diff --git a/Musee/1_Descriptive_Statistics_Museum.ipynb b/Musee/1_Descriptive_Statistics_Museum.ipynb
index d29c48c..58a2146 100644
--- a/Musee/1_Descriptive_Statistics_Museum.ipynb
+++ b/Musee/1_Descriptive_Statistics_Museum.ipynb
@@ -3271,7 +3271,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 7,
    "id": "06137694-7f50-47ba-8749-68471ececc1e",
    "metadata": {},
    "outputs": [
@@ -3283,28 +3283,38 @@
      ]
     },
     {
-     "ename": "PermissionError",
-     "evalue": "Forbidden",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mClientError\u001b[0m                               Traceback (most recent call last)",
-      "File \u001b[0;32m/opt/mamba/lib/python3.11/site-packages/s3fs/core.py:529\u001b[0m, in \u001b[0;36mS3FileSystem.info\u001b[0;34m(self, path, version_id, refresh)\u001b[0m\n\u001b[1;32m    528\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 529\u001b[0m     out \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_call_s3\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43ms3\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mhead_object\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mBucket\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mbucket\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    530\u001b[0m \u001b[43m                        \u001b[49m\u001b[43mKey\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mkey\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mversion_id_kw\u001b[49m\u001b[43m(\u001b[49m\u001b[43mversion_id\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mreq_kw\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    531\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m {\n\u001b[1;32m    532\u001b[0m         \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mETag\u001b[39m\u001b[38;5;124m'\u001b[39m: out[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mETag\u001b[39m\u001b[38;5;124m'\u001b[39m],\n\u001b[1;32m    533\u001b[0m         \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mKey\u001b[39m\u001b[38;5;124m'\u001b[39m: \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m/\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;241m.\u001b[39mjoin([bucket, key]),\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    540\u001b[0m         \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mVersionId\u001b[39m\u001b[38;5;124m'\u001b[39m: out\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mVersionId\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m    541\u001b[0m     }\n",
-      "File \u001b[0;32m/opt/mamba/lib/python3.11/site-packages/s3fs/core.py:200\u001b[0m, in \u001b[0;36mS3FileSystem._call_s3\u001b[0;34m(self, method, *akwarglist, **kwargs)\u001b[0m\n\u001b[1;32m    198\u001b[0m additional_kwargs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_get_s3_method_kwargs(method, \u001b[38;5;241m*\u001b[39makwarglist,\n\u001b[1;32m    199\u001b[0m                                                \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m--> 200\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mmethod\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43madditional_kwargs\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m/opt/mamba/lib/python3.11/site-packages/botocore/client.py:553\u001b[0m, in \u001b[0;36mClientCreator._create_api_method.<locals>._api_call\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    552\u001b[0m \u001b[38;5;66;03m# The \"self\" in this scope is referring to the BaseClient.\u001b[39;00m\n\u001b[0;32m--> 553\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_make_api_call\u001b[49m\u001b[43m(\u001b[49m\u001b[43moperation_name\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m/opt/mamba/lib/python3.11/site-packages/botocore/client.py:1009\u001b[0m, in \u001b[0;36mBaseClient._make_api_call\u001b[0;34m(self, operation_name, api_params)\u001b[0m\n\u001b[1;32m   1008\u001b[0m     error_class \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mexceptions\u001b[38;5;241m.\u001b[39mfrom_code(error_code)\n\u001b[0;32m-> 1009\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m error_class(parsed_response, operation_name)\n\u001b[1;32m   1010\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n",
-      "\u001b[0;31mClientError\u001b[0m: An error occurred (403) when calling the HeadObject operation: Forbidden",
-      "\nDuring handling of the above exception, another exception occurred:\n",
-      "\u001b[0;31mPermissionError\u001b[0m                           Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[9], line 4\u001b[0m\n\u001b[1;32m      2\u001b[0m company_number \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m101\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m      3\u001b[0m nom_dataframe \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mdf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;241m+\u001b[39m company_number \u001b[38;5;241m+\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m_tickets\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[0;32m----> 4\u001b[0m purchases \u001b[38;5;241m=\u001b[39m \u001b[43mdisplay_databases\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcompany_number\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfile_name\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mproducts_purchased_reduced\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdatetime_col\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mpurchase_date\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m      5\u001b[0m purchases_1 \u001b[38;5;241m=\u001b[39m display_databases(company_number, file_name \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mproducts_purchased_reduced_1\u001b[39m\u001b[38;5;124m'\u001b[39m, datetime_col \u001b[38;5;241m=\u001b[39m [\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mpurchase_date\u001b[39m\u001b[38;5;124m'\u001b[39m])\n\u001b[1;32m      6\u001b[0m campaigns \u001b[38;5;241m=\u001b[39m display_databases(company_number,\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mcampaigns_information\u001b[39m\u001b[38;5;124m'\u001b[39m, [\u001b[38;5;124m'\u001b[39m\u001b[38;5;124msent_at\u001b[39m\u001b[38;5;124m'\u001b[39m])\n",
-      "File \u001b[0;32m<string>:12\u001b[0m, in \u001b[0;36mdisplay_databases\u001b[0;34m(directory_path, file_name, datetime_col)\u001b[0m\n",
-      "File \u001b[0;32m/opt/mamba/lib/python3.11/site-packages/fsspec/spec.py:1295\u001b[0m, in \u001b[0;36mAbstractFileSystem.open\u001b[0;34m(self, path, mode, block_size, cache_options, compression, **kwargs)\u001b[0m\n\u001b[1;32m   1293\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m   1294\u001b[0m     ac \u001b[38;5;241m=\u001b[39m kwargs\u001b[38;5;241m.\u001b[39mpop(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mautocommit\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_intrans)\n\u001b[0;32m-> 1295\u001b[0m     f \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_open\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m   1296\u001b[0m \u001b[43m        \u001b[49m\u001b[43mpath\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1297\u001b[0m \u001b[43m        \u001b[49m\u001b[43mmode\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1298\u001b[0m \u001b[43m        \u001b[49m\u001b[43mblock_size\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mblock_size\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1299\u001b[0m \u001b[43m        \u001b[49m\u001b[43mautocommit\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mac\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1300\u001b[0m \u001b[43m        \u001b[49m\u001b[43mcache_options\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcache_options\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1301\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1302\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1303\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m compression \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m   1304\u001b[0m         \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mfsspec\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcompression\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m compr\n",
