDuBJ2RfuIhwr13KeQ6w0+pYXDosed1BTWS5qu5fOnSR6b6P0I9li52OWfPHtbBKjoqw069+sHv/sJQ2Y31inuT1a5BEARmNxQXnctrIF4Rj/2LeLL0M4A63jxYzSfoVmB/j67KnbLhf9zQV1njwfV6/n/jjCZGIAfPDdR45en95QTQHAHOxQeUMtVsihHs+bBtDTP5RlR9sDftxx1XTc+uQbmbKrQphlM8X61+t2IQ3klVsX0rXkBxAEQRQvSnwNPjt7bDAseO0Ik8RQhMmaK4vNBaTs0QV1Hvz3qydUr49pnYdI+TZ6bPggzlIq/RX9SCaT+PWvf40HH3wQDz30EJ5++mkkEuIvk5CPv9qNxc3+zL872pryzo0GPsmwCUlklurZFi6tgXr0nBzO/HvfkUHs6O5DB6e0LhcxB7mmslzwObt7g9j87Nuqn9PMSRZNEooPMRlZ3OzPZKwZiVgW3uZn3xaUSaA4xqSW/qkoK4XP4xbNcpSjm9SOk0IL1hYSZr8bKfvCXYSTK9dipdF3dPfh4kk1omPcX+3GhqUzBW13T/+wJfqRbLHzsUr3+avdaJfp93LRY0xplUcAqPW4BeVxR3cffB5+mbODL0M4By3jRWrniF7z2kKyA0J99sqxINoD9by/aQ3U4+DfQnk+rl7PraZ/yadVh5P7zYlyGIow2LznUJ4d3dc7iO1/6kVHWxN6Tg6jVUD2zLSZYv3b0daEzXsOyda15AcQBEEUL1p9DSX2XmouUF1ZJmiP2s/5t2rXx/SYh0g9a02l+H5kO/o+dsW0xe5Dhw7hoosuwqpVq7B7927s2rULq1atQnNzMw4ePGhWMwoa9hwEVrhbptTmCTILm2FjVltY2F0mnV19WZ939wbRMqU27zpXz2hAdWUZjg6Moqd/CEc/Gs1SIv5qNxZdWC/4nPs0PKeZkyyaJBQfQjJi5pmdUrt/F11o/WTcSrjHJKxdEsDjqxbi0VsWoHP1pZg3pRZt04UDhQNnYmCSKcksRynUjhMnBokKjVCE4bVdZr8buclnSuRaqjR6y5Ra0THu87qxoFHYR3nw+XfwwLLZputHssXOxyrd5/O6sWX5HLTlBLHbA/VYe1Vznt8L6DemtMojcLasm5A8dvcG88oas+jhywjpSqLw0DJe5Owc0YNCsgPDkThWL5qW8V3XLgnA63ahs6sPG5bOylt0Y+fpD/3mcNa8XM/nVtO/5NOqw8n95kQ5HBxlzh4XxYGdQ3a0NqFtuh+XTh2P//z8JXmyZ+b8HxDv30UX1uc9BwufrrVDTIMgCIKwBq2+hr/ajatnNOTFW9cuCeDqGQ1Z9l5qLhCOJXjtUVugHhuum4WHfnNY8LdS8wg95iFSvk1dlfN8H7tiaBlzLrfddhtmzZqFN954A3V1Z0sQDA0NYfXq1fjXf/1X/OUvfzGrKQUN9xwE9qwdIYzO5s09k8FdVooXDn0gWK48l6tnNGDD0pn4+q/eEiwT4fO64S4Tz9lQ+5ysInqZR6HprWjYScI9Tx/Iuh9NEgobvc4HU4tUFl5FeWmeDBTTmJQ8JmH++fjsjIasM2ZaA/W4c0kzpo334vTImOj15eomNePETP1F5CNW4sjsdyNkX9ig9rqdPYrlWm5pdLExLuYHRJgkRqKM6fqRbLHzsVL3XTDei60r5uJEMILhaBwVZaU4+PcQXKXAp6bW5ekDvcaUHvI4GhOvtBUW+bsWX8aMstSEvVA7XszapVooduDUcBT3PXMwa9GKPZZg3c4e9AXDaGmsQ0drE+/52aze0Pu51fQv+bTqcHK/OVEOc3WU0BxyySUTcPc/XoLBUQbVFWWor3KbOv8HxPs399iVXPh0rdUxDYIgCMIatPoaPu/Zin/rdx/MspVtgXo8vHxOlh2RLAMejePCCdV59qi6sgx/G4qIxp+k5hF6zEOkfJuJNZWO833simmL3W+99VbWQjcA1NXV4Zvf/CYuvfRSs5pRFGTOQZA4P7Cq4uyO6ZGxOGo85fBX6e+Qcs9kODowmqW8cmkc78WLd12RpZByF7qBT8pEPLKyBT6vG3USbebLJApFGAyOMqLPbvYkiyYJxYmV56FJZeHVetyCY1KODBmN0W2QPCbhubfx3Zvm4e5/jCMUPbswXuUuQ623HD6vG2GJpB4lOyqUjhMnBokKBakSR4+sbDH93eTal6qKMrhdpQhFGTy3tk2xrZFbGp0d43yyKnWNqopyS/Qjt6/CsTh8HjeYZAofjIwhEk9aousI+cjRfUbajvPrvKiuKMvI2nVzJ8Nf7cZ2A/07pfKo5hpS9kqNrMrRlSRrhYma8WLmLlW5czK1usRo/zUjWzy+K3C2THFZaYnovHxa/dl5uRFzUaVzXvJp1eH0fnNabCRXRwnNIfe++xFiiRRaGuuwfP75mN5QLXhNIV2hhw4R6l+p3WlCutbKmAZBEARhDT6vG1tXzMWf3/8IDeMqEEukUFnuwocjY7jqogmSdiEUYXDvM/lHgHT1BnHfM4ey5oNy5wJ89mhU4jxsqXmEXvMQKd+myu3Cg8tmI8wkEGGS8HnK0TCuguyrQkxb7L744ovx4YcfYtasWVmfDwwMIBAImNWMgkPM0RXLsGlv9uONE0NYv+uTEvJG76SQyvjJFeCjA6OSZSJ8Xjfvdb1uFzramrDownqEogyOfjSa6Rslu0jMnmTRJKF4sMNisZwsPL4xaYedWGa0gT0mQSgYuO/IIEbHEmieOE7w91buqJhc68F3bpqHoTCDkbEEajxlqPO6MbGm0tD72gWrZExOiaPpDfkZp2bsWs6/flWmn44NhmX3k9jYZkujs2NcSFa33DjHtjuO2L6yg64jlCPmu/G906tnNGDz9bMwFk/poi+EfDmjy++LyWNboB6V5cK7taywV3J0ZbH7xHbwFfVC67NYURVFrH1q7YMZdkXqaIOO1iYMnImJ9uf55yqoGQXbv9k+CCM4Lpy28GkXqtwubFg6E8PROKrdLng5SblOwEmxkVwd1TKlVnAO2d0bxFevDIjqLSF/ZcPSmbj3mUO66BCh/hXTDWWlJejpH3K8TSIIgrCaQvHz0wBeOHAa+3qz7dIVF02Q/K2S+aDcuQBfv2qdR+g5DxGyvWJzBJ9X9uUJGLzYPTIykvnvhx9+GOvWrcPmzZvxD//wDwCAV199FQ888AC2bt1qZDMKFqnJslg27x1XBdDxxOtZ18vdSaG34lWaXSy3TETudYVKRi1u9uPh5XOw+bm3JXeR5D17tVs065YglGCXBRQ1Gf922ImlVxukdJzPq+2YBD13VKjRx3YZZ1Zg9LOLvQ8ltsvqyYzafhIa22xp9F/+tR9bV8wFAEFZ3fzs23h4+Rx8Y/dBS3YcScmUHXQdoR4++eK+UzYpcmFjHSbVVuKenF2QRutKPX1sKXl86rUTWN3ahM3Pnq1GIrQQb/YOQLPKUjuVQrLhejyLnXapqrUPH46M4fhgGCsva8Sa1ibs7x9CZ1ef7nZFSrYA4KqLJuCKiyaY3p+s7hs9VzllwzOH8oKjQuPCDn6Tk7AiaFoogXs15Ooo9igAISrKSwX7JhRh8NL7H2H1omlYeVkjKstd2N8/hHJXCdbvPpi3A05PHSKka9vPxRC/sG1fphSsU20SAfT392NwkH+BSSt+vx+NjY2GXJsgCgWr/Hy97fQn1YTUxUyUzAflzAWE+nXrirmy5xFCfWTkPIRiT/pi6GJ3bW0tSkpKMv9Op9P453/+58xn6XQaAHDdddchmZQ+w5n4BLmCwJcFXVZakuWk5v4+GGYQZpKGKF4lWdnjvW48vmphpgwGGxBg280tE8G9biqdxgPPvc07CVi/+yDmTanNOmPXrGcnCMB+RkzpTgk77MTS0gbWcRmKMIgnU+g+GszoFT45V3NMAhc9dqKocYTtNs7MxOhnl3ofZpZa1YLWfuKObbaMv6u0BK7SksyCmliFlj8cHsD6a2ZYslPr1HAUG/ccwiWTatAypRanQ2MY8JajcbwX59edjQDbQdcR+WiZoLPvlJsUCQA9XUOGBo5zMSK4wcrj6ZExDJyJoc5bjkQyjVAkjpmTfZlzeMXGrdk7J52iK62gkGy4ns9il929auzDqeEo7v71W4JnaMv1X+XoPinZahzvxXnndI2Z/cnVfWuXBNDTb67uLSas0CGFlKCjFq6OiiXE45u1HuEdaMOROJ4/cCpLPloD9di0dBYee+kY7/X09E35jj9648QQOp54PSuGSPLqTPr7+3HJJTMQjUYMub7H48W77x6mBW+CEMAqP98IO601ZqJ0Pig2FxDr17vP9auU3yvVR3r4zXx2Pxim2JOeGLrY/ac//cnIyxc1ShRKbhZ0T/8Q70I3SzKVNlTxysnKPjUcxX05md7cgMDCqXV5ZSLY6x4dGM07o4xl35FBrGltEryv0c9OEHZcQFGyU8IOO7HUtoHPcckNNObKuR7lapT0b67jU11Rho17DinWSXYcZ2Zh5LPLmZhYXb5eLtyFv462JrRMqc1KLguGpftJamxLyepINI4LJ1SbviNv455D+NJljXkVYNoC9fjWjXNxwXivLXQdkY3WCTr7TrnnaHa0NgmWGX35yCBOj4wB0K8EuZHBDZ/XjWODYfw/j/9V8DtS49bMnZNO0ZVWUEg2XO9nscPuXqX2Qc4Z2tv39iryX8V0n5yjw1j07E+xBflc3SdW4tlpY9yOmK1DlNi2Qt/9zcpUKMJI2jgh2b7jyuno6R/O+k13bxAPPv92Rl/woadvytUNRwdGs44/5ELy6jwGBwcRjUZweccm1Eyapuu1R04fx2ud92NwcJAWuwlCACv8fDVzUDn2WmvMRM18UMh3lXucoFhiqZw+MmLjzKbrZ8Hrdgmu1VHsSRmGLnZfccUVRl6+qNGiUKQyZ5KptKELBVLKUqgMBhsQ2LB0Ji5rGo9gmAGQH4CU6huv2yWoRIx8doIA8sdn7kITk0giFLHvOJPSHzWecsODGGp2gwk5LrmBRr5kIbPKZvI5Pu3NfqxaNA2vHA3m6SwxnVTMC3VGPrtcB1qPMWO0HI2MxQWP/WgN1GN5y/ma76FUVs0IgA6OMrhkUk1msZNLV28Q63cfxPaVLbTr1GbosUjMvlPuIotUmdFjH4Xx8G8O67YzTUlwQ408OGnc2qkstRaM0FuFZMPt+Cxq3xn7uwqJI25y5UzOGdp8v2PvqVT3WSFbUgvyuX0gpXudNMbtiNlyJ9e2FdPubyk5BISP+kmm07yL2vt6g1jN2biRl7DqdhkSR7CjHie0UzNpGsY3Xmx1Mwii6LBCpypdYJdrr7XOPfX0WdUko3LnAymD14PEfPrNz4ons7H9WOgJg3ph6GI3H5FIBP39/WAYJuvzuXPnmt0UR6NFoUhlzkSYhOi11SpeucpSKiDwvz57Ea57pEuw7LCcxXw+JWLksxMEC3d8ip0vb9dJv5j+uHpGA9yuUqzd2WNoEENN9p/cQCOQL+dmlM0Ucnz2HRlESiDgwddWFicteOiNkc8u14HWOmbMCAbWVJZn7XDl0t0bxOZn38Z2jdVMlMiqWQHQkbG46I6yfecmMrTr1F7okQHPvlPuIovUolVFWamu1X3k6hC18uC0cWuXstRqMUpvFZINt9uzqH1nuSW4WwP1ebaTvVaunEnJfSyRUuW/iuk+M2VLzoJ8bh8oTRgglGG23MmxbYV0PINcxORQ7Kif3LkpH2bGEeymxwmCIJyMFTpVyUKwEnutx9xTL59VSb/yzQceX7VQ9Pda14PEfPp9Rwbxb1dM541RSVWDsevagZWIzzJ05KOPPsLSpUsxbtw4zJo1Cy0tLVn/I5TBKhQ+pBQKmzmT+/tM5oxH2xm1fEgpy1Dkk+QHKSU8cCaW2eHI93t/tRvtAn3TGqjHX44FsejC+qzPjXx2OxOKMDg6MIqe/iEc/Wg0qx8JY+DKrtBCE9+4tgti+mPz9bOwfvdBWXKuRxuuntGAtUsCeHzVQjx6ywLsvP1ybLlxjqqdztzFDz4593ndmN5QjfmNdaKlb9QitRjfMqWW929COkmLjXA6Ys/e3uxHdaX6PD8lDrTaMaPEXmrBX+3Gogv5g/XAJ4u+WpD0NwTKm7IYoQtrKstl7SiT23bCHPTIgGffaa3nEzntOTmM1kA97/dbA/XoOTkM4JNFJa3I0SFsqf15U2oz9q1z9aWYO6UWm/YcEpUHJ45bo+2rURiptwrJhtvpWdS+s9zfdXb1YU1rU57uEJIzKbmv9ZQLyqcW3WeWbMlZkM/tAzHd67QxbkfMljuxMe51u1DndeN0aExynBQiQnKoZG7KpaGmAq2BelPjCHbS4wRBEE7HCp3KZ6e9blcmnhpPpTNrAnL8Oha95p56+Kxy+1VoPiCF1vUgKbtfUV4q2I+AcDUYu64dWIlpO7u/9rWvYWhoCK+++iquuuoq7N69Gx9++CEeeughfO973zOrGQWD1lIPQpkzAMAkUmhv9vMKvlrFqyQrXSogkJsJzld2ePP1s7Bxz6Es5781UI81rU1Yt7MHSy5uwIt3XZGXNSTnbKVCgbKCrIEru049r05IfxhdnjW3DZuum4X1uw7IymaXq1esknM1AQ+xthZKeVg1CD17a6AeqxZNw327D+L+ZbNV6Tkzdk2adYaTz+uGW2JnlR7VTORk6pp5bpW/2o0PR+QlLbBtHzgTQyh6tux7VUUZvG6XLm0h5COlw91lpTj60aikLZlc64GrtCTj53Z29WHbyrNJt0I+I4se8iBHhwTDDO+Z8mybgmFxeXD6bmmnYKTeKiQbbqdnUfrOWF81lkhm/S7CJLFuZw862prQ0doEn6ccdV63oJyJyX17sx/TG6oxsaaSt11O2FE5JBFgOzMWR5O/KqsPhHSvE8e4HTFb7oTGuNftQufqS3HfM4ew8nLx83uLrYKe0pgXcNYPePHwAFoa6/D5WRNNiyPYSY8TzuDw4cOOuCZBWIEVOjXXTotVB1n3mWbRa1lRCVMOcvtVaD7AJmLKrdykFOnkV7eqajB2XjuQwqiy7KYtdu/duxd79uzBpZdeitLSUkydOhVXX301ampqsGXLFlx77bVmNcX2yH3ZWhWKz5v9XXbx880TQ9i2sgWpdFq3yaeSrHSxgAB3l43Q7wGgBEBLYx06WpsQS6RQUVaKnpPDWLezBxEmCZ+nHNMbqvOuUyyOfDGWEbMCIVlmZff9gVHR39t50p+rPwDg2GBY9Dday7NyCUWYs7vIBbLZc8ewHL1ipZzL2fXDRU5b7eJ0WsHkWg++c9M8HB0YxXA0nmcDYgl1es4MG2HmGU51Eu3VK4jOpy+4mPnMPq8bU+u9aAvUo0vGRCbMJPHA8+8YmhhGZy9JI6XDXzj0Abbv7ZX1bibWVGIrR47ZRatvfGEGTnwcydMXLFUVZTg6MKrpPcnRIR+eiQkeLwAAm6+bJes+NIaMxWi95VQbzqfP7PIsSt4Z11d99JYFed+NMMlMcPCZOxbxzitZpOReaKEbsP/RBKEIA0aiWsq4yvK8PmATBjYsnYmNS2ciyiQdM8adgplyJzTGNyydiR/t7cW+3kGsbp0meg07JG6YiVQSzMCZWNZn3CS8CJPEzEk1oteXa4PMij0SxUE0FARQgi9/+cuG3SMeox2MhPMxW6fm2mmx6iBfuWK66LWEKmHawR6wccChMIORsQRqPGWo87qzfG2h+QCbiFlaUpIX+9Ej1ifHpxfqRyvOeTcaIzdgmrbYHQ6H0dDQAAAYP348PvroI1x00UWYM2cO9u/fb1YzbIGYQ6n0ZeulUHIXP7nZ6gDQON6LhnEVqu+ltPSr0K683F02fL8HgPoqNw6cHBY970CIYnDkzdxFV6xIybLP68Z4BQtNTlgMkVueVY9EC6VjWEivtDf7cf/1ZxcObm9rsqxPpRyf6Q3VvNUopLCL02kFo2MJ3Pyz13j/pkXPGW0jzNzFZZcguhHPLKYzz6/z4ls3zs07dkFpeXU9EsOoyoo85PqGct8NnxxXV5Zh6+/eFQw8v3FiCOt3Hcx8piZJix2TG5bOhNtVilCUQVVFtg5JpdKCxwt09waRTKVl3Y8wFjN0tdNsuBzfl4U9SslMv1buO8vV/XqcL63Wd7B7IvbgKINXjgUFd8K0c3yJYphj2w0zdQjf+02l0xm7afSOKachJdtetwuXTRuPM2NxVJa78PzB01lJeEr0kpBPbFXskShc4pEzANKYf/PdmNB0ia7XPn3wLzj07E+RSCR0vS5BWIXZOpVrp2OJpGB1kFeOBXWv9qsGNTFwOXZNaD7AJmL+dl07Eqm07r6qFp/eCZWelGB0nM20xe6LL74Y7733HqZNm4b58+fjsccew7Rp0/CTn/wEkyZNMqsZliMmeFVul2W7bXMXjrjZ6gDw4l1XaLq30oB67mSpqqIMb5wYyttlI/R7rYGBQnfkCzEryE7IVdxy5cIpiyFynkevRAs1Y9jOQTY5u34miifwEzkYqeeMtBFmLkDbJYiu9zPL0ZkXjPdiu8Xl1anKijK4OnwowiAUjfPuwJb7bvjkWEge7rgqgI4nXs/6rpL3pMSORxjxIF6uH0xYg12SheyCEn1mlV8r953l6n69FunU+g529l9HxuKix0Hcf/2svORTO7SbMIbc99vTP5T5bypdn4+UbLP/f2IwjJ7+oSz7L1cvCenbh5fPwebn3iYflDCE6oZGjG+8WNdrjpw+ruv1CKIYYe001z7n0tnVh+fubMP9z75tWYxIzVxBjzj8wql1qPWWG/aMan36Qpt3Gh1nM/XM7tOnTwMANm3ahM9//vP4xS9+AbfbjSeeeMKsZliKlOA9uGy2ZbttjV78VBNQz50sVVWU4bdT6/J2ZT68fA6VWlJIoWUF2Q25iluOXDhpMUTO88gtdS6F2jGsJshm1q560ln6Yrae02ucmL0AbYdxp+czK9GZUvrAaN+IqqwohztBv/XJNwS/p/bd8MlDWWkJvrBtH+8is5z3pNSO+zwSi/Qe43w0J1SRsQt2SRayC3L1mZV+rdx3lqv77bBIp3aR2GiZrqkszzvDnHuEGFHccH1xvnFyob8Kk3yVpupLu9k5ObI9HGWw5lzFRVYHdXb14fFVC1GKEuzrVR5HWL/7IOZNqcUfDw/k3Y98UIIgCGeg1qaJxcoiTBIlgGUxIrVzBT3j8Eaixqe3us16Y3SczbTF7ltuuSXz3y0tLTh+/DjeffddNDY2wu/3m9UMS5ESvLDETg4jd9uasSigNaA+udaDLTfOwYlgJOsM1vufexv3L5tNpZYUUGhZQXZDieKWkgunLYZIPY9eusasMWz27iPSWfphpp7Te5xYcYaT1eNOr2fWU2ca7RtRlRX1GPlu+Hamie2mlnpPSsekVT6aU6rI2Ak7JAvZBbn6zGq/Vs47y9UvuYt0Pk856s7tDLHzuzZDprn6Krcc5uJmP25va9LlPoQzybVn3OqBi5v9pidtO9XOVVeUY+X/fi0voeSvxz/Gp6bV4d5rZ2Asnn/uvZi+3XdkEKsXTRO8J/mgBEEQ9kaLTZOab9ZXCZ8fbTRq5wp6xuHtiBPbLITRcTZTFrvj8TguvvhiPP/885g5cyYAwOv1YsGCBWbc3jZICZ5UWUIjd9tqCawpySTSoixDEQb37DrIq/RiCXvtcLU7hZYVZDeUKm4xubDzYoiQ7Is9j15BfDPGsJN21RP5mKXnjBonVkwurN7toscz66kzjV50pCor6jFzQVjre1I6Jq3w0dToMav1hV2wQ7KQHZArJ3bwa/neGXc8V1eUYcuNc/Dg8+9k5ufsIp0VC3RqMMuHpTklIYadxoeT53XVlWX42f+zEMPROEpKSvDO6RF0dvUhwiSxuNmPNYumqQr8xxIpwb+RD0oQzuDw4cOGXNfv96OxsdGQaxPa0WrT7GSfc1E7V9AzDm9XzGizGXN8o2M5pix2l5eXIxaLoaSkxIzb2RYpwfN5yi3bbatW0ZmZHWv1ToBCo5CyguyGnorbroshamVfT6fK6DFMOsf5mKHnCmWcOHW3Sy566kyjJ4FUZUU9Zk7Qtb4nNWPSbB9NqR4rFH1B6IdcObGjX8s3ntub/ehcfSk6nng9s+BthwCgXMz0TWhOSYhhl/HhVH+dTz+1BuqxbWULfvnXfjywbLZgu6X0ba3AsSjkgxKE/YmGggBK8OUvf9mQ63s8Xrz77mFa8LYpetg0u9jnXNTOFSi2oh2z5vhGx3JMK2N+5513YuvWrfjZz36GsjLTbmsrpASvYVyFpZk1ShWd2dmxdtgJUGg4MZPJCeipuO1osLXKvp5OlZFjmHROYWC0niuEceLk3S656K0zjZwE2jmj2gmYNUHX+p7UjkkzfTQleqyQ9AWhH3LlxG5+rdB43ndkECUAfruuHUMRxjYBQLmY7ZvQnJIQww7jw4n+upB+6u4NorSkBN+9aR4m1lQK/l5K306t9+b9nXxQgnAG8cgZAGnMv/luTGi6RNdrj5w+jtc678fg4CAtdtsUvWyaHexzLlrmzhRbUY/Zc3wjYzmmrTq/9tprePHFF/F//+//xZw5c1BVVZX19127dpnVFMuQI3g+L7Jedo2nHFUVZRgdS6Cnf8jwMoFKFJ3cTCK9SiDYcScAQQihl+JWa7CNLD2iRxah3Zwqvv4inUPIoRDGiR12u+ils4yY5EjpKy1tt2tGtVMQezd62sEqtwsPLpuNMJNAhEnC5ylHw7gKWddzwsRbiR6zg74g7IkcfSYkD1fPaMDm62dhcJTBscGwaaXxpcZzIpXG/MY6Q9vAhebNBGEMRsqEUfNuMf305okhjDFJHB0YFbyvlP8xiXxQgnA81Q2NGN94sdXNIEymkP08IdvV3uzHputnIRhmMt/LRUtspdiP6LJijm/UuoBpi921tbVYsWKFWbezLXKDAOy/Tw1H8fVfvWXLMoFSmUThWFzXEgh22wlAEFLopbiVGmyjS484MTNeDKH+2nLjHNI5hCSFYJuslmm9dZaZC8h6tN1uyT+FgJ5jSuxaPq+8a9g9qUGJHrNaXxD2Ro4+y5WHGk853K5S3LProOlzXjuNZ5o3E4RxGCUTRs67hfST1+3CtpUtuO+Zg9jXGxS9r5T/QT4oQRCE8yh0P49ru4ajDGLxFF45FsR1j3QhwiRF7awau0ZHdNlrTqSVUrNutGPHDtH/FQvcTJFxHm1lwkMRRtd2HR0YRU//EI5+NCrr2tJnkLt1bT+b3bO42Z/1uZ12xhCEUfi8bkxvqMb8xjpMb6i2VG9IyX6l26WrfjISsf7a/OzbeHj5nDydw80odMpzEsZRCLbJysxguTpLqZ8iV2ea0Xbu95X6WsWEXv0j9V4+HBmTfR89baoZY1ItSvRYIe8kIMyDKw/1VW6s333QEl1ql/Gst/9eCL4JQeiJHjKRq3s+HBkzdN4tpJ862pqwo7sva6Fb7L529j8IgiAI5TjFz9Pis/u8bvir3fjhH4/g5p+9hu17exFhkgD0jW+bufYmtz1WxIzsMifSA1MPz04kEvjzn/+Mo0eP4uabb8a4ceNw6tQp1NTUoLq62symWILSTBGzSgiozWCRyiRikinF7ZcqG2H3nTEEYTVm6A0x2W8N1OP5A6dx4OSwI7LgxPrrD4cHsP6aGaozCvWm2Mvq2Bm5tsmu79DKzGA5OivMJG2ZaatE31K2sDh69o/Uezk6MIqbf/aarPsEwwzmTanF6kXTEEukUFnuwv7+IXR29RVcyW65eqzQdxIQ5mOlLrXLeJbqgw9GxhTrGirlSCihGN65Fpng0z1P3Xa5ofNuIf3UMqUW2/f2GnZfgiAIADh8+LAh1/X7/XQWuA7ouT5ihA+gh89uRnzbTkd0WRkzssucSA9MW+w+ceIE/vEf/xH9/f2IxWK4+uqrMW7cOHz729/G2NgYfvKTn5jVFEtQc9C7XiUExJSWlgPopc4A+mBkTFH75Qo1lVoiCGHMKD0iJPutgXqsaW3Cup09iDDJPB1ixyCKVH+NROO4cMLZZKzNz72tSlfqAS2U2R8p22Tnd2jlmcJSMhiKxk2XPbm6Sq6+1eJrFQNy+0ev9zIczf672HtIA+jpH8oKKrcG6rFtZQvW7exxVDkvOcjxsZ1wBjnhLMzUpXx6xA7jWaoP/jYUxXk1lYrbQ6UcCTkU0ztXIxNCuifXn8hFiY8g5OM8vHwO7tl1AF05u7j1ui9BEEQu0VAQQAm+/OUvG3J9j8eLd989TAveOqDH+ogRPoBe8Q8l8W218Wa7lO+2OmZUSHN80xa7//3f/x0LFy7EW2+9hfr6+szny5cvx2233WZWMyxDTaaIHiUEpJSW1gwWsUwitryEnPZbLdQEUSiYVXqElf3ToTEcGwyjoqwUPSeHMwvdQLYOsWsQRW5/WZntR/rR+TjhHVpVOUVKBr1ul6myp0RXOUF/OAGp/gmGle3ul3ovFWX5pzjxvYdQhMHmPYfQnRNgZv/d0dbkqHJeekKVlgg9MUuXCun3rSvmWj6epfoAgCm2wgn+CqEv9M6lEdI9fP4EF7k+gpjvGU+mML+xDmtamxBLpFBRVgqfp3BKjRIEYT/ikTMA0ph/892Y0HSJrtceOX0cr3Xej8HBQVrstgFG+QB6xT/kzhG0xJvtUr7bDjGjQpnjm7bY3dXVhe7ubrjd2R00depU/P3vfzerGZahJlNEawkBOUpLjwwWoUwiJe23g1ATRCFgZukRn9eNY4Nh3PGL/YLfOTMWt3UQRW5/WZntR/rR+TjlHVpROUVKBktLS0R/r6fsKdVVTtAfTkCqf5KptG7vpTVQj56Tw7z3yX0Pg6NM3nmYLN29QXz1yoCjynnpDVVaIvTCDF0qpt/vPqdHpjdYd6yav9qN9mY/r6/A6q36KuPlzSn+CqEf9M6lEdI9PSeH0Rqoz0uKA+TPu6V8z/uWzswrWb52SUDzfQmCIKSobmjE+MaLrW4GYSBG+QB6xT/kzBG0xpvtUr7bLjGjQpjji6ci6kgqlUIymb/T929/+xvGjRtnyD2/+c1vYtGiRfB6vaitrTXkHnJRkynClhBY3OzP+lxuCQE5SsvIDBYl7beLUBOE09GqN5QiR4fI0UVWIbe/rMz2I/3ofOgdCiMlg2USi916yp5SXeUE/eEEpPonmUrr8l7am/1Y09qEzq4+3mvlvgcpua0oL3X8RJAg7IAZutTOvihwtg8eXDYbrYH6rM/ZI4I6u/pMsRXkrxQf9M6lEdI9nV19WNPahHYN824p3ZRKpQXvm6svnFhqlCAIgrAOo3wAveIfcuYIWn18s2PoQlDMSD9M29l99dVX44c//CF++tOfAgBKSkowOjqKTZs24ZprrjHkngzD4KabbsKnP/1pPP7444bcA5B3LoDaTBEtJQTkKK0mf5WhGSxy209CTdgNO54vLRczS4/I0W3HBsOi17A6iCKnv6zM9iP96HzoHYojJoOhCJMle163Cx1tTWiZUgsASKXTCEX02XWkZrJnd/3hBKT6J8IkRH8v971UV5bhvt0HeY/Z4XsPUnJb69H+3pzsaxDFhdFj1Whd6oQFvTpvOZbOnYwOTrli9oighVPrTLEV5K8UH/TOpRHSPREmiV/+tR/fvWkeRscSqubdUropwiTz7h1hkli3swcbls7E5utm4cxYAl63C6WlJYjGk7r5xQRBEERhY5QPoGf8Q2qOoIePb4fy3XaIGRVKbMK0xe4f/OAHuOqqqzBz5kyMjY3h5ptvxpEjR+D3+7Fz505D7nn//fcDAJ544glDrg/IPxdAy0HvaksISCmtynIXjgfDeGDZbGzcc8iwA+jltN8OQk0QLHY9X1oJZpUekaPbairFM+kq3S7LJ+VS/aVFh2uF9KPzoXconzQAcDZzc2XvjRND2LayBTu6+7JKOuqln9VO9uysP5yAVP/wLU5zUfJe7l82G7GEvPegx3FCYpPFQvA1iOLArLFqpC6Vo9+tDvD4vG5ccdEES20F+SvFB71zacR0zwPLZmNiTSUm1si7Vq6eqa4QD8n6POW89144tQ5XXTQBKQAPPP8O+RIEQRCEYozyAfSOf4jNEfTcRc53D7PmB1bHjAopNmHaYvfkyZPxP//zP9i5cyf279+PVCqFW2+9Fbfccgs8Hvt0WiwWQywWy/x7ZGRE8LtKzwUwO1NETGm1Berx/MHT2L63F163CxuWzsS9185AlEmamsHCKo3RWBwPLJuNb/7mHVw8qQYtU2oRS6RQ5y1H43hv0QeCCWmUyK4Ydj5f2q5I6Tap81OfP3Aa750ewebrZ2EsnrJtFhn7nMEwg2QqjWQqjQiTQMTgDHqrnR6j0Ut27YzYO3x4+RwEwwyODYZtOe71QmySIOVYs7I3HInjvmcO5p1RqJd+NjLga4dsYT3RW26V7O7nondmOBc5uldoXEuNaanzg7970zxMrKmU/VwEIRelsms3v1itLpXS75XlpVi7s8fQAI+cYJkWW6FHMK7QfU4nY5S/bNU7tzq5RC7cdm5YOhNuVylCUQZVFcr9OD7fYMuNc9De7Octwcr6OD6vm1cvAMjTWwDFLexGMcx1CaLQKHS5zV2LMWIDpFnxDyNjOGYuAIciDKJMEl/7bDO+ce0MuEpK4CotQb0J/pHd5ntaMW2xGwA8Hg86OjrQ0dFh5m0VsWXLlsyOcCnknAuQOxjMPOhdaOLSFqjH6tYmrNvZA+BsGaT1uw5icbPf1AGcqzT81W78vOMybHnhsCE7tojCRonsiqFGrglx3Saki9hzCO95+gC+tWIu/uvpA1mLWHaUfZ/XjTCTND3jrdAWyrjoJbt2h+8dVpaXYtOzb+OPhwcy37PjuNeK2CShyu2S5VhnzmPKWejmfl+rfjY64GumD2g0RsitUP+YmRmei5juFRrXDy+fg83PvS06psV8jX1HBnF0YBTJVLqg9ABhD5TKrh39YjW6VCrpbNOz4jKr9RmVBMvUPJ+ewbhC9jmdjJH+stnv3Cm7h/Rsp1Ag+cHn30Hn6ktRAoj6OHx64ejAqO30M5FPscx1CaKQKGS5zbVtRm6ANCP+YVQMx8wFYDF/www7bsf5nhZMXex+//338ec//xkDAwNIpVJZf9u4caOsa2zevFlS4bz++utYuHChqjauX78ed911V+bfIyMjmDJlCu93nXD2V+7EpbLchecPnsa6nT15ZSHNHMB8SuNLlzXimy8cNmzHFlHYKJFdMZwg106E1UWnQ2M4NhjOOoewo60JO7r7HCH7Vma8FdJCGRe9ZNcJcN9hKMIUxW4MKZl5cNls2Y61GfqZgvzyMFturXwvfLpXbFyv330Q86bUZiWxcP/O7hATYzgaLyg9QNgHpbJbSH6xkB4JhhleeQX0mR8b7Tsacf1C9TmdjNF216x37pTdQ3q3UyiQHGGS6Hjidfx2XTsSqbQiH6eQ9HMhU0xzXYIoFApVbvlsm1UbIPXEiFiBWQvAdvCLCs2fMG2x+3//7/+Nf/u3f4Pf78d5552HkpJPDmQsKSmRvdi9du1afOlLXxL9zrRp01S3s6KiAhUVFbK+q9e5AEbDnbj09A9l7ZrOxawBzKc0WqbUCrbNiZkkhLkokV0xnCLXTsTndePYYBh3/GJ/1udOkv1Cy3izA3rJrtMolrEk9ZxhJiH6e65fYpZ+piC/NFbIrZ3ei9TO7NWLpgn+9sxYXHIsV5SVFpQeIOyDUtktNL+YT48cGwyL/kbr/Nhoe18s/kSxUyj+slPGq97tFAskR5gkhiIM5jfWKWpjoennQqVQZJcgiolClVun2GA16B0rMGsB2A7vpND8CdMWux966CF885vfxN13363pOn6/H36/X6dWacPIcwGMwi4DmE9pxBIpnm9+gtMySQhn4kS5dhJ8OshJsl9oGW+EdRTLWJJ6ztwqM7lw/RLSz4RdkBrXYnaNzTQXGsutgXr0nBwG/j/23j08yvrM/3/nNEkmIQcyBEETCCYqR4kiriRBxdpWS2uRH7tS+10h1q5LKftd10uliuKholt7WLQnd0Xtt5XuAcVD7W5bqXLQtiJxA4hKAAlKMCQmE5JJMjnM74/wDM/MPOd5jjPv13V5XTKZeY73+77vz+n+IHX8APEu6eB3rW4fWx3v0yWfIKmBV+zV7Ou0ws+kg38mhBBiHl6JwW7ArvEzN7yTVMsnMu06UVdXF5YtW2bX6QAAra2tePfdd9Ha2oqRkRG8++67ePfdd9Hb22vK8YV9ARbWxA6+m7W3oxUECn24eno5Vi+qxlM3zcNPbrwIm1ZcgtWLqnH19HLbDFjKaeRmK5uj4EiCoTAOtfeiqbULh072IhgKW3KNJD3xoq69hBBExWjVvhp6fINRP+KWCUPE+1htS0Zs3Ir4qnafxfk5CT5BID6xpn8mThGvjcJc5fnCJfnSdi/YtGDLDXG2XFddhpV1Vdi08wgAZT/AfJjYQTr4XancVECtg0eLDq2K98K5zcqjCTEbKX24vS1lla6S8TNypIN/JoQQYh5uj8FmIZef62k/WxG3pXDDO0m1fMK2ld3Lli3D7373O9x66612nRL33nsvnn322ei/a2trAQB//OMfccUVV5hyDq/t7Vjs92Hd4hlY+8LemLLB9dVleHjJbMXrDobC0X0Gi/JzECgwfp9Ss0aajnWjrrosYd9e4IwjOd7dn7CXwcKaAB5ZOgeTS/INXQsh8XhN115CCKJ3bWmO6r/pWDfqq8uw87T2/b4sNNZXobaiBAAwGokgGFIu3aLHNyTjR1JtxhtxDjlb8vuysG7xDIxGImhq7TIUb43YuFXxVU0z5eNyE3yC8DepxJr+mdiNlDY2XD8bDTUByZJjC2sCmFLmT7D7eJueXJKPx5ZdiEPtvejuH0JudiaajnVjzeYmhMIjijHFLL2amduT1CXV/a5Ubgqod/Ac7+7HvS/uwwWTilBbUYK24ADa/TmoHO/H2aX+6PesyB3FPmD1omrVNjQhdiMXpzZcP9sVbSmp+BcKj+AOi3Rl1M+oker+mRBCiHmYmZO6tR0plX9cPb0c6xbPwN1b92luP1sVt+NxSx9zKuUTtg12V1dXY926dfjTn/6E2bNnIycndmbCmjVrTD/nM888g2eeecb048bjpj0E1QiGwrh7676EpH1nSyfu2bpPduN7szvBpZzGpp1HsGnFJcjMyEg4z6NL5wBAwjUAY3sY3LWlWfbaCTGCl3TtNeKDaFF+Dm6YV4HvvLAXu492YePyWjy960jMhBwlfxMMhTX7Bj3flcKuhIekPlK25PdlYdOKS/DjbS1Y+/ze6Hf1xFsjNp6sLvTep3BPgmaK/dCVWNM/E7uQ08aDr7yHTSsuQQYgadeTNDYWJxblYWQ0oiummKVXTiAlekh1v6u3gycYCuPeF/fhhvmVCTlrfXUZHrl+Ds4ZPzbgbXbuGO8DNu08go3Lxyb1i9v4zE2JUyjFqfUv7cfDS2bjOy/sdawtJRf/Vl1ZjXeOdgGwRldWdSSnun8mhBBiDmblpG5tR8rlH+dPKsLaF/YmjIWptZ/tGAB2Ux9zquQTtg12P/nkkygsLMQbb7yBN954I+ZvGRkZlgx224VbZ7NIYWTje6s6weWcxhMyjuRQe6/uayfES3jJlySLVBB9fHktukNDuGerviREj18z4gPjSaUZb8RZ4m2p1O/DPVv3YUeL8XhrxMbN0IUSWjRjNLFOJ79J7EdOG6HwCFY/twcv/P0C9IVH0DMwjKL8bJT6fZhYlAdAu03rjSlm6NXKCS4kffG6P9YThzp6w7hgUhGe3nVEchL52hf24gmRjszMHeN9QCg8gjWbm9BYX4XGuioU5+eg1O9jbkocQylO/f5AO9ZeO92xtpRS/BuJRNBYX4UntrVYpistfsbrvpQQQoh7STYndXM7Ui7/qK0oiZmYKkat/Rwft4VS6GbGaPYxm4ttg91Hjhyx61S2YtdsFrMSXiMb31vZCS6X7Et9ZuTaCfEKbpgZ53TDutjvG/M3EuXiAHl/o8c3mOVHUmXGG3EesS0dau9NGOgW2H6wA23BARzu6FPUpxEbtyO+WqEZN/hNktrIacPvy8IjS+fgOy/sjYlZRu1Pjz7M0KvVE1ykcDrHINZipT92o+30DAwpdpztkNCRWXFQygeEwiPRa9m6agHOLS9M+jyEGEUtTvX0D2HahEJHdKwU/3a1dKKxrir6byt0pebPmNsSQgixmmRyUifakVJIxdPeQen8Y3B4VPFYWvu7rIzR7GM2D9sGu1MRu2azyInpgetmIdgfRmGe9ka/kY3vrewE19N5YeTaCfECYl8i3q96cHgURzv7kJWZEV0pZhVuaVgb8TdqvqEgNzs68y7fl6X4XfoR4iRq9n+4ow+rfrUHgLw+1fRQlJ+TEHsLc5XTQbN0YeaAhZtnFBNvImWfcnpqrK+SXNFph/2ZkQ/bPYHULTkGsQYr/XEytmN2zImPm23BAcXfWDURm21i4nbcbKNq8U+uQ1zLNSc7kM3clhBCiNuxqx2pFFOVxsn8viyEwiMxx8rNzlQ8l9YY76YY7cbJwG7B0sHu2267TfN3f/CDH1h4JdZgx2wWJTHdvXUvaitL8cS2Fs2NfiMb31vVWNHbeWHk2gnxAoIv8fuyJPerbji9V4dVHcJuCtpG/I2Sb2ioCWD30a7o/serF1WjvroMO08PUIgnFwDAaCSCYIhbIhBnULN/cZIup08lPVw9vRy+rEys3twUo/cN18/G56aX44JJRdGJNnk5WdjT2oUP2npMia9mD3a5ZUYx8Q5GGswbrp8tqadkSqElixn5sJqvUZsYpgc35RjEGqzyx8nYjpkxR+pYG66fjSmn9+SWQ6mNnEwHFdvExO1I2ajQ5lowrQzB/jAOnex1pGNWT64toEVXZgxkM7clhBDiduyY0CaOqeL8wZedieL8HOw+2oV3jnbF/Gb7wQ7c++I+rFs8I9r/K9B0rDumH1iM1tzZTTGaE8mVUZ7akCRNTU2a/nv33XetvAzLsGM2i1qZJWGARkiSg6Gw4vGEje8X1gRiPlfa+D4vJxP11WWSxzPaoFZL9qXuw8i1E+IFBF8it1Jsh0Z9G0VL0JZD2K+kqbULh072Jn2NQueIFHL+Rsk3fOvKajz4ynvRzzbtPIIVdVWory6LTi5oau3Czc/uxs3P7sbVP9yOb29uwvHu/qTugxAjKNl/Q3UZ9n4SjPlMSp9Kelj/lZlY+8LeBL1//3cf4K5rpke1sOpXe9D4zNt4t7UL6xbPsHTinlHfxq1NiB6Od/dj9eYmXPWDN7DkJ2/iqu+/EfX1Sva5/qX9eHjJbFldymGl/RnNh8XxOjsrAw0y91RXXYY9rd2m5RzJ5BjEG1jlj43ajpkxJxgK494X9+HCihI8ddM8/OTGi7BpxSVoPzWA8QU+Q21kJX+kBbaJiduJt1Fxm+tr//ZnXP/Tt3TbvRkEQ2FkZQIN1XK5dgDtpwZjPtOiKy0+R4s/Y25LCCHE7Rjps9VDfOVTcf7w//3sLVz9w+14pfk4Ni6vhT9ugvb2gx24qLIk4fo+aOuRbNMLq8E/6uxT7c92S4y2om8t1bB0Zfcf//hHKw/vOEV5OQklh4WVUJt2HjFlNoueMktaZ5Lo2fg+GArjvpf2Y0VdFSJAzCBcfXUZHl4y21CDWi3ZP9EzIHlcPddOiJtQWsEhzIxzaqWY0aBtxWwyoXPkri3NMasB1DoapHxDdmYGrtm4I6aETSg8gjWbm9BYX4UHr5uFe1/c50gZWkKkEOw/Xld11WVYdWUNBoZGEsoySelTLlbKxd4b5lfivpcStbCzpRP3bN2XtBakzivOnz5s78X4Ap+uFT5uLpFJ3IVag/DB62bJ5qS/P9COtddOT9DTaCSieE4z7E8pb9CbD8fHa78vCy99qw73vbw/Rvd11WVYWVeFNZubMH/qeMv2FxbDznvvEW+b4/0+yZKBAkb1YNR2zFx50dkXxg3zKxOqLtVVl6H2nFJ8d8ls3LN1X0IuLJezmlXpgG1i4nbENjoaieCBuHgD2NvmEuLgO0e7sHF5LUYRSYx/9VNRHSjEa7ddrktXZg1kF+fnYPWiasm+xVB4hLktIYQQxzHaZ6sVcUyVWxAm/LuxviqhD70/PILHl9eisy+MkdEIRkYjCIWHMTQawfeWXYi+wWH09I9tcbmntRvXivqMlfqz3dL/5KYV5m6Fe3YnQaDQh00rLsHj2w4mNH43rbjElBJiesssae0wUtr4/tOeAXT1hdEzMIyivGxcMKkId21pxg3zK9FYV4XB4VHkZmei6Vg3wiPSexqpoZbsf9zVj7OK8iSvUenaCXEjaoPCwsw4uT3CBNyw95/QwTkSieDBl/djhwWdFkY68KQGBT7q7JPseA2FR/DEthZcO+ushOsX3weTBOIEBb4sXDt7ElYsmBoTb29+9m3UVpYkJPRSSbXcINnhjj7Jc9ZWlGDTziOyHWzJaiE+5stt2aBnsgzLuBKtKDUIdx/twshoBE/dNE+yYxkAevqHMG1CYYwGgqGwpfanZTKZ1nxYanAtFB7BoY4+1FaWJuT2azY3IRQeQbDfnJzDLR0DxBzkbHPTikvQ+MzbCXlXMnowajtq7Uw9tj08GlHsZLv/KzPxhChnLcjNhi8rE+2nBhAaGkmYxGVmBxXbxMTtCDZ6qL03ps