19a_high_recall_model_building.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-08T01:47:19.597113Z",
     "start_time": "2023-08-08T01:47:16.917620Z"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from xgboost import XGBClassifier\n",
    "import pandas as pd\n",
    "from sklearn.metrics import accuracy_score, roc_auc_score, balanced_accuracy_score, precision_score, matthews_corrcoef, confusion_matrix, recall_score, precision_recall_curve, roc_curve, auc\n",
    "from sklearn.model_selection import StratifiedKFold\n",
    "from sklearn.preprocessing import OneHotEncoder, RobustScaler\n",
    "from sklearn.base import BaseEstimator\n",
    "import matplotlib.pyplot as plt\n",
    "import statistics\n",
    "import numpy as np\n",
    "import pickle\n",
    "import shap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "        recount3_score  antisense_exon_start_ss  antisense_exon_end_ss  \\\n0                59151                    False                  False   \n1                61021                    False                  False   \n2                   21                    False                  False   \n3                  526                    False                  False   \n4                    0                    False                  False   \n...                ...                      ...                    ...   \n484602               0                    False                  False   \n484603           31374                    False                  False   \n484604              67                    False                  False   \n484605           18958                    False                  False   \n484606               0                    False                  False   \n\n        nearest_alt_start_ss_dist  nearest_alt_end_ss_dist  \\\n0                             170                      362   \n1                              24                      232   \n2                              24                      246   \n3                             322                      232   \n4                             322                      232   \n...                           ...                      ...   \n484602                        487                       25   \n484603                        777                      464   \n484604                        572                     2963   \n484605                       1178                        2   \n484606                        232                       24   \n\n        MaxEntScan_start_ss  MaxEntScan_end_ss  CpG_island  intron_length  \\\n0                      9.09              11.90       False            385   \n1                      7.66               3.89       False            499   \n2                      7.15               7.61       False            277   \n3                      1.14               3.89       False            168   \n4                    -12.10               7.63       False             78   \n...                     ...                ...         ...            ...   \n484602               -19.72               3.66        True            909   \n484603                 9.21              13.74       False            415   \n484604                 8.56               2.38       False           2970   \n484605               -12.64               5.91       False           2358   \n484606                 7.66               3.89       False            498   \n\n        phyloP_score  ...  repeat_features_start_site_Satellite repeats  \\\n0            5.65175  ...                                             0   \n1            1.40575  ...                                             0   \n2            5.75650  ...                                             0   \n3            5.35750  ...                                             0   \n4            3.62350  ...                                             0   \n...              ...  ...                                           ...   \n484602       0.58700  ...                                             0   \n484603       2.74250  ...                                             0   \n484604      -0.89575  ...                                             0   \n484605       2.41200  ...                                             0   \n484606       2.04075  ...                                             0   \n\n        repeat_features_start_site_Type II Transposons  \\\n0                                                    0   \n1                                                    0   \n2                                                    0   \n3                                                    0   \n4                                                    0   \n...                                                ...   \n484602                                               0   \n484603                                               0   \n484604                                               0   \n484605                                               0   \n484606                                               0   \n\n        repeat_features_end_site_Tandem repeats  \\\n0                                             0   \n1                                             0   \n2                                             0   \n3                                             0   \n4                                             0   \n...                                         ...   \n484602                                        0   \n484603                                        0   \n484604                                        0   \n484605                                        0   \n484606                                        0   \n\n        repeat_features_end_site_LTRs  \\\n0                                   0   \n1                                   0   \n2                                   0   \n3                                   0   \n4                                   0   \n...                               ...   \n484602                              0   \n484603                              0   \n484604                              0   \n484605                              0   \n484606                              0   \n\n        repeat_features_end_site_Type I Transposons/SINE  \\\n0                                                      0   \n1                                                      0   \n2                                                      0   \n3                                                      0   \n4                                                      0   \n...                                                  ...   \n484602                                                 0   \n484603                                                 0   \n484604                                                 0   \n484605                                                 0   \n484606                                                 0   \n\n        repeat_features_end_site_Satellite repeats  \\\n0                                                0   \n1                                                0   \n2                                                0   \n3                                                0   \n4                                                0   \n...                                            ...   \n484602                                           0   \n484603                                           0   \n484604                                           0   \n484605                                           0   \n484606                                           0   \n\n        repeat_features_end_site_Type I Transposons/LINE  splice_site  \\\n0                                                      0        GT:AG   \n1                                                      0        GT:AG   \n2                                                      0        GT:AG   \n3                                                      0        GC:AG   \n4                                                      0        GT:AG   \n...                                                  ...          ...   \n484602                                                 0        GT:AG   \n484603                                                 0        GT:AG   \n484604                                                 0        GT:AG   \n484605                                                 0        GT:AG   \n484606                                                 0        GT:AG   \n\n        repeat_features_start_site_Type I Transposons/SINE  class  \n0                                                       0       1  \n1                                                       0       1  \n2                                                       0       1  \n3                                                       0       1  \n4                                                       0       1  \n...                                                   ...     ...  \n484602                                                  0       0  \n484603                                                  0       0  \n484604                                                  0       0  \n484605                                                  0       0  \n484606                                                  0       0  \n\n[484607 rows x 25 columns]",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>recount3_score</th>\n      <th>antisense_exon_start_ss</th>\n      <th>antisense_exon_end_ss</th>\n      <th>nearest_alt_start_ss_dist</th>\n      <th>nearest_alt_end_ss_dist</th>\n      <th>MaxEntScan_start_ss</th>\n      <th>MaxEntScan_end_ss</th>\n      <th>CpG_island</th>\n      <th>intron_length</th>\n      <th>phyloP_score</th>\n      <th>...</th>\n      <th>repeat_features_start_site_Satellite repeats</th>\n      <th>repeat_features_start_site_Type II Transposons</th>\n      <th>repeat_features_end_site_Tandem repeats</th>\n      <th>repeat_features_end_site_LTRs</th>\n      <th>repeat_features_end_site_Type I Transposons/SINE</th>\n      <th>repeat_features_end_site_Satellite repeats</th>\n      <th>repeat_features_end_site_Type I Transposons/LINE</th>\n      <th>splice_site</th>\n      <th>repeat_features_start_site_Type I Transposons/SINE</th>\n      <th>class</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>59151</td>\n      <td>False</td>\n      <td>False</td>\n      <td>170</td>\n      <td>362</td>\n      <td>9.09</td>\n      <td>11.90</td>\n      <td>False</td>\n      <td>385</td>\n      <td>5.65175</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>GT:AG</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>61021</td>\n      <td>False</td>\n      <td>False</td>\n      <td>24</td>\n      <td>232</td>\n      <td>7.66</td>\n      <td>3.89</td>\n      <td>False</td>\n      <td>499</td>\n      <td>1.40575</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>GT:AG</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>21</td>\n      <td>False</td>\n      <td>False</td>\n      <td>24</td>\n      <td>246</td>\n      <td>7.15</td>\n      <td>7.61</td>\n      <td>False</td>\n      <td>277</td>\n      <td>5.75650</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>GT:AG</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>526</td>\n      <td>False</td>\n      <td>False</td>\n      <td>322</td>\n      <td>232</td>\n      <td>1.14</td>\n      <td>3.89</td>\n      <td>False</td>\n      <td>168</td>\n      <td>5.35750</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>GC:AG</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>0</td>\n      <td>False</td>\n      <td>False</td>\n      <td>322</td>\n      <td>232</td>\n      <td>-12.10</td>\n      <td>7.63</td>\n      <td>False</td>\n      <td>78</td>\n      <td>3.62350</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>GT:AG</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>484602</th>\n      <td>0</td>\n      <td>False</td>\n      <td>False</td>\n      <td>487</td>\n      <td>25</td>\n      <td>-19.72</td>\n      <td>3.66</td>\n      <td>True</td>\n      <td>909</td>\n      <td>0.58700</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>GT:AG</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>484603</th>\n      <td>31374</td>\n      <td>False</td>\n      <td>False</td>\n      <td>777</td>\n      <td>464</td>\n      <td>9.21</td>\n      <td>13.74</td>\n      <td>False</td>\n      <td>415</td>\n      <td>2.74250</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>GT:AG</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>484604</th>\n      <td>67</td>\n      <td>False</td>\n      <td>False</td>\n      <td>572</td>\n      <td>2963</td>\n      <td>8.56</td>\n      <td>2.38</td>\n      <td>False</td>\n      <td>2970</td>\n      <td>-0.89575</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>GT:AG</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>484605</th>\n      <td>18958</td>\n      <td>False</td>\n      <td>False</td>\n      <td>1178</td>\n      <td>2</td>\n      <td>-12.64</td>\n      <td>5.91</td>\n      <td>False</td>\n      <td>2358</td>\n      <td>2.41200</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>GT:AG</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>484606</th>\n      <td>0</td>\n      <td>False</td>\n      <td>False</td>\n      <td>232</td>\n      <td>24</td>\n      <td>7.66</td>\n      <td>3.89</td>\n      <td>False</td>\n      <td>498</td>\n      <td>2.04075</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>GT:AG</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>484607 rows × 25 columns</p>\n</div>"
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(\"data/17_selected_features_trainset.tsv\", sep=\"\\t\")\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.replace({True: 1, False: 0}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "        recount3_score  antisense_exon_start_ss  antisense_exon_end_ss  \\\n0                59151                        0                      0   \n1                61021                        0                      0   \n2                   21                        0                      0   \n3                  526                        0                      0   \n4                    0                        0                      0   \n...                ...                      ...                    ...   \n484602               0                        0                      0   \n484603           31374                        0                      0   \n484604              67                        0                      0   \n484605           18958                        0                      0   \n484606               0                        0                      0   \n\n        nearest_alt_start_ss_dist  nearest_alt_end_ss_dist  \\\n0                             170                      362   \n1                              24                      232   \n2                              24                      246   \n3                             322                      232   \n4                             322                      232   \n...                           ...                      ...   \n484602                        487                       25   \n484603                        777                      464   \n484604                        572                     2963   \n484605                       1178                        2   \n484606                        232                       24   \n\n        MaxEntScan_start_ss  MaxEntScan_end_ss  CpG_island  intron_length  \\\n0                      9.09              11.90           0            385   \n1                      7.66               3.89           0            499   \n2                      7.15               7.61           0            277   \n3                      1.14               3.89           0            168   \n4                    -12.10               7.63           0             78   \n...                     ...                ...         ...            ...   \n484602               -19.72               3.66           1            909   \n484603                 9.21              13.74           0            415   \n484604                 8.56               2.38           0           2970   \n484605               -12.64               5.91           0           2358   \n484606                 7.66               3.89           0            498   \n\n        phyloP_score  ...  repeat_features_end_site_Tandem repeats  \\\n0            5.65175  ...                                        0   \n1            1.40575  ...                                        0   \n2            5.75650  ...                                        0   \n3            5.35750  ...                                        0   \n4            3.62350  ...                                        0   \n...              ...  ...                                      ...   \n484602       0.58700  ...                                        0   \n484603       2.74250  ...                                        0   \n484604      -0.89575  ...                                        0   \n484605       2.41200  ...                                        0   \n484606       2.04075  ...                                        0   \n\n        repeat_features_end_site_LTRs  \\\n0                                   0   \n1                                   0   \n2                                   0   \n3                                   0   \n4                                   0   \n...                               ...   \n484602                              0   \n484603                              0   \n484604                              0   \n484605                              0   \n484606                              0   \n\n        repeat_features_end_site_Type I Transposons/SINE  \\\n0                                                      0   \n1                                                      0   \n2                                                      0   \n3                                                      0   \n4                                                      0   \n...                                                  ...   \n484602                                                 0   \n484603                                                 0   \n484604                                                 0   \n484605                                                 0   \n484606                                                 0   \n\n        repeat_features_end_site_Satellite repeats  \\\n0                                                0   \n1                                                0   \n2                                                0   \n3                                                0   \n4                                                0   \n...                                            ...   \n484602                                           0   \n484603                                           0   \n484604                                           0   \n484605                                           0   \n484606                                           0   \n\n        repeat_features_end_site_Type I Transposons/LINE  \\\n0                                                      0   \n1                                                      0   \n2                                                      0   \n3                                                      0   \n4                                                      0   \n...                                                  ...   \n484602                                                 0   \n484603                                                 0   \n484604                                                 0   \n484605                                                 0   \n484606                                                 0   \n\n        repeat_features_start_site_Type I Transposons/SINE  class  \\\n0                                                       0       1   \n1                                                       0       1   \n2                                                       0       1   \n3                                                       0       1   \n4                                                       0       1   \n...                                                   ...     ...   \n484602                                                  0       0   \n484603                                                  0       0   \n484604                                                  0       0   \n484605                                                  0       0   \n484606                                                  0       0   \n\n        splice_site_AT:AC  splice_site_GC:AG  splice_site_GT:AG  \n0                     0.0                0.0                1.0  \n1                     0.0                0.0                1.0  \n2                     0.0                0.0                1.0  \n3                     0.0                1.0                0.0  \n4                     0.0                0.0                1.0  \n...                   ...                ...                ...  \n484602                0.0                0.0                1.0  \n484603                0.0                0.0                1.0  \n484604                0.0                0.0                1.0  \n484605                0.0                0.0                1.0  \n484606                0.0                0.0                1.0  \n\n[484607 rows x 27 columns]",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>recount3_score</th>\n      <th>antisense_exon_start_ss</th>\n      <th>antisense_exon_end_ss</th>\n      <th>nearest_alt_start_ss_dist</th>\n      <th>nearest_alt_end_ss_dist</th>\n      <th>MaxEntScan_start_ss</th>\n      <th>MaxEntScan_end_ss</th>\n      <th>CpG_island</th>\n      <th>intron_length</th>\n      <th>phyloP_score</th>\n      <th>...</th>\n      <th>repeat_features_end_site_Tandem repeats</th>\n      <th>repeat_features_end_site_LTRs</th>\n      <th>repeat_features_end_site_Type I Transposons/SINE</th>\n      <th>repeat_features_end_site_Satellite repeats</th>\n      <th>repeat_features_end_site_Type I Transposons/LINE</th>\n      <th>repeat_features_start_site_Type I Transposons/SINE</th>\n      <th>class</th>\n      <th>splice_site_AT:AC</th>\n      <th>splice_site_GC:AG</th>\n      <th>splice_site_GT:AG</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>59151</td>\n      <td>0</td>\n      <td>0</td>\n      <td>170</td>\n      <td>362</td>\n      <td>9.09</td>\n      <td>11.90</td>\n      <td>0</td>\n      <td>385</td>\n      <td>5.65175</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>61021</td>\n      <td>0</td>\n      <td>0</td>\n      <td>24</td>\n      <td>232</td>\n      <td>7.66</td>\n      <td>3.89</td>\n      <td>0</td>\n      <td>499</td>\n      <td>1.40575</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>21</td>\n      <td>0</td>\n      <td>0</td>\n      <td>24</td>\n      <td>246</td>\n      <td>7.15</td>\n      <td>7.61</td>\n      <td>0</td>\n      <td>277</td>\n      <td>5.75650</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>526</td>\n      <td>0</td>\n      <td>0</td>\n      <td>322</td>\n      <td>232</td>\n      <td>1.14</td>\n      <td>3.89</td>\n      <td>0</td>\n      <td>168</td>\n      <td>5.35750</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>322</td>\n      <td>232</td>\n      <td>-12.10</td>\n      <td>7.63</td>\n      <td>0</td>\n      <td>78</td>\n      <td>3.62350</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>484602</th>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>487</td>\n      <td>25</td>\n      <td>-19.72</td>\n      <td>3.66</td>\n      <td>1</td>\n      <td>909</td>\n      <td>0.58700</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>484603</th>\n      <td>31374</td>\n      <td>0</td>\n      <td>0</td>\n      <td>777</td>\n      <td>464</td>\n      <td>9.21</td>\n      <td>13.74</td>\n      <td>0</td>\n      <td>415</td>\n      <td>2.74250</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>484604</th>\n      <td>67</td>\n      <td>0</td>\n      <td>0</td>\n      <td>572</td>\n      <td>2963</td>\n      <td>8.56</td>\n      <td>2.38</td>\n      <td>0</td>\n      <td>2970</td>\n      <td>-0.89575</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>484605</th>\n      <td>18958</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1178</td>\n      <td>2</td>\n      <td>-12.64</td>\n      <td>5.91</td>\n      <td>0</td>\n      <td>2358</td>\n      <td>2.41200</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>484606</th>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>232</td>\n      <td>24</td>\n      <td>7.66</td>\n      <td>3.89</td>\n      <td>0</td>\n      <td>498</td>\n      <td>2.04075</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n    </tr>\n  </tbody>\n</table>\n<p>484607 rows × 27 columns</p>\n</div>"
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ohe_splice_site = OneHotEncoder(sparse=False)\n",
    "splice_site_reshaped = df['splice_site'].values.reshape(-1, 1)\n",
    "\n",
    "\n",
    "onehot = ohe_splice_site.fit_transform(splice_site_reshaped)\n",
    "df_onehot_ss = pd.DataFrame(onehot, columns=ohe_splice_site.get_feature_names_out(['splice_site']))\n",
    "df = pd.concat([df, df_onehot_ss], axis=1)\n",
    "\n",
    "with open(\"model/onehot_splice_site.pkl\", \"wb\") as f:\n",
    "    pickle.dump(ohe_splice_site, f)\n",
    "\n",
    "df = df.drop(columns=\"splice_site\")\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_annot_test_y = df.pop(\"class\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train_val = df.copy()\n",
    "y_train_val = df_annot_test_y.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "outputs": [],
   "source": [
    "params =  {'colsample_bytree': 0.9, 'learning_rate': 0.01, 'max_depth': 7, 'min_child_weight': 1, 'n_estimators': 200, 'subsample': 0.8}"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "cv_acc_list = []\n",
    "cv_ba_acc_list = []\n",
    "cv_auroc_list = []\n",
    "cv_precision_list = []\n",
    "cv_recall_list = []\n",
    "cv_mcc_list = []\n",
    "cv_specificity_list = []\n",
    "cv_sensitivity_list = []\n",
    "cv_fpr_list = []\n",
    "cv_fnr_list = []\n",
    "model_dict = {}\n",
    "model_index = 0\n",
    "cv_predicted_labels = []\n",
    "cv_true_labels = []\n",
    "matrix = []\n",
    "\n",
    "skf = StratifiedKFold(n_splits=10, shuffle=True, random_state=1)\n",
    "skf.get_n_splits(X_train_val, y_train_val)\n",
    "\n",
    "for train_index, val_index in skf.split(X_train_val, y_train_val):\n",
    "    X_train_resampled = X_train_val.iloc[train_index]\n",
    "    y_train_resampled = y_train_val.iloc[train_index].to_numpy().flatten()\n",
    "\n",
    "    X_train, X_val = X_train_resampled, X_train_val.iloc[val_index]\n",
    "    y_train, y_val = y_train_resampled, y_train_val.iloc[val_index].to_numpy().flatten()\n",
    "\n",
    "    model_dict[model_index] = XGBClassifier(random_state=2, tree_method=\"gpu_hist\", scale_pos_weight=86761/397846, **params)  # 86761/397846 is the ration between negative data and positive data\n",
    "    model_dict[model_index].fit(X_train, y_train)\n",
    "\n",
    "    y_predict = model_dict[model_index].predict_proba(X_val)[:, 1]\n",
    "\n",
    "    y_predict_class = model_dict[model_index].predict(X_val)\n",
    "    cv_predicted_labels += list(y_predict)\n",
    "    cv_true_labels += list(y_val)\n",
    "\n",
    "\n",
    "    test_acc = accuracy_score(y_val, y_predict_class)\n",
    "    test_auroc = roc_auc_score(y_val, y_predict)\n",
    "    test_bal_acc = balanced_accuracy_score(y_val, y_predict_class)\n",
    "    test_precision = precision_score(y_val, y_predict_class)  # tp/(tp+fp)\n",
    "    test_recall = recall_score(y_val, y_predict_class)\n",
    "    test_mcc = matthews_corrcoef(y_val, y_predict_class)\n",
    "    matrix.append(confusion_matrix(y_val, y_predict_class))\n",
    "    tn, fp, fn, tp = confusion_matrix(y_val, y_predict_class).ravel()\n",
    "\n",
    "    # Adding the metrics to their list\n",
    "    cv_acc_list.append(test_acc)\n",
    "    cv_ba_acc_list.append(test_bal_acc)\n",
    "    cv_auroc_list.append(test_auroc)\n",
    "    cv_precision_list.append(test_precision)\n",
    "    cv_mcc_list.append(test_mcc)\n",
    "    cv_recall_list.append(test_recall)\n",
    "    cv_specificity_list.append(tn / (tn + fp))\n",
    "    cv_sensitivity_list.append(tp / (fn + tp))\n",
    "    cv_fpr_list.append(fp/(fp+tn))\n",
    "    cv_fnr_list.append(fn/(fn+tp))\n",
    "    model_index += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "------------------------------------------------------------------------------------------\n",
      "Stratified Cross-Validation Performance (* metrics of interest)\n",
      "------------------------------------------------------------------------------------------\n",
      "Accuracy: 0.9489421323968762 \n",
      "*AUCROC: 0.9797202696269903 \n",
      "*MCC: 0.8361522086253972 \n",
      "Sensitivity: 0.95580198940813 \n",
      "Specificity: 0.9174860057534338 \n",
      "*Precision: 0.9815216857877554 \n",
      "Recall: 0.95580198940813 \n",
      "*False Positive Rate: 0.08251399424656622 \n",
      "False Negative Rate: 0.04419801059186997 \n",
      "*Balanced Accuracy: 0.9366439975807819\n",
      "------------------------------------------------------------------------------------------\n",
      "Accuracy SD: 0.0006793429003685767 \n",
      "*AUCROC SD: 0.0008520005335819716 \n",
      "*MCC SD: 0.0021005388108620883 \n",
      "Sensitivity SD: 0.0007238989695954489 \n",
      "Specificity SD: 0.0022825970300467875 \n",
      "*Precision SD: 0.0005006051939530123  \n",
      "Recall SD: 0.0007238989695954489 \n",
      "*False Positive Rate SD: 0.0022825970300468096 \n",
      "False Negative Rate SD: 0.0007238989695954625 \n",
      "*Balanced Accuracy SD: 0.001154754352150829\n",
      "------------------------------------------------------------------------------------------\n"
     ]
    },
    {
     "data": {
      "text/plain": "array([[ 79602,   7159],\n       [ 17584, 380262]])"
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(\"------------------------------------------------------------------------------------------\")\n",
    "print(\"Stratified Cross-Validation Performance (* metrics of interest)\")\n",
    "print(\"------------------------------------------------------------------------------------------\")\n",
    "print(\"Accuracy: %s \\n*AUCROC: %s \\n*MCC: %s \\nSensitivity: %s \\nSpecificity: %s \\n*Precision: %s \\nRecall: %s \\n*False Positive Rate: %s \\nFalse Negative Rate: %s \\n*Balanced Accuracy: %s\" % (\n",
    "        statistics.mean(cv_acc_list), statistics.mean(cv_auroc_list), statistics.mean(cv_mcc_list),\n",
    "        statistics.mean(cv_sensitivity_list), statistics.mean(cv_specificity_list), statistics.mean(cv_precision_list), statistics.mean(cv_recall_list), statistics.mean(cv_fpr_list), statistics.mean(cv_fnr_list), statistics.mean(cv_ba_acc_list)))\n",
    "\n",
    "print(\"------------------------------------------------------------------------------------------\")\n",
    "print(\"Accuracy SD: %s \\n*AUCROC SD: %s \\n*MCC SD: %s \\nSensitivity SD: %s \\nSpecificity SD: %s \\n*Precision SD: %s  \\nRecall SD: %s \\n*False Positive Rate SD: %s \\nFalse Negative Rate SD: %s \\n*Balanced Accuracy SD: %s\" % (\n",
    "        np.std(cv_acc_list), np.std(cv_auroc_list), np.std(cv_mcc_list),\n",
    "        np.std(cv_sensitivity_list), np.std(cv_specificity_list), np.std(cv_precision_list), np.std(cv_recall_list), np.std(cv_fpr_list), np.std(cv_fnr_list), np.std(cv_ba_acc_list)))\n",
    "\n",
    "print(\"------------------------------------------------------------------------------------------\")\n",
    "\n",
    "sum(matrix)"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fpr, tpr, threshold = roc_curve(cv_true_labels, cv_predicted_labels)\n",
    "roc_auc = auc(fpr, tpr)\n",
    "\n",
    "plt.title('Receiver Operating Characteristic')\n",
    "plt.plot(fpr, tpr, 'b', label = 'AUC = %0.2f' % roc_auc)\n",
    "plt.plot([0, 1], [0, 1],'r--', label=\"AUC = 0.50\")\n",
    "plt.xlim([0, 1])\n",
    "plt.ylim([0, 1])\n",
    "plt.ylabel('True Positive Rate')\n",
    "plt.xlabel('False Positive Rate')\n",
    "plt.legend(loc='lower right')\n",
    "plt.show()"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "# Construct ML model (high-recall mode) with all data"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "outputs": [],
   "source": [
    "final_model = XGBClassifier(random_state=3, tree_method=\"gpu_hist\", scale_pos_weight=86761/397846, **params)\n",
    "final_model.fit(X_train_val[['recount3_score', 'antisense_exon_start_ss', 'antisense_exon_end_ss',\n",
    "       'nearest_alt_start_ss_dist', 'nearest_alt_end_ss_dist',\n",
    "       'MaxEntScan_start_ss', 'MaxEntScan_end_ss', 'CpG_island',\n",
    "       'intron_length', 'phyloP_score', 'phastCons_score',\n",
    "       'recount3_near_start_ss_with_better_score',\n",
    "       'recount3_near_end_ss_with_better_score',\n",
    "       'repeat_features_start_site_Tandem repeats',\n",
    "       'repeat_features_start_site_LTRs',\n",
    "       'repeat_features_start_site_Satellite repeats',\n",
    "       'repeat_features_start_site_Type II Transposons',\n",
    "       'repeat_features_end_site_Tandem repeats',\n",
    "       'repeat_features_end_site_LTRs',\n",
    "       'repeat_features_end_site_Type I Transposons/SINE',\n",
    "       'repeat_features_end_site_Satellite repeats',\n",
    "       'repeat_features_end_site_Type I Transposons/LINE',\n",
    "       'repeat_features_start_site_Type I Transposons/SINE',\n",
    "       'splice_site_AT:AC', 'splice_site_GC:AG', 'splice_site_GT:AG']], y_train_val)\n",
    "\n",
    "# Save the model into pkl\n",
    "pickle.dump(final_model, open(\"model/model_high_recall.pkl\", \"wb\"))"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "# SHapley Additive exPlanations (SHAP) / Feature Importance Analysis"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "outputs": [],
   "source": [
    "X_train_sample = X_train_val.sample(frac=0.5, random_state=4)\n",
    "explainer = shap.TreeExplainer(final_model, X_train_val)"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "outputs": [],
   "source": [
    "pickle.dump(explainer, open(\"model/shapExplainer_high_recall.pkl\", \"wb\"))"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|===================| 242205/242304 [21:52<00:00]        "
     ]
    }
   ],
   "source": [
    "shap_values = explainer(X_train_sample)"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 800x950 with 2 Axes>",
      "image/png": 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H0ev1ZGVlVTqm0tnMNm/eTFFRUbllrFYrP/74IxEREQ4JDJQkYgAZGRn8/vvvdOzY0a7lSFEURo4cCZRc40sNHTrU7ndVVVmzZg0tWrSgevXqdvfXzc2NJk2asH379kqf642SkZFhd+2MRiO5ublkFUkCI64zBfukRS3/PbanZl1+rN+WN7oN4kRA9ZKFBi24lryanD8FgAvF6Ciw2/ZMtavPcKgqGk57+TgsP+tezWFZvkZLtpv9ck9THnl6dzyL8y6W07violqx5pk5ffq0XflLf68KFaXCL3GRtMQIIcQ1CgsLs/v96NGj5OXl0b1798tuk5GRQXh4OMePH0dRFIcuWZdKTU0lMDCQatUc/xDXrVuXlJQUsrKy8POr2tOta9as6bDM29sbgOzs7ErtKywszHZNunbtyq+//mprVerZs2eF99O9e3dWr15NfHw8ixcvpmnTpjzwwAP06NHD1l0rKyuLnJwc2rVrd8V9paaWfNNap04dh3URERFoNBpOnTrlsC483L7rSGZmJtnZ2Wzfvp2uXbuWe6zSxOlWcOn7oTQx9AJ8DVYyy88Nhaia0kTmMgkMgF+BicR7O7K5dmBJC4qr1m6ygOTwevxWsy5tT/2DL8c5S0Pbus4HjrCmSQP7HSoXjldsASAgP4d6mWcdjht1MIl32/TGWmZWtfp5+dRPP2xX7nC1cDqc2EVKQD0ANBYLYefPkKn3IKRPTYeuordD19E7lSQxQghxjS6diUxVVXx9fcsdY1Gqbt26tp/LtrhcD1fal8ViKXf5lSre6hUqJBXRrl07/P39Wb58eaWSGL1ezyeffMK+ffvYvn07u3btIjY2lri4OKZNm0bnzp2vKa6KKO/eArRp04bhw2/vbiUbH9XQZamV8/IYDnE9VORjQlWJyMzHqihEZJ7lj6Awx9nOFIX3O/Rj2dcf4UoOFgW0KhRrtdQ5m03rI6dIql0DFTBYrBRpFCgygxXuTT/FK9u/55luTzB55zoeOPkXKmDWuPBPYB3qZ2dw3tWDHL2BxllZvPnLN2yq24aOh5NQVJVdwU1I1xvwN7qxrV4bPPNz6ZCyjwyDJ+eDA3j404p/fokbT5IYIYS4zmrVqsXx48dp2rQp7u7uVywbHh7OL7/8QkpKyhXHfdSsWZNff/2V3Nxch+ezHD58GA8PD9tA+9LWmvJmA0tNTb2mKYKrmmwVFRVVaXYygCZNmtiuTVpaGo8//jhz5syhc+fO+Pj4UK1aNQ4ePHjFfZSO3zl8+LDDuqNHj2K1WsttjbqUr68vXl5e5OXlVXqiglvNfdU1nHvaMXlVVZUpP1h4b58TgrqJPIC8q5a6W6hlWk8u82T4q/7XVx1/vWSWM69iMy6qSoqfNz+Hhl6chvmSfRs13qT41KVmTir/jeyKUaNyyMeLR1L+YPb3X7DfL5gN4feSpvMgICsLD1M+BaFehHjoKZjYlwcsVo52G0RGUDVMZiuhBhPhPt4s1lnwq2HAUmQhv8iNoscfIS/HxGZjTzJnbsNDUen86UP4N61D0wuzQsLlW9SFc0kSI4QQ11mfPn34+eefmT17Ni+99JLD+vPnz+PvXzIjT48ePfjqq6/45JNPmDlzpm065VKqqqIoCp06dWLbtm18+eWXdgP+t23bxoEDB+jVq5etNaW0K9eOHTt4+OGHbWXXrl1Lenr6NXV/KE3KcnJyHAb2nzt3zjYdc1mrVq3CaDTaxVIRWVlZtsSsVFBQEL6+vrYubhqNhh49erBs2TK+/fZb+vfvb1e+9Pr5+fnRrFkztmzZwqFDh6hXr55tfXx8PECFWnY0Gg09e/Zk2bJl/PTTT+V2KcvIyKhyt75bgaIo/F9PF/5PvnS+a5RMePElACNGjECns68eKu+byzzMspxsRlUvJiN242K4mBOpKjWyCzBqIc/VBy+jkdrnznDCL4h8t4vjAbUWK51TzrIu/GGq5WbxyB87ePTQ+AtrGwGDaAP8+3qceFnD7r3eexQ3mCQxQghxnXXt2pV+/fqxdOlS/v77bzp06ICPjw9nz57l999/5+TJkyQkJAAlrQzDhw9n3rx5PP7443Tv3h1/f39SU1NtT7n38vKiX79+rFq1innz5pGamkrLli05ceIEy5cvx9/fnwkTJtiOX7t2bdq0acPKlStRVZUGDRqQkpLCpk2bqFWrFmZz1Z+lUdoiMmvWLHr16oVer6du3brUq1ePZ599Fm9vb5o1a0ZwcDBGo5E9e/awefNmgoKCGD16dKWO9fnnn7N9+3bat29PzZo1UVWVn3/+maNHjzJs2DBbuXHjxrFz506mTZvGb7/9xn333QfAgQMHMJvNttnFJk+ezOjRoxk1apRtiuWtW7fy66+/0rNnT4eZyS5nwoQJ7N27l1deeYX169fTtGlTdDodp0+fZtu2bdxzzz23/OxkQlSGOvlidVH5n6mcApf5GRXU0gdgKhzw86BeMze2Di/5MuTYyVz6/+cMFr0rZ/3c8c8rZNCuA3iYSj6jcjyq0f7Erut+PuLOIEmMEELcAG+88QatWrXim2++4csvv8RkMuHv70+jRo3sEg4omUq5fv36LF26lPnz52O1WgkKCuLBBx+0jclwcXFh9uzZtoddbty4ES8vL7p06cL48eMJDg622+dbb73F//73P9auXcvq1atp0aIFc+fOZfr06dc0m07z5s2ZOHEiK1euZNq0aVgsFkaNGkW9evUYMGAAGzZs4NtvvyUrKwsXFxdCQ0MZPnw4Q4cOdWhVuZqHHnqIc+fO8dNPP5GRkYHBYKBWrVq89tprPPLII7Zy1apVIz4+ni+++IKNGzeyceNGPDw8iIiI4NFHH7WVu/fee/niiy+IjY1l+fLltoddTpw40WEWsivx9PTkiy++YOHChaxbt44tW7ag1WqpXr06zZs3d2gNEuJOor6ou2qZM9km5uxUKSyGh8JU3PQKD9V3QVHstw0P9WL3PC/uH3WSV37cgYvD+DsFvbWAO5/MOlYVinqtIzaFEEIIIcRtq/T5SVDanezqicr1VH/8GR7/8yCBWTl23dWyDTr6HVpL0/Pv39R4bjZVGXb1Qhco6vwbGMnt5daZB1IIIYQQQtx10lw0HAr2Ic/NAFYrWKyYNBp6Hv2JvwIdp0UXAqQ7mRBCiJssOzsbk6mcfvVluLq62p5pIoS4sxVoID/zPD137CPdzxuNqhKYkY27oudQnVBnhyduUZLECCGEuKlefPFFdu268mDdvn37yuB4Ie4Ser2OFmmZaFWV4PNZtuUFqi/BmanOC+wmUSsxJkZGz1wkSYwQQoib6vnnn7/qM2MCAwNvUjRCCGcr0mr5IyiEiPP57AsJpHHaOVqeOkORi0Ld/LPODk/coiSJEUIIcVPdc889zg5BCHELsQLfNK3PspYXn9XyWPKfvLT+FyyFeucFJm5pMrBfCCGEEEI4jwpmF/vv1b9qeQ867wwKuX0fHFtxSiVeopQkMUIIIYQQwmk8TWa7qZUBVEXDMR9fAosynRSVuNVJEiOEEEIIIZxGqwHvwny7Zd6FBbRNPYZVsTgpKnGrkzExQgghhBDCaRofP42H1sohT3eO+AZSO+s8MT+swMWsklHL19nh3QTSTawqJIkRQgghhBBOs23JvbQZ8hdN03P4MmEJDTLPkqnzZFu1IHr9Mc7Z4YlblCQxQgghhBDCqXZ8XTprYXMAggGZx1BciYyJEUIIIYQQQtxWpCVGCCGEEEIIJ1FlTEyVSEuMEEIIIYQQ4rYiSYwQQgghhBDitiLdyYQQQgghxBW5v3yaAhd3MJspnuaNTidVyOtHupNVhbTECCGEEEKIcuXmF1Nt0lmKtB6EmCzUNVvxfsOI8uJ5Z4cm7nKSRgshhBBCiHJ1eOoweeE16HfqDIVaLUadjlanz5Nc3Rer1YpGI9+HC+eQJEYIIYQQQpTr9/AQmmXn8mN4DQpKu5CpKg+mnsXlubNYZwU7N0Bx15L0WQghhBBClEtVFNLd3ShAgWILmK0A7Ar0J8BicXJ0dwa1Ei9xkbTECCGEEEKIcuk1Gk4b9GC5UIW2qqAqFOi0uJrNzg1O3NUkiRFCCCGEEOXSqCrqpR13LCpgoUCrdUpMQoAkMUIIIYQQ4jKsFitoyxl9oNVQqJck5vqQKZarQsbECCGEEEKIclk15VSwtQq4aHB31d/8gIS4QJIYIYQQQghRLrOrjtDiYnSooIBGAx4mMy7FFgrdXFFePOfsEMVdSrqTCSGEEEIIB8UmE55mC6l+7liVku+9rUCexQrFVkABd1enxngnUKU7WZVIS4wQQgghhHBw/7OpKFqNLYGx0Solwzg0CphVlBfOOyU+cXeTJEYIIa6T0aNH069fP2eHIa4iNTWVVq1aERsbe8VlQtzNMrPyOFrdj3zdhcH7VivkF5e8LCq4XKhCGlzATcbGiJtPkhghxB0rNzeX2NhYkpKSnBZDYmIiixcvvqHHSE1NJTY2lgMHDtzQ42zatEkq+eW4GfdYiJtt3Oh/cDNZeGrb72CywLl8yC0qeZ3PA5MVrGAwm3EzW1D+I60x4uaSJEYIccfKzc0lLi6O5ORkp8WQmJjIV199dUOPkZqaSlxcHCkpKTf0OJs2bSIuLu6GHsNZQkJC2LZtG08++WSlt70Z91iIm2lo13X8XC+Mumczmd+2cUnri1rmefEqUFAMGoUinR6NVoPi6ua0eG9/SiVeopQM7BdCOF1eXh4eHh7ODkNcxt1wfxRFwWAwODuMO9pvqRZe3qyy5yzkmkoGiItLqOUtK+dKqSooCqgq+qJCwnMy6PvnLo77+XPcJ5D7T/7D34E1SAmsgc5cTM+Df3Day4fGZ06S6erB38E1+TswlCx3D+qfPcUTu7bSI+UAmW7exMV9gbZ2HdT8XLZH1AALYC4uNwZ9cTHtT5zFJ7+QE57ueL/kTY6na8lX5KXjaFxKuqNpFHDTgocePugEQ5vqrtNFE3crRVXV8v7LCCHuQImJibz55pvMmTOHv//+m+XLl3P27FlCQkIYOXIkffv2tSv/22+/MX/+fP7880+Ki4sJCwsjOjqa6Ohou3Lbt28nISGB/fv3c+7cOXQ6HY0bN2bkyJHcf//9dmVHjx7N6dOnmTNnDrNmzSIpKYmcnBxbl69z584RFxfH1q1bOX/+PD4+PnTo0IFx48bh5+dn2092djafffYZW7ZsIT09HTc3N0JCQujevTvDhg0jKSmJsWPHOlyDkJAQEhMTK3zNfvzxR9asWUNKSgoZGRm4u7vTvHlzxo4dS/369cs9t9L99+vXj9OnTzvsc+7cubRq1apCx09LSyM2NpadO3dy/vx5PD09qVWrFgMHDqRv3762e3qpli1b8umnn2K1WomPj2f79u0cP36c7Oxs/P39ad++PePGjcPHx8e2TWpqKpGRkYwaNYqIiAjmz5/PkSNH6NatG6mpqezatcvhOG+88UaFxwFd7Z6VWrVqFUuXLuX48eOYzWb8/f1p2rQpL7zwAr6+vhU6Vqk9e/Ywa9YsDhw4gIeHB126dCEqKoohQ4YwatQoxowZ43DupcsqEsv1uMd3g74rzHx/xNlR3Jn67dvJh9/No3bmWco+erLARccLfZ9gyqYEwrLOo1LyPf5ZDy9qv/oJBXr7pF1jtfLyhrVM2ZDAF03v5/lew6iTdY4znt7k4QJFJrvyioeermey8DZbKNBqSKnmhmdeAbtDA0sSLA0l8zGDYyOCCqFecGK8JDIAJmV0hcvq1E9vYCS3F2mJEeIuFBMTQ1FREQMHDkSv17N8+XKmTp1KaGgozZs3B2DlypVMnz6dpk2bMnLkSNzc3Pjtt9949913OXXqFM8++6xtf4mJiWRnZ9O7d2+CgoI4e/YsCQkJjB8/nrlz59KiRQu74+fn5zNmzBiaNWvG+PHjycjIAEoq7CNGjMBkMvHII48QGhrKiRMnWLFiBUlJSSxYsABPT08ApkyZwq5du4iKiqJ+/foUFRVx5MgRkpOTGTZsGBEREUyaNIkZM2bQuXNnOnfuDIC7u3ulrtXSpUvx9vZmwIABBAQEcPLkSb755huefPJJFi5cSFhY2GW3feGFF5g9ezZZWVlMmjTJtjwiIqJCxzabzUyYMIH09HSio6MJCwvDaDRy6NAhdu/eTd++fWnRogUjRowgPj6eAQMG2K51acJnMplYsGABDz/8MA899BCurq7s37+fhIQE9uzZw8KFC9Hp7CsSmzdvZsmSJURFRREVFYWHhwfVqlVDVVV2797NW2+9ZSvbrFmzCl/Lq90zgO+//56pU6fSokULxo4di8Fg4MyZM2zbto2MjIxKJTH79u1j/PjxuLu7M2zYMLy8vPjxxx954403KrR9RWK51nt8N9hz1ioJzI2iqny+bC6B+bkOq9zMJqb9sAS/gjzgYg4xsf