diff --git "a/notebooks/00d_Data Analysis_Fine_Tuned_RPP.ipynb" "b/notebooks/00d_Data Analysis_Fine_Tuned_RPP.ipynb"
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+{"cells":[{"cell_type":"code","execution_count":92,"metadata":{"executionInfo":{"elapsed":476,"status":"ok","timestamp":1720679526275,"user":{"displayName":"HUANG DONGHAO _","userId":"00977795705617022768"},"user_tz":-480},"id":"uWKRSV6eZsCn"},"outputs":[{"name":"stdout","output_type":"stream","text":["The autoreload extension is already loaded. To reload it, use:\n","  %reload_ext autoreload\n"]}],"source":["%load_ext autoreload\n","%autoreload 2"]},{"cell_type":"code","execution_count":93,"metadata":{"application/vnd.databricks.v1+cell":{"cellMetadata":{"byteLimit":2048000,"rowLimit":10000},"inputWidgets":{},"nuid":"6d394937-6c99-4a7c-9d32-7600a280032f","showTitle":false,"title":""},"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":5,"status":"ok","timestamp":1720679529345,"user":{"displayName":"HUANG DONGHAO _","userId":"00977795705617022768"},"user_tz":-480},"id":"G5pNu3zgZBrL","outputId":"160a554f-fb08-4aa0-bc00-0422fb7c1fac"},"outputs":[{"name":"stdout","output_type":"stream","text":["workding dir: /Users/inflaton/code/engd/papers/rapget-translation\n"]}],"source":["import os\n","import sys\n","from pathlib import Path\n","\n","# check if workding_dir is in local variables\n","if \"workding_dir\" not in locals():\n","    workding_dir = str(Path.cwd().parent)\n","\n","os.chdir(workding_dir)\n","sys.path.append(workding_dir)\n","print(\"workding dir:\", workding_dir)"]},{"cell_type":"code","execution_count":94,"metadata":{"application/vnd.databricks.v1+cell":{"cellMetadata":{"byteLimit":2048000,"rowLimit":10000},"inputWidgets":{},"nuid":"9f67ec60-2f24-411c-84eb-0dd664b44775","showTitle":false,"title":""},"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1720679529345,"user":{"displayName":"HUANG DONGHAO _","userId":"00977795705617022768"},"user_tz":-480},"id":"hPCC-6m7ZBrM","outputId":"c7aa2c96-5e99-440a-c148-201d79465ff9"},"outputs":[{"name":"stdout","output_type":"stream","text":["loading env vars from: /Users/inflaton/code/engd/papers/rapget-translation/.env\n"]},{"data":{"text/plain":["True"]},"execution_count":94,"metadata":{},"output_type":"execute_result"}],"source":["from dotenv import find_dotenv, load_dotenv\n","\n","found_dotenv = find_dotenv(\".env\")\n","\n","if len(found_dotenv) == 0:\n","    found_dotenv = find_dotenv(\".env.example\")\n","print(f\"loading env vars from: {found_dotenv}\")\n","load_dotenv(found_dotenv, override=True)"]},{"cell_type":"code","execution_count":95,"metadata":{"application/vnd.databricks.v1+cell":{"cellMetadata":{"byteLimit":2048000,"rowLimit":10000},"inputWidgets":{},"nuid":"f1597656-8042-4878-9d3b-9ebfb8dd86dc","showTitle":false,"title":""},"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1720679529345,"user":{"displayName":"HUANG DONGHAO _","userId":"00977795705617022768"},"user_tz":-480},"id":"1M3IraVtZBrM","outputId":"29ab35f6-2970-4ade-d85d-3174acf8cda0"},"outputs":[{"name":"stdout","output_type":"stream","text":["Qwen/Qwen2-7B-Instruct None False datasets/mac/mac.tsv results/mac-results_fine_tuned.csv False 300\n"]}],"source":["import os\n","\n","model_name = os.getenv(\"MODEL_NAME\")\n","adapter_name_or_path = os.getenv(\"ADAPTER_NAME_OR_PATH\")\n","load_in_4bit = os.getenv(\"LOAD_IN_4BIT\") == \"true\"\n","data_path = os.getenv(\"DATA_PATH\")\n","results_path = \"results/mac-results_fine_tuned.csv\"  # os.getenv(\"RESULTS_PATH\")\n","use_english_datasets = os.getenv(\"USE_ENGLISH_DATASETS\") == \"true\"\n","max_new_tokens = int(os.getenv(\"MAX_NEW_TOKENS\", 2048))\n","\n","print(model_name, adapter_name_or_path, load_in_4bit, data_path, results_path, use_english_datasets, max_new_tokens)"]},{"cell_type":"code","execution_count":96,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 1133 entries, 0 to 1132\n","Data columns (total 32 columns):\n"," #   Column                                                Non-Null Count  Dtype \n","---  ------                                                --------------  ----- \n"," 0   chinese                                               1133 non-null   object\n"," 1   english                                               1133 non-null   object\n"," 2   internlm/internlm2_5-7b-chat/epochs-01                1133 non-null   object\n"," 3   Qwen/Qwen2-7B-Instruct/epochs-01                      1133 non-null   object\n"," 4   shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-01   1133 non-null   object\n"," 5   shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-01       1133 non-null   object\n"," 6   internlm/internlm2_5-7b-chat/epochs-02                1133 non-null   object\n"," 7   internlm/internlm2_5-7b-chat/epochs-03                1133 non-null   object\n"," 8   internlm/internlm2_5-7b-chat/epochs-04                1133 non-null   object\n"," 9   internlm/internlm2_5-7b-chat/epochs-05                1133 non-null   object\n"," 10  internlm/internlm2_5-7b-chat/epochs-06                1133 non-null   object\n"," 11  Qwen/Qwen2-7B-Instruct/epochs-02                      1133 non-null   object\n"," 12  Qwen/Qwen2-7B-Instruct/epochs-03                      1133 non-null   object\n"," 13  Qwen/Qwen2-7B-Instruct/epochs-04                      1133 non-null   object\n"," 14  Qwen/Qwen2-7B-Instruct/epochs-05                      1133 non-null   object\n"," 15  Qwen/Qwen2-7B-Instruct/epochs-06                      1133 non-null   object\n"," 16  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-02   1133 non-null   object\n"," 17  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-03   1133 non-null   object\n"," 18  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-04   1133 non-null   object\n"," 19  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-05   1133 non-null   object\n"," 20  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-06   1133 non-null   object\n"," 21  shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-02       1133 non-null   object\n"," 22  shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-03       1133 non-null   object\n"," 23  shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-04       1133 non-null   object\n"," 24  shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-05       1133 non-null   object\n"," 25  shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-06       1133 non-null   object\n"," 26  internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00  1133 non-null   object\n"," 27  internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.02  1133 non-null   object\n"," 28  internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.04  1133 non-null   object\n"," 29  internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06  1133 non-null   object\n"," 30  internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08  1133 non-null   object\n"," 31  internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10  1133 non-null   object\n","dtypes: object(32)\n","memory usage: 283.4+ KB\n"]}],"source":["import pandas as pd\n","from llm_toolkit.llm_utils import *\n","from llm_toolkit.translation_utils import *\n","\n","df = pd.read_csv(results_path)\n","df.info()"]},{"cell_type":"code","execution_count":97,"metadata":{},"outputs":[{"data":{"text/plain":["['internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00',\n"," 'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.02',\n"," 'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.04',\n"," 'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06',\n"," 'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08',\n"," 'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10']"]},"execution_count":97,"metadata":{},"output_type":"execute_result"}],"source":["result_columns = [col for col in df.columns[2:].to_list() if \"rpp\" in col]\n","result_columns.sort()\n","result_columns"]},{"cell_type":"code","execution_count":98,"metadata":{},"outputs":[{"data":{"text/plain":["(['internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00',\n","  'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.02',\n","  'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.04',\n","  'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06',\n","  'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08',\n","  'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10'],\n"," ['chinese',\n","  'english',\n","  'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00',\n","  'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.02',\n","  'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.04',\n","  'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06',\n","  'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08',\n","  'internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10'])"]},"execution_count":98,"metadata":{},"output_type":"execute_result"}],"source":["columns = df.columns[:2].to_list() + result_columns\n","df = df[columns]\n","columns = df.columns.to_list()\n","result_columns = df.columns[2:].to_list()\n","result_columns, columns"]},{"cell_type":"code","execution_count":99,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 1133 entries, 0 to 1132\n","Data columns (total 8 columns):\n"," #   Column                                                Non-Null Count  Dtype \n","---  ------                                                --------------  ----- \n"," 0   chinese                                               1133 non-null   object\n"," 1   english                                               1133 non-null   object\n"," 2   internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00  1133 non-null   object\n"," 3   internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.02  1133 non-null   object\n"," 4   internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.04  1133 non-null   object\n"," 5   internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06  1133 non-null   object\n"," 6   internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08  1133 non-null   object\n"," 7   internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10  1133 non-null   object\n","dtypes: object(8)\n","memory usage: 70.9+ KB\n"]}],"source":["df.info()"]},{"cell_type":"code","execution_count":100,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["['internlm/internlm2_5-7b-chat']\n","internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00: {'meteor': 0.4154012641245894, 'bleu_scores': {'bleu': 0.14309137236355685, 'precisions': [0.4973887375113533, 0.21319837096200228, 0.1108075665383501, 0.06309435928611751], 'brevity_penalty': 0.867168519957502, 'length_ratio': 0.875256707519046, 'translation_length': 26424, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.45963264129552006, 'rouge2': 0.21811689239370904, 'rougeL': 0.4066285770868837, 'rougeLsum': 0.4062445710605465}, 'accuracy': 0.01059135039717564, 'correct_ids': [41, 77, 240, 309, 348, 533, 658, 659, 712, 778, 893, 1011]}\n","internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.02: {'meteor': 0.41563517521112475, 'bleu_scores': {'bleu': 0.142638385938671, 'precisions': [0.5002695417789758, 0.2158473245561058, 0.11347338226609298, 0.06471187491695088], 'brevity_penalty': 0.8500201815718359, 'length_ratio': 0.8602186154355747, 'translation_length': 25970, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.45709618559076026, 'rouge2': 0.21722625563573944, 'rougeL': 0.4044234835305055, 'rougeLsum': 0.40465390503660625}, 'accuracy': 0.01323918799646955, 'correct_ids': [41, 77, 170, 240, 309, 348, 444, 533, 534, 658, 659, 712, 778, 893, 1011]}\n","internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.04: {'meteor': 0.4091204042960474, 'bleu_scores': {'bleu': 0.13266369949649023, 'precisions': [0.4913836308261691, 0.2048294767394985, 0.10344244984160507, 0.057305065200035483], 'brevity_penalty': 0.8488400587341308, 'length_ratio': 0.8591917853593906, 'translation_length': 25939, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.4506884218373085, 'rouge2': 0.20793373320841868, 'rougeL': 0.39590655546961984, 'rougeLsum': 0.39574522917942817}, 'accuracy': 0.01147396293027361, 'correct_ids': [170, 240, 309, 348, 467, 533, 534, 658, 659, 712, 778, 893, 1011]}\n","internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06: {'meteor': 0.39668719472423114, 'bleu_scores': {'bleu': 0.12484963487537196, 'precisions': [0.47779497098646034, 0.19221588380466886, 0.09683300122949082, 0.05347522151476023], 'brevity_penalty': 0.8454454060167541, 'length_ratio': 0.8562437893342166, 'translation_length': 25850, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.4361255228942328, 'rouge2': 0.19639281054437369, 'rougeL': 0.3802209613258828, 'rougeLsum': 0.37989512210046}, 'accuracy': 0.01147396293027361, 'correct_ids': [170, 240, 309, 348, 467, 533, 534, 658, 659, 712, 778, 893, 1011]}\n","internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08: {'meteor': 0.38098574108623134, 'bleu_scores': {'bleu': 0.11247861668674476, 'precisions': [0.4559300683284346, 0.1747127353973827, 0.08331244255034678, 0.04437428746821012], 'brevity_penalty': 0.8586258357781434, 'length_ratio': 0.8677376614773104, 'translation_length': 26197, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.4189816765480264, 'rouge2': 0.17902619183749477, 'rougeL': 0.36405616506860516, 'rougeLsum': 0.3639707912693654}, 'accuracy': 0.009708737864077669, 'correct_ids': [170, 240, 309, 348, 467, 533, 534, 658, 659, 712, 778]}\n","internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10: {'meteor': 0.3650187980362992, 'bleu_scores': {'bleu': 0.09961847338588378, 'precisions': [0.4301199865435652, 0.1539422326307572, 0.06998775010208248, 0.035527780155808576], 'brevity_penalty': 0.8794385616155197, 'length_ratio': 0.886154355746936, 'translation_length': 26753, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.4036132611930824, 'rouge2': 0.1659819719524877, 'rougeL': 0.3483673077057786, 'rougeLsum': 0.3484220702771067}, 'accuracy': 0.00706090026478376, 'correct_ids': [170, 240, 309, 348, 533, 658, 659, 1011]}\n"]},{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>model</th>\n","      <th>rpp</th>\n","      <th>meteor</th>\n","      <th>bleu_1</th>\n","      <th>rouge_l</th>\n","      <th>ews_score</th>\n","      <th>repetition_score</th>\n","      <th>total_repetitions</th>\n","      <th>rap</th>\n","      <th>num_max_output_tokens</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>1.00</td>\n","      <td>0.415401</td>\n","      <td>0.143091</td>\n","      <td>0.406629</td>\n","      <td>0.0</td>\n","      <td>0.856134</td>\n","      <td>0.856134</td>\n","      <td>0.401092</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>1.02</td>\n","      <td>0.415635</td>\n","      <td>0.142638</td>\n","      <td>0.404423</td>\n","      <td>0.0</td>\n","      <td>1.220653</td>\n","      <td>1.220653</td>\n","      <td>0.395836</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>1.04</td>\n","      <td>0.409120</td>\n","      <td>0.132664</td>\n","      <td>0.395907</td>\n","      <td>0.0</td>\n","      <td>0.853486</td>\n","      <td>0.853486</td>\n","      <td>0.395068</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>1.06</td>\n","      <td>0.396687</td>\n","      <td>0.124850</td>\n","      <td>0.380221</td>\n","      <td>0.0</td>\n","      <td>0.840247</td>\n","      <td>0.840247</td>\n","      <td>0.383258</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>1.08</td>\n","      <td>0.380986</td>\n","      <td>0.112479</td>\n","      <td>0.364056</td>\n","      <td>0.0</td>\n","      <td>0.857017</td>\n","      <td>0.857017</td>\n","      <td>0.367850</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>1.10</td>\n","      <td>0.365019</td>\n","      <td>0.099618</td>\n","      <td>0.348367</td>\n","      <td>0.0</td>\n","      <td>0.834951</td>\n","      <td>0.834951</td>\n","      <td>0.352734</td>\n","      <td>1</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                          model   rpp    meteor    bleu_1   rouge_l  \\\n","0  internlm/internlm2_5-7b-chat  1.00  0.415401  0.143091  0.406629   \n","1  internlm/internlm2_5-7b-chat  1.02  0.415635  0.142638  0.404423   \n","2  internlm/internlm2_5-7b-chat  1.04  0.409120  0.132664  0.395907   \n","3  internlm/internlm2_5-7b-chat  1.06  0.396687  0.124850  0.380221   \n","4  internlm/internlm2_5-7b-chat  1.08  0.380986  0.112479  0.364056   \n","5  internlm/internlm2_5-7b-chat  1.10  0.365019  0.099618  0.348367   \n","\n","   ews_score  repetition_score  total_repetitions       rap  \\\n","0        0.0          0.856134           0.856134  0.401092   \n","1        0.0          1.220653           1.220653  0.395836   \n","2        0.0          0.853486           0.853486  0.395068   \n","3        0.0          0.840247           0.840247  0.383258   \n","4        0.0          0.857017           0.857017  0.367850   \n","5        0.0          0.834951           0.834951  0.352734   \n","\n","   num_max_output_tokens  \n","0                      1  \n","1                      1  \n","2                      1  \n","3                      1  \n","4                      1  \n","5                      1  "]},"execution_count":100,"metadata":{},"output_type":"execute_result"}],"source":["variant = \"rpp\"\n","metrics_df = get_metrics(df, max_output_tokens=max_new_tokens, variant=variant)\n","metrics_df"]},{"cell_type":"code","execution_count":104,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["loading /Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py\n"]},{"name":"stderr","output_type":"stream","text":["[nltk_data] Downloading package wordnet to\n","[nltk_data]     /Users/inflaton/nltk_data...\n","[nltk_data]   Package wordnet is already up-to-date!\n","[nltk_data] Downloading package punkt to /Users/inflaton/nltk_data...\n","[nltk_data]   Package punkt is already up-to-date!\n","[nltk_data] Downloading package omw-1.4 to\n","[nltk_data]     /Users/inflaton/nltk_data...\n","[nltk_data]   Package omw-1.4 is already up-to-date!\n"]},{"name":"stdout","output_type":"stream","text":["Loading content of logs/l40-1gpu-epoch-1.txt\n","Loading content of logs/l40-1gpu-fine-tuned.txt\n","Loading content of logs/l40-1gpu-rpp.txt\n","Loading content of logs/l40-1gpu.txt\n","Error processing log file: logs/l40-1gpu.txt\n","'utf-8' codec can't decode byte 0xe2 in position 0: unexpected end of data\n","Loading content of logs/l40-4gpu-2.txt\n","Loading content of logs/l40-4gpu-3.txt\n","Loading content of logs/l40-4gpu.txt\n","Loading content of logs/openai-gpt-4o-mini.txt\n","Loading content of logs/openai-gpt-4o.txt\n"]},{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>model</th>\n","      <th>rpp</th>\n","      <th>eval_time</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>1.00</td>\n","      <td>2.884378</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>1.02</td>\n","      <td>2.895852</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>1.04</td>\n","      <td>2.893204</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>1.06</td>\n","      <td>2.901147</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>1.08</td>\n","      <td>2.933804</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>1.10</td>\n","      <td>2.986761</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                          model   rpp  eval_time\n","0  internlm/internlm2_5-7b-chat  1.00   2.884378\n","1  internlm/internlm2_5-7b-chat  1.02   2.895852\n","2  internlm/internlm2_5-7b-chat  1.04   2.893204\n","3  internlm/internlm2_5-7b-chat  1.06   2.901147\n","4  internlm/internlm2_5-7b-chat  1.08   2.933804\n","5  internlm/internlm2_5-7b-chat  1.10   2.986761"]},"execution_count":104,"metadata":{},"output_type":"execute_result"}],"source":["time_df = load_eval_times(\"logs\", total_entries=len(df), variant=variant)\n","time_df"]},{"cell_type":"code","execution_count":105,"metadata":{},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>model</th>\n","      <th>rpp</th>\n","      <th>meteor</th>\n","      <th>bleu_1</th>\n","      <th>rouge_l</th>\n","      <th>ews_score</th>\n","      <th>repetition_score</th>\n","      <th>total_repetitions</th>\n","      <th>rap</th>\n","      <th>num_max_output_tokens</th>\n","      <th>eval_time</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>1.00</td>\n","      <td>0.415401</td>\n","      <td>0.143091</td>\n","      <td>0.406629</td>\n","      <td>0.0</td>\n","      <td>0.856134</td>\n","      <td>0.856134</td>\n","      <td>0.401092</td>\n","      <td>1</td>\n","      <td>2.884378</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>1.02</td>\n","      <td>0.415635</td>\n","      <td>0.142638</td>\n","      <td>0.404423</td>\n","      <td>0.0</td>\n","      <td>1.220653</td>\n","      <td>1.220653</td>\n","      <td>0.395836</td>\n","      <td>1</td>\n","      <td>2.895852</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>1.04</td>\n","      <td>0.409120</td>\n","      <td>0.132664</td>\n","      <td>0.395907</td>\n","      <td>0.0</td>\n","      <td>0.853486</td>\n","      <td>0.853486</td>\n","      <td>0.395068</td>\n","      <td>1</td>\n","      <td>2.893204</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>1.06</td>\n","      <td>0.396687</td>\n","      <td>0.124850</td>\n","      <td>0.380221</td>\n","      <td>0.0</td>\n","      <td>0.840247</td>\n","      <td>0.840247</td>\n","      <td>0.383258</td>\n","      <td>1</td>\n","      <td>2.901147</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>1.08</td>\n","      <td>0.380986</td>\n","      <td>0.112479</td>\n","      <td>0.364056</td>\n","      <td>0.0</td>\n","      <td>0.857017</td>\n","      <td>0.857017</td>\n","      <td>0.367850</td>\n","      <td>1</td>\n","      <td>2.933804</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>1.10</td>\n","      <td>0.365019</td>\n","      <td>0.099618</td>\n","      <td>0.348367</td>\n","      <td>0.0</td>\n","      <td>0.834951</td>\n","      <td>0.834951</td>\n","      <td>0.352734</td>\n","      <td>1</td>\n","      <td>2.986761</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                          model   rpp    meteor    bleu_1   rouge_l  \\\n","0  internlm/internlm2_5-7b-chat  1.00  0.415401  0.143091  0.406629   \n","1  internlm/internlm2_5-7b-chat  1.02  0.415635  0.142638  0.404423   \n","2  internlm/internlm2_5-7b-chat  1.04  0.409120  0.132664  0.395907   \n","3  internlm/internlm2_5-7b-chat  1.06  0.396687  0.124850  0.380221   \n","4  internlm/internlm2_5-7b-chat  1.08  0.380986  0.112479  0.364056   \n","5  internlm/internlm2_5-7b-chat  1.10  0.365019  0.099618  0.348367   \n","\n","   ews_score  repetition_score  total_repetitions       rap  \\\n","0        0.0          0.856134           0.856134  0.401092   \n","1        0.0          1.220653           1.220653  0.395836   \n","2        0.0          0.853486           0.853486  0.395068   \n","3        0.0          0.840247           0.840247  0.383258   \n","4        0.0          0.857017           0.857017  0.367850   \n","5        0.0          0.834951           0.834951  0.352734   \n","\n","   num_max_output_tokens  eval_time  \n","0                      1   2.884378  \n","1                      1   2.895852  \n","2                      1   2.893204  \n","3                      1   2.901147  \n","4                      1   2.933804  \n","5                      1   2.986761  "]},"execution_count":105,"metadata":{},"output_type":"execute_result"}],"source":["# Merge time_df into metrics_df\n","metrics_df.drop(columns=[\"eval_time\"], inplace=True, errors=\"ignore\")\n","metrics_df = pd.merge(metrics_df, time_df, on=[\"model\", variant], how=\"left\")\n","metrics_df"]},{"cell_type":"code","execution_count":106,"metadata":{},"outputs":[{"data":{"text/plain":["array(['internlm/internlm2_5-7b-chat'], dtype=object)"]},"execution_count":106,"metadata":{},"output_type":"execute_result"}],"source":["models = metrics_df[\"model\"].unique()\n","models"]},{"cell_type":"code","execution_count":107,"metadata":{},"outputs":[],"source":["# list of markers for plotting\n","markers = [\"o\", \"x\", \"^\", \"s\", \"d\", \"P\", \"X\", \"*\", \"v\", \">\", \"<\", \"p\", \"h\", \"H\", \"+\", \"|\", \"_\"]\n","markers = {model: marker for model, marker in zip(models, markers)}"]},{"cell_type":"code","execution_count":108,"metadata":{},"outputs":[],"source":["model_orders = {\n","    \"internlm/internlm2_5-7b-chat\": 10,\n","    \"Qwen/Qwen2-7B-Instruct\": 20,\n","    \"shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat\": 30,\n","    \"shenzhi-wang/Llama3.1-8B-Chinese-Chat\": 40,\n","    \"shenzhi-wang/Llama3.1-70B-Chinese-Chat\": 50,\n","    \"Qwen/Qwen2-72B-Instruct\": 60,\n","    \"gpt-4o-mini\": 99,\n","    \"gpt-4o\": 100,\n","}"]},{"cell_type":"code","execution_count":109,"metadata":{},"outputs":[],"source":["# plot mtr vs rpp\n","import matplotlib.pyplot as plt\n","import matplotlib.ticker as ticker\n","\n","\n","def plot_metrics_vs_rpp(metrics_df, models, markers, columns, titles, log_scales=[False, False], sync_y_axis=False):\n","    fig, ax = plt.subplots(figsize=(10, 6))\n","    # set grid\n","    ax.grid(True)\n","    ax.set_axisbelow(True)\n","    ax.minorticks_on()\n","    ax.grid(which=\"major\", linestyle=\"-\", linewidth=\"0.5\", color=\"red\")\n","\n","    # Create a mapping from original x-values to new, evenly spaced x-values\n","    original_x_values = sorted(metrics_df[variant].unique())\n","    new_x_values = range(len(original_x_values))\n","    x_mapping = dict(zip(original_x_values, new_x_values))\n","\n","    