-      "File \u001b[0;32m/opt/mamba/lib/python3.11/site-packages/s3fs/core.py:375\u001b[0m, in \u001b[0;36mS3FileSystem._open\u001b[0;34m(self, path, mode, block_size, acl, version_id, fill_cache, cache_type, autocommit, requester_pays, **kwargs)\u001b[0m\n\u001b[1;32m    372\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m cache_type \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m    373\u001b[0m     cache_type \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdefault_cache_type\n\u001b[0;32m--> 375\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mS3File\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpath\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mblock_size\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mblock_size\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43macl\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43macl\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    376\u001b[0m \u001b[43m              \u001b[49m\u001b[43mversion_id\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mversion_id\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfill_cache\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfill_cache\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    377\u001b[0m \u001b[43m              \u001b[49m\u001b[43ms3_additional_kwargs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mkw\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcache_type\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcache_type\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    378\u001b[0m \u001b[43m              \u001b[49m\u001b[43mautocommit\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mautocommit\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrequester_pays\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrequester_pays\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m/opt/mamba/lib/python3.11/site-packages/s3fs/core.py:1096\u001b[0m, in \u001b[0;36mS3File.__init__\u001b[0;34m(self, s3, path, mode, block_size, acl, version_id, fill_cache, s3_additional_kwargs, autocommit, cache_type, requester_pays)\u001b[0m\n\u001b[1;32m   1094\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39ms3_additional_kwargs \u001b[38;5;241m=\u001b[39m s3_additional_kwargs \u001b[38;5;129;01mor\u001b[39;00m {}\n\u001b[1;32m   1095\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mreq_kw \u001b[38;5;241m=\u001b[39m {\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mRequestPayer\u001b[39m\u001b[38;5;124m'\u001b[39m: \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mrequester\u001b[39m\u001b[38;5;124m'\u001b[39m} \u001b[38;5;28;01mif\u001b[39;00m requester_pays \u001b[38;5;28;01melse\u001b[39;00m {}\n\u001b[0;32m-> 1096\u001b[0m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[38;5;21;43m__init__\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43ms3\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpath\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mblock_size\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mautocommit\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mautocommit\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1097\u001b[0m \u001b[43m                 \u001b[49m\u001b[43mcache_type\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcache_type\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1098\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39ms3 \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfs  \u001b[38;5;66;03m# compatibility\u001b[39;00m\n\u001b[1;32m   1099\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mwritable():\n",
-      "File \u001b[0;32m/opt/mamba/lib/python3.11/site-packages/fsspec/spec.py:1651\u001b[0m, in \u001b[0;36mAbstractBufferedFile.__init__\u001b[0;34m(self, fs, path, mode, block_size, autocommit, cache_type, cache_options, size, **kwargs)\u001b[0m\n\u001b[1;32m   1649\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msize \u001b[38;5;241m=\u001b[39m size\n\u001b[1;32m   1650\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 1651\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msize \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdetails\u001b[49m[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msize\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n\u001b[1;32m   1652\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcache \u001b[38;5;241m=\u001b[39m caches[cache_type](\n\u001b[1;32m   1653\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mblocksize, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_fetch_range, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msize, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mcache_options\n\u001b[1;32m   1654\u001b[0m     )\n\u001b[1;32m   1655\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n",
-      "File \u001b[0;32m/opt/mamba/lib/python3.11/site-packages/fsspec/spec.py:1664\u001b[0m, in \u001b[0;36mAbstractBufferedFile.details\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1661\u001b[0m \u001b[38;5;129m@property\u001b[39m\n\u001b[1;32m   1662\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mdetails\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[1;32m   1663\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_details \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m-> 1664\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_details \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43minfo\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpath\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1665\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_details\n",
-      "File \u001b[0;32m/opt/mamba/lib/python3.11/site-packages/s3fs/core.py:548\u001b[0m, in \u001b[0;36mS3FileSystem.info\u001b[0;34m(self, path, version_id, refresh)\u001b[0m\n\u001b[1;32m    546\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28msuper\u001b[39m(S3FileSystem, \u001b[38;5;28mself\u001b[39m)\u001b[38;5;241m.\u001b[39minfo(path)\n\u001b[1;32m    547\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 548\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m ee\n\u001b[1;32m    549\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m ParamValidationError \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m    550\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mFailed to head path \u001b[39m\u001b[38;5;132;01m%r\u001b[39;00m\u001b[38;5;124m: \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m'\u001b[39m \u001b[38;5;241m%\u001b[39m (path, e))\n",
-      "\u001b[0;31mPermissionError\u001b[0m: Forbidden"
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "<string>:13: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "File path :  projet-bdc2324-team1/0_Input/Company_101/products_purchased_reduced_1.csv\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "<string>:13: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "File path :  projet-bdc2324-team1/0_Input/Company_101/campaigns_information.csv\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "<string>:13: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n"
      ]
     }
    ],
@@ -3319,7 +3329,56 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 11,