+TDgkMgFWjYXrX3rQ5/if7AkL5e85LNMxIw6gz8MZDUcxo0a1kbAyAuw7VXceuIG/qZucTZiykSVYea2sFois2YTLoS5raNCrldoFS4GQu/J1uolGgJDIyxXLVSBIjxF2ouLiY+fPn2yqvXbp04ZFHHmHp0qU0b96cc+fO8f7779O9e3feeecd23aDBg3i/fffZ9GiRURFRREaGgrAa6+9hpubfX/oqKgoBg8eTHx8vEMSk52dTVRUFOPHj7db/t5772E2m1m0aBFBQUG25V27dmXEiBEsWrSIMWPGYDQa2blzJ9HR0bz00kvlnqO/vz+dOnVixowZ1KtXj969e1fpWn388ccO59anTx8ee+wxFi9ezJQpUy67badOnVi8eDFFRUVVOv6RI0c4duwYEydOZPjw4eWWCQ0NpW3btsTHx9OsWTOH4+j1etauXYurq/2zHJo1a8a0adPYtGkT3bp1s1v3zz//8PXXXztUxNeuXcvu3burdC4VuWdQMu7Gw8ODOXPm4OJy8U9Uea1qVzNjxgysViuff/454eHhQMl7uKLjXioSy7Xe4xstIyMDDw8PW1c5o9GIqqp4eXkBJZ8Fubm5+Pv727Y5ffo0ISEhl/09LS2NoKAgFEWp0DE2HjUjQ3BvnPISmFKlCUxZ+4NqXnF/R3yDeHnnaupnngXA01TEBz8tZkPtxuypWRuDC5itYLHCeVc95131GHW53JuZh1+hibP6Mu1BpTnMZXKZeX/C9E4lP1f2fXUz3rtVOYa4eeRTRYi70KBBg+y+fa9evTphYWGcOHECgJ9++oni4mIeeeQRsrKy7F4dOnTAarWyY8cO2/ZlK/n5+flkZWWh1Wpp0qQJf/75Z7kxPPHEE3a/G41Gtm7dSseOHTEYDHbHrFGjBqGhofz2228AGAwG9Ho9+/btIzU19bpdl/KUnpuqqhiNRrKysvD19SU8PJx9+/bd0GOXtjolJyfbWqsqS1EUWwJjsVjIzc0lKyuL1q1bA5R7Du3bt7/uLQkVvWeenp4UFhaydetWrqW3c0ZGBr///jsPPfSQLYEB0Ol0PPbYYxXax/WKxZn8/Pzsxvp4enraKmhQkuSWraABDhWyS38PDg62VQIrcoy+9eX70htGUThZ7fKtk6c9vR2WdU3544q7bHv4hC2BKavzsf24Wiy4nc/HklMExiIoLmmZOejtgQoYdVpM+jL3W7nk31IX/jtNvP/iisq+r27Ge7cqxxA3j3yyCHEXqlnT8Zs4b29v0tLSADh69CiAQ0tJWWUr1SdPniQmJobt27eTm2v/rWDZPxilfH197f5QlB7TarWSkJBAQkLCFePW6XRMmjSJDz74gMjISOrUqUOrVq3o1KkTbdq0uWzMVfH3338zd+5ckpOTKSgoKDeeG6V0rNKXX35Jz549adCgAa1bt6Zr1640bty4wvtZt24dCxcu5MCBA5jNZrt1OTk5DuWv1EWuqip6z0aMGMGuXbuYPHky3t7etGzZkgcffJBu3bpVanKBU6dOAVC7dm2HdXXq1KnQPq5XLHe7+r4axjRTif399kwEb2kqDB76PN9/8S6+hfmli1CA4z7+PBP5b95bvZgG5y6O23p3zWJ+aNScv4JCL+yjZJIAjdXK5E0/cM+5VIoUPQbVfjD//qBQDLlFZOlcwF1f8sBLqwomK2YNHPV0JVenxZaxXOVr8pZBUMNLqqGi6uTdI8RdSKMp/69L6bfNpf+++eabBAQElFu2tAKfn5/PqFGjKCgo4F//+hf16tXDw8MDRVH48ssv2blzp8O2l3ZtKqtXr14OEwyUKvuNWXR0NJ06dWLr1q0kJyezfv16li5dSrdu3Zg+ffpl918ZaWlpjB49Gg8PD5588klq166Nq6sriqLwwQcfOCQ1N8L48eOJjIxk69at7Nmzh4SEBBYsWMCwYcN45plnrrr9hg0beOWVV2jcuDGTJ08mKCgIvV6P1Wpl4sSJ5bYwXOn+XIuK3LOwsDCWLVvGjh072LlzJ7t27WLatGnExsYSFxdn68J4M9xKsdzu5nbXMvVBKx/stLLtBPyTA4WFkCN5jaPyron1wlgURVPm55LZyXaG1KLhpP/xwqbvCcjPIb5VJ5qlHmV3jdpkeHjR/7GJtDx9nEyDG43OpOJdlMfb3y8k3dOH7xq2YMCfv5HpWY3jHj4c9fZna91QfHOq0y7tL7QXZkZbeW9rfmh4H2QVgrcBynYZK7LgYraSHOxT0sdMNQMKWBRQFXDRolfA1x1CPcHdBT7vBfX9ZSzMRTImpiokiRFCOKhVqxYAPj4+tG3b9opld+zYQXp6Oq+//jqRkZF26+bMmVPhY4aGhqIoCmaz+arHLBUQEED//v3p378/FouF119/nR9++IGhQ4fSuHHjcluBKmPjxo3k5+czY8YMh5mmsrOz0euv/pTqa40BSq7NkCFDGDJkCEVFRUycOJH58+czdOhQ/Pz8rniM1atXYzAYiI2NtUtOSlvbKuN6nMvV7hmUdOFo37497du3B2Dr1q0899xzLFq0iJdffrlCx6lRowZQ/nkePny4wvFWJJbrcV3uBsEeGv7XSXqxV03Z6tqllX9XwBt4CoCSEV8tLynTqNy9lozuehCTyUR8fDyQQc8FU3i8z2re6hLJiH37+axFUzbUb1LSYqNV7BMYAL0Gk0UFkwV1auUmThHiWsiniRDCQbdu3dDr9cTGxlJYWOiw3mg0Ulxc0tVAqy35g3bpN/rbt2+v1JgRHx8fHnzwQTZs2MAffzj22VZVlczMTAAKCwsd4tJqtbYpj0u7SJWOZymvy1RFlLZYXXpu33zzDefPV+zp1O7u7uTk5FRpTIXRaHTo/mUwGGxdpErPq3TGtezsbId9lJ6D1XrxWROqqvL5559XOp7S61neca6movcsKyvLYdtGjRpV+rilUyFv3ryZY8eO2ZabTCYWL15coX1UNJZrucdC3IqW/vgI22rWZlnT9vweUq9koaKAp76kpaj0dWF5SH4hTV2LnBStuFtJS4wQwkFQUBBTpkxh2rRpDBo0iN69exMSEkJmZiaHDh1i06ZNLFu2jBo1atC8eXP8/f356KOPOH36NNWrVyclJYXVq1dTr149Dh06VOHjTpkyhaeeeopRo0bRp08fGjZsiNVq5dSpU2zZsoXevXszZswYjh07xujRo+ncuTN169bFy8uLo0ePsnz5cmrWrGmbDc3Hx4datWrx448/Ehoaip+fH25ubnTs2LFC8Tz44IN8/PHHvP766wwePBgvLy/27t3LL7/8QmhoKBaL5ar7aNKkCT///DPvvfcezZo1Q6PR0Lp1a7tn3lxOUlIS77zzDg8//DDh4eG4u7vz119/kZCQQJMmTWzJTEREBB4eHixfvhxXV1e8vLzw8/OjdevWdOnShQ0bNjB27Fj69OmD2Wxm8+bN5SanV9O0aVOWLl3Ku+++S/v27XFxcaFJkyYVGhtU0Xs2YcIEvLy8aNGiBUFBQeTm5pKYmIiiKJWe/ev5559nzJgxPPnkkwwaNMg2xXJF7ltlYrmWeyzErSrv3UBaPGOh0flctnoYSp5WqS+n2mhVCSooZveUIMd1okJkiuWqkSRGCFGuyMhIwsLCWLhwIStXriQ3NxcfHx/Cw8MZN26cbcYWLy8vZs+ezaxZs1iyZAkWi4VGjRoxc+ZMEhISKpXEBAcHs3DhQubNm8fmzZtZs2YNer2eoKAgOnToYJsKOCgoiMjISJKTk9m0aRMmk4nAwEAGDBjA8OHD7bpNvf3228yYMYOYmBgKCwsJCQmpcBITGhrKrFmziImJIT4+Ho1Gw3333UdsbCzvvfdeuQ85vNTjjz/OqVOnWL9+PStWrMBqtTJ37twKVXDr169P586dSU5OZu3atVgsFoKDgxkxYgRDhw61lXN1deWdd95hzpw5zJgxg+LiYlq2bEnr1q3p0aMH+fn5LF68mJkzZ+Ll5UXHjh15+umn6dKlS4WuQ6kePXpw4MABfvzxR9avX4/VauWNN96oUBJT0XsWHR3NunXrWLlyJdnZ2Xh7e9OwYUNeeumlSj88slmzZsTExDB79mzmzZuHp6en3cMur6aisVzLPRbiVtZs/3G2NKoN+Sbwcny2DKpKo7O5HHCT6qS4+RRV2r+FEEIIIe5aF8fElMzKV3YK/uBn0jgX4I3FUE6iYrFSPS2bM7Oq36xQ70hFyrgKlzWoFR9reqeTMTFCCCGEEKJcJlc9YXlFuJnsu2HqLFYotmDylqqkcA5p/xNC3HUyMzOvOi7C3d3dNmD+esvPzyc/P/+KZbRaLb6+l3+I3a2isLAQo9F41XKXm6q7su6kayfE7SDbTU+N3CJap2byZ6AXWa46vAvNNDhvZKeLSsZHwc4OUdylJIkRQtx1hg0bdtXxLKNGjWLMmDE35PgLFiwgLi7uimVCQkJITEy8Ice/ntatW8ebb7551XJJSUnX5Xh30rUT4nZgcdFyzlVHeE4BD5zKsi3P0YKlvIH+Qtwk8u4TQtx13n77bYqKrjwdaEUGq1dVnz59aN68+RXLlH2w562sXbt2xMTE3LTj3UnXTojbgcaqkuZm4GA1dyJy89GqkO6m508fd8i/eiusEDeKJDFCiLvO1SrBN1poaOgd87T3gICA69ZVrCLupGsnxG3BYgWNlpRATw4FeKJRVcxaTclyY8WmKxdXJlMsV40kMUIIIYQQolw6q0qRBlAUrApYSyvcGgVUrVNjE3c3mVJCCCGEEEKUy7fIBJd7GIdBqpHCeeTdJ4QQQgghyqUUFFKtsBgueaygYrGi/p88H+b6UCrxEqUkiRFCCCGEEOVKnV0DNb8Az/xisFpBVdGYLajZuc4OTdzlZEyMEEIIIYS4rJwZ1ckvKKbO25lENtTz6XBfwNXZYYm7nCQxQgghhBDiitzd9KT9f0HODuOOJLOTVY10JxNCCCGEEELcViSJEUIIIYQQQtxWJIkRQgghhBBC3FZkTIwQQgghhBBOI2NiqkKSGCGEEEIIcUXK+2aHZZ8+BKNaS1VSOId0JxNCCCGEEJdlsVjKXT56800ORIgyJIkRQgghhBCX5fKhetl12484ttCIylFRKvwSF0kSI4QQQgghquQ/m5wdgbhbSRIjhBBCCCGqxM/N2RGIu5UkMUIIIYQQokry850dgbhbSRIjhBBCCCGq5GShsyMQdytJYoQQQgghRJWEeTo7AnG3kiRGCCGEEEJUSTVXZ0cg7lbyhCIhhBBCCFElBcXOjuD2J1MnV420xAghhBBCiHL5vX/l58B4GW5SIEJcQpIYIYS4jNGjR9OvX78bVv5qkpKSaNWqFYmJiddtn0IIURmZV1kf6HVTwhDCgSQx4qZKSkoiNjaW3Nxch3V//PEHL730Ev3796djx4507NiRwYMH8+mnn2I0Gp0Q7e0lNTWV2NhYDhw4cEOPs2nTJmJjY2/oMW5liYmJLF682NlhXLMr3ce7/R4LcVtSBoLLwIu/q+q17/IqrTAAhzOu+TACpRIvUUqSGHFTJScnExcXV24Sc+zYMQoLC+nVqxfPPvsszzzzDI0bN+aLL77gySefpLBQ5nG8ktTUVOLi4khJSbmhx9m0aRNxcXE39Bi3ipiYGFasWGG3LDExka+++spJEV0/V7qPd9M9FuK2pgy8+AKwlFmmibr482NvVmq3KafNFUpgANLlO0bhJDKw/xZjsVgwmUy4ut5903307duXvn372i2Ljo4mIiKCWbNm8fPPP9OtWzcnRXd9qapKQUEB7u7uzg6lwvLy8vDw8HB2GDeVTqdzdgh3HLPZjMViwWC4/TrSFxYW4uLigouL/OkUZbyyAN79xtlRXNlXe+GrgeWuSgc+bdeV9x7oRY63H2M+olJf+G/NqViLDUC3GjCkMfSrryHQXb5HF9dGPomdKDExkTfffJOYmBj++OMPEhMTSUtL47XXXqNv376sWLGCb7/9liNHjqDRaLj33nsZNWoUrVq1ctjX+vXrWbJkCSkpKZhMJoKCgmjXrh3PPfecrSJWUFDA559/zrp16zh79izVqlWjbdu2jBs3jpCQEIe45s6d63Cs0aNHc/r0abs++v369SMkJIRXX32VDz/8kN27d6MoCm3btuWll14iICAAgKlTp7Jq1SoAIiMjbduPGjWKMWPGXPY6lcaWk5NT2Utc4dhKGY1GvvjiCzZs2MCZM2fw8PCgTZs2jB8/ntDQUFu5vLw85s2bx2+//cbJkyfJz88nKCiILl26MGrUKLskNCkpibFjx/LGG29QUFDAsmXLOHnyJP/+97+veN5lpaWlERsby86dOzl//jyenp7UqlWLgQMH0rdvX9s9A3jzzTdtP7ds2ZJPP/0Uq9VKfHw827dv5/jx42RnZ+Pv70/79u0ZN24cPj4+tmOlpqYSGRnJqFGjiIiIYP78+Rw5coRu3bqRmprKrl27AOzeG2+88UaFx4JkZ2fz2WefsWXLFtLT03FzcyMkJITu3bszbNgwW7lVq1axdOlSjh8/jtlsxt/fn6ZNm/LCCy/g6+tboWOtWrWKqVOn2r2XzWYznTt3pqCggIULF9KoUSOg5J4+/PDD9O/fn1deeQVwfL/369eP06dPO5z/pf9X0tPT+fDDD/n1118pLi6mRYsWvPjii4SHh1co7vJ8/fXXLF26lLS0NIKDgxk8eDBDhgxxKHf8+HHi4uLYsWMH2dnZBAYG0rVrV0aPHo2bm5vtvC53HxMTE696j8+dO0dcXBxbt27l/Pnz+Pj40KFDB8aNG4efn59tm9jYWOLi4liyZAkJCQn89NNPnDt3jk8++aTcz7Hy7N27l88//5wDBw6Qm5uLt7c39evXZ9SoUTRt2tRWzmg0Mm/ePDZu3Ehqaipubm7Url2bwYMH06NHD1u5gwcPEhsby+7duykoKKBmzZr07duXoUOHotVqbeVKP6/WrVvHrFmz2LZtG5mZmSQkJFCjRo0Kf1aIO9joGIhb7+worlkgMDjlD75v0ZFfPWrd0GOtSy15sc5KI18rf4zQ4qKRLlKiaiSJuQXMnDkTs9nMgAED8PDwIDw8nNdff50ffviBLl260K9fP0wmE2vWrGHChAm89957PPTQQ7btY2JiiI+Pp06dOjz22GMEBARw8uRJNmzYwNixY9HpdJjNZp5++mn27t1Lly5dGDp0KMePH2fFihX89ttvzJ8/n6CgoCqfQ3p6OmPGjKFTp04888wzHDx4kJUrV5KXl0dMTAwAAwcOJC8vj40bNzJp0iRbxbl+/fp2+yosLLS9/vrrLz7++GN0Oh1t27a9YbFBSSVo5MiRpKWlERkZSZ06dTh37hzLly/n3//+NwsWLLAlVOnp6SQkJPDwww/Ts2dPtFotu3btYv78+Rw4cIDZs2c7xPHVV1+RnZ1N//798ff3r/D1NpvNTJgwgfT0dKKjowkLC8NoNHLo0CF2795N3759adGiBSNGjCA+Pp4BAwbQokULAFuF0mQysWDBAh5++GEeeughXF1d2b9/PwkJCezZs4eFCxc6tDps3ryZJUuWEBUVRVRUFB4eHlSrVg1VVdm9ezdvvfWWrWyzZs0qfD+mTJnCrl27iIqKon79+hQVFXHkyBGSk5NtScz333/P1KlTadGiBWPHjsVgMHDmzBm2bdtGRkZGhZOY0oryzp07bT/v27ePgoICNBoNSUlJtiRm9+7dWCwWWrdufdn9vfDCC8yePZusrCwmTZpkWx4REWH7uaCgwFbBnjBhAqdOneLrr7/mhRdeYMmSJXYV5YpasmQJ58+fZ+DAgbi7u/PDDz/w/vvvk5OTw+jRo23l/vrrL8aOHYuXlxcDBw6kevXqpKSk8PXXX7N3714+/fRTXFxcGDly5GXvY2Bg4BXvcVpaGiNGjMBkMvHII48QGhrKiRMnWLFiBUlJSSxYsABPT/un3/33v//FYDDw+OOPoyiKw5cHl3P06FEmTJiAv78/Q4YMwc/Pj4yMDPbs2UNKSooticnNzeXJJ5/k8OHDdOnShejoaCwWCwcOHGDr1q22JGb//v2MHj0aFxcXBg0ahL+/Pz///DMff/wxBw8eZNq0aQ4xlB7/ySeftLWeVuazQtyhzOY7IoEpVf/8GeKXzqHRSx+BcnOSir8zYdw6K3E9Kv+ZeKeRKZarRpKYW0BhYSGLFy+2fXu/ceNG1qxZw6uvvsrAgRebf4cMGcKIESP44IMP6NixI4qisG/fPuLj42nVqhUzZ86066IxceJE28+JiYns3buXJ554gmeffda2vG3btjz33HPMnj2bt99+u8rncOLECaZPn27X3Uuj0bBs2TKOHj1K7dq1adasGfXq1WPjxo106tSJGjVqlLuvuXPnsnDhQtvvderU4cMPP6zyt5sVia30uKdOnSI+Pp4GDRrYyvbr148hQ4YQGxvL1KlTAahZsybff/+9XbeSwYMHM2fOHD7//HP27dtHkyZN7OJIS0tj+fLldt9UV8SRI0c4duwYEydOZPjw4eWWCQ0NpW3btsTHx9OsWTN69+5tt16v17N27VqHborNmjVj2rRpbNq0yaGr3j///MPXX39tV0EHWLt2Lbt373Y4RkUYjUZ27txJdHQ0L7300mXLbdq0CQ8PD+bMmWN3jceOHVup4wUHB1OrVi127tzJuHHjgJKExsfHh3vvvZcdO3YwdOhQ23JFUa7YQtCpUycWL15MUVHRZc8/KyuLJ554wu5e+fr6MmvWLHbs2EG7du0qdQ5Q0rqybNkyW+I7ePBgnnzyST7//HMeeeQR2/K33nqLgIAA5s+fb9f1r02bNrz44ousWbOGfv368cADD1z2PoaGhl7xHr/33nuYzWYWLVpkl4h37dqVESNGsGjRIocWRk9PTz755JNKd8Pavn07hYWFvPPOOw7/n8qKiYnh8OHDDp+ZAFar1fbz+++/j8lkIj4+3vblyaOPPsorr7zC2rVriYyMpE2bNnbb161b1+Gz8f3336/wZ4W4Qy3f7uwIrrvjPv43LYEp9ePRa598QNy9pEPiLSA6Otqucrl69Wo8PDzo1KkTWVlZtpfRaKRDhw6kpqZy/PhxoKRCCfD000879DFXFAXlwgfSxo0b0Wg0jBgxwq5M+/btadCgAVu2bLH7Y19ZgYGBDpXg0srgiRMnKrWvgQMHEhMTw7vvvsvjjz+OXq8nKyvrhsamqipr1qyhRYsWVK9e3e66u7m50aRJE7Zvv/hHS6fT2SpkZrOZnJwcsrKybBWgffv2OcTRp0+fSicwgO1b7eTkZDIyqjYNjKIotveYxWIhNzeXrKwsW6tDefG2b9/eIYG5VgaDAb1ez759+0hNTb1sOU9PTwoLC9m6dSvqNc6w06pVK/bv309+fj5wsVWmTZs27NmzB7O5pC93UlIS9erVs+taVxUajcahm1fpdS79f1tZPXv2tEsYdDodjz32GBaLhZ9//hmAQ4cOcfDgQXr27InJZLJ7Dzdv3hw3Nze793BVGI1Gtm7dSseOHTEYDHbHqFGjBqGhofz2228O2z322GNVGkdS+t7fvHkzRUVF5ZaxWq38+OOPREREOCQwUHI/ADIyMvj999/p2LGjXeuvoiiMHDkSKPmcvFRpkluqsp8VzpaRkWF37YxGo93EKsXFxZw/f95um9Iuk5f7PS0tze7/5V15jHYXk9c7RaOzp67LjGaVEVbt4s+3/D2v4DHEzSMtMbeAsLAwu9+PHj1KXl4e3bt3v+w2GRkZhIeHc/z4cRRFceiSdanU1FQCAwOpVq2aw7q6deuSkpJCVlZWlSrZUNIycSlvb2+gZAxEZYSFhdmuSdeuXfn1119trUo9e/a8IbFlZmaSnZ3N9u3b6dq1a7n7Ka0MlVq2bBkrVqzg8OHDDglgebOvXXqfKyokJISRI0fy5Zdf0rNnTxo0aEDr1q3p2rUrjRs3rvB+1q1bx8KFCzlw4ICt4l6qvPFGVY33SnQ6HZMmTeKDDz6wdcNp1aoVnTp1svsGfMSIEezatYvJkyfj7e1Ny5YtefDBB+nWrVulJxdo3bo133zzDbt37+b+++9n3759TJo0iSZNmvDRRx+xb98+IiIiOHjwII8++ug1n2NgYKDDFwpV/b9Qqrxksk6dOgCcOnUKKGmxg5JxKJebHrmqSXCpo0ePYrVaSUhIICEhodwy5f1/q+p7qXv37qxevZr4+HgWL15M06ZNeeCBB+jRo4etu1ZWVhY5OTlXbeEqTZpLr1tZERERaDQa27Us69JxTFX5rHCmSz/TL+3qp9fr8ff3t1t2aVe4S38PDg6WY4RXBzf9HfW4+vg2D9/0lpi53S7+X7nl73kFj1EV0p2saiSJuQVc2sVHVVV8fX3L7Z9dqm7durafy7a4XA9X2pfFYil3+ZX+aF/rN+nt2rXD39+f5cuXVymJqUhspf+2adPmsl22ylq4cCEfffQRDzzwAEOGDCEgIACdTkd6ejpTp04tt1XrWmacGz9+PJGRkWzdupU9e/aQkJDAggULGDZsGM8888xVt9+wYQOvvPIKjRs3ZvLkyQQFBaHX67FarUycOLHce3SjZsiLjo6mU6dObN26leTkZNavX8/SpUvp1q0b06dPB0oqvcuWLWPHjh3s3LmTXbt2MW3aNNtA8cp0LWzVqhWKopCUlISLiwvFxcW0bt2asLAwvL292blzJxkZGVit1iuOh6moG/l/4UpK9z106NDLVujL+xKjKnr16uUwk2Cp8mYdq+p7Sa/X88knn7Bv3z62b9/Orl27bO+BadOm0blz5yrttzLK+3yGin9WiDtY/tcQOR0Sdzo7kiqzAiqwvHEbpnXqD1ZrSSJzg5OZbrVgcT8NATJDmbgGksTcgmrVqsXx48dp2rTpVafgDQ8P55dffiElJeWKfcZr1qzJr7/+Sm5uLl5e9o/XPXz4MB4eHrZuNKUVnfK+nU9NTb2m6UWrmmwVFRVVaXayivL19cXLy4u8vLwKTSCwevVqatSowaxZs+wqrb/88ssNizE0NJQhQ4YwZMgQioqKmDhxIvPnz2fo0KH4+fld8dquXr0ag8FAbGysXaXs6NGjlY7jeiTMAQEB9O/fn/79+2OxWGwTWQwdOtTWuqTX62nfvj3t27cHYOvWrTz33HMsWrSIl19+ucLH8vPzo06dOuzYsQOtVktQUJDt2/X777+fnTt3kpmZiVarpWXLllfd3/X8wqCiSltZyjp8+DBwseWjtLVDo9FU6D18pfO43LrQ0FAURcFsNld5oo2qaNKkie3zLS0tjccff5w5c+bQuXNnfHx8qFatGgcPHrziPkrH4JVet7JKW5jKa0W6VGU/K8Qd7rtXnHfspiNgXyVad9WVDotK/3oNNJnIjo8H4FytEfznz4rv9n4XSHpOqpPi5pMU+BbUp08frFZruTNcAXb9M0tn3fnkk08wmUwOZUu/NezUqRNWq5Uvv/zSbv22bds4cOAAHTt2tFXGSytDO3bssCu7du1a0tPTq3ZSF5QmZeUlJOfOnSt3m1WrVmE0Gq+YpF0rjUZDz549+fPPP/npp5/KLVO2K45Wq0VRFLtv1s1ms8P1vR6MRqND9y+DwWCbkKD0WpZe2/K6LJXe27ItRKqq8vnnn1c6ntJpeqvSNap01rmytFqtrTtk6bmUNwaqdBaxqhy3devWHDx4kI0bN9oN3G/dujV//PEHv/zyC40aNXLoSlAed3d3cnJybmiryqXWrl3LmTNnbL+bTCYWL16MVqu1JXkNGzakbt26rFixgpMnTzrsw2w22127K93Hy63z8fHhwQcfZMOGDfzxxx8O26mqSmZmZhXOsHzlvQ+CgoLw9fW1xabRaOjRoweHDx/m22+/LTcmKElmmzVrxpYtWzh06JDd+vgLlbeKtOxU9rNCiBvmj/hyExMH0/9VsXIXvNgV1MkuqJMrlphYZHIx4SSSOt+CunbtSr9+/Vi6dCl///03HTp0wMfHh7Nnz/L7779z8uRJW3/0Jk2aMHz4cObNm8fjjz9O9+7d8ff3JzU1lfXr1zNv3jy8vLzo168fq1atYt68eaSmptKyZUtOnDjB8uXL8ff3Z8KECbbj165dmzZt2rBy5UpUVaVBgwakpKSwadMmatWq5VChrozSRGTWrFn06tULvV5P3bp1qVevHs8++yze3t40a9aM4OBgjEYje/bsYfPmzQQFBdlNJXsjTJgwgb179/LKK6+wfv16mjZtik6n4/Tp02zbto177rnHNuNQly5dmD17Ns888wydO3cmLy+PH3744YY8BC8pKYl33nmHhx9+mPDwcNzd3fnrr79ISEigSZMmtmQmIiICDw8Pli9fjqurK15eXvj5+dG6dWu6dOlim3K7T58+mM1mNm/e7JBQVETTpk1ZunQp7777Lu3bt8fFxYUmTZpU6FvsY8eOMXr0aDp37kzdunXx8vLi6NGjLF++nJo1a9qmhp4wYQJeXl60aNGCoKAgcnNzSUxMRFGUKs2K1qpVK77++muOHTtmN7lF69atMZlMnDx58rLjGy7VpEkTfv75Z9577z2aNWuGRqOhdevWVR5PVhFhYWH8+9//JioqCnd3d9auXcv+/ft56qmnbH28FUXhrbfeYty4cfzrX/+yjTkqLCy0Tbn+9NNP2571cqX7eKV1U6ZM4amnnmLUqFH06dOHhg0bYrVaOXXqFFu2bKF3794Vfv7R1Xz++eds376d9u3bU7NmTVRV5eeff+bo0aN2zxQaN24cO3fuZNq0afz222/cd999ALbxX6Wzi02ePJnRo0czatQo2xTLW7du5ddff6Vnz54OM5NdTmU+K4S44SqRoFR615NdrvogS1P5vcyFuOEkiblFvfHGG7Rq1YpvvvmGL7/8EpPJhL+/P40aNbJLOKBkKuX69euzdOlS5s+fj9VqJSgoiAcffNDWdcjFxYXZs2fbHna5ceNGvLy86NKlC+PHj3cY7PbWW2/xv//9j7Vr17J69WpatGjB3LlzmT59+jXNxNG8eXMmTpzIypUrmTZtGhaLhVGjRlGvXj0GDBjAhg0b+Pbbb8nKysLFxYXQ0FCGDx/O0KFDr3nWqKvx9PTkiy++YOHChaxbt44tW7ag1WqpXr06zZs3p3///rayTzzxBKqqkpCQwAcffIC/vz/dunUjMjKSQYMGXde46tevT+fOnUlOTmbt2rVYLBaCg4MZMWKE3cxJrq6uvPPOO8yZM4cZM2ZQXFxMy5Ytad26NT169CA/P5/Fixczc+ZMvLy86NixI08//TRdunSpVDw9evTgwIED/Pjjj6xfvx6r1cobb7xRoSQmKCiIyMhIkpOT2bRpEyaTicDAQAYMGMDw4cNt79fo6GjWrVvHypUryc7Oxtvbm4YNG/LSSy9V+CGJZd1///1otVosFovd9rVr1yYwMJD09PQK7/fxxx/n1KlTrF+/nhUrVmC1Wpk7d+4NTWIeffRR8vLyWLJkie1hly+88AL/+te/7Mo1bNiQRYsWER8fz5YtW1ixYgUeHh6EhITQr18/uzE/V7qPV1oXHBzMwoULmTdvHps3b2bNmjXo9XqCgoLo0KGDw0yA1+Khhx7i3Llz/PTTT2RkZGAwGKhVqxavvfYajzzyiK1ctWrViI+P54svvmDjxo1s3LgRDw8PIiIi7CZruPfee/niiy+IjY1l+fLltoddTpw40WEWsiupzGeFEHc6g7TECCdR1JvZJ0IIIYQQQtxSSp+fBCWzQ1768OMrtcb0rg7fD5PvxK9FrjLp6oUu8FJn3MBIbi/yrhNCCCGEEFUS5ObsCG5/MsVy1UgSI2472dnZ5U5iUJarq2uFBmk7U35+vu0BjJej1Wrx9fW9SRFVXWFhIUaj8arlAgICrsvxbudrZ7FYKjT43dvb2+Hb0DvFnfJ/WAgBGulOJpxEkhhx23nxxRfZtWvXFcv07dv3lh9Yu2DBAuLi4q5YJiQkhMTExJsUUdWtW7eON99886rlkpKSrsvxbudrd+bMGSIjI69abu7cuVUa/3M7uFP+DwshILvy88MIcV1IEiNuO88///xVnxkTGBh4k6Kpuj59+tC8efMrlinvwYG3onbt2hETE3PTjnc7Xzt/f/8KXasGDRrchGic4075PyyEENeHdCerCklixG3nnnvucXYI10VoaGilnjx/KwsICLhuXcUq4na+dgaD4a5/SOKd8n9YCAG+0utTOIk87FIIIYQQQlSJteqPjhPimkgSI4QQQgghqqRbPWdHIO5W0p1MCCGEEEJcljtwufkgH20mVclrJVMsV420xAghhBBCiMvKmyyJirj1SBIjhBBCCCGuSL0kkdn0iOMyIW4mefcJIYQQQoirkqTlxpDuZFUjLTFCCCGEEEKI24okMUIIIYQQQojbirQLCiGEEEII4TTSnawqpCVGCCGEEEIIcVuRlhghhBBCCAHAsPm5LDumw9tkpVCrId9Fw5wOFsZ2qebs0ISwIy0xQgghhBACgLUpGjw0GjK83cn3dEWrd2Hcz1pnhyWEA0lihBBCCCEEE/7uj4eikOOqLxmmoYBFq0Grc8H7mRPODu+OpVbiJS6SJEYIIYQQQqDTupDlrncYZ27RKuT6+DonKCEuQ8bECCGEEEIIdKoFVVVBVcF6YWHp191mk7PCEqJcksQIIYQQQghMKFgtKpjKdFyyAFrwLpQk5kZRZYrlKpHuZEIIIYQQgoCsbIpcyhnEr0K+XqqM4tYi70ghhBBCCIHZ1a38FSoYLDKsXNxaJIkRQgghhBDoLMUo5fVsUiBXr7vp8QhxJTImRgghhBBCkK/VoWouZDG2gf1KyVfeWklibhwZE1MV0hIjhBBCCHGXs1qh05Gz6MxW0CoXkpcyCY0K2kmnnRqjEGVJEiOEEDfJ6NGj6devn7PDuGZTp06lVatWzg6jypKSkmjVqhWJiYlXXCbE3WTriqasq1cL75wCKG/8i16LVe968wMT4jIkiRFC3LVyc3OJjY0lKSnJaTEkJiayePFipx1fXLvFixdL8iNue+4WBdVFS6anK+V2b1IUwgoK0b6ScdNju9OpKBV+iYskiRFC3LVyc3OJi4sjOTnZaTEkJiby1VdfOe34okTLli3Ztm0bvXv3rvS2X331lSQx4raX6WnA7OaCxVDOFMuAW2EhxRaFRrnFuL2aQ05O0U2OUAh7MrBfCHHLy8vLw8PDw9lhiDuYRqPBYDA4OwwhAFiRbCZ6I9QD8oDTF3p3/cvHyhdPaEg/b2H99mzSUjMJ1Bfz+LBGuLqVP/DebDZz7JSJ517fSN09B7C4euCam4GnUsSvNe6h0/k01tzXjlP1QjF5GXArNlOg0WLXGmOxUmDVYKrmwRl3HRqzBe8PzKhvyv8Z4TySxAghbBITE3nzzTeZM2cOf//9N8uXL+fs2bOEhIQwcuRI+vbta1f+t99+Y/78+fz5558UFxcTFhZGdHQ00dHRduW2b99OQkIC+/fv59y5c+h0Oho3bszIkSO5//777cqOHj2a06dPM2fOHGbNmkVSUhI5OTm2Ll/nzp0jLi6OrVu3cv78eXx8fOjQoQPjxo3Dz8/Ptp/s7Gw+++wztmzZQnp6Om5uboSEhNC9e3eGDRtGUlISY8eOBSAuLo64uDgAQkJCKvWt+o8//siaNWtISUkhIyMDd3d3mjdvztixY6lfv/4Vt+3Xrx+nT5cMlC07xmTu3LmVGnNS0WsSGxtLXFwcy5cv5/vvv+f7778nMzOT2rVrM2HCBNq3b2+336KiIubOncuaNWvIzc2lbt26jB8/vsJxXSotLY3Y2Fh27tzJ+fPn8fT0pFatWgwcOND23rJarXz99dd89913pKamoigK/v7+NG/enFdffRUXl8r92dq0aROffvopR48exdfXl759+9KiRQuHcqXvhzfeeMM2bqkisZTep9OnT9vds++++44aNWpU9VKJq/h0j4XnN6nkm50dyY11qPSHC/nEV1kKX32sAhp0Zi/mrPyKobu3ohmvcsg3kAmPjOBwQAjZbu5orFbOe3hh1mgJyM3j72Vf4VeQB8BZj2r8t9tgAlxd+W+XRzBrtbQ/epa+vx0ARUP4uVQK1Fxee6gHqlUFa0kWZQZQNFj0GrBaUd4sAJ0CWg2KovBdlJa+daWTT2VJN7GqkSRGCOEgJiaGoqIiBg4ciF6vZ/ny5UydOpXQ0FCaN28OwMqVK5k+fTpNmzZl5MiRuLm58dtvv/Huu+9y6tQpnn32Wdv+EhMTyc7Opnfv3gQFBXH27FkSEhIYP348c+fOdahU5ufnM2bMGJo1a8b48ePJyCjpg52WlsaIESMwmUw88sgjhIaGcuLECVasWEFSUhILFizA09MTgClTprBr1y6ioqKoX78+RUVFHDlyhOTkZIYNG0ZERASTJk1ixowZdO7cmc6dOwPg7u5eqWu1dOlSvL29GTBgAAEBAZw8eZJvvvmGJ598koULFxIWFnbZbV944QVmz55NVlYWkyZNsi2PiIio8PErc01KTZ06FRcXF4YOHYrJZOKrr75i8uTJrFy50q7i/Z///IdNmzbRoUMH2rVrx8mTJ3nxxRerVDk3m81MmDCB9PR0oqOjCQsLw2g0cujQIXbv3m1LYr744gvmzp1Lhw4diIqKQqPRkJqaypYtWyguLq5UErNx40ZeeuklatSowVNPPYVWqyUxMZGtW7dWaPuKxPLWW28xY8YMfHx8GDlypG1bX1/fyl0gUWHfHbIy5qe79MGLZR7iYtLpaHDuDAaLBYB6589gdHXnUGCIw2bDd23B/0ICAxCUl8Pkn1fR8OVZANTNyOX+tExQShKQYwE1uO/EQSb+splZbTrY7UtTZMLqpgeNBlQLmFTQggr0W2Fh5zCFVsFSKRc3niQxQggHxcXFzJ8/H52upHtCly5deOSRR1i6dCnNmzfn3LlzvP/++3Tv3p133nnHtt2gQYN4//33WbRoEVFRUYSGhgLw2muv4eZm/yToqKgoBg8eTHx8vEMSk52dTVRUlMO3/u+99x5ms5lFixYRFBRkW961a1dGjBjBokWLGDNmDEajkZ07dxIdHc1LL71U7jn6+/vTqVMnZsyYQb169ao0FgLg448/dji3Pn368Nhjj7F48WKmTJly2W07derE4sWLKSoqqvLxK3pNyvLx8eHDDz9EuVAhatWqFcOHD2flypU8/fTTQEnr2aZNm+jbty9Tp061bduyZUsmT55c6TiPHDnCsWPHmDhxIsOHD79suY0bNxIREcGHH35ot3zixImVOp7FYuH999+nWrVqzJs3Dx8fH6DkfTdkyJAK7aMisfTu3Zs5c+bg5+dX5XsoKufz361XL3QX0FosPHD8oO33Yz4B/BLRqNyyff/a5bBMb7nYjBWWleew/mD1UPr+volZnR8GnaYkSyk0oy8yU+hGSUKlKLZWGlRAgUX7rbQKLn9cjRDXk7T5CSEcDBo0yJbAAFSvXp2wsDBOnDgBwE8//URxcTGPPPIIWVlZdq8OHTpgtVrZsWOHbfuylfz8/HyysrLQarU0adKEP//8s9wYnnjiCbvfjUYjW7dupWPHjhgMBrtj1qhRg9DQUH777TcADAYDer2effv2kZqaet2uS3lKz01VVYxGI1lZWfj6+hIeHs6+fftu6LErc03KGjJkiC2BAWjcuDHu7u4cP37ctmzTpk2A433o1KkT4eHhlY61tDUoOTnZ1rJ2uXJnz55lz549lT5GWX/99RdnzpwhMjLSlsCU7j8qKqpC+7hesThTRkYGRUUXB2AbjUZyc3NtvxcXF3P+/Hm7bUq7OF7u97S0NFT1YkvIzT6Gp76cE70LWTQacgwXP1s9iovQXmiVudQx3wCHZWXbSrLcHC9qgDGb815eoNeWJCsaBdx1BBUVXjEuD93t+b66XscQN4+0xAghHNSsWdNhmbe3N2lpaQAcPXoU4IrjI8pWVE+ePElMTAzbt2+3+wMB2FWmS/n6+uLl5WW37OjRo1itVhISEkhISLhi3DqdjkmTJvHBBx8QGRlJnTp1aNWqFZ06daJNmzaXjbkq/v77b+bOnUtycjIFBQXlxnOjVOaalFXaQlaWt7c32dnZtt9PnTqFRqMpN2GJiIjg2LFjlYq1dFzVl19+Sc+ePWnQoAGtW7ema9euNG7c2FZuwoQJTJ48maeeeorAwEDuv/9+2rdvT5cuXewS66s5deoUwGXjr4jrFYszlR0TBTh0LdTr9fj7+9stCwkJueLvwcHBTj3G8620fP23hbu+PUZR+DW8Pn3/3g1AQH4uj+3eyoJWDzkUfbdzf/61ext6a0mSowLVCvIwmIop0un5M9Cbe9KzCcwvBkBnNtExJZmxAwc67MvocWEwv2oFVQHtxaTARYGnmmnQ67W33fvqeh1D3DySxAghHGg05TfSln6DVfrvm2++SUCA4zd8cLHynJ+fz6hRoygoKOBf//oX9erVw8PDA0VR+PLLL9m5c6fDtq6ul3+gWq9evRwmGChVdnap6OhoOnXqxNatW0lOTmb9+vUsXbqUbt26MX369MvuvzLS0tIYPXo0Hh4ePPnkk9SuXRtXV1cUReGDDz5wSGpulIpek1JXu783yvjx44mMjGTr1q3s2bOHhIQEFixYwLBhw3jmmWcAaNasGd9++y2//vorSUlJJCcns3btWj7//HM+++wzvL29b2iMZd1KsYiLWgUr7ByqYfSPVnadLamQ35HUy/5i83+dIjFptAQbs9hauxG/htal+ckj+BTmkafTsS8kHItGi4vFzH+6DWbkrs1oVJUpPYfgl1/AzO/m8ULvx3EpVtji58u9ZHJ/2gkKXMz0H/Zvcl3dHI6Z4e4KFmvJSwUMJV9E1a4GPw5xoba3jIcRN4ckMUKISqtVqxZQMraibdu2Vyy7Y8cO0tPTef3114mMjLRbN2fOnAofMzQ0FEVRMJvNVz1mqYCAAPr370///v2xWCy8/vrr/PDDDwwdOpTGjRuX2wpUGRs3biQ/P58ZM2Y4zCaWnZ2NXn/1fi/XEkNVrklF1axZE6vVyrFjx6hbt67duiNHjlR5v6GhoQwZMoQhQ4ZQVFTExIkTmT9/PkOHDrV9K+ru7k6XLl3o0qULAMuWLeP//u//SEhIYNiwYRWOHyi3xagy8Vcklmt9H4nKaxmsIWmY9IiH+y68oB3w4mXL1bvwGgTAN2XWPDj/F95Ynk1Arh5ftZj/b3Mcr3eN5pSvr8MzLzUWK9ZiFRRQLBasb9m3XAhxM8kngBCi0rp164Zeryc2NpbCQsf+0UajkeLikm4JWm3JAM9Lv+Xfvn17pcaM+Pj48OCDD7Jhwwb++OMPh/WqqpKZmQlAYWGhQ1xardY25XFOTg5wcTxL6e+VVdqicem5ffPNNw79qC/H3d2dnJycKrWCVOaaVNZDD5V0SVmwYIHd8k2bNlW6KxmUvCfMZvv5cA0GA7Vr1wYu3oOsrCyHbRs1amRXpiLuuecegoKC+O677+z2aTQaWbFiRYX2UdFY3NzcqvweEsLZmgz7f3y9oisROXnEPNCONx8eyLSu0Q4JDKqK1aTiZjbhnZcvCcx1pKJU+CUukpYYIUSlBQUFMWXKFKZNm8agQYPo3bs3ISEhZGZmcujQITZt2sSyZcuoUaMGzZs3x9/fn48++ojTp09TvXp1UlJSWL16NfXq1ePQoUNXP+AFU6ZM4amnnmLUqFH06dOHhg0bYrVaOXXqFFu2bKF3796MGTOGY8eOMXr0aDp37kzdunXx8vLi6NGjLF++nJo1a9pmQ/Px8aFWrVr8+OOPhIaG4ufnh5ubGx07dqxQPA8++CAff/wxr7/+OoMHD8bLy4u9e/fyyy+/EBoaiuUyg2zLatKkCT///DPvvfcezZo1Q6PR0Lp1a4e+2td6TSqrXbt2dOjQgVWrVpGdnc3/+3//j5MnT7Jy5Urq1q3LP//8U6n9JSUl8c477/Dwww8THh6Ou7s7f/31FwkJCTRp0sSWzERHR9O0aVMaN25MYGAg586d45tvvkGn09G9e/cKH0+r1fL888/zyiuvMHz4cPr3749Wq+W7776zG991JRWNpWnTpiQkJDBnzhwiIiJQFIWOHTs6zFonxK0sz+BBgV7H1G6D7aZytlEU6p45yz+uOvI/kHEgwvkkiRFCVElkZCRhYWEsXLiQlStXkpubi4+PD+Hh4YwbN842GNLLy4vZs2cza9YslixZgsVioVGjRsycOZOEhIRKJTHBwcEsXLiQefPmsXnzZtasWYNerycoKIgOHTrQrVs3oCTJioyMJDk5mU2bNmEymQgMDGTAgAEMHz7cbszN22+/zYwZM4iJiaGwsJCQkJAKJzGhoaHMmjWLmJgY4uPj0Wg03HfffcTGxvLee+9VaNaaxx9/nFOnTrF+/XpWrFiB1Wpl7ty5FU5iKnpNqmL69OnMmTOHtWvXsmPHDurWrcv//vc/1q5dW+kkpn79+nTu3Nk2rsRisRAcHMyIESMYOnSordzQoUPZtm0bS5YswWg04ufnR5MmTRgxYgQNGjSo1DG7du2KRqPhs88+49NPP8XPz8/2sMvSqaSvpKKxjB8/nuzsbJYtW0Zubi6qqvLdd99JEiNuKwd0enzzCjnnfplJK1SVdL0B9YOg8tcLcZMp6o0eySmEEEIIIW5ZJpOJ+Ph4vvqpNZuaNro4rXIpVQWLFb+jRzn/afnPohFVd1b5b4XLVlffvoGR3F6kJUYIIYQQQnDANwB0WiiylIyJ0SgXX0VWSWDELUWSGCGEuERmZuZVx7O4u7vj7u5+Q46fn59Pfn7+FctotVp8fX1vyPEr42bHajQay51MoiydTifTHwtRBVm+XlBkhpziiwsVwM8VCguBG/OZJ0RVSBIjhBCXGDZs2FXHs4waNapKA+YrYsGCBcTFxV2xTEhICImJiTfk+JVxs2N9//33WbVq1RXLtGzZkk8//fS6HE+Iu4lXvpFCixcdT/xN92N/csinOosbPUBRrhatTCUubjGSxAghxCXefvttioqKrlim9DkkN0KfPn1o3rz5FcuU9xBLZ7jZsQ4bNoxevXpdsUy1atWu2/GEuJt4FJoYsXsV7269OA356N83037YayhW8xW2FNdGEsSqkCRGCCEucbVK+Y0WGhpKaGioU2OoqJsda506dahTp85NO54QdxOdauXVHd/bLXsg7TB9jv3BHz4hQKBzAhOiHPKwSyGEEEIIgUlRqVbsOOasRn42R6r5OyEiIS5PkhghhBBCCEGmpw9/BNm3dBZrtGwKbwJaeSLHjaJW4iUukiRGCCGEEEJgLC7kja4j2V7rXsyKhqM+Qfy32ygOVa8O5uKr70CIm0jGxAghhBBCCGKarebtff2Z3HsCLiqYFTjo54G5WEX9X7CzwxPCjiQxQgghhBACgMMf+OL2n1zctVrydS5YzCbUt2XGP3HrkSRGCCGEEELYmN/zc3YIdxVVpliuEhkTI4QQQgghhLitSBIjhBBCCCGEuK1IdzIhhBBCCCGcRLqTVY20xAghhBBCCCFuK9ISI4QQQggh7GQqT+CGHgUrZorwUBc7OyQh7EhLjBBCCCGEsMlVRuCG64VKogsqvhQpI5wc1Z1MqcRLlJIkRgghhBBC2OjRoqcIHSb0FOFOLsW4kakMcnZoQthIEiOEEEIIIQDInvM9LpgAUC+8FMBAMXrcnBmaEHYkiRFCCCGEEABkzd6MCljRlnmBBjNWzM4OTwgbGdgvhBBCCCEA8D6Yj4oWLWbbCIySpEZGZNwoMsVy1UhLjBBCCCGEAMCKFxqsdtVqGVYubkWSxAghhBBCCAC8yKak7QUutsEAKKjonBOUEOWQ7mRCCCGEEAIADcVY0KPBCFhQKOnuZKKas0O7Y6lXLyLKIS0xQgghhBACACs6TGhQLiQwUNIG40ouUm0UtxJ5NwohhBBCCADMaDGQ77BcwYobRidEJET5JIkRQgghhBAAaFFQy60eKihYbno8QlyOjIkRQtw0SUlJjB07FoBBgwbx8ssvO5TJyMigd+/emM1mWrZsyaeffnpDY2rVqtUV13/22Wc0b9680vtNSkoiOTmZxx57DC8vL4f1KSkpfPnll+zfv5+zZ8/i5uZGYGAgTZs2JSoqikaNGlX6mLe61NRUEhMT6dSpEw0bNrxhx9m0aRMHDhxgzJgxN+wYQtyJ2o7ZjxYTVvSoFKJcGK2hAgV440IBRmUofupC5wZ6h5EplqtGkhghxE1nMBj44YcfeP7559Hr9XbrVq9ejaqqaLXamxZPgwYNGDp0aLnrwsPDq7TP5ORk4uLi6Nevn0MS8/PPPzN58mR8fHzo06cPtWrVIjc3l+PHj7Nt2zbCwsLu2CQmLi6OGjVq3PAkZtWqVZLECFFJrnigJwMzpZ+/JTOTKYAr2WQShisZTotPiLIkiRFC3HSdOnXihx9+YPPmzXTr1s1u3XfffceDDz7Izp07b1o81atXp3fv3jfteLNnz8ZgMDB//nyCgoLs1lmtVrKzs29aLHeSvLw8PDw8nB2GEFU2bL4RH4OGWY+63/Rj+y79Bz8KycUTT7IACyqg4kJJJzMzruRSjCfyv0zcCiSJEULcdI0aNeLw4cMkJibaJTH79u3j8OHDjB8/3iGJ2b59OwkJCezfv59z586h0+lo3LgxI0eO5P7777eV+/vvvxk5ciTNmzcnJiYGRSlpprdYLIwdO5b9+/czb9486tWrV+m4+/XrR0hICK+++ioffvghu3fvRlEU2rZty0svvURAQAAAU6dOZdWqVQBERkbath81ahRjxozhxIkT1K1b1yGBAdBoNPj6+josX79+PUuWLCElJQWTyURQUBDt2rXjueeeQ6fTYbVaiY+PZ/v27Rw/fpzs7Gz8/f1p374948aNw8fHx7av1NRUIiMjGTVqFPfeey9xcXEcOnQILy8vevfuzYQJE3Bxqdyfh7S0NGJjY9m5cyfnz5/H09OTWrVqMXDgQPr27UtiYiJvvvkmAG+++abt59Iug1WNPyIigvnz53PkyBG6detGamoqu3btAuy7Cr7xxhv069evQueSnZ3NZ599xpYtW0hPT8fNzY2QkBC6d+/OsGHDbOVWrVrF0qVLOX78OGazGX9/f5o2bcoLL7xQ7j0Ut5/zBSofJltZe1jFRQOFZjiUpVJQpGJVVVA0lX8KpMWKa4GJYrOK1aKCqxbcdKBRAAOGYjPzXsshzwwWjQZP1cojh08SaszHpNVyuJoXWlSKXLTs9vMiIK+QOtm5ZHi4YTS40PR8Dv4FJvK1Wg57e2HUarEUF/PA8dOEG414Z+Xjlm9CUVU0xRb88orQmUw0UEPIwgTAOcyE8DcGVFTKtpYrWNGTrUwEFDRYMJDPMbdgCr4YS+OBtdDqZbh15Ul3sqqQJEYI4RSRkZF8+OGHnD17lurVqwMlrTB+fn60b9/eoXxiYiLZ2dn07t2boKAgzp49S0JCAuPHj2fu3Lm0aNECKEmQnnnmGd5//32+/PJLRowYAUBcXBy7d+/mlVdecUhgzGYzWVlZ5cZZtvIMkJ6ezpgxY+jUqRPPPPMMBw8eZOXKleTl5RETEwPAwIEDycvLY+PGjUyaNMm2j/r16wMQGhrK4cOH2bt3L/fdd99Vr1VMTAzx8fHUqVOHxx57jICAAE6ePMmGDRsYO3YsOp0Ok8nEggULePjhh3nooYdwdXVl//79JCQksGfPHhYuXIhOZ/+gum3btrF8+XKioqKIjIxk8+bNLFiwAC8vL0aOHHnVuMpevwkTJpCenk50dDRhYWEYjUYOHTrE7t276du3Ly1atGDEiBHEx8czYMAA2/3y8/MDqFL8mzdvZsmSJURFRREVFYWHhwfVqlVDVVV2797NW2+9ZSvbrFmzCp/PlClT2LVrF1FRUdSvX5+ioiKOHDlCcnKyLYn5/vvvmTp1Ki1atGDs2LEYDAbOnDnDtm3byMjIkCTmDlBoVnlwsYUDmZeuUUCrgEUtqXtqKlkB1WgoNJpKtvfQl7yUi/sosqgUmS78YrES+c9xGuZcmBXMZOa+omKMbm6ccTXQ6tQ5Hjh73rbtSS934v7fvQzYf5JzBjcURcENwM2Nr5s04NX1v+GZV3wxFK2Cu8kEqhV3TLblVlzIIozqnL54PXAnF19AoRgPtBTjggnQElGQStIzX7Nme1f6fnTxSyUhbiRJYoQQTtGrVy9mzZrFqlWrGDlyJIWFhfz444/079+/3FaA1157DTc3N7tlUVFRDB48mPj4eFulGGDIkCHs2LGDuXPn0qpVK4qKivjiiy94+OGHiYqKctj39u3b6dq1q8NyNzc3fv75Z7tlJ06cYPr06XYtSBqNhmXLlnH06FFq165Ns2bNqFevHhs3bqRTp07UqFHDbh+jR4/mlVde4cknn6RevXo0a9aMxo0b07p1a4ey+/btIz4+nlatWjFz5kwMBoNt3cSJE20/6/V61q5di6urq932zZo1Y9q0aWzatMmh697hw4dZunSp7ZhRUVE8+uijLFmypFJJzJEjRzh27BgTJ05k+PDh5ZYJDQ2lbdu2xMfH06xZM4fue1WJ/59//uHrr78mIiLCbvnatWvZvXt3lboIGo1Gdu7cSXR0NC+99NJly23atAkPDw/mzJlj934tnbhC3P4SDqnlJDAXqGrJaHdtFb5BL7iQwGgU8NDZJTAAZScA8yo20SjHflpjrariYrHwZzUPog4dtVsXmptP7YxcUj09MJjtH6EYbLXiYyy0W2bVash11eNbUHZKZRU9RWjKJDUAeVSjbIuBBT168inGHVfyaZn+F59uuY/MI0Z8IzwrdCmEuBbS5ieEcAofHx86duxo63a1ceNGjEajXferssomMPn5+WRlZaHVamnSpAl//vmnQ/k33niDgIAA/vOf//D6668TFBTEf//733L33aRJE2JiYhxeH374oUPZwMBAh8p0abelEydOVOjcu3btSlxcHF26dOHMmTOsXLmSt99+m8jISCZNmkRm5sWa09q1awF4+umn7RIYAEVRbN3lFEWxJQAWi4Xc3FyysrJo3bo1UJIMXerSBEtRFFq1asX58+fJz3d8TsTleHqWVFiSk5PJyKjaoN+qxN++fXuHBOZaGQwG9Ho9+/btIzU19bLlPD09KSwsZOvWrajqrfu87YyMDIqKimy/G41GcnNzbb8XFxdz/vx5u21Onz59xd/T0tLszvlOPcbZnCJuCGuZ98ulCQyUJEi29ZffjaqqaMt567mZLFjL2VCxqugsVsdwNApFSkkrpxYTNTlKTY4SwBnKPkveiuNkK2WnYi6dyaw4z3zb3vPrcYyqUFEq/BIXSUuMEMJp+vXrx3PPPceePXv47rvvaNy4MXXq1Cm37MmTJ4mJiWH79u12f2QAW0W+LG9vb15//XUmTJgAlEyVXN5Ux1CSULVt27ZCMdesWbPcYwGVGpDfvHlzmjdvjqqqHD9+nKSkJJYvX86WLVv473//y+zZswE4fvw4iqLYuqJdybp161i4cCEHDhzAbDbbrcvJyan0ubi7V2xwcUhICCNHjuTLL7+kZ8+eNGjQgNatW9O1a1caN25coX1UJf6wsLAK77uidDodkyZN4oMPPiAyMpI6derQqlUrOnXqRJs2bWzlRowYwa5du5g8eTLe3t60bNmSBx98kG7dut1SkwuUdtcrVZpwltLr9fj7+9stCwkJueLvwcHBd8UxHm3syqu/WjDaN0iUUBRQ1JKEo7xE5ErcdJBdVJLMFJpBZz9DY9n95ep0/OXtxT3ZFz/zLIqCWaslvKCIY57uhBsvfuFQ4KLlQHUfuh1Ko0Brv99UnZZsdwN+eWVaY1QVz8JiClUdObhSl1PoKanUqygomCmpKioYyKfIbki/iooGFwpRsHDKrTo+tT2ofq83ika5Le/59TiGuHkkiRFCOE27du2oXr06n376KUlJSUyZMqXccvn5+YwaNYqCggL+9a9/Ua9ePTw8PFAUhS+//PKyM5lt2bLF9nNKSkqVnvdyKY3m8g3YVflGXlEUwsPDCQ8Pp2/fvgwePJjt27dz5swZ28D/si0ul7NhwwZeeeUVGjduzOTJkwkKCkKv12O1Wpk4cWK5sV3Pcxk/fjyRkZFs3bqVPXv2kJCQwIIFCxg2bBjPPPPMVbevSvyXdj27XqKjo+nUqRNbt24lOTmZ9evXs3TpUrp168b06dOBkgRq2bJl7Nixg507d7Jr1y6mTZtGbGwscXFxhIaG3pDYxM1T3UNh3SAtz220sPdsyTJVLRmzgkpJK4mVkmSmMnmMBnTV9JgKzGAsLklaXLWgUUpaS1yg2EUD5pJWk5V1ajLoyCnCc/PINBjYGehHRH4hXhYLm2qF0Dz9PHWyjZz1cGVb7RA6Hk6jwflsjBcmAcjTaik0mYg+8A9F1QwUmUzoi0v6rCkWK8VaLQbVRCae6K0FJed5YbYCFS0l7S3FeHOWbAIowhMFCzryccGKG1nkY2D/048R+WxDlMqOERKiiiSJEUI4jVarpU+fPsTHx2MwGOjRo0e55Xbs2EF6ejqvv/66Q3ezOXPmlLtN6aDvfv36cfLkSWbOnEnLli2rNCtZVVwt6SiPwWCgQYMGnDp1ivT0dIKCgggPD+eXX34hJSWFJk2aXHbb1atXYzAYiI2NtavcHz16tCrhV0loaChDhgxhyJAhFBUVMXHiRObPn8/QoUPx8/O74jW5nvFX5dpfKiAggP79+9O/f38sFguvv/46P/zwA0OHDrW1Lun1etq3b2+biGLr1q0899xzLFq0qNwHuYrbzwM1FLY/fiOqShdbSQ6fLqLuh9ng6YpqVrBooJqlmJz8QjBZiaxjYcwQXz5crCH1bDHFZ9LZ7aon282ALj+bzT7ufO/njlfWOZ4POMXA0YH8uDSbGqHu3NfZj/A6pV1GL3a9tFqtbFv4G7sm/E2utwHvbCPBxWmY0aHDjH1WpmDBgBUNOiy4coaCXr74r55hK6EDet2AqyTElUgSI4RwqqioKFxcXKhZs6ZDU36p0gdfXvpt/Pbt28sdK3H27FneeustIiIiePnll8nKyuKxxx7j1VdfZf78+TfsG/yySrti5eTkOAzW/+WXX2jXrp1DZTszM5Pff/8drVZLrVq1AOjRowdfffUVn3zyCTNnznSYoUtVVRRFsbWqWK1Wu3Wff/75dT+3SxmNRlxdXe0GuBsMBmrXrs2uXbvIycnBz8/Pdk3K63Z3PeMvHT+VnZ1t6x5XUYWFJV1tyr5HtFot9evX54cffrB1a8vKynKYua70AaXynB9RGXVCDKjvBV61XPsWNa5S4mJX3LFv1LpiSY1GQ4dh7egwrB1QMjtgfHw8DcacxUCRw4DpkkYnBR1GVEz4r5571XhFxd26o+pubZLECCGcKjg4+KpPVm/evDn+/v589NFHnD59murVq5OSksLq1aupV68ehw4dspW1Wq289tprFBYWMn36dFxdXQkODua///0vL774Ih988AH/+c9/7PZ/9uxZVq9eXe6xmzVrVqWuQaWtJrNmzaJXr17o9Xrq1q1LvXr1ePnll21TSUdERODi4sKpU6dYvXo158+fZ9SoUbbKd5MmTRg+fDjz5s3j8ccfp3v37vj7+5Oamsr69euZN28eXl5edOnSxTblcp8+fTCbzWzevNlWKb+RkpKSeOedd3j44YcJDw/H3d2dv/76i4SEBJo0aULt2rUBiIiIwMPDg+XLl+Pq6oqXlxd+fn60bt36usbftGlTli5dyrvvvkv79u1xcXGhSZMm5Y4ButSxY8cYPXo0nTt3pm7dunh5eXH06FGWL19OzZo1bbPgTZgwAS8vL1q0aEFQUBC5ubkkJiaiKMpNfXCqENdTGj5YMOCP/WD2kvExOjQUYaK8QUJC3HySxAghbnleXl7Mnj2bWbNmsWTJEiwWC40aNWLmzJkkJCTYJTGff/45u3btYsqUKXZdxzp37sygQYNYtmwZDzzwAF26dLGtS0lJ4fXXXy/32K+99lqVkpjmzZszceJEVq5cybRp07BYLIwaNYp69erxxhtvsG3bNnbu3Mnq1avJz8/H29ubRo0aMWnSJLvYoGQq5fr167N06VLmz5+P1WolKCiIBx980NZi0KNHD/Lz81m8eDEzZ87Ey8uLjh078vTTTzvs73qrX78+nTt3Jjk5mbVr12KxWAgODmbEiBEMHTrUVs7V1ZV33nmHOXPmMGPGDIqLi2nZsiWtW7e+rvH36NGDAwcO8OOPP7J+/XqsVitvvPFGhZKYoKAgIiMjSU5OZtOmTZhMJgIDAxkwYADDhw+3Xe/o6GjWrVvHypUrbS0+DRs25KWXXrJ7yKYQt5NfY0N4ZMzvWFDQXmgfUAELJS3AFtzwUOOdGKEQFynqrTw3pBBCCCGEuKFKu5MBPDpmB66ACVcs6LCiRU8xmgvpjJv6iVNjvRMdU/6/CpcNV1+9gZHcXqQlRgghhBBCAGDCEwUopFqZZa54kIMGx+fMCOEsksQIIYQoV35+/lUfeqnVavH19b1JEVVdYWEhRqPxquUCAgJuQjRC3LpcyKOI6pcs1WC+0MHMrbyNhHACSWKEEEKUa8GCBcTFxV2xTEhICImJiTcpoqpbt24db7755lXLJSUl3YRohLh1FeCDSzkPvrHggosM6r8h1Eo9aEiUkiRGCCFEufr06XPVB4QaDIabE8w1ateuHTExMc4OQ4hbnhU9JU/xLDvRcskDL4vQOikqIRxJEiOEEKJcoaGhd8yT5wMCAqSrmBAV4EYmGYTjTj4uWFBRMKGlGhkU4+7s8ISwufR5RkIIIYQQ4i6VQRH+pFKMnly8MKPgRzrgioECZ4cnhI0kMUIIIYQQAgD/TwbgQT4hnCSUowSQjhYrCgpceF6MuN6USrxEKUlihBBCCCEEAJ4juwGOjxBUsAKFNz0eIS5HkhghhBBCCFFCo8GMioKlzEILKire6iKnhSXEpSSJEUIIIYQQNm7Wz7BQCJiAYqyYyX+6g7PDumOplXiJi2R2MiGEEEIIYaMoCm7qfLtl8pBLcauRlhghhBBCCCHEbUWSGCGEEEIIIcRtRbqTCSGEEEII4SSqTJ1cJdISI4QQQgghhLitSEuMEEIIIYQo1xFlDHqNB/lWE/XVj50djhA20hIjhBBCCCEcnFOepib5BFtPUptMspUxzg7pjqSiVPglLpKWGCGEEEIIYeew8gwWDy/+ohlu+SaK3FwINx8gR5lALTXG2eEJIUmMEEIIIYSwp9NqyCwK4V7zfrzIpijflePa2tTioLNDEwKQJEYIIYQQQlzitEcojXL+phrZAOgpppHlT47pwqnm5NjuNNJNrGpkTIwQQgghhLDjZjbZEphSWix4mY1OikgIe5LECCGEEEIIOyH5qajlLLeq0olH3BokiRFCCCGEEHYUDBTgbbfMghardH0StwhJp4UQQgghhB0LWoz4Y8KAngIs6DChx5d0Z4d2xymvxUtcnSQxQgghhBDCTjEu6FEoxgMLekDBhAUPip0dmhCAJDFCCCGEEHed3k8cxN2qoGog32xmQGf79UbFA0+1EF9ybB3INOgwoUN/06MVwpEkMUIIIYQQdzDPFzPJc9GCVkGj0RB+Pos+eUW4Wq0oVivBp9Lx+tUDq6uGb/7ajOfWg/i4elC9INNuBIweE2b0HFfGEKbGOu187jwyzqgqZGC/EELchvr168fo0aOv+35Hjx5Nv379rvt+hRDOoZucSZ6igMEFtFr0qkpNC6R7upOt01L7UBr1U87ieR68TlkwrTyLS4qCVqNBTzFWFIoULRqK0FKMil6q3OKWIC0xQgghrpupU6eyatUq2+8ajQZvb2+aNGnCv//9b+677z4nRifE3aPYZMLw3zy0LhpqFhdzRmPArFHofPw8PkVmUBSM7u780aAWoSfOowAKCt5ZxWQFe7Knei2UvRYyzd6YFR0GazERRacJUk/jhs7ZpyeEJDFCCCGuvylTpuDu7k5xcTH//PMP33zzDb/88guffPIJ999/v7PDE+KOprx4DlwNKFoXLBqFUx4GQMGvoLgkgSkj29ud836eBGSUPMSyWDEwJro3z6/+lbOWAJQLzS5FGj2HDTXQF1qpxpmbfEZ3NlXatqpEkhghhBDXXdeuXfHx8bH93rx5c15++WXmz59/2yYxZrMZi8WCwWBwdijiLvDLSQuPfWvmWK4CqgoWK1gBRQGrtaRQ6dy8igIumpJyqgpeHlBgRrWq4KqhdMyFqpRfWVasKiadhjwvAxYFPpr3I1aLxqFqXazRUazoMKsGTivPkqPxpUDjiUE1U3NuV6o91epGXAohyiVJjBBC3CISExN58803iYmJYc+ePSQmJnL+/HnCw8MZMWIEPXr0cNjm6NGjfPjhh+zevRtFUWjbti0vvfQSAQEBACxatIgPP/yQ2bNn88ADD9htW1xcTK9evahfvz5z5869Ymy7du3is88+488//8RsNlO7dm0GDRpE//79K3Ru7dq1A+DEiRMVKl/qn3/+4dNPP+X3338nKyuLatWqUbt2bZ544gnat29vK2cymVi8eDE//PADx44dw8XFhbCwMPr27cujjz5qK5eamsqcOXP47bffyM3NpXr16nTv3p0nn3wSV1dXW7nY2Fji4uJYsmQJCQkJ/PTTT5w7d45PPvmEVq1aUVxczMKFC1m7di0nT55Er9fTokULxowZQ6NGjSp1jkJcasoGE/+3QwWtBnQXUgmLAiYrmC8kM2W5akCnLfnZqkKhuaSMRinZxwWZGg1n9S5UL77YGuObacS9qIjUMJ+S8oDWZKHm4SyHuDSqFZ1qQUcBVtw55+JLlos/AKZxmwn5YjeBv4y6TldBiCuTJEYIIW4xH3/8MQUFBURHRwMlyc1//vMfiouL7Qbdp6enM2bMGDp16sQzzzzDwYMHWblyJXl5ecTExADQp08fYmJi+O677xySmI0bN5KdnX3VRGTLli28+OKL+Pv7M3ToUNzd3fnxxx+ZNm0ap06dYsKECVc9p+PHjwPYtc5cTVZWFuPGjQMgKiqK4OBgsrKy+Ouvv9i3b58tiTGZTDz99NMkJyfzwAMP0KtXL/R6PYcOHWLjxo22JOb06dMMHz4co9FIdHQ0YWFhJCcnEx8fz969e/nkk09wcbH/s/jf//4Xg8HA448/jqIoBAQEYDabmThxIr///ju9e/dm8ODBGI1GvvnmG5588kni4uK49957K3yeQpRVZFZ5b4cKWgXKtpwoJaNWyn0yYpH1YhKjUUDRgK5MYqOqUGSG/GI2e7jTWCkk1GTC02xBtZhIq+WDRr24Y4tOS46fG77pRsKsZwg0Z1KsuKBRCvDGiDvn0OJN/WIzOy8kMad0gfj8egTrqWw0Nb1vzMURogxJYoQQ4haTlZXF119/jaenJwDR0dEMGTKEDz/8kG7dutlaDE6cOMH06dPp1q2bbVuNRsOyZcs4evQotWvXxsfHh86dO9sSFm/vi5WLhIQEqlWrRufOlzwgogyLxcJ7772Hm5sb8+bNIzAwEIDBgwczZswY5s2bR79+/QgLC7PbLjs7GyhJMA4ePMhHH30ElCRVFbV3714yMjIczvFSixcvJjk5mREjRjgkVFbrxa+sY2JiyMzM5KOPPrIlQIMGDWLmzJksWLCAVatWOSR0np6eDsnNokWLSE5O5uOPP7a1MEHJfXr00Uf56KOP+PTTTyt8njdSRkYGHh4eti5wRqMRVVXx8vICSlrjcnNz8ff3t21z+vRpQkJCLvt7WloaQUFBKBcq2HKM63uMg6eNqKqnfQIDJcmLqpafxFgvWai9MBuZopa0yFitUGTCRYGQIhMtc3JxL93GVV/SzUy134fZRUNd0ylCrWcvHh8Vd7LRoKLiQtlqpFXRYFE0WA9nYA50u2PuR2WPURUyJqZqZIplIYS4xURHR9sSGCipSEdFRZGTk0NycrJteWBgoEPlvlWrkj7pZbttDRgwgOLiYtasWWNblpqays6dO+nZs+cVx3j89ddfpKWlERkZaUtgAHQ6HcOGDcNqtbJ582aH7aKioujatSu9evXimWeeIT09naeffpqoqKgKX4fSa/DLL79gNBovW27t2rVUq1aNp556ymGdRlPyZ85qtbJlyxYaNmxo1w0N4N///jcajYZNmzY5bP/YY485tM6sWbOG2rVrc88995CVlWV7mc1m2rZty969eyksLKzwed5Ifn5+dvfX09PTVkED0Ov1dhU0wKFCdunvwcHBtkqgHOP6H6NJuB8eLjgkFShqSWJTXn3X5ZLqXGmCorswTqbQQqBFpWmhieoo7PP14ZxeT+DZLDps3Y9PRp7DLt1ziwiyni85NMUomAEFE26oKGQThFWxXIzdasJFNaFtFXpH3Y/KHkPcPNISI4QQt5jatWs7LIuIiADg1KlTtmU1a9Z0KFfa0lLaEgIliU1YWBjfffcdQ4YMAUq6qKmqetWuZKmpqQDUqVPHYV3dunUdYir13nvv4eHhgVarxdvbm4iICIdk4Gruv/9++vTpQ2JiImvWrOHee++lbdu2dOvWzS6e48eP07BhwysmY5mZmeTn55d7Ht7e3gQEBJR7Hpe2MAEcOXKEoqIiunbtetnjZWVlERwcfLVTFKJcPzyqoeNiK1YtJYmLeqFFRb3Qzcx8SYJjuJDEqCpYyqxTFDBZ0Fmt1Coy2fIfq6JwTtFw354jaFQVQ5EJq0Yhz8uAVaPBqtHglVOMC8W4cRYtxQCYcceKHit6dOTzp65ByeGtRYQXn8Ev/hEUN5l+WdwcksQIIcRtqrSVoTzqJd/iDhgwgJkzZ/LXX3/RsGFDEhMTuffee2nQoMENia1ly5aVGv9yOW+++SZPPPEEv/zyC7t372bhwoV88cUXTJo0yW7A/o1SdrB/WfXq1eP555+/7Ha+vr43KiRxF3gwzAXLFNh+0kz8HhP7z8OAevDtXyr70sxkapSSZEW5MPNYgRlcFDBbShIcjQZ0LiUtMhYVD4vVoQEn4kymbRyMRgX/9Dz80vM4dk/g/8/encdFVe4PHP+cGfZFdhFF1Fxz6bpgpilquSPumpplWC5llpmat8Wla7/20swtbrlbrgmomFx3LRckzdI0UwRRVECQRZaZOb8/iJFxBgVEEPm+X68p5jnPec535oxwvvMsh+rXrtAm9xgOXDMmMABWZGIglyTFhxuOtvg84YQhzYBX3wZ4Tg1G0coAn5KwNEJQ3J0kMUII8YCJiYkxKzt//jxgufelKIKCgliwYAGhoaF07NiRhIQEXnjhhbvul3+8c+fOmW3LLytpTEVVr1496tWrx/PPP09aWhojR47k66+/ZsiQISiKQq1atYiJiSEnJwcbGxuLbbi5ueHo6Gjxddy4cYPExMQiJ3Q1a9bk+vXrtG7d+o6JpBD36glfK57wvXWpNunJou13PTMb90/1kKWgaCBTq0HFdCRaup3lfytesYlk2NlzzsWDVqkxZttVVHSqhnpps4v+QoS4D+S3rxBCPGDWr19vMgckPT2dDRs24OzsXOJ7rLi6utKpUye2bdvG2rVrsbOzo0ePHnfdr1GjRlSrVo3w8HASExON5TqdjhUrVqAoCh07dixRTHeTmppqMjEfwNnZmRo1apCVlUV2djYAPXr04MaNG3z77bdmbeT3SGk0Gjp06MDp06f5+eefTeosXboUg8FAp06dihRXYGAgSUlJrFq1yuL2pKSkIrUjxP3i5mCLOsMBcjKxy9VjUBTiba2N3/gbgAs+rqQ6mvY02uqzsEKPoy4bbHQoFvoIVBTsKXyOmhBlRXpihBDiAePq6srIkSONyymHh4eTkJDAu+++W+jwpqLo378/kZGR7Nu3j969e5ssHlAYrVbL1KlTmTJlCiNHjqR///44ODgQGRnJiRMnCA4OtjhvpDRs2bKF1atX07lzZ3x9fbGysiI6OppffvnFZJW2YcOGsW/fPr799ltOnjxJmzZtsLW15dy5c1y4cIEFCxYAMH78eA4dOsTkyZMZNGgQNWvWJDo6msjISFq2bEnv3r2LFNewYcM4dOgQc+fO5ciRI7Ru3RpHR0cSEhI4cuQINjY2LF68+L68J0IUh/p/HijTruOdlUuWjRUnHWywM6jcBKqlZPDtU/+i92/nqX41FecbWeRgw9/VPKl6PZna11LMem9UFBQ06OQ7cPEAkCRGCCEeMBMmTODYsWOsW7eO5ORk/Pz8mD17dpF6Tu6kdevW1KxZk7i4OPr27Vvk/QICAliwYAHffvstK1asIDc3l9q1a/Puu+8W+WaXJdGqVStOnz7Nvn37SExMRKvVUr16dSZOnMiQIUOM9aytrfn6669ZuXIlP/30EwsWLMDGxgY/Pz+T++r4+PiwdOlSFi1aREREBGlpaXh7exMcHMyLL75Y5IUHrKysmDNnDuvXr2fr1q3GhMXLy4smTZoUORkSoiyoH7mhvJWMvaJglasj3VpDh9OxpLm7csnRgaVtHqWqXkf7v2JocPo0bx7qgkZRSLT+lRw8sOY6CgYMWJGDB1quk4CCZ3m/sIeILLFcMop6++xPIYQQ5SI8PJxZs2axaNEi41LJpW3IkCHo9Xo2bNhwX9oXQlQMu/Ze5OvFN1GBJfOrs2Zt3vDI4OBgrK2t+cv6bfx0V9GQixXp8M+9YXKxwVZdWa6xP2xOKV8Wue6jauELilQ20hMjhBCVxJEjRzh37hwTJ04s71CEEOWsc4AvnQPyfs7NzTXbHmddjTq601gVmBejoEORS0fxgJBPohBCPOSOHDnCxYsXWbp0KW5ubvd1CFhRpKen3/VmkNbW1sZ73gghyp6XLpNkWw+qZieablAMlncQJSbDyUpGkhghhHjIhYSEcPz4cerUqcPMmTOLNKH/fvrss8/YvHnzHeu0bNmSb775powiEkLczik3i8tuVc2SmAwrRywvzixE2ZIkRgghHhBBQUEmE9FLy4OWDDz//PP07NnzjnWqVKlSRtEIISzRoeecc23qpMdSJTdvSeVcxYp4ex/kVq7iQSBJjBBCiDL1yCOP8Mgjj5R3GEKIO7BGx6OpZ1lXpw+P3LiAtSGXSw7VaHvxj/IO7aEjK2yVjCQxQgghhBDChCdXcUq9QZXcdP529sPWoKPXxV1k6jzKOzQhAElihBBCCCHEbVQMgEL1zKtUz7xqLL8hl47iASG3XBVCCCGEECYSsCEbO5OymziTSmo5RSSEKUlihBBCCCGEifrqYpJwIg0XMqlCCp5coQqPqovLO7SHjopS5Ie4RfoEhRBCCCGEmerqAuPPDoBruUUihDnpiRFCCCGEEEJUKNITI4QQQgghRDmRYWIlIz0xQgghhBBCiApFkhghhBBCCCFEhSJJjBBCCCGEAODK2yu4OvfH8g5DiLuSOTFCCCGEEJXcU2MP4YUDGjSoKCROPIieZLzVkPIO7aGnlncAFZT0xAghhBBCVHJVscMWHTbkYEs2TqShwZOb5+LLOzQhLJIkRgghhBCiEjvV8iO0KCZrZCmo2JDNjbofl1tcQtyJDCcTQgghhKjEdL+fw4AzoDcpNwA67MolpspEllguGemJEUIIIYSoxDSoZGL7z7OCMzSyAV05RCTE3UlPjBBCCCFEJabDCnuSsCYNUDFghYIBJzRk41Pe4QlhkSQxQgghhBCVmoIj6SRZVSMbF5x0OWjIwYZkpCfm/pPhZCUjSYwQQgghRCWWqviw06M51+y8APDIukHLpLMYVA/0ksSIB5TMiRFCCCGEqMRuVKljTGAAkuyqcM7ZB7CWC0XxwJLPphBCCCFEJaazszUrS7B3BfRoySrzeIQoChlOJoQQQghRiSkW7hmv1RlQyEKPfTlEVLmYv/uiKKQnRgghxENp5syZ+Pv7l3cYQjzw7NNz0eYajM+1uQbcrmeRjidW5JZjZEIUTnpihBAPjKioKMaNGwfA4MGDeeutt8zqJCcn06tXL3Q6HS1btuSbb765rzHd7SL4v//9L82bNy92u1FRURw9epThw4fj7Oxstv3MmTMsXbqUkydPcvXqVezt7fHy8qJZs2YMHDiQRo0aFfuYQghhiXWmAfeMbHJt877bts42kI0toEFz2w0whXhQSBIjhHjg2Nra8tNPP/HGG29gY2Njsm3r1q2oqopWqy2zeBo0aMCIESMsbqtVq1aJ2jx69CghISEEBQWZJTH79u1j8uTJuLq6EhgYSM2aNUlLSyM2NpYDBw7g5+cnSYwQolScUt7Bheqk4YRN9q3eGFtyAZVcuVS872SJ5ZKRT6YQ4oHTqVMnfvrpJ/bs2UPXrl1NtoWFhfHkk09y5MiRMounatWq9OrVq8yO9/XXX2Nra8vy5cvx9vY22WYwGEhNTS2zWISoyBIzVS5nQBNP0CjmF4pXMlSuZeZtVxSF5JsqF9OhsQcowKeH9VzJhNbesCsOTiWqnEmEazo1byKDHlAt9FSo//xHUQAF9CpgQEGDlV6PTlFwvpmDxkpLigK2KKh6lVytgkarUDU9G6ecXFLsbEmy1lAjMxutXsU9R0eyvRVX7WxxytJhZ6VgnZOLa46OHGsNNjl6rmqt8EtN55HMbEBBr6jY5OrwvpmFY1YOVrm5KDo9VgYV69xcHrevhuNNHTfRoyPvyyENOlxIQ4cWG8wn/QvxIJAkRgjxwGnUqBHnzp0jPDzcJIn5/fffOXfuHK+88opZEnPw4EFCQ0M5efIkiYmJWFtb06RJE0aNGkWrVq2M9f78809GjRpF8+bNmT9/Pso/FzZ6vZ5x48Zx8uRJli1bRr169Yodd1BQED4+Prz99tt8+eWX/PrrryiKQps2bZg6dSqenp5A3lyNzZs3A9CnTx/j/qNHj2bs2LHExcVRt25dswQGQKPR4ObmZla+Y8cO1qxZw5kzZ8jNzcXb25u2bdsyceJErK2tMRgMLFmyhIMHDxIbG0tqaioeHh60b9+el19+GVdXV2Nbly5dok+fPowePZrGjRsTEhLC2bNncXZ2plevXowfPx4rq+L/+UhMTCQkJIT9+/eTlJSEq6srHTp04OWXX8bd3d1Yb/HixYSEhLB+/Xq2bNnCli1buH79OrVr12b8+PG0b9/epN3s7GwWLVpEREQEaWlp1K1bl1deeaXY8eVLSEhg8eLFHDlyhKSkJJycnKhZsyYDBgygd+/eQF4y+cMPPxAWFsalS5dQFAUPDw+aN2/O22+/XaL3R5Sud/bp+fSISq4BaleBH/tpaV71ViLz+k49839V0avQwA0CH1FYcEwlWw/udpB8+6Jcan5SAqDkZTlWUKTpxdagMagYNAq5WIOqcsPGGse0bBxz9WRYacHFDrQamlxOpWFSOgqgpmZzw0pLZA0PDBqFGBsNWCmgKGQCdZLT6HkuERuDigqk29iQbGfLEWdnmmTrsVXzpozb6XPwSs9Eo6roFQWdgz06jYJOVYmpUZ2mZ+OxRocjGdQhDgeyyMKG67iRgxPxygvUUJfe4xkRonTJb1khxAOpT58+fPnll1y9epWqVasCeb0w7u7uZhexAOHh4aSmptKrVy+8vb25evUqoaGhvPLKKyxatIgWLVoAeQnSa6+9xmeffcbSpUsJDg4GICQkhF9//ZV///vfZgmMTqcjJSXFYpwFL/4Brl27xtixY+nUqROvvfYaf/31Fxs3biQjI4P58+cDMGDAADIyMti1axeTJk0ytlG/fn0AfH19OXfuHMePH+df//rXXd+r+fPns2TJEh555BGGDx+Op6cnFy9eZOfOnYwbNw5ra2tyc3NZsWIFTz31FB07dsTOzo6TJ08SGhrKsWPHWLlyJdbW1ibtHjhwgPXr1zNw4ED69OnDnj17WLFiBc7OzowaNequcRWUkJBAcHAwubm59O3bF19fX+Li4tiwYQNRUVGsWLECJycnk31mzpyJlZUVI0aMIDc3l++//57JkyezceNGqlevbqz3zjvvsHv3bjp06EDbtm25ePEiU6ZMMalTVDqdjvHjx3Pt2jUGDRqEn58f6enpnD17ll9//dWYxHz33XcsWrSIDh06MHDgQDQaDZcuXWLv3r3k5ORIElPO9sap/N+hW2s+xdyAF3/Sc/S5vPOy+W8DX0Xf2n7mOpw5euu5WQIDBRKYElDzEhiTtqwUtHoDN1DA2Qa0Glxv5tAoKf1WNcDeYEBVAK0C1qYJU6aNFTYG1VjXKSeHXK2WJ9MyjAkMqopnyg00/zzXW1tBfiyKwgVfbzyT07FPzqE+Mdj8M5Hfjhy8uUoKrtjjiOF6Bho3x5K/B+IOZDhZSchvWSHEA6lnz5589dVXbN68mVGjRpGVlcX27dvp16+fxQvEd999F3t706VABw4cyJAhQ1iyZIkxiQEYOnQohw8fZtGiRfj7+5Odnc13333HU089xcCBA83aPnjwIF26dDErt7e3Z9++fSZlcXFxfPjhhyY9SBqNhnXr1hETE0Pt2rV57LHHqFevHrt27aJTp05mF9tjxozh3//+Ny+++CL16tXjscceo0mTJrRu3dqs7u+//86SJUvw9/dn7ty52NreGvoxYcIE4882NjZs27YNOzs7k/0fe+wxZs+eze7du82G7p07d461a9cajzlw4ECeeeYZ1qxZU+wk5pNPPkGn07Fq1SqTHqYuXboQHBzMqlWrGDt2rMk+rq6ufPnll8beMn9/f0aOHMnGjRt59dVXgbxzs3v3bnr37s3MmTON+7Zs2ZLJkycXK0aA8+fPc+HCBSZMmMDIkSMLrbdr1y7q1KnDl19+aVJe8D0X5Wd/vPmitdFXIDNXxcFaYd/FMl7UtpAESNEZQKMB67xhXO43zVcCszGo2OsMZNqYzwO84mSPyq1LYAXQGgxYKbfqagwGrPW3hrypFmJJcXHEPTnVmMAY90XFhptYA4afTqMZ2vLOr1OIMiRLLAshHkiurq4EBAQYh13t2rWL9PR0k+FXBRVMYDIzM0lJSUGr1dK0aVP++OMPs/ozZszA09OTd955h+nTp+Pt7c17771nse2mTZsyf/58s8ftF7AAXl5eZslA/gpncXFxRXrtXbp0ISQkhKeffporV66wceNG/vOf/9CnTx8mTZrE9evXjXW3bdsGwKuvvmqSwEDeGP/8BEBRFGMCo9frSUtLIyUlhdatWwN5ydDtbk+wFEXB39+fpKQkMjMzi/RaANLT09m/fz8BAQHY2tqSkpJifFSvXh1fX18OHTpktt/QoUON8QM0adIEBwcHYmNjjWW7d+8G4LnnnjOLvSSLLuT3Bh09epTk5OQ71rt69SrHjh0r9jHKUnJyMtnZ2cbn6enppKWlGZ/n5OSQlJRkss/ly5fv+DwhIQFVLdBr8QAeo9mtm88b1XHW4WCd93l6zKuMv/lWLSdNivafOHR5E+qTHGzM6mRrFG5aacBg3oZXRpbJd/gqoNdoyCnw78ag0ZBbYCEUxUIstdJj0WKweL8SB9LQo6C0vfXv6UE85w/KMUTZkZ4YIcQDKygoiIkTJ3Ls2DHCwsJo0qQJjzzyiMW6Fy9eZP78+Rw8eNDkjxBgciGcz8XFhenTpzN+/Hggb6lkS0sdQ15C1aZNmyLFXKNGDYvHAoo1Ib958+Y0b94cVVWJjY0lKiqK9evXs3fvXt577z2+/vprAGJjY1EUxTgU7U4iIyNZuXIlp0+fRqfTmWy7ceNGsV+Lg4NDkV5LTEwMBoOB0NBQQkNDLdaxdCxfX1+Lxy/4PsbHx6PRaCwmLHXq1OHChQtFijGfj48Po0aNYunSpfTo0YMGDRrQunVrunTpQpMmTYz1xo8fz+TJk3nppZfw8vKiVatWtG/fnqefftpsWF55KjjXCDAbsmdjY4OHh4dJmY+Pzx2fV6tW7YE/RuAjCoMaKKw/k3fB6mAFC7rdShCGNFRYdUoh4nze9io28GSNW8+1+XPxi8tk3kzB8n/+U3CbQSXN3gbH9Gwy0rLBxY5UO2v+8HLm0WtpaAADcFOr5M2P0at5yY6Vxngst8xsDOR9I60CmdbWpFtbccTBjh7ZOdj8E0+iaxW8k1PQqCraXB06G2tjLPUTz9Mq8Rh6rEnGmyrcGs6mx4AtWdxAxa3Wrff3QTznD8oxRNmRJEYI8cBq27YtVatW5ZtvviEqKopp06ZZrJeZmcno0aO5efMmw4YNo169ejg6OqIoCkuXLi10JbO9e/cafz5z5kyJ7vdyO42m8A5utZBvY+9EURRq1apFrVq16N27N0OGDOHgwYNcuXLFOCyrYI9LYXbu3Mm///1vmjRpwuTJk/H29sbGxgaDwcCECRMsxlbar6Vnz57GOSW3u70X6U7HL8mxi+OVV16hT58+7N+/n2PHjhEaGsqKFSt4/vnnee2114C8YXibNm3il19+Md7zZ9u2bXz77bf897//NSZ7onxoFIV1fbQcuawSm6bSuaaCu/2tfyPWWoWtA7X8cknlcrpKl1oKVWwVjl1VOXtdJcBXIS3HwMgIlaSbUN8Vjl6Ba5kqufnZjcKt5ARuJSiqmtdrovxTlv9cr+JoMGCtV7mp1aDVGbBRDaQ4W+GcY8CQcpNsKw0X7K256emIfa6eJFtrrtnZ4GjIQdWBW5qOVCcbchUNTqmZpFtr2e7niXdmDlcdHVAVFVVnoFFKOprsbHI0CtkahTRra1RXFxyzsrDR5aJkZWNtUNHm6nn6j1/QqCoacvDkIpk4kYMjealRDnpsqa4uKqtTVynJEsslI0mMEOKBpdVqCQwMZMmSJdja2tK9e3eL9Q4fPsy1a9eYPn262XCzhQsXWtxnz549rFmzhqCgIC5evMjcuXNp2bJliVYlK4m7JR2W2Nra0qBBA+Lj47l27Rre3t7UqlWLn3/+mTNnztC0adNC9926dSu2trYsXrzYZF5MTExMScIvFl9fXxRFQafTFblHq6hq1KiBwWDgwoUL1K1b12Tb+fPnS9yur68vQ4cOZejQoWRnZzNhwgSWL1/OiBEjjN/eOjg48PTTT/P0008DsG7dOj7++GNCQ0N5/vnnS/6iRKlp7aPQ2qfwf2ttq/+zBPI/mldVjCuYVXXUsn/4/Y6wMJZ7hU2VziT788ourNFxUVuDGK0ferRYGfTU1l3Bg2SyMJ+nI8SDQObECCEeaAMHDmT06NH8+9//Nuvqz5d/48vbv6E/ePCgxbkeV69e5f3336dOnTq89dZb/Oc//8HW1pa3336brCxLyxKVvvyhWJaGcf38888WexuuX7/Ob7/9hlarpWbNmgDGxG7BggXk5ppfbOS3k9+rYTAYTLZ9++239/hK7s7V1ZUnn3ySnTt3cuLECYsxFpznUxwdO3YEYMWKFSblu3fvLvZQMsgbE3/7UDtbW1tq164N3Dpfllary78BqaVzKsSDyvG3UZzQPMYFxY8qOdlUzUnHWZdDnMYLBQNWGO7eiBDlQHpihBAPtGrVqpmtWnW75s2b4+HhwZw5c7h8+TJVq1blzJkzbN26lXr16nH27FljXYPBwLvvvktWVhYffvghdnZ2VKtWjffee48pU6bw+eef884775i0f/XqVbZu3Wrx2I899pjFuRt3k99r8tVXX9GzZ09sbGyoW7cu9erV46233jIuJV2nTh2srKyIj49n69atJCUlMXr0aONwpaZNmzJy5EiWLVvGs88+