notebooks/PCA_projection_descriptors.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "44840b69",
   "metadata": {},
   "source": [
    "## PCA Projection with Physiochemical Descriptors"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e455fbf3",
   "metadata": {},
   "source": [
    "This notebook demostrates how we can use precomputed chemcial descriptors for visualization and model building. In this tutorial, we will show how to visualize chemical space using PCA projections on precomputed `B3DB` dataset."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b02567c4",
   "metadata": {},
   "source": [
    "This notebook can also be accessed with [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/theochem/B3DB/main?filepath=notebooks%2FPCA_projection_descriptors.ipynb)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0e67ff40",
   "metadata": {},
   "outputs": [],
   "source": [
    "# only run this cell if you are running this notebook in mybinder cloud\n",
    "!pip install seaborn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "1f31e783",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn.decomposition import PCA\n",
    "from sklearn import preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "584aa613",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/legend/softs/miniconda3/envs/chem_py37/lib/python3.7/site-packages/IPython/core/interactiveshell.py:3437: DtypeWarning: Columns (11) have mixed types.Specify dtype option on import or set low_memory=False.\n",
      "  exec(code_obj, self.user_global_ns, self.user_ns)\n"
     ]
    }
   ],
   "source": [
    "# data file name for BBB dataset with categorical data\n",
    "bbb_fpath = \"../B3DB/B3DB_classification_extended.tsv.gz\"\n",
    "# load data\n",
    "df = pd.read_csv(bbb_fpath, sep=\"\\t\", compression=\"gzip\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "c8e3aca3",
   "metadata": {},
   "outputs": [
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       "      <th></th>\n",
       "      <th>NO.</th>\n",
       "      <th>compound_name</th>\n",
       "      <th>IUPAC_name</th>\n",
       "      <th>SMILES</th>\n",
       "      <th>CID</th>\n",
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       "      <th>Inchi</th>\n",
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       "      <th>WPath</th>\n",
       "      <th>WPol</th>\n",
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       "      <td>1</td>\n",
       "      <td>sulphasalazine</td>\n",
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       "      <td>BBB-</td>\n",
       "      <td>InChI=1S/C18H14N4O5S/c23-16-9-6-13(11-15(16)18...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>R2|R2|R25|R46|</td>\n",
       "      <td>...</td>\n",
       "      <td>10.171643</td>\n",
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       "      <td>9.477821</td>\n",
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       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>moxalactam</td>\n",
       "      <td>7-[[2-carboxy-2-(4-hydroxyphenyl)acetyl]amino]...</td>\n",
       "      <td>COC1(NC(=O)C(C(=O)O)c2ccc(O)cc2)C(=O)N2C(C(=O)...</td>\n",
       "      <td>3889.0</td>\n",
       "      <td>-2.52</td>\n",
       "      <td>BBB-</td>\n",
       "      <td>InChI=1S/C20H20N6O9S/c1-25-19(22-23-24-25)36-8...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>R25|</td>\n",
       "      <td>...</td>\n",
       "      <td>10.893010</td>\n",
       "      <td>87.033695</td>\n",
       "      <td>520.101247</td>\n",
       "      <td>9.287522</td>\n",
       "      <td>4114</td>\n",
       "      <td>62</td>\n",
       "      <td>194</td>\n",
       "      <td>237</td>\n",
       "      <td>13.756944</td>\n",
       "      <td>7.916667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>clioquinol</td>\n",
       "      <td>5-chloro-7-iodoquinolin-8-ol</td>\n",
       "      <td>Oc1c(I)cc(Cl)c2cccnc12</td>\n",
       "      <td>2788.0</td>\n",
       "      <td>-2.40</td>\n",
       "      <td>BBB-</td>\n",
       "      <td>InChI=1S/C9H5ClINO/c10-6-4-7(11)9(13)8-5(6)2-1...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>R18|R26|R27|</td>\n",
       "      <td>...</td>\n",
       "      <td>9.618402</td>\n",
       "      <td>44.825548</td>\n",
       "      <td>304.910439</td>\n",
       "      <td>16.939469</td>\n",
       "      <td>218</td>\n",
       "      <td>21</td>\n",
       "      <td>68</td>\n",
       "      <td>81</td>\n",
       "      <td>4.805556</td>\n",
       "      <td>2.861111</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>bbcpd11 (cimetidine analog) (y-g13)</td>\n",
       "      <td>2-[2-[(3-bromopyridin-2-yl)methylsulfanyl]ethy...</td>\n",
       "      <td>CCNC(=NCCSCc1ncccc1Br)NC#N</td>\n",
       "      <td>14022517.0</td>\n",
       "      <td>-2.15</td>\n",
       "      <td>BBB-</td>\n",
       "      <td>InChI=1S/C12H16BrN5S/c1-2-15-12(18-9-14)17-6-7...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>R2|R2|R8|R40|R2|R2|R2|R2|R18|R21|R25|R25|R26|R...</td>\n",
       "      <td>...</td>\n",
       "      <td>9.201199</td>\n",
       "      <td>50.610337</td>\n",
       "      <td>341.030979</td>\n",
       "      <td>9.743742</td>\n",
       "      <td>898</td>\n",
       "      <td>22</td>\n",
       "      <td>82</td>\n",
       "      <td>88</td>\n",
       "      <td>6.583333</td>\n",
       "      <td>4.694444</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>schembl614298</td>\n",
       "      <td>(2s,3s,4s,5r)-6-[[(4r,4ar,7s,7ar,12bs)-7-hydro...</td>\n",
       "      <td>CN1CC[C@]23c4c5ccc(OC6O[C@H](C(=O)O)[C@@H](O)[...</td>\n",
       "      <td>18595497.0</td>\n",
       "      <td>-2.15</td>\n",
       "      <td>BBB-</td>\n",
       "      <td>InChI=1S/C23H27NO9/c1-24-7-6-23-10-3-4-12(25)2...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>R25|</td>\n",
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       "      <td>10.992336</td>\n",
       "      <td>85.350582</td>\n",
       "      <td>461.168581</td>\n",
       "      <td>7.686143</td>\n",
       "      <td>2850</td>\n",
       "      <td>74</td>\n",
       "      <td>198</td>\n",
       "      <td>254</td>\n",
       "      <td>11.229167</td>\n",
       "      <td>6.847222</td>\n",
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       "   NO.                        compound_name  \\\n",
       "0    1                       sulphasalazine   \n",
       "1    2                           moxalactam   \n",
       "2    3                           clioquinol   \n",
       "3    4  bbcpd11 (cimetidine analog) (y-g13)   \n",
       "4    5                        schembl614298   \n",
       "\n",
       "                                          IUPAC_name  \\\n",
       "0  2-hydroxy-5-[[4-(pyridin-2-ylsulfamoyl)phenyl]...   \n",
       "1  7-[[2-carboxy-2-(4-hydroxyphenyl)acetyl]amino]...   \n",
       "2                       5-chloro-7-iodoquinolin-8-ol   \n",
       "3  2-[2-[(3-bromopyridin-2-yl)methylsulfanyl]ethy...   \n",
       "4  (2s,3s,4s,5r)-6-[[(4r,4ar,7s,7ar,12bs)-7-hydro...   \n",
       "\n",
       "                                              SMILES         CID  logBB  \\\n",
       "0   O=C(O)c1cc(N=Nc2ccc(S(=O)(=O)Nc3ccccn3)cc2)ccc1O      5339.0  -2.69   \n",
       "1  COC1(NC(=O)C(C(=O)O)c2ccc(O)cc2)C(=O)N2C(C(=O)...      3889.0  -2.52   \n",
       "2                             Oc1c(I)cc(Cl)c2cccnc12      2788.0  -2.40   \n",
       "3                         CCNC(=NCCSCc1ncccc1Br)NC#N  14022517.0  -2.15   \n",
       "4  CN1CC[C@]23c4c5ccc(OC6O[C@H](C(=O)O)[C@@H](O)[...  18595497.0  -2.15   \n",
       "\n",
       "  BBB+/BBB-                                              Inchi  threshold  \\\n",
       "0      BBB-  InChI=1S/C18H14N4O5S/c23-16-9-6-13(11-15(16)18...        NaN   \n",
       "1      BBB-  InChI=1S/C20H20N6O9S/c1-25-19(22-23-24-25)36-8...        NaN   \n",
       "2      BBB-  InChI=1S/C9H5ClINO/c10-6-4-7(11)9(13)8-5(6)2-1...        NaN   \n",
       "3      BBB-  InChI=1S/C12H16BrN5S/c1-2-15-12(18-9-14)17-6-7...        NaN   \n",
       "4      BBB-  InChI=1S/C23H27NO9/c1-24-7-6-23-10-3-4-12(25)2...        NaN   \n",
       "\n",
       "                                           reference  ...      SRW10  \\\n",
       "0                                     R2|R2|R25|R46|  ...  10.171643   \n",
       "1                                               R25|  ...  10.893010   \n",
       "2                                       R18|R26|R27|  ...   9.618402   \n",
       "3  R2|R2|R8|R40|R2|R2|R2|R2|R18|R21|R25|R25|R26|R...  ...   9.201199   \n",
       "4                                               R25|  ...  10.992336   \n",
       "\n",
       "      TSRW10          MW        AMW  WPath  WPol  Zagreb1  Zagreb2   mZagreb1  \\\n",
       "0  63.201012  398.068491   9.477821   2428    42      144      165   9.590278   \n",
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       "4  85.350582  461.168581   7.686143   2850    74      198      254  11.229167   \n",
       "\n",
       "   mZagreb2  \n",
       "0  6.097222  \n",
       "1  7.916667  \n",
       "2  2.861111  \n",
       "3  4.694444  \n",
       "4  6.847222  \n",
       "\n",
       "[5 rows x 1625 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "f0e22953",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_descriptors = df.iloc[:, 12:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "45858103",
   "metadata": {},
   "outputs": [
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       "      <td>1.282938</td>\n",
       "      <td>3.505118</td>\n",
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       "      <td>44.825548</td>\n",
       "      <td>304.910439</td>\n",
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       "      <td>218</td>\n",
       "      <td>21</td>\n",
       "      <td>68</td>\n",
       "      <td>81</td>\n",
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       "      <td>1</td>\n",
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       "      <td>2.709582</td>\n",
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       "      <td>1.316225</td>\n",
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       "         ABC      ABCGG  nAcid  nBase    SpAbs_A   SpMax_A  SpDiam_A  \\\n",
       "0  21.716720  16.307343      1      0  35.289886  2.380530  4.761059   \n",
       "1  27.965103  22.915028      4      0  45.430282  2.648849  5.297577   \n",
       "2  10.065904   8.927318      0      0  16.678194  2.425683  4.851365   \n",
       "3  13.503979  11.612996      0      3  23.641772  2.237342  4.474683   \n",
       "4  27.006116  19.957433      1      1  43.435426  2.709582  5.329713   \n",
       "\n",
       "      SpAD_A   SpMAD_A   LogEE_A  ...      SRW10     TSRW10          MW  \\\n",
       "0  35.289886  1.260353  4.249578  ...  10.171643  63.201012  398.068491   \n",
       "1  45.430282  1.261952  4.519812  ...  10.893010  87.033695  520.101247   \n",
       "2  16.678194  1.282938  3.505118  ...   9.618402  44.825548  304.910439   \n",
       "3  23.641772  1.244304  3.806689  ...   9.201199  50.610337  341.030979   \n",
       "4  43.435426  1.316225  4.477453  ...  10.992336  85.350582  461.168581   \n",
       "\n",
       "         AMW  WPath  WPol  Zagreb1  Zagreb2   mZagreb1  mZagreb2  \n",
       "0   9.477821   2428    42      144      165   9.590278  6.097222  \n",
       "1   9.287522   4114    62      194      237  13.756944  7.916667  \n",
       "2  16.939469    218    21       68       81   4.805556  2.861111  \n",
       "3   9.743742    898    22       82       88   6.583333  4.694444  \n",
       "4   7.686143   2850    74      198      254  11.229167  6.847222  \n",
       "\n",
       "[5 rows x 1613 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_descriptors.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "6ba4d33e",
   "metadata": {},
   "outputs": [
    {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ABC</th>\n",
       "      <th>ABCGG</th>\n",
       "      <th>nAcid</th>\n",
       "      <th>nBase</th>\n",
       "      <th>SpAbs_A</th>\n",
       "      <th>SpMax_A</th>\n",
       "      <th>SpDiam_A</th>\n",
       "      <th>SpAD_A</th>\n",
       "      <th>SpMAD_A</th>\n",
       "      <th>LogEE_A</th>\n",
       "      <th>...</th>\n",
       "      <th>SRW10</th>\n",
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       "      <th>mZagreb2</th>\n",
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       "      <th>count</th>\n",
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       "      <td>7797.000000</td>\n",
       "      <td>7797.000000</td>\n",
       "      <td>7797.000000</td>\n",
       "      <td>...</td>\n",
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       "      <td>7807.000000</td>\n",
       "      <td>7807.000000</td>\n",
       "      <td>7807.000000</td>\n",
       "      <td>7800.000000</td>\n",
       "      <td>7807.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>20.936784</td>\n",
       "      <td>16.974609</td>\n",
       "      <td>0.214935</td>\n",
       "      <td>0.677597</td>\n",
       "      <td>34.032968</td>\n",
       "      <td>2.499863</td>\n",
       "      <td>4.945133</td>\n",
       "      <td>34.032968</td>\n",
       "      <td>1.260908</td>\n",
       "      <td>4.133128</td>\n",
       "      <td>...</td>\n",
       "      <td>10.211636</td>\n",
       "      <td>70.859232</td>\n",
       "      <td>385.035739</td>\n",
       "      <td>7.616997</td>\n",
       "      <td>6.099932e+07</td>\n",
       "      <td>47.132573</td>\n",
       "      <td>144.137313</td>\n",
       "      <td>173.705521</td>\n",
       "      <td>9.912709</td>\n",
       "      <td>5.883298</td>\n",
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       "      <th>std</th>\n",
       "      <td>9.441971</td>\n",
       "      <td>6.706245</td>\n",
       "      <td>0.585430</td>\n",
       "      <td>0.929318</td>\n",
       "      <td>15.044475</td>\n",
       "      <td>0.182698</td>\n",
       "      <td>0.350716</td>\n",
       "      <td>15.044475</td>\n",
       "      <td>0.073117</td>\n",
       "      <td>0.456915</td>\n",
       "      <td>...</td>\n",
       "      <td>0.834547</td>\n",
       "      <td>17.515823</td>\n",
       "      <td>170.733951</td>\n",
       "      <td>2.415272</td>\n",
       "      <td>4.310903e+09</td>\n",
       "      <td>26.063792</td>\n",
       "      <td>66.774481</td>\n",
       "      <td>83.349697</td>\n",
       "      <td>5.129713</td>\n",
       "      <td>2.597268</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.693147</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>7.016005</td>\n",
       "      <td>3.206260</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>15.492048</td>\n",
       "      <td>13.041353</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>25.572188</td>\n",
       "      <td>2.409622</td>\n",
       "      <td>4.776882</td>\n",
       "      <td>25.572188</td>\n",
       "      <td>1.236423</td>\n",
       "      <td>3.930254</td>\n",
       "      <td>...</td>\n",
       "      <td>9.888374</td>\n",
       "      <td>59.910817</td>\n",
       "      <td>285.079568</td>\n",
       "      <td>6.660752</td>\n",
       "      <td>7.820000e+02</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>104.000000</td>\n",
       "      <td>121.000000</td>\n",
       "      <td>6.633681</td>\n",
       "      <td>4.416667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>19.993908</td>\n",
       "      <td>16.150871</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>32.595631</td>\n",
       "      <td>2.500142</td>\n",
       "      <td>4.958639</td>\n",
       "      <td>32.595631</td>\n",
       "      <td>1.264957</td>\n",
       "      <td>4.179205</td>\n",
       "      <td>...</td>\n",
       "      <td>10.310452</td>\n",
       "      <td>71.730916</td>\n",
       "      <td>362.103335</td>\n",
       "      <td>7.243813</td>\n",
       "      <td>1.541000e+03</td>\n",
       "      <td>43.000000</td>\n",
       "      <td>138.000000</td>\n",
       "      <td>165.000000</td>\n",
       "      <td>8.701389</td>\n",
       "      <td>5.569444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>24.743058</td>\n",
       "      <td>19.811292</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>39.888683</td>\n",
       "      <td>2.628402</td>\n",
       "      <td>5.148124</td>\n",
       "      <td>39.888683</td>\n",
       "      <td>1.302207</td>\n",
       "      <td>4.390999</td>\n",
       "      <td>...</td>\n",
       "      <td>10.721967</td>\n",
       "      <td>80.982453</td>\n",
       "      <td>451.264213</td>\n",
       "      <td>8.102851</td>\n",
       "      <td>2.709000e+03</td>\n",
       "      <td>59.000000</td>\n",
       "      <td>174.000000</td>\n",
       "      <td>212.500000</td>\n",
       "      <td>11.944444</td>\n",
       "      <td>6.777778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>103.849824</td>\n",
       "      <td>79.433831</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>169.080886</td>\n",
       "      <td>2.982174</td>\n",
       "      <td>5.754004</td>\n",
       "      <td>169.080886</td>\n",
       "      <td>1.406591</td>\n",
       "      <td>5.810456</td>\n",
       "      <td>...</td>\n",
       "      <td>11.953120</td>\n",
       "      <td>196.846273</td>\n",
       "      <td>1881.070533</td>\n",
       "      <td>131.904154</td>\n",
       "      <td>3.782000e+11</td>\n",
       "      <td>261.000000</td>\n",
       "      <td>716.000000</td>\n",
       "      <td>862.000000</td>\n",
       "      <td>53.444444</td>\n",
       "      <td>30.222222</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 1613 columns</p>\n",
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      ],
      "text/plain": [
       "               ABC        ABCGG        nAcid        nBase      SpAbs_A  \\\n",
       "count  7807.000000  7807.000000  7807.000000  7807.000000  7797.000000   \n",
       "mean     20.936784    16.974609     0.214935     0.677597    34.032968   \n",
       "std       9.441971     6.706245     0.585430     0.929318    15.044475   \n",
       "min       0.000000     0.000000     0.000000     0.000000     0.000000   \n",
       "25%      15.492048    13.041353     0.000000     0.000000    25.572188   \n",
       "50%      19.993908    16.150871     0.000000     1.000000    32.595631   \n",
       "75%      24.743058    19.811292     0.000000     1.000000    39.888683   \n",
       "max     103.849824    79.433831     8.000000    10.000000   169.080886   \n",
       "\n",
       "           SpMax_A     SpDiam_A       SpAD_A      SpMAD_A      LogEE_A  ...  \\\n",
       "count  7797.000000  7797.000000  7797.000000  7797.000000  7797.000000  ...   \n",
       "mean      2.499863     4.945133    34.032968     1.260908     4.133128  ...   \n",
       "std       0.182698     0.350716    15.044475     0.073117     0.456915  ...   \n",
       "min       0.000000     0.000000     0.000000     0.000000     0.693147  ...   \n",
       "25%       2.409622     4.776882    25.572188     1.236423     3.930254  ...   \n",
       "50%       2.500142     4.958639    32.595631     1.264957     4.179205  ...   \n",
       "75%       2.628402     5.148124    39.888683     1.302207     4.390999  ...   \n",
       "max       2.982174     5.754004   169.080886     1.406591     5.810456  ...   \n",
       "\n",
       "             SRW10       TSRW10           MW          AMW         WPath  \\\n",
       "count  7807.000000  7807.000000  7807.000000  7807.000000  7.807000e+03   \n",
       "mean     10.211636    70.859232   385.035739     7.616997  6.099932e+07   \n",
       "std       0.834547    17.515823   170.733951     2.415272  4.310903e+09   \n",
       "min       0.000000     1.000000     7.016005     3.206260  0.000000e+00   \n",
       "25%       9.888374    59.910817   285.079568     6.660752  7.820000e+02   \n",
       "50%      10.310452    71.730916   362.103335     7.243813  1.541000e+03   \n",
       "75%      10.721967    80.982453   451.264213     8.102851  2.709000e+03   \n",
       "max      11.953120   196.846273  1881.070533   131.904154  3.782000e+11   \n",
       "\n",
       "              WPol      Zagreb1      Zagreb2     mZagreb1     mZagreb2  \n",
       "count  7807.000000  7807.000000  7807.000000  7800.000000  7807.000000  \n",
       "mean     47.132573   144.137313   173.705521     9.912709     5.883298  \n",
       "std      26.063792    66.774481    83.349697     5.129713     2.597268  \n",
       "min       0.000000     0.000000     0.000000     0.750000     0.000000  \n",
       "25%      31.000000   104.000000   121.000000     6.633681     4.416667  \n",
       "50%      43.000000   138.000000   165.000000     8.701389     5.569444  \n",
       "75%      59.000000   174.000000   212.500000    11.944444     6.777778  \n",
       "max     261.000000   716.000000   862.000000    53.444444    30.222222  \n",
       "\n",
       "[8 rows x 1613 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_descriptors.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "5438be96",
   "metadata": {},
   "outputs": [],
   "source": [
    "# preprocessing data\n",
    "\n",
    "# remove descriptors with more than 25 nan values\n",
    "df_descriptors = df_descriptors[df_descriptors.columns[df_descriptors.isnull().sum(axis=0) <= 25]]\n",
    "# fill nan with zeros\n",
    "df_descriptors = df_descriptors.fillna(0, inplace=False)\n",
    "# standarize data\n",
    "arr_descriptors = preprocessing.StandardScaler().fit_transform(df_descriptors.to_numpy())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "c360aed5",
   "metadata": {},
   "outputs": [
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       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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ECBAgAABAgQIECgnIEgp56U0AQIECBAgQIAAAQIECBAgQIAAAQIECBAgUCMBQUqNJttQCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAgXICgpRyXkoTIECAAAECBAgQIECAAAECBAgQIECAAAECNRIQpNRosg2VAAECBAgQIECAAAECBAgQIECAAAECBAgQKCcgSCnnpTQBAgQIECBAgAABAgQIECBAgAABAgQIECBQIwFBSo0m21AJECBAgAABAgQIECBAgAABAgQIECBAgACBcgKClHJeShMgQIAAAQIECBAgQIAAAQIECBAgQIAAAQI1EhCk1GiyDZUAAQIECBAgQIAAAQIECBAgQIAAAQIECBAoJyBIKeelNAECBAgQIECAAAECBAgQIECAAAECBAgQIFAjAUFKjSbbUAkQIECAAAECBAgQIECAAAECBAgQIECAAIFyAoKUcl5KEyBAgAABAgQIECBAgAABAgQIECBAgAABAjUSEKTUaLINlQABAgQIECBAgAABAgQIECBAgAABAgQIECgnIEgp56U0AQIECBAgQIAAAQIECBAgQIAAAQIECBAgUCMBQUqNJttQCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAgXICgpRyXkoTIECAAAECBAgQIECAAAECBAgQIECAAAECNRIQpNRosg2VAAECBAgQIECAAAECBAgQIECAAAECBAgQKCcgSCnnpTQBAgQIECBAgAABAgQIECBAgAABAgQIECBQIwFBSo0m21AJECBAgAABAgQIECBAgAABAgQIECBAgACBcgKClHJeShMgQIAAAQIECBAgQIAAAQIECBAgQIAAAQI1EhCk1GiyDZUAAQIECBAgQIAAAQIECBAgQIAAAQIECBAoJyBIKeelNAECBAgQIECAAAECBAgQIECAAAECBAgQIFAjAUFKjSbbUAkQIECAAAECBAgQIECAAAECBAgQIECAAIFyAoKUcl5KEyBAgAABAgQIECBAgAABAgQIECBAgAABAjUSEKTUaLINlQABAgQIECBAgAABAgQIECBAgAABAgQIECgnIEgp56U0AQIECBAgQIAAAQIECBAgQIAAAQIECBAgUCMBQUqNJttQCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAgXICgpRyXkoTIECAAAECBAgQIECAAAECBAgQIECAAAECNRIQpNRosg2VAAECBAgQIECAAAECBAgQIECAAAECBAgQKCcgSCnnpTQBAgQIECBAgAABAgQIECBAgAABAgQIECBQIwFBSo0m21AJECBAgAABAgQIECBAgAABAgQIECBAgACBcgKClHJeShMgQIAAAQIECBAgQIAAAQIECBAgQIAAAQI1EhCk1GiyDZUAAQIECBAgQIAAAQIECBAgQIAAAQIECBAoJyBIKeelNAECBAgQIECAAAECBAgQIECAAAECBAgQIFAjAUFKjSbbUAkQIECAAAECBAgQIECAAAECBAgQIECAAIFyAoKUcl5KEyBAgAABAgQIECBAgAABAgQIECBAgAABAjUSEKTUaLINlQABAgQIECBAgAABAgQIECBAgAABAgQIECgnIEgp56U0AQIECBAgQIAAAQIECBAgQIAAAQIECBAgUCMBQUqNJttQCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAgXICgpRyXkoTIECAAAECBAgQIECAAAECBAgQIECAAAECNRIQpNRosg2VAAECBAgQIECAAAECBAgQIECAAAECBAgQKCcgSCnnpTQBAgQIECBAgAABAgQIECBAgAABAgQIECBQIwFBSo0m21AJECBAgAABAgQIECBAgAABAgQIECBAgACBcgKClHJeShMgQIAAAQIECBAgQIAAAQIECBAgQIAAAQI1EhCk1GiyDZUAAQIECBAgQIAAAQIECBAgQIAAAQIECBAoJyBIKeelNAECBAgQIECAAAECBAgQIECAAAECBAgQIFAjAUFKjSbbUPsnMGzYsP41oDYBAgQIECBAgAABAgQIECBAgAABApUEFixYUKmeSgRaISBIaYWiNmohIEipxTQbJAECBAgQIECAAAECBAgQIECAQAcKCFI6cFJq1CVBSo0m21D7J9ATpHho989RbQIECBAgQIAAAQIECBAgQIAAAQLNCtiTa1ZKuXYKCFLaqavtrhLw0O6q6TQYAgQIECBAgAABAgQIECBAgACBISBgT24ITFINuihIqcEkG2JrBDy0W+OoFQIECBAgQIAAAQIECBAgQIAAAQLNCtiTa1ZKuXYKCFLaqavtrhLw0O6q6TQYAgQIECBAgAABAgQIECBAgACBISBgT24ITFINuihIqcEkG2JrBDy0W+OoFQIECBAgQIAAAQIECBAgQIAAAQLNCtiTa1ZKuXYKCFLaqavtrhLw0O6q6TQYAgQIECBAgAABAgQIECBAgACBISBgT24ITFINuihIqcEkG2JrBDy0W+OoFQIECBAgQIAAAQIECBAgQIAAAQLNCtiTa1ZKuXYKCFLaqavtrhLw0O6q6TQYAgQIECBAgAABAgQIECBAgACBISBgT24ITFINuihIqcEkG2JrBDy0W+OoFQIECBAgQIAAAQIECBAgQIAAAQLNCtiTa1ZKuXYKCFLaqavtrhLw0O6q6TQYAgQIECBAgAABAgQIECBQa4G33norxV8LFiyotYPBt1eg2E8bNWpU46+qlz25qnLqtVJAkNJKTW11tYCHdldPr8ERIECAAAECBAgQIECAAIGuFyhCk1mzZuXll1/OG2+80fXjNcDOERg7dmwmTJiQSZMmpWePrdne2ZNrVkq5dgoIUtqpq+2uEvDQ7qrpNBgCBAgQIECAAAECBAgQIFArgSJEmTlzZl566aVajdtgO0tg4sSJWWONNUqFKfbkOmsO69obQUpdZ964Swt4aJcmU4EAAQIECBAgQIAAAQIECBDoEIEXX3wxzzzzTKM3I0eOTLGhvdJKK5Xa0O6QoejGEBIoArzXX3+9EeC9/fbbjZ5PmzYtkydPbnoU9uSaplKwjQKClDbiarq7BDy0u2s+jYYAAQIECBAgQIAAAQIECNRJ4LHHHmt8zqsIUWbMmNH4u4vAQAkUIUqxBou/F5/5KtZgs5c9uWallGungCClnbra7ioBD+2umk6DIUCAAAECBAgQIECAAAECtREoDpV/+OGHG+NdffXVM2XKlNqM3UA7R+C5557L888/3+jQRhtt1PQB9PbkOmcO69wTQUqdZ9/YSwl4aJfiUpgAAQIECBAgQIAAAQIECBDoEIE5c+bk8ccfb/Rm+vTpGT9+fIf0TDfqJPDqq6/mySefbAx5/fXXb3xarpnLnlwzSsq0W0CQ0m5h7XeNgId210ylgRAgQIAAAQIECBAgQIAAgVoJvPbaa3niiScaY1533XUzbty4Wo3fYDtDoOo6tCfXGfNX914IUuq+Aoy/aQEP7aapFCRAgAABAgQIECBAgAABAgQ6SKDqBnYHDUFXukCg6jq0J9cFk98FQxCkdMEkGsLACHhoD4yzuxAgQIAAAQIECBAgQIAAAQKtFai6gd3aXmit7gJV16E9ubqvnM4YvyClM+ZBL4aAgIf2EJgkXSRAgAABAgQIECBAgAABAgSWEqi6gY2SQCsFqq5De3KtnAVtVRUQpFSVU692Ah7atZtyAyZAgAABAgQIECBAgAABAl0hUHUDuysGbxAdI1B1HdqT65gprHVHBCm1nn6DLyPgoV1GS1kCBAgQIECAAAECBAgQIECgUwSqbmB3Sv/1ozsEqq5De3LdMf9DfRSClKE+g/o/YAIe2gNG7UYECBAgQIAAAQIECBAgQIBACwWqbmC3sAuaIpCq69CenMXTCQKClE6YBX0YEgIe2kNimnSSAAECBAgQIECAAAECBAgQWEKg6gZ20cyXvvSlnHbaacs0XWmllbL22mtnhx12yDHHHNP4+5LXTTfdlF133XWZ9UePHp0pU6Zk6623zmGHHZaDDz44PfsvS1ZY3u+PGDEiEydOzKabbpr99tsvxx13XMaNGzcoa+BnP/tZttlmm6yzzjp58sknG33or1/RRrcYVl2H9uQGZTm76RICghRLgkCTAh7aTUIpRoAAAQIECBAgQIAAAQIECHSUQNUN7CWDgGnTpi0a1/z58/Piiy9m3rx5i37vi1/8YiM46H31DgEmTZqUIjzpuWbNmpW5c+cu+vVee+2Vq666KmPGjFnKr2dfpghJxo8fv+jnxdheffXVRb+eMWNGbrjhhqy//voDPgdF4FSM//jjj8+5557buH/vIKWKX9FGtxhWXYf25AZ8KbvhMgQEKZYFgSYFPLSbhFKMAAECBAgQIECAAAECBAgQ6CiBqhvYSwYBCxYsWGxcRYhy++2359Of/nTuvvvuxs9uueWWxd5M6R0C3Hjjjdlll10WtVG098gjj6QIYC655JLG759xxhk5+eSTl/Lr2ZdZVljzwgsv5Bvf+EZOPfXUFG3uueeeufbaa0vNQdGvH/3oR1myj2Uaec973pN77rkn1113XfbYY49G1d5BShW/oo2hYtiXVdV1aE+uL1k/HwgBQcpAKLtHVwh4aHfFNBoEAQIECBAgQIAAAQIECBConUDVDey+goAeyN/85jeZPn1645cnnXRSzjrrrEXGKwoBegoVgcxmm22Whx56KO9///tzxx13LDVHKwpSegofeeSRueCCCzJ8+PDMnj271Ce++hukPPHEE1lvvfUyYcKEPPfccxk1alSjWysKUprxK8oMFcO+/sWqug7tyfUl6+cDISBIGQhl9+gKAQ/trphGgyBAgAABAgQIECBAgAABArUTqLqB3WwQUJRbffXVU7wZ8slPfjLnnXfeIuNmQoCi8EEHHZQrrriiEajcd999S81RM0FK8TmtT33qU426zz77bOP8lWav/gYpX/va13LCCSfkkEMOyaWXXrrots0EKSvyK342VAz7sq66Du3J9SXr5wMhIEgZCGX36AoBD+2umEaDIECAAAECBAgQIECAAAECtROouoFdQDUTBDz11FONA9aL65xzzmkECj1XMyFAcd5KEaA8+OCDOeCAA3LllVcuNUfNBClHHXVUzj///BRnsRTnt5S5+huk7L777rn++uvzzW9+MwcffPCiW/fXr2hoqBj25V11HdqT60vWzwdCQJAyEMru0RUCHtpdMY0GQYAAAQIECBAgQIAAAQIEaidQdQO7gOrrjI8777yzcUbKXXfdlalTpzbCkIkTJzYdpDz66KONe1x88cUZMWJE44ySHXfcsVSQUoQmRYBSnK1ShDLLO2dlRRPfnyDlpZdearz9UnxSrPis16qrrtpUkFJ80qwvv2aClE4x7OtfrKrr0J5cX7J+PhACgpSBUHaPrhDw0O6KaTQIAgQIECBAgAABAgQIECBQO4GqG9hLBinTpk1bZFcEFkWAUYQBRXCw77775vTTT2+cE9L76v02RfGmyOjRoxf9uAgg3nzzzUaAsttuuzWCkN6H0fdup2dfZty4cRk/fvyiH82ZMyevvPJK49fbbLNNjj322Bx99NGl57g/Qcoll1ySQw89dJmH3PcOoqr4FQMZKoZ9oVddh/bk+pL184EQEKQMhLJ7dIWAh3ZXTKNBECBAgAABAgQIECBAgACB2glU3cAuoHoHAcuDGzlyZPbee+98/vOfbxwW3/vqHQKsCH7bbbfNiSee2AgklnX17MusqI111103n/jEJ3LKKacsOuy92cnuT5BSfMrr29/+duNsmOKMmN5Xf/2KtoaKYV/WVdehPbm+ZP18IAQEKQOh7B5dIeCh3RXTaBAECBAgQIAAAQIECBAgQKB2AlU3sAuoFX3a64033sivfvWrFIe8X3DBBRkzZkzjjJD9999/kfGKzvd4++238+STTzZCiOI+RXuf+9zncuaZZy41R8s7I6V4M+b5559vnE9S1C3aK0KRq6++OmPHjl2sneITZN/61reWOf/F2zVvvfVW43yV3m/N9C48c+bMperOnTs3q6++el599dU88cQTi870/Md8AAAgAElEQVSK6SnYX78lg5Ti02e939oZaMP+/MtTdR3ak+uPurqtEhCktEpSO10v4KHd9VNsgAQIECBAgAABAgQIECBAoCsFqm5g9xWk9MY68MAD853vfCcTJkxoBAo954Q0c1B60c7Xvva1RYfUF3V23nnnxeaimcPmf/rTn2a77bZLES6cdtpp+cIXvrBYGx//+Mdz0UUXVZ7jBQsWLFX3mmuuyT777JPijZrinJglr2YOmy/qLM+v+FmnGK6xxhrLtCveyDnnnHP6dK26Du3J9UmrwAAICFIGANktukPAQ7s75tEoCBAgQIAAAQIECBAgQIBA3QSqbmAXTs0GAcUbIB/60IcatJdeemkOOeSQxj83GwIUZ50UZ58UYcUxxxyTr3/964tNUzNBSlGhCFKKA9w33njjxtsyzV5VP+113HHHNfr65S9/OaeeeupSt+uvXycZLu/zah/72Mdy4YUX9klddR3ak+uTVoEBEBCkDACyW3SHgId2d8yjURAgQIAAAQIECBAgQIAAgboJVN3ALpyaDQLuv//+bL755g3aM844o3FwfJkQoCg7derUPPfcc8s8tL3ZIOUjH/lILrvsssbnuYqD7Ju9qgQpReizzjrr5Omnn869996bLbbYYqnb9ddvKBn2ZV11HdqT60vWzwdCQJAyEMru0RUCHtpdMY0GQYAAgf4LzJufPDYreea15O35yegRyYxJyRrj+9+2FggQIECAAAECBAi0QaDqBnbRlWaDgOuuuy577bVXo/fFZ55OOOGExj83+0ZKcT7KuHHjUpx5csABB+TKK69cTKLZIGWHHXbIbbfd1jjrpDj3pNmrSpBSvPlSvAGzwQYb5JFHHlnmrfrrN5QM+7Kuug7tyfUl6+cDISBIGQhl9+gKAQ/trphGgyBAgEB1gSI0uee3yR1PJfc/t3g7I4YlH5ievG+t5PdWq34PNQkQIECAAAECBAi0QaDqBnbRlWaDgN7nj9xyyy0pAo0yIUDxaagjjjiiUef000/PKaecsphEM0HKgw8+mK222qrxJsoee+yRItxp9qoSpPzVX/1V4+2bz3zmM/nbv/3bZd6qv35DybAv66rr0J5cX7J+PhACgpSBUHaPrhDw0O6KaTQIAgQIVBN48+3kew8l1z+24vpFoPKxrZJt1652H7UIECBAgAABAgQItEGg6gZ20ZW+goCZM2fm3HPPbYQfxbX99tvn1ltvTc8+Sl9vpBR9u/zyyxtvsMyePbtxSP1DDz2UadOmLSaxoiClOFz+5ptvzvHHH58HHnigUa84s2XvvfduWrNKkPLud7879913X+Otm5133nmZ9+qvX9HoUDHsC7vqOrQn15esnw+EgCBlIJTdoysEPLS7YhoNggABAtUEvv9Q8v1fN1d3+LDkmPcmWyz+H37NVVaKAAECBAgQIECAQOsFqm5gFz3pHQQsGW4Un+N6+eWXF3W4OCPkmmuuyVprrbXo93qHAMXntoqzS3quIgCZNWtW43NexTV58uRcccUVKUKNJa+efZni81/FofQ9V1G36MPcuXMbvzVy5MicffbZjbdEylxlg5TiU14bbbRRVltttTzzzDMZMWLEMm/XX7+i0aFi2Jd31XVoT64vWT8fCAFBykAou0dXCHhod8U0GgQBAgTKCzw1O/nKT5L5C5qvO2NicuL2yahl/8dU8w0pSYAAAQIECBAgQKD/AlU3sIs79w4CluzJqFGjGkFC8Tmtgw46KIcffvhiQcmSIcCS9YvwoXgDZZNNNsk+++yTY489NlOmTFnmgHv2ZZb8YfH7RbgyY8aMxlshRRs9h96XkSsbpBSf8vrsZz/bGPNFF1203Fv1128oGfblXXUd2pPrS9bPB0JAkDIQyu7RFQIe2l0xjQZBgACB8gLXPJz854Pl6/3F+5LNppavpwYBAgQIECBAgACBFgtU3cBucTe6qrmddtqp8Tmx4g2aAw88sKvG1q7BVF2H9uTaNSPaLSMgSCmjpWytBTy0az39Bk+AQF0F3pqX/J8fJ8/NKS+w+4zkwM3K11ODAAECBAgQIECAQIsFqm5gt7gbXdPc888/nzXWWCPFGznFPxdvxLj6Fqi6Du3J9W2rRPsFBCntN3aHLhHw0O6SiTQMAgQIlBGY/WZyyvXlPuvV0/726ySHb1XmbsoSIECAAAECBAgQaItA1Q3stnSmCxp96KGHcskll2T69On58z//8y4Y0cAMoeo6tCc3MPPjLisWEKRYIQSaFPDQbhJKMQIECHSTwKtFkHJD8vbCwy9LXR9YJ/kzQUopM4UJECBAgAABAgTaIlB1A7stndFobQWqrkN7crVdMh01cEFKR02HznSygId2J8+OvhEgQKBNAvPmJ39za/LEy+VvsPdGyYc3Ll9PDQIECBAgQIAAAQItFqi6gd3ibmiu5gJV16E9uZovnA4ZviClQyZCNzpfwEO78+dIDwkQINAWgRsfSy67v3zTn/1AsuHk8vXUIECAAAECBAgQINBigaob2C3uhuZqLlB1HdqTq/nC6ZDhC1I6ZCJ0o/MFPLQ7f470kAABAm0ReH5O8uUfJW+V+LzXu6cmx26bDB/Wli5plAABAgQIECBAgEAZgaob2GXuoSyBvgSqrkN7cn3J+vlACAhSBkLZPbpCwEO7K6bRIAgQIFBN4CdPJJf8orm6K41Mjn9fsoG3UZoDU4oAAQIECBAgQKDdAlU3sNvdL+3XS6DqOrQnV6910qmjFaR06szoV8cJeGh33JToEAECBAZOYP6C5MePJ5fdlyxYwW1XGZ0csU2yyeoD1zd3IkCAAAECBAgQINCHQNUNbLAEWilQdR3ak2vlLGirqoAgpaqcerUT8NCu3ZQbMAECBJYW+PULyb3PLAxVen/qa7WVkh3XS7aclqwxnhwBAgQIECBAgACBjhKouoHdUYPQmSEvUHUd2pMb8lPfFQMQpHTFNBrEQAh4aA+EsnsQIEBgiAgU56Y891ry1rxkzMhk+oRk5VFDpPO6SYAAAQIECBAgUDeBqhvYdXMy3vYKVF2H9uTaOy9ab05AkNKck1IE4qFtERAgQIAAAQIECBAgQIAAAQJDUaDqBvZQHKs+d65A1XVoT65z57ROPROk1Gm2jbVfAh7a/eJTmQABAgQIECBAgAABAgQIEBgkgaob2IPUXbftUoGq69CeXJcuiCE2LEHKEJsw3R08AQ/twbN3ZwIECBAgQIAAAQIECBAgQKC6QNUN7Op3VJPA0gJV16E9OaupEwQEKZ0wC/owJAQ8tIfENOlkGwVmv55c+WByz8zkzbeT4cOStVZJ9tsk2WJqG2+saQIECBAgQIAAAQIECBDol0DVDex+3VRlAksIVF2H9uQspU4QEKR0wizow5AQ8NAeEtOkk20S+Ic7kuseTX7x7NI3mDQ2+YP1k49vnWw5rU0d0CwBAgQIECBAgAABAgQIVBaouoFd+YYqEliGQNV1aE/OcuoEAUFKJ8yCPgwJAQ/tITFNOtkGgS//KLngZ8mCPtrefErypZ2S96/Thk5okgABAgQIECBAgAABAgQqC1TdwK58QxUJCFKsgS4TEKR02YQaTvsEBCnts9Vy5wr8/e3J39/Rd4jSM4L3rZX88x8mk1bu3DHpGQECBAgQIECAAAECBOomIEip24x35nirrkN7cp05n3XrlSClbjNuvJUFPLQr06k4RAVeeC05+Mrk1y+WG8Bf/X5y9HvL1VGaAAECBAgQIECAAAECBNonUHUDu309Gtotf+lLX8ppp522zEGstNJKWXvttbPDDjvkmGOOafx9yeumm27Krrvuusz6o0ePzpQpU7L11lvnsMMOy8EHH5yePaklKyzv90eMGJGJEydm0003zX777Zfjjjsu48aNG3T0quvQntygT50OJMW/h8MKiGELFizo66stwAjUWsBDu9bTX8vBf+Pu5IyflB/6HjOS8z9cvp4aBAgQIECAAAECBAgQINAegaob2O3pzdBvtXeQMm3aO4eFzp8/Py+++GLmzZu3aJBf/OIXU5TvffUOUiZNmpQiPOm5Zs2alblz5y769V577ZWrrroqY8aMWQquZ6+qCEnGjx+/6OfFfL/66quLfj1jxozccMMNWX/99QcVv+o6tCc3qNPm5r8TEKRYCgSaFPDQbhJKsa4ROP6/ku/9uvxwxoxI/vPgZJMp5euqQYAAAQIECBAgQIAAAQKtF6i6gd36niR5/a3k+TnJm/OS4j8gV185WWlUW27VrkZ7BylL/tn0IkS5/fbb8+lPfzp33313owu33HLLYm+m9A5Sbrzxxuyyyy6Lulq098gjj6QIYC655JLG759xxhk5+eSTlxpOz17VssKaF154Id/4xjdy6qmnpmhzzz33zLXXXtsukqbarboO7ck1xatQmwUEKW0G1nz3CHhod89cGklzAn/+n8kPH2uu7JKlLt4v2Wlw/6BLtY6rRYAAAQIECBAgQIAAgS4UqLqB3TKK4kM4//NS8uPHk7t/m7w9/52mRw5Ptl0r2XHdZP2JxfdzWnbbdjW0oiCl556/+c1vMn369MYvTzrppJx11lmLurOiIKWnUBHIbLbZZnnooYfy/ve/P3fcccdSw1lRkNJT+Mgjj8wFF1yQ4cOHZ/bs2YP6ia+q69CeXLtWsnbLCAhSymgpW2sBD+1aT38tB3/Ud5PrHq029MsPSt63drW6ahEgQIAAAQIECBAgQIBAawWqbmC3pBdvvJ38yz3JL57tu7ktpiZHbJOMHdl32UEs0UyQUnRv9dVXT/FmyCc/+cmcd955i3rcTJBSFD7ooINyxRVXNAKV++67b6kRNxOknHvuufnUpz7VqPvss882zl8ZrKvqOrQnN1gz5r69BQQp1gOBJgU8tJuEUqxrBE7+YXLJ0v8/rc/xrT8hKYKUKe98nrXPOgoQIECAAAECBAgQIECAQPsEqm5g97tHRYjy97cnT7zcfFPrTkhO3L6jw5RmgpSnnnoq66yzTmPc55xzTk444YRFBs0EKcV5K0WA8uCDD+aAAw7IlVdeuZRhM0HKUUcdlfPPPz/FWSzF+S2DeVVdh/bkBnPW3LtHQJBiLRBoUsBDu0koxbpG4Kb/SY7+3sLP1pa5Pvru5Cu7lamhLAECBAgQIECAAAECBAi0U6DqBna/+lR8zuvr/93cmyhL3qh4M+XYbTv2M199nZFy5513Ns5IueuuuzJ16tRGGDJx4sRFo+wrSHn00UcbB9RffPHFGTFiRIpzVHbcccelpmNFQUoRmhQBSnG2ShHKLO+clX7NccnKVdehPbmS0Iq3RUCQ0hZWjXajgId2N86qMfUlUAQp1z7SV6l3fl68fX3+HyU7rtd8HSUJECBAgAABAgQIECBAoL0CVTew+9Wrx2Ylf3Nr9SZO+uDCM1M68OodpEybNm1RD4vAoggwivNNVl111ey77745/fTTs956i/9Hcu8gpXhTZPTo0YvaeOmll/Lmm282ApTddtutEYT0Poy+N0fPXtW4ceMyfvw7n4WYM2dOXnnllUbRbbbZJscee2yOPvroQZesug7tyQ361OlAilx34QFOwxYsKGJiFwECyxPw0LY26ihQvJVy6o3Jk7P7Hn3xvyYnbrfwDWwXAQIECBAgQIAAAQIECHSOQNUN7H6N4KKfJXc8Vb2J7ddJDt+qev021uwdpCzvNiNHjszee++dz3/+843D4ntfvYOUFXVz2223zYknnphDDz10mcV69qpW1Ma6666bT3ziEznllFMyatSoNqr03XTVdWhPrm9bJdovIEhpv7E7dImAh3aXTKRhlBa49uHkb25Lfr2CT6mOGZEc+97kf32gdPMqECBAgAABAgQIECBAgECbBapuYFfu1utvJZ/7YfL2/MpNZOTw5Kzdk5UGd/N/WQNY0ae93njjjfzqV79Kccj7BRdckDFjxuSb3/xm9t9//0VNrejTXm+//XaefPLJfPvb32583qto73Of+1zOPPPMpbqyvE97FW/GPP/887n++usbdYv2irdarr766owdO7b6nPSzZtV1aE+un/Cqt0RAkNISRo3UQcBDuw6zbIzLE3jkxeSKB5K7nl74V88rjGuNT3ZcN9ljw2SPDfgRaK9A8d9g9z6T/PaVZN6CZNLYZJs1k/HvvAXf3g5onQABAgQIECBAgMAQFai6gV15uE++nHzlJ5WrL6p4yo7JOqv2v50Wt9DMYfPFLQ888MB85zvfyYQJE/LEE080PvdVXH2dkdLT3a997WuLDqkv6uy8886LjaSZw+Z/+tOfZrvttksR0Jx22mn5whe+sKiNNdZYY5kyBx98cM4555wWqyVV16E9uZZPhQYrCAhSKqCpUk8BD+16zrtRLy4wb15y61PJrNeTsSOSjVdP1uvMT9aaui4SePXN5LpHk/94MPnR44sP7PcmJ3/67mSfDZO1Ou+/r7poFgyFwAAKFH+CdearyVvzk1HDk2njk5U770+iDqCIWxEgQIAAgX4LVN3Arnzjh19M/va2ytUXVSw+e7DR5P630+IWmg1SijdAPvShDzXufumll+aQQw5p/HOzQUpx1klx9klxIsMxxxyTr3/964uNpJkgpahQBCl33nlnNt5448bbMj3X8j4N9rGPfSwXXnhhi9UEKS0H1eCACghSBpTbzYaygCBlKM+evrdT4O6nk+8/nLz0+sI3VSavlPzh7yXvWbOdd9V2XQSen5P89Y+Sqx5a8Yg3Wz352z2TTafURcY4CXShwLOvJffOTG55MnnmtXcGWPwPS/H645bTkjVX6cKBGxIBAgQIEGi/wIAHKd5IaUzq/fffn80337zxz2eccUbj4PjiajZIKcpOnTo1zz33XPbcc89ce+21iy2WZoOUj3zkI7nssssah9oXB9kP1lV1HdqTG6wZc9/eAoIU64FAkwIe2k1CKVYbgeLslO/+OikOpH9l7uLDXnV0ssv6yYfftfCzXx11zV+QPDYr+c3s5K15yagRyfQJyfoTk+HDOqqrde9M8YfST7k+ufLB5iQ2WS35pz/yllRzWkoR6DCBB55L/r97ktfeWn7HilchP751suWyP0HRYSPSHQIECBAg0FECVTewKw+iFWekFG+mnjn0zkjpbXbddddlr732avxW8amsE044ofHPzQYpxfko48aNS3HmyQEHHJArr7xysSlpNkjZYYcdctttt2XSpEl58cUVHIBaecKbq1h1HdqTa85XqfYKCFLa66v1LhLw0O6iyTSUfgtccf/CA+h/++qKm1p7leR/fyA5cNN+37L/DRQBys9mJrc/mfzyuaXbe/fU5APrJFutIVDpv3ZLWrjm4eSY75dr6jPbJSduX66O0gQIDLLAr19IzrszmdvEYbQjhiXHbptsPnWQO+32BAgQIEBgaAlU3cDu1ygv+llyx1PVm9h+neTwrarXb2PNZj/t9fGPfzwXXXRRoye33HJLikCjuJoNUorPax1xxBGNOqeffnpOOeWUxUbVTJDy4IMPZquttmq8ibLHHnukCHcG66q6Du3JDdaMuW9vAUGK9UCgSQEP7SahFOt6geINlJOvT57uI0TpgVhnleQruyU7rTeINPPmJ9c+knyvj+9DFV3cb+Nk9w2SEcMHscNuvWBB8qmrF771VOZafaXk2sOS1VcuU0tZAgQGTWDuvOTvbksef7n5LkxZOfncB5OVRzdfR0kCBAgQIFBzgaob2P1iK74E8De3Vm/ipA8u/HJAB159BSkzZ87Mueee2wg/imv77bfPrbfemp69pb6ClGK+Lr/88sYbLLNnz24cUv/QQw9l2rRpi2msKEgpDpe/+eabc/zxx+eBBx5o1CvObNl7770HTbTqOrQnN2hT5sa9BAQplgOBJgU8tJuEUqzrBf7yB8m37y83zIM3T87evVydlpb+8ePJN3/ZfJPF6eU7Dmby03xXu7Xkgy8ke/3bwnN3yl7/sFey3yZlaylPgMCgCNz3bHLeXeVvfeR7HMZVXk0NAgQIEKixQNUN7H6RFX866uv/nfzi2fLNbDF14Vuowzrz88u9g5Qlw43ic1wvv/zOHxLZYostcs0112SttdZa5NA7SCk+t1WcXdJzFQHIrFmzGp/zKq7JkyfniiuuyC677LKUY89eVfH5r+JQ+p6rqFv0Ye7chd/hHjlyZM4+++x85jOfKT8XLaxRdR3ak2vhJGiqsoAgpTKdinUT8NCu24wb77IEHn4++eh/LH4GcDNSxSe+/v2AZMakZkq3uMxLbyRf/lHy+tvNNzxuVHLqTsmEsc3XUbKlArc+mfzp4p//bbr9z++YFHusLgIEhoDAt3+Z3PR4+Y5uu1byiW3K11ODAAECBAjUVKDqBna/ud54O/n725MnSrx9uu6Ehd/rHTuy37dvVwO9g5Ql7zFq1Kisttpqjc9pHXTQQTn88MMXC0qK8r2DlCXrjxgxovEGyiabbJJ99tknxx57bKZMmbLMofTsVS35w+L3i3BlxowZ2XnnnRtt9Bx63y6TZtqtug7tyTWjq0y7BQQp7RbWftcIeGh3zVQaSD8E/uHO5Ku3VWvg/9khOe591er2q9ZPnkgu+UX5Jg7bItlh3fL11GiJwC1PJB/9TrWmBCnV3NQiMCgC59yeFK+glb2mjku+uHPH/inVssNRngABAgQItFug6gZ2S/pVhCn/ck9zb6YUb6IcsU1HhygtMalpI1XXoT25mi6YDhu2IKXDJkR3OlfAQ7tz50bPBk7gyz9Ozr+n2v2O3ib5q52q1e1XreJV8nufKd/Ee9ZIjnxv+XpqtETgV88le19S7dNe5+yV7O/TXi2ZB40QaLvAV29NHplV/jaTxyZ//QfJ8M783Ef5AalBgAABAgTaK1B1A7tlvSo+81WciVZ8dvm/n07eXvjZqsY1anjy3rUWHqy53gR/UKJl6J3XUNV1aE+u8+ayjj0SpNRx1o25koCHdiU2lYawwFvzFv4h4dlvJiOHJ2uukvzrz5J/qhikHPve5OTfHwSQ024q/y2yopvrrJqcsuMgdNgtC4Hiv7M++V/Jfz1czmPi2OQHhyZT3/k8cLkGlCZAYGAFLvxZcudT5e+5yerJCduVr6cGAQIECBCoqUDVDey2cL3+VvLC60nxpkrx+a7VVkpWGtWWW2m0swSqrkN7cp01j3XtjSClrjNv3KUFPLRLk6kwRAWen5Pc+Fhy5a+SW3/zziDGjEgO3zL554pByhl/kBy6xSCgnP7j5KlXyt94/QnJSYOR/JTvarfW+P6vF4YpZa4T3p989gNlaihLgMCgCtz+ZPKv95bvwsGbJzuvX76eGgQIECBAoKYCVTewa8pl2G0SqLoO7cm1aUI0W0pAkFKKS+E6C3ho13n26zP2X7+QnPTD5Kczlz3mKSsnq6+cPPB8OZOtpyX/fmAyfnS5ei0pfdHPkjsq/GnnD05PDt2yJV3QSDWB1+YuXI/f+3Vz9TeclJy/b7LBpObKK0WAQAcIvPJm8n9+nLwyt/nOjB6RnLrTwv9BchEgQIAAAQJNCVTdwG6qcYUINClQdR3ak2sSWLG2CghS2sqr8W4S8NDuptk0lmUJPPFycsz3kvv7CEl2Wjf58RPlDI9+T/JXg/WVrHt+m/zzT8t1uCh9zHuTrdYoX0+Nlgo8+1ryhZuSq/v4xNe7Jid/u1dSnE3pIkBgiAn85PHkkl823+kDN0l237D58koSIECAAAECqbqBjY5AKwWqrkN7cq2cBW1VFRCkVJVTr3YCHtq1m/LaDfjsW5Lz/rvvYa+zSrLaysnPmzy//QPrJP/vbsk6E/tuuy0liu/v/s2tycxXm29+rfHJ/94hGes7vc2jta9kcU5PEaRcfn9y59OL32fdVRd+Mu5Dv5esO6F9fdAyAQJtFJg3P/nho8lVD/Z9k702XPgv/KgRfZdVggABAgQIEFgkUHUDGyGBVgpUXYf25Fo5C9qqKiBIqSqnXu0EPLRrN+W1GnCRMexxcTK7yS+rbDQpWWVMcs9yPgHWg/fBdRYeML/FtEHmvO/Z5Ov/ncxb0HdHRg5Pjts22XRK32WVGFCBufOSn/52YSZWTOWkscl710wmjB3QbrgZAQLtEJi/IPnZzOTWJ5P7n1v6Du9aLdlh+sJ/6UcMb0cPtEmAAAECBLpaoOoGdlejGNyAC1Rdh/bkBnyq3HAZAoIUy4JAkwIe2k1CKTYkBb5138KzKMpc08Ylm01JFixY+KmvYg+suIYPS3ZYJ3n/2klxFvAa48u02sayP5+ZFOelvDFv+TcZOyI5YpsOSH7a6KBpAgQIdLJA8XbKY7OSJ2cnRXpavHmy9irJhpOTIuh2ESBAgAABApUEqm5gV7qZSgSWI1B1HdqTs6Q6QUCQ0gmzoA9DQsBDe0hMk05WFPj725O/u6Na5as/mjz1cvLU776ctc6qye4bVGur7bWefiW595nkx/+TvPTmO7ebvFKy47rJltOSNVdpezfcgAABAgQIECBAgAABAgMpUHUDeyD76F7dL1B1HdqT6/61MRRGKEgZCrOkjx0h4KHdEdOgE20S+OptyT/cWa3x7x6cbDnUzmR/de7C70O99bs/7bzm+GTc6GoAahEgQIAAAQIECBAgQKDDBapuYHf4sHRviAlUXYf25IbYRHdpdwUpXTqxhtV6AQ/t1ptqsXMELrgn+esfl+9P8Rmvmw5P1husg+TLd1kNAgQIECBAgAABAgQI1E6g6gZ27aAMuK0CVdehPbm2TovGmxQQpDQJpRgBD21roJsFHng++cNLmjuLvbfDgZskf7dXN8sYGwECBAgQIECAAAECBIa+QNUN7KE/ciPoJIGq69CeXCfNYn37Ikip79wbeUkBD+2SYIoPOYHPXpdc/kC5bp+/b7JHp56HUm4oShMgQIAAAQIECBAgQKBrBapuYHctiIENikDVdWhPblCmy02XEBCkWBIEmhTw0G4SSrEhK/DfTyeH/0fy2lvNDWHvDVfKMpgAACAASURBVBa+jbKyo0WaA1OKAAECBAgQIECAAAECgyRQdQN7kLrrtl0qUHUd2pPr0gUxxIYlSBliE6a7gyfgoT149u48cAI3PJb8xdV9hym7rJecuVuy5ioD1zd3IkCAAAECBAgQIECAAIFqAlU3sKvdTS0Cyxaoug7tyVlRnSAgSOmEWdCHISHgoT0kpkknWyDw098mVz6QfOv+ZO68xRvcYFLyp+9ODtokmbxyC26mCQIECBAgQIAAAQIECBBou0DVDey2d8wNaiVQdR3ak6vVMunYwQpSOnZqdKzTBDy0O21G9KfdAo++mNzxVPLym8nI4ck6qyYfnJ6sMqbdd9Y+AQIECBAgQIAAAQIECLRSoOoGdiv7oC0CVdehPTlrpxMEBCmdMAv6MCQEPLSHxDTpJAECBAgQIECAAAECBAgQILCEQNUNbJDLFvjSl76U0047bZk/XGmllbL22mtnhx12yDHHHNP4+5LXTTfdlF133XWZ9UePHp0pU6Zk6623zmGHHZaDDz44PXtSS1ZY3u+PGDEiEydOzKabbpr99tsvxx13XMaNGzfo01l1HdqTG/Sp04Gk+PdwWAExbMGCBQuIECCwfAEPbauDAAECBAgQIECAAAECBAgQGIoCVTewh+JYB6LPvYOUadOmLbrl/Pnz8+KLL2bevHe+k/3FL34xRfneV+8gZdKkSSnCk55r1qxZmTt37qJf77XXXrnqqqsyZszSn4fo2asqQpLx48cvqlPM96uvvrro1zNmzMgNN9yQ9ddffyB4lnuPquvQntygTpub/05AkGIpEGhSwEO7SSjFCBAgQIAAAQIECBAgQIAAgY4SqLqB3VGD6KDO9A5Slvyz6UWIcvvtt+fTn/507r777kavb7nllsXeTOkdpNx4443ZZZddFo2uaO+RRx5JEcBccskljd8/44wzcvLJJy8l0LNXtayw5oUXXsg3vvGNnHrqqSna3HPPPXPttdeWUiz69aMf/ShL9rFUI70KV12H9uSqiqvXSgFBSis1tdXVAh7aXT29BkeAAAECBAgQIECAAAECBLpWoOoGdjtAXnkzeWJ28trcZNzoZN1Vh95ZnCsKUnrMfvOb32T69OmNX5500kk566yzFnGuKEjpKVQEMptttlkeeuihvP/9788dd9xRKkjpKXzkkUfmggsuyPDhwzN79uxSn/gSpLTj3wBtDlUBQcpQnTn9HnABQcqAk7shAQIECBAgQIAAAQIECBAg0AKBwQ5SigMFfvZMcvG9yfceSt5858tXGTMi2fddyWFbJltPK84haMGA29xEM0FK0YXVV189xZshn/zkJ3PeeeeVClKKwgcddFCuuOKKRqBy3333VQpSzj333HzqU59q1H322Wcb5680ewlSmpVSrg4CgpQ6zLIxtkRAkNISRo0QIECAAAECBAgQIECAAAECAywwmEHKq3OTT1+T/PCxvge9+4zknL2T8e8cGdJ3pUEo0UyQ8tRTT2WdddZp9O6cc87JCSecsKinzbyRUpy3UgQoDz74YA444IBceeWVS410RZ/26il81FFH5fzzz09xFktxfkuZS5BSRkvZbhcQpHT7DBtfywQEKS2j1BABAgQIECBAgAABAgQIECAwgAKDFaQUIcqfXpHc+2zzg91yanLpH3d2mNLXGSl33nln44yUu+66K1OnTm2EIRMnTmw6SHn00UcbB9RffPHFGTFiROOMkh133LFUkFKEJkWAUpytUoQyyztnZUUzI0hpft0q2f0CgpTun2MjbJGAIKVFkJohQIAAAQIECBAgQIAAAQIEBlRgMIKU4nNeR363uTdRlsQo3kw5f9/O/cxX7yBl2rRpi7pfBBZFgFGcb7Lqqqtm3333zemnn5711ltvsSH2fiOleFNk9Oh3XsF56aWX8uabbzYClN12260RhPQ+jL53Qz17VePGjcv48eMX/WjOnDl55ZVXGr/eZpttcuyxx+boo48uveYEKaXJVOhiAUFKF0+uobVWQJDSWk+tESBAgAABAgQIECBAgAABAgMjMBhByj0zk/2/VX18Vx2cbL1G9frtrNk7SFnefUaOHJm99947n//85xuHxfe+egcpK+rntttumxNPPDGHHnroMov17FWtqI111103n/jEJ3LKKadk1KhRpVgEKaW4FO5yAUFKl0+w4bVOQJDSOkstESBAgAABAgQIECBAgAABAgMnMBhByv+6LrnigepjPGjT5Kt7Vq/fzpor+rTXG2+8kV/96lcpDnm/4IILMmbMmHzzm9/M/vvvv6hLKzoj5e23386TTz6Zb3/7243PexXtfe5zn8uZZ5651JCWd0ZK8WbM888/n+uvv75Rt2ivCEWuvvrqjB07drF2ik+Qfetby068irdr3nrrrcb5Kr3fmundwMyZM5umrroO7ck1TaxgGwUEKW3E1XR3CXhod9d8Gg0BAgQIECBAgAABAgQIEKiLQNUN7Ko+r7yZvPefkzfnVW0hGTMiufuoZJUx1dtoV81mDpsv7n3ggQfmO9/5TiZMmJAnnnii8bmv4mrmsPmi3Ne+9rVFh9QXdXbeeefFhtTMYfM//elPs91226UIaE477bR84QtfWKyNj3/847nooosqUy0ovuHW5FV1HdqTaxJYsbYKCFLayqvxbhLw0O6m2TQWAgQIECBAgAABAgQIECBQH4GqG9hVhe57LvnQJVVrv1Pv6o8mm03pfzutbqHZIKV4A+RDH/pQ4/aXXnppDjnkkMY/NxukFGedFGefFGHFMccck69//euLDaWZIKWoUAQpd955ZzbeeOPG2zLNXj7t1ayUcnUQEKTUYZaNsSUCgpSWMGqEAAECBAgQIECAAAECBAgQGGCBgQ5S7nwq+ZPL+z/Iyw9K3rd2/9tpdQvNBin3339/Nt9888btzzjjjMbB8cXVbJBSlJ06dWqee+657Lnnnrn22msXG0qzQcpHPvKRXHbZZY3PcxUH2Td7CVKalVKuDgKClDrMsjG2RECQ0hJGjRAgQIAAAQIECBAgQIAAAQIDLDDQQYo3UhZO8HXXXZe99tqr8c/nnHPOYp/p2nXXXRu/f+ONNzbOL1nWVZyPMm7cuBRnnhxwwAG58sorFyvWbJCyww475LbbbmucdVKce9LsJUhpVkq5OggIUuowy8bYEgFBSksYNUJgkcCTLye3/CaZ9XoyfFiyxvjk96cnq60MiQABAgQIECBAgAABAgRaKTDQQYozUhbOXu/zR2655ZYUgUZxNftGyoUXXpgjjjiiUef000/PKaecstiyaCZIefDBB7PVVls13kTZY489GuFOs5cgpVkp5eogIEipwywbY0sEBCktYdQIgTzwXHLFA8nFv0jeeHtxkKkrJ4dtmfzJZslaq8AiQIAAAQIECBAgQIAAgVYIDHSQUvT5f1238L/9ql4HbZp8dc+qtdtbr69Pe82cOTPnnntuI/woru233z633nprevaW+gpSivm6/PLLG2+wzJ49u3FI/UMPPZRp06YtNrAVBSnF4fI333xzjj/++DzwwMKJKM5s2XvvvZvGEaQ0TaVgDQQEKTWYZENsjYAgpTWOWqm3wB2/Sf7i6uTZOSt22Hrawv/DvNHkensZPQECBAgQIECAAAECBFohMBhByj0zk/2/Vb33Vx2cbL1G9frtrNk7SFky3Cg+x/Xyyy8vuv0WW2yRa665Jmuttdai3+sdpBSf2yrOLum5igBk1qxZjc95FdfkyZNzxRVXLPPzXz17VcXnv4pD6Xuuom7Rh7lz5zZ+a+TIkTn77LPzmc98phSLIKUUl8JdLiBI6fIJNrzWCQhSWmeppXoK/Or55GP/kcx8rbnxb7tm8o0/TFYf11x5pQgQIECAAAECBAgQIEBg2QKDEaQsWJAc+d3kh4+Vn5XdZyTn75sMG1a+7kDU6B2kLHm/UaNGZbXVVmt8Tuuggw7K4YcfvlhQUpTvHaQsWX/EiBGNN1A22WST7LPPPjn22GMzZcqUZQ6rZ69qyR8Wv1+EKzNmzMjOO+/caKPn0PsyPoKUMlrKdruAIKXbZ9j4WiYgSGkZpYZqKnDmT5J/vLvc4M/eLTn43eXqKE2AAAECBAgQIECAAAECiwsMRpBS9ODVucmfXpHc+2zzM7Ll1OTSP07Gv/OSRvOVlexogarr0J5cR09rbTonSKnNVBtofwU8tPsrqH6dBX77SrL7xcmrb5VTeP9ayb8fmIweUa6e0gQIECBAgAABAgQIECDwjkDVDexWGBZhyqevae7NlOJNlHP2FqK0wr0T26i6Du3JdeJs1q9PgpT6zbkRVxTw0K4IpxqBJN95IDnxumoU/3Fwsk2Hfhe32ojUIkCAAAECBAgQIECAwMAKVN3AblUvi898/fyZ5OJ7k+8+lLw5752Wx4xIPvyu5LAtk62mde7nvFplUed2qq5De3J1XjWdM3ZBSufMhZ50uICHdodPkO51tMCFP0++eFO1Ll60X7LL+tXqqkWAAAECBAgQIECAAAECSdUN7HbYvfJm8uTs5LW5ybjRyfRVk1XGtONO2uw0garr0J5cp81kPfsjSKnnvBt1BQEP7QpoqhD4ncC//jz5fMUg5eIDkp3WRUmAAAECBAgQIECAAAECVQWqbmBXvZ96BJYlUHUd2pOznjpBQJDSCbOgD0NCwEN7SEyTTnaowA8fTf78u+U7N2JYcu1hye9NLl9XDQIECBAgQIAAAQIECBBYKFB1A5sfgVYKVF2H9uRaOQvaqiogSKkqp17tBDy0azflBtxCgeJwwf2+lTz8YrlGD9ok+epe5eooTYAAAQIECBAgQIAAAQKLC1TdwOZIoJUCVdehPblWzoK2qgoIUqrKqVc7AQ/t2k25AbdY4IJ7kr/+cblGL9g32X2DcnWUJkCAAAECBAgQIECAAAFBijXQeQKClM6bEz1qXkCQ0ryVkjUXEKTUfAEYfr8FXpiTfOba5EdPNNfUJ7ZO/p8PJmNGNldeKQIECBAgQIAAAQIECBBYtkDVDWyeBFopUHUd2pNr5Sxoq6qAIKWqnHq1E/DQrt2UG3AbBJ5+Jfn8jckPH1tx40WI8pntk1XHtKETmiRAgAABAgQIECBAgEDNBKpuYNeMyXDbLFB1HdqTa/PEaL4pAUFKU0wKEUg8tK0CAq0RmP1m8uPHk/98MLn20XfaHDU8+ZPNkr03TD4wPRk9otz9bnkiefCF5K35yeSxCz8JNmmlcm0oTYAAAQIECBAgQIAAgW4UmDNnTh5//PHG0KZPn57x48d34zCNqcMFXn311Tz55JONXq6//vpZaaXm/qPdnlyHT2xNuidIqclEG2b/BTy0+2+oBQK9BeYvSB56IXnpjWT4sGTquGT9ieWM5s1LLv5FcuuTyU2PJ5PGJrttkLw4J3lz3sJ2i7daPjg9OWDjZETJcKZcb5QmQIAAAQIECBAgQIBAZwq89dZbefjhhxudW3311TNlypTO7KhedbXAc889l+eff74xxo022iijRo1qarz25JpiUqjNAoKUNgNrvnsEPLS7Zy6NpDsEZs1Jzrgl+fb9C8dz2BYL30i56+mlxzcsyXZrJwdskhzy7u4Yv1EQIECAAAECBAgQIECgjMBjjz2WN954IyNHjsyMGTMaf3cRGCiBt99+O8UaLP4+duzYxhps9rIn16yUcu0UEKS0U1fbXSXgod1V02kwQ1ygeBPl5BuSb/0uRDli6+Rb9yVz3lrxwFYZnXx2++SIbYY4gO4TIECAAAECBAgQIECgpMCLL76YZ555plGrCFEmTpzY+LRSz35HyeYUJ9CUwIIFC/L666/npZdeaoQoxTVt2rRMnjy5qfpFIXtyTVMp2EYBQUobcTXdXQIe2t01n0YztAUuuy/5yx8mC5J8ZLPk6oeTV+Y2N6aJY5Mz/iD5w99rrrxSBAgQIECAAAECBAgQ6AaBYkN75syZjQ1tF4HBEigCvDXWWKNUgGdPbrBmy317CwhSrAcCTQp4aDcJpRiBARA44erkqocW3mifDZOrHyl30wM3Sf5ur3J1lCZAgAABAgQIECBAgMBQFyjClFmzZuXll19ufObLRWCgBIrPeU2YMCGTJk0qFaIU/bMnN1Cz5D4rEhCkWB8EmhTw0G4SSjECbRa4/7nkkCuSl99M9t84uf6x5t9G6ena5JWSf9s/2XxqmzureQIECBAgQIAAAQIECHSoQHEAffGppfnz53doD3WrGwSGDx/e+JRcswfLL2vM9uS6YSUM/TEIUob+HBrBAAl4aA8QtNsQ6EPg+w8ln7x6YaHizZIrf1WNrDgr5YTtqtVViwABAgQIECBAgAABAgQIEBgYAXtyA+PsLisWEKRYIQSaFPDQbhJKMQJtFvjug8lfXLPwJh9+V/Kfv/vEV9nbHvOe5JQdy9ZSngABAgQIECBAgAABAgQIEBhIAXtyA6ntXssTEKRYGwSaFPDQbhJKMQJtFrjxseSo7yVvzU/2e9c7Z6WUve3x2yYnfbBsLeUJECBAgAABAgQIECBAgACBgRSwJzeQ2u4lSLEGCPRTwEO7n4CqE2iRwFk/Se6emdzxVPLRdyeX/LJ8w8OHJX+/Z7LfJuXrqkGAAAECBAgQIECAAAECBAgMnIA9uYGzdqflC3gjxeog0KSAh3aTUIoRaKPA3HnJn1yWjB+T/OSJZI1xyfQJyV1Pl7vp709P/v3AcnWUJkCAAAECBAgQIECAAAECBAZewJ7cwJu749ICghSrgkCTAh7aTUIpRqCNAg+/kPzRN5NVxiRrjk9+/kzykc2Sb99f7qb/a/vk0w6aL4emNAECBAgQIECAAAECBAgQGAQBe3KDgO6WSwkIUiwKAk0KeGg3CaUYgTYK3PfswiBl/oLk9yYnY0Ykr85N3rVact2jzd24OFflrN2SlUY3V14pAgQIECBAgAABAgQIECBAYPAE7MkNnr07vyMgSLEaCDQp4KHdJJRiBNooMHN2ss83kxdfX3iT9SYk605IRgxLxo1K/uvhZMFy7l+ci/LHmyaf2yGZMq6NndQ0AQIECBAgQIAAAQIECBAg0DIBe3Ito9RQPwQEKf3AU7VeAh7a9Zpvo+1cgWO/l1z9yOL9W39isvGkZMPVkt/MTm5+Ipn1xsIyq62UfGDtZKs1kqPf27nj0jMCBAgQIECAAAECBAgQIEBgaQF7clZFJwgIUjphFvShIXDmmWfm5JNPXqSxYMHy/lx58sorr+SrX/1qrrjiijz22GMZMWJE3vWud+WQQw7Jpz71qYwe3fpv9nhoW6gEOkPgop8lX/jRivuyz4bJaisnxWPkuTnJvc8m/75fstHqnTEGvSBAgAABAgQIECBAgAABAgSaE7An15yTUu0VEKS011frTQo8+OCD2XrrrfPGG7/7I+QpNkCXHaQ8/vjj2WWXXfI///M/jdZXXnnlzJs3L2+++Wbj19tss02uv/76TJo0qcm7N1fMQ7s5J6UItFugOBPlqO8mt/6m+TsduU3y+Z2aL68kAQIECBAgQIAAAQIECBAg0BkC9uQ6Yx7q3gtBSt1XQAeMf/78+dlxxx1z66235gMf+EBuu+22Rq+WFaS8/fbbec973pNf/OIXWXPNNfOv//qv2X333VO0cdlll+Woo45qvK3yoQ99KN///vdbOjoP7ZZyaoxAvwT++6mFb