+   "id": "d076ee62-2d87-48ad-b2c8-0b1704504b7d",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Nombre de doublons: 9999540\n",
+      "Nombre de non-doublons: 12451096\n"
+     ]
+    }
+   ],
+   "source": [
+    "purchases = pd.concat([purchases, purchases_1])\n",
+    "\n",
+    "# Comptage des doublons\n",
+    "nb_doublons = purchases_all.duplicated().sum()\n",
+    "\n",
+    "# Comptage des non-doublons\n",
+    "nb_non_doublons = len(purchases_all) - nb_doublons\n",
+    "\n",
+    "print(\"Nombre de doublons:\", nb_doublons)\n",
+    "print(\"Nombre de non-doublons:\", nb_non_doublons)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "3da0f4ff-2a66-4037-a491-66e4585ef6ab",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "12450636"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(purchases)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
    "id": "e6b962d4-1a30-4133-ac0f-359f7afef42c",
    "metadata": {},
    "outputs": [],
@@ -3346,7 +3405,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 13,
    "id": "9c56e5ac-cbf4-4343-80ba-be2ab8b60eab",
    "metadata": {},
    "outputs": [],
@@ -3367,13 +3426,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 16,
    "id": "8c1aed44-03d3-49f9-b96c-b06a0df03dde",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -3404,7 +3463,7 @@
     "# Ajout de titres et d'étiquettes\n",
     "plt.xlabel('Mois')\n",
     "plt.ylabel(\"Nombre d'achats\")\n",
-    "plt.title(\"Nombre d'achats - MUCEM\")\n",
+    "plt.title(\"Nombre d'achats - 101\")\n",
     "plt.legend()\n",
     "\n",
     "# Affichage du barplot\n",
@@ -3413,13 +3472,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 15,
    "id": "d312276c-4c46-4d29-b6d6-ed110f59890d",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAosAAAHGCAYAAAAcxME4AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8g+/7EAAAACXBIWXMAAA9hAAAPYQGoP6dpAACCx0lEQVR4nO3dd1gUV/s38O9KWYqwgnRFwahYAAsaRZLYFRXUmMSCotgTVEKEGE2iYhJ7TfSxxFhjweSxPLYgVgyKiij2FoM1IEYQFJF63j98mZ8LLC7LwqJ+P9e11yVn7p25Z/bs7O2ZJhNCCBARERERFaOKrhMgIiIiosqLxSIRERERqcRikYiIiIhUYrFIRERERCqxWCQiIiIilVgsEhEREZFKLBaJiIiISCUWi0RERESkEotFIiIiIlKJxSIRvdG+/vpr2Nra4ubNm7pOhYj+v3379sHAwAA7duzQdSqkhnIvFteuXQuZTAYjIyPcvn27yPR27drB1dW1vNMoVkBAAKpWraqTZb+KTCZDWFhYhS6zXbt2aNeuXYXnsXfv3gpf1/K2dOlSrF27VtdpvPHCwsIgk8lUTv/jjz+wZMkS7N69G++8804FZlayf/75B2FhYYiPjy8y7VXrpIo296WXL19GWFgYbt26pZX5VTaF92tHjhyBTCbTeH0XL16MunXrwtDQEDKZDI8fPwYAfPvtt6hVqxb09fVRrVq1Muddknbt2iEgIKBcl6Et9+7dw6BBg/Djjz+id+/eGs3j1q1bkMlk3M9qoKAuK40KG1nMysrCt99+W1GLIy2JiYnBiBEjynUZe/fuxbRp08p1GRWNxaLu3b17F0OHDsWWLVvQsmVLXaej5J9//sG0adOKLRZHjBiBmJiYik/qJZcvX8a0adPe2GJRm+Lj4xEUFIT27dvj0KFDiImJgZmZGf73v/9h+vTpGDx4MKKionDgwAFdp1op5Obmol+/fhg1ahQCAwN1nQ6pSb+iFuTt7Y1NmzYhNDQUTZo0qajFlhshBJ4/fw5jY2Ndp1KuWrduresUiDTi6OiIpKQkXadRajVr1kTNmjV1ncZrLScnBzKZDPr65f8Td+nSJQDAyJEj8e6770rtFy9eBAAEBQXBxsamxHlkZma+8b8lBfT19XHs2DFdp6F1z549g4mJia7TKDcVNrI4YcIEVK9eHV999dUrY58/f45JkybB2dkZhoaGqFGjBsaMGSMN7RdwcnKCj48Pdu/ejWbNmsHY2BgNGzbE7t27AbwYam3YsCFMTU3x7rvv4vTp08Uu79KlS+jYsSNMTU1hbW2NsWPH4tmzZ0oxMpkMY8eOxfLly9GwYUPI5XKsW7cOAHDjxg34+fnBxsYGcrkcDRs2xH/+8x+1tkt6ejpGjhyJ6tWro2rVqvD29sb169eLjS3LcvLz87F48WI0bdoUxsbGqFatGlq3bo2dO3eW+L7iDkMnJSVh9OjRqFmzJgwNDeHs7Ixp06YhNzdXiik4RDBv3jwsWLAAzs7OqFq1Kjw9PXHixAkpLiAgQFoHmUwmvUoa0di/fz969eqFmjVrwsjICHXr1sXo0aPx77//SjF//vknZDIZNm/eXOT969evh0wmQ2xsLADg9OnT6N+/P5ycnGBsbAwnJycMGDCgyGkTBUP3hw8fxmeffQYrKytUr14dffr0wT///CPFOTk54dKlS4iKipLWx8nJqcTtrM7nk5+fjzlz5qBBgwaQy+WwsbHB4MGDce/ePaV5FRyOjImJQZs2baR1WrNmDQBgz549aN68OUxMTODm5oaIiAil9xccBj1//jw++eQTKBQKWFpaYvz48cjNzcW1a9fg7e0NMzMzODk5Yc6cOUrvf/78OUJCQtC0aVPpvZ6envjf//5XZL0Lvle//vorGjZsCBMTEzRp0kT6Dr9sz549aNq0KeRyOZydnTFv3rxit6UQAkuXLpW2pYWFBT7++GP8/fffJX4GwIv+WNxnVdyh4dLk/rIjR45II51Dhw6V+kjB90zVYehNmzbB09MTVatWRdWqVdG0aVOsWrWqxGVt374dJiYmGDFihPT9PH36NHr27AlLS0sYGRmhWbNm+O2336T3rF27Fp988gkAoH379lJ+JY2UF+R89uxZ9OnTB+bm5lAoFBg0aBAePnyoFKtuP3Zycir2sGrh02UKDiH/+uuvCAkJQY0aNSCXy/HXX3+VuG3UsXr1ajRp0gRGRkawtLTEhx9+iCtXrijlMmjQIABAq1atIJPJpD5UcCTN1tZW6fMt+N3atm0bmjVrBiMjI+nIijr7VnUVbJdNmzbhq6++gr29PapWrQpfX188ePAAT548wahRo2BlZQUrKysMHToUT58+ld5f0mHewr8LDx8+xKhRo+Do6Ai5XA5ra2t4eXkVGU09cOAAOnbsCHNzc5iYmMDLywsHDx5Uivnrr78wdOhQ1KtXDyYmJqhRowZ8fX1x4cIFtda7LL+Tjx8/xvDhw2FpaYmqVauiR48e+Pvvv4usb0F/P3PmDD7++GNYWFhIp7moW7+oOsWrcL8v+N3Zv38/hg4dCktLS5iamsLX17fYfZo621gjopytWbNGABCxsbHixx9/FADEwYMHpelt27YVjRs3lv7Oz88XXbt2Ffr6+mLy5MkiMjJSzJs3T5iamopmzZqJ58+fS7G1a9cWNWvWFK6urmLz5s1i7969olWrVsLAwEBMmTJFeHl5iW3btont27eL+vXrC1tbW/Hs2TPp/UOGDBGGhoaiVq1aYvr06SIyMlKEhYUJfX194ePjo7QeAESNGjWEu7u72LRpkzh06JC4ePGiuHTpklAoFMLNzU2sX79eREZGipCQEFGlShURFhZW4rbJz88X7du3F3K5XFr+1KlTRZ06dQQAMXXqVCm2LMsRQgh/f38hk8nEiBEjxP/+9z/xxx9/iOnTp4sff/xR6bNo27ZtkfV+OY/ExETh6OgoateuLVasWCEOHDggvv/+eyGXy0VAQIAUl5CQIAAIJycn4e3tLXbs2CF27Ngh3NzchIWFhXj8+LEQQoi//vpLfPzxxwKAiImJkV4vf86FLVu2TMycOVPs3LlTREVFiXXr1okmTZoIFxcXkZ2dLcU1a9ZMeHl5FXl/y5YtRcuWLaW/f//9dzFlyhSxfft2ERUVJcLDw0Xbtm2FtbW1ePjwoRRX0Jfr1Kkjxo0bJ/bt2yd++eUXYWFhIdq3by/FnTlzRtSpU0c0a9ZMWp8zZ86U8Omo9/mMGjVKABBjx44VERERYvny5cLa2lo4Ojoq5dm2bVtRvXp14eLiIlatWiX27dsnfHx8BAAxbdo04ebmJn1fWrduLeRyubh//770/qlTpwoAwsXFRXz//fdi//79YsKECdKyGzRoIH766Sexf/9+MXToUAFAbN26VXr/48ePRUBAgPj111/FoUOHREREhAgNDRVVqlQR69atU1rvgj7y7rvvit9++03s3btXtGvXTujr64ubN29KcQcOHBB6enrivffeE9u2bRO///67aNmypahVq5YovBsbOXKkMDAwECEhISIiIkJs2rRJNGjQQNja2oqkpKQSP4chQ4aI2rVrF2kv2Caa5F5YWlqa1Je+/fZbqY/cvXtX5bImT54sAIg+ffqI33//XURGRooFCxaIyZMnSzGF96ULFiwQenp64vvvv5faDh06JAwNDcX7778vtmzZIiIiIkRAQIAAINasWSOEECI5OVnMmDFDABD/+c9/pPySk5NVrlNBzrVr1xZffvml2Ldvn1iwYIG03375e6luP65du7YYMmRIkWUV3k8dPnxY2j9//PHHYufOnWL37t3i0aNHKvMtvF8rTsE2GDBggNizZ49Yv369qFOnjlAoFOL69etCiBf75W+//VbafjExMeKvv/4SZ86cEcOHDxcAREREhNLnW7t2bWFvby/q1KkjVq9eLQ4fPixOnTql9r5VXQXbpXbt2iIgIEDa1lWrVhXt27cXnTt3FqGhoSIyMlLMnj1b6OnpiXHjxknvL9iHF/SLkrZf165dhbW1tfj555/FkSNHxI4dO8SUKVNEeHi4FPPrr78KmUwmevfuLbZt2yZ27dolfHx8hJ6enjhw4IAUFxUVJUJCQsR///tfERUVJbZv3y569+4tjI2NxdWrV0vMryy/k3l5eeK9994TRkZGYtasWSIyMlJMmzZN1KtXr8j6vtzfv/rqK7F//36xY8eOUtUvqvpg4X5fsK9wdHQUw4YNE3/88Yf4+eefhY2NjXB0dBSpqaml3saaqNBiMSsrS9SpU0e0aNFC5OfnCyGK7uAiIiIEADFnzhyl+WzZskUAED///LPUVrt2bWFsbCzu3bsntcXHxwsAwt7eXmRkZEjtO3bsEADEzp07pbYhQ4YIAEo/yEIIMX36dAFAREdHS20AhEKhECkpKUqxXbt2FTVr1hRpaWlK7WPHjhVGRkZF4l/2xx9/lLj8wl9GTZdz9OhRAUB88803KmOEUK9YHD16tKhataq4ffu2Uty8efMEAHHp0iUhxP99kd3c3ERubq4Ud+rUKQFAbN68WWobM2ZMkR9HdeXn54ucnBxx+/ZtAUD873//k6YV9L2zZ88WWX7houVlubm54unTp8LU1FTpsymYX2BgoFL8nDlzBACRmJgotTVu3LjItlRFnc/nypUrxS775MmTAoD4+uuvpba2bdsKAOL06dNS26NHj4Senp4wNjZWKgwLvi8//fST1FawI5w/f77Sspo2bSoAiG3btkltOTk5wtraWvTp00dl7rm5uSInJ0cMHz5cNGvWTGkaAGFrayvS09OltqSkJFGlShUxc+ZMqa1Vq1bCwcFBZGZmSm3p6enC0tJSqe/ExMQUm/vdu3eFsbGxmDBhgso8hSh9sahO7sWJjY1V+UNceFl///230NPTEwMHDixxngX70ry8PDF27FhhaGgoNmzYoBTToEED0axZM5GTk6PU7uPjI+zt7UVeXp4Q4sV/oACIw4cPl7jMwjl/8cUXSu0bN24UAKQ8StOPS1ssfvDBB2rlKsSri8XU1FRhbGwsunfvrtR+584dIZfLhZ+fn9T28m/cywq2ycsFcMF66enpiWvXrim1q7tvVVfBdvH19VVqDw4OFgBEUFCQUnvv3r2FpaWl9HdpisWqVauK4OBglblkZGQIS0vLIrnk5eWJJk2aiHfffVfle3Nzc0V2draoV6+eUv8qLr+y/E7u2bNHABDLli1Tap85c6bKYnHKlClKsaWpX0pbLH744YdKcceOHRMAxA8//CCEKNs2VkeF3jrH0NAQP/zwA06fPq102ONlhw4dAoAihx8++eQTmJqaFhlObdq0KWrUqCH93bBhQwAvDg+8fP5AQXtxV2QPHDhQ6W8/Pz8AwOHDh5XaO3ToAAsLC+nv58+f4+DBg/jwww9hYmKC3Nxc6dW9e3c8f/5c6ZBrYQXzV7V8bS3njz/+AACMGTNGZYy6du/ejfbt28PBwUEpj27dugEAoqKilOJ79OgBPT096W93d3cAxX8O6kpOTsann34KR0dH6Ovrw8DAALVr1wYApUNEAwYMgI2NjdIhiMWLF8Pa2hr9+vWT2p4+fYqvvvoKdevWhb6+PvT19VG1alVkZGQoza9Az549lf4u6zqp8/kU9JXC34t3330XDRs2LPK9sLe3h4eHh/S3paUlbGxs0LRpUzg4OEjtJX0vfHx8lP5u2LAhZDKZ9FkDL84/qlu3bpH3//777/Dy8kLVqlWlz2jVqlXFbs/27dvDzMxM+tvW1hY2NjbSPDMyMhAbG4s+ffrAyMhIijMzM4Ovr6/SvHbv3g2ZTIZBgwYp9U87Ozs0adIER44cKbL8snhV7tqwf/9+5OXlqfX9ff78OXr37o2NGzciMjJSad/y119/4erVq1Jb4f1IYmIirl27VqZcC+/L+vbtC319fan/lrYfl8ZHH32k8XsLi4mJQWZmZpE8HR0d0aFDhzIf1nN3d0f9+vWV2kq7b1VXcd9j4MW+uXB7SkqK0qFodb377rtYu3YtfvjhB