[f123c6]: / notebooks / shap_analysis_drug_response.ipynb

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{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is a temporary notebook for shap value analysis and plots."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import sys\n",
    "\n",
    "proj_dir = \"/home/scai/PhenPred\"\n",
    "if not os.path.exists(proj_dir):\n",
    "    proj_dir = \"/Users/emanuel/Projects/PhenPred\"\n",
    "sys.path.extend([proj_dir])\n",
    "\n",
    "import json\n",
    "import PhenPred\n",
    "import argparse\n",
    "import pandas as pd\n",
    "from PhenPred.vae import plot_folder\n",
    "from PhenPred.vae.Hypers import Hypers\n",
    "from PhenPred.vae.Train import CLinesTrain\n",
    "from PhenPred.vae.DatasetDepMap23Q2 import CLinesDatasetDepMap23Q2\n",
    "pd.set_option(\"display.max_rows\", 100)\n",
    "pd.set_option(\"display.max_columns\", 100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "\n",
    "plt.rcParams[\"font.family\"] = \"Arial\"\n",
    "plt.rcParams[\"font.size\"] = 4\n",
    "plt.rcParams[\"axes.linewidth\"] = 0.25\n",
    "plt.rcParams[\"figure.figsize\"] = (2.5, 2.5)\n",
    "plt.rcParams[\"pdf.fonttype\"] = 42\n",
    "plt.rcParams[\"ps.fonttype\"] = 42\n",
    "plt.rcParams[\"figure.dpi\"] = 200\n",
    "plt.rcParams[\"axes.linewidth\"] = 0.25\n",
    "plt.rcParams[\"legend.fontsize\"] = 4\n",
    "\n",
    "sns.set(style=\"ticks\", context=\"paper\", font_scale=1, font=\"Arial\")\n",
    "sns.set_context(\n",
    "    \"paper\",\n",
    "    rc={\n",
    "        \"axes.linewidth\": 0.25,\n",
    "        \"xtick.major.size\": 2,\n",
    "        \"xtick.major.width\": 0.25,\n",
    "        \"ytick.major.size\": 2,\n",
    "        \"ytick.major.width\": 0.25,\n",
    "        \"xtick.labelsize\": 6,\n",
    "        \"ytick.labelsize\": 6,\n",
    "        \"axes.labelsize\": 7,\n",
    "        \"legend.fontsize\": 6,\n",
    "        \"legend.title_fontsize\": 6,\n",
    "    },\n",
    ")\n",
    "\n",
    "import matplotlib.patches as mpatches\n",
    "import umap\n",
    "\n",
    "pd.set_option(\"display.max_rows\", 100)\n",
    "pd.set_option(\"display.max_columns\", 100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import shap\n",
    "import pickle\n",
    "from tqdm.notebook import tqdm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "OMIC_PALLETS = {\n",
    "    \"conditionals\": \"#4c72b0\",\n",
    "    \"copynumber\": \"#dd8452\",\n",
    "    \"drugresponse\": \"#55a868\",\n",
    "    \"metabolomics\": \"#c44e52\",\n",
    "    \"proteomics\": \"#8172b3\",\n",
    "    \"crisprcas9\": \"#937860\",\n",
    "    \"transcriptomics\": \"#da8bc3\",\n",
    "    \"methylation\": \"#8c8c8c\",\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# ---- Hyperparameters\n",
      "{\n",
      "    \"activation_function\": \"prelu\",\n",
      "    \"batch_norm\": false,\n",
      "    \"batch_size\": 256,\n",
      "    \"contrastive_neg_margin\": 0.15,\n",
      "    \"contrastive_pos_margin\": 0.85,\n",
      "    \"dataname\": \"depmap23Q2\",\n",
      "    \"datasets\": {\n",
      "        \"copynumber\": \"/home/scai/PhenPred/data/clines//cnv_summary_20230303_matrix.csv\",\n",
      "        \"crisprcas9\": \"/home/scai/PhenPred/data/clines//depmap23Q2/CRISPRGeneEffect.csv\",\n",
      "        \"drugresponse\": \"/home/scai/PhenPred/data/clines//drugresponse.csv\",\n",
      "        \"metabolomics\": \"/home/scai/PhenPred/data/clines//metabolomics.csv\",\n",
      "        \"methylation\": \"/home/scai/PhenPred/data/clines//methylation.csv\",\n",
      "        \"proteomics\": \"/home/scai/PhenPred/data/clines//proteomics.csv\",\n",
      "        \"transcriptomics\": \"/home/scai/PhenPred/data/clines//depmap23Q2/OmicsExpressionGenesExpectedCountProfileVoom.csv\"\n",
      "    },\n",
      "    \"feature_dropout\": 0,\n",
      "    \"feature_miss_rate_thres\": 0.85,\n",
      "    \"filter_features\": [\n",
      "        \"transcriptomics\",\n",
      "        \"crisprcas9\",\n",
      "        \"methylation\"\n",
      "    ],\n",
      "    \"filtered_encoder_only\": true,\n",
      "    \"gmvae_decay_temp\": true,\n",
      "    \"gmvae_decay_temp_rate\": 0.013862944,\n",
      "    \"gmvae_hard_gumbel\": 0.7936881144482251,\n",
      "    \"gmvae_hidden_size\": 935,\n",
      "    \"gmvae_init_temp\": 1.0,\n",
      "    \"gmvae_k\": 51,\n",
      "    \"gmvae_min_temp\": 0.5,\n",
      "    \"gmvae_views_logits\": 726,\n",
      "    \"hidden_dims\": [\n",
      "        0.7\n",
      "    ],\n",
      "    \"labels\": [\n",
      "        \"tissue\",\n",
      "        \"mutations\",\n",
      "        \"fussions\",\n",
      "        \"msi\",\n",
      "        \"growth\"\n",
      "    ],\n",
      "    \"latent_dim\": 200,\n",
      "    \"learning_rate\": 0.0003,\n",
      "    \"load_run\": null,\n",
      "    \"model\": \"MOSA\",\n",
      "    \"n_folds\": 3,\n",
      "    \"num_epochs\": 500,\n",
      "    \"optimizer_type\": \"adam\",\n",
      "    \"probability\": 0.4,\n",
      "    \"reconstruction_loss\": \"mse\",\n",
      "    \"save_model\": false,\n",
      "    \"scheduler\": \"plateau\",\n",
      "    \"scheduler_factor\": 0.6,\n",
      "    \"scheduler_min_lr\": 1e-07,\n",
      "    \"scheduler_patience\": 7,\n",
      "    \"scheduler_threshold\": 0.0001,\n",
      "    \"skip_benchmarks\": false,\n",
      "    \"skip_cv\": true,\n",
      "    \"standardize\": true,\n",
      "    \"use_conditionals\": true,\n",
      "    \"verbose\": 0,\n",
      "    \"view_dropout\": 0.3,\n",
      "    \"view_latent_dim\": 0.25,\n",
      "    \"view_loss_recon_type\": [\n",
      "        \"mean\",\n",
      "        \"mean\",\n",
      "        \"mean\",\n",
      "        \"mean\",\n",
      "        \"mean\",\n",
      "        \"mean\",\n",
      "        \"macro\"\n",
      "    ],\n",
      "    \"view_loss_weights\": [\n",
      "        1.0,\n",
      "        1.0,\n",
      "        1.0,\n",
      "        1.0,\n",
      "        1.0,\n",
      "        1.0,\n",
      "        1.0\n",
      "    ],\n",
      "    \"w_cat\": 0.01,\n",
      "    \"w_contrastive\": 0.005,\n",
      "    \"w_decay\": 0.0005,\n",
      "    \"w_gauss\": 0.0001,\n",
      "    \"w_kl\": 0.0001,\n",
      "    \"w_rec\": 1\n",
      "}\n",
      "DepMap23Q2 | Samples = 1,523 | Proteomics = 4,922 (0 masked) | Metabolomics = 225 (0 masked) | Drug response = 810 (0 masked) | CRISPR-Cas9 = 17,931 (12,718 masked) | Methylation = 14,608 (7,018 masked) | Transcriptomics = 15,278 (7,200 masked) | Copy number = 777 (0 masked) | Labels = 237\n"
     ]
    }
   ],
   "source": [
    "hyperparameters = Hypers.read_hyperparameters()\n",
    "clines_db = CLinesDatasetDepMap23Q2(\n",
    "        labels_names=hyperparameters[\"labels\"],\n",
    "        datasets=hyperparameters[\"datasets\"],\n",
    "        feature_miss_rate_thres=hyperparameters[\"feature_miss_rate_thres\"],\n",
    "        standardize=hyperparameters[\"standardize\"],\n",
    "        filter_features=hyperparameters[\"filter_features\"],\n",
    "        filtered_encoder_only=hyperparameters[\"filtered_encoder_only\"],\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "clines_db.plot_samples_overlap()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# TIMESTAMP = \"20230927_160517\" # 0.2\n",
    "# TIMESTAMP = \"20230927_170110\"   #0.5\n",
    "# TIMESTAMP = \"20231004_232813\"   #0.4\n",
    "TIMESTAMP = \"20231005_010815\"   #0.3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Load"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "shap_values = pickle.load(open(f\"~/scratch/cds4_backup/PhenPred/reports/vae/files/reports/vae/files/{TIMESTAMP}_shap_values_drug_response.pkl\", \"rb\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(304, 237)"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shap_values[0][-1].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['proteomics',\n",
       " 'metabolomics',\n",
       " 'drugresponse',\n",
       " 'crisprcas9',\n",
       " 'methylation',\n",
       " 'transcriptomics',\n",
       " 'copynumber']"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clines_db.view_names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "feature_names_all = []\n",
    "for view_name in clines_db.view_names:\n",
    "    feature_names_all.append(\n",
    "        clines_db.features_mask[view_name][\n",
    "            clines_db.features_mask[view_name] == True\n",
    "        ].index.values\n",
    "    )\n",
    "feature_names_all.append(clines_db.labels_name)\n",
    "view_names = clines_db.view_names + [\"conditionals\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "drug_feature_names = feature_names_all[2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_shap_df = []\n",
    "for drug_idx in range(len(shap_values)):\n",
    "    shap_drug = shap_values[drug_idx]\n",
    "    drug_dfs = []\n",
    "    for i in range(len(view_names)):\n",
    "        view_name = view_names[i]\n",
    "        feature_names = feature_names_all[i]\n",
    "        tmp_df = pd.DataFrame(shap_drug[i], columns=feature_names)\n",
    "        tmp_df.columns = [f\"{view_names[i]}_{c}\" for c in tmp_df.columns]\n",
    "        drug_dfs.append(tmp_df)\n",
    "    drug_dfs = pd.concat(drug_dfs, axis=1)\n",
    "    drug_dfs['drug_name'] = f\"{drug_feature_names[drug_idx]}\"\n",
    "    \n",
    "    all_shap_df.append(drug_dfs)\n",
    "all_shap_df = pd.concat(all_shap_df, axis=0)\n",
    "cols = all_shap_df.columns.tolist()\n",
    "cols = [cols[-1]] + cols[:-1]\n",
    "all_shap_df = all_shap_df[cols]\n",
    "all_shap_df.index.name = 'model_id'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_shap_df = all_shap_df.reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(246240, 27854)"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_shap_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>model_id</th>\n",
       "      <th>drug_name</th>\n",
       "      <th>proteomics_AAAS</th>\n",
       "      <th>proteomics_AACS</th>\n",
       "      <th>proteomics_AAGAB</th>\n",
       "      <th>proteomics_AAK1</th>\n",
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       "      <th>proteomics_ABCB10</th>\n",
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       "      <th>proteomics_ABCB7</th>\n",
       "      <th>proteomics_ABCC1</th>\n",
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       "      <th>proteomics_ABCF2</th>\n",
       "      <th>proteomics_ABCF3</th>\n",
       "      <th>proteomics_ABHD10</th>\n",
       "      <th>proteomics_ABHD11</th>\n",
       "      <th>proteomics_ABHD12</th>\n",
       "      <th>proteomics_ABHD14B</th>\n",
       "      <th>proteomics_ABHD16A</th>\n",
       "      <th>proteomics_ABI1</th>\n",
       "      <th>proteomics_ABI2</th>\n",
       "      <th>proteomics_ABLIM1</th>\n",
       "      <th>proteomics_ABLIM3</th>\n",
       "      <th>proteomics_ABRACL</th>\n",
       "      <th>proteomics_ABRAXAS2</th>\n",
       "      <th>proteomics_ABT1</th>\n",
       "      <th>proteomics_ACAA1</th>\n",
       "      <th>proteomics_ACAA2</th>\n",
       "      <th>proteomics_ACACA</th>\n",
       "      <th>proteomics_ACAD10</th>\n",
       "      <th>proteomics_ACAD8</th>\n",
       "      <th>proteomics_ACAD9</th>\n",
       "      <th>proteomics_ACADM</th>\n",
       "      <th>proteomics_ACADS</th>\n",
       "      <th>proteomics_ACADSB</th>\n",
       "      <th>proteomics_ACADVL</th>\n",
       "      <th>proteomics_ACAP2</th>\n",
       "      <th>...</th>\n",
       "      <th>conditionals_mut_PTPRB</th>\n",
       "      <th>conditionals_mut_PTPRC</th>\n",
       "      <th>conditionals_mut_PTPRK</th>\n",
       "      <th>conditionals_mut_PTPRT</th>\n",
       "      <th>conditionals_mut_QKI</th>\n",
       "      <th>conditionals_mut_RAC1</th>\n",
       "      <th>conditionals_mut_RASA1</th>\n",
       "      <th>conditionals_mut_RASA2</th>\n",
       "      <th>conditionals_mut_RB1</th>\n",
       "      <th>conditionals_mut_RGPD3</th>\n",
       "      <th>conditionals_mut_RGS7</th>\n",
       "      <th>conditionals_mut_RHOA</th>\n",
       "      <th>conditionals_mut_RNF43</th>\n",
       "      <th>conditionals_mut_RNF6</th>\n",
       "      <th>conditionals_mut_RPL22</th>\n",
       "      <th>conditionals_mut_SDHA</th>\n",
       "      <th>conditionals_mut_SETD1B</th>\n",
       "      <th>conditionals_mut_SETD2</th>\n",
       "      <th>conditionals_mut_SMAD4</th>\n",
       "      <th>conditionals_mut_SMARCA4</th>\n",
       "      <th>conditionals_mut_SMARCB1</th>\n",
       "      <th>conditionals_mut_SOX9</th>\n",
       "      <th>conditionals_mut_SPEN</th>\n",
       "      <th>conditionals_mut_STAG2</th>\n",
       "      <th>conditionals_mut_STAT5B</th>\n",
       "      <th>conditionals_mut_STK11</th>\n",
       "      <th>conditionals_mut_TAF15</th>\n",
       "      <th>conditionals_mut_TET1</th>\n",
       "      <th>conditionals_mut_TET2</th>\n",
       "      <th>conditionals_mut_TGFBR2</th>\n",
       "      <th>conditionals_mut_TNC</th>\n",
       "      <th>conditionals_mut_TP53</th>\n",
       "      <th>conditionals_mut_TRIM24</th>\n",
       "      <th>conditionals_mut_TRRAP</th>\n",
       "      <th>conditionals_mut_TSC2</th>\n",
       "      <th>conditionals_mut_UBR5</th>\n",
       "      <th>conditionals_mut_USP8</th>\n",
       "      <th>conditionals_mut_USP9X</th>\n",
       "      <th>conditionals_mut_VHL</th>\n",
       "      <th>conditionals_mut_WNK2</th>\n",
       "      <th>conditionals_mut_WNK4</th>\n",
       "      <th>conditionals_mut_WRN</th>\n",
       "      <th>conditionals_mut_ZEB1</th>\n",
       "      <th>conditionals_mut_ZFHX3</th>\n",
       "      <th>conditionals_mut_ZNF208</th>\n",
       "      <th>conditionals_mut_ZNF429</th>\n",
       "      <th>conditionals_mut_ZNF626</th>\n",
       "      <th>conditionals_mut_ZNF93</th>\n",
       "      <th>conditionals_mut_ZNRF3</th>\n",
       "      <th>conditionals_msi_status</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "      <td>-0.000044</td>\n",
       "      <td>0.000756</td>\n",
       "      <td>0.000395</td>\n",
       "      <td>0.000621</td>\n",
       "      <td>-0.000022</td>\n",
       "      <td>-0.000855</td>\n",
       "      <td>0.000567</td>\n",
       "      <td>-0.001360</td>\n",
       "      <td>0.000044</td>\n",
       "      <td>-0.000160</td>\n",
       "      <td>-0.000012</td>\n",
       "      <td>0.000155</td>\n",
       "      <td>-0.000092</td>\n",
       "      <td>-0.000235</td>\n",
       "      <td>0.000593</td>\n",
       "      <td>0.000010</td>\n",
       "      <td>0.000478</td>\n",
       "      <td>-1.786402e-06</td>\n",
       "      <td>0.000220</td>\n",
       "      <td>0.000113</td>\n",
       "      <td>0.000058</td>\n",
       "      <td>-0.000115</td>\n",
       "      <td>-0.000216</td>\n",
       "      <td>-0.000490</td>\n",
       "      <td>0.000031</td>\n",
       "      <td>0.000349</td>\n",
       "      <td>-0.000035</td>\n",
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       "      <td>6.149877e-05</td>\n",
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       "      <td>0.000055</td>\n",
       "      <td>-4.050561e-05</td>\n",
       "      <td>-0.000056</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000108</td>\n",
       "      <td>0.000025</td>\n",
       "      <td>0.000037</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000027</td>\n",
       "      <td>-0.000091</td>\n",
       "      <td>-0.000695</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000039</td>\n",
       "      <td>-0.000013</td>\n",
       "      <td>0.000024</td>\n",
       "      <td>-0.000078</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000208</td>\n",
       "      <td>0.000086</td>\n",
       "      <td>0.000067</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000001</td>\n",
       "      <td>0.000111</td>\n",
       "      <td>-0.000106</td>\n",
       "      <td>0.000005</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000030</td>\n",
       "      <td>-0.000027</td>\n",
       "      <td>-9.823125e-07</td>\n",
       "      <td>-0.000094</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.004770</td>\n",
       "      <td>0.000064</td>\n",
       "      <td>0.000113</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000025</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000079</td>\n",
       "      <td>-0.000014</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.000006</td>\n",
       "      <td>-0.000053</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.863365e-07</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1;Erlotinib;GDSC1</td>\n",
       "      <td>0.000023</td>\n",
       "      <td>0.000014</td>\n",
       "      <td>-0.000498</td>\n",
       "      <td>-0.000123</td>\n",
       "      <td>-0.000071</td>\n",
       "      <td>-0.000025</td>\n",
       "      <td>0.000088</td>\n",
       "      <td>0.000414</td>\n",
       "      <td>0.000346</td>\n",
       "      <td>0.000262</td>\n",
       "      <td>0.001688</td>\n",
       "      <td>-0.000199</td>\n",
       "      <td>0.000008</td>\n",
       "      <td>0.000022</td>\n",
       "      <td>-0.000246</td>\n",
       "      <td>-0.000561</td>\n",
       "      <td>0.001160</td>\n",
       "      <td>0.000004</td>\n",
       "      <td>-0.000017</td>\n",
       "      <td>3.098977e-06</td>\n",
       "      <td>0.000028</td>\n",
       "      <td>0.000213</td>\n",
       "      <td>0.000270</td>\n",
       "      <td>-0.000168</td>\n",
       "      <td>0.000362</td>\n",
       "      <td>0.000860</td>\n",
       "      <td>-0.000024</td>\n",
       "      <td>0.001068</td>\n",
       "      <td>0.000095</td>\n",
       "      <td>0.000383</td>\n",
       "      <td>0.001206</td>\n",
       "      <td>0.000550</td>\n",
       "      <td>0.000009</td>\n",
       "      <td>-0.000007</td>\n",
       "      <td>-0.000427</td>\n",
       "      <td>0.000148</td>\n",
       "      <td>-0.000086</td>\n",
       "      <td>0.000980</td>\n",
       "      <td>-5.323709e-05</td>\n",
       "      <td>0.000198</td>\n",
       "      <td>-0.000143</td>\n",
       "      <td>0.000420</td>\n",
       "      <td>0.000021</td>\n",
       "      <td>0.000012</td>\n",
       "      <td>0.000285</td>\n",
       "      <td>-0.000210</td>\n",
       "      <td>-9.461105e-07</td>\n",
       "      <td>-0.000020</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000036</td>\n",
       "      <td>-0.000441</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000013</td>\n",
       "      <td>0.000048</td>\n",
       "      <td>0.000006</td>\n",
       "      <td>-0.000233</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000043</td>\n",
       "      <td>0.000013</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000010</td>\n",
       "      <td>-0.000063</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000112</td>\n",
       "      <td>0.000152</td>\n",
       "      <td>0.000018</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000007</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000050</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.006585</td>\n",
       "      <td>0.000029</td>\n",
       "      <td>0.000043</td>\n",
       "      <td>0.000027</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000024</td>\n",
       "      <td>0.000332</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00001</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000017</td>\n",
       "      <td>0.000063</td>\n",
       "      <td>0.000035</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>1;Erlotinib;GDSC1</td>\n",
       "      <td>0.000026</td>\n",
       "      <td>-0.000010</td>\n",
       "      <td>-0.000050</td>\n",
       "      <td>0.000007</td>\n",
       "      <td>0.000054</td>\n",
       "      <td>-0.000018</td>\n",
       "      <td>0.000047</td>\n",
       "      <td>-0.000139</td>\n",
       "      <td>-0.000041</td>\n",
       "      <td>-0.000090</td>\n",
       "      <td>-0.000005</td>\n",
       "      <td>0.000047</td>\n",
       "      <td>0.000002</td>\n",
       "      <td>0.000006</td>\n",
       "      <td>0.000100</td>\n",
       "      <td>0.000038</td>\n",
       "      <td>0.000022</td>\n",
       "      <td>0.000006</td>\n",
       "      <td>-0.000008</td>\n",
       "      <td>-1.011878e-05</td>\n",
       "      <td>0.000027</td>\n",
       "      <td>-0.000053</td>\n",
       "      <td>-0.000127</td>\n",
       "      <td>0.000086</td>\n",
       "      <td>0.000057</td>\n",
       "      <td>0.000088</td>\n",
       "      <td>0.000088</td>\n",
       "      <td>-0.000244</td>\n",
       "      <td>0.000019</td>\n",
       "      <td>-0.000115</td>\n",
       "      <td>0.000130</td>\n",
       "      <td>-0.000036</td>\n",
       "      <td>0.000012</td>\n",
       "      <td>-0.000006</td>\n",
       "      <td>0.000023</td>\n",
       "      <td>-0.000009</td>\n",
       "      <td>0.000022</td>\n",
       "      <td>-0.000001</td>\n",
       "      <td>-7.929257e-07</td>\n",
       "      <td>0.000020</td>\n",
       "      <td>-0.000027</td>\n",
       "      <td>0.000159</td>\n",
       "      <td>0.000049</td>\n",
       "      <td>0.000053</td>\n",
       "      <td>-0.000067</td>\n",
       "      <td>-0.000003</td>\n",
       "      <td>6.647594e-05</td>\n",
       "      <td>0.000021</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000123</td>\n",
       "      <td>0.000069</td>\n",
       "      <td>0.000054</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000911</td>\n",
       "      <td>-0.000024</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000003</td>\n",
       "      <td>0.000002</td>\n",
       "      <td>-0.000055</td>\n",
       "      <td>-0.000265</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000273</td>\n",
       "      <td>0.000112</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000016</td>\n",
       "      <td>0.000037</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000102</td>\n",
       "      <td>-0.000001</td>\n",
       "      <td>0.000018</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-5.300283e-05</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.004033</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000017</td>\n",
       "      <td>-0.000059</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000133</td>\n",
       "      <td>-0.000018</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000012</td>\n",
       "      <td>-0.000010</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>1;Erlotinib;GDSC1</td>\n",
       "      <td>0.000027</td>\n",
       "      <td>0.000006</td>\n",
       "      <td>0.000017</td>\n",
       "      <td>-0.000053</td>\n",
       "      <td>0.000036</td>\n",
       "      <td>-0.000013</td>\n",
       "      <td>-0.000003</td>\n",
       "      <td>0.000036</td>\n",
       "      <td>0.000029</td>\n",
       "      <td>0.000031</td>\n",
       "      <td>-0.000085</td>\n",
       "      <td>0.000038</td>\n",
       "      <td>0.000003</td>\n",
       "      <td>0.000072</td>\n",
       "      <td>0.000043</td>\n",
       "      <td>-0.000015</td>\n",
       "      <td>0.000031</td>\n",
       "      <td>-0.000004</td>\n",
       "      <td>0.000054</td>\n",
       "      <td>-8.295099e-07</td>\n",
       "      <td>0.000012</td>\n",
       "      <td>0.000015</td>\n",
       "      <td>-0.000084</td>\n",
       "      <td>-0.000066</td>\n",
       "      <td>-0.000032</td>\n",
       "      <td>0.000040</td>\n",
       "      <td>0.000122</td>\n",
       "      <td>0.000023</td>\n",
       "      <td>0.000032</td>\n",
       "      <td>-0.000066</td>\n",
       "      <td>-0.000008</td>\n",
       "      <td>-0.000037</td>\n",
       "      <td>0.000005</td>\n",
       "      <td>0.000012</td>\n",
       "      <td>-0.000010</td>\n",
       "      <td>0.000012</td>\n",
       "      <td>-0.000001</td>\n",
       "      <td>0.000049</td>\n",
       "      <td>4.807431e-05</td>\n",
       "      <td>-0.000082</td>\n",
       "      <td>0.000005</td>\n",
       "      <td>0.000091</td>\n",
       "      <td>-0.000082</td>\n",
       "      <td>-0.000018</td>\n",
       "      <td>-0.000036</td>\n",
       "      <td>-0.000051</td>\n",
       "      <td>7.782397e-05</td>\n",
       "      <td>0.000003</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000051</td>\n",
       "      <td>0.000017</td>\n",
       "      <td>0.000020</td>\n",
       "      <td>-0.000086</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000001</td>\n",
       "      <td>-0.000007</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000956</td>\n",
       "      <td>-0.000046</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000055</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000040</td>\n",
       "      <td>-0.000270</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000077</td>\n",
       "      <td>0.000001</td>\n",
       "      <td>-0.000014</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000096</td>\n",
       "      <td>-0.000125</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000210</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000084</td>\n",
       "      <td>-0.000026</td>\n",
       "      <td>0.006642</td>\n",
       "      <td>0.000054</td>\n",
       "      <td>0.000040</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000051</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000117</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>-0.000068</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000051</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000023</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.859355e-05</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>1;Erlotinib;GDSC1</td>\n",
       "      <td>0.000036</td>\n",
       "      <td>-0.000005</td>\n",
       "      <td>0.000039</td>\n",
       "      <td>0.000027</td>\n",
       "      <td>0.000013</td>\n",
       "      <td>-0.000017</td>\n",
       "      <td>0.000004</td>\n",
       "      <td>0.000089</td>\n",
       "      <td>0.000096</td>\n",
       "      <td>-0.000039</td>\n",
       "      <td>-0.000076</td>\n",
       "      <td>0.000087</td>\n",
       "      <td>0.000006</td>\n",
       "      <td>0.000004</td>\n",
       "      <td>0.000093</td>\n",
       "      <td>-0.000146</td>\n",
       "      <td>0.000219</td>\n",
       "      <td>0.000023</td>\n",
       "      <td>0.000027</td>\n",
       "      <td>6.352137e-06</td>\n",
       "      <td>0.000033</td>\n",
       "      <td>0.000041</td>\n",
       "      <td>0.000160</td>\n",
       "      <td>0.000107</td>\n",
       "      <td>-0.000009</td>\n",
       "      <td>0.000390</td>\n",
       "      <td>0.000168</td>\n",
       "      <td>-0.000088</td>\n",
       "      <td>0.000037</td>\n",
       "      <td>-0.000049</td>\n",
       "      <td>0.000057</td>\n",
       "      <td>0.000053</td>\n",
       "      <td>-0.000066</td>\n",
       "      <td>-0.000014</td>\n",
       "      <td>-0.000051</td>\n",
       "      <td>-0.000024</td>\n",
       "      <td>-0.000001</td>\n",
       "      <td>0.000030</td>\n",
       "      <td>1.185847e-04</td>\n",
       "      <td>0.000131</td>\n",
       "      <td>0.000047</td>\n",
       "      <td>-0.000025</td>\n",
       "      <td>0.000013</td>\n",
       "      <td>0.000082</td>\n",
       "      <td>0.000085</td>\n",
       "      <td>-0.000079</td>\n",
       "      <td>2.228721e-04</td>\n",
       "      <td>-0.000011</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000072</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000018</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000052</td>\n",
       "      <td>-0.000031</td>\n",
       "      <td>-0.000379</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000005</td>\n",
       "      <td>0.000020</td>\n",
       "      <td>-0.000080</td>\n",
       "      <td>-0.000191</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000451</td>\n",
       "      <td>0.000114</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000049</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000111</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000074</td>\n",
       "      <td>-0.000095</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.005474</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000126</td>\n",
       "      <td>0.000011</td>\n",
       "      <td>-0.000135</td>\n",
       "      <td>0.000004</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000738</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>-0.000054</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000079</td>\n",
       "      <td>-0.000048</td>\n",
       "      <td>0.000044</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.615972e-05</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 27854 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   model_id          drug_name  proteomics_AAAS  proteomics_AACS   \n",
       "0         0  1;Erlotinib;GDSC1         0.000516        -0.000252  \\\n",
       "1         1  1;Erlotinib;GDSC1         0.000023         0.000014   \n",
       "2         2  1;Erlotinib;GDSC1         0.000026        -0.000010   \n",
       "3         3  1;Erlotinib;GDSC1         0.000027         0.000006   \n",
       "4         4  1;Erlotinib;GDSC1         0.000036        -0.000005   \n",
       "\n",
       "   proteomics_AAGAB  proteomics_AAK1  proteomics_AAMDC  proteomics_AAMP   \n",
       "0         -0.000044         0.000756          0.000395         0.000621  \\\n",
       "1         -0.000498        -0.000123         -0.000071        -0.000025   \n",
       "2         -0.000050         0.000007          0.000054        -0.000018   \n",
       "3          0.000017        -0.000053          0.000036        -0.000013   \n",
       "4          0.000039         0.000027          0.000013        -0.000017   \n",
       "\n",
       "   proteomics_AARS1  proteomics_AARS2  proteomics_AARSD1  proteomics_AASDHPPT   \n",
       "0         -0.000022         -0.000855           0.000567            -0.001360  \\\n",
       "1          0.000088          0.000414           0.000346             0.000262   \n",
       "2          0.000047         -0.000139          -0.000041            -0.000090   \n",
       "3         -0.000003          0.000036           0.000029             0.000031   \n",
       "4          0.000004          0.000089           0.000096            -0.000039   \n",
       "\n",
       "   proteomics_AASS  proteomics_AATF  proteomics_ABAT  proteomics_ABCB10   \n",
       "0         0.000044        -0.000160        -0.000012           0.000155  \\\n",
       "1         0.001688        -0.000199         0.000008           0.000022   \n",
       "2        -0.000005         0.000047         0.000002           0.000006   \n",
       "3        -0.000085         0.000038         0.000003           0.000072   \n",
       "4        -0.000076         0.000087         0.000006           0.000004   \n",
       "\n",
       "   proteomics_ABCB6  proteomics_ABCB7  proteomics_ABCC1  proteomics_ABCC3   \n",
       "0         -0.000092         -0.000235          0.000593          0.000010  \\\n",
       "1         -0.000246         -0.000561          0.001160          0.000004   \n",
       "2          0.000100          0.000038          0.000022          0.000006   \n",
       "3          0.000043         -0.000015          0.000031         -0.000004   \n",
       "4          0.000093         -0.000146          0.000219          0.000023   \n",
       "\n",
       "   proteomics_ABCC4  proteomics_ABCD1  proteomics_ABCD3  proteomics_ABCE1   \n",
       "0          0.000478     -1.786402e-06          0.000220          0.000113  \\\n",
       "1         -0.000017      3.098977e-06          0.000028          0.000213   \n",
       "2         -0.000008     -1.011878e-05          0.000027         -0.000053   \n",
       "3          0.000054     -8.295099e-07          0.000012          0.000015   \n",
       "4          0.000027      6.352137e-06          0.000033          0.000041   \n",
       "\n",
       "   proteomics_ABCF1  proteomics_ABCF2  proteomics_ABCF3  proteomics_ABHD10   \n",
       "0          0.000058         -0.000115         -0.000216          -0.000490  \\\n",
       "1          0.000270         -0.000168          0.000362           0.000860   \n",
       "2         -0.000127          0.000086          0.000057           0.000088   \n",
       "3         -0.000084         -0.000066         -0.000032           0.000040   \n",
       "4          0.000160          0.000107         -0.000009           0.000390   \n",
       "\n",
       "   proteomics_ABHD11  proteomics_ABHD12  proteomics_ABHD14B   \n",
       "0           0.000031           0.000349           -0.000035  \\\n",
       "1          -0.000024           0.001068            0.000095   \n",
       "2           0.000088          -0.000244            0.000019   \n",
       "3           0.000122           0.000023            0.000032   \n",
       "4           0.000168          -0.000088            0.000037   \n",
       "\n",
       "   proteomics_ABHD16A  proteomics_ABI1  proteomics_ABI2  proteomics_ABLIM1   \n",
       "0            0.000403        -0.000935        -0.000781           0.000023  \\\n",
       "1            0.000383         0.001206         0.000550           0.000009   \n",
       "2           -0.000115         0.000130        -0.000036           0.000012   \n",
       "3           -0.000066        -0.000008        -0.000037           0.000005   \n",
       "4           -0.000049         0.000057         0.000053          -0.000066   \n",
       "\n",
       "   proteomics_ABLIM3  proteomics_ABRACL  proteomics_ABRAXAS2  proteomics_ABT1   \n",
       "0           0.000002           0.000051             0.000044         0.000002  \\\n",
       "1          -0.000007          -0.000427             0.000148        -0.000086   \n",
       "2          -0.000006           0.000023            -0.000009         0.000022   \n",
       "3           0.000012          -0.000010             0.000012        -0.000001   \n",
       "4          -0.000014          -0.000051            -0.000024        -0.000001   \n",
       "\n",
       "   proteomics_ACAA1  proteomics_ACAA2  proteomics_ACACA  proteomics_ACAD10   \n",
       "0          0.000388      6.149877e-05          0.001118           0.000004  \\\n",
       "1          0.000980     -5.323709e-05          0.000198          -0.000143   \n",
       "2         -0.000001     -7.929257e-07          0.000020          -0.000027   \n",
       "3          0.000049      4.807431e-05         -0.000082           0.000005   \n",
       "4          0.000030      1.185847e-04          0.000131           0.000047   \n",
       "\n",
       "   proteomics_ACAD8  proteomics_ACAD9  proteomics_ACADM  proteomics_ACADS   \n",
       "0         -0.000778          0.000809          0.000275          0.000036  \\\n",
       "1          0.000420          0.000021          0.000012          0.000285   \n",
       "2          0.000159          0.000049          0.000053         -0.000067   \n",
       "3          0.000091         -0.000082         -0.000018         -0.000036   \n",
       "4         -0.000025          0.000013          0.000082          0.000085   \n",
       "\n",
       "   proteomics_ACADSB  proteomics_ACADVL  proteomics_ACAP2  ...   \n",
       "0           0.000055      -4.050561e-05         -0.000056  ...  \\\n",
       "1          -0.000210      -9.461105e-07         -0.000020  ...   \n",
       "2          -0.000003       6.647594e-05          0.000021  ...   \n",
       "3          -0.000051       7.782397e-05          0.000003  ...   \n",