6Xc91zfzRy4SXLaTsmqK/VdVgkCBAgQIECAAAECBAgQIECgswTsyXXWfNS1N4KUus58B437nHPOyYknnphDDz00G220UU477bTlBikXXHBBjjzyyMbPe4KX3kO59NJL89GPfrTxWz/84Q+z2267tWykHtoto9QQgZYI3PtM8i/3JD94LHll7tJNrrtqsvdGyae3S8aX+Nrf2/OTp19JXn8rGTMyWXP8wr+7CBAgQIAAAQIECBAgQIAAgYEXsCc38ObuuLSAIMWqGFSB4nyTLbbYImPHjs0DDzyQ8847b4VByk477ZSbb745u+66a2644Yal+l68xbLhhhs2zk05/PDDc9FFF7VsfB7aLaPUEIGWCtz9dPLdh5LfvpLMW5CMHpG8a7XkjzdJpk9s/lYvzEluejz5j18lP37inXrbrpn88WbJH6yfrDG++faUJECAAAECBAgQIECAAAECBPovYE+u/4Za6L+AIKX/hlroh0DxWa7iPJMi8CiCjy996UvLDVLmzJmTVVZZpfEZr7PPPjt/+Zd/ucw7f/KTn8w//uM/Zo011shvf/vbfvRu8aoe2i2j1NAgC8x8Nbnxf5Jfv5DMnZ+MG5W8Z83kg9PLvbkxyMNo6e3v+W3y2R8kj8xafrNFiPJ3eyY7TG/prTVGgAABAgQIECBAgAABAgQIrEDAnpzl0QkCgpROmIWa9uGf//mfc/TRRzfOOPnBD37QUFhRkHL33Xdn2223bZT7r//6r+yzzz7LlPu///f/5vjjj2/87IUXXsjkyZNbIuyh3RJGjQyiwPOvJRfdm1z4s2T2Mj6FtdHk5Khtkj/eNBk1YhA7OsC3/uWzyRFXJc/O6fvGK49MLtw/2W7tvssqQYAAAQIECBAgQIAAAQIECPRfwJ5c/w210H8BQUr/DbVQQeCpp57K5ptvnrlz5+aXv/xlNthgg0YrKwpSvvvd7+bDH/5wo9zPf/7zbLnllsu881VXXZX999+/8bPiUPp3v/vdFXq4dBUP7ZYwamSQBIq3UP73D5Kbe32yanld+Yv3JSduV48wpTgP5c//c+EnvZq9NlktueJPkvFjmq2hHAECBAgQIECAAAECBAgQIFBVwJ5cVTn1WikgSGmlpraaFvijP/qjfP/7389ZZ52Vk046aVG9FQUpl1xySeNA+uL69a9/3TiYfllX8XbLnnvu2fjRsg6kX14nex7KfQ2iOIfFRWAoCRRhQRGifOdXzff6jF2TQ5edVTbfyBAoeedTyZ9cXr6j//RHyV4blq+nBgECBAgQIECAAAECBAgQIFBOQJBSzkvp9ggIUtrjqtUVCPzbv/1b/uzP/ixbb7117rrrrowcOXJRaUGKpUOg9QJVwoLpqybfOySZuFLr+9NJLX7lJ8nX7y7fowM3Sf5ur/L11CBAgAABAgQIECBAgAABAgTKCQhSynkp3R4BQUp7XLW6HIFnnnmm8Umvl156KbfffvuiM096ivu0l6VDoPUCp9+c/NNPy7d77t7JvhuXrzeUahSf9frhY+V7vO6E5McfS4YNK19XDQIECBAgQIAAAQIECBAgQKB5AUFK81ZKtk9AkNI+Wy0vQ+CII47IhRdemOOOOy5nn332UiXOOOOMfOUrX2n8/iuvvNL4++jRoxt/OWzekiJQXmDOW8nv/0vywuvl6x6+ZfLlXcvXG0o1Dr48uf2p8j3+/9m7DzC7qnrv499Mr+nJpPfeOwkhCSGUgPRepCOiiCiKosCrcrEiV6+CiiJFeu8QQgKkJ6T33nvPZJJJpr/PYmecyeTMnL3OnDNn73N++3l87ntllf/6rMO6z7v+s9ZqngEzboWUigN19o2ohgQkIAEJSEACEpCABCQgAQlIQAJBBZRICUqkAnUgoERKHSCriwqBM888kylTpliR3Hvvvfz5z38mPz+f7OxsSktLv07C3H///QHb+e53v8vf//53WrRowc6dO636qqmwFu2wUaqhOhTYlw/DnoaSEJ72uaIH/G+MX1/1gwnwzmr7CemfA+9fa19PNSQgAQlIQAISkIAEJCABCUhAAhKwE9CenJ2XSkdGQImUyLiq1WoEapNIMU2OHj2aadOmcdZZZzF58uRTejEPwZtH6Dds2MBNN93E888/H7a50KIdNko1VIcCucdh+DNgTqbYftf2ht+fbVvLX+VfWQYPnLqUBB3Ez0bCXUOCFlMBCUhAAhKQgAQkIAEJSEACEpCABGopoD25WgKqelgElEgJC6MaCZdATW+kmD7+/e9/c8cdd2AW0FmzZnHaaaed1PXrr7/ONddc8/V/N2nSJMaNGxeu0L7u03wmWaNPAn4RKC2D296HLzbZRxwPyYJdR+DcFyG3wL1PUgJ8cj10a+K+jkpKQAISkIAEJCABCUhAAhKQgAQkEJqA9uRCc1Ot8AookRJeT7VWS4FgiZTi4mIGDRrE0qVLad269dcnTkyyxFz39dZbb32dZDl8+DDnn38+H3/8cS2jObm6Fu2wcqqxOhR4ZyX8YKJdhyZZ8PH10D0OkgVPL4D/mebe5ztD4IGR7surpAQkIAEJSEACEpCABCQgAQlIQAKhC2hPLnQ71QyfgBIp4bNUS2EQCJZIMV1s2rSJsWPHfv0/zZeRkfF1IuX48eNf/+8DBw78+tqvRo0ahSGiiia0aIeVU43VocCBY3DhK7A9z32n1/WG38X4tV7lGseL4Y8z4V8Lg/tc0RN+OQbqpwYvqxISkIAEJCABCUhAAhKQgAQkIAEJ1F5Ae3K1N1QLtRdQIqX2hmohjAJuEimmu7y8PP74xz/y9ttvs3HjRhISEujWrRvXXXcd99xzDykpKWGMymlKi3bYSdVgHQpM3+Jc8VVQErzTnk3gnxdBuwbBy8ZKicISeGsFLFhfSIfDuWSUllBYrx7rkjJ5+0AWrbLglgFg3o3JDP/yEiuMGocEJCABCUhAAhKQgAQkIAEJSCDsAtqTCzupGgxBQImUENBUJT4FtGjH57zH0qinbYEffgp786sf1Wmt4bdnQefGsTRyF2PZmQeLd1M2dTP1Djmn277+khLIG9KW5MEtSOvd1EVDKiIBCUhAAhKQgAQkIAEJSEACEpBAOAW0JxdOTbUVqoASKaHKqV7cCWjRjrspj8kB7z4CX26Gt1fC7O3OEBPrwaXd4fwucHrbODxxsWofPLMQjhRWP+f1gMt6wtgOkJgQk78NDUoCEpCABCQgAQlIQAISkIAEJOBFAe3JeXFW4i8mJVLib8414hAFtGiHCKdqnhQwV1mZt1MKiiEjGZplOmHmHocle5ycQkoitG8AlUmbiwAAIABJREFUXWL5dMr6A/DkV3DcxZ1nBuia3jCmgyfnVEFJQAISkIAEJCABCUhAAhKQgARiUUB7crE4q/4bkxIp/pszRRwlAS3aUYJXt3UisOEgTFgPLy+FrYcrukxOgCt7OqdVRrWHBHMyI1a+0jJ4ah4s3eN+REkJ8NAoaJ7lvo5KSkACEpCABCQgAQlIQAISkIAEJBCygPbkQqZTxTAKKJESRkw1FdsCWrRje37jeXRztsP3J8CuIzUr/Gg43DXEOakSE5/JHv1xpv1QrugJ4zrZ11MNCUhAAhKQgAQkIAEJSEACEpCABKwFtCdnTaYKERBQIiUCqGoyNgW0aMfmvMb7qBbvhlvec675cvP9bKSTTImJ74PV8Mk6+6G0yoafjoTkWMko2ROohgQkIAEJSEACEpCABCQgAQlIoK4EtCdXV9LqpyYBJVL0+5CASwEt2i6hVMw3AmVlcM8n8MFa9yGbh+k/ug56NnNfx7MlX1oCM7bah2fuN/vNOKifal9XNSQgAQlIQAISkIAEJCABCUhAAhKwEtCenBWXCkdIQImUCMGq2dgT0KIde3Ma7yNauhsuehXKLCHuHwHfG2ZZyYvFX1wMM7fZR2beiTGJlAZp9nVVQwISkIAEJCABCUhAAhKQgAQkIAErAe3JWXGpcIQElEiJEKyajT0BLdqxN6d+G5FJfCzcDUcLnXdKOjeC4a0hLTm0kTzxFTw2y75um/rw6Q2QlWJf11M13l0FE9fbh9QkHR4eE0OPxdgTqIYEJCABCUhAAhKQgAQkIAEJSKCuBLQnV1fS6qcmASVS9PuQgEsBLdouoVQs7AJTN8MbK+DDtVBa5fhI/xy4tjdc1gPSLRMqD38B/1kSWrgzb4XW9UOr65laq/fB/82xD+fi7jC+i3091ZCABCQgAQlIQAISkIAEJCABCUjAWkB7ctZkqhABASVSIoCqJmNTQIt2bM6r10f1+gp4YBKUBLl/65pe8NBou2c7apNImX4LtG3gdb0g8RWXwl/nwNoD7gdi3kf52RkxkEVyP2SVlIAEJCABCUhAAhKQgAQkIAEJRFNAe3LR1Fff5QJKpOi3IAGXAlq0XUKpWNgEPl0Pd3106imU6jr41kB4cBTUM294uPj+NBv+HMKBjMbpMPVmyA7y1npJKSzcBZtzoagEMlNgcAto5aWTLCv2wN/nBc9UlXt+oyt8o5sLXRWRgAQkIAEJSEACEpCABCQgAQlIIBwC2pMLh6LaqK2AEim1FVT9uBHQoh03U+2JgR4vhqvfhMW73Ydj8ifvXwv9ctzVmbcDrnjDXdnKpb4/DH40ovp6JvZP1oF5guTLzSeXy0qGG/qCuR2rT3P7viNSY8FOeG4RmBMqNX1nd4QLu+ttlIhMghqVgAQkIAEJSEACEpCABCQgAQkEFtCenH4ZXhBQIsULs6AYfCGgRdsX0xQzQX65CW5+z3449w6D+2pIclRu0ZwY+dYHMHmT+35Msua9a6B/i8B1jhTA72cGf3ulfir8dTyc2cF93xEtueEgzNsOM7ZCUZWESt/mMKw1DGgBiQkRDUONS0ACEpCABCQgAQlIQAISkIAEJHCygPbk9IvwgoASKV6YBcXgCwEt2r6YppgJ8jfT4KkF9sPJyYQvb4YMlw/Pz94GN70LBSXu+rprMDwwMvD1YaVl8Lvp7uPOTIbnLnFyFJ759hyFTYfAHKtJToCcLOjQEMzbKPokIAEJSEACEpCABCQgAQlIQAISqHMB7cnVObk6DCCgRIp+FhJwKaBF2yWUioVF4CeT4LXl9k2Z7f6v7oDmme7rTt4I93wCR4tqrnNzP/jJ6ZBVzdsoC3fCpa+779eUPL8L/P0C9++62LWu0hKQgAQkIAEJSEACEpCABCQgAQn4XUB7cn6fwdiIX4mU2JhHjaIOBLRo1wGyuvivwAOT4ZVl9iBJCTDndmiaYVd3yW54fw28uASOFZ9c98z2cGkPuKALpCZV3+4fZsCT8+z6DXZVmF1rKi0BCUhAAhKQgAQkIAEJSEACEpBArAloTy7WZtSf41EixZ/zpqijIKBFOwrocdzlX+bA47PtAfo1h7euDv099K2HwZwsOVLotGFutRro4mmQQ8dh9HOQW1B9zCbJk5Xi3Jpl/lP+/XgE3DPMfqyqUQcCRSVg3o/Zlw/mUZ20ZOjSCBpbZurqIFR1IQEJSEACEpCABCQgAQlIQAKxKaA9udicV7+NSokUv82Y4o2agBbtqNHHZcdLd8NFr0KZ5egfORNu7m9ZKQzFNx+C0c+f2pB5WmRwS0hLgoJiOFwIaYmQfeJ6MHMS5oqe8IsxYQhCTYRPwGS6FuyEWVth/cGT201NhFHtYEhraNcgfH2qJQlIQAISkIAEJCABCUhAAhKQQAAB7cnpZ+EFASVSvDALisEXAlq0fTFNMRNkWZnzbskHa90PKT0JPrsR2tZ3XydcJbfkwqjnTm6tTTZ0awIzt518AqVyqf45MLIt/HRkuCJRO7UWOFoIb62A2dtrbiojGW4bCL2a1bpLNSABCUhAAhKQgAQkIAEJSEACEqhOQHty+m14QUCJFC/MgmLwhYAWbV9MU0wFuXwv3Poe7D7qblj/e65zuiMaX14BjP0P7M13em+VDa2yYN7O4NHkZMLvxsFZHYOXVYkIC5jru15fDtO2uOvIHC+6exh0buyuvEpJQAISkIAEJCABCUhAAhKQgAQsBbQnZwmm4hERUCIlIqxqNBYFtGjH4qx6f0zmdqUfTIDNh6uPNbEe/PYsuLo31DOvt0fp+/Ns+NMcp/OzOsDnm9wHYp7deOVyaJ7lvo5KRkBgzX4wE2nzDW0Ftw60qaGyEpCABCQgAQlIQAISkIAEJCAB1wLak3NNpYIRFFAiJYK4ajq2BLRox9Z8+mk02w/DpI3wxnJYurci8oZpcHM/GNcJzBVZ0f6W7XHedenZFHYegQPH7CJ68Ay4c7BdHZUOs4D5kX1hkQEz3Zvk3QNnQFu9lxLm2VBzEpCABCQgAQlIQAISkIAEJGD+v50n/mq0zNyDrk8CURJQIiVK8OrWfwJatP03Z7EW8bEiMAcGjhRCapLzFkqOx05wPPEVzNoO013eDFV5jka1hRcvj7VZ89F4DhfAw59DUal90Jf1gHM629dTDQlIQAISkIAEJCABCUhAAhKQQBAB7cnpJ+IFASVSvDALisEXAlq0fTFNCjLKAseL4Qefwifr7ANJToDJ34T2jezrqkYYBHbmwf9MDa2hczrBZVF6oCe0iFVLAhKQgAQkIAEJSEACEpCABHwioD05n0xUjIepREqMT7CGFz4BLdrhs1RLsS3wrQ9g4obQxvjRtdDHA9eUhRa9z2vtOgKPTAltEOd2gkuVSAkNT7UkIAEJSEACEpCABCQgAQlIoCYB7cnp9+EFASVSvDALisEXAlq0fTFNCtIDAnd9FNqJlKQEmPRN6KgTKdGZxbwC+NWXkF9s3/9VvWBsR/t6qiEBCUhAAhKQgAQkIAEJSEACEggioD05/US8IKBEihdmQTH4QkCLti+mSUF6QOCxGfDEPPtATmsNL18OJqGiL0oC76+GCZb3spkJe3CU9x7siRKhupWABCQgAQlIQAISkIAEJCCB8ApoTy68nmotNAElUkJzU604FNCiHYeTriGHJLBmH1zxJpi3y22+e0+D+4bb1FDZsAtsPAiPzbRrdlQ7uK6vXR2VloAEJCABCUhAAhKQgAQkIAEJuBTQnpxLKBWLqIASKRHlVeOxJKBFO5ZmU2OJtMDPJ8NLy9z30rY+NE6Du4bABV3d11PJMAuUlcEna+HDte4aNpP2naHQur678iolAQlIQAISkIAEJCABCUhAAhKwFNCenCWYikdEQImUiLCq0VgU0KIdi7OqMUVKYPthuG8izN4evIeGadCnOUzfAl0aw5tXQqP04PVUIkIChSXw6brgD900z4BbBkAHPWoToZlQsxKQgAQkIAEJSEACEpCABCQAaE9OPwMvCCiR4oVZUAy+ENCi7YtpUpAeEnhnJby1CmZuhZKywIF1awLNMmDG1op//sgYuHmAhwYSj6GUlsHKvbBwF8zeBuZ/L/9aZsHIdtAvB5pmxKOOxiwBCUhAAhKQgAQkIAEJSEACdSigPbk6xFZX1QookaIfhwRcCmjRdgmlYhI4IfCjT+GDtTC4JSQkwL58yD0OaUnQIgsSE2D9Adh55GSycR3hmYvF6BmBXUdgfz4Ul0J6MrSrD2nJnglPgUhAAhKQgAQkIAEJSEACEpBAbAtoTy6259cvo1MixS8zpTijLqBFO+pToAB8JnDtmzCr0tVejdKgQRrkF8GBY86+fKDPvJcy9WYn+aJPAhKQgAQkIAEJSEACEpCABCQggfgW0J5cfM+/V0avRIpXZkJxeF5Ai7bnp0gBekzgoldgyR77oMzTG1/eDJkp9nVVQwISkIAEJCABCUhAAhKQgAQkIIHYEtCeXGzNp19Ho0SKX2dOcde5gBbtOidXhz4XuOldmLLZfhDdGsNnN9rXUw0JSEACEpCABCQgAQlIQAISkIAEYk9Ae3KxN6d+HJESKX6cNcUcFQEt2lFhV6c+FvjNNHhqgf0Aru8Nvz3bvp5qSEACEpCABCQgAQlIQAISkIAEJBB7AtqTi7059eOIlEjx46wp5qgIaNGOCrs69bHA0t1w9VvOmyhuv8R6zkPzZ3ZwW0PlJCABCUhAAhKQgAQkIAEJSEACEohlAe3JxfLs+mdsSqT4Z64UaZQFtGhHeQLUvS8FHv4C/rPEfegXdoMnz3dfXiUlIAEJSEACEpCABCQgAQlIQAISiG0B7cnF9vz6ZXRKpPhlphRn1AW0aEd9ChSADwX258NPJ8FnG4MHP6wVPH4OtGsYvKxKSEACEpCABCQgAQlIQAISkIAEJBAfAtqTi4959voolUjx+gwpPs8IaNH2zFQoEJ8JHDwGf/0KPlgDe/JPDb5BKlzUFe4eBq2yfTY4hSsBCUhAAhKQgAQkIAEJSEACEpBARAW0JxdRXjXuUkCJFJdQKiYBLdr6DUigdgJbc+Hd1bBqHxSVQFICdGkMl3SHzo1r17ZqS0ACEpCABCQgAQlIQAISkIAEJBCbAtqTi8159duolEjx24wp3qgJaNGOGr06loAEJCABCUhAAhKQgAQkIAEJSEACEohTAe3JxenEe2zYSqR4bEIUjncFtGh7d24UmQQkIAEJSEACEpCABCQgAQlIQAISkEBsCmhPLjbn1W+jUiLFbzOmeKMmoEU7avTqWAISkEDsC5SVweZc2HAAjhdDYgI0z4QeTSE9OfbHrxFKQAISkIAEJCABCUhAAhKoRkB7cvppeEFAiRQvzIJi8IWAFm1fTJOClIAEJOA/geV7YOZWWLQLyqqE3zwDRrWH09sqoeK/mVXEEpCABCQgAQlIQAISkEAYBLQnFwZENVFrASVSak2oBuJFQIt2vMy0xikBCUigDgVmbYWXlkJp1QxKlRgGtIDr+kB2ah0Gp64kIAEJSEACEpCABCQgAQlEX0B7ctGfA0UASqToVyABlwJatF1CqZgEJCABCbgTWLwL/jn/1FMo1dUe0Qau7+tc+6VPAhKQgAQkIAEJSEACEpBAnAhoTy5OJtrjw1QixeMTpPC8I6BF2ztzoUgkIAEJ+F6gqAT+MgfWH7Qbyg+HQ9cmdnVUWgISkIAEJCABCUhAAhKQgI8FtCfn48mLodCVSImhydRQIiugRTuyvmpdAhKQQFwJrNwLf/3KfshndYAre9vXUw0JSEACEpCABCQgAQlIQAI+FdCenE8nLsbCViIlxiZUw4mcgBbtyNmqZQlIQAJxJ/D+Kpiw3n7YqYnw6FmQmWJfVzUkIAEJSEACEpCABCQgAQn4UEB7cj6ctBgMWYmUGJxUDSkyAlq0I+OqViUgAQnEpcCry2Dq5tCG/shYaJoRWl3VkoAEJCABCUhAAhKQgAQk4DMB7cn5bMJiNFwlUmJ0YjWs8Ato0Q6/qVqUgAQkELcCry2DKSEmUn59FjRKj1s6DVwCEpCABCQgAQlIQAISiC8B7cnF13x7dbRKpHh1ZhSX5wS0aHtuShSQBCQgAf8KTNoAb6+0j79VFvzkDEhJtK+rGhKQgAQkIAEJSEACEpCABHwooD05H05aDIasREoMTqqGFBkBLdqRcVWrEpCABOJSYGce/HoalJbZDf/KXnBWR7s6Ki0BCUhAAhKQgAQkIAEJSMDHAtqT8/HkxVDoSqTE0GRqKJEV0KIdWV+1LgEJSCDuBF5eCtO3uB92UgI8NBqaZ7qvE+6ShwvgaCHUqwdZKc5/9ElAAhKQgAQkIAEJSEACEoiggPbkIoirpl0LKJHimkoF411Ai3a8/wI0fglIQAJhFth1BP4xF/bku2v4pv4wvI27suEsVVIK6w/Cop0wYysUlTqtZybD6PbQtzm0b+gkV/RJQAISkIAEJCABCUhAAhIIs4D25MIMquZCElAiJSQ2VYpHAS3a8TjrGrMEJCCBCAtsy4XnF8P2vOo7SqgH1/eFEW3qPllxpBDeX13zyRmTP7mwG4zrpLdbIvxzUfMSkIAEJCABCUhAAhKIRwHtycXjrHtvzEqkeG9OFJFHBbRoe3RiFJYEJCABvwuY67KW74GvtsPq/RWjyU6BMebERw60bVD3ozxeDK8tgznb3fV9QRe4oBuYxI8+CUhAAhKQgAQkIAEJSEACYRLQnlyYINVMrQSUSKkVnyrHk4AW7XiabY1VAhKQQBQEzBVa5rovk8BIToRGaZCdGoVATnQ5Ywu8tNSu/+8Ng17N7OqotAQkIAEJSEACEpCABCQggRoEtCenn4cXBJRI8cIsKAZfCGjR9sU0KUgJSEACEgiHQFEJ/N9s2HDIrrUz2jnXkOmTgAQkIAEJSEACEpCABCQQJgHtyYUJUs3USkCJlFrxqXI8CWjRjqfZ1lglIAEJxLnAqn3wlzn2CIn14KHRkJNlX1c1JCABCUhAAhKQgAQkIAEJBBDQnpx+Fl4QUCLFC7OgGHwhoEXbF9OkICUgAQlIIBwC07fAy5bXepX3q+u9wjEDakMCEpCABCQgAQlIQAISOCGgPTn9FLwgoESKF2ZBMfhCQIu2L6ZJQUpAAhKQQDgEpmyC15aH1tJ3hkDfnNDqqpYEJCABCUhAAhKQgAQkIIEqAtqT00/CCwJKpHhhFhSDLwS0aPtimhSkBCQgAQmEQ2DONnh+cWgt/XA4dG0SWl3VkoAEJCABCUhAAhKQgAQkoESKfgMeFFAixYOTopC8KaBEijfnRVFJQAISkEAEBPblw6NTobDErvFWWXD/SEhNsqun0hKQgAQkIAEJSEACEpCABKoR0J6cfhpeEFAixQuzoBh8IaBF2xfTpCAlEHGBD9fAir3O/nJWCoxuB4NaRbxbdSCBuhd4czl8vsmu36t6wdiOdnVUWgISkIAEJCABCUhAAhKQQA0C2pPTz8MLAkqkeGEWFIMvBLRo+2KaFKQEIiJgkib/XgAzt8GMrVBSVtFN/VQY2wHGdYRLukekezUqgegIbMmF/5sNx4rd9d88A+45DZpkuCuvUhKQgAQkIAEJSEACEpCABFwIaE/OBZKKRFxAiZSIE6uDWBHQoh0rM6lxSMBO4OAx+PV0eGNFzfXM6ZQfDINvDbZrX6Ul4GmB5XucLOLxIFd8NUmH2wdCh0aeHo6Ck4AEJCABCUhAAhKQgAT8J6A9Of/NWSxGrERKLM6qxhQRAS3aEWFVoxLwvMBDn8MLS92FmZYED54BN/V3V16lJOALgfUH4MtNsGAnVDqN9XXsSQlwelsY1Q5a1/fFcBSkBCQgAQlIQAISkIAEJOAvAe3J+Wu+YjVaJVJidWY1rrALaNEOO6kalIDnBSaug+9+AkWl7kMdkAMvXe68n6JPAjElYK76WrUPjhRAvXrQMA16NYOcrJgapgYjAQlIQAISkIAEJCABCXhLQHty3pqPeI1GiZR4nXmN21pAi7Y1mSpIwPcCP/4s+JVegQb56Fi4sZ/vh68BSEACEpCABCQgAQlIQAISkIAEoi6gPbmoT4ECwPw9ofmLQqhXVlZW9bIGAUlAApUEtGjr5yCBuhH4fCPM3wnHi8FclWVOeJzTuW76rtzL/ny45DXYeti+74u6whMX2NdTDQlIQAISkIAEJCABCUhAAhKQgAROFtCenH4RXhBQIsULs6AYfCGgRdsX06QgfSzw4lL4dB1M3wqllVL7Jt0/si2c28k55ZGQUDeDXLrbSaSUhPBnBmM7wHOX1E2c6kUCEpCABCQgAQlIQAISkIAEJBDLAtqTi+XZ9c/YlEjxz1wp0igLaNGO8gSo+5gVKC2F38+Ep+af+o511UHfPgAeGAkpSZHnqE0i5awO8KwSKZGfJPUgAQlIQAISkIAEJCABCUhAAjEvoD25mJ9iXwxQiRRfTJOC9IKAFm0vzIJiiEWBv3wFj89yP7J7h8F9I9yXD7Wkudrroldhe559Cxd2hSd1tZc9nGpIQAISkIAEJCABCUhAAhKQgASqCGhPTj8JLwgokeKFWVAMvhDQou2LaQpLkGsPwN6jYF6OapIO3ZuaB6XC0rQaqSKw8RBc8TrsP+aepn4qvH0ldG3qvk6oJUN9bP6RM+Hm/qH2qnoSkIAEJCABCUhAAhKQgAQkIAEJlAtoT06/BS8IKJHihVlQDL4Q0KLti2kKOchjRTBtC3y0Ft5fU/FGh8mfjO8C5oTBme0hKzXkLlQxgMCfZ8Of5tjT3DMUfny6fT3bGhPWwt0ToLjUfc1+zeHVKyAzxX0dlZSABCQgAQlIQAISkIAEJCABCUggsID25PTL8IKAEilemAXF4AsBLdq+mKaQgjyQD7+ZAW+sqLn6+M7wqzOhRVZI3ahSAIGb3oUpm+1pRrSGV6+0rxdKjZ9NhpeXuauZmgg/PwNuGeCuvEpJQAISkIAEJCABCUhAAhKQgAQkULOA9uT0C/GCgBIpXpgFxeALAS3avpgm6yDzC+HBL+DtVe6qntMJ/ngONExzV16lahY470VYtd9eqUNDmHKzfb1QahzMh0emwtura66dkQw/OA2+PTiUXlRHAhKQgAQkIAEJSEACEpCABCQggUAC2pPT78ILAkqkeGEWFIMvBLRo+2KarIN8bxV8/1O7ar8eC9/sZ1dHpQMLnP8SrNhnr9O5IXxeR4kUE92xQnh6Ecza5vyntKwi5qwUOLMDjOsAl/e0H4tqSEACEpCABCQgAQlIQAISkIAEJFC9gPbk9OvwgoASKV6YBcXgCwEt2r6YJqsgzWb4tz6ASRutqjGwhfMGRlqSXT2VPlXg9vft/U0ro9vBC5dFR/SdVbBqHxSWQGYyjGkPQ1tHJxb1KgEJSEACEpCABCQgAQlIQAISiHUB7cnF+gz7Y3xKpPhjnhSlBwS0aHtgEsIcwqJdcMlroTX68mUwsl1odVWrQuCp+fCb6fYiPxkBdw+zr6caEpCABCQgAQlIQAISkIAEJCABCfhLQHty/pqvWI1WiZRYnVmNK+wCWrTDThr1Biesg29/FFoYj58DV/YKra5qVQjsPgJXvA5b89yrNM+Ed6+C1g3c11FJCUhAAhKQgAQkIAEJSEACEpCABPwpoD05f85brEWtREqszajGEzEBLdoRo41awx+vhe98HFr3j50NV/cOra5qnSzwn8Xwq6lQXBpcJqEePDQKbh8YvKxKSEACEpCABCQgAQlIQAISkIAEJOB/Ae3J+X8OY2EESqTEwixqDHUioEW7TpjrtJOZW+G6t0Pr8l8XwrmdQ6urWqcKPL0A/jATCkqq10lJhB8Nh7uGSFACEpCABCQgAQlIQAISkIAEJCCBeBHQnly8zLS3x6lEirfnR9F5SECLtocmI0yh5BfC5W/Ayn12DbbKho+uhcYZdvVUumaBSevhk/UwcQMcLqgom50C53ZyElfju0hRAhKQgAQkIAEJSEACEpCABCQggXgS0J5cPM22d8eqRIp350aReUxAi7bHJiRM4Ty7CH45xa6x+0fA9/TQuR2aRenV+2DeTjCJrvRkGNwSejazaCASRfMKYOcRKCwBczSmZRZkp4a9p6OFYE5Krd7vnM7JSIYBOTCkFSQnhr07NSgBCUhAAhKQgAQkIAEJSEACEvC8gPbkPD9FcRGgEilxMc0aZDgEtGiHQ9F7bezMgzs+hGV73MXWsSE8dwl0aOiuvEr5XGBbLizeDVM3Q15hxWAapMLo9tAvB1rXr/UgjxXBmyvhxSWwav+pzZ3eBm7oCxd0BfNOjD4JSEACEpCABCQgAQlIQAISkEC8CGhPLl5m2tvjVCLF2/Oj6DwkoEXbQ5MR5lBW7YMffgorglzxZZInfzkP+rcIcwBqzpsCC3fCc4ugqLT6+NIS4ZYB0C/0H4U57PLoNHh1eXCGB0bCnYMgMSF4WZWQgAQkIAEJSEACEpCABCQgAQnEgoD25GJhFv0/BiVS/D+HGkEdCWjRriPoKHWzNRfeXgUvLIG9+ScHYQ4f3NgPLu8BnRtHKUB1W7cCS3fDU/OhtCx4v4n14DtDoVdo94/9YQY8OS94N+UlHjsbru7tvrxKSkACEpCABCQgAQlIQAISkIAE/CygPTk/z17sxK5ESuzMpUYSYQEt2hEG9kjz+/KdNyr2HHUCMg/Kj2wDOVkeCVBhRF7APM7y+xmnZtRq6rlVFvz4dEhLtorPnIa64GUocZGvKW+4bX348FpomG7VlQpLQAISkIAEJCABCUhAAhKQgAR8KaA9OV9OW8wFrURKzE2pBhQpAS3akZJVuxLwmMCCnfD0Avugvj3Y+t63J+fCH2bad/XX8XBxd/t6qhEBgcMF8NU22J4HxaXOIzZN02FAS2jbIAIdqkkJSEACEpCABCQgAQlIQALxJaA9ufiab6+OVokUr86M4vKcgBZtz02JApJAZASeXQhzd9i3PbIt3NDPdT1za9h5L8GaAI8ZxXxBAAAgAElEQVTLB2vk+r7w27OCldI/j7jAB6th9X7YcPDUrnIyoXsTOKMNtGkU8VDUgQQkIAEJSEACEpCABCQggVgV0J5crM6sv8alRIq/5kvRRlFAi3YU8dW1BOpS4NGpsCPPvseODeH+ka7r5RXC6f+Gw4Wuq/y34PjO8NSF9vVUI0wCBQXw7lqYuhmCXcvWsymc3xm6NA1T52pGAhKQgAQkIAEJSEACEpBAfAloTy6+5turo1Uixaszo7g8J6BF23NTooAkEBmBX35Z8UiOTQ/tGsADZ7iucbwIRjwLB465rvLfghd3g7+eb19PNcIk8M5K+GyD+8YGtYA7Brsvr5ISkIAEJCABCUhAAhKQgAQk8F8B7cnpx+AFASVSvDALisEXAlq0fTFNClICtRf4xzxYstu+nSEt4bZBVvVufw8mbbKq8nXhu4fCT063r6caYRDYuB+eWQz7LTJg9YBr+sDo9mEIQE1IQAISkIAEJCABCUhAAhKILwHtycXXfHt1tEqkeHVmFJfnBLRoe25KFJAEIiMwYwu8tNS+7Zv6wfC2VvXMwYYfTLSq8nXht66CIa3s66lGGARsT6OUdzmsNdwyIAwBqAkJSEACEpCABCQgAQlIQALxJaA9ufiab6+OVokUr86M4vKcgBZtz02JApJAZAQOHYf/mQLHit23n50CD42G7FT3dXCu9Tr/Jdh11H21szrA0xdBYoL7OioZRoFQTyw1TocfDocmGWEMRk1JQAISkIAEJCABCUhAAhKIfQHtycX+HPthhEqk+GGWFKMnBLRoe2IaFIQE6kbAPCL+6jL3fd3QF0a2c1++UsnJG+HOD6G4NHj1Zhnw7MXQNyd4WZWIkMATX8GKvfaNJyfAPUP16Ly9nGpIQAISkIAEJCABCUhAAnEuoD25OP8BeGT4SqR4ZCIUhvcFtGh7f44UoZ1AYQnM3Q7zd8LRIkhOhM4NYXQHaJJu11akSx86BvuOQWkZNEiFnKwI91hSCpM2wHurg3d0eQ84qxMkmIcwQvsmboB7P4H8Gg7BtK8PfxoPg1uG1odqhUkg1ERKWhJ8fyh0aBymQNSMBCQgAQlIQAISkIAEJCCB+BDQnlx8zLPXR6lEitdnSPF5RkCLtmemIuKBrNwHc7bB4QLn+qS29WFUO2jkseRCqBBlZfDJOnh+EczecWorOZlwcz+4vm/0x7x0N5gTGy8uhb35TqwpiXBNbzivMwxrBalJoUoEqWeyNkt2wZztsLjK4/MmZzKgBZh3L/rlQL3QkyjlUaw/6ORuXlkGGw9VxDa4BVzZC8Z2gJbZERqrmnUv8PQCWLDTffnykmYh+d4w6+vf7DtSDQlIQAISkIAEJCABCUhAArEloD252JpPv45GiRS/zpzirnMBLdp1Tl7nHZr9crOJbQ4hmD30yl+rbPhmX7i6FzTLrPPQwtahSaI8swgemRq8SbNx/4ezoXkUxmtOyzy3CH4749S5qBy5OQzy4BnQNJIxmh/D5kOwPQ9MYCaT0yYb2jcMSwKl6kzkFcDWw3C8GDKSoEMjMIcZ9HlEYNJ6eHuVfTBntHOyk/okIAEJSEACEpCABCQgAQlIwEpAe3JWXCocIQElUiIEq2ZjT0CLduzNaeURTVgH358ABSU1j3NkW3jsbGhd358eJklkxun2u7w7PHYuJNXhw+Ym2fOP+fC7Ge6iHN8ZHjsH6tu98+6ucZWSQFUBc1Ttn/Nhw0H3NulJcHN/6NfCfR2VlIAEJCABCUhAAhKQgAQkIIGvBbQnpx+CFwSUSPHCLCgGXwho0fbFNIUU5KytcPN7wZMo5Y2P6wh/HQ+ZKSF1F7VK+YVw5Zuw3PKd7NevhNNaRy7sguKKN1qyU5ybtK5+066/X50Jt/S3q6PSEghZ4PMNzv145nGhYJ+59W18F7ioe7CS+ucSkIAEJCABCUhAAhKQgAQkEEBAe3L6WXhBQIkUL8yCYvCFgBZtX0yTdZDm9MM9n8AHa+2q/utCOLezXZ1ol568AW77wD6Kbw2Ch0bZ16uphnnL3Twz8dkGeGcVHCqAtEQwJ36yU+H1FXb99WwKb13lv+SW3ShV2lMCn62HzzdCbkH1YZmjXCbzekkPT4WuYCQgAQlIQAISkIAEJCABCfhJQHtyfpqt2I1ViZTYnVuNLMwCWrTDDOqR5sxj5he9ClWeRAka3WU94M/nBS3mqQK/mQZPLbAPyZwSmXkr1E+zrxuoxq4jzrVdJoFS9RvSEpbtdd4Hsf2euQjGdbKtpfISqIXA3G2w+gCsPwC7j1Y0ZP6l6dkMOjWE0R1q0YGqSkACEpCABCQgAQlIQAISkID25PQb8IKAEilemAXF4AsBLdq+mCbrIP+1AB6dZl2NhHow5WZo18C+brRqPDAJXlkeWu+zboNW2aHVrVxr71H4wacwfWvgtoa3htnbQ+vnl2Pg1gGh1VUtYMdh2JsP5rhQahK0bwhZPru/LloTuT0X1hyAY0WQnABt6kPP5tGKRv1KQAISkIAEJCABCUhAAhKIKQHtycXUdPp2MEqk+HbqFHhdC2jRrmvxuunvjzPhr3ND6+uj66CPj/ZKH/oCXlhiP1aTNJpxC7Sqb1+3ao3HZsITNXiPaAOztoXWz4Oj4M5BodWN21qlZbBiD8zfCXN3gPnfy7+GqTC6PQxoCS2y4pZIA5eABCQgAQlIQAISkIAEJCCB6ApoTy66/urdEVAiRb8ECbgU0KLtEspnxf40G/48J7SgJ1zv3N7jl++fC+DXIZy+6doY7hoMV/aq3Ui3H4ZzXqz5fe7T28DMEBMpvxsH1/WpXYxxVbuoBD5dBx+vq3nYDVKdoz7dmsYVjwYrAQlIQAISkIAEJCABCUhAAt4Q0J6cN+Yh3qNQIiXefwEav2sBLdquqXxV8PXlcP8k+5Abp8GkG6FJhn3daNVYdwDGvwRFpXYRnNEODuQ7j7ln1OKmpxeXwINf1Ny3OfhgnpdYe8AuRnOb0oQboEtju3pxXXrCWnh/jTuCzGS4eyh0aOSufDyWKih23kkpLAHzyHyzDMisxb8w8WioMUtAAhKQgAQkIAEJSEACEgggoD05/Sy8IKBEihdmQTH4QkCLti+myTpI8/D5uS9CboFd1XtPg/uG29XxQumfTYaXl7mPxDyR0a0xLNgF/74Izq7FY+7/7wt43sXVYiZxM32L+xhNyev7wG/H2dWJ69Jbc+F306HSTV5BPQa3hNsGmrOsQYvGVYH9+bB0t3OUatvhiqE3TodR7aBfDrQMwwNDcYWqwUpAAhKQgAQkIAEJSEACEqgQ0J6cfg1eEFAixQuzoBh8IaBF2xfTFFKQf5gBT85zX9VsI79/rbM/6rdv9ja4byJszwseuXkb5dxOMGG9U9YkjkwCKdTP7WP3PZrC0ULYWmlPuqY+05PgxctgSKtQI4vDeh+vgQ/X2g3c/PB/ega0a2BXL5ZLr90Pzy6CQ8erH2VKAtw8AAa2jGUJjU0CEpCABCQgAQlIQAISkEDEBLQnFzFaNWwhoESKBZaKxreAFu3YnX/zdsd3PobFu92N8eFRcIdPHzVftgd+8SXsPwYbD1U/3rQkOLM9TN5YcRXYd4bAAyPdGQUq9chU+PdCd/VPaw2bc8GcGKrpS02EJ86Hczu7a1elgGNF8MgU+2NYBu/ibjC+q7cYS0rheLETU3oymAxgXXwbD8KTcyG/KHhvJqY7B0G/FsHLqoQEJCABCUhAAhKQgAQkIAEJnCSgPTn9ILwgoESKF2ZBMfhCQIu2L6Yp5CA3HISfToavtlffhNmefXAU3NIfkhND7iqqFc07KeNegM6NnNuGjhTAokoJpDbZ0LGR88yDsah881NtT6R8uAbu/sT98Ae1AJPQmb8TCkpOrmfm4rzOzlyMaOu+TZUEzFVUDwd5rKY6qDHt4Zo+3mA0WTZzpdacbbA337lyrGUWmCxcnxxoGsEHjEzyxiRRVu1zLMwPsn1D5wdr/pmJpazMeSvFJHk2HYL6qfDzUZCd6g2/WInieBGs3g8mS7zziOPfLBN6NYPezeQdK/OscUhAAhKQgAQkIAEJxLWA9uTievo9M3glUjwzFQrE6wJatL0+Q7WPz9zOM2UTvLcaJm+qaM88fn5jP+eaK7/fzmP2dK99CxbucsZnxmb2Gsv3fc1b2dWdVHn6QjinFic/co/Dha/AFpdXdpn4EuvBk+fDnnzYkQelZdAwDUa2hf45eq4jpF/9vnwwD9aE8pljSldHOZFSVAJfbIQP1kBJNY+8JCfAVb3h9LaROaGyZj/8ebYjaB6VNxv3JhtbfjKmsq1JrnRqBHuPwje6wbDWJ8sfPg7rD8LRIucHb95WMeX9mq0N5XcVap0Ve+HtFbCjmqNrZoG7pAcMbxOZ30GocaueBCQgAQlIQAISkIAEJGAloD05Ky4VjpCAEikRglWzsSegRTv25rS6EZk/aDb7mnkFzh+Ut8iCnKzYGf+LS+BBy330nk3hrasgM6V2Dv9ZDA9/6b6N09vAs+OLSTtyHIpLITXJ2Wiuq+ub3Ifqn5Lmai+TSDEb97bfhd3ggihe7WUyaeZo04R17iK/qheM7eiurE2pd1bCZxugeaZzCmVLbvDa5m0Zc2LGvJdivp15znGraZshr/Dk+l0aOydrBreEtOTgbcdjiSW74V/zq0+mVTa5oiec1VGZ13j8nWjMEpCABCQgAQlIQAIxIaA9uZiYRt8PQokU30+hBlBXAlq060pa/URawOzfXvp68PdHKsfx27Pg+r61j6ygGP4wE5528VbK3R3yuTt9N5lzt8L2vIrO+zV3Xpbv2az2mZ3aDyn6LZgTGibzd/CYc2QnMxk6N675SqMPVsMnLpMRlUd4/+nO3W82n7niyhx1yi+EhATnSJH5Tyjfwp3wrwXua5ort+4dDt2auK/jpuTTC8Bs5HdtDCtPXO/lpp45/nXnYNh8CJ4J8ki9ac/8zk0ySNeBnaxrHrb648xT7/yraQ7MI099c9zMkspIQAISkIAEJCABCUhAAh4T0J6cxyYkTsNRIiVOJ17DthfQom1vphreFZi9De744NQ/hA8U8S394GejnD+8D8dnbj96ZRn8ba5zZVfVLyUBXuq6m6ETF1LveJXHUSoXblcfbuwPreuHIyz/tWESE+ZEg5nMqvexmfc4RreDwa0CH6fadBAem3nyIzjBBMxdat8a7P40kDn5YpIM83fAol0VfaUlwhntoF8OdGrsvj2TJDIJDNOWzReJd13+PtfZxDePDpm43H7mJNUNfeD9NZBb4K7W8NZwbV9I8enDTO5GaVfq4zXw4Vq7OgNbwB2DdCrFTk2lJSABCUhAAhKQgAQk4AkB7cl5YhriPgglUuL+JyAAtwJatN1KqZxfBObtgEemwuJKj81Xjt0kTr4/DG4bAOkRuF1o/zHnTZp5O+FIobNP3LkRXFe2m4bPz3e3Qd08A+4a6ty/FoufuWfObNibtzPMtWbln3lw5rVlsKiaySsv1yQdbh3ovLlR+TOnRN5fDZ+ud6eWmgh3DwNz5ZSbzzxo/+oyWL635tIXdnUe3nHzHohJ/pjjTLafuZ/vodHONVzh+l5aAuYHXP7YvNt2TSLFnKgKNm9V2/vuUOjT3G0vsV3O3Ln462lw2GUiqlzDnE76yUho3zC2fTQ6CUhAAhKQgAQkIAEJxKCA9uRicFJ9OCQlUnw4aQo5OgJatKPjrl4jK3C8CGZth8/Ww5I9kF8EbevD2A7OkwLmWYc6/UyC4DfT3B2VKQ/MPCR9U/86DTOinZkkh3lzY+ke+Gp7xWM95rou82aGuU7qrZXOaRQ3X+M0MBvxraqc3DFHg8wVX19sqrmV9CS4bSD0drmRb+bw2UVgHmR385lkyviuwU+mmJM35pGdUL5wX+u0YIfzRspmF2+jVI7XJKI2HXLe+7H5Tm8L3+xXc43SUicrunLviUfv60HDVBjY0v46NpvY6rrs6n3wf3NC69XcT2hOQ+mTgAQkIAEJSEACEpCABHwloD05X01XzAarRErMTq0GFm4BLdrhFlV7EgggMGsrvLDEjsb8lf/PzvD+FV8mS2X+mt7cBJWRDOb6raqfOZrz0RqYurn6a7fMFVvVHSOqTu7sjnB5r1P/qdnQN1dlzd3uJG4qfyaBMqodDGpll1EzD8Gb0y423w+HQ9cg75hM3wIvL7VptaLstwY5CYVwfeZaNXM6Zs9Ruxa7N4HVLhNMlVs2v/FfnglNMwL3N3srzNoGaw+c+s+TE5xTMKM7BDe2G010Si/bDX+bF1rf5r2ZsR1Dq6taEpCABCQgAQlIQAISkEDUBLQnFzV6dVxJQIkU/Rwk4FJAi7ZLKBWTQKgC5q2JJ76yvy7J9HdJdzivS6g9R7be16dLdjvJkbxCpy+zuV3+Tog5aWKunzJviry0FBbUcNLE3H/Wpj5sOGgXs3mXxFxv1biajXhjb05K7D0K5joxc69bh0bQON2un6OF8NvpcOCYXb2zOsCVvWuuY07nPLfIrt0TpYvuHsrSY2nsPlyKOfDTOLMeA3qlk1Y/JaT2vq70u2mw5bBdffPovduTOlVbNtdSdQhwLdXnG+HdVcFPuZhr3q7t4/5kkd3I6q70mn3wZ51IqTtw9SQBCUhAAhKQgAQkIIHoC2hPLvpzoAjMk5v1zKXR1CsrM1sL+iQggeoEtGjrtyGBCAuYTfifT4Yiy2uPTFgj28INQa4+inD4pzRvTnt8cWKTu6b/C2uubbq0B8zc6myI1/SZjfi1++0eiS9v78Z+MKJtZBXMw/L/Xmjfh0ks/WJM9Yke0+KeI/DotOAJg0q9H26WzcRuXXmnXlOm7z35oZ8BDYu4KucY5/VKpFm7EN5P+dd8WGj58L25li3QqRE3YoESKV9tc5Jvbv+dMe/E3DUYWmS76dGbZQ4fd95IKU9K2kR5/+mxdc2ZzdhVVgISkIAEJCABCUhAAj4W0J6cjycvhkJXIiWGJlNDiayAFu3I+qr1+BHYmefsP5ubrswBi44NnXe065lrr342KbQkwWmt4eYB3kE0f5swcT285/KKK/P2iXmgfVMNb26YB+dNwmjqltDGeWl3ODfCp3bMYzvvBEkGVRf9j0dApyCP2ZsH7M3JHhffrrZN+UXrvkw4WM0pnBNtDGtYyO+HFdCpZzXJBZMcWrbHOa2TX+yc1jFXbLXNhndczm95vKFe7WVOLP0yQKLpb3Od2Gy+8Z3h4h42NbxX9sM18PFau7gGtIA7BgV/i8euVZWWgAQkIAEJSEACEpCABOpAQHtydYCsLoIKKJESlEgFJOAIaNHWL0ECtRMwt1t9tBZeXHryH5Obc5HmvfEbuhcz/F9fUO/wieuvbLo7sz1c3cemRmTLhvIgds+msHJf4LjMGxn9csCc2gn1RENdJFI+Xec+eVR1pPeNAPMYe03f+gPOQ+NBHms3J1Hu7zSECYdqTqKUdzWkQSFPjimkRcesit437IeJG2DZXjBXn1X9slKgWQZsPOT+tzSsNSzeBQUl7uuYkmPawzVVft/mUfkn5waOrabW29aHH45wEkJ+/bbmwh9nuj+JY8Z55yAYEMZ3cvxqp7glIAEJSEACEpCABCTgQwHtyflw0mIwZCVSYnBSNaTICGjRjoyrWo0Pgckb4fsTwLylXt1nEiqzmqyi5cz19ijhfkzcPoKTa7y+DL50d3LivxXNtUsmQRDofRGTZDFva3RqBOsP2m+em05u7g+ntantyGquP3UTvLo8tD4eHAWt6wevO2+H81ZKoOTGidrvDOvHD3LtrjF7uEsed3zjxKmU9fvhtRWwLcgbKCbxY06q5BYEj7tBqvOWz448mLQxePnKJb4/DHo0O7nOWyvA/IsVynfXECcx5+dvwQ54pubfwX+Hd3E35w0l5zpbfRKQgAQkIAEJSEACEpCAzwS0J+ezCYvRcJVIidGJ1bDCL6BFO/ymajE+BGZthZvfc/dH+Pc2O8h902fawTTPgJ+eAeknv4Fh10gYS+/Lh0emBD01EbDHQFc/mdMoZsPeJFLMFU/mwfF1B+wCzkiCh8dAgzS7eraldx2BX0+FEstn1/o0g7uGur92admJ402bT70KrTgzhdsHjuHLvXYPyXfJLuHdS4rIbpwK/5wPi3e7G71598RkCHceqb58i0w4uxOc3g6M0T/mwp58d+2f2QGu6AmJCSeXf2kJzNjqro2qperivZzQIrOrtWQ3vLkCzL9zgb70JLikh3MlXlU/u55UWgISkIAEJCABCUhAAhKIooD25KKIr67/K6BEin4MEnApoEXbJZSKSaCSgDlgcet77p/1aJBSxrvFS+i0cpt7R69tCodyrVf5aAM9Rm6SKJsOVSRmejSFVdVcAVad2vgucHF396a1KfnyUphu+Y7LrQNgaGu7XgtLYN1+5zo08/C4OWzQII1FOTlc8lUju7ZOlH5mYC7j0g7DC0vtkkFN0mFYK+eNG3PVV0ExpCY5DwB1aADmDZ/mld5g2ZILzy+qOfliYhrd3jnFEihJ+MpSmGbpXK4SindIonVQyVx3Z/59MEkVc4LIJPFyMqFvjvP4UsMIJw/rYIjqQgISkIAEJCABCUhAAvEuoD25eP8FeGP8SqR4Yx4UhQ8EtGj7YJIUoucE5myHq9+0C2tY/QKeyVtK9ioXJwLMJvM5nd2fZLALJbTSy/c4b1eE8nVr4pw8qfxV/e+yU8BcA2au+HLztcwCc5VTs0w3pWtfZsNBeGIOHHf5DogZn7maLdPuBEl1gX725SHuWNwwpHH8rlsu1+3dCLO329cfZB4zHww7D8OxYjCnIVrWcFXZ/nzn1MuMLScnVExCaFBL5z8mEZCcGDiWSevh7VX2caYmgnmPpm0D+7p+qFFWpiu8/DBPilECEpCABCQgAQlIQAIWAtqTs8BS0YgJKJESMVo1HGsCWrRjbUY1nroQMO9B/zWEnMJ5LQr5e4MtJE7ZFPj9CfOX/mM6wJBW3kqiGNQNB+CPs0LjdZNIMS2bR87rpwZPppgkyq0DoY2Lt0dCizhwrWV74JkFwZMpZh5v6g85lR55r2UcE784xLeWhJZI+X3XXK5duxJWV0lmuYnJzMmvxropeXKZ40XOiSOTfDHXuDVOd+Yr2Hseh47B47Ng/zG7Poe2cn4T+iQgAQlIQAISkIAEJCABCfhEQHtyPpmoGA9TiZQYn2ANL3wCWrTDZ6mW4kfgp5NCe3vc/FH+V3dA89IC59oe865EUSmYv6Y3m+9dm1T/l/rR5jVXTj0+E7YGeai8apzm/RMztrVV3j8JdN2XqWseL2+ZDceLnY34yl/TDDD/OaMtDGoVHRFzMmXmVpi97dSH4c2pGnNt1eltoVF6WOObPzeXy2eGdtrin/0Pcd7spbDFcu7MCExi66EzIKsOr5J6fTl8ucnOL5au9bIbuUpLQAISkIAEJCABCUhAAj4V0J6cTycuxsJWIiXGJlTDiZyAFu3I2arl2BV4YBK8stx+fOYP8+fc7txg5cvPnKR5zXLg5jRKcgIs33vykM0D9Oa6r+reb09LgvYNnGSFOcVgslDmlELucXhwdPQRd+Q58ecXVZy46NEE6kcm4VCYX8yNb5cxe3+y1U+nXUYJH551hAYfrDz1ejU3LYV6IsVN29WV2X8Unl0MJmnl5hvbAa7q7aakykhAAhKQgAQkIAEJSEACEvCMgPbkPDMVcR2IEilxPf0avI2AFm0bLZWVgCPwv7Pg/76y1+jUED65HtLs9sLtO4pUjQPH4C9zYM9Rdz2knDhpYx7L7tQINh+Cw4VOXZNcadcg+DVeVXs6swNcHZ+b5q9PzOX+lXanUh7onMd3RiTCe6th3g5381a51IAWcOdg+3q1rbHjMLyxoubryExybWxHuLgbpCTVtkfVl4AEJCABCUhAAhKQgAQkUKcC2pOrU251Vo2AEin6aUjApYAWbZdQKhbzAiv2wsJdcKzI2ePv3BjMswupAfZn526HKy0fmzeAD4yE7wzxOeW6AzBxPZirvswD2OYNDJMoqfoZxN7NYdGuin9ycz+olwDrzEmOYucary8srnAyG+ffHeq0G4ffgZ35fP+zRKYdTHU1+l4NivnXkDza9GkE5hH3d1efeh1ZsJau6AHjOgcrFZl/fqwQ5u10TjMt3wMlJ44vZaVAvxzonwN9cyLTt1qVgAQkIAEJSEACEpCABCQQYQHtyUUYWM27ElAixRWTCknA3JhjdibNfmh19+tISQKxLTB9C7y50vmDfXOLVOVvWCu4uheYP8qfvR0OHnNucTJviC/cCS8tc29jngoxp1HMTVde/kxCadY2OHQcEutBiywY0x5appXA2v2waDfM2lqxqZ2ZDG1PnJJYfwCKS6F9Q8hIhpV7K67uykiCh8dAg0pXX5l1Z9IGeGeVOxKzcW6u0xrSypmULo1Df1PGDNAkhczVXGagJqljYi4odpJDeYXOdWLJic7JmdZ1/LB9NSJb1uTxwOxUZhxMqdGsV1Yh/3tsNT3Xb4eR7aB3U5iyGZbscWdtSplTRHcPgfSa+3LfYC1Kbs91TjOZfwHNOzlNMmrRmKpKQAISkIAEJCABCUhAAhKIvoD25KI/B4rg673hrzeH65Vpd1i/BwnUKKBFWz+QeBZ4cwX8dLKz91/TN7y18063eRaj/DP77mZf/8BxWOZib/rnZ8C3I3RDUlGJc2uT+eP9I4XO3n/nhjC6AzRx+ea5qf/yUufQQvkf/peP9awmBTyet4LGS2u4Gsr8n12T4DCJiDUHnMfiK3/nd4GLup/KXFIKM7bCuyvheEnAaShNT6JoYCtS5213TsKUf2YCruxlt6m+/bCDNW2zcyqm/EtNdE43mDdYTIKlclLNbN6b40nDWkPPZlH/V2bf9nw+WlLMq3syWXEo8aR42meU8M30/Xxjx2Zab6r0wzRZwbbZMHM77DwSfAzmh3NhVzitbfCyKiEBCUhAAk/MCz8AACAASURBVBKQgAQkIAEJSEAC1gLak7MmU4UICCiREgFUNRmbAlq0Y3NeNargAp+uh7s+cn/T0eh2MHeHc1ih8teuPjTLhPk7q+/zR8PhriFgngwJ9/fxOnhhMczcdmrLzTPgpv5wQx9oXMMf8H++Ee7++OS8QnlrfbIK+ceBJbTduNtd6H2aO6dGKic8ujSC2wedfBqlSms7t+Sze/ZeOm3YQf1DzhssBxtnM61ZS95Pbs78vBS+12g/NyxeQppJdpR/nU3bA6Ghi4yROVHz7CLnuE3lz5xEMacvgmXETLLo2j4wqr07i0iW2nSQ/FdXMK9pDnvqpVJWDxqVFjFs107q7zgUuGeTzDJJoY0HYeW+k5NFlWuYkz4me3h6u0iOQG1LQAISkIAEJCABCUhAAhKIawHtycX19Htm8EqkeGYqFIjXBbRoe32GFF8kBI4XwdVvwWKXuQETg9l/HtHGOTxR9evZxLkVan6l50DMbVGXdYdvdAPzPrqpH87P3Ir13GL41ZTq98PL+xvbHn5/tnMlWdVvwU745jtwtChwdP/O3sjZ81bYhd6zqbNRb77ezZzkQw1XMa3a5yS1Nh5ybthqnV7y9TVrO44l/vdt+vIA7miWy0+WzCP1cKVkyLmd4dIeNce4NRee+Mq5sqvyZ+bFvLfh9sdgyt8yAIa2PrU/k+DZmw/FJc7jOq2yAz+yY6cZuPRbK2DyRruWTDzmkZ4Vu+BwMew+AruOONlBcyLH/EDa1oduTZ3EUjx95oq3zYcci6QT14e18sZ1bvE0DRqrBCQgAQlIQAISkIAE4klAe3LxNNveHasSKd6dG0XmMQEt2h6bEIVTJwLmffNb3rPvalQ7mLYlcL1fjXH2oI8UOSdPOjaEHk3t+3Bb44M18L1P3JaGS7rD4+ec+qTIQ5/DC0sDt9Mru4g3N80kc5+Lq6AqN9G9CTROd94xMY/CmKRCNZ/Ja3zzbefpFbffo812c+P0eRXFTRLgodE1X/H12jLnjZCqn0kYmOu+CgJfKxYwJvNGxwNnONkz85kN+CW7nR+HuVut/GuV5bxP0rc5NM10O7zg5fIK4PGZsCc/eNmqJa47caLGZBNX73fGbaYnIRFaZgXOttn34p8ae47Col1gHkvaV8nTZD7NVW4DW0Dv5uHPhPpHSJFKQAISkIAEJCABCUhAAhES0J5chGDVrJWAEilWXCoczwJatON59uN37I9OhX8ttB+/2WdOT4INAW5OMk9ovHRZ5A4gVI7W7IFf9abdu+Gm/quXw4hKT15sOAjnvXTyLVyV+/lFo93cNrtSwsItWXIC/L8xrt4u+WQt3PWx24adch0ySvhw1yyyd+ZWVLymN4zpELghs1luJj3QYzgm22WOxFh+X549kP8ktuJHCVvp/enSmu+Ia5wGtwwEc2VWOL7le+DJuaG1NLIt3NAvtLqxVmv9AXh2ofPQUU3f+M4wvmtk7uaLNVONRwISkIAEJCABCUhAAhJwLaA9OddUKhhBASVSIoirpmNLQIt2bM2nRuNO4EcT4c2V7spWLmWu6xrU0nkrJdD37tUwsKV9u7Y1vtgIt7xvWwtuGwC/GFNR75Vl8MDk6tt5KmMj4xdaXutV3twPh0PXJjUGaa4nu+cT+GCt/Vj+UX8z589dVlFxbAe4qnfghszD8mawVT+TFTOnS7Yetg5gc5+2LG/YhAtmLAp+t5ppPTMZvjcM2je07uuUCgt2wNMhZAJNQ6e1hpsH1D4GP7awai+Y5ElhqXOV2doDzqkcN9+FXeH8rlAvzHf0uelbZSQgAQlIQAISkIAEJCCBmBTQnlxMTqvvBqVEiu+mTAFHS0CLdrTk1W80BX7yGbwWQn7A7L2at9Sre1j+P5dUfyginOP97XT4x3z7Fs1NVLNug4ZpTt2n5sNvplffzjMZ6xm3cJV9R6bG94dBj2Y11jUHRU77d82HOapr4K6mh/jZjBkV/3h0e+ctlkCfOfZi7kKr+jXPhIJiyC2wHuPR09qSvmgHCTZXgvVrDncOqf01UTqRYjdfJpFmEiYr9sLx4oq6JpFmElsmo7dmf80JMZM/+cnI8CTC7KJXaQlIQAISkIAEJCABCUggRgW0JxejE+uzYSmR4rMJU7jRE9CiHT179Rw9gT/Nhj/Pse+/a2M4XAC7jwaua672OqOdfbu2NX4+GV4KcMDCTTszboU2J97QfnoB/M+0wLVM0uiFZls4bUo1D6gE6+ynwTedNx2CMc8HayjwP7+xWR6PTp9a8Q/P7gSX9wxceMI6eH/1qf+sWYZz3dfBIFc7BWi1YHArUudXczSppiHdfzp0rOVD7rV6I6U3jKrmCrTQpsLbtT5YDZ9tCHytW3nk5io68w6KeeemtKz68VzQFS7s5u3xKjoJSEACEpCABCQgAQlIwDcC2pPzzVTFdKBKpMT09Gpw4RTQoh1OTbXlF4GFu+DS1+yjremx+aQEmHgDdA7TMxg1RfeLL+C5Jfbxmz+qn3N7xXviJr/w7Y9ObcfsK4/rCE0PH+HXs6ZCSQ2by4HC6NwIvn/aqS/bVym764hzIiWU71tNc3loRqXjNN8eDP1bBG5q1lZ4IQCYyRa1zAaT0bH5slMoaZBG4jb7K8E4vwtc1N2mt8Bl31wOn2+ya8c88nPfCMhMsavn19IfrYGP17q7es08Lm+Om5lkSnWfuZ7tl2fGj59f511xS0ACEpCABCQgAQlIwCcC2pPzyUTFeJhKpMT4BGt44RPQoh0+S7XkHwHzR+d3fQifbnAfs7kFyPzR+rxqDiFc2xt+f7b79mpTsqaTJDW12785vH4VpCU5pfIK4ZJXYf3Bk2ud2R6mbgHzJsyEhKV0Wb7FLtzr+7o6mmMOg9z0DszYZtf88IaF/C55Mx33nHjfwmR+zNsfZoLSk09t7NBx+J8pcKzStU7lpUJ5bL59A9h5BApL7AI3pYe3gZv629erWmPjAXhyHuQXuW/rgi5wYRiSOO57jF7JLQfh7/Ptrm1rnA4mI2runKvu++UYaJ4VvXGpZwlIQAISkIAEJCABCUggZgS0JxczU+nrgSiR4uvpU/B1KaBFuy611ZeXBBbvhlvegwPH3EU1vjNM3FD9zT/PXQLmvfO6+DYchPNest/Hf3Qs3Njv5AirJmXMIY1+OTD3RMLo3qYH+MFXc0goKnU3NHNv2N1DocGJh1iC1HpjBfz4M3dNd80o4pdJWxi2ZiMpgd41MW+emEk4ve2pp2HeWwWfrj+1o7b1nau9jhS6CwLIH9SKjCW7ar4uqrrWhrWGW8L02PvMLfDacnAzN0NawvX9KrJo5fGt3w+5xyEhERqlQvtaXjvmWjHCBd9aAZM32ncSLLH2izEVR7rsW1cNCUhAAhKQgAQkIAEJSEAC/xXQnpx+DF4QUCLFC7OgGHwhoEXbF9OkICMk8NV2uHcC7DhSfQfmVIZ5fmPq5sAHGkzNuwbDj0cEvckqrKN46IvAt1VV14m5leizb0LrE++jlJc7kA/3TYQvNjv/zeltYM72k2/zeqz5Lq6evTDohn1pThYJtw+seITFxYj3HoWLX4MdeTUX7pVVxN/yltFxjYt3ScyRmkt7QkpiRaN7jsBT852TJFW/AS1g8S53V0AlJfD2uKFcOHcJKW6zcJX7M4meq3q7kHFZZPZWMHe07ckPXMEYjGwL3+gKGSeu9DKJE/PjN1eardxX8QB7wzTo3hi6NIGRdfDYj8shWhU7XgQr9zpHqswD87ZftyawtpqH59MS4ZGxkJVq26rKS0ACEpCABCQgAQlIQAISOEVAe3L6UXhBQIkUL8yCYvCFgBZtX0yTgoygwJZcmLQBXl4Gaw9UdNQg1bmdyhx8mL2t+sMH3xkM9wyr+2cTzB74tz+EVS72is3zD0+c7+ylB/rMWyW/nAKfrIMRbWBWlau2zNsq9zfbz6W7N9N63c5TEw7JCazo2Y7E0e3p3sv+2iPje+t7kB/g5i0Tr8kFvJO6kj4LLe5iu6wHnNP55OGaN02eXwTbq2RtzHVO5n2MpbtrfA+mNDWRN4YN4Kd7WvBK5lpGLFhj/8u8a4hz5Cecn3l83jx8v2of7Mt3El7mRJC5gmxIK2jfsKK3FXtgymZYuqf6CMwPxvz4x7WDZlUyb+GMO9xtHTzmnNAx/7OgpOYruqrru3W2c0Ip0JVp53SCy3qGO2q1JwEJSEACEpCABCQgAQnEqYD25OJ04j02bCVSPDYhCse7Alq0vTs3iqxuBczNTqv3wdEiZ+O+Q0PIToHpW+HDNfDBmor8gbn+6oa+YPZVzU1NZh8+Gt+a/fDAJJi/q/reTaz/ey5c2K3mCPMLYeY2+GQtvLkqcNnMpDJubJTLiKP7aVhSSElZPXanpjMxtRnv7c/gn984NXfh1mXudnhgMqyr8l6LqX9jszwenTmt+nvVAnViHrV5aDQ0Sj/5n5pNdnPFlzm1sLfSKQ4zh6e1gWNFTnbqeKWsTmYyh3vm8HhqB57b1+Dr9m5vlsv/M4/dl7kdIc5JnR+NgNQTj9RYVA1LUfOuyvtr3J/UGNUOrusblq4j3oj5F9gkyZbvhQ4NnH+RK8+v2wBaZjmPBwW66u2+EdClsduWVE4CEpCABCQgAQlIQAISkECNAtqT0w/ECwJKpHhhFhSDLwS0aPtimhRkCAJmL3T6ZuetD/P/Nu+Rd2wIYzuGthe64QAcLHAeYG+WceoVWTYh7j4CX26CBbucP3xPSYJujeHsjtDZcp/W3NI0bYuT6JlQ6QmQTo3g+t4wrhOY/7fbz/xB/08muS19crkXLoPRtbgR6s3l8M4aMLczmZNCJpdhDlb8PXkdfWeutg/quj4wqv2p9bbmOpvu2aknJ0LMMZ+iEucEh/nB1DNnccx/VcbDOb15ZX/F6Yy0JHgjeRX9FgV4dyVQpKap2wc5J1+25Tr3xJmTH43SoEW2/dhCqfHKUufH4vYzMV/cHc7r4rZG9MqZf6FeX+70n5EErbIDZ+WCRdi1Maw/eGrSzlzJdkUvZ870SUACEpCABCQgAQlIQAISCIOA9uTCgKgmai2gREqtCdVAvAho0Y6XmY6fcZaUwlsr4e/zYMOhU8dt9sev6Q13Djr5xqO6EDKnPv6zBP4+Hw4dDxzb9X3gO0OgpeXeemkZmJurjpqkUaLzHrY5UWP7LdoFl7xmW8vpy7zBYht3eU/FpXDtW07iyyQpzA1L5n+aEx9vbppOxvZc+6DMtVa3DQxcb/keeHqBcwVUDV9ZejLPDB3EI7ubnlKqa0YRfytYRbcVQZITZu/dvIuSVM+5N21jpR+m2Zgf3gYGtgDz0HlihI437cyFpxcFfiOmJgDzfsydg+3t66rGlkMwbyeYx3ZKysDwmeybec/kszA9Nm+uOTNXxaUn19Wo1I8EJCABCUhAAhKQgAQkEAcC2pOLg0n2wRCVSPHBJClEbwho0fbGPCiK8AiYJMrf5sEfZwVvr2cTePIC+xMgwVsOXMIkUX41BV5dEbyFQS3gr+dbvdkevFGXJcrK4K6PTj7d4qbqd4fAT0cGKWlOe5hTH+baJHPao36q845HYgLm3fbT/g2FVfIaXRuUMmn1585jNbZfl0Zw3+nV11p3ACathyUB3gsxyQ+TRDi7E28fb8R9EwPf4tUmvYSfp25n5LatNNxeJXNn2hjUEvrmwJcbYVOQZNB5nWF8l8hc/WXup/t4ra2gc8/dN/vCkNb2dSNZ48BRmLjBmbtAWUnzaLw5eWRO/rj9TDbQ/CbL39Dp1QyGtoKBLR0HfRKQgAQkIAEJSEACEpCABMIooD25MGKqqZAFlEgJmU4V401Ai3a8zXhsj/etFXDfZ+7HOKwVPHsxZKW6rxNqyX/Mg9/OcF97fGfngXhzuqSuP/OEyJ0fuu/VnPJ540pnvzngZx5DN0ddzKvylU9jmMI9m8LQ1uzvmsPgF5NPeXKkVVYZ0zZ9SdL+Su+ZuA2tdzO4e1jNpc1Rns2HYOU+OFwAJvlhNtPNJnq7Bv+93uujtfCLL6t/dqNbdgmPdz5A75IjJBaXOMdpOjSC9ER4aj7sOOIuajPxF3YP7xVS5q40c+3V7O3uYqha6vwucFH30OpGota+o/DGClgaIAFWub/+ObB4t/sIzu4EOZnOqaCmGc5dgJE6IeQ+KpWUgAQkIAEJSEACEpCABGJUQHtyMTqxPhuWEik+mzCFGz0BLdrRs1fP4RUwJz6ufNN5a9rmMw+kR/oJCPMmyjkv2h+qeO0K59anuv5MbuGJufC4i5M9Ju9gHrO/vGc1Ue45Ai8thbUHahxGaf8cnm3VlVZ7D9G24CgpZaUcTUhkcVZjzi7aR5u5m+wZzukEl1UXmH1zJpfz5WbnYMeyvVBa6uy1f6MbnNUR2lY8oVLR+LurYKLLd1TKa/1wOHRtYh9gdTVW7oWvtsOcEBMp53aCS8PnWOuBvbQEZmwN3oxJZpk3T4IlXMyPeHR7uKIHJJn75PRJQAISkIAEJCABCUhAAhKIvID25CJvrB6CCyiREtxIJSTwtYAWbf0QYkVg8ka47X370VzSHf4y3r6eTY3XlsFPJtvUcMreMRAeHm1fLxw1zC1cLy37/+xdB3Rc1bXdo95775YtuRfZcu8Fg+mmdwiQQhIISSA9n4RAQmgptABxQieYFptmgk1x703uTcWSrN57m7/2XI01M5rynizbY+uctVhg65Zz9316WTn77bOBP68DmtrtrxgdAPxuNnBppoMda1uAJdtdm37TEIUqkGPVdj1L2uKC4RPtr8gYOtBrjZ9MAYb0IyFhsS/xYRs0H2d19+pm4JHV+tpLcY/5g5Sx+alEYwuwoUgZBZU0ACkhwObivq1Iw3m2HOvv4F3uKQOoWPI0APFBQEZvLxqrbfeXAS/v0P4cUC5FUopkyb5y6/5s/Dv60pBsuSijv08n6wkCgoAgIAgIAoKAICAICAKCgCDgFAGpyckD4g4ICJHiDrcgOZwTCMhL+5y4JklSAwKPrwOe26phoM0Qen1vvFOZs5+u+PlK4D979a9OomLdt06PZYbWbIrqgC/zALa2Olqt6t3smHVxBjAnFYgMcLLSqmPA+/udb0UZB41RShtdpzQ6RjuZwtZc92Sf3dZM6wqUGkdv0I/jd3OAMD+9M9X4TceBb/KtPVmmJwPbTwBeHtifFo/1AdGo8fCGAUbEdbZidnUJEo+c6G0EExMA3DYGSO9HQqqgGth8QvnlkDwzh7+XaqlGb5vZg+yf/a0cYG2Bflwo7fLyAJrbAKNBESvh/sBlmWenf57+E8gMQUAQEAQEAUFAEBAEBAFBQBA4zxCQmtx5dqHn6HGESDlHL+5cT7uyshLLly/HqlWrsH37duTn56OjowPR0dHIzs7G7bffjsWLFzs9Zn19PZ566im8//77yM3NhaenJzIzM3HDDTfg3nvvhY+PT7/CJC/tfoVTFjuLCNC/4pVdfUvgq1uB9Ii+zdUy697PgOWHtIy0HuPrCWy8C4jw1z/3dMwg30HiifVol0FfjsfXKzWEowj3A4J8gON1Lpc7OYBkiqtWTSQgSKIkh2pf93SM/OSQYqD6Er+YoTxa9MaG48Dygyf7yDVHBmFDWjK+DorBIfijucsDAT4GeHgA5Y3AwUq1QaCXEbeE1+KmE8eQdvREz67TkoFbxujNwvH4bUXAZ0eB4nrHY0hyTE8BLs8AgmzIpGc3K2WJ3ogLUoqXHSU9M28cBcxM1buSjBcEBAFBQBAQBAQBQUAQEAQEAUGgXxCQmly/wCiLnCICQqScIoAyvW8IeHt7m4gTc/j5+ZmIkMbGni+tFy1ahPfeew8BAb0/4ybxMmfOHOTlKS8Ajuns7ERra6vpz1lZWSaSJjw8vG8J2pklL+1+g1IWOssIPLoGeGl735Kg6iPJnr9F35brNeunXwDv7dO/GPmADXcCAd765571GTmlwAsuJEI0mqfJu44wRgfAQBOXymb7s1gsv20skBpm/+fsU8ZC/Il6oL0L8PFQpvBs7+Tbz/4YHx8EPj2i43QWQ382HUhzcAZHK1Y1Af/YBhTWmRQXayaNwJ87k5BTb/8BotgkKx5YU9DTvi0zoB1/bz2A4fsKgFBfgG29pib37Qy2s3JKlEKprEnbejNTgBtHW4+l9IxKFr0R7APMSFYkDoPYfncCENpH1Y/e/WW8ICAICAKCgCAgCAgCgoAgIAgIAjYISE1OHgl3QECIFHe4hQGYA1+AkyZNwh133IELL7wQ6enpJhRIjDzyyCNYsmSJ6c+33HILXn/9dSuESMCMHz8eOTk5iI+Px2uvvYYFCxagq6sL7777Lr797W+DapWLL74Yn3zySb+hKy/tfoNSFjrLCPTVh2RsLLD0GoC+1KcrXtoGPLpW/+qXZwLPLNI/zy1msP0S2zA5Cspa6NTuwoTe3vTi+UMRlVcBn6PdcgoOGhUNZCeq1lBUudgGFTI0KP86zz4JwxZjc9KASYn91w6Mey3tQ083yn4emg1EB+q7yk8PAR8rBcyqaaNxT00KWjtdL3HhYAWLeeyooDb8qz4HsSNDgQv60RuFfjnbLNQurlKjMuUGG9UIFSk0qDEYlElNTQtQroGYoaxrZCSwplD5xdw+DogP7p3BoXJgdzlQxw8Yuk1w+JxSISMhCAgCgoAgIAgIAoKAICAICAKCQD8iIDW5fgRTluozAkKk9Bk6mXgqCHz11VeYO3euwyW+973v4cUXXzT9vKCgAMnJPV/5kmS5++67TT9bv349pk6darXO22+/jZtuusn0dytXrsT8+fNPJdWTc+Wl3S8wyiJugEBpA3DBGyc7GmnO6NG5/du5yN7GR6qAi95UAgg98dKlAIvcZzVoGM+ispH9n7xdmKJYZOrKH2RwOJBfC3ToBAVA1wXp8KBSgkV0k6rEU/mJkICwF01twDt7gS0azNZpqn5JRv+QKVS9UCpFBY2eoJ8HVTV64/nNwJ5yHByZgqsxCvUdDvCwWZejyCF9pcSQpvjT8HrcNMm77z4ttrkfKAde3g4096g2NR0vOwG4MwvIrwJ2lAEFNaofmRlSEiSxgeo54i+aI6ipfmpoA8icTk7q/RzvLAZ2lQEHKnq/RGgMRFP6oRHAgn4kljQBIIMEAUFAEBAEBAFBQBAQBAQBQeB8RUBqcufrzZ5b5xIi5dy6rwGT7ZYtW0yKFcYHH3xg5Zcya9YsrFmzxkTEfPnll70wMRqNGDx4sMk35bbbbsOrr77aL7jJS7tfYJRF3ASBpzcAf9usPRl2LlpxE5BwGtt6mbP5v6+AV3drz21EFPDutfbFFdpX6eNIFv6PVQG7S5Wxd0u3rIEFZbZ5YjE6M9K5SfeuEuDFbY4T4PxDFooSPanOSlVKBa3x/j5gVa7W0cD1I4HZadrHOxv5xm5g/XF9a9HfZXSsvjk1TcBj602k1zPTp+DJCn3m8NnxwL6KnhZfEyLa8dY1HvDz99SXh6PRb+eoHmJ6g+Td4mFKMlPoxFfF2wMYGQPsKbNPzi1MB+anA8G+vTPYXAisPOZ8fc6iaRHXWZSp9xQyXhAQBAQBQUAQEAQEAUFAEBAEBIFeCEhNTh4Kd0BAiBR3uAXJoRcCbNs1Zowy7WW7rmuuucb0301NTQgODja18Xr88cfx4IMP2kXv+9//Pl544QXExcXhxAkd7VGc3IW8tOVBPZ8QqGgE7v+ftnot664vXgrMH3RmEKC39g8+BbZbeF072pke7P++AsiKOzO5We3S2gF8fhRY4cLbY3IisHg4EGKnMG16sbUDf1wDVDnwMjkVImVuGnDtSG3gFNYCf1rrWKlgbxWe6dcz7Rfdte3aMyqvGnh2Sw9D4Wr++Hjg1jH6/Vp4zic3oCouDIsiJqGk2cPVTlY/pyqFvvLsfmaO/y5sQtbw3n5euhY2D355m7XRu9ZFSNpR2aPFV4WHGBsHkMSzVKbQDOb72UCMnVZexyqA9w5q912h+uniIcBCUaZovUIZJwgIAoKAICAICAKCgCAgCAgC9hGQmpw8Ge6AgBAp7nALkkMvBJ555hncd999pr8/cOAAhg4davrvbdu2ITs72/Tfn376KWhIby+ef/55/OAHPzD9qLKyEhEREaeMsry0TxlCWcDNEChpUN2Ulh9ynFiUP/DkBcDcM0SimDM5Xgc8shpY0e13bS9DdiB6bD4w7myQKJ1dwEcHgf8d03arLPrfPBrwt29mjs+PAMsO2l3LmBSETqMHvIrqtO1lOUqPYuSzw8BHTh4GR7uztRZbbPVHsK3Vkh1AY7vz1UgaUGnTFwP02ibgT+uxcVAyrm9R/9uiN6YmARsKe2a9PrgEs3LzgZYOZSLEvIZGqtZYeoNGQTs1sIiW65ILGhUD7C7TvhuJDvrdHK1Wc5j3ZZmOf9k/3A98ofF5N2fBX9J7J2vPSUYKAoKAICAICAKCgCAgCAgCgoAgYAcBqcnJY+EOCAiR4g63IDlYIVBTU4MRI0aYlCQzZ87E6tWrT/78o48+wuWXX276865du06qVmwhXLZsGa688krTX1PdMmqUjtY2Du5DXtryoJ6PCNCLmp7WrI8u3acsPlhfnRivugTRD0Kvj3d/4cTctp5QnYTIMTA38hCzUoBLM5SntT2v9P7a3+k6bIv0/BZ9W900CpiRan9OZRPwj61AkXVLpuoR8Xg6bhim1ZVj0dY9+vbjRf5mFhDlQilBPwwSGJ8cBkob9e3B0ZRn3KIUhP0S9PagRwvbW7XZOMAnhaj9JiYAgT593+4fW/GVRxjuaO6bWsKWSHnb7xCm7VLm9SfDywMYHQNQkTRGB9v3yg5gswaPGsu9mNDWYv3mQvQzodcJlUULBwPznDCmf9kAHK7Shzm9eK4bDsw6w0ysvixltCAgCAgCgoAgIAgIAoKAICAIuDkCUpNz8wsaIOkJkTJALvpcOSZbdl1xxRX4+OOP4efnh02bNlmRJW+99RZuvvlm03EOiOsNqwAAIABJREFUHz6MIUPsF8G++OILLFy40DTOniG9PTzML2VXWNGDRUIQOB8RqG8D6DXOVl4hfgDrwO4S7KJFkQI/mg9wIOo4o7n2xc8jLQy4f4piquwFFSev7gIKlfKkLiMaP48dg0/L/XBxZDOe3b4anlQ8aI0F6cBVw52PLm0A3spR7bSqW7S31bJclWTBPRO1ZqV9XEUTcLRK5UTPmXB/5Tfj66V9DUcjVxzG+nwjbmzpm4fHlERgY5FanNf5hXEn0vZ3/4XtnqkhwIVDgE6jat9GXx2SQDxLTGDvDNfkA//Zo6/FGo3mSaToDCNbec1IRmdcMLoi/OATGwx42vnFpzcKn82+/M8fiaTbx+nMTIYLAoKAICAICAKCgCAgCAgCgoAg0IOAECnyNLgDAkKkuMMtSA4nEbj33nvx7LPPmv68ZMkS3HnnnVboCJEiD4sgIAicdQToQ8GeaCyI640fTgJGRDueRWXKtmKTcf2LEybgj3mhJ8c+GVuCa9du17bvoDDg7vGKfHAUNc2qjRZbO8UGAs0dSvajNybEA3eN1zvr7I0vqTN5kLQVNqKk3RNtRgPKfPzxVWA03qgJNfE2rmJGiumKTHFrdD0eWe/ieRgXCxyoVK2/zEGmcnoyMDUZSOm5Z3R0AM9s0af+GBUN7Cl3lbb9n/N5PFhhIneMQ8LRlRSKrtEx8E4M6Rm/8gjwgf3Wcy43pYHRtye4HCYDBAFBQBAQBAQBQUAQEAQEAUFAEHCEgBAp8my4AwJCpLjDLUgOJgQeeOABPPXUU6b//stf/oL777+/FzLS2kseFkFAEDjrCOwtA57T2dbLnPRNowFW4V1E1fFGXPKZP4otjNBZd/9jVAmu2bLLuTKFhfEbRgJRdtQOlvuuOAIs7y6OJwUDqWFAeRNA1V1tK1Cmsc3XRUOAy/vmNeIKh37/OX1tdpQANAiyDQNQmBmPlyMH45VKC2LDZhztWXKrgbo29YM3g45ixrYDzlOlooY+MpYO9eYZgd6KiGKbLXOsPKrMizq6tEFAfxS2m+tLUBlzqNJqpnFoJDomxKN8TKqJ/wkorkbkriKk5ZXAu0En2TY+DrhbiJS+XI3MEQQEAUFAEBAEBAFBQBAQBAQBhYAQKfIkuAMCQqS4wy1IDvjZz36GJ554woTEk08+iZ/+9Kd2URGzeXlYBAFB4KwjkFMKvLC1b2loNH9ftrIW9+21X8y/JKoZl7WWYXrRcYScqFV5eBpwbGgSdkdH46L5YfCLcqJE4fjGNuCPa5TZuJ83QJXNcQsz+wh/pVJp7wKOuPDFeGAakB7eNzzO5CyapdNwx4WQqDXYD38fOx7Plts/09w04Ks8lfiPYqrxoy2btbVcGx8PbD9h/8QkU2jKbqlM+fQQsOKoazIlIVjdFQkivUGChy3nzIbzpv+HAhwamYqVMUl4szYUhQ2Gk6vOiGjF4s4KzC0uQGShRr+UmSnAjaP1ZibjBQFBQBAQBAQBQUAQEAQEAUFAEDiJgBAp8jC4AwJCpLjDLQzwHB588EETecJ4/PHHwT87iqamJgQHB4NeKs7Gfv/738cLL7yAuLg4k2l9f4S8tPsDxYG7Bj+AZ/GVYgZ2UPL3AkbGACzKxgUNXFzOyZMfrgT+srFvqd8xDpiU6HLuEx824NkC5w9GakAnsoLb4GvsQi288GWlr8mb/euLGjBoqIuHigX9feXA/nLljeIoaAAyPArIKbPfUoz+KN/NBmgq7s5BUuLTI9raogFoCgvAfUOn4Isaa0KKv69bioGGNuAn0VX4bs5O+NU2azv5kHCgsN66vZflzNmpwPWjrNeiMmVvuVKM2BJAQT6qTdzUROBQFfDZEW15WI7KiACOVSv/FoaXB5ZPHYsHKhPQ2ul4ueGB7Xiq7RBG7ulmlBwN5Yvu9rHAmDj9uckMQUAQEAQEAUFAEBAEBAFBQBAQBLoRkJqcPArugIAQKe5wCwM4B8t2Xq5IFDNMs2bNwpo1azBv3jysWrWqF3o0g6cJ/bFjx3Dbbbfh1Vdf7ReE5aXdLzAOuEVoOfHKLuCf21W3JNsI9QXuygK+NQ4I8R1w8JybB6bz/VMbTprCaz6Enyfwm1lARIDLKY9+2IiXCly05nKwyufz6zFsVLDzPb48Bnx+FKjv7k/lbDRJEhImu0qtR4X5AT+YCFh6abg82Vka8LcNwEGNCoruFD/LHonv1aeZ/hTgrexM9pUacUVwPRbUnUDWvlx4OGMbbI+aEKQIi1IHLdPYu43Phz0D+nUFwNEqoK3LpBgxvSzoTZMeoXah78tLO+y3LHMGOduJHahQIwzAJzPG4Qdlia5EO6bhqf4d+FfrPgzZf9zxDueaf85ZejxlW0FAEBAEBAFBQBAQBAQBQUAQcI6A1OTkCXEHBIRIcYdbGKA5WJIoztp52cJDE/q7777b1B9xw4YNmDx5stWQpUuX4vrrrzf93cqVKzF//vx+QVhe2v0C44BapKYF+NWXwCeHXR970RDgsfkAa9MS5wACX+cCS/fpS/SCdGDxcE1z/vLfBvw1v29SpTWXNCBliIO5bOm1twRYV6TPzJytp9juy9z+izIqKg3oq3Km40C5InUoC2H4ewP0CKHhuodH72x4V+/uc9nSy3ZiQ3wIfjdyEjINTRhrbERwSS2i/Y2ILqhwTIY4w4Ltz0rqgSYLw3nb8Ro9dOxus+yAIse0Btu6kUjjiwpAcUYcLvAZj4YO7eqia6Ma8eTm1aoFnG3EBAB8sU1O1pqR+42jH0xLp6l1HqgA8vZ0vxwlI0FAEBAEBAFBQBAQBAQBQWAAICA1uQFwyefAEYVIOQcu6XxM0dIT5emnn8aPf/xjzcfs6OjA+PHjkZOTg8TERJPihGQJ2329//77JpKlrq4OixYtwqeffqp5XVcD5aXtCiH5uS0Cf1wLvLhNOy7fnQD8aob28TLyLCJQ1Qw8txk4Yce03F5aAV7ABYOVmXuXUfV2y4gEhkUqjxKb+GptLe7Y5tjw3NHJ58e14+VFRniG+PQewpzfzgHC/ZTpuQuvkF4LUL1AImZyEjAxAQjug4SqvlV5rrCAz3p9qB/A9lIkQ1xFTimMawtgYKsrYmgZXIum6ZSNZNu0TnttF7Cx0NXq9n9+0WDlU2IO8jQkbXb3wdg9K861j8mVQ4GFQ/qWa1sb8OEhYHW+67slEUYFTGGPL84bk8fj1zXxuvYmv/Cp9x4My8m3nhcfBMxJBWYqRc85Fe2d6hklWbfheA9JlBoKTE1WhJ0GVdk5dWZJVhAQBAQBQUAQEAQEAUFAEHBzBKQm5+YXNEDSEyJlgFy0Ox2zoKAAqampppQ8PDwQHR3tND0qV/iPZeTl5WHu3LngvxkBAQEmIqWlRX1Zm5WVZWr7FR7efwbI8tJ2p6fI/XNhHe6iN+1/qO0oe28PYMXNwJDubj3uf8oBnmFBLfCv7UBZk3Mg/EiaRCifEdtgwfnCIYqYMPQoAVrq2nDtBwbsrtVAMFis+beQ47gytB64aoT1Tvyy/rXdwJ4yYFwcsNPGmJztuwaHW+WAji4gt7qnKD8oDEgKBq4frd8TpaJRmYuwyG/ucccHnkbnVLtw3UERilxigd8mGjYUI/DDvTCYVSiOEPf1BK4eAcxI6Rnx7+3Alj56ZVk6y5tX5NprC/Q9/Lxakjxru9tgRfkDw6OVqoakEH/O/mFJIcCcQfrWth1NZQrvuai+9zok8Ig5VSgWJGBbqB+uGzoTO2rtEHAusvlFRDnu2bBZjSLZwPXp3TI69tTOcTZmk2x8d69SHJFwNHvHMBeyRjQhOlEP3DoWGCu+L2fjimRPQUAQEAQEAUFAEBAEBIGBiYDU5AbmvbvbqYVIcbcbGQD5kPwYNEh7oeihhx7C7373u17I1NfXm0zqP/jgA+Tm5ppImczMTNx4442499574eOjvyDkDH55aQ+Ah7Mfj/jSNuDRtfoXpCKFypT+Ctp58OP5qiZVI48NVB/Ue9rpgNRfew6odUoagLX5wJqC3qwZyQkSKIyDlc5huXYEMCfNish4f1UdfrInRDOcI4La8WbJFkRU1QPfGQ8MtSCp6bHxZo5ai+bx+7t9MVgcHhoFE2lC03H+2xwkJVgU54NzsALwpXH4GGCsPtUCjtcCr+zsKdyzRRLbSrEonVtjrS4hmTMlCRgTe1Lxkre9CqlLt8NAwyEtQeKKbcdY6C5vBL44pp/4MO8zfxBwtBrIq+nZmS2rAn1U7lpjaCRQXKcK8xMSVIs0yzXN6/AXdGQ0MCURSDqFtmmVTcCmQqC4AejsgtHXC4baFmV0n1/bK+uKzFhM8si24g20Hu3aQW140itPtb4aFQVE9K0lndb9Tts44vPmbvW8U6lTrT7MsAofT0U48lm8JFORkhKCgCAgCAgCgoAgIAgIAoKAIHDaEZCa3GmHWDbQgIAQKRpAkiGCABGQl7Y8B3oQuO1D4BudH61zfX7s/uZiPTvZH1vRBPzvGPD+PmCrzcf489KAy4cCCwb1rTvTqWd3Hq5AwPeXAyzGsusUSQgWY3eWWpMTzo7+nQlWhdnOti48u7IFTx92bU6f4t+Jf3QcwMg9SqWHmSnAjaPVf7NV0d83KUKAYSZSWBTmf+8udd4KigoRsm8838+mAfEayJ2cUiCfRIMB2FKkWpox6LMS6e/an4XF6lvGYFVTEMZ9sweRm21aRznDkTYWVw5TJAIVNeH+PcSRnkeP6g0av1OdQCKEMrPGdrXCpETgcKX9YrvtHlSfpIQChyoVQbSh0HXrLSo6JiUAk5L0ZOx0rPFvG2FwQOiVDE/A5K6sPu1F659/Xtanqe416ZNDikw0k4zOsmNrNBJ2d2YBUa5/P93roJKNICAICAKCgCAgCAgCgoAgcO4hIDW5c+/OzseMhUg5H29VznRaEJCX9mmB9bxddMHrrmvF9g4/JBxYddupwcIP3X++EthY5HydSzOA380GogNPbT+ZbQcBeiu8vlsfNPQg+cFEK7lQxz+3YWlgEp6tj0JRc2+ja3aEuiy6CfdWHkXmfgvmLj0MeGC62p8F/79s7MmFpIijFl+OMqa6ZkI8QDN0KlPsRVeXUuaQmDlQocgCnon/zWALr4Rgzb8YXWlheD9rJK75ehsM9tQB9nKI9FWKGUuFEMkbkkFljfrvw5w7ZxI3kilUdTDmUa1SZVfhcXIjEkL0gdl+QpFbzEtrUJlComteutYZTsd1/vcAPP9n34y+ITkcM8KnorpVu9G8ebPLMoFnF/VLimdvEbY6e2eP8kXRGmxjRvXU7HPQB0brGWWcICAICAKCgCAgCAgCgoAg4CYISE3OTS5igKchRMoAfwDk+NoRkJe2dqxkJHD10t5KEC24ZMcD71+nZaT9MaUNwA8+U3YUWoJF0D/NE2WKFqw0j+nsAp7ZrBQIeuPHU5RPiDkeWwsU1KImKQLfxCdis18E6gxe8EEXUjqbMa+hFKMOFMDQ2mm9E8mD385SpMe2YmDJjp6fT04E2JKMKpGmboWFljyjA4BfzgD87Pi2sCXYsv3Aqm5FDNdLDFam8uaWXJakipb9ANTNSUfI18e0jfb3VAqOb+yoV6jw2FeubR2OMrdls1VwkEwh15CdoHxAmtrUL1tBnVIgsZcelQrJoQBVC9uLlYcOFS3Emx4cWoP70EclK1aRUI0dSulEP5k4Daogm30ac6sR8GYODMV2vFMMwGNzZuKFYv3r/n42cMc4rYdy03Gr84DPjvT492hNky/sm8c4Jhe1riPjBAFBQBAQBAQBQUAQEAQEAUHAKQJSk5MHxB0QECLFHW5BcjgnEJCX9jlxTW6T5CNrgJe360/n7ixV/+5rcE/urSf+fiFwxTA9M87+WKNR8RSmurQBYI1/SLcdyVnPjmbUf1jdtzSuHAosHNIz989reyseWGCn2sNZWBIpLOb/04JIodKBREFOmf4c6b0yzo5HyscHgU+PWK9H8sBMRFARQrP6w1W69uwaFQMPqme0xIWDASou7GFD43C2+GLrJi0xNlbhQyN4y6DC5J6JyhjeNppagepmgK28fH0VqbLiCPD5UaVc2FioZeeeMSRiKFEj8XHMwo+Ff888qFYZn6B9zfpWGL/KhYHET6UNoZMUgm3pybiqVJ+6gsKnD65T0J7T8XaOPrWQ+bB8xkmkSHuvc/r6JXlBQBAQBAQBQUAQEAQEAfdHQGpy7n9HAyFDIVIGwi3LGfsFAXlp9wuMA2aRTUXAde/pP+47V6uaa1+CH/9f8Z8eKwyta9Ar5eXLVG3d3aOhVXnP7M5rh09pPfy7OtEGA454BcI7wh+LMlQHJX87de4zdjb6cjyxvm/bLRoCXDa0Z+4LW/pGeJBV+slUtc6hCuCvm3rWpKqBnh06SQ3TAjTxYXsvy6CJ+lMbgObullfmn2VG9qhymA9JDFtiwhVKGRHa8mTXszFxwI4SxyvSm4UFbzJwjogobw9gZIxSr7TZqHzMK18zXHu7LaqTiPPXearlmb3g711qGEDPGnOQGWSeZm8Ze/NI5ixIBy6yIN6c4bm5CHhlJ0CTpJJG1XKN9xHiC4T7obOsEb8ZPw1vVQS7upWTP//VdOC72ZqHu+/Af2wBdmsk7CxPQR+deyYAQ6Lc92ySmSAgCAgCgoAgIAgIAoKAIHAeICA1ufPgEs+DIwiRch5cohzhzCAgL+0zg/P5sgs7Hd21HPhah0f27BRgyeWAd28rDE2wrDwG3PWRpqG9Bn18AzA6tm9zz9Qsti1bvr4RgwtLMSXvOAIqGk5u3eXrib3DUvFFcCxKYyLw82lAxNnygC6sBf64tk+wdF6aCc+LM3rmsl3W5xpbW1nuODsVuH6U6W9KazoR/vwG+DAvBov0fEC1+o5YrksVxL2Trc+27IBSXdiGJZGilRCxtwZ9SVwRMAsHKYbNtsWZ7Xpsu0VvC4NBteJqaFOtumgURBVPe6cifJwpfqYmArfq7GX1zKbeJubclxgx8mt7vFf4Z5JdaWEqz4PdfjP2nigqfS7JAC50QaYQv+e39LQ3C/FRjCPbjpEMWK28W6oSwvCblHH4pNq5cRJTf2BCO34442wyln36FbOelF8DkGAqbdTX+s1ylfsmAcOi+yEZWUIQEAQEAUFAEBAEBAFBQBAQBBwhIDU5eTbcAQEhUtzhFiSHcwIBeWmfE9fkVknyg2+SKYV2LAlsE6WdBEkU1qn7Gm/lAL/8sm+z/3U5MH9Q3+aaP7g/0QCw5Ra7KE1LBrLirHzT+7Z49yzabKz5sgrzv9kBv7oWx2sZgK+njMLn8Sn47SwDAnxOaVu7kyubgOIGxUUE+wDp4TZqHvpmPLYOqGjSvfnhq8cjY75F66ySOuDZrfq8Nein8b3xwOAo7CwBfvw/4Gcd+Vi0dY/Kh0RKexdAg229QZ+T+2yIlKc3KBN227Bs7WVJqujZ08sDXUOj4LHXsVqgdu5gNIQFoqu8CRSUhOeWw/d4N2nkbC8a3xOr2EBgb7l2YmlSAnBHlp5TAM9uti7UU/41JhZg2zI+SI7C06AYTmfjQn2BO8YCQ50U82uagV/ZeTlQBcM7tVDL1EUHY2nGcLzWHIH8pt6s7pyIFtxsLMXCkGbgStUTkEcoqAGaOpSwhtAGnYbfPX2guxhN1dGS7UpJxXZ3fAb0Bomsn05ViiIJQUAQEAQEAUFAEBAEBAFBQBA4bQhITe60QSsL60BAiBQdYMnQgY2AvLQH9v3bOz39urcUATWtAOtpLB5OTrD24mat7hergF0OuvpwXdox0PCdHYVOJd7MsV8r1bLmkstUlyA9wQ/l/7UTeG+//Vrw/DTgrixgeoqeVe2P3bGpBqPe3QJvkhQaYuX00WiakILLbbxf2GGJthUkuSqalS84u1zRM/raEUqY4ChySoGVucDru60tJnjOy4cCFIGc9Ir4/Aiw7KCGTHuGNEcE4jeTpuPRRd7Wfu6fHgb4jytVBpeiVIBeIZcPM3WnunM5QIJrUkgrnj+xHdGFVerQJA+ogtAbtq29urqAh77u7bnBdUnYMGf6cfSVSAFQPX8IwlfZ+K/4eOLEwmHoqmxGbE4RvNjzrTvqk8JQlRKF4KYWROzU4EuiMzcjjeZbOgBPA7qi/NE6Nh4BLgx6jP/cDsP2Ez1oO/JgsXcfvFOSLs5eInNTgWtHmR4TPtttJPm8gXmDlF89yhvVPdkG+/qtPW6thukeUxcfhrWJSTjqFYA2gycCuzowoa0G4w/lwbOxHRgTg4rbJmJ1PvDhgZOiFtNsWrvcOAqYn66scdwuqDp6bnNPO7pRMYqs0hs8HBVa/J2SEAQEAUFAEBAEBAFBQBAQBASB04aA1OROG7SysA4EhEjRAZYMHdgIyEt7YN+/5elJICw/pArqtT31W9OQ0dGqo9LlmUCon5rV2AasO65q4ezS1NSuuumw3s2uPNOTgcB++HqbBMF3P+nbPX14rT7fatZ0v/+Ja7UNv05/5iLtNg72sm9pN6Lh+e2IOujE/8J2orcHllwyC3csCISnB1BYA/x1s7o3R92fWE+/e9zJjlgnV6TNBdU+//eNNZfBs7ETlLkLFMmYxxcAgyOA5uMN8H9yjVJ+aIyvJw7H7XXpeOUKYK6t5zfN3P93zLl6gSoH+l9cNcK0449WAP89qGq8YX7A3KAGPHA0B1EkUyh92l+hMTOLYd8eD2R1K2b4YO8tBT4+4lh9Yy5Q84GP6QN54+OJ382ciQdrDiNwW5FKJMQHRVMGI3HlAafkUlNkIGpGJSDhm8POz6mTSLHFzkhwR8egeXYaAhKC0bmhAB5Ha9TDYTDAGOwDY3wQPN/IUXkQB0o4qmwM351lSR8Typ+K7Mvb2odF477Bk3o9ItEBRsxOM+CK5DbMeuaL3i3LLssEPjqk/zkAYBwVg0UhE7G/0vH0AC/grxepd51bxeu7gA0WJBtbz+XWOP/9sncAyviuVr9vEoKAICAICAKCgCAgCAgCgoAgcPoQkJrc6cNWVtaOgBAp2rGSkQMcAXlpD/AHoPv4mwqB+1Yor2ZncWE68Ie5QGyQ9ajaFvXxN4vbZqKlv5BlXfbit5QCQU9MTQJeu9La69rZ/OJ64JYPtZva0+7hzcXAxEQ9WfWMzdtVg7Q3Niu/iOZ2oNOZgUXPvJUTRiDqkkGICwJ+vlKbXw1r1b+YDtwypmcdS6XP6BhFSrAOTi9yKpHMnjZso5USArx0qVIpHVtVjCvW7nDut9G9Td6QBHwnZBQONnqb9r/HnoE3P/2nATnbXFmyQexnNSIaYDF4npIVccjLK5twcUsZsqvLEVTfhA4vT1RHhaAj3B+xrU3w21XS2yDe2RURyAenAf7eSopF5o7tyyjpOVptfybbYB2vUw8lW0hRLqEjqqYPwoTKERgf1oZXug4gePtxFF0wEomf7dW0SmuoH6pHJyJurR0PF7bNGhwOBPsC9RZKJ/492U57ih36q9BfpEWRJCYFEMcer4NxTqpJfWOgFMjmGTXS6D4tFIbj9cqLRScOpsPaI7/4y9VtVF+WEI7VhjD8vCCqV7ewSD8j/ppeiVnLNluTT5cMAT47qk3tZIO4cVQ00tonubwHwsnfCb2KN5cL93VAcZ3yMLJUeJGEzIwADjhhhWz348viuxOA9Ii+ZiLzBAFBQBAQBAQBQUAQEAQEAUFAIwJSk9MIlAw7rQgIkXJa4ZXFzycE5KV9Pt1m387C4vQdy5Q/s5a4NAN4YgFOi0+Ho/1pxfDEBi3Z9YyhiuL6kdrnvLoL+D87XYKcrXDTKOBP87XvwZGVjcCyQ8DevDbk1hvQBgNSvDowu70Sc8uLEHPMuadBY0wwtt4yHSuPe+K13dr3jglQhV8KL1jvJjnF2je7MW09Yd9ahPX08fGqtj4hDlg0BFjxdS1uQBlSKyrh0QlVuGVLIZsWXYdGpeJBv0zsrFeypB9PBu6f4iRfFuqPVComhywO2wuNieuZ0NaJ4o/ykLDmsBpjJxoTQtE+IgZhK12oNcxzzS3DTL4qBsDHQzFKlPg4UreQZWJuZA5JLLR2M4gOVBW90gzzQ+c9E/FyaQj+tA6I8OnC5xPKEfPWDofnsnfWihEJiMorUwYe5qApEU08SADZ8yihgobSoqI6a+8UtvXaWmy9DX1WJiQAGwtd5mVMDoYhyLdvaiCSPiR3mC8fSCpbeL+51T1knZcHakbG463ARPyzPhKVbR4ncw3z7sIricXI2nyw50xpoepuSHbpjK7JSRhUM1bTLPJIn9/svHWepoX6Y9BXucC7+3qvlByintVyDS94PtuUHS5wN6lNfwAkawgCgoAgIAgIAoKAICAICALuh4DU5NzvTgZiRkKkDMRblzP3CQF5afcJtvNqEi0GXtml70gvXwosPIO1tvwa4O6PgEN2vL/tZT4jWbXeigjQdi4KQq59F8jR6ctM0cSKmwEXVhInk3hnD/D8NiCvxn5eLKo/EF6B67fshBeTshceBmz70QL8cLWPyRxeT9w5DnhotvIIpw8MxRRsz+YqYgKNuC+xHtcVHoHvzhPWahQWX1kM9zSgs6geuwYlY2VQDF6rCUN9O5kKFb+aoT5071OwndSH+63lNzQjN0ujjEbF9uTXoJM+I1mpSCLh4kzkQ0kBiYJtxdZKC8qqRkQpc6Bv8q1VHUyeChkSRyzUs+jP4j/7oVHFQlmTs2Arq7vHmx4YpvzFMeD9/cCvGw8j5RudragMQMmsDMSZW3yxYM6WazQ5chW8L0q9qlsAtik