evaluate.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "file_path = 'dev-sample.jsonl'\n",
    "dataset = []\n",
    "with open(file_path, 'r') as file:\n",
    "    for line in file:\n",
    "        data = json.loads(line)\n",
    "        dataset.append(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from utils.preprocess import write_jsonl, preprocess_NQ\n",
    "processed_dataset = preprocess_NQ(dataset)\n",
    "write_jsonl('processed_data/evaluation_dataset.jsonl', processed_dataset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from retrieval_judge import RetrievalJudge\n",
    "retrieval_judge = RetrievalJudge()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_texts = retrieval_judge.get_pages()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i,txt in enumerate(all_texts):\n",
    "    with open(f'articles/{i}.txt', 'w') as file:\n",
    "        file.write(txt)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### With Llama Index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "from llama_index.core import VectorStoreIndex, SimpleDirectoryReader\n",
    "from llama_index.core.node_parser import SentenceSplitter\n",
    "\n",
    "documents = SimpleDirectoryReader(\"articles\").load_data()\n",
    "index = VectorStoreIndex.from_documents(documents, transformations=[SentenceSplitter(chunk_size=512, chunk_overlap=200)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "from llama_index.postprocessor.cohere_rerank import CohereRerank\n",
    "import os\n",
    "\n",
    "api_key = os.environ[\"COHERE_API_KEY\"]\n",
    "cohere_rerank = CohereRerank(api_key=api_key, top_n=5)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "retriever = index.as_retriever(similarity_top_k=5)\n",
    "retriever_w_reranker = index.as_query_engine(\n",
    "    similarity_top_k=10,\n",
    "    node_postprocessors=[cohere_rerank],\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 200/200 [06:44<00:00,  2.02s/it]\n"
     ]
    }
   ],
   "source": [
    "import tqdm\n",
    "all_responses = []\n",
    "all_responses_w_reranker = []\n",
    "for elements in tqdm.tqdm(retrieval_judge.ref_data):\n",
    "    query_bundle = QueryBundle(query_str=f\"{elements.question}?\")\n",
    "    response = retriever.retrieve(query_bundle)\n",
    "    response_w_reranker = retriever_w_reranker.retrieve(query_bundle)\n",
    "    all_responses.append([r.text for r in response])\n",
    "    all_responses_w_reranker.append([r.text for r in response_w_reranker])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### With Quivr-Core"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [],
   "source": [
    "import nest_asyncio\n",
    "nest_asyncio.apply()\n",
    "from quivr_core import Brain\n",
    "file_paths = [f\"articles/{path}\" for path in os.listdir(\"articles\")]\n",
    "brain = Brain.from_files(name=\"test_brain\", file_paths=file_paths)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[SearchResult(chunk=Document(metadata={'source': 'articles/46.txt'}, page_content=\"<Li>\\n Jump up ^ Charles Picqué , Minister - President of the Brussels - Capital Region said in a September , 2008 declaration in Namur at the National Walloon Feast : It is , besides , impossible to have a debate about the institutions of Belgium in which Brussels would be excluded . ( French Il n'est d'ailleurs , pas question d'imaginer un débat institutionnel dont Bruxelles serait exclu. ( 1 ) ) The Brussels - Capital Region has claimed and obtained a special place in the current negotiations about the reformation of the Belgian state . ( French Pendant 18 ans , Bruxelles est demeurée sans statut ( ... ) L'absence de statut pour Bruxelles s'expliquait par la différence de vision que partis flamands et partis francophones en avaient : ( les partis flamands étaient ) allergiques à la notion de Région ( ... ) les francophones ( ... ) considéraient que Bruxelles devait devenir une Région à part entière ( ... ) Les partis flamands ont accepté ( en 1988 ) la création d'une troisième Région et l'exercice par celle - ci des mêmes compétences que celles des deux autres ... C.E. Lagasse , Les nouvelles institutions politiques de la Belgique et de l'Europe , Erasme , Namur , 2003 , pp. 177 - 178 ISBN ) </Li>\\n <Li>\\n Jump up ^ `` Brussels '' . Encyclopædia Britannica . </Li>\\n <Li>\\n Jump up ^ `` Bruxelles dans l'oeil du cyclone '' ( in French ) . France 2 . </Li>\"), score=0.3630293607711792), SearchResult(chunk=Document(metadata={'source': 'articles/46.txt'}, page_content=\"<Li>\\n Jump up ^ Charles Picqué , Minister - President of the Brussels - Capital Region said in a September , 2008 declaration in Namur at the National Walloon Feast : It is , besides , impossible to have a debate about the institutions of Belgium in which Brussels would be excluded . ( French Il n'est d'ailleurs , pas question d'imaginer un débat institutionnel dont Bruxelles serait exclu. ( 1 ) ) The Brussels - Capital Region has claimed and obtained a special place in the current negotiations about the reformation of the Belgian state . ( French Pendant 18 ans , Bruxelles est demeurée sans statut ( ... ) L'absence de statut pour Bruxelles s'expliquait par la différence de vision que partis flamands et partis francophones en avaient : ( les partis flamands étaient ) allergiques à la notion de Région ( ... ) les francophones ( ... ) considéraient que Bruxelles devait devenir une Région à part entière ( ... ) Les partis flamands ont accepté ( en 1988 ) la création d'une troisième Région et l'exercice par celle - ci des mêmes compétences que celles des deux autres ... C.E. Lagasse , Les nouvelles institutions politiques de la Belgique et de l'Europe , Erasme , Namur , 2003 , pp. 177 - 178 ISBN ) </Li>\\n <Li>\\n Jump up ^ `` Brussels '' . Encyclopædia Britannica . </Li>\\n <Li>\\n Jump up ^ `` Bruxelles dans l'oeil du cyclone '' ( in French ) . France 2 . </Li>\"), score=0.3630293607711792), SearchResult(chunk=Document(metadata={'source': 'articles/73.txt'}, page_content='Paris , France </Td>\\n <Td>\\n Cherbourg </Td>\\n <Td>\\n New York City </Td>\\n <Td>\\n </Td>\\n <Td>\\n </Td>\\n </Tr>\\n <Tr>\\n <Td>\\n and chauffeur , Mr. René Pernot </Td>\\n <Td>\\n 39 </Td>\\n <Td>\\n Paris , France </Td>\\n <Td>\\n Cherbourg </Td>\\n <Td>\\n New York City </Td>\\n <Td>\\n </Td>\\n <Td>\\n </Td>\\n </Tr>\\n <Tr>\\n <Td>\\n Harder , Mr. George Achilles </Td>\\n <Td>\\n 25 </Td>\\n <Td>\\n New York City </Td>\\n <Td>\\n Cherbourg </Td>\\n <Td>\\n New York City </Td>\\n <Td>\\n 5 </Td>\\n <Td>\\n </Td>\\n </Tr>\\n <Tr>\\n <Td>\\n Harder , Mrs. Dorothy ( née Annan ) </Td>\\n <Td>\\n 21 </Td>\\n <Td>\\n New York City </Td>\\n <Td>\\n Cherbourg </Td>\\n <Td>\\n New York City </Td>\\n <Td>\\n 5 </Td>\\n <Td>\\n </Td>\\n </Tr>\\n <Tr>\\n <Td>\\n Harper , Mr. Henry Sleeper </Td>\\n <Td>\\n 48 </Td>\\n <Td>\\n New York City </Td>'), score=0.4038267135620117), SearchResult(chunk=Document(metadata={'source': 'articles/73.txt'}, page_content='Paris , France </Td>\\n <Td>\\n Cherbourg </Td>\\n <Td>\\n New York City </Td>\\n <Td>\\n </Td>\\n <Td>\\n </Td>\\n </Tr>\\n <Tr>\\n <Td>\\n and chauffeur , Mr. René Pernot </Td>\\n <Td>\\n 39 </Td>\\n <Td>\\n Paris , France </Td>\\n <Td>\\n Cherbourg </Td>\\n <Td>\\n New York City </Td>\\n <Td>\\n </Td>\\n <Td>\\n </Td>\\n </Tr>\\n <Tr>\\n <Td>\\n Harder , Mr. George Achilles </Td>\\n <Td>\\n 25 </Td>\\n <Td>\\n New York City </Td>\\n <Td>\\n Cherbourg </Td>\\n <Td>\\n New York City </Td>\\n <Td>\\n 5 </Td>\\n <Td>\\n </Td>\\n </Tr>\\n <Tr>\\n <Td>\\n Harder , Mrs. Dorothy ( née Annan ) </Td>\\n <Td>\\n 21 </Td>\\n <Td>\\n New York City </Td>\\n <Td>\\n Cherbourg </Td>\\n <Td>\\n New York City </Td>\\n <Td>\\n 5 </Td>\\n <Td>\\n </Td>\\n </Tr>\\n <Tr>\\n <Td>\\n Harper , Mr. Henry Sleeper </Td>\\n <Td>\\n 48 </Td>\\n <Td>\\n New York City </Td>'), score=0.4038267135620117), SearchResult(chunk=Document(metadata={'source': 'articles/46.txt'}, page_content=\"<Li>\\n Jump up ^ Bill Edmonds , `` ' Federalism ' and Urban Revolt in France in 1793 , '' Journal of Modern History ( 1983 ) 55 # 1 pp 22 - 53 in JSTOR </Li>\\n <Li>\\n Jump up ^ François Furet and Mona Ozouf , eds . A Critical Dictionary of the French Revolution ( 1989 ) , pp. 54 - 64 </Li>\\n <Li>\\n Jump up ^ Kelemen , R. Daniel ( September 2005 ) . `` Built to Last ? The durability of EU federalism '' ( PDF ) . Princeton University . Archived from the original ( PDF ) on 2013 - 01 - 20 . Retrieved 2011 - 11 - 28 . </Li>\\n <Li>\\n Jump up ^ Bernt Engelmann , Einig gegen Recht und Freiheit , p7ff , publ . Goldmann , Munich 1975 </Li>\\n <Li>\\n Jump up ^ `` THE CONSTITUTION OF THE UNITED STATES OF AMERICA With Explanatory Notes '' . U.S. Department of State 's Bureau of International Information Programs . </Li>\\n <Li>\\n Jump up ^ ( in Dutch ) '' Taalgebruik in Brussel en de plaats van het Nederlands . Enkele recente bevindingen '' , Rudi Janssens , Brussels Studies , Nummer 13 , 7 January 2008 ( see page 4 ) . </Li>\\n <Li>\\n Jump up ^ See : Witte , Els & Craeybeckx , Jan . Politieke geschiedenis van België . Antwerpen , SWU , pp. 455 , 459 - 460 . </Li>\\n <Li>\"), score=0.43923220038414)]\n"
     ]
    }
   ],
   "source": [
    "test = await brain.asearch(\"What is the capital of France?\")\n",
    "print(test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "page_content='<Li>\n",
      " Jump up ^ Charles Picqué , Minister - President of the Brussels - Capital Region said in a September , 2008 declaration in Namur at the National Walloon Feast : It is , besides , impossible to have a debate about the institutions of Belgium in which Brussels would be excluded . ( French Il n'est d'ailleurs , pas question d'imaginer un débat institutionnel dont Bruxelles serait exclu. ( 1 ) ) The Brussels - Capital Region has claimed and obtained a special place in the current negotiations about the reformation of the Belgian state . ( French Pendant 18 ans , Bruxelles est demeurée sans statut ( ... ) L'absence de statut pour Bruxelles s'expliquait par la différence de vision que partis flamands et partis francophones en avaient : ( les partis flamands étaient ) allergiques à la notion de Région ( ... ) les francophones ( ... ) considéraient que Bruxelles devait devenir une Région à part entière ( ... ) Les partis flamands ont accepté ( en 1988 ) la création d'une troisième Région et l'exercice par celle - ci des mêmes compétences que celles des deux autres ... C.E. Lagasse , Les nouvelles institutions politiques de la Belgique et de l'Europe , Erasme , Namur , 2003 , pp. 177 - 178 ISBN ) </Li>\n",
      " <Li>\n",
      " Jump up ^ `` Brussels '' . Encyclopædia Britannica . </Li>\n",
      " <Li>\n",
      " Jump up ^ `` Bruxelles dans l'oeil du cyclone '' ( in French ) . France 2 . </Li>' metadata={'source': 'articles/46.txt'}\n",
      "page_content='<Li>\n",
      " Jump up ^ Charles Picqué , Minister - President of the Brussels - Capital Region said in a September , 2008 declaration in Namur at the National Walloon Feast : It is , besides , impossible to have a debate about the institutions of Belgium in which Brussels would be excluded . ( French Il n'est d'ailleurs , pas question d'imaginer un débat institutionnel dont Bruxelles serait exclu. ( 1 ) ) The Brussels - Capital Region has claimed and obtained a special place in the current negotiations about the reformation of the Belgian state . ( French Pendant 18 ans , Bruxelles est demeurée sans statut ( ... ) L'absence de statut pour Bruxelles s'expliquait par la différence de vision que partis flamands et partis francophones en avaient : ( les partis flamands étaient ) allergiques à la notion de Région ( ... ) les francophones ( ... ) considéraient que Bruxelles devait devenir une Région à part entière ( ... ) Les partis flamands ont accepté ( en 1988 ) la création d'une troisième Région et l'exercice par celle - ci des mêmes compétences que celles des deux autres ... C.E. Lagasse , Les nouvelles institutions politiques de la Belgique et de l'Europe , Erasme , Namur , 2003 , pp. 177 - 178 ISBN ) </Li>\n",
      " <Li>\n",
      " Jump up ^ `` Brussels '' . Encyclopædia Britannica . </Li>\n",
      " <Li>\n",
      " Jump up ^ `` Bruxelles dans l'oeil du cyclone '' ( in French ) . France 2 . </Li>' metadata={'source': 'articles/46.txt'}\n",
      "page_content='Paris , France </Td>\n",
      " <Td>\n",
      " Cherbourg </Td>\n",
      " <Td>\n",
      " New York City </Td>\n",
      " <Td>\n",
      " </Td>\n",
      " <Td>\n",
      " </Td>\n",
      " </Tr>\n",
      " <Tr>\n",
      " <Td>\n",
      " and chauffeur , Mr. René Pernot </Td>\n",
      " <Td>\n",
      " 39 </Td>\n",
      " <Td>\n",
      " Paris , France </Td>\n",
      " <Td>\n",
      " Cherbourg </Td>\n",
      " <Td>\n",
      " New York City </Td>\n",
      " <Td>\n",
      " </Td>\n",
      " <Td>\n",
      " </Td>\n",
      " </Tr>\n",
      " <Tr>\n",
      " <Td>\n",
      " Harder , Mr. George Achilles </Td>\n",
      " <Td>\n",
      " 25 </Td>\n",
      " <Td>\n",
      " New York City </Td>\n",
      " <Td>\n",
      " Cherbourg </Td>\n",
      " <Td>\n",
      " New York City </Td>\n",
      " <Td>\n",
      " 5 </Td>\n",
      " <Td>\n",
      " </Td>\n",
      " </Tr>\n",
      " <Tr>\n",
      " <Td>\n",
      " Harder , Mrs. Dorothy ( née Annan ) </Td>\n",
      " <Td>\n",
      " 21 </Td>\n",
      " <Td>\n",
      " New York City </Td>\n",
      " <Td>\n",
      " Cherbourg </Td>\n",
      " <Td>\n",
      " New York City </Td>\n",
      " <Td>\n",
      " 5 </Td>\n",
      " <Td>\n",
      " </Td>\n",
      " </Tr>\n",
      " <Tr>\n",
      " <Td>\n",
      " Harper , Mr. Henry Sleeper </Td>\n",
      " <Td>\n",
      " 48 </Td>\n",
      " <Td>\n",
      " New York City </Td>' metadata={'source': 'articles/73.txt'}\n",
      "page_content='Paris , France </Td>\n",
      " <Td>\n",
      " Cherbourg </Td>\n",
      " <Td>\n",
      " New York City </Td>\n",
      " <Td>\n",
      " </Td>\n",
      " <Td>\n",
      " </Td>\n",
      " </Tr>\n",
      " <Tr>\n",
      " <Td>\n",
      " and chauffeur , Mr. René Pernot </Td>\n",
      " <Td>\n",
      " 39 </Td>\n",
      " <Td>\n",
      " Paris , France </Td>\n",
      " <Td>\n",
      " Cherbourg </Td>\n",
      " <Td>\n",
      " New York City </Td>\n",
      " <Td>\n",
      " </Td>\n",
      " <Td>\n",
      " </Td>\n",
      " </Tr>\n",
      " <Tr>\n",
      " <Td>\n",
      " Harder , Mr. George Achilles </Td>\n",
      " <Td>\n",
      " 25 </Td>\n",
      " <Td>\n",
      " New York City </Td>\n",
      " <Td>\n",
      " Cherbourg </Td>\n",
      " <Td>\n",
      " New York City </Td>\n",
      " <Td>\n",
      " 5 </Td>\n",
      " <Td>\n",
      " </Td>\n",
      " </Tr>\n",
      " <Tr>\n",
      " <Td>\n",
      " Harder , Mrs. Dorothy ( née Annan ) </Td>\n",
      " <Td>\n",
      " 21 </Td>\n",
      " <Td>\n",
      " New York City </Td>\n",
      " <Td>\n",
      " Cherbourg </Td>\n",
      " <Td>\n",
      " New York City </Td>\n",
      " <Td>\n",
      " 5 </Td>\n",
      " <Td>\n",
      " </Td>\n",
      " </Tr>\n",
      " <Tr>\n",
      " <Td>\n",
      " Harper , Mr. Henry Sleeper </Td>\n",
      " <Td>\n",
      " 48 </Td>\n",
      " <Td>\n",
      " New York City </Td>' metadata={'source': 'articles/73.txt'}\n",
      "page_content='<Li>\n",
      " Jump up ^ Bill Edmonds , `` ' Federalism ' and Urban Revolt in France in 1793 , '' Journal of Modern History ( 1983 ) 55 # 1 pp 22 - 53 in JSTOR </Li>\n",
      " <Li>\n",
      " Jump up ^ François Furet and Mona Ozouf , eds . A Critical Dictionary of the French Revolution ( 1989 ) , pp. 54 - 64 </Li>\n",
      " <Li>\n",
      " Jump up ^ Kelemen , R. Daniel ( September 2005 ) . `` Built to Last ? The durability of EU federalism '' ( PDF ) . Princeton University . Archived from the original ( PDF ) on 2013 - 01 - 20 . Retrieved 2011 - 11 - 28 . </Li>\n",