5w4cQI5OTlK048fP46UlBQMGTJEad3y8/Ph7e2N2NhYZGRkAHjRL2fMmIFGjRrB0NAQ+vr6MDQ0xI0bN4rdfxQo6+9kwfbt27evUvuAAQNUvqdwnytt/VIahb9bbdq0Qe3ataXvVGm2sSYq/D6L/fv3R/PmzfHNN98U6VAA8OjRI+jr68Pa2lqpXSaTwc7ODo8ePVJqt7S0VPrb0NCwxPbnz58rtevr66N69epKbXZ2dlIuL7O3ty+Sa25uLhYvXgwDAwOlV/fu3QFA6Tw6VeuqavnaWs7Dhw+hp6dXZL6aePDgAXbt2lUkj8aNGxebR+F1k8vlAF6c0K2J/Px8dOnSBdu2bcOECRNw8OBBnDp1StoJvDxfuVyO0aNHY9OmTXj8+DEePnyI3377DSNGjJDyAF4U50uWLMGIESOwb98+nDp1CrGxsbC2ti42T22vkzqfT0FfLNwHAcDBweGV3wvgxXdA3e9FcfMwNDSEiYmJUsFW0P7y+7dt24a+ffuiRo0a2LBhA2JiYhAbG4thw4YVu5zC2xN4sU0Ltmdqairy8/OL3T6F2x48eAAhBGxtbYv00RMnTpT4PdHEq3LXhoJz/tS56CU5ORn79u2Dp6cn2rRpozTtwYMHAIDQ0NAi26bgqtSybp/Cn0fB/q2gf5a2H5dGcfPUVHnmqWq+pd23qqusv5Hq2LJlC4YMGYJffvkFnp6esLS0xODBg6ULzAr63scff1xk/WbPng0hBFJSUgAA48ePx+TJk9G7d2/s2rULJ0+eRGxsLJo0aVLi90pbv8eFt4utra3K9xRXE5SmfikNVfu/gnmWZhtrosKuhi4gk8kwe/ZsdO7cGT///HOR6dWrV0dubi4ePnyotMGFEEhKStL6LTByc3Px6NEjpZ1+QQcv/ENQ+KRzCwsL6Onpwd/fX+X/+p2dnVUuu2BdVS1fW8uxtrZGXl4ekpKSyrxDtbKygru7O6ZPn17s9JdHrcrDxYsXce7cOaxduxZDhgyR2lWdzP7ZZ59h1qxZWL16NZ4/f47c3Fx8+umn0vS0tDTs3r0bU6dOxcSJE6X2rKysMn2xSkOdz6egfyQmJhYpGv755x9YWVmVe57q2rBhA5ydnbFlyxal70xWVpZG87OwsIBMJiv2yubCbVZWVpDJZPjzzz+V/kNQoLi2lxkZGRWbp7aLzNIo2A/eu3cPjo6OJcbWqlULCxYswIcffog+ffrg999/l4r7gj4yadIk9OnTp9j3u7i4lCnXpKQkpSM9hfdvpenHJX0WxfV3Te5NqcrLeRamje9bcbnqet9aWEG/KfwZFFfwWFlZYdGiRVi0aBHu3LmDnTt3YuLEiUhOTkZERIS0vRYvXqzyDhsFRdmGDRswePBgzJgxQ2n6v//+W+K9KrX1e5ySkqJUMJZ0R4XCn2Np6he5XF5s/1ZVUKra/9WtWxcASrWNNaGTJ7h06tQJnTt3xnfffVdkyLtjx44AXnSYl23duhUZGRnSdG3auHGj0t+bNm0CgCI3qC7MxMQE7du3x9mzZ+Hu7o4WLVoUeRU38lCgffv2JS5fW8spOIyxbNmyEtdHHT4+Prh48SLeeeedYvPQZIdWmpG5gi9n4R/9FStWFBtvb2+PTz75BEuXLsXy5cvh6+uLWrVqKc1PCFFkfr/88gvy8vJKtR4vK83okjqfT4cOHQAU/V7ExsbiypUr5fK90JRMJpNuTlwgKSmp2Kuh1VFwN4Nt27YpjXo8efIEu3btUor18fGBEAL3798vtn+6ubmVuCwnJyckJydL/0sHgOzsbOzbt0+j3FUpTZ/v0qUL9PT01P7+dunSBfv27cPRo0fh4+MjHXpycXFBvXr1cO7cuWK3TYsWLaRD6pqOlhfel/3222/Izc2V9qWl6cdOTk44f/68Utz169fLfKhcHZ6enjA2Ni6S571793Do0KFy+b6Vx761LGxtbWFkZFTkM3jV97hWrVoYO3YsOnfujDNnzgAAvLy8UK1aNVy+fFll3ysY2ZTJZEX2x3v27MH9+/dLXG5Zfyfbtm0L4MUo6cvCw8NLXO7LSlO/FNe/Dx06pPI0gMLfrePHj+P27dvSd6s021gTFT6yWGD27Nnw8PBAcnKyNMwOAJ07d0bXrl3x1VdfIT09HV5eXjh//jymTp2KZs2awd/fX6t5GBoaYv78+Xj69ClatmyJ48eP44cffkC3bt3w3nvvvfL9P/74I9577z28//77+Oyzz+Dk5IQnT57gr7/+wq5du6RzGIrTpUsXfPDBB5gwYQIyMjLQokULHDt2DL/++qtWl/P+++/D398fP/zwAx48eAAfHx/I5XKcPXsWJiYmGDdunHobC8B3332H/fv3o02bNggKCoKLiwueP3+OW7duYe/evVi+fHmp7xFX8AM+e/ZsdOvWDXp6enB3dy+2Yzdo0ADvvPMOJk6cCCEELC0tsWvXLuzfv1/l/D///HO0atUKAKTbxxQwNzfHBx98gLlz58LKygpOTk6IiorCqlWryvTEBTc3N4SHh2PLli2oU6cOjIyMVBYq6nw+Li4uGDVqFBYvXowqVaqgW7duuHXrFiZPngxHR0d88cUXGueqbQW3BQkMDMTHH3+Mu3fv4vvvv4e9vT1u3Lih0Ty///57eHt7o3PnzggJCUFeXh5mz54NU1NTpRFgLy8vjBo1CkOHDsXp06fxwQcfwNTUFImJiYiOjoabmxs+++wzlcvp168fpkyZgv79++PLL7/E8+fP8dNPP5XpPw7Feeedd2BsbIyNGzeiYcOGqFq1KhwcHIotCJycnPD111/j+++/R2ZmJgYMGACFQoHLly/j33//LfaG9u+99x4OHjwIb29vdOnSBXv37oVCocCKFSvQrVs3dO3aFQEBAahRowZSUlJw5coVnDlzBr///jsASE+C+fnnn2FmZgYjIyM4OzuX+GMLvDgFQV9fH507d8alS5cwefJkNGnSRDoPrDT92N/fH4MGDUJgYCA++ugj3L59G3PmzClyiK88VKtWDZMnT8bXX3+NwYMHY8CAAXj06BGmTZsGIyMjTJ06VevLLI99a1kUnPu7evVqvPPOO2jSpAlOnTpVZDAjLS0N7du3h5+fHxo0aAAzMzPExsYiIiJCGsGuWrUqFi9ejCFDhiAlJQUff/wxbGxs8PDhQ5w7dw4PHz6U/jPk4+ODtWvXokGDBnB3d0dcXBzmzp2r1rqX5XfS29sbXl5eCAkJQXp6Ojw8PBATE4P169cDAKpUefXYWmnqF39/f0yePBlTpkxB27ZtcfnyZSxZsgQKhaLYeZ8+fRojRozAJ598grt37+Kbb75BjRo1pFNISrONNVKmy2PUoOpKMSGE8PPzEwCUroYWQojMzEzx1Vdfidq1awsDAwNhb28vPvvsM6VLxIV4cdVQjx49iswXgBgzZoxSW8GVU3PnzpXahgwZIkxNTcX58+dFu3bthLGxsbC0tBSfffaZePr06Svn+fK8hw0bJmrUqCEMDAyEtbW1aNOmjXSVUkkeP34shg0bJqpVqyZMTExE586dxdWrV4u9Uqosy8nLyxMLFy4Urq6uwtDQUCgUCuHp6Sl27dolxahzNbQQQjx8+FAEBQUJZ2dnYWBgICwtLYWHh4f45ptvpO1W3PZWNc+srCwxYsQIYW1tLWQymQAgEhISVK7L5cuXRefOnYWZmZmwsLAQn3zyibhz506JVzg6OTmJhg0bFjvt3r174qOPPhIWFhbCzMxMeHt7i4sXL6q8Kq1wXy646vDlK0dv3bolunTpIszMzKRbLJREnc8nLy9PzJ49W9SvX18YGBgIKysrMWjQIOmWHAUK32GggLrfF1VXcRZ8XworbnmzZs0STk5OQi6Xi4YNG4qVK1eqvKK4uO9VcVfC7ty5U7i7u0u3u5o1a1ax8xRCiNWrV4tWrVoJU1NTYWxsLN555x0xePBgpSvEVdm7d69o2rSpMDY2FnXq1BFLliwpc+7F2bx5s2jQoIEwMDBQ6ruq1mn9+vWiZcuWwsjISFStWlU0a9ZM6UrQ4j6HixcvCjs7O9G8eXPp8zx37pzo27evsLGxEQYGBsLOzk506NBBLF++XOm9ixYtEs7OzkJPT0/lVbEFCnKOi4sTvr6+omrVqsLMzEwMGDBAPHjwQClW3X6cn58v5syZI+rUqSOMjIxEixYtxKFDh1ReDf3777+rzK+wkvYVL/vll1+kPqdQKESvXr2KXJWsydXQxX0PhVBv36ouVdulNPmmpaWJESNGCFtbW2Fqaip8fX3FrVu3lLbf8+fPxaeffirc3d2Fubm5MDY2Fi4uLmLq1KlKdyQR4sVtcXr06CEsLS2FgYGBqFGjhujRo4dSjqmpqWL48OHCxsZGmJiYiPfee0/8+eefRT53VVdrl+V3MiUlRQwdOlTp9/jEiRNF7lqi6rMVQv36JSsrS0yYMEE4OjoKY2Nj0bZtWxEfH6/ydycyMlL4+/uLatWqSVfq37hxo8jy1dnGmpAJIYTmpSZR5Xf+/Hk0adIE//nPf/h4KaJyEBYWhmnTpuHhw4eV6vxZorLatGkTBg4ciGPHjhW5aKwirF27FkOHDkVsbCxatGhR4csvoLPD0ETl7ebNm7h9+za+/vpr2NvbF/s0CCIiIgDYvHkz7t+/Dzc3N1SpUgUnTpzA3Llz8cEHH+ikUKxMWCzSG+v777+XHsX2+++/v9HP7SQiorIxMzNDeHg4fvjhB2RkZEiDDD/88IOuU9M5HoYmIiIiIpV0cuscIiIiIno9sFgkIiIiIpVYLBIRERGRSrzARYvy8/Pxzz//wMzMTKuPniIiIqLyI4TAkydP4ODgoNYNuN82LBa16J9//nnls1uJiIiocrp7926FPinndcFiUYsKnqt69+5dmJub6zgbIiIiUkd6ejocHR2l33FSxmJRiwoOPZubm7NYJCIies3wFLLi6fTAfG5uLr799ls4OzvD2NgYderUwXfffYf8/HwpRgiBsLAwODg4wNjYGO3atcOlS5eU5pOVlYVx48bBysoKpqam6NmzJ+7du6cUk5qaCn9/fygUCigUCvj7++Px48dKMXfu3IGvry9MTU1hZWWFoKAgZGdnl9v6ExEREVV2Oi0WZ8+ejeXLl2PJkiW4cuUK5syZg7lz52Lx4sVSzJw5c7BgwQIsWbIEsbGxsLOzQ+fOnfHkyRMpJjg4GNu3b0d4eDiio6Px9OlT+Pj4IC8vT4rx8/NDfHw8IiIiEBERgfj4ePj7+0vT8/Ly0KNHD2RkZCA6Ohrh4eHYunUrQkJCKmZjEBEREVVGQod69Oghhg0bptTWp08fMWjQICGEEPn5+cLOzk7MmjVLmv78+XOhUCjE8uXLhRBCPH78WBgYGIjw8HAp5v79+6JKlSoiIiJCCCHE5cuXBQBx4sQJKSYmJkYAEFevXhVCCLF3715RpUoVcf/+fSlm8+bNQi6Xi7S0NLXWJy0tTQBQO56IiIh0j7/fJdPpOYvvvfceli9fjuvXr6N+/fo4d+4coqOjsWjRIgBAQkICkpKS0KVLF+k9crkcbdu2xfHjxzF69GjExcUhJydHKcbBwQGurq44fvw4unbtipiYGCgUCrRq1UqKad26NRQKBY4fPw4XFxfExMTA1dUVDg4OUkzXrl2RlZWFuLg4tG/fvvw3CBHRWy4vLw85OTm6ToPeMAYGBtDT09N1Gq8tnRaLX331FdLS0tCgQQPo6ekhLy8P06dPx4ABAwAASUlJAABbW1ul99na2uL27dtSjKGhISwsLIrEFLw/KSkJNjY2RZZvY2OjFFN4ORYWFjA0NJRiCsvKykJWVpb0d3p6utrrTkRE/0cIgaSkpCLnkhNpS7Vq1WBnZ8eLWDSg02Jxy5Yt2LBhAzZt2oTGjRsjPj4ewcHBcHBwwJAhQ6S4wh+sEOKVH3bhmOLiNYl52cyZMzFt2rQS8yAiolcrKBRtbGxgYmLCH3TSGiEEnj17huTkZACAvb29jjN6/ei0WPzyyy8xceJE9O/fHwDg5uaG27dvY+bMmRgyZAjs7OwAvNiJvPzhJicnS6OAdnZ2yM7ORmpqqtLoYnJyMtq0aSPFPHjwoMjyHz58qDSfkydPKk1PTU1FTk5OkRHHApMmTcL48eOlvwvu00REROrLy8uTCsXq1avrOh16AxkbGwN4URvY2NjwkHQp6fRq6GfPnhV5rI6enp506xxnZ2fY2dlh//790vTs7GxERUVJhaCHhwcMDAyUYhITE3Hx4kUpxtPTE2lpaTh16pQUc/LkSaSlpSnFXLx4EYmJiVJMZGQk5HI5PDw8is1fLpdL91TkvRWJiDRTcI6iiYmJjjOhN1lB/+I5saWn05FFX19fTJ8+HbVq1ULjxo1x9uxZLFiwAMOGDQPw4rBwcHAwZsyYgXr16qFevXqYMWMGTExM4OfnBwBQKBQYPnw4QkJCUL16dVhaWiI0NBRubm7o1KkTAKBhw4bw9vbGyJEjsWLFCgDAqFGj4OPjAxcXFwBAly5d0KhRI/j7+2Pu3LlISUlBaGgoRo4cySKQiKgC8NAzlSf2L83ptFhcvHgxJk+ejMDAQCQnJ8PBwQGjR4/GlClTpJgJEyYgMzMTgYGBSE1NRatWrRAZGan0SJ6FCxdCX18fffv2RWZmJjp27Ii1a9cqDTNv3LgRQUFB0lXTPXv2xJIlS6Tpenp62LNnDwIDA+Hl5QVjY2P4+flh3rx5FbAliIiIiConmRBC6DqJN0V6ejoUCgXS0tI4GklEpKbnz58jISEBzs7OMDIy0nU6pGUymQzbt29H7969cevWLTg7O+Ps2bNo2rRpheZRUj/j73fJ+GxoIiKqtJwm7qmwZd2a1aNU8QEBAVi3bh1mzpyJiRMnSu07duzAhx9+CI7FFOXo6IjExERYWVlpdb4vF6SkfTq9wIWIiOh1ZmRkhNmzZyM1NVXXqbwW9PT0YGdnB319jlW9TlgsEhERaahTp06ws7PDzJkzS4zbunUrGjduDLlcDicnJ8yfP19pukwmw44dO5TaqlWrhrVr1wJ4cceOl0cvgRe3fzMwMMDhw4cBvLhbyIQJE1CjRg2YmpqiVatWOHLkiBT/6NEjDBgwADVr1oSJiQnc3NywefNmpXk6OTlJT1Er0LRpU4SFhZW4fqtXr5bWz97eHmPHji027tatW5DJZIiPj5faLl++jO7du6Nq1aqwtbWFv78//v33X2l6u3btEBQUhAkTJsDS0hJ2dnZK+Tg5OQEAPvzwQ8hkMulv0h4Wi0RERBrS09PDjBkzsHjxYty7d6/YmLi4OPTt2xf9+/fHhQsXEBYWhsmTJ0uFoDoGDhyIzZs3Kx3a3rJlC2xtbdG2bVsAwNChQ3Hs2DGEh4fj/Pnz+OSTT+Dt7Y0bN24AeHHOnoeHB3bv3o2LFy9i1KhR8Pf3L3KP4dJatmwZxowZg1GjRuHChQvYuXMn6tatq9Z7ExMT0bZtWzRt2hSnT59GREQEHjx4gL59+yrFrVu3Dqampjh58iTmzJmD7777TrplXmxsLABgzZo1SExMlP4m7eE4ML15whQq2tMqNg8ieit8+OGHaNq0KaZOnYpVq1YVmb5gwQJ07NgRkydPBgDUr18fly9fxty5cxEQEKDWMvr164cvvvgC0dHReP/99wEAmzZtgp+fH6pUqYKbN29i8+bNuHfvHhwcHAAAoaGhiIiIwJo1azBjxgzUqFEDoaGh0jzHjRuHiIgI/P7772jVqpXG6//DDz8gJCQEn3/+udTWsmVLtd67bNkyNG/eHDNmzJDaVq9eDUdHR1y/fh3169cHALi7u2Pq1KkAgHr16mHJkiU4ePAgOnfuDGtrawD/9zg/0j6OLBIREZXR7NmzsW7dOly+fLnItCtXrsDLy0upzcvLCzdu3EBeXp5a87e2tkbnzp2xceNGAEBCQgJiYmIwcOBAAMCZM2cghED9+vVRtWpV6RUVFYWbN28CePGknOnTp8Pd3R3Vq1dH1apVERkZiTt37mi83snJyfjnn3/QsWNHjd4fFxeHw4cPK+XcoEEDAJDyBl4Uiy+zt7eXHt9H5Y8ji0RERGX0wQcfoGvXrvj666+LjBYKIYrcELrwldIymaxIW+EnjQwcOBCff/45Fi9ejE2bNqFx48Zo0qQJACA/Px96enqIi4sr8ii7qlWrAgDmz5+PhQsXYtGiRXBzc4OpqSmCg4ORnZ0txVapUuWVebys4DF6msrPz4evry9mz55dZNrLj/k1MDBQmiaTyaSnvVH5Y7FIRESkBbNmzULTpk2lQ6cFGjVqhOjoaKW248ePo379+lJhZ21trfS42Rs3buDZs2dK7+nduzdGjx6NiIgIbNq0Cf7+/tK0Zs2aIS8vD8nJydJh6sL+/PNP9OrVC4MGDQLwolC7ceMGGjZsKMUUziM9PR0JCQkq19nMzAxOTk44ePAg2rdvrzJOlebNm2Pr1q1wcnIq0xXSBgYGao/SUunxMDQREZEWuLm5YeDAgVi8eLFSe0hICA4ePIjvv/8e169fx7p167BkyRKl8wc7dOiAJUuW4MyZMzh9+jQ+/fTTIqNppqam6NWrFyZPnowrV65Ij70FXpwHOXDgQAwePBjbtm1DQkICYmNjMXv2bOzduxcAULduXezfvx/Hjx/HlStXMHr0aCQlJSkto0OHDvj111/x559/4uLFixgyZEiRkcrCwsLCMH/+fPz000+4ceMGzpw5U2QbqDJmzBikpKRgwIABOHXqFP7++29ERkZi2LBhpSr+CgrWpKQk3saoHLBYJCIi0pLvv/++yGHc5s2b47fffkN4eDhcXV0xZcoUfPfdd0qHq+fPnw9HR0d88MEH8PPzQ2hoKExMTIrMf+DAgTh37hzef/991KpVS2namjVrMHjwYISEhMDFxQU9e/bEyZMn4ejoCACYPHkymjdvjq5du6Jdu3aws7MrchPrSZMm4YMPPoCPjw+6d++O3r1745133ilxnYcMGYJFixZh6dKlaNy4MXx8fKQrsF/FwcEBx44dQ15eHrp27QpXV1d8/vnnUCgUqFJF/RJl/vz52L9/PxwdHdGsWTO130fq4eP+tIiPC6okeDU00WuFj/ujisDH/WmOI4tEREREpBKLRSIiIiJSicUiEREREanEYpGIiIiIVGKxSEREREQqsVgkIiIiIpVYLBIRERGRSiwWiYiIiEglFotEREREpBKLRSIiokrMyckJixYt0mkO7dq1Q3BwsPR3ZciJKo6+rhMgIiJSSdXjO8tlWZo9EvT48eN4//330blzZ0RERGg5KSA2NhampqZan29ZlEdO7dq1Q9OmTVmEVkIcWSQiIiqD1atXY9y4cYiOjsadO3e0Pn9ra2uYmJhofb5lURlzovLDYpGIiEhDGRkZ+O233/DZZ5/Bx8cHa9euVZp+5MgRyGQyHDx4EC1atICJiQnatGmDa9euKcXt3LkTLVq0gJGREaysrNCnTx9pWuFDvmlpaRg1ahRsbGxgbm6ODh064Ny5c9L0sLAwNG3aFL/++iucnJygUCjQv39/PHnypMR1OXbsGNq2bQsTExNYWFiga9euSE1NLTZW2zkFBAQgKioKP/74I2QyGWQyGW7dulVivlRxWCwSERFpaMuWLXBxcYGLiwsGDRqENWvWQAhRJO6bb77B/Pnzcfr0aejr62PYsGHStD179qBPnz7o0aMHzp49KxWWxRFCoEePHkhKSsLevXsRFxeH5s2bo2PHjkhJSZHibt68iR07dmD37t3YvXs3oqKiMGvWLJXrER8fj44dO6Jx48aIiYlBdHQ0fH19kZeX98ptoI2cfvzxR3h6emLkyJFITExEYmIiHB0dX7lsqhg8Z5GIiEhDq1atwqBBgwAA3t7eePr0KQ4ePIhOnTopxU2fPh1t27YFAEycOBE9evTA8+fPYWRkhOnTp6N///6YNm2aFN+kSZNil3f48GFcuHABycnJkMvlAIB58+Zhx44d+O9//4tRo0YBAPLz87F27VqYmZkBAPz9/XHw4EFMnz692PnOmTMHLVq0wNKlS6W2xo0bq7UNtJGTQqGAoaEhTExMYGdnp9ZyqeJwZJGIiEgD165dw6lTp9C/f38AgL6+Pvr164fVq1cXiXV3d5f+bW9vDwBITk4G8H+jeuqIi4vD06dPUb16dVStWlV6JSQk4ObNm1Kck5OTVJQVLLNgecUpTQ4VlRNVHhxZJCIi0sCqVauQm5uLGjVqSG1CCBgYGCA1NRUWFhZSu4GBgfRvmUwG4MVIGwAYGxurvcz8/HzY29vjyJEjRaZVq1at2OUVLLNgecUpTQ4VlRNVHiwWiYiISik3Nxfr16/H/Pnz0aVLF6VpH330ETZu3IixY8eqNS93d3ccPHgQQ4cOfWVs8+bNkZSUBH19fTg5OWmSeok5vHwoXF3aysnQ0FCtcySp4vEwNBERUSnt3r0bqampGD58OFxdXZVeH3/8MVatWqX2vKZOnYrNmzdj6tSpuHLlCi5cuIA5c+YUG9upUyd4enqid+/e2LdvH27duoXjx4/j22+/xenTpzVen0mTJiE2NhaBgYE4f/48rl69imXLluHff/995Xu1lZOTkxNOnjyJW7du4d9//+WoYyXCYpGIiKiUVq1ahU6dOkGhKHrT8I8++gjx8fE4c+aMWvNq164dfv/9d+zcuRNNmzZFhw4dcPLkyWJjZTIZ9u7diw8++ADDhg1D/fr10b9/f9y6dQu2trYar0/9+vURGRmJc+fO4d1334Wnpyf+97//QV//1QcgtZVTaGgo9PT00KhRI1hbW5fLPStJMzJR3DX+pJH09HQoFAqkpaXB3Nxc1+m8vVQ98UHDpzMQUfl6/vw5EhIS4OzsDCMjI12nQ2+okvoZf79LxpFFIiIiIlKJxSIRERERqaTTYtHJyUl6rM/LrzFjxgB4cQuCsLAwODg4wNjYGO3atcOlS5eU5pGVlYVx48bBysoKpqam6NmzJ+7du6cUk5qaCn9/fygUCigUCvj7++Px48dKMXfu3IGvry9MTU1hZWWFoKAgZGdnl+v6ExEREVV2Oi0WY2Njpcf6JCYmYv/+/QCATz75BMCLO8ovWLAAS5YsQWxsLOzs7NC5c2el51sGBwdj+/btCA8PR3R0NJ4+fQofHx+ly+/9/PwQHx+PiIgIREREID4+Hv7+/tL0vLw89OjRAxkZGYiOjkZ4eDi2bt2KkJCQCtoSRERERJWUqEQ+//xz8c4774j8/HyRn58v7OzsxKxZs6Tpz58/FwqFQixfvlwIIcTjx4+FgYGBCA8Pl2Lu378vqlSpIiIiIoQQQly+fFkAECdOnJBiYmJiBABx9epVIYQQe/fuFVWqVBH379+XYjZv3izkcrlIS0tTO/+0tDQBoFTvoXIw1bz4FxFVSpmZmeLy5cvi2bNnuk6F3mDPnj0Tly9fFpmZmUWm8fe7ZJXmnMXs7Gxs2LABw4YNg0wmQ0JCApKSkpRudiqXy9G2bVscP34cwItHDOXk5CjFODg4wNXVVYqJiYmBQqFAq1atpJjWrVtDoVAoxbi6usLBwUGK6dq1K7KyshAXF1eu601E9LYreLLHs2fPdJwJvckK+lfhJ8nQq1WaJ7js2LEDjx8/RkBAAAAgKSkJAIrco8nW1ha3b9+WYgwNDZUeqVQQU/D+pKQk2NjYFFmejY2NUkzh5VhYWMDQ0FCKKU5WVhaysrKkv9PT09VZVSIieomenh6qVasmPSfYxMREeiQeUVkJIfDs2TMkJyejWrVq0NPT03VKr51KUyyuWrUK3bp1UxrdA1BkhyGEeOVOpHBMcfGaxBQ2c+ZMjR6NREREyuzs7ABAKhiJtK1atWpSP6PSqRTF4u3bt3HgwAFs27ZNaiv4QJOSkmBvby+1JycnS6OAdnZ2yM7OLvLA9uTkZLRp00aKefDgQZFlPnz4UGk+he+Wn5qaipycnBLvPj9p0iSMHz9e+js9PR2Ojo5qrzcREb0gk8lgb28PGxsb5OTk6DodesMYGBhwRLEMKkWxuGbNGtjY2KBHjx5Sm7OzM+zs7LB//340a9YMwIvzGqOiojB79mwAgIeHBwwMDLB//3707dsXAJCYmIiLFy9Kz9X09PREWloaTp06hXfffRcAcPLkSaSlpUkFpaenJ6ZPn47ExESpMI2MjIRcLoeHh4fKvOVyOeRyuZa3BhHR20tPT48/6kSVjM6Lxfz8fKxZswZDhgxRegalTCZDcHAwZsyYgXr16qFevXqYMWMGTExM4OfnBwBQKBQYPnw4QkJCUL16dVhaWiI0NBRubm7o1KkTAKBhw4bw9vbGyJEjsWLFCgDAqFGj4OPjAxcXFwBAly5d0KhRI/j7+2Pu3LlISUlBaGgoRo4cycf+EBER0VtN58XigQMHcOfOHQwbNqzItAkTJiAzMxOBgYFITU1Fq1atEBkZCTMzMylm4cKF0NfXR9++fZGZmYmOHTti7dq1Sv8z3bhxI4KCgqSrpnv27IklS5ZI0/X09LBnzx4EBgbCy8sLxsbG8PPzw7x588pxzYmIiIgqP5kQQug6iTcFH0ReSYQpVLSnVWweRET0WuDvd8kqzX0WiYiIiKjyYbFIRERERCqxWCQiIiIilVgsEhEREZFKZSoWs7Ozce3aNeTm5morHyIiIiKqRDQqFp89e4bhw4fDxMQEjRs3xp07dwAAQUFBmDVrllYTJCIiIiLdUatYXLFiBc6cOSP9PWnSJJw7dw5HjhyBkZGR1N6pUyds2bJF+1kSERERkU6oVSw2aNAAvXr1QmRkJABg+/btWLJkCd577z3IZDIprlGjRrh582b5ZEpEREREFU6tYrFt27Y4evQowsLCAAD//vsvbGxsisRlZGQoFY9ERERE9HpT+5xFZ2dnREVFAQBatmyJPXv2SNMKCsSVK1fC09NTyykSERERka6U6tnQBgYGAICZM2fC29sbly9fRm5uLn788UdcunQJMTExUkFJRERERK8/ja6GbtOmDY4dO4Znz57hnXfeQWRkJGxtbRETEwMPDw9t50hEREREOlKqkcWXubm5Yd26ddrMhYiIiIgqGbWLxfT0dLVnam5urlEyRERERFS5qF0sVqtWTe0rnfPy8jROiEinwhQq2tMqNg8iIqJKQu1i8fDhw9K/b926hYkTJyIgIEC6+jkmJgbr1q3DzJkztZ8lEREREemE2sVi27ZtpX9/9913WLBgAQYMGCC19ezZE25ubvj5558xZMgQ7WZJRERERDqh0dXQMTExaNGiRZH2Fi1a4NSpU2VOioiIiIgqB42uhnZ0dMTy5csxf/58pfYVK1bA0dFRK4kRERHRa47ngb8RNCoWFy5ciI8++gj79u1D69atAQAnTpzAzZs3sXXrVq0mSERERES6o9Fh6O7du+PGjRvo2bMnUlJS8OjRI/Tq1QvXr19H9+7dtZ0jEREREemIxjflrlmzJmbMmKHNXIiIiIioktG4WHz8+DFOnTqF5ORk5OfnK00bPHhwmRMjIiIiIt3TqFjctWsXBg4ciIyMDJiZmSndrFsmk7FYJCIiInpDaHTOYkhICIYNG4YnT57g8ePHSE1NlV4pKSnazpGIiIiIdESjYvH+/fsICgqCiYmJtvMhIiIiokpEo2Kxa9euOH36tLZzISIiIqJKRqNzFnv06IEvv/wSly9fhpubGwwMDJSm9+zZUyvJEREREZFuaVQsjhw5EsCLZ0QXJpPJkJeXV7asiIiIiKhS0KhYLHyrHCIiIiJ6M2l0ziIRERERvR00vil3RkYGoqKicOfOHWRnZytNCwoKKnNiRERERKR7GhWLZ8+eRffu3fHs2TNkZGTA0tIS//77L0xMTGBjY8NikYiIiOgNodFh6C+++AK+vr5ISUmBsbExTpw4gdu3b8PDwwPz5s3Tdo5EREREpCMaFYvx8fEICQmBnp4e9PT0kJWVBUdHR8yZMwdff/21tnMkIiIiIh3RqFg0MDCQngdta2uLO3fuAAAUCoX0b3Xdv38fgwYNQvXq1WFiYoKmTZsiLi5Omi6EQFhYGBwcHGBsbIx27drh0qVLSvPIysrCuHHjYGVlBVNTU/Ts2RP37t1TiklNTYW/vz8UCgUUCgX8/f3x+PFjpZg7d+7A19cXpqamsLKyQlBQUJHzMYmIiIjeJhoVi82aNZOe4NK+fXtMmTIFGzduRHBwMNzc3NSeT2pqKry8vGBgYIA//vgDly9fxvz581GtWjUpZs6cOViwYAGWLFmC2NhY2NnZoXPnznjy5IkUExwcjO3btyM8PBzR0dF4+vQpfHx8lO736Ofnh/j4eERERCAiIgLx8fHw9/eXpufl5aFHjx7IyMhAdHQ0wsPDsXXrVoSEhGiyiYiIiIjeCDIhhCjtm06fPo0nT56gffv2ePjwIYYMGYLo6GjUrVsXa9asQZMmTdSaz8SJE3Hs2DH8+eefxU4XQsDBwQHBwcH46quvALwYRbS1tcXs2bMxevRopKWlwdraGr/++iv69esHAPjnn3/g6OiIvXv3omvXrrhy5QoaNWqEEydOoFWrVgCAEydOwNPTE1evXoWLiwv++OMP+Pj44O7du3BwcAAAhIeHIyAgAMnJyTA3N3/l+qSnp0OhUCAtLU2teConYQoV7Wnl+14iIlL2muxT+ftdMo1GFlu0aIH27dsDAKytrbF3716kp6fjzJkzaheKALBz5060aNECn3zyCWxsbNCsWTOsXLlSmp6QkICkpCR06dJFapPL5Wjbti2OHz8OAIiLi0NOTo5SjIODA1xdXaWYmJgYKBQKqVAEgNatW0OhUCjFuLq6SoUi8OIZ2FlZWUqHxV+WlZWF9PR0pRcRERHRm0SnN+X++++/sWzZMtSrVw/79u3Dp59+iqCgIKxfvx4AkJSUBODFeZEvs7W1laYlJSXB0NAQFhYWJcbY2NgUWb6NjY1STOHlWFhYwNDQUIopbObMmdI5kAqFAo6OjqXdBERERESVmkbF4qNHjzBmzBg0atQIVlZWsLS0VHqpKz8/H82bN8eMGTPQrFkzjB49GiNHjsSyZcuU4goupikghCjSVljhmOLiNYl52aRJk5CWlia97t69W2JORERERK8bjW7KPWjQINy8eRPDhw+Hra3tKws3Vezt7dGoUSOltoYNG2Lr1q0AADs7OwAvRv3s7e2lmOTkZGkU0M7ODtnZ2UhNTVUaXUxOTkabNm2kmAcPHhRZ/sOHD5Xmc/LkSaXpqampyMnJKTLiWEAul0Mul5dqnYmIiIheJxoVi9HR0YiOji7V+YnF8fLywrVr15Tarl+/jtq1awMAnJ2dYWdnh/3796NZs2YAgOzsbERFRWH27NkAAA8PDxgYGGD//v3o27cvACAxMREXL17EnDlzAACenp5IS0vDqVOn8O677wIATp48ibS0NKmg9PT0xPTp05GYmCgVppGRkZDL5fDw8CjTehIRERG9rjQqFhs0aIDMzMwyL/yLL75AmzZtMGPGDPTt2xenTp3Czz//jJ9//hnAi8PCwcHBmDFjBurVq4d69ephxowZMDExgZ+fH4AX93YcPnw4QkJCUL16dVhaWiI0NBRubm7o1KkTgBejld7e3hg5ciRWrFgBABg1ahR8fHzg4uICAOjSpQsaNWoEf39/zJ07FykpKQgNDcXIkSN5ZdRrxun5pmLbb1VsGkRERG8EjYrFpUuXYuLEiZgyZQpcXV1hYGCgNF3d4qply5bYvn07Jk2ahO+++w7Ozs5YtGgRBg4cKMVMmDABmZmZCAwMRGpqKlq1aoXIyEiYmZlJMQsXLoS+vj769u2LzMxMdOzYEWvXroWenp4Us3HjRgQFBUlXTffs2RNLliyRpuvp6WHPnj0IDAyEl5cXjI2N4efnx8cXEhHR6+81uYUNVU4a3Wfxxo0bGDBgAM6ePavUXnAxyMs3w36b8D5NlYPTxD3Ftt+a1ePVb+YOlYjeRLrat70m+1T+fpdMo5HFgQMHwtDQEJs2bSrTBS5EREREVLlpVCxevHgRZ8+elc73IyIiIqI3k8ZPcOE9BYmIiIjefBqNLI4bNw6ff/45vvzyS7i5uRW5wMXd3V0ryRERERGRbmlULPbr1w8AMGzYMKlNJpO99Re4EBEREb1pNCoWExIStJ0HEREREVVCGhWLBU9YISIiIqI3m0bFIgDcv38fx44dQ3JyMvLz85WmBQUFlTkxIiIiItI9jYrFNWvW4NNPP4WhoSGqV6+udJ9FmUzGYpGIiIjoDaFRsThlyhRMmTIFkyZNQpUqGt19h4iIiIheAxpVes+ePUP//v1ZKBIRERG94TSq9oYPH47ff/9d27kQERERUSWj0WHomTNnwsfHBxEREcXelHvBggVaSY6IiIiIdEujYnHGjBnYt2+f9Gzowhe4EBEREdGbQaNiccGCBVi9ejUCAgK0nA4RERERVSYanbMol8vh5eWl7VyIiIiIqJLRqFj8/PPPsXjxYm3nQkRERESVjEaHoU+dOoVDhw5h9+7daNy4cZELXLZt26aV5IiIiIhItzQqFqtVq4Y+ffpoOxciIiIiqmQ0ftwfEREREb35NCoWCzx8+BDXrl2DTCZD/fr1YW1tra28iIiIiKgS0OgCl4yMDAwbNgz29vb44IMP8P7778PBwQHDhw/Hs2fPtJ0jEREREemIRsXi+PHjERUVhV27duHx48d4/Pgx/ve//yEqKgohISHazpGIiIiIdESjw9Bbt27Ff//7X7Rr105q6969O4yNjdG3b18sW7ZMW/kRERERkQ5pNLL47Nkz2NraFmm3sbHhYWgiIiKiN4hGxaKnpyemTp2K58+fS22ZmZmYNm0aPD09tZYcEREREemWRoehf/zxR3h7e6NmzZpo0qQJZDIZ4uPjYWRkhH379mk7RyIiIiLSEY2KRVdXV9y4cQMbNmzA1atXIYRA//79MXDgQBgbG2s7RyIiIiLSEY3vs2hsbIyRI0dqMxciIiIiqmQ0Omdx5syZWL16dZH21atXY/bs2WVOioiIiIgqB42KxRUrVqBBgwZF2hs3bozly5eXOSkiIiIiqhw0KhaTkpJgb29fpN3a2hqJiYllToqIiIiIKgeNikVHR0ccO3asSPuxY8fg4OBQ5qSIiIiIqHLQ6AKXESNGIDg4GDk5OejQoQMA4ODBg5gwYQIf90dEREQAAKfnm4ptv1WxaVAZaTSyOGHCBAwfPhyBgYGoU6cO6tSpg3HjxiEoKAiTJk1Sez5hYWGQyWRKLzs7O2m6EAJhYWFwcHCAsbEx2rVrh0uXLinNIysrC+PGjYOVlRVMTU3Rs2dP3Lt3TykmNTUV/v7+UCgUUCgU8Pf3x+PHj5Vi7ty5A19fX5iamsLKygpBQUHIzs4u/cYhIiIieoNoVCzKZDLMnj0bDx8+xIkTJ3Du3DmkpKRgypQppZ5X48aNkZiYKL0uXLggTZszZw4WLFiAJUuWIDY2FnZ2dujcuTOePHkixQQHB2P79u0IDw9HdHQ0nj59Ch8fH+Tl5Ukxfn5+iI+PR0REBCIiIhAfHw9/f39pel5eHnr06IGMjAxER0cjPDwcW7du5SgpERERvfU0vs8iAFStWhUtW7YsWwL6+kqjiQWEEFi0aBG++eYb9OnTBwCwbt062NraYtOmTRg9ejTS0tKwatUq/Prrr+jUqRMAYMOGDXB0dMSBAwfQtWtXXLlyBREREThx4gRatWoFAFi5ciU8PT1x7do1uLi4IDIyEpcvX8bdu3elcy7nz5+PgIAATJ8+Hebm5mVaRyIiIqLXlUYji9p048YNODg4wNnZGf3798fff/8NAEhISEBSUhK6dOkixcrlcrRt2xbHjx8HAMTFxSEnJ0cpxsHBAa6urlJMTEwMFAqFVCgCQOvWraFQKJRiXF1dlS7O6dq1K7KyshAXF6cy96ysLKSnpyu9iIiIiN4kZRpZLKtWrVph/fr1qF+/Ph48eIAffvgBbdq0waVLl5CUlAQAsLW1VXqPra0tbt++DeDFLXwMDQ1hYWFRJKbg/UlJSbCxsSmybBsbG6WYwsuxsLCAoaGhFFOcmTNnYtq0aaVca6rMeDI2ERGRMp2OLHbr1g0fffQR3Nzc0KlTJ+zZswfAi8PNBWQymdJ7hBBF2gorHFNcvCYxhU2aNAlpaWnS6+7duyXmRURERPS60ahYPHr0KHJzc4u05+bm4ujRoxonY2pqCjc3N9y4cUM6j7HwyF5ycrI0CmhnZ4fs7GykpqaWGPPgwYMiy3r48KFSTOHlpKamIicnp8iI48vkcjnMzc2VXkRERJWN0/NNxb6I1KFRsdi+fXukpKQUaU9LS0P79u01TiYrKwtXrlyBvb09nJ2dYWdnh/3790vTs7OzERUVhTZt2gAAPDw8YGBgoBSTmJiIixcvSjGenp5IS0vDqVOnpJiTJ08iLS1NKebixYtKT5+JjIyEXC6Hh4eHxutDRERE9LrT6JxFVYdnHz16BFNTU7XnExoaCl9fX9SqVQvJycn44YcfkJ6ejiFDhkAmkyE4OBgzZsxAvXr1UK9ePcyYMQMmJibw8/MDACgUCgwfPhwhISGoXr06LC0tERoaKh3WBoCGDRvC29sbI0eOxIoVKwAAo0aNgo+PD1xcXAAAXbp0QaNGjeDv74+5c+ciJSUFoaGhGDlyJEcLiYiI6K1WqmKx4BY2MpkMAQEBkMvl0rS8vDycP39eGq1Tx7179zBgwAD8+++/sLa2RuvWrXHixAnUrl0bwIubf2dmZiIwMBCpqalo1aoVIiMjYWZmJs1j4cKF0NfXR9++fZGZmYmOHTti7dq10NPTk2I2btyIoKAg6arpnj17YsmSJdJ0PT097NmzB4GBgfDy8oKxsTH8/Pwwb9680mweIiIiojdOqYpFhUIB4MXIopmZGYyNjaVphoaGaN26NUaOHKn2/MLDw0ucLpPJEBYWhrCwMJUxRkZGWLx4MRYvXqwyxtLSEhs2bChxWbVq1cLu3btLjCEiIiJ625SqWFyzZg0AwMnJCaGhoaU65ExERERErx+NzlmcOnWqtvMgIiIiokpIo6uhHzx4AH9/fzg4OEBfXx96enpKLyIiIiJ6M2g0shgQEIA7d+5g8uTJsLe3f+VNsomIiIjo9aRRsRgdHY0///wTTZs21XI6RERERFSZaHQY2tHREUIIbedCRERERJWMRsXiokWLMHHiRNy6dUvL6RARERFRZaLRYeh+/frh2bNneOedd2BiYgIDAwOl6cU9CpCIiIiIXj8aFYuLFi3SchpEREREVBlpVCwOGTJE23kQERERUSWkUbH4sszMTOTk5Ci1mZubl3W2RERERFQJaHSBS0ZGBsaOHQsbGxtUrVoVFhYWSi8iIiIiejNoVCxOmDABhw4dwtKlSyGXy/HLL79g2rRpcHBwwPr167WdIxERERHpiEaHoXft2oX169ejXbt2GDZsGN5//33UrVsXtWvXxsaNGzFw4EBt50lEREREOqDRyGJKSgqcnZ0BvDg/seBWOe+99x6OHj2qveyIiIiISKc0Khbr1Kkj3ZC7UaNG+O233wC8GHGsVq2atnIjIiIiIh3TqFgcOnQozp07BwCYNGmSdO7iF198gS+//FKrCRIRERGR7mh0zuIXX3wh/bt9+/a4evUqTp8+jXfeeQdNmjTRWnJEREREpFsaFYsJCQnSOYsAUKtWLdSqVUtrSRERERFR5aDRYei6deuiffv22LBhA54/f67tnIiIiIioktCoWDx37hyaNWuGkJAQ2NnZYfTo0Th58qS2cyMiIiIiHdOoWHR1dcWCBQtw//59rFmzBklJSXj//ffRuHFjLFiwAA8fPtR2nkRERESkAxoViwX09fXx4Ycf4rfffsPs2bNx8+ZNhIaGombNmhg8eDASExO1lScRERER6UCZisXTp08jMDAQ9vb2WLBgAUJDQ3Hz5k0cOnQI9+/fR69evbSVJxERERHpgEZXQy9YsABr1qzBtWvX0L17d6xfvx7du3dHlSovak9nZ2esWLECDRo00GqyRERERFSxNCoWly1bhmHDhmHo0KGws7MrNqZWrVpYtWpVmZIjIiIiIt3SqFi8cePGK2MMDQ0xZMgQTWZPRERERJWERsVigWfPnuHOnTvIzs5Wand3dy9TUkRERERUOWhULD58+BABAQGIiIgodnpeXl6ZkiIiIiKiykGjq6GDg4Px+PFjnDhxAsbGxoiIiMC6detQr1497Ny5U9s5EhEREZGOaDSyeOjQIfzvf/9Dy5YtUaVKFdSuXRudO3eGubk5Zs6ciR49emg7TyIiIiLSAY1GFjMyMmBjYwMAsLS0lJ7Y4ubmhjNnzmgvOyIiIiLSKY2KRRcXF1y7dg0A0LRpU6xYsQL379/H8uXLYW9vr9UEiYiIiEh3NDoMHRwcLD3Kb+rUqejatSs2btwIQ0NDrF27Vpv5EREREZEOaTSyOHDgQAQEBAAAmjVrhlu3biE2NhZ3795Fv379NE5m5syZkMlkCA4OltqEEAgLC4ODgwOMjY3Rrl07XLp0Sel9WVlZGDduHKysrGBqaoqePXvi3r17SjGpqanw9/eHQqGAQqGAv78/Hj9+rBRz584d+Pr6wtTUFFZWVggKCipyWyAiIiKit0mZng1dwMTEBM2bN4eVlZXG84iNjcXPP/9c5B6Nc+bMwYIFC7BkyRLExsbCzs4OnTt3xpMnT6SY4OBgbN++HeHh4YiOjsbTp0/h4+OjdAsfPz8/xMfHIyIiAhEREYiPj4e/v780PS8vDz169EBGRgaio6MRHh6OrVu3IiQkRON1IiIiInrdaaVYLKunT59i4MCBWLlyJSwsLKR2IQQWLVqEb775Bn369IGrqyvWrVuHZ8+eYdOmTQCAtLQ0rFq1CvPnz0enTp3QrFkzbNiwARcuXMCBAwcAAFeuXEFERAR++eUXeHp6wtPTEytXrsTu3bulcy8jIyNx+fJlbNiwAc2aNUOnTp0wf/58rFy5Eunp6RW/UYiIiIgqgUpRLI4ZMwY9evRAp06dlNoTEhKQlJSELl26SG1yuRxt27bF8ePHAQBxcXHIyclRinFwcICrq6sUExMTA4VCgVatWkkxrVu3hkKhUIpxdXWFg4ODFNO1a1dkZWUhLi5O+ytNRERE9Boo0+P+tCE8PBxnzpxBbGxskWlJSUkAAFtbW6V2W1tb3L59W4oxNDRUGpEsiCl4f1JSknSrn5fZ2NgoxRRejoWFBQwNDaWYwrKyspCVlSX9zRFIIiIietNoNLJ4584dCCGKtAshcOfOHbXnc/fuXXz++efYsGEDjIyMVMbJZLIiyyncVlwuL8cUF69JzMtmzpwpXTCjUCjg6OhYYk5ERERErxuNikVnZ2fpRtwvS0lJgbOzs9rziYuLQ3JyMjw8PKCvrw99fX1ERUXhp59+gr6+vjTSV3hkLzk5WZpmZ2eH7OxspKamlhjz4MGDIst/+PChUkzh5aSmpiInJ6fIiGOBSZMmIS0tTXrdvXtX7XUnIiIieh1oVCyqGm17+vRpiSOEhXXs2BEXLlxAfHy89GrRogUGDhyI+Ph41KlTB3Z2dti/f7/0nuzsbERFRaFNmzYAAA8PDxgYGCjFJCYm4uLFi1KMp6cn0tLScOrUKSnm5MmTSEtLU4q5ePGidP9I4MVFL3K5HB4eHsXmL5fLYW5urvQiIiIiepOU6pzF8ePHA3hxuHby5MkwMTGRpuXl5eHkyZNo2rSp2vMzMzODq6urUpupqSmqV68utQcHB2PGjBmoV68e6tWrhxkzZsDExAR+fn4AAIVCgeHDhyMkJATVq1eHpaUlQkND4ebmJl0w07BhQ3h7e2PkyJFYsWIFAGDUqFHw8fGBi4sLAKBLly5o1KgR/P39MXfuXKSkpCA0NBQjR45kEUhERERvrVIVi2fPngXwYmTxwoULMDQ0lKYZGhqiSZMmCA0N1WqCEyZMQGZmJgIDA5GamopWrVohMjISZmZmUszChQuhr6+Pvn37IjMzEx07dsTatWuhp6cnxWzcuBFBQUHSVdM9e/bEkiVLpOl6enrYs2cPAgMD4eXlBWNjY/j5+WHevHlaXR8iIiKi14lMFHelyisMHToUP/74I0fcCklPT4dCoUBaWhq3jQ45TdxTbPutWT3K9b1ERJWVrvZtr8s+lb/fJdPo1jlr1qzRdh5EREREVAlpVCxmZGRg1qxZOHjwIJKTk5Gfn680/e+//9ZKckRERESkWxoViyNGjEBUVBT8/f1hb2//ynseEhEREdHrSaNi8Y8//sCePXvg5eWl7XyIiIiIqBLR6D6LFhYWsLS01HYuRERERFTJaFQsfv/995gyZQqePXum7XyIiIiIqBLR6DD0/PnzcfPmTdja2sLJyQkGBgZK08+cOaOV5IiIiIhItzQqFnv37q3lNIiIiIioMtKoWJw6daq28yAiIiKiSkijcxYB4PHjx/jll18wadIkpKSkAHhx+Pn+/ftaS46IiIiIdEujkcXz58+jU6dOUCgUuHXrFkaOHAlLS0ts374dt2/fxvr167WdJxERERHpgEYji+PHj0dAQABu3LgBIyMjqb1bt244evSo1pIjIiIiIt3SqFiMjY3F6NGji7TXqFEDSUlJZU6KiIiIiCoHjYpFIyMjpKenF2m/du0arK2ty5wUEREREVUOGhWLvXr1wnfffYecnBwAgEwmw507dzBx4kR89NFHWk2QiIiIiHRHo2Jx3rx5ePjwIWxsbJCZmYm2bduibt26MDMzw/Tp07WdIxERERHpiEZXQ5ubmyM6OhqHDh3CmTNnkJ+fj+bNm6NTp07azo+IiIiIdEijYrFAhw4d0KFDB23lQkRERESVjNrF4k8//YRRo0bByMgIP/30U4mxQUFBZU6MiIiIiHRP7WJx4cKFGDhwIIyMjLBw4UKVcTKZjMUiERER0RtC7WIxISGh2H8TERER0ZtL42dDExEREdGbT+2RxfHjx6s90wULFmiUDBERERFVLmoXi2fPnlUrTiaTaZwMEREREVUuaheLhw8fLs88iIiIiKgS0ug+i2lpacjLy4OlpaVSe0pKCvT19WFubq6V5IiIiCqdMIWK9rSKzYOogmh0gUv//v0RHh5epP23335D//79y5wUEREREVUOGhWLJ0+eRPv27Yu0t2vXDidPnixzUkRERERUOWhULGZlZSE3N7dIe05ODjIzM8ucFBERERFVDhoViy1btsTPP/9cpH358uXw8PAoc1JEREREVDlodIHL9OnT0alTJ5w7dw4dO3YEABw8eBCxsbGIjIzUaoJEREREpDsajSx6eXkhJiYGjo6O+O2337Br1y7UrVsX58+fx/vvv6/tHImIiIhIRzQaWQSApk2bYuPGjdrMhYiIiIgqGT4bmoiIiIhUYrFIRERERCrptFhctmwZ3N3dYW5uDnNzc3h6euKPP/6QpgshEBYWBgcHBxgbG6Ndu3a4dOmS0jyysrIwbtw4WFlZwdTUFD179sS9e/eUYlJTU+Hv7w+FQgGFQgF/f388fvxYKebOnTvw9fWFqakprKysEBQUhOzs7HJbdyIiIqLXgU6LxZo1a2LWrFk4ffo0Tp8+jQ4dOqBXr15SQThnzhwsWLAAS5YsQWxsLOzs7NC5c2c8efJEmkdwcDC2b9+O8PBwREdH4+nTp/Dx8UFeXp4U4+fnh/j4eERERCAiIgLx8fHw9/eXpufl5aFHjx7IyMhAdHQ0wsPDsXXrVoSEhFTcxiAiIiKqhDS+wAUA/vrrL9y8eRMffPABjI2NIYSATCZT+/2+vr5Kf0+fPh3Lli3DiRMn0KhRIyxatAjffPMN+vTpAwBYt24dbG1tsWnTJowePRppaWlYtWoVfv31V3Tq1AkAsGHDBjg6OuLAgQPo2rUrrly5goiICJw4cQKtWrUCAKxcuRKenp64du0aXFxcEBkZicuXL+Pu3btwcHAAAMyfPx8BAQGYPn06n3VNREREby2NRhYfPXqETp06oX79+ujevTsSExMBACNGjNB4NC4vLw/h4eHIyMiAp6cnEhISkJSUhC5dukgxcrkcbdu2xfHjxwEAcXFxyMnJUYpxcHCAq6urFBMTEwOFQiEVigDQunVrKBQKpRhXV1epUASArl27IisrC3FxcSpzzsrKQnp6utKLiIiI6E2iUbH4xRdfQF9fH3fu3IGJiYnU3q9fP0RERJRqXhcuXEDVqlUhl8vx6aefYvv27WjUqBGSkpIAALa2tkrxtra20rSkpCQYGhrCwsKixBgbG5siy7WxsVGKKbwcCwsLGBoaSjHFmTlzpnQepEKhgKOjY6nWnYiIiKiy0+gwdGRkJPbt24eaNWsqtderVw+3b98u1bxcXFwQHx+Px48fY+vWrRgyZAiioqKk6YUPa6tzqLtwTHHxmsQUNmnSJIwfP176Oz09nQUjERERvVE0GlnMyMhQGlEs8O+//0Iul5dqXoaGhqhbty5atGiBmTNnokmTJvjxxx9hZ2cHAEVG9pKTk6VRQDs7O2RnZyM1NbXEmAcPHhRZ7sOHD5ViCi8nNTUVOTk5RUYcXyaXy6UruQteRERERG8SjYrFDz74AOvXr5f+lslkyM/Px9y5c9G+ffsyJSSEQFZWFpydnWFnZ4f9+/dL07KzsxEVFYU2bdoAADw8PGBgYKAUk5iYiIsXL0oxnp6eSEtLw6lTp6SYkydPIi0tTSnm4sWL0rmXwIvRU7lcDg8PjzKtDxERkVaEKYp/EZUzjQ5Dz507F+3atcPp06eRnZ2NCRMm4NKlS0hJScGxY8fUns/XX3+Nbt26wdHREU+ePEF4eDiOHDmCiIgIyGQyBAcHY8aMGahXrx7q1auHGTNmwMTEBH5+fgAAhUKB4cOHIyQkBNWrV4elpSVCQ0Ph5uYmXR3dsGFDeHt7Y+TIkVixYgUAYNSoUfDx8YGLiwsAoEuXLmjUqBH8/f0xd+5cpKSkIDQ0FCNHjuRoIREREb3VNCoWGzVqhPPnz2PZsmXQ09NDRkYG+vTpgzFjxsDe3l7t+Tx48AD+/v5ITEyEQqGAu7s7IiIi0LlzZwDAhAkTkJmZicDAQKSmpqJVq1aIjIyEmZmZNI+FCxdCX18fffv2RWZmJjp27Ii1a9dCT09Pitm4cSOCgoKkq6Z79uyJJUuWSNP19PSwZ88eBAYGwsvLC8bGxvDz88O8efM02TxEREREbwyZEELoOok3RXp6OhQKBdLS0jgiqUNOE/cU235rVo9yfS8RvSVUHfoNS6u0y9XVvu112afy97tkao8snj9/Xu2Zuru7a5QMEREREVUuaheLTZs2hUwmK3I7mYKByZfbXn7UHhERERG9vtS+GjohIQF///03EhISsHXrVjg7O2Pp0qWIj49HfHw8li5dinfeeQdbt24tz3yJiIiIqAKpPbJYu3Zt6d+ffPIJfvrpJ3Tv3l1qc3d3h6OjIyZPnozevXtrNUkiIiIi0g2N7rN44cIFODs7F2l3dnbG5cuXy5wUEREREVUOGhWLDRs2xA8//IDnz59LbVlZWfjhhx/QsGFDrSVHRERERLql0X0Wly9fDl9fXzg6OqJJkyYAgHPnzkEmk2H37t1aTZCIiIiIdEejYvHdd99FQkICNmzYgKtXr0IIgX79+sHPzw+mpqbazpGIiIiIdESjYhEATExMMGrUKG3mQkREVOk5Pd9UbPutik2DqMJodM4iEREREb0dWCwSERERkUosFomIiIhIJRaLRERERKSSxhe4PH78GP/9739x8+ZNfPnll7C0tMSZM2dga2uLGjVqaDNHIiIi7QtTFNOWVvF5EFVyGhWL58+fR6dOnaBQKHDr1i2MHDkSlpaW2L59O27fvo3169drO08iIiIi0gGNDkOPHz8eAQEBuHHjBoyMjKT2bt264ejRo1pLjoiIiIh0S6NiMTY2FqNHjy7SXqNGDSQlJZU5KSIiIiKqHDQqFo2MjJCenl6k/dq1a7C2ti5zUkRERERUOWh0zmKvXr3w3Xff4bfffgMAyGQy3LlzBxMnTsRHH32k1QSJiIiIT44h3dFoZHHevHl4+PAhbGxskJmZibZt26Ju3bowMzPD9OnTtZ0jEREREemIRiOL5ubmiI6OxqFDh3DmzBnk5+ejefPm6NSpk7bzIyIiIiIdKnWxmJubCyMjI8THx6NDhw7o0KFDeeRFRERERJVAqQ9D6+vro3bt2sjLyyuPfIiIiIioEtHonMVvv/0WkyZNQkpKirbzISIiIqJKRKNzFn/66Sf89ddfcHBwQO3atWFqaqo0/cyZM1pJjoiIiIh0S6NisXfv3lpOg4iIiIgqI42KxalTp2o7DyIiIiKqhDQqFgucPn0aV65cgUwmQ8OGDeHh4aGtvIiIiIioEtCoWLx37x4GDBiAY8eOoVq1agCAx48fo02bNti8eTMcHR21mSMRERER6YhGV0MPGzYMOTk5uHLlClJSUpCSkoIrV65ACIHhw4drO0ciIiIi0hGNRhb//PNPHD9+HC4uLlKbi4sLFi9eDC8vL60lR0RERES6pdHIYq1atZCTk1OkPTc3FzVq1ChzUkRERERUOWhULM6ZMwfjxo3D6dOnIYQA8OJil88//xzz5s3TaoJEREREpDtqH4a2sLCATCaT/s7IyECrVq2gr/9iFrm5udDX18ewYcN4H0YiIqr0nJ5vKtJ2q+LTIKr01C4WFy1apPWFz5w5E9u2bcPVq1dhbGyMNm3aYPbs2UrnQgohMG3aNPz8889ITU1Fq1at8J///AeNGzeWYrKyshAaGorNmzcjMzMTHTt2xNKlS1GzZk0pJjU1FUFBQdi5cycAoGfPnli8eLF0NTcA3LlzB2PGjMGhQ4dgbGwMPz8/zJs3D4aGhlpfdyIiIqLXgdrF4pAhQ7S+8KioKIwZMwYtW7ZEbm4uvvnmG3Tp0gWXL1+WHiE4Z84cLFiwAGvXrkX9+vXxww8/oHPnzrh27RrMzMwAAMHBwdi1axfCw8NRvXp1hISEwMfHB3FxcdDT0wMA+Pn54d69e4iIiAAAjBo1Cv7+/ti1axcAIC8vDz169IC1tTWio6Px6NEjDBkyBEIILF68WOvrTkRERPQ6KNNNuZOTk5GcnIz8/Hyldnd3d7XeX1C4FVizZg1sbGwQFxeHDz74AEIILFq0CN988w369OkDAFi3bh1sbW2xadMmjB49GmlpaVi1ahV+/fVXdOrUCQCwYcMGODo64sCBA+jatSuuXLmCiIgInDhxAq1atQIArFy5Ep6enrh27RpcXFwQGRmJy5cv4+7du3BwcAAAzJ8/HwEBAZg+fTrMzc3LsqmIiIiIXksaXeASFxcHV1dX2Nvbw93dHU2bNpVezZo10ziZtLQ0AIClpSUAICEhAUlJSejSpYsUI5fL0bZtWxw/flzKJScnRynGwcEBrq6uUkxMTAwUCoVUKAJA69atoVAolGJcXV2lQhEAunbtiqysLMTFxRWbb1ZWFtLT05VeRERERG8SjUYWhw4divr162PVqlWwtbVVuvBFU0IIjB8/Hu+99x5cXV0BAElJSQAAW1tbpVhbW1vcvn1bijE0NISFhUWRmIL3JyUlwcbGpsgybWxslGIKL8fCwgKGhoZSTGEzZ87EtGnTSruqRERERK8NjYrFhIQEbNu2DXXr1tVaImPHjsX58+cRHR1dZFrhYlQI8coCtXBMcfGaxLxs0qRJGD9+vPR3eno6H3VIREREbxSNDkN37NgR586d01oS48aNw86dO3H48GGlK5jt7OwAoMjIXnJysjQKaGdnh+zsbKSmppYY8+DBgyLLffjwoVJM4eWkpqYiJyenyIhjAblcDnNzc6UXERER0ZtEo2Lxl19+werVqzFt2jRs3boVO3fuVHqpSwiBsWPHYtu2bTh06BCcnZ2Vpjs7O8POzg779++X2rKzsxEVFYU2bdoAADw8PGBgYKAUk5iYiIsXL0oxnp6eSEtLw6lTp6SYkydPIi0tTSnm4sWLSExMlGIiIyMhl8vh4eFRiq1DRERE9ObQ6DD08ePHER0djT/++KPINJlMhry8PLXmM2bMGGzatAn/+9//YGZmJo3sKRQKGBsbQyaTITg4GDNmzEC9evVQr149zJgxAyYmJvDz85Nihw8fjpCQEFSvXh2WlpYIDQ2Fm5ubdHV0w4YN4e3tjZEjR2LFihUAXtw6x8fHR7qnY5cuXdCoUSP4+/tj7ty5SElJQWhoKEaOHMkRQyIioooWplDRnlaxeZBmxWJQUBD8/f0xefJklYdo1bFs2TIAQLt27ZTa16xZg4CAAADAhAkTkJmZicDAQOmm3JGRkdI9FgFg4cKF0NfXR9++faWbcq9du1a6xyIAbNy4EUFBQdJV0z179sSSJUuk6Xp6etizZw8CAwPh5eWldFNuIiKitxaLtreeRsXio0eP8MUXX5SpUAQgPVe6JDKZDGFhYQgLC1MZY2RkhMWLF5d482xLS0ts2LChxGXVqlULu3fvfmVORERERG8Ljc5Z7NOnDw4fPqztXIiIiIioktFoZLF+/fqYNGkSoqOj4ebmBgMDA6XpQUFBWkmOiIiIiHRLo2Lxl19+QdWqVREVFYWoqCilaTKZjMUiERER0RtC45tyExEREdGbT6NzFl8mhFDrQhUiIiIiev1oXCyuX78ebm5uMDY2hrGxMdzd3fHrr79qMzciIiIi0jGNDkMvWLAAkydPxtixY+Hl5QUhBI4dO4ZPP/0U//77L7744gtt50lEREREOqBRsbh48WIsW7YMgwcPltp69eqFxo0bIywsjMUiERER0RtCo8PQiYmJ0jOVX9amTRulZysTERER0etNo2Kxbt26+O2334q0b9myBfXq1StzUkRERERUOWh0GHratGno168fjh49Ci8vL8hkMkRHR+PgwYPFFpFERERE9HrSaGTxo48+wsmTJ2FlZYUdO3Zg27ZtsLKywqlTp/Dhhx9qO0ciIiIi0hGNRhYBwMPDAxs2bNBmLkRERERUyWhcLBIREdGbz+n5pmLbb1VsGqRDpSoWq1SpAplMVmKMTCZDbm5umZIiIiIiosqhVMXi9u3bVU47fvw4Fi9ezEf/EREREb1BSlUs9urVq0jb1atXMWnSJOzatQsDBw7E999/r7XkiIiIiEi3ND5n8Z9//sHUqVOxbt06dO3aFfHx8XB1ddVmbkRERG+WMIWK9rSKzYOoFEp965y0tDR89dVXqFu3Li5duoSDBw9i165dLBSJiIiI3kClGlmcM2cOZs+eDTs7O2zevLnYw9JERERE9OYoVbE4ceJEGBsbo27duli3bh3WrVtXbNy2bdu0khwRERG9nXjLnsqjVMXi4MGDX3nrHCIiIiJ6c5SqWFy7dm05pUFERERElZFGz4YmIiIiorcDi0UiIiIiUonFIhERERGpxGKRiIiIiFTS+AkuRFQIn8xARERvII4sEhEREZFKLBaJiIiISCUehiYiIqogfCoJvY5YLBIRlReex0pEbwAehiYiIiIilVgsEhEREZFKOi8Wjx49Cl9fXzg4OEAmk2HHjh1K04UQCAsLg4ODA4yNjdGuXTtcunRJKSYrKwvjxo2DlZUVTE1N0bNnT9y7d08pJjU1Ff7+/lAoFFAoFPD398fjx4+VYu7cuQNfX1+YmprCysoKQUFByM7OLo/VJqK3gNPzTcW+iIheJzovFjMyMtCkSRMsWbKk2Olz5szBggULsGTJEsTGxsLOzg6dO3fGkydPpJjg4GBs374d4eHhiI6OxtOnT+Hj44O8vDwpxs/PD/Hx8YiIiEBERATi4+Ph7+8vTc/Ly0OPHj2QkZGB6OhohIeHY+vWrQgJCSm/lSciIiKq5HR+gUu3bt3QrVu3YqcJIbBo0SJ888036NOnDwBg3bp1sLW1xaZNmzB69GikpaVh1apV+PXXX9GpUycAwIYNG+Do6IgDBw6ga9euuHLlCiIiInDixAm0atUKALBy5Up4enri2rVrcHFxQWRkJC5fvoy7d+/CwcEBADB//nwEBARg+vTpMDc3r4CtQURERFS56HxksSQJCQlISkpCly5dpDa5XI62bdvi+PHjAIC4uDjk5OQoxTg4OMDV1VWKiYmJgUKhkApFAGjdujUUCoVSjKurq1QoAkDXrl2RlZWFuLi4YvPLyspCenq60ouIiIjoTaLzkcWSJCUlAQBsbW2V2m1tbXH79m0pxtDQEBYWFkViCt6flJQEGxubIvO3sbFRiim8HAsLCxgaGkoxhc2cORPTpk3TYM2IiF6Bt90hokqiUo8sFpDJZEp/CyGKtBVWOKa4eE1iXjZp0iSkpaVJr7t375aYExEREdHrplIXi3Z2dgBQZGQvOTlZGgW0s7NDdnY2UlNTS4x58OBBkfk/fPhQKabwclJTU5GTk1NkxLGAXC6Hubm50ouIiIjoTVKpi0VnZ2fY2dlh//79Ult2djaioqLQpk0bAICHhwcMDAyUYhITE3Hx4kUpxtPTE2lpaTh16pQUc/LkSaSlpSnFXLx4EYmJiVJMZGQk5HI5PDw8ynU9iYgK4213iKiy0Pk5i0+fPsVff/0l/Z2QkID4+HhYWlqiVq1aCA4OxowZM1CvXj3Uq1cPM2bMgImJCfz8/AAACoUCw4cPR0hICKpXrw5LS0uEhobCzc1Nujq6YcOG8Pb2xsiRI7FixQoAwKhRo+Dj4wMXFxcAQJcuXdCoUSP4+/tj7ty5SElJQWhoKEaOHMkRQ1ILn/lKRERvIp0Xi6dPn0b79u2lv8ePHw8AGDJkCNauXYsJEyYgMzMTgYGBSE1NRatWrRAZGQkzMzPpPQsXLoS+vj769u2LzMxMdOzYEWvXroWenp4Us3HjRgQFBUlXTffs2VPp3o56enrYs2cPAgMD4eXlBWNjY/j5+WHevHnlvQmIiIiIKi2dF4vt2rWDEELldJlMhrCwMISFhamMMTIywuLFi7F48WKVMZaWltiwYUOJudSqVQu7d+9+Zc5EREREbwudF4tERKRlvO0OEWkRi0UiIvo/xRWaLDKJ3mosFomI3jC82IqItKlS3zqHiIiIiHSLI4tERCQpblTyVsWnQUSVCEcWiYiIiEglFotEREREpBKLRSIiIiJSicUiEREREanEYpGIiIiIVGKxSEREREQqsVgkIiIiIpVYLBIRERGRSiwWiYiIiEglFotEREREpBKLRSIiIiJSic