7XNm7NxyJJBIyDkgrqy0CvcFWYAatZJLlZHrOMG8SN1RQuCA/9owZhPs9M3C4yfvkKhdHNeP56hwYSBBFBSgiLtwX2NDdNs0VHuafe3mg/JoxyN6hXWZGUvk6HYSt1lR0j2ObvE9tPHfMi1BxxOe10AmxRALugnTggjP4Ytd9SJkgCAgCgoAgIAgIAoKAICAInF8ISE3u/LrPc/U0QqScqzcneZ9pV5TKAAAgAElEQVRxBOSlfcYhd6sNWdBf+IZjfw1HyS4eBvz1wjN7FCpnfvw/4KCLLjVs6fXn+aozkNagX/bipVpHW4/jXjeMcj33zd3A71drw/pnsVW4Z9NmeNgzPjEAL9x8IR7bot8IemQUsOQy4Kr3FInyZa7rvM0jxgS34c2izQg54cDM3csDa2aNxh0nkuyKId6Z04gpJSd6FCdUT9DHw1fDOdbkA2/vUamwFVe4n5LQWPZ7I2czKNxEarQ2tOHroUOQcaIc6QcKrdUyJH6GRqq/48PkyOyehWWaunx8yJqQsec9wnZIBJTsCD0paERvGSRn0sJMniOYO8jqRy1lTeh6aTsCih3g6uSKjk8ahOTNuYqEIKnDvbUGjd6JGduqNVuoWjifDKGz1ma2e3B/9vRzRSTZy41ECgkmPuvOCv0Wc/eMHoRvGYahrFUpU3iMZX4HMDasA9hcpM4zoVt6RQN5jWEcE4tsz2wTJ6Y1SNq+vlhxQGc1PjkEfOJEicXfGRKPNEcy+6Yw58QQ1f6L0rSMqLN6BNlcEBAEBAFBQBAQBAQBQUAQGGgISE1uoN24e55XiBT3vBfJyg0RkJe2G17KGUzJ0idDz7YsGq66FUgP1zPr1McW1Kq6Nv2tbT9+HxapCA22HosO1LcXbTpu/a++OebRv52pRAbOYsNx4O6PgQYLywpXu70QVoCLN3UbeVsM7gzxxQOz5+GDQz3tjVytZfnzf16qrBRYt9YrIHg+JB+XbOkmNOxt6mHA29Mn4BdlsVY/nRbZjtdyvoF3fav1rKQQYFYqMCnRsZkNW2c9uV4lSzKCSp1SF2Y+g8OxJjEJd1ak4PqIeoztrMcV6Z3w6egAcmtVGytHBIplhiRTaLzNh87sD+LKxJ2EBovWXN/sN0JVB1nLq4YD85XfizlqDlQh7JkNmjxnbCEvG5OEmN2FffJpMRkakZSyJ48i0USCRZttj2IRqHI5rFEyZnkQvkT8PYG9+nxm/jU1G7+v6nnOfppci/tWb7BW0JAI4y+3Fv+h6AC0ZydgQmEmatu0syLslrbxLtUR7qzG+gL1YrQXsYEqQT6TVGJFBijSj/0cq5uAB6b3v7nVWQVDNhcEBAFBQBAQBAQBQUAQEATODQSkJndu3NP5nqUQKef7Dcv5+g0BeWn3G5Tn5ELPbAae1Ok9Yj7oh9cC4xPOzrGrm4HNxQD/zWDtmv7ftGnoS5DouOGDvswE/jAHuM2FpcKvv3Rc43S067yIFvxz12p40vTbIkpmZ+D/AjLx+bG+5fuXhcD7B4C1BfrnL4psxgvbV8NAzwUH0RAbgiuSpuJIQ4/S5Nnw47hsoxNDF5IpVw6DqbhvG7tLgH9sA6hgYQuoMhckSvf8jqFRuCE8C1uqfXDvROCBaQDe3wusyrObuTHUF00hAfBq74Avi8tmNdC4WICtxTqMinQgmeNKFuUInNvGAFOSrX5as7cKYc/17ZewfGwSoj06YPQwwLDthP4LpYrGnkG8K7LI3k6O1nKVVXY8kFerWqPpiLzhSVhoGHvymm6Nb8QjX9uYHJFrnJ2mfF5sVTeWe5nVUV/l4Ycz5+OjMu2sCAVOm+5SHcXOarBV26Orrc9pVm+x3RvbuFmGr6d6ltmX8JLMs5q6bC4ICAKCgCAgCAgCgoAgIAgMVASkJjdQb969zi1Einvdh2TjxgjIS9uNL+cMpNYXE3dzWv+9Hsiy8AI/A+meti1oy7DgdeXJrDdevQKYk+Z4VlEtsPhd1yIKeyu8H3AI2Tss2vUYgLr7Z+AXh0Ox5XgXbgmuRnJzI3yMXWj09MI233C8Xxlot7WWef1/Xw68vB1YX6j3pKqF0kaPHYjbb2NMbrPUkqnZeLhbLfBgbBW+76hNmeW8SzOBizN6J2VuWdSHQv26eWNxU1ES/nsdkBXaDrywRfl+mMPLAweGJ2NVcBw+6ghHcYunye5kfEALLmkrw6wThQgvqwMuHgIsO6gKz/RmYesuvUbmXPg3s3pV3JuO18Hv7xvhoaMFlTn94uxUtF6YgUHPrgFqbdQ+Nki2hAdgb0o8ajy84WE0Iq6zBcM7m4B9NsZAXh5oGhWLAHrh6AmSEfVtQJ3zPKyWDPAGRkYDW5w/T3bT8DDg19Nm4o3yYNOPb42uxyNrV9vPeGKCUgcV1uKksRBVNFTeUK1R0wzsLDPN/dnMOXinTLukjdNX3w749Vi26EGtf8cuOwB8flStSc+cji7r9nf2duPzfJfy7ZEQBAQBQUAQEAQEAUFAEBAEBIEzi4DU5M4s3rKbfQSESJEnQxDQiIC8tDUCdZ4Oe3cv8MBK/Yfjx8yrblO1uvMlHl4NLNmh7zRjYoB3r3FeRF1+ELh3hb51zaMfDinG7VsskiKZkByCgz5BiNpTjMh8m3ZIXh44OCwZH4Ul4tny8F6dmWjR8daVwIMrgRV9VLR85bUb6XudO9QfHJ2GWz2G48eh5bhuy054OlMDmA/LT/t/PbPHQN789//dD+wt11+kB1A9Mh6rsobj6s4yGJragGU9hu710cF4YfgYvFge5pB4SvLvxB/9CzHbsxZYa3FmGrHv19eKCjNTgBtH230Qil/dh4RNOgxrulcpuHw0toVEYPG73b3a7KxenhSJ/yWm4j1jJLbX+pwcQR7h0tgWXNpUgtkHj8KvrgVtgT54bUIWRtdWYvIuB8blzh5l+mzsKtX+sHM8nw22EetDPDtlEp6ojjbNvD+yEj9ev9H5KknBQFq4YgTZ5oqeLiTFLMife2fNx/JS7YqUeycBD0ztQ/KnY0p5I/DiVqCtC+BLWmvvPrb9+v5EgK32JAQBQUAQEAQEAUFAEBAEBAFB4IwhIDW5Mwa1bOQEASFS5PEQBDQiIC9tjUCdp8PY8YVm8y4+Zu91enYo+sPc8wsUdv+5/n19Z/rjXODmMc7n0CP9F6v0rWse/cuwMnxv0xb1R3pQsPhLwsGVF4W3Bz6YmoWflsVZWYHcPQ747WzgFyuBt/f2Laf1HjuRuL/I6eTmUbFoqu9AZL7OAvnVvT1EQEXKkaq+tdPyMMA4LBKGfRXAlCTV4glAc3gAfjc8G/+pVGoGZ0Hf9RczKjB/+aaeYWyZxLvQ2GYMNNJYPAyYkWp3q+Kvi5CwdKerVKx+3pgQiqPXZeHfe73wlw2r7RrwHB6WhAeDhmNHfQ+BYm+TWyLr8LO8HLw5eBj+XBaJv4cU4IotDvw2nGRpDPI2ed4YPjvi3F+FRMbUJKCmRbGQ23WqX7pz+MeUifhTdYzpT73UW1rQJNlANtjb0+Sj0uXjiVZPT9T7+WB1RDx+XRDpUqW27HpgnDsp84rqgBVHAL2t3hYMAq4aoQU1GSMICAKCgCAgCAgCgoAgIAgIAv2EgNTk+glIWeaUEBAi5ZTgk8kDCQF5aQ+k27Z/1ifWA8921+q1ovHmYmBGitbRrscV1gEn6pUNRYiv6rhDvuBMBr2X2fLq0bXadr1yKPDoXNe+LKeiSPl9yAncUXgICPcHShuUGYxWJYSXB16eko1HytUX+3GBwEuXApH+wMeHgT+t03ZOy1FTwtrw+v7V8HHVvmlEt2JDq1m5eRMaj5vMTCyCHimrcl2TR46OkxGh5k5JBDYqAui16dn4bUWPUbkrJEJ8jPjIex/Stlv4q2TFAkUNLsmUimFxWJecjPLgICAiANEBwLRkINqie1RXbSvK3zmI2J3OlT4n82SXqktH4SmPVKw8Bmxv2wTvg9YKmcK0WHw3cgz2NDgnUcxr3pLYhKsairHZKxRFfoF4eN1qeJh9YlwB1P1z46QEGO7IAlYcBnJrlJKIhJM5KIMZFAb4egGB3qqlF3/Z++g58/j0aXiuIhzzo9vw8ravtCmfzLmQzKFEi+3ImKtteHmgdVg0/hufip8VqN8h27h1NPDwXIDHcpsg3mxhR+z1BEkltp6jEb2EICAICAKCgCAgCAgCgoAgIAicEQSkJndGYJZNXCAgRIo8IoKARgTkpa0RqPN4WH4N8J2PgQMaxQN3ZQG/nK4+4j6VYL1vcxHw+RHgrb3W/iTsgkSiYl6aqfZ8xoKe4q/vBh5ZY/pA3WHcPFq184nwd53a8VrgqqVAmT4vbdPC76UUYuLmA0oyxIIzWyDpICcq0qJwUehEtBo98JPJwO4yZTJPPoZdf2z9p12d5omwIly3SYNygj3PuJneoF8DK9OWD1drB/DvHX1bj/ubjdOnUZFShIboYCxOmopDDXaM7Z3k+1BiJe7cv6fHc4KKCvqkBPkAvGQbj5P8jAR8kDoYr5cFo7LVutIe4QfcOga4ariyXWHU76tA88p8xBwocY6aASheOBwJV6Tj6qXA1hPAirhjGP7Nfqt5f5s+BU9XROq6gVeCjmHutv2oTQxD15BIhK/LVT4bGsM4IxmGy4cpcun5zUBSKECGkv4k/DcZh2PVQHsXMD1ZKYRSQlWLLZ2kTU1iGC6LmYLyVg+8klyMKZ9reC7N5+B1jI0D9pS5PJ8x1Bf/mzQK3ymwlp1ckqGIVHKcbhV8Fv+kkQ22TZwP5dRktzqOJCMICAKCgCAgCAgCgoAgIAiczwhITe58vt1z52xCpJw7dyWZnmUE5KV9li/ATbY/UAH89AtVV3QWd44DfjIFCPY9tcRp6v7iNuBpF5YG2fHA4wuAwWfYB/lAObAyF3hzj6rxMtid6ZbRwAWDgQnx+hQzv1ql1tITs8Nb8O+c1fA0F+j7YLbO/d5aOAVFMZF4fqu1OGBOKvB1vvaM4v06sbxuG2JyNXzpPiPZ2lNE6zaUy/zezif+yw8AK7pNtLWuZR5nVjz4eQHpYfg8IAbfqR+kdxVkBHXgv227EVRaB8R3M1EVzWodtoeicTrZQYMB+xJi8aP6ZJdkDcUyf7sQGKm6U6HxSBWqtlciam8x/MsbeuVYnRmLxhGxSLggGauOAvv31COwphGZEUbM2H4Ahm62rjI1CheGTjSRDHri+ugGPL5xjSIXSDZkJ6i2W85YRfMGNI2n8ueyDIC4fOPi4fLxALLiFZtKskunKuXj7NH4RXMy/hZ6HPOrTgB8iWkNetwwV40kkTHSH0+OnYBni0KREgLcNha4fqRSz7ldUJn0N4s2dHoSvGoYsGCwnhkyVhAQBAQBQUAQEAQEAUFAEBAETgEBqcmdAngytd8QECKl36CUhc53BOSlfb7fsPbz0S/li2PA0r3WH//zI/IrMoFFGQCL7+zKcyrBWvNzW4AnN2hbhX7UL1wMJDrwQWYtlLVetjiiCIJdp+KD1Afv8wb1fPGvbTfrUfWtSrXR2QWE+mlToNjbZ10BcPfHQFO79iyeCz+OSzfuVhMSg5UqpaFN+wLdI/OnDcGsyqG95qWGqkJwjgbhSICnEUuCczFtk7XqwW4ybN00LBL4TAfxwRZL9NcI8lUXRj+YEAvD70MVwD+2WcuWtCBBtUNFUw/w05LxTFc8nuw2KNeyhOWYz733YFhwJ0AZV3FvooNji9NicGfEOOxv9Na0fGYE8K8rFBdjjsa8alTuqYOxugWGri50eXnAOzEIb3RFYVe1L17zPwzP3GoYSB6YSY4ZKTBuPwFDUzuWZY/GffX6e++xnd4Xht1I39fdYoxkCllDyl6cxYhooKBWPZ+TSL6UaCMpKI2iwXltC8AXkI2qx9GWXXGBKB+RiK4Ab8R/fRjw8VT/cA1XwUPyGXXlM2SzTt2cwVg9bhioluO7wG2DqrW/umCoHSVvz6PIbQ8qiQkCgoAgIAgIAoKAICAICALnPgJSkzv37/B8OIEQKefDLcoZzggC8tI+IzCfU5u0tAO7ygCSCCRREoKAYfYtAvp0ri1FwDXv6Zv6o0nAT6b2nsM68mPrgK8srCssR7Ht/3cnAN8ef/a/Hn91J/CHNaqrkau4P7oK923dAk9Kdxhmnw9XE+38/MioFMxvH213JvkK+qavP+64Y1hacBf+HFaMKQXKqN30FX9ejbW8xbw6i9T3ZKsHx95X8WzdNbrbm4RjeEGVTcCRasWAeXmgYNoQbPUNQ72nN7z9PJAW64nsgBb4sAccTeP1hK2KJ8ofT43Lxt+PO2DlXKy93Gc/xp4oAfw8gMLuon1aqGJB2OYrrxb/nDoRf6jqlphozPW+ScBP7Tzf/F156Jseu4sF8e34Z+d+GNY6uDAaFx2qwEtpw/Fobd8c0Jf6HsTk3Ud6Mk8PAwJ9gKpm1Q/OHN4eAD1tzO26zK25SFLoadXFZ4KSHE+DMkh3xTZStUQmgy3CSPTwjskKsp3YzlL7z6XlPVD9cqTK9Tjbu0sIBn46BfDv9pwhacOXJIMSPf4iuUPQS+kPq/Wfj7mzb+OEBHc4heQgCAgCgoAgIAgIAoKAICAIDAgEpCY3IK7Z7Q8pRIrbX5Ek6C4IyEvbXW5i4OTxxzXAi9v1nTfMD/jfzUCsRa2SXsrf/si6tutoVX5o/fBs18bw+rLSP/qtHKXGKbSoR1uuEuxtxAMRFbh52054N1qoT06BSDk0KhUXtI9ymCw7UmXFqXo4RQVU4Ph5sjZtxMTgViysO4FxGw/CYC6Us4A+KFwVvkkemFUyJEW+NQ4YE6fIluc297RrYiulMF+gvBk4WtXD2lCNQKauvQs7I6OxrCsSb5YE9rLLmBzRjmsiG3DZrn3wP27HGNze6ajiYc5UpFjE83On4c/F4fovD8AX3nuQuScfuGkkQEKsoE6RBiz+B3ijMzYQLwen4m8l4S75AMsEqKB6aJZSfZljw3Hgro96RBq8p73Re+HhiDU0T8yIwIvpI/DHvNA+nfEdv4OYssuCSOEqbI92oqGHLKDfCYmF1fm9GTgehs8ETdz1BBVJFw4GjtbY9y5hb73UMIC/F3zuLCMmAKAqpqYVyCl13orM7JmjJzfz2G9nAZ4eSnFDlsvsV0RCZ2ICMD5esc5Ux5zNeGO3Ykf1RLgf8MuZyvNHQhAQBAQBQUAQEAQEAUFAEBAEzggCUpM7IzDLJi4QECJFHhFBQCMC8tLWCJQM6xcE+BH3/NeABh0trswbP3UBcM0I9SfWaG9437Wni2XSv5wBfG9CvxzjlBbhB+PLDgIbChVxQYXKoIAOLGwux7zKYsQfLeldnGYLpPZO/e7wANZnDcWNTUM05UzugaTVpPhOXJ13BKO32BTUbVcZEgFQwkSVybg4INmieJ9brVijcbFKAdDt32EvkVWzx+KHFYlo6rA2Zbcde11KK357dAdCjlU6Pw+L/GSGCm0K7gDWThiGmxv0+0BMj2jDq8058CaJwFZUbEPFPnfB3YVnqnSaO0wqifxhSXg4JBMra6ydyC+MbMGEzlr4d3Wi1cMDB7yC8WFloKk717QkYHKiaknHe1i8FChp7DnmhqxiJLy/S5Ok6d2JY/FAXZKmO7cd9LnPHgzLsfE3sUc+sC8cz26pUuFifCaIhUb/Eav9fzhJESJbi4B95UBVS49JPbHlL4yj4L5t7UBYgOrFZ9n2jHMIKkke3hnVKwyqWrT4v5j3nJUCrC5wjuuURGDx8FM3kurT7XVPotnV81v0rXD5UOAibe8JfQvLaEFAEBAEBAFBQBAQBAQBQUAQcISA1OTk2XAHBIRIcYdbkBzOCQTkpX1OXNN5kyQ/Fr/0P307DlsfsQUS47PDwPc+1bcOP1pfcTMQGaBv3hkZfbgS+IsLX4O+mM0bgD9On44Xy8N0HeOhlGrc+cV6bXMmJQI3jrJvnkMj8Q/3K38XB7FpwlDc3jwYzZ3OSRTz9DsSGvB/VQfgSS8IFtctI8pfqSZodu7AL6M1zB+3ZM7A5lrtX97PCG3B8y37EZpT7LgHGltaUaFAEgFAdUIYHkgebyJTvhNdi0saTmD0gfyedm0c5O2Bg0OTsTIsHlsCInGgUgkCogKUqMHSrz03Yjc8KFPREEWZ8bjAOwuNLogp26UuimvFP3athaGmxfpHjlQcVBrtt2m3Ni1ZvxqCu7Et3G9mASQNNx4H3tqjn4y5IB0obQT2lqm2YwYDwFZgbJFH0sTyOaSiimO479FqoK3TNbJalWHZCcBNowC/bp8cEm9sXcfnI9D79L+ESGJ9sB/42kHPQ9uT8tm9ezwQbk38uQZERggCgoAgIAgIAoKAICAICAKCwKkgIDW5U0FP5vYXAkKk9BeSss55j4C8tM/7K3arA+4sAa54p28p/XgycP8U9YH6vZ8BHx3Wv87TCwG2+XK74Bf0L24F9pQ7Tm12KrC2QNcX9IUZ8bjAJ8up0oN1ZG5v7lLEBB4PLsT1W3dph+m2McCUZOvxXV3A3zcDJDwcRJefF+7Jno0V5frcu98LOISJVWU95A0PQYUE24aRKaMawUksmzoW91VpU2xMC23BsyU7EVngQgXD/Vi0p19GN5mSPyIJO2Jicfm6HfBwZo5jAErmD8WttWmIDfPCmgJVb5+aBKzMBW4b2o6Ht66HwYHBfa+jmgi0GXixXF97r+dCCnBpU4nK39L43RGBYEuwkJy4eQywrkCRE3qCz/f13S3oXtsFbOz25NGzBnvU8Rmo624rNioGoDLKlYm9lnFsXUelU67G1nJ3jFXP4u5S1QLN3BqPGJF8ZBuwjMjT1wasuR346JBrMoV3e9No676JejCXsYKAICAICAKCgCAgCAgCgoAg0GcEpCbXZ+hkYj8iIERKP4IpS53fCMhL+/y+X3c7HT8Kn/ea44/6neX7+9nAHeOU5cWUJZo6HPVa7s5xwEOz3Q2V7nzY8+ulbcqLwjaoRjleq76gzynTdIDOAG/8OWsSXqzorUZh/Ts2UPlRs77rAcDHS3l303vmEc88XLJtr6Z9TIPoocG2TPSPMMeOE8DLzs1wdmRn4Mr6TO37dI/8bnQNfrVunfWDRCKFUg6SKi7MxDv9vPD81Ml4sti5Uod2MGx1NXiXTasrZxnT+LyyWfmEmMzQI4H9GkgYAJ0XpOPGzuEmz3WKCujDzlr7r9JqMOGtjT3FeA2IHRiejDu8R+JEqza/jgvCmvD0sa0IKa8HxsQqrxEzu+ZIDWVLpJDI+PYEpUihT4dtUDFEDxFiY279RekN/U8mJQAZUWrGM5t6K100nNlEZPE5INnBnEkIUY2iJUbHqHZijlp9cb2DFdpeXry4weHKS8VZsB3eDaNUzjqjrb4NXSUNMLZ0wCPYB75pdp5ltgMkqbijBKA6jL/w5uDvLAkdtuUTXxSd6MtwQUAQEAQEAUFAEBAEBAFBoH8QkJpc/+Aoq5waAkKknBp+MnsAISAv7QF02W5wVKpJ7lsBLD+kLxnWxj+5UdVGaXsx/d/65ptH3zgSeGxB3+aekVn0blh2QBU+zeHnpdpVsShMx3GSKfRAcBZBPti9cDS+lRtn5bVOlQM9OHaVqg5I9mJUtBE/9y3GrFU79R35x1NU1d8cGlQFzyyYgSeP61NNcPkgLyNWN29B5DEbBQ8L+2TrWNDfUuw0/w5/byydMxF/OxGKkmYLAshi1sOpVbh91UZdKiDTdEviwV77KweZGf29sG9xFm7bH3Py3mamAD9NqkGWTiKFW2wdn4EfGofgRJP985nTmBPajD+V5iAhvxtPMkgpoUpVQhNy+orYa5VmoVQxDgqDYU4KMDEZaO0A3tkDbCxSW3D7malAfg2QZ8fnhCoNYjY6Gpg1CHhinXblhyWWfMBJTpCJMv/OaH2Kza2+Dlf1nmEixOy0MbO3Nkkh/o6SkdQSI6KAu8YD/t1twFzMaT5UBa/txfA6Vg2D2QPIwwBjZgTa0iNgnJQEP/YxtA3eX00z0AX1HkkOsSY+teQqYwQBQUAQEAQEAUFAEBAEBAFBoF8RkJpcv8Ipi/URASFS+gicTBt4CMhLe+Dd+dk+8WdHgO99oi+L60YAT1yg5lCRMnmJfvsEzv3WWOB3c/TtfcZH86txkiZUBLBNUagfsP1Ez5fwLHLTWJtfzpM0sDT1ZtE7Nsj0Ff76iFi8kTAEn3S3QGN9d0YK8MUx1ycK8+nCy77HMGnrQdeDzSNs23u5UhUYgIfnzcGSwkDte1iM/NprNwbttfEMIePGflgs2NPvgYSTMzPxMTGoMnjhG58obPSLQAW84AcjUrqaMb+pHOPba+DhrN2ao8z5tT9bmlEAkBQCVDb19nNxMLdzRgqmNI0+6YceHQDcObwd93y5HgYHvi/OADx05TgsrwjA67VhqGmz9qEZEdyO67wqcUX+UUScsGlZZSaDaP5OpYa9IElEsoXPY3kjSAQZrh0BDI5EZ30bjB8fgte6fGBWGrAm3zUhRWXGwnTV4s5Feza7+UT4AxnhCvfNzok0u/MdKW+oVmE+ztqzmRfkWI2qsZM5LBoCXDbU5e9B28pceH9+GAYnrcqMicFoujADgdnxLteTAYKAICAICAKCgCAgCAgCgoAgcHYRkJrc2cVfdlcICJEiT4IgoBEBeWlrBEqG9RsCDa3Ajz5X3g9agh+Zv74YmNBdF6SqhUTMiqNaZluPeWIBcN1I/fPO6ozPDiuvA9vwMAA0iea/aarNoKF1d7G9NdQfTy+chXcOeaG6BZg3CPhSI+ZcKsGvE+827ETSURfticx53TwamJ7Sk+XTG1SLLUeRFoaHk0ZhiU4fD/Nyqz13IXVft4+GtweOZiah0svHpESIam9Fekm5IlPoFUHCqabb8J54se0SSRdixeI7TcjJ0FkaxhBSEgT2FAquHgi2mGIxv6oZIBNCsouXoCGMaWG4b9R0LLfwACI39FbDLnhs0u8bYhwTC8PuUpSmx2BzRAyqDd7wMhoR19WKycePI7DcTis55pkYrPxeiAv/sQ22gyJpQGkTfUi6u0aRCPpo/Gj89yCw+4QRWwYdhSfZPEvCzxkOxI4EzdpukozeJOa2VZZGPrxHk8rCAld6nZDwoMpjt7YWeFap8FmgMqW8+7zcg+2vdpVoI8L4/GRGAPuce/T0On58EPDzGU79Utq+OAafjw5qwtEY5Y+mq0cicGyshidOhpnXrbMAACAASURBVAgCgoAgIAgIAoKAICAICAKCwNlCQGpyZwt52dcSASFS5HkQBDQiIC9tjUDJsH5FoKgO+PlKYI2NoMBerfbZi4C5g6x/8vEh4Aef6Uspwg/4/GYgJkjfvLM++j85wOqCPqVx/6x5iIr3xadHDIgIMOj+UP7hiBLcvmGbpr2bb8+C/+SEnrHPb3HegiwzEi9FDMKj1fqLvTF+XVhVtRHe9S1YM2QQPvWNxbLKgJMWEKyFL45qxKKWMsw4mge/waGqnREJJxbjyxt7iA62U6M/B8kUemu0daozsIBPdU+BnVZUrhAhyRDso/xudCpS6Jex8ropuGtNz4NKIuXv0UWIeW+3pkK6OT0j/Vp8vWCgOkZv8AwkMBy1kRsZbd2+il4nnZ0wRgXiqexJeOZIALLjgPfKNsGwXyexQIXG50cVkUWfDyq0LEkU81nYvotEFdtoUck1LVn5s9h6t2g9u5k8IzlEY3mSOtXN2okRkihHqq29SLTufdMoYEaq3dHNeTXwe2ELDPVtWleDcVQMDN+fqHm8DBQEBAFBQBAQBAQBQUAQEAQEgTOPgNTkzjzmsmNvBIRIkadCENCIgLy0NQIlw/odAX7k/t5+4M3dQEGd9fKsybKd19XDgfF2OtTUtgDXvgcc1FEffnCq8kM/5+I/e4DVOszOLQ74f3Pn4IraIhwcnIBf7tbPII0Mbsd7eesRUOFAtdC9V6e/FzbeMRvTR/v17E6vFxbDHUVGBA76BuPizlGaxQrmpX4SVYmbcw/i0dQx+KDK+bmujW/Cr47sQkShHXUMFQiDw5Q/BQmViABVuKfsicRLVYtrPxp757NUpDhqF+Xjib3DUrA6MBqlHj4wwoAoYxtmdNagbkwcblvdc64picD+MmBXeA4MawqAAC8l0TIalCLpWBVQWG+dCdkkmsY3tgGHnCiDHN0PiSCSKSSDbIMES30rGjOjURkUCP/KBvg2t8FoMKA50BftSaF4F5H4kW85PJfu1U8sJAbDODQShk1FgJM2Vqa0eH6ek/4fbL1VVO+cSKFfy+QkNZZqJfMagT6KNIkOVAqm4u51qPKi54sWRREJub60FGMO7Lt302i7t9H27j74fJWr7oPkEc9Mwu94reN2aZ4GNN8xHv4T4s65V54kLAgIAoKAICAICAKCgCAgCAwUBKQmN1Bu2r3PKUSKe9+PZOdGCMhL240uY4CmQlJk3XFVt2RtM9QXmJwIDI5wDsjuUuCu5UCZna5DtjMvyQAemw9+7H/uxSeHcNLoREf2nUG+yJ2QhiHfHMSSydl4uEa/8oPbfey7D6N3O+8JtmPcYDwWMczUgo0kmClO1ANPrnfcEomtoxrb8eDIyVhaoZ3kYQ35/fCj+LcxFsurtc27KqIBjxzYisDqxh4EqT4YGaNaQ5lNuy3x5c8n9rEwbvZI4XpDo3r5fewek44lwalYbqGisdx6epIRXp4GfJOvhDHs0MT6/DvTqjCxoASezNfswcKJbA1F5QtjS7FqUcY2V/wlofk6PXb0BtUsUQHArtIeFQzJGao9mttRODwRUZvz4VdpganFHnUpEaifkITED3fr3RlIDYWxthUGy7ZdzlbhQ3HhYIAGTCbMI+2zrGNilCqJni/2/E5IrJmVNmzLZla2sNWYFlXNqRApbCF2x7hep+xq7YThjV3KF6WhTb0oqb6hVxIJLc/uFnV2sOqcnATP28fqx19mCAKCgCAgCAgCgoAgIAgIAoLAGUFAanJnBGbZxAUCQqTIIyIIaERAXtoagZJhboFAaQOwtgAoaVS1RNZP2XmJyhZ7FgysJ985DvjBRCDMQizhFofRmgS/jichoTO6RkTDo9sk/Jkpk/BkdbTOFdTwpX4HMXlXd4HazgrtAT74/djJeL0qBB/fAIy25Gve3Qt8led432FR2O8ZiG95DseJVjMD4zzNX8ZWIrq9BT+pStR1nr+GHsfizd1FfZIkY+OAnFLnBugZEUqd4Myw3l4W5sI7W1OR9GjpODlqU/ZQ3NOajso2SiPsx7DgDtzqU4G5HZXwbO1EbacBKVGe8GtohYGkCB9+exHgjc45afDMrwL2dZvdX5gOfH5MF1amwdkJwLZiYEICUNmk/Gb8vYC6FpSkRiPuSBnQ2dXjz0OShS24mnvO2uXriRMzM5C48oC+/bUSF5arUvlTUAM0dSiPFVviIytWvTjsKWxss6Pap6oJaGhXfinJIYrEcKVKYQ+2Dfp9bEzbT0sCbulNenSuzoPnx4fV/o6C+fFlmG/dhs44MhqGH5yLMjx9j4uMFgQEAUFAEBAEBAFBQBAQBM5VBKQmd67e3PmVtxAp59d9ymlOIwLy0j6N4MrS/YYAO9gs3Qe8ttvaW5ob8Iv9yzJVx5sv80wdh0wf6NNcfUE6wFr4OR0smv9jq74WUyQK+DV9d++zlyZn49E+KlKW++zH2Bz7hfgOf2/8K3s8Hi2LMkH89lXKpuJksCUYWS5Hxt/dyo3tY4fgfgxGfrOX06t6IKYKdx7eg7vTJmN9tT550ZyIFizZvQZebHXFQjtN5F0ZoJMcyIjspShxmiSVHJXNQKC38tiwMB4/mpmIm/xGo8QBaRTkZcSfQ4sx58hRBJXZtOripmQG08NVqymbovnJnLw80HpJJnzZWi01RLWDqmxRxuxag4RJVrzyG+GzxNZZVKYE+aApOwkBB8vsExI8Ow3qD1acVHy0+3ujanwyYtdpJHPoeUKeyJ7BvbP8SSSQyKC8jWcmc2pWGiUFK+zydPjdzEq1bqnH3ye2f3OmkiEBc7xOjdMTlHHNSwMuH2Y9a+VRYPkh188pZ8UEKjmYhbpKiBQ9lyBjBQFBQBAQBAQBQUAQEAQEgTOPgNTkzjzmsmNvBIRIkadCENCIgLy0NQIlw84aAocrgftWuPZ7Zs36uUXAlKSej+TPWtL9sTG/iKeJNgvKXh4wrjwGg712RN4eODA8BV+bvDZ8TXVvdiiaWV2KMXtzYWjpwDcThuG2hsG6s0oI6MKn1ZsRnmdjRuNhQN6wRPwnIgUvlIebugyxhpwdD+ytAKgcCvUDKAKY31qGrPIyeNK0nO2SLIMTh0ebWlAVDI7D/2KS8XZbBI409BAqJr+ciHosai7DtD2HsXV4Oq5tztR9Fk74IOk4JhQWqSI7lQa51fZNzC1XJyvHdlBsqeQq+BAG+8Lo6wlDUzswOBym/lzdApK/zpuOvxSF2V0l0MuIfwflYvKm/a52UQQNAaZaxk4Yg3xQvygDIfR6+WA/MCJakUGuiCPzWmxRRRUOz0wFBwmSlnYgzF+bMRGJF5IprZ2mFY9PSUfyRo1ESl+N4rkRDZXMbczYootEIs88PVkRLHqCv0QkdSyNmNhKiyRTbo2Vysi0LP+e7C1b2m0v0bMTMCxSvbgmJfXMO1oBvLQD0GEwD6py2PKtW7HUNSYWHt/L1peLjBYEBAFBQBAQBAQBQUAQEAQEgTOGgNTkzhjUspETBIRIkcdDENCIgLy0NQIlw84KAuWNwN0fATtLtW3PuufrV6ra/DkbbKP0TR5AU/HuQrTpLDTKYDHc4u/2jB6Ef4em4sOKwF7dp0ioXBTZjG+1FGJsXiGuHzYLOyu1tc8yYzcrBUhobsC85nJEtreaSJo6bx/kxkXhsdwQUyqsLaeEqI5G9ngerrUwsgU/9y3GkJZ61aKIxILBqEzeSVKwWNzdhqwhLgR7YmPQYPCCt78nkr3akb7+8Mn2WssmjMJ9Dal2r9fP7MFuVFuQR6CFBAUCFKA8F5iHS7fvVXMpZWLy3N+i+Gx3YZIpLKwzRwddtTAkXLWAoll5VizatpTAs6IJHiRVvsxFzuQM3NUyBKWNRLF3/DWyGIvX79D+2FKCxdZaJITshKnFV0IQ8NYepSphK7P95dbPlO08s3H73jJ1mbGBAEGlyuH/2fsO8LiKs+uz0qr33rtkW26yJbk3XMC0UE2HUEMIIflJIQlJgA9C4EtCvkBCIJQQSAihE6oBg23ci1xkuVu2itV779L+z9nZa+2utty7tmyVeZ+HB5Dmzp05M/dq9z3znsMKlbwK9eMjmUKPFgDdwT7oTQiCf4EKguF0iJSZ0cCeKkFq5MTC4KOHjlqANFwikac1SG5ssyHVxX3D/cO9Q7KMe4MvHRJ0Hx8WhjasSlITHCu9eK63Mpp3Jotnq29W3XBshQ3G3/asSIPnVVZVLmrGJNtIBCQCEgGJgERAIiARkAhIBCQCZwUBmZM7KzDLmzhBQBIpcotIBFQiIF/aKoGSzc4JAswBP/i1tlvfkwM8uFDbNSOmNUs5/rEHKG2xPSQmmZkUL27CzilpuLcvDTXd9r022ImvuwHPB5eiemIsfrbFQ/VUmT9nXtqW5cPl6f2IbW5BnHsfPPQ67O72xvv1/naJFN40xbcPL3YdwoRDpUPHwKQ0JatYBcEqC/PKieQgINJfJPMrWvF+zjT8qC3Rog9CQiUm+nHbshAhH0AVscv19Vi1epvl/RXygIl2RxUbrJ65YhJAaTAmqpu7MRDgibbEUNSkRqExMhgZYTpj0QZj60nglv8CwR7A+5Mr8fvmSHx8wjaRleTbj4+rtiGoskn1+hgbOvISSQxC/9JEuL91aLB6gjp3TNwfbxRgKaGQSsSCFRjmHiwkbOICLE3n1YwyyAvw9TglAXZyUToSNtr32jnV5ekQKSQkWMLEShpWjTAuTge+LnJMINmbz9RI+wQMN90dM4WHjHlQ9mxzmcDYmacKHzJWkZCEW5Y62As9dZ7ZZl++zRH+7O9wHQzB3uj8Xi58E4LUrJZsIxGQCEgEJAISAYmAREAiIBGQCJwDBGRO7hyALm85BAFJpMhNIRFQiYB8aasESjY76wgwl3jT+0BepbZb+3sAa24GYgO1XXfOW3f0AC/sEqUTjkIHFM1Lx02dGSjvcEyiKN0Eehrw+pU6o10JfWacBa1Bzk8FPj9u2XJOYDduQjWWVpcjsNRsnO46FE5KwNqgKDzXGo5GO0bqc4O78VrhVnjX2/GQcNOhZlkG9nkEYW5jNfwbTJ4ULCmZGmH0gVjrGY7biwYd7Zn7X5kmcuU9QknKbmRHGfBEx2Fk5lnJTJn7gDjqgEn+jh7su2YWNjX5GLE09y6P9TfgmkwDLpvohvQw4KF1Au9FiYKjsedD/suwGnx3y05nyzL09ySfyltskwQebhi4LANuBXWi4kYJJtpJBjGJrwQJLEcyZ9Rt26XxQWTfpqQ+/7NkQTqSNqsgUi5KB9YVD5XOUoMON+1XJyyrhqy9TtT0o7ShPBjl9ayDlR+3TAdmxdnubWspUFADdPYJQsd6Y3LTcu1IYLFa5sJ0y36KG4GntloSWmrHTbLsWAP6lybD/Zopaq+S7SQCEgGJgERAIiARkAhIBCQCEoFzgIDMyZ0D0OUthyAgiRS5KSQCKhGQL22VQMlmZx0BVhZc+bZrt336AuDKTNeuPWdX7aoA/q5O2ulv82fjyXqhXxbnN4AU734M6IDCdj1qOm1LR303G7h/juBq/ppnX4aL9htLkoSdSXnrIK9Dn5IHi/YhtMpx1UR+Vhp+oEu3axz/WsAJnJc31AekL9AL+TPS8eO2BCzzbcMjmzeJhHiwFzAlUlSBVLejOT4El4bPQWmnqO44LwnYUuacRFHWdXb0AF4s3o6QEivCytqg3NZGyAzHOxFJ+EVttMPilSBPAx5d2I9lGXr8ZQeMBBYrYraV295db3sfxZz8Y9q3Hpc6XSTOh34SIjjJwttkq+nG1L5jtYla2Sl2GugF+A1WlmgaJCdt8hgpvWAyEr88aP9ykgv0MjnZLKSytPqMxAYA5BXLrLxs2CcZLPMqG7WTIHm334xIMZoPJQLTogDez1HsrhBkSku3uDf/oRQY14z/eOkBkh7mlShKf0dqgWd2qB2lZbsJYRgI8kL/NVPgwT0tQyIgEZAISAQkAhIBiYBEQCIgERixCMic3IhdmnE1MEmkjKvllpM9HQTkS/t00JPXDicC64qA2z5y7Q6PngfcluXatefkKpp5vLQb2OvcQ6I5NhhXxMzFHJ9OXNhVjbll5fBuFD4ZreEB2BITh0+8IvFJva9F7pi58C9vBuIDAdpG/GufyL/TYoOqVfx5gBdAj/uDdQIF5nlZuBDX04E/FO1CYI0dyTEr0PbOTMO3+yaiuWcoqXPdxH783r0IqGo3Snk1G9zxpVso3tNFYGujSPw+EVCOm/L2AiFeQFrYEG+O5+bPxu/qIxDgKSwq6KGTFdiLHM8OeBv60alzxzed/jjRbltK67G0Jtz62eahS21WQTHkl57u+Gh5Ln54ItyuTYr5NT56A34zpxfuvp740RpgbpyorrKlHvap50FMLShybevZk8LignMBQ2hK3yRkosyIDdU3I2HQ3GUpBab2YlZdlDaj38MNLeelIqS4QRAK5lUaJMpYlUHJsR3lQHIIEO8PrCux70dj6/7zE4AtNgzlI/1E5cdJdXvXomv2uTxFVPzodUCor5Ar0xIkRfJrhDcQd46nHpgQamksb91fRYuoSGFZnsYwzIxG/43ToPeTJIpG6GRziYBEQCIgERjNCOypBOjx1tEnDizwAywrS7OtJDhH8xzl2CUCEoExiYDMyY3JZR11k5JEyqhbMjngc4WAfGmfK+TlfZ0hsKFEeEy4Eo8vFco7oyZq2oBHv1GVON4xeyIGoMPc3Ufte3p4ueOr3Mm4vzkBrb2DZMZfLgSo0vSdT4RiEb1DWIFCX/GqNuH5bh25YX14ue8QQnbY8DZxAPCf58/FH+vDhrSgdcbWOwAlz8v73v2xyDUr8Y+IUizbVAAsTBSsj1WUpEXj9sAsRIfpEd/Zhou7qzH3RCm8yQKZojUmCJviEvC+PhJfNpqMS0y/W57Yj1c2fjU0UZ0SLMpwbGiEVS9OwwWNE9FkgxyyB8PEMAO+ldiHp/Z4GHP5WVHCh9w6PvA8hOwCK7kxtZvXJOU0pPl0k78HF5x+KA1dorrEXOZLzT3okdLRKyortAarZY43oGJ2CmKbW4EjJoaOhugeJpKLm3Cj1RpPiwQi/IC1KsklesVwfFw7WzE7TpA0WoLs4renAzlxYv41rYJQ4caNPwu+I8/vFBUtWoPyZqOuHE/rJGV7iYBEQCIgEZAImBDYUipO1ByuG/q5mFKck8KA6VHAwiQJmURAIiARGJEIyJzciFyWcTcoSaSMuyWXE3YVAfnSdhU5ed1wI0AlpwteF/7jWuOVbwHLzbybtV5/1tuXNgP/u8n5bX30aJocg+BdNk7e27h649wpuKMl+RQv8OQyoLUbeMJGMYa9m68I68JLe76BG/0eNMSB6cm4tGfKEEUlfqfdcScQ5jvYGXP7938hyB0a3N/aV4Erm8uFzFOz7QT+vqxUNMeFYP7Xe+HOBLed6Ar0xstZM/GHmtBTLTiGj6KLMWXdAcurKN1E3sla+koHvLViLn5WOpQYcgbJ7dMG8I8C4WWzOBHYYIOPeibwJK7YqcK8xvpmjqS6FBKKJTskQ6rbRXXKThtMjqNJ8EQnry92LOlmswtWwBQ2oHJROmI2HQdo3p5fZUkYhps2Qt0gCWaU+MoIBsragG9K7OvQKd42NEaiwbu9yIlBW30XNofHYp9HIDrd3OE50I9J/e1YXFmG0JM2pNFmRAErUgFqDLKah88oGUfiQXP4xCBgThwQ4e9sC7j2+8+PAR8d1XZtsDfw/RwgLljbdbK1REAiIBGQCEgERiMCLF//vND2SSDz+bBKlx5stuQ0R+O85ZglAhKBMYWAzMmNqeUctZORRMqoXTo58LONgHxpn23E5f20IPDTL4F3htppOOyCB8/ev3aw4kHL/c5ZWxqG/3aj89tPjgAO2jC/tnelDnh2/lz8oU4QAM+sBP64FSjVoHL0f4FluHpnvvOxWbfwcMO9s8/Dp3WW1SAsithyu5ARMw8qL+093oPW482I7+/CYjSLCoMTjbb9LXi6kBIOKpi2Ph8P/ClnFp6tDTl1y38mVmDJGitPGhINZFmod2YeOTG4yXMqNjVol0u6IBX40lRsQssKFoiQGzCP5Sayyl0jWWVu5m7RIatUKMdV0yHkvCinlRICtHYN+qVoWVFHkmeO+pkUjvK4MMStOwIMAHDXAZn0HbGqtKA8Gc3uKfFFmTsSF5S1Iv80J16Mn0QO14W/5+YhQcTECImZmEC7lTY9/l54N2sqXumNwLHmoVJvsd79uC2gETccOYjAWlNFS5QvsDhZGNc3dtmfYWIgsDQZmJOgBU11bZs7gRd3Cxk0tUFPnGulwbxauGQ7iYBEQCIgERjFCOSVCxM6tRWz1IO9KlN8rpAhEZAISARGEAIyJzeCFmMcD0USKeN48eXUtSEgX9ra8JKtzy4CVPa5XaNPyiOLgTtmnt1xnvbd2nuA324AmhzIJ7lYGXBoWhIu6Z1q5BuIzaMbtI32de9jWJSv8WS86RZPLFiAF+osT8efn9CPb2W64fJMM/8U6nvlV2FgQyncGjsHB0hSg3Jb/DdLlFgRwIgxyU3ZqVaxNcP6xDBcFDIb1V2iOuSNxHIsWLPXsmlSkKjcULwpmPifEomOtl7MD5jnMKduD9WFCbS+MaDNJLHGAoxvJfQioaYB4b1d0BmAJr0H5hpaMWFnofrFoVYYjW2ON1pew5+REFJkoTgAzolm7qy4KWkCKtrU34ctKRNGnxWjz4e6MMQFoGp6AmLWHbWUULO1dtQwpxG7NcFifqukQCA3DqAMHskNcxN4Oz4xrEb64/RcvFjrXIrrstB2/ObEbgR76wTb9VmhOo+ScB/gWxOAWcOQmMmvFFUplSrWi2O+bjLg761ugWQriYBEQCIgEZAIjGYEXtsLbNco20mpz9tmjOZZy7FLBCQCYxABmZMbg4s6CqckiZRRuGhyyOcGAfnSPje4y7uqQ6C3H/jdFuHDriaWpQD/dz4QYlkEoebSc99m9THgYweEhStG4ZyVhxt+PGcxqrz9EOkLfHBE21Tf8D6GBS4SKb+bPw/P1Q9KavHOr/gXIae1DsELYgEmwAuqgY+OAG29jgdG3wySBvSrcLFCQvFtCfUx4CP9ASTkWZWGKP2ScKBJef+A8Z5tccGYFzJf9aFH84nMigUifA34rFCHeYFd+O5ABeYWn4RPvWVyvDc5BAaDAZ4kOpwFSRFW5OytGmxJs3ZWe3T2AodMXiRTTQTFsYZBUsAV7OhB4qUH9lXbrg6yGq/BW4+uhUnw+eq47ZmwP2WMbGHPKN76ajuEib398Mri2Xi0OsIZmqd+f1dKJx7qLBQac3VmhJ6zHihZdu8sZ61c+/2BamBLmSCZFCLRvCeSZlnRwMVpkkRxDWF5lURAIiARkAiMNgRKG4Hnd9mVf7U7HZYG35MDpFp+Nh1t05fjlQhIBMYWAjInN7bWc7TORhIpo3Xl5LjPOgLypX3WIZc31IgAizWe2Q684IRMuTAN+J8lQEyAxhuMlOaU93pyk/1EtT1TcRXj/9vsXDSlR2FPFbBN4+G95/yLcckuKy8RFfek18iDC5fgjZpBD4nswB68UbQVPnUmEoEJdHpQKBUgzvoleXCsXnh2aJE8MvVbkJWCS7sm47q0Xvz+0A6j78WJifHY4ReKVr0nPII8kdjbgbll5fA9UoOG7HhsCI9BqZsvVrf64WCdWRWNs7Gafk+7j1h/wLOxDT86XoCIMht+HEpfcQEY8NLDjXJm9oKVSYsShcxV34DwdOHP6CWUZ+Z/khoMdPQBrPYxDxJErLRRU+XA6+ICYDTZoW+MIqdmK6Gv3INJCprJO6ouMScFWW3E9qw4chZ8BtjO2jeJ/ZEsogSYKWpSI3CBXy4ae0QFkpogLJ9mViDzAyvJN2cXk9i6cSowP9FZS9d/TxKL/9DkiNPkYLmWc2KBWOcVN67fWF4pEZAISAQkAhKBEYbAJ0dE5agrsTIVuDzTlSvlNRIBiYBEYFgQkDm5YYFVdqoRAUmkaARMNh+/CMiX9vhd+9E0c+aLt5UJr4k39wOKtzjzl5dmAJdkAFQw8rfy3Tibc6R1w8E6oLZd2DiE+gJULGKeWHVsKQVeL7Dd3N5pfBWdb1k2Hb/pSkCIL7BZnU/9qV5vjGjDk1s3qPIiMR9K2cQYrNBnQ7H9iPfpx997D2HSAVMViCtSZUweZ0WJyhQNsl7KuOomRGOuew7+lliF0IFevN8ZjLcaAow8gXlMDurH/Jh+7KrXY0+tWEB6lK524Ts7Pd8X+bfhzt358FBTbRLgiYG0ELiRITlUKzY7yRKSR2G+Qp5rg1UljfUeiPED9O4AjWdsRUKgWM8KkyeIvT1EgmNmtBjH4XoxDla00KPkcC3QYib1FeYjDNh99cDRhqE+M+b3MN/LrOag748ZCWJ3S3u4iXtYy5nZ+Pnbc2bggaY4FU+HZZMHklpw35cq/Iqse54dC9w22jQFNcNzehf09or9LOXHTg9HebVEQCIgERhPCDRQ/rVGfOZQZEp5SOTrItdQWJwEXD/VtWvlVRIBiYBEYBgQkDm5YQBVdqkZAUmkaIZMXjBeEZAv7fG68mdo3tTeYiUFs+X8ckNNLZ6SHsYoawFqTGRFsLfwp9YSLH7YUS5y0XUmT/EIP2BJEkAZJioYaYmOHmBtMfDJMeDzQsvD8iwcuHISsDwF4FidBhmYrWXAfwqGEhenQaQ0XzwJ04+ngRYgzFfby6/bGh9z1N/o9yGuQBsD89rcbDzcGGPscnFIN37VcgyTDpoRAK5KlSlEiga/DmVeDWkReGlaFnIaavGDujh09DuuMJkVA8QHAV8cB6gsRiUthcRzupYA4gMAWpm8538UIV8fU3PJYJucaCDIWzxb3Bfc+GWtokNu+u4+gJUr5tUZZO1SQ4RHijPdcD6nJD+auoZWp9Bnhd40HMOECGAN5a7qAG938YDsrBCVKr4ewtuEQW8bVskw6IPi6S5M422FfMN4cQAAIABJREFUeXUV5cfM/U6coWRPmozm83ygTQTbT5Ytx7vlah46yxtOCu7HF4fXaSfqJkcA9812Nvrx9/uyJmBnpXjpkGXmC4hVS3GBwJRwIEc72TX+QJQzlghIBCQC4xCB/VXis0dxk+XnCX7fyI0VH+ZdCX7gv04SKa5AJ6+RCEgEhgcBmZMbHlxlr9oQkESKNrxk63GMgHxpj+PFP52pN3cJM+ttJ4UJtRJM5FKuaUYUMCFckCsjKL4pAZ7ZBuwys5YwHx6JlPvnAKwiUBN17cDjG537jvA72xPLhDe4quBJO3qHbCwdZHuYfKacFctzNITBzwP7rp2Ny7YI03eSO+xWS3ycchLT1x9ULcFVmRaFxxOmIrqvGys6apB7rAQelCQyD1eJFCb/SQKYe2yonEzdjHg8mTgNtZ1uxm1ri1CKMvELfQagqhVIDxV8A8k7chRqPWa481ekAn7ow9MFW6EjEaIm+MzwRiRMSE4oXh2sRCFBQlktEiiKJBZJFoXMYJKag2blij0Sw3oMQV6i2oWETLQfwIkXNQLXTgEmhovWLAPbelL8vyPJLvO+uUZk4cptVL0oa58dAxyo0cZOEYNAL9vzI9lIMsVHj1tT52F9jYcaxC3asPstdZvgW26HBLLXIwmeH87RfL8xfcGXxwVj3WDHb4Z7ODcGuCAViFb7chzTiMnJSQQkAhIBiQAR2FwKfFMsDpDYClc/Q7KvVZnAslSJs0RAIiARGDEIyJzciFmKcT0QSaSM6+WXk9eCgHxpa0FLtjUiwAqUf+UDpU4SwxenAxeki5PpIyBYLXLfatt+zebD43Cfuwg4P83xoOnd8su1wH9VmreTwHh6JRDuqwEMGoeTgKAMk48H8PkxYINGFmR6FN7LmY4fb/E03ph8DIOWEmpiZWQ3nirbg0B/d+FPoWh12bm4KikC6yalI6umGpP3nhjqZ6Fc52qFDRkKyjKQFdMY78+ZgR+Z5J5YnUOSZF2x4CRyYsS/K1uBmg7x3yS+yDOw+IIFHlmRgmdg9ZGjIBfC3PDuKuDDtHLEvrNX3Uj9PASJQpLIHmFGcoLVD1zAjt6h/bqKK3syv/a8JODaqUBXL/DOQVG5opW8sjaVV0bLn7u7CakwErJagxUvrIaxlvhiP1ys2ADc65OJT6u1V6SQU9pcuh56Vk9oieE0nNcyjpHS9otC4LNjzl+4HC/LvVZNAiJGq8HVSAFdjkMiIBGQCIwBBHZXAJ8ec+zl5qMHovxFtYqWSA4CfjhXeMvJkAhIBCQCIwQBmZMbIQsxzochiZRxvgHk9NUjIF/a6rGSLQHUtAEv7FJvVE0DkwszVFWmtPYAm0qALWVAUzeg14lE9rJkICtaVRd2lyi/GrjuXaccwKnrafPw9ipgWpT9Vf/oCPCDz7XtikeXALfN0HaNRWsarf9lh/qqFH5RTAhE4eRELD88KKHDvCUlzpyRKRdGduPR0nxEl9QClE6K9kd3ay+8DtUMSZB2hPljW3ICntXFY1erJyK9BvCs5wnMybPBNNHrhCf4D9S6BgZLhlghQYJJZfT4e+G2qYuwuXHQSIek2WUTxIF5VunY81CnLNvSJOG3vrcayI4WhSLWxRkkUFhkEewF+HsYcFN3BWYXlToHmnNgBQqZHbWYMHF/tF4YwZuHPfJCDU7mRAoJm4eWACebxURdIVJIDLGSxqz0x5AUBB0BoqFQSoiYgwthWJaMUi8/hO89Cb9KM1I3xBsGLz2eSp+OZ2tDNPd8eWw3/rxprToCwLz3xYnA9dM038/hBScagN2VYuNxr9Ouh9U40yOBqdFn9l5nsjcmwf5doP6Fy3sPB35nck6yL4mAREAiIBE4Owi8tte5PClH4srnnaXJwDVTzs485F0kAuMFAVbElzYBDV3AwADg6ykkgnkIUIYqBGROThVMstEwIyCJlGEGWHY/dhCQL+2xs5ZnZSYfHALWnNB2q5/OF6fs7QSViVjVQX7A1gFzXnZ+KvD/ZjsmNhwN6omNwAu7tQ373lzg5wtsX8PPi9/5GPhKo8/l5HDgvWvE50uXgmblNOzYV+3cnJuJ8MwIY9u+yRGY6zELtV2DUmupwUBsIFDdNjTPvzC0G1f6teCCg0cRWNEETIkwnvprCPTDvQm5iPbox6KeegT096IPOlR7+uDdvjDsb7X8wEwy5Z99B5B50KyKhiU5lH3qHwCOuJBEZyLZ30P48aglHQB8NW8a7myw1GyjZBf5nM0q7F9IkqxMG/TBIblCLoPTYBBZKmztqhQkVZTPAD5q2YWQIHd47al0vtysMqHpupawvoYEFZnHNRo3pnLPGdGCVSo1yVr9aC6wsUSUUa0vUS3tZjEFc/kNDze0LEzBO10h8Ovrg7unGy6qLIH/CY37wE2H2mumI3dvPNL8+3GdVz2iurvgbhgAD5tOW3cAu2em48qOiVrQNLZ9IbEaF67J03Ydq2PunAFkRmq7zl7r2lbg62KADLDJ88WiKQlSsqHz4oBJZ+ieZ2bkopfX9wFbVDxU5veM9AXuzhEvJRkSAYmAREAiMD4RKKwFXtknDm84C34e5OdJVkurCX7gu3EqED68Xo5qhiLbSATGBAI8zMXvpDvLh1aY83PdgkSA3y1oRirDIQIyJyc3yEhAQBIpI2EV5BhGBQLypT0qlmlkDLKhA3h8A9BldQLe2eiocXRFpt1W/9gD/M8GZ50AEb7Ai5eKE/9agtYUF7wOtNtQQXLUT6AnsOYWYR9hHfzM+K03tYxisO1rlwPnJbt2Lb4+AXxwWBAb1e3CuMNWUN6ImX4zouGDaxfj/vyh0jn0BGEhxBTvLsysrkZ0TyemHy+DPiFASDmxSoEgdvTi3dkz8JNmbebQ90Q04cHNm4XEF5mLAC8hxeDKSUIAx+ek4VWPOAR4GXBbXTEi850nbPNyJ+CO7nQ091h69lC9ivyA2mDRCP1N1RAv7PN/gyuQFdCDyV8dcHwLkl6JQfaZRHtXm/vmMKHA018BnsIMvlvjc8p7kPRg9UhysPAaoY74q/nAvHjgaxfJGaXKhcl//vfBWvxi7iL8p1Y8WH8MKseqHSqlz0w4GKZEYJ73bFS2DQXmzYgSzNu0HwM+etw9YwnWNKiX90r378N/G/IQoDP50KjdGAsSgJumq23tuF1NK/D+EfHF1FkkBgKXTgCmOiidc9bHmf59RQvw4i6hj6c1LkwDLpuk9SrZXiIgEZAISATGCgLvHRAHCdQGP1fSF85ZdStPvlByOFl7paraoch2EoFxhQA1rt8/BGwtczxtfpG+NQtIEl6dMmwjIHNycmeMBAQkkTISVkGOYVQgIF/ao2KZRsYgqbv1xn7tY6GO8cNLgKChCU3K6H/3U/s2GtY3SwoE3loFxGiQ0l9dCNzzqfZh84qXLgUusOGVsuY4cNcnrvX5+xXAdXZUBciN0KODVQ6B3kJNi5UQp+KTI8BnheJ/KZnEk3gs6WGJDMshlLKIilagxdLcvfy783HB5hCjxwcrJmzFA5ENuCt/D7zJIvE0ID1aWE10rAG9lMaatgibGgalsdQg4K834MuePYg7VikIIIXc8fcUZI9aE3beTAc8vmAhXqoNQqJvP/7btQdhbgNAbYdNUqkhMQzr4hPwSEssWnstSRRCx9s7++5tPUd63VAGTE3kBvVgcUgnrj1eiJjCKvuXkGCgbJt6pTLRFzfH7FihhUcvHXqmkLAgqaK12odmMKysUNgJknFXTBSlXLwHNfdciUlhYm9SN810anRdTiZuaxNGr9kBPXi5Ig9hFY3qevdwQ//FGfioOwQPlYeBkoCmrYHfRtXghpoiuB2uM/7s8JQk3K7PREWXc58mX3cDXvU7jjk7jwifFT5Ttpga61FyT1+dCUSbvZR6+gQpxi+ZHu4APV0ibTCytmb8nwL1G4zX8/63zxRrNxJicwnwbxf+TnDsNCq6M3skzEKOQSIgEZAISATOBQKv7gV2lGu7M2VEE4IA6vLSd03RaaXZHSt3U4KAuQk2v4dou5FsLRGQCBgR6O0X/ombVH4hYnXKPbNsn06UkIrvMfyuBH6t1/plUAIoEThzCEgi5cxhKXsa4wjIl/YYX+AzOT3zJL7Wfh9cKL7kmAXJgrs+BtZqOHjGy3+7FLhZw+Hv9w4BP/5S64BF+2dWAlfYOCBNAuhuF8mZ3y0Hrp86OB5+XqINAhXT/rUPaDOrnKGk2eUThLe6kYf6vBCgOYsLsemmhfhnQ5CRc/DSCzP17j4haZsWKgpcqtsMeDq2Gkv76uHOhWHFw4lGoz9DwfRUXNptv7LI0ZD+FHgSV1UWA42dlqVBPCHIpLc9Y3WrTvdmp+O67olGIuiXYTX47padogVPJEb6odLXDyV9Huhw0+OgbzD+1R6Cqk4aSwwN2qyo/fxvfjX5K+bF1aqK/SCzC3GVDbhh+x77EBFnZ4Y19q6eGQ3sqQI83YCbswCyfCSpTtcY3s8DHTlx8G1oh1Ev69NC7UQPx8xqDSY2zIi9pmmxmGeYaeR9GFeHtuHhE3sQXG3mdWJrvqzcYVKEklcJATBMDBfSV/QPcddBR9Mb/ve2QdKnYHoKfqrPwOF2+0RDlPcAnvYuxvzthwbvykUm00byx5Z5DjGeFQuQWVNIFOrksRroQDVQYjYXtp0eBWRFOdYnPFwDvLxXEGJa4ppMYKkgps55rDsBvGOGo5YBcS9/J0fdFayYIvnY1iOIOq4VK6pY8SZDIqAVAVbc0guqqEkcIOAfydgAod8YJ+XmtMIp20sEXEZArT+KrRtclAZkhAlfMQY/sFHiVoZEQCJwZhHg38vnTN/B1PbML7VXuvY9Uu0tRnM7mZMbzas3dsYuiZSxs5ZyJsOMgHxpDzPAY6n7j48ALO9wJX6xUEgXmQXlVFe9q70z5iJpBM+D92ri46PAfavVtBza5m+XABelD/05D8td48LY2RPlyei1waC07Ct7gCc3i/+fEtKHGyLa4dPfjxY3Dzx30g+1XW6YHw88uRxILqwQF2iMPj9P3DZ9MTaaqkmIHYsNOvtEBQxtMWiOnuPXhQsMDcipr4VHS5cgKFiyUd+JDTMm4pZOG2CoGMtDQVW4q6VEkCbmwcM3WdHAgaHm9dbdHpiWjPv0E3GiQw/m0z93L0D6fsuTUK/NmomHW2JVjEioVTmrRrfXkZZrfzipEx+XeuCV9v1IPWrnlKW5ybuq0Zs14uYgmUA5LnqZUNqL/hQ9AyIxqCaYMGQFRpVJK4uya0xQKybxUb6iREor2cP1ZUkXyQVuMiUyQlHm5oV1obEo0AegU+eOXJ9OXNRUgYj8MuisS6bYDyujSJSQ8aPOeXEjUGFD24sECOfDvWbS82uMC8GG2Hh85BGJr+oHK+NmBfVgVVArlh4/gagTNrAyvy/JPtNpMWMlULQfcK0ZI8o9zNN59uT2OHdeR/mqizMANxsE35sFwAaVp/vM13UkVXJsPSkYYVeCunl3zHR8JSvYtpeJqh2+QM0j2AtYlATMiRcJNBkSAWcIkDRZVwx8ddy2bCmfWb7wL0wX8kEyJAISgeFF4M39wAYNmqvmo1k1CVhmo4x8eEcse5cIjD8E/r1Pvc6xgo63O/DrJfLzmZ3dInNy4+8xGokzlkTKSFwVOaYRiYB8aY/IZRmZg1p7AnjXhZPGTET8z3kiyWsWL+8GfrPRtal+dqNQtFETPJh/8RvOvdmt+2LFxuobha2DdTDPe8N7wG4Hak22xsb87qfXA6G+QpHrhV2CRLkvoRXXd1UgrqQGbkryWgcMZIShMSEUL+hjkdflj5eW9SDsmU2WSWkVIOycmYFVHROMLXNjRJ6ZnvX2bDSWhHbjF62FmLy/WJjTRPtjs2cIbmxzjUh5NKgStzWV2NbRYrKaILOSuahxyOn/mpQIfBMVjz90RqO6SySfs0N68UHBuiHGN2/OysLPW+JVIHL2iJQnJjTjl0eDkBvQjT+0HLJNppwOkUJmkXtGISq4cRckYCAhEJ3Hm+G3rdRxJUlCoHg4ylsFbjQxJ3lmvjloYk9DGS265exL0aarbRfyY0rYmy9/TokxBkvW6MdkJDC4N5oAJsp5OpwVOM6C1QmU5jKrhOn30aMyJRqdbu7wHuhDZEUDvCg3wKoTYqAlKOe13FQFcrQOeC0faFRhjst7XJoBXCyeR4vg6T615Jf5hSQNfjEf8FfvB6Nlqpra1rYBz+8aJOW0XHxJOnDJRPtXsAKFRDKJQ0dBUpF63FEq5dS0jFG2HTsIdPUCTNruqHA+J/oR3ZUtTaqdIyVbSAROD4E9lYKMt6dBa693PqPfnQmEyPf+6S2AvFoi4AQBVgQ/ul5UgGsNSkrMT9B61bhoL3Ny42KZR/wkJZEy4pdIDnCkICBf2iNlJUbBOMpbgCc3aU848jTnLVlDJvjn7cAft7k273dXAbM0eJ7f/4XwaNcS9DGhn4m9+HcB8Mu1WnoEHpgH3DdbXMPvile8DXyYUoasLYehs/I0Me/ZkByE5hnxKPbxx4yeFnEa29HJd/OLdcATCxbihdogUDmHB4K2qpCfjvXux0uGI5i6T5iMF54/BSvLktWqcFkA84J/MS5srXJsSELCjWbp7qaT+gYDmsP8cb9bBtaaVRGw45WR3Xhx89dD9mJ+Vhou61JnVs1CDldtP9ReuyikG491F2Jl9xTj4fkU3z7c7VmDpfWVlp4pqSEwlLdAp9UgnqVFNHH0cheEAb1R+L2GLJ2HG45PS8SmBm+saimD774K6FiCxFAqLUhuUueYfh5MTrPqg1UptqSlVqQIuTCFcHG29Vk2lB4qrrEmTlhRwsoZvQ4w6IyyXEYJOcoyKaY1bGNdwaQWeGVsJIVITDj6rkfiiaSLWq029k0ptu/mDvqSvJAn5MbUBu/5w9lAuhVL+8w27d42vCf3wY/nAvGWVX9qh3PG27lyUpGVRPdkAxF2DLD49+evO4V3k5ogiXd3jpT6UoPVeG2z+hjAklW1MT1SSM8pf6PUXifbSQQkAtoQ4Ekrat5qiSVJwHVmVaJarpVtJQISAfUInGgAntqqvr15y8smigpPGUMQkDk5uSlGAgKSSBkJqyDHMCoQkC/tUbFMI2eQrmgX3ztL6IxbxfN5wP+aJK20TvCT6x1bDVj39/UJ4I6Ptd3ltcuB85LtX8ND9jSxz1P5XY+515e/JRSYGL/bDKyoL0f2ugL7CXTFp8FcZokXmzxBjKyGE7ml9fOm4q6mJKPNw1WTgPc1EEpTAnrxVvl2BFQ2G01VHli8FG+Xazv1nuQ/gB9FNmBFZRkC9qpgcKwgr0yKwIsZU/DvCr9TRRKzQnvx7t61QpvMLAzeetyTvRif1zuX9XHVI4UFHMyjFTc530//F1SGq/P24eEFi/BazWCCOMDDgOuDWhDW1w03GNCs98Tl7ZWYuFeQVqqDZAMNzVk1dKJpaJI5IRD9icFwP1QrfFNIuFCeikQLJ6B4fyQFiQqUEG/73iozooH6DnGNIgFmb6AkUaZEAntNlSOKBwwJBJrPe3sIgsP8xGl8oJD/o6QcKzvoIm9OLtKPhF4rWk6pUgqM/ZKksReU6CLhQ/wqTFU5jhaAWLOiZJap8onVKM/uHOrzQ6z5sCskDjEnWcg5sVKGL5drp1je6dkdwMFa1ct/qiHXlhUpoX7arx2OK/IrgTf2izVUG0uTgWus8DC/9r+HgS+Pq+1NtJMnH7XhNZ5as4LvtxuG/A1xCsH9c22XqTq9UDaQCEgEVCPwZSHwdZH6vyEss744DcjWcMJK9WBkQ4mARMACAUmkDMuGkDm5YYFVdqoRAUmkaARMNh+/CMiX9vhde5dmzoTks9tta4nb6jA7Bvh2lvA2sAp+R7rjI+2jiAsAPrsBCHaeKz/VOXOYz+UBv9+i7n4PLgC+mzNoiWDvquMNwE/XOJf4Sg8Bnl45SP7UtAHPrOnE47u3QqeYYlrfhMlnJnvs/Z7tlYT1vuqhlUJuOqybOwU/bElES68OVM1hBYZa9SFlOM8HluDinfvR6+eJ11fMxe8KA3BzSDNmdjbCr78PPXDDSR8/vNkbhqOtQ41rbpvYiyaDB5bVluPybXvVLYB5Kyaja9pRlBSFtcHROOruB4OHOx6sOYSQA0NZrC/mTMXdTUlO78OCCB5a36uhkICd0lucBUHOItW3D+/W5yGstB4nU6LwvbDpKGj1tHvZPRFN+Pn2rXCzZWxu6yo+U5Tb2lXpeI/wWhIlJCDoL2IvWA1EeauSZtstFDJEIffoVWGdKCdRwKoW7ktzs3tey/Y0gS2odlwhQqktEq9riy3HQSKFXitaY248wAe1tsPyykg/gQvJHUqj0aycLwoSGbYqWFjFQ3P7+XFArpl83Nv7gfVmeu5sR3Nb4k2pOuu+KF3GpA+ly+7MtqyYoGxVngtzJL4/mqcVmeFtT8+JzwrVEV/0eLlmEhBox4OC78HHv1H/d0eZGSuNvj9brLGM8Y1Aa7eQ8KMnCt+drGzScqpAQW9ZCrBq8vjGUs5eIjCcCPBZfWKj8Lqi55YzQp6fSVj1yorcizKGc2Syb4mARIAIUBHhsW+0K1Tw2pumAQsSJY42EJA5ObktRgICkkgZCasgxzAqEJAv7VGxTCNrkDRVZsLPqhpgyCDp3XD9VCDIdgVDR48wm9eiqMN7/Gw+8P1Z2iGhgtG/CoD/3WTfG4SHyH+9CLhxmvrcG83aPzwCUOqrtMVyXDy8fvM04IpJg5UobMFcstf645jwjZ3yECajefrfmRcAO2PyenrUqdP/hlAf7M5IxIeekfh3XeApKa4rJ2mXN2P3l4R34A+FeXh6QhYS3XtxYU0pIg5VDkkQt0UGYmtSAn7XF4djHR5GIHIi+jE70d1ombAgpBuv7t8IzzYn/gbWS0vjc/OkPBPVScEoz4hG3Jqh+A14ueO5ObPxh+pQp5tkWbLwGVar8stCIBZNOLPoiPAawEtuRzFz7+AJ+qKMWPw6JBObmu1X9Pw1phKXbto7tLrBeiZMDM+JEw+PWqkjElKNnY73lDXWvC/14FjxQAKAE1ekvVjpwZ8r3iJcFwbJVmsyiFUonnqAhJ+aINCU+VLKfjzdgOQQx9Jw9volQUTSIjYQ6OsXSRkfvRgjseMzxrFzPtRfo1QavRPqu4TEGdtG+AGpwUBCEODhLrBQ3msv7hqsvFGeRT7gzrSjyQizAsPchIkGu2/tV78hlTlTdu2qEZjcXVcEbC0TJJqtILbUaLwgVRhH2YsdZcCr+Wp2ztA2/IPBvTNGY2+leIdxW7NSjo/wVZljdLKuTKu4UZCTrICrMSNTSbIdqdfeI5O1v1kq3gMyJAISgTOPgPn7nsRlUydwsG4oKc/DD/z7yUeRerX0UPvVYsDP/oGVMz9Y2aNEYJwi8Po+YMtJbZPnIYaHFgNhDj7vaetxTLWWObkxtZyjdjKSSBm1SycHfrYRkC/ts434GLkfE5w7y4FNpUOTprH+4rTJ7DinX2heLwB+pcFnhETHxzcISwNXg0NfWwS8d1jkfJlDpbIPiYblyUCiSXpLa//NXSJnqFiX0P+Zh+FpQ2Ed+6qAyW9ug17xgzBvwNP8zNbTt0Jt+OrFyWs/D3T7eGHefzyGFLKQNLA+5K+m+0BP4ObodszoasTKzfucnkAqmhCL+wOmINBbh0c8TiK6uQWN4QF41SMWy2orsWDnITW3FW2YUGfCilJSTNpTV4sJ6pPN+PPCebi9IB8BVUOTtH2+nngjdwZ+Vx+Otj4lw29523BfA+5L7YCuoROPVIQ7HRNvvyRRkHDbyw1o7bHd76LQbtyb1I75b28bglVnmD+2JCfiC59I5PX6GRWuqNoW7dGLq9wasLSjBlHdXYJEo/yTreDpS34JoaybtYeIs1nY8h0xv4ZVGuy3u08QKO29grzgvxkEgYQDKzdsESa27s9qiYmhwOrj9skFQmnNZjFBopjAc878vTNJMVv35wOYFQlsrxAkCZ8vkicklShzRjkzJke5sJRJo98Iq3JYsrQ4Scx3R7kgS5QxkgBYlCQIzK9ODBIprKShjJozEkUZJz0X7si2rNj7y3b78mq25scXzd3Zrr+4nO2Z0/09cd52UlT9UNaMBBZJMj7bJNsnD5V9HHJLEjLvHHRtJDSlmhzh2rUj+Kr3DwEbS4BvSi0L0mg3tCAByI4GvjMT8NemxDiCZ+zC0PgZ5d2DQ0+0K3/0nchi2rwj3x9PLHf62caF0cpLJAISASLw6VHg02ODWJAoWZoiDm/xsAODf4P5WcXa6O5Xi4C4QImjREAiMNwI8MAQNbq1xPIU4OoReOhHyxyGsa3MyQ0juLJr1QhIIkU1VLLheEdAvrTH+w44zfnTKITJCMplMIPDBC8ToF5DJZ5s3YmX/c83wJsHnI+Dh73/ciFw6QTnbdW04Hcw5k2ZU+EBtrPpH1tV24PoP26w9IBQBk38jtVrP5VuKpdmjnvxa0CplULT0iRgnZkCkRqM2IZeIhd3VuGmLbudkihKn9XZifBu7UDQsbpTt2GlTPPMeLRXdiDuoAqvFCbteWqfp4aZAPf1OOV10ZAeibmes3BraDN+mp8Hr1YbBtQ6oCI9GmtDY/G5exgKuz3hrjMYuZh5AV24vLwIyXlF+OTSOfhCF4adFTq73MXkcKEy8fYBwSnMiAKyAnvQ2NyPyj49/N0HMAFdWN5ejZ5AH9xdl4CHw6pxza590HOTmaIn0Bs70pOwxi8SX3QEGvcf994Ffm1Y2VaFWYZWeO6pEBUPvGlT92BSnhuVDwF9PEJ8BKmgxS+EY6CWGRPaSjLC1iaYFwd0DwB7hlYdnWquyFex0sDcx8RWfyRvKK2VEiLeEUVNYtxcCK4xSQdWtbBPPoQKScO+FEIx1FsAxbFrDe6dUC9Arxckhz3pNLK0lOQiiUVShYwoSSCOly8Le0FZKsqrcX+StLF+8JyN975ZlmTC9pPAJ8ecy7UWtQSUAAAgAElEQVSxX46ZL8Tlqc7uMrp//00x8JaKPxK2ZvnD2cCksUWk0IeZtjzOZBqvmCisc2LGY16R7y+emLVXOatIFWp9MvjO+u0yWZGiFTfZXiKgFoGPjgCfF6ptbdnu5wuMFcsyJAISgWFGgN8j3iwAtqn4Pseh8HM8PVNZHS7DJgIyJyc3xkhAQBIpI2EV5BhGBQLypT0qlmlMD5JyyH/dCbzgIE/Pz19PLgcuTB8bUBiaO6F7zI7RrauSIyyr+X9zjMnoh9cDr1kp4bhakXJlej8eyd+BkLIGTeDXXJSJyNVDq0+6V6TCo7odbocdJLWZZGdlAEk66qORmDOTByqdHI9F/VnG8dwV0YwfFB9AcJmdCh4dUJyVhGdCM7Cz1QvnB7bjka/XG6/96oIc/LQ6Co1dOtDHJjoAGBgAegZEzp8KWixaYP6dVjUr00QBAnP/PBD5Zf8eJJbUiER77wBOTojFpV5ZaOoRngznhXbhiv5aLKmuQGOALx4LyMD6BvtHxM8L78bDvUVI23FcaPSYS5qZo+/qHmESkMfVjZJxBkHW8dS2whOE+4gKDLXGMSRJSprsJyvpQUKixTzjy0oX3pdkoVLpYj43EippoQJTEgUk0ggnSQ6tOoDsd0qEIGjUyoqxSoL35r2YbGVVjCPtt/kJQt7AWbWPvaeHTCW1BM1jaynwdbEgzewFybYVqWOfROH886uAF3Zpev8YG5N4/PViQcSOkfhnPvCHLUDLID/rcGbXTAaeOn+MTF7tNPj8Pr0VONFk/wpXn1dKKt46Q+1IZDuJgERAKwJrjrumQ8v7PLIEiBo773ut0Mn2EoGzigC/wLPq05l/ISuQb58pPBRl2EVA5uTk5hgJCEgiZSSsghzDqEBAvrRHxTKNi0HS45kG9O8dEqpGVNBgTvPyicJTO3K0fjei5hcnR7NrJniYgU8JgeG/h6CzNlXhSrt6UpZZ/yeWAf5eRsW1mz6w3DaueKRQuejygVrctWmH5j1YMysJkXklQ5PQnB9ly+hdQdkunmqiFwUXnBVN/H+e6qfmFYOJcKsEemVmLOYOzDw1piTfftzkU4/lzdVIqaqFe08/eny9sC822lj98a/GILSbJL7uiGjGLQ0l2BwajdVeEdhcNlSii1DSVsM6f868PjFRvjM8FlKFW7cNJnhfnZeDRxqih2C1KN6A4hYWVNiWAzO/ICOgHy/6FSH14MmhBulKQ1Yt2ZKFs7dKTCRTT5yYmvtVUK+Y/iWB3gDNFqZHa9c8pmwS97d1sJqEa2kux2VeZeRsR1Fyi2u/yaTBrBAWzq6z/v1SkxGO2uu4RJQl5J4jqeRMPo1Shm5uoiJFy5oo4yFj95tlYn3Mo6JZbDS+I9gv2TuOjbjS74aE1ATnknRqpz2i27F08febgep2bcOktuK3BeE6FqKvD7j5QyEhqTbIJf1+ubDjGTdBcvgfex1Pl3+HKE+oVoZP6e2eXPFHQIZEQCIwPAjwuXxqi/a+KZV5d64g0GVIBCQCZwcBegpS+nZ7+VDfMfoWUQY3JxagdLAMhwjInJzcICMBAUmkjIRVkGMYFQjIl/aoWKZxNUiawvOgOg+R+3uIioBTQQkgNmAC2OIXIxAiEig0j6YsTUffkAEakoOg8/cSiVpz6SCtSXKlZ+JE7fYgb6PFxW0fWspHX5IBbD6p3puc3c6LB35WdxjZ+YOm6WqRNvjooaPUkbUck/X8yFoo5t8c+MRwIe9EY3CafLMqw1hBMRhdob64Nm0h8luEqb0S7CrK14Ag/QDqe91t5l2vT+/F+0UemBUrOAO1RvPKPVhAQKKKcXNEG3676Rvjf3eG++Pq5Pk40Go5JhYOUFFrd5Vt5Dhma+Woi+N68deta+FmT5ZGyx7hCTASKIp5j70FnB8H1HSKCgwtYS0XRvKB/iJMejd0WvY0LRIoqFHfO6XdfDzEmEi8MaFepSGZzmomGsTvrlR/T7Y0GtiaXjz2qoLMe6SXCgkjV4gU9kPzzZgA+2M8Xg+0mYzvo32BwHFo1MlSMBqDaInv5QLTxk7S+z/7gQe/1v7OumoS8KeVWoAb5W1f2yuSOo6CzzerOLUYzicGAj+ap1q6dJSjKIcvETg3CPBz/gt52j4rcKR3zABy487NmOVdJQLjHQGePitqBBq6hFwvDxfx+wcPUMlQhYDMyamCSTYaZgQkkTLMAMvuxw4C8qU9dtZyzM6Ep9qZoOSJF2os8f/pl5AdA/AEGvWQRxqpQp8FarA4M7NlrjYrGthvkofiImpJkpsvOpPXjy09leT58DDw+CbL/DllXrR4Nl+R2o8fnDyI9P0m5kDrJrM1F6UihR+0bQVJFV7HBBdP3tupCPjX3Bz8unFo9YejIVItjH7geRXAypR+fFFEF1NtwSGR4ylrBVZFdeCPG9YZOzg2JREr+qwkmkweMwrxwnYBHgZ8O7gJS9tqkNDdAX1/P9o8PJHnF4YP3MKxqdHL2N8HPkeQvdeOTrhaaS9KpJGMqetwPkn2yedMK7PEPbwoUZSR8SRoeetgNZH5XVkVQ6LMmbGD9UjNK1FYmkZzWUceL8r1rHBiZQlJGK2VDGS3liSJZKxSGeUIQU83gCTRLjtsmTP0pRyJM4SERNw/9qhPfLMS6YpJY8rL4v7PgQ+OOIfKugX57LeuAtLDtF87Kq/46w51MoAkalmRYl41Z2/CZMS/N0tUhI3X4AEH/i3h3xQSUfTqYrJMhkTgTCNwoEYYWdv7nGh9PyZsSZzzu4EMiYBEQCIwChGQOblRuGhjcMiSSBmDiyqnNDwIyJf28OAqez1DCNB/gSbDxQ60zinfQv2vIPveE/ZGs7Zo0Bs6NgBYngy4a8+tW3bPZPHf9whyRE0wEc3svnJS31Xt9gvSROLQFD/5UsyttWfQauO6ySIPqcYCI9JrAH+LLENQVbPrRIotmTImuBUTcWt8WGnEhL6ChQOZs/KMGKz0monWXvUyDrQHYXHC70IqsNU9CP+p0l5qTq6A1SzMsd8a2YrHNm4wzmL/tBRc0jN5yIrznqwEYtwS3oLvVx9DTKHthHsvZdmmpuOBjkRcE9CMn2+2I29BNqe6zb43iTIKLXvJVUk53kvNtVrGYo4ipceor5xXKZ4TJvO4iW35qyjXkYzL4D6qFt4qtqTHnD2bJFK+KXHWavD3HOfhevXtlZaUMPvVYpmQVIMcCeo39ztPkpNEuXSCqGYaQ3HHR0L+0pX452XAkhRXrhyF1zy7Q/0zzwo6/t2hnJC9YDXc9VNFddt4jA7Th4hdleJAi/m7i7ItJJHjpIHweNwawzrnbWXA6/uckyl8hu+YOaa8sIYVV9m5REAiMCIRkDm5Ebks425QkkgZd0suJ+wqAvKl7Spy8rphR4AkynM7BRPgLJjEvG0mEChO8zuKunbgzQPCfoD2C4qsEtPxlLJikvzaTCA+2FlPdn5PAoXj1hI8Gct58tQ15Yh4Co/u5lrip/NPGfnx0Oicv4u5sRCAeW69ThgU83fMw1PWqlcxGbe6z9zgHjzUWYipBUU4MScNqdu0S3v1R/rBnaXetubBpPrxBiDAS1Qx8NR/Vx9g7bfhJEH/xcIsfK8uXpXMfWowcHloO67oqkRyeR3WJCXh6cZw7LeS4lID+dw4YFs58KegMly1I994yfEpiVhmVZHCQ8xc2oN1wF3hzXhgfx68KfnmJPbOTMefg1LwyvZ19skSR2b07J+LzJPWxFVNuFoJxb7VXKumja1xcn9Qm4jaaNzM3LicG8kSbmZ6DylBwoU6zN39g4lRtuPPSprVoDDYZlYMsFODJBglzshc2nuo7N39sonAhenaxjaeWzOpS2KMSd386kEkeEKepPqMaCEPyKqiMRZ3fgR85SKR8uplwNLxQqS8uMsy4e9sH7CqguQ+/0iyso6eXSRX+PdoZox4v/H/x2OQsP/3PqDQAdHEd/SN08QHqJFWHTwe12wszZmHIdYV265M5jPJatglyQDL7mRIBCQCEoFRjIDMyY3ixRtDQ5dEyhhaTDmV4UVAvrSHF1/Zu4sI0AvhT9ssjbGddXV+KnBlpsNWR+qAJzcB65wcNCeZ8uAC4Y+nOf6Vr80N2HQDw9RI6JQqFprZ7jNLEjoZRH12AsLumHbKZJP53EWvWl40Mwo40jCYI8qJEblGKi21dBsQ4G5ArncnVjZXYtbxEni2dBmJmZPTE5HwoYpTgdZjtGESb2xCZiHcF4aOXujooUHSiAQYJRkoT7ajfFBeylny3U2Hz+dPx48b406ZyVsPw1dvwKMxdZhbW43EA2bMGYCOcH9sTU7Eu/pIfNaorjqF39eZr29qH8Dqpp0IK6kz3rIn0Au3ZC7GtqZBaYkYf6G0FmXowctF2xBY26p6O32zeDqW7Dtq39QmKUgQb/akstTKfykjcoa1o5GruVZNG3v3YIUBzdc7+i09d7gYoT6DVzV2WhIrym9cqYbReo0icbZBgwweE5APLpSnuVU/FWYN+d6obBWVScSerGWkvys9jZprfrAa+Oio9uEGewPvXg1khGu/dlRe8dVx4P3D2oe+MAG4fpqQIGSSlkZt4zlYAfbSLqC0RR0Kt0wH5iWoaytbSQTUIsADOawYo/SoIisX5iuITkmgqEVRtpMISARGOAIyJzfCF2icDE8SKeNkoeU0Tx8B+dI+fQxlD8OAAOUjeKpUS1Ay6qEldr9Y8XD+A2sAtXnO7Gjg9yuEQpDqaOoCfr3WuRSBjQ7bFyYZ84E+DR3Q0aiCRvQkFZzEybRobFs0FdfMHqzG4VxZkWIec+IsOQrld+QuyGOQVPlBdCOuqiiGOytE+OX1ZAv6J4ahpd8NIfs1nM5nZ5RDMfeI4YlxGj/zCzEJAFtBExMSALyOp4JVJrNPTozF2pAYvNUXdsrsnbdbnjiAB7tOIHWDY2OBzmBf/HXqDPylNsQZ3FDM5h+KqsNdG7ZbtH9rzgz8rGnQ7JQei2nBwC095bhm+16nfZs36IgOhG+ol2OJGlbssOLH2tSdHamR2zK/oVq5MOtZ+HkIMuOkk2Sbq0QKH4pLMgAm9bY6fx5sgmyNBftMCRE6/8oJ6vKWQbkwV6pYsqKAKycBL+0WPjFq4oapAKVxbAU14ll5waQux0j2bk4sEKKO8FNze9lmdCHwr33Ar4Ulk6ag8uWfL9R0yehu3NwJPLVVW1UnSc17c4HJkaN77mdy9O8f1FYCxfcpZQpZOShDIiARkAhIBCQCEgHVCMicnGqoZMNhREASKcMIrux6bCEgX9pjaz2HezY1baKaY1cF0NQt1HXo8bg8BWABwhlTdXhlt/BE0Bp0U7ehX8Jc5B+2ihynlrh1uvBvVx1kMB77RnVz84ZFM5Jwq34KPAz9WOXZiKj+LuT4dCGyuAY+lDmziq5gH+SlJ+EJQwJun+cJTl2J3n7g5veBbRWDP+P6nGwW8l5KkO9YFdaGi7pqkFNbjYDWTsGo8HQ3/81yin3V6JoWDffiRniokKUy9s2TvTQFV4xCmbjOigbyq9SZmdML41i9qLDRIMvUFe6H2sgQ9MYEYHtAKFIq6zF3u7qTyV0B3nhyWi5erbevg89p0Ps8pb8Dv96zDT5NlvJrNdmJuBaTUdTujpnRosgmxHMADx/MQ2RRreZ90b8yFe7b+bA5kAOjoTwZG0qwNJi1c4W4UElcWUxkRhSwv3ZQI8/eLJ1Jkdm7jvrnnD9NjHgi1ZVQsCBRR4KPBtNFjZYyXMSRC0ZSKj5ASIlpCWq058YCFS3A6wWOfZ24ka6dIkgU7nHz2EgZk3oTidJv+TuWOJEUWpwExEpPAi3LMxbaUqXv5g+ELKXa4O56YplQXhpX8WUh8F/HBLoFHpSluiVrXEHkcLIkrn+zAeixegc5Q4hk8vlpzlqdnd+zQpGSqfwcQsI/QpLQZwd4eReJgERAIiAR0IqAzMlpRUy2Hw4EJJEyHKjKPsckAvKlPSaX9YxPigmcfxcA9HA1z9UqN2KyhlL//282kBZ6mrenrNev1qr3djC/HZ29b5puMQAWVvxjD/D5CW0JKHaSHgq8eZWG79+17cAj610CYO+0VGxMTcJThy21nqN9BnCLbyOmdzTCb6AP3To3FHv74z1DBPKaPYycx5c3C+6D0HnohULW2weAB74aHAoLdijnRW8PRoZvL55yK8KM/OP2k+BmEmO906OgK2+FngkWe8GkMI1nWU3CCgXFn4NVJscbnSfbzfslmUKpM/6bp/MNKmEN90VPuC/+HjcR31u7Wf11AIoy47FSl2W02LAVixMNOG+gATcM1MB33QnRhHNmct7DHahpx56kODwflYHd1W5G+45fTurAdz904Rg5gPbsOOyPiUZOyUnoWZ2gEFPmg6NZuUI2UOufONGQnRUMymKrhM6YpC9rcW5ir/TH+y2MB6o7LP0qbN1Pq2eL0odC7nBshQ2a1vPUMEikkOQkTs6M53mamrrrHx4GeuyYCFnPj/v7O9mAr0nWjRVdvA8ryszv56sXeu58rpKsTJhIUm4qBdYWOcefWHxrApCupVxO7SaQ7UYyAq/sAX6/xfkWUeZw2QTgT+cDev1IntUwjG1gQOigrTnu/J3BajKayQd5D8NARmmXG0uA/+zXPnh6vFGu0NtD+7Vn4gr+jaT/Gg9tbCwdJMv5d3p2HIwnHOihNF49b84ExrIPiYBEQCIgETjjCMic3BmHVHboAgKSSHEBNHnJ+ERAvrTH57prmTVz4Uzc/H2P86tYnfK3i8X3VJeDsk8PfuU8+WHrBvyifNsMi998eVz4zv41z7UR/WohcHeOymu7etH7xGZ40NFeY3yaOxUD4b64ryhC9ZWUh75pKtDaDXx4VChmsUqIeWDmWR9ab2kZochSJfn04e/dB5Fx6KTje1lLIsUHwhDshf6GLugrBuWLDD566JTEMCtJSCowoaLIPblS6aAk3lleQ0kwNdUsJBUmhqPByxPH2vSYs0ujoYCbDg8vWIjXaoae9l+WNICfdx7HpPwSdC9PhVe4j6iQoIwTK4ZMJuOHMxPxba8pqO4U+vp3RbXgoQ0bVa+pecOOrBhkdmUjN6QXz3kVIaqqwazKRydIHJ66rbax37jYm0u1P0dLkoBtZcKw3VGwuoN6cd+UiAokVpA5M7anprkzIsP8ntSc4z8kd5j4IhFCaTitwZI5mkirvTfJlBXJwNsHnZMpNJn/dpZttpUsLiuFqOvOCi+aVdhK1pJE+aYYWF/iHENl7nymWDIXZOYRoxUX2X5UIvC3POAvOwHydY5iZSrwy4VAsnPFwlGJg6pBry8G9lTaJmFZ5TY9EliROkiCqup0HDT64BCwxnRYQOt0Hz1Pw+kTrZ07aM+/P58fA750Mm5WDl6dKYmzMwi97EoiIBGQCEgETg8BmZM7Pfzk1WcGAUmknBkcZS/jAAH50ra/yMzXMUfJagsmrBOtDhCPg+1hnCK903+tociC3iL/ulKoDbkUXaaKFCYftQaTx2YaJjyYT4Ne5i6ptuNKfHs68BsN8l7F751A8teHNN1qwMsdP8hdDJrcn+z3RBv0RoWhQ3W2rScSAmCU8ipsFFUoLEKgckViIPDOYXH4nrEqE/j46GBOPMpP7OUHeoqxdMcB52O0Jw9FwkKRySDIlP8oaR7sj1rpJEJYhUJT9Jp29UeolV744JGRO1wnktCUhqrrEAlx6+D9mFim8XRFC5ovmgiftSfgSYZJY6zPnoRb2welSXKCenBRdA9W7d2HkNLGQd8WaqWRMCJLZzbmxxYsxN9rB+XBrotow+83uSb31jojDlM7BTGYGdiHFxr2Iem4Ssk7Vj8kBAFHNMphkXQgG0d5KZ7sta4E4rqwVCvKX1RQKEFD+K1ljokAbkAvd3XmxSROWOlRUDN4D1cIOfq3zIoBvtCYFGSybTHJqJP2zYUoscUquODTJDPoRVDWKva6lvjWBHQszzC+J6hgw6ozLnmifXU6Lb3LtiMYgTcKxNYk92ZNqOTGwPi35M4ZQIS0qwBYnZJfLcgU/q3i35O4QCAnGvBx9YPKCN4cZ2Jo7x4U1XGuxMNLzr5PCknrD48AX6l8z1OS8ubpkkBzZX3lNRIBiYBEQCJwxhGQObkzDqns0AUEJJHiAmjykvGJgHxpW647k9LMDX5aKL6TKUo6TFAxcX1hGjAvYfyoAvCg9KX/UZf3NEfyxUuBlacjk80skXmSVu3jefM0YH7iqdZUhuL4ya1QmsyVuG4K8PhS9Wu+f38bpr64UZOMVUFWKu7xyDQeuj9hskOhohWtGvTuwJG6Qd/27+cCuyqB7eVDc9wsUKDUOw/ZPr9LkIAXpQO7K4EqU9HCqpRe/HbnJng7kuhSgHLFZ4PXUluMTBpJD1f7YD/W11K/LCZg8MEkicOfsRqEVSEkd441oC83BnpXPHYANGTF4V2vGHgaBpDW347c8nL4kJQoahKAckwKOUEZM2awi8WilU6Mxfn6mRaFGcl+/fikcisCKs2IJpUb8cTCCVham3Gq9b2Rzfj5pk3qqkxIdmXHCHkTtTr3JL9YaUPs4vyBGTGiokKpTmEVSogPsLUUaO0dOguSCo1dYsPSh8Q8uB8mhQHBrDBpc0wacOxMdPIBNg9WObm7DTKFanDkGnH+WgklMpM3TgF07kBnj+ijw0TukpxhdU2Al5oROG5D46ItJ8U62ZJuc3C1YWoEboyabbQjUoI81Y1Txft3bvwZ9K06/ZnKHoYBAVrqbDgJdPSIR4McJ+13+KjKkAi4jMCnR4FPj2m/nB9CHl8mqu/OZvBvxXM7td2RH+4otShDIiARkAhIBCQC5xgBmZM7xwsgb29EQBIpciNIBFQiIF/ag0DR3oLempRIchRUU/npfKE4M9bjk6PA91drnyV12f9ykfbrTl1xsAZ4VuOXYia7H1piIdfw0RHgB58Dd80AXt7r2nhumgZcnA6w2EVN8HTw7o/KsHhtvprmaIgOxk+TstEd6GOTO6KdAvPKzE+fl0SJNQPae60Mqq3uRG6BlTSUf2GsSBE59c8KgZv7q3DDll2qxmasAuFxd61BFijECxgA+nw8oFd7StT6PiQtKBVGzThWf/DUqfgrL2St2rrFiVJWpHCcoT4YiPaHW9/A6RuTK2NhVQQlvMgLkAggoaIQCzT/phcJ5b0au/DG7Jl4sDl2CFp/CyjGRXkqKoDMrjQEeuHxufPR4udrJNiYYz9ca8BzdXsRc9CJ2zRfTpSn4rhZKcKj687IlIRAdGXHoPloCzx6+xFU2Qh3VviYB4kSEnCsVrEXnm5AbhzQ3TdIJjK7T7KL/XFMJFOmRALtPaKSiZ46PCVOkoyYHmuwT5ZwL9B8niVbzoL7lwt3vMn5/G31xWP9irM399tcauzHAJkRQ03inY3F3u8poUNMtZrbsz+9Gw5ek4OLdkfa7P3BBcCdM8WjI0MiIBGQCKhGgO/pp7epbn6q4fwEUelxtuP1fYKQ1hIJgcBP5qs/JaOlb9lWIiARkAhIBCQCGhCQOTkNYMmmw4aAJFKGDVrZ8VhDQL60xYrSW+JnXwGrC9WtMAsfHlo8+k99kjyixQFzmcw984D17Fjhx8nTrb/dCLy4Wx0m5q2Y1952JxDpp/1a4xVM+v5tp+OErXXXl08EVqZb/JTqFD9ZA1yUJvLsxRqLAkhgXDER6DOIqhTzaOsC3NxsK0O8vteAsIMVuGjbPoeVKTUJYfhN3FSsafU3erTvsJMfJ5myMqUfL+x2Q0uPYxJFGSMPzV89CXjJ5G3zt0uEUtPS/UcwJU/lRldMzJ2J8VutRePCFOxs90a3zh1T/XuQskGjV4nSH02AuRcoEWaLCGBCPjUU6OsH9pmqF2L80TwnCYGrD0PnzOfD1vYkccLqBZ6oDfUWElbby8RRbz8TaeOlB3aWC/8Myk1xbN19+EtCJp5qHOpxc0lYB/68ZxP0LHlTEV0hvvh68XS83RlmVMviNLjq5AVmR/Xjxr5KTPxk39AKBpIRJBr4MCteIpQgI9lT12mzUsQQ4o3eSRH4IioBvzwegpYekVeaG9iNKwZqcV51OcJKTGQaiS0SNBtKVMzCRhNb1UkTQkVVUSfl4ZpgmBQOnUJe2LsLK2dYJsh9YauKg0RSeoiQlOM67q91bbzcf5QEsg7Kn1028cwwFDxFTTsdZf9qHGnVFdMw55B9lvehRcBd2Ro7lc0lAhKB8Y0ADy38dYe2z2BE7N5ZAA9SnM2glunjGzRX9BmHeN8sYPJZHu/ZxEbeSyIgEZAISARGBQIyJzcqlmnMD1ISKWN+ieUEzxQC8qUtkKSS1INrtaH6/MXAxYOqO9ouPsetmV/knP+5D6i3cbB7WTJwy3RgXbFo40psvO00tfopKfTSLqDChieG9YBoek2ZBm8Pi998dgz43mfiR6smAe8e1jYTVtZ8dFQkltffClS1ioqlfdUAvdZZGBEXADDfSsIlK1r0T5mVh9cDHnVtuLCjGnOKSuHd2CF+qQPKJsRiXWgM3ugJw9EODzAv+8Vxx2O7NAP4xI7SBg/8s+KEh+aVvDL/mzLgbx4A3AwDeCyxERd4taDvRBO8dzupaFCGogMql03E121+OOQRgE43d/gM9GNqbwuW1lcgunBokrlhUhQu8clGRYcwW18c0o1XCjbAg9UHWoLMASdFHTMbYfByR8GkJOzyCkZ7kC8823uQ6t+PKU312IwgZPe1IHW3CxrvF6SKh6KuHWjvA1hhQckwGu0crRMaaSQsmCwiMULAWUER4o1nZ+biD+W2DSoei6rFrVvynEq+laZF46HoaVhfZ1+7P8jLgJ9P7cZNe/YC9ISnxBkXnAQKK2Y4JuLHqo+iRlEJQq2fnBj09RmMxSG9Oh1a/XxxNDocaW5dGOjsR5PBHW+2BeM/pYOyLNE+A3jKuwSLth8EMsLE5iax1tQtyAw+HPQzUiFLNXB+KnQbSmwTXPRPifaHwVsPHemI7G8AACAASURBVHXrnAXvnRIi5q1UKpHgoiQXq4cot0Y8KCnm6yHGR3KJP1Mb9ogUXj87DpgTC2SeZhLumW0CQ3MvGGV8RuOjoEGZNK4zGW4y4KYXd8WV0zDvoH0ihfB8doMoopExChAgKdvcKdacRLH3OPLw4L6mTxBPtjBIiJKoVvy4RsHyjakh7qsCXtilTkqSE+f78vaZZ7/C42At8OwO16C/YSqwKMm1a+VVEgGJgERAIiAROEMIyJzcGQJSdnNaCEgi5bTgkxePJwTkS1t4I9/4HrDLzDNazR64JB3468WjT4O+vAX48ZfANie5SlaV0Kz2lXxtuUdixxzu9jvFYf7TCjI+q4/ZNntmx97uwIo0gMyPFYnCX3Ou578u8sjXTwa2VZyys3A6rEhf4JIM4B/5QGqQuM1/9gtLDFvBQ/WUfbt/DuDuLnJBf95BKS5gWkAvpnh1G3032tz0+LTB15h7Nvpgxwp/VGtLCd6Da3B5eAeuD23Fd4oi0WyjGoVqQ8wRUxnIOkfMfP/FSX24tbscuev2i2Gr9CxpjA7GqxMm4+X6YLT1Da2CCfIw4K6QRtx2eD8Ca1uNXdfGh+GB2Cysa7Y0337H9yhm79Got85KBZYQWVeiuOmwPjcTb3tE4bM6X2POPDZAeNpH+zFXbkB+jQ73hzfgR5u3Ol1niwasYiBDpnhhWF/Nm5A5U0wpUoKFkc1GISny1uws/Kw53uY9ieDDUbW4cV8BvJtsy1JVJkXgnuhs7G1ybnBAHuHRaR24KX+fIE8UnEgcULKEm4IVG6ZN0Rruj1cnT8cLDcFo7dXhiYwmXNFSAd+SBuhYkmYKQ5QfutPCsD0iGt8+LLLvJOpeDizG4qZqQTCxRIpyZnx5kpWhOT31o3r7BVlhbVBPrmdCGLo7euHNgZPwIPlBJpLBbD+JU+rXLUwANmmUaGEfrLphCZwtKTrehmtLfxeuLbEyv6cyeXqwhPkOji3QE/DUA8WNQwldxS+HpvQLVOr+2doZPPVNksucMCRGE8MBmlSdbBl6FccZ6QdDTRt2LM/CtXvCHO7zB+aLg9cyRjACTFqzcorEJ0kyPr+spkoLEc+bwtKP4Cm4PDT+od5cKiQI+T4xDz4LlBTkM0bfJBlnFwHKZfHUjTOinJWct2SJDzVnO/ZXA8/luXZX6ZPiGm7yKomAREAiIBE4owjInNwZhVN25iICkkhxETh52fhDQL60haf5TR9oX3vm0T654eyrGGgf6eAVPEB/32rgK5UH9ZnIpxfnWpXtlTvRT+S1y8XB/TMSNGQuqBbm5ZyEv5dIMFG2KNTX4S2e2Ai8YJIn+85M4PNC4KTI+9sN5imvyQSe2wVE+ADnpwFvmHgIZ/O5Oxv41aLBVgdqBX7vHwKqTcUMPGTOAofGToC/txW5gd14tO8Epu4vxmfTJuF77SlDmi1JEspDtIxwFOGeA3jO8wTm7Doi9KGc+J40xATjF0kz8UWjY2x5z0tD2vFEWT5Kw0PxhGcytjQPNZm9LbwFj+RtgZtaqS0+XDTztgZH74a358/EL2qijcRTbozgzypaRF6cUmuUdmcEexrwpuEAMverlKFiwo4VFzzd6ih4SnpqxCCZkhMD7Kk0+sFUZkRjhWe2TeJJ6TI3qBerdLVY2lCB6KpGY+KwP8AL7Smh+G3kZLx5zDmJovTFypR3Ao5hYnmtOAXME+z0DilstJgBSZRHJuTgvXrBbK6dcBKpm45CR+LCThh89GhcloHcwlRj0Uuk9wA2TCiFz66KQdkw62uJIYk6PqdWHiaGufHQbTNzRbd3Y5rd8/lmRYmW4LvAbL80zk5Es94DQd46+DW0wfNAzdAkLWXKqN/Hainek2SOrRI9StxRTiy/Emg1k2fjs8QT9Hdmi+opV+KNfYJFzasQ4yNrxVP4tiTFrPo3TI7Ab6In4+/ljhlrEoxf3SKkG2WMMAQom5dXIz6I2Hs/8g8xqy6/NQEIOgeJ6uGEjMTR33cDDU7+iFFm8Y5sIV0o4+wiQCN3yjny39YR4AmclyyIrnNlHEjN0j9qPDShzOO2GaK6UIZEQCIgEZAISATOIQIyJ3cOwZe3PoWAJFLkZpAIqERAvrSBdw4AP/1KJWBWzV6+VCTZR0t8XQTc8ZG20TJnbPLSVn3h/50PXD1ZdfNhbUj+5dp3B4sMbp0GNHSLvECzSUFEGQCVdBYnARNDgadNShH3ZAsixsYhe5vjZs7rf5YA386y/DULA5ivXV8M/HodjF4U9mJ2YDf+XJuPmGKR1H8rJws/a7OsdMiOFgUbajy32Ue0Vz/+3b0f6Q0NYjJ1Jqkx60Ho3fDovAV4pUb96d/L0/qxutjdpo0JDxPTP/zq3irM/2KPuvKmefHC5NuqxOaLedNwT2MiOHfmtVk8wqmQd6H6y4dHLCczxb8Hf247hPQjjhP4Bk936JgUp2abmoWmDBWz0oUNQt6KVQk0M9EB/7tgAZ6vDXa6p7nXkvz6EeA+gIxod/Qa3IyycSzy0BLfn9CJn31s0iW0VW2kA/6yaD6eqhYJyNUZ5chcfxA6Nb43ejfUXzgR2cdS8XxSNS7aVgCdIrvjaJBMdpIlNBE1hiVJ0PFks/Vpc3t9LEoENpaqh4HSXSRFTjSiLjsePe56RO0vgzvxINHhjMDLCBUvA1bAOQom3CjvRlkzBheRVS6Mn8wTlTZa41CNeMFMChM+Kaw+4D5UGf05MZjTn41a20VOp3rZcCuQ5HxbqryrbHZGEDhWJ0oJaVSmJkja3jgV8Bkjcl8kLinJZIu8tIUHq87u+//sXQd4XMW5Pau+6l1Wly3Jli1bstx7o9j0EnoLoSRAIIEQkkAIPFIggZcQSOCFTkJJ6OCAAQM2uBe5F1m2bKv3avW67zs7e63d1e7ee1cukjzzfXwJaO7cmTN3r7T/mXPOjBMgddUCtuxjgwAVKSS9qHLkYRaekon0FwceTjdDS4Xh0xtF2J+eRkXzwwtPj4pGzzxlX4mAREAiIBEY8QjImtyI3+JhsUBJpAyLbZKTHAoIyJc28J+9wC+/cW83GOB9nm2+uXsDnaKrHvgKeHe//ptRYcIDs1oanY4+uUZ8xz6djQVp1iNJNNAdh8QJD3kr5Alty9q6RdwDm78PEOEnagWfHxH/jWoUZgus0bh2Zb3LUoEXLnS8etqD/crF88YD6Z967cXY3f3FtQ+nTsJ9Lbb2QXprzZzN/VF1+Mm6TUJG5eh0KYADk5JxfvdEh1ZjzvaTYoicUYB1tEVSMEA+hPXzyABx0P6CnhpcfuAAAqsd2BXR/inEFwaexs+3KlZbbsoA9p9Nm4dj8MbOSluLNTpusc7jyAUpxb8H93tXYH55CcJKbZUaLAbVZ8cjrKMDBmfSIGeL5uJInrDRjorB874eOOIdiBuPjUZp80A7NEdDzYgTApJFySZ8eEDbNdbjTIgw4f3WHQigWsIBkVKePgrnWFQyE8J6saJ6MwxKEL2GD6gp1A/fnDMFZ63ZDQMLn1pbZhRMLGzNTkBFXQ/itjv4ENEPTyEiaGOlKGQCvUW+i5asFD58tJXZU42qWSnwP1qPoKpjQnnFop+9NZyz+VPhRsmYGsFk/zIkCcOMnDumCRLEnfaPXIAn7vkA84XlQik0YHgPA/IuzMayfNenqr+9SUTKyDZEEOAvKMoj6euoZptkPWX+crk4Y4gsYpDT4PqX27HfakNeMg5YOoz+6FJbj/z5iUFgTaEIhNPTzhkDXDZezxWyr0RAIiARkAhIBE4KArImd1JglYPqREASKToBk93PXATkSxuwDiTX+yT8+3JgTqLeq05cf9b8NpeKg9Q8SE+XmpkJjg/YVTQDc19znMWhNiPmwXxWoNZLHNB+7WIxh9PVmFfL4Pb384Addrk3LPYH+AhnIqoZrBuVNyR/vrU6HPyTGcBzW/VjRtLgpQuFLZp9Y+3oR585R+fmqGN4bMM6m+La9slpuKx93PGLJkSKzHOtahTlQtozfdGwBRENzSJYJN/ig2U1nefnzsSfaiN1b591fZkkCrmaFQXCfqu8pR/vsUE9uNa7DgtbqhHZ3AqPvj40BQZgfVAkEBOA7x05BC/aMNkpQ744ewqebIk118btG1UvtNd31RKMvbjWvwHxnW3wNfWixcMbm33D8L3IFsz5xA1/dRbvOUcPA0xtXTBwkb19MAX4YNOCifh1bQwON9l625Em4TNotGSfB3qb0GMymONCYj278M5R/SfNOebKSRUY+/52h0TKmzOn4NeNwnZqTVoxkj/bo3tvexanwGt1oa7rTIE+6LlyAq47GIP38tagcE4qvu0JRlm3N/oMBoR69mK2Vytycg/Ak7Y+JFTor08wuMm0jKFdFpVJzsgNSp0oTdpYiqYJMWalSEh5o2DtmKeggzAyL44kHhUsrhrJH3rzKeHwCnm1OAW4MlMXRsc7k73dWiaeJ2t1AtVOVPconwUlbJ54lPaTkd3T45F2bLLTezPCZsMPVF0Q3Zu7vMo9BL45AhyqEyokPY25TD+ddeoDvfXMUUtfyjOfWKf/lxjfEQ/OE7/IZZMIKAgwd4w5KVbvRZfgMEvsnhlAYojEUCIgEZAISAQkAqcdAVmTO+1bICdAlw/Lg2gwmfitUzaJgETAGQLypS2yk899S7u7hIIlDzx/cOXp+T5PsmD5QZHbQXch60Y//BuygIvH2lq5MDuCwevutB9kC3ccqimcvVSZ5fzHs4Dpp9FumnVTqm5yK1yvkgHtzKUmAeXpITKvWbu3Pwh+9QTgHTcUPLz7T2cAP5s9cB50PDr/7YHZ1UrPtwMKMHe77SndXn9v3J69AN/Ui/yROVR6aIibcITCK/5HcPaOPEApCPM0veInZfTCVTlLsLnOW/djQtcZilz4nFyTKQ6HssZNqzNH5AdvQOKNP2/u6n+unkqqxVXf5dooCdoiAnDThPnYWu3pcF7cz01luqdsvuClpEqc+9U2/RezWE+PsY2Ob1yaEoOP0sfi/aYgFDYZQPKLcT6MU2m1itngjdMCezAjqAtvV7gn41qeWobsHQWCoWFws2Jl5e2BP12wBPtafWH0MuG5mp3wYhaHzmZKD4ehssVWBqRljAVJKIiNxBt1Ifh3ub9Dh60lUZ34QVADFny5zZwzY7aM4cuVGSm00mLhmC+52nZBqJCb4jrZj2HcFuKhaG46ktcfErMiycUXnt6/AEmK8F5qCgHmVVAtw2eAlmJkZcmact68Jx9s5qrw5aK1UZXS2SPITbJjJHWopuFLzX4dLAImBotwpIoWmCL98dPpc/HJEcfF5dunAA9b5TZpnZLsdxIRWHEQWHlEu2LKeirXTQLIXA/nNpiA8DunAZPcVH8NZ8zk3F0jQBLltR0io8tV4/uZuVZ8x8omEZAISAQkAhKBIYCArMkNgU2QU5BEinwGJAJaEZAvbYHU05uAv27Wipro9+gC4JYcfdeciN5FjcAvvlYvHNNx5umlwKRocVfW4xb/y70Z3DkV+OVcYZXFnJWP88VBUj8vYHY8cH66qOucTqts1nnv+gzYZqdCcbZie6WEo37XZgL/1ukWoYxzx1RxcNZRo8rlyQ0Df8L66IbmTQgpHKgUWT4jC/c0CfmTtauU3h19OrAYl2+zqBJYsCXbwY1kfoWPB+b5z0CJxZaKiokLwtoQ2NeDLoMH9nf7YVujY5KFzxuJqKxokflNlyR37McygnvxYdcuYVVlaV9PnYBbW0Y7Xepg8HgxsRJLv90xMMSY2PAhr3GSJcOf09JrrWspzJGcFGzITMUbR3xxoM6xddcj4VWo8vDFC7X6QyxYy/864iCSqusFeTA2Au1V7VibPhorAkbhk0o/My/Akn6BxxZ45oncHV2NIcL07NuvotawGzTv3Im4pzYeh1pdZ4dQePF0Wj0u+mwj4OMlyBOSELR444lhysXoy8eHiooVJWvFogbpjg5Au78fgpXPDYkUB2or1TVzIryfmpJFCbYnO0aSwxHhwSIdiSBKs/jBdtU6uoDfrRWSOBI52aMEs6uWKUMSh3OubsXbF83Dg3sch86/e4XIKpdtiCBQ3Qx8eaTfGlDvtBYkAddM0nvV0Oq/pQx4fad7c5IB4e7hdiZcRfvJjSXCy7Wj13bFPLUxOxGghFUGRp0JT4Nco0RAIiARGDYIyJrcsNmqET1RqUgZ0dsrF3ciEZAvbYEma1c3fuRcJWCPOQ8ev3qxcEc6la2+Dbj7C3UbI2VOLG6/cpH4zshT/+e/BRQ7jqdwuYwnlgA8BKs01jKZL8J4AnfylU8GZi/kAo+v1zfyXVOBj/IHHmBclAxcmgGYc6B36BtT6X3fTODeWY6vLW4Cbv2vqHtbN9ZF1xV/C29Kjuxa57hIPB49Aa9XB2EwCoy/BxTiou0O2CEPA5ATgwt8coDuXlzvVYPFtRWIPVx5/ER8Z6gRuWOS8GVANN6sCbbJUSFhx/ozM4Noq8b8b9aZ1dRBjhB6OakC53y1XfzI2wM/n7cI75VbQr0dXKDF2svZLr6XUYUZ+4+IyffaHf1nuDGlS7VtAwkVkk8M2t3uWv60Y04GHjKMwf5a5/kn7/vlo97bFz9sduAFp/L4XTS6F39ftVIQYgYDalMi8YfWWHxYE2BzJWNH9nRshIe9hE3L401vKBID9l55Lq6tTQjH9+OmY2+TtgB2vkv+Oa4Gc8rKgJ4+QRDwA8HsFAZyOwq5J5FyqA4VC9MR+61FjcI5OciK0bJMcx8t144NB45QMROnLg3jL4trJgJRtvthM5+aFuCJ9cIyjEobWj6pkSjKAPHil9D/zZiGP+4fqGi6fhLw20ViWNmGCAIFdcC6EoBkgjuNL7zrs9y5cuhck1sGvOomkXJrDjA1buisRc5k6CHAQxAHasx2j6A5Ba3g+DuMv1NkkwhIBCQCEgGJwBBDQNbkhtiGnKHTkUTKGbrxctn6EZAv7X7M6Hhz9+fqrgAkJ55dJmqop7q9sxf4hYugckfzeWA2cPcM8RO6x7Bep6exAPvVDUBcsJ6rTm1f1lgveFs/SbR0DPDEWaI+zDFYbGS0wuQYcSB+1VGRZ6I1r1pZNQ+gv3YRMMNFVsz+GuCnXwAHrazZ6La1oWEDAkscBIGMjUBLXSf+Nj4be/xCVTNBnO3Acr8DyN512PGPMyLwYeIYLNh/GJFldp5x1ld4GrBy1iT8pCEB7b2CIFDIjCUpwKpCmMkeuh/pdVfiWHclNOOXuZuBpk5UnDUOc8vSBnAc1tMhYUOxQl27+nMX7CNcYUgGRhn7cEN9IXLyCuFLj3VnjTZKLGxT9qQ0FmWKG4G2HqeXVSZF4XeZU/HpEU9E+wOp4f1dy5oBEmpsK7z3IbmmHpcmzMahFm3EgzLSX8c34rKP1wNTY9Fc1IxfjZ2OT+scW4QVeOXCe1+VOkj2PUgmUfrCMHSN7b3F0/HzcoscTuM1l0e14ekta/o/cMxJYUI6/fAc3ZsET3QASpKikLjWKsRJCYDXeF+bblquJTnCF8TheqDd+f6b7b04Rxbvzh7jnEyhIuWxNYJIIUPtzAvPyXpMM+Jxnsck5DXYWt9dPg54ZKGIn5FtCCHATJy1xcAmN/0ZyfRfNXEILciNqZC4/l8HskwtQz0wR7wXZJMISAQkAhIBiYBEQCIwAhCQNbkRsIkjYAmSSBkBmyiXcGoQkC9tW5zzaoEP9gNv7OmPjVB6sMh94yTgigmn5zs8i/lUzejNgmBmyufXixxnxmGc95b2w85cO1Ubv3RiUXVqnlL1u6w8DNz+qXo/Rz0+vca13fqty4Gvj+ob+8I04LkL1K8paQI+zBNZNwyPJyWx3C8PWbuODLzYclK+z88LuyaNwVMBY7C+wnFmiLM7z4/txct71sCvzold1ax4dB9tgjftMTS0L+dm4466BLN1lGLjpRApg7Hbujm+FY81HTDLqA4FhuLs1vGqs1GzEWMuOYmM5k7hEmXdpoV04QpDLc4pKURkuQMSi52p+OApV4syou6sdHQfbMCoEud2V+/Mm4r14aPMBA9FRtZuU6yZ85+ObuDhujzk7DmCd+dOwQO1IhheS1sc2o6/eRYgaEOxWUnxblgiHmh07uH0XdRBpKyzUm5ouQkA07Q4GLRkq/ABTo9Ad4AvbvLNxIYGfYHQFEV95rMPE3bbBdvz5cV/HKlpxkeiNCoUCWusiBR3rb1IetBeS40wYjZOUZNj5k4JiOdiOA5zXdioYFqYDGTFCIkgf27dyHLzIeXLTCf7aMqIwGXhU7HDkm1EIvjqTOCScacnw0vjY3XmdmvtECFnu6odK61cIcPnhoqMHO3viSEJNH9p/GMrsFen1SBt/u6YPvDzMyQXKSclEZAISAQkAhIBiYBEQB0BWZNTx0j2OPkISCLl5GMs7zBCEJAvbccbyZPi64uB+g5R3KYrCwu1p9MVYHs5cNl77j14/7hAWC6xvbsPeOBrbeNkxwC89lRbmGmbXX+vN3cDv16t9yrR/7WLgSXO4zfwr13isDjdhrQ0Htz/w2LgykwtvUUfiiEYHs8D7lPb6zDn3U0DL7azHPp0+iT8+Ji+wGE+wws663D7xi3mE/V7xiXhm8BolHgY0evliV82H0JcbpH2iXt54Fez5qPEy4i9DZ5mYoCKD7rWDMZ+7IcRjbjOWI+khkaUdHji1uBss8MW68t06aAYgDVqRdHBCbM+TbLCUc5sahjAmA81Z6qZQZ34U+M+jC5wYtdFFcqBWvTFBuKH6bNQ02rAUy15GJs/8GR5R7g//nrOAnxU4GkjZLEHl6KLl6NKMGvVbvQavfDc9Bn4c5X6aeupQV34Cw4hhdZrLV3omhCNG41Z2NTgOMOG970juQW/2rARBqW4r2WnPQzouiQDPh/lue5N/3lKffZWI298EpZ16fgAWI3829AKfH+zxdbN+o60WWPIPAOFrVtsIGozYxH53eF+hpiqkqON2j+0yniW/VWFZWkq8KUDVRcfMqqXKDdzRYacPVoES/lZ7dXXh8UD7Y4XngFou3Ey3jfGmzka5qGQt5FtCCPw9h6gvRvY5toacMAKmM/zY4vEdAgvT9PUtpYBr+m09/rBZGC6DPzRhK/sJBGQCEgEJAISAYnAsEBA1uSGxTaN+ElKImXEb7Fc4IlCQL60TxSSJ3+cr4+IXA132uNLAHrls7EQ/e5+4KFVruuMVBQwG2U4OGi8sRt4+AQQKYzCYI3Z2xNg3VYpRj61Hnh+G8zKC1eN1mA/nQH8ZKY7u2S5hjd5cRuw2042QZugxo7jJ9w7g/zweNY0vF4boulmLK7SMYhrfCm5Eh+3hmBFrfF4vfeSyDY8u9XKVknTqMDmGRkI6ezA6tBYrPUOZ0wH1hUDMQGCvKAKSm97KPUYyts98KOSfHyUMAZvNoeivMX2BL+i6KhsBgosIhI+s4WNtmQKyU+qsnZqdLSaFtSJ56p2OlaapIfDVNeGT6dOwt3FwrYqK7ALL9TtQlxhtc0yVy6dhl9UxqChQ33150R14IUda+HZ2mUmUz6YkoUXO6Ic2nzxmbwx/BhuLT6AWKPJTOxQjbIpJBJXH7OwpS5uuT06DxFrHSienFzTlzMKudljMH35DhioyHHWyLrymTUBm7PTcFXHOPWFO+jxQHwj7i49IH5CCyTrrBBaalE2aN/GR6DKzx8xO0rET0jqUH5kH0LkakZ8vMYJosxlG0OrsTagodO2GzeGPyOJoqUtSAa+N168bNhaOoU0bWellqsH9rlyPLB4jHvXyqtOPQIM4GL2DzOWXNnDWc+MapQrxgOLXDD/p34l7t+RMtt396rnDCl3mJMgLM0YqCSbREAicHoQUP4QtldVnp7ZyLtKBCQCEoERgYCsyY2IbRz2i5BEyrDfQrmAU4WAfGmfKqQHf59vjgK3LHdvHPuweI7CeiHHfGsPwLwGNtYSeVD6onRgXhIQ5Ove/U71VSsOAXeucO+uH18l+InPDwubLaVumxUNXJUJ0KqKuSnPbBZqnlILVvZ3Sw4Brp0I3DnNvXnYXMUsjhdyRfCHdbMrJBdNTsLDkROxpsR5kDkvZ/2JTkTcZ2aZFNSZUNVme80/gopwXu5e3ZPvizDCw8sDR2IisKxnEnJGiUPWxFHNbsvRzUi+XJLai8UeTfhLYSD2tri2h6L4wNfLLIQwN9bzOQb/nSSGO3P4dUQ1frhh68DpeRpQdNUULNoxyoZU+2VkLe5av/l4/94Ab3x/6hKsrdIuC/gk+BAmV1YC/t5mxq7Xxwt1AUbsCYvEmo5AoKcXY3rbsbihAkkHywXLNytBhLHHBuGj9hDcWxajun9jg3rwMfYhIFc9n8GUHo5PM8fi7rwI5GUehfHLQzC0dg+8B1kt2sVZfrZ90hhc1qVux+Zosg+FVOFHW3LFy4jEBIum5c3mvByE+ol1W2fVWAYpPS8TCZ/v6x+S15I1dBRS7+jGDL2idZirQKQAb/EBWumAiHJG8rjakZsnAzOsTte/sl2/QkEZ/5pMYEGK6v4760A1F2M7+MoxmIA5xhaMQQcC/QxAhL8MWnEbWRcXrjgoPjMbSoDOXtd34Ofh3FTgkoyTMZPTN2ZrF7A8Xzx8rhr/IJFedadvn+Sdz2wEKJteXyJOxvD3Klu4n9nKE3MSxe8I2SQCEgGJgETAbQRkTc5t6OSFJxABSaScQDDlUCMbAfnSHj77u6cKuPA/7s33lYtE1rGjxjosi2csfNNmiM40VBUMp8YMCma/2PMOamvg4V7Wf1e7cLMiJv97LrAsFShqBD7IE4fO6yy2b1SuTIwGrswA4rSJQ9SmJX5e0Qy8s8/2VD3tvSi5sBR735+ejcc6EpA1SiiNaF3FrGo21uNJanAvd1cCx7oA1npZj2Zd2r594rMfk/foDINRBsmKxiv+SfhtQwwYETE9ThwyZlZDYZMgqrQ2xkiwqNvRbcKRJm0PImHp7hVuTkq7eoL4vs9x1pdpG0e59w93ogAAIABJREFUNsW/F59WbkRQhSUN3mryv10wHwd8gs1kDTNuuDav3l58UrMFoaVCfpObk47vtY3VumTMD+nAg6YiTNhfNJCo4NQpCyOBkGexjKLigg+dVdjL+4un4f5ydSKFkxod2IO3A48g9kA5DA4+NCYSFhOiUBAdhi+qjXi3PQzFbZ7IyyyEcVMxDNwg9qEEi4Xg+KB+pUhCMKrGROOc+rFo6taHO+f2QlAhluVaESL8j8yn6egRBIqT/JO+YB9Ujo9H3GarZ5gPBueqJguaGivUL/RydNYYkkUPQH6wyD5bN+LAOTrKcHH1FJC8IfNKrzq2d/YA36kUlB2Nx2yXH04BxkVpfuaUjnyG32Mu2G4gxrcHvwuuwMSaahj5rFneM6ZwIwy0PeMHeqK2Z0z3RM7UCz7NFy/tI422XoXWeET7CzurC7S/U4YVnPTNPFQn3mcklRQfTX6uWKQlO86CLf9dNomARODUIvBlgTh15cwSlL9/zhoNLEuX2UWndmfk3SQCEoERhICsyY2gzRzGS5FEyjDePDn1U4uAfGmfWrwHczeq6X/0qePD0K7GTQsDPr5GkCRDtbFGurEEWF0IHCZP0CMIHR5CXZgibLbU2rNbgD9vVOvV/3OSCiz677Z1ZHI4AOvWzIrhgWB3WmcPwH8YiaDLlYTsgFJgYpGJQDEMZEcF0GvCM7Nm4i8NkeYpsWQ9eRTA77R0IGNXugRZu5ERT9puOWorvPchc69dyLfWxc5PwiOG0fhnVaD5iknRgmBgjsm5Y4DvitQPXPO67GggKVSQQp/qzES3XtvoUCAjpAdL/FrwQH6o1lXY9Hsp8CjO3bZ/wLUPzVuIt2rEOs8ZLWzEqNw637cRV2/YDt/Gdvxp7hw8X6uec8Ixzgttxe9LdjkPuVdmwCIiyRMG6ZBYIbNqtblf5YzHbW36rJ0WRnXh597lGN9UD28+a3yIAn1FKJLy3DHDJz4U62ITkZodiLTSaniVNMHAhZN9jfSHyQAYatoAAk82q6ULT86bg+dqtGGgLHFMQA+WV2xySGCZA3h4ep0nX51YdnXEBaEhKRKxm6zIFL5IAnwEq6acpOUNFfsv/i/nTDKINlvVrYC1hVlcoNk6DSlhQj1CwuWpDbbPBX9OEkXN+8/Rk/iz2UBauPjJgWrg5Z39bKjWJ3daLHDLFK29j/cjjD/9AthfC3x/VAsertoPnwMurMn4DJ6VAlw4FvCU9kq6AXd2wbZyQZD39gnST1FF8RcUvQknRgJp+kmyEza/UzlQfRvQ3CXuyD9awuVJ91MJv7yXRMAGgc8OApR8q9jamq/haa3L3VOiStQlAhIBicCZjoCsyZ3pT8DQWL8kUobGPshZDAME5Et7GGyS1RT/mw/c/YW+Of9mPnCb/hqbvpsMojcPoP5xvc3hepvRmLVx/ywR3u7KkplqEWbIaMnkYL2YChPaeVk3Hvrn4Vfeh8V81rTy6/prOl9cDzCqREsjkbGpVGRSM9+GB/dZzz0/TZALPGCslVRhffaNbb34Kr8XDb2euNG3Flft3Yenx2bj2foILdNBlL+oQTuLgHjH7yBm7dLJXvDOBGtMGB5KzMZb5aLoRbstHl5ngZbqHR7kZ3wGa+3OGjNclPo162gO3JtcrpO1bJI3fF5Ikvk0tWKWTxvuPupeAfLx4DJcv9U2CLknwAc3Zi3Ehvp+VpLWbxtLRczB7LAu/E/LQTwbnobPqvxU92V8YDder9mBUcUaczVYyKZ6YnPZgLHrE8NxQfgMlHfoK3CnBfbgk7KNCKy0CnEP9BEs0Uf5/fe5cCxMG0oG5qSQgCBLGBlg83DtmJyGy9rHaaq/KDd5OKIGt2/Y4hw3bixPq5O0oAJEyRchCcRCtAnoizSiYtpoeNS0IGZvGTwUy6RIf7SNjUK3rxeMLR3woVXJkQYzIWnTogMAqk8UWV5ViyBQLrMUiHj/v222fdHw4dOTx2J9w5uyhUWb0l7dAeSWqz47xzvwZUZpnc58FPJFt/9XZAddFtOK/y3dBS/ioaWdM6YfDy39ZR9tCJQdE/6L/DzxMzg+qj+oS9sIspdEQCIgETgxCKwvBv69d+ABAV9P8ftX+dXJP5apquQvFZ42Yv6XbBIBiYBEQCKgCwFZk9MFl+x8khCQRMpJAlYOO/IQkC/t4bWnPJD94DfAJwe1zZv1v+fOA1gbHIptTRHww0+1Ze0+NE+417iyHdtXDdz7JXBQJeD8+onAx/nHIx2QECQOnJP8YPavcrA80h+gow2/J24pAx5ZCNyUpY4kyYpHVwObXNRDWYB/ZIEQFzhrDe1CzVHYADy3zTa+4c74ZkR49uL3xdoUFwxiZ8HfWXsgsg53r9+kvji7Hu0TR6HEww9vRo/Gtk5/s+MTxQx0jFJwpcKIRFKYUURWsF7LWmGYnzjsTyUEBRa0HWOeC23B3GnXZgLrSoTwgFEW3gYTPj+i316K9/59cDlu3LrDZhpbc9JxhQPLLms1DG3BUkJM+LZCPR/lD6EVuOHgfrOqw/xg80Hj5F1ZUTH7gwVXB5kKf58zE0/VCYWS1vZweDVu3+ggD4akBe9DT7gL0oGVh22D35UbUCnCTSdTZt28PPD67Gl4tFobkXVuaBueKtqO0MqBdmrHh40NBMZHAGUt4iFSAo3ISFINQ1LPz1OwAwagYWYK2r29zPUenxAfRH1b0H/aXStA7Gev+NhQDLxpZe81GCLluklCeqe0XRVCltfeLZ4J5YPhbL580K9iaL23nhWZ3ckeWiUu2RG2F+GbXPgb2o9MnG/MAmZaEUC67u6kM1+8VPzwWeL+kp0kqUV8qcSLDToRd5FjSAQkAhIBiYAaAi9uE7JmpfG9z78L+F7me9pepcIvGvw9fPVESQCrYSt/LhGQCEgE7BCQNTn5SAwFBCSRMhR2Qc5hWCAgX9rDYptsJlnbCvx2jTqZwsL5n84CkrXV2U85EKyTXfYO0Nip/dYvXgAsTXPdn8oU2kKxUMjDvdZtQiRwdaYgSh5bI34yMUr8O9UTzhrdf2gBzUPsb1zu+jtifi1w23+BYqsD/s7GZU34hQsd7xHD0n++EsirE046nzogz+4c14EXDvppchRSI1JijH34on4LwostEhyN2/LS7On4fX00rp0IfFsorK7sGw8wTooRVmqplrgLkiokiaggsv4+rjZPV9PitcyJWZAkLPBYY2Y+qjvt+cAiXLBtb/+lBuAPc+fhxZqBQTj2lmmLkvrwbbFrP/9LotrwVMdB+BY3ipOcSqOkhuCwkF7kgFQgLzQu0qG06GhaLL4fmIWidnUSh7cbG9iDV/0OI7GmQSg9rIsjLJpQOsWTptxYRyHzHCQ1TBA/1nZYlrX0Gr3w9vQcPFodPUD4Yb0nl4a34uGSPYgq1fDszYgFGi3WPySeyL5Z48cPeaWdPZd5sYNQjUyJtZX1NXcCL2/vV6UMYuz288fCeGG68Dak/I0vEK5JacSXcjJreZzyMz7g56Xptj8iYXzNB+KzcmVsG57atREGtRwZ+w/RjDjg5hx3PlqOr2Em1McHgD1OvBb5PC5OEb8AqNaQTSIgEZAISARODgKHaoHncvtP7/CPYP4RR5JbzcJyyiiABwT85Xv65GyOHFUiIBEYiQjImtxI3NXhtyZJpAy/PZMzPk0IyJf2aQJ+kLelMmXVUUGmfHXEdjDWt+j0QrtiWjkN1fZCLvD4en2zo9vQixdpy7OkmmNLuajvsgbH+jSx4Xe7360BXt4haqusxWqxA+NMWVf+n0UiTsFRo7X9D5Y7zyFxdM2l44C/LrVV2lDRcstyQQSxVkrXIntSiGMxD2VyjAkbNYSpz4oHNg10hLKZ0hNRlbhu/TZtftgASkfH4PrQHIQEeZpr2Y5IFEdr5gF/FnP3OnC00jJPZ08Nr+X+8rPBRqEHa9B5LkgyR2NF+/Xhi8atiCjqv3Dj9Ax8vzXVkRDEbOVPZZEiypifBKx1kRn+cEwtbtm5E56U5zhrLBbTPoOMmn1zErjObjuzU3GPIR3F7a4tvlL9e/BsVz4m7rPk4iiqDrJaik0V5UGUdtB/z1mjZMuZXxyv8TTgwIQkfBM0Cm+1haHMMi+Sa1dHtGBpWxWmFxTBt6nd9cuAWRFUvlDKxEwTpVHWFBMo8iVo+cX5M3OED6Q1voMgO8wvjovGAdUtQEevyG5gMM6bu4HDDQCVMgwMtyZAtLzafD3RmRUNn1AjDHxo7W3GrMfg+pn3QqIhM0o8cPMTdCtROCQjOS5/Twz+VUwBxq6xsnDTMm/2CfAG7pkhQo0G28qPAS9sc+39p9yD3ovXZ0kyZbCYy+slAhIBiYAzBOgj/HlB/08ZfMe/RbRkpfAqkt5XTHAtIZfoSwQkAhIBicBxBGRNTj4MQwEBSaQMhV2QcxgWCMiX9rDYJqeT5MEw2llVtwF9fUC4URwa05q9cbpWz/rmBW9rU23Yz/Hjq4Cc2MHN/JHVwD93C+XCGhcFb/u78FDePy8B5juxgGa9+doPba+i0wFJHKWxBkzbK6VRYLD8GuFcw8Y9vWtF/3fY6yYCb1sJI+znxDUwMsOB05NN1zFUgvQC5XYqHetOVIy8EF6MszbsUf3C3Jgcgf+bkI2XC404K7kPXx51rcCwn7ez4PvBqEhIdBU22cZVOLuPqyfoZ5F1+KmVzdmm6Rm4p3M0qjudr9GaAKIooqbVhJr2gbZiD0TX464tW/qzO1xNhGxDargImrFuKqTAoXEJeD8hFf+uDkBGlMGcq876B0lDo5cJ0w3HcN6RIxhzyIH3HIOCSNTsqhJBNyQkyh3IjJT56CAomuNDURsShF4PA4K7uxCN7v4QIlc4UJXBl4arkB0+vJnRwgqLhATZutyK/lGTggUIJRqkYvZzOT8V2FUtPjwcg1k1GREAbc1IKKwqBKJsM2I0vaEmRACxwcA3FuZP7aJII3BeOjA7Ua2ny5/zdiRq2XYE7Eb4djdlW7T3GuRczMHqf98MFGjMZ+GkqcIhsSWbREAiIBGQCJx4BD7ME+F+bDys4OulL7iOf/o8MEd45somEZAISAQkAqoIyJqcKkSywylAQBIppwBkeYuRgYB8aY+MfRxuq9heDlxmORGtd+6/WwQwn3kw7ckNwlaKERB6HW1+MgO4f7bjuz/2HfCqJZ98epz47sl8k1Ir8oJB7DxAT5swRZFx30zg3llizB0VwKXv9o/PPJe3XBAp/L7KfE+6L7kiU0iuPZjRiuKqHvTBgEKTL76r8x2wENajH42owrKyIkQdHSgZYeD6jnEp+LNnEna0+eIn4zvwQr4vmrr0ZZEwM51KER7kt26XjBM5NXrr3TykzwP7Xxy2HY+iDvIRdE1y1RKMvVgc2IZEzy5c0VWJiOI67IuMxDdBMXi+Phztva7XZ29JxliRzw7Z3jE1sBeflG1AkHWwu9qDTBaOWSDW1ll8iFRkVNvPmoR3TVH4oNJorlVbN1p6Xedbh8sLDiKk2gGxQMCYxUJJ2zoVplEHkTJgqVqu5QY2dWj7oHKLskcJX3eSL1SOtPUA5L+o8PHxcq2ucbQXySGCwLF/UJW+nN/CJMDLE3h3n/YMFhJW56UKH0Il60XtWeDPqcj40TTgWBuwuRwoaQa6e8XJX66X5Nf4aJcj8V3x/U9El10BuxC63c1QomsygQUpWmbtvA9POT/vIKPH1ajMwXl4gW5Ls8FNVF4tEZAISATOEASsFSlqqlNnkCxLAy6WhPcZ8sTIZUoEJAKDREDW5AYJoLz8hCAgiZQTAqMc5ExAQL60z4RdHnprXF8MXPeRe/N6cC5wxzT3rlWuWl0IvLTdvfyMaH/gyxuE+se+nf2GcPo5Z4yoPzuLleB1zOXkwX9aQDF/5dWLxWh/3gg8u6V/5CsnAMvzXZMkrB9TeUG7LJIQ1g5BicZe3BVci2WNFQjfV378h8yv2D0uBV8HRuOV+tABRMGSZBPm9TQgvaEegb096IIBZX4B+MQjEt81+B2foLsKEs55VgKw0a6Gq+Ruq9Xv7bGnkwTXbz8e+02MFo5QjriHxWHtuLy3BvMrShFW2n8qvjPCHxtTkrDCLwbv1AaaSRoKEBR7cNrFkZxhNjz/P92frK3T4gKBK8Ob8Uxxvw/cb8KrcZujYHe1x9m+kKFS2PhmziTccywRrd2uyR8GvP+hbDeiHWWTkEhJDAK+UyFSNJA6Tpendi2VH5R0afXe441IUNBqi9KveYki/IhkFDeLgUj0yKtTsRFTJkz4qHJxZK9mvSje74I0YGOZuK8z0kW5hqwm95DefJST6WlkOmmZQvmbowwdf29gQhTALJmJoxyOTCiWvSWe5a3BexG9VUfQvPWIt+YAU+P0zH5gX9qjubKOczb6iSBxBjdzebVEQCIgERiZCOysAP61W/xR5cJK1OXiSew/tgjw8x6ZGMlVSQQkAhKBE4iArMmdQDDlUG4jIIkUt6GTF55pCMiX9pm240NjvbnlwPfcVKQ8thC4efLg1tHRDfz4c+BrjY469nf74jpgfJTtf2VW99zXAFpJ88S3lkPmjHygkoK54h9dLca753NguVWwvI+HsBLT4v5DIQGVHmxGzz5c6NuEcw8WIDDfSYCzZQlbpo3DPV2jUdkpcjUSgkTWiBKV4QrtwYbDWxMftDdjHgzr3rSh0ur2w/o4IyNIajgiUjj/tDAgNkiMr6hd7o5qwI/37YR/Q5vTJfb5emLdksn4n4ZRZpLMuo2PFKIN1q7XFAlhwIURbYg3dSDYB7i1vRhfekfhtc4o7Gz2wVeee5C6T4eXnHIzKjcO1ZltpUz+3jAw+MVRER3A1px03NSZjjYVBY0y9EVhrXjqwGYYKZGybiQReJr0E5X8DHdPq5KZYqaIq5wYrpu5J2rhtva7p8xpRjxQ1ybYTaWRXNld7fq+Sl+qP/bVAPxwq7Wpo0RfZoYwr+VIw0B7PGKaHCoIFFqCkXTRSupY339mvDoBExckLLCcEB33fgl8dAD4V0oFFq7crmrlN2D53L97ZwLGQQQKk918eJVrxtkZ7nMSgRuy1HZF/lwiIBGQCEgE9CJAr+CXtwM7q0SYoJY/Bh3d4/ElQKiDU0d65yP7SwQkAhKBEY6ArMmN8A0eJsuTRMow2Sg5zdOPgHxpn/49OBNnQJei894CKq2yQrTi8O4VAOuIg20Pfg28vc+9UT69RmTR2Lc7PwNIEjGzRmsj8TI2DPjLMnHFbf8FvrJYUytjXJsJ/FvnXC9O7MLvinch9KBrEkW5x9apY3FzRxpaegxmdYtWRchgw+EVFce44F6cG9+DPbUGHGjxQnSwh5lgUhMjkEQhaUWFEMkXa1WIoz2gE1N8ELDMpwnXrs2Fd3OH+lZ5GPCf+VPxy0oHmw5gUUIflqEeOdWVyDhQ0s+iGYBjGTEoToxGflw0LvoqFz5lTer3s+/BCTd2mAvOnTlx8N3hINuE1/h44ifTF+CTWn9d93g98AgWb8sbeM20OOGLXuoiV4TWV8xRae/RdU9MGSUCbawty+xHcJekYTA7Hx6ylBsc2FZRCtXQLopDjsJzKRfjGHk12hhRC/amRSkwrDwMUDVCZo/ECdUnJDXIiPJBpfriWBfgyPtNK4J8aTB0Xq3R3ozMKjNuyPJ5ewpZ1cRofFXnh9s+BWKMfdjQshleJKz0tCUME87Uc8XAvs2dwEPf2ErotI7IZ/OWHK29ZT+JgERAIiAR0IPAN0eEHJp/NKn9IeZoXP7+e+JsIHighayeaci+EgGJAMTftPm14vAND+sYvYH0CPG3qmwjAgFZkxsR2zjsFyGJlGG/hXIBpwoB+dI+VUjL+9gj8LctwP9u1IcLD5P/81KR9TzY9o9c4In1+kfhd8PVN4k6qX17fC3wwnb9Yz40V8QesP3iK+Cd/bZj0AGJIgRHNWFHd2O4+Iq4QmSs0se+vLF4Bhr7PLHLLxRfFWoD2V1rL9phLUgCxrY14ZzWKuQcLYX3sQ6zT9ax6GCsj0vA1vBoHDQZzbV8++/xrJGHGYEii8Lk/DTxff1ArchJd1QfV7AK8THhq7ZcxBzWUIy2XNQd6IubJ87HugbbosBo/x4801eA7F124Sx2G1M5OhqRRhO87IPjtTwuLOx39qAhwAifaH8E7HRMpOzLGo0LuyboFnBcHdWCJzetHai8mESWyiRAddVoJaVnXcwrIfNFkoGKEWdBRe6ehOXDRUswWm6tcxKkzjlMHgW0dgmSgX54/IfWYFRKKKE6fNmE+Iq50qvPlYKGKgnFpop2KFwjZVKUQHFMjs0XB8N7+YH+WEXt4wxzrUQKr3dERhm90LtkDF4KSsYTO3ywIrEImcq7gnMkHq4kdQy9J4kx2CBhqUjR8umXfSQCEgGJwKlHgErMT/JEyJ9ayJyj2VG1+PM5gsCXTSIgEXAPgZYuYHOpON1WZXf6kF/2eDBodqLINZRtWCMga3LDevtGzOQlkTJitlIu5GQjIF/aJxthOb4zBFibvfQdfQfZn10KXJJxYjC1D3XXOiqjEJ47X2Q727ebPwZW64wbCPUx4YmJLTg/vtscWL2u2RfXf92fQaLcY1Ey0NgpcrRdNdZ9fza5B7esWg9jVYvWZZn79WXFYG1qMu48FOUy38V6UMWOy1V92dEkvje6G7dWHUbmzsNOWQ/aan0xfSL+2BmPhBCDTT4Jnx9rVyTFYoz1cToysZa+tVxYfNs3Wno9sG6DLmzY+f0Z2bi/KeH4deE+fXjdIx/Zu+wkRE5G7k0MhieT3+2/DKnNZEwYqk2e2JyWYla1OGsvnTUHvy/V/2WKz8wa0w7EH7AjaFiwp2KEILqyoCLRQ6LBlXJFmTTVGizuK4oKKlp4so6ea/ab5S6Rwntx7uQCd2kgy6zJBiW3hWuKMALcL2JAYoEPF/34aDVG6y57y6+sGPQdqoMH7bR4cpAh9c7a0lTh16fFNsx+jJxRwA6VF4FyDddDCzEH9+nNicXr4yfiUIcPUrtbsKPJG1VdHgjy6sMEtOHslmpMzi+Eh7XaiOvnh42KEHrlDba9uUs7Q2x9r6szgYWDDLof7Nzl9RIBiYBEYCQj0NYFfFcEfHpQv/0jA/4Wjx7J6Mi1SQROLgK03H17r3pOH32df5AD8AuZbMMWAVmTG7ZbN6ImLomUEbWdcjEnEwH50j6Z6Mqx1RD4okBklWipJV46Dnh4HhB1glTMrIXSiusL10KCAUt4/nzhymPfeLh6zmviALqWNjmoC9d51mBRTTlijvQXe03+XtiTkYLP/WPwcn2ouY6rtJlxIji9pAlo7hb/ldgxYJ7rYX2Tbj5p5VW4eYPzgrvT+Xl5YPfV03FRbqSWJRzvo8cKjBclGnvxgcd+xGzXlheycm4W7qhLNAsGHDWSJlz7ejvxwZLRAAkze8HDh8Z8TN1ZoGuN7Fw7JgqLA2aYnZnYfh1RjR9u2KpvHAar5KkoPOxGLJ6Tiju6UvGH8ErklJQLhQNPqQEw+XrCYLGRejJ8LJ6r1U+kcJzPvfdhwt5C2zvTfosF+3NT0buhFJ60YnLWaC/AcFlXFiAswmdFA5tKgS673JGUUPQG+qDRzw8H+/xQ6eGHqX3HkLTdbk7O7k/Sg4E1bDylR8uD1UeBZstmudola8KG/5+kUIWLUHo+cFSckCix/sBPjEbXuEj4fHFIPffDxwOmsZEwqAXZO5r3WaO1hSbxWs6VJxUdWHc1RwXh/6ZPxytFRoeEIy9fGtGBBxoOIv1gKZAaLl44JJECvYHrs4Bsx4H2mj8UXP/zOj9D3J/fLOjfb803kx0lAhKBU4oA/zAhSc7POdWHJKT5e4IE74RoETAm29BH4IVcIfXV2nhg4jcLgUh9NqNah5f9JAIjHgF++fvXLvEFT0ujfeyPZ4i/fWUblgjImtyw3LYRN2lJpIy4LZULOlkIyJf2yUJWjqsVgTd3A89sETELjhpzmWkfxXru9FjgyXOAkIGCDa23s+nHgPAfLNdG5PBCFutfuhAIcmD5TIeg2a+K/Gy1dkV4Cx4q2o2Icrv0cusLDcDamRNwd2syGrs8MC0W8PMGDtbaZrDwIBLjChYkAySbrngf+Gn7USzdZucPpjYpy89rl2Vgbkmq08Kqo2EU4UJZs7ab/DumGHPW7NHWmb08DHh8zhy8UBPq8Bpiw5xvRzEdrDmTYLEWO2z02Im4vDLt91d6Bnjj0qwl2FHvZY7B+MJjD9L0hsfT1omFYI2qFKpy7pm2ALEe3XioKg8eDIIhaeDhAfT1oTwmHGXFHcg5WIRnsqbi2fpw/esC8KX3XmTstZJTKZYBlS1oa+vFGxMm4rLCAkQ7sUPr8ffB9mnpSAg0Ie5otchWoRUWgYoKEAHrzHnhumm75e2JLi9PVJq80Wrwws6AMLxvikJuU39h7dHwKtyyUYUQZH4MP5As0lkrQKgYSwsXhZyjDa4DmayJFPoHbikXShS1Ru94SrEsOS+m+QnAoUYYuHYtzR1fvIRgwN8LOKgj08SBsqclIhCPjJuKD+rUmenkgF68GFyIjLX5tnkmfPncPhWgtZu7jTj/bTNw2MW70H7sZWnAxePcvaO8TiIgETgVCBQ3AZ8ddJ7nROtDnkqZmSAIX9mGLgKlTcDzueJ3uJZ2U7awHJJNIiARcA8Bdw6Z8MvQLVPcu5+86rQjIGtyp30L5ARAxxXhuWIwmVhxkE0iIBFwhoB8actn43QiwEPf578NRAYAMQGiEE43Kh565uFyHmDv6Aa2VwrFBdsv5wB3TT9xs/4kH/jZSnUyhW46T5/rOBuFs+Fvm2VvAQfqXM9taWgbnjq6DSHVLgK8rYZYMysTb4anYHOZ6++w/K336ELAiwfQtx/G3K0H3AKpd3YCbjBmYUOZvsLGjDhRIy9SyVI/P6kXT+7fhKCyRl3z25aTjsvbxg64hvWXhcnAaifCBa6C0RWKWoX9N2M7og9oPOVlfUdfT1w37SzymcvfAAAgAElEQVSsr/XGVZEteGrTGveCsqlm0Og5vmlGBv4SkIqbfGpw4cottvYaGZFY6R+F21vHYFF4h1mN9Mph/SwjM2NWN29BRKGVUoYhNPzwTYhCY00XOhq74dvbA4PRC30BPoLQqW5Fq58vcgPC8Yl3NL6p88N94bW4d+NmkQES4CPyNmgL5shjzcsDD8+ehzeqHVtEjQ3qwYfFGxHk7LPCBZO5VJOBsdAf7ieIFuWvQj4Y/FuxvFmEdTJ4njZjnKtF7aPpASVOZPFojbc0FR5f6pC4kQTy9RIKDy2Ncz5rDPC1Nis585DT48TaO3pFsbKz15zj8o/5M/FEtXbl2ZTgLrxZuBEBNXYkEcPr7589OB987gFPPLuyQlPwoaLphmxhsyabRMAaAf7hQNKUxCbfT/4+grR1dPJBIndyEeA+8DOtyDdd3e3SDODsMZJMObk7MvjRuaf/3Gl7ksd+VP6OuXai+KPLkf/t4GchR5AInBkI8JShkrmndcX8G/FX84DEEK1XyH5DCAFZkxtCm3EGT0USKWfw5sul60NAvrT14SV7n1gE3twD/HpV/5g84MwD5MxsaGh3/B2chMvn14tD+SeqfVcIvLEb+OrowBGZM33DJOCGLCBOJRLgua3Aky6iN/g37nK/PGRpzNQwz8YAPLlgHp6r1PaH8SMLgNS8Iixat9c9eGbG4y+JE/DMHn2FygBvYHGKqGvTyYPuU9ZtYpTIpl7YUo2rVuu08qGFmdEbt01egNX1tkTBslRgVaFrAQFD7dcUm6E0kw1vdO5B3A5ttmLWa+iK8MfZoxeiqNkD94XV4t5Nm93CuGlqAkK2lapeezgnBc/FZWBtuac5H+ddn3zkKJZkBDzMiO8iY3FTe5p5LB5G218LtFls3xzdIMavDzcGNmBWay1CerrNvIJvgBdSGhtFQV+xXqGUZ2+NQ0sojtsd6ItNk9Jwf1sSqjoYRiLajNAuvJW/Dj70dqb6hiSF4snG4iYLLbypJWOkbHQ07gzPxq4WH/P+sFmfgHkmsgyXrt85cCks4JPwsKhBVMGkd3RrJ3DYjsAjmUHlCr+w8n912q4h2FcU9fv6YIoM0G/VRTkXT/naf2DsF0RwFqUAW8rUbcO4HXOTAFqxkbCzyTjxRc3M0VhaOQZ1HfrI0peDjuKcXAdKtzunAZMG6c1dfgz4+IB45hw1PjcMilqWLkkU1Yf9DOugnLZgIK+9tWCor5BrTokDmHsk28lHgO/+pzdpI0aV2dyaAzBbSrahjQD/MGe+2YZioNjqjzyqJBeNFtlkyY6Vw0N7YXJ2EoEhhAAV1o9+23+CUM/ULicxnarnCtl3iCAga3JDZCPO8GlIIuUMfwDk8rUjIF/a2rGSPU8sAjygfvX7wE4dtsvKDP56LnDZ+BM7HypeGOSuKD+8PYHEIJFnzFrwgMaiMPMXeOKenYN8cKDOYFbYOMvyuCCyHX/P/Q4ePBWuo23OScdVDtQYjoYgGfX+ghZkvbxWXWZjP8CoQJgSgvF6egZeO2xUVZdYX05VCK3SWASnxRgPlxNTWqCbya8CIUp4PeQoZm1wz3bsydmz8ZzFuio2UBA3Hx5wLHawnluwD0A3IKpl+M+9XuW4dvMOHTsgum6aMhZXt4qAnAfCanD3pi26x+AFa6ZmoM3bG/OOFiGwaqAyqS02GHszkvFoWzz2N3oev8e1yZ24qaIAniYTDDH+GPtdPkpHx+BsnynmWrmzrBgOQKeu30RW4+LiI4godiCb4sU8vU0VSWoo8E2hsK1Sabsmp+GWvnTUdvaTKVsj9iO6uVX49TmyMOO9yGjxg9LYgWPp0WjqAnzbu8zPT62PL9YGRuOt9nDUdHrgleBCzN1k98xYB8SrTVL5OWVTjGah3djW8v7PB/99aqx4OCo02nJZ3zMjEqbx4TB8WzwwkEfL3Mj00QaNpIcjNUxKiMgT2FAENKpkvvh5ATPjgXXFTl9E782YjJ83xWuZmU2f70W14i+b1wiyzbrRwoVWLoNtvRZFwe4qYfVFv0TKEsdHCaJGjcke7P3l9cMPAb6j3tsHbFNRGPKExs2TRV6QbCcXAb573tZh3cnZUKV59wzAs//3yMmdpBx9UAjQkpGScv5Rx9+flJCfKM/dQU1MXiwRGAEIMAjziXXuLWRpKnBJhnvXyqtOKwKyJnda4Zc3tyAgiRT5KEgENCIgX9oagZLdTjgCtM+e/7p7w945VaiXT0tr6xKn1hkAyPBNsgUsDGfHmE9U/qsrEr/Z7DhA9W/BRbh4q36lCE//3zBxATY1aFOJUJVy47Yd8Nlerg8iFqe9DHgvfRx2eoTAUNeC5PZW+PX1ot3DEzu9grGi1mijGOANJkSK79NHLIf95ycBa60EHzywP9mSSf2rtgJMWp+vb16W3u+ePRPLDZEI8REWaqx5c8pqNTReznybjRYRyLSQbrx1cC38eHJWazMAv5s7Dy/XCGXQDyMb8ev167VebdPv/WlZuL85EWmBPfhVZB2MlcfgZ+pFh8ET+f4heLsrHAUtXgPGZswIlT1bK4CLYzrwtzXfmGU2v587Dy9Z5kXhBQ+zWefV8PF8JqoCF2/YoW5FRoVFWpjw09PYVszKwp0NiebemSE9+K9PHjzXF9tKSxyNRY98KkvIYDpoTfGh2JqZinYfL5xbXQrfsmNiYbTgIkmjKC1IHjCvhOSmtXUXyYlSK6KKAcdUwhCQnFiAvu/lFuLk/DRgRYHGFdt2a5sSj2eTM/GrlavV1SKO7sC5c220CaPVV7tFUsSi4ugQYE6yYCRf3OYUq+PDUrVCiZ0LY9tH5s3HP2uCda+VMG/u2ILQwzVC3qXcgxks987SPZ68QCIwKARYzGXBniotLY0yVqqn4vQ/+1qGl30oVewFntWZeaQAx3cI3yWySQQkAhKBMxkB/j34h7XuISAz5NzDbQhcJWtyQ2AT5BRkRop8BiQCWhGQL22tSMl+JxoBOnCc/YZ7o9IFgmTBKW9FjQB9a12kqpvig7BiZjbu2jfQiut9v3xM3+VesfbheQvwRo2KtxhEjvnFY4G4ugbct2WzZvWLKcIIQ4gfTIlByIuJQsDhOiTvKbHxzGLw+b6MZHweOArP14aZLbBnxQv1ibWjCg//RvsLmyn7tiK+EJmr9rm1dX9fPAd/rggzxz5QOcSmNa/bmkjhdS9GFGPpBu2nZvdnj8ZlPROOR32MMvZhRd0WRJSohOLYr9TbA/fOWIiPav3NP+FeMZuc+eZa2h8yjqG8zQP7O3zxeu4qM5mQS8VS+9jjSijiQ55Byau5P6oOP6F6hhkCWhr97EioqNlNWcZqiQnGpQmzcajFC1/EH8X41fvVSRRlHixu8qF1pgShzx9zMUjsBPkADFsnM0dFCQmR8ZGCvOBn0548YL/EYGGdxfE5FkmLAktQO8cl+NVt2h8kB/jlZY3Grd7jsaboO3jVtmpB2LaPgzD44x0ou7oyU/wridHl+c496qmqIcnrytsNwC8WLMI7Ve7ZHG1OKMCoklpBIJNMIdnDDBb64nv2q6f0gyCvkAjoRGB3JfCPbfouOns0cPkEfdfI3toRYN7R79do72/d85JxwFJhUymbREAiIBE4YxGgLetj3wJtPfoh4N9i85P1XyevOO0IyJrcad8COQEZNi+fAYmAdgTkS1s7VrLniUWAB27mvObemD+ZIfKNT2mj1Pr/cl0nvlsmZArxw9bLpuHhgyE2meIf++YhZ7eOoGirBT46dz5er3V9kpZ1TR5G+qJAuI29MqYa81ZuhwdP7rpoLRGB2DM9HUGevehr70XWt/tde/N6eWDTkiw8Z4o317OtIxiU2ywZDVCUYO9i9vT4Jlz+yTrthXbLgC3RwXhs2mx8eNTLrG7JtRAP9gSJo2USF7oPKYoU9gnxNuFl/yOYseWA6mN0JCMBPw6YgP0ttkqjZ4JLcOnW3arXW3fYl5WCC7syzXVo1s9Z4+f8KMwglmrtr3GVuKz0KCrjwhDU0oGAbWVmQuHtedPwYFX08cs5dmpwH+paTfhT3T6M2V+iNrTtz3VaZ706exr+1hqNLS0b4a01PF25I8kQV9kkJFpIgDAQno2LIxlC+Q1toAimq0YfOBb8qU6xJy2UB8heRqUDLdqbPeibhmf8i5C+u1AE1rNRQkQZB+Vajj4kWtZvb5u1uUSEObFgad9oXaaBkdNKytoPT9vATZ1bEX642vZHfICJK7MoqPSRTSJwKhBg8LXCqGu9Hx/ihxcIKyLZTjwCDCR/ykVQnKs7npcGXDTuxM9JjigRkAhIBIYbAv/NF57Iepqf5fdbuPz9pge2odJX1uSGyk6c2fOQ1l5n9v7L1etAQL60dYAlu55QBFj7vONT4Es3eIVXLwaYhX3KGk/yP7dFZBhobeMj0XrbdGwo90B+PdDZA1xZUoCkb92wtfIw4N65i/BRtes/jqlEYA4o67aMXVhXAvw0sg7fqylG4sHygeSFtwf2jU/Ci/4pqA8KwHVd5ThvzQ5tJIeHAe/OnYIHqi2eXXa4sLZ68Thg5eH+GjIPA9N+6bGjO5BwUMXT3m68r6ZNwCsho487Oil1ZC1EirOD+gFeJvw2pAJnlRYjzEFuSEd0ILanJuHXHYk40jbQamtGcCf+UbYNEeUNmp6KbqM3Hs+ZgVfrRBjrPO6RxQKNll2ME6G6x1X7R0wZzltjCV8/ewzwtfgAmXw88dHMbDzaMArHug1YEt6B53ry4d3VA+89GsgG+5tG+QuCQiEFVFa4JTsN64OicN+6jZqwsOlE1UhDh+N8EKWjNbHDoj192Um+qJEoyvVUslCpQbmUQsjwZyRZqFShnVawn7D+0tk6ZyfBd0+lUPww04PWaFTJ1LaJDyPtuqimYTvaaBvqw8JufLDz+1LyddNk2xkVNQDbKoUKh4QSeaRIo1ARKf56Ltbw9swcPNioP9j5gsg2PJe7BgZnGU9UMl0+HpiuP39FJ+Sy+5mOQFUL8Ls12j//1nhdPwmYm3SmI3hy1k+7xMfd9PbnHww8CSKbREAiIBE40xEobASeWq/t+5iC1TljTnyA6Jm+D6dw/bImdwrBlrdyioAkUuTDIRHQiIB8aWsESnY7KQj89yBw9+f6hmaMwAdXAkbHMST6BtPaO78WeGaz1t79/ew9v908rVk4PgHnGrIHqDvsJ6QU5lkXnhYLbLLYX/Fg/I1hTZjTVoeQni70Ggyo9vbDSt8oLK/zN0czJHp04Znta+BDSbnG1hHhj6vGzMOuYwM3gzXdnFH9blKMeCBpwCiZpZ3VuGXDVs1fEDpCjLhv/CzU+/ublTbW+StarL2sCQv7pQV4Aw/P6UVURSPCqxvM6p1mkyeO+gXgPz2RgK+3+fAys6/tRQDMS795VAsu27QDQZUDQ+Ot79Vj9Mbr06fgd1WR5v/MbF3Wo/ldSWmu5sk+5A6+9NuP1K4WYUnFgn1dR79VFYDKtBjkJsThnNYa+G4tHajA0Li35m6uLKfsxtkzaTRqvXyweIcbRKGWe/Ehjg4QfmWTooBjXf3eZVrXRDKGxIs1kcIA8wmR6KaFgrcHvL8r0jqa6EdrMlqMkQEjWcN5KuSG/UhkFxl2zbB2hkSxTYwG9lU7/yy4siLq7gb2M6C+E6YeEwyfHXJNRlnmw2fkHL+pZsJNT/u/oCKcn6uS8URPvx/mAHSR6+oT5BTJK9kkAicSgcP1wJ/dIG05B2khdSJ3wnYsEtJ/WufcftDVnX80Fch2fDDj5E1YjiwRkAhIBIYgAsz8++oI8LG6at48+7hA4EfTgCj3bFuHIAJn3JRkTe6M2/IhuWBJpAzJbZGTGooIyJf2UNyVM2dOtDW64SOhotDa/vfs/sgArdcMut97+4DVhfqHoWzme1Z+7CzivrRNhNTraLRNeqw+5vgVZguviHakm9rgY+pDq4cXdnsHo7jN0xxrMTMe2FFpE2/i8m4s4F96rAxXbrYoHXTM7c1ZU/DrBls7Hzou8QD+eoubFAUHPHhf0CCiKJgN/EJ4Mc5iRomKK1OXvw+enzIVLzSGm2vOhFCx9eKYvJe9JRb/O0kcZriMChCExTdHbW3GWO++LUfE3dAdqrRZWGzFBwGxQUJBxBD7Xsv8SJqMCuw/AM3aOcUF/l7AZO92XNNSgimHiuDZ0mWLnpcHDmYk4r2QBLxYK5QoJFFIiuytse06J0GQX85EFtdHteDxjWvEpBi4ziI+/z+L+NYsjzUjo4MMGbDtOq7dmp1m3soZbmYAaSJtlPkQqA2lOp5SS1cSKcWNwnea+JHdI25NFvKQki4yZvUWay4td+BDubdaPDjcCxJcao1qHzLBZDz5EnR2P6pbfpQDJIc7HZEcb9rOw/Dkh4DjUAmjoT29YA7+WhWmoafokhHYjffLNyOowkIAubpyRrz4UDF4mhinhgNjQoE5SeLfZZMIDBYBSaQMFsGTd/3Xh4EPNRb/lFmwCPjzOYCffD+cvI2RI0sEJALDCgGqnL85AnyickCJ1rc3TALiXNs/D6u1n4GTlTW5M3DTh+CSJZEyBDdFTmloIiBf2kNzX86kWeXVAD/6TNvh8numAxR5sP54StuT64BCDQVE+0mx+n7/HNv/eqBW2IQpFXqVhVSlxuCakMk40uplzuS+M7wBZzdXYuKBIpsg+da4YKyJS8R7njFoDTAeV6Oo4USSgzEOb9Zvx6h8fXZbHLsqOwH3Rmabi+hhfuJw/ppi4JiVsMW6rk9I6LBEx6jHwypwXkEBAqscqzkq0kbhtVGpeKEm1EzAkJxZeaSfaGA9nRb5CpQULJCkoJvSdisShM8L+8YEAk0dQKC3qNe8n+ecbCIZszBZEBvWa7HHk3V0qkrInywK78DtxlpEdHagpdOEKpMP1hoj8H5doNn1iQKSUUEA84FIwti30aECmwBDL7ICuuAFE2r7vLC21sdMrrwVdBhzc60KVJNjBBtDcKgk2lcj2KD0iH52Mj0cOGQJV1d7GOx/ruPaz+dPRkJXGyZtPqj3LqK/lnspRIoOgsdmMnw4+QDygbAmUNiJHy7afPHDQHbNnhBztCo+bOxL1m10mK3SRQ0FXssHq8IF8UJG9Pt2tl5W435bCNQcPoYrCgtgoMom0Mf1eFbXNo4KwS9SpuDLBnW1SJRvH1415CNrl0YfRn6pJ6HED6J145oXJQPZMkdF7fGQP1dBoLoV+O137ll73ZgFzE6UEJ8sBKpbgD+uAzpcZ7PZ3P7qTGBhysmakRxXIiARkAgMTwSoTKHKmYdTKMe3zrzk3838O3FijLB2lW1YIyBrcsN6+0bM5CWRMmK2Ui7kZCMgX9onG2E5vhYECuqAZ7YAtPpyJFCg+86PpwH8rk1rp1Pe/udbmMM59DZOnMG29o1V/td39vteORm3aXQE3sjKxtMHjQjwNOG5wCLM37zPpYqjNSwAn8yejAcPC/WDWiPBwKL+2uJv4V2jf40tiWGYHTbnONlAYoZ1bk9D/+F4Hw9gtZVjEvNbSLawpQX24FqfesxuqUFIbzd6YUC1jx9WBUTjzabQ4/ZD388C3ssTRANbhNGEi8f04l/7vcxECuvj/B5BJY6rNj9RKEs4lpZGURGVNfY1YeVaezsuxkRQnNDcJQLkSYDwexCzzhm/4axuTv7j+/FtWNpWhawjpQistpBLPp7IG5eI7tggZJGkUNQTnACJgbRwATalCVRUUE6zoqD/y5bO0PjjmJBYoFWVhsyQ7hAj7smZhwXttbhu8w4tsNr24cbRY80VqcArBkukcAyG6lBBwg2ybtwAKif4hZVfTvlllTZijhrlTMSdPycZQoKARIaKumrAUK72hqQOMwOcWN1sLQPuWwl8nXwUfl8UCOJH517Xx4Xi2bQs/Ks6yCmvOy2kG//TcQiTdh/Vt6/OiDE+U5eMBTL7FXb6Bpa9JQIWBN7cDWywyB61gsLPLn8nhxm1XiH7uYPArkrgpe3aiC6+k6/KFFlSskkEJAISAYmAYwTq24D6DqC3T6ia+R3zlJ8slJtzshCQNbmThawcVw8CkkjRg5bse0YjIF/aZ/T2D7nFMxN7VaE44c86JuurPGzDwnu4+sHpk7eeZzcDVJLobRMigbtnOr6K420oFv5RdgXYzhA/bEtLxrMeiQiN9jXXy6+uL8TCDfs0zaArxA+PZU7Hm3XqMm/WMFgPXlv4Lbxq9RMprQmhmBMxF76GPtwY0IAlLVWIP9YM7+4etAYasSc0AhtDovFyofH4Munyw4P/+zVCelkGQLeQZguJwsiF23MAQ9UxBAV7o77dhM1NvlhTrs6yUWWiNwbD1TX2RAq/00wZBWwpd7xVVLoE+QpiRhE98L/9NbwM52/eLfIznDUSCcE+Ih+EDwVzNhhwwyK+QrAsTrG1oaNMiAUqLZZT1vfVQQ4cnDcWTxhTkeTbg19vWA8fftnT07QQAASWkp78OhzLjkfwTksAkJ77sK+rUB3redCCikwYGy2qKCmi4oObRTmVNckyPlIE3+ttk0eJB4HB2Q0d/VfzyzGzUWY5PzX/ky+EXd3eUXkw0EebjeQOX56cq9YW5Y+89AR8g3Cs7AtBZZcXgrz6MNOvDeeGdWDWmj3wa9C5n7y3K4XR1Fjg1ilaZyj7SQQcI0BC9Pmt+tBZmgpckqHvmqHUmwU02veRnee7aChbYfEPurf32JL/1ljydxhPKjBg/pSG3g2lDZVzkQhIBCQCEgGJAO2oRW6hib/fZZMInCYEJJFymoCXtx1+CMiX9vDbMznj04DAV4eBj3R6ftP2aul4PB0wxlwwN+d1BALnp4v8juOtpElYL7V3I6/BA7t6jfjYEIWNDT7mLtdkAgH1LXhkrSUbQ+PyCzMTca4pSzWgnkQKVRxru3IRfUhfdgunUjMpHi+GjMYdxXmIKK5zOLs+X09syU7Hz7tSUNIuyA7W6Vnfp1rdWTNnwaQKey3WmUP9TDg7qQ8zo3rx640+WI/taAz0x4qoRDx9WD1gkYeRyTvk6nQwc5Y5Q8KEAgbyGtZtfpJQ4CuNHMDlEa04r6MK2U11CGjpQJePF4pCQ/FtcDQmGNpx1tpd2hQNPNHf2YO+nj60pkXDM8Qb/gdrgGKLgsWeSOEk9Bb6CfyEKGEVptYoBSKwh+pRkJkEo9ED8esPq11lCw4D2K0D4B1dnR0DRBqx3CsanvVtuGCrSui5ozHoDRfiB5Q6tpJzqixhwW9iFNDeMzBInmE38cGCwNDbqDqhMoZqnHDLCXnmp9CyLSPa6Wi7K4GrPwTI077ftxeGNRa5F+fJB1xr6BT3mSFDSmZToA+6/X3g3dkt5kWFE73z3GmuiBSyqDdnA1kyWNodaOU1FgRIcL63H1hn9bJ1BU5MAHDHNOHxONwa84/2VYvPI981lDrSo5IWZfwM01qQn/+h1mg5SZKZwWYKyUvZ5swEYFK0eHfKJhGQCEgEJAISgTMcAVmTO8MfgCGyfEmkDJGNkNMY+gjIl/bQ3yM5wyGAAE/zP75W30lvLw/8YtZ8vFNjW7RhzfmcMcAPsoEpcf1rY11k4T+FyMC+rYo7jNTVOokcDwMemTsf/6wOcgkg69N0b/q9sQSXbtmtG+z9iyZgbG4BvDRkSuRNSsEtHhko7xBkCoklHqJnPYzCHOUgPessk2KA5KA+xBs60drjgRBfE5bUliN9VZ5Zyn54xhhUJEVha7sRq+v9sKtavYhEMcLGUm1uI9ZAsFbOQ/QkdJSWFAxMj+/PeCdZQhwZmWFNvEwI7MafTEeQtfuIeYG9EUa0BfnDs7sH/nWtQvXAC3WoCEpmjcEPeseiosPTrOqfHNKNi0y1WFRSjMhxIcCXdkQGVSm0slGz6WJhnwHnXHCPSdgHKI1FsE4rz3ulCE9bse1WfmpR/qCiypcMk1rjGLSuog2MqwNY7Dc/GW+FJOKRghCcE9aO57evgYczvzVn9yXzZT1X+35cN/M97DNlePKbBT+CbU/4kJwJ8NGv+OG9SZ5wbVS4sJFdPC8NGBvpErkn1gH/2AZMiwXe99gHA2V8SuN8SLapKWQU7FmcdaaCInnEPbeckkNdW/9clfuRBOIzrAQV8SQdpYRUJR11kStFKdd1k9SeEPnzkYgA5aZHG/qVClR6mWWKbgSNt3SKQw58sbtqfLcxb0hRmQ0nXHdUALQxI5HrrNGjk0obyh2HauvqEe8JnqAYiqTPUMVNzksiIBGQCEgERjwCsiY34rd4WCxQEinDYpvkJIcCAvKlPRR2Qc5hWCDw8QFgpfaT9numpOLS9gyn9XHWc55YArCeyEYyYf7rA2MiMkN68HHBWv12SQDWTMvAjc2pqvByDhP6WvDQxg0wKCEkqlcB3aF+6IkOgpGKCI3tq5kTcVtjsk1v1qlJ6DBHhHVYcjLMUL8mrRsfHfUWtVwAM0O7cDlqEBDnj/+2BmNVqaf50DwzTLS0WfG2ZIhyTUpAL671q0dCRyu8TSa0eHpiq1+4OSReqTEr15I3uGScqANR2MCfU9FDIoy1wORQcXCYLlFVdd14sWUvUoqqsCcjCd8ExuCjzjDUdnqYuYrpAR34Q3cBordaBchoWEhHqBE3jpuHLY1CtaQ0hoI/m1CNOfsKBuZ70A+NhXtHyg+yewyoJ4vXaGUxpQys5Idw0rVtQFSAUGisLhTECxuL7ezHLCFfL7SH+8O4v9r5apjBYla9uCjk82rKtwJ9YGroQF+vCSYPA5r9/cwbELZZB27cMMqv1B4WfjBbu2wJA1qqHaoDqJxhoBA3W2knQpFiTUJSUXLjRCDYuZfhfV8CHx4QTmN7I/fCwA9LjZX9FveTJ9R5GrzETn3DPeI6WMzks+CKwGPgEfdbKeDyGeI/nC/tyMZFAk0dA+9BbNgvOgCoaLa1LVNw42n0O6dreNpllxGDAJ8b5oNtLBn4fooLBOYkCV/EUJ35JZ09QtpI1YO9Gots/bxEQdhGnE5/UDd3kR+spAoAACAASURBVHi9sl2bWpG/RG/IEsSubBIBiYBEQCIgEZAIDBsEZE1u2GzViJ6oJFJG9PbKxZ1IBORL+0SiKcca0Qi0dQH/2avJF+poehzuCp6I/S2uT9hSjfHKhUBKmEDu6g+ATXYHay+PbsfTa1e5BW3J1BQsastUFTssSgYeqDmAiX0t/TY/anc0AOWLxyJu1UG1njY/b4sIxJWj52Bvs2tsGFFBRyoqVazbktFAbpkJx7qEAsUZOeJoUqyjWx9cTgvowc89yzC3tATBFXan5708cGhcApaHJeDZmjAsGwNEB5pQ3mww23Yp4gzWrKfEirz3nVUie5zKl/Zu4I/dhxBzpAp/TcvC6zXBA0QXDPJ+O38tfJssigQdSP5nZg5+2WglabJce05EB573PwofRdrE09+K7RQnS6aHrahRFMhps5QRISav1igVIvnBk8U+XqLIfrjBlligfQ7VL1092JiagqDqJkzMLxFZINwyFudnJ+JQRChS8srgTVseR4qIhCChAmEOAjMB7FtSMExdvTBUasz1UfJItGQdJYeINSkkhBJyT/KH8+eardu0OFHE1ducZcNcOg44N83paPd+AXyUL368Z1Qegls7HN+fahHOnfjyOWDjHpAMUv7d1ZxJuPA5UdQmSl8SciRCtIQNcQySLYrqRhljYjRwlyRS9D4yw7Y/1UzMy1BTSlERdmMWEOtaSekQB35mixsFccf/z18iHG+45m9QCfvEWte5WfZAMFDsHPXDE8P2OZITlwhIBCQCEgGJwAhEQNbkRuCmDsMlSSJlGG6anPLpQUC+tE8P7vKuwxQBVseZR7DqqMgQsGu9gT7YOn40HulNRn6rNpuS+2YC984SA726A3hsje2gV0S34c9rV7sFWMGkZPwxYSLzuR1ahnHQtOA+PJDajGUfbBAyCxZ3ebrXldUS++WMQtuxbvgf0h+y/c9ZU/BIQ6zLNTFrm2Ha1tMgEUIBg3UmiT054mpQ676TA7vwdPN+jDnoOgOiz9sDH87OwdbIUfjPPtfbQHcV8helzcBrUxsxbe1+PBSfjf82OM5vuTnyGB5bv9atvV2fPRbXdaQfv/a2qCac31qF7PwieJH0UxqJEhYTKfWhAoGAsphO+ycWGCOM6rY41jNkf1pQsVGVcNhJNkiEEaWZCVhQPRZ/X9SN8xN6BNvE4qa3J/60DnhtJ/BKejWm1VTCp7ARhgYriysW79WyPlJCBZlS3uwcQwPQtSAFPmVNQj2jNSCH9lQMfWdBlqoTJS/GOm+GONBKh++F/TXaTo1bz9QZkULS54dTna7pN6uBf1lc+B5OO4bbGo7AsLtGKEXsGzEnmWFvV6blqXM2P15LLPmPlmwYjkNbOWvyhqfnfzRNyyxkn+GOAJ/L13cA+zX+ruD76vYpgpA9k5s72Wx8Pz84X7xnZZMISAQkAhIBiYBEYFggIGtyw2KbRvwkJZEy4rdYLvBEISBf2icKSTnOGYXAsY7/Z+87oOOqzq33FLVR79WSrGJJlrvcO9jG1AAJBHBM7wQISUjgBVLI+9Mo4SWBJJBQgiFAjCkBbHDvvcrdsqrVe++j+deeo7FmRlPuHcvG5Xxrsd6Ldc6553z33jMz3z57b1E45Yl1Fge9dagICcLTlZFYX98vdaQwIVQu+uA7ghjAw7Tz3xUdeYicNdyZ4d1YsmcttNb+FArHLpiWhjfiMmBxuqhvN6G1ywRtXx/ivXoxSd+GBF0PIltbkbK+/4g7fSB4ip3rYvHTWsbIUpT10ol/V3K638Fcd45Nw82dGU5XQUYHa/7WakW8NL1Httoxdghe2P+bs4FJHCAQY9D14QPjYYw4rNCkWK/Fsssn4UfFrr0reF3OkYSFz/yPYznC8Zsa530eiGjEM1u2KLybts0sOWReXoqqwPXb9kPrzOuCXXlfyQI4WDXAMAjxhclXDw1PPqsJS4HdbHITCmx2rK1mCvfDwcnpKEmOxbWj9eIKlJs6XIPSvFY0tvahTatHriEEx4JDkGXoRrDehJsqiqAh7UdJRBrQlxSChiYjwvMGWDU9/t7YPyIJK/2jcd2wboz5KlcY3VCOzJ5h4eo6Wg0a5qcjdGU/84pm8NSgo+8MAZSiJgG0UErLkWyas7EJblD2ypHvAZkvj00GUsMc9l5TANz3xcCreSQ5D/6dncDOcsfjuQJEXK3dGjRy1I5AkgWcczUOgTvuKUR0LTFvOPCdkUrusGxzoWdgawnw7kF1q/h2JjD/EmZWmCmNm20/BJVm8J7xAD/sZMgMyAzIDMgMyAzIDFwQGZA1uQviNl30k5RAykV/i+UChyoDctMeqkzKcS71DPxyPfD2Ac+y8O4NwKywLrPsSdPBOhgbu9Cr16HS1w/rA6Mwv7UKI/cXqh783wum4oZrwmGAEdhSIige1J5iYdOq6G4aEQ6NfRGYhXcWe62DrAaCKyxEW+SOVM8KODl+OOa1Dy6isiZPiwp6jvBArcUXmJeNMgBfF9j6nfPSnEZjB1BtZRHhbEoWm4wpHXX4wZbtqmZelRqFBYaJaOqXFHPVeXYi8FLXcXy7OQ2nOnROmy6KasXvNm1QNQ9L431TM/G8fyru9arC/JV7bAEvZyNaDOIPVJmfgd7pidDzuVAZpmFB0NR3CMktykcRDXQCppDh1N7QiZ5JwxDsZQI2FwMR/mK+FpBOo0F3gA+2hUdBE+qLWcv3QuOIXeFingcWjMIHneEI6OtFLzQ40eeLzfXCeHl9VimGd7YKhgtZFBZ2icJ1vztvCq47dhzBZf3sm+xwQKuzZczEB4r3QgkoRTCGyKm9f4n1fO4dD+Q4L4be/gmwsf/WmUlFEcfg09kDlDYJcMc6KMVFsKdKoQwa+5IVQMaRK4NrmhtRfo17gruwBmUIQj0wHkhyDBS5G0r+/QLKAD14/rJDPSOKG/5TMy9cWa4zvUVlzcBvPGMr4tp04OoRZzoD2V9mQGZAZkBmQGZAZuAcZUDW5M5RouVlXGZAAinyAZEZUJgBuWkrTJRsJjPgJgM/WQX854j6NIV69+GTxFIkbT4BbVOXwwHapiTCf4e6gnddYjjWXjsZN6f3AR8fhdnYw1EQXRgeMtj3wd1SzgBIOTEpDb8OyUAPTeQ1QnWKdVtaLtDHnKpK5c1AgZVqVHwAMDxM2HPw4L11zEwEaLWhJOg7/EzNEYw8oB6YemHmdLxSYwcuObgo/ZLv8qnG48VRLqcU5mPCypZdiCysUTJ1mzZ/mTUNKzoC8VHRVhhqlTNKTCG+qJkwDGu9wpFUVY9p+9V53JyehPX9py8KJa5O1g9eB4vtlMiiLwdNgQx6INfOhF4L7JuTjS8MMXiorRiR60+qzkf3qGiMNk00W7FYR7K/EcvLtsLQ3Q0N50yfFxrOO/JdcXDVY9lJWKwbied8SnHNrv5T9bP6Hzh7+TuCKUQAmQdH0ngWo3eyvVyBKJwHpY3GO5e/++w48NTqAZzDTwesGl6E+KYmaKEFWrsE6sh56LUg+IUNRdC02yXIUab5AhLssfeCcdSWrBRrpomzO0cwh/Qp0sxmJwG3jlJ9j2WHCzADBNle3OrZxB+eCIyO9qzvhd6LGpFkpHgSC1OB6zM96Sn7yAzIDMgMyAzIDMgMfAMZkDW5byDp8pKDMiCBlG/ooejr68PGjRtx9OhRNDc3IyoqClOnTkVWVpbqGb388ss4ePAguKm88cYbqvvLDsoyIDdtZXmSrc59Bii9TxWe0mbA2Cfqn9OGCXUeKkudb/H0auB9Nx4a9nMO9DLhbb98TNzVL6vlbFEGL/QlBEGrVDpIq8HGayYiZ14U/FmU/tTJ+JQQIiuAzBOlY1vmyGJroDdQ5sKfwsl63p86Hk83xJl9uwmgcAqcCuvMJA1YS3rZD8E6NRkfqwoGFJrGRIvD8/YH7ukZHhswANbQlzzVqwtv7lynzGzb7uKHpo7An0LScIOhEQGtnejsMaHT2xufdwdjVfmAJj3X8UhiK14tCXD7mL4UXIabdu532866QfXwSCwMnIQnDJW4c/teVX3ZeN1l43BXeTw+9TmK8bkFqvuzQ/f4WHjvqxjoOzcJWF/seCzrYjvBFHqatAsD+ZLsBPw5ORtfFOnN5IcTXnvgc6hS/Zx89fjV3Nl4q9DWV+Fn4dV4cOuugfE4l9RQQedww3rJy0zAE/5ZKOv1wiOpHbhnxx7oeVKcSNleJ3Pkg0xgkgAl18j/yD7x9xaIYXETBqE99qvlu/X9icCwEJd5WHIA+O2W06k0tyWg8mZGFTLqG6E3GtGr06EyOhT6UVHIaG4A3jkAVLtgpkT5i81WqadKepiytmTE0JeHbJRvZwFhBvX3WPa48DJwoBJ4bY9n8148Gpie6FnfC70XP9Ce84ytiOszgIVpF3oG5PxlBmQGZAZkBmQGLpkMyJrcJXOrz+uFSiDlG7g9r7/+On7+85+jtnawmeS4cePw29/+FgsXLlQ8s6uuugpff/21GUgxGo2K+8mG6jIgN211+ZKtz34GChuERNb7hwbLOPHqMxKAeycAlNg/n+Kvu4A/qDx4+3J4Ob69dZ+yZdALIsAbWp7sdxV6LQ5dNRbDLotDcEcH8P822sjz1CeGYWNMArb6hqPCqIe31oSnjcVI35qnbB5WrZqnJCJIJVOmM9SAuzJnwD/Y23zg3bKcRaOAL07YGsk7mxBrspclAyutMAD6qrD2yxoxwTb6qBc32h78J3BzX3wr7vrUgwJVsA8aRsaiu6od0QW2jIqOyAAcy0jEp74xePuUKOTfmdyJfxW598uZFNSNf5bsQEhVs7L8a4B3p+fg53UxWKfLRfJhx/4krgaryozFE/ET8IOa45iaq579wbGPzs9G1mor5JA+HNT1J1BgCSJK9A4J8wXItiL9iEF5rcpWlAQF4Ydho7C7Snu6S75+F/Q0svEg3r5uNn55IvB0Tz4nX2kPIs3eC4dAiI8e6OoVbAo7dkpPShhKUmKwMTQajb06zO+owuivDgLXjRBGRhVtrsEIywzoSWMBjeypMq7WNzkeuGucogx8eQIgtlPbDmwrBeg5b4nEIGBBCnD3OGBYcP+/tnULf6fd5cChasFYIehDRJPsoTrq5KmQAFPKTCOYdEUKMDkOCPNXtDbZ6CLIwP5K4HUJpKi+kzw98rfd4l1VG09MFZqXMmQGZAZkBmQGZAZkBi6IDMia3AVxmy76SUog5Rzf4kceeQSvvfYaTDxtCdZK+osl4AHMgX+7/fbb8eqrr8Lf3/2PaAmknJubKDftc5NneRVlGaB3+aMr3B9wpkLMiwvEwebzJcqagBuWKq9Bxvn14cu6HQg75UAOydmiQn1RkRmHsOJa+FD7yjpoij02Hl05CYgeHy5q1puKBSIFwOirx7JJY/FSSxQqOwYK1/zbzRFteHHHRoB69ipi+7cmYsKGQ/Bu6lTca9PkkXgnfLgNCEKPh4RA4ICK+jkPzvNwu7WqEOvj2ZHAf0+Iur2juCWyDc9vXq94vuaGlDmidJUbL4jWyAD8J2ccnisMxq0jjPjghDLq1PfCm/Gz4/sQUOdGoksDrJ8+Cvc3JJlJDlsbtiLwlAJ/CrvV9kT645GJc3FzRzmuWK8QyLMaoy0yAO+OHYMHV1shhwHewOXJ4oZY2BhkYeTXO0ZEQ33wwxmX4eM82xzl6XfD+/CAabziG+WlxfPz5+DVggGmw2+iq7F48+7B/jHcQKYmCIkv+ruQRcLCJb+uMLHHa4HaDmBcNLDfbi73jRPUMyXSYPQZIjtFKbuDi2XubhsFzHBzEr+iCdhbJZDC2jaY6HlEhlikP4yRBrRVd8Ev2g/eY6OAuKDBaSQNrKVLeCVxLyF6rQbssYyoVNqLQM2jk4X0mYxLJwNS2svze72zDHhbHVuRnlT4/iRAZ/sZ7/kkZE+ZAZkBmQGZAZkBmYGznQFZkzvbGZbjK8mABFKUZGmI2hAYeeyxx8yjcQOwACfWw1v+nf83IyMDK1asQFJSkssZSCBliG6Qm2Hkpn1u8iyv4j4Dde3A3Z8pL6azRvnWt4TcvrvgwXNKRvEarFPSh2N01NDXGn6+Dngn191sxN+fiqjFI1t2KGts1aoxPgSPJk/Ec0lNSO5ug7GnD0ZvPXRpofAeFmT2uuaBftZ5F2zaD7+9ZTD56PD61En4baXjU6rM5efe6nxD6hPDcX34JNwW0IgHd+6Cjn4MbqJytJBxeu+E3qalGo8T6460qrC2fmEdf2up63pwTmgPPji8Ad4sIisJNX4RANrDA/DKxBzUGAJUeebcGNaG77cUIv3YKYeAFu/7yuQUPNsQa7a+IIi0tXYzDETwVIYx3A+zky/D4rQe3PP1Zvg0dqgaYXXOSHztH4UXNloBUl5atN0wEo0nmuDlq0Nocyu8jg5mqFoutH3eWNxekQDahVjHrpDDiNpRpGo+bGxMDcWsoKkoa9eaJeJ+FV2D23fuhc4ZOEDa0h4raTJHV3QkW3V1mqB+NCgEDykjRq26ZoXPGx/q20a7Xv+6QmDrKeeyenyhx8WIDY8MIYJG81OAGBdSc6/uBA6rPP1OQIqygEqAIurx3epmXarvuuzwTWeAWwf3o3CD2YpncBCgfGWnMh8d6958Vn8y/dI1m2cu+BnF3LnzU7LkjRvffa69lWxuEMFU0jbJTON+xv/t7wWkhwOZ4YCvBD2/6fdLXl9mQGZAZkBm4NLIgKzJXRr3+XxfpQRSztEdog9KfHw82tvbzVekJ8pzzz2H6667DuHh4SguLsayZcvwyiuvoLy8/DTQwj6rV682gyrOQgIp5+Ymyk373ORZXsV9BpYdBX600n076xasaf716gHFIPverCPSS2PpUaFkYx2XJcEsJc76IskGQxFFDcDjXwMHFByof9vvJC7b78YbxcmkfjljFqpCgvA3q7Xnlfciv6gTe0pNqOnTY1OzH9Y07UBIYS1WTB2DhxqGuVzi1KAu/LlqP6JLnBe/LQN0hBrw66yJ+HedkFH6cVQ97s07DP9KJ/JUOg1yx6biWX0KUmK88IndsinLRXKA2iAD5Vid8IigbBcLee6Uz3iND/3zMHWvQpN1nvAlVUpFnJySho9T0rCuSIMj9cpPBlOK6oPUCowpr0BfjwkaLw28unrxVXwSflcTgZL2AfYGa9ibsA/xx+webAXzrE2LwkyfSZiTBNxRk48Zu44p6CWakNn0ZM5M+GpM+N2WDf2SUAIYO+ofjHKTN3b6h+NInx+u6a3F3NoyxOQPphr9/Or5eCd/8Iv325QGfG/1dsGUUBH5szPwrbpU3B7ahAVt1cg5mO+aYcUHhg8OpaychHFsDHT0eLCOCINgKLkAiQYNR9YG5bLcgS98Ea5LA4Jc+IesKQCW59nI9TldAIuhRFRZiI0yAPflCJ8SR/H5cWCFSpk3Ak1kHBgF89hpkIVy7zggK0rFHZVNz9cMFDcAn50ANp0CTtYDPUaAr8W0BIA+53OT7Wa+7RSwROEJA0vX72QB81LO1xSc3XmRGWpBpUqbgH/uBarF7yyXcfNI4DKFmqc0s1+R5/zLCs3FrkoDcuKcf8FyNx/5d5kBmQGZAZkBmQGZAUUZkDU5RWmSjc5yBiSQcpYTbBmeAMnjjz9uBkhiY2OxdetWJCYOlqNoa2vDE088YTaNt7BTIiMjzWDK6NGOTyhKIOXc3ES5aZ+bPF9MV2ntAr7OF4ehWT9jAYXS99HufbWdpoF1A7JR6P+sJngA87+3AjQbtw+a1T+9RhwedxXXpgO/nANQKmoo4lgN8KuNrq/LIviK4OPI2KGycNk/wd9Nn47X6kLx5SIg29SGmh1V8N91CobafmkoDVA6IhbhIXp4lzfhnoRJWF/v3q9jRnAn/rctD6lHSoTMkYOoTonEi9FZ+LBegCgT4wA/PWDq6sXlPXW4vKkK8TX18O41oiPYD8fiovEfbTSW1gWYa+MTY8XBdxqLM1gvorrSLvV4AKL9xQHagkbAnp3i6l7eG9mEX2zZ7HSNp/sS2UgKEdVCFWH00+N3l81Bfp8v1hYq75jp34N/V+9GeGm9SKqPHm3jYnFNexYKmwYkMy0jemJUz76fTx6NR5sSMT0BCOrrwTOnDiLxpBt2BjtqNfhwRg5+Wh2Np+Ia8EjFCYAvmj3ro//5+yQyGW82heLFgFOYt+PQgMSWtxa3zrwS28oGr8lbC+T67IPffuUPhCnUF0WTU+BbUI/Yk5Xu7yvXQkoPAZETzu9tx9REMziUdKIc4afqBm4k0dfVVgY9Sm4xgZu0MEEXsy6K8hkbGSm8ZC5LBLxcnAI/WClkxRoVsmE4L/qtUCKIQdOUx6YI43v7qGkBPjiiGCAy+emhofHKCau8OMoDbzER72ucH5xRkr6Lqs3eMuB4PwLBDwN+iJI1FCz8lc7neC8XeHmHIFk5Ci6HBxR+Oh2ItdgV0ZfnXwcE80FJUA7v/glAyPmfDyXLcduGn9u7K8ReWtUmQGRKJSYHiw/HYF9hCMb3mKwR+yA4SjMkfhhbSSs7vW5BPfDaHqCl2+3UcEs2MMceGXPfTbaQGZAZkBmQGZAZkBlQngFZk1OeK9ny7GVAAilnL7c2I99444347LPPzODIRx99BP5vV/Hmm2+Cfio9PT1mCbCwsDCzoXxOTs6gbhJIOTc3UW7a5ybPF8NVKKP/3iFgbdFg/9NhgQDlmfh7noef6VmcESEsE04XU1wkgbW4Be96lqVfzAbuHW/bl4e/v79ioH7obmSCKb+fN3TMFB4aZ521vFUwLSyH61m3ZV5oHfVw7UnMOgNGyr8bgrBlTAWilu13enq/298bny6YjJ8ctThNu8uEqN8vDm3CtV1VGFNZBU1bD3p8vZAXEY41QdF4pyUUNZ1CPom1GwJV1vUY1oXD/AA/nQkNXRozHjMlXuTD4mvNk8sWBgqfFfqa7LU7+O9+puI6zCmVhabGC1kvJcFrvhVQgBk7j7puzhP3+Q2Oi1duLrRh7lg8WpeACbHA+mL3s4r3NeLvujz0mDRYbYjCTmMAGvp0yAw04lCLHsUOgJQZoV3415FN8FIqG0VGiZ8eD42fg5V1vua6G4Go5vpuPN95AiMOFzsFIXoCfLB0whg8Wy1YBcuDTyBzR57rhXlpsXTaeDxdE4PXQ0owb9tB0T7SgCvT5+Jo3WAghX9+OK4ZPzm+HzoatbsJk68eGt58JUm2HosPjp8XwJPZjoKbWWMnOvQ6vDZuAuY2VmLcsWJgbDQwKQ74z2Flp8QtY48IA65LF/+LyB+RRPoYxAcA4+LcLVP8/cNDwAYFD5P1aME+wmneUsSm8/ykeNGCjJwdp8R8yMzhy0+tNT7zLsLk7wXTghRomXNXoA43A4JO10kQxZzOtQWC3UY2kz2LJz4Q4H5z+XAgYohQfWVPleJWSw4Az21URhYj2+3lK4TklznqO4D3D7qXj6NU3O1jzuxkhuIVfcMNC+sFEMlTBPyy4CiITHGj/laGeF/5HvNdpWQamV6U4SLjzcdWLtPpyho6gJe3A7UKGC4chFv0QxOB0Q5Oq3zD6ZOXlxmQGZAZkBmQGbhYMiBrchfLnbyw1yGBlHN0/4YPH26W7yIgUlurTPpkzZo1ZsCFLBWCKcHBwWbPlKlTp9rMWgIp5+Ymyk373OT5Qr/K0Rrg2XXi0KSrSAoSShAf9ysF0fuYdbu7xwJhLtRq9pYDNy71LEs/nAI8Ybt94I19wK83qhvvTwuBGzLV9XHUemMxcO/noh5p0MN8oJM1JB5CZ/3DcoD7V2FVuHvbbtUX7AgPwM3Dp+N+vxpcv3mf08J3S3gAXs4chyO+wW5ZOc4m8WZaNeJ6OrC4Osk8d+uzsPOGA5tLHPuI249H/+7pw3CanWEv5eWptFdGmAn1nRqQ0URGlBoFrgifPrzqU4iprmStHHlkKLxje6dm4saGVLCOzbo7Pcsd1a5Yp7oqogO3e9fine4IrKi1PYXN3BFocmbn8U5sKeasP6BwVsDa6aNwd50wFiIjZYxvB94r9jUfdL6jXxZrbFEp9NTn12tRGxuCDZHx+FgXic31Qorrpuh2vLRtg6KKap+XFn+eMsXMTPm6Y69gjBj0+M6kK7C70jGQwms8Ed+Ix04dgz7POePBFOaHsjnpaCxowaijJeKlUxpZEUB+PdDtRELMStKtPiEM9w+bhOem9mBUqi9Q0SIeti/zlBm0h/gKZkhps9kQvjc+EPpQP8FEIZijJOpbgX/sF54naoNA0/Z+VgrNoR6cCOwqFSioPSMn3E/Q8yhDRsMl6+DDyDlnhgnUmXNp7AJONdn6tfChZ3GXqPE015KCapdywbb/8oSgcnKzchV8Lm/MABJCnLfih0hrJ+CtFxsfTb/OcuwpB27/VCjFKY0HJgDPzLJqTTorN8IdpYPBOgKX3JDGxwoGxsUeZJeQgcJcWOiZrtbM9+musWfOWtpUDLx/SF12CR7fnyMM5mTIDMgMyAzIDMgMyAwMeQZkTW7IUyoH9CADEkjxIGmedAkKCjIDIjNmzMDGjcqrljt27ACBkqamJjOYEhAQgC+++AKzZ88+PQ0JpHhyR9T3kZu2+pxdaj1YM3zsK+XSS1SwGRUJrMgfyNRlycCLC4SCiaM4WAVc+4FnmX1qOvDIpIG+rd3A9R+qVmMys2f+ed2ZGdDT1P57n9jmitJVlLOy1DEtM80M7MWykq0IqHZ/6t46M+tysrA1NBLPVBwVRTkLusEiByWWihrR4++N342bjDdqg8269e7kzZxl/qWkGlS3avCHugibJskh4kAs2UdUSGJt1aI4wmnwwDXBI+tgHyoLkZ0TFyDqru29QG6VOlku6zF/FllrZgq0RAfh6fZERZ7X1v3Jmnk2th5TaiuRTjkzK1+O1uggVGTFIn29Zz42e6dm4MaGtNOXY32Up7P7+pgrE2JMXUjubsflrdUINHbjQa8snGgfXFTngWQypuhJ4CgMehOWoWo/YwAAIABJREFURhVh1PojbiWtdkzOxP0dKWjqFgWxe9O78cSO7dickYLv1yacvocjgoxI8OlFW58WR1v0aO5vzz5J/ka82X4IaccU0n9IwBg5DFdiDH4RWIHFO/aar/3jq67Arkot7gyowxW6JoQ1t0Hf3QsjNKjz9sF6QySa4kIwuaEGo2uq4Uc5mo4ewFuH3rggFMRF4jVdHA50+JlZNWNNLfhB/kGEl7tmU5zOIYu2zihMZAcQlLHSL/poTg4i9H2YU1sOjcUE6co0YHupa1ZGjD+QHCraWYKbwqhI9CYEQ0+QwxXKbOmzvxJ4fY9nm+SYKCDXSlZp8Wjhh+LCH8b8YhNQIdDDBFtAKtIPCb5YsyoIFLEtHyuahJNVYGG9eDbji6vXypPA5yfce8lYVs3C9Z3jAAJXlqhpBXaUCROo43UDGy69b8hKoL7lWWQN/HI98LZyvNY8az4qH38XiLKX/aSpCkGEpn6JugAfgHJeSlkVF/rTwXd5T5lggrnzTbJeK2k+t4zyfPV8h/+4FShx4mXmauSfTBfygzJkBmQGZAZkBmQGZAaGPAOyJjfkKZUDepABCaR4kDRPuvj4+KC3txdz5szB2rVrVQ2xf/9+LFy40MxkIZhiMBjMMmHz5s0zjyOBFFXp9Lix3LQ9Tt0l0/GVncAL29Qtl4XfL+xUf27NFvJZjiS8aQpPaS9XdT1nM3j1KuDaEQN/pazWPZ+rm6+lNf1WWMNCfTtAWSGeVqdpQ1yQ0JFyE2RoEEixD8qe8W/28Y/gYlyxU/npUKOvDu1XZiDgSCU01LOyl0tn4S05BBui43BHpTgJbn0Y3d387f/+t8Qq7G/3wWu1tqej6UfCOhjtQxo7gEM1tj1HRojaMFWT+N/kOFEjO15rq4bEg+us/bHWTMUiS916VBTA2myvceB5Ye35SM3AM0LVoK90B5F2qATtiSG4I3WGRz4rnBvnMc6rHTGd7QjS92F/kx5fdwVhil8nfktDdTde2o7yumnOGCzuvwf2f/+fiBo8tGWn+Z97An3wwKiZWOvAw4aKLnz8qOjCw//Oam4EKme3VmN+bRkST5TbzlcDlKXHYm1kPH7TEIUOowBRIv1M+Lp5F8ILaszMky+mjcGP6uLR5YLUkRXQg5f8SpC9Wbk5vfliWg1+MWMWDnT54MO8LfDt6kb13HQEVDbD0NgOFDY4zHFHTCBWpKXjf+pjMT+uG2k+Paju0WFltS9qrYA6gnSs9Sf0tuP5or0IqXTD2mDxmXS5/MbBty4uUJy8JnvEKnpGRsHreM3gYvjMfsZFaQtQ3DigX0c2E1kn3Nz4rjqKuEAYJ8dBRwCPLAPKZHEh9FJhYZyFS8p/MbaVAEv6pdHUvsh8oSzSXkQxvXVAkQpmy4QYAcQQfCI1yh0tgf4OlCLixnepB5kjr+5WzySy9qbYVy7YLK4K4NQrJE3w2qGXUatpA278EDilDvM33/lnZwoyg4z+DBBJ/9MOgMwv+9MV7pLE9+rJaQ6QKXcd+//OD+Pfb1bY2K6ZGiN7z64ge8kMyAzIDMgMyAxcshmQNblL9tafVwuXQMo5uh3R0dFmICQrKwuHDikvBlqmd+TIEcyfPx9VVVVmMMXX1xcff/wxrrzySgmknKN7KDftc5ToC/QyJDzcukw5G8WyTDJPJsXaslJYvv3MAlQ4yMf/bRcmtmqCDIcvbrNVAvngEPDUGjWjiLasna6a0YC0kkqA8hedVhVlegcQPRgXI06XO4nfbAJeFwfubYKHbXkIl7VW60j0M+KNriMYQVkid6HXoHthGrzdycPoNPjZzDl4r1LIvTgDcdxdLsrfhI9Nh/FaRCqWlAyASAQ0rkkTyiz2AIr9mARU6JVLNgWZQs6CdV3Waah2EhsgaraOrBc4XkwgsKUEWJjSh4DWDkxob8Tctmr8Imksluf3F53dLc7q7wThvrBie1yVOvDc8rav6t2HYceVG59z6D4fHV6cPwevnnQMvr3tdxKX9fvjbJswAre29XtnWM2L943AkwVcuipNkAgchZmRES18Zr4X2oSsjmYYTEZ0aHQ44ReEJQ1BaO+1lWW5O6MHi48dQdqJfqaEBjg5MhFrgqPxbkc4Stp1py81J7QTN4S1YbaxARFfe8bQ+TInG4+0JmOb3wFEBemgr2oVtCRXDwZnoAHWTxuF+xuTXCp3MV98Ln4UVY/HN7lAfllwZuM1hbapJKOCYKlZh69t4G98pOIC0RUZAJ/uXuceDwQoxsXAZPCChn4HpFq5WxuvQsCFvgXWyJDl6pThot4gjaaGipFCjb2tp1S8IQCIWl6VLrT5lKwJgCnIB5pFo4AxMequdbG1Xp0/oHWpZm05scC9EwQA9vHRwTJrjsbiK351GnDN0IIpG4qAOz5TM/mBtt8dCbywwLO+F2WvfRXAsqNAkI84jaA2rkkHrrE6OaKmP2US6Y/iSVw3QuwBMmQGZAZkBmQGZAZkBoY8A7ImN+QplQN6kAEJpHiQNE+6UNJr27Zt8PLyQmNjI/z83J/Ytr/OiRMnzCyU8vJyM5hClsuHH36Iv/3tb2Yjem4qRqMK3XNPFnIJ95Gb9iV88xUsnQbh9PvwJL6TJeoF1vGDKcCP7PxMLH+nvBcluew9eF1d+2czgQftTrtS/vtplUAKC/l/DivDVdsOuJ4AUYQ7xgrzVwfx6eom9JQ0w6/PiA6tDid8WcQONkugzx8ObHRg45Bu6MEfNQUYsz/fqal5V4gfemcnw3/5cbNTfX7GMKwLikK51hcmDRDc14MZnfWYcKIIpcOiMV879nTRmfVhMi6cHYp3lt9vZ/QhWGNEWZceKwsHivBjhdc4DlgpBbm6R5S0ouIYFWlcxcQYQQCyViBy1J4zuSkL2FkupMUIIhh0fVic2YvXDnsrrfOah2ZfSs9bG92TCUN5uoP96/vfsErcsU2dpFLB5BTMa8qCMzeED32PY+qBk2b07rnpM/BmTbDNUgmKVLTa1vMJ6lDZZWWB48ckhawM74F5u8o1MUGyewww4i+mPIw/YKXDB6A5NgTl4cHo1uhgMPUiqaYeXqTG0NyYskIexMZxGbi9Iw25KScRfJCshm7lsjYa4J3pE/HzWueGx5Z7WVBvwsq23YgucPCAkoVCQx76NPClsDCN+FARsbLSo2uLD8YXY0diQ28wjjZpzUBUkLcJ40N6sMDUgAVbcoEWO3SQZjgsfCvxPLDOoSu0M9IgNjlfrcceKW3z0+C/+qSZeQS+kJaHW819nJpgK0+moG/b1EScumo0MiMVNL5Ym7yxB9hTqX51fOF/PA1Ynme7QbkbiUDh3eMFo2mI4quTwINfejbYjZnA/y30rO9F2WvJAcBLJw5reMB0RE4McK+HFB8y/17Y6llav50FzE/xrK/sJTMgMyAzIDMgMyAz4DIDsiYnH5DzIQMSSDlHd+GRRx7B3//+dzPYsXz5crNUlydRUFBgBlNKSkrMYAqBmfDwcFRWVkogxZOEqugjN20VyboEm/I3/7PrPVs4D07Si9k6koOBdXc69yz990HgfxSqBBKYoO8K1XOsw5Oiz8tRFfj25r3KChukrtw/ARhrddL6cDWwq0xQd6yLI1QIGhGL1RHx+H1jtLkQTjCFUk3WQSDnlrAWLOyoxuSyMvi0dJqLnlVRIdgdHYvG4ZG4ZedeFGr88FZEKv5TF2Bt53F6qLlhnbg2pB1PFoTZjE/pp3VFyu8ja3isw3Fe9H2hJYRF8ol5X213mN/dyK7qxKz70ceFB913V7gbSfydde/bRgkfHObSl2CKHkgMBt5VoX7EtZCYYF/PooIRLSAopZVs6MXbrQcxPE8ZK6Uz2A//mDYJLxYGOl3Mv/xOYu7+4+gL98Os5MtQ2mrLFiHQsckBSYnEABIKKHVPhSVrb3XmkYeGWSsn2GLvUcPJECCinQIPRVtkwpL8evFW2yGk5vWbkTuaNYvvTAjZE2oRuf7x1ozLxK+0w7G6fjt8fHXCrF1FVKZFY4FvDpp7nBseEyPZcgr4XUINFq0R0mnmoJE1Hw6CQUSoKKPlooi5fv54/LErFgeqHV+LW8D8RCMe1lfgcJ8/Gk16aGDCLT2ViFxrt+kpWSORMyLJzpC3EeHCCOqTo0IDT0V0hhrwQPYMRAdqcIdPLUbTS8cR3cvdmJwD86YiTME++Ouc6Zg7wYDsfgBWRfeLo+lfdw3Iqqld0b3jxIbmSm/P0Zh8Eb43Ru3VnLYn02uRA8lKJRe4jZKe85W0vETa/G2X0K10tMErSQH3igcnKmk5uA0/ZH+zEWjqUt+f+w8lAmXIDMgMyAzIDMgMyAwMeQZkTW7IUyoH9CADEkjxIGmedCFz5LbbbjODHYsWLcKSJUs8Gcbc59SpU7j88stBUIVgCse0/F/JSPE4rW47yk3bbYou6QZDDaTwEPi2e8TJeUdBw/KlR4Bn19kWie3bXp8BPDtL+BvbB1VyrnlfqAYpickh3VhyfDN8afahNHhK/KkZooK/sUhM2tXpUg2wdUoWHmgdjpFRGjNAYe8XQtuGERFAgBdQ2dCL9j4tStu05mL5JxmV0ObX4xHdCBR3WBkQO5ivpZhs/ScqFmWGO/fWtm7LQjyl9gkwTIwV2NCUeNGXcyRwpZaUkBYqbBVYw7ZEQqBQSaNaEokO69XVh8G6LuvB1ipMEX7A5HhguRMJLOt1EtxhLb+23fFN598J1FS2AlODuvBC/SEk5rs+Wd4RasBn08bhqXzH8m/EIyh1ZjB2I6StA6FaI1abwrCldOB5J0OGz3C1k3lxtgRUJsQKX29GS5cAogiuTBsm+vOeU5qPQThAqwVONTm2avhhZB2e2OxY8qUjKRR+XT0iEdSoo3eQ2sIugHenTEBMiBbzdxwSJtocT2W8MHM6XqlxLq1n8QO6MsWE17QngF4ToNeIa7X1mtlcfE01pL3pNMKAp6LFprC4bv54/LQuFtXtzgEby7SzI0zo7tOcxpY26nORdFilbBYHY2GVRkHHXAAVj05Ch9EE3w8OQaPCoLp8egp+rUnGV7V+uGZYN17dvE5QxNQGDeTpAaOGMghg/2XZeFGfjLevFyDfJRcsnHvCAGKiLk8G1qpAwC3J5Ub92BQg3DAk6SZ57KaPBItNbTw/78z80dVe77xvbwFSaJrmESOlX/LN04WuyAM+t9KyVDIOEfgfTxcnK2TIDMgMyAzIDMgMyAwMeQZkTW7IUyoH9CADEkjxIGmedKE/SkxMzGl/k+LiYkRERHgylLlPRUWF2TPl6NGjEkjxOIvqOspNW12+LrXWQy3tReBj691C2cJVsIBN0/h/Hx6QEeeJ+1tHAVekAFTQoXm5s3hlJ/CCC5sE637Ph5Thlh371d/a+yaI6vc7BxT3XTVjDO6rFebULJiH+opaLr1eqDbkCKAgiPFr72L8oDoOx9q83F6LbIptpYNrNKytjYoWPhLO6uBsMz4W4H1nDY6gTkGjKP4TBEkNFSf+PQlrgIfe1QRWuF6CArQDUOu7yzk4YroQrJudKLzCDd4DMlgsixNY4GFc+onvq3R/MJ+eLGEGgBibsb0H39dXYFZ5KUJKG2xS0BPkg7zsJCwPisVfivrRDasWk2OB1DCRS/rAWNfPWFzm+skCYm75bBO0chVkRCxIATYW26pI0V+GElcnbafn9naF+5qwsmknIopsWSKlw6Pxh7iRuEVfh+SaOnRpdfCL8kPMtnxoVchXkRWxaMRM/EWXj/jaRtXMBssCVk3Iwn1tzuVlyGzis395sgn/3LgSOr6fpEKUNQN1ToBSslUIjO6vRENqJBZFT8KRWvcgimVOZJlZaqI7THsRdVwhrcr6rrBAyZPmRC2dhGlmIn4YNhq/0xfC96s8aOxpbY768YWtbUdflxEHM5KwPioOP9i507MT6R4wUjilEzNGYEFtOl65SjCmLrl4a596