       "4          -0.000079       2.228721e-04         -0.000011  ...   \n",
       "\n",
       "   conditionals_mut_PTPRB  conditionals_mut_PTPRC  conditionals_mut_PTPRK   \n",
       "0                0.000108                0.000025                0.000037  \\\n",
       "1                0.000000                0.000000                0.000036   \n",
       "2                0.000123                0.000069                0.000054   \n",
       "3                0.000051                0.000017                0.000020   \n",
       "4                0.000072                0.000000                0.000018   \n",
       "\n",
       "   conditionals_mut_PTPRT  conditionals_mut_QKI  conditionals_mut_RAC1   \n",
       "0                0.000000                   0.0               0.000000  \\\n",
       "1               -0.000441                   0.0               0.000013   \n",
       "2                0.000000                   0.0               0.000000   \n",
       "3               -0.000086                   0.0               0.000001   \n",
       "4                0.000000                   0.0               0.000000   \n",
       "\n",
       "   conditionals_mut_RASA1  conditionals_mut_RASA2  conditionals_mut_RB1   \n",
       "0                0.000027               -0.000091             -0.000695  \\\n",
       "1                0.000048                0.000006             -0.000233   \n",
       "2                0.000000                0.000000             -0.000911   \n",
       "3               -0.000007                0.000000             -0.000956   \n",
       "4                0.000052               -0.000031             -0.000379   \n",
       "\n",
       "   conditionals_mut_RGPD3  conditionals_mut_RGS7  conditionals_mut_RHOA   \n",
       "0                0.000000                    0.0               0.000000  \\\n",
       "1                0.000000                    0.0               0.000043   \n",
       "2               -0.000024                    0.0               0.000000   \n",
       "3               -0.000046                    0.0               0.000000   \n",
       "4                0.000000                    0.0               0.000000   \n",
       "\n",
       "   conditionals_mut_RNF43  conditionals_mut_RNF6  conditionals_mut_RPL22   \n",
       "0               -0.000039              -0.000013                0.000024  \\\n",
       "1                0.000013               0.000000                0.000010   \n",
       "2               -0.000003               0.000002               -0.000055   \n",
       "3               -0.000055               0.000000                0.000040   \n",
       "4               -0.000005               0.000020               -0.000080   \n",
       "\n",
       "   conditionals_mut_SDHA  conditionals_mut_SETD1B  conditionals_mut_SETD2   \n",
       "0              -0.000078                      0.0                0.000208  \\\n",
       "1              -0.000063                      0.0                0.000112   \n",
       "2              -0.000265                      0.0                0.000273   \n",
       "3              -0.000270                      0.0                0.000000   \n",
       "4              -0.000191                      0.0                0.000000   \n",
       "\n",
       "   conditionals_mut_SMAD4  conditionals_mut_SMARCA4  conditionals_mut_SMARCB1   \n",
       "0                0.000086                  0.000067                  0.000000  \\\n",
       "1                0.000152                  0.000018                  0.000000   \n",
       "2                0.000112                  0.000000                 -0.000016   \n",
       "3                0.000077                  0.000001                 -0.000014   \n",
       "4                0.000451                  0.000114                  0.000000   \n",
       "\n",
       "   conditionals_mut_SOX9  conditionals_mut_SPEN  conditionals_mut_STAG2   \n",
       "0              -0.000001               0.000111               -0.000106  \\\n",
       "1               0.000000               0.000000                0.000000   \n",
       "2               0.000037               0.000000               -0.000102   \n",
       "3               0.000000               0.000096               -0.000125   \n",
       "4              -0.000049               0.000000               -0.000111   \n",
       "\n",
       "   conditionals_mut_STAT5B  conditionals_mut_STK11  conditionals_mut_TAF15   \n",
       "0                 0.000005                0.000000               -0.000030  \\\n",
       "1                 0.000000                0.000007                0.000000   \n",
       "2                -0.000001                0.000018                0.000000   \n",
       "3                 0.000000                0.000210                0.000000   \n",
       "4                 0.000000                0.000000               -0.000074   \n",
       "\n",
       "   conditionals_mut_TET1  conditionals_mut_TET2  conditionals_mut_TGFBR2   \n",
       "0              -0.000027          -9.823125e-07                -0.000094  \\\n",
       "1              -0.000050           0.000000e+00                 0.000000   \n",
       "2               0.000000          -5.300283e-05                 0.000000   \n",
       "3               0.000000           0.000000e+00                 0.000084   \n",
       "4              -0.000095           0.000000e+00                 0.000000   \n",
       "\n",
       "   conditionals_mut_TNC  conditionals_mut_TP53  conditionals_mut_TRIM24   \n",
       "0              0.000000               0.004770                 0.000064  \\\n",
       "1              0.000000               0.006585                 0.000029   \n",
       "2              0.000000               0.004033                 0.000000   \n",
       "3             -0.000026               0.006642                 0.000054   \n",
       "4              0.000000               0.005474                 0.000000   \n",
       "\n",
       "   conditionals_mut_TRRAP  conditionals_mut_TSC2  conditionals_mut_UBR5   \n",
       "0                0.000113               0.000000              -0.000025  \\\n",
       "1                0.000043               0.000027               0.000000   \n",
       "2                0.000000              -0.000017              -0.000059   \n",
       "3                0.000040               0.000000              -0.000051   \n",
       "4                0.000126               0.000011              -0.000135   \n",
       "\n",
       "   conditionals_mut_USP8  conditionals_mut_USP9X  conditionals_mut_VHL   \n",
       "0               0.000000                0.000000              0.000079  \\\n",
       "1               0.000000               -0.000024              0.000332   \n",
       "2               0.000000                0.000000              0.000133   \n",
       "3               0.000000                0.000000              0.000117   \n",
       "4               0.000004                0.000000              0.000738   \n",
       "\n",
       "   conditionals_mut_WNK2  conditionals_mut_WNK4  conditionals_mut_WRN   \n",
       "0              -0.000014                0.00000              0.000000  \\\n",
       "1               0.000000                0.00001              0.000000   \n",
       "2              -0.000018                0.00000              0.000000   \n",
       "3               0.000000                0.00000             -0.000068   \n",
       "4               0.000000                0.00000             -0.000054   \n",
       "\n",
       "   conditionals_mut_ZEB1  conditionals_mut_ZFHX3  conditionals_mut_ZNF208   \n",
       "0                    0.0               -0.000006                -0.000053  \\\n",
       "1                    0.0                0.000017                 0.000063   \n",
       "2                    0.0                0.000012                -0.000010   \n",
       "3                    0.0                0.000000                -0.000051   \n",
       "4                    0.0                0.000079                -0.000048   \n",
       "\n",
       "   conditionals_mut_ZNF429  conditionals_mut_ZNF626  conditionals_mut_ZNF93   \n",
       "0                 0.000000                 0.000000                     0.0  \\\n",
       "1                 0.000035                 0.000000                     0.0   \n",
       "2                 0.000000                 0.000000                     0.0   \n",
       "3                 0.000000                 0.000023                     0.0   \n",
       "4                 0.000044                 0.000000                     0.0   \n",
       "\n",
       "   conditionals_mut_ZNRF3  conditionals_msi_status  \n",
       "0            9.863365e-07                      0.0  \n",
       "1            0.000000e+00                      0.0  \n",
       "2            0.000000e+00                      0.0  \n",
       "3            1.859355e-05                      0.0  \n",
       "4            1.615972e-05                      0.0  \n",
       "\n",
       "[5 rows x 27854 columns]"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_shap_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_shap_df.iloc[:, 2:] = all_shap_df.iloc[:, 2:].abs()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# aggregate latent"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "shap_latent_sum_df = all_shap_df.drop(columns=['model_id']).groupby('drug_name').sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "shap_latent_sum_df.to_csv(\n",
    "    f\"./reports/vae/files/{TIMESTAMP}_shap_values_df_sum_drug_response_T.csv.gz\",\n",
    "    compression=\"gzip\",\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "shap_latent_sum_df.T.to_excel(\n",
    "    f\"./reports/vae/files/{TIMESTAMP}_shap_values_df_sum_drug_response_T.xlsx\",\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "shap_latent_sum_df = pd.read_csv(\n",
    "    f\"~/scratch/cds4_backup/PhenPred/reports/vae/files/{TIMESTAMP}_shap_values_df_sum_drug_response_T.csv.gz\",\n",
    "    compression=\"gzip\",\n",
    "    index_col=0,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "conditionals_day4_day1_ratio                       8.964249\n",
       "conditionals_tissue_Haematopoietic and Lymphoid    5.281477\n",
       "conditionals_tissue_Lung                           2.424305\n",
       "drugresponse_1079;Dasatinib;GDSC2                  1.490593\n",
       "copynumber_CDKN2A                                  1.411493\n",
       "drugresponse_1034;Staurosporine;GDSC2              1.303493\n",
       "conditionals_mut_TP53                              1.287569\n",
       "drugresponse_1058;Pictilisib;GDSC2                 1.117347\n",
       "drugresponse_1092;Saracatinib;GDSC2                1.056100\n",
       "drugresponse_1918;AZD8186;GDSC2                    1.038402\n",
       "drugresponse_1091;BMS-536924;GDSC2                 0.935064\n",
       "drugresponse_1916;AZD5363;GDSC2                    0.832608\n",
       "drugresponse_1016;Temsirolimus;GDSC1               0.797200\n",
       "drugresponse_476;SB505124;GDSC1                    0.790659\n",
       "drugresponse_1561;Taselisib;GDSC2                  0.780895\n",
       "drugresponse_1038;NU7441;GDSC2                     0.762185\n",
       "drugresponse_1057;Dactolisib;GDSC2                 0.748539\n",
       "drugresponse_1527;Pictilisib;GDSC1                 0.727860\n",
       "copynumber_ZMYM2                                   0.723777\n",
       "conditionals_mut_KRAS                              0.718332\n",
       "Name: 1079;Dasatinib;GDSC2, dtype: float64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shap_latent_sum_df.loc[\"1079;Dasatinib;GDSC2\",:].sort_values(ascending=False).head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "conditionals_day4_day1_ratio                                     11.105681\n",
       "conditionals_tissue_Haematopoietic and Lymphoid                   8.591770\n",
       "conditionals_mut_TP53                                             3.969737\n",
       "conditionals_tissue_Lung                                          2.783128\n",
       "conditionals_mut_BRAF                                             2.215873\n",
       "drugresponse_1373;Dabrafenib;GDSC2                                1.520969\n",
       "drugresponse_1372;Trametinib;GDSC2                                1.380770\n",
       "conditionals_mut_KRAS                                             1.377716\n",
       "conditionals_tissue_Skin                                          1.348602\n",
       "drugresponse_1060;PD0325901;GDSC2                                 1.348163\n",
       "drugresponse_1564;SCH772984;GDSC2                                 1.042393\n",
       "drugresponse_1036;PLX-4720;GDSC2                                  1.027220\n",
       "drugresponse_1498;Selumetinib;GDSC1                               1.026933\n",
       "copynumber_RSPH10B2                                               1.022021\n",
       "drugresponse_1014;Refametinib;GDSC1                               0.993896\n",
       "drugresponse_1015;CI-1040;GDSC1                                   0.986628\n",
       "drugresponse_1060;PD0325901;GDSC1                                 0.959705\n",
       "drugresponse_1169;AZ628;GDSC2                                     0.959301\n",
       "drugresponse_1374;Dabrafenib (1373) + Trametinib (1372);GDSC1     0.953365\n",
       "drugresponse_2096;VX-11e;GDSC2                                    0.910616\n",
       "Name: 1373;Dabrafenib;GDSC2, dtype: float64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shap_latent_sum_df.loc[\"1373;Dabrafenib;GDSC2\", :].sort_values(ascending=False).head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "conditionals_tissue_Haematopoietic and Lymphoid    13.215321\n",
       "conditionals_day4_day1_ratio                        3.242867\n",
       "conditionals_mut_TP53                               2.178863\n",
       "conditionals_mut_KRAS                               1.397693\n",
       "conditionals_tissue_Lung                            1.289884\n",
       "conditionals_mut_KMT2D                              0.868625\n",
       "conditionals_tissue_Central Nervous System          0.802006\n",
       "conditionals_tissue_Skin                            0.794757\n",
       "copynumber_KDSR                                     0.778753\n",
       "copynumber_BCL2                                     0.774997\n",
       "copynumber_RSPH10B2                                 0.750881\n",
       "copynumber_GNAS                                     0.733231\n",
       "copynumber_SS18L1                                   0.698381\n",
       "copynumber_TCF4                                     0.681615\n",
       "copynumber_FAT1                                     0.658366\n",
       "copynumber_SDHA                                     0.632569\n",
       "copynumber_NFATC2                                   0.603512\n",
       "copynumber_PTK6                                     0.586460\n",
       "copynumber_RBM38                                    0.560345\n",
       "copynumber_ASXL1                                    0.552237\n",
       "Name: 1909;Venetoclax;GDSC2, dtype: float64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shap_latent_sum_df.loc[\"1909;Venetoclax;GDSC2\", :].sort_values(ascending=False).head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "metabolomics_C18:1 CE                  0.634476\n",
       "metabolomics_C20:4 CE                  0.565556\n",
       "metabolomics_C16:0 CE                  0.507626\n",
       "metabolomics_C18:2 CE                  0.489206\n",
       "metabolomics_AMP                       0.464623\n",
       "metabolomics_C16:1 SM                  0.450982\n",
       "metabolomics_C16:1 CE                  0.425531\n",
       "metabolomics_alpha-glycerophosphate    0.408386\n",
       "metabolomics_2-deoxycytidine           0.385471\n",
       "metabolomics_GABA                      0.379998\n",
       "metabolomics_CMP                       0.369415\n",
       "metabolomics_C20:3 CE                  0.363074\n",
       "metabolomics_proline                   0.359821\n",
       "metabolomics_cystathionine             0.357153\n",
       "metabolomics_C18:1 LPC                 0.353276\n",
       "metabolomics_C14:0 SM                  0.337039\n",
       "metabolomics_glycine                   0.328716\n",
       "metabolomics_C22:6 CE                  0.327208\n",
       "metabolomics_GMP                       0.324732\n",
       "metabolomics_C20:5 CE                  0.324316\n",
       "metabolomics_methionine                0.308075\n",
       "metabolomics_putrescine                0.306385\n",
       "metabolomics_hexoses (HILIC neg)       0.306041\n",
       "metabolomics_C18:0 CE                  0.303603\n",
       "metabolomics_oxalate                   0.300410\n",
       "metabolomics_C24:1 SM                  0.293829\n",
       "metabolomics_arginine                  0.286121\n",
       "metabolomics_betaine                   0.281656\n",
       "metabolomics_trimethylamine-N-oxide    0.279884\n",
       "metabolomics_xanthine                  0.278512\n",
       "metabolomics_C36:2 PC                  0.271700\n",
       "metabolomics_dCMP                      0.267420\n",
       "metabolomics_cytidine                  0.265441\n",
       "metabolomics_5-adenosylhomocysteine    0.263895\n",
       "metabolomics_C18:3 CE                  0.262677\n",
       "metabolomics_1-methylnicotinamide      0.261037\n",
       "metabolomics_glutamate                 0.260918\n",
       "metabolomics_C20:4 LPC                 0.257694\n",
       "metabolomics_UMP                       0.256204\n",
       "metabolomics_C16:0 SM                  0.249980\n",
       "Name: 1598;LGK974;GDSC2, dtype: float64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shap_latent_sum_df.loc[\"1598;LGK974;GDSC2\", :].sort_values(\n",
    "    ascending=False\n",
    ").filter(regex=\"metabolomics\").head(40)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "conditionals_day4_day1_ratio                       12.891475\n",
       "conditionals_tissue_Haematopoietic and Lymphoid    11.757055\n",
       "conditionals_tissue_Lung                            1.858955\n",
       "conditionals_mut_TP53                               1.703264\n",
       "conditionals_mut_KRAS                               1.580205\n",
       "conditionals_tissue_Central Nervous System          0.887554\n",
       "conditionals_mut_KMT2D                              0.805549\n",
       "copynumber_RSPH10B2                                 0.779329\n",
       "conditionals_tissue_Skin                            0.769206\n",
       "drugresponse_1200;Fulvestrant;GDSC2                 0.597216\n",
       "copynumber_PTPRD                                    0.589809\n",
       "copynumber_CR1                                      0.555907\n",
       "copynumber_MYC                                      0.547607\n",
       "drugresponse_1093;GSK1904529A;GDSC2                 0.534631\n",
       "conditionals_mut_HLA-A                              0.519787\n",
       "copynumber_APOBEC3B                                 0.501086\n",
       "copynumber_GNAS                                     0.498156\n",
       "copynumber_SDHA                                     0.493756\n",
       "drugresponse_2177;SGC0946;GDSC2                     0.480169\n",
       "drugresponse_1069;EHT-1864;GDSC2                    0.476325\n",
       "Name: 1200;Fulvestrant;GDSC2, dtype: float64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shap_latent_sum_df.loc[\"1200;Fulvestrant;GDSC2\", :].sort_values(ascending=False).head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "drug_name\n",
       "1797;Daraprim;GDSC2        0.537715\n",
       "1193;UNC0638;GDSC2         0.432501\n",
       "1593;Entinostat;GDSC2      0.419759\n",
       "1008;Methotrexate;GDSC2    0.417245\n",
       "279;BIX02189;GDSC1         0.384785\n",
       "2365;ML216;GDSC2           0.384018\n",
       "1236;UNC0638;GDSC1         0.381660\n",
       "2328;RGFP966;GDSC2         0.374583\n",
       "1248;Daporinad;GDSC2       0.374152\n",
       "2354;MCL1_8070;GDSC2       0.360423\n",
       "1989;Imatinib;GDSC2        0.357600\n",
       "2183;CPI-637;GDSC2         0.357409\n",
       "2281;CCT251545;GDSC2       0.343627\n",
       "275;I-BET-762;GDSC1        0.342910\n",
       "175;PAC-1;GDSC1            0.339333\n",
       "2291;MZ1;GDSC2             0.337677\n",
       "260;NG-25;GDSC1            0.336267\n",
       "1923;Nazartinib;GDSC2      0.336054\n",
       "1158;XMD11-85h;GDSC1       0.334956\n",
       "1506;PAC-1;GDSC2           0.331589\n",
       "Name: metabolomics_1-methylnicotinamide, dtype: float64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shap_latent_sum_df[\"metabolomics_1-methylnicotinamide\"].sort_values(\n",
    "    ascending=False\n",
    ").head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "global_feature_importance_df = (\n",
    "    shap_latent_sum_df.mean()\n",
    "    .sort_values(ascending=False)\n",
    "    .reset_index(name=\"importance\")\n",
    ")\n",
    "global_feature_importance_df.rename(columns={\"index\": \"feature\"}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "global_feature_importance_df.to_csv(\n",
    "    f\"./reports/vae/files/{TIMESTAMP}_shap_values_df_sum_global_drug_response.csv\", index=False\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "global_feature_importance_df = pd.read_csv(\n",
    "    f\"~/scratch/cds4_backup/PhenPred/reports/vae/files/{TIMESTAMP}_shap_values_df_sum_global_drug_response.csv\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "global_feature_importance_df[\"omic_layer\"] = global_feature_importance_df[\n",
    "    \"feature\"\n",
    "].map(lambda x: x.split(\"_\")[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# overall top 5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_sorted = global_feature_importance_df.sort_values(\n",
    "    [\"omic_layer\", \"importance\"], ascending=[True, False]\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "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>feature</th>\n",
       "      <th>importance</th>\n",
       "      <th>omic_layer</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>day4_day1_ratio</td>\n",
       "      <td>9.014879</td>\n",
       "      <td>conditionals</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>tissue_Haematopoietic and Lymphoid</td>\n",
       "      <td>7.739065</td>\n",
       "      <td>conditionals</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>tissue_Lung</td>\n",
       "      <td>1.715674</td>\n",
       "      <td>conditionals</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>mut_TP53</td>\n",
       "      <td>1.607691</td>\n",
       "      <td>conditionals</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>mut_KRAS</td>\n",
       "      <td>0.977371</td>\n",
       "      <td>conditionals</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              feature  importance    omic_layer\n",
       "0                     day4_day1_ratio    9.014879  conditionals\n",
       "1  tissue_Haematopoietic and Lymphoid    7.739065  conditionals\n",
       "2                         tissue_Lung    1.715674  conditionals\n",
       "3                            mut_TP53    1.607691  conditionals\n",
       "4                            mut_KRAS    0.977371  conditionals"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_sorted['feature'] = df_sorted['feature'].map(lambda x: \"_\".join(x.split(\"_\")[1:]))\n",
    "df_sorted.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_top5 = df_sorted.groupby('omic_layer').head(5).reset_index(drop=True)\n",
    "df_top2 = df_sorted.groupby('omic_layer').head(2).reset_index(drop=True)\n",
    "df_top1 = df_sorted.groupby('omic_layer').head(1).reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate the mean importance for each omic_layer\n",
    "mean_importance = df_top5.groupby(\"omic_layer\")[\"importance\"].mean().reset_index()\n",
    "\n",
    "# Sort omic_layer by mean importance\n",
    "mean_importance_sorted = mean_importance.sort_values(\"importance\", ascending=False)\n",
    "\n",
    "# Reorder DataFrame based on the sorted omic_layers\n",
    "df_top5[\"omic_layer\"] = pd.Categorical(\n",
    "    df_top5[\"omic_layer\"], categories=mean_importance_sorted[\"omic_layer\"], ordered=True\n",
    ")\n",
    "df_top5 = df_top5.sort_values(\n",
    "    [\"omic_layer\", \"importance\"], ascending=[True, False]\n",
    ").reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_top5_part1 = df_top5[\n",
    "    df_top5[\"omic_layer\"]\n",
    "    .isin([\"conditionals\", \"drugresponse\", \"copynumber\", \"metabolomics\"])\n",
    "    .reset_index(drop=True)\n",
    "]\n",
    "df_top5_part2 = df_top5[\n",
    "    ~df_top5[\"omic_layer\"]\n",
    "    .isin([\"conditionals\", \"drugresponse\", \"copynumber\", \"metabolomics\"])\n",
    "    .reset_index(drop=True)\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(2, 4))\n",
    "\n",
    "# Create a categorical scatter plot and set marker style and size\n",
    "g = sns.scatterplot(\n",
    "    data=df_top5_part1,\n",
    "    y=\"feature\",\n",
    "    x=\"importance\",\n",
    "    hue=\"omic_layer\",\n",
    "    palette=OMIC_PALLETS,\n",
    "    style=\"omic_layer\",\n",
    "    s=20,\n",
    ")\n",
    "\n",
    "# Draw lines connecting each point to the y-axis\n",
    "for _, row in df_top5_part1.iterrows():\n",
    "    plt.plot([0, row[\"importance\"]], [row[\"feature\"], row[\"feature\"]], \"grey\", lw=0.5)\n",
    "\n",
    "# plt.title(\"Top 5 Features from Each Omic Layer by Importance\")\n",
    "plt.ylabel(\"Feature\")\n",
    "plt.xlabel(\"Importance\")\n",
    "plt.legend(title=\"Omic Layer\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(2, 4))\n",
    "\n",
    "# Create a categorical scatter plot and set marker style and size\n",
    "sns.scatterplot(\n",
    "    data=df_top5_part2,\n",
    "    y=\"feature\",\n",
    "    x=\"importance\",\n",
    "    hue=\"omic_layer\",\n",
    "    style=\"omic_layer\",\n",
    "    s=20,\n",
    ")\n",
    "\n",
    "# Draw lines connecting each point to the y-axis\n",
    "for _, row in df_top5_part2.iterrows():\n",
    "    plt.plot([0, row[\"importance\"]], [row[\"feature\"], row[\"feature\"]], \"grey\", lw=0.5)\n",
    "\n",
    "# plt.title(\"Top 5 Features from Each Omic Layer by Importance\")\n",
    "plt.ylabel(\"Feature\")\n",
    "plt.xlabel(\"Importance\")\n",
    "plt.legend(title=\"Omic Layer\").remove()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# plot metabolomics 1-methylnicotinamide"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_feature_rank(feature, top=(0, 20)):\n",
    "    plot_df = (\n",
    "        shap_latent_sum_df.T[[feature]]\n",
    "        .sort_values(by=feature, ascending=False)\n",
    "        .head(20)\n",
    "    )\n",
    "    plot_df.index.name = \"feature\"\n",
    "    plot_df[\"omic_layer\"] = plot_df.index.map(lambda x: x.split(\"_\")[0])\n",
    "    plot_df[\"omic_layer\"] = pd.Categorical(\n",
    "        plot_df[\"omic_layer\"],\n",
    "        categories=marker_order,\n",
    "        ordered=True,\n",
    "    )\n",
    "    plot_df = plot_df.reset_index()\n",
    "    plot_df[\"feature\"] = plot_df[\"feature\"].map(lambda x: \"_\".join(x.split(\"_\")[1:]))\n",
    "    plot_df[\"feature\"] = plot_df[\"feature\"].map(lambda x: x.replace(\"tissue_\", \"\"))\n",
    "    plot_df[\"feature\"] = plot_df[\"feature\"].map(\n",
    "        lambda x: f\"{x.replace('mut_', '')} mutation\" if x.startswith(\"mut_\") else x\n",
    "    )\n",
    "    plot_df[\"feature\"] = plot_df[\"feature\"].map(\n",
    "        lambda x: f\"{x.split(';')[1]} ({x.split(';')[2]})\" if \"GDSC\" in x else x\n",
    "    )\n",
    "    plt.figure(figsize=(1.5, 3))\n",
    "    plot_df = plot_df.iloc[top[0] : top[1], :]\n",
    "\n",
    "    # Create a categorical scatter plot and set marker style and size\n",
    "    sns.scatterplot(\n",
    "        data=plot_df,\n",
    "        y=\"feature\",\n",
    "        x=feature,\n",
    "        hue=\"omic_layer\",\n",
    "        palette=OMIC_PALLETS,\n",
    "        style=\"omic_layer\",\n",
    "        s=20,\n",
    "    )\n",
    "\n",
    "    # Draw lines connecting each point to the y-axis\n",
    "    for _, row in plot_df.iterrows():\n",
    "        plt.plot([0, row[feature]], [row[\"feature\"], row[\"feature\"]], \"grey\", lw=0.5)\n",
    "\n",
    "    plt.title(f\"Top Features for {feature}\", fontdict={\"fontsize\": 8})\n",
    "    plt.ylabel(\"Feature\")\n",
    "    plt.xlabel(\"Importance\")\n",
    "    plt.legend(title=\"Omic Layer\").remove()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "marker_order = [\n",
    "    \"conditionals\",\n",
    "    \"copynumber\",\n",
    "    \"drugresponse\",\n",
    "    \"metabolomics\",\n",
    "    \"proteomics\",\n",
    "    \"crisprcas9\",\n",
    "    \"transcriptomics\",\n",
    "    \"methylation\",\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "feature = \"metabolomics_1-methylnicotinamide\"\n",
    "plot_df = shap_latent_sum_df[[feature]]\n",
    "plot_df[\"omic_layer\"] = \"drugresponse\"\n",
    "plot_df = plot_df.sort_values(by=feature, ascending=False).reset_index().head(20)\n",
    "plot_df[\"omic_layer\"] = pd.Categorical(\n",
    "    plot_df[\"omic_layer\"], categories=marker_order, ordered=True\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>metabolomics_1-methylnicotinamide</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>drug_name</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1001;AICA Ribonucleotide;GDSC1</th>\n",
       "      <td>0.164245</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1003;Camptothecin;GDSC2</th>\n",
       "      <td>0.189696</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1004;Vinblastine;GDSC1</th>\n",
       "      <td>0.131016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1004;Vinblastine;GDSC2</th>\n",
       "      <td>0.158694</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1005;Cisplatin;GDSC1</th>\n",
       "      <td>0.304157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1005;Cisplatin;GDSC2</th>\n",
       "      <td>0.197098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1006;Cytarabine;GDSC1</th>\n",
       "      <td>0.174322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1006;Cytarabine;GDSC2</th>\n",
       "      <td>0.205751</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1007;Docetaxel;GDSC1</th>\n",
       "      <td>0.235988</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1007;Docetaxel;GDSC2</th>\n",
       "      <td>0.141296</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1008;Methotrexate;GDSC1</th>\n",
       "      <td>0.310460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1008;Methotrexate;GDSC2</th>\n",
       "      <td>0.417245</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1009;Tretinoin;GDSC1</th>\n",
       "      <td>0.154581</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1009;Tretinoin;GDSC2</th>\n",
       "      <td>0.155139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1010;Gefitinib;GDSC1</th>\n",
       "      <td>0.096547</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1010;Gefitinib;GDSC2</th>\n",
       "      <td>0.133983</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1011;Navitoclax;GDSC1</th>\n",
       "      <td>0.220626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1011;Navitoclax;GDSC2</th>\n",
       "      <td>0.230282</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1012;Vorinostat;GDSC1</th>\n",
       "      <td>0.174259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1012;Vorinostat;GDSC2</th>\n",
       "      <td>0.230630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1013;Nilotinib;GDSC1</th>\n",
       "      <td>0.150721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1013;Nilotinib;GDSC2</th>\n",
       "      <td>0.169902</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1014;Refametinib;GDSC1</th>\n",
       "      <td>0.205662</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1014;Refametinib;GDSC2</th>\n",
       "      <td>0.133976</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1015;CI-1040;GDSC1</th>\n",
       "      <td>0.184246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1016;Temsirolimus;GDSC1</th>\n",
       "      <td>0.141709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1016;Temsirolimus;GDSC2</th>\n",
       "      <td>0.106810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017;Olaparib;GDSC1</th>\n",
       "      <td>0.149308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017;Olaparib;GDSC2</th>\n",
       "      <td>0.208918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1018;Veliparib;GDSC1</th>\n",
       "      <td>0.136759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1018;Veliparib;GDSC2</th>\n",
       "      <td>0.195114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1019;Bosutinib;GDSC1</th>\n",
       "      <td>0.119844</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1019;Bosutinib;GDSC2</th>\n",
       "      <td>0.216545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1020;Lenalidomide;GDSC1</th>\n",
       "      <td>0.147485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1020;Lenalidomide;GDSC2</th>\n",
       "      <td>0.204618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1021;Axitinib;GDSC1</th>\n",
       "      <td>0.165553</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1021;Axitinib;GDSC2</th>\n",
       "      <td>0.230407</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1022;AZD7762;GDSC1</th>\n",
       "      <td>0.140084</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1022;AZD7762;GDSC2</th>\n",
       "      <td>0.265741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1023;GW441756;GDSC1</th>\n",
       "      <td>0.161407</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1023;GW441756;GDSC2</th>\n",
       "      <td>0.194074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1024;Lestaurtinib;GDSC1</th>\n",
       "      <td>0.130718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1024;Lestaurtinib;GDSC2</th>\n",
       "      <td>0.318352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1025;SB216763;GDSC1</th>\n",
       "      <td>0.146609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1025;SB216763;GDSC2</th>\n",
       "      <td>0.170582</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1026;Tanespimycin;GDSC1</th>\n",
       "      <td>0.193161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1026;Tanespimycin;GDSC2</th>\n",
       "      <td>0.085426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1028;VX-702;GDSC1</th>\n",
       "      <td>0.188928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1029;Motesanib;GDSC1</th>\n",
       "      <td>0.102952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1029;Motesanib;GDSC2</th>\n",
       "      <td>0.264046</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                metabolomics_1-methylnicotinamide\n",
       "drug_name                                                        \n",
       "1001;AICA Ribonucleotide;GDSC1                           0.164245\n",
       "1003;Camptothecin;GDSC2                                  0.189696\n",
       "1004;Vinblastine;GDSC1                                   0.131016\n",
       "1004;Vinblastine;GDSC2                                   0.158694\n",
       "1005;Cisplatin;GDSC1                                     0.304157\n",