+GJiIi7QhTqGhPq9g8iEirWCwSEZFWOD3fVGz7rYpNg4i0jIehiYiIiEglFotEREREpBIPQ1P54flLRERErz0Wi0REJeF/eojoLcfD0ERERESkEkcWiYhKwCt8KzGO+hJVCBaLVG74I0tERPT6Y7FIREQ65zRxT7Htt2b1UP0e/oeUqEKwWCR6W/EQHhERqYEXuBARERGRShxZfFtwFIneBMX1Y/ZhIqJyxWKRiF4bxZ2jdkudN/I/S0REGmOxSPSWepsuDnib1pWISNtYLL4l+GNJREREmuAFLkRERESkEkcWiSoDnlNHRESVFIvFQpYuXYq5c+ciMTERjRs3xqJFi/D+++/rOi16w/E0ASIiqqxYLL5ky5YtCA4OxtKlS+Hl5YUVK1agW7duuHz5MmrVqqXr9HSDI15ERERvNRaLL1mwYAGGDx+OESNGAAAWLVqEffv2YdmyZZg5c6aOs9MNjngRERG93XiBy/+XnZ2NuLg4dOnSRam9S5cuOH78uI6yIiIiItItjiz+f//++y/y8vJga2ur1G5ra4ukpKRi35OVlYWsrCzp77S0F4dm09PTyy9RDeVnPSu2/VW5avq+sr4XAFyn7ivSdnFa13Jd7uv43uK2E/DqbaWLZWJmzeLbJ9175TKB4nOuzJ/Nm/Jedb+zFZ1zWfcx7E9v7ntLq2CeQgitz/tNIBPcMgCAf/75BzVq1MDx48fh6ekptU+fPh2//vorrl69WuQ9YWFhmDZtWkWmSUREROXk7t27qFlTxX9q32IcWfz/rKysoKenV2QUMTk5uchoY4FJkyZh/Pjx0t/5+flISUlB9erVIZPJSlxeeno6HB0dcffuXZibm5d9BcrZ65YvwJwrAvMtf8y5fL1OuRZgztonhMCTJ0/g4OCg61QqJRaL/5+hoSE8PDywf/9+fPjhh1L7/v370atXr2LfI5fLIZfLldqqVatWquWam5tXyi+OKq9bvgBzrgjMt/wx5/L1OuVagDlrl0Kh4u4fxGLxZePHj4e/vz9atGgBT09P/Pzzz7hz5w4+/fRTXadGREREpBMsFl/Sr18/PHr0CN999x0SExPh6uqKvXv3onbt2rpOjYiIiEgnWCwWEhgYiMDAwHJfjlwux9SpU4scxq6sXrd8AeZcEZhv+WPO5et1yrUAc6aKxquhiYiIiEgl3pSbiIiIiFRisUhEREREKrFYJCIiIiKVWCySSjKZDDt27NB1GkRlwn5MbwL2Y9IlFosaOH78OPT09ODt7a21ea5cuRLvv/8+LCwsYGFhgU6dOuHUqVNKMUePHoWvry8cHBw02nEEBASgd+/eGuV369YtDB8+HM7OzjA2NsY777yDqVOnIjs7Wynu888/h4eHB+RyOZo2barRsoAXj1waPnw4HBwcYGhoiNq1a+Pzzz/Ho0eP1Hr/kSNHIJPJ8PjxY6X2mTNnomXLljAzM4ONjQ169+6Na9euKcVs27YNXbt2hZWVFWQyGeLj49VaZlm2b3GOHDmCXr16wd7eHqampmjatCk2btxYJNfOnTvD2toa5ubm8PT0xL59xT+3uTBd9WN1PoOSlHc/PnfuHAYMGABHR0cYGxujYcOG+PHHHzVanq76cU5ODr766iu4ubnB1NQUDg4OGDx4MP75558Sl6eLPhwdHQ0vLy9Ur14dxsbGaNCgARYuXKj2MnTVj5ctWwZ3d3fpJtOenp74448/1F5GeffjR48ewdvbGw4ODpDL5XB0dMTYsWNL/VxlXe6Lw8LC0KBBA5iamkqfw8mTJ0uVP2kHi0UNrF69GuPGjUN0dDTu3LlTpnnl5eUhPz8fR44cwYABA3D48GHExMSgVq1a6NKlC+7fvy/FZmRkoEmTJliyZElZV6HUrl69ivz8fKxYsQKXLl3CwoULsXz5cnz99ddKcUIIDBs2DP369dN4WX///TdatGiB69evY/Pmzfjrr7+wfPlyHDx4EJ6enkhJSdF43lFRURgzZgxOnDiB/fv3Izc3F126dEFGRoYUk5GRAS8vL8yaNUvj5WjD8ePH4e7ujq1bt+L8+fMYNmwYBg8ejF27dkkxR48eRefOnbF3717ExcWhffv28PX1xdmzZ185f131Y3U+g/KiTj+Oi4uDtbU1NmzYgEuXLuGbb77BpEmTSv2902U/fvbsGc6cOYPJkyfjzJkz2LZtG65fv46ePXtqvExNqNOHTU1NMXbsWBw9ehRXrlzBt99+i2+//RY///yzWsvQVT+uWbMmZs2ahdOnT+P06dPo0KEDevXqhUuXLpUpB3Wo04+rVKmCXr16YefOnbh+/TrWrl2LAwcOlOohE7reF9evXx9LlizBhQsXEB0dDScnJ3Tp0gUPHz7UeLmkIUGl8vTpU2FmZiauXr0q+vXrJ6ZNmyZNO3z4sAAgdu/eLdzd3YVcLhfvvvuuOH/+vBSzZs0aoVAoxK5du0TDhg2Fnp6e+Pvvv4ssJzc3V5iZmYl169YVmwcAsX379lLlPmTIENGrVy8hhBC1a9cWCxcuVJrepEkTMXXqVLWXMWfOHOHs7FzstKlTp4omTZqUKr8C3t7eombNmuLZs2dK7YmJicLExER8+umnQgghnj9/Lr788ktRs2ZNYWhoKOrWrSt++eUXkZCQIAAovYYMGVLsspKTkwUAERUVVWRawXzOnj2rVt4vb98//vhDeHl5CYVCISwtLUWPHj3EX3/9VWTeW7duFe3atRPGxsbC3d1dHD9+vMRldO/eXQwdOrTEmEaNGin1y+JUln4sRMmfQXEqsh8XCAwMFO3bt1crvwKVpR8XOHXqlAAgbt++rTKmsvThDz/8UAwaNKjEGCEqVz8WQggLCwvxyy+/vDJvIXTTj3/88UdRs2ZNtfITovL14bS0NAFAHDhwQO11IO3gyGIpbdmyBS4uLnBxccGgQYOwZs0aiEK3qvzyyy8xb948xMbGwsbGBj179kROTo40/dmzZ5g5cyZ++eUXXLp0CTY2NkWW8+zZM+Tk5MDS0rLc10lTaWlpWs8vJSUF+/btQ2BgIIyNjZWm2dnZYeDAgdiyZQuEEBg8eDDCw8Px008/4cqVK1i+fDmqVq0KR0dHbN26FQBw7do1JCYmqjyMmJaWBgBaX4+MjAyMHz8esbGxOHjwIKpUqYIPP/wQ+fn5SnHffPMNQkNDER8fj/r162PAgAHIzc1VOd9XbfP8/Hw8efLkletTmfpxeX0G6lKnH5e2r1fGfpyWlgaZTKb28+t11YfPnj2L48ePo23btq/MsbL047y8PISHhyMjIwOenp6vzLs8vGq7/vPPP9i2bZta2xWofH04OzsbP//8MxQKBZo0aaLWOpAW6bJSfR21adNGLFq0SAghRE5OjrCyshL79+8XQvzf/2TDw8Ol+EePHgljY2OxZcsWIcSL/8kCEPHx8SUuJzAwULzzzjsiMzOz2OnQ8cjiX3/9JczNzcXKlSuLna7pyOKJEydKXO6CBQsEAHHy5EkBQNr2hRV8FqmpqSqXlZ+fL3x9fcV7771X7PSyjCwWVvC/5gsXLijN++VRiEuXLgkA4sqVK8XO4/fffxeGhobi4sWLKnOYM2eOsLS0FA8ePCgx18rSj1/1GRSnIvuxEEIcP35cGBgYiMjISLVzrEz9WAghMjMzhYeHhxg4cGCJeeuyD9eoUUMYGhqKKlWqiO+++67EPAvouh+fP39emJqaCj09PaFQKMSePXvUyluIiuvH/fv3F8bGxgKA8PX1VfldLKyy9OFdu3YJU1NTIZPJhIODgzh16pRa+ZN2cWSxFK5du4ZTp06hf//+AAB9fX3069cPq1evVop7+X+WlpaWcHFxwZUrV6Q2Q0NDuLu7q1zOnDlzsHnzZmzbtg1GRkZaXouy++eff+Dt7Y1PPvkEI0aMqNBli/8/apCQkAA9PT21/5dcnLFjx+L8+fPYvHmzttKT3Lx5E35+fqhTpw7Mzc3h7OwMAEXOqXq5H9jb2wMAkpOTi8zvyJEjCAgIwMqVK9G4ceNil7l582aEhYVhy5YtxY6OFKhM/bg8P4NXUacfX7p0Cb169cKUKVPQuXNnrS27IvtxTk4O+vfvj/z8fCxdulTt+VZ0H/7zzz9x+vRpLF++HIsWLXpln6gM/djFxQXx8fE4ceIEPvvsMwwZMgSXL18uMW9te1U/XrhwIc6cOYMdO3bg5s2bGD9+vFaWW1F9uH379oiPj8fx48fh7e2Nvn37Ftu/qHzx2dClsGrVKuTm5qJGjRpSmxACBgYGSE1NLfG9MplM+rexsbHS3y+bN28eZsyYgQMHDpS4AyurKlWqFDlc8/KhGVX++ecftG/fHp6enmqfgF4adevWhUwmw+XLl4u9UvDq1auwsLCAiYlJmZYzbtw47Ny5E0ePHkXNmjXLNK/i+Pr6wtHREStXroSDgwPy8/Ph6upa5OpxAwMD6d8FfaLwYb6oqCj4+vpiwYIFGDx4cLHL27JlC4YPH47ff/8dnTp1KjG3ytKPtfEZlGc/vnz5Mjp06ICRI0fi22+/LVVelaUf5+TkoG/fvkhISMChQ4dgbm6u9rwrug8XFKNubm548OABwsLCMGDAAJX5VYZ+bGhoiLp16wIAWrRogdjYWPz4449YsWJFicsvrDz7sZ2dHezs7NCgQQNUr14d77//PiZPniwV9qpUlj5samqKunXrom7dumjdujXq1auHVatWYdKkSWVaLpUORxbVlJubi/Xr12P+/PmIj4+XXufOnUPt2rWVbgdx4sQJ6d+pqam4fv06GjRo8MplzJ07F99//z0iIiLQokWLclmPAtbW1khMTJT+Tk9PR0JCQonvuX//Ptq1a4fmzZtjzZo1qFJF+92nevXq6Ny5M5YuXYrMzEylaUlJSdi4cSP69esHNzc35OfnIyoqqtj5GBoaAnhxLtHLhBAYO3Ystm3bhkOHDkk/UNr06NEj6arOjh07omHDhq/88VLlyJEj6NGjB2bNmoVRo0YVG7N582YEBARg06ZN6NGjR4nzqwz9WJufQXn140uXLqF9+/YYMmQIpk+fXuq8KkM/LigUb9y4gQMHDqB69epq51/RfbgwIQSysrJUTq8M/ViTvFWpqP1xQUGqTo6VoQ+rWgdNtjGVUYUf+H5Nbd++XRgaGorHjx8Xmfb111+Lpk2bSudmNG7cWBw4cEBcuHBB9OzZU9SqVUtkZWUJIf7v6rvCZs+eLQwNDcV///tfkZiYKL2ePHkixTx58kScPXtWnD17VgAQCxYsEGfPni3x6saXvXyOzMSJE4WdnZ04evSouHDhgujdu7eoWrWqynNk7t+/L+rWrSs6dOgg7t27p5Tjy27cuCHOnj0rRo8eLerXry/lW7D+6rh+/bqwsrIS77//voiKihJ37twRf/zxh3B1dRX16tUTjx49EkIIERAQIBwdHcX27dvF33//LQ4fPiydi3Tv3j0hk8nE2rVrRXJysrQdP/vsM6FQKMSRI0eU1uHlq/0ePXokzp49K/bs2SOd83T27Nki66pq++bl5Ynq1auLQYMGiRs3boiDBw+Kli1bKm3P4s6HTE1NFQDE4cOHhRAvzvUxMTERkyZNUsq1YP2FEGLTpk1CX19f/Oc//1GKKa6fClE5+rE6n4E621mI8unHFy9eFNbW1mLgwIFK05OTk9XKr4Au+3FOTo7o2bOnqFmzpoiPj1eKKem7qIs+vGTJErFz505x/fp1cf36dbF69Wphbm4uvvnmG5V5VoZ+PGnSJHH06FGRkJAgzp8/L77++mtRpUoVtc9tLe9+vGfPHrF69Wpx4cIFkZCQIPbs2SMaN24svLy81MpPCN324adPn4pJkyaJmJgYcevWLREXFyeGDx8u5HJ5iedtU/lgsagmHx8f0b1792KnxcXFCQBi/vz5AoDYtWuXaNy4sTA0NBQtW7ZUOnla1c6pdu3aRW4xAEBpZ1Gw8yv8UnUrgsL8/f3FRx99JIR4cQuCvn37CnNzc+Ho6CjWrl1b4gnVBSeCF/d6Wdu2bYuNSUhIUCvHArdu3RIBAQHCzs5OGBgYCEdHRzFu3Djx77//SjGZmZniiy++EPb29tLtGlavXi1N/+6774SdnZ2QyWTSNlK1DmvWrJHep2pdX942r9q++/fvFw0bNhRyuVy4u7uLI0eOlPqHdsiQIcXm0bZt21dub1V9ojL0Y3U+g5KUdz+eOnVqsdNr166tVn4v01U/Lu6WJQWvgv71qm1bUX34p59+Eo0bNxYmJibC3NxcNGvWTCxdulTk5eWpzLMy9ONhw4aJ2rVrC0NDQ2FtbS06duxYqougyrsfHzp0SHh6egqFQiGMjIxEvXr1xFdffVXihSbF0VUfzszMFB9++KFwcHAQhoaGwt7eXvTs2ZMXuOiITIhCJ0qQxo4cOYL27dsjNTVV7dtTVCRvb2/UrVtXJzf1fhu8KduX/fjt9SZtW/ZjIu3hOYtvgdTUVOzZswdHjhx55cUPVHrcvhWD27n8cNtWHG5reh3xaui3wLBhwxAbG4uQkBD06tVL1+m8cbh9Kwa3c/nhtq043Nb0OuJhaCIiIiJSiYehiYiIiEglFotEREREpBKLRSIiIiJSicUiEREREanEYpGIqAyOHDkCmUyGx48f6zoVIqJywWKRiN46AQEBkMlk+PTTT4tMCwwMhEwmQ0BAgFrzatOmDRITE6FQKLScJRFR5cBikYjeSo6OjggPD0dmZqbU9vz5c2zevBm1atVSez6Ghoaws7ODTCYrjzSJiHSOxSIRvZWaN2+OWrVqYdu2bVLbtm3b4OjoiGbNmkltWVlZCAoKgo2NDYyMjPDee+8hNjZWml74MPTt27fh6+sLCwsLmJqaonHjxti7d2+FrRcRkbaxWCSit9bQoUOxZs0a6e/Vq1dj2LBhSjETJkzA1q1bsW7dOpw5cwZ169ZF165dkZKSUuw8x4wZg6ysLBw9ehQXLlzA7NmzUbVq1XJdDyKi8sRikYjeWv7+/oiOjsatW7dw+/ZtHDt2DIMGDZKmZ2RkYNmyZZg7dy66deuGRo0aYeXKlTA2NsaqVauKneedO3fg5eUFNzc31KlTBz4+Pvjggw8qapWIiLSOz4YmoreWlZUVevTogXXr1kEIgR49esDKykqafvPmTeTk5MDLy0tqMzAwwLvvvosrV64UO8+goCB89tlniIyMRKdOnfDRRx/B3d293NeFiKi8cGSRiN5qw4YNw9q1a7Fu3boih6CFEABQ5OIVIYTKC1pGjBiBv//+G/7+/rhw4QJatGiBxYsXl0/yREQVgMUiEb3VvL29kZ2djezsbHTt2lVpWt26dWFoaIjo6GipLScnB6dPn0bDhg1VztPR0RGffvoptm3bhpCQEKxcubLc8iciKm88DE1EbzU9PT3pkLKenp7SNFNTU3z22Wf48ssvYWlpiVq1amHOnDl49uwZhg8fXuz8goOD0a1bN9SvXx+pqak4dOhQiYUlEVFlx2KRiN565ubmKqfNmjUL+fn58Pf3x5MnT9CiRQvs27cPFhYWxcbn5eVhzJgxuHfvHszNzeHt7Y2FCxeWV+pEROVOJgpOyiEiIiIiKoTnLBIRERGRSiwWiYiIiEglFotEREREpBKLRSIiIiJSicUiEREREanEYpGIiIiIVGKxSEREREQqsVgkIiIiIpVYLBIRERGRSiwWiYiIiEglFotEREREpBKLRSIiIiJS6f8BH0vuMarBgtYAAAAASUVORK5CYII=",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]