      " <Li>\n",
      " Jump up ^ Bernt Engelmann , Einig gegen Recht und Freiheit , p7ff , publ . Goldmann , Munich 1975 </Li>\n",
      " <Li>\n",
      " Jump up ^ `` THE CONSTITUTION OF THE UNITED STATES OF AMERICA With Explanatory Notes '' . U.S. Department of State 's Bureau of International Information Programs . </Li>\n",
      " <Li>\n",
      " Jump up ^ ( in Dutch ) '' Taalgebruik in Brussel en de plaats van het Nederlands . Enkele recente bevindingen '' , Rudi Janssens , Brussels Studies , Nummer 13 , 7 January 2008 ( see page 4 ) . </Li>\n",
      " <Li>\n",
      " Jump up ^ See : Witte , Els & Craeybeckx , Jan . Politieke geschiedenis van België . Antwerpen , SWU , pp. 455 , 459 - 460 . </Li>\n",
      " <Li>' metadata={'source': 'articles/46.txt'}\n"
     ]
    }
   ],
   "source": [
    "for el in test:\n",
    "    print(el.chunk)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "252"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(test[0].chunk.page_content.split(\" \"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 200/200 [01:05<00:00,  3.06it/s]\n"
     ]
    }
   ],
   "source": [
    "import tqdm\n",
    "all_quivr_responses = []\n",
    "for elements in tqdm.tqdm(retrieval_judge.ref_data):\n",
    "    quivr_response = await brain.asearch(f\"{elements.question}?\")\n",
    "    all_quivr_responses.append([r.chunk.page_content for r in quivr_response])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Evaluation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 200/200 [00:01<00:00, 110.28it/s]\n",
      "100%|██████████| 200/200 [00:01<00:00, 115.81it/s]\n",
      "100%|██████████| 200/200 [00:01<00:00, 149.70it/s]\n"
     ]
    }
   ],
   "source": [
    "retrieval_judge.evaluate(all_responses)\n",
    "results = retrieval_judge.results\n",
    "retrieval_judge.evaluate(all_responses_w_reranker)\n",
    "results_reranker = retrieval_judge.results\n",
    "retrieval_judge.evaluate(all_quivr_responses)\n",
    "results_quivr = retrieval_judge.results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "({'top_1': 0.6749234859019634,\n",
       "  'top_2': 0.7283116679750324,\n",
       "  'top_3': 0.7538766805501358,\n",
       "  'top_4': 0.7705512822089812,\n",
       "  'top_5': 0.7796384776932355},\n",
       " {'top_1': 0.6087148159150904,\n",
       "  'top_2': 0.6791897043618278,\n",
       "  'top_3': 0.7300198225825723,\n",
       "  'top_4': 0.748368952697916,\n",
       "  'top_5': 0.7703517076675881},\n",
       " {'top_1': 0.5528782623769778,\n",
       "  'top_2': 0.5528782623769778,\n",
       "  'top_3': 0.6781093547687455,\n",
       "  'top_4': 0.6781093547687455,\n",
       "  'top_5': 0.7277758848433477})"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results_reranker.mean_recall, results.mean_recall, results_quivr.mean_recall"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "def plot_mean_recall(mean_recall_results : list[dict[str, float]], labels : list[str] | None = None):\n",
    "    # Prepare data for plotting\n",
    "\n",
    "    # Create a DataFrame for Seaborn\n",
    "    data_list = []\n",
    "    for result in mean_recall_results:\n",
    "        df = pd.DataFrame(list(result.items()), columns=['Key', 'Average Value'])\n",
    "        data_list.append(df)\n",
    "\n",
    "    # Set the style and context for the plot\n",
    "    sns.set_style(\"whitegrid\")\n",
    "    sns.set_context(\"talk\")\n",
    "\n",
    "    # Create the plot with a custom line color\n",
    "    plt.figure(figsize=(12, 8))\n",
    "    for i,df in enumerate(data_list):\n",
    "        print(df)\n",
    "        sns.lineplot(data=df, x=df['Key'], y='Average Value', marker='o', label=labels[i] if labels else None)\n",
    "        # Annotate each point with its value\n",
    "        for i, row in df.iterrows():\n",
    "            plt.text(i, row['Average Value'] + 0.001, f'{row[\"Average Value\"]:.4f}', \n",
    "                    ha='center', va='bottom', fontsize=12, color='black')\n",
    "\n",
    "    # Title and labels\n",
    "    plt.title(\"Average Recall with increasing k\", fontsize=16, weight='bold')\n",
    "    plt.xlabel(\"K\", fontsize=14, weight='bold')\n",
    "    plt.ylabel(\"Average Recall\", fontsize=14, weight='bold')\n",
    "\n",
    "\n",
    "    # Show the plot\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean Average Precision:\n",
      "without reranker :  0.30656243773297165 \n",
      "with reranker :  0.3277874125660835 \n",
      "Quivr :  0.27408727216318096\n",
      "     Key  Average Value\n",
      "0  top_1       0.674923\n",
      "1  top_2       0.728312\n",
      "2  top_3       0.753877\n",
      "3  top_4       0.770551\n",
      "4  top_5       0.779638\n",
      "     Key  Average Value\n",
      "0  top_1       0.608715\n",
      "1  top_2       0.679190\n",
      "2  top_3       0.730020\n",
      "3  top_4       0.748369\n",
      "4  top_5       0.770352\n",
      "     Key  Average Value\n",
      "0  top_1       0.552878\n",
      "1  top_2       0.552878\n",
      "2  top_3       0.678109\n",
      "3  top_4       0.678109\n",
      "4  top_5       0.727776\n"
     ]
    },
    {
     "data": {
      "image/png": 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sAGNgFODPP//kk08+IVeuXFk6phBCvC4SLBBCCKHQ6/UmHYSoqCiTJ9fPW7t2rRIsAEP68/fff49Op2PHjh106dJFeXJfuHBhatasqWybvENhZ2enPLVMSWxsrNmy1FKUZ86cqYyRdnJyomXLlnh5eaHRaJgyZYrZ9sk7Mhnt8Ga17emxt7enSZMmfPvtt/Ts2ROdToefnx9DhgxhyZIlJp3g5OOrXVxclLHlz7OwMP+Tn9Gx2X///TejRo0iMTERS0tLateuTbVq1fDy8qJnz56ZvLrM8fLyInfu3Dx69IiDBw9SokQJZV3Dhg3ZvHkzx48f59ixY0qgANIegvAinu+IZmcgIjnjsJnMnOdFxtin9P55kfs6s/eGtbU1S5Ys4d9//2X79u0cOnRIKVYZFhbGihUr+PPPP9mwYYNJ3YP0PP+6ASkGE5O/x58PamSX/Pnzc//+fSIiIvj+++/54osvXsp5hBDiZZNggRBCCIW/v3+mxp6fP3+egIAAypUrBxiecNauXZuDBw9y+/ZtfvrpJ+XDedu2bU06Pvny5VO+fu+998w68imNs07u+SeCYHjCaQwUuLq6snXrVuWpXmqFCvPly6dMFRgYGEjZsmWVdXFxcUpl/ef3yUrbM6pGjRp07dpVqTFw6NAhVqxYYdIJc3NzU6r9L1q0yCSFXavVmgUPkqd337p1y6ytf/zxB8HBwZQuXRovLy/y5MnDtGnTlCemK1euVM7xIoGQzFKr1TRs2JBNmzZx69YtJZhVtGhR3NzcqFmzJsePH+fMmTNKp9POzk4ZC/+2yp8/v/J1YGCg2fr58+fj7OxMqVKlqFatGra2tibrU3r/ZPa+1ul0L3RvqFQqKlSoQIMGDQDDrAUnTpxg2bJlXLlyhcjISJYsWZJicC+rkl/j3bt3lSCHUVZnQ+jUqRP9+/fHx8eHxMREVq9eTbdu3TIV+BBCiDeF1CwQQgihWL9+vfJ19+7duXz5cor/ateurWz3fEG+5EMNjOuMQxSSS55lsHPnTpO06r179+Ll5UXbtm2ZOHFiik/8U3rimny4gJWVlZLCrdfrTYZDJH+iWK1aNeXrpUuXmoyv/v77702eVmdX2zNj+PDhJmnm8+fPNxlKkHxM+4oVK0yubdiwYdSuXZsePXooxSc9PT2V1yU8PFwpWAmGsffz589n4cKFDB48mHPnzvHw4UOTaQqTp1Qnn14TXt6T2uQFHS9evAg8+xnUqlULMAR2bty4AUC9evWwsrLK0LGTd36zczjBy5b8537gwAGlRggYxuUvWrSIWbNmMXDgwBTrZqT0/snsfZ3Ze0Or1dK7d29q1KhBnTp1lBk5ihUrRvv27ZUZGcB0mEV2qlChgpIlEhUVxapVq5R1ERER/Pzzz1k6/qRJkyhcuLAyY0liYiLz5s3L0jGFEOJ1kcwCIYQQAERGRrJ7927l++SFDZ/XqlUrpWDe1q1bGTt2rJKy3LRpU3LlykV4eLjSeaxdu7bZGORq1arh6enJ+fPnCQ8P57333qNp06aoVCp27NhBXFwcFy9epHbt2hlO+XZ1dVW+DgoKonPnznh5eXH06FGTJ4bJAwJdu3ZVOjZnz56lTZs21KpVi6tXr3L8+PEUz/My2p4ae3t7JkyYwMCBAwGIiYlh5syZzJ8/H4CePXvy119/odVq2b59O4GBgVSrVo1r164pQ0geP37Ml19+CRjStbt168ZPP/0EwPjx49mzZw/u7u4cOHBA6aQVLVqU+vXro9Vqsba2VorC9erVi6ZNm3Lz5k2zqSHj4uLSTF1/UXXq1DFpAzzr2FapUgUbGxuTn2ny4EJ6kqfjL1myRJl+zzgV6JvqnXfewcvLi1OnThEfH0/Hjh1p2rQpNjY27NixQ9nuf//7H87Ozhk6Zmbvaycnp0zfG0WLFlV+dwwePJjGjRuTP39+goOD8fX1Nbm+l8He3p62bduyevVqAGbNmoWfnx9ubm7s378/y0EKY/Dp448/ZtOmTURHR7Nr1y5OnDjx0q5JCCFeFsksEEIIARgKEho/9OfLly/ND7bNmzdXUnejo6PZtm2bss7Kyor//e9/JtsnzzYwUqlUfPPNN0pacGRkJJs2bWLjxo3K0/xatWoxePDgDF9DtWrVqFKlivL9+fPnWblyJZcvX8bOzk75IH/37l0lkFG5cmU++eQTZZ/AwEBWr17N8ePHqVixoknBP+P+L6PtaWnUqJHJrAU7duxQOlxly5Zl/PjxSlAiICCAlStXKoEClUrFhAkTlCntwFCF3jj1nV6vx9fXl1WrVnHr1i3A0IGeN28eFhYWSnDB6P79+6xatYqDBw+iUqlMOtvG/bObnZ2dkkFgZHyybmVlZVJxXqPRKFP2ZUTy+/zmzZusXbtWyV54082bN0+ZESImJobNmzezbt06oqKiAChdurQyXWhGZPa+fpF7Y8yYMUo2T0JCAn///TfLli1j165dynCGd955h169er3IS5Iho0aNMnk/7Nu3j7Vr13L//n3atm2rLM9KoC937twmM5fMnj37hY8lhBCviwQLhBBCALBhwwbl63fffTfND8pOTk7Ur19f+X7dunUm6zt06KB8nStXrlSf0hYpUoQtW7bQv39/SpUqha2tLY6OjlSoUIEvv/ySX375xaywXFrUajVLliyhT58+FClSBEtLS/LmzYuPjw8bNmxQxlOHh4ebTD03dOhQZs+eTYUKFbC2tsbV1ZWePXuyfPlyk8Jpycd9Z3fb0zN+/HgcHR2V76dMmaKkl3fp0oXVq1fTokULXF1dsbS0JH/+/DRu3JhVq1YpKdFGVlZW/Pzzz0yZMgUvLy/s7e2xtLTE3d2djh078ueff5pMDThq1CgmTZqEh4cHNjY2ODo6UrNmTX7++We6d++ubLdz585su97nJc8WKF68uMnY8+SBhHfeeSdT1ee7detG9+7dyZ07N1ZWVhQpUiTF2QXeRIUKFWLTpk0MHDiQkiVLYm1tjbW1NWXKlGHw4MGsW7cu05X4M3tfZ/besLOz49dff2XGjBlUr14dNzc3LCwscHR0xMvLiy+++MLsfZfdHBwcWL16Nd27d8fNzQ0rKyvKlSvHN998YxKkyGqWTO/evZVspzNnzpgEVYUQIidQ6V/WXEdCCCFEDrB3715u376Ni4sLefLkoV69esq68PBw3n33XcLDwwHDPPQuLi6vqaVCiOywaNEinJyccHFxwcPDwyR76I8//mDcuHGAIaPnxx9/fF3NFEKI105qFgghhPhPCwgI4Ntvv1W+b9iwISVKlODJkyccPHhQCRRUqVJFAgVCvAU2bNigzCDi5OTEu+++i4ODg1ndhMwMZxFCiLeRZBYIIYT4T3v48CHt27fn3r17qW5ja2vLsmXLTOohCCFyps2bNzNmzJg0Zyrx8vJixYoVGZ5VQwgh3kYSLBBCCPGf9+jRI3799VcOHTrE7du3iYmJwcrKCjc3N2rVqkWfPn1knnQh3iLHjx/n999/58yZMzx48IDExETs7e0pWbIk7777Ll27dpVAgRDiP0+CBUIIIYQQQgghhDAhsyEIIYQQQgghhBDChAQLhBBCCCGEEEIIYUJmQ3iNzp07R2JiImq1+qXOJyyEEEIIIYQQQgDEx8ej0+mwtLSkYsWKqW4nwYLXKDExEb1ej1arJSYm5nU3RwghhBBCCCHEf0RiYmKa6yVY8Bqp1Wq0Wi0qlQpbW9vX3ZwU6fV6YmNjAcPUYSqV6jW3SIicSd5LQmQfeT8JkT3kvSRE9shp76XY2Fj0ej1qddpVCSRY8BpZW1sTExODra0t5cqVe93NSZFWq+X06dMAeHh4oNFoXm+DhMih5L0kRPaR95MQ2UPeS0Jkj5z2XgoICCAmJibdofBS4FAIIYQQQgghhBAmJFgghBBCCCGEEEIIExIsEEIIIYQQQgghhAkJFgghhBBCCCGEEMKEBAuEEEIIIYQQQghhQoIFQgghhBBCCCGEMCFTJ+Zger0evV7/Us+h0+lMvn7T5wwV4k0l7yWREpVKJfeCEEIIId5IEizIYWJjY4mIiCAqKoqkpKSXfr7kwYirV6/Kh1ohXpC8l0RqLCwscHR0xNnZGVtb29fdHCGEEEIIQIYh5CiRkZHcvHmTx48fv5JAARieetnY2GBjYyOdGyGyQN5LIjVJSUk8fvyYmzdvEhkZ+bqbI4QQQrz1du3aRfXq1bGzs6N48eLMmzcv1YztZcuWKZmAKf1bvnw5N2/epFq1alSrVg0LCwuzbXr37q0c78iRIzRq1Ag7Ozvy5ctHnz59CAkJSfG8FStWxMbGhmLFijF58mS0Wu1Le01SIpkFOURsbCxBQUEAODg44OLigo2NDWr1y4336PV6YmJiALCzs5NOjhAvSN5LIiU6nY64uDgeP35MdHQ0QUFBWFpaSoaBEEII8ZL4+fnRunVrOnXqxNSpUzl48CBjxowhKSmJcePGmW3fqlUrjhw5Yra8X79+REZG0rJlS+zt7fn1118BKF26NBqNBoDvv/+etWvX0rdvXwCOHj1Kw4YNKVeuHMuXL8fW1pZ58+bh7e3NqVOncHZ2VvYbPHgwo0aNYsGCBRw5coTJkycTHx/PjBkzXtZLY0aCBTlEREQEYAgUFCpU6JV1NPR6vRKQUKvV0sER4gXJe0mkRK1W4+DggL29PXfv3iU6OpqIiAgJFgghhBAvycSJE/Hy8mLlypUAtGjRgsTERGbMmMHQoUPN/ga7urri6upqsmzhwoUEBARw+PBhXF1d0Wq1VKxYEYAqVaqg0Wg4ceIEa9euZcaMGdStWxeA6dOn4+zsjK+vLy4uLgA0btyYsmXLMmfOHKZPn86TJ0/47LPPGD16NLNnz1a2efz4MXv27HmlwQIZhpBDREVFAeDi4iKdDCGEeMuoVCrlQ4Px970QQgghsld8fDz79u2jbdu2Jss7dOhAVFQUBw8eTPcYISEhjB8/no8//piaNWumuI1er2fQoEGUL1+e4cOHK8sDAgKoW7eu8jcfDBmnNWvWZNu2bYBhiERUVBSDBw82Oea8efM4evRohq81O0iwIAfQ6/VKjQIbG5vX3BohhBAvg/H3e1JS0kuf6UYIIYT4L7px4wYJCQmUKVPGZHmpUqUAuHz5crrHmDhxImq1mmnTpqW6zdq1a/H392f+/PnKkASAvHnzcuvWLbPtr1+/zo0bNwA4ffo0zs7OhISEUL9+faysrMifPz/Tpk175Z8PJFiQAyS/KV52jQIhhBCvR/Lf7xIsEEIIIbKfcWi3k5OTyXJHR0eAdAsNh4aGsnz5cj799FNy5cqV6nZz586lTp06NGzY0GR5nz59OHnyJMOGDSM4OJj79+8zduxYLl68yJMnTwAICwsjKSmJli1b4uPjw86dO+nduzcTJ07kiy++yOQVZ430PIUQQgghhBBCvPV0Ol2a69N7MLt48WK0Wi1Dhw5NdZvDhw9z8uRJRo8ebbauX79+fPXVVyxevBh3d3cKFixIYGAgAwYMwM7ODoCEhASePHnC2LFj+eyzz2jUqBEzZ86kf//+fP311690uKIEC4QQQgghhBBCvPWMsw083+E2ZhQY16dmw4YNNG/e3KzgYXIbN27ExcWFli1bprh+xIgRPH78mICAAEJCQli3bh3h4eHkzp0beJbl0Lp1a5P9WrRoQXx8PBcvXkyzjdlJggVCCCGEEEIIId56JUuWRKPRcO3aNZPlxu/LlSuX6r5BQUGcOnWKjh07pnmO7du306ZNGywtLc3WHT9+nE2bNmFpaUnZsmWVoMPJkyepWrUqYJh6EQzFGJNLTEwEeKUzJkmwQAghUiBjxoUQQggh3i42NjbUr1+fTZs2mXzW27hxI87OztSoUSPVff39/QGoU6dOqttERERw9erVVLfZt28fXbt2JTw8XFm2e/duLly4QJs2bQBDBoFKpWL16tUm+27evJk8efKkGdDIbhIsEG+db7/9Fg8PD6ZPn64s27RpEx4eHnzyySevsWUvj7+/Px4eHrz//vsv9TyNGzfGw8ODgICAl3qeVyWlewUMVWg7dOhgtr2HhwceHh7pFr/JiHHjxinHS+mfp6cn9evXZ8CAAezfvz/L53tTvO3vRSGEEEK82caPH4+/vz8dO3Zkx44dfPnll8ydO5fPP/8cOzs7IiMj8fPzIywszGS/c+fOYW1tTcmSJVM8rp2dHcHBwQCUL18+xW26deuGnZ0dHTt2ZPfu3SxZsoQOHTpQp04dunXrBkCJEiX49NNPmTNnDhMnTmTv3r0MHz6cVatWMWnSpBQzFl4Wi1d2JpGjySwM4r8iOjqazp07v7LMgjJlyuDh4WGyTK/X8/DhQy5fvsz+/fvZv38/Y8aMoW/fvq+kTUIIIYQQb6vGjRuzceNGJk6cSJs2bXB3d2fu3LmMHDkSMAwJaNSoEb/++iu9evVS9gsJCUlxBgStTk+CFnIXLMqDA4bsAzsHJ7Q6PRq1ymTb/Pnzs2vXLkaMGEG7du3IlSsXvXv3ZurUqSZTLM6fP5/ChQvz008/MWvWLEqUKMEvv/xCv379sv8FSYMEC0SatDo9aktrouOTCA57grOtJQ42Flhq1GY3v3h9KlWqxPbt27G2tn7dTclRunbtSsuWLU1+8et0ulc6BKF58+YMHjw4xXXx8fHMnj2b3377jW+++YZWrVqRP3/+V9Y2IYQQQoi3Udu2bWnbtm2K6xo2bJjiZ8EffviBH374wWRZXKKWfZdDWbTvOmfuRgCuFB27lYn/hjNQdZ+GHvmwsdSY7PPOO++kmzWqVqsZPXp0ijMqvEoSLBCpMr/5DaoUzsXABiVSvPnF62Fra5tqSpRIXe7cuZXKs28ia2trvvjiC/7++28ePnzIv//+m25RHSGEEEII8fLFJWqZu/MySw4Gmq07fSecgatO0rducUa964FtDu0zSW65SJHx5h+46qRJoACe3fxzd14mNlH7mlqYffbv38+nn35K/fr18fT0xMvLi1atWjF37lwiIkyv3TjGfdu2bRw5coQePXpQtWpVqlevzsCBA7l+/ToAR48epWfPnlStWpXatWubrEtOp9OxZcsW+vfvT506dfD09KRq1aq0bduWRYsWERcXl6FrSKlmwd27d/Hw8KBXr16Eh4czbdo0GjVqhKenJ40aNWLatGk8evQoxeNt3ryZzp07U7VqVWrWrMmoUaO4d+9emm3w9fWlb9++1KxZk4oVK9K8eXNmz57N48ePTbb76quv8PDwoH79+kRHR5usCwgIwNPTk/Lly3Py5MlUz7V//348PDzo3Lmz2bq1a9fi4eFBjRo1zObS9fPzMxkv/3zNgm+//Zbq1asr2xvrBzwvNjaWBQsW0Lx5czw9Palbty6fffYZISEhab5GL0Kj0VCgQAEAk2I4RleuXGH06NHUq1dPacvIkSPNqvzCszoJBw8eZNy4cVSpUoVq1aoxefJkZZugoCCmT59O69at8fLyUo45ZMgQzpw5Y3K8rNxjz7t16xb16tXDw8ODuXPnmqxLSEhg5cqVdOjQAS8vL6pUqUK7du1YuXKlUhk4pTYdOHCAd999F09PT5o1a8bly5cz1BYhhBBCiLRodXr2XQ5NMVCQ3JKDgey/HEqSVpfmdm8qCRYIM/+Vmx9g3rx5DBgwAF9fX4oWLUqTJk0oV64cgYGBLF68mO7du5t1RgC2bNlC7969efDgAbVr18bW1hZfX1+6d+/OmjVr6NmzJ2FhYdSpUwcrKyt8fX3p1KmTWaGUkSNHMmrUKI4ePYqHhweNGzemRIkSXLx4kfnz5/Ppp59m+RrDw8Pp2LEjGzZsoEiRItStW5fHjx+zcuVKevToQUJCgsn2U6ZMYfTo0Vy4cAEvLy+8vLzYu3cvHTt2NOvcG82YMYOBAwfi7+9P8eLFadSoEYmJiSxdupT27dtz+/ZtZdvBgwdTrlw5QkJCmDNnjrI8Li6OUaNGkZiYyKBBg5TpY1Li7e2NnZ0dZ8+eNZsn99ChQ4ChGu3znUNjyleTJk1SPK6Hhwc+Pj7K9++99x7vvfee2XZ9+vThp59+In/+/NStW5eEhAQ2bdrEBx98YBZgyqrg4GDlOp4PXOzYsYN27dqxefNmcuXKRaNGjXB1dWXr1q20a9cOX1/fFI85bdo0/v77b2rXrk2hQoUoVaoUAGfOnOF///sfK1asQKfTUadOHWrVqoVOp2Pnzp107dqV48ePmx0vs/fY8+7cuUPPnj0JDQ1l4MCBJil3MTEx9OrVi2nTpnHz5k28vLyoVasWt2/fZtq0afTv3z/F49++fZtBgwZhY2NDvXr1UKvVkn0jhBBCiGyRoNWxaJ/5g8CU/Lj/BonanDnLlgxDeMvEJmhJyGLn3VKjytTNX7+MK08SspZhYKVRY2v1atNzLl26xOLFi3FycmLNmjUmHYnr16/TsWNHLl++zOHDh2nQoIHJvr6+vgwZMoRBgwYBhqJ4rVq14v79+0ycOJGRI0cyYMAAwPAUulOnTly+fJmtW7fSu3dvAP755x+2b9+Ou7s7a9euVeZZBTh27JjyZPT69etZ6uQYn9avWLFCGe9+584d2rdvz9WrV9mzZw8tW7YEDJ3p3377DVdXV5YvX66cNywsjL59+6b4ZPavv/5i+fLlFCpUiEWLFlGmTBkAtFot8+bNY+nSpQwfPpwNGzagUqmwsrJizpw5tG/fnnXr1tGqVStq1qzJvHnzuHbtGtWrV+fjjz9O85qsrKyoU6cOu3fv5siRIzRv3hwwZGr4+/uj0WjQarX4+/ubTC+zb98+1Go1jRo1SvG4zZs3p1atWuzYsQMwBJNSEhUVxV9//aXMg/vw4UPatWvH/fv32bJli1LN9kUlJSURHh7OyZMn+eqrr0hMTMTLy4t69eop29y8eZOxY8cC8N1339GsWTNl3d9//83IkSMZOXIkO3bswM3NzeT4d+/eZePGjUrwwZiBMXnyZKKjo03uXzAEckaMGMHevXtZtWoV1apVMzleZu6x5wUHB9OzZ0/u3bvHoEGDGDJkiMn66dOnc+LECerVq8fcuXNxcXEBDMGgwYMHc+TIEb7++mvGjRtnsl9QUBCtWrXi66+/Vq5RCrUKIYQQIj0JSTpCo+IIiYzjXkQc9yMMX9+PjCckIg5nO0u+bF3eLPs6NafvhPMkPumV93WygwQL3iKTt1xg+eGb6LIQuKro7sz3Xapm6uZ/EJXAoN9Pci7oxZ+oqlXQs3YxJr5X4YWPkVnh4eG8++67eHl5mXXGS5YsSa1atdizZw9BQUFm+xYqVMhk6jcHBwcaNWrE6tWrKVWqFP3791fW2dra0qRJEy5fvkxg4LNsjfj4eJo1a0aLFi1MAgUA1atXp3Tp0gQEBHD37t0sPxH97LPPTArjFS5cmCZNmrBp0yauXLmidORWrVoFwKhRo0zO6erqysyZM2nXrp3ZsX/++WfAkJFgDBSAIX1+9OjRHDx4kPPnz3PkyBFq164NGGYAGD58OLNnz2bChAmMGzeOVatW4ezszNy5czPUqWvcuDG7d+/m4MGDSrDg/PnzhIeH07p1a7Zu3Yqfn59SxfbOnTvcuHGDd955J8t1CoYNG6YECgDy5MlDu3bt+OGHHzI9reR3333Hd999l+p6lUqFj48PkydPNnldli9fTnx8PAMHDjQJFIBhfl4/Pz9Wr17N77//zvDhw03We3t7m2QpqNVqYmNjKVu2LPnz56dPnz4m29vY2NCuXTv27t2b4vsBMn6PJRcSEkLPnj0JCgpi6NChZtMphoaG8ueff2Jvb28SKABwdnZmzpw5NG3alNWrV/Ppp5/i4OBgsn/yCsYSKBBCCCH+2/R6PVHxSdx/GgC4HxlHiPH/p4GBkMg4HkSnnRHpXTIPj56kvc3zIuMSyeuY8wqRS7DgLbLiyK0sBQoAHGwseBSTuZv/cUwCDjZZu5V0ekP7X2WwoFatWtSqVctkmVarJSgoiIsXL3L37l2AFIchVK5cGZXKdDYIYwe0XLlyZuucnZ0BTNKlfXx8TFLejee6ffs258+fV9LZUzp/ZqjVaipXrmy2PF++fIAh8wEMv0D9/Q3TvTyfSQFQoUIF3N3dTTqLYWFhXLt2DQsLC5Ox/snPXa9ePa5cuYKfn58SLADo3bs3vr6+HD16lE8//RS9Xs/06dOV8fnpadiwIWq1msOHDyvLjF936tQJPz8/jh8/jlarRaPRsG/fPiD1IQiZ8fyTdYCCBQsCmA2LSE/yqRN1Oh2XLl3i+vXrqFQq+vTpQ48ePVKcAeHIkSOAoeOfEmPwyvgzTS6luX9tbW2ZMWOG2fJHjx5x9epVDhw4AKR8P2b0Hnv+uD169OD27dvUq1fPLFAAhgybpKQkvLy8TAIFRvnz56ds2bKcO3eO06dPU7duXZP1ZcuWNdtHCCGEEG8frU5PWFQ89yOfZQIYO//PMgPiiMliNjRAdFwSue2sMrWPk41lls/7Okiw4C3Sw7toljMLXuTmd7GzIjou6cVPCmjUKnp4F83SMV5EQkIC27ZtY+fOnVy/fp3g4GCSkgzXYuzwpzR1irHzn5xx+5Q6NamJiYlh06ZN+Pr6EhgYyL1795SU8OcDDi/Kzs4OS0vzX1AWFoa3v/F8jx8/Jj4+Hhsbm1SvoXDhwibBAmPRw6SkJCpWrJhmO4KDg02+V6lUzJ49m+bNm5OYmEizZs3MnpCnJXfu3FSuXJlTp05x69YtihYtyqFDh7CxsaFKlSpUr16dHTt2cPHiRSpWrJitwQInJyezZca5cY33T0alNHXiunXrmDBhAitWrKBMmTK0adPGbD/ja9+zZ880j//86w6kOEew0blz51i3bh3nz5/n1q1bPHnyBEj7/ZDReyy5U6dOAYbX7fDhw5w5c8Ys4GBs+7Fjx1IsNJnc8wU47e3tsbLK3O8yIYQQQrx5YhKSlEyA5zMCjEMDQqPisvzQ9Hl57K1wc7Ihv7ON4X8nG/I7W1PA2ZY8DlZULuScoWzsKoVzYW+dM7vdObPVIkUT36vAmHfLZkvNgszc/HkdrVjVr2aWzvk6ahY8fPiQ7t27c/36daytrfH09MTb25uSJUvi5eXFqlWr+Ouvv1Lc19gJyoobN24oRd3s7e2pWLEiDRs2pHTp0lStWpWpU6dy7NixLJ8ns0GHlDqDRs9ft7ET6OTklGI2QnKenp5myw4dOqQ8qT5y5AhBQUG4u7tnuK2NGzfm1KlTHDx4kHz58nHq1Clq1KiBlZUV3t7e7NixA39/f0qWLMnRo0cpWbIkxYoVy/DxU/OyU9o7duxIWFgYCxcu5PPPP8fNzc0sg8D42rdo0SLFjrqRnZ2d2bLU7onZs2ezdOlSAEqUKEHDhg0pUaIE5cuXR6fTKTU6Mnq89IwZM4b4+HgWLFjAZ599xp9//mnSwTfei8WLF0/x/knu+ewLGXYghBBCvNl0Oj0PnyQoT/+NwwGeDwxEZfGh5POsNGryOVmT38kGN2cbCiQPCDgbggL5nKyxtki9b6LV6fm4YUkGrkp99i6jgQ1KYKnJnoeAr5oEC94ytlYabMlapzuzN7+VRo2dVc77YP71119z/fp1vL29WbBggVm2QGRk5Es9/5QpUwgNDeW9995j+vTpWFubjmPK7qr66XFxccHa2pr4+HgePHhA3rx5zbZ5fmpAY60FGxubVIsBpubOnTvMnDkTjUZD8+bN2bFjB+PGjWP58uUZ7ug1btyYr776ikOHDlG0aFESExOVoSXGIQ9+fn4UK1aMhISEbMkqeFU+/vhjDh06xIkTJxg9ejRbt241yQhwdXUlKCiI4cOHZ0sA5Pjx4yxduhRHR0d+/PFHs6EWu3btyvI5kqtbty59+/YlMTGRHTt2cOXKFRYuXMioUaOUbYz3V4UKFTJ9fwkhhBDi9YlL1BIa+XRYwNNMgHvJhgPcf5oNkN2zBDjZWBg6/M625E8WEMjvZAgGFHC2wcXOCrU6a513jVpFA4989K1bPM0Z5PrWLU4Dj3xYaHJeXwkkWCBS8F+5+U+eNARDevXqZRYoiI6OVtKk03rSnh3n/+ijj8wCBcHBwVy/bpiRIqUU7pdBpVJRu3ZtfH19lWnykrt9+zbXrl0zWebu7q7UMTh37lyKQxFGjBjBzZs36devn1LkTqfTMXbsWJ48eUL//v0ZOnQo169f5+jRoyxdupR+/fplqM2lSpWiaNGiypSNgBIsKFy4MO7u7pw4cUIJfGQkWJBdwz+ySq1WM2PGDP73v/8RFhbG7NmzmTlzprK+Zs2abNq0ib1799K3b1+z/ZcvX8769etp3LgxI0aMSPd8xvuxdu3aKdZk+Pfff4Hsux+N97ylpSXTpk2jc+fOLF26lObNm1OpUiXAUOhTpVJx+PBhYmNjsbW1NTlGTEwMnTt3xt7enmnTpsnUiEKIt9quXbv44osvuHDhAm5ubgwaNIiRI0em+Hdr2bJlyuxLKVm2bBkNGjRQ/nampFevXvz666+A4WHBiBEj+Pvvv0lKSqJly5Z8/fXXJnWG9Ho9X331FT/99BN37tyhaNGiJjNHibeDXq8nIjaR+8aaAGYZAfHcj4jlcUzWam49T6NWkc/ROtlwAGMmgDX5nWyffm+NndWr697aWmoY9a4H1Yu58OP+G5y+E66s8yqci48alKCBRz5sLXPeLAhGEiwQKfov3PzGcfl79+6lQYMGyh/bR48eMXr0aMLDwwHDrAUv6/z3799n9+7dJpX179y5w9ChQ9FqtS/1/Cnp3bs3+/btY/78+Xh6eipjyCMiIhgzZkyKgZO+ffsyZcoURo0axYIFC0yKyq1atYpt27ZhaWlJlSpVlOWLFy/mxIkTFC9enMGDB5t0GBcsWEDdunUzXJyuUaNGLFu2jHXr1uHk5ESFCs+KZHp7e7Nhwwa2bNmCq6trikX4npc8cBMREZFifYpXpVixYnzyySd88803bNq0iffff18JhvTs2ZPNmzfz7bff4u7uTosWLZT9Tpw4wcKFC4mOjmbgwIEZOpfx/XDq1CkePnxInjx5AENw4LfffmPDhg2AaZHO7FK5cmW6du3KypUr+fzzz9m0aRNWVlYUKlSI5s2bs3PnToYPH86MGTOUQqIJCQl8+eWXXL58mRIlSlCiRIlsb5cQQrwp/Pz8aN26NZ06dWLq1KkcPHiQMWPGkJSUZDZ1LECrVq2UQrjJ9evXj8jISFq2bImTkxMHDx7k6tWrAJQuXRqNRsP333/P2rVrlUB0UlISPj4+REZG8uOPP5KYmMi4ceNo3rw5J0+eVIbCjRkzhgULFjBlyhRq1KjB9u3b+fTTT7G0tDSZjle8uRK1OkKj4p8VBEyWCZC8WGB8UvY+yLK30ihP/42BANM6ATbkdbBGk8VsgOSyM/i2ZOlSZjWrTzmPZ4WWbwF/Jtsms8G35O7cuYOnpyfDhw9n0qRJL3C1L06CBSJVtpYampZzo0EZV6Ljk4iMS8LZxhJ7awssNaocm1Fg1KdPH06ePMm6des4fvw4pUuXJjw8nFOnTpGQkEDp0qW5evUqDx48eCnn79evH9OmTWPBggXs3r2bwoULExYWxpkzZ1CpVJQoUYIbN268tPOnpGbNmgwZMoQFCxbw4YcfUq1aNZycnDh69CgqlYrixYubTP8I0KVLF86dO8cff/xB+/btKV++PPnz5+fq1asEBgaiVquZNWuWMltAQEAACxcuVJ6cGzvnlStXpkePHixbtowxY8awYcOGDBWoMwYLIiMjadq0qVJoEJ4FC5KSkmjUqFGGsgaMndS7d+/SrVs3ihUrxqxZs7C3t8/MS5lt+vbty7Zt27hy5QoTJ05k8+bNWFtbU7ZsWSZOnMikSZMYOnQoJUuWpESJEjx48IDTp0+j1+vp0qULrVu3ztB5fHx8WLRoEUFBQbz77rtUq1YNlUrFhQsXCAkJoXTp0ly7do2HDx+i0+myvSbA8OHD2bt3L1evXuX7779XpnucMmUKt2/fxtfXl6ZNm+Lp6Ym9vT1nzpzh4cOHuLi4sHDhwjcmI0QIIV6GiRMn4uXlxcqVKwFDvZrExERmzJjB0KFDzTKvXF1dzaZlXrhwIQEBARw+fFhZV6tWLWxsbACoUqUKp0+fZu3atcyYMUOZYWb9+vWcOnWKCxcuKLPpVKlSBU9PT9atW0fXrl25efMmX3/9Nd999x0ff/wxYBgqeOfOHXbu3CnBgjdAVFzi086+ccaA2Kf/xysBgQfR8WRnQq1KBXnsrZM9/bdWhgMYawPkd7bB8RXPFJDdwbf3WrfG3t6e1atXo1arcXd3Vz6PvmjwzUiv19OnT5+XPjw6NRIsEGnSqFXEx8XjYKEmb177t+oDedOmTVm+fDmLFi3iypUr/PPPP+TKlYt69erRo0cPnJ2dadOmDXv27OHzzz/P9s5R9+7dyZcvH7/++iuBgYFcvXoVV1dXfHx86NOnD/fu3WPQoEHs3LkzzWhmdvvkk0+oUKECS5Ys4eLFi+j1eqpXr87o0aOZOnWqWbBApVIxa9YsGjZsqFTRv3TpEm5ubrRu3Zo+ffooT/sTEhIYM2YMiYmJ9OjRg6pVq5oca9iwYezdu5fLly/zzTffMHbs2HTbW61aNZydnYmIiDCbCrNWrVqoVCr0en2m6hXMmTOHqVOncu3aNUJDQ7lz585rm4bP0tKSqVOn8uGHH3Lz5k2+//57ZVhBx44dKVeuHMuWLePo0aPs27cPFxcXvL296dq1a6au2cHBgbVr1/L9999z6NAhDh48iLW1NcWLF6d379507dqVDz74gEuXLnHkyBHq1KmTrddpb2/PpEmTGDBgAIsXL6ZZs2Z4enqSK1cu1qxZw2+//cb27ds5d+4cYJiq8v3336dXr164ublla1uEEOJNEh8fz759+5g8ebLJ8g4dOjBnzhwOHjyY7mxCISEhjB8/no8//piaNVMuSq3X6xk0aBDly5dXArYAO3fuxMPDw2Ta3fLly1OuXDm2b99O165d+eOPP7CxsaFPnz4mx1y7dm1mL1dkklan52F0vNnTf5OhARFxPMmGKQOTs7JQU+C5p/9uz2UG5HO0xvINfLj4MoJvWq1WyRSuUqUKGo2GEydOvFDwLblFixZx6dKll/I6ZIRK/7IGZIt0BQQEEBMTg52dHeXKlUt1O51Ox+XLlwHw8PB4pVW+9Xo9MTExgKGq+tsULBDiVZL3kkjP6/xdn9NotVpOnz4NPPtQJsTbKiAggPLly7Nx40batWunLH/8+DG5c+fm22+/5dNPP03zGAMHDmTNmjXcvHnTpFhu8vfS5cuX6dq1K76+vjRs2FDZpmbNmri5ubF582aTY77//vsEBQVx/PhxevbsyZkzZ5g7dy5jx47l3LlzuLu78/nnn0tWQRbEJmiVYoDJCwMmDwaERsWjzeY5A13sLE2e/hsLAyYfKpDLzjJHfpaJj4/HycmJyZMnm2QRHDt2jBo1arBr164MBd9Kly5Njx49+O677wDzv0tqtRpvb2/i4uI4ceKE8neqV69e+Pn5mQUAKlSoQJUqVfjtt9+UZTdu3KBy5cqsX78eHx8fJaM0O2S0HyqZBUIIIYQQQryhjLMjOTk5mSx3dHQE0p+9KTQ0lOXLlzNy5EiTQMHzvvrqK+rUqWMSKDCeP3ltpeTnN547LCyMoKAgunbtyqRJkyhbtixr1qzho48+ApCAwXP0ej2PniQke/of/2xYQGS8UjQwIjZ7iwRaqFW4ORkKARoCAYahAc9nB9jk4Jpk6blx4wYJCQmUKVPGZHmpUqUAQ9AsvWDBxIkTUavVTJs2LdVt1q5di7+/P76+viYB7YCAALNzG89vfGAAhgcIvXr1omPHjiZ1qV41CRYIIYQQQgjxhkpvFpr0spAWL16MVqtl6NChqW5z5swZTp48yZ9//pmp8xvPnZCQwIMHD0yyHxo3bszt27eZPHnyfypYkJCkM8kCeH5YwL2IOEIj40nQZm+RQEdrC7PCgMZMAONwgTz2WZ8yMKd7VcG3uXPnvnDwDWD+/PkEBgayZcuWNNvzskmwQAghhBBCiDeUcVaeqKgok+XGjkV6s/Zs2LCB5s2bm425Tm7v3r24uLgoUxw/f/7nz208v/Hcjo6OqFQqs/1btGjBzp07CQkJyfH1ZfR6PZGxSU+f/j+bMjD50ICQyDgePsneWYPUKnB1NC0MaBwWkDwgYG8t3bqMeBXBt8OHD2cp+Hbp0iXGjx/Pxo0bX+usXCDBAiGEEEIIId5YJUuWRKPRcO3aNZPlxu/TGm8cFBTEqVOnGDZsWJrnOHjwIO+//75ZJXYw1FA5deqU2fJr165Ro0YNwDDtol6vJyEhQZldASAx0ZBG/3zBuDdNklZHWLTplIH3kgUEQiIN62ITs7dIoK2l5mnn3/rpMABb8j8dImAMDLg6WOf4GcjeJK8i+LZx48YXDr5ptVp69erFBx98QLNmzUhKSlK20el0JCUlYWHx6rrwEiwQQgghhBDiDWVjY0P9+vXZtGkTo0aNUorKGZ86GjvsKfH39wdIcwabiIgIbt++Te3atVNc37x5c37//XcuXryoVG+/ePEiAQEBjB8/HoCWLVsyd+5c1qxZYzLkYPPmzVSqVMks5ftVehKflGJhQGNg4F6EYcrAbK4RSB57qxQLA7o5PxsW4GRjkSOLBOZkryL4tn37dtq0afNCwbc7d+7g7++Pv78/K1asMNlm6tSpysxkxYoVS7MN2UWCBUIIIYQQQrzBxo8fT9OmTenYsSN9+vTh8OHDzJ07l1mzZmFnZ0dkZCQXL16kZMmSJk88z507h7W1NSVLlkz12Hfv3gVS7yR16tSJGTNm4OPjw6xZswAYN24cFStWpGPHjgA0bNiQ9957j+HDh/PkyRM8PT1ZsWIFhw4d4q+//squl8GETqfnwZN4QiLizYcGRDz7Pio+Kf2DZYKVRo2bc7JhAcmmCjQuy+dkjbXF21skMCd7FcG3q1evpjr9d3rBt4IFC3Ls2DGz/apXr07//v0ZMGAABQsWzPD1ZpUEC4QQQgghhHiDNW7cmI0bNzJx4kTatGmDu7s7c+fOZeTIkQCcPHmSRo0a8euvv9KrVy9lv5CQkFSLsGl1ehK0EKczdJbUtk7EJWqx1KjRJCuCZ21tze7duxk6dCgDBgzA0tKS5s2b880335ikQ69bt47Jkyfz9ddfExYWRvny5dm0aRPvvfdepq83LlFrUhjQPCMgnpDIOJKyOR3A2dYyWR0A66fDAmxMZgzIbW8l2QA53MsKvtnZ2REQEACgBAKel17wzcLCgmrVqqW4b8GCBVNd97JIsEAIIYQQQog3XNu2bWnbtm2K6xo2bIheb95x/uGHH/jhhx/Mlsclatl3OZRF+65z5m5uio7dSpf1d6jiF8XABiVo6JHPZPq8woULs2nTpjTbZ2Njw8yZM5k5c2aq2+j1esJjEk0CAEqdgGTLwmOyd8pAjVpFPkfrZ8MCnEwzAYzLbK0kG+C/INuDbzotal0CZdxdOHMgFAAXB1vQaUFtek9lNPj2plDpU/rNIl6JgIAAYmJisLOzS3N8jE6nU+bd9PDwSLdKZ3bS6/XExMQAhmiZRFKFeDHyXhLpeZ2/63MarVbL6dOnAahSpYrJHNZCiLTFJWqZu/MySw4GprpN37rFGfWuB7aWGX9vJSTpCI0yPv2PN5kqMCRZZkB8UvZOGWhvpTGbMtAYCDD+n8fB2iRbQohskxgLV3fDoW8g6OSz5e7vQJ1hULoZWL55BT4z2g9988IXQgghhBBCiGyn1enZdzk0zUABwJKDgVQv5kLTcm5o1Cqi4pNM6wEkHxbwNDjw8Ek82fkIUqWCvA7Jpwy0poCzbbKAgCFTwNHGvIicEK9EYizsnQJ+5tk7BJ2Add2h1ifQZMIbGTDICAkWCCGEEEII8R+QqNWxaN/1DG374/4bVC3qQtOv9hMZl71FAq0t1EomQIFkwwGSTxmYz9EaS5kyULypdFpDRkFKgYLk/H6AIt7g0RI0Oa/rnfNaLIQQQgghhMgUvV5PZFwiZ+5GZGj703fCiUvQUTSPPeeCMrYPgIud5dPCgNYmQwOMUwbmd7LB2dZShuOJnE2bYBh6kBGH5huGI0iwQAghhBBCCPE66fV6bj+K4XxQJOeDIzgfFIGdlYaPG5bK1HEexyTgYGPoLlhqVORzTKEwoLE+wNMpA20yUedAiBxJmwRxEaY1CtISdALio3LkUAQJFgghhBBCCJFDaXV6boRFPw0KRHIhOIILwZFEPTd0oKK7M7ntrDJ17PzONkx93xNnW0vy2FuhliKB4r9Ip4PQCxD4r+EfQIMxmTtGXAQ45Mv+tr1kEiwQQogU6PX6HJcimRPbLIQQIuMSknRcDY3iQrKMgYB7UcQmatPdN+BeJNaWaioXcs7QUIQqhXPhZGOJm5NNdjRdiJxDr4cHVyFwvyE4cPMgxD56tr6gF9jlydwxbZyzt42viAQLRIbkpCm8vv32W7777jt69OjBF198AcCmTZv47LPPaNKkSYrzDed0/v7+9OjRg7Jly/LXX3+9tPM0btyYoKAg/vzzzzSnWckpUrpXAE6fPs3UqVPZuHGjyfYeHh4AHDt2DCcnp1fa1rQkJSWxatUqgoKCTK4jLd27d+fo0aOprre2tiZv3rx4enrSp08fqlSpkk2tfb1S+5kLIcSbJi5RS8C9SM4HR3IhKILzwRFcuR9NgjbjUw8Wz2tPhYJOeLo7U6GgE/bWFnzcsCQDV6WfPj2wQQksNRKAFv8Rj28+zRw4YPg/+n7q294/BxbW4F41Y0MR3N8Ba8dsa+qrJMECkTa9FjtLFSREwcM7YJPLcLNrrEAtY9LE2yc6OprOnTujz875n16y1atXM3PmTNq2bZvpfb28vChUqJDJMr1eT2hoKAEBAezcuZNdu3bxzTff4OPjk11NFkIIkUxUXCIXg58GBoIjuBAUybWwaLS6jP0tUqugVD4HPAs6U8HdGc+CTpQv6JTitIINPPLRt27xNKdP7Fu3OA088mEhsxGIt1Vk8LPAwM1/Ifx22tur1IaMgmL1oHh9Q5+oznDD9IjpqTMM1Dlzik8JFojUJcbC1d2oDn1jGjVzf8dw05duliMLdbyNKlWqxPbt27G2tn7dTclRunbtSsuWLcmVK5eyTKfT5ahAAYBWm376aWo6duxIu3btUlwXFRXF559/zq5du5g8eTINGzbE1lbe80IIkRWPnyRwIfjZMIILwZEEPniS4f0tNSo88juaBAbK5nfC1ipjD3FsLTWMeteD6sVc+HH/DU7fCVfWeRXOxUcNStDAIx+2UqhQvE2ePICbB54FCB5eTX8fN09DYKB4fSha23woQelmUOuTtKdPrPVJjp0JASRYIFKTGAt7p6BK6eYPOmGIotX6BJpMkIDBG8DW1paSJUu+7mbkOLlz5yZ37tyvuxlvLEdHR2bMmMGePXt4/PgxJ0+epE6dOq+7WUIIkWOERsYphQeNgYGg8NgM729jqaZ8gWfDCCoUdKaMmyNWFll74m9rqaFpOTcalMlHZGw8kbGJuNjbYG9tgaVGJRkFIueLDYdbh58GCP6FkPPp75On9LPgQLG6YJ837e0tbQ19oSLehukRg048W1eoGtQemuMfrkqwQJjTaeHq7rSjZGBYX8QbPFrm2GgZwP79+1m/fj1nz57l0aNHWFpaUrBgQRo2bMiAAQNwdn4WRTSOd/7666/JnTs3ixYt4vz582g0Gt555x1Gjx5NyZIlOXr0KN9//z3nzp3DxsaGSpUqKeuS0+l0bNu2jc2bN3Px4kUiIiKwsrKiaNGiNG/enN69e2Njk35hoZRqFty9e5cmTZrg7e3N/Pnz+e6779i7dy9hYWG4urrSpEkTPvnkkxQ7y5s3b+b333/nypUrWFpaUq9ePUaOHJlmG3x9fVm1ahXnz58nJiaGAgUK0KRJEwYMGICLi4uy3VdffcXPP/+Mm5sb27dvx8HBQVkXEBDABx98gE6nY9WqVVStWjXVn9mAAQPw8vJizZo1JuvWrl3LhAkTcHZ2xs/Pz6Tehp+fHz179lRqVzw/ft34vZGxRsHly5dNzhEbG8uvv/7Ktm3bCA4OJleuXNSrV49hw4bh5uZm1t6AgACWLFmCn58fjx8/xtnZmapVq9K7d2/eeecdk23TG1NfrVo1oqKi2Lt3L4UKFVLqSAD88ccf/PHHH7Rt25ZZs2al+NpllqOjI87Ozjx+/Jjw8HCz9SdOnODXX3/l5MmTREZG4urqSr169Rg4cCAFCxY02dZYJ+GPP/5g4cKFHD58GFtbW/r06cNHH30EwNWrV1m+fDnHjh0jJCQErVZL3rx5qVGjBgMGDDB5Dxnv+w4dOvDpp5+yYMECDh48SHh4OAULFqRly5YMGDAAOzu7dK/zzJkz9OnThydPnvDll1/StWtXZd2TJ09Yvnw5O3bs4Pbt22g0GsqWLUvHjh15//33TYpKJm9T9erVmT9/Pg8fPqRw4cKsXLmSPHkyWRBJCJEj6PV67j6O5cLTYQTngyI4HxxJWFR8ho/haG1B+af1BTzdnfAs6EwJVwc0L2kGAguNGhVaHgXfQqPR4OJaEo1GsglEDpXwBG4feZY5cO806NOp75GryNPgQAPD8AKnApk/r6UteLREX7oZutgIiA1HbZ8blbWjYehBDu4jgQQL3j4JMaBNyNoxNFZw6JuMbXtoPpRqCgnRWT+nVfof6LPbvHnz+OWXX7CwsKBq1ap4eXkRFhbG6dOnuXbtGgcOHGDjxo1YWpqOM9qyZQv79u2jRIkS1K5dm7Nnz+Lr68vZs2cZMmQIkydPpnjx4tSpU4dz587h6+vL8ePH2bFjB66urspxRo4cyfbt27GxseGdd97BwcGB4OBgzp07x8WLFzlx4gSLFy/O0jWGh4fTsWNHQkNDqVy5Mh4eHvj5+bFy5Ur8/PzYtGkTVlbPplKaMmUKv/32G1ZWVtSoUQNLS0v27t2Lv78/8fEpf+iZMWMGy5cvx9LSEk9PT/Lly8e5c+dYunQpO3fuZNmyZRQpUgSAwYMHc+DAAQICApgzZw5TpkwBIC4ujlGjRpGYmMiQIUNSDRQAeHt7Y2dnx9mzZ4mKisLR8VnRmEOHDgEQERHB5cuXTQox7t+/H4AmTZqkeFwPDw98fHzYsWMHAO+9916K2/Xp04fAwECqVatGiRIlOHnyJJs2beLQoUNs2bLFJMD0xx9/MH78eJKSkihVqhRVqlQhJCSE3bt3s2fPHsaMGUOfPn1Svdb0NG3alOPHj3PhwgUKFy5MlSpV8PLyeuHjPe/06dM8fvwYeBY8MVq2bJkSlKhQoQLVqlXj6tWrrF27lp07d/LLL79QqVIls2OOGDGCx48fU79+fa5du6Ycd+/evQwdOpTExETKly9P/fr1iYqK4ty5c/z555/s2rWLP//8k6JFi5oc7/bt27Rt2xatVkvlypXR6/X4+/uzaNEizp49y9KlS9O8xvPnz9O3b1+ePHnC5MmT6dSpk7IuNDSU3r17c+3aNXLnzk3NmjXRarUcP36csWPHcvjwYWbPnm02C8Xx48fZuHEjVapUoUyZMkRFRUmgQIi3hE6n5+bDJyaFB88HRRIRm5jhY+S2t1IKD3oWNAQHCrvYvZapCWNiYl75OYXIssQ4uHvsWebA3eOgS+c96JD/WeZA8XrgUix72qKxQIeKK0GP0Wg0lMyb560JvEmw4G2yYxwc/Sn9KFpaCnrBB8syVtkTDOk2T0JhfS8IPvXi51WpocZH4JM9T0Mz4tKlSyxevBgnJyfWrFlj8sTy+vXrdOzYkcuXL3P48GEaNGhgsq+vry9Dhgxh0KBBgKEoXqtWrbh//z4TJ05k5MiRDBgwADA8he7UqROXL19m69at9O7dG4B//vmH7du34+7uztq1a02CCMeOHaNXr14cOHCA69evZ2mIQUBAAJ6enqxYsYL8+fMDcOfOHdq3b8/Vq1fZs2cPLVu2BAyd6d9++w1XV1eWL1+unDcsLIy+ffuaPWEH+Ouvv1i+fDmFChVi0aJFlClTBjCMo583bx5Lly5l+PDhbNiwAZVKhZWVFXPmzKF9+/asW7eOVq1aUbNmTebNm8e1a9eoXr06H3/8cZrXZGVlRZ06ddi9ezdHjhyhefPmgCFTw9/fH41Gg1arxd/f3yRYsG/fPtRqNY0aNUrxuM2bN6dWrVpKsGDevHkpbhcVFcVff/1F6dKlAXj48CHt2rXj/v37bNmyhW7dugGGp+RffPEFer2eWbNmKe20s7Pj0KFDDB48mDlz5lC2bFlq166d5jWn5vPPP2fZsmVcuHCBatWqZUtGQUJCAo8ePeLIkSN89dVXALRq1YpSpUop2xw7doxZs2bh5OTEDz/8QLVq1ZR1y5cvZ8aMGQwePJidO3eaZcc8fvyYzZs34+bmptSHSExMZMKECSQmJvL111/TqlUrZfvIyEj69u3L2bNnWbduHaNHjzY53tGjR6lfvz5z585V6k+cPXuWLl26cOjQIc6cOUPlypVTvNZLly4pgYJp06bRoUMHk/Vjxozh2rVrtG3blgkTJihZCvfv36d///789ddfVKxYke7dTQsc3bx5kwEDBigZOTpdFn4vCyFemyStjmth0cowgotPMweeJGS8Vkx+Jxs83Z0oX9BQX8DT3ZkCzjYy1a0QmaFNNPQ1Av81/LvjD0lxae9jm9sQFDBmD+QpBS/xffc2Bt5kQNLb5OjPWQsUgGGmg5iHmdsn5lHWpwPR6wztf4XCw8N59913GTRokFlnvGTJktSqVQtASfFOrlChQnzyySfK9w4ODkoHtFSpUvTv319ZZ2trqzzJDgx8Vnk4Pj6eZs2aMWLECJNAAUD16tWVjujdu3ezcpkAfPbZZ0qgAKBw4cJKm65cuaIsX7VqFQCjRo0yeU1cXV2ZOXNmisf++WfDz23KlClKoABAo9EwevRoypQpw/nz5zly5IiyrkyZMgwfPhy9Xs+ECROUIQzOzs7MnTs3Q1N1Nm7cGICDBw8qy86fP094eLhStd/Pz09Zd+fOHW7cuIGXl1eW6xQMGzZM+fkA5MmTRykSGBAQoCxftmwZWq2WLl260KZNG5Nj1K1blyFDhqDX65XX8HX47LPP8PDwMPlXsWJFGjRowLhx43j8+DFdunQx+/n/8ssv6PV6Ro0aZRIoAOjZsyf169dXgifP8/HxUYZrqFQqVCoVDx8+pE6dOrRr184kUADg5ORE69atgZTfj2C4/5IXqqxUqZKSnZL8Hk/uypUr9OrVi8jISGbOnGkWKDh79ixHjhyhUKFCTJkyxWQ4Q/78+Zk+fTpAqtk/PXv2VL7OSdPPCvFfFZ+k5dzdCFYfvc0Xf5zj/e8PUWHiTlrMP8Co9WdYdvgmR28+SjNQUDi3LT6e+Rn9rgfLelfn2BdN8fu8CYt7VmdEszI0r5CfgrlsJVAgRHp0Wgg+DYe/hd8+gNnFYEkz+GcqBO5POVBg7QRlfODdmTDwEIy+Dh1XQPV+kLf0Sw0UvK0ks+BtUmNA1jML4qPALpOpsna5DftlhUpjaP8rVKtWLSUgYKTVagkKCuLixYtKJz0x0TylqXLlymZ/6I0d0HLlypmtM6alJyQ8GyLi4+NjNhVdYmIit2/f5vz580RERKR6/sxQq9UpPlXNly8fYMh8AJTUbcAskwIMaebu7u4mnbWwsDCuXbuGhYUF1atXT/Hc9erV48qVK/j5+Zk8Pe/duze+vr4cPXqUTz/9FL1ez/Tp0ylQIGPjxRo2bIharebw4cPKMuPXnTp1ws/Pj+PHj6PVatFoNOzbtw9IfQhCZjzfOQaU8flRUc/eC0ePHgVQOrrPa926NbNmzeL48eMkJiaaDXd5FZJPnZiUlMTZs2cJCgrC0tKSoUOH0r59e7PgilarVa7N29s7xeM2bNiQf//9Fz8/Pz744AOTdeXLlzfbPn/+/MyZM8dseWhoKFeuXOHECUPRoJTeDwUKFEjxvnn+Hk8uMDCQXr168fjxYzp37mwWzIFnwaZq1aqZDNUxqlSpErlz5+b+/fsEBgZSvHhxk3PnzZtOYSQhxGsTk5BEwL1IJWPgfHAkV0OiSMrgVIUqFZTIa68MI6jg7kSFAs442+XM6dGEeO30egi79LTmwH64eRDiwtPex8IWino/G1qQv3KOrxHwppFX823iM8tQkTM7aha4V83YUAT3d8A+H3T/M+vnfA01CxISEti2bRs7d+7k+vXrBAcHk5SUBKB0+FOaRi/5mHQj4/bJi/mlJyYmhk2bNuHr60tgYCD37t1T0pWz66mDnZ1dip1QCwvD2994vsePHxMfH4+NjU2q11C4cGGTYMG9e/cAQyezYsWKabYjODjY5HuVSsXs2bNp3rw5iYmJNGvWjGbNmmX4unLnzk3lypU5deoUt27domjRohw6dAgbGxuqVKlC9erV2bFjBxcvXqRixYrZGixwcnIyW2Ycm2a8f8DQ0QXD65YSV1dXbGxsiIuLIzw83CzD5FV4fupErVbLDz/8wHfffccPP/xAhQoVzIZIhIeHKx3wpk2bpnn853/ugEkGwPOOHDnCpk2buHTpEnfu3FHOk9b7MaWfB5jf48kdOHAAjUaDSqVi8+bN9O/fXwmaPN/2P//8kz///DPVNoPhvZA8WJDWNQohXq2I2EQuBEdwIehp8cHgSK6HRZPRWXIt1CpKuzkaagw8HUZQroAT9tbyMVqIF6bXw6Mbz2oOBB4wDG1Oi8YKCtV4FhxwfwcszIP5IvvIb7m3jZUdkMVOt04LdYYbpkdMT51hr62jn1UPHz6ke/fuXL9+HWtrazw9PfH29qZkyZJ4eXmxatUqZWaB5xk7IVlx48YNevbsSWhoKPb29lSsWJGGDRtSunRpqlatytSpUzl27FiWz5PZoENKnTGj56/b2AlzcnJKMRshOU9PT7Nlhw4dUp4UHzlyhKCgINzd3TPc1saNG3Pq1CkOHjxIvnz5OHXqFDVq1MDKygpvb2927NiBv7+/MkNFyZIlKVasWIaPn5qMppSn9VoaabWGdNaUnlyntf3LotFoGDx4MPfu3WPjxo0MGjSI9evXm9QrMP7cLSwszLJjnpfSzzOl10+n0zF8+HD+/vtvVCoVHh4eNG/enBIlSuDp6cnt27eZPHlyiud4kcCahYUFc+bM4fDhw2zYsIEvvviCZcuWmRzLeJ0VKlSgRIkSaR7v+YCFDDsQ4vV4EB3PhWDjNIWGwoO3H2V8HLGVhZpy+R2pkKzwYBk3R2ws345iZUK8VhF3n81WEPgvRKYz1FalMTzANAYHCtXIkX2OnEyCBcKcWmOYE7TWJ2lPn1jrE8N2OTTd5+uvv+b69et4e3uzYMECs2yByMjIl3r+KVOmEBoaynvvvcf06dOxtrY2WW8chvCquLi4YG1tTXx8PA8ePEgxhTokJMTke+OTcBsbm1SLAabmzp07zJw5E41GQ/PmzdmxYwfjxo1j+fLlGe5oNW7cmK+++opDhw5RtGhREhMTlaElxqfhfn5+FCtWjISEhGzJKsiMfPnycefOHe7cuZNiJfz79+8rww+M95+xs5pSUCAxMfGVFc/58ssvOX78OLdu3WL48OFs3LhRCWjkypULS0tLtFptivfui9iyZQt///03BQoU4JdffjGpCQHw66+/ZvkcybVv355WrVpRr1499u/fj5+fH2vWrOHDDz9UtjEOY6hXrx7Dhw/P1vMLIbJGr9dzPzJOGUZgDAzcj0yn4FkydlYaKhR0okJBZzzdnalQ0IlS+Ryw1EiwT4hsER2aLHPgX0MmQZpUkL/is4KERWqBTcrZg+LVyJm9PPHyWdpCkwnoi3ijOjTfMOuBUaFqUHuoIVBgafvamphVJ08ahln06tXLLFAQHR3NqVOG2R0y8nQ4K+f/6KOPzDpbwcHBXL9+HXh1VdRVKhW1a9fG19eXnTt3mswzD4bp6a5du2ayzN3dXaljcO7cuRSHIowYMYKbN2/Sr18/ZdYFnU7H2LFjefLkCf3792fo0KFcv36do0ePsnTpUvr165ehNpcqVYqiRYvi7++vpIAbgwWFCxfG3d2dEydOKIGPjAQLsrPoVI0aNbhz5w7btm2jSpUqZuu3bt0KQM2aNZVl9vb2gKEexPOM9+TzXkahLFtbW6ZPn0737t25cuUKP//8M59++ikAlpaWeHl5cfToUXx9fWnRooXZ/rNnz+bw4cO0b9+eHj16pHs+4/vBx8fHLFAA8O+//wLZ934wvuecnJz44osvGDZsGHPnzqV+/fpKNkSNGjUAw8wlw4YNM3ud79+/T48ePXBzc+Pbb7+VoQdCvCR6vZ7bj2I4n2wYwYWgCB4+yfiwS2dbS2WqQuP