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+++ b/demo/kgwas_subsampling.ipynb
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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Reproducing the subsampling analysis"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "All required data files are present.\n"
+     ]
+    }
+   ],
+   "source": [
+    "import sys\n",
+    "sys.path.append('../')\n",
+    "\n",
+    "from kgwas import KGWAS_Data\n",
+    "from kgwas.eval_utils import get_clumps_gold_label, get_meta_clumps, get_mega_clump_query, get_curve\n",
+    "from tqdm import tqdm\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "\n",
+    "data_path = '/dfs/project/datasets/20220524-ukbiobank/data/kgwas_data/'\n",
+    "data = KGWAS_Data(data_path = data_path)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['body_BALDING1',\n",
+       " 'disease_ALLERGY_ECZEMA_DIAGNOSED',\n",
+       " 'disease_HYPOTHYROIDISM_SELF_REP',\n",
+       " 'pigment_SUNBURN',\n",
+       " '21001',\n",
+       " '50',\n",
+       " '30080',\n",
+       " '30070',\n",
+       " '30010',\n",
+       " '30000',\n",
+       " 'biochemistry_AlkalinePhosphatase',\n",
+       " 'biochemistry_AspartateAminotransferase',\n",
+       " 'biochemistry_Cholesterol',\n",
+       " 'biochemistry_Creatinine',\n",
+       " 'biochemistry_IGF1',\n",
+       " 'biochemistry_Phosphate',\n",
+       " 'biochemistry_Testosterone_Male',\n",
+       " 'biochemistry_TotalBilirubin',\n",
+       " 'biochemistry_TotalProtein',\n",
+       " 'biochemistry_VitaminD',\n",
+       " 'bmd_HEEL_TSCOREz']"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data.get_pheno_list()['21_indep_traits']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "      <td>0.179855</td>\n",
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+       "      <td>0.810017</td>\n",
+       "      <td>0.556670</td>\n",
+       "      <td>0.291907</td>\n",
+       "      <td>0.833291</td>\n",
+       "      <td>0.223999</td>\n",
+       "    </tr>\n",
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+       "      <th>...</th>\n",
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+       "    </tr>\n",
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+       "      <th>536545</th>\n",
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+       "      <td>0.397430</td>\n",
+       "      <td>0.324668</td>\n",
+       "      <td>0.326413</td>\n",
+       "      <td>0.435458</td>\n",
+       "      <td>0.370817</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>536546 rows × 6 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                 ID   P_seed1   P_seed2   P_seed3   P_seed4   P_seed5\n",
+       "0         rs3131962  0.769574  0.317521  0.179855  0.524405  0.449508\n",
+       "1        rs12562034  0.096443  0.662786  0.863633  0.711095  0.101351\n",
+       "2         rs4040617  0.700440  0.289914  0.230769  0.455915  0.471616\n",
+       "3        rs79373928  0.552305  0.477996  0.006953  0.169693  0.749829\n",
+       "4        rs11240779  0.810017  0.556670  0.291907  0.833291  0.223999\n",
+       "...             ...       ...       ...       ...       ...       ...\n",
+       "536541   rs73174435  0.312853  0.730114  0.870168  0.409637  0.345601\n",
+       "536542    rs3810648  0.623566  0.984208  0.461422  0.711653  0.931965\n",
+       "536543    rs5771002  0.131033  0.890363  0.700539  0.513670  0.429219\n",
+       "536544    rs3865764  0.831915  0.794813  0.914937  0.659038  0.814384\n",
+       "536545  rs142680588  0.397430  0.324668  0.326413  0.435458  0.370817\n",
+       "\n",
+       "[536546 rows x 6 columns]"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pd.read_csv(data_path + 'model_pred/subsample_results/body_BALDING1_gwas_2500.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>CHR</th>\n",
+       "      <th>SNP</th>\n",
+       "      <th>POS</th>\n",
+       "      <th>A1</th>\n",
+       "      <th>A2</th>\n",
+       "      <th>N</th>\n",
+       "      <th>AF1</th>\n",
+       "      <th>BETA</th>\n",
+       "      <th>SE</th>\n",
+       "      <th>P</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>rs3131962</td>\n",
+       "      <td>756604</td>\n",
+       "      <td>A</td>\n",
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+       "      <td>407023</td>\n",
+       "      <td>0.129655</td>\n",
+       "      <td>0.000286</td>\n",
+       "      <td>0.001048</td>\n",
+       "      <td>0.784760</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>rs12562034</td>\n",
+       "      <td>768448</td>\n",
+       "      <td>A</td>\n",
+       "      <td>G</td>\n",
+       "      <td>407057</td>\n",
+       "      <td>0.104966</td>\n",
+       "      <td>-0.001491</td>\n",
+       "      <td>0.001147</td>\n",
+       "      <td>0.193592</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
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+       "      <td>rs4040617</td>\n",
+       "      <td>779322</td>\n",
+       "      <td>G</td>\n",
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+       "      <td>0.127520</td>\n",
+       "      <td>0.000108</td>\n",
+       "      <td>0.001056</td>\n",
+       "      <td>0.918404</td>\n",
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+       "    <tr>\n",
+       "      <th>3</th>\n",
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+       "      <td>801536</td>\n",
+       "      <td>G</td>\n",
+       "      <td>T</td>\n",
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+       "      <td>0.014884</td>\n",
+       "      <td>0.004382</td>\n",
+       "      <td>0.002904</td>\n",
+       "      <td>0.131349</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1</td>\n",
+       "      <td>rs11240779</td>\n",
+       "      <td>808631</td>\n",
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+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
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+       "    <tr>\n",
+       "      <th>542753</th>\n",
+       "      <td>22</td>\n",
+       "      <td>rs73174435</td>\n",
+       "      <td>51174939</td>\n",
+       "      <td>T</td>\n",
+       "      <td>C</td>\n",
+       "      <td>407201</td>\n",
+       "      <td>0.053846</td>\n",
+       "      <td>-0.001980</td>\n",
+       "      <td>0.001559</td>\n",
+       "      <td>0.203959</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>542754</th>\n",
+       "      <td>22</td>\n",
+       "      <td>rs3810648</td>\n",
+       "      <td>51175626</td>\n",
+       "      <td>G</td>\n",
+       "      <td>A</td>\n",
+       "      <td>404901</td>\n",
+       "      <td>0.060979</td>\n",
+       "      <td>0.001922</td>\n",
+       "      <td>0.001474</td>\n",
+       "      <td>0.192116</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>542755</th>\n",
+       "      <td>22</td>\n",
+       "      <td>rs5771002</td>\n",
+       "      <td>51183255</td>\n",
+       "      <td>A</td>\n",
+       "      <td>G</td>\n",
+       "      <td>401398</td>\n",
+       "      <td>0.333603</td>\n",
+       "      <td>-0.000165</td>\n",
+       "      <td>0.000751</td>\n",
+       "      <td>0.826494</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>542756</th>\n",
+       "      <td>22</td>\n",
+       "      <td>rs3865764</td>\n",
+       "      <td>51185848</td>\n",
+       "      <td>G</td>\n",
+       "      <td>A</td>\n",
+       "      <td>406611</td>\n",
+       "      <td>0.050601</td>\n",
+       "      <td>-0.001311</td>\n",
+       "      <td>0.001605</td>\n",
+       "      <td>0.413994</td>\n",
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+       "    <tr>\n",
+       "      <th>542757</th>\n",
+       "      <td>22</td>\n",
+       "      <td>rs142680588</td>\n",
+       "      <td>51193629</td>\n",
+       "      <td>G</td>\n",
+       "      <td>A</td>\n",
+       "      <td>407108</td>\n",
+       "      <td>0.075912</td>\n",
+       "      <td>-0.002861</td>\n",
+       "      <td>0.001329</td>\n",
+       "      <td>0.031362</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>542758 rows × 10 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        CHR          SNP       POS A1 A2       N       AF1      BETA  \\\n",
+       "0         1    rs3131962    756604  A  G  407023  0.129655  0.000286   \n",
+       "1         1   rs12562034    768448  A  G  407057  0.104966 -0.001491   \n",
+       "2         1    rs4040617    779322  G  A  406623  0.127520  0.000108   \n",
+       "3         1   rs79373928    801536  G  T  407517  0.014884  0.004382   \n",
+       "4         1   rs11240779    808631  G  A  404493  0.224886 -0.001155   \n",
+       "...     ...          ...       ... .. ..     ...       ...       ...   \n",
+       "542753   22   rs73174435  51174939  T  C  407201  0.053846 -0.001980   \n",
+       "542754   22    rs3810648  51175626  G  A  404901  0.060979  0.001922   \n",
+       "542755   22    rs5771002  51183255  A  G  401398  0.333603 -0.000165   \n",
+       "542756   22    rs3865764  51185848  G  A  406611  0.050601 -0.001311   \n",
+       "542757   22  rs142680588  51193629  G  A  407108  0.075912 -0.002861   \n",
+       "\n",
+       "              SE         P  \n",
+       "0       0.001048  0.784760  \n",
+       "1       0.001147  0.193592  \n",
+       "2       0.001056  0.918404  \n",
+       "3       0.002904  0.131349  \n",
+       "4       0.000846  0.172345  \n",
+       "...          ...       ...  \n",
+       "542753  0.001559  0.203959  \n",
+       "542754  0.001474  0.192116  \n",
+       "542755  0.000751  0.826494  \n",
+       "542756  0.001605  0.413994  \n",
+       "542757  0.001329  0.031362  \n",
+       "\n",
+       "[542758 rows x 10 columns]"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pd.read_csv(data_path + f'full_gwas/body_BALDING1_with_rel_fastgwa.fastGWA', sep = '\\t')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      " 40%|██████████████████████████████████████████▍                                                               | 2/5 [01:47<02:40, 53.61s/it]/dfs/user/kexinh/miniconda3/envs/a100_env/lib/python3.8/site-packages/pandas/core/arraylike.py:364: RuntimeWarning: divide by zero encountered in log10\n",
+      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [02:58<00:00, 35.71s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [03:06<00:00, 37.29s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [03:18<00:00, 39.79s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [03:23<00:00, 40.67s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [03:35<00:00, 43.17s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [03:36<00:00, 43.26s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [04:00<00:00, 48.16s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [04:01<00:00, 48.25s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [04:17<00:00, 51.52s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [04:24<00:00, 52.98s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [04:31<00:00, 54.36s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [04:57<00:00, 59.58s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [05:09<00:00, 61.92s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [05:12<00:00, 62.59s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [06:05<00:00, 73.07s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [06:17<00:00, 75.56s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [06:19<00:00, 75.85s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [06:51<00:00, 82.27s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [07:01<00:00, 84.22s/it]\n",
+      "100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [08:24<00:00, 100.82s/it]\n",
+      "100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [20:59<00:00, 251.96s/it]\n",
+      "100%|████████████████████████████████████████████████████████████████████████████████████████████████████████| 21/21 [21:00<00:00, 60.04s/it]\n",
+      " 40%|██████████████████████████████████████████▍                                                               | 2/5 [01:32<02:16, 45.52s/it]/dfs/user/kexinh/miniconda3/envs/a100_env/lib/python3.8/site-packages/pandas/core/arraylike.py:364: RuntimeWarning: divide by zero encountered in log10\n",
+      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [03:07<00:00, 37.49s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [03:12<00:00, 38.41s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [03:25<00:00, 41.12s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [03:31<00:00, 42.23s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [03:41<00:00, 44.31s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [03:42<00:00, 44.51s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [04:07<00:00, 49.52s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [04:07<00:00, 49.54s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [04:27<00:00, 53.48s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [04:33<00:00, 54.72s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [04:38<00:00, 55.71s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [05:02<00:00, 60.46s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [05:12<00:00, 62.44s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [05:23<00:00, 64.78s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [06:11<00:00, 74.26s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [06:20<00:00, 76.20s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [06:25<00:00, 77.09s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [07:00<00:00, 84.08s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [07:04<00:00, 84.97s/it]\n",
+      "100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [08:25<00:00, 101.09s/it]\n",
+      "100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [20:36<00:00, 247.38s/it]\n",
+      "100%|████████████████████████████████████████████████████████████████████████████████████████████████████████| 21/21 [20:37<00:00, 58.95s/it]\n",
+      " 40%|██████████████████████████████████████████▍                                                               | 2/5 [01:40<02:29, 49.68s/it]/dfs/user/kexinh/miniconda3/envs/a100_env/lib/python3.8/site-packages/pandas/core/arraylike.py:364: RuntimeWarning: divide by zero encountered in log10\n",
+      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [03:05<00:00, 37.10s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [03:10<00:00, 38.12s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [03:22<00:00, 40.48s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [03:34<00:00, 43.00s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [03:43<00:00, 44.63s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [03:46<00:00, 45.29s/it]\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [04:07<00:00, 49.50s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [04:07<00:00, 49.51s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [04:29<00:00, 53.84s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [04:35<00:00, 55.06s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [04:40<00:00, 56.19s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [04:59<00:00, 59.98s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [05:12<00:00, 62.56s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [05:14<00:00, 62.83s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [06:13<00:00, 74.60s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [06:22<00:00, 76.41s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [06:23<00:00, 76.61s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [07:01<00:00, 84.39s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [07:08<00:00, 85.62s/it]\n",
+      "100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [08:22<00:00, 100.54s/it]\n",
+      "100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [21:30<00:00, 258.02s/it]\n",
+      "100%|████████████████████████████████████████████████████████████████████████████████████████████████████████| 21/21 [21:31<00:00, 61.48s/it]\n",
+      " 40%|██████████████████████████████████████████▍                                                               | 2/5 [01:33<02:19, 46.48s/it]/dfs/user/kexinh/miniconda3/envs/a100_env/lib/python3.8/site-packages/pandas/core/arraylike.py:364: RuntimeWarning: divide by zero encountered in log10\n",
+      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [03:07<00:00, 37.48s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [03:08<00:00, 37.71s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [03:30<00:00, 42.03s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [03:39<00:00, 44.00s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [03:41<00:00, 44.27s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [03:46<00:00, 45.36s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [04:04<00:00, 48.94s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [04:10<00:00, 50.02s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [04:31<00:00, 54.25s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [04:35<00:00, 55.19s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [04:37<00:00, 55.41s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [04:55<00:00, 59.12s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [05:16<00:00, 63.24s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [05:27<00:00, 65.41s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [06:10<00:00, 74.18s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [06:26<00:00, 77.24s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [06:30<00:00, 78.01s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [07:00<00:00, 84.12s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [07:09<00:00, 85.96s/it]\n",
+      "100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [08:27<00:00, 101.51s/it]\n",
+      "100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [21:14<00:00, 254.94s/it]\n",
+      "100%|████████████████████████████████████████████████████████████████████████████████████████████████████████| 21/21 [21:15<00:00, 60.75s/it]\n",
+      " 20%|█████████████████████                                                                                    | 1/5 [01:48<07:13, 108.47s/it]/dfs/user/kexinh/miniconda3/envs/a100_env/lib/python3.8/site-packages/pandas/core/arraylike.py:364: RuntimeWarning: divide by zero encountered in log10\n",
+      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [03:15<00:00, 39.06s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [03:18<00:00, 39.68s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [03:37<00:00, 43.60s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [03:44<00:00, 44.82s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [03:53<00:00, 46.78s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [03:54<00:00, 46.84s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [04:12<00:00, 50.53s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [04:18<00:00, 51.63s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [04:36<00:00, 55.22s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [04:46<00:00, 57.35s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [04:51<00:00, 58.30s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [05:11<00:00, 62.36s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [05:21<00:00, 64.30s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [05:29<00:00, 65.94s/it]\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [06:18<00:00, 75.79s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [06:30<00:00, 78.07s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [06:33<00:00, 78.75s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [07:07<00:00, 85.59s/it]\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [07:18<00:00, 87.72s/it]\n",
+      "100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [08:34<00:00, 103.00s/it]\n",
+      "100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [21:18<00:00, 255.79s/it]\n",
+      "100%|████████████████████████████████████████████████████████████████████████████████████████████████████████| 21/21 [21:20<00:00, 60.95s/it]\n"
+     ]
+    }
+   ],
+   "source": [
+    "frac_list = [1000, 2500, 5000, 7500, 10000]\n",
+    "snp_info = pd.read_csv(data_path + 'misc_data/snp_qc_info.csv')\n",
+    "t_p = 5e-8\n",
+    "seed_res = {}\n",
+    "for seed in [1,2,3,4,5]:\n",