S7du3fDw8ODSpUvs2LGDZcuW4ezszNNPP21ccjkwMBCdTseePXvKLGmbNm0aL730EqNHjyYwMJCGDRtiMBiIj49n79699OrV667n2ZK2bdvSoUMHNm/eTGpqKu3atePixYts3LiRunXr8vfffxervaioKD744AOeeuopatWqhYODA6dOnSI0NJSmTZsak5lBgwbRrFkzmjRpgpeXF4mJifz4449YW1vTrVu3Yr8OIcpL1WYN+Z09uOtuGhMWKwxYG/TkANYWp/uL0iTvcMlIEiOEqPCcnZ35+uuv+eqrr1izZg16vZ5GjRoxd+5cQkNDTZKYb7/9lujoaKZNm2YydKxz584MHjyYdevW8cQTTxiHCEHefJnp06dbPPa7775boiSmefPmTJgwgY0bNzJ79mz0ej2jR4+mXr16zJgxgwMHDnDkyBG2bt1KZmYmLi4uNGrUiEmTJpnEBnnL+tavX5+1a9eyfPlyDAYD3t7ePPnkk8ahY927dyczM5PVq1czd+5cnJ2dCQgI4NVXXzVr736oVq0aK1euZNmyZezZs4eIiAhsbGzw9vamQ4cOZiu6FceHH37IwoUL2bZtG4cPH6Zu3bp8+umnbNu2rdhJTP369encubNxjoter6datWoEBwczYsQIY70RI0Zw4MAB1qxZQ3p6Ou7u7jRt2pTg4GAaNGhQ4tciRHmwM+jMelysMJCOE+5Iz6J4MCnq/Z4hKYQQQgghHli/Kx+iszAPx5lE3EnATSb231dRiuW5m5b4qy/fx0gqFpkTI4QQQghRibmSiO62FbL0KHhzCR36QvYSonzJcDIhhBAlkpmZedebXmq1Wtzc3MooosJVpFiFKGu/44k/f3KBhqgoKKj48TeOZJCDLBd+v8kSyyUjSYwQQogSWbFiBSEhIXes4+PjQ3h4eBlFVLiKFKsQZc2LszigoT5/ch1PrMmhCqno0ZIrl4riASWfTCGEECUSGBh41xuEWrqJZXmoSLEKUdY0qNzAk2t4o/4z0+AG7vhxGlk7SzyoJIkRQghRIr6+viVama08VKRYhShrWvQk42VMYABysOE63tiQWI6RVQ6SJpaMTOwXQgghhKjEDGjQoTUrz8YWRS4VxQNKPplCCCGEEJWYlUtVrNCZldtxE9VCciPEg0CSGCGEEEKISqzhtdnYkYGmwHLKDqSTgxW67rXKMbLKwYBS5Ie4RebECCGEEEJUcirJOJKLgs0/l8o5OHAVr23vl3NkQlgmPTFCCCGEEJXcjsWNify6GhqSsOIyLv8bjJe6uLzDEqJQ0hMjhBBCCCHA2hqfnE+xtrYu70iEuCtJYoQQQgghhCgnqsx1KREZTiaEEEIIIYSoUCSJEUIIIYQQQlQoMpxMCCGEEEKIcqKWdwAVlPTECCGEEEIIgsduw8rmGVRlAAZlAKlvLCjvkIQolCQxQgghhBCV3Atjt2EFKAUeVeb8r3yDEuIOJIkRQgghhKjkFBSTNbIUwABc9BpWThEJcWcyJ0YIIYQQopKzsjAzQwOkJWaXfTCVjCyxXDLSEyOEEEIIISzSyaWieEDJJ1MIIYQQQphRAHcM5R2GEBbJcDIhhBBCCGFGBdJkqNN9J8PJSkZ6YoQQQgghxD8U8i4P8y6sM+UuJuIBJT0xQgghhBCCgslL/vpkTja25RiPEIWTJEYIIYQQotLLvztMwRKF3BxZnex+k76ukpHhZEIIIYQQldi+np9yU2ttVq4CfnKJLR5Q0hMjhBBFFBQUhI+PD9988015hyKEEPfsy7rzyXGshWt2XZ7SR2E6nAx0ioKd5DDiASVJjBBCVBCLFy+mYcOGdOrUqdA6hw8fZuPGjZw4cYLk5GSsra3x8/Ojbdu2DBo0CG9v77ILWAjxwNHpdCx8dC2dE/5keNYNbNXjpFnZYgA0//w3j4pWhVOuXjQpx3iFKIwkMUIIUUGEhITQu3dvi0mMwWDg//7v/9i0aRM+Pj50794dPz8/cnNzOXXqFOvWrWPTpk1ERkaWfeBCiHKXdTOLzfWWkehUhcHnf0VRcnHWJ2FFLjlUIQcNdhgAA5edXYlz9eBf8TGsaNOFj8o7+IecLLFcMpLECCHEQ+Cbb75h06ZNdO/enZkzZ2JtbTq+/Y033pBhcPdAr9eTm5uLnZ1deYciRLGcVAag01bnUpW6pLj6USMtEUclAWddhrFO1exEVOCIb13mPdmD1S3ao9dq8UlN5v2I7/H+92VyM3NQtdakuDqDooCq5v0fTd5DCyga0Ch4aeDqFPM5NkKUJkVVVRntKISotMLDw5k1axbz58/n2LFjhIeHk5SURK1atQgODqZ79+7GuvlzYt5++22+/PJLfv31VxRFoU2bNkydOhVPT09j3WvXrrFy5UqOHDnC5cuXyc7OpkaNGgQGBvLcc8+h1WqNdbOzs1m6dCk//fQTV65cwdraGm9vb9q1a8frr7/OpUuX6NOnj8X4o6KiSE5OJigoCHd3d9avX4+tbdGWRL106RILFy7k0KFDpKWlUbVqVbp168aLL75ocrG+ePFiQkJCWL9+PVu2bGHLli1cv36d2rVrM378eNq3b2/S7ubNm1m7di2xsbHodDo8PDxo1qwZb775Jm5ubkWKDSAhIYHFixdz5MgRkpKScHJyombNmgwYMIDevXsb66mqyqZNm9i0aRPnzp0DoHr16nTu3Jlx48YZ66WkpLB48WL27t1LUlISHh4eBAQEMHbsWFxdXY31Cn4mTpw4QXh4OAkJCbz77rsEBQWhqiobNmxg06ZNnD9/Ho1GQ+PGjRk9ejT+/v5Ffn1ClJbU6zr+++5Zzl1R8b2SyPD9O9BapeOjOw+KQrLWjV/tnyTO05nel7bjnX3NYjtN3/yMP6r5mZQ1uBqPQ64dfjdyAJUTVatw3t3xn0QGQL2V1KDcmlJjdnmpmPwPwE4LfespzO+iwcO+8vZG7FW+LXLdAPXF+xhJxSI9MUIIAcybN4+bN28yaNAgIO9C9p133iEnJ4egoCBjvWvXrjF27Fg6derEa6+9xl9//cXGjRvJyMhg/vz5xnp//fUXu3btolOnTvj6+qLT6fjll1/4+uuviY+P55133jHW/fjjjwkLCyMwMJBnn30WvV5PXFwcR44cAcDNzY3333+f6dOn06JFC/r3728S+/79+8nOziYwMLDICczly5cZOXIk6enpDBo0CD8/P44ePcqSJUs4fvw4CxYswMrK9E/EzJkzsbKyYsSIEeTm5vL9998zefJkNm7cSPXq1QHYsmULM2fOpEWLFowbNw5bW1uuXLnCgQMHSE5OLnISo9PpGD9+PNeuXTPGl56eztmzZ/n1119Nkpjp06cTERFB06ZNGTVqFM7OzsTExLBjxw5jEpOens6oUaOIi4ujT58+NGrUiNOnT7N+/XqOHDnCsmXLcHR0NIlh7ty56HQ6+vfvj6OjI7Vq1TIe76effuLpp58mKCiI3NxcIiIiGD9+PJ988gkdO3Ys0msUorSEfHaRs0kasII+hw7iQDYeuhg0qKCqnLZvTo5WQ70L1/EyJFpsw6Ao3LB1MCs/U7UGU3fv52zVR8jVKMS5OvzTA0NeQqLm/3xbEnL7839ynIKy9LDmtMpNnYHQ/loqKxlOVjKSxAghBHnf0v/www84OTkBMGjQIIYOHcqXX35J165djT0TcXFxfPjhh3Tt2tW4r0ajYd26dcTExFC7dm0AWrZsSWhoKEqBP+TDhw/nvffeIzQ0lLFjxxp7bnbv3k27du2YNWuWxdjs7e3p1asX06dPp0aNGvTq1ctk+99//w1AgwYNivx658+fz/Xr15kzZ46xJ2Xw4MHMnTuXFStWsHnzZvr162eyj6urK19++aXxNfn7+zNy5Eg2btzIq6++anwtjo6OLFy40CQJKtgjUhTnz5/nwoULTJgwgZEjRxZaLzIykoiICHr27MmsWbPQaG7dOcBgMBh/XrZsGbGxsbz11lsMHjzYWN6gQQM++eQTli9fzssvv2zSdlZWFqtXrzbpldq1axcRERG8/fbbDBgwwFg+dOhQgoOD+fzzzwkICDA570LcT+lpes7+nQOA482buOamobfKRqO79fk36GxwzszByqCSauWKm+66WTurmz9JnJunWfkjSQnkWOX9G0h0sEGnve3uHEX9qN+h3uZzKtk6FVsr+Xcjik7uEyOEEOQlLfkJDICTkxMDBw7kxo0bHD161Fju5eVlksAAxiFEcXFxxjI7OzvjhWxubi6pqamkpKTQtm1bDAYDJ0+eNDnWuXPnOHv2bIliz8jIG9t+e09CYQwGA3v37qVhw4ZmQ8FeeOEFNBoNu3fvNttv6NChJhfnTZo0wcHBgdjYWGOZk5MTWVlZ7N+/n3sZrZx/Lo4ePUpycnKh9SIiIgCYOHGiSQIDmDzfvXs3bm5uZr1YAwYMwM3NjV27dpm1PWjQILM5MFu3bsXR0ZFOnTqRkpJifKSnp9OhQwcuXbpk8n6Ut+TkZLKzb92sMD09nbS0NOPznJwckpKSTPa5fPnyHZ8nJCSYnFs5Rvke43rKVay1ecfIsbJCjxYMGpO7u6haHVb6vJKL+npka2yM29JsbNnQ9HFeeGY8t3POymTi3m3Euuf1tDrk6s3qlMZtZNzsIOnalYfifIiyIz0xQggBxh6UgurUqQNAfHy8saxGjRpm9VxcXABITU01lul0OpYuXcrWrVuJi4szu6C/ceOG8edJkyYxY8YMhg4dSo0aNfD396dDhw4EBASYXZhbkp+8ZGZm3rUuwPXr18nMzOSRRx6x+Fo8PT1NXnM+X19fi/ULvu7g4GCio6OZPHkyLi4utGzZkieffJKuXbsWOckC8PHxYdSoUSxdupQePXrQoEEDWrduTZcuXWjS5NaCr3FxcXh6euLh4XHH9i5dusSjjz5qNkTOysoKPz8//vzzT7N9/Pz8zMpiYmLIyMigW7duhR4rOTnZOPSsvLm7u5s8L5ioA9jY2Ji9dz4+Pnd8Xq1aNTnGA3SMmjV96DHAhvB1SeRaW3Omuh/NLp0hW7HHTr0JQPPMg/yuPAmqgrWqJUP14zc3V054+fFBn45sW/IhreLPcdivPgCPJsTx7o6N9D4VzecdgsjRKNgYVFyyddRIvUm8iz2l6b0nNFT3eTjOR0nI5PSSkSRGCCGK4U5JRcFE5csvv2TNmjV07dqVUaNG4ebmhpWVFX/++Sfz5s0zqdupUyfCwsI4cOAA0dHRHD58mNDQUFq0aMGCBQvMVhq7Xd26dQE4ffo0nTt3vsdXWLjCXnvB1+Ln58e6des4fPgwR44cITo6mtmzZxsXB7CUCBXmlVdeoU+fPuzfv59jx44RGhrKihUreP7553nttdfu+fXcjaWVyFRVxc3NjdmzZxe6X/75EKKsBA70wLe6Ff/7z5/85lUDr8vXyFU1OGoSsFMySbd14IK3G7XPX0eHFtDgl5rBBSc91xzc6DB2FnPCl1I/OQGDoqH1xb+NbV+3t+d/j3jhe+MmikEl0c7afNL+Xa/CFbMf67tAYF2FvvUUOvnJwCBRfJLECCEEed+w3+78+fOA5d6Xu9m6dSstW7bkww8/NCkvOOSsIBcXF3r16kWvXr1QVZV58+axfPly9uzZQ5cuXe54rPbt22Nra8vWrVsZNWoUNjY2d6zv5uaGo6OjcSWvgm7cuEFiYmKx5tfczsbGhvbt2xuHqu3fv5+JEyeyatUq3nrrrWK15evry9ChQxk6dCjZ2dlMmDCB5cuXM2LECNzd3fHz82PPnj3G1cYKU6NGDS5cuIBOpzPpjdHpdMTGxhb5HNesWZPY2FiaNWuGg4P5JGghysu/2rrwr61t/nlm2lOojzyOT79I0qs5cdjlEZ68ZqBuchJPxZ3io9DNvDGoL6/1Ceb8JxNwzL01vEqnaJi8YzNfhfUFZHlx8WCR1FcIIYD169eTnp5ufJ6ens6GDRtwdnamVatWxW5Po9GYDSG7efMmq1evNinT6/UmY7ABFEWhYcOGgOkQNQcHB5Pn+dzd3Xnuuee4dOkS//nPf8jNzTWrk56ezueff26MrUOHDpw+fZqff/7ZpN7SpUsxGAwWb6hZFCkpKWZljRo1Mnstd5Oeno5OpzMps7W1NQ77yx+O17NnTwC++uork4n8YNpD1LFjR65fv86mTZtM6mzatInr168XuQcrMDAQg8HA119/bXH77ePnhXgQ+HX9F50zJlPj7dpUyYznP1068lbvQL5r3ZpMjR2fro2gz4kL/NikGzkaK1QgFy3Z2OCZXfR/t0KUJemJEUII8lbeGjlypHE55YL3BinJDQ6ffvppNm7cyL///W8ef/xxkpKSCA8PN86fyZeZmUmPHj0ICAigYcOGuLm5cenSJdavX0+VKlUICAgw1m3atCmHDx9m6dKlVKtWDUVRjPexGTNmDImJiWzatInjx4/TrVs349LOp0+fZseOHVhbW/Pmm28CMH78eA4dOsTkyZMZNGgQNWvWJDo6msjISFq2bGmyhHFxjB8/HmdnZ1q0aIG3tzdpaWmEh4ejKIrZqmp3EhUVxQcffMBTTz1FrVq1cHBw4NSpU4SGhtK0aVNjMtOlSxe6du3Kli1biIuLIyAgAGdnZ2JjY/nll19Yu3YtACNHjmTHjh188sknnD59moYNG3L69GlCQ0OpVasWzz//fJHi6tKlC0FBQaxdu5Y///yTDh064OrqytWrV/ntt9+4ePEioaGhxX7fhCgLTSb0oMkEONPgWwzuVdDk6Mi1suaMryOLwz6g4CLH1uixVvVkGOT77vtNllguGUlihBACmDBhAseOHWPdunUkJyfj5+fH7Nmz6dGjR4namzRpEo6OjkRGRrJnzx68vb3p378/jRs35pVXXjHWs7OzY9iwYRw+fJjDhw+TmZmJp6cnAQEBBAcH4+XlZaw7bdo0Pv74Y5YsWWJckSw/idFoNLz77rt07dqVjRs3snXrVpKTk7GxscHPz4/BgwebLC3s4+PD0qVLWbRoEREREaSlpeHt7U1wcDAvvvii2QT4oho0aBCRkZFs3LiR1NRUXFxcaNiwIVOnTi3WjSDr169P586dOXr0KNu2bUOv11OtWjWCg4MZMWKESd0PPviAFi1aEBoaSkhICFqtlurVq5sMw3NycuLbb7813uwyLCwMDw8PBg4cyNixY4u16MCMGTPw9/fnxx9/ZOnSpeTm5uLh4UGjRo0YP958hSchHjQfnbl1w8QV1f6Pp/5IKnRay99ePjxWNmEJUSyKei9rYAohRAWXf3f2RYsWyd3WhRCVUm5ODla2Qy32B0R7VaflVcvDJ0Xp2KUsKXLdzmrwfYykYpGeGCGEEEKIyqyQm7OqgMO1S2UbSyUkvQklI0mMEEKIMpOZmXnX+9lotVrc3NzKKCIhxJ3ceYF3IcqPJDFCCCHKzIoVKwgJCbljHR8fH8LDw8soIiHEneRY3XnJdiHKiyQxQohKLSgoyLgimbj/AgMDad68+R3r2Nralk0wQoi70hv05R2CEBZJEiOEEKLM+Pr64uvrW95hCCGKQAHsJIm572SJ5ZKRxb+FEEIIIYRF0i8qHlSSxAghhBBCCDMqmNwAU4gHiQwnE0IIIYSo5AxYTliq/f5JWYdS6chwspKRnhghhBBCiEouAcXkfiUqcM62Cpom9corJCHuSJIYIYQQQohKbsvi7pwCrtjak2jrQJzWlrpZS8s7LCEKJcPJhBBCCCEE+xf3IDg4GGtrucVlWTKUdwAVlPTECCGEEEIIISoUSWKEEEIIIYQQFYokMUIIIYQQQogKRebECCGEEEIIUU5UjSyxXBKSxAghhBBCVFLKuym4Khq8MweSaq1h73+vs/LlquUdlhB3JcPJhBBCCCEqIWVGOt45kK1XOGtvh0O2gfMn9KSmZ5V3aELclSQxQgghhBCVkAYNV+xsuGmlRa9ROOdszzUbaxrPTC/v0CoVVSn6Q9wiSYwQQgghRCWkqKpZWYyTHbbmxUI8cCSJEUIIIYSohPRW5peBOq2GBAfbcohGiOKRif1CCCGEEJWRtQb0eijQ86LaaLipl66YsiSrk5WMJDFCCCGEEJWUjy6X2ik3UVSVC1UciHe0B0liRAUgSYwQQgghRCXkfeMm/lfTjM89rt1AVeCSo005RiVE0cicGCGEEEKISkYzNZla6dlm5bXSssAgPTHiwSc9MUIIIYQQlYxqZwM3c83LFRWnHH05RFR5qdKlUCLytgkhhBBCVDIuGIhzsOX2PpcYezusVUO5xCREcUgSI4QQ5SwqKgp/f3/Cw8PLO5Qyc+nSJfz9/Vm8eHF5h1IslfFciYeTVmfgsqMde6u5sr+GGwdquLHPx40EOxuu21uXd3hC3JUkMUIIUcGtXr1aLqpL0aVLl1i8eDGnT58u71CEuG/StFowGLjhbMt1R1uSHW1JcbIBjQI6GU5WllStUuSHuEXmxAghRDlr2bIlBw4cwMqqZL+Sv//+e3x8fAgKCirlyCqnS5cuERISQvXq1WnYsGF5hyPEfZGrU8FeC0qBC2NFAa0CevmOWzz45FMqhBDlTKPRYGtri1arLZPjZWRklMlxhBAPpuQbWWCnBa35ZWCVm1lEzFvM3iofsFx5pRyiE6JopCdGCCHKWVRUFOPGjWPGjBkEBQWZPFdVlZUrVxIXF4eHhweDBw9m5MiRxn39/f0BuHz5svFngLCwMKpXr05QUBA+Pj5MmjSJr7/+mhMnTuDi4kJYWBgA0dHR/Pe//+WPP/5Ap9NRu3ZtBg8eTL9+/UxiHDNmDJcvX+a7777jyy+/5JdffiEnJ4cWLVowZcoUatWqVWrvx/bt21mzZg1//fUXer2eevXq8dxzz9GlSxeTev7+/vTu3ZsBAwbw9ddfc/LkSWxtbenUqRNvvvkmDg4OJvWPHj3K119/zZkzZ3BycqJr167079+fZ555htGjRzN27FjCw8OZNWsWALNmzTL+3LJlS7755huT9sLCwu54boQoDWeSVYZt1hN99R4aUf/5j6qCHkADdhpQ8rfdMmrfb1xxqYNGq6ehtRW5yiAU4AauaFDRo8WGLJxIN+56+yAnHVpUrLEiG6XAAe46GKqqC1xLNY3J3hbaNoCUDDgTD7cvC21jBe0awoxnoFPTorwb4iEhSYwQQjygNmzYQHJyMn369MHZ2ZmIiAjmzZuHt7c3PXr0AOD999/niy++wNXVlVGjRhn3dXNzM/585coVXn75Zbp06cJTTz1FZmYmAHv37mXKlCl4eHgwYsQIHBwc2L59O7NnzyY+Pp7x48ebxHPz5k1Gjx5Ns2bNGD9+PPHx8fzwww+8+eabrFmzplR6khYsWMB3331Hu3btGDduHBqNhl27djFt2jSmTp3KkCFDTOqfOXOGN954g6CgILp3787Ro0cJDQ1Fo9HwzjvvGOsdO3aMV199lSpVqjBy5EicnZ2JjIzk+PHjJu21aNGC4OBglixZQv/+/WnRogUA7u7uJvWKcm6EuFdXM1SaL9dzU3ePDSnk3ftF98/PVsqtYWQGFdtcHQ0TrjFqfxROOVrSq9gBEOX4GAYbA20TjuBOsrG5HGzIwg57siwezho9/2RLxXM11bzsZjbsPFH4Pjk62P0H7J0Bu/8DHRoX/7jlzKCRuS4lIUmMEEI8oBISEli/fj1OTk4A9O3bl969e7NmzRrjhXKvXr1YuHAh7u7u9OrVy2I78fHxvPvuuya9K3q9nk8++QR7e3uWLVuGl5cXAEOGDGHs2LEsW7aMoKAg/Pz8jPukpKTw3HPPmfQ2uLm58dVXX3H48GHatm17T6/3zz//5LvvviM4ONgkgRo6dChvvvkm8+fPJzAwEEdHR+O2v/76iyVLltC0ad43sAMHDiQjI4OwsDDeeOMNY2/MF198gaIofPvtt/j6+gIwePBgxowZYxKDr68vbdq0YcmSJTz22GOFvqdFOTdC3KsfTqv3nsDky181WaOYzoPRKMz7IYyev5/hvIcXv/ma9qqe8GxMm4QoNAW6R2zI4RpVC01iyoVBhUU/VcgkRpSMzIkRQogHVFBQkPEiGcDOzo5mzZoRGxtbrHZcXFzMJv2fOnWKhIQE+vTpY0xgAKytrXn++ecxGAzs2bPHZB+NRsPQoUNNylq3bg1Q7JgsiYiIQFEUAgMDSUlJMXkEBASQkZHBiROm38g2a9bMmMAUjEmv13Pp0iUAkpKSOHnyJB07djQmMABWVlYMGzasRLGW1rm535KTk8nOvjX8Jj09nbS0NOPznJwckpKSTPa5fPnyHZ8nJCSgqrcuaOUY9+8Y+jK6Xcu/4vLiNijml4V6RYuqmPcUGO4+OKzM3UzPNHleHudclB3piRFCiAdUjRo1zMpcXFxITbUw5OIu7dw+1Cv/Av+RRx4xq1+3bl0grwenIC8vL2xtbc3iAYodkyXnz59HVVUGDRpUaJ3bLygKe48KxpT/Wi3N2ynpXJ7SOjf32+3D4AomXgA2NjZ4eHiYlPn4+NzxebVq1eQYZXSMoY0Upu2DnNJY8VhDXm+MQc37uUBicqxmdaqnnqZ6ajKnqlVHX+D3Rf2Uv9HedvPLbGxw5kYpBFW67F8z/bKmPM55SajSpVAiksQIIcQDqrRWK7OzsyuVdjSawv/SFvx2814oisJXX31V6LHyE6x8d3qPSismS8pqJTlRufk4KRx+VsuQcD1nrt9DQyr/LJ+s5iUyOhW0GGfa/19gZx69fJU6Sddpd+4Mx31rkmFnR62UCwRc3I8BSMMFPVpyscGWm7iQevuaAEb6AhP7Kc7E/ip2cOO2IWo2VvCv2nAjE2KuQvZt4+u0GmhRB2Y+A08/VrT3QzwUJIkRQogKTrEw1ONu8nsSzp07Z7Ytv8xSb8P9VLNmTX7++WeqVatGnTp1Sq3d/G9KL1y4YLbNUllJ3k8h7pd/VVU4/WLpXq6dvXyT+t+ooCpgb8UFDzc6TRlDy9hLpNnYUP3aDZ7fvx1D7Dms9WtQNBpcitG+XFyKsiAdWEIIUcHZ29tz40bxhnY0atSIatWqER4eTmJiorFcp9OxYsUKFEWhY8eOpR3qHeVPop8/fz56vfn4mduHkhWVp6cnjRs3Zs+ePVy8eNFYrtPp+P77783q5y8G8KANDROitNTzsQcrDdhq/1lmWcWgKETVqsFpd3d2+fnwQsxrBKpzUO7QAytKh6pRivwQt0iyLIQQFVyzZs0IDQ1l4cKF1KlTB0VRCAgIwN7evtB9tFotU6dOZcqUKYwcOZL+/fvj4OBAZGQkJ06cIDg42GRlsrLQpEkTxowZwzfffMPw4cPp0qULXl5eJCYmcurUKQ4cOMDBgwdL1Pbrr7/O+PHjefHFFxk0aBBOTk5ERkai0+UNTSnY+1KnTh0cHR1Zv349dnZ2ODs74+7ublzEQIiHggpoLVwU22jAYF3m4QhRXJLECCFEBffKK6+QmprKunXrSEtLQ1VVwsLC7pjEAAQEBLBgwQK+/fZbVqxYQW5uLrVr1zZbjrksjRkzhsaNG/PDDz/w/fffc/PmTdzd3albty6TJ08ucbutWrVi3rx5zJ8/nyVLluDs7EzXrl3p0aMHL7zwgsmCBXZ2dnzwwQcsXLiQL774gpycHFq2bClJjHi4qP88bs9jFKUIk1eEKH+Kej9nPgohhBAPsB07dvDWW2/xwQcf0L179/IOR4gyo8zOyrtnjJWF4WLZuajvOZR9UJVUqNvqItfte334fYzk/oiPj2fv3r1cvXqVgQMH4uvri16vJzU1FRcXlxIvlCIDHYUQQjz0VFU1uR8E5M2JWbVqFVqtllatWpVTZEKUE9UAuYXciEZXRjeoEUDe+gpFfVQkqqoyadIk6tSpw7PPPsukSZM4c+YMkHdPntq1azNv3rwSty/DyYQQQpQKvV7P9et3XwfWxcUFa+uyHXOfk5NDUFAQPXr0oFatWqSmphIZGclff/3FyJEj8fT0LNN4hCh32XpwsMlbctm4kIaSt/Sypd4ZIYrp008/Ze7cubz11ls8/fTTdO3a1bjNxcWFAQMGsGHDBiZOnFii9iWJEUIIUSquXLlCnz597lpv0aJF+Pv7l0FEt1hZWfHkk0+yZ88e42pstWrV4q233mLw4MFlGosQDwJ1tnPekDKDHmwKDOfRGfBJvAHIcDJxb0JCQnj++ef5v//7P4urSz722GNERESUuH1JYoQQQpQKDw8P5s+ff9d6DRo0KINoTGm1WmbMmFHmxxXigaY3gN1tl4JWGvRa6YkpSw/r0slxcXG0a9eu0O2Ojo7Fvj1AQZLECCGEKBW2tra0adOmvMMQQhSVVpO3GtltkpykF0bcu6pVqxIXF1fo9qNHj97TUv6SagshhBBCVEZaBXJvu7GsqqJ/SHsGRNkaMGAAixYt4ty5c8ay/Htybd++naVLl97TcF5JYoQQQgghKiNFAT2QoweDmrcqWY4e5O4bohTMmjULHx8fmjdvzvPPP4+iKHz88ce0b9+enj178thjj/H222+XuH1JYoQQQgghKiODCjYa0GhA/8+dL7VaXDOzyjuySsWgFP1Rkbi4uHDw4EGmTp1KfHw8dnZ27Nmzh5SUFGbMmMG+fftwcCj50EW52aUQQgghRCWkTE0CN2fTQlXlzAs66ld3LJ+gKqENXt8Xue7Aa8PuYyQVi/TECCGEEEJUQuonHpB4I2+VMlWFbB3WN5IkgREVgqxOJoQQQghRSamfe5Kbm8uSJUsACA4OLueIKp+HdYnlUaNG3bWOoih8++23JWpfkhghhBBCCCFEqdq5c6dxNbJ8er2ey5cvo9fr8fLywtGx5L1+ksQIIYQQQgghSlVMTIzF8tzcXBYvXsycOXOIjIwscfsyJ0YIIYQQQohyoipFfzwMrK2tefXVV+nWrRuvvvpqiduRJEYIIYQQQghRpv71r3+xd+/eEu8vw8mEEEIIISorZQBa4EUgGUAm9osyEhkZeU/3iZEkRgghhBCiMlIGALeG5XgCOptnQN1YbiGJh8f7779vsTwlJYW9e/cSHR3NtGnTSty+JDFCCCGEEJVNTo5ZkYJcGJYHVXlIJrvcZubMmRbL3dzcqFu3LosWLWL06NElbl8+q0IIIYQQlY3t0PKOQDzkDAbDfW1fJvYLIYQQQgghKhTpiRFCCCGEEKKcGB6S0WSxsbEl2s/Pz69E+0kSI4QQQgghhLgntWvXRinB/B69Xl+i40kSI4QQQgghhLgn3333XYmSmJKSJEYIIYQQQohyomoejvFkL7zwQpkeTyb2CyGEEEIIISoU6YkRQgghhBBC3BcHDhwgOjqa1NRUs2WXFUXhvffeK1G7ksQIIYQQQgghSlVycjKBgYEcPnwYVVVRFAVVVQGMP99LEiPDyYQQ4h6Eh4fj7+9PVFSUsSwqKgp/f3/Cw8PLMbLimTlzJv7+/uUdhhBCVDqqUvRHRTJlyhR+++03Vq9ezblz51BVlZ9++okzZ84wbtw4mjdvzqVLl0rcvvTECCGEsGj37t2cPn2asWPHltkxs7OzCQsLY8eOHZw9e5a0tDTs7e3x8/PD39+fPn36ULt2bcaMGUN0dHSR2pwxYwZBQUF3rPPVV1+xfPlyatasyY8//njHumfOnGHt2rVER0dz9epVDAYD7u7uPProo3Tq1Inu3btjZSV/XoUQldvWrVsZO3YszzzzDElJSQBoNBrq1avH/PnzGTBgABMnTuT7778vUfvyW1YIIUpZy5YtOXDgQIW6kH333Xf597//bVK2e/duNm/eXGZJzMWLF3njjTc4f/48LVu2ZPjw4Xh6epKZmcmZM2cICwtj5cqVbN68mVGjRtGvXz/jvikpKXzxxRe0aNGC/v37m7T72GOP3fG4Op2OLVu24OvrS1xcHEePHqVVq1YW63733XcsWrQIZ2dnunXrRt26dbGysuLq1ascPnyYGTNmcOzYMd555517fj+EEKIiS0lJoUmTJgA4OTkBkJ6ebtzerVs33n777RK3X3H+wgohRAWh0WiwtbUt7zCKxcrKqlyTrqysLCZOnMjFixf59NNP6dy5s1md7OxsVq9ejaIoPPHEEybbLl26xBdffEGNGjXo1atXsY69f/9+kpKSWLhwIe+88w5hYWEWk5jw8HAWLFjA448/zieffGL8o5xvzJgxnD59muPHjxfr+EI8KBKcXPioUx/mfqYr1zgUQKMAKtRxgb71oZmnwu44ld8SwdcJAh/RMPxRBSebCjbGygK1DO+tUpaqV69OQkICALa2tlStWpXjx4/Tt29fAOLj4+/pvjKSxAghKpXs7GyWLl3KTz/9xJUrV7C2tsbb25t27drx+uuvA+Dv70/v3r3p2bMnCxcu5K+//sLJyYmuXbvyyiuv4ODgcMdjREVFMW7cOLNhTKqqsmnTJjZt2sS5c+eAvF/ynTt3Zty4ccZ6OTk5rFy5km3btnHx4kVsbGxo0aIFY8eOpVGjRsV+zZs3b2bt2rXExsai0+nw8PCgWbNmvPnmm7i5uQF5c2I2b95snNtTcLhWwbkyBV9TYmIiISEhxiTA1dWVDh068PLLL+Pu7l6sGDdt2kRMTAzBwcEWExjI+yMYHBxc7NefkpJCSkoKnp6eZokHQGhoKDVq1MDf358ePXqwceNGpkyZYlI3NzeX+fPn4+joyIcffmixHYCGDRvSsGHDYscoRJlSBlgs3tqoOXM73nnoZVlQAX3e/G/OpsLnUfmleaKvQNjfBuYchUMjtDg/BInMwyggIIDIyEhjz/QzzzzDJ598glarxWAwMGfOHLp3717i9iWJEUJUKh9//DFhYWEEBgby7LPPotfriYuL48iRIyb1/vzzT3bs2EG/fv0IDAwkKiqKH374gb///pv58+ej0RR/XZTp06cTERFB06ZNGTVqFM7OzsTExLBjxw5jEqPT6ZgwYQK//fYbvXr1YsiQIaSnp/Pjjz/y4osvEhISQuPGjYt8zC1btjBz5kxatGjBuHHjsLW15cqVKxw4cIDk5GRjEnO7UaNGoaoqv/76K++//76xPH9oVkJCAsHBweTm5tK3b1/jUKwNGzYQFRXFihUrCr3Qt2Tnzp0AJkPESsuaNWsICQmxODcmMTGRn3/+mRdffBFFUQgKCmL16tVs376dAQNuXegdP36cxMREAgMDcXFxKfUYhSgzf10sdNMLR/cyu8sgznt4l2FAJXcqGVaeVHm5uSQxD6JJkyYRGRlJdnY2tra2zJw5kz/++MO4GllAQADz5s0rcfuSxAghKpXdu3fTrl07Zs2adcd6Z8+e5bPPPqNTp04ADB48mM8++4wffviByMjIYn97FBkZSUREBD179mTWrFkmSVDBdfPXrFnD0aNHmTdvHm3btjWWDxo0iGeeeYY5c+bwzTffFPm4u3fvxtHRkYULF5oMFyvY82PJE088wbZt2/j1118tDs/65JNP0Ol0rFq1Cm/vWxc8Xbp0ITg4mFWrVhVrLs3ff/+No6MjNWrUMCnX6/WkpaWZlNnZ2WFnZ1fktu9k8+bNGAwGAgMDAahfvz4NGjQgNDTUJIk5e/YsAA0aNDBrIyMjg9zcXJMyV1fXUonvXiUnJ+Po6Ggc3pieno6qqjg7OwN5vX5paWl4eHgY97l8+TI+Pj6FPk9ISMDb29s4DESOUcGOsf8UNlimUVW801IrTBIDEJ9+q4fmQTgf4pZmzZrRrFkz43M3Nzf+97//kZKSglarNb7PJSVLLAshKhUnJyfOnTtnvCgtTK1atYwJTL4XXngByEsMiisiIgKAiRMnmvXiFHweERFB7dq1efTRR43DoFJSUtDpdLRp04bjx4+TlZVV5OM6OTmRlZXF/v37jevz36v09HT2799PQEAAtra2JnFWr14dX19fDh06VOw2LfXcnD9/ni5dupg81q1bV6y2x44dS1RUlMUVysLCwmjRooVJ8hQUFMQff/zB33//bSzLyMgAwNHR0ayNWbNmmcR3t5XQypK7u7vJ/CwnJyeTCwcbGxuTCzTA7ILs9ufVqlUzGccux6hgxwjuSmFiXT04UrNuodsfRH3q3vr9+SCcj5IwKEV/VCQnT560WO7q6nrPCQxIT4wQopKZNGkSM2bMYOjQocZ5EB06dCAgIMAkmahTp47Zvp6enjg7OxMfH1/s48bFxeHp6Wn2B/F258+fJzs7my5duhRaJyUlhWrVqhXpuMHBwURHRzN58mRcXFxo2bIlTz75JF27drV4QV4UMTExGAwGQkNDCQ0NtVjn9h6Vu3FycjJZtaZgO/Pnzwfgr7/+Ys6cOcWOtzC//vorsbGx9OrVi7i4OGN506ZN0Wg0hIaGMmnSJOBW8pKfzBQ0ZswYBg4cCMCcOXO4eLHw4TpCPIhUIMbNi+HDX8PKoEev1ZZ3SGY87SA5Gwz/fBfjZQ8fBWh43KeCXdlXIk2bNqVp06YMHTqUIUOGUK9evVJtX5IYIUSl0qlTJ8LCwjhw4ADR0dEcPnyY0NBQWrRowYIFC7C2ti7vEKlXrx5vvPFGodsLm8diiZ+fH+vWrePw4cMcOXKE6OhoZs+ezeLFiwkJCcHX17fEcfbs2ZPevXtb3Fbc1dnq1q1LdHQ08fHxJgmQvb09bdq0AUBbyhdW+QnYokWLWLRokdn2iIgIXnvtNaysrIx/fM+cOWNWr169esbtpfHtohD3nbrRZHK/AtS5fo0DC6ZjAKw/WWO2iz9QFWjVCFwdoJY7uDiAsy1k5oBvFcg1gKIFOy3k6MDFFm7qwN4KtFZgawWKknc8gwoONhoycgzYWoGVJu9nB2sFvapipdGgMxiws7LCoKpo/ulB0RkMaBTF+Fw8uBYuXMjatWuZPn067733Hs2bNzcmNLVq1brn9iWJEUJUOi4uLvTq1YtevXqhqirz5s1j+fLl7Nmzx9gDcv78ebP9EhMTSUtLK3YvA+QlE3v27CEpKemOvTE1a9bk+vXrtG7dukSLB1hiY2ND+/btad++PZC3pPDEiRNZtWoVb731VqH7Fbb0pa+vL4qiGIe4lYannnqK6OhoNm3axPjx40ulzTvJyMhgx44dtGnTxuy+MpA3B+a///0ve/bs4emnn+Zf//oXHh4e7N69m5SUlAdmzosQpUmjqiiAOrnsLg9d7DRmP+d/lWT1z+/AggmLVSn9XnyQPKxLLI8dO5axY8dy5coV1q1bx9q1a5k2bRrTpk3j8ccfZ+jQoQwePJjq1auXqP2H75MghBCFsDRJXFEU45K4qampxvILFy6YzX1ZtmwZAB07diz2sXv27Ank3Rm+4ER+wGSuSmBgIElJSaxatcpiO/l3PS6qlJQUs7L8ZZoLvl5L7O3tLdZzdXXlySefZOfOnZw4ccJsP1VVuX79erHi7NevH7Vr12bFihXs2rWrWPveTUpKCjExMSbD1bZv387NmzcZOHCg2ZybLl268MILL2BnZ0dYWBgA1tbWjB8/noyMDN5++22LQ9+EEEKY8/b25tVXX2Xv3r3Exsby+eefoygKb7755j31yEhPjBCi0sjMzKRHjx4EBATQsGFD3NzcuHTpEuvXr6dKlSoEBAQY69arV4/33nuPfv364efnR1RUFDt27KBly5Z069at2Mfu0qULXbt2ZcuWLcTFxREQEICzszOxsbH88ssvrF27FoBhw4Zx6NAh5s6dy5EjR2jdujWOjo4kJCRw5MgRbGxsWLx4cZGPO378eJydnWnRogXe3t6kpaURHh6Ooih3vSlks2bNWLt2LR999BHt27fHysqKpk2bUqNGDaZNm8ZLL73E6NGjCQwMpGHDhhgMBuLj49m7dy+9evUq1upkdnZ2zJkzhzfeeIMpU6bQqlUrnnjiCTw8PMjIyCAmJobIyEi0Wq3JamhFYWmJ5dDQUOzs7GjXrl2h8bRr1449e/Zw9epVqlatSp8+fbh27RqLFi2ib9++dOvWjbp162JlZUViYiIHDx7k2LFj1K1bsSZGCyFEWfHx8aFJkyY8+uij/P777xbnGRaVJDFCiErDzs6OYcOGcfjwYQ4fPkxmZiaenp4EBAQQHByMl5eXsW6jRo144403WLBgARs3bsTR0ZEhQ4Ywfvz4Eg/z+uCDD2jRogWhoaGEhISg1WqpXr26ySR+Kysr5syZw/r169m6dasxYfHy8qJJkyaFzkEpzKBBg4iMjGTjxo2kpqbi4uJCw4YNmTp1qslNLC3p3r07p0+fZvv27ezYsQODwcCMGTOoUaMG1apVY+XKlSxbtow9e/YQERGBjY0N3t7edOjQga5dC18BqTC+vr6sWLGCsLAwduzYwcqVK0lPT8fe3p6aNWvSt29f+vbtS+3atYvddkF///03v//+O507d77jUs1PPfUUO3fuZPPmzYwaNQqAF198kfbt27N27VoOHjxIWFgYqqri5ubGo48+yvvvv1+iJFcIUXmpD+doMiNVVdm9ezdr1qzhxx9/JDExETc3N4YOHcozzzxT4nYVtbTW3BRCiIeEv78/vXv3ZubMmeUdihBC3B8FJvYXpAKKurFsY6nkltVZX+S6I88Puo+RlK59+/axdu1a1q9fz9WrV6lSpQr9+vXjmWeeoUuXLib3LisJ6YkRQgghhBBClKqOHTvi5OREUFAQzzzzDD169MDGprBbrRafJDFCCFEBJSYm3rWOk5NTqd3ZviRyc3PvungA5C0ZXdrLJwshhChf69atIzAw8L79HZIkRgghKqAePXrctU7Biezl4fjx44wbN+6u9cLCwkq8xKYQQlR0hod0ieX8mwDfL5LECCHEbaKioso7hLvKv4v9nZT3KlkNGjQoUpx3um+OEEIIYYkkMUIIUQGV1k0m76cqVapUiDiFEEJUPJLECCGEEEIIUU4e9iWW75eS3exACCGEEEJUXM89Ud4RCHFPJIkRQgghhKhslk8t7wiEuCeSxAghhBBCVEbTugJ5N7hUAQOgK894KilVUYr8qGhu3LjBRx99RPfu3WnRogWHDx8GIDk5mS+++IKzZ8+WuG2ZEyOEEEIIURl9+DJ8+DK63FyWLFkCQHBwcDkHJR4WFy9epGPHjsTFxVG/fn3+/PNP0tPTAXB3d2fx4sVcuHCBuXPnlqh9SWKEEEIIIYQQpWrKlCmkpaVx7NgxqlatStWqVU229+vXj82bN5e4fRlOJoQQQgghhChV27dv57XXXqNx48YoFobCPfLII8TFxZW4femJEUIIIYQQopxUxLkuRXHz5k28vLwK3Z6WlnZP7UtPjBBCCCGEEKJUNW7cmL179xa6fdOmTbRo0aLE7UsSI4QQQghRidnMhbE3hpORUd6RiIfJxIkT+eGHH/j4449JTU0FwGAwcPbsWZ577jl++eUX3njjjRK3r6iqqpZWsEIIIYQQomK4ek2H9zLIW2BZ+ef/oE62LseoKp+QBj8Wue7oM/3vYySl74MPPmDmzJmoqorBYECj0aCqKhqNhtmzZ/PWW2+VuG1JYoQQQgghKiHlM0t3hVHJGK/gYC/TpsvKw5zEAMTGxrJhwwbOnj2LwWCgbt26DBgwgEceeeSe2pVPqBBCCCGE+IeC43xQJ5d3HKIiy8zMpEOHDowePZpx48bd07CxwsicGCGEEEIIIUSpcXBw4Pz58xaXVi4tksQIIYQQQghRTlSNUuRHRdKjRw9++umn+9a+JDFCCCGEEEKIUvXee+9x5swZnnvuOfbv3098fDzJyclmj5KSOTFCCCGEEEKIUtWkSRMATp48yerVqwutp9frS9S+JDFCCCGEEEKUE/U+zhspT9OnT7+vc2IkiRFCCCGEEEKUqpkzZ97X9mVOjBBCCCGEEKJCkZ4YIYQQQgghyklFW3WsqN5///271lEUhffee69E7Suqqqol2lMIISqh8PBwZs2axaJFi/D39wcgKiqKcePGMWPGDIKCgso5wqKZOXMmmzdvJioqqrxDEUKUE+UzXaHb1MnyPXdZWdQkrMh1x/3R5z5GUro0msIHfCmKgqqqKIoiE/uFEELcm927d3P69GnGjh1bZsfMzs4mLCyMHTt2cPbsWdLS0rC3t8fPzw9/f3/69OlD7dq1zfa7ceMGa9asYd++fcTGxpKVlYW7uztNmjShZ8+edO7cuVgTSr/66iuWL19OzZo1+fHHH+9Y98yZM6xdu5bo6GiuXr2KwWDA3d2dRx99lE6dOtG9e3esrOTPqxCicjMYDBbLLly4wPz589m7dy8RERElbl96YoQQohgs9cQYDAZyc3OxsrJCq9WWc4RFo9Pp0Ov12NraGsvKunfm4sWLvPHGG5w/f56WLVvyxBNP4OnpSWZmJmfOnGHv3r3cuHGDzZs3U7VqVeN+v//+O2+++SbXr18nICCAli1b4ujoyLVr1zhw4AAnTpzgrbfeYvDgwUWKQ6fTERgYiL29PRcvXmTx4sW0atXKYt3vvvuORYsW4ezsTLdu3ahbty5WVlZcvXqVw4cPc+zYMfr3788777xTKu+REPeT9MQ8GB7Wnpi7efbZZ1FV9Y7LL9+JfEKFEOIeaTQak2SgIrCysirX3oKsrCwmTpzIxYsX+fTTT+ncubNZnezsbFavXm3So5KYmMikSZPIzs7mm2++oXnz5ib7vPTSS/zyyy/cuHGjyLHs37+fpKQkFi5cyDvvvENYWJjFJCY8PJwFCxbw+OOP88knn+Dk5GSyfcyYMZw+fZrjx48X+dhCPGg0Bj1rvv0IppTC59hWC+7O4OYEKGD1z/AigwEeqw2zh0FNL9h/Cuys4YmG937MiughXWL5bgICAnjrrbdKvL8kMUKIh1p2djZLly7lp59+4sqVK1hbW+Pt7U27du14/fXXAfD396d379707NmThQsX8tdff+Hk5ETXrl155ZVXcHBwuOMxCpsTo6oqmzZtYtOmTZw7dw6A6tWr07lzZ8aNG2esl5OTw8qVK9m2bRsXL17ExsaGFi1aMHbsWBo1alTs17x582bWrl1LbGwsOp0ODw8PmjVrxptvvombmxtg3usyZswYoqOjje9HvoKvKTExkZCQEONFv6urKx06dODll1/G3d29WDFu2rSJmJgYgoODLSYwALa2tgQHB5uUrVixguTkZKZNm2aWwORr27atyfOUlBRSUlLw9PQ0SzwAQkNDqVGjBv7+/vTo0YONGzcyZcoUk7q5ubnMnz8fR0dHPvzwQ4vtADRs2JCGDSvphZioUArrhXHKyWbQmVJKxLP1cDkl73G73+Ng9T5wcYDUzLyydg0h4j2ocuffueLhEBUVdcd5M3cjSYwQ4qH28ccfExYWRmBgIM8++yx6vZ64uDiOHDliUu/PP/9kx44d9OvXj8DAQKKiovjhhx/4+++/mT9/fol+0U6fPp2IiAiaNm3KqFGjcHZ2JiYmhh07dhiTGJ1Ox4QJE/jtt9/o1asXQ4YMIT09nR9//JEXX3yRkJAQGjduXORjbtmyhZkzZ9KiRQvGjRuHra0tV65c4cCBAyQnJxuTmNuNGjUKVVX59ddfTVaUeeyxxwBISEggODiY3Nxc+vbti6+vL3FxcWzYsIGoqChWrFhR6IW9JTt37gSgX79+Rd4nfz9ra2t69+5d5H3WrFlDSEiIxYUXEhMT+fnnn3nxxRdRFIWgoCBWr17N9u3bGTBggLHe8ePHSUxMJDAwEBcXl2LFLERFkm5jR6a1DQ65OWVzwPwEBuDn0/DVFni3aENBxYNt+fLlFstTUlLYu3cvGzdu5KWXXipx+5LECCEeart376Zdu3bMmjXrjvXOnj3LZ599RqdOnQAYPHgwn332GT/88AORkZF07969WMeNjIwkIiKCnj17MmvWLJMkqOBkxzVr1nD06FHmzZtn0oMwaNAgnnnmGebMmcM333xT5OPu3r0bR0dHFi5caDJcrGDPjyVPPPEE27Zt49dff6VXr15m2z/55BN0Oh2rVq3C29vbWN6lSxeCg4NZtWpVsRYE+Pvvv3F0dKRGjRom5Xq9nrS0NJMyOzs77OzsyMjI4PLly9SrVw87O7siH+tONm/ejMFgIDAwEID69evToEEDQkNDTZKYs2fPAtCgQQOzNjIyMsjNzTUpc3V1LZX47lVycjKOjo7G4Y7p6emoqoqzszOQ1wuYlpaGh4eHcZ/Lly/j4+NT6POEhAS8vb2Nw/zkGBXzGGA5GTdoNGTY2JZdEnO76Lxe6wfpvSrOMUriYV1i+YUXXih0m6enJ9OmTWP69Oklbl+SGCHEQ83JyYlz585x9uxZ6tWrV2i9WrVqGROYfC+88AI//PADu3fvLnYSk7/iysSJE816cQo+j4iIoHbt2jz66KOkpKSY1GvTpg1btmwhKyuryBftTk5OZGVlsX//fjp27FisFboKk56ezv79+wkKCsLW1tYkzurVq+Pr68uhQ4eKlcSkp6fj6elpVn7+/HmGDh1qUvb666/z3HPPkZGRAYCjo2Ox4h87dmyhsYWFhdGiRQuTZCooKIjPP/+cv//+m7p16wLc8dizZs0y9iwB2Nvbs2/fvmLFeL/cPszv9t4yGxsbkws0wOyC7Pbn1apVk2M8FMewPJzM+0YKXhlpFreViTb1gQftvSr6McQt58+fNytTFAU3NzdjongvJIkRQjzUJk2axIwZMxg6dKhx3kOHDh0ICAgwSSbq1Kljtq+npyfOzs7Ex8cX+7hxcXF4enqa/QG83fnz58nOzqZLly6F1klJSTH741uY4OBgoqOjmTx5Mi4uLrRs2ZInn3ySrl27FvviP19MTAwGg4HQ0FBCQ0Mt1rm9R+VunJycSE9Pt9jO/PnzAfjrr7+YM2eOcVt+/JmZmWb7lcSvv/5KbGwsvXr1Ii4uzljetGlTNBoNoaGhTJo0yeTY+clMQWPGjGHgwIEAzJkzh4sXL5ZKfEKUh5vWNmV7QK8qcO2fhTi6N4cJgWV7fHHfKIqCl5cX9vb2FrffvHmTa9eu4efnV6L2JYkRQjzUOnXqRFhYGAcOHCA6OprDhw8TGhpKixYtWLBgAdbW1uUdIvXq1eONN94odHth81gs8fPzY926dRw+fJgjR44QHR3N7NmzWbx4MSEhIfj6+pY4zp49exY6F6W4q7PVrVuX6Oho4uPjTRIge3t72rRpA2C2XLWjoyM+Pj7ExMQUq3eqMPkJ2aJFi1i0aJHZ9oiICF577TWsrKyMvXhnzpwxq1evXj3j9tL4dlGIsqBOtrI4uf+GnT3fNn2CF38/WLKG878bUgFPZ6juDtVcQA/Y/nPZqTNAy0fgzT55q5f9eg7sbeHRkv9+Eg+eOnXqsGLFCoYPH25xe1hYGMOHD5ebXQohRGFcXFzo1asXvXr1QlVV5s2bx/Lly9mzZ4+xB8RSt3diYiJpaWnF7mWAvGRiz549JCUl3bE3pmbNmly/fp3WrVvf0yotBdnY2NC+fXvat28P5C0hPHHiRFatWnXH5SwLG3rm6+uLoijodDpjgnGvnnrqKaKjo9m0aRPjx48v8n6dO3dm9erVbN261WTOSnFlZGSwY8cO2rRpQ//+/c22nz17lv/+97/s2bOHp59+mn/96194eHiwe/duUlJSHpg5L0KUOkXhpZGTeLEs7xPTsm7ZHesBpD6kSyzf7VaUubm59/R3r3T+YgohxAPI0iRxRVGMS+CmpqYayy9cuMDu3btN6i5btgyAjh07FvvYPXv2BPLuBH/7XYsL/mIPDAwkKSmJVatWWWwnKSmpWMe9fV4NYFymueDrtSS/y//2eq6urjz55JPs3LmTEydOmO2nqirXr18vVpz9+vWjdu3arFixgl27dhV5v+effx43Nze++uorfvvtN4t1Dh48yE8//WR8npKSQkxMjMnwte3bt3Pz5k0GDhxIly5dzB4vvPACdnZ2hIXl3YTO2tqa8ePHk5GRwdtvv21xKJwQQlR2N27cIDY2ltjYWCDvb1j+84KP3377jR9++OGe5hRJT4wQ4qGVmZlJjx49CAgIoGHDhri5uXHp0iXWr19PlSpVCAgIMNatV68e7733Hv369cPPz4+oqCh27NhBy5Yt6datW7GP3aVLF7p27cqWLVuIi4sjICAAZ2dnYmNj+eWXX1i7di0Aw4YN49ChQ8ydO5cjR47QunVrHB0dSUhI4MiRI9jY2LB48eIiH3f8+PE4OzvTokULvL29SUtLIzw8HEVRLK46VlCzZs1Yu3YtH330Ee3bt8fKyoqmTZtSo0YNpk2bxksvvcTo0aMJDAykYcOGGAwG4uPj2bt3L7169SrWxH47OzvmzJnDG2+8wZQpU2jVqhVPPPEEHh4eZGRkEBMTQ2RkJFqt1mQ1NE9PT7788kvefPNNXnrpJTp27EjLli1xdHTk2rVr/PLLLxw7doxp06YZ97G0xHJoaCh2dna0a9eu0PjatWvHnj17uHr1KlWrVqVPnz5cu3aNRYsW0bdvX7p160bdunWxsrIiMTGRgwcPcuzYMeNiAEIIUdl8+eWXxmX6FUVh4sSJTJw40WJdVVWZPXt2iY8lSYwQ4qFlZ2fHsGHDOHz4MIcPHyYzMxNPT08CAgIIDg7Gy8vLWLdRo0a88cYbLFiwgI0bN+Lo6MiQIUMYP358ibu7P/jgA1q0aEFoaCghISFotVqqV69uMonfysqKOXPmsH79erZu3WpMWLy8vGjSpEmx7ocCeUszR0ZGsnHjRlJTU3FxcaFhw4ZMnTrV5CaWlnTv3p3Tp0+zfft2duzYgcFgYMaMGdSoUYNq1aqxcuVKli1bxp49e4iIiMDGxgZvb286dOhA165di/3++Pr6smLFCsLCwtixYwcrV64kPT0de3t7atasSd++fenbty+1a9c22a9p06asXbuWNWvWsG/fPhYtWkR2djbu7u40bdqUzz///I69Z3///Te///47nTt3vuO8mqeeeoqdO3eyefNmRo0aBcCLL75I+/btWbt2LQcPHiQsLAxVVXFzc+PRRx/l/fffL1HSK4SovFTl4RkY1a1bN5ycnFBVlalTpzJs2DBatmxpUkdRFBwdHWnVqtVd/y7diaLebcCaEEI85Pz9/enduzczZ84s71CEEKLMWJrYn08tyzkxldz85hFFrjv+WM/7GEnpmjVrFgMHDqRp06b3pX35hAohhBBCCCFK1YwZM+5r+5LECCFEBZCYmHjXOk5OTqV2J/uSyM3NveviAZC3ZPTtyycLIURlpWoeztXJ8uXf4iA1NdVsoRtFUXjvvfdK1K4kMUIIUQH06NHjrnUKTlwvD8ePH2fcuHF3rRcWFkb16tXLICIhhBDlJTk5mcDAQA4fPoyqqiiKYlydM/9nSWKEEOIeREVFlXcId5V/F/s7Ke9VsRo0aFCkOO903xwhhBAPhylTpvDbb7+xevVq2rRpwyOPPMJPP/1EnTp1+PLLL/nll1+IiCj6fKDbycR+IYQQQohKSCb2Pxi+brmtyHVfjb57r/yDwsfHh2HDhvHFF1+QlJSEl5cXkZGRPP300wAMGDAAW1tbvv/++xK1//Cs6SaEEEIIIUQFoypKkR8VSUpKCk2aNAHy5mwCJjcK7tatm8mNiYtLkhghhBBCCCFEqapevToJCQkA2NraUrVqVY4fP27cHh8fj3IPiZn0FQohhBBCiH+oGN6Uy0Nx7wICAoiMjOSdd94B4JlnnuGTTz5Bq9ViMBiYM2cO3bt3L3H78ikVQgghhKiE1MlW/8yLUQHln/9zT9+OixJ4SN/uSZMmERkZSXZ2Nra2tsycOZM//vjDuBpZQEAA8+bNK3H7MrFfCCGEEKISUz7LBdJYXGU9wcHBWFtbl3dIlco8/6LPC5kQVfKeiwdFSkoKWq0WZ2fne2pH5sQIIYQQQlRiOa/D4irryzsMUUm4urrecwIDksQIIYQQQghRbh7W1ckAYmNjGTduHA0bNsTd3Z29e/cCkJiYyGuvvcavv/5a4rZlTowQQgghhBCiVJ08eZIOHTpgMBho06YNZ8+eRafLuzeRp6cn+/fvJyMjg2+//bZE7UsSI4QQQgghhChVU6dOxdXVlYMHD6IoClWrVjXZHhgYyJo1a0rcvgwnE0IIIYQQQpSqvXv38vLLL+Pl5WVxxTs/Pz/i4+NL3L70xAghhBBCVFJ5SywDBAMwdi6ok8svnspI1VS8uS5FYTAYcHBwKHT7tWvXsLW1LXH70hMjhBBCCFEJRUTkJzBKgUfBxEaIkmvZsiVbtmyxuE2n0/HDDz/wxBNPlLh9SWKEEEIIISqhXn9YKn04ewVE2fv3v//Ntm3bePnll/n9998BuHLlCv/73//o1q0bp06dYtq0aSVuX4aTCSGEEEIIUU4q4tLJRdGzZ0+WLl3K66+/zjfffAPAiBEjUFWVKlWqsHz5cgICAkrcviQxQgghhBBCiFL33HPPMWDAALZv387Zs2cxGAzUrVuX7t273/MNLyWJEUIIIYQQQtyzt99+m6FDh/LYY48ZyxwdHenfv3+pH0vmxAghhBBCCCHu2UcffWSc/wKQlJSEVqtl586dpX4s6YkRQgghhBCinDysc2Lyqap6X9qVnhghhBBCCCFEhSJJjBBCCCGEEKJCkeFkQgghhBBClJOHbThZTEwM0dHRAKSmpgLw119/4erqarF+y5YtS3QcRb1fA9WEKKKUlBS++OILDh8+TGJiIi1btjSuJy4efDNnzmTz5s1ERUWVetuXLl2iT58+jB49mrFjx5Z6+xXVmDFjuHz5MuHh4eUdihCiAlM+0xW6TZ0s33OXlS/aFX3S+6Sfn7qPkdw7jUaDcltSpqqqWVnBcr1eX6JjySdU3JPTp0+ze/dugoKCqF69eona+PLLL4mMjGTUqFHUqFEDd3f3Uo7SVHh4OGlpaQwfPvy+HkfcH2lpaaxevZpWrVrh7+9/346zePFiQkJCilS3d+/ezJw5877FIspPVFQUR48eZfjw4fd8TwMhhHjYLVmypMyOJUmMuCdnzpwhJCSEVq1alTiJOXToEE888QSjR48u5egsCw8P5/Lly5LEVAA+Pj4cOHAArVZrLEtLSzMmF/cziXnqqaeoWbOmSdkXX3wBwKRJk0zKfX1971sconwdPXqUkJAQgoKCJIkRQtwXD9NwspEjR5bZsSSJeQDo9Xpyc3Oxs7Mr71DKRVJSEi4uLuUdRqmo7OeytCmKgq2tbbkcu379+tSvX9+kbOHChQD06tWrPEKqsHQ6HXq9vtzOpRAPnWPn4GQs2FhB45qw/TjsPgYoYGMLtgr8cRF+jbtzOx+uBiu5FBQVk3xyy1h4eDizZs1i/vz5nDhxgvDwcBISEnj33XcJCgpCVVU2bNjApk2bOH/+PBqNhsaNGzN69GiTb50LzhWoVasWS5cuJTY2Fjc3N/r06cOLL76I1W2/mBITEwkJCWH//v0kJSXh6upKhw4dePnll02GcF27do2VK1dy5MgRLl++THZ2NjVq1CAwMJDnnnvO+K14weE248aNM+5f1KE1BfffvHkzmzdvBmDGjBkEBQUBeb00y5cv548//iAnJwc/Pz8GDRrEoEGDTNo6ePAgoaGhnDx5ksTERKytrWnSpAmjRo2iVatWxnpBQUFcvnwZMP0Wf9GiRfj7+xMUFISPj4/ZnJyoqCjGjRtnEltpncv817927VpiY2PR6XR4eHjQrFkz3nzzTdzc3O76XhZU1POc//6vX7+eLVu2sGXLFq5fv07t2rUZP3487du3N2k3OzubRYsWERERQVpaGnXr1uWVV14pVmwFJSQksHjxYo4cOUJSUhJOTk7UrFmTAQMG0Lt3b8B8Tkz+eQAICQkxfn58fHxM5ods376dNWvW8Ndff6HX66lXrx7PPfccXbp0KXG8hfn9999Zv349v/32G1euXEGr1RqP17lzZ5O6+fOHdu/ezbx589i5cycZGRk0atSISZMm0bRpU5P6N27c4KuvvmLXrl1kZ2fTuHFj3njjjUJjOXnyJN999x2//vormZmZ+Pj4EBgYyMiRI01+H+TPqVm8eDFffPEFUVFRKIpCx44dmTp1KnZ2dixdupRNmzaRmJhInTp1mDJlCs2bN7/r+5H/uVqzZg2hoaH873//IzExkQULFuDv709OTg4rV65k27ZtXLx4ERsbG1q0aMHYsWNp1KiRsZ2C/+YyMjJYu3YtCQkJVKtWjSFDhjB06FCzY8fGxhISEsLhw4dJTU3Fy8uLLl26MGbMGOzt7Y31YmJi+OGHH4iOjiYhIQG9Xk+dOnUYNGgQ/fr1MztfAH369DGW538eU1NT+e9//8vevXu5du0a9vb2+Pj40K1bN55//vm7vldCFNvWoxD4Qak1t+Ob2Tz9ysxSa0+IsiRJTDmZO3cuOp2O/v374+joSK1atQCYPn06P/30E08//TRBQUHk5uYSERHB+PHj+eSTT+jYsaNJO3v37iU+Pp7Bgwfj4eHB3r17CQkJISEhgRkzZhjrJSQkEBwcTG5uLn379sXX15e4uDg2bNhAVFQUK1aswMnJCchbQWLXrl106tQJX19fdDodv/zyC19//TXx8fG88847QN5wm8TERH788UeCg4OpU6cOUPShNfnDdaZPn06LFi3o378/AI899hgAGzdu5MMPP6RZs2aMGjUKe3t7Dh06xEcffUR8fDyvv/66sa3w8HBSU1Pp1asX3t7eXL16ldDQUF555RUWLVpEixYtAHjzzTf5+uuvSUlJMRkSlB97SdzrudyyZQszZ86kRYsWjBs3DltbW65cucKBAwdITk4uVhJTnPOcb+bMmVhZWTFixAhyc3P5/vvvmTx5Mhs3bjQZIvjOO++we/duOnToQNu2bbl48SJTpkwp0TBCnU7H+PHjuXbtGoMGDcLPz4/09HTOnj3Lr7/+akxiblenTh0mTZrEF198QefOnY1JgoODg7HOggUL+O6772jXrh3jxo1Do9Gwa9cupk2bxtSpUxkyZEix472T3bt3ExMTQ5cuXfDx8SE1NZXNmzczZcoUZs+eTY8ePcz2efXVV3Fzc+Oll14iNTWVVatW8frrrxMWFoajo6PxPXr11Vc5efIkvXr1olmzZpw5c4ZXXnnFYs/l/v37mTJlCjVr1mTEiBFUqVKFEydOsHjxYs6cOcPHH39sUv/mzZu8/PLLtGzZ0nicsLAwsrOzcXV15ffff2fIkCHodDpWrlzJpEmTCA8PN8Z3N++99x62trY8++yzKIqCp6cnOp2OCRMm8Ntvv9GrVy+GDBlCeno6P/74Iy+++CIhISE0btzYpJ01a9aQlJTEgAEDcHBw4KeffuKzzz7jxo0bjBkzxljv1KlTjBs3DmdnZwYMGEDVqlU5c+YMP/zwA8ePH+ebb74xJnJRUVFER0fTvn17qlevTlZWFv/73/+YPXs2169fJzg4GIABAwaQkZHBrl27mDRpknFlnfweumnTphEdHc3AgQOpX78+2dnZnD9/nqNHj0oSI0qfXg+9/69Um2x69SKKakBV5I4bogJSRZkKCwtTW7Vqpfbv31+9efOmybadO3eqrVq1Ujds2GBSnpubq44YMUINCgpSDQaDqqqqGh8fr7Zq1Upt3bq1eurUKWNdg8Ggvvnmm2qrVq3U3377zVj+xhtvqF26dFETEhJM2v7jjz/Uxx9/XF20aJGx7ObNm8bjFPTuu++qrVu3Vq9du2b2eo4cOVKCdyNPq1at1BkzZpiUXbt2TW3btq369ttvm9X/9NNP1datW6txcXHGsszMTLN6iYmJ6lNPPaVOmDDBpHz06NFq7969LcbSu3dvdfTo0WblR44cUVu1aqWGhYUZy0rrXE6ePFkNCAhQc3NzLcZUHMU5z4sWLVJbtWqlvv766ybn+/fff1dbtWqlzps3z1j2yy+/WDxPu3btUlu1aqW2atWqWHGeOXNGbdWqlbp06dI71sv/nBeM21JZvlOnTqmtWrVSv/76a7NtkyZNUgMCAtT09PRixVpQ7969zT47lj57N2/eVPv3768OGjTIpHzGjBlqq1at1A8//NCkPDIyUm3VqpW6fv16Y9mGDRssvs5Vq1aprVq1MokjKytL7datm/rSSy+ZfY5Wrlxp9m909OjRaqtWrdRly5aZ1J08ebLq7++vjhgxwqSd3bt3m8VXmPzP1ejRowuN5eeffzYpT0tLU3v16mXyby//31yHDh1MPs85OTnqc889pz7++OMm5UOHDlUHDBhgdn7z/y0W/Ldr6Zzp9Xp19OjRZv8W819PfHy8WcyWzqUQ982JGFWlf6k+jvu8rvJprsWHKDufPrmryA9xi6Te5WTQoEFm8ya2bt2Ko6MjnTp1IiUlxfhIT0+nQ4cOXLp0idjYWJN92rRpYzIEQ1EU4zeAu3btAiA9PZ39+/cTEBCAra2tSdvVq1fH19eXQ4cOGduws7MzLoWXm5tLamoqKSkptG3bFoPBwMmTJ+/Le1LQ//73P3Jycujbt69JvCkpKXTo0AGDwcDhw4eN9QsOFcnMzCQlJQWtVkvTpk35448/7mus93ounZycyMrKYv/+/aj3sOJ5cc9zvqFDh5osfdikSRMcHBxMPmu7d+8G4LnnnjPZt1OnTsaep+LI7w06evQoycnJxd6/MBERESiKQmBgoNnnJiAggIyMDE6cOFFqxwPTz15WVhYpKSlkZWXRunVrzp8/T3p6utk+ty8qkT+8MC7u1vj13bt3o9VqefbZZ03qDho0yKw35NChQyQlJREUFER6errJ637yySeNdQrSarU888wzJmXNmzdHVVUGDhxoMvwsvyezYHx3M3z4cLMhrREREdSuXZtHH33UJEadTkebNm04fvw4WVlZJvv06NEDb29v43Nra2uGDx+OXq9n3759AJw9e5a//vqLHj16kJuba9J28+bNsbe35+DBg8Y2Cp6z7OxsUlJSuHHjBk888QQZGRnExMTc9fXZ2tpiY2PD77//zqVLl4r8vpS15ORksrOzjc/T09NJS0szPs/JySEpKclkn/wht4U9T0hIMPldJccoo2NUL/2VO5smxPFIUoKFLQaTZxXuvSrHY4iyI8PJyomfn59ZWUxMDBkZGXTr1q3Q/ZKTk00uGmvXrm1W55FHHgEgPj7e2K7BYCA0NJTQ0FCL7daoUcP4s06nY+nSpWzdupW4uDizC+sbN24U/sJKSf5FxJ3mXBS8+L148SLz58/n4MGDJr+AAItrk5emez2XwcHBREdHM3nyZFxcXGjZsiVPPvkkXbt2LfLQnfxjFuc857M0/M/FxcV4gyrI+yxpNBqLCUudOnW4cOFCkeOEvDkso0aNYunSpfTo0YMGDRrQunVrunTpQpMmTYrVVkHnz59HVVWzOVMF3f4H6V4lJyezcOFC9uzZYzEhS09PNxvCd/t5yB+mdPt77unpabavjY0NNWrUMPmcnz9/HoD333+/0Dhvf92enp5mE+2rVKkCYDZEML+8YHx3Y+nfxfnz58nOzr7j3KSUlBSqVatmfG5pqOftv+PyX//ixYtZvHixxXYLnpvMzEy++eYbIiMjuXLlilndovyOs7a2ZtKkSXz++ef06dOHRx55BH9/fzp16sTjjz9+1/3Lyu1L1lv6PHl4eJiU+fj43PF5wfMjxyjDY7g7Q8cmsKf0vpjTqCr9Txzh805Bt28xeVbh3qtyPIYoO5LElBNLq1epqoqbmxuzZ88udL+6deuW+Jg9e/YsdK5BwYuZL7/8kjVr1tC1a1dGjRqFm5sbVlZW/Pnnn8ybN++eeguKKv8Ys2bNwtPT02Kd/AvBzMxMRo8ezc2bNxk2bBj16tXD0dERRVFYunQpR44cKfJxC0t47nQjpns9l35+fqxbt47Dhw9z5MgRoqOjmT17tnGCdHGX7y3qec6n0VjukL3f5/mVV16hT58+7N+/n2PHjhEaGsqKFSt4/vnnee2110rcrqIofPXVV4W+rnv5N3Q7VVV59dVXOX/+PEOHDqVx48Y4OTmh0WgIDw9n27ZtGAwGs/0KLhl9e3sljQPg9ddfp0GDBhbreHl5mTwv7P2507bixFfYCn316tW74+IExV3IomBcI0aMoG3bthbr5CdikDe/a//+/fTv35+WLVvi4uKCRqPhwIEDrF692uI5s2TQoEF06tSJ/fv3c/ToUXbs2MHatWvp2rUrH374YbFfhxB3tfs/8NUWeGs5ZOXec3NPjn6Pw3Ub372iuK8epiWWy5IkMQ+QmjVrEhsbS7NmzUwmKt+JpWEP586dA25d5Pv6+qIoinHIxt1s3bqVli1bmv0RtjSU5H71cuTfn8PV1fWuMR8+fJhr164xffp0kxWE4NaSuAXdKeYqVapY/BY2/xvfoiruubSxsaF9+/bGFcH279/PxIkTWbVqFW+99VaRjlnc81wcNWrUwGAwcOHCBbMkIP9b8JLw9fVl6NChDB06lOzsbCZMmMDy5csZMWJEoTc9vdP5q1mzJj///DPVqlW7p8Uaiuqvv/7izJkzxtWqCtq0adM9tV2jRg0OHTpk1pOTk5NDfHy8yUV5fq+Hvb19qZ/70lSzZk2uX79O69at75hEFWTp83X777j816/RaO76+tPS0ti/fz+9evXi7bffNtlWcIhqvrv9jvP09KRfv37069cPvV5vXNBjxIgR99SrKEShXgvMe5SCnz/TlUo7QpQHmRPzAAkMDMRgMPD1119b3G5pGMyhQ4f4888/jc9VVWX58uVA3nwFyEsEnnzySXbu3GlxPoCqqly/ft34XKPRmH3jevPmTVavXm22b/7Y8tIeYta1a1dsbGxYvHix2Rh5yBuik5OTA9z6Vvv2mA8ePMjvv/9utq+DgwM3btyw+K2yn58fMTExXL161ViWk5PDunXrihV/cc5lSkqK2fb8eU7FGb5T3PNcHPkrqa1YscKkfPfu3cUeSgZ550+nM/3jaWtraxweeafP050+c/n3b5k/f77F3rPSHkqWfyF++2fp7NmzxnlEJdWxY0f0ej2rVq0yKV+/fj0ZGRkmZW3btsXd3Z2lS5da/MxkZWWZ7VMeAgMDSUpKMntN+Sydn23btpkM+crNzWX16tVotVpj0t+wYUPq1q3Lhg0buHjxolkbOp3O+L4Uds4SExMtJp75X0Lc/nnLysoy+92k1WqNK5eVxbBbIYSozKQn5gHSpUsXgoKCWLt2LX/++ScdOnTA1dWVq1ev8ttvv3Hx4kWzuQ7169dn3LhxDB48GE9PT/bs2cPhw4fp1auXcaliyFsK9KWXXmL06NEEBgbSsGFDDAYD8fHx7N27l169ehm/SX766afZuHEj//73v3n88cdJSkoiPDzc4rKuTZo0QaPR8N1333Hjxg3s7e2pUaOG2f0uisvb25tp06Yxe/ZsBg8eTK9evfDx8eH69evGC8R169ZRvXp1mjdvjoeHB3PmzOHy5cvGpVW3bt1KvXr1OHv2rEnbTZs2Zd++fXzyySc89thjaDQaWrdujbu7O0OGDGH79u288sorDBw4kNzcXLZu3Vrsm1cW51yOHz8eZ2dnWrRogbe3N2lpaYSHh6MoSrFvqlic81wcbdu2pUOHDmzevJnU1FTatWvHxYsX2bhxI3Xr1uXvv/8uVntRUVF88MEHPPXUU9SqVQsHBwdOnTpFaGgoTZs2tTjXK5+rqys1a9Zk+/bt+Pr64u7ujr29PQEBATRp0oQxY8bwzTffMHz4cLp06YKXlxeJiYmcOnWKAwcOmEzwvld16tThkUceYfny5WRlZVGrVi1iY2PZuHEj9erV49SpUyVuu0+fPvz444+EhIQQHx/PY489xunTp/nf//6Hr6+vSZJmb2/PrFmzmDx5MgMHDqRPnz7UrFmTtLQ0YmJi2LVrF59++qnZ/YnK2rBhwzh06BBz587lyJEjtG7dGkdHRxISEjhy5Ijxi4uC/Pz8eOGFFxg4cCAODg5s27aNkydP8tJLLxnHtyuKwvvvv8/LL7/MsGHDjHNUsrKyuHjxIjt37uTVV18lKCgIR0dHnnjiCSIiIrC1taVJkyZcvnyZjRs3UqNGDbMkMP932VdffUXPnj2xsbGhbt266PV6xowZQ+fOnalbty7Ozs7ExMSwfv16atSoYVwMQQgh7kbVyHCykpAk5gEzY8YM/P39+fHHH1m6dCm5ubl4eHjQqFEjxo8fb1Y/ICDAeLPLCxcu4O7uzksvvcRLL71kUq9atWqsXLmSZcuWsWfPHiIiIrCxscHb25sOHTrQtWtXY91Jkybh6OhIZGQke/bswdvbm/79+9O4cWOzifbVqlVj+vTpLFu2jI8++gidTkfv3r3vOYmBvIs4Pz8/Vq5cycaNG0lLS8PV1ZVatWrx8ssvGyfbOTs78/XXX/PVV1+xZs0a9Ho9jRo1Yu7cuYSGhpolMc8++yzx8fHs2LGDDRs2YDAYWLRoEe7u7jRv3pyZM2fy3XffMXfuXKpWrcrAgQNp3LgxL7/8crHiL+q5HDRoEJGRkWzcuJHU1FRcXFxo2LAhU6dOLfZFZ3HOc3F9+OGHLFy4kG3btnH48GHq1q3Lp59+yrZt24qdxNSvX5/OnTtz9OhRtm3bhl6vp1q1agQHBzNixIi77v+f//yHL774gvnz55OVlYWPjw8BAQFA3o0cGzduzA8//MD333/PzZs3cXd3p27dukyePLlEr70wWq2WuXPnMmfOHDZv3szNmzepW7cuM2fO5MyZM/eUxFhbWzN//nzmzp3Lnj172LlzJ40bN2b+/PnGhL2gtm3bsmzZMpYtW0ZERATXr1+nSpUq+Pr68uyzzxp7CMqTlZUVc+bMYf369WzdutWYsHh5edGkSROLc7meeeYZMjIyqjCJrAAA4t5JREFUWLNmjfFml2+++SbDhg0zqdewYUNWrVrFkiVL2Lt3Lxs2bMDR0REfHx+CgoJo3bq1se5//vMf5s2bx759+9iyZQs1a9bklVdewcrKilmzZpm027x5cyZMmMDGjRuZPXs2er2e0aNH88wzz9CnTx+OHj3K7t27yc3NxcvLi/79+zNy5Mhif/EhhBCieBS1LGZpi1J3+53MhRDiYRIVFcW4ceOYMWMGQUG3r5wkhCgNyh3mxKiT5XvusvJJx71Frjt1T8B9jKRikTkxQgghhBBCiApF0mxR6vR6fZEmkLu4uGBtbV0GEVVsmZmZZGZm3rGOVqst0dK0pa2ixJqamkpu7p2XJ7WzszO7Z4AQQghR2mSJ5ZKRJEaUuitXrpgtdWzJokWLyn2icUWwYsUKQkJC7ljHx8eH8PDwMoqocBUl1ilTphAdHX3HOr1792bmzJllE5AQQgghikXmxIhSl52dzbFjx+5a79FHHzW514Ww7OLFi3e9T42trS3Nmzcvm4DuoKLEeurUqbsugevl5WW8M7wQQjyMZE7Mg+HjTvuKXPet3R3uYyQVi3xCRamztbV9oG+4V9H4+vri6+tb3mEUSUWJ9dFHHy3vEIQQQghAhpOVlEzsF0IIIYQQQlQoksQIIYQQQgghKhRJYoQQQgghhBAViiQxQgghhBCV0K3J+2qB/6syqb+MqYpS5Ie4RZIYIYQQQohK6lbCogdyyHm9PKMRougk1RZCCCGEqMRyXoclS5b98yy4XGMRoqgkiRFCCCGEEKKcyDCxkpHhZEIIIYQQQogKRZIYIYQQQgghRIUiw8mEEEIIIYQoJzKcrGQkiRFCCCGEqKSUDzNBawVK3oT+sV8aUKeWc1BCFIEMJxNCCCGEqKysrEGjAUX556GhzWe68o5KiLuSJEYIIYQQohJSPryZl7iYFCoc1uvLJyAhikGGkwkhhBBCVEYyF+OBIHNiSkZ6YoQQQgghhBAViiQxQgghhBCVkfQAiApMhpMJIYQQQlRGWm3xysV9oUouWSLSEyOEEEIIIYSoUCSJEUIIIYQQQlQoksQIIYQQQlRGBkN5RyBEicmcGCGEEEKIykhVLZfr9cglYtmRJZZLRnpihBAlMnPmTPz9/cs7jPsqKCiIMWPG3Lf6dxMeHo6/vz9RUVGl1qYQQgjxMJA0WzxQoqKiOHr0KMOHD8fZ2dlk24kTJ1ixYgVnzpwhOTkZgGrVqtGlSxeGDx+Ok5NTeYQsKpnVq1fj7OxMUFBQeYdyT8LDw0lLS2P48OHF2iaEEEI8CCSJEQ+Uo0ePEhISQlBQkFkSc+HCBbKysujZsyeenp6oqsoff/zBd999x44dO1i2bBl2dnblFLl4GG3YsAHltm7+77//Hh8fn4ciibl8+XKhSUxh24QQD5HChpOJMiXDyUpGkpgKRq/Xk5ubWykv1nv37k3v3r1NygYNGkSdOnX46quv2LdvH127di2n6EqXqqrcvHkTBweH8g6lUrOxsSnvEB46WVlZWFlZYWVV8f78ZGRk4OjoWN5hCHH/yUW1qAAq3l+RSiQ8PJxZs2Yxf/58Tpw4QXh4OAkJCbz77rv07t2bDRs2sGnTJs6fP49Go6Fx48aMHj3a4jyFHTt28P/s3XdYFFf7N/Dv0ntVASkWNDY0woIlEYIK0dAiij4aUQMRRbEkljym/AQT82pMYsUIEhUBjRWliEailGBEmib2EkG6AgrS2WXn/cNnJ6y7wC5SRO7Pde2le/bMzJmZM8PcM+ecOXr0KO7duwcejwcDAwOMHz8en376KRQVFQEAtbW12LdvH+Lj4/HkyRNoaWlh7NixWLJkCYyMjMTKFRQUJLasRYsWoaioCDExMWyaq6srjIyM8OWXX2Lbtm24evUqOBwOxo4di88//xy9evUC8KKPRWxsLADAzc2Nnd7HxweLFy9udjsJy/b8+XNZN7HUZROqqqrC/v37cfHiRTx+/Bjq6uoYM2YMli5dChMTEzZfdXU1Dh48iCtXriA/Px81NTUwMDDA5MmT4ePjIxKEZmRkwNfXF/7+/qitrcXx48eRn5+Pjz/+uMX1fllpaSlCQkKQkpKCsrIy6OjowNbWFkuWLIGenh6bLzg4GCEhIThx4gTOnDmDM2fO4NmzZ+jfvz/8/PwwYcIEkfnW19cjKCgIZ8+eRWVlJczNzbF06VJZNzWruLgYwcHBSE9PR1lZGTQ0NGBqaorp06ezQapAIMCRI0cQHR2NwsJCcDgc6OvrY/To0fjyyy+lvgDeu3cv9u7di6ioKBgbG7PbaerUqeBwOPj999+hra0NAMjOzsbMmTOxbNkyfPzxxwD+rR979+4FALa+FxUVidT96Oho9O3bl/2ek5MjVX2SVmNjI4KDgxETE4OysjL069cPXl5emDJliljeW7duYf/+/bh69SpqampgZGQEZ2dnLFiwgN1urq6uKCoqElknAAgKCsKGDRua/U34PTc3FyEhIUhLS0NFRQV69+4NBwcHLFq0CKqqquw0wmM6Pj4eO3fuxKVLl/Ds2TNERUWJbK+WpKSkICwsDP/88w/q6uqgo6OD4cOHY9myZejXrx+br7S0FAcOHEBKSgqePHkCDQ0NDB48GPPnz8e4cePYfFlZWfjll19w8+ZN8Pl89O/fHzNnzsS0adNElis8l+3Zswc7d+5ERkYGnj9/zvZPkvZ4I6TdnMsCZmwBahrabZYPdHvjsJUtNjrMQIOCYrvNl5DOQEFMN7Bjxw7w+Xy4u7tDXV0d/fr1w/r16/Hbb79h8uTJcHV1BY/Hw9mzZ+Hn54ctW7bgvffeY6ffvXs3Dhw4gIEDB+Kjjz5Cr169kJ+fj4sXL8LX1xeKiorg8/lYtmwZ/vrrL0yePBmenp7Izc3FyZMnceXKFYSFhcHAwKDN61BSUoLFixfD3t4eK1aswP379xEZGYnq6mrs3r0bADB9+nRUV1cjISEBq1atgo6ODgBg8ODBIvOqq6tjP7dv38auXbugqKiIsWPHdljZgBcBjLe3N4qLi+Hm5oaBAweitLQUJ06cwMcff4zw8HA2oCopKUFUVBQmTZqEqVOnQl5eHllZWQgLC8Pdu3cRGBgoVo5ff/0VFRUVmDZtGvT19WXa3sXFxfDy8gKPx8OHH34IExMT5OXl4eTJk8jIyEB4eLhYn6GAgAAoKCjA09MTPB4Pv/76K9asWYPIyEiRC8yvvvoKiYmJsLW1xfjx45Gfn4+1a9dKfRHaFJ/Ph5+fH0pKSuDh4QEzMzNUVVXhwYMHuHr1KhvE7N+/H0FBQbC1tcWMGTMgJyeHwsJCJCcno6GhQeogxsbGBnv37kV6ejobxKSlpUFOTg4CgQAZGRmYPHkyACA9PZ2dpjnffPMNtm7dCh0dHXh7e7Ppurq67P+lrU+y2LVrF2pra+Hh4QHgxY2Er776Cg0NDSLN2lJSUrB27VqYmprC09MTWlpauH79OoKDg3Hv3j18//33AIDVq1cjMDAQ5eXlWLVqFTv9gAEDWvwNAG7fvg1fX19oampi+vTp6NOnD+7du4cjR47gr7/+wt69e8X2j5+fH/T19fHJJ5/I9IQxMzMTq1atgrm5Oby8vKChoYHS0lKkpaUhLy+PDWIKCwvxySef4OnTp3BycsLw4cNRW1uL69evIy0tjQ1ikpOTsXbtWujr68PT0xNqamo4f/48Nm7ciIKCAvj5+Yksv6amBosXL8aoUaOwdOlSti9eW443Ql5J2XPAaSPQzq2/zJ+V4P8uREK/pgp+0xe278yJ1AT05KtNKIjpBurq6nD48GH27n1CQgLOnj2LL7/8EtOnT2fzzZ49G15eXvjpp59gZ2cHDoeDGzdu4MCBA7C2tsaOHTugrKzM5l++fDn7/5iYGPz111+YN28eVq5cyaaPHTsWn376KQIDA/Htt9+2eR3y8vKwadMmkeZecnJyOH78OHJyctC/f3+MGjUKgwYNQkJCAuzt7Zu9SA4KCkJERAT7feDAgdi2bZvIk5D2LptwuQUFBThw4ADeeustNq+rqytmz56N4OBgBAQEAACMjY1x5swZkYu5WbNmYc+ePdi3bx9u3LgBCwsLkXIUFxfjxIkTbbqLu2XLFvD5fBw6dEgk+HFwcICXlxcOHTok9lRHR0cH27ZtY/t8WFtbY8GCBYiMjMSyZcsAAKmpqUhMTISLiwu7bgBgZWWFNWvWyFzO7OxsPHr0CMuXL8eCBQuazZeQkIABAwZg27ZtIulN66w0Ro4cCRUVFWRkZLB32tPT0/HWW2+hvr4e6enpIkGMhoYGhg4d2uz8nJycsGfPHujp6cHJyUliHmnrkyzKy8tx5MgR9sLYw8MDs2fPxrZt2+Do6AgVFRXU19fj22+/hYWFBfbs2cPWvRkzZmDw4MHYtm0bMjIyYG1tDXt7exw+fBj19fVi69HSb8CLQK5Xr14ICwsTaVo1ZswYrF27FmfPnhXrL2Rubt6m80dSUhIEAgF2794tclwsXCh6sbV582aUlJRg165dGD9+vMhvgv+9B6OxsRFbtmyBqqoqDh48iN69ewN4cVwuXrwYBw8ehKurK8zMzNhpKyoqMGPGDLEnj2053gh5JT9Ft3sA09SCjCQKYki3Q0MsdwMeHh4izY/i4uKgrq4Oe3t7lJeXs5+qqirY2tqisLAQubm5AIBz584BAJYtWyYSwAAAh8NhL2ATEhIgJycHLy8vkTwTJkzAW2+9heTkZPZioC169+4t1l9F2DQlLy9PpnlNnz4du3fvxubNmzF37lwoKSmhvLy8Q8vGMAzOnj0LS0tL9OnTR2S7q6qqwsLCAqmpqez0ioqK7EUkn8/H8+fPUV5ejjFjxgAAbty4IVYOZ2fnNgUwVVVVSElJgZ2dHZSVlUXK1rdvX5iYmODKlSti082ePVuk0/qIESOgpqbG1h0ASExMBADMmzdPZFp7e3uRpjzSEl6EZ2Zmsne1m8v35MkTXLt2TeZlNKWgoIDRo0eLDFGcmZkJGxsb2NjYIC0tDcCL/ZuVlQUrKyvIy8u/0jLbs64LeXh4iNzZ19DQwIwZM/D8+XNkZmYCAK5cuYKysjK4urqiqqpKpB68++67bJ5X8eDBA9y/fx9Tp04Fj8cTWcbo0aOhqqoqchwIeXp6tml5wnW+ePEi+Hy+xDwVFRW4fPky3nnnHbEABngRQAIvniAJn6IKAxjgxbE6f/58CAQCJCUliU3/ct1v6/HWVZ4+fYr6+nr2e1VVFSorK9nvDQ0NKCsrE5lG2Jywue/FxcVgmnQIp2V0wjLUO7YfbJ1iy03JutW26uJlkM5DT2K6gaZ3BoEX7e2rq6vx/vvvNzvN06dP0a9fP+Tm5oLD4Yg1yXpZYWEhevfuDS0tLbHfzM3Nce/ePZSXl7e5rbewKU9Twr4IFRUVMs3LzMyM3SYODg64fPkye4d+6tSpHVK2Z8+eoaKiAqmpqXBwcJA4H+HFktDx48dx8uRJPHz4UCwAbHqSFHp5P0srJycHAoEAUVFRiIqKkphH0jpKenKlra0tsj8KCgogJycnMWAZMGAAHj16JFNZjYyM4O3tjdDQUEydOhVvvfUWbGxs4ODggBEjRrD5/Pz8sGbNGixcuBC9e/cGl8vFhAkTMHnyZLYPl7Ssra2RmpqK7OxsKCoqorCwEDY2Nqivr8exY8fw5MkTdv+21JRMWu1Z14UkPb0RNu8qKCgA8OIpF/DiSUlzXv5jLCvhMoKDgxEcHCwxj6TgtC0BL/DiKUlSUhI2b96MXbt24e2338Y777yDKVOmsE348vLywDAMhgwZ0uK8CgsLAbx4cvsyc3NzAP9uSyFdXV2xURLberx1lZfP2S83c1NSUoK+vr5IWtM+kJK+Gxoa0jI6exmr3YANRwFeIzrC9gmSnywLdatt1cXLIJ2Hgphu4OWRyBiGga6uLjZu3NjsNMI/yoDoE5f20NK8Ghsln2BfvsBvinnFIR7Hjx8PfX19nDhxok1BjDRlE/47ZsyYFptBCUVERGD79u0YN24cZs+ejV69ekFRURElJSUICAiQ+FTrVUec++CDD8RGbxN6+Skc0Px6v+r+aM3SpUvh5uaGlJQUXLt2DVFRUQgPD8f8+fOxYsUKAMCoUaNw+vRpXL58mX130Llz57Bv3z788ssvbFAgDWFgkp6eDiUlJSgoKMDS0hI8Hg9ycnJIS0tjn+S1RxDTkXW9JcJ5r1y5UqS5Y1NNn0C8yjI8PT0lPvUAIPFGSFvrto6ODsLCwnD16lVcuXIFV69exdatWxEcHIwdO3Zg1KhRbZqvtFoqt6zHGyGvREUJuLUD+GAj8KC43WZ7Yrg1Tr09HoetbEV/aOE8RtofA+oT0xYUxHRDpqamyM3NxciRI1vtINuvXz/8+eefuHfvnlgfjKaMjY1x+fJlVFZWit15fPjwIdTV1dmO9sKLFEmjgRUWFr7S0KltDbbq6+vbNDqZtIR3ZKurq6UaQCAuLg59+/bFzp07RS5q//zzz3Yvm4mJCTgcDvh8fpsHN2iOsbExBAIBHj16JBIYA//elW8LExMTzJ49G7Nnz0Z9fT2WL1+OsLAweHp6snfG1NTUMHnyZLbPyvHjx/H9998jKioK8+fPl3pZQ4cOhYaGBtLT06GoqAgLCwuoqqpCVVUVQ4YMQXp6Op4/fw49PT2xdZSkPW8ISCsnJ0csTbj9hXf9hU/yVFVVpaoHLa1Hc78JlyEnJ9fuda058vLysLa2Zpvk3b9/H56enti3bx927NgBU1NTcDgc3L17t8X5CLfTw4cPxX4TpknzBKUjjzdCWjSoL3D/53ad5cwfJTfTJKQ7oFC7G3J2doZAIJA4whUg2mREOATrzz//DB6PJ5ZXeGfV3t4eAoEAoaGhIr9funQJd+/ehZ2dHXsxLryQEfYnEDp37hxKSkratlL/IwzKJAUkpaWlEqeJjY1FVVVVi0Haq5KTk8PUqVNx8+ZN/P777xLzNG1GIy8vDw6HI3Lnnc/ni23f9qCjo4N3330XFy9exPXr18V+ZxgGz549a9O8haPchYeHi6QnJibK3JQMeNHe+OW+DcrKymxzKeF+l9THSdjhXtZgVV5eHlZWVsjKymL7wwhZW1sjPT0dWVlZ4HK5UgUoqqqqHRowS3LixAlUVVWx36uqqnDy5EloamqCy+UCePFEUk9PD6GhoRKbrdXV1aG6upr9rqamhufPn0t8OtTcb0OGDIG5uTlOnjyJ/Px8sen4fH6bm8xJIqke9O/fHyoqKuw+0NbWxjvvvIM///xTYl8U4ToMHToUhoaGiImJETmX8Pl8hIeHg8PhiIzq2JyOPN4IIYRIj57EdEMODg5wdXXFsWPHcOfOHdja2kJHRwdPnjzB33//jfz8fLattoWFBRYsWICDBw9i7ty5eP/996Gvr4/CwkL2LfeamppwdXVFbGwsDh48iMLCQlhZWSEvLw8nTpyAvr6+yNCj/fv3x5gxYxAZGQmGYfDWW2/h3r17SExMhKmpabMdcKUhDER27tyJDz74AEpKSjA3N8egQYOwcuVKaGtrY9SoUTA0NERVVRWuXbuGpKQkGBgYYNGiRa+2YVvh5+eHv/76C1988QUuXLiAkSNHQlFREUVFRbh06RKGDRvGjuA1efJkBAYGYsWKFZg4cSKqq6vx22+/ddgL/tatW4eFCxfCx8cHzs7OGDJkCAQCAQoKCpCcnAwnJ6c2jZY0fvx42NraIjY2FhUVFXjnnXeQn5+PyMhImJub459//pFpfhkZGfjuu+8wadIk9OvXD2pqarh9+zaioqJgYWHBBjMeHh4YOXIkRowYgd69e6O0tBSnTp2CoqJii33BmmNjY4Pk5GQAou8+sbGxYQM0Se9XkmTkyJGIiorCnj17MGDAAHA4HNjZ2Ym8H6W96ejoYMGCBeyoX03fGSVs8qSqqooNGzZgzZo1mDFjBtzc3GBqaorKykrk5OQgISEBP/zwA7ueFhYW+OOPP7BlyxaMGjUKcnJysLGxgZ6eXou/ffPNN1iyZAnmzJnDDjVeV1fHDtu+bNkysdHJ2mrjxo148uQJxo4dCyMjI9TX1yM+Ph7V1dVwdnZm833++efw9vbGihUr4OLigmHDhqGurg43b96EkZERVqxYAXl5eXz++edYu3YtFixYAHd3d6ipqSE+Ph7Xr1+Hl5eX1P3SOup4I4T0TAwNsdwmFMR0U/7+/rC2tsapU6cQGhoKHo8HfX19DB06VOxdB8uXL8fgwYNx7NgxhIWFQSAQwMDAAO+++y57AaSgoIDAwED2ZZcJCQnQ1NTE5MmTsXTpUrHOcN988w1++OEHnDt3DnFxcbC0tERQUBA2bdr0SiN1jB49GsuXL0dkZCQ2btyIxsZG+Pj4YNCgQXB3d8fFixdx+vRplJeXQ0FBASYmJliwYAE8PT3Z5m4dRUNDA/v370dERATi4+ORnJwMeXl59OnTB6NHjxZ5Wd68efPAMAyioqLw008/QV9fH46OjnBzc8PMmTPbvWyGhoaIiIjAwYMHkZSUhLNnz0JJSQkGBgawtbUVGy1LFps2bcKePXtw7tw5pKWlwdzcnN33sgYxgwcPxsSJE9k+Lo2NjTA0NISXl5fICFaenp64dOkSjh49iqqqKvbC2svLq9n+Hi0RPn1RVlYW6UdhaWkJBQUF8Pl8qfvDLF26FBUVFTh+/DgqKyvBMAyio6M7NIhZvnw5rl27huPHj+Pp06cwMzPDxo0bxfqAjR8/HgcPHsTBgwdx9uxZPHv2DFpaWjAxMcHcuXNFBviYO3cuCgoKcOHCBZw8eRICgQBBQUHQ09Nr8bchQ4bg0KFDOHDgAJKTk3Hy5Emoq6vDyMgIrq6u7dKvSMjJyQkxMTHsC1nV1dUxcOBAfP/992wzQ+BFM7Dw8HD88ssvuHTpEs6cOQMtLS0MHjwY7u7ubD47Ozv8/PPP2LdvH8LDw8Hj8dC/f398/fXXYi+7bElHHm+EEEKkw2E6uhcvIYQQQgh57XBa6BPDrKH73J3l/5wypc77bRy3A0vSvVANJYQQQgjpiRobAUnvxmpsBF0idh5qTtY2VEPJG6eiokLiIAZNqaioiI0H/7qpqalBTU1Ni3nk5eXZ92V0pc4ua1VVFerq6lrMo6ioKNNQzJ2Fx+NJ1fldV1f3lV+8+bp69uxZs8OxC6mpqbU6+iIh5BVRYxzSjVEQQ944a9euRVZWVot5XFxc2E74r6vw8HCEhIS0mMfIyAgxMTGdVKLmdXZZf/zxR8TGxraYx8rKCnv37m2X5bWnv/76C76+vq3mi46ORt++fTuhRJ1v/vz5rfad8/Hxoc7xhHQVejJAugHqE0PeOLdv3251CNzevXtLfHP36yQ/P1/sDeIvU1ZWxujRozunQC3o7LI+fPiw1eG8tbS0MGzYsHZZXnt6/vw5bt++3Wq+0aNHv7EvTbx27Rrq6+tbzGNsbAwTE5NOKhEhPRP1iXk9fO3c8o3XpjaeserAknQvFMQQQgghhPRAFMS8Hr5yuSp13u9iLTuwJN0LveySEEIIIYQQ0q1QEEMIIYQQQgjpVuhZISGEEEIIIV2EoXEU2oSexBBCCCGE9ECS+70w1B+GdAsUxBBCCCGE9FCnBgEA87+PoGsLQ4gMKNQmhBBCCOmhpk1TQAOPhwMHDgAAvLy8urhEhEiHghhCCCGEEEK6iIBeLtom1JyMEEIIIYQQ0q1QEEMIIYQQQgjpVqg5GSGEEEIIIV2EoeZkbUJBDCGEEEJID6a0AwA+BsDgrUuAvX2XFocQqVBzMkIIIYSQHorzIx8ABy8uCeUxMaOLC0SIlCiIIYQQQgjpgV4EMGKpzaSTjsJwOFJ/yL8oiCGEEEIIIYR0KxTEEEIIIYQQQroVCmIIIYQQQggh3QqNTkYIIYQQQkgXEVBflzahJzGEEEIIIYSQboWCGEIIIYQQQki3Qs3JCCGEEEII6SIMtSZrE3oSQwghhBBCCOlWKIjpIcrLy7F+/XpMnToV1tbWWLRoUVcXiXQj1tbWCAgI6OpiEEIIIYQAoOZk3cLdu3eRmJgIV1dX9O3bt03z2LZtG+Lj4+Ht7Q1jY2Po6em1cylFxcTEoLKyEh999FGHLud1VVhYiJiYGNjb22PIkCEdtpzExETcvXsXixcv7rBlNCc4OBhDhgyBvb19hy0jJiYGGzZskCqvlZUV9u7d22FlaauMjAz4+vpi5cqVmDdvHptubW2NCRMmYPv27c1Ou2jRImRlZUm1HH9/f7i6ur5qcQkhhJBugYKYbuDevXsICQkBl8ttcxBz5coVjBs3Dj4+Pu1cOsliYmJQVFTUo4OYkJAQ9O3bt8ODmNjY2A4PYi5dugR5eXmRtJCQELi4uHRoEGNpaYlvvvlGJG3//v3IyckRS+/owLwreHt7Y9q0aez38vJybN26FZaWlnB3dxfJO2rUqE4uHSGEkPbAgDrFtEWPCWIaGxvB4/GgoqLS1UXpEmVlZdDW1u7qYrSLnr4vAaC6uhrq6uqdtjxlZeVOW1ZTJiYmMDExEUk7ffo0cnJy4OTk1CVl6kzjxo0T+V5YWIitW7fC2Ni41fWvq6uDgoICFBR6zGmeEEJID/JG/nUTNkHZvXs3rl+/jpiYGBQXF+Prr7+Gq6srGIbByZMncfr0aWRnZ0NOTg7Dhw+Hj48PrK2t2fkUFhbCzc0NPj4+6NevH0JDQ5GbmwtdXV24ubnhk08+EbtAKC0tRUhICFJSUlBWVgYdHR3Y2tpiyZIlIneKS0pKEBERgfT0dBQVFaG+vh7GxsZwdnbGvHnz2LvewcHBCAkJAQD4+vqy07u4uEjVR6Hp9LGxsYiNjQUg2vTkypUrCAsLw82bN9HQ0AAzMzN4eHjAw8NDZF6pqamIiorCrVu3UFpaCkVFRYwYMQLe3t7gcrlsPldXVxQVFQGAyPYMCgqCtbU1XF1dYWRkJNb0R9jspmnZ2mtfCtf/2LFjyM3NBZ/Ph76+PkaOHInVq1dDV1e31W0pVFxcjODgYKSnp6OsrAwaGhowNTXF9OnT4eLiItIEasOGDez/hc2dBAIBDhw4gNTUVOTm5qKiogL6+vqYMGEClixZAh0dHXZZTevggAEDEBYWhuzsbDg6OqKwsJBtatR0XWVpVlRRUYFffvkFycnJKCkpgaqqKoyMjPD+++9j/vz5bD5ra2u2zgnLJNymwjoFvNiHQtLWq1eVkJCAtWvX4quvvhJ7OgEAs2bNQkNDA06dOgUOh4NFixahqKgIe/bswdatW5GZmQkAsLGxwaeffioWNMlSx7pKQEAAYmNjER8fj507d+LSpUt49uwZoqKi0LdvXxw/fhyJiYl4+PAhnj17Bm1tbYwZMwZLliwRe7or3NfTp09HYGAgbt26BWVlZdjb22P16tVQU1Nj87Z2LACix3V1dTWOHTuG4uJiGBoaYtasWZg9e7bY+mRlZeGXX37BzZs3wefz0b9/f8ycOVPkqRQA/PPPP9i7dy/+/vtvlJeXQ0tLC/3798e8efMwYcIENl95eTmCg4ORnJyMsrIy6Ovrw87ODosXLxY53oTH7p49e3Dnzh2cOHECT548gZGREby9vdl1EkpJSUFYWBj++ecf1NXVQUdHB8OHD8eyZcvQr1+/tu5OQl5dQRkw/Xsg7UHL+TYdBuhGB+mm3uiau2PHDvD5fLi7u0NdXZ39o7J+/Xr89ttvmDx5MlxdXcHj8XD27Fn4+flhy5YteO+990Tmk5ycjIKCAsycORP6+vpITk5GSEgIiouL4e/vz+YrLi6Gl5cXeDwePvzwQ5iYmCAvLw8nT55ERkYGwsPDoaGhAQC4f/8+EhISYG9vDxMTE/D5fFy+fBmBgYEoKCjAV199BQCYNGkSSktLcerUKXh5eWHAgAEAIHah1ZxJkybB1NQU69evF2mCImx6EhkZiU2bNmHkyJHw9vaGqqoqrly5gs2bN6OgoAArV65k5xUTE4OKigo4OTnBwMAAT548QVRUFJYuXYqgoCBYWloCAFavXo3AwECUl5dj1apV7PTCsrfFq+7LM2fOICAgAJaWlvD19YWysjIeP36MS5cu4enTp1IHMXw+H35+figpKYGHhwfMzMxQVVWFBw8e4OrVq3BxcYGlpSW8vLxw4MABuLu7s9tFGMTyeDyEh4dj0qRJeO+996CiooJbt24hKioK165dQ0REBBQVFUWWm5SUhKNHj2LGjBmYMWMG1NXVoaWlBYZhcPXqVZGmVbI0K1q3bh2ysrIwY8YMDB48GPX19cjOzkZmZqZIENOUrq4uvvnmG7E61ZQs9epV2draQl9fH9HR0WJluX79Oh4+fIilS5eC0+SNyLW1tVi8eDEsLCywbNky5Obm4sSJE7h+/ToOHTqEXr16sXllPV90JT8/P+jr6+OTTz5BbW0tG3BERETAwsIC//nPf6CtrY1//vkHp0+fRnp6Oo4cOSJyIQ+8aML62WefwdXVFVOmTEFmZiaioqIgJyfHnpukORaaOnr0KMrKyjB9+nSoqanht99+w48//ojnz5+LDDSSnJyMtWvXQl9fH56enlBTU8P58+exceNGFBQUwM/PD8CLwGTJkiUAgBkzZsDQ0BDl5eW4ffs2bty4wQYxVVVV8Pb2Rl5eHtzc3DB06FDcvXsXJ06cQHp6Og4ePCj2VHP37t2or6/H9OnToaSkhBMnTiAgIAAmJiYYPXo0ACAzMxOrVq2Cubk5vLy8oKGhgdLSUqSlpSEvL4+CGNJ1ip8Bg5YCdbxWsxqXl6Kgl6H4DwJBBxSMNEfAoeZkbcK8gaKjoxkul8u4u7sztbW1Ir9dvHiR4XK5zMmTJ0XSeTwe4+npybi6ujICgYBhGIYpKChguFwuY2Njw9y+fZvNKxAImNWrVzNcLpf5+++/2fTPPvuMcXBwYIqLi0XmffPmTWbMmDFMUFAQm1ZbW8sup6mvv/6asbGxYUpKSsTWJz09vQ1b4wUul8v4+/uLpJWUlDDjx49nvvzyS7H8P/zwA2NjY8Pk5eWxaTU1NWL5SktLmUmTJjHLly8XSffx8WFcXFwklsXFxYXx8fERS09PT2e4XC4THR3NprXXvlyzZg1jZ2fH8Hg8iWWS1r179xgul8uEhoa2mE/SuggJBAKxdWEYhjl16hTD5XKZ8+fPs2nCOjhmzBjm4cOHYtP4+/szXC63DWvCMJWVlQyXy2U2bdrUal5J9UdSGsPIXq9k5ePjI7bOgYGBDJfLZf755x+R9G+//ZYZM2YM8+TJE7Hpf/zxR5G8wvr03XffiaVJU8eaI6wLYWFhIulcLpdZuXJlq+vblLA+vLzdhfXg66+/ljidpGP3ypUrEusyl8tlrK2tmevXr4ukr1ixghkzZgxTXV3NMIzsx4Ktra3IubGhoYGZN28eM2bMGDadz+czzs7OzHvvvSeyzxoaGhgvLy/GxsaGefToEcMwDJOYmCh2vEgirBvHjh0TST969CjD5XKZn3/+mU0Tnm/mzJnDNDQ0sOmPHz9mxo0bx3zxxRds2k8//cRwuVymrKysxeUT0un+3wmGgbtUnx8nhDD9vyhg8AOP/ah8V8Xg+/quXoseZeX0G1J/yL/e6CGWPTw8xPpNxMXFQV1dHfb29igvL2c/VVVVsLW1RWFhIXJzc0WmGTt2LIYOHcp+53A47F3qhIQEAC/u9qWkpMDOzg7Kysoi8+7bty9MTExw5coVdh4qKirsnWEej4eKigqUl5dj/PjxEAgEuHXrVodsk6Z+//13NDQ04MMPPxQpb3l5OWxtbSEQCJCWlsbmV1VVZf9fU1OD8vJyyMvLw8LCAjdv3uzQsr7qvtTQ0EBdXR1SUlLAMEybyyF8kpaZmYmnT5+2aR4cDoddl8bGRlRWVqK8vBw2NjYAgBs3bohNM2HChFd6kiWJsrIylJSUcOPGDRQWFrbbfGWtV+1h2rRp4HA4iIqKYtNqa2sRHx+Pd955B7179xabZsGCBSLfJ06ciH79+iEpKYlNa8v5oit5enpKTBceuwKBAFVVVSgvL8dbb70FDQ0NifVt5MiRsLCwEEmzsbFBY2MjW1dkPRamTp0KAwMD9ruioiI++ugjNDY24o8//gAA3L59G8XFxXBzcxPZZ4qKipg/fz4EAgG7f4TL//PPP1FVVdXschMTE6Grqyv2lG769OnQ1dVlz+FNzZw5U+RpaJ8+fWBmZoa8vDw2Tbj8ixcvgs/nt7r+XeXp06eor69nv1dVVaGyspL93tDQgLKyMpFphM2Bm/teXFwsch6lZbxey6gtKoW01BvqUKAl2hKhTkkZeOnJwJu6rTpiGaTzvNHNyczMzMTScnJyUF1djffff7/Z6Z4+fSrSFKB///5ieQYOHAgAKCgoYOcrEAgQFRUlciHVlLGxMft/Pp+P0NBQxMXFIS8vT+zC+vnz582vWDvJyckBACxdurTZPE0vTvLz87F7926kpqaKHOQARJrqdIRX3ZdeXl7IysrCmjVroK2tDSsrK7z77rtwdHSUqYO8sG18aGgopk6dirfeegs2NjZwcHDAiBEjpJ5PfHw8IiIicPfuXbELIEn7XtL6vypFRUWsWrUKP/30E9zc3DBw4EBYW1vD3t4eY8aMafN8Za1X7cHY2BhjxoxBXFwcli9fDgUFBcTHx6O6uhoffvihWH5NTU2RJmNCAwYMQGJiImpra6Gqqtqm80VXaq4c6enpCAkJwc2bN0X+YAMQO5YB0XOVkHBgkIqKCgCyHwuSgvCXz6PCAEmY3pS5ublIXi6XC2dnZ8TExODs2bMYPnw4xo4dC0dHR5HpCwsLMWzYMLH+iwoKCjAzM8OdO3ekXv/i4mL2+6xZs5CUlITNmzdj165dePvtt/HOO+9gypQpMvWx62gvj9onDL6ElJSUoK+vL5JmZGTU4ndDQ9HmR7SM12sZqgscgF2/QRr7uPbgKSiK//DSNcmbuq06YhltwVBzsjZ5o4MYSaNXMQwDXV1dbNy4sdnphH8s2+KDDz4Qawsu1HSEp23btuHo0aNwdHSEt7c3dHV1oaCggDt37mDXrl2v9LRAWsJlbNiwQeIFHfDvH/Oamhr4+PigtrYWc+bMwaBBg6Curg4Oh4PQ0FCkp6dLvdzmAp7GxsZmp3nVfWlmZobjx48jLS0N6enpyMrKwsaNG9mBD6TtYwS8uDh3c3NDSkoKrl27hqioKISHh2P+/PlYsWJFq9NfvHgRX3zxBUaMGIE1a9bAwMAASkpKEAgEWL58ucR931EjsXl4eMDe3h4pKSnIzMzEhQsXcOzYMTg6OmLTpk1tmqcs9ao9ubu7Y926dUhKSsLkyZMRFRXFDpjQVh19vmhvkurJzZs3sWzZMpiYmGDZsmXo27cvlJWVweFw8OWXX0Igoe37y8NpN9W0fr7qsfCqNmzYgHnz5uHPP//E1atXERERgf3792PVqlX4z3/+0+b5yslJbqTQdN11dHQQFhaGq1ev4sqVK7h69Sq2bt2K4OBg7Nixg4a8Jl2Haw78+hkwdzsgaPlaIsNsUOeUiZAO8EYHMZKYmpoiNzcXI0eOFBllpyXCO8tNPXz4EMC/F2MmJibgcDjg8/kYO3Zsq/OMi4uDlZWV2IVi0+YKQh31lMPU1BTAiz/GrZU5LS0NJSUlWL9+PTsyldCePXvE8rdUZi0tLYlPG4R3WKUl675UUlLChAkT2IvalJQUfPrppzh06BD++9//yrRsExMTzJ49G7Nnz0Z9fT2WL1+OsLAweHp6Qk9Pr8X1j4uLg7KyMoKDg0UuOiXVs9a0R93o1asXpk2bhmnTpqGxsZHtyO7p6SnT0yUhWepVe7K3t4eenh6ioqJgbm6Ov/76CwsWLJA4xHBlZSVKS0vFgqzs7Gzo6emxza/acr543Zw7dw6NjY3YuXOnSPBYW1sr8SmMrFo7FoSys7PFpn35PCr8V5jeUl6hQYMGYdCgQZg/fz4qKyuxYMECBAYGYtasWeBwODA2NsajR4/A5/NF6gKfz0dubu4rBdTy8vKwtrZmR6m7f/8+PD09sW/fPuzYsaPN8yXklc22ffFpzY+vb1NIQlrzRveJkcTZ2RkCgQCBgYESf3+57SPwYqjYpk0OGIZBWFgYALAv+tPR0cG7776Lixcv4vr162LzYBgGz549Y7/LycmJ3XGvra3F4cOHxaYVXlC1dxMzR0dHKCkpITg4GHV1dWK/V1VVoaGhAcC/d2ZfLnNqaqrENvVqamp4/vy5xKcKZmZmyMnJwZMnT9i0hoYGHD9+XKbyy7Ivy8vLxX4X9nMSNo+RRlVVlVjzL2VlZbbJoXAfCS94Jc1beJe36R1whmGwb98+qcshJKwbsqyDUF1dndh+l5eXx+DBgwG0Xt/U1NQkLleWetWeFBQU4OLigtTUVHZYcUlNyYQOHjwo8j0hIQGPHj0SGW2sLeeL101zx+7+/fslPoWRlrTHgtC5c+fw+PFj9juPx8Phw4chLy/P3lgYOnQoDA0NERMTg9LSf9v18/l8hIeHg8PhsPunoqJCrPyampowNjZGXV0d22zuvffew7Nnz3D69GmRvKdPn8azZ88wceLENq2/pHNK//79oaKi0inNgQkhpKfrcU9iHBwc4OrqimPHjuHOnTuwtbWFjo4Onjx5gr///hv5+flifVoGDx4MX19fzJw5E7169UJSUhLS0tLg5OQk0mRg3bp1WLhwIXx8fODs7IwhQ4ZAIBCgoKAAycnJcHJyYt+sPnnyZERGRuKLL77AmDFjUFZWhpiYGIkvpBwxYgTk5OSwf/9+PH/+HKqqqjA2NhbreCsrAwMDrFu3Dhs3bsTMmTPh5OQEIyMjPHv2DA8ePEBiYiKOHz+Ovn37YvTo0dDX18f27dtRVFSEPn364N69e4iLi8OgQYPw4IHoWPQWFhb4448/sGXLFowaNQpycnKwsbGBnp4eZs2ahfPnz2Pp0qWYMWMGeDwe4uLiZG4yJcu+9PPzg6amJiwtLWFgYIDKykrExMSAw+HI9NLEjIwMfPfdd5g0aRL69esHNTU13L59G1FRUbCwsGAv4AYMGAB1dXWcOHECKioq0NTUhJ6eHmxsbDB58mRcvHgRvr6+cHZ2Bp/PR1JSksQL/taMHDkSx44dw+bNmzFhwgQoKCjAwsJCqrvLjx49wqJFizBx4kSYm5tDU1MTOTk5OHHiBIyNjdmhoZtjYWGBtLQ0hIaGwtDQEBwOB1OmTJGpXrU3d3d3hIeH47fffoOVlVWzfYl0dHRw8eJFlJSUgMvlskMs6+vrs8co0LbzxevG3t4ehw8fxsqVK+Hu7g5FRUVcuXIFDx48EBtaWRbSHgtCZmZm+PjjjzFjxgyoqanh3LlzuHXrFhYuXMi2U5eXl8fnn3+OtWvXYsGCBXB3d4eamhri4+Nx/fp1eHl5sfv0zJkzOHz4MCZOnAgTExMoKCggKysLly9fhqOjI3s+WbBgAS5cuIAtW7bg7t27GDJkCO7evYuoqCj069ev2aHEW7Nx40Y8efIEY8eOhZGREerr69l+WM7Ozm3eroR0Kj6f3hPzGqA+MW3TI2uuv78/rK2tcerUKYSGhoLH40FfXx9Dhw5l30HQlJ2dHfuyy0ePHkFPTw8LFy7EwoULRfIZGhoiIiICBw8eRFJSEs6ePQslJSUYGBjA1tYWjo6ObN5Vq1ZBXV0d8fHxSEpKgoGBAdzd3TF8+HCxDtGGhoZYv349Dh48iM2bN4PP58PFxeWVgxgAcHNzg5mZGSIiIhAZGYnKykro6OigX79+WLJkCduhTVNTE4GBgdi5cyeOHj2KxsZGDB06FDt27EBUVJRYEDN37lwUFBTgwoULOHnyJAQCAYKCgqCnp4fRo0cjICAA+/fvx44dO9CnTx/MmDEDw4cPZ9/7IC1p96WHhwfi4+MRGRmJiooKaGtrY8iQIfj8889lemHh4MGDMXHiRGRmZrLNdAwNDeHl5SUyMpSKigq+++479oWKDQ0NsLKygo2NDaZMmYKamhocPnwYO3bsgKamJuzs7LBs2TJMnjxZpvWfMmUK7t69i/Pnz+PChQsQCATw9/eXKogxMDCAm5sbMjMzkZiYCB6Ph969e8Pd3R0LFixoNahct24dvv/+exw4cADV1dVseQDp61V7MzU1hbW1NdLT01t8CqOqqsrum8DAQDAMg/Hjx+Ozzz4Ta2Im6/nidTN69Ghs2bIFv/zyC4KCgqCsrIwxY8Zg79698PHxafN8pT0WhP7zn/+guroaR48eZV92uXr1asyZM0ckn52dHX7++Wfs27cP4eHh4PF46N+/P77++muRl11yuVzcvXsXf/zxB0pLSyEvL4++ffvi008/xaxZs9h8Ghoa2LdvH/uyy+joaOjr62PGjBlYvHixTAN7NOXk5ISYmBicOXMGz549g7q6OgYOHIjvv/9e5uOYEEKI7DhMZ/Qg76aavi296d1ZQsjra8WKFbh+/TrOnj0rMRBbtGgRioqKEBMT0wWl63kyMjLg6+sLf39/uLq6dnVxCCFNcJrrEyMQgPlcqXML04OtmHlb6rw7jw/rwJJ0Lz2uTwwh5M2Vl5eH1NRUfPDBBx02ohshhLzxmhmhj3QMAUf6D/lXj2xO9iZobGwUGSigOdra2iIvbSOS1dTUoKampsU88vLyr9X7H5pTV1fX4sv/hJob/rizVFVVtdoPSFFRUWI/sZfduHED2dnZOHLkCBQVFZt96SMhhBBC3gwUxHRTjx8/FhvqWJKgoCCZ+nz0VOHh4eyIVs0xMjLqFk2Q4uPjsWHDhlbzZWRkdEJpmvfjjz8iNja2xTxWVlbYu3dvq/M6ceIEzpw5A2NjY3z77bcdMmgAIYS8cZrr2P8KIxcS0lmoT0w3VV9fj2vXrrWab9iwYdDS0ur4AnVz+fn5rb6nRllZGaNHj+6cAr2C0tJS/PPPP63m68x3uEjy8OFDlJSUtJhHS0sLw4ZR+19CCOkInM11zQYx1Cem8/j9507rmf5n99GhHViS7oWexHRTysrKXX4R+iYxMTGBiYlJVxejXfTq1avLm4pJY+DAgRg4cGBXF4MQQnqu/71HipDuiHpuEUIIIYT0RM29n4Q69pNugGopIYQQQgghpFuh5mSEEEIIIYR0EQFo7OS2oCcxhBBCCCE9ELNG0r1sGu+JdA/0JIYQQgghpEcTDVwkBzeEvF6olhJCCCGE9FDMGgXweDwcOHAAAODl5dXFJep5mOYGWCAtouZkhBBCCCGEkG6FghhCCCGEEEJIt0JBDCGEEEIIIaRboT4xhBBCCCGEdBEBdYlpEwpiCCGEEEJ6MKUdADAfQDWoWz/pLqg5GSGEEEJID8X5kf+//ykA0PpfQEPI64+CGEIIIYSQHujfAIYj8u+/6aQzCDgcqT/kXxTEEEIIIYSQ/6ELZdI9UBBDCCGEEEII6VaoYz8hhBBCCCFdhKFmYm1CT2IIIYQQQggh3QoFMYQQQgghhJBuhYIYQgghhBBCSLdCfWIIIYQQQgjpIgLqEtMm9CSGEEIIIYQQ0q1QEEMIIYQQQgjpViiIIR2uvLwc69evx9SpU2FtbY1FixZ1dZFIN2JtbY2AgICuLsZrJSAgANbW1l1dDEIIIe2AAUfqD/kX9YkhLbp79y4SExPh6uqKvn37tmke27ZtQ3x8PLy9vWFsbAw9Pb12LqWomJgYVFZW4qOPPurQ5byuCgsLERMTA3t7ewwZMqTDlpOYmIi7d+9i8eLFHbaM5gQHB2PIkCGwt7fvsGXExMRgw4YNUuW1srLC3r17O6wspOu0xzmQEEJI+6MghrTo3r17CAkJAZfLbfMf8CtXrmDcuHHw8fFp59JJFhMTg6Kioh4dxISEhKBv374dHsTExsZ2eBBz6dIlyMvLi6SFhITAxcWlQ4MYS0tLfPPNNyJp+/fvR05Ojlh6RwfmpOu0xzmQEEJI+6MgphM0NjaCx+NBRUWlq4vSJcrKyqCtrd3VxWgXPX1fAkB1dTXU1dU7bXnKysqdtqymTExMYGJiIpJ2+vRp5OTkwMnJqUvK1F3RcUNIJ7hXAEz9Fsh+Iv00mw4DCnQp2NUEHGom1hYchmGYri7Em0TYBGX37t24fv06YmJiUFxcjK+//hqurq5gGAYnT57E6dOnkZ2dDTk5OQwfPhw+Pj4ibdwLCwvh5uYGHx8f9OvXD6GhocjNzYWuri7c3NzwySefQOGlE09paSlCQkKQkpKCsrIy6OjowNbWFkuWLBG5U1xSUoKIiAikp6ejqKgI9fX1MDY2hrOzM+bNm8fe9Q4ODkZISIjYOrq4uEjVR6G56f39/eHq6grgxVOasLAw3Lx5Ew0NDTAzM4OHhwc8PDxEpklNTUVUVBRu3bqF0tJSKCoqYsSIEfD29gaXy2Xzubq6oqioSGyZQUFBsLa2hqurK4yMjMSa/mRkZMDX11ekbO21LwEgNjYWx44dQ25uLvh8PvT19TFy5EisXr0aurq6rW5LoeLiYgQHByM9PR1lZWXQ0NCAqakppk+fDhcXl2abQAmbOwkEAhw4cACpqanIzc1FRUUF9PX1MWHCBCxZsgQ6OjrsNE3r4IABAxAWFobs7Gw4OjqisLAQWVlZYstpuv1aU1FRgV9++QXJyckoKSmBqqoqjIyM8P7772P+/PlsPmtra7bOCcskSUZGBvt/aeuVrBYtWoSsrCyRZeXk5ODIkSPIyspCcXExGhsbMWDAAHh4eGDatGki0wuPiRMnTuDMmTM4c+YMnj17hv79+8PPzw8TJkwQyV9fX4+goCCcPXsWlZWVMDc3x9KlS3Hu3DnExsaKlAMAcnNzERISgrS0NFRUVKB3795wcHDAokWLoKqqyuYLCAhAbGwsfv/9d2zfvh1//PEHeDwebGxs8MUXX6BXr16IjIzE4cOHUVhYCCMjIyxfvlyqJ1896RxYX1+P0NBQ/Pbbb3j8+DEUFRVhYGCAd955BytXrmx1WxHSbgLjgOW/yDwZp4UghllDwU1nmT/vodR5w8IHdmBJuheqoR1kx44d4PP5cHd3h7q6Ovr16wcAWL9+PX777TdMnjwZrq6u4PF4OHv2LPz8/LBlyxa89957IvNJTk5GQUEBZs6cCX19fSQnJyMkJATFxcXw9/dn8xUXF8PLyws8Hg8ffvghTExMkJeXh5MnTyIjIwPh4eHQ0NAAANy/fx8JCQmwt7eHiYkJ+Hw+Ll++jMDAQBQUFOCrr74CAEyaNAmlpaU4deoUvLy8MGDAAAAQuzvdnEmTJsHU1BTr16+HpaUl3N3dAQCjRo0CAERGRmLTpk0YOXIkvL29oaqqiitXrmDz5s0oKCgQuQiIiYlBRUUFnJycYGBggCdPniAqKgpLly5FUFAQLC0tAQCrV69GYGAgysvLsWrVKnZ6Ydnb4lX35ZkzZxAQEABLS0v4+vpCWVkZjx8/xqVLl/D06VOpgxg+nw8/Pz+UlJTAw8MDZmZmqKqqwoMHD3D16lW4uLjA0tISXl5eOHDgANzd3dntIryA4/F4CA8Px6RJk/Dee+9BRUUFt27dQlRUFK5du4aIiAgoKiqKLDcpKQlHjx7FjBkzMGPGDKirq0NLSwsMw+Dq1asiTauE+1Ya69atQ1ZWFmbMmIHBgwejvr4e2dnZyMzMFAlimtLV1cU333wjVqeakqVetYeMjAxkZWVhwoQJ6Nu3L+rq6vD7779j48aNePbsGby8vMSmCQgIgIKCAjw9PcHj8fDrr79izZo1iIyMFGmy9NVXXyExMRG2trYYP3488vPzsXbtWonNmm7fvg1fX19oampi+vTp6NOnD+7du4cjR47gr7/+wt69e8Uu+lesWIE+ffrA19cXeXl5OHr0KNauXYuJEyfi1KlT+PDDD6GkpISjR4/iv//9LyIjI2FsbCzVdukJ58Dvv/8e0dHRcHZ2xty5c9HY2Ii8vDykp6dLtY0IaRcCAfDZga4uBSGdjyHtKjo6muFyuYy7uztTW1sr8tvFixcZLpfLnDx5UiSdx+Mxnp6ejKurKyMQCBiGYZiCggKGy+UyNjY2zO3bt9m8AoGAWb16NcPlcpm///6bTf/ss88YBwcHpri4WGTeN2/eZMaMGcMEBQWxabW1texymvr6668ZGxsbpqSkRGx90tPT27A1XuByuYy/v79IWklJCTN+/Hjmyy+/FMv/ww8/MDY2NkxeXh6bVlNTI5avtLSUmTRpErN8+XKRdB8fH8bFxUViWVxcXBgfHx+x9PT0dIbL5TLR0dFsWnvtyzVr1jB2dnYMj8eTWCZp3bt3j+FyuUxoaGiL+SSti5BAIBBbF4ZhmFOnTjFcLpc5f/48myasg2PGjGEePnwoNo2/vz/D5XLbsCYMU1lZyXC5XGbTpk2t5pVUfySlMYzs9UpWPj4+YussqW42NjYyPj4+Yvs9KCiI4XK5zMqVK0WOwRs3bjBcLpfZtWsXm3b58mWJ65mQkMBwuVyxcsyePZuZPn06U1VVJZIurKtN64Nw323evFkk708//cRwuVzGycmJqaysZNOFda9p+ZrTk86BEydOFDv/vG7KysqYuro69ntlZSXz/Plz9nt9fT1TWloqMk1hYWGL34uKikS2Hy2ja5dRfOcfhoF7mz7YVMvgB56ET53IMt6UbdUZy2iLeZ7/SP0h/6IhljuIh4eHWPvvuLg4qKurw97eHuXl5eynqqoKtra2KCwsRG5ursg0Y8eOxdChQ9nvHA6HvUudkJAAAKiqqkJKSgrs7OygrKwsMu++ffvCxMQEV65cYeehoqICzv/aX/J4PFRUVKC8vBzjx4+HQCDArVu3OmSbNPX777+joaEBH374oUh5y8vLYWtrC4FAgLS0NDZ/06YwNTU1KC8vh7y8PCwsLHDz5s0OLeur7ksNDQ3U1dUhJSUFzCu03hTeRc7MzMTTp0/bNA8Oh8OuS2NjIyorK1FeXg4bGxsAwI0bN8SmmTBhwis9yZJEWVkZSkpKuHHjBgoLC9ttvrLWq/bQtG7W19ejvLwcz58/x7hx41BdXY2cnByxaWbPns0egwAwYsQIqKmpiRz/iYmJAIB58+aJTGtvb88+1RB68OAB7t+/j6lTp4LH44ms9+jRo6GqqorU1FSxcsyZM0fku/DJnbOzM1vfAGDw4MFQV1cXOz+1pCecAzU0NPDw4UM8ePBA6u3S2fT09ET6lWloaEBTU5P9rqSkBH19fZFpjIyMWvxuaGgoUn9pGV27DIMhAwFtNbRNc3+TRAdTeVO2VWcsoy0EHI7UH/Ivak7WQczMzMTScnJyUF1djffff7/Z6Z4+fSpygdK/f3+xPAMHvmgPWVBQwM5XIBAgKioKUVFREufbtAkIn89HaGgo4uLikJeXJ3Zh/fz58+ZXrJ0IL+yWLl3abJ6mF+r5+fnYvXs3UlNTUVlZKZKP08EH9avuSy8vL2RlZWHNmjXQ1taGlZUV3n33XTg6OsrUQd7IyAje3t4IDQ3F1KlT8dZbb8HGxgYODg4YMWKE1POJj49HREQE7t69Cz6fL/KbpH0vaf1flaKiIlatWoWffvoJbm5uGDhwIKytrWFvb48xY8a0eb6y1qv2UFNTg7179yI+Ph6PHz8W+13SNpXUJFNbWxsVFRXs94KCAsjJyYkFLMCL5pGPHj1iv2dnZwN40YcjODhYYjklrffLTcOEf7wlNVfT0tISKV9resI5cNWqVfD398fs2bNhbGwMa2tr2Nraws7ODnJydI+QdKKEbwDumuZjkmbRRTHpviiI6SCSRuFhGAa6urrYuHFjs9OZm5u3eZkffPABXFxcJP7W9E7Dtm3bcPToUTg6OsLb2xu6urpQUFDAnTt3sGvXrld6WiAt4TI2bNiAXr16ScwjvOioqamBj48PamtrMWfOHAwaNAjq6urgcDgIDQ2Vqf15cwFPY2Njs9O86r40MzPD8ePHkZaWhvT0dGRlZWHjxo1sp2Fp+xgBLy7O3dzckJKSgmvXriEqKgrh4eGYP38+VqxY0er0Fy9exBdffIERI0ZgzZo1MDAwgJKSEgQCAZYvXy5x33fUiFIeHh6wt7dHSkoKMjMzceHCBRw7dgyOjo7YtGlTm+YpS71qL1999RVSUlLg7u4OKysraGtrQ05ODpcuXcLhw4chEAjEpmnuAretx55wOk9PT4wfP15iHi0tLbG0l4eubi1dlvL1hHOgvb09oqOjcenSJWRlZSEtLQ1RUVGwtLTEzz//LNa/jJAOYzkQEEQCcenA7rNATgmgoQrcygeq6rq6dIR0CApiOpGpqSlyc3MxcuRIqKlJ9+hXUlOUhw9fjGIhvBgzMTEBh8MBn8/H2LFjW51nXFwcrKysxC4U8/LyxPJ21FMOU1NTAICOjk6rZU5LS0NJSQnWr18vNjLVnj17xPK3VGYtLS2Jd1mFd3SlJeu+VFJSwoQJE9jRp1JSUvDpp5/i0KFD+O9//yvTsk1MTDB79mzMnj0b9fX1WL58OcLCwuDp6Qk9Pb0W1z8uLg7KysoIDg4WuciUVM9a0x51o1evXpg2bRqmTZuGxsZGttO3p6enTE+XhGSpV+2hsrISKSkpcHJywpdffiny26s2WzM2NoZAIMCjR4/ELuyFT16EhE895OTkOmW92+pNPAdqa2vDyckJTk5OYBgGu3btQlhYGJKSkuDg4NBqWQhpV042Lz7S+pHfeh7S4QT0QKxN6Hl3J3J2doZAIEBgYKDE38vKysTSrly5gjt37rDfGYZBWFgYALDDnero6ODdd9/FxYsXcf36dbF5MAyDZ8+esd/l5OTE7jTW1tbi8OHDYtMK2/u3dxMzR0dHKCkpITg4GHV14neJqqqq0NDQAODfu8Ivlzk1NVViHw41NTU8f/5c4t1UMzMz5OTk4MmTf8fRb2howPHjx2Uqvyz7sry8XOx3YRt/WZrnVFVViTX/UlZWZpvbCPeR8OJQ0ryFTwCaPh1gGAb79u2TuhxCwrohyzoI1dXVie13eXl5DB48GEDr9U1NTU3icmWpV+1BuD1frmulpaU4ffr0K81bOEpXeHi4SHpiYqJIUzIAGDJkCMzNzXHy5Enk5+eLzYvP57dpP7W3N+kcKOxT1hSHw2FfMPs6bG9CCHmT0ZOYTuTg4ABXV1ccO3YMd+7cga2tLXR0dPDkyRP8/fffyM/PF2vPPXjwYPj6+mLmzJno1asXkpKSkJaWBicnJ5HhbNetW4eFCxfCx8cHzs7OGDJkCAQCAQoKCpCcnAwnJyf2zeqTJ09GZGQkvvjiC4wZMwZlZWWIiYmR+ELKESNGQE5ODvv378fz58+hqqoKY2NjWFhYvNK2MDAwwLp167Bx40bMnDkTTk5OMDIywrNnz/DgwQMkJibi+PHj6Nu3L0aPHg19fX1s374dRUVF7NCxcXFxGDRokFinWgsLC/zxxx/YsmULRo0aBTk5OdjY2EBPTw+zZs3C+fPnsXTpUsyYMQM8Hg9xcXEyN5mSZV/6+flBU1MTlpaWMDAwQGVlJWJiYsDhcGR6aWJGRga+++47TJo0Cf369YOamhpu376NqKgoWFhYsMHMgAEDoK6ujhMnTkBFRQWamprQ09ODjY0NJk+ejIsXL8LX1xfOzs7g8/lISkqSeMHfmpEjR+LYsWPYvHkzJkyYAAUFBVhYWEjVXOvRo0dYtGgRJk6cCHNzc2hqaiInJwcnTpyAsbEx28G8ORYWFkhLS0NoaCjbUXPKlCky1av2oK6ujnHjxuHs2bNQVlbGiBEjUFRUxA5F/CoXsuPHj4etrS1iY2NRUVGBd955B/n5+YiMjIS5uTn++ecfNi+Hw8E333yDJUuWYM6cOWw/o7q6OuTn5+PixYtYtmyZ1O/w6Shv0jmwX79+mDp1Kuzs7DBkyBDo6uqisLAQJ06cgJaWFuzs7Dp2YxJCSA9HQUwn8/f3h7W1NU6dOoXQ0FDweDzo6+tj6NCh8PPzE8tvZ2fHvujt0aNH0NPTw8KFC7Fw4UKRfIaGhoiIiMDBgweRlJSEs2fPQklJCQYGBrC1tYWjoyObd9WqVVBXV0d8fDySkpJgYGAAd3d3DB8+XKxDtKGhIdavX4+DBw9i8+bN4PP5cHFxeeUgBgDc3NxgZmaGiIgIREZGorKyEjo6OujXrx+WLFnCjgiiqamJwMBA7Ny5E0ePHkVjYyOGDh2KHTt2ICoqSiyImTt3LgoKCnDhwgWcPHkSAoEAQUFB0NPTw+jRoxEQEID9+/djx44d6NOnD2bMmIHhw4djyZIlMpVf2n3p4eGB+Ph4REZGoqKiAtra2hgyZAg+//xzsZditmTw4MGYOHEiMjMzce7cOTQ2NsLQ0BBeXl7w9PRk86moqOC7777Dnj17sHXrVjQ0NMDKygo2NjaYMmUKampqcPjwYezYsQOampqws7PDsmXLMHnyZJnWf8qUKbh79y7Onz+PCxcuQCAQwN/fX6ogxsDAAG5ubsjMzERiYiJ4PB569+4Nd3d3LFiwoNWgct26dfj+++9x4MABVFdXs+UBpK9X7eXbb7/Frl278Mcff+DMmTMwNTXF0qVLoaCgIPHFo7LYtGkT9uzZg3PnziEtLQ3m5ub44YcfcO7cOZEgBnjxNObQoUM4cOAAkpOTcfLkSairq8PIyAiurq7sCHRd7U05B3711VeYM2cO0tLSkJaWhpqaGvTq1Qt2dnbw8vJC7969O2YDEkIIAQBwmM7oxU1k1vRt1cK7h4QQ0lPQOZCQjsdpoU8Ms4buc3eW2QtypM575GD/DitHd0N9YgghhBBCCCHdCoXZRGaNjY0inWSbo62tTUOMSqGmpgY1NTUt5pGXl4eurm4nlajt6urqUFVV1Wq+5oY/7ixVVVWt9gNSVFSU2EeCEEIIIV2Pghgis8ePH4sNdSxJUFCQTH0+eqrw8HCEhIS0mMfIyAgxMTGdVKK2i4+Pl6ofSEZGRieUpnk//vgjYmNjW8xjZWWFvXv3dlKJCCGE9FRMB7+0+01FfWKIzOrr63Ht2rVW8w0bNkziC/aIqPz8/FbfU6OsrIzRo0d3ToFeQWlpqViHc0m6+l0mDx8+RElJSYt5tLS0MGzYsE4qESGEdD7qE/N6+M/Hj1rP9D9HQ/t1YEm6FwpiCCGEEEJ6IApiXg8UxLQN1VBCCCGEEEK6iIBak7UJjU5GCCGEEEII6VYoiCGEEEIIIf9DvQxI90BBDCGEEEJID/RvvxemyYf6w5DugWopIYQQQkgPxaxRAI/Hw4EDBwAAXl5eXVyinkdAQyy3CT2JIYQQQgghhHQrFMQQQgghhBBCuhVqTkYIIYQQQkgXEYCak7UFPYkhhBBCCCGEdCsUxBBCCCGE9HDPn3d1CQiRDTUnI4QQQgjpoTg/8v/3P2/gOYPFOwBmTZcWiRCp0JMYQgghhJAe6N8AhiPy77/ppDM0cqT/kH9REEMIIYQQQv6HrpRJ90BBDCGEEEIIIaRboT4xhBBCCCGEdBEBh55+tQU9iSGEEEIIIYR0KxTEEEIIIYQQQroVak5GCCGEEEJIFxFQa7I2oScxhBBCCCGEkG6FghhCCCGEEEJIt0JBDCGEEEIIIaRboSCGtLvy8nKsX78eU6dOhbW1NRYtWtTVRSLdiLW1NQICArq6GK81SdvI1dVV7FhbtGgRXF1dO7FkhBBCZCUAR+oP+Rd17Cci7t69i8TERLi6uqJv375tmse2bdsQHx8Pb29vGBsbQ09Pr51LKSomJgaVlZX46KOPOnQ5r6vCwkLExMTA3t4eQ4YM6bDlJCYm4u7du1i8eHGHLaM5wcHBGDJkCOzt7TtlecnJyThy5AhycnLw7NkzaGlpwdjYGG+//TYWLFgAHR0dmefZWfupNT39eJHV4cOHoampScEgIYS8ZiiIISLu3buHkJAQcLncNgcxV65cwbhx4+Dj49POpZMsJiYGRUVFPfairLCwECEhIejbt2+HBzGxsbEdHsRcunQJ8vLyImkhISFwcXHplCBm586dCAsLw+DBg+Hh4QE9PT2UlpbiwYMHiIyMhKOjY5uDmM7YT03t3r0bDMOIpPX040VWv/76K4yMjCiIIYSQ1wwFMR2gsbERPB4PKioqXV2ULlFWVgZtbe2uLka76On7EgCqq6uhrq7eactTVlbutGW97OnTp4iIiMDw4cOxf/9+KCiIniJramq6qGRto6io2NVFAND5dYgQIkFeKXD5LnDhLyAmHahrAD7fByjQpWBXa+RQM7G24DAv36YjMomJicGGDRuwe/duXL9+HTExMSguLsbXX38NV1dXMAyDkydP4vTp08jOzoacnByGDx8OHx8fWFtbs/MpLCyEm5sbfHx80K9fP4SGhiI3Nxe6urpwc3PDJ598InZBVVpaipCQEKSkpKCsrAw6OjqwtbXFkiVLRJpwlZSUICIiAunp6SgqKkJ9fT2MjY3h7OyMefPmsXe9g4ODERISIraOLi4uUvVRaG56f39/9i7mlStXEBYWhps3b6KhoQFmZmbw8PCAh4eHyDSpqamIiorCrVu3UFpaCkVFRYwYMQLe3t7gcrlsPldXVxQVFYktMygoCNbW1nB1dYWRkRH27t0r8ntGRgZ8fX1FytZe+xIAYmNjcezYMeTm5oLP50NfXx8jR47E6tWroaur2+q2FCouLkZwcDDS09NRVlYGDQ0NmJqaYvr06XBxcWHL/DIrKyvs3bsXAoEABw4cQGpqKnJzc1FRUQF9fX1MmDABS5YsEXmi0LQODhgwAGFhYcjOzoajoyMKCwuRlZUltpym2681FRUV+OWXX5CcnIySkhKoqqrCyMgI77//PubPn8/ms7a2ZuucsEySZGRksP+Xtl615vr16/Dy8oKnpyc+/fTTVvNXV1fj4MGDuHLlCvLz81FTUwMDAwNMnjwZPj4+bPDb2n4CIFP9arqNhCTV9UWLFqGoqAgxMTFsnpaOFwDIzc1FSEgI0tLSUFFRgd69e8PBwQGLFi2Cqqpqq9tEWI5Vq1YhMDAQ169fh7a2NqKjo2Waf0BAAGJjYxEfH49t27bh0qVLqK+vx8iRI7Fy5UoMHTpUbNnnz5/H0aNHcf/+fTQ2NmLQoEGYN28eHBwcxPKdPXsW9+7dw9OnT6GmpobRo0fD19cXgwcPFtnOkkRHR6Nv377466+/sG/fPty9exeVlZXQ1tbG4MGD4ePjg5EjR7a6rQjpFFW1wIebgIs3xH7ibDrcbBDDrKHgprM4LiqUOm/83ra1knkTUQ1tJzt27ACfz4e7uzvU1dXRr18/AMD69evx22+/YfLkyXB1dQWPx8PZs2fh5+eHLVu24L333hOZT3JyMgoKCjBz5kzo6+sjOTkZISEhKC4uhr+/P5uvuLgYXl5e4PF4+PDDD2FiYoK8vDycPHkSGRkZCA8Ph4aGBgDg/v37SEhIgL29PUxMTMDn83H58mUEBgaioKAAX331FQBg0qRJKC0txalTp+Dl5YUBAwYAAExMTKTaBpMmTYKpqSnWr18PS0tLuLu7AwBGjRoFAIiMjMSmTZswcuRIeHt7Q1VVFVeuXMHmzZtRUFCAlStXsvOKiYlBRUUFnJycYGBggCdPniAqKgpLly5FUFAQLC0tAQCrV69GYGAgysvLsWrVKnZ6Ydnb4lX35ZkzZxAQEABLS0v4+vpCWVkZjx8/xqVLl/D06VOpgxg+nw8/Pz+UlJTAw8MDZmZmqKqqwoMHD3D16lW4uLjA0tISXl5eOHDgANzd3dntIgxieTwewsPDMWnSJLz33ntQUVHBrVu3EBUVhWvXriEiIkLsbn1SUhKOHj2KGTNmYMaMGVBXV4eWlhYYhsHVq1fxzTffsHmF+1Ya69atQ1ZWFmbMmIHBgwejvr4e2dnZyMzMFAlimtLV1cU333wjVqeakqVetcbY2BgA8Mcff2Du3Lno3bt3i/lLSkoQFRWFSZMmYerUqZCXl0dWVhbCwsJw9+5dBAYGAkCr+wmQ/VzRFq0dL7dv34avry80NTUxffp09OnTB/fu3cORI0fw119/Ye/evWI3UyR5/PgxlixZAgcHB0yaNIl9gtWW+S9fvhxaWlrw8fFBWVkZjh07hkWLFmH//v0YNGgQm+/nn3/G/v378c4778DX1xdycnJISEjAunXr8Pnnn2PWrFls3mPHjkFbWxvu7u7o1asX8vPzcerUKXzyySeIiIiAmZkZAOCbb77B1q1boaOjA29vb3Z6XV1d5OTkwM/PD/r6+pg9ezb09PTw9OlTXLt2Dffu3aMghrw+NkVKDGBaJBB0TFkIaU8MeSXR0dEMl8tl3N3dmdraWpHfLl68yHC5XObkyZMi6Twej/H09GRcXV0ZgUDAMAzDFBQUMFwul7GxsWFu377N5hUIBMzq1asZLpfL/P3332z6Z599xjg4ODDFxcUi87558yYzZswYJigoiE2rra1ll9PU119/zdjY2DAlJSVi65Oent6GrfECl8tl/P39RdJKSkqY8ePHM19++aVY/h9++IGxsbFh8vLy2LSamhqxfKWlpcykSZOY5cuXi6T7+PgwLi4uEsvi4uLC+Pj4iKWnp6czXC6XiY6OZtPaa1+uWbOGsbOzY3g8nsQySevevXsMl8tlQkNDW8wnaV2EBAKB2LowDMOcOnWK4XK5zPnz59k0YR0cM2YM8/DhQ7Fp/P39GS6X24Y1YZjKykqGy+UymzZtajWvpPojKY1hZK9X0vj+++8ZLpfLjBs3jlm4cCGzfft2Jj4+nqmoqBDL29DQIHE///zzzwyXy2WuX7/OprW0n2SpXwwjeXtIquuSjo2WjpfZs2cz06dPZ6qqqiSWT1LZX+bi4sJwuVzm1KlTrzR/YX1bs2aNyLrfunWLsba2ZpYtW8am3b59m+FyuUxgYKDYMletWsXY2dmJLFPS+eXhw4fMuHHjxOpoc+eQX3/9VWwfE/JaevcLhoG7xA821TL4gSf++b6+q0vdo0xaVCD1h/yLhlhuJx4eHmL9JuLi4qCurg57e3uUl5ezn6qqKtja2qKwsBC5ubki04wdO1akmQSHw2HvUickJAAAqqqqkJKSAjs7OygrK4vMu2/fvjAxMcGVK1fYeaioqIDzv/aWPB4PFRUVKC8vx/jx4yEQCHDr1q0O2SZN/f7772hoaMCHH34oUt7y8nLY2tpCIBAgLS2Nzd+0WUlNTQ3Ky8shLy8PCwsL3Lx5s0PL+qr7UkNDA3V1dUhJSRHrVC0L4ZO0zMxMPH36tE3z4HA47Lo0NjaisrIS5eXlsLGxAQDcuCF+d27ChAmv9CRLEmVlZSgpKeHGjRsoLJT+sXlrZK1X0li7di02bNiAUaNG4ebNmwgPD8e6deswdepU7Ny5E42NjWxeRUVF9skBn8/H8+fPUV5ejjFjxgCQvH0lacu5or09ePAA9+/fx9SpU8Hj8UTKMXr0aKiqqiI1NVWqeWlra4s1M2zr/OfPn8+evwBg2LBhGDt2LNLS0tgnPGfPngWHw4Gzs7NYPbCzs0N1dTWuX7/OzkN4fmEYBlVVVSgvL4euri769esn9T4THp9JSUmor6+Xapqu8PTpU5HyVVVVobKykv3e0NCAsrIykWlebnL48vfi4mKRcxst4/VeBu8tI7yq12E9ussySOeh5mTtRNj8oKmcnBxUV1fj/fffb3a6p0+fss2VAKB///5ieQYOHAgAKCgoYOcrEAgQFRWFqKgoifMVNosBXlxchYaGIi4uDnl5eWIX1s+fP29+xdpJTk4OAGDp0qXN5ml6oZ6fn4/du3cjNTVV5IQCQOSCpiO86r708vJCVlYW1qxZA21tbVhZWeHdd9+Fo6OjTJ2bjYyM4O3tjdDQUEydOhVvvfUWbGxs4ODggBEjRkg9n/j4eERERODu3bvg8/kiv0na95LW/1UpKipi1apV+Omnn+Dm5oaBAwfC2toa9vb27AV/W8har6QhvBh2dnYGj8fD/fv3kZqail9//RVhYWHQ1NSEl5cXm//48eM4efIkHj58CMFLTTBerrstrYes54r2lp2dDeBF37bg4OBmyyANY2NjsRHm2jp/SQH1gAEDkJqaiqKiIpibmyM7OxsMw7TYB6rphcidO3cQFBSEzMxM1NbWipVdGu+//z7i4uJw4MABHD58GCNHjsS4ceMwZcoUGBm9+kVje3l5iHth8CWkpKQEfX19kbSXy//yd0NDQ1pGN1qGYsBsIO4q8LgcUpMTvcf9OqxHd1kG6TwUxLQTSaNXMQwDXV1dbNy4sdnpzM3N27zMDz74AC4uLhJ/azrC07Zt23D06FE4OjrC29sburq6UFBQwJ07d7Br165XelogLeEyNmzYgF69eknMI7x4qKmpgY+PD2prazFnzhwMGjQI6urq4HA4CA0NRXp6utTLbS7gaXo3/WWvui/NzMxw/PhxpKWlIT09HVlZWdi4cSM78IG0fYyAFxfnbm5uSElJwbVr1xAVFYXw8HDMnz8fK1asaHX6ixcv4osvvsCIESOwZs0aGBgYQElJCQKBAMuXL5e47ztqJDYPDw/Y29sjJSUFmZmZuHDhAo4dOwZHR0ds2rSpTfOUpV61haKiIoYPH47hw4dj0qRJmDlzJqKiotggJiIiAtu3b8e4ceMwe/Zs9OrVC4qKiigpKUFAQIBYUNPSenTkuULaMgCAp6cnxo8fLzGPlpaWVPNq7hhqr/lLwuFwsHPnTsjJSW5gINx+xcXFWLRoEdTV1fHJJ5+gf//+7NPqn376SSyoaY6SkhJ+/vln3LhxA6mpqcjKymKP8Y0bN2LixIltXhdC2pVZb+BRMHDyMhAS/2KEsnp+69MR8pqjIKYDmZqaIjc3FyNHjoSamppU0wjvLDf18OFDAP9ejJmYmIDD4YDP52Ps2LGtzjMuLg5WVlZiF4p5eXlieTvqKYepqSkAQEdHp9Uyp6WloaSkBOvXrxcbmWrPnj1i+Vsqs5aWlsSnDcKnWtKSdV8qKSlhwoQJmDBhAgAgJSUFn376KQ4dOoT//ve/Mi3bxMQEs2fPxuzZs1FfX4/ly5cjLCwMnp6e0NPTa3H94+LioKysjODgYJELS0n1rDXtUTd69eqFadOmYdq0aWhsbGQ7s3t6esr0dElIlnr1qvr37w8tLS2UlJSwaXFxcejbt6/YxfOff/4pNn1L268t54q2aq4cwidwcnJyHbIt2zr/7OxssU7y2dnZkJeXZ++Ampqa4s8//4ShoWGrTSETEhJQU1ODrVu3io0+VlFRASUlJZG01uq9hYUFLCwsALwIkObOnYs9e/ZQEENeL8qKwEd2Lz5N/UjBzOugETTEcltQn5gO5OzsDIFAwI5Q9LKX21kCL4aKvXPnDvudYRiEhYUBAPuiPx0dHbz77ru4ePGiSDvvptM8e/aM/S4nJyd2x722thaHDx8Wm1bYVry9m5g5OjpCSUkJwcHBqKurE/u9qqoKDQ0NAMA2Q3m5zKmpqRLbq6upqeH58+cSnyqYmZkhJycHT548YdMaGhpw/Phxmcovy74sLy8X+13Yz6miokLqZVZVVYk1/1JWVmabHAr3kfCiV9K8hRfWTZ8IMAyDffv2SV0OIWHdkGUdhOrq6sT2u7y8PDucbWv1TU1NTeJyZalX0igtLcXdu3cl/nb16lVUVFSIXCTLy8uDw+GI1D1h801J6wBI3n5tOVe0VXPHy5AhQ2Bubo6TJ08iPz9fbDo+n9+mff+q8w8LCxMp6507d5CWlgYbGxt2mzo5OQF48XJPSU9Zm24/4THx8vqfOnVK4nZWVVWVWD8lHecGBgbQ1dV9pe1ECCFEOvQkpgM5ODjA1dUVx44dw507d2BrawsdHR08efIEf//9N/Lz88X6tAwePBi+vr6YOXMmevXqhaSkJKSlpcHJyUlkONt169Zh4cKF8PHxgbOzM4YMGQKBQICCggIkJyfDycmJfbP65MmTERkZiS+++AJjxoxBWVkZYmJiJL6QcsSIEZCTk8P+/fvx/PlzqKqqwtjYmL3T2FYGBgZYt24dNm7ciJkzZ8LJyQlGRkZ49uwZHjx4gMTERBw/fhx9+/bF6NGjoa+vj+3bt6OoqIgdhjUuLg6DBg3CgwcPROZtYWGBP/74A1u2bMGoUaMgJycHGxsb6OnpYdasWTh//jyWLl2KGTNmgMfjIS4uTuYmU7LsSz8/P2hqasLS0hIGBgaorKxETEwMOBwOe7EljYyMDHz33XeYNGkS+vXrBzU1Ndy+fRtRUVGwsLBgg5kBAwZAXV0dJ06cgIqKCjQ1NaGnpwcbGxtMnjwZFy9ehK+vL5ydncHn85GUlCTxgr81I0eOxLFjx7B582ZMmDABCgoKsLCwkKq51qNHj7Bo0SJMnDgR5ubm0NTURE5ODk6cOAFjY2N2yOHmWFhYIC0tDaGhoTA0NASHw8GUKVNkqlfSePLkCebPnw8LCwvY2NjA2NgYPB4P9+7dw7lz56CgoAA/Pz82/+TJkxEYGIgVK1Zg4sSJqK6uxm+//SZxGOKW9lNbzhVt1dLx8s0332DJkiWYM2cO23eprq4O+fn5uHjxIpYtW9bmN9dzOJw2zb+oqAjLli2DnZ0dSktLcezYMSgrK4sMnT1ixAgsWrQIe/fuxUcffQQHBwf07t0bpaWluH37Ni5dusQOGvDuu+9i165dWL9+PWbNmgVNTU389ddf+PPPP2FiYiIWBI0cORJRUVHYs2cPBgwYAA6HAzs7O+zbtw+pqamYMGECjI2NwTAM/vjjD+Tk5DQ7ZDghhJD2Q0FMB/P394e1tTVOnTqF0NBQ8Hg86OvrY+jQoSIXQ0J2dnbsyy4fPXoEPT09LFy4EAsXLhTJZ2hoiIiICBw8eBBJSUk4e/YslJSUYGBgAFtbWzg6OrJ5V61aBXV1dcTHxyMpKQkGBgZwd3fH8OHDxTpEGxoaYv369Th48CA2b94MPp8PFxeXVw5iAMDNzQ1mZmaIiIhAZGQkKisroaOjg379+mHJkiVs5zlNTU0EBgZi586dOHr0KBobGzF06FDs2LEDUVFRYkHM3LlzUVBQgAsXLuDkyZMQCAQICgqCnp4eRo8ejYCAAOzfvx87duxAnz59MGPGDAwfPhxLliyRqfzS7ksPDw/Ex8cjMjISFRUV0NbWxpAhQ/D55583+/I8SQYPHoyJEyciMzMT586dQ2NjIwwNDdmXMQqpqKjgu+++w549e7B161Y0NDTAysoKNjY2mDJlCmpqanD48GHs2LEDmpqasLOzw7JlyzB58mSZ1n/KlCm4e/cuzp8/jwsXLkAgEMDf31+qIMbAwABubm7IzMxEYmIieDweevfuDXd3dyxYsKDVoHLdunX4/vvvceDAAVRXV7PlAaSvV9Lo378//vvf/+LKlSs4f/48nj59Cj6fj169esHe3h5z584VGT1w3rx5YBgGUVFR+Omnn6Cvrw9HR0e4ublh5syZIvNuaT8Bsp8r2qql42XIkCE4dOgQDhw4gOTkZJw8eRLq6uowMjKCq6srW9a2asv8d+3aha1bt2Lv3r2oq6tjX3bZ9KWUwIsXew4fPhxHjhzBr7/+itraWujp6cHc3Bxr1qxh85mYmGDnzp3YvXs3Dhw4ADk5Obz99tsIDg7Gli1bxEYaWrp0KSoqKnD8+HFUVlaCYRhER0fjvffeQ2lpKX7//Xc8ffoUysrKMDU1xddff40PP/zwlbYTIaRnaaTWZG3CYTqjVzdpVdO3pQufoBBCSE8VEBCA2NhYZGRkdHVRCHljcVroE8OsofvcncXWV/phmv8IotHQhKhPDCGEEEIIIaRboTCbtKqxsVFkoIDmaGtrQ1FRsRNK1L3V1NSwL+lrjry8PHR1dTupRG1XV1eHqqqqVvM1N/xxZ6mqqmq1H5CioqLEfmKEEEIIef1QEENa9fjxY7GhjiUJCgqSqc9HTxUeHo6QkJAW8xgZGSEmJqaTStR28fHx2LBhQ6v5urpJ0I8//ojY2NgW81hZWWHv3r2dVCJCCCHkBUEHv8T7TUV9Ykir6uvrce3atVbzDRs27JVeVtdT5Ofnt/qeGmVlZYwePbpzCvQKSktL8c8//7Sar6Pf4dKahw8firzfRRItLS0MGzask0pECCFdj/rEvB7eXVIsdd5Leww7sCTdCwUxhBBCCCE9EAUxrwcKYtqGaighhBBCCCFdpJGak7UJjU5GCCGEEEII6VYoiCGEEEIIIf9DvQxI90BBDCGEEEJID/RvvxdG5F/qD9O5+DJ8yL8oiCGEEEII6aH+DVh4AJ6hYWVXloYQ6VGoTQghhBDSgzWsBA4cCP/fN68uLQsh0qInMYQQQgghhJBuhZ7EEEIIIYQQ0kVoiOW2oScxhBBCCCGEkG6FghhCCCGEEEJIt0LNyQghhBBCeijOj8KBe1906F+8A2DWdF15eiI+tSZrE3oSQwghhBDSo3GafJoGNoS8viiIIYQQQgjpgSQHK/RYgHQP1JyMEEIIIYSQLsKnwLFN6EkMIYQQQgghpFuhIIYQQgghhBDSrVAQQwghhBBCCOlWqE8MIYQQQgghXYRHXWLahJ7EEEIIIYQQQroVCmIIIYQQQggh3Qo1JyOEEEIIIaSL8DjUnqwt6ElMBysvL8f69esxdepUWFtbY9GiRV1dJCKDgIAAWFtbd8i8CwsLYW1tjeDg4A6ZPyGEEELIm4qexLTg7t27SExMhKurK/r27dumeWzbtg3x8fHw9vaGsbEx9PT02rmUomJiYlBZWYmPPvqoQ5dDOkZlZSUOHz4MLpfbYcETAAQHByMkJESqvC4uLggICOiwsrRVTEwMNmzYgM2bN8PBwUFinsLCQri5uUk9z4yMjPYqHukAt27dwvz587Fr1y6MHz8ejY2NOHfuHCIjI5Gfn4/Kykro6OjA1NQUlpaW8Pb2hpKSEgDJ9aVp/fDy8oKfn5/YMl1dXaGqqopjx46xaQEBAYiNjW22nB9++CH+7//+rz1XnRBCyEsoiGnBvXv3EBISAi6X2+Yg5sqVKxg3bhx8fHzauXSSxcTEoKioiIKYbsDIyAiXLl2CvLw8m1ZZWckGFx0ZxEyaNAmmpqYiaVu3bgUArFq1SiTdxMSkw8rR0XR1dfHNN9+IpCUkJCAhIQFeXl4YMGBAF5WMtEVCQgI0NDRgY2MDAPj6668RHx+Pt99+G3PnzoWWlhYeP36MO3fuICwsDLNnz2aDmNb8+uuv+M9//oNevXpJXZ5169ZBTU1NLP3lY4sQQkj76/AgprGxETweDyoqKh29qNdSWVkZtLW1u7oY7aKn78v2xuFwoKys3CXLHjx4MAYPHiyStmfPHgCAk5NTVxSpQ6iqqoqtT15eHhISEjB27NhWA8Xq6mqoq6t3ZBGJDBITE/Huu+9CQUEBt2/fRnx8PCZOnIgffvhBLG95eTk0NDSkmu/w4cNx69YtBAcH46uvvpK6PA4ODtDR0ZE6PyGESMLr6gJ0U+0axAgf1+/evRvXr19HTEwMiouL8fXXX8PV1RUMw+DkyZM4ffo0srOzIScnh+HDh8PHx0fkYkL4iN/Hxwf9+vVDaGgocnNzoaurCzc3N3zyySdQUBAtemlpKUJCQpCSkoKysjLo6OjA1tYWS5YsEWnCVVJSgoiICKSnp6OoqAj19fUwNjaGs7Mz5s2bx94Vb9rcxtfXl51e2qY1TaePjY1lmx74+/vD1dUVwIunNGFhYbh58yYaGhpgZmYGDw8PeHh4iMwrNTUVUVFRuHXrFkpLS6GoqIgRI0bA29sbXC6Xzefq6oqioiIAonfxg4KCYG1tDVdXVxgZGWHv3r0i88/IyICvr69I2dprXwrX/9ixY8jNzQWfz4e+vj5GjhyJ1atXQ1dXt9Vt2ZS0+1m4/U+cOIEzZ87gzJkzePbsGfr37w8/Pz9MmDBBZL719fUICgrC2bNnUVlZCXNzcyxdulSmsjVVXFyM4OBgpKeno6ysDBoaGjA1NcX06dPh4uICQLSeL168mN0PABASEsLWHyMjI8TExLDzPn/+PI4ePYr79++jsbERgwYNwrx585ptUtVWhw4dwrZt2xAYGIhx48aJ/NbQ0IAPPvgAgwcPRlBQEACw9WvVqlXYvn07bt68CUVFRdja2mLlypViTSkbGhoQERGBc+fOIT8/H0pKSrC0tMTixYsxdOjQdl0XaVhbW8PFxQVOTk4IDg7GvXv3MGzYMOzdu1fq8wbw77GzZ88e3LlzBydOnMCTJ09gZGQEb29vdv8LpaSkICwsDP/88w/q6uqgo6OD4cOHY9myZejXrx+Af5svxcfHY9u2bbh06RLq6+sxcuRIrFy5Umx78fl8RERE4MyZMygoKICqqiosLS3h6+uLQYMGieSV9vjMysrCL7/8gps3b4LP56N///6YOXMmpk2bJjK/RYsWoaioCPv378e2bdtw+fJlNDQ0wNLSEmvXrmXXCXhx3IWGhuK3337D48ePoaioCAMDA7zzzjtYuXKlyHxzcnKQnZ2NxYsXAwByc3PZ/SaJLMHFiBEjYGBggOjoaMydOxf9+/eXelpC3iTLUs7isz/OoG/FU2AtX/RHBXng1H8Bl45rJUCILDrkScyOHTvA5/Ph7u4OdXV19o/W+vXr8dtvv2Hy5MlwdXUFj8fD2bNn4efnhy1btuC9994TmU9ycjIKCgowc+ZM6OvrIzk5GSEhISguLoa/vz+br7i4GF5eXuDxePjwww9hYmKCvLw8nDx5EhkZGQgPD2fvyN2/fx8JCQmwt7eHiYkJ+Hw+Ll++jMDAQBQUFLB34SZNmoTS0lKcOnVKpNmJtE1rhM111q9fD0tLS7i7uwMARo0aBQCIjIzEpk2bMHLkSHh7e0NVVRVXrlzB5s2bUVBQIPIHPCYmBhUVFXBycoKBgQGePHmCqKgoLF26FEFBQbC0tAQArF69GoGBgSgvLxdpEvQqTWZedV+eOXMGAQEB7AWUsrIyHj9+jEuXLuHp06cyBTGy7GehgIAAKCgowNPTEzweD7/++ivWrFmDyMhIkSaCX331FRITE2Fra4vx48cjPz8fa9eubVMzQj6fDz8/P5SUlMDDwwNmZmaoqqrCgwcPcPXqVbGLWKEBAwZg1apV2Lp1KyZOnIiJEycCgEhzlZ9//hn79+/HO++8A19fX8jJySEhIQHr1q3D559/jlmzZslc3uY4Oztj9+7diI6OFgtiEhISUFFRIXYB++TJEyxZsgSTJk3C5MmTcefOHURHR+P27dsICwtjn+Lx+XwsX74cf//9N5ycnDBr1ixUVVXh1KlT+OSTTxASEoLhw4e327pI69atW7h48SKmTZsmsp+kPW80tXv3btTX12P69OlQUlLCiRMnEBAQABMTE4wePRoAkJmZiVWrVsHc3BxeXl7Q0NBAaWkp0tLSkJeXJ3LBDwDLly+HlpYWfHx8UFZWhmPHjmHRokXYv3+/SHDyf//3f4iPj8fYsWMxY8YMlJWV4fjx4/Dy8kJISAgb9Eh7fCYnJ2Pt2rXQ19eHp6cn1NTUcP78eWzcuBEFBQVifUlqa2vh4+ODkSNHws/PDwUFBThy5AhWr16No0ePskHf999/j+joaDg7O2Pu3LlobGxEXl4e0tPTxbZnYmIilJSU8M477wD491x84cIFfPDBB9DS0pJpX7/Mz88PycnJ2L17t8QnO5JUVFRITFdXV4eiouIrlYeQzjb971TsijrQfAZ+I+D6/4CCX4C+Hdu/lxCpMO0oOjqa4XK5jLu7O1NbWyvy28WLFxkul8ucPHlSJJ3H4zGenp6Mq6srIxAIGIZhmIKCAobL5TI2NjbM7du32bwCgYBZvXo1w+Vymb///ptN/+yzzxgHBwemuLhYZN43b95kxowZwwQFBbFptbW17HKa+vrrrxkbGxumpKREbH3S09PbsDVe4HK5jL+/v0haSUkJM378eObLL78Uy//DDz8wNjY2TF5eHptWU1Mjlq+0tJSZNGkSs3z5cpF0Hx8fxsXFRWJZXFxcGB8fH7H09PR0hsvlMtHR0Wxae+3LNWvWMHZ2dgyPx5NYJlnIsp+DgoIYLpfLrFy5UmR/37hxg+FyucyuXbvYtMuXL0vcTwkJCQyXy2W4XK5M5bx37x7D5XKZ0NDQFvMJ63nTcktKE7p9+zbD5XKZwMBAsd9WrVrF2NnZMVVVVTKVtSkXFxexuvPll18y48ePZ8rLy0XSlyxZwkycOJGpq6sTmZ7L5TKHDh0SyRsREcFwuVzmwIEDYml//vmnSN7KykrGyclJYj19mbCOxsfHS7uKDMP8WzdePq6F+zo1NVVsmracN+bMmcM0NDSw6Y8fP2bGjRvHfPHFF2zaTz/9xHC5XKasrKzFMvv7+zNcLpdZs2aNSDlu3brFWFtbM8uWLWPThPV53bp1Innv3r3LjBkzhvnkk0/YNGmOTz6fzzg7OzPvvfce8+TJEza9oaGB8fLyYmxsbJhHjx6x6T4+PhLr/8GDB8X2+cSJE8XOYc2ZP38+s3LlSpG0Tz/9lOFyucy7777LLFmyhNm9ezeTlJQkds5iGMn1RXi8bd68mWEYhtm4caPY3xcXFxdm5syZIvMS7o/mPrLWSUK6CjbVMtjSwOAHHnPk7S0MA/fWP0HnurrYbxztFaVSf8i/OmSIZQ8PD7F+E3FxcVBXV4e9vT3Ky8vZT1VVFWxtbVFYWMg2DxAaO3asSDMJDoeD+fPnA3hxJxgAqqqqkJKSAjs7OygrK4vMu2/fvjAxMcGVK1fYeaioqIDzv/G4eTweKioqUF5ejvHjx0MgEODWrVsdsUlE/P7772hoaMCHH34oUt7y8nLY2tpCIBAgLS2Nza+qqsr+v6amBuXl5ZCXl4eFhQVu3rzZoWV91X2poaGBuro6pKSkgGGYNpdD1v0sNHv2bHZ/Ay+ajaipqYnUtcTERADAvHnzRKa1t7cXuxMuDeHToMzMTDx9+lTm6Ztz9uxZcDgcODs7i9UbOzs7VFdX4/r16+22PABwd3dHQ0MDzp49y6YVFhYiPT0dU6dOFevTo66ujpkzZ4qkzZw5E+rq6uwxK1yX/v37Y9iwYSLrwefzMXbsWPz111+oq6tr13WRxltvvYWxY8eKpbflvDFz5kyRu/F9+vSBmZkZ8vLy2DRhXbl48SL4fL7YPF42f/58kfo8bNgwjB07FmlpaaipqQHwb3329vYWyfvWW2/B1tYW165dw7Nnz9jlt3Z83r59G8XFxXBzc0Pv3r3ZdEVFRcyfPx8CgQBJSUki08jJyWH27NkiacLO+E2PPQ0NDTx8+BAPHjxocb1LSkpw69Yt2Nvbi6T/8MMPWLt2LczNzZGZmYn9+/dj1apVmDJlCiIiIlqcpySLFi2CiooKdu7cKVX+LVu2YPfu3WIfKysrmZfdUZ4+fYr6+nr2e1VVFSorK9nvDQ0NKCsrE5lG2Cy5ue/FxcUi9YWW0c2X8b/zRJmaJqSir/l6rsdrsgzSeTqkOZmZmZlYWk5ODqqrq/H+++83O93Tp09FLholtUseOHAgAKCgoICdr0AgQFRUFKKioiTO19jYmP0/n89HaGgo4uLikJeXJ/aH+/nz582vWDvJyckBgBb7XDS9+M3Pz8fu3buRmpoqcnABELlI6Qivui+9vLyQlZWFNWvWQFtbG1ZWVnj33Xfh6OgoU4dpWfezkKTmf9ra2iLNQAoKCiAnJycxYBkwYAAePXokdTkBsH0fQkNDMXXqVLz11luwsbGBg4MDRowYIdO8msrOzgbDMGJ9ppp6+WT7qqytrWFmZobo6Gj2ojQmJgYMw4g1JQNe7IOXm9EoKSnB2NiYPWaBF+tSX1/fYj+e8vJyGBoats+KSElSfQfadt6QVB+1tbVRXFzMfp81axaSkpKwefNm7Nq1C2+//TbeeecdTJkyRWJTS0lNQwcMGIDU1FQUFRXB3NwchYWFkJOTk5h34MCBSExMREFBAXR1daU6PgsLC9lpX2Zubg4AIvsWAHr37i0W4AoHOGl67K1atQr+/v6YPXs2jI2NYW1tDVtbW9jZ2UFO7t97bImJieBwOLCzsxOZp4KCAv7zn//gP//5D+rq6nDnzh1cunQJR48exfbt29GrVy9MnTpVrNzN6d27N+bMmYMDBw4gOTlZbHkvs7Kyeu079r/cF+3lJrdKSkrQ19cXSTMyMmrx+8vHJS2jGy+jSf/iHROcMPfqH9Cuq0Wz9DUANxvoKYme57t8PV6jZZDO0yFBjKTRqxiGga6uLjZu3NjsdMI/iG3xwQcfNNvXoOkf023btuHo0aNwdHSEt7c3dHV1oaCggDt37mDXrl2v9LRAWsJlbNiwodnhPIUXQDU1NfDx8UFtbS3mzJmDQYMGQV1dHRwOB6GhoRLbjjenuYCnsbGx2WledV+amZnh+PHjSEtLQ3p6OrKysrBx40a2472sw/dKu5+Fml4IvbwOHWnp0qVwc3NDSkoKrl27hqioKISHh2P+/PlYsWJFm+fL4XCwc+fOZtfrVY6h5ri7u2PHjh24ffs2hgwZgpiYGAwfPhxvvfXWK8130KBB+Oyzz5r9XdZBH9pDcyPvteW8IU3d09HRQVhYGK5evYorV67g6tWr2Lp1K4KDg7Fjxw62D11Hae/jU6i5dQdE19/e3h7R0dG4dOkSsrKykJaWhqioKFhaWuLnn39mA+KEhASMGjWqxfdsqaioYPTo0Rg9ejS4XC6WLVuG6OhomYIYAFiwYAEiIyOxe/dusQFACHmT3evTF29/9gO80xMwoigXM26+dH0xbQwQthJQov5e7a22Y+9Hv7E67T0xpqamyM3NxciRIyWOqy+J8IlFUw8fPgTw70W+iYkJOBwO2wylNXFxcbCyssKmTZtE0ps28RDqqKccwncI6OjotFrmtLQ0lJSUYP369WIv7RMOidtUS2XW0tKSeMf45buorZF1XyopKWHChAnsBUFKSgo+/fRTHDp0CP/973+lWqas+1kWxsbGEAgEePTokVgQkJ2d3eb5mpiYYPbs2Zg9ezbq6+uxfPlyhIWFwdPTs9mLsZb2n6mpKf78808YGhp26vtNXF1d8fPPPyMqKgrvvfceiouL8fHHH0vMW1BQAB6PJ/I0pqGhAQUFBSJPVk1NTfHs2TPY2Ni0eMH7upDlvCEreXl5WFtbs6Ns3b9/H56enti3bx927Nghkjc7OxsjR44US5OXl2fvBgrrc3Z2ttgw2sL63PQpUWvHpzCv8Nzb1Mvn47bQ1taGk5MTnJycwDAMdu3ahbCwMCQlJcHBwQHPnz9HZmYmli9fLvU8hdvoyZMnMpdHQ0MDn3zyCbZu3driCy0JeRM90usD/yn/AQAwa+hVguT11mlXD87OzhAIBAgMDJT4u6RmMFeuXMGdO3fY7wzDICwsDADYttE6Ojp49913cfHiRYn9ARiGYdt/Ay/uEL5817S2thaHDx8Wm1bYF6W9m5g5OjpCSUkJwcHBEtv9V1VVoaGhAQDYUXxeLnNqaipu3LghNq2amhqeP38u8c6wmZkZcnJyRP6wNzQ04Pjx4zKVX5Z9WV5eLva7sJ9TcyP7SCLrfpaFcCS18PBwkfTExESZm5IBL/bfy/0blJWV2Yv4lupTS3VO+L6T3bt3S3x61t5NyYR0dHRgb2+Pc+fO4dixY1BRUWn27nZ1dbVYfTp+/Diqq6tF+jM4OzujrKwMhw4dkjifjlqXtpLlvCELScdH//79oaKiIrEOhIWFiZTjzp07SEtLg42NDXtDQVifDxw4IJL3wYMHSE5OxujRo9mnXNIcn0OHDoWhoSFiYmJQWlrK5uPz+QgPDweHwxEbWVIajY2NEpvHDhkyRGT5f/zxBxobG9nR+oRyc3ObDSKF/YLaGuzPnDkTffv2RXBwMHsuJoQQ8nrptDDbwcEBrq6uOHbsGO7cuQNbW1vo6OjgyZMn+Pvvv5Gfny/W12Hw4MHw9fXFzJkz0atXLyQlJSEtLQ1OTk4izSzWrVuHhQsXwsfHB87OzhgyZAgEAgEKCgqQnJwMJycn9t0CkydPRmRkJL744guMGTMGZWVliImJkfhCyhEjRkBOTg779+/H8+fPoaqqCmNjY1hYWLzStjAwMMC6deuwceNGzJw5E05OTjAyMsKzZ8/w4MEDJCYm4vjx4+jbty9Gjx4NfX19bN++HUVFRejTpw/u3buHuLg4DBo0SKxDrIWFBf744w9s2bIFo0aNgpycHGxsbKCnp4dZs2bh/PnzWLp0KWbMmAEej4e4uDiZX14py7708/ODpqYmLC0tYWBggMrKSsTExIDD4cj8UkVZ9rMsxo8fD1tbW8TGxqKiogLvvPMO8vPzERkZCXNzc/zzzz8yzS8jIwPfffcdJk2ahH79+kFNTQ23b99GVFQULCwsWnwHhY6ODkxNTXH+/HmYmJhAT08PqqqqsLOzw4gRI7Bo0SLs3bsXH330ERwcHNC7d2+Ulpbi9u3buHTpElJTU2Vef2m4u7sjPj4ef/zxB1xcXJp9iaCJiQlCQkLwzz//YNiwYbh9+zaio6PRv39/kY7ec+bMwZUrV7Bjxw6kp6fDxsYG6urqKC4uRnp6Ohvkvy5kOW/IYuPGjXjy5AnGjh0LIyMj1NfXIz4+HtXV1XB2dhbLX1RUhGXLlsHOzg6lpaU4duwYlJWVRYZkHzduHBwdHXH+/HlUVlZiwoQJ7BDLSkpKWLNmDZtXmuNTXl4en3/+OdauXYsFCxbA3d0dampqiI+Px/Xr1+Hl5dVsX6KW1NTUYOrUqbCzs8OQIUOgq6uLwsJCnDhxAlpaWmx/lMTERAwePFjsac+9e/fw5ZdfwsrKClwuF3369EFtbS1u3ryJ+Ph4qKurw8fHR+ZyAS8GLfD19cX69esBoNn9/Pvvv0t8Gq2npyc2LDkhhJD21anPCv39/WFtbY1Tp04hNDQUPB4P+vr6GDp0qNh7BgDAzs6Ofdnlo0ePoKenh4ULF2LhwoUi+QwNDREREYGDBw8iKSkJZ8+ehZKSEgwMDGBrawtHR0c276pVq6Curo74+HgkJSXBwMAA7u7uGD58uFhHe0NDQ6xfvx4HDx7E5s2bwefz4eLi8spBDAC4ubnBzMwMERERiIyMRGVlJXR0dNCvXz8sWbKE7UimqamJwMBA7Ny5E0ePHkVjYyOGDh2KHTt2ICoqSiyImTt3LgoKCnDhwgWcPHkSAoEAQUFB0NPTw+jRoxEQEID9+/djx44d6NOnD2bMmIHhw4djyZIlMpVf2n3p4eGB+Ph4REZGoqKiAtra2hgyZAg+//zzVt+W/jJZ9rOsNm3ahD179uDcuXNIS0uDubk5fvjhB5w7d07mIGbw4MGYOHEiMjMzce7cOTQ2NsLQ0BBeXl7w9PRsdfpvv/0WW7duxe7du1FXVwcjIyP2gm7RokUYPnw4jhw5gl9//RW1tbXQ09ODubm5yMVpe7OxsYGpqSny8vLw4YcfNpuvT58+2Lx5M7Zv347ffvsNioqKmDp1Kj799FORUfYUFBSwfft2nDhxAnFxcWzA0rt3b4wYMaLZfk9dRZbzhiycnJwQExPDvoxVXV0dAwcOxPfff4/JkyeL5d+1axe2bt2KvXv3oq6ujn3Z5cvNxr799lsMGTIEsbGx2L59O1RVVWFlZYUlS5aIvE9G2uPTzs4OP//8M/bt24fw8HDweDz0798fX3/9tcQBHqShoqKCOXPmIC0tjR1drVevXrCzs4OXlxd69+6Nuro6XL58WWzkQOBFp/oVK1YgLS0N0dHRePr0KRiGgYGBAVxdXTF//ny26W5bfPDBB4iIiMC9e/eazbN582aJ6W+//TYFMYQQqTWAOsW0BYfpjJ7sMnr5TeaEkK43a9YsNDY24uTJkxJ/d3V1hZGREfbu3dvJJXvzBQQEIDY2FhkZGV1dlE6VmJiINWvW4NChQ2wzM0JI++H82PzQ7tQnpvNwPpX+dQzMdnrRqNDr36OWENLl0tPT8fDhQ7i7u3d1UUgPoqKiAj8/PwpgCOkozd3HbmHUUkJeFxRmy6ixsVGqDuTa2tpi78sg4mpqatiX9DVHXl6+S4bbfVl3KWtFRQV4PF6LeVRUVJrt19JUeno68vPzERoaCl1d3TY3HSKkLcaNG0fNsgjpSI2NIu+KIV2EWpO1CdVcGT1+/FhsqGNJgoKCZO7z0ROFh4cjJCSkxTxGRkaIiYnppBI1r7uUde3atcjKymoxj4uLCwICAlqdV0hICP766y8MGDAAAQEBUgU+hBBCCCEd7bXsE/M6q6+vx7Vr11rNN2zYMGhpaXV8gbq5/Pz8Vt9To6ysjNGjR3dOgVrQXcp6+/btVocF7927t8Q3sBNCCOk5qE/M64HzmQx9YrZRnxghCmIIIYQQQnogCmJeDxTEtA3VUEIIIYQQQroKhzrFtAWNTkYIIYQQQgjpViiIIYQQQggh/0O9DEj3QEEMIYQQQkgP1Fy/F+oPQ7oDCmIIIYQQQnqoFwELA0AAgI+GlV1cIEKkRKE2IYQQQkgP1rASOHAg9H/fvLqyKIRIjYIYQgghhBBCugqNTtYm1JyMEEIIIYQQ0q1QEEMIIYQQQgjpViiIIYQQQgghhHQrHIZhaEBwQgghhJAeiPMjH/++G4YBwAGzRrELS9TzcNaUS52X+VGnw8rR3VDHfkIIIYSQHo3T5F+6t026B2pORgghhBDSA714CiOW2kw6Ia8XehJDCCGEEEJIl6EhltuCnsQQQgghhPREAoHk9MbGzi0HIW1AQQwhhBBCSE9EYzuRboyakxFCCCGEENJVqDVZm9CTGEIIIYSQnkheXrZ0Ql4jFMQQQgghhPREzTUnoz4xpBugIIYQQgghpCeiYIV0Y9QnhhBCCCGEkK5CfWLahJ7EEEII6XIZGRmwtrZGTEyMzNMuWrQIrq6uHVCq7lkOQgjpCehJDCGEvGHq6uoQGRmJixcv4uHDh6iuroa2tjaGDh0KR0dHfPDBB1BQaPvpv76+HtHR0bhw4QIePHiAyspKqKqqwszMDNbW1nBzc0P//v3bb4UIIR2DQ48ASPdFQQwhhLxB8vLysHLlSuTm5mLMmDH4+OOPoaOjg6dPnyItLQ0bNmzAw4cPsXLlyjbNPz8/H5999hmys7NhZWWFjz76CL169UJNTQ3u3buH6OhoREREIDY2Fn369JF6vlZWVrh06dIrBVeEENI9UTDZFvTXghBC3hB1dXX49NNPUVBQgC1btmDSpEkiv3/88ce4efMmbt269Urzz8/Pxw8//ICJEyeK5amvr8fhw4fBkfEOr5ycHJSVldtULkIIIT0PBTGEEPKGOH36NB49eoQFCxaIBTBCI0aMwIgRI9jvrq6uMDIywqpVq7B9+3bcvHkTioqKsLW1xcqVK6Gnpycy/5ycHHh5eUkMYABAWVkZXl5eMpc9IyMDvr6+8Pf3Z/uVCAQCHDlyBNHR0SgsLASHw4G+vj5Gjx6NL7/8ssWnNjdu3MCJEyfw999/4/Hjx5CXl8egQYMwb948sbIHBAQgNjYWiYmJ2LVrFy5evIjq6moMHToUq1atgoWFhUj+58+fY+fOnUhISEB9fT2GDx+Ozz77TOZ1JuS1xpkODDQALv0/wFC3q0tDiBgKYggh5A1x8eJFAIC7u7tM0z158gRLlizBpEmTMHnyZNy5cwfR0dG4ffs2wsLCoKKiIjL/adOmtWu5m7N//34EBQXB1tYWM2bMgJycHAoLC5GcnIyGhoYWg5jExETk5OTAwcEBRkZGqKioQGxsLNauXYuNGzdi6tSpYtMsW7YMurq6WLhwISoqKnDo0CGsXLkS0dHRUFdXBwDw+XwsW7YMt27dgpOTE0aOHIl79+5h6dKl0NbW7rBtQUhnsrt//cV/Hj4GzJcAz8IBJcWuLRQhL6EghhBC3hD//PMP1NXVYWJiItN0+fn5WLVqFT766CM2beDAgdi2bRuOHDmCjz/+WGT+xsbGItM3NjaisrJSJE1FRYUNftoqISEBAwYMwLZt20TSly9f3uq0n3zyCZYtWyaSNnv2bHz00UfYt2+fxCBm6NChWLduHft94MCBWLduHc6dO4cZM2YAAKKjo3Hr1i34+Phg8eLFbN4BAwZg69atMDIykmkdCelSjACAvFhysXaTJy81DcC5q4DbmM4rV09DXWLahIZYJoSQN0RVVRX7xEAW6urqmDlzpkjazJkzoa6ujoSEBJH5a2hoiE2fnZ0NBwcHkc/x48dlX4GXaGho4MmTJ7h27ZrM06qqqrL/r6urQ3l5Oerq6mBjY4Ps7GxUVVWJTdM0iAMAa2trAC8GSxBKTEyEvLw85s6dK5LXw8OjTdu+oz19+hT19fXs96qqKpGAs6GhAWVlZSLTFBUVtfi9uLgYTJM3vdMyuvMyJF89l6lpiXx/9qT0NV+P12cZpPPQkxhCCHlDaGhooLq6WubpjI2Noago2lRESUkJxsbGKCgoEJm/pIt/Y2Nj7N69GwBw//59bN++XeYySOLn54c1a9Zg4cKF6N27N7hcLiZMmIDJkyeLlfdlT58+xZ49e5CUlISnT5+K/S4pIHv5CZOOjg4AoKKigk0rKChAr169xKYVbq+Xn0h1taZ9mgBILLe+vr5I2stPk17+bmhoSMt4w5bxMtW6JucRRXnofjRZZDjm13U9XodlkM5DQQwhhLwhzM3NkZWVhfz8fJmblMky/4KCApELflVVVYwdOxYAIC8v3jSlrUaNGoXTp0/j8uXLyMjIQGZmJs6dO4d9+/bhl19+abYPCsMwWLZsGbKzszF79mwMHz4cGhoakJOTQ0xMDM6dOweBQCA2XXNlb3rnlpA3SjOjCOb3+t+FubYakL4FUKORAzsWtSdrC2pORgghbwjhiGRRUVEyTVdQUAAejyeS1tDQIBasCOd/+vTpVyuoDNTU1PD/27vzuKiq/g/gn2HfVxURFM0dwcQR1ATEBSUFlEcsyy1MzCW11Cdt+bmUPVpPpuaSZgoBWiqiiGGJC6AW4lpW7koqbiyCbLLN+f3hMzfGGVYFRD7v12teOmfOvefcZYb7vWe5AwYMwNy5c7Ft2zbMnTsX165dq3AbL126hIsXL+KNN97AzJkz4e3tjd69e6Nnz54oLS19ovrY2dkhPT1drUVKub+IGpSKAnQRBWRFAO1b1F19iKqBQQwR0XNi+PDhcHBwQHh4OOLj4zXmOXfunNp4lby8PLW07du3Iy8vD15eXirrb926NcLDw1XGytSWrKwstbROnToBeDTNcXm0tB79aXu8BeXy5cvl7peq6tu3L0pLS7F582aV9MjIyBp15SMiopphdzIioueEgYEBVqxYgZkzZ2LOnDno1asXevbsCXNzc9y/fx8nT57Er7/+inHjxqksZ29vjw0bNuDKlSvo3Lkzzp07h927d6N169YYNWqU2vrfffdd/Pvf/4ZcLkevXr1gbW2NvLw8pKSkIC4uDtra2rCxsXni7QkMDISzszO6dOmCpk2bIj09HTt37oSuri4GDRpU7nJt2rTBCy+8gLCwMDx8+BAODg64fv06oqKi0K5dO5w7d67GdfL398fOnTuxYcMGpKamomvXrrhw4QL2798Pe3v7J27pIapT1XwoLdUSHoYaYRBDRPQcadmyJbZs2YIdO3bg4MGD2LRpE/Lz82Fubo7OnTtj4cKFatMLN2vWDEuXLsWKFSvw888/Q1dXFz4+PnjnnXdUZvkCHgU84eHh2L17Nw4cOICIiAjk5ubC0NAQLVu2xLBhwzBs2DC0bt36ibdlzJgxOHr0KLZu3Yrc3FxYWVnByckJQUFB6NChQ7nLaWtrY+XKlVixYgX27NmDgoICtG3bFgsXLsTFixefKIjR1dXFmjVrsHLlSiQkJODgwYNwdHTEmjVrsGLFCs5URERUR2SCIxaJiBotPz8/2Nra4ptvvqnvqhBRHZN9VghomtCitBRiLgfz1xXZvKrPaiiWmtZiTRoWjokhIiIiaozKm01Qi5eH9OxjdzIiIqoVxcXFKs9YKY+lpeVTnZqZiKqotFRzIKNhCnKqRRwTUyMMYoiIqFb89ttvmDx5cqX5du/ejRYtOI0rERFVHYMYIqJGLCYmptbW3aFDB6xZs6bSfJU9PZyIiOhxDGKIiKhWmJmZoWfPnvVdDSKiZxz7k9UER24REREREVGDwiCGiIiIiIgaFAYxRERERI1RebOQcXYyagAYxBARERE1QuJ9Q+DxZ54L8Sid6o6sGi+ScGA/ERERUWMlxKOXTPa/gEZUugjRs4BBDBEREVEjJd7TQ3FxMUJCQgAAQUFB9VwjoqphEENEREREVF9k7CdWExwTQ0REREREDQqDGCIiIiIialAYxBARERERUYPCMTFEREREjZjeSgCl4wGtEnBYPzUUbIkhIiIiaqRknxc9mlVZWxuAHvRW1HOFiKqIQQwRERFRIyRbWvBoZizl7Fj/+1f2aV491oqoatidjIiIiKhRkqlP7yuTATq8PKxTnGG5RtgSQ0RERNQIGT8s0JxeqDmd6FnCIIaIiIioEdITpRrTdYSo45oQVR/bC4mIiIgaofuGJhrTs/UN67gmjR37k9UEW2KIiIiI6B+Pj5MhegYxiCEiIiIiogaF3cmIiIiIiOoLG75qhC0xRERERETUoDCIISIiIiKiBoVBzBPKysrC/Pnz4ePjgx49emDSpEn1XSVqQHr06IGFCxfWdzWIiIiIGpRGPSbmwoULiI+Ph5+fH1q0aFGjdSxfvhxxcXGYMGEC7OzsYGVl9ZRrqSomJgY5OTl4/fXXa7WcZ9WtW7cQExMDLy8vdOzYsdbKiY+Px4ULF/DWW2/VWhnlWb9+PTp27AgvL69aKyMmJgaLFi2qUt7u3bvjm2++qbW61NSJEycwefJkzJw5E2PHji03X48ePaq8zt27d9f4t4BqX2ZmJnx8fDB37lyMGDECAJCYmIgffvgBKSkpuH//PszMzGBnZ4cXX3wR48ePh4WFBYDyzxfl+eHj44PFixerlTlp0iScO3cOhw8fltLWr1+PDRs2lFtPNzc3rF279mlsMhE1BhwTUyONOoi5ePEiNmzYALlcXuMLl2PHjqFXr14IDg5+yrXTLCYmBrdv327UQcyGDRvQokWLWg9i9uzZU+tBzNGjR6Gtra2StmHDBvj6+tZqEOPi4oKPP/5YJW3Tpk1ISUlRS6/twLy2Pb49p0+fxs6dOxEQEAAXFxeVzywtLeuyalRNCQkJEEKgb9++AICvvvoKYWFhaN++PQIDA2FlZYX09HRcvnwZUVFR8Pb2loKYyvz8888YO3ZstX5XJk+erPFvR5MmTaq8DiIiqpknDmJKS0tRXFwMAwODp1GfBicjIwPm5ub1XY2norEfSwDIy8uDsbFxnZWnr69fZ2WVZW9vD3t7e5W0Xbt2ISUlBUOGDKmXOtWWx7entLQUO3fuRNeuXSvd1ro+H6hihw4dgrOzM5o0aYLMzExERETA0dERmzZtgo6O6p+z/Pz8Kq+3Xbt2uH79OlatWoXVq1dXebmXXnoJjo6OVc5P9EyJPALgUUukQXERHurqQb+4CIW6eoAoBewmADc38pkx9MyqVhCj7IKyZs0anD17FjExMbhz5w4++ugj+Pn5QQiBHTt2YNeuXbh27Rq0tLTg6OiI4OBglS4dt27dgr+/P4KDg+Hg4IDQ0FBcv34dlpaW8Pf3x5tvvqn2Byk9PR0bNmzAkSNHkJGRAQsLC3h4eGDKlCkqd4rT0tIQERGB48eP4/bt2ygsLISdnR2GDh2KsWPHSne9y3YHmDx5srS8r69vlcYolF1+z5492LNnDwBgwYIF8PPzA/ColSYsLAx//vknioqK0KpVKwQGBiIwMFBlXUlJSYiOjsZff/2F9PR06OrqokuXLpgwYQLkcrmUz8/PD7dv3wag2kVm3bp16NGjB/z8/GBra6vW9UfZjaJs3Z7WsVRu/7Zt23D9+nWUlJTA2toazs7OmD17drXubN+5cwfr16/H8ePHkZGRARMTE7Rs2RL/+te/4Ovrq9IFatGiRdL/ld2dFAoFQkJCkJSUhOvXryM7OxvW1tZwd3fHlClTVO7Ilj0H27Rpg7CwMFy7dg3e3t64desWTp06pbafy+6/ymRnZ+Pbb79FYmIi0tLSYGhoCFtbWwwaNAjjxo2T8vXo0UM655R1Uu5T5TkFPDqGSlU9r57UoUOH8O9//xsffvghAgIC1D5/5ZVXUFRUhJ07d0Imk2HSpEm4ffs2vv76a3z55Zc4efIkAMDV1RXvvPOOWtBUnXOsLii/P7NmzcLq1atx9uxZmJubY/fu3cjLy8N3332HY8eO4ebNm8jPz4eNjQ0GDBiA4OBglcC/7PdNCIGIiAjcuHED1tbWGDlyJMaPH69S7m+//YaNGzfiwoULyMnJgbm5Odq3b4/g4GA4OzsD+Of3ZuvWrYiKisL+/fuRm5uLdu3aYdq0aXBzc1Pbnl27dmH79u1ISUmBjo4OnJycEBwcjG7duqnkO3LkCMLCwnDlyhU8fPgQFhYWcHR0xNtvvw0HBwcp36VLl7B+/XqcPn0aBQUFsLOzg6+vL8aMGaPSmrhw4ULs2bMH8fHxWLVqFQ4ePIi8vDx06tQJs2bNgpOTk5RXoVDghx9+wO7du3Hr1i3IZDJYW1ujW7du+OCDD1T+DuTm5uL48eOYMmUKACA1NRUKhQLdu3dX+3sBAEZGRlU57ACA5s2bw83NDVu2bEFycrLG/Un0XFm+G5gVCv1FIfj4px/w74TdSDc2hXV+Ltb3HIgPvF8BbmUBuoFAyY76rm0jwECxJmrUErNy5UqUlJQgICAAxsbG0h+6+fPn4+eff8aAAQPg5+eH4uJi7N27F9OmTcPnn38udQFQSkxMRGpqKkaOHAlra2skJiZiw4YNuHPnDhYsWCDlu3PnDoKCglBcXIxhw4bB3t4eN27cwI4dO3DixAmEh4fDxMQEwKM/tIcOHYKXlxfs7e1RUlKCX3/9FatXr0Zqaio+/PBDAED//v2Rnp6OnTt3IigoCG3atAEAtQut8vTv3x8tW7bE/Pnz4eLiIl3kde3aFQAQFRWFJUuWwNnZGRMmTIChoSGOHTuGpUuXIjU1FTNnzpTWFRMTg+zsbAwZMgQ2Nja4d+8eoqOjMXXqVKxbt07q8jJ79mysXr0aWVlZmDVrlrS8su418aTH8scff8TChQvh4uKCyZMnQ19fH3fv3sXRo0eRmZlZ5SCmpKQE06ZNQ1paGgIDA9GqVSvk5ubi8uXLOH36NHx9feHi4oKgoCCEhISodAVSBrHFxcUIDw9H//790bdvXxgYGOCvv/5CdHQ0zpw5g4iICOjq6qqUm5CQgK1bt2LEiBEYMWIEjI2NYWZmBiEETp8+rdIVSXlsq2LevHk4deoURowYgfbt26OwsBDXrl3DyZMnVYKYsiwtLfHxxx+rnVNlVee8elIeHh6wtrbG7t271epy9uxZXL16FVOnToWszF26goICvPXWW3BycsLbb7+N69evIzIyEmfPnsXmzZtVutlU9/eiLty9exdTpkzBwIED0b9/f+luflpaGqKjo9G/f3/4+PhAW1sbp06dQlhYGC5cuKDx7v2OHTuQmZkJf39/mJqaYu/evVi1ahVsbGzg4+MDAEhJScG0adNgbW2NUaNGwcrKCpmZmThz5gwuXrwoBTFKCxYsgJaWFsaNG4f8/HxERUVh+vTp+Oqrr9CzZ08pn7KbVZcuXTB16lTk5+dj586deOutt7Bs2TK4u7sDAE6ePIlZs2ahbdu2CAoKgomJCdLT05GcnIwbN25Ivwd//fUXJk2aBB0dHen3+vDhw1i1ahUuXbqkcSzJ22+/DUtLS0ycOBHZ2dnYvHkzZs6cid27d0utW5s2bcK6devg4eGBESNGQEtLC7du3UJiYiKKiopUgpOjR4+iuLhY6mZpZ2cHADh8+DBGjx6Npk2b1uiYK02YMAG7d+/GqlWrEBYWpnJelyc3NxdZWVlq6QYGBo26RZsagFmhAAC3G5cx6/AeyAA0zcsBAExJikNotz6P8pUK4PglwLV9/dSTqCKiGnbv3i3kcrkICAgQBQUFKp8dPHhQyOVysWPHDpX04uJiMWbMGOHn5ycUCoUQQojU1FQhl8uFq6urOHfunJRXoVCI2bNnC7lcLn7//Xcp/d133xUDBw4Ud+7cUVn3n3/+Kdzc3MS6deuktIKCAqmcsj766CPh6uoq0tLS1Lbn+PHj1dkNKuRyuViwYIFKWlpamujdu7f44IMP1PL/97//Fa6uruLGjRtSWn5+vlq+9PR00b9/fzF9+nSV9ODgYOHr66uxLr6+viI4OFgt/fjx40Iul4vdu3dLaU/rWM6ZM0d4enqK4uJijXWqqosXLwq5XC5CQ0MrzKdpW5QUCoXatgghxM6dO4VcLhf79u2T0pTnoJubm7h69araMgsWLBByubwGWyJETk6OkMvlYsmSJZXm1XT+aEoTovrnVXUFBwerbfPq1auFXC4XV65cUUn/5JNPhJubm7h3757a8l988YVKXuX59Omnn6qlVeUcK4/yXAgLC6vWdirP/cfPIV9fXyGXy8XOnTvVlikqKtJ4jq9du1bI5XJx9uxZtXoNHjxY5OTkSOkFBQViwIAB4o033pDSvv/+e7XlNVm3bp2Qy+Vi3LhxoqioSEq/c+eOcHd3FyNGjJDSrl27Jnr06CEmTJigkvfevXuib9++wtfXV5SUlAghhFi2bJmQy+UiIyOjwvKDgoKEm5ubuHjxopSmUCjE3LlzhVwuF8eOHZPSld+dx8//uLg4IZfLRWRkpJT2+uuvi8DAwArLVpo3b54YOXKkStpnn30m5HK56NWrl5g4caJYsWKFiIuLE9nZ2WrLl3e+yOVyMXPmTCGEEBs3bhRyuVz89NNP0ufBwcHC3d1dZRnl8SjvVd1zsjZlZGSIhw8fSu9zcnLEgwcPpPeFhYUiPT1dZZlbt25V+P727dsq30+W0fDKUCBACASI0SP3CfG//5d9vfrq/n/eb9r/zG7Hs1hGTeD/8qv8on/UaIrlwMBAtbtMsbGxMDY2hpeXF7KysqRXbm4uPDw8cOvWLVy/fl1lmZ49e6JTp07Se5lMJt2lPnToEIBHd7qOHDkCT09P6Ovrq6y7RYsWsLe3x7Fjx6R1GBgYSHfQiouLkZ2djaysLPTu3RsKhQJ//fVXTTa5Wvbv34+ioiIMGzZMpb5ZWVnw8PCAQqFAcnKylN/Q0FD6f35+PrKysqCtrQ0nJyf8+eeftVrXJz2WJiYmePjwIY4cOQIhRI3roWxJO3nyJDIzM2u0DplMJm1LaWkpcnJykJWVBVdXVwDAH3/8obaMu7v7E7VkaaKvrw89PT388ccfuHXr1lNbb3XPq6dh+PDhkMlkiI6OltIKCgoQFxeHl156SePd78e7S/Xr1w8ODg5ISEiQ0mrye1EXzM3NNXYZ1NXVlVoFSkpK8ODBA2RlZUndjjSdW35+ftJ5DTz6bXJ2dlbZLuXnCQkJKCwsrLR+r7/+ukprorJVJyUlBdeuXZPWJYTAuHHjVPI2bdpU6pJ64cIFlfIPHjyIkpISjWVmZmbi999/h6enJ9q3/+durEwmw4QJEwD883v9eF3LUnYRvHHjhsr237t3D2fOnKlwu4uKivDLL7+oTXbx73//G4sWLULXrl3x559/Ijw8HPPmzYOPjw+++uorlJaWVrheTXVu2rQpvv7663L3R1lz587FmjVr1F7e3t7VKrc2WVlZqYy9MzExgampqfReT08P1tbWKsvY2tpW+L558+YqLVUso+GVIbN+9N3f0+FF3DM2U1lftoEh9nUo0wo8yv2Z3Y5nsQyqOzXqTtaqVSu1tJSUFOTl5WHQoEHlLpeZmanSx7p169ZqeV544QUAj/o7K9erUCgQHR2tciFVlrJbAfDoAiM0NBSxsbG4ceOG2oX1gwcPyt+wpyQlJQUAMHXq1HLzlL1Qv3nzJtasWYOkpCTk5OSo5KtKl4Yn8aTHMigoCKdOncKcOXNgbm6O7t27o0+fPvD29q7WgGhbW1tMmDABoaGh8PHxQYcOHeDq6oqBAweiS5cuVV5PXFwcIiIicOHCBbWLEE3HXtP2PyldXV3MmjULy5Ytg7+/P1544QX06NEDXl5eT9TXvrrn1dNgZ2cHNzc3xMbGYvr06dDR0UFcXBzy8vIwbNgwtfympqYaZ2Zq06YN4uPjUVBQAENDwxr9XtQFOzs7tdnilLZv344dO3bg6tWrUCgUKp89/r1Vrutx5ubmyM7Olt4PGjQIsbGxCAkJwZYtW+Ds7IxevXph8ODBGv8wagq4y/5mtmnTRgqc27Ztq5ZXmZaamgpHR0e88sorSEhIwNKlS7Fq1Sq8+OKLeOmllzB48GCpK6hyfcpyHq+PlpaW9Htd0fYrx6SV3f5p06Zhzpw5mDhxIpo2bQq5XA53d3cMGDBAJQBLTk5GXl4e+vXrp7JOmUyGoUOHYujQoSguLsalS5eQlJSE77//HmFhYTA1NUVQUJBa3cpjYGCASZMm4dNPP0VkZCRGjRpVYf4uXbpwYD81TJfXApbjkG1ihhHjZmPj9nXokH4bV62aYfK/gnHf+H8TFr03DDCsnwloGhUOiamRGgUxmvr6CiFgaWmpsW+0kqY/qlX18ssvw9fXV+NnZaPo5cuXY+vWrfD29saECRNgaWkJHR0dnD9/HqtWrXqi1oKqUpaxaNGicqfaVP6Bz8/PR3BwMAoKCvDaa6+hXbt2MDY2hkwmQ2hoKI4fP17lcssLeCq6G/mkx7JVq1bYvn07kpOTcfz4cZw6dQqLFy+WBiJXdYwR8Oji3N/fH0eOHMGZM2cQHR2N8PBwjBs3DjNmzKh0+YMHD+L9999Hly5dMGfOHNjY2EBPTw8KhQLTp0/XeOxrq996YGAgvLy8cOTIEZw8eRIHDhzAtm3b4O3tjSVLltRondU5r56mgIAAzJs3DwkJCRgwYACio6OlCRNqqrZ/L2qqvPMhIiICK1asQK9evTBq1Cg0adIEurq6SEtLw8KFC9WCGgDlBkNl6enpYe3atfjjjz+QlJSEU6dOSd+dxYsXq120P20WFhYICwvD6dOncezYMZw+fRpffvkl1q9fj5UrV1ZrHNjjytv+st/Drl27YteuXfj1119x4sQJnDx5Ej/99BM2btyIb7/9Vpr5MT4+HjY2NujcuXO55enq6sLR0RGOjo7o378/Ro4ciejo6GoFMQDg7++PzZs3Y9OmTVWeyIOowbEwAUQUsPQhjrzQGR3fWwGr/FxkGpk8mo2stPTR50TPsKf2nJiWLVvi+vXrcHZ2rvKsMMo7y2VdvXoVwD8XY/b29pDJZCgpKVEZuFqe2NhYdO/eXe1CsWwXBqXaauVo2bIlgEcXCJXVOTk5GWlpaZg/f740M5XS119/rZa/ojqbmZlpbG3QdJe0ItU9lnp6enB3d5cuao8cOYJ33nkHmzdvxty5c6tVtr29PUaNGoVRo0ahsLAQ06dPR1hYGMaMGQMrK6sKtz82Nhb6+vpYv369ysWopvOsMk/j3GjSpAmGDx+O4cOHo7S0VBrIPmbMmGq1LilV57x6mry8vGBlZYXo6Gi0bdsWv/32G8aPH69xRqicnBykp6erBVnXrl2DlZWV1HWyJr8X9Sk2NhYtWrTAV199BS2tf3rh/vLLL09l/U5OTtKsXXfu3MHo0aPx9ddfqwUx165dQ4cOHVTSHv/NVP575coVtZsIj+cFHgUbPXr0kLp7Xbp0CWPGjMHGjRuxcuVK6TkoymXLUraUP0nwbGRkhAEDBmDAgAEAHrV4ffbZZ4iOjsa4ceOgUCiQmJhYrS5arVu3hpmZGdLS0qpdH21tbbz99tuYM2cOIiIiqr08UYMkkyHT2LTyfETPkBqNidFk6NChUCgU5c6xn5GRoZZ27NgxnD9/XnovhEBYWBgASH2fLSws0KdPHxw8eBBnz55VW4cQAvfv35fea2lpqd1xLygowJYtW9SWVV5QPe0uZt7e3tDT08P69evx8OFDtc9zc3NRVFQE4J+7lY/XOSkpSWM/eyMjIzx48EBjq0KrVq2QkpKCe/fuSWlFRUXYvn17tepfnWOpaWYe5Tinst1GKpObm6vW/UtfX1/qcqg8RsoLXk3rVl5clr0rLoTAxo0bq1wPJeW5UZ1tUHr48KHacdfW1pbGE1R2vhkZGWkstzrn1dOko6MDX19fJCUlSdOKa+pKpvTdd9+pvD906BD+/vtvldnGavJ7UZ+0tbUhk8lUvnfKrqtPQtP3x8bGBpaWlhrPgS1btqC4uFh6f/fuXfz8889wcHCQupp5enpCJpMhPDxc5TuVnp6OmJgY2NraSg901FR+69atYWBgIJ2nVlZW6Nq1KxITE3H58mUpnxACISEhAFDjFqOKfj+U5f/222/IzMxUKyM9PV0a2/O406dPIzs7u8bj3by8vNC1a1ds3rxZ5e8LERE9O55aS8zAgQPh5+eHbdu24fz58/Dw8ICFhQXu3buH33//HTdv3lQb09K+fXtMnjwZI0eORJMmTZCQkIDk5GQMGTJEpRvDvHnzMHHiRAQHB2Po0KHo2LEjFAoFUlNTkZiYiCFDhkhPVh8wYACioqLw/vvvw83NDRkZGYiJidH4QMouXbpAS0sLmzZtwoMHD2BoaAg7OzuV5xjUhI2NDebNm4fFixdj5MiRGDJkCGxtbXH//n1cvnwZ8fHx2L59O1q0aIFu3brB2toaK1aswO3bt9GsWTNcvHgRsbGxaNeuncpFA/Doju3hw4fx+eefo2vXrtDS0oKrqyusrKzwyiuvYN++fZg6dSpGjBiB4uJixMbGVrvLVHWO5bRp02BqagoXFxfY2NggJycHMTExkMlk1Xpo4okTJ/Dpp5+if//+cHBwgJGREc6dO4fo6Gg4OTlJwUybNm1gbGyMyMhIGBgYwNTUFFZWVnB1dcWAAQNw8OBBTJ48GUOHDkVJSQkSEhI0XvBXxtnZGdu2bcPSpUvh7u4uPWejKnec//77b0yaNAn9+vVD27ZtYWpqipSUFERGRsLOzk7tKfGPc3JyQnJyMkJDQ6VBiIMHD67WefW0BQQEIDw8HD///DO6d+9e7lgiCwsLHDx4EGlpaZDL5dIUy9bW1tJ3FKjZ70V9GjBgAFavXo0ZM2agX79+yMvLw88//6yxNao6Nm7ciKSkJLi7u8POzg5CCBw+fBgpKSkap+IuLS3FxIkTMXjwYOTn52PHjh0oLCzEv//9bylP69atMXbsWISFhSE4OBje3t7SFMv5+fn45JNPpJsnixcvxr1799CzZ0/Y2tqisLBQGvM0dOhQaZ1z5szBpEmTEBwcLE2xfOTIEfz666/w8fGp8VivwMBAODs7o0uXLmjatKk07b2urq40XurQoUMwNzdX+97cu3cP48aNg5OTE1xdXWFnZ4fi4mJcvHgRP/30E3R0dDBt2rQa1QsAZsyYgYkTJ+LatWsqk6+U9csvv2hs6TU0NKz1roBERI3dUwtigEfPMOjRowd27tyJ0NBQFBcXw9raGp06ddL4x8TT01N62OXff/8NKysrTJw4ERMnTlTJ17x5c0REROC7775DQkIC9u7dCz09PdjY2MDDw0Olm8GsWbNgbGyMuLg4JCQkwMbGBgEBAXB0dFQbEN28eXPMnz8f3333HZYuXYqSkhL4+vo+cRADPOpX3apVK0RERCAqKgo5OTmwsLCAg4MDpkyZIs12YWpqitWrV+Orr77C1q1bUVpaik6dOmHlypWIjo5WC2JGjx6N1NRUHDhwADt27IBCocC6detgZWWFbt26YeHChdi0aRNWrlyJZs2aYcSIEXB0dJQeEFdVVT2WgYGBiIuLQ1RUFLKzs2Fubo6OHTvivffeq9YDC9u3b49+/fpJfeJLS0vRvHlzBAUFYcyYMVI+AwMDfPrpp9IDFYuKitC9e3e4urpKF3ZbtmzBypUrYWpqCk9PT7z99ttSV5WqGjx4MC5cuIB9+/bhwIEDUCgUWLBgQZWCGBsbG/j7++PkyZOIj49HcXExmjZtioCAAIwfP77SoHLevHn47LPPEBISgry8PKk+QNXPq6etZcuW6NGjB44fP15hK4yhoaF0bFavXg0hBHr37o13331XrYtZdX8v6tPYsWMhhEB0dDSWLVsGa2treHt7w9/fHyNHjqzxevv27Yv09HTs378fmZmZ0NfXR8uWLfHRRx9p3M+LFi3Cjh078N133yEnJwft2rXDggUL0KtXL5V8M2bMQMuWLbF9+3asXr1aeoDu4sWLVYKBIUOGICYmBj/++CPu378PY2NjvPDCC/jss89UvjOOjo7YtGkT1q9fj8jISOlhl9OnT1f5flbXmDFjcPToUWzduhW5ubmwsrKCk5MTgoKCpG5zCQkJ8PDwUBtj07p1a8ydOxfHjh3Dvn37kJmZiZKSEjRp0gReXl4YPXq0yuyX1dWtWzd4enoiMTGx3Dzr1q3TmN6sWTMGMUREtUwm6mKk+2PKPi297N1ZInp2zZgxA2fPnsXevXs1BmKTJk3C7du3ERMTUw+1e74pB/vv3r27VlranlUXL17E66+/ji+++EJtemUienKypQ8BTS3KpaUQczkrWV2RLSyocl6xUHPLcGP01MbEENHz68aNG0hKSsLLL7/MJ5FTnSkqKkJwcLBaSxMREdFT7U72PCgtLa3SQE5zc3OV5xiQZvn5+cjPz68wj7a2tvRMimfZw4cPkZubW2m+8qY/riu5ubmVjgPS1dXVOE7scX/88QeuXbuGH374Abq6uk/UdYiousrO2kZERFQWg5jH3L17V22qY03WrVtXrTEfjVV4eLg0o1V5bG1tG0QXpLi4OCxatKjSfCdOnKiD2pTviy++wJ49eyrM0717d3zzzTeVrisyMhI//vgj7Ozs8MknnzSqrkxERET07KqXMTHPssLCQpw5c6bSfJ07d4aZmVntV6iBu3nzZqXPqdHX10e3bt3qpkJPID09HVeuXKk0X10+w0WTq1evVvp8DDMzswofHEhERM8/jol5NsgWVX0WVbGAXbqVGMQQERERNUIMYp4NDGJqhgP7iYiIiIioQWEQQ0RERNQYsTMONWAMYoiIiIgaod66uuqBjBCATFY/FSKqBgYxRERERI3QL3N0gMLCR4GL8lVcDPGeXn1XjahSnGKZiIiIqJESH5mguLgYISEhAICgoKB6rlEjxIavGmFLDBERERERNSgMYoiIiIiIqEFhEENERERERA0Kx8QQEREREdUbDoqpCQYxRERERI2Y3koAeA3AT+Cwfmoo2J2MiIiIqJGSfVHyv/8ZAhj+v4CG6NnHIIaIiIioEfongJGp/PtPOtUJWTVeJGEQQ0RERET/wytlahgYxBARERERUYPCIIaIiIiIiBoUBjFERERERNSgMIghIiIiIqIGhUEMERERERE1KHzYJRERERFRfeGEcDXClhgiIiIiImpQGMQQEREREVGDwiCGqBHLysrC/Pnz4ePjgx49emDSpEn1XSVqQHr06IGFCxfWdzWIiKgR4pgYogbqwoULiI+Ph5+fH1q0aFGjdSxfvhxxcXGYMGEC7OzsYGVl9ZRrqSomJgY5OTl4/fXXa7WcZ9WtW7cQExMDLy8vdOzYsdbKiY+Px4ULF/DWW2/VWhnlWb9+PTp27AgvL69aL2vhwoXYs2cP9u/fDwsLCyndz88Pt2/frtI61q1bhx49eqBHjx4q6bq6urCxsYGHhwfefPNNlfUTEVH9YxBD1EBdvHgRGzZsgFwur3EQc+zYMfTq1QvBwcFPuXaaxcTE4Pbt2406iNmwYQNatGhR60HMnj17aj2IOXr0KLS1tVXSNmzYAF9f3zoJYsoze/Zs5OfnS++vXbuGkJAQ9OvXD/369VPJ26ZNG+n/HTp0wJgxYwAADx48wLFjx/D999/j2LFj2Lx5M3R1detmA4iIqFIMYqjRKy0tRXFxMQwMDOq7KnUuIyMD5ubm9V2Np6IxH0elvLw8GBsb11l5+vr6dVZWdTweQJ04cQIhISFo164dhgwZUu5yzZo1U/l81KhRmDNnDuLj45GYmIgBAwbUVpWJ6pXJw3z0+vsS7pha4I8WDkBpKSB7RTWTR2dg4atAU3PA2aF+KkpUBoMYalRiYmKwaNEirFmzBmfPnkVMTAzu3LmDjz76CL6+vtixYwd27dqFa9euQUtLC46OjggODlbpanLr1i34+/sjODgYDg4OCA0NxfXr12FpaQl/f3+8+eab0NFR/Wqlp6djw4YNOHLkCDIyMmBhYQEPDw9MmTJFpQtXWloaIiIicPz4cdy+fRuFhYWws7PD0KFDMXbsWOmu9/r167FhwwYAwOTJk6XlfX19qzRGoezye/bswZ49ewAACxYsgJ+fH4BHrTRhYWH4888/UVRUhFatWiEwMBCBgYEq60pKSkJ0dDT++usvpKenQ1dXF126dMGECRMgl8ulfGW7+JTdn8ruPH5+frC1tcU333yjsv4TJ05g8uTJKnWr6Dj6+flBCFGlY6nc/m3btuH69esoKSmBtbU1nJ2dMXv2bFhaWla6L5Xu3LmD9evX4/jx48jIyICJiQlatmyJf/3rX/D19ZXqDACLFi2S/t+9e3d88803UCgUCAkJQVJSEq5fv47s7GxYW1vD3d0dU6ZMUenOVPYcbNOmDcLCwnDt2jV4e3vj1q1bOHXqlNp+Lrv/KpOdnY1vv/0WiYmJSEtLg6GhIWxtbTFo0CCMGzdOytejRw/pnFPWSblPlecU8OgYKlX1vHpWuLm5IT4+Hjdu3FBJr+x4EzUU/S/+jp1hy2BWWAAAiHBxx4Rhb6pnPHwOGLDw0f+HdAd2vAcY6NVdRZ9nMs6xXBMMYqhRWrlyJUpKShAQEABjY2M4ODhg/vz5+PnnnzFgwAD4+fmhuLgYe/fuxbRp0/D555+jb9++KutITExEamoqRo4cCWtrayQmJmLDhg24c+cOFixYIOW7c+cOgoKCUFxcjGHDhsHe3h43btzAjh07cOLECYSHh8PExAQAcOnSJRw6dAheXl6wt7dHSUkJfv31V6xevRqpqan48MMPAQD9+/dHeno6du7ciaCgIKlLjL29fZW2v3///mjZsiXmz58PFxcXBAQEAAC6du0KAIiKisKSJUvg7OyMCRMmwNDQEMeOHcPSpUuRmpqKmTNnSuuKiYlBdnY2hgwZAhsbG9y7dw/R0dGYOnUq1q1bBxcXFwCPuvisXr0aWVlZmDVrlrR82e481aXpOAKo8rH88ccfsXDhQri4uGDy5MnQ19fH3bt3cfToUWRmZlY5iCkpKcG0adOQlpaGwMBAtGrVCrm5ubh8+TJOnz4NX19fuLi4ICgoCCEhIQgICJD2izKILS4uRnh4OPr374++ffvCwMAAf/31F6Kjo3HmzBlERESodWdKSEjA1q1bMWLECIwYMQLGxsYwMzODEAKnT5/Gxx9/LOVVHtuqmDdvHk6dOoURI0agffv2KCwsxLVr13Dy5EmVIKYsS0tLfPzxx2rnVFnVOa+eFTdv3gQAmJmZSWlVOd5EDUJJCdbu2igFMAAw5vQRXLNsUvFysaeAjQeAaS/XcgWJKiCIGpHdu3cLuVwuAgICREFBgZR+8OBBIZfLxY4dO1TyFxcXizFjxgg/Pz+hUCiEEEKkpqYKuVwuXF1dxblz56S8CoVCzJ49W8jlcvH7779L6e+++64YOHCguHPnjsq6//zzT+Hm5ibWrVsnpRUUFEjllPXRRx8JV1dXkZaWprYtx48fr+HeEEIul4sFCxaopKWlpYnevXuLDz74QC3/f//7X+Hq6ipu3LghpeXn56vlS09PF/379xfTp09XSQ8ODha+vr4a6+Lr6yuCg4PV0o8fPy7kcrnYvXu3lFbecRSiesdyzpw5wtPTUxQXF2usU1VdvHhRyOVyERoaWmE+TduipFAo1LZFCCF27twp5HK52Ldvn5SmPAfd3NzE1atX1ZZZsGCBkMvlNdgSIXJycoRcLhdLliypNK+m80dTmhDVP6+qQrmd9+/frzCfcr+X/a49Ti6Xi2nTpon79++L+/fvi+vXr4utW7eKXr16CQ8PD5GRkSHlrerxfhZkZGSIhw8fSu9zcnLEgwcPpPeFhYUiPT1dZZlbt25V+P727dsqv1Mso+GWYf3BLSEQoPaKbb9AY3rZV8nYFc/MdjxLZdQEFhdW+UX/4BTL1CgFBgaqjJ2IjY2FsbExvLy8kJWVJb1yc3Ph4eGBW7du4fr16yrr6NmzJzp16iS9l8lk0l3qQ4cOAQByc3Nx5MgReHp6Ql9fX2XdLVq0gL29PY4dOyatw8DAALL/NSsXFxcjOzsbWVlZ6N27NxQKBf76669a2ydK+/fvR1FREYYNG6ZS36ysLHh4eEChUCA5OVnKb2hoKP0/Pz8fWVlZ0NbWhpOTE/78889arevjxxGo3rE0MTHBw4cPceTIEQghalwPZUvayZMnkZmZWaN1yGQyaVtKS0uRk5ODrKwsuLq6AgD++OMPtWXc3d2fqCVLE319fejp6eGPP/7ArVu3ntp6q3te1YekpCQMHDgQAwcOREBAAD7//HO0bdsWa9euVen2+TSOd12xsrJSGbtkYmICU1NT6b2enh6sra1VlrG1ta3wffPmzaXfKZbRsMvIMLXEGVv18S2nbVurpT1Ou1eHZ2Y7nqUyakRWjRdJ2J2MGqVWrVqpvE9JSUFeXh4GDRpU7jKZmZlSdyUAaN26tVqeF154AQCQmpoqrVehUCA6OhrR0dEa12tnZyf9v6SkBKGhoYiNjcWNGzfULqwfPHhQ8YY9BSkpKQCAqVOnlpun7IXbzZs3sWbNGiQlJSEnJ0cln6yW+/k+fhyB6h3LoKAgnDp1CnPmzIG5uTm6d++OPn36wNvbu1oD5G1tbTFhwgSEhobCx8cHHTp0gKurKwYOHIguXbpUeT1xcXGIiIjAhQsXUFJSovKZpmOvafuflK6uLmbNmoVly5bB398fL7zwAnr06AEvLy+4ubnVeL3VPa/qg5OTE6ZMmQIhBO7cuYMtW7bg3r17amPcntbxJqp3Ojp485Up2BX6X7TMzkCJlhaWewzF4oH/wgeJu8tfbqgceHNg3dWTSAMGMdQoPX73XggBS0tLLF68uNxl2rZtW+PyXn755XL7yZe9C7R8+XJs3boV3t7emDBhAiwtLaGjo4Pz589j1apVT9RaUFXKMhYtWoQmTTT3i1YGXvn5+QgODkZBQQFee+01tGvXDsbGxpDJZAgNDcXx48erXG55AU9paWm5y2iaiaw6x7JVq1bYvn07kpOTcfz4cZw6dQqLFy+WJj6o6hgj4NHFub+/P44cOYIzZ84gOjoa4eHhGDduHGbMmFHp8gcPHsT777+PLl26YM6cObCxsYGenh4UCgWmT5+u8djX1kxsgYGB8PLywpEjR3Dy5EkcOHAA27Ztg7e3N5YsWVKjdVbnvKovFhYW6Nmzp/S+X79+GDVqFObOnYutW7eq7O8nPd5Ez4pT9i/A4YM1MCkqRKlMhnx9g0ezkz2uXxdg/itAEzPAibOTUf1jEEMEoGXLlrh+/TqcnZ1hZGRUpWWUd5bLunr1KoB/Lsbs7e0hk8lQUlKicnFUntjYWHTv3l3tQvHxmZGA2mvlaNmyJQD1CzpNkpOTkZaWhvnz50szUyl9/fXXavkrqrOZmZnG1gZlq1ZVVfdY6unpwd3dHe7u7gCAI0eO4J133sHmzZsxd+7capVtb2+PUaNGYdSoUSgsLMT06dMRFhaGMWPGwMrKqsLtj42Nhb6+PtavX69ysazpPKvM0zg3mjRpguHDh2P48OEoLS2VJksYM2ZMjVobqnNePSvMzc0xZcoUfPzxx9iyZQsmTJig8nllx5uooRBaWsgx+KdrMLS1ARFVfxUiqgKOiSECMHToUCgUCqxevVrj5xkZGWppx44dw/nz56X3QgiEhYUB+Oc5FRYWFujTpw8OHjyIs2fPqq1DCIH79+9L77W0tNTuuBcUFGDLli1qyyrHojztLmbe3t7Q09PD+vXr8fDhQ7XPc3NzUVRUBADSlM+P1zkpKUnjGA4jIyM8ePBAY6tCq1atkJKSgnv37klpRUVF2L59e7XqX51jmZWVpfa5cpxTdnZ2lcvMzc1V6/6lr68vdTlUHiNlUKVp3Vpaj36OFQqFlCaEwMaNG6tcDyXluVGdbVB6+PCh2nHX1tZG+/btAVR+vhkZGWkstzrn1bNkyJAhsLOzQ0REBHJzcwFU/XgTEVHtYUsMEYCBAwfCz88P27Ztw/nz5+Hh4QELCwvcu3cPv//+O27evKk2pqV9+/aYPHkyRo4ciSZNmiAhIQHJyckYMmSIynS28+bNw8SJExEcHIyhQ4eiY8eOUCgUSE1NRWJiIoYMGSI9WX3AgAGIiorC+++/Dzc3N2RkZCAmJkbjAym7dOkCLS0tbNq0CQ8ePIChoSHs7Ozg5OT0RPvCxsYG8+bNw+LFizFy5EgMGTIEtra2uH//Pi5fvoz4+Hhs374dLVq0QLdu3WBtbY0VK1bg9u3baNasGS5evIjY2Fi0a9cOly9fVlm3k5MTDh8+jM8//xxdu3aFlpYWXF1dYWVlhVdeeQX79u3D1KlTMWLECBQXFyM2NrbaXaaqcyynTZsGU1NTuLi4wMbGBjk5OYiJiYFMJqvwoYiPO3HiBD799FP0798fDg4OMDIywrlz5xAdHQ0nJyfp4rZNmzYwNjZGZGQkDAwMYGpqCisrK7i6umLAgAE4ePAgJk+ejKFDh6KkpAQJCQkaL/gr4+zsjG3btmHp0qVwd3eHjo4OnJycqtRd6++//8akSZPQr18/tG3bFqampkhJSUFkZCTs7OykqaHL4+TkhOTkZISGhkqDaAcPHlyt86q6Nm/erPHBm66urnjxxRervb6ydHR0EBQUhMWLF+OHH37AxIkTq3y8iYio9jCIIfqfBQsWoEePHti5cydCQ0NRXFwMa2trdOrUCdOmTVPL7+npKT3s8u+//4aVlRUmTpyIiRMnquRr3rw5IiIi8N133yEhIQF79+6Fnp4ebGxs4OHhAW9vbynvrFmzYGxsjLi4OCQkJMDGxgYBAQFwdHRUGxDdvHlzzJ8/H9999x2WLl2KkpIS+Pr6PnEQAwD+/v5o1aoVIiIiEBUVhZycHFhYWMDBwQFTpkyRZmsxNTXF6tWr8dVXX2Hr1q0oLS1Fp06dsHLlSkRHR6sFMaNHj0ZqaioOHDiAHTt2QKFQYN26dbCyskK3bt2wcOFCbNq0CStXrkSzZs0wYsQIODo6YsqUKdWqf1WPZWBgIOLi4hAVFYXs7GyYm5ujY8eOeO+999QeilmR9u3bo1+/fjh58iR++uknlJaWonnz5ggKCsKYMWOkfAYGBvj000/x9ddf48svv0RRURG6d+8OV1dXDB48GPn5+diyZQtWrlwJU1NTeHp64u233672k+IHDx6MCxcuYN++fThw4AAUCgUWLFhQpSDGxsYG/v7+OHnyJOLj41FcXIymTZsiICAA48ePrzSonDdvHj777DOEhIQgLy9Pqg9Q9fOqukJCQjSm6+joPHEQAzx6iOy3336LzZs3Y9SoUVU+3kREVHtkoi5GChM9R8o+LV3ZgkJERNTQyL4oKfczMYf3ueuKbEnVu9KK9/VqsSYNC8fEEBERERFRg8Iwm+g5UlpaqjJRQHnMzc2hq6tbBzVq2PLz85Gfn19hHm1tbVhaWtZRjWru4cOH0sD0ipQ3/XFdyc3NrXQckK6ursZxYkRE1HgwiCF6jty9e1dtqmNN1q1bV60xH41VeHg4NmzYUGEeW1tbxMTE1FGNai4uLg6LFi2qNN+JEyfqoDbl++KLL7Bnz54K83Tv3h3ffPNNHdWIiKi21e6DoZ9XHBND9BwpLCzEmTNnKs3XuXNnmJmZ1X6FGribN29W+pwafX19dOvWrW4q9ATS09Nx5cqVSvPV9zNcrl69irS0tArzmJmZoXPnznVUI6LnF8fEPBtkS4qrnFe8z14USgxiiIiIiBohBjHPBgYxNcOB/URERERE1KAwzCYiIiIiqi8cElMjbIkhIiIiov/hKANqGBjEEBERETVC/4x7ESr/cjwMNQQMYoiIiIgaqX8ClnwAkSiaWZ+1Iao6htpEREREjVjRTCAk5If6rgZRtbAlhoiIiIiIGhS2xBARERER1RfOTlYjbIkhIiIiIqIGhUEMERERERE1KAxiiIiIiIioQWEQQ0REREREDQqDGCIiIiIialAYxBARERERUYPCKZaJiIiIiOoLp1iuEbbEEBERERFRg8IghoiIiIiIGhQGMURERERE1KAwiCEiIiIiogaFQQwRERERETUoDGKIiIiIiKhB4RTLRERERET1RcY5lmuCLTFERERERA3YwoULYWJiUt/VqFMMYoiIiIiIqEFhdzIiIiIiovrC3mQ1wpYYIiIiIqLn2NmzZzF48GAYGxvD3NwcgYGBuH79uvT5m2++CQ8PD+l9eno6tLS04OrqKqXl5uZCV1cX27dvr9O6l4dBDBERERHRc+rGjRvw9PRERkYGIiIisG7dOpw6dQp9+/ZFTk4OAMDT0xPHjx/Hw4cPAQCJiYnQ19fH6dOnpTy//PILSkpK4OnpWW/bUha7kxERET2HhBDSxQdRRYqLi1FQUAAAePDgAXR1deu5Rg2XqakpZM/YbGPLly9HcXEx9u3bBysrKwCAi4sLHB0dERoaiunTp8PT0xOFhYU4duwY+vbti8TERAQEBGDfvn04evQofHx8kJiYiA4dOsDGxqaet+gRBjFERETPoZycHJibm9d3NaiBeeedd+q7Cg1adnY2zMzMqrWMmFO7l+OHDx9G//79pQAGADp16oQXX3wRR44cwfTp09GmTRvY29sjMTFRCmImT56MgoICJCQkSEHMs9IKAzCIISIiei6ZmpoiOzu7vquhJjc3F0OHDsWPP/7Y6KaEfZbxuDwdpqam9V0FNffv30e3bt3U0m1sbJCZmSm9VwYvDx48wG+//QZPT0/k5eUhMjIShYWFSE5ORnBwcB3WvGIMYoiIiJ5DMpms2neE64KWlha0tbVhZmbGi+VnCI/L88vKygr37t1TS7979y46dOggvff09MSsWbMQHx+PJk2aoFOnTsjLy8PcuXNx6NAhFBYWqgz+r28c2E9ERERE9Jxyd3fHgQMHcP/+fSntwoUL+P333+Hu7i6lKVtevvzyS6nbWLdu3WBoaIilS5eiZcuWaN26dV1Xv1xsiSEiIiIiauBKS0sRGRmplj5z5kyEhIRg0KBB+PDDD/Hw4UN89NFHaNWqFd544w0pX6dOndCsWTMkJCTgq6++AgBoa2ujT58+2Lt3L0aPHl1Xm1IlDGKIiIiozujp6SE4OBh6enr1XRUqg8el4Xv48CFGjhyplh4eHo6EhATMmTMHo0ePhra2Nry9vfHll1+qjeHx9PREZGSkygD+vn37Yu/evc/UoH4AkAkhRH1XgoiIiIiIqKo4JoaIiIiIiBoUBjFERERERNSgcEwMERER1YvS0lJERETgyJEjuHr1KoQQaN++PSZPngwXF5f6rl6jkJKSgs8//xy///47jI2NMWTIEEydOhW6urr1XTWiCnFMDBEREdWL/Px8DB06FL6+vujZsye0tLSwc+dOJCYmYvXq1XB1da3vKj7XHjx4gFdeeQWtWrVCUFAQ7t27h+XLl+Pll1/G3Llz67t6RBViEENERET1orS0FHl5eSoP5SwtLcWrr76Kli1bYvny5fVYu+dfSEgINm3ahD179sDc3BwAEBUVhc8++wx79uxB06ZN67mGROXjmBgiIiKqF8onxD+e1r59e6SlpdVTrRqPX375BW5ublIAAwDe3t5QKBRISkqqx5oRVY5BDBERET0zSkpKcPbsWbRp06a+q/LcS0lJUXsCu6mpKZo0aYKUlJR6qRNRVTGIISIiomdGWFgY0tLS8Prrr9d3VZ57Dx48UHvYIfAokHnw4EE91Iio6jg7GRERET01ubm5SE9PrzSfnZ2d2gxYSUlJWL9+PSZOnIjOnTvXVhWJ6DnAIIaIiIiemv3792Px4sWV5ouMjFTpynT+/HnMnTsXPj4+CA4OrsUakpKZmRlyc3PV0nNyctTGKhE9axjEEBER0VMzfPhwDB8+vFrL3LhxAzNmzEDXrl3xf//3f7VTMVLTunVrtbEvypa0x8fKED1rOCaGiIiI6k16ejrefvttNG/eHJ999hl0dHh/ta689NJLSE5ORk5OjpS2f/9+aGlpoVevXvVYM6LK8TkxREREVC8ePnyICRMmIDU1FZ988gksLS2lz3R1ddGpU6d6rN3zr+zDLidMmCA97NLHx4cPu6RnHoMYIiIiqhe3bt2Cv7+/xs9sbW0RExNTxzVqfK5du4b//ve/+O2332BsbIyhQ4di6tSpapMuED1rGMQQEREREVGDwjExRERERETUoDCIISIiIiKiBoVBDBERERERNSgMYoiIiIiIqEFhEENERERERA0KgxgiIiIiImpQGMQQEREREVGDwiCGiIiIiIgaFAYxREREVK433ngDMpmsvqsBAPjjjz+go6ODuLg4KS0+Ph4ymQyhoaH1VzF6JoSGhkImkyE+Pr5Gy/Nc0uzMmTPQ0tJCQkJCfVdFBYMYIiJqdK5evYpJkyahU6dOMDIygqWlJTp37ozx48fj0KFDKnlbt24NJyenctelvMhPT0/X+Pm5c+cgk8kgk8lw+PDhctejzKN8GRgYoH379pg1axYyMzNrtqHPmVmzZqFPnz7w9vau76rUiZSUFCxcuBBnzpyp76pQHcnKysLChQtrHIjVVEXnWrdu3TB8+HDMnj0bQog6rVdFdOq7AkRERHXpxIkT6Nu3L3R1dTFu3Dh06dIFBQUFuHTpEvbt2wdTU1P069fvqZW3ceNGmJqawtDQEJs2bYKHh0e5ebt164bZs2cDADIzMxEbG4vly5cjLi4OJ0+ehJ6e3lOrV0Pz66+/Ii4uDrt27VJJ9/T0REFBAXR1deunYrUoJSUFixYtQuvWrdGtW7f6rg7VgaysLCxatAgA4OXlVWflVnauvfPOO+jbty9iY2MxdOjQOqtXRRjEEBFRo7Jo0SLk5+fjzJkzePHFF9U+v3PnzlMrq7i4GOHh4Rg5ciTMzc3xzTff4KuvvoKpqanG/HZ2dhgzZoz0fsaMGfDz88OePXsQHR2NkSNHPrW6NTRr165FkyZNMGTIEJV0LS0tGBgY1FOtiBoHDw8PtG7dGuvWrXtmghh2JyMiokbl0qVLsLa21hjAAEDz5s2fWlkxMTG4d+8exo8fjzfeeAN5eXnYunVrtdYxePBgAMDly5fLzfP1119DJpNh9+7dap8pFArY29ur3F3dt28fXn31VbzwwgswNDSEhYUFBg0aVOU+715eXmjdurVaekpKCmQyGRYuXKiSLoTA119/DblcDiMjI5iYmKBfv35qXffKU1JSgl27dmHgwIFqLS6axjGUTVu7di06duwIAwMDODs7Y8+ePQCAs2fPwsfHB2ZmZrC2tsaMGTNQXFyscTuvXr2KYcOGwdzcHGZmZggICMDVq1dV8ioUCnz66afw9PRE8+bNoaenh1atWmHKlCnIyMjQuF07duyAl5cXLCwsYGRkhI4dO2LGjBkoKipCaGio1CIYFBQkdTOsyt35lJQUjB07FjY2NtDX10fbtm3xwQcfID8/XyXfwoULIZPJcOHCBXzwwQewt7eHvr4+XnzxRcTGxlZaDvDPOJQDBw7g448/hoODAwwNDdGzZ08kJSUBABISEuDu7g5jY2PY2trik08+0biuXbt2oU+fPjA2NoaJiQn69OmD6OhojXk3bNiATp06QV9fH+3atcOKFSvK7eqUnZ2NuXPnol27dtDX10fTpk3x2muvqR3D6qrqfq5oXJlMJsMbb7wB4NF526ZNGwCPbrYoj7nyu1b2+/X999+ja9euMDAwQKtWrbBw4UKUlJSorLuq39OqnGsymQyDBw/GTz/9hNzc3GruqdrBlhgiImpU2rZtiwsXLiAqKgr/+te/qrRMaWlpuWNeCgsLy11u48aNaNOmDTw8PCCTyeDi4oJNmzZh4sSJVa7vpUuXAABNmjQpN8+oUaPw7rvvIiwsDP7+/iqfHThwAKmpqVI3NeDRRUtmZibGjRsHe3t7pKam4ttvv8WAAQNw6NChCru81cTYsWPx/fffIzAwEEFBQSgsLMTmzZvh7e2NqKgotTo/7uTJk8jNzYWbm1u1yl2zZg3u37+PiRMnwsDAAF999RUCAgKwfft2BAcH47XXXsPw4cOxb98+rFq1Cs2aNcNHH32kso68vDx4eXmhZ8+eWLJkCS5duoS1a9ciKSkJp0+floLeoqIi/Pe//8WIESMwbNgwGBsb4/jx49i4cSOOHDmi1h3www8/xH/+8x84Ojri3Xffha2tLa5cuYIdO3bg448/hqenJz744AP85z//waRJk6RjYmNjU+E2//3333Bzc0N2djamTp2K9u3bIz4+HkuWLMHRo0dx4MAB6OioXv6NHz8eurq6mDNnDoqKirBixQoMHz4cFy9e1HgRrMm8efNQWlqKmTNnoqioCMuWLcOgQYMQFhaGN998E5MmTcLo0aOxbds2zJ8/H23atFFpdVy7di2mTZuGTp06Yf78+QAenafDhw/H+vXrMWnSJCnvihUr8O677+LFF1/Ef/7zH+Tn5+OLL75As2bN1OqVnZ2Nl156CdevX8eECRPQpUsX3L59G2vXrkXPnj1x4sQJODg4VGkbn3Q/V6Zz585Yvnw53n33XQQEBEi/TyYmJir5du/ejatXr2LatGlo3rw5du/ejUWLFuHvv/9GSEhItbelquda7969sX79ehw5cgQ+Pj7VLuepE0RERI3IL7/8InR1dQUA0b59exEUFCTWrl0r/vrrL435HRwcBIBKX2lpaSrLpaamCm1tbbFgwQIpbcWKFQKAxrIAiEGDBom0tDSRlpYmLl68KL788kuhq6srzM3Nxd27dyvcrsDAQKGvry8yMzNV0seMGSN0dHRUls/NzVVb/s6dO8La2lq8/PLLKunjx48Xj18u9O3bVzg4OKit49q1awKAyjZHRUUJAGL9+vUqeYuLi4VcLhetW7cWCoWiwm3btGmTACCio6PVPjt06JAAIEJCQtTSWrRoIbKysqT03377TQAQMplM7NixQ2U93bt3F82bN1fbTgBi5syZKunKbXrrrbekNIVCIfLz89Xq9+233woAYuvWrVLasWPHBADRr18/UVBQoJJfoVBI+0PTtlXm9ddfFwDEjz/+qJI+Z84cAUB8++23UtqCBQsEADF06FCVY5CcnCwAiHnz5lVaXkhIiAAgXFxcRGFhoZQeHR0tAAgdHR1x/PhxKb2wsFA0b95c9OrVS0rLzMwUxsbGom3btiI7O1tKz87OFi+88IIwMTER9+/fF0IIcf/+fWFkZCQ6d+4s8vLypLw3btwQxsbGAoA4dOiQlD5jxgxhYGAgzpw5o1LvlJQUYWpqKsaPHy+lVWd/V2c/a/oOKQFQqYOm79Djn2lpaYmTJ09K6QqFQgwfPlwAEL/++quUXp3vaVW2/fDhwwKA+OKLL8rNU5fYnYyIiBqV3r174+TJkxg/fjyys7MREhKCqVOnwtHREZ6enhq7mLRu3RpxcXEaX4MGDdJYTmhoKBQKBcaNGyeljR49Grq6uti0aZPGZfbt24emTZuiadOm6NChA2bNmgVHR0fs27dP413mssaPH4/CwkKV7mq5ubnYuXMnfHx8VJY3NjZWyZORkQFtbW307NkTx44dq7Cc6oqIiICpqSmGDx+O9PR06ZWVlQU/Pz+kpKRIrU3lSUtLAwBYWVlVq+w33ngD5ubm0vuuXbvCzMwMLVq0UGuFc3d3x507dzR2lZk3b57K+4CAAHTs2FFlkgGZTAZDQ0MAj1rusrKykJ6ejv79+wOAyn7dvHkzAGDJkiVq43mUXXlqQqFQYPfu3XBxcVEbO/T+++9DS0sLO3fuVFtu5syZKmW6urrCxMSk0uNS1pQpU1RampR383v27IkePXpI6Xp6enBzc1NZd1xcHPLy8jBjxgyYmZlJ6WZmZpgxYwZyc3Oxf/9+AI++I/n5+Zg2bRqMjIykvPb29hg9erRKnYQQ2Lx5Mzw9PWFnZ6dy/hkbG6NXr17Yt29flbdRqab7+Wnx9vZG9+7dpfcymQzvvfceANRqudbW1gCAe/fu1VoZ1cHuZERE1Og4OztLYyj+/vtvJCQk4Ntvv8Xhw4cxbNgwta4/xsbGGDhwoMZ1RUREqKUJIbBp0yZ07doVCoVCZTxLnz59EB4ejiVLlqh1N+nZsycWL14MANDX14eDgwNatWpVpW1SBiphYWGYPHkygEdjLvLy8lQCKQC4cuUKPvzwQ/z888/IyspS+expPxPm3LlzyMnJqbAb1N27d9GhQ4dyP1fWSVRzetcXXnhBLc3S0hItW7bUmA4AGRkZKt13LCwsNI6T6ty5M3bt2oW8vDwpKNy2bRuWLVuG06dPq42vuX//vvT/S5cuQSaTlTsuq6bS0tKQm5uLLl26qH1mZWUFW1tbjUG6pv1kbW1d7lgeTR5fh3J/Ksd4PP5Z2XVfu3YNADTWW5mmrLfy306dOqnldXR0VHmflpaGjIwM6eaAJlpa1b+fX9P9/LR07txZLU257bVZrvL796w8N4pBDBERNWoODg4YN24cxo4dCw8PDxw9ehTJyclwd3ev8ToTEhJw5coVAED79u015tmzZw+GDx+uktakSZNyg6XK6Ojo4PXXX8eKFStw+fJltGvXDmFhYbC0tFQZc5KbmwtPT0/k5eXhnXfegbOzM0xNTaGlpYUlS5bg4MGDlZZV3kXM4wOLgUcXPk2bNsWWLVvKXV9Fz+EBIF2AVvd5Odra2tVKB6ofKClFRUXh1VdfhZubG1auXImWLVvCwMAApaWl8PHxgUKhUMn/JC0uT1t5+6M6+6Im+7q2Kes/cOBAzJ07t97qUZ3vy7NcrvL7V15AWNcYxBAREeHRH/yePXvi6NGjSE1NfaJ1bdq0Cfr6+ggLC9N4p/ett97Cxo0b1YKYJzV+/HisWLECYWFhCA4ORnx8PCZNmgR9fX0pz4EDB3Dr1i1s2rQJQUFBKss/Pqi9PFZWVjh58qRauqa7wO3bt8fFixfRq1cvtQHKVaUMcqrTvelpycrKwp07d9RaY86dO4dmzZpJrTDh4eEwMDDAoUOHVLo5nT9/Xm2dHTp0wN69e/Hbb79VOFlBdYOcpk2bwtTUFH/++afaZ/fv38ft27efyefNKFtx/vzzTwwYMEDls7/++kslj/Lf8+fPl5tXqWnTprCwsMCDBw9qfHNAk+ruZ2U3yMzMTJUukZq+L1U55ufOnVNLe3w/Kcut6ve0KuUqW5Qru+lQVzgmhoiIGpW4uDiNdyILCgqk/vGPd0upjuzsbERGRmLQoEF45ZVXEBgYqPby9/fH3r17cfv27RqXo0m3bt3QtWtXREREIDw8HAqFAuPHj1fJo7wz/vhd9n379lV5PEyHDh2Qk5OD5ORkKU2hUGD58uVqeceNGweFQoH3339f47ru3r1baXkuLi4wMzOTpuyta0uXLlV5v3PnTly4cEElCNXW1oZMJlNpcRFCSN0Dy3r99dcBAB988AGKiorUPlceG2XQV9UWKC0tLfj5+eH06dP46aef1LZBoVAgICCgSuuqS97e3jA2NsaqVauQk5Mjpefk5GDVqlUwMTGBt7e3lNfQ0BBr1qxRmcr45s2baq19WlpaGD16NJKTkxEZGamx7JqM76juflZ2lVSO61FatmyZ2rqrcszj4uJw6tQp6b0QAp9//jkAqJyT1fmeVqXcpKQk6OjooE+fPuXmqUtsiSEiokbl3XffRUZGBvz9/eHs7AwjIyPcuHEDW7ZswcWLFzFu3Dg4OzvXeP3ff/89CgoKMGLEiHLzjBgxAqGhofjuu+/UBo0/qfHjx2P27Nn47LPP0KFDB/Tq1Uvlc3d3dzRv3hyzZ89GSkoK7O3tcebMGYSHh8PZ2Rlnz56ttIxJkyZh2bJlCAgIwMyZM6Gnp4fIyEiNwaFyWuXVq1fj1KlT8PX1RZMmTXDz5k38+uuvuHz5cqX9+LW1tfGvf/0Lu3btQmFhoUrLUm1r0qQJoqKicOvWLXh5eUlTLNvY2Kg8DycwMBA7duxA//79MW7cOBQXF2PXrl1qzwwBADc3N8ydOxefffYZunfvjldffRXNmzfHtWvXEBkZieTkZFhYWMDR0RGmpqZYu3YtjIyMYGFhgWbNmkmTBWjyn//8B3FxcRg+fDimTp2Kdu3aITExEVu3boWnp6daUPsssLCwwOeff45p06ahZ8+e0nNTQkNDcfnyZaxfv16aoMHS0hKffPIJ5syZg5deegnjxo1Dfn4+1q1bh/bt2+P06dMq6/70009x9OhRvPLKK3jllVfQq1cv6Onp4e+//0ZsbCzkcrnKM4aqqjr7+bXXXsMHH3yASZMm4fz587CyssJPP/2kcdp2a2trtGvXDj/88APatm0LGxsbGBsbw8/PT8rz4osvon///pg2bRpsbW0RHR2N/fv3Y+zYsejdu7eUrzrf08rONSEEfvrpJ/j4+NS4RfWpq5c50YiIiOrJzz//LKZOnSq6du0qrK2thba2trCyshJeXl5i48aNorS0VCW/g4OD6NKlS7nrU06fqpxiuUePHkJHR0dtquOyHj58KExNTUWHDh2kNPxvqtsndefOHaGjoyMAiMWLF2vM89tvv4nBgwcLCwsLYWJiIvr27SsSExM1TgVb3vSwP/74o3jxxReFnp6esLW1Fe+99544f/58udPDhoWFCXd3d2Fqair09fWFg4ODCAgIED/88EOVtks5LXFkZKRKekVTLGuaLtbBwUH07dtXLV053fC1a9ekNOUUtVeuXBH+/v7C1NRUmJiYCH9/f3Hp0iW1dXzzzTeic+fOQl9fXzRv3lwEBweLjIwMtWl0lbZs2SJeeuklYWJiIoyMjETHjh3FzJkzVaYq/vHHH4WLi4vQ19cXADTW/XFXr14VY8aMEU2bNhW6urqiTZs24v3331eZkri8ba5sPz1OOcVy2WmNlcrb7vLOqaioKNG7d29hZGQkjIyMRO/evcXOnTs1lrtu3TrRoUMHoaenJ9q2bSuWL18uTcX9eF3y8vLExx9/LJycnISBgYEwMTERnTp1EhMnThRJSUlSvupOaV3V/SyEEElJSeKll14S+vr6wtraWgQHB4v79+9r3EfHjh0TL730kjAyMhIApGmSy06NvGXLFuHs7Cz09PSEvb29+L//+z9RVFSkVm51vqcVnWvx8fECgNizZ0+V9k1dkAlRwxFsRERERHXIx8cHeXl5OHz4cJ2U5+XlhZSUFKSkpNRJeUQVSUlJQZs2bbBgwQKVVsC6EBAQgBs3buD48ePPzIQUHBNDREREDcKyZcvw66+/1ujZHkRUM6dPn0Z0dDSWLVv2zAQwAMfEEBERUQPRpUuXWp+WlohUubi4qE0R/ixgSwwRERERETUoHBNDREREREQNCltiiIiIiIioQWEQQ0REREREDQqDGCIiIiIialAYxBARERERUYPCIIaIiIiIiBoUBjFERERERNSgMIghIiIiIqIGhUEMERERERE1KAxiiIiIiIioQfl/+iALvIMdSxsAAAAASUVORK5CYII=\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "shap.summary_plot(shap_values[:,:], X_train_sample)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 800x950 with 1 Axes>",
      "image/png": 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VERERERERi6TAKiIiIiIiIhZJgVVEREREREQskgKriIiIiIiIWCQFVhEREREREbFICqwiIiIiIiJikRRYRURERERExCIpsIqIPCKDBw/G39+/pMuQB0hKSsLX15eIiIj7LhMREZGSp8AqIv+z0tLSiIiIICEhocRqiIuLY/ny5Y/1GElJSURERHDkyJHHepytW7cq0BXgSdxjERGRp5UCq4j8z0pLSyMyMpLExMQSqyEuLo4vvvjisR4jKSmJyMhIjh49+liPs3XrViIjIx/rMUqKm5sbu3btYtCgQUXe9kncYxERkaeVAquIlLgbN26UdAlyH0/D/TEYDNjZ2VGqVKmSLkVERETuYsjLy8sr6SJE5MmIi4tj8uTJzJkzh19//ZXo6GguXbqEm5sbAwcOpHv37ibt9+zZw+LFi/nvf//L7du38fDwICgoiKCgIJN2u3fvJjY2lsOHD3P58mVsbGxo0KABAwcO5LnnnjNpO3jwYC5cuMCcOXOYOXMmCQkJXL9+3Ths9/Lly0RGRrJz506uXLmCk5MTrVq1YtiwYVSoUMG4n9TUVD7//HO2b99OcnIyZcqUwc3NjY4dO9K/f38SEhIYOnSo2TVwc3MjLi6u0Nfsu+++Y/369Rw9epSrV69ib2+Pj48PQ4cOpU6dOgWeW/7+/f39uXDhgtk+586di6+vb6GOf/HiRSIiIoiPj+fKlSuULVuW6tWr06tXL7p37268p3/UpEkT5s2bR25uLlFRUezevZszZ86QmpqKi4sLLVu2ZNiwYTg5ORm3SUpKIiAggNDQULy8vFi8eDEnT56kQ4cOJCUlsW/fPrPjTJw4sdDP7T7onuVbu3YtK1eu5MyZM2RnZ+Pi4kLDhg154403cHZ2LtSx8h04cICZM2dy5MgRHBwcaNeuHYGBgfTt25fQ0FCGDBlidu75ywpTy6O4x4Zp2UU6J/nfkDdGH46IiBSGfluKPIXCw8O5desWvXr1wtbWlujoaCZNmoS7uzs+Pj4AxMTEMHXqVBo2bMjAgQMpU6YMe/bs4V//+hfnz5/nH//4h3F/cXFxpKam0rVrV1xdXbl06RKxsbEMHz6cuXPn0rhxY5PjZ2RkMGTIEBo1asTw4cO5evUqcCechYSEkJWVxYsvvoi7uztnz55l9erVJCQksGTJEsqWLQvAuHHj2LdvH4GBgdSpU4dbt25x8uRJEhMT6d+/P15eXowePZpPPvmEtm3b0rZtWwDs7e2LdK1WrlxJ+fLl6dmzJxUrVuTcuXN89dVXDBo0iKVLl+Lh4XHPbd944w1mzZpFSkoKo0ePNi738vIq1LGzs7MJCwsjOTmZoKAgPDw8SE9P5/jx4+zfv5/u3bvTuHFjQkJCiIqKomfPnsZrnR/us7KyWLJkCS+88AJt2rShdOnSHD58mNjYWA4cOMDSpUuxsbExOe62bdtYsWIFgYGBBAYG4uDgQLly5cjLy2P//v28//77xraNGjUq9LV80D0D+Oabb5g0aRKNGzdm6NCh2NnZ8fvvv7Nr1y6uXr1apMB66NAhhg8fjr29Pf3798fR0ZHvvvuOiRMnFmr7wtTysPdYRERE7k+BVeQpdPv2bRYvXmwMKu3atePFF19k5cqV+Pj4cPnyZaZNm0bHjh358MMPjdv17t2badOmsWzZMgIDA3F3dwfg3XffpUyZMibHCAwMpE+fPkRFRZkF1tTUVAIDAxk+fLjJ8o8++ojs7GyWLVuGq6urcXn79u0JCQlh2bJlDBkyhPT0dOLj4wkKCmLs2LEFnqOLiwt+fn588skn1K5dm65duxbrWn322Wdm59atWzf69evH8uXLGTdu3D239fPzY/ny5dy6datYxz958iSnT59m5MiRDBgwoMA27u7uNGvWjKioKBo1amR2HFtbWzZs2EDp0qVNljdq1IgpU6awdetWOnToYLLut99+48svvzQLXRs2bGD//v3FOpfC3DO485ysg4MDc+bMMRmeW1Bv+YN88skn5ObmMn/+fDw9PYE7P8OFfU61MLU87D0WERGR+9MzrCJPod69e5v0qlWuXBkPDw/Onj0LwPfff8/t27d58cUXSUlJMfmvVatW5ObmsnfvXuP2dwe6jIwMUlJSsLa2xtvbm//+978F1vDqq6+afJ+ens7OnTtp3bo1dnZ2JsesWrUq7u7u7NmzBwA7OztsbW05dOgQSUlJj+y6FCT/3PLy8khPTyclJQVnZ2c8PT05dOjQYz12fm9yYmKisRe6qAwGgzGs5uTkkJaWRkpKCk2bNgUo8Bxatmz5yHsIC3vPypYtS2ZmJjt37uRhnli5evUqP/30E23atDGGVQAbGxv69etXqH08qlpERESk+NTDKvIUqlatmtmy8uXLc/HiRQBOnToFYNYDere7A9S5c+cIDw9n9+7dpKWlmbQzGAxm2zo7O+Po6Giy7NSpU+Tm5hIbG0tsbOx967axsWH06NF8/PHHBAQEULNmTXx9ffHz8+P555+/Z83F8euvvzJ37lwSExO5efNmgfU8LvnPFi9cuJDOnTtTt25dmjZtSvv27WnQoEGh97Nx40aWLl3KkSNHyM42fV7y+vXrZu3vN8y5uAp7z0JCQti3bx9jxoyhfPnyNGnShBYtWtChQwccHBwKfbzz588DUKNGDbN1NWvWLNQ+HlUtIiIiUnwKrCJPISurggdX5Pci5f9/8uTJVKxYscC2+WEtIyOD0NBQbt68ycsvv0zt2rVxcHDAYDCwcOFC4uPjzbb94/DUu3Xp0sVs8qd8dnZ2xq+DgoLw8/Nj586dJCYmsmnTJlauXEmHDh2YOnXqPfdfFBcvXmTw4ME4ODgwaNAgatSoQenSpTEYDHz88cdmAfZxGD58OAEBAezcuZMDBw4QGxvLkiVL6N+/P6NGjXrg9ps3b2b8+PE0aNCAMWPG4Orqiq2tLbm5uYwcObLAnsP73Z+HUZh75uHhwapVq9i7dy/x8fHs27ePKVOmEBERQWRkpHEY+pNgSbWIiIg8rRRYRcRM9erVAXBycqJZs2b3bbt3716Sk5OZMGECAQEBJuvmzJlT6GO6u7tjMBjIzs5+4DHzVaxYkR49etCjRw9ycnKYMGEC3377LcHBwTRo0KDA3t2i2LJlCxkZGXzyySdmM76mpqZia2v7wH08bA1w59r07duXvn37cuvWLUaOHMnixYsJDg6mQoUK9z3GunXrsLOzIyIiwiSI5veiF8WjOJcH3TO489xty5YtadmyJQA7d+7k9ddfZ9myZbz11luFOk7VqlWBgs/zxIkTha63MLU8iusiIiIiBdMzrCJipkOHDtja2hIREUFmZqbZ+vT0dG7fvg2AtbU1gFlP3e7du4v0jKeTkxMtWrRg8+bN/Pzzz2br8/LyuHbtGgCZmZlmdVlbWxtfM5M/zDX/+dOChr0WRn5P9B/P7auvvuLKlSuF2oe9vT3Xr18v1jOQ6enpZkN47ezsjMNc888rf+bj1NRUs33kn0Nubq5xWV5eHvPnzy9yPfnXs6DjPEhh71lKSorZtvXr1y/ycfNfP7Nt2zZOnz5tXJ6VlcXy5csLtY/C1vIw91hERETuTz2sImLG1dWVcePGMWXKFHr37k3Xrl1xc3Pj2rVrHD9+nK1bt7Jq1SqqVq2Kj48PLi4ufPrpp1y4cIHKlStz9OhR1q1bR+3atTl+/Hihjztu3Dhee+01QkND6datG/Xq1SM3N5fz58+zfft2unbtypAhQzh9+jSDBw+mbdu21KpVC0dHR06dOkV0dDTVqlUzzkrs5ORE9erV+e6773B3d6dChQqUKVOG1q1bF6qeFi1a8NlnnzFhwgT69OmDo6MjBw8e5IcffsDd3Z2cnJwH7sPb25sdO3bw0Ucf0ahRI6ysrGjatKnJO2XvJSEhgQ8//JAXXngBT09P7O3t+eWXX4iNjcXb29sYXL28vHBwcCA6OprSpUvj6OhIhQoVaNq0Ke3atWPz5s0MHTqUbt26kZ2dzbZt2wr8IOJBGjZsyMqVK/nXv/5Fy5YtKVWqFN7e3oV6lrew9ywsLAxHR0caN26Mq6sraWlpxMXFYTAYijwL7z//+U+GDBnCoEGD6N27t/G1NoW5b0Wp5WHusYiIiNyfAquIFCggIAAPDw+WLl1KTEwMaWlpODk54enpybBhw3BxcQHA0dGRWbNmMXPmTFasWEFOTg7169dnxowZxMbGFimwVqlShaVLl7Jo0SK2bdvG+vXrsbW1xdXVlVatWhlfv+Lq6kpAQACJiYls3bqVrKwsKlWqRM+ePRkwYIDJ0NcPPviATz75hPDwcDIzM3Fzcyt0YHV3d2fmzJmEh4cTFRWFlZUVf/nLX4iIiOCjjz7iwoULD9zHK6+8wvnz59m0aROrV68mNzeXuXPnFirM1KlTh7Zt25KYmMiGDRvIycmhSpUqhISEEBwcbGxXunRpPvzwQ+bMmcMnn3zC7du3adKkCU2bNqVTp05kZGSwfPlyZsyYgaOjI61bt2bEiBG0a9euUNchX6dOnThy5AjfffcdmzZtIjc3l4kTJxYqsBb2ngUFBbFx40ZiYmJITU2lfPny1KtXj7Fjx5oNy36QRo0aER4ezqxZs1i0aBFly5alXbt2BAYG0rdv3wduX9haHuYei4iIyP0Z8jSGSUREpMQYpmU/uJH8z8kboz4DEZHC0DOsIiIiIiIiYpH08Z6IPHWuXbv2wOcY7e3tjZMZPWoZGRlkZGTct421tTXOzs6P5fiPUmZmJunp6Q9sd6/XIxXV/9K1ExERkQdTYBWRp07//v0f+PxpaGgoQ4YMeSzHX7JkCZGRkfdt4+bmRlxc3GM5/qO0ceNGJk+e/MB2CQkJj+R4/0vXTkRERB5Mz7CKyFPnwIED3Lp1675tqlWrhru7+2M5/rlz5zh//vx929jZ2eHj4/NYjv8oXb58md9+++2B7Qr7bt0H+V+6dvn0DOvTSc+wiogUjgKriIhICVJgfTopsIqIFI4mXRIRERERERGLpMAqIiIiIiIiFknjUUREREpQRLkFhISEYGNjU9KliIiIWBz1sIqIiIiIiIhFUmAVERERERERi6TAKiIiIiIiIhZJgVVEREREREQskgKriIiIiIiIWCQFVhEREREREbFICqwiIiIiIiJikRRYRURERERExCIpsIqIiIiIiIhFUmAVERERERERi6TAKiIiIiIiIhbJkJeXl1fSRYiIiDytDNOyS7oEuYe8MaVKugQRkaeeelhFRERERETEIimwioiIiIiIiEVSYBURERERERGLpMAqIiIiIiIiFkmBVURERERERCySAquIiIiIiIhYJAVWERERERERsUgKrCIi9zB48GD8/f0fW/sHSUhIwNfXl7i4uEe2TxEREZE/EwVWeaISEhKIiIggLS3NbN3PP//M2LFj6dGjB61bt6Z169b06dOHefPmkZ6eXgLV/rkkJSURERHBkSNHHutxtm7dSkRExGM9hiWLi4tj+fLlJV3GQ7vffXza77GIiIhYDgVWeaISExOJjIwsMLCePn2azMxMunTpwj/+8Q9GjRpFgwYNWLBgAYMGDSIzM7MEKv7zSEpKIjIykqNHjz7W42zdupXIyMjHegxLER4ezurVq02WxcXF8cUXX5RQRY/O/e7j03SPRURExLKVKukCxFROTg5ZWVmULl26pEt54rp370737t1NlgUFBeHl5cXMmTPZsWMHHTp0KKHqHq28vDxu3ryJvb19SZdSaDdu3MDBwaGky3iibGxsSrqE/znZ2dnk5ORgZ2dX0qUUWWZmJqVKlaJUKf3VKSIi8qTob90SFBcXx+TJkwkPD+fnn38mLi6Oixcv8u6779K9e3dWr17NmjVrOHnyJFZWVjz77LOEhobi6+trtq9NmzaxYsUKjh49SlZWFq6urjRv3pzXX3/d+I/umzdvMn/+fDZu3MilS5coV64czZo1Y9iwYbi5uZnVNXfuXLNjDR48mAsXLpg8U+fv74+bmxtvv/0206dPZ//+/RgMBpo1a8bYsWOpWLEiAJMmTWLt2rUABAQEGLcPDQ1lyJAh97xO+bVdv369qJe40LXlS09PZ8GCBWzevJnff/8dBwcHnn/+eYYPH467u7ux3Y0bN1i0aBF79uzh3LlzZGRk4OrqSrt27QgNDTX5wCEhIYGhQ4cyceJEbt68yapVqzh37hx///vf73ved7t48SIRERHEx8dz5coVypYtS/Xq1enVqxfdu3c33jOAyZMnG79u0qQJ8+bNIzc3l6ioKHbv3s2ZM2dITU3FxcWFli1bMmzYMJycnIzHSkpKIiAggNDQULy8vFi8eDEnT56kQ4cOJCUlsW/fPgCTn42JEycW+tnN1NRUPv/8c7Zv305ycjJlypTBzc2Njh070r9/f2O7tWvXsnLlSs6cOUN2djYuLi40bNiQN954A2dn50Ida+3atUyaNMnkZzk7O5u2bdty8+ZNli5dSv369YE79/SFF16gR48ejB8/HjD/eff39+fChQtm5//HPyvJyclMnz6dH3/8kdu3b9O4cWPefPNNPD09C1V3Qb788ktWrlzJxYsXqVKlCn369KFv375m7c6cOUNkZCR79+4lNTWVSpUq0b59ewYPHkyZMmWM53Wv+xgXF/fAe3z58mUiIyPZuXMnV65cwcnJiVatWjFs2DAqVKhg3CYiIoLIyEhWrFhBbGws33//PZcvX2b27NkF/h4ryMGDB5k/fz5HjhwhLS2N8uXLU6dOHUJDQ2nYsKGxXXp6OosWLWLLli0kJSVRpkwZatSoQZ8+fejUqZOx3bFjx4iIiGD//v3cvHmTatWq0b17d4KDg7G2tja2y/99tXHjRmbOnMmuXbu4du0asbGxVK1atdC/K0REROThKLBagBkzZpCdnU3Pnj1xcHDA09OTCRMm8O2339KuXTv8/f3Jyspi/fr1hIWF8dFHH9GmTRvj9uHh4URFRVGzZk369etHxYoVOXfuHJs3b2bo0KHY2NiQnZ3NiBEjOHjwIO3atSM4OJgzZ86wevVq9uzZw+LFi3F1dS32OSQnJzNkyBD8/PwYNWoUx44dIyYmhhs3bhAeHg5Ar169uHHjBlu2bGH06NHGkFSnTh2TfWVmZhr/++WXX/jss8+wsbGhWbNmj602uPMP3oEDB3Lx4kUCAgKoWbMmly9fJjo6mr///e8sWbLEGJ6Tk5OJjY3lhRdeoHPnzlhbW7Nv3z4WL17MkSNHmDVrllkdX3zxBampqfTo0QMXF5dCX+/s7GzCwsJITk4mKCgIDw8P0tPTOX78OPv376d79+40btyYkJAQoqKi6NmzJ40bNwYwhoesrCyWLFnCCy+8QJs2bShdujSHDx8mNjaWAwcOsHTpUrPexG3btrFixQoCAwMJDAzEwcGBcuXKkZeXx/79+3n//feNbRs1alTo+zFu3Dj27dtHYGAgderU4datW5w8eZLExERjYP3mm2+YNGkSjRs3ZujQodjZ2fH777+za9curl69WujAmh+K4uPjjV8fOnSImzdvYmVlRUJCgjGw7t+/n5ycHJo2bXrP/b3xxhvMmjWLlJQURo8ebVzu5eVl/PrmzZvGMBUWFsb58+f58ssveeONN1ixYoVJKCqsFStWcOXKFXr16oW9vT3ffvst06ZN4/r16wwePNjY7pdffmHo0KE4OjrSq1cvKleuzNGjR/nyyy85ePAg8+bNo1SpUgwcOPCe97FSpUr3vccXL14kJCSErKwsXnzxRdzd3Tl79iyrV68mISGBJUuWULZsWZP633vvPezs7HjllVcwGAxmHxTdy6lTpwgLC8PFxYW+fftSoUIFrl69yoEDBzh69KgxsKalpTFo0CBOnDhBu3btCAoKIicnhyNHjrBz505jYD18+DCDBw+mVKlS9O7dGxcXF3bs2MFnn33GsWPHmDJlilkN+ccfNGiQcVREUX5XiIiIyMNRYLUAmZmZLF++3Ngrt2XLFtavX8/bb79Nr169jO369u1LSEgIH3/8Ma1bt8ZgMHDo0CGioqLw9fVlxowZJsPsRo4cafw6Li6OgwcP8uqrr/KPf/zDuLxZs2a8/vrrzJo1iw8++KDY53D27FmmTp1qMmTXysqKVatWcerUKWrUqEGjRo2oXbs2W7Zswc/Pj6pVqxa4r7lz57J06VLj9zVr1mT69OnF7rUoTG35xz1//jxRUVHUrVvX2Nbf35++ffsSERHBpEmTAKhWrRrffPONydDAPn36MGfOHObPn8+hQ4fw9vY2qePixYtER0eb9EAVxsmTJzl9+jQjR45kwIABBbZxd3enWbNmREVF0ahRI7p27Wqy3tbWlg0bNpgNNW/UqBFTpkxh69atZsOtf/vtN7788kuTMAawYcMG9u/fb3aMwkhPTyc+Pp6goCDGjh17z3Zbt27FwcGBOXPmmFzjoUOHFul4VapUoXr16sTHxzNs2DDgTnh1cnLi2WefZe/evQQHBxuXGwyG+/b8+fn5sXz5cm7dunXP809JSeHVV181uVfOzs7MnDmTvXv30rx58yKdA9zpNV21apXxQ44+ffowaNAg5s+fz4svvmhc/v7771OxYkUWL15sMnz7+eef580332T9+vX4+/vz17/+9Z730d3d/b73+KOPPiI7O5tly5aZfOjSvn17QkJCWLZsmdnIgbJlyzJ79uwiD6XdvXs3mZmZfPjhh2Z/nu4WHh7OiRMnzH5nAuTm5hq/njZtGllZWURFRRk/KHvppZcYP348GzZsICAggOeff95k+1q1apn9bpw2bVqhf1eIiIjIw9GkSxYgKCjIJEisW7cOBwcH/Pz8SElJMf6Xnp5Oq1atSEpK4syZM8Cd8AAwYsQIs2fCDAYDBoMBuBOCraysCAkJMWnTsmVL6taty/bt203+YVdUlSpVMgs8+f/wP3v2bJH21atXL8LDw/nXv/7FK6+8gq2tLSkpKY+1try8PNavX0/jxo2pXLmyyXUvU6YM3t7e7N6927i9jY2N8R/f2dnZXL9+nZSUFOM/dg8dOmRWR7du3YocVgFjb1ViYiJXr14t8vZw52ch/2csJyeHtLQ0UlJSjL2JBdXbsmVLs7D6sOzs7LC1teXQoUMkJSXds13ZsmXJzMxk586d5OXlPdQxfX19OXz4MBkZGcD/9bY+//zzHDhwgOzsbODO0O3atWubDI8uDisrK7OhuvnXOf/PbVF17tzZJBza2NjQr18/cnJy2LFjBwDHjx/n2LFjdO7cmaysLJOfYR8fH8qUKWPyM1wc6enp7Ny5k9atW2NnZ2dyjKpVq+Lu7s6ePXvMtuvXr1+xnvvM/9nftm0bt27dKrBNbm4u3333HV5eXmZhFe7cD4CrV6/y008/0bp1a5NRHQaDgYEDBwJ3fk/+Uf4HGvmK+rtCREREHo56WC2Ah4eHyfenTp3ixo0bdOzY8Z7bXL16FU9PT86cOYPBYDAbVvtHSUlJVKpUiXLlypmtq1WrFkePHiUlJaVYgQru9Dj+Ufny5YE7zywWhYeHh/GatG/fnh9//NHYW9y5c+fHUtu1a9dITU1l9+7dtG/fvsD95P/DN9+qVatYvXo1J06cMAv7Bc2C/Mf7XFhubm4MHDiQhQsX0rlzZ+rWrUvTpk1p3749DRo0KPR+Nm7cyNKlSzly5IgxpOUr6Png4tZ7PzY2NowePZqPP/7YOJTS19cXPz8/k56tkJAQ9u3bx5gxYyhfvjxNmjShRYsWdOjQocgTPzVt2pSvvvqK/fv389xzz3Ho0CFGjx6Nt7c3n376KYcOHcLLy4tjx47x0ksvPfQ5VqpUyezDo+L+WchX0AcHNWvWBOD8+fPAnZ54uPPc6L1eSVPcDzzynTp1itzcXGJjY4mNjS2wTUF/3or7s9SxY0fWrVtHVFQUy5cvp2HDhvz1r3+lU6dOxiG3KSkpXL9+/YE91/kfkORft7t5eXlhZWVlvJZ3++Nzx8X5XSEiIiLFp8BqAf44TDMvLw9nZ+cCn6fKV6tWLePXd/ekPgr321dOTk6By+/3D7SH7SFr3rw5Li4uREdHFyuwFqa2/P8///zz9xx2e7elS5fy6aef8te//pW+fftSsWJFbGxsSE5OZtKkSQX2Vj/MzM/Dhw8nICCAnTt3cuDAAWJjY1myZAn9+/dn1KhRD9x+8+bNjB8/ngYNGjBmzBhcXV2xtbUlNzeXkSNHFniPHtdM1UFBQfj5+bFz504SExPZtGkTK1eupEOHDkydOhW4E3BWrVrF3r17iY+PZ9++fUyZMsU4iU9Rhof7+vpiMBhISEigVKlS3L59m6ZNm+Lh4UH58uWJj4/n6tWr5Obm3vf51cJ6nH8W7id/38HBwfcMbwV9YFUcXbp0MZvRO19Bs/8W92fJ1taW2bNnc+jQIXbv3s2+ffuMPwNTpkyhbdu2xdpvURT0+xkK/7tCREREHo4CqwWqXr06Z86coWHDhg987Ymnpyc//PADR48eve8zXtWqVePHH38kLS0NR0dHk3UnTpzAwcHBOBQy/x+1BfW6JSUlPdQrHYobrG/dulWsWYILy9nZGUdHR27cuFGoyZ3WrVtH1apVmTlzpklA+eGHHx5bje7u7vTt25e+ffty69YtRo4cyeLFiwkODqZChQr3vbbr1q3Dzs6OiIgIk3+Anzp1qsh1PIoPRypWrEiPHj3o0aMHOTk5xknGgoODjb3Gtra2tGzZkpYtWwKwc+dOXn/9dZYtW8Zbb71V6GNVqFCBmjVrsnfvXqytrXF1dTX2mj333HPEx8dz7do1rK2tadKkyQP39yg/HCqs/N7Tu504cQL4vx7N/F5MKyurQv0M3+887rXO3d0dg8FAdnZ2sSdBKw5vb2/j77eLFy/yyiuvMGfOHNq2bYuTkxPlypXj2LFj991H/jPz+dftbvk9xwX1Dv9RUX9XiIiIyMPRuCUL1K1bN3JzcwucaRbgypUrxq/zZ7+cPXs2WVlZZm3zewP8/PzIzc1l4cKFJut37drFkSNHaN26tTF45f/Dd+/evSZtN2zYQHJycvFO6v/JD+AFhc/Lly8XuM3atWtJT0+/byB/WFZWVnTu3Jn//ve/fP/99wW2uXs4pbW1NQaDwaTHLDs72+z6Pgrp6elmQ3jt7OyMk0XlX8v8a1vQsNP8e3t3z29eXh7z588vcj35r0YpzvDW/Nmf72ZtbW0c0p5/LgU9s5w/m29xjtu0aVOOHTvGli1bTCZVatq0KT///DM//PAD9evXN5vdtiD29vZcv379sfaW/tGGDRv4/fffjd9nZWWxfPlyrK2tjYG+Xr161KpVi9WrV3Pu3DmzfWRnZ5tcu/vdx3utc3JyokWLFmzevJmff/7ZbLu8vDyuXbtWjDMsWEE/B66urjg7Oxtrs7KyolOnTpw4cYI1a9YUWBPc+eCiUaNGbN++nePHj5usj4qKAihUj21Rf1eIiIjIw1EPqwVq3749/v7+rFy5kl9//ZVWrVrh5OTEpUuX+Omnnzh37pzx+TFvb28GDBjAokWLeOWVV+jYsSMuLi4kJSWxadMmFi1ahKOjI/7+/qxdu5ZFixaRlJREkyZNOHv2LNHR0bi4uBAWFmY8fo0aNXj++eeJiYkhLy+PunXrcvToUbZu3Ur16tXNwlNR5IfOmTNn0qVLF2xtbalVqxa1a9fmH//4B+XLl6dRo0ZUqVKF9PR0Dhw4wLZt23B1dTV5fcfjEBYWxsGDBxk/fjybNm2iYcOG2NjYcOHCBXbt2sUzzzxjnPmzXbt2zJo1i1GjRtG2bVtu3LjBt99++1C9z/eSkJDAhx9+yAsvvICnpyf29vb88ssvxMbG4u3tbQyuXl5eODg4EB0dTenSpXF0dKRChQo0bdqUdu3aGV9z1K1bN7Kzs9m2bZtZeCyMhg0bsnLlSv71r3/RsmVLSpUqhbe3d6F6p06fPs3gwYNp27YttWrVwtHRkVOnThEdHU21atWMr+MJCwvD0dGRxo0b4+rqSlpaGnFxcRgMhmLNTuzr68uXX37J6dOnTSYea9q0KVlZWZw7d+6ezyP+kbe3Nzt27OCjjz6iUaNGWFlZ0bRp02I//10YHh4e/P3vfycwMBB7e3s2bNjA4cOHee2116hSpQpwp1f0/fffZ9iwYbz88svGZ4QzMzONr7kaMWKE