/xfLYo3kNUxUK8daKfQw3Dz0LDoQFpL+Pa1lDcKBYPShW11ALTbwxJFggUmdpCx4t0ZdqCgnREBeBysbZMPOB2jLHZhQYGcfl7927lwYNGigdgUePHjF69GjCw8MBw6wFL+v89+/fZ/fu3Sadozt37jB06FDlyfLLOn9Kevfuzb59+5g/fz6enp5KYcSIiAjGjBmTYuCkb9++TJkyhVGjRrFgwQLKli2rrFu1ahXbtm3D0tLSpLO8ePFiTpw4QfHixRk8eDCWlpZMmzaNzp07s2DBAurWrWtynLQ0atSIZcuWsW7dOpycnKhQoYKyztvbmw0bNrBlyxZcXV1TnT4vueSBm4iIiBTrU2RUjx49+Ouvv/j999+pVKmSSbDi4MGDfP/998p2Rsbrfn7azJCQEKX6/vOMUxNmdzZK9erV+eCDD1i3bh0//fQTPj4+Snv69u3L0aNHmTJlCi4uLiYBj127drFy5UoSExNTHH6SEuP78dChQ8TGxmJrawhEJiQksHDhQqV4ZfIiodnFx8eHzZs3888///Dll1+ydOlSwBAsqFixIufOnWP8+PF8/vnnSjAnOjqaMWPGcOvWLQoXLiyBAiGyiVanJ/BBdLLCgxFcCI4kKi4p/Z2fyutgpRQe9HQ3ZA4UcpEZCITIdvFRcNvPUJAw8F+4dxZI5yGbS/FnwwqK1QNHt1fSVPFicnZvT7x8ag0xcXrUGkds8ri+VVOO9OnTh5MnT7Ju3TqOHz9O6dKlCQ8P59SpUyQkJFC6dGmuXr3KgwcPXsr5+/Xrx7Rp01iwYAG7d++mcOHChIWFcebMGVQqFSVKlODGjRsv7fwpqVmzJkOGDGHBggV8+OGHVKtWDScnJ44ePYpKpaJ48eIm0z8CdOnShXPnzvHHH3/Qvn17ypcvT/78+bl69SqBgYGo1WpmzZqlzBYQEBDAwoULUavVzJgxQ+mcV65cmR49erBs2TLGjBnDhg0bMjSO3xgsiIyMpGnTpkqhQXgWLEhKSqJRo0YZ+qBoZWVFoUKFuHv3Lt26daNYsWLMmjVL6SRmRtmyZZk8eTITJ05k9OjRlC5dmmLFihESEsLZs2dRq9WMGDHCpN5DzZo1qVy5MmfOnKFt27Z4e3uj0+k4evQohQoVolKlSpw9e9bkPMbx9L6+vnz00Ud4eXkxcODATLc3JaNHj8bX15ewsDAmTpzIypUrUalUNGzYkE8++YQffviBHj16UL58eQoVKsSdO3eU6SNHjRqlTF+Yno4dO/Lbb79x+fJlmjRpQpUqVUhKSuLMmTOEh4dTpkwZrly5kmLGRXaYOHEiR48e5dChQ6xbt46OHTsC8M0339CzZ082bNjAnj178PT0RKPRcPLkSaKioihSpAgzZsx4KW0S4m2XkKTjamiUSeHBi8GRxCZmvDaLey5bs4yBfI7WEhgQ4mVIjIU7R59lDgSdAH0671fHglCiwbPgQK6Uiz6LN5MEC0SGvKpU+FepadOmLF++nEWLFnHlyhX++ecfcuXKRb169ejRowfOzs60adOGPXv28Pnnn2d7wbLu3buTL18+fv31VwIDA7l69Squrq74+PjQp08f7t27x6BBg9i5cye9e/fO1nOn5ZNPPqFChQosWbKEixcvotfrqV69OqNHj2bq1KlmwQKVSsWsWbNo2LAh69at4/z581y6dAk3Nzdat25Nnz59lKf9CQkJjBkzhsTERHr06GHWkRw2bBh79+7l8uXLfPPNN4wdOzbd9larVg1nZ2ciIiLMpsKsVasWKpUKvV6fqXoFc+bMYerUqVy7do3Q0FDu3LmT4UyH53Xo0IFy5cqxePFijh49SmBgIHny5KFVq1Z069bN7DVQq9UsWbKERYsW8ffff3Po0CHy5s1Lp06dGDx4MMOGDTM7R/Xq1Rk8eDBr1qzh0KFDxMTEZFuwIHma/rFjx1i3bh2dOnUCYOjQodSoUYMVK1Zw+vRp5R5u1KgRvXv3Nsk2SE/BggXZuHEjCxYs4OTJk/z777/Y2dlRunRp2rRpQ9u2balTpw5Xrlzh5s2b2VKoMrn8+fMzYsQIpkyZwuzZs6lXrx4FChSgcOHC/PHHHyxbtow9e/Zw/PhxLC0tcXd3p3nz5nTr1i1L2SdC/FfEJWq5dD/KpL7A5ftRJGgz/vmiWB47k8KDFQo6k9teKqEL8dIkJUDwyWfBgTtHQZtOxqtd3qeZA/UMdQdyl3irHjb+16j0L2tAtkhXQEAAMTEx2NnZUa5cuVS30+l0XL58GQAPD49XWmVbr9crBdXs7OwkUi/EC5L3kkjP6/xdn9NotVpOnz4NQJUqVUwyisTrFx2fxMXgZMMIgiK5FhaNVpexj5xqFZTK54BnQeenwQEnyhV0wsnGfBpgkTXyXhImdFq4d+ZZcOC2HyQ+SXsfG+en9QbqGYIE+cr9J4MDOe29lNF+qGQWCCGEEEKIF/L4SQIXgk0LDwY+fEJGH0VZalR45Hc0BAYKOlHB3Zly+Z2wtXqzP2gL8VbQ6QxFCI3BgZuHID6d+keW9lC09rPsgfyVDDOpibeSBAuEEEIIIUS6QqPiuJCs8OD5oEiCwmMzvL+NpZpyBZxMhhGUcXPEykKyaIR4JfR6eHj9WUHCmwcg5mHa+2isoUjNpzUH6oN7VdBIls9/hQQLhBBCCCGEQq/XExQe+2yqwiDDjAShURmfncfR2oLyTwsOerobAgTF89pjoZHAgBCvVPjtZ5kDgQcgKjjt7dUW4F7tac2B+lCoBljavJq2ijeOBAuEEEIIIf6jdDo9Nx8+4UJwpFJf4HxwBOExiRk+houd5dPZCJ4FBorktkOt/u+NWxbitYu6bwgKBO43ZA48vpnODiooWOVpzYEGUKQWWDu8goaKnECCBUIIIYQQ/wFJWh3Xw56YFB68eC+S6PikDB/DzcnapPCgp7szBZxtpGirEK9LzCNDUMCYOfDgcvr75KvwLHOgaG2wdXn57RQ5kgQLhBBCCPHS7Nq1iy+++IILFy7g5ubGoEGDGDlyZIqdy2XLlqU5VeyyZcvo2bMnAC1btiQ0NNRsm7CwMPLmzQvAtm3bmDRpEhcvXiRv3rz06tWLL774AiurZ9PtHTlyhM8//xx/f38cHBxo3bo1M2fOxM3NLauX/lrFJ2m5cj/aEBR4Wl8g4F4k8UkZn6qwcG7bp/UFnhYfLOiMq6P1S2y1ECJdcZFw6/DTmgP/wv3zQDoVRfOUejZbQbF64OD6Spoqcj4JFgghhBDipfDz86N169Z06tSJqVOncvDgQcaMGUNSUhLjxo0z275Vq1YcOXLEbHm/fv2IjIykZcuWADx48IDQ0FCGDh3KBx98YDJFVa5cuQBDkOJ///sfPXv2ZObMmVy6dInPPvuMe/fu8fPPPwNw9OhRGjZsSLly5Vi+fDm2trbMmzcPb29vTp06hbOz80t4VbJfTEISAfeilPoC54MiuRISRVIGpypUqaBEXnuTYQQVCjrjbCdFzIR47RJi4I7fs8yB4FOg16a9j3Php7MVPA0OOLu/mraKt44EC4QQQgjxUkycOBEvLy9WrlwJQIsWLUhMTGTGjBkMHToUW1tbk+1dXV1xdTV94rVw4UICAgI4fPiwss44l3WjRo2oVatWivNZz5w5k3feeYelS5cC0LRpUx48eMC0adP45ptvsLe3Z/r06Tg7O+Pr64uLiyENt3HjxpQtW5Y5c+Ywffr0bH09skNEbCIXg58VHjwfHMmNsGgyGBdAo1ZROp+DofDg02EE5Qo4YW8tHwmFeCMkxcPd489mK7hzFHTp1BBxcHuWOVC8PrgUM0QBhcgi+csghBBCiGwXHx/Pvn37mDx5ssnyDh06MGfOHA4ePEizZs3SPEZISAjjx4/n448/pmbNmsryM2fOYG9vj7t76k/LlixZQmKi6QdsKysrdDqdsjwgIIC6desqgQIAOzs7atasybZt2157sOBhdDznnwYGjIUHbz2MyfD+VhZqyuV3fFpfwDCUwCO/IzaWMie6EG8MbRLcO/10OsMDcNsPktKZktTWBYrVNRQkLF4f8paR4IB4KSRYIIQQQohsd+PGDRISEihTpozJ8lKlSgFw+fLldIMFEydORK1WM23aNJPlZ86cwcnJiTFjxnDixAm0Wi2tWrVi/vz5FChQAIASJUoo20dGRrJnzx7mzZvHhx9+qAxVyJs3L7du3TI77/Xr17lx40amr/lF6fV6QiLjlcKDxikL70XEZfgYdlYayhdwUuoLeLo7UyqfA5YyVaEQbxadDkLOP8scuHkIEqLS3sfK0VCI0Jg54OYJanlvi5dPggVCCCGEyHYREREAODk5mSx3dHQEDB34tISGhrJ8+XJGjhypdO6Nzpw5Q2hoKG3btmXChAlcuXKFCRMm0KBBA06dOoW9vb2y7b179yhYsCBgCCAkzxbo06cP/fv3Z9iwYYwZMwa1Ws0333zDxYsXzbISsoter+fOo9inQQHDMIKLwRE8iE7I8DGcbCwMwwiSFR4sntcejUxVKMSbR6+HB1ee1hx4GiCIfZz2PhY2hikMi9c3ZA8UqAIa6baJV0/uOiGEEEJkO50u7ar76nSeii1evBitVsvQoUPN1v3444/cuHGDChUqUKVKFRo2bEiFChWoW7cuK1as4OOPP1a2tbW1Ze/evTx8+JCJEydSq1YtTpw4gbu7u1I4ccKECSxYsACVSkWHDh0YMGAAv/7664tdeDJanZ7AB9FcCI5UCg9eCI4gMi7jUxXmdbAyKTzo6e5MIRdbmapQiDeVXg+PbyabzvBfiA5Jex+1JRSq/ixzoFA1sJCZR8TrJ8ECIYQQQmQ740wCUVGm6bXGjIL0ZhrYsGEDzZs3Nyt4CODt7W1WHLFOnTo4Oztz5swZk+W5cuWicePGAFSvXp0SJUqwZMkSJkyYAMCIESMYPHgw169fJ0+ePLi6utKjRw9y586diauFRK2OqyFPpypUMgYiiU1Mp2p5MgWdbZT6Ap7uhqEE+RytJTAgxJsuMvjZbAWB/0LE7bS3V6mhoNez4EDhmmBln/Y+QrwGEiwQQgghRLYrWbIkGo2Ga9eumSw3fl+uXLlU9w0KCuLUqVMMGzbMbF1ERATr16/H0dFRqX8AhkyGhIQEXF1d0Wq1bNy4kdKlS+Pl5aVsU6xYMXLnzk1wcDAAx48f5/bt27Rr146yZcsq2508eZKqVaum2r64RC2X7kdxPiiCC08LEF66F0WCNu1siuSK5bEzKTxYoaATeRzkSaIQOcKTB6aZAw+vpb+PW8VnwYGi3mCTM6ZmFf9tEiwQQgghRLazsbGhfv36bNq0iVGjRilPxzdu3IizszM1atRIdV9/f3/AkC3wPGtra4YMGUKDBg1MCh9u3ryZ2NhYGjVqhEajYdy4cZQuXZqdO3cq25w8eZKHDx9SqVIlAPbt28eXX37JvXv3lLoIu3fv5sKFC4wePRqA6PgkAu6ZDiO4GhqNNoNzFapVUNLVwaTwYPmCTjjZWGZofyHEGyA2HG4dfhYcCL2Q/j55yyQLDtQF+zwvvZlCZDcJFogMSW9s6ZtKq9Xy77//8scff3DlyhXu378PQKFChahVqxadOnWidOnS2XY+Dw8PAI4dO2ZW1Otlunv3Lk2aNElxnY2NDblz56Zq1ar07NlT+ZD8Mn377bd899139OjRgy+++OKln08I8WYaP348TZs2pWPHjvTp04fDhw8zd+5cZs2ahZ2dHZGRkVy8eJGSJUuaDDc4d+4c1tbWlCxZ0uyYNjY2jBkzhsmTJ5M/f346d+7MxYsXmTRpEu+//74y5GDSpEn07NmTjz/+mA4dOnDjxg0mTpyIp6cnvXv3BqBbt27MnDmTjh07Mnr0aC5du8FnY0ZT0vMdjlpUYPlX+wh88AR9xuICWGpUlHFzVIYRVHB3plx+J2ytZKpCIXKU+GjDFIY3nwYH7p0BfTqZQ7mKPitIWKwuOBV4NW0V4iWSYIFIk06vQ22l5kniE+5H3sfJygl7S3ss1ZZo1G/2h5+7d+8ybNgwzp07h0qlonz58tSvX5/o6GiuXLnCypUrWbVqFQMHDmTIkCE5NiDyvPfee0/5Wq/XEx8fz+3bt9m6dSvbt29n3rx5tGrV6jW2UAjxX9G4cWM2btzIxIkTadOmDe7u7sydO5eRI0cChif9jRo14tdff6VXr17KfiEhIWYzIBhpdXpGj/sCWycXlvz8E2vWrCF3njwM+OgjpkyerGzXo0cP7OzsmDVrFitWrMDBwYG2bdsyc+ZMbG1tCY2KIyBCTd/pi1k1fxotWr+PytoeO49GJNTrxrZzaRcks7FUU66AkzKMwNPdmdJuDlhbvNl/G4UQKUiMg7tHn9UcCDoOunQKkToWeJY5UKweuBR9NW0V4hVS6fUZjZeL7BYQEEBMTAx2dnZpjt3U6XRcvnwZMDy5flWd2rikOA4GHWTJ+SWcf3BeWV4xb0X6ePahrntdbCxsXklbMuvevXu0adOG8PBwGjduzOeff07hwoWV9Vqtlp07dzJ58mTCw8Px8fFh/vz5WT7v9evXAShevPgrDT4kzyww3ivP27FjB8OGDcPe3p79+/cr05e9DI8ePeLx48fkypWLPHkk7Q4MgZuYmBgA7OzspGCZMPO6ftfnJHGJWvZdDmXRvuucuRuhLK9SOBcDG5SgoUc+bCxNO+t6vZ7giDhDfYGnhQfPB0UQGhWf4fM6WFtQvqCTSeHBEnntsdDIz0jkbFqtltOnTwNQpUoVNJr/SLBLmwjBpyBwvyE4cNsftOn8TrDLYwgKGLMH8pQE+Vsunspp76WM9kMls0CkKC4pjoUnF7IyYKXZunMPzjF833C6l+vOkKpD3riAgV6vZ/To0YSHh9OmTRtmzZpl1jHTaDS0bNkST09P2rVrx44dO/D29qZTp05ZOndKKbNvCh8fH5YvX86pU6c4cOAALVu2fGnnyp07d6YriQshRFriErXM3XmZJQcDzdadvhPOwFUn6Vu3OCOaleHg1QecvPOYi08DA49jEjN8Hhc7y6f1BZ5NV1gktx1qtXQKxOu1a9cuvvjiCy5cuICbmxuDBg1i5MiRKQafly1bpgy3ScmyZcvo2bOn2fLhw4czf/58nn+WeO7cOcaMGYO/vz/W1tY0b96cOXPm4ObmluLx79y5g6enJ8OHD2fSpEmZu9CXQaeF++ee1Ry4fQQSotPex9rJMJzAmDmQrzxIEFf8x8gdL8xodVoOBh1MMVCQ3MqAlRwMOohWl/FpoV4FPz8/jh07Rq5cuZg4cWKaT3CLFCnCiBEjAPjhhx9M5gXv3r07Hh4e7Nmzx2y/gIAAPDw8lLGxRh4eHnh4eBAZGYlOp6Nhw4Z4eHhw9uzZFM//66+/4uHhoYzr37RpEx4eHvzwww/88ssveHt7U7lyZT744AMSEzP+YTc1BQoYxs89efLErN3NmjXj/PnztGnTBk9PTxo2bMjBgweVbfbv38+nn35K/fr18fT0xMvLi1atWjF37lwiIiJMjvftt9/i4eHB9OnTlWXJr+3q1asMGTKEWrVqUbFiRd577z2WLFlCUlLG5x4XQvx3aHV69l0OTTFQkNySg4HsCQjh4r1Iftp/gwNXH6QZKHBzsqZJ2XwMaVyKn7q/w6FxjTn5ZTNW9q3JOJ+ytK5UkGJ57SVQIF47Pz8/WrduTdmyZdm0aRNdu3ZlzJgxzJ49O8XtW7VqxZEjR8z+VahQgcKFC6f4wODff/9lwYIFZstDQkJo3LgxISEhLFu2jPnz57N//358fHxS/Gyi1+vp06ePMk3qa6HXQ8hF8P8J1nSFOcXh5waw+0u4tjvlQIGlHZRsAk0nQ/9/YEwgfLgaan0M+T0lUCD+kySz4C0TmxRLoi5rnUpLtSVLzi/J0LZLzy+ljnsdEpOyfk5bC9v0N8yAP//8E4CWLVtiZ2eX7vb/+9//mDVrFvfv38ff3x9vb+9saYdareb999/nxx9/ZOvWrSkWFvzrr78AaNu2rcnyzZs3c/PmTWrVqgWAi4sLlpZZq5yt0+m4cMFQvTelKcEiIyPp168fzs7ONGjQgPPnz1OhQgUA5s2bxy+//IKFhQVVq1bFy8uLsLAwTp8+zbVr1zhw4AAbN27MUBvPnDnDTz/9hIODA1WqVCE6Oprjx48zZ84cAgMDTaqbCyEEQKJWx6J91zO07a+HbvJjt3f43vcaSclmLCjkYmtSeLBCQSfyOb5ZmXFCpGbixIl4eXmxcqXhQU6LFi1ITExkxowZDB06FFtb089Qrq6uJkVDARYuXEhAQACHDx82WxcTE0O/fv1wd3fn7t27Juv++usvHjx4gJ+fn5JBmStXLlq0aMHhw4dp0KCByfaLFi3i0qVL2XLdGabXw6MbzzIHbh6AJ2Fp76OxgsI1n9UdKFgVLKxeTXuFyCEkWPAWmX10Nr9f+h1detVa01A+T3m+avCVSY2CtJx7cI6HsQ8ZuX8kFx9efOHzqlVqupTtwtgaY1/4GEbnzxvaXrly5Qxt7+DgQIUKFTh58iQXLlzItmABQLt27fjxxx/Zvn07Y8eONRm/dO3aNQICAihatCjVqlUz2S8wMJDJkyfTuXNnAJOMh8yKi4vj5s2b/PDDD9y6dYvOnTunOFwiPDycatWqsWzZMiwtLdHpdKjVai5dusTixYtxcnJizZo1Jvtev36djh07cvny5RQ/MKRk3759tGvXjgkTJigfbnbv3s2nn37Khg0bGDp0qNmHGCHEf5NWp+dqaBRONpYmNQrScvpOOIlaHR81KIGzrSWeBQ1TFeayk06AyJni4+PZt28fk5MV8ATo0KEDc+bM4eDBgzRr1izNY4SEhDB+/Hg+/vhjatasabZ+wYIFuLm50bRpU6ZOnWqyLi4uDsBklidjPaKHDx+abHvjxg3Gjh3L+vXr8fHxyfhFvojwO4aggDFAEBmU9vYqDbi/8zQ4UM8QKLDMngdVQrytJFjwFll9aXWWAgUADpYOPI5/nKl9wuPDcbB0yNJ5dXodqy+tzpZgwb179wAyNWbe2Dk1Tq2YXYoWLUrVqlU5efIkfn5+JnOGG7MK3n//fbP97O3t6dChg/J9ZgqdGadvTImPjw8TJkxIdX3Xrl2V7ADjOcPDw3n33Xfx8vIyCzKULFmSWrVqsWfPHoKC0vkj/ZS9vT0TJ07ExubZE71mzZpRqFAh7t69y7Vr1yRYIMR/WHR8EgeuhLH3Uii+l0Ipk9+RsS3KZuoYiVodo9/N3D5CvKlu3LhBQkICZcqUMVleqlQpwFDYOL1gwcSJE1Gr1Slm7/n5+bFt2zZOnjzJ2rVrzdZ37NiRWbNm8emnnzJ//nzi4uIYPXo0BQoUoGnTpsp2Op2OXr160bFjR1q0aPEil5q26NBngYHAf+Fx2sOSQAUFKj2tOVAfinqD9csr7izE20iCBW+RD8t+mOXMgujEaFysXTK1Ty7rXEQnplMkJh0alYYPy36YpWNkhbGugVab/fUX2rVrx8mTJ9m6dasSLNDr9WzduhWVSmU2BAGgTJkyWFi82Nsz+dSJYHgiERYWxoULF9ixYwfh4eEsXLjQ5AmBUfny5c2W1apVSxkOYaTVagkKCuLixYtKumJGayqUK1fOJFBglC9fPu7evavMGCCE+O+48yiGvQEh7L0Uit+NhyRqnw0fiI5LIncmswKcbLI2bEuIN4mxLtDzf7eNsxqlVxsgNDSU5cuXM3LkSLMpSSMiIpg6dSoDBw40C0YY5c+fnx9//JHOnTuzbt06wDA80tfX16RN8+fPJzAwkC1btmTq+lIV8whuHXoWHAjLwNAG13LPMgeK1gE7KbYsRFa8kcGCwMBAvv/+e06cOMHDhw/Jnz8/Pj4+DBgwAHt7+wwdo3v37hw9ejTd7dzd3fnnn3+U7zdu3Mjnn3+e6valS5dm69atGWrDqza2xliGVB2SLTULPPN6ZmgoQsW8Fcljm4dfmv+S5XNmV82C/Pnzc/36dR48eJDhfYzbvoxp/nx8fJg+fTq7du1i0qRJWFtbc/ToUYKDg6lVqxYFCxY02ye1+cUzYt68eSkuDwsLY9CgQRw5coSxY8eyaNGiDJ83ISGBbdu2sXPnTq5fv05wcLBSjNAYaMnoLKwpBSkAJTgis7kK8fbT6vScvP2YvQGh7A0I4Wpo6gHnKyFR2FlrqFzIOUNDEaoUzoW99Rv58UaIF5LeUMT0sg8XL16MVqtl6NChZutGjBiBm5sbXbp0SXX/33//ne7du/PBBx/Qp08f4uLimDdvHs2bN2f//v2ULVuWS5cuMX78eDZu3Iizs3PGLux58VFw68iz6QzvnwPS+UyQu8Sz2QqK1QPHlGdnEEK8mDfur+nZs2fp2bMnMTExVK5cmYoVK3Ly5El+/PFH/vnnH37//fcMzQ9fu3btVKdzAdi7dy8xMTF4enqaLDcWgKtZsyb58uUz289YTf5NZWthiy1Z63RrdVr6evZl+L7h6W7bx7MPVmqrbOvoZ4cKFSpw/fp1Tp8+Tbt27dLdPiEhQalzUKVKlQydIzMZCA4ODjRt2pQtW7bwzz//4OPjw+bNmwHzwoZGL2N+dVdXVyZMmED79u35559/CA0NNbvHUzrvw4cP6d69O9evX8fa2hpPT0+8vb0pWbIkXl5erFq1ShlSkRFpzU4hhHh7RcYl8u+VMPYGhLLvcmiasxQ421rSyMOVxuXcaFDGFQdrCz5uWJKBq06me56BDUpgqZHfM+LtYex8R0VFmSw3ZhSk1znfsGEDzZs3Nxvit3XrVtauXcvy5cvR6XQkJSUpgYmkpCTUajVqtZpJkyZRu3Zt1qxZo+zbrFkzypUrx/jx41m7di29evXigw8+oFmzZiYzGxmPm2K2ZGIs3PF/ljkQdBL06Xy+cnKH4g0MmQPF6kGuwmlvL4TIkjcqWJCYmMiwYcOIiYlh1qxZSkcqLi6O4cOH888///DVV19laL7Wjz/+ONV169evZ8uWLZQuXZpZs2aZrDMGCyZNmkSJEiVe/GJyMI1aQ133unQv1z3N6RO7l+tOXfe6aNSaVLd5Hdq0acPmzZvZvn07Y8aMwcHBtJ7C/v378fDwIH/+/IChdkBcXBwuLi7UqFFD2c7YqU1pOr/MTgfUrl07tmzZwo4dO2jSpAm7du3Czs6O5s2bZ/bysqR06dLK1/fu3UsxIPa8r7/+muvXr+Pt7c2CBQvMPpS81qmRhBBvtJsPnrAnIIR/LoVyNPCRyewEzyuVz4Em5fLRpKwbVYvkwkJjGrxs4JGPvnWLpzl9Yt+6xWngkc9sXyFyspIlS6LRaLh27ZrJcuP35cqVS3XfoKAgTp06xbBhw8zWbdiwgbi4ODp16mS2ztLSkp49e7Js2TJu3bpl9nDD1taWatWqceHCBe7cuYO/vz/+/v6sWLHCZLupU6cydepUAgMDKVaoIASdeBYcuHsUtAlpX7y967PMgeL1DZkE8tBBiFfmjQoWbNu2jaCgIOrUqWPyS8nGxoYZM2bQuHFjNmzYwIgRI1JNZU7PlStXmDp1KtbW1syfP99kaj2tVsvly5dxcHCgePHiWb6enMzGwoYhVYdQ1a0qS88v5dyDc8q6Snkr0duzN3Xd62Jj8eZNO+Xt7U316tU5duwYEyZMYN68ecoT88TERMaMGUNkZCTt27fnww8/5Ouvvwbgk08+wcrq2bhY470RFmY+9c7Jk+k/3UquVq1aFChQgAMHDrBnzx4iIyNp165dhqZ2zE6Bgc8+ZBuDJekxXmuvXr3MAgXR0dGcOnUKkOEDQghI0uo4fusx/1wKZU9ACDfCnqS6raVGRc3ieWhcNh9NyuWjaJ60hxnaWmoY9a4H1Yu58OP+G5y+E66s8yqci48alKCBRz5sLd+sALYQWWVjY0P9+vXZtGkTo0aNUh5mGFP+kz/oeJ6/vz+ASYFlo0mTJvHxxx9z5coVwFAvacmSJfzyyy8cO3aMvHnzAlC2bFkOHTqEXq9Xzh0XF8fJkycpV64cBQsW5NixY2bHr169Ov27tGVAo2IU9B0Gwf6QmE5dIhvnZ4GB4vXBtawEB4R4jd6oYIGvry9Aik9bXVxcqFmzJr6+vhw8eJCWLVu+0DkmT55MfHw8o0aNUqrIGl2/fp3Y2Fhq1KghqdIYAgYNCzWkTsE6PEl8QnRiNI5Wjthb2mOptnzjMgqM1Go18+bNo127dmzbto0nT54wfvx4ChcujIWFBd9//z0rVqxg/fr1rF+/HjDcc926dTM5TtmyZfH19WXdunW0a9dOqZdx6tQpfv3110y36f333+fHH39kzpw5QOpDEF4WYxEjSH+YTnIuLoaCl3v37qVBgwbKe+PRo0eMHj2a8PBwwFBIUQjx3xMRk8i+K6HK8ILIOPNsLKPc9lY09HClaTk36pXOi2MmCxHaWmpoWs6NBmXyERkbT2RsIi72NthbW2CpUUlGgXhrjR8/nqZNm9KxY0f69OnD4cOHmTt3LrNmzcLOzo7IyEguXrxIyZIlTYYbnDt3Dmtr6xSnTC5WrBiFCxfGyckJjUZDyZIl2bFjB4DJlM5Tp06lTZs2dOzYkb59+xIfH88333xDUFAQv//+O1ZWVobtdToIvfgscwAoGLSNanfTeLBk5QBFaz8LEOSvCG/o50sh/oveqGCBMbKZ2tRvpUuXxtfXl8uXL79QsGDz5s0cP36ckiVL0qtXL7P1Fy9eBMDNzY3Zs2fj6+tLcHAwLi4uNGrUiE8++SRDaduZpdfr0xwDr9PplGiuXq9/pU9w1So1ugQd9mp7cjvmNgmivMlPkt3c3Ni4cSPDhg1j37597N+/n3LlylG4cGHi4+OV4SZG8fHx3L17l8KFn41969SpE7///jtXrlyhefPmeHl58fDhQ06dOkXLli3ZvXt3qj+PlJa3bduWH3/8kXv37lG4cGGqVatmtk3y7zPz+ibfdtSoUSbrdDod4eHhnDp1ipiYGPLly8ekSZMy3O4+ffpw8uRJ1q1bx/HjxyldurRyvISEBEqXLs3Vq1cJCwtT9k3pOtK7tuTbvcn31ot60Z+t+O9I/h7QarVv7H2i1+u58eAJ/1wK459LoZy4HY42jeEFZdwcaFI2H408XKlSOBca9bO/Iy8yA40K0KDlUfAtNBoNznmKY0geS/tvqRA5WYMGDVi/fj2TJ0+mTZs2uLu7M3v2bEaMGIFWq+XYsWM0bdqUJUuW0LNnT2W/+/fvkytXrhTfGyp0qHWJlHF3gdjHqGMfotcaaokk375Vq1Zs2bKF6dOn07ZtWxwdHalevTp+R45Qyd0Onf8vcPMAqlsHUcU8TPM69BY2UKgG+mL10BevBwW8QJMsaKgH5H0scqDk75mc8Lcoo58x3qhgQUhICECqTzyNkdLQ0NBMH1ur1bJw4UIAhgwZoswln5yxyN2WLVtwcHCgevXqFChQgAsXLrB69Wp2797N8uXLzTISsio2NpbTp0+nu52NjQ0xMTEvpfhdenQ6HbGxsa/8vFnh5OTE4sWL2bNnD3///TcXLlzgypUrODg44ObmxrvvvkvTpk3Zs2cPq1evxsfHhw4dOjBmzBhl/+XLl/Pjjz/i5+fH/v37KVKkCKNHj6Zjx45KsCClqf5iY2PNivm4urpSpUoVTp8+TcuWLVN8PRMSDGP3tFptpqYQjIuLU75+fsoiCwsL7O3tKVWqFHXr1qVjx444OTlluN3e3t789NNPLF68mGvXrrF3715y5cpF7dq1+fDDD3FycuLDDz9kz549DBs2DLVarUyjmJiYqJwnvWszFlWKj49/66dPzGnvJfFq6HQ6dDodcXFxnD179nU3x0SSTk/AgwSOB8dz/F4896NT/yBkoQZPVyveKWhNtQLW5LO3AGLg8S3OPb6V7W17014rIV6WYsWKmWU2Gj8/5sqVi+PHj5ssA+jXrx/9+vUzWWZjY0OZEkXQ3PgH1eH5aIKeDa2cXOQdJp7/E21CDJev31KyBvPnz8+3336LVcx9HB+cMvzb1QFNXOrBAf1EJ/QqDdG5yhGZ14uovF48cSmPXvN0yOcD4MGFVPcXIqc6d+5c+hvlECr9G/Tooly5cuh0Oo4cOULu3Obzoq5bt44vv/ySFi1asGDBgkwde/v27QwfPpwyZcqwefPmFIcZdOnShRMnTtCsWTNmzZqlFMaLioriiy++YOfOnZQqVYrNmzej0WQ9RSogICBTnSIbGxuKFCnyWoIFb7urV6+yYsUKihQpQv/+/V93c4QQ/0E6nY7bt2+bBP9ep6h4HSfux3MiOJ7T9+OJSUr944KztZp3ClhTraA1lfJZYWspf6eEeBNZWFhQvkwJLPZPR+VnPoWykb7WxyQ1+JwrZ49jd/8Yjg9P4/jgFNYx99I8vh41MblKE5XHEByIzu2J7g2aMUsIYcrOzi7NIqlvVGaBRqNJdy5ZeLEUXmMk9uOPP061HsHSpUu5e/cuRYoUMSl05+joyIwZMzh16hTXrl3j4MGDNGjQINNtSI2trW2qQy/A8AHy6tWrqFQq7OzsXmmwQK/XK09BbW1t39paDpUrV+arr7563c0Qb7H/yntJvDidTodarcbW1pbSpUu/8sCwXq/namg0vpfD2HsplFO3w0ljdAHlCzjSyCMfTcq6UtHdGbX61d3TWq1WeXJTsWLFbAngC/FfoEKH6vKONAMFACq/RVi4V6NCzBU4NTvNbfX5yhuGFRSrD0VrY2PjjA3gmuZeQrxdctrfpcuXL2co0/WNChbY29sTHh6eaqE049OWzFaQv337NmfPnsXZ2ZmmTZumup2NjU2qQwwcHByoVasWmzdv5ty5c9kaLFCpVGneUCqVSulYJP/6VXud5xbibSLvJZGS5L/nNRrNKwkWxCdpORr4iL0Boey9FMKdR6l/cLCyUFOnZB6alHOjcdl8FMz1Zjwt1Gg0b/yHMiHeGIkJcOibDG2q8vsBOq2CA1+BLlnh0jylns1WUKweKvu8yF80IZ7JCX+XMvo59I0KFuTLl4/w8HDCwsIoUKCA2XpjrYLMFhn8+++/AWjRooVJxkBmGdsk442FEELkVA+i4/G9FMo/l0L590oYTxJSrz+Qz9GaJuXy0bisG3VK5cHO6o362CCEyIykOIiLgKAMTv8cdAK0CVCqKdjlfRogqAdOBV9uO4UQb4w36q++h4cHV65c4erVq1SqVMls/bVr15TtMmP//v0A+Pj4pLpNWFgYCxYsICIigm+++casyBvAvXuGcVopBTKEEEKIN5Fer+fS/Sj2BoSw91Iop++Ek9ZovoruzjQum4+m5dyoUNDplQ4vEEJkE50OHl41dPjvHoeg42CbG5p8mbnjJMVDl7Uvp41CiDfeGxUsaNiwIVu2bGHXrl20b9/eZN3jx4/x9/fH2toab2/vDB8zKSmJCxcuoNFoqFKlSqrbOTo6smXLFuLi4vD396dOnTom6yMiIti3bx8qlYp69epl6rqEEEKIVykuUcuRGw/5J8CQQRAUnnpGnI2lmrqlXJ9mEOTDzSmNOdGFEG+m6DBDQMAYGAg6BfERptsU9AK7PJk7rq1L9rVRCJHjvFHBgqZNm+Lu7s6+fftYs2YNnTt3Bgy1Cr744gtiYmLo3r27yUwJiYmJ3L59G4AiRYqYTYl47do1YmNj8fDwwNY29fGVNjY2tGvXjt9//50pU6awdOlS3N3dAUOgYMiQIURGRtKmTRuKFi2a3ZcuhBBCZEloZBz/XApl76VQDl59QGxi6sMLCjjbKNkD3iXzYGP5Zo+tFEIkkxgL9848DQycMAQHwm+nv9/9c2BhA+5VMzYUwf0dsHbMenuFEDnWGxUssLGxYfbs2fTr14+JEyeybt06ChUqxKlTpwgNDcXT05Phw4eb7BMSEkLLli0B2Lt3L4UKFTJZf/fuXcAwx316Ro4cycWLFzl9+jQtW7akatWq2NjYcOzYMaKionjnnXeYMGFCNl1txiUvQGGsli2EEOLtknw2oIwUHtLr9VwIjlSKE569G5Hm9pUL56Jp2Xw0LpeP8gWcpMimEDmBTgcPr5lmDYRcMC04mCoVuJaFQu/A/9m77/Amyy6O4990L1paOoCyZ8sSmbI3AioCCoKI4MItIlPAlyEgQ8WJOBFxIIKCCAoCBQVkFmSVVfZqoUChu02e949K2jBLaUnH73NdXu+b8zxJTqpPm5zc59zB9aBUvfSVBU0Gwtw+N797k1fBwfmmp4lIwZWnigUA9evX56effuKjjz5i48aNHDhwgFKlStGjRw+eeOIJPD09b+nxzp07B4C3t/dNz/Xy8mL27NnMnj2bRYsWER4ejoODA+XLl6dz58707t37qpULd4LJZMLJyYm0tDSSkpLw8vK64zmIiEjuurzjj5OT03U/yCemmFkXeZblEdGs3BNF1MVr7x4E4OHiSLPK/rQJCaJlSACBRdReIJLn2bQTbElfAXBlO8H1eBVPLwgE103/35J3X3tlQOV2cM8LsH769R/rnhfSz3PMcx8VROQOMhnGjcYcSW6KiIggISEBDw8PQkNDb3ju6dOnOX/+PF5eXpQqVeqOfSNkGAYJCQlA+paV+iZKJHt0LcmNGIbB8ePHiYuLw9fXl+LFi1uPnY5NYsWeKFZGRLPmwFmS0yzXfZzgou60CQ2kTWgQDcv7Fdj2ArPZzLZt2wCoXbt2nt+iSuSaUhPh1HbbVQNZaScAcPaAErVtVw14B0NW/7akJsL+P2Hte+lFictK1YPGA9ILBc55Y3tUkfwgv/1dyurnUJUL8wkfHx/Onz9PXFwcx48fx9fXFzc3t1xvSTAMw7o01mKx6AOOSDbpWpJrsVgsJCUlWX+/AxQp4s2/xy6wYk80KyKi2HXy4nXvbzJBnTK+tA4JpE1oIFWDiui/LZG86Kp2gi0QtTP77QQBobf3rb+zO1TthFG5HZbEWEi8gIOnHybXIumtB1pRICKoWJBvuLu7ExwczIkTJ4iLi7O+qbwTLn/A0awEkduja0mux2IYxCWlsfakhR9+XseZS9dvL/BydaJ5lf/aC6oGUMzL9Q5mKiJZEn82Y7XA8c1wMhySstpOEPRfUeC/4kDJu8Ht5u20t8zRCQsm9p04j6OjIxX9i+X5b0NF5M5SsSAf8fb2xtnZmdjYWC5dukRaWlaq0bfHMAxrH627u7u+sRLJJl1LcqUUs4VLialExaWx7mg8G08kcezitX+vl/HzSG8vCAmiQXk/XJxUcBLJM65qJ9gCF45k7b63206QAy63yImIXEnFgnzG3d0dd3d3ihcvjmEY5PbICbPZzPbt2wGoXLmyKs4i2aRrScwWg+0nLrBqTzRhe8+w7/Ql0ixwrQkEDiaoV9aP1qGBtA0NpGKAlwpMInmBtZ1gS0ZxIFvtBP8VBwKracm/iORZ+u2Uj5lMplx/85i5GOHg4KDl0yLZpGupcIpLTuPvfWdYsSeasD3RxMSnXPfcIm5OtKgSQNvQIFpUCcDX0+UOZioi15Qf2glERHKJigUiIiI56Ni5BFZERLFiTzTrD8aQar7+CrDy/p60CQmkdWgg9cv54eyoIpKI3aQmwal/bVcNZLWdwMk9vRhwuTAQXBd8St3RdgIRkZymYoGIiMhtMFsMwo+eZ0VE+u4F+6OvP4DW0cFE/XK+tA0NonVIIBUCvO5gpiJiZbHAuUjbVQO31E5Q1XbVgNoJRKQA0m81ERGRW3QxKZW/9p1hRUQ0q/ZGcz4h9brn+rg706pqAK3/ay/wcXe+g5mKCJCpneC/VQMntqidQETkJlQsEBERyYLDZ+NZHhHFyj3RbDx0jjTL9dsLKgV60SYkkDahQdQpUxQntReI3DmpSXB6u+2qgVtqJ6id3kZQql56cUDtBCJSSKlYICIicg1pZgubj5xn5Z5olkdEcfBM/HXPdXIw0bCCH21CgmgTGkjZYp53MFORQsymneC/VQOnd4Ll+qt9MlyrnSAUHLX6R0QEVCwQERGxik1IZdW+aGt7wcWk6/cv+3m60LJqAG1CgmhWxR9vN33AEMl18WfTiwKXVw3cSjuBZ+B/qwX+WzVQ8m5w88ndfEVE8jEVC0REpNAyDIPIM/Gs3BPF8ohothw5j/kG7QVVg4rQJjSQNqGB1C7ti6ODliaL5BqbdoL/Vg2cP5y1+6qdQETktqlYICIihUpKmoXNh8+xPCKalXuiOByTcN1zXRwduKdisfTtDUMCKe3ncQczFSlEDANiIjNmDGS3nSC4TnpxILCa2glERG6TigUiIlLgnYtPYdXe9PaCv/ad4VLy9dsL/L1caFU1fThh08r+eLnqT6VIjouPyVQY2PJfO8GFrN1X7QQiIneE3gGJiEiBYxgG+6Pj0ncviIgm/Oh5btBdQGgJb9qGpq8euKtUURzUXiCSc1KT4PQO21UD2W4nqAs+pdVOICJyB6hYICIiBUJympkNB8+xck80K/ZEcexc4nXPdXFyoEnFYrQODaJNSCAli7rfwUxFCrCr2gm2pBcKstpO4F/FdtWA2glEROxGxQIREcm3zsYlE7Ynvb3g7/1niE8xX/fcwCKutAkNpHVIEE0qFcPDRX8CRW5bfEzG8MHLxQG1E4iIFAh6pyQiIvmGYRjsOX2JFRFRrNgTzbZjFzBu0F5QM9iH1iGBtA0NonpJb7UXiNyOtGQ4td22MHD+UNbu6+QGJWrbFgfUTiAikqepWCAiInlaUqqZfw7GsDIimpV7ojlx4frtBW7ODjSt5E+b0CBaVQ2kuI/bHcxUpAAxDDh3MGPGwPHNt9BOAPhXVTuBiEg+p2KBiIjkOdEXk/6bPRDNmv1nSUy9fntBCR83WocE0iY0kMYV/XFzdryDmYoUELfVThCQvm1hqboZ2xeqnUBEJN9TsUBEROzOMAx2nbzIioj04YTbj8fe8Py7ShelzX8FgmolvDFpKbNI1lnbCTIVB9ROICIiV1CxQERE7CIxxcy6yLMsj4hm5Z4ooi4mX/dcDxdHmlX2p01IEC1DAggsovYCkSy57XaCKrarBoKqq51ARKSQULFARETumNOxSazYE8XKiGjWHDhLcprluucGF3WnTWggbUKDaFjeT+0FIlmRcC6jMHBiS/o/ieezdl+1E4iISCYqFoiISK6xWAx2nIhlxZ5oVkREsevkxeueazLB3aWL0iY0iDahgVQNKqL2ggJg2bJljBw5kl27dhEUFMSLL77IoEGDrvnv9uuvv+aJJ5647mN9/fXX9O3bF4BFixYxe/ZsTp48SZkyZXjxxRd5+eWXbR73wIEDDBw4kL///hsnJye6d+/O5MmT8fb2tp4TFxfHsGHDmD9/PnFxcTRv3pxp06ZRtWrVHPwp5JK05PRVAplXDWSrnaBOenGgaBm1E4iIiJWKBSIikqMSUtL4e//Z9N0L9kZz5tL12wu8XJ1oXsWf1iFBtKoaQDEv1zuYqeS29evXc//99/PII4/w5ptvsmbNGoYOHUpaWhrDhw+/6vz77ruPf/7556r4008/zcWLF+nUqRMAX375JWPHjuXxxx+nd+/ebN68mddee424uDhGjBgBwIULF2jdujXFixdn1qxZREdHM3ToUA4dOsQff/xhfexHH32U9evXM2XKFLy9vRk7diytWrVi165d+Pr65tJPJhuubCc4sSW9UGBOydr91U4gIiK3SMUCERG5bcfPJxC2J5rlEdH8czCGlBu0F5T2c6dNSBBtQ4NoUN4PFyeHO5ip3EmjR4/m7rvvZvbs2QB06NCB1NRUJk6cyIABA3B3d7c5PyAggICAAJvYBx98QEREBOvWrbMemzRpEm3atOGVV16hdu3atG/fnn379vHhhx9aiwWffPIJMTExhIeH4+/vD0CpUqXo1KkTa9eupUmTJvzzzz8sWrSIJUuW0LFjRwCaNWtG+fLlmT59OiNHjszVn88NJZxLLwhkLg5kq52gLpSsA+5FczVdEREpeFQsEBGRW2a2GGw7doGVe6JYERHNntOXrnuugwnqlfWjdWggbUICqRTopfaCQiA5OZlVq1YxduxYm/jDDz/MlClTWLNmDe3atbvhY0RFRTFq1Cief/55GjZsaI3/+uuvHDpku9zexcWFpKQk6+2lS5fSrFkza6EAoH379hQpUoQlS5bQpEkTli5diqenJ+3bt7eeExAQQIsWLViyZMmdKxZc2U5wYkv6KoKscHKDEnfZrhpQO4GIiOQAFQtERK4hp/usH3vsMQCWL1/Oc889x549eyhatCht27Zl0qRJBAUFWc/fsWMHQ4cOZcOGDbi6utK+fXumTJlic87x48cZMmQIy5cvJzk5mTZt2jBlyhQqV66cgz8FW5eSUlmzP333glV7o4mJv/7y5yJuTrSoEkDb0CBaVAnA19Ml1/KSvOngwYOkpKRQpUoVm3ilSpUA2Lt3702LBaNHj8bBwYHx48fbxENDQ0lOTsYwDM6dO8fChQv55ptvGDRokPWciIgIHnnkEZv7OTo6Ur58efbu3Ws9p0KFCjg62g7PrFSpEt99992tveCsutxOkHnVQLbbCepCUA21E4iISK5QsUBE5Aq51We9dOlSRo4cSf/+/ZkwYQKnT5/mjTfeoHXr1mzZsgU3NzeioqJo3bo1pUuX5uuvvyYxMZFhw4bRsWNHNmzYgLOzM/Hx8bRt2xaTycQnn3yCq6srb775Js2bN2fXrl34+fnl2M/i2LkElkdEsXJPNOsPxpBqNq57bnl/T9qEBNI6NJD65fxwdlR7QWEWGxsLYDNMEKBIkSIAXLx4/WGXANHR0cyaNYtBgwZRtGjRa56zY8cO6tevD0C9evVsigWxsbFXPffl57/83Fk557bdTjuBh/9/Awj/Kw6onUBEJEfY60uhcuXKceTIkWs+Trly5ayr5s6ePcvrr7/OkiVLiI+Pp169ekydOpW77777dl/6LVGxQETkCrnRZ202m5k5cyZNmjRh+vTp1m8yq1atyj333MNvv/3Gww8/zMKFCzl79izr16+nYsWKABQtWpQOHTqwbt06WrRowbx589i7dy87d+6kevXqANSsWZPy5cvz008/8eyzz2b7tZstBuFHz7MiIn33gv3Rcdc919HBRP1yvrQJSd+9oEKAV7afVwoei+X6cysAHBxuXEz64osvMJvNDBgw4LrnlChRghUrVnD06FFGjRpF48aNCQ8Px8PD44bPf/m5s3LOLUlLhtM7M3YmOLH5NtoJ6kLRsmonEBHJYfb8UuiXX34hOdl28PM///zDa6+9xnPPPQeAYRh069aNiIgIJk+eTMmSJZkyZQotWrTg33//pXz58rnwU7k2FQtERDLJrT5ri8VCw4YNr6oIh4SEABAZGQlg7bnO/G1nsWLFAIiJiQGgS5curF271loogPR+7cz3vxUXk1L5a98ZVkREE7Y3mgsJqdc918fdmZZVA2gTGkSLygH4eGj5s1ybj48PAJcu2c6zuPyN/eXj1zNv3jzat29/VSEus4CAAGrXro2joyMVKlSwFtMef/xxfHx8rnruy88fHBxszSEqKuqa59wsv9tuJyhW+b9VA3XT/1ftBCIid4Q9vxS68n3gxYsX6dWrF/fddx/Dhg0DYP/+/fz999988cUXPPnkkwA0btyYgIAAvvnmG0aPHp0rP5drUbFARCST3OqzdnBwYODAgVedu2DBAgDrB/8ePXowadIkXnrpJd577z2SkpIYMmQIJUqUoG3btkD6B5zGjRsDkJKSwp49exg0aBD+/v706NEjS6/z0Nl4VkSkDyfcdPgcaZbrtxdUDPCkbWgQrUMCqVvWFye1F0gWVKxYEUdHRw4cOGATv3w7NDT0uvc9ceIEW7du5dVXX73qWFxcHAsWLMDLy4vSpUtb43Xq1AHg5MmTQPobtCuf22w2c+jQIbp162Y9Z+nSpVgsFpuVBAcOHLg6v4RzcCI806qBLZB47iY/hf+onUBEJE+w95dCVxo/fjzR0dGsWrXKGrvWF0deXl64ublZvzi6U1QsEBHJ5E70WV8WGRnJ4MGDqV27tnUJW/HixZkxYwY9e/Zk7ty5APj6+hIWFnbN3uoHHniAZcuW4eDgwJdffkmJEiWu+VxpZgubj5xPLxDsiebgmfjr5uXkYKJhBT/ahKQXCMr5e97wdYhci5ubG82bN+fnn39m8ODB1j7Q+fPn4+PjQ4MGDa573w0bNgDQpEmTq445OTnRv39/OnToYLNbwbJlywCoVasWgHUw6JkzZ6zfCC1btoy4uDjr7gft27dnwoQJLF261Lp14pkzZ/jrr78Y8WJf2PDpbbQT1M1YNaB2AhGRPMHeXwpldvToUd5//31ef/11ypYta43XqlWL1q1bM27cOEJDQylZsiRvvvkmCQkJ9OzZM8uvNSeoWCAiksmd6LMG2LNnD+3bt8fJyYl58+ZZH/f777+nT58+dO/enSeffJKkpCTefvtt2rdvz+rVq60V6sveeOMNhg4dynfffccTTzyB2WzmqaeeAiA2IZVV+6JZ8d/uBReT0q6bj6+HM61CAmkTEkSzKv54u2k5tNy+UaNG0bZtW3r06MGTTz7JunXrmDp1KpMmTcLDw4OLFy+ye/duKlasaLPEc8eOHbi6ulrndmTm5ubGsGHDGDt2LMWLF6dr167s3LmTsWPH0rZtW+uH/ueff54PP/yQdu3aMXr0aGJiYhg6dCgdO3a0rsxp3rw5LVu2pPejvZgyoCfFzFGM+Xo5RR0TeZ7Z8HsWPuCrnUBEJN+w95dCmb333nu4urpe8z3jJ598QocOHahZsyYAJpOJmTNnWv9+3SkqFoiIZHIn+qxXrVpF9+7d8fLyIiwszOYD0ZgxY2jcuDFz5syxxtq1a0doaCijRo1i3rx5No/VtGlTANq0acPhw4cZM2485sotWR4RzZYj5zHfoL2galARWocG0jY0kNqlfXF00DefkrNat27N/PnzGT16NF26dCE4OJipU6dady0IDw+nVatWzJw5k379+lnvFxUVdf03YRYzb7w+hABvN6Z/+gUzZ84kIMCf557tz5ix46wrGAICAggLC+PVV1+ld+/eFClShO7du/P2uBGwf7m1neDn5pG8diGBIZM/xWJAk9JOzH3QHV/3a1wP1naC/1YNBNcBd98c/qmJiEhusfeXQpclJSXx5Zdf8tRTT+Hra/t3JCIigiZNmlCuXDnmzZuHj48Pc+fO5emnn8bDw4Pu3bvf8LlzkooFIiKZ5Faf9WV//PEHY8eOJSQkhN9//906aO2yI0eO0LVrV5uYu7s79erVY9euXQBs2rSJQ4cO0aNHD1LSLGw+fI7lEdHsN/tz/MQaJi7Zc83ndnF0oGEFP+v8gdJ+HtfNUySndO3a9ar/pi9r2bIlhnF1QWv69OlMnz796jukJsL+P3FYO40XYsN5oSeACwRXhiZNwdH2sWqEVGH5rMlwfMt/xYFN8Ektm3N8TTDzQXdmPmg70ApH1/R2gsyrBtROICKSr9n7S6HLli1bxsWLF+ndu/dVx6ZNm4bZbObPP/+0Drlu27YtFy5c4MUXX+Thhx++5haPuUHFAhGRTHKrzxpgzZo1jB49miZNmrBo0aJrziAICQlh7dq1GIZhfe6kpCTCw8OthYqfF/7G1EkT+e20F1tjHLmUnIZhMRO9NxyXwHI2j+fv5UKrqoG0CQ2kaeUAvFz1a1/yqdREWDEO1l+jiHBiC8ztA/e8AC2GwboP4OBqOL09e7sTBNdNbydwcsnZ1yAiInZl7y+FLvvtt98oX7489erVu+rYkSNHCAkJsRYKLmvevDk//fQT0dHRBAUFXTeHnKR3jSIiV8iNPuukpCQmTJiAp6cnr7/+Ort377Y5XqpUKUqVKsWbb75Jly5d6NGjB0899RTJyclMmzaN4ydO8NDgyTz8yTo2XawM7t7MGf8iRZs8Co5OXNq6mJQzhwnq8SahJbxpGxpI65BA7ipVFAe1F0h+ZzHD/j+vXSjIbP309NYAB6f0lQTX41Hsv50J6qmdQESkELH3l0KXrV+//rqPExISwldffcW5c+fw8/OzxteuXYuPj89VRYTcpGKBiMgVcrrP2mwx+GvNOs6cOQNgHcCW2ejRoxkzZgydO3dmyZIljB03jge7dMXJzQPXEpXx7/0OPx31AM5j8vAlqPcULqyaScyyjzFSkgiqVJ2nps/hhUfuo2RR96seXyRfM6fA2mlZO3f9J/DIt/D3O2BJu7qdILgu+JZTO4GISCFlzy+FIH0b34iICHr16nXN/F577TW+/fZb2rRpw4gRI/Dx8eHnn39mzpw5vPvuuzg53bmP8CoWiIhcQ071WSelmlm1N5oZ+90pO+w3a7x26aI816ICLasG4ubsCMDZuGTC9kSz4kwAF9v+jxLNzdfNr2TpsvSZMJ02oUE0qVQMDxf9OpcCLPkSnAjP2rkntoBhhoe+SJ8xoHYCERHJJOe/FDLz97q/s/SlEEBMTAxpaWlXDTa8rGzZsqxbt47XX3+dZ555BovFQrVq1Zg/fz7dunW7vRd/i0zGtd7xyh0RERFBQkICHh4eN+yPsSez2cy2bdsAqF27No6OjvZNSCQfSUo1M3XpXr5cc+i65zzZpBwvta7MwB+38tf+s9zoN3KNYG/ahATRJjSQGiV91F4ghYNhQHQEfNIo6/d5aTP4V869nEQKCL3PE7k9SWlJrDmxhi93fsnOszut8Zr+NXmyxpM0DW6Km5ObHTO8tqx+DtVXUSIiucBsMVi1N/qGhQKAr9Ye5q7SRald2pfV+87aHHNzdqBpJX9ah6TvXlDcJ+/9sRHJVTGRsPEzuOf5W7uf242nWYuIiNyupLQkPgj/gNkRs686tuPsDgauGkif0D68UueVPFkwyAoVC0REckGq2cInqyKzdO7MtYeZ8VhdPg47gL+XK21C03cvaFzR39qiIFKopMSnzxxY9yEYFmj6avoQwqy0IgTXBdciuZ6iiIgUXmaLmTUn1lyzUJDZ7IjZ1AmqQ6vSrXB0yH/v6VQsEBHJBXFJafx7PDZL5247dgHDMFg6sDkV/D3v2N65InmOYcDuBbB0JFw8kRHf8jXc8xLMf/Lmj9HkVXBwzqUERUREINWSypc7v8zSuV/t/IqmwU3zZbHAwd4JiIgURLGJqbd0fmKqmYoBXioUSOEVvQe+6Qw/9bMtFHgHQ1BNCOkE97xw48e45wWo3A4c9V2IiIjknvjUeJsZBTey4+wO4lPjczmj3KG/piIiOSwhJQ13l1urHnu76ZtQKaSSLsLqybBhRvpWh5c5OEPjl6HZIHD1So+1+R+UaQRr30vf9eCyUvWg8YD0QoGztg4VEZHcdTHl4i2dfynlEsXci+VSNrlHxQIRkRy0dNdp3vxtN/Ofb8xdpXyy1IpQu3RRPF3161gKGcOA7T/Cn/+DuCjbY5XaQofJ4F/JNu7sDlU7YVRuhyUxFhIv4ODph8m1SHpxQSsKREQkl5ktZjycPG7pPkVc8ucsHbUhiIjkgJMXEnnmm808O3sLx88n8sPGozzZtHyW7vtciwo4O6r9QAqRU9vhqw7wy7O2hYKiZaHnD9B73tWFgsscnbA4uLDvxHkiYx2wuBdLLyKoUCAiIrlsS9QWei/pjclkooZ/jSzdp6Z/TTydPXM5s9yhYoGIyG1IM1v44u+DtH13NX/uzvjQ88OGozSr7M9TNykYPNW0PC2qBuLkqF/HUggknIPFg+GzFnBsfUbcyQ1ajoAXN6TPJsjC7I6EhAQuXbqUi8mKiIikOxV3iiGrh9Dvj37sitnFvH3z6BPaJ0v3fbLGkzjn08G7KsOLiGTT9uMXeP3nHew6adu31qC8HxO71sTP05XB91alfjlfZqw+yLZjF6zn3F26KM+2qECLqoG4a3tEKegsFtg6G1aMhYQY22Mh98O9E8G3rH1yExERuY7EtES+3vk1X+38iiRzkjU+Z88cfn7wZx4LfYxvI7697v37hPbJtzshgIoFIiK37FJSKu8s28c3/xzGYmTEfT2cGdEplIfrlrLuauDu7Ejb0CBaVAnkYmIyFxNT8fV0w9PVCWdHk1YUSMF3fAssGQwnw23jxSpBx8np8wlERETyEMMwWHpkKe9ufpdT8adsjlUvVp3hDYbj7+7PgDoDqBtUl692fsWOszus59Tyr8UTNZ6gaXBT3Jzc7nT6OUbFAhGRLDIMg6W7TjP6111EXUy2OfZw3VKM6BSKn6fLVfdzcnTAhJlzJ4/g6OiIb0BFHB3zZ4VZJMviz8LyMekrCjJz9oQWQ9O3OXS6+noRERGxp73n9jJp4yQ2R222iRdzK8aAOgN4sNKDOJjSv+xxc3KjVelWNA1uysXki1xKvkRR96J4Onvi7OCcb1cUXKZigYhIFhw/n8DohbtYsSfaJl7B35PxXWvQuKL/TR8jISEht9ITyTvMabD5KwgbD0lX7AZS42Fo/yZ4l7RPbiIiItdxLukcH239iPn752MxLNa4k4MTj4U+xrO1nsXLxeuq+zk6OIIBMUdjcHR0pGjFogXmSyEVC0REbiDNbGHm2sO8++c+ElPN1riLowMvtKrI8y0r4upUMP4giNy2I+tgyRCI2mkbD6wGHadA+Wb2yUtEROQ6Ui2p/LjnR6b/O51LKbaDc5uXas6QekMo51Pupo9TEL8UUrFAROQ6th49z4hfdhJxynaAYaMKxRjftQYVA66uLosUShdPwZ//gx1zbeOu3tBqBNR/Ghzz5yRoEREpuNadWMfkTZM5GHvQJl7OuxxD6w+lWanCXeRWsUBE5AoXk1J5e+leZq8/gpFpgKGfpwsjO4XSrU6wdYChSKGWlgIbZsDqyZASZ3usdm9oOwa8Au2SmoiIyPUcvXiUqZunsurYKpu4l7MXz9/1PL1CeuGsIreKBSIilxmGwZIdpxm7aBfRl2wHGPaoV4rXO4bie40BhiKFUmQY/D4Uzu6zjZe4Czq9DaUb2CcvERGR64hPjeez7Z8xe/dsUi2p1rgJE90qd+Plu1+mmHsxO2aYt6hYICICHDuXwP8W7iRs7xmbeMUATyZ0rck9FfSHQwSAC8dg6QiI+NU27u4Lbf4HdfpCPp/+LCIiBYvFsLAochHvhb/H2cSzNsfqBNZhWINhVCtWzU7Z5V0qFohIoZZqtvDlmkO8t3wfSakZk29dnBx4uVUl+reooAGGIgCpSfDPh/DXO5CWmOmACeo9Aa3fAA8/u6UnIiJyLdvPbGfSxknsOLvDJh7kEcSgeoPoUK6D2kuvQ8UCESm0thw5z8hfdrDntO3k2yaVijG+S03K+3vaKTORPGbvH/DHMDh/2DZeqgF0mgola9sjKxERkeuKTojm/fD3+TXSdiWcq6MrT9R4gieqP4GHs4edsssfVCwQkUInNjGVqUv38N2GozYDDIt5uvDG/dV4sHZJVZhFAGIi4Y/XYf9S27hnALQbB7V6goODfXITERG5hmRzMrN3z+az7Z+RaLMSDtqXbc9r9V4j2CvYTtnlLyoWiEihYRgGv20/xbjfdnPmigGGvRqUZliHEIp6aIChCCnx8Pe7sO4DMKdkxE2O0PBZaDkc3Hzsl5+IiMgVDMMg7FgYUzdN5XjccZtjVXyrMLzBcOoXr2+n7PInFQtEpFA4GpPAqIU7+Wuf7QDDyoFeTOxWk/rl1GstgmHA7oWwdCRctH2jRblm0HEKBGkAlIiI5C2RFyKZvHEy/5z6xyZe1LUoL9/9Mt0qd8PJQR99b5V+YiJSoKWaLXz+90HeX76f5LSMAYauTg680qYyzzSrgIuTllGLcGYvLBkCh1bbxouUhHvHQ/VuoPYcERHJQ2KTY/nk30+Ys2cOZsNsjTuaHOkZ0pPn73oeH1ethMsuFQtEpMDafPgcI37Zwb6oOJt4s8r+jO9Sg7LFNMBQhKSLsHoybJgBlrSMuIMzNH4Jmg0GVy/75SciInIFs8XM/P3z+XDrh1xIvmBz7J4S9zCs/jAq+VayT3IFiIoFIlLgxCakMumPPfyw8ahN3N/LlTfuD6XzXRpgKIJhwI6fYNkbEHfa9ljFNuktB/56oyUiInnLptObmLRxEvvO77OJl/IqxZD6Q2hVupXe5+UQFQtEpMAwDINf/z3Jm7/t5mxcis2xRxuWYdi9Ifh4ONspO5E85PSO9JaDo7a9nRQtAx0mQdVOajkQEZE85WTcSd7Z/A7Ljiyzibs7udO/Vn8er/Y4Lo4aVJ2TVCwQkQLhSEw8oxbs5O/9Z23iVYOKMLFbDeqW1QBDERLPQ9hE2PQFGBkzPHByg6YDockAcHa3X34iIiJXSEhN4KudX/H1rq9JNtvuZtW5YmcG1BlAoEegnbIr2FQsEJF8LSXNwmd/RfLhygM2AwzdnB0Y0KYKTzcrj7OjBhhKIWexwLZvYfkYSIixPRZyP9w7AXzL2SMzERGRazIMgz8O/8E7m98hKiHK5lhN/5oMazCMuwLuslN2hYOKBSKSb208lD7A8EC07QDDFlUCePPBGpQp5mGnzETykBNbYPFgOBluG/ermD6XoHJb++QlIiJyHbtjdjN542TCo23/dvm7+/NqnVd5oOIDOJj0ZVBuU7FARPKdCwkpTPp9D3M2HbOJBxRxZfQD1bivZgkNthGJPwsrxkL4bMDIiDt7QPMh0OhFcHK1W3oiIiJXikmM4cOtH/Lz/p8xMv3tcnZwpk+1PvSv1R9PZ+1mdaeoWCAi+YZhGCzYdoLxv0UQE58xwNBkgscalmXwvVXxcdcAQynkzGmwZSasfBOSYm2PVe8G7ceDT7B9chMREbmGVHMqP+z5gRn/zuBS6iWbYy1Lt2RIvSGU8S5jp+wKLxULRCRfOHQ2nlELdrD2gG2/dUjxIkzsVpM6ZXztlJlIHnLkn/RdDqJ22MYDQqHTFCjf3D55iYiIXMeaE2uYvHEyhy8etolX8KnAsPrDaBzc2D6JiYoFIpK3JaeZ+XT1QT4KO0BKpgGG7s6OvNq2Mk821QBDES6dhj//B9t/tI27ekPL16HBM+CoVTciIpJ3HI49zNTNU/nr+F828SLORXih9gs8EvIIzg7622VPKhaISJ61/mAMI3/ZQeSZeJt4q6oBjHuwBqX9NMBQCjlzKmyYAasmQ4rtsk3uehTajoEiQXZJTURE5FriUuL4dPunfBvxLWmWNGvchImHqzzMS3e/hJ+btrzOC1QsEJE853x8ChOXRPDTluM28cAirozpXJ2ONYprgKHIwVWwZCic3WsbL14LOr0NZRraJS0REZFrsRgWFh5YyHvh73Eu6ZzNsbpBdRneYDghfiF2yk6uRcUCEckzDMNgfvgJJi6J4NwVAwwfv6csg+6tireblqNJIXfhGCwbBbsX2MbdfaHN/6BOX3BwtEtqIiIi17ItehtvbXyL3TG7beIlPEswqN4g2pdtry+C8iAVC0QkT4g8E8fIX3aw/qBtpTm0hDdvdatJ7dJF7ZOYSF6RmgT/fAh/vwupCZkOmKBuv/RCgYeWbYqISN4RFR/FtPBpLD642Cbu5ujGkzWfpF/1frg7udspO7kZFQtExK6S08x8siqS6WGRpJhtBxgOal+Ffo3L4aQBhlLY7VsKvw+D84ds46XqQ6epUPJu++QlIiJyDcnmZGbtmsUXO74gMS3R5liHch14re5rlPAqYafsJKtULBARu1kXeZZRv+zk4FnbAYZtQwMZ07k6pXw1wFAKuXMH4Y/XYd8ftnHPAGg7Fu7qBQ4qpomISN5gGAYrj65k6uapnIg7YXMsxC+E4Q2GUzeorp2yk1ulYoGI3HHn4lOYsDiC+eG2AwyLe7sxpnN17q0epL41KdxSEmDNu7D2AzAnZ8RNjtCgP7QcDu5F7ZaeiIjIlfad38eUjVPYcHqDTdzX1ZdX6rxC10pdcdRMnXxFxQIRuWMMw+CnLceZuCSCCwmp1riDCfo2Lseg9lXxctWvJSnEDAMiFsHSERB7zPZY2abQaQoEVbdPbiIiItdwIekCH2/7mLn75mIxMlpKnUxO9AzpyfO1n8fbxduOGUp26V25iNwRB6IvMeKXnWw8ZDvAsEawNxO71qRWqaL2SUwkrzizD34fCgfDbONFSkD78VDjofStQURERPKANEsaP+37iY+3fUxscqzNsSYlmzC0/lAqFK1gp+wkJ6hYICK5KinVzPSwA3yyOpJUs2GNe7o48lr7qvRtVFYDDKVwS74Eq6fA+ulgScuIOzhDoxeh+RBw9bJffiIiIlfYcGoDkzZO4sCFAzbxMkXKMLT+UJqXaq6W0gJAxQIRyTVrD5xl1IKdHLpigGH7akGM6VydkkW1VY4UYoYBO+bBslEQd9r2WMXW0HEK+Fe2T24iIiLXcPzScd7Z/A7Ljy63iXs6e/JsrWfpHdobF0cXO2UnOU3FAhHJcWfjkpmwOIJfttpOwS3h48bYztVpX724nTITySNO74QlQ+DoOtu4Txno8BaE3KeWAxERyTMSUhP4YscXzNo1ixRLis2xLpW6MKDOAPzd/e2UneQWFQtEJMdYLAZzNx/jrd/3EJtoO8DwiSblGdiuigYYSuGWeAHCJsKmzyHTECgcXaHpQGgyAFy0ZaiIiOQNhmGw+NBipm2ZRnRCtM2xWgG1eL3B69Twr2Gn7CS36V27iOSI/VGXGPHLDjYdPm8Trxnsw1vdalIj2MdOmYnkARYLbPsOlo+BhLO2x6p2gnsngl95u6QmIiJyLbvO7mLSxklsO7PNJh7oHsirdV/lvgr34WDS3KmCTMUCEbktSalmPlp5gE//sh1g6OXqxOD2VejTqByODlpOLYXYiXBYMhhObLGN+1WADpOhSnv75CUiInINZxPP8n74+yw8sBCDjPd2zg7O9Kvej6drPo2Hs1bBFQYqFohItv217wxvLNzJkZgEm3iH6sUZ3bkaJXw0wFAKsfgYWDEWwr+BTG+2cPaA5oOh0Uvg5Gq39ERERDJLNafyXcR3zNg+g/hU2+HUrUu3ZnD9wZQuUtpO2Yk9qFggIrfszKVkxi/ezcJtJ23iwUXdGdu5Om2rBdkpM5E8wGKGzV/ByvGQdMH2WPWu0H48+JSyS2oiIiLX8tfxv5iyaQpHLh6xiVcqWomh9YfSqGQjO2Um9qRigYhkmcViMGfTMSb9HsHFpIz94B0dTDzVtDwD2lTGUwMMpTA7uj695eD0Dtt4QEj6VogVWtgnLxERkWs4GHuQqZumsubEGpu4t4s3L9Z+kR5Ve+DkoPd2hZX+zYtIluw9nT7AcMsR2wGGd5UuysSuNaheUgMMpRC7FAXLR8O/P9jGXYpAq9ehQX9wdLZPbiIiIle4lHKJGf/O4PuI70kzMr4AcjA50L1Kd16q/RJF3YraL0HJE1QsEJEbSkwx88HK/Xz+10HSLBl910VcnRjSoSq9G5bVAEMpvMypsPEzCHsLUi7ZHrurF7QdC0XUliMiInmD2WJmwYEFfLD1A84lnbM5Vr94fYbVH0ZVv6p2yk7yGhULROS6Vu2N5o2FOzl2LtEmfl/NEvzvgWoEebvZKTORPODgavh9KJzZYxsvXhM6vQ1l7rFPXiIiItcQHhXOpI2TiDgXYRMv6VmSwfUH07ZMW0wmfQEkGVQsEJGrRF9MYtxvu/lt+ymbeHBRd8Z3qUGrkEA7ZSaSB8Qeh2WjYNcvtnG3otDmDaj7BDg42iU1ERGRK52OP827m9/l98O/28Tdndx5qsZT9K3eFzcnfQEkV1OxQESsLBaD7zceZfIfe7h0xQDDp5ulDzD0cNGvDSmk0pJh3Yfw9zuQmnm7UBPU7Qut/weexeyWnoiISGZJaUnM3DWTr3Z8RZI5yeZYp/KdGFh3IMU9i9spO8kP9K