{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "415ef5ba-6365-45dd-a773-2533147a5292",
   "metadata": {},
   "source": [
    "# Assign Other annotations\n",
    "\n",
    "To assemble our annotations, we'll read our Other cell data and assign our expert annotations to those clusters. We'll then inspect the annotations in our UMAP projections, and output final labels for these cells"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "495a9db1-a4d7-4e43-8ea6-ad084a053ead",
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.simplefilter(action='ignore', category=FutureWarning)\n",
    "warnings.simplefilter(action='ignore', category=RuntimeWarning)\n",
    "\n",
    "from datetime import date\n",
    "import hisepy\n",
    "import os\n",
    "import pandas as pd\n",
    "import scanpy as sc"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8598de84-b0ac-4aab-9c95-96212b047b0a",
   "metadata": {},
   "source": [
    "### Helper function\n",
    "\n",
    "This function makes it easy to pull csv files stored in HISE as a pandas data.frame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "d3d4e8b3-a84d-41d0-8c96-e2f5ffd8b49e",
   "metadata": {},
   "outputs": [],
   "source": [
    "def read_csv_uuid(csv_uuid):\n",
    "    csv_path = '/home/jupyter/cache/{u}'.format(u = csv_uuid)\n",
    "    if not os.path.isdir(csv_path):\n",
    "        hise_res = hisepy.reader.cache_files([csv_uuid])\n",
    "    csv_filename = os.listdir(csv_path)[0]\n",
    "    csv_file = '{p}/{f}'.format(p = csv_path, f = csv_filename)\n",
    "    df = pd.read_csv(csv_file, index_col = 0)\n",
    "    return df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dabe8bed-84ac-40fd-abc3-d14ab50976f1",
   "metadata": {},
   "source": [
    "## Read subclustering results from HISE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "1ac32f7d-7976-4047-a801-7aaa5411d531",
   "metadata": {},
   "outputs": [],
   "source": [
    "cell_class = 'other'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "07502d9a-52d4-43d9-aa0e-8fcdddf368c0",
   "metadata": {},
   "outputs": [],
   "source": [
    "h5ad_uuid = '1eb6ca8c-b8ed-4968-b515-c954497441dc'\n",
    "h5ad_path = '/home/jupyter/cache/{u}'.format(u = h5ad_uuid)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ff125aad-00e8-4023-89b9-d193b9bd641f",
   "metadata": {},
   "outputs": [],
   "source": [
    "if not os.path.isdir(h5ad_path):\n",
    "    hise_res = hisepy.reader.cache_files([h5ad_uuid])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "91498e93-dbf8-45ca-83b8-519ac3f2dcd1",
   "metadata": {},
   "outputs": [],
   "source": [
    "h5ad_filename = os.listdir(h5ad_path)[0]\n",
    "h5ad_file = '{p}/{f}'.format(p = h5ad_path, f = h5ad_filename)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "e034e17a-1fc9-437a-ba03-45bebad9f408",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "adata = sc.read_h5ad(h5ad_file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "d6f953b5-bc12-4c4b-85c1-25b65b7a2328",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AnnData object with n_obs × n_vars = 24603 × 4305\n",
       "    obs: 'barcodes', 'batch_id', 'cell_name', 'cell_uuid', 'chip_id', 'hto_barcode', 'hto_category', 'n_genes', 'n_mito_umis', 'n_reads', 'n_umis', 'original_barcodes', 'pbmc_sample_id', 'pool_id', 'well_id', 'sample.sampleKitGuid', 'cohort.cohortGuid', 'subject.subjectGuid', 'subject.biologicalSex', 'subject.race', 'subject.ethnicity', 'subject.birthYear', 'sample.visitName', 'sample.drawDate', 'file.id', 'subject.cmv', 'subject.bmi', 'celltypist.low', 'seurat.l1', 'seurat.l1.score', 'seurat.l2', 'seurat.l2.score', 'seurat.l2.5', 'seurat.l2.5.score', 'seurat.l3', 'seurat.l3.score', 'predicted_doublet', 'doublet_score', 'n_genes_by_counts', 'log1p_n_genes_by_counts', 'total_counts', 'log1p_total_counts', 'pct_counts_in_top_50_genes', 'pct_counts_in_top_100_genes', 'pct_counts_in_top_200_genes', 'pct_counts_in_top_500_genes', 'total_counts_mito', 'log1p_total_counts_mito', 'pct_counts_mito', 'leiden', 'leiden_resolution_1', 'leiden_resolution_1.5', 'leiden_resolution_2'\n",
       "    var: 'mito', 'n_cells_by_counts', 'mean_counts', 'log1p_mean_counts', 'pct_dropout_by_counts', 'total_counts', 'log1p_total_counts', 'highly_variable', 'means', 'dispersions', 'dispersions_norm', 'mean', 'std'\n",
       "    uns: 'celltypist.low_colors', 'hvg', 'leiden', 'leiden_colors', 'log1p', 'neighbors', 'pca', 'seurat.l2.5_colors', 'umap'\n",
       "    obsm: 'X_pca', 'X_pca_harmony', 'X_umap'\n",
       "    varm: 'PCs'\n",
       "    obsp: 'connectivities', 'distances'"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adata"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dbd08775-b6ee-407d-959f-eef3aecb0a2c",
   "metadata": {},
   "source": [
    "## Read annotations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "c4c31233-55ab-41c1-9331-341260bad17f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "downloading fileID: 03817547-e2e3-412b-b36e-538d2bc74c87\n",
      "Files have been successfully downloaded!\n"
     ]
    }
   ],
   "source": [
    "anno_uuid = '03817547-e2e3-412b-b36e-538d2bc74c87'\n",
    "anno = read_csv_uuid(anno_uuid)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "60fd9af0-cfcb-4c56-ba29-946b1bbaa57a",
   "metadata": {
    "scrolled": true
   },
   "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>leiden_resolution_1</th>\n",
       "      <th>AIFI_L3</th>\n",
       "      <th>AIFI_L1</th>\n",
       "      <th>AIFI_L1_Final</th>\n",
       "      <th>AIFI_L2</th>\n",
       "      <th>AIFI_L2_Final</th>\n",
       "      <th>AIFI_L3_Final</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>Platelet</td>\n",
       "      <td>Platelet</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Platelet</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>T+Erythocytes doublet</td>\n",
       "      <td>T+Erythocytes doublet</td>\n",
       "      <td>Yes</td>\n",
       "      <td>T+Erythocytes doublet</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>Platelet</td>\n",
       "      <td>Platelet</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Platelet</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>T+Erythocytes doublet</td>\n",
       "      <td>T+Erythocytes doublet</td>\n",
       "      <td>Yes</td>\n",
       "      <td>T+Erythocytes doublet</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>Monocytes+Erythocytes doublet</td>\n",
       "      <td>Monocytes+Erythocytes doublet</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Monocytes+Erythocytes doublet</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   leiden_resolution_1                        AIFI_L3  \\\n",
       "0                    0                       Platelet   \n",
       "1                    1          T+Erythocytes doublet   \n",
       "2                    2                       Platelet   \n",
       "3                    3          T+Erythocytes doublet   \n",
       "4                    4  Monocytes+Erythocytes doublet   \n",
       "\n",
       "                         AIFI_L1 AIFI_L1_Final                        AIFI_L2  \\\n",
       "0                       Platelet           Yes                       Platelet   \n",
       "1          T+Erythocytes doublet           Yes          T+Erythocytes doublet   \n",
       "2                       Platelet           Yes                       Platelet   \n",
       "3          T+Erythocytes doublet           Yes          T+Erythocytes doublet   \n",
       "4  Monocytes+Erythocytes doublet           Yes  Monocytes+Erythocytes doublet   \n",
       "\n",
       "  AIFI_L2_Final AIFI_L3_Final  \n",
       "0           Yes           Yes  \n",
       "1           Yes           Yes  \n",
       "2           Yes           Yes  \n",
       "3           Yes           Yes  \n",
       "4           Yes           Yes  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "anno.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "da072c4d-475e-428c-b146-df9208712d4d",
   "metadata": {},
   "outputs": [],
   "source": [
    "join_col = 'leiden_resolution_1'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "811533c2-2044-473b-823e-92cbbd173b12",
   "metadata": {},
   "outputs": [],
   "source": [
    "anno[join_col] = anno[join_col].astype('string').astype('category')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "c9613581-3498-4f82-8d26-b56f2f0e643b",
   "metadata": {},
   "outputs": [],
   "source": [
    "obs = adata.obs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "5225ce29-764d-4055-99c4-84eef6223fc5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "24603"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sum(obs[join_col].isin(anno[join_col]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "805749a2-ea49-4a7d-a102-d7d6ca9c7cf0",
   "metadata": {},
   "outputs": [],
   "source": [
    "obs_anno = obs.merge(anno, how = 'left', on = join_col)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "cb5014c8-4dca-44f6-84c9-8e56adf1885b",
   "metadata": {},
   "outputs": [],
   "source": [
    "adata.obs = obs_anno\n",
    "adata.obs = adata.obs.set_index('barcodes', drop = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "2221fba0-823f-4863-ade8-09ae0b3e3b19",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\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></th>\n",
       "      <th>barcodes</th>\n",
       "      <th>batch_id</th>\n",
       "      <th>cell_name</th>\n",
       "      <th>cell_uuid</th>\n",
       "      <th>chip_id</th>\n",
       "      <th>hto_barcode</th>\n",
       "      <th>hto_category</th>\n",
       "      <th>n_genes</th>\n",
       "      <th>n_mito_umis</th>\n",
       "      <th>n_reads</th>\n",
       "      <th>...</th>\n",
       "      <th>leiden</th>\n",
       "      <th>leiden_resolution_1</th>\n",
       "      <th>leiden_resolution_1.5</th>\n",
       "      <th>leiden_resolution_2</th>\n",
       "      <th>AIFI_L3</th>\n",
       "      <th>AIFI_L1</th>\n",
       "      <th>AIFI_L1_Final</th>\n",
       "      <th>AIFI_L2</th>\n",
       "      <th>AIFI_L2_Final</th>\n",
       "      <th>AIFI_L3_Final</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>barcodes</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>cf7341b848b611ea8957bafe6d70929e</th>\n",
       "      <td>cf7341b848b611ea8957bafe6d70929e</td>\n",
       "      <td>B001</td>\n",
       "      <td>chalky_guileless_waterdogs</td>\n",
       "      <td>cf7341b848b611ea8957bafe6d70929e</td>\n",
       "      <td>B001-P1C1</td>\n",
       "      <td>TGATGGCCTATTGGG</td>\n",
       "      <td>singlet</td>\n",
       "      <td>1482</td>\n",
       "      <td>176</td>\n",
       "      <td>17043</td>\n",
       "      <td>...</td>\n",
       "      <td>22</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>13</td>\n",
       "      <td>T+Erythocytes doublet</td>\n",
       "      <td>T+Erythocytes doublet</td>\n",
       "      <td>Yes</td>\n",
       "      <td>T+Erythocytes doublet</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cf7400bc48b611ea8957bafe6d70929e</th>\n",
       "      <td>cf7400bc48b611ea8957bafe6d70929e</td>\n",
       "      <td>B001</td>\n",
       "      <td>illadvised_cogitative_bluejay</td>\n",
       "      <td>cf7400bc48b611ea8957bafe6d70929e</td>\n",
       "      <td>B001-P1C1</td>\n",
       "      <td>TGATGGCCTATTGGG</td>\n",
       "      <td>singlet</td>\n",
       "      <td>1089</td>\n",
       "      <td>62</td>\n",
       "      <td>12523</td>\n",
       "      <td>...</td>\n",
       "      <td>22</td>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>14</td>\n",
       "      <td>Monocytes+Erythocytes doublet</td>\n",
       "      <td>Monocytes+Erythocytes doublet</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Monocytes+Erythocytes doublet</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cf763b8448b611ea8957bafe6d70929e</th>\n",
       "      <td>cf763b8448b611ea8957bafe6d70929e</td>\n",
       "      <td>B001</td>\n",
       "      <td>tricksome_sombrous_cats</td>\n",
       "      <td>cf763b8448b611ea8957bafe6d70929e</td>\n",
       "      <td>B001-P1C1</td>\n",
       "      <td>TGATGGCCTATTGGG</td>\n",
       "      <td>singlet</td>\n",
       "      <td>1146</td>\n",
       "      <td>89</td>\n",
       "      <td>11185</td>\n",
       "      <td>...</td>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>T+Erythocytes doublet</td>\n",
       "      <td>T+Erythocytes doublet</td>\n",
       "      <td>Yes</td>\n",
       "      <td>T+Erythocytes doublet</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cf76501a48b611ea8957bafe6d70929e</th>\n",
       "      <td>cf76501a48b611ea8957bafe6d70929e</td>\n",
       "      <td>B001</td>\n",
       "      <td>pensive_queasy_tadpole</td>\n",
       "      <td>cf76501a48b611ea8957bafe6d70929e</td>\n",
       "      <td>B001-P1C1</td>\n",
       "      <td>TGATGGCCTATTGGG</td>\n",
       "      <td>singlet</td>\n",
       "      <td>1994</td>\n",
       "      <td>108</td>\n",
       "      <td>22387</td>\n",
       "      <td>...</td>\n",
       "      <td>29</td>\n",
       "      <td>9</td>\n",
       "      <td>11</td>\n",
       "      <td>8</td>\n",
       "      <td>CMP cell</td>\n",
       "      <td>Progenitor cell</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Progenitor cell</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cf83c0ba48b611ea8957bafe6d70929e</th>\n",
       "      <td>cf83c0ba48b611ea8957bafe6d70929e</td>\n",
       "      <td>B001</td>\n",
       "      <td>sodalite_foreign_puffin</td>\n",
       "      <td>cf83c0ba48b611ea8957bafe6d70929e</td>\n",
       "      <td>B001-P1C1</td>\n",
       "      <td>TGATGGCCTATTGGG</td>\n",
       "      <td>singlet</td>\n",
       "      <td>841</td>\n",
       "      <td>44</td>\n",
       "      <td>7236</td>\n",
       "      <td>...</td>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>19</td>\n",
       "      <td>T+Erythocytes doublet</td>\n",
       "      <td>T+Erythocytes doublet</td>\n",
       "      <td>Yes</td>\n",
       "      <td>T+Erythocytes doublet</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 59 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                          barcodes batch_id  \\\n",
       "barcodes                                                                      \n",
       "cf7341b848b611ea8957bafe6d70929e  cf7341b848b611ea8957bafe6d70929e     B001   \n",
       "cf7400bc48b611ea8957bafe6d70929e  cf7400bc48b611ea8957bafe6d70929e     B001   \n",
       "cf763b8448b611ea8957bafe6d70929e  cf763b8448b611ea8957bafe6d70929e     B001   \n",
       "cf76501a48b611ea8957bafe6d70929e  cf76501a48b611ea8957bafe6d70929e     B001   \n",
       "cf83c0ba48b611ea8957bafe6d70929e  cf83c0ba48b611ea8957bafe6d70929e     B001   \n",
       "\n",
       "                                                      cell_name  \\\n",
       "barcodes                                                          \n",
       "cf7341b848b611ea8957bafe6d70929e     chalky_guileless_waterdogs   \n",
       "cf7400bc48b611ea8957bafe6d70929e  illadvised_cogitative_bluejay   \n",
       "cf763b8448b611ea8957bafe6d70929e        tricksome_sombrous_cats   \n",
       "cf76501a48b611ea8957bafe6d70929e         pensive_queasy_tadpole   \n",
       "cf83c0ba48b611ea8957bafe6d70929e        sodalite_foreign_puffin   \n",
       "\n",
       "                                                         cell_uuid    chip_id  \\\n",
       "barcodes                                                                        \n",
       "cf7341b848b611ea8957bafe6d70929e  cf7341b848b611ea8957bafe6d70929e  B001-P1C1   \n",
       "cf7400bc48b611ea8957bafe6d70929e  cf7400bc48b611ea8957bafe6d70929e  B001-P1C1   \n",
       "cf763b8448b611ea8957bafe6d70929e  cf763b8448b611ea8957bafe6d70929e  B001-P1C1   \n",
       "cf76501a48b611ea8957bafe6d70929e  cf76501a48b611ea8957bafe6d70929e  B001-P1C1   \n",
       "cf83c0ba48b611ea8957bafe6d70929e  cf83c0ba48b611ea8957bafe6d70929e  B001-P1C1   \n",
       "\n",
       "                                      hto_barcode hto_category  n_genes  \\\n",
       "barcodes                                                                  \n",
       "cf7341b848b611ea8957bafe6d70929e  TGATGGCCTATTGGG      singlet     1482   \n",
       "cf7400bc48b611ea8957bafe6d70929e  TGATGGCCTATTGGG      singlet     1089   \n",
       "cf763b8448b611ea8957bafe6d70929e  TGATGGCCTATTGGG      singlet     1146   \n",
       "cf76501a48b611ea8957bafe6d70929e  TGATGGCCTATTGGG      singlet     1994   \n",
       "cf83c0ba48b611ea8957bafe6d70929e  TGATGGCCTATTGGG      singlet      841   \n",
       "\n",
       "                                  n_mito_umis  n_reads  ...  leiden  \\\n",
       "barcodes                                                ...           \n",
       "cf7341b848b611ea8957bafe6d70929e          176    17043  ...      22   \n",
       "cf7400bc48b611ea8957bafe6d70929e           62    12523  ...      22   \n",
       "cf763b8448b611ea8957bafe6d70929e           89    11185  ...      21   \n",
       "cf76501a48b611ea8957bafe6d70929e          108    22387  ...      29   \n",
       "cf83c0ba48b611ea8957bafe6d70929e           44     7236  ...      21   \n",
       "\n",
       "                                 leiden_resolution_1 leiden_resolution_1.5  \\\n",
       "barcodes                                                                     \n",
       "cf7341b848b611ea8957bafe6d70929e                   3                     2   \n",
       "cf7400bc48b611ea8957bafe6d70929e                   4                    12   \n",
       "cf763b8448b611ea8957bafe6d70929e                   1                     1   \n",
       "cf76501a48b611ea8957bafe6d70929e                   9                    11   \n",
       "cf83c0ba48b611ea8957bafe6d70929e                   1                     1   \n",
       "\n",
       "                                 leiden_resolution_2  \\\n",
       "barcodes                                               \n",
       "cf7341b848b611ea8957bafe6d70929e                  13   \n",
       "cf7400bc48b611ea8957bafe6d70929e                  14   \n",
       "cf763b8448b611ea8957bafe6d70929e                   1   \n",
       "cf76501a48b611ea8957bafe6d70929e                   8   \n",
       "cf83c0ba48b611ea8957bafe6d70929e                  19   \n",
       "\n",
       "                                                        AIFI_L3  \\\n",
       "barcodes                                                          \n",
       "cf7341b848b611ea8957bafe6d70929e          T+Erythocytes doublet   \n",
       "cf7400bc48b611ea8957bafe6d70929e  Monocytes+Erythocytes doublet   \n",
       "cf763b8448b611ea8957bafe6d70929e          T+Erythocytes doublet   \n",
       "cf76501a48b611ea8957bafe6d70929e                       CMP cell   \n",
       "cf83c0ba48b611ea8957bafe6d70929e          T+Erythocytes doublet   \n",
       "\n",
       "                                                        AIFI_L1 AIFI_L1_Final  \\\n",
       "barcodes                                                                        \n",
       "cf7341b848b611ea8957bafe6d70929e          T+Erythocytes doublet           Yes   \n",
       "cf7400bc48b611ea8957bafe6d70929e  Monocytes+Erythocytes doublet           Yes   \n",
       "cf763b8448b611ea8957bafe6d70929e          T+Erythocytes doublet           Yes   \n",
       "cf76501a48b611ea8957bafe6d70929e                Progenitor cell           Yes   \n",
       "cf83c0ba48b611ea8957bafe6d70929e          T+Erythocytes doublet           Yes   \n",
       "\n",
       "                                                        AIFI_L2 AIFI_L2_Final  \\\n",
       "barcodes                                                                        \n",
       "cf7341b848b611ea8957bafe6d70929e          T+Erythocytes doublet           Yes   \n",
       "cf7400bc48b611ea8957bafe6d70929e  Monocytes+Erythocytes doublet           Yes   \n",
       "cf763b8448b611ea8957bafe6d70929e          T+Erythocytes doublet           Yes   \n",
       "cf76501a48b611ea8957bafe6d70929e                Progenitor cell           Yes   \n",
       "cf83c0ba48b611ea8957bafe6d70929e          T+Erythocytes doublet           Yes   \n",
       "\n",
       "                                 AIFI_L3_Final  \n",
       "barcodes                                        \n",
       "cf7341b848b611ea8957bafe6d70929e           Yes  \n",
       "cf7400bc48b611ea8957bafe6d70929e           Yes  \n",
       "cf763b8448b611ea8957bafe6d70929e           Yes  \n",
       "cf76501a48b611ea8957bafe6d70929e           Yes  \n",
       "cf83c0ba48b611ea8957bafe6d70929e           Yes  \n",
       "\n",
       "[5 rows x 59 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adata.obs.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "5457f225-3f2d-4c12-b0a3-5bddce229425",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.10/site-packages/scanpy/plotting/_tools/scatterplots.py:394: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored\n",
      "  cax = scatter(\n",
      "/opt/conda/lib/python3.10/site-packages/scanpy/plotting/_tools/scatterplots.py:394: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored\n",
      "  cax = scatter(\n",
      "/opt/conda/lib/python3.10/site-packages/scanpy/plotting/_tools/scatterplots.py:394: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored\n",
      "  cax = scatter(\n"
     ]
    },
    {
     "data": {
      "image/png": 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vMtibns+oR3ozf9pGfF6Fz6MoL3GjaYqf52TgdfsIi7YE0mwX5TkpLc5DeSFreyEA+dml1eo2WfW4nd6gRAs6g8au3/MC2wajHle5l+adI9j3e0HgBbLHStPAEubPyme0GohtaSR3t4OyYjdGi56uAxNZ992eOuuoaWSppLAco0WH8oHH6UPT/EGchsbIUlO1+EvTwQ1P9MUeYz2u/gshhBBCiBMnI02iQSilmPXCWv5Ymc3aBZlsXb2fXhe3pLzETbu+ceTsLsIUosfnVXjd4PX6UAq+e+d3rGHGwIiNp4aXvh7JVeatlpnO51F4yg+HHO5yLwaLjuyt/uDLbKs7cUTrXtGERZkD25peC2Tly9tbQt6+wyNT7nIvIVFmdMajdrUaj1PhLvPhq7gApfzBWW1sdhOW0BNoSAghhBBCnDBZ0yTqjSPfSfov2ezLyGfv5nxSusWw7498fEoREmYivnU429YcIDzWSmFuOXqT5h9Vqgx4NGjRIZLC3DJK8suP7QW1tUyHq0tdL42tymTxj06dqBC7idIiF0azjpado8hYdzDoeNX3NlWOMFVK6hLBnk0FQeW7DEpkwOj26HR15EUXQogzhDwrCCGaEgmaRL3wuL2smL2d35dmBbLaAXQZnMiWn7MxmQ2UFflT0+mNOrzuowctx+UEgqea6I06vB4fKH/6cd9JvCM3MtGKXqfj4N6Sasc0nT/zntenwOdvK7V3HDk7iyg4UIYpVIfL4b9HmgEuGteJtr1kHZMQ4uwhzwpCiKZE1jSJ47Z81nasdiMtO0Yx+5/r6Dq4Oeu+3V1jRrhNi7MIjTLjOOQM7KsrYDqyDk1XMQJztIDoGAKmqiM7VZlselwl/ka9Pl+grqr9SOoUSavusaz8cgfO0mOLpKpmyzuSPdpCSYETDdAZweuG3ZvyKHf4664MmACuurcXiW0ijqlNIYQQQghR/yRoEjU7sBnQyMkPYfO6cjqcF098a38Gu98W76VFh0i6DGhO656xpK/cD9SQ6KBi9MdgOvrSuWYpYbid3qBEDzo92MLNlBS6gkavAsd14POBwQyewzEZtggTJQWuw90wgPLAlXf3IH3lfjJ+zcVd7kVn0AiLtlKw/3CbFquBsGgreXuLg6YH7tmcz57N+aADk9WAq+z4h6CqjlwV5pZjthnwlHjwVsRH5Q4PeqMOk1WPs8TNtQ+fQ3RiGHqDLD0UQgghhGhMEjSJ6oqyYFo/sMViSriS3VuuZcvPWUQ2s5GX7QAfRMaHMPvFdZQ5nJQW1PJG2Io4p2D/4RGXwTe1Z838nXicXjxuH56KLHY5mcXVgitziIHQGCvFh5zEtwljf0Zx0DQ8X8U/PU6whhkoK/ZHJCUFLkwhOjSloTfrKa0IoL55cxM+rw+300d8qh2dpnH+tW35+vUNlBX7r6Hc4eG8KxJw5EezdkEmSh0OzvyNUnPAdMT0wJqm9pksBpylHpQP7DFmYpLC2PGrf52TpvOv57rsr90pzC1jx/pcmrUMr/m+CiGEEEKIU0rWNAm/4v3w8Q1wyYvQ4hzUb1/gKPLwx4G2dBzSgUXvbWFfen5gepvJqsdd7qWhvz16g4bPq9D0h4MQU4geV2ndCRoqkz2ERZspznNW1AVeL4THWDBajeTtLWb4bV1Y8nF6YL0VCiw2A0aLgZZdogiLsLB19QEOZZXQ9rxmZG7Iw13uBXU4eYNOr9HpggQ8bh8Go45NS7OAml92GxJhxB5tJSzKwrbV/pfi6vRw/rVt6X5hUn3fPiGEOG3Js4IQoimReT8Csjf4hzpytsD6D3CVe3hzWijfzypm7Y8FvPf4CrK2FaBp/qxtOoPmT/N9CsJtr0ehVPCoTU0Bk97o75tW8Y32uHxYw4zEJh1+Ea7XA9ZQI6nnxlFW5OTCWzqw7JOt/vVCFdeiN2n0uCiJ0iInkfEhrJ6fSWFuGXGt7GSszuWisZ3QGzQS20Wg6TXMFWnTM37NJf2X/ZQUlgfaC0xXrHKfSgvc7M8o4lBWCZre39/LJvWQgEkIIYQQogmTkaazXe5WeP1cuGUuxLYHSzg+nZkFb25E53OSnw/52SWERlnQ6zUKc8rQGU4++92RKbZNVh2usprrPDKBgzXUgLPME1hzZLbp0XQ6yosPTxMMizHjyHPSplczmqWEsmlJFkpBaZErqO8mqwGDUYfeqMNRUI7yQkSclYIDZYRFmWmWYifEbmbLiiwi420c3FtMVHMbrlIPxXlOrHYjHpd/hOmGJ/vy7gM/YTTrcB/l/VI6g0ZIuInL/9qDqETb8d9AIYQ4w8mzghCiKZGgScDeNaj4nni8itkvruPcka0oLXaxZGY6mt7/viKzzUhJvhOvW2Ew647ppbNHo9NXrBWq5Ruo02s1JoCoS2WAFRppwpHvQm/Q8HpqSCKh19DptcD7mhLbRlBS6KQw5/D6K4NJh96g4Xb68HnV4fc7Vb4mqXLKnd1IaZGb6OY28g+UoFFzmyarnpRuMRzKKuHgXgdxKXYG3dCe2JZh1coKIcTZTp4VhBBNiSSCOMstn7UNW0QcBUu3kbfPQctO0ZisBr57Z1MgMYOzxIuzxIvZZsDr9pxUwKQ3gk6nqwhEqqcYr6qugCkq0YrHrSjKLa/xHU2OfBd6I3jd/gOaBpYwY2DtkvIpPFXqz9pWQFSLkKD06B6XD8/hJHwYzQaUcuPzqqCRr9KKOgtySiumEQZ3RtNBl0HNKSt207l/Ih63j5gWYYTYTbXfKCGEEEII0WRI0HSm2bsWPhwFib3gps8Du30+hdftw2jWB/Zt+GEPG3/Yg88LVrsRk0XPzo0H+fX73RjNOswheorzXOiNGl63wlly7Gm2NT3oDXoSUu3s+T0/sN/rBi+HI47aAqY669YgPN7GznUHKyo5nPhBb9Ch6cBd7sNoMeJ1u7E3M1OU4zyc7AFqXI91aG9p9Z06qOxuWbGr+vEqlFKk9o6lOM/JgZ1Fh/f74Lcf9wHQvm88KV1jjut6hRBCCCFE45Kg6UwTEgktzoVufwravfyzbWxensXQMZ1olhLGsk+2kfnbQaITbeTtK8HldPuDCs2fLMHt9lCcV/HCV/fxz+BUXvB4vUEBU0QzK8WHyvyJHU4gWArUrSB7W0HQvsppdh6XL5AMorzYjaaDohwndakMCmtUw6BaSLgJS6h/uqLb6cXnU4SEmxj92Ll4XD6+fPVXwuOsFB0sCwSFZpueoWM7kdwl+nguVQghhBBCNAGSPe905/PCP1Nh/Yf+bXtz+PMn0OXqoGL5+0vwuHzsWJ/DpqX72LXpICgIj7X61/1UxhUKnOUefG7/u4bqheYPTApyyvB6QG88ia9dxXqi8uLgUS+tSpXKB50HJKA36QLT6HR6DU1PjSoDJp1BQ9NqLlO1/dJCFx6XF2eph5Zdo9BpGpfd2Z2lH2+jrMhFaZGLkFATJrOB1j1iaNcnjvH/HEirrrGBDIRCCCGEEOL0IUHT6U6nh4EP+d/wum0hTE2C4gOAP1BylXvI2paPyWrAZNWTs6uYotwyDEY9l97RlcLcMkIigtfW+NwKn1dVeznrkWJbhQTv0KB1z+igAAYAFTxa5S4/iSQStQwIBdYYVcQkW1Zk43UdbsfnVcS1rHshsa8ivXltYlvasMdYANBVBD+Z6/O4eEJnNi3bR+7uIpZ+uo025zQjO6MQo0XP3vR8Mtbl4Cw99qmNQgghhBCiaZHpeWeC6FT44GrofB2ExbN3nwFnWQ6LZmwmNNJCVIKNfVsLcDu96PRuMn7NBeUPJPL2ldQ6AgPV031XlbvziDVACnb8mnfCl6HTH/u0vUAmuyNVBD3KBzFJoXjdPvL3l6JpUF7qJjLBSn52WfXzjsHgP3fks+fWgAaRiTZMNgOWECNej4/NP2WBgqK8cg5lOwACCSUuntAZS6jxhNoUQgghhBCNT4Km09WB32HpP/1RhtsfBHh2/oTmLuHLf21A0zSMZj0FB0oxWQy4yz0oH5Q7Do94LPs0Hag9GUNdAdOJ0hkOv6jWFmmiJP9wcgVfHW1FNbdxaF9JYDs0ykzB/rLA+550Rg1fldEshf+dTCarHp0BQuxmCnLKgkaqWnSM4OBuB+U1JLjoeEE8Kd1i+PbtTUTEhRAaYeHQgdJAunVHvpP87BJCwkys/GoHZqseZ6mXq+/rydzXNhDV3EZkfAipveJIPafZCd8vIYQQQgjR+CRoOp3kboUtX0HrIfDpjf5gyV1OcepNWLCiSovJ9XXwBwY6hdvlQafX0efyFL56bWNQJjiAkgJ3bS0BJxgw1ZD+u6qqU/6qBkz+Bms/ryC7hJ7DW/L7sn24Sr0U7PcHipEJIRQcKAsKmDTNX5U11EheRaBVOepT1d4tBTW2ZbLoSe4Sw8HdDnxecJV58dp8FB8sI6Z5GAcyCzFb9aAUl9/Tg2/f2kRYlJURt3XBEmrk5r/3w2IzntzaLSGEEEII0WTIy21PB5kr4P2rwVte/Vh0W3bnRPFN7t1c0/wFPAnn8tWmy/E4vej0h1+yWjki0xhqG7EyhehxlR59Pp7epAtan2SPtVBaWE5UYhgxzUPZvDy7oiDgBVOIDoPRQLnD/04lzQDqGJcU6fT+USlHvpP41nbKS9yE2E1Yw8yUO1y07hXL8s+2BaYRdhmYyOYV2fg8ihG3d6FNDxlVEkKI+iDPCkKIpkT+FN4Uuctg1f/g7/EwJRymXxIUMHlULPudr+P2NYe8bWjeMnw6E3ML/s4G3xhiW4aiFHirvLy1sQKmI9uumiTC4zy2BUxelw99xZIgvVEjpWs0HhcUHSwjZ3fx4bor4iqPS1Fa5MLezJ+0QXkgLMZS7due2D48aDu2ZSgpPWJw5DsxWvUkto1k0J87cGBnERnrcjiUXULmxjwSUiPoeEECOoM/4YSvIjD1nsRLf4UQQgghRNMl0/OakqL98O9e4C6ps5iOUsy6Teg6DGLBqkT2OLsRo9tGTkl7TFY9eVkV097qIVDSGw6PVp2wKqdXHXGqHK0JCTeS3DWGzPUHKXPUPGXQ6/YHXF63YuMP/hfFljs8lDsc6A0aisPZ/nweRUi4kYIqCR9Ki1xBUxPDY60c2udPZGEw67DHWMjd7SB3tz+JQ/u+8cQkhfLNmxtB02iWEorRYqDc4cJZ6qE4r5zE1Ej2/pGPTq/R6YJE2vWNP7n7JIQQQgghmiQJmhqbsxTeHgoHt3CsUY5OV0Zkq3WoHRvw+SbhUjZCDIXg1diz5RCOQ66jV3KMTjpgqkPlqFNEnBXHwXJa9Yxh87LsWsvXNMVPb9awWI2Ul7gBhd6soTxgshrxeRStesTwx4r96A0asUl29mcUAVCYezigik60odPpMJg0PG5FRJyVzT9lsWnxvkCZnMxizrkkGY/bx4aFe0jqFMkVk3tSfKic0iIn4TEhR3ZNCCGEEEKcISRoakxvDoLs9bUc1IE5FJxFENEaetwA+zdA9m9QuAtP1u/ofS48+jCiTXvZ72wHUK8BU33T6TV8VacMVgRBWVv9gYxuK2j62rP5HckeY0Fv1JGfXUqrbtHs+eMQ4J+W2PPilnQ6P5G1CzKxhBkpK3JTUugitmUorjJvUNBUXuLGke8MvEtKKYXyVQ8WNyzcg8Hsz8++Z0s+Pq+PsCgLYVGW474XQgghhBDi9CFBU2PSVdx+kx1M4eDKhwvuhpi20Plq+HA0bF0ABTugeB+UF0FoDN42Q1m8LJqE0N3sKetGpwGJ5O93kL2tCHushaLcGhJGNNQl6OpOFV7JbDOQ0jWa9F/8L96NiLcGMuBV8vnAaNFwe1VQavLapHSLIf0X/8jUzo15/pGrilhn89J9xLeys3bBLtwVa6eKD5ZTDBgtuqDkFG6nN+jlu4UHjrh/GkQnhtKqewzxbcLZvSmPdn3j0ellSaAQQgghxNlAsuc1dV4P/PQy/PgPMIX6sxrcPAdv8z4U5pSRvb2A1fMzKcmvnlK7sekMGjq9hueIBAmaBi06RrJnc361czQdaDqNmBY2cjIdtdYd0zKUguxSvF4fyudPEGG0GCgvPrwmSm/Q0HQatggThTmHAyGdQcPnUYTHWSk8UBZIk96yUyQHdhXhLKk+1DX4pvYUHyynzxWt0em0E7gbQgghjoc8KwghmhL5U3lTpzdA34nQbjgMehAe2cNBXWdWzd1JVIKNzgOao9VHxofjpOmPXsbnUdUCJoDo5rZqAVNEZaY7H3S/MKlawKQd8U09uNuB1+vD3szq36HAbDFgMOkw2wzEtbET3yYcj8vnD5gqz9f8/UpsG06PIUkAmKz+izGY9f6AqWpbGljDjNjCTWT8movXIxnyhBBCCCHONjI973RgCYc/fxLYLDpYwN4/DuHztUYpRVi0BceRL4ptYEHrjo7yQluDWRcUPB3cW5EdsMrLdguqjAT9+v3u6u3VFKvooCjHP8WvVY9Y9qXnEx5rJW9fCQcyigKzH/0VHP6n0azDWeZl1fydtOkdS8aaXAAcBRWjdT5/n802A6MeOpcQuwlNp5HSNbb2ixRCCCGEEGcsGWk6DbXuEcuoR89Fp9OY89KvZG8v4pxLkmle+d6hU/BbtUWaD28cETAZTMHT12oabQLQ17Ym6BgHzpTncDC1fU0OZcVuCg+WodP726+6JiqimZX4Nv7pHW6nD4/LS8vO0WSuP0j78+MwhxiIirf5C+v8fR5yYwdsEWY0mY4nhBBCCHFWk5Gm09y5l6Xw8+zt7Pkjn/bnxpG3t4SWnaI4sKuYooNlpJ7TjG2rc+q3UY0611B5XMcW9Xjd9T/VzeP2Bb2PqZKz1B9BWcOMJHeNxmQ1kNQ+iohYKz2HJ6O/xR/A9bmiFeXFHiyhRsmKJ4QQQgghAAmaTnstO0VjsRmZ+9p6fluylwtv6UhEXAh6gw5nqYewaAthkRZ+W7YXd9lJBimV0/COYwmVpkFQqpHKOir+aYs0UVLH1MLKFORVs90F6IGKaYKWUAPlDk9wwKSDkFAjpcVuhtzYnqJDTrpfmBRURUq3mKDtsEgrYZHHfn1CCCGEEOLMJ9nzziLpq/az8N3NAGh6DeVt2F99dIsQSgvdlDkqMtpVNGe1G+h9aSuWfbwNW4R/vVBpkQtfxYt0NT2ERlpw5JVjshmwWA00axXOtlX+dOUhkUaUB8oqMuXpdBqR8VZMViPZGYWB9jsNSMQSYqT70CRC7KYGvVYhhBD1S54VhBBNiYw0nUXa94nnt8V7KS9203VoC9Z/u5vyEjce1+HhmRpHdI6mlkQQeXtL0Ru1wLHwZmaKDjopK/Lwy5wdGC0aPh/Ywox43L5AunCrzUjxQX9iCKfDgzXUxMXjOlNSUE55iRt3mReX10ur7jG06h7Lkg/TcRS6uPCKNih2c8Xk7hhMejTt8FqkcocbS6jxOC9MCCGEEEIICZrOOpdM7IreoMNiM9J9sH+q2tJPtqLTwaH9pTgOldN1UAvWfJNJaaHrqEGUpoc2PZqxfW3N66YMRj0+rwflA0e+mzY9m3EouwS304uz1E1ZsYuyIhchESZsESbsMVZskWYyNx4MJJBwl/vn4DlLPLjLfbTrE0/78+L58KmV9Lw4mSvu7gFAYtsIWveonuFu25oDLEzbzK0v9Mdik8BJCCGEEEIcHwmazjK2cHO1fQNHtwPg5y8yyM8qoevgFmxashev28eElwfi9fqY/cIacnY5MFn06E06yorc/oDKC9k7CjCYdYRFWnAUlOMuPxxlKZ8KBF1Dx3Sgbe948rIcbFmeXfHS2VIsoSZ/IFXupTC3jNzdRXgrpupFxFtJbBMBwOCbOqA36IhNCgNg/D8HHNPoUcvO0Vw8vrMETEIIIYQQ4oTImiYRUO5wU1LoJLp5KCvnZlDmcJO1tYBzL2tFSJiJ+W9s5JoHziG6eSherz9t93fv/M6eLYcwWQx0vCCRtr1jOZRdQsbaXMw2Azs35NGqewx9r2hdZza6fen5FOaVseu3PM67qg1hUWZKClyEhJswmo7hTbpCCCHOKPKsIIRoSiRoEnVaMz+TVt1jiG4eWmuZ8hI3mgbmEBnJEUIIUT/kWUEI0ZTI9DxRp96Xphy1jEx7E0IIIYQQZzJdY3dACCGEEEIIIZoyCZqEEEIIIYQQog4SNAkhhBBCCCFEHSRoEkIIIYQQQog6SNAkhBBCCCGEEHWQoEkIIYQQQggh6iBBkxBCCCGEEELUQYImIYQQQgghhKiDBE1CCCGEEEIIUQcJmoQQQgghhBCiDhI0CSGEEEIIIUQdJGgSQgghhBBCiDpI0CSEEEIIIYQQdZCgSQghhBBCCCHqIEGTEEIIIYQQQtRBgiYhhBBCCCGEqIMETUIIIYQQQghRBwmahBBCCCGEEKIOEjQJIYQQQgghRB0kaBJCCCGEEEKIOhgauwNCCCFEYyl3FFNWXMzWX36i/fkDCY9txs4NayktKCBrezo6TcMWEUW3YSOwRUQ2dneFEEI0EgmahBBCnHVKCvL5391/wV1eFtj308fvYQ4Nw11ejs/jDiq/edmPjP/XW6e6m0IIIZoImZ4nhBDirHJo317ef/juoICpktNRjM/jJrVPP0yhYYH9RQdzKDqYcyq7KYQQogmRkSYhhBBnjQ//7wGyt/1x1HLbV/0ctO3zePjp4/dpc05f2vfr31DdE0II0UTJSJMQQoizwtt3jQ8KmHQm01HPsYZHBH7e8tNi9qVvboiuCSGEaOIkaBJCCHFGKzqYy7v3TKQo50DQfp/L5f9Bp692jtVuJyI+kbZ9Lji8UylKCgsasKdCNH2LFy9G0zQKCgoauyuNYuzYsVx11VX1WueUKVPo0aPHKW9XHB8JmoQQQpyx3M5ylnzwP/Kz9wUf0LTDP/u81c4rKyqiYH8W6b8sC+zT6fWMnHR/Q3VVnAXGjh2LpmmBT3R0NCNGjGDjxo0nXOf06dOD6qz8WCyWk+7v4MGDueeee066nvqWmZmJpmmsX7++sbvSZJ3twW1DkKBJCCHEGWv6A3dyIHMnIRXpwi2hdv8BpQCIiE+sdk5UUjIAmk6Hs7gosP+vaR+j01cflRKnL69P8XNGHl+u38fPGXl4farB2xwxYgTZ2dlkZ2ezaNEiDAYDl112Wa3lKwOEutjt9kCdlZ9du3bVWt5VOcoqhDhmEjQJIYQ4I7nKyynKyaEwex+lBfkAOEsdQWUKcvaDpmGo8lf5coc/UFI+X1DZH9PebuAei1NpwaZs+j//Aze8/Qt3f7yeG97+hf7P/8CCTdkN2q7ZbCY+Pp74+Hh69OjBI488wp49e8jNzT3hOjVNC9RZ+YmLiwscHzx4MJMmTeKee+4hJiaG4cOHM27cuGrBmtvtplmzZvzvf/9j7NixLFmyhH/961+B0avMzMxA2bVr19K7d29CQkI4//zzSU9PD6pr2rRptGnTBpPJRPv27Xn//feDjhcUFDBx4kTi4uKwWCx06dKFefPmUVJSgt1u5/PPPw8qP2fOHGw2G8XFxbRq1QqAnj17omkagwcPDpR755136NixIxaLhQ4dOvDf//43cMzlcjFp0iQSEhKwWCwkJyczderUWu+r1+vlvvvuIyIigujoaB566CGUCg6snU4nkydPplmzZlgsFvr378/q1asDx6dPn05ERES1a6kpEH7zzTdJSkoiJCSE66+/nsLCwlr75vP5mDp1Kq1atcJqtdK9e/fAPcvMzGTIkCEAREZGomkaY8eOrbUucWwkaBJCCHFGWvfN3Gr7jgyE8PlAKTzl5QC07NoTnU5PdIukoGLnXHYNA24c21BdFafYgk3Z3PHBOrILy4P27y8s544P1jV44FTJ4XDwwQcfkJqaSnR0dIO2NWPGDEwmE8uXL+eNN95gwoQJLFiwgOzsw9c6b948SktLGT16NP/617/o168ft912W2D0Kinp8L8Xjz/+OC+99BJr1qzBYDAwbty4wLEvvviCu+++m/vvv59NmzYxceJEbr31Vn788UfA/8B/ySWXsHz5cj744AM2b97Mc889h16vx2az8ac//Ym0tLSg/qelpXHdddcRFhbGqlWrAFi4cCHZ2dnMnj0bgJkzZ/K3v/2NZ599li1btvCPf/yDJ554ghkzZgDw2muvMXfuXD799FPS09OZOXMmKSkptd6zl156ienTp/Puu+/y008/cejQIb744ougMg899BCzZs1ixowZrFu3jtTUVIYPH86hQ4eO6/ezfft2Pv30U7766isWLFjAr7/+yp133llr+