+    "    def get_res(query_disease):\n",
+    "        frac2res_all = {}    \n",
+    "        gold_label_gwas = pd.read_csv(data_path + f'full_gwas/{query_disease}_with_rel_fastgwa.fastGWA', sep = '\\t')\n",
+    "        gold_label_gwas = gold_label_gwas[~((gold_label_gwas.CHR == 6) & (gold_label_gwas.POS > 28477797) & (gold_label_gwas.POS < 33448354))]\n",
+    "\n",
+    "        for frac in tqdm(frac_list):\n",
+    "            base_gwas = pd.read_csv(data_path + f'model_pred/subsample_results/{query_disease}_gwas_{frac}.csv')[['ID', f'P_seed{seed}']].rename(columns = {'ID': 'SNP', f'P_seed{seed}': 'P'})\n",
+    "            kgwas = pd.read_csv(data_path + f'model_pred/subsample_results/{query_disease}_kgwas_{frac}.csv')[['ID', f'P_seed{seed}']].rename(columns = {'ID': 'SNP', f'P_seed{seed}': 'P'})\n",
+    "            findor = pd.read_csv(data_path + f'model_pred/subsample_results/{query_disease}_findor_{frac}.csv')[['SNP', f'P_seed{seed}']].rename(columns = {f'P_seed{seed}': 'P'})\n",
+    "            \n",
+    "            base_gwas = snp_info.merge(base_gwas)\n",
+    "            kgwas = snp_info.merge(kgwas)\n",
+    "            findor = snp_info.merge(findor)\n",
+    "            \n",
+    "            frac2res_frac = {}\n",
+    "            gold_snps = gold_label_gwas[gold_label_gwas.P < t_p].SNP.values\n",
+    "\n",
+    "            clumps = get_clumps_gold_label(data_path, gold_label_gwas, t_p = t_p, no_hla = True) \n",
+    "            idx2mega_clump, idx2mega_clump_rsid, idx2mega_clump_chrom = get_meta_clumps(clumps, data_path) ## filtering cM\n",
+    "            mega_clump_gold = [j for i,j in idx2mega_clump_rsid.items()]\n",
+    "            \n",
+    "            def get_scores(base_gwas, name):\n",
+    "                frac2res = {}\n",
+    "                base_gwas['logp'] = -np.log10(base_gwas['P'])\n",
+    "                snp2rank = dict(base_gwas[['SNP', 'logp']].values)\n",
+    "                snp_hits = base_gwas.sort_values('P').SNP.values\n",
+    "\n",
+    "                idx2mega_clump_pred, idx2mega_clump_rsid_pred, idx2mega_clump_chrom_pred = get_mega_clump_query(data_path, clumps, snp_hits, no_hla = True) \n",
+    "                idx2mega_clump_rank_pred = {i: max([snp2rank[x] for x in j  if x in snp2rank]) for i,j in idx2mega_clump_rsid_pred.items()}\n",
+    "                idx2mega_clump_rank_pred = dict(sorted(idx2mega_clump_rank_pred.items(), key=lambda item: item[1])[::-1]) ## rank based on logp\n",
+    "                mega_clump_pred = [idx2mega_clump_rsid_pred[i] for i in list(idx2mega_clump_rank_pred.keys())][:1000] ## top 1000 predicted clumps\n",
+    "                frac2res['recall_k_base_gwas'], frac2res['precision_k_base_gwas'], frac2res['k_to_clump_idx_base_gwas'] = get_curve(mega_clump_pred, mega_clump_gold)\n",
+    "                frac2res['mega_clump_pred_base_gwas'] = mega_clump_pred\n",
+    "                frac2res['mega_clump_gold'] = mega_clump_gold\n",
+    "\n",
+    "                rs_to_p = dict(base_gwas[['SNP', 'P']].values)\n",
+    "                mega_clump_sign = []\n",
+    "                for idx, mega_clump in enumerate(mega_clump_pred):\n",
+    "                    if min([rs_to_p[rs] for rs in mega_clump if rs in rs_to_p]) <= 5e-8:\n",
+    "                        ## is significant givent this threshold\n",
+    "                        mega_clump_sign.append(idx)\n",
+    "\n",
+    "                mega_clump_sign_rep = []\n",
+    "                for idx in mega_clump_sign:\n",
+    "                    if len(np.intersect1d(mega_clump_pred[idx], gold_snps)) > 0:\n",
+    "                        mega_clump_sign_rep.append(idx)\n",
+    "                frac2res['num_significant_' + str(5e-8) +'_' + name] = len(mega_clump_sign)\n",
+    "                frac2res['num_significant_replicated_' + str(5e-8) + '_' + name] = len(mega_clump_sign_rep)\n",
+    "                return frac2res\n",
+    "\n",
+    "            frac2res_frac['gwas'] = get_scores(base_gwas, 'gwas')\n",
+    "            frac2res_frac['kgwas'] = get_scores(kgwas, 'kgwas')\n",
+    "            frac2res_frac['findor'] = get_scores(findor, 'findor')\n",
+    "            frac2res_all[frac] = frac2res_frac\n",
+    "        return frac2res_all\n",
+    "    import multiprocessing\n",
+    "    pheno_list = data.get_pheno_list()['21_indep_traits']\n",
+    "    with multiprocessing.Pool(len(pheno_list)) as p:\n",
+    "        res = list(tqdm(p.imap(get_res, pheno_list), total=len(pheno_list)))\n",
+    "    frac2res_all = dict(zip(pheno_list, res))\n",
+    "    seed_res[seed] = frac2res_all"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pickle\n",
+    "with open('/dfs/project/datasets/20220524-ukbiobank/data/kgwas_data/kgwas_result/summary/subsample_result.pkl', 'wb') as f:\n",
+    "    pickle.dump(seed_res, f)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "method_list = ['gwas', 'findor', 'kgwas']\n",
+    "\n",
+    "df_res_across_frac = pd.DataFrame()\n",
+    "df_res_per_disease = pd.DataFrame()\n",
+    "\n",
+    "for frac in frac_list:\n",
+    "    df_res_all = pd.DataFrame()\n",
+    "    for seed in range(1,6):\n",
+    "        frac2res_all = seed_res[seed]\n",
+    "        res_threshold = []\n",
+    "\n",
+    "        for query_disease in frac2res_all.keys():\n",
+    "            threshold = 5e-8\n",
+    "            for m in method_list:\n",
+    "                num = frac2res_all[query_disease][frac][m]['num_significant_replicated_' + str(threshold) + '_' + m]\n",
+    "                res_threshold.append((query_disease, frac, num, threshold, m.upper(), query_disease))\n",
+    "\n",
+    "        df_res = pd.DataFrame(res_threshold).rename(columns = {0: 'Trait', 1: 'Frac', 2: '# of hits', 3: 'Threshold', 4: 'Method', 5: 'Trait'})\n",
+    "        df_res['seed'] = seed\n",
+    "        df_res_all = df_res_all.append(df_res)\n",
+    "        \n",
+    "    df_res_all.Threshold = df_res_all.Threshold.astype(str)\n",
+    "    df_res_per_disease = df_res_per_disease.append(df_res_all)\n",
+    "    df_res_temp = df_res_all[(df_res_all.Frac == frac) & (df_res_all.Threshold.isin(['5e-08']))]\n",
+    "    df_sum = pd.DataFrame(df_res_temp.groupby(['Method', 'Threshold', 'seed'])['# of hits'].agg(sum)).reset_index()\n",
+    "    \n",
+    "    df_sum['sample size'] = frac\n",
+    "    df_res_across_frac = df_res_across_frac.append(df_sum)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Method</th>\n",
+       "      <th>Threshold</th>\n",
+       "      <th>seed</th>\n",
+       "      <th># of hits</th>\n",
+       "      <th>sample size</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>FINDOR</td>\n",
+       "      <td>5e-08</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>FINDOR</td>\n",
+       "      <td>5e-08</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>FINDOR</td>\n",
+       "      <td>5e-08</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>FINDOR</td>\n",
+       "      <td>5e-08</td>\n",
+       "      <td>4</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>FINDOR</td>\n",
+       "      <td>5e-08</td>\n",
+       "      <td>5</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>KGWAS</td>\n",
+       "      <td>5e-08</td>\n",
+       "      <td>1</td>\n",
+       "      <td>73</td>\n",
+       "      <td>10000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>KGWAS</td>\n",
+       "      <td>5e-08</td>\n",
+       "      <td>2</td>\n",
+       "      <td>78</td>\n",
+       "      <td>10000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>KGWAS</td>\n",
+       "      <td>5e-08</td>\n",
+       "      <td>3</td>\n",
+       "      <td>70</td>\n",
+       "      <td>10000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>KGWAS</td>\n",
+       "      <td>5e-08</td>\n",
+       "      <td>4</td>\n",
+       "      <td>73</td>\n",
+       "      <td>10000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>KGWAS</td>\n",
+       "      <td>5e-08</td>\n",
+       "      <td>5</td>\n",
+       "      <td>84</td>\n",
+       "      <td>10000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>75 rows × 5 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    Method Threshold  seed  # of hits  sample size\n",
+       "0   FINDOR     5e-08     1          2         1000\n",
+       "1   FINDOR     5e-08     2          1         1000\n",
+       "2   FINDOR     5e-08     3          3         1000\n",
+       "3   FINDOR     5e-08     4          4         1000\n",
+       "4   FINDOR     5e-08     5          2         1000\n",
+       "..     ...       ...   ...        ...          ...\n",
+       "10   KGWAS     5e-08     1         73        10000\n",
+       "11   KGWAS     5e-08     2         78        10000\n",
+       "12   KGWAS     5e-08     3         70        10000\n",
+       "13   KGWAS     5e-08     4         73        10000\n",
+       "14   KGWAS     5e-08     5         84        10000\n",
+       "\n",
+       "[75 rows x 5 columns]"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_res_across_frac"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "id2name_longer = {\n",
+    "    'biochemistry_AlkalinePhosphatase': 'Alk_Phosphatase',\n",
+    "    'biochemistry_AspartateAminotransferase': 'Asp_Aminotrans',\n",
+    "    'biochemistry_Cholesterol': 'Cholesterol',\n",
+    "    'biochemistry_Creatinine': 'Creatinine',\n",
+    "    'biochemistry_IGF1': 'IGF-1',\n",
+    "    'biochemistry_Phosphate': 'Phosphate',\n",
+    "    'biochemistry_Testosterone_Male': 'Testosterone',\n",
+    "    'biochemistry_TotalBilirubin': 'Total_Bilirubin',\n",
+    "    'biochemistry_TotalProtein': 'Total_Protein',\n",
+    "    'biochemistry_VitaminD': 'Vitamin_D',\n",
+    "    'bmd_HEEL_TSCOREz': 'BMD_Heel_TScore',\n",
+    "    'body_BALDING1': 'Balding',\n",
+    "    'disease_ALLERGY_ECZEMA_DIAGNOSED': 'Allergy_Eczema',\n",
+    "    'disease_HYPOTHYROIDISM_SELF_REP': 'Hypothyroidism',\n",
+    "    'pigment_SUNBURN': 'Sunburn',\n",
+    "    '2714': 'Mineral_Needs',\n",
+    "    '21001': 'Body_Mass_Index',\n",
+    "    '50': 'Height',\n",
+    "    '30080': 'Platelet_Count',\n",
+    "    '30070': 'Red_Cell_Width',\n",
+    "    '30010': 'Red_Blood_Cell',\n",
+    "    '30000': 'White_Blood_Cell'\n",
+    "}\n",
+    "\n",
+    "\n",
+    "id2name = {\n",
+    "   'biochemistry_AlkalinePhosphatase': 'ALP',\n",
+    "   'biochemistry_AspartateAminotransferase': 'ALT',\n",
+    "   'biochemistry_Cholesterol': 'TC', \n",
+    "   'biochemistry_Creatinine': 'CR',\n",
+    "   'biochemistry_IGF1': 'IGF1', \n",
+    "   'biochemistry_Phosphate': 'PHO',\n",
+    "   'biochemistry_Testosterone_Male': 'TST', \n",
+    "   'biochemistry_TotalBilirubin': 'TBIL',\n",
+    "   'biochemistry_TotalProtein': 'TP',\n",
+    "   'biochemistry_VitaminD': 'VD',\n",
+    "   'bmd_HEEL_TSCOREz': 'BMD-HT',\n",
+    "    'body_BALDING1': 'BALD',\n",
+    "    'disease_ALLERGY_ECZEMA_DIAGNOSED': 'Eczema',\n",
+    "    'disease_HYPOTHYROIDISM_SELF_REP': 'HT', \n",
+    "    'pigment_SUNBURN': 'SUN', \n",
+    "    '2714':'MNR', \n",
+    "    '21001': 'BMI', \n",
+    "    '50': 'Height', \n",
+    "    '30080':'PLT', \n",
+    "    '30070': 'RDW', \n",
+    "    '30010': 'RBC', \n",
+    "    '30000': 'WBC'\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x700 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import seaborn as sns\n",
+    "from matplotlib import font_manager\n",
+    "import matplotlib.pyplot as plt\n",
+    "from tqdm import tqdm\n",
+    "\n",
+    "font_dirs = [\"/dfs/project/datasets/20220524-ukbiobank/data/kgwas_data/misc_data/\"]\n",
+    "font_files = font_manager.findSystemFonts(fontpaths=font_dirs)\n",
+    "\n",
+    "for font_file in font_files:\n",
+    "    font_manager.fontManager.addfont(font_file)\n",
+    "    \n",
+    "sns.set(rc={'figure.figsize':(8,7)})\n",
+    "sns.set_theme(style=\"ticks\", rc={\"axes.facecolor\": (0, 0, 0, 0)}, font = \"Roboto\", font_scale=2)\n",
+    "plt.rc('axes', unicode_minus=False)\n",
+    "\n",
+    "df_res_across_frac = df_res_across_frac.sort_values('# of hits')\n",
+    "ax = sns.barplot(data = df_res_across_frac[df_res_across_frac['sample size'].isin([1000, 5000, 10000])], x = 'sample size', y = '# of hits', \n",
+    "                 hue = 'Method', hue_order = ['GWAS', 'FINDOR', 'KGWAS'], alpha = 0.7)\n",
+    "ax.set(ylabel = 'Number of Indep. Loci at 5e-8 \\n Replicated in Large Cohort', xlabel = 'Sample Size')\n",
+    "legend = plt.legend(frameon=False, loc = 'upper left')\n",
+    "frame = legend.get_frame()\n",
+    "frame.set_facecolor('white')\n",
+    "sns.despine()\n",
+    "plt.savefig(\"kgwas_sampling_main.pdf\", format='pdf', dpi=300, bbox_inches='tight')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x700 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.set(rc={'figure.figsize':(8,7)})\n",
+    "sns.set_theme(style=\"ticks\", rc={\"axes.facecolor\": (0, 0, 0, 0)}, font = \"Roboto\", font_scale=2)\n",
+    "plt.rc('axes', unicode_minus=False)\n",
+    "\n",
+    "df_res_across_frac = df_res_across_frac.sort_values('# of hits')\n",
+    "ax = sns.barplot(data = df_res_across_frac[df_res_across_frac['sample size'].isin([1000, 2500, 5000, 7500, 10000])], x = 'sample size', y = '# of hits', \n",
+    "                 hue = 'Method', hue_order = ['GWAS', 'FINDOR', 'KGWAS'], alpha = 0.7)\n",
+    "ax.set(ylabel = 'Number of Indep. Loci at 5e-8 \\n Replicated in Large Cohort', xlabel = 'Sample Size')\n",
+    "legend = plt.legend(frameon=False, loc = 'upper left')\n",
+    "frame = legend.get_frame()\n",
+    "frame.set_facecolor('white')\n",
+    "sns.despine()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Method GWAS on size 1000 with relative improvement 1.0\n",
+      "Method FINDOR on size 1000 with relative improvement 0.6666666666666667\n",
+      "Method GWAS on size 2500 with relative improvement 0.5714285714285716\n",
+      "Method FINDOR on size 2500 with relative improvement 0.517241379310345\n",
+      "Method GWAS on size 5000 with relative improvement 0.38297872340425526\n",
+      "Method FINDOR on size 5000 with relative improvement 0.39784946236559127\n",
+      "Method GWAS on size 7500 with relative improvement 0.38461538461538464\n",
+      "Method FINDOR on size 7500 with relative improvement 0.31937172774869094\n",
+      "Method GWAS on size 10000 with relative improvement 0.3548387096774193\n",
+      "Method FINDOR on size 10000 with relative improvement 0.2813559322033897\n"
+     ]
+    }
+   ],
+   "source": [
+    "df_res_sum = df_res_across_frac.groupby(['sample size', 'Method'])['# of hits'].mean().reset_index()\n",
+    "for size in [1000, 2500, 5000, 7500, 10000]:\n",
+    "    for method in ['GWAS', 'FINDOR']:\n",
+    "        kgwas = df_res_sum[(df_res_sum.Method == 'KGWAS') & (df_res_sum['sample size'] == size)]['# of hits'].values[0]\n",
+    "        m = df_res_sum[(df_res_sum.Method == method) & (df_res_sum['sample size'] == size)]['# of hits'].values[0]\n",
+    "        print(f\"Method {method} on size {size} with relative improvement {(kgwas - m)/m}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df = pd.DataFrame(df_res_across_frac.groupby(['Method', 'sample size'])['# of hits'].mean()).reset_index()\n",
+    "\n",
+    "current_palette = sns.color_palette()\n",
+    "first_color = current_palette[0]\n",
+    "second_color = current_palette[1]\n",
+    "third_color = current_palette[2]\n",
+    "\n",
+    "from scipy import interpolate\n",
+    "sns.set(rc={'figure.figsize':(8,6)})\n",
+    "sns.set_theme(style=\"ticks\", rc={\"axes.facecolor\": (0, 0, 0, 0)}, font = \"Roboto\", font_scale=2)\n",
+    "plt.rc('axes', unicode_minus=False)\n",
+    "\n",
+    "# Extracting the data for KGWAS and GWAS\n",
+    "kgwas_data = df[df['Method'] == 'KGWAS']\n",
+    "gwas_data = df[df['Method'] == 'GWAS']\n",
+    "x_kgwas = kgwas_data['sample size']\n",
+    "y_kgwas = kgwas_data['# of hits']\n",
+    "x_gwas = gwas_data['sample size']\n",
+    "y_gwas = gwas_data['# of hits']\n",
+    "\n",
+    "# Using linear interpolation for GWAS to estimate sample sizes based on KGWAS hits\n",
+    "gwas_linear_interp = interpolate.interp1d(y_gwas, x_gwas, fill_value=\"extrapolate\")\n",
+    "\n",
+    "# Estimating the GWAS sample sizes for KGWAS real number of hits using linear interpolation\n",
+    "gwas_sample_size_for_kgwas_hits_linear = gwas_linear_interp(y_kgwas)\n",
+    "\n",
+    "# Using linear interpolation for KGWAS to estimate sample sizes based on GWAS hits\n",
+    "kgwas_linear_interp = interpolate.interp1d(y_kgwas, x_kgwas, fill_value=\"extrapolate\")\n",
+    "\n",
+    "# Estimating the KGWAS sample sizes for GWAS real number of hits using linear interpolation\n",
+    "kgwas_sample_size_for_gwas_hits_linear = kgwas_linear_interp(y_gwas)\n",
+    "\n",
+    "sns.lineplot(x=x_gwas, y=y_gwas, marker='o', label='GWAS (Real)', color=first_color)\n",
+    "\n",
+    "# Plot estimated KGWAS sample sizes for matching GWAS hits using seaborn\n",
+    "sns.lineplot(x=kgwas_sample_size_for_gwas_hits_linear, y=y_gwas, marker='o', label='KGWAS (Interpolated)', color=third_color)\n",
+    "\n",
+    "plt.title('GWAS vs KGWAS: Required \\n Sample Size to Match GWAS Hits')\n",
+    "plt.xlabel('Sample Size')\n",
+    "plt.ylabel('Number of Independent Loci at 5e-8')\n",
+    "plt.legend(title='')\n",
+    "plt.xticks([1000, 2500, 5000, 7500, 10000])\n",
+    "\n",
+    "legend = plt.legend(frameon=False, loc = 'upper left')\n",
+    "frame = legend.get_frame()\n",