0Vv2CkrWcg+n0riI+DwsTnxrqqsfPm5+D1D09i9XNNeO4bl2JuZanscaTyay0D2Wr+rCg/B76sTDS1diX0LW5cXot//0src1tCCCGuwOikSy3b+IhjqtyCML8vC7WVpfjCzImYMakoYeFpsd+HvvCIbHu6rMCXsLUfoNyf7Zb+J04kV8e2we4rr7wSGRkZsn/ftm2bXZdiKj/e1iLZ+M3MyMATy2uTPr6SmOqqy9B0rDvms2Q7jFo7+7D2hb0Js1wfWTon2vkl5nMXlBs6j1qyD4ADTSQl0LqC45Glc/CRzECUgFUdwlqDtriD86mb5lk6UKynA0+u4/WB62YprjTqk/lcgEkCcYKO3nDCHkMCu1o6ox1zgHRSrTRIJhd7h0cjkoPPQgdb32ByWog/r9wMXT2TZayeUUxSB7kGoTDp4r6X9sXEM8HuhbxXKvZaaX9m73EtN7iWnZkhW00GAAaGRnC8uz/pfb/c0jFAkkfJNiNAwh55yerBqO2otTP12PboaCQhVgnsaunE8EgkmrNqmaTCDiqSjojt3owJj3qJj4PCxGeBp26aF/23XHvbSH4tIAwCKPmzgtxs3P6f/yvZt5gBMLclhBDiKvROutRaGVQcU6UWhMnlEeKFp8lUdpPrz3ZL/xMnkqtj22D33LlzY/49NDSEd999F/v27cNNN91k12WYSkdvGDtazC3LGY+cmMRlBgWS7TD6tGcgYaAbUC4PYVREgUIfGmoCks5FGMQvK9C2WkVtVhAhTqK2oqw7NBS14cC4XGy4fja+/7sPcMP8ypgVlp/2DFjWIawlaMcnC06tQo9HKYm598V9CR2vAgtrAijJZ5JA3IfW7Uukkmq1pP57yy6U7GibXJyPR/77gGz8f/irsw3fD5A4YGHWlg1mlHFlHuFuzHg/cg1CLWXRmo91y8Zeq8oIm12aTM6nNB3rRl11meRAXl11Gd483ImfvXEo6fKybukYIMmjZJvvHO3Cg9fNxH//Q8NYdbD8bJT6fZhYlGf4fEZtR22yuJJtx/uczAwoTpwUPtc6SYUdVCQdEdu9GRMe9RI/2B6/DWGpf2x7wnlTSiVjvtH8GjjTRxfvz4TrWDCtDLnZmegKhXFhRQneOdqV4G92tnRiYMhYRUVCCCHEafRM5hbn8fHVjAHlNryw8DS+zRIf+0NDI3hh1QL09A/j7aOfxVR1A+T7s92wjRAnkqtj22D3D3/4Q8nP169fj97eXrsuw1SsKMspRbyYhH0FxCut1fYG09JR2NUXVpy5Ll5NJpzTqIiK/T48eN0s3L01cRW5MIi/ZO7ZisewYr9gQsxGbUXZPVv3xqwoa6gJ4NffvAwPv/pejB9pqAng8vMmoNiv7bx6BwjUgnZ8siCVdIhxy34ld39pekIiIPhLvy+LSQJxHWod4VPL/Hjttsslk2o1PfQNDicMHPh9WcjOylCM/0a3LBGI7+Azc7JMMmVcmUe4G7Pej1yDUGnSxa6WTnzrimrcOL9S0b6sKCNs9spPOZ+yaecRbFxei8yMjJhnLM7FQ+ERUyotuaFjgCSPWk67bmtslQQz/Onkknx8b9mFZ7bY0jCILsSceP+hZttSPqehJhBT6SHhXKcnTmqdpMIOKpKOiO3erAmPehDioFx/XUP12FYMU8f7Jc+tNnl9MDyCB66bhXUv7kvIWcR9dEIs7OwLIwJg/Yv7JCsqSfkbVn0ghBDiVfRM5hb3HUlNzlbKI3acPpaWijJCu+C948GE2KvUn+30NkKcSK6O43t2f/3rX8f8+fPx2GOPOX0purGiLKcc8WI6qygP86eOV+0w0tNR2DMwrHgN4s5pM0RU6s/B4jmTJfcKlJtVK2B2iUdCrELvirIdBzuw/qV9mFtZim3vn4z5XKttGx0gUAra8R2cSivC3LRfSX94RLGDnUkCcRtqHeFnl+Rr1mnC30/vPSxoors/jPycLLR19yv+rm9QOT/Qgniwa3BYeQsBOybLMI9wN2a+H7kGoRp5OVmY5MCkh8Jc5eZZgcrf45HzKaHwCJ7781F868pq3PHF8/FxV//YfqHHYifUmtXB7nTHAEkevTmtGf7UaE47uSQf6xbPwLHPQpJ70gOxti3nc3Yc7EAkEpGscCbOd7VOUmEHFUlHxHbvRHUwIQ7OqSiRbn+3dCAjA3hcZhtCtYk+d2/di3dau9FYX4UVC6YCAM4pzcdZRXmSZVABjO0VakNFRUIIIcRp9E7mFk8OW1J7Nta/tF9XlVEtFWWEf9dWluLpXUeisdcLk085kVwZxwe733rrLeTlGS9v5iRWleXUglqHUTAURndoKGHVqHAtUh0PRXnK5lAVKMDWVQtME1Gx34fLz5tgqLFvdolHQqzCyIqynS2dWBlXSQHQZttWDeDEd3AKK8IAxCQNbtyvRMlfMkkgbiOZjnCt5VGFY6x/eX+0U07L74wSX2mirDDX8ZVtzCPcjdnvR8rXj0Yiir8pltnqwurS976sTMXy4r4s5coq8ShtifS1S6eg8Zm3UVtZgtrKUsm8hB3sRMBITpuMP9WT00rpMisjAzc/u1v2+GLbVvI5O1s6seqK6oTKbeKYrKc8OXNPko4Idt8WHFD8nhUxR4iDH3X0afJV8f5EbhJafAd6vI+QGzxX8jdmV1QkhBBCnMbINj7iftwnRHlzXk6W6rEK87JRX12GnS2dqtXcGuvGBrkb66o8NfmUE8nlsW2we8mSJcjIyIj+OxKJoK2tDbt378a6devsugxTsbIsZzIIM+BXLJiaMNAtINXxUFrgizqDeOqryzC+ILl916Qw2tg3u8QjIVZhdEWZnD9Rs22rBnDiOzhD4RGs2dyExvoqrLqiGiORCLIzMjClzG/rSjgzykEySSBuw2hs1KMHwVcsn1+J99p6ZAfXGpLsYJNalXf19HI89NVZuGfrPsdWtjGPcDdWvJ94Xx8MhXXHDztK33f3h6MT3qS2+gn2hwEU6Drm5JJ8PHjdLLSc7JVc5SrVuQ6wg53EYjSnNepPtea0crrccP1szRpX8zl5OVl47bbLZWOy3nyUuSdJRwSbd2LC4+SSfJwIKlcyOjUwJOlPNlw/Gw01gQR/ZHSij5q/MbuiIiGEEOIkyfbbivNmLW34zr4wVtRVIQL1leDC34vzc1jdL0WwbbC7pKQk5t+ZmZk4//zz8cADD+Dzn/+8XZdhOm4uy7l8fqXid+M7HiYW5eHhJbPxnRf2xgx411eX4eEls00f6BYw0tg3MiuIEKcwsqJMbk9sNdu2agBHqoMzFB5BU2sX5laURDvMhVnsdiUILAdJUhUjsVGPHgRfkZudKVupoa66DA9eN8uwjuRW5f3+QDsA4HvLLkTvwLAjK9uYR7gbO96P3vhhV+n7wtwcLP/XP6Oxvkpyq5+XV9cbOu5nobDiKtd4GEeJFEZyWqN61ZLTKuly/Uv7o21bNY2r+Zzi/BycW14o/3fmo4RowkmtFOcrH7sgN1vSnzz4ynvYtOISZACmTPRR8zfTTK6oSAghhDiJmbFfy7EOneyNLs6qGK88IV3oey/lRNSUwbbB7kgkgq9//eu46qqrYlZ4pwJCh7SRFSJmI54BLzdYJiDV8VBZVoDv//VcdPWF0TMwjKK8bJRasKI7WcxYzUmInehZUVZfXYamY90Jn2uxbSsHCMTl5w539Enuf+hE+V+WgyTkDFr1IPiKpmPdqK0siTYGxINr7acGUeo37jOUVuX9/kA77rpmWHHwwEqYR7gbu96PnvhhV+n7QKEP86ZIlxRP5t7V8oPK8X7FlauECJhRJUELWnJatTiz9trpmjRuhs9hPkqINpzSiprOfVmZkv4kFB5B4zNv47drGjA8Gkl6oo/adUwqTtzrmxBCCPEyZsZ+tWP5fdkIhUei7WmlLcKajnWz/yfF0LfpWxJ0dXVh8eLFOOecc3D77bfj3XfftevUtiHMLllYE4j53KmynE3HulFXXSb5PSUhTyzKwwWTijC/ajwumFTkuoFuwB3PmpBkULLhh5fMxgdtPQmfa7FtofEshRkBvNjvQ//QCFb9ag9ufnY3ntjWEh3oFnCi/G+x34dzywsxt7IU55YX0geQtEaLHgRfsWnnEaysq0Jt5Vgpxpuf3Y1Vv9qDZ9/8CFecNyEpLbm5VDjzCHdj5/vRGj/ssmer7l0tPygfl8s4SgzhlM0GCn2quuzpH9KkcbPugfkoIdpwQitqOu/uD8v+NhQeQVcoHHPN5eNyDbW7mYMSQghJR8yM/UrHyszMiI6HCf1d8eNjwhZhH7T1MPamGLat7H7xxRfR3d2N//iP/8Bzzz2HH/7whzj//PPx9a9/HV/72tcwdepUuy7FUpye0S2eAS9XljRVkminnzUhyaJkw48tu9CQbdtRGo7lfwnxPmJfIV7VDQDnlObjrKLkV5W43Vcwj3A3bns/dtqzFffOMsvESpyy2aI8+cEpQJ8u3eZzCCHmo6Tz+Anc8cT7k2TiKv0NIYQQYg3ZmRlYebpva1dLZ7S/61tXViM7MxPj8rKRnZmBrMwMPLbsQsbeFMO2wW5gbN/ub37zm/jmN7+Jjz/+GJs3b8amTZtw7733Ynh42M5LsRQj+2yahbgkUig8ktCBXTnej/JxuSkjZCefNSFmIGfDydi21Y1nlv8lJDWgr2Ae4Xbc9H7stmcr7p2d68RKnLBZs3XpJp9DCLEGOZ0b8SfJxFX6G0IIIcR8ygp82PDqAdRWlsZs0/fmoU580NbDAe4Ux9bBboGhoSHs3r0bf/7zn/HRRx9h4sSJTlyGLQRDYXT0htEzMISi/BwECqxNaONnlwp7FAizSyeV5Ft2bkKIPE74AquOz9VhhNiLlf6DvoIQbaSKPZutebvzG+JOnIpTqaJLQojzGPUn4s97BoaAjMTPCSGEkFTHLe3CYr8P9183C3dtaY7u2w2wfZAu2DrY/cc//hHPPfcctmzZgpGREVx//fV4+eWXsWjRIjsvwzaOd/fjzi3N2BGXKD+ydA4mWzjorDS71C2Oh5BURE5fTvkCK+HqMELswev+w2pfwbzGW3j9fTH2xeJ1/0TMQasdWKV/6pIQYhbx/qQoPwcFudnoHRhGU2uXpO9iLCSEEJLuuC0Wuql94PU+EK9h22D3Oeecg87OTnzhC1/Az3/+c3z5y19GXl6eXae3nWAonCByANh+sAN3bWnG48trbV/V6TbHQ0gqIaevh5fMxvqX9zvmC6yEpdcIsRancwmzsMpXMK/xFqnyvhj7xkgV/0SSQ6sdWK1/6pIQYhZif3K8ux+3/+f/yvouxkJCCCHpjltjoRvaB6nSB+IlMu060b333ovjx49j69atWLZsWUoPdANAR284QeQC2w92oKM3bOv1qDmeYMje6yEklVDS19oX9uKCSUWSv3PCFxBCvIPbcgk3wbzGW/B9pR70TwTQZgfUPyHEi2jxXYyFhBBC0h3GQmnYBnIG21Z2f/Ob37TrVK6gZ2BI8e+nVP5uNlocj9OzXQjxKkr62nGwAysWTJX9rd2+gBDiHdyWS7gJ5jXegu8r9aB/IoB2O6D+CSFeQ0vuwlhICCH6OXDggOnHDAQCqKysNP24RB3GQmnYB+IMtu7ZnU4U5eUo/n2cyt/Nho6HEOtQ09fg8Kjs3+z2BYQQ7+C2XMJNMK/xFnxfqQf9EwG02QH1TwjxIlp8F2MhIYRopz/YCSADX//6100/dn6+H++/f4AD3g7AWCgN20DOwMFuiwgU+rCwJoDtEjM4FtYEECi0d+YGHQ8h1qGmr5J86b874QsIId7BbbmEm2Be4y34vlIP+icCmGMH1D8hxI1oyV0YCwkhRDtDoVMAIpj7tTsxoeoC047b0/YR/rzpfnR0dHCw2wEYC6VhH4gz2LZnd7pR7PfhkaVzsLAmEPP5wpoAHl06x/YyBYLjkSKdHQ8hZqCmryllftf4AkKId3BbLuEmmNd4C76v1IP+iQDa7ID6J4R4ES2+i7GQEEL0U1heifGV55v2X9GkqU7fUlrDWCgN20DOwJXdFjK5JB+PL69FR28YpwaGojM/nRC54Hju2tIcM9Mm3R0PIWagpq9JLvIFhBBv4aZcwk0wr/EWfF+pCf0TAdTtgPonhHgRrb6LsZAQQki6w1iYCNtAzsDBbosp9rtH2HQ8hFiHlo4+ao0QYgT6D2mY13gLvq/UhP6JAOp2QP0TQryIVt/FWEgIISTdYSxMhG0g++Fgd5pBx0OIdVBfhBBiL/S73oLvi5D0hfonhHgR+i5CCCGEGIV5hL1wz25CCCGEEEIIIYQQQgghhBBCCCGeg4PdhBBCCCGEEEIIIYQQQgghhBBCPAcHuwkhhBBCCCGEEEIIIYQQQgghhHgO7tltAcFQGB29YfQMDKEoPweBAtbmJ4QoQ79BCEkF6MuIndDeCHEX1CQhxEroYwghhJDkYCwlqQwHu03meHc/7tzSjB0HO6KfLawJ4JGlczC5JN/BKyOEuBX6DUJIKkBfRuyE9kaIu6AmCSFWQh9DCCGEJAdjKUl1Unaw+6OPPsKDDz6Ibdu24cSJE5g8eTK+/vWv4+6774bPZ81slWAonOAwAGD7wQ7ctaUZjy+v5UwZQkgM9BuEkFSAvozYCe2NEHdBTRJCrIQ+hqQjra2t6OjoUP+iDg4cOGDq8Qgh3oGxlKQDKTvY/f7772N0dBQ///nPUV1djX379uGWW25BX18fHnvsMUvO2dEbTnAYAtsPdqD91KCmMhEsJ0FI+qDmNzp6w4r6N9Nf0PcQkjoY1bPR3yXry0j6YsTmaG+EuAs9mtSieeakhDiDWdozW8OM+yTdaG1txQUXTEd/f8iS4w8Nhi05LiHEvdgRS+3uhyIknpQd7P7iF7+IL37xi9F/T5s2DR988AF++tOfWjbY3TMwpPj31s9CuPnZ3dF/S5WJYDkJQtILNb9xSuHvZvoL+h5CUgejek7GDyTjy0j6YtTmukLKHXS0N0LsRWsM0KJ55qSEOINZ2rNCw8wzSbrR0dGB/v4QLm28D0WTppp23La9b2HfS09ieHjYtGMSQryB1bHUiX4oQuLJdPoC7CQYDGL8+PGK3xkcHERPT0/Mf1opysvRdT1CmYjg6Q47tXISQZWOPULSmWS06yRqfmOczN/N9Bf0PcRJvKpdt2JUz8n6AaO+jHgTM3SbjK2Gh0cVj017I0Qaq2KulhigRfPMSQmRxup82SztWaVh5pnEqySr3aJJUzG+8nzT/isITLLoTglJHVK1j8rKWOpUPxQh8aTNYPehQ4fw+OOP49Zbb1X83oYNG1BcXBz9r6KiQvM5AoU+LKwJSP6trroMTce6Ez4XykQA2spJEEKkSUa7TqLkNxbWBBAolC7bYqa/oO8hTuJV7boVo3pO1g8Y9WXEm5ih22Rs9c3DnairLpP8ewPtjRBZrIq5WmKAFs0zJyVEGqvzZbO0Z5WGmWcSr8K2LiHeI1V1a2UsdaofipB4PDfYvX79emRkZCj+t3v37pjfHD9+HF/84hexbNkyfOMb31A8/tq1axEMBqP/HTt2TPO1Fft9eGTpnATH0VATwMq6KmzaeUTyd0KZCJZmIsQ4yWjXSeT8xsKaAB5dOkd2jxIz/QV9D3ESr2rXrRjVc7J+wKgvI97EDN0mY6ubdh7ByrqqhAHvuuoy3P+VmbQ3QmSwKuZqiQFaNM+clBBprM6XzdKeVRpmnkm8Ctu6hHiPVNWtlbHUqX4oQuLx3J7dq1evxg033KD4nalTp0b///jx47jyyitx2WWX4cknn1Q9fm5uLnJzcw1f3+SSfDy+vBYdvWGcGhjCuLwcZGdm4JqNOxAKj0j+RigTwdJMhBgnWe06iZTfCBT6FBMNM/0FfQ9xEi9r140Y1bMZfsCILyPexAzdJmOrofAI1mxuQmN9FRrrqjA4PIrc7EzJKkqEkDNYGXPVYoAZcYY5KUlXrM6XzWoPWtmuZJ5JvAjbuoR4j1TWrVWx1Ml+KELEeG6wOxAIIBCQLrkQzyeffIIrr7wSF198MZ5++mlkZtqzkL3YH+skgqEw5k0pxXaJsgziMhFCOQm17xFCUo94v6GGmf6CvoeQ1MGons3yA3p9GUlfzLDVJ7a1JPzulvoqS66XEKKOUgzQqnnmpITYj1l5oNXtSuaZhBBCSHJYEUud7ociRMBzZcy1cvz4cVxxxRWoqKjAY489hpMnT+LEiRM4ceKE7deitUwESzMRQrRipr+g7yEkdTCqZ/oBYje0VULSCy3apb4JcQaztEcNE0IIIekH2/bELXhuZbdWfve736GlpQUtLS0455xzYv4WiURsvx6tZSJYmokQohUz/QV9DyGpg1E90w8Qu6GtEpJeaNEu9U2IM5ilPWqYEEIIST/YtiduIGUHu1esWIEVK1Y4fRkxaC0TwdJMhBCtmOkv6HsISR2M6pl+gNgNbZWQ9EKLdqlvQpzBLO1Rw4QQQkj6wbY9cZqULWNOCCGEEEIIIYQQQgghhBBCCCEkdUnZld12EgyF0dEbRs/AEIrycxAo4GwUQrwAtUuIN6F2CSFegj6LeBnaLyFEgP6AEEIIIUQ7zJ3shYPdSXK8ux93bmnGjoMd0c8W1gTwyNI5mFyS7+CVEUKUoHYJ8SbULiHES9BnES9D+yWECNAfEEIIIYRoh7mT/bCMeRIEQ+EEgwWA7Qc7cNeWZgRDYYeujBCiBLV+KXG+AAEAAElEQVRLiDehdgkhXoI+i3gZ2i8hRID+gBBCCCFEO8ydnIGD3UnQ0RtOMFiB7Qc70NFLoyXEjVC7hHgTapcQ4iXos4iXof0SQgToDwghhBBCtMPcyRk42J0EPQNDin8/pfJ3QogzULuEeBNqlxDiJeiziJeh/RJCBOgPCCGEEEK0w9zJGTjYnQRFeTmKfx+n8ndCiDNQu4R4E2qXEOIl6LOIl6H9EkIE6A8IIYQQQrTD3MkZONidBIFCHxbWBCT/trAmgEChz+YrIoRogdolxJtQu4QQL0GfRbwM7ZcQIkB/QAghhBCiHeZOzsDB7iQo9vvwyNI5CYa7sCaAR5fOQbGfRkuIG6F2CfEm1C4hxEvQZxEvQ/slhAjQHxBCCCGEaIe5kzNkO30BXmdyST4eX16Ljt4wTg0MYVxeDgKFPhosIS6H2iXEm1C7hBAvQZ9FvAztlxAiQH9ACCGEEKId5k72w8FuEyj200gJ8SLULiHehNolhHgJ+iziZWi/hBAB+gNCCCGEEO0wd7IXljEnhBBCCCGEEEIIIYQQQgghhBDiOTjYTQghhBBCCCGEEEIIIYQQQgghxHNwsJsQQgghhBBCCCGEEEIIIYQQQojn4J7dKkQiEQBAT0+Pw1dCSHozbtw4ZGRkaP4+tUuIO6B2CfEe1C0h3oTaJcSbULuEeBOrtNvb2wsACH58GKPDI8YvMP647Z+Mnf/ER8jNzTXtuDy2fcflsRM5deLo2PF7ezXFRcZcQryJFu1mRATFEkk+/vhjVFRUOH0ZhKQ9wWAQRUVFmr9P7RLiDqhdQrwHdUuIN6F2CfEm1C4h3oTaJcR7ULeEeBMt2uVgtwqjo6M4fvy47lk/XqCnpwcVFRU4duyYLifvNXifqYFeDVql3VR6zrwXd5JK9wK4R7tmkWrvxyr4nLTh1udkpW7des9a4LU7A69dO2Zp18vPXAnel7dIp/vyQr7s9ffh9esHvH8PqXj9btCu15+rV+Bztgc7nrMbdKtEutpaOt4371nfPWvRIMuYq5CZmYlzzjnH6cuwlKKiorQQFO8zvbBau6n0nHkv7iSV7kUPXom76fp+9MLnpA2vPycjuvXyPfPanYHXbj5q2nXrdScL78tb8L4ScTJf9vr78Pr1A96/h3S+fiu16/Xn6hX4nO3BTc/ZqZjrpmdgJ+l437xn88g0/YiEEEIIIYQQQgghhBBCCCGEEEKIxXCwmxBCCCGEEEIIIYQQQgghhBBCiOfgYHcak5ubi/vuuw+5ublOX4ql8D6JmaTSc+a9uJNUupdUhO9HG3xO2kjH5+Tle+a1OwOv3X68et1q8L68Be/LXXj1ugW8fv2A9++B128Nbr2uVIPP2R74nNP3GaTjffOezScjEolELDkyIYQQQgghhBBCCCGEEEIIIYQQYhFc2U0IIYQQQgghhBBCCCGEEEIIIcRzcLCbEEIIIYQQQgghhBBCCCGEEEKI5+BgNyGEEEIIIYQQQgghhBBCCCGEEM/BwW5CCCGEEEIIIYQQQgghhBBCCCGeg4PdhBBCCCGEEEIIIYQQQgghhBBCPAcHuwkhhBBCCCGEEEIIIYQQQgghhHgODnYTQgghhBBCCCGEEEIIIYQQQgjxHBzsViESiaCnpweRSMTpSyGE6IDaJcSbULuEeA/qlhBvQu0S4k2oXUK8CbVLiPegbgnxDhzsVuHUqVMoLi7GqVOnnL4UQogOqF1CvAm1S4j3oG4J8SbULiHehNolxJtQu4R4D+qWEO/AwW5CCCGEEEIIIYQQQgghhBBCCCGeg4PdhBBCCCGEEEIIIYQQQgghhBBCPAcHuwkhhBBCCCGEEEIIIYQQQgghhHgODnYTQgghhBBCCCGEEEIIIYQQQgjxHBzsJoQQQgghhBBCCCGEEEIIIYQQ4jmynb4A4i6CoTA6esPoGRhCUX4OAgU+FPt9Tl8WISTFoK8hhHgF+iv3wndDCLEK+hdCiJugTyLkDNQDIYQQKTjYTaIc7+7HnVuaseNgR/SzhTUBPLJ0DiaX5Dt4ZYSQVIK+hhDiFeiv3AvfDSHEKuhfCCFugj6JkDNQD4QQQuRgGXMCYGxWXHyyAADbD3bgri3NCIbCDl0ZISSVoK8hhHgF+iv3wndDCLEK+hdCiJugTyLkDNQDIYQQJTy1svuTTz7BnXfeid/+9rfo7+/Heeedh6eeegoXX3yx7G/eeOMN3Hbbbdi/fz8mT56MO+64A7feequNV+0NOnrDCcmCwPaDHejoDbMkDCEkaehrCCFegf7KvfDdEEKsgv6FEOIm6JMIOQP1QAiJp7W1FR0d0n5BL4FAAJWVlaYciziDZwa7u7q6UFdXhyuvvBK//e1vUV5ejkOHDqGkpET2N0eOHMG1116LW265Bb/85S+xa9curFq1ChMmTMDSpUvtu3gP0DMwpPj3Uyp/J4QQLdDXEEK8Av2Ve+G7IYRYBf0LIcRN0CcRcgbqgRAiprW1FRdcMB39/SFTjpef78f77x/ggLeH8cxg96OPPoqKigo8/fTT0c+mTp2q+Juf/exnqKysxI9+9CMAwPTp07F792489thjHOyOoygvR/Hv41T+TgghWqCvIYR4Bfor98J3QwixCvoXQoiboE8i5AzUAyFETEdHB/r7Q7i08T4UTZqa1LF62j7Cnzfdj46ODg52exjPDHa/9NJL+MIXvoBly5bhjTfewNlnn41Vq1bhlltukf3NW2+9hc9//vMxn33hC1/AU089haGhIeTkJAbBwcFBDA4ORv/d09Nj3k24mEChDwtrAtguUQ5mYU0AgUKWgSHuJl216zXoa0g81C5xK/RX8jitW74bQozhtHa9AP0LcSPUbvpCn+RtqF1zoR6IHVC33qNo0lSMrzzf6csgLiDT6QvQyuHDh/HTn/4UNTU1+J//+R/ceuutWLNmDX7xi1/I/ubEiROYOHFizGcTJ07E8PCwbC3/DRs2oLi4OPpfRUWFqffhVor9PjyydA4W1gRiPl9YE8CjS+dwzxPietJVu16DvobEQ+0St0J/JY/TuuW7IcQYTmvXC9C/EDdC7aYv9Enehto1F+qB2AF1S4h3yYhEIhGnL0ILPp8P8+bNw5tvvhn9bM2aNXj77bfx1ltvSf7mvPPOw8qVK7F27droZ7t27UJ9fT3a2tpw1llnJfxGavZORUUFgsEgioqKTLwjdxIMhdHRG8apgSGMy8tBoNDHZIF4gnTXrtegryEC1C5xO/RXibhFt3w3hOjDLdr1AvQvxE1Qu4Q+yZtQu9ZAPRAroW69w549e3DxxRfj6rufTnpl92etH+D3312Jd955BxdddJFJV0jsxjNlzCdNmoQZM2bEfDZ9+nRs2bJF9jdnnXUWTpw4EfNZe3s7srOzUVZWJvmb3Nxc5ObmJn/BHqXYzwSBeJN0167XoK8hAtQucTv0V4m4Rbd8N4Towy3a9QL0L8RNULuEPsmbULvWQD0QK6FuCfEuniljXldXhw8++CDmsw8//BBTpkyR/c1ll12G3//+9zGf/e53v8O8efMk9+smhBBCCCGEEEIIIYQQQgghhBDiDTwz2P2P//iP+NOf/oSHH34YLS0teO655/Dkk0/iW9/6VvQ7a9euxd/+7d9G/33rrbfi6NGjuO2223DgwAFs2rQJTz31FG6//XYnboEQQgghhBBCCCGEEEIIIYQQQohJeGaw+5JLLsELL7yAzZs3Y9asWXjwwQfxox/9CDfeeGP0O21tbWhtbY3+u6qqCq+++ipef/11zJ07Fw8++CA2btyIpUuXOnELhBBCCCGEEEIIIYQQQgghhBBCTMIze3YDwOLFi7F48WLZvz/zzDMJn11++eXYs2ePhVdFCCGEEEIIIYQQQgghhBBCCCHEbjyzspsQQgghhBBCCCGEEEIIIYQQQggR4GA3IYQQQgghhBBCCCGEEEIIIYQQz8HBbkIIIYQQQgghhBBCCCGEEEIIIZ6Dg92EEEIIIYQQQgghhBBCCCGEEEI8Bwe7CSGEEEIIIYQQQgghhBBCCCGEeA4OdhNCCCGEEEIIIYQQQgghhBBCCPEcHOwmhBBCCCGEEEIIIYQQQgghhBDiOTjYTQghhBBCCCGEEEIIIYQQQgghxHNwsJsQQgghhBBCCCGEEEIIIYQQQojn4GA3IYQQQgghhBBCCCGEEEIIIYQQz8HBbkIIIYQQQgghhBBCCCGEEEIIIZ4j2+kLIIQkEgyF0dEbRs/AEIrycxAo8KHY73P6sghJO6hFQqyB2iLEXqg5QoiT0AcRYj/UHSGpB3VNCCHycLCbEJdxvLsfd25pxo6DHdHPFtYE8MjSOZhcku/glRGSXlCLhFgDtUWIvVBzhBAnoQ8ixH6oO0JSD+qaEEKUYRlzkjTBUBiH2nvR1NqFQyd7EQyFnb4kTxIMhXHw01M40NaDlXVVWL2oGn5fFgBg+8EO3LWlmc+WuAop7aeKPwiGwgmNCIBaJKmNFfqNP+anPQO498V91BYhNmFFPAuGwjja0Yf3jgfx9kef4eCnp6hd4mlSIX916z0wpyYkOYxoW4/u3Oo7CEkV2zTrPhhPCSFEHa7sNoF0LiHCWWXmIPUc66rLsHF5LdZsbkIoPILtBzvQ0RtOG9tymnTWtRakbLahJoBvXVmNxmfeRig8AsC7/qCjN5zQiBCgFkkqYkU8l/MTNy2YijcPdUb9hIBWbdE/k1TBDls2O561dffj6GchPL7tIHa1dEY/b6gJ4FEPxnuijVT2u6nQnnXzPTCnJsQ4WrQt5Z87+7Tpzs2+g6QmWvOJVLFNM++D8ZQQQtThYHeSpEoANoLarLLHl9cy0GpA7jkKHYiN9VV4YlsLAODUwJDt15eOpLOutSBnszsOdmA0EomxWa/6gx4VrVGLJJWwIp7r8RNi1LRF/0xSBbts2cx4FgyF8fqHJ/FK8/GYgW5gTNtejPdEnVT2u6nQnnX7PTCnJsQYWrTdFx6R9M/3fWUm/L6shImlAqcGhlzvO0jqoTWfSBXbNPs+GE8JIUQdljFPgnQvIaJlVhlRR+k57mrpRG1FSfTf4/JybLqq9CXdda0FPTYLeNMfFKlojVokqYQV8VyvnxBQ0hb9M0kV7LRlM+NZR28Y5eNyEwa6BbwY74kyqe53U6E96/Z7YE5NiDHUtN0dGpL1z+tf2o/G+irZY4/Ly3G97yCphZ58IlVs0+z7YDwlhBB1ONidBKkSgI3CWWXmoPYcB4dHAYzNeAwUun/2otdJd11rQavNivGaPwgU+rCwJiD5N2qRpBpWxHMjfkJNW/TPJFWw05bNjGc9A0OS2hXjtXhPlEl1v5sK7Vm33wNzakKMoabtvvCwrH/ecbADC6aVSf5N0J3bfQdJLfTkE6lim2bfB+MpIYSow8HuJEiVAGwUziozB7XnmJudiYWn90H0Qqker5PuutaCFpuNx2v+oNjvwyNL5yQ0JqhFkopYEc/VjlmSH/t3Ldqifyapgp22bGY8K8rLkYzxYrwW74kyqe53U6E96/Z7YE5NiDHUtN0nU6JcIDcnU1F3bvcdJLXQk0+kim2afR+Mp4QQoo5n9uxev3497r///pjPJk6ciBMnTkh+//XXX8eVV16Z8PmBAwdwwQUXmHJNqRKAjSLMKtsuMTuPs8q0o/QcG2oCqJ5Q6Jk9aVKBdNe1FpRstq66DE3HumM+86o/mFySj8eX16KjN4xTA0MYl5eDQKGPWiQphxXxXO2Y55YX4rXbLtelLfpnkirYbctmxbNAoQ9/+egz1FWXSZYy92q8J/Kkut9NhfasF+6BOTUh+lHTdvzE0XhK8n2KuvOC7yCpg558IlVs04r7YDwlhBBlPLWye+bMmWhra4v+t3fvXtXffPDBBzG/qampMe160r2ECGeVmYPSc/znpXMwJVDAZ2kj6a5rLcjZbENNAN9eVINNO49EP/O6Pyj2+3BueSHmVpbi3PJCz94HIUpYEc/VjjmxKE+3tuifSarghC2bEc+K/T5ccd4EfHtRDeqqY8ujNng83hNpUt3vpkJ71iv3wJyaEH2oabt8XK6qf1bSnVd8B0kN9OQTqWKbVt0H4ykhhMiTEYlEIk5fhBbWr1+PrVu34t1339X0fWFld1dXF0pKSgyft6enB8XFxQgGgygqKkr4+/Hufty1pTlmppYQuCaV5Bs+r5cIhsKcVWYCfI7moqZdJahrbUjZLADaMUmKZLRLksOKOGT2Memf3Ql1qx8v23IwFEZ3aAh94WGEwiMozs9B+bhcxnsPokW7XrZVraRCOywV7oFoh3E3fVDSthn+mb7DXtJZu3rtNVVsM1XuI51JZ926nT179uDiiy/G1Xc/jfGV5yd1rM9aP8Dvv7sS77zzDi666CKTrpDYjWfKmAPAwYMHMXnyZOTm5uLSSy/Fww8/jGnTpin+pra2FgMDA5gxYwbuueceydLmycASImOzytLpfpNFSHR6BoZQlJ+DQIEv+gz5HN0Bda0NOZsVPhNs/XBHX4ytE0LciRVxSHxMM3wC/TNJFdxuy3L5KsDcP91wu62aQSrZdAQAMpy+CkKIWSj5p2T9s1KsJ8Rs9NprKsRmaowQQuzFM4Pdl156KX7xi1/gvPPOw6effoqHHnoICxYswP79+1FWVpbw/UmTJuHJJ5/ExRdfjMHBQfy///f/cNVVV+H111/HwoULZc8zODiIwcHB6L97enpUry0VAjCxh+Pd/bhzSzN2xM1kfGTpHExOkZURTmFEu0pQ18lBWydaMVu7xJ2Y6RPon52HujUHt9oyY3jqYlS7brVVMgY1m/ow7hI5jPpn+g17oHZjSad8ghrzLtQtId7FM3t2X3PNNVi6dClmz56Nz33uc/jNb34DAHj22Wclv3/++efjlltuwUUXXYTLLrsMP/nJT/ClL30Jjz32mOJ5NmzYgOLi4uh/FRUVpt8LSU+CoXBCogMA2w924K4tzQiGwg5dWWpA7boH2jrRA7Wb+tAnpB7UbepCvaY21G7qQc2mB9QuMRP6DfugdtMTaszbULeEeBfPDHbHU1BQgNmzZ+PgwYOaf/NXf/VXqt9fu3YtgsFg9L9jx44le6mEABjbxzg+0RHYfrADHb1MdpKB2nUPtHWiB2o39aFPSD2o29SFek1tqN3Ug5pND6hdYib0G/ZB7aYn1Ji3oW4J8S6eKWMez+DgIA4cOICGhgbNv2lqasKkSZMUv5Obm4vc3NxkL4+QBHoGhhT/fkrl717Ezv1pqF33kKytc1+j9ILa9RZG9JmO8S/VoW5Tl3TQazrnGdRu6uFmzaaz1syG2iVmYqXfoO5joXbTEzfHZjHUqzTULSHexTOD3bfffju+/OUvo7KyEu3t7XjooYfQ09ODm266CcDYrJtPPvkEv/jFLwAAP/rRjzB16lTMnDkT4XAYv/zlL7FlyxZs2bLFydsgaUxRXo7i38ep/N1rcH+a9CUZW6fdEOJejOoz3eIfIV4m1fXKPIOkGm7VLLVGiHuxym9Q94SM4dbYLIZ6JYSkIp4pY/7xxx9j+fLlOP/883H99dfD5/PhT3/6E6ZMmQIAaGtrQ2tra/T74XAYt99+O+bMmYOGhgbs3LkTv/nNb3D99dc7dQskzQkU+rCwJiD5t4U1AQQKU2f2HPenSW+M2jrthhD3kow+0yn+EeJ1UlmvzDNIKuJGzVJrhLgbK/wGdU/IGdwYm8VQr4SQVMUzg92//vWvcfz4cYTDYXzyySfYsmULZsyYEf37M888g9dffz367zvuuAMtLS3o7+/HZ599hh07duDaa6914MoJGaPY78MjS+ckJDwLawJ4dOmclCoVw/1p0hujtk67IcS9JKPPdIp/hHidVNYr8wySirhRs9QaIe7GCr9B3RNyBjfGZjHUKyEkVfFMGXNCUoHJJfl4fHktOnrDODUwhHF5OQgUpt6eKF7Zn4ZYhxFbp90Q4l6S1We6xD9CUoFU1SvzDJKquE2z1Boh7sdsv0HdExKL22KzGOqVEJKqcLCbEJsp9rsjuVEiGAqjozeMnoEhFOXnIFCg75q9sD8NsR69tq5mN77sTBw62avbHgkhyWOGX7cr/iUbwwhJZbTqwwv5ql6Yn5JUxknNxvuVwlzlbiZqjRB3YKbfUIuxeb4sBEPhlMstCFHCrfk04zQhJFXhYDdJCnYopx7Hu/sT9m65eno51n9lJgaGRjW9a2F/mu0SZXHcsD8NkcZpPQt2s/toFxrrq1BbUYLB4VHk5WThRLAfvz/wKX74+4NYWBPAI0vnYHJJvm3XRki6Y4Vf1+tztHxfKobRZxAyRiroQ4/fSBiAy8vG1dPL8fsD7QnfZX6a2jid46Yybd39eP3Dkygfl4vB4VF0hYbg92Xhc9PL8QdqjZC0QamtUFddhlea29B8rFtTzmGGz6bfJ3biJXs73t2P3Ue7UFddhl0tnQl/l4rTXro/Qkh6w8FuYphU6DAjsQRD4YR36vdl4W/mV+KOLc0xiZDSuxb2p7lrS3NMY8ct+9OQRNyg52K/D48unYOjn4Xw+LaDeGJbS/RvDdUBrKyfCr8vC9sPduCuLc14fHktbYkQmzDbr+v1OVq+LxXDANBnEILU0IcevyH33Ye+OgsAYga8mZ+mNm7IcVOVYCiMo5+F8Erz8Zh2Yl11Ge7/yixkgFojJF2QayvUVZdhZV0V1mxuQig8oppzmOGz6feJnXjJ3oT2wDtHu7BxeS0AJPTzxsdpL90fIYRkRCKRiNMX4WZ6enpQXFyMYDCIoqIipy/HNQRDYaze3JTQYQaMBT0vdJilMkZn3R1q78VVP3gj5rPVi6rR1NolO+NP6V0L1+HE/jTUrnbcpOdgKIzVzzVhR4v0jPDaytLoIPhrt12Oc8sLbbkuYh/UrnuQiiUAkvbren2O1u9LxTAx9BnWQd26H6f0YdZKED1+Q+2731t2IXoHhl23f6ITpLp23ZTj2oHdK6+OdvThO1v3SrYT66rL8MiS2QiPRKg1C0h17RJrsMNHBENhtAUHcLijD7nZmWg61o1NO48gFB6Jfkcu5zDDZ7vd71O7qYWavT143Sx8Fgq7ZjW0uD3g92XFVFTMzc5E9YRCTAkURL/vdj3ZBXXrXvbs2YOLL74YV9/9NMZXnp/UsT5r/QC//+5KvPPOO7joootMukJiN1zZTQzR0RuWDHbA2AqRjl5te/GwFIr5JDPrrmdgKOGz2oqSmBW2YtTetVv3p3E7duvCLD2bdi0SA93A2IzTxrqq6L9PSdgrIUSdZMuBJzsgptfnaP2+VAwTQ59B0hkpfYg7uTr7wsDJXlNzDjNXgujxG2rf7R0Y5sSXNEAYcFk+vxIr66qwp7UrZsDF7hzXapxYedUXHpYc6AbG8vZTg8OYMbnYknMT4jbc3rdll48o9vtwuKMPq361R/Y7cjm5Gf0SburbSBfcbvtWomZvLSd7cfOzuwG4YzW0uD0QCo8k9PVuXbUAU3BmsJt6IoR4DQ52E0OY0aHMUijmk2yJyqK8nITPBodHFc/JwQNzcUIXwf6wyt/te8dqvkVsj+Mk7JUQoowbyoHrzSG0fl8qhomhzyDpTLw+/L4sbFxei6d3HYnp6DIr5zDbj+jxG5z4QqRiXV11GTYur42W0gVSxxac2qagT7RSU4qQyt8JSRXc3rdlt48wmpObEb+ZA9iL223favT0X7lh6yC92qSeCCFeI9PpCyDexGjyGgyFcai9Fx9+egp3/tf/yibbwZDy4BuRRsusOyUChT4srAnEfJabrewmOHhgHmqNUKt04fcpz3vy+7J0HU/QeVNrFw6d7NV13Wq+RbDHhTUBBAo5g5QQPWj1McnGEjXUdO7LzozxHVpzDqkYJkCfQbxGMrFUinh9NNZX4eldRxJWZZqVc5jtR/S0PTjxJb2Ri3W7Wjrx9K4jaKw/UyVIjy2YrUkzsTpuy1GSr/z8ilX+TkgqYFcbPhkfZLePMJqTmxG/mQPYh1P9V1LX4VR81tp/JWBlTNaCXm1ST4QQr8HBbmIII8nr8e5+rN7chKt+8AaOfRbCDpmSZ04Hfy+T7Ky7Yr8PjyydE/Num451o766TPL7HDwwF6c6qjIzM1An847rqsuQlZmh+VhinS/5yZu46vtv4Nubm3C8u1/T75V8S111GZqOdWNhTQCPLp3DckmE6ESrj7F6Breazl/ddyLGd2jNOaRimPAd+gziJZKNpVLE66O2okS2/LAZOYfZfkRP24MTX9IbpVi3q6UTtRUlAPTZghWaNBOnVl6Vj8tFg4zWGmoCKB+Xa8l5CXETdrThk/VBdvsIozm5GfGbOYB9ONV/Jcbp+Kyl/yoeJ1dD69Um9UQI8Roc7CaG0Bsg42f8sTS2NZgx625yST4eX16L1267HFtXLcD1tWfjkes5eGAHTnVUZWdmYGVdVcKAd111GVbWVWke7DZjZq+cb2moCeDB62bh+tqz8fjyWkxKg5JYhJiNW8qBy+lc8Dmbdh4BcMZ3ANCcc8THsNduu5w+g3gKK1fJiPWhpuNkcw6z/YietgcnvqQ3WkqK6rEFt6xcU8KplVfFfh8eldHaP1NrJE2wug1vhg9ywkcYycnNiN/MAezD6RLXbojPWtu1YpxeDa1Hm9QTIcRrcM9uYhghQHb0hnFqYAjj8nIQKPRJBrv4GX8sjX2GYCiMjt4wegaGUJSfg0CB9DPUgjDrbrvE7Eo9s+6K/YnXoPVdE+M41VFVVuDDhlcPoLayFI11VRgcHkVudiaajnXj3//SiseWXaj4e8GGB4dHVGf2arEZPb6FEKIdveXAk40lSoh13hUKI9g/hKZj3TF7qQJnfMe55YWa/YJUDDMDM+M1IXJoWSWjx+6k7Pbc8kKgvVfxd8nmHFb4ET35AXOJ9EUt1k0LFOjaL9NsTZqJoO9gfxibb7kUuw51YtPOIzFx1OqVV9QaSXesbsOb4YPsyO2lMJKTTy7Jx/eWXYiuvjB6BoZRlJ+NUr8PE4vydB2Dfsl6nC5x7Zb4HG9vBbnZ2H20K6FdC5ijNzPapHq0ST0RQrwEB7tJUmgNkPEz/pqOdaOuukyyfGI6lUI53t2fMBNxYU0Ajyydg8kGVqEJs+7u2tIc05AxY9adVYMH5AxONkLvv24W7trSjCe2tcScU81uxDb8kxsvUjyPnpm9tDdCzEerj7EylogRdN7U2oWbn90t+z3BdzjpF8yO14TIYeYqGSW7tTrnsMqP6PEDzCXSEzXbnlScp8sunF65JoeUvuury7BxeW20g92ulVfUGklnrI6nZvggu3J7MzAr56Zfsh6n+q8E3BSf4+2tIDcbv51SarrenGqTUk+EEK/AwW5iC/Ez/jbtPIKNy2sBIGbA26pk242rsZRK7ty5pRnrFs9AVmaG7mvlrDvv4mQj1IjdxNtwMhUbzNKoG7VOiFvQ42PMiCVa9WjmqgArfIBaiTw9KwQJUcMsPYjt1u/LQmN9FWorSjA4PIqjnX2YNqEQjy6dgzstzDkKfFl48LpZ6AsPIxQeQXF+DsrH5VIvxFLMzqedXrkmRXxcEmscAJ5ftQD52Vko8eeo5vLMmwlJDqvb8IIPio/leTlZ2NPahaJ8bT7IC/1EenJu+i/ncXoShdXxORkbs0JvZrZJqR9CSKrCwW5iC/Ez/kLhEazZ3ITG+ip864pq5OVkoTjfmmTbrauxlEru7DjYgWOfhXDzs7s5izXNcLIRqtdu4m3YaMUGszTqVq0T4ib0+JhkYokePZq1KsAqH+CWEnkkPTBLD4Ld+n1Z2Li8Fk/vOhJTvaXhdEekVTmHkh6L/UkfnhBFzMynnV65JoU4LslpXE1vzJsJMQ8r2/CBQh+unl6Ov5lfmaDz+uoy3DCvQvOx3N5PpDXnpv9yD072X1kZn82wMbP1ZlablPohhKQyysvwiOkEQ2Ecau9FU2sXDp3sRTAUdvqSbEGY8bewJhD9LBQeQfOxblQFCnDRlFKcW15oyYpupZlvTj5/tZI7g8OjANxxrcReiv1j+2nOrbRGF2Yh2LDfl4XVi6oxr7IU9y6egYbqQMz3lGb2mqVRN2udELdhtY/Rq0epHAHQtyrASh9gVom8dM0BtcLnM4YZegDO2G1jfRWe3nUkYSLajtPaAGC6P2BMJlai1VeYFevM0qSZiOOSnMaV9EaNEmI+VuXXxX4f7vvyTEmd72zpxHde2JsymtWSc9N/uQ8zbN9IO8Cq+OxWGzOjTerWeyOEELPgym4bSffZU07M+HPzaqz4kjvxZakqx/uxelE1Nu084vi1GoWlcVKborychNUkgh3fesW5yM3ORKnfp6hzszTqlNadtnGnz0+8g522YkSPyeYIVvoAM0rkpXsOqEaqPx+9+jO6tYj4HOP9Pvh9WaitKIlZBSbGqvjo5vybeBunfIXbyv+K45IRjTutUS/kr164xlQnXd6B2n0e7+7Hsa6QZPU0ILXiqpac22n/RcwnmdhuRs4crzm32phYH1LbGpS6uN+MEELswpbB7tdeew2vvfYa2tvbMTo6GvO3TZs22XEJjuPF/R6taFzYXTZJbeZbZ18YONnrSMNJXHJHrvxcXXUZNi6vxZrNTZpXjrmFVO+4TneCoTCyMzOwbvGMmFnmofAIntjWgie2tWBhTQCPL68FABxq75X0JWatmDTrOHpw2sadPj/xDnbbipoeg/3Sf08mRxiJRPDUTfNi9jDctPMIQuERAMn5gGRL5HkxB7STVH8+RvWnRw9S52ioCWDTikvQHbI/PjoRk0nqY6evkGsHm1X5INk2tjguCdXA5JDSm5Ma9UL+6oVrTHXS5R0o3WeBLwvdoSHcs3Uvll86RfE4dsZVKychaMm5D3f0KR6DOYa3MCO2x8dnYZW4lI1q8S1qMbIrFEZTa5ftk3AEfew+2qW4fYmSj2SOTghJdSwf7L7//vvxwAMPYN68eZg0aRIyMjKsPqUr8drsKScbF2Ymz2ozQ08NDOGvf/6WIw0noeTOXVuaMaeiRLIslfDvxvoqTSvH3EKqd1ynO4J/eOdoF/797/4Ka5/fK/m93Ue70BUawroX98n6EkGjUjNT95xuQGjBjJWXenDaxp0+P/EOTthKYW5sehmv73xfFj7pCuHsUnM27j3e3Y8HX96PHaIYKp4sFgqPJOUDxPF6e5wv01Iiz2s5oN14+fmo5ax26E/uHDsOdgAR4Dtfmq74eyvyS7tjMkkP7PIVVrWDg6EwTvQM4OOufmRkZEQnZc2bUqr72OK4lJutvDOdlN6c0qgX8lcvXGOq46Z3YOXArtJ93rmlGdfOnoTycbnY0dKJFXVViseyK65a3U+oJecuylMus8wcw71I6amzz9zYrjaBRItvUYuRwf4h3Pzs7phj29GXLOjjjQ9PKm5fouQjmaMTQlIdywe7f/azn+GZZ57B//k//8fqU7kaL82ecrJxYXbyrDQztK66DE3HugE413gVSu60BQdky8/taunEt66oVl05JoVTpb/UOqPaTw2yk8Cl6O24/7irX/ZYjfVVWLd1b8wAFBCrt0ChD1dPL8ffzK9MmJlaX12GG+ZVaLruZFde6kXNxtuCAzjc0WeZ7rw8OETsRc1WPunuR0df2FQ79WVloq66DLtaOmUrl9RXl+GR6+fgnPHGB7yDoXB0xUu8nxFPFms+1p20D0imhK2XckAn8Orz0ZKz2uGrlc6xo6UDkUgkqsd4rIiPgP0xWUBLDpMOJXFTFTt8hVXt4OPd/bjzv5qxo+XMccWTsowcW4hL3aEhNNQEJP1AQ00A2VkZCIZifY1TGnUif9Wre+bYzuOWd2D1wK5i/D7YgRULpkYrNzQd6zY9luvVhl39hGo5t1H/xRzAWeT0dN9XZsLvy4pW44pHT2xXs9F1i2do8i1a+5HFx7arL3lyST7mTSmVXXCi5iML87Lx3DcuRXf/UEI1NEE/1AohxMtYPtgdDoexYMECq0/jerw0e8rJvW/NTp7lZobWVZdhZV0V1mxuijmPcG92Bvdiv3opptycTN3nd3J1vlpnVOtnIRTkZqdUCTIvEm/nedmZuO+l/fjDgfbod9Q67n1Z8qtJtOwheG55IdZ/ZSbu2NKc0Hjf2dKJ77ywV3PpqmRWXupFzcYPd/Rh1a/2RK/BbN15dXCI2EswFMbg8Ah+cuNFkqW9AeCjzhBW/WqPqXba3R/GytMrUGorSyVnnu9s6cTaF/biiWQGDrY0Y8WCqQkD3QLCZLEb51ea4gOMlrD1Ug7oBF58PlpzVjt8tdo5jnX1R/W4K676wQPXzbIkv7U7JgPqea/VeTE7Bq3HDl9hZjtYsImRSCSh+ggQOynriW0thtrYQlx6VKa9e9OCqbjmX3YkrB53QqOA/fmrEd0zx3YeN7wDOwZ21e5zcHg0Wrlh084j2Hh6ezBxLG8wqNnj3f2498V9uGBSEWorStAWHEC7PweV4/2ylZfs7CdUyrmN+K90KYvvVpT0tP6l/dE4KIWe2K5mo90yW2kJCL5FiKuvf3gS5eNyo5UHTwT7Mak4H996bk/Cse2cCNU7OKz4dzkfKaUDYeLdv/+lFQ9cNwuh8AjuoFYIIR7G8sHub3zjG3juueewbt26pI6zfv163H///TGfTZw4ESdOnJD9zRtvvIHbbrsN+/fvx+TJk3HHHXfg1ltvTeo6jOLU7GkjONW4sCp5Fs8M7ewbmx3adKw7WtpUTN/gkCOJsFrnTUm+vvvW2zgzMqtX6ftq9wOAZeAcRsrO66vLsKKuCm8e6oxqQ63jXmmWuRTicsadfWHgZC9GRyOyv9ej/WRWXupFzcbFJSWtmO1r5+AQO/C9ycefhbD2+WbF0t7AGVs1004Lc3Ow/F//jMb6Knxh5kTZzosdBzvQ1jMAALrOKY5xy+dXKn43LycLkxxumHspB3QCLz4frTmrHb5a7RzZmRn49uYmNNZXobGuKtp53nSsGz39YQAFSV+DVJwwOyYrxSK1vPd7yy60dNCCnej2YIevMKsdLLaJp26apzgpq/H0ZJRk2tiC3tpPDaL1sxAAxLR3pWw9WY0ayQ/tzl+N6F7tGvN8WQkr5Ym5uGESnB0Du1rak+K29prTsfzm+mnIzspAmd+HnKwM9A+N6LLJYCiMe1/chxtkKqvJVV5ywyQEAT3+y01l8dMVtSoGf3/5uZLtRb2xXc1GC3xZin8X+5YIgFeb22IqsjRUl2FlvfSWAmr2b+d2nVI+Uk4Hu1o6kZmRgceWXYi87Eys3txkmVbYr0QIsQPLB7sHBgbw5JNP4g9/+APmzJmDnJxYp/uDH/xA87FmzpyJP/zhD9F/Z2XJB6ojR47g2muvxS233IJf/vKX2LVrF1atWoUJEyZg6dKl+m8kSZyaPW0EpxoXVibP0Zmh7b3465+/Jf+9fJ8jibDZnTd6Gmd6O+i0fF9L2R+WgXMOuUR3Z0snIkDCzFqljnu5WeYLawI4pzTWfuTKGT910zzF69WjfaMrL/Wip7QVYP5sX7sGh9iB700+6QrhzucTqyXEryKTKsNmhp0GCn2YN6UUT2xrwYxJRYrfPXyyDw//5oAumxLHOLW9SovznV8V7KUc0Am8+Hy05qx2+GqlczRUB9B0rBuh8IhkJ+KSuWcnfX61OGHHHspqeW+XyftBimEnun3Y4SvMaAfH24RQhlgO4e/JtrGL/T509Iaj+4jGI2XrRvNmo/mhnZObjA5WquX4rzS3oflYN3NhC3HDJDg7Bna1tCfj29qbdh7B3OUl+PkbhxPa3lptsqM3jAsmFemuvKTmH/NVBhLNRqv/cktZ/HRGTU+5OZkJWjAS29VstMCXrcm3RON4S+z3drR0YhSJ/WWAcgy3c7tOOR+pNuGgd2AYvaf/X4pktcJ+JUKIXVg+2N3c3Iy5c+cCAPbt2xfzt4yMDF3Hys7OxllnnaXpuz/72c9QWVmJH/3oRwCA6dOnY/fu3XjsscccGewG7F11mAxONS5UE5Pc5M1V7d7CI6OywX330S50h4YsmYlmdueN1saZkRXgWr//wHWzsO7FfQklcsTl41kGzhrUZkwqJbriFSZi5DruQ+GR6Czzb11RjbycLBTn50T9hPi7jfVVko1qNexYpax3lqmeLRIEzLR3Ozp82YHvTYKhMI52hmR1JmhczlbNsFOxfaoNRudmZ2q2KUGnnX1hbFpxCfa0dmHf8aDqHoZm6T4ZvJIDOoXW5+OWFQFaB8Ts8NVK8ej2L5yPf3ntQ8nfmZHTB0NhvPHhSaxYMBXL51fGbJcQr2mj705LLFLLe3sGjJV71AI70e3Fal9qRjs43ib8OVlYvagatRUl0VKo4m1FcrMzVY+tVT9u39fciE806juMPgstOX4oPMJc2ELcMAnOjgUgxX4fNlw/G0c7QzH7537Q1oObG6ah8Zm3Y9rajXVVmDAuF9/77/cT8l497bOegSHF7cZ2yMQutcH5Pa3dOKsoz5L3o1bdRclHuGlFerqipZKlGbFdbT/qEn+OJt+it79Mba94s6tuGvGRWnQQUfyGca0I1SQurCjBigVTY3Kh+17ch8eWXchYSggxDcsHu//4xz+adqyDBw9i8uTJyM3NxaWXXoqHH34Y06ZNk/zuW2+9hc9//vMxn33hC1/AU089haGhoYQV5gKDg4MYHByM/runp8e06wfsW3WYDE41LgrzstFQE5BMKuqqy7D7aFfS+zyr3duJ0+VU4xFWpN6zdW9MGTojM9HkkhcjnTdyx9LaONPbQafl+33hEdy5pRnvHO1CY30VViyYCgAoL8rFawfaY8rnmjmIabV2vYKWGZNa9gcDYkuOD41GcOhkLwIFY/sX3SnSUCg8guZj3bhxfmVCueCHl8zG2hf2YsfBDtlGtVIpdDtWKT/01Vl44JX3FPcqlyJes3k5WXhlb5vkFgmA+VUxxCUrg/1D8PuyUJCbDb9Js+rt6sCnds2lozesuh9ZQW42aitLJW1V66o1tUa4YJ+f9YXRUB1ImBkPxFZBULMpuT3Gbq6vwpyzSwAkVpd4dOkcyX3Hrp5ejnWLZ+DurfskfWWBLyvm/gpzs9E3OIxgf3IDrF7IAbVihW7Vno+dKwLUbFxtQCw7MwNNrV3R31pdzlscj7r7wxgcGsWbhztx87Nv45GlcxAeHsVOCX0ka49doSG80nw8YS9wYbsEQdPJvDstsUgt7y3KU27yJhOfvdaJngox10pfWuyX3qfz054BXHneBN2DrH5fFkoKfGhq7YrJgQWdPPfno2g/NaioR636CYbCyM/RXqLVKMnmh3ravMn4jvF+H566aZ7kBANA+VkI19gWHMDhjr5oOWlx3mT3ZJZU0K4etNiJlRPg7FgAcry7H3c9vzfGvhtqAtiwZDayMzMwb0opth/siFZnWVgTwN1fmi67LYJWmyzKy5Ht9xKQil3Ffh8euG4W7t66NyHuCxNB5k8dn/Qkt3iU/EAGoLq/sNNl8dNNu1Jo0VOysV3LftRj54BqH4rW/jJgTLP3fWXm2BZ9SNyay4yqmw8vmY3wyGhMW1Rv/7EZOjCqlc6+sOS2CYLv6Oxz38RQ6pYQ72L5YLdZXHrppfjFL36B8847D59++ikeeughLFiwAPv370dZWVnC90+cOIGJEyfGfDZx4kQMDw+jo6MDkyZNkjzPhg0bEvYGT0fsXoF0vLsf9764DzctmApEIgl7jArJ82+nlOLx02WcjCbOSvcmNUAFyK9I1bvCUUupR633oXQsrY0zvR10at8P9g9h/cv7o9cUn8jUVpZGn7HZVQKoXe2zRrXsDyZXclywMS3+4Xh3P9a/vB8XVpTg5roqTCzKk+x0EsqzZWZkJNizHauUv/PCXsytLI0Z7NaqbbFmg6Ewmk+Xi43HqqoYfeERPPDKe5YM/tjVgU/tmkvPwJDqaurR0YjhfdH0dDwL+thw/ZlJLwJSK8vlbEppjzEAuGTqeNRWlkZn2VeO96N8XC4ASO47dv6kIqx9Ya9kTL9zSzOunT0Ja5/fG/28vroMK0SrueQGGdyw4tgu7NatnZUmtNi43OTJhpoAVl1ZjWs27ojJdx5ZOgfnlhdafm3ieDSxKA+fu6AcRfk5+P5fz0XvwLDhnF7KvgFg3dZEHYm3Szg1MJT0u9MSi6oCBYp5b2mBdYMWTnei64UxVx2pfToX1gRw+XkTNP1ebBON9VX43v8krsLc1dKJDIxNCi3Oz5HVgFb9CL7hwooSyyeQmpEfamnzJuM7jnf3456t+2LeoXgizrwpparPotjvw+GOPqz61R7Z79g5mSUdtatkJ1ZPgLN6AYicfe843TZ9fHmtZHv7cEef4nG12GSg0IeBocQ9ucXIxa5gfziacw8OjyZMBBHOb9b7UfMD18yepOojhL6x3acXY4irbHzaM2B5Wfx01G48TulJvB/1xKK86OdqfShqud20QAG2/P1l0cmlX358p2wb0ZSqm883Y25lKTbtPILG+iosmFYGX3YmSgvG7FtLG0NrH7EV+fLwaESyP1349/ovzzR0XCuhbgnxLpYMdl9//fWav/v8889r+t4111wT/f/Zs2fjsssuw7nnnotnn30Wt912m+Rv4sukRyIRyc/FrF27NuZ4PT09qKio0HSNqYZdK5DEQf3NQ5349Tf/CitODUomz9sPduBEzwAe+s2BpBJnuXuTSwCUyjxpnUFrZketlmNpSSb1dtCpfd/vy9JU7seKKgHUrvZZo0qJbv3plZZaJngoJdXxup67vAQPv/pewkQWodNpzeYm/HZNA4ZHI5ZMsFF6NjtbOrFSonS73hUbdlfFsHrwx64OfGrXXIrycvDa++2ynd0NNQFMKfMb2hfNqM2dM96PJ1RWSAHyNqWllNzNz+6O3oNQYeJQe6/k79RKNwoVSQR2tnQigjP7s8kNMqTTHmR269auShN6bDx+8mRBbvZYR+rpsqNKv7X62qTy3IlFxs4rZ98PXDcL77R2S/5G0OW4vJyk352WWKQWfycW5VkWn92wt6weGHOVkdunU4+OxTahFG92tnSif2gElWUFssfSoh8AUY2+c7QrZn9fAbfta64Fo75D7h0Kz2Pd4hm4QuMqfTdNZqF2z2DXBDgrF4Bose9zywsTzlWUF1Y8rlabbP5YfRsgKQpzc2R9mnB+M9+P2nO6KS5nF/9N8BFCxY6jn4Xw+LaDMdffcHoiU7Hy2H9SULtjOKUnYT9qIQ/WYp9quV1pgQ/fffWAJhs3o+rmzpZONNZPw9zlJbKLUdTanFr7qqzIl0dHI4pbrI2MqhVQtx/qlhDvYslgd3FxsRWHjaGgoACzZ8/GwYMHJf9+1lln4cSJEzGftbe3Izs7W3IluEBubi5yc3N1XYuXVvO48VrFQT0UHsHHXf2KM6g/7uq3rGEjlwCooWUGrZkdtVobR2rJpN4OOrXvZ2bKTyQBxhK512673JIqAW7QrtP60jprVCnRFUokDQyNJDXBQ2yjcgPn4tVfzce6UeKXX9mSLHpKUYnRu2LDzqoYVg/+2NWB7wbtphKBQh8+aOuJTuAQ666+ugwblszG2aV+Q3aajM0Jnz/86gHdNqWm36K8HPznrZehJD9HUwk6Ob0r/T1+fzapQQYxqb63vRHdAvbvvaoXvTYuHlQ+1N4bUxEg/rfCZA+jPsuJvaGVOgTXvbgvOgFEDjNWoWmNRWrx16r4bPdEt2RxMuZ6IXaboTOxTajFm4+7+hX3uNXq+8RtafH+voPDo5gWKMCkYvP20bUrPzTq99UmyK3/8syEbZfkcNNkFqNx12zcoGM746H4OD0DQ0BG4udGMGrfZthkR28YD/7mPcmJMXXVZdFyz0bPb+b7MdqGB2Kfod+XhR9va0noj9hhQ77u9rauneeyakGVHj1p7UtVyu36Boc127hZVTezszLw8zcOJ1VtVEsubEW+HAoPq/xdusKqk7gl5hJC9GPJYPfTTz+t+ze7du3CvHnzNDuTwcFBHDhwAA0NDZJ/v+yyy/Dyyy/HfPa73/0O8+bNk92v2wheWs3j1muND+pq5VflMKthIxXcRyPKM820zKA1s6NWz6CmWglmPR10at/vH1JOUsoKtJXYsQOz9eAGfelZfaCWxDa1dikeS81exTaqtKplV0snvnVFNW6cX2lpR4mW0u1SGFmxYVdVDKsHf9zage8GrbmZYr8P9183C/e9uC+mzGBJfg6mlPlxdqk/+j297zBZmzNqU2r67RkYws3P7o4eS60EnVqeIff3+A61+EGGeOzez9PtJKNdu1bXJWPjar8Vl8M14rOc2BtabaVMfBUEMeeUjpVVT3YVmh6/oSXvtUKPdm//ZCdmxVyvxG6zdCbe81kNpTihxffFX7Owv6/A1lULTLVFu/JDo35f7R32DSp3uotxay7sFG7RsZ3x0Kp7NmrfZthkz8CQ5MQYofJST38YgHTFCS3nN6PUuoDRNjwQ+ww7esMJ1R4E3Jav26kzt2g6WfToSav/UMrt9PSVadWs2j2U+nNkV0frsWEtubDZ+XJxvsr58t215Q8hxNu4Zs/ua665Bu+++y6mTZsm+ffbb78dX/7yl1FZWYn29nY89NBD6OnpwU033QRgrMTEJ598gl/84hcAgFtvvRVPPPEEbrvtNtxyyy1466238NRTT2Hz5s2mXbOd+wcmi5uvNT6oNx3rViy/2nSsW/ZYZjVs4oN7MBROegatmR21Zh5Lbwed0vfNeE52YLYe3KIvvTO9lZLYZG1M/Hu1VS15OVmaV1gYRUvp9njcZLNS2DH447YOfLdoze1MLsnHY8suNP29mWFzRmxKSb91cfrVUoKu6Vg36qvLsFMiz4g/npj4DjWpQYZ47NzP080kq127VtclY+N6OmSN+Cwnyumq2bccC2sCOOv03ohmvDu3xSIp7JroZidmxVwvxW4zdSbcU0NNQHLSiBBvygqs9X1W+AY7NGn03s32lV7wP3bgJh3bFQ+tvOdktJ2sTQrPL35ijMCSuWcr/l7t/Ga+H7Xn1H5qUPJ38c/QK/m6nTpzk6aTRY+e9NinXG6n18a1aFatvTs8orwAyy02LIWbqqQQQlIfY0toLSCisnL2448/xvLly3H++efj+uuvh8/nw5/+9CdMmTIFANDW1obW1tbo96uqqvDqq6/i9ddfx9y5c/Hggw9i48aNWLp0qWnXrHUPLTfg5msVAp/App1HsLKuCnXVseXmF9YE8OB1s7Bp5xHZY1m1b5YwG098ncI1aZ1BG3+f8ccJFI4NFh9q70VTaxcOnexFMCT9XrQcSw/F/rEV13MrSyX3htL6fTOekx2YrQe36MvM55+sjRXmZaPh9O/VVlHaMZNT6dk8vGQ2PmjrSfjcTTYrhdl+QA69/sFK3KI1L2DFezPL5ozEHCn91lWXYWVdVUJeIJ7dLvW7D9p68PCS2ZL+4NuLaiTzjPhBcOF+3bSfp5tJVrt25RfJ2LjSb6UmUej1WXb5fDFq9n1Oab7qO9Hy7rTkv26KRemCWTHXS7HbijbWg9fNSmjXiuOXUpzQoh+la26oCSA7K0O2TZkMVmvSqN+3wlfS/7hLx3bFQyvvOdm8JhmbNOP5KZ3fzPej9pyuOG+CpmeoJV/X2hdnJXbqzE2aThY9ejLDPo0cQ02zcvdQfzpfCIaUB7ONtjntsHuv9BMTQlID16zsVuPXv/614t+feeaZhM8uv/xy7Nkjv/dzsnhldiDg7muNL+silFRat3gG7l08A/3hkejMNwCYN6XUkRlhyc6gVStfEwqP4A6NJYTcXFLNC7PfzdaDm/Rl1vNPxsaOd/fj3hf34aYFUzEaiShWa7BzJqfSs7FiFazVuNkPWIWbtJaOOGlz8fr1ZWfi1X0nsGZzk+Q+X4ItZAC4ZvYk3LRgarREY/upQfiyMiX9QSg8kpBn1FeXYUVdFdZsbpK8X85UV8cM7dqRXyRj43K/FQa1BPsRo8dnOaE/tZUYZxXlaXonSu8uVUpopiJmxVwvxW4rdFbqz8HiOZMTSgWv2dyEeVNKVeOEmu9T8j03LZiKa/5lB+ZNKfWkpoz4/XTMj+3ATTq26x1bfc9O9ZtY/fzMPr7ac9LyDNXymbycTKze3OR4LmKnztykaTPQqicz7NMqDUndQ15OJta/tB/nTyoyvU/NzhzcC/3EhJDUwDOD3W7ES6t53H6tegKfk43XZEsUyt0ngITkGlAuIeTmZEH8nIKhMDp6wzjc0Yei/BwECpy/RrP14DZ9mVVK04iNicthvXmoE431VZhXWYovz5mEh145ELNXVsPpVdV22oPcs3Gi/KigjZ6BIcPacLMfsAK3ac1uzLCZZIm3uaL8HBTkZqN3YBhNrV2WXpdYp4faeyVLLwoIKzTiJ5EJLKwJ4PHltTi3vDDuHImdZoV52egbHMZz37hU8yADO9VjMUu7dvjqZPxq/G/zcrLwyt422UkZTpbT1eJPtNq3nvNHgLFZKEitEpqpiFm69VrsNju3Kvb7cPl5E5LuWFf6nnDN7acG0fpZCACiA+qh8EjSmtKTf5idqxjx++mWH9uB23Rsxzu2+p71asVMbVn9/Kzwo3K/1eIjlPKZh5fMxn0v7XdFLmKnztymaTPQGi/MsM8CXxbWLZ6B7v4hFPqy4Pdlo8Sfg2K/LymtSt3DY8suRGdfGEtqz8b6OFs12uZ0Igd3os+NEJJ+cLA7Cby074QXrlVr4JNbpeUVpO7zUHuvagkhtwzQ6cGtq3XM1oMX9GUUvTYmLocl3gcsUOjDphWX4O8HzkV3/1B0Vcv9L+/H/dfN8txKk2QxUxtu9wNmkspaU8NN/lRsc8e7+3H7f/6v7delxRa0lOczI7ayU10dr2k3Gb8aP+Gv+Vi35EB3MuV0k7UtPf7EDPuWO98D183CO0e7JH+jpFFiD2bp1mv6B8zPreyqTNHRG8bNz+6W/LtRTenxF27NVUjyuFHHVr9jK+9Zr1as0JbVz89tGpTzw519YfzhQLvkb+zORezUmRs1bSfJ2KeSHkPhfs0VO41c6xMm5RJG28mEEOJ2XLNnd0ZGhtOXoBthdqCefSec2gfGyLW6EWGV1trn9+LmZ3dj1a/24OZnd2Pt83tx55ZmR/bVMYNUKyEEqM8UdPJdma0Ht+rLCX8jZ8s3zK/Eo//9Pr72b3+O6vaJbS34/YF2x+3BbtysDbfjVq1ZjVttxsnr0mILdsbWYr979/N0wx6E6apdO+9b63s2ottk7FvpfOte3IfG+irZ33ox/00lzLJfteMAcNxH2YEdccLsuKfHX7g1VyHmkI5x3Kp71quVdNGWXXsHx/vhYL97+uLs1Fk6alovUjappsfXPzxpqVbNyiVSsQ+aELfR2tqKPXv2JP1fa2ur07fiKVyzsjsSiTh9CYbQM0vb6ZnO8ddakJsNX1Ym2k8NIDQ04ory0mqk6uwzt5YQSqb8jtvfldkrLKxcsWHkPTjlb+RsubaiRLbksBvsQQtmlY5zuzbcTjquojViM3aUPDfLlo1eq5otuDW22onTuaeYdNQuYM9963nPdscgpfPtONiBO754PmZMKkJeThb2tHbh139pxQ3zK1FbUYKh0QgOnez1RBslVTHLfuWOEwqPaNon1Q3beHgBs+OeHn9hlW/hu3cP6RjHrbhnvVrpDg1hxYKpWD6/MhorN+08Et2iIBXajvF5jP90ieiLKksQCo9Yqn23tRfs1Fk6alorcrn13V+arqjfNVfVwO/LSqjq5LY46Da7JyTVaG1txQUXTEd/fyjpY+Xn+/H++wdQWVlpwpWlPpYPdi9atAjPP/88SkpKYj7v6enBV7/6VWzbtg0AcOrUKasvxTK0lD9xy550wrW6qfNTD6k6+8yNJYSStREvvCuzS2tZUarLyHtw0t/I2fLg8Kji79xgD0qY6TO9oA2347ayeFaj12bsivFm2HKy16pkC26MrXbiltxTTLppV8DK+9b7nu2OQWrnO/ZZP1b9ag8AYNEFE/Crb/wVHnhlf8wEOS+0UVIZs+w3/jhCxS412/Vqu9UJzI57evyFFb6F7959pGMcN/ue9WjleHc/7tm6FztaOqOf1VWXYePyWqzZ3IRQeMTzbcf4PMbvy8LG5bV4etcRrH1+b/R7Vmnfje0FO3WWjppWQym3vqmrX/m3/UMx+hTjpjjoRrsnJJXo6OhAf38Ilzbeh6JJUw0fp6ftI/x50/3o6OjgYLdGLC9j/vrrryMcTizVMTAwgB07dlh9etegZfamXXi5DJKXZp/pKcPkthJCZtiIl96VWzH6Hpz0N3K2XJLvXXsw22eapQ03lCYm9qDHZuyM8cnash3XeveXpuOpm+Zh04pLsHpRNfy+rLQpz+em3JNYh9p7/qS7PyZG2J2fqZ0vN/tMc3TG5GI88Mp+7BJ16gPeaKMQ/WjxUV5utzqB2W1KPf7CbN/yac8APurow/L5lTExnO+eeB2tWon6v7iYuKulE0/vOhLdBsTpdnSybdL4WNBYX4Wndx2xLRdwW18ccR6l/EQLYn2K0atVK3MgL23LSoiXKZo0FeMrzzf8XzID5emKZSu7m5ubo///3nvv4cSJE9F/j4yM4L//+79x9tlnW3V61+GmlXxeLqHrldlnRmbfuamEkBk24pV35WaMvgen/Y2ULRfmZXvWHsz2mWZogytd0gs9NmNnjE/Wlq28VimNNNQE8OqaBpT6c1yb55iJ07GA2IPae/6oM4RVv9oTjRF252dK56urLkPTse7ov1NhyxOiHa0+yqvtVqcws02px1+Y6VuOd/fjzv/6X9nVrHz3xMto1YpSnryrpRONdVWOt6PNaJPGxwIncgE39cUR51HKT5qOdaOhJiCpTSGvFfQpxohWrW7Xe2lbVkII0YplK7vnzp2L2tpaZGRkYNGiRZg7d270v4svvhgPPfQQ7r33XqtO7zrctMrVy52fXph1mczsu2K/D+eWF2JuZSnOLS907H7MsBEvvCu3Y/Q9uMHfxNvyxKI8z9qD2T4zWW1wlVP6ocdm7IzxydqyVdcqp5EdBztw74v7DB3Ti7ghFhDr0bpyWogRAGyNx3J+oq66DCvrqrBp55HoZ17f8oToQ4uP8nK71UnMalPqifNmtf20rmbluydeRatW1PwfAEfb0Wa1SeNjgVO5gFv64ojzKOUnm3YewYPXzUKDSl4rtmOjObYdOZAWu2f/EyHES1i2svvIkSOIRCKYNm0a/vKXv2DChAnRv/l8PpSXlyMrK8uq09tKMBRGR28YPQNDKMrPQaAgcSaUm1a5er3z0+2zLu1cVafF9oxglo24/V25jfj3WZir7KLl3oOb/I0Yr9mD8D6GRyPYtOIS7GntwqadRxL2XjLiM5N5Fl6uzkGMo9Vm7I7xydiy0WsVtNk7OIQSvw/h4VH0Dg5H42BnHzUCuDcWpBJW5WF60LNyWrD/c8sLZXVrxT3F+4m8nCy8srctYT9DcUlzKdzeRkl39NqOGT6KNmE9euK8lu+q2YmW1awA3z3xNkpa0doGrRzvxyQHV1QqaXX30S50h4Y0xYT4WMBcwJu4ISc2C6X8ZN6UUpT6c/DQdbPQcrIXg8OjyM3ORNOx7pi8dlqgAFtXLUiqz8vpvnvhnX4WCmNlXRUurChJ8EXp1LYm5tPa2oqODuNbBgDAgQMHTLoakipYNtg9ZcoUAMDoqPKsPK+jtZSHMHvzri3NMQHTiVWNqdD5WexPTBbcklzZtQLByjIySjbSUBPASCSCQyd7JZ+x1Hs4t7wwqetJB6Te54brZ8uWSFLSqpv8jdS1eSERFt7HO0e70FhfhdqKEtRWlOA//u4y/OHAp3hy+2GEwiNJ+cyE1bgZiZ9LoeZjukJje1x64TkTfWjRj50xPt7fVwUKNFUmEH4zvkD/tY6VNm3GO61d2Li8Fv/8Px/E7Om3sCaA+74yE35fVkKnoEC6rAZzcyxIBdxSzq/Y78OjS+fg9Q9PonxcLgaHR5GXk4UTwX5MKs7Ht57bE/N9wf6l/ImV9yQ+XzAURvOx7gSNNh3rRn11GXbGregUrkOP/xL7muL8HBTkZqN3YNjxdkKqYsR2tPoor7db3YzW9rOe/F3pu1rsRC3PHRweNfTutd6rW/oUiDfRYz9a47C4hL8QNxfWBFA+Lte6G9GAnFb9vixsXF6Le7bujanQIBcT4mNB07Fu1FWXJezZLRzDaC5APVuHW3JiJfRqU0t+8uybH8nmJ5OK85K2NSf77rX6IsDctrX4PRXmZsOXlYnu/jAK86jfVKO1tRUXXDAd/f0hU443NMgKA2SMjEgkErH6JB9++CFef/11tLe3Jwx+u72UeU9PD4qLixEMBlFUVBTzt2AojNWbm2QHoh5fXis7EOj0qsbj3f2ygdvJ2aFGkdubc8OS2ThnvN/WaznU3ourfvCG7N9fu+3ypAd/jdieXqRspL66DCvqqqLJTXwC29bdn9DZ+mnPAK44b4LtdqWkXbfxac8ADrX3ort/bLWTMHsbADatuAQ/+WOLIa26xd94DUFf7xwdG0x7eteRmMZ2Q3UZbqqrwr//pRUPXDfLsG0bbRSq+ZinbpqHZ9/8yPTGpV2dBV7SrlvRG+ONvFsj9hv/G78vC5tWXIIf/7El4ThS1xoMhbH6uSbsaOnA6kXVaGrtSugI8/uysG7xDNSUF6L91GCMTxUa5WbEYS9hRyxIN93akYfpQZgEsqNFlAdXl+H2L1yArr4wQkMjUS1cX3s2pk1ItH+770nKT109vRzrFs/APVv3JdVGEfsaodM9PpZb3QnrlQ52M7SbrO2o+Si7261eeXfJYvfghFY7Uctzn/vGpagKFOh691rvNZlnYrfdpFvc9QLJakpJI3XVZaitLMUT21oc67eLr6zUHx7B4Y6+hFxbLkcHlGPCGQ2FMS43B/e/vD9msLyhJoB/NpgLiM/v9ABsqmnXbTmxFEZtQS4/ET7vCoUxNDKKXYc6o/Zvtj6d6LvX6osEpNrWZvUvCOXh12xuwrwppY7pN9V06wb27NmDiy++GJc23oeiSVMNH6dt71vY99KTqP+/P8bZ02uTuqbPWj/A77+7Eu+88w4uuuiipI4l3N/Vdz+N8ZXnu+Ka0gXLVnYL/Ou//iv+/u//HoFAAGeddRYyMjKif8vIyHD9YLcSRkrJumVVo9fKCSuhtDfnXc8349Glc3B2qX0D3nbMvrOjjLHYRoL9QxgYGsGbhztjZvEJe7Q8vnwsoBz9LIRXmo/HNGzqqstQFSiA35flSfuymrEO6v+NaciJZ0w2PvM2frumAcOjEd1adYu/8RqCvlYvqk7oHAcw9q4yMvDYsgsxsSjP0DnU9j1SahRqKVmr5Th6cGtnAZFGT4w38m6N2K/Ub0LhETQ+8zbWLZ6BexfPQN/gsOK1tp8ajA7m1VaUxDSyAcgOaol96rwppWm3EpCxwHzctJ3Emf1t4/Lglk5E8D7mijqk6qvLcMO8Csnj2H1PSn4qmTZKvK9prK+SjOVmx0kx6RYzk7UdNR9lZ7s1Xd5dMnmoUbTaiVqFsXPLC3Xl31rvNZlnki52Q+QxQ1NqJfzvvnY6lsw925F+O3HVM6nKSuJcWypHF1CKCcJn61/eH62utqKuKlomuv3UIPw+bVthOuHj0hU35cRSJGMLWqsvNNQE8PK365EBoMzkiU5O9N1r3U4EkO7jNrN/QfAzjfVVeGJbC/WbghRNmprUYHBP20fmXQxJCSwf7H7ooYfw3e9+F3feeafVp7Idu8pVW0EqzVhXCsQ7WzpxtDOEwtxs2+7PjrKhdtmekNwdau/F9T99U/I7QgKbnZmBx7cdTOhMFP798Fdne9bGrOJMB7X0MxMSuq5QGHMrS524RMtwsw8S9KXUUN9xsAO9A8OYaHBSZzKNQjkfI571quU4WmFngTfRMsBp9N0asV+534TCI3jwlffw2zUNyMzLUSzp391/JrYNDidukyM3qCX8e93iGbjivAm0V5I0WvIwu+KcWh68UtQhtbOlE995Ya+ktp1o18j5qWQmaMQ/D6Od7kZJx5hph+3YMWnn056BhAmoQGq+OycGJ7TaiVpbWu9EU633avSZpKPmSSJa7UcpN1DTSHh4FDMmF5t+7WqIbVxuMri4/0INpZggfo5SsXv+1PGa9OT2AdhUQk8O4EQfkJm2oLTQ6v6X9lvm7+2euKxlOxFAuo/biv4F8QA79UsIUcPywe6uri4sW7bM6tM4QlFejuLfx6n83SlSbeaxWiDu7h+yPRhaPfvObtvTksD6sjMlS1UBY8lJX3jY1GtKBbQmdG71JUZxuw8S9CU1mCYmmc7bZDuGBR/zSXc/PuoMITc7E03Hui3ZP4mdBamL0XdrxH7N2NevQLSaIzc7M+FYSoNau1o6sf7LMz25VQtxH2p5WL4vK6H8n1VxTmuHlICctr3arokn/nlYGculSMeYmQq2c7y7Hx919CUMdAuk2rtzYnKLHjsxsy2t9V6NPpN01DxJRIv9qLWB3epLxTaulmuv+9IMZGVmSP5dQOk+zPJNXl6Y5DW02q1TfUBm2kK6+Hu1dzq1zI/XbrtcMi5b1b8gzuepX0KIEpYPdi9btgy/+93vcOutt1p9Ktuxo1y12aTizGO1QJybnelIMLRy9p3dtqclgf0sFFb8jngAjoyhJaFzqy8xihd8kKAvqcE0Mcl0OJjRmSGsQln1qz1JHUcNdhakLkbfrRH7lfuNnhLDBb5s1FWXYVdLJ5qOdUf/X0BtUKtvkJOuiDmo5WF7Wrtti3Na8uB4pLTtxXaNFPHPw8pYLkU6xkyv246Qmy6fX6n4vVR6d04Mqum1E7Pa0lrv1egzSUfNk0TU7KcgN1u1DexWXyq2cbVce2BoBFWBAsP3YZZvcuvEgVREi9062Qdkpi2ki79Xe6dnl+TLvi+r+hfE+Tz1S6zmwIEDrjgGMYZy698EqqursW7dOqxYsQLf//73sXHjxpj/vIxQYmthTSDmczPLVZuNlllWXiNQ6END3DsQEPavTbVgaLftCcmOFEICW5Kv/IyLVf6ejqgldCX5Oa71JUbxgg8S9NV+ahB11WWS30m2w0GLpuw8jhLsLEhdjL5bI3Yn95vaihLZqiDxPqHEn4NvL6pBXXUZNu08gpV1VTEatXtQi6QvSnnYA9fNwoOvvCf5OyvinJIehTw4HikteLFdI0X88xAmxkjh1ATRVMPrtiPkpukUQ+zIH+Nxyk603qvRZ5KOmieJqNmPLytT02pHN/pSsY1r8ZPJ3IeX2shkDC3v28k+IDNtIV38fTIatqJ/QdyeoX6JlfQHOwFk4Otf/zouvvjipP77+te/DgAYGnS+jzvdsHxl95NPPonCwkK88cYbeOONN2L+lpGRgTVr1lh9CZZidblqs3FyPxWr9mcp9vuwYcls3PV8M3aKOsyF/Wv//S+tCGjYO8htqD0vO21P6z7kDTUBySS2oSaA8nG5pl+X11GaMdlQE8C55YW696VzO07Ohg2Gwmg/NYju/iEU5mah0JeNgeFR9A4OJ2hsckk+rp11Fi6bVoZ1L+5LKLeVbIeDVk3ZdRwl3LrKgCSP1pn4UrFIr93J/UYNsU8o9vswZbwfi+dMRmNdFYZHI7jzixdgNAKMjI4iUJCr2Vad2DOOuItkbUAuD2v9rA+N9VWorSjB4PAo8nKysKe1C5t2HkEoPGJ6nJPTVn11GVbUVWHN5qaY7yv5bTe2a/S+p/jnsWnnEWxcXosMIKadYPUE0XSLmW60Ha0IualUxRABM96dnC07EY/Myh/1XrsTdqL1Xo0+k3TVPIlFzX7aTw0o/l7IDQSNdIeG0BceRl94BCX5OfCLtvKRwwpfEgyFMRqJ4Kmb5iEjIwORSASLLpiAbe+fTPiu2N6Nat1LbWRyBrX3bVcfULLtVjUNuc3fW5k/GNWw0Wck956Efv01m5uoX2I5Q6FTACKY+7U7MaHqgqSO1bb3Lex76UkMD7O6oN1YPth95MgRq0/hOFaWqzYbp/ZT0Xo8o8H6nPF+PLp0Do52htDdPxTdv/bf/9KKB66bZfj9ONUZrvV52Wl7aslOsd+HR9mg0IVa4p1qA92Ac7Nhj3f3487/asaOlo7oHsHxpZMbagJY/5WZyABQdlrrxX4fnkiiU07Jh5jV4Wd1xyE7C1IXpXf7z0vnoC88ohiLxHZXkJsNX1Ym2k8NIDQ0IhkvpWw1gghWL6qWHRiM9wmTTk9EiZ7Xlx1j748snZNwzXXVZVh1ZTVC4REU+53bM464B7NsQCoPGxcaQlNrV8yelnXVZdi4vBZrNjdZEuektJWXk4n1L+2P2UZGi982mluq5cxGcmqj7yn+eRTl5+D7fz0XvQPDrpkgmop4qU0sRshNhYkRABLyw2TfnZwtP/TVWXjglffwhwPtMZ/L2biZbdNk80e5e3p4yWyER0YR7Je+RifsROu9Gnkm6ax5EouS/aht6SbODfrCI7hHYrK1UuxLJq+R8ytSx6yrLsO9i2cCQMyAt5S9y2ndrkUdXp6E5UWUfLsdfUBqGlCzBS0a0urv7ehHtqI9K3Xd55YX6jpGMjFRrn8h2B/Gy6vrqV9iG4XllRhfeX5Sx+hp+8iciyG6yYhEIhGnL8LN9PT0oLi4GMFgEEVFRY5cg5mBMhgK49ubm2RnWT1+uoG/enOT5Apd4Tt6zh8MhTUdz4xgLTwrM5JZpzrDtT4vtxIMhdHZF8bIaAQjoxGEwsMo9vtsXzXnBu1qxUy7jT+m21YtavFBZl9nMBTG6ueasKNl7JyrF1WjqbVLcuVOXXUZaitL0XysO2mti32I35eFxvoqLJhWBl92JkoL7NdEslhhp1J4SbteRMo3AEh4t4D2XCCZePnxZyHc+XxzjB7FlVkeW3ah7pzj1X0nUD4uF4PDo9HJb5t2HsG8KaX43rILcft//q+pMdat/tZO3KhbpVWUVuVZ8fFGTF11GRbPmYxrZ51lm33Y5bfVfIARH5EK+XCyz94O3+Im7TrlS8W5qZCvCROwSvJzkq60pGTL9dVlmFtZGjM5BpC2cTdN1NJzT26bTGaVndnlbwXcpF2ijtY2sJ7YJ9hcsD+MweFR7DrUGZ0sKvebeKT8ytXTy3HfV2Zi7ZZm7JBoLzfUBPDwV2dhYHgUfYPDuuzdTX7MKdJRu3r6gIz46GRzRr2/V/L3dti4FTmynuvW8o7sjolWk466tZo9e/bg4osvxtV3P53UwPJHf/4f/HnT/aj/vz/G2dNrk7omNx7rs9YP8PvvrsQ777yDiy66KKlrShcsX9nd2Nio+PdNmzYZOu6GDRvwne98B//wD/+AH/3oR5Lfef3113HllVcmfH7gwAFccEFy5QjswuxAqWWW1aH2Xk37CWlF6/4s8fcp/P2uLc2ag7VZM8WDobAp12MELc/LzUlCsd+nuhqQxGL2Cgc3NyKdWP3Q0RuOGXiorShJ6FQU2NXSica6KjyxrSUprYt9iHglufi8bnknWvHqii1yBiXfED9rW2sukEy8DIbCWPvC3oSJJ7taOpEBGPIJHb1hrH1+r+x1d/WZG2Pd7G/TGaX3MjA0YlmeFR9vxOxq6cS9i2fY6kft8NtqPuB7yy405CNSIR+2YiVwqvoWJ+83PjcVD9KaUWlJyZZ3tnRiZV3idlvxNu5k21QKPffk1DVKYaWdMU8mSmhtA2uNfXKrroUqMsKAt1K8lPIrfl8W/mZ+JY52hiQHugFgx8EOhEciqJk4TtczcJsfI/ah1f6N+uhkc0a9v1eqWmCHjZudI+u5bjdWISWEEDGWD3Z3dXXF/HtoaAj79u1Dd3c3Fi1aZOiYb7/9Np588knMmTNH0/c/+OCDmJk3EyZMMHReu7EqUBb4srBu8YyxfWt9WfD7slHiz4key+z9VJSO5/dlYTQSQVtwAMvnV2JlXVVM+VJAPVhbMTvbyQ42J/c0NoN4uxWvkDjQ1oO+wWGUj8tl4qMDPTZudyPSiP6SKSlm5HzxmhocHo3+f/wKnrycLJT6x/ZFS0brYh/SWF+VUDIdYMOeKGN2bNPrG7TGomTiZUdvGO8c7ZItYz4wNCr5OzmCoTAGh0fwi8b5GF/gw9DIKHr6h/H20c+ieUXPgPKeSXpiLDvt3Inae7ln8QzF3yeTZ6nppl+ljKnZCH6kd3AIJX4fwsOj6B0cNnUvT7Uc3ugEE6/nw8kQDIVx74v7cGFFCVYsmBrjG+97cZ/uihduR0mzd25pxrrFM5CVmWHpSm+13DSZmKxmy+K8VIxg44LO3DT5Q+89mXGNyeZFjNnE6Uo8WtrAWmKfnC0Lbc3G+qqYCdZy8VIqhxfarTdeOkXxOrpCYTS1dul6jlrbDFbtPZ7uVZjMRu8z1RJnjfroZHNGtd/3DQ5pul+tC72StUWzc2Q92rQijlKfhBAzsXyw+4UXXkj4bHR0FKtWrcK0adN0H6+3txc33ngj/vVf/xUPPfSQpt+Ul5ejpKRE97mcxooBV6VZWMX+sX+bvZ+K3PGE1Y4PvLw/Ztao1IxUuWBt1exsJzvYnNrT2CzEdpsqK1qdRK+N2zlRIxn9GZnpafR88ZrKzc4EIG+fDdWBqA8yqnWxD1FaSe6F1WnEfqyIbXp9g9ZYlEy87B0cktSgkAf0DWrXn9wKl5V1VXjveDCq6aI85dRXT4z1+srTVEXtvYyOKu/glEye5aYcTtDEO0e7sHF5Lf75fz6ImXSVrE/RuqrM6AQTNz1Lu+nsC+OG+ZWSvnFlXRU6+1LLtyhpdsfBDhz7LISbn91teftBLjdNNiar2bKQlyb8Lj8neu7l8ysVj2H35A8j95TMNZqRFzFmpzduqZah1gbWEvuUbFmoUhb/Gymkcnih3Rp/jHiC/UO4+dndALQ/Ry0Dila8J7e8+1TC6DNVsv9kfHSyOaPS7/2+LBTl+xLKhkvdr5qNd/eHsf7l/Unbotk5sh2T3OWgPgkhZiPdsrL6pJmZ+Md//Ef88Ic/1P3bb33rW/jSl76Ez33uc5p/U1tbi0mTJuGqq67CH//4R93ndAqzB1zVZmEFQ2OzzAKFPiysCUgeY2FNILqXp1bkjifMGo0vj7SrpRNP7zqCxvozCbYQrIOhMA6196KptQsHPz2FNz48iXeOxlYPiL8fIzjZwWb287cbsd2qrWhN5h2lEmK7PnSyN/pctGpWjF0TNYxcm1Pni9dU07Fu1FWXydrnjpaOqA8yqnWxD5FbsSOQyqvTiH7EK/qeumkefnLjRdi04hLMqSjBfS/uM6wtvb5BayxKJl6W5PskNSjkAcX52uKd0gqXp3cdwYzJxXh61xGsWzwDpQXmxdh0XnnqZtTeSyg8Ylme5ZYcTqwJK3IxNc2Jc3ijE0zc8izVkMvhkmF4NKLoG0dUJmx4Da2rhM3KMfW8MzPyXSVbrq8uQ9Ox7oTPF9YEUJCbHT233IC4gN2TP5TuqU7mnoxeo1ltDsbs9MXudmsyaIl9arYcHjnT9lSKl1I5vOBvhfayFPEa1/oc1doMxfk+09+Tl969V7DqmRr10cFQGNmZGWhIImdU0t26xTOwbus+TferZuODQ6OmPDezc2Q7JrlLQX0SQqzAkcFuADh06BCGh5Vn+sfz61//Gnv27MGGDRs0fX/SpEl48sknsWXLFjz//PM4//zzcdVVV2H79u2yvxkcHERPT0/Mf05h9oCr1pIqwn4q8cHT6J66csdbMK0soRNHYFdLJ2orSqLnDRSO7Uu0enMTrvrBG1jykzdx9Q+345Xm49i4vBZ+X5bs/RjByQ42s5+/3YjttraiRPYdJ/uO4nGTdvUQb9dXff8NfHtzE45396NTQ+nPeOyaqKHVn5hFMucTNCU0gDbtPIKVdVW4TMUHLZhWZljrYh/itg5Kt+FV7VqFsKKvqbULNz+7G6t+tQeNz7yNptYu/M38SnT2GdOWXt+gNRYlEy/DI6OKGhR31imhtsJFiEUXVZZgYlGeaTE2nVeeulm36p2pOZblWW7J4cSasCIX06I5YOy+jU4wccuzVEIph0uG0dGIom9MZrDbjdrVs0o42RxT7zszI99VsuWHl8zGB209CZ8/unQOegeGo+dWGnhyYvKH3D3Vn64+sGnnkZjPk7lGs9ocXo/ZbtSuV7C73ZoMWmKfmi2fU5oPvy9LNV5K5fCCvxXay/F+p6E6IKlxLc9Rrc0QHkkcCNRzfCnc8O5TTbtWPVMjPlqI6dds3IGbFkxNsFetOaOS7i6qLMGOFm33q2TjDTUBvHnYnHzc7BzZjknuUrhBn3Kkmm4JSScsL2N+2223xfw7Eomgra0Nv/nNb3DTTTdpPs6xY8fwD//wD/jd736HvLw8Tb85//zzcf7550f/fdlll+HYsWN47LHHsHDhQsnfbNiwAffff7/m67ISIeBsl3D+RhqMemZhJbOnrhRSxwv2KweuweHRaLAGkDDjy+/LQm1lKfJzsvCzr1+M4dFIzF6ByczOFpKHu7Y0Y/vBjui+vgumlSE3OxMdfWcmBliB2c/fTsR2a+eKVjdpVytyMxl3H+3CGx+eRG1FCX5y40Uxe9iGRPt9Sj0/s/2GHHavjkj2fJNL8vHE8lq0nxpEsH8IBblZ6BtU3js1NyfTsObEPkTooJTquBbeSTrvU+RF7VqJ0oo+AFj/5ZmGjqvkG66eXo7CvGwcau+NsUEtsUhs67uPdqGxvio60FVR6le8pt5B5UmPfSp/F9C6KlDYL9msGGuXv3UjbtatlvdS7PdZlmcp2ZceX2/WHsFW5GJaNCfk8MIEEyGnFtDSIefmfNjK/X9DYWXfF0pi73c3aldJs1KrhI3mmFreGRC7l+ZIJAK/L0v2mWu9FiVbfmzZhZKfN7WeqV62aecRbDx9ffHbETg1+UPqnvJyMrH+pf0xz0vqGvX4N7PaHF6P2W7UrlcQ25DQr1NbUYLB4VHk5WRhNKJvApHV7Ta12KfmM/d90oPfrmlAiT9H8bri+7yAsYk19dVl2NnSiTWbm9BYX4XGuioMDo+iJD8H/UMj+LZoqxIxalqUOh9wxkec6BlQ/L0V+YodFR1SSbvBUBiDwyO6+6i0oNdHx8d0sb0CQOV4P8rH5WrWppzuDnf0Kf4u2H/mfpVs/L6vzMSXH98pexy9z83MHFlNm1p8j9VjFHaTSrolJN2wfLC7qakp5t+ZmZmYMGECvv/976OxsVHzcd555x20t7fj4osvjn42MjKC7du344knnsDg4CCysrIUjjDGX/3VX+GXv/yl7N/Xrl0bM0Df09ODiooKzdcJmJf8ag04Wq9neDSCTSsuwd5PuhGJALPPLo4m+Htau1CUn7iqy8ykPf54h9p7Fb8/LVAQ7XRoCw4kDHQr7fO5ZnNT0rOzheShsy+MCID1L+6zdd9ps5+/XYjt1s4VrWZo1246+8K4sKIEKxZMjWqx+eNuXHhOCf5t52GsfX5v9LtS+2BKPT8jfsOIz7JrdYRwbWq2VJSfo3ofen1QgS8bTad9oxE/LvYhS2rPxvqXEvdnenTpHITCI7gjjfcp8qJ2rcSqFX1yvuHq6eVYt3gGbv/P/42xwYaaADYsmY1zxvtVbV+w9a7QENZt3as5VprlR7SuCvRlZ+LQyd6onsWDj4c7+lCUH07QupJfMStP8yJ26dZIfNL6XqzMs6SOrWdPOi3fjX82hbnZCA0OY2g0grycrGhHpJ4y4lqft5rmhBxe+G0yHXJuzYet3P9XbQuH4nzjOZaV2jXaBpbTrLBH+ZrNY/0JwiBVXk6WofxM6Z3tPto1FsNe3JcQC+PzbwG/Lwulfl/CRDG565GzZbnPxToLhUcSBp6mBQowqThP90QaM5G6drnBewG9+3OalSt4PWYzXzaOYENyfUgNp21gckm+qpbM3F9WLcdU8iUPXDcLd2/dG9NmEPvMl1fXa7Lp+PhclJ+D5fMqsL2lA+XjcjE4PIqMjAwE+4cwc1IRrtm4Q3byjxYtTi7Jx/eWXYiuvjB6BoZRlJ+NUr8PE4vyVCdyGelfcENFh1TR7iddIRztDKG7fyjah/ze8WBCjNTSLyOFXh8dH9ND4ZEYXb922+W6J1lJ6a4oT3mR1sDQCA6d7EUGgDKFyeKdfWFFG1ezRbnrNyt26Z3kbkYcdYM+5UgV3RKSjlg+2G3WHtlXXXUV9u7dG/PZypUrccEFF+DOO+/UNNANjA2+T5o0Sfbvubm5yM3NNXydZia/QPKzteKvx+/LGtsD9I8t+NEfDka/V19dhmUXn6P7+pJBbVbYpOI89IVHcOeWZiyfXxnzd7n9B4V/r1s8w5TZ2cJzXr25KWFvcTNWbqQqgt12h4bQUBOQ7FgyewZ9stp1ggiAptau2MZ2dRkurRqPptbumO8Ktt1YX4UntrUoPj89fsOoz7JjdYT42lYvqpZdHX319HL4sjLHdKrjPpTuob66DK/sbYu+G6N+XNwAeULinQBIuG4gvfyLF7VrJVau6JPyDYV52QkD3QCw42AH7nq+GY8unYOzVVZoC6x7cZ+uWJmXkxldPRKPHj+iZVVgXXUZXt13Iuo/H106BxEkVo0Ra12Lf3TzylMrsUO3yeTUbnsvelYBa/mukB+Lv1NfXYZ1i2fi0f8+gG3vn4x+/vCSWWioDkiWYBTrTM/z1pLDa+lA9DJWrkaxMseySrvJtoHFmg32D2FgaARvHu6MdqDLDVLpOYfSO2usr8K6rXsTYtiOgx2IRCLR/FvA78vCphWX4J6t+2K0ZeZkxXg7EHfkL6wJRP2G2f0PyaKkdSMVEczUg9tigx6YLxtHsKE5FSWSfUg7Ttvfhutn467n98pqycyKHsnqNtgfRm1laXTyS252JpqOdUd9pp4YFK/Z4939eLW5LcG3NVQHUHduGX5/oD3hGPXVZcjLUd8lU+m+rYh9bqjokAra/fizEO58vllycsVzfz4ajZFG+2UE9PhoPXlYMnpTa2e+ebgTTa1dqK0sRfOx7ugxpa7ZqC3aFee15OpmxlE36FOOVNAtIemKbXt2nzx5Ejt37sSuXbtw8uRJ9R/EMW7cOMyaNSvmv4KCApSVlWHWrFkAxmbe/O3f/m30Nz/60Y+wdetWHDx4EPv378fatWuxZcsWrF692rT7EqOW/AZDxvabKPb7cG55IeZWluLc8kJdK7rjr6exvgpP/LEloSG/s6UTd7+wF5+qlA7SSjAUxqH2XjS1duHQyV7JexdmhcntMwKc6YSOX9WptP+gsC+nWY1Wu/cR0fLsvECx34cpgQI86vL9Fp0iGApj/Yv7EhvbLZ144o8taKyvSviNsA+mluenxW8k47PU9Jvsu42/Nrl9wxbWBLD+KzOx9oW9uu9D7h7qq8uwIm4vMj1+XNDwnqOf4f0TPfjw01M4fHJsFXn8O3HzPkXEGcxe0RcfU4BYOxTvCRrPzpZOHO0MabJ7vbYcDIVx30v7sUJC1/XVZXh4yWzNfkROy0InzHvHgzH7C24/2IHXPzyJO/9L3v8d6+zDnf+VOAlAyhcYzdOIPGbk1G56L3r0ofbd9lODks9mZ0snHnxlP2ZMLo75/KHfHMCqK89Fg8I+hnqft5U5gFfyYCtXo1idY5mNWW1gQbMXTSnF1EABmo91Ryd4yU101nMOpXdWW1GS0D4W2NnSicumxepn3eIZ+PG2loRJJMm2+8VosQOr+h+sQs2/fdLdn6B7s/XgpthA7EGwoQXTpCdOA2P2d7QzpKgls9ptZui2MDcHT2xrwc3P7saqX+3Bzc/uxhPbWhQrwOm6Ngnf9p0X9uK+L89EfVw+UXe67bz+pf2K16523wBMj31ei6duJBgKY23cQDcw1jf19K4jmDG5ONpHZbRfRoxWH601D0tWb4INNci0MzftPBLtp1M6ZrHfh4eXzE44jpotKl3/nVuacbSzz/ZYb1YcpT4JIVZg+cruvr4+fPvb38YvfvELjI6O7RmXlZWFv/3bv8Xjjz8Ov1/baiEttLW1obW1NfrvcDiM22+/HZ988gny8/Mxc+ZM/OY3v8G1115r2jnFWFnOTg9CIj44PJJwPbUVJTGz0sXsbOlEV18YE4u07Ykuh55ZZ0qzwg6190aPEb/nrdr+g/1JrHyLx859RNw2M98MvDyD3ko6esOynWq7Wjqjew3FU5yfY9pq32R9lpXvVqoslbh8Y3F+Dkr9PgQKtQ0Yy11T/D3k5WThlb1tkuUqtTwTKQ0LDaENrx7A/dfNitGym/cpIs5g5gxnLTFFzQa7+4c05S96bbmjN4w/HGjHm4c6Y8qyCitTwiPKcT6e+FWBfl8WMjKAtu4BzJhcnKDp8nG5kitdgTGtdw8MyfpoO3O6dMUtObVZdKl0Qon1oaalYP+Q4gSVlXH5Qyg8gpuf3Y3ffLsew6MR9A0OJ8RrI89bvFXHyGgEI6MRhMLDCA2NIBgy9n68lAdbvRrFS/mzXvvRUkpUKj+Ta8Nq9QlK70yNkUgET900Lxqnzi7Nj9luyMj1aEHNDtSe/YmeAVfZjJp/+6gzhFW/2sMqKsR0Jpfk40SwX/E73f3S9ilo2qx2mxk5jlnVkfReW294GHMrS7FSlLfvOx7Evk+CuGF+JT5s78X4Ap+kX9dy3+eWF5qudfqP5NDSbyX0UdmZv2vNw9SuqS04cHo7K/ly65NL8rFu8Qwc+ywkWUkBONNHLXefx7v7sf7l/THbGJbk52BKmR+TFHJcpevfcbADLe29ePbNj1yZK2uB+iSEmI3lg9233XYb3njjDbz88suoq6sDAOzcuRNr1qzBP/3TP+GnP/2p4WO//vrrMf9+5plnYv59xx134I477jB8fK0IDfbOPu0dWVYh7iT6yY0XJfxdbZC4Z0C5fKoaRko7yZVKETcmNu08go2n9+/e1dJp6V7QUnsgWnWu+POaVRbLbaRa6UojxNtVsF/ZX8hptVTjs9TSkZhsg93K/QGlrk1cvnHrqgU4t7wQAHC4o0/xWGr3IbbP+LLyeo4lp2Fhkk5tZWmClu3ep8ipPR2JdszaC0trTFGLcbnZmZryFzVbjt9jNdgfxupF1aitKInuB/heWw827TyCUHgEn7ugXNM9xtuz4BeAMT2veOZtyd+q5UO9A8qT5jgRxVrcMhFIysYA6PKjwVAYYRV7E/v6oryc6N7Egj6EvRE37TwCv0956yYp2w6FRxDsH8LcylLJfeqNPu9iv0+ypLqRAWqv5cFm71sodw433bOA3pzWaClR4f6DoTA+bO9Vvqb+IdW9s5Xe2TmlyrY6NDyKm5/dHf33f/zdZYrfN9NHKdmBmnY/7urHWUWJ2wo4hVquILTxlXQfAYAMiy6QpDRq1ZOU+phODQxJ2q84Xg+NRnDoZG+C/9HrM7tC4ZicOV4D4upIESBmxa3e6kjxqPvz4YQtHYQtJsTbJEr5da25hhWxz63x1Auo2YTfl43CvLH2ZO+gffm71jxMze4Od/Rh1a/2RH8rl79mZWTE5AHxiP1H/H2Kc9w/xG0DIN6WRAq16x8cHnVtrqwV6pMQYiaWD3Zv2bIF//Vf/4Urrrgi+tm1116L/Px8/PVf/3VSg91uQNxgf+qmeYrfNXvQIp74TiKpZF1tkLgoLzmTMHMmn7gxEb+qc3yBz5K9oKU6YDZcP9u0cykNNKXaKiZyBim7eu4blyr+RkqrWu1Na0diMgOtVq++0nNtZg0YB0Nh5OcoDyIoHUtJw8Ks5ye2tcRo2c59iry0Yi7dMWOGs1pM6ewLoy88gt1Hu2T38xX2u14y92zV8ynZcn11GV7Z2xbtHPve/zcHtRUlCZNL6qrLsHF5LdZsblLVrZw9P7xkNsIjowj2DyFfYVBQLR8qzDPuC0jy2D0RSIp4GxP26I0vXSz40QJflmSO19EbxpuHO2MqFIlpiPP1gUIfNq24BI9vO5igj00rLkGhT32CihRF+Tmyurn7S9MVjyn3vM0coPZiHpyOq1GM5LRaS4lK2YtwvhULpiqeY2BoBNf/9M3ov/VWFRN+I7cnZ9Ox7pjP1NrMdsUINV8JwDLtGJlAqbb3qfg5i3XPHJaYgZL9NdQEEnQuJt+XlfB78UCvOF6LbdOIzwz2D0UH1eL3DBcqOJpZHUmMXyXHiJ8kq7bFhJOTvEnytHX3IzdbuU0UCg9j+b/+CQtrAnjgulnw+7ISKuQJmP2OteRhWidZAcr5iJ74NS4vJyZG5vuyDFdh0TNJzI25MiGE2I3le3aHQiFMnDgx4fPy8nKEQiGrT28p8Q12odS2FGYPWkgR30kkdT1K11hfXYbSguSu0cyVOEIyISCs6rz52d348R9b8MB1M3Xvd6KEXAfMg6+8h29dWZ30PiLHu/uxenMTrvrBG1jykzdx1fffwLc3N+F491g5LbesYhLjlX0T3YycXb15uDNhvyuBhuoA2k8Nxnym1d707EkUr7H488n5LKlz+H1ZmFNRgo86+rDn6GdJ24ueazNyH/G2/UlXCP/0n/+LV/a2GfbjWmbdArFatmufIq/t6UiS3wtLKLn6kxsvwqYVl2D1ouqYFaEjoxHcuaUZD77yHm7/4vkJ+/k2VJfh5voqfNDWoyl/kbPl+tP7+An7ZQPA+WeNw/qX98vu/bZu8QzFcyra8/PNeL7pEyz5yZt4pblN1s+2nxqU9Rt11WVo7xl0NKdLd4zGJ7MQ25jfl4XVi6rxi8b56Bscxsr6qhg9CXvmvbrvhGSO1zMwhE07j2ClxP70ddVluP8rMxP0/eNtLZL6+PEfW5Dry5J9NvUSg3LA2DMryM2W1c2e1m5dz1uIoR+292JlXVWCfxGOq3X/UsCdebAW0mn/XyM5rZ5SovH2Ij6fWhv2zcPa9/KWemdyMUy8J6f4nkoLnPVRwNjzyc7MSGgPCwid73q0o7Xtp9aulUPPcwbGdM8c1ru4rS9Bqd21YclsfNDWI/m7uuoy7GntBhC7p7TaQO+nPQO6fabUpI+7tjTjk65QVHMfdY71o4r7x8T7dvfIlGPXQmZmhqyvrasuQ1ZGRszzq60oUdwHXezXnc7tiD6CoTBe//Ak/vdj+fgrttftBztw74v7sG7xDMnvWvWO1fIwJbuTmswml78W+33YcP1sPPeNS2Pa14sumBATvxbWBJCXkxkTIw+fVK5E+HFXv6x/1HP9bs2VCSHETixf2X3ZZZfhvvvuwy9+8Qvk5Y3tBd3f34/7778fl12mXP7L7cQ32ONLbQsYKT2qdZa0+LvDo5GYv0ldz6adR/DUTfOQiYyYVSlCuaNk9+sWzzqTKsFYqqMDSK4sTX11GW6YX4llP3sLN8yvxN9ffi582ZkozMtGZkYG+g3uFSjXARMKj6Dxmbfx2zUNGB6NGFq5oWUlg9tmunIGffIEQ2G0BQck7UrQZ0acFuuqy7Cyfioqx/vx2m2X67Y3PSujjJbgjD+HllntetFzbXrvQ8q2hQG5u7Y045GlcwDo9+NaZ93Ga1nLjGQjq2f0zCbmLODU4nh3Px58eX/M/mriVdOh8AhGRiN452gX/u7yafD7snDt7ElYIVoZ8mnPAApzs3HPl6Q7LKSQ2mP1lb1tCftlA5DcYxAY0926xTOipWvlVspq2bNYnAftjNPzledNwOXnTUjwG0KH+51J+AK9cHuBROwoEa2EYGNCfHvuz0cBjHXqDgyNYMG5Zfj8jIlofObt6HdvPj3oK8573/jwJC6ZWppQoUi8Akvy3DL7ye842IHegWHZ/PjeL8/EP//2QMxvhGfWOzAsq5sHX3kPr65pwL0v7lN93lIxNN6/COjpdHNbHuwG3OYb5HxvNKfNyIj5e8PpahuCP/9Mx9718eeTa2c31ARw04KpWLO5KeF4evOb+BiW78vCntbYPTkFTUwsynPURwk6fOdoFzYur8VoJBLzXIRYtmZzk2x1lnj7ysvOxH0v7Y8psSqVyxtZoS8+V3F+Dr637EL0DgyjKxRGsH8oYe9TgXF5OZ6s+kDc25eg1O66+0szEBoakdXS/KnjY/aUHhwekd3+avvBDnT1Jdqu35eFnKwM3Lt4Jh78zXsJsVQ4V/yxukNDeOdoFwD16kR64mWCH8jKxM31Y3l0/HO44wsXIIII1lxVg7+/4lzsOtSpuopcapK3U36T6KOjN4zycbn49uYmyfgrZa/bD3bg7i9NT9hPvr66DA99dZYp71hLbhQfcx5eMhvfeWFvjN0tumAC/u/nzkNHbxg/ufGimC2DpMqQd4WGsG7r3pj2dUN1AP/0hfPxjWffRig8Eq0ydt9L+2O0raZZQL4Ki5xupJ5/OubKhBASj+WD3f/yL/+CL37xizjnnHNw4YUXIiMjA++++y7y8vLwP//zP1af3lLiVyDEd2SNy8tBWYFP16ConkZB/Hfjy6jHX09Bbjb6Bofxl48+w8VTS3HXtRegb3AERXnZKC3wJT3QDZyZdbb7dMM72cEvcWMk2D+EgaERvHm4M9oYfmJbC57Y1oL66jLMrSyNnstIQ0ppRUkoPIKuUBhzK0sVj2GkY15opNtZzlgNM8tSuq2jzi4EfS6fXyn5d0Gfv/rGpVhRNzWm43v1c014eXV9zN6zWtG7MspICc74c2gtX6bXFvRcm9bvytn2zpZORADcML8yYUBiWqAAk4rV9zsUazh+sk+JPwf94RFcPb1cUstK+xQZ6SyK/81PbrxI8drV9iJPRw07gRnPOmrjEqtCgTG9Nh/rxsDQMDYur0V7zwDWv5S4yhoYW9198dTx2HO0S3NMFdtyfJlygdCg8n7YvQPDinavth+cUEVBnAfd86UZGBgaSfANYr9RkJuNd491Y//xIB5dOgfDoxHc9cXpGBweQc/AECpK/Sgfl2uq/bu1M9gNxPv1gtxs+LIy0X5qAKGhEUt9kRDnGuur8Nyfj+Jrl05JyGnrq8vwbzddgq/9658AAJNK8tC0M7E0/4JpZbh6ejl+f6A9QQ8LawK45XSncvy55Tg1MBTT2S7EvMK8bAyGR3DV9IlYfumUaF7RfmoQGThT7SF+D/BQeASh8Ah6+sOaJl5JxVCxfxHfo55ONzflwVqwOja60TfI2abga19YtQCdvWF09w9Fc9pHfnsAd3zxAty9dZ9qKfJ4exGfT2rCyNQyP7KzMvHVH++SLZkq1WGt9N7i87GzivIwf+p4SU04VcY+Xofi5wIAxfk5eP3Dk1izuQnzppRKakdp4uebhzqjz1Oq7adn8DkYCuNEzwA+7upHRkZG1O/Mm1KKR5bOQaCwEN/e3KSo+8Mdyivi3LiSLd1zZzP7EpK5Brl3INfuCvaHUVtZmjApTeh7it9Tuqm1S/EaegaGY/4tniD+8zcOo7G+KuoXzyrOw2/3nZCc9AEAJ3oGojFWqHQhlbvriZdycWb1omosOLcM//i58zA8GkGBLwuFedn47ivv4Q/vn4x+t6EmgMVzJimew8gkb+IOegaGMDg8mhB//b5shMLDspOUPunux9zKUqyM09GDr7yHx5ZdqDgwreYvteRGUt+5eno5Nlw/GwNDo9HJbP1Do3j0v99PGMDfuLwWRfk5Med848OTeKX5eILmdrR0ABnA5lv+CpkZGQgU+tDZF46ZNCZUPnruG5eiu38oIQcXVmeXKVRZFXTTfmoQrZ+NVXaIf/5i7ad7DCKEpDeWD3bPmjULBw8exC9/+Uu8//77iEQiuOGGG3DjjTciP9/bnXhSKxCEAVgAeO22y3UNVulpFEh9VyrpFa6nrroMtaLBYAD48pzJmDm5WPP1aUGYdfbGhyc1792j5ZjFfh8OtffG7MUmRrySy+h5kl1RkkzHvNBx6ZaZrmbNoHdjR50diPWp1LEXCo/gs75wdE8ugWQ6dY3YsdJAq5Zz1FaUKM5q7+gd2xvYiC3ouTYt39Wyr7bYjwPA1lULNF2D4P/ue3Ef/mZ+peTAiLDCSStGV8/E/8boCoB01bATmPWs1Wz8W1dU48b5lQgPj+J7v/sQjXVVsuUHd7R0YkVdFX70h4OGOifl/FF2Vobq75Ts/sHrZin+Xmzvgp4/d0G55IS1eL+Rm52JtS/sxQ9/fzD6maDdyrICxfPqxQ2dwW5HeD92+yLBdmsrSgBAMqfd2dKJDHyAxtOD1Q+98p5k6fF7XtyHR66fjcHhUU35ndY4Hm+7wVAYt//n/0quIqtacQl+vO2gYrWHgtwc1TiqJYaK709PLuOlFV9W26NbfYOSbYbCI+jsDeNr//bnmM9XL6rG2hf2YldLJy6sKNE1QBN/vvj87LXbLo9+Loc4vzHy3tQ0oTeHNoN4HcY/l6dumocntrXIakdt4mf8pJX4tp/WibXHu/tx5381J1SwEvyOYMtqui/KU64I4LaVbMydzetLMIrRd1CYmyPbpgUSbS1+/+p4ivKU97cWn+tX37hU8dzAmZzEjIqSSnEmAuA7107HQ78Zy2tWL6pGU2tX4kDfwQ40nd4GRc9ENSf8JtFPUV4OPusb87/iOPPUTfMS+q/ERCKQteV47evRqpbcCIDkd35/oB2Dw6N4fHktzi0vxKc9A3jgP96VzNszAHz/r+fGnHPFgqny7eWDHcjMyIj2/YsnaAkTXDbFtSOEWChMqFWqwiIg6KYgN1sxZjIGEULSHcsHuwEgPz8ft9xyix2nshWzVyDoaRRIfVcu6ZUqb1JfXYbCPGte/+SSfMybUoq1z++V/LvRBo7W/XC1nEdqppvSqsxSf47i81JLvNQ65oWGk5GZrkqz9ozO6DNj30S3dtTZgVifSjOvG6oD+LRnIPazJDt17VgZFSgc26+ofFwuBodHUaDS0A/2D2H9y/sTbGH30S688eFJzJtSit7BYVtmner1I4C+TrTJJfl4aMls3C7ReNrZ0ol7tu6Llm7UoksjnUWdfWFcWFGCFQumRlfwRSIRLLpgAraJZuMLKO1rnq4athutjXct/lzNxvNysjCpJB8HPz2FXS2duPHSKYrfz8nOhN+Xhd1Hu9AdGlK8hviYU5iXLemPdrZ0oKE6IFmquaEmgNzsTEW7D4+Myvo5qb3XAG06DobCuHvrPlntmm3zTncGewUnfJEQSweHRxUndO1o6cCKuqnIy8mS/87BDgwMjWrO74zGcTl7aqyvwuPbDkp26Al/bz7WLRsHxJoO9isPOgkx1OgAtZ48WG8ZS7NyDCV7vHNLM9YtnoGszIykzuVW36Bkmw01gYR9s4HYCZF6B2i0akHLd1IlpwmGxkonx5dcFQ/4j8vLwbZ/uhwFudnoHRhGU2uX5opj8ZNWBMRtPy0Tcs5UmUmsApEJ4JsLp+FHfziIjt6wZKUKse6taNtYteotVewsWczoSzBKMu9Ar635sjJl2/l11WUo8GXFHE8pn3jrcCcaagKS2hRy2xmTigAkVroozs9BqT+2oqRg48H+MPy5Y9v9ZWdmoEyDH9hxcKwE+66WTvh9Wfj8jImorSjBjZdOQYEvG8Ojo8jIyMDA0Ajyc7Lw0Fdn4cFX3sPv47ZAcNtENaKPQKEPf/noswQbV+zfqglItsMExNrXq1UtuREATflT78Cw7OD1zpZO9A4MY2LRmXPKVWuUui9xjJSrgDgWCzOwom4qvh1XhUWtf3dgaAT3LJ6B0UgEocERFOefiZluiEFcVU4IcRrLB7s3bNiAiRMnorGxMebzTZs24eTJk7jzzjutvgTLMHsFgp5GgdR3xUnvXddcgNDgCPy5Wdj7cTCmvEnd6RJlfYPDCccwi16VYxspmat1P1y18yjNdHt06RzcK7MqU2k2nFripdQxH99wUpvpKn4+Bb5svNPahQdfeS9hL7kIEmc1ap3RZ8a+iW7tqLMDsT4VJ6HUT8XeT4LRsqK52ZmoHO/HpCRmXNqxMqovPIJXm9uiHVjxWyjE45fYL1pcxk08McbqWad6/YiRTrTegeGY1XN+Xxb+7vJpuPL8cgDA0c4QsjIzsOPgSTy5/XC0lKPUPRvpLIogsXx0XXUZ7l08EwBiBryV7CKdNWw3as/6RM8AHvrNAU3+XM3Gi0+XZRPitNqq/6yMDPz4axchggjuidunTHwNciXjHvrqLNyzNXYf4P2fBPHdJYmfC/bYfip2ElA8XaEh3POlGQnxTyjBGr/XoZqOhbj6WSiMlXVVuLCiJGHwwAqbd7Iz2Es44YuEWPpRRx+6+9XfQ3amcrUCoYKPnioheuO4lD3Fd1Ln5WSh+eNuZGQAsyYXY3B4FFPG+7H8koqE40pp+rlvXKp47VPL/HjttsuTKkmqZcWX0TKWZuQYagMExz4L4eZndyd1Lrf6BiXbvO8rM/Hlx3cm/EY8iVCuFPnZJfmS71yrFrR8JxVyGimbjq/QAIwNUOTlZCVUehBsUmxf8RO883KyUOrPgd+XlTCALqBlQFBRJy2duOOaC/Dk9sMJZaGlKPb78OjSOXj9w5PRibZ5OVn4tGcAV543Qfd7s3LVWyrYmRmY0ZdglGTegd74290fjlYXlFpsEuwPxxxPalK1wKadR/DS6nrc99I+2YUrwuRX4MxK24U1gYQBLDlfsbKuChtePYD7r5ulGme6+4ei7fXv/ff72NHSiUChD/920yX4/v+8H7tvcU0AG5bMxtprp6OnP/kFG8QdFPt9uOK8CagKjFW2Euxy084j2LTiEmRmZCT40Qeum4VrN+6QPaZY+3q1qiU3iqjckxBztOZZwvfycrIUvy8XI7VMmJ03pVTTquwMAHfI/E0u14mP8W2nF9ro1ZpWvXJVOSHEDVg+2P3zn/8czz33XMLnM2fOxA033ODpwW7A3D1n9DQK5L4rJL3XXTgZA0Oj+Juf/2lsRcfy2oR9h9Q6rJLBaANHKTgqNay1ruTSMtNNblWm0mw4tWSpb3DYlAFILZ0c2w924PUPT8YMRmq5BzFmzKB3a0edHYjtP75jryA3G32Dw9G9ueNLLwolGZPByr2wpFZqqO0blikxCKB1n2+zUbLt+jg/YsbEJb8vCz/+2kXIy8lM2BOqoTqAJ75Wi9XPNcnes15fGgyFsf7FxJWpu1o68cAr+9FYV4U7vnCB5N7FSvchRSpr2G7UnvXHXf2aZ2hr9d+CbSnpt666DG8d7sTk4jy8urcNO2X0+r1lF8qWjAMQrWYQ74/k/JRSSVpgzPb++udvYWFNAK+uaUBPfxgFuTnIy8nE+pf2x/xeTcdaBw+E85qJk53BXsIpXzS5JB9ZmRk41N6r+L3K8X6MRpS71/S+SyNxPN6e4jupBRqqA1h15bm4+dndMRMlxR1Rcvnym4c7UV9dluALhGPIDVqaSTJlLM3IMbRWiEnmXG72DXK22dkXlvTd8ROqpEqRKz0fLVrQ8h2v5zRydi+u0CAMfBXkZktuaSDY5LrFMwDETjwVv5OG6kBMDJSamK3WrlXbZ7u9ZxCN9VWabTkCJLRtF9YEcPl5EzT9XsDqVW9etzOzsKPSmBzJvgM98bcwNwfL//XPMRN4xP1tL6+ujzne4LB8fhsKj6CnP4wvzZ4keayLp5Si/dRgzG+kclw1X1FbWRrjB+TIzc6Maa/7fVnYtOKShPYsMDbR6zsv7MXjy2sxbUKh4nEBDoh5iUkl+fD7svDwV2ejLzyMUHhsJXH5uFw8IaETAJg3pVST9vVq1YzcSPiO1mMJ34tEIrL5b3zVVHGMVJrgAoxNQhfijlp8umb2JNXYFd8PJRXj9WpNq17dsKqcEEIAGwa7T5w4gUmTJiV8PmHCBLS1tVl9elswa88ZtUZBdmZGtAyZXGlQ4bvl43KRmZGR0KEgRi4ZkJu1pWf2pZEGjpbgKNWw1rOSS3PpG5mSNnKzgbUkS8kOQGrt5ACA8nG5kuVhle5BjBmrg93cUWc18fYv1uGG62fjt3vbLG/8G/FLYo0X5+dEyx+KNa9nCwXBXvqHEhv2Wvb51nP9Wv2Tkm0/vGQ2wiOj+NwF5aZNXGqsr0JbsB+/2duW2DHQ0gEgEtWu1D3r9aUdvWFZ/yXs1zypOI8adhlqzzojIwOrF1XHrLwSSpfG241W/x0o9KGhJhDVb352Fi6YXBQ9R4k/B4W52Wh85m08unSOZOMeGNNrVyixdL5wfb8/0I67rhmO7mMmRs5PaZ3ctv1gB+59Mba8+GPLLtQcZ/XEVcB8m3eyM9hLWO2LlOLHxKI8DI+MKg7wlo/Ljf6/me9SbxyPtye5SWU7WjowKoo9QGJHlFy+LPiLDInVPGr5odRzBrRtzyDGzDKWRtBTIcboudzuG+RsU+qam451K+pHz71EAECmiIKaXoryciRXMQuxyiz/btVqRS2lxwUd9g4MK9q/LysTC2sCmFNRouojmo91S2pbrV2rphMAWDCtTNP7lyuJbqQD3eqV18ydx9CSi1qlFTPegdb4Gyj0Yd6UUsk2rdi/CccLhsKK+e32gx2YdXZxwv6+wnPz+7Iwf+p4xRxXi694YltL1A/IbUvRdKw7pr3eWF+FUwqln7XqhwNi3kNKDwlbV+Vmo7MvjGC/dPUtqTxRr1bN3NpEa997YW42Nlw/G77MTKyoq0IEiVUcpKqmCjGyLahcraxU9GzV4tNNC6bK/k3QnpYS6nq0pkevrGxCCHELlg92V1RUYNeuXaiqit37adeuXZg8ebLVp/cUco2ChpoAVl1ZjWs27ogmC3KlQeOTCL0dJXKzth766iw88Mp7+EPcPjxyM8KMDJZqCY5Se3rpWcllZukbMVoTr2QmRujZX01tBqGWWeXJDs67vaPOSpTs/8rzJuDy8yZYWmbcCGLti2eBxje011xVk/Bb8er1u6+djvDwaIy9SDXszbBRqWsXX6ucf7Jy5TuQWLoKgGzHwI6WTqw4rV2pe9brS9V8XG5OJjXsQtT2QQ0U+iRL029cXou+wcR3rsXGi/0+bFgyG3c934y7tjTj3//uMqx/cV/COR5ZOgfhEWW9CnuCSl3fms1Nulcyydm9uJSjQHzjWU+c1RNXrbB5MyaWpQNW+iIt8ePsUj8euX4O1r6wV3GA1+l3GW9PSpPKpPblFWtJLpYI8f7Fb9UhMyNDcwyNf87CCrEfb2tJWKmpttrEqlxeK3orTRk5lxd9g9w1f9DWg4eXzFZts8ph1grAQKEPm1Zcgse3HUyIVZtWXGKKf7dytaKa3YtXhzW1dil+Vyit/FFHn6KPWPelGbilvkr2HSnFW2FCndL+w1eer60EuZkd6FavvGbufAalXNRKrdj5DvT66lB4BKuurMZIJJJQ7Wtl/VSsfm4svxVWigNj1WPKx+XG5LlKaK0+El9iXXztDy+Zjftf3h/dIxwYm6geVNnWRYt+OCDmfaT0K16AJFQEEVffksoT9WpVq960fEdP33tDTQDrvjQDX/u3P+GG+ZWSlRekqqbq7ZPXql0pBO1pLaGuVWt69MrKJoQQt2D5YPc3vvEN/N//+38xNDSERYsWAQBee+013HHHHfinf/onq0/vOeIbBQW52dh9tAuNz7wdM5irVhoU0J98K83a+s4LezG3sjRmsFttRphcAwcADrX3Jszi1RocpRrWWldymVn6RowdnVJ6kh+1PVi1zipPZnDeix11ZqI22GTlYKte4rWvNAv01svPlTyGsHp9ydyzMWNycczfpGzBLBs1Ojs8GdtWQ3y/4ZFRqFS3jWpX7p71DM6r+biSfO33nO4a/v/bu/PwKKq0beB3Z+mks0PCqgkJJsNOCMIohEXU0XFBFF4XXAaMOq8CivI5giICbqCDrwo4KMiio6IzsrjjziIoAoYdkUAwCMGYANmTzlLfH9htr9VV3VVdVd3377q4LtJL1anq8zzn1HJOBZPYvn7i2t6Y/cE+j1PTA8DT1/bxukxfv9G5bePwzJi+qKxvwqz39rrNCmBbxwOX/kl0OVERESjIz7I/E9g2Ug4oljVNqSPHel9Re7bu204ouE6V6+/Bs9R2Vc06r/bNN6FArVwkp/04t22cx+kaHdeth9+yc4oF/7w+F6d/H10jxtNJM1ssibUlddYWRJhMHmdr8MTTfi4YkoUFXx3ya7SJWn15qeTcjBPIuvRQn+QSK7M/26L0CMCXviry2JZGmExY6PAsXH+oPVrRV713HB3m67MWcxQ6p1hwsrJe9HMNTS0BHQc+Mao3pq/d4/X5w9f1O0fSspQ8ga72yGv2nZ15GxGqZqwE+zeQkqsr66woq25Eyak6e5/5jiFd0dDUgpioCJRVN6Ki5o9HQdgeSfDMmL7oJPPiv9TZR+JjxGcenD2qN446PI7AdnFPjJT44QUxY/MWv98UVUDAH7NieZp9y5U/sRroo01cZzJ0PJ/u7dz7pkPleOKj/bjpzxmyZ02Vs41yZg7ytn7H9SkxuEROvHJmEyLSC9Uvdj/00EM4deoUJkyYAKv17LRysbGxmDp1Kh5++GG1V6+JQKdkcjwoOFxWg4dX7/H4ObGpQW3knCgRu2vrm6IK3O4yAgTwfUeY6wGO2F28gTSOUk7qV9ZZERVh8nqXudypb1ypfVJKTuenrLpRF3eVG/FEXSA8xb63+FTzYqtcrrEvdhfoliMVkmLIlWtdaBOnzF33er073D51VVUDjp8WP5kYExXhc5t91Rdb3WsRBK+/z9CcNKfnSUkRbjGsJW/7uqy6EV/9+JvH72wuqvA56tqXc9rEoc5aLTr9/fQrI0Xr1f7SSjyyZq/9NcdR3RMvyva7zbHX+7Ia3PDKt14/5+/Bs692NTM1Dl9OGa56nZfTHqg17afeqZGL5LYf3k7aS233g8Gxn7103ADRz3o6aWaLJV+zTURFmlBZJ6199bSfAxltosQ0lgmxUR5vvJXKsT5W1jehoakFW45UuN2ME2ifW099RVfecpG3MvuzLUr28c4+5sXzsjYp0F9Uuz8qZwScr9kHtv98GvExUUj2cQNkoCem28RF4+q+nT2OghvQpY1bbHirU/6eI/C0vGCM+mXfWVwwjt0cb/yqamhGkiUKbeLM6JAUG9ByvRHLb57Of9lu+njwv7vsbcbnDwzDl1OGy74hSE4dt82qIGXmwc4pFkQ6nDuzxW9+dqrHGcuGSowfvV0QC9d+tb/kzIolJZ79yZdS+hOePiN2Lvq89gmi5943HSrHPcPP8/nIgkC20Vf7VFbd6HH5ruuXOoW6lFiTE6+c2YSI9EL1i90mkwnPPPMMZsyYgQMHDsBisSAnJwcxMTFOn/vll1/QuXNnRESI3y2od0pPyaTEnY9STy74O22K1Lsvfd3F+8/rc1WfpnLHz6cxf2weWl2mjlJqKko1T0pJmQ7OVk49TZWt5xN1SlJzOja1uca+2F2gy74pxgf3DsHs9/cFHB9K3HWv97vDC0vOQBAE7ycGslNRVt0YUFx6moJeEASn52PmZ6di3OBMPLpmD2aP6i2rToZLDOuBpxvEjp2uE/2O6zPC/FHjYxm1jc24PT/TY9s54aJsFLy2zenzjs+8ljN1vjdqHTz7Wu45KRZd1X0jtzNKUDoXBdp+6O33cO1ni52U9jTdtuvJb2+jl8cNzsQVL27CgC5tJG2rp/0cyGgTqaNkvH3myWt7Y/qaPZIfzSRWDtu6Tpypx8sbDkt6pFIoCFbdV7KPp3Z/Ue3lyxkdJmX2gU+6tFH12NtWDqnHo2J1yp8+gLflPTOmb1BG/bLv7F0wjt300j57O//l2E+2XTyrbWxGv4w2kpctt47b4v+d70sk1/UOSbF45vdlFR47g/0nKu0DYBz7FkOyU/HEqN6SlqmnC2J6qSdGIvecsZLnqwMhZUYJX9tmjorAkOxUp3MsQ7JT8eS1vuu+1Av0Yu2T7f9S2i7b32I3q0uJNTnxyplNiEgvVL/YbZOQkICBAwd6fb9nz57YuXMnunbtGqwiKU6NKZmCeeejr3Wlt7XgX7f0d5qitM7a4rMMtrslG5tbRO/irW1sDso0lbZnC3t7DhKg3zuyJ47IdrvYMDQ7FTOv6YWahmZc1+8cv6fK5l2t/lN7Oja1uca+2BRJddYWmKDMNOxy48xTHVUiR9qmljtT34R4cyTiY6KQYokO+Dcrr7HiiQ/346Wb+2PSiGwAzicGhuak4YlRvdEmzv91udY9x+en33PR2WfCNTW3Ok3/3Nis/zpJf/y24wdnin5OiX6ArziqbmzBpLf+aDsbm1uRYolG55RYXDn/G7dpxYE/7u6XOnW+WBuk1sGzkQ7Kjd7O6IFrHUuIET8McowtT9997L29uvo9XEfbLPumGPN/n5rZte2ZOCIbBSv+uEnFU523tdG2qVcBOLUlUra1ss4KS3Sk2/FDoFOh+juNZUJslNuFbiDw302vxw1qCGYuUvI4WO1jarnL99bmibWFcupZ5xQLnhjVG0W/1biNqrbFr1LH3oGWWUqdUurRbFN/X164xKve2NoEMYHGohb9JW8xIGcUrJzt9raN238+jfU//YYBXdrg/ktz8MhVPRABEwQIiDCZEBlhwrzrc/2ayeRkVQNG9u2Ef647iLyMNvbjgWRLNBJjoyD4em7X7/TS92a/2j++zxnHYdLF2ZLPFXuixnlJKTNK+Nq2ppZW3J6fhdtdZit54sP9suPKlW2baxqb8MS1vWFtbkVtY3PAj0L0dP44PzsVE38/N+WL3HgNp/4wEelX0C52+yK1c6RnakzJFMw7H8XWNSQ7FZ/u+9V+56ltitJ3vi8RLYPj3ZL/uqW/6Pqr6pvQtV2C6tNU2p4tbPPllOGKTbenpvIaKwpWbHO62GDrYF2zcDM+mDTEbepMqdvAu1oDo9eptKVyjX2x0WDDctKQ6jBVZaACraNzRvcJKEeeOFOPqe/udpraMj87FfdenIMubeNkPyfNUVVDE+qsLZj41g/43+FdMfWv3QGczUFRESYkW6KRmRbv9/IBz3XPluMWflWEpeMG4I7Xtju9b4Q6SX/8trnpKaLxqEQ/QGzmkKE5aThQWunWdgLAf+8e5PFCt+uyfZHSBql18GyUg3KjtzNa81TH5ozuI+mxHJ6+OzQnDeMGZ2LL4Qq3GNDq93AdkeJ481NBfhYSY6OR+vsUpwDwwaQhPuu87WS9aztiI7at3qZunT82D3tPVAac1/yZxvJwWY3bhW4p2yKF3o4b1BLMXKTkcbDax9Rylu+tzXvy2t54/MP9orMOyKlnp+q8xy6gzLG3lPbbV5ml1Knz2ksvp9TlhUO86omtrqjdrw12f0ksBqSOgpW73Z620Ta71/LNxU5TMStxTse2vx787y5075yEvPQU+7mob49U4GBpFeZdnyt5eXroe7Nf7R9f0+R/uu8kCktOSzpX7Ila5yWlzCiRlRYvOpPm5sMVyEtP8diuBlJf5GyznD6A2PnjghXb8MGkIZKWJTdew6U/TET6pZuL3aFAjSmZgnnno7d1DclOxfjfpzyz2VxUARMgWgbXuyWljuJQY5rKOHMkCoZk2Tvm8eYoNLe2wmQyoaLWCvxWo/uRzLYLZ96ecejvlF++7n5/Zkxf1FtbOOJbhN6n0vbFNfZto8FMgNM0TVqNdhSro7Pe34enr+uDR9bskZ0jK+usbhe6gT9GwF3dtzOu7N3RbfSJlDuNHUcu1Flb8Pznh/D854ecPvPllOES94DnspfXWFFRa8Wy8QOx+5czMJmA3p2T0djcah9B19zq+UYyvddJ+iOviI3OVCoeG5tbMeGi8zzf+X1RNhJiI/HS14fdLurFm8VH55zbxvc04I7x7dpW/1xRi8gIk/0Zi/70DySPnkvQ9lnLvhi9ndGStzbkiQ/3Y9n4gTABXtsPb9/ddKgcrYLgNAWpIym/h9IjVzyNSHHsN66bPPRsPTJB1rPFfdW92sYmjyPfxaZuHZjZFvdenIMIk8njFKxq9TOMFkd6nHUpmPtQyeNgtY+ppS5frE/7yJo96JfRxulidzBmiPP32NufkZGOdTohJgrmyAicrjvbl3WcOQ6AvU/Q2NyCwpLTXttq1zhpEQTEmSO93oyntzgPB451xfZYOQCij5Xzl785yp986ysGZlzdU/T7MVERfm23p20sGJKF5ZuL3W4iUGqkcnKcGbNH9ca0Vbud+j2BzgSRlRavSLsm9/eraWzCpIuz7cccrrNXMk945q2tc3xMhm0mQLn1Ws3R9r7awyTL2fenX9UDx0/Xw2Qy2etDXkaKfdu83dShxrnYQLdZyfPHjv0EW6wdKa+V1TeVG6N67AMTkTHwYreCpB5Qyk3a3qbhq21s/uPAT6HE77qu2OhIfLin1N5pcfRNUQUamrw/c8/1bklfo0XVej5PsiXafpfrwq+KnO56dT3A0vNIZrWm3xO7q3XToXIUl9fille32l/T+37SQjAeN6B2Z8819pMs0Xjuhn6oaWjWfLSjWB39/EAZHr6yh+jdpqJTyxV5Xq5tajnHu3Sl3nWr9sgFj6MMs9MwYcR5uOO17fZcnZ+dimv6dvZ4wk/JR2CQOmx5xXV0pu2u7Ox2CQHNPODoVO3Z0V8e7/x+bRte/dsAzB+b59YXiDdHiY5k6/j7RWobT7Foi2/HttnxoNx2UV9um1NZZ8XJqgb84nLCIv+8VMy4uiemr92r+KgBNQXzsTahxlsbUmdtQcGKbfjkvqFobhVQWX/25siICBPqm1rs9VXqFKSOPP0ejvU/3hyFHSWn8cSH++0xFWgd9DVD04d7Su2xJWddYnUvzhyJJIsZk1YWOu2nt+68QHS/zbiqJzolx2JhkEd2GSmO9DrrklL7UGq/VskRgIEsS0p5pSxfLKd8U1Rhfx6uI73OECd3ZKS32R5sFxHyMlLsfQ0AHvsErjHgbeYNT30WGz3FebhwrCue+rVd0+LRKTlWkfwv95xcTWMTki1mzFi71+m4UEq+9RUD5sgIrzE4NCcN2b/PrKDEjSx56SkeL2rFmSPRNz0FpZUNsi9OuQo0H6vVrvmz3GSLGYUlp532mW32mftWFjJPiLDVA1udcn1MBuD7XLEnvuKpotZq/5zcc2Ji7eFferSHOTLCrS87NDsVayfk45N9f5wP9zaAS41zsYHOMKBGn9ffGJb7Pb32gYnIGHixW0FSDij9TdqOd1KdOFOPB/+7S7XE77gu1w6gK7G7wVzvOPU2Ok3tURzxMVFOF7bVvutVLWqdsPB193NlvfP7et9PWlD7ZFKwOnueRnZ0SFJs8X7zVUdt0zBKnUZVztRythwn9a5btUcueB1lWFSOVjiPMtxcVIEnPtznNvJQzZuLSDmOecX1ruxhOWlY8HvdUkJVQ7Pond9n6pvw5tafnerSsJw0pMRFSx4p5y0W77skB4D3tnmTH22Ot8cTzB+bh30nKvHwmj3sA4QRsVxfZ23B6Tor2ifFYtYH+7zWT29sU5A68vR7iE3pLecZ2GLkzNAkZ11idW/G1T3dLhAAZ3OGmIamFvt6gxlvRokjPT9LVIl9KLdfq+SsX/4sS8kpRqVOa+xKjzPEyRlB661OOx6f2/oXBUPOXvD3dbwOwOvMG4KXmTf0FOfhxNNjNhx/m7UTBgf18QeOMT3p4mwUlpz2q1/o+zyKVTQG/b1p1dM2esod3m4kDeQ8QjBnglBruZV1VsxYu9ftN7f9PePqnswTPiTHmXGkvBYT3vzB62fktlti8RRnjoQAuF2QllqXxdrDWdf0wrTVezycX6nA7A/3IS+jDeqsLRiSnYrCY2fclq3mudhAZhhQus/rbwzL/Z6e+8BEZAzi80oHkclk0roIAbM1oMNy0pxet3VmAc8HZLakXVln9bkOX4lfyjLkCORuMNfv2u7izctog6XjBuDduwfhyynDsWBsnmKj0zypaWh26sjmpad4HGkJ/HH3nBoq66w4XFaDwpLTOPxbjezfylf9UuuOP093L6q5n4xIrd8GCH7M65G/ecjXvkuIEb/fKyYqwr5sKXfdun7ONef965b++GTyUPzz+ly/c56vUYZ56SlOr21yeU2rqehJPjXziqukWN+x4Fi/HPs1DU0tePTqnlh3/1Csvmewx3ZdLBatv5+cU6pttq/Lw+MJlm8uxohu7TXpAwQqmPUh1PhqQ+K9TLntWD+9SbE4L9vT7yF2kWf55mL7hR3bOgOpg7bRNl9OGY61EwZj3eSh6JfRxuMIR8d1ifVRxepe/4wUjzOkSH10UbAZJY6k9jm0EOg+NFq/Vuny+nPcBfgfM645Qcljbzn9c6n9V9v/pfQJfI2SH9w11ek1vcV5OAnmrBpyz8kF0v/03b+IVjwGK+vOPsZq5jW9MNRhGz3lDl+DPIKZb9Vq1/xZrq/Z3fpnpDBPSODrXEq8j/ddicVTwZAszHpvb0BtsbdYbGhq9dk+DctJw9PX9cHB0iqn99U+FxsfE+X3OWSl+7z+xrDc7+m5D0xExqCbkd2C4Pm5okYjNrXP4bKagKcoUXOaE08CuRvM03dtd/HaRqWp8WwPV653y3m7Y95GjefzKDUyV8mp/GzEfuN8L3cvAmdHfB8uq+EzVH6nxm8DBD/m9UhuHrLljFN1Vtyen4Xc9BSnZwACvqeWy89ORVl1IwZ0aQNA+l23vkYu/OuW/pjz8QG/76b3Z0RQUmw03r17EJIt0WifGBPy9SWUeMsrABTNv23izRiSnYpvPJzsc2wHEmOj8eWU4UhLMKPO2uL17nrXsojlsS1HKjA0J020bY4zR6JVECRts68T6r7o+Rl9arUzoc5XG2KOjPBZPz29PywnDee1T8CXU4aL/h5yp0KXWwc99ZNtz7SVMkOTlD6qt7p3pLzW43K1enSRFK7bEv/7c4PLqhtQ19Sii/6s3p8tHkguMlq/Vuny+nrcgOtxV5w5EjOu7olWQfD78WVKjox3JKd/Lqf/mhgbDV/jIKobmuDr7FFsdKTP/OwLnxmqjGDPqiHnnFwg54akbpdSMejYXtueaX/P8PMQEx2BtPgY/KVHe3TrlGR/DnV62zivfYBg51u12jV/luvrO/UeHn9A7syREV77evnZqTBHyhtbJxZPg7umKlKXPcWit76sTVJsNO6/NAdNrQKevK4PHr6yGVX16p+LHZqThu0/n8bDq/fYX5N7Dtnf/pqnts/fGJb7Pb33gYlI/3RzsXv//v3o3Lmz5M/PmTMHjzzyCCZPnowXXnjB6+c2bNiAKVOmYN++fejcuTMeeugh3H333QqU2DtvnVmpSVvsoCrYiT+Q6c+UmDpNiYvErnfLBXu0idLTsCh9wsL2O3l6BvC4/EynaS8dNTS1YPSiLfa/+QwVdU4mBTPm9XpCR04ukTJVrI1tajlPn7/34hxkto2zL1vqiAQpI3YCmYLJnxFBVQ1NuOO17Q4XImWtkjTmmlektoty4rlDUiyevq4Ppq/Z6zb19+0O0x+n/n4RrbLOiodktGtieWzZN8X44N4h+LWyweP7tikYH/9gHza5PA7AU5vjK2d6en6nI70/o0+tixZGJLWO+2pDyqo91z3gj/o5+/19Hr/bISnW5+M+5N6kJKcO+soHgYxqd41lT3UvKdbz6Arbo4siTCa3sulhZKVtW/T6TEAjPFvc31ykxPFwMCndDxfLR09e2xtPfLjf/lqcORLLxg/ES18VBXSyWy1y+udy+q+p8b5/ZykxkGyJtt/44w+95ge1qRF7ak+p722dUs7JBXJuKJjb5XpOyXZDteNAkhlX98TDa/bYLwr+65b+ossM5kUjtdo1f5ZrhDZWKi3byjP1ZwcWAM43FNuOHyvrrQDiJS9PLJ58xWkgddlXfbCdS7GVZe6Yvujazv+2xZHYNk8YkY2CFducPu/PeSS5/TVvbd/0q3qIfs9b3MiNt1CKTyLShioXu0ePHi35s6tXrwYApKenS/7Otm3bsHjxYvTt21f0c8XFxbjyyitx11134Y033sDmzZsxYcIEtGvXDmPGjJG8PqVISdqBnrRSI/EHcvd+IN+trLPisff2Ijc9BeMHZ6KxuRWx0ZH4oeQ0Zr63F/Ouz7UvR6yT53q3XLBHmxhhBEPnFAvmXZ+Lw2U1OFPfZO9Mvrn1Z48XBoZkp2LLEWM979SoghXzej+hIyWXyHkeIPDH1HILx+ahrLoRlfVNiDNHIt4chZS4aKdlJ8RG4a07L8CZ+iZ7HrKNFh+Wk4aoCBMKS06jbby0mRL8jX25MzG4rpMxGjxqnHyQevOUr3j2VLaM1Hg88z99cbS81t4OFB47Y79JxLF9lNuuieWxOmsLTADOa5/gcQStrykYXeuzr5wZFWHyOopd6xGnJJ3cNkusDRG7AcJWPwMZUS/nIo+cOiglH8gZ1W4bJWYbERYbHYkzdU2i2+lt+XXWFrzzfQnmXZ+LmoZm0f2m1YlaPT8T0CjPFveHEsfDwaRGP1wsH827Ptf+eps4Mx5du9dtul2pddSf2JL7HanH+lL7r0Md6reUGFArTvScH9SkZuzpZXYa15gO9NyQp+1KiI1CbWMzdh07jZQ4M6zNrahpbA6ojfPV9z5T14RHXZ5DradHiqjVrvmz3FBpY7VuKxNiojF2yVYUDMlCQX4WGptbnY4fP5g0RPYyveUJX1NXi9Vlb+2a7fUWQfA6i5Pr+RU12gBP2xwVYcIV8zd5PEZR8xyyWNt3RckZv+JGbryFSnwSkXZUudidnJysxmIBADU1NbjllluwZMkSPPnkk6Kfffnll5GRkWEf+d2jRw9s374d8+bN0+Rit6+knRAbhQf/uyugk1ZqJf5ARhL5+92KWitu+nMGlm8udrpAZbtTsKLWKumkvuvdcrbRJibA6WS3WncWG2Ualg5JsWhpFez7yTaaztrc6rSfhuakYdxgzyO+9XLxPpQEI+aNckLHVy6RM1WsnKnlxEaLv/19Ce4c2tV+MGIbhSMAbp93HCEL+Bf73u7+HZqThokud/96WidjNDjUOvkg9RlWYvE8Z3QfTFu9R7RsvkaoyG3XfOWx1N9POjzjoW7LnbbO1wn14vJaPH1dHzy6dm/QRheRsvxts7zleqn109+6IfUij9w6KCUfnNc+QdKodlufz7XPPfT3z3nLW2IjUh4f1dvnyHctT9Tq+WZULUZBBosSx8PB3H61+uHecorj64fLarw+V9ZXHfUntvyNRyn50dtMYo591fzsVMy+ppd9WVJiQK040XN+UEswjgf1MDuNa0zbzg0BzqNT5dQjx+06caYeD/53F3b8fBrzx+bh2U8Pui3XnzbOV9+71trsli/09EgRtdo1f5YbCm2sHs7fpCWYMaBLG4/HaWq0j/60xd7atSev7Y3HP9yPLw6U2fvAgiA4nff0dC4FUKcNcN3mwpLTojfjqnUOWazte+LD/fj4vqF47D15x9By4y0U4pOItKXKxe7ly5ersVgAwMSJE3HVVVfh0ksv9Xmx+9tvv8Vll13m9Nrll1+OpUuXoqmpCdHR7nd/NTY2orGx0f53VVWVMgWH76Rd29gc8EmrUEr8za2Cx9Fctr9njewluZPnerdckiUaz93Qz+doEyUYaRoWKfupRRBw7UubvXa+tLp4r2bsaikYnb1QOaEjdapYOftObLR4hMlkv8Bsi4c6awsKVmzDjKt7YvpVPXDkt1q3EbI2/sa+2HOcP5g0BBW1Z1/3tE5APzfY2IRa7Kp58kHqRWaxeP65ok60bFJG3sht16TmMU/rPjsFnu9t9rWuoTlpeGJUb7T5fdYGPYwuMjIt41bpNkvtdtbXBeGqeiuu63eO7DooNR9IGdXubQaFTRLyViDPA9TyRK3eb0ZVaxSk1m2uEsfDwczVWp509beO+hNbwYjHzikWPDmqN4p+q4G1pRXtEmJgjopAaWUDFozNc5udSEoMqBUneswPasduqBwP+uIa03XWFty3shAzru6Jx67uiXprS0DPeLfF0aSLs2XNTOSLr753rYdzM0pcyFeSWvHqz3KDOdOAGrGrh3gNZvvoz7rE2rVH1uxBv4w2+OJAmT0HFAzJwoSLshEbHYnY6Ah8vPekx3MpgPptgFbnkMXavjprC6rqrX7Fjdx408NMIFr3l4nIf7p5ZrcUb7/9Nn744Qds27bN94cBnDx5Eh06dHB6rUOHDmhubkZ5eTk6derk9p05c+Zg9uzZipTXE7GkXVhyWvS7Uk5ahZLWVsHjXajA2c56S6sgq5Pn6Q5BX89ZVILRpmHxtZ8Ol9WI3mWo1cV7tWNXS2rHvB5P6PjD10FBZmocvpwyXNa+E8sxmw6VY/zgTLd4qLO24OHVe/D5A8Pw9vclqsS+2IgglNXghle+9fpdPd1gA4Re7Kp58kHKga+veD5T7/l9x7L5GnnjT7smNY+5rvtwWY3o9niqz1LWpYfRRUamZdyq0Wap3c6KL1/68wwdyTkR5mtUe156iqwZFFz5E09an6g1ws2oauQpPbS5ShwPB5NWx97+1lF/YitY8ZgSF43Xthz12n+4a0iW02tSR40r/VvoMT+oHbuhcjwohVox7RhHgbarrnz1vVMs7nXS8SLetCu6o7GpFW3izJqeO1Sr/+3PcoN1LKBG7OolXoPZPspdl1i79k1Rhf1548DZWFn4VREWflWEL6cMBwCv8Quo3wZodQ7ZV9sXHxPtd9zI/Z7Wx+p66C8TkX/EH+KikHfffRc33HADLrzwQvTv39/pn1THjh3D5MmT8cYbbyA2Nlby90wmk9PfgiB4fN3m4YcfRmVlpf3fsWPHJK9LquQ4M85rn4B+GW1wXvsEewKXe9LK0zJCSZ212cf7Lbrp5Imx3YU4LCfN6XWjjsa3dbw80fLifTBiV0tqxrweT+j4w1fdPCfFInvfSR0t7kltY7Mmsa/XGPUm1GJXzXZJym8r5/nA/pbN33bNnzzmb30Oh36SlrSMW7XaLLXrjNLLVyLX22LZFzX601r34Y3WVipFL22uEsfDwaRFm+JvHfUntoIVj0Y5LtZjflA7dvUae2pRI6Yd40jsGBGQH1O+Yqd9YozHOltnbUFhyWnsPV6FnPYJ7BNrQI3Y1VO8BrN9lLMuf8/jVDc0ad4GaNVWar3deqKX/jIRyaf6yO758+dj+vTpGDduHN577z3cfvvtOHz4MLZt24aJEydKXs6OHTtQVlaG888/3/5aS0sLNm7ciIULF6KxsRGRkZFO3+nYsSNOnjzp9FpZWRmioqKQmprqcT0xMTGIiYmRsYXKMdoIYLUlW3zcxe3h7lVXejkoC6XR+FpO5ydGy9g1ulDJPWrUzUAuHCbGRmsS+3qNUW9CLXbVPPkg9bf1Fs9Dc9Lcpgn1t2zBqttGq8/hgv1l7SkVG51TLKhtFL/BVI3+tNYnasM1t+i9zWV8/8HfOupPbAUzHo1wXKzH/KB27DL2AucYR2LHiIB/MeUrduaO6es2bXN+diruvTgHmW3jdBVj4USN2GW8+ubveZzE2GhdtAE8j6QtvfeXicg71S92/+tf/8LixYsxduxYvPbaa3jooYfQtWtXPPbYYzh16pTk5VxyySXYs2eP02u33347unfvjqlTp7pd6AaAQYMG4YMPPnB67bPPPsOAAQM8Pq9ba3ppWCrrrCivsaLq92c2p8Vrc/AptQNnlE6enGlY9PIbeGOEkxQknZzco5e66a0cStdNX3morLrRw7ec848WUzAxRrWj9skHX79tcpwZc0b3wc8VdThT34TY6Ej8UHIaB0urMHNkL8z+YJ/H5fpTNn/rttw8wvpMjvTSXw4mtdu89okxmDO6D9onxqCxudWeN5Z9U4wBXdqo0p/Ww4la5hb9USO+9dJ39Yc/ddSf2PL2nThzJGZc3ROtgoDCktOK7T+tpyeVItzyQzi2rXL5yiWOcVR47Azys1M9PpbPUxxKzVNisdM5xYKFY/NQVt2IyvomxJkjEW+OQkpcNH+/EKNlvBqlTRVrC4dkp3q8AdwxNl3bgPiYKJgjI1BW3YC6ppagbDfPIxERyaf6xe6SkhIMHjwYAGCxWFBdXQ0AuO2223DhhRdi4cKFkpaTmJiI3r17O70WHx+P1NRU++sPP/wwjh8/jtdffx0AcPfdd2PhwoWYMmUK7rrrLnz77bdYunQpVq5cqdTmKU7rhuXEmXq3u0GH5aRh7pi+6JxiCUoZbKR24PR2UBZo509Pv4EYI5ykIOmk5B691E1f5VCybvrKQ7b/6yX/OPK0H4xycGpUlXVWVNRaMfOaXpj1/j63OqpUvRCr4yfO1GPa6j1O6x6ak4Y51/XBuW3jMHtUbzQ2a9dm+ptH2OaQI637y8HMpcFo82qtLfh4dyk2FTmPBls2fqBqo8H0cmGFuUV/lIxvvfRdAyG3jvoTW56+E2eOxLLxA/HSV0V4ePUep+Xobf+plZPDLT84xp7tYmlEhAn1TS2orFPmue1GJSWXOMbRsm+KMX9sHgA4XfD2FIdK5qlwq7PhTIu+sJHaVLG28Mlre+OJD/c7ff4vPdpj1jW9UF5jxZHyWntbcl77BENttxKYR4jIyFS/2N2xY0dUVFSgS5cu6NKlC7777jvk5uaiuLjY/vxspZSWlqKkpMT+d1ZWFj7++GM88MADeOmll9C5c2fMnz8fY8aMUXS9StOqYamss7o14ACw8VA5pq3ajQVj83R5V5nWJzwdBdoJ0uNvQOFDLPfopW5qUQ5fOUYv+ceXcDtICzbH/RtnjkTBkCzcM/w8xERHIMViDkq98BYfmw6V45E1e7BgbJ6mbaZe8giFBq36y8HMpcGIGfs6ipzXsbmoApEmExb8frJeDXrqw5O+KBHf4dzm+BNbrt9pE2fGo2v3uuUGve0/9m+VlRxnRq21BbM+cL9pM1z3qZxc4hhHtY1NePraPrC2tKK2sdljHIZznqLABbMvbMS6KtYWzrs+1/56kiUa5sgItxvGh+WkYc7oPm6vA/rebiKicKb6xe6LL74YH3zwAfr374877rgDDzzwAN59911s374do0ePDmjZ69evd/p7xYoVbp8ZPnw4fvjhh4DWEy7Ka6xuDbjNxkPlKK/R5m5eKR04Pdx5pkTnT6+/AZFe6qZW5RDLMXrIP74Y8eDUSFz3b521BQu/KsLCr4owLCctaPtXanxoVWf1kkeI/BXsXBqMmNE6Lo3QhpIxaV23teZPbDl+53BZjduFbhu97D/2b5XHfepObi6RE3vhnqfIOIxaV73Fo+PrlXVWTFpZ6DHv/VxRZ8jtJiIKV6pf7F68eDFaW1sBnJ1WvG3btvjmm28wcuRI3H333WqvniSqrLPiVJ1V9DPVDU1BKo0xKdH5q/Kxj/kbkFb0Uje1LodRpwE36sGpUehl/2odH74EUj6jxh7pTyB1KdixHoyY1nveIPKXUeu2Xto7I+w/vfS/Qgn3qTs1Y8EIcUYEBKeuatX+ieW9M/WMUSIiI1H9Yvcvv/yC9PR0+9833HADbrjhBgiCgGPHjiEjI0PtIpAPtqm/xg/OFP1cYmx0cApkUEp0/pJ87GP+BqQVvdRNLcth5GkSeSJFXXrZv3qJU2/8LZ+RY4/0JdC6FOxYD0ZM6z1vEPnLiHVbT+2dEfafXvpfoYT71J2asWCEOCMC1K+rWrZ/YnkvJipC9LuMUSIifRHP2grIysrCb7/95vb6qVOnkJWVpfbqyQfHaaoKj51Bfnaqx88Ny0lDWkJ43cErlxKdv7QEM4blpHl8j78BaUkvdVOrcvia0q/Sx8wYWuOJFHXpZf/qJU698ad8Ro890g8l6lKwYz0YMa33vEHkL6PVbb21d0bYf3rpf4US7lN3CbFRGOLlPNmQ7FQkxPo/hsgIcUYEqFtXtW7/xPJe4bEzGMoYJSIyDNUvdguCAJPJ5PZ6TU0NYmNj1V69rlTWWXG4rAaFJadx+LcaXZygdZyuZdk3xbg9P8vtgvewnDQ8M6Zv2E1XJZcSnb/kODPmjunrthz+BuRNsPKKXuqmVuWQMqWfnvFEirr0sn+ViA81c4o/5TN67JFvwWrHlKhLwY71YLR5emnfKXyEW99VKr21d0bYf3rpf4USpfapHs99+au2sRnjPZwny89Oxfj8LNQ2Nvu9bCPEGelbKLSpWrd/YnnvYGkV5lzXhzFKRGQQqk1jPmXKFACAyWTCjBkzEBcXZ3+vpaUFW7duRb9+/dRavW5U1llRUWuFAGDWe3uxqajC/p4epuB0nK6lztqC+1YWomBIFgrys9DY3IrM1Dick2JhAy6BrfM3bdVubHSZesdXJ8jx2TTJlmj88/pc1DQ0o7qhCYmx0UhL4LNJjU6N5w8Fe6qnzikWLBibh/Iaq6Z1U4tyaDmlnxJ1J5D8RL6pvX+l1oHKOisamlrw6NU90SoIqGtsQbJFenwEI6fIjV9OpxnagtmOKVGXtMilwWjzAlmHY35KiImCOTICZ+qtSIjV7lnDFHxS26lw7btKocf2Tuv956tesX+rPCX2qZ6m41dCZX2T23mymKgIFB47g/tWFuLtuy6Q1Vd3/ZzWcUbGpVSsSa2/atVVrds/sbz3+Kje6KTQdmv1THIionCi2sXuwsJCAGdHdu/Zswdm8x8J3Gw2Izc3Fw8++KBaq9cFW8cjNz0FhSWnsdnhQjfwx5QsC8bmadLAVdZZYYmOxL9u6Y/Y6Ej8UHIay74pxsKviuyf+XLK8LBvfOV0SPzp/Il1UM9rn6D49lDwqXHA72uqJ7XySnKcPjrkjmWoamgCTO6vK0mrKf0CrTuu+euf1+eitrEZVfU8kaI0uflf6QsDYp+TesEqWDlFTh7RejpNnpRQj5p1zuPvZolGnDkSBUOykJeegsbmVqf+r9S6pMVJ6WC0vf6sw1Peyc9Oxe35WRi7ZCsGdGlj2IsbJJ3UdirU+q5Ktw9at3feaNX391SvhuakYdY1vWACkPr7/uaFQnH+1NNAb4DSIs7VlBQbjTpri9N5Mps4cySSLGZMWlkYUF+9s4wBJuybEqBcrMk936BGm6BG+ycWJ/7cdBLodofaTUBERHql2sXur7/+GgBw++2348UXX0RSUpJaq9Ilx47H+MGZHjvGwB9TsgS7c+rt5NT8sXm4b2Uh6qwtnPoL/nVI5HSCQvFgkJyp9RtLmeoplOtOsA8WbFNbbfSwz9XKlYHWHbF91LUdb6RRg9T8r/SFASXyjF5zihaxZ8OTEupSq855+93mXNcHy8cPxPyvDjn1y/OzU7Fs/EBZdUkvN35pyVvesd3cWzAkCwu/KmJ/NsTJaX/02s74Q432Qcv2Tm+81atNh8rx2Ht7kZfRBruPnXG6SGiUuhNMgdRTf/dpKMW5jVhszri6J2as3YtNRer31QH2TekPSsSaXs5HKt3+icWJCcBDCtx0Iode9jMRUThQ/Zndy5cvt1/o/uWXX3D8+HG1V6kLjh2PxuZW0c8Ge0oysZNTyzcXo2BIFqf+gu8OiRLPwtH62TSkPrV+Y62netJSMGLTlRbPUwuk7mixj0gaOb+N1DqgRJ7Ra07R6lmGjCH1qVHnxH63jUXlWPhVkdtMS5uLKvDS155vSiXvxPLO5qIK5KWnAGB/NtTJaX/02s7IpVb7wGf3/kFKfmF7LE6rfkyoxLkjsdjsn5HidqHbRum+Ovum5EiJWNPL+Ugl2z9fcbL+p9+CHkN62c9EROFAtZHdNq2trXjyySfx3HPPoaamBgCQmJiI//f//h+mT5+OiAjVr7drwrHjERMlvo3BnpLM18HjjKt64q4hWW4dCj1Pl6RG2YJxV3IoHgySM7V+Y71OdagUsZjWasRAsKdJDKTulNdYsePn05h0cbbH6XqNOKoiVPiqvxW1f5wUq6i1Ytn4gfbfrc7a4vR5Wx1QIs8onVOUbJe1mKI0FEcm6Y0a7ZjY79Y+McbrCelNKv6modp/9pV3HG/2ZX82dMlpf0Kl7+qYZzw9GuFMXZOh2rtgk5J3pOYXtsfeadWPMUqcy2n/KuusqLe24P5Lc/DIVT0QaTIhMsKE1HgzjpTXiq5Hyb46+6bkSIlYU+vGU3/6lkq1f77iZNzgTK/veYohJfrxPO9LRBQ8ql/snj59OpYuXYq5c+ciPz8fgiBg8+bNmDVrFhoaGvDUU0+pXQRNOHY8Co+dQX52qttIEkCbKcl8NbQNTS1ujbeep0tSq2zB6JAY5WCQ/KfWbxzKUx36imktDxaCOU1iIHWnprEJ88fmYfnmYrfpeuePzUNtIw+otCJWf+PMkRAAt+f+uT5mxMZWB5TIM0rmFDXa5WBPUcqTEupTox0T+920mGkplPvPvvKO482+7M+GLjntT6j0XW15Js4c6bGvNfT3kWhGae+CSWrekZNf2B57plU/xghxLqf9E/tscpwZSbHiIzKV7Kuzb0qOlIg1pc9VBdq3VKL9k3MzpivXGFKqH8/zvkREwaP6sOrXXnsNr776Ku655x707dsXubm5mDBhApYsWYIVK1aovXrN2DoeALDsm2Lcnp+F/OxUp89oNSWZ3IZWz9MlqVm2YHRIHOuJK70cDFJg1PqNQ3WqQykxHS4HC4HUnRSLGcs3F3ucrnf55mIkW4xZP0KBWP0tGJKFWe/tFX3MiI1jHVAizyiVU/TcZ5AjXPKMltRox8R+t2DPtKTnWFCibGJ5Jz87FYXHzgBgfzbUyWl/QqXvasszBUOyPPa1NukgxvVITt6Rml8AtsfeaNWP0Xucy6mHUj4rNQcq0Vdn35QcKRFrSp6r0ku/V87NUq4cY0jJ7eF5XyKi4FF9ZPepU6fQvXt3t9e7d++OU6dOqb16zdg6HtNW7cbGQ+W4b2UhCoZkYeJF2YiJjkCKxazZlGRy7wDU83RJapYtGHclu9YTx+Xr4WCQAqfmbxyKUx1KiWkjjBhQQiB1x9rS6nE2EeDshVNri/gIR1KPWP0d3DXVaXSYo81FFSjIP3ux27UOKJVnlMgpeu4zyBEueUZrSrdjYr9bWXVjUH9TPceCEmXzlnfys1Nxe34W7ltZyP5sGJDb/oRC39WWZ/LSU7y22VrHuB7JyTtS8gvA9liMlv0YPce5nHoo5bPntU+QlAOV6Kuzb0quAo01Jc9V6aXf6ytOyqobPX7PNYaU3B6e9yUiCh7VL3bn5uZi4cKFmD9/vtPrCxcuRG5urtqr15ReO/lyG1o9T5ekZtmC1SHRaz0h5aj5G4faVIdSYlrqSYVQ4G/dqWlsFn2/1sf7pB6xtkXKyNMvpwz3WAeUyjOB5hQ99xnk4EmJ4FGyHRP73Ub8qR2G/6ld0H5TPceCUmVzzTvxMVEwR0agst6KDyYNYX82TMhtf4zed7XlmQOlVaKfM0p7Fyxy845jvTpTb0VjUyu2HKmwP9KF7bE4rfsxeo1zOfVQ6mel5kA9XZik0BForCl1DKmXfq+vOLH931cMKb09PO9LRBQcql/sfvbZZ3HVVVfhiy++wKBBg2AymbBlyxYcO3YMH3/8sdqr15xeO/lyGlo9T5ekdtmC1SHRaz0h5fA3lkZqTIfTwYI/dUfPeZu819/yGvHp0FLjzTivfYLX9/WQZ0Kp7oVTngklvn63YP2meo4FJcvmOe/E+1EqMjI9tD/B1DnF4vPGQSO1d8HgT95xrFeVdVZ0SIrFpd3bsz2WiP0Yd3LqoZzPSs2BerkwSeRIiTZcT/1eJY4F1NiecOsrERFpQfWL3VlZWfjpp5/w0ksv4ccff4QgCBg9ejQmTJiA5maOLNOS1IZWz9MlBWuqcXZIiIJDTkwzNr3Tc96ms7zVX6P/bqFW95hnjEnsdwvWb6rnWNBz2YiMon1iDONIhkDzDttj/3C/OZNTD/XaVvI3JT3SW7wEeiygt+0h0ouSkhKUl3ue4l+OAwcOKFAaIndBudhdWlqKp556yun1iooKpKeno6WlRe0iUID0PF2SnstGRPIxppXB/WhMofC7hcI2EClBz7Gg57IRGQXjSB7uL9IDOfWQdZZIulCLl1DbHiIllJSUoHv3Hqivr1NsmU2N4rMbEsml+sVuQRA8vl5TU4PY2Fi1V08K0fN0SXouGxHJx5hWBvejMYXC7xYK20CkBD3Hgp7LRmQUjCN5uL9ID+TUQ9ZZIulCLV5CbXuIAlVeXo76+jpcUDATSZ0yA1pW6Z5vsff9xZz1mRSn2sXuKVOmAABMJhMee+wxxMXF2d9raWnB1q1b0a9fP7VWTyrQ83RJ3spWWWdFeY0VVQ1NSLJEIy1ev9tARH/Qc75Rk9I5K1z3o9EF+3dTo61k3SOjCqc8rOeyERkF4+gsqbmT+yu86eX8jJx6yDpLJJ0W8aJmXmH8E7lL6pSJthndAlpGVelRZQpD5EK1i92FhYUAzo7s3rNnD8zmPxoHs9mM3NxcPPjgg2qtnggnztRj6qrd2OQy5czjo3qjst6KhFhlOkF6OWAjIv95imMAQY1tbzlr7pi+6JxiUW29FHx6ajdCtd7paR+TcQQjHlg3lcX9SeQff2LH23dCtS9BymI98SwY7RjbSgpVSucVLWOFcUpEFDjVLnZ//fXXAIDbb78dL774IpKSktRaFZGbyjqrW4cHADYeKsf0tXuQl9EGC78qCvjgigdsRMbnGsdx5kgsGz8QL31VhE1FwYltsZw1bdVuLBibxwOdEKGndiNU652e9jEZRzDigXVTWdyfRP7xJ3a8fWfO6D6YtnpPyPUlSFmh2ucMVDDaMbaVFKqUzitaxgrjlIhIGRFqr2D58uWKXOhetGgR+vbti6SkJCQlJWHQoEH45JNPvH5+/fr1MJlMbv9+/PHHgMtC+ldeY3Xr8NhsLqpAXnoKgD86QZV1Vtnr8NWx8meZRBRcnuK4YEgWFnx1yOlCN6BubIvlrI2HylFew3wSCvTWboRivdPbPibjUDseWDeVxf1J5B9/YkfsOz9X1IVcX4KUF4p9zkAFox1jW0mhTMm8omWsME6JiJSj+sVupZx77rmYO3cutm/fju3bt+Piiy/GqFGjsG/fPtHvHTx4EKWlpfZ/OTk5QSoxaamqoUn0/cbmVvv//T244gEbkfF5iuO89BRsLqrw+Hm1YttXzqr28T4Zg97ajVCsd3rbx2QcascD66ayuD+J/ONP7Ih950x96PUlSHmh2OcMVDDaMbaVFMqUzCtaxgrjlIhIOapNY660kSNHOv391FNPYdGiRfjuu+/Qq1cvr99r3749UlJSVC4dKUWpZ5QkxUaLvh8T5Xyfh1gnyFuZeMBGZHye4tjxZhhP1IhtXzkrMTZa0WcrkjZaBAFLxw1AY3MrYqMj8UPJaSz7phh11hYAwW83fNW7WHMkKuushqozbJvJX77iwRwVgUO/VsMcGYEz9VYkxMrLqaybyuL+JPKPr9ipbWxy6z9W1ns/0e56XO0q0UdulYP9WvWovW+lHOtIFSr1IBjtGNtKMgJ/Y1rJvCIWK3HmSLQKAg6X1aiSdxinRETKMczFbkctLS3473//i9raWgwaNEj0s3l5eWhoaEDPnj3x6KOPYsSIEaKfb2xsRGNjo/3vqqoqRcpMvin5jJK0BDOG5aRho4e74/KzU1F47IzTa946QWJlUrJjRYFj7JI/PMVxME/a2YjlrGE5aYiNjsCklYWKPFtRb899CpfYPXGmHk98sA+bHGYNyM9OxfyxebhvZSHqrC1Bbzd8tZUf7i7F7mNndFdnxLBtDo5QjFtf8fDx3pNY+FUR8rNTcXt+FsYu2YoBXdpIjg/WTWVxf/onFGOX5BGLnThzJJIsZrc+51t3XuD1O4XHzmBoTprHUWnDctKQlqDMxQCj9GvVombsBmPf+jrWkVpPQqkeBKMdY1upPba74gKJaaXyCuA9VuLMkZg/Ng+PuxzHK5l3GKf6w7glMi7DTGMOAHv27EFCQgJiYmJw9913Y82aNejZs6fHz3bq1AmLFy/GqlWrsHr1anTr1g2XXHIJNm7cKLqOOXPmIDk52f4vPT1djU0hF0o/oyQ5zoy5Y/piWE6a0+u2E5TLvim2v+atE+SrTAmxUW7L97VMvamss+JwWQ0KS07j8G81hn4WDGM3PAVah20HSI4Kj51Bfnaqx8+rFdvectawnDQ8fV0fzHx/n2LPVtTbc5/Ujl095Dn77+EyPf7mogos31yMgiFZmrQbUtpKPdYZMZ5i2sYobbMRhGKbK7Xv6Bi3cuJDbt3UQ+7SM8a6f0IxdkkesdiZcXVPzFi7163/uOVIBYZ46Rsf/a0GT13XB0M99GGfGdNXkZFvRurXqkWt2A3Wc6Mraq2YeU2vgOpJqNWDYLRjbCu1x3bXOyVi+vFRvRVpf7zFSsGQLCzfXOx2HK9k3mGc6g/jlsi4TIIgCFoXQiqr1YqSkhKcOXMGq1atwquvvooNGzZ4veDtauTIkTCZTHj//fe9fsbT3Tvp6emorKxEUlJSwNtAnh0uq8El/7fB6/tfThmO89onyF6ubTqc6oYmWMyR+KHkDJ74cL99ylhbJ6iTh7vxfJXpq/83HLHRkZi2arfTnYRiy9STULorGmDshiOl6vCJM/VOcRxnjsSy8QPx0tdFbstWO7Ydc1ZibDTSEsyoqLXi4ufk5Ue1cqoa1IxdveQ5X7/HW3degKy0eM3ajco6K0orG3CkvBYxUREoPHbGaXp1QF91xhfXmAaM0zYbRSi3ubY8fLrOisr6Jo/xAABLxw3AHa9tByA9PqTWTb3kLr1jrMsXyrFL0nmLnelX9cDlL2xy+7xtZNtrW4465aW/9GiPGVf3xOMf7kf3TknIS09BY3MrUizR6JIah3PaxClSXiP1a9WiVuyqvW8d27M4cyQKhmRhcNdUxERHIMViRlqC9KmAQ7EeBKMdY1upLba73gUS07bcsuPn0ygYkoW89BQAwLltLOiYFOvXjVaeYuWtOy/Aza9u9auMga6bcaodxq1nP/zwA84//3z8ZfpytM3oFtCyjm79FFuXzcaQ+1/COT3yNF+OXpd1quQgPn/qduzYsQP9+/cPqEzhwlDTmJvNZmRnZwMABgwYgG3btuHFF1/EK6+8Iun7F154Id544w3Rz8TExCAmJiagcobKM4SCwbavKmrF74bz9xklyXHO+75jUiz+nNnW6UKSt9/G13NTquqb0LVdAhaMzXO7OKX339vXHZQLxubpfhtcKRG7WmLekEfJOtw5xeIxjheKxLZav5drzgKAI+W1ot/xlB+N9NwntWJXT3nO1+9hjopAWXUD6ppaNIn95DgzjpTXYsKbP3j9jNQ6o4dc5i2mmVOVo5c2V436ZsvDhSWn7RezPWlsbrX/X2p8eKubAOzPAWwbb8aja/ZiU5H2uUvvGOvyqR27emgDwpWcfe8tdrz1OeusLbhvZSHem5iPCJPJ/p2E2Cg8+N9d2HSoHF8cKHP6zrCcNMXylZH6tWpRK3bV3LeuffE6awsWflWEhV8VYVhOGp4Y1RtHymuRZLFKyhU1jU2YdHG2/aaK2OhI/FBy2n5DmhHrQTDaMbaV2gpmn1nvbbBr+Srr/TsP7JpbFn5VZH/P1vb4w1Os+FtGJdbNONWOXo51lVRSUoLycvcp/+U4cOCAQqUhUo+hLna7EgTB6U4bXwoLC9GpUycVS8SRGHI47qul4waIflapZ5R4upDkjdTnpshZpl6U11g9PlcNOHsytbzGarhtMjLmDfmUrsPe4tjTa8H+vfx5hhOf+6SvPOfr96isb7JfVNMq9pWoM3rKZUZsm0keteubr5iIifrjaVBycqpr3XTdjqXjBrhd6LZhH80dY10/9NQGhBt/9r2n2EmK9X5Sv87aggiTyWkE2+GymqD0tdivVY+a+9ZXX7zotxpZ/d9ky9kb0RwvbOVnp2L+2Dzct7LQsPUgGO0Y28rQp/c22FP53rrzAtHveItpNY/zXWPlcFmNX2VUYt1ESikpKUH37j1QX1+nyPKaGo312BAKL4a52P3II4/giiuuQHp6Oqqrq/H2229j/fr1WLduHQDg4YcfxvHjx/H6668DAF544QVkZmaiV69esFqteOONN7Bq1SqsWrVKtTLqaRSZ3rnuK9szcje7PAcF0OYZJZV1VkRFmDA0J81jJ8roz03h3fH6wbzhH63qsBa/l+0ZThtl5CJ/vhNq1B6pIueuebHfIz87FYXHztj/1ir2A60zzGUUTMGob1Lj1p+casshlfVWNDa3Ijc9BTt+Po06a4vTiHFP2EcjPWIboB0l973cvoDcvpa/ow7Zr1WPkvtW7qhNx/bOV32trLNixtq9bueLbH/PuLon6wGFLb23wd7Kt+VIBYZkp+IbmeeBfbU9p+usKCw5rcjodrY/FArKy8tRX1+HCwpmIqlTpt/LKd3zLfa+vxjNzc3KFY5IYYa52P3rr7/itttuQ2lpKZKTk9G3b1+sW7cOf/nLXwAApaWlKCkpsX/earXiwQcfxPHjx2GxWNCrVy989NFHuPLKK1Uro55Gkemd675a9k0x5v8+1YzjAYztGSXB3G+Oz36ZPzYPrYKgeZmUxrvj9YN5wz9a1WEtfq86awsmjMhGi0suGiqSi5LjzJg7pq/X5z6FQ51Sq474O3rK0++Rn52K2/OzcN/KQqfPaxH7gdYZ5jIKpmDUNylx609O9ZRDHEemOY4Y94R9NNIjtgHaUXLfy+0LyOlrBTLqkP1a9Si1b/0Ztena3onV1/Iaq9dZTzYXVeCxq3uyHlDY0nsb7K18tvPAJpPJrW0Qyz/BnDWN7Q+FkqROmQE9a7uq9KhyhSFSiWEudi9dulT0/RUrVjj9/dBDD+Ghhx5SsUTuOFpWOtd9ZXsOWMGQLBTkZyExNhqp8eagP6PE9Y5DxzIBQEbbOLRPjDF8h4Z3J+oH84Z/tKrDwf69KuuseOj3m29suaixuRUxUREoq25EnDnS63fD/blPatSRQO6ad/09zFER+HjvSdy3shB11ha3z2sR+4HUGeYyCqZg1TfXmIiPiYI5MgKV9VZ8MGmI7JzqLYfYbmQqGJKlu9mOiKRgG6Adpfe9nL6A1L6WEqMOw71fq6ZA960/ozZdZzay8VZffdXzeg99aaJwofc22Fv5bOeB35uYjwiTSXL+CfasaWx/iIiMwzAXu42Ao2Wl87Sv6qwt9ucvfTlluNPzwILF9Y5DxzLZyhUKHRrenagfzBv+0aoOB/v3csxJjrnI5s+ZbUW3NZyf+6RGHQn0rnnH3+NwWY3H39RGq9j3t84wl1EwBbO+eY6JeL+WJZZDNhdVoCA/C/euLNTNbEdEUrEN0I4a+15qX0BqX0upUYfh3K9VWyD7Vu6oTW8zGwHe6ytzDJF3eo8PsfLVWVsQYTLJOv+rxaxpbH+IiIyBF7sVxNGy0ul1X+n9jkgl8e5EfdBrLBiBFnU42L9XOOUkNShdR5T8PUIt9kNte0jfjFrffOWQxuZW+yiXGVf3xKyRvVDb2Mw+GumeUWMyFGi976X0tdifDW1yRm3Gx0Rh+8+nPc5sJFZfta7nRHqm9/hQo3xGmDWNiIiCjxe7FcTRstLpdV/p/Y5IpfHuRO3pNRaMIth1ONi/V7jlJDUoWUeU/D1CLfZDbXtI34xa33zlENvzSwd0aYOL/tQOnfx8viBRsBk1JkOBHva9r74W+7OhTe6ozfiYKHzSpY2s+qqHek6kV3qPD7XKZ4RZ04iIlHDgwAFFlpOWloaMjAxFlqVXvNitMI6WlU6P+0rvd0RSaNJjLJB3wfy9mJP0RenfI9RiP9S2h/TNiPVNLIcMzUlDRts4fDlluO63g8gTI8ZkqND7vmd/NrTJ/X39ra96r+dEWtJ7fKhdPrYzRBSK6isrAJhw6623KrI8iyUOP/54IKQvePNitwo4WlY6ve0rvd8RSaFLb7FA4oL1ezEn6Ysav0eoxX6obQ/pm9Hqm68cwpHcZHRGi8lQoud9z/5saPPn9/W3vuq5nhNpTe/xoWb52M4QUShqqqsGIKDfzVPRLqt7QMuqKj2Krctmo7y8nBe7icKJ3u+IJKLwwpykL/w9iCgQzCFEFI6Y+0Ibf18i0hrzEBGFqoT2GWib0U3rYhgCL3YTeaD3OyKJKLwwJ+kLfw8iCgRzCBGFI+a+0Mbfl4i0xjxERBTeIrQuABERERERERERERERERERkVy82E1ERERERERERERERERERIbDaczJcCrrrCivsaKqoQlJlmikxXOaGiJSD3MOScF6QkRGxzxGFFoY00TOGBNExsTYJSIiKXixmwzlxJl6TF21G5sOldtfG5aThrlj+qJzikXDkhFRKGLOISlYT4jI6JjHiEILY5rIGWOCyJgYu0REJBWnMSfDqKyzunVwAGDjoXJMW7UblXVWjUpGRKGIOYekYD0hIqNjHiMKLYxpImeMCSJjYuwSEZEcvNhNhlFeY3Xr4NhsPFSO8hp2cohIOcw5JAXrCREZHfMYUWhhTBM5Y0wQGRNjl4iI5ODFbjKMqoYm0ferfbxPRCQHcw5JwXpCREbHPEYUWhjTRM4YE0TGxNglIiI5+MxuMoyk2GjR9xN9vG8ElXVWlNdYUdXQhCRLNNLizUiOM2tdLKKwFKo5h3lGWaFaT4KBdZHoLK1jgXmMKLQwpt1pnWdJW3qNCdZLInF6jV0tMF8QEfnGi91kGGkJZgzLScNGD1PYDMtJQ1qCsRv5E2fq3Z5FMywnDXPH9EXnFIuGJSMKT6GYc5hnlBeK9SQYWBeJztJDLDCPEYUWxrQzPeRZ0pYeY4L1ksg3PcauFpgviIik4TTmZBjJcWbMHdMXw3LSnF4flpOGZ8b0NfQdbZV1VreOC3D2GTTTVu1GZR2fQ0MUbKGWc5hn1BFq9SQYWBeJztJLLDCPEYUWxvQf9JJnSVt6iwnWSyJp9Ba7WmC+ICKSjiO7yVA6p1iwYGweymusqG5oQmJsNNISjD91S3mN1a3jYrPxUDnKa6yG30YiIwqlnMM8o55QqifBwLpIdJaeYoF5jCi0MKbP0lOeJW3pKSZYL4mk01PsaoH5gohIOl7sJsNJjgu9Tk1VQ5Po+9U+3ici9YRKzmGeUVeo1JNgYF0kOktvscA8RhRaGNP6y7OkLb3EBOslkTx6iV0tMF8QEUlnmGnMFy1ahL59+yIpKQlJSUkYNGgQPvnkE9HvbNiwAeeffz5iY2PRtWtXvPzyy0EqLZE8SbHRou8n+nifiMgX5hnSC9ZForMYC0RE6mKeJT1ivSQiqZgviIikM8zI7nPPPRdz585FdnY2AOC1117DqFGjUFhYiF69erl9vri4GFdeeSXuuusuvPHGG9i8eTMmTJiAdu3aYcyYMcEuPpGotAQzhuWkYaOHqWmG5aQhLSE872AkIuUwz5BesC4SncVYICJSF/Ms6RHrJRFJxXxBREo6cOBAwMtIS0tDRkaGAqVRnmEudo8cOdLp76eeegqLFi3Cd9995/Fi98svv4yMjAy88MILAIAePXpg+/btmDdvHi92k+4kx5kxd0xfTFu126kDMywnDc+M6Ru20/UQkXKYZ0gvWBeJzmIsEBGpi3mW9Ij1koikYr4gIiXUV1YAMOHWW28NeFkWSxx+/PGALi94G+Zit6OWlhb897//RW1tLQYNGuTxM99++y0uu+wyp9cuv/xyLF26FE1NTYiO5jQfpC+dUyxYMDYP5TVWVDc0ITE2GmkJ4ftcGiJSHvMM6QXrItFZjAUiInUxz5IesV4SkVTMF0QUqKa6agAC+t08Fe2yuvu9nKrSo9i6bDbKy8t5sTtQe/bswaBBg9DQ0ICEhASsWbMGPXv29PjZkydPokOHDk6vdejQAc3NzSgvL0enTp08fq+xsRGNjY32v6uqqpTbAAorlXVWlNdYUdXQhCRLNNLifXdEkuPYWfEXY5fInbc8pKc8w9j1jz9tjN7orS6SdOESt8GKM8YCBUu4xC6FD6l52uh5Vo+xGwp9Ua0ZvV6Sb3qMXfJM7zmN+SJ4GLcUyhLaZ6BtRjeti6EaQ13s7tatG3bu3IkzZ85g1apVGDduHDZs2OD1grfJZHL6WxAEj687mjNnDmbPnq1coSksnThTj6mrdmOTyxQzc8f0RecUi4YlC12MXSJnRslDjF35jPLbUugKh7hlnFEoCofYpfARTnlab7EbTvueKBB6i13yjDmNHDFuiYwrQusCyGE2m5GdnY0BAwZgzpw5yM3NxYsvvujxsx07dsTJkyedXisrK0NUVBRSU1O9ruPhhx9GZWWl/d+xY8cU3QYKfZV1VrdOEgBsPFSOaat2o7LOqlHJQhtjl+gPRspDjF15jPTbUugK9bhlnFGoCvXYpfARbnlaT7EbbvueKBB6il3yjDmNXDFuiYzLUCO7XQmC4DSthKNBgwbhgw8+cHrts88+w4ABA0Sf1x0TE4OYmBhFy0na0GoKmvIaq1snyWbjoXKU11g59YwKGLtEfyivsWLHz6cx6eJs5KWnoLG5FbHRkfih5DSWfVOsqzykVuzqfRoyf7GNIT0ItTbXNV9EmUzY8fNpj59lnJGRhVrskrEF0lcLt/6QP7GrVl843PY9USDY7gaXP3mPOY1cMW6JjMswF7sfeeQRXHHFFUhPT0d1dTXefvttrF+/HuvWrQNw9q6b48eP4/XXXwcA3H333Vi4cCGmTJmCu+66C99++y2WLl2KlStXarkZFCRaTkFT1dAk+n61j/eJiAJV09iE+WPzsHxzMRZ+VWR/PT87FfPH5qG2MbTzUChPQ8Y2hkhZnvLF0Jw0zB+bh/tWFqLO2uL2HcYZEVFgAu2rsT8kTs2+MPc9EemRv3mPOY2IKHQYZhrzX3/9Fbfddhu6deuGSy65BFu3bsW6devwl7/8BQBQWlqKkpIS++ezsrLw8ccfY/369ejXrx+eeOIJzJ8/H2PGjNFqEyhItJ6CJinW+8wBAJDo430iokClWMxYvrkYm4sqnF7fXFSB5ZuLkWwJ3TuTtW4D1MY2hkg53vLFpkPlWL65GAVDsjx+j3FGROQ/Jfpq7A95p3ZfmPueiPQmkLzHnEZEFDoMM7J76dKlou+vWLHC7bXhw4fjhx9+UKlEpFdaT0GTlmDGsJw0bPRQhmE5aUhLCN2LTESkD9aWVrcL3TabiypgbWkNcomCR+s2QG1sY4iUI5YvNhdVoCDf/WI344yIKDBK9NXYH/JO7b4w9z0R6U0geY85jYgodBhmZDeRVFpPQZMcZ8bcMX0xLCfN6fVhOWl4ZkxfQ19kISJjqGlsFn2/1sf7RqZ1G6A2tjFEyvGVL1wxzoiIAqdEX439Ie/U7gtz3xOR3gSS95jTiIhCh2FGdhNJpYcpaDqnWLBgbB7Ka6yobmhCYmw00hLM7CQRUVDoIQ9qJRy2nW0MkTJ85YuMtnH4cspwxhkRkYKU6quxP+RZMPrC3PdEpCeB5j3mNCKi0MCL3RRy9DIFTXIcO0ZEpA295EEthMu2s40hCpyvfNE+MYZxRkSkMCX7auwPuQtWX5j7noj0Qom8x5xGSigpKUF5uecp9eVKS0tDRkaGIssiChe82E0hxzYFzbRVu506OpyChojCRTjnwXDediKSh/mCiCj4mHvVxf1LROGGeY/0oKSkBN2790B9fZ0iy7NY4vDjjwd4wZtIBl7sppDEKWiIKNyFcx4M520nInmYL4iIgo+5V13cv0QUbpj3SGvl5eWor6/DBQUzkdQpM6BlVZUexdZls1FeXs6L3UQy8GI3hSxOQUNE4S6c82A4bzsRycN8QUQUfMy96uL+JaJww7xHepDUKRNtM7ppXQyisBShdQGIiIiIiIiIiIiIiIiIiIjk4shuIgq6yjorymusqGpoQpIlGmnxvPuSKFCMKyJ5GDNE2mDsEZGRMYcRhR7GNZExMXaJyBEvdhNRUJ04U4+pq3Zj06Fy+2vDctIwd0xfdE6xaFgyIuNiXBHJw5gh0gZjj4iMjDmMKPQwromMKRxi98CBA7pYBpFR8GI3EQVNZZ3VrSMCABsPlWPaqt1YMDaPd+ARycS4IpKHMUOkDcYeERkZcxhR6GFcExlTqMdufWUFABNuvfVWxZbZ1GhVbFlEesWL3UQUNOU1VreOiM3GQ+Uor7EaujNCpAXGFZE8jBkibTD2iMjImMOIQg/jmsiYQj12m+qqAQjod/NUtMvqHtCySvd8i73vL0Zzc7MyhSPSMV7sJqKgqWpoEn2/2sf7ROSOcUUkD2OGSBuMPSIyMuYwotDDuCYypnCJ3YT2GWib0S2gZVSVHlWmMEQGEKF1AYgofCTFRou+n+jjfSJyx7gikocxQ6QNxh4RGRlzGFHoYVwTGRNjl4g84cVuIgqatAQzhuWkeXxvWE4a0hKMO8UMkVYYV0TyMGaItMHYIyIjYw4jCj2MayJjYuwSkSecxpyIgiY5zoy5Y/pi2qrd2OjwbJVhOWl4ZkxfQz9PhUgrjCsieRgzRNpg7BGRkTGHEYUexjWRMTF2ibR14MABRZaTlpaGjIwMRZYF8GI3EQVZ5xQLFozNQ3mNFdUNTUiMjUZagpkdEaIAMK6I5GHMEGmDsUdERsYcRhR6GNdExsTYJQq++soKACbceuutiizPYonDjz8eUOyCNy92E1HQJcex80GkNMYVkTyMGSJtMPaIyMiYw4hCD+OayJgYu0TB1VRXDUBAv5unol1W94CWVVV6FFuXzUZ5eTkvdhMRERERERERERERERERkfoS2megbUY3rYvhJkLrAhAREREREREREREREREREcnFi91ERERERERERERERERERGQ4vNhNRERERERERERERERERESGw2d2+yAIAgCgqqpK45IQhbfExESYTCbJn2fsEukDY5fIeBi3RMbE2CUyJsYukTExdomMR624rampAQBU/nIErc0t/hcQQE3Z8bPrPHkUMTExulgWyxT8ZYV6mapP/nx2mTU1ktpFKbFrEmwRSx798ssvSE9P17oYRGGvsrISSUlJkj/P2CXSB8YukfEwbomMibFLZEyMXSJjYuwSGQ/jlsiYpMQuL3b70NraihMnTsi+68cIqqqqkJ6ejmPHjslK8kbD7QwNcmNQrdgNpf3MbdGnUNoWQD+xq5RQ+33Uwv0kjV73k5pxq9dtloJl1wbLLp1SsWvkfS6G22Us4bRdRugvG/33MHr5AeNvQyiWXw+xa/T9ahTcz8ERjP2sh7gVE651LRy3m9ssb5ulxCCnMfchIiIC5557rtbFUFVSUlJYBBS3M7yoHbuhtJ+5LfoUStsih1Ha3XD9feTifpLG6PvJn7g18jaz7Npg2ZXnK3b1Wu5AcbuMhdvlTsv+stF/D6OXHzD+NoRz+dWMXaPvV6Pgfg4OPe1nrdpcPe2DYArH7eY2KydC8SUSERERERERERERERERERGpjBe7iYiIiIiIiIiIiIiIiIjIcHixO4zFxMRg5syZiImJ0booquJ2kpJCaT9zW/QplLYlFPH3kYb7SZpw3E9G3maWXRsse/AZtdy+cLuMhdulL0Ytt43Ryw8YfxtYfnXotVyhhvs5OLifw3cfhON2c5uVZxIEQVBlyURERERERERERERERERERCrhyG4iIiIiIiIiIiIiIiIiIjIcXuwmIiIiIiIiIiIiIiIiIiLD4cVuIiIiIiIiIiIiIiIiIiIyHF7sJgDAU089hcGDByMuLg4pKSlaF0dR//rXv5CVlYXY2Ficf/752LRpk9ZFUtzGjRsxcuRIdO7cGSaTCWvXrtW6SGHh6NGjuOOOO5CVlQWLxYLzzjsPM2fOhNVq1bpofjFyHgiVOGcsG0uo5QAlhUpMqmXOnDkYOHAgEhMT0b59e1x77bU4ePCg1sUKKqPHj5HaTKPGo1HbxFCKb6PHqRgjxbAvRo1xb4wa+74wN+iL0XKAkePcyDFttLgNhdjUKyPHoBEYLdbUsGjRIvTt2xdJSUlISkrCoEGD8Mknn2hdrKCaM2cOTCYT7r//fq2LoppZs2bBZDI5/evYsaPWxVLd8ePHceuttyI1NRVxcXHo168fduzYofh6eLGbAABWqxXXX3897rnnHq2Loqh33nkH999/P6ZPn47CwkIMHToUV1xxBUpKSrQumqJqa2uRm5uLhQsXal2UsPLjjz+itbUVr7zyCvbt24fnn38eL7/8Mh555BGti+YXo+aBUIpzxrKxhFoOUEooxaRaNmzYgIkTJ+K7777D559/jubmZlx22WWora3VumhBY/T4MUqbaeR4NGqbGErxbfQ4FWOUGPbFyDHujVFj3xfmBn0xUg4wepwbOaaNFrehEJt6ZPQYNAKjxZoazj33XMydOxfbt2/H9u3bcfHFF2PUqFHYt2+f1kULim3btmHx4sXo27ev1kVRXa9evVBaWmr/t2fPHq2LpKrTp08jPz8f0dHR+OSTT7B//34899xz6txsKBA5WL58uZCcnKx1MRTz5z//Wbj77rudXuvevbswbdo0jUqkPgDCmjVrtC5G2Hr22WeFrKwsrYsREKPlgVCNc8ayMYVCDghUqMakmsrKygQAwoYNG7QuiqaMGD96bzNDJR6N3CaGWnwbMU7F6D2GfQmVGPfGyLHvC3ODPhghB4RSnBs9po0Yt0aNTT0JpRg0CiPGmhratGkjvPrqq1oXQ3XV1dVCTk6O8PnnnwvDhw8XJk+erHWRVDNz5kwhNzdX62IE1dSpU4UhQ4YEZV0c2U0hy2q1YseOHbjsssucXr/sssuwZcsWjUpFoa6yshJt27bVuhhhg3FOehPuOYAx6Z/KykoACOu6AzB+lMZ41IdQi2/GqX4wxo2NuYGkYJzrixHjlrEZGMagNowYa0pqaWnB22+/jdraWgwaNEjr4qhu4sSJuOqqq3DppZdqXZSgOHToEDp37oysrCzcdNNNOHLkiNZFUtX777+PAQMG4Prrr0f79u2Rl5eHJUuWqLIuXuymkFVeXo6WlhZ06NDB6fUOHTrg5MmTGpWKQtnhw4exYMEC3H333VoXJWwwzklPmAMYk/4QBAFTpkzBkCFD0Lt3b62LoxnGj/IYj9oLtfhmnOoLY9y4mBtIKsa5fhgxbhmbgWMMBp8RY00pe/bsQUJCAmJiYnD33XdjzZo16Nmzp9bFUtXbb7+NH374AXPmzNG6KEFxwQUX4PXXX8enn36KJUuW4OTJkxg8eDAqKiq0Lppqjhw5gkWLFiEnJweffvop7r77btx33314/fXXFV8XL3aHME8PvHf9t337dq2LqTqTyeT0tyAIbq8ROfIndk6cOIG//vWvuP7663HnnXdqVHJ34ZIHGOekpFDKAVphTEo3adIk7N69GytXrtS6KIowcvyEapvJeNSOXuPbyHEqJlRj2BfGuPEwN6gjlHMA41x7Wsat0WMzFDAGg0evbWQwdOvWDTt37sR3332He+65B+PGjcP+/fu1LpZqjh07hsmTJ+ONN95AbGys1sUJiiuuuAJjxoxBnz59cOmll+Kjjz4CALz22msal0w9ra2t6N+/P55++mnk5eXhf//3f3HXXXdh0aJFiq8rSvElkm5MmjQJN910k+hnMjMzg1MYDaSlpSEyMtLtTruysjK3O/KIHMmNnRMnTmDEiBEYNGgQFi9erHLp5An1PMA4JzWEUg4INsakPPfeey/ef/99bNy4Eeeee67WxVGEkeMn1NpMxqO29BzfRo5TMaEWw74wxo2JuUE9oZgDGOf6oHXcGj02jYwxGFxax5rWzGYzsrOzAQADBgzAtm3b8OKLL+KVV17RuGTq2LFjB8rKynD++efbX2tpacHGjRuxcOFCNDY2IjIyUsMSqi8+Ph59+vTBoUOHtC6Kajp16uQ2Q0GPHj2watUqxdfFi90hLC0tDWlpaVoXQzNmsxnnn38+Pv/8c1x33XX21z///HOMGjVKw5KR3smJnePHj2PEiBE4//zzsXz5ckRE6GvCjFDPA4xzUkMo5YBgY0xKIwgC7r33XqxZswbr169HVlaW1kVSjJHjJ9TaTMajNowQ30aOUzGhFsO+MMaNhblBfaGYAxjn2tJL3Bo9No2MMRgceok1vREEAY2NjVoXQzWXXHIJ9uzZ4/Ta7bffju7du2Pq1Kkhf6EbABobG3HgwAEMHTpU66KoJj8/HwcPHnR67aeffkKXLl0UXxcvdhMAoKSkBKdOnUJJSQlaWlqwc+dOAEB2djYSEhK0LVwApkyZgttuuw0DBgyw39FYUlIScs+rqampQVFRkf3v4uJi7Ny5E23btkVGRoaGJQttJ06cwEUXXYSMjAzMmzcPv/32m/29jh07algy/xg1D4RSnDOWjSXUcoBSQikm1TJx4kS89dZbeO+995CYmGgfKZCcnAyLxaJx6YLD6PFjlDbTyPFo1DYxlOLb6HEqxigx7IuRY9wbo8a+L8wN+mKkHGD0ODdyTBstbkMhNvXI6DFoBEaLNTU88sgjuOKKK5Ceno7q6mq8/fbbWL9+PdatW6d10VSTmJjo9lz2+Ph4pKamhuzz2h988EGMHDkSGRkZKCsrw5NPPomqqiqMGzdO66Kp5oEHHsDgwYPx9NNP44YbbsD333+PxYsXqzPziEAkCMK4ceMEAG7/vv76a62LFrCXXnpJ6NKli2A2m4X+/fsLGzZs0LpIivv66689/n7jxo3Tumghbfny5R73u1FTq5HzQKjEOWPZWEItBygpVGJSLd7qzfLly7UuWtAYPX6M1GYaNR6N2iaGUnwbPU7FGCmGfTFqjHtj1Nj3hblBX4yWA4wc50aOaaPFbSjEpl4ZOQaNwGixpoaCggJ7HWvXrp1wySWXCJ999pnWxQq64cOHC5MnT9a6GKq58cYbhU6dOgnR0dFC586dhdGjRwv79u3Tuliq++CDD4TevXsLMTExQvfu3YXFixersh6TIAgCiIiIiIiIiIiIiIiIiIiIDIQP7iAiIiIiIiIiIiIiIiIiIsPhxW4iIiIiIiIiIiIiIiIiIjIcXuwmIiIiIiIiIiIiIiIiIiLD4cVuIiIiIiIiIiIiIiIiIiIyHF7sJiIiIiIiIiIiIiIiIiIiw+HFbiIiIiIiIiIiIiIiIiIiMhxe7CYiIiIiIiIiIiIiIiIiIsPhxW4iIiIiIiIiIiIiIiIiIjIcXuwmIiIiIiIiorBx0UUX4f7771d1HZmZmXjhhRdEPzNr1iz069fP73UosR1Hjx6FyWTCzp07A1oOEQXOZDJh7dq1AS1jxYoVSElJUaQ8RHIFo32Vav369TCZTDhz5ozXz7jGi2u7PH78eFx77bWqlRFg3BO5CkbcaS0ctlELvNhNIWvy5Mk4//zzERMTE9AJBCIKnl27dmHs2LFIT0+HxWJBjx498OKLL2pdLCISUVFRgb/+9a/o3LkzYmJikJ6ejkmTJqGqqkrrohGRRBUVFTj33HN9nhAkIv8pcTLb1erVq/HEE08oukwi0k5paSmuuOIKrYtBFDZuvPFG/PTTT17ff/HFF7FixQr732pczGfckxH4U/f1dPOLmnjjqH5EaV0AIrUIgoCCggJs3boVu3fv1ro4RCTBjh070K5dO7zxxhtIT0/Hli1b8Pe//x2RkZGYNGmS1sUjIg8iIiIwatQoPPnkk2jXrh2KioowceJEnDp1Cm+99ZbWxSMiCe644w707dsXx48f17ooRCRD27ZttS4CESmoY8eOWheBSPesVivMZrMiy7JYLLBYLF7fT05OVmQ9Yhj3RETK4Mhu0q2LLroIkyZNwqRJk5CSkoLU1FQ8+uijEAQBANDY2IiHHnoI6enpiImJQU5ODpYuXWr//vz58zFx4kR07drVr3WbTCa3f0ePHlVq84hCViCxW1BQgPnz52P48OHo2rUrbr31Vtx+++1YvXq15HUzdonkCyRu27Rpg3vuuQcDBgxAly5dcMkll2DChAnYtGmT5HUzbon8E2h/GQAWLVqEM2fO4MEHH5S9bsYuGVlrayseeughtG3bFh07dsSsWbPs71VWVuLvf/872rdvj6SkJFx88cXYtWuX/f3Dhw9j1KhR6NChAxISEjBw4EB88cUXXteVmZkJALjuuutgMpnsf9v8+9//RmZmJpKTk3HTTTehurpa0ja4jpjJzMzE008/jYKCAiQmJiIjIwOLFy92+s7333+PvLw8xMbGYsCAASgsLHRb7v79+3HllVciISEBHTp0wG233Yby8nIAZ6eFNZvNTu38c889h7S0NJSWloqW1zbyxfXfRRddJGl7KXy8++676NOnDywWC1JTU3HppZeitrYWra2tePzxx3HuuefaZ/Fbt26d03d/+eUX3HTTTWjbti3i4+MxYMAAbN26VdJ6P/jgA5x//vmIjY1F165dMXv2bDQ3N9vfN5lMePXVV3HdddchLi4OOTk5eP/99wGczSnnnnsuXn75Zadl/vDDDzCZTDhy5IjP9TvOAGGLl9WrV2PEiBGIi4tDbm4uvv32W6fvrFixAhkZGYiLi8N1112HiooKWdv1+OOPo3Pnzk7fu+aaazBs2DC0traKlnfFihUeY9oxn5JxvPLKKzjnnHPcfvdrrrkG48aN8zjt7v333y+aw6W0S8ePH8eNN96INm3aIDU1FaNGjXLqT9rWO2fOHHTu3Bl/+tOfAABvvPEGBgwYgMTERHTs2BE333wzysrK3MqwefNm5ObmIjY2FhdccAH27Nljf8/X9N+O2zx+/Hhs2LABL774or2uFxcXIzs7G/PmzXP63t69exEREYHDhw97XbYN4570zlPdP3r0KDZs2IA///nPiImJQadOnTBt2jR7HfP2nZaWFtxxxx3IysqCxWJBt27dAprRs7W1Fc888wyys7MRExODjIwMPPXUU/b39+zZg4svvtjen/j73/+Ompoa+/ueRp9fe+21GD9+vP1vX3ksKysLAJCXl+d3v/aiiy7Cfffd5/XYhKThxW7Stddeew1RUVHYunUr5s+fj+effx6vvvoqAOBvf/sb3n77bcyfPx8HDhzAyy+/jISEBEXWu3r1apSWltr/jR49Gt26dUOHDh0UWT5RqFMydisrKyWPWmHsEvlPqbg9ceIEVq9ejeHDh0taL+OWKDCBxO7+/fvx+OOP4/XXX0dEhLxDQ8YuGd1rr72G+Ph4bN26Fc8++ywef/xxfP755xAEAVdddRVOnjyJjz/+GDt27ED//v1xySWX4NSpUwCAmpoaXHnllfjiiy9QWFiIyy+/HCNHjkRJSYnHdW3btg0AsHz5cpSWltr/Bs5eOF+7di0+/PBDfPjhh9iwYQPmzp3r93Y999xz9ovYEyZMwD333IMff/wRAFBbW4urr74a3bp1w44dOzBr1iy3G11KS0sxfPhw9OvXD9u3b8e6devw66+/4oYbbgDwx0nB2267DZWVldi1axemT5+OJUuWoFOnTqJlS09Pd8obhYWFSE1NxbBhw/zeXgo9paWlGDt2LAoKCnDgwAGsX78eo0ePhiAIePHFF/Hcc89h3rx52L17Ny6//HJcc801OHToEICzsTl8+HCcOHEC77//Pnbt2oWHHnrI58UbAPj0009x66234r777sP+/fvxyiuvYMWKFU4nzQFg9uzZuOGGG7B7925ceeWVuOWWW3Dq1ClERETgpptuwptvvun0+bfeeguDBg3yayAGAEyfPh0PPvggdu7ciT/96U8YO3as/WLC1q1bUVBQgAkTJmDnzp0YMWIEnnzySVnbNX36dGRmZuLOO+8EALz88svYuHEj/v3vf/vsG9x4441OMb1y5UpERUUhPz/fr20lbV1//fUoLy/H119/bX/t9OnT+PTTT3HLLbf4vVyxdqmurg4jRoxAQkICNm7ciG+++QYJCQn461//CqvVal/Gl19+iQMHDuDzzz/Hhx9+CODsCO8nnngCu3btwtq1a1FcXOx0gcrmH//4B+bNm4dt27ahffv2uOaaa9DU1CR7O1588UUMGjQId911l73OZ2RkoKCgAMuXL3f67LJlyzB06FCcd955stcDMO5JXzzV/ejoaFx55ZUYOHAgdu3ahUWLFmHp0qX2uujpO+np6fYbw/7zn/9g//79eOyxx/DII4/gP//5j19le/jhh/HMM89gxowZ2L9/P9566y378WhdXR3++te/ok2bNti2bRv++9//4osvvvBr5lCxPPb9998DAL744guUlpZKHrDlytuxCckgEOnU8OHDhR49egitra3216ZOnSr06NFDOHjwoABA+Pzzz30uZ+bMmUJubq7f5fi///s/ISUlRTh48KDfyyAKJ0rFriAIwpYtW4To6Gjhs88+k10Oxi6RdErE7U033SRYLBYBgDBy5Eihvr5edjkYt0TyBBK7DQ0NQt++fYV///vfgiAIwtdffy0AEE6fPi27HIxdMprhw4cLQ4YMcXpt4MCBwtSpU4Uvv/xSSEpKEhoaGpzeP++884RXXnnF6zJ79uwpLFiwwP53ly5dhOeff97+NwBhzZo1Tt+ZOXOmEBcXJ1RVVdlf+8c//iFccMEFkrdj8uTJTuu89dZb7X+3trYK7du3FxYtWiQIgiC88sorQtu2bYXa2lr7ZxYtWiQAEAoLCwVBEIQZM2YIl112mdN6jh07JgCwx3hjY6OQl5cn3HDDDUKvXr2EO++8U1J5HdXX1wsXXHCBcPXVVwstLS2yv0+ha8eOHQIA4ejRo27vde7cWXjqqaecXhs4cKAwYcIEQRDO1vHExEShoqJC9nqHDh0qPP30006v/fvf/xY6depk/xuA8Oijj9r/rqmpEUwmk/DJJ58IgiAIP/zwg2Aymexlb2lpEc455xzhpZdeklQGxzxRXFwsABBeffVV+/v79u0TAAgHDhwQBEEQxo4dK/z1r391WsaNN94oJCcny9quw4cPC4mJicLUqVOFuLg44Y033pBUXkdFRUVCamqq8Oyzz8r+LunHNddcIxQUFNj/fuWVV4SOHTsKzc3Nwrhx44RRo0Y5fX7y5MnC8OHD7X/LbZeWLl0qdOvWzakv29jYKFgsFuHTTz8VBEEQxo0bJ3To0EFobGwULfv3338vABCqq6sFQfijb/v222/bP1NRUSFYLBbhnXfeEQRBEJYvX+4UL67nkF232XX7BEEQTpw4IURGRgpbt24VBEEQrFar0K5dO2HFihWi5bVh3JMRuNb9Rx55xC12X3rpJSEhIcHer/MUL55MmDBBGDNmjP1vT7nGk6qqKiEmJkZYsmSJx/cXL14stGnTRqipqbG/9tFHHwkRERHCyZMnvZZx1KhRwrhx4+x/+8pjtri19aWl8JRbvB2bkHQc2U26duGFF8JkMtn/HjRoEA4dOoTCwkJERkZKHjXmr08++QTTpk3DO++8Y58mh4h8UyJ29+3bh1GjRuGxxx7DX/7yF1nrZ+wSyRdo3D7//PP44YcfsHbtWhw+fBhTpkyRtX7GLZF//I3dhx9+GD169MCtt94a0PoZu2RUffv2dfq7U6dOKCsrw44dO1BTU4PU1FQkJCTY/xUXF9unI62trcVDDz2Enj17IiUlBQkJCfjxxx+9juwWk5mZicTERLdyKLFdJpMJHTt2tC/vwIEDyM3NRVxcnP0zgwYNcvr+jh078PXXXztte/fu3QHAvv1msxlvvPEGVq1ahfr6erzwwguyy3nHHXeguroab731luyZJSi05ebm4pJLLkGfPn1w/fXXY8mSJTh9+jSqqqpw4sQJt9GD+fn5OHDgAABg586dyMvL8+t59jt27MDjjz/uVPdtI9Lq6ursn3OMsfj4eCQmJtpjLC8vD927d8fKlSsBABs2bEBZWZl9ZgR/OK7PNnuCY0y7xrCnmPa1XV27dsW8efPwzDPPYOTIkbJH8VZWVuLqq6/GFVdcgX/84x+yt5H045ZbbsGqVavQ2NgIAHjzzTdx0003ITIy0u9lirVLO3bsQFFRERITE+31s23btmhoaHCaArxPnz5uz+kuLCzEqFGj0KVLFyQmJtqnDnZtix1jom3btujWrZs9ZyihU6dOuOqq3EPG1AAADhdJREFUq7Bs2TIAwIcffoiGhgZcf/31fi+TcU96Z6uHjseh+fn5qKmpwS+//CL63ZdffhkDBgxAu3btkJCQgCVLlvjVhz5w4AAaGxtxySWXeH0/NzcX8fHxTmVsbW3FwYMHZa1LLI8pxduxCUkXpXUBiPwRGxur+jr279+Pm266CXPnzsVll12m+vqIwoHU2N2/fz8uvvhi3HXXXXj00UdlrYOxS6QsqXHbsWNHdOzYEd27d0dqaiqGDh2KGTNm+JzSFGDcEqnBV+x+9dVX2LNnD959910AsD/nOy0tDdOnT8fs2bN9roOxS0YWHR3t9LfJZEJraytaW1vRqVMnrF+/3u07tud6/uMf/8Cnn36KefPmITs7GxaLBf/zP//jNOVqoOXwl9jybHEuprW1FSNHjsQzzzzj9p5jm75lyxYAwKlTp3Dq1CmnE4m+PPnkk1i3bh2+//57pwv9RAAQGRmJzz//HFu2bMFnn32GBQsWYPr06fapPB1PrANn67XtNYvF4vd6W1tbMXv2bIwePdrtPcc21VfM3nLLLXjrrbcwbdo0vPXWW7j88suRlpbmd7kc12fbTrkxLWW7Nm7ciMjISBw9ehTNzc2IipJ2yrilpQU33ngjkpKSsGTJEknfIf0aOXIkWltb8dFHH2HgwIHYtGkT/u///g8AEBER4VbnpEwHLhYzra2tOP/8892m/weAdu3a2f/v2sbU1tbisssuw2WXXYY33ngD7dq1Q0lJCS6//HJJbbFrHgnUnXfeidtuuw3PP/88li9fjhtvvNHpxjK5GPekd45tr+NrgHh8/ec//8EDDzyA5557DoMGDUJiYiL++c9/YuvWrbLL4KvN91RGG9vrUvOa0v11T4KxjlDH22dJ17777ju3v3NycpCbm4vW1lZs2LBBlfVWVFRg5MiRGD16NB544AFV1kEUygKJ3X379mHEiBEYN26c2/PRfGHsEvlPyTbXdrBgGxEghnFLFBh/Y3fVqlXYtWsXdu7ciZ07d9qf871p0yZMnDjR53oZuxSq+vfvj5MnTyIqKgrZ2dlO/2wXrDZt2oTx48fjuuuuQ58+fdCxY0ccPXpUdLnR0dFoaWkJwhZ417NnT+zatQv19fX211xzSP/+/bFv3z5kZma6bb/tYsPhw4fxwAMPYMmSJbjwwgvxt7/9TfLJuFWrVuHxxx/Hf/7zH7+fZUqhz2QyIT8/H7Nnz0ZhYSHMZjO+/PJLdO7cGd98843TZ7ds2YIePXoAODsqaufOnTh16pTsdfbv3x8HDx50q/fZ2dmyZh+4+eabsWfPHuzYsQPvvvtuQM869qVnz54e+wGOpGzXO++8g9WrV2P9+vU4duwYnnjiCclleOCBB7Bnzx6sWbMmKANTSF0WiwWjR4/Gm2++iZUrV+JPf/oTzj//fABnLz6XlpY6fX7nzp0Bra9///44dOgQ2rdv71Y/k5OTvX7vxx9/RHl5OebOnYuhQ4eie/fuXkdAOsbE6dOn8dNPP9lnLJHLbDZ7bMuvvPJKxMfHY9GiRfjkk09QUFDg1/KlYNyTFlzrfs+ePbFlyxanC8VbtmxBYmIizjnnHI/fAc72oQcPHowJEyYgLy8P2dnZTrM4yJGTkwOLxYIvv/zS4/s9e/bEzp07UVtba39t8+bNiIiIsM9I5prXWlpasHfvXlnlsM06oXU/n3ixm3Tu2LFjmDJlCg4ePIiVK1diwYIFmDx5MjIzMzFu3DgUFBRg7dq1KC4uxvr16/Gf//zH/t2ioiLs3LkTJ0+eRH19vf1EnpQ7/EaPHg2LxYJZs2bh5MmT9n9MWkTS+Bu7tgvdf/nLXzBlyhR77P3222+S1svYJfKfv3H78ccfY/ny5di7dy+OHj2Kjz/+GPfccw/y8/ORmZnpc72MW6LA+Bu75513Hnr37m3/l5WVBQDo0aMH2rdv73O9jF0KVZdeeikGDRqEa6+9Fp9++imOHj2KLVu24NFHH8X27dsBANnZ2Vi9ejV27tyJXbt24eabb/Z5sTczMxNffvklTp48idOnTwdjU9zcfPPNiIiIwB133IH9+/fj448/xrx585w+M3HiRJw6dQpjx47F999/jyNHjuCzzz5DQUEBWlpa0NLSgttuuw2XXXYZbr/9dnsf4LnnnvO5/r179+Jvf/sbpk6dil69etnzhj8XJil0bd26FU8//TS2b9+OkpISrF69Gr/99ht69OiBf/zjH3jmmWfwzjvv4ODBg5g2bRp27tyJyZMnAwDGjh2Ljh074tprr8XmzZtx5MgRrFq1Ct9++63P9T722GN4/fXXMWvWLOzbtw8HDhzAO++8I3umsaysLAwePBh33HEHmpubMWrUKL/2gxT33Xcf1q1bh2effRY//fQTFi5ciHXr1jl9xtd2/fLLL7jnnnvwzDPPYMiQIVixYgXmzJnjdvHMk+XLl+Nf//oXXn75ZURERNhjuqamRpXtpeC45ZZb8NFHH2HZsmVOj7u5+OKLsX37drz++us4dOgQZs6cKfuikKd1paWlYdSoUdi0aROKi4uxYcMGTJ48WXQq5IyMDJjNZixYsABHjhzB+++/7/Vi7eOPP44vv/wSe/fuxfjx45GWloZrr73Wr/JmZmZi69atOHr0KMrLy+1tf2RkJMaPH4+HH34Y2dnZbtOKK4lxT1pwrfsTJkzAsWPHcO+99+LHH3/Ee++9h5kzZ2LKlCn2Gyo8xUt2dja2b9+OTz/9FD/99BNmzJiBbdu2+VWm2NhYTJ06FQ899BBef/11HD58GN999x2WLl0K4Gx+iY2Nxbhx47B37158/fXXuPfee3HbbbehQ4cOAM7mtY8++ggfffQRfvzxR0yYMAFnzpyRVY727dvDYrFg3bp1+PXXX1FZWenX9pACtHlUOJFvw4cPFyZMmCDcfffdQlJSktCmTRth2rRpQmtrqyAIglBfXy888MADQqdOnQSz2SxkZ2cLy5Ytc/o+ALd/xcXFPtft6XtSv0sU7gKJ3ZkzZ3qMvS5dukhaN2OXyD+BxO1XX30lDBo0SEhOThZiY2OFnJwcYerUqcLp06clrZtxS+S/QPvLjr7++msBAGOXwsLw4cOFyZMnO702atQoYdy4cYIgCEJVVZVw7733Cp07dxaio6OF9PR04ZZbbhFKSkoEQRCE4uJiYcSIEYLFYhHS09OFhQsXui2zS5cuwvPPP2//+/333xeys7OFqKgoe9925syZQm5urlM5nn/+ecl9X1/rFARByM3NFWbOnGn/+9tvvxVyc3MFs9ks9OvXT1i1apUAQCgsLLR/5qeffhKuu+46ISUlRbBYLEL37t2F+++/X2htbRVmz54tdOrUSSgvL7d/fu3atYLZbHZahifLly/3mDeGDx8uaXspPOzfv1+4/PLLhXbt2gkxMTHCn/70J2HBggWCIAhCS0uLMHv2bOGcc84RoqOjhdzcXOGTTz5x+v7Ro0eFMWPGCElJSUJcXJwwYMAAYevWrZLWvW7dOmHw4MGCxWIRkpKShD//+c/C4sWL7e8DENasWeP0neTkZGH58uVOr7300ksCAOFvf/ubrG13XH5xcbFbbJ4+fVoAIHz99df215YuXSqce+65gsViEUaOHCnMmzdPSE5OlrRdra2twiWXXCJcfvnl9r6DIAjCAw88IJx33nlCdXW1aHnHjRvnMaYdcw4ZT3Nzs9CpUycBgHD48GGn9x577DGhQ4cOQnJysvDAAw8IkyZNcsrh/rRLpaWlwt/+9jchLS1NiImJEbp27SrcddddQmVlpSAIZ+vZqFGj3Mr51ltvCZmZmUJMTIwwaNAg4f3333eKGVvf9oMPPhB69eolmM1mYeDAgcLOnTvty1i+fLlTvLi2y67rPnjwoHDhhRcKFovFrd97+PBhAYDw7LPPetyv3jDuyQg81f3169cLAwcOFMxms9CxY0dh6tSpQlNTk+h3GhoahPHjxwvJyclCSkqKcM899wjTpk0TjTsxLS0twpNPPil06dJFiI6OFjIyMoSnn37a/v7u3buFESNGCLGxsULbtm2Fu+66y6mOW61W4Z577hHatm0rtG/fXpgzZ47TMYEgSMtjS5YsEdLT04WIiAhJ/VrXbfR1bELSmARBwoMeiDRw0UUXoV+/fnjhhRe0LgoRycDYJTIexi2RMTF2iYiIiIi0t3nzZlx00UX45Zdf7KNGiYgoeKK0LgAREREREREREREREZGRNDY24tixY5gxYwZuuOEGXugmItIIn9lNYemKK65AQkKCx39PP/201sUjIi8Yu0TGw7glMibGLpG2SkpKvMZgQkICSkpKtC6iGyOWmcJHr169vNbNN998U/X1v/nmm17X36tXL9XX7w8jlpko2FauXIlu3bqhsrISzz77rNN7RowhI5aZQpOR+5Vi5d60aZPWxQtZnMacwtLx48dRX1/v8b22bduibdu2QS4REUnB2CUyHsYtkTExdom01dzcjKNHj3p9PzMzE1FR+pqsz4hlpvDx888/o6mpyeN7HTp0QGJioqrrr66uxq+//urxvejoaHTp0kXV9fvDiGUm0hMjxpARy0yhycj9yqKiIq/vnXPOObBYLEEsTfjgxW4iIiIiIiIiIiIiIiIiIjIcTmNORERERERERERERERERESGw4vdRERERERERERERERERERkOLzYTUREREREREREREREREREhsOL3UREREREREREREREREREZDi82E1ERERERERERERERERERIbDi91ERERERERERERERERERGQ4vNhNRERERERERERERERERESGw4vdRERERERERERERERERERkOP8fUkeCKjqY5okAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 2000x2000 with 72 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Basic correlogram\n",
    "\n",
    "sns.pairplot(df[[\"pc1_z\",\"pc2_z\",\"pc3_z\",\"pc4_z\",\"health_index_z\",\"soc_env_index_z\",\"vulnerability_index_z\",\"total_count_ln\"]],diag_kind='auto')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pc1_z</th>\n",
       "      <th>pc2_z</th>\n",
       "      <th>pc3_z</th>\n",
       "      <th>pc4_z</th>\n",
       "      <th>health_index_z</th>\n",
       "      <th>soc_env_index_z</th>\n",
       "      <th>vulnerability_index_z</th>\n",
       "      <th>total_count_ln</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>pc1_z</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.578901</td>\n",
       "      <td>-0.180978</td>\n",
       "      <td>0.522112</td>\n",
       "      <td>0.881061</td>\n",
       "      <td>0.275611</td>\n",
       "      <td>0.793086</td>\n",
       "      <td>0.087358</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pc2_z</th>\n",
       "      <td>0.578901</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.213886</td>\n",
       "      <td>0.039397</td>\n",
       "      <td>0.889945</td>\n",
       "      <td>-0.153440</td>\n",
       "      <td>0.510648</td>\n",
       "      <td>-0.336657</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pc3_z</th>\n",
       "      <td>-0.180978</td>\n",
       "      <td>-0.213886</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.184012</td>\n",
       "      <td>-0.230876</td>\n",
       "      <td>0.639636</td>\n",
       "      <td>0.253349</td>\n",
       "      <td>0.354040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pc4_z</th>\n",
       "      <td>0.522112</td>\n",
       "      <td>0.039397</td>\n",
       "      <td>-0.184012</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.307311</td>\n",
       "      <td>0.604490</td>\n",
       "      <td>0.618825</td>\n",
       "      <td>0.177615</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>health_index_z</th>\n",
       "      <td>0.881061</td>\n",
       "      <td>0.889945</td>\n",