if len(columns) > 1:\n","        twin = ax.twinx()\n","\n","    for model in models:\n","        model_df = metrics_df[metrics_df[\"model\"] == model]\n","        transformed_x = [x_mapping[x] for x in model_df[variant]]\n","        for i, column in enumerate(columns):\n","            current_ax =  twin if i > 0 else ax\n","            current_ax.plot(\n","                transformed_x,\n","                model_df[column],\n","                label=model + f\" [{titles[i]}]\" if titles else \"\",\n","                marker=markers[model],\n","                linestyle=\"--\" if i > 0 else \"-\",\n","            )\n","            current_ax.set_ylabel(titles[i])\n","            if log_scales[i]:\n","                current_ax.set_yscale(\"log\")\n","\n","    if sync_y_axis:\n","        ax.set_ylim(\n","            min(ax.get_ylim()[0], twin.get_ylim()[0]),\n","            max(ax.get_ylim()[1], twin.get_ylim()[1]),\n","        )\n","        twin.set_ylim(ax.get_ylim())\n","\n","    # Set the x-axis ticks to be evenly spaced\n","    ax.xaxis.set_major_locator(ticker.FixedLocator(new_x_values))\n","\n","    # Set custom labels for the ticks\n","    ax.xaxis.set_major_formatter(ticker.FixedFormatter(original_x_values))\n","\n","    # ax.set_ylim(0, 1)\n","    ax.set_xlabel(\"Epoch (0: Base, 1-6: Fine-tuned)\")\n","    handles, labels = ax.get_legend_handles_labels()\n","\n","    if len(columns) > 1:\n","        handles_twin, labels_twin = twin.get_legend_handles_labels()\n","        handles += handles_twin\n","        labels += labels_twin\n","\n","    # Sort the handles and labels by labels\n","    sorted_handles_labels = sorted(zip(labels, handles), key=lambda x: model_orders[x[0].split(\" \")[0]])\n","    sorted_labels, sorted_handles = zip(*sorted_handles_labels)\n","\n","    # Create a combined legend\n","    ax.legend(\n","        sorted_handles,\n","        sorted_labels,\n","        loc=\"lower center\",\n","        bbox_to_anchor=(0.5, -0.5 if len(columns) > 1 else -0.32),\n","    )\n","\n","    plt.show()"]},{"cell_type":"code","execution_count":110,"metadata":{},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1000x600 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["plot_metrics_vs_rpp(\n","    metrics_df,\n","    models,\n","    markers,\n","    [\"meteor\", \"rap\"],\n","    [\"METEOR\", \"RAP-METEOR\"],\n","    sync_y_axis=True,\n",")"]},{"cell_type":"code","execution_count":111,"metadata":{},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1000x600 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["plot_metrics_vs_rpp(\n","    metrics_df,\n","    models,\n","    markers,\n","    [\"meteor\"],\n","    [\"METEOR\"],\n",")"]},{"cell_type":"code","execution_count":112,"metadata":{},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1000x600 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["plot_metrics_vs_rpp(\n","    metrics_df,\n","    models,\n","    markers,\n","    [\"eval_time\"],\n","    [\"Mean Inference Time (seconds)\"],\n",")"]},{"cell_type":"code","execution_count":113,"metadata":{},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1000x600 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["plot_metrics_vs_rpp(\n","    metrics_df,\n","    models,\n","    markers,\n","    [\"meteor\", \"eval_time\"],\n","    [\"METEOR\", \"Mean Inference Time (seconds)\"],\n",")"]},{"cell_type":"code","execution_count":114,"metadata":{},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1000x600 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["plot_metrics_vs_rpp(\n","    metrics_df,\n","    models,\n","    markers,\n","    [\"rouge_l\", \"bleu_1\"],\n","    [\"Rourge-L\", \"BLUE-1\"],\n",")"]},{"cell_type":"code","execution_count":115,"metadata":{},"outputs":[{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAA5MAAALCCAYAAABDSodvAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/TGe4hAAAACXBIWXMAAA9hAAAPYQGoP6dpAADv3klEQVR4nOzdeVjU1f4H8PfMsCur7IiC4obIoqbhiqm5JdBqq2arXbyp3DIt07R7M+26ZVO2KVm/Mm8Z4JKKC5q5kMqgiLiSCAw7sq8z8/sDZ5IAnRkGvgO8X88zz9N858yZ99CXcT6c8z1HpFKpVCAiIiIiIiLSgVjoAERERERERNT+sJgkIiIiIiIinbGYJCIiIiIiIp2xmCQiIiIiIiKdsZgkIiIiIiIinbGYJCIiIiIiIp2xmCQiIiIiIiKdsZgkIiIiIiIinZkIHcAY1dXVITExES4uLhCLWW8TEREREXVWSqUSOTk5CAoKgokJy6c78afRhMTERAwbNkzoGEREREREZCQSEhJw3333CR3DqLCYbIKLiwuA+hPGzc1N4DQAZs8GtmwROgW1JzxnSFc8Z0hXPGdIVzxnSFdGcs7I5XIMGzZMUyPQX1hMNkE9tdXNzQ3du3cXOA0AS0vAGHJQ+8FzhnTFc4Z0xXOGdMVzhnRlZOcML39rjD8RIiIiIiIi0hmLSSIiIiIiItIZi0kiIiIiIiLSGYtJIiIiIiIi0hmLSSIiIiIiItIZi0kiIiIiIiLSGYtJIiIiIiIi0hmLSSIiIiIiItIZi8k7SKVS+Pr6IiQkROgoRERERERERo3F5B0iIiKQkpKC+Ph4oaMQEREREREZNRaTREREREREpDMWk0RERERERKQzFpNERERERESkMxaTRB2IQqnCiWsFiLHpjRPXCqBQqoSOREREREQdlInQAYjIMPYmy7F8ZwrkxVVA9wnAlyfhZmuBZdN9MdnPTeh4RERERNTBcGSSqAPYmyzHa9+drS8k75BdXIXXvjuLvclygZIRERERUUfFYpKonVMoVVi+MwVNTWhVH1u+M4VTXomIiIjIoFhMErVzCWmFjUYk76QCIC+uQkJaYduFIiIiIqIOj8UkUTuXW9p8IalPOyIiIiIibbCYvINUKoWvry9CQkKEjkKkNWdrC4O2IyIiIiLSBovJO0RERCAlJQXx8fFCRyHS2jBvB7jZWkDUzOMiAG62Fhjm7dCWsYiIiIiog2MxSdTOScQiLJvu2+QCPGrLpvtCIm6u3CQiIiIi0h2LSaIOYLKfGx4f0r3Jx9bNCOQ+k0RERERkcCwmiTqIyzmlAIDnR3hhQ8YBuNiYAwBEHJAkIiIiolbAYpKoA0jLL0dSRjEkYhHmPuCDsJJrmDHUEwAQI8sSOB0RERERdUQsJok6gOjETADA6D6OcOxaPyIZGugBADh6OQ+F5TWCZSMiIiKijonFJFE7p1KpECOrLybDbxeQAODj3BV+HjaoU6qw+7xcqHhERERE1EGxmCRq55IyivFnQQUsTSWY6OvS4LGwgPriMvZ2sUlEREREZCgsJonaOfUU1wcHuqCLuUmDxx4KcINIBPzxZxEyiiqEiEdEREREHRSLSaJ2rE6hxK5z9QvshAW6N3rczdYSw70dAAA7kzjVlYiIiIgMh8XkHaRSKXx9fRESEiJ0FCKtHL9WgPyyGjh0McPoPk5NtlFfRxnDqa5EREREZEAsJu8QERGBlJQUxMfHCx2FSCvRtwvEaYPcYCpp+td5ip8bTCUipGaXIjW7pC3jEREREVEHxmKSqJ2qrFFgX3I2ACA8qPEUVzVbK1OE9HMGAMRyz0kiIiIiMhAWk0Tt1IGLOSivUcDTwRKDe9jfta36esoYWRZUKlVbxCMiIiKiDo7FJFE7pb4GMizAAyKR6K5tx/d3QRczCTJvVeLMjaK2iEdEREREHRyLSaJ2qKi8BvGX8gDcfYqrmqWZBJP8XAHUj04SEREREbWUoMXk0aNHMX36dLi7u0MkEiE6Ovqu7Xfs2IGJEyfCyckJNjY2CA4Oxr59+xq1k0ql8PLygoWFBYYPH46EhIRWegdEwth9Xo46pQoD3W3g42yt1XPCbq/quvu8HLUKZWvGIyIiIqJOQNBisry8HAEBAZBKpVq1P3r0KCZOnIg9e/bgzJkzGDduHKZPn47ExERNmx9//BGRkZFYtmwZzp49i4CAAEyaNAm5ubmt9TaI2px6iqt62w9tjOzdDd26mKGwvAbHrua3VjQiIiIi6iRMhHzxKVOmYMqUKVq3X79+fYP7H3zwAWJiYrBz504EBQUBANauXYuXX34Zs2fPBgBs2rQJu3fvxubNm7Fo0SKDZScSSkZRBf74swgiETA94N5TXNVMJGI85O+Gb07cQKwsC+Nur/BKRERERKSPdn3NpFKpRGlpKRwcHAAANTU1OHPmDCZMmKBpIxaLMWHCBJw4caLZfqqrq1FSUqK5lZaWtnp2In3FJtVf83i/dze42lro9NywoPqRzH0XslFRU2fwbERERETUeQg6MtlS//3vf1FWVoYnnngCAJCfnw+FQgEXF5cG7VxcXJCamtpsPytXrsTy5csbPzB7NmBpadDMeklIAEJDhU5BRiKm12OARTeEH/sZ2PVB042aOWeCAHj6PIWbsMGBF95EaMm11g1L7Qc/Z0hXPGdIVzxnSFfGcs5UVgqdwGi122Ly+++/x/LlyxETEwNn55ZN11u8eDEiIyM19zMzM+Hr6wts2QJ0797SqC0XGgrExgqdgozARXkJLm34DWYSMSZ//gFgadp0w2bOGRGAsH2X8Mnhq4id+DRCZ93XuoGp/eDnDOmK5wzpiucM6cpYzpmMDMDTU+gURqldTnPdtm0bXnrpJWzfvr3BlFZHR0dIJBLk5OQ0aJ+TkwNXV9dm+zM3N4eNjY3mZm2t3eqYRG0t+vbCOw/0d4Ztc4XkPYQF1l9nGX8pD0XlNQbLRkRERESdS7srJn/44QfMnj0bP/zwA6ZNm9bgMTMzMwwZMgQHDx7UHFMqlTh48CCCg4PbOiqRQSmVKuy8vUekNntLNqePizUGuNmgTqnCnmS5oeIRERERUScjaDFZVlYGmUwGmUwGAEhLS4NMJkN6ejqA+umnM2fO1LT//vvvMXPmTKxZswbDhw9HdnY2srOzUVxcrGkTGRmJL7/8Et988w0uXryI1157DeXl5ZrVXYnaq4Q/C5FVXAVrCxOEtHAl1vDbo5Mxt4tTIiIiIiJdCVpMnj59GkFBQZptPSIjIxEUFISlS5cCAORyuaawBIAvvvgCdXV1iIiIgJubm+Y2b948TZsZM2bgv//9L5YuXYrAwEDIZDLs3bu30aI8RO2Nem/JqX5usDCVtKgv9ZYiCWmFyLrFi8qJiIiISHeCLsATEhIClUrV7ONRUVEN7sfHx2vV79y5czF37twWJCMyLtV1Cuw+Vz8lVX3NY0u421limLcDEtIKsTMpC6+O7d3iPomIiIioc2l310wSdUZHLuWhpKoOLjbmGN6rm0H6DONUVyIiIiJqARaTRO2AuuALDXCHRCwySJ9T/dxgKhEhRV6CKzmlBumTiIiIiDoPFpNERq60qhYHLtZvdxMW6GGwfu27mGFsXycAHJ0kIiIiIt2xmCQycnuTs1Fdp4SPc1cMdLcxaN+ht4vTmKTMu16/TERERET0dywm7yCVSuHr64uQkBChoxBpqEcNwwPdIRIZZoqr2oQBzrAyk+BmYSUSb94yaN9ERERE1LGxmLxDREQEUlJStF41lqi15ZZU4fi1fACGneKqZmVmggd967fNiUnMNHj/RERERNRxsZgkMmKxSVlQqoAhPe3h6WDVKq8RFlRfpO46J0edQtkqr0FEREREHQ+LSSIjpp7iaoi9JZszyscRDl3MUFBeg9+vFbTa6xARERFRx8JikshIXcsrw/nMYkjEIkwb5NZqr2MqEWv6j5FxqisRERERaYfFJJGRUo9KjunjiG5dzVv1tdQjn/uSs1FVq2jV1yIiIiLqyI4ePYrp06fD3b1+8cTo6Oh7Pic+Ph6DBw+Gubk5fHx8EBUV1WzbDz/8ECKRCPPnzzdYZn2xmCQyQiqVSjNKGB5k+IV3/m5wD3t42FmivEah2dOSiIiIiHRXXl6OgIAASKVSrdqnpaVh2rRpGDduHGQyGebPn4+XXnoJ+/bta9T2jz/+wOeffw5/f39Dx9YLi0kiIyS7eQs3CipgZSbBxNurrbYmsVikGZ1Uj4gSERERke6mTJmCf//733j44Ye1ar9p0yZ4e3tjzZo1GDBgAObOnYvHHnsM69ata9CurKwMzzzzDL788kvY29u3RnSdsZgkMkLqgu5BXxdYmZm0yWuqtx6Jv5SL4oraNnlNIiIiovaitLQUJSUlmlt1dbVB+j1x4gQmTJjQ4NikSZNw4sSJBsciIiIwbdq0Rm2FxGKSyMjUKZTYde72Kq5tMMVVrZ+rNfq7WqNWocKvyfI2e10iIiKi9sDX1xe2traa28qVKw3Sb3Z2NlxcGs5Ec3FxQUlJCSorKwEA27Ztw9mzZw32mobSNkMeRKS1Y1fzkV9Wg25dzDDax7FNXzs00B2pey8hWpaJJ4f1aNPXJiIiIjJmKSkp8PD46w/95uatu0Ci2s2bNzFv3jzExcXBwsKiTV5TWxyZvINUKoWvry9CQkKEjkKdmHqK60P+bjCRtO2vaGhA/XWTp9IKIS+ubNPXJiIiIjJm1tbWsLGx0dwMVUy6uroiJ6fhAog5OTmwsbGBpaUlzpw5g9zcXAwePBgmJiYwMTHBkSNH8PHHH8PExAQKhXAr8bOYvENERARSUlIQHx8vdBTqpCprFNh3IRsAEBrYdlNc1brbW+E+L3uoVMCuJE51JSIiImptwcHBOHjwYINjcXFxCA4OBgCMHz8e58+fh0wm09yGDh2KZ555BjKZDBKJRIjYAFhMEhmVuIs5qKhRoIeDFQb3sBMkg7qIjUnKFOT1iYiIiNqzsrIyTdEH1G/9IZPJkJ6eDgBYvHgxZs6cqWk/Z84cXL9+HQsXLkRqaio+/fRTbN++HQsWLABQPyLq5+fX4NalSxd069YNfn5+bf7+7sRiksiIxCTWF3BhgfWb3Aph2iA3mIhFSM4swdXcMkEyEBEREbVXp0+fRlBQEIKCggAAkZGRCAoKwtKlSwEAcrlcU1gCgLe3N3bv3o24uDgEBARgzZo1+OqrrzBp0iRB8uuCC/AQGYnC8hocuZwH4K9tOoTg0MUMo/s44vClPMTKMhH5YD/BshARERG1NyEhIVCpVM0+HhUV1eRzEhMTtX4NY7ksjyOTREZi93k56pQq+HnYwMe5q6BZwoPUU12z7vphSERERESdF4tJIiOhnuIaLuCopNqEAS6wNJXgRkEFkjKKhY5DREREREaIxSSREbhZWIHTN4ogEgHTb2/PIaQu5iaY6Fu/eW6MjAvxEBEREVFjLCaJjEBsUv3ekiN6d4OLjXFsRhsWWF/U7kySo06hFDgNERERERkbFpNEAlOpVIhWr+IaIPwUV7UxfZ1gb2WK/LJqnLheIHQcIiIiIjIyLCaJBHZRXooruWUwMxFj8iBXoeNomErEmDrIDQAQI8sSOA0RERERGRsWk3eQSqXw9fVFSEiI0FGoE1Ffkzi+vzNsLEwFTtOQeouSvcnZqKpVCJyGiIiIiIwJi8k7REREICUlxWj2baGOT6lUaa6XFHJvyeYM7WkPd1sLlFXX4XBqrtBxiIiIiMiIsJgkEtCptELIi6tgY2GCcf2dhI7TiFgswvTbC/FEc1VXIiIiog5BoVBAJpOhqKioRf2wmCQSkHqK69RBbjA3kQicpmnqfS8Pp+ahuLJW4DREREREpKv58+fj66+/BlBfSI4dOxaDBw+Gp6dni2ZlspgkEkh1nQJ7zssBGOcUV7X+rtbo69IVNQol9iVnCx2HiIiIiHT0008/ISAgAACwc+dOpKWlITU1FQsWLMA777yjd78sJokEcjg1DyVVdXC1scBwbweh4zRLJBJpit2YJE51JSIiImpv8vPz4epav2vAnj178Pjjj6Nv37544YUXcP78eb37ZTFJJBD1FNfQQHeIxSKB09xdaED9dZPHrxUgp6RK4DREREREpAsXFxekpKRAoVBg7969mDhxIgCgoqICEon+l1qxmCQSQElVLQ7eXh017PYCN8bM08EKQ3raQ6UCdiZxz0kiIiKi9mT27Nl44okn4OfnB5FIhAkTJgAATp06hf79++vdr4mhAhKR9vYmZ6OmTok+zl3h62YjdBythAW648yNIsQmZeGl0b2EjkNEREREWnrvvffg5+eHmzdv4vHHH4e5uTkAQCKRYNGiRXr3y2KSSADqKa7hQR4QiYx7iqva1EFuWL4zBecyinE9rwy9nLoKHYmIiIiItPTYY481OjZr1qwW9clikqiN5ZRU4fi1AgB/XYvYHjh2NccoH0ccuZyH2KQszJ/QV+hIRERERKSlgwcP4uDBg8jNzYVSqWzw2ObNm/Xqk9dM3kEqlcLX1