+    "frame.set_facecolor('white')\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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rKxPbR1FRESZNmiQiwO3s7DBr1izMmjUL3bp1g7KyMi5fvizidvaj4O3tjby8PNStWxejRo3CvHnzxIJ3ORwOXF1dyX9OS0sLQ4YMwbx58zB16lQy41BUVIS5c+ciLCxM4rGOHj0KDw8PIsCbNm2KiRMnYu7cuRg+fDj09PQQFRWFS5cufcNvTPlVoJZwCkUOmZmZ5L3Ap7a6aNu2LTQ0NFBaWoq4uDixjCdRUVFEOHTv3h0A/+GopqYGJpOJgIAAjBo1SmSfFU0FJyywBVZHgP/Ad3BwgL+/P96/f49Xr17JTKM4evRonD9/Hp8/fwaLxcKCBQvg7e2NadOmKZySTlEGDRqEXbt2gcfj4f79+1i5cqXEdHrCAr28hfbBgwdEUNStWxcXLlwQyw9948YNrFixAhwOBz4+Phg3bpyIC1FluXLlCg4fPkyWly5dCmdnZ4W2/ZbXI8AfuAmEdnh4uFhebsHMjKqqKhwcHADwrdTR0dFIT09HXFycSFaVz58/kwBLQX58Wbx+/Rrv3r0DwE/jJ2zRHjp0KE6fPg2Af93KOmdqamr4+++/SdGj0NBQODs7Y/r06XBxcVHIL12YQYMGwcfHB2/fvsWQIUPQunXrCm1fGT5//iziWtaxY0eR9Ww2G8uWLSM54t3d3TFz5kyRPPAFBQWYN28egoKCEBcXh+PHj4vEqwD8AaFAxGtpaeHAgQMig32An7N97ty5JHbhR0PebNWpU6fIdW1paYnDhw+LzfKcPXsWGzduBIfDwYoVK+Dr6ytyLt+/fy9S/VIQ8CxwOwT4bktLly6VO0ikUABqCadQ5CLsW1rdKctUVVWJsOVyuWJp34RdUQQiXFNTk1hMg4ODxSxywlZHeVP/mZmZ5BhNmjQRyycu7B4jqL4pDU1NTfz7779o2rQp+czPzw9jx45F7969sXXrVgQHB5OsGlWhXr165LulpaVJ9V8WPAiVlJTEBJtwkNuYMWMkFmgZNmwYqQoJ8PNUV5XHjx9j7dq1ZLlHjx4Kp9wDvu31CMienSktLSUWQktLSzJglDU7U1FXFOFBYfmBU9u2bYm7TkBAgFicRXlGjRqFuXPnkgFaZmYmtm3bBgcHB8ycORMXLlzA169f5fYJ4PvrX7hwAZGRkd8lVWBhYSGWLFlC/t+WlpZiKSMvXbpEAqoHDRoEV1dXsUJMurq62LdvH/mtLly4IPIflBR4Xl6AA4CpqSmOHTsGdXX16vmC1Ujr1q2xadMmqQI8OzubiGcDAwPs379fYq758ePHk3ve58+fSYViAZ6ensRNqlevXli0aJGIAAf48Qd79+6VGwhMoQBUhFMochGevpWWMq4qyEpVKLDc6OrqilhgBQ/JvLw8kUwRWVlZxFJVv359NGzYUOaxb968SR7IkvzRe/XqBV1dXQD83N7y0gg2adIEXl5emDhxooh7SVJSEjw9PTFp0iQ4Ojpi06ZN+PTpk8x9yUO4v5JcUt69e0ese3Z2djKDHWUVpRk/fjxWr16N1atXixVXqSgxMTFYsGCByMApICAAb968UXgfTCaTvK+IC4+idOjQgYiZ169fixwvNDSU/B8Eg0KAb6EVFJIp719fkZkZJpMJHx8fAHyLbN++fcXaCGZruFwuqfApi3nz5uHkyZMiApbJZOLJkydYt24dnJycMG7cONy6dataBohVgc1mIzU1FVeuXMHw4cPJudPT05Mo/G/evEne//3331L3a2BgQH6vzMxMki4S4NcgEPiaN2vWTOJ9QEDz5s2Je8uPRK9evcTEsDC+vr7k3jVhwgSZszHC3194QMnlckUy5ri6ukrdh5qaWoViNSi/L1SEUyjVwM2bN0mkvrSXtPRi0jJS5ObmEoHdtWtXkQGAwA0AEBU9FXVFEc6yIenhq66ujn79+gHgT2s/ePBA7j51dHSwcuVK+Pn5Yc6cOWIDgezsbJw5cwYDBgzA5s2bRUReRejXrx8Ri5LS7Ql/Vj4gExCd2vf09ERwcLDE4wgKCY0fPx6dOnWqVF8FPH78mOTnFogGJpOJBQsWoLCwUKF9CAeDyaJPnz4yr8cJEyZI3E5dXZ34wzOZTBEfdOGZGScnJ/JeWVmZFOp58eKFyG9akRiFR48eEdeK3r17i/llA3zruGDQpGj6zC5duuDmzZs4cuQInJycRAYvPB4PL168wOLFizFw4ECZWWGqk0OHDon9Jm3btoWTkxNWrVpFBtMGBgY4ceKEWLaP9PR0MnPWokULuQNu4ZkegfUcgMggXlYw4s+MsGuIJCu/MNLOU2JiIpmFql27NskeRaFUBSrCKRQ5CItfSUFNVcXCwoIc49WrVyQALDAwkLwXtjoCfGEosOYIW2sqMvUfFRWF+Ph4APypbmE3EmGE/cSFRbs8jI2N4ebmhkePHuH69euYM2cOWrVqRdZzOBz8999/GD16tMICVBg9PT1yXr58+SLmyiMQ4WpqamQgIYyzszPs7OwA8GcUJk2ahIEDB2Lnzp148uSJ1EwU1YGNjQ0uXrxIMl98+vQJK1euVGjbb309CvonQPiaEgz4GjZsKPJbAv8XN6WlpcTXvqioiFxjdevWFQmMlYS0+ARhGjRoQK7tjx8/yi10JUBJSQk9e/bE0aNHERQUhN27d6N///7Q0NAgbT5+/Ijx48dX6Dr/lkyaNAn379+XGIshXFfgw4cPco0AHh4epL1goAOIBn5Kq5D6syN8rkaOHCnzPAnfK4TPk/A+yl/7FEploYGZFIoctLW1SXCksD+uMObm5li4cKHY58ePH5e6jQAtLS2Ym5sjKioKhYWFiIuLg5mZGbE6MhgMiVObDg4OuHbtGtlOR0enQlZHWb63wtja2qJhw4ZISUlBUFAQUlNTSQERRTE3N4e5uTnc3Nzw6tUrHDlyhKRmfP36NZYsWYJ//vmnQvsU9Ftgnb937x4RKx8/fiSZHrp160ZcJYRRUVHB0aNHsWfPHuInm5CQgISEBJw4cQKqqqqws7PDn3/+ib59+1abK5KFhQWOHj0KHR0drFu3DkuXLiX9F+RoloWwH7isa2vatGli62NiYmRmkxFQvmjPtGnTkJKSQnJnS7seBTx//hxdunQhKS7L71MS6enpROTXrVuXWNYlMXToUJIu0MvLq8LBsrq6uhg0aBAGDRqEwsJCXL16FUePHkV2djbYbDZWr16Nli1bflNrp729vUT3prNnzxJfd3Nzc6kBpIrk7pdGUVEReS88AP4RXU2qg8qeK+HzJFyt9Fc9T5TvDxXhFIocGjVqRET4+/fvxYIXAX5gkKRsCRcvXpQrwgG+YBZkQYiIiBAR4W3btpWY29fR0RHXrl0Dm81GcHAwunfvTlwHDA0NZeabZjKZuHPnDlnesGEDNmzYILefXC6XWLUri4WFBTw8PHDhwgWsW7cOAD+AMzY2tsIpIJ2cnKCjo4PCwkLcv3+fCFp5rigCtLS0sGrVKsycORM3b97E06dP8fLlSzCZTLBYLAQEBCAgIAAmJibYtWuXzAIgimBmZoYTJ06QILlhw4YhLCyMpE3btm0bOnbsSFL+SUI4L/z79++ltpNURdPLy0shEW5lZUVyfwsGdtJcUQTUr18frVq1QkJCApmdqcig8ObNm0SwZ2RkKBzYdvfuXaxcuVIkn3ZF0NHRweTJkzFkyBCSpo/FYsHDw6NSA0NFsba2xsyZM8U+r1WrFpkVOXDgAJydnSUGHArHZ5iamsq8zssjPGgRjoeQ5Vf9MyN8rtzc3BQeUAsPeH+H80T5/lARTqHIoV27diRXeGRkpEi2jOrC2toaJ0+eBMB3E7GysiLWm/KuKAK6du0KZWVlcDgcBAQEoH79+sQ9wdraWmaw4cOHD+XmTJaGJBFeWlpK/IDV1dUVyqAwZswY3L59m2TbePr0aYVFuLq6Ovr27QsvLy8kJycjJiYG7dq1I9ZxbW1thfxcjYyMMGPGDMyYMQNlZWV49eoV/P394eXlhdzcXMTFxWHy5Mm4ceOG3BR7sujdu7eYVX716tWIiopCXFwc8Q+/fv261CqPwgJdUEilojMT8tDV1YWpqSliY2ORlZWF5ORkYqVWV1dH586dJW7n6OiIhIQEvHv3DpmZmSLp9eS5Rynq312ewsJC+Pr6YtiwYeQzHo8nYrmUNBNSHoH4FRQzevbsGXg8nsz/0bdg+PDh8PT0RHx8PFJSUnDmzBlMmzZNrJ3wdzIyMpIo6BVBEHgNyJ5Z+ZnR09MjriUjR46UWrBIFr/DeaJ8f6hPOIUiB+Gpd+Eo++pEWDQnJiaKlBSXJsL19PTIdPmLFy+QkJBA1smzOgqnG+zduzdGjRol9yUI/Pr8+bNYIYvt27fD1tYWtra22Lt3r8LfWzg4UlBUp6KUz5Ly9etXEmzWp0+fCqdUU1dXh52dHZYuXQpfX1/iJ5udnY2zZ89Wqo+y0NDQwP79+0kQ4ufPn7FixQqp7Y2NjUUGK8IZMqoT4Wvow4cP5De3s7MT8aMWRuCSwuPxEB4eTiz1urq6Mv2NX758SVxd6tWrp9D1KOy7W17A5+TkkOvR1tZW4ZgD4VkuJpNZI9UhlZWV4e7uTpalVYIUzhEvnO2koggHIgr89yuLcHrE8sWNahLhQapwsGVFEI6ZEb7XUihVgVrCKRQ5ODk5wdjYGGlpaSgoKMCJEyfEil1UFUNDQ7Rq1Qrx8fH49OkTwsPDAfCtc8KVG8vj4OCAyMhIJCQkiGQ5kOV/m5aWhsDAQAB8S/GePXsUEqqnTp3Ctm3bAPBFj7BlUzhQSdB3RRC2VkrKhKEInTp1gpGREdLT0+Hr64u6deuSDCLSpuiTkpKwdetWAPyHq8CNpTwGBgaYNm0aWV8VsSOLFi1aYNOmTSTNnK+vL86cOSM1g8nIkSNJyjpPT0+MGjUKhoaG1donGxsbnDlzBoBo1hJJrigCbG1tSfGp0NBQEvQncG+RhrCIHjNmjMz0bwJYLBZCQkKQm5uL0NBQJCcnE1edWrVqoVatWkREh4eHSx3MCiN8PQKVvyarSq9evWBtbY3w8HDk5eXBw8ND7Bo1MTGBgYEBcnNzkZGRgeDgYKkzFLIQDvr08/MTGQBUFGH3jaysLLDZ7G+S1rWi2NraEvHt4+MjN0OKJJo1awZDQ0Pk5OTg69evePv2LczMzKq7q5TfDGoJp1DkoKKigvnz55NlQXYFefB4vArlHRYI55ycHCKSHR0dZYoXwcOEy+WK5FeW5VN848YNYqWqiKXY2dmZ9OXevXsi2UP69OlD0r5FRUWJ+JtLo6ioCH5+fmRZ1mBDFkpKSqSc+adPn4hbT+3ataXm9dbX18ejR4/g5+eHCxcuiIkvYYTPz7f0BR04cKCIH/f27dtFBlbC/Pnnn8Qyl5OTg6VLl5IiIrKoyPUobAm/ffs2eS9LzKqrq5PB2e3bt4mPt6yZmdLSUpHrRfBbykNVVZVYw3k8nljOcOH97N+/X6EZrFu3bpH3rVq1qrSfeXWwaNEi8v7s2bP48uWLyHolJSWRgOpt27bJTPeZm5uLmTNnillxHRwciKtFfHy8zP9uQkICcnJypK7X19cnQYtcLlfq9QvwS81/L4YPHy5yXHmGgt27d+PcuXNinwtfU7LiBZhMJq2YSVEIKsIpFAX4448/0KNHDwD8G+zs2bNx7tw5qVOuX758gZubG8lywGAwpPr4ChAWKgKfQ3nWu/bt25OHnuDhaGlpKVMsClsdFRU8AN8NQpDSr7i4WKRwhZGRkYif+JIlS3Dq1CmpouDr169wdXUlfu8NGzasUo5iYTEicGsZMGCA1POgp6dHCsGUlJRg0aJFEl0P0tPTRR628tx8qsrKlStJQCKLxcKCBQskDhDU1NSwfft2MvB58uQJpk6dKrUAEofDwe3bt7Fz507ymbzrsU6dOiSloOB6bN68ucTKosIIBobCYk3WeXvw4AH5jhYWFnL3L4ywK9L169dFcqjPnj0bdevWBcDPwDNp0iSp7hY8Hg9Xr17Fnj17yGfjx48XaVNQUIBx48bB0tJSoSDmqmJlZYVevXoB4N9zJLl5zZgxg/iGx8bGYtasWRIzgSQkJGD8+PF48uQJRo8ejaysLLJOQ0NDJCPPypUriRFAmLdv32LmzJly8/oL59Lfs2ePWKpPDoeDQ4cOkWDk74G5uTn69+9Pjj979myxyq4Af0C4fv16HDt2DBs2bMDFixdF1k+aNIkMyn19fbF3716xZ0BhYSHmz59PXVYoClHz80QUyk8Ag8HA7t27MWfOHAQHB6OkpAQbNmzAkSNH4OjoSHwOc3NzERsbi1evXolURVy9erVM6zQgLlSUlZVF0r5JQklJCV27dhWxVMpyRYmIiCBVJGvVqlXhCpCDBg0iRW28vLzg4uJC1s2ZMwdZWVk4e/YsWCwWtm3bBg8PD9jb26Np06bQ0NBAfn4+4uLiEBISQiy3Wlpa2LVrV5XKYbdt2xYtWrQgfsWCvspiyZIliIiIQEZGBh4/foyePXvCyckJTZo0AY/Hw8ePH/H48WMiOho2bCgx40h1oqamhv3798PFxQUFBQVITk7GihUrSMltYSwtLbFv3z64u7uDyWQiNDQUAwYMgI2NDczNzaGnp4fi4mIkJSUhIiIC6enpZNvWrVtj8+bNcvtjbW1NrhdAtiuKgPJT/RoaGmjXrp3U9sI5uSuS4UPQvwYNGuDLly9ITk5GSEgIccmoXbs2Tp8+jfHjxyM7OxsvX77EoEGD0KFDB1hYWMDQ0BBcLhepqakIDg4WyZfdr18/sd/a29ub5D8XpJKUlYGoOli4cCEeP34MDocDb29vTJ06VSQewNjYGLt27cJff/0FFouFwMBA9O3bFz169EDz5s1RUlKCt2/fIigoiIjF8ePHi5Vsnz17Nvz8/BAfH4/i4mJMnToVnTt3hoWFBXg8Ht68eYPAwECRe5o0BLnNeTweQkNDMXToUDg6OsLAwABpaWl48uRJldIrVpZNmzaRFKR5eXmYOnUqLC0tYWNjAzU1NaSkpMDf35/437dq1UrsemzSpAn+/vtv4srm4eEBX19fdO/eHTo6OkhJScHDhw9RUFAABoOhcGEtyu8LFeEUioJoa2vj33//xT///IN///0XpaWlyMjIkJnVwcTEBEuWLFHIB1FQZl4gBjp27Cg1R7AwDg4OIiJcVhYK4b7279+/wv6a/fr1w4YNG8BkMvHixQt8/vwZTZo0IetXr14NS0tL7Ny5E1+/fkVubi7u3r0rdX/m5ubYsmVLhbOiSGLw4MHYv38/AH4aP0mpJIVp1KgRPD09sWjRIsTGxqKkpERqX01NTXH48GG51uPqoEmTJti8eTNxgbp//z5Onz5NsnYI07t3b1y+fBkrV67E69evweFwEBISIrU6q6qqKsaOHYu//vpLoWvLxsZGJIhXEb9qQfVGwXXcoUMHiSn2AP6shcC1S0lJCQMGDJC7f2EYDAYGDhyI48ePA+Bf38J+0S1btsSNGzewc+dO4v4QFRUlkrVFGFVVVcyYMQNz584Vy4pS3uL5PQIPW7ZsieHDh+Pq1avg8XjYuXMncbcS0L17d5w8eRKLFi1CWloaiouLRe4HAlRVVeHu7o6pU6eKrdPQ0MDJkycxY8YMvH37FjweD0FBQWJud5MmTcKdO3dkimhra2ssXrwYO3bsAMAPNC7v2qGqqopp06aJFBD61ujq6uLChQtYsmQJqVEQGRkpsUKqo6Mjtm3bJvH/PnnyZBQWFuLw4cPgcrlITExEYmKiSBsTExMMGDCA3I8oFGlQEU6hVACBf/iYMWNw8+ZNPH/+HPHx8cjLy4OqqioMDQ1hZGQEKysrdO3aFfb29jJ9ustjbW1NxIsiggcQLZKiqqoqsboeADGRWRFXFAF6enpwcnIili4vLy8sWLBApM2gQYPQu3dvPHv2DI8ePUJMTAwyMjJQUFAALS0t1KtXD+3bt0e/fv3k+rxXBGERrqhFtVWrVrh27Rru3bsHX19fvH79GllZWeBwOKhduzbatm2L/v37w9nZ+bvmBu7Xrx8mTJhAAiN37twJS0tLicVj2rRpAy8vLzx79gx3797Fq1ev8OXLFzCZTOjp6ZGgX3t7e/To0QP16tVTuB/CszPa2tpyC+4IcHBwwKVLl8T2UZ7r168TMdupUyfiPlIRBg8eTET4/fv3sWbNGhHxJLAWz5kzBw8fPsSzZ8+QkpJCXDL09PRgYmKCTp06YejQoVJTUA4ePBi3b9/G27dvMWTIEIl1Ab4F8+fPh4+PD0pLSxEQEIDnz5+LzZDZ2dnhwYMHuHr1Kh49eoR3794hNzcXurq6qF+/Prp16wYXFxeRAXN5jIyMcO3aNVy6dAm3b9/G+/fvUVRUhDp16sDa2hrjxo2DlZWViBuaNKZNmwYLCwv8999/iIiIQG5uLtTV1dGwYUPY29tjwoQJ4HA431WEA/zf2sPDAyEhIbhx4wbCw8PJgMLIyAjt2rXDkCFD0K1bN5mpKefOnYtu3brh9OnTCAsLQ3Z2NrS1tYn4HjFiBJ4+ffq9vhblJ4bBo/MlFAqFQqFQFKBbt24k1sXPz0+keBSFQqkYNDCTQqFQKBQKhUL5zlARTqFQKBQKhUKhfGeoCKdQKBQKhUKhUL4zVIRTKBQKhUKhUCjfGSrCKRQKhUKhUCiU7wwV4RQKhUKhUCgUyneGpiikUCgUCoVCoVC+M9QSTqFQKBQKhUKhfGeoCKdQKBQKhUKhUL4zVIRTKBQKhUKhUCjfGSrCKRQKhUKhUCiU7wwV4RTKT05ISAhMTU1hamqKMWPG1HR3KJRfkmXLlpH/2ZUrV2q6OxQK5RdA5VsfgMfjITg4GO/evQObzYaRkRE6deoEY2Pjb31oyg8Mh8PBo0ePcO/ePcTExCAjIwMsFgt169ZFw4YN0aNHDwwcOJBeJz8pZWVluHv3Lh49eoSYmBjk5OSAy+Wibt26aNq0KXr37o3+/fvD0NBQ6j4uX76MnTt3Ql1dHZs2bYKTk9P3+wK/CRMmTEBoaChZnjZtGpYsWVKpfV28eBFr164lyw0bNsSjR4+q3MffkYMHD+LQoUMAgOHDh2Pbtm1yt3ny5AnmzJkDNpsNAJg9ezYWLFggtX1paSnu3LmDx48f4+3bt8jKykJZWRn09fXRokUL2Nra4o8//kDDhg2l7uPAgQM4fPgwAOCPP/7Ali1bZPYxOzsbXbp0AY/HQ8uWLXHnzh2Z7VksFqytrVFWVgYA8PX1RbNmzWRuAwDz58+Hr68vAGD58uWYPHmy3G0kkZKSgmvXriE0NBQfPnxAfn4+tLW1YWRkhHbt2sHZ2RldunSBsrJypfYPVO63FuDl5YXly5cDAOzs7HDmzBmR9UwmE/PmzUNwcDDMzc1x9OhR6OnpVbqvlOqnUiL80aNH8PHxQUJCArhcLpo1a4YRI0age/fuIu0CAgKwZs0afPnyRWwf/fr1w8qVK1G3bt3K9Zzy0xITE4Nly5YhPj5ebF1KSgpSUlIQGhqKPXv2wNXVFbNmzYKqqmoN9JRSGQICArBy5UqkpqaKrUtKSkJSUhKeP3+OnTt3YtGiRRgzZgwYDIZY2zNnziA/Px8AX+D9zCI8KSkJN27cAMAXpy4uLjXbISncuHED7u7ulfq/Xb58+Rv0SDanTp1CYWEhAGDSpEm/rcCIjo7GggULiAAfPny4TAF+//59bNmyReJ/NDMzE5mZmQgNDYWHhwcmTZoEd3d3qKmpibW1sbEh7yMjI+X289mzZxBkRX7//j2+fv2KevXqSW3/5s0bIsDr1q2rkADPyckRGfxdv369wiKcxWLh4MGDOHHiBDgcjsi63Nxc5ObmIi4uDl5eXmjbti22bNkCMzOzCh3jexAXF4fHjx8DACIiIhAcHIy+ffuKtOFyuWQgBQDz5s37nl387amQCC8rK8PChQvh5+cn8vn79+/h5+eHwYMHY9u2bVBSUoKPjw+WLVsGDocDSanIfX19ER0djTNnzqBBgwZV+xaUn4awsDDMmDEDJSUlAABtbW04ODigefPmUFNTQ05ODsLDw/HmzRtyI4yOjsY///xTJWsD5ftw584dLFq0iDy4DA0N4eDggMaNG0NZWRkZGRkICQlBYmIiioqKsH79erx9+xYbNmwQ29eYMWOwZ88eqKurY8SIEd/7q1QrSUlJxNplZ2f3w4rwrKwsPHr0CP369avQdm/evMHr16+/Ua+kc+rUKaSlpQHgC8/fUYR//vwZs2bNQnFxMQCga9eu2Lhxo9T2np6e2LZtG3ku6+jowMHBAU2aNIG6ujrS0tIQFBSEpKQkcDgcnDx5EnFxcThy5IiYEO/YsSNUVFTAZrORmJiI3NxcGBgYSD328+fPxZb//PNPqe2Fhb21tbXUdsJ4e3uDxWKR5bdv3+LNmzcwNzdXaHsOhwM3NzcRndOmTRtYW1ujVq1aYDKZ+PjxI54/f47CwkK8fv0af/75J06ePAk7OzuFjvG9MDExgaOjI0JDQ9GmTRuJ/eNyueTeBFAR/r2pkAhftWoVHj58CAaDIVFYe3t7w9DQEOPGjcPy5cvJqNzS0hLt2rWDiooKPnz4gICAALDZbKSkpODvv//GxYsXq+fbUH5oCgsL8ffffxMBPmjQIKxbtw66urpibYOCgrBw4UJkZWXh8ePH2LVrF5YuXfq9u0ypACkpKVi5ciUR4FOmTMHff/8t0YJ2584drFy5EsXFxbh06RJMTEwwfvx4kTZjx47F2LFjv0vfKf/n8uXLFRbhNWEFp/DdO6ZPn46srCwAfLF44MABqTMZT548wdatW8nyhAkT4O7uDm1tbZF2PB4PN27cwNq1a1FWVobnz59j3759Yq5KWlpaaNOmDaKjo8Hj8RAZGYkePXpIPDaPx0NAQIDIZwEBAQqLcGGruyyuX78OACI6xcvLS2ER7unpSQS4vr4+9uzZAwcHB7F2hYWF2Lx5M7y8vMBisTB37lzcvHkT9evXV+g43wM1NTWcOHGiprtBkYHCgZnh4eHw9vYGg8EAg8HA5MmTcenSJdy9exf79++Hubk5eDwezp07hwULFoDFYqFOnTo4e/YsLly4gJUrV2Lp0qU4evQobt++jVatWgEAXr16Rf0GfxNu3ryJ9PR0AIC5uTl27twpUYADgL29PQ4fPkzcFP777z98/fr1u/WVUnHOnTtHrHE9e/bEsmXLJApwAHB2dsbmzZvJ8oEDB1BaWvpd+kmRjOC3CgwMREpKisLblZSUwMfHBwCgoaHxTfpGEaekpASurq749OkTAKBBgwY4duwYdHR0JLYvLS3FqlWryPLMmTOxatUqMQEO8AVsef9kT09PifdgRV1SXr9+TQYLgkFCUFAQuFyu1G1evnxJ3tva2kptJ0Bg9QaAvn37En92b29vMJlMudtzuVycOnWKLG/evFmiAAf4MwhbtmxBt27dAAB5eXk4cuSI3GNQKMIoLMKvXr1K3m/duhXLli2DhYUFmjdvjn79+uHChQto164d2Gw23rx5AyUlJfzzzz8SR69NmzbFkSNHyB/x9u3b1fBVKD86L168IO+dnZ2hpCT78rO0tCTTZ2w2Gw8ePPim/aNUDeHfd/DgwXLbOzs7o3HjxgD4D7DAwMBv1jeKfPr06QOAL0SE7/fyuHv3LgoKCgAA/fv3/yZ9o4jC4XDg7u6OV69eAQD09PRw/PhxGBkZSd3m9u3bxAjSrFkzzJ8/X+5xnJ2dYWlpSY7p5eUl1kb4GR8RESF1X8KuKD179gTA99+W5saUmppKRL+uri5MTEzk9vfatWvk/fDhw8l9KDc3VyFjX2JiIjIyMgDwrfy9evWS2Z7BYGDmzJlkWRAMSqEoisLuKBEREWAwGLCwsMDQoUPF1qurq8PNzQ0zZswAg8GAvb09OnToIHV/jRs3Rvfu3fHw4UNyI6H82giC7ABItdaUp23btggJCQEAfPjwQWq7yMhIeHt7IyQkBGlpaSgtLYWhoSHatm2LQYMGyRT9y5YtI1OYp06dgq2tLa5duwZfX1+8e/cO+fn5MDAwgKmpKf744w84OzuLfKerV6/i3r17SEpKQkFBAQwMDNC+fXuMGjVKajBhSEgIJk6cCACYPn06Fi9ejODgYFy5cgURERHIzMyElpYWWrRogUGDBmHkyJHVEpzK4XBw+/Zt3Lx5EzExMSgqKoK+vj5MTEzQp08f/Pnnn1Kt1/LIy8sj7xX9fc3NzZGUlASA//sKHs6A6O+yadMmEb9w4YwCiiIvW0dYWBguXryI8PBwZGZmQltbG40aNUK3bt0wYcIE1KpVq0LHk9bH0NBQmJqakuV3795J3J7L5eLevXvw9vZGdHQ0cnNzoa2tjQYNGsDBwQGjRo1Co0aNKtQnWTg7O8Pf3x/FxcW4du0a5s6dq1AchsAVRVlZGS4uLiQAVR5MJhM+Pj64f/8+3r17h8zMTKioqKBBgwawsbHBmDFjxILdkpOTpQoj4c+3bt0q1e8+KCgIXl5eiIyMRFpaGpSUlGBsbAxbW1uMGTMG7dq1U6j/AH/WQPCfzcrKgpaWFkxMTDB06FC4uLh8sziW9evXw9/fHwB/BuPw4cNkdlkagv8SwI+3UPR+MmjQIGLhDg0NxZw5c0TWW1tbE9eP6OhosFgsift+9uwZAL4VfMyYMUSwBgQEoH379mLtha3qVlZWco02LBaLzMgYGhrC0dERTZo0gYeHBwC+S4q8QaLwM0pLS0vuMQGIuLnk5uYiOzu7wveKb4nwveb169dQUVERef7Iav/ff/+hU6dOYm1iY2Nx4cIFhIWF4evXr2Cz2SLP2/79+9MYLgVRWIQLRtCSfhABwoETkv5U5TExMcHDhw/JFBXl10bYShMUFKRQTmt3d3fMnTsXACTe2AsLC7Fy5Urcu3dPbF16ejrS09Ph7++Pc+fO4ciRIzKDhgB+kNPGjRvFBH9GRgYyMjLw/Plz+Pv7Y8eOHQgLC8OiRYtIYJhw20ePHuHRo0eYMGGCyBSwJLKzs7Fy5Uox6yOTyURERAQiIiJw+fJlnDhxokrZhDIyMjBnzhxERUWJfC7IhhAYGIjTp0/j6NGjCmUhKI+RkRE+fvwIgP/7CqZpZbFr1y7io1pZ8V9VWCwW1q1bJ3b+BVkQYmJicPr0aezatUtkkPAtycjIwNy5c0Wm44X79ObNG3h6emL+/PmYMWNGtRxTS0sLAwcOxJUrV5CWloanT59K9e8VEB8fT8SSg4ODzEwXwrx48QIrVqwgrhQCmEwmEhISkJCQgCtXrmD+/PlwdXWt3BcqR1lZGVasWEGEmjCfPn3Cp0+fcPXqVYwbNw4rVqyAior0xyOTycTixYtx69Ytkc/z8vIQFhaGsLAw+Pn54fDhw9UuRg4fPoxLly4B4Ftit2/fLjcgkMViifzv5Vl4hRk5ciR69+4NABK/i6GhIVq2bImEhASUlpYiNjZWzABXWFhIrmUrKyvY2dlBX18feXl5CAgIkPgbV9Qf/PHjx8jOzgYADBw4ECoqKmjZsiXatm2L169f4/nz50hPT5c5WyC8LjMzE+/evRMRpZLQ1tYWmQHQ0tKS29efFR6Ph507d+LUqVNibkRpaWlIS0vDo0eP4OnpiYMHDyp8P/idUViEC4KtZI2ehW9asm5gAgSjTFk+YZRfhx49epDpTF9fX3h6espNHaWmpiZVnDGZTEyZMoU8XFRVVeHk5ISWLVuirKwMsbGxCA4OBsCfyXFzc8Pp06dlHm/Dhg3gcDjEAlqrVi18+fIFz549I9OUt27dgpaWFm7duoXi4mI0adIETk5OMDAwQGZmJh4/fkzScp45cwa2trYyA91u3rwJDocj0n82m42wsDAyS/T27VtMmzYNV69erZRYTUtLw5gxY4ivb/369dGjRw/UqVMHGRkZ8Pf3x9evX/Hx40eMHz8et27dqrA1p2fPniTn9JkzZ9ChQwcMGDBA5jayfl9Z2NvbQ11dXWabgoICHD9+nARnlU+hCvDva66urmSqXEtLC71790bTpk1RVFSE4OBgvHnzBkVFRZg7dy5Onz6tkG9q+T4KBB4ANGrUCKNGjZK6XWpqKkaNGkUGd1paWujZsyeaNWuGwsJCBAYGIi4uDkwmE7t27UJOTk6lc3uXZ+TIkaQQzeXLl+WKcOGATEUz2ISHh2P69OkkQNvY2Bjdu3eHkZER0tPTERgYiOTkZHA4HOzduxf16tXDsGHDAPAD5RYuXEj2dfToUZKicPr06dDX1wfAn0EThsViYdKkSUTYqaqqwsHBAWZmZuDxeAgPD0dYWBiA/8c2yMrXfODAAeTm5kJNTQ29evVCs2bNkJubi9DQULx//x4A4O/vjzNnzlQ6R7Ukrl27hgMHDpDlxYsXi8zMSeP9+/ck1Z+uri5xA1MENTU1uWLK2toaCQkJAPj32vIiPCgoiCRq6N69O5SVlWFvb4979+4hMjISxcXFYuJVeACqiAgXdkURnq0fOnQoXr9+DQ6Hg5s3b8octDZs2BAmJiaIi4sDACxatAjHjx+X+/0l+dX/yDRu3Jj8j7hcLvbu3UvWCf+/yl8n+/btw7///kuWO3XqhLZt20JVVRVxcXF48uQJuFwuoqKiMGnSJFy/fv2XHpRUBwqL8Fq1aiEtLY1cnJIQ/AnLv5eGwGomq2AH5dehT58+sLKyIlaDrVu3ws/PDzNmzICDg4NCU3/CeHp6EgFuYmICDw8PscIS/v7+mDNnDrhcLoKDgxEcHIzOnTtL3SeHw8GcOXMwb948kf4UFhZiwYIFZEpVkNFn9OjRWLNmjYiFaPny5Zg5cyaCgoIA8AWpLBHO4XBgamqKw4cPi930vL29sWzZMrDZbLx79w4nT56slGVwzZo1RICPHj0aK1euFBG/K1aswIoVK+Dt7Y2MjAzs3LlTJIuCIowePRrnz5/H58+fwWKxsGDBAnh7e2PatGkKpxdTFBsbG7kP5gULFhABbmJigmXLlom1OXXqFBHglpaWOHz4MGrXri3S5uzZs9i4cSM4HA5WrFgBX19fha5V4T4GBgYSEd6gQQMRP9LyrFy5kghwKysr7N+/X8x6d+HCBWzYsAFcLhf//vsvrK2tK2TdlEaHDh2ICHny5AnS0tKkFsxiMpnEElynTh306NFDbkAnl8vFmjVriACfOnWqWA5qJpOJ1atXE7eW/fv3ExGuq6srcu7Onj1LRPiYMWOkuuccPXqUCPBGjRrh2LFjaNmypUgbPz8/LFiwAEwmE9evX4ezs7PU2Zzc3Fy0b98ehw4dEhFobDYbq1atIq4f58+frzYR/vTpU6xZs4YsT5gwAdOmTVNoW4EBAcA3yd5hY2NDrPMRERFi31lw3wRAXPQcHBxw7949sFgshISEiAz4BEYUgB/sK89FKDMzkxyjWbNmIoOAQYMGYceOHWCz2fDy8pI7c7R48WLMnDkTPB4PcXFxGDhwICZNmoRRo0b9MsXjhO9BbDZbRIRLuzdlZmaSTCvKyso4dOiQ2Mzg69evMWvWLGRkZODjx484c+YMZs2a9Y2+xa+Bwqqnbdu24PF48Pf3J+K5PIIRkqCdpEIAAvLy8uDv7w8Gg6Fw6iDKzw2DwcDhw4dFXJVCQ0MxY8YMdO/eHWvWrMHjx4+JxUYewoGaa9askVjZrUePHiJWEXnBfz169ICbm5uYyNLR0cG6detEisq0bdsWq1evFpuiVVNTExF8r169EslbWx59fX0cP35conVq8ODBIkU3zp49K1Y8Qh6PHz8mBRusra2xZs0aMeuzmpoatm7dSvrg4+NDpnYVRVNTE//++y+aNm1KPvPz88PYsWPRu3dvbN26FcHBwcQi9i25cuUK7t69S/q1b98+Mct5dnY2Dh48CAAwMDDA/v37xQQ4AIwfPx5DhgwBwHdXEpzLb8Hdu3dJGrd69epJDbYbM2YM3N3dyfKePXskpo2tDAKLtrRAPAG+vr7Izc0FwA+CU2T2MzExkRhoGjdujCVLlki8FteuXUssaF++fEFiYmJlvgoAvp/v0aNHAfBnaP/55x8xAQ7wXTQWL15MlmUFpzZs2BCenp5iFlIVFRUsXbqUzBh/+vSpWtwtY2Ji4ObmRv47pqamWLFihcLbCwJngW9jtZWXIUUw0G3UqBE598IDnPKpCwW+5QB/YChvtuzWrVvk3Aj+qwJq166NLl26AODHnZR38SpPt27dsHHjRvIbFhYW4vDhw+jRowcmTJgAT09PMTeq6iIuLg7Hjh1T+PUt70XlefHiBTnHtra2El3z2rZtK/Ls+579+1lRWIQLprzYbDamTp0qImaysrKwbt063L59GwwGA1paWigrK8Ps2bPF/GUBoKioCO7u7igqKgLw/6h8yq9PrVq1cP78ecybN09kmio9PR2XLl3CrFmzYG9vj+XLlxNLiDROnDiBoKAgBAUFybS0Cot+YYuQJGRZExs1aiRiCRkyZIhU4WFqakoeHEwmk4gVSbRs2VKmhWXSpEnElz0jI0OhynTC3Lx5k7xfsGCBVB9VVVVV4j7CZDLJ9HxFaNKkCby8vDBx4kQR17WkpCR4enpi0qRJcHR0xKZNm77Zg+z9+/ci6Q9XrlwpUXT5+vqStIgTJkyQ+RsIP9jLC4bqRNi9w9XVVWaA69SpU4kITEhIEMlOUxWGDBlCrt2rV69KFffCfZWV61mYJk2akP/s9evXJVZKBUCCkgXI+9/K4sGDByQ9Xe/evWX6+I4YMYJct4JUd5KYOnWq1N/G0NBQxNosyxilCCkpKSLFeAC+WHv69KnC+xA2bHyL6sMNGjQgRffS09ORnJxM1r1//57MkAgLb2NjY5LxpHwRn4r6gwvnBi8vwgFR9xRZA0sBI0aMwIULF0hmGIA/KA0NDcXWrVvRt29fDB8+HOfPn6/W1KqvX7/G7t27FX7VVDYWaf9bAHB0dMTq1auxevVqheK+fncUFuH9+/cnFuvU1FRMmzYNlpaW6Nq1KxwdHXHp0iUwGAx06dIFu3fvBsCP+u/fvz+WL1+OM2fO4Pz589i0aRP69u2LoKAgMBgMNGnSBIMGDfo2347yQ6Kmpoa5c+fi0aNHWLx4sVhUf1FREby8vDBs2DAsXLhQxIojjL6+PmrVqoVatWrJdA/Q1NQk72VZpBVB+OEqq0wxg8FAnTp1yLJg+r0yqKmpiTy8KlKZkMPhkCwK2traIg8VSQhb4+UNgqSho6ODlStXws/PD3PmzBGbocjOzsaZM2cwYMAAbN68WaH8vYpSVlYGd3d3cr6dnZ2l+io/fPiQvHd0dJS53+o4L/IoP/CRVzBHRUVFxOdekEWoqhgYGJDS1snJyRJnjz5+/Ej8/+3s7BQO5FVVVSX/WWk1AgQID9KrMnsi3H9p2YoEaGpq4uTJkzh+/LjMqpPy4hGE//vC4rkyhIaGIjMzE8D/AyN5PB6WLl2qsMBXdJZk8uTJMDU1lfqSFZgszRouyRVFgCAHd2JiIomjKb+9PBEeHR1N3GStrKwkzij27t2bzADcuXNHIeHcvn17XLx4Ef/99x8GDhwo5tv85s0brF+/Hr179/4tap106NCBXH/BwcE4c+aMxFlZfX19jB8/XmQGkSIdhX3ClZWVsX//fkyePJmMaktKSlBaWkr+4K1atcK2bdtQt25djB07lowSb9y4IZa2isfjQUdHB3v27PkmI3PKj4+hoSGmT5+O6dOnIzExEQ8ePMD9+/cRHR1N2vj4+ODly5c4d+6c1OAYNpsNf39/PHjwALGxsfj69SuKiooq7LahCMIWAFnWgPLrq+oq0Lp1a/Je+GElj8zMTCJIi4qKKpR+TZb1XhGMjY3h5uYGNzc3vHnzhvy+AncEDoeD//77D+Hh4fjvv/8UTmsoi+3bt5OUf40aNcKGDRukthWkRgT4AYmKUtXzIg2BLz3AH+wpEhgrHIAoCAisDkaMGEGyiFy+fBldu3YVWS8I3gQUt4KXJyMjA97e3ggKCkJCQgJyc3OrLFglISxUha3r0qju0uPV5SbUokUL7N27F9OnT0dGRgZyc3Ph7u6Os2fPynUFEl6vqLtfRbGxsSExApGRkSRHt8DKraGhIZZdzdHRESdPngTAn2ESDJgFLiMqKipyDQfClm1J6ZMFx+7Xrx+8vLxQUFCABw8eKFTLAOAHH3bq1AmlpaV4/vw5Hj58iIcPHxLjUEZGBmbPng03Nzex9I0VpXyBJHl4eXlh+fLlVTqmojRo0AAzZsyAh4cHeDweNm3ahKNHj6JHjx6ws7ODvb29yOCTohgVioRr3LgxvLy8MGXKFJIqjcfjQV9fH1OmTMG5c+fI52vWrCElq3k8ntjL3NwcZ8+eFYtip/yeNG/eHDNnzsTVq1dx+/ZtDB8+nIjY5ORkzJkzR6KojoqKwpAhQ0jJ4Li4OOTn538TAV6TCKdWlDYzIAlBatHKIHAXqw7Mzc3h5uaG27dvi2XdeP36dbVk93j48CHOnTsHgG9x3bt3r0xra2VdHKrzvAgjnGdd0cw0wkHtwttXlU6dOhHffj8/P5H4ABaLRab/9fX1K1Wg58SJE+jTpw+2b9+Op0+f4suXL99EgAMQ8cmWZ33/UWnSpAk8PT1hZmaGXbt2EYtkZGQkmXmWhbAfuKzrZMSIEVi4cKHIS9EBqqSiPWVlZWR2x87OTqyiqo2NDZmpFIj1z58/k9+sTZs2MrNrMJlMUuxPTU1N5rUobJVVxCWlPBoaGujduze2bduGgIAAbNmyRWSWb//+/b98QTl3d3esXbsWenp6APj30MuXL2PRokVwcHDAsGHD4OnpWa33ol8dhS3hAvT19bF06VIsXboU+fn54HK5UnMvz5w5E3/88QcePHiA+Ph4cDgc1K1bF506dVLIz4vyeyKYUenfvz8R369fv4a/vz/JVwvw0/ZNmjSJPLxVVFRgYWEBU1NT1KpVi0wZx8TE/PSVzISn4ytiWRO2etWvXx9jx45VeFth63t1YmFhAQ8PD1y4cAHr1q0DwBd6sbGxaNOmTaX2+fXrV6xcuZIsu7m5ySwWBkBkStrNzU2hwELg26UjEz6+ormlhQeb1WVxBfizOH/88Qf27NkDFouFGzduYOrUqQD4v5VAJA0ePFiua0Z59u7dSwqoAPwBpq2tLZo0aQIdHR1yHi5duiTiW/y7Ur9+fZw+fZrELHTu3Blz587F/v37AfAz/NjZ2clMJymcNSYlJQVMJlNisOPAgQPFPgsJCRHx/5dGixYtYGhoiJycHMTFxaGoqAgRERHkfybJFUhNTQ12dnZ48uQJgoODweVyK+SK8vDhQyL4mEymwrMYwcHB+PLlC/Fjryjq6uqkcJurqytJhXv48OFfPsZt7NixGD58OO7duwc/Pz+EhYUhNzcXPB4PsbGxiI2NhYeHB9atW0cr6CpAhUW4MILRkCxq166N0aNHV+UwlF8AJpNJbsaqqqoiftrScHJywuDBg4kr09OnT0VE+IYNG4gAt7Ozw/bt2yXeVL28vH56EZ6Tk0PeV8SaJ9xWU1NTZmq8qlBaWkp8u9XV1RUSZmPGjMHt27eJpezp06eVEuEcDgeLFi0ibiIODg6YPn263O309PTINiNHjqzxqVRBjmtAcau2sJVXVhGSyuDi4oIDBw6AzWbjypUrRIQLu6IomhtcQGJiIo4fP06WFy5ciMmTJ0sUhM+ePasWES78nBKkM/yZ6Ny5s9h9zdXVFeHh4Xj+/Dl4PB6pLitNVLZo0QJaWlooLi4mhXuq2xDGYDBgbW2Nhw8fgsPhICYmRiTgUlq6R0dHRzx58oQUxhJ2R5TXx8pYtAF+qszr16/jr7/+Evm8oKCADGZ1dHTkpiLV1NTEpk2byHMpNjZWbkGgXwFNTU0MHz4cw4cPB5fLJYHCXl5eSExMRE5ODtzd3aGlpaVQ0bbfmYolZqZQKsl///0HW1tb2NraVsj1oGPHjuS9sG9nRkYGwsPDAfADuA4fPlxpq8bPQHx8PHkvKRWjNOrVq0fcej5//vzNpvy3b99Ofl/hnLPykPb7VoR//vmHCPk6depg+/btcv31AdEg228VbFkRGjZsSKbrk5KSFHI7Es7gUd3Xf926dUmBow8fPuDFixdITk4m2WHatWsnMzhZEg8ePCDW+8GDB2PmzJnfvFJqkyZNyPuqpDr8kVBSUsLOnTuJdVzgHy4t8FxVVZWk6QNEMyZVJ8KiOTExkQTvtmjRQmqBIEFwJsBPgyeIGRGIemmkpaWRa1FXVxejRo2S+3JxcSHbX79+XWz2yNHRkdzHhO+5smjcuLHIAP7r168KbferoKSkBDMzM8ycORO3b98mfvlcLheHDx+u4d79+FTJEi6LCxcu4MSJE2AwGCJZCCi/J8IZUCIjI8HhcBSachcWIsK+gcLBic2bN1doVuZnhclkiqTFE065KA99fX2Ympri7du3YLPZuHv3Lv74449q76Pw7ysYHCmCtN9XUcLCwnDkyBEA/If2jh07FLZo29raEvHt4+MjN0PKt0ZVVRVWVlYIDAwEl8vFvXv3ZFqa2Wy2yAyPvOqWlWHEiBHw8/MDwA/QbNCgAREuFbWCAxAp5mNhYVE9nZSDlZUVCTJ9+vSp1OA9AaNGjUJRURGMjY1FqgP+aNSqVQt79uzBpEmTwGaz8fLlS+zevVtiUSqAP9sjeBYL3IuaN29erX0SFuFv3rwhQdKystI0b94cjRo1QnJyMiIjI8lAqWXLljIL+d28eZNU2x4wYIDMIGxhYmJiEBcXh6SkJISFhYm4sLRs2RIxMTEA+PcxeSXrAb7YFDZu/KoVIhcuXEiC/Pfu3StxtlNZWRkLFiwgg7y3b99+1z7+jHwzS3hBQQFSUlLkVlCj/B506dKFBJtlZGQo9HDjcDi4c+cOWRYWn8I3gOTkZHIzLo9g2lFAdfrNVhcfPnyQGUD533//IT8/HwDfeitsPVaE4cOHk/f79+8XcW0pD5PJxLx58yqcc7pPnz4ky1FUVJTI7yaNoqIiIvCAig0uAL71b9GiRcSyOn36dLEsHrIQPi/e3t5yBw+7d+8mgZ8VRXjAKStNpnAQ3OHDh2W6T5w+fZpcN+WrBFYX3bp1I9ZWX19fUsBGS0urUqllhQPzZOWJj4+PJ9VwAen/W2E/emnndcCAAeR+4evrKzOLzKNHj/Dy5UvEx8f/FFm7bGxs4ObmRpZPnTol8p8Spnv37kQkM5lMLFy4UCH3nIqkhzQ3Nyci9O7du+S/Kc8lQWANDw0NJbVFKuKKIsmXXRrCWVGEnw0ARK7po0ePKlSw7MGDB0SE6+npicy8/AwoKyuLzBxKSxn7/v17+Pn5wc/PT+bzQfg/rmhsy+8MdUehfBfU1NSwdOlSsrxnzx7s2rVLaqaJ3Nxc/P3338RSqaurS0pXA3zLqyAgOC8vD/v27RN7UGdkZGDWrFlkShT4MX1Cc3NzMWvWLIn+r7dv38a+ffvI8sSJExUqmS7MqFGjiAtLWloapkyZgs+fP4u1+/r1K6ZMmYL79+9j8uTJxIqlCEZGRiLpuZYsWYJTp05JvaF//foVrq6uJENJw4YNZeYglsSKFSvI1K+FhYVIZVFFMDc3J4FDHA4Hs2fPlliIp7S0FOvXr8exY8ewYcMGXLx4sULHAUSzncTHx0t1Nenbty+xEKempmLmzJkSB2jXrl0TyYohHJRanSgrK5Mp/NLSUvJ79e/fv1IpJYXdC65evSox5/3z588xZcoUkcBZaedL2FIqrYhVrVq1SEAyi8XC7NmzJbqlBAYGiqR7E/jA/+jMmDFDxNK8fPlyqcavrVu3klnD169fY9y4cTLrDjx79kykMqe831xZWZmkFBQYDrS1teUKasEslCDAD5AtwiMiIshvaGRkVKG0koMGDSKi8969eyLPoLFjx5KA9K9fv2Ls2LEyB+f+/v4i/71Ro0Z9c/eq6obBYIgk15D2PxJORbpu3TqSm12YsrIybN26lSzTBBzy+WbuKBRKeYYNG4bs7Gxs374dPB4Px48fx7lz52Bvb4+WLVuSwKGEhAQEBQWRqS8VFRVs2bJFxM1ARUUFM2fOxI4dOwDwrRZPnz5Fp06doKGhgYSEBDx58kTMOlbRUuzfizdv3qB///7o0aMHWrZsCQ6Hg7CwMJEbYtu2bTFx4sQK71tTUxMHDx7EhAkTUFRUhNjYWDg7O6Nbt24wNTUFm83G+/fv8fTpU3K+nJ2dFZqKFWbOnDnIysrC2bNnwWKxsG3bNnh4eMDe3h5NmzaFhoYG8vPzERcXh5CQEHIsLS0t7Nq1q0JZNi5duiRi8TMzMyP5hmXRvXt3ke+1adMmJCQkICEhAXl5eZg6dSosLS1hY2MDNTU1pKSkwN/fnwRKtmrVqlIW4BYtWqBWrVrIzs5GYWEhhg8fDjs7OxQXF2PlypUktauysjL27NmD0aNHk7iHfv36oWfPnmjevDmKiooQHBws4gs+efLkbxr89Oeff5LcwAIq44oC8CvSmpmZ4e3btygpKcGIESPQq1cvtGzZEkVFRXjx4oXESpXS/re2trbEfWDt2rV4+vQptLS00KlTJxG3E3d3d4SFhSEmJgafPn3C4MGDyfVfWlqKqKgoEeve9OnTqz1f+LeCwWBg+/btGD58OL58+YK8vDy4u7vj3LlzYtb8Jk2a4NixY5g5cyby8/Px9u1buLi4oEOHDujYsSMMDQ1RWlqKL1++4OXLlyK59I2MjHDgwAG5/bG2thYZzHbt2lXurELnzp2hqqoqcr+WJeCELdjOzs4VMkw0aNAAVlZWCA8PR3FxMe7du0dc9NTV1XHy5ElMmDABHz9+RGJiIsaOHQsTExNYWVmR/2l6ejrCw8OJ/zrAd3uaO3euwv34kbC1tcX9+/cB8O/jPXr0gLKyMgYPHkxmKUaOHIl79+4hLCwMnz9/xpAhQ9C1a1e0atUK2traSE1Nhb+/P5lpVVVVxbx582rsO/0sUBFO+a5MnToVpqam2Lx5M96/f4/i4mIyxSWJJk2aYMOGDbC3t5e4r9TUVJw5cwYASHokYVq1aoVp06YRC9e7d+9QXFz8Q/ntdezYESYmJrh8+TK5EZbH3NwcJ06cUDiNXnnatm2Lixcvws3NDR8+fACLxZJ43hkMBqZMmQJ3d/dKHWf16tWwtLTEzp078fXrV+Tm5uLu3btS25ubm2PLli0VzopS3lpz6dIlhbarU6eOiAjX1dXFhQsXsGTJElJZNDIyUqI1yNHREdu2bauUBVhZWRl//fUXqcKYlJREBM6iRYtE2jZq1AgXL17E/Pnz8fr1axQXFxOf5vL7XLRo0Te32DZq1Aj29vak8mSrVq1gZWVVqX0pKyvDw8MD06dPR0JCAjgcjsRrfsyYMSgtLSViKzIyUmJ6zUmTJuHatWvIz88Hk8kk15pw0C3AF1enT5/GokWL4O/vL/X6V1NTw7x5875ZFqFvhYGBAfbt24dx48aBxWLh1atX2Llzp4gVW4ClpSWuX7+O1atXk980KipKxP1HGCUlJQwdOhQLFiyQWjBNmPLiWZEBoo6ODiwtLcmsZcOGDcV+QwGlpaUi7m4VcUURMHjwYGLh9vLyEomTMTIywpUrV3DgwAFcuHABbDYbcXFxEi2/AP/8jBw5EsuWLRPLg/6zMGvWLPK/KCwshLe3NwCIFFdSU1ODh4cHVqxYAV9fX/B4PDx//lwkA46AWrVqYfv27RV2MfwdoSKc8t3p2rUrbt26haCgIPj5+eHly5ekApyGhgbq1q2Ltm3bonfv3ujVq5fU6T0Gg4FVq1ahV69euHDhAiIiIpCbmwttbW2Ymppi4MCBcHFxAY/Hw/3794mV5fPnzxXO6vAtUVJSwsaNGzF48GBcunQJ4eHhyMrKgoaGBlq2bInBgwdj1KhRlRbgAkxMTODj4wNvb2/cv38fr1+/RnZ2NjQ1NWFsbAx7e3u4uLhU+dwMGjQIvXv3xrNnz/Do0SPExMQgIyMDBQUF0NLSQr169dC+fXv069cPjo6OFXavqW709PTg4eGBkJAQ3LhxA+Hh4cTtwsjICO3atcOQIUPQrVs3hbKuSGP8+PFQV1fHf//9h8TERKiqqqJZs2YSB4SNGjXCtWvXcPfuXdy5cwfR0dHIysqCiooKGjdujC5dumDMmDEKl4uvKiNGjCCCrbIVMgXUr18f165dw8WLF3Hv3j3Ex8ejrKwMdevWha2tLcaNGwcLCws8e/aM/A7SrpH69evj3Llz2LNnD8LCwlBWVgYjIyOJfrk6Ojrw8PBAUFAQ+Z0zMzOhrKyMhg0bwsnJCSNGjJCaxeNHx8LCAosWLSLuAKdPn4adnZ1IWlcBjRo1wqlTpxAREQEfHx9EREQgKSkJpaWl0NHRgYGBAZo1awZ7e3s4OTlV6DqzsLAQsWorOkvj6OhIRLgsK7ivry9xK2zSpEmlYiH69++PzZs3g8Vi4cWLF/j06RMpTgXw7wmrVq3C1KlT8fDhQzx58gSfP39GZmYm2Gw29PT00KJFC9jY2GDYsGEi2/6MtGvXDp6enti/fz9iYmLAZrPRoEEDsUGXjo4ODhw4gLCwMPj4+CAsLAwZGRkoLi6Gnp4eWrduDScnJ/z555+/dLKE6oTB+0aRaseOHcOePXvAYDB+iPRfFMqPREhICHEtsbKywoULF2q4RxQKhUKhUL4nNDCTQqFQKBQKhUL5znwzd5SxY8dWyleLQqFQKBQKhUL51flmIlxHRwc6Ojo/ZF5mCoVCoVAoFAqlJqlWd5TCwkKcO3cOs2fPRo8ePWBpaQlzc3McP35crO3evXtlFiihUCgUCoVCoVB+VarNEu7j44MNGzaIFFXg8XgSswns3bsXR48exfXr13Hu3LmfNhqdQqFQKBQKhUKpDNViCb906RIWL16MgoIC8Hg88pKGkZERlJSUkJGRgUWLFkktOU6hUCgUCoVCofyKVNkSnpKSgk2bNoHH40FFRQUzZszAkCFD0KhRI6mJ2seNG4fc3FwcPHgQUVFRePjwIfr27VvVrvx02NjYgMlkkipclN+LRo0aAeBXX+vVq1cN94ZCoVAoFIokMjIyoKamJlJZtzqosiVcUKKawWBg3759cHNzQ/PmzeWWqXV1dSXiU1Cd6XejrKwMbDa7prtBoVAoFAqFQpECm81GWVlZte+3ypbwwMBAMBgMWFtbS6zMJQ1lZWU4OTnhypUrePfuXVW78VNiZGQEAFJLtlMoFAqFQqFQapZvNVtdZUv4ly9fAADW1tYV3tbY2BgASGliCoVCoVAoFArld6DKIry0tBQA5LqfSKKoqAgA3ypOoVAoFAqFQqH8LlRZhNerVw8AkJCQUOFtAwMDRfZBoVAoFAqFQqH8DlRZhHfu3Bk8Hg+PHj1CUlKSwtt5e3vj3bt3YDAY6NSpU1W7QaFQKBQKhUKh/DRUWYSPGzcODAYDLBYLrq6uiI+Pl7vN3bt3sWrVKgAAg8HAn3/+WdVuUCgUCoVCoVAoPw1Vzo5iZmaG2bNn459//sGHDx/w559/YtCgQXBwcCBtsrOzERUVhbdv38Lb2xsvXrwg1TRdXFzQpk2bqnaDQqFQKBQKhUL5aWDwZJW2rAArV67EtWvX+DuVUKpeGMEhO3XqhBMnTlQqqPNXQJDyhqYopFAoFAqFQvkx+VZ6rVrK1gPA5s2bsXfvXtStW1esdL3wMo/Hg5qaGqZNm4Z///33txXgFAqFQqFQKJTflyq7owgzYMAA9O3bF4GBgXj48CGSkpKQkZGB0tJS6OrqokGDBrC1tcXAgQNRp06d6jw0hUKhUCgUCoXy01CtIhzg5/x2dHSEo6Njde+aQqFQKBQKhUL5Jag2dxQKhUKhUCgUCoWiGNVuCReGx+Ph8+fPyMnJAY/Hg6GhIZo2bSo3cJNCoVAoFAqFQvmVUViEb926FQDQo0cPdO7cWWbb8PBwnD59GgEBASguLhZZp6Wlha5du2Lq1Kno2LFjxXtMoVAoFAqFQqH85Cgswk+fPg0Gg4E6depIFeE8Hg+bNm3C+fPnyXJ5ioqK8ODBAzx48ACTJ0/G0qVLK9l1CoVCoVAoFArl56Ra3VHWr1+PixcvinxmZGSE+vXrg8vlIi0tDenp6USce3p6QlVVFX///Xd1doNCoVAoFMpvAJfLRWxmAnJK8mCoqY82dVpBSYmGu/2qcLg8vPmQhez8UtTS04B5i9pQVvp5XZyrTYS/ePECFy9eBIPBAI/HQ58+fTB//ny0bt1apN2nT59w/PhxXLt2DTweD//++y+GDBmCVq1aVVdXKBQKhUKh/OKEJEfCM+IyskpyyWe1NQ0w2WokOjWyrLmOUb4JgVFfcOxGNLLySslntfU1MHNYe3Tp0KAGe1Z5qm24ePnyZfJ+ypQpOHjwoJgAB4CmTZti06ZNWLZsGQD+KLa89ZxCoVAoFApFGiHJkdgdcExEgANAVkkudgccQ0hyZM10jPJNCIz6gq2nw0QEOABk5ZVi6+kwBEZ9qaGeVY1qE+EvXrwAANSvXx8LFy6U237SpEkwMzMDj8dDSEhIdXWDQqFQKBTKLwyXy4VnxGWZbTwjroDL5X6nHlG+JRwuD8duRMtsc/xmDDhc8TjEH51qE+FZWVlgMBjo0aMHVFQU83Lp2rUrAODr16/V1Q0KhUKhUCi/MLGZCWIW8PJkleQgNjPh+3SI8k158yFLzAJenszcErz5kPWdelR9VJsI19LSAgDUqlVL4W20tbUBAKWlsk8uhUKhUCgUCgDklORVazvKj012vmIaUdF2PxLVJsLr168PAEhPT1d4m+TkZACAgYFBdXWDQqFQKBTKL4yhpn61tqP82NTS06jWdj8S1SbCu3btCh6Ph5cvXyrUvrCwEH5+fmAwGGjbtm11dYNCoVAoFMovTJs6raCjpi2zTW1NQ7SpQ7Ou/Qq0aV4Lmuqy3ZzrGGjCvEXt79Sj6qPCKQoPHz6Ma9euoV69eqhfvz6MjY1Rv3594oYSFxeHe/fuoX///lL3UVZWhkWLFiEvLw8MBkNmWwqFQqFQKBQByfmpKGWXyWwz2WoEzRf+C8Dh8nD0ejRKytgy280Y2u6nzBdeYRFeWlqKT58+4dOnT2LrBDnC161bJ1FYv3nzBk+ePMHly5fx9etXMBgMtGrVCoMGDapc7ykUCoVCofw25JcWYPvzI2Bz2WisVx9FrBJki+QJN8RkqxE0T/gvAIvNxd4LEXj2MgUMBtC/czOEvvkqEqRZx0ATM4a2+2nzhCsswgcOHIj09HSkp6cjLS1NZjBl8+bNJX6+c+dOBAcHA+CXtK9Tpw7279+vcDYVCoVCoVAovydsDhu7A48joygLxjp1sa7n39BW1aIVM39BSplsbDsdhvC36VBRZmDhOGs4WDTELG6H37Ni5u7du0WW8/PzkZaWJvZKT08nqQclIShZ7+TkhNWrV6Nhw4aV7DqFQqF8HzIyMlC3bt2a7sZ3hcVioaioiAbOU34IeDwe/o24hNiMeGiqaGCpw2zoqusAANoamdRw7yjVSVEJCxtPhuD1hyyoqSpjxWRbWJsZAwCUlRho36pODfew+qi0CVpPTw96enoSq2JKo1evXnByckL37t3RrFmzyh6aQqFQvhuenp44cuQInj17BjU1tZruzncjICAAq1atwqFDh9CxY8ea7g7lN+de/GP4fXgOBhhws5+KRvr1a7pLlG9AbkEZ1h4PwoeUPGhrqGDN9M4wb/7zBVwqynf1Axk/fvz3PByFQqFUiWPHjmH37t1QUVFBcnIyWrRoUdNd+m58/foVGRkZmDx5Mk6dOgVLS+pjS6kZor7G4vTLqwCAcRbDYNWgfQ33iPItSM8pxpqjgUjJKIKBjjo2zLJH8wa/dppJ6jhFoVAoEnj48CF2794NZWVl7N+//5cV4CEhITA1NYWpqSkOHjxIPh89ejTGjx+PkpISzJ49G2lpaTXYS8rvSmpBOvYGHgeXx0W3pp0w2LRPTXeJ8g1ITi/A0kPPkZJRhLqGmtg+1+GXF+AAFeEUSrVx8OBBIma8vLzktj9z5gxp7+DgQIpXSSI7OxvHjx/HhAkT0K1bN7Rr1w5WVlbo168fFi1ahMePH4PL5Urcls1mw9LSEqampujRo4fcfi1btgympqZo06YN8vJkV5xbv349+Q5PnjyRu+9//vmHtL9y5Yrc9pIICgrCsmXL0L9/f1hZWaFDhw7o1asXpk+fjqtXr6KwsLBS+xUmOzsbK1euBAC4ubmhd+/eIusF50jSy8zMDDY2NnB2dsayZcvw7NkzEgvzs7F8+XKYmZkhJycHS5curenuUH4zipjF2P7sHxSxStC6dnPMtB0HBuPnDcKjSOZ9ci6WHX6OzNwSNDLSwY65jmhQV6emu/VdoCKcQqkB7t+/jy1btgAAtLS0cPToUTRq1Ehi23PnzqFPnz7YtWsXQkNDkZaWRoLmPn78CG9vb8yaNQtjx45FUlKS2PYqKiqwsLAAAHz58kWuRfP58+cAAC6Xi6CgIJltBcW5lJSUYG1tLbMtAFy/fp28V2SgIkxWVhamTZuGyZMn4/r160hMTERRURHKysqQnJyMZ8+eYeXKlRg4cKBCAwJZHDhwALm5uTA3N8f06dMrtC2Px0NBQQHev3+P69evY/r06Zg4ceJPaUlWUVHBxo0bwWAwEBQUhIcPH9Z0lyi/CVwuF/uD/sWXgjTU0jTAoq6zoKasWtPdolQzrz9kYcWRAOQVMtGqkT62/eWAOgaaNd2t7wbNDUihfGfCw8OxaNEicLlcqKioYN++fVKrxu7btw9Hjhwhy/b29nBwcICRkRGYTCbi4uJw584dZGRkIDIyEmPHjsXFixfFsg7Z2NgQQR0REYEBAwZIPN7bt2+RkZFBlgMCAqQW0youLsa7d+8AAGZmZtDRkW25ePHiBT5//kyWIyIi8PHjR4WCtAsKCjB+/Hh8+PABAGBgYIChQ4eiadOm0NfXR3p6OgICAhAQEICvX7/C1dUVhw4dQq9eveTuuzzv378nVvqFCxdCWVlZZvt58+ahVav/V+YTiPCYmBjcvn0bhYWFCA0NxbRp03D58mVoaWlVuE81SYcOHeDk5AR/f3/s3LkTTk5ONK0s5Ztz9pUXXn59AzVlVSxxcKUl6H9BXsSmYatnKJhsLtq2qI010zpBS+P3GmjROymF8h15//495syZg7IyfrW3tWvXonv37hLbPnnyhAhwHR0dHDx4EF26dBFrt2DBAqxYsQJ3795Feno6li9fjv/++0+kjbCVOjIyUqoIf/r0qchyQECA1O8SHR0NDocjtn9pXLt2DQA/s1JJSQlYLBauX78Od3d3udvu37+fCPD+/ftj69atYmJ26tSpePr0KebNm4fS0lIsWrQIfn5+pJqvohw7dgxsNhtmZmZwcHCQ297W1hadOnUS+3zkyJH466+/MH36dMTFxSE+Ph6nTp3CX3/9VaH+/AhMmTIF/v7++PjxI3x8fDBs2LCa7hLlF+ZxYhB84vwAAHPsJqFFraY13CNKdfM0Mhl7zkeAw+XB1twYSyfaQl1VtsHjV4S6o1Ao34n09HTMmDEDubm5AABXV1eMHDlSYlsej4fNmzeT5X379kkU4ADfnWXHjh0kcDAkJASRkZEibTp27AhVVb6Fofw6YZ49ewYAJCd2SkoKPn78KLGtwBUF4FvaZVFSUgJfX18A/MJfgoHHjRs3pPqyC+Byubh16xYA/nfdvHmzVGtyt27dMHfuXAB8S/358+dl7ltSP+/fvw8AcHFxqdC2kjA2NsaOHTvIso+PT5X3WRN06tSJzFgIfgsK5VvwNuM9jr3g/2//MHdGlybyB/iUn4u7QR+x61w4OFweuls2worJdr+lAAeoCKdQvguFhYWYNWsWUlJSAABDhw6VaQEOCAjAp0+fAPALWzk6Osrcv5qaGiZNmkSWHzx4ILJeU1MT5ubmAIDY2FhiiRemqKiICHQXFxficiDNGi4s5uWJcF9fXxQVFQEAhg0bRiypX79+RWBgoMxtc3JySICoiYmJXLeXgQMHkvcvXryQ2bY8Dx48QHFxMQBIdcOpKG3atCH+/h8+fJBabbi0tBQnT57EH3/8gY4dO6Jjx47o378/Nm3aJDNoV8DXr1+xf/9+DB8+HHZ2dmjXrh2cnJzg5uZGKhVXBScnJwBAcHAw0tPTq7w/CqU8mUXZ2B1wFGwuG3YNO2JEu4HyN6L8VFzxi8M/V1+BxwOcuzTD32OtoKL8+0pR6o5C+aZwudzfvqQwi8XC/Pnz8ebNGwBA586dRazcknj8+DF5P3ToUIWO069fP+K/XL++eCELa2trvHr1CiwWC9HR0WLCOTg4GCwWCwDfohwSEoKXL1/i+fPnGDdunNj+Xr16BQBo1qwZ6tSRXcFM4IrSrFkzdOzYEUwmEwYGBsjNzYWXl5dMtw/hAjlZWVkyjwMA9erVg5ubGwDA0NBQbnth/Pz8SD+NjY0rtK0s6tatS4R0Xl4eNDQ0RNZ//vwZM2bMEJt1SExMRGJiIi5fvowdO3ZIHRhcunQJW7duRUlJicjnqampSE1Nxb179zB58mQsX7680t/ByckJnp6e4HA4ePToEUaPHl3pfVEo5Slll2H78yPIKytAU4NGmNtpEpQYv9ez4leGx+Ph9O03uOafAAAY2dsE4/ub/fbZbqgIp3wzQpIj4RlxGVklueSz2poGmGw1Ep0a/T6FP1atWkWsySYmJjh06BBxDZFGdHQ0eW9lZaXQcQwNDTFixAip621sbHDy5EkA/KDI8iJckBVFT08PlpaWcHBwwMuXLxESEgI2my0SjPfp0ydkZ2cDkO8PnpycjLCwMAD/H1CoqanB2dkZ58+fx8OHD5Gfnw89PT2J2+vq6qJVq1ZISEhAUlISrl69ij///FPq8ZSUlDBnzhyZfZKG4LxXd4XIzMxMAACDwRCz5H/58gWjR49GVlYWlJSUMGDAANjb20NVVRVRUVHw8vJCSUkJ/v77bzRo0AAdOnQQ2f7mzZtYs2YNAEBdXR3Dhg1D+/btwWazERUVhZs3b4LD4cDT0xOtW7eWee5k0b59ezAYDPB4PERFRVERTqk2uDwuDoecxqfcZOip62CJgys0VDXkb0j5KeBweThy7RV8g/mzu1MHt8Vwp1Zytvo9oMNMyjchJDkSuwOOiQhwAMgqycXugGMISZbul/wrsXfvXty4cQMA3z/4+PHj0NXVlbudwG1FU1MT9erVq5a+WFtbE6uDJL9wgQjv2rUrlJWViXW6qKhIxP+7/PbyXFFu3LgBHo8HBoMhYtUXuKSUlZXh9u3bMvcxe/Zs8n716tXYsGFDtbtEZGdnk/OuSMYWRYmKiiKpI1u3bg1tbW2R9evWrSMC3MPDA3v27MGIESMwbNgwrFmzBhcvXoS2tjY4HA5JaymAyWRi+/btAAB9fX1cu3YNGzZswIgRIzBmzBhs3boVhw8fJu1PnTpV6e+ho6ODBg0aAABiYmIqvR8KpTxXX99BSHIklJWUsairK+pq/7plyn83WGwudp19Ad/gT1BiAPNGdqQCXIgqi/AbN27gxo0biI+Pr/C23t7eOHToELy9vavaDYoceDweStll3+VVzCrBqYjLMvtzKuIyilkl37wvNVkk5cKFC/Dw8ADAt4AeOXJEYUFdUFAAAHL9nyuCgYEBSaVXXlR//PiRpA/s1q0bAH5qOn19flqw8n7higZl8ng8khvcxsZGJHWihYUFEbvC+cMlMWjQIJJVhMvl4ty5c+jRowdcXV1x7do1YpWvCoJ0iwDEUjxWlqSkJCxatIgsl3friYiIIDnNp0yZIjFTjpmZGaZOnQqAP/h5//49WfflyxfUqlULrVu3xoQJE9C6dWux7Xv06IF27doBABISEohvfmUQXD/v378nrksUSlUISgrH1df8QfgM67Ewq9uyhntEqS5KmWxsOhWC56++QEWZgSUTbNG3E810I0yV3VGWLVsGBoOBv//+W+IDQBbBwcHw8vJCw4YNMXjw4Kp2hSIFHo+HNX678C7rQ013hZBdkovJXn9/8+OY1mmJDT0Xfne/s8ePH4sUNuHxeLh//77UfODlEQTvCftDC1NcXCyWTlCYWrVqwc7OTuxza2trxMfHIzs7WyRHt8AKzmAwiAhXVlaGvb097t27h4CAAOJnDfzfEl63bl00adJEaj9CQ0OJL7Qk3/ahQ4di//79ePXqFd6/f4+WLaU/gOfPn48OHTpg69at+PjxI9hsNvz9/eHv7w8lJSXY2tpixIgRGDBgQKXyWAsLeUVmKwSEhYUhJyeHLAvyhEdGRuLu3bvET9vZ2VksG87du3fJ+7Fjx0o9hoODAykpHxERQc5Ts2bNFMq40rx5c2K9zsvLE7PGK4og3SObzUZ+fj5q16YWS0rl+ZD9GYdDTgMABpr0Qs8WkjNAUX4+CktY2HAiGLEfs6GupowVk+xgZWZU09364ahRn/Di4mLweLyfspLcT8dvHvzwvRGk41NTU4OSkhJKS0tx9OhR2NraKpR7Wh4ZGRkiorg8dnZ2OHPmjNjntra2uHjxIgC+mBOIcEFqQnNzc5EgS0dHR9y7dw8xMTHIy8uDvr4+ioqKyMyXPFcUgYVbQ0NDYm7yoUOH4sCBA+DxeLh27RqWLFkic3+CTDF+fn64cuUKgoKCwGKxwOVyERISgpCQEBw8eBBbtmyR27fyCDKwCPqrKAJxLA1VVVWMGzcOS5YsEQtKFmRv0dPTQ0xMjFQ3D+GA1MTERKnH4vF4SEpKQkpKCoqKisBmswFA5B4rLyWkLITFOxXhlKqQW5KHnc89wOSwYFHPHOMthtd0lyjVRE5BKdYdC8aHL3nQ1lTF2mmd0aZ5xeo1/C5USIQXFhYiPz9f4rr8/Hx8+fJFof2wWCxERkaSTAQVeeBRKg6DwcCGngtRxmF+l+PFZsRj69PDctst7/YX2tSt2OxJRVFXVqux6GtlZWXs3bsXOTk5WLVqFXg8HhYvXowbN27IzbyhqqoKFoslNZ1dZREWppGRkXBxcQGTyURoaCgAiLlDCFIjcjgcBAUFoX///oiKiiJFemxtbaUeq6ioiAxGevXqJdG1pmHDhrC1tUVoaChu3bqlUIVKZWVl9O3bF3379kV+fj4eP34MX19fPHnyBCwWC58+fcLEiROxZcuWChWVEbgAAajWDD5nzpyBpaXkQGSBX3t+fr7MQZUwhYWFYp9lZmbCw8MDPj4+Ilb56kb4N5T2LKBQ5MHksLAz4CiySnLQQNcYC+ynQVnp98wT/auRnlOM1R6B+JJZBANddWyYaY/mDWi1U2lUSIR7enqKBPkI4PF4OHHiBE6cOFGhgwuCtSpqsaJUHAaDAQ0V9e9yLAtjc9TWNBALyhSmtqYhLIzNf9l0hQwGA5s3b0bv3r0B8AvoeHt7Izs7GwsXLsTp06dlik1dXV1kZ2cjPz8fHA5HrG3Tpk1FfJgBfhYSeWXa69Wrh4YNGyIlJYW4lISHh5Pc2OVFuLGxMUxMTBAXF0dK2Av7g8vKjHLv3j2yXyUlJXh6ekpsJ7CuZmRk4NmzZyQftSLo6elhyJAhGDJkCNLS0nD48GFcunQJHA4Hq1atQvv27WW6uAgjPFgTDDIU4b///hOrmHn+/HmsX78eAHD79m2pIrwyvuxMpuhg+tWrV5g5cyYpAvUtEf6/1mS8BeXnhcfj4diLc4jPSoS2qiaWOM6Gtprk4luUn4uktAKsORqIzLxSGBlqYuOsLmhQt/rimn5FKuyOIu3GW9kbsq6uLhYuXFipbSk/JkpKSphsNRK7A45JbTPZasQvK8ABYNasWRg+/P/Tq+vXr0d0dDQ+fvyIsLAwHDhwQGaxnqZNmyI7OxssFgvv37+HiYlJtfXNxsYGKSkpSEhIQEFBAfEtNzQ0FEt/B/D9kQUiHPh/UKaenp7Mfnl5eZH33t7eCgVge3l5VUiEC2NsbIwNGzZAV1cXJ06cAIvFwtmzZ7F27VqFthdOkSgYPFSWESNG4N9//0VycjIuXryIyZMnk4I9wqipqaG0tBQWFha4fFl2MLMkCgsLMW/ePCLAu3fvjpEjRxK3IkFMwbJly+QGvyqC8MyMtJSSFIosvN89xNOPIVBiKMG9yww00K2+fPyUmiMhORdrjwUhv4iJxsY62DirC2rra9Z0t354KqSCdHR0YGxsLPIC/p/7tvw6aa8GDRqgXbt2mDJlCm7dukUi7im/Dp0aWWJh15morWkg8nltTUMs7Drzl88T3rSpaAS4trY29u/fD3V1/mzE0aNHSTCkJIQtzLICMCuDYOaJx+MhNjaWVKx0cHCQODAS+LCnpKQgKSkJr1+/BsDPXy5tIJWUlITw8PAK9+3Ro0diFl1PT0/s3bsXe/fuVchCPXHiRPJe0FdFEA7GrKoIV1VVxdy5cwHw3e+k+Y0LAh0VdeUrz/3794m/95gxY3Ds2DH07t0bDRo0kBrUWxWEz4sgcw6FoigRX2Jw7hV/MDix4x/oUK9NDfeIUh3EvM/Ein8CkF/ERKtG+tg6x4EKcAWpkCV88uTJmDx5sshnZmZmAPiWvxkzZlRbxyg/P50aWcK2gcVvXzFTgJmZGVasWIG1a9eCx+NhyZIluHHjBoyMxCPG+/fvT9y7Ll26hIkTJ1abqBIW+DExMYiLiwMg7ooiwNbWFpqamigpKcHTp0+RkZEhtp/yeHl5kdmxc+fOyXU5u337Nv7++2+wWCz4+Phg/PjxZN29e/eI64yLi4vYAKc8BgYG5L2wn7c8hIMMBd+xKgwdOhTHjx/H+/fvcevWLUyfPl0sg1S7du3w5csXZGRk4O3bt+R+qiiCKqwAvkvxHIHgV1FRoZZwSoVIzkvF/uB/wQMPPVt0xYDWPWq6S5RqIOzNV2w7HQYmm4t2LWtj9dRO0NKQXYyO8n9+TzVE+W4oKSmhrZEJHJraoq2RyW8rwAWMHj0azs7OAPgZLxYuXCjRutu+fXt07twZAL+k+f79+6utDy1btiQW2OvXr4PL5UJJSUlq1hY1NTUSgCkoPw9Iz4zC4/FIgaJ69erJragJAD179oSWFt8vVNiNBQA5DwBIZhdZCBcSqki+b2EBXL58fGVQUlLC/PnzAfAzkuzZs0esjbAPv6R4G2H8/f1JMSEBguwnAKTm/+ZwOJWq4yAJgcW+devWcqu+UigCCsoKsf35EZSwStGmbitMtxr925cr/xV4EpGMzadCwWRzYWdeD+tm2FMBXkGqRRHRAB0KRXE2btxIrLmhoaE4cOCAxHZr1qwhwvTEiRPYu3evWFCegKKiIpH9yMswIhDGAiu4hYUFDA0NpbYXZEkRuHeoq6uTAjDlCQ4OJmJtwIABCj1sNTU10bNnT3IM4aDT8ePHE9eHU6dO4cSJE1LT7KWmppKASAAYOHCg3GMLMDAwIH7bstIAVoR+/fqR3PCPHj0SK5I0cOBAcsz79+9j//79Eu+nt2/fxvz58zFy5Eh8+PD/fP/ClvXz58+LbVdaWooVK1aIpD4U5C2vKEwmkxxb2m9PoZSHzeVgb+AJpBVmoK5WLSzsMhMqyjWaHZlSDdwJTMTu8+HgcHlwsm6E5ZNtoa5KM9xUlCr/EwRpBql/IIWiGDo6Oti3bx9GjRoFJpOJY8eOwc7ODl27dhVp17JlS+zZswfz588Hk8mEh4cHvL29MWDAALRo0QJqamrIyclBbGwsHj58SFLG6evrY9myZTL7YGNjgwcPHpBlQYEeaZS3kltYWEh1jxG2ZAus/org7OxMCs94eXlh+fLlAIA6derAw8MD06ZNQ3FxMXbu3InLly+jT58+aNGiBTQ1NZGbm4vo6GiRjCxdunSRWCBIFhYWFkhOTkZ0dDSYTGaVXYAYDAbc3Nwwc+ZMAMDu3btF8rerqqpiz549GD9+PJhMJv755x88efIEAwcOhJGREbKysuDn50dSSNavX18kwHPw4ME4ePAgcnJy4OPjgy9fvmDAgAHQ1dXF+/fvcfPmTZIGUUBls6i8ffuWVMm0sLCo1D4ovx+nI68gJv0d1FXUscRxNvQ0FC+ERfnx4PF4uPooHv/diQUADOzaHDOHtYeSEp3ZqAxVFuHVVd6ZQvmdMDc3x7Jly7BhwwZwuVySP7y8f3iPHj1w9uxZLFu2DB8+fEBKSorMVKCdOnXC6tWr5VavLe8iIs0fXECLFi1IakNJ2wsoLCwk4r5Ro0YSs61Iw9HREXp6esjPz4e3tzcWL15MKl9aWVnhwoULWL9+PSIiIvDp0yeZ58HFxQVr166tsPtTnz59cPv2bZSWliIiIkLEFaaydO/eHVZWVoiIiEBoaCiePn0qMuixsLDAqVOn4ObmhszMTLx+/VpiQGnnzp2xe/dukYGBnp4eDh06hNmzZyM/Px8RERGIiIgQ2a5du3Zo06YNrly5AoA/0yArv7s0BIHEKioqclNhUigAcD/hKXwTngAA5nWajKYG4hmCKD8PPB4Pnj5v4PU4AQAwqrcJxvU3o65FVaDa54Q+ffqEjIwMYjGRRkFBAbKzsxEZGQklJSVs3bq1urtCofzQjBs3DiEhIfD19SX+4Z6enmKuJBYWFvDx8YGvry+pXpmRkQElJSUYGBjA2NgYNjY2cHJykliqXhLm5ubQ0tJCcXEx6tatC3Nzc7nbODg44NKlSwCk+4OXL9NeEdTU1NC3b19cvXoVWVlZePz4McmzDvB9ti9cuICgoCA8ePAAL168QHp6OgoKCqCtrY3GjRvDysoKLi4uaNOmclkXevbsCV1dXRQUFODhw4fVIsIBwN3dHRMmTAAA7N27F46OjiIPLhsbG/j6+uLChQvw8/NDYmIiioqKULduXZiammLo0KHo16+fxEGFjY0Nbt26hRMnTuDp06dITU2FhoYG2c7FxQVRUVFITk4GILnYjyIIZj0dHBxITAGFIo3X6XE4FcG/X4xuPwR2jTrWbIcoVYLD5eGfq69wP+QTAGDakLYY1p1mtqsqDF41OXTfvHkT+/fvR2pqaoW3dXBwwPHjx6ujGz8VAmuS4OFGoVBqnjVr1uDSpUvQ19fHs2fPSFrJ35m3b98S1559+/ZhwIABNdwjyo9MWmEGlj/YjkJmEbo0sYFb56nUWvoTw2JzsPt8BAJefYESA5g7oiP6dJKdpepX41vptWoJzDx69CiWLVuG1NRU8Hi8Cr8oFArlR8HV1RXq6urIy8tTqMDQ78DZs2cBAG3atEG/fv1quDeUH5liVgl2PDuCQmYRWho2xRzbCVSA/8SUlrGx8d8QBLz6AhVlJSyZaPvbCfBvSZVF+Lt370hWBh6PB01NTbRr1474HDIYDDRq1Ai2trbkpaGhQdYNHz4ckyZNqmo3KBQKpVpo0KABKfjzzz//oKysrIZ7VLO8f/+eVNtcunTpb59mlCIdLpeLA8GnkJSfCkMNfSx2cIWaSvUXjaJ8HwpLWFhzLAiRcRlQV1PGmmmd0LVDg5ru1i9FlX3CL1y4AA6HAwaDgWHDhmHt2rXQ1ORXShLk3R01apRIIZ/4+HhMmTIFWVlZ0NTUlJqfmEKhUGoCV1dXeHt7IyUlBQcPHsSiRYtquks1AofDwdq1a8Fms9GnTx/Y29vXdJcoPzAXom8i4ks0VJVUsNjBFbW0DGq6S5RKklNQirXHgpD4JR/amqpYN70zzJrRWJDqpsomjRcvXgDgZ0LYuHEjEeCyaN26NbZt2wYej4cLFy4gOjq6qt2gUCiUakNHRwc7d+6EiooKTpw4IZLO8Xdi69atCAsLQ7169bBx48aa7g7lB+bpxxDcfHsfAOBqOwGtajer2Q5RKk16djGWHnqOxC/5MNRVx7a/HKgA/0ZUWYR/+fIFDAYD9vb2UiuoSaoI6ODgQDIySCoyQaFQKDWJnZ0dKfzj7u5ebQV8fhbOnTuHM2fOQF9fH8eOHZNZzInyexOflYijYfy4gWFt+sGxmWJZmig/HklpBVhy6BlSM4tgVEsL2+Y6oFl9vZru1i9LlUW4oGxy+fzGAIhVXFpKLBsbG/B4PISEhFS1GxQKhVLt/Pnnn9ixYwcMDQ1/u5oIzZs3R9OmTXHu3DmYmprWdHcoPyhZxTnY+dwDLC4b1g3aY3T7ITXdJUoliU/KwdJDz5GVV4rGxrrYMdcBDero1HS3fmmqLMLr1KkDAGJV2QAQy8nnz58lbqutrQ0AyMzMrGo3KBQK5ZswZMgQ3L17t8rVM382OnXqhJs3b8ot/ET5fSljM7HzuQdyS/PRWK8+5neeCiUGDdz9GYlOyMTKI4EoKGaidWMDbPvLAbX15bsXU6pGlf8tpqam4PF4ePr0KbGKC2jVqhV4PB7CwsLE1gH8qHsANA8vhUL5odHR+f2sQcrKygrF+FB+T3g8Ho6EncGHnM/QVdPGEsfZ0FTVqOluUSpB6OuvWHs8CCVlbHRoVQebXLtAT/v3MjrUFFUW4X369AEApKWlYd++fSLrBJH0ubm5OH36tMi6N2/ewM/PDwwGA61a0apLFAqFQqH8LFyPvYfAzy+gzFDCwq4zYaxTt6a7RKkEj8OTsNkzFCw2F53a1sPa6Z2hpSE5vo9S/VRZhA8ePBhNmjQBAPz777/o168f8QEfPHgwsaTs2rULS5Yswblz57BlyxaMGzeOBGzS6msUCoVCofwchCa/xMXoWwCAqVajYW5kUsM9olSG2wGJ2HMhAlwuDz2sG2H5JFuoqSrXdLd+K6oswlVVVbFlyxZoaGiAx+Ph8+fPxPWkTp06+Ouvv0hVTG9vb2zatAlnzpxBSUkJAL7LyujRo6vaDQqFQqFQKN+YT7nJOBjiCQDo16o7+rRyrNkOUSoMj8fDpYfv4OEVBR4PGOTQHAtGW0FZmfrzf2+q5Yzb2NjgxIkTaNmypdi66dOnY9asWVBSUhIrVW9mZobjx4//dgFPFAqFQqH8bOSV5mPHsyMoY5ehvbEpJlmOqOkuUSoIj8fDSe/XOHv3LQBgdB9TzBzWHkpKjBru2e9JlStmCrC2toaPjw8+fPgAXV1dkXXu7u4YPnw4Hjx4gJSUFGhoaMDa2hq9evWiJZApFAqFQvnBYXPY2BN4HBnF2ainUxfu9jOgokRdF34mOFweDl95iQeh/Ix104e2w9Bu4sZTyvej2kQ4ADAYDInWcABo1qyZSOl6CoVCoVAoPz48Hg8nwi8gNiMBmqoaWOI4Gzrq2jXdLUoFYLE52HUuHIFRqVBiAPNGWqK3XZOa7tZvT7WKcAqFQqFQKL8Wd+P98SgxEAwGAwvsp6GRXv2a7hKlApSWsbHFMxSRcRlQUVbC4vHW6NKhQU13iwIqwikUCoVCoUjh1dc3OP3yKgBgfAcXWNZvV8M9olSEwmIm1p8IxttPOdBQU8bKKXboaCJe4ZxSM1ARTqFQKBQKRYwvBWnYF3gCPB4PTs3sMci0V013iVIBcvJLseZYED6m5kNHUxVrZ3SGWdNaNd0tihBUhFMoFAqFQhGhkFmE7c/+QRGrBCa1W2CGzRgwGDSDxs9CWnYxVnsEIjWrCIa66tgwqwua1der6W5RykFFOIVCoVAoFAKHy8H+oH+RWpCO2lqGWNR1JlSVaRXFn4XPX/Ox+mgQsvNLYVxLCxtndUH9OjSQ9keEinAKhUKhUCiEM6+88OprLNSV1bDEYTYMNPVruksUBYn7nIN1x4NRUMxEY2NdbJxlj9r6mjXdLYoUqAinUCgUCoUCAHj0IRB34h4BAP7qNAnNDRvXcI8oihKdkImNJ4NRUsaBSRMDrJ1uDz1tWgzxR4ZWyqFQKL8kGRkZNd0FCkWMH/m6fJuRgOPh5wEAf7YdiM6NrWq4RxRFCYlJxdrjQSgp46BDqzrYOKsLFeA/AVSEUyiUXwoej4cdO3Zg4sSJNd0VCkUELpcLFxcXHDx4sKa7IkZGURZ2BRwFh8tB50ZW+LOtc013iaIg/uFJ2HI6DCw2F53b1cPa6Z2hpUF9+H8GqDsKhUL5pVi3bh0uXrwILS0tFBQUQFdXt6a7RKEAAHJyclBSUoJDhw6hoKAAK1asqOkuAQBKWaXY8ewI8ssK0cygEeZ0mgglBrXR/Qz4PP+Ao9ejAQA9bRpj/siOUFamv93PQoV+qfz8/G/VDwqFQqky//33Hy5evAhNTU14enpSAf4DMWHCBJiamsLU1LSmu/JdkPR9a9euDQ8PD2hoaOD06dO4dOlSDfaQD5fHxaGQ0/iUlwJ9dV0scZgNDRX1mu4WRQ48Hg8XH7wjAnywYwu4jbKkAvwnQ2FL+Jo1a3DlyhX8+eef2LhxI/l83LhxVe4Eg8HA2bNnq7wfCuVHIjk5GdevX0dAQACSk5ORm5sLDQ0N1KtXDxYWFhg2bBhsbW0lbpueng5HR0cAgK2trdz/x4QJExAaGgoDAwMEBQVBSUn6jXjmzJl48uQJAODOnTto2bKlzH2vXLkSV6/yK+adOnUKXbp0kdm+PBwOB48ePcKdO3cQHR2NzMxMAICRkRFMTEzg7OyM3r17Q02tav6L79+/x44dOwAAmzZtgoWFhcj6gwcP4tChQwCArVu3wsXFpUrHo1Aqg42NDebPn48dO3Zgy5Yt6NSpE5o1a1Zj/bkScxuhKS+hoqSCRQ6zUEebFnP50eHxePj31mvcfPoeADC2rylG9zWledx/QhQW4d7e3uDxePDx8RER4eHh4VX64Xk8Hr1wKL8UPB4PBw4cwIkTJ8BkMkXWsVgsFBQUID4+HlevXoWTkxO2bt2KWrVEH3xGRkZo0qQJPn/+jJiYGLDZbKioSP67FhYWIjIyEgCQm5uL169fo3379lL79urVKwBArVq15ArwkpIS3L17lyx7eXlVSIR/+vQJCxcuRHR0tMR1nz59woMHD9CyZUts2bIFHTt2VHjf5dm2bRtYLBZ69OiBQYMGVXo/VUVg+bSzs8OZM2dqrB+/Iz/LuZ80aRJu3bqFt2/fYufOnTh8+HCN9CPw8wtce3MHADDTZixM68i+H1BqHg6Hi0NXXuFh2GcAwIyh7TCkG/3dflYUFuENGzZEQkICGjZsKLaOx+NVa6colJ+ZpUuX4ubNmwAAZWVlODk5oVOnTqhduzaKi4sRExODu3fvIj8/H48fP8bEiRNx/vx56OmJVjOzsbHB58+fUVJSgjdv3qBDhw4SjxccHAwWi0WWAwICpIrwxMRE5ObmAgCsra3lfhdfX18UFRWR5QcPHqCwsBA6Ojpyt01JScG4ceNINoj69etj0KBBaNSoEbS0tJCamgp/f39ERkbi/fv3mDRpEs6cOSP1e8oiICAAT58+BYPBwOLFiyu8PYXyPVFRUcFff/2FefPm4eHDhwgLC5M6K/at+JD9CYdD/wMADDLtDafm9t/1+JSKw2JzsPNsOIKiU6GkxMD8kR3Ry7ZJTXeLUgUUFuFHjhzBw4cP0atXL5HP//vvv2rvFIXys3L+/HkiwOvVq4cjR47A3NxcpM3IkSOxYMECuLm5ITQ0FPHx8di6dSu2bt0q0s7a2hpeXl4AgMjISKni9NmzZyLLAQEBcHV1ldj25cuX5L2NjY3c7yM4fp06dZCZmYnS0lLcuXMHI0eOlLvtpk2biACfOHEiFi9eLOZyMmvWLFy7dg2rVq1CaWkp5s+fj/v371fYNeXIkSMAgB49esi17lMoPwK9e/dG48aNkZSUhEOHDuH06dPf7dg5JXnY8dwDLA4LlvXbYnyH4d/t2JTKUVLGxpZToXgZnwEVZSUsmWAD+/b1a7pblCqisAhv3LgxpkyZIva5nZ1dtXaIQvlZKSoqwu7duwEAqqqqOH78OExMTCS2rVWrFg4ePIj+/fsjJycHN2/ehJubG+rVq0faCIvkyMhITJo0SeK+nj9/DgCoW7cuMjIyEBkZieLiYmhpaYm1FRbh8izhKSkpCA0NBQBMnjwZt2/fRmxsLLy8vOSK8JycHOJ33qhRIyxbtgzKysoS2/7xxx+Ijo7GhQsXkJqaitu3b2P4cMVFQUpKCl68eEH2RaH8DCgpKeHPP//E3r17ERoaiq9fv4r8/78VTA4Lu557ILskFw1168Gt8zSZMSSUmqegmIn1J4Lx7lMONNSUsWpKJ1iY1K3pblGqAfrPo1CqCR8fHxQWFgLgW7ulCXABBgYGGDFiBAB+8KKfn5/I+mbNmqFOnToAQHy+y5OYmIjk5GQAIPtisVhEPJdHsB8tLS0xC315rl+/Dh6PByUlJQwZMgTDhg0j+0hMTJS5bVJSEjgcDgDAwsJCqgAXMHDgQPJeIKgV5datW+DxeNDW1ka3bt0qtK0wgmwWXbt2BcAX9xs3bkSfPn3QoUMH2NjYYPz48fDx8RHbtmfPnmKZMEJDQ8lnPXv2lHrcu3fvYtq0abCzs0O7du3g5OSEhQsXyjwPguMNGjQIxcXF2LdvH/r164d27dqJDN4OHjxI+lBUVITk5GSsX78effv2RYcOHWBnZ4cJEybgxo0bCp2j/Px8/PPPP3BxcYGlpSU6dOiA3r17Y+XKlYiKilJoH/IIDAzEkiVL0KtXL3To0AGWlpYYMmQIdu7cibS0NKnn4nudewG5ubnYtWsX+vfvT87l+PHjceXKFXC5XIW+q5OTEwB+/nBvb2+FtqkKPB4PR8POIj77I7TVtLDEcTa01GhJ8x+Z7PxSLD/8HO8+5UBHUxWbXLtQAf4L8c3yhEsLuKSBmL8XHC4Pbz5kITu/FLX0NGDeojaUlX7N3//x48fkvUCwymPUqFFo0oTv09eqVSux9dbW1vD19cXXr1+RmpqK+vVFpx+FXVFGjBiBK1euICMjA8+fPycPeAGFhYVISEgAAFhaWsoUxjwejwgze3t7GBsbY9CgQdi5cyfYbDa8vLywcOFCqdsLu5NkZWVJbSegdevWcHNzAwA0bdpUbnthBIMXS0vLKmdYEfDw4UMsXrwYxcXF5LOysjKEhYUhLCwMr1+/xtKlS6t0jJKSEri7u8Pf31/k89TUVPj4+MDHxwdTp06VeZzi4mKMHz8er1+/Jp9paGhIbHv9+nXs2LEDZWVlIt8pNDQUoaGhePDgAfbt2wdVVclFPqKiojB79myS3UZAUlISkpKScO3aNUyZMgVLliyp1D2+uLgYixYtEhuMAsC7d+/w7t07XLlyBYcOHaryDGxVz/27d+8wbdo0keqXwteHj4+PSCyFNMzMzFC/fn2kpqbi4cOHmDFjRpW+lzxuvX2AZ59CocRQwt9dZqC+rtE3PR6lanzNKsKao0FIzSpCLT11bJjZBU3r68nfkPLTUG0inMfj4fLly7h69SpiY2Ph4eEBBwcHsXYuLi7gcrmYOnUqhg4dWl2Hp/yABEZ9wbEb0cjKKyWf1dbXwMxh7dGlQ4Ma7Nm3QZABRE1NDW3btlVom0aNGhELtiRsbGzg6+sLgG+BLi/CBa4oJiYmaNCgARwcHEhaxPJERUURC508V5SwsDAkJSUBAPmf1qlTB127dsWTJ09w8+ZNuLu7S53GbtmyJfT09JCfn4/Q0FAEBgbKzKpiYGCAOXPmyOyTJJhMJt6+fQsAYikJK0teXh4WLFgAHo8HFxcXWFlZgclkIjg4GPfv3wcAnDx5Es7OziQAdu3atSgpKQEAMpho1aoV5s2bBwDQ1BS1NnI4HEydOhUREREA+L9H//79YWhoiE+fPuHy5ctIS0vDyZMnYWxsjMmTJ0vsa0pKClJSUtCsWTMMGzYMDRs2BJvNlth248aNUFdXJ99JSUkJL168wK1bt8Bms/Hw4UNs374dq1atEts2KioKEyZMQGkp/7/co0cPODk5QUNDA69fv8a1a9dQVFSEkydPgsViSdyHPP766y8EBgYCAJo0aYLhw4ejQYMGyMzMxL179xAdHY28vDzMnTsXvr6+MDQ0BPD9z31ubq6IADcxMcGwYcNQt25dfPnyBTdv3kRwcLDC37tDhw5ITU1FbGwsWCyW1EFQVQn/Eo3zUTcAAJMtR6C9sdk3OQ6levj0NR9rjgYiO78M9WprYeOsLqhXW7umu0WpZqpFhBcXF2Pu3LkICgqSa+lms9lISEjAsmXL8OzZM2zfvl3uVDXl5yMw6gu2ng4T+zwrrxRbT4dh+STbX0qIM5lM8lBu3LhxtV3Twq4FERERcHb+fylpJpNJ3E4EbhgCEf7hwwcxy7mwS4u8oMzr168D4Lut9O3bl3w+bNgwPHnyBGlpaXj+/LlU9w9VVVVMnz4de/bsAZfLxaxZszBjxgxMmjQJ+vr6in59ubx7945khqmuXMssFgv6+vo4ceKESDDsuHHjsHfvXnh4eAAAbt68SUR49+7dxfZTq1Yt9O/fX+IxTp48SUSgq6sr3N3dRdZPmDABEyZMwLt377Bv3z64uLiIZc8R0KNHDxw4cEDuLICBgQFOnjwpMkD8448/4OLigunTp6O0tBTnzp3DmDFjRIJbmUwmVqxYgdLSUigpKWHHjh0YPHgwWT9s2DBMmjQJEydOREpKCs6cOQMnJyeJRhhpPHz4kAjw7t274/DhwyJidOrUqXB3d8e9e/eQl5eHa9euYfr06aR9eb7lud+/fz/5rw8aNAjbt28XSR86bdo0LF++XGH3ktatW8PX1xdlZWWIj4+X6yZWGZLyvuBA0EnwwEPvFg7o10r8nFF+HOI+52Dd8SAUFLPQtJ4uNszqglp6kme4KD831eITvnz5cgQGBpJUhcbGxlIftIIHJY/Hw+3bt7Fr167q6AJFDjweD6Vl7O/yKiph4dh18bzQwhy7EY2iEtY378v3Sp9ZUFBA3ldnlUYzMzOSDrC8X3hYWBixAArEcNeuXYl1urw1XBCUqaqqKtNqXFRUhHv37gEA+vbtK2JJ7NWrF+mPQKhLY8aMGaQgDpPJxOHDh9GtWze4u7vjzp07Iuessgis4AAkpk+tLOvXr5eYjWbq1KnkvbALSEUoKysj2VwsLCwwf/58sTb6+vpYvXo1AL7rxO3btyXuS1NTE5s2bVLIDWfp0qUSZ2hsbW3JLASXyyWFmQTcuXMH8fHxAIDx48eLCHABjRo1wt69e4kBRvD9FOXjx49o3bo1WrdujQULFohZg5WUlDB37lyyXFn/86qe+8LCQuKmVadOHWzYsEEsf7+qqio2b96s8PUo7IYWGxtboe+jCAVlhdjx7AhK2KUwr9sa/2PvzsOiLNv/j7/vYVc2EVHcN9xXXBCF1MxSMzNTU3MrlzTLykrrecrqaTHLbM99KTNTMzXXzB0FVDZFcd9AQfZF9mHm/v3Bl/lJKoIzMCzn6zg8jmnmXj6QwjnXXNd5vej5nEwJLcdOXoznvcVHuZ2ppWXDGsyb4SMFeCVm9Eh4YGAgf//9N4qi4OjoyLx584pcCPP9999z7tw5Xn31VaKiovjll18YNmwYHh4exkYR96GqKnN+OMLZa0nmjmKQmJrNqPd2lvp9Wjd2Yf4rPqX+S6fgY3rgvgVRYmIiJ07c/elAgXr16t3V31uj0dC5c2f8/Pw4d+4cWVlZhqK4YCqKvb29YXpJjRo1aNu2LeHh4Rw9epThw4cDhTfpadeu3X3nDUN+b/CCudD/nttuY2PDgAED+OOPP9i7dy+pqan3fcOt0WiYN28e3bt3Z+HChcTFxRlaHO7cuRMrKyt8fHx47rnn6NOnz0P9P0pOTjY8NuWbn4EDB97zeScnJ5ydnUlJSSl075Lw8/MzzBceNWrUfT816dKlC3Z2dmRlZREcHMzo0aPvOsbFxcWwePdBiioKR40axffff49WqyUgIKDQawWbNSmKUuhNyL917NgRb29v/P39CQoKIi4uDje34s05njx5smFk+36aNGlieFzQ676kjP3enzhxwvBvY8iQIVSvfu/pATY2NtSrV4+bN28+MNOdG3UlJZn2Z3SeXsdC/2XEZiTgVr0ms3pNxdKi1JaCCSMFno7hizVBaPP0dPRw5b8veGFnI/+/KjOj/+9u3LgRyP+Fu3Tp0mLNy2zVqhXffPMNw4cPR6/Xs2HDBv773/8aG0UIsynOiPv58+cNc1bv5ZlnnuHzzz+/6/lu3brh5+dHXl4ep06dwsvLC/j/izJ79epVaDTO19eX8PBwAgIC0Ov1aDQarly5QmpqKvDg+eAFI9zu7u6Ge91p6NCh/PHHH+Tm5rJ9+3aef/75Iq/3zDPPMGjQIHbs2MHmzZsJCgpCr9ej1Wo5cOAABw4coG3btsyfP7/Eb8YLvia4e+5vaalevTopKSl37YZaXHe+EUtPTzd86nAvNjY2ZGVlce3atYe6V3E5OTnRokULzpw5w6VLl9DpdIYCNTg4GICmTZvetSbh33x9fQ3TSsLCwgpNZSqJ7OxsLl++TGJiIllZWXf9+3rYT7iM/d7fOVJdnM2uiuPOQt4Unw7daXXIBs7EXcDW0obZPtNxtHnwJlvCPPYHRfLt+jD0ehXv9u68PbYLVpYyVbeyM7oIDw0NRVEUfH19S7Qwqm3btvj4+ODn53fXyIswLUVRmP+KDzm5ujK535kriXy4/MELkz6c3IO2TWuWahYba4sy+ej1zo/P7xwVN4U7f9mHhobi5eXFrVu3DFME/j0v28fHh59++onk5GTDFvZ3TmUpame+qKgoQ6Hy1FNP3XPhZdeuXalfvz43btxg8+bNDyzCAcOCwGHDhpGQkMD+/fvZtWsXgYGB6PV6zpw5w/Dhw1m0aFGRCzj/7c6ipaJ8xB4XF2d4/OmnnxbrHFMXZ/dSv359zpw5g1arJT09HScnJzIzMw33Lk7XmjuPuXXrVokzBAYGsnz5cgICAu67wNQYxn7v7+z0U79+fZNkunP32TvfVBrr74uH2HP5MAoKM3u8QENn003XEqa1ze8KS7fkT+Hs160Br47ohIWFdJCuCowuwgvaVbVr167E57Zq1Qo/Pz+io6ONjSEeQFEUbMvoY61OLd2o6WRbqCvKv7k629GppVulaVd458Kt+01T6NmzJ+fPny/03LFjxxg/fnyR1+7QoQPW1tbk5uYaiumCUXBFUe4qwjt16mToTFKwhX3BfHCNRoOnp+d971XQGxzy58OuXr36nse5ublx48YNwsPDuXjxYolGsF1dXRk5ciQjR47k2rVrLFiwgH/++Yfs7Gxef/11du/eXegj+qLcWXgX9CUv7x5mykHB4tPSZGNjY3icmZmJk5NToaLwzmLxfu78NKKgZ35x3bnotbQY+70vWIMB3HMzrIdx55QYU61hOR17jlWhGwAY3eFputYzTecgYVqqqvL7Pxf47e/8tS1DHmnKpKfaoakkvxfFgxldlRWMlD3ML4mCcyvKCJYoHguNwtSh7e/ZHaXAlKfbVZoCHPKLDzc3N+Li4rhx4wbp6enFKlqKw9ramg4dOhAUFERYWBiqqhqK8NatW98179bCwgJvb2/+/vtvwxb2BUW4h4fHfbts3NkbHGDNmjXFyvfnn38+dM/sxo0b88MPPxgWa6ampvLnn38+cH5wgTu/ljt7epdnd64ZOHXqVKHi15zu/P4VrBm4c6rEnf3F7+fO3tgl6YKzZ88eQwFuZ2fH+PHjefTRR2ncuDEODg6GQvXODXkehrHf+zsL74edjvRvdxb2pugcdCs9noX+y9GrenwadefpVg83JUiULr1eZcVfp/nL7woAzw9oxXOPtZB6qIox+vOOgjmCp0+fLvG5BefUrl3b2BiinOnZoS7vTuhGTafCCwBdne0qXXvCAgXTRu4skk2loKVgSkoKN27cMPQhvl+LwIL2cKGhoaSmpnL58uVC17mXwMDAYi0k+7dt27bdNXXgu+++4+uvv2bZsmXFusbYsWMNj0vSdeTOxZgVpQi/c5T/Yb7fpSUyMhLIn1pV8H11cHAwFJ4FfeOLcudOqsVdlAn//w2foiisXr2aWbNm0alTJ5ydnU3awtbY7/2di2BN9QnunUX4/d4gF1emNov5fj+RnptBM5dGTOv6vBR15ZBOp+e7DaGGAnzq0PaM6t9S/l9VQUaPhHfr1o2rV68SEBBAWFgYnTp1KtZ5p06dIiAgAEVR7rn4S1R8PTvUxaude5XZMXPgwIGGThJr1qy5b4eNh3HnvPB9+/YZpgncq0cy5C+Qg/xPqLZv327YpKeoIrxgQaaiKBw4cOCBi/CWLl3KV199RXx8PH5+fvTt29fw2oYNG4iPj8fKyoqxY8c+cNGks7Oz4XFJ5j/XrPn/1xTcuXthedauXTvDJw5HjhyhadOm5g1E/hSqK1fyC4JmzZoZFvoqikKnTp3w9/fnwoULJCQkFNmNpWB9j0ajKdEaoYiICCB/imJxf4c8DGO/93f28A4ODr7vm+CSiI2NNTy+8+9zSen1er4LWMnNtFvUsHPibZ9pWFuaZgdZYTq5Wh1f/hpE4OlbaDQKrz3XiUe7NjR3LGEmRo+Ejxw5Esgf/Zs2bdo9d+r7t2PHjjF9+nT0ej2KohjaqInKx0Kj0L65K70969O+uWulLcAhv4d2QR/84OBgfvvtN5Ndu2CHQ4BNmzYB+YXr/QoWd3d3w4YrBcfD/Ts6pKenG3aD7Ny58wMLcKDQxkF//vlnode8vb2B/DcBd97/fgqmy0DJ+n23bt3a8Li0O4gUV8H/p4I3Pv/Wp08fw+ju6tWri5w7ffnyZZMtXI+Jibnvaxs3bjR8mvHvTXYK3kzm5eWxatWq+14jIiLC8AlNly5dSjQSXnDvoj7NuLMn/P2U9ve+W7duhfrk328RdlZWVrE+OYDCI+rGbNTzW/gWQmJOY2Vhxdu9puFi5/zQ1xKlIysnj/+tCCTw9C2sLDW8O6GbFOBVnNFFeLt27Zg4cSKqqpKamsrkyZMZOXIkP/74I7t27eLo0aMcPXqUv//+m8WLFzNmzBgmTpxIYmKioQAv7hbfQpRnlpaWfPTRR4Zf8p988glr1qy572KrpKQklixZYvjvoj52t7e3p1Wr/G2mL1y4AOQXS/fbNh7+/2h4wfSOBg0a3Hfq165duwwfi99ZXBelfv36dO7cGYADBw4UWpA6depUQ8eY+fPns3Xr1vte58KFCyxcuNDw308++WSx7g/5c9wL5vneORXCnAqKz8jIyHsuFm3QoIHhe3zz5k1ef/31QnOpC5w7d47JkyczZcoUwycsxvj888/vuRlMUFAQP/30E5D/d/DZZ58t9PrTTz9teGO0atWqe2aJjY3ljTfeMBS/M2bMKFG2goW9kZGR95zKdf78+UKb9dyvWC/t772dnZ3h+xMbG8sHH3xw130Kdhgt6k3Pv+8F+fPw79y4pyQOXQ3kr3P/ADC92zia12z8UNcRped2Zi7vL/bn5MUE7Gws+HBKD3q0e/Bgh6jcTNIuY86cOcTExPD3338DEB4eTnj4/XdMLChK+vTpwwcffGCKCEKUCz169GDu3Ll8+OGH6HQ6PvnkE9avX8/jjz9Ow4YNURSFpKQkwsPD2bdvn2EkrV69eoWKjHvp0qWL4WN7uP988AI+Pj6FupsUZyqKRqO573bf9zJo0CBCQ0PRarVs27bN0OnFw8ODhQsX8sYbb5Cbm8vs2bNZtWoVffv2pVGjRlhZWZGUlERwcDB79+41LOx+9tln6d69e7Hvb2VlRZs2bQgLCyMoKKjY55Wmli1bcuvWLeLi4pg6dSpeXl6oqspLL71kOOb9998nLCyMqKgo/Pz8GDhwIM888wzNmjUjPT2dkJAQdu/ejVarxcnJySQDFcnJyTz33HMMHjyYzp07Y2FhQVBQEFu3bjWMRI8fP/6uKRo2NjZ88cUXTJw4Ea1Wy+uvv862bdvo3bs3tra2nDt3jk2bNhmmSI0ePdrwSUhxjR8/nrfffhtVVZk+fTrDhg2jY8eO5OTkEBQUxJ49ewot/r/fZj1l8b1/9dVX+fvvv7l16xZbtmzh/PnzPP3009SsWZObN2+yZcuWEn0qU7D7Z5s2be7afbM4LiRcYUnQWgCeaT0An0b3b0EqzCMxNYu5SwOIvHUbh2pWfDjFmxYNa5g7ligHTFKEK4rCt99+y5YtWwxzRIvi6urKtGnTCi3GEqKyGDVqFO7u7rz//vvExsZy8eJFQ0/ve3n88cf5z3/+88ApIF27djUsYNNoNIaR7vvp3r07tra2hkL/flNRrl+/btiQpVu3btSqVavI695p4MCBzJs3D71ez+bNmwu1W3z88cdZtWoVH3/8MRcuXODs2bP33Zbb0tKSiRMn8uabbxb73gX69+9PWFgYN27cICoqigYNGpT4GqY0depUDh06BOTPOz5y5Aj16tUrVAg6OTmxdu1aZsyYQXh4OLGxsfdsz1evXj2++eYbGjY0/iPrcePGsWHDBjZt2nTPKUL9+/fnrbfeuue5Xbt2ZenSpbzxxhukpKSwb98+9u3bd9dxU6ZMeaj/h0OGDCEiIoJVq1ah1WpZv34969evN7yuKArTpk1j69atxMTEEB0dTUpKSqG1BFA233sHBwdWrFjBCy+8QFxc3D3/Xnt6euLk5MSBAweK/LpjYmIMi6afeOKJB3+j/iUhM4kvjy4hT59H13odea79UyW+hihdtxIzeH+JP7cSM3FxtOV/L3nTqI5xC3BF5WHSxtFDhw7l6aef5vjx4/j7+xMTE2PY3MDR0ZGGDRvi6elJz549C21uIkRl07t3b/755x/++usv9u3bR0REBElJSVhaWuLi4mLYjbJfv37FHuW8cyS7ffv2D+ylbWNjQ9euXQ3b299vJPzO+dzFnYpSoFatWnh5eREQEEBERATnzp0zTJuB/DcCmzdv5tChQ+zdu5dTp04RHx9PZmYm9vb2NG7cmO7duzNs2DDDfPqSeuqpp/jqq6/Q6/Xs27ePiRMnPtR1TKVr166GntdXrlzBxsam0Nz1ArVr12bDhg1s376dnTt3cvr0aVJSUnBycqJhw4YMHDiQYcOGmazVZf/+/ZkwYQIrVqzg6NGjxMbGYm1tTcuWLRkxYgRDhw4t8vyePXuyZ88e1qxZw/79+4mMjCQ7O5tatWrRtWtXnn/+eaMWVb7zzjv07NmTtWvXEhYWRkZGBi4uLnTv3p0JEybQvn17LC0tDW8Yr1+/flcRXlbf++bNm7N9+3aWLVvGP//8Q3R0NLa2tnh4eDBkyBBGjBjBvHnzHvg179+/H8ifBjR48OASfb9y8nL58shiUrPTaOhUj1e9JqJRZIOX8uR6TBpzl/qTlJZDnZrV+PilntSpWf3BJ4oqQ1FNtTuAKLF+/foB3HNESQhRfJMmTeLIkSM0a9aMnTt3mjtOufH999/zww8/APDLL79IJ6pyZtiwYZw5c4bevXuzdOnSYp+nqirfBKwgICoYBxt75vV/B7fqpbv7sCiZ89eT+HBZIOlZWhq7O/LRVG9cHG0ffKIol0qrXiubLRTNJDY2lj179uDn58e1a9dITEykV69efPfddw88NzAwkI0bNxISEkJiYiJWVlbUrVsXHx8fJkyYQJ06dcrgKxBCFMfMmTM5cuSIoaNFSeckC1HWgoODOXPmDIqiMHPmzBKduyliFwFRwVgoGt7sOVUK8HLm5IV4Pll1jOxcHS0b1eCDyT1wqCbtIsXdSq0Iz8vLIyoqitTUVFRVxc3NDTc3tzKZhpKbm8vixYtZsWLFfVtIFeXjjz/m119/LfRcTk4OFy5c4MKFC/z+++98/fXX9OnTx0SJhRDG6NixI4MGDWLnzp18++239OjRQza+EOXaV199BeRPp2rXrl2xzzt2I5QNp7cBMKnLaNq4eZRKPvFwAsKj+WJNMHk6PZ1a1OI/E7tjZ1OpxzuFEUz6N0NVVXbv3s369esJCwu7a5tjS0tLevXqxVNPPVWiNmQlkZ2dzYwZMwzzYC0tLenZs6ehb+2DNmdYsWKFoQB3dHRkxIgRtGzZkszMTA4ePMjBgwfJzMzk1Vdf5a+//qJJkyal8nUIIUrmrbfe4tChQ4SGhvL7778zevRoc0cS4p42btxIcHAw9vb2zJo1q9jnXUuO4ofA1QAM9OjLY818ij5BlKl9JyL5bn0oehW827vz9tguWFmabsdXUfmYrAi/ceMGb775pqHd0r2mmmu1Wg4dOsShQ4f47bffmDdvnklW/d/p3XffNRTgvXv35oMPPij25h9paWmGfrkuLi5s2LChUKeF0aNHs3z5cr788ktyc3P5+uuvizW1RQhR+urVq8eHH37I22+/zbx582jdunWp7r4oxMMICQnh448/BvI/dS3OxlgAqdlpfHFkMTm6XDrUbs34Ts8++CRRZv46fJllW08D8Fi3hrwyoiMWFrJQVhTNJH9Dbty4wejRozl16hSqqqKqKhqNhkaNGtGpUyfat29P3bp1AQyvBwcHM2bMmEJb9hrr4MGDhkVZw4YNY8mSJSXafW///v2GHdSmT59+z1ZnkyZNokWLFobjS7LFthCidA0ZMoQZM2aQk5PDpEmTitwRUYiylpCQwKRJk8jJyeH1118vdjcirU7LgqNLSchMwt3ejdd7TsJCIyOs5YGqqvz29zlDAf70I814dWQnKcBFsRg9Eq6qKjNnzjT0Bndzc2PGjBk8+eSTd7V3SklJYefOnSxZsoTY2FgSEhKYPn06f/zxR5E7/xVXwSh2o0aN+Oijj0o8J/To0aOGxwVbNf+boigMGDCACxcuoNVqCQkJoXfv3g8fWghhUjNnzqR69eps2bLFZO39KqpXX32VV1991dwxxP+pWbMmrq6ujB8/nnHjxhXrHFVVWRa8jvMJl6lmZcds3+nYW0ubu/JAr1dZtjWc7Ufyd+sdO6AVIx9rIetRRLEZXfnu2rWLiIgIFEWhY8eObN++neeee+6ev/ycnZ0ZM2YMO3bsMGx3ffbsWXbs2GFsDC5fvszJkyeB/A0jCrayLuk1IL/3cVEbltzZ1/nSpUslvo8QonRNmjSJdevWmTuGEIUoisLmzZuLXYAD7Liwn4NXA1AUhde9J1HPUTpzlQc6nZ5v14caCvCXnmnPc/1bSgEuSsToInz37t0A2NnZ8d133+Ho+OCdoOzt7fn222+pXj3/3bwpivCCXdIURaF///7s37+fadOm0atXL9q1a4ePjw+vv/46YWFh971GTEwMkL+RQ1HubE+YkJBgdHYhhOlV9VFwUT6V5O9lWEwEa07m7246ruOzdHIv3sZeonTlanXM+/kE+4Oi0GgUZo3xZLBP0U0fhLgXo4vw8PBwFEWhb9++Dyxe7+Tm5kbfvn1RVZXTp08bG4MzZ84A+aPYn376KdOnT+fAgQMkJCSg1WqJj49n165djBo16r6bImRkZABga1t0Q/1q1arddY4QQghhKtFpt/gmYDmqqtKniTdPtnjU3JEEkJmt5aPlgRw7cwsrSw3/mdCNvl3uXj8mRHEYPSe8YFv6h2nVV7BNdUpKirExuHDhAgBxcXH89ddfaDQaBgwYQNeuXbG1teXo0aPs3LkTVVX56quvqF+//l2LYgpaKj5ofvqdr2u1WqOzCyGEEAXSczOY77eITG0WLWs2ZUqX0TLNoRxIy8jlw2UBXIxKwc7Ggvde9KJD8/tPXRXiQYwuwi0tLdFqtWRmZpb43IJzCqalGCM5Odnw2NnZmWXLltGhQwfDc88++yx9+vTh7bffBuCzzz7jsccee6i543e6VyvGOxVsdXovMTExxW5PJYQQovLT6XV87b+cmPQ4XKu58KbPS1hZlP4md6JoialZvL8kgKjY2zhUs+ajqT3waFDD3LFEBWf0dJRGjRqhqiqBgYElPjcgIACgRG0E7+fOaSHfffddoQK8wJAhQxgwYAAA8fHxHDhwwOj7CiGEEKbyS9gmwmPPYWNhzWyfaTjbPnidlShdMQkZzP7hCFGxt6npZMvnM3pJAS5MwuiR8F69enH27FnOnj3L5s2beeaZZ4p13ubNmzl79iyKouDr62tsDMOoetu2bfHy8rrvcSNGjDAsJg0KCuKJJ54w6r4P+ohw3759932tqFFyIYQQVcu+y0fYdTF/cOiVHhNpXEPmGpvbtZg05i7xJ/l2Du41q/PxtJ7Udqn24BOFKAajR8LHjBmDlVX+R2Xvv/8+P//88wOnaPz888+8//77ANjY2DBq1ChjYxjmad+5aPJe7mwvePPmzUKvFXwdD5rnfefXZ2dnV6KcQgghxL9FxF1kecjvAIxsNxiv+p3NnEicu57Euz8eIfl2Do3dHZn/io8U4MKkjB4Jr1u3Lu+99x4ffPABOp2Ozz//nFWrVvHYY4/Rpk0bXFxcsLCwIDU1lTNnzrBnzx6io6NRVRVFUZg5c6ZJ5kU7ODiQmpr6wB3yHBwcDI+zs7MLvVa9enVSUlIeOL/9ztdNMZ9dCCFE1RWXkchX/kvR6XV4N+jCs22Kt5OmKD1hF+L4dNVxsnN1tGpUgw8m98C+mnFryIT4N6OLcIDnnnuO2NhYFi1ahKqqxMbGsnbt2vseXzCSPHXqVF588UVTRMDd3Z3U1FQiIyMNBf693Fmk/7tfq5ubGykpKURHRxd5r1u3bhke161b14jUQgghqrIsbTZf+C3idk46TWo04OXu46UTipn5n4rmy1+DydPp6dyiFv+Z2B1bG5OUS0IUYvxe8f9n5syZrFmzhubNm6OqapF/PDw8WLJkCW+88Yapbk/Hjh2B/AWaoaGh9z0uIiLC8PjfbRVbtGgBwO3bt7l69ep9r3H27FnD4+bNmz9UXiGEEFWbXtXz/bHVRKbexMnWkbd9pmFjKaOt5rT3+HXm/3KCPJ2eXh3q8v4kLynARakx6d+srl27sn37dkJCQvD39+fSpUukpaVhYWGBk5MTzZo1w8vLC09PT1PeFoAnn3yS9evXA7BixYr73mPTpk2Gxz169Cj0mre3N9u3bwdg27ZtzJw5867zVVVl586dQP5IekHxL4QQQpTEhtPbCLp5EkuNJW/3egnXai7mjlSlbTl0mRV/5W8e2L97Q2aM6ISFRj6VEKWnVN7eeXp6lkqhXRQvLy86depEWFgYe/fu5ZdffmH8+PGFjtm9ezc7duwAoFmzZncV4f379+ezzz4jIyODVatW0a9fv0ILOQFWr17N+fPnARg0aJDRfcaFEEJUPUeun+DPiPxOXS91fZ4WrrLtubmoqsrav8+x/p/8Tf+G9m7Gi0+1lWlBotRVqs9YPvvsM0aMGEFGRgaffvop/v7+9OvXD41Gg7+/Pzt27EBVVSwsLPj444/v+gfm5OTEK6+8wvz588nMzGTMmDGMGDGCdu3akZuby4EDB9i/fz+QPwr+yiuvmOPLFEIIUYFdSrzGohNrABjSqj+9m/R4wBmitOj1Ksu2hrP9SP4U1HEDWzOin4cU4KJMmLUI//HHH/nzzz9RFIW9e/cafb1mzZqxYsUKZsyYQWJiIgcOHLhrQx47Ozu++OILunTpcs9rvPjii0RHR7NmzRqys7NZs2bNXcc4Ojry448/Urt2baMzCyGEqDqSslL48uhitDotnu7tGNN+qLkjVVl5Oj3frg/lYPANAKYN68CTvZo84CwhTMesRXhqaio3b9406TvOzp07s2vXLn7++Wf27t1LVFQUqqri7u6Or68vL774InXq1CnyGu+99x79+/dn/fr1hISEkJiYiLW1NfXq1aN3795MmDABV1dXk2UWQghR+eXm5fLlkcUkZ6VSz7EOM71fNOxxIcpWrlbHF2uCOHbmFhqNwhujOtOni2yOJMpWpZqOUsDJyYmZM2fec2FlcXl5eRW586YQQghRXKqqsvjEr1xOuo69dXXm+EynmpVs9mYOmdlaPll5nPDLCVhbapgzoRvd2xQ9OCdEaaiURbgQQghRnmw9t4cjkSfQKBpm9ZxMHQc3c0eqklLTc/hweSCXolKws7Hk/UletG8mn2wL85AiXAghhChFQTdPse7UVgBe6DySdrVbmTlR1ZSYmsX7S/yJik3HoZo1/5vqTfMGzuaOJaowKcKFEEKIUhKZcpPvAleiotK/mS9PePQ2d6QqKTohnfeXBBCXlElNJ1s+fqknDWo7mDuWqOKkCBdCCCFKQVpOOvOPLCI7L4e2bi14wfM5c0eqkq5GpzJ3aQApt3Nwd63OJy/1xM2lmrljCSFFuBBCCGFqebo8Fh5dSnxGIrWruzKr5xQsNRbmjlXlnLuWxIfLA8nI0tKkriMfTfWmhoOtuWMJAUgRLoQQQpiUqqqsDN1ARPxF7Cxtme07HQcbe3PHqnJCzsfx2erj5OTqaN3YhbmTe2BvZ2XuWEIYSBEuhBBCmNDflw6x97IfCgozvV+kgVNdc0eqco6ejGbB2iDydCqeLd14d0I3bG2k5BHli/yNFEIIIUwkPPYcq0M3AjCmw1C61G1v5kRVzz/HrvPDxjD0KvTqWJc3x3TBylI2RRLlT7GL8HfffdfkNw8PDzf5NYUQQghziLkdx0L/ZehVPY808mJIq/7mjlTlbDl0iRV/nQHgca9GvDy8IxYa0+3KLYQpFbsI37x5s0m3lxdCCCEqi8zcLL7wW0RGbiYeLo2Z2u15+Z1ZhlRV5dfd59iw9wIAw/o0Z+LgNvL/QJRrJZqOoqpqaeUQQgghKiS9Xs+3gSu4efsWLnbOvOUzDWsLWQBYVvR6laVbwtlx9CoA4we1ZvijHlKAi3Kv2EX4K6+8Upo5hBBCiArp11ObCY05g7WFFbN9plHDzsnckaqMPJ2eb38P5WDIDRQFpg3rwKCeTcwdS4hikSJcCCGEeEgHrwaw/fxeAF7uPp6mLo3MnKjqyNHqmP/LCU5ExGKhUXhjtCe9PeubO5YQxSbdUYQQQoiHcD7hMkuDfgNgWJuB9GzY1cyJqo7MbC0frzzG6cuJWFtqeGdCN7q1qWPuWEKUiBThQgghRAklZCSx4MgS8vR5dK/XiZHtBps7UpWRmp7Dh8sCuHQjFTsbS+ZO8qJdM1dzxxKixKQIF0IIIUogOy+HL44sIjXnNo2c6vGK1wQ0ivShLgsJKVm8v8SfG3HpOFa35qOp3jSv72zuWEI8FCnChRBCiGLSq3p+OvYL11Ju4Ghjz2zf6dha2Zo7VpUQHZ/O+0v8iUvOwtXJlv+91JMGtR3MHUuIhyZFuBBCCFFMm87sJPBGCBYaC97q9RK1qtc0d6Qq4Wp0KnOXBpByO4e6rtX5+KWeuLlUM3csIYwiRbgQQghRDIFRIWw8swOAKV1G06pWczMnqhoiribyv+WBZGTn0bSuEx9O7UENB/n0QVR8UoQLIYQQD3A1OYofjq0GYFCLR3m0aS/zBqoiQs7F8enq4+RqdbRu7MLcyT2wt5ONkETlIEW4EEIIUYSU7DS+OLKIXJ2WjnXaMK7jMHNHqhKOnLzJV2uDydOpeLZy490J3bC1lrJFVB7yt1kIIYS4D61Oy4IjS0jMTMbdwY3XvSdhobEwd6xK7+/A6/z0Rxh6FXw61mXWmC5YWUoHGlG5SBEuhBBC3IOqqiwLWseFxCtUs7Jjjs90qlvLYsDS9ueBS6zafgaAJ3o0YvqzHbHQKGZOJYTpGV2EnzhxAoAGDRpQp07Jdqvy9/cnLi6O2rVr4+3tbWwUIYQQwmS2n9/HwWsBKIrCGz0nU9dRdmQsTaqqsmbXWTbuuwjAs32bM+HJNiiKFOCicjK6CB83bhyKojBr1iymTJlSonP/+usvtm7dSuPGjdm1a5exUYQQQgiTCI05za+n/gRgQqfhdKzTxsyJKje9XmXx5lPs8r8GwPhBrRnRr4V5QwlRysw6HUWn06GqKtHR0eaMIYQQQhjcSIvhm4AVqKrKo016MtCjr7kjVWp5Oj3frAvlUOgNFAWmP9uRgd6NzR1LiFJnliI8Ly+P0NBQDhw4AICFhSxyEUIIYX7pORl84beILG02rVybMbnLaJkOUYpytDo+//kEQWdjsdAozBrjySOd65s7lhBlokRF+A8//MCPP/541/OqqrJw4UIWLlxY4gCKotC+ffsSnyeEEEKYUp5ex9cBy7iVHk+tai682WsqlhbSv6C0ZGRp+XjlMc5cScTaUsO7E7vTtXVtc8cSosyU+KeLqqooioKqqnc9/zCsrKx47bXXHupcIYQQwlR+Cf2D8Njz2FjaMNt3Ok62juaOVGmlpufwwbIALt9IpZqtJXMn9aBt05rmjiVEmXqot/gPW3AXUBQFZ2dnunXrxksvvUTbtm2Nup4QQghhjL2X/dh96SAAr3pNpJGzTIkoLfHJWby/xJ+b8ek42Vvz4RRvmtd3NncsIcpciYrwGTNmMH36dMN/q6pKu3bt8ts3vfEGkyZNKtZ1ZA64EEKI8iIi7gIrgn8H4Ll2T9G9fifzBqrEbsan8/4Sf+KTs3B1tuPjl7yp7+Zg7lhCmEWJinBFUe5bQBf1mhBCCFEexabH89XRpehUPT0bdmVYm4HmjlRpXbmZygdLA0hJz6Ferer876WeuNWQzY9E1WWSFSfGTk8RQgghylqWNpsvjizmdm4GTWs0ZHq3cdIJpZScuZLIxysCycjOo2k9Jz6a4o2zg425YwlhVkYX4b/88guQv2OmEEIIURHoVT3fB64iKjUaZ1tHZvtMx8bS2tyxKqXgc7F8tvoEuVodbZq4MHdSD6rbWZk7lhBmZ3QR3r17d1PkEEIIIcrM7+F/ERR9CiuNJW/7TMOlmrO5I1VKfqE3WbgumDydSpdWbrwzoRu21tL2UQgw8WY9Wq2Wc+fOcevWLTIyMkp07tChQ00ZRQghhLgnv2vH2XL2bwBe6jYWj5pNzJyocvo78Bo//nESVQXfTvV4Y7QnVpYac8cSotwwSRGenZ3NN998wx9//FHi4hvyF3VKES6EEKK0XUq8xuITawB4utXjPNLYy8yJKqdN+y+yekcEAAO8GzNtWAcsNDLfXog7GV2E5+bmMnHiRE6ePCkLNIUQQpRbSZkpfHlkMVp9Hp512zO6/dPmjlTpqKrKLzvP8sf+iwAMf9SD8YNay4JXIe7B6CL8t99+IywszPAPzNXVFQ8PD1xdXY0OJ4QQQphCbl4uXx5ZTHJ2Kg0c3ZnZ4wU0GpkaYUo6vcqSP0+xK+AaABOfbMOzj3qYN5QQ5ZjRRfiuXbsMj6dPn87LL7+MlZWsehZCCGE+er2eswmXSM5KxdnWkX8u+3E5+ToO1tWZ7TudalZ25o5Yoen0KhFXEklKy8bF0RaPhjX4fn0oh8Nuoijw8rMdGeDd2NwxhSjXjC7Cr1y5gqIotGvXjtdee80UmYQQQoiHduxGKKtDNpCYlVLoeQ0Ks3pNpbZ9LfMEqyT8T0WzdEs4ianZhuesLDVo8/RYWijMGt0F3871zJhQiIrB6CI8JycHgM6dOxsdRgghhDDGsRuhfHV06T1f06OSnlvy5gHi//M/Fc28n0/c9bw2Tw/AsL4eUoALUUxGT4irVSt/RKFaNdl6VgghhPno9XpWh2wo8pjVIRvR6/VllKhy0elVlm4JL/KY/UFR6PTSpEGI4jC6CO/WrRuqqnLhwgVT5BFCCCEeytmES3dNQfm3xKxkziZcKptAlUzElcRCU1DuJSEli4griWWUSIiKzegifOTIkSiKwqFDh7hy5YopMgkhhBAllpyVatLjRGFJaUUX4CU9Toiqzugi3NPTk+effx6dTsf06dOJjY01RS4hhBCiRGrYOZn0OFGYi6OtSY8ToqozemHm+vXradasGW5ubly/fp3BgwczYsQIbGxsSnQd6awihBDCGK1dm2NnaUtW3v1HYmva1aC1a/MyTFV5xKdkPfAYV2c72jStWQZphKj4jC7CP/jgA8NGPYqicPv2bVatWlXi60gRLoQQwhh+148XWYADTPQcIZv0PITNBy+xctuZBx435el2sj29EMVkdBEO3LVdfUm3r5ftbIUQQhgjIu4ii4N+BaB7vU5cTrpWaJFmTbsaTPQcgVd9aadbEnq9ysptZ9h6+DIAQ3yb0qaJC8u2ni60SNPV2Y4pT7ejZ4e65ooqRIVjdBH+yiuvmCKHEEII8VBibsex4OgSdHodPep78nrPSaBi2DGzhp0TrV2bywh4CWnzdHy9LhS/sJsAvDC4Lc/0aYaiKPRoX7fQjpltmtaUEXAhSkiKcCGEEBVWek4Gnx/+kfTcDJq7NOYVrwloFA0o0NathbnjVVgZWVo+W32cU5cSsLRQeO25zvTp0sDwuoVGoX1zVzMmFKLiM8l0FCGEEKKs5enyWHB0CTHpcbhWc2G2zzSsLa3NHavCS0zN4sNlgVyLScPOxoL/TOxOpxZu5o4lRKVT6kW4qqoy51sIIYRJqarKkqC1RMRfxM7Slnd8X8ZZWg8aLSr2Nh8sCyA+OQtnBxs+nNyDZvWdzR1LiErJpBPk0tPTWbt2LdOnT6dv37507tyZNm3asGzZsruO/frrr4mLizPl7YUQQlQRm8/u5tC1QBRF4Y2ek2noXM/ckSq8s1eTmP29H/HJWdSrVZ0vX/WVAlyIUmSykfDt27fzv//9j9u3bxueu98o+Ndff82SJUvYvHkza9eupUGDBncdI4QQQtyLf2Qwv4f/BcCLnZ+jk3tbMyeq+ALCY1jwaxC5eXpaNqzB+5O8cLIv2X4fQoiSMclI+Pr163n77be5ffs2qqoa/tyPm5sbGo2G+Ph43nrrLfR6vSliCCGEqOQuJFzhx2OrARjU4lGe8Oht3kCVwC7/q3z+83Fy8/R0a1ObT6b3lAJciDJgdBF+8+ZNPvnkE1RVxcLCgunTp7Nr1y7Cw8Pve87zzz/PjBkzUFWVU6dOsXfvXmNjCCGEqOTiMhL58shitPo8POu2Z3zHZ80dqUJTVZVfd53lp02n0KvwuFcj/juxO7bW0rNBiLJgdBH+66+/otVqURSFb775htdee40mTZpgZWVV5HnTpk2jVq1aAGzbts3YGEIIISqxzNws5h/+kdSc2zR2rs/rPV6Uvt9GyNPp+X5DGOv3XgBg9OMteWVERyws5HsqRFkx+l+bv78/iqLQpUsXHnvssWKfZ2FhQZ8+fVBVlfPnzxsbQwghRCWVp9fxdcAyotJiqGHrxBzfl7G1sjV3rAorOyePT1cd55/jkWgUeGVER8Y80Uo6mQlRxoz+zCk6OhqALl26lPjc2rVrAxAfH29sDCGEEJWQqqqsDFnPyVtnsbGwZo7vdGpWq2HuWBVWanoOHy0P5GJUCtZWFswZ15XubeuYO5YQVZLRRXh2djbAA6ef3EtGRgaQPyouhBBC/NuOC/vZe9kPBYWZ3i/S1KWRuSNVWLcSM5i7NICYhAwcqlkxd1IPWjV2MXcsIaoso6ej1KmT/w760qVLJT7X39+/0DWEEEKIAkE3T7ImbBMA4zoNo1u9jmZOVHFdikrh7e/8iEnIwK2GHV+86isFuBBmZnQR3qNHD1RVZf/+/URFRRX7vG3btnH+/HkURcHLy8vYGEIIISqRK0mRfBuwEhWVx5r58mSLfuaOVGGFnI/jP4uOkJKeQ5O6jnw58xHquzmYO5YQVZ7RRfjzzz+PoihotVqmTZvGxYsXH3jOrl27eO+99wBQFIXhw4cbG0MIIUQlkZiZzPwjP5Gjy6VD7da86PmcLBp8SPuDovjf8kCycnR09HDl8xk+uDjKolYhygOj54S3atWK6dOn89NPP3HlyhWGDx/O4MGD8fHxMRyTlJTEqVOnOHfuHNu2bSMoKMiwm+awYcNo3bq1sTGEEEJUAtnabOb7/URyVir1Hd15o+dkLDWybqikVFVl04FL/LwjAoDenevz2qjOWFlKC0IhygtFLWpryxL473//y6ZN+XP3HjRiUXBLLy8vli9f/lCLOiuDfv3yP17dt2+fmZMIIYT56fV6vjy6mODocBxt7PnssTm42buaO1aFo9OrLN8SzvajVwEY2rsZLwxui0YjnyYI8TBKq14z2VviTz/9lK+//ppatWrdtXX9nf+tqirW1tZMmjSJFStWVNkCXAghRGFrTv5JcHQ4VhpLZvtMlwL8IeRqdXy5JshQgE8a0o5JQ9pJAS5EOWTSvWkHDhzI448/jr+/P3v37iUqKor4+Hiys7NxcHCgbt26dOvWjSeffBJXV/nhKoQQIt+eS4fYcSF/lGmG1wRauDY1c6KKJz0zl09WHefMlUQsLTTMGu2Jb+d65o4lhLgPkxbhkN/z29fXF19fX1NfWgghRCUUFhPBypANAIxqP4SeDbuaOVHFk5CSxQfLAoi8dZtqtpb894XudGhey9yxhBBFMHkRLoQQQhRXZMpNvvZfhl7V80hjL55pPcDckSqc67fS+HBpAAmp2bg42vDhFG+a1HUydywhxANIES6EEMIsUrJS+dzvJ7Lysmldy4OXuj4vrQhL6MyVRD5eeYyMLC313ez5aIo3bi7VzB1LCFEMxSrCT5w4Udo56NatW6nfQwghRPmQm5fLF0cWk5CZhLu9G2/1moqVhSzUL4mjp6L5am0w2jw9rRu78P4kLxyqWZs7lhCimIpVhI8bN65URycURSEiIqLUri+EEKL80Kt6fjj+M5eSrmFvXZ13HpmBg429uWNVKNuPXGHplnBUFXq0q8NbY7tiYyX91IWoSIo9HcVE7cSFEEJUcevDtxEYFYKFxoK3ek3F3cHN3JEqDFVV+WXnWf7Yn7879UDvxrw0rAMW0oJQiAqnWEV4586dixwJ1+v1hIWFoSgK1apVo2XLlkVeLyIiguzsbDQaDQMHDqRWLVnBLYQQVcGBK/5sPrsbgJe6Pk8btxZmTlRx5On0fL8hjP1BUQCMHdCKkY+1kHn0QlRQxSrC161bV+Trc+fOJSwsjKZNm7J48WIaNGhQ5PFXr15l2rRpREZGAvDOO+8UM64QQoiK6nTseZYGrQVgWJsB9GnibeZEFUdmtpb5vwQRcj4OjUbhleEd6e/VyNyxhBBGMHrHzICAADZs2IClpSWLFi16YAEO0KRJExYtWoSFhQU7d+7Ez8/P2BhCCCHKsei0W3zlvxSdqqdngy6MbPeUuSNVGMm3s/nvoqOEnI/DxtqC917oLgW4EJWA0UX4hg35Gyz07t2bhg0bFvu8pk2b8sgjj6CqKn/88YexMYQQQpRTaTnpzPP7iYzcTDxqNuHl7uPRKEb/+qkSohPSmf29H5dupOJY3ZrPpveiW5s65o4lhDABo38KhoSEoCgKHh4eJT634JywsDBjYwghhCiHtDotXx1dQmx6PLWq1+Rtn2lYW0obveK4EJnM7O/9uJWYSW2Xanz5qi8tGtYwdywhhIkYvVlPUlISkL8482ElJycbG0MIIUQ5o6oqS06s5Wz8JeysbHnH92WcbR3NHatCCDoby+e/nCAnV0ez+k58MLkHNRxszR1LCGFCRhfhDg4OJCcnExISUuJzC86xt5f+sEIIUdlsitjF4evH0CgaZvWcQgOnuuaOVCHsPX6d7zeeRK9X6dyiFu9M6EY1W9nISIjKxujpKK1bt0ZVVYKDg9m7d2+xz9u3bx8nTpxAURRat25tbAwhhBDlyJHrJ9hwehsAkzxH0bFOGzMnKv9UVWX9P+f5dn0Yer1K3y71eX9SDynAhaikjC7Cn3nmGcPjWbNmsWbNGvLy8u57vF6vZ+3atcyaNcvw3IgRI4yNIYQQopw4n3CZRcd/AWBwi370b+5r5kTln06vsujPU/y6+xwAwx/14I3RnlhZygJWISoro6ejDB48mM2bN3P06FG0Wi2fffYZP/zwAz179sTDwwMnJycsLS1JS0vj0qVLHDlyhKSkJMMOnH379mXAgAFGfyFCCCHMLzY9ni+PLEarz6NrvY6M7TjM3JHKvRytjgW/BhF4+haKAlOHtmewT1NzxxJClDKji3CAH374gVdeeYWjR48CkJqayu7du9m9e/c9jy8owB977DEWLlxoighCCCHMLCM3k8/9fiItJ50mzg2Y2eMFNBoZyS3K7cxcPl5xjLPXkrC00PDW813o1VHmzgtRFZikCLezs2PFihVs3LiRFStWcO3aNUOhfS8tWrRg6tSpDB482BS3F0IIYWZ5eh0L/ZdyM+0WLnbOzPF9GVtLG3PHKtfikjP5cFkAUbHpVLe15L8vetG+mau5YwkhyohJivACI0aMYMSIEURERHDy5EmioqJIT08HwNHRkUaNGtGpU6eH6ikuhBCifFJVleXB6wiPPY+NpQ1zfF/GpZqzuWOVa1ejU/lwWSBJadnUdLLloyneNHKX9o1CVCUmLcILtGnThjZtZCW8EEJUBdvO72X/laMoisJrPV6kSY0G5o5UroVfSuCTVcfIzM6jYR0HPpzsTa0aduaOJYQoY6VShAshhKgajt8IY+3JzQBM6DScrvU6mDlR+eYXepOF60LI0+lp27Qm773QHftqsoOoEFWRFOFCCCEeypWk63wXuBIVlcebP8JAj77mjlSubT18meVbTwPQs4M7b47pgrWVhZlTCSHMxaRFeFhYGMHBwcTExJCZmVnk4sw7KYrCZ599ZsooQgghSlFCZhLz/RaRq9PSqU4bXug8EkVRzB2rXNLrVVbviGDzwUsAPNmrCVOGtsdCI98vIaoykxThly9f5u233+bs2bMPfQ0pwoUQomLI0mYz//BPJGen0sCpLq/3nIyFRkZ070Wbp+e79aEcDLkBwPhBrRn+qIe8YRFCGF+EJyQkMGHCBBITE4s98v1v8sNICCEqBp1exzcBK7ieehMnGwfe8X2ZalayqPBeMrO1zFt9grCL8VhoFGY+14lHuzY0dywhRDlhdBG+YsUKEhISUBQFRVHo378/rVu3xtVVep0KIURl80vYJkJjTmNlYcVs3+nUql7T3JHKpeS0bD5cFsiV6FRsrS14Z0I3urSqbe5YQohyxOgi/PDhw0D+aPayZcvo1auX0aGEEEKUP7svHmTXxQMAvOo1EY+aTcycqHy6EXebD5YFEpeUibO9DXMne+HRoIa5Ywkhyhmji/Do6GgUReGRRx4p1wW4Vqtl2LBhXLhwAYB58+YxbNiwex6r1+vZvHkzO3fu5Pz586SkpGBvb0+TJk147LHHeP7557G1tS3L+EIIYVYh0adZFboBgDEdhtKjgaeZE5VP564n8b/lx7idmYu7a3U+muKNu2t1c8cSQpRDRhfhBfO5W7RoYXSY0rRs2TJDAV6U9PR0Jk+eTGhoaKHnk5OTSU5OJiQkhN9++43Vq1fToIFsSCGEqPyup9zgm4DlqKpKnybePN3qcXNHKpeOn7nF/DVB5Gp1eDRwZu6kHjg72Jg7lhCinDK6CK9Xrx6XLl1Cq9WaIk+puHr1KosXLy7WsW+++aahAG/cuDHPPvss7u7uxMXFsXXrVs6fP8+NGzeYMmUKf/31F9bWssmCEKLySs5K5XO/n8jOy6GtWwumdhkji+nv4e/A6/z0Rxh6Fbq0cmPO+G7Y2chWHEKI+zP6J4SPjw8XL168a+S4PJk7dy45OTkoilJkB5fAwEAOHjwIgKenJ6tWrSo07WTChAnMnDmTffv2cfXqVTZs2MDYsWNLO74QQphFTl4uX/gtIjEzGXcHN97sORVLCyks76SqKr/vOc9ve84D8Fi3hswY0RFLC42Zkwkhyjujf0qMHz8eW1tbTp48yb59+0yRyaQ2btzI8ePHARg6dGiRx27dutXw+IMPPrhr3relpSUffPABVlZWAPz111+mDSuEEOWEXtXz/bFVXE6+joN1dd71nYG9jcxtvpNOp+fHP04aCvCRj7Vg5nOdpAAXQhSL0T8p3N3d+fDDDwF46623DCPJ5UFCQgJffvklkF+Ad+/evcjj/f39AWjSpAmtWrW65zG1a9emS5cuAJw6dYrMzEwTJhZCiPJh3amtHL8RhqXGkrd8XqKOg5u5I5Ur2bl5fLb6BH8HXkdRYPqzHRg3sLVM1RFCFJvRnyu++eabALi6uhIfH8/06dNp27YtNjbFX4yiKAq//vqrsVHu8umnn5KamoqzszNz5swp8g1Ceno6t27dAqBNmzZFXrdNmzYEBgaiqiqXL1+mffv2powthBBmtf/KUbae2wPAtG5jaV3Lw8yJypfU9Bw+XnmM89eTsbbU8NbYLni3r2vuWEKICsboInzHjh2Gd/4Fc67PnDlT7PNVVS2VkYNDhw6xc+dOAN555x1cXFyKPL6gAIf80e6iuLu7Gx4nJCQYkVIIIcqX8NhzLAv6DYDhbQfxSGMvMycqX2KTMvlgaQA349Oxt7Pi/UletGkiGxYJIUrOJCts/r3Y8WG3rzeVjIwMwxQZLy8vnnnmmWKdU+BBPcDt7P7/Fs0yHUUIUVncSIvhq6NL0al6ejXsyoi2g80dqVy5cjOVD5cFkHw7B1dnOz6a0oOGdRzNHUsIUUEZXYT/8ssvpshhUt988w3R0dFYW1vz0UcfFeucnJwcw2ONpuip8hYWFobHubm5RR7br1+/+74WExNTaFRdCCHMJS37NvMP/0SmNouWNZsyvft4md98h5MX4vl09XGycvJo7O7Ih1N6UNPJ7sEnCiHEfRhdhD9osWNZO3XqlGF++bRp02jSpHjbKj/s6L25R/2FEMJYuTotXx5dQmxGAm7Va/K2zzSsLazMHavcOBhyg29/DyFPp9K+mSv/eaE79nby/RFCGKdSNXzNy8vj/fffR6/X06xZM6ZMmWLuSEW2bSxqlFwIIcqCqqosPr6G8wmXqWZlxzuPzMDR1sHcscqNzQcvsXJb/jonn451mTXGEytLiwecJYQQD1ZqRXhUVBQpKSlkZGTQqFGjMpl2sXLlSs6dO4eiKPzvf/8rk90sHzR1RQghyrM/zuzgSOQJLBQNb/aaSn1HmSIHoNerrNx2hq2HLwMw5JGmTHqqHRqNTNERQpiGSYvwoKAgfvnlFwIDA7l9+7bh+VmzZhUalU5PT2fy5Mm89tpreHt7m+TekZGR/PjjjwAMHz6crl27luj8Owv2vLy8Io/V6/WGxw9axCmEEOWV37XjbDyzA4BJXUbTvva990eoarR5Or5eF4pf2E0AXhjclmf6NJM58kIIkzJJEa7X6/nwww/ZuHEjUHie9L1+aP3nP/8hLCyMKVOmsHTpUnr27Gl0hg8++IDs7GwsLCzo0KEDu3fvvuuY06dPF3pcrVo1ANq3b294DIU7pdxLVlaW4XH16rKDnBCi4jkXf4lFJ9YAMKRVfx5r5mPmROVDRpaWz1Yf59SlBCwtFF57rjN9ujQwdywhRCVkkiL8gw8+MBTgkL9xT4MGDQgNDb3n8ZMnTyYwMJC0tDTmzJnDzp07cXB4+DmIYWFhht0udTod77///gPPWbt2LWvXrgVg3rx5PProo4bXoqOjizz3zp7idevKBg1CiIrlVno8Xx5ZTJ4+j+71OzGmw1BzRyoXElOz+HBZINdi0rCzseA/E7vTqYXsFCqEKB1GT2gODg5m48aNKIqCu7s7q1at4siRI6xbt+6+53To0IHPPvsMyN/sZtu2bUZluLO94MNydnamVq1aAISHhxd57NmzZwGwsrKiYcOGRt9bCCHKSnpuBp8f/pHbuRk0q9GIV71eQKPI2pao2Nu8/b0f12LSqOFgw7yXfaQAF0KUKqNHwv/444/8C1lasmLFCpo2bVqs8x577DFatWrF+fPn2b17N2PGjHnoDF5eXpw/f/6Bx/3555+8++67QP7o97Bhwwq93rNnT7Zu3UpcXByBgYH06NHjrmvExcVx/Phxw32trKRNlRCiYsjT5fHV0aVE346lpl0NZvtOx8ay9Bewl3cRVxP5eMUx0rO01KtVnQ+neFOnpkw1FEKULqOHP4KCglAUhb59+xa7AC/QtWtXVFUlMjLS2BgmcefOmp988gmpqamFXs/Ly+N///sfWq0WgKFDh5ZlPCGEeGiqqrIseB1n4i5ga2nDHN+XqWHnZO5YZhcQHsP7i/1Jz9LSsmEN5r/iKwW4EKJMGD0SnpCQAECLFi1KfG6NGjUASEpKMjaGSXh7e9O3b18OHDjAxYsXeeqppxg5ciSNGjUiMTGRrVu3EhERAUC7du148sknzZxYCCGKZ+u5PRy46o+iKLzuPYnGNeqbO5LZ7fK/yuI/T6FXoVub2swe1xVb60q1fYYQohwz2U+bgtHhkoiLiwPKV4eRBQsWMGXKFEJCQoiNjeX777+/65jmzZuzaNEi6REuhKgQAqNC+O3UFgAmdhqBZ9325g1kZqqqsnb3OdbvvQDA416NePnZDlhYyM90IUTZMboIb9SoEefPnyckJKRE5+Xm5nLw4EEURSlXixvt7e1Zu3YtW7ZsYceOHZw9e5a0tDTs7e1p1qwZjz/+OKNHjy6TjYCEEMJYlxKv8f2x1QAM8OjDwBZ9zRvIzPJ0en764yT/HM+fBjn68ZaMfryl9AAXQpQ5o4vw3r17c+7cOYKCgvD39y92z++vv/6a2NhYFEXB19fX2BjFMmzYsLsWY96LRqMp9rFCCFFeJWQkMf/IIrQ6LZ3d2zGh03BzRzKr7Jw85q8JIuhsLBoFXh7ekSd6NDZ3LCFEFWX0Z2/jx483bHQzY8aMQv3C7yUjI4OPPvqI1atXA/k7To4aNcrYGEIIIe6Qqc3ic7+fSM1Oo6FTPV73noSFxsLcscwmNT2H/yw6StDZWKytLPjvC15SgAshzMrokfCaNWvy5Zdf8uqrr5Kdnc3cuXNZsmRJodHtU6dOsXz5cs6ePcuhQ4fIyMhAVVUUReHNN9/E1dXV2BhCCCH+j06v4xv/5USm3sTZ1pF3fF/GzsrW3LHM5lZiBnOXBhCTkIFDNWvmTvKiVWMXc8cSQlRxinrnHvNG2LJlCx999BFZWVlFzq2783bTp0/ntddeM8XtK6R+/foBsG/fPjMnEUJUFqqqsiLkd/ZcOoy1hRUfPfomzVwamTuW2VyKSuGj5YGkpOfgVsOOj6Z6U9/t4XdoFkJUPaVVr5lsKfjQoUPZvn07jz/+OFZWVqiqes8/AK1atWLJkiVVugAXQojSsOviAfZcOoyCwsweL1bpAjzkXBzv/nSElPQcmtR15MuZj0gBLoQoN0zaELVevXp89913pKenc/jwYSIjI4mPjyc7OxtHR0fc3d3p3r07rVq1MuVthRBCAMHR4fwclr+L8fMdh9K9fifzBjKj/UFRfLc+FJ1epaOHK/+Z2J1qtrLDsRCi/CiVXQns7e0ZNGhQaVxaCCHEPVxLvsE3AStQVZVHm/biqZb9zR3JLFRVZdOBS/y8I39jtd6d6/PaqM5YWUoPcCFE+SJbgwkhRAWXlJXCfL+fyMnLoZ1bSyZ3GV0l+17r9CrLt4Sz/ehVAIb2bsYLg9ui0VS974UQovwrtSI8PT2d6Ohobt++jaqqODg4UK9ePezt7UvrlkIIUeVk5+Uw3+8nErOSqedQh1m9pmBZBVsR5mp1LPwthKOnogGYNKQdQ3s3M3MqIYS4P5MW4Tdu3OD333/nn3/+ITIy8p7HNGrUiIEDB/Lcc89Rp04dU95eCCGqFL1ez3eBq7iaHIWDjT3vPPIy9tbVzR2rzKVn5vLJquOcuZKIpYWGWaM98e1cz9yxhBCiSCabJLds2TKefPJJVqxYQWRk5H27o1y/fp3FixczcOBA1qxZY6rbCyFElbP21GaCbp7ESmPJbJ9p1LavZe5IZS4hJYs5Px7hzJVEqtla8tHUHlKACyEqBJOMhC9YsIAVK1YU6gFuaWlJw4YNcXJyQqfTkZyczM2bN9Hr9QBkZWXx2WefkZSUJK0KhRCihPZe9mPb+b0ATO8+npauVW/qxfWYND5cFkBCajYujjZ8OMWbJnWdzB1LCCGKxegiPDg4mBUrVhj+u2XLlrzyyiv07t0ba2vrQsdmZWVx4MABlixZwvnz51FV1bC7pqenp7FRhBCiSjh16yzLg38HYGS7wfg06mbmRGXv9OUEPll1nIwsLfXd7PloijduLtXMHUsIIYrN6Okov/32m2EEfODAgWzatIn+/fvfVYAD2NnZMWjQIP78808GDhwI5LeTWrt2rbExhBCiSriRGsNC/2XoVT2+jbrzbJuq1w726Klo5i4NICNLS+vGLnzxqq8U4EKICsfoIjw4OBgAV1dXPvvsMywtHzy4bmFhwWeffUatWrVQVdVwDSGEEPeXmp3GPL8fydRm0cq1GdO6ja1yrQi3H7nC/F9OoM3T06NdHT6e1hOHancP+gghRHlndBGemJiIoig8+uij2NnZFfs8Ozs7+vXrZ7iGEEKI+8vNy+WLI4uJz0iktn0t3vKZhpVF1dkBUlVVft4RwZLN4agqDPRuzDsTumNjVfXaMQohKgej54Tb29uTkpKCm5tbic+tVauW4RpCCCHuTa/q+en4L1xMvEp1Kzve9X0ZR5uq83MzT6fn+w1h7A+KAmDswFaM7Neiyn0KIISoXIweCW/WLH9Ffnx8fInPLTinefPmxsYQQohKa+PpHfhHBWOhaHiz10vUdaw6eyxkZmv5eMUx9gdFodEozBzZieceaykFuBCiwjO6CO/fvz+qqnLw4EFD+8Hi0Ol0HDhwAEVRGDBggLExhBCiUjp0NZBNETsBmNr1edrVbmnmRGUn+XY2/110lJDzcdhYW/D+i17092pk7lhCCGESRhfho0ePpmHDhsTGxrJgwYJin7dw4UJiY2Np1KgRI0eONDaGEEJUOhFxF1kc9CsAQ1s/Qd+mPc2cqOxEx6cz+3s/Lt1IxbG6NZ9N70XX1rXNHUsIIUzG6DnhN27cYPr06bz33nusWrWK2NhYvL29izwnICCAHTt2oCgKTzzxBFu3bi3y+OHDhxsbUwghKpSY23EsOLoEnV5Hj/qejGo/xNyRysyFyGQ+Wh5IWkYutV2q8b+p3tStVXXmwAshqgZFvXOby4fQqlUrw9w8VVWLPU+vuMcqikJERIQxEcutgu4w+/btM3MSIUR5kp6TwX/3fkFMehzNXRrzYd83sLasGm34gs7G8vkvJ8jJ1dGsvhMfTO5BDQdbc8cSQlRhpVWvmWTb+jvr+JLU9EbW/0IIUenk6fJYcHQJMelxuFZzYbbPtCpTgO89fp3vN55Er1fp3KIW70zoRjXbqtOGUQhRtRhdhD/zzDOmyCGEEFWeqqosCVpLRPxF7Cxtecf3ZZztnMwdq9SpqsqGvRf4dfc5APp2qc+rIztjZWn0siUhhCi3jC7C582bZ4ocQghR5W0+u5tD1wJRFIU3ek6moXM9c0cqdTq9ypLNp9jlfw2A4Y96MH5Qa2lBKISo9EwyHUUIIYRx/COD+T38LwBe7PwcndzbmjlR6cvR6ljwaxCBp2+hKDB1aHsG+zQ1dywhhCgTUoQLIYSZXUi4wo/HVgMwqMWjPOHR27yBysDtzFw+XnGMs9eSsLLU8OaYLvTqWNfcsYQQosyYvAg/ePAgR44c4dy5c6SkpJCRkcHUqVMZPXp0oeM2bNjA4MGDqVatmqkjCCFEhRGXkciXRxaj1efhWbc94zs+a+5IpS4uOZMPlwUQFZtOdVtL3nvRi3bNXM0dSwghypTJivCgoCD++9//EhkZaXiuoA1henp6oWPXrl3LJ598wpo1a/j5559xcXExVQwhhKgwMnOzmH/4R1JzbtPYuT6v93gRjaZyL0a8Gp3Kh8sCSUrLpqaTLR9N8aaRu6O5YwkhRJkzyU/7AwcOMHHiRCIjI1FV1fDnfmJjY1FVlUuXLvHuu++aIoIQQlQoeXodXwcsIyothhq2TszxfRlbq8rdDzv8UgLv/HiEpLRsGtZx4MtXH5ECXAhRZRldhCclJfHWW2+Rl5eHqqoMGTKE5cuXs3v37vueM2vWLEaPHo2qqhw+fBg/Pz9jYwghRIWhqiorQ9Zz8tZZbCysmeM7nZrVapg7VqnyC73J3KUBZGbn0bZpTebP8KFWDTtzxxJCCLMxejrKr7/+SkZGBoqi8N577/H8888X67x33nmHnTt3kpaWxl9//YWvr6+xUYQQokLYcWE/ey/7oaAw0/tFmro0MnekUrX18GWWbz0NQM8O7rw5pgvWVhZmTiWEEOZl9Ej44cOHAWjdunWxC3AAGxsb+vbti6qqhIeHGxtDCCEqhKCbJ1kTtgmAcZ2G0a1eRzMnKj16vcrKbWcMBfjgXk2YPa6bFOBCCIEJRsKjoqJQFAVvb+8Sn1uvXv5GFHFxccbGEEKIcu9KUiTfBqxEReWxZr482aKfuSOVGm2enu/Wh3Iw5AYA4we1ZvijHrIJjxBC/B+ji/CMjAwAqlevXuJzc3Nzjb29EEJUCEmZKcw/8hM5ulw61G7Ni57PVdqCNDNby7zVJwi7GI+FRmHmc514tGtDc8cSQohyxegivFatWty6dYvr16+X+NygoCDDNYQQorLK1mYz3+8nkrNSqe/ozhs9J2OpqZxTMpLSsvloWSBXolOxtbbg3Qnd8WzlZu5YQghR7hg9J7xLly6oqsrevXtJTk4u9nn+/v6EhoaiKApdu3Y1NoYQQpRLer2ebwNXcjUlCkcbe97xfZnq1pVzk7Ibcbd5+3s/rkSn4mxvw2cv95ICXAgh7sPoInzUqFEAZGZmMmPGDOLj4x94TmhoKG+88Ybhv4cOHWpsDCGEKJfWnPyT4OhwrDSWzPaZjpt95dwZ8tz1JGZ/f4S4pEzcXavzxau+eDSo3G0XhRDCGEZPR+natSvPPvssmzZtIjQ0lCFDhjBu3Dh8fHwMx+h0OpKSkjh79izbt29n27Zt5OXloSgKffr0oVu3bsbGEEKIcmfPpUPsuLAPgBleE2jh2tTMiUrH8TO3mL8miFytDo8Gzsyd1ANnBxtzxxJCiHJNUYva2rKY8vLyeOmllzh69GixFhoV3NLDw4N169Zhb29vbIQKqV+//M4I+/btM3MSIYSphcVE8Lnfj+hVPaPaD2FYm4HmjlQq/g68zk9/hKFXoUsrN+aM74adjdHjO0IIUW6UVr1mkm3rLS0tWbZsGW+99RY2Njb33Lb+39vZDxgwoEoX4EKIyisy5SZf+y9Dr+p5pLEXz7QeYO5IJqeqKuv+PscPG/ML8Me6NeS9F72kABdCiGIy2U9LjUbD5MmTefbZZ/n777/Zu3cvUVFRxMXFkZOTg6OjI3Xr1qVbt24888wztG7d2lS3FkKIciMlK5XP/X4iKy+b1rU8eKnr85WuFaFOp2fRn6f4OzC/K9bIx1owdkCrSvd1CiFEaTL5kEWNGjUYNWqUYcGmEEJUFbl5uXxxZDEJmUm427vxVq+pWFlYmTuWSWXn5vHlmmCOR9xCo8BLwzowqGcTc8cSQogKRz43FEIIE9Cren44/jOXkq5hb12ddx6ZgYNN5Zpul5qew8crj3H+ejLWlhreGtsV7/bu5o4lhBAVkhThQghhAuvDtxEYFYKFxoK3ek3F3aFy9ceOTcrkg6X+3IzPwN7OivcnedGmSU1zxxJCiAqrWEV4dHR0aeegbt26pX4PIYQoDQevBrD57G4AXur6PG3cWpg5kWlduZnKh8sCSL6dg6uzHR9N6UHDOo7mjiWEEBVasYrwRx99tFQX3CiKQkRERKldXwghSsuZuAssCVoLwLA2A+jTxNvMiUzr5IV4Pl19nKycPBq7O/LhlB7UdLIzdywhhKjwSjQdxQQtxYUQotKITrvFgqNL0Ol19GzQhZHtnjJ3JJM6GHKDb38PIU+n0r6ZK/99oTvV7SrXQlMhhDCXYhXhbm5uDxwJj42NRVEUNBoNrq5Fb8scFxcH5I+Ae3p6UqOGbG0shKhY0nLSmef3Exm5mXjUbMLL3cejUUyy9UK5sPngJVZuOwOAT8e6zBrjiZWlhZlTCSFE5VGsIvzw4cNFvv7DDz/www8/UKtWLb7//ns6duxY5PHHjx9n1qxZJCYm0r59e+bMmVP8xEIIYWZanZavji4hNj2eWtVr8rbPNKwtrc0dyyT0epWV286w9fBlAIY80pRJT7VDo5Ee4EIIYUpGD9ucOXOGH3/8EY1Gw48//vjAAhyge/fu/PDDDwCsXr2aU6dOGRtDCCHKhKqqLDmxlrPxl7CzsuUd35dxtq0cixS1eToWrA02FOAvDG7L5CFSgAshRGkwugj/9ddfUVUVb29v2rdvX+zzOnXqRI8ePVBVld9++83YGEIIUSY2Rezi8PVjaBQNs3pOoYFT5ejslJGl5YOlgfiF3cTSQuHNMZ4M69tcdsEUQohSYnQRfvz4cRRFoU2bNiU+t23btoZrCCFEeXfk+gk2nN4GwCTPUXSsU/Kfe+VRYmoW7/x4hPDLCdjZWPDB5B706dLA3LGEEKJSM3qznvj4+PwLWZb8UlZW+avsExMTjY0hhBCl6nzCZRYd/wWAwS360b+5r5kTmUZU7G0+WBZAfHIWNRxs+GByD5rVdzZ3LCGEqPSMLsLt7OzQarWcPn26xOeeOZO/8t7W1tbYGEIIUWpi0+P58shitPo8utbryNiOw8wdySQiriby8YpjpGdpqVerOh9O8aZOzermjiWEEFWC0dNRmjdvjqqq+Pv7ExoaWuzzwsLCOHLkCIqi4OHhYWwMIYQoFRm5mXzu9xNpOek0cW7AzB4voNFU/FaEAeExvL/Yn/QsLS0b1WD+K75SgAshRBky+jfJ4MGDAdDr9UybNo39+/c/8JxDhw7x0ksvodfrAXj66aeNjSGEECaXp9ex0H8ZN9Nu4WLnzBzfl7G1tDF3LKPt8r/K5z8fJzdPT7c2tflkWk+c7Cv+1yWEEBWJ0dNRRo4cycaNG4mIiCA1NZUZM2bQvHlzevfujYeHB87OzlhYWJCWlsalS5c4ePAgZ8+eNZzfsWNHhg8fbmwMIYQwKVVVWRH8O+Gx57CxtGGO78u4VHM2dyyjqKrK2t3nWL/3AgCPezXi5Wc7YGFR8Uf2hRCiojG6CLewsGD58uVMnDiRCxcuoKoqly5d4tKlS/c9R1VVANq3b8/ixYulBZYQotzZdn4v+67kT5l7rceLNKlRsbuF5On0/PTHSf45HgnAmMdbMurxlvLzVwghzMQkwx8uLi788ccfTJs2DUdHR1RVLfKPs7Mzb7zxBuvWrcPZ2dkUEYQQwmSO3whj7cnNAEzoNJyu9TqYOZFxsnPy+HTVcf45HolGgVdGdGT0E62kABdCCDMyeiS8gLW1Na+//jrTp0/n8OHDnDx5kqioKNLT0wFwdHSkYcOGdO7cmV69ehnaEwohRHlyJek63wWuREXl8eaPMNCjr7kjGSU1PYePlgdyMSoFaysL5ozrSve2dcwdSwghqjyTFeEFbGxs6N+/P/379zf1pYUQolQlZCYx328RuTotneq04YXOIyv0aPGtxAzmLg0gJiEDh2rWzJ3kRavGLuaOJYQQglIowoUQoiLK0mYz//BPJGen0sCpLq/3nIyFxsLcsR7apagUPloeSEp6Dm417Phoqjf13RzMHUsIIcT/kSJcCFHl6fQ6vglYwfXUmzjZOPCO78tUs7Izd6yHFnIujnk/Hyc7V0fTuk58MKUHLo6yKZoQQpQnJi3CY2NjCQ0N5datW2RkZBi6oBTHK6+8YsooQghRbL+EbSI05jRWFlbM9p1Oreo1zR3poe0PiuK79aHo9CodPVz5z8TuVLOVNThCCFHemKQIj4+P53//+x/79+83bMBTUlKECyHKgl6v52zCJZKzUqlh58T1lBvsungAgFe9JuJRs4mZExaPTq8ScSWRpLRsXBxtad3EhS2HLvPzjggAeneuz2ujOmNlKT3AhRCiPDK6CE9PT2fs2LFERkaWaOT7ThV54ZMQouI4diOU1SEbSMxKueu1MR2G0qOBZ9mHegj+p6JZuiWcxNRsw3O21hZk5+oAeKZPcyY+2QaNRn62CiFEeWV0Eb569WquX79uKKTbtGlDmzZtcHV1NTqcEEKYyrEboXx1dOl9X69jX6sM0zw8/1PRzPv5xF3PFxTg/bo14MWn2pZ1LCGEECVkdBG+d+9ew+OPP/6YESNGGHtJIYQwKb1ez+qQDUUe83PoH3Sv1wmNpvxO39DpVZZuCS/ymJMXE9DpVSxkFFwIIco1o3/bREZGoigK3bp1kwJcCFEunU24dM8pKHdKzErmbMKlsgn0kCKuJBaagnIvCSlZRFxJLKNEQgghHpbRRXjBQsy2beXjTyFE+ZSclWrS48wlKa3oArykxwkhhDAfo4vw2rVrA2BpKS3HhRDlUw07J5MeZy7F7XQiPcGFEKL8M7oI9/b2RlVVTp8+bYo8QghhUqqqcjb+wdNMatrVoLVr8zJI9HBORNzixz/CHnicq7MdbZpW3D7nQghRVRhdhI8dOxZLS0sCAwMJDQ01RSYhhDCJ3LxcvgtcyYbT2x547ETPEeVyUWZ2bh6LNp3kfyuOkZahpZZz0aPcU55uJ4syhRCiAjD6N07z5s2ZOXMmqqryyiuvcO7cOVPkEkIIoyRlpfDB/oUcjQzCQtEwucto3uw1lZp2zoWOq2lXgzd7TcWrfmfzBC3ClZupzPrmEDv9rwEwxLcpi995jHcndKOmU+Fi3NXZjncndKNnh7pmSCqEEKKkjJ7IvXDhQgDc3NyIi4tj+PDh9OvXDxsbm2JfQ1EU5s+fb2wUIYQA4FLiNb48upjkrFTsraszq+cU2tVuCUC3uh0L7ZjZ2rV5uRsB1+tVthy6zJpdEeTpVGo42PD6aE88W7oB0LNDXbzauRfaMbNN05oyAi6EEBWIoj7sNpf/p1WrVoV2vFRV9aF2wDx79qwxMSqkfv36AbBv3z4zJxGi8jhy/QSLTqxBq9NS39Gd2b7TK8xGPJDfYvDrdSGcupQAgFfbOrw6shNO9sUf2BBCCGE6pVWvmaSlyb/r+JLW9bJtvRDCWHpVz4bT2/gzYjcAnu7tmOn9ItWs7MycrPiOnozmh41hpGdpsbG2YMrT7Xjcq5H8jBRCiErI6CJ83rx5psghhBAPLVubzffHVnPi5kkAhrTqz5j2Q8vdNJP7yczWsmzLafaeiASgeX0n3hrblXq17M2cTAghRGkxugh/5plnTJFDCCEeSnxGIl/4LeJ66k0sNZZM7TqGPk28zR2r2M5dT2Lh2hBiEjNQFBj+qAejH29V7J7gQgghKibZYUcIUWGdi7/EgqNLSMtJx8nWkbd7vUQL16bmjlUsOp2eDfsu8vs/59HrVVyd7Zg1xpP2zVzNHU0IIUQZkCJcCFEh7b/iz7Lg39DpdTR2rs9sn+m4Vncxd6xiuZWYwcLfQjh7LQmARzrVY/rwjtjbWZk5mRBCiLIiRbgQokLR6/X8evJPtl/IX6XuVb8zM7wmYGtZ/ruHqKrKgeAbLP7zFFk5edjZWDL92Q708awviy+FEKKKKXYRvmXLllKMAUOHDi3V6wshKr7M3Cy+CVhO2K0IAIa3fZLhbQehUcr//On0zFx+2nQKv7CbALRu7MKsMZ7UqVndzMmEEEKYQ7GL8HfeeafURmoURZEiXAhRpJjbcXzht4ibt29hbWHFDK8JeDfoYu5YxRJ+KYGF60JISMlCo1EY83hLhj/qgYVF+X/zIIQQonSUaDqKkfv6CCHEQwmPPcdC/2Vk5GbiYufMbJ/pNHVpaO5YD6TN0/Pb3+fYdOAiqgruNavz5vOetGxUMeauCyGEKD3FLsK7detWmjmEEOKedl88yOrQjehVPR4ujXnLZxo17JzMHeuBbsTdZsHaYC7fSAWgf/eGTBnaHjsbWYojhBCiBEX4mjVrSjOHEEIUkqfXsSpkPf9c9gPAt1F3Xuo2FmuL8t1BRFVVdgdeZ/nW0+RqddjbWfHKyE706lDX3NGEEEKUIzIkI4Qod27npLPQfxln4i6goDC6w9M83erxct9BJDU9h+83hHHszC0AOnq48sZoT2o62Zk5mRBCiPJGinAhRLlyIzWG+X4/EZuRgK2lDTN7vEjXeh3MHeuBgs/F8u3voSTfzsHSQsP4Qa15+pFmaDTl+42DEEII85AiXAhRboREh/NtwEqy8rKpVb0mc3ym09C5nrljFSlXq2P1jgi2+V0BoEFte956vitN65X/eetCCCHMR4pwIYTZqarKtvN7WXtyMyoqrWt58GavqTja2Js7WpGuxaSx4Ncgrt+6DcDgXk2Y+FRbbKwszJxMCCFEeSdFuBDCrLQ6LUuDfuPQtUAA+jX1YZLnc1halN8fT3q9yrYjV1i9PYI8nR5nexteG9WZrq1rmzuaEEKICqL8/pYTQlR6KVmpLDi6lAuJV1AUhYmdRjDAo0+5XoCZmJrFN7+HEnYhHoCurWvz2nOdcXawMXMyIYQQFYkU4UIIs7iaHMUXRxaRmJlMdSs73ug5hQ51Wps7VpECwmP4fkMYtzNzsbayYNKQtgz0blyu3zQIIYQonyplEZ6SksK6des4dOgQV69eJT09HXt7ezw8POjXrx8jRozA3r7ouab//PMPW7ZsITw8nKSkJKpVq0b9+vXp06cPEyZMwMlJFl0J8bACo0L48djP5OhycXdwY47vy9R1KL9TObJz8lj+12n+DrwOQNN6Trz1fBca1HYwczIhhBAVlaJWsr3oDxw4wOzZs0lLS7vvMfXq1ePHH3+kdeu7R920Wi1vvPEG//zzz33Pr1GjBsuWLaN9+/ZGZe3Xrx8A+/btM+o6QlQUqqqyKWInG05vB6Bjnda85j0Je+vqZk52fxcik/lqbTDRCRkoCgzr05znB7TGylJj7mhCCCHKQGnVa5VqJDwgIIBXXnmFvLw8FEWhd+/e+Pr64uzsTHR0NJs3b+bKlSvcvHmTSZMmsW3bNmrWrFnoGvPmzTMU4G5ubowYMYLGjRuTmprKrl27CA4OJjk5mSlTprBr1y5q1Khhji9ViAonJy+Xn47/QkBUMACDPPoyrtOzWGjKZycRnV5l0/6L/Pb3OXR6lZpOtswa40mH5rXMHU0IIUQl8MAi/OjRo7zxxhsoisLOnTvvKlrLC61Wy9y5c8nLy0Oj0fD1118zYMCAQsdMnDiRGTNmcPjwYRITE1m2bBnvvPOO4fVr167x+++/A9C4cWN+//33QkX22LFj+fjjj1m7di3JycksXbqUOXPmlM0XKEQFlpiZzBdHFnE1OQoLjQWTPUfRr5mPuWPdV1xSJgvXhXDmSiIAvTrWZcbwjjhUszZzMiGEEJXFAz9PvXr1KmlpaaSlpeHo6HjX661ataJNmzYsW7asVAIWV0BAAJGRkQCMGDHirgIcwNramk8++QQLi/yRtwMHDhR6ffv27eh0OgBmz5591yi3oijMnj0bFxcXALZt24Zerzf51yJEZXIx8Srv/vM5V5OjcLCx5/3er5XrAvxQyA1mfnWAM1cSsbOx4PVRnZkzrqsU4EIIIUzqgUV4QVEKkJCQcM9jysO08uDgYMPjgQMH3ve42rVr07x5cwBiYmIKvebv7w9A9erVeeSRR+55vq2tLX379gUgPj6eq1evGpVbiMrs8LVjfLh/ISnZaTRwqsu8x+bQxs3D3LHuKSNLy1drg1mwNpiM7DxaNqrBt7P60q9bQ+l+IoQQwuQeWIS7ubkZHm/durVUwxjD1dUVHx8ffHx8aNq0aZHHWllZAfkF9Z0uX74MgIeHh+GYe2nbtq3h8cWLFx82shCVll7V89upLfxwbDVafR5d63bgk35v42bvau5o93TmSiIzvzrAwZAbaBQY/XhL5s/wwd21/C4YFUIIUbE9cE54t27dsLCwQK/X88MPP5CWlsajjz5K7dqF24mlpKQQFRX10EEaNGjw0OcCjBs3jnHjxj3wuNzcXK5fz28z1qFDB8PzWVlZpKSkANz1tf1bnTp1DI/v9+mAEFVVljab7wJXEhwdDsDQ1k8wqv0QNEr56yaSp9Pz+57zbNx3Ab0KtV2q8eaYLrRu4mLuaEIIISq5Bxbhrq6uDB06lE2bNqHT6Vi1ahWrVq0qdIyqqqxcuZKVK1c+VAhFUYiIiHioc0tq9+7d3L59G4ChQ4cans/IyDA8/vcI+b9Vq1bN8DgzM9O0AYWowOLSE5h/ZBFRqdFYaSyZ1m0cvo27mzvWPUXHp/PVb8FciEwB4NGuDXjpmfZUs73/p2BCCCGEqRSrReF7773HzZs3CQwMvO8x5WFe+IOkpaXx1VdfAdCsWbNCc8dzcnIMjzWaokfs7nw9Nze3yGMLekveS0xMDO7u7kWeL0RFERF3ka+OLuF2bgbOto7M9plO85qNzR3rLqqq8s/xSJZtCSc7V0d1OytmDO+Ib6d65o4mhBCiCilWEW5nZ8eqVavYtWsXe/bs4cqVK2RkZKCqKtHR0SiKgoODwwN3oTQnvV7P7NmzuXXrFhqNho8++sjQJQUe/k1ERXjzIURp23v5CCuC16FT9TSt0ZC3faZRs1r566GflpHLDxvDCAjPX5Tdvpkrb4z2pFYNOzMnE0IIUdUUe7MeRVEYNGgQgwYNKvR8q1atAJgyZQpTpkwxbToTmj9/vqEl4dSpU+nWrVuZ3Leo3ZWKGiUXoiLQ6XX8EraJXRfz/231bNCF6d3HY2NZ/tr5hV2I4+t1oSSlZWNpoTB2QGuG9mmOhUY6nwghhCh7lWrHzPtZvnw5q1evBqBPnz689tprJru2tC4TVVV6bgbf+K/gVOxZAJ5r9xTD2gwsd/8mtHk6ftl5li2H8rsf1atlz1tju9C8vrN5gwkhhKjSjC7Chw4diqIotGjRwhR5TG7z5s0sWLAAyO+G8vXXX99zzre19f8fudNqtUVe884Neuzs5GNsUfVE345lvt9PxNyOw8bCmld6TMSrfmdzx7rL9VtpLPg1mGsxaQAM9G7Mi0PaYmtdJcYfhBBClGNG/yb6/PPPTZGjVBw4cID33nsPVVXx8PBg2bJlhTqb3KkkHU+ysrIMj6tXlz7Como5eSuCb/yXk6HNoma1GszxmU7jGsa1GDU1VVXZfuQqq7efITdPj2N1a157rjPd29Z58MlCCCFEGai0w0HBwcG8/vrr5OXlUa9ePVasWIGzs/N9j7e3t8fe3p709HSio6OLvPatW7cMj+vWrWuqyEKUa6qqsuviAX4O+wNVVWlZsylv+ryEs62juaMVkpyWzbfrQwk+FweAZys3Xn+uMzUci249KoQQQpQlkxfhOTk57N69m+PHj3P58mVSUlJQVRU3Nzfq1atH37596du3b6HpH6Z24cIFpk+fTnZ2Nq6urqxateqBG/BA/k6ZoaGhXL58mYyMjPuOcp89e9bwuHnz5ibLLUR5lafLY0XIevZdOQJAn8beTOk6GiuL8tVT+3jELb5bH0pqei5WlhpeGNyWwT5Nyt08dSGEEMKkRfjatWv54YcfDDtP3ikyMpKgoCC2bt2Kvb09s2fPZsSIEaa8PQA3b95k8uTJpKam4uDgwIoVK2jUqFGxzvX29iY0NBStVsvu3bt59tln7zomOzvb0PGkSZMmMhIuKr20nHS+OrqUs/EXUVAY23EYg1v2K1eFbXZuHiu3nWGX/zUAGrs78tbzXWjkXr5G6YUQQogCJtlHWq/XM2vWLD755BPDyHdRf27fvs3cuXNN2qUEICkpiUmTJhEbG4utrS2LFy82tFAsjiFDhhh6h3/99dfcvHnzrmMWLFhAYmIiUHjHTSEqo8iUm7z7z+ecjb+InZUtc3xf5qlWj5WrAvzSjRTe+PqQoQAf2rsZC19/RApwIYQQ5ZpJRsK/+OILdu7ciaIoqKpKp06dGDx4MG3btqVGjRrodDoSExOJiIhg586dnDp1ClVV2bNnD1988QWzZ882OkNmZiZTp07l6tWrAAwePJiEhAR27979wHMHDBgA5I9sjx49ml9//ZX4+HieeeYZRo4cSYsWLbh9+7Zhmg2Au7s748ePNzq3EOVV0M2TfBe4iuy8HGrb12KOz3TqO5WfHV71epXNBy/x6+6z5OlUXBxteH2UJ51bupk7mhBCCPFAimrklo8XLlzgmWeeQa/XY2Njw2effXbXhj7/tnv3bt59912ysrJQFIU///yT1q1bGxODY8eOPXRRfP78ecNjrVbLrFmz2LNnz32Pr127NitXrjR6PnjBZj1FbegjRFlTVZWt5/aw7tRWVFTaurVgVs8pONiUnx1x45Oz+Ob3EE5dSgDAu707r4zohGP18rdJkBBCiIqttOo1o0fCN27ciE6nQ1EUFi5cyKOPPvrAcwYMGICdnR0vvfQSAOvXr+fDDz80NopJWFlZ8f333/PPP/+wefNmwsPDSU5Oplq1ajRs2JB+/foxbtw47O3LT0EihKnk6rQsPvErR67nf+LzeLNHmOg5EkuNhZmT/X9HTt7kh40nycjSYmNtwdSh7enfvWG5miIjhBBCPIjRRXhgYCCKotCpU6diFeAFevfuTdeuXQkKCjJM8TCGl5dXoRFtY/Xv35/+/fub7HpClHfJWaksOLKYi0nX0CgaXug8kic8eps7lkFmtpYlm8PZHxQFgEcDZ956vgt1a8kbYiGEEBWP0UV4Qc/srl27lvhcT09PgoKCHtiXWwhRuq4kXeeLI4tJykqhunU13uw5hXa1i7+oubSdu5bEV78FcysxE40Cw/u1YPTjLbG0MMnaciGEEKLMGV2EZ2dnAzxU328rq/LVY1iIqsg/Mpifjv9Mrk5LPYc6zPGdTh2H8rG4UafTs37vBdbvvYBer+JWw45ZY7rQtmlNc0cTQgghjGJ0EV6rVi1iYmK4cOFCic8tOMfV1dXYGEKIEtKrev44s4M/zuwEoLN7W17rMYlq1nZmTpbvVmIGX60N5tz1ZAD6eNZn2rAOVLeTN+9CCCEqPqOL8E6dOhEdHc2hQ4eIjIykYcOGxTrv+vXrHDp0CEVR8PT0NDaGEKIEsvNy+PHYzxy7EQrA4JaPMbbDM2g05p/eoaoq+4OiWLL5FFk5OqrZWjL92Y708axv7mhCCCGEyRj9G7dgwxqtVsvLL79MbGzsA8+5desWL7/8Mrm5uQA89dRTxsYQQhRTQkYSc/ct4NiNUCw1XrqKIwAASCNJREFUlrzcfTzjOz1bLgrw9Mxc5q8J4pvfQ8nK0dG2aU2+e7OvFOBCCCEqHaNHwh955BH69OnDwYMHuXz5MoMGDWLs2LE88cQTtGjRAkvL/3+LixcvsmvXLn755RcyMjJQFIWePXvi6+trbAwhRDGcT7jMgiNLSM25jZONA2/2eolWtZqZOxYApy7F8/VvISSkZmOhURjzRCuefdQDC420HhRCCFH5GL1ZD0BGRgajRo3i4sWLhXr1WlhYYG9vj6WlJWlpaWi1WiD/42aA5s2bs3btWpycnIyNUCHJZj2iLB28GsDSoN/I0+fRyLk+s32mUau6+Rc4avP0rN19lj8PXkJVoa5rdd58vgstGtYwdzQhhBCi/G7WA1C9enXWrVvHvHnz2LRpk+H5vLw8UlJSDNvZ3+mJJ57gk08+wcHBwRQRhBD3odfrWXtqM9vO7wWge71OvOI1AVsrWzMng6jY23z1WzCXb6QC8ESPRkwa0g47G5P8aBJCCCHKLZP9prO3t+fTTz/lueeeY+PGjRw9etTQ/7ugAG/YsCFeXl6MHDmS9u3bm+rWQoj7yNRm8W3ASkJjTgPwbJtBjGj3JBrFvPO/VVVld8A1lv91hlytDodq1rw6siPe7euaNZcQQghRVkw+3NShQwc6dOgA5PcQT01NxdLSEkdHR+kLLkQZupUezxd+i7iRFoOVhRUzuo+nZ8OSb6plaim3c/h+QxjHI/I3+urUohavj+pMTafy0RpRCCGEKAul+pmvra0ttrbm/8hbiKrmdOx5FvovIz03gxp2Tsz2mU4zl0bmjkXQ2Vi+XR9Kyu0cLC00TBzchqd8mqKRxZdCCCGqGJl4KUQls+fSYVaFrEen6mnm0oi3fabhYuds1kw5Wh2rt59h+5GrADSs48Bbz3ehSd2quShbCCGEkCJciEoiT6/j59CN/H3pEAA+DbsxrdtYrC2tzZrranQqC9YGE3nrNgBP+TZlwpNtsLGyMGsuIYQQwpykCBeiEkjPyeDrgGWEx54HYHT7pxna+olCLUPLml6v8pffZX7ecZY8nR5nBxteH9WZLq1qmy2TEEIIUV5IES5EBXcjLYYv/BZxKz0eG0sbZvZ4gW71Opo1U2JqFt+sCyXsYjwAXm3r8OrITjjZ25g1lxBCCFFeSBEuRAUWGnOabwJWkKXNplY1F2b7TqeRs3m3ePc/Fc0PG8O4nanF2sqCyU+3Y0CPRmYdlRdCCCHKGynChaiAVFVlx4X9rDm5CVVVaV2rOW/2nIqjrfk2v8rKyWPZlnD+OR4JQLP6Trw5pgsNasuGXEIIIcS/SREuRAWj1WlZFryOg1cDAHi0SU8mdxmNpYX5/jlfiExmwdpgYhIyUBR4tq8HY55ohZWleTcFEkIIIcorKcKFqEBSs9NYcHQp5xMuoygKEzoNZ6BHX7NN9dDpVf7Yf4Hf/j6PXq/i6mzHrNGetG/uapY8QgghREVhdBH+7rvvAuDj48OTTz5pdCAhxL1dS77BF0cWkZCZRDUrO173nkwn9zZmyxOblMnC34KJuJoEgG+nerz8bAfsq5m3JaIQQghRERhdhG/evBlFUahXr54p8ggh7uH4jTC+P7aanLwc3O3dmOM7nbqOdcyW52BwFIv+PEVmdh52NpZMG9aBvl3qy+JLIYQQopiMLsKdnJxIS0sjMzPTFHmEEHdQVZXNZ3fze/hfALSv3Yo3ek7G3rq6WfKkZ2lZvOkUh0JvANC6sQuzxnhSp6Z58gghhBAVldFFeIcOHfDz8+PkyZOmyCOE+D+5ebn8dGIN/pFBAAzw6MOETsOx0Jhnp8kzVxL56rdg4pOz0GgURvVvych+HlhYyOJLIYQQoqSMLsLHjRuHn58fISEhHDhwgL59+5oilxBVWlJmCl8eWczl5OtYKBomdRnFY818zZIlT6fnt7/PsWn/RfQq1KlZjTef70KrRi5mySOEEEJUBiYZCR87diy//vorb7zxBq+++iqPP/54ia/ToEEDY6MIUSlcSrzGl0cWk5ydioN1dWb1mkpbtxZmyXIzPp2v1gZzMSoFgMe6NWTK0HZUs7UySx4hhBCisjC6CPf29gZAURSys7NZsGABCxYsKNE1FEUhIiLC2ChCVHhHrp9g0Yk1aHVaGji6M9t3OrXta5V5DlVV2XPsOsu2niYnV4e9nRWvjOhEr451yzyLEEIIURkZXYSrqmroiKAoCqqqGh1KiKpGr+rZcHobf0bsBsCzbntm9niBalZ2ZZ4lNT2HHzaGEXj6FgAdmrvyxmhPXJ3LPosQQghRWRldhNetKyNjQhgjW5vN98dWc+Jm/uLmp1s9zuj2T6PRlP2Cx5DzcXz7ewhJaTlYWiiMG9iGob2bodFI60EhhBDClIwuwvfv32+KHEJUSfEZiXzht4jrqTex1FgyrdtYHmnsVeY5crU6ft4ZwV+HrwDQoLY9b47pQrP6zmWeRQghhKgKZNt6IczkXPwlFhxdQlpOOk62jrzd6yVauDYt8xzXY9JYsDaYazFpAAzq2ZgXnmqLrbX8eBBCCCFKi/yWFcIM9l/xZ1nwb+j0Opo4N+Bt32m4Vivbln+qqrLtyBVWb49Am6fHyd6amc91pnsb8+3EKYQQQlQVJi/CU1JSOHHiBGfPniUlJYWMjAwGDRpE7969Cx138eJFPDw8TH17Ico1nV7Hryc3s+PCPgB6NPDk5e7jsbW0KdMcyWnZfLM+lJBzcQB0bV2bmc91ooaDbZnmEEIIIaoqkxXhKSkpfPHFF+zYsYPc3NxCrzVv3rxQER4UFMSLL77Ik08+yccff4ylpQzIi8ovMzeLbwKWE3Yrvx3nyHaDebbNIEN3obJy7HQM320IIy0jF2tLDS8+1ZZBvZqUeQ4hhBCiKjNJ9Xv9+nXGjRtHfHz8XS0K7/WL/ZdffiE3N5ctW7ZQs2ZN3nrrLVPEEKLcirkdxxd+i7h5+xbWFla84jWRHg08yzRDdk4eK7adYXfANQCa1HXkree70LCOY5nmEEIIIQQY3QNNq9UydepU4uLiUFWVBg0aMHXqVD7++OP7nrNgwQK6dOmCqqqsXLmS8+fPGxtDiHLr1K2z/GfvfG7evkVNuxp83O/tMi/AL0Wl8PrXhwwF+DN9mvPVa49IAS6EEEKYidFF+B9//MH169dRFIUhQ4awa9cuZs2axYgRI+57jrW1NV999RWWlpaoqsrmzZuNjSFEuaOqKrsvHuSzwz+QkZuJR80mzOs/hyY1GpRZBp1e5Y/9F3nru8PcjE+nppMtn7zUkxefaouVpUWZ5RBCCCFEYUZPR/nnn38AqFOnDp9++mmx53fXqVOH3r17s2/fPgICAoyNIUS5kqfXsSpkPf9c9gPgkcZeTO36PNYWVmWWIS45k6/XhXD6ciIAPTu488qITjhUsy6zDEIIIYS4N6OL8AsXLqAoCn379sXKqmQFRrNmzdi3bx+3bt0yNoYQ5cbtnHQW+i/jTNwFFBSe7ziUp1r2L9OFj36hN/nxjzAysvOwtbbgpWfa069bQ1l8KYQQQpQTRhfhKSkpANSqVavkN/+/UfPs7GxjYwhRLkSlRvOF3yJiMxKws7RlpveLdKnbvszun5mtZfGfpzgQfAOAlg1rMOt5T+q62pdZBiGEEEI8mNFFuL29PampqSQkJJT43IIFmS4uZbtJiRClISQ6nG8DVpKVl03t6q7M9p1OA6e6ZXb/s1eT+Oq3YGKTMtEoMOKxFozq3xJLC6OXfgghhBDCxIz+7dyuXTtUVeXAgQPk5eUV+7yoqCgOHz6Moii0bdvW2BhCmI2qqvx1bg/z/RaRlZdNm1oefNp/TpkV4DqdnrW7z/HOj37EJmXi5lKNeTN8GDugtRTgQgghRDll9G/oIUOGABATE8Nnn312V5/we0lNTWXmzJlotVoAHn/8cWNjCGEWuTotPx7/mV9PbkZF5bFmvrzXeyaONmUz/SMmIYM5Pxzh93/Oo1ehb5f6fDerD22a1CyT+wshhBDi4Rg9HWXw4MGsWbOG8PBw1q1bx8WLF3nttdfo3LnzXcdmZ2eza9cuvv32W2JjY1EUhaZNm/LUU08ZG0OIMpeSlcqCo0u5kHgFjaJhYucRPNG8d5ksflRVlX0noli65RRZOTqq21ry8vCOPNK5fqnfWwghhBDGU9TiDF0/QHx8PM899xzR0dGGAqR69eqkp6ejKAru7u7Y2dlx/fp1dDodkF9E2Nvb8/vvv9O8eXNjI1RI/fr1A2Dfvn1mTiJK6mpyFF8cWURiZjLVrex4o+cUOtRpXSb3vp2Zy48bT3L0VDQA7ZrV5I3RnrjVqFYm9xdCCCGqktKq10yybX2tWrVYt24dc+fO5dChQwCGAhzyp6oAhaaq1KtXj++//77KFuCi4gqMCuHHYz+To8ulrkNt5vi+jLuDW5nc++TFeL5eF0JiajYWGoXnB7RiWF8PLDTSelAIIYSoSExShAPUrl2bJUuWcOjQIbZu3cqBAwfIysoqdIyiKLRs2ZKhQ4cyatQobG1tTXV7IUqdqqpsitjJhtPbAehYpw2ve0+iunXpj0Br83T8uuscmw9dQlWhXq3qvPV8V5o3cC71ewshhBDC9ExWhBfo3bs3vXv3Rq/XEx8fT3x8PNnZ2Tg6OlKnTh0cHR1NfUshSl1OXi4/Hf+FgKhgAJ5s0Y+xHZ/BQlP6W79Hxd5mwa/BXIlOBWCAd2MmPdUWWxuT//MVQgghRBkptd/iGo2G2rVrU7t27dK6hRBlIjEzmS+OLOJqchQWGgumdBnDo017lvp9VVVlp/81Vv51mtw8PY7VrXl1ZCd6tHMv9XsLIYQQonTJUJoQ/0ev13M24RLJWanUsHOitWtzLidf58sji0nJTsPRxp63er1Eq1qmXceg06tEXEkkKS0bF0db2jStSVpGDt+tDyPobCwAni3deG1UZ1wcZQqXEEIIURmYvAi/ffs2Bw8eJCIigps3b5Keno5er8fBwYF69erRvn17evfujb29bKMtyo9jN0JZHbKBxKwUw3P21tXI0majU/U0dKrHbN/puFU3bf9t/1PRLN0STmJqtuE5x+rW5On0ZGbnYWWpYeLgNgzu1RSNLL4UQgghKg2TFeGpqal89dVXbN26ldzc3CKPtbW1Zfjw4bz22mtSjAuzO3YjlK+OLr3r+fTcTACauTTigz6vY2tl2lFo/1PRzPv5xF3Pp2Xk//up5WzH3Mk9aOwu6yiEEEKIysYke1pfvnyZp556io0bN5KTk4OqqkX+ycrK4tdff2Xo0KFERUWZIoIQD0Wv17M6ZEORx6RkpWFtYW3S++r0Kku3hBd5jF5VaVDbwaT3FUIIIUT5YPRIeGZmJlOmTCEuLs7wnKenJ76+vjRt2hQHBwd0Oh2pqalcuXIFPz8/wsPzi48bN24wefJk/vrrL2xsbIyNIkSJnU24VGgKyr0kZiVzNuESbd1amOy+EVcSC01Bued9U7OJuJJI++auJruvEEIIIcoHo4vwNWvWGHbKrFWrFgsXLqRr1673PX7mzJkEBgby1ltvkZCQQGRkJL/88gtTpkwxNooQJZKn1xEcfapYxyZnpZr03qevJBTruKS0ogt1IYQQQlRMRhfhe/bsAcDKyoqVK1cWawfMHj16sGLFCoYPH05eXh67d++WIlyUmZtptzhw1Z9D146Rmp1WrHNq2DkZfV+dXuX4mRg2H7zM2WtJxTpHuqEIIYQQlZPRRXhkZCSKotCnT58SbUHfsmVL+vbty549e7h+/bqxMYQoUrY2G/+oEA5cOcr5xCuG5x2t7cnVa8nOy7nvuTXtatDa9eHbEmbn5rE/KIothy4Tk5ABgIVGwdJSQ06u7r7nuTrb0aapabuxCCGEEKJ8MLoI12q1ALRoUfL5si1atGDPnj3odPcvRIR4WKqqcj7hCgeu+uMfFUzO/xXaGkVDZ/e29G3SE8+67QmOPnXP7igFJnqOQKMp+RrmlNs57PS/yo6jVw0dT+ztrBjYszGDfZpy7lrSPbujFJjydDsspC2hEEIIUSkZXYTXrl2byMhIMjIySnxueno6AG5ubsbGEMIgJSuVQ9eOceCqP9G3Yw3Puzu40bdJT3o37lFoeolX/c682WvqXX3Ca9rVYKLnCLzqdy7R/W/Gp7Pl0GX2n4gkN08PgJtLNYY+0ozHujfE7v+2m+/ZoS7vTuh2V59wV2c7pjzdjp4d6j7Mly+EEEKICsDoItzb25vr169z8uTJEp8bEhKCoih4e3sbG0NUcXl6HWExp9l/xZ+QmNPo1fzi18bCGu+GXXi0SU9aujZDUe49suxVvzPd6na8a8fM4o6Aq6pKxNUkNh+8xPGIW6hq/vMeDZwZ1rc53u3csbC4+1o9O9TFq537XTtmygi4EEIIUbkZXYSPHz+eP/74g9DQUI4cOYKPj0+xztu7dy+nTp3C0tKScePGGRtDVFH5iywDOHQtsNAiyxY1m/Jo0554N+iCXTE32dFoNCVuQ6jTqwSGx7D54CXORyYbnu/epg7P9GlG26Y171v4F7DQKNKGUAghhKhijC7CmzZtyty5c5k7dy6vv/46n376KU888USR52zfvp33338fRVGYM2cOzZo1MzaGqEIMiyyv+nM+4bLheScbBx5p7EXfpj2p7+heuhly8th7IpKthy9zKzF/Z00rSw2Pdm3A0480k012hBBCCFGkYhXhffr0eeAxFhYWpKen8/rrr+Pq6oqFhcU9j9PpdCQkJKCqKra2tuzbt4/g4GC++eabkuQWVUxxF1laau79985Ukm9ns+PIVXb6X+V2Zv6iZIdqVgzq1YQnezWhhoO0FBRCCCHEgxWrCL9169YDP1IHDMckJDx4IxJFUcjJyeHYsWPFiSCqqPsusrR3o2/TnjzS2AsXO+dSzxEVezt/sWVQFHm6/Pnm7jWr83TvZvTr2gBbG6M/VBJCCCFEFVLsykEtWGlWCopT4Iuqo8hFlg268GjTohdZmoqqqpy+ksjmg5c4EfH/3wC0bFSDYX2a49XOXRZQCiGEEOKhFKsI37dvX2nnEMKwyPLwtUBS/rXIsm8Tb3o27FrsRZbG0On0+J+K4c9Dl7gUlQKAokCPdu4807s5rZu4lHoGIYQQQlRuxSrC69WrV9o5RBX1wEWWTXpS36l0F1kWyMzWsvd4/mLLuOQsAKwtNfTr3pChjzSjbi37MskhhBBCiMpPJrKKMqeqKhcSr7D/SuFFloqi0Nm9HY+W0SLLAompWWw/cpVdAdfIyMpfbOlY3ZrBvZowqFcTnOxtyiSHEEIIIaoOKcJFmUnJSuXw9WMcuBLAzdu3DM+X9SLLAtdj0th86BKHQm6Qp8tf81DXtTpD+zTn0a4NsLEqmzcBQgghhKh6TF6Ex8bGEhsbS2ZmZokWc8qumZWTYZHl1QBCosPvWmTZt6k3rVybl9niXFVVOXUxgT8PXSLkXJzh+TZNXHimT3O6t6mDRhZbCiGEEKKUmaQIV1WVn3/++f+1d99hTV3/H8DfQVmCggpYxYmIWuseWCeCtq4KWtE6EK3Vr1VrscNVXC39Oqql1da2atWqtVWrIogLQVAr7q1YK+ACRYaAiKwkvz/45v4SMggEQ0jer+fheZLcc889uSeHfHLvGdi6dSseP35c5v1FIhFu3bpVEUUhA5Gc/QRRGgZZvtm4M2qYW+utPEViCU5dTca+6LtISMoCAJiJgDfbNoCPR3O0asLBlkRERKQ/FRKEz5o1C8eOHQPwaqcyJMOmbpBlLUtb9GnaHZ56HGQpk5tXiKNn72P/iQSkZRYPtrS0qIYBXRtjWJ/mqO9go9fyEBEREQEVEISHhYUhIiICIpEIUqkU5ubmaNCgAZycnCqifGTgDG2QpUxa5kuEnUzA4TP3kJtXBACwr2mJob2aYdCbzVDLxkKv5SEiIiKSp3MQHhISIjz29vbG3LlzUacOb+0bO0MbZCmTmJyFfdF3ceJyEsSS4rsyDZ1sMdzDFR6dGsKCgy2JiIjIAOgchMfFxUEkEqF58+ZYsWJFRZSJDJRYIsZlAxpkKSOVSnH5Tir2Rd/FlTupwutvNK+L4R6u6NKqHgdbEhERkUHROQjPzi4edNezZ0+dC0OGSd0gyxZ1m8GzWQ+9D7KUKSyS4OSVR9gXHY97j4vLZSYCerZ3hk/f5nBrXFvvZSIiIiLShs5BuL29PdLT01G7NgMeY5JXmIfYh5cQZUCDLGVevCzEkTP3EHoyAelZeQAAK4tqeMu9CYb1aY56dWpUSrmIiIiItKVzEN6sWTOkp6fj6dOnpSemSiORSBCXdhfPXmahtrUdWju4wszMTCGNbJDl8f8NsszT4yBLsUSKWwnpyMjOQ51aVnjdpS6qlehC8vRZLsJOJuDImft4mV882LJOLUsM7eWCQW82hW0NDrYkIiKiqkHnIHzIkCE4f/48jh07hrlz58LSkkt8G5qzjy5jy6VdSH+ZKbxW19oeEzuNgnvDjsjMy8aJe2cqbZDl6WvJWB9yXbiqDQB17aww1acterRrgLuPMhESHY+TV5Mg+d9gy8av1cTwvq7o28kZ5tU52JKIiIiqFpFUx4m9CwoK4O3tjXv37qF///5Yvnw5bGw497I2vLy8AACRkZGv7BhnH13G6r/Xq93evE4TJD57qDDIsnujTvB06aGXQZanryVj2W/n1W5v8lpN3H/yXHjevoUDhnu4olNLJ70PACUiIiLT86riNZ2vhFtYWOC7777D5MmTcezYMbzzzjsYMGAAWrVqVaYgycfHR9eiUAkSiQRbLu3SmCY+4z6A4kGW/Zr1QA89DrIUS6RYH3JdY5r7T55DJAL6dmwIn77N0byhvV7KRkRERPQqVciKmS4uLujRowdCQ0ORnJyMrVu3lml/kUjEIPwViEu7q9AFRZ0Pu/qhn0uPV1+gEm4lpCt0QVHns3Gd0adjQz2UiIiIiEg/dA7CJRIJpk6dijNnzghXvrl0vWF49jJLq3Tm1cxfcUlUy8guPQAHAH6ciIiIyNjoHITv3r0bsbGxwrL1tWrVQosWLfDaa68pzb5B+lXb2q5C01W0OrWsKjQdERERUVWhcxAeFhYmPB4xYgQWLFgAW1tbXbOlCtDawRV1re01dkmpa10brR1c9VcoOa+71EVdOyuNXVIc7K3xuktdPZaKiIiI6NXT+VJ1YmIiRCIRGjdujC+//JIBuAExMzPDxE6jNKaZ2Mm30u5YVDMTYapPW41ppni/oTRfOBEREVFVp3P0JVu23t3dHdWrV8g4T6pA7g074tOeU1G3xDzfda1r49OeU+HesGPlFOx/erRrgPn+XVHXTrHLiYO9Neb7d0WPdg0qqWREREREr06FLFuflpYGJyeniigPvQLuDTuia4P2pa6YWVl6tGsA9zfql7piJhEREZGx0DkIf+ONNxAdHc1l6w2cmZkZ2ji5VXYx1KpmJkJbV4fKLgYRERGRXuh8KXTIkCGQSqWIiopCUVFRRZSJiIiIiMio6RyEDx06FB06dEB6ejqWLFnCOcKJiIiIiEqhc3eUv/76C56enrh+/Tr27NmDW7duoW/fvmXO5+OPP9a1KEREREREVYLOQXhgYKCwUiYAxMXFIS4ursz5MAgnIiIiIlNRIXMK6toFRT6IJyIiIiIydjoH4TNnzqyIchARERERmQwG4UREREREemYYq7UQEREREZkQBuFERERERHrGIJyIiIiISM907hPu4eGhcyFEIhGOHz+ucz5ERERERFWBzkH4kydPyjzFYMkpDTlFIRERERGZkkqbJ1wWeHOZeyIiIiIyNSKpjlFwUlJSmfcJDQ3FunXrUFRUhOnTp2P69OmoVq2aLsWoktq2bQuxWIz69etXdlGIiIiISIXHjx+jWrVquH79eoXmq3MQXl67du3CokWLYGZmhtDQULi6ulZGMSpVly5dUFBQAEdHR70c7/HjxwDAoF8DniPTwHo2Daxn08B6Ng2VWc+pqamwsLDAhQsXKjTfSgvCAWDAgAF49OgRRo8ejSVLllRWMUyGl5cXACAyMrKSS2K4eI5MA+vZNLCeTQPr2TQYYz1X6hSFPXv2hFQqxfnz5yuzGEREREREelWpQbiDgwOA4hlWiIiIiIhMRaUG4U+fPgUAFBYWVmYxiIiIiIj0qtKC8IyMDERFRQH4/yviRERERESmQOd5wiUSidZpxWIxnj59iqtXr2LdunVIS0uDSCSCu7u7rsUgIiIiIqoydA7C27Rpo1sBqlfHpEmTdC0GEREREVGVofMUha1atYJIJCrXypdWVlb4+uuvMWTIEF2KQERERERUpeh12XqRSAQbGxs0btwY3bt3x5gxY9CoUaOKKAIRERERUZVRqYv1EBERERGZokqdopCIiIiIyBQxCCciIiIi0jMG4UREREREesYgnIiIiIhIz7SeHaV169avrBAikQi3bt16ZfkbOqlUirNnz2Lv3r24efMmwsPDtdovIiICISEhuH79OjIyMlCjRg00bNgQHh4e8Pf3h52dXal5nDlzBrt378alS5eQnp4Oc3NzNGjQAL169YK/vz9ee+21UvO4efMmduzYgXPnziE1NRUikQj16tVD9+7d4efnh+bNm2v1fkrKzMzEH3/8gZiYGCQmJiInJwe2trZo0aIFvLy84OvrC1tbW7X7Dx8+XOvP1cqVK+Ht7a1ymyGfI2PQrVs3ZGVlaZX2999/R5cuXZReN/a2UFV5enoiKSmpzPt169YN27ZtU3iN7dnw8LsLuH//PrZt24a///4bKSkpEIvFcHBwQNeuXTFmzBi0b99eq3NiyMpTz7m5udi9ezeioqJw584dPH/+HNbW1mjatCn69u2LsWPHok6dOhrzmDlzJiIiIrQq48cff4zp06er3GbI9az17Ci6zAdeaiFEIsTFxVV4voYuKSkJ+/btw969e4UvKmdnZ0RFRWncr7CwELNnz9b44axduzY2bNiAtm3bqk3z1VdfYfv27Wq316hRA8HBwfDw8FCbZv369QgODla7cqq5uTkWLVqEUaNGqc1DlePHj2POnDnIzs5Wm8bZ2Rk//vij2h+IPXr0QHp6ulbHU/elbcjnyBjk5eWV6Z9XySDcFNpCVVbeILxPnz7YsGGDwmtsz4aD313F9u/fj8DAQBQUFKjcLhKJMH36dMyaNUttHoasvPV89epVzJo1C0+ePFGbxt7eHsHBwejRo4faNL6+vrh27ZpWZVUXhBt6PZcpCK8oIpFIeCyVSk0qCM/Ly0NERAT27NmDM2fOKP2o0eYD/uWXX+L3338HADg5OcHX1xdNmzZFVlYWDh06hIsXLwIo/md26NAh1K5dWymPX3/9FStXrgQA1KpVC76+vmjZsiVyc3MRHR2N6OhoAICFhQVCQ0PRrFkzpTwOHz6Mjz/+GABgaWmJkSNHom3btigqKsKZM2cQHh4u1O9vv/0Gd3d3rc5RbGwsPvjgAxQVFUEkEqFv377o3bs37O3tkZycjH379iEhIQEAULduXYSFhaFu3boKeRQWFqJt27aQSqXo168ffHx8NB6zXbt2aNCgQZU5R8bi/v37eOuttwAA7777Lvr06aMxvbu7u8Ln2djbQlUXExODly9fapX2+vXr2LhxIwBg9erVGDp0qLCN7bny8btL0ZUrVzB27FiIxWKYmZlh2LBh6Nq1K8zMzHDlyhXs3bsXhYWFAIAVK1aU+pk1FLrW87///ovRo0fjxYsXAICuXbvCy8sLjo6OSEtLQ3h4uBBYW1tb46+//oKrq6vKvPr06YOUlBS0b98e77//vsZyt2jRQumKdpWoZ6mWHj16pPNfRESEtE+fPtJWrVpJW7VqJW3ZsqW0bdu20p9++knbYlR5mzdvlrq5uQl/bdq0kU6fPl3apUsXqZubm7Rfv34a909MTJS2bt1a6ubmJn3rrbekGRkZCtslEol06dKlQv7Lly9XyiMrK0vaqVMnqZubm7R79+7SBw8eKKXZsGGDkMdHH32ktF0sFks9PT2lbm5u0rZt20qvXr2qlCY8PFzIY/jw4aWdGqlUKpUWFBRI+/fvL3Vzc5O2atVKeujQIaU0+fn50g8++EDIe9myZUppHj58KGzfuHGjVseWZ8jnyJicOXNGeP+q6loTY28LpmbatGlSNzc3ae/evaWFhYUK29ieKx+/uxSNGzdO6ubmJm3ZsqX02LFjStvPnz8vbdOmjdTNzU3as2dPaUFBgdpzY0h0rWfZeXFzc5Nu3rxZabtYLJYuWLBASDNz5kyV+RQVFQmfl6VLl5b5fVSVetZ6YKazs3O5/xwdHbFz504EBATg6dOnsuAfnTp1QkhICKZNm1a2Xw5GoE2bNggMDMSJEyfw448/ombNmlrtd+DAAYjFYgDAnDlzlK4UiEQizJkzR+hrFRYWpnQbJioqCjk5OQCADz/8UOWqpZMnT4abm5uQ/vnz5wrbL168iEePHgEAxowZg3bt2inlMXjwYOF24M2bNxEfH1/q+4uNjcWDBw8AFN+KGjhwoFIaCwsLBAUFoVq1agCKu66UlJKSIjyuX79+qcctyZDPkTGRr6eSVy5LY+xtwZQkJiYK7Xj8+PGoXl1xuBLbs+HgdxeQnJyM8+fPAwD69+8PLy8vpTy6dOkidHFITU1FbGysUhpDVp56jo+PF85Lr169MHHiRKU0ZmZmCAwMhL29PQDgxIkTwudCXlpamvB6edp8VannVz47yoULF+Dt7Y0NGzagqKgIUqkU1tbWWLhwIXbs2AEXF5dXXQSD4u7ujgMHDmDv3r3w8/MrdWBCSadPnwYA2NjYqL11b2VlhX79+gEo/lAkJiYqbP/777+Fx4MGDVKZh0gkEgLgwsJCXLp0qcx5lNx29uxZtelkZLcjS8u3Xr16wi2sx48fK23XJbgDDPscGRNdgitjbwumZPPmzcJ3g6q+mWzPlY/fXWXPY/DgwWrzMFS61LP8udZ0XqytrdGpUycAxd1fnj17ppRGH22+5LbKqOdXFoS/ePECS5cuxYQJE3Dv3j2hX1Hv3r0RHh6OcePGvapDG7TWrVujRYsW5d5f9kutRYsWMDc3V5uuTZs2wuN///1XZR6Ojo5wdHTUKo+7d++qzEMkEmmcOUdTHqo4ODigV69e6NWrV6k/0GTv38rKSmmb7I4LUL4GbMjnyJjI/tFaWFjAwcGhTPsae1swFenp6QgJCQEAeHt7C1fI5LE9Vz5+dynnAWieOU5+W1X5LOhSzzY2NsL3d2kz6sl/BlR9h+sahFeVetZ6isKyiImJweLFi5GSkiIE3/b29pg/f77aaaOodC9fvkRmZiaA4ivBmshPz5SWlqawTXbluCLysLe3h6Wlpdo85K9ulsxDFT8/P/j5+ZWarqCgAPfv3wcAlbeZZKOyq1evjosXL2L//v24c+cOUlNTUbNmTbRt2xYjR47EgAEDVOZvyOfImMj+0datWxf79u1DaGgoEhISkJGRgdq1a6Njx44YN26c0oAZU2gLpmL79u3Iz8+HSCTChAkTVKZhe67ajK29yt991TQVoo2NDezs7JCVlYXU1FSNZTYGgwcPVrgqrInsB5aLi4vKqYblZ1ZJSEjAli1bcOvWLaSkpMDa2hotW7aEt7c3hg8fDjMz5evJVaWeKzQIf/bsGYKCgnDw4EEAEALwwYMHIzAwsMy3r0iRbLQxoPqXo7waNWoIj3Nzc1XmU5Y85I9dljysra3V5qGLw4cPC339VI1GlgV3RUVFCAgIUNiWnp4ujKIfMmQIVqxYoXRlxhjOUVUgq6fHjx9j/vz5CtuePn2KI0eO4MiRI3j//fcxd+5cYRvbgnHIy8vDH3/8AaD4Lqm6+XrZnqs2Y2uvZXk/1tbWyMrKUnovpuzixYvCDGfqZhORvxK+YMEChW35+fk4e/Yszp49i/3792PdunVKgXxVqecKC8JDQ0OxbNkyZGZmCsF3vXr1sHjxYnh6elbUYUxafn6+8FjVLz958ttLzm0py6csecim4ClrHrLBk6rKUV7Z2dlYvXo1AKB58+Yq+2rJN+A6derg3XffRdOmTSGVSnHu3DmEh4dDLBYjPDwcderUQWBgoML+Vf0cVRXy9eTs7AwfHx80atQIeXl5OHnyJCIjIwEAmzZtgpOTEyZNmgSAbcFY7NmzR+gP6u/vrzYd23PVZmzttSzvR5YPPwvFCgsLERQUBKC4LY8dO1ZlOvk2b2NjgxEjRsDV1RWWlpa4evUq9u7dKwTjn332GX7++WeF/atKPeschD958gSLFi3CyZMnAfz/vN++vr6YM2eOxhUNqWyk5Vwoqbz7VXQeFUEikWDOnDl48uQJzMzMsHTpUoVGJDN58mS0aNECYrEY8+fPh42NjbDN19cXo0aNwpQpU/Dy5Uts374do0aNEkbUl5ehnKOqZPbs2Th79ixq166N2bNnK1zBHDNmDA4ePIhPP/0UEokE3333HXx8fFC7dm22BSMgkUiwZcsWAMX9hHv16qU2Ldtz1cb2SjJff/21sPLtvHnz1M66MnLkSNjb2yMtLQ2BgYEKa4EMHz4c48ePh7+/P9LS0nD8+HHExMSgb9++enkPFUmnIPz333/Ht99+i9zcXOGD3qRJE3z11Vfo1q1bhRSQSN6KFSuEqcymTp2Krl27qkzn5eWlcjohma5duyIgIADLli2DVCrFX3/9pXTLi149Hx8fjYsbDB48GJcuXcK2bduQl5eH0NBQjVdMqeqIiIgQpiNV1xdchu2ZqOrbunWr0P1s6NChGscIuru7a1zsytXVFUuWLMHMmTMBALt27aqSQXi5ZkdJSEjA2LFjERQUhBcvXkAqlaJatWqYPHkyQkNDGYAbGPkVSqtyHhs3bhSunHl4eAgrYZWXr6+vcOX1woULOuUFGMY5Mkbytyt1rSdDqSPWc3EXI6B4dcSKGLDP9mx8DKUODCWPquzgwYNYtmwZgOIZSWRdUnTRv39/ODk5Aai6bb5MQbhYLMZPP/2E4cOH4/Lly8LV71atWmHXrl34/PPPNY5CJd1YWFgIj0v2cytJfpED+YEHwP9PDVRaHvK38cqbh6ZylMW+ffuwatUqAMWzoQQHB5faR6s0NjY2wpLGSUlJCtuq4jkyVi4uLkL3A1k9mXJbMAYXLlzAlStXAACjR4+ukO8NtmfDZWzttTzvx5Q/C6dPn8acOXMgkUjQuHFjrF+/vkLOh0gkEqYYzMzMFBZyAqpOPWsdxdy4cQMjRozAmjVrkJ+fD6lUCktLS8yePRt79+5VmGuRXg1No8ZLevnypfBYvv+k/PPS8pDf/iry0Nbx48cRGBgIqVSKFi1aYMOGDQrnQheyMQvyjReoeufI2JWsJ1NtC8ZCdhXc3Ny8QteMYHs2TMbWXsvzfkz1s3D9+nXMmDEDhYWFcHR0xKZNm8q8JoQm8uMO5WczqSr1rHWf8NGjR0MikQgDL4HiOVt37dqFXbt2lemgJYlEIhw7dkynPEyBra0tbG1tkZOTg+TkZI1p5efYLDnRvZOTEzIzM3XO4+bNm8jJyUF2djZq1aqlMg9dJ9y/ePEiAgICUFRUBGdnZ/z6668qF/OQFxcXJ1wJ8/T01HjFXPZlXbLhVKVzVFVdunQJGRkZsLS0RO/evTWmlU1HKasnU2wLxkJ+ifpBgwYJt5PVYXuu+oytvcrPU56cnAw7OzuVebx8+RJZWVkq8zAFiYmJmDp1KnJzc2FnZ4dNmzahUaNGWu0nWyinR48eGi+6yf/glm/3VaWetb4SLhaLASj2d8nNzUVycjKSkpKQnJxcrr+kpCSlW4eknmwlq/j4eI1z0MbFxQmPZcu7y8hmDXj+/LnSssBlzQMArl27pjYP2ShoVXmU5s6dO/jwww+Rl5cHBwcHbN68udRFGgAgMjISM2bMwIwZM3D79m216fLy8oT37+zsrLCtqpyjqmz37t2YMWMGpkyZonLZYpkHDx4IVyHk68mU2oIx2bx5s3DrduLEiaWmZ3s2DsbUXuVXlNSUR1xcnNA1Rt0c+MYqJSUFkydPRkZGBmrUqIH169drPWPRlStXhDYvv3S8KrL/Cfb29gpXxatKPZepU61UKlX5p2lbaX9UNm+++SaA4v5Jhw8fVpkmLy9PmF+5WbNmSr/MZHkAQFhYmMo8pFKpsOiSra0t2rdvX+Y8ACA8PBxA8Y+3Hj16qE1XUlJSEj744ANkZWWhZs2a+PXXX9GkSROt9u3cubPw+NChQ2rThYWFCf28Ss6yUhXOUVXXqVMnAMXn8ciRI2rT7d27V3gsX0+m0haMSUZGhrBEfZcuXbTqxsj2bByMqb3KP9eUh6wcADROwWlssrOz8cEHHyApKQnm5uZYu3YtOnTooPX+su8GQHObj42NFVa17NKli8K2qlLPWgfhW7dufWV/v/32W5kKbcqGDRsmzIsdHBys8i7CqlWrkJ6eDkD1alQDBgwQbtts3rwZN2/eVEqzZcsW/PPPPwCKp4mTH6AAAN26dROuNoWFhSEmJkYpjyNHjgi3nXv06FHqbWeZjIwMTJ48GSkpKbCyssLPP/+MVq1aabWvrGyyW16bN2/G2bNnldLEx8cLC/6IRCKMGjVKYbuhnyNj8Pbbbwu3CFetWoW7d+8qpblw4YLQf9ja2hrDhg0TtplCWzA2siXqAe2uggNsz8bCmNpro0aNhB+H58+fx86dO5XyuHz5svB606ZNlX4MGKu8vDxMmzYNd+7cgZmZGb755psyB6ZNmjQRZtkLDw9HaGioUprU1FQsXrxYeF6yzVeVehZJeTnaIHh6eiIpKQnOzs6IiorSmParr77C9u3bAQB2dnbCwhTPnz/H4cOHce7cOQBA/fr1cfDgQZX9qTZt2oQVK1YAKF6O1dfXF2+88QYKCgpw/PhxoQy2trY4ePCgym4gR44cwaxZswAUrxbl7e2NLl26QCQS4cyZMwgLC4NEIoG5uTl27typ1VWv3NxcTJgwAdevXwdQPGF/af2FZQYOHCg8PnHiBKZNmwaxWAyRSIQhQ4agQ4cOqFWrFm7cuIG//vpL6OIwadIkzJs3r8qcI2Oya9cuLFy4EEDxIL3hw4fj9ddfh5WVFS5cuICQkBAUFRUBAAIDA+Hn56ewvzG3BWOTl5cHDw8PPHv2DA0bNkRERITWMxyxPRsuU/3uunr1KsaMGSN01X3rrbfQp08fmJub4+rVq/jrr7+E1RPXrVuncZ77qkCbehaLxZgxY4YQ2Hp6emo9/Wjfvn0VZha5ffs23nvvPWHAo4eHB7p37466desiPj4ef/75JzIzMwEUX9BZs2aNUp5VoZ4ZhBuIsvwjKywsxCeffIKjR4+qTVOvXj1s2rRJY5/EoKAgbNu2Te32WrVq4ccff9Q47/vGjRuxevVqhWl+5FlaWmL58uUYPHiw2jzknT17ttSFO9SRXf2QCQsLw8KFCxVG25c0evRoLFq0CNWrqx6jbIjnyNhs2rQJq1atEv7JlSQSiTBz5kxhUQZ5xtwWjM3vv/+OL7/8EgAwf/58ra+Ey7A9GyZT/u4KCwvDggUL1C5VXq1aNXz++eeYNGmS2jyqCm3q+dGjR+X+sREZGYmGDRsqvBYbG4uAgAAh2FalX79++Pbbb9UO3jT0emYQbiDK8o9MJiIiAvv27cP169fx7Nkz1KhRA40bN4aXlxf8/PwUBimoc/bsWezcuROXLl1Ceno6LCws4OzsjL59+8Lf31+rqYRu3bqF7du349y5c0hNTYWZmRnq1auHXr16YcKECWjcuLFW70dWnooKwoHiEc3btm3DqVOn8OjRIxQVFcHBwQGdOnXC6NGjtVpYytDOkTG6e/cutm3bhjNnzggzGzg5OaFbt24YP348WrdurXF/Y2wLxkQikWDgwIG4f/8+bGxscOLECa3qpCS2Z8Nj6t9dDx48wNatW3Hq1CmkpKRAIpHA0dER7u7uGDduHF5//XWtzomhq4wgHCjunrpjxw5ERUXh3r17KCgoQO3atdG+fXv4+Pigf//+peZtyPXMIJyIiIiISM90W3KQiIiIiIjKjEE4EREREZGeMQgnIiIiItIzBuFERERERHrGIJyIiIiISM8YhBMRERER6RmDcCIiIiIiPWMQTkRERESkZwzCiYiIiIj0jEE4EREREZGeMQgnIiKdrV27Fi1btkTLli0RHBxc2cUhIjJ41Su7AERElSUnJwf79+/HyZMnERcXh8zMTJiZmcHJyQkuLi54++23MWDAANjY2FR2UakcMjIysGfPHsTGxuLOnTvIysqCpaUlnJyc0LJlSwwaNAgeHh6wsLBQm8eCBQtw8OBBNGrUCOvWrUOjRo30+A6IyJgxCCcikxQWFoagoCBkZmYqbbt37x7u3buHqKgofPPNN1i4cCEGDhyo/0JSuW3ZsgXBwcHIy8tTeL2goADPnz9HfHw8Dh48iMaNG+Orr75C9+7dlfJ49uwZ9uzZAwC4c+cOjh07hkmTJuml/ERk/BiEE5HJ+fXXX7Fy5Urhef369fHmm2+iQYMGAIDHjx8jNjYWycnJSEtLw8cff4xPP/0UU6dOrawiUxl89dVX2L59u/C8adOmcHd3h5OTE8RiMR49eoRTp04hIyMDDx48wMSJE7Fq1SoMHTpUIZ/atWtj+PDhOHToEBo1agQvLy99vxUiMmIMwonIpFy7dg2rVq0CAIhEIsyZMwcTJ06EmZniEBmxWIwdO3Zg2bJlEIvF+Pbbb+Hq6gpPT8/KKDZp6fDhw0IAbmFhgaCgIHh7eyulKygowA8//IBffvkFUqkU8+fPR9OmTfHGG28opFu+fDmWL1+ul7ITkWnhwEwiMim//vorJBIJAGD8+PF4//33lQJwAKhWrRr8/PwQEBAAAJBKpfjmm2/0WVQqh40bNwqPP/30U5UBOFAcoH/yySd47733ABQH5RxQSkT6xCCciEzKhQsXhMfDhg0rNb2/vz+sra0BAAkJCfjnn39eWdlIN/n5+bh+/brw/J133il1n//85z/C49OnT+P58+evpGxERCWxOwoRmZSsrCzhsTaznlhaWsLFxQU3b94EUByIt2zZUimdRCLB0aNHceTIEVy7dg1paWkQiURwcnJCx44dMWrUKHTu3FntcTw9PZGUlAQAuHnzJrKzs7F9+3bExMTg4cOHePnyJRwdHdG5c2eMHz8e7du3F/a9f/8+/vzzT5w4cQJPnjxBYWEhnJyc0K1bN0ycOBFubm4qj7l27Vr88MMPAID169ejV69eCAkJwcGDB3H79m1kZWXB3t4e7dq1g6+vL/r161fq+dJGTk4OduzYgYiICMTHx6OwsBAODg5o3749vL29y30c+boFAFtb21L3adCgAezt7ZGZmQmJRILExES0a9dO2C5fL0ePHkWTJk2EbX5+fjh37lyZyjh8+HC13VvEYjHCw8Oxf/9+3LhxAy9evICdnR3c3NwwYMAAjBw5UuNMLkRUtTAIJyKT4uTkJARVsbGxaN68ean77NixA2KxGEBxUF7S3bt38fnnn+PWrVtK2+7fv4/79+8jJCQEY8eOxaJFiyASiTQeLyYmBnPnzlW6KpuUlISkpCSEh4dj4cKFGDNmDLZv346VK1ciPz9fIe3Dhw/x8OFDhIaGYsWKFRgyZIjGYyYmJmLt2rUKV5IBIDU1FZGRkYiMjMQ777yD5cuXo3r18n91XLlyBTNmzEBaWprC68nJyUhOTsahQ4fg4eGB4OBg1KhRo0x529vbw9zcHIWFhQCKr2xrE9BHR0cLXZRkdz30LTU1FdOnT8e1a9cUXk9LS0NaWhpOnz6N3377Db/88guaNm1aKWUkoorFIJyITIqnpye2bdsGAAgODoabmxu6deumcR8rKyu12xITEzF+/Hg8e/YMAGBnZwcvLy/Ur18fGRkZuHDhAv79918AxcF83bp1MXPmTI3H++ijjyAWi9GhQwd06NABVlZWuH//PqKiopCfnw+xWIyvv/4a8fHxwnvp2LEjunXrBgsLCzx48ADHjh3DixcvUFhYiAULFqBTp06oX7++2mOuXLkSYrEY9vb28PT0RIMGDZCZmYno6Gg8evQIQPG0jjVq1MCXX36psfzq/P333/jwww+FHwxt2rRB9+7dUaNGDdy7dw+RkZHIzc1FdHQ0PvroI2zcuLHUHyzyLCws0KtXLxw/fhwAsHjxYjg7O6u9EyBT3sB71KhR6N27t8Y0t2/fRnh4uPC8b9++SmlSUlIwZswY4cdh/fr10a9fPzg4OCA1NRXHjx/HkydPcO/ePYwfPx6hoaGoU6dOucpMRIaDQTgRmZSpU6ciLCwMmZmZyMnJgb+/P3x8fODv749WrVqVOb+goCAhAB86dCi+/PJLhW4uEokE3333HX755RcAwIYNG/D+++9rvMprbm6ONWvWoH///gqvP3jwABMmTMDjx49RWFiIbdu2QSQSYcWKFUoDEFNSUjBixAikpaUhLy8Pu3fvxqxZs9QeUywWY8iQIfj6668VgtJ58+Zh5cqV2Lp1KwBg165d8Pb21ti1RpXnz59j3rx5yM/Ph5mZGf773/9i+PDhSmWeMmUK/vnnH5w6dQohISFKaUoTEBCA06dPIz8/HykpKXj33Xfx3nvvwc/PD40bNy5TXqUprc95Tk4ORowYITz39fXFoEGDlNItWrRICMDfe+89fPHFFwrdThYsWIAFCxYgLCwMqamp+Oabb7Bs2bIKehdEVFk4MJOITIqTkxM2bNgABwcHAMVB8t69e+Ht7Y133nkHwcHBuHLlCqRSaal55ebm4vTp0wCKr6Z+/fXXSv3MzczMEBAQIKy0mJeXh0uXLmnMNyAgQCkAB4DGjRsLs7XI+Pn5qZwBpF69egrzml+8eFHjMTt27IhvvvlG6aqwubk5vvjiC/Tp0wdA8SwxsoC8LNatW4enT58CAKZMmaIyuK5Xrx6+//57VKtWDQCEq/xl0apVK3z//ffCj5yCggJs3boVb731Fnx9ffHTTz/h9u3bZc63PJYsWYL79+8DAFxdXfHFF18opYmOjkZ0dDQAoHPnzli0aJFSv28LCwssW7ZM+AwdOHAAGRkZr7bwRPTKMQgnIpPTrl07hISEwNvbW6G7w507d/Dzzz9j9OjR6NevH4KDg4XAURUrKyv8/fffiI2NRUxMjNpuK2ZmZnj99deF56mpqRrLp2ku8k6dOik8l7/SWlLbtm2FxykpKRqP6e7uLgS/qsgH/8ePH0dRUZHG/ORJJBIcOHAAQPE5mzFjhtq0zZo1E8p98+ZN4S5DWfTr1w/79u2Dh4eH8JpUKsW1a9fw3XffwdvbGwMHDsSGDRuUBnNWlH379iEsLAxA8TiCb7/9VmW3l/379wuPAwIC1NaBubm5cBW9oKAA58+ffwWlJiJ9YhBORCbJ0dERK1euxKFDh+Dv7w9HR0eF7Y8fP8bPP/+M/v374+effxYG7skzMzNDnTp1UKdOHdjZ2Wk8nnz3k7IEsCW99tprCs81daGRf08vX74s9zGB4v7bsj7l+fn5uHv3rtb7Xrt2Tfgx07VrV5WDW+U1bNhQeFzeq9ZNmzbFL7/8gr1798LX11epfhITE7Fq1Sr0798fu3fvLtcx1Ll3755Cv/n58+ernFFHLBYL/ddtbGzQsWNHjfnKroQDQFxcXAWVlogqC/uEE5FJa9asGRYsWIB58+bh8uXLOHbsGI4cOSL00c3Pz0dwcDAuXryIdevWwdzcXGU+2dnZCA8Px8mTJ3Hnzh1kZGQgNzdXq24tZVFyYSFNAxflt1VEOVxdXfH48WMAxTO1aNuH/sGDB8LjkydPqgxI1SnPlXB5bdq0QVBQEBYvXoxz584hIiICERERwuws2dnZCAwMxNWrVxEUFKTTsYDiq9SffPIJcnNzAQBvv/02xowZozJtWlqa8OPoxYsXSqt1apKZmalzWYmocvFKOBERioPbzp07Y+7cuYiMjMSmTZvQpUsXYfuJEyewcuVKlfuGhIRgwIABWLJkCSIjI/Hw4UO8ePGiwgPwyiZ/Nbksi9qU1v1GkxcvXpR7X3nm5ubo2bMnlixZgpiYGKxZs0bhx8Du3buxZcsWnY+zatUqYU55Z2dnjYG9pq5Opamo80JElYdXwomIShCJROjZsyd69uyJ1atXY/369QCAP/74A9OmTUPdunWFtLt370ZgYKDw3MbGBl26dIGLiwtsbW2FQXaHDx8WgrOqSjZXelnl5eUJj7t161bqtH7y5Pu1V5Tq1avj7bffhpeXF+bPn4/Q0FAAxQsWjR07ttwL4kRHRwuDVqtXr45Vq1ahVq1aatPLz+1ev359jB07VutjtWjRolxlJCLDwSCciExGbm6u0B/byspKq2Br9uzZOHjwIB49eoTCwkLExsZi6NChAIqvBv/3v/8V0k6YMAEBAQEqV+JMSEio8kG4fNcQbVajlJEPRF1cXBRmbalIOTk5Qt/9GjVqlLqoUPXq1bFkyRIcO3YMubm5SE9Px82bN0vtm61KSkoK5s2bJ9z9+Oijj5QG0ZZUs2ZN4bG1tfUrOy9EZJjYHYWITEZAQAC6du2Krl27YufOnVrtY2ZmprCMuaxPNFDcv1nW97dz58744osvVAbgxkJ+MKb84MnSyC8S9CqnBxw9erRQvydOnNBqHxsbG4WryvL1qy2JRILPP/9c+JHy5ptvahVQv/baa0K//QcPHgifJSIyDQzCichkyC9RX9q82fLk+z/Lz3IiW0kSgEKgboyuXbsmDGa0srKCq6ur1vt26dJFGFB67do1hYGaFaki6rc8P6J++eUXnD17FgBQp04drFy5UmkArSp2dnZCv/SioiIcOnSozMcmoqqLQTgRmYwhQ4YIj48ePVrqojkA8OTJE4U5meX7KMvPCy5blEWV1NRUxMTECM8NccDm+fPnNfb5/uGHH4TH/fv3L7Wrhzx7e3thzm6JRIKgoCCN5+Dhw4eYOnVqqXOblyTrJgQAO3bs0FgnMjdu3EBCQgIA5fnctXHp0iXh3IhEIixfvhxOTk5a7y+/aNH333+vcTaYgoICfPTRR7hw4UKZykhEholBOBGZjDfeeAMjR44EUDzIcMqUKQgJCVEbfMbHx2PKlCnCwMIOHTooXPGWX7o9OjpaIdCWuX79OsaPH6+wwmFZZhbRl4sXL2Lu3LlK84kXFRVh2bJlwnsTiUTw9/cvc/6zZs0SpneMiYnBZ599hpycHJXlGD9+PGJiYjBmzBgUFBRofYwBAwagR48eAIr7/48bN06Yh1uVy5cvKywcNHDgQKX54jXJzs7GZ599JowzmDhxIvr27av1/kBxFxpnZ2cAxf3KJ02apPJOwZMnTzBp0iQcPXoUEydOxD///FOm4xCR4eHATCIyKUuXLkVmZiaOHTuGnJwczJ07F6tXr0b37t3RsGFDmJubIysrCzdu3MClS5eEgX6Ojo5Yvny5Ql5t2rSBh4cHoqOjIZFIMHXqVPTu3Rtt2rRBQUEBrl69qrJbhKEuOR4WFoaTJ0/Cy8sLDRo0QGZmJqKjo/Hw4UMhjZ+fX7m63rRu3RqLFi3CokWLIJVKceDAAZw6dQqenp5wdnbG8+fPce3aNYW7Ex9++GGZZioRiUT44YcfMHnyZFy+fBmpqamYNm0aGjdujK5du6J+/fowMzNDRkYGrly5ghs3bgj7uri4YOHChWV6T0uXLhXmk7ewsEDNmjWFmXQ0GTNmjDAo09raGmvXroWfnx9evHiBuLg4DB48GH369EHLli1RVFSE+Ph4nDhxAoWFhQCAwYMHl2mudSIyTAzCicikVK9eHWvWrMEff/yBNWvWICsrC0+fPhWmqVOle/fuCAoKUlixUGbVqlX4z3/+IwTbJ0+exMmTJxXSDBgwAM2aNRMCtMuXL1fgO6oYo0ePxu3bt3H16lXs2bNHZRofHx/Mmzev3McYNWoUatasicWLFyMrKwuZmZnYu3evUjpbW1ssXLgQPj4+ZT6GjY0NfvvtN2zYsAEbN27Ey5cv8eDBA4390N9++20sWbIEderUKdOx5OuxoKAAa9as0Wq/wYMHK8yM0qZNG/z555/4+OOPkZCQgMLCQkRGRiIyMlJhP5FIhEmTJmH27NllKicRGSYG4URkcqpVq4bx48fD29sbx48fx/Hjx/HPP/8gLS0NL168gK2tLZydndG+fXsMGTJEYdGekmrWrIlt27YhJCQE+/fvx+3bt5Gbmwt7e3t06tQJI0eORJ8+fRAXF4dbt24BKP4hUFRUVKZ+1a9a7dq18ccffyAsLAxhYWGIi4tDdnY27Ozs0LZtW4wePRr9+vXT+TiDBg1Cz549sXPnTsTExCA+Ph7Pnz+Hvb09nJ2d4eXlBR8fnzL1qy7J0tISM2fOxNixYxEZGYmoqCgkJCQgLS0N+fn5qFmzJpo0aYKOHTti2LBhaN26tc7vS1dubm44cOAAwsLCcPToUdy8eRMZGRmwtrZGvXr18Oabb2LEiBFar1JKRIZPJDXEEUJERPTKrV27VhhUOG3aNF5hJSLSIw7MJCIiIiLSMwbhRERERER6xiCciIiIiEjPGIQTEREREekZg3AiIiIiIj1jEE5EREREpGecopCIiIiISM94JZyIiIiISM8YhBMRERER6RmDcCIiIiIiPWMQTkRERESkZwzCiYiIiIj0jEE4EREREZGeMQgnIiIiItIzBuFERERERHrGIJyIiIiISM/+Dzq+L6hrvZa7AAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 800x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.plot(x_kgwas, y_kgwas, 'o-', label='KGWAS (Real)', color=third_color)\n",