8V2q97uP91s3btw4XnvtNUJDQ+nWrRv16tUjNzeX8+fPs337drp27Vro9ws/yPz589m9ezctW7akWrVq5OXlsWPHDk6dOmXyzt5hw4YRHx/PlClT2LNnD3/5y18AjM9r58/yO2bMGAYPHkxoaKjxtTY7d+7kxx9/pHPnzmYzBN9LUX5XiIiIyMNRYLVQEydOxNfXl6+++oqFCxeSlZWFi4sL9evXNwmXcOf1NXXq1GHlypUsXryY3NxcXF1dadGihXH4Z6lSpZg1axbz589n48aNbNmyBUdHR9q1a8fw4cON/+jN9/777/Of//yHDRs2sG7dOho3bszcuXOZOnUqFy5cKPZ5+fj4MHLkSGJiYpgyZQo5OTmEhoZSu3ZtevbsyebNm1mzZg0pKSmUKlUKd3d3BgwYQHBw8EPP3vogZcuWZcGCBSxdupSNGzeyfft2rK2tqVy5Mj4+PvTo0cPY9tVXXyUvL4/Y2Fg+/vhjXFxc6NChAwEBAfTu3fuR1lWnTh3atm1LYmIiGzZsICcnhypVqhASEmIyg2np0qX58MMPmTNnDp988gm3b9+mSZMmNG3alE6dOpGRkcHy5cuZMWMGjo6OtG7dmhEjRtCuXbsi1dOpUyeOHDnCd999x6ZNm8jNzWXixImFCqyurq4EBASQmJjI1q1bycrKolKlSvTs2ZMBAwYYf16DgoLYuHEjMTExpKamUr58eerVq8fYsWPv+9qZe3nuueewtrYmJyfHZPsaNWpQqVIlkpOTC73fV155hfPnz7Np0yZWr15Nbm4uc+fOfayB9aWXXuLGjRusWLGCixcvUqVKFd544w1efvllk3b16tVj2bJlREVFsX37dlavXo2DgwNubm74+/ubPKN7v/t4v3VVqlRh6dKlLFq0iG3btrF+/XpsbW1xdXWlVatWZjNyP4w2bdpw+fJlvv/+e65evYqdnR3Vq1fn3Xff5cUXXzS2K1euHFFRUSxYsIAtW7awZcsWHBwc8PLyMplI69lnn2XBggVEREQQHR3NzZs3qVatGiNHjjSbDfh+ivK7QkRERB6OIe9JjmsTERERE4ZpxR+1Io9X3hh9ri8iUtL0DKuIiIiIiIhYJH10KH86qampBU4wdbfSpUsXagKdkpSRkUFGRsZ921hbW+Ps7PyEKiq+zMxM0tPTH9iuYsWKj+R4f+Zrl5OTU6iJicqXL4+Njc0TqOjJ+1/5MywiIiKPnwKr/Om8+eab7Nu3775tunfvbvGTnixZsoTIyMj7tnFzcyMuLu4JVVR8GzduZPLkyQ9sl5CQ8EiO92e+dr///jsBAQEPbDd37txiPa/7Z/C/8mdYREREHj89wyp/Or/88ssD38laqVIlatas+YQqKp5z585x/vz5+7axs7PDx8fnyRT0EC5fvsxvv/32wHaP6r2Vf+Zrd+vWLQ4cOPDAds8884zxncj/a/5X/gw/KnqG1XLpGVYRkZKnwCoiIlKCFFgtlwKriEjJ06RLIiIiIiIiYpH00aGIiEgJiii3gJCQkP/ZSbZEREQehnpYRURERERExCIpsIqIiIiIiIhFUmAVERERERERi6TAKiIiIiIiIhZJgVVEREREREQskgKriIiIiIiIWCQFVhEREREREbFICqwiIiIiIiJikRRYRURERERExCIpsIqIiIiIiIhFUmAVERERERERi6TAKiIiIiIiIhbJkJeXl1fSRYiIiDytDNOyS7qEP528MaVKugQREXlC1MMqIiIiIiIiFkmBVURERERERCySAquIiIiIiIhYJAVWERERERERsUgKrCIiIiIiImKRFFhFRERERETEIimwiog8IYMHD8bf37+ky3hokyZNwtfXt6TLKLaEhAR8fX2Ji4u77zIREREpeQqsIvLUSktLIyIigoSEhBKrIS4ujuXLl5fY8eXhLV++XEFXRETkMdGbt0XkqZWWlkZkZCRAifUYxsXFceHCBfr161cix5c7mjRpwq5duyhVquh/LX7xxRe4ubn9T/Sei4iIWBr1sIqIxbtx40ZJlyD/46ysrLCzs8Pa2rqkSxEREZG7qIdVRIzi4uKYPHkyc+bM4ddffyU6OppLly7h5ubGwIED6d69u0n7PXv2sHjxYv773/9y+/ZtPDw8CAoKIigoyKTd7t27iY2N5fDhw1y+fBkbGxsaNGjAwIEDee6550zaDh48mAsXLjBnzhxmzpxJQkIC169fNw7bvXz5MpGRkezcuZMrV67g5OREq1atGDZsGBUqVDDuJzU1lc8//5zt27eTnJxMmTJlcHNzo2PHjvTv35+EhASGDh0KQGRkpLGn1c3NrUjDO7/77jvWr1/P0aNHuXr1Kvb29vj4+DB06FDq1Klz3239/f25cOECYNrDO3fu3CL1+Bb2mkRERBAZGUl0dDTffPMN33zzDdeuXaNGjRqEhYXRsmVLk/3eunWLuXPnsn79etLS0qhVqxbDhw8vdF1/dPHiRSIiIoiPj+fKlSuULVuW6tWr06tXL+PPVm5uLl9++SVff/01SUlJGAwGXFxc8PHx4e233y5yD+jWrVuZN28ep06dwtnZme7du9O4cWOzdvk/DxMnTjT2lBamlvz7dOHCBZN79vXXX1O1atXiXioRERH5fxRYRcRMeHg4t27dolevXtja2hIdHc2kSZNwd3fHx8cHgJiYGKZOnUrDhg0ZOHAgZcqUYc+ePfzrX//i/Pnz/OMf/zDuLy4ujtTUVLp27YqrqyuXLl0iNjaW4cOHM3fuXLMAkZGRwZAhQ2jUqBHDhw/n6tWrwJ3AExISQlZWFi+++CLu7u6cPXuW1atXk5CQwJIlSyhbtiwA48aNY9++fQQGBlKnTh1u3brFyZMnSUxMpH///nh5eTF69Gg++eQT2rZtS9u2bQGwt7cv0rVauXIl5cuXp2fPnlSsWJFz587x1VdfMWjQIJYuXYqHh8c9t33jjTeYNWsWKSkpjB492rjcy8ur0McvyjXJN2nSJEqVKkVwcDBZWVl88cUXjBkzhpiYGJOQ9c4777B161ZatWpF8+bNOXfuHG+++Waxglh2djZhYWEkJycTFBSEh4cH6enpHD9+nP379xsD64IFC5g7dy6tWrUiMDAQKysrkpKS2L59O7dv3y5SYN2yZQtjx46latWqvPbaa1hbWxMXF8fOnTsLtX1hann//ff55JNPcHJyYuDAgcZtnZ2di3aBREREpEAKrCJi5vbt2yxevBgbGxsA2rVrx4svvsjKlSvx8fHh8uXLTJs2jY4dO/Lhhx8at+vduzfTpk1j2bJlBAYG4u7uDsC7775LmTJlTI4RGBhInz59iIqKMgusqampBAYGmvXmffTRR2RnZ7Ns2TJcXV2Ny9u3b09ISAjLli1jyJAhpKenEx8fT1BQEGPHji3wHF1cXPDz8+OTTz6hdu3adO3atVjX6rPPPjM7t27dutGvXz+WL1/OuHHj7rmtn58fy5cv59atW8U+fmGvyd2cnJyYPn06BoMBuNO7O2DAAGJiYhgxYgRwp1d869atdO/enUmTJhm3bdKkCWPGjClynSdPnuT06dOMHDmSAQMG3LPdli1b8PLyYvr06SbLR44cWaTj5eTkMG3aNMqVK8eiRYtwcnIC7vzc9e3bt1D7KEwtXbt2Zc6cOVSoUKHY91BERETuTc+wioiZ3r17G8MqQOXKlfHw8ODs2bMAfP/999y+fZsXX3yRlJQUk/9atWpFbm4ue/fuNW5/d6DLyMggJSUFa2trvL29+e9//1tgDa+++qrJ9+np6ezcuZPWrVtjZ2dncsyqVavi7u7Onj17ALCzs8PW1pZDhw6RlJT0yK5LQfLPLS8vj/T0dFJSUnB2dsbT05NDhw491mMX5ZrcrW/fvsawCtCgQQPs7e05c+aMcdnWrVsB8/vg5+eHp6dnkWvN7+VNTEw09pjfq92lS5c4cOBAkY9xt19++YXff/+dgIAAY1jN339gYGCh9vGoahEREZHiUw+riJipVq2a2bLy5ctz8eJFAE6dOgVw3+cZ7w4l586dIzw8nN27d5OWlmbS7u7glM/Z2RlHR0eTZadOnSI3N5fY2FhiY2PvW7eNjQ2jR4/m448/JiAggJo1a+Lr64ufnx/PP//8PWsujl9//ZW5c+eSmJjIzZs3C6zncSnKNblbfs/33cqXL09qaqrx+/Pnz2NlZVVgOPXy8uL06dNFqjX/OeiFCxfSuXNn6tatS9OmTWnfvj0NGjQwtgsLC2PMmDG89tprVKpUieeee46WLVvSrl07kw9RHuT8+fMA96y/MB5VLSIiIlJ8CqwiYsbKquDBF3l5eSb/nzx5MhUrViywbX5QysjIIDQ0lJs3b/Lyyy9Tu3ZtHBwcMBgMLFy4kPj4eLNtS5cufc/aunTpYjb5Uz47Ozvj10FBQfj5+bFz504SExPZtGkTK1eupEOHDkydOvWe+y+KixcvMnjwYBwcHBg0aBA1atSgdOnSGAwGPv74Y7MA+7gU9prke9D9fVyGDx9OQEAAO3fu5MCBA8TGxrJkyRL69+/PqFGjAGjUqBFr1qzhxx9/JCEhgcTERDZs2MD8+fP5/PPPKV++/GOt8W6WVIuIiMjTSoFVRIqsevXqwJ1nIZs1a3bftnv37iU5OZkJEyYQEBBgsm7OnDmFPqa7uzsGg4Hs7OwHHjNfxYoV6dGjBz169CAnJ4cJEybw7bffEhwcTIMGDQrs3S2KLVu2kJGRwSeffGI2q29qaiq2trYP3MfD1FCca1JY1apVIzc3l9OnT1OrVi2TdSdPniz2ft3d3enbty99+/bl1q1bjBw5ksWLFxMcHGyc0dje3p527drRrl07AFatWsW///1vYmNj6d+/f6HrBwrsCS5K/YWp5WF/jkREROTe9AyriBRZhw4dsLW1JSIigszMTLP16enp3L59G8D4Xss/9t7t3r27SM94Ojk50aJFCzZv3szPP/9stj4vL49r164BkJmZaVaXtbW18TUz169fB/7v+dP874sqv6fyj+f21VdfceXKlULtw97enuvXrxerd7Mo16So2rRpA8CSJUtMlm/durXIw4Hhzs9Edna2yTI7Oztq1KgB/N89SElJMdu2fv36Jm0K45lnnsHV1ZWvv/7aZJ/p6emsXr26UPsobC1lypQp9s+QiIiI3J96WEWkyFxdXRk3bhxTpkyhd+/edO3aFTc3N65du8bx48fZunUrq1atomrVqvj4+ODi4sKnn37KhQsXqFy5MkePHmXdunXUrl2b48ePF/q448aN47XXXiM0NJRu3bpRr149cnNzOX/+PNu3b6dr164MGTKE06dPM3jwYNq2bUutWrVwdHTk1KlTREdHU61aNeOsxE5OTlSvXp3vvvsOd3d3KlSoQJkyZWjdunWh6mnRogWfffYZEyZMoE+fPjg6OnLw4EF++OEH3N3dycnJeeA+vL292bFjBx999BGNGjXCysqKpk2bmrw/9VFck6Jq3rw5rVq1Yu3ataSmpvK3v/2Nc+fOERMTQ61atfjtt9+KtL+EhAQ+/PBDXnjhBTw9PbG3t+eXX34hNjYWb29vY3ANCgqiYcOGNGjQgEqVKnH58mW++uorbGxs6NixY6GPZ21tzT//+U/Gjx/PgAED6NGjB9bW1nz99dcmz2PfT2FradiwIbGxscyZMwcvLy8MBgOtW7c2mz1aREREik6BVUSKJSAgAA8PD5YuXUpMTAxpaWk4OTnh6enJsGHDcHFxAcDR0ZFZs2Yxc+ZMVqxYQU5ODvXr12fGjBnExsYWKbBWqVKFpUuXsmjRIrZt28b69euxtbXF1dWVVq1a0aFDB+BOoA4ICCAxMZGtW7eSlZVFpUqV6NmzJwMGDDB5RvaDDz7gk08+ITw8nMzMTNzc3AodWN3d3Zk5cybh4eFERUVhZWXFX/7yFyIiIvjoo4+4cOHCA/fxyiuvcP78eTZt2sTq1avJzc1l7ty5hQ6shb0mxTF16lTmzJnDhg0b2Lt3L7Vq1eI///kPGzZsKHJgrVOnDm3btjU+B5qTk0OVKlUICQkhODjY2C44OJhdu3axYsUK0tPTqVChAt7e3oSEhFC3bt0iHbN9+/ZYWVnx+eefM2/ePCpUqED37t1p3Lix8fU991PYWoYPH05qaiqrVq0iLS2NvLw8vv76awVWERGRR8CQ97hn2RAREZF7MkzLfnAjMZE3Rp+3i4g8LfQMq4iIiIiIiFgkfUQpIvIH165de+Dzp/b29tjb2z+W42dkZJCRkXHfNtbW1jg7Oz+W4xfFk641PT29wIm+7mZjY6NXzoiIiPyPUGAVEfmD/v37P/D509DQ0GJNZlQYS5YsITIy8r5t3NzciIuLeyzHL4onXeu0adNYu3btfds0adKEefPmPZLjiYiISMnSM6wiIn9w4MABbt26dd821apVw93d/bEc/9y5c5w/f/6+bezs7PDx8Xksxy+KJ13riRMnSE5Ovm+bcuXK8cwzzzyS4z0Jeoa16PQMq4jI00OBVUREpAQpsBadAquIyNNDky6JiIiIiIiIRVJgFREREREREYukMTUiIiIlKKLcAkJCQrCxsSnpUkRERCyOelhFRERERETEIimwioiIiIiIiEVSYBURERERERGLpMAqIiIiIiIiFkmBVURERERERCySAquIiIiIiIhYJAVWERERERERsUgKrCIiIiIiImKRFFhFRERERETEIimwioiIiIiIiEVSYBURERERERGLZMjLy8sr6SJERESeVoZp2SVdQonLG1OqpEsQERELpR5WERERERERsUgKrCIiIiIiImKRFFhFRERERETEIimwioiIiIiIiEVSYBURERERERGLpMAqIiIiIiIiFkmBVURERERERCySAquIiIiIiIhYJL2pW0SemISEBIYOHQpA7969eeutt8zaXL16la5du5KdnU2TJk2YN2/eY63J19f3vus///xzfHx8irzfhIQEEhMT6devH46Ojmbrjx49ysKFCzl8+DCXLl2iTJkyVKpUiYYNGxIYGEj9+vWLfExLl5SURFxcHH5+ftSrV++xHWfr1q0cOXKEIUOGPLZjiIiIyJOhwCoiT5ydnR3ffvst//znP7G1tTVZt27dOvLy8rC2tn5i9dStW5fg4OAC13l6ehZrn4mJiURGRuLv728WWHfs2MGYMWNwcnKiW7duVK9enbS0NM6cOcOuXbvw8PD4nw2skZGRVK1a9bEH1rVr1yqwioiI/A9QYBWRJ87Pz49vv/2Wbdu20aFDB5N1X3/9NS1atCA+Pv6J1VO5cmW6du36xI43a9Ys7OzsWLx4Ma6uribrcnNzSU1NfWK1/C+5ceMGDg4OJV2GiIiIPEIKrCLyxNWvX58TJ04QFxdnElgPHTrEiRMnGD58uFlg3b17N7GxsRw+fJjLly9jY2NDgwYNGDhwIM8995yx3a+//srAgQPx8fEhPDwcg8EAQE5ODkOHDuXw4cMsWrSI2rVrF7luf39/3NzcePvtt5k+fTr79+/HYDDQrFkzxo4dS8WKFQGYNGkSa9euBSAgIMC4fWhoKEOGDOHs2bPUqlXLLKwCWFlZ4ezsbLZ806ZNrFixgqNHj5KVlYWrqyvNmzfn9ddfx8bGhtzcXKKioti9ezdnzpwhNTUVFxcXWrZsybBhw3BycjLuKykpiYCAAEJDQ3n22WeJjIzk+PHjODo60rVrV8LCwihVqmh/PVy8eJGIiAji4+O5cuUKZcuWpXr16vTq1Yvu3bsTFxfH5MmTAZg8ebLx6/xh38Wt38vLi8WLF3Py5Ek6dOhAUlIS+/btA0yHe0+cOBF/f/9CnUtqaiqff/4527dvJzk5mTJlyuDm5kbHjh3p37+/sd3atWtZuXIlZ86cITs7GxcXFxo2bMgbb7xR4D0UERGRolNgFZESERAQwPTp07l06RKVK1cG7vSuVqhQgZYtW5q1j4uLIzU1la5du+Lq6sqlS5eIjY1l+PDhzJ07l8aNGwN3wvCoUaOYNm0aCxcuJCQkBIDIyEj279/P+PHjzcJqdnY2KSkpBdZ5d1ACSE5OZsiQIfj5+TFq1CiOHTtGTEwMN27cIDw8HIBevXpx48YNtmzZwujRo437qFOnDgDu7u6cOHGCgwcP8pe//OWB1yo8PJyoqChq1qxJv379qFixIufOnWPz5s0MHToUGxsbsrKyWLJkCS+88AJt2rShdOnSHD58mNjYWA4cOMDSpUuxsbEx2e+uXbuIjo4mMDCQgIAAtm3bxpIlS3B0dGTgwIEPrOvu6xcWFkZycjJBQUF4eHiQnp7O8ePH2b9/P927d6dx48aEhIQQFRVFz549jferQoUKAMWqf9u2baxYsYLAwEACAwNxcHCgXLly5OXlsX//ft5//31j20aNGhX6fMaNG8e+ffsIDAykTp063Lp1i5MnT5KYmGgMrN988w2TJk2icePGDB06FDs7O37//Xd27drF1atXFVhFREQeEQVWESkRXbp0YebMmaxdu5aBAweSmZnJd999R48ePQrs3Xv33XcpU6aMybLAwED69OlDVFSUMQAB9O3bl7179zJ37lx8fX25desWCxYs4IUXXiAwMNBs37t376Z9+/Zmy8uUKcOOHTtMlp09e5apU6ea9AxbWVmxatUqTp06RY0aNWjUqBG1a9dmy5Yt+Pn5UbVqVZN9DB48mPHjxzNo0CBq165No0aNaNCgAU2bNjVre+jQIaKiovD19WXGjBnY2dkZ140cOdL4ta2tLRs2bKB06dIm2zdq1IgpU6awdetWs+HXJ06cYOXKlcZjBgYG8tJLL7FixYoiBdaTJ09y+vRpRo4cyYABAwps4+7uTrNmzYiKiqJRo0ZmQ7CLU/9vv/3Gl19+iZeXl8nyDRs2sH///mIN805PTyc+Pp6goCDGjh17z3Zbt27FwcGBOXPmmPy85k8qJiIiIo+GAquIlAgnJydat25tDKxbtmwhPT3dZAjt3e4OqxkZGdy+fRtra2u8vb05dOiQWfuJEyfSr18/3nnnHbKzs3F1deW9994rcN/e3t4MGzbMbHlBEz9VqlTJLDj5+vqyatUqzp49S40aNe532gC0b9+eihUr8sUXX7B3715iYmKIiYkBoHXr1rz33nvGHroNGzYAMGLECJOwChiHO+d/nR/2cnJyyMjIICcnh6ZNmwJ3gu8f6/5jmDYYDPj6+rJy5UoyMjKwt7d/4LkAlC1bFrgz0ZS/v7+x17QoilN/y5YtzcLqw7Kzs8PW1pZDhw6RlJRk9gFCvrJly5KZmcnOnTtp06aNyb0QERGRR0eBVURKjL+/P6+//joHDhzg66+/pkGDBtSsWbPAtufOnSM8PJzdu3eTlpZmsq6gsFC+fHkmTJhAWFgYcOf1NAW9XgbuhOdmzZoVquZq1aoVeCygSJMl+fj44OPjQ15eHmfOnCEhIYHo6Gi2b9/Oe++9x6xZswA4c+YMBoPBOJz4fjZu3MjSpUs5cuQI2dnZJuuuX79e5HMpbGB1c3Nj4MCBLFy4kM6dO1O3bl2aNm1K+/btadCgQaH2UZz6PTw8Cr3vwrKxsWH06NF8/PHHBAQEULNmTXx9ffHz8+P55583tgsJCWHfvn2MGTOG8uXL06RJE1q0aEGHDh008ZOIiMgjpMAqIiWmefPmVK5cmXnz5pGQkMC4ceMKbJeRkUFoaCg3b97k5Zdfpnbt2jg4OGAwGFi4cOE9ZxTevn278eujR48W632qf2RlZXXPdXl5eUXen8FgwNPTE09PT7p3706fPn3YvXs3v//+u3FSJoPB8MAevM2bNzN+/HgaNGjAmDFjcHV1xdbWltzcXEaOHFlgbY/yXIYPH05AQAA7d+7kwIEDxMbGsmTJEvr378+oUaMeuH1x6v/j8OFHJSgoCD8/P3bu3EliYiKbNm1i5cqVdOjQgalTpwJ3wvKqVavYu3cv8fHx7Nu3jylTphAREUFkZCTu7u6PpTYREZGnjQKriJQYa2trunXrRlRUFHZ2dnTq1KnAdnv37iU5OZkJEyaYDRmeM2dOgdvkT8jj7+/PuXPnmDFjBk2aNCnW7MDFUZwhonZ2dtStW5fz58+TnJyMq6srnp6e/PDDDxw9ehRvb+97brtu3Trs7OyIiIgwCXKnTp0qTvnF4u7uTt++fenbty+3bt1i5MiRLF68mODgYCpUqHDfa/Io638Uw3MrVqxIjx496NGjBzk5OUyYMIFvv/2W4OBgY6+xra0tLVu2NE4StnPnTl5//XWWLVvGW2+99dA1iIiICNz743URkScgMDCQ0NBQxo8fb3wW8o/ynyX9Yy/b7t27C3x+9dKlS7z//vt4eXnx1ltv8cEHH2BnZ8fbb79NZmbmoz+JAuQPpy1oKOsPP/xQYI/htWvX+Omnn7C2tqZ69eoAxhA/e/ZssrKyzLbJ309+b2lubq7Juvnz5z/kmTxYenq62RBeOzs74/O8+dcg/5oUNHT6Udaf/7xzcd5nm5mZafYzYm1tbRySnX8uBc0qXb9+/WIfV0RERAqmHlYRKVFVqlRhyJAh923j4+ODi4sLn376KRcuXKBy5cocPXqUdevWUbt2bY4fP25sm5uby7vvvktmZiZTp06ldOnSVKlShffee48333yTjz/+mHfeecdk/5cuXWLdunUFHrtRo0bFGt6Z3xs6c+ZMunTpgq2tLbVq1aJ27dq89dZbxtf3eHl5UapUKc6fP8+6deu4cuUKoaGhxmdJvb29GTBgAIsWLeKVV16hY8eOuLi4kJSUxKZNm1i0aBGOjo60a9fO+Jqbbt26kZ2dzbZt255IQE9ISODDDz/khRdewNPTE3t7e3755RdiY2Px9vY2BlcvLy8cHByIjo6mdOnSODo6UqFCBZo2bfpI62/YsCErV67kX//6Fy1btqRUqVJ4e3sX+MzuH50+fZrBgwfTtm1batWqhaOjI6dOnSI6Oppq1aoZZ6MOCwvD0dGRxo0b4+rqSlpaGnFxcRgMhmLNTiwiIiIFU2AVEYvn6OjIrFmzmDlzJitWrCAnJ4f69eszY8YMYmNjTQLr/Pnz2bdvH+PGjTMZ/tu2bVt69+7NqlWr+Otf/0q7du2M644ePcqECRMKPPa7775brMDq4+PDyJEjiYmJYcqUKeTk5BAaGkrt2rWZOHEiu3btIj4+nnXr1pGRkUH58uWpX78+o0ePNqkN7ry+pk6dOqxcuZLFixeTm5uLq6srLVq0MA6f7dSpExkZGSxfvpwZM2bg6OhI69atGTFihNn+HrU6derQtm1bEhMT2bBhAzk5OVSpUoWQkBCCg4ON7UqXLs2HH37InDlz+OSTT7h9+zZNmjShadOmj7T+Tp06ceTIEb777js2bdpEbm4uEydOLFRgdXV1JSAggMTERLZu3UpWVhaVKlWiZ8+eDBgwwHi9g4KC2LhxIzExMaSmplK+fHnq1avH2LFj8fX1LdoFFBERkXsy5BVnlhARERF5JAzTsh/c6H9c3hh9fi4iIgXTM6wiIiIiIiJikfSRpoiIFCgjI4OMjIz7trG2tsbZ2fkJVVR8mZmZpKenP7BdxYoVn0A1IiIiUlgKrCIiUqAlS5YQGRl53zZubm7ExcU9oYqKb+PGjUyePPmB7RISEp5ANSIiIlJYCqwiIlKgbt264ePjc982dnZ2T6aYh9S8eXPCw8NLugwREREpIk26JCIiUoI06ZImXRIRkXvTpEsiIiIiIiJikfSRpoiISAmKKLeAkJAQbGxsSroUERERi6MeVhEREREREbFICqwiIiIiIiJikRRYRURERERExCIpsIqIiIiIiIhFUmAVERERERERi6TAKiIiIiIiIhZJgVVEREREREQskgKriIiIiIiIWCQFVhEREREREbFICqwiIiIiIiJikRRYRURERERExCIpsIqIiIiIiIhFMuTl5eWVdBEiIiJPK8O07JIuoVjyxpQq6RJEROQpoB5WERERERERsUgKrCIiIiIiImKRFFhFRERERETEIimwioiIiIiIiEVSYBURERERERGLpMAqIiIiIiIiFkmBVUTkT8jf35/Bgwc/8v0OHjwYf3//R75fERERkeLQS9REROSRmTRpEmvXrjV+b2VlRfny5fH29ubvf/87f/nLX0qwOhEREfmzUWAVEZFHbty4cdjb23P79m1+++03vvrqK3744Qdmz57Nc889V9LliYiIyJ+EAquIiDxy7du3x8nJyfi9j48Pb731FosXL/7TBtbs7GxycnKws7Mr6VJERESeGgqsIiIWIi4ujsmTJxMeHs6BAweIi4vjypUreHp6EhISQqdOncy2OXXqFNOnT2f//v0YDAaaNWvG2LFjqVixIgDLli1j+vTpzJo1i7/+9a8m296+fZsuXbpQp04d5s6de9/a9u3bx+eff85///tfsrOzqVGjBr1796ZHjx6FOrfmzZsDcPbs2UK1z/fbb78xb948fvrpJ1JSUihXrhw1atTg1VdfpWXLlsZ2WVlZLF++nG+//ZbTp09TqlQpPDw86N69Oy+99JKxXVJSEnPmzGHPnj2kpaVRuXJlOnbsyKBBgyhdurSxXUREBJGRkaxYsYLY2Fi+//57Ll++zOzZs/H19eX27dssXbqUDRs2cO7cOWxtbWncuDFDhgyhfv36RTpHERERuTcFVhERC/PZZ59x8+ZNgoKCgDtB9p133uH27dsmEyIlJyczZMgQ/Pz8GDVqFMeOHSMmJoYbN24QHh4OQLdu3QgPD+frr782C6xbtmwhNTX1gaFz+/btvPnmm7i4uBAcHIy9vT3fffcdU6ZM4fz584SFhT3wnM6cOQNg0uv6ICkpKQwbNgyAwMBAqlSpQkpKCr/88guHDh0yBtasrCxGjBhBYmIif/3rX+nSpQu2trYcP36cLVu2GAPrhQsXGDBgAOnp6QQFBeHh4UFiYiJRUVEcPHiQ2bNnU6qU6V+L7733HnZ2drzyyisYDAYqVqxIdnY2I0eO5KeffqJr16706dOH9PR0vvrqKwYNGkRkZCTPPvtsoc9TRERE7k2BVUTEwqSkpPDll19StmxZAIKCgujbty/Tp0+nQ4cOxp7As2fPMnXqVDp06GDc1srKilWrVnHq1Clq1KiBk5MTbdu2NYbT8uXLG9vGxsZSrlw52rZte89acnJy+OijjyhTpgyLFi2iUqVKAPTp04chQ4awaNEi/P398fDwMNkuNTUVuBMmjx07xqeffgrcCdCFdfDgQa5evWp2jn+0fPlyEhMTCQkJMQvPubm5xq/Dw8O5du0an376qTHs9u7dmxkzZrBkyRLWrl1rFt7Lli1rFmSXLVtGYmIin332mbHnGO7cp5deeolPP/2UefPmFfo8RURE5N70WhsREQsTFBRkDKtwJzQFBgZy/fp1EhMTjcsrVapkFuR8fX0B06G3PXv25Pbt26xfv964LCkpifj4eDp37nzfZzJ/+eUXLl68SEBAgDGsAtjY2NC/f39yc3PZtm2b2XaBgYG0b9+eLl26MGrUKJKTkxkxYgSBgYGFvg751+CHH34gPT39nu02bNhAuXLleO2118zWWVnd+WsuNzeX7du3U69ePZOhxAB///vfsbKyYuvWrWbb9+vXz6zXdf369dSoUYNnnnmGlJQU43/Z2dk0a9aMgwcPkpmZWejzFBERkXtTD6uIiIWpUaOG2TIvLy8Azp8/b1xWrVo1s3b5Paj5PZxwJ8R6eHjw9ddf07dvX+DOMOO8vLwHDgdOSkoCoGbNmmbratWqZVZTvo8++ggHBwesra0pX748Xl5eZsHvQZ577jm6detGXFwc69ev59lnn6VZs2Z06NDBpJ4zZ85Qr169+wbva9eukZGRUeB5lC9fnooVKxZ4Hn/sOQY4efIkt27don379vc8XkpKClWqVHnQKYqIiMgDKLCKiPxJ5fceFiQvL8/k+549ezJjxgx++eUX6tWrR1xcHM8++yx169Z9LLU1adKkSM+r3svkyZN59dVX+eGHH9i/fz9Lly5lwYIFjB492mQypcfl7omY7la7dm3++c9/3nM7Z2fnx1WSiIjIU0WBVUTEwpw6dcps2cmTJ4GCe1ULw9/fn9mzZxMbG0ubNm24ePEif//73x+4Xf7xTpw4YbYuf1lxayqs2rVrU7t2bfr3709aWhoDBgxg1qxZ9OnTB4PBgKenJ6dOneL27dvY2toWuA9nZ2ccHBwKPI/r169z+fLlQof36tWrc+3aNZo2bXrfDw1ERETk4elvWhERCxMdHW3yzGZ6ejqrV6/G0dGx2O8wdXJyws/Pjw0bNrBy5UpKly5N586dH7hd/fr1qVKlCnFxcVy+fNm4PDs7myVLlmAwGGjTpk2xanqQ1NRUk0mTABwdHalWrRqZmZncunULgM6dO3P9+nXmz59vto/8nmYrKytatWrFkSNH+OGHH0zaLFy4kNzcXPz8/ApVV7du3bhy5QrLli0rcP2VK1cKtR8RERF5MPWwiohYGCcnJwYMGGB8hU1cXBwXL17k3XffvecQ1cLo2bMnGzduZMeOHXTv3t1kYqd7sba2ZuzYsbz55psMGDCAnj17Ym9vz8aNG/n5558JCQkp8DnPR+Gbb75h+fLltG3bFnd3d0qVKsW+ffv48ccfTWZLfvnll9mxYwfz58/n8OHDNGvWDDs7O06cOMHp06eZPXs2AGFhYezZs4cxY8YQFBRE9erV2bdvHxs3bqRJkyZ07969UHW9/PLL7NmzhxkzZhAfH0/Tpk1xcHDg4sWLxMfHY2trS0RExGO5JiIiIk8bBVYREQszcuRIDhw4wKpVq7h69SoeHh5MmTKlUD2i99O0aVOqV6/O2bNnefHFFwu9XevWrZk9ezbz589nyZIlZGVlUaNGDd59990HTtr0MJ577jmOHDnCjh07uHz5MtbW1lStWpXXX3+dPn36GNvZ2Ngwa9Ysli5dyrfffsvs2bOxtbXFw8PD5L21bm5uLFy4kLlz57J+/XrS0tJwdXUlJCSEQYMGFXpSqFKlSvHpp58SHR3NunXrjOG0UqVKNGjQoNDBV0RERB7MkPfHmTlERKRExMXFMXnyZObOnWt8Pc2j1qdPH3Jycli9evVj2b8UnWFadkmXUCx5Y/SZt4iIPH56hlVE5CkRHx/PiRMn6NmzZ0mXIiIiIlIo+nhUROR/XHx8POfOnWPhwoU4Ozs/1mG8hZGenk5mZuZ929jY2BjfKSsiIiJPLwVWEZH/cZGRkRw8eBAvLy8mTZpUqMmWHqdp06axdu3a+7Zp0qQJ8+bNe0IViYiIiKXSM6wiIvJEnThxguTk5Pu2KVeuHM8888wTqqhk6RlWERGRe9PfNiIi8kTVrFmTmjVrlnQZIiIi8iegSZdERERERETEIimwioiIiIiIiEXSkGAREZESFFFuASEhIdjY2JR0KSIiIhZHPawiIiIiIiJikRRYRURERERExCIpsIqIiIiIiIhFUmAVERERERERi6TAKiIiIiIiIhZJgVVEREREREQskgKriIiIiIiIWCQFVhEREREREbFICqwiIiIiIiJikRRYRURERERExCIpsIqIiIiIiIhFMuTl5eWVdBEiIiJPK8O07JIuoVDyxpQq6RJEROQppB5WERERERERsUgKrCIiIiIiImKRFFhFRERERETEIimwioiIiIiIiEVSYBURERERERGLpMAqIiIiIiIiFkmBVURERERERCySAquIiPxPmjRpEr6+viVdhoiIiDwEvQVcRCxGQkICQ4cOBaB379689dZbZm2uXr1K165dyc7OpkmTJsybN++x1vSgwPP555/j4+NT5P0mJCSQmJhIv379cHR0NFt/9OhRFi5cyOHDh7l06RJlypShUqVKNGzYkMDAQOrXr1/kY4qIiIj82SiwiojFsbOz49tvv+Wf//wntra2JuvWrVtHXl4e1tbWT6yeunXrEhwcXOA6T0/PYu0zMTGRyMhI/P39zQLrjh07GDNmDE5OTnTr1o3q1auTlpbGmTNn2LVrFx4eHgqsIiIi8lRQYBURi+Pn58e3337Ltm3b6NChg8m6r7/+mhYtWhAfH//E6qlcuTJdu3Z9YsebNWsWdnZ2LF68GFdXV5N1ubm5pKamPrFaREREREqSAquIWJz69etz4sQJ4uLiTALroUOHOHHiBMOHDzcLrLt37yY2NpbDhw9z+fJlbGxsaNCgAQMHDuS5554ztvv1118ZOHAgPj4+hIeHYzAYAMjJyWHo0KEcPnyYRYsWUbt27SLX7e/vj5ubG2+//TbTp09n//79GAwGmjVrxtixY6lYsSJw59nKtWvXAhAQEGDcPjQ0lCFDhnD27Flq1aplFlYBrKyscHZ2Nlu+adMmVqxYwdGjR8nKysLV1ZXmzZvz+uuvY2NjQ25uLlFRUezevZszZ86QmpqKi4sLLVu2ZNiwYTg5ORn3lZSUREBAAKGhoTz77LNERkZy/PhxHB0d6dq1K2FhYZQqVfS/Pi5fvkxkZCQ7d+7kypUrODk50apVK4YNG0aFChWM7SIiIoiMjCQ6OppvvvmGb775hmvXrlGjRg3CwsJo2bKlyX5v3brF3LlzWb9+PWlpadSqVYvhw4cXub58Fy9eJCIigvj4eK5cuULZsmWpXr06vXr1onv37sCdDw6+/PJLvv76a5KSkjAYDLi4uODj48Pbb79drOsjIiIi5vQ3qohYpICAAKZPn86lS5eoXLkycKd3tUKFCmaBBSAuLo7U1FS6du2Kq6srly5dIjY2luHDhzN37lwaN24M3AnDo0aNYtq0aSxcuJCQkBAAIiMj2b9/P+PHjzcLq9nZ2aSkpBRY591BDyA5OZkhQ4bg5+fHqFGjOHbsGDExMdy4cYPw8HAAevXqxY0bN9iyZQujR4827qNOnToAuLu7c+LECQ4ePMhf/vKXB16r8PBwoqKiqFmzJv369aNixYqcO3eOzZs3M3ToUGxsbMjKymLJkiW88MILtGnThtKlS3P48GFiY2M5cOAAS5cuxcbGxmS/u3btIjo6msDAQAICAti2bRtLlizB0dGRgQMHPrCuu128eJGQkBCysrJ48cUXcXd35+zZs6xevZqEhASWLFlC2bJlTbaZNGkSpUqVIjg4mKysLL744gvGjBlDTEwMVatWNbZ755132Lp1K61ataJ58+acO3eON99806RNYWVnZxMWFkZycjJBQUF4eHiQnp7O8ePH2b9/vzGwLliwgLlz59KqVSsCAwOxsrIiKSmJ7du3c/v2bQVWERGRR0R/o4qIRerSpQszZ85k7dq1DBw4kMzMTL777jt69OhRYBh49913KVOmjMmywMBA+vTpQ1RUlDGwAvTt25e9e/cyd+5cfH19uXXrFgsWLOCFF14gMDDQbN+7d++mffv2ZsvLlCnDjh07TJadPXuWqVOnmvQMW1lZsWrVKk6dOkWNGjVo1KgRtWvXZsuWLfj5+ZkFq8GDBzN+/HgGDRpE7dq1adSoEQ0aNKBp06ZmbQ8dOkRUVBS+vr7MmDEDOzs747qRI0cav7a1tWXDhg2ULl3aZPtGjRoxZcoUtm7dajb8+sSJE6xcudJ4zMDAQF566SVWrFhR5MD60UcfkZ2dzbJly0x6jtu3b09ISAjLli1jyJAhJts4OTkxffp0Yy+4r68vAwYMICYmhhEjRgB37s3WrVvp3r07kyZNMm7bpEkTxowZU6QaAU6ePMnp06cZOXIkAwYMuGe7LVu24OXlxfTp002W333NRURE5OEpsIqIRXJycqJ169bGwLplyxbS09NNhtDe7e6wmpGRwe3bt7G2tsbb25tDhw6ZtZ84cSL9+vXjnXfeITs7G1dXV957770C9+3t7c2wYcPMlhc08VOlSpXMgp+vry+rVq3i7Nmz1KhR436nDdwJcRUrVuSLL75g7969xMTEEBMTA0Dr1q157733jMOCN2zYAMCIESNMwipgDHr5X+eH1ZycHDIyMsjJyaFp06bAneD7x7r/GKYNBgO+vr6sXLmSjIwM7O3tH3guAOnp6ezcuRN/f3/s7OxMequrVq2Ku7s7e/bsMQusffv2NTmHBg0aYG9vz5kzZ4zLtm7dCsCrr75qVrunpyenT58uVI358nt5ExMT8ff3Nxmq/Md2v/76KwcOHCjWLNEiIiJSOAqsImKx/P39ef311zlw4ABff/01DRo0oGbNmgW2PXfuHOHh4ezevZu0tDSTdXeHnnzly5dnwoQJhIWFAXdeT1PQ62XgTnhu1qxZoWquVq1agccCijRZko+PDz4+PuTl5XHmzBkSEhKIjo5m+/btvPfee8yaNQuAM2fOYDAYjMOJ72fjxo0sXbqUI0eOkJ2dbbLu+vXrRT6XwgbWU6dOkZubS2xsLLGxsQW2KehY7u7uBR7/7ut4/vx5rKysCpyt2cvLq8iB1c3NjYEDB7Jw4UI6d+5M3bp1adq0Ke3bt6dBgwbGdmFhYYwZM4bXXnuNSpUq8dxzz9GyZUvatWtnNrRaREREik+BVUQsVvPmzalcuTLz5s0jISGBcePGFdguIyOD0NBQbt68ycsvv0zt2rVxcHDAYDCwcOHCe84ovH37duPXR48efSQ9ZVZWVvdcl5eXV+T9GQwGPD098fT0pHv37vTp04fdu3fz+++/G4fWGgyGAkP53TZv3sz48eNp0KABY8aMwdXVFVtbW3Jzcxk5cmSBtT3qc+nSpYvxGdA/+mPv8P2OX5xjF8Xw4cMJCAhg586dHDhwgNjYWJYsWUL//v0ZNWoUcGco9Zo1a/jxxx+N79TdsGED8+fP5/PPPzcGexEREXk4CqwiYrGsra3p1q0bUVFR2NnZ0alTpwLb7d27l+TkZCZMmGA2ZHjOnDkFbrNt2zZWrFiBv78/586dY8aMGTRp0qRYswMXx4MCZkHs7OyoW7cu58+fJzk5GVdXVzw9Pfnhhx84evQo3t7e99x23bp12NnZERERYfIc66lTp4pTfpG4u7tjMBjIzs4udE91YVWrVo3c3FxOnz5NrVq1TNadPHmy2Pt1d3enb9++9O3bl1u3bjFy5EgWL15McHCwcZiwvb097dq1o127dgCsWrWKf//738TGxtK/f//in5SIiIgY3fvjcxERCxAYGEhoaCjjx483m0U2X/6zpH/sedu9e3eBz69eunSJ999/Hy8vL9566y0++OAD7OzsePvtt8nMzHz0J1GA/OG0BQ3F/eGHHwrsRbx27Ro//fQT1tbWVK9eHcAY4mfPnk1WVpbZNvn7ye+tzM3NNVk3f/78hzyTB3NycqJFixZs3ryZn3/+ucAar127Vqx9t2nTBoAlS5aYLN+6dWuRhwPDnedt/zhc2s7Ozvjscf79KmjW6Pr165u0ERERkYenHlYRsWhVqlQxm4znj3x8fHBxceHTTz/lwoULVK5cmaNHj7Ju3Tpq167N8ePHjW1zc3N59913yczMZOrUqZQuXZoqVarw3nvv8eabb/Lxxx/zzjvvmOz/0qVLrFu3rsBjN2rUqMBnLR8kvzd05syZdOnSBVtbW2rVqkXt2rV56623jK/v8fLyolSpUpw/f55169Zx5coVQkNDjUNOvb29GTBgAIsWLeKVV16hY8eOuLi4kJSUxKZNm1i0aBGOjo60a9fO+Jqbbt26kZ2dzbZt255YQB83bhyvvfYaoaGhdOvWjXr16pGbm8v58+fZvn07Xbt2feB9Lkjz5s1p1aoVa9euJTU1lb/97W+cO3eOmJgYatWqxW+//Vak/SUkJPDhhx/ywgsv4Onpib29Pb/88guxsbF4e3sbg2tQUBANGzakQYMGVKpUicuXL/PVV19hY2NDx44di3weIiIiUjAFVhH503N0dGTWrFnMnDmTFStWkJOTQ/369ZkxYwaxsbEmgXX+/Pns27ePcePGmQz/bdu2Lb1792bVqlX89a9/NQ7zhDvPt06YMKHAY7/77rvFCqw+Pj6MHDmSmJgYpkyZQk5ODqGhodSuXZuJEyeya9cu4uPjWbduHRkZGZQvX5769eszevRok9rgzqtU6tSpw8qVK1m8eDG5ubm4urrSokUL4/DfTp06kZGRwfLly5kxYwaOjo60bt2aESNGmO3vcahSpQpLly5l0aJFbNu2jfXr12Nra4urqyutWrUym6G4KKZOncqcOXPYsGEDe/fupVatWvznP/9hw4YNRQ6sderUoW3btsZnUnNycqhSpQohISEEBwcb2wUHB7Nr1y5WrFhBeno6FSpUwNvbm5CQEOrWrVvscxERERFThrzHPXuFiIiI3JNhWvaDG1mAvDH6jFtERJ48PcMqIiIiIiIiFkkfl4qISLFkZGSQkZFx3zbW1tY4Ozs/oYru7c9Uq4iIiPwfBVYRESmWJUuWEBkZed82bm5uxMXFPaGK7u3PVKuIiIj8HwVWEREplm7duuHj43PfNnZ2dk+mmAf4M9UqIiIi/0eTLomIiJQgTbokIiJyb5p0SURERERERCySPi4VEREpQRHlFhASEoKNjU1JlyIiImJx1MMqIiIiIiIiFkmBVURERERERCySAquIiIiIiIhYJAVWERERERERsUgKrCIiIiIiImKRFFhFRERERETEIimwioiIiIiIiEVSYBURERERERGLpMAqIiIiIiIiFkmBVURERERERCySAquIiIiIiIhYJAVWERERERERsUiGvLy8vJIuQkRE5GllmJb9RI+XN6bUEz2eiIjIw1APq4iIiIiIiFgkBVYRERERERGxSAqsIiIiIiIiYpEUWEVERERERMQiKbCKiIiIiIiIRVJgFREREREREYukwCoiUkj+/v4MHjy4pMsQEREReWroZWwiIn8SERER1KtXDz8/v3u22bt3LzExMfz8889cvXoVGxsbPDw8aN68OUFBQbi6uj65gkVEREQekgKriMifRGRkJN27dy8wsObm5vL//X//H2vWrMHNzY1OnTrh4eFBVlYWv/zyC6tWrWLNmjVs3LjxyRcuIiIiUkwKrCIi/wPmzZvHmjVr6NSpE5MmTcLGxsZk/T//+U/mzZtXQtX9+eXk5JCVlUXp0qVLuhQREZGniiEvLy+vpIsQESkpcXFxTJ48mfDwcA4cOEBcXBxXrlzB09OTkJAQOnXqZGzr7++Pm5sbb7/9NtOnT2f//v0YDAaaNWvG2LFjqVixorFtcnIyS5cuJT4+ngsXLnDr1i2qVatGt27dePXVV7G2tja2vXXrFgsXLuTbb7/l999/x8bGBldXV/72t7/xj3/8g6SkJAICAgqsPyEhgatXr+Lv70+FChWIjo7Gzs6uUOeelJTEnDlz2LNnD2lpaVSuXJmOHTsyaNAgk2AWERFBZGQk0dHRfPPNN3zzzTdcu3aNGjVqEBYWRsuWLU32u3btWlauXMmZM2fIzs7GxcWFhg0b8sYbb+Ds7Fyo2gAuXrxIREQE8fHxXLlyhbJly1K9enV69epF9+7dje3y8vJYs2YNa9as4cSJEwBUrVqVtm3bMnToUGO7lJQUIiIi2L59O1euXMHFxYXWrVszZMgQnJycjO3u/pn4+eefiYuL4+LFi7z77rv4+/uTl5fH6tWrWbNmDSdPnsTKyopnn32W0NBQfH19C31++QzTsou8zcPIG6PPqkVE5M9Df2uJiACfffYZN2/eJCgoCLgTWt555x1u376Nv7+/sV1ycjJDhgzBz8+PUaNGcezYMWJiYrhx4wbh4eHGdseOHWPLli34+fnh7u5OdnY2P/74I7NmzeL8+fO88847xrb//ve/+frrr+nWrRuvvPIKOTk5nD17lvj4eACcnZ15//33mTBhAo0bN6Znz54mte/cuZNbt27RrVu3QofVCxcuMGDAANLT0wkKCsLDw4PExESioqI4ePAgs2fPplQp078iJk2aRKlSpQgODiYrK4svvviCMWPGEBMTQ9WqVQH45ptvmDRpEo0bN2bo0KHY2dnx+++/s2vXLq5evVrowJqdnU1YWBjJycnG+tLT0zl+/Dj79+83CawTJkxg/fr1eHt7M3DgQBwdHTl16hSbNm0yBtb09HQGDhzI2bNnCQgIoH79+hw5coTo6Gji4+NZtGgRDg4OJjXMmDGD7OxsevbsiYODA56ensbjffvtt7Rr1w5/f3+ysrJYv349YWFhfPTRR7Rp06ZQ5ygiIiIPpsAqIsKd3rcvv/ySsmXLAhAUFETfvn2ZPn06HTp0MPY4nj17lqlTp9KhQwfjtlZWVqxatYpTp05Ro0YNAJo0aUJsbCwGg8HYrl+/frz33nvExsYyZMgQY4/s1q1b+dvf/sbkyZMLrK1MmTJ07dqVCRMmUK1aNbp27Wqy/rfffgOgbt26hT7f8PBwrl27xqeffmrsIe3duzczZsxgyZIlrF27lh49ephs4+TkxPTp043n5Ovry4ABA4iJiWHEiBHGc3FwcGDOnDkmgffuns7COHnyJKdPn2bkyJEMGDDgnu02btzI+vXr6dKlC5MnT8bK6v8mv8/NzTV+vWjRIs6cOcNbb71F7969jcvr1q3LRx99xOLFixk2bJjJvjMzM1m+fLlJb/OWLVtYv349b7/9Nr169TIu79u3LyEhIXz88ce0bt3a5L6LiIhI8em1NiIi3Amo+WEVoGzZsgQGBnL9+nUSExONyytVqmQSVgHjMNCzZ88al5UuXdoYWrKyskhNTSUlJYXmzZuTm5vL4cOHTY514sQJjh8/Xqzab9y4AWDWQ3gvubm5bN++nXr16pkN5/373/+OlZUVW7duNduub9++JkGsQYMG2Nvbc+bMGeOysmXLkpmZyc6dO3mYJ07y70ViYiJXr169Z7v169cD8Prrr5uEVcDk+61bt+Ls7GzWO92rVy+cnZ3ZsmWL2b6DgoLMnlldt24dDg4O+Pn5kZKSYvwvPT2dVq1akZSUZHI9RERE5OGoh1VEBIw9o3fz8vIC4Pz588Zl1apVM2tXvnx5AFJTU43LsrOzWbhwIevWrePs2bNm4e369evGr0ePHs3EiRPp27cv1apVw9fXl1atWtG6dWuzEFaQ/KCakZHxwLYA165dIyMjg5o1axZ4LhUrVjQ553zu7u4Ftr/7vENCQti3bx9jxoyhfPnyNGnShBYtWtChQ4dCB2oANzc3Bg4cyMKFC+ncuTN169aladOmtG/fngYNGhjbnT17looVK+Li4nLf/SUlJfHMM8+YDXMuVaoUHh4e/Prrr2bbeHh4mC07deoUN27coGPHjvc81tWrV43Dh0VEROThKLCKiBTB/QLk3aF0+vTprFixgg4dOjBw4ECcnZ0pVaoUv/76K5999plJWz8/P77++mt27drFvn372Lt3L7GxsTRu3JjZs2ebzfj7R7Vq1QLgyJEjtG3b9iHP8N7ude53n4uHhwerVq1i7969xMfHs2/fPqZMmWKcuKmg0Hsvw4cPJyAggJ07d3LgwAFiY2NZsmQJ/fv3Z9SoUQ99Pg9S0IzAeXl5ODs7M2XKlHtul38/RERE5OEpsIqIcKfn7I9OnjwJFNyr+iDr1q2jSZMmTJ061WT53cOG71a+fHm6du1K165dycvL47PPPmPx4sVs27aN9u3b3/dYLVu2xM7OjnXr1jFw4EBsbW3v297Z2RkHBwfjjLp3u379OpcvXy7S87B/ZGtrS8uWLY3DjXfu3Mnrr7/OsmXLeOutt4q0L3d3d/r27Uvfvn25desWI0eOZPHixQQHB1OhQgU8PDzYtm2bcdbfe6lWrRqnT58mOzvbpJc1OzubM2fOFPoeV69enTNnztCwYUPs7e2LdC4iIiJSdHqGVUQEiI6OJj093fh9eno6q1evxtHRkeeee67I+7OysjIbBnzz5k2WL19usiwnJ4e0tDSTZQaDgXr16gGmw4zt7e1Nvs9XoUIFXn31VZKSkvjggw/Iysoya5Oens7HH39srK1Vq1YcOXKEH374waTdwoULyc3Nxc/Pr/Ane5eUlBSzZfXr1zc7lwdJT08nO9v0dS92dnbGodv5Q6q7dOkCwMyZM00mWQLTnt82bdpw7do11qxZY9JmzZo1XLt2rdA90926dSM3N5dZs2YVuP7KlSuF2o+IiIgUjnpYRUS4MwPugAEDjK+wufvdmwUNDX2Qdu3aERMTw/jx43n++ee5cuUKcXFxxudd82VkZNC5c2dat25NvXr1cHZ2JikpiejoaMqVK0fr1q2Nbb29vdm7dy8LFy6kSpUqGAwG43tiBw8ezOXLl1mzZg0HDx6kY8eOxtfpHDlyhE2bNmFjY8Mbb7wBQFhYGHv27GHMmDEEBQVRvXp19u3bx8aNG2nSpInJa2OKIiwsDEdHRxo3boyrqytpaWnExcVhMBjMZje+n4SEBD788ENeeOEFPD09sbe355dffiE2NhZvb29jcG3fvj0dOnTgm2++4ezZs7Ru3RpHR0fOnDnDjz/+yMqVKwEYMGAAmzZt4qOPPuLIkSPUq1ePI0eOEBsbi6enJ/379y9UXe3bt8ff35+VK1fy66+/0qpVK5ycnLh06RI//fQT586dIzY2tsjXTURERAqmwCoiAowcOZIDBw6watUqrl69ioeHB1OmTKFz587F2t/o0aNxcHBg48aNbNu2DVdXV3r27Mmzzz7L8OHDje1Kly7Nyy+/zN69e9m7dy8ZGRlUrFiR1q1bExISQqVKlYxtx40bx7///W+ioqKMMwPnB1YrKyveffddOnToQExMDOvWrePq1avY2tri4eFB7969TV7n4ubmxsKFC5k7dy7r168nLS0NV1dXQkJCGDRokNnkRIUVFBTExo0biYmJITU1lfLly1OvXj3Gjh1rnE25MOrUqUPbtm1JTExkw4YN5OTkUKVKFUJCQggODjZp++GHH9K4cWNiY2OJjIzE2tqaqlWrmgylLlu2LPPnzyciIoLt27fz9ddf4+LiQmBgIEOGDCnShFATJ07E19eXr776ioULF5KVlYWLiwv169cnLCys0PsRERGRBzPkPcx7B0RE/uTi4uKYPHkyc+fOLVKgEnlUDNOyH9zoEcobo8+qRUTkz0PPsIqIiIiIiIhF0sesIiLyxGRkZDzwfbHW1tY4Ozs/oYpERETEkimwiojIE7NkyRIiIyPv28bNzY24uLgnVJGIiIhYMj3DKiIiT8y5c+c4f/78fdvY2dnh4+PzZAqyAHqGVURE5N70t5aIiDwx7u7uuLu7l3QZIiIi8iehSZdERERERETEIimwioiIiIiIiEXSkGAREZESFFFuASEhIdjY2JR0KSIiIhZHPawiIiIiIiJikRRYRURERERExCIpsIqIiIiIiIhFUmAVERERERERi6TAKiIiIiIiIhZJgVVEREREREQskgKriIiIiIiIWCQFVhEREREREbFICqwiIiIiIiJikRRYRURERERExCIpsIqIiIiIiIhFMuTl5eWVdBEiIiJPK8O07EK3zRtT6jFWIiIiYnnUwyoiIiIiIiIWSYFVRERERERELJICq4iIiIiIiFgkBVYRERERERGxSAqsIiIiIiIiYpEUWEVERERERMQiKbCKiIiIiIiIRVJgFREpYQkJCfj6+hIXF1fSpTwxSUlJ+Pr6EhERUdKlFMnTeK9ERERKkgKriMif3PLlyxWgHqGkpCQiIiI4cuRISZciIiLy1CtV0gWIiDztmjRpwq5duyhVqni/kr/44gvc3Nzw9/d/xJU9nZKSkoiMjKRq1arUq1evpMsRERF5qqmHVUSkhFlZWWFnZ4e1tfUTOd6NGzeeyHFEREREHpYCq4hICfvjc5F3f//111/Tp08fmjdvTvfu3Vm0aJHJtr6+vly4cIF9+/bh6+tr/C8pKQkAf39/Bg8ezK+//sqIESNo06YNL7/8snH7ffv2MXz4cNq0aUOLFi145ZVXWLNmjVmNgwcPxt/fn+TkZN5++23atm1LixYtGDFiBKdPn36k1+O7775j0KBBtG7dmhYtWjBgwAC+//57s3a+vr5MmjSJn376icGDB9OyZUvatWvHBx98QEZGhln7xMREQkJCaNGiBZ06dWLatGn89ttvJs/SxsXFMXToUAAmT55svJ6DBw8229+D7o2IiIg8PA0JFhGxUKtXr+bq1asEBATg6OjI+vXr+eyzz3B1daVz584AvP/++3zyySc4OTkxcOBA47bOzs7Gr3///XeGDRtG+/bteeGFF4xhbvv27bz55pu4uLgQHByMvb093333HVOmTOH8+fOEhYWZ1HPz5k1CQ0Np2LAhYWFhnD9/ni+//JI33niDFStWPJIe4tmzZ7NgwQL+9re/MXToUKysrNiyZQvjxo1j7Nix9OnTx6T90aNH+ec//4m/vz+dOnUiMTGR2NhYrKyseOedd4ztDhw4wIgRIyhXrhwDBgzA0dGRjRv/f/buPCyqsv8f+HvYV0HAAFnU0HBBH3HAHUTFjU1RNC3LMHE3cytbvoo9dtlqrglShqKWG8qimKSCYSogamrmjmyigoIssgxzfn/4m/MwzYCAKJjv13V5xdxzn/t8zpwz03zmXk48zp07p9Ses7MzAgMD8dNPP8Hf3x/Ozs4AADMzM6V6dTk3RERE9PSYsBIRNVO5ubnYvXs3jIyMAAAjR46Ej48PduzYISZFXl5e2LBhA8zMzODl5aW2nezsbHz66acYNWqUWFZVVYWvvvoK+vr62Lx5M1q1agUAGDduHKZNm4bNmzfD19cX9vb24jYFBQV46623MGnSJLGsZcuWWLNmDZKTk9GnT5+nOt6///4bmzZtQmBgoFKyPH78eCxYsADr16+Ht7c3DA0NxeeuXr2Kn376CU5OTgCAMWPGoKSkBNHR0Zg3bx4MDAwAACtXroREIsGPP/4IW1tbAMDYsWNVek5tbW3Rq1cv/PTTT+jWrVuNr2ldzg0RERE9PQ4JJiJqpnx9fcWECAD09PTQtWtXZGRk1KsdExMTlQWZLl26hNzcXPj5+YnJKgBoa2vj7bffhlwuR2JiotI2GhoaGD9+vFKZq6srANQ7JnXi4uIgkUjg7e2NgoICpX/u7u4oKSnB+fPnlbbp2rWrmKxWj6mqqkocFp2fn4+//voLAwYMEJNVANDS0lIaHl0fjXVuiIiIqHbsYSUiaqZsbGxUykxMTFBYWFjvdv45XFeRzL366qsq9R0cHAA87pmtrlWrVtDV1VWJB0C9Y1Ln5s2bEAQBAQEBNdbJz89XelzTa1Q9JsWxtmnTRqWuurK6aKxzQ0RERLVjwkpE1Ew11qrBenp6jdKOhkbNg3IEQWiUfUgkEqxZs6bGfSmSaYXaXqPGikmd57WiMxER0cuOCSsR0QtOIpHUextFD+GNGzdUnlOUqetFfJbs7Ozwxx9/wMrKCu3atWu0dq2trQFA7WrG6soa8noSERHRs8E5rERELzh9fX08fPiwXtt07NgRVlZWiImJQV5enlguk8kQEREBiUSCAQMGNHaotVIscLR+/XpUVVWpPP/P4cB1ZWFhgc6dOyMxMRFZWVliuUwmw88//6xSX7FQE4f3EhERNT32sBIRveC6du2KqKgobNiwAe3atYNEIoG7uzv09fVr3EZTUxMffPABFi1ahEmTJsHf3x8GBgaIj4/H+fPnERgYqLRC8PPQpUsXTJ06FRs3bsQbb7wBT09PtGrVCnl5ebh06RKOHz+OkydPNqjtuXPnYtasWXj33XcREBAAIyMjxMfHQyaTAVDuVW3Xrh0MDQ2xe/du6OnpwdjYGGZmZuICU0RERPT8MGElInrBzZw5E4WFhdi1axeKioogCAKio6NrTVgBwN3dHd9//z1+/PFHREREoLKyEm3btlW5Bc7zNHXqVHTu3Bm//PILfv75Zzx69AhmZmZwcHDAwoULG9yuVCrF2rVrsX79evz0008wNjbGkCFDMHz4cLzzzjtKi0np6enh888/x4YNG7By5UpUVFSgR48eTFiJiIiagER4lqtSEBERNWOHDx/Ghx9+iM8//xzDhg1rkhgk38jqXFdYyN+ZiYjo5cI5rERE9K8nCALKy8uVymQyGbZt2wZNTU1IpdImioyIiIhqw59qiYioUVRVVeHBgwdPrGdiYgJtbe3nENH/VFRUwNfXF8OHD0ebNm1QWFiI+Ph4XL16FZMmTYKFhcVzjYeIiIjqhgkrERE1ijt37sDPz++J9UJCQuDi4vIcIvofLS0t9OvXD4mJieKqyG3atMGHH36IsWPHPtdYiIiIqO44h5WIiBpFeXk5zp49+8R6nTp1QosWLZ59QC8IzmElIiKqGf/PR0REjUJXVxe9evVq6jCIiIjoX4SLLhEREREREVGzxB5WIiKiJhTaYhMCAwOf+0JURERELwL2sBIREREREVGzxISViIiIiIiImiUmrERERERERNQsMWElIiIiIiKiZokJKxERERERETVLTFiJiIiIiIioWWLCSkRERERERM0SE1YiIiIiIiJqlpiwEhERERERUbPEhJWIiIiIiIiaJSasRERERERE1CwxYSUiIiIiIqJmSSIIgtDUQRAREb2sJN/IVMqEhVpNEAkREVHzwx5WIiIiIiIiapaYsBIREREREVGzxISViIiIiIiImiUmrERERERERNQsMWElIiIiIiKiZokJKxERERERETVLTFiJiJ5CTEwMXFxckJqaKpalpqbCxcUFMTExTRhZ/QQHB8PFxaWpwyAiIiJSwhu9ERGRWgkJCbh8+TKmTZv23PZZXl6O6OhoHD58GNeuXUNRURH09fVhb28PFxcX+Pn5oW3btpg6dSrS0tLq1ObSpUvh6+tba501a9Zgy5YtsLOzw969e2ute+XKFezcuRNpaWm4e/cu5HI5zMzM0KlTJ3h4eGDYsGHQ0uL/XomIiBqDRBAEoamDICJ6UcXExGDZsmUICQkReyjlcjkqKyuhpaUFTU3NJo6wbmQyGaqqqqCrqyuWBQcHIzY2Vqn3+FnKysrCvHnzcPPmTfTo0QO9e/eGhYUFSktLceXKFRw7dgwPHz5EbGwsbty4gfv374vbFhQUYOXKlXB2doa/v79Su926dYOtrW2N+5XJZPD29oa+vj6ysrIQGhoKqVSqtu6mTZsQEhICY2NjDB06FA4ODtDS0sLdu3eRnJyMs2fPwt/fH5988kmdj1vyjUylTFjIhJeIiAhgDysRUaPT0NBQSvxeBFpaWk3aK1hWVob3338fWVlZ+PrrrzFw4ECVOuXl5di+fTskEgl69+6t9FxOTg5WrlwJGxsbeHl51WvfSUlJyM/Px4YNG/DJJ58gOjpabcIaExOD77//Hj179sRXX30FIyMjpeenTp2Ky5cv49y5c/XaPxEREdWMCSsRvVTKy8sRHh6OX3/9FXfu3IG2tjYsLS3Rt29fzJ07FwDg4uICHx8fjBgxAhs2bMDVq1dhZGSEIUOGYObMmTAwMKh1H6mpqZg+fbrKUFRBELBv3z7s27cPN27cAAC0bt0aAwcOxPTp08V6FRUV2Lp1Kw4ePIisrCzo6OjA2dkZ06ZNQ8eOHet9zLGxsdi5cycyMjIgk8lgbm6Orl27YsGCBWjZsiUA1d7U6kNuq89trX5MeXl5CAsLExM+U1NTuLm5YcaMGTAzM6tXjPv27UN6ejoCAwPVJqsAoKuri8DAwHoff0FBAQoKCmBhYaGSZAJAVFQUbGxs4OLiguHDhyMyMhKLFi1SqltZWYn169fD0NAQK1asUNsOADg6OsLR0bHeMRIREZF6TFiJ6KXy5ZdfIjo6Gt7e3njzzTdRVVWFzMxMpKSkKNX7+++/cfjwYYwaNQre3t5ITU3FL7/8guvXr2P9+vXQ0Kj/mnVLlixBXFwcnJycMHnyZBgbGyM9PR2HDx8WE1aZTIY5c+bgzz//hJeXF8aNG4fi4mLs3bsX7777LsLCwtC5c+c673P//v0IDg6Gs7Mzpk+fDl1dXdy5cwfHjx/H/fv3xYT1nyZPngxBEHDmzBl89tlnYnm3bt0AALm5uQgMDERlZSVGjhwJW1tbZGZmYs+ePUhNTUVERESNSZ06R44cAQCMGjWqztvU1Y4dOxAWFqZ2LmteXh7++OMPvPvuu5BIJPD19cX27dtx6NAhjB49Wqx37tw55OXlwdvbGyYmJo0eIxEREanHhJWIXioJCQno27cvli1bVmu9a9eu4ZtvvoGHhwcAYOzYsfjmm2/wyy+/ID4+HsOGDavXfuPj4xEXF4cRI0Zg2bJlSgmvXC4X/96xYwdOnz6NtWvXok+fPmJ5QEAAXn/9daxatQobN26s834TEhJgaGiIDRs2KA35rd6jq07v3r1x8OBBnDlzRu0Q26+++goymQzbtm2DpaWlWO7p6YnAwEBs27atXos1Xb9+HYaGhrCxsVEqr6qqQlFRkVKZnp4e9PT06tx2bWJjYyGXy+Ht7Q0A6NChA1577TVERUUpJazXrl0DALz22msqbZSUlKCyslKpzNTUtFHiIyIietnxtjZE9FIxMjLCjRs3xASkJm3atBGTVYV33nkHwOMksL7i4uIAAO+//75K72z1x3FxcWjbti06deokDmUtKCiATCZDr169cO7cOZSVldV5v0ZGRigrK0NSUhIaa4294uJiJCUlwd3dHbq6ukpxtm7dGra2tjh16lS921TXI3vz5k14enoq/du1a1e92p42bRpSU1PVrhQcHR0NZ2dnpUTZ19cXFy9exPXr18WykpISAIChoaFKG8uWLVOK70krEhMREVHdsYeViF4q8+fPx9KlSzF+/Hhx3qKbmxvc3d2VEsd27dqpbGthYQFjY2NkZ2fXe7+ZmZmwsLCAubl5rfVu3ryJ8vJyeHp61linoKAAVlZWddpvYGAg0tLSsHDhQpiYmKBHjx7o168fhgwZojb5qov09HTI5XJERUUhKipKbZ1/9pQ+iZGREYqLi9W2s379egDA1atXsWrVqnrHW5MzZ84gIyMDXl5eyMzMFMudnJygoaGBqKgozJ8/H8D/ElVF4lrd1KlTMWbMGADAqlWrkJWV1WgxEhERveyYsBLRS8XDwwPR0dE4fvw40tLSkJycjKioKDg7O+P777+HtrZ2U4eI9u3bY968eTU+X9O8U3Xs7e2xa9cuJCcnIyUlBWlpaVi+fDlCQ0MRFhZW6+1enmTEiBHw8fFR+1x9V0l2cHBAWloasrOzlZJdfX199OrVCwAa/RZBimQ7JCQEISEhKs/HxcXhvffeg5aWFtq3bw/g8T1Y/6l9+/bi88bGxo0aIxER0cuOCSsRvXRMTEzg5eUFLy8vCIKAtWvXYsuWLUhMTBR7Nm/evKmyXV5eHoqKiurdewg8ThwTExORn59fay+rnZ0dHjx4AFdX1wYt7KSOjo4O+vfvj/79+wN4fBuX999/H9u2bcOHH35Y43YSiURtua2tLSQSiThMuTEMGjQIaWlp2LdvH2bNmtUobdampKQEhw8fRq9evVTu2wo8nrP6ww8/IDExEYMHD8Z//vMfmJubIyEhAQUFBZyjSkRE9JxwDisRvTTULeAjkUjE25AUFhaK5bdu3VKZq7p582YAwIABA+q97xEjRgAA1qxZo7TIEgCluaXe3t7Iz8/Htm3b1LaTn59fr/0WFBSolClujVP9eNXR19dXW8/U1BT9+vXDkSNHcP78eZXtBEHAgwcP6hXnqFGj0LZtW0RERODo0aP12vZJCgoKkJ6erjTk+NChQ3j06BHGjBmjMkfW09MT77zzDvT09BAdHQ0A0NbWxqxZs1BSUoKPP/5Y7fBlIiIianzsYSWil0ZpaSmGDx8Od3d3ODo6omXLlsjJycHu3bvRokULuLu7i3Xbt2+P//u//8OoUaNgb2+P1NRUHD58GD169MDQoUPrvW9PT08MGTIE+/fvR2ZmJtzd3WFsbIyMjAycOHECO3fuBABMmDABp06dwurVq5GSkgJXV1cYGhoiNzcXKSkp0NHRQWhoaJ33O2vWLBgbG8PZ2RmWlpYoKipCTEwMJBKJ2tV/q+vatSt27tyJL774Av3794eWlhacnJxgY2ODxYsXY8qUKQgKCoK3tzccHR0hl8uRnZ2NY8eOwcvLq16rBOvp6WHVqlWYN28eFi1aBKlUit69e8Pc3BwlJSVIT09HfHw8NDU1lVYlrgt1t7WJioqCnp4e+vbtW2M8ffv2RWJiIu7evYtXXnkFfn5+uHfvHkJCQjBy5EgMHToUDg4O0NLSQl5eHk6ePImzZ8/CwcGhXvERERFRzZiwEtFLQ09PDxMmTEBycjKSk5NRWloKCwsLuLu7IzAwEK1atRLrduzYEfPmzcP333+PyMhIGBoaYty4cZg1a1aDh+p+/vnncHZ2RlRUFMLCwqCpqYnWrVsrLbCkpaWFVatWYffu3Thw4ICYnLZq1QpdunSpcc5oTQICAhAfH4/IyEgUFhbCxMQEjo6O+OCDD+Di4lLrtsOGDcPly5dx6NAhHD58GHK5HEuXLoWNjQ2srKywdetWbN68GYmJiYiLi4OOjg4sLS3h5uaGIUOG1Pv1sbW1RUREBKKjo3H48GFs3boVxcXF0NfXh52dHUaOHImRI0eibdu29W67uuvXr+PChQsYOHBgrbfHGTRoEI4cOYLY2FhMnjwZAPDuu++if//+2LlzJ06ePIno6GgIgoCWLVuiU6dO+Oyzzxr0gwYRERGpJxEa6z4HRET/Ei4uLvDx8UFwcHBTh0IvAck3MpUyYSF/TyYiIgI4h5WIiIiIiIiaKf6ES0T0AsrLy3tiHSMjo1qHvD5rlZWVT1zYCXh8m57GvmUNERER/TswYSUiegENHz78iXWqLzLUFM6dO4fp06c/sV50dDRat279HCIiIiKiFw3nsBIRvYBOnTr1xDoODg6wsLB4DtGo9/DhQ1y6dOmJ9bp37w5dXd3nEFHzxDmsRERENWPCSkRE1ISYsBIREdWMiy4RERERERFRs8SElYiIiIiIiJoljjkiIiJqQqEtNiEwMBDa2tpNHQoREVGzwx5WIiIiIiIiapaYsBIREREREVGzxISViIiIiIiImiUmrERERERERNQsMWElIiIiIiKiZokJKxERERERETVLTFiJiIiIiIioWWLCSkRERERERM0SE1YiIiIiIiJqlpiwEhERERERUbPEhJWIiIiIiIiaJYkgCEJTB0FERPSyknwjE/8WFmo1YSRERETND3tYiYiIiIiIqFliwkpERERERETNEhNWIiIiIiIiapaYsBIREREREVGzxISViIiIiIiImiUmrERERERERNQsMWElIiIiIiKiZokJKxFRPcTExMDFxQWpqaliWWpqKlxcXBATE9OEkdVPcHAwXFxcmjoMIiIiolrxDuVERAQASEhIwOXLlzFt2rTnts/y8nJER0fj8OHDuHbtGoqKiqCvrw97e3u4uLjAz88Pbdu2Vdnu4cOH2LFjB37//XdkZGSgrKwMZmZm6NKlC0aMGIGBAwdCIpHUOY41a9Zgy5YtsLOzw969e2ute+XKFezcuRNpaWm4e/cu5HI5zMzM0KlTJ3h4eGDYsGHQ0uL/XomIiBqDRBAEoamDICJ6UcTExGDZsmUICQkReyjlcjkqKyuhpaUFTU3NJo6wbmQyGaqqqqCrqyuWBQcHIzY2Vqn3+FnKysrCvHnzcPPmTfTo0QO9e/eGhYUFSktLceXKFRw7dgwPHz5EbGwsXnnlFXG7CxcuYMGCBXjw4AHc3d3Ro0cPGBoa4t69ezh+/DjOnz+PDz/8EGPHjq1THDKZDN7e3tDX10dWVhZCQ0MhlUrV1t20aRNCQkJgbGyMoUOHwsHBAVpaWrh79y6Sk5Nx9uxZ+Pv745NPPqnz6yD5Rib+LSxkoktERFQd/89IRPSUNDQ0lBK/F4GWllaT9gKWlZXh/fffR1ZWFr7++msMHDhQpU55eTm2b9+u1FOal5eH+fPno7y8HBs3bkT37t2VtpkyZQpOnDiBhw8f1jmWpKQk5OfnY8OGDfjkk08QHR2tNmGNiYnB999/j549e+Krr76CkZGR0vNTp07F5cuXce7cuTrvm4iIiGrHhJWI/tXKy8sRHh6OX3/9FXfu3IG2tjYsLS3Rt29fzJ07FwDg4uICHx8fjBgxAhs2bMDVq1dhZGSEIUOGYObMmTAwMKh1H6mpqZg+fTqWLl0KX19fsVwQBOzbtw/79u3DjRs3AACtW7fGwIEDMX36dLFeRUUFtm7dioMHDyIrKws6OjpwdnbGtGnT0LFjx3ofc2xsLHbu3ImMjAzIZDKYm5uja9euWLBgAVq2bAlAtTd16tSpSEtLE18PherHlJeXh7CwMDHBMzU1hZubG2bMmAEzM7N6xbhv3z6kp6cjMDBQbbIKALq6uggMDFQqi4iIwP3797F48WKVZFWhT58+So8LCgpQUFAACwsLlSQTAKKiomBjYwMXFxcMHz4ckZGRWLRokVLdyspKrF+/HoaGhlixYoXadgDA0dERjo6OtR06ERER1QMTViL6V/vyyy8RHR0Nb29vvPnmm6iqqkJmZiZSUlKU6v399984fPgwRo0aBW9vb6SmpuKXX37B9evXsX79emho1H+NuiVLliAuLg5OTk6YPHkyjI2NkZ6ejsOHD4sJq0wmw5w5c/Dnn3/Cy8sL48aNQ3FxMfbu3Yt3330XYWFh6Ny5c533uX//fgQHB8PZ2RnTp0+Hrq4u7ty5g+PHj+P+/ftiwvpPkydPhiAIOHPmDD777DOxvFu3bgCA3NxcBAYGorKyEiNHjoStrS0yMzOxZ88epKamIiIiosYkTp0jR44AAEaNGlXnbRTbaWtrw8fHp87b7NixA2FhYSo/KACPk/A//vgD7777LiQSCXx9fbF9+3YcOnQIo0ePFuudO3cOeXl58Pb2homJSb1iJiIiooZjwkpE/2oJCQno27cvli1bVmu9a9eu4ZtvvoGHhwcAYOzYsfjmm2/wyy+/ID4+HsOGDavXfuPj4xEXF4cRI0Zg2bJlSgmvXC4X/96xYwdOnz6NtWvXKvUMBgQE4PXXX8eqVauwcePGOu83ISEBhoaG2LBhg9KQ3+o9uur07t0bBw8exJkzZ+Dl5aXy/FdffQWZTIZt27bB0tJSLPf09ERgYCC2bdtWr8Warl+/DkNDQ9jY2CiVV1VVoaioSKlMT08Penp6KCkpwe3bt9G+fXvo6enVeV+1iY2NhVwuh7e3NwCgQ4cOeO211xAVFaWUsF67dg0A8Nprr6m0UVJSgsrKSqUyU1PTRomPiIjoZcfb2hDRv5qRkRFu3LghJhw1adOmjZisKrzzzjsAHieB9RUXFwcAeP/991V6Z6s/jouLQ9u2bdGpUydx6GpBQQFkMhl69eqFc+fOoaysrM77NTIyQllZGZKSktBYa+oVFxcjKSkJ7u7u0NXVVYqzdevWsLW1xalTp+rdproe2Zs3b8LT01Pp365duwA8TgwBwNDQsF77mjZtGlJTU1V6VwEgOjoazs7OSomzr68vLl68iOvXr4tlte172bJlSvGq2w8RERE1DHtYiehfbf78+Vi6dCnGjx8vzlN0c3ODu7u7UuLYrl07lW0tLCxgbGyM7Ozseu83MzMTFhYWMDc3r7XezZs3UV5eDk9PzxrrFBQUwMrKqk77DQwMRFpaGhYuXAgTExP06NED/fr1w5AhQ+qd6Cmkp6dDLpcjKioKUVFRauv8s6f0SYyMjFBcXKy2nfXr1wMArl69ilWrVonPKeIvLS2t175qcubMGWRkZMDLywuZmZliuZOTEzQ0NBAVFYX58+cr7VuRuFY3depUjBkzBgCwatUqZGVlNUp8RERExISViP7lPDw8EB0djePHjyMtLQ3JycmIioqCs7Mzvv/+e2hrazd1iGjfvj3mzZtX4/M1zTtVx97eHrt27UJycjJSUlKQlpaG5cuXIzQ0FGFhYbC1tW1wnCNGjKhx7mh9V0l2cHBAWloasrOzlZJdfX199OrVCwBUbhFkaGgIa2trpKeno6ys7KmHBSuS75CQEISEhKg8HxcXh/feew9aWlpo3749gMf3YP2n9u3bi88bGxs/VUxERESkjAkrEf3rmZiYwMvLC15eXhAEAWvXrsWWLVuQmJgo9mzevHlTZbu8vDwUFRXVu/cQeJw4JiYmIj8/v9ZeVjs7Ozx48ACurq4NWthJHR0dHfTv3x/9+/cH8Pi2Le+//z62bduGDz/8sMbtqt8+pjpbW1tIJBJxmHJjGDRoENLS0rBv3z7MmjWrztsNHDgQ27dvx4EDB5TmmNZXSUkJDh8+jF69esHf31/l+WvXruGHH35AYmIiBg8ejP/85z8wNzdHQkICCgoKOEeViIjoOeEcViL611K3gI9EIhFvO1JYWCiW37p1S2Wu6ubNmwEAAwYMqPe+R4wYAQBYs2aN0iJLAJTmlnp7eyM/Px/btm1T205+fn699ltQUKBSprg1TvXjVUdfX19tPVNTU/Tr1w9HjhzB+fPnVbYTBAEPHjyoV5yjRo1C27ZtERERgaNHj9Z5u7fffhstW7bEmjVr8Oeff6qtc/LkSfz666/i44KCAqSnpysNQT506BAePXqEMWPGqMyZ9fT0xDvvvAM9PT1ER0cDALS1tTFr1iyUlJTg448/VjucmYiIiBofe1iJ6F+rtLQUw4cPh7u7OxwdHdGyZUvk5ORg9+7daNGiBdzd3cW67du3x//93/9h1KhRsLe3R2pqKg4fPowePXpg6NCh9d63p6cnhgwZgv379yMzMxPu7u4wNjZGRkYGTpw4gZ07dwIAJkyYgFOnTmH16tVISUmBq6srDA0NkZubi5SUFOjo6CA0NLTO+501axaMjY3h7OwMS0tLFBUVISYmBhKJRO3qv9V17doVO3fuxBdffIH+/ftDS0sLTk5OsLGxweLFizFlyhQEBQXB29sbjo6OkMvlyM7OxrFjx+Dl5VWvVYL19PSwatUqzJs3D4sWLYJUKkXv3r1hbm6OkpISpKenIz4+HpqamkqrEltYWOC7777DggULMGXKFAwYMAA9evSAoaEh7t27hxMnTuDs2bNYvHixuI2629pERUVBT08Pffv2rTG+vn37IjExEXfv3sUrr7wCPz8/3Lt3DyEhIRg5ciSGDh0KBwcHaGlpIS8vDydPnsTZs2fh4OBQ59eBiIiIaseElYj+tfT09DBhwgQkJycjOTkZpaWlsLCwgLu7OwIDA9GqVSuxbseOHTFv3jx8//33iIyMhKGhIcaNG4dZs2Y1eKju559/DmdnZ0RFRSEsLAyamppo3bq10gJLWlpaWLVqFXbv3o0DBw6IyWmrVq3QpUuXet1vFHh8O5z4+HhERkaisLAQJiYmcHR0xAcffAAXF5datx02bBguX76MQ4cO4fDhw5DL5Vi6dClsbGxgZWWFrVu3YvPmzUhMTERcXBx0dHRgaWkJNzc3DBkypN6vj62tLSIiIhAdHY3Dhw9j69atKC4uhr6+Puzs7DBy5EiMHDkSbdu2VdrOyckJO3fuxI4dO/D7778jJCQE5eXlMDMzg5OTE7799ttae8WvX7+OCxcuYODAgbXOgx00aBCOHDmC2NhYTJ48GQDw7rvvon///ti5cydOnjyJ6OhoCIKAli1bolOnTvjss88a9AMHERERqScRGuu+B0RELygXFxf4+PggODi4qUOhl5DkG5n4t7CQvyMTERFVxzmsRERERERE1Czxp1wiohdAXl7eE+sYGRk99a1enkZlZeUTF3YCHt+m55+3rCEiIiJShwkrEdELYPjw4U+sU31RoaZw7tw5TJ8+/Yn1oqOj0bp16+cQEREREb3oOIeViOgFcOrUqSfWcXBwgIWFxXOIRr2HDx/i0qVLT6zXvXt36OrqPoeIXgycw0pERFQzJqxERERNiAkrERFRzbjoEhERERERETVLTFiJiIiaUGiLTaiYK7B3lYiISA0mrERERERERNQsMWElIiIiIiKiZokJKxERERERETVLTFiJiIiIiIioWWLCSkRERERERM0SE1YiIiIiIiJqlpiwEhERERERUbPEhJWIiIiIiIiaJSasRERERERE1CwxYSUiIiIiIqJmiQkrERERERERNUtMWImIiIiIiKhZYsJKREREREREzRITViIiIiIiImqWmLASERERERFRs8SElYiIiIiIiJolJqxERERERETULDFhJSIiIiIiomaJCSsRERERERE1S0xYqckVFBRgyZIlGD58OFxcXDB16tSmDonqITg4GC4uLs+k7ZycHLi4uCA0NPSZtP+imjp1Knx9fZs6DCIiIqJnTqupA6AX2+XLl5GQkABfX1+0bt26QW189913iI+Px+TJk2FjYwMzM7NGjlJZTEwMioqK8MYbbzzT/dCzUVRUhO3bt0MqlT6zRBkAQkNDERYWVqe6Pj4+CA4OfmaxUNNJTU3F6dOn8cYbb8DY2LipwyEiInrpMGGlp3LlyhWEhYVBKpU2OGE9deoUevfujaCgoEaOTr2YmBjcvn2bCesLwNraGsePH4empqZYVlRUJCaSzzJhHTRoEOzs7JTKVq5cCQCYP3++Urmtre0zi4Oa1unTpxEWFgZfX18mrERERE2ACWszUFVVhcrKSujp6TV1KE0iPz8fJiYmTR1Go3jZz2Vjk0gk0NXVbZJ9d+jQAR06dFAq27BhAwDAy8urKUJ6YclkMlRVVTXZuSQiIqIXFxPW5ywmJgbLli3D+vXrcf78ecTExCA3NxeffvopfH19IQgC9uzZg3379uHmzZvQ0NBA586dERQUpNSblJOTAz8/PwQFBaFNmzYIDw9HRkYGWrZsCT8/P7z77rvQ0lI+vXl5eQgLC0NSUhLy8/NhamoKNzc3zJgxQ2kY7r1797B161akpKTg9u3bKC8vh42NDby9vfHWW2+JvV3Vh0xOnz5d3L6uwyOrbx8bG4vY2FgAwNKlS8X5eadOncKWLVtw8eJFVFRUwN7eHgEBAQgICFBq6+TJk4iKisJff/2FvLw8aGtro0uXLpg8eTKkUqlYz9fXF7dv3wag3DsXEhICFxcX+Pr6wtraGhs3blRqPzU1FdOnT1eKrbHOpeL4d+7ciYyMDMhkMpibm6Nr165YsGABWrZs+cTXsrq6nmfF6797927s378f+/fvx4MHD9C2bVvMmjUL/fv3V2q3vLwcISEhiIuLQ1FRERwcHDBz5sx6xVZdbm4uQkNDkZKSgvz8fBgZGcHOzg6jR4+Gj48PAOXrfNq0aeJ5AICwsDDx+rG2tkZMTIzY9qFDh7Bjxw5cvXoVVVVVaN++Pd566y14eno2ON6aXLhwAbt378aff/6JO3fuQFNTU9zfwIEDleoGBwcjNjYWCQkJWLt2LY4cOYKSkhJ07NgR8+fPh5OTk1L9hw8fYs2aNTh69CjKy8vRuXNnzJs3r8ZY/vrrL2zatAlnzpxBaWkprK2t4e3tjUmTJil9HkydOhW3b99GaGgoVq5cidTUVEgkEgwYMAAffPAB9PT0EB4ejn379iEvLw/t2rXDokWL0L179ye+HorraseOHYiKisJvv/2GvLw8fP/993BxcUFFRQW2bt2KgwcPIisrCzo6OnB2dsa0adPQsWNHsZ3q77mSkhLs3LkTubm5sLKywrhx4zB+/HiVfWdkZCAsLAzJyckoLCxEq1at4OnpialTp0JfX1+sl56ejl9++QVpaWnIzc1FVVUV2rVrh4CAAIwaNUrlfAGAn5+fWK64HgsLC/HDDz/g2LFjuHfvHvT19WFtbY2hQ4fi7bfffuJrRURERE/GhLWJrF69GjKZDP7+/jA0NESbNm0AAEuWLMGvv/6KwYMHw9fXF5WVlYiLi8OsWbPw1VdfYcCAAUrtHDt2DNnZ2Rg7dizMzc1x7NgxhIWFITc3F0uXLhXr5ebmIjAwEJWVlRg5ciRsbW2RmZmJPXv2IDU1FRERETAyMgIAXL16FUePHoWHhwdsbW0hk8lw4sQJrFu3DtnZ2fjkk08APB4ymZeXh7179yIwMBDt2rUDUPfhkYohl0uWLIGzszP8/f0BAN26dQMAREZGYsWKFejatSsmT54MfX19nDp1Cl988QWys7Mxd+5csa2YmBgUFhbCy8sLlpaWuHv3LqKiojBz5kyEhITA2dkZALBgwQKsW7cOBQUFSsM6FbE3xNOey/379yM4OBjOzs6YPn06dHV1cefOHRw/fhz379+vV8Jan/OsEBwcDC0tLUycOBGVlZX4+eefsXDhQkRGRioN8/7kk0+QkJAANzc39OnTB1lZWVi0aFGDhoLLZDLMmjUL9+7dQ0BAAOzt7VFcXIxr167hzJkzYsL6T+3atcP8+fOxcuVKDBw4UEwIDQwMxDrff/89Nm3ahL59+2L69OnQ0NDA0aNHsXjxYnzwwQcYN25cveOtTUJCAtLT0+Hp6Qlra2sUFhYiNjYWixYtwvLlyzF8+HCVbWbPno2WLVtiypQpKCwsxLZt2zB37lxER0fD0NBQfI1mz56Nv/76C15eXujatSuuXLmCmTNnqh2RkJSUhEWLFsHOzg4TJ05EixYtcP78eYSGhuLKlSv48ssvleo/evQIM2bMQI8ePcT9REdHo7y8HKamprhw4QLGjRsHmUyGrVu3Yv78+YiJiRHje5L/+7//g66uLt58801IJBJYWFhAJpNhzpw5+PPPP+Hl5YVx48ahuLgYe/fuxbvvvouwsDB07txZqZ0dO3YgPz8fo0ePhoGBAX799Vd88803ePjwodICbZcuXcL06dNhbGyM0aNH45VXXsGVK1fwyy+/4Ny5c9i4caOYtKempiItLQ39+/dH69atUVZWht9++w3Lly/HgwcPEBgYCAAYPXo0SkpKcPToUcyfPx+mpqYAIPa8L168GGlpaRgzZgw6dOiA8vJy3Lx5E6dPn2bCSkRE1FgEeq6io6MFqVQq+Pv7C48ePVJ67siRI4JUKhX27NmjVF5ZWSlMnDhR8PX1FeRyuSAIgpCdnS1IpVLB1dVVuHTpklhXLpcLCxYsEKRSqfDnn3+K5fPmzRM8PT2F3NxcpbYvXrwo9OzZUwgJCRHLHj16JO6nuk8//VRwdXUV7t27p3I8KSkpDXg1HpNKpcLSpUuVyu7duyf06dNH+Pjjj1Xqf/3114Krq6uQmZkplpWWlqrUy8vLEwYNGiTMmTNHqTwoKEjw8fFRG4uPj48QFBSkUp6SkiJIpVIhOjpaLGusc7lw4ULB3d1dqKysVBtTfdTnPIeEhAhSqVSYO3eu0vm+cOGCIJVKhbVr14plJ06cUHuejh49KkilUkEqldYrzitXrghSqVQIDw+vtZ7iOq8et7oyhUuXLglSqVRYt26dynPz588X3N3dheLi4nrFWp2Pj4/KtaPu2nv06JHg7+8vBAQEKJUvXbpUkEqlwooVK5TK4+PjBalUKuzevVss27Nnj9rj3LZtmyCVSpXiKCsrE4YOHSpMmTJF5TraunWryns0KChIkEqlwubNm5XqLly4UHBxcREmTpyo1E5CQoJKfDVRXFdBQUE1xvLHH38olRcVFQleXl5K7z3Fe87NzU3peq6oqBDeeustoWfPnkrl48ePF0aPHq1yfhXvxervXXXnrKqqSggKClJ5LyqOJzs7WyVmdeeyIUJDQ4WKioqnboeIiOjfiLe1aSIBAQEq8xwPHDgAQ0NDeHh4oKCgQPxXXFwMNzc35OTkICMjQ2mbXr16KQ2jk0gk4i/7R48eBQAUFxcjKSkJ7u7u0NXVVWq7devWsLW1xalTp8Q29PT0IJFIAACVlZUoLCxEQUEB+vTpA7lcjr/++uuZvCbV/fbbb6ioqMDIkSOV4i0oKICbmxvkcjmSk5PF+tWH+5WWlqKgoACamppwcnLCxYsXn2msT3sujYyMUFZWhqSkJAiC0OA46nueFcaPHy+ebwDo0qULDAwMlK61hIQEAMBbb72ltK2Hh4fYo1wfil7e06dP4/79+/XeviZxcXGQSCTw9vZWuW7c3d1RUlKC8+fPN9r+AOVrr6ysDAUFBSgrK4Orqytu3ryJ4uJilW3+ueCXYoh4ZmamWJaQkABNTU28+eabSnUDAgJUejlPnTqF/Px8+Pr6ori4WOm4+/XrJ9apTlNTE6+//rpSWffu3SEIAsaMGaM0hFgxQqF6fE/yxhtvqExLiIuLQ9u2bdGpUyelGGUyGXr16oVz586hrKxMaZvhw4fD0tJSfKytrY033ngDVVVV+P333wEA165dw9WrVzF8+HBUVlYqtd29e3fo6+vj5MmTYhvVz1l5eTkKCgrw8OFD9O7dGyUlJUhPT3/i8enq6kJHRwcXLlxATk5OnV8XIiIiqh8OCW4i9vb2KmXp6ekoKSnB0KFDa9zu/v37SglC27ZtVeq8+uqrAIDs7GyxXblcjqioKERFRalt18bGRvxbJpMhPDwcBw4cQGZmpkoS9fDhw5oPrJEovjDWNkeyeqKTlZWF9evX4+TJkygqKlKqVz0Zexae9lwGBgYiLS0NCxcuhImJCXr06IF+/fphyJAhdR5+qdhnfc6zgroh3CYmJigsLBQfZ2dnQ0NDQ21y2q5dO9y6davOcQKP55xOnjwZ4eHhGD58OF577TW4urrC09MTXbp0qVdb1d28eROCIKjMca4uPz+/we2rc//+fWzYsAGJiYlqk+/i4mKVYdj/PA+Koab/fM0tLCxUttXR0YGNjY3SdX7z5k0AwGeffVZjnP88bgsLC5VFkFq0aAEAKsO8FeXV43sSde+Lmzdvory8vNa5xAUFBbCyshIfqxuu/8/POMXxh4aG1njP3urnprS0FBs3bkR8fDzu3LmjUrcun3Ha2tqYP38+vv32W/j5+eHVV1+Fi4sLPDw80LNnzyduT0RERHXDhLWJqFtFVhAEtGzZEsuXL69xOwcHhwbvc8SIETXODaz+xfW7777Djh07MGTIEEyePBktW7aElpYW/v77b6xdu/apegHrSrGPZcuWwcLCQm0dxZf+0tJSBAUF4dGjR5gwYQLat28PQ0NDSCQShIeHIyUlpc77rSm5raqqqnGbpz2X9vb22LVrF5KTk5GSkoK0tDQsX75cXLymvrdMqet5VtDQUD/Q4lmf55kzZ8LPzw9JSUk4e/YsoqKiEBERgbfffhvvvfdeg9uVSCRYs2ZNjcf1NO+hfxIEAbNnz8bNmzcxfvx4dO7cGUZGRtDQ0EBMTAwOHjwIuVyusl312/T8s72GxgEAc+fOxWuvvaa2TqtWrZQe1/T61PZcfeKraaXs9u3b17pwVH0XGase18SJE9GnTx+1dRRJN/B4PnZSUhL8/f3Ro0cPmJiYQENDA8ePH8f27dvVnjN1AgIC4OHhgaSkJJw+fRqHDx/Gzp07MWTIEKxYsaLex0FERESqmLA2I3Z2dsjIyEDXrl2VFpGpjbqhazdu3ADwv4TO1tYWEolEHHb3JAcOHECPHj1UvnCpGw74rHovFfe/NDU1fWLMycnJuHfvHpYsWaK0kifwv9uQVFdbzC1atFDbu6Loyamr+p5LHR0d9O/fX1yZNykpCe+//z62bduGDz/8sE77rO95rg8bGxvI5XLcunVLJeFT9G41hK2tLcaPH4/x48ejvLwcc+bMwZYtWzBx4kSlFY2rq+382dnZ4Y8//oCVldVTLaRVV1evXsWVK1fEVWOr27dv31O1bWNjg1OnTqn00FZUVCA7O1spAVP0Zurr6zf6uW9MdnZ2ePDgAVxdXWtNmKtTd3398zNOcfwaGhpPPP6ioiIkJSXBy8sLH3/8sdJz1acZKDzpM87CwgKjRo3CqFGjUFVVJS62NnHixKcaLUBERESPcQ5rM+Lt7Q25XI5169apfV7dUMZTp07h77//Fh8LgoAtW7YAeDy/EHic9PXr1w9HjhxRO39PEAQ8ePBAfKyhoaHSk/Lo0SNs375dZVvFXLDGHiY8ZMgQ6OjoIDQ0VGVOG/B4mGVFRQWA//VW/TPmkydP4sKFCyrbGhgY4OHDh2p7i+zt7ZGeno67d++KZRUVFdi1a1e94q/PuSwoKFB5XjEvuT5DMOt7nutDsaJxRESEUnlCQkK9hwMDj8+fTCZTKtPV1RWHuNd2PdV2zSnuj7p+/Xq1veKNPRxYkXT981q6du2aOO+3oQYMGICqqips27ZNqXz37t0oKSlRKuvTpw/MzMwQHh6u9popKytT2aYpeHt7Iz8/X+WYFNSdn4MHDyoN262srMT27duhqakp/sDj6OgIBwcH7NmzB1lZWSptyGQy8XWp6Zzl5eWp/ZFB8YPTP6+3srIylc8mTU1NcQXh5zF1goiI6GXAHtZmxNPTE76+vti5cyf+/vtvuLm5wdTUFHfv3sWff/6JrKwslbmJHTp0wPTp0zF27FhYWFggMTERycnJ8PLyEm8PAzy+/cKUKVMQFBQEb29vODo6Qi6XIzs7G8eOHYOXl5fYQzR48GBERkbio48+Qs+ePZGfn4+YmBi1t9Lo0qULNDQ0sGnTJjx8+BD6+vqwsbFRuZ9kfVlaWmLx4sVYvnw5xo4dCy8vL1hbW+PBgwdiMrBr1y60bt0a3bt3h7m5OVatWoXbt2+Lt7M4cOAA2rdvj2vXrim17eTkhN9//x1fffUVunXrBg0NDbi6usLMzAzjxo3DoUOHMHPmTIwZMwaVlZU4cOBAjcMba1Kfczlr1iwYGxvD2dkZlpaWKCoqQkxMDCQSiZiA1VV9znN99OnTB25uboiNjUVhYSH69u2LrKwsREZGwsHBAdevX69Xe6mpqfj8888xaNAgtGnTBgYGBrh06RKioqLg5OSkdm62gqmpKezs7HDo0CHY2trCzMwM+vr6cHd3R5cuXTB16lRs3LgRb7zxBjw9PdGqVSvk5eXh0qVLOH78uNLiO0+rXbt2ePXVV7FlyxaUlZWhTZs2yMjIQGRkJNq3b49Lly41uG0/Pz/s3bsXYWFhyM7ORrdu3XD58mX89ttvsLW1VUrI9fX1sWzZMixcuBBjxoyBn58f7OzsUFRUhPT0dBw9ehRff/21yv1/n7cJEybg1KlTWL16NVJSUuDq6gpDQ0Pk5uYiJSVF/JGqOnt7e7zzzjsYM2YMDAwMcPDgQfz111+YMmWKONdVIpHgs88+w4wZMzBhwgRxTmlZWRmysrJw5MgRzJ49G76+vjA0NETv3r0RFxcHXV1ddOnSBbdv30ZkZCRsbGxUEn7FZ9maNWswYsQI6OjowMHBAVVVVZg6dSoGDhwIBwcHGBsbIz09Hbt374aNjY24UBURERE9HSaszczSpUvh4uKCvXv3Ijw8HJWVlTA3N0fHjh0xa9Yslfru7u5o06YNwsPDcevWLZiZmWHKlCmYMmWKUj0rKyts3boVmzdvRmJiIuLi4qCjowNLS0u4ublhyJAhYt358+fD0NAQ8fHxSExMhKWlJfz9/dG5c2eVRZCsrKywZMkSbN68GV988QVkMhl8fHyeOmEFHn9ht7e3x9atWxEZGYmioiKYmpqiTZs2mDFjBszNzQEAxsbGWLduHdasWYMdO3agqqoKHTt2xOrVqxEVFaWSsL755pvIzs7G4cOHsWfPHsjlcoSEhMDMzAzdu3dHcHAwNm3ahNWrV+OVV17BmDFj0LlzZ8yYMaNe8df1XAYEBCA+Ph6RkZEoLCyEiYkJHB0d8cEHH9Q7wajPea6vFStWYMOGDTh48CCSk5Ph4OCAr7/+GgcPHqx3wtqhQwcMHDgQp0+fxsGDB1FVVQUrKysEBgZi4sSJT9z+v//9L1auXIn169ejrKwM1tbWcHd3BwBMnToVnTt3xi+//IKff/4Zjx49gpmZGRwcHLBw4cIGHXtNNDU1sXr1aqxatQqxsbF49OgRHBwcEBwcjCtXrjxVwqqtrY3169dj9erVSExMxJEjR9C5c2esX79e/HGmuj59+mDz5s3YvHkz4uLi8ODBA7Ro0QK2trZ48803xZ6/pqSlpYVVq1Zh9+7dOHDggJictmrVCl26dFE79/r1119HSUkJduzYgdzcXFhZWWHBggWYMGGCUj1HR0ds27YNP/30E44dO4Y9e/bA0NAQ1tbW8PX1haurq1j3v//9L9auXYvff/8d+/fvh52dHWbOnAktLS0sW7ZMqd3u3btjzpw5iIyMxPLly1FVVYWgoCC8/vrr8PPzw+nTp5GQkIDKykq0atUK/v7+mDRpUr1/5CIiIiL1JMLzWEGHGl1OTg78/PzUzp0jInrRpaamYvr06Vi6dCl8fX2bOpxnauPGjQgMDIS2tnZTh0JERNTscA4rERERERERNUscEkyNrqqqqk6L+5iYmLBHoQ5KS0tRWlpaax1NTc0G3Q6ksb0osRYWFqKysrLWOnp6eir3QCUiIiKi54sJKzW6O3fuqNxeRp2QkJAmXwTmRRAREYGwsLBa61hbWyMmJuY5RVSzFyXWRYsWIS0trdY6Pj4+CA4Ofj4BEREREZFanMNKja68vBxnz559Yr1OnTop3UuS1MvKynrifWB1dXXRvXv35xNQLV6UWC9duvTE2460atUKr7766nOKiF5mnMNKRERUMyasRERETYgJKxERUc246BIRERERERE1S0xYiYiIiIiIqFliwkpERERERETNEhNWIiIiIiIiapaYsBIREREREVGzxISViIiIiIiImiUmrERERERERNQsMWElIiIiIiKiZokJKxERERERETVLTFiJiIiIiIioWWLCSkRERERERM0SE1YiIiIiIiJqlpiwEhERERERUbPEhJWIiIiIiIiaJSasRERERERE1CwxYSUiIiIiIqJmiQkrERERERERNUtMWImIiIiIiKhZYsJKREREREREzRITViIiIiIiImqWmLASERERERFRs8SElYiIiIiIiJolJqxE1CDBwcFwcXFp6jCeKV9fX0ydOvWZ1X+SmJgYuLi4IDU1tdHaJCIiInqRaDV1AETVpaam4vTp03jjjTdgbGys9Nz58+cRERGBK1eu4P79+wAAKysreHp64o033oCRkVFThEwvme3bt8PY2Bi+vr5NHcpTiYmJQVFREd544416PUdERET0PDFhpWbl9OnTCAsLg6+vr0rCeuvWLZSVlWHEiBGwsLCAIAi4ePEiNm3ahMOHD2Pz5s3Q09Nrosjp32jPnj2QSCRKZT///DOsra3/FQnr7du3a0xYa3qOiIiI6HliwvqCqaqqQmVl5UuZmPn4+MDHx0epLCAgAO3atcOaNWvw+++/Y8iQIU0UXeMSBAGPHj2CgYFBU4fyUtPR0WnqEP51ysrKoKWlBS2tF+9/PyUlJTA0NGzqMIiIiF4qL943hpdITEwMli1bhvXr1+P8+fOIiYlBbm4uPv30U/j4+GDPnj3Yt28fbt68CQ0NDXTu3BlBQUFq5xUePnwYO3bswJUrV1BZWQlLS0v06dMH77//PrS1tQEAjx49wo8//oj4+HjcvXsXLVq0QK9evTBjxgxYW1urxBUSEqKyr6lTp+L27duIiYkRy3x9fWFtbY2PP/4Y3333Hc6cOQOJRIJevXrhgw8+gIWFBYDHcyJjY2MBAH5+fuL2QUFBmDZtWo2vkyK2hw8f1vclrnNsCsXFxdi0aROOHDmCO3fuwNDQED179sTMmTNha2sr1ispKcHmzZtx6tQpZGVlobS0FJaWlhg8eDCCgoKUfnBITU3F9OnTsXTpUjx69Ai7du1CVlYW3nnnnVqP+5/y8vIQFhaGpKQk5Ofnw9TUFG5ubpgxYwbMzMzEeqGhoQgLC8Pu3buxf/9+7N+/Hw8ePEDbtm0xa9Ys9O/fX6nd8vJyhISEIC4uDkVFRXBwcMDMmTPr+1KLcnNzERoaipSUFOTn58PIyAh2dnYYPXq0+IOEXC7HL7/8gujoaOTk5EAikcDc3Bzdu3fHxx9/XOdkZ+PGjdi4cSOioqJgY2Mjvk7Dhw+HRCLBb7/9BhMTEwDAzZs3MXbsWMyePRvvvPMOgP9dHxs3bgQA8Xq/ffu20rUfHR2N1q1bi4/T09PrdD3VVVVVFUJDQxETE4P8/Hy0adMGgYGBGDZsmErdv/76C5s2bcKZM2dQWloKa2treHt7Y9KkSeLr5uvri9u3bysdEwCEhIRg2bJlNT6neJyRkYGwsDAkJyejsLAQrVq1gqenJ6ZOnQp9fX1xG8V7Oj4+HmvWrMHx48fx4MEDREVFKb1etUlKSsKWLVtw/fp1lJWVwdTUFJ07d8bs2bPRpk0bsV5eXh5++uknJCUl4e7duzAyMkKHDh3w9ttvo3fv3mK9tLQ0/PDDD7h48SJkMhnatm2LsWPHYtSoUUr7VXyWbdiwAWvWrEFqaioePnwozieu6/uNiIiIng4T1hfA6tWrIZPJ4O/vD0NDQ7Rp0wZLlizBr7/+isGDB8PX1xeVlZWIi4vDrFmz8NVXX2HAgAHi9uvXr8dPP/2EV199FW+88QYsLCyQlZWFI0eOYPr06dDW1oZMJsPs2bNx7tw5DB48GBMnTkRGRgb27NmDU6dOYcuWLbC0tGzwMdy7dw/Tpk2Dh4cH3nvvPVy9ehWRkZEoKSnB+vXrAQCjR49GSUkJjh49ivnz58PU1BQA0KFDB6W2ysrKxH+XLl3C2rVroa2tjV69ej2z2IDHyerkyZORm5sLPz8/vPrqq8jLy8Pu3bvxzjvvICIiQkye7927h6ioKAwaNAjDhw+HpqYm0tLSsGXLFly+fBnr1q1TiePnn39GYWEhRo0aBXNz83q93rm5uQgMDERlZSVGjhwJW1tbZGZmYs+ePUhNTUVERITKHN/g4GBoaWlh4sSJqKysxM8//4yFCxciMjJSKZn45JNPkJCQADc3N/Tp0wdZWVlYtGhRnROO6mQyGWbNmoV79+4hICAA9vb2KC4uxrVr13DmzBkxYd20aRNCQkLg5uaGMWPGQENDAzk5OTh27BgqKirqnLC6urpi48aNSElJERPW5ORkaGhoQC6XIzU1FYMHDwYApKSkiNvU5LPPPsPKlSthamqKyZMni+UtW7YU/67r9VQfa9euxaNHjxAQEADg8Y9Gn3zyCSoqKpSGJiclJWHRokWws7PDxIkT0aJFC5w/fx6hoaG4cuUKvvzySwDAggULsG7dOhQUFGD+/Pni9u3atav1OQC4dOkSpk+fDmNjY4wePRqvvPIKrly5gl9++QXnzp3Dxo0bVc7PrFmzYG5ujnfffbdeIwdOnz6N+fPnw8HBAYGBgTAyMkJeXh6Sk5ORmZkpJqw5OTl49913cf/+fXh5eaFz58549OgRzp8/j+TkZDFhPXbsGBYtWgRzc3NMnDgRBgYGOHToEJYvX47s7GzMmjVLaf+lpaWYNm0aunXrhpkzZ4pz5xvyfiMiIqIGEqjZio6OFqRSqeDv7y88evRILD9y5IgglUqFPXv2KNWvrKwUJk6cKPj6+gpyuVwQBEE4f/68IJVKhWnTpgllZWVK9eVyuVgvMjJSkEqlwqpVq5Tq/P7774JUKhU+/fRTlbhSUlJUYg4KChJ8fHyUynx8fASpVCocOnRIqfyLL74QpFKpcPPmTbEsJCREkEqlQnZ2do2vy3fffSdIpVLx39ixY4UTJ07UWL829Ynt66+/Fvr27StcvnxZqW5OTo7g7u4uLF26VCyrqKgQKisrVfb3/fffC1KpVDh//rxYlpKSIkilUmHgwIFCfn5+g45j3rx5gqenp5Cbm6tUfvHiRaFnz55CSEiIWKZ4jefOnSuef0EQhAsXLghSqVRYu3atWHbixAlBKpUqHZsgCMLRo0fF178+rly5IkilUiE8PLzWem+88YYQEBBQr7bVqaysFPr16yd88sknYllwcLDw5ptvCgEBAcKKFSvE8oULFwoDBgwQZDKZWObj4yMEBQUptamurPpzdb2e6kLxXvP29haKiorE8qKiIsHb21sYOHCg+NlQVlYmDB06VJgyZYrKtbd161aV96y692pdnhs/frwwevRoobi4WKlc8bkUHR0tli1dulTl86M+vv32W0EqlT7xfTFnzhxBKpUKf/zxh8pzVVVVgiAIgkwmE7y9vYUBAwYId+/eFZ+vqKgQAgMDBVdXV+HWrVtieVBQkCCVSoX169ertFmf91tdhIaGChUVFfXahoiI6GXB29q8AAICApSGkB44cACGhobw8PBAQUGB+K+4uBhubm7IyclBRkYGAODgwYMAgNmzZ0NXV1epXYlEIi4oc/ToUWhoaCAwMFCpTv/+/fHaa6/h2LFjkMvlDT6GVq1aqcwvVQwvzMzMrFdbo0ePxvr16/HFF1/gzTffhI6ODgoKCp5pbIIgIC4uDs7OznjllVeUXnd9fX04OTnh5MmT4vba2tpiL5NMJsPDhw9RUFCAnj17AgAuXLigEoe3t3eDhhIWFxcjKSkJ7u7u0NXVVYqtdevWsLW1xalTp1S2Gz9+vNKCQl26dIGBgYF47QBAQkICAOCtt95S2tbDw0NpOGZdKXqdTp8+LfZW1VTv7t27OHv2bL33UZ2Wlha6d++udFuY06dPw9XVFa6urkhOTgbw+PympaWhR48e0NTUfKp9Nua1rhAQEKDUY2dkZIQxY8bg4cOHOH36NADg1KlTyM/Ph6+vL4qLi5Wug379+ol1nsa1a9dw9epVDB8+HJWVlUr76N69O/T19ZXeBwoTJ05s0P4Ux3zkyBHIZDK1dQoLC3HixAn07dsXffr0UXleQ+Px/+YuXbokjo5o1aqV+Ly2tjbefvttyOVyJCYmqmz/z2u/oe83IiIiahgOCX4B2NvbKz1OT09HSUkJhg4dWuM29+/fR5s2bZCRkQGJRKIyrPafcnJy0KpVK7Ro0ULlOQcHB1y5cgUFBQUNnpulGI5ZnWLuYGFhYb3asre3F18TT09PnDhxAnPmzAEADB8+/JnE9uDBAxQWFuLkyZPw9PRU247ii7HCrl27sGfPHty4cUMl2S8qKlLZ/p/nua7S09Mhl8sRFRWFqKgotXXUHWP1ObcKJiYmSucjOzsbGhoaapPTdu3a4datW/WK1draGpMnT0Z4eDiGDx+O1157Da6urvD09ESXLl3EerNmzcLChQsxZcoUtGrVClKpFP3798fgwYPFOdd15eLigpMnT+LmzZvQ1tZGTk4OXF1dUV5ejp07d+Lu3bvi+a1tOHBdNea1rtC2bVuVMsUQ3ezsbACP5+ACj4ct1yQ/P79B+1dQ7CM0NBShoaFq66j7IaIhP24AwLhx45CYmIgvvvgCa9euxX/+8x/07dsXw4YNE4dhZ2ZmQhAEODo61tpWTk4OAODVV19Vec7BwQHA/15LhZYtW6qsVt7Q9xsRERE1DBPWF8A/VwQWBAEtW7bE8uXLa9xG8QUMUO5JbQy1tVVVVaW2/J/JXHWCIDxVPH369IG5uTl2797doIS1LrEp/tuzZ09MmjTpiW1u3boVq1atQu/evTF+/HhYWFhAW1sb9+7dQ3BwsNre6qdd+XnEiBEqqygr/LN3Haj5uJ/2fDzJzJkz4efnh6SkJJw9exZRUVGIiIjA22+/jffeew8A0K1bN+zbtw8nTpwQ78178OBB/Pjjj/jhhx/EBLAuFEloSkoKdHR0oKWlBWdnZ1RWVkJDQwPJycliD31jJKzP8lqvjaLtuXPn4rXXXlNbp3rP4tPsY+LEiWp7MwGo/dGrode2qakptmzZgjNnzuDUqVM4c+YMVq5cidDQUKxevRrdunVrULt1VVvc9X2/ERERUcMwYX0B2dnZISMjA127dn3i4iVt2rTBH3/8gStXrsDJyanGejY2Njhx4gSKiopUehRu3LgBQ0NDcREkxRdSdavy5uTkPNXtKhqaWJeXlzdoleC6UvS0lJSU1GlxpwMHDqB169ZYs2aNUgLzxx9/NHpstra2kEgkkMlkDV54qiY2NjaQy+W4deuW0o8gwP962xrC1tYW48ePx/jx41FeXo45c+Zgy5YtmDhxotiLb2BggMGDB4uLIu3atQtffvkloqKi8Pbbb9d5Xx07doSRkRFSUlKgra0NJycn6OvrQ19fH46OjkhJScHDhw9hZmamcozqNOaPP3WVnp6uUqZ4/RW9eYoeen19/TpdB7UdR03PKfahoaHR6NdaTTQ1NeHi4iIOq7569SomTpyIH3/8EatXr4adnR0kEgkuX75cazuK1+nGjRsqzynK6tIz+izfb0RERKSKc1hfQN7e3pDL5WpXmgWUh/0pbnvx/fffo7KyUqWuosfEw8MDcrkc4eHhSs8fP34cly9fhru7u5h4Kb60Kub/KRw8eBD37t1r2EH9f4oEXF3ymZeXp3ab2NhYFBcX15qQPy0NDQ0MHz4cFy9exG+//aa2TvWhkJqampBIJEo9ajKZTOX1bQympqbo168fjhw5gvPnz6s8LwgCHjx40KC2FatNR0REKJUnJCTUezgw8Hj+3z/nIurq6opDXhXnXd2c5I4dOyrVqStNTU306NEDaWlp4vxVBRcXF6SkpCAtLQ1SqbROyai+vv4z/XFEnd27d6O4uFh8XFxcjD179sDY2BhSqRTA45EGZmZmCA8PVzv0uKysDCUlJeJjAwMDPHz4UG2vb03POTo6wsHBAXv27EFWVpbKdjKZrMHDntVRdx20bdsWenp64jkwMTFB37598ccff6idO6o4ho4dO8LKygoxMTFKnyUymQwRERGQSCRKq6vX5Fm+34iIiEgVe1hfQJ6envD19cXOnTvx999/w83NDaamprh79y7+/PNPZGVliXOrnJycMGnSJGzevBlvvvkmhg4dCnNzc+Tk5ODw4cPYvHkzjI2N4evri9jYWGzevBk5OTno0aMHMjMzsXv3bpibmyvd7qFt27bo2bMnIiMjIQgCXnvtNVy5cgUJCQmws7OrcXGUulAknWvWrMGIESOgo6MDBwcHtG/fHnPnzoWJiQm6desGKysrFBcX4+zZs0hMTISlpSWmTp36dC/sE8yaNQvnzp3DRx99hMOHD6Nr167Q1tbG7du3cfz4cXTq1AnBwcEAgMGDB2PdunV47733MHDgQJSUlODXX399qt7n2ixevBhTpkxBUFAQvL294ejoCLlcjuzsbBw7dgxeXl71uqerQp8+feDm5obY2FgUFhaib9++yMrKQmRkJBwcHHD9+vV6tZeamorPP/8cgwYNQps2bWBgYIBLly4hKioKTk5OYuIaEBCArl27okuXLmjVqhXy8vKwd+9eaGtr1zp3uyaurq44duwYAOV7i7q6uorJuLr7F6vTtWtXREVFYcOGDWjXrh0kEgnc3d2V7j/a2ExNTTFp0iTxFjbV78msGLaqr6+PZcuWYeHChRgzZgz8/PxgZ2eHoqIipKen4+jRo/j666/F43RycsLvv/+Or776Ct26dYOGhgZcXV1hZmZW63OfffYZZsyYgQkTJoi3dyorKxNvlTV79mylW+08jeXLl+Pu3bvo1asXrK2tUV5ejvj4eJSUlMDb21us98EHH2Dy5Ml477334OPjg06dOqGsrAwXL16EtbU13nvvPWhqauKDDz7AokWLMGnSJPj7+8PAwADx8fE4f/48AgMD6zyP/Fm934iIiEgVE9YX1NKlS+Hi4oK9e/ciPDwclZWVMDc3R8eOHVXuJThnzhx06NABO3fuxJYtWyCXy2FpaYl+/fqJX3a1tLSwbt06/Pjjj4iPj8fRo0dhbGyMwYMHY+bMmbCyslJq87PPPsPXX3+NgwcP4sCBA3B2dkZISAhWrFiB27dvN/i4unfvjjlz5iAyMhLLly9HVVUVgoKC0L59e/j7++PIkSPYt28fCgoKoKWlBVtbW0yaNAkTJ04Uhyw/K0ZGRti0aRO2bt2K+Ph4HDt2DJqamnjllVfQvXt3jBo1Sqz71ltvQRAEREVF4dtvv4W5uTmGDBkCPz8/jB07ttFjs7KywtatW7F582YkJiYiLi4OOjo6sLS0hJubm8qqtfWxYsUKbNiwAQcPHkRycjIcHBzEc1/fhLVDhw4YOHCgOCe1qqoKVlZWCAwMVFpJduLEiTh+/Dh27NiB4uJiMYkKDAyscX5mbRS9qrq6ukrzHp2dnaGlpQWZTFbn+aszZ85EYWEhdu3ahaKiIgiCgOjo6GeasM6ZMwdnz57Frl27cP/+fdjb22P58uUqc7b79OmDzZs3Y/PmzYiLi8ODBw/QokUL2Nra4s0331RafO3NN99EdnY2Dh8+jD179kAulyMkJARmZma1Pufo6Iht27bhp59+wrFjx7Bnzx4YGhrC2toavr6+jTIPWMHLywsxMTHYv38/Hjx4AENDQ7z66qv48ssvxaHiwOOhvBEREfjhhx9w/Phx7N+/Hy1atECHDh3g7+8v1nN3d8f333+PH3/8EREREaisrETbtm3x6aefKr1/n+RZvt+IiIhImUR41iusEBERUY02btyIwMDAeq+ATURE9DLgHFYiIiIiIiJqljgkmP51CgsL1S4wVZ2enh6MjIyeU0QNU1paitLS0lrraGpqivejbErPO9bi4mKUlZXVWkdbW7tet795XiorK+u0MFHLli2hqan5HCJ6/h48eFDjLbAUDAwMnrgKOhEREf37MWGlf51FixYhLS2t1jo+Pj7iAknNVUREBMLCwmqtY21tjZiYmOcUUc2ed6zffPMNYmNja63To0cPbNy4sVH215jOnTuH6dOnP7FedHQ0Wrdu/Rwiev7efvvtJ851DwoK4sJFRERExDms9O9z6dKlJ952pFWrVnj11VefU0QNk5WVhezs7Frr6Orqonv37s8noFo871hv3LjxxFsotWjRAp06dWqU/TWmhw8f4tKlS0+s1717d+jq6j6HiJ6/s2fPory8vNY6NjY2sLW1fU4RNS3OYSUiIqoZE1YiIqImxISViIioZlx0iYiIiIiIiJolJqxERERERETULDFhJSIiIiIiomaJCSsRERERERE1S0xYiYiIiIiIqFliwkpERERERETNEhNWIiIiIiIiapaYsBIREREREVGzxISViIiIiIiImiUmrERERERERNQsMWElIiIiIiKiZokJKxERERERETVLTFiJiIiIiIioWWLCSkRERERERM0SE1YiIiIiIiJqlpiwEhERERERUbPEhJWIiIiIiIiaJSasRERERERE1CwxYSUiIiIiIqJmiQkrERERERERNUtMWImIiIiIiKhZYsL6kigoKMCSJUswfPhwuLi4YOrUqU0dEr1AXFxcEBwc3NRhEBEREdFLRqupA6Anu3z5MhISEuDr64vWrVs3qI3vvvsO8fHxmDx5MmxsbGBmZtbIUSqLiYlBUVER3njjjWe6n+YqJycHMTEx8PDwgKOj4zPbT0JCAi5fvoxp06Y9s33UJDQ0FI6OjvDw8Hhm+4iJicGyZcvqVLdHjx7YuHHjM4uloVJTUzF9+nTMnTsXb731llju4uKC/v37Y9WqVTVuO3XqVKSlpdVpP0uXLoWvr+/ThktERETUrDBhfQFcuXIFYWFhkEqlDU5YT506hd69eyMoKKiRo1MvJiYGt2/ffqkT1rCwMLRu3fqZJ6yxsbHPPGE9fvw4NDU1lcrCwsLg4+PzTBNWZ2dnfPbZZ0plmzZtQnp6ukr5s/4RpilMnjwZo0aNEh8XFBRg5cqVcHZ2hr+/v1Ldbt26PefoiIiIiJ69lyZhraqqQmVlJfT09Jo6lCaRn58PExOTpg6jUbzs5xIASkpKYGho+Nz2p6ur+9z2VZ2trS1sbW2Vyvbt24f09HR4eXk1SUzPU+/evZUe5+TkYOXKlbCxsXni8ZeVlUFLSwtaWi/NxzwRERH9C/0rv8kohhGuX78e58+fR0xMDHJzc/Hpp5/C19cXgiBgz5492LdvH27evAkNDQ107twZQUFBcHFxEdvJycmBn58fgoKC0KZNG4SHhyMjIwMtW7aEn58f3n33XZUvg3l5eQgLC0NSUhLy8/NhamoKNzc3zJgxQ6kH6N69e9i6dStSUlJw+/ZtlJeXw8bGBt7e3njrrbfE3qzQ0FCEhYUBAKZPny5u7+PjU6c5hdW3j42NRWxsLADl4YOnTp3Cli1bcPHiRVRUVMDe3h4BAQEICAhQauvkyZOIiorCX3/9hby8PGhra6NLly6YPHkypFKpWM/X1xe3b98GAKXXMyQkBC4uLvD19YW1tbXK8E3F0MnqsTXWuVQc/86dO5GRkQGZTAZzc3N07doVCxYsQMuWLZ/4Wirk5uYiNDQUKSkpyM/Ph5GREezs7DB69Gj4+PgoDWNdtmyZ+LdiyKpcLsdPP/2EkydPIiMjA4WFhTA3N0f//v0xY8YMmJqaivuqfg22a9cOW7Zswc2bNzFkyBDk5OSIw0WrH2t9hoYWFhbihx9+wLFjx3Dv3j3o6+vD2toaQ4cOxdtvvy3Wc3FxEa85RUyK11RxTQGPz6FCXa+rp3X06FEsWrQIn3zyiUqvIwCMGzcOFRUV2Lt3LyQSCaZOnYrbt29jw4YNWLlyJU6fPg0AcHV1xfvvv6+SINfnGmsqwcHBiI2NRXx8PNasWYPjx4/jwYMHiIqKQuvWrbFr1y4kJCTgxo0bePDgAUxMTNCzZ0/MmDFDZdSG4lyPHj0a69atw19//QVdXV14eHhgwYIFMDAwEOs+6b0AKL+vS0pKsHPnTuTm5sLKygrjxo3D+PHjVY4nLS0NP/zwAy5evAiZTIa2bdti7NixSr3NAHD9+nVs3LgRf/75JwoKCtCiRQu0bdsWb731Fvr37y/WKygoQGhoKI4dO4b8/HyYm5vD3d0d06ZNU3q/Kd67GzZswN9//43du3fj7t27sLa2xuTJk8VjUkhKSsKWLVtw/fp1lJWVwdTUFJ07d8bs2bPRpk2bhp5OIiIiquZfmbAqrF69GjKZDP7+/jA0NBS/QCxZsgS//vorBg8eDF9fX1RWViIuLg6zZs3CV199hQEDBii1c+zYMWRnZ2Ps2LEwNzfHsWPHEBYWhtzcXCxdulSsl5ubi8DAQFRWVmLkyJGwtbVFZmYm9uzZg9TUVERERMDIyAgAcPXqVRw9ehQeHh6wtbWFTCbDiRMnsG7dOmRnZ+OTTz4BAAwaNAh5eXnYu3cvAgMD0a5dOwBQ+VJdk0GDBsHOzg5LlixRGkaoGD4YGRmJFStWoGvXrpg8eTL09fVx6tQpfPHFF8jOzsbcuXPFtmJiYlBYWAgvLy9YWlri7t27iIqKwsyZMxESEgJnZ2cAwIIFC7Bu3ToUFBRg/vz54vaK2Bviac/l/v37ERwcDGdnZ0yfPh26urq4c+cOjh8/jvv379c5YZXJZJg1axbu3buHgIAA2Nvbo7i4GNeuXcOZM2fg4+MDZ2dnBAYG4qeffoK/v7/4uih+sKisrERERAQGDRqEAQMGQE9PD3/99ReioqJw9uxZbN26Fdra2kr7TUxMxI4dOzBmzBiMGTMGhoaGaNGiBQRBwJkzZ5SGx9ZnaOjixYuRlpaGMWPGoEOHDigvL8fNmzdx+vRppYS1upYtW+Kzzz5Tuaaqq8919bTc3Nxgbm6O6OholVjOnz+PGzduYObMmZBIJGL5o0ePMG3aNDg5OWH27NnIyMjA7t27cf78eWzbtg0WFhZi3fp+XjSlWbNmwdzcHO+++y4ePXokJpdbt26Fk5MTXn/9dZiYmOD69evYt28fUlJS8MsvvyglbcDjaQjz5s2Dr68vhg0bhtOnTyMqKgoaGhriZ1Nd3gvV7dixA/n5+Rg9ejQMDAzw66+/4ptvvsHDhw+VFoE7duwYFi1aBHNzc0ycOBEGBgY4dOgQli9fjuzsbMyaNQvA4yR0xowZAIAxY8bAysoKBQUFuHTpEi5cuCAmrMXFxZg8eTIyMzPh5+eHjh074vLly9i9ezdSUlKwefNmldEK69evR3l5OUaPHg0dHR3s3r0bwcHBsLW1Rffu3QEAp0+fxvz58+Hg4IDAwEAYGRkhLy8PycnJyMzMZMJKRETUWIR/oejoaEEqlQr+/v7Co0ePlJ47cuSIIJVKhT179iiVV1ZWChMnThR8fX0FuVwuCIIgZGdnC1KpVHB1dRUuXbok1pXL5cKCBQsEqVQq/Pnnn2L5vHnzBE9PTyE3N1ep7YsXLwo9e/YUQkJCxLJHjx6J+6nu008/FVxdXYV79+6pHE9KSkoDXo3HpFKpsHTpUqWye/fuCX369BE+/vhjlfpff/214OrqKmRmZoplpaWlKvXy8vKEQYMGCXPmzFEqDwoKEnx8fNTG4uPjIwQFBamUp6SkCFKpVIiOjhbLGutcLly4UHB3dxcqKyvVxlRXV65cEaRSqRAeHl5rPXXHoiCXy1WORRAEYe/evYJUKhUOHToklimuwZ49ewo3btxQ2Wbp0qWCVCptwJEIQlFRkSCVSoUVK1Y8sa6660ddmSDU/7qqr6CgIJVjXrdunSCVSoXr168rlf/3v/8VevbsKdy9e1dl+2+++UapruJ6+vzzz1XK6nKN1URxLWzZskWpXCqVCnPnzn3i8VanuB7++borroNPP/1U7Xbq3runTp1Sey1LpVLBxcVFOH/+vFL5e++9J/Ts2VMoKSkRBKH+7wU3Nzelz8aKigrhrbfeEnr27CmWy2QywdvbWxgwYIDSOauoqBACAwMFV1dX4datW4IgCEJCQoLK+0UdxbWxc+dOpfIdO3YIUqlU+P7778UyxefNhAkThIqKCrH8zp07Qu/evYWPPvpILPv2228FqVQq5Ofn17r/uggNDVXaHxEREf3Pv/q2NgEBASrzHA8cOABDQ0N4eHigoKBA/FdcXAw3Nzfk5OQgIyNDaZtevXqhY8eO4mOJRCL2Ph09ehTA41/xk5KS4O7uDl1dXaW2W7duDVtbW5w6dUpsQ09PT+zxqaysRGFhIQoKCtCnTx/I5XL89ddfz+Q1qe63335DRUUFRo4cqRRvQUEB3NzcIJfLkZycLNbX19cX/y4tLUVBQQE0NTXh5OSEixcvPtNYn/ZcGhkZoaysDElJSRAEocFxKHrIT58+jfv37zeoDYlEIh5LVVUVioqKUFBQAFdXVwDAhQsXVLbp37//U/VQq6OrqwsdHR1cuHABOTk5jdZufa+rxjBq1ChIJBJERUWJZY8ePUJ8fDz69u2LVq1aqWwzadIkpccDBw5EmzZtkJiYKJY15POiKU2cOFFtueK9K5fLUVxcjIKCArz22mswMjJSe7117doVTk5OSmWurq6oqqoSr5X6vheGDx8OS0tL8bG2tjbeeOMNVFVV4ffffwcAXLp0Cbm5ufDz81M6Z9ra2nj77bchl8vF86PY/x9//IHi4uIa95uQkICWLVuq9L6PHj0aLVu2FD/Dqxs7dqzSKIdXXnkF9vb2yMzMFMsU+z9y5AhkMtkTj5+IiIga5l89JNje3l6lLD09HSUlJRg6dGiN292/f19pOFfbtm1V6rz66qsAgOzsbLFduVyOqKgopS/N1dnY2Ih/y2QyhIeH48CBA8jMzFRJoh4+fFjzgTWS9PR0AMDMmTNrrFP9i2hWVhbWr1+PkydPoqioSKle9eGWz8LTnsvAwECkpaVh4cKFMDExQY8ePdCvXz8MGTKkXosXKeayhYeHY/jw4Xjttdfg6uoKT09PdOnSpc7txMfHY+vWrbh8+bLKl111517d8T8tbW1tzJ8/H99++y38/Pzw6quvwsXFBR4eHujZs2eD263vddUYbGxs0LNnTxw4cABz5syBlpYW4uPjUVJSgpEjR6rUNzY2Vhr2q9CuXTskJCTg0aNH0NfXb9DnRVOqKY6UlBSEhYXh4sWLKC8vV3run+9lQPmzSkGxaFthYSGA+r8X1P3g8s/PUUUyrCivzsHBQamuVCqFt7c3YmJiEBcXh86dO6NXr14YMmSI0vY5OTno1KmTynoDWlpasLe3x99//13n48/NzRUfjxs3DomJifjiiy+wdu1a/Oc//0Hfvn0xbNiwes2JJyIiotr9qxNWdavICoKAli1bYvny5TVup/hi1BAjRoxQmbulUH2l1e+++w47duzAkCFDMHnyZLRs2RJaWlr4+++/sXbt2qfqBawrxT6WLVum9ss78L8vbqWlpQgKCsKjR48wYcIEtG/fHoaGhpBIJAgPD0dKSkqd91tTcltVVVXjNk97Lu3t7bFr1y4kJycjJSUFaWlpWL58ubgoVV3nBAOPEzE/Pz8kJSXh7NmziIqKQkREBN5++2289957T9z+yJEj+Oijj9ClSxcsXLgQlpaW0NHRgVwux5w5c9Se+2e1InJAQAA8PDyQlJSE06dP4/Dhw9i5cyeGDBmCFStWNKjN+lxXjcnf3x+LFy9GYmIiBg8ejKioKHExq4Z61p8XjU3ddXLx4kXMnj0btra2mD17Nlq3bg1dXV1IJBJ8/PHHkMvlKtv88xZG1VW/Pp/2vfC0li1bhrfeegt//PEHzpw5g61bt2LTpk2YP38+Xn/99Qa3q6GhfvBR9WM3NTXFli1bcObMGZw6dQpnzpzBypUrERoaitWrV/M2Q0RERI3kX52wqmNnZ4eMjAx07dpVabXL2ih6jKq7ceMGgP998ba1tYVEIoFMJkOvXr2e2OaBAwfQo0cPlaSg+pAzhWfVe2lnZwfg8RevJ8WcnJyMe/fuYcmSJeIKsQobNmxQqV9bzC1atFDbi6joOamr+p5LHR0d9O/fX0xgkpKS8P7772Pbtm348MMP67VvW1tbjB8/HuPHj0d5eTnmzJmDLVu2YOLEiTAzM6v1+A8cOABdXV2EhoYqJRjqrrMnaYxrw8LCAqNGjcKoUaNQVVUlLjI0ceLEevUaK9TnumpMHh4eMDMzQ1RUFBwcHHDu3DlMmjRJ7W1dioqKkJeXp5JQ37x5E2ZmZuIQ2oZ8XjQ3Bw8eRFVVFdasWaP0Q8GjR4/U9q7W15PeCwo3b95U2fafn6OK/yrKa6ur0L59e7Rv3x5vv/02ioqKMGnSJKxbtw7jxo2DRCKBjY0Nbt26BZlMpnQtyGQyZGRkPNWPJ5qamnBxcRFXi7569SomTpyIH3/8EatXr25wu0RERPQ//+o5rOp4e3tDLpdj3bp1ap/Pz89XKTt16pTSsDFBELBlyxYAj78kA4+/nPfr1w9HjhzB+fPnVdoQBAEPHjwQH2toaKj0pD169Ajbt29X2Vbx5bmxhwkPGTIEOjo6CA0NRVlZmcrzxcXFqKioAPC/Hpd/xnzy5Em1c+AMDAzw8OFDtb2F9vb2SE9Px927d8WyiooK7Nq1q17x1+dcFhQUqDyvmJesGOJYF8XFxSpDeHV1dcVh44pzpEhu1LWt6L2p3rMlCAJ+/PHHOsehoLg26nMMCmVlZSrnXVNTEx06dADw5OvNwMBA7X7rc101Ji0tLfj4+ODkyZPirZzUDQdW2Lx5s9Ljo0eP4tatW0qr/jbk86K5qem9u2nTJrW9q3VV1/eCwsGDB3Hnzh3xcWVlJbZv3w5NTU3xR6SOHTvCysoKMTExyMvLE+vKZDJERERAIpGI56ewsFAlfmNjY9jY2KCsrEwc+jxgwAA8ePAA+/btU6q7b98+PHjwAAMHDmzQ8av7TGnbti309PSey5QOIiKil8VL18Pq6ekJX19f7Ny5E3///Tfc3NxgamqKu3fv4s8//0RWVpbKHNQOHTpg+vTpGDt2LCwsLJCYmIjk5GR4eXkpDftavHgxpkyZgqCgIHh7e8PR0RFyuRzZ2dk4duwYvLy8MG3aNADA4MGDERkZiY8++gg9e/ZEfn4+YmJixHli1XXp0gUaGhrYtGkTHj58CH19fdjY2KgsilJflpaWWLx4MZYvX46xY8fCy8sL1tbWePDgAa5du4aEhATs2rULrVu3Rvfu3WFubo5Vq1bh9u3beOWVV3DlyhUcOHAA7du3x7Vr15TadnJywu+//46vvvoK3bp1g4aGBlxdXWFmZoZx48bh0KFDmDlzJsaMGYPKykocOHCg3sNe63MuZ82aBWNjYzg7O8PS0hJFRUWIiYmBRCKBl5dXnfeZmpqKzz//HIMGDUKbNm1gYGCAS5cuISoqCk5OTuKX9Xbt2sHQ0BC7d++Gnp4ejI2NYWZmBldXVwwePBhHjhzB9OnT4e3tDZlMhsTERLXJ3ZN07doVO3fuxBdffIH+/ftDS0sLTk5Odeo1unXrFqZOnYqBAwfCwcEBxsbGSE9Px+7du2FjYyPejqcmTk5OSE5ORnh4OKysrCCRSDBs2LB6XVeNzd/fHxEREfj111/Ro0ePGuf+mpqa4siRI7h37x6kUql4Wxtzc3PxPQo07POiufHw8MD27dsxd+5c+Pv7Q1tbG6dOncK1a9dUbmdTH3V9LyjY29vjnXfewZgxY2BgYICDBw/ir7/+wpQpU2BlZQXgcXL9wQcfYNGiRZg0aRL8/f1hYGCA+Ph4nD9/HoGBgeI53b9/P7Zv346BAwfC1tYWWlpaSEtLw4kTJzBkyBDx82TSpEk4fPgwvvrqK1y+fBmOjo64fPkyoqKi0KZNmxpv3/Qky5cvx927d9GrVy9YW1ujvLxcnDft7e3d4NeViIiIlL10CSsALF26FC4uLti7dy/Cw8NRWVkJc3NzdOzYUbzHX3Xu7u5o06YNwsPDcevWLZiZmWHKlCmYMmWKUj0rKyts3boVmzdvRmJiIuLi4qCjowNLS0u4ublhyJAhYt358+fD0NAQ8fHxSExMhKWlJfz9/dG5c2eVxWqsrKywZMkSbN68GV988QVkMhl8fHyeOmEFAD8/P9jb22Pr1q2IjIxEUVERTE1N0aZNG8yYMQPm5uYAHvdcrFu3DmvWrMGOHTtQVVWFjh07YvXq1YiKilJJWN98801kZ2fj8OHD2LNnD+RyOUJCQmBmZobu3bsjODgYmzZtwurVq/HKK69gzJgx6Ny5s3hfxbqq67kMCAhAfHw8IiMjUVhYCBMTEzg6OuKDDz4Qh/PVRYcOHTBw4ECcPn1aHGppZWWFwMBApRVa9fT08Pnnn2PDhg1YuXIlKioq0KNHD7i6umLYsGEoLS3F9u3bsXr1ahgbG8Pd3R2zZ8/G4MGD63X8w4YNw+XLl3Ho0CEcPnwYcrkcS5curVPCamlpCT8/P5w+fRoJCQmorKxEq1at4O/vj0mTJj3xB4TFixfjyy+/xE8//YSSkhIxHqDu11Vjs7Ozg4uLC1JSUmrtXdXX1xfPzbp16yAIAvr06YN58+apDBOu7+dFc9O9e3d89dVX+OGHHxASEgJdXV307NkTGzduRFBQUIPbret7QeH1119HSUkJduzYgdzcXFhZWWHBggWYMGGCUj13d3d8//33+PHHHxEREYHKykq0bdsWn376KUaNGiXWk0qluHz5Mn7//Xfk5eVBU1MTrVu3xvvvv49x48aJ9YyMjPDjjz8iNDQUx44dQ3R0NMzNzTFmzBhMmzatXouuVefl5YWYmBjs378fDx48gKGhIV599VV8+eWX9X4fExERUc0kwvNY3ecFlZOTAz8/PwQFBSn1uhBR8/Xee+/h/PnziIuLU5t0T506Fbdv30ZMTEwTRPfySU1NxfTp07F06VL4+vo2dTjN0saNGxEYGKh0Kx0iIiJ67KWbw0pE/16ZmZk4efIkRowY8cxWViYiIiKi5+elHBL8b1BVVaW0iFNNTExM+Kt9HZSWlqK0tLTWOpqami/E/RXLyspQXFz8xHo13XLmeSkuLn7ivF1tbW2187r/6cKFC7h58yZ++eUXaGtrqx2SSkREREQvHiasL6g7d+6o3F5GnZCQkHrN0XxZRUREiCvL1sTa2vqFGEYaHx+PZcuWPbFeamrqc4imZt988w1iY2NrrdOjRw9s3LjxiW3t3r0b+/fvh42NDf773/8+kwWdiIiIiOj54xzWF1R5eTnOnj37xHqdOnVCixYtnn1AL7isrKwn3gdWV1cX3bt3fz4BPYW8vDxcv379ifWe5z1S1blx4wbu3btXa50WLVqgU6dOzykioqbBOaxEREQ1Y8JKRETUhJiwEhER1YyLLhEREREREVGzxISViIiIiIiImiUmrERERERERNQsMWElIiIiIiKiZokJKxERERERETVLTFiJiIiIiIioWWLCSkRERERERM0SE1YiIiIiIiJqlpiwEhERERERUbPEhJWIiIiIiIiaJSasRERERERE1CwxYSUiIiIiIqJmiQkrERERERERNUtMWImIiIiIiKhZYsJKREREREREzRITViIiIiIiImqWmLASERERERFRs8SElYiIiIiIiJolJqxERERERETULDFhJSIiIiIiomaJCSsRERERERE1S0xYiYiIiIiIqFliwkrPXEFBAZYsWYLhw4fDxcUFU6dObeqQ6AXi4uKC4ODgpg6jWQkODoaLi0tTh0FERET0zGk1dQDUvF2+fBkJCQnw9fVF69atG9TGd999h/j4eEyePBk2NjYwMzNr5CiVxcTEoKioCG+88cYz3U9zlZOTg5iYGHh4eMDR0fGZ7SchIQGXL1/GtGnTntk+ahIaGgpHR0d4eHg8s33ExMRg2bJldarbo0cPbNy48ZnFQk2nMT4DiYiIqOGYsFKtrly5grCwMEil0gZ/WTt16hR69+6NoKCgRo5OvZiYGNy+ffulTljDwsLQunXrZ56wxsbGPvOE9fjx49DU1FQqCwsLg4+PzzNNWJ2dnfHZZ58plW3atAnp6ekq5c/6RxhqOo3xGUhEREQNx4T1OaiqqkJlZSX09PSaOpQmkZ+fDxMTk6YOo1G87OcSAEpKSmBoaPjc9qerq/vc9lWdra0tbG1tlcr27duH9PR0eHl5NUlMLyq+b4iIiKihJIIgCE0dxL+JYhjh+vXrcf78ecTExCA3NxeffvopfH19IQgC9uzZg3379uHmzZvQ0NBA586dERQUpDQnLScnB35+fggKCkKbNm0QHh6OjIwMtGzZEn5+fnj33XehpaX8e0NeXh7CwsKQlJSE/Px8mJqaws3NDTNmzFDqAbp37x62bt2KlJQU3L59G+Xl5bCxsYG3tzfeeustsTcrNDQUYWFhKsfo4+NTpzmFNW2/dOlS+Pr6Anjc+7plyxZcvHgRFRUVsLe3R0BAAAICApS2OXnyJKKiovDXX38hLy8P2tra6NKlCyZPngypVCrW8/X1xe3bt1X2GRISAhcXF/j6+sLa2lpl+GZqaiqmT5+uFFtjnUsAiI2Nxc6dO5GRkQGZTAZzc3N07doVCxYsQMuWLZ/4Wirk5uYiNDQUKSkpyM/Ph5GREezs7DB69Gj4+PjUOIxVMWRVLpfjp59+wsmTJ5GRkYHCwkKYm5ujf//+mDFjBkxNTcVtql+D7dq1w5YtW3Dz5k0MGTIEOTk5SEtLU9lP9dfvSQoLC/HDDz/g2LFjuHfvHvT19WFtbY2hQ4fi7bffFuu5uLiI15wiJnVSU1PFv+t6XdXX1KlTkZaWprSv9PR0/PLLL0hLS0Nubi6qqqrQrl07BAQEYNSoUUrbK94Tu3fvxv79+7F//348ePAAbdu2xaxZs9C/f3+l+uXl5QgJCUFcXByKiorg4OCAmTNn4uDBg4iNjVWKAwAyMjIQFhaG5ORkFBYWolWrVvD09MTUqVOhr68v1gsODkZsbCx+++03rFq1Cr///jsqKyvh6uqKjz76CBYWFoiMjMT27duRk5MDa2trzJkzp0492i/TZ2B5eTnCw8Px66+/4s6dO9DW1oalpSX69u2LuXPnPvG1Uti4cSMCAwOhra1d522IiIheFuxhfUZWr14NmUwGf39/GBoaok2bNgCAJUuW4Ndff8XgwYPh6+uLyspKxMXFYdasWfjqq68wYMAApXaOHTuG7OxsjB07Fubm5jh27BjCwsKQm5uLpUuXivVyc3MRGBiIyspKjBw5Era2tsjMzMSePXuQmpqKiIgIGBkZAQCuXr2Ko0ePwsPDA7a2tpDJZDhx4gTWrVuH7OxsfPLJJwCAQYMGIS8vD3v37kVgYCDatWsHACq9TjUZNGgQ7OzssGTJEjg7O8Pf3x8A0K1bNwBAZGQkVqxYga5du2Ly5MnQ19fHqVOn8MUXXyA7O1vpC19MTAwKCwvh5eUFS0tL3L17F1FRUZg5cyZCQkLg7OwMAFiwYAHWrVuHgoICzJ8/X9xeEXtDPO253L9/P4KDg+Hs7Izp06dDV1cXd+7cwfHjx3H//v06J6wymQyzZs3CvXv3EBAQAHt7exQXF+PatWs4c+YMfHx84OzsjMDAQPz000/w9/cXXxfFl/XKykpERERg0KBBGDBgAPT09PDXX38hKioKZ8+exdatW1W+NCcmJmLHjh0YM2YMxowZA0NDQ7Ro0QKCIODMmTNKw2MV57YuFi9ejLS0NIwZMwYdOnRAeXk5bt68idOnTyslrNW1bNkSn332mco1VV19rqvGkJqairS0NPTv3x+tW7dGWVkZfvvtNyxfvhwPHjxAYGCgyjbBwcHQ0tLCxIkTUVlZiZ9//hkLFy5EZGSk0rDTTz75BAkJCXBzc0OfPn2QlZWFRYsWqR2aeunSJUyfPh3GxsYYPXo0XnnlFVy5cgW//PILzp07h40bN6okeO+99x5eeeUVTJ8+HZmZmdixYwcWLVqEgQMHYu/evRg5ciR0dHSwY8cOfPjhh4iMjISNjU2dXpeX4TPwyy+/RHR0NLy9vfHmm2+iqqoKmZmZSElJqdNrRERERHUgUKOKjo4WpFKp4O/vLzx69EjpuSNHjghSqVTYs2ePUnllZaUwceJEwdfXV5DL5YIgCEJ2drYglUoFV1dX4dKlS2JduVwuLFiwQJBKpcKff/4pls+bN0/w9PQUcnNzldq+ePGi0LNnTyEkJEQse/Tokbif6j799FPB1dVVuHfvnsrxpKSkNODVeEwqlQpLly5VKrt3757Qp08f4eOPP1ap//XXXwuurq5CZmamWFZaWqpSLy8vTxg0aJAwZ84cpfKgoCDBx8dHbSw+Pj5CUFCQSnlKSooglUqF6OhosayxzuXChQsFd3d3obKyUm1MdXXlyhVBKpUK4eHhtdZTdywKcrlc5VgEQRD27t0rSKVS4dChQ2KZ4hrs2bOncOPGDZVtli5dKkil0gYciSAUFRUJUqlUWLFixRPrqrt+1JUJQv2vq/oKCgpSOWZ112ZVVZUQFBSkct5DQkIEqVQqzJ07V+k9eOHCBUEqlQpr164Vy06cOKH2OI8ePSpIpVKVOMaPHy+MHj1aKC4uVipXXKvVrwfFufviiy+U6n777beCVCoVvLy8hKKiIrFcce1Vj68mL9Nn4MCBA1U+fxoiNDRUqKioeOp2iIiI/o14W5tnJCAgQGW+1oEDB2BoaAgPDw8UFBSI/4qLi+Hm5oacnBxkZGQobdOrVy907NhRfCyRSMTep6NHjwIAiouLkZSUBHd3d+jq6iq13bp1a9ja2uLUqVNiG3p6epBIJAAe97gVFhaioKAAffr0gVwux19//fVMXpPqfvvtN1RUVGDkyJFK8RYUFMDNzQ1yuRzJycli/erDGUtLS1FQUABNTU04OTnh4sWLzzTWpz2XRkZGKCsrQ1JSEoSnGIGv6B06ffo07t+/36A2JBKJeCxVVVUoKipCQUEBXF1dAQAXLlxQ2aZ///5P1UOtjq6uLnR0dHDhwgXk5OQ0Wrv1va4aQ/Vrs7y8HAUFBXj48CF69+6NkpISpKenq2wzfvx48T0IAF26dIGBgYHS+z8hIQEA8NZbbylt6+HhIfZWKly7dg1Xr17F8OHDUVlZqXTc3bt3h76+Pk6ePKkSx4QJE5QeK3rkvb29xesNADp06ABDQ0OVz6favAyfgUZGRrhx4wauXbtW59eFiIiI6odDgp8Re3t7lbL09HSUlJRg6NChNW53//59pS+jbdu2Vanz6quvAgCys7PFduVyOaKiohAVFaW23erD+GQyGcLDw3HgwAFkZmaqJFEPHz6s+cAaieJL/MyZM2usUz0py8rKwvr163Hy5EkUFRUp1av+xf9ZeNpzGRgYiLS0NCxcuBAmJibo0aMH+vXrhyFDhtRr8SJra2tMnjwZ4eHhGD58OF577TW4urrC09MTXbp0qXM78fHx2Lp1Ky5fvgyZTKb0nLpzr+74n5a2tjbmz5+Pb7/9Fn5+fnj11Vfh4uICDw8P9OzZs8Ht1ve6agylpaXYuHEj4uPjcefOHZXn1b2m6obVm5iYoLCwUHycnZ0NDQ0NleQUeDzE/datW+LjmzdvAng85zI0NFRtnOqO+5/De42NjQFA7ZDjFi1aKMX3JC/DZ+D8+fOxdOlSjB8/HjY2NnBxcYGbmxvc3d2hocHfg4mIiBoDE9ZnRN1qmIIgoGXLlli+fHmN2zk4ODR4nyNGjICPj4/a56qvtPrdd99hx44dGDJkCCZPnoyWLVtCS0sLf//9N9auXftUvYB1pdjHsmXLYGFhobaO4gtmaWkpgoKC8OjRI0yYMAHt27eHoaEhJBIJwsPD6zVfrKbktqqqqsZtnvZc2tvbY9euXUhOTkZKSgrS0tKwfPlycUGXus4JBh4nYn5+fkhKSsLZs2cRFRWFiIgIvP3223jvvfeeuP2RI0fw0UcfoUuXLli4cCEsLS2ho6MDuVyOOXPmqD33z2pl14CAAHh4eCApKQmnT5/G4cOHsXPnTgwZMgQrVqxoUJv1ua4ayyeffIKkpCT4+/ujR48eMDExgYaGBo4fP47t27dDLperbFNTMtPQ955iu4kTJ6JPnz5q67Ro0UKl7J+3C3pSeX3iexk+Az08PBAdHY3jx48jLS0NycnJiIqKgrOzM77//nsuokRERNQImLA+R3Z2dsjIyEDXrl1hYGBQp23UDSe8ceMGgP998ba1tYVEIoFMJkOvXr2e2OaBAwfQo0cPlaQgMzNTpe6z6r20s7MDAJiamj4x5uTkZNy7dw9LlixRWSF2w4YNKvVri7lFixZqe08UPTV1Vd9zqaOjg/79+4urwCYlJeH999/Htm3b8OGHH9Zr37a2thg/fjzGjx+P8vJyzJkzB1u2bMHEiRNhZmZW6/EfOHAAurq6CA0NVUoo1F1nT9IY14aFhQVGjRqFUaNGoaqqSlyQZ+LEifXqNVaoz3XVGIqKipCUlAQvLy98/PHHSs897dBjGxsbyOVy3Lp1SyWJU/SoKih6MzU0NJ7LcTfUv/Ez0MTEBF5eXvDy8oIgCFi7di22bNmCxMREeHp6PjEWIiIiqh3HLD1H3t7ekMvlWLdundrn8/PzVcpOnTqFv//+W3wsCAK2bNkCAOItJkxNTdGvXz8cOXIE58+fV2lDEAQ8ePBAfKyhoaHSg/Do0SNs375dZVvF/LzGHiY8ZMgQ6OjoIDQ0FGVlZSrPFxcXo6KiAsD/env+GfPJkyfVzrk0MDDAw4cP1faS2NvbIz09HXfv3hXLKioqsGvXrnrFX59zWVBQoPK8Yk5efYZYFhcXqwzh1dXVFYdMKs6RIhFQ17aiZ696r58gCPjxxx/rHIeC4tqozzEolJWVqZx3TU1NdOjQAcCTrzcDAwO1+63PddUYFK/nP6+1vLw87Nu376naVqyWGxERoVSekJCgNBwYABwdHeHg4IA9e/YgKytLpS2ZTNag89TY/k2fgYo54NVJJBI4OjoCaNj7goiIiFSxh/U58vT0hK+vL3bu3Im///4bbm5uMDU1xd27d/Hnn38iKytLZf5Vhw4dMH36dIwdOxYWFhZITExEcnIyvLy8lG4hsnjxYkyZMgVBQUHw9vaGo6Mj5HI5srOzcezYMXh5eWHatGkAgMGDByMyMhIfffQRevbsifz8fMTExMDExEQl5i5dukBDQwObNm3Cw4cPoa+vDxsbGzg5OT3Va2FpaYnFixdj+fLlGDt2LLy8vGBtbY0HDx7g2rVrSEhIwK5du9C6dWt0794d5ubmWLVqFW7fvi3eruPAgQNo3769yoInTk5O+P333/HVV1+hW7du0NDQgKurK8zMzDBu3DgcOnQIM2fOxJgxY1BZWYkDBw7Ue9hrfc7lrFmzYGxsDGdnZ1haWqKoqAgxMTGQSCTw8vKq8z5TU1Px+eefY9CgQWjTpg0MDAxw6dIlREVFwcnJSUxc27VrB0NDQ+zevRt6enowNjaGmZkZXF1dMXjwYBw5cgTTp0+Ht7c3ZDIZEhMT1SZ3T9K1a1fs3LkTX3zxBfr37w8tLS04OTnVacjtrVu3MHXqVAwcOBAODg4wNjZGeno6du/eDRsbG3Hxn5o4OTkhOTkZ4eHhsLKygkQiwbBhw+p1XTUGQ0ND9O7dG3FxcdDV1UWXLl1w+/Zt8fYvT5O09OnTB25uboiNjUVhYSH69u2LrKwsREZGwsHBAdevXxfrSiQSfPbZZ5gxYwYmTJggzgsuKytDVlYWjhw5gtmzZ9f5HrnPyr/pM7BNmzYYPnw43N3d4ejoiJYtWyInJwe7d+9GixYt4O7u/mxfTCIiopcEE9bnbOnSpXBxccHevXsRHh6OyspKmJubo2PHjpg1a5ZKfXd3d7Rp0wbh4eG4desWzMzMMGXKFEyZMkWpnpWVFbZu3YrNmzcjMTERcXFx0NHRgaWlJdzc3DBkyBCx7vz582FoaIj4+HgkJibC0tIS/v7+6Ny5s8piNVZWVliyZAk2b96ML774AjKZDD4+Pk+dsAKAn58f7O3tsXXrVkRGRqKoqAimpqZo06YNZsyYAXNzcwCPF4JZt24d1qxZgx07dqCqqgodO3bE6tWrERUVpZKwvvnmm8jOzsbhw4exZ88eyOVyhISEwMzMDN27d0dwcDA2aL5sVAAAnaBJREFUbdqE1atX45VXXsGYMWPQuXNnzJgxo17x1/VcBgQEID4+HpGRkSgsLISJiQkcHR3xwQcfwMXFpc7769ChAwYOHIjTp0/j4MGDqKqqgpWVFQIDAzFx4kSxnp6eHj7//HNs2LABK1euREVFBXr06AFXV1cMGzYMpaWl2L59O1avXg1jY2O4u7tj9uzZGDx4cL2Of9iwYbh8+TIOHTqEw4cPQy6XY+nSpXVKWC0tLeHn54fTp08jISEBlZWVaNWqFfz9/TFp0qQn/oCwePFifPnll/jpp59QUlIixgPU/bpqLP/973+xdu1a/P7779i/fz/s7Owwc+ZMaGlpYdmyZU/V9ooVK7BhwwYcPHgQycnJcHBwwNdff42DBw8qJazA417Wbdu24aeffsKxY8ewZ88eGBoawtraGr6+vuJK0E3t3/IZ+Mknn2DChAlITk5GcnIySktLYWFhAXd3dwQGBqJVq1bP5gUkIiJ6yUiE57HCDtVbTk4O/Pz8EBQUJPYKEBG9LF6mz8CNGzciMDCQizQRERGpwTmsRERERERE1CxxSDDVW1VVldICJjUxMTFhj0EdlJaWorS0tNY6mpqaaNmy5XOKqOHKyspQXFz8xHo13XLmeSkuLn7ivF1tbW21cxqJiIiI6Plhwkr1dufOHZXby6gTEhJSrzmaL6uIiAiEhYXVWsfa2hoxMTHPKaKGi4+Pr9O8zdTU1OcQTc2++eYbxMbG1lqnR48e2Lhx43OKiIiIiIjU4RxWqrfy8nKcPXv2ifU6deqEFi1aPPuAXnBZWVlPvA+srq4uunfv/nwCegp5eXkqiwGp09T3Cr1x4wbu3btXa50WLVqgU6dOzykieplxDisREVHNmLASERE1ISasRERENeOiS0RERERERPT/2LvzuKiq/3/gr2FHZFcRQXBfEEwdcEkhFElDQFHsY66BYuKSpZZWfhXLPpl9cjdBUhHRcg8wNCkB00LApczdhFQW2QTZZL2/P/zNjXEGYRB0ytfz8eiRnjn33HPvOfc67znn3KuWGLASERERERGRWmLASkRERERERGqJASsRERERERGpJQasREREREREpJYYsBIREREREZFaYsBKREREREREaokBKxEREREREaklBqxERERERESklhiwEhERERERkVpiwEpERERERERqiQErERERERERqSUGrERERERERKSWGLASERERERGRWmLASkRERERERGqJASsRERERERGpJQasREREREREpJYYsBIREREREZFaYsBKREREREREaokBKxEREREREaklBqxERERERESklhiwUpMrKCjAsmXLMHLkSDg6OmLmzJnPu0r0D+Lo6IigoKDnXQ21puwceXl5KVxrM2fOhJeX1zOsGREREVHT0nreFSD1cu3aNcTHx8PLywvt2rVrVBlr165FbGws/P39YWVlBTMzsyaupbzo6GgUFRVh4sSJzbofdZWRkYHo6Gi4urqie/fuzbaf+Ph4XLt2DW+99Vaz7aMuISEh6N69O1xdXZ/J/k6ePIlvv/0WaWlpuH//PoyMjGBlZYWXXnoJ06ZNg4mJicplPqt2qs+Lfr2oas+ePTA0NGTgT0RE9JwwYCU5169fR2hoKKRSaaMD1jNnzmDgwIEICAho4topFx0djczMzBf2C3hGRgZCQ0PRrl27Zg9Yjxw50uwB6+nTp6GpqSmXFhoaCk9Pz2cSsG7YsAHh4eHo2rUrfH19YWZmhtzcXNy8eROHDh2Cu7t7owPWZ9FOtW3evBmCIMilvejXi6q++eYbWFpaMmAlIiJ6ThiwNoPq6mpUVlZCT0/veVflucjLy4OxsfHzrkaTeNHbEgBKSkpgYGDwzPanq6v7zPb1uPz8fERERMDOzg7bt2+Hlpb8LbK0tPQ51axxtLW1n3cVADz7PkRERET/HhLh8Z/fSSXR0dFYsWIFNm/ejIsXLyI6OhpZWVlYunQpvLy8IAgCDh48iO+++w6pqanQ0NCAnZ0dAgIC4OjoKJaTkZEBb29vBAQEwNbWFmFhYbh9+zZMTU3h7e2N6dOnK3x5zs3NRWhoKE6dOoW8vDyYmJjA2dkZgYGBctNwc3JyEBERgeTkZGRmZqK8vBxWVlYYNWoUpkyZIo5mhYSEIDQ0VOEYPT09G7SmsK7tly9fLo5OnDlzBuHh4bh06RIqKipgY2MDX19f+Pr6ym2TmJiIyMhIXL58Gbm5udDW1kavXr3g7+8PqVQq5vPy8kJmZqbCPoODg+Ho6AgvLy9YWlpi69atcp+npKRg1qxZcnVrqrYEgCNHjmDfvn24ffs2qqqqYG5uDgcHByxcuBCmpqb1nkuZrKwshISEIDk5GXl5eWjZsiXat2+PsWPHwtPTU6zz4/r164etW7eipqYGO3bsQGJiIm7fvo3CwkKYm5tjyJAhCAwMlBsprN0HO3bsiPDwcKSmpsLd3R0ZGRk4d+6cwn5qn7/6FBYW4uuvv8bJkyeRk5MDfX19WFpa4tVXX8XUqVPFfI6OjmKfk9VJmZSUFPHPDe1X9bl48SL8/PwwefJkvPPOO/XmLykpwc6dO3HmzBncvXsXpaWlsLCwgJubGwICAsQfOuprJwAq9a/a50hGWV+fOXMmMjMzER0dLeZ50vUCALdv30ZoaCiSkpJQWFiI1q1bY/jw4Zg5cyb09fXrPSeyeixYsACbNm3CxYsXYWxsjKioKJXKDwoKwpEjRxAbG4u1a9fi9OnTKC8vh4ODA+bPn48ePXoo7Pv48ePYu3cvbty4gerqanTp0gVTpkzB8OHDFfIdPXoU169fR35+Plq0aIE+ffpg1qxZ6Nq1q9x5ViYqKgrt2rXDb7/9hm3btuHatWsoKiqCsbExunbtioCAADg4ONR7rmS2bt0KPz8/tfmBgYiISJ1whLWJrF+/HlVVVfDx8YGBgQFsbW0BAMuWLcMPP/wANzc3eHl5obKyEkePHsWcOXOwevVqvPLKK3LlnDx5Eunp6Rg/fjzMzc1x8uRJhIaGIisrC8uXLxfzZWVlwc/PD5WVlRg9ejSsra1x584dHDx4ECkpKdi1axdatmwJALhx4wbi4uLg6uoKa2trVFVV4ddff8WmTZuQnp6Ojz76CAAwbNgw5Obm4vDhw/Dz80PHjh0BANbW1g06B8OGDUP79u2xbNky9O3bFz4+PgCA3r17AwAOHTqEzz77DA4ODvD394e+vj7OnDmDVatWIT09HfPnzxfLio6ORmFhITw8PGBhYYHs7GxERkZi9uzZCA4ORt++fQEACxcuxKZNm1BQUIAFCxaI28vq3hhP25bff/89goKC0LdvX8yaNQu6urq4d+8eTp8+jfz8/AYHrFVVVZgzZw5ycnLg6+sLGxsbFBcX4+bNmzh//jw8PT3Rt29f+Pn5YceOHfDx8RHPi+wHi8rKSuzatQvDhg3DK6+8Aj09PVy+fBmRkZG4cOECIiIiFL4kJyQkYO/evRg3bhzGjRsHAwMDGBkZQRAEnD9/Hh9//LGYV9a2DbFkyRKcO3cO48aNQ9euXVFeXo7U1FScPXtWLmCtzdTUFB9//LFCn6pNlX5VHysrKwDAzz//jEmTJqF169ZPzJ+Tk4PIyEgMGzYMI0eOhKamJs6dO4fw8HBcu3YNmzZtAoB62wlQ/V7RGPVdL1euXMGsWbNgaGiIsWPHok2bNrh+/Tq+/fZb/Pbbb9i6davCD2fK3Lt3D4GBgRg+fDiGDRsmjkw3pvx58+bByMgIAQEByMvLw759+zBz5kxs374dXbp0EfN99dVX2L59O15++WXMmjULGhoaiIuLw5IlS/D+++/j9ddfF/Pu27cPxsbG8PHxQatWrXD37l0cPnwY06dPR0REBGxsbAAAH3/8MdasWQMTExP4+/uL25uamiItLQ1z5syBubk5JkyYADMzM+Tn5+PChQu4fv26SgErERERPYFATyUqKkqQSqWCj4+PUFZWJvfZiRMnBKlUKhw8eFAuvbKyUpg8ebLg5eUl1NTUCIIgCOnp6YJUKhWcnJyEK1euiHlramqEhQsXClKpVPj999/F9HfffVcYPny4kJWVJVf2pUuXhP79+wvBwcFiWllZmbif2pYuXSo4OTkJOTk5CseTnJzciLPxiFQqFZYvXy6XlpOTIwwaNEj48MMPFfJ/8cUXgpOTk3Dnzh0xrbS0VCFfbm6uMGzYMGHevHly6QEBAYKnp6fSunh6egoBAQEK6cnJyYJUKhWioqLEtKZqy0WLFgkuLi5CZWWl0jo11PXr1wWpVCqEhYU9MZ+yY5GpqalROBZBEITDhw8LUqlUOH78uJgm64P9+/cXbt26pbDN8uXLBalU2ogjEYSioiJBKpUKn332Wb15lfUfZWmCoHq/aojPP/9ckEqlwsCBA4UZM2YI69atE2JjY4XCwkKFvBUVFUrb+auvvhKkUqlw8eJFMe1J7aRK/xIE5edDWV9Xdm086XqZMGGCMHbsWKG4uFhp/ZTV/XGenp6CVCoVDh8+/FTly/rbokWL5I798uXLgqOjozB37lwx7cqVK4JUKhU2bdqksM8FCxYILi4ucvtUdn+5deuWMHDgQIU+Wtc95JtvvlFo48YKCQkRKioqnrocIiKifyO+1qaJ+Pr6KqxzjImJgYGBAVxdXVFQUCD+V1xcDGdnZ2RkZOD27dty2wwYMEBuqptEIhFHn+Li4gAAxcXFOHXqFFxcXKCrqytXdrt27WBtbY0zZ86IZejp6UEikQB4NOJWWFiIgoICDBo0CDU1Nbh8+XKznJPafvzxR1RUVGD06NFy9S0oKICzszNqamqQlJQk5q89NbC0tBQFBQXQ1NSEvb09Ll261Kx1fdq2bNmyJR4+fIhTp04pPPBGFbIR8rNnzyI/P79RZUgkEvFYqqurUVRUhIKCAjg5OQEA/vjjD4VthgwZ8lQj1Mro6upCR0cHf/zxBzIyMpqsXFX7VUO89957WLFiBXr37o1Lly5h165dWLJkCUaOHIkNGzagurpazKutrS2OCFZVVeHBgwcoKChA//79ASg/v8o05l7R1G7evIkbN25g5MiRqKyslKtHnz59oK+vj8TExAaVZWxsrDBVvLHlT506Vbx/AUDPnj0xYMAAJCUliSO3R48ehUQiwahRoxT6gYuLC0pKSnDx4kWxDNn9RRAEFBcXo6CgAKamprC1tW1wm8muz4SEBJSXlzdoGyIiIlIdpwQ3EdkUstrS0tJQUlKCV199tc7t8vPzxSmnANChQweFPJ06dQIApKeni+XW1NQgMjISkZGRSsuVTW0EHn2RDgsLQ0xMDO7cuaMQRD148KDuA2siaWlpAIDZs2fXmad2UHb37l1s3rwZiYmJKCoqkstX+8trc3jatvTz88O5c+ewaNEiGBsbo1+/fhg8eDDc3d1VevCMpaUl/P39ERYWhpEjR6Jbt25wcnLC8OHD0atXrwaXExsbi4iICFy7dg1VVVVynylre2XH/7S0tbWxYMECfPnll/D29kanTp3g6OgIV1dXMbhrDFX7VUPIAp9Ro0ahsrISN27cQGJiIr755huEh4fD0NAQfn5+Yv79+/fj4MGDuHXrFmpqauTKerzvPuk4VL1XNLXU1FQAj9aih4SE1FmHhrCyslJ40nNjy1f240nHjh2RmJiIzMxMdO7cGampqRAE4YlrlvPy8sQ/X716FcHBwTh79izKysoU6t4Qr776KmJiYrBjxw7s2bMHDg4OGDhwIEaMGAFLS8sGlUFERET1Y8DaRJQ9RVYQBJiammLlypV1bte5c+dG7/O1116Dp6en0s9qP2l17dq12Lt3L9zd3eHv7w9TU1NoaWnh6tWr2Lhx41ONAjaUbB8rVqxAq1atlOaRfVEsLS1FQEAAysrK8MYbb6BLly4wMDCARCJBWFgYkpOTG7zfuoLb2qNkj3vatrSxscH+/fuRlJSE5ORknDt3DitXrhQfStXQNcHAo0DM29sbp06dwoULFxAZGYldu3Zh6tSpePvtt+vd/sSJE/jggw/Qq1cvLFq0CBYWFtDR0UFNTQ3mzZuntO2b64nIvr6+cHV1xalTp3D27Fn89NNP2LdvH9zd3fHZZ581qkxV+lVjaGtrw87ODnZ2dhg2bBjGjx+PyMhIMWCNiIjAunXrMHDgQEyYMAGtWrWCtrY2cnJyEBQUpBDAPuk4mvNe0dA6AMDkyZMxaNAgpXmMjIwaVFZd11BTla+MRCLBhg0boKGhfOKQ7PxlZWVh5syZMDAwwPTp09GhQwdxFsqXX36pEMDWRUdHB1999RX++OMPJCYm4ty5c+I1vnLlSgwdOrTRx0JERER/Y8DajNq3b4/bt2/DwcEBLVq0aNA2shGj2m7dugXg7y/e1tbWkEgkqKqqwoABA+otMyYmBv369VMICu7cuaOQt7lGL9u3bw8AMDExqbfOSUlJyMnJwbJlyxSeELtlyxaF/E+qs5GRkdJRRNlodUOp2pY6OjoYMmQIhgwZAgA4deoU3nnnHezevRuLFy9Wad/W1taYMGECJkyYgPLycsybNw/h4eGYPHkyzMzMnnj8MTEx0NXVRUhIiFwQoayf1acp+karVq0wZswYjBkzBtXV1eKDhiZPnqzSqLGMKv3qaXXo0AFGRkbIyckR02JiYtCuXTuFQOmXX35R2P5J568x94rGqqsespF1DQ2NZjmXjS0/NTVV4QFGqamp0NTUFEcy27dvj19++QVt27atdzp7XFwcSktLsWbNGoWnABcWFkJHR0curb5+b29vD3t7ewCPguFJkyZhy5YtDFiJiIiaCNewNqNRo0ahpqZGfFLo42pPUZM5c+YMrl69Kv5dEASEh4cDAFxdXQE8+nI+ePBgnDhxQm5dVu1t7t+/L/5dQ0NDYSStrKwMe/bsUdhWtrarqacJu7u7Q0dHByEhIXj48KHC58XFxaioqAAAcSrh43VOTExUur6sRYsWePDggdLRQhsbG6SlpSE7O1tMq6iowP79+1WqvyptWVBQoPC5bF1yYWFhg/dZXFysMIVXV1dXnDYuayNZgKOsbFkQVXukTxAEbNu2rcH1kJH1DVWOQebhw4cK7a6pqSm+QqS+/taiRQul+1WlXzVEbm4url27pvSz8+fPo7CwUC4g0tTUhEQiket7sin4yo4BUH7+GnOvaKy6rpfu3bujc+fOOHjwIO7evauwXVVVVaPa/mnLDw8Pl6vr1atXkZSUBCcnJ/Gcenh4AAA2b96sdPZE7fMnuyYeP/7Dhw8rPc/6+vpK+6ey69zCwgKmpqZPdZ6IiIhIHkdYm9Hw4cPh5eWFffv24erVq3B2doaJiQmys7Px+++/4+7duwprULt27YpZs2Zh/PjxaNWqFRISEpCUlAQPDw+5V4gsWbIEM2bMQEBAAEaNGoXu3bujpqYG6enpOHnyJDw8PPDWW28BANzc3HDo0CF88MEH6N+/P/Ly8hAdHQ1jY2OFOvfq1QsaGhrYvn07Hjx4AH19fVhZWYkjCI1lYWGBJUuWYOXKlRg/fjw8PDxgaWmJ+/fv4+bNm4iPj8f+/fvRrl079OnTB+bm5li3bh0yMzPFV1/ExMSgS5cuuHnzplzZ9vb2+Pnnn7F69Wr07t0bGhoacHJygpmZGV5//XUcP34cs2fPxrhx41BZWYmYmBiVp72q0pZz5syBoaEh+vbtCwsLCxQVFSE6OhoSiUT8Yt0QKSkp+PTTTzFs2DDY2tqiRYsWuHLlCiIjI2Fvby8Grh07doSBgQEOHDgAPT09GBoawszMDE5OTnBzc8OJEycwa9YsjBo1ClVVVUhISFAa3NXHwcEB+/btw6pVqzBkyBBoaWnB3t6+QVNu//rrL8ycORNDhw5F586dYWhoiLS0NBw4cABWVlbia17qYm9vj6SkJISFhaFt27aQSCQYMWKESv2qIbKzszF16lTY29vDyckJVlZWqKysxPXr13Hs2DFoaWlhzpw5Yn43Nzds2rQJb7/9NoYOHYqSkhL88MMPSl/98qR2asy9orGedL18/PHHCAwMxBtvvCGuNX748CHu3r2LEydOYO7cuQ1+7+7jJBJJo8rPzMzE3Llz4eLigtzcXOzbtw+6urpyryvq1asXZs6cia1bt2LixIkYPnw4WrdujdzcXFy5cgWnT58WH+g0ePBgbNy4EcuWLcPrr78OQ0ND/Pbbb/jll19gbW2tEPA6ODggMjISW7ZsQceOHSGRSODi4oJt27YhMTERQ4YMgZWVFQRBwM8//4y0tLQ6X9NEREREqmPA2syWL18OR0dHHD58GGFhYaisrIS5uTl69Ogh98VXxsXFBba2tggLC8Nff/0FMzMzzJgxAzNmzJDL17ZtW0RERGDnzp1ISEjA0aNHoaOjAwsLCzg7O8Pd3V3Mu2DBAhgYGCA2NhYJCQmwsLCAj48P7OzsFB5W07ZtWyxbtgw7d+7EqlWrUFVVBU9Pz6cOWAHA29sbNjY2iIiIwKFDh1BUVAQTExPY2toiMDAQ5ubmAABDQ0Ns2rQJGzZswN69e1FdXY0ePXpg/fr1iIyMVAhYJ02ahPT0dPz00084ePAgampqEBwcDDMzM/Tp0wdBQUHYvn071q9fjzZt2mDcuHGws7NDYGCgSvVvaFv6+voiNjYWhw4dQmFhIYyNjdG9e3e8//77ClMQn6Rr164YOnQozp49i2PHjqG6uhpt27aFn58fJk+eLObT09PDp59+ii1btmDNmjWoqKhAv3794OTkhBEjRqC0tBR79uzB+vXrYWhoCBcXF8ydOxdubm4qHf+IESNw7do1HD9+HD/99BNqamqwfPnyBgWsFhYW8Pb2xtmzZxEfH4/Kykq0bt0aPj4+mDZtWr0/ICxZsgSff/45duzYgZKSErE+QMP7VUN06NABixcvxpkzZ3D8+HHk5+ejqqoKrVq1gqurKyZNmiT3FO8pU6ZAEARERkbiyy+/hLm5Odzd3eHt7Y3x48fLlf2kdgJUv1c01pOul+7du2P37t3YsWMHTp48iYMHD8LAwACWlpbw8vIS69pYjSl/48aNWLNmDbZu3YqHDx/CwcEB8+fPF0fnZWbOnAk7Ozt8++23+Oabb1BWVgYzMzN07twZixYtEvNZW1tjw4YN2Lx5M3bs2AENDQ289NJLCAkJwerVq5GZmSlX7uzZs1FYWIj9+/ejqKgIgiAgKioKr7zyCnJzc/Hjjz8iPz8furq6aN++PZYuXYrRo0c/1XkiIiKiv0mEZ/HEHapXRkYGvL29ERAQII6MEhG9qIKCgnDkyBGkpKQ876o0u61bt8LPzw/a2trPuypERERqh2tYiYiIiIiISC1xSjDVq7q6Wu4hTnUxNjbmCEEDlJaWorS09Il5NDU1YWpq+oxq1HgPHz5EcXFxvfnqeuXMs1JcXFzvul1tbW2l67qJiIiI6PlhwEr1unfvnsLrZZQJDg5WaY3mi2rXrl0IDQ19Yh5LS0tER0c/oxo1XmxsLFasWFFvvuc9rfN///sfjhw58sQ8/fr1w9atW59RjYiIiIioIbiGlepVXl6OCxcu1JuvZ8+eMDIyav4K/cPdvXu33vfA6urqok+fPs+mQk8hNzcXf/75Z735mvsdqfW5deuW3PtTlTEyMkLPnj2fUY2I/sY1rERERHVjwEpERPQcMWAlIiKqGx+6RERERERERGqJASsRERERERGpJQasREREREREpJYYsBIREREREZFaYsBKREREREREaokBKxEREREREaklBqxERERERESklhiwEhERERERkVpiwEpERERERERqiQErERERERERqSUGrERERERERKSWGLASERERERGRWmLASkRERERERGqJASsRERERERGpJQasREREREREpJYYsBIREREREZFaYsBKREREREREaokBKxEREREREaklBqxERERERESklhiwEhERERERkVpiwEpERERERERqiQErERERERERqSUGrM2soKAAy5Ytw8iRI+Ho6IiZM2c+7yqRCoKCguDo6NgsZWdkZMDR0REhISHNUj4RERER0T+d1vOugDq7du0a4uPj4eXlhXbt2jWqjLVr1yI2Nhb+/v6wsrKCmZlZE9dSXnR0NIqKijBx4sRm3Q81j6KiIuzZswdSqbTZAmUACAkJQWhoaIPyenp6IigoqNnq0ljR0dFYsWIFVq1aheHDhyvNk5GRAW9v7waXmZKS0lTVo2Zw+fJlTJ06FRs3bsSgQYNQXV2NY8eO4dChQ7h79y6KiopgYmKC9u3bo2/fvvD394eOjg4A5f2ldv/w8/PDnDlzFPbp5eUFfX197Nu3T0wLCgrCkSNH6qzn6NGj8X//939NeehEREQvLAasT3D9+nWEhoZCKpU2OmA9c+YMBg4ciICAgCaunXLR0dHIzMxkwPoPYGlpidOnT0NTU1NMKyoqEgPJ5gxYhw0bhvbt28ulrVmzBgCwYMECuXRra+tmq0dzMzU1xccffyyXFhcXh7i4OPj5+aFjx47PqWbUGHFxcWjZsiWcnJwAAEuXLkVsbCxeeuklTJo0CUZGRrh37x6uXr2K8PBwTJgwQQxY6/PNN9/gP//5D1q1atXg+ixZsgQtWrRQSH/82iIiIqLGa/aAtbq6GpWVldDT02vuXamlvLw8GBsbP+9qNIkXvS2bmkQiga6u7nPZd9euXdG1a1e5tC1btgAAPDw8nkeVmoW+vr7C8dy5cwdxcXEYMGBAvT8KlJSUwMDAoDmrSCqIj4/H4MGDoaWlhStXriA2NhZDhw7FF198oZC3oKAALVu2bFC5dnZ2uHz5MkJCQvDRRx81uD7Dhw+HiYlJg/MTERGR6po0YJVNudq8eTMuXryI6OhoZGVlYenSpfDy8oIgCDh48CC+++47pKamQkNDA3Z2dggICJD74iibphUQEABbW1uEhYXh9u3bMDU1hbe3N6ZPnw4tLfmq5+bmIjQ0FKdOnUJeXh5MTEzg7OyMwMBAuWm4OTk5iIiIQHJyMjIzM1FeXg4rKyuMGjUKU6ZMEUe7ak+ZnDVrlrh9Q6dH1t7+yJEj4vSx5cuXw8vLC8Cj0dfw8HBcunQJFRUVsLGxga+vL3x9feXKSkxMRGRkJC5fvozc3Fxoa2ujV69e8Pf3h1QqFfN5eXkhMzMTgPzoXHBwMBwdHeHl5QVLS0ts3bpVrvyUlBTMmjVLrm5N1Zay49+3bx9u376NqqoqmJubw8HBAQsXLoSpqWm957K2hraz7PwfOHAA33//Pb7//nvcv38fHTp0wJw5czBkyBC5csvLyxEcHIyjR4+iqKgInTt3xuzZs1WqW21ZWVkICQlBcnIy8vLy0LJlS7Rv3x5jx46Fp6cnAPl+/tZbb4ntAAChoaFi/7G0tER0dLRY9vHjx7F3717cuHED1dXV6NKlC6ZMmVLntNjG2r17N9auXYtNmzZh4MCBcp9VVFTgtddeQ9euXREcHAwAYv9asGAB1q1bh0uXLkFbWxvOzs6YP3++wnT4iooKRERE4NixY7h79y50dHTQt29fvPXWW+jRo0eTHktDODo6wtPTEx4eHggJCcH169fRs2dPbN26tcH3DeDva2fLli24evUqDhw4gOzsbFhaWsLf319sf5lTp04hPDwcf/75Jx4+fAgTExPY2dlh7ty5sLW1BfD3FNTY2FisXbsWp0+fRnl5ORwcHDB//nyF81VVVYWIiAh8//33SE9Ph76+Pvr27YtZs2ahS5cucnkben2eO3cOX3/9NS5duoSqqip06NAB48ePx5gxY+TKmzlzJjIzM7F9+3asXbsWv/76KyoqKtC3b1+899574jEBj667sLAw/PDDD7h37x60tbVhYWGBl19+GfPnz5crNy0tDampqXjrrbcAALdv3xbbTRlVAslevXrBwsICUVFRmDRpEjp06NDgbYmIiKh5NcsI6/r161FVVQUfHx8YGBiIX1CWLVuGH374AW5ubvDy8kJlZSWOHj2KOXPmYPXq1XjllVfkyjl58iTS09Mxfvx4mJub4+TJkwgNDUVWVhaWL18u5svKyoKfnx8qKysxevRoWFtb486dOzh48CBSUlKwa9cu8Zf2GzduIC4uDq6urrC2tkZVVRV+/fVXbNq0Cenp6eKv68OGDUNubi4OHz4sN3WwodMjZVMuly1bhr59+8LHxwcA0Lt3bwDAoUOH8Nlnn8HBwQH+/v7Q19fHmTNnsGrVKqSnp8t9WYuOjkZhYSE8PDxgYWGB7OxsREZGYvbs2QgODkbfvn0BAAsXLsSmTZtQUFAgN63zaaY9Pm1bfv/99wgKChK/LOvq6uLevXs4ffo08vPzVQpYVWlnmaCgIGhpaWHy5MmorKzEN998g0WLFuHQoUNy07w/+ugjxMfHw9nZGYMGDcLdu3fx3nvvNWoqeFVVFebMmYOcnBz4+vrCxsYGxcXFuHnzJs6fP68QsMh07NgRCxYswJo1azB06FAMHToUAOSmHH711VfYvn07Xn75ZcyaNQsaGhqIi4vDkiVL8P777+P1119Xub51GTVqFDZv3oyoqCiFgDUuLg6FhYUKwUp2djYCAwMxbNgwuLm54erVq4iKisKVK1cQHh4ujs5XVVVh3rx5+P333