alTp/Lee+/xxhtv8Pvvv3Pvvfdy0003sWTJEpKSkpg1axYA6enpZGdn869//eu4+iOqk5TjQgghzjiZG9ax/OP3jlrOYDaDpsNT8c6mMkcRjryDuKwhQeVSuvckJMzeIH0Vp5bXp3jqq83UNBFPARrw1FebuahTPHpd3dPiTsS8efMIDQ0FoKSkhISEBObNm4dOd+J/xy4sLAzUWWnAgAF88803ge22bdvywgsvBJWpHAF66KGHAH9gMmrUqEBdJpOJkJAQ4uPjq7X57LPPMmjQIAAeeeQRRo4cSXl5ORaLhRdffJGxY8cGHvrvu+8+fvnlF1588UWGDBnCwoULWbVqFVu2bKFdu3YAtG7dOlD3hAkTOP/888nOziYhIYGcnBzmz5/PwoULAYiNjQUgOjo6qG9PPvkkL730Etdccw0ArVq1YvPmzbz55puMGTOG3bt307ZtW/r374+maSQnJ9d5X1999VUeffTRQH1vvPEG3377beB4SUkJ06ZNY/r06VxyySUAvP3223z//ff873//48EHH6yz/qrKy8t57733aN68OQD//ve/GTlyJC+99FK1++90OvnHP/7BwoUL6devX+D+/fTTT7z55psMGjSIqKgoAJo1a1ZtpEucGBlpEkIIccZZM39OzQd0OkwhhwMiU4gNn9uFzuD/G6I5JITQ6FhcZaVBpzVr1aahuipOsVU7D1UbYapKAdmF5azaeXwjBcdqyJAhrF+/nvXr17Nq1SqGDx/OJZdcErQGqXPnzoSGhhIaGkrnzp0BAtuhoaGBB/RKYWFhgTorP++8805QmXPOOadaXyZMmBAY0Tlw4ADffPNN0IhRXbp16xb4OSEhAYCcHP8LoLds2cIFF1wQVP6CCy5gy5YtAKxfv54WLVoEAqYj9enTh86dOwdGiD744AOSk5MZOHBgrf0pKSkhIyOD8ePHB92rZ555hoyMDMCfiGP9+vW0b9+eyZMn891339VaX2FhIdnZ2fTt2zewz2Aw0Lt378B2RkYGbrc76FqNRiN9+vQJXOuxatmyZSBgAujXrx8+n6/atEfwj0qVlpZy0UUXBV3re++9F7hWUf9kpEkIIcQZZ9f6dTXub96uA2ExMfzx01L0RiMXjplAucPB7t83UpyXh6bTY7HZcOQdXl/S+cLhMsp0Bskprj1gOpFyx8tms5GamhrYfueddwgPD+ftt9/mmWeeAWD+/Pm43W4A9u3bx+DBg4MyxVmt1qA6dTpdUJ21tXukW265hUceeYSff/6ZFStW0KpVKwYMGHBM12E0GgM/V67P8R05/bUWR/a/JhMmTOD111/nkUceIS0tjVtvvbXOhBgOh3+94ttvvx0U6ADoKxK49OrVi507d/LNN9+wcOFCrr/+eoYNG1Zt/VR90ul01dZBVf5uT1TltX799ddBgRb418yJhiFBkxBCiDNKbe9S0hkMtDuvP4f27QXA63aTsW4tW5YuAsAcYsNVVlrtAWfz4u/pc/k1RCU2r1anOP00Czu2VNzHWu5kaZqGTqejrKwssK/qtDFDxSjo0YKiExEdHc1VV11FWloaP//8M7feemvQcZPJhNdbPSX/0XTs2JHly5czZsyYwL7ly5fTqVMnwD9KtXfvXrZu3VrraNNNN93EQw89xGuvvcbmzZuD6jJVvJi6at/i4uJITExkx44d3HjjjbX2zW63M3r0aEaPHs11113HiBEjOHToUGA6W6Xw8HASEhJYuXJlYITL4/Gwdu1aevXqBRBIdLF8+fLA78ztdrN69epAqvbY2FiKi4spKSkJBK41pUrfvXs3WVlZJCb6M3r+8ssv6HQ62rdvX61sp06dMJvN7N69OzBF8kg13SNxciRoEkIIcUaxhUcQmdAcx6E83M7DowUa8OP0t9Aq/up83rU34HX7Uy+bQmw4S0sIi47F7XISFhVN7q6dACS260RYVMMu0henTp9WUSSEW9hfWF7juiYNiA+30KdVVA1HT57T6WT//v0A5Ofn85///AeHw8Hll19+wnUqpQJ1VtWsWbOjrpWaMGECl112GV6vNygwAUhJSWHlypVkZmYSGhpaLbCozYMPPsj1119Pz549GTZsGF999RWzZ88OrEkaNGgQAwcO5Nprr+Xll18mNTWVP/74A03TGDFiBODP+nbNNdfw4IMPcvHFF9OiRYug67JarSxYsIAWLVpgsVgIDw/nqaeeYvLkyYSHhzNixAicTidr1qwhPz+f++67j5dffpmEhAR69uyJTqfjs88+Iz4+vtY1P3fffTfPPfccbdu2pUOHDrz88stB7z2y2WzccccdPPjgg0RFRdGyZUteeOEFSktLGT9+PAB9+/YlJCSExx57jMmTJ7Ny5UqmT59erS2LxcKYMWN48cUXKSoqYvLkyVx//fU1ricLCwvjgQce4N5778Xn89G/f38KCwtZvnw5drudMWPGkJycjKZpzJs3j0svvRSr1Vpt3Zs4PrKmSQghxBknNDoGt7McY5X1SwoNncGA8nqxxcSy6YfvWT13Fn2vGY05JARTSAjFebk4SxxoVR40z7nsSoz18KJQ0TTodRpPXu4f8Thyslfl9pOXd2qQJBAACxYsICEhgYSEBPr27cvq1av57LPPgtJmH6+ioqJAnVU/lWuM6jJs2DASEhIYPnx4YJSj0gMPPIBer6dTp07Exsaye/fuY+rPVVddxb/+9S9efPFFOnfuzJtvvklaWlrQNc6aNYtzzz2XG264gU6dOvHQQw9VGxUZP348Lper2jorg8HAa6+9xptvvkliYiJXXnkl4A8A33nnHdLS0ujatSuDBg1i+vTpgRTlYWFhvPDCC/Tu3Ztzzz2XzMxM5s+fX2tgef/993PzzTczZswY+vXrR1hYGFdffXVQmeeee45rr72Wm2++mV69erF9+3a+/fZbIiP974aLiorigw8+YP78+XTt2pWPPvqIKVOmVGsrNTWVa665hksvvZSLL76Ybt26BaVLP9Lf//53nnjiCaZOnUrHjh0ZMWIEX3/9deBamzdvzlNPPcUjjzxCXFwckyZNqrUucWw0deQ8hFOgqKiI8PBwCgsLsdtlnrgQQoj64ywt5T+3Xo//Efjw/+J0egM+5fOnGa+ibd/zydzwK+6KDHrW8AjKKqb4Gc0WJr/XcOsdRO0a+llhwaZsnvpqc1BSiIRwC09e3okRXRLqvb2myuFw0Lx5c9LS0gJZ4pqK999/n3vvvZesrKzAdDMhGotMzxNCCHFGMYeEEJ2UTN6eXaDTg8//12uf11Nj+W0rVxCTlEz+gWy8LlcgYAK4/L7HTkWXRSMY0SWBizrFs2rnIXKKy2kW5p+S11AjTE2Nz+fj4MGDvPTSS0RERHDFFVc0dpcCSktLyc7O5rnnnmPixIkSMIkmQabnCSGEOOOcf/1N/h98wdN9LHY7aNX/13dw7268LlfQPqPFQqsevRqsj6Lx6XUa/dpEc2WP5vRrE33WBEzgTzwQFxfHhx9+yLvvvhtIONEUvPDCC3To0IH4+HgeffTRxu6OEIBMzxNCCHEGWvfNV/w4/c0ajxlMZjwuZ53nm8PsjH3h34RKAohGI88KQoimpOn8WUEIIYSoB3l79/DjjLeC9uktFrxOJyh11IAJYOLr72I0S/IHIYQQfhI0CSGEOGN8NOURsrZsqrbfW+5f7G+1h1NWVBh8UG9Ar9PwVn3h5CmfgyGEEKIpk6BJCCHEGSNr6x91HneXl1ff6fVw5PsfdQZ9PfZKCCHE6U4SQQghhDhj3PnGe4RGx5DYsTOa7sjAR8N8DC937HPVKPQGY8N0UAghxGlJEkEIIYQ4I3ncbj556hH2b0uvs1xcansObPeXGTbhr3S/6JJT0T1xFPKsIIRoSmR6nhBCiDOSwWjkxmdeIn9/FjMemITX7U8p3nHQhaR07YWrvIylH/yPcy65nOzt7WnRsQvt+p7fyL0WQgjRFMn0PCGEEGe0yPhEJs/4jIR2HQDwuT0ktG2PyWJh3Ktv0bH/YGJbpjDv1edwO2tY8yTEaWrKlCn06NGjsbshxBlBgiYhhBBnPJ1ez1UPPkHvy68hfcVSVs35jG+nvcpbd96Kq7yMTgOHcMvzr0macdHgxo4di6Zp1T4jRow4qXo1TWPOnDn108lTICUlhVdffbWxuyHEMZPpeUIIIc4KIfZwBt54KzvWrSY0Kpqh4+7EaLVgslgBiGmZ0rgdFKeezwu7VoDjAITGQfL5UC2BSP0bMWIEaWlpQfvMZnONZd1uN0bjqUtM4nK5MJlMp6w9IU4XMtIkhBDirKFpGuddM5rkbj34ccZbeF2uxu6SaCyb58KrXWDGZTBrvP+fr3bx729gZrOZ+Pj4oE9kZCTg/45OmzaNK664ApvNxjPPPENqaiovvvhiUB3r169H0zS2b99OSkoKAFdffTWapgW2K73//vukpKQQHh7On/70J4qLiwPHBg8ezKRJk7jnnnuIiYlh+PDhACxZsoQ+ffpgNptJSEjgkUcewePxBM7z+Xy88MILpKamYjabadmyJc8++ywAF154IZMmTQrqQ25uLiaTiUWLFjF48GB27drFvffeGxhpq/TTTz8xYMAArFYrSUlJTJ48mZKSkpO74ULUAwmahBBCnFU69h9Miw6dmfjGDLoMuaixuyMaw+a58OktUJQVvL8o27//FAROdZkyZQpXX301v/32G+PHj2fcuHHVRqbS0tIYOHAgqamprF69OrAvOzs7sA2QkZHBnDlzmDdvHvPmzWPJkiU899xzQXXNmDEDk8nE8uXLeeONN9i3bx+XXnop5557Lhs2bGDatGn873//45lnngmc8+ijj/Lcc8/xxBNPsHnzZj788EPi4uIAmDBhAh9++CFOpzNQ/oMPPqB58+ZceOGFzJ49mxYtWvD000+TnZ1NdnZ2oK8jRozg2muvZePGjXzyySf89NNP1QIwIRqFagSFhYUKUIWFhY3RvBBCCCGauAZ7VvB6lHqpg1JP2mv5hCv1Ukd/uQYwZswYpdfrlc1mC/o8++yzSimlAHXPPfcEnbNv3z6l1+vVypUrlVJKuVwuFRMTo6ZPnx4oA6gvvvgi6Lwnn3xShYSEqKKiosC+Bx98UPXt2zewPWjQINWzZ8+g8x577DHVvn175fP5Avtef/11FRoaqrxeryoqKlJms1m9/fbbNV5jWVmZioyMVJ988klgX7du3dSUKVMC28nJyeqVV14JOm/8+PHqL3/5S9C+ZcuWKZ1Op8rKympsS4hTRdY0CSGEEOLssWtF9RGmIAqK9vnLtRrQIF0YMmQI06ZNC9oXFRUV+Ll3795BxxITExk5ciTvvvsuffr04auvvsLpdDJq1KijtpWSkkJYWFhgOyEhgZycnKAy55xzTtD2li1b6NevX9C0uQsuuACHw8HevXvZv38/TqeToUOH1timxWLh5ptv5t133+X6669n3bp1bNq0iblz6x7B27BhAxs3bmTmzJmBfUopfD4fO3fupGPHjke9XiEaigRNQgghhDh7OA7Ub7kTYLPZSE1NrfP4kSZMmMDNN9/MK6+8QlpaGqNHjyYkJOSobR2ZRELTNHw+31Hbq4vVaj1qmQkTJtCjRw/27t1LWloaF154IcnJyXWe43A4mDhxIpMnT652rGXLlsfVRyHqmwRNQgghhDh7hMbVb7lT5NJLL8VmszFt2jQWLFjA0qVLg44bjUa8Xm+9tNWxY0dmzZqFUiow2rR8+XLCwsJo0aIFzZo1w2q1smjRIiZMmFBjHV27dqV37968/fbbfPjhh/znP/8JOm4ymar1t1evXmzevLnOgFKIxiKJIIQQQghx9kg+H+yJgFZLAQ3szf3lGojT6WT//v1Bn4MHD9Z5jl6vZ+zYsTz66KO0bduWfv36BR1PSUlh0aJF7N+/n/z8/JPq35133smePXu46667+OOPP/jyyy958sknue+++9DpdFgsFh5++GEeeugh3nvvPTIyMvjll1/43//+F1TPhAkTeO6551BKcfXVV1fr79KlS9m3b1/g2h9++GFWrFjBpEmTWL9+Pdu2bePLL7+URBCiSZCgSQghhBBnD50eRjxfsXFk4FSxPeK5Bn1f04IFC0hISAj69O/f/6jnjR8/HpfLxa233lrt2EsvvcT3339PUlISPXv2PKn+NW/enPnz57Nq1Sq6d+/O7bffzvjx4/m///u/QJknnniC+++/n7/97W907NiR0aNHV1srdcMNN2AwGLjhhhuwWIJfHP3000+TmZlJmzZtiI2NBaBbt24sWbKErVu3MmDAAHr27Mnf/vY3EhMTT+p6hKgPmlJKnepGi4qKCA8Pp7CwELvdfqqbF0IIIY5q7fwvCYuKod15FzR2V85KDf6ssHkuLHg4OCmEvbk/YOp0Rf23Vw+WLVvG0KFD2bNnTyC9d1NWGRStXr2aXr16NXZ3hDgpsqZJCCGEOEL2tnQWz3gbgDGvvEWM/KX7zNPpCugw0p8lz3HAv4Yp+fwGHWE6UU6nk9zcXKZMmcKoUaOafMDkdrvJy8vj//7v/zjvvPMkYBJnBJmeJ4QQQhwhqnlS4OcZ9/6FRe+/24i9EQ1Gp/enFe96nf+fTTBgAvjoo49ITk6moKCAF154obG7c1TLly8nISGB1atX88YbbzR2d4SoFzI9TwghhKiBUoqX/3R5YPv+T+Y1Ym/OPvKsIIRoSmSkSQghhKiBpmnc/8k8zLYwLvrLXY3dHSGEEI1I1jQJIYQQdZj07keN3QUhhBCNTEaahBBCCCGEEKIOEjQJIYQQQgghRB0kaBJCCCGEEEKIOkjQJIQQQgghhBB1kKBJCCGEEEKIY5SZmYmmaaxfv76xu9IopkyZQo8ePeq1zunTpxMREXHK2z0eEjQJIYQQQpwCY8eORdM0br/99mrH/vrXv6JpGmPHjj31HTsJTSGAWLx4MZqm1fjZv3//SdU9duxYrrrqqvrpaD3TNI05c+Y0djearPr+bkrQJIQQQoizktfnZfX+1czfMZ/V+1fj9XkbvM2kpCQ+/vhjysrKAvvKy8v58MMPadmyZYO3f7rSNI3MzMw6y6Snp5OdnR30adasWY1lXS5XA/RSnMkkaBJCCCHEWWfhroUMnzWccd+O4+FlDzPu23EMnzWchbsWNmi7vXr1IikpidmzZwf2zZ49m5YtW9KzZ8+gsk6nk8mTJ9OsWTMsFgv9+/dn9erVgeOVIyyLFi2id+/ehISEcP7555Oenh5Uz7Rp02jTpg0mk4n27dvz/vvvBx0vKChg4sSJxMXFYbFY6NKlC/PmzaOkpAS73c7nn38eVH7OnDnYbDaKi4tp1aoVAD179kTTNAYPHhwo984779CxY0csFgsdOnTgv//9b+CYy+Vi0qRJJCQkYLFYSE5OZurUqSd2Uys0a9aM+Pj4oI9O53/UrRwxevbZZ0lMTKR9+/Y8/fTTdOnSpVo9PXr04IknnmDKlCnMmDGDL7/8MjBytXjx4kC5HTt2MGTIEEJCQujevTs///xzUD2zZs2ic+fOmM1mUlJSeOmll4KOO51OHn74YZKSkjCbzaSmpvK///0PpRSpqam8+OKLQeXXr1+Ppmls376dlJQUAK6++mo0TQtsA3z55Zf06tULi8VC69ateeqpp/B4PAAopZgyZQotW7bEbDaTmJjI5MmT67yvzz33HHFxcYSFhTF+/HjKy8uDjvt8Pp5++mlatGiB2WymR48eLFiwIHC88ntaUFBQ7VqODITnzJlD27ZtsVgsDB8+nD179tTZt7q+Y3V9N0+IagSFhYUKUIWFhY3RvBBCCCGauIZ8Vvg+83vVdXpX1WV6l6BP1+ldVdfpXdX3md/Xe5tKKTVmzBh15ZVXqpdfflkNHTo0sH/o0KHqlVdeUVdeeaUaM2ZMYP/kyZNVYmKimj9/vvr999/VmDFjVGRkpMrLy1NKKfXjjz8qQPXt21ctXrxY/f7772rAgAHq/PPPD9Qxe/ZsZTQa1euvv67S09PVSy+9pPR6vfrhhx+UUkp5vV513nnnqc6dO6vvvvtOZWRkqK+++krNnz9fKaXUbbfdpi699NKg67jiiivULbfcopRSatWqVQpQCxcuVNnZ2YG+ffDBByohIUHNmjVL7dixQ82aNUtFRUWp6dOnK6WU+uc//6mSkpLU0qVLVWZmplq2bJn68MMPa713gNq5c2eNxyrvQ35+fp33PjQ0VN18881q06ZNatOmTWrPnj1Kp9OpVatWBcqtW7dOaZqmMjIyVHFxsbr++uvViBEjVHZ2tsrOzlZOp1Pt3LlTAapDhw5q3rx5Kj09XV133XUqOTlZud1upZRSa9asUTqdTj399NMqPT1dpaWlKavVqtLS0gJtXX/99SopKUnNnj1bZWRkqIULF6qPP/5YKaXUs88+qzp16hR0DZMnT1YDBw5USimVk5OjAJWWlqays7NVTk6OUkqppUuXKrvdrqZPn64yMjLUd999p1JSUtSUKVOUUkp99tlnym63q/nz56tdu3aplStXqrfeeqvW+/bJJ58os9ms3nnnHfXHH3+oxx9/XIWFhanu3bsHyrz88svKbrerjz76SP3xxx/qoYceUkajUW3durXW38+vv/4a9DtNS0tTRqNR9e7dW61YsUKtWbNG9enTJ+i7/OSTTwa1e7TvWG3fzRMlQZMQQgghmpyGelbweD1q6KdDqwVMVQOnYZ8OUx6vp17bVepw0JSTk6PMZrPKzMxUmZmZymKxqNzc3KCgyeFwKKPRqGbOnBk43+VyqcTERPXCCy8opQ4/jC5cuDBQ5uuvv1aAKisrU0opdf7556vbbrstqB+jRo0KBELffvut0ul0Kj09vcY+r1y5Uun1epWVlaWUUurAgQPKYDCoxYsXK6VUIID49ddfg85r06ZNtSDo73//u+rXr59SSqm77rpLXXjhhcrn8x3TvTuWoMlmswV9qgYdY8aMUXFxccrpdAade8kll6g77rgjsH3XXXepwYMHB5135ZVXBp1Tec3vvPNOYN/vv/+uALVlyxallFJ//vOf1UUXXRR03oMPPhjoU3p6ugLU99/XHKDv27dP6fV6tXLlSqWU/3cfExMTCAgq78kXX3wRdN7QoUPVP/7xj6B977//vkpISFBKKfXSSy+pdu3aKZfLVWO7R+rXr5+68847g/b17ds3KHhJTExUzz77bFCZc889N3DesQZNgPrll18CZbZs2aKAwD04Mmg62nestu/miZLpeUIIIYQ4a6zLWceB0gO1Hlco9pfuZ13OugbrQ2xsLCNHjmT69OmkpaUxcuRIYmJigspkZGTgdru54IILAvuMRiN9+vRhy5YtQWW7desW+DkhIQGAnJwcALZs2RJUB8AFF1wQqGP9+vW0aNGCdu3a1djXPn360LlzZ2bMmAHABx98QHJyMgMHDqz1+kpKSsjIyGD8+PGEhoYGPs888wwZGRmAf7rc+vXrad++PZMnT+a7774LquOSSy4JOhegc+fOge3OnTtXa3fZsmWsX78+8Jk/f37Q8a5du2IymYL23XbbbXz00UeUl5fjcrn48MMPGTduXK3XVtWJ3Pdt27bh9XpZv349er2eQYMG1Vh3YmIiI0eO5N133wXgq6++wul0MmrUqDr7tGHDBp5++umge3fbbbeRnZ1NaWkpo0aNoqysjNatW3PbbbfxxRdfBKbu1WTLli307ds3aF+/fv0CPxcVFZGVlVXnd+xYGQwGzj333MB2hw4diIiIqLGeY/mO1TdDg9QqhBBCCNEE5Zbm1mu5EzVu3DgmTZoEwOuvv35SdRmNxsDPmqYB/nUmx8JqtR61zIQJE3j99dd55JFHSEtL49Zbbw20UxOHwwHA22+/Xe2BW6/XA/61XTt37uSbb75h4cKFXH/99QwbNiywfuqdd94JSpbRtm1b5s+fT/PmzYHga67UqlWrOtNW22y2avsuv/xyzGYzX3zxBSaTCbfbzXXXXVdrHVWdivt+880388orr5CWlsbo0aMJCQmp8xyHw8FTTz3FNddcU+2YxWIhKSmJ9PR0Fi5cyPfff8+dd97JP//5T5YsWVLjPa0PlevKlFKBfW63+6TqPJbvWH077pGmsrIyfvrpJzZv3lztWHl5Oe+99169dEwIIYQQor7FhsTWa7kTNWLECFwuF263m+HDh1c7Xpm4Yfny5YF9breb1atX06lTp2Nup2PHjkF1ACxfvjxQR7du3di7dy9bt26ttY6bbrqJXbt28dprr7F582bGjBkTOFY5cuP1Hs48GBcXR2JiIjt27CA1NTXoU7k4H8ButzN69GjefvttPvnkE2bNmsWhQ4cAaN68edB5AMnJyYHt5OTkY74HdTEYDIwZM4a0tDTS0tL405/+FBTQmEymoGs7VrXd93bt2qHX6+natSs+n48lS5bUWsell16KzWZj2rRpLFiwoNoImNForNa3Xr16kZ6eXu2+p6amBoIXq9XK5ZdfzmuvvcbixYv5+eef+e2332q9jpUrVwbt++WXXwI/2+12EhMT6/yOxcb6/13Kzs4OHK8pDbjH42HNmjWB7fT0dAoKCujYsWO1ssfyHavpu3kyjmukaevWrVx88cXs3r0bTdPo378/H3/8cWBIsrCwkFtvvZVbbrmlXjonhBBCCFGfejXrRVxIHDmlOShUteMaGnEhcfRq1qtB+6HX6wPTjmr6y7jNZuOOO+7gwQcfJCoqipYtW/LCCy9QWlrK+PHjj7mdBx98kOuvv56ePXsybNgwvvrqK2bPns3Chf4sgYMGDWLgwIFce+21vPzyy6SmpvLHH3+gaRojRowAIDIykmuuuYYHH3yQiy++mBYtWgTqb9asGVarlQULFtCiRQssFgvh4eE89dRTTJ48mfDwcEaMGIHT6WTNmjXk5+dz33338fLLL5OQkEDPnj3R6XR89tlnxMfHH/UFp3XJycmpltktOjr6qCMoEyZMCDyYH/nwn5KSwrfffkt6ejrR0dGEh4cfU1/uv/9+zj33XP7+978zevRofv75Z/7zn/8EsrulpKQwZswYxo0bx2uvvUb37t3ZtWsXOTk5XH/99YD/ezF27FgeffRR2rZtGzQtrrKORYsWccEFF2A2m4mMjORvf/sbl112GS1btuS6665Dp9OxYcMGNm3axDPPPMP06dPxer307duXkJAQPvjgA6xWa61B6N13383YsWPp3bs3F1xwATNnzuT333+ndevWgTIPPvggTz75JG3atKFHjx6kpaWxfv16Zs6cCUBqaipJSUlMmTKFZ599lq1bt1bLJAj+IPCuu+7itddew2AwMGnSJM477zz69OlTY9+O9h2r7bt5wo5nAdRVV12lRo4cqXJzc9W2bdvUyJEjVatWrdSuXbuUUkrt379f6XS6o9YjiSCEEEIIUZdTkT3vyAx6pyp7Xm2OzJ5XVlam7rrrLhUTE6PMZrO64IILgjK9HcsCe6WU+u9//6tat26tjEajateunXrvvfeC2s3Ly1O33nqrio6OVhaLRXXp0kXNmzcvqMyiRYsUoD799NNq/X777bdVUlKS0ul0atCgQYH9M2fOVD169FAmk0lFRkaqgQMHqtmzZyullHrrrbdUjx49lM1mU3a7XQ0dOlStW7eu1ntz5DVVVXkfavr8/PPPSqmj3/sBAwaozp07V9ufk5OjLrroIhUaGqoA9eOPP9aYYCA/Pz9wvNLnn3+uOnXqpIxGo2rZsqX65z//GVR3WVmZuvfee1VCQoIymUwqNTVVvfvuu0FlMjIyFBBI/lHV3LlzVWpqqjIYDCo5OTmwf8GCBer8889XVqtV2e121adPn0CGvC+++EL17dtX2e12ZbPZ1HnnnReUSKQmzz77rIqJiVGhoaFqzJgx6qGHHgpKyOD1etWUKVNU8+bNldFoVN27d1fffPNNUB0//fST6tq1q7JYLGrAgAHqs88+q5YIIjw8XM2aNUu1bt1amc1mNWzYsECMoVT1RBBK1f0dU6r27+aJ0JRS1f/MUou4uDgWLlxI165dKwMu7rzzTubPn8+PP/6IzWYjMTHxqMNgRUVFhIeHU1hYiN1uP64gTwghhBBnvoZ+Vli4ayHPrXouKClEfEg8D/d5mGHJw+q9vdPd+++/z7333ktWVla1ZAqnO6UUbdu25c477+S+++5r7O4EWbZsGUOHDmXPnj3ExcU1dnfOasc1Pa+srAyD4fApmqYxbdo0Jk2axKBBg/jwww/rvYNCCCGEEPVtWPIwhiQNYV3OOnJLc4kNiaVXs17odQ2ziPx0VVpaSnZ2Ns899xwTJ0484wKm3NxcPv74Y/bv38+tt97a2N0JcDqd5ObmMmXKFEaNGiUBUxNwXEFThw4dWLNmTbUFWf/5z38AuOKKK+qvZ0IIIYQQDUiv03Nu/LlHL3gWe+GFF3j22WcZOHAgjz76aGN3p941a9aMmJgY3nrrLSIjIxu7OwEfffQR48ePp0ePHpJkrYk4rul5U6dOZdmyZdXy3le68847eeONN46ablGm5wkhhBCiLvKsIIRoSo4raKov8h9CIYQQQtRFnhWEEE3Jcb/cNjMzk++//x6Xy8WgQYPo0qVLQ/RLCCGEEEIIIZqE4wqafvzxRy677LLAG5oNBgPvvvsuN910U4N0TgghhBBCCCEam+54Cj/xxBNcdNFF7Nu3j7y8PG677TYeeuihhuqbEEIIIYQQQjS641rTFBERwYoVK+jUqRPgT0Npt9s5cOAA0dHRx9yozFMWQgghRF3kWUEI0ZQc10hTUVERMTExge2QkBCsViuFhYX13jEhhBBCCCGEaAqOK2gC+Pbbb5k7d27g4/P5WLRoUdA+IYQQQghx9poyZQo9evRo7G40mpSUFF599dV6rXPw4MHcc889p7xd4XfcQdOYMWO46qqrAp+ysjImTpwY2L766qsbop9CCCGEEKe1sWPHomkazz33XND+OXPmoGlaYHvx4sVomkZBQUFgX1ZWFl27dmXgwIEnNMOnsu0jPyNGjDjh66mkaRpz5sw56Xrq2/Tp04mIiGjsbjRpZ3twezyOK2jy+XxH/Xi93obqqxBCCCFEvVFeLyUrV1E472tKVq5CnYJnGIvFwvPPP09+fv4xn5ORkUH//v1JTk7m22+/JTw8vFqZ6dOnM3jw4DrrGTFiBNnZ2UGfjz76qNbybrf7mPsoxJnuuEea6uLz+Zg3b159VimEEEIIUe+KvvuO7UOHsXvMGLIeeIDdY8awfegwir77rkHbHTZsGPHx8UydOvWYym/cuJH+/fvTr18/5syZg9VqPeG2zWYz8fHxQZ/IyMjAcU3TmDZtGldccQU2m41nnnmG1NRUXnzxxaB61q9fj6ZpbN++nZSUFACuvvpqNE0LbFd6//33SUlJITw8nD/96U8UFxcHjjmdTiZPnkyzZs2wWCz079+f1atXB53/+++/c9lll2G32wkLC2PAgAFkZGSwdOlSjEYj+/fvDyp/zz33MGDAABYvXsytt95KYWFhYFRtypQpgXYfeOABmjdvjs1mo2/fvixevDhQx65du7j88suJjIzEZrPRuXNn5s+fX+t9zcnJ4fLLL8dqtdKqVStmzpxZrczu3bu58sorCQ0NxW63c/3113PgwIHA8bFjx3LVVVdVu5YjA2GPx8OkSZMIDw8nJiaGJ554grpyuhUUFDBhwgRiY2Ox2+1ceOGFbNiwAfAH2k899RQbNmwI3KPp06fXWtfZrl6Cpu3bt/PYY4/RokULmZ4nhBBCnAWcpSUon6+xu3FCir77jn1334PniAduz4ED7Lv7ngYNnPR6Pf/4xz/497//zd69e+ssu2LFCgYNGsS1117LBx98gMFwXK/XPCFTpkzh6quv5rfffmP8+PGMGzeOtLS0oDJpaWkMHDiQ1NTUQJCTlpZGdnZ2UNCTkZHBnDlzmDdvHvPmzWPJkiVBUxMfeughZs2axYwZM1i3bh2pqakMHz6cQ4cOAbBv3z4GDhyI2Wzmhx9+YO3atYwbNw6Px8PAgQNp3bo177//fqA+t9vNzJkzGTduHOeffz6vvvoqdrs9MKr2wAMPADBp0iR+/vlnPv74YzZu3MioUaMYMWIE27ZtA+Cvf/0rTqeTpUuX8ttvv/H8888TGhpa6z0bO3Yse/bs4ccff+Tzzz/nv//9Lzk5OYHjPp+PK6+8kkOHDrFkyRK+//57duzYwejRo4/79zNjxgwMBgOrVq3iX//6Fy+//DLvvPNOreVHjRpFTk4O33zzDWvXrqVXr14MHTqUQ4cOMXr0aO6//346d+4cuEcn0qezhjpBpaWlasaMGWrAgAFKp9OpQYMGqWnTpqn9+/cf9dzCwkIFqMLCwhNtXgghhBCniM/rVZuX/qDWzv9Srfv2a/Xi9SPVi9ePVC//+aoGa7OhnhV8Ho/aOmiw2ty+Q82fDh3V1kGDlc/jqdd2lVJqzJgx6sorr1RKKXXeeeepcePGKaWU+uKLL1TVR7Iff/xRAcpkMqmbb775mOpOS0tTgwYNqrNtvV6vbDZb0OfZZ58NlAHUPffcE3Tevn37lF6vVytXrlRKKeVyuVRMTIyaPn160HlffPFF0HlPPvmkCgkJUUVFRYF9Dz74oOrbt69SSimHw6GMRqOaOXNm4LjL5VKJiYnqhRdeUEop9eijj6pWrVopl8tV4zU9//zzqmPHjoHtWbNmqdDQUOVwOAL3JDw8POicXbt2Kb1er/bt2xe0f+jQoerRRx9VSinVtWtXNWXKlBrbPFJ6eroC1KpVqwL7tmzZogD1yiuvKKWU+u6775Rer1e7d+8OlPn999+Dzqv63ah09913B/1OBw0apDp27Kh8Pl9g38MPPxx0D5KTkwPtLlu2TNntdlVeXh5Ub5s2bdSbb76plPL/nrp3735M13q2O+4/WaxevZp33nmHjz/+mDZt2nDjjTeyYsUK/vvf/wbe3ySEEEKI09+Wn5awe8tG8vbsIjv9j2rHlTr9RppK16ytNsIURCk8+/dTumYttr59Gqwfzz//PBdeeGFg9KMmV155JV988QXLli1jwIABQcd2794d9Nzl8Xhwu91BIyKPPfYYjz32WGB7yJAhTJs2LaieqKiooO3evXsHbScmJjJy5Ejeffdd+vTpw1dffYXT6WTUqFFHvcaUlBTCwsIC2wkJCYERmIyMDNxuNxdccEHguNFopE+fPmzZsgXwTwMcMGAARqOxxvrHjh3L//3f//HLL79w3nnnMX36dK6//npsNlutffrtt9/wer20a9cuaL/T6Qy8c3Ty5MnccccdfPfddwwbNoxrr72Wbt261Vjfli1bMBgMnHPOOYF9HTp0CEpAsWXLFpKSkkhKSgrs69SpExEREWzZsoVzzz231v4e6bzzzgtKGtKvXz9eeuklvF4ver0+qOyGDRtwOBzV3qVaVlZGRkbGMbcp/I4raOrWrRtFRUX8+c9/ZsWKFXTu3BmARx55pEE6J4QQQoiTc2jfHpxlpSSktufzZ58gNrkVg24aFzhe7nCABjvWriQkIoqcnRnk7d1NdFIKy2a+W2fd97w/u6G7X+88ubn1Wu5EDRw4kOHDh/Poo48yduzYGsu8+eabPPTQQ1xyySXMnz+fgQMHBo4lJiayfv36wPbs2bOZNWtW0HqaIwMim81Gampqnf2qKeCYMGECN998M6+88gppaWmMHj2akJCQo17jkcGOpmn4jmNK59HWbzVr1ozLL7+ctLQ0WrVqxTfffBO0NqkmDocDvV7P2rVrqwUZlQHnhAkTGD58OF9//TXfffcdU6dO5aWXXuKuu+465r4fL51OV21t0skm4nA4HCQkJNR4TySr4PE7rqApPT2d0aNHM2TIEBlVEkIIIU4DHz/5CGXFh1NU79m8CTSNDd/Np991N7D0g3fRdLrA+qQht97Ons2/sXnpD3XWGxIZhe6Ih87TgSE2tl7LnYznnnuOHj160L59+xqPa5rGW2+9hU6n49JLL+Xrr79m0KBB/v4ZDEEBULNmzbBarUcNik7EpZdeis1mY9q0aSxYsIClS5cGHTcajcedPblNmzaYTCaWL19OcnIy4A8SVq9eHXgXUbdu3ZgxYwZut7vW0aYJEyZwww030KJFC9q0aRM0cmUymar1q2fPnni9XnJycqqN3lWVlJTE7bffzu23386jjz7K22+/XWPQ1KFDBzweD2vXrg2MGKWnpweli+/YsSN79uxhz549gdGmzZs3U1BQEHiejo2NZdOmTUF1r1+/vtp1r1y5Mmj7l19+oW3bttUCQIBevXqxf/9+DAZDtQQdlWq6R6Jmx5UIYseOHbRv35477riDFi1a8MADD/Drr78GDRMKIYQQoumIaxP8EO3zuMnbs5uo5i3YtfFXdAYDyucjNrk1I+9+iJwd20npcQ6X3VP7LBK90URUfGJDd71BhPQ+B0N8PNT27KJpGOLjCel9Ts3H61HXrl258cYbee2112oto2kab7zxBrfccguXXnrpUUdS6uJ0Otm/f3/Q5+DBg0c9T6/XM3bsWB599FHatm1Lv379go6npKSwaNEi9u/ff8yp1G02G3fccQcPPvggCxYsYPPmzdx2222UlpYyfvx4wJ+woaioiD/96U+sWbOGbdu28f7775Oenh6oZ/jw4djtdp555hluvfXWav1yOBwsWrSIgwcPUlpaSrt27bjxxhu55ZZbmD17Njt37mTVqlVMnTqVr7/+GvBnrfv222/ZuXMn69at48cff6Rjx441Xkf79u0ZMWIEEydOZOXKlaxdu5YJEyYEjZINGzYs8Ltet24dq1at4pZbbmHQoEGB6ZAXXngha9as4b333mPbtm08+eST1YIo8E/LvO+++0hPT+ejjz7i3//+N3fffXeNfRs2bBj9+vXjqquu4rvvviMzM5MVK1bw+OOPs2bNmsA92rlzJ+vXr+fgwYM4nc5j+v2dlU50MdSiRYvUjTfeqKxWq9I0TT344IMqPT39mM6VRBBCCCHEqeHxuNXmpT8oZ1mpKisuVllb/1Aet1sppZTX61HZ29LVis9mqvKSEqWUUj9Mf0ttXbVCKaXUtIk3B5I+VH5eGn2ZcjudDd7vhnxWKPz2W7W5Q0f/54gkEJs7dFSF335b720qVfNi/507dyqTyVRjIoj8/PzAPp/Pp/7617+qkJAQ9cMPP1Sr+1gSQQDVPu3btw+UoYaEDpUyMjIUEEjSUNXcuXNVamqqMhgMKjk5WSlVc4KBV155JXBcKaXKysrUXXfdpWJiYpTZbFYXXHBBUEIFpZTasGGDuvjii1VISIgKCwtTAwYMUBkZGUFlnnjiCaXX61VWVla1vt1+++0qOjpaAerJJ59USvkTTvztb39TKSkpymg0qoSEBHX11VerjRs3KqWUmjRpkmrTpo0ym80qNjZW3XzzzergwYM13hellMrOzlYjR45UZrNZtWzZUr333ntBCRmU8ieguOKKK5TNZlNhYWFq1KhR1ZKn/e1vf1NxcXEqPDxc3XvvvWrSpEnVEkHceeed6vbbb1d2u11FRkaqxx57LCgxxJHtFhUVqbvuukslJiYqo9GokpKS1I033hhISlFeXq6uvfZaFRERoQCVlpZW63We7TSl6kjufgwKCwuZOXMm7777LuvWraNLly5s3LixznOKiooIDw+nsLAQu91+Ms0LIYQQooF8+H/3c3DvHtxlZYCiXb+BDLjhFiLi4hu87YZ+Vij67jsO/GNqUFIIQ3w8cY89iv3ii+u9vdPdsmXLGDp0KHv27CEuLq6xuxNk/Pjx5ObmMnfu3MbuijiDnXTQVNX69et599136xxmBgmahBBCiNOF21mOwWhC09XLqx2P2al4VlBerz+bXm4uhthYQnqfg3YartNqSE6nk9zcXMaMGUN8fHyNL25tLIWFhfz2229cdNFFzJ07l4suuqixuyTOYPUaNB0rCZqEEEIIURd5Vmgapk+fzvjx4+nRowdz586lefPmjd2lgMGDB7Nq1SomTpzIK6+80tjdEWe44wqaLrzwwqNXqGksWrSozjLyH0IhhBBC1EWeFYQQTclxpRxfvHgxycnJjBw5stbUj0IIIYQQQghxJjmuoOn5558nLS2Nzz77jBtvvJFx48bRpUuXhuqbEEIIIYQQQjS641rV+eCDD7J582bmzJlDcXExF1xwAX369OGNN96gqKioofoohBBCCCGEEI3mpBJBlJaW8tlnn/H666+zefNmsrKyjmnescxTPgu4SqE0DyKSGrsnQgghTkPyrCCEaEqOa3rekdatW8eSJUvYsmULXbp0kXVOZzHXnmLQa+BTGJuHoi17CdZ/SH7qV6DTiLy8TWN3UQghhBBCiBNy3EFTVlYW06dPZ/r06RQVFXHTTTexcuVKOnXq1BD9E02Qz+Ul57/rMcaHEP2njii3j0OfpuMr9+ArdmNICsUUfxVlRYNRP2ejizAReXkbvCVuct/+jZCesVi7xFC+NR9N09A2f4irNJGQSy/BuasYY4INa4coyjMK0FkNmBJD8Rwqo+DrnVg7RWE7Jx7nniIKvthO9M2dMERaGvuWCCGEEEKIM9hxTc+79NJL+fHHH7n44osZN24cI0eOxGA4/sEqGXI/PSiPD1+ZGy3ESOn6XApmbyPi2lRMcTZy/r0ezDrQaVDmPfFGNEApMPrAU/FCQQVY9ODxYYixog8z4cwsBLf/q6prHoJvXykA5q5RRIxojXL70HQanoNlWDpGoWnaSV27EEKIxnU2PitMnz6de+65h4KCggZvKyUlhXvuuYd77rmnwdsS4kxwXBHPggULSEhIYPfu3Tz11FM89dRTNZZbt25dvXSuyfJ6AAX6GqYjusvA6YDibPhwNPS7C7pfD7aYU97N4+FYmY07uwR9rJWSFVmY20dSujIbjoiHCj7ddnjD6Tv5hhWABu4j3sBe7m/Ys78Uz/7SoEOVAROA87dDHPjtUPC5eg1r9xiiRrWnbGMulo7R6EzyhnchhBCNb+zYscyYMQMAo9FIy5YtueWWW3jsscdOqL5TFfxMmTKFOXPmsH79+gZtR4im6riCpr/97W/yF3yAL/8KJblw8+zqxz4fD+nfQEg0lObCd4/Coieh3SWQdC40PwfszSEy+dT3uxaHPknH5/JS/nteYF/piuxG7NFJ8irK1uWyf2cR3nwnYRcnE35hy8bulRBCiCbG51NkbyugpMiJzW4moW0EOl3DP+eMGDGCtLQ0nE4n8+fP569//StGo5GEhIQGb1sIcWKOK2iaMmVKA3XjNFBWANYI/899J/pHlALH8qFwL8R3hdgOkP61P2DqcSOsnwleF2z50h9M+VyABl2ug2vfhqIsCG/e4N13ZhaCTsPc0o77YBmO5fvwlXsI6RVHWUY+qsjd4H041byFTgCKv9uF46d9xE7oiikxFICCeTuwtI/E1DwU114HlnaRjdlVIYQQp1jGrzks+2QbJQXOwD5bhJkBo9vSpmezBm3bbDYTHx8PwB133MEXX3zB3LlzmThxYnAfMzK47777+OWXXygpKaFjx45MnTqVYcOGATB48GB27drFvffey7333gtA5aqLn376iUcffZQ1a9YQExPD1VdfzdSpU7HZbDX2qaCggAceeIAvv/wSp9NJ7969eeWVV+jevTvTp08PzC6q/ON5WloaY8eOrfd7I0RTdVxBU2RkZI0jTeHh4bRr144HHniAiy66qN4612g8Lti/EX5+HfreASv+BX/Mg5AY6H8/dL0WvnsCPrgGrn/fHxBt/tL/8/JX4cZZkPUrbPw0uF6fq+IHBZs+838Abv0Gks8PLntgMzTrCHWM7CmfonjxHkJ6NMMQ5U+G4C1xg0HDta0AZ2YRmllH2ZZDeLJK0Cx64u4/hwOvrPWvI9Kg7Nfc+rlnTVGV2YOq1EPOm7+CE7DqQSnceWWYWoRRvGgXaBBxdVtsPePQ9DKaKoQQZ7KMX3NY8OamavtLCpwseHMTIyZ2afDAqSqr1UpeXl61/Q6Hg0svvZRnn30Ws9nMe++9x+WXX056ejotW7Zk9uzZdO/enb/85S/cdtttgfMyMjIYMWIEzzzzDO+++y65ublMmjSJSZMmkZaWVmMfRo0ahdVq5ZtvviE8PJw333yToUOHsnXrVkaPHs2mTZtYsGABCxcuBPzPfkKcTY4raHr11Vdr3F9QUMDatWu57LLL+Pzzz7n88svro2/1x1kMa6aDqxgMFjjvTjBaYP/vsPkLWPoSDH0CBtznL/+fc6Bgt//n36tMwSs96J9ul7kETDbwlPuDm8zl/jY+uBaUD+Y/CPk7jq1vejMk9ACfF3581j86tflLWPQUjJkHrQbUeqry+ChZtR9jZDmGxS+ihj7N/hcz0IUZ8R5yYmhmRd8sBE9WCQtxE+L0cP6zq/zJF8KMUOSuSMRwAve0JgbAA7pYC77ccv8+HWDRQZnv5Nux6sCnwFlHRXVdT+UfEysSV7j3ObD1jfeX90HB59swJYRiah56kh0VQgjRVPl8imWfbKuzzE+fbqNV99gGn6qnlGLRokV8++233HXXXdWOd+/ene7duwe2//73vwdGpSZNmkRUVBR6vZ6wsLDAyBXA1KlTufHGGwPrnNq2bctrr73GoEGDmDZtGhZLcNbZn376iVWrVpGTk4PZbAbgxRdfZM6cOXz++ef85S9/ITQ0FIPBENSOEGeT4wqaxowZU+fxHj16MHXq1MYPmg5lQtZ6+LyyvzqChh1MNv8Uuy/+AjmbIbEnNOsEJXkw87rDAdOREnpC/i7I3QotekOHkdB7DJxzC7zQClRF1oTaAiadGXzO4H1eJ/y3nz8g05sgN92/PywBdBW/nkM7/WWueA0yl0GHyyFzGboOl5HwSF/YsQzydqD5yom6sSPu3FJcu4so/y2PyFHt0F/amj9eXc6dror6rHqMdjPuY52SZ9NBiY8Y4xM4fR0p9v65xmIeDfRwOGAC/20vrYeEEeAPvI6mtqBJD3hBM+lQPoU+3EzEVW0o+DIjqLxjdTYRsa1PKHFE8U/70Iw6QvvKnHQhhGiqsrcVBE3Jq4kj30n2tgKat2+Yqdvz5s0jNDQUt9uNz+fjz3/+M1OmTOGzzz4L7ofDwZQpU/j666/Jzs7G4/FQVlbG7t21PKdU2LBhAxs3bmTmzJmBfUopfD4fO3fupGPHjtXKOxwOoqOjg/aXlZWRkZFxklcrxJnhpF5ue6TLLruMZ555pj6rPH6bZsHn44L36fSQOhw6X+1PwJDYy7//z5+C1w1RKeAuhzl3QtYRmf+i24MlDA5lQEkO9LoJtswFVwkYbfB8Cv4n9aMIifEHRiab/yHdXXL4WEHm4Z/T58MNn8CeVfDpzTD+e/9olqcMZt/mTyjhc/un/yX2AkcOvHc5XPMOWMKxdojEnV2C7dx4wvo3x5xkx1vi5uFeyZTvLMCbU4YxJgSftyIAqWv0R1dxvMQHGjg8w/DSHIwapnaRuLYXBGXQ05rCsqja4qqKeFa5/SNe3rxy8tJ+95c368GgoMRH6er9+IpcuPYUE9q/Oe6sEiIub03xsn0YYqy4dhQSNbo9ruwSlNuLueXhNLg+hxvNpMO1t5jin/YRNaodml7X4JcshBDi2JUU1R0wHW+5EzFkyBCmTZuGyWQiMTGx1te3PPDAA3z//fe8+OKLpKamYrVaue6663C5XDWWr+RwOJg4cSKTJ0+udqxly+qJkRwOBwkJCSxevLjasYiIiGO6JiHOdPUaNDmdTkwmU31Wefziux3+OSQOHtpae9mqCRi+fxJ+n3V4W2fypxR3OaDtMLBGws6l0PI8GPI4TG0OpsoH5hoiD50RbLFQmgfmMH/AFJEMQx6D7/4P3KWgGUAdEWkoH3w4yv+zrRm81gP+/Ll/u/2lENfZP8K19EXIWgtdroax8/zrp35+DSYuxbWriOKfs9BpEDOhKyWr9lOyKhvNbAAdGCLNuA+VB7dr0sB1xHVUDUA0KGcQGHTg9uH6/RCYdP6PHij3oT/K9DstyoQ6VPd/6Btc1T5WXp/bC5XdMukp3+xPYV70TSYAZVsOojMasHaLpnTTQWz9Eiletgfn7mLiJnZDMxvQ24yEj0jBdaCEktX7ce4sJP/L7aA0LKnhhHQ/dXPjhRBC1M5mN9druRPqg81GamrqUcstX76csWPHcvXVVwP+4CYzMzOojMlkwusNfj9Ir1692Lx58zG1UVl+//79GAwGUlJSaixTUztCnE3q9c/g//vf/+jRo0d9Vnn8Ytoe/rn0AHx1z9HP+fkNWPVGlR060HRw5X/g2reg42Vw7TvQ4wb4+b/wbBz4PFB+qNYqMYdBcZZ/+l3pQf++gl3wzcP+dOWaVj1gCjo/AnQ6uPFzSB0K170LrQeDNaqiiwZ/UAUQ1wWK96MGPuS/BWM7E3pOHPpIC+Xb8ilZcwBDsxBUmQdTSjjug2V49jiC2zsyYDqSD7RQI7iqrE1y+TC3i/BPm7MefTrbKQ2Y7EbMXaIObxvqGA30cfiaanpRr0uhPD48OWXgU+T+dz3lO4tQhS5y3thIzmvrKN9egLfISc60DZT8lIWv0EXpqgOU/nqA4qX78Dk99Xl1QgghTlBC2whsEXUHRKGR/vTjja1t27bMnj2b9evXs2HDBv785z/j8wVPqUhJSWHp0qXs27ePgwf9zxsPP/wwK1asYNKkSaxfv55t27bx5ZdfMmnSpBrbGTZsGP369eOqq67iu+++IzMzkxUrVvD444+zZs2aQDs7d+5k/fr1HDx4EKez4UbihGiKjmuk6b777qtxf2FhIevWrWPr1q0sXbq0Xjp2Up4sgD1r4IOr/OuTlr8GzXv7XzAb2y64rCMXvn348LbB5g+SlNcfGP0xD3550x+4bP/+6G1bIqC8CMoOgSnMP/3PW+4PcjQdlBf4y4U190/RK6sl8DKYweeDlAH+4KnLtcHHD2yC0Dj/zz4PyuUg99NSLIP3YEmNxBBjpXjJHrylblSZBy0+hNi/dqdgTgbKe4wZGSrXB1l0UO5DOdzVjnsOVoxYVQYb9ooEE8fjiCVnJ1ymkkGDIjfOTVXurefkslAopxfn7iL/yFqZF1AYEmx48kqx9Y4n78MtGONC/KNuVXkU7n0OCpfsIfLiVifVh7OJJ68MzWYk+z+roESR+HBfdJZ6HRgXQpyldDqNAaPb1pg9r1L/69uekvc1Hc3LL7/MuHHjOP/884mJieHhhx+mqKgoqMzTTz/NxIkTadOmDU6nE6UU3bp1Y8mSJTz++OMMGDAApRRt2rRh9OjRNbajaRrz58/n8ccf59ZbbyU3N5f4+HgGDhxIXJz/WePaa69l9uzZDBkyhIKCAkk5Ls46mqpM6H8MhgwZUuN+u91O+/btueOOO2jV6ugPhkVFRYSHh1NYWIjdbj9q+ZPi88G/e4HjgD/b3ZP5h499NhZ+/8L/szEUzHYozweDyZ/Vzt4cIpL8a5iOh6b3jwgNeRS2fA07foDQeEjsAWHxsHmOP2iKbQu9xsAXd/j7p2n+VOD4/IkgLvo7bPwMXIUw7tvgNg7t9F/byv/C0CfBYsexKpuy3/NwZRYR85euOP84RNH3RywW1cDQyo5nx+H/6GomHcoVHJHooi0olxdV7EYfY8HrcIPHV7F8SwP34fK6KBO+fFdg6t4Jqc8sfqeILtyIr9CNLtSIMdmOs8rLgQEwApXxow5sveMxt4nA0jYCDDo0vU7Sm9egLCOfvLeDH2aix3fB2lbepSXE2aShnxVqek9TaKSZ/tc3/HuahBCnn+MKmurLKQ2aKqVdCnnb4YGtsH2RP5HD908GZ7ob+Qosfd7/4tm174GrqPb6wJ+6fOsCSOgOFz8Dy17xT8Hrdj1s+96fVOLQDn+2u7B4iG7jX4tksvmn2l3+qr+eomxY9TZs+Mi/1qlyNKpSdCrctbZ6+zlb4LNb4ebZYE8EwJ1byoFX1mJMDCVuUk88h8rZ/9LqQCIEU4dIfMUuPPtKwKiBu8qvXwNDog1fsRtfuccfACkwpthxZxZhSg3Htb2woqIqa6AM2kmP5NSqygiTZtFDrAW1p6TOU6oxcXjN0tEcT/BW0TddhAmfywulVab2mXToI8x4D5UfvjcVk2E1ox5Lu0jKMwpQkRaW5jkZ8ZeuRCXW/MLBs83ex5cFvq+VWjxXe+p9IcSZ6VQ8K/h8yp9Nr8iJze6fktcURpiEEE3P2RM0VfVGf/+D8YHfKtJ66/wvnq1M8124p/ZzDVb/y28jkmDQw/41VEnnHj7+0yuwcArctQ6MVigv9L+kFvyjRkueg8K9cM6tEBoLA+6HX6bB909AbAd/Xwwm2LsaDCFwyXOQ1BfeGgJGM4ya7g+46pD/5XaU00vU9e0ByH3vd5xbDoECLcKEDg3l9uIrqbLOxqD5gxNfzV8HzWZEldT8XiddpBlf/rHOba44WQNUA/6PqeooTwMztQlHZ9bj3FmIKvOCVY8uxIjP4az1nVKmlqG4djvAqmeXzUT3mzpiiwtBuX0nlO78TFLwbSaOTbkQotHijt6N3R0hRCNp9GcFIYSo4uwMmtzl/sx4Wb9CREv4Vw9/YLLjh5rL68z+9zGV5MLmuf7ApXkv+HISRKYcHjHauQzm3AGtBsFVr9fe/hv9/WufrJEw+n3/lLzi/f4+LZxSkWSiEMqLAR9kb/Bn4zPZYOxXENX6uC537+PL0IWZ8BX4h1usPWKwpEaS/3nFy/0MFdMCvfjXLzkrkj1o+NfwOH01Z9eDY1xrVApYq2xX1lMlD4meilGbIwKwivcr1eh41jmdrNrasumxto3Cle3Ae6Ds6PWYdeDyETYimZKfsvEV+38nWoiB9SUeYj0+Ov2pHabEMAzRFjSDDs0gacuFEGefRn9WEEKIKs7OldXGijdht+jtf6Gt11V7wNT/PmjeEz6fAH9dCZ2ugk5X+I/dNNu/DqnSb5/5X5J7xWt1t3/R3/2Bm8Ho39Y0//S93b/AeZPg3YvAWcPUQK8L0r+Bfn89rsvVdDr0djOaWY/3QBmuA6U4dxcfLlB1al25PzKwX94K914HZb/m+oOnmgImA3BMSeF0QDHo7BWBRw0jTJoGmqo+YlVXdtNTFTDV1VaJl7L1uXWfq4GlU7R/LZPdRMF7W3DuKfIHTBYdmsmAKnKR4vVhN2gUzNoeONXYPJS4u3rW22UIIYQQQojjd3aONFVyl8HUFv7EDd4jHtYNFhj1PrQeAB4nrJsBPW4CW3TNdR0Prxs+udk/Te+On/z7vn0cfv6P/2d9CHhLaz63583+dU+9xkLrgcfUnCe/nJJ1+yn+vo5phxUjOubu0TjTC7B2icbaIYpDH/xRvWzVKXrHswaoMu23SY++WQjezKOsGTvWapND8exyHL1gYzDpQIPwq1Ip/KTinWFVRq2ix3bG63BRUDnqZ9KBQUOVeMCgYe0YjTunFG9eORF/ak9o19hGuQwhhDjVmsyzghBCcLaONFUyWiG5P+xcHLw/oad/HZLRDFOTYPKv/ml5f3ztD7RuX3Zy7Wb9Clu/gYlV0rP3ugUO/A6Zy6oHTCkDIbOi7K/v+/+5qeJFvNZoaDccrvg36Gv+dbr2FFcPmMwV0+4qkzhUPMTrdDo0k46yNTk4t+QTMiCR0mVZ/gd9VeVTqerPoXpwVAwNxRjh4OFFRVqkCVXi8idk8HhOKmDSbHpUiTcQfKjSowx3VQZ2dU31qw9V668cTFMKXApTsxAMLUPx7Hb4E3B4AK/C5/TgWLwXS69mlP+ag7lNBJpZT/H2AhZklXLF3mJUxbTKgpl/UIA/iA27tg1h58Sj08nUPSGEEEKIhnZ2jzQB5O+Cf3Wr2NDBBffA4If8AZWzGDbNhp43+VN85+/0Bzb97zn5dov3+6fkHam8yJ+M4Yen/QGS1wnGEAiJhsJ9VJ0nVrnsiMRz/FMC47vU2JTy+nBlOcifvR1PdnDmOc2ow9jKjmtrQeChX7MbMcbZcG0rAA30zax4Dzn92fS0ikaPNjVOA6w6dJoOZdChnF4oryNiMfnX+gRUXUNk0oGm0GxG7ANaULxkL6rciy7MiK/YhSo/lfP0ahFmwBhnw12ZXRBAB3q7GWOCDV2UGU9WCd4iF7GTumOwmsifs52SNfuJvLYd7v0lOFbsBTeEXdQSQk0U7nGg25BTaxp3U9sImo3veoouUAghTq0m9awghDjrSdC0ZxW8dxUk9IBx8xu3L1WV5MGyF6HVENjyJfz2qX9NU4XgwR4dOnz+EbKbZ/uDrFVvwjljwRIeKFe8bC+FX++s3pYGYYNaULolL5DMIOzSFJzb8nHtLAKjDl+ZfzRHV3U9UuUIzpEpx6uOOEH11OY1qTLNz9I9lvLfc/2jMRoYW4bhK3FjsJtx7ioi9ILmGFuEkv/xH0Tf3IlDc7ej8l3o4qz4qiRjMLeNAKse58a8mlpsGEYd6DX/GK7jiCBRA2NiKO5sB7ZzEwjpGUvuGxuJvLYt+XO2BUap9MmheI823dCkETO+K5bk8LrLCSHEaapJPSsIIc56EjSdLvJ3wZsDQfn8mfcKd+Pj8CywQCgzZh6Et4BpF8DYedC8F75SN8XL9hFybhwHXl7nf0mtTQ8llS9vOmKUp4Y1S+rIdqqU1cdZ8R4sO8akEHWoHF0K1aNpOlRxcM5w+4hkin/JQm814nN68RW7A6MwulAjptbheAuduHcVg0HD2CwEd1bFyJpZh6bzp1oP6qdeA289/Cug+VOv41H4ilyg19BFWfDllYFRh7VbLGVrDhB1c0dK1+WgsxqIvKYtjhVZ6MJNlK3LoXzzocPVhRpRjsPXH35Za/ThJkwtwjBEWk6+v0II0cTJs4IQoimRBRGni8hk+MtiuHcTXPh/ENMOwprjNtoOBzJmO8R3hahW8HiWPy064C12UbL2AJoCc5tw9LHWwwETgMeHfWQK2PxfB81i8I+KtLJj6Rjl36cDXZix2jdGn2DDu/84AiZLHV+5yrjN4UXVMJWvfHsBqsCNJ7vUH5h4Kt9660/ZXf7bQTw5ZRCix9I2ElNquH+UC8Dp879D6ch+6rUak/kdNwW+Q058DhdamAF8Ct+hsop3X4HO4H/3UvEPe4i5qRNR17ZDlXkoXrSbglnb0VkM6KLMgT5VDZhsg1sQ1r85IV1jJWASQgjRaKZMmUKPHj0auxvHbPr06URERAS2T7f+i6ZFgqbTSVQr/3S7yGSIao1uxD8wDXoQYtpDxyvh0T1gjThcfs27kLMFY5yNxMf6Yoi2Ak6infehaVUSMSgo+joTSipGbcKM/kDEpKHcPuwXJRNzWzcs7SPBrPdPv6vgzSv1J5WwHuMLWct9EFqRsKKuU2rIaeGqsl4obGQrtFBjoP+aUecfEfP4wOujPP0Qpatz/NMCawnUNKveP8JWn2OtPlDFHtCDLsyEZtajt5sIPS+e8JGtsbSNDBT1lrjBpCf6xg7YL07BV+iqyDCo/Pc01AB6DWubiHrsoBBCiMYyduxYNE1D0zRMJhOpqak8/fTTeDwnO1Xj1HjggQdYtGhRYHvs2LFcddVVjdchIU4hCZpORy3Pgz9/Ap2vgo5XQK+b/RkAX+sFW+YdLrfi37BredCpkVe0xdCmI/YL/FMd9FHmakGDN6+ciKtScaUXohl0hA1OovDrHZStzYEyL8boEOxXtPI/4LuUPwtfWfX1O7oIU+DnICUV/3OwGWu+Ph1QVndyh+K5O1Dew2U8+0pAA0OUBU3TgQ8irmiDPtwE5T50kRV9MR/+yqsj+1yVSQe1dO+YeMBX4EJ5vXjznTh3FhLWvznhw1NQbi/Fy/aCgsRH+mBJjUQzaOisBjSjnvDL24DTR9iAFtgvbIkhNuQkOiKEEKI2Pp+XPb9vZMvyJez5fSM+X0OmWPUbMWIE2dnZbNu2jfvvv58pU6bwz3/+s8ayLperxv2NJTQ0lOjoenj1yhGa2nUKURMJmk53H14POX/AyJeh2/UQ2/7wscm/wrkTgoobou3oRr9J2GUDSJzSj4SH+mAb3Nx/0FTxdfAqdHYz9ktS8Ba6yHphJYQaMCaHgUnDvacY9+5if/KHyoDLqIG5SnRk1PA5XP51PlWDMg0MzUL837wi/xQ0fYLNfyjM6A9qjiUZngJKvdX2eQ+Vo4+xgkmH3m7C2rMZ6MCXX/EfZKcveCGYXqtyur+jWqgBXD50drO/T+FVpiUe71Q+D5g7RFK2KY8Db2xA+RSefCeFCzI58PJaPHmHE1eYksKImdAF145CYv/anfBBSdiHtsQQYT7ORoUQQhzNtpUrePuv4/n06ceY/9o/+fTpx3j7r+PZtnJFg7ZrNpuJj48nOTmZO+64g2HDhjF37lzg8MjNs88+S2JiIu3b+/+f/ttvv3HhhRditVqJjo7mL3/5Cw7H4YRBHo+HyZMnExERQXR0NA8//DBjxowJGgXy+XxMnTqVVq1aYbVa6d69O59//nng+OLFi9E0jUWLFtG7d29CQkI4//zzSU9PD5SpOr1typQpzJgxgy+//DIwerZ48eJj6m9t11mTr776inPPPReLxUJMTAxXX3114JjT6eSBBx6gefPm2Gw2+vbtG+iDEPXt7H5P05ngxs/AGun/HCedxf/rjxjeipCOMXgOleEr9RDaJwHNqMPXMoyiBZmg13D/URB0btmmg+hjLcTdfQ4la/b7X6C7dB+a3YgqcftHoPTgK64IVqw6/+iRAk/lWh9AM+nwVqRBN7eLwJVZhM/pRLPoURrVR7BqU5HBT6Hw7HOAgoNv/0bs7d1w7SryZwGsTDRRGcQpqiWB8OFDVzES5itwBR83ELwm6liyAgLOHQX+aYkaFMzNIPKqVGJv74ZjeRb6KP8aJU9OKeXph/wBXqkHfcjJDHMJIYSoy7aVK5j78j+q7XccOsjcl/+fvfuOk6q6/z/+unf67O5sr/TeqwhYwd6NvRdi1GhiorHEVFuKMdH8zDcaTVHQiBo1GHtFsYAFRXqHpe+yvU+f+/tjYJZhC0XYXeD9zINHdm49d9yFee8553N+z9m3/oIBE47skLZ4PB4qK5urvM6cOROfz8d7770HQGNjI6eccgpHHHEEc+fOpaysjGuvvZabbrqJadOmAfDAAw8wffp0pk6dypAhQ/jLX/7C//73P4477rjEde+//36eeeYZHn/8cQYMGMDHH3/MFVdcQW5uLpMmTUoc98tf/pKHHnqI3NxcbrjhBq655hpmz04etQLxoXrLli2jrq6OqVOnApCVlbVb7W3tOVvzxhtvcO655/LLX/6Sp59+mlAoxJtvNlc6vummm1i6dCnPP/88RUVFvPzyy5x66qksWrSIAQMG7Nl/CJFdUGg60GX1/daXMAwDVy8frl7J1YlMr4Pc60YSKm2k9q3ieKU6jw38UQy3g2h5gKa5pcTqQth9LtzDswgsqYJYvLfGaoiQSCj+WHNo2RY0jHQHnoFZNM3dCkDg6/JtNwZjW1U7y0Zy0GmLjXigiVgYXgdWJIqBQWhLA6ENOy2kaxrbhhZuX9EXbLleIlubiNoMzCh4hmdjpDlpmlsa71EzAJvZXHwCdiswxR9s2zlWPGw6eqQR2dpIeFtYrH1nHaHN9RhuO7H6MHk/GL171xURkT0Wi0X5YNo/2j3mw6f+Qb/DJ2Cauzlfdy9YlsXMmTN55513+NGPfpTYnpKSwr/+9S+czviw8n/+858EAgGefvppUlLiIzMeeeQRzjrrLB544AHy8/P561//ys9//vNEL8wjjzySFC6CwSC///3vef/99zniiCMA6Nu3L59++il///vfk0LT7373u8Trn/3sZ5xxxhkEAgHc7uRCRKmpqXg8HoLBIAUFzetOPvXUU7tsb2vP2Zrf/e53XHLJJdx7772JbaNGjQJgw4YNTJ06lQ0bNlBUVATEg9zbb7/N1KlT+f3vW4ZikW9DoUna5eqbHv/TMw0rauHq5SO4qZ7yR+YDUDtrA1ZtOBGmHL3SsEJRIg3beph2XKQ2Rnwdo3CMlEndIBCjcUEZnlE5mCkOGueVxRfAjQFOG2kTCzGAiD9M46zNSe0yc13EyoPNG4IWhteGFYzi6p9OYGEFlscGFriHZMfLeccsXKOycRWkEi5twr+gPB6eYhbR8iZsPidGXbzdkfoQZiSWWH/KMyYPw2bQtKAs3ou2l2INYWpeXBm/5qgcSu7/Ml4J0ADfuf1IG1e419cWEZFd27xsCQ1VFe0eU19ZweZlS+gxbOQ+v//rr79Oamoq4XCYWCzGZZddxj333JPYP2LEiKQgsWzZMkaNGpUIIABHHXUUsViMFStW4Ha72bp1K+PHj0/st9lsHHbYYcRi8X+AV69eTVNTEyeddFJSW0KhEGPGjEnaNnJk8zMXFsb/TSorK6Nnz5679Xy7au/20LTzc7Zm/vz5XHfdda3uW7RoEdFolIEDByZtDwaD+2XelYhCk+wWZ/e0xNeu7mmkn92PYHENptOOf1E5tjQnrhHpZJzdj5q3i4l8ugUAI82JVRfC0cdH2pFF2HO8hIprCZc1Ean0k3fjKMofW0DmOf3xLygntm39KGdRKo1flJB95VCCMzfEb7xtXpHhsceD2s5cNmiKEtxQl5jzVPva2nhBilg86IRW1RJcUIm9wIuzVxqhjfWJUBerC8XDnwHh9fV4x+XHhxhGLYKrqjFcdmypTqJ1IbCsxGK0AIbXhpHmILY1kLzOVTv8C3b4R9sCb99MDHNf1D8XEZG2NNRU79Pj9tRxxx3HY489htPppKioCLs9+aPYjmFjX9k+n+iNN96gW7duSftcruR5sw5H8/Bww4j/m7Q9fO1Lu/OcHo+nzX0NDQ3YbDa+/vprbLbkHsHU1NRv3T6RnSk0yV5JO7KItCPj3eHW+QOSPuxnntkPw2bS8NGm+PwmCzJO6oWrTwYAzoL4X5SWZWEYBt3uiY8bd3RLJbylETPFjpnmpGr6ciqmLtm2WCyJkGI17lSaddvivNa2Yg9WdfLxsZrmqjyWP35uNBYjsr6pZWGHUCwRsIJrayAKb2V8CgacFTuR9BN6UvP6Giz/tiF7jngFQctuJu6/JyXM7T1SceR6cffPwJ7T9j8OIiKyb6Rm7N4c4N09bk+lpKTQv3//3T5+yJAhTJs2jcbGxkTQmD17NqZpMmjQINLT08nPz2fu3Lkce+yxAESjUebNm5co2jB06FBcLhcbNmxIGor3bTmdTqLR5LnHu2rvnhg5ciQzZ87ku9/9bot9Y8aMIRqNUlZWxjHHHLP3DyGym1Q9T7617YEpFohQ/9EmrHCM9FN7x8OMzSDrssGYaS7qZm1MPs9ITiyBFdVUvbgSV98MnPkpZF82GN8pvTBT7LiH5wBg5u8QLDw27N1Smucm7djLv1P9CFs3L/YeaeA0MVMdWE2R+NymnQNOtLkiYLQqCF4bOeEMJvY9klhVkOqXV+Meuq3bf8cepbpwczv2QGRjA/YcNylj8/f4XBER2XPdhgwjNSun3WPSsnPoNmRYB7WofZdffjlut5urr76axYsX8+GHH/KjH/2IK6+8MjHU7Uc/+hH3338/r7zyCitWrODmm2+muro68e9sWloat99+Oz/5yU946qmnWLNmDfPmzeOvf/0rTz311F63rXfv3ixcuJAVK1ZQUVFBOBzerfburrvvvpvnnnuOu+++m2XLlrFo0SIeeOABAAYOHMjll1/OVVddxYwZMyguLubLL7/k/vvv54033tjrZxJpi3qaZJ+ofbuY0JZGQutq8QzPxp7todu9RxKpDGBPd+FfXknjl6WkHd0Nw956Vk+dUIB7QEYihDkKUnAUpJB6WAFW1CIwsgrXwExq3yvGlurEPSiLiicXA2Av8uIZkk39zI2tXjtaH8bV3Y1hppB6eAEYBtWvr4botoIQ23qrWghGmRAdgW2LlyhNELHwf12OLcdNtCKQ6JUys1zEqoItz98N9e9uoP69DRTeNRGbR1XzRET2J9O0cfyU61utnrfdcVdfv1+LQOwJr9fLO++8w80338zhhx+O