       "      <td>-0.230876</td>\n",
       "      <td>0.307311</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.055679</td>\n",
       "      <td>0.732589</td>\n",
       "      <td>-0.158147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>soc_env_index_z</th>\n",
       "      <td>0.275611</td>\n",
       "      <td>-0.153440</td>\n",
       "      <td>0.639636</td>\n",
       "      <td>0.604490</td>\n",
       "      <td>0.055679</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.700406</td>\n",
       "      <td>0.426405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vulnerability_index_z</th>\n",
       "      <td>0.793086</td>\n",
       "      <td>0.510648</td>\n",
       "      <td>0.253349</td>\n",
       "      <td>0.618825</td>\n",
       "      <td>0.732589</td>\n",
       "      <td>0.700406</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.156671</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>total_count_ln</th>\n",
       "      <td>0.087358</td>\n",
       "      <td>-0.336657</td>\n",
       "      <td>0.354040</td>\n",
       "      <td>0.177615</td>\n",
       "      <td>-0.158147</td>\n",
       "      <td>0.426405</td>\n",
       "      <td>0.156671</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          pc1_z     pc2_z     pc3_z     pc4_z  health_index_z  \\\n",
       "pc1_z                  1.000000  0.578901 -0.180978  0.522112        0.881061   \n",
       "pc2_z                  0.578901  1.000000 -0.213886  0.039397        0.889945   \n",
       "pc3_z                 -0.180978 -0.213886  1.000000 -0.184012       -0.230876   \n",
       "pc4_z                  0.522112  0.039397 -0.184012  1.000000        0.307311   \n",
       "health_index_z         0.881061  0.889945 -0.230876  0.307311        1.000000   \n",
       "soc_env_index_z        0.275611 -0.153440  0.639636  0.604490        0.055679   \n",
       "vulnerability_index_z  0.793086  0.510648  0.253349  0.618825        0.732589   \n",
       "total_count_ln         0.087358 -0.336657  0.354040  0.177615       -0.158147   \n",
       "\n",
       "                       soc_env_index_z  vulnerability_index_z  total_count_ln  \n",
       "pc1_z                         0.275611               0.793086        0.087358  \n",
       "pc2_z                        -0.153440               0.510648       -0.336657  \n",
       "pc3_z                         0.639636               0.253349        0.354040  \n",
       "pc4_z                         0.604490               0.618825        0.177615  \n",
       "health_index_z                0.055679               0.732589       -0.158147  \n",
       "soc_env_index_z               1.000000               0.700406        0.426405  \n",
       "vulnerability_index_z         0.700406               1.000000        0.156671  \n",
       "total_count_ln                0.426405               0.156671        1.000000  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corr_matrix = df[[\"pc1_z\",\"pc2_z\",\"pc3_z\",\"pc4_z\",\"health_index_z\",\"soc_env_index_z\",\"vulnerability_index_z\",\"total_count_ln\"]].corr()\n",
    "corr_matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: geopandas in /opt/anaconda3/lib/python3.9/site-packages (0.12.2)\n",
      "Requirement already satisfied: fiona>=1.8 in /opt/anaconda3/lib/python3.9/site-packages (from geopandas) (1.8.22)\n",
      "Requirement already satisfied: pyproj>=2.6.1.post1 in /opt/anaconda3/lib/python3.9/site-packages (from geopandas) (3.4.1)\n",
      "Requirement already satisfied: shapely>=1.7 in /opt/anaconda3/lib/python3.9/site-packages (from geopandas) (2.0.0)\n",
      "Requirement already satisfied: packaging in /opt/anaconda3/lib/python3.9/site-packages (from geopandas) (21.3)\n",
      "Requirement already satisfied: pandas>=1.0.0 in /opt/anaconda3/lib/python3.9/site-packages (from geopandas) (1.4.4)\n",
      "Requirement already satisfied: click-plugins>=1.0 in /opt/anaconda3/lib/python3.9/site-packages (from fiona>=1.8->geopandas) (1.1.1)\n",
      "Requirement already satisfied: certifi in /opt/anaconda3/lib/python3.9/site-packages (from fiona>=1.8->geopandas) (2022.9.24)\n",
      "Requirement already satisfied: six>=1.7 in /opt/anaconda3/lib/python3.9/site-packages (from fiona>=1.8->geopandas) (1.16.0)\n",
      "Requirement already satisfied: cligj>=0.5 in /opt/anaconda3/lib/python3.9/site-packages (from fiona>=1.8->geopandas) (0.7.2)\n",
      "Requirement already satisfied: click>=4.0 in /opt/anaconda3/lib/python3.9/site-packages (from fiona>=1.8->geopandas) (8.0.4)\n",
      "Requirement already satisfied: munch in /opt/anaconda3/lib/python3.9/site-packages (from fiona>=1.8->geopandas) (2.5.0)\n",
      "Requirement already satisfied: setuptools in /opt/anaconda3/lib/python3.9/site-packages (from fiona>=1.8->geopandas) (65.5.0)\n",
      "Requirement already satisfied: attrs>=17 in /opt/anaconda3/lib/python3.9/site-packages (from fiona>=1.8->geopandas) (22.1.0)\n",
      "Requirement already satisfied: python-dateutil>=2.8.1 in /opt/anaconda3/lib/python3.9/site-packages (from pandas>=1.0.0->geopandas) (2.8.2)\n",
      "Requirement already satisfied: pytz>=2020.1 in /opt/anaconda3/lib/python3.9/site-packages (from pandas>=1.0.0->geopandas) (2022.1)\n",
      "Requirement already satisfied: numpy>=1.18.5 in /opt/anaconda3/lib/python3.9/site-packages (from pandas>=1.0.0->geopandas) (1.21.5)\n",
      "Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /opt/anaconda3/lib/python3.9/site-packages (from packaging->geopandas) (3.0.9)\n"
     ]
    }
   ],
   "source": [
    "!pip install geopandas   # If geopandas is not installed, this code should be activated.\n",
    "import geopandas as gpd # For working with geospatial data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "from shapely import wkt\n",
    "df['geometry'] = df['geometry'].apply(wkt.loads)\n",
    "\n",
    "geo_df = gpd.GeoDataFrame(\n",
    "    df, geometry=df[\"geometry\"], crs=\"EPSG:4326\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "#geo_df.to_file(\"index_gdf.shp\")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Negative Binomial Regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "import statsmodels.formula.api as smf \n",
    "import statsmodels.api as sm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "independent_variables = \"BPHIGH_CrudePrev+CHD_CrudePrev+COPD_CrudePrev+DIABETES_CrudePrev+PHLTH_CrudePrev+STROKE_CrudePrev+OBESITY_CrudePrev+pelderlyct+BPMED_CrudePrev+CANCER_CrudePrev+CHECKUP_CrudePrev+CSMOKING_CrudePrev+hunit+pnohvacbg+poldhubg+CASTHMA_CrudePrev+pblackct+pchildct\"\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Negative Binomial Model for Total_Count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>Generalized Linear Model Regression Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>      <td>total_count</td>   <th>  No. Observations:  </th>  <td>   139</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>                  <td>GLM</td>       <th>  Df Residuals:      </th>  <td>   120</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model Family:</th>    <td>NegativeBinomial</td> <th>  Df Model:          </th>  <td>    18</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Link Function:</th>          <td>Log</td>       <th>  Scale:             </th> <td>  1.0000</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Method:</th>                <td>IRLS</td>       <th>  Log-Likelihood:    </th> <td> -764.69</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>            <td>Wed, 31 May 2023</td> <th>  Deviance:          </th> <td>  15.814</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                <td>20:42:05</td>     <th>  Pearson chi2:      </th>  <td>  16.6</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>No. Iterations:</th>         <td>10</td>        <th>  Pseudo R-squ. (CS):</th>  <td>0.1988</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Covariance Type:</th>     <td>nonrobust</td>    <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "           <td></td>             <th>coef</th>     <th>std err</th>      <th>z</th>      <th>P>|z|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Intercept</th>          <td>    7.3979</td> <td>   14.573</td> <td>    0.508</td> <td> 0.612</td> <td>  -21.166</td> <td>   35.961</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>BPHIGH_CrudePrev</th>   <td>   -0.0198</td> <td>    0.171</td> <td>   -0.116</td> <td> 0.908</td> <td>   -0.355</td> <td>    0.316</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>CHD_CrudePrev</th>      <td>    0.9363</td> <td>    0.702</td> <td>    1.333</td> <td> 0.183</td> <td>   -0.440</td> <td>    2.313</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>COPD_CrudePrev</th>     <td>   -0.1496</td> <td>    0.664</td> <td>   -0.226</td> <td> 0.822</td> <td>   -1.450</td> <td>    1.151</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>DIABETES_CrudePrev</th> <td>    0.0288</td> <td>    0.396</td> <td>    0.073</td> <td> 0.942</td> <td>   -0.748</td> <td>    0.805</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>PHLTH_CrudePrev</th>    <td>   -0.2181</td> <td>    0.430</td> <td>   -0.507</td> <td> 0.612</td> <td>   -1.061</td> <td>    0.624</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>STROKE_CrudePrev</th>   <td>   -0.4211</td> <td>    1.186</td> <td>   -0.355</td> <td> 0.723</td> <td>   -2.746</td> <td>    1.903</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>OBESITY_CrudePrev</th>  <td>    0.0285</td> <td>    0.140</td> <td>    0.204</td> <td> 0.839</td> <td>   -0.245</td> <td>    0.302</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>pelderlyct</th>         <td>   -0.0064</td> <td>    0.041</td> <td>   -0.154</td> <td> 0.878</td> <td>   -0.087</td> <td>    0.075</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>BPMED_CrudePrev</th>    <td>   -0.0235</td> <td>    0.044</td> <td>   -0.538</td> <td> 0.591</td> <td>   -0.109</td> <td>    0.062</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>CANCER_CrudePrev</th>   <td>   -0.2985</td> <td>    0.491</td> <td>   -0.608</td> <td> 0.543</td> <td>   -1.261</td> <td>    0.664</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>CHECKUP_CrudePrev</th>  <td>    0.0241</td> <td>    0.251</td> <td>    0.096</td> <td> 0.923</td> <td>   -0.467</td> <td>    0.516</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>CSMOKING_CrudePrev</th> <td>    0.0527</td> <td>    0.222</td> <td>    0.237</td> <td> 0.812</td> <td>   -0.383</td> <td>    0.488</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>hunit</th>              <td>    0.0004</td> <td>    0.000</td> <td>    3.262</td> <td> 0.001</td> <td>    0.000</td> <td>    0.001</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>pnohvacbg</th>          <td>   -0.0242</td> <td>    0.129</td> <td>   -0.188</td> <td> 0.851</td> <td>   -0.276</td> <td>    0.228</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>poldhubg</th>           <td>    0.0030</td> <td>    0.005</td> <td>    0.597</td> <td> 0.551</td> <td>   -0.007</td> <td>    0.013</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>CASTHMA_CrudePrev</th>  <td>   -0.0850</td> <td>    0.537</td> <td>   -0.158</td> <td> 0.874</td> <td>   -1.137</td> <td>    0.967</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>pblackct</th>           <td>    0.0184</td> <td>    0.025</td> <td>    0.726</td> <td> 0.468</td> <td>   -0.031</td> <td>    0.068</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>pchildct</th>           <td>   -0.0084</td> <td>    0.022</td> <td>   -0.374</td> <td> 0.708</td> <td>   -0.052</td> <td>    0.035</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.summary.Summary'>\n",
       "\"\"\"\n",
       "                 Generalized Linear Model Regression Results                  \n",
       "==============================================================================\n",
       "Dep. Variable:            total_count   No. Observations:                  139\n",
       "Model:                            GLM   Df Residuals:                      120\n",
       "Model Family:        NegativeBinomial   Df Model:                           18\n",
       "Link Function:                    Log   Scale:                          1.0000\n",
       "Method:                          IRLS   Log-Likelihood:                -764.69\n",
       "Date:                Wed, 31 May 2023   Deviance:                       15.814\n",
       "Time:                        20:42:05   Pearson chi2:                     16.6\n",
       "No. Iterations:                    10   Pseudo R-squ. (CS):             0.1988\n",
       "Covariance Type:            nonrobust                                         \n",
       "======================================================================================\n",
       "                         coef    std err          z      P>|z|      [0.025      0.975]\n",
       "--------------------------------------------------------------------------------------\n",
       "Intercept              7.3979     14.573      0.508      0.612     -21.166      35.961\n",
       "BPHIGH_CrudePrev      -0.0198      0.171     -0.116      0.908      -0.355       0.316\n",
       "CHD_CrudePrev          0.9363      0.702      1.333      0.183      -0.440       2.313\n",
       "COPD_CrudePrev        -0.1496      0.664     -0.226      0.822      -1.450       1.151\n",
       "DIABETES_CrudePrev     0.0288      0.396      0.073      0.942      -0.748       0.805\n",
       "PHLTH_CrudePrev       -0.2181      0.430     -0.507      0.612      -1.061       0.624\n",
       "STROKE_CrudePrev      -0.4211      1.186     -0.355      0.723      -2.746       1.903\n",
       "OBESITY_CrudePrev      0.0285      0.140      0.204      0.839      -0.245       0.302\n",
       "pelderlyct            -0.0064      0.041     -0.154      0.878      -0.087       0.075\n",
       "BPMED_CrudePrev       -0.0235      0.044     -0.538      0.591      -0.109       0.062\n",
       "CANCER_CrudePrev      -0.2985      0.491     -0.608      0.543      -1.261       0.664\n",
       "CHECKUP_CrudePrev      0.0241      0.251      0.096      0.923      -0.467       0.516\n",
       "CSMOKING_CrudePrev     0.0527      0.222      0.237      0.812      -0.383       0.488\n",
       "hunit                  0.0004      0.000      3.262      0.001       0.000       0.001\n",
       "pnohvacbg             -0.0242      0.129     -0.188      0.851      -0.276       0.228\n",
       "poldhubg               0.0030      0.005      0.597      0.551      -0.007       0.013\n",
       "CASTHMA_CrudePrev     -0.0850      0.537     -0.158      0.874      -1.137       0.967\n",
       "pblackct               0.0184      0.025      0.726      0.468      -0.031       0.068\n",
       "pchildct              -0.0084      0.022     -0.374      0.708      -0.052       0.035\n",
       "======================================================================================\n",
       "\"\"\""
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model = smf.glm(formula = 'total_count ~ '+independent_variables, data=df, family=sm.families.NegativeBinomial()).fit()\n",
    "\n",
    "model.summary()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Negative Binomial Model for ln-transformed Total Counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>Generalized Linear Model Regression Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>    <td>total_count_ln</td>  <th>  No. Observations:  </th>  <td>   139</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>                  <td>GLM</td>       <th>  Df Residuals:      </th>  <td>   120</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model Family:</th>    <td>NegativeBinomial</td> <th>  Df Model:          </th>  <td>    18</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Link Function:</th>          <td>Log</td>       <th>  Scale:             </th> <td>  1.0000</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Method:</th>                <td>IRLS</td>       <th>  Log-Likelihood:    </th> <td> -360.05</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>            <td>Wed, 31 May 2023</td> <th>  Deviance:          </th> <td> 0.70521</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                <td>20:42:05</td>     <th>  Pearson chi2:      </th>  <td> 0.706</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>No. Iterations:</th>          <td>4</td>        <th>  Pseudo R-squ. (CS):</th> <td>0.009668</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Covariance Type:</th>     <td>nonrobust</td>    <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "           <td></td>             <th>coef</th>     <th>std err</th>      <th>z</th>      <th>P>|z|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Intercept</th>          <td>    1.9817</td> <td>   16.036</td> <td>    0.124</td> <td> 0.902</td> <td>  -29.449</td> <td>   33.412</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>BPHIGH_CrudePrev</th>   <td>   -0.0104</td> <td>    0.189</td> <td>   -0.055</td> <td> 0.956</td> <td>   -0.380</td> <td>    0.359</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>CHD_CrudePrev</th>      <td>    0.2009</td> <td>    0.773</td> <td>    0.260</td> <td> 0.795</td> <td>   -1.314</td> <td>    1.716</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>COPD_CrudePrev</th>     <td>   -0.0301</td> <td>    0.731</td> <td>   -0.041</td> <td> 0.967</td> <td>   -1.462</td> <td>    1.402</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>DIABETES_CrudePrev</th> <td>    0.0064</td> <td>    0.436</td> <td>    0.015</td> <td> 0.988</td> <td>   -0.848</td> <td>    0.860</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>PHLTH_CrudePrev</th>    <td>   -0.0478</td> <td>    0.474</td> <td>   -0.101</td> <td> 0.920</td> <td>   -0.976</td> <td>    0.881</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>STROKE_CrudePrev</th>   <td>   -0.0796</td> <td>    1.306</td> <td>   -0.061</td> <td> 0.951</td> <td>   -2.639</td> <td>    2.480</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>OBESITY_CrudePrev</th>  <td>    0.0099</td> <td>    0.154</td> <td>    0.065</td> <td> 0.949</td> <td>   -0.291</td> <td>    0.311</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>pelderlyct</th>         <td>   -0.0018</td> <td>    0.046</td> <td>   -0.040</td> <td> 0.968</td> <td>   -0.091</td> <td>    0.088</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>BPMED_CrudePrev</th>    <td>   -0.0036</td> <td>    0.048</td> <td>   -0.075</td> <td> 0.940</td> <td>   -0.098</td> <td>    0.091</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>CANCER_CrudePrev</th>   <td>   -0.0564</td> <td>    0.541</td> <td>   -0.104</td> <td> 0.917</td> <td>   -1.117</td> <td>    1.004</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>CHECKUP_CrudePrev</th>  <td>    0.0070</td> <td>    0.276</td> <td>    0.025</td> <td> 0.980</td> <td>   -0.534</td> <td>    0.548</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>CSMOKING_CrudePrev</th> <td>    0.0069</td> <td>    0.244</td> <td>    0.028</td> <td> 0.978</td> <td>   -0.472</td> <td>    0.486</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>hunit</th>              <td> 8.759e-05</td> <td>    0.000</td> <td>    0.708</td> <td> 0.479</td> <td>   -0.000</td> <td>    0.000</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>pnohvacbg</th>          <td>   -0.0021</td> <td>    0.142</td> <td>   -0.015</td> <td> 0.988</td> <td>   -0.280</td> <td>    0.276</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>poldhubg</th>           <td>    0.0009</td> <td>    0.006</td> <td>    0.154</td> <td> 0.878</td> <td>   -0.010</td> <td>    0.012</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>CASTHMA_CrudePrev</th>  <td>    0.0008</td> <td>    0.591</td> <td>    0.001</td> <td> 0.999</td> <td>   -1.157</td> <td>    1.158</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>pblackct</th>           <td>    0.0044</td> <td>    0.028</td> <td>    0.159</td> <td> 0.874</td> <td>   -0.050</td> <td>    0.059</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>pchildct</th>           <td>   -0.0017</td> <td>    0.025</td> <td>   -0.071</td> <td> 0.944</td> <td>   -0.050</td> <td>    0.046</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.summary.Summary'>\n",
       "\"\"\"\n",
       "                 Generalized Linear Model Regression Results                  \n",