+Hh4YHXX38dxcXFOHz4MKZPn47Q0FDY2dk12bE01OXLl3HixAmMGTNGrp0aet+obfPmzSgvL8fYsWOho6ODAwcOICgoCNbW1ujTpw8A4OzZs1iwYAE6d+4MPz8/tGzZErm5uUhKSsKdO3fkgjsAmDdvHoyMjBAQEIC8vDzs27cPM2fOxPbt2+UC0f/7v/9DbGwsBgwYgHHjxiEvLw/79++Hn58fQkNDxQC3odfnyZMn8d5778Hc3ByTJ09GixYtcPz4caxcuRLp6ekKaz/LysoQEBAABwcHzJkzB+np6fj222+xcOFC7N27VwzwP//8c0RFRWHUqFGYNGkSqqurcefOHSQnJyucz/j4eOjo6ODll18G8Pe9+KeffsJrr70GIyMjldr6cXPmzMHJkyexefNmpSO2yhQWFipNNzAwgLa29lPVh4iIiP4/oQlFRUUJUqlU8PHxEcrKyuQ+O3HihCCVSoWDBw/KpVdWVgqTJ08WvLy8hJqaGkEQBCE9PV2QSqWCk5OTcOXKFTFvTU2NsHDhQkEqlQq///67mP7uu+8Kw4cPF7KysuTKvnTpktC/f38hODhYTCsrKxP3U9vSpUsFJycnIScnR+F4kpOTG3E2HpFKpcLy5cvl0nJycoRBgwYJH374oUL+L774QnBychLu3LkjppWWlirky83NFYYNGybMmzdPLj0gIEDw9PRUWhdPT08hICBAIT05OVmQSqVCVFSUmNZUbblo0SLBxcVFqKysVFonVajSzsHBwYJUKhXmz58v195//PGHIJVKhY0bN4ppv/76q9J2iouLE6RSqSCVSlWq5/Xr1wWpVCqEhYU9MZ+sn9eut7I0mStXrghSqVTYtGmTwmcLFiwQXFxchOLiYpXqWpunp6dC3/nwww+FQYMGCQUFBXLpgYGBwtChQ4WHDx/KbS+VSoXdu3fL5Y2IiBCkUqmwY8cOhbRffvlFLm9RUZHg4eGhtJ8+TtZHY2NjG3qIgiD83Tcev65lbZ2YmKiwTWPuG2+88YZQUVEhpt+7d08YOHCg8MEHH4hpX375pSCVSoW8vLwn1nn58uWCVCoVFi1aJFePy5cvC46OjsLcuXPFNFl/XrJkiVzea9euCf379xemT58upjXk+qyqqhJGjRolvPLKK0J2draYXlFRIfj5+QlOTk7CX3/9JaYHBAQo7f87d+5UaPOhQ4cq3MPqMnXqVGH+/Plyae+8844glUqFwYMHC4GBgcLmzZuFhIQEhXuWICjvL7LrbdWqVYIgCMLKlSsV/n3x9PQUxo8fL1eWrD3q+k/VPhkSEiLXV4iIiOhvzfJaG19fX4V1jjExMTAwMICrqysKCgrE/4qLi+Hs7IyMjAxxipfMgAED5Ka6SSQSTJ06FcCjER4AKC4uxqlTp+Di4gJdXV25stu1awdra2ucOXNGLENPTw8SiQQAUFlZicLCQhQUFGDQoEGoqanB5cuXm+OUyPnxxx9RUVGB0aNHy9W3oKAAzs7OqKmpQVJSkphfX19f/HNpaSkKCgqgqakJe3t7XLp0qVnr+rRt2bJlSzx8+BCnTp2CIAiNroeq7SwzYcIEsb2BR1P/WrRoIdfX4uPjAQBTpkyR29bV1VVhhKshZKO8Z8+eRX5+vsrb1+Xo0aOQSCQYNWqUQr9xcXFBSUkJLl682GT7AwAfHx9UVFTg6NGjYlpGRgaSk5MxcuRIhTW4BgYGGD9+vFza+PHjYWBgIF6zsmPp0KEDevbsKXccVVVVGDBgAH777Tc8fPiwSY+lIbp164YBAwYopDfmvjF+/Hi5UbY2bdrAxsYGd+7cEdNkfeXEiROoqqqqt35Tp06V6889e/bEgAEDkJSUhNLSUgB/92d/f3+5vN26dYOzszMuXLiA+/fvi/uv7/q8cuUKsrKy4O3tjdatW4vp2tramDp1KmpqapCQkCC3jYaGBiZMmCCXJntQUu1rr2XLlrh16xZu3rz5xOPOycnB5cuX4erqKpf+xRdf4L333kPnzp1x9uxZbN++HQsWLMCIESMQERHxxDKVmTlzJvT09LBhw4YG5V+9ejU2b96s8F+/fv1U3jcREREp1yxTgm1sbBTS0tLSUFJSgldffbXO7fLz8+UCBGXriDp16gQASE9PF8utqalBZGQkIiMjlZZrZWUl/rmqqgphYWGIiYnBnTt3FL6kPXjwoO4DayJpaWkA8MQ1krUDnbt372Lz5s1ITExEUVGRXL7aX0ibw9O2pZ+fH86dO4dFixbB2NgY/fr1w+DBg+Hu7q7Sw2xUbWcZZVO4jY2N5abypaenQ0NDQ2lw2rFjR/z1118NricAca1iWFgYRo4ciW7dusHJyQnDhw9Hr169VCqrttTUVAiCoLDGuba8vLxGl6+Mo6MjbGxsEBUVJQYg0dHREARBYTow8KgNHp8KqaOjAysrK/GaBR4dS3l5+RPX3RYUFKBt27ZNcyANpKy/A427byjrj8bGxsjKyhL//vrrryMhIQGrVq3Cxo0b8dJLL+Hll1/GiBEjlE6XVza9v2PHjkhMTERmZiY6d+6MjIwMaGhoKM3bqVMnxMfHIz09Haampg26PjMyMsRtH9e5c2cAkGtbAGjdurXCjxmyh8/VvvYWLFiA5cuXY8KECbCysoKjoyOcnZ3h4uICDY2/f0+Nj4+HRCKBi4uLXJlaWlr4z3/+g//85z94+PAhrl69itOnT2Pv3r1Yt24dWrVqhZEjRyrUuy6tW7fGG2+8gR07duDkyZMK+3tcv379+NAlIiKiZtYsAauyp8gKggBTU1OsXLmyzu1kX34a47XXXqtzbWDtL05r167F3r174e7uDn9/f5iamkJLSwtXr17Fxo0bn2oUsKFk+1ixYkWdr1CQfdktLS1FQEAAysrK8MYbb6BLly4wMDCARCJBWFiY0rVedakruK2urq5zm6dtSxsbG+zfvx9JSUlITk7GuXPnsHLlSvGhSKq+MqWh7SxT+0vv48fQnGbPng1vb2+cOnUKFy5cQGRkJHbt2oWpU6fi7bffbnS5EokEGzZsqPO4nuYaqouPjw/Wr1+PK1euoHv37oiOjoadnR26dev2VOV26dIF7777bp2fq/pArqZQ1xOwG3PfaEjfMzExQXh4OM6fP48zZ87g/PnzWLNmDUJCQrB+/XpxzXtzaerrU6auYwfkj9/V1RVRUVE4ffo0zp07h6SkJERGRqJv37746quvxB8/4uLi0Lt37ye+x1pPTw99+vRBnz59IJVKMXfuXERFRakUsALAtGnTcOjQIWzevFnh4WxERET07D2z97C2b98et2/fhoODg9L31ikjG4ms7datWwD+Duisra0hkUjEqYT1iYmJQb9+/fDZZ5/JpdeepifTXKOXsnf0mZiY1FvnpKQk5OTkYNmyZeIL7mVkryGp7Ul1NjIyUjoS9PjoSH1UbUsdHR0MGTJE/PJ36tQpvPPOO9i9ezcWL17coH2q2s6qsLKyQk1NDf766y+FgC81NbXR5VpbW2PChAmYMGECysvLMW/ePISHh2Py5Ml1fvF+Uvu1b98ev/zyC9q2bftM3x/q5eWFr776CpGRkXjllVeQlZWFN998U2ne9PR0VFZWyo2yVlRUID09XW7GRPv27XH//n04OTk9MbhRF6rcN1SlqakJR0dH8Wm3N27cwOTJk7Ft2zasX79eLm9qaiocHBwU0jQ1NWFpaQng7/6cmpqq8OoiWX+uPfpb3/Upyyu799b2+P24MYyNjeHh4QEPDw8IgoCNGzciPDwcCQkJGD58OB48eICzZ89i3rx5DS5Tdo6ys7NVrk/Lli0xffp0rFmzRny6OxERET0/z+yb4qhRo1BTU4NNmzYp/VzZVMYzZ87g6tWr4t8FQUB4eDgAiGuZTExMMHjwYJw4cULp+j1BEMT1WsCjX/4fHw0pKyvDnj17FLaVrR1t6mnC7u7u0NHRQUhIiNJ1esXFxaioqAAA8Wmaj9c5MTERf/zxh8K2LVq0wIMHD5SO+NjY2CAtLU3uS1xFRQX279+vUv1VacuCggKFz2Xrkut6wqYyqrazKmRPNN61a5dcenx8vMrTgYFH7ff4ekRdXV0xYHtSf3pSn5O9T3Tz5s1KR8WbejqwjImJCVxdXXHs2DHs27cPenp6dY5alZSUKPSn/fv3o6SkRG794ahRo5CXl4fdu3crLae5jqWxVLlvqELZ9dGhQwfo6ekp7QPh4eFy9bh69SqSkpLg5OQk/ngk6887duyQy3vz5k2cPHkSffr0EUevG3J99ujRA23btkV0dDRyc3PFfFVVVdi1axckEonCE94borq6WukSh+7du8vt/+eff0Z1dbX41GyZ27dv1/mDgWwdb2N/2Bk/fjzatWuHkJAQ8V5MREREz8czG2EdPnw4vLy8sG/fPly9ehXOzs4wMTFBdnY2fv/9d9y9e1dhbWLXrl0xa9YsjB8/Hq1atUJCQgKSkpLg4eEhN1VuyZIlmDFjBgICAjBq1Ch0794dNTU1SE9Px8mTJ+Hh4SG+u8/NzQ2HDh3CBx98gP79+yMvLw/R0dHi+qraevXqBQ0NDWzfvh0PHjyAvr4+rKysYG9v/1TnwsLCAkuWLMHKlSsxfvx4eHh4wNLSEvfv38fNmzcRHx+P/fv3o127dujTpw/Mzc2xbt06ZGZmok2bNrh+/TpiYmLQpUsXhYeV2Nvb4+eff8bq1avRu3dvaGhowMnJCWZmZnj99ddx/PhxzJ49G+PGjUNlZSViYmLqnAZZF1Xacs6cOTA0NETfvn1hYWGBoqIiREdHQyKRiAFYQ6nSzqoYNGgQnJ2dceTIERQWFuLll1/G3bt3cejQIXTu3Bl//vmnSuWlpKTg008/xbBhw2Bra4sWLVrgypUriIyMhL29/RPf8WhiYoL27dvj+PHjsLa2hpmZGfT19eHi4oJevXph5syZ2Lp1KyZOnIjhw4ejdevWyM3NxZUrV3D69GkkJiaqfPwN4ePjg9jYWPz888/w9PRUeH2QjLW1NUJDQ/Hnn3+iZ8+euHLlCqKiotChQwe5h/C88cYbOHPmDNavX4/k5GQ4OTnBwMAAWVlZSE5OFn/QUReq3DdUsXLlSmRnZ2PAgAGwtLREeXk5YmNjUVJSglGjRinkz8zMxNy5c+Hi4oLc3Fzs27cPurq6cq/BGjhwINzd3XH8+HEUFRVhyJAh4mttdHR0sGjRIjFvQ65PTU1NvP/++3jvvfcwbdo0+Pj4oEWLFoiNjcXFixfh5+dX59rfJyktLcXIkSPh4uKC7t27w9TUFBkZGThw4ACMjIzE9aPx8fHo2rWrwiju9evX8eGHH6Jfv36QSqVo06YNysrKcOnSJcTGxsLAwAABAQEq1wt49ECpWbNmYdmyZQBQZzv/+OOPSmeZmJmZKbwKioiIiBrnmQWsALB8+XI4Ojri8OHDCAsLQ2VlJczNzdGjRw+F9/gBgIuLC2xtbREWFoa//voLZmZmmDFjBmbMmCGXr23btoiIiMDOnTuRkJCAo0ePQkdHBxYWFnB2doa7u7uYd8GCBTAwMEBsbCwSEhJgYWEBHx8f2NnZKTwEqW3btli2bBl27tyJVatWoaqqCp6enk8dsAKAt7c3bGxsEBERgUOHDqGoqAgmJiawtbVFYGAgzM3NAQCGhobYtGkTNmzYgL1796K6uho9evTA+vXrERkZqRCwTpo0Cenp6fjpp59w8OBB1NTUIDg4GGZmZujTpw+CgoKwfft2rF+/Hm3atMG4ceNgZ2eHwMBAlerf0Lb09fVFbGwsDh06hMLCQhgbG6N79+54//33xSmQDaVKO6vqs88+w5YtW3Ds2DEkJSWhc+fO+OKLL3Ds2DGVA9auXbti6NChOHv2LI4dO4bq6mq0bdsWfn5+mDx5cr3bf/LJJ1izZg02b96Mhw8fwtLSUvzyPnPmTNjZ2eHbb7/FN998g7KyMpiZmaFz585ygUhTc3JyQvv27XHnzh2MHj26znxt2rTBqlWrsG7dOvzwww/Q1tbGyJEj8c4778g97VpLSwvr1q3DgQMHEBMTIwanrVu3Rq9evepcp/y8qHLfUIWHhweio6Px/fff4/79+zAwMECnTp3w+eefw83NTSH/xo0bsWbNGmzduhUPHz6Eg4MD5s+frzD195NPPkH37t1x5MgRrFu3Dvr6+ujXrx8CAwPl3tfa0OvTxcUFX331FbZt24Zdu3ahsrISHTp0wNKlS5U+fKsh9PT08MYbbyApKUl8ynGrVq3g4uICPz8/tG7dGg8fPsSvv/6q8ARv4NEDj95++20kJSUhKioK+fn5EAQBFhYW8PLywtSpU8XlF43x2muvISIiAtevX68zz6pVq5Smv/TSSwxYiYiImohEeBZPGVJRRkYGvL29ERAQ0KgRMyJqeq+//jqqq6tx8OBBpZ97eXnB0tISW7dufcY1+/cLCgrCkSNHkJKS8ryr8kzFx8dj0aJF2L17tzhV+N9o69at8PPzU3jCNhERET3DNaxE9M+VnJyMW7duwcfH53lXhV4genp6mDNnzr86WCUiIqIne6ZTgv8NqqurG/RwH2NjY/5a3gClpaUoLS19Yh5NTc3n8oqTx/1T6lpYWIjKyson5tHT06tzHWptycnJuHv3LsLCwmBqatro6Z9EjTFw4EBOrSUiInrBMWBV0b179xReL6NMcHCwyms0X0S7du1CaGjoE/NYWloiOjr6GdWobv+Uur733ns4d+7cE/N4enoiKCio3rJCQ0Px22+/oWPHjggKCmpQkEtERERE1FTUcg2rOisvL8eFCxfqzdezZ08YGRk1f4X+4e7evVvve2B1dXXRp0+fZ1OhJ/in1PXKlSv1voqpdevW6NSp0zOqERE9CdewEhER1Y0BKxER0XPEgJWIiKhufOgSERERERERqSUGrERERERERKSWGLASERERERGRWmLASkRERERERGqJASsRERERERGpJQasREREREREpJYYsBIREREREZFaYsBKREREREREaokBKxEREREREaklBqxERERERESklhiwEhERERERkVpiwEpERERERERqiQErERERERERqSUGrERERERERKSWGLASERERERGRWmLASkRERERERGqJASsRERERERGpJQasREREREREpJYYsBIREREREZFaYsBKREREREREaokBKxEREREREaklBqxERPTcpaSkwNHREdHR0SpvO3PmTHh5eTVDrf6Z9SAiIvo30XreFSAioqb18OFDHDp0CCdOnMCtW7dQUlICY2Nj9OjRA+7u7njttdegpdX42395eTmioqLw008/4ebNmygqKoK+vj5sbGzg6OgIb29vdOjQoekOiIiIiF5YDFiJiP5F7ty5g/nz5+P27dvo378/3nzzTZiYmCA/Px9JSUlYsWIFbt26hfnz5zeq/Lt37+Ldd99Famoq+vXrh4kTJ6JVq1YoLS3F9evXERUVhYiICBw5cgRt2rRpcLn9+vXD6dOnnyqQJiIion8ffjMgIvqXePjwId555x2kp6dj9erVGDZsmNznb775Ji5duoTLly8/Vfl3797FF198gaFDhyrkKS8vx549eyCRSFQqW0NDA7q6uo2qFxEREf17MWAlIvqX+O677/DXX39h2rRpCsGqTK9evdCrVy/x715eXrC0tMSCBQuwbt06XLp0Cdra2nB2dsb8+fNhZmYmV35aWhr8/PyUBqsAoKurCz8/P5XrnpKSglmzZmH58uXiOtCamhp8++23iIqKQkZGBiQSCczNzdGnTx98+OGHTxyN/eOPP3DgwAH8/vvvuHfvHjQ1NdGlSxdMmTJFoe5BQUE4cuQI4uPjsXHjRpw4cQIlJSXo0aMHFixYAHt7e7n8Dx48wIYNGxAXF4fy8nLY2dnh3XffVfmYiYiIqH4MWImI/iVOnDgBAPDx8VFpu+zsbAQGBmLYsGFwc3PD1atXERUVhStXriA8PBx6enpy5Y8ZM6ZJ612X7du3Izg4GM7Ozhg3bhw0NDSQkZGBkydPoqKi4okBa3x8PNLS0jB8+HBYWlqisLAQR44cwXvvvYeVK1di5MiRCtvMnTsXpqammDFjBgoLC7F7927Mnz8fUVFRMDAwAABUVVVh7ty5uHz5Mjw8PODg4IDr169j9uzZMDY2brZzQURE9KJiwEpE9C/x559/wsDAANbW1iptd/fuXSxYsAATJ04U0zp16oS1a9fi22+/xZtvvilXvpWVldz21dXVKCoqkkvT09MTA93GiouLQ8eOHbF27Vq59Hnz5tW77fTp0zF37ly5tAkTJmDixInYtm2b0oC1R48eWLJkifj3Tp06YcmSJTh27BjGjRsHAIiKisLly5cREBCAt956S8zbsWNHrFmzBpaWliodIxERET0ZX2tDRPQvUVxcLI4EqsLAwADjx4+XSxs/fjwMDAwQFxcnV37Lli0Vtk9NTcXw4cPl/tu/f7/qB/CYli1bIjs7GxcuXFB5W319ffHPDx8+REFBAR4+fAgnJyekpqaiuLhYYZvaATsAODo6Anj0ICuZ+Ph4aGpqYtKkSXJ5fX19G3XuiYiI6Mk4wkpE9C/RsmVLlJSUqLydlZUVtLW15dJ0dHRgZWWF9PR0ufKVBXpWVlbYvHkzAODGjRtYt26dynVQZs6cOVi0aBFmzJiB1q1bQyqVYsiQIXBzc1Oo7+Py8/OxZcsWJCQkID8/X+FzZcH34yPHJiYmAIDCwkIxLT09Ha1atVLYVna+Hh9pJiIioqfDgJWI6F+ic+fOOHfuHO7evavytGBVyk9PT5cL7vT19TFgwAAAgKamZpPtr3fv3vjuu+/w66+/IiUlBWfPnsWxY8ewbds2fP3113WuGRUEAXPnzkVqaiomTJgAOzs7tGzZEhoaGoiOjsaxY8dQU1OjsF1ddRcEocmOiYiIiFTDKcFERP8SsicDR0ZGqrRdeno6Kisr5dIqKioUAlNZ+d99993TVVQFLVq0gJubGxYvXox9+/Zh8eLFSE1NfeIx3rhxA9evX8ebb76J+fPnw93dHYMGDcKAAQNQXV39VPWxsrJCbm6uwkiz7HwRERFR02LASkT0LzFmzBjY2tpi165diI+PV5rnypUrCutLS0pKFNL279+PkpISuLq6ypXfoUMH7Nq1S25ta3MpKChQSOvRoweAR6+WqYuGxqN/2h4fGb1582ad56WhXnnlFVRXV2P37t1y6QcOHGjUdGwiIiJ6Mk4JJiL6l9DT08O6deswf/58LFq0CAMHDsSAAQNgbGyM+/fv4+zZs/j1118xdepUue2sra0RGhqKP//8Ez179sSVK1cQFRWFDh06YMKECQrlv/vuu3jvvfcglUoxcOBAmJubo6SkBGlpaYiNjYWmpiYsLCye+nh8fX3h4OCAXr16oXXr1sjNzcXhw4ehra2NV199tc7tOnbsiE6dOiE8PBwPHz6Era0tbt++jUOHDqFLly64cuVKo+vk7e2Nw4cPIzQ0FOnp6ejduzeuXbuGH3/8EdbW1k89gktERETyGLASEf2LtG/fHnv27MHBgwdx4sQJbN++HaWlpTA2NkbPnj0RFBSk8EqXNm3aYNWqVVi3bh1++OEHaGtrY+TIkXjnnXfknrYLPApud+3ahaioKPz000+IiIhAcXEx9PX10b59e4wePRqjR49Ghw4dnvpYJk+ejNOnT2Pv3r0oLi6GmZkZ7O3t4efnh27dutW5naamJtavX49169bhyJEjKCsrQ+fOnREUFITr168/VcCqra2NzZs3Y/369UhISMCJEydgZ2eHzZs3Y926dcjMzGx02URERKRIIvBpEkRELywvLy9YWlpi69atz7sqL6ytW7fCz8+v3icfExERvYi4hpWIiIiIiIjUEqcEExFRs6isrJR7h2ldTE1Nm/R1OERERPTvwYCViIiaxW+//YZZs2bVmy8qKgrt2rV7BjUiIiKifxoGrEREL7Do6OhmK7tbt27YvHlzvfnMzc2brQ5ERET0z8aAlYiImoWRkREGDBjwvKtBRERE/2B86BIRERERERGpJQasREREREREpJYYsBIREREREZFaYsBKREREREREaokBKxEREREREaklBqxERERERESklhiwEhERERERkVpiwEpERERERERqiQErERERERERqSUGrERERERERKSWGLASERERERGRWmLASkRERERERGqJASsRERERERGpJQasREREREREpJYYsBIREREREZFaYsBKREREREREaokBKxEREREREaklBqxERERERESklhiwEhERERERkVpiwEpERERERERqiQErERERERERqSUGrERERERERKSWGLA+pYKCAixbtgwjR46Eo6MjZs6c+byrRP8gjo6OCAoKet7VICIiIiJSS1rPuwLP07Vr1xAfHw8vLy+0a9euUWWsXbsWsbGx8Pf3h5WVFczMzJq4lvKio6NRVFSEiRMnNut+1FVGRgaio6Ph6uqK7t27N9t+4uPjce3aNbz11lvNto+6hISEoHv37nB1dW22fURHR2PFihUNytuvXz9s3bq12erSWCkpKZg1axbmz5+PKVOm1JnP0dGxwWVGRUU1+l5AzS8/Px8jR47E4sWLMW7cOADAyZMn8e233yItLQ3379+HkZERrKys8NJLL2HatGkwMTEBUHd/kfWPkSNHYuXKlQr7nDlzJq5cuYKff/5ZTAsJCUFoaGid9ezfvz+++uqrpjhkIiKiF94LHbBev34doaGhkEqljf6SeubMGQwcOBABAQFNXDvloqOjkZmZ+UIHrKGhoWjXrl2zB6xHjhxp9oD19OnT0NTUlEsLDQ2Fp6dnswasffv2xccffyyXtn37dqSlpSmkN/ePMM3t8eM5f/48Dh8+DB8fH/Tt21fuM1NT02dZNVJRQkICBEHAK6+8AgDYsGEDwsPD0bVrV/j6+sLMzAy5ubm4efMmDh06BHd3dzFgrc8PP/yAKVOmqHRfmTVrltJ/O1q1atXgMoiIiOjJnjpgra6uRmVlJfT09JqiPv84eXl5MDY2ft7VaBIvelsCQElJCQwMDJ7Z/nR1dZ/ZvmqztraGtbW1XNp3332HtLQ0eHh4PJc6NZfHj6e6uhqHDx9G79696z3WZ90f6Mni4uLg4OCAVq1aIT8/HxEREbCzs8P27duhpSX/z1lpaWmDy+3SpQtu376NjRs3YtOmTQ3e7uWXX4adnV2D8xMREZHqVApYZdMIN2/ejIsXLyI6OhpZWVlYunQpvLy8IAgCDh48iO+++w6pqanQ0NCAnZ0dAgIC5KblZWRkwNvbGwEBAbC1tUVYWBhu374NU1NTeHt7Y/r06QpfPnJzcxEaGopTp04hLy8PJiYmcHZ2RmBgoNwIUE5ODiIiIpCcnIzMzEyUl5fDysoKo0aNwpQpU8TRrNpTumbNmiVu7+np2aA1hbW3P3LkCI4cOQIAWL58Oby8vAA8Gn0NDw/HpUuXUFFRARsbG/j6+sLX11eurMTERERGRuLy5cvIzc2FtrY2evXqBX9/f0ilUjGfl5cXMjMzAchPcwwODoajoyO8vLxgaWmpMH1TNhWudt2aqi1lx79v3z7cvn0bVVVVMDc3h4ODAxYuXKjSiFVWVhZCQkKQnJyMvLw8tGzZEu3bt8fYsWPh6ekpN411xYoV4p9lU1ZramqwY8cOJCYm4vbt2ygsLIS5uTmGDBmCwMBAuZGW2n2wY8eOCA8PR2pqKtzd3ZGRkYFz584pnOfa568+hYWF+Prrr3Hy5Enk5ORAX18flpaWePXVVzF16lQxn6Ojo9jnZHWSnVNZnwIetaFMQ/vV04qLi8N7772Hjz76CD4+Pgqfv/7666ioqMDhw4chkUgwc+ZMZGZmYsuWLVizZg3Onj0LAHBycsI777yjECCr0seeBdn1s2DBAmzatAkXL16EsbExoqKiUFJSgp07d+LMmTO4e/cuSktLYWFhATc3NwQEBMj9yFP7ehMEAREREbhz5w7Mzc0xfvx4TJs2TW6/v/32G7Zt24Zr166hqKgIxsbG6Nq1KwICAuDg4ADg7/vN3r17cejQIfz4448oLi5Gly5dMGfOHPTv31/heL777jvs378faWlp0NLSgr29PQICAtCnTx+5fKdOnUJ4eDj+/PNPPHz4ECYmJrCzs8PcuXNha2sr5rtx4wZCQkJw/vx5lJWVwcrKCp6enpg8ebLcLIGgoCAcOXIE8fHx2LhxI06cOIGSkhL06NEDCxYsgL29vZi3pqYG3377LaKiopCRkQGJRAJzc3P06dMHH374ody/A8XFxUhOTkZgYCAAID09HTU1NejXr5/CvxcA0KJFi4Y0OwCgbdu26N+/P/bs2YOkpCSl55OIiIiej0aNsK5fvx5VVVXw8fGBgYGB+KVm2bJl+OGHH+Dm5gYvLy9UVlbi6NGjmDNnDlavXi1O45I5efIk0tPTMX78eJibm+PkyZMIDQ1FVlYWli9fLubLysqCn58fKisrMXr0aFhbW+POnTs4ePAgUlJSsGvXLrRs2RLAoy9VcXFxcHV1hbW1NaqqqvDrr79i06ZNSE9Px0cffQQAGDZsGHJzc3H48GH4+fmhY8eOAKDwpbouw4YNQ/v27bFs2TL07dtX/ELfu3dvAMChQ4fw2WefwcHBAf7+/tDX18eZM2ewatUqpKenY/78+WJZ0dHRKCwshIeHBywsLJCdnY3IyEjMnj0bwcHB4rTFhQsXYtOmTSgoKMCCBQvE7WV1b4ynbcvvv/8eQUFB6Nu3L2bNmgVdXV3cu3cPp0+fRn5+foMD1qqqKsyZMwc5OTnw9fWFjY0NiouLcfPmTZw/fx6enp7o27cv/Pz8sGPHDrnpnLIfLCorK7Fr1y4MGzYMr7zyCvT09HD58mVERkbiwoULiIiIgLa2ttx+ExISsHfvXowbNw7jxo2DgYEBjIyMIAgCzp8/LzedVNa2DbFkyRKcO3cO48aNQ9euXVFeXo7U1FScPXtWLmCtzdTUFB9//LFCn6pNlX71tJydnWFubo6oqCiFuly8eBG3bt3C7NmzIZFIxPSysjK89dZbsLe3x9y5c3H79m0cOHAAFy9exO7du+WmSqp6v3gW7t27h8DAQAwfPhzDhg0TR+lycnIQGRmJYcOGYeTIkdDU1MS5c+cQHh6Oa9euKR2VO3jwIPLz8+Ht7Q1DQ0McPXoUGzduhIWFBUaOHAkASEtLw5w5c2Bubo4JEybAzMwM+fn5uHDhAq5fvy4GrDLLly+HhoYGpk6ditLSUhw6dAjz5s3Dhg0bMGDAADGfbKpsr169MHv2bJSWluLw4cN466238OWXX2LIkCEAgLNnz2LBggXo3Lkz/Pz80LJlS+Tm5iIpKQl37twR7weXL1/GzJkzoaWlJd6vf/75Z2zcuBE3btxQuvZz7ty5MDU1xYwZM1BYWIjdu3dj/vz5iIqKEkett2/fjuDgYDg7O2PcuHHQ0NBARkYGTp48iYqKCrlA9PTp06isrBSnyltZWQEAfv75Z0yaNAmtW7duVJvL+Pv7IyoqChs3bkR4eLhcv65LcXExCgoKFNL19PRe6JkqRERETUpQQVRUlCCVSgUfHx+hrKxM7rMTJ04IUqlUOHjwoFx6ZWWlMHnyZMHLy0uoqakRBEEQ0tPTBalUKjg5OQlXrlwR89bU1AgLFy4UpFKp8Pvvv4vp7777rjB8+HAhKytLruxLly4J/fv3F4KDg8W0srIycT+1LV26VHBychJycnIUjic5OVmV0yBHKpUKy5cvl0vLyckRBg0aJHz44YcK+b/44gvByclJuHPnjphWWlqqkC83N1cYNmyYMG/ePLn0gIAAwdPTU2ldPD09hYCAAIX05ORkQSqVClFRUWJaU7XlokWLBBcXF6GyslJpnRrq+vXrglQqFcLCwp6YT9mxyNTU1CgciyAIwuHDhwWpVCocP35cTJP1wf79+wu3bt1S2Gb58uWCVCptxJEIQlFRkSCVSoXPPvus3rzK+o+yNEFQvV+pKiAgQOGYN23aJEilUuHPP/+US//kk0+E/v37C9nZ2Qrb/+9//5PLK+tPn376qUJaQ/pYXWR9ITw8XKXjlPX9x/uQp6enIJVKhcOHDytsU1FRobSPf/XVV4JUKhUuXryoUK8RI0YIRUVFYnpZWZng5uYmvPnmm2LaN998o7C9MsHBwYJUKhWmTp0qVFRUiOlZWVnCkCFDhHHjxolpqampgqOjo+Dv7y+XNzs7W3jllVcET09PoaqqShAEQfjyyy8FqVQq5OXlPXH/fn5+Qv/+/YXr16+LaTU1NcLixYsFqVQqnDlzRkyXXTuP9//Y2FhBKpUKBw4cENMmTpwo+Pr6PnHfMkuWLBHGjx8vl/b5558LUqlUGDhwoDBjxgxh3bp1QmxsrFBYWKiwfV39RSqVCvPnzxcEQRC2bdsmSKVS4dixY+LnAQEBwpAhQ+S2kbVHXf+p2idDQkLk2oqIiIj+1qjX2vj6+ir8ehwTEwMDAwO4urqioKBA/K+4uBjOzs7IyMjA7du35bYZMGAAevToIf5dIpGIo09xcXEAHv2CferUKbi4uEBXV1eu7Hbt2sHa2hpnzpwRy9DT0xN/Ga+srERhYSEKCgowaNAg1NTU4PLly405ZJX8+OOPqKiowOjRo+XqW1BQAGdnZ9TU1CApKUnMr6+vL/65tLQUBQUF0NTUhL29PS5dutSsdX3atmzZsiUePnyIU6dOQRCERtdDNkJ+9uxZ5OfnN6oMiUQiHkt1dTWKiopQUFAAJycnAMAff/yhsM2QIUOeaoRaGV1dXejo6OCPP/5ARkZGk5Wrar9qCmPGjIFEIkFkZKSYVlZWhtjYWLz88stKR7Uen/I6dOhQ2NraIiEhQUxrzP3iWTA2NlY67VtbW1sc7auqqsKDBw9QUFAgTh1V1re8vLzEfg08ujc5ODjIHZfs84SEBJSXl9dbv4kTJ8rNEpCN1qalpSE1NVUsSxAETJ06VS5v69atxWUF165dk9v/iRMnUFVVpXSf+fn5+P333+Hi4oKuXbuK6RKJBP7+/gD+vl8/XtfaZNO879y5I3f82dnZuHDhwhOPu6KiAr/88ovCg8jee+89rFixAr1798alS5ewa9cuLFmyBCNHjsSGDRtQXV39xHKV1bl169bYsmVLneejtsWLF2Pz5s0K/7m7u6u0XyIiIqpbo6YE29jYKKSlpaWhpKQEr776ap3b5efny62J6tChg0KeTp06AXi0PklWbk1NDSIjI+W+NNcmmxoGPPoyGRYWhpiYGNy5c0chiHrw4EHdB9ZE0tLSAACzZ8+uM0/toOzu3bvYvHkzEhMTUVRUJJevIdPSnsbTtqWfnx/OnTuHRYsWwdjYGP369cPgwYPh7u6u0sNqLC0t4e/vj7CwMIwcORLdunWDk5MThg8fjl69ejW4nNjYWERERODatWsKXziVtb2y439a2traWLBgAb788kt4e3ujU6dOcHR0hKur61OtjVO1XzUFKysr9O/fHzExMZg3bx60tLQQGxuLkpISjB49WiG/oaGh0iekduzYEfHx8SgrK4O+vn6j7hfPgpWVlcJTm2X279+PgwcP4tatW6ipqZH77PHrVlbW44yNjVFYWCj+/dVXX0VMTAx27NiBPXv2wMHBAQMHDsSIESNgaWmpsL2yH1dq3zM7duwo/kjSuXNnhbyytPT0dNjZ2eH1119HQkICVq1ahY0bN+Kll17Cyy+/jBEjRojT+WXlyfbzeH00NDTE+/WTjl+2hrz28c+ZMweLFi3CjBkz0Lp1a0ilUgwZMgRubm5ywXZSUhJKSkowdOhQuTIlEglGjRqFUaNGobKyEjdu3EBiYiK++eYbhIeHw9DQEH5+fgp1q4uenh5mzpyJTz/9FAcOHMCECROemL9Xr1586BIREVEza1TAqmxtjiAIMDU1VbqWSUbZF6iGeu211+Dp6an0s9pPWl27di327t0Ld3d3+Pv7w9TUFFpaWrh69So2btz4VKOADSXbx4oVK+p8vYHsy1xpaSkCAgJQVlaGN954A126dIGBgQEkEgnCwsKQnJzc4P3WFdw+aZThadvSxsYG+/fvR1JSEpKTk3Hu3DmsXLlSfEhMQ9cEA48CMW9vb5w6dQoXLlxAZGQkdu3ahalTp+Ltt9+ud/sTJ07ggw8+QK9evbBo0SJYWFhAR0cHNTU1mDdvntK2b651Zr6+vnB1dcWpU6dw9uxZ/PTTT9i3bx/c3d3x2WefNapMVfpVU/Lx8cGSJUuQkJAANzc3REZGig+zaqzmvl80Vl39ISIiAuvWrcPAgQMxYcIEtGrVCtra2sjJyUFQUJBCAAugzsC3Nh0dHXz11Vf4448/kJiYiHPnzonXzsqVKxUCtKZmYmKC8PBwnD9/HmfOnMH58+exZs0ahISEYP369Sqt235cXcdf+zrs3bs3vvvuO/z6669ISUnB2bNncezYMWzbtg1ff/21+AT2+Ph4WFhYoGfPnnXuT1tbG3Z2drCzs8OwYcMwfvx4REZGqhSwAoC3tzd2796N7du3N/gha0RERNR8muw9rO3bt8ft27fh4ODQ4KczykaMart16xaAv794W1tbQyKRoKqqSu6hInWJiYlBv379FIKC2tPQZJpr9LJ9+/YAHn0ZrK/OSUlJyMnJwbJly8QnxMps2bJFIf+T6mxkZKR0FFHZ6MeTqNqWOjo6GDJkiBjAnDp1Cu+88w52796NxYsXq7Rva2trTJgwARMmTEB5eTnmzZuH8PBwTJ48GWZmZk88/piYGOjq6iIkJEQu8FDWz+rTFH2jVatWGDNmDMaMGYPq6mrxIUOTJ09WadRYRpV+1ZRcXV1hZmaGyMhIdO7cGb/99humTZum9MmsRUVFyM3NVQioU1NTYWZmJk5/b8z94nmKiYlBu3btsGHDBmho/L2S4pdffmmS8u3t7cWn52ZlZWHSpEnYsmWLQsCampqKbt26yaU9fs+U/f/PP/9U+MHo8bzAo8DS0dFRnLJ748YNTJ48Gdu2bcP69evF94zKtq1NNgPmaX4oadGiBdzc3ODm5gbg0Uj2559/jsjISEydOhU1NTU4efKkStNsO3ToACMjI+Tk5KhcH01NTcydOxeLFi1CRESEytsTERFR02rUGlZlRo0ahZqamjrfYZeXl6eQdubMGVy9elX8uyAICA8PBwBxrZKJiQkGDx6MEydO4OLFiwplCIKA+/fvi3/X0NBQGEkrKyvDnj17FLaVfXlu6mnC7u7u0NHRQUhICB4+fKjweXFxMSoqKgD8PQrxeJ0TExOVrotr0aIFHjx4oHS00MbGBmlpacjOzhbTKioqsH//fpXqr0pbKntCpmxdcu2pf/UpLi5WmMKrq6srThuXtZEsuFFWtiyQqD3aJQgCtm3b1uB6yMj6hirHIPPw4UOFdtfU1BTX/9XX31q0aKF0v6r0q6akpaUFT09PJCYmiq9yUjYdWGbnzp1yf4+Li8Nff/0l99TfxtwvnidNTU1IJBK56062/OBpKLt+LCwsYGpqqrQP7NmzB5WVleLf7927hx9++AG2trbidGEXFxdIJBLs2rVL7prKzc1FdHQ0LC0t0b179zr336FDB+jp6Yn91MzMDL1798bJkydx8+ZNMZ8gCNixYwcANHok+En3D9n+f/vtN+Tn5yvsIzc3V1yL+7jz58+jsLCw0evTXV1d0bt3b+zevVvu3xciIiJ69ppshHX48OHw8vLCvn37cPXqVTg7O8PExATZ2dn4/fffcffuXYU1qF27dsWsWbMwfvx4tGrVCgkJCUhKSoKHh4fcVLQlS5ZgxowZCAgIwKhRo9C9e3fU1NQgPT0dJ0+ehIeHB9566y0AgJubGw4dOoQPPvgA/fv3R15eHqKjo8WpZbX16tULGhoa2L59Ox48eAB9fX1YWVnJvSewMSwsLLBkyRKsXLkS48ePh4eHBywtLXH//n3cvHkT8fHx2L9/P9q1a4c+ffrA3Nwc69atQ2ZmJtq0aYPr168jJiYGXbp0kfuCCDwaifn555+xevVq9O7dGxoaGnBycoKZmRlef/11HD9+HLNnz8a4ceNQWVmJmJgYlae9qtKWc+bMgaGhIfr27QsLCwsUFRUhOjoaEokEHh4eDd5nSkoKPv30UwwbNgy2trZo0aIFrly5gsjISNjb24uBa8eOHWFgYIADBw5AT08PhoaGMDMzg5OTE9zc3HDixAnMmjULo0aNQlVVFRISEpQGd/VxcHDAvn37sGrVKgwZMkR8j2VDRpL++usvzJw5E0OHDkXnzp1haGiItLQ0HDhwAFZWVuLreOpib2+PpKQkhIWFoW3btpBIJBgxYoRK/aqp+fj4YNeuXfjhhx/Qr1+/Otf+mpiY4MSJE8jJyYFUKhVfa2Nubi5eo0Dj7hfPk5ubGzZt2oS3334bQ4cORUlJCX744Qelo8yq2LZtGxITEzFkyBBYWVlBEAT8/PPPSEtLU/r6o+rqasyYMQMjRoxAaWkpDh48iPLycrz33nting4dOmDKlCkIDw9HQEAA3N3dxdfalJaW4pNPPhF/KFu5ciWys7MxYMAAWFpaory8XFyjPGrUKLHMRYsWYebMmQgICBBfa3Pq1Cn8+uuvGDlyZKPXZvv6+sLBwQG9evVC69atxVeNaWtri+ub4+LiYGxsrHDdZGdnY+rUqbC3t4eTkxOsrKxQWVmJ69ev49ixY9DS0sKcOXMaVS8AePvttzFjxgykpqbKPRivtl9++UXpDA59ff1mn85NRET0omiygBV49I5AR0dHHD58GGFhYaisrIS5uTl69Oih9IuDi4sLbG1tERYWhr/++gtmZmaYMWMGZsyYIZevbdu2iIiIwM6dO5GQkICjR49CR0cHFhYWcHZ2lpsqtmDBAhgYGCA2NhYJCQmwsLCAj48P7OzsFB5W07ZtWyxbtgw7d+7EqlWrUFVVBU9Pz6cOWIFH66BsbGwQERGBQ4cOoaioCCYmJrC1tUVgYCDMzc0BPHpIzaZNm7Bhwwbs3bsX1dXV6NGjB9avX4/IyEiFgHXSpElIT0/HTz/9hIMHD6KmpgbBwcEwMzNDnz59EBQUhO3bt2P9+vVo06YNxo0bBzs7OwQGBqpU/4a2pa+vL2JjY3Ho0CEUFhbC2NgY3bt3x/vvvy9OMWyIrl27YujQoeIaturqarRt2xZ+fn6YPHmymE9PTw+ffvoptmzZgjVr1qCiogL9+vWDk5OT+CV+z549WL9+PQwNDeHi4oK5c+eK0w0basSIEbh27RqOHz+On376CTU1NVi+fHmDAlYLCwt4e3vj7NmziI+PR2VlJVq3bg0fHx9Mmzat3h8QlixZgs8//xw7duxASUmJWB+g4f2qqbVv3x6Ojo5ITk5+4uiqvr6+2DabNm2CIAgYNGgQ3n33XYVpwqreL56nKVOmQBAEREZG4ssvv4S5uTnc3d3h7e2N8ePHN7rcV155Bbm5ufjxxx+Rn58PXV1dtG/fHkuXLlV6nlesWIGDBw9i586dKCoqQpcuXbB8+XIMHDhQLt/bb7+N9u3bY//+/di0aRO0tbXRq1cvrFy5Ui7w8/DwQHR0NL7//nvcv38fBgYG6NSpEz7//HO5a8bOzg7bt29HSEgIDhw4gLKyMlhZWWHevHly16eqJk+ejNOnT2Pv3r0oLi6GmZkZ7O3t4efnJ059TkhIgLOzs8Ka2A4dOmDx4sU4c+YMjh8/jvz8fFRVVaFVq1ZwdXXFpEmT5J5Cr6o+ffrAxcUFJ0+erDNPcHCw0vQ2bdowYCUiImoiEuFZPIXoMRkZGfD29kZAQIDcqAsRqa+3334bFy9exNGjR5UG3TNnzkRmZiaio6OfQ+3+3WQPYoqKimqWEXR1df36dUycOBH/+9//FF5p82+ydetW+Pn5yT0ZmYiIiB5psjWsRPTvdefOHSQmJuK1115rticrEz2uoqICAQEBCiPIRERE9OJo0inB/wbV1dUNesiGsbExfw1vgNLSUpSWlj4xj6ampvjOR3X28OFDFBcX15uvrlfOPCvFxcX1rtvV1tZWuq77cX/88QdSU1Px7bffQltb+6mmfxKpqvbTk4mIiOjFxID1Mffu3VN4vYwywcHBKq3RfFHt2rVLfLJsXSwtLf8R00hjY2OxYsWKevOlpKQ8g9rU7X//+x+OHDnyxDz9+vXD1q1b6y3rwIED+P7772FlZYVPPvnkhZqOSkRERETP33NZw6rOysvLceHChXrz9ezZE0ZGRs1foX+4u3fv1vseWF1dXfTp0+fZVOgp5Obm4s8//6w337N8R6oyt27dqvf9k0ZGRujZs+czqhERPQnXsBIREdWNASsREdFzxICViIiobnzoEhEREREREaklBqxERERERESklhiwEhERERERkVpiwEpERERERERqiQErERERERERqSUGrERERERERKSWGLASERERERGRWmLASkRERERERGqJASsRERERERGpJQasREREREREpJYYsBIREREREZFaYsBKREREREREaokBKxEREREREaklBqxERERERESklhiwEhERERERkVpiwEpERERERERqiQErERERERERqSUGrERERERERKSWGLASERERERGRWmLASkRERERERGqJASsRERERERGpJQasRC+wgoICLFu2DCNHjoSjoyNmzpz5vKtE/yCOjo4ICgp63tUgIiKifzGt510BImqca9euIT4+Hl5eXmjXrl2jyli7di1iY2Ph7+8PKysrmJmZNXEt5UVHR6OoqAgTJ05s1v2oq4yMDERHR8PV1RXdu3dvtv3Ex8fj2rVreOutt5ptH3UJCQlB9+7d4erq2uz7CgoKwpEjR/Djjz/CxMRETPfy8kJmZmaDyggODoajoyMcHR3l0rW1tWFhYQFnZ2dMnz5drnwiIiJ6dhiwEv1DXb9+HaGhoZBKpY0OWM+cOYOBAwciICCgiWunXHR0NDIzM1/ogDU0NBTt2rVr9oD1yJEjzR6wnj59GpqamnJpoaGh8PT0fCYBa10WLlyI0tJS8e+pqanYsWMHhg4diqFDh8rl7dixo/jnbt26YfLkyQCABw8e4MyZM/jmm29w5swZ7N69G9ra2s/mAIiIiEjEgJVeeNXV1aisrISent7zrsozl5eXB2Nj4+ddjSbxIrejTElJCQwMDJ7Z/nR1dZ/ZvlTxeLCckpKCHTt2oEuXLvDw8KhzuzZt2sh9PmHCBCxatAjx8fE4efIk3NzcmqvKREREVAcGrPRCiY6OxooVK7B582ZcvHgR0dHRyMrKwtKlS+Hp6YmDBw/iu+++Q2pqKjQ0NGBnZ4eAgAC56YIZGRnw9vZGQEAAbG1tERYWhtu3b8PU1BTe3t6YPn06tLTkL63c3FyEhobi1KlTyMvLg4mJCZydnREYGCg3DTcnJwcRERFITk5GZmYmysvLYWVlhVGjRmHKlCniaFZISAhCQ0MBALNmzRK39/T0bNCawtrbHzlyBEeOHAEALF++HF5eXgAejb6Gh4fj0qVLqKiogI2NDXx9feHr6ytXVmJiIiIjI3H58mXk5uZCW1sbvXr1gr+/P6RSqZiv9jTN2udTNiXTy8sLlpaW2Lp1q1z5KSkpmDVrllzdntSOXl5eEAShQW0pO/59+/bh9u3bqKqqgrm5ORwcHLBw4UKYmprWey5lsrKyEBISguTkZOTl5aFly5Zo3749xo4dC09PT7HOALBixQrxz/369cPWrVtRU1ODHTt2IDExEbdv30ZhYSHMzc0xZMgQBAYGyk1Jrd0HO3bsiPDwcKSmpsLd3R0ZGRk4d+6cwnmuff7qU1hYiK+//honT55ETk4O9PX1YWlpiVdffRVTp04V8zk6Oop9TlYn2TmV9SngURvKNLRfqYv+/fsjPj4ed+7ckUuvr72JiIioaTBgpRfS+vXrUVVVBR8fHxgYGMDW1hbLli3DDz/8ADc3N3h5eaGyshJHjx7FnDlzsHr1arzyyityZZw8eRLp6ekYP348zM3NcfLkSYSGhiIrKwvLly8X82VlZcHPzw+VlZUYPXo0rK2tcefOHRw8eBApKSnYtWsXWrZsCQC4ceMG4uLi4OrqCmtra1RVVeHXX3/Fpk2bkJ6ejo8++ggAMGzYMOTm5uLw4cPw8/MTpzVaW1s36PiHDRuG9u3bY9myZejbty98fHwAAL179wYAHDp0CJ999hkcHBzg7+8PfX19nDlzBqtWrUJ6ejrmz58vlhUdHY3CwkJ4eHjAwsIC2dnZiIyMxOzZsxEcHIy+ffsCeDRNc9OmTSgoKMCCBQvE7WtPyVSVsnYE0OC2/P777xEUFIS+ffti1qxZ0NXVxb1793D69Gnk5+c3OGCtqqrCnDlzkJOTA19fX9jY2KC4uBg3b97E+fPn4enpib59+8LPzw87duyAj4+PeF5kP1hUVlZi165dGDZsGF555RXo6enh8uXLiIyMxIULFxAREaEwJTUhIQF79+7FuHHjMG7cOBgYGMDIyAiCIOD8+fP4+OOPxbyytm2IJUuW4Ny5cxg3bhy6du2K8vJypKam4uzZs3IBa22mpqb4+OOPFfpUbar0K3Vx9+5dAICRkZGY1pD2JiIioiYiEL1AoqKiBKlUKvj4+AhlZWVi+okTJwSpVCocPHhQLn9lZaUwefJkwcvLS6ipqREEQRDS09MFqVQqODk5CVeuXBHz1tTUCAsXLhSkUqnw+++/i+nvvvuuMHz4cCErK0uu7EuXLgn9+/cXgoODxbSysjJxP7UtXbpUcHJyEnJychSOJTk5uZFnQxCkUqmwfPlyubScnBxh0KBBwocffqiQ/4svvhCcnJyEO3fuiGmlpaUK+XJzc4Vhw4YJ8+bNk0sPCAgQPD09ldbF09NTCAgIUEhPTk4WpFKpEBUVJabV1Y6CoFpbLlq0SHBxcREqKyuV1qmhrl+/LkilUiEsLOyJ+ZQdi0xNTY3CsQiCIBw+fFiQSqXC8ePHxTRZH+zfv79w69YthW2WL18uSKXSRhyJIBQVFQlSqVT47LPP6s2rrP8oSxME1ftVQ8iO8/79+0/MJzvvta+1x0mlUmHOnDnC/fv3hfv37wu3b98W9u7dKwwcOFBwdnYW8vLyxLwNbe+GCgkJESoqKpqkLCIion8bvtaGXki+vr5yax1jYmJgYGAAV1dXFBQUiP8VFxfD2dkZGRkZuH37tlwZAwYMQI8ePcS/SyQScfQpLi4OAFBcXIxTp07BxcUFurq6cmW3a9cO1tbWOHPmjFiGnp4eJBIJgEcjboWFhSgoKMCgQYNQU1ODy5cvN9s5kfnxxx9RUVGB0aNHy9W3oKAAzs7OqKmpQVJSkphfX19f/HNpaSkKCgqgqakJe3t7XLp0qVnr+ng7Aqq1ZcuWLfHw4UOcOnUKgiA0uh6yEfKzZ88iPz+/UWVIJBLxWKqrq1FUVISCggI4OTkBAP744w+FbYYMGfJUI9TK6OrqQkdHB3/88QcyMjKarFxV+9XzkJiYiOHDh2P48OHw8fHB6tWr0blzZ3z11VdyU/ebor2JiIioYTglmF5INjY2cn9PS0tDSUkJXn311Tq3yc/PF6ecAkCHDh0U8nTq1AkAkJ6eLpZbU1ODyMhIREZGKi3XyspK/HNVVRXCwsIQExODO3fuKARRDx48ePKBNYG0tDQAwOzZs+vMU/tL+t27d7F582YkJiaiqKhILp8s+G4uj7cjoFpb+vn54dy5c1i0aBGMjY3Rr18/DB48GO7u7io9vMjS0hL+/v4ICwvDyJEj0a1bNzg5OWH48OHo1atXg8uJjY1FREQErl27hqqqKrnPlLW9suN/Wtra2liwYAG+/PJLeHt7o1OnTnB0dISrqyv69+/f6HJV7VfPg729PQIDAyEIArKysrBnzx5kZ2crrElvqvYmIiKi+jFgpRfS46NygiDA1NQUK1eurHObzp07N3p/r732Wp3r2mo/aXXt2rXYu3cv3N3d4e/vD1NTU2hpaeHq1avYuHHjU40CNpRsHytWrECrVq2U5pEF2aWlpQgICEBZWRneeOMNdOnSBQYGBpBIJAgLC0NycnKD91tXcFtdXV3nNsqeCKxKW9rY2GD//v1ISkpCcnIyzp07h5UrV4oPpWrommDgUSDm7e2NU6dO4cKFC4iMjMSuXbswdepUvP322/Vuf+LECXzwwQfo1asXFi1aBAsLC+jo6KCmpgbz5s1T2vbN9URkX19fuLq64tSpUzh79ix++ukn7Nu3D+7u7vjss88aVaYq/ep5MTExwYABA8S/Dx06FBMmTMDixYuxd+9eufP9tO1NREREDcOAlQhA+/btcfv2bTg4OKBFixYN2kY2YlTbrVu3APz9xdva2hoSiQRVVVVyX4TrEhMTg379+ikEBY8/oRRovtHL9u3bA1D88q5MUlIScnJysGzZMvEJsTJbtmxRyP+kOhsZGSkdRZSNVjeUqm2po6ODIUOGYMiQIQCAU6dO4Z133sHu3buxePFilfZtbW2NCRMmYMKECSgvL8e8efMQHh6OyZMnw8zM7InHHxMTA11dXYSEhMgFRsr6WX2aom+0atUKY8aMwZgxY1BdXS0+yGry5MmNGkVUpV+pC2NjYwQGBuLjjz/Gnj174O/vL/d5fe1NRERET49rWIkAjBo1CjU1Ndi0aZPSz/Py8hTSzpw5g6tXr4p/FwQB4eHhAP5+D6SJiQkGDx6MEydO4OLFiwplCIKA+/fvi3/X0NBQGEkrKyvDnj17FLaVrR1t6mnC7u7u0NHRQUhICB4+fKjweXFxMSoqKgBAfM3O43VOTExUuuayRYsWePDggdLRQhsbG6SlpSE7O1tMq6iowP79+1WqvyptWVBQoPC5bF1yYWFhg/dZXFysMIVXV1dXnDYuayNZAK2sbA2NR7fjmpoaMU0QBGzbtq3B9ZCR9Q1VjkHm4cOHCu2uqamJrl27Aqi/v7Vo0ULpflXpV+rEw8MDVlZWiIiIQHFxMYCGtzcRERE9PY6wEgEYPnw4vLy8sG/fPly9ehXOzs4wMTFBdnY2fv/9d9y9e1dhDWrXrl0xa9YsjB8/Hq1atUJCQgKSkpLg4eEh9wqRJUuWYMaMGQgICMCoUaPQvXt31NTUID09HSdPnoSHhwfeeustAICbmxsOHTqEDz74AP3790deXh6io6NhbGysUOdevXpBQ0MD27dvx4MHD6Cvrw8rKyvY29s/1bmwsLDAkiVLsHLlSowfPx4eHh6wtLTE/fv3cfPmTcTHx2P//v1o164d+vTpA3Nzc6xbtw6ZmZlo06YNrl+/jpiYGHTp0gU3b96UK9ve3h4///wzVq9ejd69e0NDQwNOTk4wMzPD66+/juPHj2P27NkYN24cKisrERMTo/K0V1Xacs6cOTA0NETfvn1hYWGBoqIiREdHQyKRwMPDo8H7TElJwaeffophw4bB1tYWLVq0wJUrVxAZGQl7e3sxkOnYsSMMDAxw4MAB6OnpwdDQEGZmZnBycoKbmxtOnDiBWbNmYdSoUaiqqkJCQoLS4K4+Dg4O2LdvH1atWoUhQ4ZAS0sL9vb2DZpy+9dff2HmzJkYOnQoOnfuDENDQ6SlpeHAgQOwsrISX8dTF3t7eyQlJSEsLAxt27aFRCLBiBEjVOpXqtq9e7fc1HoZJycnvPTSSyqXV5uWlhb8/PywcuVKfPvtt5gxY0aD25uIiIieHgNWov9v+fLlcHR0xOHDhxEWFobKykqYm5ujR48emDNnjkJ+FxcX2NraIiwsDH/99RfMzMwwY8YMzJgxQy5f27ZtERERgZ07dyIhIQFHjx6Fjo4OLCws4OzsDHd3dzHvggULYGBggNjYWCQkJMDCwgI+Pj6ws7NTeFhN27ZtsWzZMuzcuROrVq1CVVUVPD09nzpgBQBvb2/Y2NggIiIChw4dQlFREUxMTGBra4vAwECYm5sDAAwNDbFp0yZs2LABe/fuRXV1NXr06IH169cjMjJSIWCdNGkS0tPT8dNPP+HgwYOoqalBcHAwzMzM0KdPHwQFBWH79u1Yv3492rRpg3HjxsHOzg6BgYEq1b+hbenr64vY2FgcOnQIhYWFMDY2Rvfu3fH+++/D0dGxwfvr2rUrhg4dirNnz+LYsWOorq5G27Zt4efnh8mTJ4v59PT08Omnn2LLli1Ys2YNKioq0K9fPzg5OWHEiBEoLS3Fnj17sH79ehgaGsLFxQVz586Fm5ubSsc/YsQIXLt2DcePH8dPP/2EmpoaLF++vEEBq4WFBby9vXH27FnEx8ejsrISrVu3ho+PD6ZNm1bvDwhLlizB559/jh07dqCkpESsD9DwfqWqHTt2KE3X0tJ66oAVADw9PfH1119j9+7dmDBhQoPbm4iIiJ6eRHgWT3Eh+hfJyMiAt7c3AgICxJFRIqLG2rp1K/z8/KCtrf28q0JERKR2uIaViIiIiIiI1BKnBBP9i1RXV8s9xKkuxsbGHM1pgNLSUpSWlj4xj6amJkxNTZ9RjRrv4cOH4kODnqSuV848K8XFxfWu29XW1la6rpuIiIj+fRiwEv2L3Lt3T+H1MsoEBwertEbzRbVr1y6EhoY+MY+lpSWio6OfUY0aLzY2FitWrKg3X0pKyjOoTd3+97//4ciRI0/M069fP2zduvUZ1YiIiIieJ65hJfoXKS8vx4ULF+rN17NnTxgZGTV/hf7h7t69W+97YHV1ddGnT59nU6GnkJubiz///LPefM/7Ham3bt1CTk7OE/MYGRmhZ8+ez6hGzY9rWImIiOrGgJWIiOg5YsBKRERUNz50iYiIiIiIiNQSA1YiIiIiIiJSSwxYiYiIiIiISC0xYCUiIiIiIiK1xICViIiIiIiI1BIDViIiIiIiIlJLDFiJiIiIiIhILTFgJSIiIiIiIrXEgJWIiIiIiIjUEgNWIiIiIiIiUksMWImIiIiIiEgtMWAlIiIiIiIitcSAlYiIiIiIiNQSA1YiIiIiIiJSSwxYiYiIiIiISC0xYCUiIiIiIiK1xICViIiIiIiI1BIDViIiIiIiIlJLDFiJiIiIiIhILTFgJSIiIiIiIrXEgJWIiIiIiIjUEgNWIiIiIiIiUksMWImIiIiIiEgtMWAlIiIiIiIitcSAlYiIiIiIiNQSA1YiIiIiIiJSSwxYiYiIiIiISC0xYCUiIiIiIiK1pPW8K0BERPSiEgQBZWVlePDgAbS1tZ93dYiI6mRoaAiJRPK8q0EvIIkgCMLzrgQREdGLKDc3F61bt37e1SAiqldhYSGMjIyedzXoBcQRViIioudEV1cXffr0wffff4+WLVs+7+r8axQXF2PUqFE8r82A57Z5/BPOq6Gh4fOuAr2gGLASERE9JxKJBJqamjAyMlLbL6n/RBoaGjyvzYTntnnwvBLVjQ9dIiIiIiIiIrXEgJWIiIiIiIjUEgNWIiKi50RHRwcBAQHQ0dF53lX5V+F5bT48t82D55WobnxKMBEREREREakljrASERERERGRWmLASkRERERERGqJASsREVEzSEtLw+zZszFkyBCMGDEC69evR2VlZb3bCYKAsLAwjBo1CoMHD4afnx8uXrz4DGr8z9CY85qbm4v169dj4sSJcHFxgYeHBz766CNkZmY+o1r/MzS2z9a2Z88eODo64p133mmeSv4DPc15zc7OxvLlyzF8+HAMHjwYvr6+OHr0aDPXmEi98D2sRERETezBgweYNWsWbGxs8MUXXyA7Oxtr167Fw4cPsXjx4iduu3PnToSEhGDu3Lno2rUr9u/fj7lz52L37t2wtrZ+Rkegnhp7Xq9cuYK4uDh4e3vDwcEBBQUF+PrrrzFt2jTs3bsXpqamz/Ao1NPT9FmZ3NxchIaGwszMrJlr+8/xNOc1NzcXfn5+sLW1xUcffQQDAwPcunULFRUVz6j2ROqBASsREVETO3jwIEpKSvDFF1/A2NgYAFBdXY3PP/8c/v7+aN26tdLtysvLsWPHDkyePBmTJk0CAPTt2xdjx45FREQElixZ8syOQR019rz26dMHBw4cgJbW3197evfuDU9PT3z//feYPHnyM6m/Omvsua1tw4YNcHFx4ch1LU9zXtevXw8LCwts3LgRmpqaAID+/fs/k3oTqRNOCSYiImpiv/zyC/r37y9+QQUAd3d31NTUIDExsc7tfv/9d5SUlGD48OFimra2NoYOHYrTp083a53/CRp7Xg0NDeWCVQCwsLCAqakpcnJymq2+/ySNPbcyFy5cQEJCAubNm9ec1fzHaex5LS4uxo8//ojx48eLwSrRi4oBKxERURNLS0tDhw4d5NIMDQ3RqlUrpKWlPXE7AArbduzYEVlZWXj48GHTVvQfprHnVZm//voL+fn56NixY9NV8B/sac5tdXU1Vq9eDT8/P7Rq1ar5KvkP1NjzevXqVVRWVkJLSwszZ87EgAEDMGLECGzYsAFVVVXNW2kiNcOAlYiIqIk9ePAAhoaGCumGhoZ48ODBE7fT0dGBrq6uwnaCIKCoqKjJ6/pP0tjz+jhBEPC///0PrVu3xogRI5qyiv9YT3Nu9+/fj7KyMnEaO/2tsec1Ly8PALBy5Ur07NkTmzdvxhtvvIFvvvkGwcHBzVZfInXENaxERET0Qtm6dSuSkpKwceNG6OvrP+/q/KPl5+cjJCQEK1asgLa29vOuzr+GIAgAHq1ZfffddwEAjo6OKC0tRUREBGbMmAE9Pb3nWUWiZ4YjrERERE3MyMgIxcXFCulFRUUwMjJ64nYVFRUoLy9X2E4ikSgdqXmRNPa81nb48GGEhobiww8/5ANsamnsuQ0ODkbXrl3Rt29fFBUVoaioCNXV1aiurkZRUdELP321sedVdq07OjrKpffv3x8VFRW4e/du01aUSI1xhJWIiKiJdejQQWF9WnFxMXJzcxXWsz2+HfBofWW3bt3E9LS0NLRt2/aFH1Fp7HmViYuLw6pVqzBr1iyMHj26eSr5D9XYc5uWloZz585h6NChCp8NHToUGzZswMsvv9zEtf3naOx57dSp0xPLffxHLaJ/MwasRERETezll1/Gjh07UFRUJI6U/Pjjj9DQ0MDAgQPr3K53794wMDDAjz/+KAasVVVViIuLw+DBg59J3dVZY88rAKSkpOCjjz7CmDFjMGPGjGdR3X+Uxp7bhQsXKqytXrNmDXR1dTFnzhx07dq1Weut7hp7Xi0tLdGlSxckJSXhP//5j5h+5swZ6Orq1hvQEv2bMGAlIiJqYuPGjcPevXuxcOFC+Pv7Izs7G+vXr8fYsWPl3rsYGBiIzMxMfPfddwAAXV1d+Pn5YevWrTA1NUWXLl2wf/9+FBYW8l2haPx5TU1NxaJFi9C+fXt4eHjg4sWLYl5TU1NYW1s/60NRO409t927d1coq2XLlmjRooXCdNYXUWPPKwDMnj0bCxcuxJdffonBgwfj8uXL2LVrF6ZOncq11/RCYcBKRETUxIyMjLBlyxZ88cUXWLhwIQwMDDBmzBjMnj1bLp9srV9t06ZNgyAIiIiIwP3799GtWzds3LiRQRUaf17/+OMPFBcXo7i4GNOnT5fL6+npiaCgoGdRfbX2NH2W6vY059XFxQWffvopvv76axw4cACtWrXCW2+9hTfffPMZHgHR8ycRZI8hIyIiIiIiIlIjfEowERERERERqSUGrERERERERKSWGLASERERERGRWmLASkRERERERGqJASsRERERERGpJQasREREREREpJYYsBIREREREZFaYsBKREREREREaokBKxHRCyw7OxvGxsYIDQ2VS3/zzTfRoUOH51Opf4mgoCBIJBKkpaU9k/2FhYUp7K+srAzt2rXDihUrVC6vrr5BjSdro/j4+OddFXrOnvb+wL704kpLS4NEIkFQUNAz3W98fDwkEgnCwsIatf2FCxegoaGBhIQElbdlwEpE9AJbunQpWrduDT8/vwblz8rKwqJFi2Bvbw9DQ0MYGRmha9eumDBhAg4dOiSX19XVFS1btqyzLNkXtpSUFKWf379/H/r6+pBIJNi1a1ed5XTo0AESiUT8T0dHBx06dMCMGTNw586dBh3Xv5W+vj6WLFmCL774ApmZmSptq2rfoBfbhQsXEBQU9Mx+oKHnLy0tDUFBQbhw4cIz3S/7mqKCggIEBQWp9Q8Yffr0wZgxY7Bw4UIIgqDStgxYiYheUHfv3sX27dsxb948aGlp1Zv/r7/+wksvvYTNmzdj4MCBWLVqFT777DN4enri6tWr2LFjR5PWb/fu3SgvL0fHjh2xffv2J+a1trbGrl27sGvXLqxfvx4DBgzA9u3bMWDAAOTm5jZpvf5ppk+fDolEgjVr1jR4G1X7BjXMlClTUFZWBhcXl+ddlSZ34cIFrFixgkHECyQtLQ0rVqx4LgHri9zXbG1tUVZWhqVLl4ppBQUFWLFihVoHrADwzjvv4OzZs4iJiVFpO/4rRET0ggoJCYFEIsEbb7zRoPz/+9//kJ2dje+++w6jR49W+DwrK6tJ67dt2zYMHToUo0ePxjvvvINbt26hU6dOSvMaGxtj8uTJ4t8DAwPRpk0bbNq0CTt27MB7773XpHX7JzEwMMDYsWMRFhaGlStXQldXt95tVO0bz1t1dTXKy8vRokWL512VJ9LU1ISmpubzrgYR/YNJJBLo6ek972o0irOzMzp06IDg4GCMGjWqwdtxhJWIqIFka4Z++uknfPzxx7C1tYW+vj4GDBiAxMREAEBCQgKGDBkCAwMDWFpa4pNPPlFaVkpKCnx8fNCqVSvo6uqie/fu+PTTT1FVVSWXLykpCW+++Sa6deuGFi1awNDQEIMHD8bhw4cVynzzzTchkUhQWFgoBmx6enoYPHgwzpw5o5B///79cHR0RJs2bRp0/Ddu3AAAuLm5Kf28bdu2DSqnIc6dO4cLFy5g2rRpmDhxIrS0tOodZX3ciBEjAAA3b96sM8/Ro0chkUiwYcMGpZ8PGjQIrVu3RmVlJQDV2kMZWRspI5FI8Oabbyqk7927F0OGDIGhoSFatGiBAQMG4MCBAw3an8xrr72G3NxcxMXFNSh/XX2jpqYGn376KVxcXNC2bVvo6OjAxsYGgYGByMvLE/MVFBRAT08PY8eOVVr+Bx98AIlEIjcyU1hYiMWLF6NLly7Q1dVF69at8cYbb+DWrVty28quwx9//BGffPIJOnfuDD09Pezbtw8AcPz4cfznP/9Bp06doK+vDxMTE7z66qt1rps6ePAgXnrpJejp6cHGxgYrVqzAjz/+qHStVnl5Of773/+iV69e0NPTg4mJCby8vHD+/PkGnVdl6w6b6r7SoUMHuLq64ty5cxg2bBhatmwJMzMzTJs2DdnZ2XJ5i4qKsHTpUgwYMEC8B3Xp0gVLlixBaWmpQtmCICA0NBQDBgxAy5Yt0bJlSzg4OGDZsmUAHk3vl00dHzp0qDg9X1l/ftzvv/8OHx8fmJubQ09PD3Z2dli9ejWqq6vl8ql6f1NGtgzh8uXLeOedd2BpaYkWLVrAzc0N165dAwAcOnQI/fr1g76+Pjp06ICtW7cqLevrr78W8xkbG+PVV1/FqVOnFPLV1NTgs88+Q8eOHaGnpwd7e3vs3r27zjpmZmYiMDAQNjY20NHRQbt27TBz5kyFNlRVQ8+zq6ur0ucXPL5uMiwsDEOHDgUA+Pn5iW3u6uoKQH6948aNG9GtWzfo6emhW7du2Lhxo0L5sv77uMfXTTa2r8n6T15eHt588020atUKhoaGGDNmjPhj69atW9GzZ0/o6emhR48eiIyMVCjnq6++wquvvgorKyvo6OjA0tISkydPVjraW11djU8++QS2trbQ09ND7969sXfvXqXrl1Xp34+3RXx8PDp27AgAWLFihXhOZO34pLWndf2bFBkZib59+0JPTw/t27fH//3f/4n/Dj5OlfuiRCLBiBEjcOzYMRQXFystTxmOsBIRqWjJkiWorq7G/PnzUVFRgS+//BKvvvoqwsPDMX36dMycOROTJk3Cvn37sGzZMnTs2FFu9O/777/H2LFj0aVLFyxcuBBmZmb49ddfsWzZMly4cAH79+8X8x4+fBhXr17F66+/DltbW+Tl5WHnzp0YO3Ysdu/ejYkTJyrUb8SIEWjdujWWLVuGvLw8rFmzBqNGjUJqaioMDQ0BAPfu3cO1a9fw9ttvN/i4O3fuDAAIDQ3FO++8U2fg9bi6puQq+2Iss23bNrRs2RLjxo2DgYEBPD09sXPnTnz88cfQ0GjYb62yALtVq1Z15nn11VfRtm1bhIeHK5yLGzduIDExEW+//Ta0tbUBNK49nsbSpUvx6aefYuTIkfjkk0+goaGBw4cPY/z48di0aRPmzJnToHIGDRoE4NEXl5EjRz4x75P6RkVFBb744guMGzcOo0ePhoGBAZKTk7Ft2zacOnUKZ8+ehY6ODkxMTODt7Y3IyEjk5+fDzMxMLKOmpga7d+9G79690adPHwCPgtWXX34Zt2/fhr+/P3r16oXMzEx89dVXGDBgAFJSUmBraytXl0WLFqGyshIBAQEwMjJC9+7dATz6Ip2fn4+pU6fC2toa6enp+Prrr+Hm5oa4uDg4OzuLZezduxdvvPEGOnfujOXLl0NLSws7d+5EdHS0wrFXVlZi5MiR+OWXXzBlyhTMnTsXhYWFCA0NxeDBg3Hy5Ek4Ojo2qD2Uedr7CvBoKrebmxvGjRsHX19fnDt3Dtu3b0dKSgqSk5PFEWjZORk3bpz4g1BCQgJWr16N8+fP44cffpArd8qUKdi9ezcGDBiAjz76CCYmJrh69SoOHDiAjz/+GGPHjkVmZia2bt2KDz/8ED179gTw9z2jLikpKXjllVegra2NOXPmoG3btoiOjsbixYvx22+/KQ3sGnJ/q8+0adPQsmVLfPjhh8jJycGXX36JESNG4JNPPsH777+PwMBA+Pv7Y9u2bXjrrbdgZ2eHIUOGiNsvXrwYq1evRv/+/fHf//4XRUVF2Lp1K4YOHYrIyEh4eHiIeRcsWID169fDxcUF7777LrKzszFnzhyls0Vu376NQYMGoaKiAtOnT0fnzp1x8+ZNbNmyBXFxcUhJSYGxsXGDjvFpz3N9XFxc8OGHH+K///0vZs6cKV5XFhYWcvk2btyIrKwsvPXWWzA0NMQ333yDt99+G/n5+Vi+fLnK+21sX5MZOXIkrK2t8fHHH+PmzZvYsGEDfHx8MHbsWGzduhXTp0+Hnp4eNmzYAF9fX1y/fl0MBoFHM40GDhyIt99+G2ZmZvjjjz/w9ddf48SJE7h48SLMzc3FvHPnzkVwcDCGDh2KRYsWIScnB7Nnz5Yr73GN6d89e/bE2rVr8e6774rHAuCJz5B4ksOHD2PcuHHo0KEDli1bBi0tLezYsQPff/+9Qt7G3BcHDRqEkJAQnDp1qt5/j0QCERE1yI4dOwQAQt++fYXy8nIxPTIyUgAgaGlpCcnJyWJ6eXm50LZtW2HgwIFiWllZmWBhYSE4OzsLlZWVcuWvWbNGACDExcWJacXFxQr1KCkpEbp16yb07NlTLn3atGkCACEwMFAufd++fQIAITg4WEw7ceKEAEBYv3690mOdNm2aYGtrK5f2559/CkZGRgIAoX379sLEiROFtWvXCikpKUrLeOWVVwQA9f5X+5zJzpGJiYkwbdo0Me27774TAAgxMTEK+7G1tRV69Ogh5OTkCDk5OcKtW7eE7du3C8bGxoKWlpZw8eJFpfWTWbRokQBAuHTpklz60qVLBQDC2bNnxTRV2mP58uUCACE1NVVMk7WRMgDkjvns2f/X3rlHRXmcf/y7sC73i6xLAgUFBURxJSAoVSuRg3gpktCAqFjE6zG2x0sU20TbEGIUjUjpQU09KoTbiWlcS0MEUZFjY9RwaAQ1bPSUi9agXOSukcA+vz/s+3Zf9l3YBYz253zO8cg+7+zM8848M+/OO8/MU04A6O2339ZJ+9prr5GNjQ21t7fzMs4+tcvTRiqVUnh4uOg1bfqzDY1GQw8fPtSRHzlyhADQ8ePHeVlBQQEBoAMHDgjSnj17lgBQSkoKL9uwYQOZm5vT1atXBWlra2vJxsZGUC/cfXp5eVFXV5eOLmJtdO/ePZLL5TR//nxe9uOPP5KzszM5OjrSgwcPeHlHRwe5u7sTAMrIyODlXP8sKioS5N3W1kaurq4UHBysU25fON21+/hwjCtET/oBAEpNTRXIOb13794tyKO7u1tHP87mr1y5wsuOHz9OAGjZsmXU29srSK/9WezeBmL69OlkampKFRUVvEyj0VB0dDQBoLNnz/JyY8Y3fXB9Mjw8nDQaDS9PS0sjAGRjY0O3b9/m5Q0NDWRmZkaLFy/mZWq1miQSCc2YMUPQXnfv3iU7OzsaM2YM9fT0CNKGhITwMqInfVsikej014iICFIoFHTnzh2B3mVlZWRqakrvvvsuLzOmvo2p5+DgYJ2xn4iopqaGAAh0OH/+vE4/6XvN2tpacD+PHz+mwMBAkkqlAvmYMWNE+5BYGYOxNc5+1q9fL5Bv3ryZf6a1tbXx8oqKCgJAv//97wXpxcYXbkzbs2cPL7t+/ToBoLlz5wr6SWVlJZmYmOh9Nhhi32JtISbj6K+d+j6Tenp6yNXVleRyOTU2NvLy1tZWGj169LCMi//4xz8IAO3bt0/nmj6YSzCDwWAYyZtvvgmZTMZ/5t4sT5s2TfAmUSaTYerUqfxKHwCcOXMG9+/fx4oVK9Da2oqmpib+H/dWvri4mE9vZWXF//3w4UM0Nzfj4cOHCAkJQVVVFdrb23X027x5s+BzSEgIAAj0aGxsBADBytdAjB07FhUVFfyqXl5eHjZv3oyAgABMnjwZ5eXlOt8xNzfHmTNnRP/9+te/Fi1HpVKhtbUVy5cv52ULFiyAQqHQ6xasVquhUCigUCgwduxYrFy5EqNGjUJ+fj4mTZrU731x5WRlZfEyIkJOTg4mTZoEf39/Xj6Y9hgsubm5kEgkWL58ucBOmpqaEBERgY6ODly6dMng/BwcHAxyK+zPNiQSCSwsLAA8cXfjbJizMW3Xtblz5+Kll14S1CvwpJ6lUiliY2MBPKnr3NxczJo1Cz/72c8E92llZYWgoCBBn+B48803RfesardRZ2cnmpubYWpqimnTpgn0Ky8vx/fff4/4+HiMHDmSl1tbW2PdunU6+ebk5MDb2xtTpkwR6Njd3Y05c+bgyy+/xKNHj0Rq1DCGMq5w2NraYv369QLZ+vXrYWtrK3Bbl8lkvNdAT08PWlpa0NTUhNDQUADCduRW3/bt26fj3WCot4MYDQ0N+OqrrxAREYHJkyfzcolEgu3btwOAqKu9IePbQGzYsEHgIcLVdUREBFxdXXm5QqHA+PHjBXnn5+eDiLBt2zZBezk7O2PFihWoq6vjXSG5tG+99ZZg77K/vz/mzJkj0KmtrQ0FBQWIiIiAubm5wMbc3Nzg4eEh2g8GYrD1PFzExsbCxcWF/yyTybB582b09PSIejI8bTZt2iT4zLV9XFwcbG1tefnkyZNha2urY1fc+KLRaNDW1oampib4+vrCzs5O0G8KCgoAABs3bhT0E6VSyW9XEWM47HsolJeX486dO1ixYoXAO8nOzm7YxkVuFdoYN3fmEsxgMBhG0teVi/uxK+bmM3LkSMHevqqqKgDAypUr9eZ///59/u+Ghgbs2LED+fn5ooN7a2ur4CErph/3cNDWg/uxRkYeLe/m5ob09HSkp6ejvr4eX375JbKzs/H5558jPDwcN27cEEx0TE1N+R/BfRHb7wU8cQdWKBRwcXER7D8NCwvDX//6VzQ1Nem4+bq5ufHxQrl9Xx4eHgbdEzcpzc3Nxa5du2BiYoILFy6gtrYWe/fuFaQdTHsMlqqqKhARvL299abRtpWBICKD3LgHso1PP/0UKSkp+Oabb3T2NLW0tPB/c5PS/fv34+bNm/Dy8kJXVxdUKhXCwsJ418HGxkY0NzejuLgYCoVCtEyxiZGXl5do2n/961/Yvn07Tp8+jdbWVtF7A4CamhoA4F2JtRGTVVVV4dGjR3p1BJ64v2tPeIxhKOOKdh7akygAMDMzw9ixY3X2Ah88eBAfffQRbty4AY1GI7im3Y63bt2Ck5OTjqvnUOHq38fHR+fahAkTYGJioqMzYNj4NhDG1nVdXZ1BenOy6upqBAQE8PqL9eGJEycKJqDfffcdNBoNjh49iqNHjxqktyEMtp6HC85lV5uJEycCwFMtVx9D7WclJSVISkrClStX8MMPPwiuafebgcaXwsJCg/QbjH0PhYFsti+DGRe5Z4uh24oANmFlMBgMo9F3yqchp39yA/WHH37I79/ri7OzM582LCwMVVVV2LhxIwICAmBnZwdTU1NkZGQgLy9P54dmf3poT0C4h8uDBw8G1FkfTk5OiI6ORnR0NGJjY5GXl4dTp07p7KszhpqaGpw/fx5EpHdCkpOTo/OW3MrKSu/E2BDi4uKwadMmlJSUIDQ0FFlZWTA1NRXcy2DbQxt9D+i+h21x5UkkEhQWFuptU7EfofpoaWnp90cFR3+2oVKpEBMTg6lTpyItLQ2urq4wNzdHb28v5s2bp3P/cXFx2L9/P7KysrBz506oVCp0dnYKVs85uwwNDcXvfvc7g+9HbHW1s7MTs2bNQldXFzZt2gSlUgkbGxuYmJhg9+7dKCkpMTj/vhARlEplv+GBDKlffQxlXDGW/fv3Y8uWLQgLC8OGDRvg7OwMmUyGu3fvIj4+fkA7fpYYMr4NNo/hyHuwcGUsW7ZM0D+04bwbnibGjFH/i+UOpe3LysoQFhYGDw8PJCcnw93dnY8Vvnjx4mHpN0/DBvubGA61fgczLnLPFmPGSzZhZTAYjJ8QT09PAIZNsCorK1FRUYE//vGPeO+99wTXjhw5MiQ9uInOcLkZBQUFIS8vD3fv3h1SPhkZGfyJpPb29jrXd+zYgWPHjulMWIfK0qVLkZCQgKysLMyYMQOfffYZ5syZAycnJz7NcLQHt/rc9yAisZUGT09PFBUVYfTo0aKrFMZQW1uLnp6eAd2jgf5tIzs7G+bm5jh//rxgwqhWq0Xz8vX1ha+vL3JycvD+++8jKyuLP5CJQ6FQwN7eHu3t7UN66QAA586dw/fff49jx47xJ4lyaMcsBMCfoMmdDquNmMzT0xONjY0ICQkZkivs06S6uhrd3d2CVdbHjx+jurpasGKSnZ0NNzc3FBYWCu6lqKhIJ08vLy/k5+fj/v37/a6yGrNaAvx3RevGjRs619RqNTQazaBWFJ82nE43btzQOejn22+/FaTh/ler1XrTcnh4eEAikaC7u3vI/UAbY+vZwcFBdHuH2BhlSJtzXkXa9K0nrlyxl2SDLfdpkJeXh97eXhQWFgpWZLu6ugSrq4BwfOlrx2Ljy1Dpr060nzt96Vu/2jbbl742CwxuXOQ8pwx5HnE8nyMug8Fg/D9l7ty5cHR0RHJysujD49GjR+jo6ADw3zetfd+sXr9+fch7jhQKBXx8fPiwGYZQWloqukdPo9Hwe5HEXIYMRaPRIDMzE0qlEqtXr0ZUVJTOvyVLluDatWsoKysbdDliKBQKzJ8/HyqVCrm5uWhvb9dZ5RiO9uBWjc+ePSuQp6Sk6KTl9vi+8847OqEnAOPcgbl2Dg4OHjBtf7ZhamoKiUQiWEkgIuzcuVNvfsuXL0ddXR3y8vJQUlKCmJgYQQxBExMTxMbG4uuvv9YbrsfQvU762qi4uFgnNERAQACcnJyQmZkp+LHZ2dmJjz76SCfvuLg43Lt3T+9KgjHt8bRob2/HwYMHBbKDBw+ivb0dr7/+Oi/j2lG7nnp6epCcnKyTJ7fXeNu2bTorSNrf504kNdRrw9HREdOnT8fnn3+O69evC/LcvXs3ACAyMtKgvH5KIiIiIJFI8OGHHwpc4uvr65GRkYExY8bAz89PkHb//v2CPvzPf/5TZwyQy+VYsGABVCqVaN8jIn5/uTEYW89eXl7o6OjA119/zcs0Gg1SU1N18jakzXNzc/Hvf/+b/9zd3Y3U1FSYmpoiPDxcUK5arRa89Hz8+DEOHDgwqHKfBvrGl127dun0jYULFwIA0tLSBNeuXbumcwr3cNBfnbi7u0MqlerY3FdffaVja1OmTIGLiwsyMjIEJ/y3t7cP27h4+fJlSKVSzJgxY+Ab+w9shZXBYDB+QqysrJCVlYXXX38d48ePx8qVK+Hh4YHW1lao1WqoVCqcPHkSr776KiZMmAAfHx/s3bsXDx8+xPjx43Hz5k385S9/gVKpFH0LbgzR0dF4//33UV9fL1hJ1Me+fftw8eJFLFy4EP7+/rCzs8O9e/dw4sQJlJeXY/bs2UYFAu9LcXEx7ty5g1WrVulN88YbbyAxMRFHjx5FYGDgoMsSY/ny5fj73/+OLVu2wM7OTvADH8CwtMeSJUvwzjvvYO3atVCr1XBwcEBRUZFo6J/AwEAkJiYiMTERr7zyCqKjo+Hs7Iz6+nqUl5fj1KlT6O7uNujeTp06hVGjRvFxEwdCn21ERUXhxIkTCAkJQVxcHH788Uf87W9/6zdEUWxsLLZt24b169dDo9GIujt+8MEHuHjxIhYtWoRFixYhKCgIMpkMdXV1OHXqFKZMmSIaQ7AvM2fOxMsvv4wtW7agtrYWLi4uuHr1KrKzs6FUKnHt2jU+rVQqxb59+xAbG4upU6di1apVkEqlyMzMhFwuR01NjWDVYuPGjThz5gwSEhJQUlKCkJAQ2Nra4vbt2zh37hy/8vwsGTduHN577z1cv34dU6ZMQXl5OY4dOwZvb29BmKKoqCi8/fbbmD9/Pn71q1+hvb0deXl5/EFM2kRHRyMmJgZZWVm4desWIiIiMHLkSNy8eROnT5/mJ0GBgYEwMTHBBx98gJaWFlhZWcHd3R3Tpk3Tq29aWhqCg4Pxi1/8gg+3UlBQgNOnT2Pp0qV6Yz4/S8aPH4+EhATs3bsXs2bNQkxMDB/WprOzE7m5ufzExtvbG7/5zW+Qnp6OkJAQvPHGG2hoaEB6ejp8fX114lQeOnQIM2fOxKxZsxAXFwc/Pz9oNBpUV1cjPz8fcXFxfOxNYzCmnteuXYuUlBRERkZi48aNkMlk+Oyzz0RdRydOnAgbGxscPHgQlpaWsLe3h6OjI39QEPBkIjpt2jSsW7cONjY2yMvLQ1lZGf7whz8I9jX+9re/xSeffILQ0FCsW7cO3d3dyM7OFnX9H4ytDQeRkZFITU3FggULsHbtWshkMpw5cwaVlZU65yr4+Phg7dq1OHz4MEJDQxEZGYnGxkYcOHAAfn5+KC8vH9aVYrlcDg8PD3zyyScYN24cXnrpJVhZWWHhwoWwtrZGfHw8jhw5giVLluDVV1/FrVu3kJGRgcmTJ6OiooLPx9TUFKmpqVi0aBGmTp2KNWvW8HHQ5XI5bt++LSjX2HGRiFBUVIR58+YZF3bH4POEGQwG4wWnv6P00SckCYe+MCbXrl2j2NhYcnZ2phEjRpCjoyP9/Oc/p6SkJGpububT1dbWUlRUFI0aNYosLCwoMDCQVCrVkEOmED0JwyCVSkWPlhcLa3Pp0iV66623KCAggBwdHUkqlZKdnR0FBQVRSkoK/fDDD4L0wcHBZGVlJaoP0X9DTHAhO6KioggAVVZW6v0OEZGXlxfZ2dnx4VXGjBlDPj4+/X7HEB4/fkwODg4EgFavXi2axpj2EJMREV2+fJmmT59OZmZmJJfLac2aNdTS0qLXhgoKCigsLIxGjhxJMpmMXFxcaN68eXTo0CFBOn1hbTo7O8nKyoq2bt1qcF30ZxuHDx+mCRMmkJmZGb388su0Zs0aam5u1qs/EVF4eDgBIE9PT71ldnV1UVJSEk2aNInMzc3J2tqavL29afXq1XT58mWd+9QX0qKiooLmzp1L9vb2ZG1tTcHBwXThwgW9/ePTTz8lpVJJMpmMXF1dKTExkVQqlU6YHqInoXDS0tIoICCALC0tydLSkjw8PGjp0qV0+vRpvffWn+7DNa5wYUHKy8tp9uzZZGlpSfb29rRs2TK6d++eIG1PTw/t2rWLxo0bRzKZjEaPHk0JCQn07bffiobG6O3tpfT0dPLz8yMLCwuytrYmpVJJiYmJgnSZmZk0YcIEGjFiRL/2oM3Vq1fptdde4+3b29ub9uzZIwgDo++eB6qnvujrk/2FBNEX5uXw4cP0yiuvkJmZGdnY2FBoaChduHBBJ11vby/t3LmTRo8eTTKZjHx8fCgnJ0evLo2NjbR161by9PQkMzMzsrOzo0mTJtGGDRsEobeMDe1iaD0TEX3xxRfk6+tLMpmMnJycaNu2baRWq0Xr6IsvviA/Pz8yMzMjAHwYE+1QKmlpaeTh4UEymYw8PDzoT3/6k6iOmZmZ5OXlRSNGjCA3Nzfas2cPnTt3TjQki7G2ps9++gv5IhZq5+TJk+Tv70+WlpYkl8spJiaG6urqRNP29PRQYmIiubq6kkwmI6VSScePH6ctW7YQALp///6A+hHp2rc+e71y5QpNnz6dLC0tCYDAbjs6OmjVqlXk4OBAFhYWNHPmTLp48aLeck+cOMHbgIuLC+3YsYOKi4tF68qYcbG0tJQAUEFBgei96kPyn4pgMBgMxgvIunXrUFxcjO+++06wuhIfH4/S0lLU1tY+O+UYRpGZmYkVK1agpqaG3z8FPFld2b59O3/aq6Hos40XgZSUFGzduhWXLl1CUFDQs1bHINzc3ODm5obS0tJnrQqDgdLSUsyePRsZGRmIj49/1uo8VyxcuBAlJSVob29/KoeqPc9ERkbizp07KCsrM2qFme1hZTAYjBeYpKQkNDc3IyMj41mrwngKPHr0CMnJyUhISDBqsgq8GLbR3d2tsz+4s7MTBw4cgFwuF8TgZTAYDGMQO/OhsrIShYWFCAkJeeEmq9988w3y8/ORkpJitDs028PKYDAYLzCOjo5oa2t71mownhIWFhaor68f1HdfBNuorq7G/PnzsXjxYri7u6O+vh4ff/wxampqcOjQIZ2YpgwGg2EoH3/8MbKysvDLX/4SCoUCarUahw8fhkwmQ1JS0rNW7yeH25M9GNiElcFgMBgMxguJQqFAUFAQcnNz0dDQAKlUCqVSieTkZCxatOhZq8dgMP6H8ff3x8mTJ/HnP/8ZDx48gI2NDUJCQvDuu+/yJ0kzDIPtYWUwGAwGg8FgMBgMxnMJ28PKYDAYDAaDwWAwGIznEjZhZTAYDAaDwWAwGAzGcwmbsDIYDAaDwWAwGAwG47mETVgZDAaDwWAwGAwGg/FcwiasDAaDwWAwGAwGg8F4LmETVgaDwWAwGAwGg8FgPJewCSuDwWAwGAwGg8FgMJ5L2ISVwWAwGAwGg8FgMBjPJWzCymAwGAwGg8FgMBiM55L/A3wf9VQAzBcqAAAAAElFTkSuQmCC\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "shap.summary_plot(shap_values[:,:], X_train_sample, plot_type=\"bar\")"
   ],
   "metadata": {
    "collapsed": false
   }
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}