1+vl/PPP589//nPimDvvvJPS0lKuuuoqbDYb119/PaecckrSsLXf/OY35Obmcv/997N27VoyMjIYO3Ysv/jFL/a6bddddx2zZs1i3LhxNDQ08OGHHzJ58uRdtnd3TZ48mRdffJHf/OY3/OEPf8Dn8yV60wCmTp3Kb3/7W2677TY2b95MTk4OEydO5Mwzz9zrZxJpi2FZ1t7Pat9LdXV1pKenU1tbi8/n2/UJ0uX5l1YS80cwUxzUvllM/o/GgN1gy11z8J3ci7Rjurc4x7LivTp7O4+n9t111H+ymbSju5F2XA9K//AllgGWzcAIxrCi0eQS4duYGU4c3VMJLq7CVpgSL3luAvY2gtOObMR7lyzAbTYvwmuCrVsK0Y3xiniJcuQeG8SisKs8ZULhLydia2vBXxGRQ8z+/qyw6os5fDDtH0lFIdKyczju6us7rNz4/hKLxRgyZAgXXXQRv/nNbzq7OSIHBfU0yT7h2TZkLVzehGdYNtjiC93l3jAKe4671XOqX1xJrClCzpS9GwLhO7EXhsPE1TeD4OoaDJcd72F5NHywAVuel0hpU/zAbcUltovVhAjWVAEQrdp2jMUuA5OR7sSKxOLHhWPNgQnixSS2Zz878aCE2fo6UztWFNy+yeugavoycq/f95WaRESkpQETjqTf4RPi1fRqqknNyKTbkGFdpodpT6xfv553332XSZMmEQwGeeSRRyguLuayyy7r7KaJHDQUmmSfcuR6ST+ld+K1s1vbFWxSJhRihXZz8dpWhDbUkXJ4AZFyP/ZsN97RuaQeXYS7XzqV05Y2H9gUBafReqnw4LZt23el2qAhuU1mjptYRQDLH8YwTaxwK+HKhOiGeC+TOzobr/1DqqyfQayVH7FWTo81hDH7tV96VURE9i3TtO2XsuIdzTRNpk2bxu23345lWQwfPpz333+fIUOGdHbTRA4aCk3SaXZeTHdPRCr9lD++EO/4AvzflFF035E4CrzxSnkRCysYxTM2D9Nlo2lBOYbdJBYKYThNrFAsPrQu0Ep6aWgZ4mIVgfgXIQtr5woTiYOavwxaowlGxoK1+z9e9m4pmK4D77ebIiLS+Xr06MHs2bM7uxkiBzWFJjkg2bM95N8yFluOG98JPWn6aiu1767DluYk53sj8J3Wm7SjuhFYXkW4tJHsy4dgS3US2lRP+ROLcQ7wEVxYtV/aZtlSWlTva8HniFfcA3BA+gnxoYYiIiIi0vUoNMkBx4rEaJy3lZQx+Rh2EzPdRu3Kapz9M7Dqw5guG75JPQDwDM/BM7y5tGxocwPZlw/GXpBCTWQVgdU1EIrhOaIA94gcqv+xuPlGO6z11CqD+CK3iRfbRIEUO0SizcP/duQ0McJWYkSg4bQn5oSJiIiISNej0CQHnEiln5r/rcHZLS0xZyr78t0btx1YVoWzZxru/pnkXDWMxsUVVL+4HP/crfi/2Ip7dC42r53A8mqsmEWspp2yd4k8FAGSq94ZMQsraJF6ck8a3t2QfJ5t2yK7bhumz0HBTYft3oOLiIiISKdQaJIDjiM/hW73HoHh2PM5QDtX6gutqcF02LGMGIbLTsYZfbACUcKljbgHZ2MFItR/silePhwwMlxYNcEdCksY7ByYIF5O3d4rLRGYLMtic+MqCr19sMVc8efonkLOpUMxnRqWJwe32/8zj49WlvHOT44jK9XV2c0RERHZY/q0Jgek9gJTzatr8C/fvflKmd/pT/7NY8m/ZSxFPx9P7evFbP3z14RLGvEd2x3/kkrSjumWGH3n7plGt/uPJuv8gYlr2LLdOHqmgssEz7YfqZhFZH194phQLMDnFa9R6l8HwXjVCN9RPbQukxzUqhtDDP7lG7z0TQnljVFOefjjzm6SiIjIXlFPkxx0oo3hPSplbktrLvUd3FiH4bKRfnofYpEoka1N1Jc1YbjtWNEYtkw3TfPLSRmThz3Lgy3dic3X/JvzLb/9nBixFuXNXTYP5/a6BZthAxv4TuqFZ0jWt39YkS7qbx+s5o/vrkjadsKQ/E5qjYiIyLejnibpcIG1NfiXVOz6wN1kRZvrfVuRGJnn9sc7MjexLdoUpurlVcT8kV1eK/2U3liBKFhQ9tf52PI8YIEViEDMouGjTdS8sYb62Ztx9khLCkwAtkwX9iIv7tE58SF8O+4zbGBAzvdH4pvc81s+tUjXtLK0npe/3siDOwWm3BQbfzj/wF8PR+RQNm3aNDIyMjq7GZ1m8uTJ3HLLLfv0mlOmTOGcc87p8PvKnlNokv0mtLmB8n8tovp/qxILwlqWRcUTi6n89zKi9aG9vnZwQx2hLQ0AlD70NXWzNgJQ+2Yx5Y8vTDq2aX45TV+UEtrauMvrpozKI/uqofgXVWBLdZB1Tn88Y/Ow5bkxXDacPdNIP6UPDbO3JM7ZcbHb/B+OoeDHh5FzyRCc3dKSrm1mOOl+/zG4e6bv9XOLdHUnP/wxP3lxYYs1nA/rndvq8SKHCsMw2v1zzz337PE177nnnlavNXjw4G/d3t69e/Pwww9/6+vsa7NmzcIwDGpqajq7KV3WoR5u9xcNz5P9xr+8ikh9kNCWBtxDsvEMyiK8pRFbpgvPiJzEsLjQlgYMu4kjz7vb1657dz1mqoPsSwbjO7lXoope6lFFuAZlUvt2MWmTemB67KQeXoAjx4O79+6FFc/QbAyHieG0UfX8cqJ1IXKuH0H9R5twdU8j9fACUg8vAKDpmzKqX15N4a8mYBhQ+exyfCf0xNk9jbzvjwKg8tllOApS8B2v3iU5eAUjUU5vY86Sy27wyzN2r8KlSEeyYhbB4lpi9SHMNCeuPukYprHrE/dCSUlJ4uv//Oc/3HXXXaxY0dwjm5qa2uKcWbNmMWXKFNatW9fmdYcNG8b777+ftM1ub/vjXSgUwul0trlfRFqnnibZb0JrazBMEyIxIuV+AEyPHcM0aPhkM1YkRs3ra6l6bjl1Mzfs4mrNrHAMe7aHcHkTTYvKqXl5dWKYnD3bgz3bQ9M35YmeLMNh4h6YCYB/WSWRmsAu7+EekImrl4/0U3rj6JZKxd8XQtSi7uNNbL57Do1fldIwZwtmupP0s/tS8c9FNM4vixeMMJr/wQ2srCa4uobUiYW7/XwiB5pYzOLkP3/EmoqmVvcfPzifHlm7/0sRkY7gX1xB6QNfUvHPRVQ9v4KKfy6i9IEv8S/ed8PHd1RQUJD4k56ejmEYSdtaC027w263J12noKCAnJzm9Ql79+7Nb37zG6666ip8Ph/XX389xx9/PDfddFPSdcrLy3E6ncycOZPJkyezfv16fvKTnyR6r3b0zjvvMGTIEFJTUzn11FOTAmEsFuO+++6je/fuuFwuRo8ezdtvv510/qZNm7j00kvJysoiJSWFcePG8cUXX7Bu3TpM0+Srr75KOv7hhx+mV69erF27luOOOw6AzMxMDMNgypQpifvef//99OnTB4/Hw6hRo3jppZcS16iurubyyy8nNzcXj8fDgAEDmDp1apvva2NjI1dddRWpqakUFhby0EMPtTimurqaq666iszMTLxeL6eddhqrVq1K7L/nnnsYPXp0i2fp3bt3i2vde++95Obm4vP5uOGGGwiF2h6NEwwGuf322+nWrRspKSlMmDCBWbNmAfGg/d3vfpfa2tpv1YspLSk0yX6Te91Icq8ZTv6Px5J2dDcA7FlubOkuUicWYthNDLtJyvgCMs7rv1vX3PK7zyl7fAHBNdWkH98LV+900k/vgxWJxXuFaoMEVlRhOOI9V9HGMFa0uShD9YxVNM0v3617BdbU4BqYSaS0Ee9h+XhH5WLzxH97519SSd2sDURKGnH1TicWi1Hz6lqwINYYTlzDUeAlbVJ3DLc6deXg9OgHq+j7izdZX+Vv85gpR/buuAaJ7Ab/4goqn1lGtDb5g2m0NkTlM8v2W3DqLA8++CCjRo3im2++4de//jXXXnstzz77LMFg81qEzzzzDN26deP4449nxowZdO/enfvuu4+SkpKkUNTU1MSDDz7Iv//9bz7++GM2bNjA7bffntj/l7/8hYceeogHH3yQhQsXcsopp3D22WcnwkRDQwOTJk1i8+bNvPrqqyxYsICf/vSnxGIxevfuzYknntgizEydOpUpU6bQq1cv/vvf/wKwYsUKSkpK+Mtf/gLA/fffz9NPP83jjz/OkiVL+MlPfsIVV1zBRx99BMCvf/1rli5dyltvvcWyZct47LHHksLlzu644w4++ugjXnnlFd59911mzZrFvHnzko6ZMmUKX331Fa+++iqfffYZlmVx+umnEw6H27hq62bOnMmyZcuYNWsWzz33HDNmzODee+9t8/ibbrqJzz77jOeff56FCxdy4YUXcuqpp7Jq1SqOPPJIHn74YXw+X+K/3Y7/fWTv6ZOc7Fe2NCckT+0h93sjEl/7Tu7Flns/w7CbpB5RtMvrWeEYjh5ppIzNw9XTB0DqhEKidUEi1UGCmxuwZ3lIm9QdgK3/72tSjyrCd1x8aFzB7YdjOHb9u4Lw1kYq/rmInO8Nxzs2H2wGtW8WU/SriQTW1lDxj0XgMqh5cy22OVuINoRw5HmJRWIE19QkerZsPhdpk3rs1nslciA54aFZXDGhF/+bv7nd4xw2A/du/MyJdBQrZlHz2pp2j6l5bS3uodn7bajevrRo0aIWvVRXXHEFjz/+eOL18ccfz2233ZZ43a1bN2666SZeeeUVLrroIiA+D2bKlCkYhkFWVhY2m420tDQKCgqSrh0Oh3n88cfp168fEP8Af9999yX2P/jgg9x5551ccsklADzwwAN8+OGHPPzwwzz66KM8++yzlJeXM3fuXLKy4lVk+/dv/sXptddeyw033MCf//xnXC4X8+bNY9GiRbzyyivYbLbEOXl5eYl5O8FgkN///ve8//77HHHEEQD07duXTz/9lL///e9MmjSJDRs2MGbMGMaNGwfQam/Pdg0NDTzxxBM888wznHDCCQA89dRTdO/ePXHMqlWrePXVV5k9ezZHHnkkANOnT6dHjx7873//48ILL2zz+jtzOp08+eSTeL1ehg0bxn333ccdd9zBb37zG0wz+e/PDRs2MHXqVDZs2EBRUfxz0+23387bb7/N1KlT+f3vf5/Ukyn7jkKTdJhQSSP+xRWkTepO3fvrsflc1H+8ifQz+9I0byv2bA/ugZnUvFmMq286nsEtS3Ln3zKWmpdXE1helQhNEB/25zu5F3Xvrcee4SLjvAEEVlThGZad1MtjunZvQVxHfgp5t4ylftZGvMNzqP+iBOzxfzytYBTTayfWFMH0ObFnuYlWB8j9/khM554vuCtyICmrD7CuookrJ/bizUUlrCpru8DKsEIfvzhjCKN6ZHZgC0XaFyyubdHDtLNobZBgcS3ufhkd06gd7BiAotEowWAwadvOgWjQoEG8+uqrSdfw+XxJr7cHhe3cbjdXXnklTz75JBdddBHz5s1j8eLFLa7TGq/XmwhMAIWFhZSVlQFQV1fHli1bOOqoo5LOOeqoo1iwYAEA8+fPZ8yYMYnws7NzzjmHH/7wh7z88stccsklTJs2jeOOO67dkLN69Wqampo46aSTkraHQiHGjBkDwI033sj555/PvHnzOPnkkznnnHMSYWdna9asIRQKMWHChMS2rKwsBg0alHi9bNky7HZ70jHZ2dkMGjSIZcuWtdnW1owaNQqvt3kI8xFHHEFDQwMbN26kV69eSccuWrSIaDTKwIEDk7YHg0Gys7P36L6yZxSaZL+KNoaJVPhx9fIRqWgisLSSwMpqYg0hFvfbxNq0lVw3+g7CG+ox3PHAEany0/T1VoxLBuEekEn5E4tInVCIZVnUvLwae64HV590wuVN1Ly2FnuWG2ePVKpfXEXmxQPxDM0hsKyKqv8sx0xzEpu7lbTd6MXyL6mk5pXVFNwxDsNhw5HjwfJHaFpQRrQ2SMGt8X90PEOyaeqTTjQcI+2Ybrj7pBMua1JgkkPCc19s5P9mrgQgarV/7B2nDOKo/m0PfxHpDLHdrNy6u8fta/Pnz098/cUXX3DnnXcm5qtAy0DkdDqTempak5KS0mLbtddey+jRo9m0aRNTp07l+OOPb/EBvTUOR/Ki7IZhYFm7+MtgBx6Pp939TqeTq666iqlTp3Leeefx7LPPJobgtaWhIV5N94033qBbt25J+1yu+Jzn0047jfXr1/Pmm2/y3nvvccIJJ/DDH/6QBx98cLfbvqdM02zx3uzp0L2dNTQ0YLPZ+Prrr7HZkj937O28ONk9Ck2yz0UbQmz9f/PAZpB6ZBH1szbS7Z4j8Y7IxTsil+C6Wkyvgz6OLAJVDqI1wXg1vRQH4fImsi8bQsWTiwgW12LP9WDYDOo+3Ih3dC44TNzDswmuq8Wwm4Q3N+AZnIVnZB6BVTXYfC4Mu4lnZA4Fvcdjum1EKgME19bg7JWOYWt7qIWjMIWUI4vAbhILRojWhsj57nAa55YS80eTQpGrXwb2HA/uAfHfoDuL9BeVHPz+9uFq/vHx6l2Gpe3K64O7Pkikg5lpu1c5bneP29d2DECbNm3CbrfvMhTtjREjRjBu3Dj++c9/8uyzz/LII48k7Xc6nUSju79QPMQDXVFREbNnz2bSpEmJ7bNnz2b8+PEAjBw5kn/9619UVVW12dt07bXXMnz4cP72t78RiUQ477zzktoFJLVt6NChuFwuNmzYkHTfneXm5nL11Vdz9dVXc8wxx3DHHXe0Gpr69euHw+Hgiy++oGfP+PD+6upqVq5cmbj+kCFDiEQifPHFF4keq8rKSlasWMHQoUMT9ystLcWyrEQxjR1D8XYLFizA7/cnAuXnn39OamoqPXq0HN4/ZswYotEoZWVlHHPMMa0+5978t5Nd00Bz2ecMh0ksFCVWFyKwooq8m0ZjxSwCq6qxLAtX73QMp0lvunNWv7OomLaEymeXUfnCCsoenU/T4gqCa+to+LyEyqeWkja5B9gMQpvqscIx6t5YR/3MjXiGZOPo66Pm9TUYdoO0Y7tTMW0xDXO2YBgG9nQXpsuO6bJR/o9FBNfUABBcV0vF00sp+cOX+FdUJdptz3Ljm9wDwzCo/3gz5X9fiBWzqH5lTVIxCYDUI4sS85ZEDmafrCxn/O/eZ9Gmap6fu5FwdOcVmFrKTnHw0R2TufBwzeeTrsfVJx1bevuByJbuwtXnwFhTLxKJUFpamvRn69atu3Xutddeyx/+8Acsy+Lcc89N2te7d28+/vhjNm/eTEXF7hfGuOOOO3jggQf4z3/+w4oVK/jZz37G/PnzufnmmwG49NJLKSgo4JxzzmH27NmsXbuW//73v3z22WeJawwZMoSJEydy5513cumllyb1TvXq1QvDMHj99dcpLy+noaGBtLQ0br/9dn7yk5/w1FNPsWbNGubNm8df//pXnnrqKQDuuusuXnnlFVavXs2SJUt4/fXXGTKk9aUQUlNT+d73vscdd9zBBx98wOLFi5kyZUrS/KIBAwbwne98h+uuu45PP/2UBQsWcMUVV9CtWze+853vAPFFacvLy/njH//ImjVrePTRR3nrrbda3C8UCvG9732PpUuX8uabb3L33Xdz0003tZjPBDBw4EAuv/xyrrrqKmbMmEFxcTFffvkl999/P2+88Ubiv11DQwMzZ86koqKCpqbWK5vKnlFokn3OdNmxZbqBeCUiy4TQ+joqnlhMw+cl+FdVUfrHuZQ+9BXB9XUYDhN7rgcMsCIxat9Yi6PAixWNkXXZYFy904mUNhGtCeHqEx+WkHvLWCpfWEFwSSVmpgvDMKh8eimGw0aotIHyaUuo/u9KItUB2JZ3rB2/2w0L72H5OHLjY4h37j5PO6Ybud8fiWEaZF82mOzLvv1CgSIHIrvNoLwhyFmPzGFLTRPhXfzycnT3dN66+Vh6ZbccDiTSFRimQcZZ/do9JuOsvgdEEQiAJUuWUFhYmPRnd4bZQTzA2O12Lr30Utxud9K+++67j3Xr1tGvXz9yc3d/ceof//jH3Hrrrdx2222MGDGCt99+m1dffZUBAwYA8V6Qd999l7y8PE4//XRGjBjBH/7whxZDzb73ve8RCoW45pprkrZ369aNe++9l5/97Gfk5+cnSqf/5je/4de//jX3338/Q4YM4dRTT+WNN96gT58+ifv+/Oc/Z+TIkRx77LHYbDaef/75Np/jT3/6E8cccwxnnXUWJ554IkcffTSHHXZY0jFTp07lsMMO48wzz+SII47AsizefPPNxBDGIUOG8Le//Y1HH32UUaNG8eWXX7Zaye6EE05gwIABHHvssVx88cWcffbZ7ZYJnzp1KldddRW33XYbgwYN4pxzzmHu3LmJXrEjjzySG264gYsvvpjc3Fz++Mc/tnkt2X2GtScDUfeRuro60tPTqa2tbTE2Vw4OjfO3UjdzI9FyP66BGWRdMJCyxxcQrYoP10k9thuuvhnUf7IJu89F1sWDqPtwI41fl5J3w0jMFCdELQx7POmEy5oIVzRR9fQycq4fgSPXS80ba/EvrCD3uuG4+mRQ98km6t4sToQkW6aLaHWQrMsGYQVjeEbmtloIworEKPn9F3jH5WOYJumn9iZSFaD2rWIyz+2P6XW0OEfkUHLjM1/xzuKttNfH9NOTBvC9Sf1w2TW3T/aN/f1Zwb+4gprX1iQVhbClu8g4qy+e4YfGXLztoWju3LmMHTu2s5uT5De/+Q0vvvgiCxcu7OymiACa0yT7ScrofFJG59M4v4zGr0rY+uh8Yo3b/mHy2LBluLBnughvqCfjhvhvgbyjc6l7fz2RsgCuvi5isRh1763HWZSC4bJT9cwy0s/qS7ikkcqpSyj4+Xg8o3MJbWoADBrnbMGW6cZR5CW8pZGM8wZQP3MDtW+tI9YUIdYUSZQih/g/mMEN9XiGZ5MysRDTYye0oR4AKxoj1hTGinX47xREuhTLsnhnSfuByWs3+MEJA9s5QqTr8QzPwT00m2BxLbH6EGaaE1ef9AOmh+nbCIfDVFZW8qtf/YqJEyd2qcDU0NDAunXreOSRR/jtb3/b2c0RSVBPk+x3m375KcQscJgQav7olffjMQTX1JAyoRDTaaNxbinVr68l+4ohNMzeTHBlDThNPAMzCRTX4sj3kn3ZEOpnbQTToOGTzYnyXfZ8LzF/hFhdCHuhl2h1ECsQH0eUfnof7IUpRKsDpIzNT/ReVTy1hNDmBsxUB7HqIPm3HYYttXMm/op0VUu31LGusp4fTJ/f6n4DeOvmYxhcqL/LZd/SZ4X9Z9asWRx33HEMHDiQl156iREjRuz6pA4yZcoUnnvuOc455xyeffbZFsP2RDqLeppkvwquq22uSxxL/l115YsriJb7MdOcpIzOwzUwk8xz+lM5bQmG08SwGaSf1oea19ZipjqwglHK/u8bbBkuPCNzMNMcxOpDOPtmENnahKtvOv4F5RgOG6bXQTQQJeXoIlKPKiJS4afyycXYsz2YbhvObmmYHjtWMErm1UNpnLMFw9H6X8xWJEbTogq8I3Pbrb4ncrAJhKOc+ddPaKvDdUSRjzyfW/OXRA4wkydP3qMy4R1p2rRpTJs2rbObIdKCQpPsV46iVNLP7kf9rI0t1ryIlsSrudS+UUz9hxuxZbsIrauHFDuOPC/pJ/cmXNqIvXsKRjhG6pFFNM0vJ7i6hmhdkFhdCDx2QqtqMLx2HD3S8C+uIOaPkH5GHxo+3QwRC8NmYs/zkn5aH2rfKia8qYH828cRC0bJPLc/rm5puC4c1FrzAQhtaaD6hRU4i1Jw5OvDoRw65q2vajMwnTmikEcu7zpDekRERPYnDc+TDlP6t2+IbG6A1qpveWzgb95hpjuJ7TA5116Ygmd0LvVvrQMDDJeNzAsHUvXsMoiBs4+P0No6cBrY0lxEKwPx4xwmhb+aSHhrI+V/W0Dqcd2xp7up/2gTViCCe0QOWecO2GXbY/4Ipke/Y5BDR3F5Pcc99HGr+8b1yuSXZwxhTE+V3Zf9R58VRKQr0adA6TC5Vw2j7v31hEoaCa+vT97pT05SOwYmgEhJI/UljQB4D8/DMyyXuvc3xAOYjXhgAghZYBqYOS5iFUF8p/bBdNqwmiI4B2SQcnghjkw34bImGj8rwbAZWOEY2I3EwnOxUJRIWRPO7mmJ+yswyaGkwR9qNTAd3S+L3547gt45WsxZREQOLeppkg4VbQgRWh9fuJZ0B8GvyvfuQgaJ0uJJbEZiDpXL/Jq07iuoavwuscp4qXPDY6PgtnGENjVQOW0JBT87nLJHF5B2TDfSjo1X1muYs4WaN9bS7b6jNIdJDilldQFOffhjqprCSdvPHlXA947ux6geGZ3TMDkk6bOCiHQl+vW5dJiKaUsIrq/FCkRJOaII/+LdX2G8hbaiftQCZzw4mVYTsZINxMLBxG4zxYHhtBHe3ED6WX2xZ7jJOLsfzm7NvzlPGV+Aa0CGApMcUkKRKON/PzNp2w8n9+aao/uTnerqpFaJiIh0DQpN0mFcAzIIbqoHK0qkMdD2WhguEywrPtRuL9gz3ETK/Pg5Bn/smMR2w2GSeU5/TKeNaF0Qhzde1ME7InkRQ8Nu4sj17tW9RQ44lWv4759+xG3cSLwL18AA1t5/emLIqoiIyKHO7OwGyKEj7ahu2NKcYEJwQRWxQARHj1SMTCe2fA85PxgJHhuewdkU/nxC84ntfW7b+TvYBpEyf9Imx8AMXMOywW5Q80YxViSGPceDd0zePns2kQNRKBJj0j9WcBs/IP7DZPC9I7pT/IczFJhERER2oJ4m2e/CpY3YfE5Mr4Ocq4cSXFtLw+zNuPplkH5yb7bc/wXRhgj1723AiFhkXjCQrQ9/nZi35ByYQWhFze7dLEryfCenSbS0iXBdvLBEJNREwxcl1L27HmcvH85uaVjRGKZTi+fJoeWV+Zu5+fn5217FA9K6P5zRae0RERHpytTTJPtdxZOLqf9kMxAfOpcyNh/3wCxi9WGqXlqJLcOFd0wesWCEjO/0I9YQipcM3xZ8QmtqYeehfM5t37rJ6+XG7TiqLxQj5t+hEp/dpPa1tdi6peLslkrtO8WUPTp/Xz2qyAGhIRDhZ/9dlHj9yKWjFZhERETaodAk+136GX3xjo0PhaubtZHQ5gYc3VJpWlSOf0kltlQnTXNLCZc1Uf3SKhrnl+E7s3fzBWwG21fYdA/LwpblTuyy99+holJqGx2n26uZ24Fg/EW0JsDmu+bg7J2Os2casWBri0eJHHyCkSh3vbqYUCSKAXz9yxM5c1S3zm6WiIhIl6bQJPtd7VvFNH1TBoB/QTnhkkbCm+rBNDBMAzPDib0gBcMRHyJX/8EG6j/YlDjfntVcuSv7ksHYMlwYHjsYENncCK5tQ+saIq03YHtv1A65yKoJYabYsWe68C+sIFoT2GfPK9JVbaxq4juPzGZ1WQOXTujJKcPyyU5TZTwREZFd0Zwm2e/yfjQGKxQl2hgm/+axie0pR3ej9Ldf4J9fgSPbjVUfxtk/A9NjElhdh62bl+jmJqINYcw0B7H6MIF1tUQq/RgWWDYDe46byMb4orfOfumE1tdCG9lp5zLlsbow1S+touCnh2NLcWBZlia/y0Htg+VlbKr2c8/ZQ7ngsB6d3RwREZEDhnqaZL+zpTio+s8Kql9ZTbRhh/lF4RgY4ChMIfvqYRheO6HVNQQWV4E/QnRzU/y4mIUVjuE7pRcNH20mVhsi1hAiZXwhkY2NpBxdSPb3R5J10SDcQ7LjJct3lX2cJrhN8JhEqvyUPb6AiicW77f3QKSzzFy2lc/XVnLh43PwhyJkeh38bdaazm6WiIjIAUU9TdIhsi4YSMOXpZQ+MBffSb1IO7Y79kw3vpN7EakOElhehbNbKlbUIm1yd/zLqwiuriFaE8AKxLClOXH1TqfunfUAGG4bxrbI3zinFNProPLvG5pvaDNwDcokuLRq22t2mNtkQCg+Zs+026h+aRWRrU14dlqvyYpZYKFFbuWA9tisNQwr8tEzK4WcNBeTBuVy60mDOrtZIiIiBxSFJtmvYv4IwTU1eIbnkHZMN2KBSFIlPN9xPal9bz3hzQ04e6dT/956KkvqwZ9cFs+yQ8XTS/BOLMDZPQ1nfgqNC8u33cSi/t14YLIXpmDPdJF+Vl9C6+qINYYJr69vDkxmfPFaKxLFPSqH0Lo6rMi2AOV1JN2zesYqorVBcr83Yv+8OSId4D/fPwLTIDH0VMPyRERE9pyG58l+FVhRReVzy4kFIphuO5GyJkIb6tn6yDeEyhqo+u9K7DnxHqfUY7qB00gEJiPHmbhOrDGCFYrR9EUpngGZOHuk0TS3tMX9PEOz8AzNJloRoObVtYTX12OmOeLXBbDA9NjxTiiIX7c2hNUYnwTV+EUJjfO2EtrcQKTST+qEQtImdd/P75DI/vPCVxs5/7E5mqsnIiLyLamnSfYr7+g8XAMyMd12rEiMcGkjoQ11mD4XtW+sI7iimqZ5W0k5phuNc0ogFK/WYHjtpAzJpeHrUmiKQjgKFthzPZT9ayFWIIYV2KlMuN2g8YvS+LC6SCzRgxSrD8fLljtMiFlEq4MEllYSawgnnW6kOfAMzqJi6hLseV6yLhzYIe+RyP4yKD+Nk4fld3YzREREDnjqaZL9zpYSH/Zm2E0Mlw1iEKsJEirbVughCo2zNifmGW3X8NkWTGe8nLizdwZmmhNHQQqxhgixHQtKAKQ7IWIRC0awiGHvnkrmZYOb90eteOGJaDyUxerDydX0TLAawliRGDnfHUbGd/rt0/dApKOFozEWbqrhqiN6d3ZTREREDngKTdKhcq9vnh9kVQdb7Dcy40PyrKYIRCw8Y/JIO74Hdp+TWGOYwIY67OkuXCNz4wUdto86qg3Fvw5b0BQjXFxHYMciEO0xgRi4+mVgpjoxvY5EWBM5UJXUBPjN68tYUVrX2U0RERE54BmWZVm7PmzfqqurIz09ndraWnw+X0ffXrqATXd9mhiK1y4DXIOysEIRQmvjH/684/Np+nJr++e5bfGCDzsMwbO2/c/02FsUmsCEwl9MwJbqRORgEY7GcNj0uzE5MOmzgoh0JZrTJJ0i78YxNHxZQqw+RGBxZdsHWhBcXgXu5p6fwIrqXd8gEMVipzlPGBg0F5rAZUJw29cxFJjkoKPAJCIism/oX1TpFM7CFEzDiM8hum4EuT8cHa9y19qxwzIhuC0AGfGKdwk7fAfbi1Kaq+TZTVwDMzA8zWHLYKc1b4M79DZ57cSCkW/1TCIiIiJycFJPk3SYpkXlRKuDpB7TDcMwyDg7udiCZ0wejV9vhcbk8BLZ3NhctGHnEX0xEnOSIlsam7dHYwTX1e7eEECApgjRmiBmvn4kRERERCSZPiFKh6l+eTVWU4S6mRvI+cFIXPmpADTO20rjl6WkTeqOFYzhX1yOs286odU1WECsJoS9wEuktKn1C8da2WaBYbdhRSLx/TsOxdvOoDmEGRAL7jycT0REREREoUk6SO3sTViRKNgMrGAU/9ytmONNsBvUf7oZqymC4bARrQ9iNUZIP6k3zsu9WJEYlc8tJ7CknXlPbbCaduix2jkwQXKvlQW2NM1pEhEREZGWFJqkQ9S/Wcz2ugz2vHUEv16Jf8EAovUG7qFZeI7pRtM3ZRCKknFWX8Ib64lWBfAMziLtqCICSypx9k8ntL4+vt6S14Sm1rqY9pLXhj3Tve+uJyIiIiIHDRWCkA5hy9keSKKES7phbH0NT0EpAMH1dViBKJkXDCDnmhE4e/qoe389wbU1ADh7+DBTHUQqAhCOkXZiT4p+dcQ+bZ+7t8rZyoHpo5Vl/Oy/C+mE1SNEREQOGeppkg6ROrEbtW8VY891k5K1HnPE36l+fhXOvmlEq0OkHlEUP9AAKxzFnusl/ZTe8U0Ok/xbxoLDJLS2FlefdOpeLybj3P6kTiikcXE51S+uaq6wtxe8Y/P3wVOKdJy/f7SGQDjKXz9Yjdth8ttzhmO3Gbs+UURERPaYQpN0CCPmJ7j4NRpWv4X9xz8ivdAk7ZgiXGVPY55wMgD+ZZWYLhuuvhnk9s1IOr/y6aU4e6TROHcrvhN6YrhtmM54OfGU4bmkDM+l/vMtNH61lcimhvi6TsFoy2p7rXEYeIfn7uMnFtk/Fm+uxWkzee7LDZTXB4nELJ64+nDsWpNJRERkv1Fokg7hGVVAtORj7IWFVP7jn1T/+1nSznwAZ2oQkxIiFRU0frmVaH2IzPMG0PDJZmyZLryjPBhOJ56xeZgeO/lHdcPmc2LYW35ATJtYRMrhBVQ+tQTfCb3wL67Av7iC7KuGEiptxPJHCBbXknJsN5w5XqxgjMp/L8VRmNIJ74jI3rn71SVYlsXGKj8uu8ENk/oyoW92ZzdLRETkoKbQJB0i1tiAmZ2Nd+xYPMOHYfOl4zv1cOBwNlzzPUKb/oG9sBBHnysJbawHAxzdUtn04x/i6t0H1/CriIVjpIzKa/c+ps0k95oRALh6+cg4oy8AzsJ4efO0I7s1H+yB3O+PxDA1pEm6lrpQHU7Tidsenwv4VvFb/PrTXzM651i+M/omhhdlcN5jn/Gvq8dzZP+cTm6tiIjIwU+hSTpEYNEiwqtXU7t6Nd7D/4h7xPDEvoL77qNh9qdsve83BJcvJ/OC12haWEH6GX3p9sADGF4vtoxs2A8T3bcP8RPpKt5Y+wbTFk8jx5uDgUGamcb8jV8TJMjnW99j6cq+zLn5Jt748dEMLVQBExERkY6g0CQdIu3EEyE9HdPjoeSnd4LdTq8nn8A1YAA2XxpVU6cB4B07Fu/wXDx3Z2E4bNhSemNZFuFNm3D26NG5DyHSAf7w5R8YkTOCTzZ/0mJfuHoiFTWZAAwrSu/opomIiByyNHNYOsTGO+6A2lpipaXxHqNwmM0//wUbb/oRW37+C3ynngrRKA1z5lD//kwMR3MPUMPMmaw5+RTCW8s68QlEOsad4+9k9pbZmK389WxLWcHlR7Y/RFVERET2PYUm6RA7Bx5Hr15ENm0iUlZG3q0/wTVoIEZaGoRCbL79dsofeZSyhx+OH9utG1gWoXXrOr7hIh3sjD5n8PZ5b5PiaFmgxOaq5u5TTuqEVomIiBzaFJqkQ6SMGpn0Orx+PWZREVY0ytozz2LLT+/Eqq8Hy8IKBGiYPZvKf/6L5eMnYC8ooPeLL+Idf3ir165+4QU2fv+GjngMkf3OMAwiVoT6cH2LfWNyxnRCi0REREShSTpEa/OR7Dk5GHY7jj59sBUUYGY3l00OfPMNRKNgGNhSUvCMGI5htF7lztmzJ54xo/dX00U6XI+0Hrhsrhbbv6n4hktev6QTWiQiInJoU2iSDpF50UV4J01K2hZauJDwxo2E164lumkTserq5p2GATYbKUdMxHA62712ysSJ5NygniY5uHxw4Qec1eesFtu9di91obpOaJGIiMihS6FJOkz+T+9ouTEWA8BMT49/7XLFA5NlYXq99Ng2r0nkUONz+fj9sb9vsX1B+QKuePMKpi+b3gmtEhEROTQpNEmH2XDFla3vME2saBQzOwt7Tk5iPaZYfXxOR3hrGdX/eaGjminSpQzKHJT0OhQL0RhuZFnlMk7772mEo+FOapmIiMihQ+s0SYcp/P3v2HTjD1ruiMXAbidWWUXM4wHA8HqxmppYNmQotu7diG7cRNopJ2N6PJiulnM9RA5GkViETHcmduxEiCS2v33e22xp3ELPdT2xm/prXEREZH9TT5N0GMPtbnOftX0+k9+Pa+BAekybtm2HRXTjJgBWT5rMxuu/v59bKdJ1hKIhllctJ2bEkraf/fLZLK9cziWDL2mzQIqIiIjsOwpN0mGitW1MXjeTvw2Da9bgHToEbLak7VYoRM4PbtxfzRPpcrwOL3+a9CdiVnJo2tS4ids/vp07P74Ta9twVhEREdl/FJqkw6Sfegr93n8ffD7Y8ZfjseQPhNjthEpK4iXHdwxUlkVw06YOaatIVzGxcCL3HHEPgzMHt9j36eZPmVs6txNaJSIicmhRaJIOZZgGht8P7f1yPBhk3XnnY6anY6SmJjY7hw2l9qX/Uvb//t/+b6hIF3L+wPP524l/a3XfDe/fwD1z7uGr0q8ACEfDfLbls45snoiIyEFPoUk6lKOoiL5vvtn+QTYbZmYmltOB1dCAa/BgnP36YTocBL75hurnnk8calkW4a11WFENUZKD18z1M7n8zcvJc+e12BeOhZlXOo8ZK2cA8EXpF1z/3vVsbtgcP6CquGVvroiIiOwRhSbpcPb8HT74tTKJ3d6zJ5ENG3B16w4uF6HKSvB6cQ4ciJmZCW4X0br4/KiyPz7I2u9cSNO8rR3VfJEOs32+0sDMgUwomEBZoKzV44rri3mt+DUmPT+Jh79+mH+f9m/mls5l0aZPsP46FmvRix3ZbBERkYOOQpN0uMCiRc1hacdJ7Nu2RYqLAXANHQp+P1ZFBaFFi6h74UVi1dXEysqpmh5f2DP9nO+Qe8uP8IzK7dBnENnfPt70MROfnUhtsJYevh58svkTHIYDt631KpQmJh67hxx3DuVN5fx69q+5bOYPuCY/h0nzfs/kp0bzyupXOvgpREREDg5a4EM6XLSmBjM7m1hFRdJ2MyeHWHl54rX/88+xZWfFq+5FIngmTsQwTfzffEP1M9NxDxpM2vHH4R40sKMfQWS/G5Y9jB+P/TFpzjRWV6+mKdKEYRgEooFWjzcx2dy4mc2Nm5ldMjux/SuPG6woYPDE4if4Tv/vdNATiIiIHDzU0yQdLu2EE+g99UmwJ2f2HQMTgHPAAKKVVeB0AvEQZc/MZODsTzEcDpq++abD2izS0bI92Vw06CIenPsgl715Gf6In58e/tM2e5p2XPy2hW29uN1SulEXaqP0v4iIiLRJoUk6hWvAAPp/8nG7xzS88078C8NIlB6ve/ttSu65B3teHlVPPIF/0eL93VSRTlMTqOGZZc/gj/jpm96Xz0o+Y2j20HbPMWg5T7BHWg/G5o7l0y2f8tbat/ZXc0VERA5aGp4nnSa0atXuHdjY2Px1NErdm29BJELKUUfh6NVz/zROpJNd8volhKNhUu2pNEWbsLD47rDvcsdHd7R7ntVKPf/ypnIqGuPDYf+x8B+YhsmFgy7cL+0WERE5GKmnSTqNd9w4Cn/328Twu91it+Po1QvT5yPlhONZffQx1M+atd/aKNIZYlaMHE8OK2tW0hRtwmPzEIlGWFe7jnxvfqu9Se0JRAP4Y34A6oJ1fL316/3RbBERkYOWQpN0GsM0yTj/fPq9++7uneDxQCRCeM0aME1cffpQcNev8Y4Zs38bKtLB/vjlH/lo00cMzhpM1IrSEGlgY8NGfjXnVyysWNhqb9LucJgOJvWYxLHdj93HLRYRETm4KTRJp3MW5OM7++zWd9pszV+Hw4kvYzU1EA6TccEF2NLT928DRTpQNBblldWv0MfXh6ZQE719vbHvMJI6xt4vVDsmbwyBaICyptbXexIREZHWGZZl7d2vLL+Furo60tPTqa2txefzdfTtpYuq+Ne/KH/wofYPstshEq8SZrhcDPxsDqbX2wGtE+k4wWiQG967AYBHjn+ES9+4lOK64nbPSXekUxuuTdrmwEGP9B7UBmu59bBbObPvmdSGasl0Z+63tovsK/qsICJdiXqapMtIP/NM3KNGtX9QpLmscu5PfqLAJAelL0u+ZG3tWm4ddytRojRF4vOa2lMbrk3qkQI4odcJmIbJ4KzBLKpcxMurX+bY/xzL9KXTOf/V86kN1LZxNREREdmRQpN0GY6CAnr+8x+kX3QRuFztH2yaLdZ5EjnQ/XvJv/lgwwf0z+hPtjubR755hJnrZ1IVqEpa1NaGrdXzd1yrycDA7XCT5c5i9pbZzNs6j78v+Dt2w8788vmsrF7JnC1z9vsziYiIHAwUmqRLsfl8FN13L0MWzMfZXoEHhwPvyBEd1zCR/cwf8fPnr//Mn7/6M+FYmPMGnIfL5mJVzSpuPexWeqX1SoSlKNFdXm984XhmbZzFuIJxnNb7NJ49/Vm+N/J7DM0eyoKtC3jipCeoClbx8qqX9/OTiYiIHPgUmqTL6vv0U9DW8LtQiFgo1LENEtmP/jT3T0SsCKFYiPNfPZ+HvnqI3r7ejModxarqVbgdblKcKQzLHobH7uGigReR6Wp9bpLLdLG4bDE1wRqmLZ7GR5s+ivdUWbCwYiEl/hLu+OQOvij5gmeWPdPi/Ie/fpi/fvPX/f3IIiIiBwyNb5Iuy3A4yDzvPDwTJhDesoXyBx6A2LbKYZZF9bPPkTJuXOc2UmQfSbWn4jJdnNrrVJ5e+jRRokxdMhWv3UswEuSKoVcwoXACv/j0F/x03E+59/N7yffmk+3KpjJYmXStYCxIkCAATZEmjik6hivfvJJ1desA+NWEX5HuSueOj+ML5VqWhWE0r/1UlFqEaTT/Tm3n/SIiIocaVc+TA0qwuJiqp57GNXQo6aeegk3fP3IQuPG9G/l0y6cAuAwXXqeX6mA1AKmOVNw2N7+a+CsC0QDPLn+WtbVraQg1kGJPoTHSuMvrF3gLKG0q5YL+FzBj9Qwy3BnkufNYXrMcgI8u+ogsT1ar59732X2srl7NreNuZXTe6H3zwCK7QZ8VRKQr0fA8OaC4+vSh8J67ybroQgUmOSi8vfbtRGDy2D04bA5qgjVM6jaJvr6+fKf/d6gMVHLbR7dx95y7eeT4R7h44MXYsNE3ve8ur5/jzqG0qZTuKd15de2rjC8Yj8fuYVXNqsQxH278sM3zz+53NlubtvKTWT/59g8rIiJygFJoEhHpJOtq13HHJ/Ehcr3SevHnyX8mNyWXXr5eWFgUpRVx3YjrMA2TQVmDePT4R3mz+E2mL5vO+QPPZ1PDpl3ew2Vz0TOtJyVNJfx4zI8ZlTeKodlDiRIl152Lw3QwY9WMNs8fnTeam8bcxI2jbuSpJU8xY+UMIrFIm8eLiIgcjDSnSUSkEyyrXMZ1b1+XeG037Pxj4T947MTHCEQCpDpSyU/JB+Ct894i25PNSytf4tTep3J6n9P5wfs/SAzha42JSe/03qytXcs/TvwHz614jn8s/Ac208bY/LHYDBvlgXIgHtgCkQBuuztx/tvr3mZc3jhyvDl8uvlTllUuY3P9ZkJWiM9LPufeI+/F42h/7SgREZGDhXqaREQ6wdQlU6mNNC8uu6ZuDU3hJlw2F5+XfM68snk0hZsAKEwtpCHcwMPzHmZ51XIy3Zk0htufyzQoaxCDMgcxMGMgteFa/BE/LruLXG9ufFjfDrNZXyt+jS2NWxKvK/wV3PnRnZzw0gksLF9IaWMppU2l2Gw2BmQM4K11b/HLT3/JjFUzWFK5ZN++MSIiIl2QCkGIiHSCUCTEYdMPS7xOs6dx+/jb+ePcPzK5+2RKGkuoC9Xx8nea11H658J/EogEsLCYumhq0mK2O8p151IeKMfAwMLCY/NgM21cN+I6nl/+PKZpMjp3NG8UvwGAz+Fj9mWzWVC2gEA0wITCCSwoX8C7696lpKGEDzd+yHkDzqMx3MjHmz4mEAngtDmJWlEMw+Dp055mcNbg/fuGySFHnxVEpCvR8DwRkU7gtDtJtaXSEG0AoD5SDxbcOOpGLh9yOZsbNlPaWJp0zsrqlczZMoe6UF27164N1VLkLeLWcbfyl3l/YWPDRojC/5v3/7AbdiJWhFN6nkLvtN5sqN9AUyTeo3XjzBuJxqJ8cNEHPLf8Od5d9y7hWJgfj/kx1428jvV168n35jN1yVTCkXDifhe+diEmJn18ffjriX8l35uP0+bcx++YiIhI51FPk4hIJ6kN1jJn8xx+8ckvEr1G/3fc/3Fcz+OSjptfNp+5pXN5fvnzlPnL2r2mw3DQ09eTtbVrAbCwEkFpu8GZg1lZvZI8b15zW0K1OG1OspxZFNcXc8PIG3h84eO4bW4sLGZeOJPnlz/P9GXTsRk2KgIVbbbh9nG3c/Wwq/f4/RDZkT4riEhXojlNIiKdJN2Vzml9T+OHY3+Iy3QBcMuHtzB++niuePOKxHFPLHqC//vm/3ar8ELYCrOmdg0umwtr28Sl7YHJ3PZXfjAa5M+T/8wFAy/gvQvfoyHcgGmYhKIhLhtyGQXeAh5f+DgO00EgGgALHKaDN4vfZGTuSBw2R7ttGJ8/fq/eDxERka5KoUlEpJN9b/j3+PiSj3n57JcZljOMLFcWJ/Q8AYBQNMSkHpN44YwX+NOxf2px7vawtbNANNBi26m9TgVgZM5IXHYX14y4hkp/JQ3hBg7PP5wpQ6ewoWED71zwDu+c9w590/tiYtI3I74e1F1H3EWFvwKbYeO64dclXdthNAepi9+4OFHEQkRE5GCg0CQi0skMw8Dr8NI/sz/PnvEsb1/wNt8d/l0AimuL+e3nv8U0Tf6x8B8tzo3Gou1e22PzYGBgM2xkeDIAeGXtK9z4/o08v/x5llQsoW96X4ZmD2Vo9lDmbZ3HpvpN3PrRrThtTq4edjXPnfEcbxW/xbXvXsstY2+hIKWAd9e/S4o9JXGfsNU8x8lu2qn0V+6Dd0ZERKRrUGgSEenCBmUNYs6lcxiUNYjT+57eYn9bFfS26+vrS447B8uyyHZn8+fJfwbAaTp5aeVL/PCDH9Lb15tlVct4fOHjPH/m8zw872FiVoz7jryPW8fdytytcxmZO5LXznkNDJhXNo8Hjn0AwzBavefb579ND1+Pb//wIiIiXYSq54mIdHFeh5f31r/HQ1891GJfX19fvHYvS6qWJOYw7Wh59XJixJgybAqj80ZTlFrE6NzRPDjpQSr8FXyy6RPOH3g+P5z5QzLdmdz32X2MLxjPz8b/jFfXvMpbxW8xbck0zh1wLr+a+Cu6p3Xnw4s+5G/z/0ZDuCHpXvmefApSC5IKTIiIiBwMFJpERA4APdN6cnS3o3lj7RvYsVMTrgHiC9FGYvHeJqfhJGSFks6LEh++F46G+d673+PKIVeS5c7CZtoYljOMYTnDAJh66lRsho2/fvNXMt2ZeO1enl32LBMKJ5DmTOO6Ec1zmLLcWVw99Gp6+XphM2yc2OtEBSURETmoqeS4iMgB4put33Dde9dxeP7hLChbEF/bifhQO4BQLNTqeVcNuYrrR13PI988wkm9TmJ8oarbSdenzwoi0pWop0lEpIt7dP6j1AZr6Zfej3AszJqaNQzIHMC88nlAPCwZtD6/yMAgFAvhsrn45cRfJu0LRAJ8Wfolx3Y/dr8/g4iIyIFMhSBERLq43r7e9M/oz2l9TsPn8FHSVMKKqhVJx+w8n8k0TExM0uxpfLX1K/wRf4vrztkyhx998CMq/G0vVCsiIiLqaRIR6fLO6HsGAI3hRvpm9KU+VM+qmlVtHj8ocxCrq1fjsrt49KRHGZ03utXjju95PO+c/w45npz90WwREZGDhnqaREQOECmOFJ467SlyPblJ2x2mI+n1NcOu4bwB5/HPk//ZZmDariClYF83U0RE5KCj0CQicoDpnto96bXDSA5Nd356Jy+uepFnlz4LQH2onhNfPJE5m+d0WBtFREQOJgpNIiIHkDU1a3hh1QtJ2/zRlvOVAN5Y9wYTn51IJBrhgoEX0Dejb0c0UURE5KCj0CQicgDpl9GPa4dfm7SttUVtId4j9cPRPyTdnc4No27QUDwREZG9pNAkInKAufmwmxmZM7LdY1LsKZT7y7lk0CWYhv6qFxER+TZUPU9E5AD0k8N+wnff+W6L7b3SejH11KmYhsnK6pU4bI5WzhYREZE9oV8/iogcgMYVjOPeI+7Fvu13X/3T+3P/0ffz+nmvk+vNJduTzRFFR3RyK0VERA4OhmVZrQ+G34/q6upIT0+ntrYWn8/X0bcXERGRLk6fFUSkK1FPk4iIiIiISDsUmkRERERERNqh0CQiIiIiItIOhSYREREREZF2KDSJiIiIiIi0Q6FJRERERESkHQpNIiIiIiIi7VBoEhERERERaYdCk4iIiIiISDsUmkRERERERNqh0CQiIiIiItIOhSYREREREZF2KDSJiIiIiIi0w94ZN7UsC4C6urrOuL2IiIh0cds/I2z/zCAi0pk6JTTV19cD0KNHj864vYiIiBwg6uvrSU9P7+xmiMghzrA64Vc4sViMLVu2kJaWhmEYHX17ERER6eIsy6K+vp6ioiJMU7MJRKRzdUpoEhEREREROVDoVzciIiIiIiLtUGgSERERERFph0KTiIiIiIhIOxSaRERERERE2qHQJCK7bfLkydxyyy0ttk+bNo2MjAwA7rnnHgzD4NRTT21x3J/+9CcMw2Dy5Mkt9m3atAmn08nw4cNbvbdhGIk/6enpHHXUUXzwwQeJ/R9//DFnnXUWRUVFGIbB//73v715RBEREZEWFJpEZJ8rLCzkww8/ZNOmTUnbn3zySXr27NnqOdOmTeOiiy6irq6OL774otVjpk6dSklJCbNnzyYnJ4czzzyTtWvXAtDY2MioUaN49NFH9+3DiIiIyCFPoUlE9rm8vDxOPvlknnrqqcS2OXPmUFFRwRlnnNHieMuymDp1KldeeSWXXXYZTzzxRKvXzcjIoKCggOHDh/PYY4/h9/t57733ADjttNP47W9/y7nnnrt/HkpEREQOWQpNIrJfXHPNNUybNi3x+sknn+Tyyy/H6XS2OPbDDz+kqamJE088kSuuuILnn3+exsbGdq/v8XgACIVC+7TdIiIiIjtTaBKR/eLMM8+krq6Ojz/+mMbGRl544QWuueaaVo994oknuOSSS7DZbAwfPpy+ffvy4osvtnntpqYmfvWrX2Gz2Zg0adL+egQRERERAOyd3QAROTg5HA6uuOIKpk6dytq1axk4cCAjR45scVxNTQ0zZszg008/TWy74ooreOKJJ5gyZUrSsZdeeik2mw2/309ubi5PPPFEq9cUERER2ZcUmkRkt/l8Pmpra1tsr6mpIT09vcX2a665hgkTJrB48eI2e5meffZZAoEAEyZMSGyzLItYLMbKlSsZOHBgYvv/+3//jxNPPJH09HRyc3P3wROJiIiI7JqG54nIbhs0aBDz5s1rsX3evHlJ4Wa7YcOGMWzYMBYvXsxll13W6jWfeOIJbrvtNubPn5/4s2DBAo455hiefPLJpGMLCgro37+/ApOIiIh0KPU0ichuu/HGG3nkkUf48Y9/zLXXXovL5eKNN97gueee47XXXmv1nA8++IBwOJxYx2lH8+fPZ968eUyfPp3Bgwcn7bv00ku57777+O1vf4vdvuu/qhoaGli9enXidXFxMfPnzycrK6vNMuciIiIiu0M9TSKy2/r27cvHH3/M8uXLOfHEE5kwYQIvvPACL774YquL2QKkpKS0Gpgg3ss0dOjQFoEJ4Nxzz6WsrIw333xzt9r21VdfMWbMGMaMGQPArbfeypgxY7jrrrt27+FERERE2mBYlmV1diNERERERES6KvU0iYiIiIiItEOhSUREREREpB0KTSIiIiIiIu1QaBIREREREWmHQpOIiIiIiEg7FJpERERERETaodAkIiIiIiLSDoUmERERERGRdig0iYiIiIiItEOhSUREREREpB0KTSIiIiIiIu1QaBIREREREWmHQpOIiIiIiEg7FJpERERERETaodAkIiIiIiLSDoUmERERERGRdig0iYiIiIiItEOhSUREREREpB0KTSIiIiIiIu1QaBIREREREWmHQpOIiIiIiEg7FJpERERERETaodAkIiIiIiLSDoUmERERERGRdig0iYiIiIiItEOhSUREREREpB0KTSIiIiIiIu1QaBIREREREWmHQpOIiIiIiEg7FJpERERERETaodAkIiIiIiLSDoUmERERERGRdig0iYiIiIiItEOhSUREREREpB0KTSIiIiIiIu1QaBIREREREWmHQpOIiIiIiEg7FJpERERERETaodAkIiIiIiLSDoUmERERERGRdig0iYiIiIiItEOhSUREREREpB0KTSIiIiIiIu1QaBIREREREWmHQpOIiIiIiEg7FJpERERERETaodAkIiIiIiLSDoUmEdmlv/3tbxiGwYQJE1rdbxgGN910U+L1unXrMAyj1T8TJ05MHDdlyhRSU1P3qC3Tpk3DMAy++uqrNo/ZuHEj9957L+PHjyczM5OcnBwmT57M+++/v0f3EhEREQGwd3YDRKTrmz59Or179+bLL79k9erV9O/ff7fOu/TSSzn99NOTtuXm5u6PJiZ55ZVXeOCBBzjnnHO4+uqriUQiPP3005x00kk8+eSTfPe7393vbRAREZGDh0KTiLSruLiYOXPmMGPGDL7//e8zffp07r777t06d+zYsVxxxRX7uYUtHXfccWzYsIGcnJzEthtuuIHRo0dz1113KTSJiIjIHtHwPBFp1/Tp08nMzOSMM87gggsuYPr06Z3dpF0aNmxYUmACcLlcnH766WzatIn6+vpOapmIiIgciBSaRKRd06dP57zzzsPpdHLppZeyatUq5s6du1vnNjU1UVFRkfQnHA7v5xa3rbS0FK/Xi9fr7bQ2iIiIyIFHoUlE2vT111+zfPlyLrnkEgCOPvpounfvvtu9TXfffTe5ublJf2bPnr0/m9ym1atXM2PGDM4//3xsNluntEFEREQOTJrTJCJtmj59Ovn5+Rx33HFAvErexRdfzDPPPMNDDz20y/Bx/fXXc+GFFyZtGzVq1H5rb1uampq48MIL8Xg8/OEPf+jw+4uIiMiBTaFJRFoVjUZ5/vnnOe644yguLk5snzBhAg899BAzZ87k5JNPbvcaAwYM4MQTT9zfTW1XNBrlkksuYenSpbz11lsUFRV1antERETkwKPQJCKt+uCDDygpKeH555/n+eefb7F/+vTpuwxNXcF1113H66+/zvTp0zn++OM7uzkiIiJyAFJoEpFWTZ8+nby8PB599NEW+2bMmMHLL7/M448/jsfj6YTW7Z477riDqVOn8vDDD3PppZd2dnNERETkAKXQJCIt+P1+ZsyYwYUXXsgFF1zQYn9RURHPPfccr776KhdffHEntHDX/vSnP/Hggw/yi1/8gptvvrmzmyMiIiIHMIUmEWnh1Vdfpb6+nrPPPrvV/RMnTiQ3N5fp06d3Wmh68sknefvtt1tsv/nmm3n//ff56U9/yoABAxgyZAjPPPNM0jEnnXQS+fn5HdVUEREROcApNIlIC9OnT8ftdnPSSSe1ut80Tc444wymT59OZWVlB7cu7rHHHmt1+5QpU1iwYAEAq1at4sorr2xxzIcffqjQJCIiIrvNsCzL6uxGiIiIiIiIdFVa3FZERERERKQdGp4nIl1CQ0MDDQ0N7R6Tm5u7ywV1RURERPY1hSYR6RIefPBB7r333naPKS4upnfv3h3TIBEREZFtNKdJRLqEtWvXsnbt2naPOfroo3G73R3UIhEREZE4hSYREREREZF2qBCEiIiIiIhIOzplTlMsFmPLli2kpaVhGEZnNEFERES6MMuyqK+vp6ioCNPU73hFpHN1SmjasmULPXr06Ixbi4iIyAFk48aNdO/evbObISKHuE4JTWlpaUD8L0Kfz9cZTRAREZEurK6ujh49eiQ+M4iIdKZOCU3bh+T5fD6FJhEREWmThvGLSFegQcIiIiIiIiLtUGgSERERERFph0KTiIiIiIhIOxSaRERERERE2qHQJCIiIiIi0g6FJhERERERkXYoNImIiIiIiLRDoUlERERERKQdCk0iIiIiIiLtUGgSERERERFph0KTiIiIiIhIOxSa5JAT8kcINIY7uxkiIiIicoCwd3YDRDrS0tlb+PDfyxOvh08uYtIlgzuxRSIiIiLS1amnSQ4pNpuBw9P8bb941hZqyho7sUUiIiIi0tUpNMkhZdDEQq7/f5Px5boS26bf9UUntkhEREREujoNz5NDimVZ/O+hr6krDyZtf+auOdSVBygamMnpN4zA6dGPhoiIiIjEGZZlWR1907q6OtLT06mtrcXn83X07eUQNfeNtSz/vJS68kCr+w0TsMDmMBl/Vl/GnNSzYxsoIiIJ+qwgIl2JhufJQc+KWXz64kq+fG1dm4HJl+OmsG86AHm90qguaaSuwt+RzRQRERGRLkqhSQ561VubWDBzEwB2Z8tveV+Om8vvnUhuLx/HXjqI464YwrI5JcyZsbqjmyoiIiIiXZAmbshBq3JzA4s/2czaeWUU9PNRtq4eV4qDw8/sTm1ZE0s/LcE0oa4iwIIPNnH0hQMS537nJ2Mo6KvhICIiIiKiniY5iC2ctZEVn5fSa2QOuT3T8KY7aawOUrW5gYETCjj20oHYHCYpmU6qSxtZO788cW73QZnYHbZObL2IiIiIdBXqaZKD1sallYQDUco31FO1uZFY1MLmMEnL9vDR9BVUlzaBAYX9U1n5ZSnRSIzcnmmkZbl3ee1NK6pZ9WUpx105hGg0xn8f+JrxZ/Wh94icDngyEREREelI6mmSg9L6JZX0HZWHYcC403pzwZ2H4fTYcKc6GHp0ESddMxSA1EwXG5ZUEQ1brJy7lS2rawCo2NzAzKeW0lQXL02+5psyHvvhh8yavhyASChKoDECgGkadB+UuVthS0REREQOPOppkoPSmq/L8NeH6Dksm8UfbcZfHyLkj3LWj0aTluUmJd3J+LP6sPTTLbhSbEQjMSJBC2IWi2ZtYs6M1Zg2k7J1dVx690TyevkYOD6fPqPjPUm9R+QkepUMw+DI8/t35uOKiIiIyH6k0CQHncbaIMdfNYTacj+vP7KASZcNYsHMDUTCMRwuG011ITavqmbpp1sYNLGAcCDCkk9LOPX6YdidJh8+s4LxZ/ehoG86hmEAkJbl5oSrh3byk4mIiIhIZ1BokgNeKBBh6adbKByQgdtrZ/rdXzD58kH0HJrFEef2w5PmYNzpvfH6XLz6l/n0HJaFO8VBLGrh8tgpW1fHiMnd6Tc2j2g0xjUPHo3TbWfZnC3Me3c9RQMyOe7ywZ39mCIiIiLSSQzLsqyOvqlW+ZZ9qXxjPf/949eYBhx2em8y8r2898QSopHkb+1jLupPrxE5YBhsWVnNB08vx+4wmXhuP+a+vhZ3moPGqhCxmEUsZmHaDGI7XMPuNDBtJgV9fQw/tjs9h2ZTsbmBzAIvsWgMd4qzRdsCDWFsThOH00bFpnree3IpIyZ1Y9lnJUSCMYZP6kY4GGXo0UV88/56+gzPYfOqGoYcWYjX59rv752ISFelzwoi0pUoNMkBraqkkZA/Qlq2i7L19fE5Sl4HOd1Tmffuevx1YQDy+/koL67HnWanqTaMO81BoD6MO9WOYRj468N7fnMTsMDrc9JUGyK7u5f03BSOvnAAm5ZVsfzzUuor/dgcJqNP7ElBv3Re+sNX2J0m3jQnuT19rF1QjsvrwF8XJBqx8KQ68DfE2zL5ikEMGJfP2m/KGTShAMM09uE7JyLStemzgoh0JQpNcsAq31jPC7+bC4DdaSMj30Pl5gasWHy/02Mj5I/GXxhAB32n53RPpaq0MamXCsCdZidQH8HuMolFLPodnkdTdZBgY5iKTY0trpPbK5Xq0kYiQYtL7zqcys2N9B2bRzQUw+nRyFoRObjps4KIdCX65CUHnEBjiPrKADVbmwAwzHgJcMOIh6dwIB6UEoEJOiwwAVRsasCVapLTzUf5+gZCwShYEKiPlyiPBOOpbtXnW9u8hsNt4nTZiYYtMOC5++Lh0PdqMfWVfiac05cUn4vBEwv3/wOJiIiIHOIUmuSAsrW4jtcfWUAoEAEDBh9VQFlxPTVlTVSVNBINWzi9NkJN0XavY5iAAVb7h+21YEOMzStqd7rptv/fKcC5vCbBpljStnAgxuaVNS2uW1fuB+DzGWsBaKoJMnxyd5xu/SiLiIiI7C9a3FYOCIHG+DyfxR9twu4wiUUt8nr5WD67lKot8aFw0XA8jewqMAFYsf0XmGhr6pFFqz1eOwemPfHZ/9ayfnHlXp8vIiIiIrum0CRd0jv/XMyMh74GYN2iCp64/RNee3Q+Hp+DYCCMYUD5hnowwOtzYPfsZZGEnU5zp9gw97DTxpfnBgMMG/Qdm0N2txQgPicpo8DdfKv9UMcht2cqA8bl7/sLi4iIiEiCQpN0CfVVAQBK19awtbiWSDhGQ1WQhuoAdpeJJ9XBhkVVfPPuRmx2E8uCaDgGFjTVhYn4927S0qDxBVx9/5Ecc8kAAAKNUWKRto+32Q2MHUKVzWFQXx4AK95z1WdkLnUV8SF05esbqCmNP5c7zY5hGrhSbC2u2Wd0dqv3MmwGdqdJz2FZrfZeHX5Gb87/6bjdfFIRERER2VuaCCGdIhqJ8dbji5h4bj9K19by0fQVHH/lYD7+z0pisRhDjy6iags8e+8XicIO2wUa2kk1e2jFF6VsXllNQf/03Wx3PJw5PTYy87001AZprA4l9s98elmLIXim3SAt20Olv55gYzSxbXt1veL5Ow2vMyBsWkQy7XgqI1iWhc1mJK07lVHgYfxZfff0cUVERERkL6inSTpFdUkj6xdX8vF/VvDx8ysYNKGAD55ZTo+hmRiGyeJZW3Cl2Ok7KgfDhG4DfdgcBrm9UknJbLmIbGtSs5KPc3lb9vIANFQHWT23bLfbnp7nIhyMsnVdPZkF3sR2wwRamZ4Ui1iUb6hP6sHaHpjcqa383sICexTebGrEsiw2Lq1usVBv98GZu91eEREREfl2FJqkQ6z8spQ5/10NwLx31rPmm3IAyorr8WV7qC5rJKd7KsddPiQ+7I748La188uxYlBSXEc0bFG+viGpZwdocw5Sel5zoPH6nASbomQVxreZreenNpk2g8L+8XVComFweeM33bSsBsOA9Dw3rpRtDWltpGAbtR4MA1KyHKTnurE7m38co8AkvwOjlXF5p904nGMuHLhnDyAiIiIie02hSfabuW8UU7a+jvVLKln2WQmRbWEo2BSheGEF7jQ7sUiM2jI/ZcX1VGxsYMafviYtp7l4wvZzYuHka5uO5q+3L2ZrdyYHjM3LaxJfN9WF8KQ5CPrj3T2mzWh1npCx7Sei//i8RAiy2Q0sy6JkdR0A/sYQ4VDzkEHLgtO+P5KQf8+HDfrrIzRWhamtCBAJxR/E4TaxY5Bjtf7jWdQvE9OmH10RERGRjmJYltWBy37GaZXvg1MsGqN6axNlxXUs/7yEQGMEh9OkqT5e7W78mX2Z9+56cnqksvKLrZg2iMVI6pnJLEoh7I8QjUQJBaKJMuL7kt1pEo3EEmGrNYYZD1Zt3d8wSTrftBnEojsduy2UZeS7Sc9xs35xTTs3JPE+2J0GWUWplK2rTzrElWLn/DvGJQ0JFBE5WOmzgoh0JSoEIfvMgpkbmfPymsSHf4/PQVovH1vX1ZPdPYX3py0FAxrrAph2Wq1SV7O1cbfWT9r5/B0LK+zK9h6d1hh2sCLxQBSNtX29nQNXLGo1B59tc5uK+qdTXxWkpjSQqKLXFrvDwOGyY9gMmmpC2JzJPUmDjyjghKuH7uLJRERERGR/UE+T7LENSyuxO2z4cjx8+uIqBk7IY9b0lYSDEQwgHNwhUWwfArfjd5lB6/N+drWvI+xQzGHHIJbbM5XBRxQy+6XVLXuU9kJur1TqKgKE/BFsdoNI2KL/4Xms/rJlQYoTpwxh0MTCb31PEZEDiT4riEhXookR0i5/Q4gNSyuJ7dDr8t6TS/n8lTXEojHqK/188Uox/roQkWCsOTDtEJZGHtet+YJthKLsHik4PGaLfamZTlLbqJZn27bZtO8wOcloLtKQ2LTtu3zSZQPIyPckXttdJqlZLpye5h8DX6aLjAIvDpeZ1HNVvqGBT15YRSxqYXck/9gYe1JUYltTy9c3YBhgmAaRkAUWLQLToIl5jDqhOwMnFOzBDURERERkX9PwPGmpsQL+fiw4vdSknc4bc4/D6bIx8oSeFM8vIxKO0ntkNss+K8HhtlO2vrrlNXYIPws/2Jz4euTx3Vn88SZsNlti/SXDBpUbG0nJcBL2N1fGyyryEgnFqKsMYDohFkru/YluOzQWsUjLcVJfEYqX63YYhG0GhgExLKxtw/hWfL4V025ixaD7kAxsNpO+Y3L5/OU1bO9eqqsMMv47fVi/sIKtxclzihJzjlxmokAFsFvDCWH7PCmTaDiGw22j57AsVn7RHJScXhvn3DKGprowX7+9juOvHKqCDyIiIiJdgIbnSVzYD1/+E8ZdE+/C+egPRO1pVHvHEc0dyacvrKJ0bV3i8IwCDzWl/j2+jc2xbZFWi+Zep9aG8G3j8TkINkXI7pZC+foGIF4uPLY9qOzQc2UY8Up2GPEeqobqEFmFKVRtaYzf22kQDVkYJvhy3NSWBTjpmqF88O/lRMOxRHGH7kMySM10405xAjFK19ZSuqYeX46buormuUnbj0/NdDFwfD5NdSECjWHWLazE4TEJ+5MnPjncJpGQRV7vNGx2k5I1NYnANWBcHpOvGIzTrd9jiIiAPiuISNeiX2NLXO0meO8ueO/XxAw7L743nPfeNPjPk2Hee2JJPDDt8N2yN4EJiFej2x6OdgxOOwUmmyOepPx14fjisNsCE+wQmGg+z+ExsXa4bkNVCNMkqax4NGThzXRy2Km9CfmjnHjNUDatqGLU8d3jp8XA4TKxO+wsn1NKJBRl/nubKF/fgNNrw+tzMf6sPjjcJikZjnjhBhMaa4Is/7yU5Z+VkpoVL5ce9sda/HSFAzGsmMXWtXX4ctyJwDRichHHXTVEgUlERESki1JP06GuZiP883i4/AWoXg+5gwj5BvDvX3xCj+5BymrSqS3zY5jg9NgJNkb2rljDLs4xTAOrjWp1LSvlJb82zPiwvWgoXsHOZjcwMHB47Uw4qw+1FX6+eXsDNkd8vSUr1nwvu9MkNdNFJByjqT5ILAz9x+VSvKCSogEZuFMcVJU0YLebYBrYTAOb28ThsLP2m3LS8z0EG8N4fS6GHVvEp/9ZBebuDdnz5bj5zi2j8eWohLiIyM70WUFEuhL9avtQl5ITH5KX0QurcDRfvLKWAYcHuODnE3jm15+TmhmlcICPjHwv5esaCDbGe11Cjbs5kWe7nXuS7BCNkAhTbQUmaFmafOfXpj3ei7T9PtGwRXaRl8otjcx6ZsW24XouGqqDicbYHAZ2h0ksBjVlflIzXDicdoLhCKu/KsfmNKnc3IDDZQMDKjc1YneaLcqV1271k57nprq0kcbaIBaQmuGioTKYdJzdZZKS4aaoXzpN9SE2LK6kripAVUmTQpOIiIhIF6eepkNc2fo6vOlO1i2spKa0kU0razjs1F589OwKgk2RpPlDDpeNcHAPw9JOPOk2/HXRb1VWfPtcIk+6A39tOHmfrbmXx+4yiWyr5mfawO60EfK33v7s7h66DcymeGE59RXNgWfHRWztznilO5sjXsyhZcNo9blsDoP8Pj4iwRgDDs/HXx8isyCFPqNyW1T6ExGROH1WEJGuRJ/YDjZ1W+C1W6DHBDj2tnYPLVtfx0sPfAVATvdUPGlOivqn89Ub6wgHIxQO8FGyqrn4w94Epp5DstiwrCrx2l8bjReDCO99arJi0HdsDmvnVSS2Odwm4UAsnlu2hZdYNB5s7C6DSNBqub7SDiGncpOfyk2bWr3XdpGQhc0J0bYWx7XAnRYfwrjjedGwRcnqWjDgqAv6UzQgc88fWkREREQ6jULTwaaqGDZ+Dpm9kjYv/6yEZbO3cNK1w/CmOVk6p4TZL60iLctFXUWQ8g3bCi2YxOftOGxJ1fL21o6BKSXLSWNV6FsFpu0aa4NJoScciKeUWDQeXAL18UVjnW4bgYb4eL6dh9ZtP9d0GMS2tWnHnqrWREOQkuGiqSEIUTBt26oBAidOGUqvEdl88coaVn1VRrCpeRyhFYP+4/LILEz51s8uIiIiIh1LoelAZ1nwvxth7NXQ6wjofRT8bEOLw1Z+WcqW1bV8+PRy8vv6+Pqt9cSiFrbM+Mqsifk6MXB4bPE8EW5xmb1md5k01cQXVnJ6TUJNbfTW7Kata+rb3Beoj9B3TC5rvyknTKTN47aLha3muVW7kecaa4Lk9kilqqSRooGZbFxWxWV3T6B0bS1VWxpY/PEW8vukUV0aL6CRluXmol8cjmEYu764iIiIiHQ5Kjl+oLMsCNTG/2xdAs9cAIHkHqKG6iC5PdPwpDkw7AbhYJRY1GLk8d3oMyoHX7Y7qRcm6I+0GGLWGnOnyG2zG/QZndXqsZFgLHG9bxuYdsemZVVJ5cYB0vM9bR5vc247uJ2mGSakZrkACDSFiUYsNi2v4qgL+rN1XR0f/ns5G5dVM+GcvpStr6egr4+cbqlUbGzAX78PE6iIiIiIdCj1NB3oTBOO/gk8cQqccBfUbiRqgRGN8fxvv6SwfwYOp8nijzdj2mDrmlq2rKwBAwYcls9//zQPT5oj6ZKJsLTjOkqt2LmKXTRiUTy/qvWDd7Q3Jctbu4yR3DNkGNsua0EoEMW0G9hsJuFgFLvLILswhRSfgy2rWg47jAbbb5BpN7js7ok88+vPAOg2KJOtxXVYFtjtJjOnLQPgqzfX4U61Y8Vgw5L4ezH6xB54fc5v/8AiIiIi0ikUmg5UsRgs/i9gweZvgBjWZ3/D8tfwrzvnAfH5Nks/2YIv240Vg3DYShqu9uUbawHa7AVxem2Emr5dtbyd2ZxmopCCx2fHX7fjgkskhakdQ5E71UagobktPYdnsWFxc0BzeMz4grI7yO2RRkaemxVflIFlsH5xZWL+EUDRQB9VJU2JOU873jstx8Wg8QV89eZ6nB4bGXke/PVBXKnxQg9b19ZSXxXE6bazeVV1ou3jTu/NV2+tw+EyMEyTboOymHB232/1nomIiIhI51JoOtAE6sDtg3+dBJWrIFhLqNeJ2AwXoaYIDcYAYtF4pThPWvw/75k3jeTZe79scamNS2vavdVeBaZd9CLtWHkuKTC1YsdepJA/yuCjClj+eSnESAQmpydeRnznwGTaoXJzA1uL471KLYpAAFtWtl7owjDhrJtGs3lFdfzegSj+hgiLPtoSH75nQUZ+CtWlfo6/cgBfvl5Mfh8fIyZ1Y8C4fLKKUuKBLV/rL4mIiIgcDBSaDgSNlTDjeljzfst9Iy5m2YpMlpefwoU5d1JhH4dhgmkYBBrjoeS533zZvGbRPhoatyd2XOtob47ZXk585WdbIRYfKheLWjhcNsae0pPP/1ccv4YdrAh4fA4C9eHEjL2UdCeNtaFdNACw4u0AeP63X5LfJx13qoMhRxSQWZhCY22InkMH8P7UZRQvrMBmN4iEo1hWjJrSJnK6p2HaTAaMy9/9N0dEREREujyFpq4qGoEPfgvzn4PGreyYdGKWh7rIJaTZX8K26D8MjnmZE5nG89FX6DUkG3d9NY3bKtUZRjyMbF/kdb8Hplau31ZFuh2H/7UXqsKBGIYJsVj8QqNO7ME3b28go8DDukWVieNMwyCKRTQcwzANHJ54RUB/Y4jUTCcN1cnBKS3HFV/IdltgyizwklWUQl2Fn7qKAAV9fIw5sQdvPrYofn0bFA3IJLPAi9Njp7EuwJwZqxPD+zavqCa7W+puvlEiIiIicqBQaOpKLAve/gV88RjtpZuY5cMfO4qUlCWsqTCZWfcTcp3r2Fren6zaGAV9fazZtvDr7pTQ3mO2bc2LEe/N2VUxvB3nKe2wDtKOw/+86Q5ikXhVulaD1w73WPLxZgDK1zUkHbN98dqQP4rHF1+rCeIFK/yNyfO2XKkmxvZuJSs+nK+6tInq0iYME/qPzaNoQAbz39+IYYDNYeL0xn9cUtJd2Owm9ZV+Ag0RTJtBv7F5DDmqaBdvhIiIiIgciBSauoK1H8F7d0NdKTSW7PJwu7mVwow7iWX2Zd76C7Gwk2KrAgwaqgNsLW57DaM9ZXPGF3RNsuNUpz2sHr7jwrEOl0k4GOPoi/uTWZDCys9LWfHF1jbPNRxghVvOtUrP81Bb5seKgctjEgzEsNltWLEIPYdlsGFJDdGQFR/Wt60QRLAhRrDBD0BerzR6jchmwQcbCfmjuFPtFC+qYNXXZYkA5/U5GX9WH6pLm/j6nfX0HJLJpXdPZNnsLTTVh+g7Og+Hy7Znb4aIiIiIHBAUmjrTzN/BJ39s5wAbiYTSfXy8u6ViFcRCxCwDY8s8BqT1p7ihibpQBsA+DUzQSmDah8Lbhgx++p/VALi87YcOq5Uif2nZbhqqA/QZncW6hVVEoxZYcNhpvSnsm86GpVVUb/UTqA9TNCCTWCxGMBChbG3z+xSzLOa+vg6Iz2nKzE9ly5qapB6vuooAHz+/EpvDhBhsWl6D021jzMm9vtV7ICIiIiJdnxa37UxfPr7TBgMKRsLwC+G774CvIL7Z7oEjfgjBesjqh5VayKrqwdRZRXxRdzE5R5xMMGMEAM6Ujv1Pauxm54rdZdJ9SGbitekwWhwTbIqSnu9O2mbaWx4HYJgGx10+CH9DiGjYonhBFVaseRhf2bpasgpTWDRrE/UVQcLBGJtWVrFxaTWN1YGka9Vsbdp20fj5W1bVtOhBs9khPc9LvzG5eNIcDJ/UDdOmHx8RERGRQ4FhWftl1ku76urqSE9Pp7a2Fp/P19G37zqC9VC/FXL6Q6gJypZB7iBw7VBMYMF/YOkrsOIN8OZAUwVc+h82M4GqkkbWfFNOxaZ6gtsq5e1OpboOY4DLYyfYFG/bjsPjeo/MZt3CylbPwYLCAemUrKpt89JpWS4iEYtgUzh+TQO8PgdNtc3dUalZLgKNYWw2M9GGHblTHQQawri88Ta6U+P/39r7d9yVg8jIT6Gof8YevQUiIrJ39FlBRLoS/aq8M7nS4oEJwOmF7oclByaAURfDyb8FTybkDoaLniHYbTIYMGJyd875yRgczubuno4KTKlZrl0fZJEUVrYHpvw+aS0C0/YiC1gw9NjCloFppw6n+qog/roQdlf8W9i5QzhLyXSSmuMi2BgmEozhcJvN3+nb/j8t28W40+ND6yLh+BDI3qNy4oUzWuk9i0Ri/O/P3xDyt7+2lIiIiIgcfDSn6UCQ3RfuXJd4uXLWJmb/dzXXP3wsps3E7vgWBQh2mDa1Jxqqgrt97M69X63NuwrtEK7WLahoeZFW+kNNe3OWKuqXTixm0VgTpHJzIwCFA9MoWVlPQ9UOE7Ni4E5zkNM9lbXzK+g+JIvStdXbnskfv08UbE6DaMjihClD6DE4C4/PSc8h2Tg9+pEREREROdSop+kANOyYIq64byKmzWTW9OU01QUZNDGf1Gz3rk/e2V4EJkxIzW7uaUrJcCTttjmTu4VsbcxLyijwtOhBApKG2LUnFoFgY/wB1i2qZMOSqqRFbEtWNoezzEIvaTnxNgfqw9RVBfGkOSldW0NqZvx9Cweak100ZHHEuf0YPLGQlAwXpmmQkefdrXaJiIiIyMFFvzY/AJk2M/FB3+W1E41aBBrCHHPRAN5/cil5fdIoK64jHIyRXuCmtjSwiyvuoRg0VDb3NDXWJIecaCi5WygSan3aXE2pf581yTDia1KFA60HrprSJjKLUoAgqVkuoqEYWYVe6itTOePGERg2A7vDxpwZq/GkOkjNdDPkyMJ91j4REREROXCpEMRBYO38Mt56fDGuFDuDxhfQbWAmGNBQHaSgn4+3/7GY+opvH5z2S5GJ3Vkcdze01TbTHu+RGnNKT2pKm5h02SBS0ndjPpaIiHQqfVYQka5EoekgsXV9HXaHSXZRaqv76yr8fPnqWlZ82fbise3ay3BTNCAjXsJ7G8ME04SRx/fkm3c3kJLlJCPHQ2lxLdEdOoncKXai0VhiyFxmoYfqknjP1PYg1HxRyO6WQiwWo3pLc+9VdvcUTNNk9Ik9GDi+YM8bLyIinUafFUSkK9HwvINEfq/2/0Hx5Xg48ZphVGxpoGZrE90HZrJ+SdXu32BPA5MBLo+NLatrEq8zCz3UlPqJWbB63lZ8uW7cKQ7qq4IYRjyV2RwGNrtJ0B8v/W06oNewbE787jBe/ct8woEI1aXxdZUyC714fU62rKoh2BRhwLh8ako3cMKUoWDBwPH5GEbr86lERERERHaXQtMhZuLZ/XB6bBQNiC80G2wKM/3uz7DZTaIRi1jUIiXDRVVJY6sV61qT0yOVio0NyRut+GK1To+NSDhKLAL1FUE8qQ78DWEcThu15X7qygMYBtgcJoYJNrtJj6FZFM+vwMIiFoby9Q04XXYiwRj++jDdB2Ux5KhC3v3XEo6/cgir55VhGHDkef2Z+J2+LRadLVlTy2czVnPWj0fjcH2LSoMiIiIickhSaDrE9B6Zk/Ta5XVwzZ+OBeDrt9exZl4ZF/1iPK88/A3VpU2ce9sYKksaeP/JpUnV5bZLyXDhSXXgTrXjTXdRV+YnEm4+LuRvLs/Xe2QOp1w7nOIF5Xz28hq6DcykprQJw2ZQ0Dcdl9dOdUkj6xdVEovGE1u85yneWzTkyEJsDoMhRxRh2AxOusYit0caBX3TE/fYOTBBfIHdjAIvpk29TiIiIiKy5zSnSRJK19ZStr6Okcf14OWH5hFoDNNzaBYDDs+ntLiWT55fxdk3j6bHkCzmz9yAJ8XJx/9ZQcgfxeY0Sc/x0G9sLhuXV1G9pRFPmpOarX48qXbGnd6Hkcf3aPPe895ZT3VpE6u/3srhZ/UmMy8Ff0OY/D4+MvK92FoJQyIicvDSZwUR6UoUmqRNVszi5YfmMfqknvQdnUv5hnpye6a1OG7pp1twpdjpNyYvaXs0EqN8Q31ST5CIiMju0GcFEelKFJpERESky9FnBRHpSjTmSUREREREpB0KTSIiIiIiIu1QaBIREREREWmHQpOIiIiIiEg7FJpERERERETaodAkIiIiIiLSDoUmERERERGRdig0iYiIiIiItEOhSUREREREpB0KTSIiIiIiIu1QaBIREREREWmHQpOIiIiIiEg7FJpERERERETaodAkIiIiIiLSDoUmERERERGRdig0iYiIiIiItEOhSUREREREpB0KTSIiIiIiIu1QaBIREREREWmHQpOIiIiIiEg77J3dABERkc5Wtm4tuT17Y5gmwaZGAKpLthCLRbHZHeT36dfJLRQRkc6k0CQiIoek1//yAOsWfkOwoQEAT1o6PYaNYN2CeUQjYaLhcOLYPmPHc96dd3VWU0VEpJNpeJ6IiBxSopEwL/3uLlbM+SQRmAD89bWs/PxTwqEgBf0H4fCkJPZtXr6YcDDQGc0VEZEuQD1NIiJyyFg++2NmTX+SxsqKNo+xolE2L18KVgwMAyyLUFMT8995g/6HTySzsFsHtlhERLoC9TSJiMgh4dP//Js3/u+PicDk9mW0fbAVAyAlIzOxac6Lz/L5jP/szyaKiEgXpZ4mERE5qFmWxdevv8wXOwWeQF1Nm+fk9OxDLBIhJTOTxuoqACKhoIboiYgcotTTJCIiB7V3//5XPnrmyeYNhoFhb/93hhUbiqnaspHAtkp62x1z2ZT90EKRA8esWbMwDIOamprObkqnmDJlCuecc84+veY999zD6NGjO/y+smcUmkRE5KD19mN/ASzsTicAps0GGFiRCACeVobopeXmYdpsmHY75cVr4hsNgysf+D8yC4o6puFyUJoyZQqGYST+ZGdnc+qpp7Jw4cK9vua0adOSrrn9j9vt/tbtnTx5Mrfccsu3vs6+tm7dOgzDYP78+Z3dlC7rUA+3+4NCk4iIHJSikQhLZr3H4g/fIxIKAWCYtsR8JafHg8uXCoDD40mcF2ryE4tGiW0LVgBYFmu+/rLjGi8dIhqz+GxNJa/M38xnayqJxqz9fs9TTz2VkpISSkpKmDlzJna7nTPPPLPN47cHhPb4fL7ENbf/Wb9+fZvHh7b9PIjI7lNoEhGRg9LWdWtabIuGmz8shvx+ajZtAiDs94NhkNurL4UDBpHft3/Seb7cfAoHDNq/DZYO9fbiEo5+4AMu/efn3Pz8fC795+cc/cAHvL24ZL/e1+VyUVBQQEFBAaNHj+ZnP/sZGzdupLy8fK+vaRhG4prb/+Tn5yf2T548mZtuuolbbrmFnJwcTjnlFK655poWYS0cDpOXl8cTTzzBlClT+Oijj/jLX/6S6L1at25d4tivv/6acePG4fV6OfLII1mxYkXStR577DH69euH0+lk0KBB/Pvf/07aX1NTw/e//33y8/Nxu90MHz6c119/ncbGRnw+Hy+99FLS8f/73/9ISUmhvr6ePn36ADBmzBgMw2Dy5MmJ4/71r38xZMgQ3G43gwcP5m9/+1tiXygU4qabbqKwsBC3202vXr24//7723xfo9Eot956KxkZGWRnZ/PTn/4Uy0oO1sFgkB//+Mfk5eXhdrs5+uijmTt3bmL/tGnTyMjIaPEsrQXhv//97/To0QOv18tFF11EbW1tm22LxWLcf//99OnTB4/Hw6hRoxLv2bp16zjuuOMAyMzMxDAMpkyZ0ua1ZPcoNImIyEGnurSE5355264PNAzSsnPjX1sWjfV1rJv/FdVbNicddvKNN9N75Jj90FLpDG8vLuHGZ+ZRUptc2KO0NsCNz8zb78Fpu4aGBp555hn69+9Pdnb2fr3XU089hdPpZPbs2Tz++ONce+21vP3225SUND/r66+/TlNTExdffDF/+ctfOOKII7juuusSvVc9evRIHPvLX/6Shx56iK+++gq73c4111yT2Pfyyy9z8803c9ttt7F48WK+//3v893vfpcPP/wQiH/gP+2005g9ezbPPPMMS5cu5Q9/+AM2m42UlBQuueQSpk6dmtT+qVOncsEFF5CWlsaXX8Z7fd9//31KSkqYMWMGANOnT+euu+7id7/7HcuWLeP3v/89v/71r3nqqacA+L//+z9effVVXnjhBVasWMH06dPp3bt3m+/ZQw89xLRp03jyySf59NNPqaqq4uWXX0465qc//Sn//e9/eeqpp5g3bx79+/fnlFNOoaqqao/++6xevZoXXniB1157jbfffptvvvmGH/zgB20ef///Z+++46Mq1gaO/872zSab3gNJIIChg/TelAiioAJWuu2K2EBFr4pYQF5Qr1dFRU2wexUEBEQEBZVeDN0AoUNCQnrdOu8fSxaWFBJMqPP1sx9yzpkzZ85mkfPszDwzbRqfffYZH3zwAbt27eKJJ57g3nvvZfXq1dSrV4958+YBkJKSQlpaGv/5z39q1B6pPJk9T5IkSbrq7Plzlce2oijlviEG8A4IpCArE0WtRjgchMbEkm63UpKf71HOy8e3LpsrXUQOp+DlH3dT0UA8ASjAyz/u5oamYahVVQ+LuxCLFy/G29s1LLSoqIjw8HAWL16MSnXh32Pn5eW56yzTvXt3fvrpJ/d2o0aNmDFjhkeZsh6gp59+GnAFJkOHDnXXpdPp8PLyIiwsrNw1X3vtNXr27AnAs88+y8CBAyktLcVgMDBz5kxGjRrlfuh/8sknWb9+PTNnzqR3796sWLGCjRs3smfPHho3bgxAgwYN3HWPGzeOLl26kJaWRnh4OBkZGSxdupQVK1YAEBzs+qIjMDDQo20vvfQSs2bN4rbbbgMgNjaW3bt38+GHHzJy5EiOHDlCo0aN6NatG4qiEB0dXeX7+vbbbzN58mR3fR988AE///yz+3hRURGzZ88mKSmJm266CYA5c+bwyy+/8MknnzBp0qQq6z9baWkpn332GZGRrnXg/vvf/zJw4EBmzZpV7v23WCy8/vrrrFixgs6dO7vfvz///JMPP/yQnj17EhAQAEBISEi5ni7pwsieJkmSJOmqs+67Lz22ywImU0AgsW3bAaDW6riuS0/6jXsE74BAdEYvSgvyiYpv6XGuf2Q9gutX/XAlXTk2Hswu18N0NgGk5ZWy8WDNegqqq3fv3iQnJ5OcnMzGjRvp378/N910k8ccpGbNmuHt7Y23tzfNmjUDcG97e3u7H9DL+Pj4uOsse3388cceZa6//vpybRk3bpy7R+fkyZP89NNPHj1GVWnZ8szfk/DwcAAyMjIA2LNnD127dvUo37VrV/bs2QNAcnIyUVFR7oDpXB06dKBZs2buHqIvvviC6OhoevToUWl7ioqKSE1NZezYsR7v1auvvkpqqmuo7qhRo0hOTqZJkyZMmDCB5cuXV1pfXl4eaWlpdOzY0b1Po9HQrl0793Zqaio2m83jXrVaLR06dHDfa3XVr1/fHTABdO7cGafTWW7YI7h6pYqLi7nhhhs87vWzzz5z36tU+2RPkyRJknRVsZyTJvxsAydM4sTfezi4dTMOmxVrSTErPn4Prd6Af2QUGQdTSdvn+ZDidNgpzs/Dyyx7m64GGQXVW2uruuVqymQyERd3Zs7cxx9/jK+vL3PmzOHVV18FYOnSpdhsNgCOHz9Or169PDLFGc9KXAKgUqk86qzsuucaMWIEzz77LOvWrWPt2rXExsbSvXv3at2HVqt1/1w2P8fpdFbr3HPbX5Fx48bx3nvv8eyzz5KYmMjo0aOrTIhRWFgIuHp6zg50ANRqNQBt27bl4MGD/PTTT6xYsYJhw4bRhGFc1wABAABJREFUr1+/cvOnapNKpSrXy132u71QZfe6ZMkSj0ALXHPmpLohgyZJkiTpqqLSaDD6mCkpLHRnygPwi4jk+1eeR611pR+/rmsv/E5PlhdCkHFgPwB6kwmDt5m8k665HjarFcc/fMiRLh8hPtVLxV3dcv+UoiioVCpKSkrc+84eNqY5vabY+YKiCxEYGMjgwYNJTExk3bp1jB492uO4TqfD4XDUuN74+HjWrFnDyJEj3fvWrFlD06ZNAVcv1bFjx9i7d2+lvU333nsvTz/9NO+88w67d+/2qEt3egmBs9sWGhpKREQEBw4c4J577qm0bWazmeHDhzN8+HDuuOMOEhISyM7Odg9nK+Pr60t4eDgbNmxw93DZ7Xa2bNlC27ZtAdyJLtasWeP+ndlsNjZt2uRO1R4cHExBQQFFRUXuwLWiVOlHjhzhxIkTRES4ljVYv349KpWKJk3KJ6Bp2rQper2eI0eOuIdInqui90j6Z2TQJEmSJF1VtDo9WoOBkgLPeUm5J46jqFTYSktQtFpy0o7z95rV1GvWkpOp+wDXkD1bSSkm/zOT8lv1uRGfwKCLeg9S3ekQG0C4r4H0vNIK5zUpQJivgQ6xARUc/ecsFgvp6ekA5OTk8O6771JYWMigQYMuuE4hhLvOs4WEhJx3rtS4ceO4+eabcTgcHoEJQExMDBs2bODQoUN4e3uXCywqM2nSJIYNG0abNm3o168fP/74I/Pnz3fPSerZsyc9evTg9ttv58033yQuLo6///4bRVFISEgAXFnfbrvtNiZNmsSNN95IVFSUx30ZjUaWLVtGVFQUBoMBX19fXn75ZSZMmICvry8JCQlYLBY2b95MTk4OTz75JG+++Sbh4eG0adMGlUrFd999R1hYWKVzfh577DGmT59Oo0aNuO6663jzzTc91j0ymUw8/PDDTJo0iYCAAOrXr8+MGTMoLi5m7NixAHTs2BEvLy+ee+45JkyYwIYNG0hKSip3LYPBwMiRI5k5cyb5+flMmDCBYcOGVTifzMfHh4kTJ/LEE0/gdDrp1q0beXl5rFmzBrPZzMiRI4mOjkZRFBYvXsyAAQMwGo3l5r1JNSPnNEmSJElXFWtJMQWnM1cp5zwwitPr8AibjZMH92P08aFRx65YS0tQaTQ4bFa0RiMFWa70zyqtji5DK//WWrryqFUKLw1y9XicO9irbPulQU3rJAkEwLJlywgPDyc8PJyOHTuyadMmvvvuO4+02TWVn5/vrvPsV9kco6r069eP8PBw+vfv7+7lKDNx4kTUajVNmzYlODiYI0eOVKs9gwcP5j//+Q8zZ86kWbNmfPjhhyQmJnrc47x582jfvj133XUXTZs25emnny7XKzJ27FisVmu5eVYajYZ33nmHDz/8kIiICG699VbAFQB+/PHHJCYm0qJFC3r27ElSUpI7RbmPjw8zZsygXbt2tG/fnkOHDrF06dJKA8unnnqK++67j5EjR9K5c2d8fHwYMmSIR5np06dz++23c99999G2bVv279/Pzz//jL+/PwABAQF88cUXLF26lBYtWvD1118zZcqUcteKi4vjtttuY8CAAdx44420bNnSI136uV555RVeeOEFpk2bRnx8PAkJCSxZssR9r5GRkbz88ss8++yzhIaGMn78+ErrkqpHERWlE6pj+fn5+Pr6kpeXh9lsvtiXlyRJkq5yHzx4H0W5OR77dF5eWIuLPQsqCghBYL1oso6WXwy0eZ8b6f/ghLpsqlSJun5WWLYzjZd/3O2RFCLc18BLg5qS0Dy81q93uSosLCQyMpLExER3lrjLxeeff84TTzzBiRMn3MPNJOlSkcPzJEmSpKtOx9uG8+unH4BKBacnp1uLi0GlBudZ32af/t4w61gF36ArigyYrmIJzcO5oWkYGw9mk1FQSoiPa0heXfUwXW6cTienTp1i1qxZ+Pn5ccstt1zqJrkVFxeTlpbG9OnTefDBB2XAJF0WZNAkSZIkXXWMPqd7Js7N5uV0YDSby63DRAWDLm55YnIdtU66XKhVCp0b1u2isperI0eOEBsbS1RUFElJSe6EE5eDGTNm8Nprr9GjRw8mT5Z/D6XLgxyeJ0mSJF1VnA4H/x0zHHvpmWFXar0BYbfjdNirVcfQF1+nfrOW5y8o1Rn5rCBJ0uVEJoKQJEmSrhp71v3OW3ff6hEwATgspTgddrSG6qWRDm9YcRpkSZIk6dokgyZJkiTpqrH07RlVHreVVrBgqaKgNXgutqmRcygkSZKks8igSZIkSbpqDHjs6UqPqdRqQhs2QlGpPQ8Iga30zMKi5qBgLsHIdUmSJOkyJuc0SZIkSVcVp8OBSq0m/cB+vvr3RMR55jFp9HrsFgsA1w8cTK8R4y5GM6XzkM8KkiRdTmRPkyRJknRVUaldPUlhDeJ4/PN59Bn9oMdxg48Zn6BgTIHBAHS7cwTm4BC6DLuXHveOvujtlSRJki5/l09+SUmSJEmqZSq1mjYJgwiNjeN/rzyPw2alw+BhtBt4KyX5eWSnHSe0QRzmwGBWfjqbdoOGoNKpz1+xJEmSdE2RPU2SJEnSVS+iSTx3TplOWFxjfv/8Y5Z/+A4fPDSS35I+QkEhJLYh7W4egkYrE0BIV48pU6bQunXrS90MSboqyKBJkiRJuiaExTXmjudfISCyHiExDeh2571ENIlHpVHjGxJKu0G3oSjKpW6mdJUbNWoUiqKUeyUkJPyjehVFYcGCBbXTyIsgJiaGt99++1I3Q5KqTQ7PkyRJkq4Zei8TkU3iUak1rPv+G/qMeRDVudn0pGuH0wGH10LhSfAOhegucBE+DwkJCSQmJnrs0+v1FZa12Wxotdo6b1MZq9WKTqbcl6RyZE+TJEmSdE258cEJtLrhJgZOmERcu06XujnSpbJ7EbzdHObeDPPGuv58u7lrfx3T6/WEhYV5vPz9/QFXj9Hs2bO55ZZbMJlMvPrqq8TFxTFz5kyPOpKTk1EUhf379xMTEwPAkCFDUBTFvV3m888/JyYmBl9fX+68804KCgrcx3r16sX48eN5/PHHCQoKon///gCsXr2aDh06oNfrCQ8P59lnn8VuP5OJ0ul0MmPGDOLi4tDr9dSvX5/XXnsNgD59+jB+/HiPNmRmZqLT6Vi5ciW9evXi8OHDPPHEE+6etjJ//vkn3bt3x2g0Uq9ePSZMmEBRUdE/e8MlqRbIoEmSJEm6JsW174TRR6ayvibtXgT/GwH5Jzz356e59l+EwKkqU6ZMYciQIezYsYOxY8cyZsyYcj1TiYmJ9OjRg7i4ODZt2uTel5aW5t4GSE1NZcGCBSxevJjFixezevVqpk+f7lHX3Llz0el0rFmzhg8++IDjx48zYMAA2rdvz7Zt25g9ezaffPIJr776qvucyZMnM336dF544QV2797NV199RWhoKADjxo3jq6++wnI6lT/AF198QWRkJH369GH+/PlERUUxdepU0tLSSEtLc7c1ISGB22+/ne3bt/Ptt9/y559/lgvAJOmSEJdAXl6eAEReXt6luLwkSZIkSZe5OntWcNiFmHWdEC+ZK3n5CjEr3lWuDowcOVKo1WphMpk8Xq+99poQQghAPP744x7nHD9+XKjVarFhwwYhhBBWq1UEBQWJpKQkdxlA/PDDDx7nvfTSS8LLy0vk5+e7902aNEl07NjRvd2zZ0/Rpk0bj/Oee+450aRJE+F0Ot373nvvPeHt7S0cDofIz88Xer1ezJkzp8J7LCkpEf7+/uLbb79172vZsqWYMmWKezs6Olq89dZbHueNHTtWPPDAAx77/vjjD6FSqURJSUmF15Kki0XOaZIkSZIk6dpxeG35HiYPAvKPu8rFdq+TJvTu3ZvZs2d77AsICHD/3K5dO49jERERDBw4kE8//ZQOHTrw448/YrFYGDp06HmvFRMTg4+Pj3s7PDycjIwMjzLXX3+9x/aePXvo3Lmzx7C5rl27UlhYyLFjx0hPT8disdC3b98Kr2kwGLjvvvv49NNPGTZsGFu3bmXnzp0sWlR1D962bdvYvn07X375pXufEAKn08nBgweJj48/7/1KUl2RQZMkSZIkSdeOwpO1W+4CmEwm4uLiqjx+rnHjxnHffffx1ltvkZiYyPDhw/Hy8jrvtc5NIqEoCk6n87zXq4rRaDxvmXHjxtG6dWuOHTtGYmIiffr0ITo6uspzCgsLefDBB5kwYUK5Y/Xr169RGyWptsmgSZIkSZKka4d3aO2Wu0gGDBiAyWRi9uzZLFu2jN9//93juFarxeFw1Mq14uPjmTdvHkIId2/TmjVr8PHxISoqipCQEIxGIytXrmTcuHEV1tGiRQvatWvHnDlz+Oqrr3j33Xc9jut0unLtbdu2Lbt3764yoJSkS0UmgpAkSZIk6doR3QXMEUBla3IpYI50lasjFouF9PR0j9epU6eqPEetVjNq1CgmT55Mo0aN6Ny5s8fxmJgYVq5cSXp6Ojk5Of+off/61784evQojz76KH///TcLFy7kpZde4sknn0SlUmEwGHjmmWd4+umn+eyzz0hNTWX9+vV88sknHvWMGzeO6dOnI4RgyJAh5dr7+++/c/z4cfe9P/PMM6xdu5bx48eTnJzMvn37WLhwoUwEIV0WZNAkSZIkSRXIy0inOD/vUjdDqm0qNSS8cXrj3MDp9HbC9Dpdr2nZsmWEh4d7vLp163be88aOHYvVamX06NHljs2aNYtffvmFevXq0aZNm3/UvsjISJYuXcrGjRtp1aoVDz30EGPHjuXf//63u8wLL7zAU089xYsvvkh8fDzDhw8vN1fqrrvuQqPRcNddd2EwGDyOTZ06lUOHDtGwYUOCg4MBaNmyJatXr2bv3r10796dNm3a8OKLLxIREfGP7keSaoMihBAX+6L5+fn4+vqSl5eH2SzTvUqSJEmXl7yMdD5+1DXs6KlvF1/i1lyb6vxZYfciWPaMZ1IIc6QrYGp6S+1frxb88ccf9O3bl6NHj7rTe1/OyoKiTZs20bZt20vdHEn6R+ScJkmSJEk6x9kT5WcNv1kGTlejprfAdQNdWfIKT7rmMEV3qdMepgtlsVjIzMxkypQpDB069LIPmGw2G1lZWfz73/+mU6dOMmCSrgpyeJ4kSZIkncM/LIKud45wb88afvMlbI1UZ1RqV1rxFne4/rwMAyaAr7/+mujoaHJzc5kxY8albs55rVmzhvDwcDZt2sQHH3xwqZsjSbVCDs+TJEmSpEqsX/Ada76eiykwiIfeT7rUzbmmyGcFSZIuJzJokiRJkiTpsiOfFSRJupzI4XmSJEmSJEmSJElVkEGTJEmSJEmSJElSFWTQJEmSJEmSJEmSVAUZNEmSJEmSJEmSJFVBBk2SJEmSJEmSJElVkEGTJEmSJEmSJFXToUOHUBSF5OTkS92US2LKlCm0bt26VutMSkrCz8/vol+3JmTQJEmSJEnSNcnhdLApfRNLDyxlU/omHE5HnV5v1KhRKIrCQw89VO7YI488gqIojBo1qk7bUNsuhwBi1apVKIpS4Ss9Pf0f1T1q1CgGDx5cOw2tZYqisGDBgkvdjMtWbX82NbVSiyRJkiRJ0hVkxeEVTN84nZPFJ937Qr1CebbDs/SL7ldn161Xrx7ffPMNb731FkajEYDS0lK++uor6tevX2fXvdIpisLBgweJiYmptExKSkq5Nb1CQkIqLGu1WtHpdLXZROkqJ3uaJEmSJEm6pqw4vIInVz3pETABZBRn8OSqJ1lxeEWdXbtt27bUq1eP+fPnu/fNnz+f+vXr06ZNG4+yFouFCRMmEBISgsFgoFu3bmzatMl9vKyHZeXKlbRr1w4vLy+6dOlCSkqKRz2zZ8+mYcOG6HQ6mjRpwueff+5xPDc3lwcffJDQ0FAMBgPNmzdn8eLFFBUVYTab+f777z3KL1iwAJPJREFBAbGxsQC0adMGRVHo1auXu9zHH39MfHw8BoOB6667jvfff999zGq1Mn78eMLDwzEYDERHRzNt2rQLe1NPCwkJISwszOOlUrkedct6jF577TUiIiJo0qQJU6dOpXnz5uXqad26NS+88AJTpkxh7ty5LFy40N1ztWrVKne5AwcO0Lt3b7y8vGjVqhXr1q3zqGfevHk0a9YMvV5PTEwMs2bN8jhusVh45plnqFevHnq9nri4OD755BOEEMTFxTFz5kyP8snJySiKwv79+93B45AhQ1AUxSOYXLhwIW3btsVgMNCgQQNefvll7HY7AEIIpkyZQv369dHr9URERDBhwoQq39fp06cTGhqKj48PY8eOpbS01OO40+lk6tSpREVFodfrad26NcuWLXMfL/uc5ubmlruXQ4cOedS1YMECGjVqhMFgoH///hw9erTKtlX1Gavqs3lBxCWQl5cnAJGXl3cpLi9JkiRJ0mWurp4V7A676Pu/vqJ5UvMKXy2SWoh+/+sn7A57rV5XCCFGjhwpbr31VvHmm2+Kvn37uvf37dtXvPXWW+LWW28VI0eOdO+fMGGCiIiIEEuXLhW7du0SI0eOFP7+/iIrK0sIIcRvv/0mANGxY0exatUqsWvXLtG9e3fRpUsXdx3z588XWq1WvPfeeyIlJUXMmjVLqNVq8euvvwohhHA4HKJTp06iWbNmYvny5SI1NVX8+OOPYunSpUIIIe6//34xYMAAj/u45ZZbxIgRI4QQQmzcuFEAYsWKFSItLc3dti+++EKEh4eLefPmiQMHDoh58+aJgIAAkZSUJIQQ4v/+7/9EvXr1xO+//y4OHTok/vjjD/HVV19V+t4B4uDBgxUeK3sfcnJyqnzvvb29xX333Sd27twpdu7cKY4ePSpUKpXYuHGju9zWrVuFoigiNTVVFBQUiGHDhomEhASRlpYm0tLShMViEQcPHhSAuO6668TixYtFSkqKuOOOO0R0dLSw2WxCCCE2b94sVCqVmDp1qkhJSRGJiYnCaDSKxMRE97WGDRsm6tWrJ+bPny9SU1PFihUrxDfffCOEEOK1114TTZs29biHCRMmiB49egghhMjIyBCASExMFGlpaSIjI0MIIcTvv/8uzGazSEpKEqmpqWL58uUiJiZGTJkyRQghxHfffSfMZrNYunSpOHz4sNiwYYP46KOPKn3fvv32W6HX68XHH38s/v77b/H8888LHx8f0apVK3eZN998U5jNZvH111+Lv//+Wzz99NNCq9WKvXv3Vvr7+euvvzx+p4mJiUKr1Yp27dqJtWvXis2bN4sOHTp4fJZfeuklj+ue7zNW2WfzQsmgSZIkSZKky05dPStsTNtYacB09mtj2sbzV1ZDZUFTRkaG0Ov14tChQ+LQoUPCYDCIzMxMj6CpsLBQaLVa8eWXX7rPt1qtIiIiQsyYMUMIceZhdMWKFe4yS5YsEYAoKSkRQgjRpUsXcf/993u0Y+jQoe5A6OeffxYqlUqkpKRU2OYNGzYItVotTpw4IYQQ4uTJk0Kj0YhVq1YJIYQ7gPjrr788zmvYsGG5IOiVV14RnTt3FkII8eijj4o+ffoIp9NZrfeuOkGTyWTyeJ0ddIwcOVKEhoYKi8Xice5NN90kHn74Yff2o48+Knr16uVx3q233upxTtk9f/zxx+59u3btEoDYs2ePEEKIu+++W9xwww0e502aNMndppSUFAGIX375pcJ7On78uFCr1WLDhg1CCNfvPigoyB0QlL0nP/zwg8d5ffv2Fa+//rrHvs8//1yEh4cLIYSYNWuWaNy4sbBarRVe91ydO3cW//rXvzz2dezY0SN4iYiIEK+99ppHmfbt27vPq27QBIj169e7y+zZs0cA7vfg3KDpfJ+xyj6bF0oOz5MkSZIk6ZqRWZxZq+UuRHBwMAMHDiQpKYnExEQGDhxIUFCQR5nU1FRsNhtdu3Z179NqtXTo0IE9e/Z4lG3ZsqX75/DwcAAyMjIA2LNnj0cdAF27dnXXkZycTFRUFI0bN66wrR06dKBZs2bMnTsXgC+++ILo6Gh69OhR6f0VFRWRmprK2LFj8fb2dr9effVVUlNTAddwueTkZJo0acKECRNYvny5Rx033XSTx7kAzZo1c283a9as3HX/+OMPkpOT3a+lS5d6HG/RokW5eUz3338/X3/9NaWlpVitVr766ivGjBlT6b2d7ULe93379uFwOEhOTkatVtOzZ88K646IiGDgwIF8+umnAPz4449YLBaGDh1aZZu2bdvG1KlTPd67+++/n7S0NIqLixk6dCglJSU0aNCA+++/nx9++ME9dK8ie/bsoWPHjh77Onfu7P45Pz+fEydOVPkZqy6NRkP79u3d29dddx1+fn4V1lOdz1htq3EiiJKSErZs2UJAQABNmzb1OFZaWsr//vc/RowYUWsNlCRJkiRJqi3BXsG1Wu5CjRkzhvHjxwPw3nvv/aO6tFqt+2dFUQDXPJPqKEtGUZVx48bx3nvv8eyzz5KYmMjo0aPd16lIYWEhAHPmzCn3wK1WqwHX3K6DBw/y008/sWLFCoYNG0a/fv3c86c+/vhjSkpK3Oc1atSIpUuXEhkZCXjec5nY2Ngq01abTKZy+wYNGoRer+eHH35Ap9Nhs9m44447Kq3jbBfjfb/vvvt46623SExMZPjw4Xh5eVV5TmFhIS+//DK33XZbuWMGg4F69eqRkpLCihUr+OWXX/jXv/7F//3f/7F69eoK39PaUDavTAjh3mez2f5RndX5jNW2GvU07d27l/j4eHr06EGLFi3o2bMnaWlp7uN5eXmMHj261hspSZIkSZJUG9qGtCXUKxSFih/6FRTCvMJoG9K2TtuRkJCA1WrFZrPRv3//csfLEjesWbPGvc9ms7Fp06ZyX1pXJT4+3qMOgDVr1rjraNmyJceOHWPv3r2V1nHvvfdy+PBh3nnnHXbv3s3IkSPdx8p6bhyOM+naQ0NDiYiI4MCBA8TFxXm8yibnA5jNZoYPH86cOXP49ttvmTdvHtnZ2QBERkZ6nAcQHR3t3o6Ojq72e1AVjUbDyJEjSUxMJDExkTvvvNMjoNHpdB73Vl2Vve+NGzdGrVbTokULnE4nq1evrrSOAQMGYDKZmD17NsuWLSvXA6bVasu1rW3btqSkpJR73+Pi4tzBi9FoZNCgQbzzzjusWrWKdevWsWPHjkrvY8OGDR771q9f7/7ZbDYTERFR5WcsONj1BcTZMUNFacDtdjubN292b6ekpJCbm0t8fHy5stX5jFX02fwnatTT9Mwzz9C8eXM2b95Mbm4ujz/+OF27dmXVqlUyTaYkSZIkSZc9tUrNsx2e5clVT6KgIDjz7XdZIPVMh2dQq+rm22p3O9Rq97Cjir4ZN5lMPPzww0yaNImAgADq16/PjBkzKC4uZuzYsdW+zqRJkxg2bBht2rShX79+/Pjjj8yfP58VK1wZAnv27EmPHj24/fbbefPNN4mLi+Pvv/9GURQSEhIA8Pf357bbbmPSpEnceOONREVFuesPCQnBaDSybNkyoqKiMBgM+Pr68vLLLzNhwgR8fX1JSEjAYrGwefNmcnJyePLJJ3nzzTcJDw+nTZs2qFQqvvvuO8LCws67wGlVMjIyymV2CwwMPG8Pyrhx49wP5uc+/MfExPDzzz+TkpJCYGAgvr6+1WrLU089Rfv27XnllVcYPnw469at491333Vnd4uJiWHkyJGMGTOGd955h1atWnH48GEyMjIYNmwY4PpcjBo1ismTJ9OoUSOPYXFldaxcuZKuXbui1+vx9/fnxRdf5Oabb6Z+/frccccdqFQqtm3bxs6dO3n11VdJSkrC4XDQsWNHvLy8+OKLLzAajZUGoY899hijRo2iXbt2dO3alS+//JJdu3bRoEEDd5lJkybx0ksv0bBhQ1q3bk1iYiLJycl8+eWXAMTFxVGvXj2mTJnCa6+9xt69e8tlEgRXEPjoo4/yzjvvoNFoGD9+PJ06daJDhw4Vtu18n7HKPpsXrCYToEJCQsT27dvd206nUzz00EOifv36IjU1VaSnpwuVSnXeemQiCEmSJEmSqlLXzwq/HPqlXBa9fv/rJ345VPHE/NpQUVKBs52bPa+kpEQ8+uijIigoSOj1etG1a1ePTG/VmWAvhBDvv/++aNCggdBqtaJx48bis88+87huVlaWGD16tAgMDBQGg0E0b95cLF682KPMypUrBSD+97//lWv3nDlzRL169YRKpRI9e/Z07//yyy9F69athU6nE/7+/qJHjx5i/vz5QgghPvroI9G6dWthMpmE2WwWffv2FVu3bq30vTn3ns5W9j5U9Fq3bp0Q4vzvfffu3UWzZs3K7c/IyBA33HCD8Pb2FoD47bffKkwwkJOT4z5e5vvvvxdNmzYVWq1W1K9fX/zf//2fR90lJSXiiSeeEOHh4UKn04m4uDjx6aefepRJTU0VgDv5x9kWLVok4uLihEajEdHR0e79y5YtE126dBFGo1GYzWbRoUMHd4a8H374QXTs2FGYzWZhMplEp06dPBKJVOS1114TQUFBwtvbW4wcOVI8/fTTHgkZHA6HmDJlioiMjBRarVa0atVK/PTTTx51/Pnnn6JFixbCYDCI7t27i++++65cIghfX18xb9480aBBA6HX60W/fv3E4cOH3XWcmwhCiKo/Y0JU/tm8EIoQZw0wPA+z2cyGDRvKdZONHz+ehQsX8tVXX9GrV6/zdoPl5+fj6+tLXl5euUXIJEmSJEmSLsazgsPpYGvGVjKLMwn2CqZtSNs672G6Un3++ec88cQTnDhx4qpbFFYIQaNGjfjXv/7Fk08+eamb4+GPP/6gb9++HD16lNDQ0EvdnGtajYbnXXfddWzevLlc0PTuu+8CcMstt9ReyyRJkiRJkuqQWqWmfVj78xe8hhUXF5OWlsb06dN58MEHr7qAKTMzk2+++Yb09PTLal6+xWIhMzOTKVOmMHToUBkwXQZqlAhiyJAhfP311xUee/fdd7nrrruoQceVJEmSJEmSdBmbMWMG1113HWFhYUyePPlSN6fWhYSEMHXqVD766CP8/f0vdXPcvv76a6Kjo8nNzWXGjBmXujkSUKPhebVFDs+TJEmSJKkq8llBkqTLSY3XaTp06BC//PILVquVnj170rx587polyRJkiRJkiRJ0mWhRkHTb7/9xs033+xebEyj0fDpp59y77331knjJEmSJEmSJEmSLrUazWl64YUXuOGGGzh+/DhZWVncf//9PP3003XVNkmSJEmSJEmSpEuuRnOa/Pz8WLt2rXuF3+LiYsxmMydPniQwMLDaF5XjlCVJkiRJqop8VpAk6XJSo56m/Px8goKC3NteXl4YjUby8vJqvWGSJEmSJEmSJEmXgxoFTQA///wzixYtcr+cTicrV6702CdJkiRJkiRdu6ZMmULr1q0vdTMumZiYGN5+++1arbNXr148/vjjF/26kkuNg6aRI0cyePBg96ukpIQHH3zQvT1kyJC6aKckSZIkSdIVbdSoUSiKwvTp0z32L1iwAEVR3NurVq1CURRyc3Pd+06cOEGLFi3o0aPHBY3wKbv2ua+EhIQLvp8yiqKwYMGCf1xPbUtKSsLPz+9SN+Oydq0HtzVRo6DJ6XSe9+VwOOqqrZIkSZIkSbVGOBwUbdhI3uIlFG3YiLgIzzAGg4E33niDnJycap+TmppKt27diI6O5ueff8bX17dcmaSkJHr16lVlPQkJCaSlpXm8vv7660rL22y2ardRkq52Ne5pqorT6WTx4sW1WaUkSZIkSVKty1++nP19+3Fk5EhOTJzIkZEj2d+3H/nLl9fpdfv160dYWBjTpk2rVvnt27fTrVs3OnfuzIIFCzAajRd8bb1eT1hYmMfL39/ffVxRFGbPns0tt9yCyWTi1VdfJS4ujpkzZ3rUk5ycjKIo7N+/n5iYGACGDBmCoiju7TKff/45MTEx+Pr6cuedd1JQUOA+ZrFYmDBhAiEhIRgMBrp168amTZs8zt+1axc333wzZrMZHx8funfvTmpqKr///jtarZb09HSP8o8//jjdu3dn1apVjB49mry8PHev2pQpU9zXnThxIpGRkZhMJjp27MiqVavcdRw+fJhBgwbh7++PyWSiWbNmLF26tNL3NSMjg0GDBmE0GomNjeXLL78sV+bIkSPceuuteHt7YzabGTZsGCdPnnQfHzVqFIMHDy53L+cGwna7nfHjx+Pr60tQUBAvvPACVeV0y83NZdy4cQQHB2M2m+nTpw/btm0DXIH2yy+/zLZt29zvUVJSUqV1XetqJWjav38/zz33HFFRUXJ4niRJkiRJl7X85cs5/tjj2M954LafPMnxxx6v08BJrVbz+uuv89///pdjx45VWXbt2rX07NmT22+/nS+++AKNpkbLa16QKVOmMGTIEHbs2MHYsWMZM2YMiYmJHmUSExPp0aMHcXFx7iAnMTGRtLQ0j6AnNTWVBQsWsHjxYhYvXszq1as9hiY+/fTTzJs3j7lz57J161bi4uLo378/2dnZABw/fpwePXqg1+v59ddf2bJlC2PGjMFut9OjRw8aNGjA559/7q7PZrPx5ZdfMmbMGLp06cLbb7+N2Wx296pNnDgRgPHjx7Nu3Tq++eYbtm/fztChQ0lISGDfvn0APPLII1gsFn7//Xd27NjBG2+8gbe3d6Xv2ahRozh69Ci//fYb33//Pe+//z4ZGRnu406nk1tvvZXs7GxWr17NL7/8woEDBxg+fHiNfz9z585Fo9GwceNG/vOf//Dmm2/y8ccfV1p+6NChZGRk8NNPP7Flyxbatm1L3759yc7OZvjw4Tz11FM0a9bM/R5dSJuuGeICFRcXi7lz54ru3bsLlUolevbsKWbPni3S09PPe25eXp4ARF5e3oVeXpIkSZKki6ikoEDknkwXdptVJK/8WcwcNlAkPfWvOrteXT0rOO12sbdnL7G7yXUVv66LF3t79hJOu71WryuEECNHjhS33nqrEEKITp06iTFjxgghhPjhhx/E2Y9kv/32mwCETqcT9913X7XqTkxMFD179qzy2mq1WphMJo/Xa6+95i4DiMcff9zjvOPHjwu1Wi02bNgghBDCarWKoKAgkZSU5HHeDz/84HHeSy+9JLy8vER+fr5736RJk0THjh2FEEIUFhYKrVYrvvzyS/dxq9UqIiIixIwZM4QQQkyePFnExsYKq9Va4T298cYbIj4+3r09b9484e3tLQoLC93via+vr8c5hw8fFmq1Whw/ftxjf9++fcXkyZOFEEK0aNFCTJkypcJrnislJUUAYuPGje59e/bsEYB46623hBBCLF++XKjVanHkyBF3mV27dnmcd/Zno8xjjz3m8Tvt2bOniI+PF06n073vmWee8XgPoqOj3df9448/hNlsFqWlpR71NmzYUHz44YdCCNfvqVWrVtW612tdjb+y2LRpEx9//DHffPMNDRs25J577mHt2rW8//777vWbJEmSJEm6Opw6doSTB1JZ9t6s8seOHr4ELfpnijdvKdfD5EEI7OnpFG/egqljhzprxxtvvEGfPn3cvR8VufXWW/nhhx/4448/6N69u8exI0eOeDx32e12bDabR4/Ic889x3PPPefe7t27N7Nnz/aoJyAgwGO7Xbt2HtsREREMHDiQTz/9lA4dOvDjjz9isVgYOnToee8xJiYGHx8f93Z4eLi7ByY1NRWbzUbXrl3dx7VaLR06dGDPnj2Aaxhg9+7d0Wq1FdY/atQo/v3vf7N+/Xo6depEUlISw4YNw2QyVdqmHTt24HA4aNy4scd+i8XiXnN0woQJPPzwwyxfvpx+/fpx++2307Jlywrr27NnDxqNhuuvv96977rrrvNIQLFnzx7q1atHvXr13PuaNm2Kn58fe/bsoX379pW291ydOnXySBrSuXNnZs2ahcPhQK1We5Tdtm0bhYWF5dZSLSkpITU1tdrXlFxqFDS1bNmS/Px87r77btauXUuzZs0AePbZZ+ukcZIkSZIk1Z4NP/wPc3AI8d16lTtms5Si1Rs4tG0rxXm5BEXH8vnTj1ZZ393T/1NHLa079szMWi13oXr06EH//v2ZPHkyo0aNqrDMhx9+yNNPP81NN93E0qVL6dGjh/tYREQEycnJ7u358+czb948j/k05wZEJpOJuLi4KttVUcAxbtw47rvvPt566y0SExMZPnw4Xl5e573Hc4MdRVFwOp3nPa/M+eZvhYSEMGjQIBITE4mNjeWnn37ymJtUkcLCQtRqNVu2bCkXZJQFnOPGjaN///4sWbKE5cuXM23aNGbNmsWjj1b99+GfUKlU5eYm/dNEHIWFhYSHh1f4nsisgjVXo6ApJSWF4cOH07t3b9mrJEmSJElXgM+efpTMwwfd24H1ojF4+5D882I63X43i2a+ikBQlJONSqOhZd8EUrdsoOBU1UGDotMRHtuwrptf6zTBwbVa7p+YPn06rVu3pkmTJhUeVxSFjz76CJVKxYABA1iyZAk9e/Z0tU+j8QiAQkJCMBqN5w2KLsSAAQMwmUzMnj2bZcuW8fvvv3sc12q1Nc6e3LBhQ3Q6HWvWrCE6OhpwBQmbNm1yr0XUsmVL5s6di81mq7S3ady4cdx1111ERUXRsGFDj54rnU5Xrl1t2rTB4XCQkZFRrvfubPXq1eOhhx7ioYceYvLkycyZM6fCoOm6667DbrezZcsWd49RSkqKR7r4+Ph4jh49ytGjR929Tbt37yY3N9f9PB0cHMzOnTs96k5OTi533xs2bPDYXr9+PY0aNSoXAAK0bduW9PR0NBpNuQQdZSp6j6SK1SgRxIEDB2jSpAkPP/wwUVFRTJw4kb/++sujm1CSJEmSpMvHuXm1so4e5o+vP+Po7p2s/OQ9CnOyKMrJRq3VEduqLWEN4wisV58mXXpUWF8Zg95Qd42uQ17trkcTFgaVPbsoCpqwMLzaXV/x8VrUokUL7rnnHt55551KyyiKwgcffMCIESMYMGDAeXtSqmKxWEhPT/d4nTp16rznqdVqRo0axeTJk2nUqBGdO3f2OB4TE8PKlStJT0+vdip1k8nEww8/zKRJk1i2bBm7d+/m/vvvp7i4mLFjxwKuhA35+fnceeedbN68mX379vH555+TkpLirqd///6YzWZeffVVRo8eXa5dhYWFrFy5klOnTlFcXEzjxo255557GDFiBPPnz+fgwYNs3LiRadOmsWTJEsCVte7nn3/m4MGDbN26ld9++434+PgK76NJkyYkJCTw4IMPsmHDBrZs2cK4ceM8esn69evn/l1v3bqVjRs3MmLECHr27OkeDtmnTx82b97MZ599xr59+3jppZfKBVHgGpb55JNPkpKSwtdff81///tfHnvssQrb1q9fPzp37szgwYNZvnw5hw4dYu3atTz//PNs3rzZ/R4dPHiQ5ORkTp06hcViqdbv71pUo6ApMjKS559/nv379/P555+Tnp5O165dsdvtJCUlsXfv3rpqpyRJkiRJF+DmCU+7f67fui2dbr+TQY8/zYOz53LTI0/S8bbhhMbGMWLGOwx++kU2L15AVJNm3PzY02gMFQ+PuuP5V7n/3U8v1i3UKkWtJvS5yac3zgmcTm+HPjcZpYJv7uvC1KlTzztkTVEU3nvvPUaPHs3AgQP57bffLuhay5YtIzw83OPVrVu3ap07duxYrFZrucAEYNasWfzyyy/Uq1ePNm3aVLs906dP5/bbb+e+++6jbdu27N+/n59//tmdBj0wMJBff/2VwsJCevbsyfXXX8+cOXM8el9UKhWjRo3C4XAwYsQIj/q7dOnCQw89xPDhwwkODmbGjBmAK9PfiBEjeOqpp2jSpAmDBw9m06ZN1K9fHwCHw8EjjzxCfHw8CQkJNG7cmPfff7/S+0hMTCQiIoKePXty22238cADDxASEuI+rigKCxcuxN/fnx49etCvXz8aNGjAt99+6y7Tv39/XnjhBZ5++mnat29PQUFBufsBGDFiBCUlJXTo0IFHHnmExx57jAceeKDCdimK4h7WOXr0aBo3bsydd97J4cOHCQ0NBeD2228nISGB3r17ExwcXOW6Xdc6RZw7gLKG8vLy+PLLL/n000/ZunUrzZs3Z/v27VWek5+fj6+vL3l5eZjN5n9yeUmSJEmS6siHD4+kKC/3zKKvag03jnuEFn1uqPNr1/WzQv7y5Zx8fZpHUghNWBihz03GfOONtX69K90ff/xB3759OXr0qPuB+3IxduxYMjMzWbRo0aVuinQV+8dB09mSk5P59NNPq+xmBhk0SZIkSdKVICftONnHjxES2xCTvz8q1cXpfYGL86wgHA5XNr3MTDTBwXi1u/6i9TBdKSwWC5mZmYwcOZKwsLAKF269VPLy8tixYwc33HADixYt4oYb6j6Yl65dtRo0VZcMmiRJkiRJqop8Vrg8JCUlMXbsWFq3bs2iRYuIjIy81E1y69WrFxs3buTBBx/krbfeutTNka5yNQqa+vTpc/4KFYWVK1dWWUb+j1CSJEmSpKrIZwVJki4nNUo5vmrVKqKjoxk4cGClqR8lSZIkSZIkSZKuJjUKmt544w0SExP57rvvuOeeexgzZgzNmzevq7ZJkiRJkiRJkiRdcjVKOT5p0iR2797NggULKCgooGvXrnTo0IEPPviA/Pz8umqjJEmSJEmSJEnSJfOPEkEUFxfz3Xff8d5777F7925OnDhRrXHHcpyyJEmSJElVkc8KkiRdTmrU03SurVu3snr1avbs2UPz5s3lPKdrmNPqQNjOWpxv4xz49CZK9+dSur96q4NLkiRJkiRJ0uWoRnOaAE6cOEFSUhJJSUnk5+dz7733smHDBpo2bVoX7ZMuQ8IpyF95BG2oF14tgwE4lbgTnAJbWjGmjmHovZtTVBRC6Sc7UIwaIl/sjLA5yV95BK92IWgCjTjyLACoDy3Ckm1G1/0G7NmlqAwaNL56nKV2FLWConWtmVGy6xT6hn6oDBocJTaK1qfh0y3SfVySJEmSJEmS6kKNhucNGDCA3377jRtvvJExY8YwcOBANJoax12yy/0KZD1eQM6CVALvuw6VRs2JqetBq+DVKgTr8QLsacVnCqsA5zkV6BTQa6DA5trWAHZApwKr3XWSXg12JyhgiPfHdrQIXX0fvNqFkrvkAI6TJQCY74ij4OfDiAIbfrc3wrt9mPsywuaQQZQkSdJV4Fp8VkhKSuLxxx8nNze3zq8VExPD448/zuOPP17n15Kkq0GNgiaVSkV4eDghISEoilJpua1bt1ZZzzXxP0JLIfz2KvR8Boz+l7o152U5ko8j14IuxkzJzlNoQ0zk/XII27FCcAoo+5RoVK7A5nJSFqTpVGB1ookyYe5ZD68WwTiLbai85LBRSZKkK83V+qwwatQo5s6dC4BWq6V+/fqMGDGC5557ji+++KLGQdOFBj81PW/KlCksWLCA5OTkGl1Hkq4WNeomevHFF6sMlq4Za/8LJbnQ94Xyx1a9AVuSILgxHFgF62eDf0Po9wIENoKQeFBUcBm9j0WbT1K6P4fSPdkIi6PqwpdbwARnerWsrh/sx4rI/vJvSttmU7w1g4B7rsOrRfCla58kSZJ0WXI6BWn7cinKt2Ay6wlv5IdKVff/PickJJCYmIjFYmHp0qU88sgjaLVawsPD6/zakiRdmBoFTVOmTKmjZlxhtF7gtFd8LO0vKDjhekV1hmPrICcVvhsNWhPYS8CvPtz5NYTGX7QmO0vtoIBKr8FpdWA9mo+wC/T1fMhbeRhnvgXOEy9daYq3ZoBaIfu7vZTsycYvIRa1WQdASUo22lAvNH4GnFYHKp0c0idJknQtSf0rgz++3UdRrsW9z+Snp/vwRjRsE1Kn19br9YSFuYaWP/zww/zwww8sWrSIBx980LONqak8+eSTrF+/nqKiIuLj45k2bRr9+vUDoFevXhw+fJgnnniCJ554AoCyAUR//vknkydPZvPmzQQFBTFkyBCmTZuGyWSqsE25ublMnDiRhQsXYrFYaNeuHW+99RatWrUiKSmJl19+GcD95XliYiKjRo2q9fdGki5XNcqe5+/vT0BAQLlXbGws/fv355dffqmrdl58pfmw7VsQArZ+BtOj4bsxrmF37ceCTzgkDoTcI/DHW/CfNpC5F0ryoM0ICGkKhrOHEwiwFYJwQM5BmN0JZjSCd66HjL8vuJnWYwWICnp/nBY7JXuyKD2YS8H6E5x4fT0Z7yYjnIKM95M5NWcnWYm7OPH6Bpw5pwOmy6fzq/Y4BFidlGzNIPPzXZyYuYlT/0sh66s95K08QuH6E6S9sp7MubtwFFjOX58kSZJ0xUv9K4NlH+70CJgAinItLPtwJ6l/ZVzU9hiNRqxWa7n9hYWFDBgwgJUrV/LXX3+RkJDAoEGDOHLkCADz588nKiqKqVOnkpaWRlpaGuAKthISErj99tvZvn073377LX/++Sfjx4+vtA1Dhw4lIyODn376iS1bttC2bVv69u1LdnY2w4cP56mnnqJZs2bu6wwfPrxu3gxJukzVqKfp7bffrnB/bm4uW7Zs4eabb+b7779n0KBBtdG22lWSA9Zi0JnA6Hdmf8YemH8/9J0CjVzf3LDwEdi7HIoy4IcHzpTdNc/1ajcGDv4BWftg06ew+wfIOQRf3AGWPIjrB9u+hozdVbepOANKs8/MeTq8FsJbw/HNMO9+uOc7CG9Z6elOi52M95PxHxyLybAOEX8LmZ/+jaJTY9mXg9rPgMqgxnaiiGM4UWUVY3/uzzMVKID9rCltF7xi12mn5xapA/Q4si3l9v9jCqBVwHphDbUfKwQBpadKASjZfBJdiAnhdGLZk03aaxsJfbwt2rCKv4WTJEmSrnxOp+CPb/dVWebP/+0jtlVwnQ/VE0KwcuVKfv75Zx599NFyx1u1akWrVq3c26+88oq7V2r8+PEEBASgVqvx8fFx91wBTJs2jXvuucc9X6lRo0a888479OzZk9mzZ2MwGDyu8+eff7Jx40YyMjLQ6/UAzJw5kwULFvD999/zwAMP4O3tjUaj8biOJF1LahQ0jRw5ssrjrVu3Ztq0aZdH0GS3wKcJcGIbmAJdAVCZwR9C6zvh0/5wZAOo9XBiCzToBRs/gr++qLhO7zAoPAnpO6HzI/D3EugyHqK7wLcjIO+wq9yvU6vZSBU4HfDbNNccqT0LodczsG85IEB/uqeqOBsWPwE3vuoKqMJbQe4RVCFNCZ3QFo1jP8y5H+6PQxvmgy2zBHWwEcfJEvzub47lYB7vr/ibh50GQA1a0NUzYz2QX6O31Kz+DJtoSImza5XlPAImqJ2ACVxB3fkCJm8NFLqGInoEgWV9qhoVCIHaV4//bXGU/J3tMSzRml50wUGT5Ug+ilqFLtL7gs6XJEmS6l7avtxyPUznKsyxkLYvl8gmdZPIafHixXh7e2Oz2XA6ndx9991MmTKF7777zrMdhYVMmTKFJUuWkJaWht1up6SkxN3TVJlt27axfft2vvzyS/c+IQROp5ODBw8SHx9frnxhYSGBgYEe+0tKSkhNTf2HdytJV4ea5wuvws0338yrr75am1XW3JENkDQQnLYz+4oyQOfjSsIQ2BBiurj2d3gQGvSGXs+6tnfOh58nl69TawKn1RWs+EbCX5+DrQi8guDTG0FjBEdJ1e3SmMBZ6hrup9aB3Yo7mtiaeKbcqmkw7lf45Ab4fhQ8sApOJMPeZXDwd9e5nf8Ff8yC7k+hbTsCPhoJd3+LEtkG/0iwHM4HFRStTcMQ7YuxoT8vphWiTskFBTRBRpwF5YcBVOisXiKFIhRcvTQY1FDqOQmqyAleXOJRfoWn55qdHTApnBW4OcEJjqxSTn2+p9w95Mzbiz27FGe+FVO7UOzZpRibB2E5mIfKpMWWVoSpTQjC5kQI4TEXqmDlERS9Gr9bGlK6LxdTHY+JlyRJkmquKL96Q7GrW+5C9O7dm9mzZ6PT6YiIiKh0+ZaJEyfyyy+/MHPmTOLi4jAajdxxxx0VDuU7W2FhIQ8++CATJkwod6x+/foVlg8PD2fVqlXljvn5+VXrniTpalerQZPFYkGn09VmlTVnt5wVMKlhzM/gHQh+0aA6Z7J/89vO/Lx3OXw/+sy2Sg9OC0S0hfhbYPcC2P8L9H0JJiTDl0Nd856yKvkGRtGAVzAUpYFXKBSfdAVZfV+C1TMg/yjlu0NO+7gfqFSQdwL+ez0kzACdN4S3gTZ3u9qdfRC8Al0BXdNb4egGV9B324dkf5uCykuDJtiI0+KgeH0ahv156KK8saYVoW/oh7PIjj2z9Kz7peIeobP25Tkedt2anw5FgNCoEIVngtPz9s9oFbD90zGA/9DZ93hWwKQK1OPMsqD2M1Cw6ihYnRRtSgMHaBv4YjuQh6FFEJaUbIzNAsmZtw97dgkhD7VCUbu6sQLvbQoKlOw8Rc68vagDDYhiO5oAA9oQr4t8o5IkSVJFTGZ9rZa7oDaYTMTFxZ233Jo1axg1ahRDhgwBXMHNoUOHPMrodDocDs8vANu2bcvu3burdY2y8unp6Wg0GmJiYiosU9F1JOlaUqNEEOfzySef0Lp169qssuZiu5+14XD1MgU0KB8wna04G74a6rnPaYGez0Lz2yGyLQx8E3pMAmMgfNDDNV8p7a/K69R5uQImcAVMAMWnYMMHVQdMrou7eqSEHRrdCKFNodENYPCGPYtcRQrSXEP6NDro+yJYiyDkOgBC/tUK4RSU/p2D9VgBRRvSUDQqrIcKUOk0WA/mU5KcUe6SVdKAykcLahC5Vpx5VkShDVPHs8Y2a87Tx3QxAya9Cvx0Vb/NZ3Fmub5RdGSWuFOXlw3bsx3IQx1oQO2nQwjBidc3YM8uwXa0kIyPtnMqaSdOqwPUCulvbSH7mxSwC069v42sz3eRuyiVGiyHJkmSJNWh8EZ+mPyqDoi8/V3pxy+1Ro0aMX/+fJKTk9m2bRt33303TqfnP9gxMTH8/vvvHD9+nFOnTgHwzDPPsHbtWsaPH09ycjL79u1j4cKFlSaC6NevH507d2bw4MEsX76cQ4cOsXbtWp5//nk2b97svs7BgwdJTk7m1KlTWCwyeZJ0balRT9OTTz5Z4f68vDy2bt3K3r17+f3332ulYRdMUeDhDbDwX655SsufB//6rsBJV0lfyP819Nzu8JArOUNcX1cPzvejocsEWP3G+a+v8wFrATjKemDKunAU1zC+jF2n9wvXXCpHJf/TCW8FacnQ5wVXADbkA8/j+1eAcLrmVOUeQWycQ37Ue+jDc9HHmPG/uSHZ3+8lZ3EqziwLhlZBGOMDsWcUU5qaW/OkD3ZwFtg896nAcrzQ9aO/3pWFr5pBSo3papAAQqOAxQk6UWttcWSVUrz5pCvwszmwHS9E0amwHS9EVd9M+v9twtg8sNw/ZjjBsj+X4l1ZmJoH1U5jriG2nBKKt57E3CdarhEnSVKtUKkUug9vxLIPd1ZaptuwRhdlvabzefPNNxkzZgxdunQhKCiIZ555hvx8z/nIU6dO5cEHH6Rhw4ZYLBaEELRs2ZLVq1fz/PPP0717d4QQNGzYsNKMd4qisHTpUp5//nlGjx5NZmYmYWFh9OjRg9DQUABuv/125s+fT+/evcnNzZUpx6VrjiJq8BV47969K9xvNptp0qQJDz/8MLGxseet56Kt8l2U7Qos3m4GXgFgKYbJh88c3/QpLH/BlQq8jNEfbMWgNkDDXmDwcyWGEDXpklZcAVr/1yB1lat3KLSpq2fIaXelLY/pDof+gLg+sHvhmfPKnvJ13tDtKdeaTnmHoftTnpfY+plrjlZRFjTujygtIOv7YwibE3tmMf5DGpG/6ijWQ/ngPF3n6fhN8dMhcs8aD61TneldKaPCFXxYBboGvtiOFYBWhSg6J8mCTnElV1BAcYCwOmov8cPlRs2ZpBEaBZVZhzPbgr5JAOgULDuyKj9Xr8L/1jgMjf1Re1/iIayXOafNyYkX1njs8783XgadknSNqetnhYrWafL219NtWN2v0yRJ0pWnRkFTbbloQVOZzBRXJr3SXHgpx5V+XAhIugUydpwp1+9l2PYNNOwDWz8H63myy/lEQmGaq3ep+e2w9ydXQNRjIqx5G0zBkLUffCJcw+g6/QuOrof9K8G/ATzwq6ueU/thzX9h5/euRA+l2a79itoVrJkj4ckK0pcfWgNJA+CRTRDcGICi5Axyvk3B1CEUv0FxFG1KJ/fHVHcgo4v1QR3iRcnm00MGy9ZnOv0pKBuG5si34cguAQfoYs1YD+ajBOgRZZnxzg6c/slcJY3imfa8MipcwZ1JA1nVTGJxISoKICtjVEGJE4xqV2BqOXOeolej8tHiOHVm3phiVCOsTrSRJgxNArCdKELx17OnxMn1CdEYfWQwBXDspTUe7yVA1PTulZSWJOlqdTGeFZxO4cqml2/BZHYNybscepgkSbr81GoiiMtWcBNX0GE93aP06U2A0xVMnW3/StD7QMpP5wmYFFdwM+htqN/pzCK29umuhBLz74fxm+DIOji5C3o+4xpi99s02LUQEBA/CI5uhHodYN/PsP0rCGrsGtanqKDklCuwq9cRujwG397nSk9+4yuuDIAAMV3hiV3gG+Vumal1CAW/HaU0JRdliArvzhEUbk7HfqIIBDgtDuw7s1C0akRZIoSymMWgxpFViiPrrAQRgDWrBMWkQaVWncnOfVbQpIQaEWnFHqm7KyZw59YrO//cgKmy4X1OoNQJpdUImFSnX/bzFy2nugETuAImQGXWoQs0YknNc/W0mdSoA71QtCocpXZ3Rj9R4gCtgu1IIYpGjfVAHnhpOFLqJL5LuAyaTtMEGLCnFbs2+gYSdUPTS9sgSZKuWiqVUmdpxSVJurpcGz1N5zq60RWQrHsXuk90pRnPPgQFxys/JzjeFdCoVBDdDeIHurLg+cfAbR+5yhRnw5w+YI6A+xa4epfO5nS4hv59N8b1Z+FJeHQzFJx0Zefzj4ElE+G6gbDjOwhqAm3vgz0/wsHV4LDCvfMgtsd5b1E4Bcrpb8uOvfAnilrlCpLUCsbWwaAolGw56QpQ1KcDGYfwzKJnON3rcnpKFgLQAmVTm5TT556np0ihEIEXnpUrVJicvCZzoupq/lRFTBooqiAKUyt4XR9Cyd85iPxq9oCpFbzaBFOamoszx3WOrr4PKQ6Bd24pLZ+4/pofwieEkHOYJOkad8mfFSRJks5ybfQ0nateB9ef9TuCrRTSt4Ojkm4JnS/0nAgHVrnShW/6yDVXSeflGjanPSuV9JInXXORBr9fPmACVwY/vQ9EtHIFSPVPrxflEwodH3T93KAPTItwDfc6ssb1AkBxLaJrr162GuXs4QUOgTpQj6JWsB0vwnayGEND3zMBh+P0D2cNldM18sORa3FlkzsrlwVn54KoqKeoAgINrm4fHZUmbCwb4leTIOhihvsVBUwADkHxxpPnXZxKHWTA3Ls+qCHnm72gUeM8K8iyHi1A74BARZA2fSOKRoVwCkytg/G/rXEt3siVQQZMkiRJkiRdTq7NnqYydit80h9OpbgWqz1XTA8Y9SNk/A2/vgJDPgS9d+X15R1zBTWBDSsvU2bxk3B4LTyy3rW9JQl+fAI0elBpXBn4KnLT/0FQI4hqX3VbzlK4KR17dimFvx117ahiDpIqQI8z14L5hhiMzQI5+eaWyiuu7nyks8s7hCt5hFEDubbzn1MdXmoovkzXjtCrUPvoMN8YQ85Xf6MY1AjLmWGR5gExICD/p0Nneu5UuDMFasJN7vWhAu9tikYO4ZMk6Rpx2TwrSJIkca32NJVRqV1zh84NmPR+oNVDwjT4bDDc8akrkFnypKt3qd9LFdd31tyiKh3b4gqSbptz1jXNrt4ra2H58oZAKD2dme2nSWf2m+u5es3iB7oSUVRC46cn96eDZ3qMbAJ35885fHpEUbI9k/xfDlG4/gSGloGUbj8nK1xZPWcHTApgUKCkiiBKOd2TZBFg+wcBk7cWzlpUVxvljW1vXvlyZcHhpVxU1+LEYSlFUStgOD2PrOz9U4G+vpmiTenor/PH8ncOmmAvNMFGco8Wsi2rlO7+OgqXuzI+pr+2AQB1sJGwJ6737E2UJEmSJEmS6kytLm57xVGpYcSPnvsC42DszzBxL2iNrt4clRoaJ4BPOBzb9M+vG9oMbnkHmt5yZl/z2+C54zD8S+j7MniHger04ntGM/hFe1QhwLVI7q55sOARsBZXejlNiBc+HcNRmbRndp4OmNRBBtSRZ9avyluQii29GMWkQ1gdWFLzQKdC8da4AiO9quKU4gKPgEnx14Jecc+XUoUbPYf2nS/fgqmCeF4B88BYcDhdKc59tKCi4oBJ4UygVPZnXX7aNaBv4ud5fa2C4qVBG2lCE2jEq1UwaFUEjmhK+L87YmgcQN6yQ6AoqE060IDjVAkafz3esWZCI72x7s0tdylHZgnHn/uT3CWpdXhDkiRJkiRJUplre3gewJ7F8O09oGhgwl+uhXAvB5kp8NVwCGvpWqQ37xiotK51p4TDnYdOAMIYiEqth66PQud/uc7P2ONax+ksOT+mUrTmRLlLKXo1mhAjTqfAcdzV6+Y3tBElu7Kw7M1BE2bCeqywstQNnusXVbCt8te5Ex5U6qwhdueuI6VvFojtcD7aMBOWw/kYmwZgaOxPwZoTeLUOJn/pIdd5wQZE5pnMf6pAPfhqcR6ooPeuLpT13p2doEJ/OlKzOl37NCp09b3x7hQOWjU536YQcE88Bb8ewZpeCCVOjG2DsezNxVlsqzK49LkxGt8+l8nnVZIkqZZdVs8KkiRd82TQJATkHXUtIns525QIy55xZdDT+yAsninR3cHM3f9z9Uq93xFGLYGYbginwHokH8WoIeOtra5y52TBU/RqhDi91pBe5UpEcdaQNnH6VWFnTU3WNqrK6TlShjbB2LNLsB/2DHZ8+kdTuisLQxN/rKeKse3Pw+lwgkpBsQtUPjqchTb3nCF1gB5HjsXVcL3KNZ/q7B6o2qYGxaBFFNlQBRlQnAJHnhUUgSbcG3t2KYHDmpAzfx9qLy3BD7Uk96eDGNuGkPf9PuynSs4ESWVv9OltQ+sgHNkW9E380df3QRNkROtvrJv7kCRJugxcVs8KkiRd867t4XkAinL5B0wA7UfDoP/A/Suh62MoxkCEWld+aaTwNhByHYz+yZ2dz3q0gMwPtoNDoIs1o/LRlsuC53X26uc2AXaBNtaMV5dwV1AFqDTn9DOpQFc2JM1L/c/v0ekKZkr/ysR+tHzvkN1ix3askIKVR7HsyMJZbHet3VTsQDFqECpQ+biG9RlaBWFsGezq9QJXMGgX5QMmYy20291+ECWuN9Z5qhRHtsUVqDnBEOMLRXaKNqYT/nR7gh9uhaJVY03NI+eLv9FG+sDZc5S0anfApI0yEXBHE0L/1Rq/vtEYGwXIgEmSJEm66KZMmULr1q0vdTOqLSkpCT8/P/f2ldZ+6fIig6YrSeu7IPJ6V0+Sw4KqwwNoGiegKGpQG+ChNeBzOviJ7gLZB8BahD7aTMhjbdFFeKP21mA2LQJKztTrraFoXZorsAA0IUbXQrjFNko2nUQXayZgRDw+N0ajCfU6s8SSE2xpRa7AoDZ6ms6uQlv+o1my6sw6WsYOYSgBeve2OsjoClROWVB8dZTuzKJk26nTmc4rSZhgVEOJo/LjNSVc96D469CEGDE0C3T1wilgaBKAvpEfjjwLilqFSqfGeqwAe2YJXi2D8O4YhjbMC1WAHlWAASyuhXBRgd+tjVBp5F9VSZKkK92oUaNQFAVFUdDpdMTFxTF16lTs9gtZjf3imzhxIitXrnRvjxo1isGDB1+6BknSRXRtZ8+7UrUcCvGDQGtwbaf+Chs/hq2fQ9t7IayFa//HfaDLo9BjErpwV7IHr2beGH76H5bItpQcN7qCn0LP/1nbS+2Yb46lYMURfHrVw9y3Phmzk7EeLXD1mrQMwmmxY03NRZTYzwx7O5d7QdxzstednvujCvPCmV5BAgut4grgqli81pqS4xpaeZrtcB6oFVQ+Wvf8KcN1/hRtSHOl7zapoeicfrmS09un03t7XO/sdXhrSORYsQP2jBLQq1BUKhw5pQSPbXGmvRnF6OubCX3qerTBXjhL7NizShElDoxtginJKcUQH4gjq9TdAydJkiTVLqfTwfE9uyjMzcHbz5/I+GaoVLU4AqECCQkJJCYmYrFYWLp0KY888gharZbJkyeXK2u1WtHpLp+lJry9vfH2rt5yJzVxud2nJFVEfn19pSoLmD5NgJ3zXFn+jm2CgpNnyoz+CTo86HGasXU0yuT9+D84hIB74ol8vRvaaB/PunOtIEAX6U3hpjSy5+3F2DIIXawv6FWU7jqFPtbX1YtTFgyVZaY4izrK5OrNOWdInOLlynpXFjCpws9aIFijeNZZCUeOxSNZhCtKEShaNV6dw9DGmPFNiMXQOth1vCxgOruNZesilSmLnby1roDJqEbRqf7Z3xKbE02oF44CCwW/HwPAeqKQk29uIW3GJlQG1/cWziIbwuokcHRT9LG++A5qQODQxoQ+2gZ9tBzLL0mSVNv2bVjLnEfG8r+pz7H0nf/jf1OfY84jY9m3YW2dXlev1xMWFkZ0dDQPP/ww/fr1Y9GiRcCZnpvXXnuNiIgImjRpAsCOHTvo06cPRqORwMBAHnjgAQoLzwxjt9vtTJgwAT8/PwIDA3nmmWcYOXKkRy+Q0+lk2rRpxMbGYjQaadWqFd9//737+KpVq1AUhZUrV9KuXTu8vLzo0qULKSkp7jJnD2+bMmUKc+fOZeHChe7es1WrVlWrvZXdZ0V+/PFH2rdvj8FgICgoiCFDhriPWSwWJk6cSGRkJCaTiY4dO7rbIEm1TQZNV7q2I6DtKLjtI3jgV2jU78yx0GZgqPiBW6VT49UiCEVRCB7dHO8eUXhdH4ISasB3SBzm7lEEjmgKDihOziDvx4NYU/Nc84IcUPj7MVQBesx3xKGLMWNoGXQ6O1zZBcCZXgKlDve2x/yisl4cBZxpruDJ755419DA0/s5dw5VVU7X7ci1ULw+HduhfNLe2Ih3+zB0DcxgOP1RPzsQE7h6ydybp/8rOj3hy+5EWE+3VaugBOrPBF0KKMF6zsvpuo/85UfIW3aQop2ZaMNN+N3RCG24F4r+zDea6mAj1hNF5C7Yj76eGUVbt992SpIkXav2bVjLojdfpzD7lMf+wuxTLHrz9ToPnM5mNBqxWs98Cbhy5UpSUlL45ZdfWLx4MUVFRfTv3x9/f382bdrEd999x4oVKxg/frz7nDfeeIMvv/ySxMRE1qxZQ35+PgsWLPC4zrRp0/jss8/44IMP2LVrF0888QT33nsvq1ev9ij3/PPPM2vWLDZv3oxGo2HMmDEVtnvixIkMGzaMhIQE0tLSSEtLo0uXLtVqb0X3WZElS5YwZMgQBgwYwF9//cXKlSvp0KGD+/j48eNZt24d33zzDdu3b2fo0KEkJCSwb9++ar33klQTcnjela713f+4CpVBg9+A2HL7FY0a0/UhWI8WuNZrAvdQPGFxIGxOdMEm9AkxOG1O1IEGin47dvpkBWE7a3zb6cVcAXd2O0xqvNuHUbjmONgg96s9rkBGp6D20eG0C0ShlfLZLiqgUbnWbzpnbpWzyI492+JKGFE2TPDcoXcKroVnS+yUqq14OfRookwIqxNHxum5XzaByLKcOUeAyDxruwq2QwXue89fcgB9lA+ObAuWvbkoWhW2k0UU787CkVFC8eaTRLzUGZVe/tWUJEmqC06ng1+TPqqyzG9zP6Jh+451OlRPCMHKlSv5+eefefTRR937TSYTH3/8sXu42pw5cygtLeWzzz7DZHINtX/33XcZNGgQb7zxBqGhofz3v/9l8uTJ7l6Yd999l6VLl7rrtFgsvP7666xYsYLOnTsD0KBBA/78808+/PBDevbs6S772muvubefffZZBg4cSGlpKQaDwaP93t7eGI1GLBYLYWFh7v1z5849b3srus+KvPbaa9x55528/PLL7n2tWrUC4MiRIyQmJnLkyBEiIiIAVyC3bNkyEhMTef3118//S5CkGpBPZlKlFLWCb4IrmCpYewJ7ZjHmfvUp3ppB3k8HwQm58/dhP1XsClosTlS+OpxFNpQQA+JEiWeFTlzD4RwCXWM/1D46Cn8/gb6xP7ZTJTjzra6gxypwFtrQRfhAsBGHU2A/kH9O4/DsNbKemQPlfUM0xZvSceZacJbYz/Sn2gTaej4YmwbgyLe6kl8ogOZ01j2rEy+Hq/dIG+GDNshA/sojYHGijw9AF+VNwW9HXb1tNXU6SHPkWEmfuRnUKvxuaUjugv0UbUwHwLtzBKZO4TJgkiRJqkPH9+wq18N0roKsUxzfs4t6zVrW+vUXL16Mt7c3NpsNp9PJ3XffzZQpU9zHW7Ro4RFI7Nmzh1atWrkDEICuXbvidDpJSUnBYDBw8uRJjx4YtVrN9ddfj9Pp+sdn//79FBcXc8MNN3i0xWq10qZNG499LVueuefw8HAAMjIyqF+/epmGz9fesqDp3PusSHJyMvfff3+Fx3bs2IHD4aBx48Ye+y0WC4GBgdVqqyTVhHw6k6rFp0uE+2fvzhGU7DyFLbMEgSultqJWoQrSEXh3PIVrj1O8OcNV2F8DOXYwqDA09HMtULs/F7WXFnt6MX63xZH7/T7MCTHk/3wIvDRQakdX3wdtsAnzgFiK/8og90C+OyhSR3qh0qiwnb2OkwBNrA/2gwUUbTiByHcNsctduB99Q18s2a5eIUexlfxfj6IyadDFmLEezgcbODMsriF+XmrUZj0lG9Ox1/N2ZxS051kQVgdqHx2OAguKl9Z9DcAVmJUtZlVFAgtXZQLsDnLn7XOdpwIcYGgTgjbEq4oTJUmSpH+qMDenVsvVVO/evZk9ezY6nY6IiAg0Gs9HsbODjdpSNp9oyZIlREZGehzT6z2Hmmu1WvfPiuIak14WfNWm6tyn0Vj58hqFhYWo1Wq2bNmCWu3ZI1gXySokSQZNUo0pGhUhD7cGQNicWI8XoujVaHx1qLy0mAfEYj1aiP1kMRS5/kcbdE9TDI38XRXccDoIsTjQhnihDfZCV98HTaABe3apq5cpypvcxQcoPZKP/Vihx5A6x/HiCkfs2Q8WuNpUZDtT3i6wpOS6yzhPD7FTfLRYD+W7AqWyyhxAsQNH8ekEFUYNKPCX8W+M2XqaqhtjbBlE0cZ0V8BUNu/KJlB8tGiCvLCl5lUdMJ1DHeKF02JHH+qNoZ7P+U+QJEmS/hFvP/9aLVdTJpOJuLi4apePj48nKSmJoqIid6CxZs0aVCoVTZo0wdfXl9DQUDZt2kSPHj0AcDgcbN261Z20oWnTpuj1eo4cOeIxFO+f0ul0OBye/yKfr7010bJlS1auXMno0aPLHWvTpg0Oh4OMjAy6d+9+4TchSdUkE0FI/4iiVaGPMaMLN6Hy0mJLL0LjpSP4/hauT5fViaFpALpIE9bjZ3qGNL56d6+KPtqMoigIq5OidWn43hSLV6sQfBNi0Qa4xlCrA09/21SWHOL0HyrvM9+IuTkony7cW+2RxMFxynKmbCUs+3JBgVT9UYoagtAqWNOL0DcNOFPo9IK0Is/mCphqyJFejG/3KIJGNavxuZIkSVLNRcY3wzsgqMoyPoFBRMZfHv9fvueeezAYDIwcOZKdO3fy22+/8eijj3Lfffe5h7o9+uijTJs2jYULF5KSksJjjz1GTk6Ou6fIx8eHiRMn8sQTTzB37lxSU1PZunUr//3vf5k7d+4Fty0mJobt27eTkpLCqVOnsNls1Wpvdb300kt8/fXXvPTSS+zZs4cdO3bwxhtvANC4cWPuueceRowYwfz58zl48CAbN25k2rRpLFmy5ILvSZIqI4MmqVYU78gkd/EBTr69FdvJItTeOgJHNSd4QmuCRjSjeHsWGe8nI+yVd/Hr6vvg3S0S5XQgYro+lMC744l4uTMhD7XCq30owY+0Ru2nRxthIuzpdjjLvuHSqjB2Da+87ggfgh9qiXfPSALvjcfcKwpdIz/3ccVYwWRfARjU3FHQn06lrRG5VmwH87HsyHIt8itwD9/zSGVew79VucsPkf72ZoRcj0mSJKnOqVRq+ox6oMoyvUc+UOfrNVWXl5cXP//8M9nZ2bRv35477riDvn378u6777rLPPPMM9x1112MGDGCzp074+3tTf/+/T2SN7zyyiu88MILTJs2jfj4eBISEliyZAmxseUTQVXX/fffT5MmTWjXrh3BwcGsWbOmWu2trl69evHdd9+xaNEiWrduTZ8+fdi4caP7eGJiIiNGjOCpp56iSZMmDB48mE2bNlV7/pUk1YQihLjoT2r5+fn4+vqSl5eH2SzXoLka5P1yGEeeBX2sL7b0InxvigUFTr61BXPv+hhbBGHPKkEbWntjtXN/OkjR+jSMLYLw6RlF9jcp2DKLwX46TXglc4u0Ud4YmvhTsPoYmjCTa/gfgJcais+Tqk8FKrMOZ54V9GpXSnU1aGLNODJKPOc5ARjUZ9Kun0fo0+3QBlQ+fluSJOlaUtfPCvs2rOXXpI88kkL4BAbRe+QDNOrYpdavdzE5nU7i4+MZNmwYr7zyyqVujiRdFeScJqlW+N4QDUDp3hxXCnGnQNGo8GobijbchKJRlQuYCtYcR5Q6MPe9sG+EvLtEYEnNdS3+ejoVulfbECz7ctCEe2PZmeUqeE7wZDtWiC2tEBxgzykBnYJi0JQPeM6lVsApXAGT4Eww5AD7/ny0cWZshTZQKyhqFaLU4SpzvsQQgCrYQOmuLLTdoy7ovZAkSZJqplHHLjRs39GVTS83B28/fyLjm102PUw1cfjwYZYvX07Pnj2xWCy8++67HDx4kLvv/ufLkkiS5CKDJqlWGRr7Y2h8ZvKsuVe9OruWxldP6Pg2CIeT0r054BB4dwhDbdRSsOb4mYIVZbQr6/wpcgU1wuoKmBQfDaLA7nEdJdCAyCpFHWxwzYdKOyeV+mm2/a606FrnDrzFCnL0j4OFaiWGcGaWUvDHcXxk0CRJknTRqFTqOkkrfrGpVCqSkpKYOHEiQgiaN2/OihUriI+Pv9RNk6SrhhyeJ12R7HkWTr65BVOHMIq3nCT8hU448qyovDTYM4rJeDcZdaQJtVaNLb0IVAqi2F6tXp9/Ss1JBDqcGl+wV2+CkybChE+nCEwdws5fWJIk6RognxUkSbqcyJ4m6YqkNmkx96mHvpE/2ghv7JklZM7Zga6eN743xaIJ9yLovqYU7ziF9VgBgffEozLrsBzII3/JQbSxZmwH889/oQvgMIRDqRPsVRQyqqHkdHeXXoWhgS+OovMMD5QkSZIkSZIuCdnTJF2RHHkW1L5nFuQ7+e5fCIfAnllM5EudUbSuMenCKXCW2FGbXKnJbSeLEIqCs9jGqaRdYHG4ep681WhDTdhSLySQKhv/V32KXo2wnA6aNApRr3a7gOtKkiRdveSzgiRJlxPZ0yRdcawnCsl45y+C/9UKfX3XP6RBI5qh6FxD4coCJgBFpbgDJoDsr/9GF+OL/+A4oqZ0oWBDGvnLD6H20YFVoPjqUASuhA9WB1jPtwq6wNWl5LlelMpPjzPXgq55INadWZ6L6HqpEcUO8NKAzUnAPdf9o/dDkiRJkiRJqlsyaJKuONowE4EjmqKL9HHvU5t11To3aHRzFP2ZoMp6MA8cAvvJYgBCJ7RFG2YibcYmjI38sB4rwJFZeqaCsuDHY25U+b9GzlwLulgfV8CE6xyLoxSdSo9y+vIqnYqAe+IxNPSrVtsl6UpVYnVQaLET7KM/f2FJkiRJugzJoEm64igqBWPTwEqPl+zJQhvihSaw/JpHZw/pA/Ab0IDSRv4oGgV9rC8lO0+RMWcHKq0K/yGNKPzjGE6noHDlUQD0TQLw7hxB0Y5TlG5MBxRQKaiMapxFZyWa8FJjPVjguohBwVJUzMIj/6VT8CDqK65sRn43N5ABk3TVe3XxTj7+8zAAber78sO/5FBUSZIk6cojgybpqpO7MBVT+7Bqrf+kNuswXR/q3s777SiixIYuLhhFqyL/lyNgUKEOMeLIKEEXZkIbbCRwSBzZDie6CC+M8cEIBI7sUrK/34cz1+K5SG6pQK820iN0KEEGV0pxdbABQyP/c5sjSVeN7cdyGfrBWiz2M9NmC0qqyo4iSZIkSZev6uVDlqRaJJwC4ai7/COhT16PT+8z60MJIShNzaU6OU+824eBE7zaBJO7KBWVWQulThwZJaBA4ZoTpP9nK/aMYgKHNsGnaz00AQa0AUYMcf4IqwNUoHhpQOuZHCLMKxaNSovPDfUJf6o9Kr38zkK6+ljsDtLzShj+4TqPgAng5yd6XqJWSZJUG5KSkvDz87vUzbhkevXqxeOPP16rdY4aNYrBgwdf9OtKNSeDJqnOOAqtFKw5TklKtnufEIITU9dx/MU1/yjFttPqQNhcSRqyv9tLyc5TABSuO0HuD/tRVGcCluLNJzk1ZweW1Nzz1uvTKwpjyyBKU3KwpRfh06ce2vo+oFVQjBo0IV6YWgaT8W5yheeHjm9DxAudifh3J1Cfk1FPgYipXfHtG31B9yxJV4LWLy+n07RfKbF5JlHp2TgItapmWSYl6WqiKEqVrylTptS4zilTplRY13XX/fMEQzExMbz99tv/uJ7atmrVKhRFITc391I35bJ1rQe3dUV+1S3VmZJdWeQtPQAOCH3clWDBWWBDG+WNNtSEyuj6+Am7ExQF5dwgowpZn+1G5a0l8M7rXOedfhhTm3Vogo1YDuShizWjKAr6hn54tQlGH+N73npVOg2Bd8eTv+IwmuZBWP7OxXakgJBHW5O/8giaQCPmG6Lx7hwBgOVQHgWrjxF4bzyoFEr3ZmNsHoRKpSHyhS7YMorI/Gg7Kl89weNaoNLJ7ymkq9drS3aVC5bK3NtJflkgXX6EU2A5mIezwIrKR4c+1tfjS7falJaW5v7522+/5cUXXyQlJcW9z9vbu9w5q1atYtSoURw6dKjSeps1a8aKFSs89mk0lT/eWa1WdLrqJU+SJOkM+QQn1ZnCtSfQhJpAo1D8VwYA9pxSbMcKKVp7AhyCkt1ZZHy4jZzv99aobl2MGRQF69ECHEU2DI1d84OMzYIwNPYn86Pt2I4VAqAJMBAw/DoUjQpnsQ3hPP8wPXO/aHy6RqJ4adDGmMn68m+saUWU7s/h1NzdCLvTteaTw+ma+7TyKNbD+eQtPYT1iCsBhKJWUFQKhiYBhD3SBo23/EdKunq9sGAnc/44VOGxDrH+3NA07OI2SJLOo2TnKdLf2MipOTvI/iaFU3N2kP7GRvfIhdoWFhbmfvn6+qIoise+ioKm6tBoNB71hIWFERQU5D4eExPDK6+8wogRIzCbzTzwwAP06dOH8ePHe9STmZmJTqdj5cqV9OrVi8OHD/PEE0+4e6/O9vPPPxMfH4+3tzcJCQkeAaHT6WTq1KlERUWh1+tp3bo1y5Yt8zj/2LFj3HXXXQQEBGAymWjXrh0bNmzg0KFDqFQqNm/e7FH+7bffJjo6mgMHDtC7d28A/P39URSFUaNGua87bdo0YmNjMRqNtGrViu+//95dR05ODvfccw/BwcEYjUYaNWpEYmJipe9rUVERI0aMwNvbm/DwcGbNmlWuTE5ODiNGjMDf3x8vLy9uuukm9u3b5z4+ZcoUWrduXe5eYmJiytX18ssvExwcjNls5qGHHsJqtVbaNovFwsSJE4mMjMRkMtGxY0dWrVoFuALt0aNHk5eX9496MaXyZNAk1ZmgEU0x96mHuX8MPn1cc4z00WY0/gb0jfxRtCoKfj+Gxs+Ad9eIatWZ/b8Usr/fS+neHNRep79JEyAcguK/MhB2J85iO8ZWwejq+ZQ7P/3NLRSsPlatawkhCLi9EbZjhah9XAkj7CeLsabmUrgpnZPvJmM9Woj/7Y0pTs4g+7u9ePeKRBd15rrC6sSZb63WfCpJuhL9dTSH7m+s5PP1hyst8+QNTS5iiyTp/Ep2niLriz048jwfTB15VrK+2FNngdOlMnPmTFq1asVff/3FCy+8wLhx4/jqq6+wWCzuMl988QWRkZH06dOH+fPnExUVxdSpU0lLS/MIioqLi5k5cyaff/45v//+O0eOHGHixInu4//5z3+YNWsWM2fOZPv27fTv359bbrnFHUwUFhbSs2dPjh8/zqJFi9i2bRtPP/00TqeTmJgY+vXrVy6YSUxMZNSoUURHRzNv3jwAUlJSSEtL4z//+Q8A06ZN47PPPuODDz5g165dPPHEE9x7772sXr0agBdeeIHdu3fz008/sWfPHmbPnu0RXJ5r0qRJrF69moULF7J8+XJWrVrF1q1bPcqMGjWKzZs3s2jRItatW4cQggEDBmCz1Wz6wcqVK9mzZw+rVq3i66+/Zv78+bz88suVlh8/fjzr1q3jm2++Yfv27QwdOpSEhAT27dtHly5dePvttzGbze7f3dm/H+nCyeF5Up3RBBorTPsdeE+8e62koPtbkDV3d7XnNxUnZ6CL8cWreRA+PVyZ6IJGNMWWUUz2/1II9tPjLLXD6d6kzE93YmobglfrEAAChjdBG+p13uvYT5Vw8j9bCRzVFJW3FkO8P7aMEsKf64gto5hTH+1AHWigZFcWlkN5OHJLQVEo3pqBI7OUgOGuh0RdPR+CH2hZrXuTpCvJ1B93c0PTUCbP287RnNIqy+YUV/6NqSRdbMIpyP0xtcoyuT8ewNA0sM6G6tWmHTt2lOuluvfee/nggw/c23369OGpp55yb0dGRjJ+/HgWLlzIsGHDANc8mFGjRqEoCgEBAajVanx8fAgL8+wlttlsfPDBBzRs2BBwPcBPnTrVfXzmzJk888wz3HnnnQC88cYb/Pbbb7z99tu89957fPXVV2RmZrJp0yYCAgIAiIuLc58/btw4HnroId588030ej1bt25lx44dLFy4ELVa7T4nJCTEPW/HYrHw+uuvs2LFCjp37gxAgwYN+PPPP/nwww/p2bMnR44coU2bNrRr1w6gwt6eMoWFhXzyySd88cUX9O3bF4C5c+cSFRXlLrNv3z4WLVrEmjVr6NKlCwBffvkl9erVY8GCBQwdOrTS+s+l0+n49NNP8fLyolmzZkydOpVJkybxyiuvoFJ59m8cOXKExMREjhw5QkSE6wvniRMnsmzZMhITE3n99dc9ejKl2iODJumicZbasZ0sRh9tpnRfDrasEoo3n0Tto6U0JQdtoBFNkJHSvTlogoxoAgzl6gh+qBWW/bnljmlDvAj/dyeyv/4btZ+ewHviETYnah8tylnziKqb5lvtq8d8Ywz27FJCHm5F9vd7sR0pQD2sCSW7XN9AOrJKcZbaUfJUKAYNYY+3RThB0coOXOnqJYTAYndyOKuI77cc5URucaVlNSqFiTc24abm4RexhZJUNcvBvHI9TOdy5FmwHMy7JGvpnR0AORwOLBaLx75zA6ImTZqwaNEijzrMZrPHdlmgUMZgMHDffffx6aefMmzYMLZu3crOnTvL1VMRLy8vd8AEEB4eTkaGawh+fn4+J06coGvXrh7ndO3alW3btgGQnJxMmzZt3MHPuQYPHswjjzzCDz/8wJ133klSUhK9e/euMsjZv38/xcXF3HDDDR77rVYrbdq0AeDhhx/m9ttvZ+vWrdx4440MHjzYHeycKzU1FavVSseOHd37AgICaNLkTK/5nj170Gg0HmUCAwNp0qQJe/bsqbStFWnVqhVeXme+0O3cuTOFhYUcPXqU6GjP+aA7duzA4XDQuHFjj/0Wi4XAwMrXsJT+ORk0SXVOOASKWqFoy0nyfjqEqW0IxTsyyW1gw3a8iOaP9CPzv3+hr++DJshI9g/7UHtpCbizCdpgLwr+PI4hzg8UyPvxAE6bE1PbEITNSdGmNBS9BkWvJvvrv/G9pSH6CG9Kdp0i+5sUhFqhZHc2kS9V3gVfxnqikKJ1afgNjkPRqjB1DCPt1fWUxGThzLEQNKY5AKZ2YThyLJTszsLYNBBTh3BKdmSi8tGVG/ctSVeb2atTef+3/UQHmFj5d0aVZX98tCvx4edPwCJJF5OzoHo9n9UtV9uSk5PdP2/YsIFnnnnGPV8FygdEOp3Oo6emIiaTqdy+cePG0bp1a44dO0ZiYiJ9+vQp94BeEa1W67GtKEqNhqAbjeVHoJxNp9MxYsQIEhMTue222/jqq6/cQ/AqU1jomsO8ZMkSIiMjPY7p9a5F7W+66SYOHz7M0qVL+eWXX+jbty+PPPIIM2fOrHbba0qlUpV7b2o6dO9chYWFqNVqtmzZglqt9jh2ofPipOqRQZNU64TNSdZ3KaiMGrQhXhSsOkbE8x3x7hSOMT6Q4m2Z+A1swM6Abfx+Yg2tjAmEPt4WxahBOAUhD7fm1JztWA7low32ovDP41iP5KMJMmLLLCZgWGO0UT7krzpK4e/H8GoXinf3SBS9GrVZh66eD44iA363NETlo8V2vAghxHkDGmeJHdupYhACUFDp1IT/uxOW1FxKU3LQR7v+oVLUKuynSjBdH4pPT9dcrbI/Jelq9vveTNbsO0WhxcGutPzzll+8LU0GTdJlR+VTvaQ81S1X284OgI4dO4ZGozlvUHQhWrRoQbt27ZgzZw5fffUV7777rsdxnU6Hw+Go5OyKmc1mIiIiWLNmDT17nlmXbc2aNXTo0AGAli1b8vHHH5OdnV1pb9O4ceNo3rw577//Pna7ndtuu82jXYBH25o2bYper+fIkSMe1z1XcHAwI0eOZOTIkXTv3p1JkyZVGDQ1bNgQrVbLhg0bqF+/PuBK+rB37153/fHx8djtdjZs2ODuscrKyiIlJYWmTZu6r5eenu7xDHJ2UFxm27ZtlJSUuAPK9evX4+3tTb165Z8t2rRpg8PhICMjg+7du1d4nxfyu5POTwZNUq1zFtso3eEawubTIwrfm2JcBxQFTYAB8+mFZ/sTRv8G/cn8ZAe29CJ0UT7Ys0oJvL85jmI7+b8cpnRXFuZ+0eSvOIw6wICwOsj6zNXtHTSuOU5rONYDuWj8GxL+fEdOfbQD7AKvFkGY2rvG8mrDvDnx4lqCxjZHH+OLI89Cyd/Z2E4U4t0lAm2o6xs4Q0M/91CMwnUnKNqQTsiENuT9dBBnqQP/wWf+0Qq8t+lFeCcl6dI7eKqIOb+nMvXW5ry9Yi9bj+RW67wHezRgYn+ZAEK6/OhjfVH76qocoqf21aOPvTICfrvdTnp6usc+RVEIDQ0977njxo1j/PjxmEwmhgwZ4nEsJiaG33//nTvvvBO9Xl9l0oSzTZo0iZdeeomGDRvSunVrEhMTSU5O5ssvvwTgrrvu4vXXX2fw4MFMmzaN8PBw/vrrLyIiItzzkeLj4+nUqRPPPPMMY8aM8eidio6ORlEUFi9ezIABAzAajfj4+DBx4kSeeOIJnE4n3bp1Iy8vjzVr1mA2mxk5ciQvvvgi119/Pc2aNcNisbB48WLi4+MrvAdvb2/Gjh3LpEmTCAwMJCQkhOeff95jflGjRo249dZbuf/++/nwww/x8fHh2WefJTIykltvvRVwLUqbmZnJjBkzuOOOO1i2bBk//fRTud5Cq9XK2LFj+fe//82hQ4d46aWXGD9+fLn5TACNGzfmnnvuYcSIEcyaNYs2bdqQmZnJypUradmyJQMHDiQmJobCwkJWrlzpHvp39vA/6cLIyRdSrVP76l0Lwgoo3JSOsWkg1mMFHH9xDbaTRTgdTtJnbSZ95iacVgfWowUIh8Bpd2LPKiHjP1tRVOAstGJoHoipXShOi4OSHafQRrsy05m6hFN6II+i9Sdw5FtRFIXM//6FI8+CsDoo3nmKkr+zTrdIoBjPfD9QeiCP3KUHsJ4owllJAgpdtBlTxzAUlYI+1pfAeyr+H6skXe2Sj+Tw1cajtH/tF/ak5aM7z3pqagXmjm7P5AHxcriqdFlSVAp+gxpWWcZvUIMrIgkEwK5duwgPD/d4VWeYHbgCGI1Gw1133YXB4DlXeOrUqRw6dIiGDRsSHBxc7fZMmDCBJ598kqeeeooWLVqwbNkyFi1aRKNGjQBXL8jy5csJCQlhwIABtGjRgunTp5cbajZ27FisVitjxozx2B8ZGcnLL7/Ms88+S2hoqDt1+iuvvMILL7zAtGnTiI+PJyEhgSVLlhAbG+u+7uTJk2nZsiU9evRArVbzzTffVHof//d//0f37t0ZNGgQ/fr1o1u3blx//fUeZRITE7n++uu5+eab6dy5M0IIli5d6h7CGB8fz/vvv897771Hq1at2LhxY4WZ7Pr27UujRo3o0aMHw4cP55ZbbqkyTXhiYiIjRozgqaeeokmTJgwePJhNmza5e8W6dOnCQw89xPDhwwkODmbGjBmV1iVVnyIuQS7k/Px8fH19ycvLKxdtS1eH7O9TXGszOcDQIhD/2xuT8e5fOHJKQVGhq++DNtCAPasUxaTB/9Y4cn7Yj2VfDkGjmqEyaXEW2dA38AOgYN0JVEYN+T8fwrtHFN6dwkmfuRlHVinmAbGYe0SRvXA/xevOpEVFp0Ljpyfg7usoWpuGT9/6aHxdY5uFw4midn1nIJyC7P+lYGwWhMqoxhDnj9PqoGRbJl5tQ2u06K4kXW2EELyyeDffbjpKkbXy4R7Nw715uFcjBraq3vIBknQ+df2sULLzFLk/pnr0OKl99fgNaoCxefV6Va50ZUHRpk2baNu27aVujodXXnmF7777ju3bt1/qpkgSIIfnSXUk4I4m+N7UgFOJO9EEGsj+XwqOPAs4QBNqwKd7JLpIH7K+/hufTuGovXX43hTDyV1ZCIdwD5mzHM5H7a3Fq0UQWV/9jb6hH2qjhswPthP6WFss+3PRRXrjKLJhO1qAOtiI2lePNb2QwNsak//bEbK/SUFl0GA9lI+mlevbMkWtwpZZjCO7FG19M6LUQcnuU1gPFxD+dHtsJwrJ+WE/+ga+FaZNl6RryVcbjlBqd1ZZ5puHuuKtl/+kSFcOY/MgDE0DsRzMw1lgReWjQx/re8X0MP0TNpuNrKws/v3vf9OpU6fLKmAqLCzk0KFDvPvuu7z66quXujmS5Cb/hZPqjNqkJXR8G45N/gMEYFCDzYE9o5js7/cS8kBLFLWCJtA1ztaRZ0VX3wddtJnCTWkU/HoUZ6kdQ3wgtpNFYBeY72hMyd5s1IEGTs3ZgTWtEBwCXYwZ24kiQOC0OKDYTvYPexFWgXe7UBStGsXL8+Oev+IwlgN5aAIMOEsdhNzZGldDQR/jS8SUzqh0nsMFJOlaoygKd7SL4ov1Ryot89+72siASboiKSrlkqQVv9TWrFlD7969ady4Md9///2lbo6H8ePH8/XXXzN48OByQ/Mk6VKS/8pJdcqWWYzaX48j3wqlp4f2CBBFdgrWnsBpc7gWo0WPoiioAwykvb7BlcDO4sDYOoiSvzLQhHmhCfEib9lBbCcK0Tfyx1pgBbvA0DQAW3oxulgztsxitMFGbKV2RIEdY+sgvLtHISx2Tr69leCHW6Gv7xrmYTtVirPAhrF3fQpWHkFY7ajNenfbzw6YHEU21CbPNKuSdLWz2B10m/4b4eaKP/sqQKdV0TXu2hjKJElXi169etUoTfjFlJSURFJS0qVuhiSVI4MmqU4pGhWaYCOObEu5Y8UbXNl+cubvRRdpRhvqGgan8taiDjQQcEcTVFoVik6N5VA+KoOa0r05oFJwWhw4ci0oejWlu7MBMN8YTc43KdjsRYQ83pZTn+x0DQf00yMcOswDYinYkMapT3YS9uT1mNqGoHSLwLtNKD5dKp+HYTmST+bsbYQ+3tY9bFCSrgXFFjuZhRYyC8v//W0a5sPSx3tcglZJkiRJ0sUngyapTmn8DQSPboE9q4STc3ciTpXCOVMjbEcKcRbbKFpvcY2OU0AxaUifvgFOd07p4/zw7hZJ8daT4ICSvEyMbYMp2Z4JagVjh1Byvk1B5a9HE2jg5IzNKF4anMU2hMOJPbeU/CUHMbQKQlfPh7xfD1OyKwtTm1BoU/U96CK8CbjzOjTBMl2ndG3p9savFe5XKzC+T6OL3BpJkiRJunRkynHpotAEGgkY0ACVjw5VBUN9HKcsZdOJQID9cKHHccuhPDL+sxUcoI33J3BUM7RhJrADDkHJ5pMgwJljAasTxUuDKLajGDSAAnaBoldj7lmP4HEtsB0rQhTasZ4oOm/bFY0Kr1bB18TkYEkq0+HV5RRZPb/hUAH3d4th6ws3MqBl+KVpmCRJkiRdAjLluHTRlaRkkfXl3+CngYzKFxeskk4F1gqyeWldARIC1LpMAm+A4qI2FP55HBDo6vsSPLo5pYfyyErcSdjEduT9fBivVsEYmwYCUPRXBnlLDhA+uaNMNy5dUyx2B3NWH2DmL3s99vsa1Ewe0JQ7O9S/RC2TrkXyWUGSpMuJHJ4nXTQFfxyjePsp7BnFmPvWp2RXFjYuMGiqKGACsJ35DsDL8SuqFT9RaEk6c9qRPJwldrA78eldD7WfAZVOjaI50+mqr++DuU99GTBJ15wh7/7B7vQzva9q4N7O9XhpUAtUsqdVkiRJuobJoEm6aCwH83HkWRAWB7aMYuyZJaBwZlje2dS45zNVWqYSqgA9zmwLBY6hFDpu8Tjme1MD1GYd+Z8dQVfPB0Wl4H+759wMTaAR7y5ybSbpGlGcjXPeAzTZdSc2znzu376zFYNbR13ChkmSJEnS5UPOaZIumqARTV3pxRUo2ZaJEE5QKyhGDdpoH7w6hgGgizUTcF/TMycKqv9JNahxFtlOl1chMKIK1KOL80VbzxtHsQ0A/yGN8Lu5YW3eniRdkT78bQ8Ndo06HTAJ1MCh6QNlwCRJkiRJZ5FBk3RRBd7bFEPzQFApeDULIurVbihqBXtmCRpfPdoob/yHNcHydzZoXMOBDM0DQKlkaJD2nP2lDrA4z2ToUwF2gXV/HrajhRT+epTS1Fwy/vsXloO5dXWbknTZ23okh/av/sK0P3JxdefCske7kTp94CVtlyRJkiRdjmTQJNW59Le2ULD6GADGxv4E3dMUr6aB2E+VUrD6GJpAIxo/AwW/H3MtPCsERevTXQkdgNKUnMort51n3J6iINRnbavg1Cc7MV4fir6BH0Ub08n+bm+lp0vS1cjhFLywYCeZha45hc0jvDk0fSDXRfpd2oZJkiRJ0mVKBk1SnfPuGoE+zhcA6/FCnCV2TD0icQonhRvTUIxqHCVWFLOOws1p2HMt6Jv6n6lAUcBxOjjy1bq+FD/dC6Wcnb68ok+zQyCyTyeb8NG45kk5BdYDuWTN3eU6R/4tkK4xX6w/xK4T+SjAtCHNWTyh56VukiRJkiRd1uTjolTnClYfo3RPNgCZH22ncEMaRevSsR8txFloQxPkhaJWIwpsYBVkfbEbR47Ffb6iP9NVFPZIG3x6RqEYNaBRXBnuNAqY1OUWzS3fELvrTzU4cixY0otQ+eop3nQS69GC2r5tSbrs2BxOXlq4k283HSMu2IS/l1amEZckSZKkapDZ86Q653dzA7TBXgCETmiD2qzDaXFgah9K5vvbKN6egSixg02gbx6IolawHitAHe6FI60YRacGoxNhcyAsDor+ykBt1GAvsCHKeqCKHJWv3XSu01n5RJ4Vy75sgu5vgTbKu47uXpIuH4lrDvL1xqP8++Z4RnSOudTNkSRJkqQrhuxpkuqcMT6QvBWHyV1yAE2gEUWrRu2tQ3W6B0ll0BA4ohmowbIzi9IdWTizLDjSigFwFlsRJQ4McQEUrD2BM8+KPbMEY+tgFL0GbbARY7tQIl/ohHefqLI57VVSBxtR+WgpXJeG2ldPwe/HyF9xuC7fBkm6JDILLOQWW3nvt/1EB5i4LtyHrzYcudTNkiRJkqQrigyapIvC2CQAgJPvbMVyIA8AbagJXX0ftKFeqL116Bv4ofbTY2wVjKFloDsznoKCYlDj3TOK4nVpoIA6wIjaT48zqwSBglfzQNLe3ELhr66EE6hcgZGbzjOScmSW4CywYeoYQe7C/eT/dAjLETlET7r6jErcyNTFu0lcc5ANB7PIKrTydEKTS90sSZIkSbqiKEKIGiwbWjvy8/Px9fUlLy8Ps9l8sS8vXWTOEjsqowbLoTyyv9+Hvp4PAcPPPLRlffM3jjwLikGDZX8uuhgz1oN5IIRrnpIATbiXK0gqsaPSa9DV80HtoyV3QaprHSe9AhbhGqLndOJ7YyzaGDNFm9Ip2XTyTGM0ijsrnzrYgCOzFJVZhzPfiu/Nsfh0O7M2TeGa4zgKbfj2j7k4b5Qk1YE9afn4GrVE+MkFm6Uri3xWkCTpciJ7mqQ6VZycwYnX1uMstaOLNmPqEIa+sR95vxxGCEHpoTzM/aMJvK8pgcObgMOJdV+uK7BRcAVEgD2nFMueHBwZJQTedR2+/aLJXZTqPo7F9YPfrQ0Jm9ge7+6RZH+5xxUwqQD16Z4mu0ATZUIdZMDUMQwUcOa7suvl/XyI/2fvvuOjqvL/j7/ulGTSG0kIBAgk9CJNUAEBRYptxYJ9QdSfa1l7W10VXbuyrn5VdFWKK3aKiooFFBWkE5HeeyohbZLMJDP390fMyJBkBEwD3s99zMPce8+993NHVu4n55zPKduaj1nhxfSaYLNg2PR/ETl2rdiZx9w1mUqYRERE/iQVgpB65egQQ+yYjlgcNrxlFRTO3Q5WA2tYEO5sJ65f94PVIPq8VErX7/+9Ap7dIHxoMsXf7K5MjMq8EGRgek0K5u7AU1IOloNKkQMEWSiat5vCL3YA4C0rr9zvBQwTwqwYdisV+5wEt4um8IudvyddgGGzYgmxkfPWr9gTQokZ3b4BviGR+rNzfwmLt+1v7DBERESOeUqapF5ZQu2E9oiv/Nlhq1xzqdzEk+/C3jai8k+gzSB/9ha/86yxDkrTc7FEVA6dC+4cQ0VuGcGtI3CuyIJyr18/qSU2GG++C0+xG+wWHO2isSeHUfTlQcUdnB7M30rnubbkVw/Wa2KLdRB5ZmssIfbqx0WOMSenxHJh7+Q/bigiIiIBaeyRNKjoC9J8P5etyoUKKnuRqvyWq3iySvFkl+LoGktwahR4wFPgwjTB0T6GyHPagt3i+xPszXNV/uz2grOCsrW5lWXMrUblNQ9j5p4lrPJ3CI60GIJaqgS5HNu25RQz6NnvWLQlt7FDEREROeYpaZIGFX5yc+Lv6l17g3L/zZJV2WAYWMLt4PZSujKbirxSCj/fDi6v/4K2FQf9HGTBvbu4cvjeQdd0GmUQVkMHq80g9rJOlb1hIseBts3CmHrNyZzcNraxQxERETnmKWmSBhccH0bkOW2xNnNgbxNRudNm1Ly+UpkX175iyrbm+3ZZEw5jUnuZF/fWAr9dJiahZjA4f8uuwg66YYVJcGtVZ5Ljh2EYDOmYgN2q/8yLiIj8WfrbVBpF5KBkgpIjwGPi6B5HWP+kysIONbCE2zGL3L5t1+paJrZH2iuTLwAL2FMjscQG+w4bv/3Px3nQmD0rlRXzREREREQOobFI0mA8BS5Mq4EtPAiA6HPaYZZ7scU6ALCG2Sicv8t/mB1gi3Xgzi6t/cJVpckL/cf2le8s8q3J9MfBVZY1t8epNLOIiIiI+FPSJA0m65X0ykp4HaKJu7IL1ojK5KniQCmla/aD1UJwx1gwwZNfRsW+EgDcGw5gSQjBW1viVFNe5AVLpB1vfmUPlRFuxywur6Hh7yqyS5Q0iYiIiEg1Gp4nDaI8rxTTCljBtSmfwh93+4bD5U5dR8GXOwjt3gyLzYJrXR7R56eR9EB/Eu89GSPMVnvCFIA33+2bJ1VjwnTIaEB7sirmiYiIiEh16mmSBpH1n5WV5cANcHRyUL5pO9lrs6jI8xDaN5GIs9pQMHcH7txS7K0isNgtmKaJPdZB/PhuZL/2C9YYB57cUv+KeX8k0Oi8g4+FW7EE6/8OIiIiIlKdepqkYdh/+6Nmein+YRmen5/Abt2B6fJQuiob99Z8okak0OzSjjQb24W89zZS8OV2ACzhQRgWC2aZB7xgbRZCwj/61ml4liA7liBrnV5TpCEUlJTz4+acxg5DRETkuKZfrUuDiBraioI52yHIgiMphJCBj1D0gxdbQiim10v0uakY1srxcs4VWVQUlBF/fTcAbFHBxF3ZGW+Fl/LMYiKHtKZ07X6iL+tIUKtwDny4qbLow58QOTj5Tz+jSENas7cAh83CZW8sJs/pZsO/RhFk0+/BRERE6oOSJmkQXqcbb1kuFZumE3P3nYT06Y8RvBdb2Wq8wZUJk6fQDVaDsD6JhHRrhiX4956fsk0HsCeG4vw5E2toECW/ZBPUKoLwngkk3tgTgIyXVuLJdB7Z8L3fhPVOrKMnFalf7govVovB5f9djMWAgrIKbjkjVQmTiIhIPVLSJA0itGcY++58GEuIg4x/PY41OhZ7u78RHfQR4WefDnRm/3vrMawW4q7qTMkvOVjDgwjpGld5AaNyClLU8DYEt40i/JSkavdIurU3HqebzGeXE3FGK8o2HcC9sxDHSfF4ckrxlnvw7C/D3iqC0C6xYLFQ/P1uglpHYtj1winHhr9OXoLNYhBst5Bb7KZjQjh3D+/U2GGJiIgc1wzTNBt8Rc/CwkKioqIoKCggMjKyoW8vjcCsqCDjyacI6dKZ4vnfYY2JIf72B7CFm2Q8+jjlWZmE9BmEO6M9kcNTcO8uwp4YRtFn/yaoTWusSWdjur00G9f1sO/pKXbjLS7H3jys1jaunYVYHFbsibW3EWlsG/I28NTip7i+203s359MqbuCRz5bx2N/6coFvVoSbNN8PDn+6F1BRJoS9TRJgyiYM4eCd9+lwDBoN/dLgtu08R0LHzqUonnzOPC//2J6HcRc+B5l6/YTM7o9lJyBNa4ZQW2SfSXKD5c1PAjrbwvp1ia4jf4ilqYly5nFS6teIiksiV4JvWgR1oL3F7zNysKV3Dj/OoIz/slPd1/M/pJyRnZNUsIkIiLSANTTJA3CW1bGxt59MMLDMd1u7M2a0XbGx1ijogDIePRRCj79jPBhZ9LiX0/i2lZASKfYRo5apOH1n96f3gm9WZa1DJfHVbnTBAwoL+pAiLs/q+68t1FjFGkIelcQkaZEPU3SIAo+/xy8XsyiIjBNyvfsYdeNN+Lo0AGLIwTXps2YTiclPy/GW5RPSKc437klK1eR8eCDpLz3Ltbo6MZ7CJEGcF3363g1/VUqzIrfd/oWYq4gLkiVHkVERBqaZr9Lg8ibMrXyh986Nm0tW1K2chWlv67B0b0bSc8+gyUyEk92NtsuvIjS1atxLl782ykm5fv24dqxo3GCF2lAl3S4hIdPfZhQW2i1Y/aIbXx7yxWNEJWIiMiJTUmTNIiIv5zvt12xbx9YLLg2biT7mWfZceFFeAsLwWbDk5XF3n88wK6/3cie224nOLUdcTf8P4Lbtq3x2iUrV5I3bVpDPIZIvYt2RHNy85MpqSipdiw+JL4RIhIRERElTdIgvDk5/jtMk7AhQwgfMoQKpxOv1wvW3ye0V2RmQlkZRd99h2EYxN90k2/+06HK1q2naN78+gxfpEElhSVhM6qPns4pzeG5pc81QkQiIiInNiVN0iAS//EPiInx2+dcsIDiH3+EkhKM8vLKpKmich6H6XSC1Yqja9dak6UqsVddSZu31dMkxw+rxcoTg54gMqj65PflWctphPo9IiIiJzQlTdIgDMOg/edz/Hd6POBy+eY54Xb7nxMcTMvnnm2gCEWalrPbns3CyxdW278ubx0TFk0gPTu94YMSERE5Qal6njSYnWPH1bjfCA/HMAxMlwsjJgYzLw8A0+0mKDkZ0+OhPCOToOSWDRitSNMQZAnC7fX/hcKc7XPIKc0hOSKZ+/vdj8XQ779ERETqk/6mlQYT2rNnjfvN4mK8v5UitwT9thitrXKo3o6//pW9993P1uHD8ZZUnxgvcry76aSbqu374JwPuLzT5WzI24DH9DRCVCIiIicWJU3SYJrdfhtYavkjFx5eWTkvMxNLdDTNbqp8USxduoyiOXPA62Xb6AvJelaT4OXEUeQu4j+r/lNt/7c7v+W0Fqfx9qi3sVvsDR+YiIjICUZJkzSY/I8+Bq+35oPFxb4iEN7SUuJvugkcDr8m5Xv3Yo0OXBRC5HgSERTBkwOfrLb/lV9eoef/evJ/K/+vEaISERE58ShpkgYT/7cbaDltGtgP+c34ob1PLhfuffsqC0QcfKyiguAOHeo/UJEm5MzWZ3Jq0qmE2EKqHXvj1zfYkLehEaISERE5sShpkgZlDw+D8nL/nYf2Plks7L33PoxDyiobMTGUbd6Mc8nSeo5SpOkItYfy3+H/5c3hb1Y7ZmLywI8PMGfrHApcBb79Fd6KhgxRRETkuKekSRpUSNeuJD3zTOBGXi9l6ekEd+mMJTaWoE6dCOrQgaCkJHIn/pvdt97aMMGKNBHr969n9pbZxDviqx3bnL+Z11e/zqM/PwrAssxlnPLuKWQ6Mxs6TBERkeOWkiZpcJEjhgc8bu/aFcNiwazwYJaUUJGdjSc7m+grrgCLBWt4OOZvvVP5M2ax7aJbKd2Q1xChizSKfFc+6/evJ6csp8bjOwp38MOeH7hj/h18t/s7bu99OwYGuIrh5X6w9bsGjlhEROT4oqRJGlzFgQMBj5evXVu5RlPXrpglJXgLCvDk55P1z3+CaVKxdy/FP/xQ2dhuwxYfgS3OEfCaIseajXkbufP7OymrKOPUFqdiMyqX1Qu1htbY3u1xszhzMXO3zyU1OpVhHw+j93unMa0im4dWvcTkL28mtyS3IR9BRETkuKGkSRpc8Tff1rjflpQEob+/ELp/ScfeujUYBgBBaalYIsIB2Hf3Pbh37yb6/PNo/doT2ONrfpEUOVZ5TA+lFaV4TS8er4cNBzZgt9gp8dS8XlmoLZTi8mKK3EXc8d0dAJQbJs/HRDC7eAsvZP/AFV9c0ZCPICIictxQ0iQNLubKK2j5cvVSyRUZGVC1gG1wMPZWrSnftQs8lYt3unftJuGee2j7xRcYdjv7p0xtwKhFGlaXuC5MGjaJzQc2c/7s8ynzlHFGqzNqbe+scAJQ5inz/exT+XsHzmt7Xn2FKyIiclxT0iQNzrBaiRw2jOT/vV17I5cL588/A2Bt3QojPBzcbjKffoay1b/gLS6mdNky3Hv2NFDUIg0voziDq768il1Fuwi2BJMak8pFaRcFPMdSw3/W4x3xpEWl8d81/2XW5ln1Fa6IiMhxy9bYAciJyx4REfC4WVwMgGfnLt8QPZxOMv75ENjtGMHBGIeu+SRynJj0yySCLcG+7Q4xHYgMimTBgQUBz/NSfQHpwvJCvGbl/h92/0DPhJ60jWpbtwGLiIgcx9TTJI3GlphIaP/+1Re3rUnVmk12O5aICCgrI2zgQDL++RBl69fXb6AijWDO1jm8sPIFIoMiiQ2Opbi8mFFtR1FSXvOcpkAqPBXsd+0H4Nvd3zJh0YQ6jlZEROT4pqRJGo0tJoY206bS7O67D++E8HAoL8frrJyvEZTSBktICFit9RilSMP7due3VHgraBfZjkJ3IXmuPLYXbmfYh8Mo95T/8QUO4cHj+/n6rtdzR5876jJcERGR456SJml08eOvgdjYmg8GBf3+82/JEm43AKH9+pH80os4OnSo5whFGo7H6+H+H+7HarFitVhxWH8vp19ulrPHefTz+GKCYvhi5xfM3DyzLkIVERE5YShpkiah86KFxFwzrvqB3xIkAEwTS1yc7+fd112PefBxkeOA1WLl5WEvkxSWRLQjmg/O/YD20e2P+npJoUkA9EnowyejP2Hm+TP55yn/rKtwRURETghKmqTJiBg6FCM08HpL3v2V8zIwDILatv29QITIcaSZoxkAF3e4mPCgcLbmbz2s8yLtkX7bA1sMJKski3/0+wfXd7+eDXkbOH/2+WzP387szbPrOmwREZHjlqrnSZMR1q8fKe+9x65rr8WTmxu4sWEQdeFoVc+T40q2M5tgWzCF7kJ2F+1mbe5a4kPisVqs2A07Lo8r4PmF5YV+2+VmOT3je/LU0qeICoqiR7Me7C/dz3PLn2NJ5hI8eLiofeAS5iIiIqKeJmliHB070OGnH2n/4w9gC1DgwevFW1TUcIGJNIBRM0cx7stxdG/Wnas7X83+0v2syFpB3+Z9sRlH9juu/s37E2GP4Ox2Z9MltgtTR03FbrMTHRxNUlgSf2n3F9Ki09iYt7GenkZEROT4oaRJmiRbfDxp8+aDreYXRSM6moghQxo2KJF69ObqN3F73ZR7yxkzZwyv/vIq5d5yyirK6JvYl17xvbBgoVezXgD0S+xHQkhCjdeKsEWQU5LDt7u+5eVVL7M+bz2xjliu6XoNB1wHmL11NtsLt/Piihd5esnT1c6fv2s+C3YHXg9KRETkRKKkSZose2IC9hZJRFw4Gkt8vN8xMz+fzCeeaKTIROpesCUYCxYSQxPZkr+F4vJivt/9PWv3r2XWplm0imzF7X1uZ1XuKp4a8BRrc9dS6C7EUsN/xosqithWuA2AfHc+Q1sP5Z1173DvgnvxmB5GpoxkQMsBpGenszx7uW/h2yrzds1j/u75DfHYIiIixwTNaZImLe3rr30/e8rKyPzX4xR++SWOzp2IueKKRoxMpO5MXTOViSsmAlDgKqBPQh9WZa+i3FvOuv3rKHYX0zuxNwmhlT1Lzyx/BpfXhcf0YDEsWEwLXry1Xn/T/k3M3zWfzjGdySjJoMhdxL6ifZSblWs+lZSXEB4U7mv/xMDffyHx4cYPyS7JZny38YTaAxdqEREROV4ZpmmaDX3TwsJCoqKiKCgoIDIy8o9PEBE5TmUUZ3DerPNwef2LPLSNbEuxu5gOsR3YVrCN0opSDAw+veBT3t3wLrM2zyIxNJFfcn8JeP0wWxjOCidh9jB6NOvBiqwVVHgrsGKlnMqkaeb5M2kfU3NZ83fXv8vUtVMJsgYxZ/ScunlokcOgdwURaUo0PE9EpJG4PC6GzxiOy+siyBLEdd2uAyA1KpXWka0prijmtt63kVOSg6vCxbA2w/hqx1dMXTuVUHsom/I3YTUCFEwByjxlhNnDwAS71c6LQ1/k2q7XUk45IZYQLFi474f7aj3/is5XcHLiybSNasua3DXsKTr6xXVFRESOVRqeJyLSCMoqyvjb13/zbZ8UfxJhQWHMPH8mv+T8QlJYEs8Nfo4QWwiPnPYIpySdgtvjJtgaTGxILBvzNvL66tcD3iPcHk6QJYjre1zPm7++SbmnnBvn3Ui7qHYAlHpLARjaami1cwtcBUQFRwHQpVkXthVs4/99/f/wmB4eO+0xRrQdUVdfhYiISJOnniYRkUbw0MKHWJGzwre9ImsFr/9SmQR1jutMckQyIbYQAC5IuwCbxca5s87l19xfOavNWXy+7fOA1z8p7iTObns2zgonJyVU/vxzxs+c2vxU/tHvH34FJP7763/ZkLfBt51bmsvg9wdz4ScXkleaR3p2OrM2zaKsoowyTxl3/3A3/7fy/8gpyaHcW16XX4uIiEiTpDlNIiKNYMuBLYz+dLTfvvv73c+q7FXsK96H1bDSOrK1X1GGaWum0SaqDbGOWG7+9mby3fk1XjvMGobT48RqWIl3xBMRXFmCfNqoaVz4yYVEBUfRMbYjP2f8DIAFC+l/TccwDCq8FdgsNt5Z9w7Ls5aTFpXG67++Tte4rr4kbmv+VqKCotjv2k98SDyz/zIbwzDq54uSE5beFUSkKdHwPBGRRpAWk+a3bWBwUvxJfLf7OyYOmUh6djpb8rf4tVm0bxHTN0wnw5kR8No2i41IayTdm3Vnde5qMvMzAfjLJ38hzBZGvjufUSmjWJW5CpfpwmJYMAyDsz4+C5fHxQ+X/sDOwp0syVjCvF3zGNdlHDf1uollmcuYvGYyLo+LHUU7MDAochfR8+2e9Ensw6ktTuX6HtfX7RclIiLSBGh4nohII3n1zFcZ2WYkACYmV3x+BU8OeJKksCRGtR3F33v9HYAidxF5pXm4vW4OlB34w+uGBoVS6C4koziDYEswBr/3ArkqXITaQnn454eJC4sjyBpEalQqY78cS1RQFC3CWjD4g8F0je3qq9g3Z/scrIaVWEcsXq+XOEccVqyYVA5U8OJlWdYyXlr1EoPfH8ycbaqyJyIixxf1NImINJJByYMYlDyI5BXJvLnmTUxMxswZQ9vItnRp1oV7Tr4HgHsW3MOifYswDKPaQrSHshpWMpwZJIQk+Ba4PVgFFbSNbEu76HbsKtzFy2e8zJg5Y6jwVhDriKVPQh/W7l/LQz8/hIGBFSuFrkKK3EWM/XIsXeO6UuAuwIOnxvvnufJoH11z+XIREZFjlXqaREQa2RWdr+DN4W9y80k34zE9rM5dzY6CHb7j13a7lmu6XcNnf/ms2rlW/EuOe8zKZCa7NLta21MSTwEgyhHFI6c+wttnv02zkGaUe8vpm9CX7s26c1GHi1h+5XKeGvQUA1oMAANC7CHEhcTx0fkfYWISag/lzFZn1vo818y95mi+BhERkSZLSZOISCOLD42nf1J//tbzb3x03kd8NvozXhn2CgBr969l/NfjGZEygilrplQ71/IH/xkPsYQQZAkCoGuzrgRZgtiSt4U+7/Thpz0/ERkcSVRQFG2i2jC09VBumX8LJia/5vzKPuc+Wke05t2z3+WLbV9w1edXMSJlBK3DW7M5fzPBluAa71lUXsTGvI1/8lsRERFpOpQ0iYg0Ic3DmtMivIVvu2NMR/4z9D90jOlIRHBEtfblBC753TaqLc1CmgGQU5rD2e3OJqs0CxOT1355jV7/68WAFgOID4ln04FNzL1oLk8tfYolGUu4vsf1fDL6E2IcMZwUfxJ39r2TDjEdWJ69nJt73ozVUvPCuhNOnUDH2I5/4lsQERFpWjSnSUSkCbNZbJzZ+kw25G1gf9n+6sex4bA5KK4orvH83NJccsty+UvqX/jnKf/E4/XgLHdycfuL2XhgI0XlRYxsN5IXlr9AiC2ElQkr6RbXjTNbn0l8SDwrslZwx3d3MKrtKP7R/x+UVpTy+IDHySnJoayirNr9HFYHF3W4qM6/BxERkcakpElE5Biwp2gP6/avw4IF87f/AbSJbENuaS6JIYmYhkl2if9cpuyybCxYiHPEcep7p3Jzz5v5cc+P/L3X3zmt5Wlc061y/lFkUCTh9nAeWvgQg1sNZnjKcAa9P4iucV054DrAGa3OACDEFsJ5qecxb9c8ujXrRkl5CWe3PZvrT1KpcREROX5pcVsRkWPED3t+4OZ5N9Mzvierc1bjpbKSXqgtFLfHTYVZUeN5nWM7c1+/+3jgxwe4qvNVXNXlqloXozVN03dsQ94G2kW1o8BVQHxofP08lEgt9K4gIk2JeppERJq4BbsXUFJRAkCYPYyUyBRsho3l2csBfMdqYsHC1V2upk9iH766+Ktqx8sqynDYHL7tg5OpTrGdAJQwiYjICU+FIEREmrjFGYv5Yc8PdGvWDdNrMnvrbPYU7Tmsc01MHvzpQTKdmdWO/bjnRwa8N4Dc0ty6DllEROS4op4mEZEm7r5+9wGwv3Q/ZZ4yEkISyCytngRVCbeHgwmlnlIeOuUhTmtxGs3Dmldrd1LCSTx4yoPEOeLqLXYREZHjgXqaRESOEXEhcfx4+Y/EOmIDtntp6Euc1vI0bjzpRi7qcBFJ4Uk1tosMiuTC9hfWOr9JREREKilpEhE5hkQGRXJ227P99sUExfhtj/96PF/v/JrU6FQAyj3lTFg0gW352xosThERkeOJkiYRkWPInqI9vLDyBb99+e58DKr3Ft3x/R3cNv82itxFbM7fTKG7sKHCFBEROa5oTpOIyDGkWUgzUiJT2F643bevas2mQ9kNO6UVpThsDqafPb2hQhQRETnuqKdJROQY4rA5mH3B7D+c1wSQGpPKq8NeJdQe2gCRiYiIHL/U0yQicoyxGBZu6nkTjy9+vMbjd/S+g9iQWDYf2IzVsDZwdCIiIscfJU0iIsegSzteytc7vmZp5lLfvp7xPfm/M/6PaEd04wUmIiJyHFLSJCJyjHprxFtsy99Gdkk2/ZL6YTE04lpERKQ+KGkSETmGtYtuR7vodo0dhoiIyHFNv5YUEREREREJQEmTiIiIiIhIAEqaREREREREAlDSJCIiIiIiEoCSJhERERERkQCUNImIiIiIiASgpElERERERCQAJU0iIiIiIiIBKGkSEREREREJQEmTiIiIiIhIAEqaREREREREAlDSJCIiIiIiEoCtMW5qmiYAhYWFjXF7ERERaeKq3hGq3hlERBpToyRNRUVFALRq1aoxbi8iIiLHiKKiIqKioho7DBE5wRlmI/wKx+v1sm/fPiIiIjAMo6FvLyIiIk2caZoUFRXRokULLBbNJhCRxtUoSZOIiIiIiMixQr+6ERERERERCUBJk4iIiIiISABKmkRERERERAJQ0iQiIiIiIhKAkiYROWxDhgzh9ttvr7Z/6tSpREdHAzBhwgQMw2DkyJHV2j333HMYhsGQIUOqHduzZw9BQUF069atxnsbhuH7REVFMWDAAObPn+87/sMPP3DeeefRokULDMNg9uzZR/OIIiIiItUoaRKROpeUlMR3333Hnj17/PZPnjyZ1q1b13jO1KlTGTNmDIWFhSxZsqTGNlOmTCEjI4OFCxfSrFkzzj33XLZt2waA0+nkpJNO4pVXXqnbhxEREZETnpImEalzCQkJDB8+nGnTpvn2LVq0iNzcXM4555xq7U3TZMqUKVx99dVcccUVvPXWWzVeNzo6mubNm9OtWzcmTZpEaWkp33zzDQCjRo3i8ccfZ/To0fXzUCIiInLCUtIkIvVi/PjxTJ061bc9efJkrrzySoKCgqq1/e677ygpKWHYsGFcddVVvP/++zidzoDXDwkJAcDtdtdp3CIiIiKHUtIkIvXi3HPPpbCwkB9++AGn08mHH37I+PHja2z71ltvcdlll2G1WunWrRvt2rXjo48+qvXaJSUl/POf/8RqtTJ48OD6egQRERERAGyNHYCIHJ/sdjtXXXUVU6ZMYdu2bXTo0IEePXpUa5efn8/MmTP56aeffPuuuuoq3nrrLcaNG+fX9vLLL8dqtVJaWkp8fDxvvfVWjdcUERERqUtKmkTksEVGRlJQUFBtf35+PlFRUdX2jx8/nv79+7NmzZpae5neffddysrK6N+/v2+faZp4vV42bdpEhw4dfPtfeOEFhg0bRlRUFPHx8XXwRCIiIiJ/TMPzROSwdezYkZUrV1bbv3LlSr/kpkrXrl3p2rUra9as4Yorrqjxmm+99RZ33XUX6enpvs8vv/zCoEGDmDx5sl/b5s2bk5aWpoRJREREGpR6mkTksN144428/PLL3HrrrVx33XUEBwfz+eef89577/HZZ5/VeM78+fMpLy/3reN0sPT0dFauXMn06dPp1KmT37HLL7+cxx57jMcffxyb7Y//U1VcXMyWLVt829u3byc9PZ3Y2Nhay5yLiIiIHA71NInIYWvXrh0//PADGzZsYNiwYfTv358PP/yQjz76qMbFbAHCwsJqTJigspepS5cu1RImgNGjR5Odnc0XX3xxWLEtX76cXr160atXLwDuvPNOevXqxcMPP3x4DyciIiJSC8M0TbOxgxAREREREWmq1NMkIiIiIiISgJImERERERGRAJQ0iYiIiIiIBKCkSUREREREJAAlTSIiIiIiIgEoaRIREREREQlASZOIiIiIiEgASppEREREREQCUNIkIiIiIiISgJImERERERGRAJQ0iYiIiIiIBKCkSUREREREJAAlTSIiIiIiIgEoaRIREREREQlASZOIiIiIiEgASppEREREREQCUNIkIiIiIiISgJImERERERGRAJQ0iYiIiIiIBKCkSUREREREJAAlTSIiIiIiIgEoaRIREREREQlASZOIiIiIiEgASppEREREREQCUNIkIiIiIiISgJImERERERGRAJQ0iYiIiIiIBKCkSUREREREJAAlTSIiIiIiIgEoaRIREREREQlASZOIiIiIiEgASppEREREREQCUNIkIiIiIiISgJImERERERGRAJQ0iYiIiIiIBKCkSUREREREJAAlTSIiIiIiIgEoaRIREREREQlASZOIiIiIiEgASppEREREREQCUNIkIiIiIiISgJImERERERGRAJQ0iYiIiIiIBKCkSUREREREJAAlTSIiIiIiIgEoaRIREREREQlASZOIiIiIiEgASppEREREREQCUNIkIn/o1VdfxTAM+vfvX+NxwzC45ZZbfNs7duzAMIwaP6eccoqv3bhx4wgPDz+iWKZOnYphGCxfvrzWNqWlpVx77bV069aNqKgowsPDOemkk3jxxRcpLy8/ovuJiIiI2Bo7ABFp+qZPn05KSgpLly5ly5YtpKWlHdZ5l19+OWeffbbfvvj4+PoI0U9paSlr167l7LPPJiUlBYvFwqJFi7jjjjtYsmQJ7777br3HICIiIscPJU0iEtD27dtZtGgRM2fO5IYbbmD69Ok88sgjh3Vu7969ueqqq+o5wupiY2NZvHix376//e1vREVF8fLLL/Pvf/+b5s2bN3hcIiIicmzS8DwRCWj69OnExMRwzjnncPHFFzN9+vTGDumopaSkAJCfn9+ocYiIiMixRUmTiAQ0ffp0LrzwQoKCgrj88svZvHkzy5YtO6xzS0pKyM3N9fs05Jwit9tNbm4uu3fvZtasWTz//PO0adPmsIcXioiIiICSJhEJYMWKFWzYsIHLLrsMgIEDB5KcnHzYvU2PPPII8fHxfp+FCxfWZ8h+Zs6cSXx8PK1bt+bCCy8kOTmZzz77DJtNI5NFRETk8OnNQURqNX36dBITExk6dChQWSXv0ksv5Z133mHixIlYrdaA5/+///f/uOSSS/z2nXTSSfUW76GGDh3KN998Q35+PvPmzeOXX37B6XQ22P1FRETk+KCkSURq5PF4eP/99xk6dCjbt2/37e/fvz8TJ05k3rx5DB8+POA12rdvz7Bhw+o71FolJiaSmJgIwMUXX8yTTz7JWWedxebNm1UIQkRERA6bhueJSI3mz59PRkYG77//Pu3bt/d9xowZA3BMFoS4+OKLKS4u5pNPPmnsUEREROQYop4mEanR9OnTSUhI4JVXXql2bObMmcyaNYvXXnuNkJCQRoju6JSWlgJQUFDQyJGIiIjIsURJk4hUU1paysyZM7nkkku4+OKLqx1v0aIF7733Hp9++imXXnppI0QYWG5uLnFxcRiG4bf/zTffBKBv376NEZaIiIgco5Q0iUg1n376KUVFRZx//vk1Hj/llFOIj49n+vTpjZY0TZ48mblz51bbf9ttt/HOO+/w2muvccEFF9CuXTuKior46quv+OabbzjvvPM444wzGiFiEREROVYpaRKRaqZPn47D4eCss86q8bjFYuGcc85h+vTp7N+/v4GjqzRp0qQa948bN46BAweyaNEi3nvvPbKysrDZbHTs2JF///vf/P3vf2/gSEVERORYZ5imaTZ2ECIiIiIiIk2VqueJiIiIiIgEoOF5ItIkFBcXU1xcHLBNfHz8Hy6oKyIiIlLXlDSJSJPw/PPP8+ijjwZss337dlJSUhomIBEREZHfaE6TiDQJ27ZtY9u2bQHbDBw4EIfD0UARiYiIiFRS0iQiIiIiIhJAowzP83q97Nu3j4iIiGqLT4qIiIiYpklRUREtWrTAYlHdKhFpXI2SNO3bt49WrVo1xq1FRETkGLJ7926Sk5MbOwwROcE1StIUEREBVP6HMDIysjFCEBERkSassLCQVq1a+d4ZREQaU6MkTVVD8iIjI5U0iYiISK00jF9EmgINEhYREREREQlASZOIiIiIiEgASppEREREREQCUNIkIiIiIiISgJImERERERGRAJQ0iYiIiIiIBKCkSUREREREJAAlTSIiIiIiIgEoaRIREREREQlASZOIiIiIiEgASppEREREREQCUNIkIiIiIiISgK2xAxBpSHv37uXdd9/F6XQSGxvLVVddRWxsbGOHJSIiIiJNmHqa5ISydu1anE4nAHl5ebz00kuYptnIUYmIiIhIU6akSU4ow4cP58EHHyQuLs63b+LEiY0YkYiIiIg0dRqeJyecvXv3UlZW5tsuLi7mk08+Yffu3fTp04dTTz21EaMTERERkabGMBthbFJhYSFRUVEUFBQQGRnZ0LeXE9T+/ftZu3Yt8+fPr7WNYRgkJSVx1lln0bZt2waMTkREDqZ3BRFpStTTJCeEPXv28OabbwZsk5CQQHZ2Nnl5eWzcuJE2bdpgsWgEq4iIiMiJTm+EctzLzc0NmDA1b96chx9+mODgYLp06cINN9zAkiVL+OSTTxowShERERFpqtTTJMetsrIydu3axbp164iNjSUvL4+0tDQ8Hg/79++nsLAQwzDIzMxk/fr1jB07FovFgtfrpUePHpx88smN/QgiIiIi0gSop0mOW0uXLuW9994jLy+P3r17ExcXx5YtW4iPj+eGG27giiuuwG63Y7fbycvLIz8/H4vFgs1mY/To0SQnJzf2I4iIiIhIE6CkSY5bCxYswDRNvF4v3333Hfv37yc8PJywsDCmTZvGu+++i9vtJjU1lZ9++oklS5bg8XgO69oFBQWsW7cOANM0mT9/PtnZ2fX5OCIiIiLSSJQ0yXGpqKiIIUOGANCxY0fOOeccwsLCcLlcJCcnM3DgQIKDg2nZsiUbN27E5XKxbNky0tPTgcqhfVVJEcC+ffv473//y4oVKwBYv349n332GQBer5cNGzaQl5fXoM8oIiIiIg1Dc5rkuDRnzhycTidpaWnk5eWxZ88eTNNk1KhRpKamUlJSQrNmzSgrK6Oq6r7FYiEyMpIDBw4wY8YM9u7dS+fOnRkzZgzl5eU4nU6KiooA6N+/P7179wbAarVy0003NdqzioiIiEj9Uk+THJfOPvtsTj/9dLZs2UJcXBxutxubzUb37t0BKC0tJSEhgWbNmvmSn169euF0OnnxxRcJDg5m4MCBJCUlAdCmTRvuuOMOX++VYRgEBQU1yrOJiIiISMNST5McF3JycoiPj6esrIxp06YxatQo2rdvzw033EBSUhLJycmUlJQwZcoU0tLSKCgo4Ndff+Xiiy/mp59+IjU1lfPOO4/y8nLCwsJo3749Bw4cYN26dezcuZM2bdo09iOKiIiISCMxzKqxSQ1Iq3xLXdq9ezdvvfUWkZGRDBgwgOzsbPbu3UthYSElJSXYbDaCgoK45ppryMrKIjY2FqfTybvvvothGJx++unk5uaSkpLCL7/8QmlpKRaLhaKiIkpLSzEMg2bNmhEVFYXdbqdTp0507tz5iHuaiouLWbx4MX369CE9PZ3y8nJ69+6N2+0mKSmJvLw8IiMj2b9/P4mJiRiGUU/fmIhI06d3BRFpSpQ0yTHP6/WyY8cOsrKyMAyDNm3asHLlSpYvX+6brxQdHU1+fj4dO3Zk69attGzZkl27dpGSkoLD4WD9+vVHfN9mzZpRWFhIy5YtycjIoE+fPsTFxdG9e3dKSkrYvHkzW7ZsITQ0lDPPPJP9+/czbdo0HA4HZWVlhISEAJXV98LCwsjOzqZZs2bk5uYSFRXFmDFjaNmyJUVFRURERNTpdyYi0tTpXUFEmhIlTXLMysvLY/LkybjdbmJiYggNDWX79u0ABAUFUVFRgdfrrXG7Pp1yyimsXLkSt9vt22cYBn369GH58uWEhYVRVlbG1VdfzdKlSyktLfXFfbCUlBTKy8vZu3cvt99+Ow6HA4fDUe/xi4g0BXpXEJGmREmTHLOys7P573//i2EYlJeX0759e3bu3OmXrDQWm81GWFgYBQUFQGWFvcNdA6rq/K5du7J69WpM0yQiIoKioiJOPfVUdu3axejRozFNk/j4+Pp6BBGRRqV3BRFpSpQ0yTHF5XIxffp0cnNzfXONCgoKyM/Px263U15e7vtnYzMMg/r8v5fVauXWW28lKiqq3u4hItJY9K4gIk2JSo7LMeWzzz4jOzvbVzxh79695OfnA/gSpYYYgnc4Dk2YaivscLQFHzweDy+88ILfIrwiIiIiUveUNEmTtGzZMn744QcA9u3bx6uvvsovv/xCnz59iIyMxGq1smfPHioqKqrN8zmSYXCHCg0NrfWYzVZzhf6qgg4AwcHBNG/eHAC73e5XYa+2Xqc/0xtls9lISUk56vNFRERE5I9pnSZpUkzTxDAMfvnlF/Lz8zn99NMJCgoiJyeHWbNmAfiG31mtVgDKysqO+n6nn346ISEh7Nq1i82bN1NSUlJr24qKCiIjIzFNk6KiIqAySTrY6NGj/eJ0uVx+x2ua25SWlsaWLVtqvW+bNm3YuXNntf3x8fFcffXVARM9EREREfnzNKdJGs26deto164deXl5zJo1iyuvvJI333wT0zQZNWoUS5YsobS0lNzcXL95SkdaVAF+HwJX0x/3gQMH4nQ6WbVq1RFdLywsDJfLRXl5uW/+UmRkJE6n0y++qKgoIiIiyM3Npby8HI/HE3C+U9WxhIQEDhw4wMknn8yiRYuA3589KCiIBx544Ei+AhGRY4reFUSkKVHSJI0iIyOD119/nR49erBjxw5iYmLYs2cPERERFBcXU1FRQWJiIlarlX379hEZGUl5eTkWiwWn03lY97BYLPUyv8lisWCxWKioqGDw4MEsWLAACFz4oabiFBaLBcMwakwAy0wbP5S35Sz7Zmqa8tS1a1cuueSSP/8wIiJNlN4VRKQp0ZwmaRBZWVls2rQJgJ07d1JYWIjD4WD16tWEhYWRkpJCx44duf76632JTlZWFoWFhUBlcYfS0lLKy8v95gkFMnjwYKAymalaHDYsLMzvn4fDarViGAaJiYlA5ZC8iooKAF/CBBAeHu4bMniomqr5eb1eoqKiiIqKonnz5tjt9t/vaZi0tRyoMWHq0aMHZ5555mHHLyIiIiJ/juY0Sb3Zs2cPcXFxlJWV8f3335Ofn0+HDh1YsGABZWVlvsQjIyODjIwM33nh4eG+ZKlqTlBxcTGAbw0mm83mOz8kJITS0lKCgoL81mj67rvvAHxzkKxWK3FxcTidTpxOZ409UVXD3+Li4ti/fz/wew9SVlYWUFksIjw8nJycHN95N954I5MmTTri7ygvLw/DMHzrOVXFgMdDe1tujeeMHDlS85hEREREGpCG50mdc7lcrF69mm+//ZbU1FRKS0vJyMjg+uuvZ+XKlcTGxvLll1/i8Xh8w9mqkpXQ0FBfImOaZrVCCnUh0PymKg6Hwzf/qCYHJ20A0dHRFBQU1HhNm82GzWY77IIVkZGReDyeGochnnXWWZx22mlHXaZcRORYoXcFEWlKlDRJndm0aROffvqpr1eobdu27Nu3D5fLRcuWLcnJyaGiogK73U5ISAhlZWXVEonY2Fjy8vL+8F5Vc4QOJwH6Mw6ep/RHc6Sq2la1S05OJjMz0y+5qk3VOVXX6Nq1K2vXrvUdj42N5YYbbqhWrU9E5HildwURaUo0p0mOmNPp9M0vWrVqFcXFxcyaNYuvv/7aL6nYsWMHsbGxAOzduxe3243X68XlcpGfn19jz8vhJEzw+xwh0zTrNGGyWH7/v4TVavVdOygoiLZt2wY8t6pt1XeQmZnpd72DRUdHExER4Zsv5fV6Oe+883zFIQ5OmHr16sVNN92khElERESkkWhOkwRkmma14gtvvfUWUVFRDBs2jE8//ZTk5GR2795d47kZGRl0796dX3/9NeB9aqouB5XzmyoqKo5oLabaSpKnpKSwa9cuX1JTVXghLCyM/Px8oHJ+VFVi5/F4fD1AQUFBvrWZDlVb1bxAPUzFxcW+xXKrzv3ss8+qPYfFYmH48OG1LqwrIiIiIvVPb2JSTbnbw08fbq782XGAZRvn07FjR0aOHMm2bdsoKSmhU6dO2Gw2unXr9ocJ0cHHmzdvTmZmpt/xqvlDLVu2ZO/evb79MTExuN1uv4SptuSqqhhE1Xm5udWLKCQnJxMXF8fKlSuJj4+noqKC1q1bk56e7mvjdDrp0aMH69atw+v1+hKs4uJinE4nhmEQHh7ul0Adbk+XYRjY7XbcbjemaRIbG8u+ffv82vTs2ROHw8GyZcu4//77/SrqiYiIiEjj0Jwm8cnLcBKbFEaZs5xPX0wnNDKIll0jyPNuZ8OGDeTm5mKaJoZhkJaWxubNm4/4Hi1btsTpdJKfn4/D4aCsrCzg+kYtW7YkIyODHj16+CU3gVgsFt/CswkJCezZswfwL94QGxtLUVERV1xxBe+8845fr1L//v1p1aoVa9asISsrC7vdTnZ2do09WIZhEB0dTWRkpK+3qqCggOjoaN92laqKfKGhob6fS0pKAEhISODcc8+ldevWvvLqR1IWXUTkeKN3BRFpSjSnSQDI3VPMe48uYfkXO3CE2TGSs8g1tzJ38Qd4PB6Kior8ii4cTcJkGAZ79+71JROBEqaquUB79+7F6/X6JUw1rYV08D6v10tRURHl5eV+FegqKioIDg6mb9++eDweUlNTyc3NpUePHr7zLBYL69atY+bMmVgsFkzT9M2z6tWrF6mpqb55SDabDdM0OXDgAKWlpbjdbtq3bw9Afn6+7xmqvrf9+/cTHBxMWVkZaWlpvoQpMTGRiy66iNatW/ueXQmTiIiISNOhpOkE5yqtYN60dQSHWknp0Yyo+Mphbmu3LaegLBOHw8GiRYt8CQ5wVOWuDy6qUKUqKaly8HVrq1JnGEaN85Wq9h089yoxMZFhw4b5ilFA5TpPO3bswOl0kpWVxRdffEFOTo6vLLjX62XAgAGEh4fTrFkzoqOjqaiooFevXqxZs4YOHToQFxfHKaecQkVFBTExMb6ELSkpya+Aw8Gl06u4XC68Xi8//fQTYWFhnHnmmVxzzTW+hXNFREREpOlR0nSCq3B7yMsoodzl5ZybehCUUJkc/f3vf6ewbD8Oh4OWLVsyaNAgUlNTsdvtOByOI77PoYlOUFCQX2Jkt9sPa25QVUnvg0VERPj2VS1um5SURGZmJjNmzMDr9dK6dWvf8I7c3FwqKirIz88nMjKSffv24XA4fMUWvvnmG4qLi1m5ciUul4u+ffuyatUqAL788kv279/Pzz//DEBRURFhYWEUFRVx7rnnUlpaWuMwkrCwMEJDQ0lMTKR58+YEBwfjdDpp1qzZUX2fIiIiItJwNKdJANi9ezdFRUXMmDGDESNGkJ6eXq1IQZVAc5D+yMGFHI72OoHWS6o6VtX7Y5qm3/pHtenTpw8hISEsX77cr/DEwfOYqn622+1UVFT4rld17UBDDS0WCx6Ph+7du5Ofn09ERAQdOnSgc+fOfr1jIiJSSe8KItKUqHreccbj8bJpSRZRCSG0SIsO2La8vJwXXngBwzBo3rw5ZWVljB49mj179rBv374aK93BkS0kGxQU5Ov9qbpnaGgoJSUlARONQLxeL126dGHDhg2+eUhV+6uSqYMLO1TFfGgsB1uxYoXv54MTpYN7yLxeL2FhYX7zpKquDZWFJmqq7Of1eomOjiY4OJjBgwcTExNT6/pNIiIiItL06M3tOLNz9X7mv72exbO3+u3fu3cvK1eu9G3n5OTw2muvYbFYcDqdbN26lb179zJ79mwWL16Mw+HwFUA42hd8wzD81iqq6v2pKoAAR5aAHezgOVJer9fvOgkJCUDlArJhYWG+YXe1JUyHxnzwmkgHF5gwTROn0+m3yOzB302HDh244YYbuPDCC6vN+8rLy8PpdFJRUaGESUREROQYo+F5x4HNy7Jo0T6asOhgTK9J7t4iYpuHY7X//nL+/vvvs2HDBrp370779u356quvcDqdvtLYVb0/UJl0lJaW1rqY69EKCQnx9QAdyWK1R6Pqz1d9sFqtpKam+g1fPPPMM0lLS2P//v1MnTqV5ORkDhw4gNPpxGq1csEFF9C9e/d6iUdE5HikdwURaUr0K+9jnNdr8v27G9nxay5lxeX8umAPcS0j/BImr9dLXFwcDoeD0NBQCgsLfQnTKaecQrNmzfx6f/Ly8o4qYQoLCyMqKqra/qpel6qy3PWRMB3asxMcHOzXYwQE/Es3KCjosKoCOhwOPB4P2dnZFBcXY7FYaNu2LbGxsUycOBHDMOjRowfFxcW0bNmSgQMHEh0d7StFLiIiIiLHHiVNxziLxWD03b3ZsiKbHb/msmjmVsqKK+fVfP3112zbto2ff/6ZxYsXYxgGv/zyC0uWLAFgzJgxzJ07t9oQuYOH1AUSHR3tt+10OiksLKyWfDREZ2bVPaqGvmVnZ/s9h8PhIDU1lWbNmtV4vtvt9ivscCiLxcIdd9zhu2ZiYiI2m43i4mLatm3Le++9R1BQEFOmTGH37t3k5+ezadMmfvrpJ+Lj46slcCIiIiJy7NCb3DGsKK+MoBAbmdvy2bPhAIX7S/F6vXz6xUwKCgrIz8/n559/JjY2FsMwKC0tBfD19KxZswaoXHS1JiEhIb5zalK1SO3BakuQair4cHDBhdraVDm0Yl5aWhpbtmypdu7Bbfr06YNhGL6KeGvXrvVLpIKDg/F4PNWSxKoYEhMTycrK8iVRBxevyMrKIjg4mNDQUJxOp+87TU5OZs+ePb5rORwOzjrrLCVNIiIiIscwvckdo36etZV1C/dS4fYSnRgKQImzFFu4l+3bt+NyuYiMjKSiooJ+/frx5ZdfVrvGokWLAt4jUMJ0pGpKhmpapLY2VQUdDhw4AOBLmKpKmB96fbvdXq0i3qGFIGpKmKpcc801FBcX89FHH2G324mIiGDp0qW+mKOiosjIyKBly5asWLGC+Ph4IiMjueiii/j0009p3749nTp1wuFw+BWTEBEREZFjj5KmY8TezQdY+PFm9u8tJjQyiJLCcrwekw79Eskp205J7n5CS1rhiSzA5XJhtVopLCzEYrGwfPlyQkJCcLlc2Gy2w6oid7T+zBpOtZ1ntVopKioiMjKyWo9T//79+emnn/zaBwcH43K5CA8Pp7i4uNYes4MTpkPXWvriiy9o1qwZhmFw8sknExcXR3BwMDExMcyfP5/s7GwcDgennnoqpaWlFBYWcvHFFxMSEsJll112VM8vIiIiIk2TkqYmrCivlIytBaz9aR/7Nub79hfnuQiN30hJTgc2LcnCxIEzYQcxKTbad0rl51VbfMPFvF4vOTk5vnPrM2GCI0uaqir3BVK1KCxUVlICGDBgAAsXLqRr165s377d19Zms1FRUYHX6/UlTlDZY3boUMCD21f9Mzg4mODgYKKiotizZw9JSUkMGTKE7777ztfmpJNOIiwsDI/Hg2mazJ49m4yMDABWrVrFaaeddljPLiIiIiLHDiVNTYyrrIIvX1/N3vX5tbYJjtpL66ET2Tn/Popz25Afs4ZgWygZBduILLDTs2dPFi9eXG8xGobhl8wc7OBeoJo4HA5fQndownTwsdquZ7fbfYnS2rVr/eYKVcVTXl5OUFAQwcHBvsVma0qaWrZsyc6dO309Th6Ph7KyMgoLC4mJiSE+Pp7y8nLfelMhISF4vV7atWuH1Wrl119/paioCKvVSvPmzenUqVPAZxcRERGRY5Oq5zUR+7Yc4KePNvLm7T8ETJgAXAXJbPvyMZJTT+NAs5V4g4owSkPweD0EBQXVacIUEhJSbZ9pmkc0H+lgBydFdrsdgH79+nHrrbcSFxcX8Nyq+UsHr49UUVHhq+JnmiZBQUEAvqF5ERERQPUeNrvdzs6dOwFo3bo1w4cPx+Px4Ha7sVqtBAUFsWrVKr7//nsAunbtyvDhw7FarWzdupVdu3Zx5ZVX0qxZM2JiYujVqxexsbFH9Z2IiIiISNOmxW0b0f59RXz2f7/gPPDHQ+aswWCz2nCVVBASaccRZudARgklYbsoCdmHrSKcckfen5pT1FiqYk5ISCA7O/uIznU4HJimSVhYGHl5eVitVgzDoG/fvkRERFBUVMSqVauIiIigXbt2bNy4Ea/X67cOVatWrdi9e7cvltatW7N3795qRSJiYmKw2+1kZ2cTHR3Nrbfe6itxLiIidUvvCiLSlOiNrxF99NSKagmTxWpgsUK3IS2wB1f+64luHsLlD51KaFQQsS3CKCsq50DuAcCkPG4fyW0TKXfkAQ2zJtLRMAyj2rpOVapizsnJqdamtlLdhmEwaNAgDMPA5XL5erAsFgsVFRXY7XYGDBhARkYGLpeL3Nxcfv31V9+CtAfLysryXdM0Tb8hewc7eAFgVcQTEREROXGop6kRbV6Rxc61++l5ZjLF+91k7SgkrW8CcS3CAcjaWci8KWup8Hgp3u8iLjmM/MxSzrm5B+t2riAvJ59tOzcTHBxMaWkpFRUVhIaG+r3cN7aDq9JFRUX55jG1adPGNzyuJjExMb7y4jWxWCy0bNmS/fv3+5734OIPNpuNzp07s2HDBkzTrJYEWSwWrFYrFRUVREREUFhYWOO8p6pnGDFiBD169CAoKAiLxaIeJhGReqZ3BRFpSpQ0HQN2r8/j0xfTCY2y07J9DAPHdCAo1OLrhZk4caLfcLOGEBYWhtPpPOpz3W63r0hDlaoEKzk5mczMzFrXUILfCztU/fPgZNFqteL1en3JWnJyst/wu6o5S506dWLlypW+a5522mmkp6fXmHSOHDmS7777jjvvvJPg4OCjem4RETl8elcQkaZE1fOOAa06x3LZw/1whNkJiwpm5cqVfP3119xzzz2+3pKjVVvvyh852oQJKqvbHZowRUZG+kqKV5X3DsTj8WAYBs2aNSMrKwu73U67du3IycmhqKgIu91O3759+fnnn9m9e7cvITNNE7vdTocOHbDb7b61n/Lz88nKyqqWMKWlpdGqVSu6du2KxWLxFZoQERERkROHepqOQQUFBWzfvp2ePXuyevVqFi1aRElJCS6Xyzc8rT5VDU+rSmwOTnhqUtuQwaSkJLKysmosU36kBS2q7lHbsL7Q0FDcbrcv5tjYWOx2O06nk/LyclwuV7VCFF27duWSSy457BhERKTu6F1BRJoSTcw4BkVFRdGzZ0+gckHVrKwsOnTowJlnngngK7MNtRdS+DO8Xq9f71SghAmodY5VRkZGres6HWkuX3WPgoKCGos0lJSU+JU0LygoICkpCafTyRVXXME555zDqFGjiIqKIikpiXbt2nH22WcfUQwiIiIicnxST9Mxzuv1snTpUr7++mvi4uIwDINu3brh8XjIzMykc+fOzJ49u07vabFYak12Ah1rTG3atKGgoIABAwbQo0cPiouLiYyMpLy8nNDQ0MYOT0REDqF3BRFpSjSn6RhnsVg46aSTfH+pnHLKKRiG4demQ4cOLFq0iGXLlh318L2Dh8sFSooOPZaSksKOHTt821VzqFq0aEFGRgYtWrTA6/XWOEzv4ASspiF+B8eUnJxMVlaW31yp0NBQrFYrbdu2ZdSoUXg8HsLDKysTVhVzqFpgV0RERESkNuppOoFUVFTw2muvkZub6/v+61O7du3Ytm0bULkIbXBwMAUFBTgcDlJSUsjJycHhcLBv3z5f8uNwOKioqMBms1FWVkZsbCwtW7akT58+fPDBB1itVoqLiwkODsbr9WIYBm63m6SkJCIiIti0aRPJyclYLBZGjhyJ3W4nPj6+Xp9TRETqnt4VRKQpUU/TCcRms9GpUyesViv9+/cnIyODffv2MW/ePF+b4OBg3G73Ec0pCgoKwu12V9u/bds2XyW8gxefLSsrY+/evb4y6cHBwXg8Hl+7pKQkMjIyAMjLy6OiooKLLrqI0NBQSktLSUxM9CVko0eP5uOPP8YwDC655BJ2795Nu3bt/OIoKCjgl19+YeDAgVpfSURERESOmJKmE8ywYcN8P6emppKamkq3bt0IDw9n5cqVbNu2jcsvv5z33nuPnTt30rlzZ/bu3etXVe5gLVq0oEWLFqSnp2Oz2XC5XH4J18Glw4ODg7n22mtZtWoVixcvJjY2loKCAlwuF6mpqcTHx2OaJps3b/a7R9U1EhISME2TwYMHExUVhdPpJDQ0lFtuucXX9tCECSAnJ4dly5bRr18/HA7H0X1xIiIiInLC0vA88Vm5ciUbNmzgiiuu4MUXX6SkpIQxY8aQlJTEvHnzWLFiBaeffjopKSnMnTuXsLAwtm/fjs1mwzAMvF4vLVq0ICsrC7fbjc1mw2q14nK5SEpK4vrrr8diseDxeMjPz/f1aoWGhvLZZ5+Rn5/P3r17adOmDSEhIZimSceOHUlISCA5Obmxvx4REWlAelcQkaZESZPUqLCwkIqKCiZNmsSwYcPo1asXixcvrtZbU1BQwJw5cwgLC+P0008nNjYW0zQ5cOAATqeTLVu20KlTJ5KSkgLer6qMeUZGBq1bt67vxxMRkSZO7woi0pQoaZKAiouLCQ0N1VwgERFpUHpXEJGmRHOaJKCqEt0iIiIiIicqdR+IiIiIiIgEoKRJREREREQkACVNIiIiIiIiAShpEhERERERCUBJk4iIiIgclu+//x7DMMjPz2/sUBrFuHHjuOCCC+r0mhMmTKBnz54Nfl85MkqaRERERBrAuHHjMAzD94mLi2PkyJGsXr36qK85depUv2tWfQ5eU/FoDRkyhNtvv/1PX6eu7dixA8MwSE9Pb+xQmqwTPbmtD0qaRERE5ITk8Zr8vHU/n6Tv5eet+/F463/pypEjR5KRkUFGRgbz5s3DZrNx7rnn1tq+KkEIJDIy0nfNqs/OnTtrbe92u486fpETlZImEREROeHMXZPBwGfmc/kbi7nt/XQuf2MxA5+Zz9w1GfV63+DgYJo3b07z5s3p2bMn999/P7t37yYnJ+eor2kYhu+aVZ/ExETf8SFDhnDLLbdw++2306xZM0aMGMH48eOrJWvl5eUkJCTw1ltvMW7cOBYsWMCLL77o673asWOHr+2KFSvo27cvoaGhnHbaaWzcuNHvWpMmTSI1NZWgoCA6duzI//73P7/j+fn53HDDDSQmJuJwOOjWrRtz5szB6XQSGRnJxx9/7Nd+9uzZhIWFUVRURNu2bQHo1asXhmEwZMgQX7s333yTzp0743A46NSpE6+++qrvmNvt5pZbbiEpKQmHw0GbNm146qmnav1ePR4Pd955J9HR0cTFxXHvvfdimv6Jtcvl4tZbbyUhIQGHw8HAgQNZtmyZ7/jUqVOJjo6u9iw1JcKvv/46rVq1IjQ0lDFjxlBQUFBrbF6vl6eeeoq2bdsSEhLCSSed5PvOduzYwdChQwGIiYnBMAzGjRtX67Xk8ChpEhERkRPK3DUZ3PjOSjIKyvz2ZxaUceM7K+s9capSXFzMO++8Q1paGnFxcfV6r2nTphEUFMTChQt57bXXuO6665g7dy4ZGb8/65w5cygpKeHSSy/lxRdf5NRTT+X666/39V61atXK1/bBBx9k4sSJLF++HJvNxvjx433HZs2axW233cZdd93FmjVruOGGG7jmmmv47rvvgMoX/lGjRrFw4ULeeecd1q1bx9NPP43VaiUsLIzLLruMKVOm+MU/ZcoULr74YiIiIli6dCkA3377LRkZGcycOROA6dOn8/DDD/PEE0+wfv16nnzySR566CGmTZsGwEsvvcSnn37Khx9+yMaNG5k+fTopKSm1fmcTJ05k6tSpTJ48mZ9++om8vDxmzZrl1+bee+9lxowZTJs2jZUrV5KWlsaIESPIy8s7on8/W7Zs4cMPP+Szzz5j7ty5rFq1iptuuqnW9k899RRvv/02r732GmvXruWOO+7gqquuYsGCBbRq1YoZM2YAsHHjRjIyMnjxxRePKB6pgdkICgoKTMAsKChojNuLiIhIE1df7woVHq95ypPfmm3um1PjJ+W+OeYpT35rVni8dXpf0zTNsWPHmlar1QwLCzPDwsJMwExKSjJXrFhR6znbt283A72uTZkyxQR816z6jBw50tdm8ODBZq9evaqd26VLF/OZZ57xbZ933nnmuHHj/M677bbb/M757rvvTMD89ttvffs+//xzEzBLS0tN0zTN0047zbz++uv9zrvkkkvMs88+2zRN0/zqq69Mi8Vibty4scZnWrJkiWm1Ws19+/aZpmmaWVlZps1mM7///nu/72TVqlV+56Wmpprvvvuu375//etf5qmnnmqapmn+/e9/N8844wzT6z28f7dJSUnms88+69suLy83k5OTzb/85S+maZpmcXGxabfbzenTp/vauN1us0WLFr7zpkyZYkZFRfldd9asWX7/Th955BHTarWae/bs8e378ssvTYvFYmZkZJimWflnp+q+ZWVlZmhoqLlo0SK/61577bXm5Zdfbprm7/+eDhw4cFjPKn9MPU0iIiJywli6Pa9aD9PBTCCjoIyl24+sp+BwDR06lPT0dNLT01m6dCkjRoxg1KhRfnOQunbtSnh4OOHh4XTt2hXAtx0eHs6oUaP8rhkREeG7ZtXnzTff9GvTp0+farFcd911vh6drKwsvvzyS78eo0B69Ojh+zkpKQmA7OxsANavX8+AAQP82g8YMID169cDkJ6eTnJyMh06dKjx2v369aNr166+HqJ33nmHNm3acPrpp9caj9PpZOvWrVx77bV+39Xjjz/O1q1bgcpCHOnp6XTs2JFbb72Vr7/+utbrFRQUkJGRQf/+/X37bDYbffv29W1v3bqV8vJyv2e12+3069fP96yHq3Xr1rRs2dK3feqpp+L1eqsNe4TKXqmSkhLOOussv2d9++23fc8qdc/W2AGIiIiINJTsotoTpqNpd6TCwsJIS0vzbb/55ptERUXxxhtv8PjjjwPwxRdfUF5eDsDevXsZMmSIX6W4kJAQv2taLBa/a9Z230P99a9/5f777+fnn39m0aJFtG3blkGDBh3Wc9jtdt/PVfNzvF7vYZ17aPw1ue6663jllVe4//77mTJlCtdcc03AghjFxcUAvPHGG36JDoDVagWgd+/ebN++nS+//JJvv/2WMWPGMGzYsGrzp+qSxWKpNg+q6t/t0ap61s8//9wv0YLKOXNSP9TTJCIiIieMhIjDK8V9uO3+LMMwsFgslJaW+va1adOGtLQ00tLSaNOmDYBvOy0trdqL8tGKi4vjggsuYMqUKUydOpVrrrnG73hQUBAej+eIr9u5c2cWLlzot2/hwoV06dIFqOyl2rNnD5s2bar1GldddRU7d+7kpZdeYt26dYwdO9YvLsAvtsTERFq0aMG2bdv8vqu0tDRf4QiorDR46aWX8sYbb/DBBx8wY8aMGucfRUVFkZSUxJIlS3z7KioqWLFihW+7qtDFwc9aXl7OsmXLfM8aHx9PUVERTqfT16amUum7du1i3759vu3FixdjsVjo2LFjtbZdunQhODiYXbt2VXvWqnlnNX1H8ueop0lEREROGP3axpIU5SCzoIyaCowbQPMoB/3axtbL/V0uF5mZmQAcOHCAl19+meLiYs4777yjvqZpmr5rHiwhIQGLJfDvx6+77jrOPfdcPB6PX2ICkJKSwpIlS9ixYwfh4eHExh7ed3LPPfcwZswYevXqxbBhw/jss8+YOXMm3377LQCDBw/m9NNP56KLLuLf//43aWlpbNiwAcMwGDlyJFBZ9e3CCy/knnvuYfjw4SQnJ/s9V0hICHPnziU5ORmHw0FUVBSPPvoot956K1FRUYwcORKXy8Xy5cs5cOAAd955J//+979JSkqiV69eWCwWPvroI5o3b16tul2V2267jaeffpr27dvTqVMn/v3vf/utexQWFsaNN97IPffcQ2xsLK1bt+bZZ5+lpKSEa6+9FoD+/fsTGhrKAw88wK233sqSJUuYOnVqtXs5HA7Gjh3L888/T2FhIbfeeitjxoyhefPm1dpGRERw9913c8cdd+D1ehk4cCAFBQUsXLiQyMhIxo4dS5s2bTAMgzlz5nD22WcTEhJCeHj4Yf37k5qpp0lEREROGFaLwSPnVfYCHDrYq2r7kfO6YLUEXhvpaM2dO5ekpCSSkpLo378/y5Yt46OPPvIrm32kCgsLfdc8+FM1xyiQYcOGkZSUxIgRI2jRooXfsbvvvhur1UqXLl2Ij49n165dhxXPBRdcwIsvvsjzzz9P165def3115kyZYrfM86YMYOTTz6Zyy+/nC5dunDvvfdW6xW59tprcbvd1eZZ2Ww2XnrpJV5//XVatGjBX/7yF6AyAXzzzTeZMmUK3bt3Z/DgwUydOtXX0xQREcGzzz5L3759Ofnkk9mxYwdffPFFrYnlXXfdxdVXX83YsWM59dRTiYiIYPTo0X5tnn76aS666CKuvvpqevfuzZYtW/jqq6+IiYkBIDY2lnfeeYcvvviC7t2789577zFhwoRq90pLS+PCCy/k7LPPZvjw4fTo0cOvXPqh/vWvf/HQQw/x1FNP0blzZ0aOHMnnn3/ue9aWLVvy6KOPcv/995OYmMgtt9xS67Xk8BjmoQMtG0BhYSFRUVEUFBQQGRnZ0LcXERGRJq6+3xXmrsng0c/W+RWFSIpy8Mh5XRjZLanO79dUFRcX07JlS6ZMmcKFF17Y2OH4+d///scdd9zBvn37fMPNRBqLhueJiIjICWdktyTO6tKcpdvzyC4qIyGickheffUwNTVer5fc3FwmTpxIdHQ0559/fmOH5FNSUkJGRgZPP/00N9xwgxImaRKUNImIiMgJyWoxODW1fheVbap27dpF27ZtSU5OZurUqdhsTeeV8Nlnn+WJJ57g9NNP5x//+EdjhyMCaHieiIiINEF6VxCRpkSFIERERGrhLSvD63I1dhgiItLImk5frIiISAMqXrKEwi++pGzTJlzr1xM+ZAhRo0Zy4MOPKN+zh/J9+8DrBauV5g8+QMyllzZ2yCIi0kg0PE9ERE44+TNmkPHgP6sfMAws0dHg9eItKPDttsTE0PHnRQ0XoOhdQUSaFA3PExGRE4Y7K4t9j0yoOWECME28Bw5gVC0CaVRWUvMeOEDxwoWYFRUNFKmIiDQlGp4nIiInBHdGBlvPOBOqBlg4HFBWVmNbz969lT+EhUFxMQD77v8H4YNPp8XjjzdEuCIi0oSop0lERI575VnZbB16xu8JE9SaMAEQGYkRFIQtPt63y5OTAxZrPUYpIiJNlZImERE5ru2fPp0tgwcf2UmFhZgVFYR07eq3O6R79zqMTET+rCFDhnD77bf7tlNSUvjPf/7TaPHI8UtJk4iIHLcKPvuMsjVrft9hGGA56K++kJDqJwUH+9oVzZnj2x114WhiLrm4HqOV4924ceMwDMP3iYuLY+TIkaxevfqIrjN16lS/61R9HA7HYV9jx44dGIaB1Wplb9Vw1N9kZGRgs9kwDIMdO3Yc9jUnTJjgi8Vms5GSksIdd9xB8W9DXEWOZUqaRETkuGSaJvse/CeFs2aDtXJYnRETU1lGHCA6GkdVT1JQkO88Izq6chifxf+vyIizzmqAqKVBeT2w/Uf49ePKf3o99X7LkSNHkpGRQUZGBvPmzcNms3Huuece8XUiIyN916n67Ny584iv07JlS95++22/fdOmTaNly5ZHfC2Arl27kpGRwY4dO3jmmWf473//y1133XVU1xJpSpQ0iYjIcak8IxPc7soNT+XLsJmX93uD/HzKli+v/NntrqyYFxZGSJcuWJOSfj8XwDBwb93aQJFLg1j3KfynG0w7F2ZcW/nP/3Sr3F+PgoODad68Oc2bN6dnz57cf//97N69m5ycHF+b++67jw4dOhAaGkq7du146KGHKC8v97uOYRi+61R9EhMTfcddLhe33norCQkJOBwOBg4cyLJly6rFM3bsWKZMmeK3b8qUKYwdO9Zvn8fj4dprr6Vt27aEhITQsWNHXnzxxWrXs9lsNG/enOTkZC699FKuvPJKPv209u/U5XJx33330apVK4KDg0lLS+Ott97yHV+zZg2jRo0iPDycxMRErr76anJzc2u9nkh9UdIkIiLHHdPtZvuFFx5WWyMiovKc4mKsMTGUfPcdnqIivzYpM2cQd911dR6nNJJ1n8KHf4XCff77CzMq99dz4lSluLiYd955h7S0NOLi4nz7IyIimDp1KuvWrePFF1/kjTfe4IUXXjiia997773MmDGDadOmsXLlStLS0hgxYgR5B//iADj//PM5cOAAP/30EwA//fQTBw4c4LzzzvNr5/V6SU5O5qOPPmLdunU8/PDDPPDAA3z44YcB4wgJCcF98C8gDvHXv/6V9957j5deeon169fz+uuvE/5byf/8/HzOOOMMevXqxfLly5k7dy5ZWVmMGTPmiL4LkbqgkuMiInLc2f/Rx3jz83/fYRj+lfMArFbsrVtTvn2777ija1dKcnIwnU6/pp5i/205hnk9MPc+wKzhoAkYMPd+6HROvVRLnDNnji8pcDqdJCUlMWfOHCwHDQf95z9/X0csJSWFu+++m/fff597773Xt7+goMB3nSqDBg3iyy+/xOl0MmnSJKZOncqoUaMAeOONN/jmm2946623uOeee3zn2O12rrrqKiZPnszAgQOZPHkyV111FXa73e/adrudRx991Lfdtm1bfv75Zz788MNak5gVK1bw7rvvcsYZZ9R4fNOmTXz44Yd88803DBs2DIB27dr5jr/88sv06tWLJ5980rdv8uTJtGrVik2bNtGhQ4carytSH5Q0iYjIcSfnqaf8d1QlTGFhhHTrRumSJWAY2KIisQ0YQOnChQBU7N5N2ODBFM+fD1UL2VoshJ/ctwGjl3q1c1H1HiY/JhTurWzXdlCd337o0KFMmjQJgAMHDvDqq68yatQoli5dSps2bQD44IMPeOmll9i6dSvFxcVUVFQQGRnpd52IiAhWrlzpty/kt8ImW7dupby8nAEDBviO2e12+vXrx/r166vFNH78eE477TSefPJJPvroI37++WcqaljI+ZVXXmHy5Mns2rWL0tJS3G43PXv29Gvz66+/Eh4ejsfjwe12c8455/Dyyy/X+F2kp6djtVoZXEt1y19++YXvvvuuWnJY9YxKmqQhKWkSEZHjire8/PeE5xDN//kg5bt2VSZNXi8R553P/jf+S0i/fgS1b49zwQJc3377e7EIIPz88zDLyzEO+c27HKOKs+q23REKCwsjLS3Nt/3mm28SFRXFG2+8weOPP87PP//MlVdeyaOPPsqIESOIiori/fffZ+LEiX7XsVgsftf5M7p3706nTp24/PLL6dy5M926dSM9Pd2vzfvvv8/dd9/NxIkTOfXUU4mIiOC5555jyZIlfu06duzIp59+is1mo0WLFgQdVGTlUCE1Va88SHFxMeeddx7PPPNMtWNJSUmH/4AidUBJk4iIHFcOHVoHgM2Go1s3cl5+BcNaOQwqqF1byvftxZOZRen+PEqXLgXAEh6OabFgFhYCUDz7E1zjx+PQb7WPD+GJf9zmSNr9SYZhYLFYKC0tBWDRokW0adOGBx980NfmSKvipaamEhQUxMKFC329V+Xl5SxbtsxvTaODjR8/nptuusnXC3aohQsXctppp3HTTTf59m2toThKUFDQYSdz3bt3x+v1smDBAt/wvIP17t2bGTNmkJKSgs2mV1ZpXCoEISIixxVrdDSWyEhfmXEAKiooS0/Hs3cvFbt2AxDUrh3F8+ZjS0rytbXExeEtLcV60KT8yAtHK2E6nrQ5DSJbAEYtDQyIbFnZrh64XC4yMzPJzMxk/fr1/P3vf/f1qAC0b9+eXbt28f7777N161ZeeuklZs2aVe06pmn6rnPwx+v1EhYWxo033sg999zD3LlzWbduHddffz0lJSVce+21NcZ1/fXXk5OTw3W1FDxp3749y5cv56uvvmLTpk089NBDNVbjOxIpKSmMHTuW8ePHM3v2bLZv387333/vKy5x8803k5eXx+WXX86yZcvYunUrX331Fddccw0eT/2Xhxc5mJImERE5rnjdbuxt24LHgyUiorLIA1Suu3RQIlX882K8hYUkPvRP8HgwYmLw7t8PpokRHFzZyGol6eGHG+EppN5YrDCyarjXoYnTb9sjn66XIhAAc+fOJSkpiaSkJPr378+yZcv46KOPGDJkCFBZze6OO+7glltuoWfPnixatIiHHnqo2nUKCwt91zn4k52dDcDTTz/NRRddxNVXX03v3r3ZsmULX331FTExMTXGZbPZaNasWa09OjfccAMXXnghl156Kf3792f//v1+vU5Ha9KkSVx88cXcdNNNdOrUieuvvx7nb73FLVq0YOHChXg8HoYPH0737t25/fbbiY6O9iucIdIQDNM8tJxQ/SssLCQqKoqCgoJqExtFRET+DK/bzeZBp+MtKPDbb42Px3PQWjhAZSJlt2NLiKdi957f9/02p8nerh1pX3zeEGHLIer9XWHdp5VV9A4uChHZsjJh6nJ+3d9PRI5pGiAqIiLHFUtQEOFnnkHhzFngcEBZGQCe/furlx73esHloiLvwO/J0kFFIFI/n9PQ4UtD6XJ+ZVnxnYsqiz6EJ1YOyaunHiYRObYpaRIRkeNO2JAhlUnTbwkThgFeL0ZUFEaQHW9O7u+NbbbKdgclSwCRF1yAYdQ270WOCxZrvZQVF5Hjj5ImERE57hx4+3/+O4KCoLwcs6Cg+pKmNZQnj7rqKlr888Fq+0VE5MSkpElERI4bXrebzcNH4M3M9D/gclX+02qFw6i6lXTvPfUQnYiIHKuUNImIyHFjY89e1YbZ+amp9lFoKNaYGDx79/6+T8PyRETkIKrXKCIix42gU/rXftBiwdaiRfX9JSX+CROVa+CIiIhUUdIkIiLHjdTJk2k9ZTIdf0kncswl/ge9Xir27Al4fsgpp9BxxXIsQUH1GKWIiBxrlDSJiMhxJezUU7EEB9PyscdImTkDR58+tTe2WGh2260ABHfsSNKjE7CEhTVQpCIicqxQ0iQiIsetkC5daDv9HSL/8vtipUnPPUvnDevptHYNcddfT9Q555A8aRKOrl0JatmyEaMVEZGmSkmTiIgc91o+8wyJj/8LbDYyH5lA7luT2X7RxWCa2JOTsYSFUp6xL3ARCZET1NSpU4mOjvZtT5gwgZ49ezZaPCKNQUmTiIicEGIvvpi2n8zGsFgAE1t8PAVzv8R0uwnr1482U6ZgaC6T1LPMzEz+/ve/065dO4KDg2nVqhXnnXce8+bN87VJSUnhP//5T43n79ixA8MwfJ+4uDiGDx/OqlWrGugJRE5MSppEROSE4UhNxd6iBZ7cXEyXixYTJmBxOBo7LGkkHq+HZZnL+GLbFyzLXIbH+8dreP0ZO3bsoE+fPsyfP5/nnnuOX3/9lblz5zJ06FBuvvnmI7rWt99+S0ZGBl999RXFxcWMGjWK/Pz8+glcRJQ0iYjIiSXlww+Iv/NOgtq2xRIV1djhSCP5due3jJgxgvFfjee+H+9j/FfjGTFjBN/u/Lbe7nnTTTdhGAZLly7loosuokOHDnTt2pU777yTxYsXH9G14uLiaN68OX379uX5558nKyuLJUuW1Nr+s88+4+STT8bhcNCsWTNGjx7tO+Zyubj77rtp2bIlYWFh9O/fn++///5oH1PkuKSkSURETigWhwOL3U7SoxMI6dq1scORRvDtzm+58/s7ySrJ8tufXZLNnd/fWS+JU15eHnPnzuXmm28mrIYKjQfPGTpSISEhALjd7hqPf/7554wePZqzzz6bVatWMW/ePPr16+c7fsstt/Dzzz/z/vvvs3r1ai655BJGjhzJ5s2bjzomkeONrbEDEBEREWkoHq+Hp5c+jUn1BYxNTAwMnln6DENbDcVqsdbZfbds2YJpmnTq1KnOrgmQn5/Pv/71L8LDw/0SoYM98cQTXHbZZTz66KO+fSeddBIAu3btYsqUKezatYsWvy3+fPfddzN37lymTJnCk08+WafxihyrlDSJiIjICWNl9spqPUwHMzHJLMlkZfZKTm5+cp3d1zSrJ2l/xmmnnYbFYsHpdNKuXTs++OADEhMTa2ybnp7O9ddfX+OxX3/9FY/HQ4cOHfz2u1wu4uLi6jRmkWOZkiYRERE5YeSU5NRpu8PVvn17DMNgw4YNdXK9Dz74gC5duhAXF/eHQ/uqhu/VpLi4GKvVyooVK7Ba/XvWwsPD6yJUkeOC5jSJiIjICSM+NL5O2x2u2NhYRowYwSuvvILT6ax2/Egr37Vq1YrU1NTDmgvVo0cPv5LmB+vVqxcej4fs7GzS0tL8Ps2bNz+imESOZ+ppEhERkRNG74TeJIYmkl2SXeO8JgODxNBEeif0rvN7v/LKKwwYMIB+/frx2GOP0aNHDyoqKvjmm2+YNGkS69ev97Xdu3cv6enpfue3adPmqO77yCOPcOaZZ5Kamspll11GRUUFX3zxBffddx8dOnTgyiuv5K9//SsTJ06kV69e5OTkMG/ePHr06ME555zzZx5Z5LihniYRERE5YVgtVu7vdz9QmSAdrGr7vn731WkRiCrt2rVj5cqVDB06lLvuuotu3bpx1llnMW/ePCZNmuTX9vnnn6dXr15+n88///yo7jtkyBA++ugjPv30U3r27MkZZ5zB0qVLfcenTJnCX//6V+666y46duzIBRdcwLJly2jduvWfel6R44lh1vXMxMNQWFhIVFQUBQUFREZGNvTtRUREAnMVw8ROEBwBd63/4/ZS5+r7XeHbnd/y9NKn/YpCNA9tzn397mNYm2F1fj8RObZpeJ6IiMihsteBu6jyMyEKJhQ0dkRSx4a1GcbQVkNZmb2SnJIc4kPj6Z3Qu156mETk2KekSURE5FCt+oEjDsr2V24rcTouWS3WOi0rLiLHL81pEhERqcn92xo7AhERaSLU0yQiIlKbCQVQ4QbT09iRiIhII1LSJCIiEogtqLEjEBGRRqbheSIiIiIiIgEoaRIREREREQlASZOIiIiIiEgASppEREREREQCUNIkIiIiIodtx44dGIZBeno6AN9//z2GYZCfn9+ocYnUJyVNIiIiIg0kMzOTv//977Rr147g4GBatWrFeeedx7x583xtUlJSMAyD999/v9r5Xbt2xTAMpk6dWq29YRiEhYXRu3dvPvroo4Z4HJEThpImEREROSGZHg/OJUspmPM5ziVLMT31ux7Xjh076NOnD/Pnz+e5557j119/Ze7cuQwdOpSbb77Zr22rVq2YMmWK377FixeTmZlJWFhYtWs/9thjZGRksGrVKk4++WQuvfRSFi1aVK/PI3IiUdIkIiIiJ5zCr79my5nD2DV2LPvuvptdY8ey5cxhFH79db3d86abbsIwDJYuXcpFF11Ehw4d6Nq1K3feeSeLFy/2a3vllVeyYMECdu/e7ds3efJkrrzySmy26stsRkRE0Lx5czp06MArr7xCSEgIn332Wa2xrF27lnPPPZfIyEgiIiIYNGgQW7du9R1/88036dy5Mw6Hg06dOvHqq6/WwTcgcuxS0iQiIiInlMKvv2bvbbdTkZnpt78iK4u9t91eL4lTXl4ec+fO5eabb66xpyg6OtpvOzExkREjRjBt2jQASkpK+OCDDxg/fvwf3stms2G323G73TUe37t3L6effjrBwcHMnz+fFStWMH78eCoqKgCYPn06Dz/8ME888QTr16/nySef5KGHHvLFInIiqv6rChEREZHjlOnxkPXkU2CaNRw0wTDIevIpIs48E8NqrbP7btmyBdM06dSp02GfM378eO666y4efPBBPv74Y1JTU+nZs2fAc9xuNxMnTqSgoIAzzjijxjavvPIKUVFRvP/++9jtdgA6dOjgO/7II48wceJELrzwQgDatm3LunXreP311xk7duxhxy9yPFFPk4iIiJwwSpavqNbD5Mc0qcjMpGT5ijq9r1lTkvYHzjnnHIqLi/nhhx+YPHlywF6m++67j/DwcEJDQ3nmmWd4+umnOeecc2psm56ezqBBg3wJ08GcTidbt27l2muvJTw83Pd5/PHH/YbviZxojrinqbS0lBUrVhAbG0uXLl38jpWVlfHhhx/y17/+tc4CFBEREakrFTk5ddrucLVv3x7DMNiwYcNhn2Oz2bj66qt55JFHWLJkCbNmzaq17T333MO4ceMIDw8nMTERwzBqbRsSElLrseLiYgDeeOMN+vfv73fMWoc9byLHmiPqadq0aROdO3fm9NNPp3v37gwePJiMjAzf8YKCAq655po6D1JERESkLtji4+u03eGKjY1lxIgRvPLKKzidzmrHa1vjaPz48SxYsIC//OUvxMTE1Hr9Zs2akZaWRvPmzQMmTAA9evTgxx9/pLy8vNqxxMREWrRowbZt20hLS/P7tG3bNvBDihzHjihpuu++++jWrRvZ2dls3LiRiIgIBgwYwK5du+orPhEREZE6E9q3D7bmzaG2xMIwsDVvTmjfPnV+71deeQWPx0O/fv2YMWMGmzdvZv369bz00kuceuqpNZ7TuXNncnNzq5Uf/zNuueUWCgsLueyyy1i+fDmbN2/mf//7Hxs3bgTg0Ucf5amnnuKll15i06ZN/Prrr0yZMoV///vfdRaDyLHmiJKmRYsW8dRTT/l+m/HZZ58xYsQIBg0axLZt2+orRhEREZE6YVitJD7wj982DkmcfttOfOAfdVoEokq7du1YuXIlQ4cO5a677qJbt26cddZZzJs3j0mTJtV6XlxcXMAhdUcqLi6O+fPnU1xczODBg+nTpw9vvPGGb47Tddddx5tvvsmUKVN8I4umTp2qniY5oRnmEcxMjIyMZMmSJXTu3Nlv/y233MInn3zCu+++y5AhQ/D8weJwhYWFREVFUVBQQGRk5NFFLiIiIset+n5XKPz6a7KefMqvKISteXMSH/gHkcOH1/n9ROTYdkSFIDp16sTy5curJU0vv/wyAOeff37dRSYiIiJSTyKHDyfizDMrq+nl5GCLjye0b5966WESkWPfEQ3PGz16NO+9916Nx15++WUuv/zyoyqpKSIiItLQDKuVsP79iDr3HML691PCJCK1OqLheXVFw/NEREQkEL0riEhTcsTrNO3YsYNvvvkGt9vN4MGD6datW33EJSIiIiIi0iQcUdL03Xffce6551JaWlp5ss3G5MmTueqqq+olOBERERERkcZ2RHOaHnroIc466yz27t3L/v37uf7667n33nvrKzYREREREZFGd0RzmqKjo1m0aBFdunQBoKSkhMjISLKysoiLizvsm2qcsoiIiASidwURaUqOqKepsLCQZs2a+bZDQ0MJCQmhoKCgzgMTERERERFpCo64EMRXX31FVFSUb9vr9TJv3jzWrFnj26f1mkRERERE5HhxRMPzLJY/7pgyDAOPxxOwjbrcRUREJBC9K/x5EyZMYPbs2aSnpzd2KCLHvCManuf1ev/w80cJk4iIiMiJaty4cRiGUe0zcuTIP3VdwzCYPXt23QTZAFJSUvjPf/7T2GGIHLYjHp4XiNfr5YsvvuDcc8+ty8uKiIiI1Dmv1yRjcz7OQhdhkcEktY/GYjHq/b4jR45kypQpfvuCg4NrbFteXo7dbq/3mKq43W6CgoIa7H4ix4oj6mmqzZYtW3jggQdITk5m9OjRdXFJERERkXqzdVU2bz+wiNkvrOKbt9Yx+4VVvP3AIrauyq73ewcHB9O8eXO/T0xMDFDZYzRp0iTOP/98wsLCePzxx0lLS+P555/3u0Z6ejqGYbBlyxZSUlIAGD16NIZh+Lar/O9//yMlJYWoqCguu+wyioqKfMeGDBnCLbfcwu23306zZs0YMWIEAAsWLKBfv34EBweTlJTE/fffT0VFhe88r9fLs88+S1paGsHBwbRu3ZonnngCgDPOOINbbrnFL4acnByCgoKYN28eQ4YMYefOndxxxx2+nrYqP/30E4MGDSIkJIRWrVpx66234nQ6/9wXLlIHjjppKi0t5e233+b000+nY8eOLFq0iIcffpg9e/bUZXwiIiLSBI2ePZp31r/T2GEcla2rspn7+hqc+S6//c58F3NfX9MgiVMgEyZMYPTo0fz6669ce+21jB8/vlrP1JQpUzj99NNJS0tj2bJlvn0ZGRm+bYCtW7cye/Zs5syZw5w5c1iwYAFPP/2037WmTZtGUFAQCxcu5LXXXmPv3r2cffbZnHzyyfzyyy9MmjSJt956i8cff9x3zj/+8Q+efvppHnroIdatW8e7775LYmIiANdddx3vvvsuLtfv3+8777xDy5YtOeOMM5g5cybJyck89thjZGRkkJGR4Yt15MiRXHTRRaxevZoPPviAn376qVoCJtIYjqgQBMCyZct48803ef/990lNTeXKK6/kvvvuY/Xq1b71m/6IJneKiIgcG7yml5ySHK7/6nr2Offh8vonGr+O/bVe7ltf7wper8nbDyyqljAdLDwmmKufOK1ehuqNGzeOd955B4fD4bf/gQce4IEHHsAwDG6//XZeeOEF37F9+/bRunVrFi1aRL9+/SgvL6dFixY8//zzjB07FqjsoZo1axYXXHCB77wJEybw3HPPkZmZSUREBAD33nsvP/zwA4sXLwYqe5oKCwtZuXKl77wHH3yQGTNmsH79el8v0Kuvvsp9991HQUEBTqeT+Ph4Xn75Za677rpqz1hWVkaLFi147bXXGDNmDAAnnXQSF154IY888ghQOafp9ttv5/bbb/edd91112G1Wnn99dd9+3766ScGDx6M0+ms9p2JNKQjmtPUo0cPCgsLueKKK1i0aBFdu3YF4P7776+X4ERERKTuLM9cTnRwNGkxabW2ySnJoaSihMTQRM788EyKyoswqfn3q+e0Oae+Qq03GZvzAyZMAMUHXGRszqdlx5h6iWHo0KFMmjTJb19sbKzv5759+/oda9GiBeeccw6TJ0+mX79+fPbZZ7hcLi655JI/vFdKSoovYQJISkoiO9u/J61Pnz5+2+vXr+fUU0/1GzY3YMAAiouL2bNnD5mZmbhcLs4888wa7+lwOLj66quZPHkyY8aMYeXKlaxZs4ZPP/00YKy//PILq1evZvr06b59pmni9XrZvn07nTt3/sPnFakvR5Q0bdy4kUsvvZShQ4cedq+SiIiINJ7HFz/Omow1RFmiWJq/lNNansazg5/lu13fcVabs3h66dO4PW4W7FlAckQyrSNbszp7NUGWIArLCwNe++khTwc83hQ5CwMnTEfa7miEhYWRllZ74hoWFlZt33XXXcfVV1/NCy+8wJQpU7j00ksJDQ39w3sdWkTCMAy8Xu8f3i+QkJCQP2xz3XXX0bNnT/bs2cOUKVM444wzaNOmTcBziouLueGGG7j11lurHWvduvURxShS144oadq2bRtTp07lxhtvpLS0lMsvv5wrr7zS7zcRIiIi0nQs3LOQPc7f5xv/sPcHrpl7Devz1vPZ1s9YlLHId8woNrir712szV2Lh8BLiIRY//jFuSkKi6y5St3RtmsoZ599NmFhYUyaNIm5c+fyww8/+B232+11tuxL586dmTFjBqZp+t7xFi5cSEREBMnJySQkJBASEsK8efNqHJ4H0L17d/r27csbb7zBu+++y8svv+x3PCgoqFq8vXv3Zt26dQETSpHGckSFIFq2bMmDDz7Ili1b+N///kdmZiYDBgygoqKCqVOnsmnTpvqKU0RERI7CDSfd4LfdIqQFV3e+mv874/8Y2XYknWI6YcHCc4Oe48fLfuTBnx5kUPIgZv5lJnZqLnX9l3Z/4anTn2qI8OtcUvtowqIDJ0ThMZXlx+uLy+UiMzPT75ObmxvwHKvVyrhx4/jHP/5B+/btOfXUU/2Op6SkMG/ePDIzMzlw4MCfiu+mm25i9+7d/P3vf2fDhg188sknPPLII9x5551YLBYcDgf33Xcf9957L2+//TZbt25l8eLFvPXWW37Xue6663j66acxTbNadeWUlBR++OEH9u7d63v2++67j0WLFnHLLbeQnp7O5s2b+eSTT1QIQpqEo16n6YwzzuCMM86goKCA6dOnM3nyZJ5//nm6devG6tWr6zJGEREROUoXtL+AC9pfUOvx0e39X2b/74z/IyE0gWBrMPFh8eQ6c3Hj9h0f2moojw96/NDLHDMsFoNBl7Zn7utram0zcEz7el2vae7cuSQlJfnt69ixIxs2bAh43rXXXsuTTz7JNddcU+3YxIkTufPOO3njjTdo2bIlO3bsOOr4WrZsyRdffME999zDSSedRGxsLNdeey3//Oc/fW0eeughbDYbDz/8MPv27SMpKYm//e1vfte5/PLLuf3227n88surFXF47LHHuOGGG0hNTcXlcmGaJj169GDBggU8+OCDDBo0CNM0SU1N5dJLLz3qZxGpK0dcPS+Q9PR0Jk+ezEsvvRSwnarniYiINH0zN89kZdZKOsZ0JMIewSktTyExNLFBhuXX97vC1lXZ/PjBZr+iEOExwQwc057UXgl1fr+68OOPP3LmmWeye/duX3nvpmzHjh2kpqaybNkyevfu3djhiPwpdZo0HS4lTSIiIhJIQ7wreL1mZTW9QhdhkZVD8uqzh+louVwucnJyGDt2LM2bN/erLtcUlZeXs3//fu6++262b9/OwoULGzskkT/tiIbnnXHGGX/YxjAM5s2bd9QBiYiIiDQEi8Wot7Lidem9997j2muvpWfPnrz99tuNHc4fWrhwIUOHDqVDhw58/PHHjR2OSJ04op4mi8VCmzZtOOecc6qVsDzYwQuy1UQ9TSIiIhKI3hVEpCk5op6mZ555hilTpvDRRx9x5ZVXMn78eLp161ZfsYmIiIiIiDS6Iyo5fs8997Bu3Tpmz55NUVERAwYMoF+/frz22msUFgZeAE9ERERERORY9KcKQZSUlPDRRx/xyiuvsG7dOvbt23dYXejqchcREZFA9K4gIk3JEfU0HWrlypUsWLCA9evX061bt4DznOTEsnfjAZZ9vh2vtwKPp7SxwxEREREROWpHvLjtvn37mDp1KlOnTqWwsJCrrrqKJUuW0KVLl/qIT5qo4uLNBAcnYLdHAbB5yzOAidO5lZYtLiMvJ57s7GX88OP/YbWGMWhgZbnRA/nLiIrshcXy+x+9/KwSDKuXqGbhAe9ZUVGEzRbh2y4vL/DdX0RERESkvhxR0nT22Wfz3XffMXz4cJ577jnOOeccbLYjzrvkGOTxlJCR+SktW4yhvDyfJUtHYrVG0rv3dPbvX8Du3dMwzXLApLBgNV6zAkebfDwe8HjK2bTpKbymi717/0eQPYHwiO4UFaVjt8dRlJePJSiP2LjTKCnZhM0WS/v2D5CVOYvQ0HYkJ1/Fzp3/ZcfOV7DZojml/5fs3PUmu3e/Rc+TphAXd3pjfz0iIiIichw74pLjSUlJJCQkBFwNfOXKlQGvc6KMU87ZVUSzVuENsnL6n1VeXojHU4zD0QKv1w1Y2L17MgcOLMViceAs2UZJyUbCw7vj9ZZTUrKBypy7ok7ub7XG4/Hk1HDEBnh/+1RnGMGEh3fC5dpHaGgq5e4DJCWNJj5+GKGhbeskNhERaXgnyruCHHt27NhB27ZtWbVqFT179mzscBrchAkTmD17Nunp6XV2zalTp3L77beTn5/foPc9EkfUTfTwww8fEwlAfdu76QDlLg8p3ZtVO7ZnQx471uRisVhZ9fVO7CEWOp/agn7ntcUebGuSK42XlOxgx45J7M9bANhxu/cBwYCrWtvi4l8P2qqbhAmoJWH643uYpouiol8AcLsrr7Fl69Ns3/Ey3bv/l+3bn6dTx8cJD+9YZ7GKiIgcjXHjxjFt2jRuuOEGXnvtNb9jN998M6+++ipjx45l6tSpjRPgUWgKCcT333/P0KFDazyWkZFB8+bNj/ra48aNIz8/n9mzZx/1NeqLYRjMmjWLCy64oLFDaZLq+s/mESVNEyZM+NM3PB5sWpJJSVF5jUnTsi+2s29TAQDBYVZcTg+r5+9hzQ97CY8OxhZkpX2/RPqOTGngqKvzesuxWOysXHU1hmH1JR2VqidMxxKPp5j09CuxWsNZu/Zu2qXeQVzsICyWymIl5eWF2GxhGIa1kSMVEZHG4vV62Lt+LcX5BwiPjqFl565YLPX790KrVq14//33eeGFFwgJCQGgrKyMd999l9atW9frvY9lhmGwfft2UlJSam2zcePGar2SCQkJNbZ1u90EBQXVZYhynDui6nkxMTHExsZW+7Rt25YRI0bwzTff1FecjaKk0A3AgUwnX77+K3s27gdg6NWdOf2yDmxdmY3X42XHr7n88N5GypzlNGsVQUhE5Yt5ap/f/4/qrTApzC0jb5+TJbO38crf5vPTx5tYNHMLpcXueonf7d6Px+PC43GxctV1rF33DwA2bnyU777vxnffd2fxkvNxuTIpK9vNnyymeJC6us6fZeDxFFHsXMfq1dezecvTbN36bwoKfuHnxWeyffur5OUtYtWqsWRkzG7sYEVEpAFtXrKIN26+lg8fe4AvXnqODx97gDduvpbNSxbV63179+5Nq1atmDlzpm/fzJkzad26Nb169fJr63K5uPXWW0lISMDhcDBw4ECWLVvmO/79999jGAbz5s2jb9++hIaGctppp7Fx40a/60yaNInU1FSCgoLo2LEj//vf//yO5+fnc8MNN5CYmIjD4aBbt27MmTMHp9NJZGQkH3/8sV/72bNnExYWRlFREW3bVg6F79WrF4ZhMGTIEF+7N998k86dO+NwOOjUqROvvvqq75jb7eaWW24hKSkJh8NBmzZteOqpp47uS/1NQkICzZs39/tYLJXvJOPGjeOCCy7giSeeoEWLFnTs2JHHHnuMbt26VbtOz549eeihh5gwYQLTpk3jk08+wTAMDMPg+++/97Xbtm0bQ4cOJTQ0lJNOOomff/7Z7zozZsyga9euBAcHk5KSwsSJE/2Ou1wu7rvvPlq1akVwcDBpaWm89dZbmKZJWloazz//vF/79PR0DMNgy5YtvuRx9OjRGIbhl0x+8skn9O7dG4fDQbt27Xj00UepqKgcuWOaJhMmTKB169YEBwfTokULbr311oDf69NPP01iYiIRERFce+21lJWV+R33er089thjJCcnExwcTM+ePZk7d67veNWf04OH3lU9y44dO/yuNXv2bNq3b4/D4WDEiBHs3r07YGyB/owF+rN5NI6op+k///lPjfvz8/NZsWIF5557Lh9//DHnnXfenwqqIXm9Jiu+3EHXQS0Jjaz8jcOmZZlsWZ7N9tW5JLSNID+zBHeJh22rcggKsTLo0g4s+WQbxQdc9B7ZhqxtBeTsKqKspJxt6Tn85bZeLP5sG+t+yAh471++3YNhgQ79mhMSHoTpNTEsBq7SChbN2EK/89oSFhVc6/keTwkLFw2hc6cniAgdgiPMzo6dr2NgIzvnC8rL87HboygsXA2YGIYNp3MzRUWrALBaI3E61x78bfzZr/M3NqB+EsEj4z9db8+eaYDJjp2vALBr938xLDeSX7CSvAM/sWv3FE7qMQmHo0UjxCoiIg1l85JFfPrvJ6vtL87L5dN/P8n5dz5A+/6n1dv9x48fz5QpU7jyyisBmDx5Mtdcc43fCznAvffey4wZM5g2bRpt2rTh2WefZcSIEWzZsoXY2FhfuwcffJCJEycSHx/P3/72N8aPH8/ChZVVa2fNmsVtt93Gf/7zH4YNG8acOXO45pprSE5OZujQoXi9XkaNGkVRURHvvPMOqamprFu3DqvVSlhYGJdddhlTpkzh4osv9t2vajsiIoKlS5fSr18/vv32W7p27errvZk+fToPP/wwL7/8Mr169WLVqlX/n737Do+qSh84/r3TJzOZ9E4KkARC772DK/YuVkTAjv5cFV3XVRFdK9bVVdcS7L1hQwFBpEgPvYYSAul9Uqbe3x9DBoYUikAo7+d58pC599xzz71MkvvOOec93HTTTVgsFm644QZeeeUVZsyYweeff05SUhK7d+8+5APyXzVnzhxsNpv/Q/6QkBAee+wxli1bRu/evQFYtWoVa9as4euvvyY6OpqNGzdSWVlJZmYmAOHh4ezdu9d/36dNm0ZaWhoPPfQQV199Ndu2bUOn07FixQquvPJKpkyZwpgxY1i0aBG33347ERERjBs3DoCxY8eyePFiXnnlFbp27cqOHTsoLi5GURT/e+S+++4LuO9DhgwhNTWVZcuWER0dTWZmJqNHj0ar9fWQ/vHHH4wdO5ZXXnmFwYMHk52dzc033wzAo48+yldffcWLL77Ip59+SseOHcnPz2f16tVN3rPPP/+cKVOm8NprrzFo0CA++OADXnnlFdq0aeMv8/LLL/P888/z5ptv0r17d959910uvPBC1q9fT1pa2mH//9TU1PDvf/+b999/H4PBwO23385VV13lfy8f7FDvsabem0friIKmG264odn93bp146mnnjppgqaq0lrmf7KZ4Cgzmxblo3pVdAYN597ahbjUUP74fAvbVhRSU+HEXlbH8OsyqKt2Mue9DXj3TaUp3F7lr0+jBWethy1LCxhwaVvmf7aVNl0j8bi8FOdWsXVZIQBfT2s+EcaBtHoNtXYnedvK+eG1NYy4vj1r5+2hOLeKriMSsYQY8Xq8bF6ST2qvGJy1bkwWPV6PilZvIjn5ZpyVbXnnkT+4/IHu7N37KV6vC6/qwuOpJjn5FlyuCl5cPIw+cSvpEbMK0BEW1peyssbfhPtpODCQshekYbCUYLBW09jwPUUxoap1aBQjXtXL/vlIWsBz2PekaQYOFYwZDMk4nbv2vWosx4kGUNFqbSS2up6goLb7El9ATc1Wampzjzpo8nhqAA1aremojhdCCHH8eb0efpv+v2bLzH3vf7Tt3fe4DdW77rrrePDBB9m1y/f3auHChXz66acBQVN1dTWvv/4606dP55xzzgHgrbfeYtasWbzzzjtMnjzZX/bf//43Q4cOBeAf//gH5513HnV1dZhMJqZNm8a4ceO4/fbbAbjnnnv4888/mTZtGsOHD2f27NksXbqUjRs3kp6eDhDwQDxx4kQGDBhAXl4ecXFxFBYW8tNPPzF79mwAoqKiAIiIiAiYO/Too4/y/PPPc+mllwK+T/03bNjAm2++yQ033EBOTg5paWkMGjQIRVFITk7+y/e1VatWAa+Tk5NZv37/h8MWi4W333474OH57LPPJjMz0x80ZWZmMnToUP89MJvNOByORudF3XfffZx33nkAPPbYY3Ts2JFt27bRvn17XnjhBUaOHMnDDz8MQHp6Ohs2bOC5555j3LhxbNmyhc8//5xZs2YxatQoIPC+jxs3jkceecT/4O9yufj444/9vU/19z00NDSgbY899hj/+Mc//M/sbdq04fHHH+f+++/n0UcfJScnh9jYWEaNGoVerycpKYk+ffo0eU9feuklJkyYwIQJEwB44oknmD17dkBv07Rp03jggQe46qqrAHjmmWeYO3cuL730Eq+99lqTdR/M5XLx6quv0rdvXwDee+89MjIy/PfgYId6jzX13jxax3Qc1fnnn8+mTZuOZZVHzF5Wx4xXVvHOfb/z/j8Xs3NtKWt/24OrzoPXq6LRKHjcvkDA7fRgDTNyyX3dGXh5GsW5dt65d4E/YDqQokBarxja9Ihiz6Yylny/A2u4kZyNpSR1DMNRc4igQAc1I6AAAHiaSURBVAG9UeP/nn35INwOLzNeyuLraSvxuDzMeX8jab2jcdS4Wf2b7xOX/O2V/Pb+Jn5+cy2fPr6EVb/u4v2HFrHmt1xaxY1n2xIXAy9PIzIxhAED5tK799e0S38cnc5KRPgQBvSfwwUdKugctRHQYLW2x+Us2dew5v4g+O6TThcKQMn6iyjfPoym5jtVOYN8R6lVBCZwOBYBExxO79X+gOlA9b11vt42UPF4qqmoWMG6dXdQ31av18GmTQ9SUvI7VVUbcburcbt9QbOqevF4HNTV7W3y3GvW3s6GjZNRVRWHo6nEFkIIIVrSno3rsZcWN1umqqSYPRvXN1vmr4iKiuK8885j+vTpZGZmct555xEZGThPOjs7G5fLxcCBA/3b9Ho9ffr0YePGjQFlu3Tp4v8+Li4OgMJC3we5GzduDKgDYODAgf46srKyaNWqlT9gOlifPn3o2LEj7733HgAffvghycnJDBnS9HIf1dXVZGdnM2HCBKxWq//riSeeIDs7G/AFBVlZWbRr14677rqLX3/9NaCOc845J+BYgI4dO/pfd+zYscF5//jjD7KysvxfP/30U8D+zp07N+htuOmmm/jkk0+oq6vD6XTy8ccfM378+Cav7UBHc9+3bt2Kx+MhKysLrVbrD3YPFh8fz3nnnce7774LwPfff4/D4eCKK65otk2rV69m6tSpAffupptuIi8vj5qaGq644gpqa2tp06YNN910E998841/6F5jNm7c6A9i6vXv39//fWVlJXv37m32PXa4dDqdP3gFaN++PaGhoY3WczjvsWPtmC6y5HA4WnxSXV52Bbs3lPlfB4XrSO0eS9eRidjCzQFlh1+X4f++oqiGz/69tEF9aX2iiYi3snFRHluWFtBlRCL9L21DUY4dt9PD0hk7DtkmvVGDx6PidnnpOCSObasKcVQ1DCQ8bhWvx8OqWbswWrTsXFvEH59rSO4UgcGkpaq4lv6XpJLSORKnw0NYbBBul4e87ApCY4PY/Gc+HQbGs3LVdQQHd6Vd+uMYjdEUF8+lY/RegsxXUlT8M7bgDiiKAXv1Jg4noHG7y1EUE4lDX0DReAkKSiU4uCslJfNxu/cHB1Z96SHrahm+IM/XE1YfeLkpK/8TUNHpwrEFd6GsfDFer5PNW56gtnY7RmMCDsde2ra9n+3bXyY6+myKi2czbOgadux8DbergrS0f/rP0rbtfWgUPfn537Bx0z8ZMngFiqJDUTT+BBRCCCFalr287NCFjqDc0Ro/fjyTJk0COKJP4xuj1+//G1Of5djrPbwh9/XJKJozceJEXnvtNf7xj3+QmZnJjTfe2Gw2ZbvdDvh6xg5+4K4fRtajRw927NjBzz//zOzZs7nyyisZNWqUf/7U22+/TW1trf+4tLQ0fvrpJxISEoDAa67XunVrQkNDm2yXxWJpsO2CCy7AaDTyzTffYDAYcLlcAUMRm3Mi7vv111/Piy++SGZmJmPGjCEoKKjZY+x2O4899pi/9+VAJpOJxMRENm/ezOzZs5k1axa33347zz33HL///nuj9/RYqJ9XduAqRy6X6y/VeTjvsWPtmPY0vfPOOy2er751l/2f1CgauOaR/gy+Ir1BwHSwz59c1mA0V5vukdRVudDptXQe1or49mF0HBxHVUkdW5YXsD2rmU+qlP1tcDm8eN0qOoOWumqPL2Bq4neNqkJFYR2Oag+KRiFnfSkmix6tXoMlxMi25QUE2Qzs3lBK7sYyjEF6rnq4D/YyBzvX+NqT2nYyRUU/sXbdrVRUrCQv/2sqK9exN+8jvF4HlZWr2bP3k4PO3PwbzGCIQKNV0els1NRso6DgK9zuIqKjL6D+bVTfI9VUvTpdWLPnOD72/wJQ1Toam7fl8VRTWjYPVXXgcOyltnY7AA7HHkAlO/sZgsyJmE1JeDzVZK2+iWr7LnJ2Z7J12zR25/om1NqCO7Fr11ts2jwFVfXwx4I+LFg4gI2b/tngnEIIIVqGNfTw/hYdbrmjNXr0aJxOJy6Xi7PPPrvB/vrEDQfO53C5XCxbtowOHToc9nkyMjIazAlZuHChv44uXbqQm5vLli1bmqzjuuuuY9euXbzyyits2LAhYLpG/YflHs/+D2FjYmKIj49n+/btpKamBnzVT84HsNlsjBkzhrfeeovPPvuMr776itJS3wewCQkJAceBb7hd/etjMZwPfL0bN9xwA5mZmWRmZnLVVVcFBDQGgyHg2g5XU/c9PT0drVZL586d8Xq9/P77703Wce6552KxWHj99deZOXNmgx4wvV7foG09evRg8+bNDe57amqqP3gxm81ccMEFvPLKK8ybN4/Fixezdu1aGpORkcGSJUsCtv3555/+7202G/Hx8c2+x+qHyeXl7Z/r39haS263m+XLl/tfb968mfLycjIyMhqUPZz3WGPvzb/iiHqa7rnnnka3V1RUsHLlSrZs2cL8+fOPScOOls6gJWNADBsXFaB64fMnlnH9E81P5sx8YAHO2v03NKlDOMERJjoOSaCmwsn6BXvofV4Kf36XzcdTGvZGNcYQpMVZ7UGtf0ZXQPV4yV7h67ZtdLrNAWLTQijaWcV1z/dHZ9Ay/rnBVJXWoXp9B5blVRMe7/vEpKKohqzZOQy63k6dI5qoqLPo2eNTtmx9gu3bX8ZevZHoqNE4HHnEx19Nbu7HNOxhav4N5XDsQaOx4fFU+i5m3wXU1u5EozEQFJSK3b6ukSP31+t2H/2ndopiOKCX6GAHryllBJxERo6muPjn+hpoeNN9r1X10OnVq2uyceV9CkBJyW/Uz/fKzX0fozGS8vKlREaeRUnpQrzeagC83jq8Xjf5+d+SnDRR1ooSQoiTQEJGR6zhkc0O0QuOiCQho+Hwr2NJq9X6hx019sm4xWLhtttuY/LkyYSHh5OUlMSzzz5LTU2Nf37J4Zg8eTJXXnkl3bt3Z9SoUXz//fd8/fXX/jlJQ4cOZciQIVx22WW88MILpKamsmnTJhRFYfTo0YAve/Kll17K5MmT+dvf/hYwdyg6Ohqz2czMmTNp1aoVJpPJn2DhrrvuIiQkhNGjR+NwOFi+fDllZWXcc889vPDCC8TFxdG9e3c0Gg1ffPEFsbGxzfYUHUphYWGDzG4RERGH7EGZOHGi/8H84If/lJQUfvnlFzZv3kxERAQhISGH1ZZ7772X3r178/jjjzNmzBgWL17Mq6++6s/ulpKSwg033MD48eP9iSB27dpFYWEhV155JeB7X4wbN44HH3yQtLS0gGFx9XXMmTOHgQMHYjQaCQsL45FHHuH8888nKSmJyy+/HI1Gw+rVq1m3bh1PPPEE06dPx+Px0LdvX4KCgvjwww8xm81NBqH/93//x7hx4+jVqxcDBw7ko48+Yv369QHzryZPnsyjjz5K27Zt6datG5mZmWRlZfHRRx8BkJqaSmJiIlOmTOHf//43W7ZsaZBJEHxB4J133skrr7yCTqdj0qRJ9OvXr8k5V4d6jzX13jxaR9TTtGrVqka/iouLOeuss1i3bh09e/Y86sYcKyPGduSON0bQbVQiAy9ry3sPLuTH/67mx9fXBJQrL6jhp/9mUVu1/2HcGm6kYFcV2asK2fDHXnI2FLMjq5ivnl2B23GY2eUUcFZ7yBgYR2SiL7AJiw3Cq6r+HqbkLr6sN0ZL43FrwfYKEtJDqa5wkpftW/cpONyELdL36Ud8ehgxKTbcLg+2SDNnT+xAqWMq2dueY/2GyVRXb6Gqaj11jjxcrjIKi37F6Spj/YY7qa07eEhh428DRfH9kgkNHYBGE4ROV98lXB98KDgc+Xi9bmprffOvjMbUw7tHAXQ02fVWf8YmAyZoOMfKAagHBExwyCj1kLw4nSVotSGAgsEQTXBwT1TVSUz0BXg8NWzd+jguV+FBx7kBL2vW3kl19ba/2IYzx5q1tzHnt7b+r9LSw/uwQgghDkWj0TJi3M3Nlhl+w83Hfb0m8H1Kf/C6Qgd6+umnueyyy7j++uvp0aMH27Zt45dffiEs7PB7wS6++GJefvllpk2bRseOHXnzzTfJzMwMSL/81Vdf0bt3b66++mo6dOjA/fff3+DT+QkTJuB0Ohv0duh0Ol555RXefPNN4uPjueiiiwBfIPL222+TmZlJ586dGTp0KNOnT/f3AgQHB/Pss8/Sq1cvevfuzc6dO/npp5/8vSFHo127dsTFxQV8rVix4pDHpaWlMWDAANq3b99gqNdNN91Eu3bt6NWrF1FRUU1mcjtYjx49+Pzzz/n000/p1KkTjzzyCFOnTvVnzgNfKvjLL7+c22+/nfbt23PTTTdRXV0dUE/9fb/xxhsbnOP5559n1qxZJCYm+tPVn3322fzwww/8+uuv9O7dm379+vHiiy/6g6LQ0FDeeustBg4cSJcuXZg9ezbff/89ERERjV7HmDFjePjhh7n//vvp2bMnu3bt4rbbbgsoc9ddd3HPPfdw77330rlzZ2bOnMmMGTP8mfP0ej2ffPIJmzZtokuXLjzzzDM88cQTDc4VFBTEAw88wDXXXMPAgQOxWq189tlnTd7jQ73HmnpvHi1FPXCA4QlSWVlJSEgIFRUVzf6yOFZW/7abxd9k43F5ueONEf7tHz/2J2V5NQCYgnWkdIpk79ZywuMs5O+owFnrQWfQBPRCNcVs01Nb6QIFIhOtFO+206pdGAU7KvB4VFCh5znJhMUEMef9jZgsBs6e2JG41FCW/7SDDQvzqKlwoDEouGq8aA0agiOMVJU4MBh9PU0Hy99ewTfPr+TqR/oSGhOE1+tg+/ZX2JXzBh0ynicsrB+bNz9Mcck86oelGQwJxMVdwq5dbwL140kPzG6nw2iMxWrNoKJiJR5PJVZrO2pqduDx1AEqGo15X2+Kr/dGr4/A5Srh6Bw6I56PCaijYa/SgRrrTToyGo0Vr9d+WGV1utB9vUlOzOYU/7A+0KPTmdHro6mtrQ+UNJhMrTAYQokIH4HN1gmPpxq9IYayUt9aZ3/lD8XpZMXK6ykvD1wnZdDAJRiNDReTFkKcvo73s8LWJYv4bfr/AnqcgiMiGX7Dzcc13fip6oMPPuDvf/87e/fubfH568eaqqqkpaVx++23NzmqqqX88ccfjBw5kt27dxMTE9PSzTmjHdNEECerriMSCY0xU1Hgm1D469vrcNS5Kc+v8Zdx1ngwh/jmDqmqSp3dl0mkuYBp9M0dCY4wY7LosUWaKcuvpmBnJTtXFzPgkrZsWVpAdbmJkeM6YLbqWb9gD7++s4Egm54+F7YmKjkYgPB4Kzq9QkzrEIpzq0ABj9NLeV4teqOGtN4xbFmaj1anIaljBHqj79OviAQrQ65KJzjSl+JaozHStu295Ox+ly1bH2fokBV07foWc+d19QcCZnMSu3e/i0ajxev14Aum6q/RhE4XjMORh8ORi+/t4UbBiNfrIDx8CKWlc/cFTPVBDGg0wUANUD9hU4MvgDmcMaQHB0wHBz71QZXvXIqioekwf38P2IF1KEowqmrncAKqQwdM++t2u8sBMJnaotfbqK3V4btmBZ0ujNCQrmg0Jqqr1wFe6upycLurqKx8hfDwIZSVLUBRQvh93rnceOONx2x89qnObt8Q8HpA//kSMAkhjrm0vgNo27uvL5teeRnW0DASMjqekB6mU0lNTQ15eXk8/fTT3HLLLaddwFRUVMSnn35Kfn5+o705LcXhcFBUVMSUKVO44oorJGA6CZwRPU0HW/nLLlwON2vm7iG1VxTFu+0U7qxq9hitTkGrVwiOMOOq9dCmRxQ1FU5skWb6Xrh/XOcPr62morCWyyb3xGQNHENbVVrH3q1lbF6Sj1arUFni4OpH+pK3rZylP+wgKimYDQv2ktormvXz92KLNnLpvb3YuaaYeR/5Vvc+a3wH0vs0n2u+ri4Pl6uU4GDfeOwlSy/yzzfSacOwWFPxuKuwV2/GFwBoUBQtquriwJ4fjSYYr7f+vmgBL1qtFY/Ht803z8i7r46mAySvW4ui9e1X8CW7UE6pThVl3/1pPCVndNQFlFcsw+ksYH9gFrjG1cFCbH2oc+zdF5xG0bbNDZSXp6NoNtK1y6RjfQGnlLq6vbjdNVitRzPUUwhxumjpZwXhUz8PZciQIXz33Xf+9N+nC0VRiIyM5OWXX+aaa65p6eb4TZ8+nQkTJtCtWzdmzJjhzxooWs4ZGTQdyFnr5p17/8AaYaCyqPFhX8ldwomItxIaY+HPb7O56l99MAcb2LBwL2arntZdfVlBFnyxldzNpfS7sC0pXZr+ZPzraSsIi7XQumskKZ0Dy+XvqODH19ZgDTdSXliNu87336PRK6T1jKHXuSmERjefbvJgv83NwGJJxeWqwOHYQ0hIX9qlP8bSZaP3lTAAbjQaC6huvKoDnc6Kx1O3L1DwAkYUxdNk4LBfw2DB6zagaJ3UZydVVTg4U6lWG4rHU4lOa8PtKT9gj579wwhPPlptKL55S5p9STKaYiYsrDtGYzz5+V/Sts197N79Hk5Xfcp2DXv2dCQ8fAcR4bFYg9PxuGuIi7+CmOjRzdQrhBCnp5PpWUEIIc7ooElVVVbM3MnS73fsz3J3AK0ObnpxGHu3lfPT62u4/okBBNma7pbeuaYYZ537kD1B4Jtnlb+9grMndgKgYEclszLXY7LoKSuoxtnEYrl9L2xN978lo9UdfldNVtZ4dLoQCgpnAGAytqbO0fj6UopiALx07PgSQeYUli67gKaGtem0Ibg9FYfVBo/ThN7kyyhXP+yv4bl1+4Kyxvc37eQNrDQaMxqNidS295O9fRoWSxrl5X+i00XidhcTFzcGgLy8z/YFkxr2X78XszmZnj0/p6pyHZGRw1rwSoQQ4sQ6WZ4VhBACzpA5TU3xuL2s+HlXowETClz/74Gs/T2XzsNb0e+ituxcU0xIlJmEdo1nrWmud+lAFUW1bFi4N2BNqe2ri6gorKWC2mYTyS2ZsYMlM3ZgsujoOjKRmNY2IlsFYw5uOphLS3uILVuf9L9uPGDy9RB16fxfcvd8wpYtTxAUlITJlEhdXc5BZX3zmXwBU3PD0PYHP1pDHV6vAd/FuTEYEnA69xxQVjmgF6v5gEmvj8LlKsU3JFBDTMxFFBR82eT5NYoVr1o/V+lokkUcmCjjcPnO7UsUUYuqunC5SigvLwG0uN3FgEJC/JWUV6zAbG5Dbe12DIZITKYEKitLqba3ITmpCwsW9PXXqdWGk5IygZTkiUfYHiGEEEIIcbROqZklx5pOr+Xsmzo12D5yXAZX/asPFUW1LJmxndpKJ6V77WxbUcDPbza++NeR0OoUwmIsdB2Z6N/W/+K2jJ82kJSukUQl+sYL18/7iU8PbVBHXbWbJTN2MOPl1bz34CJczqYf6t3uSlzOon29SIGCg7thMqVQH/isWTuJkpI5OJ1F1Nbu3rdgrRatxpe0QqPZnwDCp/GAKTx8OPvfXgqhof3xBUO+gMUXMNXv13BwIKPTRTdab3BwV7xeB+BBqw0GvBQWfttIyf0BW33A5EuhfjQdq4cXMFmtXfzfK4oWnS4EvT4cozGeuLjLSWx1EwBxcVeQlHgren0k+QXfsmfPR9iCO6HXR2KxpGEJaotBb2bnrhhydr9xwBnceDyFZGc/xZzfOlBUNPsorkUIIYQQQhypM3p4HsCu9SX88J/VAPS/pA0ZA+IDem1UVUXZNwHH4/HiqHY3O0TvWMndXMZ3L67CYNb6M/jpjRpc/rWi9meKi0oOJjrZxoBL22IwNd15mLX6FkpKGj5o+3o5dmIyJlLn2AXoSE9/hNzc6dTUbCcsbCBlZQtRqe8EO7h3qT7oCXwrKYoZcBMc3InKylX+9jYWuBgM0Tid9WscBQ63C7Z2xuEswBbcmZraHRiNcRiNsdTU7ESjMfrTU2s0IXi9Ffh6hnyTOxXFitdb3uQ9OTY0KIoenS4Yl+vAxRIVDIYYdDorDkchXk8NikZP27b3EhN9PiUl89iyZSq9en3Hnr0fU1j4K07nHlJS7qa2ZgdOVyllZX80edbIyLPp2uW/x/nahBCiZZxMzwpCCHHGB0111S62LCugbbcoLKHGFm3LwSqLa7FFmqksqWXWuxvI37fIrUan4HX7/tt8QR3UhzOX3tcDS5iRb6at5Lw7uhDZKthfX2npn6zKurbRc0VHn095uS8DnEZjJSSkE3Z7Nq59iQpUdV+evYChg75Me4piRFX3J9HQaEKPKlBRMKDipH37p8nb+zUVlUupD9A0GivxcZdSXPIbaWmPUFOzk+zs54iMGI7TWURl1Wr0+rB9w/Z898ZqyaDOUYjbXYIvEPPQWHB3LPmGDhYRFjacsrJ5/nPptDZQFFKSb2Nb9rNYgtrQrdt0Vq68hjZt72P9+v/zl92ftTAIXyp3MJlaU1eXg9GYgM3WiZCQXiQn3XDcrkMIIVrayfSsIIQQZ/ScJgCTRU+XYa1auhmNskWaff9GmLlsck9mT9+AJcRIRWE12VnFBzz7749kTMEGzFYD6X1j/UFgVdVGVqwcQ+9e32IL7kpN7U7cbjv7h53pqavdvS9lNni91VRUZGE0JBAc3JXS0tkoSv1ZDuwp8hIeNhSnqxiHowyXa+++48sPuIrmU28fSN3Xnk2bHkTxvzW9++q0ozeEUVeXy9q1N+8bauimuORXAAyGOCLCB+J0VlJSOovg4M6YzSnYqzfuq8d1UAp1H50uHLe7jL8eSGn3zdPy9ZaVlc1lfw+clviEq8jJ+R91jnz69vkBj6cakymOyMiR5Od9TauE68nd8/6+a61Crw/fFwCCVmuja5fXsFrb/cU2CiGEEEKIo3FGz2k61Ywa14H+l7QlqVMkGo1CXFoIIdFm//7uoxMJjTKjN2rpf3FbzFbfMEKzOZGUlDswmeKwWNPRe4cFxAgWSypO1/4seFZrJ19SBsVLWdl8tBorUVGjiYu7BqMxDsA/P6qmdid2+3pcrrx9Rx+cxSIwYNLpopq5wvogTkWra7gOxM6db/q/N5uT0Gjqr13BEtSGvPwvKSn9FZMpierqbTjqcvft9w3XOzhg0miseDyV6PWNz586Mh6czhygjrCwwVgtGYSHDaL+cwmTKR69PpyCgu+xWtsREtKDqqqN7M59H7enCqu1PdHRF2IwtMJsbrMvYNICCl26vCEBkxBCiFPKlClT6NatW0s3o8WkpKTw0ksvHdM6hw0bxt13333Czyt8JGg6BaX2iOa8O7pwwaRuXHZ/L4Zf354+F7amVVo4zrr9mec+mbqE9X/sQaezkpJ8C1qtGY03llWfnoe7Zv+CvNXVG6mr2+l/7fU6iIo8F6MxltS2/2DgwPkYDOEUF8/E4cgjLvYKdLpgwI3LZUdRDAckmWisx2Z/YOd2l/oDp2BrtwPKHBhsafB4alCU0IBaVHV/AopgawZeb/21qlTX+Nqv04VRV7cbr7cWj7duX731X4FUVUVV3bhcBY20+eh/NMrKFmCv3khp2Xy0WjNWazqWoLYM6D+PXj2/8JcLCkomLe1Bund7n5iYcyks/BGnMxdQ0WpsWCypgOLvcRJCCHFqGzduHIqi8PTTTwds//bbb/3zpwHmzZuHoiiUl5f7t+3du5fOnTszZMgQKioOb7mPxs598Nfo0X99LUBFUfj222//cj3H2vTp0wkNDW3pZpzUzvTg9khI0HQKMph1JHWIQG/UsnZuLsW7q1g7N5cf/7uGbSsK/eU6DIwnpnXgOPD2He/myn/2YeCw/xETfSG9en6NolgCytTUbMFiaU1NTTa7cv5LadkiFMW0L3OehsKimbRLnwqAx1OCqjoD5jTVi4o6B1+wUnvAVg9ejx3QUGXPAuoz8tUnb9ADXlTVgaqWN3kPCgq/B5zUv4Xr05cHBaWREH81YWH96dH9Q8LDhgDefYvQgla7vwfrwCDsQBqNBdDsK6ttsg1N25+kw+tx4nJV4vHUUVu3m6CgZGprc1iwcBCbt0wlIf5qtFoTdY58wENCwvV07vwaoWG96NL5DQYPWkJM9DlH0QYhhBCHonpV6rLLqckqpC67HNV7/Kd5m0wmnnnmGcrKyg77mOzsbAYNGkRycjK//PILISEhDcpMnz6dYcOGNVvP6NGjycvLC/j65JNPmizvcp2cayAK0RIkaDrF2UvriEiwcuOzgxj75AA6DIz37+s6MjEgEUS9qKRgrMFJdOr0IiEhXenT+3NMpkTMpmRAwWxuTWLiOHr3+g6DPpIN6yeTm5uJw7EX8ODxVLEt+1lAg83WG43GiMXSAV9iCB9FsVBSMvegM+t9+zS+BXT30wBu0tOmYDansP9tqT+MO1BfjwJoqKxczp69X1BWtoh16+4iIeEarNb2aDS+YXIejx1FMR1w7P4fAXVfjghfWTdajXnffhs6XRhmc9q+a1QAw0Fp0RtbXEtFxUFoSB/WrL2JpUvPp7Z2N3p9GKGhfSkpWYDbXQmAyZhAbOxlREYMZenSc2mdchtBQUkYDOGHcQ+EEEIcqdp1xeQ/s5Tit9ZS+ulmit9aS/4zS6ldV3zog/+CUaNGERsby1NPPXVY5desWcOgQYPo378/3377LWaz+dAHNcFoNBIbGxvwFRa2f+1JRVF4/fXXufDCC7FYLDzxxBOkpqYybdq0gHqysrJQFIVt27aRkpICwCWXXIKiKP7X9T744ANSUlIICQnhqquuoqpq/1B5h8PBXXfdRXR0NCaTiUGDBrFs2bKA49evX8/555+PzWYjODiYwYMHk52dzfz589Hr9eTn5weUv/vuuxk8eDDz5s3jxhtvpKKiwt+rNmXKFP9577vvPhISErBYLPTt25d58+b569i1axcXXHABYWFhWCwWOnbsyE8//dTkfS0sLOSCCy7AbDbTunVrPvroowZlcnJyuOiii7BardhsNq688koKCvaPdBk3bhwXX3xxg2s5OBB2u91MmjSJkJAQIiMjefjhh2kup1t5eTkTJ04kKioKm83GiBEjWL3alzV6+vTpPPbYY6xevdp/j6ZPn95kXWc6CZpOcSPHdaDj4AQURcESYkTRNPbw3jyrtT0DB8yjT5/vGT5sPQP6z0avt6HTWUBR0OosHDjsTqMxU1eXg04XQreubzFk8HLapT9EeFgffMGDDlWtxhvwiZ1CfRpxj8f3C1OnCycy8m94vU4Asrc/R03NVjQaE2ZzG8zmI0nQYcQXBNV/QUXlKrRaM6rqweUqQqeLwJcevP4YdV9ZBdCDCl6PBre7CqMxYd/wPhdQidtdRm3tVny9WyrgxO0uPOD8Tf/CKij8xn8P1qy9DZ0umPCwvoALg8E3VLG4eBb5+V+xddtTdO70GsHBnY/g2oUQQhyJ2nXFlHy4EU+FM2C7p8JJyYcbj2vgpNVqefLJJ/nPf/5Dbm5us2UXLVrE0KFDueyyy/jwww/R6Y5//q4pU6ZwySWXsHbtWiZMmMD48ePJzMwMKJOZmcmQIUNITU31BzmZmZnk5eUFBD3Z2dl8++23/PDDD/zwww/8/vvvAUMT77//fr766ivee+89Vq5cSWpqKmeffTalpb5h6Xv27GHIkCEYjUZ+++03VqxYwfjx43G73QwZMoQ2bdrwwQcf+OtzuVx89NFHjB8/ngEDBvDSSy9hs9n8vWr33XcfAJMmTWLx4sV8+umnrFmzhiuuuILRo0ezdetWAO644w4cDgfz589n7dq1PPPMM1itDeda1xs3bhy7d+9m7ty5fPnll/z3v/+lsHD/M4LX6+Wiiy6itLSU33//nVmzZrF9+3bGjBlzxP8/7733HjqdjqVLl/Lyyy/zwgsv8PbbbzdZ/oorrqCwsJCff/6ZFStW0KNHD0aOHElpaSljxozh3nvvpWPHjv57dDRtOlOc8dnzxH46naXBa1+mt1pWr7mN6urNJMRfQ2XlKiqr1uJ2V7F23V1UV29Epwumri4PjcaC12snKCiDmpqNB9TmCyoUxYCqutDpQrHZulFt34hOF4rbXY7H4xvi5/XW4HDkodNZ0OsjUVXPvgx3zdnf45SUOJ6S0vlUV2/CXr2J6upsANzuErTaYEJCeqDV2igunoOq1gAGIiOGUFwya1/Q6SEm+jxCQnuwadOjuFwFGI2tCA8bTF7+wcMYGl93qqk21tTsYNHis9BqzaSkTKK0dD7r1t+Dx1NDePhQoqPOJjr6r48vF0II0TjVq1L+fXazZcq/346pQ8RRfRB5OC655BK6devGo48+yjvvvNNsuTFjxvDqq68ek/P+8MMPDR7+//nPf/LPf/7T//qaa67hxhtv9L8eN24cjzzyCEuXLqVPnz64XC4+/vhjf+9TVJTvw7/Q0FBiY2MD6vZ6vUyfPp3gYN+ol+uvv545c+bw73//m+rqal5//XWmT5/OOef4hqG/9dZbzJo1i3feeYfJkyfz2muvERISwqeffope7xt9kp6e7q9/woQJZGZmMnnyZAC+//576urquPLKKzEYDISEhKAoSkC7cnJyyMzMJCcnh/h43+ic++67j5kzZ5KZmcmTTz5JTk4Ol112GZ07+z7AbNNm/zzwg23ZsoWff/6ZpUuX0rt3bwDeeecdMjIy/GXmzJnD2rVr2bFjB4mJiQC8//77dOzYkWXLlvmPOxyJiYm8+OKLKIpCu3btWLt2LS+++CI33XRTg7ILFixg6dKlFBYWYjT6MipPmzaNb7/9li+//JKbb74Zq9WKTqdr8H8nGpKeJnFIWq2ZHt2nM3jQYtq0uZOOHV/C46lDVd3Y7RtxOotwOksAhbTUB0hMvMUfMOn1kftqUdBqrQQHd0RRtMTEnAe4CI8YikYDqan348ue55s3FRTUhvT0Rxk4YB5dOgf+sdDrI0lKupXAmN9JcHBPQKWw6BeqqzcBOvLzvyEl5XZ/WaulHXV1e7DbV2MLbo+iGAEnxSWz0OujUBQdZnNrdud+wLZtT/mTRFitaTice9DrfcPldLpQjixg8vF6ndTWbsduX8/WrU+TtXoCbnc1quokJflmEhLkEx4hhDieHDsqGvQwHcxT4cCx48iTLRyJZ555hvfee4+NGzc2Weaiiy7im2++4Y8/Gi50npOTg9Vq9X/deuut/PHHHwHbnnzyyYBjhg8fTlZWVsDXrbfeGlCmV69eAa/j4+M577zzePfddwFfYOJwOLjiiisOeY0pKSn+gAkgLi7O3wOTnZ2Ny+Vi4MCB/v16vZ4+ffr470lWVhaDBw/2B0wHGzduHNu2bePPP/8EfMPNrrzySiwWS6PlAdauXYvH4yE9PT3gXv3+++9kZ/uC6bvuuosnnniCgQMH8uijj7JmzZom69u4cSM6nY6ePXv6t7Vv3z4gAcXGjRtJTEz0B0wAHTp0IDQ0tNn//8b069cvIGlI//792bp1Kx6Pp0HZ1atXY7fbiYiICLjWHTt2+K9VHD7paRJHTK+3MXTIKhyOAlyuMvLyv8ZgiCQsrC+hIT0pKfmD3NzpgBe325dsoUPGc8TFXeKvo7hkHk5HEdHR56DXhxIddS72qvU4XaXU1eYSHjaAdevuplXCNeTuCezdcblKyMl5o0G77Pa1ALjd9eOlfUGd3b7/F1JF5XIArNbuVFSuQaPRo6oawLNvIV8NtbU7AA0R4SPZm/cpdRVOCusWYQoOxmxOxuUqxe0up34oIrjR66OJjb2U3bsbtivQ/rlcqlq3r+fNiV4fIUPyhBDiBPBWNR8wHWm5ozVkyBDOPvtsHnzwQcaNG9domTfffJP777+fc845h59++okhQ4b498XHx5OVleV//fXXX/PVV18FzKcJDw+cF2uxWEhNTW22XY0FHBMnTuT666/nxRdfJDMzkzFjxhAUFHTIazw42FEUBa/38NZuBA45fys6OpoLLriAzMxMWrduzc8//xwwN6kxdrsdrVbLihUr0GoDkz3V98JNnDiRs88+mx9//JFff/2Vp556iueff54777zzsNt+pDQaTYO5SX81EYfdbicuLq7ReyJZBY+cBE3iqGg0OszmBMzmBGy2TgH7IiIG06vnpyxfcSWqakerDSY0tG9AmciIYf7v27b5OwAJra4lP+8bunebjqqquFxllJYtBNxoNDa83sp9R6goiumA7HdaQEVVfX/g3O5SfEkkGvtl41ts15dtz31A2nLwBUHefcd6yS/4Cq+3huKNUVhssUT0tRAZNQKXq4ra2m2AZt9wxApcrvLDCJgaaY3GTEb7l4iMHIxWe+g/QEIIIf4aTbDh0IWOoNxf8fTTT9OtWzfatWt8LT5FUfjf//6HRqPh3HPP5ccff2To0KEA6HS6gAAoOjoas9l8yKDoaJx77rlYLBZef/11Zs6cyfz58wP26/X6Rns6mtO2bVsMBgMLFy4kOTkZ8AUJy5Yt869F1KVLF9577z1cLleTvU0TJ07k6quvplWrVrRt2zag58pgMDRoV/fu3fF4PBQWFjJ48OAm25eYmMitt97KrbfeyoMPPshbb73VaNDUvn173G43K1as8A+z27x5c0C6+IyMDHbv3s3u3bv9vU0bNmygvLycDh06AL5hjuvWrQuoOysrq8F1L1myJOD1n3/+SVpaWoMAEKBHjx7k5+ej0+kaJOio19g9Eo2T4XnimKip2UlB4U8sWDiI2tpcbLYuxMZcREL81QwbmkVl5Ur+WNDfn/ShMW5XJbV1uaiqiqIodOjwDH37/Ex6+mN06/o2Ol0o7dKfwJfMQaVd+hOYTK3xDZFTCQsbeEBtgQFTfNzVDOg/n1atxtK2zf2EhfYhOLibf79Wa2P/UDsX4MHtrsBkakOrfk7aDIyhvOJPtm17Go1Gi9ncFvDg9VbuW6Oq/ro06HRhHC6Pp4I9ez8lL3/GYR8jhBDi6Blbh6ANaT4g0oYYMbZumNb7WOvcuTPXXnstr7zySpNlFEXhjTfeYOzYsZx77rmH7ElpjsPhID8/P+CruPjQSS+0Wi3jxo3jwQcfJC0tjf79+wfsT0lJYc6cOeTn5x92KnWLxcJtt93G5MmTmTlzJhs2bOCmm26ipqaGCRMmAL6EDZWVlVx11VUsX76crVu38sEHH7B582Z/PWeffTY2m40nnngiYC5Wfbvsdjtz5syhuLiYmpoa0tPTufbaaxk7dixff/01O3bsYOnSpTz11FP8+OOPgC9r3S+//MKOHTtYuXIlc+fODZijdKB27doxevRobrnlFpYsWcKKFSuYOHFiQC/ZqFGj/P/XK1euZOnSpYwdO5ahQ4f6h0OOGDGC5cuX8/7777N161YeffTRBkEU+IZl3nPPPWzevJlPPvmE//znP/zf//1fo20bNWoU/fv35+KLL+bXX39l586dLFq0iIceeojly5f779GOHTvIysqiuLgYh6PhEjLCR4ImcUzs2PEKOTnvEh19Dna775dZhw7PoNUGUVGRhc3WheSkm9Bomv5DFRk5nO7dpgeM1dVodCS2uo6wsJ4MHbKCVq2uZuSIrQwftgEUFQUPQUGpZLR/Fq3WTGDq7/0dqXvzPmHR4mHk5n5AZdVabCE9qapagyXI90vQ46lEozTs6amr247XW0FJSf2nal68Xi8ORy71c5pU1Uts7GXU92IFJq049I9YWdl8Nm9+iJra3YcsK4QQ4q9RNAqhF7RttkzoBW2OWxKIg02dOvWQQ9YUReG1117jxhtv5LzzzmPu3IOX9Dg8M2fOJC4uLuBr0KBBh3XshAkTcDqdDQITgOeff55Zs2aRmJhI9+7dD7s9Tz/9NJdddhnXX389PXr0YNu2bfzyyy/+NOgRERH89ttv2O12hg4dSs+ePXnrrbcCel80Gg3jxo3D4/EwduzYgPoHDBjArbfeypgxY4iKiuLZZ58FfJn+xo4dy7333ku7du24+OKLWbZsGUlJSQB4PB7uuOMOMjIyGD16NOnp6fz3v/9t8joyMzOJj49n6NChXHrppdx8881ER+9flkRRFL777jvCwsIYMmQIo0aNok2bNnz22Wf+MmeffTYPP/ww999/P71796aqqqrB9QCMHTuW2tpa+vTpwx133MH//d//cfPNNzfaLkVR/MM6b7zxRtLT07nqqqvYtWsXMTExAFx22WWMHj2a4cOHExUV1ey6XWc6RW0uuftxUllZSUhICBUVFdhstkMfIE56vmQGboqKfmXT5ocZOmQVGo2JlauuJTHxBqKjzm5wTHnFCryeOsLDBzZS46GVlC5g7do7SEwcR3LSRJYuvRCzORmPpw6dLpSS0llNHmswxOF05mEwJOB2laI3RPrXoWqahvpercbYgntTWbUMX29T6L5hggBmAhf4bchoTKJr1zcJtqY3W04IIc4Ux/tZoXZdMeXfZwckhdCGGAm9oA3mTpHNHHlm+uOPPxg5ciS7d+/2P3CfLCZMmEBRUREzZsioDXH8SNAkjilV9eJwFGAyxR2y7IYNk3G6yujWten1BQ7F4SxGrwsmL+9rNm+ZSqeOL7Fz12vU1OzC47EDvvWg9gcwjfElcwBQFD2qGji0r37+VFjoCMBJWfnCfXvUg8qFoqrluGrCqSluS0jSeqCmkfP5eqQabNWYGT6sYVe8EEKciU7Es4LqVXHsqMBb5UQTbMDYOuSE9TCdKhwOB0VFRdxwww3ExsY2unBrS6moqGDt2rWcddZZzJgxg7POOqulmyROY5IIQhxTiqI5rIAJICPjWRoLHg6H213Fxk3/JCJiOCUlc+nU8SUiIoZiMsUTEtKNBQsHodVY0WiteL3V6PWRuFxNjdvenwzi4IDJt82XcKKs/LeD9hwY/BhR1XIAnPYIFI0b1etE0TRWtuE16/URpKX969AXLoQQ4phRNAqmtqEt3YyT2ieffMKECRPo1q0b77//fks3J8BFF13E0qVLufXWWyVgEsedBE2ixfjmLjXM9nI4VNXtWxtKdaMoOkDD+g2TiQgfREhId0Clfft/U129hV05bxMbeyHV1dvR60IpKv4Zi6Uj1dXrj7TFBPYuHRj87J84aY3ZjdfjRNF4mygbWJdGYyIoqA0lJb8RF3vhEbZJCCGEOH7GjRvXZEr0lvZXkmIIcaRkeJ44LaxceS11jgLq6nYzdMhqwItWG0SdI5+qyjVERf0NALe7lt25mei0NrZsfTSgDkUxoqpHmjWm8aF2h6LVhuDx1C+cqGXY0LUoitJsogwhhDiTyLOCEOJkItnzxCmntjaXJUvOpaZmh39bYuI42qU/SufO/0WrNfnXPDIZY/0BE0DW6rF43HYSE69j0MBFREaehcEQRULCONq0uZf67HuKYsK3XlPzVNXbaF4Iq7UTihK0L5W5b65UfX16XQTgQaPxLaIXF3sJWq1RAiYhhBBCiJOUDM8TpxydzkpIaE90uv2fPEZFHd5Y5qTECZhM8QAYjTEEmZMoL1/Gnj3TAejc6XXCwwexZOlozKZEysqX0FS2PNgXYjUyZ9huX4/RGI+quvF4KgPmSqkoeDx2dDobrVvfT0ryLYfVdiGEEEII0TIkaBKnHL0+lPbtHm9yv8tVhlZrRaNp2FMUHT064HV4+CDqHPmoqpfIiBGYTHFs2PgAFksaqW3vR6cLZfOWqRQXz9xXfhQaxUtN7V5qajb5AyZFMfh6nfYllfBl7CvH46lGownGW1NF1DQdZVe7cbf1JaRo0+Y+EltdewzuiBAnry35FfztpQUA3DMqjbtGSVp9IYQQpx4JmsRpZ8nS84mPu5I2bRpfIftAERFDiIgY4n/9559nU12TjcWSjsWSzm9zU7FY2mMwxOJ0FhBkjqNduyl4PA7+WNAPkymRpKQbQFWpqlpLWfkKqqs37ktx7uuh8nqrQA+O9iqqv3NMR1hov2N/8UKcJGqcbm7MXMqSHfsXe56+eJcETUIIIU5JEjSJ007HDs9jDkoJ2Kaq6r5sfc2zhXSjpnYX7dtNpajoFzQaE9XVm/bt1VBRuYZlyy+hd69vGDZ01UFHX87v83vs+17B9+O1b1ieFiov9y2ca7N1p1fPz1EUmVIoTl8X/WcBW4uqA7Z9NLFvC7VGCCGE+GvkqU0cN6rqpbY2B6/XGbA9K2siy5ZfjsfT2MKvRy6/4Huqq7MBKCtfRm1tLiZjrH9/SckCfpvbjsrKQ6cYT0q8Ga02iLKypWzLfo6oqNHodMGAFr0+DIcjH70unEWLhzd6fHr6I/Ts+SX9+82hsblQaWmP0avnFxIwidPWtW8tJuNfPzUImIalRZARJxnQhGjO9OnTCQ0NPSHnSklJ4aWXXjoh5xLidCBPbuK4KSz8iUWLRzDv9644HEUAeL1unK4SmkuucDi2bH2CHTtfA2D79hcoLp4NQHnZnxQUzAgoqygKen0IBkP4Ieu1WtsydMhKKipXEhLSHaslDZ3ORtu292MyxmGzdSE17R+0ajUWgLq6PHJz96+OHhrSgxBbV4KCkujR/T0iI0bgy5qnp136EyQlXndYPV5CnIqyC+0szC6l1t3w5zsjPqQFWiTEyWfcuHEoioKiKBgMBlJTU5k6dSput/vQBzfiRAU/U6ZMoVu3bsf9PEKcrGR4njhucvd8jM3WnerqrezN+5LWKbdRWjqfqqo1WILSUBQdDkcRu3LewmiMIjnppsOuW1H0uJylOJzFJCfdTELC1QC0bn0n9uqtzJ3Xid69vsJqbUd4+ECGDF52RG3v2uVNQGHR4pFotUHU1u7G4SwiKKg11fZtxMVeCkBFxUqyt08jyJKK2ZTAosUj6djheWJjLyQsrB9Wawd2755OYuL16PVhR9QGIU4lszcWcPP7yxvd1y7aygPnZJzgFglxaF6vl127dmG327FarSQnJ6PRHP/Pk0ePHk1mZiYOh4OffvqJO+64A71eT1xc3HE/txDi6EhPkzhu4uMuJzg4g+DgDCIjhgIQETGM4ODOaHUWFEXP6tUTqChfhk5rPaw6i4rnkJf3LXb7RsorVlBevoyt257C7bbjctVPOFeIiT4XszmxwfFZq8dTUPDDIc+jKFoURUO/vjNx1OVTWjKXqKizKCj8kXXrJ7Fj52ss/nMUHk81gwctIytrHJu3TCU9/ZGAdaHKyhezc9frh3VtQpyKnC4Pr/22lYnvLcfbRAfyhMGtT2yjhDgMGzZs4KWXXuK9997jq6++4r333uOll15iw4YNx/3cRqOR2NhYkpOTue222xg1ahQzZsxoUC47O5uLLrqImJgYrFYrvXv3Zvbs2f79w4YNY9euXfz973/3917VW7BgAYMHD8ZsNpOYmMhdd91FdXV1g3PUKy8vZ+LEiURFRWGz2RgxYgSrV68GfMMGH3vsMVavXu0/z/Tp04/dDRHiFCBBkzhu4uIupX27qfTs8QnBwR0AUBQNia1uoG2be1AUhQ4dniMicjhhYYeXSW7t2jvYtesNFEVHr55fEhN9DkMGr6DOkcf8P3pTUbGS4qLZlJYtRKsNImd3JpVV6/zHWyzpGAxRhzyP01nCmjW3Ul29Dbenirj4K7Fa29Ou3VSSEm8ld/f76HSh2Ku3sWvXG2i1ZkpK5rJ79/tkZz/nryc66myGDF4qvUzitDN3cyH5FXVc9sYinvt1S7NltSfgk3shjsSGDRv4/PPPqaysDNheWVnJ559/fkICpwOZzWacTmeD7Xa7nXPPPZc5c+awatUqRo8ezQUXXEBOTg4AX3/9Na1atWLq1Knk5eWRl5cH+IKt0aNHc9lll7FmzRo+++wzFixYwKRJk5pswxVXXEFhYSE///wzK1asoEePHowcOZLS0lLGjBnDvffeS8eOHf3nGTNmzPG5GUKcpGR4njihVNVDXNwluN123O5qqquz2bPnMxRFR1LiBLRaIy5XJVptEBpNw7dnctItmM1JhIb29O/XaPRYgtrQqeNLFBXNwmCIpn+/WQDk532DRmPEFtwJgLTUfxxeO1HxeGpRVSd9+/xC9vZplJTMY8TwTezN+xoVF5WVq6iq2gB4CQpKpUPG3aiqu0GA5EskIcTp5b7PVzMqI5qqWleTZTQK9G0dzoVd409gy4RontfrZebMmc2WmTlzJu3btz/uQ/VUVWXOnDn88ssv3HnnnQ32d+3ala5du/pfP/7443zzzTfMmDGDSZMmER4ejlarJTg4mNjY/QmQnnrqKa699lruvvtuANLS0njllVcYOnQor7/+OiaTKeA8CxYsYOnSpRQWFmI0GgGYNm0a3377LV9++SU333wzVqsVnU4XcB4hziQSNIkTZu/ez9mW/Rxpaf9i27YnsZp7UFoxi/795vDnktHodFYSW41l6bILsNm6ktH+KXQ6C3b7ZkymViiKBkWjZeeu1wir7E9G+39TU7MDVfXi8db651BptEaqq7PZvuMlnK5y8vO/o1XCNYdsn8tVTlnZEqKjz8ZoiKRLlzf4fX4PYmLOx+2yk5J8GwDhYf1IbDWePXs/wmbrTnzc5ezN+4KIiCFoNIbjfRuFaFEz1+Xx8dIcru+fROaCnVTUNT15/eWrujEoNQq9TnqaxMlj165dDXqYDlZZWcmuXbto3fr4DC394YcfsFqtuFwuvF4v11xzDVOmTOGLL74IKGe325kyZQo//vgjeXl5uN1uamtr/T1NTVm9ejVr1qzho4/2JypSVRWv18uOHTvIyMhoUN5utxMRERGwvba2luzs7L94tUKcHiRoEsdFQeHPaDVGUDQU5H9Px47PExY2gNS291OQ/y2hoX2p2tqBXQvsjByRTO9eXxEU5PvjlJb2MOvW3U5kxAji4i5m2fLLSYi/Eo3GzO7d75KUfBMpybezZ+9nbNv2LDZbZ1KSb6e8fAmxMReSkHAVVVUb0WrMREYOp7Jy9WG1ubh4Lps2/5OIiBVotUFotWa6dnmD2tq9aDTr/YvlmkzxlJUtJDb2UjLaPwFAXNwlx+dGCnESya+oY11uBX9sKWb+luJDlt+Ub+eCrgknoGVCHD673X5Myx2N4cOH8/rrr2MwGIiPj0ena/xx7L777mPWrFlMmzaN1NRUzGYzl19+eaND+Q5kt9u55ZZbuOuuuxrsS0pKarR8XFwc8+bNa7DvRKVAF+JkJ0GTOOZqanaybt0kQEd6+sP+7WZzK8zmK4iPvwIAtaNKn/MnsGPnm1RWriIkpAeOujzatXsUkymJnN3v4nQW0irhGnL3fETr1v+HV3WyZ8/H5OZ+RPv2TxAddQ56fQhhYX3o2+dnCgt/pqpqI8HBGXTu/CoALlcla9beTmrbBwgKSkZVPTgcBVRVbSAsrK9/+Fxc3CVERo5Aqw2itHQhJaXzSUt9kKzVEykr+9MfIAF07/4+Wm3QibupQrSQWqeHlTllDEyN5F/frmX2xsLDOi4uxMQ1fRomYxGipVmth5d46HDLHQ2LxUJqauohyy1cuJBx48ZxySW+D+bsdjs7d+4MKGMwGPB4PAHbevTowYYNGw7rHPXl8/Pz0el0pKSkNFqmsfMIcSaRMRPimAsKSiEoqB2gsmXLFNLTH6G2NpfVa27G6SwBYNPmR9m8ZQo6vZ6dO1+lrGwxJSW/k7vnA1auGkdd3R5qa3Oors6mTZu7MRpj2Lv3E0ymVrhcpej1oWi1JopL5pK75yNUVWXP3s/Ys/cTqqu3+obseeoA8Hiqqapaj9Pp+2R8797PWbhoBGvX3UFx8dyAtuv1vrVknK5Samp2oqpe7PZNtG4dOHnWYIiUoEmcEb5cuZtr317C+MxlzNtciMWoPeQxN/ZPZvGDI0kIk58RcfJJTk7GZmt+oWWbzUZycvIJalHT0tLS+Prrr8nKymL16tVcc801eL3egDIpKSnMnz+fPXv2UFzs+zv3wAMPsGjRIiZNmkRWVhZbt27lu+++azIRxKhRo+jfvz8XX3wxv/76Kzt37mTRokU89NBDLF++3H+eHTt2kJWVRXFxMQ6H4/hevBAnGelpEseFRqMHPICOPXs/Jib6fOz2baxYcT1GUxR2+wZ0umA2b5lKZMQQIiJHkpv7IaAlJKQLUZGjcDjzSG07GQCzqRXBtq5UV2/DamlH586vM+/3Tqiqm+joc1EUBXvVepzOIjZuepD1G+5Dp7MSH3c5cXFXoKpu/3yjmJgLCApqg8XSFoMhEoC8/G8JDemDXm9Dp7MSG3MBYaF9UBQNgwYuaJmbKMRJ4OKuCfy2oZAF24pwe8HtaPqT5s7xwUy7shvtYpt/IBWiJWk0GkaPHs3nn3/eZJnRo0efkPWaDuWFF15g/PjxDBgwgMjISB544IEG87GmTp3KLbfcQtu2bXE4HKiqSpcuXfj999956KGHGDx4MKqq0rZt2yYz3imKwk8//cRDDz3EjTfeSFFREbGxsQwZMoSYmBgALrvsMr7++muGDx9OeXk5mZmZjBs37njfAiFOGoqqqk2srHH8VFZWEhISQkVFxSE/7RGnJlVVKSn5g7XrbqFVq3FYLelsy34Wp7MIs7k17ds9RmhoT9ZvuI/wsMEkJFxJReV61q69ja5d3vCnKPd4alEUXwCWvf0liotnk54+hcqKVYSHDyYv/2vSUv+BVmtm85apFBXORAWczgISEm6gqPBHIiKHE2ROJiJiCMHBHf1t9HqdeDw1aLVm5v/Rh7CwvlTbtzJgwFzKyv5k5apr6d9vtn+ulRBnqt5PzKLI3vwcill/H0JajGSKFMfO8X5W2LBhAzNnzgwIQmw2G6NHj6ZDhw7H/HxCiFOb9DSJ40JRFCIjhzB82Ebm/NYO8KDThQMqtbU72LnzdVJT/0FR0a+kJN8OgFZjxGxORG8Ip7Y2lz17v6Sg4BsiI0eCqrJn7yf06vk5dvtm8vNnoKoqVVUbWLR4OJGRI8nL+xadLgiNxgxAXd0eTOZWuFxlFFStx2iMDQiatm57mpKSuUREDCcm+jxSUm6ntnYXACEhPejS+XXM5pQTfOeEOPlYjbpmg6ZLusVJwCROOR06dKB9+/bs2rULu92O1WolOTn5pOhhEkKcfCRoEseVy1WJ2RSPw1mC2126b6tKWfkiamp2ktH+aYKC2gBQWZVFdfVm1q+/F7t9E253OZagNEpL5qNoDMTHXUlN7S5ydmcSFt6XnN1v4fHUYjRGU1q6EIulNW53FUHmNjidRZSUzCY4uCPJSTdhNieydt1dhIT0ICjIN069vGwpdbV7cbvs5Bd8RUrKrYSHDwRAozEQFfW3lrhlQpw0PF6Vh75Zy6Xd43l+9rYmy/3jnIwm9wlxMtNoNMctrbgQ4vQiH6eI46qmdgd1jiK83up9w+zqaVi/4f/YsPE+Nm76J8Ulv2ML7kLHjq9QU5ONydiKpMSb6NnzM6zBHXA6C6mqWsemTQ+jKFqCrZ3xeurQ6Wy4XGXU1e0mImIEdXV7sFdvom2bezAYorBa2hMa2gtF0WMyxVFc/Bursm7E7baTmDie+ISrych4mj59fsRsbpiGFaCmZgfLll1CXV3eiblpQpwkPF4vXyzf3WjAFGsz8uvdg/nq1v7EhJhboHVCCCHEiSM9TeK4CrF1ZfiwtezZ8xG7ct6lrm7Xvj37s/8UFHxLaekivN5aPJ4qNBoLwdYo7NVbWPzn3/B4arBa29Gj+8csXXohdvsGNm95GKMpDq/XjdttJyL8bAoKvsdq7YDJFE/ung8wGuPR+DPcaamoWE1dXQHV1ZsoKp7DtuwniY8bg0ajIdjavslr0GotWCypaLXyYCjOLHd8tAJPE7NebxnalnRJ+CCEEOIMIUGTOO4URaFVq+twOArZueu/+N52LkCLL8MeuFz7137xeqspKZ2/75Vvf3X1NhYtHo7TmY/BEE1U5FnExl7KipWXAyrlFUvweMp9R3jqqKvLw+EooLZ2J2mp/6C6Zgt1dTmkpz1EVNQo5v3eFY+nhorKrEO232iMpkOH547R3RDi1HD3p6uYtbGowfZIi44pF3ZmaLuoFmiVEEII0TIke544oWprc8gv+Jnt258FTEDdER2v1Qah1Voxm1KorFqFqrr37fG9jTWaIFTViUZjRCGYHl2/xunZxq6c/+Fw5BMffwXJSRMpLpnPxo3/pEOHZ3A48gix9cBi8c2tKq9Ywd49n5GR8QyKohy7ixfiFLCloIoHv8xixe7AtMbdWtn46Kb+WIzyWZs4MeRZQQhxMpG/fuKEqaxcS3HJb1RWrKZL5zcpLJpJfv43R1SHx1ODx1OD01nY6H6vtw7w4vG4KV4/nI+/XUTqBZOpD6q2bXuK6Kiz0etCCA5uT4itC0uWPkhS4nh/0OT11OF0lew7RoImceb4YvkuJn+5LmBbsFHLzLuHEBdiRqORnwchhBBnJgmaxAmzfsM9OJ1luN3lGIzx+wImhfqAJlAQUHNU5zGb2lJbt4uQ1gswR27jwOAnLu6KfZn0JmGzdUWnC2ZA/98DepTCwwf6s+gJcbrzerxsXJTHnXPXsb3G7d/eJsLIb5NHtWDLhBBCiJOHBE3ihOnR4xMWLBgIqJSV/oFWE4zHWwVo0OtiQPHichVgsWQQFtqL3D0fHHC0hgOTRzRFpwtG0WgBL/qgcvRB5YAGrTaU4OA0WiVcC0B6+iMY9OEAMgRPnNFyd1dx3oys/blUFXjruu6c1Sm+JZslhBBCnFQk5bg4YYyGSJKSxqHThVHnyMVkTqRH988xmRLQaLV06/o/QkP70rbt34mMGgn4UpRbLO1p6q2q0QQFvHa7K6ip2YIvwNICEGzthNdbQ3n5EpYt96UOX7/+73g8R9eTJcTpoLCqjn9+vZohbyzw/3gFGzVseny0BExCiEZNnz6d0NDQlm5Gixk2bBh33333Ma1z3LhxXHzxxSf8vOLISdAkjrstW5+guPg3ANJSH2TokOXExl6C0RiBqjrQ6ax4PFWsXHU9DkcBtuAurF49EV+GPXC5yqjPoncwr/fgwEdh/9vag14ficfjQFV9CScURcfKVdcSGtoXozGGioos8vKObF6VEKeDl2dv4eOlub4XCnxza1/WTj0Hk17bsg0T4gRSVQ9lZX+Snz+DsrI/UdXG/9YcC4qiNPs1ZcqUI65zypQpjdbVvn3Ty2gcrpSUFF566aW/XM+xNm/ePBRFoby8vKWbctI604Pb40WG54njzuUsxe2pDtgWH3clhUUz2b7jZbRaC2Fh/UEFr1qH212LXh+G0+lLd+x01idlgPphelptMB5PFQ3nRKkBr12uYlyuYgB0ugjcbju1tbvwep0UFP6E01lKWdlC4uIuOU5XL8TJZ9nOUj5ashuAjvHBfD9psCR5EGecwsJf2LJ1Kg5Hvn+b0RhLetojREeffczPl5e3f4H0zz77jEceeYTNmzf7t1mt1gbHzJs3j3HjxrFz584m6+3YsSOzZ88O2KbTNf1453Q6MRgMR9ByIQRIT5M4EQ6YM7Rg4SBycz+kqHgWubnvUVm5GrM5heLiOZSWLaKkZB4bNtxDRMQI/zEajdH/ffdu79Mq4Xq0Wgs6XQghIb0A0Otj0GgsTTTA9zZ3u0sABwAORwFbt/6bsNBe1NXuobo6+9hesxAnqTkbC3jo67UE7etR+uFOCZjEmaew8BfWrrsjIGAC39+GtevuoLDwl2N+ztjYWP9XSEgIiqIEbGssaDocOp0uoJ7Y2FgiIyP9+1NSUnj88ccZO3YsNpuNm2++mREjRjBp0qSAeoqKijAYDMyZM4dhw4axa9cu/v73v/t7rw70yy+/kJGRgdVqZfTo0QEBodfrZerUqbRq1Qqj0Ui3bt2YOXNmwPG5ublcffXVhIeHY7FY6NWrF0uWLGHnzp1oNBqWL18eUP6ll14iOTmZ7du3M3z4cADCwsJQFIVx48b5z/vUU0/RunVrzGYzXbt25csvv/TXUVZWxrXXXktUVBRms5m0tDQyMzObvK/V1dWMHTsWq9VKXFwczz//fIMyZWVljB07lrCwMIKCgjjnnHPYunWrf/+UKVPo1q1bg2tJSUlpUNdjjz1GVFQUNpuNW2+9FafT2WTbHA4H9913HwkJCVgsFvr27cu8efMAX6B94403UlFR8Zd6MUVDEjSJ406vD0Or9c09atP6LsLCBhAV9TdatboRVXVhr1qPb7kwBYulPR5vLcXFc9BqfX9ALJZ0FMWMRmPGYkknL/9b9HobbncF1dXb0OnCcbkK8Hqrm2hBYwkkvCiKHlWFuLjLMBqjj8u1C3EymbF6L/d8vpoO8TZ+u28oc+8bKolQxBlHVT1s2TqVxjO3+rZt2fr4cR2qd6JNmzaNrl27smrVKh5++GEmTpzIxx9/jMPh8Jf58MMPSUhIYMSIEXz99de0atWKqVOnkpeXFxAU1dTUMG3aND744APmz59PTk4O9913n3//yy+/zPPPP8+0adNYs2YNZ599NhdeeKE/mLDb7QwdOpQ9e/YwY8YMVq9ezf3334/X6yUlJYVRo0Y1CGYyMzMZN24cycnJfPXVVwBs3ryZvLw8Xn75ZQCeeuop3n//fd544w3Wr1/P3//+d6677jp+//13AB5++GE2bNjAzz//zMaNG3n99dcDgsuDTZ48md9//53vvvuOX3/9lXnz5rFy5cqAMuPGjWP58uXMmDGDxYsXo6oq5557Li6X64j+f+bMmcPGjRuZN28en3zyCV9//TWPPfZYk+UnTZrE4sWL+fTTT1mzZg1XXHEFo0ePZuvWrQwYMICXXnoJm83m/7878P9HHD0ZnieOu/S0f5Gb+yH5Bd8TH38lABbaYNBHkJubSZ2jiKTEG8nZ/RZ1dV40ig6XuwyNYgKgtnYXGo0GvT6MgoIZqKqbmppcQkP7odWaKCmZj8nYiu7dP2Dr1icpLpl1yDYZDDE4nWVkrb6B/v1+o6ZmB253laQaF6etdXsqiLQa6BBvw2LUERtibukmCdEiysuXNehhCqTicORRXr6MsLB+J6xdR2vt2rUNeqmuu+463njjDf/rESNGcO+99/pfJyQkMGnSJL777juuvNL3d3n69OmMGzcORVEIDw9Hq9USHBxMbGxsQN0ul4s33niDtm3bAr4H+KlTp/r3T5s2jQceeICrrroKgGeeeYa5c+fy0ksv8dprr/Hxxx9TVFTEsmXLCA/3ZbFNTU31Hz9x4kRuvfVWXnjhBYxGIytXrmTt2rV89913aLVa/zHR0dH+eTsOh4Mnn3yS2bNn079/fwDatGnDggULePPNNxk6dCg5OTl0796dXr18I1Qa6+2pZ7fbeeedd/jwww8ZOXIkAO+99x6tWrXyl9m6dSszZsxg4cKFDBgwAICPPvqIxMREvv32W6644oom6z+YwWDg3XffJSgoiI4dOzJ16lQmT57M448/jkYT2L+Rk5NDZmYmOTk5xMf7kvbcd999zJw5k8zMTJ588smAnkxx7EjQJE4Ie/UWVNVDTc0OElvdgF4fgtmcjF4fTrC1I23b3kt5+TLs1ZtRtCYMhmj/ArZarQlV1dKxw/OsXXcnXq8Di6UDISHdycl5l1atxpKYOJY9uR9RUvo7Go0ZVVUAD6rq+xRNUcyoaq2/Pb66VZISbyI//zt27nodqzWdPuHftcDdEeL4ueOjlSRFBPH6vGwu7BpPVk45neJtLd0sIVqMw9H44uhHW+5YOzAA8ng8OByOgG0HB0Tt2rVjxowZAXXYbIE/4/WBQj2TycT111/Pu+++y5VXXsnKlStZt25dg3oaExQU5A+YAOLi4igs9N2ryspK9u7dy8CBgR9ADhw4kNWrVwOQlZVF9+7d/cHPwS6++GLuuOMOvvnmG6666iqmT5/O8OHDmw1ytm3bRk1NDWeddVbAdqfTSffu3QG47bbbuOyyy1i5ciV/+9vfuPjii/3BzsGys7NxOp307dvXvy08PJx27dr5X2/cuBGdThdQJiIignbt2rFx48Ym29qYrl27EhS0Pxtw//79sdvt7N69m+Tk5ICya9euxePxkJ6eHrDd4XAQERFxROcVR0aCJnFCtG83lT17P2Pr1iexV22gS5c30Gi09Or5OdnbX2D16ol4vU50OhvJybeRm/s+ej14vbU4HHsJDu5GTW0OXq8DvT4UrVaP0ej7BCU3dzoVFWupqloJaFBVJ6GhfUhKHM/u3R9SVr7ggIBJQ32yCI3GTM7utzEaY1BVJzHRFwW0ubx8OW53FZGRw0/krRLimOrXNoJWYWbO7RRHYriZO4an0i42uKWbJUSLOdzh2C01bDsrK8v//ZIlS3jggQf881WgYUBkMBgCemoaY7E0nPM7ceJEunXrRm5uLpmZmYwYMaLBA3pj9Hp9wGtFUfYNsT88ZnPzvdwGg4GxY8eSmZnJpZdeyscff+wfgtcUu90OwI8//khCQkLAPqPRNy/6nHPOYdeuXfz000/MmjWLkSNHcscddzBt2rTDbvuR0mg0De7NkQ7dO5jdbker1bJixQq02sBsp0c7L04cHgmaxHFVXr6c7O0v0K1rJgnxYzCbWqHV2iivWEFoSE+CglqTnHQTbrcdnS6EZcsvZOvWqRw8D6m2dicbN07GFtyFnj2/QKPR8fv8nqiq75dPVdUKQE/bNvcQHt4Pm60Lq1aNo7xi2b4a6rPsebFaOmCv3kBKyiR2737HP0xjV85bREefhdmcCEBe/jc46vZK0CROWSV2B+1jg+mdsv8T3dAgyZolzmyhob0xGmNxOApofF6TgtEYS2ho7xPdNCBwqFpubi46ne6QQdHR6Ny5M7169eKtt97i448/5tVXXw3YbzAY8HiObF6XzWYjPj6ehQsXMnToUP/2hQsX0qdPHwC6dOnC22+/TWlpaZO9TRMnTqRTp07897//xe12c+mllwa0CwhoW4cOHTAajeTk5ASc92BRUVHccMMN3HDDDQwePJjJkyc3GjS1bdsWvV7PkiVLSEpKAnxJH7Zs2eKvPyMjA7fbzZIlS/w9ViUlJWzevJkOHTr4z5efn4+qqv75owcGxfVWr15NbW2tP6D8888/sVqtJCYmNijbvXt3PB4PhYWFDB48uNHrPJr/O3FoEjSJ40qrs2I2J6IoGtzuKlZljUWni8DrtZOSfCc7dr5MsDWDNm3upqpqLb4FaX0/6AkJ17NnzwcAuN3laLXBVFatpah49r7EEr70475jVN/8ptI/KCz6GYM+jCr7+n3rQIWjqm7qe5dq63JISrqZnJy3cLvL/W11ucqw2zeRu+dDTKZWZLT/9xF9eibEyeaTpTm8u3AnKx8+69CFhThDKIqW9LRHWLvuDhouW+F7sE1PexhFOTXWLHO73eTnB87RUhSFmJiYQx47ceJEJk2ahMVi4ZJLApfeSElJYf78+Vx11VUYjcZmkyYcaPLkyTz66KO0bduWbt26kZmZSVZWFh999BEAV199NU8++SQXX3wxTz31FHFxcaxatYr4+Hj/fKSMjAz69evHAw88wPjx4wN6p5KTk1EUhR9++IFzzz0Xs9lMcHAw9913H3//+9/xer0MGjSIiooKFi5ciM1m44YbbuCRRx6hZ8+edOzYEYfDwQ8//EBGRkaj12C1WpkwYQKTJ08mIiKC6OhoHnrooYD5RWlpaVx00UXcdNNNvPnmmwQHB/OPf/yDhIQELrrIN3Jl2LBhFBUV8eyzz3L55Zczc+ZMfv755wa9hU6nkwkTJvCvf/2LnTt38uijjzJp0qQG85kA0tPTufbaaxk7dizPP/883bt3p6ioiDlz5tClSxfOO+88UlJSsNvtzJkzxz/078Dhf+LoSPY8cVwFW9vTIeMZNBo9Ol0wiqLH7S7B63VQW7sDrTYIl7uadesfYNPmh6gPmEymJFzOYkwm31ABi6UDGo2B+LgxbNhwD6tXT8Djqcb3Fvag0VhQvU6qqtZSV5eLy11FiM03ztjtLsXrrcXjqcLlKsTjsZOT8z/c7goO/BHQ6SxERo5AqwlCq/H9gpbMYuJUdvOQtsy8u/FPIoU4k0VHn03nTq9hNAYGFkZjLJ07vXZc1mk6XtavX09cXFzA1+EMswNfAKPT6bj66qsxmUwB+6ZOncrOnTtp27YtUVFRh92eu+66i3vuuYd7772Xzp07M3PmTGbMmEFaWhrg6wX59ddfiY6O5txzz6Vz5848/fTTDYaaTZgwAafTyfjx4wO2JyQk8Nhjj/GPf/yDmJgYf+r0xx9/nIcffpinnnqKjIwMRo8ezY8//kjr1q39533wwQfp0qULQ4YMQavV8umnnzZ5Hc899xyDBw/mggsuYNSoUQwaNIiePXsGlMnMzKRnz56cf/759O/fH1VV+emnn/xDGDMyMvjvf//La6+9RteuXVm6dGmjmexGjhxJWloaQ4YMYcyYMVx44YXNpgnPzMxk7Nix3HvvvbRr146LL76YZcuW+XvFBgwYwK233sqYMWOIiori2WefbbIucfgUtQU+Sq+srCQkJISKiooG0bY4va1ZexdFRT8edvnQ0P5UVa3Bau1ATU02cXGXU1GxEoMhhuLiWft6kLz4Ph30BVD1gVC7dv9m27anAAWPp+IQZ9IACoMG/tHgj6gQp6KCyjqufutPXrumBxlx8ntWnHpOxLOCqnr2ZdMrxGiMJjS09ynTw3Qs1AdFy5Yto0ePHi3dnACPP/44X3zxBWvWrGnppggByPA8cYJ16fwKq9d4KC6e2eh+RTGgqvULumlxu6uJihyF0dSKiopl5OT8b192vDUHlAPf8Ir68bu+4Rbl5cvweCr3l1BBUcKBGqCuwbnbpU+RgEmcNqxGHUPSooiwyhwmIZqiKNpTIq34seZyuSgpKeFf//oX/fr1O6kCJrvdzs6dO3n11Vd54oknWro5QvjJ8DxxwnXt8hrh4UMBLTpdGL5Jt75sN4GBkAe7fQ21dXspKPjev7V1yt8PKncwX29TQcHX1I9PB1AUUNVSoP7YA8f3emnV6pq/cllCnFQsRh1TLuxIdLDp0IWFEGeUhQsXEhcXx7JlywLSl58MJk2aRM+ePRk2bFiDoXlCtCQZnidazNatT1Jl34S9aiN6Qyg1NdsbLafVBuPx1AH1aTrrk0UcPIG3ni9BhE5nQ1VVPJ6qw2rPyBHZR3wNQgghjg95VhBCnEykp0m0mPDwwcTHX8GQIcvo328WCQnXNVouPv5q9gdMsH8YngocuF6ECd+IU19GPY3G1EzA1DDBQ13d3iO8AiGEEEIIcSaQoEmcMMtXXMkfCwaQX/ADABERg4mNuQBV9VJTswPV6yQoKJXIyNHodPtXtd69+y202pAmaj0wmKoD3Pu+9+DrkfLRaKwEBkoNe6hqanYdxVUJIYQQQojTnSSCECeEqnpw1BXgdBaxfv3/4XJVkNjqWgBWr7mZkpK5DBzwB9t3/Ie8vM/pkPEiXm8NLped7O1P4fW6D6itfn2m5jmdeShKEKpag9drp2Hvkhmo3fe9nqCgNn/9QoUQQgghxGlHgiZxQixaPIo6Ry6KYkSvD6aifB011Y9TW5eD2ZxEctLN5O75mJqaHYCWsLDemExxAATbMli9+iYURY+qujicgKmeqtYc+OqgvbX+7xQUFM2Zk2ZWCCGEEEIcPhmeJ04Ip7MIAK/XQdDmsyj4OYa8nBWUlPxGYeHPuD012II7ER93GcOGrmHDxvvZtPlhAPQ6G6BitWagKEZAQ9s2Dx/T9mm0RoyGw1vtXIiTTa3Tc+hCQgghhDhqEjSJEyIh4XrA16NTnvQFEWlt0emD0esjUNCQlDiO6OjRxMdfQUHB95SXLyUqcjQANltnkhJvxGrNINjajiGDlxEbezZRUecSE30p0Nw6NA0TPjSmdcr//cUrFKJl3PrBcrpN/RWn+/B7YIUQQghxZGR4njghNBoNGjWYdOdzRPXph9tczM6d89EoXXE4txEU1NpfNirqbxgMkUREDPRvCwnpgdEYTW7uh1RVrWfrtqew2bqQ0f5JOvEcdvtWliwd3ciZDy+jfnT0qL96iUKcUAOf/g2jTmF7cQ29U8Iw6OQzMCGEEOJ4kaBJnBBxQVehnZ+O6jRRvmcH+kQTxUFz2b3oCjr3+RcA69ffg94QSXraPzGZ4qmt3Y3ZnAjArpy3CLF1xeOpwau66NTxJXS6/et2WK1pjByRTXX1Lv5cMoLIiJFU12RTW7sLrTYUr7cKVdXgW9hWh04XismURG3tdkJDu/vPI8TJ7qmfN6IAMTYja3MrMGoVPpnYr6WbJYQQQpzWJGgSJ4QlLhFbl1p0oUaql+TjrXLR+oq7aBXaE1upSuWcHGwxfdie9wxBQSnk532NOSiZpNJ70NoMRIQPwas66dz51ebPY0mmf7+5mM2JlFcsp9q+mVatfOs/qaoXr9eBVmv2l9+1638YjbHH9dqF+KucdbVsWjifTsNHEaTXUWyvY2dJDVf1SWTcwNbopJdJCCGEOK4kaBInRN3mUmqXFaCYdcTc0wOtxYCi6QmtoPzH7dRsLUOzKIWohKvQpgXj9tTQts391G6qRHV70YeH4PU6D+tcQUFJAISF9iYstLd/u6JoAgImgOTkm4/dRQpxjKybOwtrWDgJGR3RG00s/f4Tlnz5NTPffp3l/Sfx2o2D2ZRfxQ0DWtM2ytrSzRVCCCFOexI0iRNCF+kLVlSHm+L31mNoZSP84lQAQs9rQ/WKfMq+3EqU5jwsIRbCwvpgMIRhujQGABvXtVjbhTiRPn7oXlRU7GWl2EuK921VAYVKTRDRBeuICh7FF7cOaMlmCiGEEGcUCZrECaHWjx4yaHHnVuPOrUZRVQwpISgahfIfdoAK7uI6zOaOtEuf4j/WXVaHfeFeQkanoMgwJHGai0hMIi97ywEBE9Rngcw1JbDKm9QyDRNCCCHOYPIEKk6IonfW+b6p84AW0CtUryjAvmQvzt1VxNzVHQBPcS0lH2xA9ap4Hb61Z9yFNVQvz8dVXNtE7UKcPrqPvoDwuAQ0en2DfZ3sG/n9H5LpUQghhDjRJGgSJ4SpQ/j+F559X24V164qPDUuij/c6NunVajbUErBq1nkPb+MmrVF6OOs6KODULSNr7nksTtx7rUf92sQ4kSITmnDqIl3oGskaNLqdISG2Bo5SgghhBDHkwRN4oRQa9yBG7wq+rRQTO3CqF1ZiLs+6PGq+/7xola6KP1oEwDRt3dDHxXUaN32BXsoeX/DcWu7ECeaRqvF43Q12K5odexcvbIFWiSEEEKc2SRoEidEyMiG8zBce+zUbSoDsxbFqodgrX8tWm9eDQC62CC0NkOzdQePSCLq1i7HvM1CtBSTxUpq74ZrL3kcdfz65n9aoEVCCCHEmU2CJnFC6MLMRI7vELixvvep1oNa5YIqT+B+jYJtZPIh69YYtOhCTceopUKcHM6/+wFuffODBttrqyrYunQxjpqaFmiVEEIIcWaSoEmcMDWrixvdrgTpwKz1vbAekNBRrxDUOfIEtEyIk5MlNKzBNo/bzQ8vPcPPrz7P9lXLWqBVQgghxJlHgiZxwjhzqhrdrta4odYDGgWN5YDJ7w4vNasLsS/JI+/ZZagu7wlqqRAnj1E33RnwWvV66Xn+RcSmpjPj+SdxOw9v0WchhBBCHD1FVVX1RJ+0srKSkJAQKioqsNkkE9SZJPfBP/zzlg6kRJtRS+rA49tpTA/FsaU8oIy5XyxBaWGYO0rvkzgzOGpqeG3CVajewA8MbnnzAywhodRWVRJkC2mh1glxfMmzghDiZCI9TeKEqZizq9GACUAtrPUHTITqibg2A4yBb8/aJflULys4zq0U4uRhDAqi49BRGMzmgO1v3nI9r998HXs2rW+hlgkhhBBnFgmaxAlj7R+PLr6RtOFBusDX5S7fUDz3QRGWCrZzDp0YQojTSd9LrkRnMIISuE5ZbWUFs9/+L1Wljc8VFEIIIcSxI0GTOGG0QXrCLkxtuOPgNZxMCtUrCxutw11Qi7fO3eg+IU5HoTGxTHzlbc6aeHuDfTUV5aya+QPl+Xkt0DIhhBDizCFBkzihDEk2jGmhoDRTqE6l8qcdGJKC0USaUExa0CsY2oRQ+vEm8l5ccaKaK8RJwe12YQ4JQ29qmFp/2XdfMuPFJ5n3/tsAlO7N5Ztnp1JXbT/RzRRCCCFOWxI0iRNK0ShEju3Q5NwmACVYhy7ajKe0Dm9pHegUcKnoY31D+xTP/knxjj0VZM96A3v11uPddCFaTPayP/nx5WdwORrPlFeal8fONavYvGQhBduzYV9+H6/Hy4Ivt1JeIGs6CSGEEH+F7tBFhDi2DpWuUbW7cVe5MWaE4dnoRK11g1FDzcpC0IPX7sZVVIM+Koia1UUoa8Nx9MjHakk7Ie0X4kSotVexbeliOg0/i47DRrF36xbWzvkZncGI2+kIKOtx1FGyexc/vPAUAFdNfZZPH7kfl9OLRz0Hd912up89hJAoc2OnEkIIIcQhSMpxccLZF++l/LvshjuMCqgKOH09SaaOETh2VPjWcQIwaPz7dJFmYv7eE0WroHpVFE1z4/2EOPVsW76EH196hptfn4452MbL118GCrgdjkbLa/V6FEUhOCIKa1g4+dlbcB1UNr5dBldPfe5ENF+Iv0yeFYQQJxMZnidOOHPHCCyD4hvucOMPilBAdXj2B0yA1qonYkJHLAPi8NS6qPhlh6+oBEziNJTaqy93vPsp5mAbv7zxMm6ng+Dwptco87hcuJ1OyvL2sHvD2gYBE0B0Stvj2WQhhBDitCVBkzjhtDYjoWenYOoSEbjDc0Cnpwpu+76HvjADaBU8pQ5KP9+CtW8cao0bd3EtXodk0hOnL2dtDa/eOIZ182YDMHDM9aT2GXjE9ej0BoxBFtbN/ZXdG9Ye62YKIYQQpz0JmkSLUPRaQka3braMJ7/W902ZE7y+gEqtclHwahbamCDqtpThLqk73k0VokXs3bIJr9eLo6YaVJWkTt3Ytmwx5fl7jrguvclEUEQkbqeT0j05x6G1QgghxOlNgibRctwq6A/zLXjgzDuPF09+DUHdo3HsqMBjbzyjmBCnsi8e/ydv3joWW0wshqAgKosLOO+uyZQXHPmaTB6Ph7LduwCY/fbrfPXko8e6uUIIIcRpTYIm0WL00UG0enwg2mTrER2nBOlBp2BMsVH5y05ce2Q9GnF6KcvfS+vuvTFarFQW5OOqc1BekM97kycRkZB0xPU5a6r936f3G0zXs849ls0VQgghTnsSNIkWF3db96Z3ahsmeVDtLhSdBmNqGPGPDcDULvw4tk6IE8vr9fDdc0+wZ/MGgkJCUTQaVK8HVJXinJ0UbD/6Ncm0ej17t2wke8WSY9hiIYQQ4vQnQZM4KUTf0wMl1tRwh+egjPhG31tWrfNQ/u02FEUy54nTi0ajpXX3XoTHJWCyWBl6/UTCE1odfX0633J8OoORcybdy9m33knP8y46Vs0VQgghzggSNImTgiHaQkj/w3gwdHj3f7u9Aq/TcxxbJUTL6HfpGAwmM/HtMkjvN4DSPbmHPMZoDcZoDQ7YFhafiNftZtgNE5n4n7eJSWnLlj8XYouMPl5NF0IIIU5LupZugBD1rH3jQK9Q/vnhDT+KuLEjGoP2OLdKiBNvx6rl7Fi9kvaDhqF6VfQmE+ZgG5VFhU0e47BXNdgWHBFBkC2Y+R9OZ8k3X5IxaChrf/uVmooKslcs4eJ/PErb7r2P56UIIYQQpwUJmsRJxdojFkv3GKpXFlD+RfPBkzO7HFNKyAlqmRDH37v/dzNhCa245P5H2JG1gg1/zKWiMA9VVbGXle4vqCigqk1XBARHxdAqozOOGjv52Vvpdf7FrPrlBwAiE5PYu3UTIZHRuJ1OdAbD8bwsIYQQ4pQnw/PESUdRFKw9Y4mc0KnpMiF6rEMST2CrhDi+dq5eRUVJEdVlpcz/KJOq4iIc1VWU7d3DOZPuJa3PAPQmE6Gx8aCqWMMjGgzHq6cxGrGEhLDo8w/YtWYVltAwuowazTVPvIAtKoYl335BxsChzH3vLX56dVqD46tKiqkqLT7elyyEEEKcMiRoEictU1oY6DUowfoG+9QKF1VzZJFOcfrYuWYlXpcLl8PBshlfsXvDWjwuNxGJyaz59WecNTWk9e5PeUEeHYeNIjKpNa7amkbr8joc5G/bAkBxzk7C4xMpz9/LT/95jsqiAoIjYyjatQN7WQnblv2J6vUGHP/r//7D7LdeO+7XLIQQQpwqZHieOKnF3NkdbYgRjVGLfcleyr/J9u3QKWhDZEiROD3s3bqJjQvnA5DUpRsmWzB5WzZTuDObopwdqF4vA8dcT0zbNDb8MY+KwnyKdu5AazBgtVipLC5qtv6KokI++uc9aPUGNFotPc69EJ1ez5x3/gv41o4+MA/l3265E0XxfaaWv20Ljtoakjt3O/YXLoQQQpwiFFU9xMD446CyspKQkBAqKiqw2Wwn+vTiFOepcqIYtGiMkgRCnPpUVeX1m6+jtrIiYLvOaMTtcGAJC8ccHII13LceWYfBw9mydDF7N6/HHBxCye5dhzyHRqtF0Wjoef7FLP3mCwC0RiMehwOA2/73EUEhjc8P/PXNV9i1JouE9h049877/sqlCnFE5FlBCHEykeF54pSjDTZIwCROG2/cOtYfMMW2TQdFISw+gdRe/dDqdJx10x2U7t3NzqwVVBYWYLIGYy8uoq6qivKCfAwWa7P1K1otXo+H4IhoVv7wHefdeT/dz7nQHzAB/PTq800ef9ZNkzAF28jbtgW3y4XXK2n+hRBCnHlkeJ4QQrSQP7/6jJryMgDS+w2i5/mXULgjm9wNawmLS+CiyQ+T0qU7qb36ktq7PxmDhpG7aT2RSSn0Ov9SfnrteZzV9mbPEZPSmrD4RDb+MZcRE29n9rv/9fcqaQ1GPE4HcanpTR6vaDQMueYGXE4H799/JzqdjnPuvI+opJRjdh+EEEKIk50MzxNCiBaw6IuPWfzlx/7XJouVumo71zzxPFEpbdBoNWg0+3tU6+x2Pv7XPfztlrtoldGJN2+7AXtpSZP1WyOiSGifwZbFCxj/8v/YMH8ui7/4iFYdutD7wkv58eVnce5LJKE3mRn7zCuExsYB4Kip5st/P0xcWnuGXjeeGc//m51rsvC6Xb62Bts4+9a7SO3V73jcGiEAeVYQQpxcpKdJCCFaQEh0TMDrumo7nUeNpjg3h98/eheTJZi0Pv3pOHQkAHqTkaTO3dEZjAAYgyxNBk2KRkN1WQm71mSR1Kkrf3z8HrtWr2TINTcy/5PpVJUUERoTR+FOX2IVV10tZtv+OU0anQ6Txcq6334lKqUNOetWExQSgtftJrlLD7b+uYBVv/zI4i8+IaF9B0bceMvxuEVCCCHESUPmNAkhRAuoD4YAUBTMthBSe/Vjztuv0WP0hVjDwlgz5xd/Ea1OT3n+Xma+/hIvXncpJblNp9y3hIaDquJ1u8lZv4Yti//AUVPN4m8+JSQmDlddLR2G7T+/yRqMMSiIGS88xVdPPYLeYCS93yBi2qQyb/r/SGjXgYvufYge517EtmWLURXIWbOK4txdrJr5PR88+HeyVyyjZI8sAyCEEOL0JD1NQgjRQnqedzGb/1yAvaSY2soKZv3vP9z+9icYzGbS+w1sUN5ksZK7aT1el7PZeh011RiCLHQadhYF27eSu3EdAK7aWqqcTrweDyt+/I7whFaU5+dhMAexdt5sXyY+ReHn114gIjGJgu3bcDnq8LjdxLZNI7ZtGs66OtbM/hnV48HrdgNQuH0r3z77GADtBw2jxzkXEJfa7hjfLSGEEKLlyJwmIYRoQV6vh1/f/A/r580GoFWHzmQMGkZIdIx/baTfpr/J1iWLsZcWH7I+U3AwjupqwuISKN2zu9EybXv1o6KwgNqqCnpfcCm/f5SJ6vGg1esJiY6jdE8O4a2SqCwsQKPV4Kyt5abXMvnon3/HEGShuqwUV11tk2244O//IL3foCO/GUIcQJ4VhBAnExmeJ4QQLUij0dJp6Ch6X3gZUcltyN24jllvvepfeBYgMjEZY1AQIyfcccj66qqqUL3eRgOm4IhIAGoqyrjqsae5euqzdBk1GtWrEhrfCp3ewFWPPc35dz9AdHJrEtp3wON2o9HqsEVG0f/ya7CGhaM3GgkKCW2yDet+/+3Ib4QQQghxEpOgSQghWlirDp0Ycu2NjH32FS6450FGTbyda//9IgDlBflk/fIjF9//iD/bXQCNFkVp/le5Vq8HIK3PAHRGI4YgK188/i88bg+ooDcaaZWewbCxE3lr0gTa9OxDau9+lOwLvEaOv5W9Wzaye/0azME2LGHhxKW3b/J8O1YupXTvnqO8G0IIIcTJR+Y0CSHESSS9z4CA1wazmdjUdAxmM3s2rW94gNdDc2OsrZFR1FVWAlBrr8IaFkbO2lWoXi8LP/+Qoh3ZpPUZQHSbVABGTbiNDb/PYdXM72nbsy+Dr74BY1AQezZtwOvx0P/yq/npP9MIjY5FZzDidjoanLNt734ER0Qc9T0QQgghTjbS0ySEECexIFsIf7v5TjRaLe0HDT3i441BFtxOB7Ft0uh1/qWMffZVEjI60Wn4WThra6goKiQ4IoK1v/3CshlfkdixC7VVlaT2HsCoCbehaBS+fe5xCndmc9F9D2EMCiIquTWJHTvj9XgaPefF9/0LvdH0Vy9dCCGEOGlIT5MQQpwCNsyfy/wP322wvXX3Xjjs1djLSqirseOsCRzCV5KzE0WrI7lbT+a9/xadR/yN3PVrGD72FaJT2vjLGcxBBIWE8sXj/6R1994MuOJa3rjleoIjo8jftoXW3XoBEBIdy3l3TWbRFx+haDTgAV1QEKPG3UJIdCw02+8lhBBCnJoke54QQpwCvB4PW5Ys4sdXniUurT15WzYCvoVsjUEW6uxVTR6r0xsZev145r7/Fl1HjSa19wASO3ZGUZQGZYtydhJkCyHIFsLSGV8Rl9aOvVs20feiy31BkhAniDwrCCFOJtLTJIQQJ7nK4iK8bjdBNhu2yCja9R+E1+WiYMc2VK+32YAJ4IpHnyQ+rR2tu/ckyBaK3tT00LmopBT/930vvgKApI5djsl1CCGEEKcq+dhQCCFOcr9/8A6/vvkKqlelprKCee+9hccbOJ+osV6jep9PeYCq0mJComMDAqbCndv56skmsvIJIYQQwk96moQQ4iQ3csJteD0eNBoNbocDFIXiXTsCyhw80tpss1FbVUVa34GkdO6GJTSsQb1anQ69yXTIlOVCCCHEmU7mNAkhxClky58LWPDZB5Q1sw7S8BtuYtn3X2MNj+SKh5/AYDKfwBYKcWzIs4IQ4mQiHy8KIcQpJL3fIJI6dg3YZggKCni97MfvcDmdnH3rXf6AaevSRThqZBieEEIIcTQkaBJCiFNInd3O5sV/BGw7OM24vbgQh72KD/95D6tn/0xNVSU/vPQsO1evPJFNFUIIIU4bEjQJIcQpxON24aqrO7yyTgdzp/8PBbjljfdo13/Q8W2cEEIIcZqSoEkIIU4hltAwbnnz/cMqm9Z3AHe88wnmYBtBtpDj3DIhhBDi9CVBkxBCnGLM1mC6nnVuk/ujW6eS2qc/Jbm70WglSaoQQgjxV8lfUyGEOAUNGzuR9b/Pxu107t+o0XDepHtpP3BoyzVMCCGEOA1J0CSEEKcgncHAHe9+xrz33qK6ooxhN9yENTQcrU5+rQshhBDHmvx1FUKIU5ROr2fUxNtbuhlCCCHEaU/mNAkhhBBCCCFEMyRoEkIIIYQQQohmSNAkhBBCCCGEEM2QoEkIIYQQQgghmiFBkxBCCCGEEEI0Q4ImIYQQQgghhGiGBE1CCCGEEEII0QwJmoQQQgghhBCiGRI0CSGEEEIIIUQzJGgSQgghhBBCiGZI0CSEEEIIIYQQzZCgSQghhBBCCCGaoWuJk6qqCkBlZWVLnF4IIYQQJ7n6Z4T6ZwYhhGhJLRI0VVVVAZCYmNgSpxdCCCHEKaKqqoqQkJCWboYQ4gynqC3wEY7X62Xv3r0EBwejKMqJPr0QQgghTnKqqlJVVUV8fDwajcwmEEK0rBYJmoQQQgghhBDiVCEf3QghhBBCCCFEMyRoEkIIIYQQQohmSNAkhBBCCCGEEM2QoEkIIYQQQgghmiFBkxDisA0bNoy77767wfbp06cTGhoKwJQpU1AUhdGjRzco99xzz6EoCsOGDWuwLzc3F4PBQKdOnRo9t6Io/q+QkBAGDhzIb7/95t8/f/58LrjgAuLj41EUhW+//fZoLlEIIYQQogEJmoQQx1xcXBxz584lNzc3YPu7775LUlJSo8dMnz6dK6+8ksrKSpYsWdJomczMTPLy8li4cCGRkZGcf/75bN++HYDq6mq6du3Ka6+9dmwvRgghhBBnPAmahBDHXHR0NH/729947733/NsWLVpEcXEx5513XoPyqqqSmZnJ9ddfzzXXXMM777zTaL2hoaHExsbSqVMnXn/9dWpra5k1axYA55xzDk888QSXXHLJ8bkoIYQQQpyxJGgSQhwX48ePZ/r06f7X7777Ltdeey0Gg6FB2blz51JTU8OoUaO47rrr+PTTT6murm62frPZDIDT6Tym7RZCCCGEOJgETUKI4+L888+nsrKS+fPnU11dzeeff8748eMbLfvOO+9w1VVXodVq6dSpE23atOGLL75osu6amhr+9a9/odVqGTp06PG6BCGEEEIIAHQt3QAhxOlJr9dz3XXXkZmZyfbt20lPT6dLly4NypWXl/P111+zYMEC/7brrruOd955h3HjxgWUvfrqq9FqtdTW1hIVFcU777zTaJ1CCCGEEMeSBE1CiMNms9moqKhosL28vJyQkJAG28ePH0/fvn1Zt25dk71MH3/8MXV1dfTt29e/TVVVvF4vW7ZsIT093b/9xRdfZNSoUYSEhBAVFXUMrkgIIYQQ4tBkeJ4Q4rC1a9eOlStXNti+cuXKgOCmXseOHenYsSPr1q3jmmuuabTOd955h3vvvZesrCz/1+rVqxk8eDDvvvtuQNnY2FhSU1MlYBJCCCHECSU9TUKIw3bbbbfx6quvctdddzFx4kSMRiM//vgjn3zyCd9//32jx/z222+4XC7/Ok4HysrKYuXKlXz00Ue0b98+YN/VV1/N1KlTeeKJJ9DpDv2rym63s23bNv/rHTt2kJWVRXh4eJNpzoUQQgghDof0NAkhDlubNm2YP38+mzZtYtSoUfTt25fPP/+cL774otHFbAEsFkujARP4epk6dOjQIGACuOSSSygsLOSnn346rLYtX76c7t270717dwDuueceunfvziOPPHJ4FyeEEEII0QRFVVW1pRshhBBCCCGEECcr6WkSQgghxP+3XwcCAAAAAIL8rTeYoCwCYEgTAADAkCYAAIAhTQAAAEOaAAAAhjQBAAAMaQIAABjSBAAAMKQJAABgSBMAAMCQJgAAgCFNAAAAI1cM3Ssy7ODEAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 727.8x1440 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sc.pl.umap(adata, color = ['AIFI_L1', 'AIFI_L2', 'AIFI_L3'], ncols = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "e11f0c47-123c-41e8-a509-37322a3e708e",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.10/site-packages/scanpy/plotting/_tools/scatterplots.py:394: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored\n",
      "  cax = scatter(\n",
      "/opt/conda/lib/python3.10/site-packages/scanpy/plotting/_tools/scatterplots.py:394: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored\n",
      "  cax = scatter(\n",
      "/opt/conda/lib/python3.10/site-packages/scanpy/plotting/_tools/scatterplots.py:394: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored\n",
      "  cax = scatter(\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 727.8x1440 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sc.pl.umap(adata, \n",
    "           color = ['leiden_resolution_1',\n",
    "                    'leiden_resolution_1.5',\n",
    "                    'leiden_resolution_2'],\n",
    "           ncols = 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8f032bd8-6f5c-413b-8d78-f1bf76ed4001",
   "metadata": {},
   "source": [
    "## Output final annotations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "23d80b5b-2f3d-4983-96b2-b3342ca14c36",
   "metadata": {},
   "outputs": [],
   "source": [
    "obs = adata.obs\n",
    "obs = obs.reset_index(drop = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "ba825afe-9d20-47b7-beec-62727db510f4",
   "metadata": {},
   "outputs": [],
   "source": [
    "umap_mat = adata.obsm['X_umap']\n",
    "umap_df = pd.DataFrame(umap_mat, columns = ['umap_1', 'umap_2'])\n",
    "obs['umap_1'] = umap_df['umap_1']\n",
    "obs['umap_2'] = umap_df['umap_2']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "d8c9ad3a-3a43-4ce6-bb58-d4ce1006e2ad",
   "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>barcodes</th>\n",
       "      <th>batch_id</th>\n",
       "      <th>cell_name</th>\n",
       "      <th>cell_uuid</th>\n",
       "      <th>chip_id</th>\n",
       "      <th>hto_barcode</th>\n",
       "      <th>hto_category</th>\n",
       "      <th>n_genes</th>\n",
       "      <th>n_mito_umis</th>\n",
       "      <th>n_reads</th>\n",
       "      <th>...</th>\n",
       "      <th>leiden_resolution_1.5</th>\n",
       "      <th>leiden_resolution_2</th>\n",
       "      <th>AIFI_L3</th>\n",
       "      <th>AIFI_L1</th>\n",
       "      <th>AIFI_L1_Final</th>\n",
       "      <th>AIFI_L2</th>\n",
       "      <th>AIFI_L2_Final</th>\n",
       "      <th>AIFI_L3_Final</th>\n",
       "      <th>umap_1</th>\n",
       "      <th>umap_2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>cf7341b848b611ea8957bafe6d70929e</td>\n",
       "      <td>B001</td>\n",
       "      <td>chalky_guileless_waterdogs</td>\n",
       "      <td>cf7341b848b611ea8957bafe6d70929e</td>\n",
       "      <td>B001-P1C1</td>\n",
       "      <td>TGATGGCCTATTGGG</td>\n",
       "      <td>singlet</td>\n",
       "      <td>1482</td>\n",
       "      <td>176</td>\n",
       "      <td>17043</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>13</td>\n",
       "      <td>T+Erythocytes doublet</td>\n",
       "      <td>T+Erythocytes doublet</td>\n",
       "      <td>Yes</td>\n",
       "      <td>T+Erythocytes doublet</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>-2.371720</td>\n",
       "      <td>1.574610</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>cf7400bc48b611ea8957bafe6d70929e</td>\n",
       "      <td>B001</td>\n",
       "      <td>illadvised_cogitative_bluejay</td>\n",
       "      <td>cf7400bc48b611ea8957bafe6d70929e</td>\n",
       "      <td>B001-P1C1</td>\n",
       "      <td>TGATGGCCTATTGGG</td>\n",
       "      <td>singlet</td>\n",
       "      <td>1089</td>\n",
       "      <td>62</td>\n",
       "      <td>12523</td>\n",
       "      <td>...</td>\n",
       "      <td>12</td>\n",
       "      <td>14</td>\n",
       "      <td>Monocytes+Erythocytes doublet</td>\n",
       "      <td>Monocytes+Erythocytes doublet</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Monocytes+Erythocytes doublet</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>7.942333</td>\n",
       "      <td>-5.333513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>cf763b8448b611ea8957bafe6d70929e</td>\n",
       "      <td>B001</td>\n",
       "      <td>tricksome_sombrous_cats</td>\n",
       "      <td>cf763b8448b611ea8957bafe6d70929e</td>\n",
       "      <td>B001-P1C1</td>\n",
       "      <td>TGATGGCCTATTGGG</td>\n",
       "      <td>singlet</td>\n",
       "      <td>1146</td>\n",
       "      <td>89</td>\n",
       "      <td>11185</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>T+Erythocytes doublet</td>\n",
       "      <td>T+Erythocytes doublet</td>\n",
       "      <td>Yes</td>\n",
       "      <td>T+Erythocytes doublet</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>-0.506895</td>\n",
       "      <td>2.742198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>cf76501a48b611ea8957bafe6d70929e</td>\n",
       "      <td>B001</td>\n",
       "      <td>pensive_queasy_tadpole</td>\n",
       "      <td>cf76501a48b611ea8957bafe6d70929e</td>\n",
       "      <td>B001-P1C1</td>\n",
       "      <td>TGATGGCCTATTGGG</td>\n",
       "      <td>singlet</td>\n",
       "      <td>1994</td>\n",
       "      <td>108</td>\n",
       "      <td>22387</td>\n",
       "      <td>...</td>\n",
       "      <td>11</td>\n",
       "      <td>8</td>\n",
       "      <td>CMP cell</td>\n",
       "      <td>Progenitor cell</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Progenitor cell</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>12.154108</td>\n",
       "      <td>9.127453</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>cf83c0ba48b611ea8957bafe6d70929e</td>\n",
       "      <td>B001</td>\n",
       "      <td>sodalite_foreign_puffin</td>\n",
       "      <td>cf83c0ba48b611ea8957bafe6d70929e</td>\n",
       "      <td>B001-P1C1</td>\n",
       "      <td>TGATGGCCTATTGGG</td>\n",
       "      <td>singlet</td>\n",
       "      <td>841</td>\n",
       "      <td>44</td>\n",
       "      <td>7236</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>19</td>\n",
       "      <td>T+Erythocytes doublet</td>\n",
       "      <td>T+Erythocytes doublet</td>\n",
       "      <td>Yes</td>\n",
       "      <td>T+Erythocytes doublet</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>-0.071208</td>\n",
       "      <td>2.975142</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 61 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                           barcodes batch_id                      cell_name  \\\n",
       "0  cf7341b848b611ea8957bafe6d70929e     B001     chalky_guileless_waterdogs   \n",
       "1  cf7400bc48b611ea8957bafe6d70929e     B001  illadvised_cogitative_bluejay   \n",
       "2  cf763b8448b611ea8957bafe6d70929e     B001        tricksome_sombrous_cats   \n",
       "3  cf76501a48b611ea8957bafe6d70929e     B001         pensive_queasy_tadpole   \n",
       "4  cf83c0ba48b611ea8957bafe6d70929e     B001        sodalite_foreign_puffin   \n",
       "\n",
       "                          cell_uuid    chip_id      hto_barcode hto_category  \\\n",
       "0  cf7341b848b611ea8957bafe6d70929e  B001-P1C1  TGATGGCCTATTGGG      singlet   \n",
       "1  cf7400bc48b611ea8957bafe6d70929e  B001-P1C1  TGATGGCCTATTGGG      singlet   \n",
       "2  cf763b8448b611ea8957bafe6d70929e  B001-P1C1  TGATGGCCTATTGGG      singlet   \n",
       "3  cf76501a48b611ea8957bafe6d70929e  B001-P1C1  TGATGGCCTATTGGG      singlet   \n",
       "4  cf83c0ba48b611ea8957bafe6d70929e  B001-P1C1  TGATGGCCTATTGGG      singlet   \n",
       "\n",
       "   n_genes  n_mito_umis  n_reads  ...  leiden_resolution_1.5  \\\n",
       "0     1482          176    17043  ...                      2   \n",
       "1     1089           62    12523  ...                     12   \n",
       "2     1146           89    11185  ...                      1   \n",
       "3     1994          108    22387  ...                     11   \n",
       "4      841           44     7236  ...                      1   \n",
       "\n",
       "  leiden_resolution_2                        AIFI_L3  \\\n",
       "0                  13          T+Erythocytes doublet   \n",
       "1                  14  Monocytes+Erythocytes doublet   \n",
       "2                   1          T+Erythocytes doublet   \n",
       "3                   8                       CMP cell   \n",
       "4                  19          T+Erythocytes doublet   \n",
       "\n",
       "                         AIFI_L1 AIFI_L1_Final                        AIFI_L2  \\\n",
       "0          T+Erythocytes doublet           Yes          T+Erythocytes doublet   \n",
       "1  Monocytes+Erythocytes doublet           Yes  Monocytes+Erythocytes doublet   \n",
       "2          T+Erythocytes doublet           Yes          T+Erythocytes doublet   \n",
       "3                Progenitor cell           Yes                Progenitor cell   \n",
       "4          T+Erythocytes doublet           Yes          T+Erythocytes doublet   \n",
       "\n",
       "  AIFI_L2_Final AIFI_L3_Final     umap_1    umap_2  \n",
       "0           Yes           Yes  -2.371720  1.574610  \n",
       "1           Yes           Yes   7.942333 -5.333513  \n",
       "2           Yes           Yes  -0.506895  2.742198  \n",
       "3           Yes           Yes  12.154108  9.127453  \n",
       "4           Yes           Yes  -0.071208  2.975142  \n",
       "\n",
       "[5 rows x 61 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "obs.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "93e97186-98d3-404d-8a76-92180de4e4be",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "out_dir = 'output'\n",
    "if not os.path.isdir(out_dir):\n",
    "    os.makedirs(out_dir)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "4fe1a9cb-d4cf-4afe-83b6-8a3496b62852",
   "metadata": {},
   "outputs": [],
   "source": [
    "obs_out_csv = '{p}/ref_pbmc_{c}_labeled_meta_umap_{d}.csv'.format(p = out_dir, c = cell_class, d = date.today())\n",
    "obs.to_csv(obs_out_csv, index = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "77f8c348-5dd7-4421-b352-72502cb02285",
   "metadata": {},
   "outputs": [],
   "source": [
    "obs_out_parquet = '{p}/ref_pbmc_{c}_labeled_meta_umap_{d}.parquet'.format(p = out_dir, c = cell_class, d = date.today())\n",
    "obs.to_parquet(obs_out_parquet, index = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "163f9412-74d1-4c81-a438-db590080c363",
   "metadata": {},
   "outputs": [],
   "source": [
    "bc_anno = obs[['barcodes', 'AIFI_L1', 'AIFI_L2', 'AIFI_L3']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "bb378d39-f2b3-4e52-99ab-737e2b829465",
   "metadata": {},
   "outputs": [],
   "source": [
    "label_out_csv = '{p}/ref_pbmc_{c}_barcode_labels_{d}.csv'.format(p = out_dir, c = cell_class, d = date.today())\n",
    "bc_anno.to_csv(label_out_csv, index = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "bad2e598-882b-47e6-bc37-691eb24cfd13",
   "metadata": {},
   "outputs": [],
   "source": [
    "label_out_parquet = '{p}/ref_pbmc_{c}_barcode_labels_{d}.parquet'.format(p = out_dir, c = cell_class, d = date.today())\n",
    "bc_anno.to_parquet(label_out_parquet, index = False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b6d16266-ddf0-4ecf-bd36-c3580128cc57",
   "metadata": {},
   "source": [
    "## Upload annotations to HISE\n",
    "\n",
    "Finally, we'll use `hisepy.upload.upload_files()` to send a copy of our output to HISE to use for downstream analysis steps."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "f5820ec5-3bcc-4ace-ba9a-7a42156912b4",
   "metadata": {},
   "outputs": [],
   "source": [
    "study_space_uuid = '64097865-486d-43b3-8f94-74994e0a72e0'\n",
    "title = 'Other barcode annotations {d}'.format(d = date.today())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "ca4fb9ef-2369-4572-a252-8ef20f296497",
   "metadata": {},
   "outputs": [],
   "source": [
    "in_files = [h5ad_uuid, anno_uuid]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "2fd4b620-19af-4d21-b38f-f9608c719ff5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['1eb6ca8c-b8ed-4968-b515-c954497441dc',\n",
       " '03817547-e2e3-412b-b36e-538d2bc74c87']"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "in_files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "35068d77-8dd5-408c-bc03-93da1f4ac6a0",
   "metadata": {},
   "outputs": [],
   "source": [
    "out_files = [obs_out_csv, obs_out_parquet,\n",
    "             label_out_csv, label_out_parquet]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "d43b510e-c7a0-4344-8550-2906b144eebc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['output/ref_pbmc_other_labeled_meta_umap_2024-03-01.csv',\n",
       " 'output/ref_pbmc_other_labeled_meta_umap_2024-03-01.parquet',\n",
       " 'output/ref_pbmc_other_barcode_labels_2024-03-01.csv',\n",
       " 'output/ref_pbmc_other_barcode_labels_2024-03-01.parquet']"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "out_files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "a12e6ddf-a7c2-4201-9f71-e0bb074de3ff",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cannot determine the current notebook.\n",
      "1) /home/jupyter/scRNA-Reference-IH-A/05-Assembly/20-Python_assign_Other_cells.ipynb\n",
      "2) /home/jupyter/scRNA-Reference-IH-A/05-Assembly/19-Python_assign_NK_cells.ipynb\n",
      "3) /home/jupyter/scRNA-Reference-IH-A/05-Assembly/18-Python_assign_Myeloid_cells.ipynb\n",
      "Please select (1-3) \n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      " 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "you are trying to upload file_ids... ['output/ref_pbmc_other_labeled_meta_umap_2024-03-01.csv', 'output/ref_pbmc_other_labeled_meta_umap_2024-03-01.parquet', 'output/ref_pbmc_other_barcode_labels_2024-03-01.csv', 'output/ref_pbmc_other_barcode_labels_2024-03-01.parquet']. Do you truly want to proceed?\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "(y/n) y\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'trace_id': '9661fa36-3916-41ca-b413-5660c8461106',\n",
       " 'files': ['output/ref_pbmc_other_labeled_meta_umap_2024-03-01.csv',\n",
       "  'output/ref_pbmc_other_labeled_meta_umap_2024-03-01.parquet',\n",
       "  'output/ref_pbmc_other_barcode_labels_2024-03-01.csv',\n",
       "  'output/ref_pbmc_other_barcode_labels_2024-03-01.parquet']}"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hisepy.upload.upload_files(\n",
    "    files = out_files,\n",
    "    study_space_id = study_space_uuid,\n",
    "    title = title,\n",
    "    input_file_ids = in_files\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "98e29ac0-8e4e-471c-b423-22f3586079ea",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<details>\n",
       "<summary>Click to view session information</summary>\n",
       "<pre>\n",
       "-----\n",
       "anndata             0.10.3\n",
       "hisepy              0.3.0\n",
       "pandas              2.1.4\n",
       "scanpy              1.9.6\n",
       "session_info        1.0.0\n",
       "-----\n",
       "</pre>\n",
       "<details>\n",
       "<summary>Click to view modules imported as dependencies</summary>\n",
       "<pre>\n",
       "PIL                         10.0.1\n",
       "anyio                       NA\n",
       "arrow                       1.3.0\n",
       "asttokens                   NA\n",
       "attr                        23.2.0\n",
       "attrs                       23.2.0\n",
       "babel                       2.14.0\n",
       "beatrix_jupyterlab          NA\n",
       "brotli                      NA\n",
       "cachetools                  5.3.1\n",
       "certifi                     2023.11.17\n",
       "cffi                        1.16.0\n",
       "charset_normalizer          3.3.2\n",
       "cloudpickle                 2.2.1\n",
       "colorama                    0.4.6\n",
       "comm                        0.1.4\n",
       "cryptography                41.0.7\n",
       "cycler                      0.10.0\n",
       "cython_runtime              NA\n",
       "dateutil                    2.8.2\n",
       "db_dtypes                   1.1.1\n",
       "debugpy                     1.8.0\n",
       "decorator                   5.1.1\n",
       "defusedxml                  0.7.1\n",
       "deprecated                  1.2.14\n",
       "exceptiongroup              1.2.0\n",
       "executing                   2.0.1\n",
       "fastjsonschema              NA\n",
       "fqdn                        NA\n",
       "google                      NA\n",
       "greenlet                    2.0.2\n",
       "grpc                        1.58.0\n",
       "grpc_status                 NA\n",
       "h5py                        3.10.0\n",
       "idna                        3.6\n",
       "igraph                      0.10.8\n",
       "importlib_metadata          NA\n",
       "ipykernel                   6.28.0\n",
       "ipython_genutils            0.2.0\n",
       "ipywidgets                  8.1.1\n",
       "isoduration                 NA\n",
       "jedi                        0.19.1\n",
       "jinja2                      3.1.2\n",
       "joblib                      1.3.2\n",
       "json5                       NA\n",
       "jsonpointer                 2.4\n",
       "jsonschema                  4.20.0\n",
       "jsonschema_specifications   NA\n",
       "jupyter_events              0.9.0\n",
       "jupyter_server              2.12.1\n",
       "jupyterlab_server           2.25.2\n",
       "jwt                         2.8.0\n",
       "kiwisolver                  1.4.5\n",
       "leidenalg                   0.10.1\n",
       "llvmlite                    0.41.0\n",
       "lz4                         4.3.2\n",
       "markupsafe                  2.1.3\n",
       "matplotlib                  3.8.0\n",
       "matplotlib_inline           0.1.6\n",
       "mpl_toolkits                NA\n",
       "mpmath                      1.3.0\n",
       "natsort                     8.4.0\n",
       "nbformat                    5.9.2\n",
       "numba                       0.58.0\n",
       "numpy                       1.24.0\n",
       "opentelemetry               NA\n",
       "overrides                   NA\n",
       "packaging                   23.2\n",
       "parso                       0.8.3\n",
       "pexpect                     4.8.0\n",
       "pickleshare                 0.7.5\n",
       "pkg_resources               NA\n",
       "platformdirs                4.1.0\n",
       "plotly                      5.18.0\n",
       "prettytable                 3.9.0\n",
       "prometheus_client           NA\n",
       "prompt_toolkit              3.0.42\n",
       "proto                       NA\n",
       "psutil                      NA\n",
       "ptyprocess                  0.7.0\n",
       "pure_eval                   0.2.2\n",
       "pyarrow                     13.0.0\n",
       "pydev_ipython               NA\n",
       "pydevconsole                NA\n",
       "pydevd                      2.9.5\n",
       "pydevd_file_utils           NA\n",
       "pydevd_plugins              NA\n",
       "pydevd_tracing              NA\n",
       "pygments                    2.17.2\n",
       "pynvml                      NA\n",
       "pyparsing                   3.1.1\n",
       "pyreadr                     0.5.0\n",
       "pythonjsonlogger            NA\n",
       "pytz                        2023.3.post1\n",
       "referencing                 NA\n",
       "requests                    2.31.0\n",
       "rfc3339_validator           0.1.4\n",
       "rfc3986_validator           0.1.1\n",
       "rpds                        NA\n",
       "scipy                       1.11.4\n",
       "send2trash                  NA\n",
       "shapely                     1.8.5.post1\n",
       "six                         1.16.0\n",
       "sklearn                     1.3.2\n",
       "sniffio                     1.3.0\n",
       "socks                       1.7.1\n",
       "sql                         NA\n",
       "sqlalchemy                  2.0.21\n",
       "sqlparse                    0.4.4\n",
       "stack_data                  0.6.2\n",
       "sympy                       1.12\n",
       "termcolor                   NA\n",
       "texttable                   1.7.0\n",
       "threadpoolctl               3.2.0\n",
       "torch                       2.1.2+cu121\n",
       "torchgen                    NA\n",
       "tornado                     6.3.3\n",
       "tqdm                        4.66.1\n",
       "traitlets                   5.9.0\n",
       "typing_extensions           NA\n",
       "uri_template                NA\n",
       "urllib3                     1.26.18\n",
       "wcwidth                     0.2.12\n",
       "webcolors                   1.13\n",
       "websocket                   1.7.0\n",
       "wrapt                       1.15.0\n",
       "xarray                      2023.12.0\n",
       "yaml                        6.0.1\n",
       "zipp                        NA\n",
       "zmq                         25.1.2\n",
       "zoneinfo                    NA\n",
       "zstandard                   0.22.0\n",
       "</pre>\n",
       "</details> <!-- seems like this ends pre, so might as well be explicit -->\n",
       "<pre>\n",
       "-----\n",
       "IPython             8.19.0\n",
       "jupyter_client      8.6.0\n",
       "jupyter_core        5.6.1\n",
       "jupyterlab          4.0.10\n",
       "notebook            6.5.4\n",
       "-----\n",
       "Python 3.10.13 | packaged by conda-forge | (main, Dec 23 2023, 15:36:39) [GCC 12.3.0]\n",
       "Linux-5.15.0-1052-gcp-x86_64-with-glibc2.31\n",
       "-----\n",
       "Session information updated at 2024-03-01 01:56\n",
       "</pre>\n",
       "</details>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import session_info\n",
    "session_info.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "745a1242-5e2b-47c9-8c36-078becb07f4e",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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