       "==============================================================================\n",
       "Dep. Variable:         total_count_ln   No. Observations:                  139\n",
       "Model:                            GLM   Df Residuals:                      120\n",
       "Model Family:        NegativeBinomial   Df Model:                           18\n",
       "Link Function:                    Log   Scale:                          1.0000\n",
       "Method:                          IRLS   Log-Likelihood:                -360.05\n",
       "Date:                Wed, 31 May 2023   Deviance:                      0.70521\n",
       "Time:                        20:42:05   Pearson chi2:                    0.706\n",
       "No. Iterations:                     4   Pseudo R-squ. (CS):           0.009668\n",
       "Covariance Type:            nonrobust                                         \n",
       "======================================================================================\n",
       "                         coef    std err          z      P>|z|      [0.025      0.975]\n",
       "--------------------------------------------------------------------------------------\n",
       "Intercept              1.9817     16.036      0.124      0.902     -29.449      33.412\n",
       "BPHIGH_CrudePrev      -0.0104      0.189     -0.055      0.956      -0.380       0.359\n",
       "CHD_CrudePrev          0.2009      0.773      0.260      0.795      -1.314       1.716\n",
       "COPD_CrudePrev        -0.0301      0.731     -0.041      0.967      -1.462       1.402\n",
       "DIABETES_CrudePrev     0.0064      0.436      0.015      0.988      -0.848       0.860\n",
       "PHLTH_CrudePrev       -0.0478      0.474     -0.101      0.920      -0.976       0.881\n",
       "STROKE_CrudePrev      -0.0796      1.306     -0.061      0.951      -2.639       2.480\n",
       "OBESITY_CrudePrev      0.0099      0.154      0.065      0.949      -0.291       0.311\n",
       "pelderlyct            -0.0018      0.046     -0.040      0.968      -0.091       0.088\n",
       "BPMED_CrudePrev       -0.0036      0.048     -0.075      0.940      -0.098       0.091\n",
       "CANCER_CrudePrev      -0.0564      0.541     -0.104      0.917      -1.117       1.004\n",
       "CHECKUP_CrudePrev      0.0070      0.276      0.025      0.980      -0.534       0.548\n",
       "CSMOKING_CrudePrev     0.0069      0.244      0.028      0.978      -0.472       0.486\n",
       "hunit               8.759e-05      0.000      0.708      0.479      -0.000       0.000\n",
       "pnohvacbg             -0.0021      0.142     -0.015      0.988      -0.280       0.276\n",
       "poldhubg               0.0009      0.006      0.154      0.878      -0.010       0.012\n",
       "CASTHMA_CrudePrev      0.0008      0.591      0.001      0.999      -1.157       1.158\n",
       "pblackct               0.0044      0.028      0.159      0.874      -0.050       0.059\n",
       "pchildct              -0.0017      0.025     -0.071      0.944      -0.050       0.046\n",
       "======================================================================================\n",
       "\"\"\""
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model = smf.glm(formula = 'total_count_ln ~ '+independent_variables, data=df, family=sm.families.NegativeBinomial()).fit()\n",
    "\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>Generalized Linear Model Regression Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>      <td>total_count</td>   <th>  No. Observations:  </th>  <td>   139</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>                  <td>GLM</td>       <th>  Df Residuals:      </th>  <td>   120</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model Family:</th>         <td>Poisson</td>     <th>  Df Model:          </th>  <td>    18</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Link Function:</th>          <td>Log</td>       <th>  Scale:             </th> <td>  1.0000</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Method:</th>                <td>IRLS</td>       <th>  Log-Likelihood:    </th> <td> -1169.2</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>            <td>Wed, 31 May 2023</td> <th>  Deviance:          </th> <td>  1465.8</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                <td>20:42:06</td>     <th>  Pearson chi2:      </th> <td>1.55e+03</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>No. Iterations:</th>          <td>5</td>        <th>  Pseudo R-squ. (CS):</th>  <td> 1.000</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Covariance Type:</th>     <td>nonrobust</td>    <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "           <td></td>             <th>coef</th>     <th>std err</th>      <th>z</th>      <th>P>|z|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Intercept</th>          <td>    4.4999</td> <td>    1.440</td> <td>    3.126</td> <td> 0.002</td> <td>    1.678</td> <td>    7.321</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>BPHIGH_CrudePrev</th>   <td>    0.0332</td> <td>    0.017</td> <td>    1.911</td> <td> 0.056</td> <td>   -0.001</td> <td>    0.067</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>CHD_CrudePrev</th>      <td>    1.0919</td> <td>    0.072</td> <td>   15.249</td> <td> 0.000</td> <td>    0.952</td> <td>    1.232</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>COPD_CrudePrev</th>     <td>   -0.2408</td> <td>    0.068</td> <td>   -3.540</td> <td> 0.000</td> <td>   -0.374</td> <td>   -0.107</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>DIABETES_CrudePrev</th> <td>    0.0070</td> <td>    0.039</td> <td>    0.179</td> <td> 0.858</td> <td>   -0.070</td> <td>    0.084</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>PHLTH_CrudePrev</th>    <td>   -0.2665</td> <td>    0.045</td> <td>   -5.865</td> <td> 0.000</td> <td>   -0.356</td> <td>   -0.177</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>STROKE_CrudePrev</th>   <td>   -0.7433</td> <td>    0.120</td> <td>   -6.176</td> <td> 0.000</td> <td>   -0.979</td> <td>   -0.507</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>OBESITY_CrudePrev</th>  <td>    0.0192</td> <td>    0.014</td> <td>    1.403</td> <td> 0.160</td> <td>   -0.008</td> <td>    0.046</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>pelderlyct</th>         <td>-2.969e-05</td> <td>    0.004</td> <td>   -0.007</td> <td> 0.995</td> <td>   -0.009</td> <td>    0.009</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>BPMED_CrudePrev</th>    <td>   -0.0061</td> <td>    0.004</td> <td>   -1.357</td> <td> 0.175</td> <td>   -0.015</td> <td>    0.003</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>CANCER_CrudePrev</th>   <td>   -0.4518</td> <td>    0.051</td> <td>   -8.823</td> <td> 0.000</td> <td>   -0.552</td> <td>   -0.351</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>CHECKUP_CrudePrev</th>  <td>    0.0103</td> <td>    0.025</td> <td>    0.416</td> <td> 0.677</td> <td>   -0.038</td> <td>    0.059</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>CSMOKING_CrudePrev</th> <td>    0.0822</td> <td>    0.022</td> <td>    3.783</td> <td> 0.000</td> <td>    0.040</td> <td>    0.125</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>hunit</th>              <td>    0.0004</td> <td> 1.03e-05</td> <td>   35.718</td> <td> 0.000</td> <td>    0.000</td> <td>    0.000</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>pnohvacbg</th>          <td>   -0.0318</td> <td>    0.014</td> <td>   -2.347</td> <td> 0.019</td> <td>   -0.058</td> <td>   -0.005</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>poldhubg</th>           <td>    0.0009</td> <td>    0.001</td> <td>    1.637</td> <td> 0.102</td> <td>   -0.000</td> <td>    0.002</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>CASTHMA_CrudePrev</th>  <td>    0.0709</td> <td>    0.053</td> <td>    1.339</td> <td> 0.181</td> <td>   -0.033</td> <td>    0.175</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>pblackct</th>           <td>    0.0093</td> <td>    0.003</td> <td>    3.706</td> <td> 0.000</td> <td>    0.004</td> <td>    0.014</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>pchildct</th>           <td>   -0.0088</td> <td>    0.002</td> <td>   -4.099</td> <td> 0.000</td> <td>   -0.013</td> <td>   -0.005</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.summary.Summary'>\n",
       "\"\"\"\n",
       "                 Generalized Linear Model Regression Results                  \n",
       "==============================================================================\n",
       "Dep. Variable:            total_count   No. Observations:                  139\n",
       "Model:                            GLM   Df Residuals:                      120\n",
       "Model Family:                 Poisson   Df Model:                           18\n",
       "Link Function:                    Log   Scale:                          1.0000\n",
       "Method:                          IRLS   Log-Likelihood:                -1169.2\n",
       "Date:                Wed, 31 May 2023   Deviance:                       1465.8\n",
       "Time:                        20:42:06   Pearson chi2:                 1.55e+03\n",
       "No. Iterations:                     5   Pseudo R-squ. (CS):              1.000\n",
       "Covariance Type:            nonrobust                                         \n",
       "======================================================================================\n",
       "                         coef    std err          z      P>|z|      [0.025      0.975]\n",
       "--------------------------------------------------------------------------------------\n",
       "Intercept              4.4999      1.440      3.126      0.002       1.678       7.321\n",
       "BPHIGH_CrudePrev       0.0332      0.017      1.911      0.056      -0.001       0.067\n",
       "CHD_CrudePrev          1.0919      0.072     15.249      0.000       0.952       1.232\n",
       "COPD_CrudePrev        -0.2408      0.068     -3.540      0.000      -0.374      -0.107\n",
       "DIABETES_CrudePrev     0.0070      0.039      0.179      0.858      -0.070       0.084\n",
       "PHLTH_CrudePrev       -0.2665      0.045     -5.865      0.000      -0.356      -0.177\n",
       "STROKE_CrudePrev      -0.7433      0.120     -6.176      0.000      -0.979      -0.507\n",
       "OBESITY_CrudePrev      0.0192      0.014      1.403      0.160      -0.008       0.046\n",
       "pelderlyct         -2.969e-05      0.004     -0.007      0.995      -0.009       0.009\n",
       "BPMED_CrudePrev       -0.0061      0.004     -1.357      0.175      -0.015       0.003\n",
       "CANCER_CrudePrev      -0.4518      0.051     -8.823      0.000      -0.552      -0.351\n",
       "CHECKUP_CrudePrev      0.0103      0.025      0.416      0.677      -0.038       0.059\n",
       "CSMOKING_CrudePrev     0.0822      0.022      3.783      0.000       0.040       0.125\n",
       "hunit                  0.0004   1.03e-05     35.718      0.000       0.000       0.000\n",
       "pnohvacbg             -0.0318      0.014     -2.347      0.019      -0.058      -0.005\n",
       "poldhubg               0.0009      0.001      1.637      0.102      -0.000       0.002\n",
       "CASTHMA_CrudePrev      0.0709      0.053      1.339      0.181      -0.033       0.175\n",
       "pblackct               0.0093      0.003      3.706      0.000       0.004       0.014\n",
       "pchildct              -0.0088      0.002     -4.099      0.000      -0.013      -0.005\n",
       "======================================================================================\n",
       "\"\"\""
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model = smf.glm(formula = 'total_count ~ '+independent_variables, data=df, family=sm.families.Poisson()).fit()\n",
    "\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>Generalized Linear Model Regression Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>    <td>total_count_ln</td>  <th>  No. Observations:  </th>  <td>   139</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>                  <td>GLM</td>       <th>  Df Residuals:      </th>  <td>   120</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model Family:</th>         <td>Poisson</td>     <th>  Df Model:          </th>  <td>    18</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Link Function:</th>          <td>Log</td>       <th>  Scale:             </th> <td>  1.0000</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Method:</th>                <td>IRLS</td>       <th>  Log-Likelihood:    </th> <td> -235.19</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>            <td>Wed, 31 May 2023</td> <th>  Deviance:          </th> <td>  3.7445</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                <td>20:42:06</td>     <th>  Pearson chi2:      </th>  <td>  3.75</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>No. Iterations:</th>          <td>4</td>        <th>  Pseudo R-squ. (CS):</th>  <td>0.05077</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Covariance Type:</th>     <td>nonrobust</td>    <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "           <td></td>             <th>coef</th>     <th>std err</th>      <th>z</th>      <th>P>|z|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Intercept</th>          <td>    1.8950</td> <td>    6.848</td> <td>    0.277</td> <td> 0.782</td> <td>  -11.526</td> <td>   15.316</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>BPHIGH_CrudePrev</th>   <td>   -0.0088</td> <td>    0.081</td> <td>   -0.108</td> <td> 0.914</td> <td>   -0.168</td> <td>    0.150</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>CHD_CrudePrev</th>      <td>    0.2054</td> <td>    0.331</td> <td>    0.620</td> <td> 0.535</td> <td>   -0.444</td> <td>    0.854</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>COPD_CrudePrev</th>     <td>   -0.0347</td> <td>    0.314</td> <td>   -0.110</td> <td> 0.912</td> <td>   -0.649</td> <td>    0.580</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>DIABETES_CrudePrev</th> <td>    0.0068</td> <td>    0.186</td> <td>    0.037</td> <td> 0.971</td> <td>   -0.357</td> <td>    0.371</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>PHLTH_CrudePrev</th>    <td>   -0.0509</td> <td>    0.205</td> <td>   -0.249</td> <td> 0.804</td> <td>   -0.452</td> <td>    0.350</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>STROKE_CrudePrev</th>   <td>   -0.0899</td> <td>    0.560</td> <td>   -0.160</td> <td> 0.873</td> <td>   -1.188</td> <td>    1.008</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>OBESITY_CrudePrev</th>  <td>    0.0100</td> <td>    0.066</td> <td>    0.152</td> <td> 0.879</td> <td>   -0.119</td> <td>    0.139</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>pelderlyct</th>         <td>   -0.0015</td> <td>    0.020</td> <td>   -0.073</td> <td> 0.942</td> <td>   -0.041</td> <td>    0.038</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>BPMED_CrudePrev</th>    <td>   -0.0032</td> <td>    0.021</td> <td>   -0.153</td> <td> 0.878</td> <td>   -0.044</td> <td>    0.037</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>CANCER_CrudePrev</th>   <td>   -0.0590</td> <td>    0.233</td> <td>   -0.253</td> <td> 0.800</td> <td>   -0.516</td> <td>    0.398</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>CHECKUP_CrudePrev</th>  <td>    0.0069</td> <td>    0.118</td> <td>    0.058</td> <td> 0.953</td> <td>   -0.224</td> <td>    0.238</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>CSMOKING_CrudePrev</th> <td>    0.0085</td> <td>    0.104</td> <td>    0.082</td> <td> 0.935</td> <td>   -0.196</td> <td>    0.213</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>hunit</th>              <td> 8.677e-05</td> <td>  5.2e-05</td> <td>    1.669</td> <td> 0.095</td> <td>-1.51e-05</td> <td>    0.000</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>pnohvacbg</th>          <td>   -0.0023</td> <td>    0.061</td> <td>   -0.038</td> <td> 0.970</td> <td>   -0.122</td> <td>    0.117</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>poldhubg</th>           <td>    0.0008</td> <td>    0.002</td> <td>    0.317</td> <td> 0.751</td> <td>   -0.004</td> <td>    0.005</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>CASTHMA_CrudePrev</th>  <td>    0.0075</td> <td>    0.252</td> <td>    0.030</td> <td> 0.976</td> <td>   -0.486</td> <td>    0.501</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>pblackct</th>           <td>    0.0040</td> <td>    0.012</td> <td>    0.338</td> <td> 0.735</td> <td>   -0.019</td> <td>    0.027</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>pchildct</th>           <td>   -0.0018</td> <td>    0.010</td> <td>   -0.173</td> <td> 0.863</td> <td>   -0.022</td> <td>    0.019</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.summary.Summary'>\n",
       "\"\"\"\n",
       "                 Generalized Linear Model Regression Results                  \n",
       "==============================================================================\n",
       "Dep. Variable:         total_count_ln   No. Observations:                  139\n",
       "Model:                            GLM   Df Residuals:                      120\n",
       "Model Family:                 Poisson   Df Model:                           18\n",
       "Link Function:                    Log   Scale:                          1.0000\n",
       "Method:                          IRLS   Log-Likelihood:                -235.19\n",
       "Date:                Wed, 31 May 2023   Deviance:                       3.7445\n",
       "Time:                        20:42:06   Pearson chi2:                     3.75\n",
       "No. Iterations:                     4   Pseudo R-squ. (CS):            0.05077\n",
       "Covariance Type:            nonrobust                                         \n",
       "======================================================================================\n",
       "                         coef    std err          z      P>|z|      [0.025      0.975]\n",
       "--------------------------------------------------------------------------------------\n",
       "Intercept              1.8950      6.848      0.277      0.782     -11.526      15.316\n",
       "BPHIGH_CrudePrev      -0.0088      0.081     -0.108      0.914      -0.168       0.150\n",
       "CHD_CrudePrev          0.2054      0.331      0.620      0.535      -0.444       0.854\n",
       "COPD_CrudePrev        -0.0347      0.314     -0.110      0.912      -0.649       0.580\n",
       "DIABETES_CrudePrev     0.0068      0.186      0.037      0.971      -0.357       0.371\n",
       "PHLTH_CrudePrev       -0.0509      0.205     -0.249      0.804      -0.452       0.350\n",
       "STROKE_CrudePrev      -0.0899      0.560     -0.160      0.873      -1.188       1.008\n",
       "OBESITY_CrudePrev      0.0100      0.066      0.152      0.879      -0.119       0.139\n",
       "pelderlyct            -0.0015      0.020     -0.073      0.942      -0.041       0.038\n",
       "BPMED_CrudePrev       -0.0032      0.021     -0.153      0.878      -0.044       0.037\n",
       "CANCER_CrudePrev      -0.0590      0.233     -0.253      0.800      -0.516       0.398\n",
       "CHECKUP_CrudePrev      0.0069      0.118      0.058      0.953      -0.224       0.238\n",
       "CSMOKING_CrudePrev     0.0085      0.104      0.082      0.935      -0.196       0.213\n",
       "hunit               8.677e-05    5.2e-05      1.669      0.095   -1.51e-05       0.000\n",
       "pnohvacbg             -0.0023      0.061     -0.038      0.970      -0.122       0.117\n",
       "poldhubg               0.0008      0.002      0.317      0.751      -0.004       0.005\n",
       "CASTHMA_CrudePrev      0.0075      0.252      0.030      0.976      -0.486       0.501\n",
       "pblackct               0.0040      0.012      0.338      0.735      -0.019       0.027\n",
       "pchildct              -0.0018      0.010     -0.173      0.863      -0.022       0.019\n",
       "======================================================================================\n",
       "\"\"\""
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model = smf.glm(formula = 'total_count_ln ~ '+independent_variables, data=df, family=sm.families.Poisson()).fit()\n",
    "\n",
    "model.summary()"
   ]
  }
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