+    "\n",
+    "# Plot estimated GWAS sample sizes for matching KGWAS hits using linear interpolation\n",
+    "plt.plot(gwas_sample_size_for_kgwas_hits_linear, y_kgwas, 'o-', label='GWAS (Interpolated)', color=first_color)\n",
+    "\n",
+    "plt.title('GWAS vs KGWAS: Required \\n Sample Size to Match KGWAS Hits')\n",
+    "plt.xlabel('Sample Size')\n",
+    "plt.ylabel('Number of Independent Loci at 5e-8')\n",
+    "plt.legend(title='')\n",
+    "plt.xticks([1000, 2500, 5000, 7500, 10000, 12500])\n",
+    "\n",
+    "legend = plt.legend(frameon=False, loc = 'upper left')\n",
+    "frame = legend.get_frame()\n",
+    "frame.set_facecolor('white')\n",
+    "# Show the plot"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Estimated KGWAS required sample sizes at 1K/2.5K/5K/7.5K/10K of GWAS: [ 375.         1500.         3953.48837209 6065.57377049 8035.71428571]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(f'Estimated KGWAS required sample sizes at 1K/2.5K/5K/7.5K/10K of GWAS: {kgwas_sample_size_for_gwas_hits_linear}')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def plot_topk(frac2res_all, query_disease, k = None):\n",
+    "    k_gold = len(seed_res[1][query_disease][1000]['gwas']['mega_clump_gold'])\n",
+    "    df_plot_across_frac = []\n",
+    "    metric = '#Indep. Loci@K, K=' + str(k)\n",
+    "    for frac in frac_list:\n",
+    "        ratio = str(frac)\n",
+    "        for method in method_list:\n",
+    "            df_plot_across_frac.append((method.upper(), frac2res_all[query_disease][frac][method]['recall_k_base_gwas'][k] * k_gold, ratio))\n",
+    "           \n",
+    "    df_plot_across_frac = pd.DataFrame(df_plot_across_frac).rename(columns = {0: 'Method', 1: metric, 2: 'Sampling Ratio'})\n",
+    "    \n",
+    "    return df_plot_across_frac"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|███████████████████████████████████████████████████████████████████████████████████████████████████████| 21/21 [00:00<00:00, 597.09it/s]\n",
+      "100%|███████████████████████████████████████████████████████████████████████████████████████████████████████| 21/21 [00:00<00:00, 606.03it/s]\n",
+      "100%|███████████████████████████████████████████████████████████████████████████████████████████████████████| 21/21 [00:00<00:00, 740.13it/s]\n",
+      "100%|███████████████████████████████████████████████████████████████████████████████████████████████████████| 21/21 [00:00<00:00, 710.57it/s]\n",
+      "100%|███████████████████████████████████████████████████████████████████████████████████████████████████████| 21/21 [00:00<00:00, 762.57it/s]\n"
+     ]
+    }
+   ],
+   "source": [
+    "K = 100\n",
+    "k100_across_diseases_all = {}\n",
+    "\n",
+    "for seed in [1,2,3,4,5]:\n",
+    "    frac2res_all = seed_res[seed]\n",
+    "    k100_across_diseases = pd.DataFrame()\n",
+    "\n",
+    "    for query_disease in tqdm(frac2res_all.keys()):\n",
+    "        #try:\n",
+    "        k100 = plot_topk(frac2res_all, query_disease, k = K)\n",
+    "        k100['Trait'] = query_disease\n",
+    "        k100_across_diseases = k100_across_diseases.append(k100)\n",
+    "        #except:\n",
+    "        #    pass\n",
+    "\n",
+    "    k100_across_diseases_all[seed] = k100_across_diseases"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pivot_df_all_trait = pd.DataFrame()\n",
+    "pivot_df_all = pd.DataFrame()\n",
+    "for i, k100_across_diseases in k100_across_diseases_all.items():\n",
+    "    k100_across_diseases['seed'] = i\n",
+    "    pivot_df = k100_across_diseases.pivot(index=['Sampling Ratio', 'Trait'], columns='Method', values='#Indep. Loci@K, K=' + str(K))\n",
+    "\n",
+    "    # Calculating the relative improvement\n",
+    "    pivot_df['Best_Baseline'] = np.maximum(pivot_df['FINDOR'].values, pivot_df['GWAS'].values)\n",
+    "    pivot_df['Relative Improvement (%)'] = ((pivot_df['KGWAS'] - pivot_df['GWAS']) / pivot_df['GWAS']) * 100\n",
+    "    pivot_df['Relative Improvement (%) FINDOR'] = ((pivot_df['FINDOR'] - pivot_df['GWAS']) / pivot_df['GWAS']) * 100\n",
+    "    pivot_df['Relative Improvement (%) Best Baseline'] = ((pivot_df['KGWAS'] - pivot_df['Best_Baseline']) / pivot_df['Best_Baseline']) * 100\n",
+    "\n",
+    "    # Resetting index for better readability\n",
+    "    pivot_df.reset_index(inplace=True)\n",
+    "\n",
+    "\n",
+    "    pivot_df = pivot_df[pivot_df.GWAS != 0]\n",
+    "    pivot_df['Trait (abbr)'] = pivot_df['Trait'].apply(lambda x: id2name[x])\n",
+    "    pivot_df[\"Sampling Ratio\"] = pivot_df[\"Sampling Ratio\"].astype(int)\n",
+    "    pivot_df[\"Relative Improvement (%)\"] = pivot_df[\"Relative Improvement (%)\"]/100\n",
+    "    pivot_df[\"Relative Improvement (%) Best Baseline\"] = pivot_df[\"Relative Improvement (%) Best Baseline\"]/100\n",
+    "    pivot_df[\"Relative Improvement (%) FINDOR\"] = pivot_df[\"Relative Improvement (%) FINDOR\"]/100\n",
+    "\n",
+    "    pivot_df_temp = pivot_df\n",
+    "    #pivot_df[~pivot_df['Trait (abbr)'].isin(['TBIL', 'VD', 'PHO', 'MNR', 'HT', 'BMI', 'WBC', 'BALD'])]\n",
+    "\n",
+    "    pivot_df_temp['Trait (medium)'] = pivot_df_temp['Trait'].apply(lambda x: id2name_longer[x])\n",
+    "    \n",
+    "    pivot_df_temp['Sampling Ratio'] = pivot_df_temp['Sampling Ratio'].astype(int)\n",
+    "    pivot_df_temp = pivot_df_temp.sort_values('Sampling Ratio')\n",
+    "    pivot_df_temp['Sampling Ratio'] = pivot_df_temp['Sampling Ratio'].astype(str)\n",
+    "    pivot_df_temp['Relative Improvement (%)']*=100\n",
+    "    pivot_df_temp['Relative Improvement (%) FINDOR']*=100\n",
+    "    pivot_df_temp['Relative Improvement (%) GWAS']=0\n",
+    "    pivot_df_temp = pivot_df_temp[pivot_df_temp['Sampling Ratio'].astype(float) >= 1000]\n",
+    "    pivot_df_temp['seed'] = i\n",
+    "\n",
+    "    pivot_df_all_trait = pivot_df_all_trait.append(pivot_df_temp)\n",
+    "    pivot_df_temp = pivot_df_temp.groupby(['Sampling Ratio'])[['Relative Improvement (%)', 'Relative Improvement (%) FINDOR', 'Relative Improvement (%) GWAS']].agg(np.mean).reset_index()\n",
+    "    pivot_df_all = pivot_df_all.append(pivot_df_temp)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.set(rc={'figure.figsize':(8,6)})\n",
+    "sns.set_theme(style=\"ticks\", rc={\"axes.facecolor\": (0, 0, 0, 0)}, font = \"Roboto\", font_scale=2)\n",
+    "plt.rc('axes', unicode_minus=False)\n",
+    "\n",
+    "pivot_df_all = pivot_df_all.reset_index()\n",
+    "pivot_df_all['Sampling Ratio'] = pivot_df_all['Sampling Ratio'].astype(int)\n",
+    "pivot_df_all = pivot_df_all.sort_values(['Sampling Ratio'])\n",
+    "pivot_df_all['Sampling Ratio'] = pivot_df_all['Sampling Ratio'].astype(str)\n",
+    "\n",
+    "plt.figure()\n",
+    "g = sns.lineplot(data = pivot_df_all, x = 'Sampling Ratio', \n",
+    "                 y = 'Relative Improvement (%)', \n",
+    "                 markersize = 10, marker = 's',linestyle = ':',  label = 'KGWAS', color = third_color)\n",
+    "\n",
+    "g = sns.lineplot(data = pivot_df_all, x = 'Sampling Ratio', \n",
+    "                 y = 'Relative Improvement (%) FINDOR', \n",
+    "                 markersize = 10,marker = 'X',linestyle = '--', label = 'FINDOR', color = second_color)\n",
+    "\n",
+    "g = sns.lineplot(data = pivot_df_all, x = 'Sampling Ratio', \n",
+    "                 y = 'Relative Improvement (%) GWAS', \n",
+    "                 markersize = 10,marker = 'o',linestyle = '-', label = 'GWAS', color = first_color)\n",
+    "\n",
+    "g.set(xlabel = 'Sample Size', ylabel = 'Across Traits Average \\n Relative Improvement (%)', title = 'Top 100 Indep. Loci Replicated in Large Cohort')\n",
+    "\n",
+    "sns.despine()\n",
+    "legend = plt.legend(frameon=False, loc='upper right', borderaxespad=0)\n",
+    "\n",
+    "frame = legend.get_frame()\n",
+    "frame.set_facecolor('white')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Sampling Ratio\n",
+       "1000     75.035979\n",
+       "10000    39.707777\n",
+       "2500     79.700424\n",
+       "5000     48.805510\n",
+       "7500     41.634301\n",
+       "Name: Relative Improvement (%), dtype: float64"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pivot_df_all.groupby('Sampling Ratio')['Relative Improvement (%)'].mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.set(rc={'figure.figsize':(10,5)})\n",
+    "sns.set_theme(style=\"ticks\", rc={\"axes.facecolor\": (0, 0, 0, 0)}, font = \"Roboto\", font_scale=2)\n",
+    "plt.rc('axes', unicode_minus=False)\n",
+    "\n",
+    "plt.figure()\n",
+    "g = sns.lineplot(data = pivot_df_all[pivot_df_all['Sampling Ratio'].isin(['1000', '5000', '10000'])], x = 'Sampling Ratio', \n",
+    "                 y = 'Relative Improvement (%)', \n",
+    "                 markersize = 10, marker = 's',linestyle = ':',  label = 'KGWAS', color = third_color)\n",
+    "\n",
+    "g = sns.lineplot(data = pivot_df_all[pivot_df_all['Sampling Ratio'].isin(['1000', '5000', '10000'])], x = 'Sampling Ratio', \n",
+    "                 y = 'Relative Improvement (%) FINDOR', \n",
+    "                 markersize = 10,marker = 'X',linestyle = '--', label = 'FINDOR', color = second_color)\n",
+    "\n",
+    "g = sns.lineplot(data = pivot_df_all[pivot_df_all['Sampling Ratio'].isin(['1000', '5000', '10000'])], x = 'Sampling Ratio', \n",
+    "                 y = 'Relative Improvement (%) GWAS', \n",
+    "                 markersize = 10,marker = 'o',linestyle = '-', label = 'GWAS', color = first_color)\n",
+    "\n",
+    "g.set(xlabel = 'Sample Size', ylabel = 'Across Traits Average \\n Relative Improvement (%)', title = 'Top 100 Indep. Loci Replicated in Large Cohort')\n",
+    "\n",
+    "sns.despine()\n",
+    "legend = plt.legend(frameon=False, loc='upper right', borderaxespad=0)\n",
+    "\n",
+    "frame = legend.get_frame()\n",
+    "frame.set_facecolor('white')\n",
+    "plt.savefig(\"kgwas_top_k_main.pdf\", format='pdf', dpi=300, bbox_inches='tight')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>Method</th>\n",
+       "      <th>index</th>\n",
+       "      <th>Relative Improvement (%)</th>\n",
+       "      <th>Relative Improvement (%) FINDOR</th>\n",
+       "      <th>Relative Improvement (%) GWAS</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Sampling Ratio</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1000</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>75.035979</td>\n",
+       "      <td>20.851836</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10000</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>39.707777</td>\n",
+       "      <td>23.516556</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2500</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>79.700424</td>\n",
+       "      <td>37.739636</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5000</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>48.805510</td>\n",
+       "      <td>22.503181</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7500</th>\n",
+       "      <td>4.0</td>\n",
+       "      <td>41.634301</td>\n",
+       "      <td>23.718663</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "Method          index  Relative Improvement (%)  \\\n",
+       "Sampling Ratio                                    \n",
+       "1000              0.0                 75.035979   \n",
+       "10000             1.0                 39.707777   \n",
+       "2500              2.0                 79.700424   \n",
+       "5000              3.0                 48.805510   \n",
+       "7500              4.0                 41.634301   \n",
+       "\n",
+       "Method          Relative Improvement (%) FINDOR  Relative Improvement (%) GWAS  \n",
+       "Sampling Ratio                                                                  \n",
+       "1000                                  20.851836                            0.0  \n",
+       "10000                                 23.516556                            0.0  \n",
+       "2500                                  37.739636                            0.0  \n",
+       "5000                                  22.503181                            0.0  \n",
+       "7500                                  23.718663                            0.0  "
+      ]
+     },
+     "execution_count": 38,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pivot_df_all.groupby('Sampling Ratio').agg(np.mean)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "single_trait = pd.DataFrame()\n",
+    "for i, k100_across_diseases in k100_across_diseases_all.items():\n",
+    "    single_trait = single_trait.append(k100_across_diseases[k100_across_diseases.Trait == '30080'])\n",
+    "    \n",
+    "g = sns.barplot(data = single_trait[single_trait['Sampling Ratio'].astype(float)>=1000], \n",
+    "            x = 'Sampling Ratio', y = '#Indep. Loci@K, K=100', hue = 'Method')\n",
+    "\n",
+    "g.set(xlabel = 'Sample Size', ylabel = 'Top 100 Indep. Loci \\n Replicated in Large Cohort', title = 'Trait: Platelet count')\n",
+    "\n",
+    "sns.despine()\n",
+    "#legend = plt.legend(frameon=False, loc = 'upper right')\n",
+    "legend = plt.legend(frameon=False,\n",
+    "                loc='upper left', borderaxespad=0)\n",
+    "\n",
+    "frame = legend.get_frame()\n",
+    "frame.set_facecolor('white')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def plot_pr_curve(query_disease, frac, frac2res_all):\n",
+    "    frac2res = frac2res_all[query_disease][frac]\n",
+    "\n",
+    "    def flatten(l):\n",
+    "        return [item for sublist in l for item in sublist]\n",
+    "    df_recall_at_prec = []    \n",
+    "    mega_clump_gold = seed_res[1][query_disease][1000]['gwas']['mega_clump_gold']\n",
+    "\n",
+    "    for prec in np.arange(0, 1.01, 0.01):\n",
+    "        recall_at_prec_frac = {}\n",
+    "\n",
+    "        for method in method_list:\n",
+    "\n",
+    "            prec_k_list = [i for i,j in frac2res[method]['precision_k_base_gwas'].items() if j >= prec]\n",
+    "            if len(prec_k_list) > 0:\n",
+    "                recall_at_prec_frac[method.upper()] = len([mega_clump_gold[i] for i in frac2res[method]['k_to_clump_idx_base_gwas'][max(prec_k_list)]])\n",
+    "            else:\n",
+    "                recall_at_prec_frac[method.upper()] = 0\n",
+    "\n",
+    "\n",
+    "        for x in [i.upper() for i in method_list]:\n",
+    "            df_recall_at_prec.append((prec, x, recall_at_prec_frac[x]))\n",
+    "\n",
+    "    df_recall_at_prec = pd.DataFrame(df_recall_at_prec).rename(columns = {0: 'Precision', 1: 'method', 2: '# of Indep Loci Found'})\n",
+    "\n",
+    "    to_report = df_recall_at_prec[df_recall_at_prec.Precision >= 0.2]\n",
+    "    ax = sns.lineplot(data = to_report, x = 'Precision', y='# of Indep Loci Found', \n",
+    "                      hue = 'method', style='method', hue_order = ['GWAS', 'FINDOR', 'KGWAS'], markers=True)\n",
+    "    ax.set(title = id2name[query_disease], xlabel = 'Replication Rate of Retrieved Indep. Loci', ylabel = '# Indep. Loci Replicated at Large Cohort')\n",
+    "    legend = plt.legend(frameon=False, loc = 'upper right')\n",
+    "    frame = legend.get_frame()\n",
+    "    sns.despine()\n",
+    "    frame.set_facecolor('white')\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 600x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.set(rc={'figure.figsize':(6,6)})\n",
+    "sns.set_theme(style=\"ticks\", rc={\"axes.facecolor\": (0, 0, 0, 0)}, font = \"Roboto\", font_scale=1.5)\n",
+    "plt.rc('axes', unicode_m\n",
+    "       inus=False)\n",
+    "\n",
+    "plot_pr_curve('30080', 5000, seed_res[1])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/dfs/user/kexinh/miniconda3/envs/a100_env/lib/python3.8/site-packages/pandas/core/indexing.py:1773: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  self._setitem_single_column(ilocs[0], value, pi)\n"
+     ]
+    }
+   ],
+   "source": [
+    "pivot_df_temp = pivot_df_all_trait[pivot_df_all_trait.seed == 1]\n",
+    "cmap = sns.diverging_palette(230, 20, as_cmap=True)\n",
+    "pivot_df_temp.loc[:, \"Sampling Ratio\"] = pivot_df_temp[\"Sampling Ratio\"].astype(int)\n",
+    "\n",
+    "order = ['1000', '2500', '5000', '7500','10000']\n",
+    "\n",
+    "pivot_df_temp.loc[:, \"Relative Improvement (%)\"] = pivot_df_temp[\"Relative Improvement (%)\"]/100\n",
+    "pivot_df_temp.loc[:, \"Relative Improvement (%) Best Baseline\"] = pivot_df_temp[\"Relative Improvement (%) Best Baseline\"]/100\n",
+    "pivot_df_temp.loc[:, \"Relative Improvement (%) FINDOR\"] = pivot_df_temp[\"Relative Improvement (%) FINDOR\"]/100"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x1000 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "def custom_format(x):\n",
+    "    if x > 0:\n",
+    "        return f\"+{x:.2%}\"\n",
+    "    else:\n",
+    "        return f\"{x:.2%}\"\n",
+    "heatmap = pivot_df_temp.pivot(index=\"Trait (medium)\", columns=\"Sampling Ratio\", values=\"Relative Improvement (%)\").replace([np.inf, -np.inf, np.nan], 0)\n",
+    "f, ax = plt.subplots(figsize=(10,10))\n",
+    "heatmap['row_sum'] = heatmap.sum(axis=1)\n",
+    "heatmap.sort_values(by='row_sum', ascending=False, inplace=True)\n",
+    "heatmap.drop(columns='row_sum', inplace=True)\n",
+    "\n",
+    "#heatmap_small = heatmap[['1000', '5000', '10000']]\n",
+    "g = sns.heatmap(heatmap, annot=False, fmt=\".1%\", linewidths=1, robust=True, cmap=cmap, center=0, vmax=2.0, ax = ax)\n",
+    "\n",
+    "colorbar = g.collections[0].colorbar\n",
+    "\n",
+    "# Format tick labels as percentages\n",
+    "colorbar.set_ticks([0.0, 0.25, 0.5, 0.75, 1.0, 1.25, 1.5, 1.75, 2.0])\n",
+    "colorbar.set_ticklabels(['0%', '+25%','+50%','+75%', \\\n",
+    "                         '+100%', '+125%', '+150%', '+175%', '+200%'])\n",
+    "\n",
+    "g.set(xlabel = '', ylabel = '', title = 'Improvement (%) of Number of Top 100 \\n Indep. Loci Replicated in Large Cohort')\n",
+    "ax = plt.gca()\n",
+    "\n",
+    "# Move the X-axis to the top\n",
+    "#ax.xaxis.tick_top()\n",
+    "#ax.xaxis.set_label_position('top') \n",
+    "#plt.setp(ax.get_xticklabels(), rotation=90)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "a100_env",
+   "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": "3.8.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}