5fRACIOHWREb/sYOvRCzbx2qWL8la3moSW8LZPYiJ5wb5l8McwOHfQNh5cDzpNheA69slLRETkCoZh8OeRP3ln8zucjLfd5jrUL5TXG77O3YF32yk7yU9ULBAp5BJS0nh/xX6++PsQ5swDDN2cGNYhhEcblMFBAwylsDp3CP54HfbZLt3Ewx/ajYW7HgUHB/vkJiIicoW95/YyedNkNp3eZBP3c/Pj1Tqv8mClB3Ew6e+WZI2KBSKFWNieaEYt2MmJC7YDDO+vVYL/3V+NQA0wlMIqJQHWvgdr3gNzckbc5JC+DWLL18G9qJ2SExERsXU+6Twfbf2IefvnYTEs1riTyYneob159q5nKeJSxI4ZSn6kYoFIIRR1MYlxi3azeIftAMPSfu68+WANWlbVAEMppAwD9vwGf4yA2KO2x8o2gY5ToHgN++QmIiJyhVRLKnP3zuXjbR9z6YotfJsFN2NI/SGU9ylvp+wkv1OxQKQQMVsMvttwhKl/7OVScsYAQycHE/2bV+Dl1pVxd9EUdymkzu5P3woxcqVtvEgJaD8eajwE2lJKRETyiH9O/sPkjZOJjI20iZfzLseQ+kNoXqq5nTKTgkLFApFCYtfJWEb8spN/j12widct68vErjWpWlxL06SQSr4Ef02Ff6aDJTUj7uAEjV6E5kPAVdeHiIjkDccuHmPq5qmEHQuziXs5e/HcXc/xaMijODs62yk7KUhULBAp4OKT03hv+T6+WnvYZoCht5sTwzuG0rN+aQ0wlMLJMGDnfFg2Ci7ZtuRQoVV6y0FAFfvkJiIicoX41Hg+3/453+z+htRMxW0TJrpW7srLd7+Mv7u/HTOUgkbFApECbPnuKEb/uuuqAYYP1i7JqPuqEVDE1U6ZidhZ1C5YMgSOrLWN+5SGDm9ByP1qORARkTzBYlj47eBvvLflPc4knrE5dnfg3QxrMIzqxarbKTspyFQsECmATscmMebXXfyx67RNvGwxD958sAbNqwTYKTMRO0u8AKvego2fg2HOiDu6QpMB0HQguHjYLT0REZHMdpzZwaSNk9h+drtNPNAjkEF1B9GxfEdMKm5LLsmTxYJDhw7x8ccfs2XLFmJiYihevDgdO3akf//+eHp6Zukx+vTpw8aNG296XnBwMCtX2g6z2rFjB9OnT2fnzp1cvHiR0qVL8+CDD9KvXz+cndX/I3mX2WIw+5/DvL1sH3GZBhg6O5p4tnlFXmpdCTdnDTCUQshigX+/hz9HQ8JZ22NVOkKHieBXwT65iYiIXOFMwhneC3+PXyN/tYm7OLjwRI0neLLGk3g4q7gtuSvPFQu2b99O3759SUhI4K677qJmzZqEh4czY8YMVq5cyffff0+RIjcfNNW4cWOCgoKue3zFihUkJCRQo0aNq+KvvPIKFouFevXq4e3tzaZNm3j77bdZu3Ytn3/+uQoGkiftPBHLiF92sP14rE28fjlfJnStSZUgDWiTQupEeHrLwYnNtnHf8tBxMlS51z55iYiIXCHFnMLs3bP5bPtnJKQl2BxrV7Ydg+oNItgr2E7ZSWGTp4oFqampvPrqqyQkJDBp0iS6du0KQFJSEgMHDmTlypW88847jBkz5qaP9fzzz1/32E8//cSiRYuoXLkykyZNssYvXLjAkCFDMJlMfPnllzRu3Nga79+/P//88w9ff/01zzzzzO29UJEcFJ+cxrt/7mPm2kNkml+Ij7szIzqF0L2uBhhKIRUfAyvHwZZZQKaLw8kdmg+GRi+Bs5vd0hMREbnMMAxWHVvF1M1TOXbpmM2xyr6VGV5/OA1KNLBPclJoOdg7gcwWL17MiRMnaNKkibVQAODm5sbEiRPx8PBg3rx5XLx4MdvPsW/fPt58801cXV1577338PDIWL7z7bffEh8fT9euXa2FAoCiRYvy1ltvATBr1iwsFku2n18kJy3bdZq2767myzW2hYKudwezYlALHqlfRoUCKXwsZtj0JXxUF7Z8jU2hoFoXeGlTerFAhQIREckDIi9E8tzy53gl7BWbQoGPqw+jGo5i7v1zVSgQu8hTKwvCwtL3Cm3fvv1Vx3x9fWnYsCFhYWGsWbOGTp06Zes5xo4dS3JyMoMHD6ZSpUo2x1atWnXd569YsSJVqlRh37597Nixg7vuuitbzy+SE05eSGTMr7tYtjvKJl6umAfju9SkaWVtmyOF1NENsGQwnLYdBIV/Veg0BSq0tEtaIiIiV4pNjmXGvzP4Yc8PmDMN3XU0OdKjag9erP0iPq4+dsxQCrs8VSzYt28fAFWrVr3m8cqVKxMWFsbevXuzVSz49ddf2bx5MxUrVqRfv35XHd+/f/9Nn3/fvn3s3btXxQKxizSzhVn/HOHdZXuJT8n4o+LsaOL5lpV4oWVFDTCUwulSFCwfkz7EMDOXItByODR8Fhw1b0ZEROzPbDEzf/98Ptr6EeeTz9sca1iiIcPqD6Oyb2U7ZSeSIU8VC6Ki0r8lvd5gwoCA9O3eoqOjb/mxzWYzH3zwAQCvvPLKVUMKL1y4QFJSEg4ODgQGBub489+IYRiYzeabn2gHmfPKqzkWFtuPxzJq4S52nbRtw2lQzpc3H6xOpUAvQP+e8ipdS7nEnIpp8xeYVk/ClHzJ5pCl5iMYbUZDkeL/naufe0Gh60kkZ+hauvO2RG1h8ubJ7Du/zyYe7BXMoLqDaFWqFSaTSf8+8pn8di0ZhnHzk8hjxYLExEQgfUbBtVyOJyQkXPP4jSxdupRjx45RpUoV7r336snXN3vu233+G0lMTGTbtm05+pi5YceOHfZOoVBKSLXww844/jiQQOZpGV4uJvrWKkKrci7EnTzAtpN2S1Fuka6lnOF1ditldn6I+6XDNvEE74ocrfEK8cVqQuRp4LRd8pM7Q9eTSM7QtZS7zqacZe7puWy8aLu1u6uDKw8EPED7Yu1xiXHh35h/7ZSh5JSCdC3lqWKBo6NjloYHZrUSktnMmTOB9F0STKarB745OGR91mN2nl/kVhmGwcaTyXyx9SLnEm2vi5Zl3Xj8Lm98XPPUjFKRO8I58Qylds/A72SYTTzN2YuTIU9xpuz9YFI7joiI2F+yJZklZ5aw5OwSUo1Um2ONizame1B3fJ197ZSdyI3lqWKBp6cnFy5cIDk5+ZrHk5KSAGx2MMiKo0ePsn37dnx8fGjbtu11nxu47nPfzvPfjLu7+3XnJNib2Wy2Vsdq1qyJo6PegN8JJy8kMmbRblbsuWATL+/vwZsPVqdRhWL2SUyyTddSDkhLxrThE0x/v40pNWOFl4EJ4+4+mFqNItjTH+0+XfDpehLJGbqWco9hGCw7soxp4dM4nWC7wq16seoMrTeUuwI0A62gyG/X0t69e60r628kTxULAgMDuXDhAmfOnKFEiRJXHb88K+B6MwWu548//gCgQ4cOuLi4XPMcLy8vvLy8iIuLIyYmhmLFrv4wlt3nvxmTyZTn/4OC9JUf+SHP/CzNbOHrdYd59899JGQaYOji6MALrSryfMuKuDrp30F+p2spG/Yvh9+HwrlI23hwXUydpmIKrmufvMTudD2J5AxdSzknIiaCSRsnER4dbhMv5laMV+u+SueKnXEwaXVoQZUfrqVrrbS/ljxVLKhatSr79u1j//791KpV66rjBw4csJ53K1avXg1Ax44db3helSpVCA8PZ//+/dcsFmT3+UWyYtuxC4z4eQe7T9kOMLyngh8TutakYoCXnTITsaPzh+GPEbB3sW3coxi0HQu1e8MttJGJiIjklnNJ5/hw64fM3zcfg4y2ZScHJ/pU60P/mv3xctH7Ock/8lSxoGXLlixatIhly5bx0EMP2Rw7f/48GzZswNXVlUaNGmX5MdPS0ti1axeOjo7Url37ps8fHh7OsmXLuOeee2yORUZGsm/fPvz9/alRo0aWn1/kZi4mpfLO0r18s/4Imcdh+Ho4M+q+anSrE5zl6p9IgZGaCGvegzXTwJypPczkAPWfgVavg7t6PEVExP5SLanM2TOHT7Z9wqVU2515WpZqyeD6gynrXdZO2YlkX54qFrRt25bg4GBWrVrFnDlz6NmzJ5A+K2DkyJEkJCTQp08f/Pz8rPdJTU3l6NGjAJQpU+aqLREPHDhAYmIiVatWxd3d/YbP361bNz777DPmzp1Ls2bNaNWqFZC+reKIESMAePrpp3FyylM/NsmnDMPg952nGbtoF1EXbWdldK9bitc7heLnee22GZECyzBgz2JY+jpcOGp7rExj6DQFite0T24iIiJXWHtiLZM3TeZQ7CGbeHmf8gyrP4wmwU3slJnI7ctTn3rd3NyYPHkyTz/9NKNHj2bu3LmUKlWKrVu3Eh0dTY0aNRg4cKDNfaKioujUqRMAK1asoFSpUjbHjx8/DkBAQMBNnz8gIIBx48YxePBgnn/+eerUqYOfnx+bNm3iwoULtGrVij59+uTQq5XC7Ni5BEb/uouVe6Jt4hUDPJnQtSb3aIChFEZn98PvwyByhW3cqzi0Hw81HwatshERkTzgyMUjvL3pbVYdX2UTL+JchOdrP0/PkJ44Ozhf+84i+USeKhYA1K9fn59++omPPvqIjRs3cuDAAUqVKkWPHj144oknrLsWZNW5c+cA8Pb2ztL59913H0FBQXz66ads27aNtLQ0SpcuzfPPP8+jjz6qVQVyW1LNFr5ac4j3lu8nMTXTAEMnB15uVYn+LSpogKEUPslx8NdU+OdjsGTaVsrBCe55HloMA9ci9stPRETkP3EpcXy24zNm755NmiXNGjdh4qEqD/Hy3S/j5+Z3g0cQyT/y5CffKlWq8MEHH2Tp3FKlSrF3797rHu/Rowc9evS4peevV68e9erVu6X7iNxM+NHzjPh5B3tO2/ayNalUjPFdalLe/9YKYSL5nmHAzvmw7A24dNL2WIWW0HEKBGigrIiI2J/FsLDwwELeD3+fmKQYm2N1AuswvMFwQouF2ik7kdyRJ4sFIgVJbGIqU5fu4bsNR20GGBbzdGHU/aF0qa0BhlIIRe2GJUPgyBrbuHcp6DARQjur5UBERPKEf8/8y6QNk9gZs9MmXtyzOIPqDuLecvfqvZwUSCoWiOQSwzBYvOMUYxft5swl2wGGPeuXZnjHEIp6aIChFDKJF2DVJNj4GRgZrTg4ukCTAdD0NXDxsFt6IiIil0UnRDNtyzR+O/ibTdzV0ZUnazzJEzWewN3pxgPURfIzFQtEcsGxcwmMWrCT1fvO2MQrB3oxoWtNGpRXL5sUMhYL/PsDLB8N8bbXBVU6wL0ToVhF++QmIiKSSbI5mW92fcPnOz4nMS3R5ti95e7ltbqvUdKrpJ2yE7lzVCwQyUGpZgtf/H2I91fsIynVYo27OjnwSpvKPNOsAi5ODnbMUMQOTm5Lbzk4vtE27lseOkyCqh3skpaIiEhmhmGw8thK3t70Nsfjjtscq+pbleENhlOvuOaaSeGhYoFIDtly5Bwjft7J3ijbAYbNKvvz5oM1KKcBhlLYJJyDlW/C5plApoEdTu7QfBA0ehmc3eyWnoiIyGUHzh9g0qZJbDi1wSZe1LUoL9/9Mg9VfghHB+1YJYWLigUityk2IZXJS/fw/YajNnF/LxfeuL8ane8qqaE3UrhYzBA+C1aMg8TztseqPQjtJ0DR0vbJTUREJJPY5Fg+3vYxc/fOxZxplo6jyZFeIb147q7n8HH1sWOGIvajYoFINhmGwa//nuTN3yI4G2c7wLBXgzIM7xCCj4eznbITsZNjG2HJYDj1r23cv0r6VogVW9knLxERkUzSLGnM2zePj7Z9RGxyrM2xxiUbM7T+UCoW1SwdKdyyVCxo06bNLT+wyWRi+fLlt3w/kfzgSEw8oxbs5O/9Z23iVYOKMKFrDeqV0wBDKWTiomH5GNj2nW3cxQtaDocGz4KTdv8QERH723hqI5M2TWL/+f028dJFSjOk3hBalm6pVaEiZLFYcOLECUwmE0bmTeJvQheYFEQpaRY+//sgH6zYT3JaxgBDN2cHBrSpwtPNyuPsqAGGUoiY02DT5xA2EZIv2h6r9Qi0GwdFitsnNxERkUxOxJ3gnc3v8OeRP23iHk4e9K/Vnz7V+uDiqMK2yGVZKhaULKmtQUQ2HT7HiJ93sD86zibevEoA4x+sQZli2hteCplDf8PvQyF6t208qAZ0mgplG9snLxERkUwSUhP4cueXfL3za1IsKTbHHqz4IAPqDCDAI8BO2YnkXVkqFqxcuTK38xDJsy4kpDDp9z3M2XTMJh5QxJX/3V+N+2uV0EoaKVxiT8Cfb8DO+bZxNx9o/QbUfQIcNRJHRETsyzAMlhxawrtb3iU6IdrmWC3/WgxvMJyaATXtlJ1I3qd3cyLXYRgGC7ed5M3fdhMTn1GFNpmgd8MyDLk3BB93DTCUQiQtGdZPh9VTITU+0wET1OkDbUaDp7/d0hMREblsV8wuJm+czNborTbxAPcABtYdyH0V7sPBpNZRkRvJUrFgwYIF2XrwLl26ZOt+IvZ26Gw8byzYyZoDtgMMQ4oXYWK3mtQp42unzETs5MBy+H0YxBywjZesA53ehlJ17ZOXiIhIJmcTz/Lh1g/5Zf8vGGTMW3N2cKZv9b48XfNpPJ097ZihSP6RpWLB8OHDb3mZtclkUrFA8p3kNDOfrT7Ih2EHSLligOHAtlV4sqkGGEohc/4wLB0Je36zjXsUg7ZjoPZj4KBrQkRE7CvVnMr3e75nxr8ziEu1nS/VqnQrhtQbQmnv0nbKTiR/ynIbwq3shCCSH204GMPIBTs5cMUAw1ZVAxj3YA1K+2mAoRQiqYmw9n1YMw3SkjLiJgeo/zS0GgHuWmEjIiL299fxv5i6aSqHLx62iVf0qcjQBkNpXFIDd0WyI0vFgrfeeiu38xCxm/PxKbz1ewRzNx+3iQcWcWVM5+p0rFFcAwyl8DAM2LsE/hgOF47aHivTKH2Xg+IaBiUiIvZ3KPYQUzdN5e8Tf9vEi7gU4cXaL9Kjag+cHTRfSiS7slQs6Nq1a27nIXLHGYbBz+EnmLAkgnNXDDDsc09ZBt9bFW83/YGRQuTsAfhjWPp8gsy8gqDdm1CrR/oFIiIiYkeXUi7x6b+f8l3Ed6QZada4g8mB7lW682LtF/F10+o3kduV47shWCwWzpw5w8qVK+nVq1dOP7xIjjh4Jo5RC3ayLjLGJh5awpu3utWkdumi9klMxB6S4+Dvt2HdR2BJzYg7OEHD56DFMHDztl9+IiIigMWwsODAAt4Pf59zSedsjtULqsfwBsOp6lfVTtmJFDzZKhakpKQwbtw4Vq5cSWxsLBaL5apzTCaTigWS5ySnmflkVSTTwyJJMWf8d+vu7Mig9lXo17gcThpgKIWFYcCun2HpKLh00vZY+RbQcQoEhtgnNxERkUy2Rm9l0sZJ7I7ZbRMv6VmSQfUG0a5sO7WNiuSwbBULPvvsM+bNm5fTuYjkqn8iYxi5YAcHz8TbxNuGBjKmc3VK+WqAoRQiUbvh96Fw2LbPE+9ScO8EqPagWg5ERMTuTsefZtqWaSw5tMQm7uboxlM1n6Jf9X64ObnZKTuRgi1bxYKlS5diMpkoUaIExYsXZ+vWrbRp04bU1FTWrFmDxWLh/fffz+lcRbLlXHwKExZHMD/cdoBhcW83xnSuzr3Vg1SJlsIjKRZWTYYNM8AwZ8QdXaDxK9DsNXDR/tMiImJfSWlJzNo1iy93fkliWqLNsY7lO/Ja3dco7lncTtmJFA7ZKhacPJm+XPXtt9/Gx8eH++67jy5dutC2bVs+++wz3n33XcLCwmjfvn2OJityKwzDYN6W40xcEsH5hIw+bJMJ+jYqx6D2VSiiAYZSWFgssP1H+PN/EB9te6xye+gwCYpVtE9uIiIi/zEMg+VHl/PO5nc4EXfC5lioXyjDGwynTlAdO2UnUrhkq1iQlpY+dTQwMJBSpUrh7e3Njh07aNu2Le3bt+fdd99l48aNOZqoyK04EB3HyF92sOGQ7fCbGsHeTOxak1qlitonMRF7OPUvLBkCxzbYxn3LQYfJULWDXdISERHJbO+5vUzZNIWNp20/R/i5+fHK3a/QpVIXHB0c7ZSdSOGTrWKBv78/J0+eZN26dfTo0YPQ0FBWrFjBSy+9xLZt2wCIiYm58YOI5IKkVDPTV0XyyaoDpJoNa9zDxZFB7avSt1FZDTCUwiPhHKwcD5u/AjKuB5zcodkgaPwyOKvPU0RE7OtC0gU+2vYRP+37CYuRMYDayeTEo6GP8uxdz+Ltol15RO60bBULmjRpwty5cxkzZgx169alQYMGfPjhhzRu3Jj4+HhMJhNBQUE5navIDa07cJaRC3Zy6KztAMP21YIY07k6JYu62ykzkTvMYobwb2DFOEi0XV1DaOf0AYZFy9gnNxERkf+kWdKYu3cuH2/7mIspF22ONQ1uytD6QynvU95O2YlItr5iffHFFylVqhQODg6ULl2aLl264OrqyqVLl7BYLBiGwUMPPZTTuYpcU0xcMq/9uI1Hv9hgUygo4ePGp33q8tnj9VQokFuybNky6tevj4eHB+XLl+ftt9/GMIwb3mfx4sU0aNAAd3d3SpUqxYABA4iPT//v8fDhwzg5OVGvXj3q1auHk5MTJpPJ+s8TTzxhfZx//vmHVq1a4eHhQWBgIE8++SRRUVE2z3Xx4kUGDx5MxYoV8fT0pGbNmkyfPj19G9tjm+Dz1vDbq7aFAv8q0OcXeGS2CgUiImJ360+tp/ui7ry18S2bQkFZ77J83OZjPmn7iQoFInaWrZUFQUFBLFiwgOXLl+Pi4kJwcDAzZsxg+vTpxMfH0759e5555pmczlXEhsVi8NOWY7z1+x4uZBpg6GCCfo3L81r7Kni5Zus/cSnE1q9fz/33388jjzzCm2++yZo1axg6dChpaWkMHz78mvdZtGgRXbp04fHHH2fSpEns3r2bESNGcObMGb7//ntKlCjBmjVr2L9/PwCVK1fG0dGRjz/+mB9//JGnnnoKgI0bN9KyZUtCQ0OZNWsW7u7uvP322zRq1IitW7fi4+ODYRg88sgjbNq0ibFjxxISEsKKFSt4+eWXiVkzizeq7LFNzsULWgyDhs+Bk0uu/uxERERu5tilY7yz+R1WHF1hE/d09uS5Ws/RO7Q3zo4aQC2SF2T7k5SXlxddunSx3m7UqBGNGjXKiZxEbmp/1CVG/rKTjYdtl1jXDPbhrW41qRHsY6fMJL8bPXo0d999N7NnzwagQ4cOpKamMnHiRAYMGIC7+9WrVAYOHMjDDz/MzJkzAWjdujVms5kPPviAhIQEPDw8uOeee3BzS58PULt2bbZt28aPP/7IxIkTadq0KQATJkzAx8eHsLAwfH19rY8VEhLClClTmDBhAlu3buWPP/5g7ty5dO/eHcxptPHcz/kV7kyZv5FRw4tkbAVaswe0GwfeJXL7xyYiInJDCakJfL7jc2btmkWqJdMuVZjoUqkLr9R5BX93fztmKCJXyvakt7i4OKZPn86xY8essVmzZvH+++8TFxeXI8mJXCkp1czbS/fS6YO/bQoFni6OjHmgGgtebKJCgWRbcnIyq1atomvXrjbxhx9+mEuXLrFmzZqr7rN161YiIyN5+eWXbeIDBgwgMjISDw+Pq+5jGAYvvvgi1apVY+DAgdZ4REQETZs2tRYKADw8PGjYsCGLFy+2xvr370+bNm3g8Br4tDn8MYwQ3zTiUiA63oCgGtBvCTz0uQoFYnf2bOvZsWMHHTt2xM/PjxIlStC3b9+r2noy+/DDDylXrlyOvG6RnJZfryWLYWFR5CLu/+V+vtjxhU2h4K6Au/jhvh8Y12ScCgUieVC2VhZcuHCBxx9/nP3791OhQgVKly4NwKZNm1ixYgUrV65k9uzZeHtraqnknL/3n2HUgp0ciUmwiXeoXpzRnatRwkdzCeT2HDx4kJSUFKpUqWITr1SpEgB79+6lXbt2Nscu7wDj5ubG/fffz4oVK3B3d+fxxx9n8uTJuLq6XvU8c+fOZcOGDYSFheHomLEFlL+/P0eOHLnq/MjISA4ePAhAnTp1+HTqaFg2BHbOs56zYG8aAZ4OBDw0FRo8DY5qwRH7s2dbT1RUFK1bt6Z06dJ8/fXXJCYmMmzYMDp27MiGDRtwdrZd5jxnzhxee+01goODc/eHIpIN+fVa2nl2J29tfIvtZ7bbnBPoHsjAegO5r/x9GavhRCTPyda7yc8//5x9+/ZhMpk4fPiwNZ6cnIxhGOzbt48vv/zS5hszkew6cymZ8Yt3s3DbSZt4cFF3xnauTttq2nlDckZsbCzAVYXOIkWKAOmDBa905swZALp27cqjjz7KoEGD2LRpE6NHjyY6Oprvv//+qvu88847NGnShJYtW9rEn3zySZ555hleffVVhg4dioODA9OmTWP37t2kpqZCWgqsnw6rp0BqxjDP99cns+qwmXcmjsWh0XO39TMQyUn2bOtZuHAhZ8+eZf369VSsWBGAokWL0qFDB9atW0eLFi0AiI6O5o033uCzzz7Dz88v138mItmR364lXz9fLiRfoNfiXjY5uTi40Ld6X56u+TQezlevvBORvCVbbQjLly/HZDLx1FNP8dxzGW9MP//8c5577jkMw2D58uU5lqQUThaLwQ8bj9LmnVU2hQJHBxPPNCvPsoHNVSiQHGWxWG543MHh6l+ZKSkpQHqxYPLkybRq1YqhQ4cyevRofvjhB/bt22dz/r///kt4eDhDhgy56rGefvpp3nnnHb744guCg4MpWbIkhw4don///ni4u8InjWD5aJtCwUd7Axm4LIUePXowcPgb2XnZIrnC3m09SUlJgG3xr1ixYgDExMRYYxMnTmTp0qXMnz+fBx54IBuvVCR35bdr6cVpL+JY3ZGEVNuVoG3LtGVhl4W8UucVFQpE8olsFQsu9yh17979qmOXhx6ePHnyqmMiWbUv6hI9Pv2H13/ewcWkNGv8rtJF+fWlJoy8rxqe2ulAcpiPT/q8i0uXLtnEL68ouHw8s8urDu6//36beIcOHYD0N2yZrVixAl9fXzp16nTNHF577TXOnz9PREQEUVFRzP10Khe2LcLPKQliDljPs7j6MuhAI16ec4BevXrx3XffaSmn5ClZaeu50pVtPe7u7vj5+fHqq6+SnJx8zee53Nbz3nvv2bT19OjRgxIlSvDSSy9x6tQpDh06xJAhQyhRogRt27a1nvfcc8+xf/9+unXrdrsvWSRX5IdryTAM6jxYh9Apoaz2XU2aJeO9W6Wilfii/RdMazWNUkVK3dbPQkTurGx92nJxcSE5OZnDhw9TtmxZm2MHDqS/mb2yf0kkKxJTzHy4cj+f/XWQNEvG0B4vVyeGdqhK74ZlcXTQByLJHRUrVsTR0dH6e+yyy7dDQ0Ovuk/lypUBrnrzlZqaPsDpyqWha9as4cEHH7zm78jNmzdz9OhRunXrRkjFsrD2A1jzLuF7zlKnxH9v3EwOpNzVl15fR/Lzwt8YNGgQU6dOVaFA8hx7t/UUL16cGTNm0LNnT+bOnQuAr68vYWFhNjmFhIRk/0WK3AF5/Vo6eOEgUzZNYe3JtTb3czA5MKLhCLpX6Y6Tg77gEcmPsrWyoGbNmhiGwdixY1m8eDGRkZHs2bOHefPmMXbsWEwmEzVr1szpXKWAW73vDPe+9xfTV0XaFAruq1mCFYNa8HijcioUSK5yc3OjefPm/PzzzzYTpufPn4+Pjw8NGjS46j7NmzfH09OTH374wSb+66+/4uTkZLOlbGxsLEePHqVx48bXfP5Vq1bRu3dvLmycCx83hFUT+XNvHLvOWOhS1QlKN4T+q+g3N5pffl3MtGnTePvtt1UokDzJ3m0933//PV27dqVz584sXbqUhQsXUqNGDdq3b8+ePXtu45WJ3Fl59Vpq174dg+YO4qFfH7IpFDiYHCjvU55Aj0B6hfRSoUAkH8vW1fvEE0+wdu1aTp06xeDBg22OGYaByWSiX79+OZGfFALRl5J487cIFv179QDDN7tUp3WI5hLInTNq1Cjatm1Ljx49ePLJJ1m3bh1Tp05l0qRJeHh4cPHiRXbv3k3FihUJCAjAy8uLcePGMWjQIHx9fenWrRvr1q1j8uTJDBgwgICAAOtjHz9+HLj2CgWAxzo15a2xFnr0epQhjV05GmvhtWVJNCnnxmP/+xLu7sXCX3/lhx9+oHPnztxzzz2sX7/e5jHuvvvua+7AIHKn5XRbz+uvv87WrVttlmLfqK1nzJgxNG7cmDlz5lhj7dq1IzQ0lFGjRjFv3ryr7iOSF+W1a8lsMXOp3CWeavMUX0z9gjIvlbGe27B4Q4Y2GMrElRNZZVqVjVcrInlJtlYWNG3alJEjR+Lo6IhhGDb/ODk5MWzYMJo1a5bTucpN2HP/3cwWLlyIyWRi1apVNvETJ07w6KOP4ufnh7e3N+3b38u4mYto885qm0KBo4OJZ5tX4M/XmqtQIHdc69atmT9/Pnv37qVLly589913TJ06laFDhwIQHh5Oo0aNWLx4sfU+r732Gl999RWrV6+mU6dOfPXVV4wdO5YpU6akn2Ax42BJwcWSPiSqmLsJUhPBYk4/nhIPy8dSfP4DLOvlTLIZus1NYMzqZJ7oWJ/fNx7Asc6jYDIxf/58IH3lQqNGja7659SpU3fuhyVyA/Zu6zly5MhVq3jc3d2pV68eu3btusVXI2I/eela2hK1hZ6LezJp6yRcy7mSfCL98YO9gpnWchqft/+cKr5VrnoMEcmfsr0uqE+fPrRt25alS5dy5MgRDMOgXLlytG/fnpIlS+ZkjpIF9tx/N7OYmBieffbZq+KxsbE0bdqU+Ph4xo8fj2uxkoz/6GuW9+9OUK+JuJasCkDt0kWZ2LUm1Up6X/UYIndK165dr5o6fVnLli2vWYR74oknrl1AS02E/X9iWjuNnifC6TnaGxZ1gvC60ORVKN8c5vSGI+nTrOuWdGR1P8/0eMcpEGj7JvCbb77hm2++ue3XKJLbMrf1DB482Nouk9W2nsw7E2SnrSckJIS1a9daVzxC+lT38PDw667uEcmL8sK1FPZXGINXDWbpkaUAWFIsJB5JxKOkB6/c/QqPV38cV0etahMpaG6riahEiRJqN8gj7Ln/bmYvvPDCNavSX331FYcPH2Z52Co2Jgby5d+HMJo8g3v0Gc6v/ILKT09jWIcQHm1QBgfNJZCCIjURVoyD9dOvPnZiC8ztAw2fg66fwGctISEGvIPh3glQrQtoFoHkc/Zs63nzzTfp0qULPXr04KmnniI5OZlp06Zx4sSJaw53E8nL7HUtJaYl0viJxsx4bQZ7h+zFt7kvRprB2aVnsVyw8P2P39Op1rV39xGR/C9bbQiXRURE8NZbb/HYY49x3333AfDtt9+SmJiYI8lJ1th7/93LfvzxR/7888+MpdeZREREUMSnKKM3mPl0dcZOB25la5F8IoL5T9TisXvKqlAgBYfFDPv/vHahILMNM+DYBmjwLDQbBC9tgupdVSiQAiE32nrMFjOpRirJpC9/dvJyIiktCfPltp7/dO7cmSVLlnDy5Em6du3KM888g5eXF5s2beKee+65Qz8BkZxxp68lwzD44/AfPLjgQdb4rqHswLKkXUjj6IdHiZoVRd3SdQnfHE6nVioUiBRkJuNmTe3XMW3aND7//HPrrAKTycTmzZupW7cuNWrUYNasWXh6euZ0vgVKRESE9Rv821kSGRERQbVq1Zg/f77NPtHnz5/Hz8+PDz/8kJdeesnmPjNnzuTJJ59k06ZNjBkzhhUrVuDu7s7jjz/O5MmTrQPSzGazda/evXv30rt3b8LCwq7aVicqKorq1aszbdo0SpcuTatWraznRV1MotNjLxC++BtKvfwdjm5eAJT2c6f47rnMm/UpW7ZsoU6dOtn+GYjkOamJ8HUnOBF+83OD60LfX8HFK/fzEsnHktKSWHNiDV/u/JKdZ3da4zX9a/JkjSdpGtwUNyc3O2Yokj/c6Fp6ovoT1A6szVNLn+LQxUPWY8XcijGgzgAerPQgDqbb+r5RpMDJ/Jmpdu3aODo62jehm8jq59BsXemLFi3i008/xWKxWJeoA0RGRgKwa9cuvvzyy+w8tGTD7e6/W716dZYsWcLw4cP59NNPrzu48Hr77wL079+fRo0a0adPH2vMbDGY/c9h2r6zmlOB9cFk4uyCiVhijtKvXgBPBp1g+cIfAaxDFUUKjORLWSsUQHpLQkpC7uYjks8lpSXxQfgHDFw10ObDDcCOszsYuGogH4R/QFJakp0yFMkfbnYtvbb6Nb7c+SUz2s3A19UXJwcn+lXvx29df6Nr5a4qFIgUItm62r/99ltMJhM9evRgyZIl1niNGjXo168fhmHw+++/51iScmP23n931qxZ/P3333z22Wc28dELd/LGwl1cSk7Dxb8MgQ/9D4dL0Rz74gXGdm/Ixx++z7hx4wCu2fYgkq8lXbjF82NzJQ2RgsBsMbPmxBpmR8y+4XmzI2az5sSaq1oSRCRdVq+l7yK+Y1v0NobWH8ovnX9hUL1BeGn1m0ihk60Bh5c/SPbt29fmg6iDgwOPPvooX3/9tbbvuoPsuf/u8ePHGTBgAO+++y4BAQFcTEhi9rqDAOyPuohbGTMmB0e83ZyY+FpfHvl+JEePHgGgfPnyfPXVVwD4+fll+/WL5EluRW/x/KuvUxFJl2pJ5cudWVux+NXOr6gdUJtn/nwGs6GigchljiZHPm//eZavpW8jvuWre79Sa49IIZatYsHlLVsuXbqEl5dtlfFykeByz7vkPnvuv7t8+XJiY2N56qmnrtpKMfrHUTh6B/Lip3/Qr5YX4f/8ifnuPpQvX956Tnh4OH5+fpQrV+4WXrFIPuDkBsF1sj6zwLVI7uckkk/Fp8ZftVz6enac3UGSOQkXRxd2x+zO5cxE8o9qxaqRlJZ0S9dSfGq8igUihVi22hCqV68OwFtvvcX27dut8W3btjFp0iRMJpP2ML6DMu+/m3leZVb3383sVvfffeCBB/g9bA3dxn5D8cenUfzxafjd+yIAlboO5PNv5/J+z7sxJ8Ty9NNPExYWZr3v6dOn+eGHH+jcubO1ACWS7xkG/PU2rP8Y7nkha/dp8io4XL3lqIiku5hy9eydG7mQfAEvZy2ZFsnMy9mL88nnb+k+l1Iu3fwkESmwsrWy4JlnnmHz5s1s376dV155xfpBr1evXtZzMg+6k9xnj/13zRaDRXsu8nZYHHHJfriWSG8lcPhvuNTHL9xH+7YtAKhbty5NmjTh+eefZ+rUqTg5OTFy5EicnJwYO3bsnfgRieS+1ERY+BLsnAcexaD/Kmj4XPr2iNdzzwtQuR04ZuvXsUih4O3iffOTMgn0COSl2i8RlxqXSxmJ5D9ezl4EeQTd0n2KuGjVm0hhlq13p82bN+eNN97grbfesi5bv8zV1ZWXXnqJNm3a5EiCkjWX998dPXo0Xbp0ITg4mKlTpzJo0CAgfbl/q1atmDlzJv369QPS99/19fXlnXfe4YsvvqBkyZKMHTuWYcOGAenFgBQzJFnSi0EO7t4kpZpxdnRgX9Qlhs3fzvbjtkPZ6pfzpXODWjz+Pbg4ZWwZYjKZmD9/PgMHDuTZZ5/FMAxatWrFzz//TJkyZe7AT0gkl108CT/0glPb0m8nxMCvr8Ajs6FsE1j7XvquB5eVqgeNB6QXCpzdr/WIIvIfT2dPavjXyNLy6Zr+NfF28SYwKPAOZCaSvySlJd3SteTprG3QRQozk5F53fotioqKYunSpRw+fBhHR0fKli1L+/btCQzUH+isyOr+lvaQlGpm1d5oPlkVyb+ZCgK1Sxfl6WblubuML49/uYHIM+lbHvq4OzOiUwjd65bGwUEtBVLIHN8Mcx6FuKiMWPkW0