kzEmiR8OySFio/IkuAkSXSUANj1RgJdnEC9sAV7ZrW6AkZHARzc5PzihbrSLpPWb+4CTdQCN5NRu1EzBt0YAV56BVwn3wj9sGUDZlaR10WjxYStDZkBmQGZAZkBmQGbgrGRA1uTOSlrloCozIIEUlQk7k+ZkkaxfL7R/nnzySTz//PNnMpzZvJ5gSm5urnkc6ZFyRul021lu2m5TdEk3OBOzeRaH6YtuHTdmAP93pfKU8iQs65/GPiDQR9QelERJE3D/564PeHMc1i83GPchTqWZuHkOpD5Q6kaFTE6vvzfuHTML6+t9Ty+DABE97Hc4UVZicXi+TzP+Nz9IydIR4A2QAUJgxj5YtCeIQRCKTAz+x39jAZ75JQjx3/7DqjyEyqAPCYOATpA3sEqlrJdlDha2wLhocd3SfsYQgQNKh1nLVClaKACCRvagAwEJztXYZ8KWUg3IcrIEc83bRjIC65PNXcoOBU+IFuyn9l4gJ9KInM4G+LZ0wmQ0oUHrhSPBYfi/Q45pVvR+5hy+snsX7NfIOREcYX2c8m+ugu3WF2GQvJsjNpLSXP45shzXb95n1t0rzEzAmuAYbDWEm8GT2nYTjlmBCwvCOnG9sRqzykoRUuYetdmUk4m/6+PxgvEk4pr7pbWUTsyq3ZaxI7Co03kR0fI8EGztaurC074VGLnusPub7KVF77wUvByahlf2qjt1zWeKMnjEQLbp9yPusAuJNGdr5ks7PBg46OLIf6A3rh55OQ436nAkuxCGnaXQEC10FEQnMyIEe8hK46070AetKREIO+DBHC3ybirv25GZGbiqJg1q936Vlzl/mxO5pmalWvYBN0yizZ6yWayBLzLJuDkQUPEwTtQKw3lrVqG7oZ6aLhTpZPRnoL5dSHqVNwN+3gJVVxM0qP/J9DNnGu0uA97ar+yZpJbkd7MlG0XNfZJtZQZkBmQGZAZkBlRmQNbkVCZMNj8rGZBAyllJq+NBt2/fji1btpj/6O/vj4ceeuiMr07j+meeeQbt7ULb5K233jrjMeUAjjMgN+1v9skoahSS9yxO9PUJ2ST+bh0TJZgK50P8ZSfwokJ2h2W+jvxR+Ld/XgssSD03q6IMyQ+/dg2mmBkyZRvhVaVQB8xq6r3DgrArLg7xTS1IPFHu1CjefrWfTh6DHzQJVgqDRfG1hc4Vc24fBeRWGHGgTnmB15UnieW6PPAc7icM3mvaBOuErBAL8EBf7uGhQK4VIHNlqntAwNndJSBE8ILPNo3iLWFhEXjyVNj3JRCUEyfy6SoIoN2QIYgKlLwioEIwx1mQwcIiPQE6ymdZ1I34/JBZxDrlsqOi7mkdPBROGbsVCqTG2I+v/K3ZwPuHnc+FJAOSQVgjt48zyeWiTCN0de1o1Oixss7PXHdlDZce7M5iZEAPXujOw6iDzhNeOSwCf0wZhUd6TqGvqw8pLc0eM1LWjs/E3e3ONxCLt8w9Y/twWUMlZq/Zr/i9hI8OS+dNxpP5tv5CSp5LAje8J0+25mPctmNKuti24UNE3TUidc7CS4s7Js/DhloB2D2a3o7v6yvRUNyG2JpGaIlEko5ElLTHCBQ2Oly7cVQUdIeq1c2RaCsfcrX+OBpgzRU5uKcoBpTyW3cH4H1mxAh18z5fWv9puzo9RKKqd4w1s6Q8YqSQskYmCqmdliBYR0rQrCSPs0Lf+2fWOfZfsh908WjgubmXqJybowyvzhfUNYtmI3UZ+Z46Y8o5GoNmZzdne3z/bDruLRcAn7M9hx9GNJe/Kk1ImMqQGZAZkBmQGZAZkBk4axmQNbmzllo5sIoMSCBFRbJk00s7A3LT/mbuf3498K9c4INDg2WW+PuVv13vGgtMSfhm5md9VWIMj35lW/x2NSsyGbIjBxfcKZP00c3nVuaDtUnKgdOv194zhbXLe8YBt3y8ARoP/Bo64oIxI2qmWT1lUVgzFnZUYWruSWh6nDlGi6xVjYjBLH2OWV6LEvh73UhM/XAy8LKVb7aSJ4L3gIdXDyvUtKdFw4gw23sc7GXC7YkdeCV/gAZ0JowH9mVQesmaJXImxX/rvqwd0ttlVYGSDAlWCutSqwtFrshi2VsxuK7FZ5nhKpesM9+SDXx1UvQnQJUcDIyOFvY59gCLqxnGBwqZL2eqL65AsjPJ5bXpInd8LucmiWdBiXpUnJ8R/xNTj4r6PnRptTCYjBjb3YwJJ4pQER2GDRkpmHOsAAmFVdgzOxs5BacEi4svjsp4c+pEPNcQ7bAX95eqNt5XEz6IKEBqUbXqwv++nHTc0Kpef4qAGVlEd0Y149dbNisHbywrmZoAbHej5xbojatGXo4jjQOA6k+mAUHHKnDHgVxxYpw3zM3+Q9pZb7Af9CWNyrNPlLWpU2jTqYje9HBM95+Mqg6tmc225g7HvlYqhrwwm7KA/tkx5RvB7CShY/nlCeDLPPVrTg8TQJrFJMkyAjcmfugNVw8WWoag7OPf9zhXK6M85G2jgEcnXaKgmaO79fVJ4IsTg09L8EsIv5go2Qv5QXTHGCBwgM2q/sGw68F3mqAqmTE8JcATAjyNwNM8NJYfFnzGl5ADyAzIDMgMyAzIDMgMuM+ArMm5z5FscfYzIIGUs59jeYWLJANy0z73N/JwNfD9FaLO4Sp8dcCrV4tDgd900JT7mbXAbjfy/0lBghHwsd2hbP42p9kwDbK/iaDHxY5yYcLNIJOAEk88pIt/7PHo1G95Zhxmacbb1Kqeia7DPbv3Qt/uvEjcEx2AP1w2B+WtYj4EFfSsgXaLadgrwDwyEfirSm16rpGFZYO2D7urXTs8h/kKaSJrs3dfnQn/CihATEsrrtCMPe2pQoCGgEVxk7q7yH6UeqPHNT1KOAb/f6oOEXDIbwBKnKgUubqSNbAzMU7UhNT4aNOCgLJxFvkyghQcw6LWxnokQ+lBfIKfrE0drRMsH8qYrfHAK5oy+BaJNev1U7GJNW1rRo/135mPraeUKbbY55VeH5x7Y5d4JllXUxpcJ2vsZPZYYnZsL26I78a3dx2Ahgk0ASuum4IrV++BJikE4KaiIlqjAvGdxOk41jKY0sDnaS59uQuB+0Z04efH9gIFDaqN0Xv8vXH36NnY1OCjYmaARbaOMl9faXKRosZwnpXnYF+3D9nJUUm40jjKBif5SU4vbtiTiwS1vizpYTDWd5oZSG6DHjLB3kCIn2qDpLw5mZhfKRhE0f7AhjuEotElGesKgZX5rv1peIqCLzE3gABfgFJQr+wC1AL9mRHO3y+i9zedGauB+AxBY75vBI5JrAjwEWzD6zNk/d3m+d5VBrx30Ll2JSXYOnoGPoTsXw5u+vyycu0IsU+cjeCGzw9O0qLJaHNnYnc25iDHlBmQGZAZkBmQGbiEMyBrcpfwzT+Pli6BlPPoZsipnN8ZkJv2ub0/rIfc+al77w7LrAx64L1vf3MAhHV2KOv970PA2qLBp/OHBQLj+gvl9owAFqtfWgCw0H1exrZTwBLhyaQmlk4Zhycb4wd1+WV0De7ZsstpEbcrJhAzY2efVviwDEBVHvqFEGCzBioeGA+8vk/NzAbaPpLdjdwWbxQ1DHiSWP4aoDfhO8k98Arwwj/32+rI/Tq8Cndu3W1GPP4ycxperAo9PagS2TD72bJITwk76+AJdYJuPERPGTEyQ9QEvZN5aHZ3uTCsvymlB++fVC9BYpGDslybdUY+4wwL00DpvMhMmdxvFs818dn3xOJgXrJjAIYAYICXc2IAgUGCP2r9qZOCBfhCNgzXQBl/teHsuXg2rh731pyE1mhCRVo0YvOrgF4TQFqeRSNNwcVWT87GvU3Jg1oSRKG01ppCYG68ES8c34FQP63H8mGvTp2M5xv6aUgK5sUmFm+WibHA9ZHtuGnzHhgqFCCDpB5xY1SQ8H/MmIz/V2s7r6Xj6zD5w+0eIWc1V2Uh8liFc0SfWwLdwmMMQHIYEB8EfHQYOKIMAOsYFY2b/cbiYLN4J/lMv3m9woRerM32lwsfHHprWUs6cQNjrqnbN99Ouu6/x9TpKRL44qZq5Y1jk05uSo9POWPz+Yv1Fg35ut7a55y+c/rD2BvgfTOZhEZgL2X6vPtPfMQB6RFDPi054DnMQHEjQNCaer00+pNMn3OYfHkpmQGZgQs2AwT3D9UA1Oru6hV7KCUUeDKP30kvspA1uYvshl6gy5FAygV64+S0z30G5KZ9bnNOiSkyO9TE7WOA/3eZmh5nty0N4GkiT7Nwfscho4E1gC/yxH+UBmIxlvJAPFhLlRJ6v5y30dIF/L+NQItyqSGaNt+ZPQtbHZxc59qX6w4h45AdctCfgNLMOMzVjHeqwEN2CE/20z+H8dAEYMlB5aow1nmekwhsKBH2BvT5IPsi2dCLtN42pPa2o0Lvg4KQMPzTCqgx6E1Y1b0PCXmCftQRasBvs3PwTo340soDtBYLBiX3NDFYWDccdVJ/pXcClUQ+Oz5Y5s7V+Dy4TZmwx8LrcWNXJX6sT8eeBvVAir1cWUqIODzMA/j0UGnoVLLKgTYWQIH1Sh7yVXuYnCPlxJoQ4qsxgwPWERsgFJxcMYI8AbrYhwenySwhoOKM8eIqE66u+9ekSszoaoAxyh++vUb47ykFwgzAAQcULAcXKcqIx73+o3CyzZaNQiCNhI59lSZcn9iLJ3J3I7S4XjykLFZ7EG9NzsGvmmJU9bxvvJAVI6hHv6vrQtvwbOVhxBS50NajzBKL5/0gSmdkAArGJKNZq0dQXy/Scgvg3W9QY8oIx53xk7ChzNYnaUN2GZI/3q9qrpbGNTNSEHldkqDqFTYB1a1ApxEgeh8XBPBFGBUtfrQSrWJUtMD46XHoDrowFOKeMS4WjxmysKpuYON/bg5w1ziVU915CjhWD1S1iv3ZWyueG37gTIwG4kJUDnieNK9sAQ5VCX8K0hG5Hm78jqK3F1h6VBHYZqb9kFHgjk5GmiPvrSdhYS+w6E80W+ea8ejJJS6aPjzBQEaREo1Ey6JJa+M9vDkLyBl8UOOiyc2UYcW7AAAgAElEQVTFvpCObmE6l1cnTh5ZJBf5znDfJ2uMTCN+oMuQGZAZkBmQGbDNwPZTQnbyeN3gw0I8hMTvTKSik+F+kYSsyV0kN/ICX4YEUi7wGyinf+4yIDftc5drFlVv+QjY77oGNWhC/J319feEd6zSYKGbMlzri0Qhl64d4b4Ai508PW04S/IqPATLA5WsBYT5DdTflM77XLcjsEBJoojcUoT+54Diyy+fMRYP1zo3sHk6vAYPb3VsbPL+1PF4usE1PYcMDko08bc3f2ZfkabcsNyyiMRglsQ1p2tqrIuyPkq1GOtD5fx3DUzIbxTF0gcim/AMfR6sNMY6g/2wbNRIvNMVYZZWmhAjAAZ38nQEUVjodisJFyyYHB8dVXa4nuNSLu5OTSW+s20fOqMCMS1i5mlJLsU3EoIFRG8Ua3IE3xMGrQ3UBg+c8j+qtRCQYWFdbZDZkB0hfFK2WFln8LcD6y+uGCdkraSF9GFrmbICJ8fr7hU+MTzw1dTt2Mje3RqYR87L2pbh1qQuXNtbi1FFZQgtrBE3V6dBc1Y0/AK9zEwiM/pA9NVRaIDjo5NxLC0eXdUdOBwUhmp4w6QRLKb2LhMS9D24vuEURm45LjY6xhkAKX+bMgm/b4xyt1zz34kv3DxS2B/Y++Ak+BnxPUM95jVXIaOwXGyM3jqUDYsEMsIQ2NyGoI1FKJwwHJ/FJGFdiwH7qweYYROiTZgb0I5vtZZj+NwYPJ8fiK/z+hCk60NFlw7VbRrkDT8G3Vf5iuZq36hn2jB4EaW3jp4ewMsNGNnRjfx1lYgvqYHv0eqBAqG3Dp3Z0aiLCcGOdl80dmhQ5e2L95uCERMIfDSrBUFGkQNE9hf8nc28oA7YfArYU+Hc84WoIhHYeeeB9qVHd0BFJ4IpX54EDlQ5Rmb5gcsvCETg7c3AHF2GiBaLuGqith0ggMbCBr9U8F22aGRS0ysqQM1ol0ZbeqPwhIAnMZTG8p5cX/bxPAMVLcCnx9zTUfmhydNG4f6eX0v2lBmQGZAZuNgyQCnUT44N9nmzX2dMgDBlSw+/KDIga3IXxW284BchgZQL/hbKBZyrDMhN+1xlWhQZb/jQs+v9YZ7wnlUSrHO8vB3Y6sS7mN4ZP5gCXJmmZLSLsw29SQgyscaxrpiHsE34R1ARZm4/4rqSrwHWTx2FB5sS0Wm0lcOyzlSiwYivKrbCv9JK3mdYELrD/fH3mBFYVe+D3CbnBUvWGglW8EAj45Ec4G97lIEMlnlYy1KNjRaHYp15fVi3fSnwFG7a7VjqrC0qEFuTEnFEFwBNiDeqNL7YWK1HSatt0T7O34TUcI1ZzUKhEpDZ+J31wHVFrpkplK6ihNUVxjo8smOnudDaHh+M6REzVbNHmCsCOAR6eNDaEjRtZ5Dx4knQMyO3GqCXsFqZLV6PUlUEqk41AtlRAuThXIg3uGOc3B/RhLvrC/HnkFR8UB/ocvrcCxi8RxyXB/8JhlqrDildPw+HnawfOHz9Sno9Fmw5AN8G5z4cHQnB6MqOQUhJnTCmIQPD2AdToA8qsxOwPiwaa4whKGvR4G5NBb5bVSQeYtK+iCqRpeDID4KJJyPF3nDI3WK8tHh+3hy8Wmhw19L89+tHAMtPuvZ351THhPQiwceItCgtNlR7ge9jbkEXFqf24A95/qhodb6XxAea8KPsLlx38Ch88uvMF+v298b+hDhMStFDw03M3lRcyeznDQe+M1JJy0Ft9lUAP10NLApvRryxEyE6IyK1vYjaXgB/Mlusojo1CrphgQjfVzrgDxIXAMxIFNp8BFWso7QB+CxvsH6ko5nydPfVaYPlsDxa1QXQqaEN2FYm0FmeliCDiGgeEVBSGJU+7w/nAKMVsq64MW4pAT464vxB50POgvDc4eLdlCEy8Plx9ScgLLmbOQxYZAd0Osnr8dIe5JX2oLe3D/56YESgEUm6bgGueQ/2lJK35yxmgIZ8lIp1RsG1vzS/6H1v9CVsHnUW74UcWmZAZuDcZIDKDrlVQGu/sgNPk42N8ez7wI5S4Sum9HstGb0PTrgoAGlZkzs3j6u8iusMSCBFPiEyAwozIDdthYkagmYbi4HbP/VsoGdnAvfnuO+7qRh44AuhGOIqWHt5YT5wk2d1NPcTOY9bsNj701XAnkrbSbKI/9OwGsyvK0Py8XLbyrpWg8LMBKwKjcULDZFmpoG72Krdj/jCKmGUwaBONk+lA+gK8cPulESsNETh3/VBDsez9u6gCtCVqcB7h9xdVfydRW2CRTRRZ52ZdTZX7BELw4N+Hq/6F+HavYeVXQhA4/BwfJmRgWMaA9p1ejNTZG+NFvuqnBeHHQ1OZgy/N1OCjGo3tNCwsDk4EsEJ/jvXVNNqwuruvYjL67+J/l64Zcxl2F5/5tJenNusYYDBC/i6QHEabBoSiCHw4Q70cDb6d0cCy44CUxNEnZRjjYsRykYJwcDyvIHfK9Zj3BXRhP85uBu+zZ0gi2hj+nAs94nGZ3UGG6BocWoXsnSdqPHywY4mX7R3iz2DZvMKfM8dTtuyZv7xz+n1uHbVTuicMU2sRmgL98cX08aagRESFvJaddjd4o3choECIJ//ybF9eBbFSFhxxPb6jtgnLLDzpJpFH0/hbTw8Jhm/DM+mgpVZutBVENDrpEe0m3bWY7DPhGggLVz4t//roDK8IMTXhBdjqrHg6922U/LSwjgyEjoyFVSEyU8PzfcnASlhKnr1N+Wij9aiM7cGvdVtZsact68WOhbxuelQ48zhCx4K8Md2v1yZuQk1/+4ZD2RZeb+8f1CZjJXlGqRSLcoGxsSqX8uF2uOL44JKeUyZX43NMmmE9NhkIEihcfnaAkEVVBLXpANXpZ//VFQlaxmKNmfCSCEt9RbXp2c25nZgV4kJn1T44FT7gERUWqAR10d2YLZ/G8a1NQKTYoGYi09Pfihu0ZCP8fER9YZv16YDV48Y8qnIAWUGZAZkBs5qBk41AQQ++OPR+rsdL0pNacoY8ocQf1gojVd2KD+BZxnzuhHiu8cFHrImd4HfwItk+hJIuUhupFzG2c+A3LTPfo4tV9heCtyyzLPrKdGXP1kH3LzMuces/ZV5cHTJDUId5VIJSscTaHJ1WJCAym1hzcjsbMHIECOONelw2DcIH9QFOlUgcpS/7UGHEdvcIvRdnYVWgy2TMvF4RzJqu2xP8vKgIqW1LbVonn6nXBr9Ulwd1KEsFNkM+Q3iovZm6s6mYmF6LG5zzkix73t4VDJeDkrFqrqBL8kW421PnqlbRgr/D/oJxvgLT9bqNrM1g5mAUNQEHKsDHo5sxNNbtticwH53ygQ806i8mJoWCoQbBGtkbaFt4ZyG85Tic8bqcrU2M+jTD6TwwH1psyBbKI3UEGEDsascGB8jLCrI0rEEx5+fAqyyA3mi/fqwomEXwovtiqteWpwYkYBaLx/UR4cit8+Aj6v8UGP1vJGZwlxQvYcHyRR4nw9ajgU0uiKuB38+tBV+Nco1zaqy4zFXM86tlcBliX34bcl+xB0X/j3mcCbjxR9wNKhUGloN/jR9Cv5YE27Ou04jlKUcHfLnHvGdLODfCoFN6yksTAFKmsUeRH+g5FDA1Ceuw8P/fPYZfP72W1nIjI404cOCzfAvtzOx5wZOHUAVsWdcGtaPzsCPp6noxKb0tCEDxpnxT6gvQFT2ULWtVp7lMjwhz4eMElSWoL7b9yeL+5hXA7ydq96YiJvcbaNVLuYCbU75tVd2Cy05nv60zqWSJZF+eKvCXB2rAf6yUznThdd/MEecRJUh/DH+ukud+Rfzxj3g9rHig8RJfLSlHb/Y74e2XucHFsK9+/DbzGYsXLsXmpsJNnroiyPvpbIM0BflTzvEBq8mMsOBx6eq6SHbygzIDMgMfLMZOFwNLD0ifqS5Cv7IoqRGtAL5T3rH/W23uu8cvHZqKPCDqZ4xYL7ZLNpcXdbkzqObcQlPRQIpl/DNl0tXlwG5aavL15m05sGNeUvU/6bmNd/6FnD5cNdXf3UX8PxWdTNk4fr5Ber6XMitf7MJeH2v8hWwmDolXn1BfXpULx6MbUZpv9pKlKYHc/Yfh2+V4+Pr2ydl4K62VHRYyYWx0N/UJWTob80GrkoTKjhkI6wuADadGvj+ygP4ObHiIDDBF8ozMbIixCEh1i6VBK/1g7gmLP7S1iPFUd8DY1PxgCkdlV22ZqnWzAQl17RuY9+XBWv+G71iWBMnSERA5bvl+Zi195jN8BXpMZjvPQGtLgpL7JsTJ+pUxLdq2kTOyAxn/ZdqOQQwLOCiJ4ACi/BUn7Iw3Mkk+jpf2e8C1pQXjwbe6rfrIdjJNVsk3iwLJrhCY/j1xQMpeDK8Do9t3e4w5SYvLZZNG4+namJcgnBkA/FQ+Rv7bAlZ7u5jkDcwPFRYOLyRWIn5q/a462L7dw3wmxkz8XpNsNt+96R14Zc7twA1HeJHE9EqIg72wZeC6CBPyimIhlkpmFSbddoTmPJxZAHxWWnrZ+zQl4XD0mebQRsPtTGjH7jeYtWXzzml7TYUnyatmeXrKAHGa1kAvRdS6/Hd5dtsL0l0lTeO4IWCaI4MxE9TcrC2xR9/vAK4VulB6N1lwNsH3D8YTBgL6ZR5sNbLs8zNkRQbWRJPTgc+PyFQTbUxLAh4aDwQquCHutqxz7f2GwqB//RLUGZHKqM0WdbAB/ju8YKm6CT6eoxo314Bv5M10LZ2Q6NUosgyHj+IyDKyIILnW/7O9Xz+uVeYcKkJ7luPTwZ0jo3IP97Sjp/uNZzeq1wNbdCZ8OesBixYtRe4YwwwUpn/k5rpyrb9GeC7+aEdY1JJcrhn8r2c6No7T8lQso3MgMyAzMBZz0BhA/DWPqC2/8emuwvyO8ddY90zYZceEnrbngQ1yzOcf7fxZMhz3UfW5M51xuX1HGVAAinyuZAZUJgBuWkrTNQQNXtuA/DmfnWDsVay7GbAz4VqEWWZr35fmc+s9dVZh1y+SJzKP9NgEZp+EGXN4jAymbysqbDOdz4EmQHzlwwUKpXOSY08U2YYMCqaDAoTtpbSwn0gxkWZMCewHTcV5yHxsDA/MQX5oDXEAI0JWJqegV+VDdwI+pD+eKoo5trf+xO1wN/3iOI/i+yU7trvoG7Joq11wVbJmlko3oR9iDpc7rR5TWIEbgnPQX77YP11SnDZF/6VXJdt7PsSyOIzxPXTt4MeHjot8C6OIn2PHSVDA3w4Mwc/rXZ8Gpq1ZtanCI44qu/y+ixoL0wVhfNdFYKZrlI1aZCcl6VIvrrQNZPIV2/CveM0ZkyAnuksoNPXhs+QIyyANVHWXQiSsYa+3OcIRuY6KEJrgE9mTsAT1crYOlEG4PIU4AMVbAvabawpFOyZVT37EHXE+bPj7FnYMT4d3213X9Un2PTfjHKMLCgTLzM3MWfF3gBv9E6Kg35ziXN/Bz7wmRHoLWrEXZkzsanBZ9AUeQ/5DBIcIxuMdX8CcJSZUxs8FB7mawuCWcYg6EamEfdPSxD8o8oPwbhrko14ddVX4gGxiop56Wiu6UFGrhV1ycHEGqOD8PuUsXi/Xsj83JQJvLRQwQoKGoD/265cs5rJ4YeKo/uSFiZkDomOWsdDOcCOMs9MhTjOveOAHJUG6gqWft41eS93YFPnhyu1FF3pNloWYNncrnQuf9FwqA4hG/KhIWqdGiak8ZTqlFuuw6LwUzPFh5MMYGsJ8P4hxwwtZ/lxIVOSX96Nu5frUNzmGGRxNOTYkB4sactFcG+PZD6czWdy6WFb+qiaa9Hr6doMNT1kW5kBmQGZgW8mA9bfQ5TO4MZMYEGq69ZLDnhuTnnPOGDihf0dUNbklD5Mst3ZzIAEUs5mduXYF1UG5KZ9bm/ntlPArR+ru+av5wJ3jnXdh8out6kc1zLii/MBqj54Giw603D546ODmRuUZ1o8Rpxyp6rLuQjKQK0tEmbylImicTuli8gq/vNO9TNgYTnUz7VCF0edEic8PNwBF2Mj+/BkSA0oxfapKRyFbXrzsfcRgb3wM+jNRXwCUg9PBJ6a4Xi+rMscrxWHvoubTKjtcCzv4Sk75K/J1bhm5S6nNIqlk8fhySbHX1g9AW+4StZeCaRYTt9HGoQSCWvg9lYbH3sfQ87B/EHJ6fPR4Z0pOfhVVaQNiEW5KoIoSs3jb8wQDJj4IMESsC5su3qCeA3Wh+2tOQgITRsmwBHeWwIklgjyMWFBMi09NGZPlpP9kmz8e7S/YKQQRHIGThG8IGvqT5TTKrHq3H+BU5nxWKAbZ7HnUfQC8Lkx9gE7FeAhlHKj71B1O7Ag0Yh/7linXm4IQEVWHKb2jVc0v5+FV+NBbZV4OHhz+fjb6zPTv+fKEXjdLxHTuxowvfgUtPTwoBEMT8tThoq0D4Ix/TfsvWtm4JmTIW49u5PIXuoDylX4o1gWxr2IoB6BNfsgJjQ5bvA+yho436uadhO+OLR2kPTVX66egyVlBjxsqMFlDRVIPmHr8dQUG4It8Ql4TxuNzU0DMnz0fH/7W0CGlUWJwxvw0WGxqaoJSnXxwbBHLfmiU4aBtC3rIA2srQs4oIxZM2gqi0YBM5PUzPDCbPvOAYA6oZbg88/NkhQ7ZwgxTYboGUStxG85LtY2Hq1H8CeHoeGJAwY3M/t7pDRjd40DJl/YBQ2lS1XU7vNjwFcKaYl8D27LdspGWbKmDc8e8ld0WetGr2TW47r/bgMenCglvlRnT2EHnj6gGaInQRT9W5me9JR9ZAZkBmQGzl0GqluBF7c5Nmp0NQserqE/m9ZWxtqmy7u5qqVqT/d/IEecPLyAQ9bkLuCbdxFNXQIpF9HNvNSW0tLSgpdeegnLli1DYWEhdDodRowYgVtvvRWPPfYYvL29hzQlctMe0nS6HYyFVEpwvWCnzuKs4zVpwO/nA/TTdRWUerr3c7eXd9hACVDjbOS6duB/NwKfHHd9bSqv/PlKYIKyQ/EeLYQG8P8+KL7ftXQPHsJTUIEjzRzmWsaHTJQwf/ff/1i7JcOCrAhnPtz0XyYL5oEJzpUe7vjEhJkdtbi5owLv+MWbfR0chadrpoz+A61FmLXN1nS+IzwAJ1NisCQqFcUderM0Lj2PrYO+D146ZYekrfuRXUHJXda1CQ5QsYl1ckfx98AiXLXbdm6n2+m12Do2HSsM0fiw39dmbpJjBoCzB411+e+NFobvc5OBlfnuwRQW13l/yQxyNS7fgTERRuh7jAjTGZGl68AvCkJQ0ur8xwVJE1yDM1YLAZfNpRvgzR84dvH2tBz8sl7djwsCP2Tm8F4QrCOQYx9kZZBFz79bpONuS+3B79euFQYfKqM2PRpT9RMVydVMDuvB0pZ9AE2PmrtFYfBglS3wNz0Bb3rHY6UuwgygLQ5vxk2maoyuqoae8yOg0taD3kAfrJ+SjT1ewThu9EOYQYOlbry1KWWWEmrC/irn/gTOls93kvl1JgvmzNOIv0GDvU1YmrdpEPXwR1cswLJi8d2AoMt3w1oQ29MJPfrQrPPC5x3BKLYyo7ae2/8tBHhQ0GTsQ8vuKujz6qDt7oVJq0FviAH6URHwo/knN1g1QeoQWQkWsybrvo6K9Nw4qF1IpNGTuFAYKe1dAvQz6IHIQPUrdXQSlAgcTyrwwaIhE/1T+G9krPA+8AXlNak7eHW6QIjtou8fe6C1zr0z7yElM+bmOSNRSctLp83yE+JDyKL5aL9ybvJES8lM8HP+Pf/RpV34vNzNF0IHWV2c1IHfrFwLEPle7OZkzqVzV4Z2pZ8dhfk0hCfB0xD8oj86SuhkknorQ2ZAZkBm4HzLwFd5wH9PqJ8Vvy4/OhnIcnFyZ0WekHhVG/z8/Ml0INaD71Rqr3UW28ua3FlMrhxacQYkkKI4VbLh+ZSB4uJizJ07F0VF4uSnwWCA0WhEV5cwZh0/fjzWrFmD0NChO9ovN+1z/wSwHvXmPuD3tl7ZgyZCM+OfzRQHrt3FxhLg9k/ctXL899/PA24bpb4va5HPrhNec0qCp5/fut6lPLuSYRy24el5enz+yQXjxFNQgRf800Lgp6udgx/fHSlk610FARLKdVn7Wrhq7wzgam83IvfjEkzdJnTyT46Ixx1+o1HWOVjqw1N2CPvtLTfhj6FlmJ97DDVRoVgTFY//9ITjYMuAxhxrn/zNT2kxa/YCgRg+k2rCuoDsDvi4b1g7fr5hg3O5Jl5Yq0FBRjwKg4Lxd+8E7KweLEPman4Ez/hcUeLr2nRBWnAEkvC+jo8FSHagP427CPPuw7Keg0g5VoqDY4bjbk0majrdF01YI6XJPCWe7CPAC9jWuQNBJ22N5jvDDPhO6kwcanahC+hkwpZnhwyKMAPQa2RKTchCG2INJnxQHYiTdiDa1FgT3ju4HnoirCrjVHYCZvYqK/ARxNlctBbazEiBtrFYnB0lzNApi5UagkZ/P1yvG4vYMJ0NE2luWCdm9jWaa1bFAUHY3uKLPdUD+efvscuTgRN1tuwgy3JYn54Tb8TwYBP+eUjdM8Ux5g8HKlqdPyvc7/nfMdtbab78LSNNeP7rlUC7LVD1gyuuwKfF6u8xx/zDPOCamhIY9pdDR5qctR6hWX7QGxoW3hs6nZvMO7vXzorxjoAUCwWNGnFq43z3SOF3uG3lAnXmRsJiOp9ZskQINo2NBNLc0YL6k7KhCPjPYeemS9T88/cWhk802bJIc3GjCjcAnT3AQ5PEtfujeW81gt7eYyvjdSZACj1SpN/D4Kf4VKMw4SpqEkZmPFlDDVQ+Azxhke5aY7W3x4R5S0woanH/eWF/8ZlRvXjvyEZBh3t4kto3TLZXkoGCeuCVXeoPEvDkCD94KvsPQlDP94ZMh4CnkmnINjIDMgMyA2ctAx8eElR9T2LRaHFS0Fl4ynYhEH3nOE9mdF71kTW58+p2XLKTkUDKJXvrL9yF9/b2YsKECTh48CBiY2PxzjvvYP78+ejr68PSpUtx//33g2yVq6++Gl9++eWQLVRu2kOWStUD8QA1a0bv5A6c+KYM1S3ZAFn+LLr7KKzT0ZdkwbviIKraoP+KJzWPdYXAXf9Vd7X7xgM/n62uj5LWnx0HHv/KdUtPQQUWTjffBZQ1GPHpASM+LPa2OZwd4cf6hwnbSl2fTncHDtjPngo4738bmJpg+5feFXnQ253Y2TM+DY/2paHcDkzhM0TGgDP2i7OM3ZXRg7ePi8Ls4kwjVhVrUeVEPoxtqJDE/NLfgeoyStgZ7Mfc8pkfEyVUZMh8oAoNGRZHHBSS2WdUpKghvtR8BFmOPEHsFqXUe8M+F6xr3JQl5OHIvKlqE4dFuT7+xxoYpdy8tcKmwB0ri+PT+Pf1wCLM2nEEfX563D/pMqyuUs4yJOOFIMKhfsCGtWeyQvr6gO835WPm7mM2y6jOiMUUzQSnij+u3hhnwOMvw6pwz449WDF9DJ6oi0dnn+1zvzrkONJ3nFTy2tq0+WzyaDzepOwUe1awEV+d2gyMCBMInsUrhYaWLFLHBmB5bwgebk4yS6PRY8b6HeDzSbBijwsPaNbmsyJM8NWZ0NFtMvsYRemMWGiswexNh7B/WiZuqU5SRb7h/VtI/xk3oKuz3F+bZsKrXy4flNunr1yA9wuVP0fWA/xrRivm/muje8pVbIDQ3ytToWfmqBjPx4UFYyJV1jEyErgqVZiIEbRRE7OTgFs9OA2g5hqetuUHPfUe7RlT1uPxwSD1zZ1+OPv09ACv7FYvu8V3w4LO8QG7fQC07F2SCz11R62DLwlZLNY6hEpyQIDo53OUnQBRMt7F2oYnavqMgK/y97aj04TL/63xSFJwYkQvlhVuEaj4IxJIOWuP1Zt7gd0uPlgcXTgrYrCfFPeEhyYKOT4ZMgMyAzID50sG/nNI+YlA+zl/bxQww40EK6UlnMkROMoBv1PeOx6YEHe+ZMjjecianMepkx2HMAMSSBnCZMqhzk0G3njjDdx3333mi23duhXTpk2zufD777+PRYsWmf9t9erVmDdv3pBMTG7aQ5LGMxqEJ9lZQKYPQ4iP8PLwJH67CXhtr7qelyUBb3zLMxWBn64CPlTIRrHMisXpVYuH1oeWB2/v+HSwr4B9JpxJ5rjL2K3ZwB9m9gIfHTFr0xdkJmCvIRStWj28+/qgzQrH0zt9XfoqGLxYlHVduHU0D8r+/876VedpHVKZHEgnHctKxNLwRLzbEHz6z2Qx8KCOxXfk/7P3HeBRHWfXZ1e9996QhBAgid57scHg3nuJ47jF9p/ELcVpju3ELc4X9yS2gx1j7LhgB2O6Mb33JhBICIQk1HvX/s+5o4uuVnd37woJhJj3eRIMe+/cmXfmzkrvmXOO3jNY96KsLEENBg8w39t8Al+2hKHR11MpNttSI9G2R0CEpti8fkQkUF4HNFoEkKMN1gdIHiAQQSYL1z0PS9O2ggeoyRSw9TM0D7IzCLpcF1yNPx3eDt+SznJW2ud9MnoYflnZNb1+eqVQ2p51elvBw1U78oX8G43pCbjoBft+Z2Q17l60VimObO8fj+uOW6FkjhYjAHUdE1Ci+gefybglrBovblrb4VS5M74j1o+2VcxP9WvGV8fXw6eoGofT4rEiMArz64JxokYsoJdSynDztxtsn5jXGWOLlyvuHz4VK0ra/TvspeKO2Do8f3Q7LEFeMHHhcgFxARbTA6UOcHfFq4H98ffSEEXtSPsOUO2IFh08GG4kgjwteDUsHzNX7Ox4uRn4w9Wz8cEBg2g3gKsGCFLCPgc2ILZyf0k/C95b2hlI+WLuOPziqP3T7HpjHR1lwYJ936MhzA+14f4K4OaBVgRuy+3EelHuJ7rEzcAo0KEHpFCCij4cWqkwpvCuocCoWOCTvUL70GgQxeRGmeGcfJ3R5s/qukNFwLdH9OXNrBvmRnz5AGCWAzNW3rcoUxiTGQ22TeqgCl4RECPdNVpIfFne3AKTHp1Or8Dr6JnT+52d6Zqj9i/yz8GpHscAACAASURBVG+d34QNRc6zz66KacTrPywHhkQCPxl5kWexB4e/9SSwYL/9Hxq0j+cPPPyhiCc2rIOU35+NA7yNg209ODLZtMyAzIDMALD4CLCoC/JbzN3Do4D0CPtZzK8EPtgtfk40En3oZw5ZkzMy4fKans6ABFJ6OsNW7T/yyCM4dUpUJUaOHInf/OY3XepBVlYWnn76aVhYYQPw1FNPYdy4cV1q60K7acqUKVi7di2mT5+OVdSYtwrmJDk5WfFNueuuuzBv3rxuGaLctLsljb2ike2ngBs/d3ywWNvZN+YAVw5wvvvHy4EZH3VUAjHayl9mALdmGL3a8XU8SHvLl46vY72NCho8ne5M0Ix5+uEsgLQXnXjj2hl4+YCX3SbJ1thwwqnastIe/Q7mX6dhDDkqoJmA3LRYLIrph2yTF041uyHG34QlWQKk0AaZH5SqpWQTwQ+aZzNYj54Z14KJwY2Yn+uJA8XGfSB4aH18DPBlW6r49/7BoqZAsIFm8rS0sFVI5hxR+uj740L5xDqsJcPuCqnEk1m74X/axg/cZhMWTBiBF6sjFUsMo6bx6nPnJFuQXWrBoTJ9KRXWI1n05oFzBsESAqH8CqtrEowyKu3E+gP5VcDRcuCxgGJcuXIbXhk9Fq8XOy/TODTCAlezSbFC0NpPkBmz0CcTadvaC6xVcUGYHDQeZQ3G51Aduz0G1/eue5C0v/0Ee/m4BOTWmNFgdlHYSaFNDQjbZXXC3c4bsnHMQNxSYaCA3NbGvPh8TDtyDOBGpEpRebkKtJIv+cps/HnIKLxTHKSsZ4KhZP4xCHw5c9iN91yW0IJ3Vy3rtOFVxATid8PGYWFWZ1k96+GSZUhVpdUGMAJbQMqMhFZ8cHRTp8J8bYQfbk6ZjD1FxueZ+NMHI8rR72g+wg8XwLO0TY7NbELx4CjUBvsg7GQxvI6VdRyKltlgb9cjgpUc3Jl5ot7v6YrFN0zA6mof5FWbUNVARSoT0gMb8Yuj++G1ywDSxTmfkyI073pjWBvDO+ojAcEbBwtNuQbSS01iA8kIA1LD2+8mK+Xzg8BaA+8YNylS6VTEVW1lTLQoqg8KheXfu2Ai+4SAC0F6eqrwveKGRh8io5RGLioWfgmWyeiRDLyxuAYvH3HebP7ZlEoB4l83ELjE+F7bI4Po642Srk3WsCOvMH5ZEpw+aIN+yzzdN6JnzQX7+lzI8ckMyAx0bwb4y8wrG4yDxerT+fPEo2PbT+3Z61V2GfDf/UIG01bwx93pieKEkrvxA03dm4zubU3W5Lo3n7K1rmVAAildy1uX7vrqq69w/fXXgy9/aGgotm/fjthY50/Zqg8nkPLyyy8r7Y0ZMwYbNxp05e5S73vHTbW1tfDz81NkvF566SU8+eSTuh17+OGH8fbbbyMyMhL5+U5Sx20MVW7avWMNdFcvPtkH/HKlsdYeHgk8PsHYzzTWLbIofu1nxp5jfdXj44HHxnTtXr27/rUD+NNaY+3R+4DeHapsvKO75vQHXhtXB68X1tj8ofHv187Aqw6AFAIIm/IcPU3/898NrkFKlCsmDvaAy6vr7bq4V4b54W+pQ/FeUUc5CB7Y4ZypYApVW8J97J/K70rBmSPQY/6w3qmyO0oNqPbw2QRbCBaoQbNtHoSnzJY2JgXU4xacxuRTJxF4sq3oSwQnyAuNMMFU1aDYBZQG+GC9fzg+Rxi2lBs74XlTSgvuKcjCT1uSkV3b+Qd15pUAmbbOSPYR5aQIphCg0tpZULJsbFQr5pjLsLQ5EIWNLsp1ZJYQOLJXT1HHTABsdnQj5h91V2TVKa1PNg/HaGm1INLchDG1pZhRegoxWfl4ccIEvFXkfGHTHoNrqds+DNyn0Ui28rzYcf0oRG0/jqgcx6YxOcMScCcGIbfOMRjBHIwIbMInR9a1F/6tXxv+cjUyCu8FJ+K90iBlLn7IBbh+OB+Uu6P5vDNBMOY/UScxduXuTrfVhvni3SljsbzAA/s1oCNZL5ReI7BGObajJcBSA/YfrHmzdm0NfPLBVye24O+rlgOUwSLVixSStnjnlkvwl50edplx6rX+bhb8JzYPQ1fstbsZliaGoiXYG2HbNegPkVH6fDjaRLkmsq2u48ZT2YBdYwbgX26xWHbMpFujT/Zpxnvex5C4+ahtHyQmlbqHM3spiLK/EJi3xxidT7uqaEpkrWtIMIWoNwGVkW3sOkpuLT8qUEFbmp6kXxHF5WaqWSvK48gW4uYT6QNLUS1MlGwjms7Nml8O3FQIVPK6A0X2/ajYHgEbeqOMiHLm1ZLXOpmBLZkNuGuFh12WpHWTYR6t+CIyGwnbjwNPjAcC7B/8cLJL8nK9DKw/DuwoADJLOr97KsjMdzKr1H7+hkcKMIXvowyZAZkBmYHekAFnD4mwz1elApf1N977ynpgS574+YP7qPbQ1LAIwWyhQWUfClmT60OTeQEPRQIp53DyyEDZuXOnAnxQfuqmm246q6cTTBgyZAgOHDigtLl48WLMnj37rNrs7TcTfBo1apTSTY53zpw5ul1+66238NOf/lT5rKSkBMHBbTo3ZzFAuWmfRfJ64a2si3x5CPj9aqCqUb+DPHT6i3Gi5sFCbFdiZwFwzadduVP8Hv9oNwIp9PZ8eYOxvvD3VyqnrDjmuC40NR548RIgatdxgAiVjVhww1Q8vde+HtvZGN2/7ZONWUeOonRUPMILy2yah9QFeeP3A0fh01I/3Z7yALKbC3CiAgjzcSwz1lVPGRau6eGhPYzJ2iABFNVL1chszUgEVmkKz476E+fVgiv9qnC1exmStx+DmxaF0TywIcALSzIG4snSaLsHrYnF3BlWiZ8uWYvdw/vj9qYBqGpqL2bMSgJYp6RsGgvfDCp0UCbt+5zOI2QxngARgSA9Rg49O5gn1jO1TBPrlibHCVsQeqOw5kmJKusaKe/xcbXgwZByjGstx41FiUZSfuaa/kGiNktTdL1Y57IbcQc0aARRCv6io4anK164ZArmnDqBoQeyYdY5mVsf6IXNqYn4b1A8NhS4KPKGjiLYw4IPzJkYtuuo7qXNvh7YnhKP5T4R2AY/lDeZ4ech5OJ83cT8fHGoo6qUo2eqn9+XWIffLunMFlU/r44PxKJRGTjp5Yu8ajO25gEnNHYiSYFCSamyobPcnbYP9gDMF5PLcMviDQpRAUMi2lkGzH9tI34/bhL+vce+ETVJA18mnMTQJZ1BIb1clMcGoTXEC8G72xgiLJiTcWCvAMj+sfDPX4DV4MnrplbsGpqEP9bHYkeB/cIgH/NAfA0eaciFb16Z+ELjSxTUBg6MjQbCuqiDaXTSz+a6rhqycuMhSKKHpNEgnpS9CW1eQqTZvbVVmFRRKo0vLdPKv3Oi+VJZI8/qmOb2F14Otj7ndUQD+e7SDJso9ikb/jjsF7UNZ/RSUOts5rEX3vv3pbV49ZC34Z79flAN7l242vlCluEnyAttZmBbnjghwXea/+PGxi9sMv2MUGT5Pr8wEwgwJnspZ0JmQGZAZqDHM0CZ0HlO+NnxZwmapHYVxD9WKn4G5C/x/AW2qxroPZ6Ys3uArMmdXf7k3d2TAQmkdE8eHbayb98+BfTgiz9s2DCFjdIdsXDhQlx33XVKuzfeeCMWLFjQHc322jb+97//4aqrrlL6t3v3biWnevH111/jmmuuUT6iKX16umNzVXVTdjR4VU7N0XXy8wsjA2TersoBFh4Sv8Px9zYq3lxLVYdEobhyNsFi/PQPHYMRes94cWb3+gI7w0hhf/h7LCWi+DMZWRrtZ7pFbylLfccQ4KbBQAhrFXonb1ikYjHRBFQF++Jmc1qH0+jW4z4bIOXf3kcxfWebiTilX6h1r1OJ/2T8cPyy1L7ZHsd+R0a7zJGtNUBJsbQwcaDS2WD+eHjyhEZtqyv+NImBgmVxsq125yiH/Pn67dCTmL1+t2MNNROwcmIG7i+Jt3mwnn3+efFhjNx5REnBq5Mm4O2SIIyKFvXcPQXiPTpdK9Q5WO9gDfS/BztnjNeTDbXsmD7oob2D6lRck6ovtHVrs5IsKKo1Keo72hzbmqcroxoQ7m3Be0eNFWK4RtjXFTbYE5eF1OHtHWvawRGzCTnTUrGq1hcnzZ6g97y/pRkRsZ74035vTAlowFWNp5FcXwUPSwvqzC7Y5x3YgRlEkOxEhQW5lbaL6/18W3BPQj1yC5vRZDLD29KCkQ3lmHjiBHwLK5E5OB5/DkjB96X64ySAfGmS2A9JlCDzQ/XmIQC9q9C+Esv1CY3467Lltl8HMzDv6qn4yxEf1GoAN+sbyFLhu7VaQ+hRr+kXCLiahLKTdQwKseDzkxvgm1suPiIKnuAvJA2or1/ZgOZQT/zt0mn4LtuMrLLOuWQO/jq0Cld9vs4xo0TTgVOj+yF6qwYd1PM+0XZ4aARAzw2yVqL9BJJVVKMU+h+5ZBb+d8T46Wqy+d69DAjsKmbS0iomnKADvwh93AGiWp7O+0w4tRe+u62znJbRBuzll/mkPNPgcKEVp56a4AbIsXGMLNjqoavq82cmCiqdPfMn9VpuagyCNHw2XxZuUPzTy01s0kTI+WzSTalnKKNHM1BQ2oJ/rG3EezmOmSU/S6nFQ9u3wZMoPX8ANNsHWnu04xdz484aKGtz9ex0gCctZMgMyAzIDPSWDOwuEPJbjmQG+Lsy9XVjOyol9JZh9KZ+SCClN83GxdsXCaSco7l/4YUX8MwzzyiAxz//+U/ce++93fbk+Ph4nDx5Ej4+PqioqIC5D//wP3/+fNx+++1K7o4cOYL+/fWpj8uXL8esWbOU6/QM6fWSL4GUbluSF2RDrKWw/mFpFXUOSgh1RxRWCwkxgjXOBAuXNJuPER633RKU6bnli/amWLQeF9SIEJcWVLeasbXCHeWNnQt3g0OAP80E+LNgbSOUk+usGdGYOlBbn3hnK7BHY6xCyRoWkniisK1Y9crc6Xj9qO1fdNkmWTxaf2Ujgw92b8XSmm0IP6Y52U0aAlExnghi1bvFgvogb9zUfyJ2V9qXrOoXIA42WsvlW/eFB5pZ1HVkiq03BqrCUIlGZVXw9/9wb5tEGrtp0J7OdwSk/CysFD/fsMkxUqE+0WzCG+PH4uXizibdlM+6PKYRf/h+NVxYlASQNToZv/EbeMZPhoewWcumyhHj5sHCtkDvkCnrlmTXWIN2tgZP1joPfxOksQ5KpB0pFawfo8HD52yPYIG94HKanaxYjNhcq2/65eKKbXuVZrJTovFBTAoWnPbtxO5hXfepca3IrTKhsdUkJMxMwPLszv43Cf4WPBdRiIrCRnztGo4VpZ5ncjU1tBEpwRZsq3DHrsLO73GivwXXJjVjwWFXnKp1XKAfHSXqwfThITuEwX5RkYg1YL7WegfvHQEpH189Gb8/7H/Ga8henv3dgaGRHT3VqVQV5Qds07EG4Z72p/4VuOWbdR2b5WQtbWfn1MX744uxI7Ct3htVbbV0gqLhPqYzdhs35xxG/DoBDhqNFi9XVGZEI2hLm8SXlZTbmXa8XYX/QoA7YDILChD3Kr4kJyqwODwOP1vnYdhyQ2331xOBBwRp13jQpIib++a8jmwpthDtK1gdpI+RVtYTYf294cwzHAFVUxOAm9sO0nx1EFh+zHjr1ALkfBihgKmtEt0lsqvdwCgZRmMbLXPmoVFAhgMjWeM9lVfayUBZVSsWbqnH4lNu2FLaGRScHNqEq8JqcfWxw/DoHyLQ8T78e1SvXyyf73f+B2YOSjJSev3Uyg7KDFy0GThaKuS3KDVrzaLlD9rpYULvOcR5X6+LMacSSLkYZ733jVkCKedoTq6++mqQTUGQg2bz4eEaM8yz7AMlrOgHwk2FTBcyXvpq9CSQ4ihnctN2lCH5uXUGeMj4iWVAUZ3zps0PjAB+Pbl7c8oDsXctBPLLWnC7RwlmVBQgOeuUqAS7mHA6PhQ/hMcoJ+A3abwxnpkE/CS+TWeJRSIWlghSJASK4+qkGyiOzDvbzUToTUDdeCtN+mPp8XjYPx0HS/QLuWymK94M/y+sFL9Y1+4T1eLthp2p/bAqOAo5TW5oaDUh1KUF/QIt+KbYp5O0vnWmb023q1LW4XJHwIWtWWTNjQeUqQTD6Go71vfak/YiAPCt+34M3uMcsnc4PQFzWtI7sFJY5J4R34JHs/ahf2a7fFWrpyvuHTEN35d4KOPSAilkGLAITsk46yCwRGUc4l7OhJ7EEwv+N6cB862U5gb4NeMWtxLENdTArbUVNS6u2O4VhI9LA5SiNcfE9dfcpiiiMlm4WueG1mFASw3ifCyweLjg30X+2Fupf6p8uF8j5p3cgoCCChwaFI9HvAbiSE3HIh7X+owEYbNAmTJKn2k9ZAgSkVTFGvfpWgsujWnBXZXHMWKDYF21ermiKCEMdS4uqAv2xcutsVhZLHKuF2QDESzQY3HYumdaAvDDcX1gi7/3EQyz9qt5cGAjfrX8+46mN20PODE8AdeZ0tDSalIsJRjMLftkSzmJB8QLa4SFBmvbxOv0gC5PVwt+lVqLeyjN02o1onh/8ctrRQM+umk6Pi/w0gWbeBfHdUNKM277ei08VGN5Jxbk8Qn9kbAhC5YADzRfmQq3XQUAqY9EyPgLM0EJsiS42G3Ek8uBzw448dC2S+lV9c7lTtxH9sl/DwjKob3g4rlraPci++rz/rldoOddCUdACr1mHhgmaDqUWPurE16CpGPSKMyZIJWJgJiKjhNp5skDFUVW2yLl69pBzrQsrz3LDBRXtGLNvnrklrYqIK6nCzDArxXj6ooQEOQB0GOjjxjxnmWqzu/tG08AH+1xvg/8WZQoMn/IkSEzIDMgM9AbM1BSK36o5w+0lCQI9RI/E3oZ86PsjUM6H32SNbnzkXX5TOsMSCDlHK0JMieOHTuGhIQEZGcbcFF1ol///ve/FYYLN5V58+bhjjvucOLuC+vSnpT2cpQJuWk7ypD83DoDPOB70+cAaylk7NKjwUiw9vP+VQC9irs7duyuQdx3+xCWW2yzaXoyvJ8xFC+eDsHIoCbMD8iG5yo7Zsb0HWBRaP9p4H+HAWpNUU/JhvnMlomD8UxrP2SW6v/Cy/oV2TMsdhgJX1cL/ms6gMH7BDiwLz0Rr/knYUWJfqGS88FT9TwcpCevzzauGgB8c9jI04WfB32MnQ1rGa/uAlLssXquDa3F37b8YDy56qBczXh63GQsKBLyNSMigVT/ZtybdQADDp7oNPRnJk3BR0XCg4bFe9Y4aDNw/SCRKxbGraMrsmZsg3nju6X19J6eIH5HUZlgqT5NeNIlD+OPn4DvaY2WGhswm3B8QDQWh8bipeJQEIhamyuYRvzfFeZSjCwqQL+9uTBrkI6aUF9sTIjHl27h+Las/RRZincT3qw/iNQjedgxNhX/8E1AebOLgkb0CwKq6oHKRuH9yNrutw5ID2mhFvwquBCTv93eGSAA0OjvgcfSJuC7UvuSJl1Zp2RckVRhq87NV5+KUCo4E+cHTOsHNDRbEOnRjBEtVZi+eCtQ36Jsgu+PG4mVhe4gPqH1CWc7BJRo17NXQ2pT18hDIwVba93xVqw+Ye7AZvJxs+CS2BbMtZTgsqXb9F9DbjXJwXhv9Ai8stfdrqQYGyCz5c2gk5hF+Tsn4+SIBMTuOI76cXHwvKtNflSVjzJY5LvzK+dr+Owm8Y5VtwPuRn4np9zVf/Y6BlHU8ZMKxEJld0vnOMsUUfvDl5NItI6vUIcpIwVuaqJg4H28R3y5OIpoH8Db3TnUUW1zYCiQWSy+9LkpUU7OOqYkdK9up6PxyM9lBi6UDNA4+fm1ts0LbY3jR8OA0TEXyihlP2UGZAZkBmQGupgBWZPrYuLkbd2aAQmkdGs6bTdGs3PKbo0ePRqbNm3q1qcuWbIEc+fOVYCU1157DY899li3tt+bGpNm871pNmRfHGXgubXAP3eIqwiO0PdNT45G2w4PLP9iLHBjmqPWu/B5cQ0s/9gB00mrQrJOU60eLlgwZTSuKcuD97bOhfJOt/Ao/60ZYsA8JWzLuKLtxoMjkvBxZBKWF7ijoKYjoBLoacH1A1rx770uDj1GWaR/OzAXMzcICaVdw5Nxf3MKChtdHCZoej9g+ylR1LYOZ4AUnmAno0Blljh8cBu4wENIBNvUoMfBJs3fjbSjXnN5fwEmUOKKh6LpT6JXL/xjYAHu2dw1j66l04bjY/dopHk1YFz+KYzNyoGnjRP7v500GR8WtevSsYhPdZtgTyEVpRcTYgUrw9nQAjW8l2P3chGSXpwTskP+VrEf/Y44QDJdTPh2wlB87BGD9SeAADcL3vQ9jsmb99vVGqsL8MI7GcPwRkkwbgypxgOnj6DExwef+Ubji2JfUMWJ8lSs4/LgP+0WyDg7Vm5caWhwcCveK9yB6GOdNcfWj0jFbTX6MpdqLpUcRTjef/Ry7wiAIQDGejaZR8RPtQwVMoOmJVgw2bsWYS5NeD4nAKeqbJ8YZo2e3vCUd9PGGabFf/dhtVsw9pl80QAzfNCCiXUlyFh3UBdk0rax8MeX4Ldb3FGpI1+oN24vFwsWuGZi2J52STAja/PUiARE78pF9Y9HwJen3LsQ130GRRrP2SDJ5csbgOTOKnydm+Lm995O5x5x5QBgTopz9zi6OqcUeG+XcxJabJOAhYPvGeXR16QKUIOyTdSom7+nowSlXv9mJ4mNylmNSbZF1Jj3kYWipZhpn8Mvnx75kneUbPm5zMAFkIElWcA3mcY7GuEDPDFB6PLKkBmQGZAZkBno0xmQQEqfnt4LZnASSDlHU+Xh4YHm5mZMmzYNK1eu7Nanrl27FlOnTlWAlOeeew6/+tWvurX93tRYbW0t/Pz80NraipdeeglPPvmkbvcefvhhRe4sMjIS+fldqEbotCo37d60Enp/X0jGmPh+R8YDT1zz5DVrOdbeGwRQkoNE4XdMNPD7qT0wRp7GZYXYYLQOj4B5pwOzCG1bkT5oGhUDtzUaUwUHzzo1JA6LohNQAHdYzCYEtTZjduUppG7KwvIx6XitOQr7q/TNjkcFNOHnlhOYtO2gUug+nRCKm4NH4litcRPfGW2eHNbdvH4g8EWbb72RdM1KEgbpRuOSJGB1TkcWBQ9800tEVYUx2havY7Gb0kgDgoVXNOsK3x1tV1ajsT3ZED9qzMMlP+xypukz19aPjEFrQTW8C6vsG3C7mXH/2OlYWtTOCKI8E311apttHwg/G0bObWkCEKPiHNV4eDKf75i/WysWNO/HgAMGKUNmE5bOGoWHcsLxr6DjmLHRShvMRuaafd2xZ+4wnDjdjJKIQLy0zxN1zSZFyYkELe1rd+MgUTN21jfpxpQW3HH6KNKP5sG1vE5h0tRE+OF3g8bg81z7BaT0cCC7rJPSnqF14Ajgo/wXsVl7kmFk+RwosqCs3rHsCv2hKK+mNZknyPbJ9QC+PKivC2dnJHnD4/FVdCIOmn2w6LDj52ub+klYBZ5Zv864aQ+AE6P6Ia6pDkdTovB6Ywz4rhNsoueS0bjjS2Ct8a36TLPcQ1beYUAlgjJjBL0pO+ZMBHgIzUnKVXVnfLZfbIhGg4gbtfGI4DG4cfK0AtFKUtEYRG7zqwWlKrtcgCm8Zki42GT5vPI28x/tc/nS8kt4oROFXO39fNkcmWZRd3BqP6OjldfJDFxcGaBvE03njaDJ/MJ4aLR4v2XIDMgMyAzIDPT5DMiaXJ+f4gtigBJIOUfTxIJ+UVER0tPTsXu381IR9rr51Vdf4frrr1eAlDfffBMPPvjgORrV+XnMlClTQPBoxowZuqCUxWJRTOgppXbXXXcpcmfdEXLT7o4sXjxt0GR+zHv64/X3EIdWtWovrAepBfSbBgMvX9rNuaIr9AtrjRuMs5hEDVfVZdpgd1quGACXRQY1sazbtNa7N5uQOS4Z7wcloaLZrJiZs0QWiUZMrS3C6GO58Cxrdxn/dOwwPFXunLQDa2wEvdR6nNolAiOUMypqa56KPFeE1GJuw2nENtTC3dKKKrMrdvoG4z/1IShrdlH8G4wUxwkYUKboa500dUXeigCFt5tYP1emAP87IgCFGwYBXx4SElIFVaLQ/fuAAty7pWuMFKUgSfd2B3Egox8ub0o7s75Z75waD1ByjFYRS46J+qZ1OCrY23usei+7SG8RqoNsPAXc51+C/7fOORZoRWII/p6Yjt+uWWsfMLLqUFFaNN5KG46P94mD6PTmJnCqZQaxfw3NQFyAU5im8qQgTwu+Me1HfF6RKGS3WlAUEYBptenKq2okP47mzvpzzt1Ng4DjlULCizVqvoP0YqZ3JsfI9ydXR71IbYs1b653rZSXo34QfKIqkupRMyoK+OImAHsLgbdtyHdZNVod7Y83Ro3BFyfdEe5tcpo1xub4Hq1o3onYTIO6jADyLk9DzMpMnJqUjPEnBFOIQOLbwyrQz7VJUMZIT7QDRvxiqXNArjr0SxKB965ylF2iPRXAX5wDiM60+uPhwMhoAw9x4pKDBcDKXKJtjm8imMNTCdyLqD1H1JQ0L3pyaU3eeR2/x/zcgS2a+SPKTP05jmFrXsdTDaRQ8buSmzSRPEeyYXq9JVCzR0efTr2WunHPTOl+iTTHmZNXyAxcOBmoaQSWZokfqtQflq17zy+KGweLUyIyZAZkBmQGZAYuigzImtxFMc29fpASSDlHU5SRkYH9+/cjICAApaWlCujRXfHqq68qzAy2+emnn+KGG27orqZ7ZTvvvfce7rvvPmW8GzduxNixYzv087PPPsPNN9+s/NuKFSswc+bMbhmH3LS7JY0XTSNUPCKQYtTnQ5uY29KBP3fPsm1vlr+Qfu3ECVs6oVu7SBuZPVaOWVVlYcvJqB8di6bCWlj83LHXIwBLvcOxoNRfKUpPCmnEh7u+hwvb1RbL2p5Bn4g7B03BpnLnpR1sSRddniL8K2YE1uHx+hykH9SXeqmMCsCKvwaLWQAAIABJREFUpCQ8Xx2FS5JNihG2nuJM/yDhZ0vmCE+n0x/DurjMz4+V2fZu0UspVWK+zxEHtK8eACzPFvgXWRoerqIgq+JhN4TW4NUta5xfmCww8sSnASDl9Qnj8EpJiIK7TIq1ILmpBhVljcqSKHHzRJ6btzKFeZVC3koNshZsEaZYeyRQRUBLLeirdhMEwaytCC5LFgfSf118AOm7nfcly5mein7fO/G+cBAm4KO5k/BMVoAyJD1QjEwnkgEKasWfDM4bATsjKkV/CziBa7e0G/EWDIrG2NbhDt80ArdcVzVNDi89c8HQCICHfelto6dwxPU8Jhb44oBtBSM25kgazFaPtPmb0Q/44GoIFOrVjYICYycIovxqyAR8ky0k/s6G7fSGTw6u3LHfUOIq+wXDO94PrhtOoGBaCn5TH4fHXfKQcroIbpkl7QVBGoxSa41mTcmdzbA+3Qf8+nuncDylfz8fC/xsnIGuHiwCXt9i4EKdS1i4nJ7YtXtt3UXwnUxG7jFE6PQWKn9sTgwSSB5RY6J4NLxytCcRUIny6/iC8TTD3P7ApATgXzrMHFKg+FI6altvPJPigHV26ESkKF0njea7dwHJ1vpsBghskuG1pxAoqwO83AR9mxqQKSHC0EqGzIDMgMyAzMBFkwFZk7toprpXD1QCKedoesgYIXOELz7ZFBMmTOi2J8+ePRvLly9X2t65cyeGDGkzN+22J/SuhiiRNmLECOzduxcxMTEK44RgCeW+vvjiCwVkqaysxJw5c7B48eJu67zctLstlRdFQyzsUp5lYxc8L349UXj6dmt8uMs5Aw5rdogznTHIXLBucv7oYXihPkb5/ZiFf2vT6YVehzB8l75fQVZ6PGY2ZTjTyzPX2vLmICjhW1GNJw7vRnCBpuJv4ylbJw7Gi279EOxlUhgiBW2G6iyYu7oIaSV6qfCANBkv9CAmGKA9LM2mL00SNUVb8vraxxNcYJ2BDI+pCYL9wDoei/P0qyBoc7Kq/Q7iIYvd9mHgXhtGJbYyyDllJb5FB8XS3FM1PBrPRA1BhEcrRlSUIP3kKcQeyW8Hv1zNODwwDiv9I7AYIQj0MStSXAyq6VCOy3rc/HfmiSof1sAkxzMhThScrT1hnh3ViLs/X2UskVbjbkkLg8t+A6fjre7bMDwVt9b2V+afWKSqTMKaL1kVrKVrvacpuZYQKEgKtBmiJzvnjGCcXjwZXIRHNrYXwEsGhGOMy2hl/HrBNunFw/zVNnVea7amm30lQKVdO3rXsqY9K1moJNlar/YAMnsvLFlG6pzfMxT447S2q8ki+MC+PN0LV12CdzPb5aeMAClBnsLnhWuKXkOcB8aL/idxy1YDTGITcGJ6KuIIwA2JQFlyGPy3noAL2R+aaA3wwPLxGThi8UKzyQwff1cMSfbE2LiO2fjxN8AKJzBAgmXvzAViBY5nP3obkKKVbIv1F0wTnkInasrF60IWjzewJU8sNFKF4gPEC2UkuOmSxaLVTeRpdkoCEbh514qlxxeAz7H+EnL0LCKPIyOBNTaAFD7zvhFAkJejluTnMgMyA9YZ4J6gnqCQ2ZEZkBmQGZAZuCgzIGtyF+W097pBSyDlHE3JO++8A/p28MW/++678f7773fLk48ePYrBgwejqakJERER3eYH0i2d68FGcnJyMH36dPBPhre3twKk1NfXK38fPny4IvsVFNR9dG+5affghPbRpnmq+CknLZFYUP3udiHr3q3x/k7nnKbPBkjp4r0vT5yAN4rFO0uvX4IDWoWUR8PK8MS6Dbpp2ZuRiCsaB3cpZbaKrDPCGvDuye1wzykz3O5/rpqMl3L8UaEjvW/dCAvMJ8qBuEAhmUSGinLg0hW4rL9gZ6jSRtb3EighAETpf17Dul9hjfjv6wYKSS9bMmGPh5XgsQ2bjcu8kQWSEQEXngi1E0VDY/Gv+FTE+1gwc+t+RB61f/3eIYl4xjMFfgFuWJsrCtjjYjuyUqbEC9P40jr7U0DAgCbzWmm1n/arxVNLvzc8dx0u7CIYeCQ9AZc0pStzQ2CHsBOlreiLvU5j08IaMO0aSKzgHGqDNV+CiazjbrNSlHo8tASPrW+XKmv29cBd6ZOxvqyzZwVVjXjAX32urfVAkGdwmKhZMyjDRQzJnueJtr8EU0hQsDaIV76b3YD+weIwsbPBmjPBnxaLBa/PNmFCfFsLRCb5sC8O6jZ5fFQirmsZhOLaduavLdk4XkGgiR7FJbUC6OSkseZOEgOZODc0FeCmtQ7k8KgINS0V0RuPKnJQZNVZUkJg3tHu0VYd4Yf/jByO1bU+2JRv7kCsC/ayYHKcCRNjgZvb8OBvDwOvbTZGioj0AR4bA9xu9BwNwZ0/r3N2SsT19w4XL1t3xjeHgCU6IDmLpqqsDzUMGfxi6Apjkt9L3GS1MkE0or80WfjufGVlikVEOqfCIfupQxrsIXZ8yW5JA0J9ujNzsi2ZAZkBmQGZAZkBmQGZgYsmA7Imd9FMda8eqARSztH0sOBP3w4W+11cXLB582aFVXG2cd1112HhwoUKQHPPPfeAslcXS1RVVeGVV17Bl19+iezsbJjNZgwYMAC33norHn30Ubi7Oy/xYy93ctO+WFZW943zdDUw+2OgVOB7hqJHZL345Pl77MuNWPeui2AIm2mckQT3VU44rwMoSAzHLN9RqGhsL36SiUD5e6qrEFDxdbVgvlsmhuqwUjLT4jGrWZ+RwloclVyifQGqvFAapqlFsB9Y6OZzNpzsmADe80PcMcQv1y/W6k1mUUIorg8ZhdMNLoqEl+p7zBER4NADRShZpBb/rx8kSB+U5ee1lPJnMZlqRpTAUn03+O9kIPC0PhWC6G3Mg9Oq7wiLxpQMIxag59VKEObd4BO4ZMMeQybaqyekY7U5CNfUnELGoeNCXk0TJQmh2BEfg39ZomBqasFbRbsQfMwYm2NfRiJ+4zcQlS1mZYwEEAgmcfz0OmFhW/WpcfQCBXqKor0KPlwXXofX1q5ydJv+510EUo6lxWF68xBoC/f0rdAyC9i0h4sAiOwFGRIs8lO2TY0/Bebjrs07Otz23zHD8ERFR28g3stas3Zd812iCop6KJ/riAAPAQRtX7oixZUeJuaqzGqvYz8IShglDmgHRiCIa3VWogW/nWolh0owhSDF99kd9eEA/N/cafjr0Y7Fai27RX0GAUtaZRDEs+Uxw3m6Pa0FtxZko/+WLJh1aDeVCSGo6B+KuPUCRDkTY6OBsgZFw604KhC/8xqAb3Psy9AQ1HpwRDsj8X+ZwCf77fvp0JKD3xu3OkPI4+b0j232vTz0Fic30t/0gNn8znzgw92O2WNcxJx7Il/OLioupn6BAkxRY0QkcN9IsVlvOAEw4TT9YYyJEWZL3IBKHCC5vH5AsJBr4wak0s6IDo+NFS8yv1OlDFHX9mN5l8yAzIDMgMyAzIDMgMwAf41vs0igL7IMmYHzlQEJpJzDzN9+++345JNPlCfSfH79+vVITOy6zvSvf/1r/OUvf1Hac3V1VaSuUlNTz+GILq5HyU374prv7hrtymzg/kXGtO4HhgDvXiFqPd0em06KQpXR6MqJXwCnE8NgSQtDxKIDRp+kXPfVhGH4WYm+UXxyoKhFeboC3q3NuP14JqK3aKrLAGrCfHFdwkQcqnI981zWrQaHCJUY1sEILqj1LdazyAihxH5zcwtMzRZEerSgqbIRQU0NqI8IwOOHdsLkhLzTl5NH4EvPKNQ1ATsKOh585pxSsYZFa631DFkJrOGxP6zBKifirYLFXIIKNChnwZdsF1UujCbyLDir8li0qCEQwefR28KWRyvbfCX4FC7bfQDuNBPRiWY/D2wbNxD/MMdgR4FJKZLPCq7HlJZS+LY0o8lkRr6HFxbUBmFCghmfHwSWxWQjdZVzc//++FFY6RtxhjlBdg0ZKNH+HVkcRhaUFgRIC2jGV1lr4UHDImeDp8eNGF9btbtzaDKuqR94xpODcku0DFIZSjxUT2CBIJ6RIDjEOd2cJ0CFRb6ZGLQ1q8OtRYlhmOs/CqfrzWf+nUwedU1oLx4bIyTmPN1EP6wZL2T20IbCaP+0besBMKwjU37OWr7OyNjTwoCx0Rb8zDMPAaQq6QUR0axSHNlWhrrqFjTChHdjBmBZdnsueBvfL9bMN7VJLZL5NyMRWKqvFNjpScznCK86jK8oQnBNDdxaLahzc8Xh4BC8Wx6EO92Kcdu6bR1fONKBTlSg2dsNT4yfhq+y2/cme+MnVvHEOODuYeIqvvML9gG7CgTgxTo/mT4Dg4EhkcANqUCUETkv64duywPety+R1qmfNI66fICR6XP+mn9uB3YWOL6PyBE30a4YkPFl0gIw3Cifmtj+TAIn3PMpfUZ9N16vmtgTgdTbUInI8Tp+gU9JFCg9J41oN02qOKEyel8GSMEj5YybA6XjZMgMyAzIDMgMyAzIDPT6DMiaXK+foouigxJIOYfTTBmu9PR0NDY2gghqcHAw3njjDdxyyy1O9aKoqAgPPvigwkRhO9xM7r33Xvzzn/90qh15sXMZkJu2c/mSV7dngKohP1/WbvitlxsWj/8yU3hn9kiwWP7cmvbTto4eEuMnrlVdyh1d3/b5txOHYlJhHgLMFuCwQf36/sHInZ6KlwuC8b/DnUkSNL2+NV0wR2Z8BER4tuIX3gWYWpSPqKz2whsL8n8sjVBO+1OxZVOeBYNCTVh9vONBceuhkAXB2hdrc9OC63FrQCVGBjcjbMEuw/JX5fFB+MXAcVh53H5BhgeqWUzXFpZZgGZNx9rjw2DKOxhpq/JNVw0AvjnsuIUJQQ24zlKMSeWFCCkTKE51sC9W+UfgK5cwrCsVRUAWtSN8gfW5HQ+NM9dk0ny6H5gU0Yx/HlwPD1KxnIjswXF4NlZoEnm5C4NzMhkWZgq5MmeCjCPKZqnWBvP9jmLiNivJHkcNko7ESaFRjZPx1sSxeLE4VJH2IhvEWk6rK2yPaQmCTEZAYoZnJR5cvLZTr9aMS8OPK/spdUHWdclS2molC6bexPYYfC+sw4iXiK2U2LqXnt6LO2I/hrJ6y2AL/rh5DTxn9RfsADvx08XAoiPiAnoF/aAzNu2/ExihdJ4Dy58OT5zeryM7SPsh34Nllt3od1BDbSMFbmAoNvqE4JbDkYbGrF7E/n10rf4tlAOM8AbOmnRb3wR8uEcgNEaCG9eDo4CwHpKmWnFUvPS20F+1j11kiym3W9/LOXpmqv3RU0buSHHbxkedw1bRRxbfXU2COkhUcmrXD0YZSb+8phsy0Aa8Kkjx7gIxpzyhwZMKQyOB5GCBWMuQGZAZkBmQGZAZkBnolRmQNbleOS0XXackkHKOp3z+/Pm44447FPBDBUHS0tLwk5/8RDFMHzRo0Bm6mrZrFRUVihzYggUL8Nlnn6Guru7M/ZQIW7NmDby8pHllT06n3LR7Mrt9v216IZCd8tn+dhkditXMTQGuTBF1W78ePrjasjIbLl84wRagDr71kXU7U1Ub5INlo9NwzbItohLOyvuhYvuTS9oIXdF5VP7KVOwtFIeSa5rEQdH+Qe1sFB7wvXthu0KZv5sFdwSWI7ahFm4WCxrCffHaqQDcnNKCd/e6KqbtPHFuhPjLbrS2Cl+IcSGNmN+0Hy62KtFWI2rycccfx0/ERye8DS1kYlQh3u2+ESxAM84WSKEXB2udBBEo9fPZAWNMKD6bheAAT0X1TDlcrcdm0BqLs4ZICwFfN+CrTFGL+ltMIS5bts1QDjpcZDbhualT4B7tq5BACEAQNLCWWzPasApi8PoHY6vxq9VrnKuYDw4Fgr0FamRk8bR1rDIhGNeFj8WRSjOSg4S/B6XZ1HEwRwQ4nHillJY5NzcOFl4qWaUWvBBRiEuWbO/YN0rRjU3Dz2vjkRpmVpgXturRttgqfNbZACl6PiR8rckIIyGO77TR4Lv/zuBSzNywD3h8nEDY7MQTy4H/tm1ttoAUAkwcHwEk/kkgxZlgrZXSe5Vtyk/W9/4+uBD3bmxb/2Q0cQEcL8eLEyfgrSLn/NrI5HlhBnBLujM97MK15XUCBXVEQeKmdddQQYvryeD3E4ELe+/dWchOKvJaWoCfclw/Gi42P0ex/rhYAHUtYqPkC837x8Y5ulN+3hsykFsKbMkXh0O4vtxcBEWU2qFqUKPwhjQBjMmQGZAZkBmQGZAZkBnodRmQNbleNyUXZYckkHIepp2+Hr/85S8VIETV9lM3BB8fH0RHRyMgIAAeHh6orKxEaWkp8vLa9Cjog9rGQuGfAwcOxKpVqxSpMBk9mwG5afdsfi+W1nkImIohPAjJk/csfLdJffZ4CpYeakH894cwaG9HWSzdB7NjlCShfAqLRw6iydsd/zdiFGZWFWL47ja9HBaaVJ2ynPJ2Wggrw/x3DpyyKfTcoMP2H6cJzSE78fkB4PHl+hcM9m/B44mVuH9PEEZHC3ktntA3GmqB+dmgAtxdwlPImgKLnUbWjUjF7TX9jT5GuU7LTJgaL+S56GtMWbBDJfYZNNYPYgGbddAJcQKsY7DN6iZ9jxRHHbVlSq7e96Ohwgvj68z2eidl0m4vzcHlO/Y7al7387fHj8Ey9zDFC4cSTKzbEqDpSqhgAOWbrh9kwZz8XEzbuM9YU6S08OE0bKHumlEfBrMJH00chaWe4YrnBoMMhvL6drUizhOZSI4O3Ot1dGY/oKJRgDAECu6tOq47psKkcHyano5XM/UPVpBsYw9E6E4ghUyy0zVAQbWQ0VLXppGJmNPfgkRTA2aG1GHUWMcgBAHqJ1eIlu2xsSiVdnWqALStrH6MdKvDe2t9w2D/Ziw8thYeXD8EkBtbUJIUhqneo1HVZOXxYuBpNw9sxUuzz8Hp+JpGwUoh2qUa6Kj9C/cWm9XwKIH+9nQ0NgLfHRVIrq0JIquE3yfdIe3FBU9jpfESDOnpqT1v7eeUibXNPZ0nWrRBbU9qGdKITKUx8v29f2TPMa/OWyLkg2UGZAZkBmQGZAYu/AzImtyFP4d9YQQSSDlPs7h8+XLceeedOH36tK5hkq0NQmWysNv0XHnnnXdA8EVGz2dAbto9n2P5hJ7NwMsbgK/2tmCJ90H47y/Ql+3iUXAep2cFmO7lLDSQWcJTvKSE6ER5bBDe6TcYbxcF4nvXPUjab3XUmzVE6i2pRrssgKm689r2np8BBNln1vEA6Q2fd8Z2wryAjf778bvWBMwv8u0kqWQksyTREN/5e8FOxBeXCaCHbBl7YTbhtxMm48MiPyOPOHMNcSMyJ2qbRVrpm62qjJC1wNPz9HOhv4ajmNOG4dCgfd9pcTUL780WfYkje+2FeQNktmh9XKyvZ46obsPnqcFa6x0l2ZizwwnGk6bheZNG46OW8DPYFYGgH9oACUfjt/5cBYIIZFCdy9fVgjd8j2PK5v12T7rXh/rAPdYX5l1tBiZc+6y8WxeXrR/oYgIl7R49HQMSEfjqMDcEEjiPqi+HHmPD6NhY7yUAw3r3iCjgZEkLvi3ejICTnUHOD6+YhN8e0WcOkOlDCwitJ7q2D6xRU9GP4IeRINtkeKRYD8Rd6QVDZZz8KiDSr93jhge8ua0YYV1R5pDPP1lFsNmC2zNM+Pk44QtiK1pagJu/FHJmZGORnWKrzk7Akb7iXQl7QBPHvTtwL3x3njqT4Kz0eMxscsYFvr1XVyU04/WKfWLCB4X1vOQQZY9ooMNJ5GIj0k+pIy/74HZX8ujwnr0FYqHyRaLZO02huMD4PnLD5N5sVDpSfRhpPvStUQFyIq03DAK2FwCPjpE+GQ4n5QK8YH8h8G2WAN7sBQHDfkHAlrZDa2Tj/mjYuTvlcgGmVnZZZkBmQGZAZkBm4HxkQNbkzkfW5TOtMyCBlPO4JijX9fbbb+P1119Hfn5+p55oQRP1Q/7b3Llz8dRTT2Hy5MnnsfcX36Plpn3xzXlfG/Gf1wHvbAf+534QQ0qLRGFKNQlQ3MvNoprPYppWWoXH2FmAcjWjrtEC98o6NLi74URwoOKlMb8uGLm1Lkq6VrrtRf99XaiAE2x5fqYolDmInfnA/YsEs0eNLYnHUHWiBpe1ZihEArIxjBaDtY+7un8L/r5qhTgNPTDUoTTZydRozHAZrqTNmSCDg8VmHpK1FZQ1C/ayb9RNJRIqlFAOTQUQWC8kA8DTRcjIURLKaMzoB6wyQFjSMmpYIKe38uMuJ3Hz1t1GH9Xhus/mTsDTx4LOsDWYHxa7nVDWOtPe9QOB8gagvsmC9ScFE4AY3gPBZbi0qhAZmcdh1iAJFVGBWB8TixA/E8Z+v7dj/xWGij9QVieARW2YTcgeGIvFwTF4pTjkTN8JVpTWibxflgwsaSNonQ2Qwnu35UNhWjEISLzhn4srt1r118MFv5s1A/MO60thGWGcOGIk8fncKnhdRRvjxnqeeKib3ttHytrBQAJ09Aln/ZsgiXVE+gIc575CIMtqzd49FHh2Wsc7lh8FVmQLrJOyfHwPCFDy1eX0rrSxjo3kwNYitncvt8lMz+1w13iOnA2QcmViC944sV0U/on+XDng/IAaXXqju/Gm74+JTZAvFVE+xqBQ+2iv3uOJEpJdqX7n8WUiYszN67kZYrOV0XcycLIc+GS/8S9AniKI8hOam/zaeGoikBDYd/IhRyIzIDMgMyAzIDPQBzIga3J9YBL7wBAkkNILJrG5uRlbt27F2rVrsW3bNtBMvqSkBA0NDQgMDFRM6ZOSkhTgZOrUqYiKiuoFvb74uiA37YtvzvvaiN/cCry0AfiP1xFM3mXAidw6Aa5m/GzydGyu8lQKlTx5by1T9Il3Fibs7IImE01/n5rUzlpxkHwyL15aL1gLAe7ArtYtWOQZgUerE5RirMoCcHYOL0tswbvLl4piGxECnoi2ow+2KyMJVzcOcuoxZKJQvot1QUfBk/wk89jy1dAaYBMEYRG5XwDw5SHhz82uExfTgk62nsm6IodrBIDS+pCMoZVOPjAnpA5vbPsBZidRpYqYQPxr8jj8facA4xg8DE+vFsqzORNk81C9JS1MqLlYm4krPi8h9Uix0FenFbUurlhS66cceF9UtAkBeTZQJwJ8rPSTetGmxWfxdME9YSOx+mRn+SWCYGRksDb3VZvXPQ850wPIyfQowyewRE8P/skucH3PCa3DO1t/6LA+M6cOxOL4ZCzMtCCnorOclJF3g2ABGVIEn/ieWzM7eJD/kiRg2VHH1jOcD6rmaFXyyGiK9RfjYDD3BEG47rJKgVvTxTqkX05J2zui1DUnAA+PBtbmiPoogRI9Zg3fmZsHWRSD+2PlJmREAN6uYtoonce1tV7jCe/M+tKue+v7boupxQsb1sKk6dTZSHvdmdiA55asADLCRWLGxQLXDup5ZoozCTlX1+44BRwoBo6WAoU1wniH8pMG5ReVSad+ono9Nxci7suOiRH8bqp4v2X0nQz8dz/wvYFTAdoRk/3FzY9BA7srBvSdfMiRyAzIDMgMyAzIDPSBDMiaXB+YxD4wBAmk9IFJlEM4NxmQm/a5ybN8Ss9l4MBp4MYvgHsCyvDkug1OP+hwegLmtKTbUvhS2nsovAK/XLfOeSrB9YOAmUlO9UmVxIrOzkfspzvx6fAheKoq9qwMs2cmtOL99SvanbGHRQK7C2yOZ8eQJFzbYBxIifAR6mW0UDAalE7iQWoq7miDjAB6o9A7l6GellfZInwWi8oerkBzC6AqVlk/l5JJLLDzcLY16cJWH/lsMkaIL4yMBjadEN7aX3kcxJDdbcVJgwNcNykDz7XGK1Jk2rqoEWaE9SPUe+wVvPW6dU9oJf64fq3BHrdftnrqEDxQHIv6Zn0PjKQAAajQcJ4sDoJVRuSttB0hy4KYHueP8+TqIiSzWPddn7sarkU1yuXHRyfifqTiUKWLTWk7GqYzx3rG72RUXBlSi8sbTmNsXSlcqhrQ6OGK4z7+WOkbjg/LA1HZZMLMRGB1jmMQRR0DGTpU1lFBEe3Y4vwFqEIwhUHgj9ZKzBfv49pW18TsJOCqFOD1bQKItBess/94WCsOFJmwMc+kkA4YrKfzPeFYCbTZMo7Xa5sAEsEwW/P3TUQ2hq6xkrYzAS9OnIi3ipw72U5W2fvxpzBt2U7RFerE8aQ8kaS0cKfXaZ+5oahaLCRu/kToiC4aWQxEo4nMcQEMiQD83IBlbYZSTM7FwEjZclIglEQwiVwSTBrcR9cSwcy/bxLGY84EGYhxAUIjk2j8T8c4c7e8VmZAZkBmQGZAZkBmoIczIGtyPZxg2byhDEggxVCa5EUyAzzNKgplFrXiI5MiM3ABZuBnS4BV2RYsr92GiKNthhoGx/H2hDH4S0mYzav5htDo+anMHYg93Fmu0OaNrDA/M0VU/bsS32QCS7Lw9ch0PNbGSNmc5zyWw0ezAP9s4T6k7DsuesKKJo+0HyzSpRJkD47DzNYhnZgPtobhLDjAgu/lIbWY7leH/PJW1JpdsLbFH+FBrgpbQ8tqYYGY3uhMowrUUJ2McapK1A+5fbHGxBqkoqLWdkqfh3CNymjF+glmBJ9N+wS2RyYM5ZVme1Xi9tWb4apWrh3MJ2W1Pp88Es/t8VTaVI3aeRs9a6jgw6K6kWCRO7dcsG+clW96OKQUT2/YaOQxHa8xAR9fOwV/yvTr4I1NECslRNRrOR+U6acElbPzz4dpZdSo8MTUsqZOqawNhWtRDzPWxsfjE68Y7C42K+pHlHyrrLcgt6ojwMO/TYxv9y5RB5Pi3YQXXXIwcs9Rmwys/JRI/CMmFRuafJ0CAq3HwL+zf4Fegj2ktS8gqDcpTqwn2hWoni30C/JwAa5IAfac7qjQZD1pJCrQP1y7lvQmluuNz87TkRnTu54gFt85PYIa39MdEQcR9ENnEHH78BRcV+vcyfZpsa2Yt3G5MFFiEF3iwCgzd1vXPFecX9y9/A7qyi3LAiirSM8tLhKiltq6AAAgAElEQVRtEDThBsg/y+rFhkfkbv6+jtdRb+7+UQJd64vx3RFBSyRSrqXo0cCJpk58Wab261sjpznWAqt5tjdCftnQC44gEyXeSMOjR9aVKYCra9/KjRyNzIDMgMyAzIDMwAWcAVmTu4Anrw91XQIpfWgy5VB6NgNy0+7Z/MrWz00GVmUD/28J8EhAMR7YtNWmgbx1bwrSYvBwYAa2F7fLL2mvYY2PCjSrjwP3hlbgl7u2wGT0uDfdoScl0NRC0C542pg0ChYy2gBMu9n58iCw4hgy0xMwtyVdqTmyAEvfEGeDhe5JNUV4cMOWjrfSI4ZaR3S7p/kxgyDLgBD8PHIovjzl2NuFl4+NMQYMsGj8cHAJLq0sRFpmbgcQpzbSH+ti4/CZSwSWl7fr+rPvlEciwKE9/U+ZKaraUBmHxXwOg/4pPu5CIceoOg6HTCkxFp85PSzks9htXVj+ZVgx7tuxE261bTQAG5NQE+GPfwwZhrfy/BSwQD1gbr2uCAAtbfMZsTWfLHKzIM4D1wxngZSn4yrw8Ip1hpZLs68HDiVFo8LkCrPFgorIQHxsiVCWA0Ef1m7DvID6VoAHnKkuQyYI+0aGBQ86GwWHCFqRwbS3DfOcndyei/SQVtzkWYp/lQUpHkVc89q5Zw5OlltworpjgdgazOnv04x/1O5H8iHHiFV9iDeeTR2Fj0v8DOVKvYigBZkclALkfx8tsy8hxx6T+UJAlIws5osm9JRK4xZBoIX4q4tZAHkEAtm2s+AbZenoZaO+0rYGxWex3z+04avW1z2WVIPHS4+IDltFi6crXho1Fu8YZKX4e1jwctRpXLZ0W8eWiCrSYOa3U7sOOjs1axfAxYXVwIe7AXcz0D9EmPZwIXCDop4bEUwGv0sIpHDhWce9w4BRMRfAYJ3sIimCXx8E1jkwm+KXzaVJwFznwD4ne3NuL//mULs5lb0n0yeOlDhunNaaltyEkoPFhk6ZLxkyAzIDMgMyAzIDMgPnPQOyJnfep0B2gGdR2xaiySKP2Z/TBbFo0SJ899132LNnj+KH4u7ujvDwcIwdOxbXX389hg0bdk77Ix/mOANy03acI3nFhZEBHtT80xrgueB8XLthl0Mw5URSBJ4IyUCh2UM5EE3mgYqR+LsDZjNQUAVktdWo7hsO/DamFPj3Ln09HzVNLFTclCYKFZTSoEyLWswwAbVpkdgfF4UfvEOR3+qOxACh/sV6YodYfBhYdESprD45djI+K/btcIrf6KywwE1pKx+04MvybQjP0dHf4mlVFeDh6dXjFVg+bCDuq0p0+BgyE3zd7BvMs5Eg91a86XMcEzcfsEsTqQ3yxuuDh+Gt4iDwJP/gUFEPqm4CTgu1pw7BvLH7qs0H088+LTRoaUMDe8oh0YOFB3btATD3hpTjlsqTSD10otP6avFxR1Z6Av5misXiMm+ljwR7BoRA8bWwjukJQBNroy7i+aosFQ9UU9KeWBu9R1hg5+FzqrGx4E4rBY6RQA+ZBNZ+Ptrn3JfaiKfWrINHuW3jmtKoQHwfl4CvzGFYW+Zx5nYCU5Sh4p80WKeaDC0tWLPVSowR6GDNjuebq5sdS3xRjYjMlq2n2ns6t397jrRMFV5B2TD6nGs9Teg3UlXTghUnXM74iVAqbGhkOytlgf9RjN/aZuTicBUDZTFBuDlqDDKrjJ/UJrjJ9UlA4li5APSMBOu7JIPR74evuB4bhOuAACXzHu8PrMk10nL7NVPi7d9DogIBLFueML8bUIU76/Pg3twskGQdald1iC9eGTgMHxQH2O1ckKcFz8SV44ZFOtKLXBCUcXtotGARyBAZ4Du7PR9Ye7yzGRSRTBqIk8ZF+pN1xPgBPxsnUOW+Fp/tFxp8RoIv5uUpwOz+Rq7u/dcYAVL4Zcj/cbO2F/wS4QmCG9J6/7hlD2UGZAZkBmQGZAb6eAZkTa6PT/AFMjwJpJzjicrMzMQtt9yiAChqqBiWuinw32+88Ua899578PHpotTNOR7XxfA4uWlfDLN88Yzxf4cB1llG15XgitI8JPE0ulWluTnCF3Xj4nFvQQy2lHcsNLFgzQK2tYITi92fXg8Mj4Kolu4thGV9LkynqtuTSzrE5AShNcXq97xdnR2tNVNREh2EP/fLwH9L/JRT/9cOBH46GiBJJLcCqM0sReqCrYrJ89pRg3BnVRJoaM1rVXDH0cwqtZJEyp6JK28Kq8EfD2+H92nHuj91GZF4yn8QvikWoICtYB2UZBvKbNkK+jC8H5iDKRv3O+qy8nm9vyeeTx+NHB9/5eAxi8os2NvyQ7FulAAAZcD0PDO019KigbkO9wbCfR3LJvFeZa5CanCjSzGaKpsUBZ4iN08sdg3FqtKODJ7EQGBaglCf4bpi8ZqHy/cVtUtbjY8RSkccI68hg4Xj5LIloEdQhYwPMpG0tWwVcGGfiNVZhyof9VdLFibu0EeVjqVE4+nAwdhS2Q6g6E3QlQMEM0b1K9ZjxtDrgz7XZQ1AfpVgW2hfvaRAoeBEloTWS4f95PtGsI+gzeiojqbperJhzMutacDJKiDMvQWNNc3wMLUiyKMVx5s9UFTagvf3roFbjX32kPVYPxg/Cn8ojTC0RtWLCFiQPbJFAww5aoDvA9eo6gtj73oyVrhunGmf7Y2ItCCrzHTGa0j7jNTAVkyLt+CjAy5nVLbUz+dGNeDX7nmI3ZINU3m9QPpI/SLFRSca/DyxfGAKvnELx9KSjuufAMqs6CZcVVeASav36g+ToACZFpT2Iuooo2MG6pqAzGJBvSOSzE2dG4It46dgT+CBUcIToytxpFigyUT3uFDZzpDIrrTU/ffsPAX8e7fd79VODyXK+9BIIMj+91j3d7YHWnQk7cX5ovYifXOMBNcSQaarUo1cLa+RGZAZkBmQGZAZkBnooQzImlwPJVY261QGJJDiVLrO7mKCKBMmTEB5ebnis2G9CWj/zv8eOXIk1q1bp7BVZJz/DMhN+/zPgexB92dgxTFRFE9rrkJySSl8LU0I8XNBaKyXMKP1dMP32cAD3+pahHToEGsTr88B5vQHmlrEIeFlx4Dt2c2Y6FIJ79YWBPiYEZvojf7JXog7lg/8a4chc47KMD/8KnkkFpUJcJlF5T9MBZ5fK+pmx3x2wIXVa1cz5k0Yhd8VhmFEpChGq3JPtrKn1EiSgVU5oibGw7mXJAKupTV4uvwI4jNtGK6wms2O5FfjtLc3fhs7BEvaGBZ6z6LsEA3CCRbYijvDqvDchrX26RNWN58eGotfRQ5FTbPwQGEt90sHBAOCHJSEJyDGQjVBtVY7y4vsB+JiaaHAF8bJC0qLZCOkhwPbdAroTB/7kVMmiv3a4GFhggVkwLy707ZcFyXGyHZwxERgPwjWcE1qgQtKNhFguTu8Cs9uXNeJQXMqIQwPhQ7Drmpj38XM1Z4CwdrSA1LIAhoeAZTWC8kuSlepQSBAz7dDlbpa0Qb00SuEDInGtkmjRNuAYMG8YdAKIiEQqGoAdhcCVC/6YJd41cje4BokM+WN4JMYsWy30xtLzsBYzDIPRQPRMYNxWxrw6QHjJvVqs8xncwuwqbNqVocncx43OFAxstXV54fW4ni1CYX1LmiBBaHmVoz2q8dhiyfeyvTCHwZUwTOvHLUmF7jDgqSAFgypLofnJitkjp4TDoqzrZ6u2JuagFwXTzSZzAqNZlhePpK2dPZX6dBfSlNxk71/pEDaZOhngJv4mhzguyyhAacX1KFkUdxeHvMrBVOSLzKRWzIRSY3i9wxZDDSkIoCmhuo5QiR0etL5nZ3/7BEvg7NBJHhOH5CxcmQ2TyDySImhnz3OpJAbNymG3LipcMq/j40TX3AyZAZkBmQGZAZkBmQGzkkGZE3unKRZPsRBBiSQcg6XyKhRo7Bjxw4FQFFZKLGxsYiLi0NjYyOysrJQUVFx5nNe9/TTT+OFF144h72Uj7KVAblpy7VxMWdg4wng9S0dT8Br80FZoUfHAFMThPrMC+vsF/Ovi6jFXzevgcmJSuzhjATMaU5XWB0M1kJYM2PheVnKSQxYvk9pz+Lhgi/GDMO/msKREWVGWZ0osus9ioV8MkXWtX3OWhlNywkw0ZeXtbE7gitwaXUhEuuq4d7YhFoPD+SHBWJkYYHwLGCRLTkIp6OCsATB+LwuELsrOxbdA9wtuD2kClV+XvjosJvNpfQfnyxMtsGKsHmT2YTfTZyEeadFcZWgQmGNBSV1nc2TKXmVGirk2Qgwsc7IIjzNv8l2YCGeh7i1QfUbghmsH4V4dzYqN/JeWMtQ8R6CK2SVOPJoof/O1akAJf8/3tuxEE8si22rTCJHfdG7nv4qLNIzW6+Hn8KV63Z2KLD9fdI4vFrkHANAHa9ecZ//xlwzrwSPaBxvLwiuzEpqB/rYX4JHlLpSg8DfymzRbc4//1QBO46LbJAfNJJX9B8xA3ji5D4M3GfD+MNep9zMuGvMTPxQbAxc4lgpLacCQY7mSfs5gUECal8ftn+XOo/OtK1e+4t+VbjftRADs/or0mvW5fcIz1Z8V7YFIbklyi1Vl6TAb4VmAtSGqLHHDUVLJbLXIaJox8oEM89RkGbHF5iI1IkqQSPj8wgG8E8ZHTNAkINACEEPbmpkDBHJzoiAQlm0ZS5PFHR/kTCwz7WSA6O2Hk2PbAE07AFRar5g1ww6PzPCjfLVDbaZOPZ6RV1EAnV9If67X8yVXnAzsneiwdb4KUOqfbdJiyWdkvqTwVJBoC8sGzkGmQGZAZkBmYHenQFZk+vd83Ox9E4CKedoplesWIFZs2adAUlmz56NV155BWlp7Zq7BFfom/LYY48hOztbAVv8/f2Rl5cnJb7O0TzZe4zctHvBJMgunNcMkGWyLR/4IadNit4iCrpTEoQ/A1VnCFo8uRxY3nZy3laH3/XPwWVbjclXnWnD1Yynxk3Gp0W+Z/5JW6Dfl5wFv2VHYDGbsGhkOv7VGold5a5KXYuyTyyi0x/EbLYg2APw9zBh8ylRw2Sh189DeMnbqq+w7sZaHMGbP/cvw830MeA/sLjCwlsbwlMf7I2t/eKQ5+KlyFn5tzYj1b8FK9xDUefniTf3uSsgjXVkBDbj88Nr4Vlm0EBC08DqEQNxd03ymX+5jJ4OVswLSh/xoC7lsmwFi/yswq/X+I5TSo1sFHp+8ED88QrnlyGZGfQ3UYfNOibngziUkSCYwsPS9ADRSjexXXqIqOCaXlu+bhbcEFiFkOYGWGCCa6A7Pi3xw/FKATRNjgPWth3eZp9eCsnHVdv2wKWuGcX9QjEnYDRO1xN2MB48uEzfcda3+W6QnVXVKECOkjpR42RNfHxbvvk5JcGsg/eSafLZgXaWCWvDXHJkkjE4ZzxcfbpWeM3Qs0ibVxrdU+JOK8Onyp39+dRuJBxwbDKvN/L/N2UGFhZ6GUrKTYOF/ZEj1pCtxu7MAD6yoXil3qPH/jHUOQCP9qvGfa6nMTTLNpPgbwEncO2WPaiY1R/+u07BxITrhWpgTXMXnfdcuYWbCalg9O2wJT1l3TbpVC5mobHHl5G0KrbDlynBX7SX5BzgZzQ/Xb5uW56gDCrmTQQzXIEgL1F85uLvbQDQhlzxYnGTY27ZT+acEesHFNSIl01rRKSXHG4tZHZccR4M3HPLgdc2OaaQ6vWbjKpHxnR5unvVjSfLgfn7xUkLbfCHFr47XJPOBlm6ZCJZB08FXD0AiOmiTJyz/ZDXywzIDMgMyAzIDFykGZA1uYt04nvZsCWQco4m5KGHHsK7776rAClz587FN998c0bay7oLhYWFiqzXqVOnlGu++OILXHPNNeeop/IxtjIgN225NrqSARauWVClrBELmW4uou7FA4z0wO1r8c424M/r7Y8q3rsFiws2wi/f+Yr8ipGD8ePqdmN31g4JfPAQLtU2Nqdk45vGIDx7PNBhalWDczIiWAP5vy3G6mOPDm7A49+uEtQIFlConWQgjidH4ZHgDPgHuikMGOu4PrwWf137vYGWOl9yIL0f5jS1A/MEPC4hiyFb1NMIopD9wGK2o2BeqHzDmiHrgWQEELxg8Z1SaV2pP9EOhwfDOU8MPT8PR/3iHJEVowIIvF6P6aK282BaEy6tL0JKdj4CDmmMU0xAycAobI6MwiqvMFSbXBUVIG1cFlaPa/o342CdJ/5vl/PSLcTX7hoqDi8TOGFBncpMtFHYktfRRoPXEiSizBpBPQJ1BF2YewKTScFAgLvwMecBefrV0IaD0mdUEeLyU55hI696AAPBl40ngaUuezFgv5Pu7HyQqxk/GjcDq4rse8bwUoJTL89swbJjLvjWKs+O5lz9/K4hwIft1nK6txG8ot9MV+KZ5ApMrSrEpadtF75vC6/Gn9f+gJLLUhGyRN9L58yz+QImBgl2AhGyNpqXJcADJhZjidqS5kfTHyPBF4b+H7bAG7bBBUEmBM2eznccKwFW5wrk0xbKmRwkpJLGx7f3NrMI2HNamAeV1QsgStVEHBIODArvuZFtzxMnAE5UCKSS+3t2WccvBRVcISDEDY0vq63gC82Fm3GOfVPIpCGQYq9vtvrcl4AUjnFfIfDtkY7oP8Ex0jHtoe+28kMarC30n+vzjgzAt6P/Uc8tWNmyzIDMgMyAzIDMwMWXAVmTu/jmvDeOWAIp52hWCIzs3LlTAUYOHz6M5OT2k8N6XXjrrbfwyCOPKNdLea9zNEkOHiM37d4xDxdKL+hVQemd93e2+xZo+05/AtZYWGyl2khfiPI64IoFjj1Jroqox+trVzqnT96WoIPpCbisKf1Mulhspmw9wSoGJY6ckQ8iQ4DFaxaiHxgBfJ1pQU5FZ0ksth3la8GP4uvwwNK1ogDKYhuLm7ZOnetM6srRg/GcORHe7kJ1Rhs3RtTilTVdA1Iy0xMwS5MXtstRsIhOT+XjFRbsLdIfl97a4320AiAIc8Mg4PODghHBg7x6zAlH65e+HGSO8H4eCKZpPQ+qOxOsp96WLiSqmDsqKPE9s/bA+clwILCxHtfuPYCYI/l2H5E9IBrzkgfjPzkeyiFzSrvdnCbqbvQrJk5GwKErYYshwTxO6ydsHI5XirxyLPb8PVR/F8qAXZFiQWxLLRYVe2PLqfY5JajC+bKeH71+qP/2pl8urtjmgOqhM/jCAZGY4T4C1U2O19TdQyxYnwtE+JkULxpng3sllXgcmcjzGjKnCPYZCdbEyVTzcbUgxa8FLS0WePm4KSSRb3RUu64Ir8eb61aibng0vHboGP7YeijpVNTPA1A/JwWeCoPtNEDUWY+aZt0ONcv4slhr7uk9jwyPK/oD086jR8fxMqHr6Eizj/0P8OCCBiYmAN9kipfA1ji5ECbEAZclAjkVwMlqUQwnwpsWBoScpbTSR7vFFwlRX24wjgrtRJsJptiT+SJd85b27ysj6/Ksr6mqA17bLJBwZ6MvSXupYz9eCmzIEyyuU1VAQoA4UeCErOiZNFIL1N66vm4gcIn93++cnRJ5vcyAzIDMgMyAzIDMQHsGZE1OrobekAEJpJyjWQgPD0dJSQlSUlJw6JBjp96cnBwkJSUpQMrtt9+ODz/88Bz1VD7GVgbkpi3XhtEMsLj7/i7g2TWO76Ah+l9nicPLF3r87zDwyHeOR3FDRC1e7SJgkDskHpMbMjo8RC0KkznhzYPCZY77oL2CrAYWeuf0t2BYuAklDUB2KVBSL7xEeNB7YGALZreWIPBIEVxMFrS6uSAO9TA5qu5adaUm1Bc3JE5ErdlVUY0hU4nsA8aU0EbM27YK5i4UeLYOS8ENde2n6eO8WjDTpwY+lmbEBLngm2IvbCo35mfBvvAgPcEPnvCnohDZEK5mwWxxZPqtl30tc0Q1d3dulsTV9wwBsisESMT/I7NHW+98bAyw9WgTXi7YjbhjBplCKdH4v+R07K9ww8AwYKGGbHA2clH27mUur0kFKJd3qlqATEbivmHAvD3Aa/2Ksd3kiw+Otp9+tpVXPaaG2rfLQurw9o41MJM650QsnzEcz1ZHKypTtoJriKyoE+VAdbPw2emKtNecZGDJUWN4pVGmE3PCoCeQ9dB56JyeLHVNwNJjQo2Ktf2rQwVjrHFoJNx3FziRrfZLi+4djbBRbawKsjX+vRNobDN90msxzAvw8xQ+KkaDwM2DI4Gw84TQf7hb6PgZDW7c3Fj4BWIPlCbyxUI2qV2UUtRq1cX6CxkuMiqGdoEBcrAQ+DJTbPZsm4ivkSA9jOimrctJP31qopGWuvcagkJdQYDnnic5su4dvX5rFXWCDkha5MESIZHnbNiS9lLb6YtAlLM5ktfLDMgMyAzIDMgM9GAGZE2uB5MrmzacAQmkGE7V2V3o4eGB5uZmTJ8+HfRLcRS81t3dXQFSrrjiCnz99deObpGf93AG5KbdwwnuQ80bBRTUIdNv+LYMYEYCEHqWh2rPZxr/vhl4dZPjHkwLa8S8Lau6JD1ydFQSZlR1NPFVTaaNFlGte8j7eKiZYAHVUMiY4On2vEohS8SDrJT1p1oP1WZYh/lkSAnGL9oGk73TyDZS8cG4kfhDmSj23ZUhDsZSsongwPOVB5G09ZjjJFpdseiKcfj5sRBM8KvDDZYiTD51EoEn24uvjX4e2J6SgKXeEZhX7G+oTqiCH1pAoCs5Zv2TbahshLMBJ+b0B2oagcOlgtXCmiqZJASkHhoFzNsNPO+Ziyu3OMey2DJzKOZ5xXYwcGeKuwr6qGwge1JTlPQim4oKQAQKjATBCfrfuLc0456KbDzY2B/51YIVYstsPcIHCPDsqEijgiu88yufTAzfYVxzi2DgbUnjUevqjnAfoLS2I7uIzCEyeViL5gF/Al3MY0W9sJ2gcpMzMSXeOABDYJr10WI79gezksRapFe7veA6jfcHdhXSTwnI8GrAT47sQ7CvCZ477TOdbLVb/PB4hKYHt3/MzhJQIT1JK/PFjWdUNBDhDXzlQEZM72E0Rb8i1Zk0d8+1BwqB93bZZ2noPcmR+Tc337RwAVrYAzlIKZvRBXmzhQeFkREXqFFKE8fBeSKIYwvoIovmiXFA2DnW8dyaB3y0xzGrRjsXpMb+dCQQcp4AuO5ZgcZamb9XoPDOhrXZvPX9XA8/HQWkhHb8hL5nBBcLa4Bmi9AhDfMRpxXOF+Dp7Njl9f+fvesAj6M6t2dXvXdZxWqWbVly78LduGAbMM30ToCEGpKQECAkIXkkBBJK6CUh9GY6NsaAce9N7rJl2ZKbeu9t33f2aqzRanZnZrEt2b7/972P96SZW/5758rvP/ecIzMgMyAzIDMgM9ADMiBrcj1gEeQQWKcX9zptdDaXcdIyYLVa7aAITeYXLlxoqB933jHUsHzIrQzIQ9uttJ11L/F28xXzDdtmHM8Pi9aNLcAT04E+pyk75aEfgHd36C85i8FLfHcgeWue/sMOT8yfOho/+EfbAQ3mi7VHenYU1Qq5fXc8EsgOYAFWTS4hmDImTrBF2A9raywI88Iy7Q2e8DmI+K93mh4/X/huWDpurRfSO2RY/E/l/fCrqDLct3KNqXYVQ/T7E6pw/posBJa6MELxtGJh5mDcV9ZbV9mERueU91KYKRwUL7uzKE/vD6PBAj+L0crN/58CpLAtxUeEABeDNVbmcXsxcLisFV+XrEOYCkQyMs6a1EhMCRyNYgdTefZH1oJZuwGCo1SAUV+a1xoHgSnWb3mx3egFctbIl+XZ8GnYfhzwD8IjRdEorrPYwSpnbTh6yXC/E4zi+IYHNeH1iixE5ugjHM3+3nh6xCi8UNxxSLF2TRYHg/+S5DfDS/3qOL+fYHgw6HGj59WtvDsxAcgqMqZqxXf4L9oHx7Xipc1WlDd0lR1T8q149ejtDYI4lPrKbferDvS0YWVUNsKWGkS+VB3YYgJRc9dYBEVoeCgQZWJHRFW5oWmgxUPo9c3iIzQbg6KAO7vBNNzdAnXfcIDeHlobg8tIuS2DXlR2uTAyKyYmGc/au1nCgImGW2bDVXGdKOmvM4HYYLOt/vTn398GrDCopcc/yjxYZjv3CPrpA+pBLewuAl7b0pWO5mqIlATjPzT0Lk/cOAQYmyBa4kGzKEf8weT37RgEr9IjBHUvzL8HJUgORWZAZkBmQGZAZqBnZkDW5Hrmupxto5JAyilacXdAEXfeOUXTOSu7kYf2Wbnspie99CBwoxsEMhartxQArH+9OOf0M6In2HDvos436yeEN2IoauFra0W91QOrmoOQVeVlz+mzKSW4eNE6U/mtjgnGRfHj0CvUww6YkEWiAFDbi6jqYsOqQ/qeDVqdqovQvJR8bjKQXerc72Vl8gEkfLvL1PiVh5cPS8P19X3toIxy4135XZi3DR+27UCaUQNwDwsWzhiF7Y2+uG/zBviwIKsXFuCrCcNxT1GcSyUd7kV6hdATmqCFIkFGcIE+HD6WNvhabTjW4HHc7Nyx6/7hNgzrZcH8PR0XyclOcOUH4mr4CkPEkaVw5yjg5U3AfRGl+OUqA7QojU7+OX4cnivpjGISZCOgZhagcwQunM2JNV+q/5DxQIDBSPBZvnObTxHmfrcBy84fhXebo1DbZsVKJ3VT1nrJ5FH8ZPiVjE/suJR9c2ojrs3fh34785zKFNXGh+K5lIF4qTjUyDA7PXPNQOCrfaKuODMV+OGAPjhFsIf18/9lGe9uUu82vLnhB3yfORgfIBrLDlmPS7/RPoSeSBs1cAmeJfShoYSXo23JVQOBD1SY6a+Tq3HvijWwGEVj2odfNakPgq/qzKbTndk/V3WgOLoPqx6I8gcenWrmjRPz7IvrgR0OKJqRlpl80pu05JZ4APHnRtE39mfWNJ1ACmlMPPTNRnyQQHe1UNO4QOAPk822eGKeJ1WM9FjFQMxZqzzk+FFecJaAKEoevsoWIIeRa4Q8PGhmZWR/3DgUGNsbqKoDPt0r5MT0ggcdtR5jTjFzSW9c8vcyAzIDMgMyAzIDPTqhAoAAACAASURBVCwDsibXwxbkLB2OBFJO0cK7A4q4884pms5Z2Y08tHvmstc0iroNaxi8yMv/X7ePSjnlVI/6ydXA8xvM98qxU9qdEkUPjAdYGD6dgioZL20SXiM3RlZhTl0BRuzLhxcXqD0awv2xLjkRn/vGoCHYDw/t34oEHTNwdQ4+Hz8cvyyJ05QwInuin3cT3jto3AdE3bYaSDkvFfjxoOtC7+J+h5H2tYkKr6qzhSMH4o6aZMztD3y5t+sqX9i7Cb89sgtJe3QKMJ5WfHnOMPy+PBZL2rYgZpdBow0AbT4euHvUZCwo8XO6zQggsOhMJR0FGBgT2oR5KMaMimMIL6iwV53rQvywPiYW3/j1wvzSwOOF63PibMiMa8Pr2zzsBXFFkSc2QHj90v/XTJANw3oWQR3KelFujXUt1gEpd/X1PuDx4CO4esNWM80ef/bN0cPxx6q4Lu+S6UTv6ap2Lxu9xqlS1NZmwzSPSkyuLUZkUwM8YEO5pzfWBEbi7dpwHKu3Hm+Ge48XluODRT9GgvOdFVWPlCPF8IoNwJ8OhOHqYW14ZKkHap0YwBMAO1Ah1GUYnBeZQsQDOAYqTF0XVokZtYUYVlAIn9pGtHpZkdcrEj+ExGBPeATm51CTxlxwfdg+GSncTwQqJyQI8gXZOI6e3qybUy1pb2mHXNkxJyQrXqSnYTwVdbysNkR4tyG4pQnTW8swYf1uLD93KL5vDUVZkxVxIRa8lmU9vg/JpGG9nftSYZ4R2KInCnNCIghrrNNSgBWU/VNZmewI2Yag9QZv+5Op4+eJ0ltGI3KgyT9Ojy0XqKXZoL7ag+OBQA32i9m2zDz/wvqudCQj7xPZIytFy8hbT05Jq31usqsHChN7I/HZTiC3UhwuZoOsE9L0aGTuGJm9gRuGmm3xxD3Pjfx9LnCgXHxQatCA/+jgB9A3DJh2lhqkU9KNqK4jeqpeASLXPJB2GQAIqdd412igbwTw4Q5SB42vJQ/J67txrxgfqXxSZkBmQGZAZkBmoNsyIGty3ZZ62bEqAxJIOUXbwR1QxJ13TtF0zspu5KHds5adN6u/2y9uCqsvCbI2cHmGKKyy+OvRUa88JRP444/CDNqdUIr5BIMWXC1qM6dLPLde3Bz/V+RRTFma5fL2MOWBvps8DB+UBuLJgm3ola8vp7I6MwO3VCWjvtWiCaSMC2vEHM8K/KG4l+mUUbGDxVTuKYIHlCXS80+4rk8jHt6+Ef6H2zV/jPZqAR4bPwGvFofg/L7AAg1rCu6D4vIW/NbzCMYfOoSgYw6muFYLDgzoja/C4/FUcQRujarEH1atNHazVjXOb0YNwi+qnRca1awK5uVqFOH8LTvgU+HEgMLTim0j+uJ/kSlotHqisAbYXwEMiRb+M0qwXdZNjTIwlPcc/VkUdgo9psnsWZYPPBl0GFdsdA/genf0MDxUFa+5kiym03ZAD0yhxNU1QRU4L3c/4nIKNNekLDECXyal4i/FUfb6nfLdm5E8O6+PMEJnkE0xKQkYEME6sA1f7+vMyiKwE+EPtLYJwIFHIjEB7vFIPwEajo7vbBlAQkOUdysqW6woqrPYyQAEslgzzjFZa1bYdvSDUdsSsOY4MlbMQanvEnRhLVupSVP55tqBwMIc4Q+tDr5LIgPBZ4Iy6mA7U3q34gpLCc5bvBGUe3p4wiS8kyOAVoJIZJ84I08QsGMNnLXT8nrgov7AR7s7erg2phZ/PbgFHqRs6YWnFRUXpiN0RrLek11//8zazuY2RlsgS+LhSUafPnHPvbjBOBqo7pWbgYvtmE/S9oiWmfEtUdrlxhvWCxjavslczXJnIbA4VxvI0ctOoDdALxRHtI+b8NpBHTJPeu2c7N+vOChAOR463lagXwQwzEBuTva4urv9VXlC55Afu/oPPw9ByusRjDLynXMe1HS8bSSwpwh4fat412jwH683DAFGav8NMtqMfE5mQGZAZkBmQGbgTM6ArMmdyat7+sxNAimnaK0UUMTX1xe9ehkr9B08eNDuq2L0HT67f7953e5TlILTvht5aPecJcwqAO5b7NzfVRnpfWOAO0aLYtupir8sE1677oTaLPqV84FZfd1ppXveeWIVkJJfgMtXbXZtBszhWYC2KH+8M3I4Vtf74WfV+Ri+5yA8qT3kEOW9w/FDUhIeLo9FQ6soEGsZgP8r5AjOKS/ETO/hqGkxJ++lLtC7kmQiC4IKKCysEqC7piof5ywzZ2p+KC0OMzyH22XWaZz+jRMgRfG6SAloxdW+pRhqqUVjow3l8MRG3zB8WBZ03Lfjff8cjNti3pC6Lj4E06LH4WhdV7SRBXfWhBRVmH/1KsC8lQbWFkDO0GT8I3oAFucL9oLdqDtaGHzTC4SXo/28ANZ66T9iJMhSYM55qVoJ5XvhpeooPwGkPBxaiNvXbTTSZJdnXsgcgyfKo5y+y/44Bq3CPUGG1HDgfJTi8pWb4KUYgjhrzcOCL8cNx71FsfaCPdfbDJDizA+IoMOiXBtK6y12pSSavtOfu6Su60AIwExNBvqECqYIa4iUyHMVZozflXaU70t9vhldIAIaNIc/WAGkRQJFNQLotHuTlwrLAlcR7GPDn5IqMO+r1bhn5nn4Ms/Tfn7YARIDKngcM33Ep6cA7zlYIt0eW4UHCnfD04Wvhi3QG5Uz+yN0ukFmhONk3tkmdPDMBpHPm4abfeunP++uRwo/cCLZjmZE/cKBnDLTILF9InyXkmCkLHEB9XxKXt0kaFlmg2wF/lFwRN/H9waulQwDs+nstuf3lQD5VUBzq6A+8tBZa5I2eVk6MK0P8MF2YLlBrUb1hCUrpduWX3YsMyAzIDMgM3B6ZEDW5E6PdTrTRymBlFO0wgqQwu5sdGM1EMohofcOn2Ob/G9rq8O1TAP9yEeMZUAe2sbydLKfyi4Bbv7SuNrJ/ecAd48GLOZq625P4+1twB9+NP86PQ9aWoHD7eogf53SvYogRmbA44bFyMgAYP76Rsz9ZAW8qzukvBzbaA3wwub+yfg+IBrfNwWjotmKAC8begdbkOLXjDHlxYitqoaPrQ21Hh7Y6h+Ot+vCcVQlg0SJKNY3eJtcHSs9spCw+zAenzAeLxUZ93Bg/78aa8Ez68WNe7arSB8p7RNmuHaIKOJT7lw5wSeFNuCF/esQXOLC3F09SKsFr4wbg78VR9p/SgPuBfu6Ztqx4EwggqwLZ17LSz23IWWnG8VWDwsemHouDkFQnxTpLYIFKSHAx7uFF+81kdV4bMMqWE04ri/IHIw7yxOPT47sAdabCc4QUGGwgM9L6Hr+I6yHEnghIKAOBXjgZXAWxxftB0aENOH9favgW66BHLjY1HWRgbgseRx2VQsPH2ehSEnx8jDzxT1DFSH+WbcV1+LxHWvhW22gQs8OPK14adwYLEKEXWLLKNDAvHEplLPCcazXDLTZwZ5wf4uhOiBZNKE+QGIIMF/FutDKQe8gwW4x6vtNYJLrxu/KDFCk9M0L4WQ0LTkofuLvKc7Fr/facLja2KEe6mvDsxFH8YlnL2TXeNplIM2oZdEvqVcA8L4DkMLx/DGzFXPrjiJ4fzG895bCQjDYywNtsUGoSo1E6/AYRKSGuNxTLn+55RjwZpa+oYzDOYNrBgHjOr4/9wdg8s1tBcAbW7tShPSasSNjGsxEbk41eqrXjvr36ncHRgEscrvyoPg2B/jCPCANLekxGvzQvD3uJ6y9mbnKZ098Blbmif2gR09VeuYtgRuHiZs7z683JgXmOGoewr+fcOLnIluUGZAZkBmQGZAZOEMyIGtyZ8hCnubTkEDKKVpAAiknOySQcnIzLA/tk5tfo60/tAR41wQJgKW2L68SpsU/JVgopXx7Wb0AZaj60KezL7W9eV6qnfE27IwDM+EoW/TnycDNw8y0cGqe5cXb+buAdUeB3cVinlQ2GRbVhhltpZi9bhs8y7oWkvNSY/F4TDoWuvDkYB2CRektLi4FazFG2P+aqjUIzivDsaQo3BU1DJuq9b1S2Bdvu1Pa6NwUYUT9VhZQ7KBcdcswsecc5YOY8VsjK3H/zs3wq9Ap3Fst+GbcUNxVEn9cjv2SAcDne7petlZYG4qMlJ5x+QqPLCTuOmx+A1iAtZeOwTU7hcSUOuiRPCpOSEFdcywHI9eZKzBWxoZibmwmDtYKVgq/w3EJAnxQ2Db8+exUoLpZGKE7rntaBBAVAByr1rYuULMybh8BvLpZzODtgBxM2mxuvKvHZuDqihRTOeSlZYJhnBv9Wd4P3o9hq/eYauPIsERMbhxszzPna4Sh43hWaHV4wxAb3tpmDGjg+6NixdlG4GK9jtUOgRwqLmmZtqvHQvbKHhVrxBmLxlXCeKmfYO0uVY39wv7CQ9tMXNanGSFowd4Wv07yYkbaIFg2ow/wloZkI/fdwxNFK9UldWipaoHV24qASD94+pr3kwGBaOqaESkjWsfC/5d7zN2Mp5zV7d1osvXGFmCDcb8mO0rFg0FLvos6l/w5EV2zwQ9KrfvJD+fqwc5b4SH09FptrxNnb1GSLC5ImA8xkkOA/pHApHggXBqHm12yHvf8klzg2/3CRMlVkPpHs/i4YPHU31eIfwyaje7yNjI7Tvm8zIDMgMyAzIDMQDdlQNbkuinxsttOGZBAyinaEDfffPMp6emNN944Jf2cjZ3IQ7v7V31/GTDrPXOXcznqX44Ffp3p3vjplU7JoAV7hU6/Wsv/0gFCnokFYrV82N9WAK+0F3Ude50S3oCLW4uRUl8DL1sb6jw8sSswFJuCI/BFbocG2b/PAy4a4N6YT9ZbzAEN5V3J/0yMb8PvavdjyLqOSueh1BjcETYY2w2AG7zxzuK5FphCNgPZIo6evsz92vp1CMsV1db81Bj8MTIDP1Y4N1JnEXxykvDhpf8Dg2VnSpSvOwTsafeBoMT9J3tc1/GuCq/GzysPoM+ew5qyZvTE+DqxDx4tje5krE0AaFCUdo1UDZ5oSZmp13iBzy4M2nbA/LIHeePAsGScW9zvOBvFsZF5yU14fOMqeJWaY3iwnVfHjcZjpdHHm6S6DsErWhEoEeorfHzz6KXSS/h4EKjkc/tYhHfSLddqfGKH58Y1GcCuUmGePiu0Dv/M2YCgUmNMoaqoYLw/YRT+tsv5ftFKLr/9ukbhUT00qAlPZa2Cj9k8eVrx+8wJyPcNsis4KecLa+iUsgr0EnuP8lIE1lhzJojrzNuD46SMWn6lDZWN2kDK9IgGTGwtR2BrC1osFhz19se71aGYlmq11ws5Bi3JOXUO6EHF58g0oWG8Qlayg6ox4kmSKdSXufm9mfFeZhv0EaI9gTJf1sK5V6jAYyaCvW14bmg1nswLxg4d+TKtdv+dXIzzDwlaTJO3J3ZFROAvNXGY3N8TvznHzEicPMtDjZqVdLWvUNHtqL82vY+Qt3IhIXa8VUpkEWliMb+7Ym8J8Hm2oA7qBTfMlCTxx1WhxKnf4RYms0QNiOi1qfze8eBkkfr24UBSuPMWaOJDk3BX5uPqt/nHX9HN46F1qBKIDQLmpQOJxpmRRqckn+uGDGw4DOwsETdH1IAK9yb1HAme0UQrRPX348lVHeCamSETyX5kAuDlmhlppkn5rMyAzIDMgMyAzMCZlAFZkzuTVvP0nYsEUk7ftZMjP8UZkIf2KU64Rnf/2QL8Zbn5cYT7AktuAMLM1UlRUAP8aamQDHIV1w4GHhjXYQ7PmtidCzuDASODmvBgWx6GZ2t7gVTHBGNZSgoeqo6HxcOC764FogPNz/VkvfF1NvDoCn1PAvbfP9yGp1v3YdD6fbD5eODXoyfh02J/w0MjYMILvhUqYgt/xqItjai1YrH3TqRtb9f/AVAfEYA1KYlY5BuNT0oDjwMYNJZPCBHFacofaQUZKB/tEg7YZGWojdKdTYKMgivDqzGtvhh9bfXwsthQaPPCCr9IvF0bhgKVPJnSBiWrWFzmvnYUfGQNkDJik8MaMM+3HLWVzWi1WHHMxw/v1YShsKGD5fin8ELcssYNXxBK0uSW48Yx52JpsTaD57aICvxh9SrDa6d+8PthA/Cz+tTjP+KcyOxylPLSY9xodU7lHNZWlUI9s/HzkcAbWWJtb4mowG+ysxCoA6ZURwbiH/2GozQ82A7eOfpFO5s45cRYr35vh3ji9QGlmPHFWrfy9MnoIfgsNAEr8gVQwrpxS5vw7GbdjpfeuVQ0hucZ5kx+i7JjZDNRHYZ1bMe4NqIKl9Udw7Dsg/BwoMwVp0Rhd3I8HiqPQWWbhx3AIFix+VgHu45G8wRJ+A2REcKx0U+bPyPww7Vls5TyctzPfcOEr8lXGlJ2zpJGTCAtXACNJLlxfvw2X9viVprx2PB6PLzF5B+B9q7ujCjDA6vXdOq4rXcwSsYkI3p6gnsDUt7iQpPF4YrGmBwMxIeI5GrdjicyTCRyQm+gT8RPG8+JeHtvMfBjnkDdtQAS9kEElZuJRkykK/ED0FK+JVVQTUkyMj5qBhJx3FPSgZTzPRa8L8tw3cLSg8Bnuzu/5/gGi+jMN9vXoipOSgKuGmRkpPKZ0yUDNPfaXgg0tgAWK+wmVOPiAU8NE75XNwpU32zwoL93rNm35PMyAzIDMgMyAzIDZ00GZE3urFnqHj1RCaT06OWRg+tJGZCHdvevxt9WAq9scm8cS64XlweNBov4v1kMfG/woj+ZC3+c3MFM4a3ph5cAKw4B40Ia8FTRNsQeLNbtfuOo/lif0Rd3ZhqX5dFt9Cc+QDmv6z4XhV2jMTOpFa8t/x7b0xJxYUO6Zn3MVVu8ec7LwQRQ/L3FhWwCW87i4Ygi3L56Q5dftwV547Epk7Gzztte6KU3gp7iBkGRX48FDlYCn+jU07TGw4IxQR9egGatkBeWWaTnJWe2zWK3j6e4Wc//mwCDo2zQ1RFVuNVWgOSsPHjWdZYVKU2MwLKY3ni2OQYH6zzRN7AFi4+sgoerBGkNtF3b//5JU/FxoTbQdU94Ge5f07mAbHQPrBraH9c09Dv+OD0yGFT9IVCgBAvmrLUq6jh67bN4z/1BSTZ1UHKKEm0EN+qagQvDanBT41EMy+6aw5ZAb+wYkIRXPOKxsCLA3sw1A8X3Tk8a1shY0+WeoWcMPagV0IaAwlUDgf9s7ej9lcRCzPrODTCLzI1JGXghQMiKUcbMFdskPkh4jajBFF5i5lK2tQlpMH4zavk0tvtwdAlu2rwF3pQvchEHBibgTt90RIR72b1suFfJ+GIeCNB8vEtcuKenipna9o1DgQ1H2tk1BogK/HYyooTUmGJbQeJCU5t73uuc8u+GNOGJbfqSf1rpuSWyEn9atbLrrzytqLwgHSEzk/W2rfbvWYh/aYPror3ypkKZI8JVVgfQEo8/Y7Io5zWgg/3l3mBOwls8xEkt48auaxEHHheVHxkPQMWshptsbLz40CodDLBI22toFX8EjARzQqmlncVA3/DOHitE/W4fqd/K/7aKQ5ysGrWsGA8fanoS1aPWp/ogU7dKSbK7RwJBxi8Q6A9KPnHaZID0XS0DNL0JkLZ5qQ7Qp9eG/L3MgMyAzIDMgMzAGZwBWZM7gxf3NJqaBFJOo8WSQ+3eDMhDu3vzz94fW9Hhg2B2NN9fD5ABYDTcMY1/eQ4wu6NuDNa/Vx60Yej3Wei144jRrlFzxWAETukGo2AnIyR4RRDLTLDO9L/Eo9hU64tnSkwkvr0TyiaxDRbLjXi9Jvm34qvCtQg52rlKu2VYX1xcn2Zm6PZn6Uvc1GLuBr26E7UfRIiPKArTh4JScZQnK28UBfrDVcCAcCFnRil2Sln9LqoUt27dAh8+7CL2p8XjvsAMbKvxRlb0boSuzNW+0a3VBmkP+ZX2IuGvJp2LTwu1b+rTA+YRrQKygYx+Nzwdt9b1Of4kASOCKCz08xK6OmhGX1SrD3Kxjkm/isX7tdV3KLdHVsfeMlFw5yX/qeENmNVaivCWRgT7WFDv54NPWiPwVYFPpzHwgjnPiHWHOxu5sy47IhYgC4X13pRQIXGnBGvDf48txrwf1hvIStdHvs8cjKc9E+0m6ATv9IJAzkVkw+wU7BXKfyneKhzrmPjO+f1FZAV+u3k9POub9Zq2/37/0GTc4ZuO7IrO3m5q5hDlw4jJ5BoARa7IsGF8bCseWOZpr2t7W117wRBYI6GAkmGc54e7ABIuCFCS+UKGijvx0Mhm/G2Te5I5d4SX4/drVmt2a/P2QMmVwxF1jkkjLuqhPbPG2KIrPXMT/mESENR577qTj1P+TkOzQDj5h9wZ+4YACDc4wZSqBoCAK1krRFkpc0adN1fBD2BojED9CXLwgybgoQQ37h2j9af+5lZBCSRqWdJumkU00f6BlDtn2ahbviQNmNFXvy/5xJmXgfI64IWN5vx2aDxF0yUpCXfm7Qc5I5kBmQGZAZmBE5YBWZM7YamUDf2EDEgg5SckT756dmVAHtrdv94vbQQed0NliMXPlTeJYrWRYL3n8vnANhMMDLZ7QT/g+dnC4+F40NjlXyZv9FOS5IHxgorRA+JnXxpn5qiHe11qk/1C78pS8/Ng/YtFVz2vBnV/D0aX4Pa1G2BVTE8APD0+E8+UmJe64e17quSwWO1OsP7myApgO+elAgW0Q2jfW9H+QHi7As25ycDF/pU4f/F6eOowB5QxZacn4nrvgfiHdx6mNpcJnwUteRz1JJJDRRW8uA71EYG4uM947KnSkCehTFtQCz7NX4OgIpOmFAD+PSET/yruyL1SiCegklUIO3CgDgIZrBOzgK7lLc0aK/NFnw0tC4NpyeKCOw3OMyKAaX0IztjQ2maDxWJFfDBA+4aFGlJ9HBMvvBPkchVcI0r3sQ8Ga7xXxtXjisZjiPo+2xizwKGDD2dkIis44jgoQasFKsjQE8VZ0EuI6kG8wO/IDMmM7wAbKAu22LYVybvNoQ/Pjs/EUw7fDQkDZFYpfihUXIrwFxJ5WnVxbjNKeo2PacEt73yL+y+Yg493W+wEioHRguVi935pFEAJn1eYWmSN0bv5632iHn51BvDBLlHXJpDiTC3K1do9NqEV7+/1MMWsU9p7LiQfc9dvd9p844g4+Nw63NxRsasIeL4ri063ERo5Zf5EOTHdTk7iAx/v7Eonc+yOiGmEnzBLIq2PCCz/716BgppY1g5uOJ5rBGHI8lEOCCKNe9s/Vj5LitXPR+lPbtNRobnoCMTov9nxxORE4EoX5vZm2pLPnn4ZoFE9NRC1pN+09jv/ATlTAm+n30LLEcsMyAzIDMgMnMoMyJrcqcy27MtZBiSQIveGzIDBDMhD22CiTuJjLC5e+IF+ndhxCLcMBf40xfjAlucB139u/HnlSeInX18tVEWOB7XWv1O5axtt9tYR4hq8yWBxshOQY/J9x8dZNJ3yZocCi5nmJie0oazGhu3lHmZesz/LQjFrWCxYG/Wt4IXlZWOL0evDLcdpLA9OnIz3isybzbB+d29aPZ7Z456ngjMghXNTm26rb/mT2bAI25C665CpfL04bgwOWf3w9w0rgX4RQHWj9s1tjULkjyPTcVNNB2tEq+PXgg5g5kaaxhiPkuRIzAoZjeJ2LxdeBLdfJrcJgIBWBbzw7Wj3wLxz2xP8pPG8r4dQAfLxtGFxrqWTb44yGvpVs8hPOwaa11OW62hVB1vixUEV+NXuUHs9S8uPhT44VBkqdmJs7zjriQlAXLAAexIbavCz7VkIK6gQuVcXbQ2kqyYlAr8fMAYLDlg7gQOs93LeBCKdSdFRTvDddo8WdVfqOd4cVYU/r15pGnnYNSQF5zdldBoT2SCZ7VYWSn/29YoBfL3EejF4DlqtIqcp/i14xboX/rWNOBYXhgfrkvBjnkCa+S6BKK4fyTKcp1JzPDfJhn4RFjtra0oy8MkuwUzhN04Qxpm/kbOUZ0Ta8KF1N16JS8PzW82dR/F+rVhYsh6hh51LS9l8PVHyi0xE9Q8xsOrtjxgBFLRa4x+YOw2wKoyP5NQ+SfTsmbXOZbEcR8OPW01h4wfOs4wIm/LHjvRFslYcEVhHIIXaf/MMSCcRaP7HKoAsAZPf9PHhS5+UU7uvemJv3+0X//5zvDWgHiv/2JFmqaYz98S5yDHJDMgMyAzIDMgM9IAMyJpcD1gEOQRIIEVuApkBgxmQh7bBRJ3ExwgS3PsN8KUJw2IO54NLgXNMXOD9YAfwwA/uTeS/c0WR2B40Jf3jj9rmwHrN0xDgCmNmtazz/HBAXPJlAZmqLyPjgJl9hMwP//90d6OwBjjvXaBcZfxutK2RMTZEohnfFphnpNDzgRePeeudTAFKXrkK3rx/brZgfICDpinzynw8MGA0PnADSGGp99nEItybb953gMVeSnmRWaEV6pv9ZELQi4JxbVQN/rZmuTbdwsXkswcl4SLbIHyN7ei7M19Um3m9X03bYNW6tK4zWuBpxe8yJ+LDYtdA0/nhdXh6xxr4VBvfBB+NG4HflgogkGtz/WAht0VlH+5HAh4sonOZ1h/temmXQFpKGHCkHRC5sG8bKpqsdlko+hfRboFAA8En1jzJlFATcQjC+XmJ9q/v14y39wlJJ7I1uC4KaYn1V67H6sPGdjUN3yk791k2kObThFcKNiFKKbBTe4q34fUYQaquPh87BL+scH44DYwSGMjukq7joxwau3OUvqOsHOvOXP7/BuRi2ubdxianfsrbA7eNnorFJZ0lpJhXXvoP8BbAiVLH5lHnuAbpAc14uWoHknOOipYDvFAzMg4vRafh84OeOFzd1Qeqd5ANU5OB24ZbkBTWMaC7F3bI7E1KBJbnm5vSvX3r8JsFP+LQ5cNxaU6c7nmibv0PUcW4baW+bFvJrAGInMsDyGC8vME87ZFNUyvwr+cCZG2crkHGxxtb9QE+fqDXDgY+2qVNU3M1fy8r/jfjHGyv8cbA5mpMayxG0tRYINUgQ5HsPhrPZ6sYLWbyzT9GFw0w84Z87WUuCwAAIABJREFU9kzMAPc6D/Cc0s7/kCFIR6AvPQIY3W4gdibOX85JZkBmQGZAZkBm4ARmQNbkTmAyZVNuZ0ACKW6nTr54tmVAHto9Y8Wp8HHj58Z8Mzhi1mAenQx4mbiE/N524MEl7s331fOB8xR1BmrWPPi9qcLq8V5Z3b1xmMtBVDYIGW4qkDjzvB0TB/xxEjDYpHy/0nFrKzD5LX3vCq2BTklsw5jaMjxRGmk6mepb9WQMeFo6F8DVDdJnmYovrEnwYidv89ujuBZ/X2PFywe0WSWUEyJTghgDgxelFWmneP82fNm4FVf5DcG+GnNIFMERyno5kx9i/ZN+KSx2q/0sXg08gPM2mWN+2AfuacWdmVPg39aKv+zeAH/qsxuI78cPwe2lCZoyWY6v/zmuBDeu2QSrluaWw8PrxwzATbV9UNtisUs2EROkRJsjvsAaKX+XHALsLhW/p+wT7RHoTc09TVN5Lg8lpAjEkCFFQJVgTLgvsGh/h4WB45gVTyR6Wysya2RVMOcKeMXvgzJjRtRX6EUyN02Y2TOeDjmMS9dndXTLxtOjBHpjIPYMTMItnuk40uD6cCKYSOksXrhXR7A3kBAiPLXVQeCKPjSUwPrcZzeGb3ODEQfgkQmT8FZx0PGm2d/wWMEe4TmsXk+CK/Tx5toQlJobVYf7C/YgKUcDTQzyRsHsDLyJGByssdr3H/dCUmAbLrUUov+wcCDEt9Ocfv8dkF8t2ueeYnx/wECSyQBLaMNTuRsRmVtsR98+u3oK/rDa0+UlcaXlyyJq8Nc9GxFQpqP5BqBsal+EX27Cj+mF9V0Xz8iUqH9HIIUo4ukcOwqF9JEzyhWR1gvTBCr9+mZgsxNk2kkOdg9OxvnNA4+fb/wubkpuwO1jrYiMMgjur84DFuSYv0nAg+z24UCSeX+w03lJ5dhdZIC3XOivwwOUf8B42UH6ocgtIzMgMyAzIDMgM2AqA7ImZypd8uGTlAEJpJykxMpmz7wMyEO756wpL4nes0ho67sKGk8TRAgzqc60YB9w50L35vvRZcBY5XIhr8o/9INbvgkYlwBcN8TpIDj3h5cAX+7VHyctV16/UBQ63Yk7F4haktm4JbUBVx7KwZzmQYaK9Ur7LJxz+kqxmz9njfrXmQJMoUoGb8IrEkLbCoRc1PToRvza4ygGlJfBamuDpaIBqyJjcU1tZ91x1i8ou896Bm/RK4AHC+8EZKiMNb2tFLfv3Ibnx47BcwcMmuu0T+CaQQKUOa46YwVolaOWKCMzgsVoyljxv4z5vtkYneVGogH8efwELKgPwS/jKnHR+iwEFVU7Xy6rBT9kDsI9lQl2sMNIENg6z1KOi7OzEZynfUO7KcgHywan4TdVvdFks4CAEhkoemwPmounRQALc4AJCcDGY8AVGcDOIiAjWvxXMVNXj5UAWGYckBzWAW44zmV2qg1ZRRa7r4kSg6IESYxSY2pGkF4eKKX1/k6xX6J82/BtxQZE5DlQRcgGIqJHdMMZukkPlKGp+JUlFfvqjJmfa0mS8ZsgaMh8KUFAg2BHXCCw9jDwbMNujNjuHpDy18mTsMMjyL6PWbsniPGdDnjh72XDoymVuPz7dbA4MxTnYKnnRbqNWrKJm+CawV3MrJ5f14b1xyxYkW85/q3GBgJ9wjqfEVrrNy+mDr8KLETvvQUdpuPXDsb7wYl4fQuQU6696szt7VEV+MXubQgudvEtqV4vmZmGyItNeBwQsV9pklrD/jjx+8fpbdfT4/dERkmp3F0sEFQeRwTRyO6iVJ4CFvGPPmUyVf5XLifoacVTY8fi2ZKuQMbkyCb8a4YNUdGd2VZO23tvG7DSnNyinfp2g+uLEKfHAslRygzIDMgMyAzIDMgMyAz0nAzImlzPWYuzeSQSSDmbV1/O3VQG5KFtKl0n/WFe+iaI8M62rkbHo+OAeenAhf2FBI3ZKK4VclalGn62rtoaEg18PE/4BdiDFVfeOtbS5dEb1EVpKmpL14df3Cgk3I0GQYJPLu9y0dvQ68zxwz8aevT4Q7z9+8iQekTlFOK7sDjMzze+ECTj7CjqzDoii+PydFHIdgwK3HydnI+MLfthoQYYi3FkBuwqRlOwD27ImIQ15aJ/MkEoDeWsgMpnKDt1X3oDvsy1ohTe9iLyDodb/86yQTUXeuwoNWSaoxPIY+GXe5G/YxFf8VBRF/I/9snGmG3uASlvXTAB75SF2FVoxoU04kpbESYWHEHEoQ7QozXAG9vSkrA7thceyQ1xWufvkl8LcFF/IWeVGtSGeyPLMKykCCHVdbC2tKI+wA9HYiOwKigKm6q87fmLChBMKaOm4PxmqTzGfNAX4+1twE1DgXe267NFqHR08QDgTRU5RJlDYohgHNFrRB00tm9rE/V8Mjf0gheIKZm15KB48vaoSjy8cqX2a+yQxW5uWh4mNMYmfSPIG7aEELyf1A9/zQ9FnUEQi530CRVsnMOqmj5tIqgOs6/duoOAVEwgsPqQ6I6slAeacnHOGvPSXm0+Hnhy1lS8tMfHXsvmuihz18sVv/03AvZj/IY9rh/lgbmjCOXx4VgVG4+MaTHok6A6J7Ycxv9Vx+E/Wzv7xyiNkiEzpJ0FQ7KC8s1xvFeGV2NmXSHG5uTBp6pBIKdRfsCWQjGZa4egsBr4ZI8AMsn2ISsp1q8N57WVYlpFAfruOWRcZs8CFN80GlGjTUgBKobmegl1/P0VA4VxzNkUB8qECRL9JtSShVo5sFqwYPxQ3F0c7/T8uS65AY9d1Jn15DSdG48AX2Qb/wcBP0z+/R4VfzatkJyrzIDMgMyAzIDMgMyAzMBJz4CsyZ30FMsODGRAAikGkiQfkRlgBuSh3TP3QX4lwHoUi9MsoLFexqKsjzk1pi6Te3ot8Mw6c3P+v6nA9Y4kkrWHgLe2mWuIhdiHJghHa40oqQNmvmO8rqM08fxsAS6Zjfom4KYvjRWclbYv7Ad8ux9oahOm8SyO089BL/gs68+O2BN9Z+jDoHUxeEnyQaT+sLuDAUDKCQ1W2mWolo3NwM+qUkCP5qJa4IiBC+bhPsAl6cCuEoCMHrJXXN3GJ3ZDH2MWdMmYoX8F5eQ4DK4X5xQfJC5Zs2jLG++Um6J01Yr2S+kvBeZhziYN93C9pHlZcfuYqfi2pHNhsJdfG+YE1sC/rQXxIVZ8W+6HlkAfO5OLYJIzRR3H7qaniPVbvL+znBPBIYIY9M/hHJX65r1jgNc2dwU49abxyzFiXARPrswQwI2a1MAC/bzwGsQ118NqsaHawwtf1gbjcL2H3XuarA3WOx2De2fJga7SYr0CBNhAeTC94Hg+z+4AdX4TVox71+r7ZtgHRrSDUdOE7dHRuKAhXa87zd87smfUEnLc8gSFCECq467eNfjdUvO+O1lD++CihnQ7IKP2XDE68AnhjXhz+wp41rigDXpZcfCiIbg6JxZH66341Vjgvsz2HpYfxL+sCXhuk4eu5QyPS8r7nR9ag8wD+QhvbETcvmNdUby4ILFh7XSTUR2afu1dNjQBvt5Ay3Pr4GkS/G5Jj4TnPWONpkc8V9duaF5sTIrP/g7/yP1hEkC9um6KtuomFGwqAfIqEFBVD4/mFjT5+aAmOgjB6aEIzTDoQWJ0/N/sFQc/D4eB7Yc4D3KNqI4Oxldp/fFISS+XQDH3zII59cjoa5CuuvSAAHH0zMIo6UV9ySmKUZrRScrnZAZkBmQGZAZkBmQGZAZkBvQyIGtyehmSvz8VGZBAyqnIsuzjjMiAPLTPiGU0PAlKMV3/ubGiOxvl5erXLhQ3wjsFdaIeW6GvQ6Z+SUfWa/4u4DffGZ7K8QdZ33n1gi71Q0MNrcgD/rRMSHzrxYgY4G9TgNpWIb1TXi+kgVi4/3qftjqLYvpd1tAVcDk3WUhw0YBe8bpQxvDv5GLMXboJFrXJBR9UozYWYNHEYXjDM16XfcCb//HBAgzZqjIwTwkVa0wD809UCjOsm5FdQmmxDUcE+4SqNFTscaZCE+Vvw7QUC+bvBhKDO5gGl0fW4p/rljuXhHKS+JzhyZhRP9Al+0NhwLAoTqktMnNYE3S1ngo4RDk1Akm8ZE3PZ63g+sYGwW4GT9+R/2qwQ/T2zcw+QKgP8MNBIXnGuiUj2qcNdwQUY2pFAVKy2+kj7VSXit5hWBHbG++gF6J6+eCrfV17mZEizOlZPN1V3AFAEuwimEJJMb24JE0AO0r8MrwUv16zVu+1Lr9fPCIdt9X2Mf0eX1DWUHlZDcLRoP3HdraMunHW3b+xbEPfneakiZ4af85xWSQtWTHHPghy8ZtR+6Z85L8XY7doLIjq5drxScgoGWT/SaQf8O11QOTOI8gpbMFNRYk4pGFI7yx5HMMiWxb67D7sPL9E2Skh9bPhQJC2tFPZtwcR/oUG9c3FqpXNzUD4LDeK5xtpur7FuI8WqZbnqvZPYRWw/phgPZFi5dl+m2B8POBtnAVodEMWrDoGnw1HELZX2weo1c8TBWP7IGJiDHx5IPyUoC7g8nazd24sasvxI6ZJDs/71jY7elvn6YnDXn5YGRiF95sjsLfa2C2K+9PqcM8sE4AUL0VQso+HiKNsHSX96OVCubrMhJ8ya/muzIDMgMyAzIDMgMyAzIDMgJMMyJqc3Bo9IQMSSOkJqyDHcFpkQB7aPWOZyEqgFAuLhjmlQH2ruOlP7IHG1ZQUOlFBpgu9WPQYDDSDfvo8UejXDJo8vLxRX5IEQGNUIA5eOQopaQFOvYT/slzIJpkN1qDW/QyIdjNHq/OB17YAy/K0p8JCJqWt7hwllLW0gvJL3+cKsgjrZME+wkic68p2FTyEBWA7q8Mq1pt181/2q0NJSTNaYcH+Nl+sLPNGVvB2hG5op3SQ9kFfCtJaFL2j9kHsGZyk69VCU/uyOiDXQQZKPQ/e+iegQKko1vVY8H9hg6iD8pI4u3YEe7TyQOBoZiqwKEdcYCZowPX5xnMH0nbkmVraj8/LxN8LI1xK0VGynxJWSjGeIMmVA0XeaeKuNiznHOmnw2fWHxFrMjlJ2BhQEov+L0qOWDck4YK16UOVIv29/IHYYPG/k6FjxMidEyZh4IJ+QIg38NxGsUf6+TfjmdZ9iKqpxY9RcdjsE4pKmyf8LG3o21KL6TWFGLA7H2WRwXghbQhyfYK6SFCpAYjB0cLnl0FgjwAZa9l61gsXpwlGihJXRNbgybXmmR6LRmTg57VuFNwdgBTuu1BvG5bkWexMqyNV2pflOdcHkytx7fKN8KpuMLSvsoal4rqWNFQ1W+x+yM2tXc9AEju4F7jvCbJxH3HfsI5PogWBz5/3rsGDy1a4BAabRsahX83w4+P69HJg5MJN+EffYXgxy7yZ+iPhRbh1zQbn8yS9jJt2emoHU8jh6ZamNrR8tBO+PPAMRENmIjyvGghPoojuBFHqD3bogynn9xNyjzznjlQCKw4JfxHS3tTBD7dvOJAWCczp586INN85tvIYwhfsgk+l/j4qGJmEsAuT4RPteLPA4HC+2y8OJc7PMRTpPM4zrxK3ZU7F4kKDfieqtkZGtODT64yBLp2GsKsIoLaoAqYQROHHQEMnGTIDMgMyAzIDMgMyAzIDMgMnLQOyJnfSUisbNpEBCaSYSJZ89OzOgDy0u3/9CWzQF2Rduzm344iookN5mKsGCVmlExHZJUJHnz4htc2dW2R/NwwBLk0H6MXgMqi5878t4mq8kyiPDcXjyYPxQVkwxvcGHp4kan6O8eAPzs219ea88iYgQW+sOo18tRf48QBQUCuKprzYTTBrVl996X6yNubNBwgk8GIxwRRKQhGAYI1TuXhM4IQG40l+LbjOuxTnVR1D/J52RAVAS4A3jo1JxraoXlhS5YfiFg+02CwI8GjDEP8mXJy3HwlbOgCJF8aNxROlzpAuIfFUWItOpuTO0sA6JuWiKF02OxX4pl0aikDeUhMYiK+nDcN6WexFZzIKFucCP4+twq82bzBUrOT4tg9JwfW2ARgYY3XqW02Ai6bk648KIIXgCEEcyl1x3VhsJ5NG8TPhf49WCVk2XnTnRWuCiZTvYtglysKBhGDB5nDmJcQ80TyeQI3a7N1ZXslqYQ5ZkKcXTqRPG/7rvx9rvMPxYnk4KptYOe0c3EfzImtx17FshFbX4tNJI/Hn7Z1vmTtKYsUECJBuQY5QSiKDSs8n5dIBwKcqyw8CfIus29F3p7FiuzLqledk4Noy94AUZR59w8jesGF6ryb8bauP3fJDkYdTZ4dzpFH8jkLg4fgyXLl+i+6+2jEkBfd49Edunaf9G6UVB0FrtdcNPYwIcmVpkxLs68dnvCxASFUNZjcW4ZwDefClCY5DOAIpqyeXIv7NDbj13PPwXW7X9dY73waHtuCr3UthoX6dsyCVZ26aSwOtupoWYMFe+K/Kcw4EeVpRNy4Jbef3R2CQGwV59fjIcuCHyQNSTevhM6TCjekt0E2CCLllwMJ9QnfQVSiUsssy9NKm+/vqvWWwvrcDAUUGdBHbWzs0bQASLkvVbbvLA5zbtzn66CY3Wr9wXOAzFNvLzeef59jKG22wcqPLkBmQGZAZkBmQGZAZkBmQGejxGZA1uR6/RGfFACWQclYss5zkiciAPLRPRBbdb2PtYeC2r40pZP0qE7hntPB1OFFxuEqYOLOwzOIkJYFYJI40w+4oq0PztmK0rDoEP94oZliAI31j8WNELD5oicT2asWpXsiEvX4BMLhX51m4y0hhvYiMlBPJ2jGbX6qx3PylYJ/oxdSQevy1eCcSDnSt2C6ZMQIvNffC+mPaixztb8NViY24Z/kqeJc34LcTp+CjIu3FItBAIEWvmK4eLw3VqRJEfOxYTbuZvJdrE3ut+d7cpwHZ5RZsqBQFca55eGE57tm5Ff4Vrr0Tdg1Kxr1e/bGvzsv+LpkwWubuBE/I6iFD5LIBAOXT1NJjc/sLyTWyHHi5mjVo7nMCIWQvcUyO3iOzUo35PnPOlPoig6dIxwqC31QaAbUAAV4+El+K3EZvvFuiLxGUEdiMF6t3wBYZgKmlHUZAHD/l17IdLranRQhfJQI8zA8tMWjB4CzISPnhgHhHiYcji3H7KgM+KapGV0wajD82JrpkPWmNgaBt7yAgyBdoamrDb/wKkLlqB/41fTLWV/p02bsEMghMke1VVCNM6if71WJufQEy9uTBi3p7SliA0oxYLAyOw7O10fDztSIpROwXgpvcG8q+ojQcyV5GbD0oycfvg+s+MbQB/1e2G8n7OqPgNROSMbB44PGhZPfeDd9V+bh6/EysPmy+wE2G25ry1Qg85FyDsHVcAjyuczSz0l75oqxSBGw/Bv99xbC0+2PYwnxR1y8KtYNjET30BPuBkNbF/yGNi7cBSNMiLYgAihKvbxIos5Hga2SxEDj6CZH/+QEkLnai6+ek3YbIQLTeMhQBHL/RWJILfLlX6B0aiSh/XDtgIlYWmQdSBoa1YuENJ+jGhZGxymdkBmQGZAZkBmQGZAZkBmQGflIGZE3uJ6VPvnyCMiCBlBOUSNnMmZ8BeWh33xpTtubSj7sqmLga0b9nCQmmnhbPrwc25rdibGAjvNraUGP1wH9yfe0yOloxMBL4cF5nOf/P9gD3fWt+Zuf3BV6YI4Cg7gxeOL5joesRjApuxAsFWxFzqOut60WzRuPBgiiU1etP5Lp+zXh0xTLcP3Q8PivUNhZmcZhsDRaOzQQBCLJSWPPU85Fw1m68Xyu+rNuCEm9ffJ+cghxrgN2L4/ywWlzZVICxB/LhW65CICzA4b6xWBoRi+fqolHQKAqBZPeQJeLIEmD9lYDf8nwgNVTIdTW2Ab2DxYhYbE8OBg5WCVaDo/Q/a6AEv9TG9JQJ21ooWAlGwwhbh89QZosKRgRS7kuuwT9zjUsDsVj/6uGNuCNxFJaW+dqH5mpdHD1GmDsCSM5CzT7iM+HebXjTmo0hWe1mLjrJKEqIwL0xw+EZ6qPJIHH1Os+yEB8bYm0NOLfoKAYsb6fH+HrinqnT8WVuR0GYIBcZcj/kAvs1ZOpGhTTjPM8KDAxsRlGjFTta/VAQEmJn6ExNAXLKgPx2nJftUMKO68/9xTVX7wW99T83RTCfGIMCm/By2bbjwKjNzxMLzhuNu3aH239P8OYHaxa8Nh7GtVPmYOUh/e/bsX+CZquLV8L/aPsENAbYMCkJvqQtmoj6mhY0VgiWi0+oD/wCzRfuTXTn/NFlB4RRkSNrxVXjRChvHSHMn9wImstXvZ6F0H1Fpt/OnzMQiRckG3+PEpiUzTIRT86YhOfz9cFWxyZvS6nHH+YaNJs3MR75qMyAzIDMgMyAzIDMgMyAzMDJyYCsyZ2cvMpWzWVAAinm8iWfPoszIA/t7lv8t7KAR5aa65/F3rcvEdI9PSVYJCaQQul35XY+2RCU4LFahQeFlkzSy3OA2Sqpez4z+10hRWUmXpwjitTdHSzMvrIZ+PtK5yN5N3A/JmxSaSm1P5ozKhU3IA1HTJhQ/y6tFgXlbXirSLvY5ij9ZDQ/g6KAqgYgv53VYMQbRavtL7x3YXBpCd7IGIy1XqGdJI2GhTRhprUSQa3NaLZYcdTbD++VB6OupWuRWfFBUfdBzxoWsukBcvUggMwqFsLJEFGCPiEEViizRmN5dSjm9OqfuQInyJwg20ORaKOSHeuifUIBegmVtAMVBPPIcmB/CoB11UBgW34zHkypRkNzGx4+GI6ienO0sv9F5KM6yA/PV0fZB8FL/TuKtVeU+WL/ZMCk2uWyRJ4IKNHzRR0cO0GG/27pDDal+rfgmbZ9umBKQVIU/hQzCIsq/NE/Qly4V6+Bqz1HRhBr4QR6ogNs+EVSHX62YLnQXgPw93Hj8J/yMIztLVqhVNnrVBF0kCLU6oOsEe6H2EAh8ab2KVKeVwAnNfBk9BthuwEqptaN0dX4y+oVdj2/1hGx6FM74nhTbP+1yiz4rT+MX5w/B9/kmAdSJoQ34d2spS4nXz4nHWEXqAzbjU6mJzzHDcg/JGaD6NrcAWbfsj9ftqMM4S+ucevdI6OTEX9zB+PIZSObjwI00dIzLHJoZMu4Abi41JiEWIi3DZeFVCG0pRmXxdSjd5ANOCfRrbnJl2QGZAZkBmQGZAZkBmQGZAZObQZkTe7U5lv2pp0BCaTInSEzYDAD8tA2mKgT/BiNjC//GNjupBjqqrv3LgHG94AaCQvF724HHl3m2m+egArlhfY7qNJc2A94bnZnJsmrm4DHXAARjnlhIZjMFkrf9IQgy2H+buCpNcJrRR28Mf/u3hXwrehKD3jy4ul4fre5SWRE2HCrdyF+fSxGc+paAISRHBEEm9MXdgaJ2tDcyLvqZz70zUZmUwWwpwT3zpqFL1TsAqNtseQ8Jh5Yd0S8QTNwjomFcbJMrh4ovFxcyVfxHcqVfd/OIGA7jvMiCMA2ihzWjGyFXoFAWV1n6wYyXujDTOCEviL021CCIOeoOPHzdNRiem0RMrLzEVBSg0/GDMWvK9uRAaNJADAxwYbtRRY79YYMHD/vrmNSmqNsFc3nKVO1vQiY2Ud43BAI4rgVMIgSgXtKBMh5yzDgne2dlYfITLktqBTTqwrRf8+hTtSmwr69sDMxDq81RGJ1qffxmfBbp+dMnnPihP1ZAij0DV91qCMJZBndPbwVqWVlGHPsGLYFhuGTkAT7utHLhRJk7SpUhjJ3eQZAvJl+N1Uq6TLlZX4fnD/ZSWQimQ018MY1/xbbkFJYgqVjB+Km/UK3MNJfqFi96ZmN8CU5ePmamfj7pg6ZQ6N9PhF6BFeu2+r0cVuIDyruGoew3p19dIy2363PFVcDT693/RE7GyD9VW4f6dbwizcUIuqNjW69WzAiETG3Du54l0Znx6rFH0LS6IhGx7YzZT7YLqhzJqPN1xN3j52CBQXi7wLPk37BrYjwbEVxswdyqj3Q378JN3kWY0rxUfTKVTFr+DHxg6fhEzUI436igZjJscvHZQZkBmQGZAZkBmQGZAZkBoxnQNbkjOdKPnnyMiCBlJOXW9nyGZYBeWh3z4KSpTHrPff6fnA88ItR7r17It/iJeJHlxtrkYVdFqrV8jksPtLbJFylQlLbBPxpKfDxbv124wKB1y4EBkV3PEtWCP0LWHTNrRCSPaE+orBN4/NT5aNCKaXlecDqw6K+5uMJ3Gk9ihELtnSZ2P7RKfhLaDqabRY7m4FzYJGbN/VrNArA6gaeGlyJp3ICcbi+K0XJXRCE4MX1Q4C3tv00IOWryP0Ysv+wXbvun7On4LlcM8Y7YpZkfIT4ipwE+gCVDQIcsI9xsNgnjrJdWjuHrIRxCR1yTI650QKduGeKa12DAhwHi/zf5XYt1tOL5YmEYly2ZqtYSBvwx4mT8KYTBpGrHW+XKgsVc1eCRXqyNLjXWb9Vgn4wM1OF/8uwXgB9byjTxmAeWWMlY0X5GX/OsV47WAAblMBSB383N6IOA70a0C/MhhWlXvioLAiVTRaQbUFvkYKajjcGRolvmv4sBFXUQcBzaC+Rji0adhgsFpOBcrDchtl9bXhti2DuXJ5u7ExQ90VGEmvIHzqxwGBfNwwB/rvVnKKU0ofjHnoothTjAupxQY4AyjhXrg9BrN/0rcY9q9ejLDkC1/kPxa4S46yUUG8bFtdu7Fwod9gstZmJCLhBVdh3tZl62u/2lgD/Xq9thKQ3Vm62u8boPaX5+7JtJQh/eZ1b7x4ZmYz46/sBS/KAg5WCdqlmnMQEAH3CgYwIYEcJQDM0NyJ3Un/8qSUBE1CFaZWF6HuoXXvQ1xNHUqIR7GtB0J7CrlQzdV/M0dQkIMPBlMyN8chXZAZkBmQGZAZkBmQGZAZkBk58BmRN7sTnVLZoPgMSSDGfM/nGWZoBeWh3z8JvPgZc8pF7fd83FqDxfHcGVVjmfWyuADkpsfPFXBZ5LxkA5FcBTS3iIi+LrLzV/v4O4KVNnYu96vnSd+L344H0qI60QPDOAAAgAElEQVSf7i8DnlkHfLVXe1zhvsA9Y4BrBgu5n1Mei3OAz7M7dXs0JRovDh+BZYc9jvs38AGWWXnZOtAbyC5xbmh+VXIThtSV46GirkUyLfkqI3OmH8PEBAECDYgSBu5mIyO4BfMbtyFgm9DU2jcsGbMbB5pVt8GVGcI4fVuRMIuP9LchI8qCc+IF8yfHufd2lyHTq4JAFcE87rPc8g6TdceiOH9PEOBItbGZk/VBVgprqZR9Sg0XoAVN3D1tbUixNGJ8QylWBkbi0yPC58RsaIE9BDmmpQhPGyXISOEaUjqLvyc4ogZNPCzAiFjxvbG+q/4dv8kBkQA922uaxRz4HIGRAxXiu0oOEblTfMHJCgv3F+9Q3k8Jfu/xQYJFQkkxAjgEUBz9bhzzQEm6tjZgU4FgyAyPAaobza012ySQQoYYzxdnwdwRiHInHPfMrJRWLDogAE2ylQh+qRk3+8Ky4L32MF6/bib+ucUT9Roydo7j4DnwbPRRXLSiKwCrPGuL8EPhFcMRMzjMnWl0/zv7S4Fn15s3c+LIM6KAu90DUpqKa9Hw320IznNADg1k5PDMdPSuqtYHSKgJSERW/YEaaP/4I+f0RsvhangeckHxon4hUUF+oM6CH+nF/YHeJ3GPFFQLUy4yLnlQeFuBtEhgRJyZGctnZQZkBmQGZAZkBmQGZAbOugzImtxZt+Q9csISSOmRyyIH1RMzIA/t7lkVFhznuMlIIYBwRzczUh5fKYAOM0GDZ4anBUgIAbYc05bcYcH7thHA+N7iNjc9Oo7VAMHewMBoYHofAbawSKwEwYafL3BdS1Ke/dlw4IFxgiVySuObfQLlaY9dA5Nwn386sqtcG96wDkfJKcUoWz3mC/u04reFu/FhZDJeyOtsYO6uUTwL2WT7ULqNvhoxQYLlYyb+HFOCm5epbnt7WHD3jPPwVXuh2UhbZFZcmi4K3b2DgPP6AOuPiZohC/JuqOV0MmlX50ddFCfQkNm7cxFcb7x8Z2y8AOi4Ts4AntlJrfgmz7zBEdsdEKEtQUWvDtaTN7RbTExLBrw9BUtG8WlxNv7pKUI2jYCPOpib9YeFxxFZXY4xONKGC9Isdm8aepbwW2I7lOxSyDHRAcDXe13L/mmNi/OhCf17O8Rv6THzwU69Fej6eyOMLHfl79ib47tTk2xoarPY5d7on0PgTx2PJpfjxh3bYTlSjf/cMgvPbLCiqsk5M4Xn2+NRBbh8zRan/hoEUYouGIheY09jtkFlLfDcRuCoitZkdLn5h+BnHX40Rl9Tnsubvx9JS7p6VrlqpznIB5iUAK8FOca6IwpJWhjRRzNB7bvSOmN6duyDFChXBkUz+gCXpJsZgbFnD5QJ1H1faVfE365vGCVkxmjGJENmQGZAZkBmQGZAZkBmQGagSwZkTU5uip6QAQmk9IRVkGM4LTIgD+3uWSYWgi/6wPwta472zYuAKcndM272Sqmq6W+LG+tm4/y+QglFfXPdWRu/GAnM6QfsKhbFWhaTWY/hDXVKXynBIvD1n2lLBTlr+/+mCvmqUxrLDgIfiorwwdRY3Bo8GPvqjPklUKKIHjP0s1AHmRCLc4Wh+NAYYG9ph3wajcZZBDfKqlDaVcy3WXdjHYzFePZhNGJ8WvFxXRYSczo7vO/I7IdftPbDoSp9WSM+cfEAITNFOau5/cS8eMH5sz0CSGPtzmyw+L2x3QieYMHGI0CEP5AYDBTWCjk4+qmwTy0AwVV/F/YHvs91LTV2X0oNnjnQGfAyMgfueUpoOZN6UxumU6KLjC6ybxyDtVa71FeL2EtcW+4hgi7qx10BDJTK43dJpocrtpIRIMPZ3AnwKJ42Vw48/tkYSdXxZ4z0z/ozGURGziPHzh2BytkpbfjmgOpg0hjtgqFFGLQ22568F26ajTVHrMhm/VnlzUMmC7/lJJ9mzCw4hLEH8uFX2tm8xxbsg/r0aFQN742YIeGm8tIjH35nG7BaZZhjZJA8JOalA1P76D99sFwgW0SnIn2BaOFfUr69BAHvbIU3KU96wf6SQ9GYGAof/hFUdPJ4wOppMA6MBHaXGpcvIxWRSKQZ8KVPmPjj7EzrMC0c+OU5erM09/udhcA3OeLgdBX8482DZlY/c+3Lp2UGZAZkBmQGZAZkBmQGzoIMyJrcWbDIp8EUJZByGiySHGLPyIA8tLtvHV7fDPx1hbn+h0QDH88DfI3V37s0znoR5WboaUBfBRZVKZMU1+6La2Q0G44A8+YbebLrM7P6Aot0LvKyeE9WBIEaSqA5FoQp6zUvA5jdV9TFWMf5xQJz46HfxNdXAbxcfFKDFWvSaahRVNcELNwHHK7GkxPG4fliczIrWgyTKzKAj1QeEGTzkO1DSSMGAQJnHhFa8yb7hRJplGOihw0L+CwN0zD7EwMXt0O92vCKby4yN3aWMGsK9MErw0dgqWe4ru8I+yXgxuJyaYPou5cf8PleAXJQGio2SBiFmw2ax9O/hnJVrDuSSUKAgss0PFYo8HDvqSWZjPYR7Q+E+gkwSyu4V7/qdQCXFqcY8nVRt6EGSrTapqc028+IaENWkZVb7HjweyLw5OUh5q6sLdkj/FlRjZCQU6S6+KIWCME6MvPPd8g+IbjnCswyAmQ4y6363ZPFSOHa03+HcmZLDhpdZfEcFZuYv12qPfjb9Hq8st/XJcvkt+cAdydU2xPYXFqHR1OGYd1Rqx0IVYCs+ubOzKMhwc24M6gEmaiCpbkNLQHesIyIRcTpaCzvLM1bjwFvZjnXctR6j4yNu0cC3t7arVbUAOsLBHLPw0JBRvmhUnuPFK/RvXH0xyOI+WI7rDyjnQUPDqsFtrxKWBwRVkprEf2iBiE17Jx9/NSa42FjJNIJvJQIlE/5I0XghnQngivOqGbU5XN2MPIDJio56QTdwiiuBt7dAew1OCcfD+CC/sA0A8CXkRzJZ2QGZAZkBmQGZAZkBmQGzpAMyJrcGbKQp/k0JJBymi+gHP6py4A8tE9drh17OlAOzP2wqwSMqxH9Yxpw1SDzY6ZpNm/yUy7HUUo90EsYTVP1g/UbveDF4as/1XtK+/d6xVXWWsi24Q15rRv16lbvGgXcOwa4/zvgq33mx/PSHHGz/qRESa2gNTBZakpIsDcKhiVhZnk/u1m3maB0FA26lXofi+eszbmSuIr0teGK+Hq8uN9ftyvK6LfYOgMBCnhDuSWyBNYeEcwNrRgUacN9AYWYsdhB883TilfHjcFjhRH21/qGCbkwXhCnBJISLEz3jxDgBv/LIjUl2xpabJiWYkGID/D2dlHE5v9uxh9F6YMAGgvn7NfxEjV9LSjzzxor5eTcCVdMDkrTra5ag+cTM/ByUbvOnYFO6DNC4EevBjs7FYgPbMPrWR2sCEqi9YsQwJCzOjH3ENf57W0dg5mRAtQ2C+YXgRNfD1EjJojFy/eDooSEWZWDJJh6Onrfuqupq/PI9SKoSnaSmeBaMxzVjui9TSZKc6sAlTj/rQVAgZN9rdXn1GThiaNETIANn3nswj2e/bGxTBvlpkcMwVvKE9qjqRVNu0vwTE0Ulh60YKeGAT1r/pOTgcsHAGMTzMz+NHz2i93AtwapbzyQeHg7k4vaVSTQMdIZnQURRr4/pw+Ori5G+I858C3WkBcbHC02nzOmh9I+kVkeajRX0opRsYIOpxf8szAxCXbE2RGc4SbihiXazI3tOCZXQAr7JSvk4hMk7/V1NrDQoLyZMmdSSn/ZzQZvevmXv+8RGThMvDCnFNaqBvt4LJH+SBhq7vJJj5iIHITMgMyAzIDMgMyAgQzImpyBJMlHTnoGJJBy0lMsOzhTMiAP7e5dySUHhLeHq8uwyghvHgo8OMG8twclkX73nb4UEgvZz80CxvZ2nZPthcAFH7iXNz0DdC2ZIVc98YY3DeZp8m02fj4CeGii2bcMPE+t+De2AhWiAOAY80cPxW+qdJKs8R7rfjQJJxuAcc1A4D0X3hF+HjY8F3YY0zbtwpMzp+DbIh+7PJhj0Jic5uosjDuCCwRrGNxDDAIc9K5R6nsEPXhhmnuHNb7qqib8ZdMaBKgKktmDkjCndVCXS9QEQ+jtweBla0pNKWABi+ccK2Xbrh0ksCgyqOjZwhoimVlGapKOcyWLIq8CKHRS62RfvMDuDiOFfVEOjSCgVjA/62ybYaltwr1xw7C6Ut90nhfduebL8vT33c+HC3Dph/YCP83meVl+Y7t3iqsWWJeemAAsah/75eki5wRdSahi/ZOAiuKVY8RbhN86vaf1fFocx8WxcH3XtO9z/v6SNOCzziQn3YSkhgKsKytWFgSjyOxhPhwl8giM0GNGT6GJnXJv8n3lm+DP7kxrxAPfLMGNY6dhabE2Q4K+L/+epT3so5XAJ9kCOORZxr3C9aMvUOaZDqCoU/LZbmGK5ApFpz4dPzRnzIacEuDzbH25KaVfmm5dmo6a3EqU7SxHQF4ZIo6W25G2lgGR8NhRBEujC7aKevxkrvDDoRalY4yIEYtLgN1ZEEQhHW/5If0bFrz1wL7UZjw0Iiuscc7saZ+r7sdj5IEX1pvXxOP8rh4ETEgy0oN85izMwJbsBsTtPYqIA8Xw5IGoUPU8rWhOj0JJchT8x8UjJORUm9ydhYshpywzIDMgMyAzcMoyIGtypyzVsiMXGZBAitweMgMGMyAPbYOJOomPLc8D/rjUuVE6WRr3jAFuHQ74mZT0Yo3l7m+MFWI5Rd6AfvPijgK31rSpbHLtp+YL2YohtzM5IHp68IIti/RGg7khCMCCrdmgRwq9UpwG9c+IGtFRmwNjJZaFqkHRQr9eKyi78uIG7UJa+/MvZo7GP8qVa+nmRq3c8p+QIGS7WDR3ZIhQ4umyiBpcUXsUo7YIqs7vJ07GsvpAMMeK7FeAt1CkYdGWUyT7gL/bdKwDmOLveJFaye8tQ4UE1NZCAWiwSK6uebKOeFliI+74ZMnxCvqL48biH6UGqE4OqSBLIiGwDTuLrahvBSL9O5giWjJnRjKp9t5wfJ41vr/0rURJmweezTXvY8J8XJ4BvLvd+UjeCtyPyZv2oCAxEo8nDMZnJc6ZQtxqySGuGUfqnm4cImq0ikSXI2tCLz9R/kCvQKCiXqytI6hGJhHN5yldRsk3XvZ3VV/mtzkspgP40+tf+T3XiGfMSpVlBq0wyABxBEBctUnZO4JxinQbmW6UbnMWk5MEmOjI2FOe5/k1LkE8k1fZ0cq81Bb8dcMq+LS0YFbfKdhb5dGli7hA4L9zhe+2DJ0M/HhALIJijqU8zj9OfSOA/uHAGBdAtFm/FR5y3CwqyauWqgY01zfD7+NdnfXbjCyeM1YID9LM3kKzkAwXGvMoHxC19Ygq86P/Zp+ggxkJvsO2lJsYRN8I4qjBFXU7F6cBM/saadn1MzsKgVc2CXTbbIyNA24cbvatbnueqaXcHs8zdyVVu23wp1nHmzdVYcjSnfCkvqiLaBzcC2UXDERsgt9pNkM5XJkBmQGZAZkBmQHtDMianNwZPSEDEkjpCasgx3BaZEAe2j1jmehdwtv2i/Z3yDeRDUAfkGkpdo9bt+KLPcC935p7lYDNI5Ncv0Mz69//YK7dzDhgS6Hz4qu7xXGt9yhpRPkoFseL67rK+3DkTudZ2QB8myMWRKtQRGoIq7IzUoW5hBJEIV7YoGve8WLmGPyj3L2KKm/5s5g9PBp4biNA4IKYDrumfD7ne0NAKWYvXN+JCvDAxMn4oEiAAwRjCH4QMHFkC7CAzovT/D3BE7Y3Jl5MifJv/8tyiRHZ2yeQQ7+IX3y+BHVRwZgVNw55dV2Ly3q7Z166DSV1luNMFLVUFMdIaX4jDAKlH+JglC/TYrJwzE9FHsVFa7KwcXAqLqvrrze8Lr8/p7cNVliwyoUs2NVRNXh87Qp74tv8vbClfxJ+COqFz+tC7FJvfp5AUijs/yW45ayo79g5vaxZD/b0EOcH9wXZPMQCzQQZGywYKkbvju8q3xpJATyT1NJsWv3Qz4jSc3oyfcq73H8ETcj24P/wDOS7/CQJHlLazUiNmcw21pcJBhGYYbmX7D+9si/r2PQZouwXL/vTO4e+N/zG2tpBRqX2nRBsw8WxjbhzzTr4F9dg4/B+mvuG4OVTMwWoJMNEBnYUAIdrgJZWgGblBCh660jiUS/zP1uEGZCZoPnPzQ7F/WUHhAGV3qZx7If0LaKNju+RzsefE7Gkvwslw/j3hR8u9QoTQ4Hn1glvFKPBA5rtZrcbM/GjPFKlTdGk2RRpmFHmQeIuw1lxEHjfBR3S1fj5Idw+0ugMu+U5/j2lPxvZhV/uFbKGPJMnJQpFOf4dDjzZ/mrdMvPu63TttjqM+nYrPPkNG4imQb1Qc+UQhEc48Ugy0IZ8RGZAZkBmQGZAZqCnZEDW5HrKSpzd45BAytm9/nL2JjIgD20TyTpFj1LmiAVuSun8lGAB8ravnBdFnbXNgsF314siprOgesgNnwN7nBhrO77HAunUJNcS+HqyX87GQoUTgiVU0qKpNvtiEZaFaOaSl3QpX6+wLZRC6BPThfdup+B1fMpy6RlS8CUyU24Y2gGmUNLr6bW6S/bBmGF4oDJe9znHB1hvoyrKoUoht+RsiGHebfgk/ABSl3W4wz8xfhxeKAkDWQosEDnzRFb6ZF2PXhKs+41PBDwtAuTTe095n2vwZFIpMg/mY2ybe7ePOVYaoccFi4LW5ERgWb7ogfVDqtQ4k9HSSi6llb7aq13UfzK6AFes2mz/Zau/F24bOgk/lOlLb6n7uSetHhtq/Ow+Ms6CGNzX3rswIOtAxyMWoDkyAPUBvrB4W3FH5DCsKDVXHLpkgPBAGp8gZMn0zOmdjY9r3tAM7K/QfoISbgRRuPeM9GH/7nWYIEpPZHxQsYngEWvMlNpSMz/4HH2RFuc63/uUBSP4zAvze9ovNbMGPzoWWKFiuOh9fBz3HLZTJEgCTW0dTC5/TxuGhjbjqp070WtHOxXOAjw/dTyePNKBeI+MAeZlAOemiDPoRMSxaiHRWF4vANWYAFHUJdgjAwClwcwcCkrSCIiTbjdAxRT831ZgvYuP2VnCuXlobKRGQR0BD76rAPLnpwLe3gDBiQ93GUcdlf7VDBhXHin8YK8efGK2yco8YbjmTvRwIIWM2L+vFACKq3PysanA8Fh3EiDfccyA/Tz7YjdClhv0SGpvoGTWAETOTZUJlRmQGZAZkBmQGTjtMyBrcqf9Ep4RE5BAyhmxjHISpyID8tA+FVnunj52FwOz3nOvb02QwaGpnUXAXd/o35pnvei8VIBFwE0F2uPhM5Tocsf3gh4f9N+N8BcSZs78ZlionZQEcNyUql98LRCtLnASdaEsjBmncdKFLssQk/p8t6jy6sShtDjM8Byu613s2MyoOMDWJgCOzYUdfhVa3aWF2XB/cBEyDhxB75xjWD08Df8K6Qsqjxm9rE0lHXoxz98lPCrmd+AyelO0/35WUisePbIdY1uGGXre8SEyUDjeC/oBh6vFxW07sONZjX5NNegf3IZKeOCL+hAsLPFzeXGcxXV6YxBwc4wxoU14O3slfAmitcfy0em4paaPYe+dueG1uMhahrf8E46DPc4mPSa4Ef8uzkLsQW0j7C/PGYp7yox76FA2ip4im4624YbUJhwssaHWzxuLDrqHxNL/hGwkerPwu2Tw02D+KRtGsJJgDQFM7iVHaTnHeROYpWwWgRFn0lwEGjiHpQcF8EBGjJa3CvcEZXZYL+ZaknFD1gi/fbbBb/zzPYDaMongEj9po6wYZfzBPjZc3B/IrxLgUYRXGwY1VGD21l0IONpuGqQ8PCkJZRcORH61xX7+kP1E0gFBnBMR3PcEyt7eJphG6iDgfc0gu83HCQNsTsSYu6WN/2wWVDt3glSoc/t0vPnKRiCr0J2WBEuEi6YEmSLcrNSscwzlb8ibW83r4LEtoodhfkITk5tO3a/SFz+OOanAKOPnisuJ7y0GXt6sPR+9jFEf77ohek91y++5RPcsMoafhfsB/71QgiknYqGW72rCxPlrYDFJoWzpHwHLXWPgofyhOhGDkW3IDMgMyAzIDMgMdEMGZE2uG5Iuu+ySAQmkyE0hM2AwA/LQNpio0/CxNYeAqz51b+APTQB+bkB9g/I5z64TbAUtAIM3y6lksjRP+Av8P3vXAV5VkX9PeiG9FyAJJYRAgNA7KqggCioq9t51XV3LumvX/Vt3XV3rrm2t2BUp0nuT3ntJgBDSeyd5/++8yeXd93Lve/eGsKbM7/v8VHJn7syZuRP9nfmds6qxosBxVEyAMnHLZKvZiA8QkvlMNBoJJlZprH3PEIen6UL+6mpzUi4c+BNjRQbTaBLPDXhh1Gh8mOdCpsZheNNTRSKb1QAkj1gQQyl8vVzfNX2AmfssuD60FEO9KvC9XyzmHeLVaONxSU9hWP7dHiBfx6BdrzdezP6yRw4eOBqJ7KrGjLzxV1uT75TcWsckeIMFj4bmYXJZNmJ2ZtllxRt8PHCwbwJ+8IvF+3n2Gnj09egSDIT5AnMPCqsbx3glJAtX/7bV/o/dgNmj0/FQQZwuMac0GB9ShZdPbMPhyHB8Gd/TmugmoecscU8y5R/1B9F1W2YT+bgGX0+8N3QIXs0Jc4kWk3k3p9Qh4fBJjD2ZhbBjQlLohdHm95fyMkq4ZRSLfLQ670sihd8opapY2UMrBpIePGe0cHUcPCW2SCzQIqKoWkjRcR+z8u5kGXCwSFTUkPDS815Ry7txR1GtiD4/JNocCQbl/eo2LgF1eEDdNsavATcHFOLa/XsQnKsiUmgYw5v+apk/sy9y8jzx+MOvwAkXMm204HjtfFF912Hjw82i5K45wZK1C1X+IS1FpDDJ2zNceL5oBT+sK3uL8s7mEjfU8uNhyV8OjgwkGXGWVbGM8dZ0IDawOeg0bdMcrPlL4eb+wIDWWcrxwnLgQ4dfBc7AIpn83ZXiDJLRfASyfs1E/KxmVDi5ASeuH4y4EdHNf7lsKRGQCEgEJAISgVaAgMzJtYJFkEOAJFLkJpAIGERAHtoGgWqDjzEBPf2H5g38ydHAHQaIFPZOlY9/bRB5HLVXB6Vn6NWuyEExqc2EK70HtEKRJTI74uv7Al+Y/H/wf14gbnDbxez9wFxhzm4qqKtEv5T/bAK26pTcOHS4N6ULbvHpgxPVxqoGKOFPuTLHC5tW2bIQIffjGCReqBTD+NNQ4JPtIoFtJtj/9N7AmxvMtLI9e09qLXKr3fHDYfNX86/tA3y1C6BU2ft+RzB8vXOmrMHLHavGp+O9uhhrdQr3I4k+5g+Zq6QEktrAnKOkH8jyU5sRu18j+eoGrBnYC9/6xmFmgX8TYiQxoAHX+RbgykP7EXqyGFtGpuDSgu7WKg7KjtHY3BmZ8o8ueejpVgXvqlrEF5XCq6IadX7eyAoNxhy/KGT4BWNDtr7PCeWqro4qx5S56+BdXmO3QH8fMQJvFbomYrRWlSSjKxms8xJt/I+/p6g0I0GiFyRUWTlBMov4BPvavE/UNkSufJKaI//XUkSKMreJoZX4v6NbEVFZCZyTJMxb/M9OJpXFBTfP1D8zHfFmNdG7F4kKHadRUCmMjxSTIS4Is8L8e1uO5spxcc7UTRyTYJv959vMVScqLVmCFdkJOFoidCaJK82EnHmtsNyw7hSwLbd56HPhKSWmLg9jdj85DDhlsRE0rIy5ZzAQ2AIGHzQdYrmimWjFsl4kjy/4Qp/E1Zvm+5OFnKCM5iNQ8NUehK9yXc2r9YaTE1MRMyWp+S+XLSUCEgGJgERAItAKEJA5uVawCHIIkkiRe0AiYBQBeWgbRartPce8yvmfa/vOuprN2xOBS3q5ekr8nLfWr/lBVEvw4muwj0hG0KOEt9bVwQQsZXa0brC7SqJqjYZJWSYxnOmZa7WjF8N/LhYJ9tPx8iqR/DIb1CS6ewgwY4cwqDcYNKd+oKE7slyQKaw8oXyRnicKyQ56VzheZqbcjyJjf0t/4JNtBgfm8Ngd6cAHW5rX9obkOhyu8jItrUQzeRqFs+Lm09AMjF1r0NjY0x2fDB+EZ/NUXgeNQ6fnBRP56ogPsGBlxlJ46GlOAcjo0wWLuydhTXUnVNS7W2WuPNyBmtoGjG0oxgXFJ9B7VyZmnzcY9x0XN2O5L0kMshJLK6Z3q0NAgDtyqjzwW5aQyKJCT+UpQTAwL0q1noIK4UFN8pEVGKzi6OQNsBIlrSQf1yzboPmBzx/cB3eWJZpeNMrGkXgyIv9GuT7aUXC8lNqK8Bem8Ez+8/tnHpd7l4QWL8nzz53AjAHRwKEi/coSToayYsz/GzGcVyZ/JkQK10HL8+ba+Cr8rWAXPKb0arkb/hqr9doa4G2TJOZrE4CrHL2flL4pScYDmKWBjmU/ZMRIJBAwO81D09vo92uw5DDw/R7z7yfLd8dAIKKTre3iQ8BP+8xrwvFjIIPL0iD+flGM4J2Nih9/v+jmETcs86L2IkuWeGCSsCFDTLMjLWLmpv7AsBaQ+OIv9293Ch1AI8Hys4uTgRFdjDz9P3/m4y3AcyvMv5ZVm29fZL6dbGFDoPCrPQhrLpFyYQpipkqfFLmfJAISAYmARKBtIyBzcm17/drL6GVFSntZSTmPs46APLTPOsS/6wv+sti8J2xsADD3GiDM1a3mxpkxsfzZdpFUpacFTd99PIHEYJH0ZRWFmgQgmbIjt6lfRVQnIMRXW+JdD8TzEoBVx/V9UZyB/+4kYHJy4xPMBj+1xHzJBptzoo+NpkkF8JE5xuFgcjy+SuqFH0/6NakWoVpLdABAxTFWozgLR+Pv7iHicjnJLcbVfYCvDXIRju+ZlgLkVop15bqZiXt6VGHOSR90C3fXJRUc+2MOcGJ3YOZ+4LKISryxfrkpNrAkPgQXRw3H0Ur7ah8ac3M/MlmvRNdAC5YfXgp3HeZg5bBU/LEyAQW1+tJkHO9rcbl4v9elH1EAACAASURBVCQMu0ttlTckg/YX2i79853MeU7qDnCvM99LYoFEw4Xh1Yi01KLezQ1HG7yxvEDcGD8/CcirArzcAHqhzGwsmBodVoOPd6+CD5kLjSiPCcLU+BE4WG6uEsgMmcm5kCih9JQS9BJh5Rkv4pfXCdKDJIoRY3ojhAfz0pQIpEeL0SChteaYOcU+9k0iiDJmW3VsMn7224d032rgxv5Gh2LqOZ6bvCHPij4qCDLPrniukKTWOxOI42eXijWwCx7OH28GCl2UpZGZvWWA0MRra8EKG0pyqT9yI3MY2xW42sGI/f2NwpBHj8HW65ebnYvHMZgx5rk8RehTOqtc0XoniZt9+UIjjx9kWY3zMadGiqoUssFnGrllwJyDLjU5LRF+cBvfDRhnntw90yEabf/nRc37HclzYu1tUt7LKM5az+X8eBDRi/Y1q4vsy/shdkLrJOeaNSHZSCIgEZAISAQ6JAIyJ9chl73VTVoSKa1uSeSAWisC8tBurSvTMuOiefNNM8319egI4P6hxtrQN+P1tYKs0cv/kJhh7oZKIMozDw8H+Oc/7wdWHxV/zmThbQOAz3cY81xgUpVeLv+3ythYHZ9ivuvewSIxa42/rRCGvWaDyat7hwAVtcArq82ZiXi44a8jxmIrAqyVPEx+8i/euGcezpn3KpPWrCAgkUU1Gf47K3OI5dRkQURQHp8qM6M6A/8xx/GcRkFJcJPkGsYb+sdtcm2uoHq3Wx7WlPlhYWWA1QfZVQKcJt20CyAxx3l8FHgEEzaalI8B8P7IoXipINJueKw+YvXSHJV6G20tVlX8htDD+U2msn5QMm6u7oGKU659Zbh3FTkvpSO2uqinsGxgxVBCCBDuR78XcdHd360eN3UqxPjSHCTvPXba26DezxPbUxKxOCAaHxYEY1yiG1JC6vHGJltm/PXg45i23nmJ0RejBuGJ/BhXS3T658yf89L4nqZQ6PZhhHghxiQFt7hQvdOr/nB8OeW9SBBq+XZrDZRzorqSlvyd4/P8XpIjhEQhx82ctKcHkFfRtLDgrvgy/HXZSuAvo4H4IMM4G31w5l7g+ZVi7MzHcx8plXxUaGIRBTEgkeV49s6cDlBF6XTklANvr3deEqQeWHygMJFi6VNbizn7gV8PGicx+FFemQr0UwG29igwYxegmMQrEmiusOAvOq7GbhMfkdLn2C5AdoV54oYbRP3RJoXY/FL0xvvEmJbbs5V1yF99AvVHShBN/yqVR0tpbDBWx3fBkdgIDOvfCYPiXAH4+/38wfnGfdbUo+TZv/52UZEno3kI7NhWhr6frYGbEbMt1SssUf4ovG8kwiNbQKqueUOXrSQCEgGJgERAItAiCMicXIvAKDs5QwQkkXKGAMrmHQcBeWi377WmAfzLq40XSgyKAd65yJhaDSsUHl0ILDAgbc2b1LwZvvgIcPcg4IGhojqAORfK9VNlhkl0JiNWZAL3/+o8WU/ppGm9YZUDenxJ89aQBAEVWL69otGg+ftdwJIM850xW07JEsZvx4FPjWtobRnUE1dVJZ82NDfiE8M8GQ3gHStEiB99r4OYuA4FNucCzJ/yr6FxwKJmTM2xAqBvpJBxoooMCRz+xYvQzDM6JsqHxFjw9Y4leKX3IPwnP8RabdQ/Wsi9bXBQg1HGbu0TQuEm2s+Cpbmr0emEebm1PQOSMLEq1W4tWflxVSqw6LCosFHi/aBMTNpgb7JTE+KH65NHY32Jce8L7t1If/ucJu1zeKmdFRGltcD1aSJPWl9ag1fK96LHXg1zG2VgbsDGQcl4oK4bJvcCSuo8UFwDbDthweySDYg8omNe3di+OsgXr/QbjI/zXFcWkGwgH2hCmc76luRwIQNGQlUvrmmshnJ10Z5k32oncKj7Z8USP1Web86C58T4JHG+LHWy/7n/hncGskq1lZhYQcR8NeUSFfW/KH8LVp5cBd+hsfYm5eZPEM0W724QVX5KVZnWQzxXz0kQc1Mrdf13CnCu2jZg7n5gtkn/J5ILdp200MT+F938tBtYpGLu9d5J9vqC7k3nSe8PMv8MLjy19Sib5Sx4MGaXiXIzs1Us7JeHP9ne9VnGjTp6hYsN6ZiAZjnc9tymxvPK+P80AlZm20RY6htQXlILT093+PGXTGNsygbunSt+j18eXo7Op6rgCQvKPbwwpyoIGRWCAGblxjuTWm9RyhNLgC92mACk8VGenWtuFf/9IqN5CBzMB+J/2Qa/jQZ/ATS+pnR0IoJopiZDIiARkAhIBCQCbRwBmZNr4wvYToYviZR2spByGmcfAXlon32Mf+838Fb16+uAj7c6HwlvhL88HkgKNTZiXnB+ba2xZ/kUE82vnw+M6iouzOoFE92fbBXSVLxtrfbPZf6mf4y4bMxkO2WSqCzSnFAqLf46CrhrMISm2BvrzHVFpuGxUaLcgEEmgGVATMS5yBzv6ZuIu716IaPSJr/kSt5IISL08nTEmOQSE+LqxCqTPbw0v9OkNJciT8UkGPOJJEu0DOv5c/pXZJaIZDPj8Z5luGf2Cjw9agw+zbfd2E8NBwbGCRKLnh8MJsR5456QKRiMjKjDjE1LjJceqFausG8crgtOt7sYTgKKmHQOFO9TJJsmR1Th7Y3L4a4CbNWgFFxXbl533VHCivuTmPUIByL9xDew+kAd3ivdicQDxrwFNg3siRldemJLjptVzumZQTW4bsYS/SSpCoeqED981r8//pUfhnKdyprUCEFw8QK+2eD3SAWoXRqcDm9q04uIl+UpkcVqJEdbDuV9XQIt+OOAU3hqrZemf5LjuJhvPicROFain7OmxBg/S5IMrPKiepMW6Ut7Cu455t1dRVqUIAJZLcYzbEXgLsR7NwDXOshCuerIxc/XHQNeWeOcRFG64CdEvxrOTVGS+vxSYKzim85fAKy2K6s1NypWpTwyUug0tsWYtVd4hGhVGXID8UCjXpraYF6Z59c7BaOvREIw4OclWGn1Ach+eLBwg9GtnIQG2UX+LjETxJpBwobalyyfclVyxY+KbLqW8RA3J9lzvTKsR0fa/6Jfc1SUP/JmA+dCbHqJir79u8uw+DAws8AfhbXuuC6kBOdX5SK+pgo+bg3YB38s9Y/Ap6VhKKxxXr0X4gN8ebkgbVtbfLsLeHSR+VHRcub5c8y3ky3sEdi/Og89f9kKN4PnFOXijk8fhC59XF8UkFhLBCQCEgGJgESgtSMgc3KtfYU6xvgkkdIx1lnOsgUQkId2C4DYBrpg4pj+wlQ8+WEPUK9K8vMm+OW9Rf7GqC8KpW4u/NK4UowC0asTgOlOLhDSD+T55UBRjUisMydFdRkmZSkFxuqHWfttOUFKW+VWNPVbcbUk9LVgDo2VEcyRzb4GCPJsAKiLr5UV1utwSBxw8wAbI6A8t/2kKEPgrWCHKI4PwaouXfG3qjhkOxjNO5M3Ym6LuTWFqHDsl0ltyvms0PG7H5cALNcxP9ebHpPPTBoT+43ZrlAFWLHCXGK/kFN4ecMqK7F0VffR2FZqu67LPik3xn2oFS1BpJzsHYfrQ9KtNgD06WCoZagog8b1Zwz2rMADufvgwavVjfHCmDH4MNe8XBMrgphDVczQKRvHbcC4NFmYyV+e37QCxhWyn4wZijUBkdZk+ZToary1YrGrJtafV4f6Y3NSZxwODsEJ304o9vbByWoPq+8KyS8SWcSHOVma3psN4sg1V+drSUykxwqfbZKdzM0yr8tPpXdwPdbnuiO/yg1e7hZ0C7JgtE85pmYeRPSebPzhwon45bCjuYf+qChHNiGhHhmlHqcVhbjmnBfPEnoMsSrF282CW7xykFPhhheLo1CiSviS7GHlh9GgvN2ePHGGvhN3AueW5QE3tKxPysMLzHmmM/dNIpN4M7c/71qgV0TjjLZkAx9sNjo9++f+OEzVUfO6+F1b5ZQCG06KSpG6BrEpSYiwZG+UwjRpjPCH3aJ80jG44bjpGSTNudGOFNl7OHGjO5bcuQLBsQ0PQR72u/Oaso/UdKPunKsqGW5UGuwo7FpsJzFeJqqtOHgCIX7igOchoPZz6eSF+rQoLI3pgrv2hVu/rbsji3FDzmF0PtjIeDvMKS8pEj917oYXcyOc3iG4ZxDw+GhXgPzvf55LT6IvzdukfXmZ+N0i48wQqK8HTi7LQtz83XBzIaVnCffD8Ul90GVk4y/xM3u1bC0RkAhIBCQCEoHfHQGZk/vdl0AOAPxfBXHN1c1i4f/pyJAISAT0EJCHdsfbG6wE4MVaJgIpt8QEPQkKM8GCi4cXmmkhnh0WB3x+mfYl5xOlQiqM5vHOgrf+maxWKlWYmNcjD/T6oc8CE8cKoUR5L+adrAk3kil5TrSKlE55i/jOQYIV0AomppjNzShGfXU9dhS5Y11DIL6sCmtihK4057iYDNX6xeVqnpT4WeaEKKHiTNdge3NwZziT1GGOjbfwzSieTeregFf2rEfwkQIsH5iCGytslR3sizkSSjOxQkqrQoFJKXpURPhZ8Orm1fBvhrTX7n5JmFSTalXLYU6T/0WgEGfqOTPBP89zJ3oePiFuaLNkx8MNd44cj/m55nXX6YVCiReF7FKTNzekARUV9Xh+61oEZpuTKzvYpyve6ZGGH/cCw8Lr8O2WJU6NhIqjgzA3sTu+b4jAplJ7eTJu28GxgpzcnCMu0rvaO3r7hNUszOkyea8ESVtW4Tju4Wu7VOGlZctAM6CqqED41NTBndUCqpv3syYNw4MZEWqbBadnAStppgWWoMENyPPyw74qb2tOmEtZVw+QG2P+nNEnsA5XBJYitl8wVmd5Yl+hwOB4CXDMpDUS17W4CrjBko2rfYuAafYycuZPRluLDVnAPXONHUHq9yh77bJewBsTVT9htUFzNIvYxe0DgYGxZzKdttl28wng8+3GJbaUWZK1uzRFsMRGjebp0cKP0pF0J2EyNQVYlSkYWP7vDD+046U2ptYZupT9OlAgfF7C/cVhTh0+Bj9a/rmLEsVTfl74YnA6yi3uuGvTJnhRp9BZeLrju5HpeCRH35spwAtYeD0QZ56nPut7ib/6X1pt/DXjE4H3Jrfdoi3jM/3fPXlwZQ667jkO71259gQluUs/T9T0icbJfp2ROFhhiv93Y5NvkghIBCQCEgGJwNlCQObkzhaysl8zCEgixQxa8tkOjYA8tDv08jd78i+uBP7dzEvOa25p6nNLfXWavRolRJg03J4jZOsHN8pEUeXESLAaZUi8qNBRws5TgIwOmaK9TuRZyAgweUp2wmB8uQN4aZVzhR3mt5LDmkr68HWUwucFY61gNQqTx9tynA+GuTnm7Na5qD4gAcEEOytRWKBjxgOWub453ruRsicTfxk2Bl/nBVjzdrx0fbhIyH9507uim6iQUgeJjam9hCE88+sfBRzBhE3mzeb/PXIIXiyIslYj0Lze2xP4eS+sHiPquCayHC+vWynKJmg4wdKMugbcHJWOpXnmiRTmRFlBRek1kpTEe0djUdK9g4DU/FxcsmCDwR2jeszTHfOvGYM71wdYk/9zvXYiZYc2a5adEIGnYvphYbFzo3COjSQqCYduocBHLqT/tAZ9cU/j1huf9crFuJU7nF/59nTHvy45F6/v9nV6q50X9rnn12VZ7KpL+kVRmciCjdn6EkMkuu5IB2gT8eZvQvbQbCg30C8sPoEbB3sAaS13M/qFFcCHW8yOSBxFtPygahOlvk7H2mOCFGhOkCi2c61vTidttM0Hm5oaP7maCtnauwcDP+6BVQ/L1VUuVrfwcKfunVY8NhJ4f5NrfxattvzAyexS+ktdxsgDJDXSdjC5mFODjwcaUiLhue2kq9lbf97g5Y6/Dx2Od/L1NULfmgRMabQVM9Tp/+ihylrguRXA1wZkDilP9t5F4nKCjJZFgNUpGVuLEHYgB15VooKqxt8b1WlxiO/dChm4lp2+7E0iIBGQCEgEOiACMifXARe9FU5ZEimtcFHkkFonAvLQbp3r0tpH9cwy4L/GPdXtprP0BqCbg88tc1Z/W2Vu1mo/insHC493RVJJryfFfHr+Ifsc14zLAcownQ5mlw8VCiONHTkiq88MLJOKTJoy4U4NIQPBi8kkfNglKwr+tV5UZeiFo88Gn3NlQq+ufHA1JCb4mQTiBWfe2FcKAqj0wsvnLOhUSCoz/arf+0hkAfp3qsW7p2Ktsk6c71aHKoWpycCWHJt5N9szAUyPHKVSaFpkBV7/bUWTm6nO5lgSF4JLoocjs1KUWSl4Ml9JM3j6xyhVCh8HHMF4NVFDlq1rMB5PGIAZx5wTEVpjoN80peZ48Vt5L1P65yWJKpt7qjIxfKW9sb2r9VJ+vmHaUFyxU/gWPBOdj1tX/NakaWlEAB7pPgTzi/0NdUu/GKr7eLkJ7w9WaRgNfg6vJ+bj/ewgbC23r3px7OOq8DL8bdd6+JBpIuOp3IzXepmvJ/49aQzeP+KHwip7QoT/xmqm5UctqKyz/xllALmnjfh8k+z7wxDh36Llm+IKA07joh7A0LxsTLk0skWvpN831zg55TjO2wcAj44SnODp2JcvGKPmBDWYOmqm2GoMss+QF5EVWh50lyQD5zeyWLP2CWZbz6OFG5bMlzNNvbvSgR/3mS9P4njIKrI8zPFCAN/L321qfU9Xe4P6lzzYDDLqe/olYnJtH91XvHSeuMyw5DBwsEgMs5M3QE8ueh/RS+r3iopa4LPtwHsbtS8ucJmvSgXuHSKIchkSAYmAREAiIBGQCEgEzhQBmZM7UwRl+5ZAQBIpLYGi7KNDICAP7Q6xzC0+yVdXA+9sNN8tU5/rbgMoNa8EJdunfC2qFcwEpacU6R4mNmhi/+Fm/Yu2VDqh4Tq94NWqK/SKoNRIbKPfb5MxMANOFoRlDWoNI/WD1uRwpUhOMYsZF4j8GncszwB+3gesPyGSRWG+wK3pwLrj4hKyYy6L/hKTewKs0FmcYXuBKxN6SoLp+QrrYcqLyeSFWAHDC8uKAbuCDafKKpLmeGf0DrcgyNsNv7nwVZnWW+QaKTfH6oj8SvucIcf4aWgGxqw1cEWYE/Vww39HDsEzuYJwYHCfcA68HM7+Lmgka0imzPPaid47VZUdjebRs8I74/4S88L3CvFEo3PybPsKgAlJwKpjAt85sUeQutR8hQ3nsXTSYLxXHQ0vTyDKuwGP7tuCuIP2t8RnDknDA6Xmxq0QPrwhPu+QGKeReCk6F9eu3ICTnSPwbFxf/FqsXZ01JbQcz2ZuR3h24wfO2/DU5mMVkJM4MjgJM6MSsK7aH8fL3KwkCX1+vt+jrbjkSvrO8VUkDklQGjGZd2zLbXJzWgPuCStCVP9wI3AZfubuOU0rtYw2fn4ccNMAh6d5dr2xTt9cSa9zHg53DGzq/2R0MO3hOZIhZN1dyXRxQ1zQDZiSYj/rggpR+phdIZhUho+n8CdRs9h6WF3UHTheLphts6Gn18eDlgyi2SBLrBhOuWrr5Y6Hho3Dj3najMi1fYHvdmvz4yS7WdRzfZoDIejqnS3885Pl4r8V6NXG/0bhkvUMB8YnCe82GRIBiYBEQCIgEZAISARaCgGZk2spJGU/Z4KAJFLOBD3ZtkMhIA/tDrXcLTbZ+QeBO+eY725yD+Cdi+xzc8xT3TnbfF80WB4QLUiK2wYAfxkN3DsHqKwXN9OZt2J1BXNc/DsvZmtZn7Ca5c+jzL/f2oI3e5nkWpkJVNsy0LU9w7E4Mh6f1EXht9KmElG80X7/EEH6WGXn3YT5d6gf8OEmoGsI0D2wHouOiaoKV0QKqztm7m/eHJgY0vJVpnQSL6PvzDPfb5S/qMI4WQb0i2lMmFmET/PGLFgJFqUqh/k+SktxbWZpzCHMuwGfBR1B2uq9zgfi5Y6fRgzAn3Jj7fKe9NFg3l65TM39wFvPS44Ai7x2oqeaSOEbUiJQXF6PiyOG4ViVcfMgFrPwXfR9SQoGft4v9mdGiSjCYMxMOI4BC5pXyrXoshHY7B9mleBiFdH5IVV45dgWhJ8QBEWDnyfuSB+HRQW+phaMe5EKQLy4fnN/4KuddrYlTfoiGfp0dB5uWr8ZHo3lTHldwnFvTDrWq/b6wOBaXOlegEsO7kdgfrmtH7JZXHAjpSMADgxJwmsRqUgOAZYd1yZKiTMtIJjwNBMkuZpDpHCtXxhRi+kDvVqcaHhgniiEaE68NRGY0kujJZP5X+0w1+Vt6cCgOHNt2uPTc/YDNK7J1fHNivADhnYGLtbRqmJlCz1TzEaoL5AeA5Bdn3XAXGt+Y/1jBAugDrIUZO+dVYTpvYk3EcgMG4wZQwbg8VIajzUNI5WON/cD/jLm9yVTDE5VPiYRkAhIBCQCEgGJgETgjBCQObkzgk82biEEJJHSQkDKbto/AvLQbv9rfDZmyCT41G9EJYGZePciUXGhjk+2As8uN9OL7VmFYPjPxcCozkJu7LW1xvtivumHK4F0s37KZGmWZgA/7XGqg18UE4JXktIwo1BbA+TWAcJ03TFY0TAoxoIRZXlYWB2IYj8/XRl9ynRF+ALLVJ4vxhEApqcC3zgUSTBRfG6iqIzZ4KKqROtdw+KBEB9BjmxWFU2Q/GL1TI8wYda96jhAKRVWExRWA2uPa4+8Z6gFd/rlYejJbCTuy7K7IU4N/10pCZgbGIN385rq8qsrUpTeaZKeUwF8ZNmL9G2H7F/aePP6h9ED8ac84xtjWq8GBPm6W32hmXftHCTU4FjlocRrAypx1Y/LTUmVsW15dBAu7TwCQYGe1j535wnrgzHBVXi8NgN9d2diZ0pXTK5pnum5Ih1H8uz8bkBOJUBLBDUxQVm8q8LLMbk6B6O27W8yh+xhSVjYEAIvWNC5vgpDjhyDb5FIPlfEBWFLn24oc/OEn6UeKahEzEJjbMEvQ9Pwh5KuuDMd+I+Od4iWHJ6Rb2BCIrBIVfllpA2f6RNpwT8nuKFXlNEWxp/7zybg/0zKHLJ3yvJ9eZnYc02CbO3n24RUoZGgLBQ1jLjJKD/VPUxIGqpLCY3009ae4S+2PXmCeeU/EwPqTHULESWTrCyhkQbL20hwRAcAA6OBBAetSvW8KQ3J8guW25kJnkMkU/gL89+bgGOlxlvzg2DZo6JhqLTsGSZ+abvybtF6E9saJD/Z/JeBffGHioQmPSlnL7eWq3hmrKjglCERkAhIBCQCEgGJgESgPSMgc3LteXXbztwkkdJ21kqO9HdGQB7av/MCtOHXz9gBPL7E+AR4W/+Ly0RVgjoox/XCSuP9qJ8kkcJk/ceXAG9vELkqXpI3KnP1l1FCRkQdNaeExzAT7Q0NokqEF7NZMXI6TNwypm/FX3oMxuyiThgcXIepbvmIrqtGkLcFxe5eOBIdjld3+5/ObQ2OtfkD/yM4C9O278Sycf1wW2aspuY8b/eS19lwwqVaUhOQmSNkzm3BIZu/jEKisFKIcmm8zG4m6LdM1SYm+50FlXCYuOcFaeZ36W9DGX6tYBUJ13rjCeCa0FJ0qy2HLxpQ6eaBjV7BmJNvw8+xvV6SnX9+XmUubl3tYP5OabbYADScKMMnwwbjhZwIl3nHWxKrQGf7w7U+WHNM+O0w5+jvKTwAGLEBYu+/Wb4Lvbeby94vGNwHd5Qlnp4aySHmVbPKRMXVJeGVSA+qxbOHQ8wslV1/67LEvyqkCqs8pvqXILygBOWhneDnboFbQSX86+sxoDgf0Ydz7d+lGBuoEsYHB3fHz1FdsazUDzvybJ4mcQEWTIipw+SaPAxfshXQUfmq9/PEnY1VNpQe+0Wn6spVxZYeKJwryTtXyk2O7Vm589w5zYLa2qgmpwLlZfXwdLcgINwHHsG2KqLSSuCGX4xzHsooSMo+M87JmEqqRWUEPyJnQf+nkhr7xD9ZQRIHlIWiuQUPxfYUPEC5EebuB4prtGdGkyVWnXQx6S5ONvq7XcB2h+/FGX48hPkesg4TewKrMoVxDs22XAWrToZ31i7vOxMihXpWJJgMxveD+uHhcrXxmGhoRoKPlXK/Xgewak6GREAiIBGQCEgEJAISgfaKgMzJtdeVbVvzkkRK21ovOdrfEQF5aP+O4LfxV9NL4R9rgfc3uZ5IYgjw74uAFJt1xelG3+4CHl3kug+tJ5gIvSIFWJIJFFWLpH9UJ94YF6biejYMzAkykc5b9m9NEuo8zFHNPQD8uAf4zSHXyAqRq/sKg+n44hLglVWmbvUeGZiILHdfDD6YCV+WYqiCFRVH07ri1/DO+LUqyFoFcrxMPDAoqBYfHN+I8PwS/GnYWPyQZ+9DwQvLcYHikjGJKsqcmQlFYoUm75S64gVmSnItPSKmZ0SCRf0+qr/QkuFwsbFR8L1uFpG33V8oCCS9aE7VgSK3pYXLeYlAqGc9nt28DkHZDgNmMpmEQGUdFg5MxXce0ZivIZk1MrQGV3gUoDzIH/kRIagpqoavjzsy6rytl8lZIaWEguXdkcV4bMM6eFADzEBURgTgsV5DMSvfPpvIyp5deTZDZJIrChlioFu7R9RtlX++IbIMY9yKMbMhHHMdiKoQbwtuCC7G5KIs9N6l8phRyf/Mv3AwXiiIwrEye1N49Yt9PS14NLkSt89ZAdQ2ZVM2j+6NZ9y7WaX6WBSgJ1/XXCKFnBmJS3rYGA2SYR9cBAw3Z0UDS1U1dmytxOI8b3yb44/canfr+dM/uA6Xh5bjnK4NiE4T5guvrwX+td74EUNsXj23AUOqCoWGIcuiCHuYnzgM4xor4sgy780TTDEJFaUygWycYvyQVSpKkfjxJDVWeB0rsTGt3NjczJSO4uHT1oMs2ryDwGwD2oghvsI3RsHF6NxJpBwtEfpzroJrQTaaFTAPjwAiG8/8VRnA8qOCPdUL/qIl60BDD61NzV+OPKD5y9JsmJT2+ueo4Xgj395MZHAcwK3ESwpG440LgMt6G31aPicRkAhIBCQCEgGJgESg7SEgc3Jtb83a44glkdIeOx58lQAAIABJREFUV1XO6awgIA/tswJru++U6ibMCzFfRwURynNpScgzl0fN/geGCjknrThaDJz/pXNfBq12vBxNk3nmth5eKCoWaODOoITUoFhh+K0kbijjxYvVzEtx/MwlMn6eLhRrnloKLDjsfOl4Qfj7gP3oNN+kZj2TknS6Z3JMJ2oDfbFgXDruO2AP1JVhZXj64Fbs6xyNG2p6oqrelphm1QB9g5mTpxE35+/Cw/v021lhQ/UYVrIwd0evFGJFNRvFF4UVI1w3tTyXM4SaQ3ZM7wPUnhJECokBvWBOOCHYtm5GPjLefmZ1khYm5yUIAu71iBOYtmZL06w1b2+T4cmtQIOvJ7alJGCHVxAq3T3ha6lHr1Pl6Jubi4X9e2MhwrD2uAVF1ba1CfGxoG+0m7WqiZfdeUlckS57MToX1/y2Ge4uyJSqEH/8o89A7PQN1pQ9UxNdSiWJEVwcn1G35XfUvbYMUX4WvJ6pLUmntA/xbsBbnY5i7Lpd4o8a5X+WTUjHwwWxyK/UJ1GUPvhdPp1agZt/XCb+yN0NR3rFY05cAn6qCMaJctFHl8Zvl1wArR/UVSQklYxWoannzn0/LQVYcdRYcpdjfXAY8MAwcyiX7MrHGwf88UmmfuUUyalXepdi4jmi4uG55eJcdaXCFB8IPNm3Chet3qotvcRJcvORIVUTH3TTpnwVgdx0QmxO5UPhx8akO0kZvQGw38t7i4OHB21bjfVZwH819BX15kMDqIdGAKoqIpdT35UDfL1LSIHRsF2vBIqHMv2DaJ7Fj/KaNPuu88qB37KAo6XisOb5QTaQByMJFJYBnqwQ5NnxUhvLqu6luWbzJtrlJUZgYtAQ5NfY9gWnwyo6/neDmbixH/DCuWZayGclAhIBiYBEQCIgEZAItC0EZE6uba1Xex2tJFLa68rKebU4AvLQbnFI23WHTIIsOiwk33fn26Z6SU+Al2GZwyFJ4eMJJAaL3B2l9V3Fc8uAj016cDOhed8Q4I5ZIl/E/JRiKK5+HxONVDs5ZQGYO3SUqn9itCAKfj3oapTAiNBafLFzOTwVp3TXTWxPNHpvOGtCMuXZtCH4ssA+gT0xpBL3VmciLzgQ9+fHnyZThsYBGxuTyiRA6G9BSS5XUkXMvZH0WOhAHF2S3FQRhreImZMjds6C02M1DaXWzAQNv5mTpKwXq4icBatueJnaSDKOuUTKtCnSWo79KpUX5Lg+DMnA2LW7miaNmUxmUpnlVxnFAlg3IC8xEiui4pEZF4F/7/exysnpBfvnd0BlJXWy/6HIQlyRl4HO+7ObvtfLHftSuuLDgK74tjDQShJq+ceopalIejEHa9QGQxkvv41wf/H9MG7rXYfwsnK8eryp34zWHDt5WvCp9wEM2XLAWtXQcLIMNwwej1VZxpPrwT4WfOd/AN12H8X7o4bjrcwAa45YK7h3SZCRwC1tNJdvDoHHvrm3d+aKaq4TZc5tKHjJ/57BwB9NkigVB4vw5EZf/JjjWp+I3MTb/UowuZFMeW2NIHe1FJVIFnPeN0WXYdznK11/9Ey03z4QSHCQf6MnyFvrbVCz5Ib73qgB1mUpwIRuoqyvrQWrM95cZ7yETpnf9WnASJMlSax4WXhIVLNwoWn4XlYjSChrFYmX+HdWnJAYuWUAEBWgj2hpNcC/eJMgwFeUY361w/Y8TXMczeb5U1YecW1d/ZJQv5k3EIqrBfFmIH4YNgB/Ko63+vUQKp5TD8zT5nVcdXdFb+AfF7h6Sv5cIiARkAhIBCQCEgGJQNtFQObk2u7ataeRSyKlPa2mnMtZRUAe2mcV3nbV+YpM4MH5zuWXYjoBb1wIjGgqje4UC/rxXv+Tvjy9Y+OBMcAHF4vE56XfikQNL1OTTGB+iFJAzE8xkU6SxFnO6LYBwEcGLyRT7uhvq1Y0b10NmvVu798NU6p7N7kIzjTlpPAqXBhdY/WcmHXCB4oClSKJxeTqOQmiSkXPm5hVNbwYvVTDpkMvYT8kDiiq0iclCAg9T1xV9GgBxzEzkc3cIquEyFk4C6re+HqIShqty/KUS+I8mBjXI1HYv7qag2TH86EnMelEJoKPqBjCxoHUhvrhyJBu1sqTPdXeWFPsg0HxbliWYcw3npUMJLnUxvPsmsn560NLMKoyHyGnatFgcUOety8W+Ubix4JOpz1xRnfRVurhuPtGAZuyxUCbQyio21Dy7rG0ajy72ddlJYR6jSaGV+G9zSvg3j8aC6M74459rn1lHNf4zwNrcajMA98f8DD0fbGCirljEi70UmD+X88Lm3ssKQQI8BaqVUeKxLqp587Pk98F88UkV5ToEggM7yIqtib1MDQ0u4c+nVuKpw84r+xRN+Cazh1aiB5DRWXa8SLg+33A3gLxbfAcYO6cY78U+cDb640nxVl6x/LAEBWp8/VOgIe7EqmRrg2OHGFgn1q6jebh+t+2cCSRjL6dm+UPw8QvHKPB0jRKiPEQ4C8rSqR1oklUg2CHFTaWRAfZg84mvVi4cV9aKTY4Q88AiGOmTJez8j/1nLzccWJMD8QtMSB9BuDUgBgcmJgGrwAhb0iSlkMb9pH5qlMO49q+wEvjjYIsn5MISAQkAhIBiYBEQCLQ9hCQObm2t2btccSSSGmPqyrndFYQkIf2WYG13XW69hhw8y/GEiFUJ/lkKsDku5lgUvS+ua7JFHr+kqyh5BTzUh9uEUlUJamqficT1byYW1WnLU/FdiQWjHpL3BxRiudWrzQzLduzBs166Zly/+CxVgN1vSDGrB6pqAFYDDHHQWmMF5rpVczcHRPGJCmYP+PfOWfH55X3OPOa6BosLkoz37c9RySwmaBm5QcT1BF+wE/7mgcNq0NYWTOWcltHXPfBhP+AGJGLJGFSWQcE+wDeniJHSWLBGSHDfdEnqqnv9sTEBqSWFyG9ogid6k/hlJcHMuIisMkSiMwqT2vfJOaIAy+zK142rkcsiBTHCiAj7Yj7oBh9bNX+JlRuouc718dIsG/uJSWnSnIp2NOCOYfNVxf8FHIQA4+fwGP9R2Bmphemh5Uiqq4G7rCgzNMLP5YH42SVduKZpIC/pwXzTbyXI+R+Wd7IAZDoWOywd1iNxiod7gVWdVTUib2aHCaKLkg2KhJ/Cl4kKXgmUBqQ+fK+kUB3e6sHfWjzKmy39gN9UF5Sg6nLA3GwzNPIcpx+5vGkUtwzxQD58skWwSiaiWv6AmMSRAtuYmoaKibm3AwsD2MJmpmgvNf0vmZatI5n5x0AfjFGEDQZ8NPjhCak2ThQICpF+JEqXiU8nHmQ8i9uPD9vs72K50kMvbdRHILe7sDQeG0Glr8EeFgoZWg6b7N4e2DO6AF4Lj8Kb/plYOSGvfqknRvQkB6LvAm9EJ1o7+XFiwx3zW4e0f7MWODW9ObBIVtJBCQCEgGJgERAIiARaAsIyJxcW1il9j9GSaS0/zWWM2whBOSh3UJAtuNuKmqBy78VN6KNBitGZkwT8u1mgrklms9/s7tpIjzMF7ihv/BFodIIY8ZO4NU1QiXFWTBpSsN4Rx+FUfRVOW58hFOiqvDW6qXGb4CruzZh1vvdkH54pNRYWc99g4F3NurPgeQJK3SU6g1FzkhLjsqIYTnXlHL5/LuSoOYl6Et7AT+fAZFCMovr1D8KWGiATCExsabRE4YSMiRWtKpstJDRu6ytEEn046BUHZVstp60Ycc5M89JImXWftvlbyM7iMl5ypflu9irjn2R3GC+W69ax5H8YvKf46TNgrPgHCjrRQKLQesHkp+0YDA7Rrb/Q1IFHlm9BouG90Xy0ZPout++ZKiwazhWRMfjM0s0NpXZEsWKXBvfr4zFCJ58hvuVpBnJQs6Z+XxK2zE4F96E16tS4TPcxyTltN5LxSoStk6DHxZJCPpV0P9oSYbt4PJ0x/yLh+LOPUZZGNubuvrXY/a4UgQnO5FX4ztfXuXaRMVxAizNeXA44OUB8HB/colgRRVAWM5mNkgEPDlWfMBtKX7eCyxo3DBmx/34aIBMZHODMl7UmSTpQWKD5VAtEXvzgC92iF+KZJdJzlAX0LF8j2wyZcZ4y4CyhaqfW1gW1ScSFQlheK8+BvGoxe5qb/TxrkF6YS567DkOT5YoArB08kJD70iUd4tApxFx8GRbjZi1D7h/nrkJsquF1zdVozPXi3xaIiARkAhIBCQCEgGJQOtGQObkWvf6dJTRSSKlo6y0nOcZIyAP7TOGsN13QFn322ebn+bnl4ob482JQ4WC9GCuhhJdlAzjrXW1ZDyfufZH4ctiJGIDhMwIZXuYQO4VAcT4A9/vNdJaPMMKjPnYjm67G13tjTbl9Xm+0MUNYKW7Bem9cUdlN0O9p0UAof7CMNtIkFi5OhX4qtEfXN1GLXdlpC/lGa4PE/rNrUhRm4VTIoyJcVoFUMqflS704Sipc7PmBpl45zqySkrtiTM4VpAHLvzbrRJPVNRRyzcp8+A4mBevtwh5NGfB/bivQJAjRmNKsrkL8Ezy944UZA6JAUefFMqYpccA6x2KEkgE0QqjutaCjSftq0uUyiJ62SjbkdJYrPBivchKk1tbmfv9varx6O4tLr018jqH4YXOaZhZJBLHxJE31jk3M7YNbMv5s+KM5A+DZApl0Pidkhwxsja8mM/9y0ojdVyZCvz9fJ2VJQFB8DaeEDJY3LDM+hJcHlh8cWEV3jl/NF492rxk+9zBBegzygkJszwD+EbjIzayGRUSgEzo06qKFIPyg5qvuH8oQFmwthRz9wOzHcr5jI6fxBE3T2sMMsDcl5tOAEeLgX4xghXmoaZm0FmyRYI/wh8N/EVa34B6SnnFRWD8phjUOcyN1VxVtcBf+1ViuG+1laE/UO8D7+gATE52DkRxlZDhPFJsHLDb04Gnxhp/Xj4pEZAISAQkAhIBiYBEoC0iIHNybXHV2t+YJZHS/tZUzugsISAP7bMEbDvq9rGFokLEbNzUH3j+HLOtjD//5m/A6+uMP88nmbRlPomXgJl0dyZlpdfzU2G5uH3tBnMvZvY+u9yYNhqAeQNTcVdFkqF3cA70cdhfaMxofHoqcO9A4KW1TT07mmsYf3FPkTve1ij5ZWjgjQ9Rqi2zRBAYTNSxEiSvrAF3hxRhfNlJxJ4ogHd1Hao7+SCjcxTm+kbjg/xgq5yXOroGicqbY2X6b2eelxUvM3Tyz2O6AFaCwWD1FffTtpM203Nn8yadcU0qUH5KvIPBPDZVfrS8XnjJf0KSbY20qoX4ZyQAtGTMHulVibtXr8OqAb2wKigKWTWeKKlxs8qRHS0R76cMGKsyeDmeJvXX9tEm2FytZ5xvPb5z243OW42xeQWxoXiwSzqyPfys3yOrY4zK6zmORY0LScJxXUWlkJnqFlbQkbRTzOu5VpQUukVLUuhwEUrnH8Fmz2CUuHvC3WJBfEMN+h/IhAe1wxhMsPt64p/d0/DG0eYl239Kz8fAsRH60M8/CMxsZgkYK1IoNcj4cjuwupE9Myg/qDmouwYB/WNcbZXW9fMt2cAHm82PKS4AeHQU4GOy5NL8m86sBQ9EEif0YeFYD+QLhvqURZRipUUDoTa/nDfXAa//Zu6VJHi/nmbMLmZDFnDLL8Yq+djv25Oap55mbgbyaYmAREAiIBGQCEgEJAK/LwIyJ/f74i/fLhCQRIrcCRIBgwjIQ9sgUB34sQu+EDfvzQYTnN9cYbaVseepiDLxS1tC2lgrYcR+qMhmxE6JJyWHaLSPBP96fFG6DV0PNWoiuWrIjDgTlLwhbDA+GzYQTxXHWi+5swKDl9yZE2PCnAlv9c19pYpkak/AwwNYlqktdcaKgwu7CVUf3tjPKwfe2yQqWdTyR5RHUnwnjAyXfbGSY+VRYFh8U/k0V32oq2CocHNnTBmuPrAHkUd08HIDDqd2wVOdkrGqxPd097xczaqUgmpgX7793hgQLQzJSVhUnhJ+Oloxtqvxyh6lvSuDdyb3SXYRp/VZwqdDCcXrxc1NyJQp60qfDn4/9FRhdQxDi/TTe/d5icJQvU94Pc7zLcekrbvR4O6GX1N74ZjFFzV+XsiqogSPm9UnhBxfTgUwLQVYflQoDpmJZ0JzcOs6J/pyGp2tGtgL74T2sFaeNYfQVLq8vq/NV4mVZiE+wD/Xmxm9eFa9D4fGAV9OBbwdrCqOHijHrxur8UV5KI5W2ksYnRNWjUvr83DhgYPwL6oEwvzw78GD8GJm8ypSFgwvRK9hwnBeMxYfBn7YY36ibPHICKBbY9+7coF3GonhMyFS/jhMVN21paCs1WtrgJPl5kbNcqVzjRHd5jr+fZ/OLBJExyGDVSM8254bB9zY3/i4aenz+CLgYJF+m8k9hFJcay34MT5b+aREQCIgEZAISAQkAhIB1wjInJxrjOQTZx8BSaScfYzlG9oJAvLQbicLeZamweT9mP/aiAczryEB8MvVZloYf3beIWFeayboo0wVE/VN9SBvIRPPSgozMTmqCs9m7UDUYRfkCEmUvlGibEGr7EDjpdUhfrh3wBjUeHmh9pTwgFCS6ZS1p5QRE1iUe+oeKszWc1WJ75v6AX5u9agoq0dDvQX+7g1IC6rD2BRvhMbYiAe+mpeV1x8X0lDshzf5fT1EVYejCbcWPry5f20a8NUOMT0SKVSPUbyrXWHK9eAYWJHCuD68DE/v2QCfRv19Z+1zu4TjgZgBWFsq5tQvGqDcG4kK9ksjehIUDMp40UOFZA+rH0hYkEBQB1WNOG4SCmaCJBLxY5WTY1B6akI3YYKuVTWiPM/nKGnGahEaobMixtHjxLEihcl+zk8ta0X/Fg834T+ulj0bEdeApzqdQJ/fDuBgdAQWB0Xj+/oIZJa5W/ugFBh9s0lGcQx6RJMWLiT7FjRsReLeRn0tg+Bxn780egz+e8DLSsQ5+hcZ7AZX9AaGxQBXpInv4s7ZNp8Uo33wOTWR8ochwCMj7Vtvz6rHg79acKjCeRXCtLByPHlkG8JOFmP9lcNw5Xbz5MKwsDp8cX4tvKk5phc0lHrfHHll7crfE3hyHEC2jsGN+c56wabyI6BfBqXKzAQZrD+PAvybaZJu5l0t/ezSI8B3JkoueQj/ZYwo52qHQcW4vy4R54Cz4Lf2wFDgoeHmQeA5uyITmHMAWHVM/A4giU5fInpf8Rzjr04ZEgGJgERAIiARkAhIBDoCAjIn1xFWufXPURIprX+N5AhbCQLy0G4lC9GKh3H9TyIBbTZ4q/TdyWZbGXv+u13AI4uMPas8pVd90hxfELapKKrFQ5ZjGHb4KHx5A10dzDINjUdlQij8v21kGQwOd+fF/fFEaWdr5YmzoOwTSQO1b8bY4CrcfSoLgw8fhQ9F6dXBBCBLGIbGA3FBYMKM0mjq90zvDewthFU2iz7FzuSR2N09g4Tmvdob5bwkIc1fUuN8/CQ7wv2EsTmrCCK86vHSnvUIOVZoEClgT/8kXFybaiUxnK2jUtmjeIlwjEscDO2bU53EgbJvkjgkLxzjwu7AIlVVibOJccvwm1lwGBje2b4qiElFEicK2cAKGyYjz00E9heIvDcxoMyXns/IsDgLhvlW4r2MTrp5cnqM3NTPgg+2uBn2K7kushwvrllh3uAEwILxA3HH8Vir/wuJI7V9g5FNwOQrVfNIhCqeTBM+d24wr9cv15DyXtN6A0+Psq9G4Z/f+nODlXgyEtPDyvD87vXwjPbDLZGDsSLfHMHwao8iTJ/sxGieg6g5Bfx9jZBqMhMTewBTetm3IIv6741AQZUgU8yWIFoz4N3NjKL1PMtN9+1OY9pyZCnvHCQksdpxsHLuoy3AkgxtAjg1AmBRzq1a0ncmcOFFjfI6oO4U4Ocl/pIhEZAISAQkAhIBiYBEoKMhIHNyHW3FW+d8JZHSOtdFjqoVIiAP7Va4KK1sSP/dCjyz3PygXhoPXNvXfDsjLX7cAzy0wMiTtmf0Eu28hR/m17QCQK933t5nAndXYzHKgOBaTHMrQHxtJboFWpAY6wW3HqFAfBBQVw/8tBdYlmFosEUDO+Pu4DSsO2EsYcvkP6stSFpMCSnHs0e3IzzbiWYKRxHqiwOXpmPSujDNhDolwry8gAMFQKCPkBRjdYriScLENafG/CMJE0qBUU5MHaxMYfKfXtyO5u9RnQAm4ijNf6pekANF1cAT4bm4fbVJ7xlPdzw6bAzmlgZY8796VTQkIdSVPaxWoV+KWtbtTOSltNpyPPT/oGyW0aD8WLCvKBqgBB0rhBjEkxVI9I8hfoeLRP6cUnWO2Gu9i/uVFWJGCFGSKZO625Njzsb/eHge7lnTDC0tAOtHpWJ6gZBIIoZmZfbU3zTPmmdHA+d96fo2vdZ8uF6UhiPmL5wDhKkKDl5eJWTwzMR/Aw7j3E17MG/aSNy10wUpouq4u/8pfD2kBFEDnBjNK8+bNZxnhdajI4FEjfGQTOHBSiaOpV1Gq1L4Mf1xuNiYbSmsZWklQgeRHiKsyOEG1GMi+UuC5Xc8ODpIsFpx7kFRpUdY/L3EWURPrACfDgKCnKZEQCIgEZAISAQkAhKBs4yAzMmdZYBl94YQkESKIZjkQxIBq6GQFQYLs6UyJAIaCDDXNOELc7fFWc2w4PqzZxRLOaOrvje+XEwA0SOEajhaQWsAb3dgpwulrq7BIl9IgkArmAz+03BR9HE6qMM/a79rMqVXOF5JG4x3d5gzMGaRSVVRDd7P3oTILBckSuOgqoN88VTqUHxbpG+EzeoIzpVSXzSyZ/ULT4njpfaX4PVkmXh5mzJklK1iOx4x9HrxcRe3kJXqEA6Jz8xz34Eeu8yXPi0d3BtfRXaz+ononWJaRAerYdJjRCUJiaiWJlJceafo7V6lnUISsFLlqlRBDrD6JFclPaZlQK/Vr1HCRWkb5S/kdX495PwbI0HzUlweLp7XPCJl35heeNujM37J9gVJQS3iTW8E/KZJDikVWdxDq24Cbp1tIzmNnxDCk4bkKIkUyuM9d46QTjtRCpz/hQXldY06cQY7vSqiHK/9thKWtEh80jUFz+0NcNky1q8e7/UpxtyGcOve5F4gmakb1XXAVzv1DyTHhlf3BcYm6PdHQoEM3p48oUenpVenbh3gLSo0eLi2laCU2Y4cgM7n23Nto+YGogxjJ29RmlRSLdjgbqHiICOBwp/JkAhIBCQCEgGJgERAIiARkAi0IAIyJ9eCYMqumo2AJFKaDZ1s2NEQkId2R1vx5s33vY3Ay6uNt31m7JnLfjh7Gws9bvzZuK8C5ex5cVptqu7YPytNEkIA2nMo1SbKM8rPCiqFB4hW0HKgcxAwIl4Y5doFB0y5nC3ZwtRCfeuZCbohcSjoHoWr5no7NeHVei9vCN9QeRSXrNthfIEAbBnQA5dWOUj8OPRwS3/bjWS9zs0YtLOiIsCrKWGVGlKPX/csNW6uohpMfr94nIcBTqXEnBEOzJ1yb/CvX/abgvD0w5TwYsUOl5W5aJJInh728lxGe2b1DOXWKHfFC/Lse6mOxI4ROTJ6A9FLx5VUnOP4JiQCpyxC2medw5blXidu9PDpX1uCJ1evMjo9++eSw7EoOAa3lSaCNAVVpyiF5qoYgnJq9J6hRzgrjZT4bKooAFNLzRkd2JRk2/qTvPplulBw+mYX8JhJGUG+kzn4xW7bkFhVDktlLWaOTMdbxwJwsKwpUcq5XxRTg3u7lGHyBpunCqu/7hgoZJS87b3tbdNi2dOsfc7LjTiY6X2AEV2EkYyR2JsvFmO3BrvMLgbFAeOTxKHZVqKyVmwQV6VP3UOAy1NF6Z0u8G1l0nKcEgGJgERAIiARkAhIBCQCrRkBmZNrzavTccYmiZSOs9ZypmeIgDy0zxDADtKcRRWvrRW66a7ivsHAH4cBPuYKK1x12+Tn9Ad+ZKGxZky89okUHhKugvJK5yQCmcXiRjrzjpRRogezs1AqCOgdsvRGIFav2IPZX952ZtadN5ypLebhjvc2AC+vcTW6pj9njvTHiMPov3KPqcb1fp64J30c5hfYG9CrO6GEy+wDzrtlZQeNyh3JJ61WlAFb7iADxudGh9fhy02Lm+qAGZhRfnIMhroPQr2Tojo9g3l194p8FqXI+DznxMivFJf09YL5aeac6dOhBDGhEpAz4k6vP5IeZTUAq6S4PWjKrDaOV9rRY4aSaOoKFa0+jZAtWu0UXxnuZxIqJIgY/CZYtUFJOUa4jwXzSzcgMsNFOZfjS6ghFhOAU7mVeG3gELyfF2IloJRv76AO5mkRDbg/tBB3H4iw+uKo5co+ugTILgOeXm7OsoXFCDStn7HLNsiHhgEPDgfe3QC80ozvkj395LMXA6uLRSkRgPLJyVjtHY61Zb4osXjACxbEe9bhnMhafJTbCTMztb/FuwYBDw93cqbyLKHeGystVh21bRhu4pFdgLQoINp1RUyTfcBFP1IkNjjLyEigUHuO5C/L89pSsLrm+93igzIS/IjvHeLkIDfSiXxGIiARkAhIBCQCEgGJgERAIuAcAZmTkzukNSAgiZTWsApyDG0CAXlot4llahWDpLfxz3uBL3bYK6IogxsYA1zXD5iaDHjp3Z5uwZlU1AJPLDF++5y3ukm+GAlK6rBwhLfxjUQnL3FDn20YP14pLmybib8uAb40V1RyuvvP/A5i3NZ9Zl5nfXbFeQPwsWc83N1FRUZhtc2E/Y50cRu/tNGnw1nnvJjOqgk9ewG27R0hkv70s3aMlOB6zN+31LVDvcYgjqd2xqj6/k7nTrJpSk/gRycQUcLs8hTgWJnIHZ8oF3JkzD/TP4Nzc5SempAkqqIU/xhlEEYqoPQG3C1EyKjRR2apk5yvnuePY79G5b+0xsO2JE4U+Sy9Mf8jOAtXrN9qbv+lRAD78q16bFUh/ng3bQD+lSu8O2IDgO5hAn+FwKEsXD+/aty5ezsaPDwwzGMQutKrpx6gvQfjm2nA8M7A7bNglXozGvSEIcFXecrWgoTW4hunro/HAAAgAElEQVSAdzcCrzaTSPnRZy8G1ZXYytjoZD++m3VOjy4EfthrdITA8+cANznf5qIzbkYy32SAqX92thlt41P4fZ+kXNlbJiXozksErujz+45bvl0iIBGQCEgEJAISAYmARKBdIyBzcu16edvM5CSR0maWSg7090ZAHtq/9wq0vfdTln9tllB8oeE4b6yTRKAvCC+Z/y+jsBJ4cbVrguTmfsC0VOCyb13L/nP8zEFSUmnBITitdOCzvLnPSosFqsStktA1g8Xji+xvxJtp+7H/IYzfYiIr29j53IGpuKdCmH0z6InCuWw/KWwB1Df0nY2H6jckU+Yf0idTnCX+WYnwq+dO9Npp8La4ajC/jUrFVfm2OTiOkz4eJARKq4GtudpePySROF8m0/VsIThG2kuw8oaEEI3JWXFCfxXHYIUDPS7UPjBG13NwnCgsGBIvigu0gtUzeRXAYRdVUmx7pt4v7MMVkZIWWIsPc7Yg5piO7p3DJE4F+WD1kBTkl1owqigHMYdy0ODtgW29k7AgIApfFIegtNGThGfKDWGlmFCRg0H7MuBVUYuMvl0xri7N2qtCFJHs+nk6QNuOBQeBtzcA21QWGHr4c939PIDVx+2fYEHCypuFutWTy8yrznG/LPbZiaSSElHOxuoQVjhE+GPTCeDy74zuCPEcK+XmXScqnWQ0A4GvdxqvRlG658FGnUYyowyWipHlZGUOzWtIVMmQCEgEJAISAYmAREAiIBGQCJwBAjIndwbgyaYthoAkUloMStlRe0dAHtrtfYXb//xI5qw7LpL4rDhR/BVIcFB2iYQISR7mxJ5bDnxs8OI8qxiu6gOsPw5d3xLKhTFhTsUY3oxXYt61QO9Ic9j/bQXwgQHpNK1ev/fbhyFbD5p7IYDZA/vgvorEJu14ETvMF/jeBDdDfFnJQ+UyLZmvUV0sWH1M35/hz+H5uHfNb+bm4O2BN88fi421/tZ133pSqBqRCEsJB8L8gfIa4Q/CN0/tBczcZ29Kz1wok/FLMoy9moQQiQ7uKWdVD801m2f/67MAVnjRm8QxaLB+Tnw9dhW6YVGGu8tBtwSRwkocV74lE0Mq8bes7Yg8LmSs9KI62BfvpqXjzTxhUB7oZcENwcWYlpeJHvvFhAuGJqIQnrBU1iG0ugqRh3LtFu37oQPwcEm89Vllfk+NBW5Ph2DyDhdib0YN/l0bjblHPKyEr2Nw3Un+UbpNTRRR1q1LMNDQICpdahvEtxDiB9DqiJ4srjzY+a4rIyrw9/I9wPYckYi/Nf20n8grq4B3N7lcuiYPvHEBcFlv8+06fAuaW/HwN7JwjmBdnwZEdhLrSB05pUyR5kNjEoRsGmXOWLolQyIgEZAISAQkAhIBiYBEQCJgEgGZkzMJmHz8rCAgiZSzAqvstD0iIA/t9riqHXdOx0qAwiqA6WX6SwT4iIoRyvozmE97ZJFNvsoZUkyuU2KI/hhBvk1lhpisp388KwPOSwI2nBC31lnR8ckUq+2JNShPdKRY/Iy31KMCxO1yx1h3DLhlVlOZKFermRJqwcyDy+GbX+Hq0SY//2T4IDxbFKPZblqKOekhpRPmjG9KE9UaJJcIQ6gf4FZ3Cl/t1y9ZivdvwMyijaa8NnYM7I4plSnW3LlVvitZVCQwX0qsP1dJpUX6C3KFe2LJEZsdi55vizMwmbCndwxJI70gycafa0mZ6bVhZQwtczhWJvcVco57jfsxLoCEhgU3+ORhd6U3nj6kb/RNPAbEAMmhYh3p/WImWPnA9+0v1Cd1HPsbEVSNuxuyMDzjKHz5samCnjzbeyVghl88vilsaiCU4HcK/2o4gAFF+WIBs7XBrQ30wc19xmB1kY91zUlkskLoi8uArmWlwC97gZ2Nfi3uwKdXjcemCl8U05YIYl+E+Ir98uMe8WdK8Ds+WAgcLdFGimcJPWf25OsO73TDj+NPYPyufcKxfmTX06Y7lEgc818gx/zniuv6Ai+ON7OK8lkrAqwIenW1eTB4mFE/zpm5FvmTS5Ktkm3/E01L87OQLSQCEgGJgERAIiARkAhIBFoxAjIn14oXpwMNTRIpHWix5VTPDAF5aJ8ZfrJ160KgslYkoH89BPx6EKCPCm+eX9ANuKin8F2uPQX8Z7OoTNFKLrOy4sZ+os19vwJ59vlg3Qmf3w1YlgG8NkHcGmclxKpjwJwDwKz9tgv1AV7AdWkAn6ePCpPkStw7B5hjsrDkpn7A8xlbBJNjIqrCO+GqbqOwvVRbnoZVKUarNNSv5XyeGC28JaiCw4vbNK0PLK/Evw41SuTojPPysHI8f2ATAvOdMBSNbbOSonBveH9sLfO2epiQ9NpyUhihM4ZQIksl5XVuovBxIdz8mbenMCZnrlTxtjEK39A4kUxX3qXXbmJ3YN4ho72K6inOYUiskHAiAVdvEe2Vahv+c7C3Bff3qMScfH9szbW/Cc/50H6EPhybs0V7jpdeLmZCXVFzToK4jK+MxVU/Q8Nq8Y+wbGt1yiafYByHL5Z4hmN+gbaZutJfYqd6/NeyF0lb9MuDlo7oi5sLE6xNKHF2sgx4cyKQfqoEeH8jUFRtN7xt/btjanUKrVicBv1uVh+z+bQ7e5h4ZpQIAkcrroivwf91LYBvjxBRFqUKEr3DPzJPbLGLKb2Atya6Ql/+vAkCzSFSyLbxIzxcZAzQyT2BST3tD3RjLeVTEgGJgERAIiARkAhIBCQCHRgBmZPrwIvfiqYuiZRWtBhyKK0bAXlot+71kaMzjgB9q2nYvjFbv03/KOClCQCrBZhbY2KdMk0ltZQYAvpECbmfbqHAn+abq8jgDfeLugM39BdVBU8vAxYdcT7+h4cDdw6yecv8vAd4arlxP4YuQcDr5wND87MFO2Qilg7qjZvLu+m2aE5FBTsb3QX48nKAXjqsqKCHDv2ul2+uwI0rNUpxHEYwNawCfy7Yh/gD2fYaXMpznu7Y3TcBT3j2wOYyb/QKF4/td1CUYuUBiTMSAMSJFUJcc3Uw90lJOLOKP6QuRnXV9zBR3sG501eFEmCsmtEL9kdi7VAhkBoppORI1LiKab0t2JTtdnpeNEhn/pfyU+ogKUKySFElctUvya/eETaPF+5tEg3EyhUhQX+YJ1MqcPOuHfg4PAnPFUa7ep3dzx8NL8D9a9Zpttk6sCduO9UD+TWi3Ovm/sDVfYDe/rXAm+uA442u86rWFl9P3DdoLObk65uLsKqFpBWrVoyGHtF4eXIDnhznjnAdzrC8FhjxsfFvXD2eK1KBf5xvdITyudMIUL/t2WXOP0JHuPgBGPkI1e3uHyo+YBkSAYmAREAiIBGQCEgEJAISAYMIyJycQaDkY2cVAUmknFV4ZeftCQF5aLen1ey4czlQANw2C8jUkeRRI0O5oo+nOPcwYf5s8ldNb+DTgJreJ7ztz2D1BasaFNPvi3oIWSZeYl55zNh6/Gk48IehtovMH28B/rkOKG2srNDrhWTNYyOBS5NOCY2x1UdFCYaByO0cjj/EpmNdqY/Tp1lJQgkrM/HgUOChEU1bVFfV45rvGrC5yLVBc4CXBTeGFGNCeS56VRTDo7IOtQE+yIgIwwy3KHxfEGj17OCF8cRgfeUdVqpwjaI6CULFMRSjcjPzU57V8x7husQGisoXVjPRZ4PPVtUJgkNd1UGyZ1CsqKZhA38PIKfSXCXQ1anA0VLxHkrYbctpOhuOhdUuJPZckUYkf+jT4uj/QlkryqDR/yarKV9hfWn3EAvuiCnDNbNWoqJfHC73TMPeMn05Ny3cY/0aMLfgN4QdK7T9OLoTVvTqjgeK4lFUK0iUwbHAR5cI7xKre/tH+gZDB3p3wW0+qcis0h5Lc/xsHMk5YnZ5L2BiDyErqBeU+rtrjiClzMafRwq/ehnNQODL7aLkyEgE+QiNQH5UZoKb4No0My3ksxIBiYBEQCIgEZAISAQkAh0cAZmT6+AboJVMXxIprWQh5DBaPwLy0G79ayRH6BwBkhp3zwEWHDaOFKsmPpkqDOi14r2NwMsqSX0mx1mlQlkeRyP1zoFAUqjwX6GqUIgP0MkHoEG30fh6mki2K/HNTiEJxeS/o8l3Jy+AUkuXpQDnB5QDM3YIIwuyPCxHoKmLkzjZJQLPxKVhXrFzmS12cVWqqGQwQlDxeeL6jwtO20HYjWJnDjBrXz3e36IDusaYafzN+Z6sAAZEAdty7T1HmLdcpUGQqLtixUpSMDBPY3+ciRH7GFa7NOZlWbFBQoT76VgpcLxUeOPEBIi9wX+mVzV9qelbXVYjJMXYLqsUiAsEvt0NDO8MrDnmuupDPT9fTyA9WvRBLxS9IGlzTqLw/6B/jVakRgCUQPtmtzBh14puIUBcEODtbgGrKxgR3g0Y7lGGKfv2I/SQ8CdZfW4/XHuii9FPwO65/3TOxoXHMsWfubuh3M0do72HnFbtIkH26gRgYGyjufyHm4X2mZPY2ycBj/klY1uZPcvBb5skkUKGmhnwPYNEAQKxpx8N19NIzNoH3D/PyJO2Z7h+c68BUmTBgznglKd35QLvbDDWltp4ew2UhDn2xkV6YgwQ09QDyNiL5VMSAYmAREAiIBGQCEgEJAIdDQGZk+toK9465yuJlNa5LnJUrRABeWi3wkWRQzKFAAmLad+JCgDK6XTytKCszs1KejiLGZcL6ScGE918vvqUkNl68zfg0+3iZz1CAX9vkQh3FryhzsQ5k6kcixlPigeGAiM7CyLGzU2Y0TPpvvQIsDRTJN4ZrMBg1ctwjpvm8pTzYtZeCWoydQ4SGk7UKlLpSVV1j8DsiM74tD4SOxySyXrzGtcVuKoP8Pe1ojtnQRLlr6OAPhpKTuR63lwv5IxIFix2IXnG9xBL+jyvbySkHEkPVprwz4xcMufY6FfjGGdCpFzRG/h+D8DL66xsWZapL53F/ColvtwswJYcUZVCAm53vtgvHAcJQS4dCRUzQfJjaLwglCgJ5ipY/dI9TOx5kiFh1dWIqq/GmLpCbAwIx3elIbhrELAhW0jfcc3U0SPEgvHh1bjp8F7EH80Vbu38cBxiznmDcG9WjKvhaP78tcDjuGrjttM/mzekD+4qTbT6HU3sBtwxEEiNavxxSTXw18WCzUgMse15lgBttf9oy2KCsKpLV8z2jsTcAn/r58Hvzsy3qh7wlGTgrUnmp8ghXzxDVBIZDZKar0lZL6NwNX2urh4gQ21kscnU6bGNrkZw3xChESlDIFBYKcyyeGCzyodlczIkAhIBiYBEQCIgEZAISAROIyBzcnIztAYEJJHSGlZBjqFNICAP7TaxTHKQThD411oLGo4U4byyHCTn5sO3pg6Vft7YHRWFxZ2i8FlxMMrr7A252d2tAwDKarHqg/JVCw6J6g96PDDpzWQ/k86UhdKSS9IaEpPjTGpnlwvTe1fBfF10AHCitOmNeFZbXNYLuKC7SNY3CbITWnpVfJCTYFJZCTc31BZX45buI7Cq0Lmcl/o901KA1y8E1h8HZu4X1RKON/dZiTEsDrihn6hUcIxvdwEvrLQl5Mn10CSc8mlaElGK3BXJBrXXhyPpQQKB7UscEv1amOsRJvSBoXqPgz+5q2WzJvRvGyDUpEjGufLCUTqc1F2Yme8tEFUQrPSh1wbJoJp64a1DPmCDwWomSlIx39sjzHVljtakOIYZMUcxaMkO649JNLw3ZgTe2S4ksF48BzhZUIvqslPwgAVd3Gpx8f59CD7caEhDZo+sHxkJxTyFn5q7G+YlJOGuI81LKL8eeBTTNooxNfh44JtLRuOIVwAuTgb6ORJ1W7OBLSfFQqo3FJO2yWGCBV1zVBA+jWHx8UBuUhSqUqKxuUs8Hlrgcsk1HyCp+d7k5rXl+XDLTGPm9pzGB5fYf9LNe2sHb8USqu93A+uznAPRNxLYKSqrTAdZyP7NIxBNv6u1NiBpRb1NEplrj9n0DH09gNEJ4iNmiSfJFRkSAYmAREAiIBGQCEgEOjgCMifXwTdAK5m+JFJayULIYbR+BOSh3frXqKVGSKPtJUdEEpd5DiaD+0cLKR/KDbXJyK1A4Vd7ELZfp1zEDcjs1RnPBidjSbG92TST6JThWq1BeCi31I1IRzniRi8K3uJnopRSTwNjhNE5Kw5YbWLNM7sDzCmxysOFEhcmdgeeP0cQLqfjZDnwfyuamrg4W0R3N2yc0A8lhXXoWVkKH0s9qtw9sNs/BLO8o/Brvp+dkThzXP+6ELikl63TnDJg9kEhY8Y5JAQBlySLS970haH/RqgfcG4CEBUAFFUB1/wA7HEwgmePNEanl0hDg8jBs0KCOEX5C/mpTQ5KTY6VA6wCoeyYK/NzvsvZOjZnjUd1ATzdgMRQ4FNb4YShT2h6H2F6vzlbVKKwKkUto0XPF1ZW7c5znmTnGCgzR4P0M/F6eTmhANcssJm7L5o4GLcdsbEVw0Jq8fneVfApUZV4cXPwA6qsBTw97EkUMlsny7F1XCqmnkwyhInjQ1/5H8SoLfvEH5+XBNBlXSuWHRGMZ4GT8jMyc1zkDVlApUPlzPgkLE5Pxa2zmjVM6FWklFYC3+wVamMnyoU/TqivqDjit3FRsngficmH5gvpOr0YGge8NF6QZTJaAAFWT5F84+FBbyl1BPsIFp2/HL/Z1byXPTgMSI5oXtv20Irlkz/tAda5IKsm9RC3BHzMeSi1B4jkHCQCEgGJgERAIiARkAioEZA5ObkfWgMCkkhpDasgx9AmEJCHdptYpjMaZE65UID6fLu49e4YYb7AXYOBG9PE5e02E9aJbRLlHy6iIC4UD3dOx9ISG5lCKS4GPS0cgzf9meimv8Zm59YLTdoyYXp+N1EpwBv/rKpw9Dlho6QQQSZQckpDGcmuX5IplPVRKlMaFh6C+09ODDEcR8XSGvqncFAabuMNvp7Y2rcbnrAkYne5MIMf2xX4/DJ9YMtrgK92CkkrR18PYjshSchzvaTymnG1TsrPr+kDzHDIY7LwgfNXFHdIUJFI0NrTju9hVRGnv1+D0BkSJ/KpjhJWemOlGTu9Rmi5wMS4EaUgdV9DYoHkcFE8wb1RVisuZnM+fl5AzSmgopGfCPQBaLvBy/FqqTra4XBJlUvzZ0Kk3NenFvUnK+BjaUDPUxXo41+DiXk97XB9KToX167aKCpPyASO6CIGRI0qx++PH0B0ABpONeCOqHQsKjAn5TMoqBZfHVwN36JKgGzR5SmAn8bBtDoTmHXA2MJxzOMSgBWZdpUpuLE/ivp31iX7XO1XLfP3b3cC3+7RryrimcBKllsGiMKFvApgWQbAz5l7icQguZ+pvQDmmgmBM/N6V2NsDz//eqfgPVhQwqXk7yl+Lzf2P4PZkdk+UgQUVguWmyDzUOZHR2bzbyv0tfr0XssD77GRgK84QztcVNeJXwpGDcJIpJCJJ4MuQyIgEZAISAQkAhIBiUAHRUDm5DrowreyaUsipZUtiBxO60VAHtqtd21aYmRUu3lwvkhCuYpr+gJPj2kjZAoTXyRRduS6mtbpnx/u0wUTLf1OJ4h5oZ72IlrSUFQsoqE7k5tGKh4cB3F9GrAkQ6gNuQqSLszvuiIE3rhQGMwzmVj16Xb8P3vXAR5VmXZPSEiFkB4CIQESSKihl9A7CIIodlzX8ltXV7dY17q6lnVXXbur4NoLgqAiCNJBeu8ECIRAQnoCSSDtf858GTOZ3Jm5d0iZJO/7PDyr5Kvnu/fGfc/3nhO6Q8P0Q2sy6kUxAa6DcDrZJQJ3+fdEvpsnnh2jigG0gpUpT64Glhy1vTuSAzRkX+3ADF5rBJIwJGisOR/L6hHm67k1vQo8lNDimWjFuE6qgqiwxP5pMQlOEoXPDckMXrqmHY3RmNFVSaUxSIh0CwU22pm/ZxjQqmXVJW8SfZaqbpfi9XJtd2Uub44OvmUY0akFsovdfjtfJvZfDkvDlRt3ogUz2GSBtBhISyCCfLCwb0/cf0qfvFdHvzJc7p2HqR45iCk5j5L2/vAb1QFwd9eG941NSh9Ob5jKwyIU0AyycjQGb+2Fp1YBHxmsLCIJ+tWVQKhFpRjV9v69CThrp8LEvFxWWPF7260SHlYJkpvid4BkXaOtEtR7HjrafbRDvbOsGrT+FvD7QgKR7+7t/XQMZrTJvH22Pxi2xrqqGzCus9GZmk77tSeAL/Ya2889AwF+4CQEAUFAEBAEBAFBQBBopghITq6ZHryLbVuIFBc7EFmO6yIgH23XPZtLXRm5BpIoiyoTtnrGe3QYcNcAPS0buA3111+tkiPStZoWbngqcTg+ylClKNbJaOsxrBPMuuaoNKdnWz3G3+YxSVhQds1eUBLow+nA8+uAW3fvQuR+HSYs3h4Ay0MMGCcfGhSL5OFxmBSrvRqqOf11ufKVsResAGEVibV6jh4c6X9Cf2J6iFgG/55+JmZOyNYZUh6M6jqlZVVyaiRBmHz9xQaZwgqc3AvAbhsqcX3ClWwZqwei2iipJapKORNm4oP40MpGD9FJ4iY+RPmpWMuRsaqG63ZExlmvlWQA5e2sZdTYjmO2bwV8Z/H9eCQ6D3cd2wc3nQ93YccgPBGVgHnpvjZhSvQvxk1Ix/BTp+B/JreqnRuQ1a0dzncNQfiwtvDys7jlv64yYWuU5RzQruq2vEnbzxuY0gVbinxwz2LgbKH+07y9L/DEyKr2B88C9y4FkrL1j9EUDeTLLpQhY3cW3I/mwP0iTcZbwCPcD/79Q4Eg28+BNWrvbQXe2ebYv4hWOPcOAJiPr9U4kQu8vhEo1smUhvoC9w0CQhqrTuYlokdGmXhRr9JI0GRqdm8jPaStICAICAKCgCAgCAgCTQoByck1qeNstJsRIqXRHp0svL4RkI92fSNef/PREmDWPGPzUSJ+2WwrPw5jQ9RP62/3O5XF3tAvDtefjzVJ5wyJVElpW2HtyaF3Y854bnQLATIKq3tlaM33/jTgvp+ARe57Eb/nhKlJXrsAbIxoh4wWSv4ouLwEg8+eQVBKtsq8H8o0VlZDo/onRgEh2klPmseTSHEUVLkhj0M/EKNBhR3mza2rTVhU8KfBwNxdQPp5gJ7QJFXMFhkkULpX/p01gcNtDWqv+ny9v3qClpUtJEd8PZQHMiuJSOSQmGDhQls/gFVKc3aqCiaONbUL8F2ljYfR/ZmJFHtVMlpjkhNr7akkwCgLZg4+z4PbG5cZY2UM8WvprggnKh1Z+rWP6wgczQaSK+XvtnVMQshSY5vOHhKNFz064qsMS5MftfLrgvLxyPE9CEyz/5Ck9ekAv5ld0Dq0Uppv7g7b2ln2DoMHSUbNrQVALwc+OGSTbumLz0/5mGTo8i86Pk1Kc700FvC3sF16aT3w9lbHfS1bkMd5ZzKQGG2snyu2Li2rQNqaMwj89Tj8TtU8z3IvdxQOiUariR0VI2knvtoLvPyr4++heQi+o38dAvyuTy0js/cs8OF2xwwly+NYFtMpsJYX0IiGO5ABvLHZ+ILJbrMyjIZZEoKAICAICAKCgCAgCDRDBCQn1wwP3QW3LESKCx6KLMk1EZCPtmueS22s6h/rgPe2GR/pxXEAZb5cOp5ZpTLpBiOza1sMdu9vIlFINNm7wU8ihXJPRi69M6HHCgNbVQ32lquHgLmxJ/DZXuDFgNMYnZaChe0747OiIJwsrC5/FOFTjtm+OZjhnoUOax2Ujmgt6poeSsNKI+7+EVic5Bh4yhPRY2anjQoPeyMMiFDm9bQvMAd9YojtjkrPGqqVkUwwy4CRRGEubstp+2tjHv2KeEWWtGulPEronWIusqAHQ9+2QOcgYNtpgBfNSTCyaoTvBZVrmGy/ujvwjYUklmNEqlrw2SJxRl8Wo4/xmI6qL3O8lkEvDWLjSJ7M3IfkEfdFs3tzdA5QRNLKZKCs0g7l3oHAm1uANp4V2Fm8CS1YDWYk/FqiODIAS7t3xce5ASbvIZ7dpIBCvHJsG/wzNEyKNMZP6xeFoOu7wdPPA3h7S00A9KyJSdtpXdSLTRDNQWbrpgSTv/hHO6tjYjksSSzK65HMC7TiGWcvqC63pmc5bHNzAvDsaL2tXbNdcUkF0n9MRvTPjl+IC1EB8Lqtj13tMlZSGrGAIirTugJvTakDfJKylM7gjjM1fxnweeKzM6qjMkxqzrHuJPD5HucQ4EemRyOU98otBrIKle4c2W3qNJKVlhAEBAFBQBAQBAQBQcAAApKTMwCWNK0zBIRIqTNoZeCmhoB8tJ07UfpUrD8JHM5WHgm8Pd87HKByDG/NN3RwTSM/0mWLUWOplLR6eUJD78DO/DQTeGKlPpNpq2EKogJxZ5dEpJ0HjubY3yMlY7oEVSXu9SBixKuC9ro0lObzwmqAyNbAf7cDeTZuxPcKVUnyo7nAHT1LsflkOXbma5hwWyw0vlUpXis6gG77DRqV9I8AbqtpPLAvHZj5jeML2uYl6CGHtHC9uhvAHBVJLFa19AoDvjsIHLDI4fPvuUwSHzRvp6TSGp3bJJlyQ09g3gFFpNgKEgskKNiuqFS1uqe/subgY8j1mKth9DwfbMO5+a3w8gCYezQaCeHKn0XL72ViZ5XMN6/V1tiUFGPVDz1erMOjBUDfniVJCn/yDpRxuz00D0+sW2d0uap9XDCyIgKRmBEHSqQxXiw+jE4bjJF8J2f1QdTY9s4TKZyYGm7WDwofooeHm8qScovUedMvO+2cetaJNwmm6XHqG28du8+UY9a3LQxLq3GcCZ2AD6Y7B6ur9Dr082nEfbdD93KKu4bC++5+6iWwiq2ngLuX6POZsexKkuv1icC4GN3L0N+wogI4mQcczKxyvG/jrcrfpJJC4bgmGfhyn35MLVve1R/o3da5vg3Riyz/7rSaH1tWt/GWBj1f+HxICAKCgCAgCAgCgoAgoAMBycnpAEma1DkCQqTUOcQyQVNBQD7axk6S/hDfHAA+2a1tO8Gb5jf2Ai7rovwYGiryioEhc/TfTrdcJ/A/jMIAACAASURBVGVr3pnaUCvXOe+zq1WW02Cc79kWT8b2NyVK9YQjHxXrMfQQKaycGN9ZXWRdl6IkpBiUi+J8THDvSQc2W0g38ee8Cc/kNiWcaHau06YC3fxK8EH2LkQmGygN6RoEPDC0BkSc/84f9SCn2jjj3UGi4bHhwFOr1Rg391a+JCfsFC7wneNlaL3VQ5NilCdNSbnjvVBOiypn5koY9mDyOzpAqUNZGrU7Hk0RM/Q7d0aKyzz+fQOBN7Zoz0aegM8UKz+s8SC2JJ+KS4HtlZU9WqOwHQkDSt+RdOGYHdMy8IeNTkj3cIKuwUiLDMbg1C4mW5J7uhbj9p/Wwp2MtIHISIhE6J0JwPvbgJ12NmBrTDLeZEe1yqSo1Ta1q4HVVDbdmIL13kG4YbVz3hj0PvroCuPTukqPk5ll8H9vIwJSjWn4XbxjADzNrJrFZl7ZYPvZdrRnFro8OcpRK/l5nSCwOVWVczkTDw4BugQ707N++7CUbnUyMG+//V82LPf7XQLQoU39rk9mEwQEAUFAEBAEBIFGiYDk5BrlsTW5RQuR0uSOVDZUVwjIR1s/spTheXaNPjkfmrb/Xz/AnWUHDRDFJUDiXOO35bnUq+KBf09yvOiM88CxXOBCKUAZJ1YF1NslzAUHgGXHHC/SusXMePw3OAbPrdXXtV1rlUTXK9U1vSuwyMKcm7OE+1agg3cpiitawMvL3eTFscCBzQQJufBW1eVt7h8IfLBTJfEXWs3haDePBZ/FnRtsZN61OvdpC9zRv8ZPjBIp9O4YFa1dPWFrzfTtoOQUPVYKioFj+cDSo/Z3SPJPj9wYR+FlYcp6ZRc5Qq3q50PaKyLFUgqOxNaZAlWdQt8UPUGCYmB7VYmih3SzNebDQ8vxzrYWNv08fFsqeTIGc3+8UM9KE6oPUY6Msl2OgoQPFbB4hvcMADyPXAKREheMrT074/X8MOQUAzddOIVrN+9ytISaP3d3Q8a9iQg9kg78pENfznoEJu5tac2RYHmwJnlod5FMqs4/gN3XDMCsHaFOVaSM6wTMacQVKbtWZSDha+MEW2H/SPjellAD3qdXKQ8kZ+L6HsCL453pKX0uGYHsQuC5NUBxmbGh+FH681DN6iRjA9VDa77v1P/TE7wxcddA9YtMQhAQBAQBQUAQEAQEATsISE5OHg9XQECIFFc4BVlDo0BAPtr6j8mo58g/JwDXdNc/fm23/OMS58ywHx6mEqe2gt4M5DBYlWMpaxTlr6pxKAsUE2R8NyRkmJQmYcXkbTt/VZ2hGdRx+vevxibhoI+NwDHv1pj0mZJk0xPMr1KBxtqTwrovizh45tT3Z6L+2qACTCo6i4GpqfDKL8ap2HC8EtkTC47q035jNQc9jH+u5IvenQosPgzszwCSjF3+RpRvGX5M3wj/0zo72ridvysNuPIbJQmvN0hG8Q+lkhwFKx9ISrDY6PvrgcMZwG0/2JcSmxKjJKqYoNcTzsiNWZu50zcl2BdIyQMohceqFHNlka01sOKIlUhmyaxLIVJ+ikrGwsAOeHeXvmeJayKhRWJE73NPcrRHqHonZ/cCSlLy8NT6dfrLfiyAqEiMxP0BvbDoqGKW5/ocxdidB/UcV402p27sj8gurYB3t8Kk0WckhndQZWAaURHuB7enDJiV8GXgDfwLZSht1wo3xo/ExlTjZYizewLPjzOyCddpS4Ju39xD6LnVCVKLJZvPjYWpRMki/r5aEcbOBH///GOsMz2lT60gMH8/sPy4saFoNjWmk7E+DdH6dD7A/wgkM603RkYD17m64ZzezUg7QUAQEAQEAUFAEKgrBCQnV1fIyrhGEBAixQha0rZZIyAfbX3Hz+T11C+M/X9oEgs/XF+PVRpWW1maBNxhQIaJ3XlrffH1QFyINi6LDgF/XmY/GRvgBbwxBWAOQU9kngd+SQa+3Q9sski2M/HMHAtNxodFqbX9FkxmzNluX5/IenK6dF/dw/S3L28A3jJQoMEqCSbqaQx+yMprO7oNQBN4yrlRyeOrbaWI33EUCTuP/vbAnIxpi9fjEzAvqaYngD2MzEl6JsFfnwTM2QH8x8C6Lcee43cM47br0DSz8IuwXhsJjoeWA6tP6DnZqjb0f6F3PXNsWopsvLTLCohDmcDeDNXvu2uBr/cBn++1P9dNvYBPdHocM2dL1ZV9lXMY2YUlAWP+Z0qEsVqG58MKlz1WBvDm8XuEAL3Cga/3V31DnCF0OF7/thX4/NBalLZww0N9h+PHJMfJ+wERCvdTBUZ2rKpmikqUH8yJvApsu7AZ3kcs3On1DEezoeFReOJcO3yc0drU4yOfJIzZ6aAsy8bYJ27oj+jhbYHvD1WxUnrWQVYoNR/I1S4fOhcdiFeGJGJUlM687twdwJaqD9YL10w2RGxxyf6ewBuTgdGNII+sBTH9hVLn7EP87mQ9J1CzDXW4rG7sf74beHyVsd+15oEfTVRFABINhACZ5f9scswqm5dHc/Z7BwFBPg20YAPT8j+oFhr8ZvE/Wv42AgiTqhQDSEtTQUAQEAQEAUGg2SEgOblmd+QuuWEhUlzyWGRRroiAfLT1ncobm4FXDBZAcOQ3pwCXOyG7r29V9luduwBcPQ/YbyDvaU8ahTfp716sL8Hl6wHMnaF8V+3FkSzgr8sdG7qzQub+QYBPS4vRMguBD7czw+sYrvgQ4Pd9AH8vU1tWvfxtpb68CNWASKJwGqp13NpHVcuUlavL1PSSqBzWxDBd+Go/vH6tchEvDG6F+7sOQr6PDzZpmHvbW3xsEDAmCri5L0CvjhfXAe9sc7xdrRavtE7B1Vt3O+5M846b+9RoR3+gPy1T5uxGTdKZkGfOeUQHVclBI3lyYbyUHuij/GKszdO/mQX8d3tVRY7Wwpmnomf1NwcB+gI5MlnnWbLCwlKiyzEgqsXoaDX+tjPK34T2Hsdz1bPEoBwZyRLe0uez4eam9sc/JIh4j7lfhPoZDeHpS0xizqhZPUmbp/IOImbTUayeMRAfFYfhaI72a8BKoEHtVMWOE5ZCJiKFVWEks0hsbg87AP/VBiX1BrU3aeO90G8Q3s0KNGH1euuTuGKrTvbL8oDcgNfGj0B0vD9mdoPyKlh53HGVTGyg0lm0ZkEtxt7WtwuuLOxqqob7w0Dg/sFW5K3lOk7mAq9urPYgHZ7SE7dnReFEnmNiyzzUlfHAqzpkFPU+o/Xd7jzfgbkH0HOXwWfCvNBnxyjtRKu4cb7NwiGbW+S7/b9pQIDkrOv7Mag+38EM4IMdjg3aTL9M+8GkdenqQTb5+bXG9CDNe5rVDRjb2dV3KOsTBAQBQUAQEAQEgQZEQHJyDQi+TP0bAkKkyMMgCOhEQD7ajoFi4nPCJ8BRnapIliNSEuf5BpQaoa/D77+zeQm72ubpHUH5KCbsrYPJ3imfqcSv3ujfFvj8KsDbRhEGL6/SuFxvdcAfBgB/GmrlO8MM/A+HARrdailuMItNB/fJsTVKg2gU/ukelazXSmaTJOnXFjiSDaRUGp1Tyv2u/oCnLUUlMgx0PbeIXwZ0x3/bdDIRCUYkscxDPJII3F15y/rl9cBbW/WeQPV2/2p1ErO2OUhes1yD3iihVsbZZeXYc+QCfj1eBni7Y3mWNzbplDGiPBnl0TbrkPYyr5heIktuVEoqWlY4rPDoGQ6QS6NPSWEpwEqoVl7Ks4dG61o+ICRAbD0qjlAlqcBxadbO8+f4JESMxg09yjEuoAi/5PigtAL4+oB+IyVe3g/yBi4POo9JBWfQ/lg6nuk1CGvPtkR0gCJpGCZPFHeFDWXISKQ4E6zO4OvDYenlEbv9GLDttD7ykhMyWcoX6XA2nho2HB9lqqTpzJBCvLZ5NVBiQCMOQGqXCEzw7ItyuOG5McAsSif+eAg4mAUTm2QdwT4A2Uh+uJLtfMDdgBeHDcM7GVVagg8MBuiBrRk2bqd/Nnsc/rnHCznFjskUflseG648cxpz/PrlSQxdY5wUu9C2NbweTtT0xnDmO0eC+ykxmneNRyk5R30ceXPAWgqLjCzL8fgnQlWouXzQEO6pVc4tkx/OqxpQ49W5VUsvQUAQEAQEAUFAEKhHBCQnV49gy1Q2ERAiRR4OQUAnAvLRdgxUfjEwZI5+tQrLEafGAm9PdTxHXbbYcQZ4+Be7l7FB1atnRsGUjNWK+QeAB382vspPZ6pErFb861fgPwY9ir+6SqPKhVljMh10hGcC51yJKhHhlf9eYap8xE4wR7LqhPLwyCkCCkqURwurUOiLQi6G0l7TugJjO6l/1wxm8LmpU5WsCxu1bIE/Dx6JVC8/kz+FM2FJxpGjeXSFM6MAc8NSMHatnYqU7qHANT2AMAsShWUe+zNQsSkVboerNM0OD4zBC36xWHHGvlQZ89gk6IxKgZnfm3sXAz8cqb5f4kFCw1alFUkYk0xYFpBqJWUVFwxkFDp3sTgxEthQeYbjOynyjUSl0ZjZsQRDy/OQ6tca357yMnFWesZp7akqWojl1ZHFmJ/qjR4hFZgcVozDFzzxXZI2u2euBjJK4vEdeHw4cFs/ix3uPAMsOgwQZEeVYGR9WrUEknJQHNUGS2Ji0TUrG0ElF1DhBgS0rIDPrjOG4Pt0cD88nhth6kOC7vOZQPcwqNvvv6aod4/kDN9Rsl1k2siEOoiU+PaY5J6A86VVLzfzvZ9cAQztoNF54UGl6aYRX8weh4+Pe2F/pvaHgrhO7AzckgAM1hrbwVopfbX7rJJXZJENi22ujW+4Sox1u4uQOHc1Whgs88qe1h1Bl2lrmmWcA55cDSzWab3CarEnRwAxwY5OWn5erwhQSo/lePydbH5pu4VqViHV67qMTpZ+DnhmtdFeqr2FpKhzA0gvQUAQEAQEAUFAEGjqCEhOrqmfcOPYnxApjeOcZJUugIB8tB0fAnN0Q+coOSKjMTMOeG2y0V61357VFyyW+P6ISsRyT+QapncF6PNAY3MaqtuK2xYZ95DlWLf3AZ7QuCXMvMTEz4xjeltf4MmRtY+P5YjMxe5JV8QZc7ExQcp022GQdXm7uoFJWnwEEtEPVDdylkixlFujlM6139r24rC1xpgAoGdgKfrkZWFsTho6pqQrWSJvDxQlRMCnX7i6ud/SIhlP4uR/O226uJ8LboXvenTDl6Uh2JNVvaqCMle9w1U+mxJY2w0SDv8crzid97cBz6+r2hX9UBYerpLTsncmfKbJr1lKWnE9iR2A9dp+49WGY1sSF6yo4qVqVrzkXwSKSwH6H7HCxpqocfiMAJjQvgTni4HE0FK8ctDHpGxD+SyuyRbZQU6QxUJrKitgZnW4gHkpSqaO0TmgAlM6l2N9qjt2pldfhZ8HMKh9BVaecFwlYdmTZNGH0612RImbf25QWXwSbjxcS+KQzUN8gBA/gB+d0wUmJq0kqwgt+c+WYdY24xg6IqVTOG4JSMCRwip9v7v7A48M1+jMSrUP9Mn+5bZtg4c79sOSnJoSUzf1hqnypUb8eBj40Yrhs2iUNiga38TEYVeOh6lQpqjUDUE+FYgLqsCw8DLM6mupUahj8wDe2KQqi/gdsa62oqwVvzF39AVC61naiu9X5hcH0XOHNrGkuTtPd5Q+OhIe4TUxN7fn5+fNzep9txckpe7sBwxo5JU9+p4CadUgCFC/8YkVhivoTGud2gWY2kD6rg0ClkwqCAgCgoAgIAgIAkYRkJycUcSkfV0gIERKXaAqYzZJBOSjre9Yf78QWOmEn+59A4G/JOqbo75aMb/JHLpvS/XHUdBoethcY7Je5jGZ5Prv5TVnoLUBTeuNBpPaK29yWGRidNjaaa8h95PUMwrjSnqZKiT0JO+1FvJ/fYG/WZBHz61VcmRG4oo44LtKn1wWE8T7lyLYowwT4z1wbV/3mlU2SdnA25uB4jKH0xREBuCNvgOw67yXyReE6XpWNn1RaRJPv4l3t+mXNWMF03tTAT9PVSF03bdKuYnPErmq0+ccLum3BmM71vRe0WPyTtkl+vGwUoSko2XwnWHFDP1ZmNhmhYtOLsA0zOz4Unx60AP3xxXig2O+pvFJ2HFO8lgsoiBpS2KzrZ/6u2M51Umbm6OK8L+T1Q2aea5/GaoUrszFIjwLkkDcy6pkx1Yilvv802Dgj1rSVmuTgR3pSj+MZRs0k2dmn5ORYCG7RFD47wltFSuppbPGybqFKLbLAYCnO4bhkdCeWJ1ffc+sMJo3C/D31ngmCOSiQ6rUzEacimuHvwfGaZIo7EIv7O+vq6l0B5b56XkJ+cHqEYLCNt7wJZF0OBu4dyDAW/kG4vk1wIc7bcNoHmpaF+Avg4FO9VyZsX53EeIX7UDwaQ15Net9ugGZ1/dFyPB2DhG4eBH4dJ96D/n8kshk8B2kVxAJJFbjBNYzeeRw4dKg6SHwzT7n/iOQeqS8pCAhCAgCgoAgIAgIAoKADQQkJyePhisgIESKK5yCrKFRICAfbX3H5Ky01XfXAH2VEk2jDSpWJc5VCV6jQcmV/11Rs9cbm4FXfjU6mmq/6FqVn3W50LilfqJ7JEaWJZh8ZyjDY8+mQWs/TBjOvRwYYiEBdDQbeGg5sFWnKhIVuwK9gPVW0mL3D1I53RoeNsUlwCsbDDEWabHhmOjTH3kXVdVDQjhwPEclPh+q9LXheTuyxGAVyUtjq0v0vL5J+XpfEQ8sOGjs1MP9VOWVpbpTbEAFYgPKsSRZWwqLEl5JOcBZKz8gc4UKSQkSHfw5Zd5IdrT2Un+356zj9d3f8yL+s9cTnVuVYZR/Eeaerp4FpqUIK3pY+UL5MK0qlcdiC/CPpJr+ApRSo+0ACSfLIMlCgmr5ccfrY4sbegLPjiSJU6EqTkh0EAAuanWyIgS0IshHmSzR+IgVJ2SAHB1650ATk1RxIhduRaXVRi0I88evUZF4C+2xs8BTc8r5VwP9beXkySKdyMXxdWcRlpIJn6ILKPLxwqGQECzzC8MneQEoKLFfqaM5Pg+FJSI6ZMOqLZo6d/dUGh7pOwr8s9IXScsCSmuI67oDL03QOXgtNSOntn5nIWKX7UXb5Azbo3q6I/2q3ggf4ZhEsR5k6yngZL7y64lsBQyxIRlZS1uSYQSB6ghQooy/jIwES1lpcGZTD9TIYNJWEBAEBAFBQBAQBJoqApKTa6on27j2JURK4zovWW0DIiAfbX3gO2O2PqEz8P60pvH/oa/6Wn/i3hJRS1kqy7//zybgXxv1YW/dasE1SnLpUoK54RXHgeO56hI9L9Uzic8kuq92vtbxdMuPAvOrZ/rPh7XG9A6JSDrnYUpkGzUnvywWeEfDY4d+3zRid0Sm0CKGklBLKlV3WEBwdXdgcozy+iW5UyPog/G+wZIXAP8cnog3MwJ/G85c+fHKeODqHsA3+1WBwLqUmv7DHVoDE2KA/+sHtNPwH35rs9oDvSGMhhn3Dq0rMC7sImbkp+KIT2vMLQzFgczqoxEvFlNYyoGxBYmNIZFKHo+Sb1pBAoR+JHyu7NlFfNArB3fsDTRVivwjNhePJdkwJrKx0YQ2JWjrW4GlZ7QfVFvPmb+n2gOfQSu+4reZfDyA63oAf0q4CP8jGcDmVJNHzm9BzqFToPJIYYVF3oWaq2SbPm0V6WINsL3Di26DzHaB2HjBDxVuLVAR5IU3coJxuMC+D88nM4CRHe0/FfcsVhVhtGyhXYM9mUaq3JHvyK6UQ3z3Mhs+KcuSgAWVZV56H8rregIjo/W2xu404J6fVNGO3mB108vjgJnd9PaovXb7TpXi/L5shB05g44Hq4zGz4f7I713JHz7hKNtJ9tyXrW3EhlJEKhlBEie0qCIZYh6gmZIJE0NVp/pGVraCAKCgCAgCAgCgkDTQkByck3rPBvrboRIaawnJ+uudwTko60f8l+OA3f8oE+iiDfh50xXCbmmEHN2AM+sMb6TN6cAl2vIg3+8C3hilfHxeLHzl9lAZyeVMs4UAHN3Ah/v1k4mdw9RyXxWPxi+REpR/9dqskMfDh2IZ7PDwLGZd9brq8HE9zOjgSttJERP5ABf7AO2nK5JqPQOAwa1A66MB4rKlKeIh7siVVgoYDfm7lCDGoztfWIxsyjut15D2qs8+s+zAfqOm2PlcUWm0O+FRE7HAGBGVyDMjjzPimPALd8bXFBlc/oAxfiW4IY9exC2/4xJjurO4eNwqNDT5E+yK70qsa4l+8WqIBIkfP8dBTmEybHAz0e1ZZhiW5ViYc5WPNqhDxaleWNWRBHKSsqxINPP0dCmn3P8p7rm4+nD/jbb8zlLOw9kF9VswmeaEmJ+LVW1izlBT/KKVUTjooGJQYXAF3uA/VYsk/VwrCShTiCZJ+vgQ8bByVJaRWmAN5Yl9sLK8gDklauqoDYtyjDKLQ/jd+7HfZ0Go8DH2+RBY8szxnLI764F+jqoUPvrMuDr/bYhDvYG7uyvCm2OZAGZRYorokQdL5XPitOQy7pYCny2R/+7Qn2/a3sqTTidQbL0vW06G1s0m9UN+NdE4/1qq8fpfCAvo9hEpnl4tkBYuBfa+GtXgNXWnDKOIFDnCPB7R83KnQ5Mv/iO/77Ppd/4qPMNyQSCgCAgCAgCgoAg4AoISE7OFU5B1iBEijwDgoBOBOSjrROoymY/HwMeWGL7Vjqb0Tj61YmNX9LLEpkTucCET+3ftLdGkobcP1wPtNHwL6AFx+TPHKv+WI/JpPgbU4ydmbl1Sh7wwFLHVRxs/1AicPcAg2RKWTnA0gkaelhEcrdITHRLMFUpkFxIzqtZ8WC9I1bI/HkIcGtfx3stuggsTgJOVXp5k8Sb1lVV2RgO7uGJlfav7NsY9GxcBO6O6AfvlgCHYXUDSQhWQfDctJ4DvetzVlqP47MyrLysAq2Li+FVUW7SMtt+zus3VaaeoUCXSmKORt4kISxjTEdj0vjMoZF4sa4+4gXl94JSMGHvISwZ1Rd3HlZGFs/H5GJFlhd+ya3u/2GNDUmUxzrn4/tMH+zOt21uxPnpHeGoWun2PkrCi8F3tSWHZKKQRFrlM3wu3B/b20Ugu4UnWlRUIKz8Avomn4JXbiVLQzKFxu7WlSldgwESi1bx/ZTB+KQoCJvOaJMJA9uWY1pkCX447aWLy2Phy1dXacjTWc3LQrEHl2o/bSQd+Lz+mKTJ+5g60eLgxp4a7yPZwO8OAhtSbBvQkL1iFcr0OMcLtVribYv0y7FZduXzvPhawNOZb4Del1LaCQLNEYGiEmDjKVWeeMbKsIvv+qD26pcev4ESgoAgIAgIAoKAICAI6EBAcnI6QJImdY6AECl1DrFM0FQQkI+28ZOk7P/yY6oagP9sDkpDMSnHxGt4EzS/fX8b8Pw6/Xi9OklVRNiKR38BPq80JNc76vtTgUmxeltXtaPK0F0/GkuI/3sicJVReZztZ4APrGSx3IBFw/vh/rMRoM+B2ch82xmlfmQZTLYzB0PT6Bt6Gd/nJfegIc7fVthnCm1Mcq5LCEb5DTbd5rcOJnZnxlWSU/ov5P82zC/HgFudrEhJ7ADc2PY83A9mwLOsDGUeLZDdxh+vZQbiTJFaDCtRTD4PKdVXTiKIfug8KyPB4gPL3Drllv7d/iwuT002kVTnytxwU9RgbM/3NJEeQ4IuILO4Bc6WeqAMbqZqKPqtmCWoRgUWY1pQIb7KbIWteY6z4yTsHCnQsNJi8Q1Wu6Iu2bz9OBMVgp/ad8SXJcE4ZCWtNajNRVzlloHJyccQkJ4PxIcAB62qVzSIlK9nDMfTR/1x3oEniY9HBW7r64Y3tzhG/IHBwINDHLfje3btPGBnevW202JVtdYaq3PXGpHEJOdjxVqN2JMO7E5Xh8YBGdR6Y0kiy2WclPe5/ltgg5W3kePdKl+geVcBccY87fUMLW0EAUGACNBLjGQxK/JYOsebAzFBQHvb1YICnCAgCAgCgoAgIAgIAloISE5OngtXQECIFFc4BVlDo0BAPtrOH1PBReBUnqrSYMI1ug3gZV/O3/nJXKAnc+yvbQLe3mp/MSb5oVHA7xMANzs+zsw73rQAyNWwWdCaYVJngOSMn+M8co3uq5KBmxcaA5ESSd9ebdAzhdl4smzWrugeLfD90AT8Oaud6XkxSSxFKPkg3oYnTvy7aH/grgFKUqjB4rk1yv/CYKT2aI/E0j52e93SB/jbCEPqRqbxsguBWxbVTITrWeLIKGBCwRn8bmN1giurQzDWto/EP4raoUdgGTx93LHkWHWWx5oQ0TMf25gJGEqb3RSQh8keOeh36ES1G8xrJvfH/xCOzaluyL9Yc+RB4eUYEXwRURfO40hxS3yY7m/T28SyN+dmBQXfL3sR6gssuhpoZ37WmBh8ZQMO+wfiz37x2H3O/os2IaAIf0/bjYgWpep5sTSGIXNmYcS+Zmwf3JvZDvkX7Bu7m9dL0uKmXsA7dmStKFP32Uxl2aInKCf49Orqkmv0cCIhrjeIGT1/Rney0YMVPfnF6ocswWrlpXdozXY3zK9J7ukZMNAbmDcLiJVL8XrgkjaCgCAgCAgCgoAgIAgIAoJAgyEgObkGg14mtkBAiBR5HAQBnQjIR1snUNLMhAAvXv54xHRpHWtOVgeFKVKao7OKY1xnfYBRHePexY7JlDHRwAvjgAgNI3I9Mz28HPjSQMLUPOaHlwPjde7lt3XQRXzTKQWUpVGFG3C8WwesaNMWn5cEI6lAeQawCoXVGlO6XKLZvR4g9LT56Qjw/WE9Lau1WTiwF+7Pj3LYj7Jp9w502KxGg3+sBd6zKvZxNAq9WVp7AmPccvH4hvU1m7u7IWdEZ/jsScNbgwbiP8eqe5XoqeywtYY/dy/ClXsPIPJcAUzO8ulVmmHbEuPxSEVnHM62Tyzw2ZgYAyw7ps8vhGuhrBgtbhz5i0S0An66AQg0K4rtSUfqTydxR3AC9jogUcx7nhhQiH8d3wr/AM/qUl6sSKHZCEuwKJU3ZSK+OmZbjkwLQ1Zl/XBEG10SBS+OERiBgQAAIABJREFUU340RuKNzcCrGxWZcmdfYOERxzJ71uPf1Bt4boyRWQ20LSwBqEHIEhqPFrj7eCgWH9VHPlnOkhAGLLrewLzSVBAQBAQBQUAQEAQEAUFAEBAEGgQByck1COwyqRUCQqTIIyEI6ERAPto6gZJm1RBgkpYqVlT04UV0qlr0Dgd6hdmvQtGCkWo4tBn4dE9NqSuTN0EvJYe1KRVIzlW+KkyO00x9eLT6Z3tBC4chc2z7H9jre1d/4NHhTh4+/RMOZKgEM8uXaF4R7Av0DMX5yECTlBP3QuNvZwkiJ1dmvxsTuS+us+35oNG7zMcDd/QdheVZGoY4Vu3pQ85Kn98S+Do3sfwo8PgqY4lvs7/JrSF5eGq9lS4d89MJbVXpRnkF1id2xw1Z1UsNSErQN8WZeCT+PO7euAUgm0NH+8rI6BKOW8P6YXemPo0zkimjooEVyfpWQZkyEpSOglL+38yyaLXuJN4+4YuXMkMcda3289fapGBmbmp1IqVlCyCqDXA0B0eHxODKojjkFhsjBPhes2Lk/R3Vl9M/AvjDQGCsraoQB6v/bDfw3WFlIj93p6Gtmhr3CAE+mg6EOUnqas6Yfk49I+tOKKf7yvhqaiIeStJZcmMx8OxewPNjje9NeggCgoAgIAgIAoKAICAICAKCQP0iIDm5+sVbZtNGQIgUeTIEAZ0IyEdbJ1DSrM4ROJkHbE5VvhDkHCg1ThPsj3YB3+zXNqZnUp5kB6tg3G3kpTnuiI+cW36d3j53bkn10+ubfYYMZTYM7obrc/WX7vx9NPC7BGNbYUHHQ8uA7WlVNhT2RqBnUUq+Il4eCM7Cgxs2Vm9Obw9WTbA8gdVWfp64OWEU1mVVMXOXQqQ8OBh4oPdF4MX1QGbhb3N/cNkI/P2oMR19EpTci9kzxda+acmRcb5a8YtNiG5JAJ4eXfXj3HWnMG1/BFKKVKWU3hgdVIw5xfvhvsPKSKZ7KLA/A3MmJ+KZ48bJAM5PeUDyCyRqw/2U/9SUWMDzEiUUSQTf9xOwOEnvLqu3e2+q8WoYmzORaP1op+bhnm/fBtd0HIa9mfpJKH9P4LVJ+qsCnUNAegkCgoAgIAgIAoKAICAICAKCQG0gIDm52kBRxrhUBIRIuVQEpX+zQUA+2s3mqBvdRo9mA/csBg5mOV76X4YC9wzQJlOYSB/8oeMxtFrc1gd4cpRzfRt1r3MXgS/3qrIjB7G/V0fc3iIeqcX6E/BXxAGvT3Y0cs2fP7IcSClQZMEhG88FfWeGRQGHMoHUSquXL/ySkLj9kBrQ2wPrRvTET95hOFPsjnIAXm4V6OZRjKCKEjxxrMqgJjES2KxDJst6pW28gP9OBQZnpQHvWxh9tPLE7EHjsDZVXzWK5bgjooC1dipNSCr6tAT2nnWMK70+3pgEDLVQYluyLAd37neO8FgUdxoJi6xKR2LVgl5vF49/JztXvlGXlRW3f68k05wJ+qRc3cOZnlZ9knOAt7YA50tsDvbdtKF45Hggikodkylswe/gQ8NqYW0yhCAgCAgCgoAgIAgIAoKAICAI1DkCkpOrc4hlAh0ICJGiAyRpIggQAfloy3PgigjQs5nm4vR60Bv/nqgqU6zjQilw3beqksFo/H0M8LveRns1kfZFJSpzv+K4ZglISYgv1sR0xuPFkSZCwkhMjgHem2akh2q7Khm4eaGqTqANB61HsooAnnEAvb091T9vO1NlKj404AI+PrAWnvkXsD0xHu+06ogVKe6aHiLdgisQ3gpYdUIlrUnK9KmUlTOy2uldgTc6Z6oSKwttsN3jemJGarRp3UZjbEdteS9vD2BKDHAsB9ilg0ShVNgfB6s/lvHp0gI8ftA5wmNuxzSMXWrlDE/trORcvDN+GF48WN17Ru/eb04AnrWomtHbT0+7u34EfnKyIoUk2USD/iw11lRRAXywHdjh+MP01RUj8Nyx1si/YJtMYRUfid/HRujZvbQRBAQBQUAQEAQEAUFAEBAEBAFXQEBycq5wCrIGIVLkGRAEdCIgH22dQEmzekVgSRJw54/GpuwVCnxztbqVbx2f7gYeX2lsPMoJLb8JiDSmwmRsksbQmqzWAZZ35AMlZYCnO9AxEMfCgjHmG2MG4ubtXhYLvDPV+ObpwX3/T8DSykqCFm6Av5ciPPIvAEWl1cfkz98LPImJv+7B5pE98FBxNI7n2b/Z3ykA6NAGWHNCjTU6WvFJlQpgDhft41GBpweV4Kpv16Al/VEo3VQZqyb0xc0n2zkcQ6vB1FhlO0LChN46bm4AK0vGRAOTuwBvbwHe3QbkXbA9PHG6uz/w4FCNd2RxHh4/0saptc1pn4pxKywMRyjrxYUWl2LVpH645USEYfKIp0QSxagEnN4N/GMt8N52va2r2g1tB9zaF8goBLw8gO4hQPcw4+OA1Sj/3KDbi2jDmN740SccP6e1xNnzVc8wvWToodMvAritrxPrkC6CgCAgCAgCgoAgIAgIAoKAINBgCEhOrsGgl4ktEBAiRR4HQUAnAvLR1gmUNKtXBOhfsOiw8SlpAj1Gw4T6TAEw6TP7SWbr2e7sJ7e77Z1AfjEw82sgKcf4Od3eF3hipPF+7HG6APjLMmB9iv3+JFH+EXYW12/YhryoQNwYMRh7dHpNkKC4vCuwL0N50Y/uCJDcc1RIQo6JclRzdgKJgRfwJ/+zGPjz7t8W+uuEPrjuZHunNq6HfPp2P7AhBfg1tUrWjJMF+wAjo4CB7YEbe2lPv2RlHu7c7RyRsqjDCSQs3wvQZL5bJYlCeTiGrwduGjoBa04ZkzMb0h74dAbQ0jmuziHG+9IVWUupOD1B6bSI1qriybJSLswPGN4BGBUFXKFREWdz7MVHgB+Mf+ROjuyCHzvHIPeiO1Xq0DMEmHCp1TF6AJA2goAgIAgIAoKAICAICAKCgCBQ6whITq7WIZUBnUBAiBQnQJMuzRMB+Wg3z3N35V3T02ToHCXbZDT+MBD4a6J2r1+OAXf8CE1JJ+se/dsCb12mEqeuEjlFwMJDwJ6zwMUylbOOCwZmxAMsfGiIcOZWP5O/X14F9G3r/IrpkfL5XuDjXUBmUc1xRgUW46aKdEzYus9USvLxZcPwxNEq7xM9M1M+LCFcVbqwOolSYj8eAU7ZSLzHBAAjo4FP9lQ9Y61bVuA9/xMYtmGfacozvTtgukevahUFetbCNjf3Bp4do6/1rjOKTCksMVnCoG94dT8UrVFy04ow9XsvnCo0RniMDr2IOQW74U6AeoUDO88A8w9Wm2LutBF4+oix0i5WzjwyXN9+nW31xErg4yqey+YwAyKA7CLgWK7tmfg+/l9f4GG9a/58D7DOjumNralYjPKPcUAbb2e3Lf0EAUFAEBAEBAFBQBAQBAQBQcBFEJCcnIscRDNfhhApzfwBkO3rR0A+2vqxkpb1gwBN5sd+4txct/YBnrJjDv/LceDBpfYrU8Z0VJJClFFyhSi8qCSbvj+sncht3xpgtcLdA4Bg3/pdMW/1XzMfMBcf6Jl9RlfgP1P0tHTchoQKJbiS85TcFWWOBnoVot8n6+FxvrIiwtsDt44Yj19OGvNx4eyzugPz9letg1UHYa2A7EIgtxhwb6GkxYj7kSxtH55Q73J8XbwbnQ+lmgZ6bMoEfHbM0/HmLFr4ewLvTwOGdjDUzXDjt38owEtHjbGHr/XIx8zxFiRJWbkys5l/4LcSnosB3nh06EjMO6avvISeL/8YCwTV8fOckgM8sxZYdtw2VL3D1XnbItCsez4woAwPDtPxrH2223FZla1lEZwAH8PnKx0EAUFAEBAEBAFBQBAQBAQBQcC1EJCcnGudR3NdjRApzfXkZd+GEZCPtmHIpEMdI5CSBwz/yLlJ7uwPPObgRjhlvlYmA9/sr0p8U5KJRvU0QR8SqW7xu0KcuwA8sarGBX/NpdEr46VxQLixPPglb3PuTuDva/R5iLBq4/UpQC9nPCX0rpSJ/Dc3A4eUN0nK8BiMz4mnXYfhGNcR+CVZu1uQN9A/wn4S3tzzsbAs3Ll2o+lf107oi1tOtTMRP3qjNskne3OmHj2HO1Z7YW+BPsJjYkgx/jUR8A/VqI44mQfsSVdMV8FF5LcPwEt9B+HzpJY2q80ox8a93j8I6BykF51La0crl/e2KSlBVvBYBg3cB7UDNpzSPwd9aD7plYXBVHCLDbbdceFBYOlR/QObW7bxAp4erQxaJAQBQUAQEAQEAUFAEBAEBAFBoFEjIDm5Rn18TWbxQqQ0maOUjdQ1AvLRrmuEbY9PqZjMQqC8XKm0uJKMVMOhYvKnxjXzgF3pxlfx8njg2h76+tHrIKdYyWT5taz/ag49q3x+LfC+AUPsq7sBr0zUM3LttiGZQt/s81aJaMtZeocBT40EBjhnEWJswSxremszUFyG/eN7YkpKtLH+la1pNL+q0nReawD6eGxUhSZ2o6NfGX4o2IbWRzIAjxZ47fIxeHW/PmmmLkHAEyOAUR0dzVI7Pz+0Jx9/2eKD3Q7IlPEhxXgusRQRnRzoyrEyiPpo1Orz8cAXqb7YlKqKMc4WqjWH+CqfEZIWN/aunX0YHeXno8CK4wD5H8rFUc5tYDsl/XWhzNhot8YU46llK4Hf9wH6Rmh3PpwFvKbINUMxtQswtat2F+r/bT1dWXJXAbT2Upuo69IeQxuQxoKAICAICAKCgCAgCAgCgoAgYEZAcnLyLLgCAkKkuMIpyBoaBQLy0a7fY6qoAHafBejX8cluILtYzU99/au7q4qIwS5UEVG/6FTNRmz+ttLY7AHewLIblfTSpQaLGo5kAwUXAA93IKJV/fuQHMoEZs1TOWi9wefofzOAYVF6e9Reu11pwA9HAMqnHa00oHd3A0ZFK6Pz6XH1TFYRwDk7cLx/J4xPj9XljWONBmXeWL1kK4ZGAr/qrFaYF56MgRnppkx9eQs3vD5uBN465G23MqVnKEDfnyldau+c9Ix05kg+fjrujs9TvXEkv7pM1cCgElwVVogpCS0R0NZ57a2kTCWXxcIcytPFhehZWWUbasmxtMxkFlT5gpI0qOV4aBnwlYW0m97ho/wrsChvKwKPZQL3DATiNTZnVTmla2z6o9CExVp3MDkX2JiiqrDSz1cfKtRXgTukHdDZToWMrgVII0FAEBAEBAFBQBAQBAQBQUAQqE0EJCdXm2jKWM4iIESKs8hJv2aHgHy06+/ImfObswN4cf1v1gGak8+MAx4fAYT61d/aXG2m1Hxgyuf2vUys1/zAYODBIZe2E17opr3Dd4eqVyLQe+OmXsD4zkC/CMCNCc06jlc2AG9sMT7J73oDf9dpSm58dMc98oqUZwlv8ZPcogd5g8X3h3AxswjX+CRgR7rxQ5sRByw8ZHv1iZH6ZZ8+8UnCyJ2HgA7+qvwsvxhru8fgp4sBWHba4zcDespbkaChQfyVcUCMEYLhUoHenQ7sTlNs77mLOBfuj+3RkcgKag1335YI8wf69vCFF0u4GiJInrBUbe0JVU5mDr6gI6OBhHAgsvbMjW5fpE+6TQuKHzqcQK/le5WO3Z0DAB6sdRzIAN7ZCt0s36QYYEZ89VFoVMSH1JGJC9ng6V2BBBsVMg1xnjKnICAICAKCgCAgCAgCgoAg0MwRkJxcM38AXGT7QqS4yEHIMlwfAflo188ZsRKF+bKXNuibj5Up/5ygjKyba7Cy4c4flIm4o2DFw6uTlESQs5GUDTy8HNh6xv4Ijw4Dbu0L0FelLuPWRaq6w2h0CwGW3Gi0VxNsTyf659aYHiCTlNZhYw+Hb0tgaizwzQHb2AyPAtad1Ifd116HMHh3kmoc7KPYOGr7ATh+RyL2+gSaZO34DI/ppG/MWmtF+a3vDgIbUmyzvOQByPDM7Ab4edba1LoHot/K3B0muTabwZKsmxOAfu10D2uv4W2LgOVOvIMcc37USfRftkcN/5dEoHOg9lQ7zgAf7XT8oRvdUZV1WRo4ncgBPtvjmEQxz0wy5foeQGx9snO1chQyiCAgCAgCgoAgIAgIAoKAINAkEZCcXJM81ka3KSFSGt2RyYIbCgH5aNcP8htPAdd+a2yuZ0Ypif3mHCuPA39eBmQV2UaBVQM0mG+rIenFxHRKPlBcAni3VMUAWkbyp/KBu34E9pzVh/bjw4H/61e3lSlXfAXsSNO3HstWVPJZ9TugVRMh4cg1bE5V1Um81N+ulbJ94HnajW2ngQ93mJqcGNAJs8q64Wyh/qqUy2KBn4/ZLhagWlNWIZBR6fNhby0BnhVYdm4Lwo5nVDWj+Qn144J8gEeHNww5wdVcLAW+2ANsOq3vYSP4N/YCPOvR7PxgBvC2zsoNPiR39Ad6h+vbj51W9y5WcnVGg4bzy4IPI3ptZefLu9rXZ6Pj/ZZK45hSK+a4eygwqD3Qt62SMbOML/cCa+yY+GgtnGY0N1yCEU1agZIPozQZCbWYIJPvj4QgIAgIAoKAICAICAKCgCAgCBhHQHJyxjGTHrWPgBAptY+pjNhEEZCPdv0c7DOrgDm7jM3FyoJvr264/Kqx1dZdaxYWmOW2Np9WtghtvIBregATOgP9I2rm8XamKc/lvWdVzm9nOlBYopR/rukOjO0EtGtdtWYapb9pQEaL6fiF1wIJbetu39fO02dkbr2CyNbA6t83ztzm2mRgcZLiF8yG3/TPiA4AmEtfV+lHYj7HaV2VfJhmbDgJfFpZEQBgwfREPHo0AEWljsmUbsFKfWuFDX8Uer+wQEBvxdD9oTn48zqrcjRqnh3JAm7rW2sVFE49jSuOAfPslN1oDXplPDA+RnO6zaeUMlhRKUAFMMqfxYc6tTLV6UIp8K9fAbKdeoMVP4+OAFhWdAnx1hbgZZ1VhJbTTIkuw7srfq5i4fjBmdXd8UrOngOO56o9k5wI8wM6BQLuGkRFXjHw+iYg7ZzjcS1bhPgAfxwMBBvUjmTljEn6LV0drjliAgET2dPO+JjGVi6tBQFBQBAQBAQBQUAQEAQEgSaHgOTkmtyRNsoNCZHSKI9NFt0QCMhHu+5RZ0XEuI+VZ4TRmHM5MK6z0V5Nsz0vatN4vaQM8PUEaItgGcw9UpmI/ia8RW6+2M0L6v3aqgqGo9nAmXNAWz/gtUnA0A4qDznhEyD/ojHc/jgI+NNQY32MtP7jErUXo0GZs09mGu3VsO1P5QKvbQYWHbb9nnQPUQSYJeE1oRPw3FjtaiTTDf+5O6ttjGTKy6kBOH3ONpkytL2q5ll2TBsT5rdJ4PHn1sUDWj2oNrWg5QH02m01IImUIZHqT0NEdqFKip/MA7Ir/UaO5ziWmOJaufb7BwEtqhL83+wHlh9T5BPJTnPwPSVerPCZoM292N891/juVuMIUX9vwKVJfJHEnb0AOJhlbPqXYrJx3eJfqzqN6wRcpYNIMTLNymP2defsjTWjKzCpi77ZWLHED+ovx+ybe7FU7NqeQJeGNEXStyVpJQgIAoKAICAICAKCgCAgCLgKApKTc5WTaN7rECKleZ+/7N4AAvLRNgCWk01/PQVcZ1DWyzzV06OAW5q5vJce2Hk5mzfHLQoQNLtR7aeoRFU8MME7dzpAVZ2HftEzS/U2rIRYegOQWqAIHg93gNUTtqwQjM6w4CDwwFKjvYC/UXasv/F+DdWDRBa9aVbpUCiiZ9BNvYC3LPLq9BP61wQNKbNTecAL62okf1MSorCofSesKvTFgawWJl+SNt5AYlgZRnnlo6y4FO/nhSAptzrZQkJuenAhrio/i7UegXj/rGNTc47watgZzFy3vfo6ovyBq3soWaT6jsNZAGXPDmUCZy10ybhYPrw0/yH7e84Os8i2NFDvHW4ik1jR9d42+3l2Suo9nKj8hQwFZcfW6jSisRyYJIrhyWqu7N8bgf9ssr83y15D25Xjg8Mb0Co1r+qvZ3UDxtYyI/7dAaU950yM6aiePz0x/4BiyPQEK2j4C4slZI01Ci8qzxkSSKwE4p6CjfkrNdaty7oFAUFAEBAEBAFBQBAQBOofAcnJ1T/mMmNNBIRIkadCENCJgHy0dQJ1Cc1oRn3jAucGeHwEcEc/5/o2l15MhD+zGvh8r74d9wxTxAcv4lMiakos8OJ6fX3NreiPQS+S3CJgj4XtBasPru4OMLlPI3ItRR76etPYnlJjJHMoe6RlMcB90VeHMmV6gx4w868GwjT8YvSOUd/tnlgJfLxb/6z0yx7XEfjU4rzfuQy4TOuC/Uc7AOrBaUR5Gy9kdA1Hsa832uScQ8De0wDtKUZGI+vynqbqGFYikKTjOc5skYnxS7aayi2KAnzwQe8+eD0jiF72mhHoWY7nIrMxbdmWmqUr9BgZFqV/07XVkrpbPxxWumn2gv4tNCbKttNueldgche8tgl4daO+BfL9eHY0cEMvfe1NrV79VTGfRoMJ8KdG1YqR0XNrgA93AuUV9heREFqOl4oOods2C+KBLzc/5OG1/FLWB5Gyp7IayMG+q6EyuD1wcyNk/8+eB3alAfyFbWl8RGKRvjJ92gKxUm1j9DWU9oKAICAICAKCgCAgCAgC9hGQnJw8Ia6AgBAprnAKsoZGgYB8tOv+mHalA9O/dG6el8YB1/V0rm9z6fX9IeAPS4ztliQH82WM+wYCbxjwR2Ge8HSBurRvL/4wEOAfn0qbBhYALDoErDgB7LcgX+jdPToamBEHdLAqclh2FPjLciC3UnnJ3ny88f/CWODKbsawaMjWrAa6Yb6SWzMSN/QAPt9X1WNqF+CtKRo5873pyqRcb7DS4v7BQFwI1qcAtyyskhpLaHUR72TtQvvks2o0dzccjeuAXwLCsaAsGKeK3PlX6OF7ETPKMzC6VSHCVhyuWcpABu7BIUCAj95V1U47Jom/3gfk6HiYOCPlu+hLQsZPK6bEYv/gOFz9rf3iFeuu5Gi+nQW00bv9VzaosjGjQZ+UZ8YALCWqhaAdycrjFdiRXnO8EN8KTG5Xgv87cRAd96ZUn21kdN18xC9F2uuKOGBirGNUPt0FbKg0JnLcWrXgh+jPQ4H2/np7NHy7w5nAR7vsf2h57DTmGhFda89Uw29cViAICAKCgCAgCAgCgoAg0NAISE6uoU9A5icCQqTIcyAI6ERAPto6gbqEZqwsuOFbYJuBygJOx4uwS2+sPamoS9iCy3ZNzgEe/sW4KXtsIHC+RCXwp3VRBueObpsThD7hSg2JRIqeoI/KA0OABQeA59epS/62IqoN8OSImj4SPx4G/r7WPtlAmbHHh6s8X2OKf64H3jTAc5j31jsMoDvHzkpOgznOpbOBOOsL4xUVANkovWYz13QHRncyeXzcOL9mMcsQ/wt4seAAOh1MrQZzRRsvnGvjC/eycvievwB0DAD2nq1ZicISJEpi1Zb+m5HD/mA7sP2MkR7AoPZATuVDyzKu9PNV/a+MxwveMXh3m7Eh2frvo4HfJejs99FOYHN1vHX1pAH6Hwbpaqq30bli4KdtRdie2QJFFS3gjgpEuV/EFRknEL01ueYwIb7A3QOAiNZ6p9Df7twFmMqB9H6MzCOH+SqyMMiBXBUNYl5erz6URmNSDDAj3mivhmlPku7tLbYJQ+tVNVQ1WcOgI7MKAoKAICAICAKCgCAgCNQxApKTq2OAZXhdCAiRogsmaSQImFhHEwwVTDhK1BkCn+8BHl1hbPjZvYDnxxrr05xaU5qL/gXfHdTvX2CJz7AOMFUdMCnP2F2ZlLeFIS+2D41UfYwEq0RIhNi62G85FvOu/xpvyuVXC9pasJqFPiJ7LNbJ2/1jOwJUWeoZbmRVrtH2nh+BH5OcW8sDg5RBvTm+usqGb3tZuSo/oumMpQu65bQ+HqqUZ2gH021ze3J8Yd7lmN0qB+ML0tDjUIoqWXEDSsJbwT3EFy140DRtt/6k9ggFLo8DyJjVdxzJAt7ZCpMhjKOgFBWJHj7w6efULX3upY2XIgT4u4LJ+weH4PKVrR2+N1rTTY0F3p7qaCGVP990CvjfLp2NLZpd31NVD9R28HlamazYUXu/Nmm+TrYoqg79QlhhtEqDwLG3Z5bj6dFWY9ncmxYvmBEcG4u8F9nz97c6/vhb7p36dH8bCYT6GUFE2goCgoAgIAgIAoKAICAICAKaCEhOTh4MV0BAiBRXOAVZQ6NAQD7a9XNMzEf+fiGwP1PffL4ewOdXAn0j9LVvjq0eWgacyDNejWLGakh71bdTABDoA/i1VAUEW09D0/diQASwLwMo0pGLNs9BsiYlDzjpQAbM8vxYBPDFldq+KfRB5hoKLqr1sgKjvhWiavNZ+7/vnffLvm8A8IZFNcvXswDmb21GZiFAqa8tpwH6ITBIDNCUnMY5QVVaU/Sod1RpQZ4hMagEbT1KcKGiBfacb4kR4aV4JiwT7iQuWMHBsjKyYxzfTE7UJoB6x/p6r2LhHEUrT/VC8CGzVaLFjQ9qh9zpPTDm65Z2bVRsTcf3gt83m8HzOVppJMR1HM0BzhRU966wtxdvd+Bvo6qdqaOtG/55UhawOx1Yc7I6QUf8hkQCvcLq/uXkx+XT3Y51Bs2bo8EQKyo6B1Vtl0ZP9MIpqwACvYCQSi+XPWnAO06UG3Fk6hXe0tcwpPXegYTnPzcYn5ZGWGOs2G7jo0gPQUAQEAQEAUFAEBAEBAFBQC43yzPgEggIkeISxyCLaAwICJFSf6d0IAO4b4lj32Rejn9zCjC+c/2trbHNdDATuOxzla8jGeJMsLrk11NAv7Yq5512HrhQCozuqHLt1r4k5goWI3NRKerr/UZ6qLY8/8u7Gu/X2HrUVkUKvUmW32RAMYsHzfDy0ITswaXA/IPG0eS7u+k2oI238b512mPudmCLA1kveluQ7LE08LGzqMKJXZCY3lW35YrlUMMigc+v0hg8ORdgBQrLvshqWgY9T2ggT0LM0gxca43UuOOLXB+RXag0+1ip4t0SaN8aaOleHzOrOfafBRYeckymtGutStd6t1X9dqaGOJkUAAAgAElEQVQBNJM/lKWIFAbZ2W6hQLdggBU1L//qXLnfiCjg+l71h4GzM/1wSOk6Go0O/sBfh2mz3UbHkvaCgCAgCAgCgoAgIAgIAs0aAcnJNevjd5nNC5HiMkchC3F1BOSjXb8nRDn2z/YAn+6pqbJDkTX6ddyU4OBmff0u2SVne2sL8PIGIDHSuBeyeUO391X5Q3pvk0hhHpnqRfQCzysGci8A2cXq0jnDXMGiF5AIPyAmCFhnUAqM418ZD7w6Se9Mjbedsx4pvOzf0g3YXnk2JKz+OaH2cHhgCbDgkPHx+AyRSKFnjUvFnO3AVgdECj1FdJIopr35tcSVfcdhW4Zx0uCyWOAda2mvfWeBD7cDxWX2oWMSmyQLDY60gh/RSbGAO110mkmk5KoP4ZHsmp4pbf2ArsHA4EigUyBQdBH44Qiw5oSqQrEVfdsC9PRhxY2R4C+y2/s1jnJKVvNscOIDzaqsF8YBrb2MICNtBQFBQBAQBAQBQUAQEAQEgRoISE5OHgpXQECIFFc4BVlDo0BAPtoNc0z091idrHKBzGVRVYgVD7RRqLStaZiFNZJZ/7hE+Yeb7SaIp94gUdI/QuUdSaBoRUK4IlZY+dK/HVBervzD+e+pBY4vf1NBh/lc5itt5XvtrZc39umRk3NBXXrmJXcqUHFNTSmOZgE3fAek2ciJ29rrDT2Az/dV/XTudGBsLSrtPL8WeH+7caTJRXx/nQteVP9iD7DWTkKcvg98mSihZSD+N34InkwJNtBDNX16FHBLH4tuZJjf3OSYRDF3iW4D5F2oXjZGdo2SWgltlb9Lc4yCIkWYmcrp3AB/L/XhsCyR+nKvIlH0RPcQNdZpAy8ojZv+OBho0QiIrE92qbJEo8HH64XxCl8JQUAQEAQEAUFAEBAEBAFB4BIQkJzcJYAnXWsNASFSag1KGaipI9BUP9pMkDNXxD/JeaaUkikRPjoaGB6tLto2xziZqxR+6LFhzp1SHquxJehv/x5YdkydIL2TaQ6uJ6gOFB+izzCe1hb0IKHKEDGiRcOpAoAX4vksdWqjfMbN9gJ8yFjRQluMU/mAT0tg+5kq1Rw96zO3odwYVY5YEWMOerTM6q4ImqZ0EfrxFapCS2+E+wGTOgMfV/Yh4fTEyNp9hsk5zF6gd0VV7bgOVjq5XNAbhsyQtVyWeaGsWEjKtu2LYmNDp+IiMN6jnyHfIFqIfHs1EOxrMej/dgKbDGr0zYhTjBVltCIrX8rmSqDofeDI3tOg3k4hSo2hhnfQX1bH87iuB5AYpXdFDdtu/gFgeeUvEiMr4S+SJ0apj72EICAICAKCgCAgCAgCgoAgcAkINNWc3CVAIl0bAAEhUhoAdJmycSLQFD/ai48AL21QiWit6BwAPDJMqb+Yg5YJ29NUspw5pgCNi7yN84TVqilPteCAusVfbGWWTgUXSiNRPr9VI7lg++dlwLxK7xESI+cvOq4SIQ6sWlhxXP9JRrYGfD2Bw1nA2I7KrzvKX118X38SSCmoORYvKY+KBvw81OXwJGOX/E0DkvCz5Q1O7xTe6CfR0xQirQB4+Bd9Xuj+nsDNCcAbW9TOr+8BPDq89j1J+D24Yb5jNSxL/L3cgaWzlVe7S8Y7W4A9Z7WXxioCykIZDTdg7szReHqfn66e9LJ5chTw+wSL5qfygBfXGyZxkNgBmN1be16WqFEqjH4qLPnzbQlwj/xYkOFsrvH+VmBnpR6eXgxIUoX4OO5HEoXk1rhGZO5F47I3NutFoqodP8JTuhjvJz0EAUFAEBAEBAFBQBAQBAQBKwSaYk5ODrnxISBESuM7M1lxAyHQ1D7a3x4A/rLMcU6OF5dfnagS6yRevjkAbD1d/RCYMKdf7tRYINpVk6M6npuVx5XJPatQ7MXMOJXkpMyYqwcrGFjJYI5B7ZTKCu0V6PnMYBUS1WVYHUJSjVUk/FlKvrHd0TeZFQo0EieZwuF/0uFP3DsMiAsBvnHCbH5mPLDAjtn5ld2AF8bWbhWGMVRqt/WpXODVzcD3h1WVj1bEB6sc7dtbAHpsTO2qzqOu8uKsZrvte+CiA8sO81qfHAnc5orVKOYFbj6lHsbzJTXhZUUK2UIn4uLlXfG8Txd8tMt+Z17e/9MQ4O4BVu1WHAPmHTA+Mz/iz4yuXtpyugBYcgTYdka76oJm9ZNjgUHtm5/8F0mDd7cCJZUfSCOI84OUUQjsSqv5i4QfWpbuDWwPDO1gZNSGb1tSBry+EThm49aF1gq530eGAx3aNPz6ZQWCgCAgCAgCgoAgIAgIAo0egaaWk2v0B9JMNyBESjM9eNm2cQSa0kd7cypw/Xzb6jXW6FDa6saewEe77ePGi8wkXXqFG8e3oXtsOQ38bgFQaFWFYmtdVGX5+xjXVyw5nQ9M+BQ4V6IumrdrrXKn5zTIIkpxdQsBqMbyhYWvht6zofUCL7jTkoEyUkZkqNj+i732PZ2t10FCiBUpiw7bX+FHM4AxHfXuonG0W5UMLEkCDmcDWUWAt7uqAKLtRc9QoLQCaNuq/ryEliYBf1wKh9JVfxkK3NVfqUy5dFDa6ccjNV+USyBSMDMe5eNi8NkeYPlx5U1ebiEdxUqdcZ2AyTHAjHgNdBYdUofuTDChbWmU9N9t6sFxFCQGxnduXoZUy5KABYccIaP9c+on3tALOHtOfWiJMQ+Zh9stFOjdCH85mndK2bt3tzm+fWFuTyJuepxzOEovQUAQEAQEAUFAEBAEBAFBwAqBppSTk8NtvAgIkdJ4z05WXs8INKWP9pOrgP85uBVtDS8N3uk1a5n40zqCmEDgg8uBzoH1fECXMF1FBXDfT8D3R4wN8sWVMKnmuHpQkYU5YSr36LlMzyqGxU7ma4e0BwK9lb8M1YL0Br1nmED+zkD+kjJrX+uoYrm2B/DyeL0rkXbOIrAzTT1nJNAKLYo5WBAxoytAlZ8xnRpRgcPWVKX1ty+jiiEiGcEH23KDegDjA/7gkGq380mGcfiiUqWolRgJ9G9nZ7DvD+kr8dIa4rHhQGQbgKZYrCw4Y8AUneVDdhemB4BG1GbxYeAHg78MzNvjIc621GNrRPvWs1S+E/yPB/4ysRejOyoSpbGZiunBQNoIAoKAICAICAKCgCAgCDQIAk0pJ9cgAMqktYKAECm1AqMM0hwQaCofbUo3TfzUtiyQrbNkPqRnWE1ZL632fxyspGkaS+xJBy7/0pivMPdG/wIq5rh65BYC9y7R74M8NFKRZs4E+0a0AubbkduyNS6rno7kAKyYchQTOgMnc4FDOuwqaEmw8iYgqhHLzjnCw5V+Tok4EgTkGihTFRsEdA91pRUaXMux7CrGw80NoDGMUcP3ge2AWy5Rz2zdCeDzvQYXD6W1Ry3CNt7AxlPAxwZZdFbh/GGQMqxvDrHquD6GVgsLlshd07Npo3QkS32k+SxZEyrUFRwcCfSLaARlZ037mGR3goAgIAgIAoKAICAINDUEmkpOrqmdS3PbjxApze3EZb9OI9BUPtr0Obl7sXMw6E2wB3gDP98IhLdybp767kU5/BfWG5+Vai3rbgFoJ+DKQVLkum/1r5BVJRt1kBlaI7Ivb9evSNY/n7lluJ8yRacx/eoT2hUtHVorg3ru6agBuf5F1yrZKwlB4JIRoDn7nB2OdczME/FD8fs+l/4AZhcCz61RBkdGYmIMcEW8Mj56azNw0AmPF7LjNDJqDpF5DnhtM5CtQ/rMEg8STbf3BXo3kw9N2jngeA5QXKpIE37AWYrq3kwIt+bwLsgeBQFBQBAQBAQBQUAQcCEEmkpOzoUglaU4gYAQKU6AJl2aJwJN5aNNk/k//ezcGRpJsL8+SeXuGkO8sE5JvzsTy2YDvLDtyvHsGuDDHfpXSJn/dSf1tze3JA65xcpPmabzRoP55uldgQOZQPcQddmZfiuUk2NujpJhuUXA6fPA3rPGRv/husbp3WNsl9K63hBYfxKYt99xaR8NpmZ1B0ZE187SFhwAlh0zNtZfElWCm4nvZ1fr6+vXUsmQkXxhFQ4lzUZEAaEuzhrr253jVp/tBtanOG5n2YLmRPcMMtZHWgsCgoAgIAgIAoKAICAICAKCgC4EmkpOTtdmpZHLIiBEissejSzM1RBoKh/tHw4D9/7kHLpGiJQnRgC393NunvrudSlEyi83Kemi+oiSMiWtRpIiuxhwg7oETDn6hHBtP+iCi8CwOYqQ0BvxIUBWIZBhwOOEY5sJGKrbrDqhd7aqdm28lE/ET0dVzlaLjHGG5KEs3arfARGtja9JeggCNhGgvNHaE8DRHO0mnQKAkdFK6qi2IuM88N5W4LROjxMa00yKVcY0J/OAF9fZX0krT0WaFFwAUvKrtyUpxBdwQDugUyMywXIG+33pwCd7lKeMnmA1ytXdgBEd9bSWNoKAICAICAKCgCAgCAgCgoAgYBCBppKTM7htae5iCAiR4mIHIstxXQSaykc7KRuY/BlQUm4Ma1YL9Gmr3xrgyZEAPYobQ8zdCTyt86K25X5YIbHyd0CgT93vcs0J4J2twAYN7xISKpNjgbv6qzOyjPRzwOAPjfu/jOkIrDQgzxXsA7T3V1YSNBZfeNg4JgMiVK6XJNHMOCC9ECB5xGAemDneinLg5+PGxr61D/DUKGN96rx1aTlwNFvJB7H0xtcDiAlSPhYSjQcBnuPONGD/WaCwVLGbZO5oCtM34jdfkYoKIKcYuFimfkz5Q6cjNR/4ZBdw0orosB5wahdgQowyqmGw3/NrbU/LDxorTg47kP4ioUK/F+uPjdMbctGOa5OBRYeB8yX2F+juBkzpAlzWxUU3IssSBAQBQUAQEAQEAUFAEBAEGj8CTSUn1/hPonnvQIiU5n3+snsDCDSlj/ajvxj3LKY/ypbTAPOGeuKNycD0OD0tG77NsRxg0mcqyWkk/jgI+NNQIz2ca7skCbhvieP1BXgB700DhlhcgGeefsiHjhWIrFfWwR+I9NdnOk8v68QOwC/HgXatgSvilFQaJbmMxKxuAM+CieZtZ7TXTLLF3xtYnVzT59jWXF9eCQztYGQlddiWfgLbTitGkqymZZBMGdkR6B+hWCmJRo9AXrGqrPr+sCImL1QSKdMq8+6swPJp6cQ2OfCes8DGFOCYhVkQKyP4MvYJB7qGKAbSHMUlwEvrgfTzNSck2cLSuv0Z+hbDee4eAHQL1de+sbYivnxXSS5pfc+i/IGB7YBxMY11h7JuQUAQEAQEAUFAEBAEBAFBoFEg0JRyco0CcFmkJgJCpMiDIQjoRKApfbQp/T57gf5EN3NxwzsAa3T6XoT6AktuBEJ8dYLrAs3+thL4ZLf+hTA9ufA6JalVl0FC4fpv9RMhbf2AL65SlggMWhzcvNA5z5LHhwO70oGfkmyTFiRcugQpc3l6o7T2BJJygN5h+p8XrrNtK+CyGGDJMeB0gX1EmcOd2BlYetQxmXJHP+DhYb8VBtTlUTke+9xF5atBSSh7QRBZzsVEuESjRWDHGeCvy4EjVnyZ5YYGtweeHwN0cdZniSVbrDQpKlWkSZCPfR+T5ceA+QdqYsqX1xZZYOsEqAF478DmYS6++RSwPxMoKlGEiol4CgR4gD6ejfYZlYULAoKAICAICAKCgCAgCAgCjQWBppSTayyYyzprIiBEijwVgoBOBJraR/vjXcATq/RtfnKMqjbQKwf24GDggSH6xnaVVswh3rqopi2ArfX9dajKIdKHuS7jyVXA/3YZm+HRYcBdA6r6fL1PJXSNBNV7SIbxkjp9dXibfvdZ5Z3i5QG0b63+N7sQaO0FtHQHjucAqZUkCKW5Np+u+nd7c1M27pY+wOIkJe2lJ8x2Dfbkx8hF/Gkw0MpLz4h13IYJ76/2ARt0GljT7Pu+wcqvQqLRIUC1r1sWKeU2R8F8/PvTlLJbncfZcwBNoVgaYxndQoADmcanf3DIJbBAxqeTHoKAICAICAKCgCAgCAgCgoAg0DwRaGo5ueZ5io1/10KkNP4zlB3UEwJN7aNNzf75B4Hn1ihPCq2gZD69ktMKgE2n9QHNfByTgo0x/0t/jweXqooKe/HAYKVqQwmquozjucCkT/VXo5jXQrWZH65XUmDLjytlGsoLZRowj7+pF/Dc2Jq7yzwP+HkAFyvUuijrxQILSnmROLGMq7opzxR7N/J5gZ6eKpT0Wq2z4sk8x7iO6tndkVY1Ky/lz4hTdgU0vTfbQ9TlOf0/e3cCdVdVHgz4JSEBAmEUCPMclEmJgCIyhCCjIjgiIEpFW1Gq/m1sq7WCv62C4lAr1Cr+gCIVREUmlUGQUQUUwzwGEMIUGQIhhAz/2vcaScg33HPPufc7w3PWal2QvffZ+3nPt4H3/c7ZHY192+MR3/htR03/2igd7H3ottn6aD3iAumlhXf9qF147PQ6cGLEf+7b+8Jsaz6pyvOdG196JXGdldrngHR6sPrii9pns4i3vrLTZWpHgAABAgQIECBAgACBrgTqlpPrCkGnERdQSBnxEDRrAjNnzoyf/exncemll8aNN94Y999/f8ybNy/WXHPN2GGHHeJ973tfHHzwwcOizJo1K0488cQ455xz4r777ovRo0fHxIkT45BDDoljjjkmxo4t/lMbdd200y8oX35/+zNJd6RfSF6m/UmuFcdGPPV8xM2PR2y6asTKy0X84dGhQ5O+DvP1fSNSMaWqV/pKzi/vjUhvcaQvuSy6UkL+XVtFpLdzdtlwyaMHerXW9AWeT/yyu9G/dUDE/9wQccNfigzpU1gpzp2cA7PVK9pJ3fSmSXrhZpXlIpYf5hyHNG4qqFzzp4in5kSk85fXH98+bzut4/6nIq57+KXcbbrHlq9oHyZ/3UMR6XNwWX8hPhVNfvSO9ppSDnjZ0RHrrlTSYxt+MC3iqoyVooT4qV0j1hk/8EMwd177k07pSgdtlKZq1N0zW5de6e299HZbliv9nP3skIjtevypwL/O6Y+PRJwxLWLW3Pa3+Yaqdg61kF02iDhsuyxL1ZYAAQIECBAgQIAAAQKZBeqak8sMocOICiikjCh/824+ZsyYVuFk0bX88su3iiDPPffS4bf77bdf/OhHP4px4wY+YCMVX/bYY4+YPn16a5jUbv78+fHCCy+0/nr77bdvFWpWW+0vh0QUxNyETTsdDn7ObRGf+dVL+dlFfOkQ8XTuxqLiyuKs6ZyMjVaN+MhrI96wYUHgIzzM7LntIlLKM6bPVqWiwKJzR/o1tSyfX1t8TqlIkd44um3mS383FR2mbBJx/cMRTw7yBlJqvVM6N3mTiFNvipjxbLuQssmqEYdsHbHnpu2ca9brK9e2c7Z7b9YeL/2/Gx6KuP0vZ0ekA7dTAaab69jd258FK/WVvn927BUR8xZkn+Y7t4qYvMmS/VK1b9qjEemwo0XfjlprxfYh49uu3T5wxjViAp+8OOKHt2a/fXrTLX0pq+dX2hzSZv/c3IhbHm9/T+/X9w98mPpwk/HW1HBC/pwAAQIECBAgQIAAgQIEmpCTK4DJED0WUEjpMbDhlxRIG99OO+0U73//+2OfffaJTTfdtNUgFUU+//nPxymnnNL668MPPzy+973vLcWXijCTJk2KadOmxTrrrBOnn3567LXXXrFgwYI4++yz44Mf/GCkt1X233//uOCCCwrlb8qmnfKzb/nfwXNq6XNfW6350psFKUGfzsVYeWzE2e8Y/s2FQoNS88H+9+aIf7o0+yJTbnOwlx9evXb77aLHnou44y+FlnR4+z6bRmyyWsS5dwx+Tkw6l+RTb4x473bt4lKn14PPRPzdBRE3D/Kpo53Xj7i2y0LKP+4cccxOnc5khNqlRPUXr+ru5vttHvGWLdt9W99quzfiwrte+gF8+ajpLZaDXxWx+0bNOAS8O9We9Zq/IGLXUzs7G+jlkzhg84iTDujR1Oa82P6Bv+nRiHv+3H6W1hgX8Zq1I7ZeK+JbN7Q3hazXAVtEHDAxay/tCRAgQIAAAQIECBAgkEmgKTm5TCga911AIaXv5M2+4a9+9auYPHnyoAh/93d/F9/61rdaf/7AAw/EBhtssETbVGg56qijWn/vmmuuiZ133nmJPz/zzDPj0EMPbf29Sy65JKZMmVIYeFM27fTLysdcFHHeXdnoPj+5nWB3FSeQPpX1zh9lG2/rNSMenjX0WydpxLXGtd+wWWaZiJT8XXvFiJ/fE/FiBy9N/HM6zP612c5zuGtm+8D7xc8zWbSy16/X/rxXN1eaSzqvptTXg0+3D/ju5lpUSElBOu+O9nfnOrnSQTGtV4Ba7wC5+iSQzkd5w//r7JD5l08pFUDPGP7LltlXkn74fnhzxMPPDtw3Fd923iD7p+fSozV1l4iNV80+Jz0IECBAgAABAgQIECCQQaApObkMJJqOgIBCygigu+XgAr/73e9ab6yk68c//vFS56XstttuceWVV7aKMZdddtlSAy1cuDA222yz1rkpRxxxRJx22mmFcTdp0758evsb//MXdsa30SoR//v2iPT5L1dxAulLUO8/t31QfKdXOrIgffEp65XeNtl+wtIHxg82Tkr4psRvluvx5yLS+RE/ui3id4sdTJ9+Kf6+pyKebn+dL9P13wdEpFpDqa90aMyxl3d2QM3LF3LINhG7bRRx48MR3/l9tmV+dKf262Ouvgrs9b3ujhw5+JURX9un4Kne/kTEt66PeGH+0ANPXKP9pkqnm34a7TUTIj44SbGu4JAZjgABAgQIECBAgACBpQWalJMT//IKKKSUNzaNnFn6ZNd227Vfa0if6nrHO97xV4fZs2fH+PHjW5/xOuGEE2Lq1KkDGh199NFx8sknx4QJE2LGjBmFOTZt006HrafPSqVP6Q91TVgxIiWz06HiruIFfnp7xMd+0fm4ed7uyNL38G0j/n3P9m/e3/3niDnzIpZftn2GymorDD3fF+ZF3Pp4u3AyelTEOitF/PSOiG/8tvN1ppbp7JbzDokYv1y2fiPS+pxb21WkLFeqbn1m94jVV4j4zo0Rf3gkS+/2mSmHe00sG1r+1ulMoK9nfJbTXf99csHhSj+cJ1wV8czc4ReV3kpJRbdpg3x/7+UjjBsT8ZEd298DdBEgQIAAAQIECBAgQKDHAk3LyfWY0/BdCiikdAmnW28EvvGNb8Tf//3ftwa//fbbY8st/3I2QETccMMNscMO7W/4XHjhhZEOpR/oOumkk+IjH/lI649mzpwZq6/exenYAwzcxE3753dHnHR9+7P6L7/SV13S5/HTZ5W2Was3z4NRI1LR4YtXR3z3D51pHLpNxA9u7qzty1tlKaSMHR3xT2+I+PaNEY8sdrRCeivpsG3aX5VKv+Te6XXTIxEHnTV84W7x8T6za8RRkzq9wwi3S59X+up12SYxeeOId24dMf3JiBOuydY3tU7J8U/v5vD57HK5egx3ztRAg680JuLiwyPWXTnXrZfsnA6QTwctdXqtOKb9QzvQ9/cWHyMdiHXk9hFbvqLTkbUjQIAAAQIECBAgQIBALoEm5uRygencEwGFlJ6wGrQbgaeeeiq22mqr1lsku+66a/z6179eYpjzzjsvDjzwwNbfu+mmm/765srL73XuuefGQQcd1Prb6Q2XbbbZpqPpLNqUh2ucPh/WpCudUZwOAr/6TxFPz4lIh8unZPmeG7cLKI5g6P3TMHtuxDevj/jm7yIGe/paLy/sFpEKHP/cxQH1qTD2+oyHvg9VeFlpbMR/7hMxZdPOfb53U8S/Xt5Z+703jfjymyJWWb6z9iPeKr3ade7tERd3eMbJK8a1q5TrjI/4zZ8iTrupuyWkw2y2m9BdX726Ekj/iPjUZdkKmlN3jkhfYivsSofJf/XaiPufzjZk2kDSN8ZmPBtxzYMR6fuCi670ZtSuG0a8eoLiXDZVrQkQIECAAAECBAgQyCmgkJITUPdCBBRSCmE0SF6B9Lmut771rXH++efH8ssvH7/5zW+WKpT84Ac/iMMOO6x1q7vuuis233zggxEuvvji2HvvvVvtBjqQfrC5KqTkjaL+vRZIv+mevg515i0RjzwbkYofm60W8a6tI/baJGKz1SPSueZ7fb/9qa0sVzofJX2ia1YHXwFaNO7OwxReUk72lLe0j/jo5Ernqf/vLRGfvXzoQ+/f9sqIT70xYs0VOxm1RG1SUM6/M+KyYT7xtfaKEe97zUuHeF/9QMQZ07pbyFHbR0xaN1vfdGJ6ehUqfXdtxbHt6qkrk0A6D2jqJRG/mj58t0O2ivi33dvUhV2PPhtx3BXdDbf/5hFv3jLisWcjHpsdkX4w0w/zhqsUPMnupqcXAQIECBAgQIAAAQLNE1BIaV7My7hihZQyRqVEczr11FPjyCOP7HpGF110Uey7777D9j/mmGPiv/7rv1rtTjnllPibv/mbpfr0upAy3CRt2sMJ+fN+Ccx+MeKZF9r57fSVneXHLHnnz/064pSM55KnXzTPcqh9uuMb1o+45k9Dr/qVa0Sc+faIVAT642PtAk/Kyb7qFe3+Kw1wvsldf24XjM74Y8QDz7THX250xHvSJ8M2jdhxvfYYlbzSb/jf8ljEjTMirn94yVeMJqwUscsG7UO81xj30vJSu+9mDOii3ukci607+Pbei/PblbT0Hb/fPtQOVPo02BZrROy0XsTWa1bkMJryPBUzZ0f8vz+0/+/ZF5ee11rjIj742ojDt4kYV2QRJd3qT09H/MdV3WG8adOIg1/VXV+9CBAgQIAAAQIECBAg0AMBObkeoBoys4BCSmayZnXoRyHlH//xH+PEE09swX71q1+Nj3/84wMi9/rTXsNF1qY9nJA/L4tAOsj9fT9t/zJ5J9c2a7YPfn/wL0WLTvqsOS4ifX3qtieGb33wlhE/uWPpdluuEfHe7SLe8aqIFV5WDEqtn53bPsw+1R5WXq59v1pdDz3z0gLT4d0brbJ0VSwt+InZEZ//dUT6XFOWK6F9etfhCyAp4/+jW+LXYBsAACAASURBVAc+DGnR/VZdLuK9r4541ZpZZqBtRDz8TMRl0yNufyLihfkR45Ztf21tj42WrJcVipXeJjm2yzdS0uFXB0wsdDoGI0CAAAECBAgQIECAQB4BObk8evoWJaCQUpRkTcd54YUXYtasWV2vbpVVVokxYwbIkP5lxE9+8pPxpS99qfVXX/7yl+Mf/uEfBr2Xw+a7DoOODRRIx2r8/c+XPAh+IIbdN4p49doR//nbbEhZ3mBJnwD7zUODHySfDqdP+f5CP22UbTnlb33Ore3XdLJcb94iYv9hEuJPPd9+femeJ4cfedlR7XNbFFOGtxrpFqn6+F+/jbhzZvaZ/N0OEdutnb2fHgQIECBAgAABAgQIEOiRgEJKj2ANm0lAISUTl8ZFCkydOrVVPEnXCSecEOmvh7pmz54d48ePj3SeylDtjz766Dj55JNjwoQJrYPri7ps2kVJGqdfAuk34M+9I+J7f1z67JMtVo84dJuIt24Z8cDTEe/5ccTzHZ6rsuryEZuvFnF9hz9e6TNe6ezqp+YMvvKP7RTxf3bul0wF7zP9yYivXRcxd7HDv4daxopjIj7x+oh1Vx56sT+5LeLiezsHSW+5/MsbI1ZZvvM+Wo6MwDUPRHw/49k6668c8Q87Ryy37MjM2V0JECBAgAABAgQIECAwgICcnMeiDAIKKWWIQgPnsPjnvDopoiwi2m233eLKK6+MPffcMy699NKl5BYuXNg6hP7ee++NI444Ik477bTCdG3ahVEaqM8CM2ZFXPeniKfnto+9WGeliNen80kWO5fhl/dEfPSi9qeHhrrGj22fUTLceemLj5GKNk/OaX+harBrzKiIXxwWkY41TwfejxkdkY4MWX2FPmOV+XY3PdJ+eyS9bTDUtfzo9uEbw7050u0nw9L32HbeoMxS5pYEnp4T8ZVrIx7v8Bt/qc9h20bssmHbb+HCiIdntQ9kWhgRqTiXCi2jR/ElQIAAAQIECBAgQIBAXwXk5PrK7WaDCCikeDT6LrB4EWW4z3m9fHLpIPqjjjoq0gZ67bXXxute97olmpx11lnx7ne/u/X3LrnkkpgyZUph67NpF0ZZy4GefL5drFiUs0zneaRiRZUKAVc/EHHyDYMfOv+69doFjqseyBbCHdeN+MMjES8Okv/fZNV2fjblba968KWx114x4vBtI/baNGIrR3O0YdJrRhfdFXHXnwcOwsQ1IvbcuH0Ix3DXFdMjfnjLcK2W/vN0uM1Hd5JQzy7X/x73Phnx39e3Dxwa7tprk4gDX9n+Bl86aOnGhyNumNEuoiy60g/iTutFbL2mb/EN5+nPCRAgQIAAAQIECBAoTEBOrjBKA+UQUEjJgadrdoHFz0T5yle+Ep/4xCcyDTJv3ryYNGlSTJs2LdZbb73WGyepWJI+93XOOee0iizPPPNM7LfffnHhhRdmGnu4xjbt4YSa+efpvPCf3B5xxs3tX95e/JqQCgHbRRy0ZcQGq1TDJ73skHKnV94fMfP59hsia60Ykc5SScctfHLpF8GGXdhQ56lMmtA+6H6oIzrSWzT/vmfEu7eOGJUm1NQrJbhTteu8OyM2WLmd8E5J7lSBSjDLLBNx/1PtzzId+ZqILdYYWuqsmyMuvz+7ZorBf0zxea/sciPTIz0TP7094o5BzksZt2zE/ltE7LpR+5W09Lm3a/809FxTIeWQbSLWGDcya3JXAgQIECBAgAABAgQaJSAn16hwl3axCimlDU39JvbAAw/ERhtt1FrYqFGjYs01h/4V8/TmSvq/l1/Tp0+PyZMnR/rfdI0bN65VSJkzp30Aw/bbb9/67Ndqq61WKKJNu1DOWgyWCguf+GXEzY8NvZx0RshX9x7+S0tlR3nk2Yg3fS/imQ5+uX3RWtJ5KinnP20Ao23Wan81KJ3R0sl1wl7tYkpjr2sejPj+HztbfvoM09E7RmwyxD54xh8jrl7sFaDORm63+r+TJdGzeI102/kL2tXKaY9GpB/kF+ZFrLZCu9iWfhDTD2r6ez+8OeK6hzqbbXoz6cjtI9K5OS4CBAgQIECAAAECBAj0UEBOroe4hu5YQCGlYyoN8wqkwscmm2zS8TCf/exn49hjjx2w/axZs1oH1f/4xz+O++67r1WYmThxYrznPe+JY445JsaOXezwh47vOHRDm3ZBkDUZJp078qHzI/44TBFl0XK3ekXEd94Ssd4wZ3+Xnef0myI+c3nns9xns4hf3LN0+/QCxc7rZ8vjp3NULjw0In29qnFXOs/k/14x+PfRBgJ59drts1IGe43nnFsjLr0vO2UKRHpFaCUJ9Ox4Je5xw8PtM3iyXO/cKmJy5/9czzK0tgQIECBAgAABAgQIEFgkICfnWSiDgEJKGaJgDpUQsGlXIkx9m+R3fx9x3K+z3e7Tb4z40Guz9Slb6xfnR/z3DRFfvnb4mU3ZJOJ3Dw38BssO60Tc8njE8/OGH2fxFv+8S8SHd8jWpxatL58ecVYX55lMfcPgb6X8fkbEt2/MzrPLBhGHbZe9nx7lFUifh0vPQjrMKMu17koRU3dpf07ORYAAAQIECBAgQIAAgR4JyMn1CNawmQQUUjJxadxkAZt2k6O/5NqfmxvxtrMibh/kyIHBpNKh6ucdEjG+j7/I//Sc9uHxv7wn4tYnItIZKJuvHpHOlZ68ccTaK2WPazqa4+d3R5xzW8QlA7zQsMdG7eM6fvNQxOwXBx4/5eK7+arUhiu330rpp2F2oYJ7pKB9+ZrOv4G2+O333zzizVsOPKHnX4w4/qqIx2Znm/BHdozYeq1sfbQut8CDT0d88aolD5bvdMZH7xCxzdqdttaOAAECBAgQIECAAAECmQXk5DKT6dADAYWUHqAasp4CNu16xrWbVaXCxOE/6aZnxKkH9u9LOBffE/G5X0c88MzAc11luYj0hkc6d2T0qOzrSccu/P6RiNueiJgzL2L5ZSO2WTNiqzUjjjw34uohzqt+/XqdH8Xw8pldfsTQR39kX0nJe8x6IeJTl0bMTyfLZ7zS99Pe++rBO6XD68+Y1tmg6ZNeO28QkQ79Sde4MREbruJthM70yt0qnZ1y8vXdzfHQbSPeuGF3ffUiQIAAAQIECBAgQIBABwJych0gadJzAYWUnhO7QV0EbNp1iWT+dfzsjohjft7dOOnQ+be9qru+WXpdcGd7jp3k3j+VPjk2qf0WSVHXTY9EvP9nEX9+fuARU37/2iEKLUPN4+LDG3ZOyjN/KaSkV4GyXq9fP+KIIQopqRp2wV3tV4wGu1YaG7HByhHp/nfOXPKthfVXjnjD+hGvntA+vNxVTYE/PtL+Zl831yHbROy2UTc99SFAgAABAgQIECBAgEBHAnJyHTFp1GMBhZQeAxu+PgI27frEMu9Kzr8z4iMXdTfK1/aJOPiV3fXttNfNj7U/PfbC/E57RHznzRFv2qzz9p20vP7hiE/8YuA3YlLu/ZouCinLjoq4+v0RE8Z3MoOatJk7v33Q/MxBqlJDLXOvTYev3KViSqpqpVeYHn/ZZ75WWz5izRXbBZShrvXGtws2G6xSE/SGLePeJ9ufj+vmOmr7iEnrdtNTHwIECBAgQIAAAQIECHQkICfXEZNGPRZQSOkxsOHrI2DTrk8s864kHaD+jh91N8qZb4t4wwbd9e2011eujfj6bztt3W53wOYR39y/2LdS0rgzZkX86v6Ic26NuH7GS3M6eMuIn9yRbY6p9SFbRxy/V/Z+le9x0V0R592ZfRkf3TFiqw7PM0mH/9z+RERKqi/6Vls65CYddtPJNWGliL99bXcH73Qyvja9E3hxfsTXr4u496ls9xg/NuJfd2vYoUXZiLQmQIAAAQIECBAgQCC/gJxcfkMj5BdQSMlvaISGCNi0GxLoDpaZco5H/DT7GxU7rBNxxtvaZ4n06nr02Yi9z4h4ak62O6Svep17SMSre3RmdMrLP/hMxPNzI5YbE7HOihEf+XnEr+/PNs9+njGTbWY9bt3NYeCbrBrxsddHjB3d3eTueCLi67/J1vdNm0Yc3Idv12WbldadCFz1QMQPOjwvZ9F4B2wRccDETkbXhgABAgQIECBAgAABAl0LyMl1TadjgQIKKQViGqreAjbtesc36+rOuiVi6iXZen1hz4h0LnMvr3R2+KE/6e4Ox0+JSMcd9Ov61X0RHzivs3Nc0pz23TTia/tGrDCmXzMs2X3S4TxDnWWy+HRHLRPxoddGbJejMnbWzRGXZ6x0LT864l93j1jdeSkle3qGn046i+fbN0Tc8+TwbVOLNcdFHL2jN5A609KKAAECBAgQIECAAIEcAnJyOfB0LUxAIaUwSgPVXcCmXfcIZ1tfyjlOvTji5/d01m+vTSJO3Dti1eU7a99tq0vubRcnurmO2yPi/UOcS97NmMP1+fFt7YLUvAVDt9x1g4gvvSlinSadjfJykvRaz7m3R1wxTHEjFVHSeSU7rTcc/+B//uTzEcdeHvHiMIEZaITDto3YZcPu763nyAmkV9pOvynivmE+8ZWKKEe+JmLj1UZuru5MgAABAgQIECBAgEBjBOTkGhPqUi9UIaXU4TG5MgnYtDuLxtNzIm6YEfHknIj0uah0bMKkdXr7OavOZlZ8q5RzPPaKiAvvHnrsvTeN+Nwe/SkCVOmNlEVql09vf1HoF/cu7bj2ihFHbNd+U+YV44qPYeVGTN+Vu+Hh9uHwd/15yemnAsrr1msXULZ8Rb6l3f9UxPFXdzfGmydG7L9Fd331GnmBVET73cMRV94fMfP5Jeez4piI3TeO2HFdb6KMfKTMgAABAgQIECBAgEBjBOTkGhPqUi9UIaXU4TG5MgnYtIeORjr/4oI7I86YFvHAM0u2nTQh4h1bRaTP6ff6jYx+PzOzXoj41fSIn90ZcfHLCgFTNo44cMuIPTeJWHm5/szs8eci9jlj6fzncHdPRa/zDonYNseXoIa7x1B/vmBhxE2PtPO3s+ZGLDsqYqNVInbbyFeiBnRLr/CkQ+Efebb9Os9yoyPSmSjrrpwnDC/1nf5UxAndFlK2iNjfuRnFBGIER5n9YkQ6Jye9fpd+QFcaG7HFGvXbxEeQ2K0JECBAgAABAgQIEOhMQE6uMyeteiugkNJbX6PXSMCmPXgwb3ks4v/8MuL2mUMHPH3e6vOT+/NmRr8fvZRnvPXxiCdmRyxc2H57Yqs1I0aP6vdMIr52XcRXM54RfuDEiP/cN2KZVFFxEXjsuYjPXdFOoGe90utDqQLmIkCAAAECBAgQIECAAAECBQjIyRWAaIjcAgopuQkN0BQBm/bAkU5fADrqvIg7X/aVocGei302jfjy3v17Q6Mpz+fi60wFnbedFfH8vM5Wn2onpxwYMWWTztpr1RCBdFbGdX/Kttj0KtG/7hqx1krZ+mlNgAABAgQIECBAgAABAgQGEZCT82iUQUAhpQxRMIdKCNi0Bw7T138T8ZXrsoXwG/u2P3nl6p3Az++O+OhFnZ0V/m+7RXxg+97NxcgVFZj2aMTJ12ebfHoTJb2R4iJAgAABAgQIECBAgAABAgUJyMkVBGmYXAIKKbn4dG6SgE176WjPnN0+j+Px2dmehDdtEvE/b4lIZ2O7eidw2X0R/35VxN2DvC201riIf9ol4m2vEoveRaHCI8+dH3HGH9sH13RypTM0PrpjxIardtJaGwIECBAgQIAAAQIECBAg0JGAnFxHTBr1WEAhpcfAhq+PgE176Vied2f7rYdurgveE7HNWt301CeLwLNzI65+IOKy6e2CyosL2oe4T944YveNItYYl2U0bRsnkA4a/+HNEb9/ZOilrzw24m8mRUxco3FEFkyAAAECBAgQIECAAAECvRWQk+utr9E7E1BI6cxJKwJh0176ITj1pojPXt7dw3H6Qe1EvosAgZILPP9ixPUPR1zzYMT9Ty852RWWbR8sv8O6EeutXPKFmB4BAgQIECBAgAABAgQIVFFATq6KUavfnBVS6hdTK+qRgE17gELKHyI+e0V34N87qJ1/dREgUBGB9Kmv9FrTk89HzF8YMW5MxOarR6y6fEUWYJoECBAgQIAAAQIECBAgUEUBObkqRq1+c1ZIqV9MrahHAjbtpWEvuCvi6Auzg6ejUS48NGKrNbP31YMAAQIECBAgQIAAAQIECBAgQKA5AnJyzYl1mVeqkFLm6JhbqQRs2kuH48/PR+x3RsQjz2UL1X6bR5y8f8QyDpvPBqc1AQIECBAgQIAAAQIECBAgQKBhAnJyDQt4SZerkFLSwJhW+QRs2gPH5L9+G/Gla7PF65v7Rbx5YrY+WhMgQIAAAQIECBAgQIAAAQIECDRPQE6ueTEv44oVUsoYFXMqpYBNe+Cw/OmZiA+dH3HL452F7cCJEV+cErHi2M7aa0WAAAECBAgQIECAAAECBAgQINBcATm55sa+TCtXSClTNMyl1AI27cHDc8cTEf94ccQfHxs6hG/eIuLY3SPWXLHUoTY5AgQIECBAgAABAgQIECBAgACBkgjIyZUkEA2fhkJKwx8Ay+9cwKY9tNWMWREX3R1x1q0Rtz2xZNs3bhhx8JYRe28WsfJynZtrSYAAAQIECBAgQIAAAQIECBAg0GwBOblmx78sq1dIKUskzKP0AjbtzkL03NyI3z8S8eSciFHLRExYMeLVEyKWHdVZf60IECBAgAABAgQIECBAgAABAgQILBKQk/MslEFAIaUMUTCHSgjYtCsRJpMkQIAAAQIECBAgQIAAAQIECBCokYCcXI2CWeGlKKRUOHim3l8Bm3Z/vd2NAAECBAgQIECAAAECBAgQIECAgJycZ6AMAgopZYiCOVRCwKZdiTCZJAECBAgQIECAAAECBAgQIECAQI0E5ORqFMwKL0UhpcLBM/X+Cti0++vtbgQIECBAgAABAgQIECBAgAABAgTk5DwDZRBQSClDFMyhEgI27UqEySQJECBAgAABAgQIECBAgAABAgRqJCAnV6NgVngpCikVDp6p91fApt1fb3cjQIAAAQIECBAgQIAAAQIECBAgICfnGSiDgEJKGaJgDpUQsGlXIkwmSYAAAQIECBAgQIAAAQIECBAgUCMBObkaBbPCS1FIqXDwTL2/Ajbt/nq7GwECBAgQIECAAAECBAgQIECAAAE5Oc9AGQQUUsoQBXOohIBNuxJhMkkCBAgQIECAAAECBAgQIECAAIEaCcjJ1SiYFV6KQkqFg2fq/RWwaffX290IECBAgAABAgQIECBAgAABAgQIyMl5BsogoJBShiiYQyUEbNqVCJNJEiBAgAABAgQIECBAgAABAgQI1EhATq5GwazwUhRSKhw8U++vgE27v97uRoAAAQIECBAgQIAAAQIECBAgQEBOzjNQBgGFlDJEwRwqIWDTrkSYTJIAAQIECBAgQIAAAQIECBAgQKBGAnJyNQpmhZeikFLh4Jl6fwVs2v31djcCBAgQIECAAAECSwk8/lzEk3Mi5i+IWGFMxHrjI8aMBkWAAAECBAjUWEBOrsbBrdDSFFIqFCxTHVkBm/bI+rs7AQIECBAgQIBAQwUWLIy484mIPzwacc2DEfMWvASx+eoRr1svYtu1I1ZerqFAlk2AAAECBOotICdX7/hWZXUKKVWJlHmOuIBNe8RDYAIECBAgQIAAAQJNE5g7P+KXd0dcePfQK9941YjDt41Yd+WmCVkvAQIECBCovYCcXO1DXIkFKqRUIkwmWQYBm3YZomAOBAgQIECAAAECjRFIb6L8/K6I8+/qbMnpM19/+9qIV6zYWXutCBAgQIAAgUoIyMlVIky1n6RCSu1DbIFFCdi0i5I0DgECBAgQIECAAIEOBO75c8SJ13bQcLEm+2wW8dZXZuujNQECBAgQIFBqATm5UoenMZNTSGlMqC00r4BNO6+g/gQIECBAgAABAgQyCPzktoiL783QISJWWDbiM7tHrLp8tn5aEyBAgAABAqUVkJMrbWgaNTGFlEaF22LzCNi08+jpS4AAAQIECBAgQCCDwNNzIo67PGLO/Ayd/tI0nZXyhg2z99ODAAECBAgQKKWAnFwpw9K4SSmkNC7kFtytgE27Wzn9CBAgQIAAAQIECGQUeODpiC9elbHTX5ofsEXEARO766sXAQIECBAgUDoBObnShaSRE1JIaWTYLbobAZt2N2r6ECBAgAABAgQIEOhC4P6nIo6/uouOEbHf5hFv2bK7vnoRIECAAAECpROQkytdSBo5IYWURobdorsRsGl3o6YPAQIECBAgQIAAgS4EHn8u4rgrIhYszN75nVtFTN4kez89CBAgQIAAgVIKyMmVMiyNm5RCSuNCbsHdCti0u5XTjwABAgQIECBAgEAXAqf9IeI3D2XrOGqZiE+9MWLdlbP105oAAQIECBAorYCcXGlD06iJKaQ0KtwWm0fApp1HT18CBAgQIECAAAECGQX++EjEf9+QrdMbNog4fLtsfbQmQIAAAQIESi0gJ1fq8DRmcgopjQm1heYVsGnnFdSfAAECBAgQIECAQAaBOfMiTr8p4g+PdNZp+dERH31dxKarddZeKwIECBAgQKASAnJylQhT7SepkFL7EFtgUQI27aIkjUOAAAECBAgQIECgQ4Gnno/4wc0RNz82dIcVlo34m+0jtl6rw4E1I0CAAAECBKoiICdXlUjVe54KKfWOr9UVKGDTLhDTUAQIECBAgAABAgQ6FXh2bsRv/hRx9YMRjzy7ZK9lR0XsskHE69aP2HjVTkfUjgABAgQIEKiQgJxchYJV46kqpNQ4uJZWrIBNu1hPoxEgQIAAAQIECBDIJDDnxYg7Zkb8+fmI+Qsjxo2J2Hz1iLVWzDSMxgQIECBAgEC1BOTkqhWvus5WIaWukbWuwgVs2oWTGpAAAQIECBAgQIAAAQIECBAgQIDAkAJych6QMggopJQhCuZQCQGbdiXCZJIECBAgQIAAAQIECBAgQIAAAQI1EpCTq1EwK7wUhZQKB8/U+ytg0+6vt7sRIECAAAECBAgQIECAAAECBAgQkJPzDJRBQCGlDFEwh0oI2LQrESaTJECAAAECBAgQIECAAAECBAgQqJGAnFyNglnhpSikVDh4pt5fAZt2f73djQABAgQIECBAgAABAgQIECBAgICcnGegDAIKKWWIgjlUQsCmXYkwmSQBAgQIECBAgAABAgQIECBAgECNBOTkahTMCi9FIaXCwTP1/grYtPvr7W4ECBAgQIAAAQIECBAgQIAAAQIE5OQ8A2UQUEgpQxTMoRICNu1KhMkkCRAgQIAAAQIECBAgQIAAAQIEaiQgJ1ejYFZ4KQopFQ6eqfdXwKbdX293I0CAAAECBAgQIECAAAECBAgQICAn5xkog4BCShmiYA6VELBpVyJMJkmAAAECBAgQIECAAAECBAgQIFAjATm5GgWzwktRSKlw8Ey9vwI27f56uxsBAgQIECBAgAABAgQIECBAgAABOTnPQBkEFFLKEAVzqISATbsSYTJJAgQIECBAgAABAgQIECBAgACBGgnIydUomBVeikJKhYNn6v0VsGn319vdCBAgQIAAAQIECBAgQIAAAQIECMjJeQbKIKCQUoYomEMlBGzalQiTSRIgQIAAAQIECBAgQIAAAQIECNRIQE6uRsGs8FIUUiocPFPvr4BNu7/e7kaAAAECBAgQIECAAAECBAgQIEBATs4zUAYBhZQyRMEcKiFg065EmEySAAECBAgQIECAAAECBAgQIECgRgJycjUKZoWXopBS4eCZen8FbNr99XY3AgQIECBAgAABAgQIECBAgAABAnJynoEyCCiklCEK5lAJAZt2JcJkkgQIECBAgAABAgQIECBAgAABAjUSkJOrUTArvBSFlAoHz9T7K2DT7q+3uxEgQIAAAQIECBAgQIAAAQIECBCQk/MMlEFAIaUMUTCHSgjYtCsRJpMkQIAAAQIECBAgQIAAAQIECBCokYCcXI2CWeGlKKRUOHim3l8Bm3Z/vd2NAAECBAgQIECAAAECBAgQIECAgJycZ6AMAgopZYiCOVRCwKZdiTCZJAECBAgQIECAAAECBAgQIECAQI0E5ORqFMwKL0UhpcLBM/X+Cti0++vtbgQIECBAgAABAgQIECBAgAABAgTk5DwDZRBQSClDFMyhEgI27UqEySQJECBAgAABAgQIECBAgAABAgRqJCAnV6NgVngpCikVDp6p91fApt1fb3cjQIAAAQIECBAgQIAAAQIECBAgICfnGSiDgEJKGaJgDpUQsGlXIkwmSYAAAQIECBAgQIAAAQIECBAgUCMBObkaBbPCS1FIqXDwTL2/Ajbt/nq7GwECBAgQIECAAAECBAgQIECAAAE5Oc9AGQQUUsoQBXOohIBNuxJhMkkCBAgQIECAAAECBAgQIECAAIEaCcjJ1SiYFV6KQkqFg2fq/RWwaffX290IECBAgAABAgQIECBAgAABAgQIyMl5BsogoJBShiiYQyUEbNqVCJNJEiBAgAABAgQIECBAgAABAgQI1EhATq5GwazwUhRSKhw8U++vgE27v97uRoAAAQIECBAgQIAAAQIECBAgQEBOzjNQBgGFlDJEwRwqIWDTrkSYTJIAAQIECBAgQIAAAQIECBAgQKBGAnJyNQpmhZeikFLh4Jl6fwVs2v31djcCBAgQIECAAAECBAgQIECAAAECcnKegTIIKKSUIQrmUAkBm3YlwmSSBAgQIECAAAECBAgQIECAAAECNRKQk6tRMCu8FIWUCgfP1PsrYNPur7e7ESBAgAABAgQIECBAgAABAgQIEJCT8wyUQUAhpQxRMIdKCNi0KxEmkyRAgAABAgQIECBAgAABAgQIEKiRgJxcjYJZ4aUopFQ4eKbeXwGbdn+93Y0AAQIECBAgQIAAAQIECBAgQICAnJxnoAwCCilliII5VELApl2JMJkkAQIECBAgQIAAAQIECBAgQIBAjQTk5GoUzAovRSGlwsEz9f4K2LT76+1uBAgQ4oC3mgAAIABJREFUIECAAAECBAgQIECAAAECBOTkPANlEFBIKUMUzKESAjbtSoTJJAkQIECAAAECBAgQIECAAAECBGokICdXo2BWeCkKKRUOnqn3V8Cm3V9vdyNAgAABAgQIECBAgAABAgQIECAgJ+cZKIOAQkoZomAOlRCwaVciTCZJgAABAgQIECBAgAABAgQIECBQIwE5uRoFs8JLUUipcPBMvb8CNu3+ersbAQIECBAgQIAAAQIECBAgQIAAATk5z0AZBBRSyhAFc6iEgE27EmEySQIECBAgQIAAAQIECBAgQIAAgRoJyMnVKJgVXopCSoWDZ+r9FbBp99fb3QgQIECAAAECBAgQIECAAAECBAjIyXkGyiCgkFKGKJhDJQRs2pUIk0kSIECAAAECBAgQIECAAAECBAjUSEBOrkbBrPBSFFIqHDxT76+ATbu/3u5GgAABAgQIECBAgAABAgQIECBAQE7OM1AGAYWUMkTBHCohYNOuRJhMkgABAgQIECBAgAABAgQIECBAoEYCcnI1CmaFl6KQUuHgmXp/BWza/fV2NwIECBAgQIAAAQIECBAgQIAAAQJycp6BMggopJQhCuZQCQGbdiXCZJIECBAgQIAAAQIECBAgQIAAAQI1EpCTq1EwK7wUhZQKB8/U+ytg0+6vt7sRIECAAAECBAgQIECAAAECBAgQkJPzDJRBQCGlDFEwh0oI2LQrESaTJECAAAECBAgQIECAAAECBAgQqJGAnFyNglnhpSikVDh4pt5fAZt2f73djQABAgQIECBAgAABAgQIECBAgICcnGegDAIKKWWIgjlUQsCmXYkwmSQBAgQIECBAgAABAgQIECBAgECNBOTkahTMCi9FIaXCwTP1/grYtPvr7W4ECBAgQIAAAQIECBAgQIAAAQIE5OQ8A2UQUEgpQxTMoRICNu1KhMkkCRAgQIAAAQIECBAgQIAAAQIEaiQgJ1ejYFZ4KQopFQ6eqfdXwKbdX293I0CAAAECBAgQIECAAAECBAgQICAn5xkog4BCShmiYA6VELBpVyJMJkmAAAECBAgQIECAAAECBAgQIFAjATm5GgWzwktRSKlw8Ey9vwI27f56uxsBAgQIECBAgAABAgQIECBAgAABOTnPQBkEFFLKEAVzqISATbsSYTJJAgQIECBAgAABAgQIECBAgACBGgnIydUomBVeikJKhYNn6v0VsGn319vdCBAgQIAAAQIECBAgQIAAAQIECMjJeQbKIKCQUoYomEMlBGzalQiTSRIgQIAAAQIECBAgQIAAAQIECNRIQE6uRsGs8FIUUiocPFPvr4BNu7/e7kaAAAECBAgQIECAAAECBAgQIEBATs4zUAYBhZQyRMEcKiFg065EmEySAAECBAgQIECAAAECBAgQIECgRgJycjUKZoWXopBS4eCZen8FbNr99XY3AgQIECBAgAABAgQIECBAgAABAnJynoEyCCiklCEK5lAJAZt2JcJkkgQIECBAgAABAgQIECBAgAABAjUSkJOrUTArvBSFlAoHz9T7K2DT7q+3uxEgQIAAAQIECBAgQIAAAQIECBCQk/MMlEFAIaUMUTCHSgjYtCsRJpMkQIAAAQIECBAgQIAAAQIECBCokYCcXI2CWeGlKKRUOHim3l8Bm3Z/vd2NAAECBAgQIECAAAECBAgQIECAgJycZ6AMAgopZYiCOVRCwKZdiTCZJAECBAgQIECAAAECBAgQIECAQI0E5ORqFMwKL0UhpcLBM/X+Cti0++vtbgQIECBAgAABAgQIECBAgAABAgTk5DwDZRBQSClDFMyhEgI27UqEySQJECBAgAABAgQIECBAgAABAgRqJCAnV6NgVngpCikVDp6p91fApt1fb3cjQIAAAQIECBAgQIAAAQIECBAgICfnGSiDgEJKGaJgDpUQsGlXIkwmSYAAAQIECBAgQIAAAQIECBAgUCMBObkaBbPCS1FIqXDwTL2/Ajbt/nq7GwECBAgQIECAAAECBAgQIECAAAE5Oc9AGQQUUsoQBXOohIBNuxJhMkkCBAgQIECAAAECBAgQIECAAIEaCcjJ1SiYFV6KQkqFg2fq/RWwaffX290IECBAgAABAgQIECBAgAABAgQIyMl5BsogoJBShiiYQyUEbNqVCJNJEiBAgAABAgQIECBAgAABAgQI1EhATq5GwazwUhRSKhw8U++vgE27v97uRoAAAQIECBAgQIAAAQIECBAgQEBOzjNQBgGFlDJEwRwqIWDTrkSYTJIAAQIECBAgQIAAAQIECBAgQKBGAnJyNQpmhZeikFLh4Jl6fwVs2v31djcCBAgQIECAAAECBAgQIECAAAECcnKegTIIKKSUIQrmUAkBm3YlwmSSBAgQIECAAAECBAgQIECAAAECNRKQk6tRMCu8FIWUCgfP1PsrYNPur7e7ESBAgAABAgQIECBAgAABAgQIEJCT8wyUQUAhpQxRMIdKCNi0KxEmkyRAgAABAgQIECBAgAABAgQIEKiRgJxcjYJZ4aUopFQ4eKbeXwGbdn+93Y0AAQIECBAgQIAAAQIECBAgQICAnJxnoAwCCilliII5VELApl2JMJkkAQIECBAgQIAAAQIECBAgQIBAjQTk5GoUzAovRSGlwsEz9f4K2LT76+1uBAgQIECAAAECBAgQIECAAAECBOTkPANlEFBIKUMUzKESAjbtSoTJJAkQIECAAAECBAgQIECAAAECBGokICdXo2BWeCkKKRUOnqn3V8Cm3V9vdyNAgAABAgQIECBAgAABAgQIECAgJ+cZKIOAQkoZomAOlRCwaVciTCZJgAABAgQIECBAgAABAgQIECBQIwE5uRoFs8JLUUipcPBMvb8CNu3+ersbAQIECBAgQIAAAQIECBAgQIAAATk5z0AZBBRSyhAFc6iEgE27EmEySQIECBAgQIAAAQIECBAgQIAAgRoJyMnVKJgVXopCSoWDZ+r9FbBp99fb3QgQIECAAAECBAgQIECAAAECBAjIyXkGyiCgkFKGKJhDJQRs2pUIk0kSIECAAAECBAgQIECAAAECBAjUSEBOrkbBrPBSFFIqHDxT76+ATbu/3u5GgAABAgQIECBAgAABAgQIECBAQE7OM1AGAYWUMkTBHCohYNOuRJhMkgABAgQIECBAgAABAgQIECBAoEYCcnI1CmaFl6KQUuHgmXp/BWza/fV2NwIECBAgQIAAAQIECBAgQIAAAQJycp6BMggopJQhCuZQCQGbdiXCZJIECBAgQIAAAQIECBAgQIAAAQI1EpCTq1EwK7wUhZQKB8/U+ytg0+6vt7sRIECAAAECBAgQIECAAAECBAgQkJPzDJRBQCGlDFEwh0oI2LQrESaTJECAAAECBAgQIECAAAECBAgQqJGAnFyNglnhpSikVDh4pt5fAZt2f73djQABAgQIECBAgAABAgQIECBAgICcnGegDAIKKWWIgjlUQsCmXYkwmSQBAgQIECBAgAABAgQIECBAgECNBOTkahTMCi9FIaXCwavT1L/4xS/Gv/zLv/x1SQsXLhxyebNmzYoTTzwxzjnnnLjvvvti9OjRMXHixDjkkEPimGOOibFjxxbOY9MunNSABAgQIECAAAECBAgQIECAAAECBIYUkJPzgJRBQCGlDFFo+BzuuOOOeM1rXhNz5szpqJBy//33xx577BHTp09vtR83blzMnz8/XnjhhdZfb7/99nHppZfGaqutVqisTbtQToMRIECAAAECBAgQIECAAAECBAgQGFZATm5YIg36IKCQ0gdktxhcYMGCBbHrrrvGNddcEzvvvHNce+21rcaDvZEyb968mDRpUkybNi3WWWedOP3002OvvfaKNM7ZZ58dH/zgByO9rbL//vvHBRdcUCi9TbtQToMRIECAAAECBAgQIECAAAECBAgQGFZATm5YIg36IKCQ0gdktxhc4Otf/3p8/OMfj8MOOyw233zzOO6444YspJxyyilx1FFHtdosKr4sPvqZZ54Zhx56aOtvXXLJJTFlypTC+G3ahVEaiAABAgQIECBAgAABAgQIECBAgEBHAnJyHTFp1GMBhZQeAxt+cIF0tsm2224byy+/fNx2223xzW9+c9hCym677RZXXnllTJ48OS677LKlBk9vsmy22Watc1OOOOKIOO200woLgU27MEoDESBAgAABAgQIECBAgAABAgQIEOhIQE6uIyaNeiygkNJjYMMPLpA+yZXOMknFjlT0OPbYY4cspMyePTvGjx/f+ozXCSecEFOnTh1w8KOPPjpOPvnkmDBhQsyYMaOwENi0C6M0EAECBAgQIECAAAECBAgQIECAAIGOBOTkOmLSqMcCCik9Bjb8wALf/va340Mf+lDrfJOLL7641Wi4QsoNN9wQO+ywQ6vthRdeGPvtt9+Ag5900knxkY98pPVnM2fOjNVXX72QMNi0C2E0CAECBAgQIECAAAECBAgQIECAAIGOBeTkOqbSsIcCCik9xDX0wAIPPfRQbL311jF37ty4+eabY9NNN201HK6Qct5558WBBx7YanvTTTfFdtttN+ANzj333DjooINaf5YOpd9mm20KCYVNuxBGgxAgQIAAAQIECBAgQIAAAQIECBDoWEBOrmMqDXsooJDSQ1xDDyzw5je/OS644II4/vjj45Of/ORfGw1XSPnBD37QOpQ+XXfddVfrcPqBrvSGy9577936o4EOpB8sLos25eHils5hcREgQIAAAQIECBAgQIAAAQIECBAg0HsBhZTeG7vD8AIKKcMbNbrFqaeeGkceeWTXBhdddFHsu+++f+3//e9/P9773vfGa17zmvjd734Xyy677F//TCGla2YdCRAgQIAAAQIECBAgQIAAAQIECNRSQCGllmGt3KIUUioXsv5OuMhCyqOPPtr6pNdTTz0V11133V/PO1m0ouEKKT7t1d/YuxsBAgQIECBAgAABAgQIECBAgACBkRZQSBnpCLh/ElBI8RwMKfDCCy/ErFmzulZaZZVVYsyYMa3+6c2WVJj58Ic/HCeccMJSY/7Hf/xHfOELX2j9/UX3HDt2bKT/S5fD5rsOg44ECBAgQIAAAQIECBAgQIAAAQIEKimgkFLJsNVu0goptQtpeRe0xx57xBVXXJFpgh/72Mfia1/7WqvP7NmzY/z48bFgwYJWIWbq1KkDjnX00UfHySefHBMmTIgZM2Zkut9QjW3ahVEaiAABAgQIECBAgAABAgQIECBAgEBHAnJyHTFp1GMBhZQeAxv+JYG8hZQ00m677RZXXnll7LnnnnHppZcuxZsOgk+H0N97771xxBFHxGmnnVZYCGzahVEaiAABAgQIECBAgAABAgQIECBAgEBHAnJyHTFp1GMBhZQeAxu+c4HhzkhJI51yyilx1FFHpW/SxbXXXhuve93rlrjBWWedFe9+97tbf++SSy6JKVOmdD6BYVratAujNBABAgQIECBAgAABAgQIECBAgACBjgTk5Dpi0qjHAgopPQY2fOcCnRRS5s2bF5MmTYpp06bFeuut13rjJBVL0ue+zjnnnFaR5Zlnnon99tsvLrzwws5v3kFLm3YHSJoQIECAAAECBAgQIECAAAECBAgQKFBATq5ATEN1LaCQ0jWdjkULdFJISfecPn16TJ48ufW/6Ro3blyrkDJnzpzWX2+//fatz36tttpqhU7Rpl0op8EIECBAgAABAgQIECBAgAABAgQIDCsgJzcskQZ9EFBI6QOyW3Qm0GkhJY02a9as+PKXvxw//vGP47777otRo0bFxIkT4z3veU8cc8wxMXbs2M5umqGVTTsDlqYECBAgQIAAAQIECBAgQIAAAQIEChCQkysA0RC5BRRSchMaoCkCNu2mRNo6CRAgQIAAAQIECBAgQIAAAQIEyiIgJ1eWSDR7HgopzY6/1WcQsGlnwNKUAAECBAgQIECAAAECBAgQIECAQAECcnIFIBoit4BCSm5CAzRFwKbdlEhbJwECBAgQIECAAAECBAgQIECAQFkE5OTKEolmz0Mhpdnxt/oMAjbtDFiaEiBAgAABAgQIECBAgAABAgQIEChAQE6uAERD5BZQSMlNaICmCNi0mxJp6yRAgAABAgQIECBAgAABAgQIECiLgJxcWSLR7HkopDQ7/lafQcCmnQFLUwIECBAgQIAAAQIECBAgQIAAAQIFCMjJFYBoiNwCCim5CQ3QFAGbdlMibZ0ECBAgQIAAAQIECBAgQIAAAQJlEZCTK0skmj0PhZRmx9/qMwjYtDNgaUqAAAECBAgQIECAAAECBAgQIECgAAE5uQIQDZFbQCElN6EBmiJg025KpK2TAAECBAgQIECAAAECBAgQIECgLAJycmWJRLPnoZDS7PhbfQYBm3YGLE0JECBAgAABAgQIECBAgAABAgQIFCAgJ1cAoiFyCyik5CY0QFMEbNpNibR1EiBAgAABAgQIECBAgAABAgQIlEVATq4skWj2PBRSmh1/q88gYNPOgKUpAQIECBAgQIAAAQIECBAgQIAAgQIE5OQKQDREbgGFlNyEBmiKgE27KZG2TgIECBAgQIAAAQIECBAgQIAAgbIIyMmVJRLNnodCSrPjb/UZBGzaGbA0JUCAAAECBAgQIECAAAECBAgQIFCAgJxcAYiGyC2gkJKb0ABNEbBpNyXS1kmAAAECBAgQIECAAAECBAgQIFAWATm5skSi2fNQSGl2/K0+g4BNOwOWpgQIECBAgAABAgQIECBAgAABAgQKEJCTKwDRELkFFFJyExqgKQI27aZE2joJECBAgAABAgQIECBAgAABAgTKIiAnV5ZINHseCinNjr/VZxCwaWfA0pQAAQIECBAgQIAAAQIECBAgQIBAAQJycgUgGiK3gEJKbkIDNEXApt2USFsnAQIECBAgQIAAAQIECBAgQIBAWQTk5MoSiWbPQyGl2fG3+gwCNu0MWJoSIECAAAECBAgQIECAAAECBAgQKEBATq4AREPkFlBIyU1ogKYI2LSbEmnrJECAAAECBAgQIECAAAECBAgQKIuAnFxZItHseSikNDv+Vp9BwKadAUtTAgQIECBAgAABAgQIECBAgAABAgUIyMkVgGiI3AIKKbkJDdAUAZt2UyJtnQQIECBAgAABAgQIECBAgAABAmURkJMrSySaPQ+FlGbH3+ozCNi0M2BpSoAAAQIECBAgQIAAAQIECBAgQKAAATm5AhANkVtAISU3oQGaImDTbkqkrZMAAQIECBAgQIAAAQIECBAgQKAsAnJyZYlEs+ehkNLs+Ft9BgGbdgYsTQkQIECAAAECBAgQIECAAAECBAgUICAnVwCiIXILKKTkJjRAUwRs2k2JtHUSIECAAAECBAgQIECAAAECBAiURUBOriyRaPY8FFKaHX+rzyBg086ApSkBAgQIECBAgAABAgQIECBAgACBAgTk5ApANERuAYWU3IQGaIqATbspkbZOAgQIECBAgAABAgQIECBAgACBsgjIyZUlEs2eh0JKs+Nv9RkEbNoZsDQlQIAAAQIECBAgQIAAAQIECBAgUICAnFwBiIbILaCQkpvQAE0RsGk3JdLWSYAAAQIECBAgQIAAAQIECBAgUBYBObmyRKLZ81BIaXb8rT6DgE07A5amBAgQIECAAAECBAgQIECAAAECBAoQkJMrANEQuQUUUnITGqApAjbtpkTaOgkQIECAAAECBAgQIECAAAECBMoiICdXlkg0ex4KKc2Ov9VnELBpZ8DSlAABAgQIECBAgAABAgQIECBAgEABAnJyBSAaIreAQkpuQgM0RcCm3ZRIWycBAgQIECBAgAABAgQIECBAgEBZBOTkyhKJZs9DIaXZ8bf6DAI27QxYmhIgQIAAAQIECBAgQIAAAQIECBAoQEBOrgBEQ+QWUEjJTWiApgjYtJsSaeskQIAAAQIECBAgQIAAAQIECBAoi4CcXFki0ex5KKQ0O/5Wn0HApp0BS1MCBAgQIECAAAECBAgQIECAAAECBQjIyRWAaIjcAgopuQkN0BQBm3ZTIm2dBAgQIECAAAECBAgQIECAAAECZRGQkytLJJo9D4WUZsff6jMI2LQzYGlKgAABAgQIECBAgAABAgQIECBAoAABObkCEA2RW0AhJTehAZoiYNNuSqStkwABAgQIECBAgAABAgQIECBAoCwCcnJliUSz56GQ0uz4W30GAZt2BixNCRAgQIAAAQIECBAgQIAAAQIECBQgICdXAKIhcgsopOQmNEBTBGzaTYm0dRIgQIAAAQIECBAgQIAAAQIECJRFQE6uLJFo9jwUUpodf6vPIGDTzoClKQECBAgQIECAAAECBAgQIECAAIECBOTkCkA0RG4BhZTchAZoioBNuymRtk4CBAgQIECAAAECBAgQIECAAIGyCMjJlSUSzZ6HQkqz42/1GQRs2hmwNCVAgAABAgQIECBAgAABAgQIECBQgICcXAGIhsgtoJCSm9AATRGwaTcl0tZJgAABAgQIECBAgAABAgQIECBQFgE5ubJEotnzUEhpdvytPoOATTsDlqYECBAgQIAAAQIECBAgQIAAAQIEChCQkysA0RC5BRRSchMaoCkCNu2mRNo6CRAgQIAAAQIECBAgQIAAAQIEyiIgJ1eWSDR7HgopzY6/1WcQsGlnwNKUAAECBAgQIECAAAECBAgQIECAQAECcnIFIBoit4BCSm5CAzRFwKbdlEhbJwECBAgQIECAAAECBAgQIECAQFkE5OTKEolmz0Mhpdnxt/oMAjbtDFiaEiBAgAABAgQIECBAgAABAgQIEChAQE6uAERD5BZQSMlNaICmCNi0mxJp6yRAgAABAgQIECBAgAABAgQIECiLgJxcWSLR7HkopDQ7/lafQcCmnQFLUwIECBAgQIAAAQIECBAgQIAAAQIFCMjJFYBoiNwCCim5CQ3QFAGbdlMibZ0ECBAgQIAAAQIECBAgQIAAAQJlEZCTK0skmj0PhZRmx9/qMwjYtDNgaUqAAAECBAgQIECAAAECBAgQIECgAAE5uQIQDZFbQCElN6EBmiJg025KpK2TAAECBAgQIECAAAECBAgQIECgLAJycmWJRLPnoZDS7PhbfQYBm3YGLE0JECBAgAABAgQIECBAgAABAgQIFCAgJ1cAoiFyCyik5CY0QFMEbNpNibR1EiBAgAABAgQIECBAgAABAgQIlEVATq4skWj2PBRSmh1/q88gYNPOgKUpAQIECBAgQIAAAQIECBAgQIAAgQIE5OQKQDREbgGFlNyEBmiKgE27KZG2TgIECBAgQIAAAQIECBAgQIAAgbIIyMmVJRLNnodCSrPjb/UZBGzaGbA0JUCAAAECBAgQIECAAAECBAgQIFCAgJxcAYiGyC2gkJKb0ABNEbBpNyXS1kmAAAECBAgQIECAAAECBAgQIFAWATm5skSi2fNQSGl2/K0+g4BNOwOWpgQIECBAgAABAgQIECBAgAABAgQKEJCTKwDRELkFFFJyExqgKQI27aZE2joJECBAgAABAgQIECBAgAABAgTKIiAnV5ZINHseCinNjr/VZxCwaWfA0pQAAQIECBAgQIAAAQIECBAgQIBAAQJycgUgGiK3gEJKbkIDNEXApt2USFsnAQIECBAgQIAAAQIECBAgQIBAWQTk5MoSiWbPQyGl2fG3+gwCNu0MWJoSIECAAAECBAgQIECAAAECBAgQKEBATq4AREPkFlBIyU1ogKYI2LSbEmnrJECAAAECBAgQIECAAAECBAgQKIuAnFxZItHseSikNDv+Vp9BwKadAUtTAgQIECBAgAABAgQIECBAgAABAgUIyMkVgGiI3AIKKbkJDdAUAZt2UyJtnQQIECBAgAABAgQIECBAgAABAmURkJMrSySaPQ+FlGbH3+ozCNi0M2BpSoAAAQIECBAgQIAAAQIECBAgQKAAATm5AhANkVtAISU3oQGaImDTbkqkrZMAAQIECBAgQIAAAQIECBAgQKAsAnJyZYlEs+ehkNLs+Ft9BgGbdgYsTQkQIECAAAECBAgQIECAAAECBAgUICAnVwCiIXILKKTkJjRAUwRs2k2JtHUSIECAAAECBAgQIECAAAECBAiURUBOriyRaPY8FFKaHX+rzyBg086ApSkBAgQIECBAgAABAgQIECBAgACBAgTk5ApANERuAYWU3IQGaIqATbspkbZOAgQIECBAgAABAgQIECBAgACBsgjIyZUlEs2eh0JKs+Nv9RkEbNoZsDQlQIAAAQIECBAgQIAAAQIECBAgUICAnFwBiIbILaCQkpvQAE0RsGk3JdLWSYAAAQIECBAgQIAAAQIECBAgUBYBObmyRKLZ81BIaXb8rT6DgE07A5amBAgQIECAAAECBAgQIECAAAECBAoQkJMrANEQuQUUUnITGqApAjbtpkTaOgkQIECAAAECBAgQIECAAAECBMoiICdXlkg0ex4KKc2Ov9VnELBpZ8DSlAABAgQIECBAgAABAgQIECBAgEABAnJyBSAaIreAQkpuQgM0RcCm3ZRIWycBAgQIECBAgAABAgQIECBAgEBZBOTkyhKJZs9DIaXZ8bf6DAI27QxYmhIgQIAAAQIECBAgQIAAAQIECBAoQEBOrgBEQ+QWUEjJTWiApgjYtJsSaeskQIAAAQIECBAgQIAAAQIECBAoi4CcXFki0ex5KKQ0O/5Wn0GgaZv2c3Mjrnkw4soHI2bOjhg9KmLCihGTN47YYd2IMaMz4GlKgAABAgQIECBAgAABAgQIECBAoAuBpuXkuiDSpQ8CCil9QHaLegg0adO+6O6I//xNxK1PDBy7N6wf8YnXR+y0Xj1iaxUECBAgQIAAAQIECBAgQIAAAQLlFGhSTq6cETCrJKCQ4jkg0KFAUzbts26N+KdLIhYsHBpmxTER3zogYteNOgTUjAABAgQIECBAgAABAgQIECBAgEBGgabk5DKyaN5nAYWUPoO7XXUFmrBpX/1gxHt/EjF/mCLyYrtvAAAgAElEQVTKoiiuvkLE2e+I2Hz16sbVzAkQIECAAAECBAgQIECAAAECBMor0IScXHn1zWyRgEKKZ4FAhwJN2LSnXhyR3kjJcv3TGyKO3jFLD20JECBAgAABAgQIECBAgAABAgQIdCbQhJxcZxJajaSAQspI6rt3pQTqvmnf/kTE/j/o/G2URcHbYOWI8w+JWHWFSoXTZAkQIECAAAECBAgQIECAAAECBCogUPecXAVCYIrOSPEMEOhcoO6b9lm3REy9pHOPxVv+79sidt6gu756ESBAgAABAgQIECBAgAABAgQIEBhMoO45OZGvhoA3UqoRJ7MsgUDdN+1Tb4r47OXdQX/3wIgpm3TXVy8CBAgQIECAAAECBAgQIECAAAECCimegTILKKSUOTrmViqBuhdSzrw54p8v7Y78jIMj3rhhd331IkCAAAECBAgQIECAAAECBAgQIKCQ4hkos4BCSpmjY26lEqh7IeX6hyPefnZ28pXGRFx8eMS6K2fvqwcBAgQIECBAgAABAgQIECBAgACBoQTqnpMT/WoIKKRUI05mWQKBum/a8xdEfOC8iF9Nz4b94ddG/PMbs/XRmgABAgQIECBAgAABAgQIECBAgEAnAnXPyXVioM3ICyikjHwMzKAiAk3YtM+7I+KjP+88IKOXifjROyMmrdN5Hy0JECBAgAABAgQIECBAgAABAgQIdCrQhJxcpxbajZyAQsrI2btzxQSasGnPWxBx4jURJ93QWXCOnxJxyDadtdWKAAECBAgQIECAAAECBAgQIECAQFaBJuTksppo338BhZT+m7tjRQWasmnPmRfx3T9EfOXaiBcXDBys8WMj/u8eEQe9MmKZZSoaUNMmQIAAAQIECBAgQIAAAQIECBAovUBTcnKlD0TDJ6iQ0vAHwPI7F2japn3PnyMuuS/ip7dHPPBMxKhlIrZ6RcRbt4yYvHHEOuM7t9OSAAECBAgQIECAAAECBAgQIECAQDcCTcvJdWOkT+8FFFJ6b+wONRFo6qadDqGf/WL7zZMVx3gDpSaPs2UQIECAAAECBAgQIECAAAECBCoh0NScXCWC06BJKqQ0KNiWmk/App3PT28CBAgQIECAAAECBAgQIECAAAECWQXk5LKKad8LAYWUXqgas5YCNu1ahtWiCBAgQIAAAQIECBAgQIAAAQIESiwgJ1fi4DRoagopDQq2peYTsGnn89ObAAECBAgQIECAAAECBAgQIECAQFYBObmsYtr3QkAhpReqxqylgE27lmG1KAIECBAgQIAAAQIECBAgQIAAgRILyMmVODgNmppCSoOCban5BGza+fz0JkCAAAECBAgQIECAAAECBAgQIJBVQE4uq5j2vRBQSOmFqjFrKWDTrmVYLYoAAQIECBAgQIAAAQIECBAgQKDEAnJyJQ5Og6amkNKgYFtqPgGbdj4/vQkQIECAAAECBAgQIECAAAECBAhkFZCTyyqmfS8EFFJ6oWrMWgrYtGsZVosiQIAAAQIECBAgQIAAAQIECBAosYCcXImD06CpKaQ0KNiWmk/App3PT28CBAgQIECAAAECBAgQIECAAAECWQXk5LKKad8LAYWUXqgas5YCNu1ahtWiCBAgQIAAAQIECBAgQIAAAQIESiwgJ1fi4DRoagopDQq2peYTsGnn89ObAAECBAgQIECAAAECBAgQIECAQFYBObmsYtr3QkAhpReqxqylgE27lmG1KAIECBAgQIAAAQIECBAgQIAAgRILyMmVODgNmppCSoOCban5BGza+fz0JkCAAAECBAgQIECAAAECBAgQIJBVQE4uq5j2vRBQSOmFqjFrKWDTrmVYLYoAAQIECBAgQIAAAQIECBAgQKDEAnJyJQ5Og6amkNKgYFtqPgGbdj4/vQkQIECAAAECBAgQIECAAAECBAhkFZCTyyqmfS8EFFJ6oWrMWgrYtGsZVosiQIAAAQIECBAgQIAAAQIECBAosYCcXImD06CpKaQ0KNiWmk/App3PT28CBAgQIECAAAECBAgQIECAAAECWQXk5LKKad8LAYWUXqgas5YCNu1ahtWiCBAgQIAAAQIECBAgQIAAAQIESiwgJ1fi4DRoagopDQq2peYTsGnn89ObAAECBAgQIECAAAECBAgQIECAQFYBObmsYtr3QkAhpReqxqylgE27lmG1KAIECBAgQIAAAQIECBAgQIAAgRILyMmVODgNmppCSoOCban5BGza+fz0JkCAAAECBAgQIECAAAECBAgQIJBVQE4uq5j2vRBQSOmFqjFrKWDTrmVYLYoAAQIECBAgQIAAAQIECBAgQKDEAnJyJQ5Og6amkNKgYFtqPgGbdj4/vQkQIECAAAECBAgQIECAAAECBAhkFZCTyyqmfS8EFFJ6oWrMWgrYtGsZVosiQIAAAQIECBAgQIAAAQIECBAosYCcXImD06CpKaQ0KNiWmk/App3PT28CBAgQIECAAAECBAgQIECAAAECWQXk5LKKad8LAYWUXqgas5YCNu1ahtWiCBAgQIAAAQIECBAgQIAAAQIESiwgJ1fi4DRoagopDQq2peYTsGnn89ObAAECBAgQIECAAAECBAgQIECAQFYBObmsYtr3QkAhpReqxqylgE27lmG1KAIECBAgQIAAAQIECBAgQIAAgRILyMmVODgNmppCSoOCban5BGza+fz0JkCAAAECBAgQIECAAAECBAgQIJBVQE4uq5j2vRBQSOmFqjFrKWDTrmVYLYoAAQIECBAgQIAAAQIECBAgQKDEAnJyJQ5Og6amkNKgYFtqPgGbdj4/vQkQIECAAAECBAgQIECAAAECBAhkFZCTyyqmfS8EFFJ6oWrMWgrYtGsZVosiQIAAAQIECBAgQIAAAQIECBAosYCcXImD06CpKaQ0KNiWmk/App3PT28CBAgQIECAAAECBAgQIECAAAECWQXk5LKKad8LAYWUXqgas5YCNu1ahtWiCBAgQIAAAQIECBAgQIAAAQIESiwgJ1fi4DRoagopDQq2peYTsGnn89ObAAECBAgQIECAAAECBAgQIECAQFYBObmsYtr3QkAhpReqxqylgE27lmG1KAIECBAgQIAAAQIECBAgQIAAgRILyMmVODgNmppCSoOCban5BBZt2vlG0ZsAAQIECBAgQIAAAQIECBAgQIAAgawCCxcuzNpFewKFCSikFEZpoLoLKKTUPcLWR4AAAQIECBAgQIAAAQIECBAgUFYBhZSyRqYZ81JIaUacrZIAgUEEvB7q0SDQXAE//82NvZUT8PPvGSDQXAE//82NvZUT8PPvGSBAII+AQkoePX0JEKi8gH+RqnwILYBA1wJ+/rum05FA5QX8/Fc+hBZAoGsBP/9d0+lIoPICfv4rH0ILIDCiAgopI8rv5gQIjLSAf5Ea6Qi4P4GRE/DzP3L27kxgpAX8/I90BNyfwMgJ+PkfOXt3JjDSAn7+RzoC7k+g2gIKKdWOn9kTIJBTwL9I5QTUnUCFBfz8Vzh4pk4gp4Cf/5yAuhOosICf/woHz9QJ5BTw858TUHcCDRdQSGn4A2D5BJou4F+kmv4EWH+TBfz8Nzn61t50AT//TX8CrL/JAn7+mxx9a2+6gJ//pj8B1k8gn4BCSj4/vQkQqLiAf5GqeABNn0AOAT//OfB0JVBxAT//FQ+g6RPIIeDnPweergQqLuDnv+IBNH0CIyygkDLCAXB7AgRGVsC/SI2sv7sTGEkBP/8jqe/eBEZWwM//yPq7O4GRFPDzP5L67k1gZAX8/I+sv7sTqLqAQkrVI2j+BAjkEvAvUrn4dCZQaQE//5UOn8kTyCXg5z8Xn84EKi3g57/S4TN5ArkE/Pzn4tOZQOMFFFIa/wgAIECAAAECBAgQIECAAAECBAgQIECAAAECBAYTUEjxbBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEBhFQSPFoECBAgAABAgQIECBAgAABAgQIECBAgAABAgQUUjwDBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFsAt5IyealNQECBAgQIECAAAECBAgQIECAAAECBAgQINAgAYWUBgXbUgkQIECAAAECBAgQIECAAAECBAgQIECAAIFsAgop2by0JkCAAAECBAgQIECAAAECBAgQIECAAAECBBokoJDSoGBbKgECBAgQIECAAAECBAgQIECAAAECBAgQIJBNQCElm5fWBAgQIECAAAECBAgQIECAAAECBAgQIECAQIMEFFIaFGxLJUCgLXDqqafGkUceOSzHxRdfHHvttdeg7e6555444YQT4pe//GXMmDEjxo8fH5MmTYoPfehD8fa3v33Y8TUgQGBkBGbNmhUnnnhinHPOOXHffffF6NGjY+LEiXHIIYfEMcccE2PHjh2ZibkrAQJdCxTxz3b/XO+aX0cCPRWYPXt2XHHFFXHDDTfEjTfe2PrfBx54oHXPz372s3HssccOe/9HH3209e/t559/fqvvCiusEFtvvXW8733viw984AOxzDLLDDmG/WFYYg0I9EQgz89/2huOO+64Yed11113xeabbz5ou7TvfOUrX4nLL788Hn/88Vh99dXj9a9/feu/G/bcc89hx9eAAIH6CCik1CeWVkKAQIcCi5Ito0aNijXXXHPQXmeffXbsuuuuA/75hRdeGO985zsj/YtdulZeeeV49tlnY8GCBa2/ToWaU045Zdj/KOtwypoRIFCQwP333x977LFHTJ8+vTXiuHHjYv78+fHCCy+0/nr77bePSy+9NFZbbbWC7mgYAgT6IZD3n+3+ud6PKLkHge4EUvJy8uTJA3bupJCSCi/77LNPzJw5szXGSiutFHPmzIl58+a1/jr92c9+9rNBf5HC/tBd3PQiUIRAnp//RYWUMWPGtIofg13XXXddbLzxxgP+8Xe+85348Ic//Nf9YpVVVolnnnkmFi5c2GrfyR5UhIMxCBAoh4BCSjniYBYECPRRYFGyZaONNvprMjXL7dNvsG+77bbx3HPPxS677BLf/e53W7/NngopX/rSl+Jzn/tca7jjjz8+PvnJT2YZWlsCBHookBIm6a2xadOmxTrrrBOnn356662zVABNhdMPfvCDkd5W2X///eOCCy7o4UwMTYBA0QJ5/tnun+tFR8N4BIoVSInUt73tba1/hi/6v0984hPxyCOPDJvEfPrpp+OVr3xlq2363+9973uxww47xNy5c+Pb3/52pHFefPHFVqL0pJNOWmri9odiY2k0AlkF8vz8Lyqk7L777q23SbJe1157besXK9MvXR100EHxjW98I9Zff/1WUfbTn/50fOtb32oN+cMf/jDe9a53ZR1eewIEKiigkFLBoJkyAQL5BPIkW9Kd3/ve98b3v//9mDBhQtx2222x6qqrLjGhv/3bv43/+Z//ab2lkn7r3W+254uX3gSKEkhviR111FGt4a655prYeeedlxj6zDPPjEMPPbT19y655JKYMmVKUbc2DgECPRbI8892/1zvcXAMTyCnQEpips9wLn6l3x5Pb5kO99vgn/nMZ+Lzn/9861Net9xyS2yyySZLjPOFL3whPvWpT7XGv/XWW1u/HLX4ZX/IGTzdCeQUyPPzn7eQkoooV111VeuXKNObbenNlsWvfffdN37xi1+03ma5++67l9qnci5ddwIESiigkFLCoJgSAQK9FciTbElvoaTPgT3//POt763+27/921KTTcWTRf+Rlt5W6eQ8lt6u2OgECCSB3XbbLa688srW50Euu+yypVDSK/qbbbZZ69yUI444Ik477TRwBAhURKDbf7b753pFAmyaBF4m0GkhJb2Bns5ESf8+nv69/OVXeqM8vaWa/jf9e/3i5ynYHzx2BMop0OnPf55Cyr333tv674J0pf8mSP9t8PIrnd2UPhmcrvTfFoN9grCcimZFgEA3Agop3ajpQ4BApQW6TbakRaffOEm/eZKu3/72t7HjjjsOaLHVVlu13lZJh1en33J3ESAwsgLpPKPx48e3PuOVDpudOnXqgBM6+uij4+STT269cTZjxoyRnbS7EyDQsUC3/2z3z/WOiTUkUCqBThKpd9xxR+tzXuk666yz/n979wJsVVX/AXwhD1EyxChq0NDioQk0YGDCNGgqoaaUj16ahpWBhTGlga/MyvJVQ03J9BxoRLNMURQjqkEzHEUYxVIEA1QGAQnStFRM/vPb879nuHDvPWefy733nLs/a8aRe+9ee6/1Weecfc757r1Wtr5hUyWm9LznnnuyxaNjKp+G4vWhpoZcYwiUBCp5/sfGrQlSYtquyZMnZ8fctGlTetvb3rbbCMTdMjH7REwNPGPGjBR3uCkECHRuAUFK5x5fvSNAoAmBhi9bYpHp+HAVH7LiTVBcjTZmzJhs6p+GK0t2rf69730vXXjhhdmv44vZmCagqRJzpMaaC3Eb8IoVK4wDAQIdLBC348ec6FFi0dgTTjihyRbF/Ohf/OIXs7/F/MctLUzZwV1yeAIEdhKo9tzuvO5hRKA+BSr5IvV3v/tdOv3007MOxrRdhx12WJOdjTUNY53DmJY31lRpKF4f6vOxodWdX6CS538oNAQpffv2Tf369Utxl8lee+2V+vfvn92pHhdQjRgxokmwqVOnph/96EdZgBJBSnNl9OjRaenSpenkk09Od955Z+fH10MCBRcQpBT8AaD7BIoo0PBlS0Pf4yqSuHU/Fp1sKHH7f6xz0q1bt0ZEX/3qV9P3v//97MqTrVu3NssXC1fOnDkzveUtb0lbtmwpIrM+E6gpgfnz56dTTjkla9Ojjz6ahg8f3mT77rjjjmwxySixKP3QoUNrqh8aQ4BA0wLVntud1z2iCNSnQCVfpMbC0BdccEHWwQhIIihpqvzgBz9I06ZNy/4UV5a/6U1vyv7t9aE+Hxta3fkFKnn+h0JDkBL/jgAl1jZ98cUX0+uvv54hdenSJVsjKdZR2rWcdtpp6bbbbsuCluXLlzeL+tGPfjTNmzcvHXHEEenhhx/u/Ph6SKDgAoKUgj8AdJ9AEQX+8Ic/ZAtNn3rqqWnIkCFp7733zu5IefDBB7MFK2OR6Shf+tKXUnwA27mcd9556Wc/+1l2Fcv69eub5bv00kvTd77zndSjR4/06quvFpFZnwnUlMBNN92UzjzzzKxNq1evTgMHDmyyfYsWLUrjx4/P/tbUgvQ11SmNIUCgJFDtud153YOIQH0KVPJFarwXj/fkUbZv377bBVINPY/39vFaEGXDhg3ZXepRvD7U52NDqzu/QCXP/1CYO3du9pyeOHFitoZpLBYfF08uXrw4C1DijvUo119/fRac7lzi80B8Lhg7dmy24HxzJT5fxOeMwYMHZzNdKAQIdG4BQUrnHl+9I9ApBHa9yjRvp2LO44Z1TcrVjfUTImCJq9LjqpWVK1emQYMGlar5QFVO0N8J1KaAIKU2x0WrCLSHQEvnduf19hgBxyCw5wUq+SJVkLLn3e2RQC0IVPL8L9fOV155JZveK6blirvQ4iLJ3r17l6oJUsoJ+juBYgoIUoo57npNoK4E2jNICZinnnqqFJ7E3Mhf+cpXSl5u8a+rh47GEigJmNrLg4FAsQWaO7c7rxf7caH39StQyReppvaq3/HVcgItCVTy/K9EMGaiOP7447NNY02luKCyoZjaqxJB2xAonoAgpXhjrscE6k4gpsaK+YqrLXFlSdzGm6e89a1vzdY2iUWnY5G5hmLRyTyKtiVQOwIWm6+dsdASAh0l0NS53Xm9o0bDcQm0TqCSL1ItNt86Y7UJ1KpAJc//Stoe66Q2rIl03XXXpQsvvLBUzWLzlQjahkDxBAQpxRtzPSZAoAKB5oKUhQsXlqYJe+ihh9KoUaOa3Nt73vOe9MQTT6RPfOIT6eabb67giDYhQKAtBf7zn/+k/fbbL8UUP9dee2266KKLmjzc+eefn2bNmpXe/va3p+eee64tm2TfBAi0s0BT53bn9XYeBIcjsIcEKvkiNdYrOPTQQ7Mj/uY3v0lnnHFGk0c/8cQTU0wF/P73vz898MADpW28PuyhwbIbAntYoJLnfyWHbClI+clPfpImT56c7Wbz5s0p3kPsWmKd1T59+mQXfc6YMSN997vfreSwtiFAoI4FBCl1PHiaToBA2wj84x//KC1EvevCc/FmK95E/fe//03f/OY30+WXX75bI55++ukUb+6i/PKXv0yTJk1qm4baKwECuQRiHuS//OUv6YMf/GD605/+tFvdHTt2ZM/9NWvWpLPPPjvNmTMn1/5tTIBA7Qo0d253Xq/dMdMyAi0JVPJFapzXY7tnnnkmnXvuuekXv/jFbruM14C4eOKll15KX//619OVV15Z2sbrg8cggdoUqOT5X0nL4/PAcccdl2166623ppjOq6HE54F3v/vd2Y+/+tWv0qc//enddnnfffelcePGZb//85//nI455phKDmsbAgTqWECQUseDp+kECOQXiA9UXbp0abZi/D3eQN1+++3ZYvOPP/54GjJkSKPt403UjTfemN7xjndkd53svChdbNhwRXtc/R6hSlylohAg0PEC8QXK5z73uew1IK44PfLIIxs1Kq5W/fjHP579LuZMPvbYYzu+0VpAgEBZgdae253XyxLbgEDNCVT6RWpc9PTtb3877bvvvunvf/976WKnhg7FXarTp09PXbt2zd73Dx482Pv+mhttDSLQWKCS53+59wYxfXiEIA8++GDq1atXttj8/vvv3+hAH/jAB9L999+f3vve92aL0u86XXjD3WwDBgxIccFGvI4oBAh0bgFBSuceX70jQGAXgXXr1qWPfexj6bOf/Wy2sNwhhxySfaka0/3EVF3f+MY3UtzGH2XKlCnphhtu2M1w7dq1adiwYSmuUos3V/Hl7KBBg7KfY6712Ee8cbvmmmvS1772NWNAgECNCLz++utp5MiR6bHHHkv9+/fP7jiJsCSe/zGPeoQsL774YjrhhBPSggULaqTVmkGAQDmB1p7bndfLCfs7gY4X2LZtW4ppdBpKnM+fffbZbKrOnd9v9+zZs7TmQWz7wgsvZNN7bdy4McXUu3Fl+RFHHJFee+217D38tGnTsn9739/xY6wFBJoTqOb5f++996Zvfetb6ZxzzsnuFDnwwAOz3W/fvj3FnSQXX3xxFo5Eae5z+5IlS1Lc0R6vPbEQ/Q9/+MPsM8TWrVvTZZddlk0HHOWWW27JvmNQCBDo/AKClM4/xnpIgMBOAvFlS4QnDWXvvffO1k2IeU3jqpSGEtNx/fSnP03dunVr0i++ZI15lmPdhShxV0pMCdDwAS/qx4ezlu5+MTAECLS/QLwGxIep+H+UuEI1gpRXXnkl+3nEiBHZtF/uJGv/sXFEAtUK7Ilzu/N6tfrqEWgfgYYr0MsdLb40nT17dqPNli1blj70oQ+lf/7zn9nv471/nPfjC9Uo48ePT3feeWeKzwVNFa8P5dT9nUDbClTz/F+8eHGjqbb22Wef7M6TCFcbnvsxA0WsbXLVVVc124Gf//znWdAaF2RFibtWYh9x4WSUK664IruQUiFAoBgCgpRijLNeEiDw/wKxtkkEHDGtzyOPPJKef/75FFe4xNVrcZXKmDFjsjmUx44dW9Ysbt+Nq1cWLVqULUodH8riS9gvfOELjeZXLbsjGxAg0K4CEZzG+ke33XZbiivR40NUTOXxyU9+Mk2dOjX16NGjXdvjYAQItE5gT53bnddbNw5qE2hLgWq+SN25PZs2bcret991113ZnSzx3n/o0KHZ1erx3j/eC7RUvD605ejaN4GWBap5/kdwGqFqfO6Pu9G3bNmS3XkeF1HFhZUxs8R5552XzTRRrixfvjybeSLuconvD+KCq6OOOir73BBrLyoECBRHQJBSnLHWUwIECBAgQIAAAQIECBAgQIAAAQIECBAgQCCngCAlJ5jNCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAgeIICFKKM9Z6SoAAAQIECBAgQIAAAQIECBAgQIAAAQIECOQUEKTkBLM5AQIECBAgQIAAAQIECBAgQIAAAQIECBAgUBwBQUpxxlpPCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAgZwCgpScYDYnQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEiiMgSCnOWOspAQIECBAgQIAAAQIECBAgQIAAAQIECBAgkFNAkJITzOYECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAcQQEKcUZaz0lQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEcgoIUnKC2ZwAAQIECBAgQIAAAQIECBAgQIAAAQIECBAojoAgpThjracECBAgQIAAAQIECBAgQIAAAQIECBAgQIBATgFBSk4wmxMgQIAAAQIECBAgQIAAAQIECBAgQIAAAQLFERCkFGes9ZQAAQIECBAgQIAAAQIECBAgQIAAAQIECBDIKSBIyQlmcwIECBAgQIAAAQIECBAgQIAAAQIECBAgQKA4AoKU4oy1nhIgQIAAAQIECBAgQIAAAQIECBAgQIAAAQI5BQQpOcFsToAAAQIECBAgQIAAAQIECBAgQIAAAQIECBRHQJBSnLHWUwIECBAgQIAAAQIECBAgQIAAAQIECBAgQCCngCAlJ5jNCRAgQIAAAQIECBAoL/CZz3wmzZkzp9kNu3fvnnr37p0OOuigNHr06HTaaael4447LnXp0qX8znfZYu3aten3v/99WrRoUVq1alV6/vnn07Zt21KvXr3SAQcckA4//PB05JFHplNOOSUNGzYs9/7LVVizZk16+OGH09KlS7P/L1u2LP373/8uVYv2HXzwweV24+8ECBAgQIAAAQIECNSogCClRgdGswgQIECAAAECBAjUs0C5IKWpvo0cOTLNnTs3HXrooRV1/amnnkpXXHFF+vWvf53eeOONiuqMGDEiXXbZZenUU0+taPuWNrr77rvT2WefnbZu3drivn315EMAABDsSURBVAQpraa2AwIECBAgQIAAAQIdKiBI6VB+BydAgAABAgQIECDQOQV2DlJ69uyZxo0b16ijr732Wlq/fn1avXp1o9/vv//+acmSJemwww5rEeamm25K5557bnr11VcbbffmN785vfOd70x9+/ZNL7/8ctq0aVN69tln044dOxptN2XKlHTDDTe0Cn/27Nlp0qRJZfchSClLZAMCBAgQIECAAAECNS0gSKnp4dE4AgQIECBAgAABAvUpsHOQMmDAgLRu3bomOxJByrRp09KCBQtKfx8+fHh65JFHmp3m6/rrr08XXXRRafu99tornXXWWenzn/98Ouqoo1LXrl0bHWvjxo3prrvuSj/+8Y+z/UaZOHFimjdvXqtwdw5SDjnkkPS+970v+y/K9OnTS/sWpLSKWWUCBAgQIECAAAECHS4gSOnwIdAAAgQIECBAgAABAp1PoNIgJXoe03KdeOKJaeHChSWIO+64I1vTZNcS66BMmDChNJVXv3790vz589OoUaPKIsZdKbfcckuaOnVqGjt2bKuDlCeffDILiOLYsRZLQ1m8eHE65phjBCllR8QGBAgQIECAAAECBOpDQJBSH+OklQQIECBAgAABAgTqSiBPkBId+9vf/tZoIfjJkyenWbNmNerzv/71rzRkyJC0efPm7Pd9+vRJDz30UBo4cGAum2eeeSbNmTMnXX755bnqVbqxIKVSKdsRIECAAAECBAgQqA8BQUp9jJNWEiBAgAABAgQIEKgrgbxBSnTuoIMOytZNiTJmzJj017/+tVGfr7766nTxxReXfnfjjTemM888s+ZcBCk1NyQaRIAAAQIECBAgQKBVAoKUVvGpTIAAAQIECBAgQIBAUwLVBCkRnjzwwAPZ7uLOk5UrV5Z2vX379hRrrTz33HPZ7w4//PDsLpZaLIKUWhwVbSJAgAABAgQIECBQvYAgpXo7NQkQIECAAAECBAgQaEagmiAlFmpftmxZtsdhw4alFStWlPa+ZMmSbF2ThjJz5sz05S9/uSb9BSk1OSwaRYAAAQIECBAgQKBqAUFK1XQqEiBAgAABAgQIECDQnEDeICUWnI8F21944YVsl8cee2z64x//WNr9Nddck2bMmFH6+bHHHktDhw6tyQEQpNTksGgUAQIECBAgQIAAgaoFBClV06lIgAABAgQIECBAgMCeClIWLFiQTjrppNLuLrnkknTVVVeVfj7jjDPSrbfemv3cq1evLHDp2rVrTQ6AIKUmh0WjCBAgQIAAAQIECFQtIEipmk5FAgQIECBAgAABAgT2RJCyadOmbHH5NWvWlHYXU3yNHDmy9PPRRx+d7r333uznQYMGpVWrVtUsviClZodGwwgQIECAAAECBAhUJSBIqYpNJQIECBAgQIAAAQIEWhIoN7VXLB6/fv36dM8992R3nmzYsKG0u9NPPz399re/bbT7WDOlYXH5WEtl6dKlNTsAgpSaHRoNI0CAAAECBAgQIFCVgCClKjaVCBAgQIAAAQIECBCoNEjJIxV3oUQQsd9++zWqNnjw4LR69ersd7Ho/P33359nt+26rSClXbkdjAABAgQIECBAgECbCwhS2pzYAQgQIECAAAECBAgUT2DnO1Iq6X0EJ1OmTElXXnll6tmz525VRo8eXboLJe5OWbFiRSW77ZBtBCkdwu6gBAgQIECAAAECBNpMQJDSZrR2TIAAAQIECBAgQKC4AjsHKRGMjBs3rhFG9+7dU+/evdOBBx6YIiQ5/vjjd7sLZecKEyZMSAsXLsx+1b9//2xasFotgpRaHRntIkCAAAECBAgQIFCdgCClOje1CBAgQIAAAQIECBBoQaDcGil58c4///w0a9asUrWtW7emPn365N1Nu2wvSGkXZgchQIAAAQIECBAg0G4CgpR2o3YgAgQIECBAgAABAsUR2NNBys0335w+9alPlQBjkfq4S6UWiyClFkdFmwgQIECAAAECBAhULyBIqd5OTQIECBAgQIAAAQIEmhHY00HKhg0bsmnAduzYkR3xnHPOSbNnz65Jf0FKTQ6LRhEgQIAAAQIECBCoWkCQUjWdigQIECBAgAABAgQINCewp4OUOM6HP/zhdPfdd2eH3GeffdLatWtTv379am4QBCk1NyQaRIAAAQIECBAgQKBVAoKUVvGpTIAAAQIECBAgQIBAUwJtEaTcd999jRat/8hHPpJuv/32qgZg9erVadCgQVXVLVdJkFJOyN8JECBAgAABAgQI1JeAIKW+xktrCRAgQIAAAQIECNSFQFsEKdHxs846K82dO7dkMH369HT11VdXbPK///0vXXLJJWnVqlVVhzDlDiZIKSfk7wQIECBAgAABAgTqS0CQUl/jpbUECBAgQIAAAQIE6kKgrYKUl156KY0aNSqtXLmy5BB3plx33XVp4MCBLdrMmzcvXXrppenxxx9PEydOTPFzWxRBSluo2icBAgQIECBAgACBjhMQpHScvSMTIECAAAECBAgQ6LQCbRWkBFgsPH/yySen5cuXl/y6d++ejj766DR+/Pj0rne9K/Xt2ze9/PLLaePGjWnp0qVp/vz5af369aXt91SQMmTIkPT00083Gsc33ngjbd++vfS7Hj16pC5dujTaZsCAAenJJ5/stOOvYwQIECBAgAABAgQ6k4AgpTONpr4QIECAAAECBAgQqBGBtgxSoosRklxwwQVpzpw5KabrylPijpaZM2emMWPG5KnW5LYHH3zwbkFKJTuNIGXdunWVbGobAgQIECBAgAABAgQ6WECQ0sED4PAECBAgQIAAAQIEOqNAWwcpDWZPPPFEuvbaa9OCBQvS5s2bm6Xcd99900knnZQmTZqUJkyYsNsdItWOgSClWjn1CBAgQIAAAQIECNSPgCClfsZKSwkQIECAAAECBAgQaEZgx44d6dFHH80Wkd+yZUvatm1b6tWrVzrggAPS0KFD0/Dhw1O3bt34ESBAgAABAgQIECBAILeAICU3mQoECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAUQQEKUUZaf0kQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEcgsIUnKTqUCAAAECBAgQIECAAAECBAgQIECAAAECBAgURUCQUpSR1k8CBAgQIECAAAECBAgQIECAAAECBAgQIEAgt4AgJTeZCgQIECBAgAABAgQIECBAgAABAgQIECBAgEBRBAQpRRlp/SRAgAABAgQIECBAgAABAgQIECBAgAABAgRyCwhScpOpQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBRFQJBSlJHWTwIECBAgQIAAAQIECBAgQIAAAQIECBAgQCC3gCAlN5kKBAgQIECAAAECBAgQIECAAAECBAgQIECAQFEEBClFGWn9JECAAAECBAgQIECAAAECBAgQIECAAAECBHILCFJyk6lAgAABAgQIECBAgAABAgQIECBAgAABAgQIFEVAkFKUkdZPAgQIECBAgAABAgQIECBAgAABAgQIECBAILeAICU3mQoECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAUQQEKUUZaf0kQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEcgsIUnKTqUCAAAECBAgQIECAAAECBAgQIECAAAECBAgURUCQUpSR1k8CBAgQIECAAAECBAgQIECAAAECBAgQIEAgt4AgJTeZCgQIECBAgAABAgQIECBAgAABAgQIECBAgEBRBAQpRRlp/SRAgAABAgQIECBAgAABAgQIECBAgAABAgRyCwhScpOpQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBRFQJBSlJHWTwIECBAgQIAAAQIECBAgQIAAAQIECBAgQCC3gCAlN5kKBAgQIECAAAECBAgQIECAAAECBAgQIECAQFEEBClFGWn9JECAAAECBAgQIECAAAECBAgQIECAAAECBHILCFJyk6lAgAABAgQIECBAgAABAgQIECBAgAABAgQIFEVAkFKUkdZPAgQIECBAgAABAgQIECBAgAABAgQIECBAILeAICU3mQoECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAUQQEKUUZaf0kQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEcgsIUnKTqUCAAAECBAgQIECAAAECBAgQIECAAAECBAgURUCQUpSR1k8CBAgQIECAAAECBAgQIECAAAECBAgQIEAgt4AgJTeZCgQIECBAgAABAgQIECBAgAABAgQIECBAgEBRBAQpRRlp/SRAgAABAgQIECBAgAABAgQIECBAgAABAgRyCwhScpOpQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBRFQJBSlJHWTwIECBAgQIAAAQIECBAgQIAAAQIECBAgQCC3gCAlN5kKBAgQIECAAAECBAgQIECAAAECBAgQIECAQFEEBClFGWn9JECAAAECBAgQIECAAAECBAgQIECAAAECBHILCFJyk6lAgAABAgQIECBAgAABAgQIECBAgAABAgQIFEVAkFKUkdZPAgQIECBAgAABAgQIECBAgAABAgQIECBAILeAICU3mQoECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAUQQEKUUZaf0kQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEcgsIUnKTqUCAAAECBAgQIECAAAECBAgQIECAAAECBAgURUCQUpSR1k8CBAgQIECAAAECBAgQIECAAAECBAgQIEAgt4AgJTeZCgQIECBAgAABAgQIECBAgAABAgQIECBAgEBRBAQpRRlp/SRAgAABAgQIECBAgAABAgQIECBAgAABAgRyCwhScpOpQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBRFQJBSlJHWTwIECBAgQIAAAQIECBAgQIAAAQIECBAgQCC3gCAlN5kKBAgQIECAAAECBAgQIECAAAECBAgQIECAQFEEBClFGWn9JECAAAECBAgQIECAAAECBAgQIECAAAECBHILCFJyk6lAgAABAgQIECBAgAABAgQIECBAgAABAgQIFEVAkFKUkdZPAgQIECBAgAABAgQIECBAgAABAgQIECBAILeAICU3mQoECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAUQQEKUUZaf0kQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEcgsIUnKTqUCAAAECBAgQIECAAAECBAgQIECAAAECBAgURUCQUpSR1k8CBAgQIECAAAECBAgQIECAAAECBAgQIEAgt4AgJTeZCgQIECBAgAABAgQIECBAgAABAgQIECBAgEBRBAQpRRlp/SRAgAABAgQIECBAgAABAgQIECBAgAABAgRyCwhScpOpQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBRFQJBSlJHWTwIECBAgQIAAAQIECBAgQIAAAQIECBAgQCC3gCAlN5kKBAgQIECAAAECBAgQIECAAAECBAgQIECAQFEEBClFGWn9JECAAAECBAgQIECAAAECBAgQIECAAAECBHILCFJyk6lAgAABAgQIECBAgAABAgQIECBAgAABAgQIFEVAkFKUkdZPAgQIECBAgAABAgQIECBAgAABAgQIECBAILeAICU3mQoECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAUQQEKUUZaf0kQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEcguUgpTcNVUgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBREoEtB+qmbBAgQIECAAAECBAgQIECAAAECBAgQIECAAIHcAv8HSI3BVVaUjf0AAAAASUVORK5CYII=\" width=\"898.8889127013131\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'PC 2')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# visualization chemcial space using PCA\n",
    "%matplotlib notebook\n",
    "\n",
    "fig = plt.figure(figsize=(5, 4))\n",
    "\n",
    "pca = PCA(n_components=2)\n",
    "arr_embedded = pca.fit_transform(arr_descriptors)\n",
    "df[\"PC_1\"] = arr_embedded[:, 0]\n",
    "df[\"PC_2\"] = arr_embedded[:, 1]\n",
    "\n",
    "sns.scatterplot(data=df, x=\"PC_1\", y=\"PC_2\",\n",
    "                hue=\"BBB+/BBB-\",\n",
    "                palette=sns.color_palette([\"hotpink\", \"dodgerblue\"]),\n",
    "                linewidth=0.1,\n",
    "                )\n",
    "plt.xlabel(\"PC 1\", fontsize=14)\n",
    "plt.ylabel(\"PC 2\", fontsize=14)\n",
    "# plt.savefig(\"pca_projection_descriptors.png\", dpi=300)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}