       "1005;Cisplatin;GDSC2                                     0.197098\n",
       "1006;Cytarabine;GDSC1                                    0.174322\n",
       "1006;Cytarabine;GDSC2                                    0.205751\n",
       "1007;Docetaxel;GDSC1                                     0.235988\n",
       "1007;Docetaxel;GDSC2                                     0.141296\n",
       "1008;Methotrexate;GDSC1                                  0.310460\n",
       "1008;Methotrexate;GDSC2                                  0.417245\n",
       "1009;Tretinoin;GDSC1                                     0.154581\n",
       "1009;Tretinoin;GDSC2                                     0.155139\n",
       "1010;Gefitinib;GDSC1                                     0.096547\n",
       "1010;Gefitinib;GDSC2                                     0.133983\n",
       "1011;Navitoclax;GDSC1                                    0.220626\n",
       "1011;Navitoclax;GDSC2                                    0.230282\n",
       "1012;Vorinostat;GDSC1                                    0.174259\n",
       "1012;Vorinostat;GDSC2                                    0.230630\n",
       "1013;Nilotinib;GDSC1                                     0.150721\n",
       "1013;Nilotinib;GDSC2                                     0.169902\n",
       "1014;Refametinib;GDSC1                                   0.205662\n",
       "1014;Refametinib;GDSC2                                   0.133976\n",
       "1015;CI-1040;GDSC1                                       0.184246\n",
       "1016;Temsirolimus;GDSC1                                  0.141709\n",
       "1016;Temsirolimus;GDSC2                                  0.106810\n",
       "1017;Olaparib;GDSC1                                      0.149308\n",
       "1017;Olaparib;GDSC2                                      0.208918\n",
       "1018;Veliparib;GDSC1                                     0.136759\n",
       "1018;Veliparib;GDSC2                                     0.195114\n",
       "1019;Bosutinib;GDSC1                                     0.119844\n",
       "1019;Bosutinib;GDSC2                                     0.216545\n",
       "1020;Lenalidomide;GDSC1                                  0.147485\n",
       "1020;Lenalidomide;GDSC2                                  0.204618\n",
       "1021;Axitinib;GDSC1                                      0.165553\n",
       "1021;Axitinib;GDSC2                                      0.230407\n",
       "1022;AZD7762;GDSC1                                       0.140084\n",
       "1022;AZD7762;GDSC2                                       0.265741\n",
       "1023;GW441756;GDSC1                                      0.161407\n",
       "1023;GW441756;GDSC2                                      0.194074\n",
       "1024;Lestaurtinib;GDSC1                                  0.130718\n",
       "1024;Lestaurtinib;GDSC2                                  0.318352\n",
       "1025;SB216763;GDSC1                                      0.146609\n",
       "1025;SB216763;GDSC2                                      0.170582\n",
       "1026;Tanespimycin;GDSC1                                  0.193161\n",
       "1026;Tanespimycin;GDSC2                                  0.085426\n",
       "1028;VX-702;GDSC1                                        0.188928\n",
       "1029;Motesanib;GDSC1                                     0.102952\n",
       "1029;Motesanib;GDSC2                                     0.264046"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shap_latent_sum_df[[feature]].head(50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(3.5, 1.5))\n",
    "\n",
    "# Create a categorical scatter plot and set marker style and size\n",
    "ax1 = sns.scatterplot(\n",
    "    data=plot_df,\n",
    "    x=\"drug_name\",\n",
    "    y=feature,\n",
    "    hue=\"omic_layer\",\n",
    "    palette=OMIC_PALLETS,\n",
    "    style=\"omic_layer\",\n",
    "    s=20,\n",
    ")\n",
    "\n",
    "# Draw lines connecting each point to the y-axis\n",
    "for _, row in plot_df.iterrows():\n",
    "    plt.plot([row[\"drug_name\"], row[\"drug_name\"]], [0, row[feature]], \"grey\", lw=0.5)\n",
    "\n",
    "tick_labels = plot_df[\"drug_name\"].map(\n",
    "    lambda x: f\"{x.split(';')[1]} ({x.split(';')[2]})\" if \"GDSC\" in x else x\n",
    ")\n",
    "ax1.set_xticklabels(tick_labels)\n",
    "\n",
    "plt.setp(ax1.get_xticklabels(), rotation=45, ha=\"right\", size=6, rotation_mode=\"anchor\")\n",
    "plt.title(f\"\")\n",
    "# plt.xlim(0.5, 0.9)\n",
    "plt.ylabel(\"\")\n",
    "plt.xlabel(\"1-methylnicotinamide Importance\")\n",
    "plt.legend(title=\"Omic Layer\").remove()\n",
    "plt.savefig(\n",
    "    f\"./reports/vae/drugresponse/{TIMESTAMP}_1-methylnicotinamide_top10_h.pdf\",\n",
    "    bbox_inches=\"tight\",\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 300x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(1.5, 3))\n",
    "\n",
    "# Create a categorical scatter plot and set marker style and size\n",
    "sns.scatterplot(\n",
    "    data=plot_df,\n",
    "    y=\"drug_name\",\n",
    "    x=feature,\n",
    "    hue=\"omic_layer\",\n",
    "    palette=OMIC_PALLETS,\n",
    "    style=\"omic_layer\",\n",
    "    s=20,\n",
    ")\n",
    "\n",
    "# Draw lines connecting each point to the y-axis\n",
    "for _, row in plot_df.iterrows():\n",
    "    plt.plot([0, row[feature]], [row[\"drug_name\"], row[\"drug_name\"]], \"grey\", lw=0.5)\n",
    "\n",
    "plt.title(f\"\")\n",
    "# plt.xlim(0.5, 0.9)\n",
    "plt.ylabel(\"\")\n",
    "plt.xlabel(\"1-methylnicotinamide Importance\")\n",
    "plt.legend(title=\"Omic Layer\").remove()\n",
    "plt.savefig(f\"./reports/vae/drugresponse/{TIMESTAMP}_1-methylnicotinamide_top10.pdf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "feature = plot_df[\"drug_name\"].values[0]\n",
    "feature_plot_df = (\n",
    "    shap_latent_sum_df.T[[plot_df[\"drug_name\"].values[0]]]\n",
    "    .sort_values(by=feature, ascending=False)\n",
    "    .head(20)\n",
    ")\n",
    "feature_plot_df.index.name = \"feature\"\n",
    "feature_plot_df[\"omic_layer\"] = feature_plot_df.index.map(lambda x: x.split(\"_\")[0])\n",
    "feature_plot_df[\"omic_layer\"] = pd.Categorical(\n",
    "    feature_plot_df[\"omic_layer\"], categories=marker_order, ordered=True\n",
    ")\n",
    "feature_plot_df = feature_plot_df.reset_index()\n",
    "feature_plot_df[\"feature\"] = feature_plot_df[\"feature\"].map(\n",
    "    lambda x: \"_\".join(x.split(\"_\")[1:])\n",
    ")\n",
    "feature_plot_df[\"feature\"] = feature_plot_df[\"feature\"].map(\n",
    "    lambda x: f\"{x.replace('mut_', '')} mutation\" if x.startswith(\"mut_\") else x\n",
    ")\n",
    "feature_plot_df[\"feature\"] = feature_plot_df[\"feature\"].map(\n",
    "    lambda x: f\"{x.split(';')[1]} ({x.split(';')[2]})\" if \"GDSC\" in x else x\n",
    ")\n",
    "feature_plot_df[\"feature\"] = feature_plot_df[\"feature\"].map(\n",
    "    lambda x: x.replace(\"tissue_\", \"\")\n",
    ")\n",
    "feature_plot_df = feature_plot_df.iloc[:20, :]\n",
    "\n",
    "plt.figure(figsize=(3.5, 1.5))\n",
    "\n",
    "# Create a categorical scatter plot and set marker style and size\n",
    "ax1 = sns.scatterplot(\n",
    "    data=feature_plot_df,\n",
    "    x=\"feature\",\n",
    "    y=feature,\n",
    "    hue=\"omic_layer\",\n",
    "    palette=OMIC_PALLETS,\n",
    "    style=\"omic_layer\",\n",
    "    s=20,\n",
    ")\n",
    "\n",
    "# Draw lines connecting each point to the y-axis\n",
    "for _, row in feature_plot_df.iterrows():\n",
    "    plt.plot([row[\"feature\"], row[\"feature\"]], [0, row[feature]], \"grey\", lw=0.5)\n",
    "\n",
    "ax1.set_xticklabels(\n",
    "    [x.split(\";\")[1] if \";\" in x else x for x in feature_plot_df[\"feature\"]]\n",
    ")\n",
    "plt.setp(ax1.get_xticklabels(), rotation=45, ha=\"right\", size=6, rotation_mode=\"anchor\")\n",
    "plt.title(f\"\")\n",
    "# plt.xlim(0.5, 0.9)\n",
    "plt.ylabel(\"\")\n",
    "plt.xlabel(\"\")\n",
    "plt.legend(title=\"Omic Layer\").remove()\n",
    "plt.savefig(\n",
    "    f\"./reports/vae/drugresponse/{TIMESTAMP}_{feature}_top20_h.pdf\",\n",
    "    bbox_inches=\"tight\",\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plot_df = (\n",
    "    shap_latent_sum_df.T[[plot_df['drug_name'].values[0]]]\n",
    "    .sort_values(by=feature, ascending=False)\n",
    "    .head(20)\n",
    ")\n",
    "plot_df.index.name = \"feature\"\n",
    "plot_df[\"omic_layer\"] = plot_df.index.map(lambda x: x.split(\"_\")[0])\n",
    "plot_df[\"omic_layer\"] = pd.Categorical(\n",
    "    plot_df[\"omic_layer\"], categories=marker_order, ordered=True\n",
    ")\n",
    "plot_df = plot_df.reset_index()\n",
    "plot_df['feature'] = plot_df['feature'].map(lambda x: \"_\".join(x.split(\"_\")[1:]))\n",
    "plt.figure(figsize=(1.5, 3))\n",
    "plot_df = plot_df.iloc[top[0] : top[1], :]\n",
    "\n",
    "# Create a categorical scatter plot and set marker style and size\n",
    "sns.scatterplot(\n",
    "    data=plot_df,\n",
    "    y=\"feature\",\n",
    "    x=feature,\n",
    "    hue=\"omic_layer\",\n",
    "    palette=OMIC_PALLETS,\n",
    "    style=\"omic_layer\",\n",
    "    s=20,\n",
    ")\n",
    "\n",
    "# Draw lines connecting each point to the y-axis\n",
    "for _, row in plot_df.iterrows():\n",
    "    plt.plot([0, row[feature]], [row[\"feature\"], row[\"feature\"]], \"grey\", lw=0.5)\n",
    "\n",
    "plt.title(f\"Top Features for {feature}\", fontdict={\"fontsize\": 8})\n",
    "plt.ylabel(\"Feature\")\n",
    "plt.xlabel(\"Importance\")\n",
    "plt.legend(title=\"Omic Layer\").remove()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "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>drug_name</th>\n",
       "      <th>metabolomics_1-methylnicotinamide</th>\n",
       "      <th>omic_layer</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1797;Daraprim;GDSC2</td>\n",
       "      <td>0.537715</td>\n",
       "      <td>drugresponse</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1193;UNC0638;GDSC2</td>\n",
       "      <td>0.432501</td>\n",
       "      <td>drugresponse</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1593;Entinostat;GDSC2</td>\n",
       "      <td>0.419759</td>\n",
       "      <td>drugresponse</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1008;Methotrexate;GDSC2</td>\n",
       "      <td>0.417245</td>\n",
       "      <td>drugresponse</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>279;BIX02189;GDSC1</td>\n",
       "      <td>0.384785</td>\n",
       "      <td>drugresponse</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2365;ML216;GDSC2</td>\n",
       "      <td>0.384018</td>\n",
       "      <td>drugresponse</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1236;UNC0638;GDSC1</td>\n",
       "      <td>0.381660</td>\n",
       "      <td>drugresponse</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2328;RGFP966;GDSC2</td>\n",
       "      <td>0.374583</td>\n",
       "      <td>drugresponse</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1248;Daporinad;GDSC2</td>\n",
       "      <td>0.374152</td>\n",
       "      <td>drugresponse</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2354;MCL1_8070;GDSC2</td>\n",
       "      <td>0.360423</td>\n",
       "      <td>drugresponse</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1989;Imatinib;GDSC2</td>\n",
       "      <td>0.357600</td>\n",
       "      <td>drugresponse</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2183;CPI-637;GDSC2</td>\n",
       "      <td>0.357409</td>\n",
       "      <td>drugresponse</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2281;CCT251545;GDSC2</td>\n",
       "      <td>0.343627</td>\n",
       "      <td>drugresponse</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>275;I-BET-762;GDSC1</td>\n",
       "      <td>0.342910</td>\n",
       "      <td>drugresponse</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>175;PAC-1;GDSC1</td>\n",
       "      <td>0.339333</td>\n",
       "      <td>drugresponse</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2291;MZ1;GDSC2</td>\n",
       "      <td>0.337677</td>\n",
       "      <td>drugresponse</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>260;NG-25;GDSC1</td>\n",
       "      <td>0.336267</td>\n",
       "      <td>drugresponse</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1923;Nazartinib;GDSC2</td>\n",
       "      <td>0.336054</td>\n",
       "      <td>drugresponse</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1158;XMD11-85h;GDSC1</td>\n",
       "      <td>0.334956</td>\n",
       "      <td>drugresponse</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1506;PAC-1;GDSC2</td>\n",
       "      <td>0.331589</td>\n",
       "      <td>drugresponse</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  drug_name  metabolomics_1-methylnicotinamide    omic_layer\n",
       "0       1797;Daraprim;GDSC2                           0.537715  drugresponse\n",
       "1        1193;UNC0638;GDSC2                           0.432501  drugresponse\n",
       "2     1593;Entinostat;GDSC2                           0.419759  drugresponse\n",
       "3   1008;Methotrexate;GDSC2                           0.417245  drugresponse\n",
       "4        279;BIX02189;GDSC1                           0.384785  drugresponse\n",
       "5          2365;ML216;GDSC2                           0.384018  drugresponse\n",
       "6        1236;UNC0638;GDSC1                           0.381660  drugresponse\n",
       "7        2328;RGFP966;GDSC2                           0.374583  drugresponse\n",
       "8      1248;Daporinad;GDSC2                           0.374152  drugresponse\n",
       "9      2354;MCL1_8070;GDSC2                           0.360423  drugresponse\n",
       "10      1989;Imatinib;GDSC2                           0.357600  drugresponse\n",
       "11       2183;CPI-637;GDSC2                           0.357409  drugresponse\n",
       "12     2281;CCT251545;GDSC2                           0.343627  drugresponse\n",
       "13      275;I-BET-762;GDSC1                           0.342910  drugresponse\n",
       "14          175;PAC-1;GDSC1                           0.339333  drugresponse\n",
       "15           2291;MZ1;GDSC2                           0.337677  drugresponse\n",
       "16          260;NG-25;GDSC1                           0.336267  drugresponse\n",
       "17    1923;Nazartinib;GDSC2                           0.336054  drugresponse\n",
       "18     1158;XMD11-85h;GDSC1                           0.334956  drugresponse\n",
       "19         1506;PAC-1;GDSC2                           0.331589  drugresponse"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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A/fr1w97eXkk3NjZm2LBhFCpUiPPnz3P48GGddQcMGICtra3y2sHBAX9/f51mhPTQNIGk9qcpI0BERARhYWHkzp2bMWPGkDVrVmVZ4cKF6d+/PwDz5s1T0rNnz07VqlXp3r27VjNGlixZ8PT0BPjkI04dHR21mjL09fU5ffo0x44dQ6VSERgYqNV8UrZsWfz8/EhISGDx4sVASs1jTEwMpqamWFhYKHkNDQ3p3bs3w4YNo3r16u9dxpUrVxITE8P333+vnBeNFi1a0LRpU169epXqtf3++++VX/qakZ2fSnR0tFID1KlTp1TzNGvWDEgZbfv61CLx8fEMHz5c6XMWHx+f6vrHjx/n9OnTWFlZ0bx581TzGBkZUaxYMYoVK/befeM00zi83oxlZGRE9erV+eWXX7RGNBoYGPDTTz8Bad+v3t7eyvnX/Psh939QUJBWP8maNWvy448/ptrsCxm/D/T09Pj111+V82dsbEz9+vWBlL5pAQEBSt7cuXMrtWM3b95U0tO6DpouBdbW1qnue8qUKfTp00fnb9SoUe8sd2pen5Lj9a4nTZs2JSQkhLx586JWqzl37hxz587Fz88PZ2dnfHx8Uu36oblHc+XK9V7lScuSJUsICwvD1NSUXr16fdRta8g0IkJ8YomJiZw4cQI9PT3q1auns9zQ0JC6desyZ84cwsPDqVSpkrLMyMgo1XXq1KnDhAkTtPpUpcfbpnAoVqyY8v+jR4+SlJSkDIl/U9WqVdHX1+f48eMkJSVhYGBA9+7ddfK9fPmSS5cuKf2J0voi/1heD3Q1NEGxs7Nzql921atXZ/z48Rw5cgRI+SAvWrQo169fp2nTpjRr1oxq1aqhUqkoXLgwhQsX/qAyHj16FEBnjjSNhg0bsm7dOqU8r0ttrqxPZd26dTx//pwqVaqkOa1HmzZtOHDgAPv27aN58+Y4ODiQI0cOzp8/T1RUFE2bNmX9+vVpBl6aoLlNmzZv7Tv1oTSDSV4PrNq0aUObNm208sXExHDlyhX27t0LpH2/pnafve/9ny9fPsqVK6eTXqdOHZYvX054eDhdu3bVWpbR+6BgwYI6TXia1yVKlNCZkkMTJKXn/appRk/Lnj17uHjxok76d999x6+//vrO7b9Jcy0Bnf5uderUwd3dnaNHj7J3716OHDnC33//TVJSEocPH+bw4cM0a9aMMWPGKJ8FBgYGACQlJWW4LGlZvHixMoBh9OjRWp+tH5MEcEJ8Ys+ePSMhIQFLS8s0+wpp5iV6c5Rc3rx5U/1i03QAfvjwYYbK8ubkrWm5f/8+ALt27Xrrl0VMTAzPnz9Xvgxu377N8uXLOXnyJP/8849S46H5oFV/4icu5MiRQydNcyxLlix56+Swrw9OmDp1Kt27d+fatWtMnDiRiRMnYm1tTc2aNWnZsmWqo+zSS3PNbGxsUl2e1r0AfLIJQVOzdetWAJo0aZJmHkNDQ2bMmMGSJUtYs2YNZ8+eJXv27Li5udGtWzc2b94MpF7umJgY9uzZA7x7fsIPpampefP+ePz4MStWrCA8PJx//vmHx48fo1ar33m/pnUd3uf+T2sCa02NXGrv8YzeB6m9LzRlSq3vVloDAVLz3XffAWl/Fm3YsEHrdUYmFk/N8+fPgZQyZsuWTWe5gYEBrq6uuLq6AhAVFcXhw4dZuXIl+/btY926dTg4ONCqVSsArKysuHTp0jv7taaHWq1m4sSJzJ07FwMDA0aPHk2jRo0+eLtpkQBOiE9M86H9tg9FTZ43g7W0mkc0+T/VpLCaX9XFixdP96SqYWFh9O/fn8TERAoVKoSLiwvFixfHzs6O5OTk9xoBmZq3/VJO7RxrjsXe3v6ttWevr6sZ0Xro0CF27drFgQMH+Oeff1i5ciV//PEHgwcPpnXr1u9V/nfdD2ndC/Dpm001nj59yokTJzA2Nn7nl62hoSHt2rWjXbt2Oss0gxdSm9pi3759xMbG4ujomGYw+7FoaoBe/zESHh6On58f0dHR5M2bl7Jly1KsWDFKly6NjY0NLVq0SHN7qV2H973/NTVAb3rbezyj98GnnDxa8/lw4sSJT7aP12mmDylatKjyHrl//z537tyhcOHCWFlZaeU3Nzendu3a1K5dm6CgIBYuXMjGjRuVAM7Ozo6//vqLM2fOvPWaQ0qNamhoKK6urlSpUkXrvMbGxtK3b1/+97//YWJiwqRJk6hdu/bHPHQdEsAJ8YlZWFhgZGTEs2fPiIqKSrUWTjMC9c1+GI8ePdKqEdDQjLL6VPOLaT4ES5Uqla5au1evXjFkyBAAQkNDdb70d+zYkaH96+npoVarU22e0fwCTy/NsVSpUiVDfVEMDAxwc3PDzc0NSBnJunjxYhYsWMDEiRP58ccf36tPlrW1NTdu3ODOnTvKKNnXafpJfew+ORmxb98+kpKScHNzS7WWQ+PWrVvcvHkTe3t7rf6CkBKAhIeHo6enl+ooSU0zZZ06dT5q2VOjGdVbuXJlpWyDBg0iOjqaoUOHKl/mGhcuXMjQ9j/k/o+IiEg1/d69e8CXm0MwverXr8+oUaM4duwYt27d0pkG5mN781oCzJgxg5UrV9KnT580+2tCSh/ThQsXavWdq1WrFjNnzmT37t3ExcXpzCH3um3btjF//nzWr1+vNc1MVFQUHTt25OTJk+TKlYsZM2ZQtmzZDzjK9JFBDEJ8YkZGRjg5OZGcnJzqB3liYqKS7uLiorXs1atXSp+p12mmN6hateonKDFUrFgRSOmvFRMTo7P8/Pnz1K9fn+7du6NWq7ly5QqvXr2iRIkSqdbYaD7s0tuEqul392azRkJCwjvnFEvrWPbv359qQLhz5048PDwYPnw4AEeOHKFBgwbKF7JGvnz5CAwMJHv27ERHR/Py5csMlePN8qQ1h5tmWoMv+fxOzfxgqfXNet3q1avp2LGj0lT6ut27dxMREYGLi0uqwWh69/GhTp48yYEDBzAzM+P7778HUppOb9++Tfbs2XWCN/j3fn1X/y6ND7n/r169muoUQprPhE/1Hv9YLCwsaN26NcnJyfTt25e4uLi35s9ocPy627dvs2nTJvT19fnxxx+VdM0jAFetWpXq55XGjRs3AHQGhVWoUIGHDx8yc+bMNNd99uwZs2bNAuCnn35Sak4TEhLo3LkzJ0+epFChQqxcufKzBG8gAZwQn4WPjw8A48eP1/oA00yweuvWLUqVKpXq3Eivj+aDlC+kmTNnYmxsnOqXz8dQoEABatWqxYMHDxg0aBBRUVHKsidPnjBw4EBu3LhBnjx50NPTU/rA3bhxg+vXryt5NSNlNTP2v/nhrvm1+2YwVLJkSQAWLVqkpCUlJTFu3LgM91VxcXGhdOnSnD9/nvHjx2t1zL558yajRo3iypUrSvNqiRIluHXrFuvXr+f48eNa29qzZw8vXrwgf/787z2v048//oiZmRnr1q1TniGqsWbNGjZs2ICZmZkywvNL0ATJDg4Ob82nmZNrzpw5Wvfo1atXGTp0KJB65/7o6GiuX7+erjnMEhISuHbtGteuXdPqwJ4ehw4dUn5k9OjRQ7lm2bJlw8jIiBcvXuj8QPrf//5HaGgokP5BN+97/2vyDBw4UOs9tnPnTlavXo2FhYUSdH5pb7sOvXv3xt7enlOnTtGiRQuOHj2qE6zeu3ePYcOG0bNnTyDjNcznz5/H19eX6Oho2rRpoxWEeXh4UKRIEW7evEnHjh1TnXfw2LFjjBgxAn19fZ3m/mHDhmFiYkJoaCjjxo3jxYsXWstv376Nn58ft2/fpnDhwlq1fCEhIRw/fhwrKyuWLFnyXk87eV/ShCrEZ1C7dm3at2/P/PnzadGiBeXLl8fS0pLTp0/z4MEDbGxsmDJlSqp9W6KioqhXrx6urq5ER0dz5MgR1Go1w4cPp0iRIp+szCNHjuTmzZts3ryZAwcOYG9vj56eHseOHSM6OhonJyflw7hgwYK4u7uza9cumjZtirOzM1myZOHChQvcu3eP4sWLc/XqVR4/fqy1j0KFCnH9+nV69OhBmTJl6Nu3LwUKFKB9+/acOHGCBQsWcPjwYQoUKMC5c+d4/PgxDRs2VGqp0kNPT4/Jkyfj4+PDggUL2Lx5M2XKlCE2NpZjx46RkJBA3bp1lRGJlpaW9O3bl6CgIFq3bo2joyPW1tZERERw6tQpDA0NdWrnMuK7775j3Lhx/PLLL/Tv358FCxZQpEgRbty4wcWLFzE1NWXChAmfvF/Y22iacd/1ZeTo6IiXlxdLliyhQYMGVKhQgdjYWI4ePUpiYiIDBgxI9UfJ/fv3SUpKIm/evG9tsoKUJsaGDRsC8Oeff6b6IPI+ffoo/1er1URFRXHlyhWlq0HHjh21Jgk2MTGhZcuWLFmyBB8fHypWrEj27Nm5cuUKN27cwMbGhsjISF6+fElsbOw7J3h93/sfUmqbL168SJ06dahYsSKPHj3ixIkTmJiYMG7cuFQHGXwJb7sOxsbGysjLVatW0aZNG/LmzUuxYsUwMzPj7t27XLhwAbVajbGxMa1bt1Y+O94UFBSk9TD76Ohobty4odSeNW7cWJnGSMPIyIh58+bRsWNHjh07RsOGDbG1tVUGiFy9epUbN24oj9rS1NhplChRgkWLFuHn58f8+fNZsWIFdnZ25M6dmwcPHnDmzBmSkpKwtbVl1qxZyrRKz58/V35k5sqViwkTJqR5/gIDAz/6A+0lgBPiM+nfvz8VKlRg6dKlnDt3jri4OPLnz4+/vz/t2rVLdaQYwLJly5g0aRL79+9HX1+fKlWqpPpIl48tV65c/PHHHyxatIitW7dy9OhRjI2NKVKkCE2aNKFly5ZaX2xTpkxh3rx5bN68maNHj2Jubo6NjQ0///wzPj4+tGjRgsuXL3Pu3Dns7OwAGDhwIK9eveLMmTMcPHiQ69evU6BAAWrXrs2sWbOYPXs258+f5/bt21SoUIHQ0FCOHz+eoQAOUh7Bs379eubOncuff/7JgQMHyJo1K3Z2dvz44480adJEqzN527Ztsba2ZsWKFVy8eJGzZ89iaWlJo0aN6NSpU7oHdqSlbt26rF69Wpk65tq1a1hZWdGiRQvat2//yaYdSA+1Ws2zZ8/Q09NTRhi+zcCBA8mfPz+rVq3ir7/+wsLCAjc3N+WRcal5+vQp8PH6d23atEnrtampKXny5KF58+a0bNky1SatAQMGUKRIEVauXMmZM2cwNjbGxsYGPz8/OnToQL9+/di9ezd79+5NdSqfN73P/Q8ptYHz589n3Lhx7N+/H1NTU+rXr4+/v79SE50ZmJmZMWrUKLy8vNiwYQOHDx/m77//5sWLF1hYWChPpmjevPlbA5k3n36RJUsWrK2tadSoEc2bN1f6pL7JxsaGjRs3snbtWnbt2sWlS5eUz8zvvvuONm3a0Lp16zSfFuHo6MiWLVtYvnw5e/fu5eLFi0RHR2Nubk758uVp0KABLVq00BpcdPr0aaXJ9uLFi6lOl6LRrVu3jx7A6ak/9bh+IcR70YyYO3/+/CcdRSbE1y4yMhJXV1cOHTr0aR5J9AVoptP47rvv2Ldv35cuTrp8i9chM5M+cEIIIb5q+/btI2/evF9Nc+J/lVyHr4sEcEIIIb5az58/Z/z48QwePDhDE8yKj0uuw9dH2mWEEEJ8tXLkyMH//vc/refxis9PrsPXR/rACSGEEEJkMtKEKoQQQgiRyUgAJ4QQQgiRyUgAJ4QQQgiRyUgAJ4QQQgiRyUgAJ4QQQgiRyUgAJ4QQQgiRyUgAJ4QQQgiRyUgAJ4QQQgiRyUgAJ4QQQgiRyUgAJ4QQQgiRyUgAJ4QQQgiRyUgAJ4QQQgiRyRh+6QIIIf7bGjVqRIECBb50MYQQabh9+zabN2/+0sUQb5AATgjxRRUoUICZM2d+6WIIIdLg5+f3pYsgUiFNqEIIIYQQmYwEcEIIIYQQmYwEcEIIIYQQmYwEcEIIIYQQmYwEcEIIIYQQmYwEcEIIIYQQmYwEcEIIIYQQmYwEcEIIIYQQmYwEcEIIIYQQmYwEcEIIIYQQmYwEcEIIIYQQmYwEcEIIIYQQmYw8zF4IgVqtRk9P70sXQwjxCSUnJxOXkIyBvh5JyWoMDfRJTk4mi7GEApmR1MCJz27t2rWoVCru3LnzyfbRtWtX3N3dP9r2vLy88PLy+mjbS83ixYs/apnT6/jx4/j6+iqv79y5g0qlYu3atZ+9LEKITyMuPomDZ+4zaMYBPAPD+HHgZtqO2M7KnZd5+SqehMTkL11EkUESdotvzoYNG9ixYwc2NjZfuijptnHjRsaNG8d333332fe9atUqrl69qry2trZm5cqVFCxY8LOXRQjx8cXGJzJ20VGOX3yolf7iVTyr/rzC9sM3GRvgRp5cZhgZGnyhUoqMkho48U2JiIhg9OjR5MmT50sXJV2ePHnC4MGD6du3L+bm5l+6OAAYGxvj6OhIzpw5v3RRhBAfKCYukUWbL+gEb6978SqegaEHSE5Wf8aSiQ8lAZz4pJKTkwkNDaVGjRqULVuWLl268Pz5c608O3fupFWrVjg5OWFnZ0f9+vVZunQpAImJibi5udG7d2+dbTdo0IABAwZopf36669UqVKFSpUqvXeZ7927R9euXSlfvjxVqlRhwYIFOnliY2OZNGkSdevWxc7OjnLlytGuXTv+/vtvAPbs2YNKpeKvv/7SWu/UqVOoVCqOHDkCwMyZMzlw4ADBwcHUrFnzvcscGBiIj48PQ4cOpUKFCjRr1ozExESePn3K8OHDqVmzJnZ2djg7OxMQEKA0XwcGBrJu3Tru3r2rNJum1oT6zz//0L17d6pUqYKjoyNeXl4cP378vcsrhPh8doTfemeeZ1Fx7D15l8QkaUrNLCSAE5/UhAkTmD59Op6enoSEhGBpacmkSZOU5Xv27CEgIIAyZcoQGhpKcHAwNjY2jBw5khMnTmBoaEjTpk3ZuXMnUVFRynqnT5/m+vXrNG/eXElbtWoV58+fZ/Dgwe9d3ujoaNq0acPFixcZMWIEQ4YMYdWqVZw8eVIrX79+/Vi9ejWdO3dm/vz5BAYGcvnyZXr16oVaraZq1ap89913bNiwQWu9devWUaBAASpWrAhAy5Yt2b59O3Xr1n3vMmscO3aMmzdvEhwcTEBAAAYGBvj6+nLgwAF69+7NvHnz6NKlCwcPHmTIkCEAdOnSherVq2NlZcXKlSupUaOGznavXr1K8+bNuX37Nr/++isTJ05ET08PHx8fJRAVQnydDp29R1xCUrrybjv0D/HpzCu+POkDJz6ZFy9esGTJEry9venWrRsAVatWJSIigv379wMpwUHTpk0ZNGiQsp6TkxMuLi4cPXqUcuXK4enpyZw5c9i+fTuenp5ASiBUsGBBKlSoAMDdu3cJCgoiKCjog5r+1q1bx71799iwYQMqlQoABwcH6tSpo+SJj4/n1atXDB48mIYNGwLg7OzMq1evGDt2LI8ePcLa2pqmTZuyZMkSXr16RdasWYmPj2fr1q34+PgoIz6LFSv23mV9U2JiIsOHD6dQoUJASnOyqakp/fv3V86Ti4sLd+7c4ffffwegYMGC5MyZU2k2hZQg9nUhISEYGRmxePFismXLBkCNGjXw8PBgwoQJrFq16qMdw7tERkYSGxv72fYnRGamVqu5eesOZvrROssS1QbEq7NopT19EYu+jEbPNCSAE5/MqVOnSEhIoFatWlrpDRo0UAK4jh07AilBw61bt7hx4wZnz54FICEhAYAiRYpQvnx5NmzYgKenJ/Hx8WzZskUJhNRqNQMHDqR69erUq1fvg8p87NgxChQooARvAHnz5lWCG0jpIzZv3jwAHj58yM2bN7l+/Tq7d+/WKrenpyezZ89mx44dSi3iixcvaNq06QeVMS0mJiZaAw++++47Fi9eDKQ0C9+8eZNr165x4sQJpYzpceTIEWrWrKkEbwCGhoY0atSI6dOnKwHqu4SFhREWFqaTHhERka5yREdHExwcjFot/XSEyIjSqXSvVavhdJQdiep/wwAzEyOS5f2VaUgAJz4ZTV+3N2vErKyslP8/ffqUoUOHsnPnTvT09ChUqBDly5cH0PqibtGiBQMHDuTevXucPn2aFy9e0KxZMwCWLVvGpUuX2LRpE4mJiVrrJiYmoq+vj75++noLPH/+PNUaPCsrKx4/fqy83r9/P2PGjOH69etkzZoVlUqlBDGafRcqVIiKFSuyfv16mjZtyvr163F1df1ko2Nz5cqlM5fbxo0bmTx5Mvfv38fCwoKSJUtiYmKSoe0+f/6c3Llz66Tnzp0btVpNVFRUugI4Dw8PPDw8dNL9/PzSVQ4zMzO6desmNXBCZMDLV3EMmX2IN+OyRLWBVvAGUNUxHwYG0rMqs5AATnwylpaWQMpIy6JFiyrpz549U/7fp08frl27xoIFCyhXrhzGxsbExMToNMvVr1+fUaNGsX37dk6ePEmlSpXIly8fANu3bycyMhI3NzedMpQpU4auXbsqTbjpKfPNmzd10l8v861btwgICKBWrVrMmjVLqfVatmyZUrOo4enpyYABA7hx4wYHDhwgKCgoXeX4GI4dO0b//v1p06YNHTp0UEbmjh8/PkMDEHLkyKEVvGo8evQI+Pc6fw6fc19CfAtyxCZQWlWEoxfeXtNtaKCHR5WiZDGSaUQyCwm1xSfj5OSEiYkJ27Zt00rXNDVCyiSy9erVw9XVFWNjYwD27dsHpIxg1TAzM6Nhw4aEhYWxf/9+pfYNYPjw4axevVrrr2bNmlhZWbF69Wp+/PHHdJfZ1dWVO3fuKM24kFJLeOrUKeX1uXPniIuLw9fXV6vJUhO8vV5zWK9ePczMzBgyZAgmJiYfZbBCep08eZLk5GS6d++uBG9JSUkcPHgQ+Pf8vqt2smLFiuzevZuXL18qaUlJSWzevBl7e3vlugkhvj5mJkb0+rkceXOlXUuur69H3zYVMDKUkCAzkRo48clkzZqVLl26MHXqVExNTXF1dWXv3r1aAZyDgwObNm2iTJky5MmTh5MnTzJr1iz09PSIiYnR2l6LFi346aefMDc31wqEXq/d07CwsMDY2Bh7e/sMlfn7779n8eLFdO3alV69emFubs6MGTO0gskyZcpgaGjIhAkTaN++PfHx8axdu5Y9e/YA2oMATE1NadSoEStXruTHH3/McPPlh3BwcABgxIgReHp68uLFC5YuXcrFixeVcpqbm5M9e3YeP37M3r17KVWqlM52unbtyr59+/D29qZz584YGxuzdOlSbt++zdy5cz/b8Qgh3k9WE0Om9KrOoi0X2HP8DjFxicoyu6K58G5YiiI2OTCRR2plKhJui0/K19eXgQMHsm3bNvz9/bl06RL9+/dXlo8dO5ayZcsycuRIAgIC2LlzJ8OHD8fNzY1jx45pbcvR0RFLS0saNWr0yQIhY2NjFi1aRMWKFRk9ejQDBw6kUqVKWnO0FSpUiEmTJhEREYG/v78yJceSJUvQ09PTKbdm3denPPkcXFxcGDJkCCdPnqRTp04EBQWRL18+QkJCAJRm1ObNm2NjY0NAQADr16/X2U6JEiVYvnw5uXPnZuDAgfTt2xe1Ws3ixYupXLny5zwkIcR70NfXJ6upEe08yrB4WD0m9ajG2AA3Fg6py5AOLqgK5ZTgLRPSU8uQLpFJnDlzhh9++IE1a9ZgZ2f3pYuTbsOGDeP48eNs2rTpSxflq+Tn58fMmTO/dDGEEGmQ9+jXSUJu8dULDw8nPDxcGcX5PsGbZnTq2+jp6WFg8PE68C5evJjr16+zcuXK9xq8oFarSUp696SaBgYGOqNPhRBCfNskgBNfvcjISBYsWEDx4sXfexRnmTJl3pnH2dmZJUuWvNf2U3Ps2DH279+Pl5fXe839tm7dOp1HhaUmKCjoszfPCiGE+LIkgBNfvfr161O/fv0P2sbq1avfmSc9c5llxG+//fZB69esWTNd5c6fP/8H7UcIIUTmIwGc+E/I6GjUr4GlpaXMeyaEECJVMgpVCCGEECKTkQBOCCGEECKTkQBOCCGEECKTkQBOCCGEECKTkQAuE8iMcy1nxjILIcTHplariY5NIDEpmaSkZKJjE7UezSfE+/pmArjAwEDc3d3TXO7l5YWXl9dnLNHHsWrVKsaNG/fF9v+u85qaq1ev8vPPP2ulqVQqgoODP2bRPqq1a9eiUqm4c+dOmnm+9nvofa5Vau7cuYNKpWLt2rVvzefu7k5gYOAH70+Ib1VcfBInLz1izMKjtPx1Cz8O3MzgWQc5cPo+8QnvnqRbiLeRaUS+cjNmzMDZ2fmL7b9Lly54e3tnaJ2tW7dy8uRJrbSVK1eSJ0+ej1k08YlYW1uzcuVKChYs+KWLIkSmFRufSNDCo5y49FAr/fKtSMYvPUYxmxyM9q9CVlOjL1RCkdl9MzVw4tMoWLAgpUuX/uDtODo6SgCXSRgbG+Po6EjOnDm/dFGEyJSiYxMIXX1aJ3h73bW7zxk+9zBx8e9+zJ8QqfnPBnBJSUnMnj0bDw8PHBwccHR0pGXLlhw6dEgr3+XLl/H19aVcuXKUK1eOgIAAbt++rSwPDw9HpVJx6NAhvLy8cHBwoEaNGqxatYqHDx/StWtXnJycqF69OgsXLtTa9sWLF+natSuurq6UKVOGqlWrMmrUKGJjY4GUJqq7d++ybt06rea9f/75h+7du1OlShUcHR3x8vLi+PHjynY1TWCbN2/Gz8+PsmXLUr16dYKDg7X6XiQlJbFs2TIaN26slHvixInExcUpeVJrllu1ahWNGjXCzs6OGjVqEBwcrDxrNDg4mJCQEEC72fTNJtQnT54wcOBAKleujJOTE61bt9Y6htQcPXqUDh06ULFiRezs7HB3d9c6Js1xb926le7du+Pk5ETFihUZNGgQr169UraTnJxMaGgoNWrUoGzZsnTp0oXnz5+/dd/vkpiYiJubG71799ZZ1qBBA+WRWO7u7oSEhBAUFISLiwtOTk707t2bV69eMXv2bKpVq0b58uXp1q0bkZGRyjbc3d2ZMmUKQUFBODs74+zsTN++fbXyaKxdu5Z69ephb29PkyZN2Ldvn9by9N4/rzehXrx4kXbt2uHk5ETNmjXZuHHjB50vIb5lCYnJ7D2RdncMjb//ecrdR6/emU+I1HxzAVxiYmKqf292qp84cSLTp0/np59+Yu7cuYwYMYLIyEh69OhBdHQ0ADdu3KBly5Y8efKEsWPHMnr0aG7fvs3PP//MkydPtLb3yy+/4O7uzsyZMylcuDBDhw7F29sbW1tbfvvtN8qUKUNQUBBnzpwB4OHDh7Ru3ZqYmBjGjh3LnDlzaNCgAUuWLFECvZCQEKysrKhevTorV67E2tqaq1ev0rx5c27fvs2vv/7KxIkT0dPTw8fHhyNHjmiVadiwYZibmxMcHEzTpk0JDQ1l/PjxyvIhQ4YwZswY3N3dmTFjBq1bt2bp0qV06dIlzUEIs2bNYvDgwVSqVImZM2fSunVr5syZw5AhQwD44YcfaNGiBZDSbPrDDz/obCM6OpqWLVty8OBBevfuTUhICFmzZqVjx45cu3Yt1f1evHiRtm3bYmFhwZQpU5gxYwblypUjJCSEzZs3a+UdOnQoNjY2hIaG0rFjR9asWcPMmTOV5RMmTGD69Ol4enoSEhKCpaUlkyZNSnW/6WVoaEjTpk3ZuXMnUVFRSvrp06e5fv261rNKFyxYwL1795gyZQp+fn6EhYXh6enJgQMHGDlyJN26dePPP//UeRTX8uXLOX78OGPGjKFPnz7s27ePjh07agXl9+/fZ/bs2fTo0YPffvsNtVpNt27dlPs1I/ePRkREBG3atOH58+dMmDCBHj16MHHiRCIiIj7onAnxLUpMTGbLwRskp3Mc14Z914iOTfi0hRLfpG+qD9zdu3ff+tDy1/uSPXz4kF69eml1SjcxMaFbt25cunQJJycnQkJCMDExYeHChZibmwNQqVIlateuzdy5c+nfv7+yrqenJ+3atQPAzMyMn376CQcHB7p37w6AnZ0df/75JydOnMDBwYHLly9TqlQppk2bpmy7cuXKHDp0iKNHj+Ln50fp0qUxNjYmZ86cODo6AilBnZGREYsXLyZbtmwA1KhRAw8PDyZMmMCqVauUMpUuXZqJEycCUK1aNaKjo5UA7eHDh6xevZqePXvi7+8PQJUqVbC2tqZfv37s27eP6tWra52/ly9fMmPGDH766Sd+/fVXANzc3LCwsODXX3+lXbt2lChRQmkq1ZT5TevWreP27dusX7+ekiVLAlChQgWaNm3K0aNHKVasmM46Fy9epHLlykyYMAF9fX2lvHv27OHo0aM0btxYyVu9enXl2lSqVIkDBw6wZ88eevfuzYsXL1iyZAne3t5069YNgKpVqxIREcH+/ftTLW96eXp6MmfOHLZv346np6dyrAULFqRChQpKvqxZszJlyhQMDQ2pXLky69at4+HDh6xatYps2bJRvXp1Dh8+zIkTJ7S2r6enx4IFC5TrnjNnTgICAti3bx81atQAUmoXp0+frpzDLFmy0K5dO06dOkWtWrUydP9oLFy4kMTERObMmUOuXLkAKFKkCD/++OMHna/3ERkZqdRQC/E1io1P5O7de5jpR+ssS1QbEK/OopX28Gk0yTJqX7yHbyqAs7KyYsaMGakuGzp0qNZrTY3L06dPuXnzJjdu3GDXrl0AJCSk/Bo6fPgwLi4umJiYKE2E5ubmVKhQgYMHD2ptz8nJSfl/7ty5AShbtqySpnmm5cuXL4GUwMfNzY2EhARu3LjBP//8w6VLl3j69CkWFhZpHuORI0eoWbOm8uULKbU/jRo1Yvr06VpNhU2aNNFat169eixevJhTp04pzbGvBz4AjRo1YsCAAYSHh+sEcCdPniQmJgZ3d3flfABKE+uBAwcoUaJEmmXXOHbsGPnz51eCN0gJNLZu3ZrmOk2bNqVp06bExcVx69Ytbt68yfnz50lKSlKul8abgWOePHm4e/cuAKdOnSIhIYFatWpp5WnQoMEHB3BFihShfPnybNiwAU9PT+Lj49myZQs+Pj7o6ekp+RwcHDA0/PetZ2Vlhbm5udY1tbCw4PLly1rbf/O6u7u7Y2RkxLFjx5QAztLSUisALlCgAPDvfZeR+0fj+PHjODo6KsEbpNzb+fLly9D5CQsLIywsTCc9vTV50dHRBAcHyxQ1IlMoba6bplbD6Sg7EtX/vv+NjQwAPd3MQrzDNxXAGRsbp/nQ8qxZs2q9Pnv2LMOHD+fs2bOYmJhQvHhxbGxsgH/nMHv27Blbtmxhy5YtOtt7s4O3phbtdaampmmWNTk5mcmTJ7Ns2TKio6PJmzcvDg4OZMmSJc11AJ4/f64EiK/LnTs3arVaq/nO2to61TK/ePFC6fNlZWWllcfQ0BBLS0vlC/91z549A6Bz586plu3hw7Q77L65ndeDgfSIjY1l5MiRbNiwgcTERPLnz4+TkxOGhoY6X+hvnnd9fX0lj+a437x+b56H99WiRQsGDhzIvXv3OH36NC9evKBZs2ZaeTJ6r2i8eT319fWxsLDgxYsXSpqZmZlWHk3gqGlmzcj9o/H8+XPy58+vk57Rc+bh4YGHh4dOup+fX7rWNzMzo1u3blIDJ756V24/Y/qqUzrpiWoDreANoIpDXkyMDT5TycS35JsK4NIrKiqKjh07olKpCAsLo1ixYujr67N37162b9+u5MuWLRuVK1dWmkZf93oNyvuYPXs2CxcuZNiwYdSrV0+pEdH0H0tLjhw5ePz4sU76o0ePgJQaGE0gpQm4NDT9oHLlyqV86T969EjryzkhIYHIyEilxvB12bNnB1L6DxYuXFhneWqBQWqyZcuW6nxrJ0+exNzcPNVavNGjR7N9+3amTp1K5cqVlUClUqVK6dqnhua4njx5QtGiRZX0N8/V+6pfvz6jRo1i+/btnDx5kkqVKmW4piotb5YxKSmJyMjIDI0Wzcj9o2FpaZnqOh/rnGVEavelEF+bnLmtWbzjDhFPdZtRX2eaxZBq5fJjaPDNdUcXn8F/8q65fv06z549w9vbmxIlSih9qjSj9TS1Fc7Ozly9epVSpUphb2+Pvb09dnZ2LFy4kB07dnxQGY4fP07x4sVp0aKFErxFRERw+fJlrU7pmrJpVKxYkd27d2vVkCUlJbF582bs7e0xNjZW0jVNwhrbt2/H1NSUsmXLKv0BN23apJVn8+bNJCUlUb58eZ0yly1bFiMjIyIiIpTzYW9vj5GREZMmTVKCsjfL/KYKFSpw+/ZtLl26pKTFx8fTrVs3/vjjj1TXOX78OC4uLtSuXVsJ3s6dO8fTp08zNKu5k5MTJiYmbNu2TSt99+7d6d7G25iZmdGwYUPCwsLYv3+/Tu3bh9i/fz/x8fHK6z///JPExMQMBbEZuX80XF1dOXnypFZT59WrV7VGYwsh/qWvBwPbOpPlLTVr+vp69G1TXhpPxXv7T9bAFSlSBHNzc2bOnImhoSGGhoZs376d1atXAxATEwOkTGLbsmVLfH19+fnnn8mSJQsrV65k586dOiMEM8rBwYHQ0FBmz56No6MjN2/eZNasWcTHxyv7h5RarwsXLnDkyBEcHBzo2rUr+/btw9vbm86dO2NsbMzSpUu5ffs2c+fO1drHtm3byJ07N9WrV+fIkSMsW7aMXr16YWZmRvHixWnWrBkhISHExsbi4uLC33//TUhICC4uLlStWlWnzJaWlnTs2JFp06YRFRWFi4sLERERTJs2DT09PaVPm6amLiwsjLJlyyr9sDSaN2/OkiVL8Pf3p0ePHuTMmZNly5YRGxub5pMOHBwc2Lp1KytWrKBYsWJcvHiRGTNmoKenp3W+3iVr1qx06dKFqVOnYmpqiqurK3v37k13APfgwQOd6WAAihcvjpubG5BSi/rTTz9hbm5O3bp101229Ozb398fb29v7t+/z+TJk3Fzc8PFxSXd28jI/aPh4+PD6tWr6dChA926dSMpKYmpU6diZCQTkAqRGiNDA2yszJncsxozVp/h3HXtWQuK2eSgY1M7ittYkMX4P/k1LD6C/+Sdky1bNmVKjR49epA1a1ZKlSrF0qVL6dSpE8eOHcPd3Z2SJUuybNkypkyZQr9+/VCr1dja2jJ9+nSdTvAZ5evrS2RkJIsXL2b69OnkzZuX77//Hj09PWbNmsXz58/JkSMH7du3Z8yYMXTo0IEFCxZQoUIFli9fzuTJkxk4cCB6eno4ODiwePFirZGOAD169ODIkSOsXLmSvHnzMmTIEK1HXI0ePZpChQqxZs0a5s2bh7W1NV5eXgQEBKRZi9azZ0+srKxYvnw5c+fOJUeOHFSqVIlffvlFqUmsW7cuGzZsIDAwkBYtWjBs2DCtbZibm7N06VLGjx/P6NGjSUxMpGzZsixZsiTN2f8DAwNJSEhg6tSpxMfHkz9/fvz9/bl69Sq7du0iKSn9j6Xx9fXFzMyMRYsWsWjRIpycnOjfv79OOVNz69YtgoKCdNKbNWumBHCOjo5YWlpSt25dTExM0l2ud2nUqBHZs2enZ8+emJmZ0axZM3r16pWhbZQoUSLd94+GpaUlK1asYPTo0QQGBipTvqTWN1QIkSKLsQH5rbIxpIMrL2PiufjPU5KT1RTLb4GVhSlGRvoYvKO1Qoi30VPLkK5vzp07d6hVqxZBQUFa84+Jz+PMmTP88MMPrFmzBjs7u4+yTXd3d5ydnRk7duxH2d7XxM/PT2uePiHE10Xeo1+n/2QNnBCfQnh4OOHh4axfvx5XV9ePFrwJIYQQb5L6WyE+ksjISBYsWECuXLlSbWYVQgghPhapgfsG5c+fX2uEp/g86tevT/369T/Jtt8cUSyEEOK/TWrghBBCCCEyGQnghBBCCCEyGQnghBBCCCEyGQnghBBCCCEyGQnghBBCCCEyGRmFKkQmolar0dPL2NMT32edb1l0bAIAenp6JCeryWoqjwQTQmQ+UgMnvjgvL69Un4H66tUrWrVqhZ2dnfLw+cDAQFQqldZfyZIlcXJy4vvvv2fx4sVp7mfatGmoVCqGDh2aZp7IyEiCgoKoXbs2dnZ2ODs74+Pjw/bt2z/8QD/AgwcP8PX15e7duxla7+rVq1qPTwNQqVQEBwd/zOJlCrHxidx68IJZ687Sa8peekzaw28rT3Lp5lPi4tP/KDYhhPgaSA2c+Cq9evWKzp07c+bMGaZNm6b17FkrKytCQkKU12q1msePH/P7778zevRojI2Nadmypdb2kpOTWb9+Pba2tmzatIl+/fqRNWtWrTyxsbG0bt2axMREOnXqROHChXn58iVbt26le/fuDBgwgLZt237S407LwYMH2bNnD4MHD87Qelu3buXkyZNaaStXriRPnjwfs3hfvbj4RGauPcOfR29rpd9/8oqDZ+/jpLJiYFtnTOTB4kKITEI+rcRXJzo6ms6dO3P27FlCQ0OpVq2a1nJjY2McHR111qtRowZ16tRh9erVOgHcwYMHuXfvHsuWLcPb25tNmzbp5Nm2bRvXrl1j27ZtFClSREmvXbs2sbGxBAcH4+XlhYGBwcc72C8gtXP3LYuJS2Tp1r91grfXnbz0iAlLj9O3dXlMssjHohDi6ydNqOKrogneLly4wKxZs3SCt7cxMjLCxMQk1WVr1qyhaNGiVKhQgUqVKvH777/r5Hn8+DGQUqP3Jl9fX7p06UJ8fHya+3d3dyckJISgoCBcXFxwcnKid+/evHr1itmzZ1OtWjXKly9Pt27diIyM1FovMDBQa1tr165FpVJx584d1q5dy4ABAwCoVauWkjc2NpZJkyZRt25d7OzsKFeuHO3atePvv/8GIDg4WKmpfL3Z9M0m1IcPHzJgwACqV6+Og4MDLVq04M8//9Qqj0qlYtmyZQwaNAhnZ2ecnJzo3r27cs6+ZsnJarYcvPHOfEfOP+DJi9jPUCIhhPhwEsCJr8brNW9z5syhUqVKaeZNTExU/uLj47l37x7jx4/nxo0bNG3aVCvv8+fP2blzJ82aNQOgefPm/P3335w+fVorX9WqVTE0NMTHx4eQkBBOnTpFQkJKh3cHBwc6dOiAqanpW49hwYIF3Lt3jylTpuDn50dYWBienp4cOHCAkSNH0q1bN/78809+++23dJ+XGjVq4O/vD0BISAhdunQBoF+/fqxevZrOnTszf/58AgMDuXz5Mr169UKtVvPDDz/QokULIKXZ9IcfftDZ9uPHj2nRogVHjhyhV69eBAcHY2NjQ0BAABs3btTKO2XKFJKTk5k8eTL9+vVjz549jBkzJt3H8SUkJiWz/fBNEpN0g/LUrN9zlZi4xE9cKiGE+HDSViC+Cprg7dixY0BKH7i03L17lzJlyuikFy5cmKFDh+p02t+0aRNJSUl8//33ANSpU4ccOXLw+++/U7ZsWSWfSqViypQpDB8+nODgYIKDgzExMaFChQp4enrSsGHDdx5H1qxZmTJlCoaGhlSuXJl169bx8OFDVq1aRbZs2ahevTqHDx/mxIkT6TovADlz5qRgwYIAlCpVivz58xMfH8+rV68YPHiwUi5nZ2devXrF2LFjefToEXny5FH6uqXVbLpgwQKePn3K1q1bKVCgAADVq1enbdu2jB8/Hg8PD/T1U37n2draEhQUpKx75swZZXDJ5xIZGUlsbPpryWLjE7lx8zZm+tE6yxLVBsSrs2il3XkURVJy+oI9IYT4kiSAE1+Fc+fOYWFhwdKlSxk0aBCBgYFs2LABa2trnbxWVlbMmDEDSPlCnzVrFrdu3WLMmDGUL19eJ/+aNWuoWLEipqamvHjxAkjp17Z582YGDBhA9uzZlbx169alZs2aHD58mIMHDxIeHs7Bgwf566+/2LZtG9OmTXvrlBwODg4YGv77trKyssLc3Jxs2bIpaRYWFly+fDnjJ+k1xsbGzJs3D0hpAr158ybXr19n9+7dAErN4bscOXIEJycnJXjTaNKkCQMGDOD69esUL14c0A0C8+TJQ0xMTLrLHBYWRlhYmE56REREutaPjo4mODg41SbudyltrpumVsPpKDsS1f9eLyMDfWTCFSFEZiABnPgq5MiRg0WLFlGyZEkmTJjAzz//TL9+/Zg/f75SA6RhbGyMvb298rpixYr8+OOPdO7cmVWrVlG0aFFl2cWLF7lw4YKS703r1q3Dx8dHK83IyIiqVatStWpVICVAGjVqFNu3b2fPnj3UrFkzzeMwN9eNFN7V7Pq+9u/fz5gxY7h+/TpZs2ZFpVIpI2vTG+Q8f/6c/Pnz66Tnzp0bQAl4Qfc49PX1MxRMeXh44OHhoZPu5+eXrvXNzMzo1q1bhmrgkpPV/P3PE+asP6ezLFFtoBW8AZQvaY2xkfQsEUJ8/eSTSnwVNPO5QUotlr+/P4cOHWLWrFnvXNfU1JQxY8YQHR3NwIEDtYKK1atXY2pqysKFC1m8eLHWX7FixVi5cqWSt2XLlspggddZW1szatQoIGVetU8hKUl7HrLoaN0mv9fdunWLgIAASpYsyY4dOzhx4gQrVqx4a3CZmhw5cqQ6EOHRo0cAWFpaZmh7n5qlpSV58+ZN95+NTT6qOZfGOKsl0clmWn9vNp8aGepTx6UQRoaZe5SxEOK/QQI48VXy9/enbNmyhISEpKu/mL29PT/++CMnT55k3bp1AMTHx7Np0ybc3d2pVKkSLi4uWn/Nmzfn2rVrHDlyBAAbGxu2bdvG7du6003cuJEyitHW1vYjHmUKc3NzHjx4oJX25jG/WQt57tw54uLi8PX1VfrHQUqtHPxbA/fmem+qWLEiJ0+e1DnmjRs3YmVlRaFChTJ2MF+p3q3Ko6//9sZR/+YO6MsTK4QQmYQEcOKrZGBgwIQJEzA2NqZPnz48f/78nev07NmTHDlyMGnSJF6+fMnOnTt59uwZjRo1SjV/kyZNMDAwUKYU6dWrF1mzZqVFixZMnz6dgwcPcvjwYebMmYOfnx/VqlXL0LQm6VWzZk2OHj3KzJkzOXz4MGPHjuXQoUNaeTT99Hbs2MG1a9coU6YMhoaGTJgwgQMHDrB79266devGnj17gH9r8DTrhYWFpRqYtmvXDgsLC9q1a8f69evZu3cvvXr14vDhw/Tq1eudAWBmYGxkQMnCloz2q0y+3Fl1lufKYUI/rwpUdbSROeCEEJlG5v90Ft+sQoUKERgYyN27d/n111/fmd/S0pIePXrw+PFjfvvtN9auXUuOHDmUvmxvsra2pnLlyvzvf//jyZMn5M+fn3Xr1tG4cWM2bdpEly5d8PX1ZdOmTXTo0IHp06d/kmeK+vr68sMPPzB//nz8/f2JiIhg9OjRWnlcXFyoXLkykyZNYty4cRQqVIhJkyYRERGBv78/Q4YMAWDJkiXo6ekpo3nr1q2Lvb09gYGByqCH11lZWbFixQrs7OwYPXo0PXr04P79+4SGhuLp6fnRj/VLMTE2RFXIkt9612RC96q0qV+Sn+uqGOlbidkDauNSJo8Eb0KITEVP/T5DuoQQ4iPx8/Nj5syZn3Wfmo+9TxGQC/Gt+RLvUfFu8pNTCPGfI4GbECKzkyZUIYQQQohMRgI4IYQQQohMRgI4IYQQQohMRgI4IYQQQohMRgI4IYQQQohMRgI4IYQQQohMRgI4IYQQQohMRuaB+49Sq9UyF9Z/gFxnXdGxCST//0S+JsaGGBrI71ghROYjn1xf2NmzZ+nbty81atTAwcGBWrVq8euvv6b63MqPIT4+nqCgIDZt2vRRtufl5YWXl1eay8PDw1GpVHTp0iXV5WvXrkWlUnHnzp2PUp6vXWRkJEFBQdSuXRs7OzucnZ3x8fFh+/btH31ff/75J/379//o282s4uKTuHQrktA1Zxg5L5zxS47x59FbxMYnEhef+KWLJ4QQGSI1cF/QsmXLGDNmDC4uLvTu3Rtra2tu3brF3Llz+d///seCBQsoU6bMR93nw4cPWbhwIUFBQR91u+/y559/snHjRpo0afJZ9/s1iY2NpXXr1iQmJtKpUycKFy7My5cv2bp1K927d2fAgAG0bdv2o+1v4cKFH21bmZlareZVTAJDZh/iyu1nWstOXnrEvI3n6edVAbtiuTAxlo9EIUTmIJ9WX8jx48cZPXo0rVu3ZtCgQUq6i4sLtWrVonnz5gwYMICNGzd+wVJ+PNmzZ2f06NFUrlyZ3Llzf+nifBHbtm3j2rVrbNu2jSJFiijptWvXJjY2luDgYLy8vDAwMPiCpfz2xCcmEzj9L24+eJnq8pi4REbNDycowA1VQQv09aVhQgjx9ZNPqi9k3rx5ZMuWjV9++UVnWc6cOQkMDKRu3bpERUUp6Tt37qR58+bY29tTpUoVRo0aRXR0tLI8ODiYOnXqsGfPHho3boydnR316tVj3bp1ANy5c4datWoBMGDAANzd3QEIDAzEx8eHoUOHUqFCBZo1a0ZiYiJPnz5l+PDh1KxZU2nuCwgIeK/mzl69ehEdHc3QoUPfmffevXv88ssvODs7U7ZsWXx8fLhw4YKy/M6dO6hUKhYsWECDBg1wdnZm5syZqFQqdu7cqbWta9euoVKp2Lp1KwAvX75UmjDt7e3x8PBg9erVWuu4u7sTGBiolfZmU29cXBzDhw+nWrVq2NnZUb9+febPn//W43r8+DHw74PUX+fr60uXLl2Ij4/nypUrqFQqVq5cqZUnIiKCUqVKKddzy5YtNGnSBAcHB1xdXenTpw8PHz4EUpq2jxw5wpEjR1CpVISHhwPw7NkzhgwZQuXKlbG3t+fHH3/k0KFDWvtRqVSsWLGCwMBAypcvj7OzM6NGjSI2NpZx48bh6uqKi4sLgwYNIi4u7q3H/KUlJSVz4PTdNIM3JV+ymrkbzhGXkPyZSiaEEB9GArgvQK1W89dff1GpUiVMTU1TzVO/fn26du2Kubk5AJs2bSIgIICiRYsyffp0unbtysaNG+nSpYtWQPDo0SNGjBiBt7c3s2fPJn/+/AQGBnLt2jWsra0JCQkBwN/fX/k/wLFjx7h58ybBwcEEBARgYGCAr68vBw4coHfv3sybN48uXbpw8OBBhgwZkuFjLlasGN26dWPnzp2EhYWlme/p06e0bNmS8+fPM3jwYCZNmkRycjKtW7fm2rVrWnmnTJlChw4dGDVqFE2aNKFQoUJs2bJFK8+mTZvIli0b7u7uxMbG0qpVKzZu3Ej79u0JDQ2lfPnyDBo0iJkzZ2boeEaPHs3evXvp378/8+bNo1atWowbN461a9emuU7VqlUxNDTEx8eHkJAQTp06RUJCAgAODg506NABU1NTSpQoQdmyZdmwYYPW+hs2bMDExIR69epx/Phx+vTpQ926dZkzZw4DBgzg8OHD9O7dG4ChQ4dSunRpSpcuzcqVKylTpgxxcXH4+Pjw559/0qtXL0JCQsiTJw8dO3bUCeImTpyIsbExISEhfP/99yxZsoSmTZty//59JkyYQMuWLVm9ejVLlizJ0Hn73OITk9mw73q68l6+Fcmzl7GfuERCCPFxSBPqFxAZGUlcXBz58+dPV361Ws3EiROpWrUqEydOVNILFy5M27Zt2bt3LzVq1AAgJiaG0aNHU6lSJSVPzZo12bt3L+3bt6dUqVIAFCxYkNKlSyvbSkxMZPjw4RQqVAhIqe0xNTWlf//+VKhQAUhp3r1z5w6///77ex13hw4d2LFjByNHjsTV1TXVptRFixbx7NkzVqxYgY2NDQDVqlWjYcOGTJs2jd9++03JW7duXVq0aKG8btKkCfPmzSMmJkYJjDdv3kz9+vXJkiULy5cv5/Llyyxfvpzy5csDKUFVYmIioaGhtGzZEgsLi3Qdy5EjR6hcuTKNGjVSzo2ZmRmWlpZprqNSqZgyZQrDhw8nODiY4OBgTExMqFChAp6enjRs2FDJ6+npyZAhQ7h9+zYFChQAYP369TRo0AAzMzOOHz9OlixZ6NSpE1myZAHAwsKCs2fPolarKV68uBL8Ozo6AvDHH39w8eJF/vjjD8qWLaucWy8vLyZOnMiaNWuU/RcrVowRI0YAULFiRVavXk1CQgITJ07E0NCQqlWrsmvXLk6cOJGu8/WxREZGEhub/iArOVlNRMQDzPR1az0T1QbEq7NopV2/+5y8uc0/uJxCCPGpSQD3BWj62CQlJaUr//Xr13nw4AG+vr4kJv47Wq5ixYqYm5tz4MABJYCDf7+wAfLkyQOg1dSaGhMTEwoWLKi8/u6771i8eDGQ0qR58+ZNrl27xokTJ5Rao4wyMDAgKCiIZs2aMWzYMK0aQI1Dhw5RqlQpvvvuO+VY9fX1qVatmk5/QFtbW63X33//PcHBwezevZuGDRty5swZbt26xZgxY4CUoMvGxkYJ3jSaNGnC6tWrOX36NNWrV0/Xsbi4uPD7778TERFBzZo1qV69OgEBAe9cr27dutSsWZPDhw9z8OBBwsPDOXjwIH/99Rfbtm1j2rRp6Onp0ahRI4KCgtiwYQNdu3blzJkzXLt2TSuomjJlCo0bN6ZBgwZUq1YNNze3t5b/0KFDWFlZUaZMGa37qGbNmowfP57nz5+TI0cOAJycnJTlhoaGWFpaYmdnh6Hhvx8ZFhYWvHz59qbJ14WFhaVa+xoREZGu9aOjowkODk61CfptSpmlnq5Ww+koOxLV/x6Tvr5MuSKEyBwkgPsCLCwsyJo1K/fu3UszT3R0NPHx8VhYWPDs2TMAhg8fzvDhw3Xyavo9abzeLKsJFt/1pZcrVy6d+cI2btzI5MmTuX//PhYWFpQsWRITE5O3buddihcvTteuXZk8eTKbN2/WWf7s2TNu3ryZ5ujbmJgY5f9v1uAVKFCAcuXKsXnzZho2bMimTZuwsbFRahCfP3+eaq2fJu3FixfpPo5BgwaRJ08eNm7cqFwTJycnhgwZolWzmRojIyOqVq1K1apVgZTrN2rUKLZv386ePXuoWbMm5ubm1K9fn40bN9K1a1fWrVtHoUKFlGNxcnJi9uzZLFy4kHnz5jFz5kysrKzo1KkTPj4+qe732bNnPHr0KM1z++jRIyWA09TevS6t5v708vDwwMPDQyfdz88vXeubmZnRrVu3DNXAxcYlMmfDWa7dea6zLFFtoBW86emBqlDOdG9bCCG+JAngvhA3NzfCw8OJi4tTmsBet3btWkaPHs3y5cvJnj07AP369cPZ2Vknr+ZL92M6duwY/fv3p02bNnTo0EGpyRs/fjzHjx//oG137NiR//3vf4wcOZIOHTpoLcuWLRvOzs7069cv1XWNjY3fuu3vv/+e0aNHK9NzeHp6KoFpjhw5uHnzps46jx49AtBq/nyzdvTNGkxjY2P8/f3x9/fn3r177N69m9DQUHr37q0MmHhTy5YtKVKkiM4ULtbW1koAd/XqVWrWrAmkNKOuW7eOM2fOsH37dp359jRBYExMDIcPH2bx4sWMGTMGR0dHpYn0ddmyZaNw4cJazfCvS2+T/pf0tibq1CQnq2la24iR88PfmdexhBUmxjICWAiROcgghi+kffv2PHv2jClTpugse/LkCXPnzqVQoUI4OjpStGhRcuXKxZ07d7C3t1f+8uTJw6RJk7RGaL5LeqeoOHnyJMnJyXTv3l0J3pKSkjh48CAAycnvP1rPwMCAsWPHEhUVxaxZs7SWOTs7c+PGDYoUKaJ1rBs3bmTVqlXvLH+DBg0AmDZtGo8ePdKad65ixYrcvXtXJwDduHEjRkZGODg4ACm1Tw8ePNDK83pfr9jYWOrVq6eMOs2XLx+tW7emUaNGOuu9zsbGhm3btqU6SfONGzcA7WbhihUrUrhwYSZMmEBkZCRNmzZVlo0bN44WLVqgVqsxNTWlZs2ayqS99+/fB9CZDsPZ2Zn79++TK1curXN76NAh5s6d+01OX6Kvr0fZElaULWH11nymWQzx83TAzMToM5VMCCE+jNTAfSGOjo706NGDqVOncu3aNZo1a4alpSVXrlxh/vz5vHr1itmzZ6Onp4eBgQG9evViyJAhGBgYULNmTV68eEFoaCgREREZmuw3W7ZsQEp/qGLFiqVaUwMowcyIESPw9PTkxYsXLF26lIsXLwIpNVKpNbOlV4kSJQgICGDq1Kla6W3btmXDhg20bduW9u3bY2lpyZYtW/jjjz8YMGDAO7ebI0cOatasyfLly7G3t6dYsWLKsubNm7N8+XK6du1K9+7dKVCgALt27WLNmjV07dpVqemsWbMms2bNYubMmTg6OrJnzx6tUZomJiaUKVOGkJAQjIyMUKlU3Lhxg3Xr1lGvXr00y9arVy/Cw8Np0aIF3t7eODk5oa+vz9mzZ5k/fz7VqlWjWrVqWut4enoyadIkqlSpQt68eZX0SpUqsWDBAgIDA2nSpAkJCQnMnTsXCwsLXF1dgZS5906ePMmhQ4coXbo0zZs3Z+nSpbRr1w4/Pz/y5s3LwYMHmTNnDm3atMHI6NsMXrIYG/Bre2dCVp1m/8k7JL/RmyBf7qwMaudM7hwf1kQshBCfkwRwX5C/vz+lS5dm2bJlBAUF8ezZM/LkyUO1atXw8/MjX758St4ffviBrFmzMnfuXFauXImZmRnlypVj4sSJyijF9DA3N6ddu3asXLmSPXv2cODAgVTzubi4MGTIEBYsWMC2bdvInTs3Li4uhISEEBAQwPHjx9Pd4T8tnTp1YseOHZw/f15J++677/j999+ZNGkSw4YNIy4ujsKFCzN69GitEadv06RJE7Zv367z1AdTU1OWLFnCpEmT+O2334iKiqJo0aI62/b19eXp06fMnz+fhIQEatSowejRo/H391fyjBgxgqlTpzJ//nwePXpErly5aNGiBT169EizXPnz52fdunXMmjWLTZs2MWfOHNRqNYUKFaJDhw54e3vr9EOsUaMGkyZNonnz5lrp1apVY+LEicyfP5+uXbuip6dH+fLlWbx4sTKStnXr1pw7d45OnToRFBRE48aNWbZsGZMmTWLChAm8fPkSGxsbevfuTfv27dN1bjMrE2NDung60Ol7O7Ye+oeIp9FkMTKgRrn8FMmXAwMDPXkmqhAiU9FTZ3RIlxDis5kzZw5z585l//797+z/l1n5+flleB6+D5GYlExCYjL6enpkkT5vQrzT536PivSRGjghvkLr1q1T5qzr3LnzNxu8fQmGBvpS2yaEyPQkgBPiK3Tx4kV+//13ateuTadOnb50cYQQQnxlJIAT4is0YMCAdA3aEEII8d8k7QhCCCGEEJmMBHBCCCGEEJmMBHBCCCGEEJmMBHBCCCGEEJmMBHBCCCGEEJmMjEIVIhNRq9U6T2v4lOt9S+LiE0lKVqOvp4dJFvnoE0JkblIDJz4JLy8vvLy8dNJfvXpFq1atsLOzY9u2bQAEBgaiUqmoVq0aaT0YZOLEiahUKmWbmnXe9ufu7q6sHx4eTps2bahYsSJVqlSha9eu3Lx5U2v5m+vb2dlRtWpVevfuzbVr1z7m6cmwFy9e0L9/f44dO5ah9R48eICvry93795V0tzd3QkMDPzYRfwqqdVqYuMSuRXxkoWbLxC86hTzNp7j0q3I/w/okr90EYUQ4r3Iz1Dx2bx69YrOnTtz5swZpk2bRq1atZRl+vr6REREcPz4cSpUqKCz7tatW7Ved+nShZYtWyqvQ0NDuXDhAiEhIUqa5ukFJ0+epH379ri7uzNx4kRiYmKYMWMGrVq1YtOmTeTMmVNZZ8iQIZQpUwaA2NhYbt++zZw5c2jRogWLFi3CwcHh45yMDPr7779Zv369zjNR3+XgwYPs2bOHwYMHK2khISGYm5t/7CJ+dZKT1byKTWDU/HAu3HiqtWzb4ZsU/C4bQzu6Ypk9C0aG8kgtIUTmIgGc+Cyio6Pp3LkzZ8+eJTQ0lGrVqmktz5s3L2q1mm3btukEcKdOneLBgwfY2toqaQULFqRgwYLK65w5c2JsbIyjo6POvmfNmkXRokWZNm0a+voplc7lypWjRo0arFu3jg4dOih5ixcvrrUNV1dX6tatS7Nmzejfvz9hYWEYGGTuL/vSpUt/6SJ8FnEJSfT9bT93H0WluvxWxEt6T9tHcJ+aWGTL3NdUCPHfI02o4pPTBG8XLlxg1qxZOsGbRv369dm+fTvJbzRrbdmyhcqVK2NhYfFe+3dwcMDHx0cJ3gCsra0xNzfn1q1b71w/R44cdOzYkevXr3PkyJE083l5eTFkyBBmzJhB1apVKVu2LJ06deLx48esWbOGOnXq4OTkRNu2bblz547Wem82N2uadMPDwwkPD8fb2xsAb29vJW9SUhKzZ8/Gw8MDBwcHHB0dadmyJYcOHQJg7dq1ytMcatWqpTSbvtmE+vLlS4KCgqhduzb29vZ4eHiwevVqrfK4u7vz22+/MW7cOCpXroyDgwMdOnTgxo0b7zx/X0J8YhJhf11PM3jTeBYVx+ItF4iJTfhMJRNCiI9DAjjxSb1e8zZnzhwqVaqUZt6GDRvy8OFDjh8/rqQlJyezbds2GjVq9N5l6NKlCy1atNBKO3z4MM+fP9eq1XubqlWrAmiVLTWbN2/m4MGDjB49mgEDBnDw4EHatGnDkiVL6N+/P4MGDeL06dOMGDEi3eUvU6YMQ4YMAVKaeIcOHQqk9AucPn06P/30E3PnzmXEiBFERkbSo0cPoqOjqVGjBv7+/kBKs2mXLl10th0bG0urVq3YuHEj7du3JzQ0lPLlyzNo0CBmzpyplXfx4sVcv36doKAgRo0axblz577evnRq2HIwfcHlvpN3//MDPIQQmY80oYpPRhO8aTrev3r16q357e3tKViwINu2baNixYoAHDt2jGfPnlG7dm3WrFnzUcr19OlTBg8eTJ48eWjatGm61smdOzcAjx49emu+hIQEQkJCyJEjBwA7duzgr7/+YufOnRQoUABI6c+2YcOGdJfX3Nyc4sWLAylNvJr/P3z4kF69emnV3pmYmNCtWzcuXbqEk5OT0sxcqlQp8ufPr7PttWvXcvnyZZYvX0758uWBlGA1MTGR0NBQWrZsqdR8Zs+endDQUKUJ+datWwQHBxMZGYmlpWW6j+dDREZGEhsb+858r2ITiH7xFLNUfqImqg2IV2dRXsclJPHg6SsK583xMYsqhBCflARw4pM5d+4cFhYWLF26lEGDBhEYGMiGDRuwtrZOc50GDRqwdu1aBg0ahL6+Pps3b6ZGjRofrdN9REQEHTt25MmTJyxcuJCsWbNmaP131dQUK1ZMCd4ArKysyJkzpxK8AVhYWPDy5cuMFTwVkyZNAlIC0ps3b3Ljxg127doFpASS6XHkyBFsbGyU4E2jSZMmrF69mtOnT1O9enUgJcB+vf9fnjx5AIiJiUlXABcWFkZYWJhOekRERLrKGh0dTXBwcJojld9UOo1bRq2G01F2JKoNtdKEECIzkQBOfDI5cuRg0aJFlCxZkgkTJvDzzz/Tr18/5s+fr9Uf7XUNGzZk1qxZHDt2jPLly/O///2PYcOGfZTyXLp0CV9fX6Kjo5k7d26GRpRqggxN0JKW1AJNU1PTjBU0nc6ePcvw4cM5e/YsJiYmFC9eHBsbG4B0BznPnz9Xahdfp0l78eKFkvbmcWiu4Zt9FtPi4eGBh4eHTrqfn1+61jczM6Nbt27pqoFLSExixLxwXr6K11mWqDbQCt6MDPXJk9MsXWUQQoivhQRw4pNRqVSULFkSSBlI4O/vT3BwMLNmzVL6Zr2pZMmSFClShG3btpGQkEBcXBw1atT44LIcOnSIgIAAsmXLxtKlS9Pd903j4MGDAErT7seWlJSk9To6Ovqt+aOioujYsSMqlYqwsDCKFSuGvr4+e/fuZfv27eneb44cObTmw9PQNBV/rqbR9EpveeISknCvVIYV/7v0zrxVHPIhFXBCiMxGBjGIz8bf35+yZcsSEhLCiRMn0szXsGFDduzYwebNm6lTpw5ZsmRJM296XLhwAX9/f/Lly8cff/yR4eAtKiqK+fPno1KpKFeu3AeVJTXm5uY8ePBAK+3N8/Pm1CXXr1/n2bNneHt7U6JECaU2bN++fcC/tWJp1XRqVKxYkbt37+oMzti4cSNGRkZfbN67D5XFyICm1Ythbfn22s+spkb4NCqNmYnRZyqZEEJ8HFIDJz4bAwMDJkyYQNOmTenTpw/r1q3T6i+m0bBhQ6ZPn87GjRsJDQ394P0OGjSIxMREunbtyv3797l//76yLGfOnFrzyV29elUJGOPi4rh+/TpLliwhMjKSadOmfZLRijVr1mTXrl2MHj2a2rVrc/z4cdavX6+VJ1u2bADs2bOHHDlyUKRIEczNzZk5cyaGhoYYGhqyfft2ZfqPmJgYIGXgAaQMpqhWrRrFihXT2m7z5s1Zvnw5Xbt2pXv37hQoUIBdu3axZs0aunbtqqyfGWUxNmBC92oMmXWQmw90+xxaWZgyvHMlsmc1/gKlE0KIDyMBnPisChUqRGBgIEOGDOHXX38lODhYJ0/x4sWxtbXl0aNHVK5c+YP2d/v2bS5cuABAjx49dJY3a9aMsWPHKq9fn97DzMwMa2tr3NzcaNu2rdZAhI/J09OTW7dusW7dOlauXImzszPTpk3j559/VvKUKFECDw8Pli1bxv79+wkLCyM0NJTx48fTo0cPsmbNSqlSpVi6dCmdOnXi2LFjuLu74+LiQuXKlZk0aRKHDh1i9uzZWvs2NTVlyZIlTJo0id9++42oqCiKFi3K6NGjdaZeyWwM9PWxMM/CpB7VuXHvOVsO3uDZyziymhpR27kgdsVyY6Cvh6GBNEQIITIfPXV6ezsLIcQn4OfnpzPn3KcQHZtAshr09MAsi6HM/SZEOn2u96jIGKmBE0L8J0g/NyHEt0TaDoQQQgghMhkJ4IQQQgghMhkJ4IQQQgghMhkJ4IQQQgghMhkJ4IQQQgghMhkJ4IQQQgghMhkJ4IQQQgghMhkJ4ITIJN53zm2ZqxsSEpNJTEr+0sUQQoiPRibyFV+dwMBA1q1b99Y8NjY27Nq1i+DgYEJCQrSWGRgYkC1bNipUqEDPnj0pUaKEsqxXr15s2bJFZ3uTJ0+mUaNGANy5c4cJEyYQHh5OQkICrq6u9OnThyJFinyEo3s/q1at4tq1awQGBmZovRkzZmBkZETHjh0BlPN16dKlT1HMr0psfCJ6enocOf+AK7cj0dfTo3yp77AtaIm+HhgZGnzpIgohxHuTAE58dbp06ULLli2V16GhoVy4cEErUDM21n4A+cqVK5X/JyUlce/ePaZMmULr1q3ZvHkzVlZWAPz99980adKE1q1ba61fqFAhAKKiomjfvj0GBgYMGzYMY2NjQkND8fLyIiwsDAsLi499uOkyY8YMnJ2dM7ze1KlT6dq1q/L6hx9+oGrVqh+zaF+l2LhEdh69xbJtF4mKSVDS1+y+ync5zejxkxMlClpgYiwfgUKIzEk+vcRXp2DBghQsWFB5nTNnToyNjXF0dExznTeXlS9fnrx589K6dWvWrVtH586diYmJ4ebNm/j6+qa5ra1bt3Lz5k02b95M8eLFAbC1taVWrVps27ZNK7DMjPLkyUOePHm+dDE+qZi4RDYfuM6izX+nujziaTS/zjrIiM6VKFU4J8ZGUhMnhMh8pA+c+GbZ2dkBcPfuXQAuXbpEcnIypUqVSnOdevXq8fvvvyvBG4CRUcozNOPj49Ncb+3atdjb23P8+HE8PT2xt7enXr167Nq1i+vXr+Pj40PZsmWpU6cOmzdv1lpPpVJx584dre25u7srzaXu7u7cvXuXdevWaeU9evQoHTp0oGLFitjZ2eHu7k5wcDDJySl9vVQqFQAhISHK/4ODg5X/a2zZsoXmzZvj5ORElSpVGDJkCM+fP1eWBwcHU6dOHfbs2UPjxo2xs7OjXr1672zm/lLiE5JYsiX14E0jOVnN1N9PfKYSCSHExycBnPhm3bhxA0Cpzfv775Qv9RUrVlClShXs7Oxo1aoVp0+fVtbJnj07Tk5OQErAdvHiRQIDA7G0tKRBgwZv3V9iYiK//PILLVu2JDQ0lCxZstCnTx/8/PyoUaMG06ZNw8rKiv79+/PgwYN0H0dISAhWVlZUr16dlStXYm1tzcWLF2nbti0WFhZMmTKFGTNmUK5cOUJCQpQAUdOs3KJFC60m5teFhobSq1cvypYty2+//UZAQADbt2/Hy8uL2NhYJd+jR48YMWIE3t7ezJ49m/z58xMYGMi1a9fSfRyfQ1xCEhv3Xyc5HeM2Hj+L5fz1J5++UEII8QlIE6r4JiQmJir/j42N5eLFi4wZM4Zs2bLRpEkT4N8ALi4ujsmTJ/Ps2TNmz56Nt7c3K1eupGTJklrb9PX15eDBg+jr6zN8+HClH11akpOT8fPz44cffgDgxYsX/PLLL/j4+NCuXTsAcufOjaenJ+fOnUt3U2bp0qUxNjYmZ86cStPvxYsXqVy5MhMmTEBfP+V3WJUqVdizZw9Hjx6lcePGSt48efKk2mT8/PlzZsyYwQ8//MDQoUOVdFtbW1q3bs3atWtp1aoVADExMYwePZpKlSoBULhwYWrWrMnevXspVqxYuo7jY4iMjNQKLN8UHZvIuYvXMdOP1lmWqDYgXp1FK+3Y3xGUKZYLYxnQIITIZCSAE9+EMmXK6KQVL16c4OBgJfBq27YtDRo0UIIQgEqVKlG3bl1mzpzJ1KlTtdYPCAjA19eXnTt3MnjwYJ4+fYqfn99by6GpvYOUYA20++dpBkG8ePEiI4eno2nTpjRt2pS4uDhu3brFzZs3OX/+PElJSSQkJLx7A8CpU6eIj4+ncePGWukVKlTAxsaG8PBwJYB78zg0wWd0tG6glJawsDDCwsJ00iMiItK1fnR0NMHBwe+cFsUMKG2um65Ww+koOxLV/37sJSarUcvsIkKITEgCOPFNWL16tfJ/IyMjrKysyJUrl1aeokWLUrRoUa207NmzU65cOS5evKizzQoVKgDg6urKixcvmDFjBh07dsTQMO23jbm5buRgYmKSoWNJj9jYWEaOHMmGDRtITEwkf/78ODk5YWhomO553zT93DSB5uty587Ny5cvtdJMTU2V/2tq/TIyx5yHhwceHh466e8KijXMzMzo1q3bW2vgYuMSWbP7Ckcv6AaFiWoDreANoFi+HBgZSk8SIUTmIwGc+CbY29u/M8/mzZuxsLCgSpUqWulxcXFYWloCcObMGe7cuUPDhg11tr9hwwYiIyPf2ZSaEXp6egDKwAONV69evXW90aNHs337dqZOnUrlypUxMzMD0KpdfJccOXIA8PjxY51m0EePHlGgQIF0b+tz0Vynt/mhfg72ntv9znwmxgZUK2eDvr7exyiaEEJ8VvLTU/xnLF++nGHDhmmNJo2IiODEiRPKHGu7d++mT58+3Lt3T2vd/fv3p1qr96E0NXb3799X0q5fv86zZ8+08mlqvDSOHz+Oi4sLtWvXVoK3c+fO8fTpU61g8M31Xle2bFmMjY3ZtGmTVvqxY8e4d+8e5cqVe69j+tK+y2VGhVLfvTNfC/cSyEMqhBCZlQRw4j8jICCAO3fu0K1bN/bt28emTZvw9vYme/bsdOjQAYCff/4ZS0tLfH192bp1K3v37qVXr17s3buX/v37vzUgeh+urq6YmpoyduxY9u7dy5YtW+jatavOhMHZs2fnwoULHDlyhNjYWBwcHPjrr79YsWIFR44cYfHixXTq1Ak9PT1iYmK01jt58iRHjx7Vae60sLCgc+fOrFq1iuHDh/PXX3/x+++/061bN4oXL07z5s0/6rF+LibGhvT3rkD5ktZp5mleozjfVy+GaRZphBBCZE7y6SX+MypXrszcuXOZPn06vXr1Ql9fHzc3N/r27Uv27NkBsLa2Zvny5UyaNImRI0cSFRVF6dKlmT17NtWrV//oZcqWLRu//fYbkyZNIiAgABsbG7p27cr69eu18rVv354xY8bQoUMHFixYQGBgIAkJCUydOpX4+Hjy58+Pv78/V69eZdeuXSQlJWFgYICfnx+hoaF06tQp1UeIdevWjdy5c7N06VJWrVqFhYUF9evXp2fPnlp93jIbE2NDBvhU5O6jV6zdfYWbD16ir6+HXdFcNKtRnKymRvIUBiFEpqanliddCyG+ID8/P2bOnPnJth8dm6A0lRro62EitW5CZMinfo+K9yOfZEKIb5qZidGXLoIQQnx00gdOCCGEECKTkQBOCCGEECKTkQBOCCGEECKTkQBOCCGEECKTkQBOCCGEECKTkQBOCCGEECKTkQBOCCGEECKTkQDuP0bmbRZCCCEyPwngMonAwEDc3d0zvN7ChQtp3749AKtWrWLcuHEfu2gfXXBwMCqV6pNse+3atahUKu7cufNJtv+18fLywsvLS3mtUqkIDg7+giX6/JITE1Gr1cpfcmLily6SEEJ8MHkSQybRpUsXvL29M7ze3r17lWd4zpgxA2dn549dNJGJrFy5kjx58nzpYnxWegYGHGzaQnldef3qL1gaIYT4OCSAyyQKFiyY4XWio6M5duwYv/766ycokciMHB0dv3QRhBBCfATShPoVUavVLFu2jEaNGuHg4ECdOnWYM2cOarVapwn1/Pnz+Pj4UL58eZycnGjbti2nT5/W2t6hQ4ewtramWLFiuLu7c/fuXdatW6c0Ia5du5bSpUuzatUq3NzcqFatGleuXCEpKYnZs2fj4eGBg4MDjo6OtGzZkkOHDinbDg4Opk6dOuzZs4fGjRtjZ2dHvXr1WLdunVYZlixZQv369bG3t6dq1aoMGzaMqKiodJ2PPXv20KRJE+zt7alXrx7r168HIDExETc3N3r37q2zToMGDRgwYAAAycnJhIaGUqNGDcqWLUuXLl14/vy5Vn7NcYSEhODi4kLt2rWJjIwkKSmJZcuW0bhxYxwcHKhRowYTJ04kLi4OgPv371OhQgWt5sn4+Hg8PDxo0KABUVFR6Sqju7s7U6ZMISgoCGdnZ5ydnenbty+RkZFK/sDAQHx8fBg6dCgVKlSgWbNmJCYmEhcXx/Tp05XzW7duXWbPnk1ycnKa5/T1JtTw8HBUKhWHDh2iffv2lC1blsqVKzNu3DgSX2tmTE5OZvbs2dSpU0e5zkuWLHnrtRNCCPFpSQ3cV2Ty5MnMmzePtm3bUqVKFc6fP8+UKVOIj4/XyhcVFUXHjh1xcXHht99+IyEhgRkzZtChQwd2795NtmzZgJTm02rVqgEQEhJC586dKV26NF26dMHa2hqApKQkZs6cyahRo3j69CnFixdn/PjxLF++nD59+qBSqXjw4AHTp0+nR48e7NmzBzMzMwAePXrEiBEj8Pf3x8bGhnnz5hEYGIiDgwPFihVj8+bNjBs3jv79+6NSqbh+/Trjxo0jNjaWsWPHvvN8DBkyhJ49e2Jtbc2sWbMIDAykZMmSlCxZkqZNm7JkyRKioqIwNzcH4PTp01y/fp0RI0YAMGHCBBYvXoyfnx+Ojo5s27aNSZMm6ezn3r177Nixg8mTJxMZGYmlpSWDBg1i/fr1dOzYEWdnZy5cuMD06dP5+++/mTt3Lnnz5mXAgAEMHDiQNWvW4OnpyZQpU/jnn39YuXIl5ubm6SojwPLlyylUqBBjxozh6dOnTJo0ievXr7Nq1Sr09VN+Yx07dgw9PT2Cg4N59eoVBgYGdOrUiVOnThEQEECpUqUIDw9n6tSp3L59m5EjR6b7vuvTpw+tWrWiU6dO7Nmzh/nz51OoUCFatmwJwLBhw1i7di2+vr44OTlx9OhRxowZw4sXLwgICEj3fj6X5MRE9AwMlNdJ0dFay5OiozH4/3sYQJ2UhL6hfBQKITIX+dT6Srx48YIFCxbg5eVFv379AKhSpQpPnz7l+PHjSsAFcPXqVZ4+fYqXlxfly5cHoGjRovz+++9ERUUpAdz+/fsZMmQIAKVLl8bY2JicOXPqNKP5+flRo0YN5fXDhw/p1auXVu2SiYkJ3bp149KlSzg5OQEQExPD6NGjqVSpEgCFCxemZs2a7N27l2LFihEeHo6NjQ2tW7dGX18fZ2dnzMzMtGqX3mbUqFFKAFqgQAHq1q3LkSNHKFmyJJ6ensyZM4ft27fj6ekJwLp16yhYsCAVKlTgxYsXLFmyBG9vb7p16wZA1apViYiIYP/+/Vr7SUxMpH///lSuXFk5v6tXr6Znz574+/sr18La2pp+/fqxb98+qlevjqenJ//73/8YP348OXPmZOHChfTq1YsyZcoAvLOMGnp6eixYsEC5bjlz5iQgIIB9+/Yp1yUxMZHhw4dTqFAhICU4P3jwIBMmTKBJkyZKGU1MTJg2bRo+Pj4UL148Xef5hx9+UAKxSpUqsXPnTvbs2UPLli25ceMGf/zxB7/88gudO3cGwM3NDT09PWbNmkWrVq2wtLRM134+hsjISGJjY9+aR61Wc/qXftqJpqYYJiVhFh9PeCvtvqTSJ04IkRlJAPeVOHXqFAkJCdSpU0crPTAwUOtfgBIlSpAzZ078/f1p0KAB1atXp1KlSkrgB3DlyhUeP36Mq6vrO/dta2ur9VpTS/X06VNu3rzJjRs32LVrFwAJCQlaeV8PBjWd46P/v8bD1dWVlStX0rx5c+rWrUuNGjVo3Lgxenp6QErT3OvNfXp6ehi8VnPyepBToEABICXQBShSpAjly5dnw4YNeHp6Eh8fz5YtW/Dx8UFPT085n7Vq1dIqb4MGDXQCuDfPwZEjRwBo3LixVp5GjRoxYMAAwsPDlYEhI0eOpHHjxnTp0oXy5cvTsWNHJf+7yqhRs2ZNJXiDlGZVIyMjjh07pgRwJiYmWv0gjxw5goGBAQ0bNtQqY5MmTZg2bRrh4eHpDuA0AblGnjx5lGt4+PBh1Go17u7uWs2q7u7uzJgxg+PHj1O7du107ScsLIywsDCd9IiIiHStHx0dTXBwcPqmwilVQidJT62m6pkLGCclpWt/QgjxNZMA7ivx7NkzIKX25V2yZs3KsmXLmDFjBlu2bOH333/H1NSUJk2aMGjQILJkycLevXtxdnbG1NT0ndvLlSuX1uuzZ88yfPhwzp49i4mJCcWLF8fGxgbQnUfu9e1rmvs0eRo2bEhycjLLly8nJCSEadOmYWNjQ+/evWnUqBEDBw7U6jNnY2OjBIqA0lSb2rYBWrRowcCBA7l37x6nT5/mxYsXNGvWDEDp6/bm+bSyskr1HOTOnVv5v2bdN/MaGhpiaWnJy5cvlTRra2sqV67Mli1bqFatmlLO9JTx9W28Tl9fHwsLCyVYhZRr9HrQ9/z5cywtLTF8o+lPU+bXy/guJiYmOvvXnGfNfdmoUaNU101v8AXg4eGBh4eHTrqfn1+61jczM6Nbt27vVwMHGCYlSfAmhPhmSAD3lciePTuQUutVtGhRJf3+/fvcvHlTp+araNGiTJgwgaSkJM6cOcOGDRtYsWIF+fPnp3Pnzuzdu1en9ik9NP3rVCoVYWFhFCtWDH19ffbu3cv27dszvD3Nl/bLly/566+/mDNnDn379qVChQp07dqV1q1bK3mNjY0ztO369eszatQotm/fzsmTJ6lUqRL58uUDUJr1njx5onU+NQHJ2+TIkQNI6eOXP39+JT0hIUHpI6dx6NAhtm7dSqlSpQgNDaVevXpKM+e7yphWmZKSkoiMjHxrMJ8jRw4iIyNJTEzUCuIePnyodfwfSnNfLlq0iKxZs+osf/NYPrX0HFdyYiJ5V/w7yCIpOlqr2dRl+WKdPnB60gdOCJHJyCjUr4SDgwNGRkb8+eefWumLFi2iR48eWrUv27Ztw9XVlUePHmFgYICTkxPDhg0je/bsPHjwgKioKE6ePKk082m8WTuUmuvXr/Ps2TO8vb0pUaKEss6+ffsA3jrC8U09e/aka9euAGTLlo0GDRrQpUsXkpKSePjwIfnz58fe3l75y+jkvWZmZjRs2JCwsDD279+vVbPl5OSEiYkJ27Zt01pn9+7d79yuZq68TZs2aaVv3ryZpKQkpd9hVFQUAwcOxNnZmWXLlpEzZ04CAwO1ztHbyqixf/9+rYEqf/75J4mJiUrfwrTKmJSUxJYtW7TSN27cCKCU8UNVrFgRSOl79vq1evbsGVOnTk1XQPy56Rsaoqenp/y9HqwBGJiZaS2XAQxCiMxIPrm+Ejlz5sTb25tFixZhbGyMq6srZ8+eZenSpfzyyy9cvnxZyVuuXDmSk5MJCAigc+fOZM2ala1bt/Ly5Uvq1q3LwYMHyZMnD0WKFNHaR/bs2blw4QJHjhzBwcEh1XIUKVIEc3NzZs6ciaGhIYaGhmzfvp3Vq1M6esfExKT7mFxdXRk6dCjjxo2jWrVqvHjxgpCQEAoXLkzJkiXf4yzpatGiBT/99BPm5ubUrVtXSc+aNStdunRh6tSpmJqa4urqyt69e9MVwBUvXpxmzZoREhJCbGwsLi4u/P3338pUI1WrVgVQRo0uXLiQrFmzMnToUDp37syCBQvo0KHDO8uo8eDBA/z9/fH29ub+/ftMnjwZNzc3XFxc0ixjtWrVcHFxYejQoTx8+JDSpUtz5MgR5syZQ7NmzdLd/+1dbG1tadKkCYMHD+bu3bvY2dlx48YNpkyZQv78+SlcuPBH2Y8QQoiMkQDuK9K3b19y587NihUrmD9/Pvnz52fgwIG0atVKaxCDtbU1c+fOZdq0aQwaNIiYmBhKlChBcHAwrq6u/Prrr8rozde1b9+eMWPG0KFDBxYsWJBqGbJly0ZoaCjjx4+nR48eZM2alVKlSrF06VI6derEsWPH0v1Ir5YtW5KQkMDvv//O8uXLMTExoVKlSvTt2xcjI6P3O0lvcHR0xNLSkrp16+r05fL19cXMzIxFixaxaNEinJyc6N+/P8OGDXvndkePHk2hQoVYs2YN8+bNw9raGi8vLwICApQm5TVr1tCnTx+lybR69eo0aNCAadOmUaNGDYoVK/bOMkJK/7Ls2bPTs2dPzMzMaNasGb169Xpr+TSjQH/77TcWL17M06dPyZ8/P7169aJdu3bpPHvpExQUxKxZs/j999958OABuXLlomHDhvTs2VNr0IkQQojPR08tTzcXmdiZM2f44YcfWLNmDXZ2dl+6OKl6Wxnd3d1xdnZO17x43yo/Pz9mzpz5ybb/5rxwMu+bEBnzqd+j4v3Ip5jIlMLDwwkPD2f9+vW4urp+lcFbZijjf8GbwZoMWBBCfAtkEIPIlCIjI1mwYAG5cuUiKCjoSxcnVZmhjEIIITIn+SkqMqX69etTv379L12Mt0pPGV+f904IIYRIL6mBE0IIIYTIZCSAE0IIIYTIZCSAE0IIIYTIZCSAE0IIIYTIZCSAE0IIIYTIZCSAE0IIIYTIZCSAE+IbcvnyZXr16kWVKlWws7PDzc2Nnj17cuHCBSWPl5cXXl5eaW5j7dq1qFQq7ty58zmK/ElExybwKiaBU5cfcvxiBBFPXxETl0hysjx4RgjxbZB54IT4Rly5coWffvoJBwcHBg0aRO7cuXnw4AFLly7lp59+YsmSJTg6Or5zOzVq1GDlypVYW1t/+kJ/ZAmJSUTFJDB7/VkOn71PYtK/AZuqkCUdGpehiE0OTIzlo08IkbnJp5gQ34gFCxZgYWHB3LlzMTIyUtJr165NgwYNCA0NZfbs2e/cTs6cOcmZM+enLOonkZys5sWreHpO2cuzl3E6yy/djCQw9AADfSpS1tZKgjghRKYmTahCfCMeP34MgFqt3UxoZmbGgAEDaNCgQarr7d+/Hzs7OwYMGIBardZpQg0MDKRt27asWbOGevXqYWdnR5MmTdi7d++nPaAMiktIYuzio6kGbxrJyWrGLzkmTalCiExPAjghvhE1atTg3r17tGzZkmXLlnHt2jUlmKtfvz7NmjXTWefo0aN07dqVRo0aMXr0aPT09FLd9rlz55g3bx7du3dn+vTpGBoa0r17d54/f/5JjykjIl/EcvGfyHfmi09MZvvhmyQkJn2GUgkhxKchbQhCfCNatWrFo0ePmDdvHiNGjADA0tISNzc3vLy8KFu2rFb+M2fO4OvrS926dQkKCkJfP+3fcy9fvmTt2rUULFgQSKnVa9OmDYcPH6ZevXqf7qDeEBkZSWxsrE56crKabeH/YKYfrbMsUW1AvDqLVtpfp+9R16UQRoYGn6ysQgjxKUkAJ8Q3pEePHrRt25b9+/dz6NAhwsPD2bRpE2FhYQwYMAAfHx8A7t27R6dOnVCr1QwdOvStwRuk9IvTBG8AefLkASAmJibdZQsLCyMsLEwnPSIiIl3rR0dHExwcrNNE/LrS5rppajWcjrIjUf3vx11sXCKkXtkohBCZggRwQnxjcuTIgYeHBx4eHgBcuHCBfv36MXHiRJo0aQLAnTt3cHNzIzw8nODgYAYMGPDWbZqammq91jS1Jicnp7tcr5fpdX5+fula38zMjG7duqVaA6dWq/nr1F3W7L6qsyxRbaAVvAHktjAF6QYnhMjEpA+cEN+AiIgI3NzcWLVqlc6y0qVL07NnT+Lj47l9+zYAJUqUYNasWXTo0IElS5Zw5syZz13k92JpaUnevHl1/vLly0ejmo7E62UlOtlM6+/N5lOARlWKYJpFfr8KITIvCeCE+Abkzp0bQ0NDli9fTlyc7ijM69evkyVLFgoVKgSkBEKGhob4+/uTL18+Bg0aREJCwucu9kelpwe1KhZ8Z768ubLiaGuFvr60oQohMi8J4IT4BhgYGDBs2DAuX76Mp6cnK1as4MiRI+zdu5cxY8Ywbdo0unbtSo4cObTWMzExYfDgwVy+fJk5c+Z8odJ/HGYmRnT63o7yJdOegNjK0pSggCoYGkjwJoTI3KQNQYhvRI0aNfjjjz+YN28eM2fO5OnTpxgbG1O6dGmmTJlC3bp1U12vevXq1KtXjxkzZnzWEaWfQhZjQwb4VOTk5Ues23OVCzeeAvBdTjM83IpQz7Uwxkb67xy0IYQQXzs99duGdAkhxCfm5+fHzJkzP+o2k5PVxCUkkcXIgGS1muRkNXp6yLQhQryHT/EeFR9OauCEEN8cfX09ZZCCPnogcZsQ4hsj7QhCCCGEEJmMBHBCCCGEEJmMBHBCCCGEEJmMBHBCCCGEEJmMBHBCCCGEEJmMBHBCCCGEEJmMBHBCCCGEEJmMBHBCCCGEEJmMBHBCiG9OcmIiarVa6y85MfFLF0sIIT4aeRKDEP8hXl5eACxZsuQLl+TT0jMw4GDTFlppldev/kKlEUKIj08COCH+Q4YOHfqliyCEEOIjkABOiP+Q4sWLf+kiCCGE+AikD5z4z4uNjWXSpEnUrVsXOzs7ypUrR7t27fj7778BePr0KX369KFKlSrY29vz/fffs379emX9tWvXolKpOH36NM2aNcPBwYHGjRuzZcsWrf3cuXOHfv364ebmRpkyZahUqRL9+vUjMjJSyePu7s6YMWPw8fGhXLlyDBkyBICLFy/StWtXXF1dKVOmDFWrVmXUqFHExsYq60ZFRTFkyBAqVaqEk5MTvXr1YuHChahUKiWPl5eX0owKoFKpWLZsGYMGDcLZ2RknJye6d+/O48ePtcq+c+dOmjdvjr29PVWqVGHUqFFER0d/+Mn/SN7s85aUStmSoqOlT5wQ4pshNXDiP69fv34cPXqU3r17U7BgQf755x+mTZtGr1692Lp1K3379uXJkycMHz6crFmzsnHjRvr370/evHlxcXFRtuPr60ubNm3o1asXq1ev5pdffiFLlizUqlWLmJgYvL29sbS0ZOjQoWTLlo3jx48zffp0smTJwsiRI5XtLFu2jNatW9O5c2dMTEx4+PAhrVu3xtHRkbFjx2JsbMyePXtYtGgRuXPnxs/PD4CAgAAuXLhAr169yJcvH8uXL2fSpEnvPP4pU6ZQp04dJk+ezO3btwkKCsLQ0JDJkycDsGnTJvr06UPjxo3p2bMnd+/eZcqUKVy9epUFCxagp6f3ka9I2iIjI7WCVg21Ws3pX/ppJ5qaYpiUhFl8PADhrby1FkufOCFEZiYBnPhPi4+P59WrVwwePJiGDRsC4OzszKtXrxg7diyPHj3iyJEjdOnShdq1awPg4uKChYUFBgYGWttq06YNXbt2BaBq1ao0a9aM0NBQatWqxT///EOePHkYO3YsBQsWBMDV1ZWzZ89y5MgRre1YW1sTGBiIvn5KBflff/1FqVKlmDZtGubm5gBUrlyZQ4cOcfToUfz8/Dh06BCHDx8mODiYunXrAlCtWjUaN27M1atX33oObG1tCQoKUl6fOXOGbdu2ASmB0cSJE6latSoTJ05U8hQuXJi2bduyd+9eatSoka5zHRYWRlhYmE56REREutaPjo4mODgYtVqdeoZSJXSS9NRqqp65gHFSUrr2IYQQmYUEcOI/zdjYmHnz5gHw8OFDbt68yfXr19m9ezcACQkJuLi4EBwczMWLF6levTrVqlWjf//+Otv6/vvvlf/r6elRp04dgoODiYmJoVSpUixfvpzk5GRu377NP//8w5UrV7h+/TqJbzTlFStWTAneANzc3HBzcyMhIYEbN27wzz//cOnSJZ4+fYqFhQUAhw8fxsjISAkyAfT19WnQoAHBwcFvPQeOjo5ar/PkyUNMTAwA169f58GDB/j6+mqVs2LFipibm3PgwIF0B3AeHh54eHjopGtqEN/FzMyMbt3+r737Dovi6ts4/t0FkaqCDWzYAjYQGwQbKnax16hYYlQUe8WujzWxEEUNYq/EaNQoYjeWWDAaNSYxTY1dbCAqIOzuvH/wsnEFFSNt8fe5rr2ezJkzM2d2n11vzjkzMzjtPXCAqVYr4U0IkSNJgBMfvOPHjzNr1iyuXr2KlZUVzs7OWFlZAUnBIDAwkODgYPbs2cPevXtRq9XUrFmTqVOnUrx4cf1+ChcubLDf/PnzoygKT58+xcLCgtWrV7Ns2TKioqIoUKAAFStWxMLCgqdPnxpsV6BAAYNlnU7HggUL2LhxI7GxsTg4OODq6kru3Ln1daKiosiXL59B8EttX6mxsLAwWFar1fperujoaACmTZvGtGnTUmx7//79t+4/Pdna2qZarigK1/4/dAohxIcgUwPcixcv+PHHH7l9+zb16tXDwsKCFy9eULBgwcxshhB6N27cwN/fH29vb5YtW6Yf3ty4cSPHjx8HwMbGhtGjRzN69GiuXr3KoUOHWLp0KdOmTWPFihX6fUVFRRmEuIcPH2JiYkK+fPnYtWsXc+bMYeTIkXTo0AE7OzsAhg4dyqVLl97YxpCQENasWcPUqVNp0qQJNjY2AHTo8O99zgoXLkxUVBQ6nc4gxD169Oi93p88efIASfME3d3dU6zPmzfve+0/vSharcGcNm1sbIo5bx6b1mFiaWmwjcpU/oYVQhinTLsKdf/+/dSvX5++ffsydepUrl69yoULF2jQoAGrV6/OrGYIYeCXX37hxYsX9O/fXx/eAH14u3PnDl5eXvo5YaVLl6Zv377UrFmTe/fuGezr8OHD+v9WFIX9+/dTrVo1zMzMOHfuHDY2NvTr108f3p4/f865c+fQ6XRvbOO5c+coW7YsHTp00Ie3yMhI/vzzT/227u7uaDQagzZA0tWj76N06dLkz5+fW7du4eLion/Z29szf/58fvvtt/faf3pRm5qiUqn0r5eDWjITS0uDOmoJb0III5Ypv2A//fQTw4cPx9HRkU6dOrFs2TIgabJ2kSJF+OKLLyhevLjB/B0hMkPFihUxNTVl7ty5fPrppyQkJLBt2zaOHDkCJPUw2dvbM2PGDJ49e0aJEiX45ZdfOHr0KP379zfY19y5c0lISKBUqVJs2bKFK1eusHbtWgBcXV0JDQ1lzpw51K9fn/v377Ny5UoePnz41l4sV1dXli5dSkhICG5ubly/fp1ly5aRkJCgn6tWo0YNatWqxYQJE3j48CFFihRh69at/P777+91laiJiQnDhw9n8uTJmJiYUL9+fWJiYli6dCmRkZFUrFjxP+9bCCHEf5cpAe6rr76iaNGifPvtt8TFxREcHAxAuXLl+Pbbb+nUqRNr1qyRACcynaOjI/Pnz2fx4sUMGDCAvHnz4ubmxvr16/H19eXs2bMsXryYBQsWsHDhQqKionBwcGDQoEH069fPYF9Tp05l2bJl3Lx5kwoVKrBq1SqqV68OQNu2bbl16xbffvstmzZtonDhwnh5edG1a1cmTZrE33///dqb7Pbv35+oqCjWrVvHkiVLcHBwoHXr1qhUKpYtW8aTJ0/ImzcvgYGBzJkzh/nz56PRaPD29uaTTz4xuGfdf9GxY0esrKxYsWIFmzdvxtLSkqpVqzJv3jyDOYBCCCEyj0p57TX56adGjRr06dMHPz8/oqKi8PT0ZPXq1Xh6egLoJ3efPn06o5siRLrbtm0b48aN49ChQxQrVixL2nD79m0uXLiAt7c35ubm+vIhQ4Zw8+ZNtm/fniXtSgs/Pz/9H3XpRafRoHrlNi+KVivDpkL8BxnxHRXvL1N+zRISEt44TGRqaprqrQGEEGmjVqsJCAjA29ubDh06YGJiwrFjx9i/f7/BPd4+FKkFNblgQQiRk2TKRQylSpVKcbPSlx0+fBhHR8fMaIoQOZKDgwPLly/n0aNHDBs2jAEDBnDmzBnmzZtH27Zts7p5Qggh0lmm/Enavn17Zs2ahaurK40aNQKSbnQaHR3Nl19+yenTpxk9enRmNEWIdNeuXTvatWuX1c3g448/5uOPP87qZgghhMgEmRLgunfvzvnz5/n888/54osvUKlUDBo0iOfPn6MoCrVr16Znz56Z0RQhhBBCCKOXKQFOpVKxYMECGjVqxO7du/nnn3/QarVUqVKFJk2a0K5duxR3kBdCCCGEEKnLlAAXGhqKp6cnzZo1o1mzZplxSCGEEEKIHCtTur3mzZvHrl27MuNQQgghhBA5XqYEOLVa/dqHUAshhBBCiHeTKQGuT58+hISEcPz48bc+91HkbJlw3+gs9yGcY3am02hQFEX/0mk0Wd0kIYRId5kS4C5cuMCzZ8/o168fVapUoV69enh7exu85DFaGefu3btUr16diIiILG3HoUOHGDt2rH45IiICZ2fn925XQEAADRo0yPBt3iYmJoaxY8dy9uxZfZmvry++vr7pepz3ERQUhLOz8xvrpNfnklVUJiacbNNB/3r1iQxCCJETZMpFDH/++Sf58uUjX758+rJXeymk1yJj3L59mz59+vD06dOsbgpr1qzJ6iboDRw4kB49eqTrPi9fvsyOHTsM7gk3ZcqUdD3G++rYsSN16tTJ6mYIIYR4T5kS4A4fPpwZhxEv0el0bN++nS+++CKrm5ItlShRIlOO87oH1GcVe3t77O3ts7oZQggh3pPcfC2H+uOPP5g6dSpt2rRJc4i7desWzs7O7Nu3j4EDB+Lm5kbNmjVZunQpz549Y/z48VSrVo2aNWsyd+5cg17TFy9e8MUXX+Dl5UWlSpVo2bIl4eHh+vW+vr6cOXOGM2fOpBieu3r1Kn369KFy5crUqlWLefPmofn/eUtDhgzBy8srxdzJyZMn4+3tnWrPbYMGDVi0aBGff/45NWvWxNXVlT59+nDt2jV9nVeHUBVFYePGjbRo0UL/xJDly5cb7P/EiRN07dqVatWq4eHhwciRI7l79y6QNOyY3KPXo0cP/bDpq0Oozs7ObNy4kQkTJuDu7k6VKlUYMmQIDx8+1NfRarWEhITg4+ODq6srbm5udOnShVOnTunrBAUF0bRpUw4ePIiPjw8uLi60bt2a8+fPc+HCBTp27Iirqys+Pj4ptnt1CPXrr7+mSZMmuLq60r17d+7cuZPiPb1z5w4jRozA3d2dypUr07NnT3777bcU9TLbq/PdFEVBGxtrUEcbGytz4oQQOU6m9MAtXrz4rXVUKhX+/v6Z0JoPg4ODAwcOHMDe3v6d5zJNmDCB7t274+vry5YtW1i4cCE7d+6kZs2aLFy4kL1797JixQoqVapEs2bNUBQFf39/fvrpJ4YMGUKZMmU4cOAAw4cPJyEhgTZt2jBlyhT949KmTJlC2bJl+fXXXwGYPXs2fn5+fPbZZ+zfv5/ly5djb29P9+7d6dChA/v27SMiIgJPT08AEhIS2LNnDz179kSlUqV6DuvWraNatWrMnj2bJ0+eMHPmTAICAti8eXOq9RcsWMDKlSvp1asXtWrV4tdffyUwMJCEhAT8/f357rvvGDNmDM2bN6d///5ERUWxaNEiOnfuzPbt26lYsSKTJ0/mf//7H5MnT8bDw+O1729gYCCNGjViwYIF3Lx5k9mzZ2NqasqCBQuApNvubNq0iVGjRuHs7My9e/dYsmQJQ4cO5ciRI1haWgJw7949Zs+ezfDhw7GwsGD69OkMGTKEXLlyMWDAAGxtbVmwYAHDhw/nyJEjmJubp2jLhg0bmD59Or6+vtSrV49Tp04xadIkgzqPHz+mS5cuWFhYMGnSJCwsLFi7di3dunVj69atlClT5k3/d8pQyfPd3iSiq+FQec0dWzOySUIIkSmyPMCpVCoURZEAl85enm/4rurUqcOwYcOApCHA3bt3kz9/fiZPngxArVq12LNnDz/99BPNmjXj5MmTHD9+nMDAQJo3b67fR1xcHPPmzcPHx4eyZctibW0NgJubm8HxevTowcCBA4Gk53l+//33nD59mu7du1O7dm3s7e3ZsWOHPsAdPHiQp0+fvvEh7Xny5GHp0qWY/P8E9hs3bhAUFERUVFSKW9rExMSwevVqfH19GTNmjP4cHz9+zLlz59DpdMydO5eaNWsSGBio365q1ao0b96cVatWMXr0aP1wadmyZd84dOrk5MTs2bP1yz///DN79+7VL9+/f5/hw4cb9NyZm5szePBg/vjjD6pUqQJAXFwcU6ZMoW7dugBcuXKF+fPnM3PmTDp0SAo1Wq2WIUOGcO3aNcqXL2/QDkVRWLp0KU2aNGHixIkA1K5dm2fPnvH111/r661du5bo6GhCQ0MpWrQoAHXr1qV58+YsXLiQRYsWvfZc01tUVBTx8fEG5xBjYZFqXVOtFsuEhMxqmhBCZKpMCXDr1q1LUabVannw4AHfffcdkZGRhISEZEZTBEn/6Gm1WoMyk5eu1EsOCAAFCxYEoHLlyvoylUpF3rx59RdGnDp1CpVKhZeXl37oE5KGMnfu3Mlff/2VIjy8rHr16gb7Llq0KDExMUDSPQTbtm3L2rVrmTp1KhYWFmzfvh0PDw99mEiNi4uLwTklz/uKi4tLEeAuXLhAYmIijRo1MigPCAgAkoLRgwcPGDFihMH6EiVKUKVKlXfu4Xw1wNrb2xMXF6dfnj9/PpDU83X9+nWuXbumn0eamJhosG3VqlX1/12gQIEU+08O8snv58uuXr3Ko0eP8Pb2Nihv1qyZQYA7deoU5cuXp3DhwvrPV61WU7duXXbu3JmWUwYgLCyMsLCwFOWRkZFp2j42NpagoKCUw+blP0q1vkpRqPPzb5i98v91IYTICTIlwLm7u792XcuWLenevTurVq3S9wKIjHXmzJkUV2CuW7dOH4iSe8peZvGaXg6A6OhoFEUxCBMvu3///hsD3Kv7VqvVBv9It2/fnuDgYPbv30/NmjU5ceKEQQ9WWvcJpHofwujoaADs7OxS3Vfy+uSA9LICBQq881ywt53vpUuXmDZtGpcuXcLc3JyyZcvqP5tXw0tqn1VqQ6WpefLkCZDyvJNDe7Lo6GiuX79OxYoVU91PXFzcG///kczHxwcfH58U5X5+fmlqr6WlJYMHD07RA3dxxJhU65tqtRLehBA5VqYEuDdRqVS0aNGCpUuXSoDLJBUrVmTrVsN5QKVKldIHlXdlY2ODpaVlqj2tAI6Ojv9pv8mKFy+Ou7s7e/bs4enTp1hYWNC4ceP32ufL8uTJAyT1eJUuXVpffvfuXa5fv67vsXv5QoNkDx48SNenjDx79ozPPvsMZ2dnwsLCKFOmDGq1mqNHj7Jv3750Ow6gb/ejR48Myl/9/4GNjQ3u7u764eVXmZmZpWu73uTV91qn0eAQut6gTBsbazDvzWPTOkz+f94ggKLVojLN8p8+IYR4L9niKtS4uLhscZ+yD4W1tTUuLi4Gr9R6ctLK3d2d2P+/0u/lff71118sWbLEYNjtv+rQoQMnT55k586dNGvWLE09Pmnl6upKrly5OHTokEH52rVrGTp0KKVKlaJgwYIpnud78+ZNLly4oO95NEmHG8ZevXqV6OhoevTowUcffaR/z44dOwak3oP4X5UsWRIHBweD+XcA33//vcGyu7s7165do1SpUgaf786dO9myZUu6nPd/pTY1RaVSGbxeDmsAJpaWBuvVEt6EEDlAlv6SJSQkcOnSJdauXZulV7KJ9+Pl5UWNGjUYOHAgAwcOpEyZMvz8888EBQVRu3Zt/RBdnjx5OH/+PKdOnaJChQrvdIwmTZowffp0Ll68qJ+bll7s7Ozo0aMHa9euxczMjI8//phLly6xYcMGRowYgZmZGSNGjGDcuHEMHz6cNm3aEBUVxeLFi8mbNy+9e/cGknqqAI4cOULevHkpV67cO7elVKlSWFtbExwcjKmpKaampuzbt0/fY/ryXLn3pVKpGDVqFCNHjmTixIk0bdqUCxcuEBoaalCvV69efPfdd/Tq1YtPP/0UW1tbwsPD+eabbxg3bly6tUcIIUTaZUqAK1eu3Gtv9wBJ81jS+x9lkXnUajUhISEsXLiQZcuW8ejRIwoXLkyvXr0Mrizu1q0bv/zyC3379mX27NkUKlQozcfInTs3np6e/PHHH6+da/c+Ro8eTYECBQgNDWXVqlUUK1aM8ePH07VrVwDatWuHlZUVy5Ytw9/fH2tra+rUqcOIESP0c8Y++ugjfHx82LhxI8ePH091wv7b2NjYsHTpUr744guGDh2KlZUV5cuXZ8OGDfTt25ezZ8+m6yPAfHx8UKvVLF26lO+++w4nJyf+97//GVywUbhwYb7++mvmz5/P1KlTefHiBSVLljS42lUIIUTmUimZ8Ayr1z0L0tTUlEKFCtG+ffs3XuggRHx8PF5eXvTv359PP/00q5sj0pGfnx/BwcHptj+dRmPw/FNFq5VhUyHeQ3p/R0X6yJRftfXr17+9khCpuH37Ntu3b+fkyZNA0rM8hXiTV8OaXLAghMiJMuUihnHjxnHx4sXXrj916hR9+vTJjKYII6NWq1m/fj13795lwYIF+nlmQgghxIcsU/403b59O7Vq1TK4GezLkp+RKcSrHBwc3vlGuUIIIUROlyEB7saNG7Ro0cLgrvyjR4/WPwszNR99lPrd1IUQQgghhKEMCXAlSpRgyJAh+ntXnT17llKlSpE/f/4UdU1MTMifPz99+/bNiKYIIYQQQuQ4GTaE2rdvX30oK1euHAMGDKBly5YZdTghhBBCiA9GpsyB+/333zPjMEIIIYQQH4RMvb7+8uXLPH/+3OCB3BqNhqdPn3L8+HGmT5+emc0RQgghhDBKmRLgbty4gZ+fH9euXXtjPQlwQoj/Qpf4AhQFtZm5Qbmi06LotKhNzbKoZUIIkTEy5T5wCxcu5Nq1azRp0oTWrVsD0K9fP9q3b4+NjQ3m5uZs3749M5oiRIa4dOkSo0ePpl69eri6uuLt7c3EiRO5efOmvk5AQADOzs76V7ly5XBzc8PHx4clS5bw4sULg30GBASk+tgsjUbDkCFDcHZ2Zs2aNQAEBQUZLL8qtX1FRETQvXt3atSoQa1atRg0aBDXr19PdfubN29Srlw53N3diY+Pf4d3JuPpEhNIuH+dpz9/jy7h37YpOi3a2Kc8PrwxKeAJIUQOkikBLiIigubNm/Pll18yfvx4FEWhXr16zJgxgy1btmBiYsL+/fszoylCpLuNGzfSpUsXHj16xMiRI1m+fDl+fn78+OOPtG/fnl9//VVft2DBgmzevJnNmzezadMmFi5cSL169fjqq6/o3bt3ihD3Ko1Gw8iRI9m/fz9TpkyhV69eBusDAwNfG8Jedv78ef2D6efNm8ekSZO4efMmXbt25fHjxynqb926lZIlSxIbG8uePXvS9sZkgqTw9g93N0zh0b4VxFw4hC4hXh/e7qwOIObHMB6ELZUQJ4TIUTIlwEVHR1O9enUA8uTJg4ODA7/99hsAjo6OtGvXjgMHDmRGU4RIV+fOnWPmzJl07dqVVatW0bJlSzw8POjYsSOhoaFYWloybtw4fX0zMzPc3Nxwc3OjatWqeHl5MWrUKAIDAzl37hyrVq167bFeDm/Jx3yVmZkZ48aNQ6fTvbHdy5Yto3Tp0ixcuBAvLy+aNm3K8uXLiYqKStEbrtPp+O6772jatCk1a9bk66+/fsd3KQNpNdzdNA1FkwDA4wOriLlwEO3zJ9xZHYAm5gEAz3/7gSdndkuIE0LkGJkS4CwsLAyWixUrxt9//61fdnJy4t69e5nRFCHS1cqVK7GxsWHEiBEp1tnZ2REQEEDjxo159uzZG/fTqFEjXF1dXxuONBoNo0aN4sCBA3z++ee0b98+1XoBAQGcO3furc8fdnV1pWfPnqjV//4EFCpUCGtra27cuGFQ94cffuDu3bvUr1+fVq1aceHChexzZblaTaGWQ0D173k8PrCaG4v66cMbgLljJfLWaI46V+6saKUQQqS7TAlwTk5O+oeRQ9KNfn/55Rf98oMHD1LbTIhsTVEUfvjhBzw9PVP8kZKsadOmDBo0CGtr67fur3bt2ty7d4/bt28blGu1WkaNGsXevXtZsGABrVq1eu0+2rdvT926dd86lDpw4EA6dOhgUHb69GmePHmCk5OTQfm3335LqVKlqFy5Mo0aNSJPnjyEhoa+9Xwyg9rMHIvSlSncbpRBiIN/r3Q3d6yEfadxKS5wEEIIY5YpAa5NmzYcOHAAf39/nj9/Tr169bh06RKBgYGEh4ezfv36FP9oCJHdRUVF8eLFC4oVK5Yu+ytQoAAADx8+1Je9HN4URSEqKuqt+5k+fTqmpqb6+aZp8fjxYyZNmoS9vT1t2rTRl0dHR3P48GHatWsHQO7cuWnRogW7du3i+fPn73B26SMqKoq7d+8avCIfRRFt5UBCpaY8Uix4pFjwVEm66lRtbo3DJxMlvAkhcpxMuY1Ix44d+euvv9i0aROmpqY0bNgQLy8vli1bhkqlIleuXAwePDgzmiJEukkeftRqtem6X5VKpf/ve/fucfjwYZYtW0ZISAhz5syhWrVqb/yDx97enrFjxzJx4kTWr19Pjx493ni8yMhIPvvsMx49esSaNWuwsrLSr9u5cycajYYGDRoQExMDQJMmTQgNDWXXrl106dIlzecVFhZGWFhYqsdPi9jYWIKCgt4SSpOeqaxCoYPJb5jHP+PJuf3kcfOWECeEyFEy7Ua+48ePZ+DAgeTOnTQHZcmSJezevZvo6Ghq165NmTJlMqspQqSLfPnyYWVlxZ07d15bJzY2loSEBPLly/fW/d2/fx+AwoUL68ty5cpFcHAwnp6elClThtatWzN8+HC+/fZbzM1fH0g6duyoH3KtV6/ea+v98ccf9O/fn9jYWFasWIGrq6vB+m3btqHT6WjRokWKbb/++ut3CnA+Pj74+PikKPfz80vT9paWlgwePNjgNiaKTos2PpYHOxehfR6tLzdDi7kqKVg/PpB0YYiEOCFETpIpQ6jJXv5HzNTUlNatW9OzZ08Jb8Jo1a5dm4iIiNfe/mPbtm14enpy/vz5t+7r5MmTODo6GgS4QoUK4enpCSRd/DNx4kT+/vtvZsyY8db9zZgxAxMTEyZMmJBqr9WpU6f45JNPUBSFDRs2ULVqVYP1v/32G5cvX2bQoEGsW7fO4NWrVy8uX77MxYsX39qO9GRra4uDg4P+ZV/ADiV8Afli75JfFUd+VRxFHUvj2LjbKxc2rOLZbycM7hMnhBDGLNMCXEJCAitXrqRLly7UqVOHs2fP8uuvvzJ9+nQePXqUWc0QIl19+umnREdHExgYmGLdo0ePWLFiBY6Ojri5ub1xP0eOHOHnn3/mk08+eWO9tm3b0qRJE7Zs2UJ4ePgb6zo4ODB27FjOnDnDoUOHDNb99ttvDBgwgCJFivDNN9+kOiS7detWzMzM6NWrFx4eHgavPn36YGJikvW3FFGpsapYS79o7lgJ+87jyVOlscGFDaZ5C2L5UTVUprmyqqVCCJGuMmUI9cWLF/Ts2ZMLFy6QO3duEhISSExM5OHDh2zcuJEffviBTZs2kT9//sxojhDpxs3NjaFDh/Lll19y5coV2rZti62tLX/99RerVq3i+fPnhISE6Oe1JSQkcOHCBSDpKtaYmBjOnj3LunXr8PDwoHv37m895rRp0/jpp5+YPHkyLi4uFC9e/LV1O3XqxN69ezlx4gR58uTRl0+YMAGNRsOgQYP0FwMks7Ozw97ent27d+Pl5YWNjU2K/RYqVIhatWoRHh7OuHHjDPadmdRm5tjW7gjAizt/G1xtmnx16qPD6yjScyYmFjao1CZZ0k4hhEhvmRLggoODuXjxIjNnzsTLy4vatWsDSZOhp0yZwowZM1i2bBnjx4/PjOYIka4GDBhAhQoV2LhxI7NnzyY6Ohp7e3vq1q2Ln58fRYoU0dd98OABnTt3BpIuVrC1taV48eKMGTOGjh07kivX23uIbG1tmT17Nn379mXkyJFs3LjxjfVnzJhhMPfs5s2b+htpDx06NEX9tm3bUrduXaKjo1Ods/ZyvWPHjrF9+3Z69uz51nZnFH2IU6kM7vOWfIuR4h8tBJVKwpsQIkdRKWm9z8B7aNKkCVWqVGHOnDlERUXh6enJ6tWr9XN7Jk2aREREhDxOS4gPkJ+fH8HBwVndDCHEa8h3NHvKlDlwd+7ceeMcIFdXV3kSgxBCCCFEGmVKgLOxsXnjhQo3btxIdZ6NEEIIIYRIKVMC3Mcff8yWLVt4+vRpinU3b97k66+/pkaNGpnRFCGEEEIIo5cpFzEMHjyYDh060Lp1a7y8vFCpVBw6dIhDhw6xbds2tFptmm/mKYQQQgjxocuUHrhSpUqxevVqLC0tCQ0N1d84dMOGDdja2hIcHEy5cuUyoylCCCGEEEYv0x6l5erqSlhYGH/88QfXrl1Dp9NRrFgxKlWqpH+mpBBCCCGEeLsMCXDly5fniy++oGXLlinWOTs74+zsnBGHFUIIIYT4IGRI11dqt5aLioqifPnynDp1KiMOKYQQQgjxwcjUsctMuGewEEIIIUSOJ5PPhMjBfH198fX11S87OzsTFBSUhS3KWDqNBkVR9C+dRpPVTRJCiAyRaRcxCCGy3ubNm7G3t8/qZmQYlYkJJ9t00C/X3LE1C1sjhBAZRwKcEB+QNz3STgghhPGQIVQhsliDBg0IDAxk9uzZuLu74+7uzujRo4mKigIgICCAnj17MmXKFKpXr07btm3RaDS8ePGCJUuW0LRpU1xcXGjcuDEhISHodLrXHuvlIdSIiAicnZ05deoUn376KZUrV6ZmzZp8/vnnaF4aetTpdISEhNCoUSMqVapEkyZNWL9+fca+KUIIId4ow3rgDhw4wPXr1/XL8fHxqFQqvvvuO86dO5eivkqlwt/fP6OaI0S2tmnTJhwdHZk1axaPHz9m/vz5XL16lS1btgBw9uxZVCoVQUFBPH/+HBMTE/r27cuFCxfw9/enfPnyRERE8OWXX3Lz5k2mT5+e5mOPGjWKrl270rdvX44cOcKqVatwdHSkS5cuAEydOpVt27bRv39/qlSpwo8//sisWbOIiYnJ8u+sTqNBZWKiX9bGxhqs18bGYmJpqV9WtFrUpjLwIIQwfhn2S7Z//37279+fonzHjh2p1pcAJz5kKpWK1atXY2NjA4CdnR3+/v4cO3YMAI1Gw7Rp03B0dATg6NGjnDx5krlz59KqVSsAatWqhbm5OQsXLqRnz56ULVs2Tcfu2LGj/rvn6enJwYMHOXLkCF26dOHatWt88803jBgxgn79+gFQu3ZtVCoVy5Yto2vXrtja2qbre/EmUVFRxMfH65cVReHiiDGGlSwsMNVqsUxIIKJrD4NVMidOCJFTZEiAmz17dkbsVogcq379+vrwBknDqrly5eLs2bMAmJubU6JECf36M2fOYGJiQvPmzQ3206pVKxYuXEhERESaA1yVKlUMlu3t7Yn9/56s06dPoygKDRo0MBhWbdCgAV999RXnzp2jYcOGaTpOWFgYYWFhKcojIyPTtH1sbCxBQUEpb0dU/qMUdVWKQp2ff8NMq03TvoUQwthkSIBr27ZtRuxWiByrUKFCBstqtZp8+fIRExMDQP78+VGpVPr1T548wdbWFtNXhgMLFiwIwNOnT9N8bHNz8xTHTg5J0dHRALRo0SLVbdMavgB8fHzw8fFJUe7n55em7S0tLRk8ePDbe+AAU61WwpsQIkeTySBCZAPJQSmZVqslKioKOzs77t27l6J+3rx5iYqKQqPRGIS4+/fvA6TbsGaePHkAWLt2LVZWVinWFylSJF2Ok1avnpdOo8Eh9N8LKrSxsQbDph6b1qWYA6eSOXBCiBxArkIVIhs4fvw4CQkJ+uVDhw6h0Wjw9PRMtb67uztarZbw8HCD8p07dwJQrVq1dGlXjRo1gKS5Zy4uLvpXdHQ0X375ZYrgmdnUpqaoVCr96+WwBmBiaWmwXi5gEELkFPJrJkQ2cO/ePQYMGECPHj24e/cuCxYsoHbt2nh4eLB9+/YU9evWrYuHhwdTpkzh/v37VKhQgTNnzrB8+XLatm2b5vlvb+Pk5ESrVq2YNGkSt2/fplKlSly7do3AwECKFStGyZIl0+U4Qggh3o0EOCGygRYtWpAnTx6GDRuGpaUlbdu2Zfjw4a+tn3wV6KJFi1i3bh2PHz+mWLFiDB8+nN69e6dr22bPns2yZcv4+uuvuXfvHvnz56d58+YMGzYMk5du4SGEECLzqBR5wrwQWapBgwa4u7szZ86crG5KlvDz8yM4ODhd9vXqfeHkvm9CvL/0/I6K9CO/bEKIHOPVsCYXLAghciq5iEEIIYQQwsjIn6dCZLHDhw9ndROEEEIYGemBE0IIIYQwMhLghBBCCCGMjAQ4IYQQQggjIwFOCCGEEMLISIATQgghhDAyEuCEMFJyD24hhPhwSYATIhM1aNCAgICA99pHTEwMY8eO5ezZs++0XVBQEM7Ozu917OxOp9GgKIr+pdNosrpJQgiRIeQ+cEIYmcuXL7Njxw7atWv3Ttt17NiROnXqZFCrsgeViQkn23TQL9fcsTULWyOEEBlHApwQHwh7e3vs7e2zuhlCCCHSgQyhCpHJEhMTmTFjBjVq1KBGjRqMHTuWx48f69efPXuW7t27U7lyZdzd3Q3WR0RE0KNHDwB69OiBr68vAFqtlpCQEHx8fHB1dcXNzY0uXbpw6tQp/X5fHUL19fVlwoQJhISEUK9ePVxcXOjSpQsXL140aO+ff/5J//79qVq1KlWrVsXf35+bN29m2PsjhBDi7STACZHJ9uzZwy+//MKcOXMYM2YMR44cYeDAgQD8+OOP9OrVC3Nzc7788kvGjx/PmTNn6NGjB/Hx8VSsWJHJkycDMHnyZKZMmQLAvHnzWLJkCZ07d2bFihX873//IyoqiqFDhxIbG/vatuzbt49Dhw4xceJEFixYwMOHDxkyZAharRaAa9eu0aVLFx49esScOXOYOXMmN2/e5JNPPuHRo0cZ/E692avz3RRFQfvKuWpjY2VOnBAiR5IhVCEyWZ48eVixYgXW1tYA2Nra4u/vzw8//MDixYspVaoUy5Ytw8TEBIDKlSvTokULvv32W7p160bZsmUBKFu2rP6/79+/z/Dhw/U9cgDm5uYMHjyYP/74gypVqqTaFo1Gw8qVK/Vtef78OWPHjuXy5ctUqlSJxYsXY25uzpo1a/R1PD09adiwIStWrGDs2LEZ8ya9RlRUFPHx8UDSVbgXR4xJWcnCAlOtFsuEBCK69jBYJXPihBA5hQQ4ITKZl5eXPgxB0pWpuXLl4uTJk1y8eJE+ffqgKAqa/+8tKl68OGXKlOHEiRN069Yt1X3Onz8fgMePH3P9+nWuXbvG4cOHgaQh29cpW7asQVsKFy4MQFxcHACnT5/Gw8MDc3NzfXusra2pXr06J0+efKfzDgsLIywsLEV5ZGRkmraPjY0lKCjI8PYp5T9Kta5KUajz82+Y/X9PohBC5DQS4ITIZAUKFDBYVqvV5MuXj5iYGHQ6HcuXL2f58uUptsudO/dr93np0iWmTZvGpUuXMDc3p2zZshQtWhR48/3iLCwsUrQFQKfTARAdHU14eDjh4eEptrWzs3vtflPj4+ODj49PinI/P780bW9pacngwYPf3gMHmGq1Et6EEDmaBDghMllMTIzBslarJSoqCmtra1QqFb169aJFixYptns1bCV79uwZn332Gc7OzoSFhVGmTBnUajVHjx5l375979VWGxsbatasSe/evVOsMzXN/J8PW1tb/X/rNBocQtcbrNfGxhoMm3psWoeJpaV+WdFqUWVBu4UQIr3JL5kQmezkyZNoNBp9ANq3bx8ajYa6dety5swZrl69iouLi75+fHw8Q4cOpW7dupQtW1Y/Ny7Z1atXiY6OpkePHnz00b9DiseOHQP+7U37L9zd3fn7778pX768vr2KojBq1CgcHR0pX778f973+1KnEsReDmvJyyqVSr8s4U0IkVPIr5kQmezhw4cMHjwYX19f/vnnHxYsWECtWrXw9PRkxIgR9OvXj5EjR9KqVSu0Wi2rVq3i4sWLDBgwAEjqFQM4cuQIefPmpVSpUlhbWxMcHIypqSmmpqbs27ePrVuTJuwnz2f7LwYOHEiXLl3o378/n3zyCblz52bz5s0cPHiQRYsWvf+bIYQQ4j+R24gIkck6depEgQIF8Pf3Z+HChbRs2ZLFixejUqmoXbs2K1eu5N69ewwZMoQxY8ZgYmLC6tWrcXNzA+Cjjz7Cx8eHjRs3MmrUKGxsbFi6dCmKojB06FDGjBnDnTt32LBhA1ZWVu/8yK2XlStXjo0bN6JSqRgzZgxDhgzhwYMHLFmyhMaNG6fTOyKEEOJdqRR5IrYQIgv5+fkRHBycLvvSaTSoXhpiVrTaVIdahRBpl57fUZF+5JdNCJFjvBrWZM6bECKnkiFUIYQQQggjIwFOCCGEEMLISIATQgghhDAyEuCEEEIIIYyMBDghhBBCCCMjAU4IIYQQwshIgBNCCCGEMDJykyQhjIiiKAbP9syobYxRokZLQmLSc19zmaoxy2Xyli2EEMJ4SQ+cSFe+vr44OzsbvCpVqkS9evWYNm0aT5480dfdtm0bzs7O3Lp1C4Bbt27h7OzMtm3bUuz37NmzVKlShebNm3P//n0AHj9+zMSJE6lduzZVqlShZ8+e/Pzzz6m269KlS4wePZp69erh6uqKt7c3EydO5ObNm689l4ULF+Ls7MyUKVPe5y1JF/fu3aN///7cvn37nbb7+++/+eSTTwzKnJ2dCQoKSs/mZam4Fxpi4xMJ++EaC0J/Yv7Gc2w59Bcxz18Q9yIxq5snhBAZQnrgRLqrUKGCQehJTEzk119/ZcGCBVy+fJnQ0NB36hE6d+4cffv2pXjx4qxZswY7Ozt0Oh0DBw7k9u3bjBo1ivz587NmzRp69uzJ9u3bKVmypH77jRs3MmvWLDw8PBg5ciSFChXixo0brFixgv3797N69WoqVqxocEydTseOHTtwcnJi165djBkzBisrq/d+b/6rkydPcuTIESZNmvRO2+3Zs4fz588blG3evBl7e/v0bF6WiX+hYe+pf1gXfhmNVqcv//FyJN8c/INWdUrTvVl5cpvJT50QImeRXzWR7qytrfUPXk9Wo0YNnj9/zqJFi7h48WKK9a9z7tw5PvvsM0qVKsWqVavIly8fABEREZw/f56QkBC8vLwAqF69Oh9//DHffvstI0eO1G8/c+ZMunXrxoQJE/T79fDwwNvbm3bt2jFu3Dh27txpcNyTJ09y584dNm7cSI8ePdi1axddunT5b29INpPW9z67i3uhYX/EdVbt+jXV9ToFdhy7ilZR8G1WAYvc8nMnhMg5ZAhVZJpKlSoBcOfOnTTV/+mnn+jbty9OTk6sXbtWH94AKleuTGhoKLVq1dKX5cqVC5VKRUJCgr5s5cqV2NjYMGLEiBT7t7OzIyAggMaNG/Ps2TODdd9++y2lS5emevXqeHp68vXXX7+1vQ0aNGDx4sXMnj0bDw8PqlSpwsiRI3n+/DkhISHUrVuXatWqMXjwYKKiogy2CwgIMNjXy8PL27ZtY9y4cQB4e3vr68bHxzN//nwaN25MpUqVqFq1Kr179+by5csABAUFsXjxYsBw2PTVIdT79+8zbtw4vLy8cHV1pUOHDhw6dMigPc7OzmzcuJEJEybg7u5OlSpVGDJkCA8fPnzr+5JRVCrYsOfyW+uF/XCN+ARNJrRICCEyjwQ4kWmuXbsGQPHixd9a96effuKzzz7DyclJH8JeZmlpSdWqVTE1NUWj0XDt2jXGjh2Loii0a9cOSJq8/8MPP+Dp6YmFhUWqx2natCmDBg3C2tpaX/bkyRMOHjxI27ZtAWjXrh2XL1/m4sWLb2336tWruXPnDoGBgfj5+REWFkb79u05ceIE06dPZ/DgwRw6dIhFixa9dV/J6tWrx4ABAwBYvHgxAwcOBGDMmDFs3bqVfv36sWrVKgICAvjzzz8ZPnw4iqLQsWNHOnToACQNm3bs2DHFvh8+fEiHDh04c+YMw4cPJygoiKJFi+Lv75+iVzIwMBCdTseCBQsYM2YMR44cYdasWWk+j/Sk1eo49tMt4hO0b62rKPDd0Su8kBAnhMhBZExBpDtFUdBo/v3H8smTJ5w5c4avvvoKNzc3fU/c61y4cIEZM2YQGxtLVFTUW+fLTZ06lS1btgDg7++Pk5MTAFFRUbx48YJixYq9U/t37dqFVquldevWADRq1Ii8efPy9ddfU7ly5Tdua2VlRWBgIKamptSsWZPt27dz//59tmzZgo2NDV5eXpw+fZqffvopze2xs7OjRIkSAJQvX55ixYqRkJDA8+fPmTRpEs2bNwfA3d2d58+fM2fOHB48eIC9vb1+rtvrhk1Xr17N48eP2bNnjz5Ye3l50atXL7744gt8fHxQq5P+znNycmL27Nn6bX/++Wf27t2b5vNID1FRUcTHxxOfoOHS79ewVMemqKNRTEhQchuU/XUrmkStQu4UtYUQwjhJgBPp7scff0xxUYBarcbT05Pp06e/NZBt3rwZLy8vunTpwsCBA5k6dSpz5859bf1OnTrRqlUrTp8+TUhICA8ePGD69On64KHVvr2X5mXffvstNWrUwMLCgpiYGAAaNmzI7t27GTduHHny5Hnttq6urpia/vu1KliwINbW1gY9iPny5ePPP/98pza9yszMjJUrVwJJQ6DXr1/n6tWrfP/990DShSNpcebMGapUqZKiV7RVq1aMGzeOq1evUrZsWSBlCLS3tycuLi7NbQ4LCyMsLCxFeWRkZJq2j42NJSgoCEVR9GUVrFPWUxS4+KwSGuXfz0FFzr+NihDiwyIBTqS7ihUrMm3aNABUKhW5c+fGwcHBYJjyTby8vFi8eDFmZmZ0796d9evXU7NmTf2Q5qtcXV2BpB4oRVH46quv8Pf3x97eHisrqzfOuYuNjSUhIUE/v+7333/nt99+A5IuvHjV9u3b6dmz52v3l9o5vm749n0dP36cWbNmcfXqVaysrHB2dtZfKftyyHmTJ0+epNpDWaBAAQB9gIWU56FWq9N8HAAfHx98fHxSlPv5+aVpe0tLSwYPHkx8fDxanY5zlyPZtO+PFPU0iolBeANwdrQll6nMGBFC5BwS4ES6s7KywsXF5T9v37RpU8zMzAAYNWoUJ0+e5H//+x9ubm6UKlUKgL/++ouff/6Z9u3bG2zr4uKCoijcu3cPe3t7ateuTUREBC9evCB37pQDaNu2bWPmzJls2rSJKlWqsHXrViwsLPjqq6/0PXjJpk2bxubNm98Y4P6rV3sJY2NTDg2+7MaNG/j7++Pt7c2yZcv0Q6wbN27k+PHjaT5u3rx5U70Q4cGDBwDY2tqmeV+Z4eX2FCxYmI2H7xL34s1z29QqaFWnNLnlxr5CiBxE/iQV2Zq5uTnz5s0jMTGR4cOH668wvXjxIuPHj08xl+z48eOYmZlRunRpAD799FOio6MJDAxMse9Hjx6xYsUKHB0dcXNzIyEhgV27dtGgQQM8PT3x8PAweLVr144rV65w5syZdD1Ha2tr7t27Z1D26nm9GiZ/+eUXXrx4Qf/+/fXhDdCHt+SesVe3e1WNGjU4f/58ihsa79y5k4IFC+Lo6PhuJ5OJFAX6tKz41nrt6peVpzIIIXIcCXAi26tQoQKDBw/m8uXLfPHFFwA0b96cMmXKMHLkSLZv384PP/zAtGnTCA0NZdCgQfp5am5ubgwdOpTVq1fTt29fwsPDOXXqFOvWraN9+/b6e9OpVCoOHjxIdHQ0LVq0SLUdrVq1wsTEJE23FHkX9evX58cffyQ4OJjTp08zZ84cTp06ZVAn+XwOHDjAlStXqFixIqampsydO5cTJ07w/fffM3jwYI4cOQL824OXvF1YWFiqT53o3bs3+fLlo3fv3uzYsYOjR48yfPhwTp8+zfDhw98aALOSeW5TvKoWY2B7V8zNUgY0UxM1nRs60bmRs9wDTgiR48ivmjAKffv25ejRo6xfvx5PT0+8vb1Zu3YtgYGBBAYGEhUVRZkyZZgzZw5t2rQx2HbAgAFUqFCBjRs3Mnv2bKKjo7G3t6du3br4+flRpEgRIGk4NW/evNSpUyfVNhQqVIiaNWuyf/9+Hj16RP78+dPl3Pr378/jx49ZtWoViYmJ1KtXj5kzZ+pvHQJJNx6uWbMm8+fP59SpU4SEhDB//nwWL17MgAEDyJs3L25ubqxfvx5fX1/Onj2Ls7MzjRs35rvvviMgIIAOHTowdepUg2MXLFiQ0NBQ5s+fz8yZM0lMTKRcuXIsXboUb2/vdDm/jGSe25T61YpTv3pxjpy7xS9XHqJToGzxfDTxcEStVmEuT2EQQuRAKuVdZiELIUQ68/PzIzg4+L33o9HqSEhMmkuYy9RELloQIp2k13dUpC/501QIkSOYmqgxNZHQJoT4MMivnRBCCCGEkZEAJ4QQQghhZCTACSGEEEIYGQlwQgghhBBGRgKcEEIIIYSRkQAnhBBCCGFkJMAJIYQQQhgZCXBCiBxDURQUndybXAiR80mAEyKbu3LlCtOnT6dJkyZUrlyZatWq0blzZzZu3EhiYqK+XoMGDXB2djZ4ubi40KhRI+bPn8+LFy8AuH//Ph4eHrRs2ZKEhIQUx9u4cSPOzs4cOHAgxbpnz57RoEEDtm3blnEn/B8pikLCCw3xcYnoJMQJIXI4eRKDENlYeHg448aNo3Tp0vTu3ZtSpUoRHx/P0aNHmT17NseOHSM4OBiVSgWAl5cXAwcO1G//4sULIiIiWLp0Kbdv32bBggUUKlSIGTNmMGjQIObPn8+4ceP09X/99VfmzJlD9+7dadSokUFboqOjGTBgALdv386ck38HyeFt7dJTJLzQ8umQWphb5EKtVmV104QQIkNIgBMim7py5Qrjxo2jZs2aBAUFYWr679fVy8sLDw8PhgwZwu7du/Hx8QHAzs4ONzc3g/14eHhw7949tm3bRkBAAIUKFaJRo0Z06NCBtWvXUq9ePTw9PXn69ClDhw6lbNmyjB071mAfBw8eZObMmcTGxmb4eb+rl8PbvdsxAKxadEJCnBAiR5MhVCGyqRUrVqBWq5kxY4ZBeEvWpEkT2rRpg1r99q9xpUqVUBSFu3fv6ssmTJhAiRIlGDt2LDExMUyePJnHjx8TGBiImZmZvl5MTAyDBw/G3d2dFStWpM/JpZPUwhvA44fPWbXohAynCiFyLOmBEyKbOnToEB9//DH58+d/bZ3PP/88Tfu6du0aAMWLF9eXWVpaMm/ePD755BN69uzJb7/9xty5cylZsqTBtubm5uzevZvSpUtz69atdz+RDPK68JYsOcRJT5wQIieSACdENvTkyROePHmSIkwBaDQag2WVSoWJiQmQFGpeXv/o0SOOHTvG119/TbNmzbCzszPY1tXVlV69erFixQrq169Pq1atUhzPzMyM0qVLp8NZvb+oqCji4+NRFIXEBC1hW37m4f3nhmMJigkqJTcgIU4IkXNJgBMiG9LpdKmWX79+ncaNGxuUFS1alMOHDwOwY8cOduzYYbDe1NSURo0aMXXq1BT7S74gQqVSERERwT///JNqaEwPYWFhhIWFpSiPjIxM0/axsbEEBQWhKK8MiVq/UlEB5VllVErSz1vs8wTiYhMwy22CWm3yX5ouhBDZjgQ4IbIhW1tbLC0tU1zx6eDgwNatW/XLS5Ys4c8//9Qv169fH39/fyCpZ87CwoKiRYtibm6e6nFmzJjBtWvXCAoKYsyYMYwaNYrQ0FBy5cqV7ufk4+Ojv9jiZX5+fmna3tLSksGDBxMfHw+AVqsj7nkCO0IvEPv839upJPXAJf20mVvk4tMhtchra4GpqYQ3IUTOIQFOiGzK29ubw4cP8+zZM6ytk7qZzMzMcHFx0dfJly+fwTb58uUzWP8m4eHhbNmyhREjRtCoUSPGjx/PxIkTCQoKYsSIEel2HunJ1tbWYFmr1dFvqD0rF/7As6cvDNYlh7d8dhLehBA5j1yFKkQ21b9/f7RaLePHj0/1hrvx8fHcvHnzP+375s2bTJo0CXd3d/r27QtAx44d8fb2Zvny5fz444/v1fbMYmKixjpPbvoMrY21TW59uYQ3IUROJwFOiGzqo48+Yv78+Zw4cYI2bdqwZs0aTp06xfHjx1m0aBGNGzfm/PnzqQ5LvkliYiLDhw/HxMSEuXPnGtyGZMaMGdjZ2TFmzBhiYlJe2ZkdvRriJLwJIT4EMoQqRDbWsGFDdu7cSWhoKFu3buX27dsoikLx4sVp3rw5Xbp0eeeLDubNm8elS5dYtGgR9vb2Buvs7OyYNWsW/fr1Y8qUKQQGBqbj2WScl0NcYqJWwpsQIsdTKSku6RJCiMzj5+dHcHBwuuxLq9Wh6BRMc0l4EyK9pOd3VKQf6YETQuQYJiZqkOwmhPgAyBw4IYQQQggjIwFOCCGEEMLISIATQgghhDAyEuCEEEIIIYyMBDghhBBCCCMjAU4IIYQQwshIgBNCCCGEMDIS4IT4wMm9vIUQwvhIgBMiizRo0ICAgIBMPea2bdtwdnbm1q1bAPz999988skn77wfX19ffH1907t570Wn0aAoiv6l02iyuklCCJFh5EkMQmSRxYsXY21tnanHrFevHps3b6ZQoUIA7Nmzh/Pnz2dqGzKKysSEk2066Jdr7tiaha0RQoiMJQFOiCxSoUKFTD+mnZ0ddnZ2mX5cIYQQ6UuGUIXIIslDqLdu3cLZ2Zk9e/YwZMgQqlSpQo0aNZgwYQLPnz/X19dqtWzcuJGWLVvi6upKvXr1mDdvHi9evNDXefz4MaNGjaJWrVq4uLjQunVrduzYoV//8hBqUFAQixcvBsDZ2ZmgoCAAXrx4wZIlS2jatCkuLi40btyYkJAQdDpd5rwxQggh3kp64ITIJqZMmUL79u1ZunQpP//8M4GBgdjZ2TFy5EgAJk+ezI4dO/jss89wd3fnt99+Y8mSJVy+fJkVK1agUqkYPXo0jx49Ytq0aVhZWbFz507Gjh2Lg4MDHh4eBsfr2LEj9+7dY+vWrWzevBl7e3sURcHPz48LFy7g7+9P+fLliYiI4Msvv+TmzZtMnz49K96aVOk0GlQm/z65Xhsba7BeGxuLiaWlflnRalGbyk+eECJnkF8zIbIJLy8vxo4dC4CnpycnTpzgyJEjjBw5kr///putW7cybNgwBgwYAECtWrUoVKgQY8aM4dixY3h5eXHmzBkGDhxIw4YNAfDw8CBfvnyYvBR0ktnb22Nvbw+Am5sbAEePHuXkyZPMnTuXVq1a6Y9jbm7OwoUL6dmzJ2XLls3ot+K1oqKiiI+PB5Kunr04YoxhBQsLTLVaLBMSiOjaw2CVzIkTQuQkEuCEyCaSQ1Qye3t7bt++DcCZM2cAaNmypUGdFi1aMG7cOCIiIvDy8sLDw4OgoCB+//13vLy8qFu3rj4UpsWZM2cwMTGhefPmBuWtWrVi4cKFRERE/OcAFxYWRlhYWIryyMjING0fGxtLUFCQ4W1Pyn+Uop5KUajz82+YabX/qZ1CCGEMJMAJkU1YWFgYLKvVan1YefLkCQAFCxY0qGNqaoqtrS1Pnz4FIDAwkODgYPbs2cPevXtRq9XUrFmTqVOnUrx48be24cmTJ9ja2mL6ylBj8nGTj/Nf+Pj44OPjk6Lcz88vTdtbWloyePDgN/fAAaZarYQ3IUSOJwFOCCOQN29eAB48eECxYsX05YmJiURFRWFrawuAjY0No0ePZvTo0Vy9epVDhw6xdOlSpk2bxooVK9J0nKioKDQajUGIu3//PoD+OFnl5ePrNBocQtfrl7WxsQbDph6b1qWYA6eSOXBCiBxCrkIVwgi4u7sDsGvXLoPy3bt3o9VqqVatGrdv38bLy4u9e/cCULp0afr27UvNmjW5d+9eqvtVqw1/Atzd3dFqtYSHhxuU79y5E4Bq1aqly/mkB7WpKSqVSv96OawBmFhaGqyXCxiEEDmJ/KIJYQTKli1L27ZtWbx4MfHx8Xh4eHD58mUWL16Mh4cHderUQa1WY29vz4wZM3j27BklSpTgl19+4ejRo/Tv3z/V/ebJkwdImp9WuXJl6tati4eHB1OmTOH+/ftUqFCBM2fOsHz5ctq2bZulFzAIIYT4lwQ4IYzEzJkzcXR05Ntvv2XlypUUKlQIX19f/P399T1pixcvZsGCBSxcuJCoqCgcHBwYNGgQ/fr1S3WfjRs35rvvviMgIIAOHTowdepUli1bxqJFi1i3bh2PHz+mWLFiDB8+nN69e2fm6QohhHgDlSJPshZCZCE/Pz+Cg4Pfez+v3hdO7vsmRPpIr++oSF/y6yaEyBFeDWtywYIQIieTixiEEEIIIYyMBDghhBBCCCMjAU4IIYQQwshIgBNCCCGEMDIS4IQQQgghjIwEOCGEEEIIIyMBTgghhBDCyEiAE0IIIYQwMhLghMhivr6+ODs706VLl9fWGT58OM7OzgQEBADQoEEDnJ2dGTly5Gu36dSpE87OzgQFBenLXl1+2a1bt3B2dmbbtm0Gx3jTK7k92YFWq0Oj0ZLwQpPVTRFCiAwntyoXIhtQq9VcuHCBu3fv4uDgYLAuLi6OI0eOpLrN4cOHefHiBblz5zZYd+vWLS5evPhebVq8eDEJCQn65UGDBlGhQgUGDhyoL7Ozs3uvY6QXrVbH0yfxrA46SdO2FSnjXBCz3PLzJoTIuaQHTohsoEKFCuTOnZu9e/emWHf48GFy585N4cKFDcqrVq1KbGwsR48eTbFNeHg45cuXf+82ubm56V9mZmbY2dkZlJUoUeK9jpEeksPbykUneBoTz9Z157jyxwPpiRNC5GgS4ITIBiwtLfHy8mLPnj0p1oWHh9O0aVNMX3m2Z/HixalUqdJrt2nRokWGtTe7eDm8PX/6AgBFQUKcECLHkwAnRDbRvHlzLl68yJ07d/Rlz54949ixY/j4+Lx2myNHjhAfH68vu3r1Kr///jvNmzfP8DZnpdTCWzIJcUKInE4CnBDZRL169bC0tDQYRj1w4AB2dnZUq1Yt1W2aNWtGXFycwTBqeHg4VapUoWjRohne5swWFRXF3bt3uXXrNlf+uk7Ion08ex6Foo7996VKpScuQUKcECJnkVm+QmQT5ubmNGjQgD179vDpp58CsHv3bpo3b45KpUp1myJFiuDm5saePXto0qQJkBTgunXr9p/b8bpjva+wsDDCwsJSlEdGRqZp+9jYWIKCglAU5d9CFWD9SkUFlGeVUSmmKAoc2fsHThULI4QQOYkEOCGykWbNmuHv78+tW7ewsrLi1KlTDBs27K3bfPnll8TFxXH9+nX++ecfmjZtmmpdS0tLgytLX5ZcbmFh8V7n8Do+Pj6pDgX7+fmlaXtLS0sGDx6sHy7WJGo5duBP/v79oWFFxQSVkvTTlr+QFb0G1USdQaFUCCGyigQ4IbKRunXrYmNjw759+7CxsaFYsWJUqlTpjds0bdqUOXPmcPToUS5fvszHH39M/vz5U61boEAB7t+/n+q65J6wAgUKvN9JZCBbW1uD5U6+Duz65iK/nL+Tom7+QlZ8OrgW5ua5UKklwAkhchYJcEJkI2ZmZnh7e7N//34sLS3TdCVp4cKFqVatGvv37+eXX36hf//+r63r7u7OkSNHePbsGdbWhmOPe/fuxcrKChcXl/c+j8ySy8yElp0qAxiEOAlvQoicTi5iECKbSb4aNSIiIs23AmnWrBn79+/n7t27NGrU6LX1/Pz8SEhI4JNPPmHbtm2cPXuW77//nkmTJvHNN98wZsyYFDcFzu6SQ1ylKkUACW9CiA+D9MAJkc3UrFmTPHny4ODgQJkyZdK0TdOmTZk5cyb16tUjT548r61XvHhxvv32W7766isWLVrEw4cPsba2ply5cgQHB+Pl5ZVep5GpkkNcXlsLatYvI+FNCJHjqRSDS7qEECJz+fn5ERwcnC77SkzUYmqilvAmRDpKz++oSD/SAyeEyDFy5TLJ6iYIIUSmkDlwQgghhBBGRgKcEEIIIYSRkQAnhBBCCGFkJMAJIYQQQhgZCXBCCCGEEEZGApwQQgghhJGRACeEEEIIYWQkwAkhhBBCGBkJcEIIo6VoNSiKDkWbaFiuKCg6LbrE+CxqmRBCZCwJcEIYKV9fX5ydnenSpctr6wwfPhxnZ2fGjh1L9+7dqVSpEn/99VeqdUNDQ3F2dmbjxo0ANGjQAGdnZ/2rXLlyeHh44Ofnx++//54h5/QuFK0GTcxDbi0bRuKTh/oQpygKyos4bq8ZR9w/v0iIE0LkSBLghDBiarWaCxcucPfu3RTr4uLiOHLkCAAqlYpZs2ZhamrKxIkT0el0BnXv3bvHvHnzqFWrFl27dtWXe3l5sXnzZjZv3syGDRuYMmUKDx8+pGfPnjx69ChDz+1NksPb7TXjSHx0mztrAv4/xGlRXsRxZ8MkEu5eIXLL5xLihBA5kgQ4IYxYhQoVyJ07N3v37k2x7vDhw+TOnZvChQsDUKJECYYNG8aFCxfYsGGDQd2pU6eiVquZNWsWKtW/D4K3s7PDzc0NNzc3qlevTvPmzQkMDCQ6OjrVY2YaRSH65A50sTEA6OKecWdNALFXfkoKb5H//H89HVFHQ1GZ5Mq6tgohRAaQACeEEbO0tMTLy4s9e/akWBceHk7Tpk0xNTXVl/Xo0YNq1aoRGBio77XbvXs333//PZMnT8be3v6tx8yXL1+6tf+/UpnmIn/j3lg5f6wv08U9I3LLnH/DG5CrYHEcuv8PVPJTJ4TIWeRXTQgj17x5cy5evMidO3f0Zc+ePePYsWP4+PgY1E3uZdPpdMyZM4dnz54xe/ZsmjZtSsuWLVPsW1EUNBoNGo2GhIQE7ty5w8yZMylQoADNmjXL8HN7VVRUFHfv3uXu3btEPnyMxqMTsSXceaRY6F9PFTMgKbwV6TETdW5Lg15FIYTICUzfXkUIkZ3Vq1cPS0tL9u7dy6effgrAgQMHsLOzo1q1ainqlyxZkmHDhjFnzhz9PLapU6emuu8dO3awY8cOgzKVSsXcuXOxs7N7p3aGhYURFhaWojwyMjJN28fGxhIUFISiKKms/ejf9qHQweQ3Cnt9gjpXbglvQogcSQKcEEbO3NycBg0asGfPHn2A2717N82bN39teOnZsyf79u3jxx9/JCQkBFtb21Tr1a9fH39/fyCpN+7x48fs2bOHUaNGERcXR6dOndLcTh8fnxQ9ggB+fn5p2t7S0pLBgwcTHx+vb4+S8IIH4UtJfPzvRRxmaDFXaXmw+yuK9JpNrrwFZA6cECLHkQAnRA7QrFkz/P39uXXrFlZWVpw6dYphw4a9tr5araZWrVqcP38eLy+v19bLly8fLi4uBmX16tXj/v37zJ07l/bt22NiYpJep/FWyUEz+VYhdzZMIk/UP5BKTtXFPeXOmnES4oQQOZLMgRMiB6hbty42Njbs27ePAwcOUKxYMSpVqpRhxytXrhwxMTFERUVl2DHeSNHxcG9IigsWSgxZjlU5T32ZLu4p976eCerMC5lCCJEZpAdOiBzAzMwMb29v9u/fj6WlJS1atMjQ4128eJG8efO+dug1w6nU5G/al4QHN0i4f93ggoWCrQYD8Pz3U6jNrbHvPA60WjCVv1eFEDmHBDghcojmzZvTv39/1Go1EydOTJd9Pn78mAsXLuiX4+Li2LFjB+fOnWPEiBGZOnz6MpVKhTq3JQ6+03m4ZxkFmvXXX22qypWbgq0Goza3Iu/HrciVtxAqUxk+FULkLBLghMghatasSZ48eXBwcKBMmTLpss+jR49y9OhR/bKlpSWlSpViypQpBk9syArJIa5Q66GgUhtcsKHOlZsCTT5LqifhTQiRA6mU1K/JF0KITOHn50dwcHBWN0MI8RryHc2eZFKIEEIIIYSRkQAnhBBCCGFkJMAJIYQQQhgZCXBCCCGEEEZGApwQQgghhJGRACeEEEIIYWQkwAkhhBBCGBkJcEIIIYQQRkYCnBDC6Ok0GhRFMXjpNJqsbpYQQmQYCXBC5GARERE4OzsTEREBQFBQEM7OzlncqvSnMjHhZJsOBi9VFj2nVQghMoM8C1WID0jHjh2pU6dOVjdDCCHEe5IAJ8QHxN7eHnt7+6xuhhBCiPckQ6hCZFOTJk3i448/RvPKXK65c+fi7u5OQkICBw8epGvXrlSpUoVKlSrRtGlTNmzY8Np9vjqE6uvry4QJEwgJCaFevXq4uLjQpUsXLl68aLDdn3/+Sf/+/alatSpVq1bF39+fmzdvpu8Jv4NX57xpY2NT1NHGxsqcOCFEjiU9cEJkU61bt+abb77h1KlT+mFPRVEIDw+nadOmnDx5En9/f3r06MHgwYOJj49nw4YNTJ8+nQoVKlC1atU0HWffvn2UKVOGiRMnoigKn3/+OUOGDOHw4cOYmJhw7do1unTpQunSpZkzZw5arZavvvqKTz75hO+++478+fNn5NuQquQ5b28S0bWHwXLNHVszsklCCJGpJMAJkU1Vq1aNYsWKER4erg9w586d486dO7Ru3Zrz58/Tpk0bJkyYoN+mSpUqeHh48OOPP6Y5wGk0GlauXIm1tTUAz58/Z+zYsVy+fJlKlSqxePFizM3NWbNmjb6Op6cnDRs2ZMWKFYwdOzadz/z1oqKiiI+PR1EUYiwsUqw31WqxTEjItPYIIURWkQAnRDalUqlo1aoV69evZ9q0aZiZmREWFkbx4sWpVq0a1apVAyA2NpYbN25w7do1Ll26BEBiYmKaj1O2bFl9MAMoXLgwAHFxcQCcPn0aDw8PzM3N9cO51tbWVK9enZMnT6b5OGFhYYSFhaUoj4yMTNP2sbGxBAUFoShKUkH5j1LUUSkKdX7+DTOtNs3tEkIIYyQBTohsrE2bNixdupRjx45Rr1499u7dS9euXQF4/PgxU6ZM4eDBg6hUKhwdHfWhTh9y0sDilZ4stTppaqxOpwMgOjqa8PBwwsPDU2xrZ2eX5uP4+Pjg4+OTotzPzy9N21taWuqHihVF4eKIMSnqmGq1Et6EEB8ECXBCZGOOjo64ubmxZ88ecuXKRVRUFK1atQJg1KhRXLlyhdWrV1O1alXMzMyIi4tjy5Yt6doGGxsbatasSe/evVOsMzXN3J8QW1tbIOkiBofQ9fpybWxsijlvHpvWYWJpqV9WtFpUmdxeIYTIKPJrJkQ216pVK7788kvUajVubm6ULFkSSJoP17lzZz7++GN93WPHjgH/9p6lB3d3d/7++2/Kly+vD2yKojBq1CgcHR0pX758uh0rrdSvBLGXg9rLZSqVSr8s4U0IkZPIbUSEyOZatGhBXFwcu3fv1ve+Abi6urJr1y6+++47IiIiCA4OJiAgAJVKpZ+/lh4GDhzIjRs36N+/PwcPHuT48eMMHjyY3bt3U65cuXQ7jhBCiLSTACdENpcvXz68vLxQq9U0b95cXz5nzhwqV67M9OnT8ff35+DBg0ybNo3atWtz9uzZdDt+uXLl2LhxIyqVijFjxjBkyBAePHjAkiVLaNy4cbodRwghRNqplHeZ7SyEEOnMz8+P4ODg99qHTqNJ8exTRatNMdQqhHh36fEdFelPft2EEEYvtaAmc96EEDmZDKEKIYQQQhgZCXBCCCGEEEZGApwQQgghhJGRACeEEEIIYWQkwAkhhBBCGBkJcEIIIYQQRkYCnBBCCCGEkZEAJ4QQQghhZCTAGRlfX198fX3fWCcoKAhnZ2eDl6urK40bN+bzzz8nJiYm1fpr1qxJdX8BAQE0aNDgndp56NAhnJ2dU5TrdDpWrlxJo0aNcHFxoWnTpqxdu5ZXHwhy8OBB2rVrh5ubG/Xr12fRokUkJCS89nizZ89O9X2JjY3l888/p0GDBlSpUoXOnTtz6tSp/9Sm15k+fTqBgYEGZfHx8axZs4bOnTvj4eGBi4sLjRo14n//+x937941qPuunxdAVFQUs2fPpmHDhlSqVAl3d3d69uzJvn37Um1jTEwMixcvpmXLllSpUgVPT0969OjBoUOH3nhuqb2vCQkJNGnShAsXLqTh3RFCCJER5FblOdjmzZsBUBSF2NhYLl26xPLly/n+++8JDQ3F1tbWoH5gYCD169fH0dHxvY576tQpRo0aleq6OXPmsHbtWrp06UKjRo24efMmCxcu5Pbt24wfPx6Ao0ePMmjQINq1a8eoUaO4evUq8+fP58GDB0yfPj3FPkNCQlizZg3u7u4p1k2ePJmDBw8yfPhwypYty+bNm/nss8/YuHEjbm5uaW7T65w+fZr9+/cbBKfIyEg+++wz7t69S9euXfH398fc3Jzff/+dtWvXsnv3bjZt2kSZMmUM9pXWzys+Pp5u3bqh0Wjo27cvJUuW5OnTp+zZs4chQ4Ywbtw4evXqpd/vlStX6Nu3Lzqdjh49elCuXDliY2PZvXs3AwcOxN/fnyFDhqT5fTUzM2PkyJEEBATw3XffkTt37je+RxlJo9Nionrz36FaRYep2uSNdYQQwthIgMvBkgNKslq1auHp6Um3bt2YP38+M2bMMFhvZmbGuHHj2LBhA2r1u3fOPnv2jGXLlrFy5UpsbGyIjY01WP/48WM2bNhAp06dmDZtmr68SJEi+Pn50blzZ8qUKcOyZctwdXVl1qxZANSsWZOoqCiCg4MZN24clpaWANy8eZM5c+bw/fffY2Njk6I98fHxhIeH069fP3r27AmAh4cH3t7ebN68GTc3tzS36XVmz55Njx499G1SFIUxY8Zw9+5dtm7dSsmSJfV13d3dadWqFW3btmXWrFmsXLnSYF9p/bz27t3LlStX2Lt3L6VKldLXb9iwIfHx8QQFBeHr64uJiQmJiYkMGzaMXLlysWnTJvLnz29QP1++fCxZsgRvb28qVqyYpvcVoHHjxixcuJDQ0FCDsJjZTFRqOn8z8I11NndamkmtEUKIzCNDqB+YypUr07BhQ3bs2EFcXJzBuoCAAM6dO8f69ev/0763bt3K1q1bmTx5Mt27d0+x/p9//kGr1VK/fn2D8ho1aqDT6Th+/DiQ1CM2Z84cgzq5cuVCq9Wi0Wj0ZbNnz+bGjRusXbuW8uXLpzheYmIiOp0Oa2trfZmpqSk2NjZERUW9U5tSc+TIEf744w98fHz0ZWfPnuX06dMMHz7cILwly5cvH0OGDKFYsWLodLrX7jtZap/Xw4cPAVId4u3fvz8DBw7UDzcfPXqUP//8k6FDhxqEt2SDBg2iW7duaLVafdnb3tdkLVu2ZNWqVW8c2hZCCJExJMB9gGrXrk1iYiKXLl0yKG/fvj1169YlMDCQ69evv/N+GzRowOHDh+nSpUuq6+3s7AC4ffu2QfmNGzcAuHXrFgAlSpSgdOnSADx9+pR9+/axatUqWrZsSZ48efTbDRs2jJ07d1KjRo1Uj2djY0OHDh1Yt24d58+fJyYmhlWrVvHXX3/RqlWrd2pTanbu3ImbmxsODg76soMHD6JSqWjRosVrt2vbti3Tpk1Lcy/nq59XnTp1MDU1pWfPnixevJgLFy6QmJgIgKurK3369MHCwgKAY8eOYWJigpeXV6r7zp8/P5MnT8bV1VVf9rb3NVmzZs2IjIzkzJkzaToPIYQQ6UcC3AeoYMGCwL89OS+bPn06pqamjB8/Ps2T+JOVKFFCHxxSU7JkSapWrcrixYs5cOAAT58+5bfffmPChAmYmZmlGHKNjIykevXqDBkyBBsbGwYPHmyw3snJCZVK9cY2DRkyhAIFCtClSxdq1KjB559/zpAhQ2jevPl/atPLTp8+jYuLi0HZjRs3yJcvH/ny5TMoT+49fPmV1vf31c/L2dmZwMBAdDodQUFBdO7cmerVq9OnTx/Cw8MNto2MjMTW1hYrK6s0HQvS9r4CODo6kjdv3hQXhWSkqKgo7t69a/AyjzfVv3IlyFw3IcSHQebACQP29vaMHTuWiRMnsn79enr06GGwXlEUg+E2ABMTkzT9gw9JV1xOnjyZQYMGAZAnTx5Gjx7N0qVL9fPIkllYWLBmzRqePXtGcHAw7du3JzQ0lLJly6bpWI8ePaJTp06YmpryxRdfULhwYY4ePcqSJUuwtLSkd+/e79ymZHFxcTx69IhixYoZlL8ulHXv3p2ffvrJoGzdunV4eHik6Vxe1bhxY+rXr8/p06c5efIkERERnDx5kh9++IG9e/eycOFCVCoVKpUqxeeVnooUKfLGXsqXhYWFERYWlqI8MjIyTdvHxsYSFBSU4j0uQwH9fyso/FH2PlrTd/vjQwghjI0EuA9Q8j+Y9vb2qa7v2LEje/fuZcGCBdSrV89g3ZkzZ1KEuncJIgUKFGDp0qXExMRw//59SpQogVqtZurUqeTNm9egbp48efD09ASSLgDw9vZmzZo1KS6+eJ0tW7Zw9+5d9u3bp5+P9vHHHwMwf/582rRpg62t7Tu1KVnyrT1eDXhFixblyJEjPHv2zGDu3cyZM3n+/DkAv/76K1OmTEnTOcDrP69cuXJRp04d6tSpA8D9+/eZMWMG+/bt48iRI9SvX59ixYpx9OhRnj9//tpeuLt37xoMA78LCwsLnj17lqa6Pj4+BvMFk/n5+aVpe0tLSwYPHkx8fLy+TFEUAg7M1i9r1YqENyHEB0GGUD9AJ0+exNLSUn/VYWpmzJiBiYkJEyZMMOjxqFixov5iheTXm/bzqt27d/P777+TJ08eypYti5mZGZcvX0ar1VKhQgU0Gg3h4eH89ttvBtvlzZuXEiVKpLiH2pvcuXOH/Pnzp7iYwN3dncTERP08t7e1KTXJt/R49R5t3t7eKIrC/v37DcpLly6Ni4sLLi4uBleOpsWrn1eXLl0YN25cinqFChXSh9u///4bSJo/96aLMaKjo2nUqBGTJ09+pzYli4mJSTFcnJFsbW1xcHAweMWba/SvRLOM620UQojsRALcB+by5cscPHiQ9u3bv/H+XQ4ODowdO5YzZ84Y3OzV2tpaH0SSXy/3NL3NV199RUhIiEHZmjVryJMnDx4eHpiamjJ37lzmzZtnUOfOnTtcuXKFcuXKpflYpUuX5vHjx1y9etWg/KeffkKtVlOkSJE0tSk1ZmZmFCxYMEWg9PT0xN3dnblz56Y4brK//vorzeeQ2udVtGhR9u7dy82bN1PUv3btGpA0jw2SApyTkxOBgYE8fvw4Rf0FCxaQmJhImzZt0tymZIqiEBkZSdGiRd95WyGEEO9HhlCN0L1791J9akLZsmWpXbu2fjn5TvmKovD8+XMuXbrEmjVrKFmyJEOHDn3rcTp16sTevXs5ceKEwdWf78PX15cpU6ZQtmxZqlatSnh4OGFhYUydOlUfBAcNGsT48eOZOHEizZs35/79+yxZsoR8+fLx6aefpvlYHTp0YMOGDfTt25fBgwdTuHBhTp48yapVq+jWrZv+4oC0tCk1tWrVSjGvTaVSsWDBAgYMGEC7du3o2LEjH3/8MTY2Nvzzzz+EhYURERFB5cqVU/QMpvXzGj58OBEREXTo0IEePXpQpUoV1Go1ly5dYtWqVdStW5e6desC6Of/ffrpp7Rv356ePXvi7OxMVFQUO3bs4OjRowwbNoyqVaum+X1N9scff/D06VP9EG5W0Cq6t97nTavoMFXJxQ1CiJxFApwRunHjBrNnz05R3rZtW4MA17lzZ/1/58uXjyJFitCnTx+6du2a5l6zGTNmpDpv6b/q3Lkz8fHxbNiwgZCQEEqVKsX8+fMNjtG+fXssLS1Zvnw5YWFhmJubU7duXUaOHJnqvcxex9ramk2bNjF//nzmzJlDfHw8jo6OTJkyhY4dO75Tm1LTpEkTdu3axf379ylUqJC+vGDBgoSGhrJjxw527drF7t27iYmJwc7ODjc3N5YuXUqDBg1SXPiR1s+rWLFibN++nWXLlrFr1y6WL1+Ooig4OjrSp08fevToYbDv8uXLs3XrVlavXk1oaCiRkZFYWlri5ORESEjIa28x8jbHjh2jYMGC/yn8pZe0PGFBwpsQIidSKe96rwghBJDUU9a6dWuaNGmCv79/VjcnUymKQuPGjenWrdt7P4nBz8+P4ODg9GmYECLdyXc0e5I5cEL8RyqVilGjRhEaGprmKzFzij179qDT6V5702YhhBAZSwKcEO+hbt26eHt7s2zZsqxuSqZJSEggMDCQzz//HHNz86xujhBCfJBkDpwQ72natGlZ3YRMZWZmxoEDB7K6GUII8UGTHjghhBBCCCMjAU4IIYQQwshIgBNCCCGEMDIS4IQQQgghjIwEOCGEEEIIIyMBTgghhBDCyEiAE0IIIYQwMhLghBBCCCGMjAQ4IYQQQggjIwFOCCGEEMLISIATQgghhDAy8ixUIUSWunnzJn5+fmmqGxkZSeHChTO4RSKt5PPIfjLiM7l582a67k+kD5WiKEpWN0IIIdLCz8+P4ODgrG6G+H/yeWQ/8pl8OGQIVQghhBDCyEiAE0IIIYQwMhLghBBCCCGMjAQ4IYQQQggjIwFOCGE0fHx8sroJ4iXyeWQ/8pl8OOQqVCGEEEIIIyM9cEIIIYQQRkYCnBBCCCGEkZEAJ4QQQghhZCTACSGEEEIYGQlwQgghhBBGRgKcEEIIIYSRkQAnhBBCCGFkJMAJIbK9Y8eO0a5dOypXrkz9+vVZtmwZcgvLrBEXF0f58uVxdnY2eLm4uGR10z5Id+/epXr16kRERBiUX716lX79+lGtWjU8PDwYP348MTExWdRKkRFMs7oBQgjxJj/99BMDBw6kWbNmDBs2jHPnzhEYGIhOp2PAgAFZ3bwPzh9//IFOp2PBggUULVpUX65WS39AZrt9+zZ9+vTh6dOnBuUxMTH06tWLQoUK8cUXX/Do0SPmzp3LvXv3WLVqVRa1VqQ3CXBCiGxtyZIllCtXjrlz5wJQt25dNBoNISEh9O7dG3Nz8yxu4Yfl8uXL5MqVi8aNG5MrV66sbs4HSafTsX37dr744otU14eGhhITE8OOHTuws7MDoHDhwvTr14+zZ89SvXr1zGyuyCDyJ5MQIttKSEggIiKCxo0bG5Q3adKE2NhYzp49m0Ut+3BdvnyZsmXLSnjLQn/88QdTp06lTZs2qYa4H374gWrVqunDG0CdOnWwsrLi2LFjmdlUkYEkwAkhsq2bN2+SmJhIyZIlDcodHR0B+OeffzK/UR+433//HbVaTe/evXFzc8Pd3Z3Jkyfz7NmzrG7aB8PBwYEDBw4wbty4VHugr1y5QqlSpQzK1Go1xYoVk+9MDiJDqEKIbCt50rW1tbVBuZWVFYCEhkym0+n4888/UavVjBo1ioEDB3Lp0iUWL17M33//zYYNG2QuXCbIly/fG9fHxMTovyMvs7Kyku9MDiIBTgiRbel0OgBUKlWq6yUsZC5FUVi2bBkFChSgTJkyANSoUYMCBQowevRojh8/jpeXVxa3UkDq3xlFUV77XRLGR379hBDZVp48eYCUPW3Pnz8HUvbMiYxlYmKCh4eHPrwlq1evHpA0N0tkPWtr61R72mJjY7GxscmCFomMIAFOCJFtlShRAhMTE65fv25QnrxctmzZrGjWBysyMpJvvvmGe/fuGZTHx8cDYGtrmxXNEq8oVaoUN27cMCjT6XTcunVLvjM5iAQ4IUS2lTt3bqpXr86BAwcMbty7b98+8uTJg6uraxa27sOTkJDApEmT2Lx5s0F5eHg4arWaatWqZVHLxMtq1arFjz/+yOPHj/Vlx48f5/nz59SqVSsLWybSk8yBE0JkawMGDKB3794MHTqU9u3bc/78eVauXMmoUaPkHnCZrHjx4rRu3Zrly5djZmaGm5sb586dIzg4mK5du1K6dOmsbqIAunbtyoYNG+jduzeDBg0iOjqauXPnUrduXapUqZLVzRPpRKXI82iEENncgQMHWLRoEdeuXaNw4cJ069aNTz/9NKub9UF68eIFK1asYOfOndy5c4fChQvTqVMn+vTpg4mJSVY374MTERFBjx49WLduHR4eHvryP//8k1mzZnH+/HmsrKxo2LAhY8aMkXmjOYgEOCGEEEIIIyNz4IQQQgghjIwEOCGEEEIIIyMBTgghhBDCyEiAE0IIIYQwMhLghBBCCCGMjAQ4IYQQQggjIwFOCCGEEMLISIATQgghhDAyEuCEEEIIIYyMBDghhBBCCCMjAU4IIYQQwshIgBNCCCGEMDIS4IQQQgghjIwEOCGEyIZu3bqFs7Mzvr6+Wd2U9/L06VMeP36c1c0QIseRACeEECJD/PDDDzRu3Ji//vorq5siRI4jAU4IIUSGOH/+vPS+CZFBJMAJIYQQQhgZCXBCCGEEIiIicHZ2JiwsjMWLF9OgQQNcXFxo2bIl+/fvR6PR8NVXX9GgQQPc3Nxo27Ytx44dM9iHs7MzEyZMYOfOnTRr1gwXFxeaNGlCSEgIWq3WoK5Wq2X9+vW0bt0aV1dXqlatSo8ePTh69KhBvW3btuHs7Mzu3bvp0KEDlSpVomnTpnTq1InFixcD0KNHDxo0aKDf5saNG0ycOJEGDRpQqVIl3NzcaNOmDRs3bjTYd0BAAFWqVOHWrVsMGzYMDw8PXF1d6dKlCz/88EOK9+iff/5h7Nix1K5dm8qVK9O8eXNCQkJISEgwqPfzzz/j5+eHu7s7Li4u+Pj4sGrVqhTvgRDZmUpRFCWrGyGEEMLQrVu38Pb2xt3dnfXr1xMREUGPHj1wcHDAwsKCzp07k5iYyPLly3n+/Dk1a9bkzp07dOzYEY1Gw/Lly4mLiyM8PJxixYoBSQGuaNGiREZG0qlTJ8qUKcPhw4c5ceIEPj4+zJ8/HwCdToe/vz+HDx/Gw8MDb29vnj9/zvbt27lx4wYBAQH07t0bSApw48aNw9LSkoYNG1KtWjViY2NxdnYmNDSUAwcO4Ofnh4uLCw0bNuTWrVu0a9cOMzMzunTpQuHChbl//z5btmzh7t27zJs3j5YtWwJJAS4sLAw7OzvKly9P3bp1iY6OZvXq1cTGxhIeHk7JkiUB+P333+natSuKotClSxccHR05ffo0e/bsMTi3Q4cOMXToUIoVK0a7du2wtLTkxIkTHD58mEaNGhEUFIRKpcrkT1uI/0ARQgiR7dy8eVNxcnJSunfvriiKopw+fVpxcnJSatWqpTx9+lRfb82aNYqTk5NSu3Ztg/JNmzYpTk5OyjfffKMvc3JyUpycnJTvvvtOX6bT6RR/f3/FyclJiYiIUBRFUbZv3644OTkpY8eOVXQ6nb7u06dPlaZNmyoVKlRQrl+/riiKonz77beKk5OT0qFDB4O6iqIoixYtUpycnJTTp0/ry2bNmqU4OTkpv/zyi0Hdv/76S3FyclL69++vLxs7dqzi5OSkTJkyxaDujh07FCcnJ2XBggX6sm7duikVK1ZULl++bFB3xIgRipOTk/Lnn38qsbGxioeHh9K2bVvlxYsXBvUCAwMVJycnZffu3YoQxkCGUIUQwojUrVsXa2tr/XLZsmUBqFevnkG5o6MjAJGRkQbbly5dmlatWumXVSoV/fr1A2D//v0A7N27F4Bhw4YZ9EZZW1vj5+eHRqNh3759BvutX79+mnquAgICOHHiBBUrVtSX6XQ6NBoNALGxsSm2ebm9AC4uLgA8ePAAgMePH3P27Fnq1q1LuXLlDOqOGzeOXbt24ejoyMmTJ4mKiqJJkyY8e/aMx48f61/NmzcH4MCBA289ByGyA9OsboAQQoi0K1iwoMGyqalpquUmJiYAKK/Mkvnoo49S7LN06dJA0ty05P+1trbG3t4+RV0nJycgaYj3Te16HZVKhUajISgoiMuXL3Pr1i1u3LhBXFxcqu1Nbd9mZmZAUvADuHPnDoqiUKZMmRTbFihQgAIFCgBw7do1ABYsWMCCBQtSbd/t27fTdB5CZDUJcEIIYUSSA9ur0jpvKzn8vCy59+vl0Pe6/SVP9H91P8nbvs2pU6fo378/uXPn5uOPP8bb25uPPvqIatWqUbdu3VS3edu5Jbf/bfWSA9+QIUOoUqVKqnWsrKzedgpCZAsS4IQQ4gNy/fr1FGVXr14F0F8QUKJECa5evcq9e/dS9ML9/fffABQpUuQ/HX/y5MmYm5uze/dug561V4d630XyRRrJPWwv+/333wkJCaFz5876eubm5tSsWdOg3rNnz/jhhx/S3JMoRFaTOXBCCPEB+fnnnzlz5ox+WafTsWzZMlQqlX4eWJMmTQD48ssvDYY0Y2NjCQkJwcTEhIYNG771WGq1Wn+MZFFRUdjZ2emHNZMtX74c+Lc37V0UKFAANzc3jh07liLEbdiwgd27d2NjY0Pt2rWxsrJizZo1REVFGdQLDg5m6NChKW6TIkR2JT1wQgjxAcmdOzf9+vWje/fu2Nvbs2/fPs6cOUOvXr30Fwe0bt2avXv3sn37du7cuYO3tzdxcXFs376df/75h1GjRlG8ePG3His5pIWGhnL//n1at26Nt7c3O3bswN/fHy8vL+Li4ti/fz8//fQTZmZmPH369D+d16RJk/D19aVjx45069YNBwcH/W1EPvnkEypUqAAk9QCOGzeOli1b0rlzZwoVKsTp06cJDw/H1dWVrl27/qfjC5HZJMAJIcQHpHLlyrRv354lS5YQGRlJqVKlmDlzJh06dNDXMTExYenSpaxdu5YdO3Ywb948LCwscHFxYcKECa+dq/aqFi1acODAAY4cOcKpU6do1KgRkydPJl++fOzfv5/jx49jZ2eHk5MT69atY/PmzYSHh3Pnzp13HqKtVKkSW7duZdGiRXz99dfEx8fj6OjIlClT6Ny5s75emzZtcHBwYMWKFaxbt44XL15QpEgRBgwYQJ8+fbC0tHyn4wqRVeRGvkII8YFwdnbW3xhYCGHcZA6cEEIIIYSRkQAnhBBCCGFkJMAJIYQQQhgZmQMnhBBCCGFkpAdOCCGEEMLISIATQgghhDAyEuCEEEIIIYyMBDghhBBCCCMjAU4IIYQQwshIgBNCCCGEMDIS4IQQQgghjIwEOCGEEEIIIyMBTgghhBDCyEiAE0IIIYQwMhLghBBCCCGMjAQ4IYQQQggjIwFOCCGEEMLISIATQgghhDAyEuCEEEIIIYyMBDghhBBCCCMjAU4IIYQQwshIgBNCCCGEMDIS4IQQQgghjMz/AY29hBQ/ce1jAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 300x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 300x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 300x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 300x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 300x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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cHTt2pGPHjume35MnTxg6dCjJycmMHTsWLy8vpdyaNWv46aefGDJkCFu3btUZGJ2YmEhYWBjW1takpqa+sbXhTQ4ePMjJkyfJkSNHhgPrT58+zZw5c7h48SJPnjzBxcWFyZMna30+79y5A6QFIV9//bXWIPUlS5bg6urK9OnTlc9OamoqV69eBdJaO8qXL0+1atW4ffs2x44d49ixYwwbNowePXoo+/niiy/YsmWL8nt6ypcvT6lSpTh69CjR0dHkyZNHq46XL1+mT58+73Clsk4TzLi5uZEjRw4l3cnJKdN/q3fv3gWgQIECTJ48mTlz5mgtDTNr1iyGDx9O586dtcotWrSI5ORkrS7BCxcuoFarcXBweKdZmVllYmJCsWLFuH79Onfu3FECsn79+rF3715u3LhBhw4dKFasGLVr16Zq1apUr149w4Do1q1bAO8tmH7V6tWruX//PjY2NlSuXPm971+6LIX4CC1atAiAH374QQnGIG3K+C+//EKJEiW4dOkSR48e1Sk7fPhwJRiDtBt7v379UKvVOuM03kbT9ZPej6aOkNZ8HxYWRv78+Rk7dqzWjbxkyZIMGzYMSBvnopE7d27q1q3LwIEDtb60c+TIoQQdH3pGpbOzs1Y3kqGhIefOnePkyZPY2dnh7++vNTaqUqVK+Pj4kJyczOLFi4G0lsH4+HjMzc2xsrJS8hobGzNkyBB++eWXDIOYzFi5ciXx8fG0atVKKxgDaNeuHa1btyY2Njbd97ZVq1bKkgTvGozdvXtXef/69u2b4UzAs2fP8tdff/HkyRMgbZaeJgDTiImJAdK6wsqUKcPatWs5deoUS5YsoWzZshw8eJCRI0cq+W/fvk1cXBw5cuRg5syZbNiwgeDgYDZv3syUKVMwNjZmwoQJWt3bJiYmlClThjJlymi9d69r2rQpycnJOt2Wmu7KzLQO/VtLliwhLCwMc3NzBg8e/M77efnyJQBHjhxh/vz5+Pn5sXfvXg4dOqT8s/Prr79y4MABrXLFixenTJkyWrNUNV3sr4/b0tiwYQNDhw5N9+fp06fvVH/N8V/tsi1XrhwrVqxQZnKHh4ezcuVKvv/+e+rXr0+LFi34448/lHGXGprP35tapN/F2bNnCQwMBGDo0KGZnq2aFRKQCfGRUalUnD59GgMDAxo3bqyz3djYmEaNGgFojTGCtC+j9Mp8+eWX6eZ/mxYtWmT48+pA2RMnTpCSkqJM539d3bp1MTQ05NSpU6SkpABpXQPz5s3T6vJ6+fIlJ0+e5ODBg0Bai+CH9GrgqqEJcqtXr55uEKMJrjRrLOXLl4/SpUvz8OFDWrduzdy5c5VWnZIlS/LVV1/9qwHpJ06cANICiPQ0a9ZMqz6verW78F3cvHmTLl268PTpU9zd3enXr1+GeVu3bs25c+fYu3cvgwcP5u+//6ZPnz5anznN+5k3b17mz5+Pg4MDlpaWVK9enfnz52Nubk5YWJgy+LxMmTIcOXKELVu24OHhoXPenTt3JjU1Ncv/aMD/rufr4yu3bt1KmTJlKF++fJb3mRWabm4DAwMCAgL+1dpWmuv64sULfHx88PPzo1ChQuTPn58uXbrw3XffoVartQavZ+RtS31cvHiRTZs2pfsTGxv7TvV/PajSsLOz488//2Tjxo0MHjyYWrVqYW5uDsC1a9cYO3Ys7du31wrkNGMWNfeZ9+HkyZP06tWL+Ph4vvrqK51JL++LdFkK8ZF5/vw5ycnJWFtbY2lpmW4ezbo+mv8GNQoVKpTuf26aboDHjx9nqS5vWoDyVQ8fPgTSulrfFATEx8cTHR2tjJUJDw9n+fLlnDlzhjt37ig3Vk2LmfoDr8j/aleVhuZclixZwpIlSzIs++pg/alTpzJw4EBu3rzJxIkTmThxIgUKFMDd3Z1OnTqlu9hpZmnes4wGV2f0WQDeutjom5w4cQI/Pz+eP3+Om5sb06ZNe2Mrm+Y9LVSoED4+PhgaGjJp0iSCg4OVAdJmZmbExsbSoUMHnc9pwYIFcXNzY+vWrRw9elQJUPLmzas1tupV7u7u/PHHH1y8eDHL52dra0vZsmU5cuSI0m159epVrl+/zoABA7K8v8xSq9VMnDiRefPmYWRkREBAwL9ujdMEKYBOtySkDX7//fffOX/+PLGxsW/sitR0Bab3eQIYMWIEI0aM0Erz8PBQJqS8i+joaACtFuZXaVrlNa3T586dY9OmTaxdu5a///6b0aNHK12/mpa9t63Zlllbt27F39+fhIQEOnTooNWC+75JQCbER0YThLw+zTy9PK9/qWX0hanJ/6EWGdX8V122bNm3DqTVCAsLY9iwYahUKkqUKEGNGjUoW7YsDg4OpKamvnHMVVa86T/l9K6x5lwcHR3fOBD61bKaGZtHjhxhz549HDp0iDt37rBy5UpWrVrFzz//nO4XZWa87fOQ0WcB3r2bcv369fz0008kJyfTpk0bfvvttyx/dlq1asWkSZO0VtjPmzcvsbGxGT6BQhN0ZrQcxes0q6zHx8dnqW4aTZs2JSgoiF27duHl5aWMPftQ3ZUJCQl8//337NixAzMzMyZNmkTDhg3/9X41AauFhUW6wau5uTl58+bln3/+4cWLF28MyDQtg1euXFG64j+kmJgYrdnSkBag3b59W1nR/1UmJiZUrVqVqlWrUq9ePfr378/27dtJTEwkR44cSmv0uXPnMnX84OBgSpQoQf369XX+gZkzZw6TJ09GrVbj4+Pzr7qVM0MCMiE+MlZWVpiYmPD8+XNiYmLSbSULDw8HdMdJPHnyBLVarfPlrfnv9UOtb6X5YqxQoUKmWtViY2OV/zRDQkJ0nlSwc+fOLB3fwMAAtVqdbneL5r/vzNKcS506dbJ0AzYyMsLV1RVXV1cgbabm4sWLWbhwIRMnTqRDhw5vHNOUkQIFCnD79m0iIiKUWaCv0nyZva8xM3PnzlXeQz8/vwxbi27cuMHSpUspUKBAusGz5lxfXYrE1taW8PDwDJcM0IxB0pzLjh072LZtGzVq1KBjx446+TV/B+/6udYEZNu2bcPLy4tt27Zhb29PqVKl3ml/bxITE0OvXr04c+YM+fLlY+bMme9t4Hm5cuWAtKVGXr58qfPkguTkZOXvIKPWRo3SpUvj4ODAxYsX2bJli864xfdt7969pKamYmtrq7zvBw4cYMiQIdSrV++N65s1aNAAa2troqKiePHiBTY2NlSvXp1cuXJx584drl69+sYW+3v37induBs2bNAKyMaMGcOyZcswNjZm1KhRdOjQ4T2dccZkDJkQHxkTExNcXFxITU1NNzBRqVRK+utr5cTGxipjjl6lGbj8vha6fJ3mMSInTpxIt7Xi0qVLNGnShIEDB6JWq7l+/TqxsbGUK1cu3cdGacaQZbbLUjNu7fVuiuTk5Cx3Z2nO5cCBA+kGeLt27cLT05PRo0cDaWO3mjZtqtOVUbhwYfz9/cmdO7fyRfkuNPXJaA0xTatO9erV32n/r1q+fDkTJ07EyMiIsWPHvrHrLiUlhRUrVjBv3rx0xw5pnv346mOQNOPvNHV+VWJiojLerGrVqkDamMLNmzezdOnSdD8LoaGhAEoQnFVlypTB1taWI0eOcPToUe7cuaOMyXufkpOT6dOnD2fOnKFEiRKsXLnyvc4CzJMnjzL4XTMp4VWHDx9GpVLh6OioNZMzI5oA+/fff1eC3oyEh4fz4sWLd6h12ti3OXPmAPDVV18p6ZUqVcLQ0JDDhw+/cTHbp0+f8vLlS6ytrZXJJiYmJnh7ewMwduzYdNcmhLR7y/jx4wGoUqWK1pjBCRMmsGzZMszNzZk5c2a2BGMgAZkQH6WuXbsCMH78eC5fvqykaxaJvHfvHhUqVEh3McbRo0drjf84c+YMs2bNwtTU9I3rTP0bxYoVo0GDBjx69IgRI0Yos+kgLUj68ccfuX37NgULFsTAwED5L/327dvKNHVAmQm6atUqIO1L+lWaL5PXgxvNzfSPP/5Q0lJSUvj999+zPJakRo0aVKxYkUuXLjF+/HitiQV3797lt99+4/r160p3Zrly5ZQHML++evfevXt58eIFRYsWfWvLREY6dOiAhYUFoaGhrF+/Xmvb2rVr2bBhAxYWFrRp0+ad9q9x/fp1xo4dC6R9ht7WMmJnZ4eLiwuxsbH89NNPWu/VmTNnlIfOv7okRfPmzfniiy84c+YM06ZNU4IslUpFQEAADx8+pFatWkpLYKNGjbC2tubatWtMmzZNK0BetWoV27dvJ1++fFqLoSYnJ3Pz5k1u3ryZ4WDxV2lmW44ePRoDA4MPEpAFBwdz6tQpbGxsWLJkyVtX3X8Xmus8efJkrVmn4eHhBAQEACiBisa9e/e4efOmzt9TgwYN6NKlC9HR0bRr147169frTLCJiYlhwYIFtG3blpcvX2JhYZGl7s3Hjx8zePBgrl69ir29vVbQU6xYMVq3bo1KpaJnz55aD3bXuH//PoMGDUKlUtGjRw+tXoG+ffsqT2Po27cv9+7d06n7yJEj2blzJzly5ND6Z+rgwYPMmzcPQ0NDgoODqVevXqbP6d+SLkshPkINGzakR48eLFiwgHbt2ikLw547d45Hjx5RpEgRpkyZku4YIc3jb2rWrElcXBzHjx9HrVYzevToD9IVo/Hrr79y9+5dNm/ezKFDh3B0dMTAwICTJ08SFxeHi4sL3377LZA23d7Dw4M9e/bQunVrqlevTo4cObh8+TIPHjygbNmy3LhxQ2cafYkSJbh16xaDBg3C3t6e77//nmLFitGjRw9Onz7NwoULOXr0KMWKFePixYs8ffqUZs2apdsikxEDAwMmT55M165dWbhwIZs3b8be3p6EhAROnjxJcnIyjRo14ptvvgHA2tqa77//nsDAQDp37oyzszMFChQgMjKSs2fPYmxs/K8GAn/xxRf8/vvvfPfddwwbNoyFCxdSqlQpbt++zZUrVzA3N2fChAlvXVH9bUJCQkhOTiZnzpzKGl/padiwIU2aNAHSWlA6d+7Mli1bOHnyJI6Ojjx9+pQLFy6QmpqKn5+f1hgpS0tLpkyZQp8+fQgJCWHz5s2UK1eOv//+m/v371O4cGEleIC05RAmTJiAr68vM2fOZOvWrdjZ2SndURYWFgQFBWkNBo+MjFSCqt27d2c4Xk2jWbNmTJs2jVu3blG5cmUKFy6c6WsWEBDApEmTMty+aNEiChQooPyjkC9fPiZMmJBhfn9//wyXFXmbRo0aKfeMjh07UrVqVUxNTTl9+jRxcXG0adOGVq1aaZXp1q0b9+/fJzAwkLZt22ptGzFiBMWLF2fChAkMGzaM3377jQoVKmBtbc0///zD+fPnlSDN3d2dESNGpLtUxqpVqzh8+LDyOiEhgUePHnHlyhWSk5OpUKECs2bN0hmjOHr0aKKjo9m9eze9e/emUKFC2NnZYWZmxoMHD7h06RIpKSm0a9eO3r17a5U1MzNj2bJl9OnTh4MHD9K4cWMqVqxIkSJFiI2NVa6JlZUVU6ZM0Wodmz59OpD2Xq1fv17nnyCN9u3bZ7ia/7uSgEyIj9SwYcOoWrUqS5cu5eLFiyQmJlK0aFH69etH9+7d050hCLBs2TImTZrEgQMHMDQ0pE6dOvTt21fpBvpQ8uXLx6pVq/jjjz/YunUrJ06cwNTUlFKlStGyZUs6deqEmZmZkn/KlCnMnz+fzZs3c+LECSwtLSlSpAhfffUVXbt2pV27dly7do2LFy8q3V4//vgjsbGxnD9/nsOHD3Pr1i2KFStGw4YNmT17NnPmzOHSpUuEh4dTtWpVQkJCOHXqVJYCMoBSpUqxfv165s2bx+7duzl06BA5c+bEwcGBDh060LJlS61HAnXr1o0CBQqwYsUKrly5woULF7C2tqZ58+b07t070xMdMtKoUSPWrFnD3LlzOXbsGDdv3sTGxoZ27drRo0ePf7VkgoZm2YzY2Fg2bdqUYb4iRYooAVmJEiXYsGEDM2fOZM+ePezfv5+cOXNSt25dunXrpvUsQI0qVaqwYcMGZs2axf79+9m3bx8FChSgS5cu9OvXT6clsW7duqxdu5ZZs2Zx9OhR9uzZg7W1NW3btqV///7/urWpZMmSVKhQgb///jvLg/ljYmK0WoNfp1KpOHfunNKNf+XKFa5cuZJh/gEDBrxzQAZp94wqVaqwZMkSLl68SGpqKmXKlKFTp07pPpHgbby9vWncuDFhYWHs3r2b8PBwzpw5Q86cObG1taVGjRq0atXqjeO0zpw5w5kzZ5TXJiYmWFlZUaNGDZo0aULr1q3THVtpampKSEgI+/btY/PmzZw9e5aTJ0+SmJhI/vz5adKkCe3atUv3MwZpTxD4888/Wb9+Pdu2bVOuvampKSVKlMDNzQ1vb2+tsZfx8fHKEymePHnyxr+DGjVqvPeAzED9oeeVCyGyheameOnSpQ82m1KI/4KoqChq1qzJkSNH3rmr+HPRokULfH19lSBb6I+MIRNCCPFJ2b9/P4UKFVKeUiDSFxERwa1bt/51C654PyQgE0II8cmIjo5m/Pjx/Pzzz29cy0+kdXH26tXrvTwXVvx70mUpxCdCuiyFSPO21ehFGrlOHxcJyIQQQggh9Ey6LIUQQggh9EwCMiGEEEIIPZOATAghhBBCzyQgE0IIIYTQMwnIhBBCCCH0TAIyIYQQQgg9k4BMCCGEEELPJCATQgghhNAzCciEEEIIIfRMAjIhhBBCCD2TgEwIIYQQQs8kIBNCCCGE0DNjfVdACPF5a968OcWKFdN3NYQQGQgPD2fz5s36rsYnTwIyIYReFStWjFmzZum7GkKIDPj4+Oi7Cp8F6bIUQgghhNAzCciEEEIIIfRMAjIhhBBCCD2TgEwIIYQQQs8kIBNCCCGE0DMJyIQQQggh9EwCMiGEEEIIPZOATAghhBBCzyQgE0IIIYTQMwnIhBBCCCH0TAIyIYQQQgg9k4BMCCGEEELP5OHi/wFqtRoDAwN9VyNL/ot1FkKIT1lqaiqJyakYGRqQkqrG2MiQ1NRUcphKKPAx+GRayPz9/fHw8Mhwu7e3N97e3tlYo/dj9erV/P7773o7/tuua3pu3LjBV199pZVmZ2dHUFDQ+6zae7Vu3Trs7OyIiIjIMM/H/hl6l/cqPREREdjZ2bFu3bo35vPw8MDf3/9fH08I8eElJqVw+PxDRsw8hJd/GB1+3Ey3MdtZuesaL2OTSFal6ruKnz0Jiz9yM2fOpHr16no7fv/+/enSpUuWymzdupUzZ85opa1cuZKCBQu+z6qJD6RAgQKsXLmS4sWL67sqQoj3ICFJxbg/TnDqymOt9BexSazefZ3tR+8yzteVgvksMDE20lMtxSfTQiY+jOLFi1OxYsV/vR9nZ2cJyP4jTE1NcXZ2Jm/evPquihDiX4pPVPHH5ss6wdirXsQm8WPIIVJT1dlYM/G6zzYgS0lJYc6cOXh6euLk5ISzszOdOnXiyJEjWvmuXbtG3759qVy5MpUrV8bX15fw8HBl+7Fjx7Czs+PIkSN4e3vj5OSEm5sbq1ev5vHjx/j5+eHi4kL9+vVZtGiR1r6vXLmCn58fNWvWxN7enrp16/Lbb7+RkJAApHUJ3b9/n9DQUK3utDt37jBw4EDq1KmDs7Mz3t7enDp1Stmvpstp8+bN+Pj4UKlSJerXr09QUBCpqf9rlk5JSWHZsmW0aNFCqffEiRNJTExU8qTXDbZ69WqaN2+Og4MDbm5uBAUFoVKpAAgKCiI4OBjQ7qZ8vcvyn3/+4ccff6R27dq4uLjQuXNnrXNIz4kTJ+jZsyfVqlXDwcEBDw8PrXPSnPfWrVsZOHAgLi4uVKtWjREjRhAbG6vsJzU1lZCQENzc3KhUqRL9+/cnOjr6jcd+G5VKhaurK0OGDNHZ1rRpU4YPHw6kvafBwcEEBgZSo0YNXFxcGDJkCLGxscyZM4d69epRpUoVBgwYQFRUlLIPDw8PpkyZQmBgINWrV6d69ep8//33Wnk01q1bR+PGjXF0dKRly5bs379fa3tmPz+vdlleuXKF7t274+Ligru7Oxs3bvxX10sIkX12Hrv31jzPYxLZd+Y+qhTputSXTy4gU6lU6f6o1dqR/8SJE5kxYwYdO3Zk3rx5jBkzhqioKAYNGkRcXBwAt2/fplOnTvzzzz+MGzeOgIAAwsPD+eqrr/jnn3+09vfdd9/h4eHBrFmzKFmyJKNGjaJLly7Y2toyffp07O3tCQwM5Pz58wA8fvyYzp07Ex8fz7hx45g7dy5NmzZlyZIlSuAWHByMjY0N9evXZ+XKlRQoUIAbN27Qtm1bwsPD+emnn5g4cSIGBgZ07dqV48ePa9Xpl19+wdLSkqCgIFq3bk1ISAjjx49Xto8cOZKxY8fi4eHBzJkz6dy5M0uXLqV///4610tj9uzZ/Pzzz9SqVYtZs2bRuXNn5s6dy8iRIwFo37497dq1A9K6Kdu3b6+zj7i4ODp16sThw4cZMmQIwcHB5MyZk169enHz5s10j3vlyhW6deuGlZUVU6ZMYebMmVSuXJng4GA2b96slXfUqFEUKVKEkJAQevXqxdq1a5k1a5ayfcKECcyYMQMvLy+Cg4OxtrZm0qRJ6R43s4yNjWndujW7du0iJiZGST937hy3bt2ibdu2StrChQt58OABU6ZMwcfHh7CwMLy8vDh06BC//vorAwYMYPfu3UyfPl3rGMuXL+fUqVOMHTuWoUOHsn//fnr16qUVZD98+JA5c+YwaNAgpk+fjlqtZsCAAcrnNSufH43IyEi++eYboqOjmTBhAoMGDWLixIlERkb+q2smhPjwjlx4QGJySqbybjtyh6RM5hXv3yc1huz+/fvY29tnuP3VsViPHz9m8ODBWoO0zczMGDBgAFevXsXFxYXg4GDMzMxYtGgRlpaWANSqVYuGDRsyb948hg0bppT18vKie/fuAFhYWNCxY0ecnJwYOHAgAA4ODuzevZvTp0/j5OTEtWvXqFChAtOmTVP2Xbt2bY4cOcKJEyfw8fGhYsWKmJqakjdvXpydnYG0IM3ExITFixeTK1cuANzc3PD09GTChAmsXr1aqVPFihWZOHEiAPXq1SMuLk4JuB4/fsyaNWv49ttv6devHwB16tShQIEC/PDDD+zfv5/69etrXb+XL18yc+ZMOnbsyE8//QSAq6srVlZW/PTTT3Tv3p1y5copXZOaOr8uNDSU8PBw1q9fT/ny5QGoWrUqrVu35sSJE5QpU0anzJUrV6hduzYTJkzA0NBQqe/evXs5ceIELVq0UPLWr19feW9q1arFoUOH2Lt3L0OGDOHFixcsWbKELl26MGDAAADq1q1LZGQkBw4cSLe+meXl5cXcuXPZvn07Xl5eyrkWL16cqlWrKvly5szJlClTMDY2pnbt2oSGhvL48WNWr15Nrly5qF+/PkePHuX06dNa+zcwMGDhwoXK+543b158fX3Zv38/bm5uQFrr34wZM5RrmCNHDrp3787Zs2dp0KBBlj4/GosWLUKlUjF37lzy5csHQKlSpejQocO/ul7vIioqSmlBFkK8mVqt5u69CCwM43S2qdRGJKlzaKU9e5GAocyO15tPKiCzsbFh5syZ6W4bNWqU1mtNi8izZ8+4e/cut2/fZs+ePQAkJycDcPToUWrUqIGZmZnSJWdpaUnVqlU5fPiw1v5cXFyU3/Pnzw9ApUqVlDRra2sgLaiBtEDG1dWV5ORkbt++zZ07d7h69SrPnj3Dysoqw3M8fvw47u7uypcppLXONG/enBkzZmh1zbVs2VKrbOPGjVm8eDFnz55Vuj9fDWQAmjdvzvDhwzl27JhOQHbmzBni4+Px8PBQrgegdGkeOnSIcuXKZVh3jZMnT1K0aFElGIO0wGHr1q0ZlmndujWtW7cmMTGRe/fucffuXS5dukRKSoryfmm8HggWLFiQ+/fvA3D27FmSk5Np0KCBVp6mTZv+64CsVKlSVKlShQ0bNuDl5UVSUhJbtmyha9euWkuAODk5YWz8vz89GxsbLC0ttd5TKysrrl27prX/1993Dw8PTExMOHnypBKQWVtbawW0xYoVA/73ucvK50fj1KlTODs7K8EYpH22CxcunKXrExYWRlhYmE56Zlva4uLiCAoKyrD1VgiRvoqWumlqNZyLcUCl/t+9yMLMhFT5+9KbTyogMzU1xdHRMd1tOXPm1Hp94cIFRo8ezYULFzAzM6Ns2bIUKVIEQLnhP3/+nC1btrBlyxad/b0+4FnTyvUqc3PzDOuamprK5MmTWbZsGXFxcRQqVAgnJydy5MiRYRmA6OhoJeB7Vf78+VGr1VrdZQUKFEi3zi9evFDGTNnY2GjlMTY2xtraWvkCf9Xz588B6NOnT7p1e/w440Gjr+/n1S/3zEhISODXX39lw4YNqFQqihYtiouLC8bGxjpf0K9fd0NDQyWP5rxff/9evw7vql27dvz44488ePCAc+fO8eLFC9q0aaOVJ6ufFY3X309DQ0OsrKx48eKFkmZhYaGVRxMIaro1s/L50YiOjqZo0aI66Vm9Zp6ennh6euqk+/j4ZKq8hYUFAwYMkBYyIbLgZWwiI+cc4fU4S6U20grGAOo6F8bI6JMbyfSf8UkFZJkVExNDr169sLOzIywsjDJlymBoaMi+ffvYvn27ki9XrlzUrl1b6Yp81astHO9izpw5LFq0iF9++YXGjRsrLRaa8VcZyZMnD0+fPtVJf/LkCZDWQqIJjDQBlIZmHFG+fPmUL/EnT55ofdkmJycTFRWltOi9Knfu3EDa+LuSJUvqbE/viz49uXLlSne9rzNnzmBpaZluK1tAQADbt29n6tSp1K5dWwk8atWqlaljamjO659//qF06dJK+uvX6l01adKE3377je3bt3PmzBlq1aqV5ZakjLxex5SUFKKiorI0GzIrnx8Na2vrdMu8r2uWFel9LoUQGcuTkExFu1KcuPzmlmhjIwM865Qmh4kse6Evn2UofOvWLZ4/f06XLl0oV66cMiZJMxtN05pQvXp1bty4QYUKFXB0dMTR0REHBwcWLVrEzp07/1UdTp06RdmyZWnXrp0SjEVGRnLt2jWtQdqaumlUq1aNv/76S6sFKyUlhc2bN+Po6IipqamSrumC1di+fTvm5uZUqlRJGU+3adMmrTybN28mJSWFKlWq6NS5UqVKmJiYEBkZqVwPR0dHTExMmDRpkhJkvV7n11WtWpXw8HCuXr2qpCUlJTFgwABWrVqVbplTp05Ro0YNGjZsqARjFy9e5NmzZ1rX621cXFwwMzNj27ZtWul//fVXpvfxJhYWFjRr1oywsDAOHDig0zr2bxw4cICkpCTl9e7du1GpVFkKSrPy+dGoWbMmZ86c0epavHHjhtZsYyHEx8nCzITBX1WmUL6cGeYxNDTg+2+qYmL8WYYEH43PsoWsVKlSWFpaMmvWLIyNjTE2Nmb79u2sWbMGgPj4eCBtUdROnTrRt29fvvrqK3LkyMHKlSvZtWuXzgy4rHJyciIkJIQ5c+bg7OzM3bt3mT17NklJScrxIa1V6vLlyxw/fhwnJyf8/PzYv38/Xbp0oU+fPpiamrJ06VLCw8OZN2+e1jG2bdtG/vz5qV+/PsePH2fZsmUMHjwYCwsLypYtS5s2bQgODiYhIYEaNWrw999/ExwcTI0aNahbt65Ona2trenVqxfTpk0jJiaGGjVqEBkZybRp0zAwMFDGhGla0sLCwqhUqZIyjkmjbdu2LFmyhH79+jFo0CDy5s3LsmXLSEhIyHAlfCcnJ7Zu3cqKFSsoU6YMV65cYebMmRgYGGhdr7fJmTMn/fv3Z+rUqZibm1OzZk327duX6YDs0aNHOsuXAJQtWxZXV1cgrZWzY8eOWFpa0qhRo0zXLTPH7tevH126dOHhw4dMnjwZV1dXatSokel9ZOXzo9G1a1fWrFlDz549GTBgACkpKUydOhUTE5P3dWpCiA8op5kxUwbX548tl9l7KoL4xP+NAXYonY8uzSpQqkgezOQRSnr1WV79XLlyKUtADBo0iJw5c1KhQgWWLl1K7969OXnyJB4eHpQvX55ly5YxZcoUfvjhB9RqNba2tsyYMUNnUHhW9e3bl6ioKBYvXsyMGTMoVKgQrVq1wsDAgNmzZxMdHU2ePHno0aMHY8eOpWfPnixcuJCqVauyfPlyJk+ezI8//oiBgQFOTk4sXrxYayYfwKBBgzh+/DgrV66kUKFCjBw5UuuRRgEBAZQoUYK1a9cyf/58ChQogLe3N76+vhm2cn377bfY2NiwfPly5s2bR548eahVqxbfffed0tLXqFEjNmzYgL+/P+3ateOXX37R2oelpSVLly5l/PjxBAQEoFKpqFSpEkuWLMlwdXh/f3+Sk5OZOnUqSUlJFC1alH79+nHjxg327NlDSkrmp2r37dsXCwsL/vjjD/744w9cXFwYNmyYTj3Tc+/ePQIDA3XS27RpowRkzs7OWFtb06hRI8zMzDJdr7dp3rw5uXPn5ttvv8XCwoI2bdowePDgLO2jXLlymf78aFhbW7NixQoCAgLw9/dXlihJb2ylEOLjY2hoSE5zQ7p72tOjhT33Hr0kWZVKwXwWWOQwJoepMYaGMrtS3wzUMmXpkxMREUGDBg0IDAzUWv9KZI/z58/Tvn171q5di4ODw3vZp4eHB9WrV2fcuHHvZX8fEx8fH6114oQQHxf5G80en2ULmRAfwrFjxzh27Bjr16+nZs2a7y0YE0II8emTEXxCvCdRUVEsXLiQfPnypdutKYQQQmREWsg+QUWLFtWawSiyR5MmTWjSpMkH2ffrM2aFEEJ8WqSFTAghhBBCzyQgE0IIIYTQMwnIhBBCCCH0TAIyIYQQQgg9k4BMCCGEEELPZJalEAK1Wo2BgazULcTHIik5BbUaTIwNSUlNRZWixjyHfGV/yqSFTGS7devWYWdnpzyM/EPw8/PDw8Pjve3P29s7w+dsvi+LFy9+r3XOrFOnTtG3b1/ldUREBHZ2dqxbty7b6yLE5y4pOYWYuCTW7b1B//G78fLfRNfR25m34QIPn8aQ8MpzKMWnRcJt8cnZsGEDO3fupEiRIvquSqZt3LiR33//nS+++CLbj7169Wpu3LihvC5QoAArV67M8LmiQogPIyk5hTsPX/Dz7MPEJfwv8HoZl8yOY/fYefwevVs58mX14phJa9knR95R8UmJjIwkICCAggUL6rsqmfLPP/8wdepUVq1ahZWVlb6rA4CpqSnOzs76roYQn524hGR+mnWY+AxawdRqmLP+AgXzWVC5fAGMDKWT61Mi76b4oFJTUwkJCcHNzY1KlSrRv39/oqOjtfLs2rWLr7/+GhcXFxwcHGjSpAlLly4FQKVS4erqypAhQ3T23bRpU4YPH66V9tNPP1GnTh1q1ar1znV+8OABfn5+VKlShTp16rBw4UKdPAkJCUyaNIlGjRrh4OBA5cqV6d69O3///TcAe/fuxc7OjoMHD2qVO3v2LHZ2dhw/fhyAWbNmcejQIYKCgnB3d3/nOvv7+9O1a1dGjRpF1apVadOmDSqVimfPnjF69Gjc3d1xcHCgevXq+Pr6Kt3F/v7+hIaGcv/+faWbMr0uyzt37jBw4EDq1KmDs7Mz3t7enDp16p3rK4TQlpCkYu1fNzIMxl61bNsVkpNTs6FWIjtJQCY+qAkTJjBjxgy8vLwIDg7G2tqaSZMmKdv37t2Lr68v9vb2hISEEBQURJEiRfj11185ffo0xsbGtG7dml27dhETE6OUO3fuHLdu3aJt27ZK2urVq7l06RI///zzO9c3Li6Ob775hitXrjBmzBhGjhzJ6tWrOXPmjFa+H374gTVr1tCnTx8WLFiAv78/165dY/DgwajVaurWrcsXX3zBhg0btMqFhoZSrFgxqlWrBkCnTp3Yvn07jRo1euc6a5w8eZK7d+8SFBSEr68vRkZG9O3bl0OHDjFkyBDmz59P//79OXz4MCNHjgSgf//+1K9fHxsbG1auXImbm5vOfm/cuEHbtm0JDw/np59+YuLEiRgYGNC1a1clsBRC/DvGRobsPH4vU3lv3o8m6mXiB66RyG7SZSk+mBcvXrBkyRK6dOnCgAEDAKhbty6RkZEcOHAASPuyb926NSNGjFDKubi4UKNGDU6cOEHlypXx8vJi7ty5bN++HS8vLyAtsClevDhVq1YF4P79+wQGBhIYGEjevHnfuc6hoaE8ePCADRs2YGdnB4CTkxNffvmlkicpKYnY2Fh+/vlnmjVrBkD16tWJjY1l3LhxPHnyhAIFCtC6dWuWLFlCbGwsOXPmJCkpia1bt9K1a1dlRmOZMmXeua6vU6lUjB49mhIlSgBp3bfm5uYMGzZMuU41atQgIiKCP//8E4DixYuTN29erW7KuLg4rf0GBwdjYmLC4sWLyZUrFwBubm54enoyYcIEVq9e/d7O4W2ioqJISEjItuMJkV0Sk1WoE6OxSKeZRKU2IkmdQyvtcVQchfLnzKbaiewgAZn4YM6ePUtycjINGjTQSm/atKkSkPXq1QtICwLu3bvH7du3uXDhAgDJyckAlCpViipVqrBhwwa8vLxISkpiy5YtSmCjVqv58ccfqV+/Po0bN/5XdT558iTFihVTgjGAQoUKaY2pMjU1Zf78+QA8fvyYu3fvcuvWLf766y+tent5eTFnzhx27typtPK9ePGC1q1b/6s6ZsTMzExrIP4XX3zB4sWLgbRu2Lt373Lz5k1Onz6t1DEzjh8/jru7uxKMARgbG9O8eXNmzJihBJxvExYWRlhYmE56ZGRkpuoRFxdHUFAQarU603UX4r+komX66Wo1nItxQKX+31d2DhOjbKqVyC4SkIkPRjNW7PUWKxsbG+X3Z8+eMWrUKHbt2oWBgQElSpSgSpUqAFpfvO3atePHH3/kwYMHnDt3jhcvXtCmTRsAli1bxtWrV9m0aRMqlUqrrEqlwtDQEMNMDn6Njo5Ot4XNxsaGp0+fKq8PHDjA2LFjuXXrFjlz5sTOzk4JSjTHLlGiBNWqVWP9+vW0bt2a9evXU7NmzQ82+zNfvnw6a4lt3LiRyZMn8/DhQ6ysrChfvjxmZmZZ2m90dDT58+fXSc+fPz9qtZqYmJhMBWSenp54enrqpPv4+GSqHhYWFgwYMEBayMQnKSFRxfxNF7l+77nONpXaSCsYy2lmTKnCebKxdiI7SEAmPhhra2sgbSZh6dKllfTnz58rvw8dOpSbN2+ycOFCKleujKmpKfHx8TrdYE2aNOG3335j+/btnDlzhlq1alG4cGEAtm/fTlRUFK6urjp1sLe3x8/PT+kyzUyd7969q5P+ap3v3buHr68vDRo0YPbs2Uqr1LJly5SWPw0vLy+GDx/O7du3OXToEIGBgZmqx/tw8uRJhg0bxjfffEPPnj2Vmafjx4/P0oD8PHnyaAWjGk+ePAH+9z5nh+w8lhDZSa1W07ZRDkbNOfLWvA2qFZeW4k+QDOoXH4yLiwtmZmZs27ZNK13TtQdpi5I2btyYmjVrYmpqCsD+/fuBtBmaGhYWFjRr1oywsDAOHDigtI4BjB49mjVr1mj9uLu7Y2Njw5o1a+jQoUOm61yzZk0iIiKUblNIa8U7e/as8vrixYskJibSt29frS5CTTD26o2ycePGWFhYMHLkSMzMzN7L4P3MOnPmDKmpqQwcOFAJxlJSUjh8+DDwv+v7ttbDatWq8ddff/Hy5UslLSUlhc2bN+Po6Ki8b0KId2dgYEDFUnlpWK3YG/OVLJSbb5pWkHXIPkHyjooPJmfOnPTv35+pU6dibm5OzZo12bdvn1ZA5uTkxKZNm7C3t6dgwYKcOXOG2bNnY2BgQHx8vNb+2rVrR8eOHbG0tNQKbF5tfdOwsrLC1NQUR0fHLNW5VatWLF68GD8/PwYPHoylpSUzZ87UCg7t7e0xNjZmwoQJ9OjRg6SkJNatW8fevXsB7UHx5ubmNG/enJUrV9KhQ4csdxf+G05OTgCMGTMGLy8vXrx4wdKlS7ly5YpST0tLS3Lnzs3Tp0/Zt28fFSpU0NmPn58f+/fvp0uXLvTp0wdTU1OWLl1KeHg48+bNy7bzEeJTZ2ZqjE9bJ4oWyMX6fTd5HvO/mZSmxobUq1yUPq0cMTOV8WOfImkhEx9U3759+fHHH9m2bRv9+vXj6tWrDBs2TNk+btw4KlWqxK+//oqvry+7du1i9OjRuLq6cvLkSa19OTs7Y21tTfPmzT9YYGNqasoff/xBtWrVCAgI4Mcff6RWrVpaa4SVKFGCSZMmERkZSb9+/ZQlJJYsWYKBgYFOvTVlX12iIzvUqFGDkSNHcubMGXr37k1gYCCFCxcmODgYQOm2bNu2LUWKFMHX15f169fr7KdcuXIsX76c/Pnz8+OPP/L999+jVqtZvHgxtWvXzs5TEuKTl8PUGM+6pZn/05eM7Vebbzu58FP36iwd05Q+rR0xNzOW585+ogzU0hEt/iPOnz9P+/btWbt2LQ4ODvquTqb98ssvnDp1ik2bNum7Kh8lHx8fZs2ape9qCCEyIH+j2UO6LMVH79ixYxw7dkyZpfguwZhm9uWbGBgYYGT0/roCFi9ezK1bt1i5cuU7DeZXq9WkpKS8NZ+RkZH8xyyEEP9xEpCJj15UVBQLFy6kbNmy7zxL0d7e/q15qlevzpIlS95p/+k5efIkBw4cwNvb+53WHgsNDdV5NFR6AgMDs707VAghxPslAZn46DVp0oQmTZr8q32sWbPmrXkys5ZWVkyfPv1flXd3d89UvYsWLfqvjiOEEEL/JCATn4Wszrb8GFhbW8u6W0II8ZmQWZZCCCGEEHomAZkQQgghhJ5JQCaEEEIIoWcSkAkhhBBC6JkM6hdCiCxISFSRqlZjYGBAaqoaC1k5XQjxHkhAJsR/kLe3N8B7XTdNvFl8ooqYuCRC997gzLUnJKtSKWJjSat6ZXAokw8TY0MJzIQQ70wCMiGEeIuERBWh+26wYvtVrfTIZ3GcvvqY0kXyEOBTm5zmJhKUCSHeiYwhE0KIN0hMSmH3yXCdYOxVt+5HM2LWYZJVqdlYMyHEp0QCMiE+Qf7+/nh4eGilRUREYGdnx7p164C0Z4Ta2dlx5MgRevToQaVKlahduza///671rM/Y2JiGDlyJLVq1cLFxYXBgwezaNEi7OzssvWc9MXAAFbsuPLWfLfuR3P+xlPUanU21EoI8amRgEyIz9zQoUOpUqUKs2bNokWLFixYsEDrkU2+vr5s3bqVAQMGMGXKFGJjY5k0aZIea5y9zl1/QnRMUqbybth/k7iEtz/IXgghXidjyIT4zLVv3x5fX18AatWqxa5du9i7dy+dOnXiyJEjHD16lKCgIBo1agRAvXr1aNGiBTdu3Mj2ukZFRZGQkJCtx7x87Q4WhnE66Sq1EUnqHFpp9x/HYGQoY8iEEFknAZkQnzkXFxet1wULFiQuLi0AOXr0KCYmJjRs2FDZbmhoSNOmTQkKCsrSccLCwggLC9NJj4yMzFT5uLg4goKC9NIlWNFSN02thnMxDqjU/7uNGhsZIh2WQoh3IQGZEJ85MzMzrdeGhoZK0BMVFYWVlRWGhtqjG/Lnz5/l43h6euLp6amT7uPjk6nyFhYWDBgwINtbyCKfxRK46IROukptpBWMAVSyzfp1EUIIkIBMiE+SgYEBKSkpWmmaVq+s+OKLL4iKiiI1NVUrKPvnn3/+dR3fhbW1dfYfM6+KIkXucz38+VvzermXwzyH3FaFEFkng/qF+ATlzJmTqKgoEhMTlbTTp09neT/Vq1dHpVKxZ88erfRdu3b96zr+V5iaGDL4q8qYmRq9MZ+Xe1msLHO8MY8QQmRE/pUT4j/q0aNHLFq0SCe9bNmyuLu7s2TJEn788Ufat2/P9evXWbBgAUZGbw4qXletWjXq1KnDiBEjePr0KYULF2bNmjVcuXLls1kA1dDQkALWFkz+tj6Tlp/iZkS01vZcFiZ0aGhLk1olMTOVW6oQ4t3I3UOI/6h79+4RGBiok96mTRvGjRvHsGHDWLJkCTt27MDe3p7g4GA6deqU5eNMmTKFcePGMWnSJFQqFQ0aNOCrr75i/fr17+Es/htymBpR2CYn4/q78uR5PEcuPCQ5JYVShfJQpcIXqNVqCcaEEP+KgVpWMRRCZOD+/fucPXuWBg0aaA3+HzhwIOHh4YSGhv7rY/j4+DBr1qx/vZ/slqpWY/iZtBKKz9t/9W/0v0b+pRNCZMjQ0BB/f38aNGhAu3btMDIyYv/+/ezYsSPd1rnPiQRjQoj3SQIyIUSGChUqxNy5c5kxYwbffvstKpWKMmXKMHHixHSXsBBCCPFuJCATQrxRzZo1qVmzpr6rIYQQnzRZ9kIIIYQQQs8kIBNCCCGE0DMJyIQQQggh9EwCMiGEEEIIPZOATAghhBBCz2SWpRD/IWq1OsuPLHqXMp+DuIRkUtVqUINZDmOMjeT/UyGE/sgdSOidt7c33t7eOumxsbF8/fXXODg4sG3bNgD8/f2xs7PT+ilfvjwuLi60atWKxYsXZ3icadOmYWdnx6hRozLMExUVRWBgIA0bNsTBwYHq1avTtWtXtm/f/u9P9F949OgRffv25f79+1kqd+PGDb766iutNDs7O4KCgt5n9f5TEpNU3Ah/zqx15/l1/jF+X3KSHcfukpCkIiFJpe/qCSE+U9JCJj5KsbGx9OnTh/PnzzNt2jQaNGigbLOxsSE4OFh5rVarefr0KX/++ScBAQGYmprqPLMxNTWV9evXY2try6ZNm/jhhx/ImTOnVp6EhAQ6d+6MSqWid+/elCxZkpcvX7J161YGDhzI8OHD6dat2wc974wcPnyYvXv38vPPP2ep3NatWzlz5oxW2sqVKylYsOD7rN5/Rmx8MqPnHeXvO8+00s9ee8KCTZcY2rkKzrY28lxKIUS2k7uO+OjExcXRp08fLly4QEhICPXq1dPabmpqirOzs045Nzc3vvzyS9asWaMTkB0+fJgHDx6wbNkyunTpwqZNm3TybNu2jZs3b7Jt2zZKlSqlpDds2JCEhASCgoLw9vbGyMjo/Z2sHqR37T4HSckpjJh1iJsR0eluT0xKIXDRcX71qY19qXwYSRemECIbyR1HfFQ0wdjly5eZPXu2TjD2JiYmJloPwH7V2rVrKV26NFWrVqVWrVr8+eefOnmePn0KpLW4va5v377079+fpKSkDI/v4eFBcHAwgYGB1KhRAxcXF4YMGUJsbCxz5syhXr16VKlShQEDBhAVFaVVzt/fX2tf69atw87OjoiICNatW8fw4cMBaNCggZI3ISGBSZMm0ahRIxwcHKhcuTLdu3fn77//BiAoKEhpSXy1m/L1LsvHjx8zfPhw6tevj5OTE+3atWP37t1a9bGzs2PZsmWMGDGC6tWr4+LiwsCBA5Vr9rFLTU3l+OVHGQZjSj41zF1/keSU1GyqmRBCpJGATHw0Xm0Zmzt3LrVq1cowr0qlUn6SkpJ48OAB48eP5/bt27Ru3Vorb3R0NLt27aJNmzYAtG3blr///ptz585p5atbty7GxsZ07dqV4OBgzp49S3JyMgBOTk707NkTc3PzN57DwoULefDgAVOmTMHHx4ewsDC8vLw4dOgQv/76KwMGDGD37t1Mnz4909fFzc2Nfv36ARAcHEz//v0B+OGHH1izZg19+vRhwYIF+Pv7c+3aNQYPHoxaraZ9+/a0a9cOSOumbN++vc6+nz59Srt27Th+/DiDBw8mKCiIIkWK4Ovry8aNG7XyTpkyhdTUVCZPnswPP/zA3r17GTt2bKbPQ58SklJYv+9mpvLeefiCyH/iPnCNhBBCm3RZio+CJhg7efIkkDaGLCP379/H3t5eJ71kyZKMGjVKZxD7pk2bSElJoVWrVgB8+eWX5MmThz///JNKlSop+ezs7JgyZQqjR48mKCiIoKAgzMzMqFq1Kl5eXjRr1uyt55EzZ06mTJmCsbExtWvXJjQ0lMePH7N69Wpy5cpF/fr1OXr0KKdPn87UdQHImzcvxYsXB6BChQoULVqUpKQkYmNj+fnnn5V6Va9endjYWMaNG8eTJ08oWLCgMlYso27KhQsX8uzZM7Zu3UqxYsUAqF+/Pt26dWP8+PF4enpiaJj2f5utrS2BgYFK2fPnzyuTLbJLVFQUCQkJWS6nSknl0cNHWBim6G5TG5GkzqGVdiPiOSUK5X7negohRFZJQCY+ChcvXsTKyoqlS5cyYsQI/P392bBhAwUKFNDJa2Njw8yZM4G0L+jZs2dz7949xo4dS5UqVXTyr127lmrVqmFubs6LFy+AtHFhmzdvZvjw4eTO/b8v3kaNGuHu7s7Ro0c5fPgwx44d4/Dhwxw8eJBt27Yxbdq0Ny4h4eTkhLHx//6sbGxssLS0JFeuXEqalZUV165dy/pFeoWpqSnz588H0roc7969y61bt/jrr78AlJa9tzl+/DguLi5KMKbRsmVLhg8fzq1btyhbtiygG9QVLFiQ+Pj4TNc5LCyMsLAwnfTIyMhMlY+LiyMoKCjdLuXMKJd+bzZqNZyLcUCl/t/7ZmQoy4QIIbKXBGTio5AnTx7++OMPypcvz4QJE/jqq6/44YcfWLBggdJCo2Fqaoqjo6Pyulq1anTo0IE+ffqwevVqSpcurWy7cuUKly9fVvK9LjQ0lK5du2qlmZiYULduXerWrQukBTy//fYb27dvZ+/evbi7u2d4HpaWljppb+vmfFcHDhxg7Nix3Lp1i5w5c2JnZ6fMHM1s0BIdHU3RokV10vPnzw+gBLCgex6GhoZZCo48PT3x9PTUSffx8clUeQsLCwYMGPBOLWQJiSoWbr7E1TtROttUaiOtYAygYql8WT6GEEL8GzKGTHwUNOuJQVorU79+/Thy5AizZ89+a1lzc3PGjh1LXFwcP/74o1aQsGbNGszNzVm0aBGLFy/W+ilTpgwrV65U8nbq1EkZPP+qAgUK8NtvvwFp63p9CCkp2l1pcXFvHsN07949fH19KV++PDt37uT06dOsWLHijcFievLkyZPuwPwnT54AYG1tnaX9fWjW1tYUKlQoyz+lShbDq1EV4lItdH5e7660L50PSwsTPZ2hEOJzJQGZ+Cj169ePSpUqERwcnKnxVo6OjnTo0IEzZ84QGhoKQFJSEps2bcLDw4NatWpRo0YNrZ+2bdty8+ZNjh8/DkCRIkXYtm0b4eHhOvu/ffs2kDaO6n2ztLTk0aNHWmmvn/PrrYQXL14kMTGRvn37KuPLIK3VDP7XQvZ6uddVq1aNM2fO6Jzzxo0bsbGxoUSJElk7mY9Y+RJ5qVbhizfmyWFqRH8vJ1mHTAiR7SQgEx8lIyMjJkyYgKmpKUOHDiU6+s3LFQB8++235MmTh0mTJvHy5Ut27drF8+fPad68ebr5W7ZsiZGRkbIExuDBg8mZMyft2rVjxowZHD58mKNHjzJ37lx8fHyoV69elpbhyCx3d3dOnDjBrFmzOHr0KOPGjePIkSNaeTTj3Hbu3MnNmzext7fH2NiYCRMmcOjQIf766y8GDBjA3r17gf+1sGnKhYWFpRtodu/eHSsrK7p378769evZt28fgwcP5ujRowwePPitAd1/SQ5TI4Z1qUrD6sUxTGeMWMF8FkwYUJcv8uZMd7sQQnxIn87dVnxySpQogb+/P/fv3+enn356a35ra2sGDRrE06dPmT59OuvWrSNPnjzKWLDXFShQgNq1a7Njxw7++ecfihYtSmhoKC1atGDTpk3079+fvn37smnTJnr27MmMGTM+yDMh+/btS/v27VmwYAH9+vUjMjKSgIAArTw1atSgdu3aTJo0id9//50SJUowadIkIiMj6devHyNHjgRgyZIlGBgYKLNVGzVqhKOjI/7+/sokgFfZ2NiwYsUKHBwcCAgIYNCgQTx8+JCQkBC8vLze+7nqWw5TY3q3cmDpL03o0qwCDasXp1mdUozzrUPw9x4ULWBJDtP/9sK/Qoj/JgP1u05ZEkKI98DHx4dZs2Zl+3FVKakkq1IxNDCQIEyIN9DX3+jnRgZKCCE+S8ZGhhjL45GEEB8JuRsJIYQQQuiZBGRCCCGEEHomAZkQQgghhJ5JQCaEEEIIoWcSkAkhhBBC6JkEZEIIIYQQeiYBmRBCCCGEnsk6ZJ8ptVr9QVadFx8XeZ+1qVJSSUpOe5C7qYmRrEMmhPhoyN1Izy5cuMD333+Pm5sbTk5ONGjQgJ9++ind5w6+D0lJSQQGBrJp06b3sj9vb2+8vb0z3H7s2DHs7Ozo379/utvXrVuHnZ0dERER76U+H7uoqCgCAwNp2LAhDg4OVK9ena5du7J9+/b3fqzdu3czbNiw977f/6L4RBVxCclsPXyHkDXnCFl7nl3H75GQpCIhUaXv6gkhhLSQ6dOyZcsYO3YsNWrUYMiQIRQoUIB79+4xb948duzYwcKFC7G3t3+vx3z8+DGLFi0iMDDwve73bXbv3s3GjRtp2bJlth73Y5KQkEDnzp1RqVT07t2bkiVL8vLlS7Zu3crAgQMZPnw43bp1e2/HW7Ro0Xvb139ZQpKKTQdv8eeOqySrUpX0facjmLfxIt2bV6RB9eKYmcrtUAihP3IH0pNTp04REBBA586dGTFihJJeo0YNGjRoQNu2bRk+fDgbN27UYy3fn9y5cxMQEEDt2rXJnz+/vqujF9u2bePmzZts27aNUqVKKekNGzYkISGBoKAgvL29MTKS5yq+L/GJKjbsv8mybVfS3Z6YlMKs0AsYGIB71eKY55BbohBCP6TLUk/mz59Prly5+O6773S25c2bF39/fxo1akRMTIySvmvXLtq2bYujoyN16tTht99+Iy4uTtkeFBTEl19+yd69e2nRogUODg40btyY0NBQACIiImjQoAEAw4cPx8PDAwB/f3+6du3KqFGjqFq1Km3atEGlUvHs2TNGjx6Nu7u70r3m6+v7Tt2LgwcPJi4ujlGjRr0174MHD/juu++oXr06lSpVomvXrly+fFnZHhERgZ2dHQsXLqRp06ZUr16dWbNmYWdnx65du7T2dfPmTezs7Ni6dSsAL1++VLoMHR0d8fT0ZM2aNVplPDw88Pf310p7vWs1MTGR0aNHU69ePRwcHGjSpAkLFix443k9ffoUSBvX9bq+ffvSv39/kpKSuH79OnZ2dqxcuVIrT2RkJBUqVFDezy1bttCyZUucnJyoWbMmQ4cO5fHjx0BaV/Lx48c5fvw4dnZ2HDt2DIDnz58zcuRIateujaOjIx06dODIkSNax7Gzs2PFihX4+/tTpUoVqlevzm+//UZCQgK///47NWvWpEaNGowYMYLExMQ3nrO+paSk8ueOq2/NtzDsMjLUTgihTxKQ6YFarebgwYPUqlULc3PzdPM0adIEPz8/LC0tAdi0aRO+vr6ULl2aGTNm4Ofnx8aNG+nfv7/WF/yTJ08YM2YMXbp0Yc6cORQtWhR/f39u3rxJgQIFCA4OBqBfv37K7wAnT57k7t27BAUF4evri5GREX379uXQoUMMGTKE+fPn079/fw4fPszIkSOzfM5lypRhwIAB7Nq1i7CwsAzzPXv2jE6dOnHp0iV+/vlnJk2aRGpqKp07d+bmzZtaeadMmULPnj357bffaNmyJSVKlGDLli1aeTZt2kSuXLnw8PAgISGBr7/+mo0bN9KjRw9CQkKoUqUKI0aMYNasWVk6n4CAAPbt28ewYcOYP38+DRo04Pfff2fdunUZlqlbty7GxsZ07dqV4OBgzp49S3JyMgBOTk707NkTc3NzypUrR6VKldiwYYNW+Q0bNmBmZkbjxo05deoUQ4cOpVGjRsydO5fhw4dz9OhRhgwZAsCoUaOoWLEiFStWZOXKldjb25OYmEjXrl3ZvXs3gwcPJjg4mIIFC9KrVy+doGzixImYmpoSHBxMq1atWLJkCa1bt+bhw4dMmDCBTp06sWbNGpYsWZKl65adklQpbDl8h5RU3QD4dQlJKfx1MhxVSupb8wohxIcg7fN6EBUVRWJiIkWLFs1UfrVazcSJE6lbty4TJ05U0kuWLEm3bt3Yt28fbm5uAMTHxxMQEECtWrWUPO7u7uzbt48ePXpQoUIFAIoXL07FihWVfalUKkaPHk2JEiWAtNYYc3Nzhg0bRtWqVYG07tSIiAj+/PPPdzrvnj17snPnTn799Vdq1qyZbtflH3/8wfPnz1mxYgVFihQBoF69ejRr1oxp06Yxffp0JW+jRo1o166d8rply5bMnz+f+Ph4JdDdvHkzTZo0IUeOHCxfvpxr166xfPlyqlSpAqQFSSqVipCQEDp16oSVlVWmzuX48ePUrl2b5s2bK9fGwsICa2vrDMvY2dkxZcoURo8eTVBQEEFBQZiZmVG1alW8vLxo1qyZktfLy4uRI0cSHh5OsWLFAFi/fj1NmzbFwsKCU6dOkSNHDnr37k2OHDkAsLKy4sKFC6jVasqWLasE887OzgCsWrWKK1eusGrVKipVqqRcW29vbyZOnMjatWuV45cpU4YxY8YAUK1aNdasWUNycjITJ07E2NiYunXrsmfPHk6fPp2p6/W+REVFkZCQkKm8cQkqLl+9jYVhnM42ldqIJHUOrbRLt59Rv3JRmXkphNALCcj0wNAw7YafkpKSqfy3bt3i0aNH9O3bF5XqfzPCqlWrhqWlJYcOHVICMvjfFzBAwYIFAbS6NtNjZmZG8eLFlddffPEFixcvBtK6EO/evcvNmzc5ffq00qqTVUZGRgQGBtKmTRt++eUXrRY6jSNHjlChQgW++OIL5VwNDQ2pV6+ezng6W1tbrdetWrUiKCiIv/76i2bNmnH+/Hnu3bvH2LFjgbQgqkiRIkowptGyZUvWrFnDuXPnqF+/fqbOpUaNGvz5559ERkbi7u5O/fr18fX1fWu5Ro0a4e7uztGjRzl8+DDHjh3j8OHDHDx4kG3btjFt2jQMDAxo3rw5gYGBbNiwAT8/P86fP8/Nmze1gqQpU6bQokULmjZtSr169XB1dX1j/Y8cOYKNjQ329vZanyN3d3fGjx9PdHQ0efLkAcDFxUXZbmxsjLW1NQ4ODhgb/++WYWVlxcuXLzN1vQDCwsLSbR2NjIzMVPm4uDiCgoLS7fLNiAFQ0VI3Xa2GczEOqNTG2olCCKEnEpDpgZWVFTlz5uTBgwcZ5omLiyMpKQkrKyueP38OwOjRoxk9erROXs24IY1Xu0E1wd/bvsTy5cuns17Vxo0bmTx5Mg8fPsTKyory5ctjZmb2xv28TdmyZfHz82Py5Mls3rxZZ/vz58+5e/duhrNL4+Pjld9fb2ErVqwYlStXZvPmzTRr1oxNmzZRpEgRpYUvOjo63VY5TdqLFy8yfR4jRoygYMGCbNy4UXlPXFxcGDlypFbLY3pMTEyoW7cudevWBdLev99++43t27ezd+9e3N3dsbS0pEmTJmzcuBE/Pz9CQ0MpUaKEci4uLi7MmTOHRYsWMX/+fGbNmoWNjQ29e/ema9eu6R73+fPnPHnyJMNr++TJEyUg07SuvSqj7vXM8vT0xNPTUyfdx8cnU+UtLCwYMGBAplvIklUp7Dx+jx1H7+psU6mNtIMxwLa4NaYmMqFCCKEfEpDpiaurK8eOHSMxMVHpcnrVunXrCAgIYPny5eTOnRuAH374gerVq+vk1XyJvk8nT55k2LBhfPPNN/Ts2VNpaRs/fjynTp36V/vu1asXO3bs4Ndff6Vnz55a23LlykX16tX54Ycf0i1ramr6xn23atWKgIAAZTkJLy8vJdDMkycPd+/qfjk/efIEQKu78fXWy9dbGE1NTenXrx/9+vXjwYMH/PXXX4SEhDBkyBBlAsHrOnXqRKlSpXSWHClQoIASkN24cQN3d3cgrdsyNDSU8+fPs337dp313jRBXXx8PEePHmXx4sWMHTsWZ2dnpUvyVbly5aJkyZJa3d6vymwXuj69qUs4Pe2sbdh45AlvG0ZmamzIlzVKSHelEEJv5O6jJz169OD58+dMmTJFZ9s///zDvHnzKFGiBM7OzpQuXZp8+fIRERGBo6Oj8lOwYEEmTZqkNQPxbTK7pMKZM2dITU1l4MCBSjCWkpLC4cOHAUhNfffBz0ZGRowbN46YmBhmz56tta169ercvn2bUqVKaZ3rxo0bWb169Vvr37RpUwCmTZvGkydPtNY9q1atGvfv39cJKDdu3IiJiQlOTk5AWuvQo0ePtPK8OlYqISGBxo0bK7MqCxcuTOfOnWnevLlOuVcVKVKEbdu2pbvo7+3btwHtbthq1apRsmRJJkyYQFRUFK1bt1a2/f7777Rr1w61Wo25uTnu7u7KIrAPHz4E/tc6qlG9enUePnxIvnz5tK7tkSNHmDdv3ie53IapsRGt6pd9a75OjeyyoTZCCJExaSHTE2dnZwYNGsTUqVO5efMmbdq0wdramuvXr7NgwQJiY2OZM2cOBgYGGBkZMXjwYEaOHImRkRHu7u68ePGCkJAQIiMjs7R4bK5cuYC08URlypRJtyUFUIKTMWPG4OXlxYsXL1i6dClXrqSt5xQXF5dut1ZmlStXDl9fX6ZOnaqV3q1bNzZs2EC3bt3o0aMH1tbWbNmyhVWrVjF8+PC37jdPnjy4u7uzfPlyHB0dKVOmjLKtbdu2LF++HD8/PwYOHEixYsXYs2cPa9euxc/PT2mJdHd3Z/bs2cyaNQtnZ2f27t2rNQvRzMwMe3t7goODMTExwc7Ojtu3bxMaGkrjxo0zrNvgwYM5duwY7dq1o0uXLri4uGBoaMiFCxdYsGAB9erVo169elplvLy8mDRpEnXq1KFQoUJKeq1atVi4cCH+/v60bNmS5ORk5s2bh5WVFTVr1gTS1n47c+YMR44coWLFirRt25alS5fSvXt3fHx8KFSoEIcPH2bu3Ll88803mJiYvPX6/teYmxnzdWM7DFCzft9NnZYyYyMDOjWyo0Xd0rIwrBBCr+QOpEf9+vWjYsWKLFu2jMDAQJ4/f07BggWpV68ePj4+FC5cWMnbvn17cubMybx581i5ciUWFhZUrlyZiRMnKrPwMsPS0pLu3buzcuVK9u7dy6FDh9LNV6NGDUaOHMnChQvZtm0b+fPnp0aNGgQHB+Pr68upU6cyPQA+I71792bnzp1cunRJSfviiy/4888/mTRpEr/88guJiYmULFmSgIAArRmVb9KyZUu2b9+u81QAc3NzlixZwqRJk5g+fToxMTGULl1aZ999+/bl2bNnLFiwgOTkZNzc3AgICKBfv35KnjFjxjB16lQWLFjAkydPyJcvH+3atWPQoEEZ1qto0aKEhoYye/ZsNm3axNy5c1Gr1ZQoUYKePXvSpUsXnXF8bm5uTJo0ibZt22ql16tXj4kTJ7JgwQL8/PwwMDCgSpUqLF68WJkp2rlzZy5evEjv3r0JDAykRYsWLFu2jEmTJjFhwgRevnxJkSJFGDJkCD169MjUtf0vMjM1ptOX5fFyL8emg7e5Hh6FgYEBFUrmpVmdUhgZGkgwJoTQOwN1VqYsCSGy1dy5c5k3bx4HDhx46/i5/yofH58srwP3rpKSU/7/8UlqTEyMMDX+9LpphXjfsvNv9HMm/xYK8REKDQ1V1kzr06fPJxuMZTdTEyOZSSmE+ChJQCbER+jKlSv8+eefNGzYkN69e+u7OkIIIT4wCciE+AgNHz48U5MYhBBCfBpk2QshhBBCCD2TgEwIIYQQQs8kIBNCCCGE0DMJyIQQQggh9EwCMiGEEEIIPZOATIj/iHddw1nWfv4ftVpNsiqFlLc9bVwIIbKZLHshPjr+/v6Ehoa+MU+RIkXYs2cPQUFBBAcHa20zMjIiV65cVK1alW+//ZZy5cop2wYPHsyWLVt09jd58mSaN28OQEREBBMmTODYsWMkJydTs2ZNhg4dSqlSpd7D2b2b1atXc/PmTfz9/bNUbubMmZiYmNCrVy8A5XpdvXr1Q1TzoxWfqAJg3+kIIh7HkMPEiLrOhSmYPycmxoYYGcr/pkII/ZKATHx0+vfvT6dOnZTXISEhXL58WSvwen3l+pUrVyq/p6Sk8ODBA6ZMmULnzp3ZvHkzNjY2APz999+0bNmSzp07a5UvUaIEADExMfTo0QMjIyN++eUXTE1NCQkJwdvbm7CwMOU5kdlt5syZVK9ePcvlpk6dip+fn/K6ffv21K1b931W7aOXmKRixY4rbD54myRVqpK+avc1ShXOzbAu1bCxMpcV/IUQeiUBmfjoFC9enOLFiyuv8+bNi6mpKc7OzhmWeX1blSpVKFSoEJ07dyY0NJQ+ffoQHx/P3bt36du3b4b72rp1K3fv3mXz5s2ULVsWAFtbWxo0aMC2bdu0AsX/ooIFC1KwYEF9VyPbJCSpCF59ln2n76e7/faDF3w3dR9TB7tRMJ+FzsPdhRAiu0g7vfhkOTg4AHD/ftqX8dWrV0lNTaVChQoZlmncuDF//vmnEowBmJiYAJCUlJRhuXXr1uHo6MipU6fw8vLC0dGRxo0bs2fPHm7dukXXrl2pVKkSX375JZs3b9YqZ2dnR0REhNb+PDw8lO5JDw8P7t+/T2hoqFbeEydO0LNnT6pVq4aDgwMeHh4EBQWRmprWCmRnZwdAcHCw8ntQUJDyu8aWLVto27YtLi4u1KlTh5EjRxIdHa1sDwoK4ssvv2Tv3r20aNECBwcHGjdu/NZu5Y/BnQcvMgzGNOISVASvOat0awohhD5IQCY+Wbdv3wZQWtv+/vtvAFasWEGdOnVwcHDg66+/5ty5c0qZ3Llz4+LiAqQFYFeuXMHf3x9ra2uaNm36xuOpVCq+++47OnXqREhICDly5GDo0KH4+Pjg5ubGtGnTsLGxYdiwYTx69CjT5xEcHIyNjQ3169dn5cqVFChQgCtXrtCtWzesrKyYMmUKM2fOpHLlygQHBysBn6Ybt127dlpduq8KCQlh8ODBVKpUienTp+Pr68v27dvx9vYmISFByffkyRPGjBlDly5dmDNnDkWLFsXf35+bN29m+jyyW1xCMmv2XM9U3vPXnxKXIAGZEEJ/pMtSfBJUqv99mSYkJHDlyhXGjh1Lrly5aNmyJfC/gCwxMZHJkyfz/Plz5syZQ5cuXVi5ciXly5fX2mffvn05fPgwhoaGjB49WhmHlpHU1FR8fHxo3749AC9evOC7776ja9eudO/eHYD8+fPj5eXFxYsXM911WLFiRUxNTcmbN6/S1XrlyhVq167NhAkTMPz/Ael16tRh7969nDhxghYtWih5CxYsmG4XbXR0NDNnzqR9+/aMGjVKSbe1taVz586sW7eOr7/+GoD4+HgCAgKoVasWACVLlsTd3Z19+/ZRpkyZTJ3H+xAVFaUVKL6JSpXCjVt3sTBM0d2mNiJJnUMr7cLNp7hXKfZe6imEEFklAZn4JNjb2+uklS1blqCgICWQ6tatG02bNlWCCoBatWrRqFEjZs2axdSpU7XK+/r60rdvX3bt2sXPP//Ms2fP8PHxeWM9NK1rkBZ8gfb4Ns2kgBcvXmTl9HS0bt2a1q1bk5iYyL1797h79y6XLl0iJSWF5OTkTO3j7NmzJCUl0aJFC630qlWrUqRIEY4dO6YEZK+fhyaYjIuLy3Sdw8LCCAsL00mPjIzMVPm4uDiCgoKytIxHKRPARDddrYZzMQ6o1P+7BSa/MuBfCCGymwRk4pOwZs0a5XcTExNsbGzIly+fVp7SpUtTunRprbTcuXNTuXJlrly5orPPqlWrAlCzZk1evHjBzJkz6dWrF8bGGf/ZWFpa6qSZmZll6VwyIyEhgV9//ZUNGzagUqkoWrQoLi4uGBsbZzpg0YwT0wSOr8qfPz8vX77USjM3N1d+17TKZSU48vT0xNPTUyf9bUGuhoWFBQMGDMh0C1lCoooZa88R/uilzjaV2kgrGAMoXThPpvYrhBAfggRk4pPg6Oj41jybN2/GysqKOnXqaKUnJiZibW0NwPnz54mIiKBZs2Y6+9+wYQNRUVFv7brMCs2sPs1AfI3Y2Ng3lgsICGD79u1MnTqV2rVrY2FhAaDV+vc2efKkBSBPnz7V6XZ88uQJxYp9fN13mvcpM1JSU/F0h0nLTr81bxEbS4p9oRtMCyFEdpFB/eKzsXz5cn755Ret2ZKRkZGcPn1aWePrr7/+YujQoTx48ECr7IEDB9Jtdfu3NC1qDx8+VNJu3brF8+fPtfIZvrZw6alTp6hRowYNGzZUgrGLFy/y7NkzreDu9XKvqlSpEqampmzatEkr/eTJkzx48IDKlSu/0zl9LIwMDanlUJjiX+R6a97unhUxMpLboRBCf+QOJD4bvr6+REREMGDAAPbv38+mTZvo0qULuXPnpmfPngB89dVXWFtb07dvX7Zu3cq+ffsYPHgw+/btY9iwYW8McN5FzZo1MTc3Z9y4cezbt48tW7bg5+enswBt7ty5uXz5MsePHychIQEnJycOHjzIihUrOH78OIsXL6Z3794YGBgQHx+vVe7MmTOcOHFCp3vRysqKPn36sHr1akaPHs3Bgwf5888/GTBgAGXLlqVt27bv9Vz1wcTYkEBfV0oWyp3udiNDAwZ1dMGpnA3GEpAJIfRIuizFZ6N27drMmzePGTNmMHjwYAwNDXF1deX7778nd+60L+wCBQqwfPlyJk2axK+//kpMTAwVK1Zkzpw51K9f/73XKVeuXEyfPp1Jkybh6+tLkSJF8PPzY/369Vr5evTowdixY+nZsycLFy7E39+f5ORkpk6dSlJSEkWLFqVfv37cuHGDPXv2kJKSgpGRET4+PoSEhNC7d+90Hxk1YMAA8ufPz9KlS1m9ejVWVlY0adKEb7/9VmvM2H+VoaEBuSxMmDSoHn/fecaG/TeJfBZHDhMjqtsXxLNOKYyMDDHPIbdCIYR+GajlycNCCD3y8fFh1qxZ2XKs2PhkMADUaa1n8rgkId4uO/9GP2fyb6EQ4rOR0zydNTCEEOIjIIMmhBBCCCH0TAIyIYQQQgg9k4BMCCGEEELPJCATQgghhNAzCciEEEIIIfRMAjIhhBBCCD2TgEwIIYQQQs8kIBPiP+Rd13GW9Z+FEOLjJgGZ+CC8vb3x9vbWSY+NjeXrr7/GwcGBbdu2AeDv74+dnR316tXLMHCYOHEidnZ2yj41Zd704+HhoZQ/duwY33zzDdWqVaNOnTr4+flx9+5dre2vl3dwcKBu3boMGTKEmzdvvs/Lk2UvXrxg2LBhnDx5MkvlHj16RN++fbl//76S5uHhgb+///uu4kcrPlFFYpKKIxcesOnATfadiSAuIZm4hGR9V00IIRSyUr/INrGxsfTp04fz588zbdo0GjRooGwzNDQkMjKSU6dOUbVqVZ2yW7du1Xrdv39/OnXqpLwOCQnh8uXLBAcHK2mmpqYAnDlzhh49euDh4cHEiROJj49n5syZfP3112zatIm8efMqZUaOHIm9vT0ACQkJhIeHM3fuXNq1a8cff/yBk5PT+7kYWfT333+zfv36LD/w+/Dhw+zdu5eff/5ZSQsODsbS0vJ9V/GjlJikYsWOK2w7cpf4RJWSbmxkSF3nIvi0dcQ8hzEGBgZ6rKUQQkhAJrJJXFwcffr04cKFC4SEhFCvXj2t7YUKFUKtVrNt2zadgOzs2bM8evQIW1tbJa148eIUL15ceZ03b15MTU1xdnbWOfbs2bMpXbo006ZNw9AwrVG4cuXKuLm5ERoaSs+ePZW8ZcuW1dpHzZo1adSoEW3atGHYsGGEhYVhZPTffv5hxYoV9V2FbJGYpOL3xSc58XekzjZVSip/nQrnzsNofverKw8XF0LonXRZig9OE4xdvnyZ2bNn6wRjGk2aNGH79u2kpqZqpW/ZsoXatWtjZWX1Tsd3cnKia9euSjAGUKBAASwtLbl3795by+fJk4devXpx69Ytjh8/nmE+b29vRo4cycyZM6lbty6VKlWid+/ePH36lLVr1/Lll1/i4uJCt27diIiI0Cr3eveupgv12LFjHDt2jC5dugDQpUsXJW9KSgpz5szB09MTJycnnJ2d6dSpE0eOHAFg3bp1DB8+HIAGDRoo3ZSvd1m+fPmSwMBAGjZsiKOjI56enqxZs0arPh4eHkyfPp3ff/+d2rVr4+TkRM+ePbl9+/Zbr58+pKSmcvTio3SDsVfdfvCCVbuukZikemM+IYT40CQgEx/Uqy1jc+fOpVatWhnmbdasGY8fP+bUqVNKWmpqKtu2baN58+bvXIf+/fvTrl07rbSjR48SHR2t1er2JnXr1gXQqlt6Nm/ezOHDhwkICGD48OEcPnyYb775hiVLljBs2DBGjBjBuXPnGDNmTKbrb29vz8iRI4G0LtVRo0YBaePqZsyYQceOHZk3bx5jxowhKiqKQYMGERcXh5ubG/369QPSuin79++vs++EhAS+/vprNm7cSI8ePQgJCaFKlSqMGDGCWbNmaeVdvHgxt27dIjAwkN9++42LFy9+tGPRkpNTCd17I1N5dxy7K12WQgi9k3Z68cFogjHNQPTY2Ng35nd0dKR48eJs27aNatWqAXDy5EmeP39Ow4YNWbt27Xup17Nnz/j5558pWLAgrVu3zlSZ/PnzA/DkyZM35ktOTiY4OJg8efIAsHPnTg4ePMiuXbsoVqwYkDYebMOGDZmur6WlJWXLlgXSulQ1vz9+/JjBgwdrta6ZmZkxYMAArl69iouLi9KtW6FCBYoWLaqz73Xr1nHt2jWWL19OlSpVgLTgU6VSERISQqdOnZSWydy5cxMSEqJ02d67d4+goCCioqKwtrbO9Pn8G1FRUSQkJLw1X0KSiocPH2KRzr+cKrURSeocyusXsUk8fBpLiUK532dVhRAiSyQgEx/MxYsXsbKyYunSpYwYMQJ/f382bNhAgQIFMizTtGlT1q1bx4gRIzA0NGTz5s24ubm9t0HokZGR9OrVi3/++YdFixaRM2fOLJV/W0tKmTJllGAMwMbGhrx58yrBGICVlRUvX77MWsXTMWnSJCAtwLx79y63b99mz549QFpgmBnHjx+nSJEiSjCm0bJlS9asWcO5c+eoX78+kBYwvzp+rmDBggDEx8dnKiALCwsjLCxMJz0y8s3dihpxcXEEBQVlegmPihl8ZNRqOBfjgEr9v9tfkiolU/sUQogPRQIy8cHkyZOHP/74g/LlyzNhwgS++uorfvjhBxYsWKA1nutVzZo1Y/bs2Zw8eZIqVaqwY8cOfvnll/dSn6tXr9K3b1/i4uKYN29elmZMaoIGTRCSkfQCR3Nz86xVNJMuXLjA6NGjuXDhAmZmZpQtW5YiRYoAmV93LDo6Wmn9e5Um7cWLF0ra6+eheQ9fH/OXEU9PTzw9PXXSfXx8MlXewsKCAQMGZKqFTKVKYcSswyQm6QZaKrWRVjAGYGNlkak6CCHEhyIBmfhg7OzsKF++PJA2sL5fv34EBQUxe/ZsZWzT68qXL0+pUqXYtm0bycnJJCYm4ubm9q/rcuTIEXx9fcmVKxdLly7N9NgxjcOHDwMoXanvW0qKduAQFxf3xvwxMTH06tULOzs7wsLCKFOmDIaGhuzbt4/t27dn+rh58uTRWo9NQ9M1m11dkZmV2fokJKqoVdmOLYfvvDWvU7n8mJrIcFohhH7JXUhkm379+lGpUiWCg4M5ffp0hvmaNWvGzp072bx5M19++SU5cuTIMG9mXL58mX79+lG4cGFWrVqV5WAsJiaGBQsWYGdnR+XKlf9VXdJjaWnJo0ePtNJevz6vL7Vx69Ytnj9/TpcuXShXrpzSWrV//37gf61WGbVEalSrVo379+/rTFbYuHEjJiYmelt37d8yy2FMh4a2mJm+eYkSQwPwblJBlr0QQuid3IVEtjEyMmLChAm0bt2aoUOHEhoaqjXeSqNZs2bMmDGDjRs3EhIS8q+PO2LECFQqFX5+fjx8+JCHDx8q2/Lmzau1ntmNGzeUADAxMZFbt26xZMkSoqKimDZt2geZjefu7s6ePXsICAigYcOGnDp1ivXr12vlyZUrFwB79+4lT548lCpVCktLS2bNmoWxsTHGxsZs375dWa4iPj4eSBuID2mTC+rVq0eZMmW09tu2bVuWL1+On58fAwcOpFixYuzZs4e1a9fi5+enlP8vsrQw5Tef2oycc4S4BN1lLYwMDRjSuQolC+eWWZZCCL2TgExkqxIlSuDv78/IkSP56aefCAoK0slTtmxZbG1tefLkCbVr1/5XxwsPD+fy5csADBo0SGd7mzZtGDdunPL61eUoLCwsKFCgAK6urnTr1k1rYP775OXlxb179wgNDWXlypVUr16dadOm8dVXXyl5ypUrh6enJ8uWLePAgQOEhYUREhLC+PHjGTRoEDlz5qRChQosXbqU3r17c/LkSTw8PKhRowa1a9dm0qRJHDlyhDlz5mgd29zcnCVLljBp0iSmT59OTEwMpUuXJiAgQGepkP+aHCZGlCqchwU/N2LbkTvsOn6PqBcJ5DQ3oa5zEVrVL4N5DmPMTOU2KITQPwO1PHVYCKFHPj4+OmuevW/JqhRUKWqMDA1IVasxAHJIICZEpmTH36iQFjIhxGfAxNgIE7nbCSE+YjKoXwghhBBCzyQgE0IIIYTQMwnIhBBCCCH0TAIyIYQQQgg9k4BMCCGEEELPJCATQgghhNAzCciEEEIIIfRMAjIhhBBCCD2TgEyIT8i1a9cYPHgwderUwcHBAVdXV7799lvl8VEA3t7eeHt7Z7iPdevWYWdnR0RERHZU+YOJT1SRkKTi/I0nnLj8iPDIlyQkqUhJSdV31YQQQoesXS3EJ+L69et07NgRJycnRowYQf78+Xn06BFLly6lY8eOLFmyBGdn57fux83NjZUrV1KgQIEPX+kPIDVVTUKSigWbLrH3dASJSSnKthIFc9G5SQWcbW0wzyG3PyHEx0PuSEJ8IhYuXIiVlRXz5s3DxMRESW/YsCFNmzYlJCRE5+Hi6cmbNy958+b9kFX9oOITVQydvp+IxzE62+4+esnYRcfp3cqBRjVKYCZBmRDiIyFdlkJ8Ip4+fQqAWq3WSrewsGD48OE0bdo03XIHDhzAwcGB4cOHo1ardbos/f396datG2vXrqVx48Y4ODjQsmVL9u3b92FP6B3EJSQzc+25dIOxV83beJHnMYnZVCshhHg7CciE+ES4ubnx4MEDOnXqxLJly7h586YSnDVp0oQ2bdrolDlx4gR+fn40b96cgIAADAwM0t33xYsXmT9/PgMHDmTGjBkYGxszcOBAoqOjP+g5ZZVaDYfOP8hUvrV/XSc+UZUNtRJCiLeT9nohPhFff/01T548Yf78+YwZMwYAa2trXF1d8fb2plKlSlr5z58/T9++fWnUqBGBgYEYGmb8/9nLly9Zt24dxYsXB9Ja3b755huOHj1K48aNP9xJvSYqKoqEhIQMt5+5EompOhbT105FpTYiSZ1DK+3IhYf0auX4IaophBBZJgGZEJ+QQYMG0a1bNw4cOMCRI0c4duwYmzZtIiwsjOHDh9O1a1cAHjx4QO/evVGr1YwaNeqNwRikjSvTBGMABQsWBCA+Pj7TdQsLCyMsLEwnPTIyMlPl4+LiCAoK0umSfV1FS900tRrOxTigUv/vlpeQmIKRYfotgkIIkd0kIBPiE5MnTx48PT3x9PQE4PLly/zwww9MnDiRli1bAhAREYGrqyvHjh0jKCiI4cOHv3Gf5ubmWq81XZupqZlfQuLVOr3Kx8cnU+UtLCwYMGDAG1vIrt59xsy153XSVWojrWAMIL+VOSpVKsZGMnJDCKF/cicS4hMQGRmJq6srq1ev1tlWsWJFvv32W5KSkggPDwegXLlyzJ49m549e7JkyRLOn9cNYj5G1tbWFCpUKMOf2lXKY2JhRVyqhdbP692VAI1rlsDISFrIhBAfBwnIhPgE5M+fH2NjY5YvX05iou7swVu3bpEjRw5KlCgBpAU2xsbG9OvXj8KFCzNixAiSk5Ozu9rvnVqtpnX9sm/Nl8vChMY1S2BibJQNtRJCiLeTgEyIT4CRkRG//PIL165dw8vLixUrVnD8+HH27dvH2LFjmTZtGn5+fuTJk0ernJmZGT///DPXrl1j7ty5eqr9+5PD1BhP11J8WaN4hnkszU0Y268OJsZy+xNCfDxkDJkQnwg3NzdWrVrF/PnzmTVrFs+ePcPU1JSKFSsyZcoUGjVqlG65+vXr07hxY2bOnJmtMyY/FDNTY/q0dsS9SjHW7rnOmauPSVWDlWUOmtQqSct6pTEzNZLWMSHER8VA/bYpS0II8QH5+Pgwa9asD7LvuIRkzEyNSVWrQQ0pajU5TCQQEyIrPuTfqPgfaSETQnyyLMzSHiFlSNrgfbnhCSE+VjKIQgghhBBCzyQgE0IIIYTQMwnIhBBCCCH0TAIyIYQQQgg9k4BMCCGEEELPJCATQgghhNAzCciEEEIIIfRMAjIhhBBCCD2TgEwI8UlRpySTmpSgk56alJBuuhBCfAxk4WrxWfL29ub48eNaaQYGBuTMmZPSpUvTrVs3mjdvrmy7du0aM2fO5Pjx40RHR2NlZUXVqlXp06cPFStWVPL5+/sTGhqqtV9jY2Osra2pVasW3333HYUKFQJg3bp1DB8+nN27d1O0aFGdOgYFBREcHMzVq1fTPQc/Pz8sLS0ZN26cVrpKpWL69Ols2LCBqKgoKlSowA8//ECVKlWUPB4eHty/f1/r3PPkyYOLiwvffvst5cuXV7ap1WpWrVrF0qVLiYiIIG/evHh4eDBo0CAsLS0zvMb6kJqcQOTaieR2/hLz0pUwNDVLS09KIOrgagCsXdsr6UII8bGQgEx8tipWrMioUaOU1ykpKTx69IhFixbx3XffkStXLurVq8f169fp2LEjTk5OjBgxgvz58/Po0SOWLl1Kx44dWbJkCc7Ozsp+bGxsCA4OVl6rVCpu377NxIkTOXPmDGFhYZiZvXtAkJKSwtixY9m5cydt2rTR2R4QEEBoaChDhw6lcOHCLFy4kF69erFu3TpKlSql5Ktfvz79+/dX6vj48WMWLFhA165d2bJlC/ny5QNg3rx5TJkyhZ49e1KrVi3u3r3LtGnTuH79OgsXLsTAwOCdz+V9Sk1OIHL1eOJvnyP+1jm+aDsU89LOgJqog6uJPrJeyStBmRDiYyMBmfhsWVpaagVSGvXr16dWrVqsXbuWevXqsXDhQqysrJg3bx4mJiZKvoYNG9K0aVNCQkKYM2eOkm5qaqqz36pVq2JiYsKwYcPYvXu3VutbVly5coVff/2VixcvphvUPXz4kFWrVvHjjz/SuXNnAFxdXWncuDHz5s0jICBAyZs3b16dejo6OtKwYUO2bdtG586dSU1NZc6cOXTs2JEhQ4YAULt2baysrPj222+5ePEijo6O73Qu71NqchJxN88Sf/tcWoI6lch1E7Hx9CUp8g7RxzcpeV8c30xul0YYmJhiYCCjNoQQHwe5GwnxGlNTU63A6+nTp0Ba192rLCwsGD58OE2bNs3UfjWBy6tdhVk1bNgwUlNTWblypdKC9aojR46gUqlo1KiRkmZqaoqbmxv79u176/6trKy0XsfExNCyZUs8PT210jUtbeHh4e9wFu+foYkpFqWdyftlj/8lqlN5silIKxgzMDKh4NcjMbK0kmBMCPFRkRYy8dlSq9WoVCrltabLcsaMGcTGxtKqVSsAJZjp1KkTXl5e1KxZk9KlS2NgYECTJk0yfbzbt28DULx4ca301NRUrXq8mv6633//XWt81+tu3ryJhYUFNjY2WuklSpTgyZMnxMbGkjNnTkD7/FNTU3n69CnTp08nf/78SpCZO3dufv75Z53j7NixA4By5cplWJcPISoqioSEjAfmpxa0R1W9I9HHNipppqSQyyBJCcZyFCqDoUmO7KiuEEJkmgRk4rN14sQJ7O3ttdIMDAywtbVl2rRpeHh4APD111/z5MkT5s+fz5gxYwCwtrbG1dUVb29vKlWqpLPvVwOsmJgYLly4QGBgIEWKFKF+/fpaeb/88stM1/lNwRjAy5cvyZUrl066JgiLiYlRfl+/fj3r16/XymdgYMCECRPImzdvhsc4ffo0c+fOpWHDhlkKyMLCwggLC9NJj4yMzFT5uLg4goKCdFoq0/e/ehmgpp3RZfLbu2JWxBYDI7ntCSE+PnJnEp8te3t7Ro8eDaQFBdOmTSM5OZkpU6ZQpkwZrbyDBg2iW7duHDhwgCNHjnDs2DE2bdpEWFgYw4cPp2vXrkre+/fv6wR6AJUqVWLMmDGYm5trpc+cOVOnRQtg1apVrFq1KkvnlJqamu4ge00QY2j4v246d3d3fH19le3Pnj1j69atDB06lPj4eDp06KCzn5MnT+Lj40Px4sW1xqNlhqenp07XJ4CPj0+myltYWDBgwIA3t5AlJ/Li7C5izu9V0kxJwcwghZgL+8hZrprW7EshhPhYSEAmPls5c+ZUxnU5Ojri4uJCq1at6NGjB6GhoTqtRHny5NEKKi5fvswPP/zAxIkTadmyJdbW1kDaLMuZM2cq5UxNTSlYsCB58uRJtx62trbpLnuxd+/eLJ9Trly5iImJ0UmPi4tTtmtYWVnpDMh3c3Pj8ePHTJgwAS8vL4yMjJRtmzdvxt/fn1KlSjF//nyd8WbZQXON06NZ2iLxwlZypDfx8/8H+qfNvpSgTAjxccnWUa2JiYkcPHiQlStXEhkZyYsXL3jy5El2VkGIDOXLl4+RI0fy6NEjpfUnMjISV1dXVq9erZO/YsWKfPvttyQlJWkNbjc1NcXR0VH5sbOzyzAYe99Kly5NTEwMz54900q/e/cuRYoUydRyG+XLl+fFixdERUUpafPmzWPIkCE4OzuzbNmydFv09ClVlUTc9ZNaS1sYGJlQ8KuR5G3wv9ZLTVCWEvsctVp3jJ4QQuhLtgVkO3bswN3dnd69e/PLL79w69Ytzp49i4eHBwsXLsyuagjxRo0aNaJu3bqEhYVx7Ngx8ufPj7GxMcuXLycxMVEn/61bt8iRIwclSpTQQ2111a5dG4Bt27YpaUlJSezduxdXV9dM7ePcuXPkyZNHaY36888/mTBhAk2aNGH+/PnpjlHTN0NjUyxsq5GzYto5agbwmxUrT+7KjbRmX+Zt2A2jnDLLUgjxccmWLsvTp08zePBgSpQoQYcOHZg9ezYABQoUoHDhwowfP55ixYrRsGHD7KiOEG/0448/0rJlS3777TdCQ0P55Zdf8PX1xcvLi86dO1OmTBni4+M5dOgQy5YtY9CgQdnWAvY2RYoUoU2bNgQGBpKYmEjJkiVZuHAhL168oGfPnlp5nz17xtmzZ5XX8fHxrF+/nlOnTvHdd99hZGTEkydPlMkI33zzDZcvX9baR/Hixd84ASA7GZrkwMazPwbGJuSq5KE1mzK3cwMlX27nBtJdKYT46GRLQDZz5kyKFCnC2rVriY+PZ9asWUBa18jatWvp0KEDixYtkoBMfBRKly6Nt7c3CxYsYOnSpXTr1o1Vq1Yxf/58Zs2axbNnzzA1NaVixYpMmTJFa82vj8GYMWPInTs3c+fOJS4uDnt7exYuXKjTirdv3z6ttcksLCwoVaoUo0aN4uuvv1byJCQkcP/+fWWh2VcFBgbStm3bD3tCWWBokoP8TfuAWq21tIWhqZkSlEkwJoT4GBmoMzeH/F+pVq0aPXv2xMfHh6ioKGrVqsXChQupVasWAAsXLmT27NkcPXr0Q1dFCPGR8fHxUf5JE0J8fORvNHtkyyCKpKSkN3bpGBsbv3EquxBCCCHEpyxbArJSpUpx/PjxDLfv2bPnoxkULYQQQgiR3bIlIPPy8mLbtm0sXLiQ2NhYIG1F8OfPn/PLL79w9OhR5TE1QgghhBCfm2wZ1P/NN99w5swZfv/9d8aPH4+BgQF+fn7ExsaiVqtxdXXVWulcCCGEEOJzki0BmYGBAZMnT+bLL79k8+bN3Llzh5SUFFxcXGjcuDFt27bVeqSLEEIIIcTnJFsCshUrVlCrVi2aNm1K06ZNs+OQQgghhBD/GdnSLDVx4kQ2bdqUHYcSQgghhPjPyZaAzNDQ8I0PBRZCCCGE+JxlS0DWs2dP5syZw4EDB0hNlQf6CiHeH3WKCnVKsk56anIiqcmyvqEQ4r8hW8aQnT17lpiYGPr06YOpqSnW1tYYGRlp5TEwMGDXrl3ZUR0h/tP8/f0JDQ3NcPv48eOVZWTWrFnDiBEjqFu3LvPmzVPyBAUFERwc/NZjXb16VSfNz88PS0tLxo0b9w61f79SkxJ4sikIa/dvMMmTHwMjEyU96sBKzIrbY17SAUMTeVySEOLjli0B2bVr17CyssLKykpJe/2JTdnwBCchPhk2NjYZBlTFixdXfl+7di22trYcOnSI8PBwihUrBkD79u2pW7eukm/16tWsWbOGlStXZnjMlJQUxo4dy86dO2nTps17OpN3l5qUwKNVgSTcvUj83UsU7haISR4b1Ckqnu1bwYvjYUQfC+OL9sMkKBNCfPSyJSDbs2dPdhxGiM+Gqakpzs7Ob8xz+/ZtTp8+zZw5c/j+++9ZtWoVQ4YMAaBgwYIULFhQyXvgwAGADPd55coVfv31Vy5evIiZmf4Dm9TkJKKPh5Fw92La6/iXPFg0nEJfj+TlhX28OB6WllGdyv+1d9/xOZ3/H8dfd8adiSQksXcTRNKokaogxG7sldq0SBDjqypqt0VL0UpK7NpCzAYlpVZLbFXUJmaMhMge9/n9kV/uut0JsXKHfp6PRx51X+c617nOkaRv17nOde5u/IEyg+cZsLdCCPF8sviXEO+odevWUaBAAWrXrk2zZs1Yt24dqampL9XWyJEj0Wg0hIaGUrhw4dfc0xdnZKqmkEdLrJw/1JZpkh5zc+GIf8MYoDJRU+yTsWBknF0zQgiRb+TJCFlu5qqoVCoGDhyYB70R4t2Qnp6uV2ZsbIxKpSIjI4NNmzbRokUL1Go17dq1IzQ0lN9++40WLVq88LG+++47KlWq9Dq6/doYmZph33owbIKEcwf1tqtM1BTrOgG1Y1mMTM0M0EMhhMg9gwcylUqFoigSyIR4ATdv3sTFxUWvfMiQIQwYMIC9e/dy9+5d2rdvD2TeiqxYsSKrVq16qUCWX8JYbGwsycm6T04qtbsQe+mc9olKNRkUUKVi81E7zIqWR2ViaoiuCiHEC8mTQLZ06VK9soyMDO7du8emTZuIjo5m3jyZ4yFEbtnb2zNnzhy9ckdHRyDzdmWZMmUoV64ccXFxADRv3pygoCAuXbpEhQoV8rS/AOHh4YSHh+uVR0dH52r/xMREgoKCcngAqJT2TyoUOhif4dHhLVi5eOo8fSmEEPlVngSyWrVq5bitZcuWdOvWjUWLFjFmzJi86I4Qbz21Wo2rq2u222JiYti9ezdpaWnUrFlTb3toaChffvnlm+6iHh8fH3x8fPTK/fz8crW/paUlAQEB2hEyTVoKcUe3E396n049NRmYqzK0E/0zn76UUCaEyN8MPqlfpVLx8ccf8+uvvxq6K0K8EzZt2kRaWhrBwcEsXbpU58vDw4ONGzfq3fZ7W9ja2lKsWDEci9hhdeskZmd2UFiVRGFVEkVMM6jSMYCilT7Q1s8KZUq6/sKxQgiRn+TJCNnzJCUl8fjxY0N3Q4h3wvr163F3d6dx48Z622JiYhg6dCjbtm3LF2uJvSyViZoC7o2IP7WH1LvX/p3AX7QcFuXdYbOKhH8OAGBb3xdUBv+3pxBCPJNBf0ulpqZy9OhRlixZYpA5LUK8a/766y/Onz/Pxx9/nO12b29vChUqxOrVq/O4Z6+XSqXCyMySYt2/xqz4e/8+TWmiznz6slUAVpU+onCzvhRw9cJIbfi104QQ4lnyZISsUqVKqFSqHLcrikJgYGBedEWId9q6deswNjbO8UlKtVpN8+bNWb16NWfPnqVy5cp53MPXJyuUFe85GSUjTWdpi8wlMQJAo5EwJoR4K6iUPHhnUffu3bMtNzExwcHBgfbt2z9z4r8Q4t3l5+dHSEiIobshhMiB/IzmjTwZIVu2bFleHEYIIYQQ4q2UJ3PIRo0axcmTJ3PcfuDAAT799NO86IoQQgghRL6TJ4Fsw4YNXL9+Pcfthw4d4tChQ3nRFSGEEEKIfOeN3LKMiori448/1nnX3ogRIxgxYkSO+7z33ntvoitCCCGEEPneGwlkpUuXZvDgwezduxeAI0eOUK5cOQoXLqxX19jYmMKFC9O3b9830RUhhBBCiHzvjU3q79u3rzZkVapUCX9/f1q2bPmmDieEEEII8dbKk6cs//nnn7w4jBBCCCHEWylPX5109uxZEhISeHLps/T0dB4/fsy+ffv4+uuv87I7QgghhBD5Qp4EsqioKPz8/Lhy5coz60kgE0K8CEXRQEYGKhNT/W3paWBkjMpI3mMphMj/8iSQ/fjjj1y5coWmTZtibm7Opk2b6NevHw8ePGDHjh2kpaWxatWqvOiKEAbTvXt3veVdTE1NKVKkCA0aNGDo0KEsXbqU4ODg57Z17tw51q9fz6hRo3TKjYyMsLa2xtXVlYEDB1K9enUAIiMj6dGjh147arWawoULU7t2bYYPH06RIkVyrG9qaoqtrS21atViwIABBn//rKJo0CQnErtnFXYNe2Ck/vfVSZq0FGJ2LcO2bmeMzK0klAkh8r08CWSRkZG0aNGC6dOnExcXx8aNG/Hy8qJatWr07duX9u3bs2PHDipVqpQX3RHCYKpUqcL48eO1n9PS0jh9+jQzZszg7NmzzJw5k7p162q3r127lrCwMEJDQ3NsMzg4GHt7ewA0Gg3379/np59+omfPnoSFhen8XI0bNw4XFxft54SEBI4cOcL8+fO5fPmy3nGerJ+cnMz169eZP38+HTp0YMmSJbi5ub3aBXlJWWHs1pIvSXtwk7SH0Ti2G4GR2gxNWgp3108n8eJRki6foHjPKRLKhBD5Xp4EsocPH1KjRg0AChYsSLFixThz5gzVqlWjTJkytGvXjoiICAYPHpwX3RHCYKytrXF3d9cpq1mzJgkJCcyaNYvo6Gid7fv27QPQ2+dJlStXpmTJkjplVapUoXHjxqxcuZKvvvpKW16xYkW9turUqUN6ejrz5s3j4sWLVKxYMcf6H374IU2aNKFt27aMHDmS8PBwjI2Nc3fyr5WK6HXTSHtwE4CkS8eJXj8Nx3afc3fDDBIvHgUgLeY20WHfUay7TIcQQuRvefJPRgsLC53PJUuW5OLFi9rPTk5O3LlzJy+6IkS+VLVqVQBu3br1WtorWbIktra2uW6vQIECuW67UKFCfPbZZ1y+fNlgb9hQNBk4tAzA2NpGW5Z06ThXp3XThjEAY6tC2LcegqLJMEAvhRAi9/IkkDk5OfHnn39qP5cuXZq///5b+/nevXt50Q0h8q2sB15KlSr1WtqLjY0lNjaW0qVL65RrNBrS09O1X48ePWLnzp0sXLgQV1dXypcvn6v2s26rHj169Dk13wwjYxOMrG0o0es7nVAG/z7BbWxViOK9v8PY2hYj4zx9oFwIIV5YnvyWatOmDWPHjmXgwIFMnToVLy8v1q1bx8yZM3F2dmbZsmU4OTnlRVeEMChFUXReKfbo0SMOHTrEnDlzcHd3146UvYiskAWQkpLCtWvXmDZtGkZGRnTu3Fmnbq9evfT2L1SoEN7e3owYMQKjXM6zypr8n9f/mIqNjSU5OVn7WdFkoDToz4PNs7RlajIooErFscNITKztUBnklqoQQryYPAlkHTt25MKFC6xcuRITExMaNWpE/fr1mTt3LiqVClNTUwICAvKiK0IY1OHDh3Um1UPmk5G1a9fm66+/RqVSvXCbjRs31isrUaIE06ZNw9nZWad84sSJuLi4kJGRwW+//caiRYvo2rUrQ4YMeeHjAi/U3/DwcMLDw/XKo6Ojc7V/YmIiQUFBOusY/uvfd+GqUOhgfIbYfWtwbP+FBDIhxFshz8bxv/zySwYMGICZWeaj6T/99BNbtmzh4cOHeHp6GvwReiHygouLCxMnTgQyw4yZmRnFihXD2tr6pducM2eO9inLrKUpHB0ds61brlw5XF1dgcwHBSwsLJg1axYWFhb069cv18fMClFFixbN9T4+Pj74+Pjolfv5+eVqf0tLSwICArQjZJr0VGJ2LSf5+lmdemoyMFdlkHT5BNHrpuLY/gudJTGEECI/ytOJFTY2Nv8e2MSE1q1b5+XhhTA4KysrbSB6XZycnPSesswtPz8/fvvtN2bNmoWXl1eupw5kzQmtWbPmSx33Zdna2gKgZKRxd8MPWN04htX/D9IZW9lg17A7Mb8vIyM+FYCkyye4u3EGju0/R2Wsv3isEELkF3m2ME9qaioLFy7E19eXunXrcuTIEU6fPs3XX3/NgwcP8qobQognGBsbM378eNLT03P9poz4+HgWLVqEs7MzH3zwwRvuYfYUjYaCNZvD/0/WN7ayoXjvb7F28dSd6G9kQsGaH6NoNAbppxBC5FaejJClpKTQs2dPTpw4gZmZGampqaSlpXH//n1WrFjB/v37WblyJYULF86L7gghnuDu7k6rVq3YtGkTW7Zs4eOPP9Zuu3jxonaaQUpKCpcvX2bZsmXExsby448/vtSct9fByNQMs+LvUeyTsdzbHEyxHl9jbG2L6omnL28tHUMRnwGYl3TGyFRuWQoh8rc8GSELCQnh5MmTTJo0iZ07d2on5TZt2pTx48dz48YN5s6dmxddEUJkY8SIEVhZWfHdd9+RmJioLf/qq6/o3LkznTt3xs/Pj59//pnatWuzceNGvYcT8lpWKCs14CedpS2ylsQoNeAnCWNCiLeGSsn+kaXXqmnTplSrVo1vv/2W2NhYateuzeLFi6lduzYAY8eOJTIykh07drzprggh8hk/Pz9CQkIM3Q0hRA7kZzRv5MkI2a1bt5756hc3NzdZqV8IIYQQ/1l5EsgKFCjwzIn7UVFRL/TqFiGEEEKId0meBLIPP/yQtWvX8vjxY71t169fZ/Xq1Xn++LwQQgghRH6RJ09ZBgQE0KFDB1q3bk39+vVRqVTs3LmTnTt3sn79ejIyMnK9OKQQQgghxLsmT0bIypUrx+LFi7G0tGTVqlUoisLy5ctZvnw5tra2hISEUKlSpbzoihBCCCFEvpNnK/W7ubkRHh7OuXPnuHLlChqNhpIlS1K1atVcv9BYCCGEEOJd9EYCWeXKlZk6dSotW7bU2+bs7Kz3wmMhhBBCiP+yNzI0ld3SZrGxsVSuXJkDBw68iUMKIYQQQry18vReYR6sQSuE+A9RFAVNWkq223IqF0KI/EgmbwnxDjl16hQjRozAy8sLNzc3vL29GTNmDNevX9fWCQwM1E4dyPqqVKkS1apVo3Xr1ixdujTH9uPj42nYsCHr16/Pi9N5JkVR0KQkEnd0O5rUZJ1tmrQUHkX+olcuhBD5VZ5N6hdCvFkrVqxg8uTJeHh4MHz4cBwcHIiKimLBggXs2LGDxYsXa98/aW9vT3BwsHZfRVG4f/8+q1evZtKkSajVanx9fXXaf/jwIf7+/ty8eTNPzys7WWHs9rKxpN69Rnrcfey8umCkNkeTlsK9X4JJOPsnSVf+omjnLzFSmxu6y0II8UwSyIR4Bxw9epRJkybRtWtXRo8erS338PDA29ubdu3aMWrUKDZv3gyAWq3O9nVmXl5eNG7cmLCwMJ1A9ttvvzFp0iSdF48blKJwZ/U3pN69BkDc4S0AFG7USxvGAJKjTnN38ywc2w5HZWxssO4KIcTzyC1LId4BCxcupECBAvzvf//T22ZnZ0dgYCBNmjQhPj7+me2Ymppibq47mhQXF0dAQAC1atViwYIFr7XfL0vJSKNw496oTNTasrjDW7g2o6c2jAEYWVhj16AbKBpDdFMIIXLtjY2QRUREcO3aNe3n5ORkVCoVmzZt4ujRo3r1VSoVAwcOfFPdEeKdpSgK+/fvp2HDhlhYWGRbp1mzZnpl6enp2j9rNBru37/P8uXLuXLlCmPHjtVuMzc3Z8uWLZQvX54bN268/hN4CUamZqgdylCs20RuLx+Pkp4KgCbl3xE8Iwtrivecgmkhe1QmpobqqhBC5MobC2Q7duxgx44deuUbN27Mtr4EMiFeTmxsLCkpKZQsWTLX+9y8eVM7n+xJZcuWZfz48XzyySfaMrVaTfny5V9LX19VbGwsycn/TtTXaMxR6n/Kg99+BkBNBgVUmeGs6CfjMLVxQGUsMzOEEPnfG/lNNWXKlDfRrBAiG1lvusjIyMj1Pvb29syZMwfIDDlz584lKiqKyZMnU7169TfSz/DwcMLDw/XKo6Ojc7V/YmIiQUFBOSyf8x4AKhQ6GJ/BXJVB/F+7UTfoKoFMCPFWeCO/qdq2bfsmmhVCZMPGxgYrKytu3bqVY53ExERSU1OxsbEBMke9XF1dtdtr1qxJp06d6NevH2vXrn0jI2I+Pj74+Pjolfv5+eVqf0tLSwICArQjZJr0VGL3hpJ05S9tHTUZmKsyg2ncka2gUmmfvhRCiPxMJvUL8Q7w9PQkMjKSlJTsF0Ndv349tWvX5vjx49lut7CwYPLkySQmJvLll1/m20WcbW1tKVasGI5FCmNyOAzLq5EUViVRWJWEvaUxpeu305voH7NntSwSK4TI9ySQCfEO6NOnDw8fPmTmzJl62x48eMCCBQsoU6ZMtktdZHF1daVTp04cP36cDRs2vMHevgaKBouyVbUfsybw29RuQ7FuE/8NZSojLMpUgXwaMIUQIosEMiHeAe7u7gwZMoTFixfTt29ftm7dyoEDB1i6dCnt27cnISGBWbNmoVKpntnO0KFDKVSoENOnT+fx48d51PsXZ6Q2x7pqfYo076f3NGXW05cqtQWOHUZgUdZNblkKIfI9CWRCvCP8/f2ZN28eKpWKKVOm0K9fP5YtW0a9evXYtGkTTk5Oz23D1taWIUOGcP/+fWbNmpUHvX55WaGs9MA5OktbZC2JUWbwPAljQoi3hkrJr5NFhBD/CX5+foSEhBi6G0KIHMjPaN6QETIhhBBCCAOTQCaEEEIIYWASyIQQQgghDEwCmRBCCCGEgUkgE0IIIYQwMAlkQgghhBAGJoFMCCGEEMLAJJAJIYQQQhiYBDIhxFstpxeHa9JT87gnQgjx8iSQCZHPde/eHWdnZ52vGjVq0KNHDw4dOqRX/8qVK0yYMIFGjRrh5uaGl5cXw4YN459//tGpFxQUhLOz83OPf/36dYYOHYqnpyfVq1fH19eXAwcOvLbzexWalESSrp5Ck5qsW56WQsKZP/XKhRAiv5JAJsRboEqVKoSGhhIaGsrKlSv59ttvMTU15dNPP+XChQvaehEREbRt25bTp0/j7+/P/PnzGTZsGNevX6djx47s3bv3hY778OFDunXrxqVLl/jyyy+ZOXMmDg4O9OnTJ9swmJc0KYncWjaO6DXfknD+kDZ8adJSuBc+m3u/BBHz+woJZUKIt4KJoTsghHg+a2tr3N3ddco++ugjateuzfr16xk5ciRRUVF88cUX1K1blx9++AFjY2Nt3aZNm9KlSxcCAwPZtWsX5ua5e+H2hg0bePDgAWvWrMHR0REAT09PWrduzcKFC6lVq9ZrO8cXoWSkc2vZOFKjrwBwb9MsaD0YaxdP7oXPJuHMfgDijmxFZWqObd2OGJmqDdJXIYTIDRkhE+ItZWFhgZmZGSqVCoBly5aRmprKmDFjdMIYgLm5OSNHjqRDhw7ExcXl+hiOjo706tVLG8YAjIyMKF26NFFRUa/nRF6CkpFOwepNnyzh3qZZXJ8zWBvGAIzMrSng5qW9RkIIkV/JCJkQbwFFUUhPT9f++eHDhyxdupTU1FTat28PwL59+6hSpYpOeHqSh4cHHh4eL3TcFi1a0KJFC52yhw8fcujQIWrXrv0SZ/J6GKnNsXapC8D9rSH/X6qQHnv73zrm1hTvORlTGwdUJqYG6KUQQuSeBDIh3gKHDx/GxcVFr/x///sfFSpUACA6OprKlSu/0X5kZGQwevRoEhMT6du37xs9VnZiY2NJTv53Tpim8HukVW9H3JFtAKjJoIAq8+nK4j2+kTAmhHhrSCAT4i3g4uLCxIkTgcwRsri4OPbu3cvMmTNJTExk2LBhqFQqMjIy3lgf0tLSGDlyJL/99hsTJkzA1dX1hfYPDw8nPDxcrzw6OjpX+ycmJhIUFISiKNlsfQ8AFQodjM9grsog5c5lTArZo0ICmRAi/5NAJsRbwMrKSi8AeXp6kpiYyIIFC+jRowclSpTg1q1bObaRnp5OTEwMDg4OL3z8R48eMWjQIA4fPsy4ceP45JNPXrgNHx8ffHx89Mr9/Pxytb+lpSUBAQHaETJNeiqxe9eQdOWkto6aDMxVmaH03uYgaK3CyqkWRurcPcQghBCGIpP6hXiLVa5cmfT0dG7cuIGnpydnzpzh3r172dbdt28fdevWZcuWLS90jNu3b+Pr68uJEyeYMWMGXbt2fR1dfym2trYUK1YMxyJ2mBxeh+XVgxRWJVFYlYS9hTHF3T2fqJ050f/JJTGEECK/kkAmxFvs+PHjGBsbU6pUKbp27YqpqSnffPON3q3LpKQkZs2aRaFChWjQoEGu24+Pj6dXr17cvXuXRYsW6U3wNySVqZn2z1kT+Is060eRFv5PVFJhZGKWzd5CCJG/yC1LId4C8fHxnDhxQvs5LS2NnTt38ssvv9C5c2fs7Oyws7NjwoQJjB49mq5du+Lr60uxYsWIiori559/5tq1a8yfPx9LS0udtn/++We941lbW9OhQwdmzZrF1atXCQgIwNTUVKcParWaKlWqvKEzfjYjUzOKNPsMgMTzh3SeprR2yRwlu79tLo7tPsei/Ptyy1IIke+plOxnyAoh8onu3bvrrYpvZmZG6dKl8fHx4dNPP8XU9N+J68eOHWPJkiWcPHmSBw8eYG9vT7Vq1fD396dixYraekFBQQQHB2d7zBIlSrBr1y68vLy4ffv2M+u8Kj8/P0JCQp5fMRuatBQ0yfEYWxTUeZpSk5pMRtJjjC0KSBgT4hW9ys+oyD0JZEIIg3rVX/aKomS78GtO5UKIFyOBLG/IHDIhxFstp9AlYUwI8TaRQCaEEEIIYWASyIQQQgghDEwCmRBCCCGEgUkgE0IIIYQwMAlkQgghhBAGJoFMCCGEEMLAJJAJIYQQQhiYBDIhhBBCCAOTd1n+hwUGBrJhw4Yct9vY2BAZGQn8+5qdc+fO5djWoUOH2LVrF+vXr2fUqFHPPf7OnTspWbLkM+vEx8fTqlUrBg0aRLt27XS2nTt3jmnTpvHXX3+hVqupU6cOI0aMoEiRIto6iqKwaNEiQkNDuX37NsWLF6dHjx507do12+Olp6fTuXNnLC0tWbZs2XPPATJXsfb29qZjx47asocPH7Jy5UoiIiK4ceMGqamplChRAm9vb/r06YOtra227tN/DyqVCnNzc0qWLEnz5s357LPPMDPTfUH2zZs3mT17Nvv37+fBgwdYW1vz/vvv07t3bz788EO9PkZHR7NkyRJ27drF7du3KVCgAC4uLnz22WfUrFlTp+7Zs2eZMWMGp06dQlEUXFxcGD58OC4uLgDExMTQtm1bli9fTqlSpXJ1jYQQQjybBLL/OHt7+xzfZ2hi8nLfHl5eXoSGhmo/7969mzlz5hAcHIy9vb223MHB4ZntPHz4EH9/f27evKm37d69e/To0YPixYszZcoUkpOT+f777+nbty9r1qzRvttx6tSpLFu2jMGDB+Pq6srevXv56quvMDExoXPnznrtzps3j7///ptatWrl6lzXr1/P7du3ad++vbbs/Pnz9O/fn7S0NLp164arqyvGxsacOHGCJUuWsHXrVkJDQ3WC45N/DxqNhsePH3P48GHmzJnDH3/8weLFi7Wh7N69e3Tu3BkHBweGDRtG8eLFiYmJYe3atfTq1YtZs2bRpEkTbdtHjx5l4MCB2Nra0qNHD8qVK8ejR49Ys2YN3bt355tvvqFDhw4AREVF0bVrV1xcXJg0aRJGRkYsWrSILl26sGHDBsqXL4+dnR29evXiyy+/ZOnSpbIivhBCvA6K+M8aOXKk0qBBg1zVnTVrluLk5PRSba1bt05xcnJSrl+/nuu+RUREKF5eXkqtWrUUJycnZd26dTrbV69erTg5OSnXrl3Tlu3Zs0dxcnJSIiMjFUVRlKioKKVSpUrK8uXLdfYdMmSIMmjQIL1jnj17VnFzc1Pq1KmjdOvW7bl9TE5OVj766CNly5YtOmXNmzdXGjRooNy/f19vn6ioKKVatWrK2LFjtWXPunY7duxQnJyclNmzZ2vLgoODFVdXVyUuLk6nbnp6utK2bVulRYsW2rLY2FjF09NT6dy5s5KYmKhTPyMjQ+nfv79StWpVJTo6WlEURfn666+V2rVrKwkJCdp6iYmJioeHhzJx4kSd86xVq5ayY8eOZ16j3Ojfv/9L75uWka5oNJpnfqVlpL9yH4X4L3uVn1GRezJCJvKduLg4AgICaNWqFd26ddOO3jwpNTUVAGtra21Z1m3Ahw8fApm3RNVqtc6tRIAffvhBr720tDRGjhxJ9+7dOXnyZK76GRYWRlJSEg0bNtSWbdu2jUuXLjF37lwKFy6st0+pUqXw9/cnMTExV8do3Lgxbm5urF69Gn9/fwDu37+PSqVCo9Ho1DU2Nmb48OFcvHhRW7Zx40bu3r3LTz/9hIWFhU59IyMjhg8fTtmyZYmPj8fBwYHy5cvTp08fLC0ttfUsLCwoWrQoUVFR2jIzMzOaNGnC3Llzady4ca7O5U0wVhnRec2AZ9YJ7TQ7j3ojhBAvTyb1C9LT07P9UhTlleq+LHNzc7Zs2cJ3332nM9fqSc2bN8fBwYGvvvqKu3fvcv36daZOnYq9vT21a9cGMudClS1blsOHD9OuXTtcXFxo0KABK1eu1GsvODiYtLQ0Bg8enOt+bt68mQYNGmBubq4t++233yhUqBD16tXLcb++ffsyZMiQXB/H09OTO3fuaG/denl5kZycTKdOnVi4cCFnzpwhIyMDgDp16tCzZ0/tvvv27aNw4cK4ubll2/Z7771HYGAg5cuXB6BLly589tlnOnWuXLnChQsXeO+993TKmzdvzqlTp7hy5Uquz0UIIUT2ZITsP+7mzZvaydpPGzJkCAMG6I4+5FQXoESJEq+lT2q1WhsQclKkSBHGjx/P8OHD2bZtGwCFChVi6dKlFChQAMicfB4dHc3nn3/OoEGDKF++PFu3bmXixIlAZvgA+Ouvv1i0aBErVqxArVbnqo/x8fGcOnWK5s2b65RHRUVRqlQpjIx0/62TkZGhF1pzO0cva67Z/fv3KVGiBPXr12fcuHHMmDGDqVOnApkjhbVr18bX1xdPT0/tvtHR0c99cOJZkpKSCAwMxMzMjB49euhsc3V1BeDAgQOUK1fupY/xImJjY0lOTtZ+VhQF8+R/r2OGkUKaOiNP+iKEEK+TBLL/OHt7e+bMmZPtNkdHR72ysLCwbOv+9NNPnD9//oWO/XRIMTIy0gsyOfnll18YMWIEzZs3p3379iQnJ7Nw4UL69OnDsmXLqFChAmlpacTGxhIUFKSd5F67dm1u3brF7Nmz6dKlCykpKQQGBtKzZ88cR5Gyc/v2bTIyMvTCTk4jhQ0aNCA6OlqnLDdPmT7pycnzXbt2pV27duzfv58DBw5w6NAhIiIiiIiIoHfv3gQGBmr3yRo9e1Hx8fH4+/vz999/ExwcTLFixXS2FyhQgIIFC3Ljxo1ctRceHk54eLhe+dPXJSeJiYkEBQXpXeMKPPFULQrnKt4lw+T1jdgKIURekED2H6dWq7UjHbmRU10bG5sXPnbjxo11nqBs27Yt3377ba72DQ4O5oMPPmDmzJnasjp16tCiRQt+/PFHZs2ahZWVFSqVivr16+vsW7duXfbv38/9+/dZuHAhGo2GAQMGkJ6eDvwbqtLT0zE2Ns72KcLHjx8D6My1gsxRwpMnT6Iois5+8+bNIy0tDch86jSnJ1uzc/fuXUA/IFtYWNC4cWPtHK5r164xevRoFi9eTLt27XBycqJEiRL89ddfz2z/9u3bemHr9u3b9OvXj6tXr/LDDz/QoEGDbPe1sLAgPj4+V+fh4+ODj4+PXrmfn1+u9re0tCQgIEBvhCwwYor2c4aRImFMCPFWkkAmDGbOnDnayflAjvPFsnPz5k0aNWqkU2ZhYYGrqysXLlwAoEyZMiiKQlpams46XlnBy9zcnO3bt3Pz5k2qVaumdwwXFxemTJmit/7Zk32Ni4vTKff29ub333/n0KFDeHh4aMsrVaqk/XNW/3Lrzz//pEyZMjg6OpKRkUHjxo1p06aN3ny3MmXKMHr0aNq0acPFixdxcnKibt26/P7775w6dSrbMH3hwgV8fHwYPnw4/fr1A+Cff/7hs88+IyUlhQULFuicx9Pi4uJe6O/tVT19LEVRSDZPz7PjCyHEmyKT+oXBODs74+rqqv16kdt35cuX5+jRozq3r1JSUjh9+rS2nayRsS1btujsu2vXLpydnbG2tmbOnDmEhYXpfLm4uODi4kJYWFiOI0OOjo4YGxtz584dnXIfHx/Kly/PuHHjtCNbT3uRQLZ7927++usvPvnkEyDzSUoHBwfWrVtHbGysXv2sCfZOTk4AtGrVCnt7eyZPnkxSUpJOXY1Gw7Rp0zA1NeXjjz8GMkfG+vTpg0qlYtWqVc8MYw8fPiQpKYnixYvn+nyEEEJkT0bI/uNSU1M5ceJEjtudnJz0bsvlB0OGDGHgwIEMGTKEDh06kJqaypIlS4iOjub7778HwMPDgwYNGmjDyHvvvcfGjRs5duwYs2dnLoXg7Oys17aVlRWQ8+1ZyLx99sEHH3Ds2DF69eqlLbewsCA4OJgBAwbQsmVLfH19+eCDDzAzM+PChQts2LCB06dPU69ePezs7LT7Pfn3oCgKcXFxHDlyhKVLl+Lh4UG3bt20dceMGUP37t1p164dPXr0oHLlymg0Gg4fPszPP/+Mr68vFStWBDLneX377bcMGjSIjh070q1bN8qVK8edO3dYtWoVJ06c4Ntvv9U+kPHNN9/w4MEDJk6cSHx8vM73hrW1tbZdyFxwFtB5iCCvZSia5y5rkaFoMFEZ51GPhBDi5Ugg+4/LWvU9J2FhYS80xyyveHt7M2/ePGbPns2gQYOwsrLC1dWVsLAwnduDP/74I8HBwSxevJiYmBgqVqxIcHCwztphL6tp06YEBQWRkpKic0u0QoUKbNiwgTVr1rBt2zZWr15NQkICDg4O1KxZk8DAQL03ATz596BSqbC1taVUqVJ88cUXdOzYUfvmAYCqVauyceNG5s6dy/Lly7l37x7GxsZUrFiRL7/8Um/dNk9PT9auXcuiRYuYP38+9+7do1ChQri4uLBq1Srt7drU1FR2794NwPjx4/XOt1atWjqvk9q7dy9ubm6v7enal2Fi9PygJWFMCPE2UCmvcwEpIf5DkpKSaNSoESNGjKBNmzaG7k6eSkhIoG7dukydOlVvLt+L8vPzIyQk5DX1TAjxusnPaN6QOWRCvCQLCwsCAgJYuHDhSy8t8bZauXIlTk5OeHt7G7orQgjxTpBAJsQr8PX1pWjRoqxdu9bQXckzMTExLF26lO+++05eLC6EEK+JzCET4hXNnz/f0F3IU3Z2duzbt8/Q3RBCiHeKjJAJIYQQQhiYBDIhhBBCCAOTQCaEEEIIYWASyIQQQgghDEwCmRBCCCGEgUkgE0K81RSNJvtyJftyIYTIj2TZCyHyme7duwPovKYIMlfH79u3L3/99Rfff/89u3fvZsOGDdrtKpUKc3NzSpYsSfPmzfnss890XukEcPPmTWbPns3+/ft58OAB1tbWvP/++/Tu3ZsPP/xQWy8oKIjg4GC9vllYWFCsWDGaN2/OgAEDMDEx7K8QTVoKGQmPMLa2xcjk39dLaVKTSX/8AJMChTFSmxuwh0IIkTsSyIR4CyQkJNCvXz/++usvfvzxR7y9vdm9ezf29vba4KTRaHj8+DGHDx9mzpw5/PHHHyxevFgbyrLel+ng4MCwYcMoXrw4MTExrF27ll69ejFr1iyaNGmic9zQ0FCdz7GxsYSHh/PTTz+RlpbG8OHD8+YCZEOTlsK9zUEkXTlJ8Z6TMbEtipGJKZrUZOKO/krM7ytwaDMUy4rVJZQJIfI9CWRC5HOJiYn069ePU6dOMXv2bOrVq6fdplarcXd316lfv3593n//fQYNGsSiRYvw9/cHYM2aNcTFxbFt2zYKFCigrd+4cWM6duzIjz/+qBfInm4boEGDBty4cYOwsDCDBbKsMJbwzwEAbi35kuI9J2NqVywzjO3KHF28u/EHCWVCiLeCBDIh8rGsMHbmzBnmzp1L7dq1c7Vf48aNcXNzY/Xq1dpAdv/+fVQqFZqn5lwZGxszfPhwLl68mOt+WVtb5/4k3hCViVr7Z01KIreWfIlFeXcSzv6pW8/U7OldhRAi35FJ/ULkU0+OjM2fPz/XYSyLp6cnd+7c4ebNmwB4eXmRnJxMp06dWLhwIWfOnNG+FL1OnTr07NlTr4309HTtV2pqKnfv3mXx4sX88ccftGnT5pXP8WUZmZpRpEV/rKvW15ZpUhJ1w5jKCMeOI7EoW1VGx4QQ+Z6MkAmRD2WFsSNHjgCZc8heVJEiRYDMkbESJUpQv359xo0bx4wZM5g6dSqQOdJVu3ZtfH198fT01GvDxcVFr6x48eIEBATQr1+/F+7Tq4qNjSU5OVn7WfNBaxLjU0m6cgIANRkUUKUC4Njhi8wwZiphTAiR/0kgEyIf+vvvv7GxsWH58uWMHj2awMBANm3ahIODwwu3pVKptH/u2rUr7dq1Y//+/Rw4cIBDhw4RERFBREQEvXv3JjAwUGffsLAwIDMQLl26lMjISEaPHk2jRo1euB/h4eGEh4frlUdHR+dq/8TERIKCglAUJZut7wGgQqGD8RnMVRpMbRxBZfzC/RRCCEOQQCZEPlSoUCGWLFlCpUqVmDZtGp988glffPEFixYtwsgodzMN7t69C4Cjo6NOuYWFBY0bN6Zx48YAXLt2jdGjR7N48WLatWuHk5OTtq6rq6v2z7Vq1eLTTz9l6NChLF68mJo1a77QOfn4+ODj46NX7ufnl6v9LS0tCQgI0I6QadJSSDj7J48Ob9XWUZOBuSrzNuytpaN1nr4UQoj8TOaQCZEPOTs7U6lSJQDc3Nzw9/fnwIEDzJ07N9dt/Pnnn5QpUwZHR0cyMjJo2LAhs2bN0qtXpkwZRo8eDfDMif1GRkZMnjwZU1NTRo0aRUpKygue1auztbWlWLFiOBa2xermCUyOrKOwKinzyygFO4ei2rpZE/3TY++gSU/L874KIcSLkEAmxFvA39+f999/n+DgYI4dO/bc+rt37+avv/7ik08+ATKfpHRwcGDdunXExsbq1b9y5QqAzuhYdooVK4a/vz/Xr19n3rx5L3Emr4fKyIj4bCbwl/xsuv5E//OHQFbtF0LkcxLIhHgLGBsbM23aNNRqNZ9//jmPHj0CIDU1lRMnTnDixAmOHz/Onj17mD59OkOGDMHDw4Nu3bpp2xgzZgxxcXG0a9eOxYsXc/DgQf78809+/PFHRo8eja+vLxUrVnxuX3r16kWZMmWYP38+169ff2Pn/CwqEzXFu05EXayCztOUKiMjnacvbep0oFDNjzGSpS+EEPmczCET4i1RpkwZAgMDGTduHGPGjMHKykq7+j5kTt63tbWlVKlSfPHFF3Ts2BFT03/nTlWtWpWNGzcyd+5cli9fzr179zA2NqZixYp8+eWXdOjQIVf9UKvVfPnll/Tv358pU6Ywe/bsN3K+z2NkZkHxrhNJuX0JsxIVtU9TZi2JYelcC8vy7rLkhRDiraBSsn9kSQgh8oSfnx8hISEvvb8mLRUjU7VeuZKehkom8wvxyl71Z1TkjtyyFEK81bILY4CEMSHEW0UCmRBCCCGEgUkgE0IIIYQwMAlkQgghhBAGJoFMCCGEEMLAJJAJIYQQQhiYBDIhhBBCCAOTQCaEEEIIYWASyIQQQgghDExenSReWPfu3QFYtmzZc+s+fPiQlStXEhERwY0bN0hNTaVEiRJ4e3vTp08fbG1ttXUDAwM5dOgQu3bt0mkjPT2d//3vf2zfvp1Ro0bRq1cvAH7//Xd++uknzp07h42NDU2bNmXo0KFYW1tr+3no0KEc+3bu3Dm9svj4eFq2bImHhwfffvvtc88vPT2dTp068fnnn/PRRx9py+/cucPy5cvZvXs3N2/eBKBs2bI0a9aM7t27Y2lpqa37dD9VKhUWFhaUK1eOtm3b0qVLF4yNjXWOe/78eebMmcOhQ4d49OgRNjY21KhRg379+lGlShW9fl65coUlS5awf/9+7t69i52dHdWqVaN///5UqlRJp25kZCRBQUGcO3cOtVpNtWrVGDFiBGXKlAHg4sWL9OvXj40bN1KwYMHnXiMhhBDPJ4FMvDHnz5+nf//+pKWl0a1bN1xdXTE2NubEiRMsWbKErVu3EhoaSpEiRXJsIz09neHDh7Njxw7Gjx9Ply5dAIiIiCAgIIBatWrxww8/kJ6ezpw5c+jZsyehoaGYmJgwfvx44uPjddqLiopi5MiRdOrUKdvjTZkyhVu3buX6HOfMmYODg4NOGIuMjGTw4MEULFiQrl274uzsjEajITIykpCQELZv387KlSsxN//3HYtVqlRh/PjxAGRkZPDo0SP27NnD5MmTOXr0KDNnzkSlUgFw4cIFOnfujJubG6NHj6ZIkSLaANi5c2eWLVuGu7u7tu2IiAhGjBjBe++9h7+/PyVLluTOnTssW7aMjh078tNPP1GvXj0Ajh8/Tp8+fWjYsCHff/89SUlJzJkzhy5duvDLL79gZ2dHxYoVadiwIZMmTeK7777L9bUSQgjxDIoQL6hbt25Kt27dnlknOTlZad68udKgQQPl/v37etujoqKUatWqKWPHjtWWjRw5UmnQoIH2c1pamjJ48GClUqVKSlhYmM7+LVu2VD7++GMlJSVFW3b//n3F3d1dCQ0NzbZPaWlpSrt27ZQ2bdro7Jdl9+7dSrVq1ZTq1asrI0eOfOb5KYqiREdHK1WrVlVOnjypLXvw4IFSu3ZtpX379kpCQoLePidPnlQqV66shISEaMuedT0XL16sODk5KZs2bdKWjRo1SvHy8lJSU1N16iYkJCj16tVT+vbtqy27du2a4u7urgwaNEhJT0/XqZ+UlKS0bdtWqV27tpKUlKQoiqL0799f8fHxUTIyMnTOs3LlysqCBQv0yv7+++9nXqPc6N+//0vvm5aRrmg0mhy/0jLSn9+IEOKZXuVnVOSejJCJN2Lbtm1cunSJuXPnUrhwYb3tpUqVwt/fn8TExGz3T09P5/PPPyciIoLvvvuOVq1a6Wy/fPky3bp1Q63+9z2GhQsXpnz58vz+++/ZjoCtXr2aM2fOEBoaqrMfwKNHjxgzZgwjRoxg/vz5uTrHxYsXU6xYMdzc3LRlK1eu5MGDByxZskTntmQWNzc3evbsiZWVVa6O0b17dxYuXMjq1au11+D+/fsAKIqiU9fS0pJRo0aRlJSkLVu2bBmpqamMGTNG77anubk5I0eO5I8//iAuLg5zc3Pc3Nxo1KgRRkb/Ti91cHDA2tqaqKgonbIPP/yQefPm8eOPP+bqXN4EY5URndcMyHF7aKfZedgbIYR4eRLIxBvx22+/UahQIe2tsOz07ds32/KMjAw+//xzfv31V3744QeaNWumV8fW1lY7NytLWloat2/fJjU1Va9+QkICQUFBtG7dWidAZfn666+pUKECvr6+uQ5kv/zyC+3atdMp27lzJ87Ozrz33ns57jdy5MhctQ9gbGxM7dq12bp1K+np6ZiYmODl5cWePXvw9fWlffv2fPjhh5QvXx6VSqV3rfbt20eVKlVwdHTMtn0PDw88PDy0nwcM0A83Bw8e5NGjRzg5OemUN2/enIkTJ5KQkJDrgCmEECJ7EsjEGxEVFUWpUqV0RlogM2w9PbJjYmKisz0rjCmKQmxsbLbtt2vXjpCQEObNm0eHDh1ITk7mhx9+ID4+PtuRqbCwMOLi4ujfv7/etoiICHbu3Mkvv/yinaf1PJcuXeLevXt64S4qKoo6dero1U9PT9cre/K8n6VIkSKkpaXx8OFDihQpQpcuXbh37x4LFy7kq6++AjIDqqenJ927d+f999/X7hsdHU3lypVzdZzsxMTEMHbsWIoWLUqbNm10trm6upKWlsaRI0eoX7/+Sx/jRcTGxpKcnKz9rCgK5slPfP8YKaSpM/KkL0II8TpJIBNvxNOhK0uDBg2Ijo7WKdu5cyclS5YEMp9O3LVrF3PnzmXevHl8++23VK9eXW90JiAggIyMDGbNmsX06dMxNTWlY8eONGrUiAsXLugdd+XKlTRs2JBy5crplMfExDB+/Hi++OILbR9y4/r16wB6+2g0Gr266enpuLi46JVn95TnszwZFocMGUKvXr3Yt28fBw4cIDIykl9++YXw8HBGjRpFz549tftkZLxcQImOjuazzz7jwYMH/Pzzz3qjYCVKlADgxo0buWovPDyc8PDwbI+TG4mJiQQFBel9b1Xg34dCFBTOVbxLhkn2339CCJFfSSATb0SJEiU4efIkiqLoBIl58+aRlpYGwO7duwkODtbZz9TUlJCQEGrXrk2FChVo3bo1w4YNY926dTpPJZqYmPD5558TEBDA9evXcXBwoGDBgnTr1g0bGxudNv/55x+uXr3KsGHD9Po5YcIEKlSoQIcOHXRGsRRFIT09HWNj42xHzR4/fgyAhYWFTnnJkiX1bqWamJgQFham/bxmzRrWrFmT7XXLTnR0NObm5nrnVahQIXx8fPDx8QHgzJkzfPHFF3z//fe0atUKW1tbSpQo8cynRtPT04mJicHBwUGn/Ny5c/Tv35/ExEQWLFiQ7W3erHN/+knWnDzZ1yf5+fnlan9LS0sCAgL0RsgCI6ZoP2cYKRLGhBBvJVkYVrwR3t7exMTE6K0DVqlSJVxdXXF1ddWOsDzJwcGB2rVrA5nhZsyYMVy8eJFvvvlGp96hQ4fYt28fZmZmVKxYkYIFC5Kens65c+f01uH6/fffsbCwwMvLS+9427dv59ChQ1StWhUXFxdcXFy4efMmGzduxMXFJcd1zLLWT4uLi9Mpb9iwIadPn9aOoGXJOmdXV1e98PMsGRkZHDp0iA8++ABjY2Oio6Px9PRk7dq1enWrVKnC0KFDSU1N1R7f09OTM2fOcO/evWzb37dvH3Xr1mXLli3asgMHDvDJJ5+gKArLly/ngw8+yHbfrHN/ci25N83W1pZixYrpfCWbp2u/5HalEOJtJYFMvBE+Pj6UL1+ecePGcffu3WzrZHdr8Wlt27aladOmrF27lq1bt2rLf/31V8aOHasdbQNYt24dcXFxNG7cWKeNkydPUqVKFZ0RtixhYWF6X/b29jRo0ICwsLBsbzUCFC9eHMi8xfqkbt26YWdnx8iRI7MdOcrIyODy5cvPPe8sq1ev5u7du3zyySdA5nwyExMTVq5cSUpKil79y5cvY2Zmpl3EtWvXrpiamvLNN9/o3bpMSkpi1qxZFCpUiAYNGgCZo2z+/v4UL16cNWvW6N0qftLt27eBf6+FEEKIlye3LMVLuXPnDj///LNeecWKFfH09MTCwoLg4GAGDBhAy5Yt8fX15YMPPsDMzIwLFy6wYcMGTp8+Tb169bCzs3vmsSZOnMixY8cYN24crq6ulCpVCl9fX9asWUNgYCAdOnTg3LlzfP/993z88cfUqFFDZ//z58/j6emZbduurq56ZWq1Ghsbm2y3ZSlfvjzFixfn2LFjOgHQ3t6eoKAghgwZQsuWLencuTNVq1bFyMiI06dPExYWxtWrV2nZsqVOe/Hx8Zw4cQLInIcWGxvL/v37CQ0NpVWrVjRp0gTIfOpywoQJDBw4kPbt29O1a1cqVKhAUlISf/zxBytWrGDIkCEUKlQIyBxlnDBhAqNHj6Zr1674+vpSrFgxoqKi+Pnnn7l27Rrz58/XPggxevRo0tPTGTRoELdv39aGLgA7OztKly6t/Xz06FEsLCz0rrcQQogXJ4FMvJSoqCimTJmiV962bVtt+KlQoQIbNmxgzZo1bNu2jdWrV5OQkICDgwM1a9YkMDCQWrVqPfdYtra2TJkyhb59+zJ8+HBWrFiBk5MTc+fOZfr06fj5+VGkSBH8/PyyfYrywYMHb+QVP02bNmXPnj16y1hUr16dzZs3s2rVKrZv386CBQtITU2lWLFifPjhh8ycOVPvtuqZM2fo3LkzAEZGRhQuXJhy5crx7bff6oU3Ly8v1qxZw8KFCwkJCSEmJga1Wk2VKlWYOXOmNrxladu2LWXKlGHJkiX88MMPPHjwAHt7e6pVq8aPP/5IxYoVgcwHFc6cOQNkPjTwtLZt2+q8Tmrv3r14eXllO/KYVzIUzTPXGstQNJiojHPcLoQQ+YVKyelxOCHEM0VHR9O4cWMWLVr0nxslunHjBk2aNCEsLCzbd2e+CD8/P0JCQl5Tz4QQr5v8jOYNmUMmxEtydHSkZ8+ezJs3z9BdyXMLFiygWbNmrxzGhBBCZJJAJsQrCAgIIDo6mn379hm6K3nm4sWL7N69m7Fjxxq6K0II8c6QOWRCvAK1Ws2mTZsM3Y08VbFiRXbv3m3obgghxDtFRsiEEEIIIQxMApkQQgghhIFJIBNCCCGEMDAJZEIIIYQQBiaBTAghhBDCwCSQCSGEEEIYmAQyId5S3bt3x9nZGV9f3xzrDBs2DGdnZ0aOHEm3bt2oWrVqji91X7VqFc7OzqxYsQKAhg0b4uzsrP2qVKkSHh4e+Pn58c8//7yRc3pRmrQUNKnJ2Zen6b98XQgh8isJZEK8xYyMjDhx4oTOS8CzJCUladcLU6lUTJ48GRMTE8aMGYNGo9Gpe+fOHb7//nvq1KlDly5dtOX169cnNDSU0NBQli9fzvjx47l//z49e/bkwYMHb/TcnkeTmsTtFROI+X2FTijTpKXwYPtC7qz+JtuwJoQQ+ZEEMiHeYlWqVMHMzIxff/1Vb9uuXbswMzPD0dERgNKlSzN06FBOnDjB8uXLdepOmDABIyMjJk+ejEql0pbb2dnh7u6Ou7s7NWrUoEWLFsycOZOHDx9me8y8oklN4vbKr0i5eZ64I1u1oSwrjD0+uZPkqDPcCZ0koUwI8VaQQCbEW8zS0pL69euzbds2vW1bt26lWbNmmJj8+0KOHj16UL16dWbOnKkdVduyZQu///4748aNo2jRos89po2NzWvr/8tQMtJIi40m9e41bVncka3c37GI+1tDeHxyp7Y85c5l0uPuo8lIN0RXhRAi1ySQCfGWa9GiBSdPnuTWrVvasvj4ePbu3YuPj49O3axRMI1Gw7fffkt8fDxTpkyhWbNmtGzZUq9tRVFIT08nPT2d1NRUbt26xaRJkyhSpAjNmzd/4+eWHZWxKaZ2xSnWbSIqUzNtefzJncT/vfffempzivf4BpNCDhgZy1vihBD5m/yWEuIt5+XlhaWlJb/++it9+vQBICIiAjs7O6pXr65Xv2zZsgwdOpRvv/1WOw9swoQJ2ba9ceNGNm7cqFOmUqmYNm0adnZ2r/U8ciM2Npbk5MxbkJoMM1TNhvBgawhKehoAajIooErVhjFTuxIYmarzvJ9CCPGiJJAJ8ZYzNzenYcOGbNu2TRvItmzZQosWLXTmgz2pZ8+ebN++ncOHDzNv3jxsbW2zrdegQQMGDhwIZI6WxcTEsG3bNj7//HOSkpLo1KlTrvsZHh5OeHi4Xnl0dHSu9k9MTCQoKAhFUZ7aUlb7JxUKHYzPYFOsIuoipVDJyJgQ4i0hv62EeAc0b96cgQMHcuPGDaysrDhw4ABDhw7Nsb6RkRF16tTh+PHj1K9fP8d6NjY2uLq66pR5eXlx9+5dpk2bRvv27TE2Ns5VH318fPRuoQL4+fnlan9LS0sCAgL+HSFLT+XRgU0knD+kraMmA3NVBsnX/ubBb0uwa9AVI7V5rtoXQghDkkAmxDugXr16FChQgO3bt1OgQAFKlixJ1apV39jxKlWqxJ9//klsbCxFihR5Y8d5WtZIniYthQc7FmF+YQ/mWYOAqv+fEvv/A2hxR7YCSCgTQrwVJJAJ8Q5Qq9V4e3uzY8cOLC0t+fjjj9/o8U6ePEmhQoVyvNX5JikZ6aTcvsjjE79py1Rqc4p3/wZFk87t5eNR/n9R2Lgj27B2rYeZYzm5fSmEyNfkKUsh3hFZT1tGRka+tkAWExPDiRMntF8HDhxg5MiRHD16lE8//TTXtytfJ5WxCWZFK1CkReatTu0E/sIlUNuXeeLpSxX2rQbJXDIhxFtBfksJ8Y746KOPKFiwIMWKFaNChQqvpc09e/awZ88e7WdLS0vKlSvH+PHjdVb0z2tGanOsXeqCyhizYuV0nqbMCmVpD25j5VxLblcKId4KKkX/kSUhhMgzfn5+hISEvNS+mtRkUBnpLW2hSUsFRSNhTIjX4FV+RkXuyQiZEOKtlVPgkrXHhBBvG5lDJoQQQghhYBLIhBBCCCEMTAKZEEIIIYSBSSATQgghhDAwCWRCCCGEEAYmgUwIIYQQwsAkkAkhhBBCGJgEMiGEEEIIA5NAJoQQQghhYBLIxCs7f/48w4YNo06dOlStWhVPT0+GDh3KmTNndOoFBgbSsGHD57Z39+5d/ve//+Hh4cEHH3zA4MGDiY6OzrH+0qVLc2x306ZNfPzxx7i5udG0aVPWrl2bYzvx8fE0bNiQ9evXP7ePWRYtWsTnn3+uU5aRkcHatWvp3r279pp4eXkRGBjIxYsXdequX78eZ2dnnS9XV1caNmzI2LFjsz3vxMREgoKCaNGiBW5ublSvXh1fX1/WrFmDRqPRq5+SksLPP/9M+/btqVGjBjVr1qRz585s2LAh2/pZcrqun3zyCdu2bcvtJRJCCJEL8uok8UouXLhA586dcXNzY/To0RQpUoQ7d+6wfPlyOnfuzLJly3B3d891e+np6fTt25fExEQmTJhAeno606dPp0+fPmzcuBFTU1Od+ps3b+a7777D0dFRr61t27YxcuRIevToQd26dfntt98YM2YMZmZmtGrVSqfuw4cP8ff35+bNm7nu66VLlwgJCeGXX37RlsXHx+Pv78/Jkyfp1KkTvXv3pkCBAly5coXly5fTvn175s+fT61atXTaCg4Oxt7eHoCkpCQuXLjA3Llz2bVrF6tXr6ZUqVIAKIqCn58fly5dom/fvjg7O5OSksL+/fsZN24cFy5cYPTo0dp279+/z2effcbt27fp3r07bm5uaDQadu/ezZdffsmhQ4eYPHkyKpUq19d19OjR9OvXj1q1alG4cOFcX6/XLV2TgbHq2f+mzFA0mBgZ51GPhBDi5UkgE69k8eLF2NjYsGDBAp2w1KhRI5o3b87s2bOZN29ertv79ddf+eeffwgPD+e9994DoHLlyvj4+LB161Zat24NwIMHD/jhhx9Ys2YNNjY22bb1ww8/0LRpU7788ksA6taty6NHjwgKCtIJZL/99huTJk0iMTHxhc592rRptGjRQie0TJo0iWPHjrFs2TI++OADbXnNmjVp3bo1Xbp0YezYsWzfvl2nrcqVK1OyZEnt59q1a9OgQQPatWvHuHHjWLx4MQBHjx4lMjKShQsX4unpqa3v5eWFkZERy5cvp1+/ftpwN3LkSO7cuUNoaChly5bVqV+yZEmmTZtGgwYNaNKkCZC761q1alVcXFyYM2cOY8aMeaFr9joZq4zovGbAM+uEdpqdR70RQohXI7csxSu5f/8+kDly8yRLS0tGjRpF8+bNX6i9/fv3U65cOW0YA6hYsSIVKlRg79692rKQkBD++OMPgoKCaNCggV47N27c4OrVq9qgkaVp06ZERUVx5coVAOLi4ggICKBWrVosWLAg1/08f/48u3fvpmXLltqymzdvsmHDBnr06KETxrKYmZkxbNgw3NzcePz48XOPUapUKTp16sSff/5JVFQUAPfu3QP0rzdAly5dGDZsmHa06+zZs+zfv59PP/1UJ4xl6dGjB127dsXKykpb9rzrmqVVq1aEhYURExPz3PMQQgjxfBLIxCvx8vLi1q1b+Pr6smLFCi5duqQNC82aNaNt27Yv1N6lS5eyDQ+lS5fWhigAX19ftm/frhe4nmwH0GurTJkyAFy9ehUAc3NztmzZwnfffYetrW2u+/nLL79gb2+vE7x27tyJoig6Ie1pnp6eTJs2jQIFCuTqOFmjYEePHgWgVq1aWFpa8r///Y9p06YRGRlJcnIykHmuffv2pUiRIgDs27cPIMf5dWq1mnHjxlGnTh1t2fOuaxZvb28yMjKIiIjI1Xm8LrGxsdy+fVv7ZZ5sovNlmiq3J4UQbye5ZSleSZcuXbh37x4LFy7kq6++AsDW1hZPT0+6d+/O+++//0LtxcXFaUPTk6ysrEhISNB+rlChwjPbyRqBsra21msHMud6QWYoKV++/Av1EeDgwYO4urrqzL3KGsV6OgRqNBq9yfPGxsZ687ayk3XrMWtkrHDhwsyfP5/AwEAWLFigvVXs7u6Oj48PHTp0wMQk88f6zp07ADq3Qp/nedc1i6WlJRUqVODAgQN07tw5V/uEh4cTHh6uV/6sBzaelPUww5OjgxUoolNHQeFcxbtkmOiPIAohRH4mgUy8siFDhtCrVy/27dvHgQMHiIyM5JdffiE8PJxRo0bRs2fPXLelKEq2QSWn8pxkBaCn98n6n7mR0asNDl+/fp1q1apl2/bTvvjiC52J/wBTpkyhXbt2uT7ek+dRo0YNduzYwdGjR9m/fz+HDh3ixIkTHD58mE2bNrF48WLMzc2155iRkZHr47yIEiVKcOPGjVzX9/HxwcfHR6/cz88vV/tbWloSEBCgHRFUFIXAiCk6dTKMFAljQoi3kgQy8VoUKlRI53+4Z86c4YsvvuD777+nVatWub4dWKBAAe3o1ZMSExNzfZsPoGDBggB6bWVN3H965OxFxcfHY2FhoVNWokQJIHMu2ZNz4IYMGaINpffu3cPf3z/Xx8kaPSpatKhOuZGRETVr1qRmzZoAPHr0iB9++IGVK1cSFhZGt27dtP25desWFStWzLF9e3v7lwqoFhYWuZoL9zo9+X2kKArJ5ul5enwhhHhTZA6ZeGnR0dF4enpmu7ZXlSpVGDp0KKmpqVy/fj3XbZYrV0576+9JUVFROYaKnNoBuHbtmk551ucXaSs7NjY2emHE29sbyHxS9EmlSpXC1dUVV1dXnJycXug4f/75JyqViho1agAwdOhQevXqpVevUKFCjB07lkKFCmnXOsuaf7Znz55s287IyKBdu3b07dv3hfqUJS4u7oXm3QkhhMiZBDLx0ooUKYKJiQkrV64kJSVFb/vly5cxMzPLdk5YTjw9Pbl06ZLOAqoXL17k0qVLOpPPn6dMmTKUKlVKb3mJ7du3U7ZsWe3o0csqUaIEt2/f1jtmmzZtmD9/PseOHct2vwsXLuT6GHfu3GHt2rV4eXlRrFgx7TEOHjzIiRMn9OrfvXuXxMREbeh77733qFevHvPmzcs2FC9YsID79+/Tpk2bXPfpSbdv337l6yiEECKT3LIUL83Y2JgJEyYwcOBA2rdvT9euXalQoQJJSUn88ccfrFixgiFDhlCoUCHtPvHx8fz88896bRUtWpRmzZrRokULQkJC6Nu3L8OHDwdg+vTpODk50axZsxfq34ABAxg1ahQ2NjY0bNiQXbt2sW3bNmbOnPlK5w1Qp04dVq5cqTe3bfz48Tx48IDu3bvTunVr6tevj52dHTdv3mT79u38/vvvlC9fHjc3N532zp49q11CJCkpiXPnzvHzzz9jZmbGuHHjtPX69OnDb7/9Ru/evenSpQseHh5YWFhw/vx5Fi1axHvvvaczN23ixIn07NmTjh070qNHD9zd3UlISGD79u2Eh4fTsWPHZz4VmpPHjx9z8eJFPv300xfe93XJUDTPXWcsQ9FgopInL4UQ+Z8EMvFKvLy8WLNmDQsXLiQkJISYmBjUajVVqlRh5syZessnPHr0iClTpui1U6tWLZo1a4ZarWbx4sVMmjSJsWPHYmpqSp06dRg1apT26cHcateuHampqSxatIh169ZRqlQpvvvuO1q0aPFK5wzQpEkTfvrpJ06dOqUTriwtLZk/fz7btm1j48aNfP311zx8+JBChQrh6urK1KlTad68ud4bBwYNGqT9s7W1NcWKFaN169Z0795du4wFZN6aDA0NZf78+ezatYtVq1aRlpZGiRIl8PHxoV+/fpibm2vrFy9enNDQUJYsWcKWLVuYP38+pqamlC9fnmnTpvHxxx+/1Pnv27cPU1NTvLy8Xmr/1yE3K/BLGBNCvC1USk6PhgkhnsnPzw87OzsmT55s6K7kue7du1OpUiWd1zS9LD8/P0JCQl5Dr4QQb4L8jOYNmUMmxEsaNmwY27dv59atW4buSp46efIk586do1+/fobuihBCvDMkkAnxkpydnenfvz/ff/+9obuSp6ZMmcK4ceO0i9YKIYR4dTKHTIhX8F8cJVq9erWhuyCEEO8cGSETQgghhDAwCWRCCCGEEAYmgUwIIYQQwsAkkAkhhBBCGJgEMiGEEEIIA5OnLIV4izz9qqY3tc/bJDE5DZVKxaP4FNQmxlhZmGJkpMLURP69KYR4e0ggEy/k1KlTLF26lMOHDxMTE4O9vT21a9emf//+lCpVSlsvMDCQDRs26OyrUqmwsLCgdOnStG/fnh49emi3BQUFERwc/MxjHzt2DCsrq2zrWlhYUKZMGT755BN8fX215evXr2fUqFE6dc3MzChRogStW7emb9++GBtnvl4nMjJSp09Zfba0tMTJyYl+/frRsGHDXFyl1+/OnTuMHz+esWPHUrJkyVzvd/HiRcaMGaOzVIWzszODBg0iICDgTXQ1z6SkZnAvNpEV2//h4N+3Sc/IfOlIscJWtKxbniYepTFTy684IcTbQX5biVxbsWIFkydPxsPDg+HDh+Pg4EBUVBQLFixgx44dLF68GBcXF219e3t7neCkKAr3799n9erVTJo0CbVarROeAEJDQ3M8voWFRbZ1NRoN8fHx7N27l/Hjx2NsbEzHjh116gYHB2Nvb4+iKCQlJXHs2DFmzZpFcnIyQ4cO1ak7btw47XkoisKjR49YtGgRAwYMYO7cudSvXz/3F+01+fPPP9m9ezdjx459of22bdvG8ePHdcpCQ0MpWrTo6+xenktJTef05Qd8vegQ6RkanW23HyQwb+Mp/jx1i/GffYi5hDIhxFtAflOJXDl69CiTJk2ia9euOu8v9PDwwNvbm3bt2jFq1Cg2b96s3aZWq3F3d9dry8vLi8aNGxMWFqYXyLKrn5On69arV49//vmH1atX6wWyypUr64wsffTRR1y/fp3Vq1frBbKKFSvqtV2jRg28vLxYunSpQQLZ6/Qi1zi/SknTMGmxfhh70t+XHrBkyxl6tKiChZn8qhNC5G8yyULkysKFCylQoAD/+9//9LbZ2dkRGBhIkyZNiI+Pf25bpqammJubv4luUqhQoVzPl3qRutbW1pQrV+6Z761s2LAhwcHBTJkyBQ8PD6pVq8bw4cNJSEhg3rx51KtXj+rVqxMQEEBsbKzOfoGBgTptrV+/HmdnZ27cuKFz29Xb21tbNzk5menTp9OkSROqVq3KBx98QO/evTl79iygexvY2dmZoKAgvT8D3L17l1GjRlG/fn3c3Nzo0KEDO3fu1OmPs7MzK1asYPTo0dSqVYtq1aoxePBg7t+/n6vr9zqlpGawee8lUtNzDmNZfjsUxTs8fU4I8Q6RfzaK51IUhf3799OwYUO924ZZmjVrlm15enq69s8ajYb79++zfPlyrly5ku3ttyfrP8nIyAgjI6Mc6yYmJrJ371727t3L119/rbe/RqPR1k9OTubYsWNs2rSJ7t27Z3u8p6WmpnLjxg3c3NyeWW/x4sV89NFHzJw5k1OnTjFjxgxOnz6No6MjX3/9NVeuXGHq1KkUKVKE8ePH5+rYXl5e+Pv7M2fOHIKDg3F2dgbgiy++4PDhwwwfPpzSpUtz9epVfvzxR4YNG8a2bdvo2LEjd+7cISwsLMfblPfv36dDhw6YmpoybNgwbG1tWb9+PQMHDmTq1Km0atVKW3fmzJk0btyYGTNmcP36daZMmYKJiQkzZszI1Xm8LgoKu4/dyFXd5NQMjp+7S23X4m+4V0II8WokkInnio2NJSUl5YUmkwPcvHlTZ05ZlrJlyzJ+/Hg++eQTvW3Z1Qfo0KEDkyZNem7dhg0b0qJFC73yxo0b65W5urrSs2dPvfInw1t6ejo3b95k9uzZxMTE0KVLl2z7l8XKyoqZM2diYmLCRx99xIYNG7h79y5r166lQIEC1K9fn4MHD3Ls2LFntvMkOzs7SpcuDfx76zU1NZWEhATGjh2rPd9atWqRkJDAt99+y7179yhatKg2hOV0m3Lx4sXExMSwbds27UMZ9evXp1evXkydOhUfHx9tEHZycmLKlCnaff/66y9+/fXXXJ/H6xAbG0t8fCKpibFYGmXobU9XjElVzHT3iUvOq+4JIcRLk0Amnivrf8gZGfr/A3wWe3t75syZA2T+j3Tu3LlERUUxefJkqlevnu0+YWFh2Zbb2dk9s25SUhKnTp0iJCSETz/9lJ9//ln79CTAnDlzsLe3ByAlJYULFy4wZ84cfH19CQ0NxdraWlu3V69eescqXLgwY8aMee78MTc3N0xM/v2xsre3x9ramgIFCmjLbGxsOH/+/DPbeR61Ws3ChQuBzFuO165d4/Lly/z+++8ApKWl5aqdQ4cOUa1aNZ0nZAFatWrFqFGjuHz5MhUrVgT0Q13RokVJSkrKdZ/Dw8MJDw/XK4+Ojs7V/omJiQQFBaEoChXUgFq/jqLAyfiqpCv//h3YFHgzt8eFEOJ1kkAmnsvGxgYrK6tnzp9KTEwkNTUVGxsbbZlarcbV1VX7uWbNmnTq1Il+/fqxdu1aypcvr9fOk/Wf5+m6tWrVwt7enhEjRrBz506aNGmi3ebk5KQzwlejRg2cnJzo0qULa9eupXfv3tptEydO1I6+GRsbU6hQIYoXL56r+WZPBrssOd3mfVX79u1j8uTJXL58GSsrK5ydnbGysgIybzPnxqNHj7Id+SxSpAgAcXFx2rKnz8PIyCjXxwHw8fHBx8dHr9zPzy9X+1taWhIQEEDc43giDl0nIvKaXp10xVgnjJmpjfmgkkOu+yiEEIYik/pFrnh6ehIZGUlKSkq229evX0/t2rX1llh4koWFBZMnTyYxMZEvv/zyhf5nnluVK1cG4OrVqy9dt1y5cri6uuLq6kqVKlUoUaLEG19Y9enRx8TExGfWj4qKYuDAgVSqVImIiAiOHTvGqlWraNCgwQsdt1ChQtlOzL937x4Atra2L9Tem2Zra0uZ0qXo2Kw6aUbWJGosdb6evl3pXbMUb+DbTAghXjsJZCJX+vTpw8OHD5k5c6betgcPHrBgwQLKlCnz3CUVXF1d6dSpE8ePH9dbOPZ1OHHiBJA5T+111n2TrK2tuXPnjk7Z03PMnn6g4e+//yYlJYX+/ftr55dB5qgZ/DtC9vR+T6tZsybHjx/n+vXrOuWbN2/G3t6eMmXKvNjJ5BFztTGjetXCxDjnoOxSvjC9fVxkyQshxFtBflOJXHF3d2fIkCH88MMPXLp0ibZt22Jra8uFCxdYtGiRdmmH3IwkDR06lG3btjF9+nQaN26sM78qKyRlp2zZsjq3RJ+sq9FoOH36ND/++CNOTk54eXnp7Hv27FntSJCiKFy6dIlZs2Zhb29P27Ztc3UN3pQGDRowd+5cQkJCcHd3Z/fu3Rw4cECnTsGCBQGIiIigXr16uLi4YGJiwrRp0+jTpw+pqamsX7+e3bt3A/+OsGXtFx4ezvvvv683V6x3795s3ryZ3r17M2jQIGxtbdm4cSMHDx5k8uTJzw10hmKmNsG1QmF+/J8XK7b/Q+Tfd8jQZIZQRztLWnqWp2ntMrIorBDirSG/rUSu+fv7U6VKFVasWMGUKVN4+PAhRYsWpV69evj5+VG8eO6WFrC1tWXIkCF89dVXzJo1S2eh2c6dO+e4348//qizvMaTdU1NTXFwcKBFixYMGTIEtVp3xvegQYO0fzYxMcHW1hYPDw+GDBmiE/IMoX///sTExLBo0SLS0tLw8vJi0qRJ+Pv7a+t4eHjw0UcfMX36dA4cOMC8efOYPn06wcHB+Pv7U6hQIdzd3Vm2bBndu3fnyJEjODs706RJEzZt2kRgYCAdOnRgwoQJOse2t7dn1apVTJ8+nUmTJpGWlkalSpWYPXs23t7eeXwlXoy52oTSRQsypHM1VL4qHj5OwdTEiAKWaoyMwNTE+PmNCCFEPqFS3sREHiGEyCU/Pz9CQkIM3Q0hRA7kZzRv5M/7EUIIIYQQ/yESyIQQQgghDEwCmRBCCCGEgUkgE0IIIYQwMAlkQgghhBAGJoFMCCGEEMLAJJAJIYQQQhiYBDIhhBBCCAOTQCYMStYlFkIIISSQ/Sd1796dKlWqcOrUqWy3N2zYkMDAwNd6zMjISJydnYmMjATgzp079O/fn5s3b77W46xfvx5nZ2du3LjxWtvNyePHj/H29ubSpUs65ZcuXeLrr7+madOmvP/++1SvXp3OnTuzYsUK0tLSdOo2bNgQZ2dn7VflypWpUaMGn3zyCZs2bcr2uEePHsXPzw8PDw+qVq2Kl5cXo0aNIioqKtv6p06dYsSIEXh5eeHm5oa3tzdjxozRe6k4wPbt2+nQoQMffPAB9evXJzAwUPseUIA//viDNm3a6J2HEEKIlyeB7D8qIyODUaNGkZqamifHc3FxITQ0FBcXFwD+/PNP7Yuw32aTJk2iQYMGVKhQQVu2detW2rVrx7Fjx+jduzfz5s1jxowZuLi4MGXKFAYNGqQ3Mli/fn1CQ0MJDQ1l2bJlTJkyhaJFi/LFF1/w3Xff6dQ9cOAAPXr0QK1W880337Bw4UIGDhzIiRMn6Nixo14oW7FiBb6+vjx48IDhw4czf/58/Pz8OHz4MO3bt+f06dPautu2bWPw4MFUqVKFWbNmMWzYMA4dOkTPnj1JSUkBoE6dOhQtWpQ5c+a87sv5QtI1GSiK8syvdE2GQfsohBC5JS8X/48qUKAAFy5c4KeffmLYsGFv/HjW1ta4u7u/8ePkpdOnT7N582Z+//13bdmlS5cYNWoUH330EUFBQZiY/PsjVr9+fTw8PBg8eDBbtmzBx8dHu83Ozk7v+jRu3JjChQuzaNEiGjVqRPXq1QEICQnB1dWVWbNmaet6eHhQv359GjduzOLFixk/fjyQOZI2adIkunbtqvMSdw8PD7y9vWnXrh2jRo1i8+bNAMyePZv69evz1VdfaeuWL1+ejh078vvvv2tf7j5gwAC6du2Kr68vDg4Or3opX4qxyojOawY8s05op9l51BshhHg1MkL2H1W5cmXatGnDggUL+Pvvv59ZNzk5menTp9OkSROqVq3KBx98QO/evTl79iwAv/zyC87Ozvzzzz86++3ZswdnZ2f++usvnVuW69evZ9SoUQB4e3trb49mZGSwYsUKWrZsiZubG15eXnz//ffakZksf/zxB127dqVatWp4enoybtw4Hj16lGP/165dS7t27XB3d8fNzY3WrVuzdetW7TE7dOjAhx9+SExMjHaf0aNH4+bmxsWLF3Nsd+7cuXh4eODo6KgtW7BgAUZGRnzzzTc6YSxL06ZNadOmDUZGufvRGzx4MGq1mtWrV2vLnrx9+CQHBwfGjBlDnTp1tGULFy6kQIEC/O9//9Orb2dnR2BgIE2aNCE+Ph6NRkOdOnXo1KmTTr1y5coB6Iy8ubm5Ubx4cX7++edcnYcQQohnk0D2HzZ69Gjs7Oyee+vyiy++ICwsjH79+rFo0SICAwM5f/48w4YNQ1EUGjdujJWVFVu2bNHZLzw8nHLlyuHm5qZT7uXlhb+/PwDBwcEMGJA5yjFu3DgmT55Mw4YNmTNnDl27dmX58uUMGDBAe4tvz549fPbZZ9jY2DBz5kxGjBjBrl27GDx4cLZ9X7FiBePGjcPb25u5c+cybdo0TE1NGTFiBLdu3cLY2JjvvvuOxMRE7a3B3bt3ExYWxogRI6hYsWK27SYkJLBr1y7tiFGWnTt38uGHH1K4cOEcr+d3331HixYtctz+pIIFC+Lm5sbRo0d1rt/x48fp3r07YWFhOvPAOnbsSKNGjYDMByb2799P7dq1sbCwyLb9Zs2aMWjQIKytrTEyMiIwMFC7f5YdO3YA4OTkpLdv1siaEEKIVyO3LP/DChYsyMSJE/H398/x1mVqaioJCQmMHTtWGyJq1apFQkIC3377Lffu3cPBwYGmTZuydetWhg8fDmSOqu3cuZO+ffvqtWlnZ0fp0qWBzJG6kiVLcvHiRcLCwhg6dKg2rNWpUwcHBwe++OIL9u7dS/369Zk1axaVKlXip59+0rZnbm7OjBkziI6O1jvW9evX6dOnDwMHDtSWlSxZUjvHq3jx4lSoUIEhQ4YwdepUGjVqxMSJE6lbty7dunXL8dodOXKEtLQ0nbD56NEjHj16RNmyZfXqp6en63xWqVQYGxvn2P6TihQpojOKOWTIEB4/fsy6des4dOgQAI6Ojnh5edGzZ0/tfLbY2FhSUlIoWbJkro6TnatXrzJ16lRcXFyoV6+ezjZXV1dCQkK4dOmSzhy6Nyk2Npbk5GQgM3CaJ+v+CsswUkhTy7wxIcTbRwLZf1zDhg1p1aoVCxYsoEmTJtpJ91nUajULFy4E4O7du1y7do3Lly9r501lPWnXqlUr1q9fz8mTJ3n//ffZtWsXiYmJtGzZMlf9yAoWT9f/+OOPGTVqFJGRkXh4eHD69GkCAgJ06jRt2pSmTZtm227W7dDHjx9z9epVrl69yoEDB3T6DtC7d29+++03Bg8eTKFChZgyZQoqlSrH/mY9xflk2NFoNNnWvXbtGk2aNNEpK1GiBLt27cqx/WdRq9V89dVXBAQEsGfPHg4ePEhkZCShoaGsX7+e6dOn07RpU+1t0YyMlwsoly5donfv3qjVan788Ue926xZ537jxo1cBbLw8HDCw8P1yrML0tlJTEwkKChI54GIChTRqaOgcK7iXTJMZDkVIcTbRQKZYMyYMRw4cIDAwEDWrVunt33fvn1MnjyZy5cvY2VlhbOzM1ZWVsC/64h9+OGHFCtWjC1btvD+++8THh5OjRo1cj06kzUHzN7eXqfcxMQEW1tbHj9+zKNHj1AU5Zm3A58WFRXFuHHjOHjwICYmJpQvXx5nZ2edvgMYGRnRqlUrjh07RtWqVfX68bTHjx8D6NwKtLW1xdLSUm8pj2LFihEWFqb9/NNPP3H+/Plcn0N0dDRFixbVK7e3t6dDhw506NAByFxa5PPPP2fixIk0btwYGxsbrKysuHXrVo5tJyYmkpqaio2NjU75wYMHCQgIwMrKikWLFlGqVCm9fbPOPetaPI+Pj4/OgwxZ/Pz8crW/paUlAQEBOiNkgRFTdOpkGCkSxoQQbyWZQyYoVKgQEyZM4Pz583pLGURFRTFw4EAqVapEREQEx44dY9WqVTRo0ECnnkqlomXLlvz66688evSIvXv30rp16xfqA8C9e/d0ytPS0oiNjcXW1hZra2tUKpXO5HvIvK26Z88eYmNjdco1Gg39+vXjwYMHrFmzhhMnTrB582b69++vd/z79+/z448/UrlyZfbt28cvv/zyzP7a2toCEBcXp1Pu7e3N/v37iY+P15ap1WpcXV21X0+Hn2d59OgRp0+fpmbNmgCcPHmSjz76iD/++EOvroeHB59++ikPHjzQXgtPT08iIyP1HozIsn79emrXrs3x48e1Zb/88gufffYZjo6OrF69mvLly+fYN/j3WuQFW1tbihUrpv1KNk/X+ZLblUKIt5UEMgFAo0aN8PHxYd68eTqB5++//yYlJYX+/ftr531B5qgZ6I4ytW7dmujoaIKCglCpVHoT3p/09O2vWrVqAegFoS1btpCRkUH16tWxsrKicuXK7Ny5U6fO/v376devH3fu3NEpj42N5cqVK3To0AE3NzftU4979+4FdG8xZi0TsWjRIpo2bco333zD3bt3c+x/8eLFAfSO2b9/fzIyMvjyyy+zfVAiOTk528VYcxISEkJaWhqdO3cGoGzZsiQlJbF06dJsb5FeuXIFe3t77OzsAOjTpw8PHz5k5syZenUfPHjAggULKFOmjHbJjT179jBy5EiqVavGqlWrsh2Zy5J17lnXQgghxMuTW5ZCa+zYsRw8eFBnWQUXFxdMTEyYNm0affr0ITU1lfXr12sXdU1MTNTWrVixIi4uLqxcuZLGjRtToECBHI9VsGBBACIiIqhXrx4VK1akbdu2BAcHk5ycjIeHB2fPniU4OBgPDw/q1q0LZC4D4e/vz9ChQ2nXrh0xMTFMnz6dBg0aULlyZe1SHACFCxemRIkSrFixgqJFi1KwYEH279/PkiVLAEhKSgJg48aN/Pbbb3z//ffY2dkxevRoPv74Y8aOHcvcuXOz7X+NGjUwNzfn2LFjVKlSRVv+3nvvMX36dEaOHEmbNm3o1KkTzs7OpKenc/z4ccLCwrh//z6fffaZTnsxMTGcOHECyJzz9eDBA7Zv3054eDh+fn64uroCmSOJI0eOZPz48XTp0oVOnTpRqlQpHj9+TEREBBs2bOD777/Xzn9zd3dnyJAh/PDDD1y6dIm2bdtia2vLhQsXWLRoEQkJCcybNw+VSkVKSgqjR4/GysoKPz8/vbcPFC1aVCegHT16lJIlS2qXxchrGYrmueuMZSgaTFS5e3hCCCEMSQKZ0LKxsWHChAkMGjRIW1amTBmmT59OcHAw/v7+FCpUCHd3d5YtW0b37t05cuSIdk4WZI6SnT59mlatWj3zWB4eHnz00UdMnz6dAwcOMG/ePCZNmkSZMmVYt24dCxcuxMHBge7duzNw4EDtiFqDBg2YO3cuQUFBDBw4EFtbW5o3b86QIUOyPc7s2bOZNGkSgYGBqNVqKlasyJw5c5g8eTJHjhyhSZMmTJo0iXr16mkfKHB0dOR///sfEydOZN26dbRv316vXQsLC+rVq8eePXv0nsZs1KgRmzdvZtWqVYSFhXHz5k0URaFUqVK0aNECX19fvScx9+zZw549e4DMeXNFihTBycmJkJAQvdvDvr6+lClThqVLlzJjxgwePnyIlZUVbm5uLFmyBA8PD536/v7+VKlShRUrVjBlyhQePnxI0aJFqVevHn5+ftoRrmPHjmlvGffp00fvnAcNGqTzQMW+ffueOQr6ppkYPT9oSRgTQrwtVIq83VmIl3Lq1Ck6d+5MREQEJUqUMHR38tShQ4f47LPP+O233155pX4/Pz9CQkJeU8+EEK+b/IzmDZlDJsRLcnV1pVmzZixYsMDQXclz8+fPp2fPngZ7bZIQQrxrJJAJ8QrGjRvHnj17nvmKpXfNvn37uHPnjt56cEIIIV6ezCET4hXY2Ni89AKvb6u6detqH7IQQgjxesgImRBCCCGEgUkgE0IIIYQwMAlkQgghhBAGJoFMCCGEEMLAJJAJIYQQQhiYBDIhhBBCCAOTQCaEEEIIYWASyIQQQgghDEwCmRBCCCGEgUkgE0IIIYQwMAlkQgghhBAGJu+yFEIY1PXr1/Hz88tV3ejoaBwdHd9wj/675Pq+eW/jNb5+/bqhu/CfoFIURTF0J4QQIjf8/PwICQkxdDfeWXJ93zy5xiIncstSCCGEEMLAJJAJIYQQQhiYBDIhhBBCCAOTQCaEEEIIYWASyIQQbw0fHx9Dd+GdJtf3zZNrLHIiT1kKIYQQQhiYjJAJIYQQQhiYBDIhhBBCCAOTQCaEEEIIYWASyIQQQgghDEwCmRBCCCGEgUkgE0IIIYQwMAlkQgghhBAGJoFMCJHv7d27l3bt2vH+++/ToEED5s6diyyh+HokJSVRuXJlnJ2ddb5cXV0N3bW33u3bt6lRowaRkZE65ZcvX6Zfv35Ur14dDw8PvvzyS+Li4gzUS5FfmBi6A0II8SzHjh1jwIABNG/enKFDh3L06FFmzpyJRqPB39/f0N176507dw6NRsOMGTMoUaKEttzISP69/ipu3rzJp59+yuPHj3XK4+Li6NWrFw4ODkydOpUHDx4wbdo07ty5w6JFiwzUW5EfSCATQuRrP/30E5UqVWLatGkA1KtXj/T0dObNm0fv3r0xNzc3cA/fbmfPnsXU1JQmTZpgampq6O689TQaDRs2bGDq1KnZbl+1ahVxcXFs3LgROzs7ABwdHenXrx9HjhyhRo0aedldkY/IP4GEEPlWamoqkZGRNGnSRKe8adOmJCYmcuTIEQP17N1x9uxZKlasKGHsNTl37hwTJkygTZs22Yay/fv3U716dW0YA6hbty5WVlbs3bs3L7sq8hkJZEKIfOv69eukpaVRtmxZnfIyZcoAcPXq1bzv1Dvmn3/+wcjIiN69e+Pu7k6tWrUYN24c8fHxhu7aW6lYsWJEREQwatSobEdvL126RLly5XTKjIyMKFmypHw//8fJLUshRL6VNdHZ2tpap9zKygpAQsMr0mg0nD9/HiMjIz7//HMGDBjAqVOnCA4O5uLFiyxfvlzmkr0gGxubZ26Pi4vTfv8+ycrKSr6f/+MkkAkh8i2NRgOASqXKdruEhVejKApz586lSJEiVKhQAYCaNWtSpEgRRowYwb59+6hfv76Be/nuye77WVGUHL/PxX+D/DYTQuRbBQsWBPRHwhISEgD9kTPxYoyNjfHw8NCGsSxeXl5A5nwo8XpZW1tnOxKWmJhIgQIFDNAjkV9IIBNC5FulS5fG2NiYa9eu6ZRnfa5YsaIhuvXOiI6OZs2aNdy5c0enPDk5GQBbW1tDdOudVq5cOaKionTKNBoNN27ckO/n/zgJZEKIfMvMzIwaNWoQERGhsxDs9u3bKViwIG5ubgbs3dsvNTWVsWPHEhoaqlO+detWjIyMqF69uoF69u6qU6cOhw8fJiYmRlu2b98+EhISqFOnjgF7JgxN5pAJIfI1f39/evfuzZAhQ2jfvj3Hjx9n4cKFfP7557IG2SsqVaoUrVu3Zv78+ajVatzd3Tl69CghISF06dKF8uXLG7qL75wuXbqwfPlyevfuzaBBg3j48CHTpk2jXr16VKtWzdDdEwakUuT9I0KIfC4iIoJZs2Zx5coVHB0d6dq1K3369DF0t94JKSkpLFiwgM2bN3Pr1i0cHR3p1KkTn376KcbGxobu3lstMjKSHj16sHTpUjw8PLTl58+fZ/LkyRw/fhwrKysaNWrEF198IXMi/+MkkAkhhBBCGJjMIRNCCCGEMDAJZEIIIYQQBiaBTAghhBDCwCSQCSGEEEIYmAQyIYQQQggDk0AmhBBCCGFgEsiEEEIIIQxMApkQQgghhIFJIBNCCCGEMDAJZEIIIYQQBiaBTAghhBDCwCSQCSGEEEIYmAQyIYQQQggDk0AmhBD50I0bN3B2dqZ79+6G7sorefz4MTExMYbuhhD5ngQyIYQQb8T+/ftp0qQJFy5cMHRXhMj3JJAJIYR4I44fPy6jY0LkkgQyIYQQQggDk0AmhBBvgcjISJydnQkPDyc4OJiGDRvi6upKy5Yt2bFjB+np6cyZM4eGDRvi7u5O27Zt2bt3r04bzs7OjB49ms2bN9O8eXNcXV1p2rQp8+bNIyMjQ6duRkYGy5Yto3Xr1ri5ufHBBx/Qo0cP9uzZo1Nv/fr1ODs7s2XLFjp06EDVqlVp1qwZnTp1Ijg4GIAePXrQsGFD7T5RUVGMGTOGhg0bUrVqVdzd3WnTpg0rVqzQaTswMJBq1apx48YNhg4dioeHB25ubvj6+rJ//369a3T16lVGjhyJp6cn77//Pi1atGDevHmkpqbq1Pvrr7/w8/OjVq1auLq64uPjw6JFi/SugRB5SaUoimLoTgghhNB148YNvL29qVWrFsuWLSMyMpIePXpQrFgxLCws6Ny5M2lpacyfP5+EhAQ++ugjbt26RceOHUlPT2f+/PkkJSWxdetWSpYsCWQGshIlShAdHU2nTp2oUKECu3bt4o8//sDHx4fp06cDoNFoGDhwILt27cLDwwNvb28SEhLYsGEDUVFRBAYG0rt3byAzkI0aNQpLS0saNWpE9erVSUxMxNnZmVWrVhEREYGfnx+urq40atSIGzdu0K5dO9RqNb6+vjg6OnL37l3Wrl3L7du3+f7772nZsiWQGcjCw8Oxs7OjcuXK1KtXj4cPH7J48WISExPZunUrZcuWBeCff/6hS5cuKIqCr68vZcqU4eDBg2zbtk3n3Hbu3MmQIUMoWbIk7dq1w9LSkj/++INdu3bRuHFjgoKCUKlUefy3LQSgCCGEyHeuX7+uODk5Kd26dVMURVEOHjyoODk5KXXq1FEeP36srffzzz8rTk5Oiqenp075ypUrFScnJ2XNmjXaMicnJ8XJyUnZtGmTtkyj0SgDBw5UnJyclMjISEVRFGXDhg2Kk5OTMnLkSEWj0WjrPn78WGnWrJlSpUoV5dq1a4qiKMq6desUJycnpUOHDjp1FUVRZs2apTg5OSkHDx7Ulk2ePFlxcnJS/v77b526Fy5cUJycnJT+/ftry0aOHKk4OTkp48eP16m7ceNGxcnJSZkxY4a2rGvXroqLi4ty9uxZnbr/+9//FCcnJ+X8+fNKYmKi4uHhobRt21ZJSUnRqTdz5kzFyclJ2bJliyKEIcgtSyGEeIvUq1cPa2tr7eeKFSsC4OXlpVNepkwZAKKjo3X2L1++PK1atdJ+VqlU9OvXD4AdO3YA8OuvvwIwdOhQndEia2tr/Pz8SE9PZ/v27TrtNmjQIFcjS4GBgfzxxx+4uLhoyzQaDenp6QAkJibq7fNkfwFcXV0BuHfvHgAxMTEcOXKEevXqUalSJZ26o0aN4pdffqFMmTL8+eefxMbG0rRpU+Lj44mJidF+tWjRAoCIiIjnnoMQb4KJoTsghBAi9+zt7XU+m5iYZFtubGwMgPLUrJT33ntPr83y5csDmXO7sv5rbW1N0aJF9eo6OTkBmbdUn9WvnKhUKtLT0wkKCuLs2bPcuHGDqKgokpKSsu1vdm2r1WogM8gB3Lp1C0VRqFChgt6+RYoUoUiRIgBcuXIFgBkzZjBjxoxs+3fz5s1cnYcQr5sEMiGEeItkBbCn5XbeU1aYeVLW6NSTIS6n9rImvj/dTta+z3PgwAH69++PmZkZH374Id7e3rz33ntUr16devXqZbvP884tq//Pq5cV4AYPHky1atWyrWNlZfW8UxDijZBAJoQQ/yHXrl3TK7t8+TKAdoJ86dKluXz5Mnfu3NEbJbt48SIAxYsXf6njjxs3DnNzc7Zs2aIz8vX0rdUXkfXQQtYI2JP++ecf5s2bR+fOnbX1zM3N+eijj3TqxcfHs3///lyP9AnxuskcMiGE+A/566+/OHTokPazRqNh7ty5qFQq7Tyqpk2bAvDDDz/o3EJMTExk3rx5GBsb06hRo+cey8jISHuMLLGxsdjZ2WlvI2aZP38+8O9o14soUqQI7u7u7N27Vy+ULV++nC1btlCgQAE8PT2xsrLi559/JjY2VqdeSEgIQ4YM0VvWQ4i8IiNkQgjxH2JmZka/fv3o1q0bRYsWZfv27Rw6dIhevXppJ8u3bt2aX3/9lQ0bNnDr1i28vb1JSkpiw4YNXL16lc8//5xSpUo991hZoWvVqlXcvXuX1q1b4+3tzcaNGxk4cCD169cnKSmJHTt2cOzYMdRqNY8fP36p8xo7dizdu3enY8eOdO3alWLFimmXvfjkk0+oUqUKkDlCN2rUKFq2bEnnzp1xcHDg4MGDbN26FTc3N7p06fJSxxfiVUkgE0KI/5D333+f9u3b89NPPxEdHU25cuWYNGkSHTp00NYxNjZm9uzZLFmyhI0bN/L9999jYWGBq6sro0ePznGu19M+/vhjIiIi2L17NwcOHKBx48aMGzcOGxsbduzYwb59+7Czs8PJyYmlS5cSGhrK1q1buXXr1gvfEq1atSphYWHMmjWL1atXk5ycTJkyZRg/fjydO3fW1mvTpg3FihVjwYIFLF26lJSUFIoXL46/vz+ffvoplpaWL3RcIV4XWRhWCCH+I5ydnbULzQoh8heZQyaEEEIIYWASyIQQQgghDEwCmRBCCCGEgckcMiGEEEIIA5MRMiGEEEIIA5NAJoQQQghhYBLIhBBCCCEMTAKZEEIIIYSBSSATQgghhDAwCWRCCCGEEAYmgUwIIYQQwsAkkAkhhBBCGJgEMiGEEEIIA5NAJoQQQghhYBLIhBBCCCEMTAKZEEIIIYSBSSATQgghhDAwCWRCCCGEEAYmgUwIIYQQwsAkkAkhhBBCGJgEMiGEEEIIA5NAJoQQQghhYBLIhBBCCCEM7P8A6Vms3MpW8h0AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 300x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for feature in plot_df.head(6)[\"drug_name\"].values:\n",
    "    plot_feature_rank(feature, top=(0, 20))\n",
    "    plt.savefig(\n",
    "        f\"./reports/vae/drugresponse/{TIMESTAMP}_{feature}_top20.pdf\",\n",
    "        bbox_inches=\"tight\"\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "feature = '1797;Daraprim;GDSC2'\n",
    "plot_df = (\n",
    "        shap_latent_sum_df.T[[feature]]\n",
    "        .sort_values(by=feature, ascending=False)\n",
    "    )\n",
    "plot_df.index.name = \"feature\"\n",
    "plot_df[\"omic_layer\"] = plot_df.index.map(lambda x: x.split(\"_\")[0])\n",
    "plot_df[\"omic_layer\"] = pd.Categorical(\n",
    "    plot_df[\"omic_layer\"], categories=marker_order, ordered=True\n",
    ")\n",
    "plot_df = plot_df.reset_index()\n",
    "plot_df['feature'] = plot_df['feature'].map(lambda x: \"_\".join(x.split(\"_\")[1:]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        vertical-align: middle;\n",
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       "\n",
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       "    }\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>drug_name</th>\n",
       "      <th>feature</th>\n",
       "      <th>1797;Daraprim;GDSC2</th>\n",
       "      <th>omic_layer</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>day4_day1_ratio</td>\n",
       "      <td>10.500363</td>\n",
       "      <td>conditionals</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>tissue_Haematopoietic and Lymphoid</td>\n",
       "      <td>8.755131</td>\n",
       "      <td>conditionals</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>mut_KRAS</td>\n",
       "      <td>0.955388</td>\n",
       "      <td>conditionals</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>tissue_Central Nervous System</td>\n",
       "      <td>0.937008</td>\n",
       "      <td>conditionals</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>mut_KMT2D</td>\n",
       "      <td>0.831227</td>\n",
       "      <td>conditionals</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27847</th>\n",
       "      <td>NUTM2B</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>copynumber</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27848</th>\n",
       "      <td>mut_MTOR</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>conditionals</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27849</th>\n",
       "      <td>mut_MYC</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>conditionals</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27850</th>\n",
       "      <td>MLLT11</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>copynumber</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27851</th>\n",
       "      <td>msi_status</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>conditionals</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>27852 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "drug_name                             feature  1797;Daraprim;GDSC2   \n",
       "0                             day4_day1_ratio            10.500363  \\\n",
       "1          tissue_Haematopoietic and Lymphoid             8.755131   \n",
       "2                                    mut_KRAS             0.955388   \n",
       "3               tissue_Central Nervous System             0.937008   \n",
       "4                                   mut_KMT2D             0.831227   \n",
       "...                                       ...                  ...   \n",
       "27847                                  NUTM2B             0.000000   \n",
       "27848                                mut_MTOR             0.000000   \n",
       "27849                                 mut_MYC             0.000000   \n",
       "27850                                  MLLT11             0.000000   \n",
       "27851                              msi_status             0.000000   \n",
       "\n",
       "drug_name    omic_layer  \n",
       "0          conditionals  \n",
       "1          conditionals  \n",
       "2          conditionals  \n",
       "3          conditionals  \n",
       "4          conditionals  \n",
       "...                 ...  \n",
       "27847        copynumber  \n",
       "27848      conditionals  \n",
       "27849      conditionals  \n",
       "27850        copynumber  \n",
       "27851      conditionals  \n",
       "\n",
       "[27852 rows x 3 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>drug_name</th>\n",
       "      <th>feature</th>\n",
       "      <th>1797;Daraprim;GDSC2</th>\n",
       "      <th>omic_layer</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>GPX1</td>\n",
       "      <td>0.457230</td>\n",
       "      <td>proteomics</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>932</th>\n",
       "      <td>GPX4</td>\n",
       "      <td>0.168169</td>\n",
       "      <td>crisprcas9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11208</th>\n",
       "      <td>GPX1</td>\n",
       "      <td>0.049368</td>\n",
       "      <td>crisprcas9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19242</th>\n",
       "      <td>GPX4</td>\n",
       "      <td>0.025154</td>\n",
       "      <td>proteomics</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21908</th>\n",
       "      <td>GPX1</td>\n",
       "      <td>0.019966</td>\n",
       "      <td>transcriptomics</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27518</th>\n",
       "      <td>GPX1</td>\n",
       "      <td>0.006202</td>\n",
       "      <td>methylation</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "drug_name feature  1797;Daraprim;GDSC2       omic_layer\n",
       "14           GPX1             0.457230       proteomics\n",
       "932          GPX4             0.168169       crisprcas9\n",
       "11208        GPX1             0.049368       crisprcas9\n",
       "19242        GPX4             0.025154       proteomics\n",
       "21908        GPX1             0.019966  transcriptomics\n",
       "27518        GPX1             0.006202      methylation"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot_df[plot_df['feature'].isin(['GPX4', 'GPX1'])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>importance</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>omic_layer</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>drugresponse</th>\n",
       "      <td>0.144201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conditionals</th>\n",
       "      <td>0.142618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>metabolomics</th>\n",
       "      <td>0.107878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>copynumber</th>\n",
       "      <td>0.088896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>crisprcas9</th>\n",
       "      <td>0.065970</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>proteomics</th>\n",
       "      <td>0.063014</td>\n",
       "    </tr>\n",
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       "      <th>transcriptomics</th>\n",
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       "      <th>methylation</th>\n",
       "      <td>0.026857</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 importance\n",