P1r8PADcxqGJRVLYiwkXsDB0w+Ta5H01gOtKBC5qcTURMKOhTHs72E3PXday2m0Kt0KR4e8vce1iD2YLWbCjoUxcNXAm56ra0kk68xmM9u2bQOgdu3aODrm7esmq59Db+tdalBQEI8//vg1jy1btoz27dvfzsOLnSSlmpm6dC9frjl01bFtxy7w0vdbeaJJOWY92YDOH62lRZUARt4Xir+XhlpKIfTvj/Dry2DONCy0QX+4dyI4/jeHwNEJCyb2nTiPo6MjFf2L5fk/IiJ5ybQt0+hXox+9Q3vzXcR31z2vT2gfmgY31YcbketwdHCkaXBT+oT2ueH2ibqWRARusViwbds2/v33X9zd3alXrx4VKlS46pxTp04xduxYVq9eTURERI4lKneG2WKwam/0NQsFmc1ce5i7Sxdl/nONKB+gIVJSCFnMsHwMrPsgI+bgBJ3ehnpPXPMuCQkJdyY3kQIk7GgYP+z9gfWn1jOj3QzuDrybWbtmsePsDus5tfxr8USNJ2ga3FST20Vuws3JjVfqvEKdoDp8tfMrXUsicl1ZKhakpKQwePBg/vzzT2vM0dGRl19+mWeffdYamzVrFu+99x6JiYmabp9PpZotfLIqMkvnfrX2MD88c08uZySSByVdhPlPw/6lGTF3v/T5BOWa2i8vkQLmXNI5xvwzBoBDFw8xZt0YPm7zMS1KteBi8kUuJV+iqHtRPJ09cXZw1regIlnk5uRGq9KtaBrcVNeSiFxXlooFs2bNYtmyZTaxtLQ03n//ferWrUtISAgDBgxg3bp11uNFimh6an4Ul5RmM6PgRrYdu0B8chruLvqDIoVITGT6IMOzezNigdWh1/fgW85uaYkUNIZhMH79eM4lnQPA1dGV4Q2H4+zojIPZgZijMTg6OlK0YlG19Yhkg6ODIxjoWhKR68pSseD3338HwN/fn759++Lk5MTs2bM5deoUCxYs4OTJkzaFgiZNmjBhwoTcyVhyVWxi6s1PyuRiUir+RTSrQAqJg6th7uOQdCEjVvU+6PYpuKpAKpKTFh9azJ9HMlY0DqgzgAo+Ge2PausRyRm6lkTkerJULDh27Bgmk4m33nqLZs2aAXD33XfTs2dPFixYgNlsBsDLy4thw4bRvXv33MtYcpWPu/Mtne/tdmvni+RLhgGbvoDfh4Fhzog3GwytRoKDg/1yEymAouKjmLhhovV2/eL16R3a244ZiYiIFD5ZKhZcrjhWrFjRGqtatSqQvk2EYRg0aNCAyZMnU6JEiVxIU+4ULzcn7irlk6VWhNqli+Lpqm3fpIBLS4Hfh8KWmRkxJzfoMh1qPGS/vEQKKMMwGL1uNJdSLgHg6ezJm03exMGkopyIiMidlKW/vJdXDmTuY3J3d7f+//bt2/P111+rUFAAODs68HzLijc/EXiuRQWcHTXIUgqw+BiY3dW2UFCkJDz5hwoFIrnkp30/sfbkWuvtofWHEuwVbMeMRERECqccKdP3798fBy3DLRAcHUy0qBrIU03L3/C8p5qWp0XVQJwc9e9dCqioXfB5SziyJiMWXA/6h0HJu+2WlkhBduziMd7e/Lb1dvNSzelaqasdMxIRESm8bmkN+fW2QwwICMiRZCRvcHd2ZPC9ValfzpcZqw+y7dgF67G7Sxfl2RYVaFE1EHdnTcyVAmrPYvi5P6TEZcRq9YQH3gdn7TstkhvMFjMj144kMS0RAB9XH8Y0GqOtmEVEROzklooFjzzyyDVXEPTs2fOquMlkYvny5beXndiNu7MjbUODaFElkIuJyVxMTMXX0w1PVyecHU1aUSAFk2HA32/DyvGZgiZoNxYavwL60CKSa77Z/Q1bo7dab4+6ZxQBHvoyQkRExF5uqVhw6tQpm9uXq/1XxjMfk/zLydEBE2bOnTyCo6MjvgEVtf+uFFwpCfDrS7BzfkbM1Rse+hKqtLdfXiKFwP7z+/lw64fW2x3LdaRDuQ52zEhERESyVCwoWbJkbucheZj235UCL/YEzHkUTm3LiPmWh0d/hICqdktLpDBINacycs1IUi2pAAS4BzDynpF2zkpERESyVCxYuXJlbuchImIfxzbBj70hLiojVr4FdP8aPPzslpZIYfHp9k+JOBdhvT2m8Rh8XH3smJGIiIjALbYhiIgUKP/OgV9fAXNyRqzBs3DvBHB0tl9eIoXEzrM7+WLHF9bbD1V+iOalmtsxIxEREblMxQIRKXwsZlg+BtZ9kBFzcIL73oG6/eyVlUihkpSWxIg1IzAbZgCCvYIZUn+InbMSERGRy1QsEJHCJekizH8a9i/NiHkUgx6zoVwT++UlUsi8H/4+h2IPAWDCxPgm4/F09rRzViIiInKZigUiUnjERMIPveDs3oxYYHXo9QP4lrVfXiKFzKbTm/g24lvr7T7V+lCveD07ZiQiIiJXUrFARAqHg6tgbl9IupARq3ofdPsUXIvYKyuRQicuJY5Ra0ZZb1fwqcArdV6xY0YiIiJyLSoWiEjBZhiw8XP4Yzj81xsNQLPB0GokODjYLzeRQmjq5qmcjD8JgKPJkYlNJ+Lq6GrnrERERORKt1UsSE1N5a+//mLXrl2cP3+e0aNHs2fPHkJCQnIqPxGR7EtLgd+HwJavM2JObtBlOtR4yG5piRRWfx3/i5/3/2y93b9Wf6r7V7djRiIiInI92S4WrF69mpEjRxITE2ONjRw5koceeoju3bszZsyYnMhPRCR74s/C3MfhyNqMWJGS0Ot7KHm3/fISKaQuJF1g9LrR1tvVilXjmVrP2DEjERERuZFsrb/dvn07L774ImfPnsUwDAzDAODQoUOYzWZ+/PFH5s2bl6OJiohk2emd8Hkr20JBcD3oH6ZCgYidTNgwgbOJZwFwcXBhYtOJODs42zkrERERuZ5sFQumT59OWloaderUYcaMGdZ4sWLFuOeeezAMgx9//DHHkhQRybI9i+HL9nDhaEbsrl7QbzEUKW6/vEQKsT8O/cEfh/+w3n6lzitULFrRjhmJiIjIzWSrWLB161ZMJhPDhw8nNDTUGvfz8+P1118H4PDhwzmSoIhIlhgG/DUV5jwKqfH/BU3Q7k3o8gk4u9k1PZHC6kzCGcZvGG+9XSewDo+FPmbHjERERCQrsjWzIDExEQAPD4+rjlksFgDS0tJuIy0RkVuQkgC/vgQ752fEXL3hoS+hSnv75SVSyBmGweh1o4lNjgXA3cmd8U3H4+jgaOfMRERE5GaytbKgXLlyAHz55ZeYzRlbkZnNZj7//HMAypcvf/vZiYjcTOwJmNnRtlDgWx6eXq5CgYid/bz/Z/4+8bf19uB6gyldpLQdMxIREZGsylax4OGHH8YwDBYsWECHDh2s8Xr16vH7779jMpno3LlzjiUpInJNxzalDzI8tS0jVr4FPLMSAqraLS0RgeOXjjNl0xTr7SbBTehepbsdMxIREZFbka1iQZ8+fejUqROGYZCSkoLJZALS2xMMw6B58+Y89pj6EUUkF/07B76+D+KiMmINnoXH5oOHn/3yEhEshoU31r5BQloCAEVcijC20Vjr+wURERHJ+7I1s8BkMvHuu+/Srl07Fi9ezOHDh3F0dKRs2bI88MADtGvXLqfzFBFJZzHD8jGw7oOMmIMT3PcO1O1nr6xEJJNvd3/L5qjN1tsjG44kyDPIjhmJiIjIrcpWseCyjh070rFjx5zKRUTkxpJiYf7TsH9ZRsyjGPSYDeWa2C8vEbE6eOEg74e/b73drmw7OpXvZMeMREREJDuyVSzYtGnTDY+bTCZcXFzw9vambNmyWnYoIrcvJhJ+6AVn92bEAqtDrx/At6z98hIRq1RLKiPWjCDFkgJAMbdivHHPG3ofICIikg9lq1jQp0+fLP/h9/b25vnnn6dfv37ZeSoRETi4Cub2haQLGbGQ+6Hrp+DqZa+sROQKX+z4gl0xu6y3xzQeg6+brx0zEhERkezK1oBDSN87OSv/xMbGMnnyZJYsWZKTeYtIYWAYsOEzmN3NtlDQfEh664EKBSJ5xq6YXXz272fW210qdaFl6Zb2S0hERERuS7ZWFnz99ddMmzaNf//9l3bt2lG3bl0ANmzYQFhYGJUqVaJXr17Ex8czd+5cjh8/zpw5c+jUST2LIpJFaSnw+xDY8nVGzMkdunwMNR6yW1oicrVkczIj/x5JmpEGQAnPEgyrP8zOWYmIiMjtyFaxICIigu3bt/Pyyy/z4osvWuP9+vXj3Xff5fPPP8fFxYXevXtTrVo1nn76afbu3XuDRxQRyST+LMx9HI6szYgVKQm9voeSd9svLxG5po+2fkRkbKT19vgm4/Fy0cofERGR/CxbbQjfffcdAB06dLjqWOfOnTEMg5kzZwJQrlw5AOLi4rKZoogUKqd3wuetbAsFwfWgf5gKBSJ50JaoLczaNct6u3dobxqUaGDHjERERCQnZKtYEB0dDUBkZORVxw4ePAjA8ePHATh16hQALi4u2UpQRAqRiN/gy/Zw4WhG7K5e0G8xFCluv7xE5JoSUhMYtWYUBgYA5bzLMaDOADtnJSIiIjkhW20IZcuW5cCBA4wZM4bY2FjuuusuDMNg27ZtvP/++5hMJoKDg7l48SIvvPACJpOJMmXK5HTuIlJQGAb89TaEjc8UNEG7cdD4ZdC2ayJ50tub3+Z4XPqXAw4mByY0nYC7k7udsxIREZGckK1iwWOPPcbo0aM5f/48//vf/2yOGYaByWTiscce4+TJk1y6dAmTyUTr1q1zJGERKWBSEmDhi7Dr54yYqzc89CVUaW+/vETkhtacWMNP+36y3n6qxlPUCqhlx4xEREQkJ2WrDeGRRx7hySefBK7eQtHZ2ZnnnnuO3r17W1sQ6tWrxzPPPJNzWYtIwRB7AmZ2tC0U+FWAp5erUCCSh8UmxzJ67Wjr7RC/EJ6/63k7ZiQiIiI5LVsrCwCGDh1K9+7dWblyJceOHcPZ2ZnSpUtz7733EhQUBED16tWZP38+1atXz7GERaSAOLYJ5jwK8dEZsQot4eGZ4OFnt7RE5OYmbphIdGL6tevs4MyEphNwdnS2c1YiIiKSk7JdLAAoX748Tz311HWPBwYGEhgYeDtPISIF0bYfYNErYE7JiDV4Fu6dCI639WtJRHLZssPLWHJoifX2i7VfpIpvFTtmJCIiIrkh2+/KL126RHh4OLGxsVgsFms8LS2Ns2fPsnLlSubOnZsjSYpIAWExw/IxsO6DjJiDM9z3NtTtZ6+sRCSLziae5c31b1pv1w6oTb/q/eyXkIiIiOSabBULDh48yGOPPcb58+dzOh8RKaiSYmH+07B/WUbMoxj0mA3lmtgvLxHJEsMwGPvPWC4kXwDA3cmdCU0n4OjgaN/EREREJFdkq1jw8ccfc+7cuRueU7Zs2WwlJCIFUEwk/NALzu7NiAVWh14/gK9+V4jkBwsjF7Lq2Crr7dfqvkYZb22LLCIiUlBlazeETZs2YTKZ6NKlC6+++iomk4lx48bx3nvvUaZMGUwmE2+88UZO5yoi+dHBVfB5a9tCQcj98NQyFQpE8olTcaeYvHGy9XajEo14pOojdsxIREREclu2igWX2w/69+9Pr169MAwDk8lEhw4dGDlyJIZh8Omnn+ZooiKSzxgGbPgUZneDpAsZ8eZD0lsPXL3slpqIZJ3FsPDG2jeIS40DoIhzEcY1GYfJZLJzZiIiIpKbslUscHd3t/5/Hx8fSpUqRXh4OABlyqQvSTxw4EAOpCci+VJaCiwaAL8PBcOcHnNyh4e/gtajwCFbv3pExA5+2PMDG05vsN5+veHrFPcsbseMRERE5E7I1jv2UqVKAfDOO+8QFxdHrVq1+PPPP1myZAnvv/8+AKmpqTmXpYjkH/Fn4ZsHIXxWRsw7GJ78HWo8ZL+8ROSWHY49zHtb3rPebl26NfdXuN9+CYmIiMgdk61iQZcuXTAMg5UrVxIbG0vTpk2Ji4tj0KBBLF26FJPJREhISE7nKiJ53emd8FkrOLouI1aqPjwTBiXvtl9eInLL0ixpjFwzkiRzEgB+bn78r9H/1H4gIiJSSGSrWPD444/zxBNP4OPjQ3BwMPfffz+hoaEYhoFhGLi6uvLqq6/mcKoikqdFLIIv20Ps0YzYXb2g729QJMh+eYlItszcOZPtZ7dbb//vnv9RzL2YHTMSERGROylbWycCDBs2jBdffBEAFxcXvv/+e37//Xfi4+Np3ry5tk4UKSwMA/56G8LGZ8RMDtBuHDR6CfQtpEi+s/fcXqb/O916+4EKD9CmbBs7ZiQiIiJ3WraKBX379qVGjRr07NkTL6/0iebu7u5069YtR5MTkTwuJQEWvgi7fs6IuXqnDzKs3M5+eYlItqWYU3h9zeukWdIACPIIYnjD4XbOSkRERO60bBULwsPD2bhxIy1atKB06dI5nZOI5AexJ2DOo3BqW0bMrwL0mgMBVe2WlojcnunbprP//H7r7XFNxuHt4m3HjERERMQesjWzICgovf/48qoCESlkjm2Cz1raFgoqtISnV6hQIJKPbYvexsxdM623H6n6CI1LNrZjRiIiImIv2SoWjBs3DldXV4YMGcKCBQvYtWsXR48e5eTJkzb/iEgBtO0H+LoTxEdnxBo8C73ng4ef/fISkduSkJrAyDUjsRgWAMoUKcNrdV+zc1YiIiJiL9lqQxg0aBAWi4WDBw/y+uuvX/Mck8nE7t27bys5EclDLGZYPhrWfZgRc3CG+96Guv3slpaI5IxpW6Zx9FL6biYOJgcmNJ2Ah7OHnbMSERERe8lWseD8+fM5nYeNQ4cO8fHHH7NlyxZiYmIoXrw4HTt2pH///nh6et7SY8XHxzNz5kz++OMPjh07hoODA9WqVaNv3760b9/+qvPnz5/PiBEjrvt4lStX5rfffrvl1ySSryXFwryn4MCfGTGPYvDIt1BWS5RF8rt/Tv7DnL1zrLf7Ve9H7cDa9ktIRERE7C5bxYKuXbvmdB5W27dvp2/fviQkJHDXXXdRs2ZNwsPDmTFjBitXruT777+nSJEiWXqs6Oho+vXrR2RkJP7+/jRt2pSYmBg2b97M5s2bGTVqFH369LG5z65duwBo2LAhgYGBVz1miRIlbv9FiuQnMZHwQ084uy8jFlQDen4PvtoiVSS/u5hykTfWvmG9Xdm3Mi/WftGOGYmIiEhekK1iwVtvvZXTeQCQmprKq6++SkJCApMmTbIWJZKSkhg4cCArV67knXfeYcyYMVl6vFGjRhEZGUnHjh2ZPHkyrq6uAKxZs4bnnnuOSZMm0a5dO4oXL269z+ViwZgxY6hQoULOvkCR/CYyDH7qB0kXMmIh90PXT8FVA05FCoLJGycTlRAFgJODExObTsTF0cXOWYmIiIi9ZWvAYWaxsbGsX7+eJUuWAJCSkpLtx1q8eDEnTpygSZMmNqsX3NzcmDhxIh4eHsybN4+LFy/e9LG2b9/O6tWrKVu2LFOmTLEWCgCaNm1K165dCQwM5N9//7XGzWYze/fuxcvLi/Lly2f7dYjke4YBGz6Fbx+yLRQ0Hwo9ZqtQIFJArDi6gl8jf7Xefv6u5wnxC7FjRiIiIpJXZGtlAcCpU6cYP348q1atwmKxYDKZ6NSpE+3bt2fw4MHcf//9t/yYYWFhANecJeDr60vDhg0JCwtjzZo1dOrU6YaP9fvvvwPQt29fXFyu/obkzTffvCoWGRlJYmIiDRo0wGQy3XL+IgVCWgosGQzhszJiTu7QZTrU6Ga/vEQkR8UkxjDun3HW27X8a/FkjSftmJGIiIjkJdkqFkRFRfHII49w5swZDMOwxo8fP87p06cZNmwYQUFB1K9f/5Yed9++9J7oqlWvvU975cqVCQsLY+/evTctFuzcuROA2rVrk5CQwNKlS9mxYwdms5maNWvywAMP2Kw2AKy7NwQFBTF58mTCwsI4efIkvr6+tGrVihdeeOGacwxul2EYmM3mHH/cnJA5r7yao+Sg+LM4zOuL6eg/1pDhXRJLj2+hRG3QfwPZpmtJ8hLDMBj3zzjOJZ0DwM3RjXGNxmEyTPniv09dTyI5Q9eSSM7Ib9dS5s/wN5KtYsHHH39MdHQ0/v7+PPTQQ3z66adA+g8mKCiIqKgoPv/881suFkRFpfdMBgUFXfN4QEAAkD648GYOHz4MQExMDC+//DInTpywHpszZw4zZszg008/pWLFitb45QLDokWL8PLyon79+pQoUYJdu3bxww8/8OeffzJr1iwqVap0S6/rZhITE9m2bVuOPmZu2LFjh71TkFzkfjGSihtH4ZoYZY3F+VYjst440qKAqG12y62g0bUk9rb2/FpWnlhpvf1Q4ENcOHSBbWyzX1LZpOtJJGfoWhLJGQXpWsrWzIJVq1ZhMpkYP348jz76qDVetmxZ3n77bSBjUOCtSExMBNJnFFzL5XhCQsJNHysuLg6AQYMG4ePjw7fffsuWLVtYuHAhzZo149ixYzzzzDPW8yBjZUG7du1YvXo1M2bMYObMmaxYsYJ7772Xs2fPMmDAgHxRLRK5FUVP/U3VNS/bFApiSrVnX6N3SXPzs2NmIpLTYlJi+PbUt9bboZ6htPFrY8eMREREJC/K1sqCc+fSly1eawigv78/AJcuXbrlx3V0dMRisdz0vKwsm0hOTgbSCwzffPONdbvFkJAQZsyYQdeuXdm3bx/zVohZmgAAVnZJREFU5s2jX79+AHz11VccP36cMmXK2Mw5KFKkCBMnTmTr1q0cOHCANWvW0KJFi1t+fdfj7u5+3dYLezObzdbqWM2aNXF0dLRzRpKjDAPTmndw2DwxI2RywGgzhqL3vEhRze7IMbqWJC8wDIPnVz5PoiW9OO/p7Mk77d6hpFdJO2d2a3Q9ieQMXUsiOSO/XUt79+61flF/I9kqFgQGBnLq1ClWrVpFhw4dbI4tW7YMwGY7wqzy9PTkwoUL1g/6V0pKSgLAw8Pjpo/l7u5OXFwc3bp1sxYKLnNycqJnz56MGzeOf/75x1oscHNzu26LgZeXF/fccw+//vorO3bsyNFigclkyvP/QUF6MSc/5ClZlJIAC1+AXb9kxFy9MT38FabK7eyXVyGga0nsZc6eOaw/td56e1j9YZT2KW3HjG6frieRnKFrSSRn5IdrKavD/LPVhtCuXTsMw2Dy5MkMHDjQGn/qqad4//33MZlMtGrV6pYf9/LwwDNnzlzz+OVZBVkZMlisWDEASpUqdc3jl+OXV0lkRYkSJQCyVIURydNij8PMDraFAr8K8PRyUKFApEA6evEo725513q7ZamWdKnUxX4JiYiISJ6WrWLBSy+9RPny5bFYLGzdutVamVi3bh0Wi4Xg4GCeffbZW37cy0vx9+/ff83jBw4csDkvK491eWjilS4XJC4XFc6cOcOoUaN4+eWXSUtLu+Z9Tp06BWQUDUTypWMb4bNWcOrfjFiFlvDMSgjIm+0wInJ7zBYzI9eMJDEtvdhd1LUooxuP1jbBIiIicl3ZKhYUKVKEH3/8kV69euHt7Y1hGBiGgbe3N4899hg//vgjfn63PhStZcuWQEYrQ2bnz59nw4YNuLq60qhRoyw/1uLFi6/54f+vv/4CoEGDBtbXtGjRIpYtW8aGDRuuOj82NtY62LFZs2ZZfUkiecu27+Hr+yA+044iDZ+D3vPB3dd+eYlIrpq1exbbzmyz3n7jnjfwd/e3X0IiIiKS52WrWADg7e3N6NGj2bBhA+vWrWPjxo1s2LCBUaNGWb+tv1Vt27YlODiYVatWMWfOHGs8KSmJkSNHkpCQQI8ePWwKEampqURGRhIZGUlqaqo13qlTJ0qVKsXBgwd58803bQoGP/30E0uXLqVo0aJ06dIFSJ9X0K1bNwDGjRtns9VibGwsr7zyChcvXuTBBx+kbNmy2Xp9InZjMcPSkbDgeTCnpMccnOGBD6DjZHDM1vgSEckH9p3fx0dbP7Le7lS+E+3LtbdjRiIiIpIfZOsTQs+ePenZsycdO3bE1dU1W6sIrsXNzY3Jkyfz9NNPM3r0aObOnUupUqXYunUr0dHR1KhRw2ZGAqS3GXTq1AmAFStWWGcRuLu78/777/P0008zZ84cwsLCqFWrFkeOHGHfvn3W58qc+6BBg9i9ezfbtm2jU6dO1KlTBzc3NzZt2sSlS5eoW7cu//vf/3LktYrcMUmxMO8pOPBnRsyjGDzyLZRtbL+8RCTXpZpTGblmJKmW9GJ6oHsgIxqOsHNWIiIikh9ka2XBtm3beP3112nWrBkTJky47oyB7Khfvz4//fQT9957LydPnmTVqlUUKVKEl156iVmzZuHp6Znlx6pRowaLFi2iT58+uLi4sGrVKs6fP8/999/P3Llzra0Kl3l5eTF79myGDh1K+fLlCQ8PZ/369ZQpU4bXX3/9lp9fxO5iIuGLtraFgqAa8EyYCgUihcCM7TPYc26P9fbYJmPxcfWxY0YiIiKSX5gMwzBu9U4NGzYkNjY2/QH+G45Uu3Zt62oDFxeXnM2ygIqIiCAhIQEPDw9CQ0Ptnc41mc1mtm3bBqT/O87r24BIJpFh8FM/SLqQEQu5H7p+Cq5e9sqq0NK1JHfajjM76PN7H8yGGYCHqzzM6Eaj7ZxVztD1JJIzdC2J5Iz8di1l9XNotlYWrFmzhvfff5+WLVvi6OiIYRhs3bqV4cOH06xZM9566y0iIyOznbyI3AbDgPUz4NuHbAsFzYdCj9kqFIgUAklpSYxYM8JaKAj2CmZwvcF2zkpERETyk2zNLHB2dubee+/l3nvv5ezZsyxcuJBff/2VvXv3EhsbyzfffMPs2bPZvXt3TucrIjeSlgJLBkH4NxkxJ3foMh1qdLNfXiJyR70f/j6HLx4GwISJCU0n4OmsNjoRERHJutsege7v70/fvn0pV64cn332Gdu3bycbnQ0icrviz8KPfeDouoyYdzD0/B5K1rZbWiJyZ208tZFvI7613n682uPUDaprx4xEREQkP7qtYsH27dtZsGABS5Yssc4wMAwDFxcXOnTokCMJikgWnN4BPzwKsUczYqUapO94UCTIfnmJyB0VlxLHG2vfsN6u6FORl+u8bMeMREREJL/KVrHg008/ZeHChRw6dAjAupKgTJkyPPLII3Tr1g1fX9+cy1JEri9iEfz8LKTGZ8TuehQeeA+cXO2WlojceVM2TeFk/EkAnExOTGg2AVdH/R4QERGRW5etYsG0adMwmUwYhoGTkxOtWrWiZ8+eNGnSJKfzE5HrMQz4ayqETciImRyg3Tho9BL8t1OJiBQOq46t4pcDv1hv96/Vn+rFqtsvIREREcnXst2GEBgYSPfu3enevTtBQVrmLHJHpSTAwhdgV8YHA1y94eGvoHI7++UlInZxPuk8Y9aNsd6uVqwaT9d62n4JiYiISL6XrWLBRx99ROvWrXFwuHrnxYSEBH777Td+/PFH5s+ff9sJisgVYo/DnEfh1L8ZMb8K0GsOBFS1X14iYheGYTB+/XhikmIAcHFwYWLTiTg7ONs5MxEREcnPslUsaNu27VWxnTt3MnfuXBYvXkxCQsJtJyYi13BsI8zpDfHRGbEKLaH71+CuOSEihdHvh35n2ZFl1tuv1HmFikUr2jEjERERKQhuazeE+Ph4Fi1axNy5c4mIiLDGDcPApH5pkZy17XtYNADMKRmxhs9B+wngeNu7oIpIPhSdEM2EDRlzS+oG1aVPtT52zEhEREQKimx9wti+fTtz585lyZIlJCYmAhk7Ijg5OdG6dWt69eqVc1mKFGYWM/z5P/jno4yYgzPc9w7U7Wu/vETErgzD4H/r/sfFlIsAeDh5ML7JeBxMV7cIioiIiNyqLBcL4uLi+PXXX/npp5/Ys2cPkFEguMxkMhEWFkZAQEDOZilSWCXFwrwn4cDyjJiHPzwyG8o2tl9eImJ38/bPY+2JtdbbQ+oPoVSRUnbMSERERAqSLBULRowYwe+//05SUpJNgcDT05P27dtTokQJpk+fDqBCgUhOiYmE7x+BmP0ZsaAa0OsHKFrGfnmJiN0du3SMqZumWm83DW7KQ5UfsmNGIiIiUtBkqVjw888/YzKZMAwDJycnmjZtSufOnWnTpg2urq78/fffuZ2nSOESuRJ+6pe+suCykPuh66fg6mW3tETE/swWM6PWjCIxLb0N0NvFm7GNx2pWkIiIiOSoW5pZYDKZKF68OHfddRc1a9bE1dU1t/ISKZwMAzZ8CktHgGHOiLcYBi2GwzW2KxWRwuXbiG8Jjw633h51zygCPQLtmJGIiIgURFkqFtStW5ctW7YAcOLECT744AM++OADatasyf3330+RIkVyNUmRQiEtBZYMgvBvMmJO7tBlOtToZr+8RCTPOHD+AB+Ef2C9fW+5e+lYvqMdMxIREZGCKkvFgu+++47Dhw/z008/sXDhQs6ePQvAjh072LFjh825ZrMZR0fHnM9UpCCLPws/9oGj6zJi3sHQ83soWdtuaYlI3pFqSWXEmhGkWNK3T/V392dUw1F2zkpEREQKqiyvaS5XrhxDhgxh9erVfPTRR7Rs2RIHBwcMw8AwDGuvZNOmTZk8eTL79++/ySOKCACnd8BnrWwLBaUawDNhKhSIiNXn2z8n4lyE9fbYxmMp6lbUfgmJiIhIgXbLDdCOjo60bduWGTNmEBYWxquvvkqZMmWsRYMLFy7w9ddf8+CDD+ZGviIFS8Qi+PJeiD2aEbvrUej3GxQJsl9eIpKn7IrZxWfbP7Pe7la5G81LNbdjRiIiIlLQ3da0tMDAQJ577rn/t3fnYVGW+x/HP8OA7C64J5qJ4pJ77nJc09JssdS0tLRMrSy1zQUIFXEpzZNt2l5WmluezDraMa1wzRQ3DNdKTVxQRGWH5/eHP4YmsFAHn5nh/bour9N9P9tnOHyV+fI892j16tX66KOP1KtXL5UqVcrWOABwGYYhff+S9PlAKevipTmLh9Q95tIaBZ4sHgrgkoycDIX/GK6c/1/09Ab/G/R8i+dNTgUAANzdFX0awt9p3bq1WrdurfPnz+vLL7/U0qVLHXVqwL1kpkrLH5fil+fPeZeW+rwv1elmWiwAzum1ba/p4LmDtvGUsCkKKMVHqAIAgOLlsGZBnsDAQD344IN68MEHHX1qwPWdOyotGCAl7syfCwqRBiyUKoaalwuAU9qauFUfx+d/QsrA+gPVskpLExMBAICSwuHNAgCXcWSLtPBB6eLJ/LlanaW+H0i+5czLBcApXcy6qIj1ETJ06bG+m8rcpFHNR5mcCgAAlBQ0C4DrYfun0lejpZzM/LnWj0vdp0hWyhBAQTO3ztSxC8ckSVaLVTHtY+Tj6WNyKgAAUFLwLgUoTrk50rcvShtfz5/z8JLumCXd8rB5uQA4tR+P/qgl+5bYxo82elSNKjYyMREAAChpaBYAxSX9nLTkEenA//Ln/CpI98+XbmxnXi4ATu1cxjlFbYiyjesH1deIxiNMTAQAAEoimgVAcUg6KH12v5S0P3+uckNpwAKpbA3zcgFwejGbY3Qq7ZQkycvDSzFhMfKyepmcCgAAlDQ0CwBHO/idtHjwpTsL8tTrJfWeJ3nzcWcALm/Vr6v0zeFvbOORzUaqTrk6JiYCAAAlFc0CwFEMQ9o8T1o1QTJy8uc7jpU6jpM8PMzLBsDpnU47rSmbptjGzSo108MNWNsEAACYg2YB4AjZmdLKZ6Tt8/PnPH2l3m9JN/c2LxcAl2AYhiZumKjkjGRJkq+nr6a0nyKrh9XcYAAAoMSiWQBcqwunpEWDpN835s+Vrib1/0y6oalpsQC4juUHluv7o9/bxs/e8qxqlGZ9EwAAYB6aBcC1SNwlLRggnTuSPxfcSur/qRRQybxcAFzGsQvHNOOnGbZxuxvaqV/dfiYmAgAAoFkAXL34L6UvhktZqflzTR+Ues2WPL3NywXAZeQauYpcH6mLWRclSYFegZrUbpIsFovJyQAAQElHswC4UoYhff+StG5q/pzFQ+oWLbV9UuKHfABF9Nnez/RT4k+28fjW41XFv4qJiQAAAC6hWQBcicxUafnjUvzy/Dnv0lKf96U63UyLBcD1HDp3SP/e9m/b+NYat6pXrV7mBQIAAPgTmgVAUZ07eml9gsSd+XNBIdKAhVLFUPNyAXA52bnZioiNUEZOhiQpyCdIkW0jefwAAAA4DZoFQFEc2SItfFC6eDJ/rlZnqe8Hkm8583IBcEnv7XpPu07vso2j2kYpyCfIxEQAAAD2aBYA/2T7p9JXo6WczPy51o9L3adIVkoIwJXZm7RXc3fMtY3vCrlLXWp0MTERAABAQbzTAS4nN0f69kVp4+v5cx5eUq9XpOYPmZcLgMvKzMnUhNgJyjayJUlV/KtoXKtxJqcCAAAoiGYBUJi0ZGnpo9KB/+XP+VWQ7v9EurGtabEAuLbX417XgeQDtnF0+2gFlgo0MREAAEDhaBYAf3X6gLSgv5S0P3+uciNpwGdS2Rrm5QLg0raf3K4Pd39oGw+oN0BtqrYxLxAAAMDfoFkA/NmBNdKSIVL6ufy5+ndK98yVvAPMywXApaVmpSo8NlyGDEnSjaVv1JhbxpicCgAA4PJoFgCSZBjS5rnSqgmSkZs/33Gs1HGc5OFhXjYALu+Vn1/RkfNHJEkeFg/FhMXI19PX5FQAAACXR7MAyM6UVj4jbZ+fP+fpK/V+S7q5t3m5ALiFDcc26POEz23jRxo+oiYVm5iYCAAA4J/RLEDJduGUtGiQ9PvG/LnS1aT+n0k3NDUtFgD3kJKZosgNkbZxaLlQPd7kcRMTAQAAFA3NApRcibukBQOkc0fy54JbSf0/lQIqmZcLgNuYvnm6TqaelCR5enhqathUlbKWMjkVAADAP6NZgJIp/kvpi+FSVmr+XNMHpV6zJU9v83IBcBtrflujFYdW2MZPNn1SdYPqmpgIAACg6GgWoGQxDOn7l6R1U/PnLB5S9ylSmycki8W8bADcRlJakiZvmmwbN67YWINvHmxeIAAAgCtEswAlR+ZFafkTUvzy/DnvMlKf96U6t5oWC4B7MQxDkzdO1pn0M5IkH6uPYtrHyNODf3IBAIDr4CcXlAzJR6SFD0iJO/PngkKkBz6XKtQxLxcAt7Pi0Ap9d+Q723j0LaNVs0xN8wIBAABcBZoFcH+/b5Y+f1C6eCp/rlZnqe8Hkm8583IBcDuJFxM1bfM027h1ldYaUG+AiYkAAACuDs0CuLftn0pfjZZyMvPnWj9+aY0CK9/+ABwn18hV5PpIXci6IEkK8ApQdPtoeVg8TE4GAABw5Xi3BPeUky19+6K06Y38OQ8vqdcrUvOHzMsFwG19nvC5Nh3fZBuPbTVWVQOqmpgIAADg6tEsgPtJS5aWPCIdXJM/51dBuv8T6ca2psUC4L5+S/lNr2x9xTbuVL2T7g6528REAAAA14ZmAdzL6QPSgv5S0v78ucqNpAGfSWVrmJcLgNvKyc1ReGy40nPSJUnlvMspqm2ULHwUKwAAcGE0C+A+DqyRlgyR0s/lz9W/U7pnruQdYF4uAG7tgz0faMepHbZxZNtIVfCtYGIiAACAa0ezAK7PMKTNc6VVEyQjN3++4zip41jJg8XFABSPhDMJeiMuf22UO2rdoW43djMxEQAAgGPQLIBry86QVj4rbZ+fP+fpK/V+S7q5t3m5ALi9rJwshceGKzs3W5JUya+Sxrcab3IqAAAAx6BZANd14ZT0+UDpSP7q4yodfGl9gqpNzMsFoER4a8dbSjibYBtPbjdZZbzLmJgIAADAcWgWwDUd3yktfEA6dyR/LriV1P9TKaCSebkAlAg7Tu3Qe7vfs437hfZT+2rtTUwEAADgWDQL4Hri/yN9MULKSs2fa/qg1Gu25OltXi4AJUJadpoiYiOU+/9rpAQHBOvZFs+anAoAAMCxaBbAdeTmSj+8JK2blj9n8ZC6T5HaPCHxMWUAroN///xv/ZryqyTJIotiwmLk5+VnbigAAAAHo1kA15B5UVr++KW7CvJ4l5H6vC/VudW8XABKlE3HN+mzXz6zjQffPFjNKzc3MREAAEDxoFkA55d85NL6BIk78+eCQqQHPpcq1DEvF4AS5XzmeUWuj7SNa5etrSebPWliIgAAgOJDswDO7ffN0ucPShdP5c/V6iz1/UDyLWdeLgAlzowtM5R4MVGS5Gnx1NSwqfK2sk4KAABwTzQL4Ly2fyp9NVrKycyfa/OE1C1asvKtC+D6Wfv7Wv3nYP5jUMObDFf98vVNTAQAAFC8eMcF55OTLX37orTpjfw5D69Ln3bQfJB5uQCUSGfSz2jixom2ccPyDTW00VDzAgEAAFwHNAvgXNKSpSWPSAfX5M/5VZDu/0S6sa1psQCUTIZhaMqmKTqTfkaS5G31Vsy/YuTpwT+fAADAvfHTDpzH6QPSgv5S0v78ucqNpAGfSWVrmJcLQIn19eGv9e1v39rGo5qPUq0ytUxMBAAAcH3QLIBzOLBGWjxEyjiXP1f/TumeuZJ3gHm5AJRYJy6eUMzmGNu4ZZWWerD+gyYmAgAAuH5oFsBchiFtektaHS4ZufnzHcdJHcdKHh7mZQNQYhmGoaiNUTqfeV6S5O/lr+j20fKw8HcSAAAoGWgWwDzZGdLKZ6Ttn+TPefpKvd+Sbu5tXi4AJd7ifYu1/th62/iFli+oWkA1ExMBAABcXzQLYI4Lp6TPB0pHNuXPlQ6+tD5B1Sbm5QJQ4h1JOaKZW2faxh2CO6h3bRqYAACgZKFZgOvv+E5p4QPSuSP5c9VbX/rEg4BK5uUCUOLl5OYoYn2E0rLTJEllvMtoYtuJslgsJicDAAC4vmgW4PqK/4/0xQgpKzV/rulAqdcrkqe3ebkAQNL8+PnadnKbbRzROkIV/SqamAgAAMAcrNTkRlavXq2WLVvKz89PN910k2bOnCnDMP72mJUrV6pVq1by9fVVcHCwRo0apYsXL9rtEx8fr2HDhqlMmTK64YYbNGHCBGVmZtrts2vXLvXo0UNBQUGqWrWqHn74YZ04ccK2ffDDD8tischy8z2yRCTKMikl/0/vN/XbsUTHfSEA4CocOHtAc7bPsY1vr3m7br/pdhMTAQAAmIc7C9zEpk2b1KtXL91///2Kjo5WbGysXnjhBWVnZ2vcuHGFHrNixQrdc889euihhzR9+nTFx8drwoQJOnXqlD777DNJ0qFDh/TEE0+ocePGWrBggfbt26fw8HCdOXNGc+fOlSSdOHFCXbp0UfXq1fXhhx8qLS1NY8eOVY8ePbR582Z5GZmKvCVFI7z88i/uFaAztzytvqOmqlOnTqpRo0axf40A4HKycrM0IXaCsnKzJEkVfCsovHW4yakAAADMQ7PATURFRalZs2aaP3++JOn2229XVlaWpk6dqlGjRsnX17fAMWPGjFGfPn30wQcfSJK6dOminJwczZkzR6mpqfLz89PLL78sf39/zZo1Sy1bttSdd94pPz8/jRw5UhMmTFCNGjX0n//8R6dPn9amTZsUEhIiSSpbtqxuv/12bVi9XB2PvKqQM7sUEvz/325BIdIDn+u+4eMUFBSkTz/9lOeBAZjq7Z1va++ZvbbxpHaTVNanrHmBAAAATMZjCG4gIyND69atU+/e9qt19+nTR+fPn1dsbGyBY7Zv366DBw/qqaeespsfNWqUDh48KD+/S3cBrF69Wu3bt5eXl5fdeXNzc7Vq1SpJUnp6uiSpdOnStn3Kly8vSUr6/CkpcVf+BWp1lh5bo6+37NeyZcs0e/ZslS1b9upfPABco92nd+udne/YxvfVuU8dgjuYmAgAAMB8NAvcwKFDh5SZmanQ0FC7+dq1a0uSEhISChwTFxcnSfLx8VGvXr3k6+uroKAgjR49WhkZGZKktLQ0/fbbbwUeEahYsaJKly5tO2+/fv1UtWpVjRw5UsePH9fhw4f1/OMPqWqgRbdW+9NChm2ekB5cIsOnrJ577jl17NhRffr0cdSXAQCuWHp2uibETlCOkSNJqhZQTc+3fN7kVAAAAOajWeAGzp07J8n+N/uSFBgYKElKSUkpcMypU6ckSb1799bNN9+sr7/+WuPGjdO8efM0ZMgQu/MGBAQUOD4wMNB23ipVqmju3LlasWKFbrjhBtWqVUs7du/VNw/4qbS3RfLwku56Xbp9mmT11IoVK7R3715FREQ46CsAAFdnzvY5OnzusCTJIoui20fL38vf5FQAAADmY80CN5Cbm/u32z08CvaE8j7NoHfv3poxY4YkqXPnzsrNzdX48eM1ceLEQpsEhZ33s88+06BBg9T33rv1yE0nlH5ku2ZuyFT3T1L1/YhqqvfUIunGtrbjXn/9dTVt2lS33nrrFb1OAHCknxJ/0ifxn9jGAxsMVMsqLU1MBAAA4Dy4s8ANlClTRpJ0/vx5u/m83/znbf+zvLsOevXqZTd/++2XPiZs+/bttjsV/vpRinnnzjvvxIkT1a5lcy3s8Lu6++3WXXW9tGqgn3y9SylifyO7RsGZM2e0du1aPfjgg1f1WgHAES5mXVTk+kgZuvTxsrXK1NLTzZ42ORUAAIDz4M4CNxASEiKr1aoDBw7YzeeN69evX+CYOnXqSJJtfYI8WVmXPjbM19dXAQEBqlatmo4ePWq3z8mTJ3X+/HnbeX/79Vf1ruojJeV/ooFv47vVouN57dlrv17Cf//7X2VnZ6tv375X81IBwCFe/ullHbtwTJJktVg1NWyqfDx9TE4FAADgPLizwA34+PioQ4cOWrZsmQzDsM0vXbpUZcqUUatWrQoc06FDB/n7+2vBggV2819++aU8PT3Vtu2luwG6deumH3/80fbYQt55rVarunTuLG18U/WCcrT+cGr+tTuNV/qd87Qtbqdq1apld/5NmzYpODhYN954o6NePgBckR+O/qCl+5faxo81fkw3V7jZxEQAAADOhzsL3ERERIRuvfVW9evXT4888og2bNigl19+WdOnT5efn59SUlIUHx+vkJAQVaxYUQEBAZo8ebKeffZZlStXTvfee682bNigGTNmaNSoUapYsaIk6bnnntOCBQs0ZswYjR8/XgcPHtSECRM0bOijqhH3krT9E0V39tY9C9PUb2mmHn3qBWWcq6/ZPXvq2LFj+uyzz+xy7tq1Sw0aNDDjSwQASk5PVtSGKNu4flB9DWs8zMREAAAAzok7C9xEly5dtHTpUiUkJOiee+7Rp59+qpdfflkvvPCCJGnbtm1q27atVq5caTvmmWee0fvvv6/vv/9ePXv21Pvvv69JkybppZdeurRDbo4ahNbSf5cvlJGVpvvvv1+vvDJLY556Qq+2TZK2X1oY7K66Xvr6sRr6w7e+eo9+WY899pgCAgL0008/qU2bNnY5T5w4oXLlyl2fLwoA/EXM5hidTjstSSrlUUpTw6bKy8PL5FQAAADOhzsL3Ejv3r3Vu3fvQrd16tTJ7hGFPEOGDLF9VKKdrDRp/7eyrJ+tTse2afOdku70lqrVldq0k2qMkeb3lk7vl6q31u3PfaLbAyr9Y8b4+PgrfVkA4BD/Pfxf/ffX/9rGTzV7SrXL1TYxEQAAgPOiWYCCstKkNZOlTW8W3HbsZ2npo1LrEdLAZdKGN6TukyVP7+ufEwCK6FTqKU3ZPMU2bl6puQY1GGRiIgAAAOfGYwiwl5sj7f+28EbBn22ee6lxcFsMjQIATs0wDEVtiNK5jHOSJF9PX00JmyKrh9XkZAAAAM6LZgHs5WRK62cXbd8Nr0m5WcWbBwCu0bL9y/TjsR9t4+daPKfqgdVNTAQAAOD8aBbAXsZ56di2ou177OdL+wOAkzp6/qhe+ukl27h9tfbqG9rXxEQAAACugWYB7KUnX+H+54olBgBcq1wjV5HrI5WanSpJCiwVqEltJ8lisZicDAAAwPnRLIA9n7JXuH+ZYokBANfq072fauuJrbZxeOtwVfavbGIiAAAA10GzAPa8A6VqzYu2b7VbLu0PAE7m0LlDenXbq7Zxtxu7qedNPU1MBAAA4FpoFsCetZTUfkzR9m0/WvLwKtY4AHClsnOzFf5juDJyMiRJ5X3KK7JNJI8fAAAAXAGaBbDnYZXqdJPaPPH3+7V54tJ+Vs/rkwsAiujdXe9qd9Ju2ziqbZTK+ZQzMREAAIDr4Z0eCvLylbq+KNVoK63/96VPPcgT3EJqN+pSo8DL17SIAFCY+KR4zdsxzza+O+Ruda7R2cREAAAArolmAQrn5SvV7SmjTjflpp2T0pLl4R8ki3fgpUcPuKMAgJPJyMlQeGy4so1sSVJV/6oa22qsyakAAABcE+/4cHlWT+XKon3HzspqtSqkQnlZrVazUwFAod7Y/oYOJB+wjaPbRyuwFIuwAgAAXA2aBfhHqampZkcAgL+17cQ2fbjnQ9v4gXoPqHXV1uYFAgAAcHEscAgAcGmpWakKjw2XIUOSVLN0TY2+ZbS5oQAAAFwczQIAgEubtXWWjl44KknysHhoStgU+XqyACsAAMC1oFkAAHBZ64+t16J9i2zjRxs+qiYVm5iYCAAAwD3QLAAAuKRzGef04voXbeO65erq8SaPm5gIAADAfdAsAAC4pGlbpulk2klJkqeHp2LCYuRl9TI5FQAAgHtwyk9DOHz4sN544w39/PPPSkpKUpUqVdSjRw8NGzZM/v7+V3Suixcv6oMPPtB///tfHTlyRB4eHmrQoIEefvhhde/evdBjdu3apTfffFO7d+9WSkqKqlevrrvvvluDBw+Wlxc/iAKA2b797VutPLTSNn6y6ZOqG1TXxEQAAADuxenuLNi5c6fuvfderVixQhUrVlSnTp2UmpqquXPnqn///jp//nyRz3Xy5En17dtXr732ms6ePauwsDDVrVtXW7du1VNPPaX58+cXOGbNmjXq37+/1q1bp5o1ayosLEwnT57UzJkz9dhjjykrK8uRLxcAcIVOp53W5I2TbeMmFZtoyM1DTEwEAADgfpzqzoKsrCyNHj1aqampmj59unr37i1JSk9P15gxY/Tdd99p1qxZmjhxYpHOFxERoYMHD6pHjx6aMWOGvL29JUmxsbEaMWKEpk+frm7duqlKlSqSpOTkZD3//POyWCx677331K5dO9v8sGHDtHHjRn344Yd67LHHHP/iAQD/yDAMTdo4SckZyZIkX09fxYTFyOphNTcYAACAm3GqOwtWrlypY8eOqX379rZGgST5+Pho6tSp8vPz05IlS5SSkvKP59q5c6e+//573XjjjXrppZdsjQJJCgsLU+/evVWpUiXt2LHDNv/JJ5/o4sWL6t27t61RIElly5bVtGnTJEkfffSRcnNzHfFyAQBX6D8H/6N1R9bZxmNuGaMbS99oWh4AAAB35VTNgrVr10pSoWsJlCtXTq1bt1ZWVpZiY2P/8VzffPONJOnhhx9WqVKlCmyPjo7W2rVrddttt9nm1q1bd9nrh4SEKDQ0VKdOndKuXbuK9HoAAI5z/MJxzdgywzZuU7WN7q97v4mJAAAA3JdTNQv27dsnSapbt/BFqurUqSNJSkhI+Mdz7d69W5LUtGlTpaam6osvvtDkyZMVFRWlJUuWKCMjo8Ax+/fvd9j1AQCOk2vkKnJ9pC5kXZAkBXoFKrp9tDwsTvXPGAAAgNtwqjULTpw4IUmqXLlyodsrVqwo6dLChf/k119/lSQlJSXpqaee0rFjx2zbFi5cqLlz52revHkKCQmRdGldgvT0dHl4eKhSpUrXfP0rYRiGcnJyHHpOR/lzLmfNCLgCaunaLPhlgTYnbraNX2j5gir6VORrWUJRT4BjUEuAY7haLRmGUaT9nKpZkJaWJunSGgWFyZtPTU39x3NduHDpt0/PPvusgoODNWPGDNWvX19Hjx7VzJkz9eOPP+qxxx7Tl19+qYCAgH+89pVe/0qkpaUpLi7OoecsDjx+ATgGtXRlEjMSNfvAbNu4eWBzBZ8Ldom/N1H8qCfAMaglwDHcqZac6v5Nq7Voq1kXpROS95iBj4+PPv74Y7Vs2VIBAQGqV6+e5s6dq9DQUB07dkxLliyRJHl4FP1LUdRODADg2uQYOXr76NvKNDIlSYHWQA2uNlgWi8XkZAAAAO7Nqe4s8Pf3V3JycqHrCUiXPkJRkvz8/P7xXL6+vrpw4YLuvfdeBQYG2m3z9PRU//79NXnyZG3cuFGDBw+Wv7+/JF322ld6/Svh6+t72XUSzJaTk2PrjjVq1KjIDR0A9qilq/Pu7nd1KO2QbTyp/SR1qNHBxERwBtQT4BjUEuAYrlZLCQkJtjvr/45TNQsqVaqk5ORknTp1SlWrVi2wPW+tgMutKfBn5cuX14ULFxQcHFzo9rz5M2fOSJICAgIUEBCgCxcuKCkpSeXLl7+m618Ji8Xi9N9Q0qU7P1whJ+DsqKWiSTiToLk759rGd9a6U91u6mZiIjgj6glwDGoJcAxXqKWi3qHpVI8h5P12Pe9TCf7qwIEDdvsV5Vx5iyb+1alTpyTJrikQGhrqsOsDAK5eZk6mJsROUHZutiSpsl9ljWs9zuRUAAAAJYdTNQs6deokSVq9enWBbWfPntXmzZvl7e2ttm3bFvlcK1euVHZ2doHtP/zwgySpVatWRbr+wYMHtW/fPlWoUEENGzb8x+sDAK7eWzve0r6z+2zjye0nq3Sp0iYmAgAAKFmcqllw6623qlq1alq3bp0WLlxom09PT1d4eLhSU1PVr18/BQUF2bZlZWXp4MGDOnjwoLKysmzzPXv2VHBwsA4dOqTo6Gi7hsHixYu1atUqlS1bVvfcc49t/t5771VAQIAWLVqktWvX2uaTk5M1YcIESdLQoUPl6elUT28AgFuJOxmn93e/bxvfX/d+tbuhnYmJAAAASh6netfr4+OjGTNmaOjQoYqKitKiRYsUHBys7du36+TJk2rYsKHGjBljd8yJEyfUs2dPSdKaNWtsaxH4+vrq1Vdf1dChQ7Vw4UKtXbtWjRs31m+//aZ9+/bZrvXnxkPFihU1efJkPffcc3r88cfVvHlzBQUF6aefflJycrI6d+6sQYMGXb8vCACUMKlZqYpYH6FcI1eSVCOwhp655RmTUwEAAJQ8TtUskKSWLVtq8eLFev3117VlyxYdOHBAwcHB6tevn4YMGWL71IKiaNiwoVasWKF58+Zp3bp1WrduncqWLatevXpp2LBhha49cMcdd6hy5cqaN2+e4uLilJ2drerVq+vxxx/XAw88wF0FAFCM/r3t3/ot5TdJkofFQzFhMfLzcuwn0AAAAOCfOeU739DQUM2ZM6dI+wYHByshIeGy2ytWrKiIiAhFREQU+fotWrRQixYtirw/AODabTq+SQt+WWAbP3zzw2paqal5gQAAAEowp1qzAABQMp3PPK/I9ZG2ce2ytTWy6UgTEwEAAJRsNAsAAKabvmW6Ei8mSpI8LZ6aGjZVpaylTE4FAABQctEsAACY6rvfv9OXB7+0jUc0GaH65eubmAgAAAA0CwAApjmTfkaTNk6yjRtVaKRHGz1qYiIAAABINAsAACYxDEPRG6N1Jv2MJMnb6q0pYVPk6eGUa+8CAACUKDQLAACm+OrQV/rf7/+zjUc3H61aZWqZmAgAAAB5aBYAAK67xIuJmrZ5mm3cqkorPVD/ARMTAQAA4M9oFgAArivDMBS1IUrns85Lkvy9/BXdPloeFv5JAgAAcBb8ZAYAuK4WJSzShj822MZjW47VDQE3mJgIAAAAf0WzAABw3fye8rtm/TzLNu4Y3FH31L7HvEAAAAAoFM0CAMB1kZObo4j1EUrLTpMklfUuq4ntJspisZicDAAAAH9FswAAcF18FP+Rtp/cbhtHtIlQBd8KJiYCAADA5dAsAAAUu31n9+n17a/bxj1u6qHbat5mYiIAAAD8HZoFAIBilZWTpfDYcGXlZkmSKvpWVHjrcJNTAQAA4O/QLAAAFKu5O+fqlzO/2MaT2k1SGe8yJiYCAADAP6FZAAAoNrtO7dJ7u96zjfuE9tG/gv9lYiIAAAAUBc0CAECxSM9O14TYCcoxciRJ1QKq6bkWz5mcCgAAAEVBswAAUCxe3faqfk35VZJkkUUxYTHy9/I3NxQAAACKhGYBAMDhthzfok/2fmIbP9TgId1S+RYTEwEAAOBK0CwAADjUhcwLilwfaRuHlAnRU82fMjERAAAArhTNAgCAQ7289WX9cfEPSZKnxVMx/4qRt9Xb5FQAAAC4EjQLAAAO88PRH7Rs/zLbeFjjYbq5/M0mJgIAAMDVoFkAAHCI5PRkRW2Iso0blG+goY2HmpgIAAAAV4tmAQDAIaZsnqLTaaclSaU8Smlq2FR5eXiZnAoAAABXg2YBAOCafXP4G636dZVt/HTzpxVSNsTERAAAALgWNAsAANfkZOpJTdk0xTZuXqm5BtYfaGIiAAAAXCuaBQCAq2YYhqI2RCklM0WS5OvpqylhU2T1sJqcDAAAANeCZgEA4Kot3b9UscdibePnWz6v6oHVTUwEAAAAR6BZAAC4KkfPH9XLP71sG4dVC1OfOn1MTAQAAABHoVkAALhiuUauItZHKDU7VZJUulRpTWo3SRaLxeRkAAAAcASaBQCAKzY/fr5+PvGzbRzeOlyV/CqZmAgAAACORLMAAHBFDiYf1Jxtc2zj7jd2V4+bepiYCAAAAI5GswAAUGRZuVmaEDtBmbmZkqTyPuUV0SaCxw8AAADcDM0CAECRvbvzXcUnxdvGk9pNUjmfciYmAgAAQHGgWQAAKJI9SXv09s63bePetXurY/WOJiYCAABAcaFZAAD4Rxk5GQr/MVzZRrYk6Qb/G/RCyxdMTgUAAIDiQrMAAPCPXtv2mg6eO2gbR7ePVkCpABMTAQAAoDjRLAAA/K2tiVv1cfzHtvHA+gPVqmorExMBAACguNEsAABc1sWsi4pYHyFDhiSpZumaGtV8lMmpAAAAUNxoFgAALmvm1pk6duGYJMlqsWpq2FT5ePqYnAoAAADFjWYBAKBQPx79UUv2LbGNH230qBpVbGRiIgAAAFwvNAsAAAWcyzinqA1RtnH9oPoa0XiEiYkAAABwPdEsAAAUELM5RqfSTkmSvDy8FBMWIy+rl8mpAAAAcL3QLAAA2Fn16yp9c/gb23hks5GqU66OiYkAAABwvdEsAADYnE47rSmbptjGzSo108MNHjYxEQAAAMxAswAAIEkyDEOTNkxSckayJMnX01dT2k+R1cNqbjAAAABcdzQLAACSpOUHlmvd0XW28bO3PKsapWuYFwgAAACmoVkAANAfF/7QjJ9m2MZtq7ZVv7r9TEwEAAAAM9EsAIASLtfIVeT6SF3MuihJCvQK1OT2k2WxWExOBgAAALPQLACAEm7BLwu0JXGLbTy+9XhV8a9iYiIAAACYjWYBAJRgh88d1uyfZ9vGXWt0Va9avUxMBAAAAGdAswAASqjs3GyFx4YrIydDkhTkE6QX277I4wcAAACgWQAAJdX7u9/XrtO7bOMX276oIJ8gExMBAADAWdAsAIAS6Jczv+itHW/ZxneF3KWuNbqamAgAAADOhGYBAJQwmTmZGv/jeGXnZkuSKvtV1thWY01OBQAAAGdCswAASpg34t7QgeQDtnF0+2iVLlXaxEQAAABwNjQLAKAEiTsZpw/3fGgb96/bX21vaGteIAAAADglmgUAUEKkZqVqQuwE5Rq5kqQagTU05pYxJqcCAACAM6JZAAAlxCs/v6Ij549IkjwsHooJi5Gfl5/JqQAAAOCMaBYAQAmw4Y8N+jzhc9t4yM1D1LRSU/MCAQAAwKnRLAAAN5eSmaLI9ZG2cWi5UD3R9AkTEwEAAMDZ0SwAADc3ffN0nUw9KUny9PDU1LCpKmUtZXIqAAAAODOaBQDgxtb8tkYrDq2wjZ9o8oTqBtU1MREAAABcAc0CAHBTSWlJmrxpsm3cuGJjDWk4xMREAAAAcBU0CwDADRmGockbJ+tM+hlJko/VRzHtY+Tp4WlyMgAAALgCmgUA4IZWHFqh7458ZxuPvmW0apapaV4gAAAAuBSaBQDgZhIvJmra5mm2cesqrTWg3gATEwEAAMDV0CwAADeSa+Qqcn2kLmRdkCQFeAUoun20PCz8dQ8AAICi46dHAHAjixIWadPxTbbx2FZjVTWgqomJAAAA4IpoFgCAm/g95Xe98vMrtnGn6p10d8jdJiYCAACAq6JZAABuICc3R+Gx4UrLTpMklfMup6i2UbJYLCYnAwAAgCuiWQAAbuDDPR8q7lScbRzZNlIVfCuYFwgAAAAujWYBALi4fWf36Y24N2zjO2rdoW43djMxEQAAAFwdzQIAcGFZOVma8OMEZeVmSZIq+VbS+FbjTU4FAAAAV0ezAABc2Fs73lLC2QTbeFL7SSrjXcbERAAAAHAHNAsAwEXtPLVT7+1+zzbuG9pXYdXCTEwEAAAAd0GzAABcUFp2msJjw5Vr5EqSggOC9VyL50xOBQAAAHdBswAAXNCr217Vrym/SpIssmhK2BT5efmZGwoAAABug2YBALiYzcc369O9n9rGD9/8sG6pfIuJiQAAAOBuaBYAgAs5n3lekesjbePaZWtrZLORJiYCAACAO6JZAAAu5KWfXtLxi8clSZ4WT8WExcjb6m1yKgAAALgbmgUA4CLWHVmn5QeW28bDmgxTg/INTMsDAAAA90WzAABcwNn0s5q4YaJtfHP5mzW00VDzAgEAAMCt0SwAACdnGIaiN0UrKT1JklTKo5Smhk2Vl4eXyckAAADgrmgWAICT+/rw1/r2t29t41HNR6lW2VomJgIAAIC7o1kAAE7sxMUTitkcYxu3qNxCAxsMNDERAAAASgKaBQDgpAzDUNTGKJ3PPC9J8vP0U3T7aHlY+KsbAAAAxYufOAHASS3et1jrj623jV9o+YKCA4NNTAQAAICSgmYBADihIylHNHPrTNu4Q3AH3VvnXhMTAQAAoCShWQAATiYnN0cR6yOUlp0mSSrjXUYT206UxWIxORkAAABKCpoFbmT16tVq2bKl/Pz8dNNNN2nmzJkyDOOy+x84cEAWi6XAn4YNG9r2SU9PV+vWrdWiRQt5enra9gkICLA71+LFi9WyZUsFBgaqevXqGjJkiE6cOGG3z8aNG9W5c2f5+fmpUqVKeuSRRwrsAziL4qinjIwMtW7d2q6WCqunp2c/rcVPLlb8iHj98swv8lvip9zzuXb7UE8AAAAoTp5mB4BjbNq0Sb169dL999+v6OhoxcbG6oUXXlB2drbGjRtX6DFxcXGSpDVr1sjPz882/+f/3r17t3JychQdHa3OnTvLarVKku1/JWnhwoUaMGCAhg8frpiYGCUmJioyMlJdunTRzz//LB8fH23ZskWdOnVS/fr19dFHH8nX11czZ85U27ZttX37dpUpU6YYvirA1Smuejp48KBycnL08ccfq06dOrb5P9fTv9/9t9587k2V61ROle6rpAZeDbTn0z3UEwAAAK4rmgVuIioqSs2aNdP8+fMlSbfffruysrI0depUjRo1Sr6+vgWOiYuLU3BwsLp06XLZ8+7YsUNWq1Vdu3ZVq1at7N7U5Jk6dap69uypuXPn2ubq1q2rNm3a6KuvvlKfPn0UExOjMmXKaO3atSpXrpwkqUuXLqpXr55eeuklxcTEFDgvYJbiqqd9+/bJarXqvvvus2si5MnKzdLEKRMV0DhA1QZXUwXfCvrsrs+UcHcC9QQAAIDriscQ3EBGRobWrVun3r1728336dNH58+fV2xsbKHHxcXFqWnTpn977h07dqhmzZoqVapUodtzc3PVrVs3DRs2zG6+Xr16ki79JlWS9u7dq7CwMNsbG+nSb1xbt26tlStX/m0G4HoqznpKSEhQzZo15e3tXej2eXHz5FnPU0GdgiRJk9pNUlmfstQTAAAArjuaBW7g0KFDyszMVGhoqN187dq1JV16g1KYuLg4nT9/Xu3atZOPj4+qVKmicePGKSsry24fq9WqJ598UqVLl1ZQUJCGDx+u8+cvfe67h4eHZs2apbvvvtvu3MuXL5ck3XzzzZKkChUq6LfffiuQ4eDBgzp06NDVvXCgGBRnPeXdWXD77bfL39/frp72nN6jd3e/q6oDqqp089K6r8596hDcQRL1BAAAgOuPZoEbOHfunCSpdOnSdvOBgYGSpJSUlALHnD59WseOHdMvv/yiESNGaNWqVRo2bJhmz56twYMHS5IMw9CuXbt09OhRdezYUV999ZXCw8O1YMEC9ezZU7m5uQXOK116w/Lcc8+padOm6tmzpyTpkUce0bZt2zR69Gj98ccfSkxM1NixYxUfH6+LFy866ksBXLPirKcDBw7o6NGjuuuuu/TNN9/Y6un2Hrdr/A/jlWPkSJKqBVTT8y2fl0Q9AQAAwBysWeAGLvemPY+HR8GekL+/v1avXq06deqoZs2akqSOHTvK29tbERERioiIUN26dfXFF18oKSlJISEhatq0qTp37qwqVapo4MCBWrVqlXr06GF33l9++UXdu3eXp6enlixZYrv20KFDlZKSohdffFGvvvqqLBaL+vTpo2HDhumDDz5wzBcCcIDiqqfatWtr1qxZKleunO677z5ZrVZ16NDBVk83tr5RgY0DZZFF0e2j5e/lTz0BAADANNxZ4AbyVj7PezQgT95vQAtbGd3X11fdunWzvbHJc8cdd0i6tFaBh4eHOnXqpJCQkMvu82fr1q1Tu3btJElr164tcNwzzzyjs2fPau/evTpx4oQWLVqk5ORkBQUFXcnLBYpVcdZTixYtCtRF1RZVJUnpv6dLkgY2GKiWVVpSTwAAADAVzQI3EBISIqvVqgMHDtjN543r169f4Jj9+/dr3rx5Sk5OtptPS0uTJFWsWFF//PGH3n33XSUmJl52nzwLFixQ9+7dFRwcrI0bN9oWZMuzdetWLVu2TF5eXqpXr57t2G3btql58+ZX8aqB4lGc9fTFF1/Y1dPFrIuK/jFakmQNtOqmMjfp6WZPU08AAAAwHc0CN+Dj46MOHTpo2bJlMgzDNr906VKVKVNGrVq1KnDM8ePHNWLECC1evNhu/vPPP1fp0qV1yy23KDs7WyNGjNDSpUsL7GO1WvWvf/1LkvT1119r0KBBateunWJjY1WtWrUC11u3bp0efPBBuzdT3377rfbs2aN77rnnGl494FjFWU8xMTF29fTyTy/rl+9+kTyk0vVKa2rYVH23+jvqCQAAAKZjzQI3ERERoVtvvVX9+vXTI488og0bNujll1/W9OnT5efnp5SUFMXHxyskJEQVK1ZUWFiYunbtqmeffVZpaWlq0KCBVq5cqTlz5uiVV15R2bJlVbZsWQ0ePFjz589X6dKllZSUpI0bN2rq1KkaOXKkQkNDlZ6erqFDhyowMFDh4eGKj4+3yxUcHKzg4GANHDhQ06ZNU79+/fT888/r999/1zPPPKP27dtr4MCBJn3VgMIVRz0FBgaqd+/e+uSTT1SzZk2VDi2ttz5/S6e+OqXyXcvryW5PqnZAbXUf2p16AgAAgPkMmCY+Pt7YunWrER8f75DzLVu2zGjUqJFRqlQp46abbjJmzpxp27Z27VpDkvHBBx/Y5s6dO2c888wzRs2aNQ1vb2+jQYMGxjvvvGPbnp2TbSRfSDbGRo41bgq5yfD29jZqhdQypk6bauTk5BiGYRhr1qwxJF32T1RUlO18W7duNTp06GAEBAQYwcHBxqhRo4yUlBSHvHbA0RxZT9k52UZaVprxe9Lvxujxo42QOiGGt7e3UaF6BaPmgJpGn+V9jMzsTOoJKKLs7Gxj69atxtatW43s7Gyz4wAui1oCHMPVaqmo70MthvGn+2xxXe3du1epqany8/Mr9DloM6Vnpyv2WKze2/2edp/ebZtvVKGRHmn4iMKqhcnH08fEhIBr+LtaGlh/oJpVbqaM7AzVLFPTvJCAi8nJyVFcXJwkqWnTprJareYGAlwUtQQ4hqvVUlHfh7JmAQpIz07XnG1zNGbdGLs3N5K06/QujVk3RnO2zVF6drpJCQHX8E+1NPbHsfp4z8eq4l/FpIQAAABA4WgWwE5Obo5ij8Vq/t75f7vf/L3zFXssVjm5OdcpGeBailpLn+z9hFoCAACA02GBQ9jJys3Se7vfK9K+7+9+X7dUvkXzds5TrpFbzMkA1+Fh8dCIxiOuqJbCqoXJ6uHct6wBAACg5KBZADsXsy4WuF36cnad3qWLWRe1/eR2xSfF//MBQAnRoHwDXci6cMW1xDogAAAAcBZO2Sw4fPiw3njjDf38889KSkpSlSpV1KNHDw0bNkz+/v5FPs+RI0d06623/u0+GzduVFBQkG08Z84cvfHGG5fdv1OnTpo3b16RM7ialMyUK9o/OSNZAV4BxZQGcE0BXgE6m3H2io45n3le5X3LF1MiAAAA4Mo4XbNg586devjhh5WamqomTZqoUaNG2rZtm+bOnavvvvtOn332mQIDA4t0rj179kiSateufdlVHr29vQs9pnPnzgoIKPgmuEGDBlfyclxO6VKlr2j/Cr4V1DG4o+oF1SumRIDrqexXWRV9K17RMYGlivb3GgAAAHA9OFWzICsrS6NHj1ZqaqqmT5+u3r17S5LS09M1ZswYfffdd5o1a5YmTpxYpPPlvfEfNGiQ+vfvX+RjrFarZs+eLV9f36t6Ha7M38tfDSs0LNLt040qNFJZ77J66OaHrkMywLWkZ6dfUS35exX9rikAAACguDnVpyGsXLlSx44dU/v27W2NAkny8fHR1KlT5efnpyVLliglpWi3ysfHX3qOvmHDhkXa/+TJkzp16pRCQkJKZKNAkrw8vPRow0eLtO8jDR+Rl4dXMScCXBO1BAAAAFfmVM2CtWvXSpK6d+9eYFu5cuXUunVrZWVlKTY2tkjn27Nnj7y8vBQaGlrk/aWiNxfckdXDqrBqYRpUf9Df7jeo/iBWbwf+BrUEAAAAV+ZUjyHs27dPklS3bt1Ct9epU0dr165VQkKCevbs+bfn+uOPP3T27FnVqVNHn3/+ub744gsdPnxYpUqVUosWLTRixAg1atTI7pi8ZkHp0qUVGRmpTZs2KTExUVWqVNFtt92m4cOHF3m9hCthGIZycpznM9a9LF56uvnTal65ud7f/b52nd5l29a4QmMNaThEYdXC5GXxcqrcgLOhloDi8ed6oXaAq0ctAY7harVkGEaR9rMYRd3zOmjevLkuXryotWvX6oYbbii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      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Mean Average Precision:\\nwithout reranker : \", results.mean_map_metric, \"\\nwith reranker : \", results_reranker.mean_map_metric, \"\\nQuivr : \", results_quivr.mean_map_metric)\n",
    "plot_mean_recall([results_reranker.mean_recall, results.mean_recall, results_quivr.mean_recall], labels=[\"llama index with Reranker\", \"llama index without Reranker\", \"Quivr Brain\"])\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "judge-SByZTvc6-py3.12",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}