       "omic_layer                 \n",
       "drugresponse       0.144201\n",
       "conditionals       0.142618\n",
       "metabolomics       0.107878\n",
       "copynumber         0.088896\n",
       "crisprcas9         0.065970\n",
       "proteomics         0.063014\n",
       "transcriptomics    0.052217\n",
       "methylation        0.026857"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "global_feature_importance_df.groupby(\"omic_layer\")[[\"importance\"]].mean().sort_values(\n",
    "    \"importance\", ascending=False\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "global_feature_importance_omic_summary_df = (\n",
    "    global_feature_importance_df.groupby(\"omic_layer\")[[\"importance\"]]\n",
    "    .mean()\n",
    "    .sort_values(\"importance\", ascending=False)\n",
    ").reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>feature</th>\n",
       "      <th>importance</th>\n",
       "      <th>omic_layer</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>conditionals_day4_day1_ratio</td>\n",
       "      <td>9.014879</td>\n",
       "      <td>conditionals</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>conditionals_tissue_Haematopoietic and Lymphoid</td>\n",
       "      <td>7.739065</td>\n",
       "      <td>conditionals</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>conditionals_tissue_Lung</td>\n",
       "      <td>1.715674</td>\n",
       "      <td>conditionals</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>conditionals_mut_TP53</td>\n",
       "      <td>1.607691</td>\n",
       "      <td>conditionals</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>conditionals_mut_KRAS</td>\n",
       "      <td>0.977371</td>\n",
       "      <td>conditionals</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27847</th>\n",
       "      <td>copynumber_SETD1B</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>copynumber</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27848</th>\n",
       "      <td>copynumber_FOXD4L1</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>copynumber</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27849</th>\n",
       "      <td>conditionals_tissue_Adrenal Gland</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>conditionals</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27850</th>\n",
       "      <td>copynumber_ZNF814</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>copynumber</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27851</th>\n",
       "      <td>conditionals_msi_status</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>conditionals</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>27852 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               feature  importance   \n",
       "0                         conditionals_day4_day1_ratio    9.014879  \\\n",
       "1      conditionals_tissue_Haematopoietic and Lymphoid    7.739065   \n",
       "2                             conditionals_tissue_Lung    1.715674   \n",
       "3                                conditionals_mut_TP53    1.607691   \n",
       "4                                conditionals_mut_KRAS    0.977371   \n",
       "...                                                ...         ...   \n",
       "27847                                copynumber_SETD1B    0.000000   \n",
       "27848                               copynumber_FOXD4L1    0.000000   \n",
       "27849                conditionals_tissue_Adrenal Gland    0.000000   \n",
       "27850                                copynumber_ZNF814    0.000000   \n",
       "27851                          conditionals_msi_status    0.000000   \n",
       "\n",
       "         omic_layer  \n",
       "0      conditionals  \n",
       "1      conditionals  \n",
       "2      conditionals  \n",
       "3      conditionals  \n",
       "4      conditionals  \n",
       "...             ...  \n",
       "27847    copynumber  \n",
       "27848    copynumber  \n",
       "27849  conditionals  \n",
       "27850    copynumber  \n",
       "27851  conditionals  \n",
       "\n",
       "[27852 rows x 3 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "global_feature_importance_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>omic_layer</th>\n",
       "      <th>importance</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>drugresponse</td>\n",
       "      <td>0.144201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>conditionals</td>\n",
       "      <td>0.142618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>metabolomics</td>\n",
       "      <td>0.107878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>copynumber</td>\n",
       "      <td>0.088896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>crisprcas9</td>\n",
       "      <td>0.065970</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>proteomics</td>\n",
       "      <td>0.063014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>transcriptomics</td>\n",
       "      <td>0.052217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>methylation</td>\n",
       "      <td>0.026857</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        omic_layer  importance\n",
       "0     drugresponse    0.144201\n",
       "1     conditionals    0.142618\n",
       "2     metabolomics    0.107878\n",
       "3       copynumber    0.088896\n",
       "4       crisprcas9    0.065970\n",
       "5       proteomics    0.063014\n",
       "6  transcriptomics    0.052217\n",
       "7      methylation    0.026857"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "global_feature_importance_omic_summary_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ePJjmzZsTHR3NiBEj2Lt3L4MGDbqv74OIiIi1qYstixISEoiJiSE4OJihQ4cC0KBBA+Li4jh48CCff/459evXJzw83LROrVq1aNWqFfPmzWPIkCHA7atQoaGhdOzYEQAfHx82bdrE1q1badSoEdu3b+fo0aPMmjWLJk2aAFC3bl2zAdqWqlatiqOjI25ubnh5eWWYn5aWxoQJE3Kkvj/++INSpUoxbtw4ypUrZ6rv2LFj7N+/P9P6Dh48SL58+ejduzf58uUDwNXVlWPHjmEYBnZ2dvdsf7G9Gzdu2LoEuU9paWn8+uuvti5DJIMzZ87YuoQ7UkDKoiNHjpCcnEyzZs3Mpg8fPpzffvuNVq1aERYWZjavXLlyeHt7s2/fPrPp3t7epq/Tg036D58DBw7g4OBA48aNTcs4OTnh7+/P999/f1+1nzp1ir///jtH6nvuuedYvHgxaWlpnD17lj/++IMTJ07w+++/33GMSp06dQgPD6dNmza0bNmSxo0b07BhQ/z9/bN1HGvWrGHNmjXZWkceXPr39ZdffrFxJfIgdu7caesSRO7oURyDpICURel3iGU28Dl9XrFixTLMK1asGMePHzeblj9/frPP9vb2pnFMV69exdXVFXt7897P4sWL32/pOVofQExMDLNmzSI+Pp5ixYpRrVo1ChQoQGJiYqb79/b2Zvbs2Xz66afMnTuXmTNnUrx4cXr37s2rr76a5eMIDAwkMDAww/SQkJAsb0OyL2/e2/9NeHh44OTkZONq5H4ULFiQrl272roMkQzOnDnD2LFjcXZ2tnUpGSggZVGhQoUAiIuLo2LFiqbpFy5cMP1mfenSpQzr/f333xQpUiTL+ylSpAjx8fGkpqaSJ08e0/R/38KfXa6urjlW39dff824ceMYNGgQQUFBpsD49ttvc+zYsTuu16hRIxo1akRSUhJ79+5lwYIFfPzxx3h5eVGzZs3sHZDYhJOTEy4uLrYuQ+6Di4sL7u7uti5D5LGiQdpZ5OnpiYODA5s3bzabPn/+fKZMmULx4sX5+uuvzeadPXuWI0eOUKtWrSzvp169eqSkpPDtt9+apt26dYtdu3bddT3LK07/9swzz+RYfQcPHsTFxYU+ffqYwtH169c5ePBghjvt0o0fP56goCAMw6BAgQI0bdqUYcOGAZjdRSciIvKo0BWkLHJzc6N79+7Mnz8fR0dH08DkhQsXEhYWhqurKyNGjGDgwIG8/PLLxMfHExUVReHChXnttdeyvJ969erRsGFD3nvvPS5fvkzp0qVZsGABcXFxFC1a9I7rFSpUiOPHj7N//348PT3N5tnb2xMWFpYj9Xl6evL5558zbtw4mjZtSmxsLHPnzuXSpUsULlz4jscUExPD8OHDadu2LcnJycyZMwdXV1fq1q2b5X2LiIg8LApI2TBkyBCKFSvG559/zrx58yhTpgzvvPMOXbp0AW7388+aNYu+ffvi7OxMo0aNCAsLy/b4oaioKCZOnMjUqVO5efMmrVq14j//+U+Gq1f/1rNnTz7++GNef/11YmJiMsxv3759jtTXrl07zp07x7Jly1i8eDElS5bE39+fLl268P7773Py5MkMD7Fs3LgxEydOZN68efTr1w87Ozt8fHxYsGCBqftPHl3pY5DS/xYRySnOzs7Y29s/kmOQ7Ay94VQecyEhIbi7u99xkLg8uOTkZBwcHGxdhtwnFxeXDHexijwqrl69esceiOwICQlh5syZOVDRbRqDJCL3pHAkItaSE+HIGhSQRERERCwoIImIiIhYUEASERERsaCAJCIiImJBAUlERETEggKSiIiIiAUFJBERERELCkgiIiIiFhSQRERERCzo5UqSK7i4uNi6BJFHlv59iGSfApLkCr1797Z1CSIikouoi01ERETEggKSiIiIiAUFJBERERELCkgiIiIiFhSQRERERCwoIImIiIhYUEASERERsaCAJCIiImJBAUlERETEggKSiIiIiAUFJBERERELeheb5ArR0dEkJibaugzJhVxcXPSuP5EnkAKS5AqJiYkKSCIikmPUxSYiIiJiQQFJRERExIICkoiIiIgFBSQRERERCwpIIiIiIhYUkEREREQsKCCJiIiIWFBAEhEREbGggCQiIiJiQQEpBxmGYesSREREJAcoIOWQkydP0rlz52yvFxwcTHBw8APvf9++fXh4eLBv374H3tajtC+RhyE5OfmBt3H16tUcqEREHhUKSDlk/fr1HD582NZlPBTVqlVjyZIlVKtWzdaliDywpKQk9uzZQ1JS0n1v4/z58wQFBXH+/PkcrExEbEkvq5Vsc3Z2xsvLy9ZliOSIlJQUs7/vx7Vr10hLS+PatWs5VZaI2NgTdwUpICCAqKgoxo4di5+fH97e3gwaNIjr168ze/ZsGjdujI+PD2+99Rbx8fGm9ZYuXUrr1q2pXr06TZo0ITIy0vQfamRkJFFRUQB4eHgQGRkJQFxcHGPGjKFp06ZUr14dX19f+vbty7lz5zLUNW3aNOrXr4+3tzehoaGcPXvWbP6xY8d4/fXX8fPzo1atWoSEhHDixIm7Huu91knvKtuzZw/BwcF4enrSpEkTli5dSmxsLP369cPb2xt/f38+/fTTDOv9u4vtxx9/pFevXvj4+FC3bl0GDhzIhQsXTPM/++wzXnzxRWrUqEGjRo0YPXq0fpiIiMgj64kLSAAxMTGcP3+e8PBwQkJCWLNmDR06dGDXrl188MEHvPXWW2zevJmpU6cCMGvWLN5//33q1avHzJkz6dq1K9HR0YwcORKAjh07EhQUBMCSJUvo2LEjhmHwxhtvsGvXLgYNGsTcuXMJDQ1l9+7dpvXSHTx4kK+//pqRI0fy4Ycf8vPPP9OjRw9u3boFwN69e+ncuTNpaWl89NFHfPjhh1y4cIFOnTrx22+/ZXqM2VknLCyMgIAAZs6cSYUKFRg1ahTdu3fH3d2dqVOnUq1aNcaOHcvRo0cz3dfPP/9M586dSUpKYty4cfzf//0fx48fp2fPniQnJ7N27VrGjx9P165dmTt3Ln379mXVqlV8+OGH9/9NFBERsaInsoutYMGChIeHkzdvXurXr8+KFSuIjY1l6dKluLi44O/vz969ezl06BCJiYnMmDGDV155hffeew+Ahg0b4urqynvvvcdrr73Gs88+S6lSpQBMXU8XL16kQIECDBs2jNq1awPg5+fHuXPn+OKLL8zqsbe3Z+7cuZQuXRqASpUq8fLLL7NixQpeeeUVJk2aRNmyZZkzZw558uQx1dCsWTMiIyOZMmVKhmPMzjodOnTgtddeA8DJyYlXXnkFT09P+vfvD0D16tXZvHkzhw4dwtPTM8O+pk+fTuHChZk3bx758uUDoFSpUgwYMIBffvmFffv2Ubp0abp27Yq9vT2+vr44OTmZXaETsbUbN25kOj0tLY1ff/31ruueOXPGGiWJiA09kQHJ09OTvHn/d+jFixfH2dkZFxcX0zRXV1d+/fVXDh8+TFJSEgEBAWZjFAICAgDYtWsXzz77bIZ9lCxZkgULFgC3B3CePn2a3377jUOHDmW4Y8bLy8sUjgCqVKlCmTJl2L17N23atOHYsWP07dvXFHQAChUqRNOmTdm2bVuGfd+4cSNb63h7e5u+LlasGAA1a9Y0TStSpAgAiYmJGfYFt6+A+fv7m8IR3G7jLVu2ALd/eCxZsoT27dvTvHlzmjRpQps2bbCzs8t0e3eyZs0a1qxZk611RO4l/d/1L7/8csdldu7cmaVtqdtYJPd4IgOSs7NzhmkFChTIdNkrV64A0KdPn0znx8bG3nE/q1evZvLkyVy4cAFXV1eqVKlC/vz5MyyXHkr+rWjRoiQkJJCYmIhhGJkuU6xYsUxDS3bXyU57ZObKlSsULVr0jvNbtWpFWloaixcvJioqioiICEqXLs2gQYNo3bp1lvcTGBhIYGBghukhISFZ3oaIpfRfljw8PHBycsowv2DBgnTt2vWu2zhz5gxjx47N9N+SiDyensiAlB2FChUCYOLEiVSoUCHD/MxCCMCBAwcYNmwY3bp14/XXXzd1wX3yySccPHjQbNmEhIQM6//99994e3vj4uKCnZ0dly5dynQZV1fXDNPvZ50H4eLiQlxcXIbp27Zto0qVKpQsWdIUbhITE9m5cyfR0dEMGTKE2rVrU7JkyRytR+R+ODk5mV1FTufi4oK7u7sNKhIRW3oiB2lnR82aNXFwcODixYvUqFHD9MfBwYFJkyaZ7kiztzdvysOHD5OWlkb//v1N4Sg1NZXdu3cDt8c1/HvZf1/VOXr0KH/++Sd169bFycmJ6tWrs27dOlJTU03LJCYmsnXrVnx8fDLUfD/rPIjatWuzY8cO06ByuN1d0adPH44dO8aAAQPo168fcPuHTcuWLQkNDSU1NfWuV+BERERsRVeQ7qFIkSL06tWLiIgIrl27hp+fHxcvXiQiIgI7OzuqVKkC/O9K05o1a6hZs6ZpMPP//d//0aFDBxISEli4cCE///wzcHucUPrl+LS0NPr06UNISAjx8fFMmjQJd3d32rZtC8CgQYN4/fXX6dWrF926dSM5OZnZs2dz69YtU/CwdD/r3K/Q0FBeeeUVevfuzauvvsqtW7eIiIigWrVqNG7cmEuXLjFq1CjGjx9P48aNSUhIICoqigoVKpjaT0RE5FGigJQFAwYMoHjx4ixevJg5c+ZQuHBh6tWrR1hYmOmSfPPmzVm1ahXDhw8nKCiI0aNHM3LkSGJiYtiwYQPFihXDz8+PqKgo+vbtaxrYDNC0aVPKlSvHkCFDSElJoWnTprz77rumQc/16tUjJiaGqVOnEhYWhqOjI7Vr12b8+PGZDhC/33XuV9WqVfnss8+YNGkSAwcOpGDBgvj7+zN48GAcHR3p1KkTycnJfPHFFyxevJj8+fNTr149hgwZgoODQ47WIpJd6WOQ/n3jRnY5Oztjb2+vMUgiuYidoTesymMuJCQEd3f3O95lJ3IvycnJdwzrLi4uhIWF3XMbV69epXDhwjldmohkUUhICDNnzsyx7WkMkog88XLiSqbCkUjuooAkIiIiYkEBSURERMSCApKIiIiIBQUkEREREQsKSCIiIiIWFJBERERELCggiYiIiFhQQBIRERGxoIAkIiIiYkHvYpNcIf2deCI5TeeWyJNJAUlyhd69e9u6BBERyUXUxSYiIiJiQQFJRERExIICkoiIiIgFBSQRERERCwpIIiIiIhYUkEREREQsKCCJiIiIWFBAEhEREbFg9YAUHh7OwYMHrb0bERERkRxj9YC0YMECBSQRERF5rFg9IDk5OZEnTx5r70ZEREQkx1j9XWxhYWF88sknFCxYkKZNm1K8eHHs7TX0SXJWdHQ0iYmJti5DHhIXFxe9f09ErMrqAenTTz/l1q1bjBkzhjFjxmS6jJ2dHcePH7d2KZKLJSYmKiCJiEiOsXpAcnV1xdXV1dq7EREREckxVg9In332mbV3ISIiIpKjHupgoKSkJE6dOkVSUhJpaWkPc9ciIiIiWfZQAtLZs2d54403qFOnDq1ateLIkSPs37+fNm3a6BEAIiIi8sixekC6cOEC//nPf9izZw+1atUyTU9LS+PUqVP06tWLn3/+2dpliIiIiGSZ1QPS1KlTuXnzJitWrGDKlCkYhgFA/fr1+eqrr3B0dGTGjBnWLkNEREQky6wekHbs2EHnzp2pVKkSdnZ2ZvOqVKlCp06dOHLkiLXLEBEREckyqwekK1euUL58+TvOf/rpp4mPj7d2GSIiIiJZZvWAVKpUKU6ePHnH+UeOHKFEiRLWLkNEREQky6wekJo1a8bSpUs5evSoaVp6V9u6detYvXo1TZs2tXYZIiIiIllm9YAUGhpKqVKl6NKlCz169MDOzo6oqCjatGnDoEGDKFGiBG+++aa1y5AHcO7cOTw8PFi+fLmtS5EnUHJycrbXuXr1qhUqEZEnidUDkouLC0uWLKFjx4789ddfGIbBgQMH+PPPP2nTpg1LlizBzc3N2mWIyGMoKSmJPXv2kJSUlOV1zp8/T1BQEOfPn7diZSKS21n9VSMAhQoVYtSoUYwaNYq4uDjS0tJwc3PD3v6hPshbRB4zKSkpZn9nxbVr10hLS+PatWvWKktEngBWTyivv/4669at49atWwC4ublRrFixxyIcGYbBokWLaN26NZ6enjRr1ozo6GjTs5x27dpFly5d8PHxwc/Pj0GDBnHhwgXT+suXL8fDw4MffviBdu3a4enpSZs2bVi3bp1pmQ4dOtCpU6cM+3799dcJDg4GIDg4mHfffZfZs2fTpEkTatSoQadOnfjhhx9My0dGRuLh4ZFhOx4eHkRGRgL/6yrbuHEjoaGheHl5Ub9+faZPn861a9d455138PHxoX79+kyYMMF0nOkuXrzIG2+8gaenJ/7+/kydOpXU1FSzZZYuXUrr1q2pXr06TZo0ITIy0uyH2/Dhw3n11VcZNWoUtWvXpl27dtn64SciIvIwWD2lHD16lEGDBtGgQQNGjx5tNlj7UTd58mQ++ugj/P39mTFjBh07diQ8PJzp06ezatUqevbsScmSJZk8eTIjRozg8OHDvPLKK1y+fNlsO2+88QbPP/88UVFRPPPMM4SFhbF582YAgoKCOHz4MKdPnzYtf/HiRfbs2UOHDh1M0zZu3MjmzZt57733mDx5MpcuXaJ///4ZAkpWvPvuu7i7uzNjxgzq1q1LREQEQUFB5M+fn4iICAICApgzZw4bNmwwWy8yMhI3NzemTZtGhw4dmDlzJlOnTjXNnzVrFu+//z716tVj5syZdO3alejoaEaOHGm2nQMHDnD69GkiIyPp27cvefM+lAuZIiIiWWb1n0y7du3i22+/ZeXKlSxdupQlS5bwzDPP0KFDB9q2bUvx4sWtXcJ9SUhIICYmhuDgYIYOHQpAgwYNiIuL4+DBg3z++efUr1+f8PBw0zq1atWiVatWzJs3jyFDhpimd+vWjX79+gHQqFEj2rVrx/Tp03n++ecJDAxk3LhxrFq1iv79+wOwevVq8ufPT/PmzU3bSElJYe7cuTg7OwNw/fp1hg0bxk8//UT16tWzdWyNGjViwIABAFSuXJm1a9dStGhRU5Bp0KAB69ev59ChQ7Rs2dK0Xr169Rg7dqxpG9euXWPBggX07NkTe3t7ZsyYwSuvvMJ7770HQMOGDXF1deW9997jtdde49lnnzUdy5gxY+76fCyRf7tx44bZ57S0NH799ddMlz1z5szDKElEcjmrByRHR0datWpFq1atuHTpEqtXr2bFihVMmDCB8PBwGjRoQIcOHWjatCkODg7WLifLjhw5QnJyMs2aNTObPnz4cH777TdatWpFWFiY2bxy5crh7e3Nvn37zKa/9NJLpq/t7Oxo1qwZkZGRJCUl4eLiQvPmzVm9erUpIK1cuZIXX3wRJycn03qVK1c2hSOAkiVLAmRr8Go6b29v09fpAbVmzZpmNRYuXJjExESz9Vq1amX2uXnz5syfP58jR45gZ2dHUlISAQEBZl1mAQEBwO2gnB6Q8ufPT7ly5bJd95o1a1izZk2215PHV/q59Msvv2SYt3PnzruuqzFIIvIgHmrfRrFixejZsyc9e/bkjz/+YObMmaxcuZLt27dTpEgROnToQPfu3R+Jq0pXrlwByPQOu/R5xYoVyzCvWLFiHD9+3GxaephJV7RoUQzDIDExkQIFChAUFMTq1as5cOAAjo6OnDx5kjFjxpitU6BAAbPP6WO40tLSsnVcgFnQutP2M2N5vOlt8+9bqvv06ZPpurGxsaavixYtmuG1M1kRGBhIYGBghukhISHZ3pY8HtK7Xz08PMx+YShYsCBdu3bNdJ0zZ84wduzYTM9zEZGseuiDP06dOsWqVavYuHEjp06dIm/evKarDJ9++ilffPEF06dPp06dOg+7NDOFChUCIC4ujooVK5qmX7hwwfTb7KVLlzKs9/fff1OkSBGzafHx8WYh6dKlS+TJkwdXV1cAfH19KVeuHBs2bMDBwYHy5ctTu3btbNWbHjhSU1PJkycPcLsbLiclJCSYfU4//qJFi5qeVTNx4kQqVKiQYd3MwqRIVjk5OeHi4mL67OLigru7uw0rEpHc7qHcShYXF8dnn31GUFAQrVq1YubMmeTNm5fhw4ezfft2pk6dytSpU1m3bh2Ojo6MHj36YZR1V56enjg4OJgGU6ebP38+U6ZMoXjx4nz99ddm886ePcuRI0eoVauW2fQtW7aYvjYMg2+++QYfHx8cHR2B2+Gmffv2fPvtt3z77be0a9cu2/Wm/7b877voDh06lO3t3M2OHTvMPq9du5YCBQpQs2ZNatasiYODAxcvXqRGjRqmPw4ODkyaNIlz587laC0iIiLWZPUrSCEhIezcuZOUlBRcXFz4z3/+Q4cOHfD09MywbNmyZfH19WX79u3WLuue3Nzc6N69O/Pnz8fR0ZG6dety7NgxFi5cSFhYGK6urowYMYKBAwfy8ssvEx8fT1RUFIULF+a1114z29aECRO4desWzzzzDEuXLuW3335j/vz5Zsu0b9+eyMhIDMPg5Zdfzna9/v7+jB07lvfff5/evXvz119/ERUVRcGCBR+kGcx88803lCxZkvr167Nz506WLFnC22+/bQpnvXr1IiIigmvXruHn58fFixeJiIjAzs6OKlWq5FgdIiIi1mb1gLRt2zZ8fX3p0KEDLVq0IF++fHddvm7dutSvX9/aZWXJkCFDKFasGJ9//jnz5s2jTJkyvPPOO3Tp0gW4PQ5i1qxZ9O3bF2dnZxo1akRYWFiGMVSjR49m1qxZnD17lqpVqzJv3rwMXWglS5akSpUqFClShKeeeirbtT7zzDOMHz+eGTNm0KdPHypVqsQHH3zABx98cP8NYGH48OFs2LCBTz/9lOLFizNixAheffVV0/wBAwZQvHhxFi9ezJw5cyhcuDD16tUjLCzMrHtEJKvSxyBl51EQzs7O2NvbawySiDwQO8PyaYA57Ny5c5QpU8aau3hkLV++nBEjRrB58+Z7tsHFixcJCAhg8uTJtGjR4iFVmDuEhITg7u6e4a47yR2Sk5Mz3OHq4uKS4S7Sf7t69SqFCxe2dmki8ggJCQlh5syZObY9q19BulswSEtLIyEhgR07dtCmTRtrl/JI+umnn9i8eTMbN26kTJkyvPDCC7YuSeSRcj+P/1A4EpEHZfWAdOPGDcaNG8e6deu4ceNGhtdXpHtSA9LNmzeJiYmhZMmSTJkyxXQHmoiIiNiO1QNSZGQkX375JSVKlOCpp57i5MmT+Pj48Pfff3P69GkKFCjAO++8Y+0ybKJ9+/a0b9/+rst4eXlx8ODBh1SRiIiIZIXVb/P/9ttv8fLy4rvvvmP27NkYhsGYMWPYuHEjERER3Lx5U1dNRERE5JFi9YD0119/0bJlS/LkycNTTz2Fq6ur6S30LVq0oGXLlnz55ZfWLkNEREQky6wekPLmzWv2LJ5y5cpx4sQJ02dfX1/Onj1r7TJEREREsszqAals2bJmL5osW7as2Vu4k5OTc/yVGCIiIiIPwuoB6fnnn2fJkiXMnz+f5ORkatWqxf79+9m9ezeXLl1i6dKlT+xzkkREROTRZPWA1KtXL9zd3Rk3bhxJSUm0a9eOEiVK8Prrr9OoUSN+/fXXO76VW0RERMQWrH6bf8GCBVmyZAnbtm2jUKFCACxevJipU6dy5coVnn/++XveCi8iIiLyMFk9IAHkyZOHgIAA0+eSJUvy0UcfPYxdyxNC73p7suj7LSLWluMB6fz58/e13tNPP53DlciTpHfv3rYuQUREcpEcD0gBAQHY2dllax07OzuOHz+e06WIiIiI3JccD0gvv/xytgOSiIiIyKMkxwPSuHHjHmj9mzdvsn79eho2bEixYsVyqCoRERGRrLP6bf7ZlZiYyIgRI8yeti0iIiLyMD1yAQnAMAxblyAiIiJPsEcyIImIiIjYkgKSiIiIiAUFJBERERELCkgiIiIiFhSQRERERCwoIImIiIhYeCgvqxWxtujoaBITE21dxhPBxcVF774TkVzvkQxIelWJZFdiYqICkoiI5JhHsotND4oUERERW3ooAennn39mwIABXL582TRt7Nix9OvXj9OnT5stW6xYMX7++Wfq1av3MEoTERERycDqAen48eN07tyZTZs2ERsba5qeL18+duzYwX/+858MIUlERETElqwekCIjI3FxcWH16tU899xzpulhYWF8/fXX5MuXj6lTp1q7DBEREZEss3pAOnr0KMHBwVSqVCnDvHLlytGlSxe+//57a5chIiIikmVWD0g3btwgX758d5zv4uLC1atXrV2GiIiISJZZPSBVrFiRTZs23XH+li1bqFChgrXLEBEREckyqwekoKAgvv/+e4YOHcrPP/9McnIyKSkpnDhxgvfee4/du3cTFBRk7TJEREREsszqD4rs3Lkzhw8fZvXq1Xz99ddm8wzDoHXr1gQHB1u7DBEREZEseyhP0v7kk09o37493377LefOnSMlJYUyZcrwwgsv0LBhw4dRgoiIiEiWPbRXjdStW5e6des+rN2JiBVdvXqVwoULm/4WEcltcnwM0vnz5/nnn3/MPmflj9zm4eFBZGSkrcvIUb/99hshISF4e3vj6+tLv379+P33321dltynGzduEBQUxJEjRwgKCtK/XxHJlXL8CtLzzz/PJ598Qps2bQAICAi458tn7ezsOH78eE6X8lhasmQJpUqVsnUZOebs2bN07twZFxcXRo4cSdGiRVm2bBmdOnVi2bJllC1b1tYlSjYlJyeTlpbGpUuXSEtL49q1a7YuSUQkx+V4QHr55ZcpV66c2ed7BST5Hy8vL1uXkKPmz59PUlKSWRhq1KgRr7zyClOmTGHSpEk2rlBERCSjHA9IY8eONfs8bty4nN7FY8MwDBYvXszixYs5e/YsJUuW5D//+Q+9evVixIgRXLhwgQoVKrB27VrKli3L0qVLqVatGv369eOtt94C4LPPPmPRokX8+eefuLq68vzzzzN48GCcnZ2B211y77//PseOHeObb76hQIECtGrVisGDB5M/f34AgoODKVmyJLdu3WLnzp3Url2b2bNnc/36daZOncr69etJSEigYsWK9OvXj4CAAAD++ecfpk2bxsaNGzl//jyOjo7UrFmToUOHml4bExcXx8cff8yePXtM23jttdd4+eWXAfj999959tlnza4U2dnZ4ePjw9KlSx/Wt0JERCRbHtog7SfR5MmTmTt3Lj169KBBgwb897//JTw8nFu3bgFw4MAB7OzsiIyM5Pr16+TNa/7tWLt2LePHj2fYsGF4eHjw+++/M378eP755x+z4BkREUHNmjWZMmUKv/32G1OmTOHixYtmY5nWr1/Piy++yLRp00hNTSUtLY1evXrx22+/0b9/fypVqsSqVavo168fMTEx+Pn5MXToUL7//nsGDRpEuXLl+OOPP4iIiGDgwIGsX78eOzs7hgwZwuXLlxkzZgwFCxZk9erVDBs2jKeeego/Pz+KFCnCr7/+SnJyMg4ODqZ6zp49S2JiIleuXMHV1dW63wixir/++svWJYiIWI3VA1JqaioxMTFs3bqVixcvkpaWlmEZOzs7vv32W2uX8lAlJCQQExNDcHAwQ4cOBaBBgwbExcVx8OBBSpQoQUpKCmPGjKF8+fKZbmPfvn2ULl2arl27Ym9vj6+vL05OTsTHx5st5+bmxsyZM8mbNy/+/v7Y29szduxYTpw4wbPPPguAvb09H3zwAU5OTgBs3bqVQ4cOMX36dJ5//nng9p2Gp0+fZu/evXh7e3P9+nXef/99WrVqBYCvry/Xr19n3Lhx/P3335QoUYL9+/cTGhrKCy+8AICfnx+urq7kyZMHgPbt27NmzRqGDRvGwIEDcXZ2ZtWqVezYsQOApKSkLAekNWvWsGbNmqx+C8RKkpOTAYiJiQHQGCQRyZWsHpCmTJlCdHQ0efPmpWjRoqYfnP9mGIa1y3jojhw5QnJyMs2aNTObPnz4cNPf+fPnNxuvZalu3bosWbKE9u3b07x5c5o0aUKbNm0yjOlq3bq12dWnFi1aMHbsWA4cOGAKSGXKlDGFI7h99crBwYGmTZuaptnZ2fH555+bPs+dOxeA2NhYTp8+ze+//853330H/O+HpJ+fH5GRkfz888/4+/vTuHFjhg0bZtpGgwYNmDBhAh9//DFr164FoF69erzxxhtERERQoECBezWlSWBgIIGBgRmmh4SEZHkb8uDSrwS+9tprxMTEmLp7RURyE6sHpLVr11KnTh1mzpxJwYIFrb27R8aVK1eA21d37qRo0aJ3HcDeqlUr0tLSWLx4MVFRUURERFC6dGkGDRpE69atTcuVKFEiw3bh9lWsdMWKFctQn6urK/b2d37Sw44dO/j444/5/fffKViwIB4eHqbvYXqoDQ8PZ+bMmaxfv54NGzZgb29P/fr1GT16tGncUdu2bQkMDOTMmTMUKFCAkiVLMnXqVOzt7XFxcbnj/uXRlpvuthQRsWT1d7HFxcXRtm3bJyocARQqVAi4ffz/duHCBfbu3Wu6AnMvgYGBLF68mH379jFlyhRcXV0ZMmQIFy9eNC2THsbSXbp0Cbh7OHNxceHKlSsZujx/+uknjh07xpkzZ+jbty9VqlRh06ZNHDp0iM8//9zsilP6doYMGcKWLVtYv349YWFhHDp0iDFjxgC3n4G0cuVK7O3tqVChAiVLlgTgv//9L1WqVMn0iqKIiIitWT0gPffcc5w+fdrau3nkeHp64uDgwObNm82mz58/n7fffjtLjz4YMGAA/fr1A24HkZYtWxIaGkpqaiqxsbGm5bZs2WK23saNG7Gzs7vrk8tr165NcnIy27ZtM00zDIN3332XGTNm8OOPP3Lz5k3eeOMNs27A9LFDhmHw559/4u/vz4YNGwCoWLEivXv3pn79+qYBvCdOnGDYsGH89ttvpm2cPHmSnTt3msYtiYiIPGqs3sU2YMAAQkND8fLyeqJ+ILq5udG9e3fmz5+Po6MjdevW5dixYyxcuJCwsDB+/fXXe26jbt26jBo1ivHjx9O4cWMSEhKIioqiQoUKVKlSxbTc0aNHGTx4MC+99BK//PILU6dO5T//+c9dH8LYpEkTvL29GTFiBG+//Tbly5fn66+/5tdff+X999/Hzc2NvHnzMmHCBHr27MmtW7dYvnw5W7duBW4/TdnDw4NSpUrx4Ycfcu3aNcqVK8ePP/7Itm3beOONNwDw9/enXLlyDB48mLfffpvr16/zySefUKZMGV599dUHa2SxCQcHB+zt7SlWrBj29vYagyQiuZLVA5K3tzc+Pj689dZbODo6ZjruJjfexQYwZMgQihUrxueff868efMoU6YM77zzDl26dDEN1r6bTp06kZyczBdffMHixYvJnz8/9erVY8iQIWa3zL/66qtcvHiRfv36UaRIEUJCQkwB5U7y5MlDdHQ0kyZNIjIykhs3blClShXmzJmDt7c3AJMmTSIqKoo333yTwoUL4+XlxWeffUZwcDAHDhzAw8ODqKgoJk+eTEREBPHx8Tz11FP069ePPn36AFCgQAHmzJnDxx9/zODBg8mXLx+NGzcmLCxMP1gfU05OTnz11VcULlzY9LeISG5jZ1j5FrKPP/6YBQsWkCdPHooWLZrhWT/pLLuJJGs8PDzMHiz5JAoJCcHd3Z3ExERbl/JEcHFxISwszNZliIiYCQkJYebMmTm2vYd2F1tkZKQeCCgiIiKPBasP0r5+/Tpt2rRROBIREZHHhtWvIFWpUuWJvIvtYfnll19sXYKIiEiuY/UrSP379+eLL75g48aNpKamWnt3IiIiIg/M6leQFixYQMGCBRkwYACOjo64urpmGKidW+9iExERkceT1QPSr7/+St68eXnqqadM0yxvnMuN72ITERGRx5fVA9K/b983DIP4+HgcHR31DBwRERF5ZFk9IAHEx8czYcIEvvnmG65fvw6As7MzLVq0YNCgQRQpUuRhlCEiIiKSJVYPSAkJCXTq1InTp09Tvnx5/Pz8SE1N5ffff+err75i3759rFixQleURERE5JFh9YA0Y8YMzpw5wwcffEDHjh3N5n311Ve8//77zJo1i0GDBlm7FMnFXFxcbF3CE0NtLSJPAqsHpE2bNvHSSy9lCEcAQUFBHDx4kG+++UYBSR5I7969bV2CiIjkIlZ/DtJff/2Fl5fXHefXrFmTCxcuWLsMERERkSyzekAqXLgw58+fv+P8c+fOafyRiIiIPFKsHpD8/PxYvHgxp06dyjDvt99+4/PPP8fX19faZYiIiIhkmdXHIPXt25ctW7bw8ssv89JLL1GpUiXs7Ow4ceIEq1evxs7OjtDQUGuXISIiIpJlVg9IlSpVYs6cObzzzjt8+eWXZvPKli3Lhx9+iLu7u7XLEBEREcmyh/KgyNq1a7Nx40aOHz/OmTNnMAyDcuXKUbVqVeztrd7LJyIiIpItDyUgwe0X0larVo1q1ao9rF2KiIiI3BddvhERERGxoIAkIiIiYkEBSURERMSCApKIiIiIhYc2SFvEmqKjo0lMTLR1GbmSi4uL3nUnIk8cBSTJFRITExWQREQkx6iLTURERMSCApKIiIiIBQUkEREREQsKSCIiIiIWFJBERERELCggiYiIiFhQQBIRERGxoIAkIiIiYkEBSURERMSCApKIiIiIBQWkx4BhGLYuQZ5gt27dMn199epVG1YiIvLwKCA94g4ePMgbb7xh6zLMDB8+nICAAFuXIQ9BUlISmzZt4vz585w/f56goCDOnz9v67JERKxOL6t9xC1dupSTJ0/augwzoaGhdO/e3dZlyEOQkpICwLVr1wBIS0szfS0ikpspIEm2lStXztYliIiIWJW62HJAQEAA4eHhjB07Fl9fX3x9fRkyZAjx8fHA7S6pV199lVGjRlG7dm3atWtHSkoKN2/eZNq0abz44ovUqFGD5s2bM3v2bNLS0kzrrVixgj///BMPDw+WL18OwM2bN/nkk0/w9/enevXqtGnThnXr1pnVlJqayqJFi2jTpg2enp40adKEiRMncvPmTdMyw4cP5/XXX+fLL7/khRdewNPTk06dOnHq1Cm+++472rRpQ82aNenYsSM//fST2Xr/7mIzDINFixbRunVrPD09adasGdHR0aaxU3FxcQwePJgGDRpQo0YNXnrpJVauXGmV74WIiEhO0BWkHLJ48WLKly/Pxx9/TFxcHJMmTeL3339n6dKlABw4cAA7OzsiIyO5fv06efLkoXfv3hw5coS+ffvy3HPPsW/fPqZMmcLZs2f54IMPCA0NJS4ujuPHjxMVFUW5cuUwDIO+ffty6NAh+vfvT6VKldi0aRMDBw7k1q1bvPzyywCMHDmSlStX0qtXL3x9fTl+/DjTpk3jp59+Ys6cOdjZ2QFw5MgRYmNjGT58OP/88w+jR4+mT58+2NnZ0b9/f+zt7fn4448ZPHgwa9euzfTYJ0+ezNy5c+nRowcNGjTgv//9L+Hh4dy6dYu+ffsyZMgQLl++zJgxYyhYsCCrV69m2LBhPPXUU/j5+T2U7488mDNnzti6BBGRh0oBKYfY2dkRExODi4sLAG5ubvTt25ft27cDt8dyjBkzhvLlywOwbds2du/ezYQJE2jbti0ADRo0IH/+/ERERPDqq69SuXJl3NzccHR0xMvLC4Bdu3axY8cOwsPDadWqFQCNGjUiKSmJiRMnEhgYyB9//MFXX33FgAEDePPNN03bLlGiBEOHDmX79u34+/sDt8eWTJkyhUqVKgGwf/9+lixZwqeffkq9evUA+Ouvvxg/fjwJCQkUKlTI7LgTEhKIiYkhODiYoUOHmvYVFxfHwYMHTdsMDQ3lhRdeAMDPzw9XV1fy5MmTrTZes2YNa9asydY68mDSxyCNHTvWNE1jkETkSaCAlEOaNm1qCkdwu9vNwcGBAwcOAJA/f36zsTv79+8nT548ppCTrm3btkRERLBv3z4qV66cYT979uzBzs4Of39/0w+v9P2tXr2aEydOcPjwYQDatGljtm7r1q0ZMWIE+/btMwWkwoULm8IRQPHixQFMgQzA1dUVINOAdOTIEZKTk2nWrJnZ9OHDh5u+9vPzIzIykp9//hl/f38aN27MsGHDMhzbvQQGBhIYGJhhekhISLa3JVmTN+/t/yJGjBgB3A5Kzs7OtixJROShUEDKISVKlDD7bG9vj6urKwkJCQAULVrU1K0Ft58nU6RIEdMPoHTpASUxMTHT/Vy5cgXDMKhVq1am82NjY03PqknfVrq8efNSpEgRs23f6YddgQIFMp2eWT1w+4rZnYSHhzNz5kzWr1/Phg0bsLe3p379+owePZqyZctmaT9iWxqYLyJPGgWkHJIeFNKlpqYSHx+Pm5sbf/31V4blCxcuTHx8PCkpKWYhKTY2FoAiRYpkuh8XFxecnJxYsGBBpvPLly/Pn3/+CcDff/9NmTJlTPOSk5OJj4+/47bvR/oVpbi4OCpWrGiafuHCBU6fPo2Pjw8uLi4MGTKEIUOG8Pvvv7N582amT5/OmDFjmDNnTo7VIiIiklN0F1sO2bFjh9kThzdv3kxKSoppHI8lX19fUlNTM9x9tnr1agB8fHyA21eiLNe7ceMGhmFQo0YN058TJ04wbdo0UlJS8PX1BeDrr782W3ft2rWkpqaatp0TPD09cXBwYPPmzWbT58+fz9tvv01sbCz+/v5s2LABgIoVK9K7d2/q16+faXAUERF5FOgKUg7566+/ePPNN+nevTsXLlxg8uTJNGzYED8/P1asWJFh+caNG+Pn58eoUaOIjY2latWq7N+/n+joaNq1a2caf1SoUCEuXbrEtm3beO655/D396dOnTqEhoYSGhpKpUqVOHr0KJGRkTRs2BA3Nzfc3Nxo164dUVFR/PPPP/j5+fHTTz8RFRWFn58fjRo1yrHjdnNzo3v37syfPx9HR0fq1q3LsWPHWLhwIWFhYZQuXZpSpUrx4Ycfcu3aNcqVK8ePP/7Itm3bHrknhEtG6Vc307ti7e3tNQZJRJ4ICkg5pHXr1hQqVIgBAwbg5OREu3btGDhw4B2Xt7OzY9asWUydOpUFCxYQFxdHmTJlGDhwIK+99pppufbt27Nt2zb69u1L//796dOnD7NnzyYiIoJZs2Zx+fJlSpYsSY8ePejbt69pvY8++ojy5cuzbNky5s6dS4kSJQgODqZv374Zrko9qCFDhlCsWDE+//xz5s2bR5kyZXjnnXfo0qULAFFRUUyePJmIiAji4+N56qmn6NevH3369MnROiTnFShQgGbNmvH0008D8NVXX1G4cGEbVyUiYn12ht6E+sACAgLw9fVl3Lhxti7liRQSEoK7u/sdB7bLg3FxcSEsLMzWZYiI3FVISAgzZ87Mse1pDJKIiIiIBQUkEREREQsag5QDtmzZYusSREREJAfpCpKIiIiIBQUkEREREQsKSCIiIiIWFJBERERELCggiYiIiFhQQBIRERGxoIAkIiIiYkHPQZJcwcXFxdYl5FpqWxF5EikgSa7Qu3dvW5cgIiK5iLrYRERERCwoIImIiIhYUEASERERsaCAJCIiImJBAUlERETEggKSiIiIiAUFJBERERELCkgiIiIiFhSQRERERCwoIImIiIhY0KtGJFeIjo4mMTHR1mU8klxcXPQqFhGRbFJAklwhMTFRAUlERHKMuthERERELCggiYiIiFhQQBIRERGxoIAkIiIiYkEBSURERMSCApKIiIiIBQUkEREREQsKSCIiIiIWFJBERERELCggiYiIiFjIdQHJMAxbl2AzT/Kxi4iI5KRcFZA2b97MsGHDbF3GA/Pw8CAyMjJb6yxdupTx48dbqSJz586dw8PDg+XLlz+U/UnOuHr1KlevXrV1GSIij4Vc9bLaTz/91NYl5IglS5ZQqlSpbK0zY8YMfH19rVSRuRIlSrBkyRLKlSv3UPYnD+78+fN0794dgAULFvD000/buCIRkUdbrgpIuYWXl5etS7grR0fHR75GMXft2jVTF+y1a9dsXI2IyKMv13SxBQcHs3//fvbv34+Hhwf79u3Dw8ODL774gqZNm1K/fn127twJ3O6Oat++PV5eXnh6evLSSy+xbt0607aWL19O1apV+eGHH3jllVeoUaMGTZo0ITo62myf69ato23btnh6elK3bl0GDx5MbGysab5hGCxatIjWrVvj6elJs2bNiI6ONv2gGj58OK+++iqjRo2idu3atGvXjpSUFLMutvTj2LlzJ127djVtZ+HChab9BAQE8Oeff7JixQo8PDw4d+4cAH/88Qf9+/enQYMGeHl5ERwczMGDB03rpXeVbdy4kdDQULy8vKhfvz7Tp0/n2rVrvPPOO/j4+FC/fn0mTJhgqjuzLrYzZ87Qv39/fH19qVOnDr179+bEiRNZbisREZFHSa4JSKNGjaJq1apUrVqVJUuWmH5LDg8PZ9iwYQwbNgwvLy8WLVrEyJEjef7555k1axYTJkzAwcGBIUOGcP78edP20tLSGDBgAK1atWL27Nn4+PgwceJEduzYAcDBgwcZPHgwzZs3Jzo6mhEjRrB3714GDRpk2sbkyZP56KOP8Pf3Z8aMGXTs2JHw8HCmT59uWubAgQOcPn2ayMhI+vbtS968mV/UGzhwIFWrVmXatGk0aNCADz74gM8++wyAqKgoihcvjr+/P0uWLKFEiRKcPHmS9u3bc/bsWd577z0mTpyInZ0dr776Kvv37zfb9rvvvou7uzszZsygbt26REREEBQURP78+YmIiCAgIIA5c+awYcOGTGuLjY2lY8eO/P7774waNYqJEydy9epVevToQVxcXJbaSkRE5FGSa7rYKleujLOzM3C7i2rfvn0AdOrUiRdffNG03NmzZ+nZsyd9+/Y1TStTpgzt27fn0KFDprEZhmEQGhpKx44dAfDx8WHTpk1s3bqVRo0acfDgQfLly0fv3r3Jly8fAK6urhw7dgzDMEhMTCQmJobg4GCGDh0KQIMGDUyBIV1KSgpjxoyhfPnydz2+F154gXfffReARo0aERsby4wZM+jatStVq1bF0dERNzc3U9dXVFQUDg4OLFiwABcXFwCaNGlCYGAgEyZMYOnSpaZtN2rUiAEDBpjace3atRQtWpSRI0ea6l6/fj2HDh2iZcuWGWqLiYnhn3/+ISYmhuLFiwPw3HPP8corr3DkyBFOnjx517ays7O767GnW7NmDWvWrMnSsmLu391q6mITEbm3XBOQ7sTDw8Ps8/DhwwFITEzkjz/+4I8//mDPnj0AJCcnmy3r7e1t+jo9gNy4cQOAOnXqEB4eTps2bWjZsiWNGzemYcOG+Pv7A3DkyBGSk5Np1qxZpvtPlz9//iwNdn7ppZfMPjdv3pzNmzdz6tQpKlWqlGH5/fv307RpU1M4AsibNy+tW7dm2rRpXL9+PdPjTA84NWvWNE2zs7OjcOHCJCYmZlrbwYMH8fLyMq0Ltwdyf/fddwAUKVLkrm2VVYGBgQQGBmaYHhISkq3tPInSf3mw/FpERDKXa7rY7qRo0aJmn8+cOUOPHj2oU6cOnTt3Jjo62hSMLJ8jlD9/frPP9vb2pmW8vb2ZPXs2ZcuWZe7cuXTp0gV/f3/mz58PwJUrVwBwc3O7Z31ZuYJSokSJTI8rISEh0+WvXr1KsWLFMkwvVqwYhmGYXUXI7AdmgQIF7llTuitXrmRo53+7V1uJiIg8anL9FaR/S0tLo0+fPjg4OPDll19StWpV8ubNy8mTJ1m9enW2t9eoUSMaNWpEUlISe/fuZcGCBXz88cd4eXlRqFAhAOLi4qhYsaJpnQsXLnD69Gl8fHyyta/0wJXu8uXLQMYAmK5w4cJcunQpw/S///4buH1VJ6cGSbu4uBAXF5dh+p49eyhTpgxly5a9a1v9+2qViIjIoyBXXUGyt7/74cTHx3Pq1CmCgoLw9PQ0DYjevn07cDtAZdX48eMJCgrCMAwKFChA06ZNTQ+pvHDhAp6enjg4OLB582az9ebPn8/bb7+d5XE36bZs2WL2ecOGDZQuXdrUPWd57HXq1OG7774z6xZLTU1l7dq11KhRA0dHx2zt/25q167NkSNHTKENbgfD3r17s3nz5nu2lYiIyKMmV11BKlSoEIcPH2bPnj2ZDkQtWrQopUuXZtGiRZQqVYpChQqxc+dOU1dPUlJSlvdVr149YmJiGD58OG3btiU5OZk5c+bg6upK3bp1cXV1pXv37syfPx9HR0fq1q3LsWPHWLhwIWFhYXe8W+1OPv30U/Lnz4+XlxfffPMN3333HZMmTTI79uPHj7N//348PT3p168f27dvp3v37vTp0wdHR0cWLlzI2bNnmTNnTrb2fS89evRg5cqVvP7664SEhJAvXz5mzZpFiRIlePnllzl69Ohd20qsz9nZ2RTKNQZJROTectUVpK5du+Lg4EDv3r35559/Ml1m+vTplCxZkuHDhzNgwACOHDnCjBkzqFixIgcOHMjyvho3bszEiRM5ceIE/fr1IywsjAIFCrBgwQJcXV0BGDJkCIMGDWLdunX06dOHFStW8M4779CzZ89sH9s777zDtm3bePPNN/nhhx+YOnWq2YDlnj17cunSJV5//XV+/PFHnn32WRYvXkyxYsV45513GDJkCIZhsGDBAurXr5/t/d/NU089xeLFiylVqhQjRoxg+PDhFC9enPnz5+Pq6pqlthLrevrpp1m2bBnLli3TU7RFRLLAztAbTh9p+/bto3v37ixYsAA/Pz9bl/NICgkJwd3d/Y532T3pXFxcCAsLs3UZIiJWFRISwsyZM3Nse7nqCpKIiIhITlBAEhEREbGQqwZp50Z+fn788ssvti5DRETkiaIrSCIiIiIWFJBERERELCggiYiIiFhQQBIRERGxoIAkIiIiYkEBSURERMSCApKIiIiIBT0HSXIFFxcXW5fwyFLbiIhknwKS5Aq9e/e2dQkiIpKLqItNRERExIICkoiIiIgFBSQRERERCwpIIiIiIhYUkEREREQsKCCJiIiIWFBAEhEREbGggCQiIiJiQQFJRERExIICkoiIiIgFvWpEcoXo6GgSExNtXQZw+91nevWJiMjjTQFJcoXExMRHJiCJiMjjT11sIiIiIhYUkEREREQsKCCJiIiIWFBAEhEREbGggCQiIiJiQQFJRERExIICkoiIiIgFBSQRERERCwpIIiIiIhYUkEREREQsKCA9YgzDsHUJZh61ekRERB4GBaRHyMmTJ+ncubPZNA8PDyIjIx9ou8uXL8fDw4Nz585leZ2EhASGDRvGgQMHTNOCg4MJDg5+oFqeJGfPnrV1CSIicp8UkB4h69ev5/Dhw7YuA4CffvqJlStXkpaWZpo2atQoRo0aZcOqHh9HjhyhR48eHDlyxNaliIjIfchr6wLk8VG5cmVbl/DYuHTpktnfIiLyeNEVpPsQEBBAVFQUY8eOxc/PD29vbwYNGsT169eZPXs2jRs3xsfHh7feeov4+HjTekuXLqV169ZUr16dJk2aEBkZSUpKCgCRkZFERUUBGbvVrl27xrvvvouvry/e3t7079+fy5cvA7Bo0SI8PDw4deqUWY1r166lSpUqd+xWW7p0Ke3bt8fLywtPT09eeukl1q1bB8C+ffvo3r07AN27dzd1q1l2sd28eZNp06bx4osvUqNGDZo3b87s2bPNrjoFBwfz7rvvMnv2bJo0aUKNGjXo1KkTP/zww/01voiIyEOggHSfYmJiOH/+POHh4YSEhLBmzRo6dOjArl27+OCDD3jrrbfYvHkzU6dOBWDWrFm8//771KtXj5kzZ9K1a1eio6MZOXIkAB07diQoKAiAJUuW0LFjR9O+FixYQHJyMhEREQwcOJAtW7YwZswYANq0aUO+fPlYtWqVWX0rVqzA19eXMmXKZKh90aJFjBw5kueff55Zs2YxYcIEHBwcGDJkCOfPn6datWqmukaOHJlpt5phGISEhDBnzhyCgoKYOXMmL774IlOmTMmw/MaNG9m8eTPvvfcekydP5tKlS/Tv35/U1NT7bX4RERGrUhfbfSpYsCDh4eHkzZuX+vXrs2LFCmJjY1m6dCkuLi74+/uzd+9eDh06RGJiIjNmzOCVV17hvffeA6Bhw4a4urry3nvv8dprr/Hss89SqlQpALy8vMz2VaNGDT755BMA6tWrx9GjR9m+fTsAhQoVolmzZqxevZq3334bOzs7YmNj2b17Nx9//HGmtZ89e5aePXvSt29f07QyZcrQvn17Dh06RGBgoKk7rXLlypl2rW3fvp3du3czYcIE2rZtC0CDBg3Inz8/ERERvPrqq6b1UlJSmDt3Ls7OzgBcv36dYcOG8dNPP1G9evX7an8RERFrUkC6T56enuTN+7/mK168OM7Ozri4uJimubq68uuvv3L48GGSkpIICAgwdanB7a46gF27dvHss8/ecV8+Pj5mn8uWLUtCQoLpc1BQEGvWrOHAgQPUqVOHVatWkT9/flq0aJHp9oYPHw5AYmIif/zxB3/88Qd79uwBIDk5OUvHv3//fvLkyUOrVq3Mprdt25aIiAj27dtnFrLSwxFAyZIlAUhKSsrSvtKtWbOGNWvWZGsdERGR+6GAdJ/+/QM/XYECBTJd9sqVKwD06dMn0/mxsbF33ZeTk5PZZ3t7e7PnE9WtW5cyZcqwcuVK6tSpw8qVK2nZsuUd6zlz5gwjR45k79695M2bl4oVK+Lh4QFk/blHV69epUiRImYhEW4HRbgdvtJZ1mFvf7tn999jlbIiMDCQwMDADNNDQkKytR0REZF7UUB6CAoVKgTAxIkTqVChQob5xYoVe6Dt29nZ0a5dOxYsWEDXrl05efIk//d//5fpsmlpafTp0wcHBwe+/PJLqlatSt68eTl58iSrV6/O8j4LFy5MfHw8KSkpZiEpPewVKVLkgY5JRETEljRI+yGoWbMmDg4OXLx4kRo1apj+ODg4MGnSJNOdZulXVu5Hhw4dSExMZOzYsVSoUCFDt1y6+Ph4Tp06RVBQkFk3YfqYpvSrOnny5Lnr/nx9fUlNTTXd+ZYuPWTdaf8iIiKPA11BegiKFClCr169iIiI4Nq1a/j5+XHx4kUiIiKws7OjSpUqwP+uNK1Zs4aaNWtStmzZLO/jqaeeon79+uzcuZOBAwfecbmiRYtSunRpFi1aRKlSpShUqBA7d+5k/vz5wP/GBaWPpdq6dSuFCxc21ZiucePG+Pn5MWrUKGJjY6latSr79+8nOjqadu3aPfHPTEq/KvigVwdFRMQ2dAXpIRkwYADDhw9n06ZN9O7dmwkTJuDj48PChQtNYaR58+bUqFGD4cOHM3fu3Gzvo2nTptjb2/Pyyy/fdbnp06dTsmRJhg8fzoABAzhy5AgzZsygYsWKpleLPPvsswQGBrJo0SIGDx6cYRt2dnbMmjWLTp06sWDBAvr06cOGDRsYOHAgH330UbZrz228vLz49NNPM9yRKCIijwc7Q28jzTV69+5Nnjx5mDlzpq1LeahCQkJwd3c3GxhuSy4uLoSFhdm6DBGRJ0pISEiO/vxTF1suMG3aNE6dOsX27dtZuHChrcsRERF57Ckg5QJbtmzh9OnTDBkyhDp16ti6HBERkceeAlIusGzZMluXICIikqtokLaIiIiIBQUkEREREQsKSCIiIiIWFJBERERELCggiYiIiFhQQBIRERGxoIAkIiIiYkHPQZJcIf19do+CR6kWERG5PwpIkiv07t3b1iWIiEguoi42EREREQsKSCIiIiIWFJBERERELCggiYiIiFhQQBIRERGxoLvY5LF3/PhxQkJCbF3GI+nixYuULFnS1mU8ktQ2d6f2uTO1zd3Zqn3Onj2bo9tTQJLHXtWqVZk5c6aty3gkhYSEqG3uQG1zd2qfO1Pb3F1uaR91sYmIiIhYUEASERERsaCAJCIiImJBAUlERETEggKSPPYCAwNtXcIjS21zZ2qbu1P73Jna5u5yS/vYGYZh2LoIERERkUeJriCJiIiIWFBAEhEREbGggCQiIiJiQQFJRERExIICkoiIiIgFBSQRERERCwpIIiIiIhYUkOSRsX37dtq3b0/NmjVp2rQps2bN4l6P6Vq1ahWtW7fG09OTFi1asHTp0gzLHD16lG7duuHt7U2DBg0YP348t27dstZhWI212qdBgwZ4eHhk+PP3339b61By3P20Tboff/yRatWqce7cuQzzcsO5Y622yQ3nDWS/fW7dusWsWbN48cUX8fLyokWLFkRFRWU4L57EcyerbfO4nDt5bV2ACMChQ4cIDQ2lZcuWDBgwgIMHDxIeHk5aWhpvvvlmpuusX7+eYcOG0b17dxo1asS3337Le++9R758+Wjbti0AZ86c4bXXXsPb25spU6bw22+/ER4eTmJiIh9++OHDPMQHYq32uXTpEpcuXWLEiBF4eXmZre/q6mrlo8oZ99M26X7++WfeeOMNUlJSMszLDeeOtdomN5w3cH/t8/HHH7Ny5UpCQ0OpUaMG//3vf4mKiuL8+fN8/PHHwJN77mSlbR6rc8cQeQT07NnT6NChg9m0Tz75xPDy8jKSkpIyXad58+ZG//79zaa9/fbbxgsvvGD6/P777xuNGjUybt68aZq2aNEio0qVKsa5c+dy8Aisy1rts23bNsPd3f2xagtL99M2N2/eNObOnWt4enoavr6+hru7u3H27FmzZXLDuWOttskN541hZL994uPjDQ8PDyM6OtpsenR0tOHu7m5cvnzZMIwn89zJats8TueOutjE5m7dusW+ffto3ry52fQWLVpw48YNDhw4kGGdc+fO8ccff2S6zpkzZzh16hQAO3fupEmTJjg6OpqWefHFF0lLS2Pnzp1WOJqcZ832+fnnnylUqBClS5e23gFY0f20DdzuOoiKiiIkJITBgwdnuszjfu5Ys20e9/MG7q99EhMT6dSpEwEBAWbTK1SoAMDZs2eBJ/PcyWrbPE7njgKS2NzZs2dJTk42/UNKV758eQD++OOPDOv89ttvAHdd559//uHPP//kmWeeMVvGzc0NZ2fnTLf7KLJW+wD89NNPFCpUiH79+uHj44O3tzcDBw4kNjY2R4/BWu6nbQBq1KjBli1bePPNN8mTJ0+G+bnh3LFW28Djf97A/bVP2bJlGT16NBUrVjSbvmnTJhwcHKhQocITe+5kpW3g8Tp3FJDE5hISEgBwdnY2m16wYEEArl27lmGdxMTEe65zp+2mL5fZdh9F1mofuP2f1cWLF6lRowazZs1i+PDh7N+/n+DgYG7cuJGzB2IF99M2ACVLlrzreIfccO5Yq23g8T9v4P7bx9LGjRtZtWoVXbp0oXDhwk/0uWPJsm3g8Tp3NEhbbC4tLQ0AOzu7TOfb22fM8Xdax/j/d1jY29vf9W4LwzDuuL9HjbXaB2Ds2LHky5ePqlWrAlC7dm0qV65Mly5dWLlyJV26dMmZg7CS+2mbrMgN54612gYe//MGcqZ9NmzYwODBg6lTp46pO1Lnzm2ZtQ08XueOApLYXKFChYCMv5Vcv34dyPw3sTutk/4biLOzMy4uLmbbsVwuff6jzlrtA+Dt7Z1hXR8fH1xcXPj5558fsHLru5+2yYrccO5Yq23g8T9v4MHbJyYmhk8++QRfX1+mT59uGm+kc+fObQOP17mjLjaxuXLlypEnTx5Onz5tNj39c+XKlTOsk96/f7d1nJycKFmyZIZl4uLiuHbtWqbbfRRZq30SEhL46quvOHnypNkyhmGQnJxMkSJFcuwYrOV+2iYrcsO5Y622yQ3nDdx/+xiGwQcffMC4ceNo0aIF0dHRpq4neLLPnXu1zeN27iggic3ly5eP2rVrs2nTJrPL0xs3bqRQoUJ4enpmWKd8+fKULVuWjRs3mk3fuHEjFSpUMN0h0aBBA7Zu3Wr2oLINGzaQJ08e6tata6UjylnWah8HBwfGjBnD7NmzzZbZvHkz//zzD35+ftY5oBx0P22TVY/7uWOttskN5w3cf/tMnjyZhQsX0qNHD8LDw82ujqR7Us+de7XNY3fuPOTHCohkavfu3YaHh4fx1ltvGVu3bjXCw8PNnqmRmJhoHD582PQsDcMwjGXLlhnu7u7GqFGjjG3bthmjRo0y3N3djbVr15qWOXnypFGjRg0jODjY2LJlizFv3jyjevXqxujRox/6MT4Ia7XPlClTDHd3d2PcuHHG7t27jZiYGKNWrVpGnz59Hvox3q/7aZt/S28ny2f95IZzx1ptkxvOG8PIfvscP37c8PDwMNq3b28cPnw4w5/ExETDMJ7McyerbfM4nTsKSPLI+Oabb4zAwECjWrVqRkBAgDF37lzTvL179xru7u7GsmXLzNb5/PPPjWbNmhnVq1c3WrZsaaxYsSLDdr///nujY8eORvXq1Y1GjRoZEydONJKTk619ODnOGu2TmppqLFy40GjdurVRo0YNo1GjRsb48ePv+BDBR9X9tE26O4UAw8gd54412ia3nDeGkb32Sf/hfqc/e/fuNa37pJ07WW2bx+ncsTOMLL6UR0REROQJoTFIIiIiIhYUkEREREQsKCCJiIiIWFBAEhEREbGggCQiIiJiQQFJRERExIICkoiIiIgFBSQRERERCwpIIiIiIhYUkEREREQsKCCJiIiIWFBAEhEREbGggCQiIiJiQQFJRAQIDg7Gw8PD1mU8kNjYWG7cuGHrMkRyBQUkEREgJCSETz75xNZl3LeVK1fSokUL4uLibF2KSK6Q19YFiIg8Cho0aGDrEh7I3r17dfVIJAfpCpKIiIiIBQUkERHMxyAtX74cDw8P9u7dy0cffUTDhg3x9PSkY8eOfP/99yQlJTFu3DgaNmyIt7c3Xbp04ejRo6ZtnTt3Dg8PD6ZPn86nn35KQEAAnp6etGnThi+//DLDvm/evMm0adN48cUXqV69Or6+voSEhHDkyBGz5SIjI/Hw8GDbtm20bNmS6tWr061bNwICAlixYgUAzz//PMHBwaZ1fvrpJ8LCwmjcuDHVq1enVq1adOrUiXXr1mU4/sDAQH7++Wd69+6Nj48P3t7e9OzZ0+zY0h07doy33nqLevXq4e3tzUsvvcSSJUswDMNsuR07dtC9e3dq1apFzZo1ad++PcuXL8/eN0fEBuwMy7NZROQJFBwczP79+/nll19Yvnw5I0aM4KmnnqJ48eK8/PLLXL58mTlz5uDo6EiVKlVISUmhdevWXLlyhTlz5lCwYEG++eYbnJ2dOXfuHM8//zylS5fm8uXLdOvWjRIlSrBmzRqOHj1KSEgIAwcOBCApKYlXX32VH374gRdeeIH69etz6dIllixZwtWrV5k4cSItW7YEbgekqKgonJycCAoKokKFCjg6OlKkSBFiYmI4cOAAI0aM4Nlnn6VBgwb88MMPdOvWjaeeeoqgoCCKFCnC2bNnWbJkCVeuXOHzzz+nVq1apuP/9ddfSU1Nxd/fnzp16nDu3Dk+/fRT8uXLx9atW3FxcQFuh54333wTZ2dnOnfuTIkSJdi0aRO7du0yO7ZFixbxwQcfUKNGDVq2bIm9vT2bN29m//79dO/enXfffdcG32mRLDJERMTo1q2b4e7ubhiGYSxbtsxwd3c32rRpY9y6dcu0zEcffWS4u7sbL730kpGSkmKaPmHCBMPd3d3YvXu3YRiGcfbsWcPd3d3w8PAwvv/+e9NyN2/eNIKCgoznnnvOOH36tGEYhhEVFWW4u7sbERERZvXExsYafn5+Ru3atY2EhATDMAxj6tSphru7u9G/f/8M9Q8bNsxwd3c3zp49a5rWt29fo3r16sbFixfNlt26davh7u5ufPDBBxmOf/bs2WbLTps2zXB3dzeWLFliGIZhpKWlGU2bNjV8fX2Nv/76y7Rcamqq0blzZ6N69epGfHy8ceHCBaNatWrGG2+8YaSlpZmWS0tLM4YMGWK4u7sbP/zwQ8ZvhMgjQl1sIiJ30KJFCxwcHEyfK1euDMCLL75Injx5TNPLly8PwMWLF83Wb9CgAbVr1zZ9dnR05LXXXiM1NZXNmzcDsGHDBpycnHjjjTfM1i1evDjdu3cnISGBHTt2mM0LCAjIUv1Tp05l69atlChRwjQtJSWFtLQ0AK5fv55hnbZt25p9rlGjBgB///03AMePH+fPP/+kbdu2lCxZ0rScvb09EyZMYNWqVTg7O/PNN9+QnJxMy5YtiY+PJy4ujri4OOLj42ndujUA33zzTZaOQ8QWdBebiMgdFC9e3Oxz3rx5M52eHpbSg0c6d3f3DNusWLEiAGfOnDH9Xb58efLly5dh2fT1z507d9e67sTe3p4rV64wb948Tp48yblz5zhz5gzJyckAGcYLZbZtR0dHs2NLr6VSpUoZ1i1durTp61OnTgEwdOjQO9b3559/Zuk4RGxBAUlE5A7SA5ElOzu7LK2fHi7+LTU1FfhfqDIM447bS1/Wcjv/vnp1N6tXr2bYsGEULVqUOnXq0KpVKzw8PChZsiRBQUGZrmNvf/eOhZSUFODebZBe+wcffECZMmUyXcbNze1ehyBiMwpIIiJWcvr06QzTfv/9dwCeeeYZAMqVK8eZM2e4efNmhqtIJ06cAODpp5/O9r5v3rzJqFGjKFeuHMuWLcPZ2dk07+DBg9neXrr0sJN+hejfdu3axcqVK+nVq5dpuUKFClG/fn2z5WJjYzl69Chly5a97zpErE1jkERErOTbb7/ljz/+MH2+desWc+fOxdHRkRdeeAG4Pc7pxo0bzJo1y2zdy5cvs3DhQgoWLEjDhg3vua/0Kz/p3Wb//PMPN27coEyZMmbhKCUlhXnz5pm+zq5q1apRqlQpvv76a7OndhuGwdy5c1m7di3FixenefPm2NvbM3PmTP755x+zbYwbN46+ffvy448/Znv/Ig+LriCJiFiJvb09nTp1olu3bjg7O7Ny5Up++ukn3nnnHdMA59dff53vvvuOadOm8euvv1KvXj3i4uJYsmQJCQkJfPLJJzg5Od1zX8WKFQNgzpw5NGrUiBdeeIE6deqwc+dORowYQa1atbhy5Qpff/01v//+O/b29iQmJmb7mPLmzcuYMWPo27cvL730Ep06daJIkSJ8++237Nq1i8GDB+Pm5oabmxtvvfUWERERvPTSS7Rr145ChQqxefNmdu7cSdOmTWnevHm29y/ysCggiYhYSatWrXj22WeZP38+CQkJVKlShWnTppmuHgE4OTmxcOFCZs+ezfr1603PG/Lx8aFXr154eXllaV+dO3dm//79LFu2jL179/LCCy8wZcoUJk2axM6dO1mzZg3FixenevXqfPLJJ4wePZoDBw6QlJREgQIFsnVcTZo0YdGiRUyfPp2YmBhSU1OpVKkSkydPNt2hBhAaGkrlypVZsGABs2fPJi0tjbJlyzJ06FCCg4OzPJZKxBb0oEgRkRyW/qDIdu3aMW7cOFuXIyL3QWOQRERERCwoIImIiIhYUEASERERsaAxSCIiIiIWdAVJRERExIICkoiIiIgFBSQRERERCwpIIiIiIhYUkEREREQsKCCJiIiIWFBAEhEREbGggCQiIiJiQQFJRERExIICkoiIiIgFBSQRERERCwpIIiIiIhYUkEREREQsKCCJiIiIWFBAEhEREbGggCQiIiJiQQFJRERExIICkoiIiIgFBSQRERERC/8PBPFL26oGzEQAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(\n",
    "    x=\"importance\",\n",
    "    y=\"omic_layer\",\n",
    "    data=global_feature_importance_df,\n",
    "    errwidth=0.5,\n",
    "    ci=95,\n",
    "    capsize=0.2,\n",
    "    order=global_feature_importance_omic_summary_df[\"omic_layer\"].tolist(),\n",
    "    # palette=OMIC_PALLETS\n",
    "    color=\"grey\",\n",
    ")\n",
    "plt.savefig(\n",
    "    f\"./reports/vae/drugresponse/{TIMESTAMP}_drugresponse_shap_omic_ranking.pdf\", bbox_inches=\"tight\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "phenpred",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.14"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}