xchISFCR6EObGdSFlQqYGhPe3g6WAkdRyfq6ztjZFlQqVQCpyEiIiIibSxfvhwPPvggDh48iPz8fBQVFTW46Ysjk3eIiIhAREQEMjIy4OnpKXQc6qCib09xDQsy3r0lm/PgQFdYmJ5HWn45zmcWw7+7ndCRiIiIiOgeNm3ahKioKDz33HMG7Zcjk0Rt6GpuGZIzS2AiFmHaIDeh4+isq7kJJgxwAVA/OklERERExq+mpgYjRowweL8sJonakHrhnTF9neDQxUzgNPoJC6wfUd2ZlAWFklNdiYiIiIzdSy+9hO+//97g/XKaK1EbUalUmtG89rC3ZHPG9nWCraUpckurcfJ6AUb6OAodiYiIiIjuoqqqCl988QUOHDgAf39/mJqaNnh87dq1evXLYpKojSTevIX0wgpYmUkw0ddF6Dh6MzMRY+ogN/yQkI4YWSaLSSIiIiIjd+7cOQQGBgIAkpOTGzzWkm3qBJ3mevToUUyfPh3u7u4QiUSIjo6+a3u5XI6nn34affv2hVgsxvz58xu1iYqKgkgkanCzsLBonTdApIOYxPoprpMGusLKrH3/HUc9svprcjaqahUCpyEiIiKiuzl8+HCzt0OHDundr6DFZHl5OQICAiCVSrVqX11dDScnJyxZsgQBAQHNtrOxsYFcLtfcbty4YajIRHqpVSix65wcQPue4qo2zMsBrjYWKK2qQ/ylPKHjEBEREZEWrl69in379qGyshIAWrzVm6DDI1OmTMGUKVO0bu/l5YUNGzYAuPvGmiKRCK6uri3OR2Qox67mo6C8Bo5dzTCqA0wLFYtFCA10xxdHryM2KROT/fj7RkRERGSsCgoK8MQTT+Dw4cMQiUS4cuUKevXqhRdffBH29vZYs2aNXv12yNVcy8rK0LNnT3h6eiIsLAwXLlwQOhJ1cuoprg/5u8NE0jF+7UID6kdYD1zMRUlVrcBpiIiIiKg5CxYsgKmpKdLT02FlZaU5PmPGDOzdu1fvfjvGt9o79OvXD5s3b0ZMTAy+++47KJVKjBgxAhkZGc0+p7q6GiUlJZpbaWlpGyamjq6ipg77U3IAdIwprmoD3W3g49wVNXVK7EvOFjoOERERETVj//79WLVqFbp3797geJ8+fVp0SWD7XgWkCcHBwQgODtbcHzFiBAYMGIDPP/8c77//fpPPWblyJZYvX974gdmzAUvL1oqqvYQEIDRU6BSkpzgbH1R0H4+eNcUInDurbV60Dc4ZEYAwxyCscR6G2KjdeHzFnlZ9PWpl/JwhXfGcIV3xnCFdGcs5c/v6wvasvLy8wYikWmFhIczNzfXut8MVk39namqKoKAgXL16tdk2ixcvRmRkpOZ+ZmYmfH19gS1bgL9V74IIDQViY4VOQXqKifoDSM1F2OQhED34dNu8aBudM6EF5VjzUTx+t/ZE7v9th7M1V05ut/g5Q7riOUO64jlDujKWcyYjA/D0FDpFi4wePRpbt27VDK6JRCIolUqsXr0a48aN07vfDl9MKhQKnD9/HlOnTm22jbm5eYOKvKSkpC2iUSdQWF6Do5frVzsNC/IQOI3h9ezWBYGedpDdvIVdSXK8MMpb6EhERERE9DerV6/G+PHjcfr0adTU1GDhwoW4cOECCgsL8fvvv+vdr6DXTJaVlUEmk0EmkwEA0tLSIJPJkJ6eDqB+xHDmzJkNnqNuX1ZWhry8PMhkMqSkpGgeX7FiBfbv34/r16/j7NmzePbZZ3Hjxg289NJLbfa+iNR2n8tCnVKFQR626O3UVeg4rSL89nWgMUlZAichIiIioqb4+fnh8uXLGDVqFMLCwlBeXo5HHnkEiYmJ6N27t979Cjoyefr06QbDquqpprNmzUJUVBTkcrmmsFQLCgrS/PeZM2fw/fffo2fPnvjzzz8BAEVFRXj55ZeRnZ0Ne3t7DBkyBMePH6+ftkrUxqJl9QVWR1p45++m+btjxa4UJN28hT/zy+Hl2EXoSERERER0h8OHD2PcuHF45513Gj0mlUoRERGhV7+CjkyGhIRApVI1ukVFRQEAoqKiEB8f3+A5TbVXF5IAsG7dOty4cQPV1dXIzs7G7t27GxSgRG3lZmEFztwoglj01zYaHZGTtTlG3t47M5ajk0RERERG55FHHsGZM2caHd+wYQMWL16sd78dbmsQImMRI6vfW3JEb0c423TshWnCAuuvB42WZUKlUgmchoiIiIju9NFHH2HKlClITU3VHFuzZg2WLl2K3bt3691vh1+Ah0gIKpWqU0xxVZs00AXv/CLG9bxyXMgqgZ+HrdCRiIiIiOi2l156CYWFhZgwYQKOHTuGH3/8ER988AH27NmDkSNH6t0vi0miVnAhqwRXc8tgZiLGZD9XoeO0OmsLU0wY4ILd5+WIkWWymCQiIiIyMgsXLkRBQQGGDh0KhUKBffv24f77729RnywmiVqBeorrhAHOsLYwFThN2wgNdMfu83LEJmVh0ZQBkIhFQkciIiIi6rQ+/vjjRsc8PDxgZWWFMWPGICEhAQkJCQCA119/Xa/XYDFJZGAKpUqzEI36WsLOIKSfE6wtTJBTUo2EtEIE9+4mdCQiIiKiTmvdunVNHpdIJPj99981+0uKRCIWk4YglUohlUpRU1MjdBRqx06lFSCnpBo2FiYI6eckdJw2Y24iwVQ/N/x4+iZiZJksJomIiIgElJaW1uqvwdVc7xAREYGUlJRG25EQ6SImsX5Ucpq/G8xNJAKnaVthQfWLDe05L0d1nULgNERERET0d+rtFQ2BxSSRAVXVKrAnWQ6gc01xVRvu3Q0uNuYoqarDkUt5QschIiIiotu2bt2KQYMGwdLSEpaWlvD398e3337boj5ZTBIZUPylXJRW1cHd1gLDvByEjtPmJGIRpvvXj07G3L5ulIiIiIiEtXbtWrz22muYOnUqtm/fju3bt2Py5MmYM2dOs9dWaoPXTBIZUPTtKa7TA90h7qSrmYYFeuCrY2k4kJKDsuo6dDXnxwwRERGRkDZu3IjPPvsMM2fO1BwLDQ3FwIED8d5772HBggV69cuRSSIDKa6sxaHUXABAeCec4qrm52GDXo5dUF2nxL7kbKHjEBEREXV6crkcI0aMaHR8xIgRkMvlevfLYpLIQPYmy1GjUKKvS1f0d7UWOo5gRCKR5npRTnUlIiIiEp6Pjw+2b9/e6PiPP/6IPn366N0v558RGUiM7K+9JUWizjnFVS000B3rDlzG71fzkVdaDSdrc6EjEREREXU6DzzwAHbs2IHly5djxowZOHr0KEaOHAkA+P3333Hw4MEmi0xtcWSSyACyi6tw4noBACAs0F3gNMLzduyCgO62UChV2HNe/6kTRERERKS/+Ph41NTU4NFHH8WpU6fg6OiI6OhoREdHw9HREQkJCXj44Yf17p8jk0QGsDMpCyoVcJ+XPbrbWwkdxyiEBnogKaMY0bJMzBrhJXQcIiIiok5tyJAh+O677wzaJ4tJIgOIlmUC6Jx7SzZnur8b/rM7BYnpt5BeUIEe3VhkExEREbW1lJQUZGfffVFEf39/vfpmMXkHqVQKqVSKmpoaoaNQO3I1txQXskpgIhZh2iA3oeMYDWcbC4zo7YhjV/MRm5SJuQ/of3E3EREREeln/PjxUKlUzT4uEomgUCj06pvF5B0iIiIQERGBjIwMeHp6Ch2H2gn13pIh/Zxg38VM4DTGJTTQHceu5iNaloWIcT6dfmEiIiIiorZ26tQpODk5tUrfLCaJWkClUiEmiVNcmzPZzxVLopNxNbcMF+Wl8HW3EToSERERUafSo0cPODs7t0rfXM2VqAXOphfhZmEluphJMGGAi9BxjI6NhSke6Ff/4RVz+7pSIiIiIuoYWEwStYB6b8lJA11haSYROI1xCg+q3yolNikLSmXz8/WJiIiIyLDGjh0LM7PWuwyLxSSRnmoVSuw6V7+HYlgQp7g2J6SfM6zNTSAvrsIffxYKHYeIiIio0zh8+DDs7OxarX8Wk0R6OnYlH4XlNXDsaoaRvbsJHcdoWZhKMNnPFQAQk5QlcBoiIiIiMhQWk0R6Uu8t+ZC/O0wk/FW6G/XiRHvOy1FTpxQ4DREREREZAr8BE+mhvLoO+y/kAADCOcX1noJ7d4OTtTluVdTi6OU8oeMQERERkQGwmCTSQ1xKDiprFfDqZoWA7rZCxzF6ErEI0/3rF+LhVFciIiKitrVixQpUVFQ0Ol5ZWYkVK1bo3S+LSSI9qKe4hgV6QCQSCZymfQgLrC8m41KyUV5dJ3AaIiIios5j+fLlKCsra3S8oqICy5cv17tfFpN3kEql8PX1RUhIiNBRyIjll1Xjtyv5AP4qkOje/LvbwqubFapqlYhLyRE6DhEREVGnoVKpmhwASUpKgoODg979spi8Q0REBFJSUhAfHy90FDJiu8/JoVCq4N/dFr2cugodp90QiUQIvb0Qj3pkl4iIiIhaj729PRwcHCASidC3b184ODhobra2tpg4cSKeeOIJvfs3MWBWok4h5o4prqSbsEB3fHzwCn67ko+Csmp062oudCQiIiKiDmv9+vVQqVR44YUXsHz5ctja/rXWh5mZGby8vBAcHKx3/ywmiXSQXlCBs+m3IBYB0wPchI7T7vR26opBHrY4n1mMPefleC7YS+hIRERERB3WrFmzAADe3t4YMWIETE1NDdo/i0kiHahHJUf6OMLZ2kLgNO1TWKA7zmcWI0aWxWKSiIiIqA14e3tDLpc3+3iPHj306pfFJJGWVCpVg1VcST8P+bvjP3su4vSNItwsrICng5XQkYiIiIg6NC8vr7vuQKBQKPTql8UkkZYuZJXgWl45zE3EmDTQReg47ZarrQWCe3XD8WsFiE3KQsQ4H6EjEREREXVoiYmJDe7X1tYiMTERa9euxX/+8x+9+2UxSaSl6MT6UckJvi6wtjDsfPPOJizQvb6YlLGYJCIiImptAQEBjY4NHToU7u7u+Oijj/DII4/o1S+3BiHSgkKpQmxSFgAgnFNcW2zyQDeYScS4lFOK1OwSoeMQERERdUr9+vXDH3/8offzWUwSaeHk9QLkllbD1tIUY/s6CR2n3bO1MkVIv/qfY4wsS+A0RERERB1bSUlJg1txcTFSU1OxZMkS9OnTR+9+Oc31DlKpFFKpFDU1NUJHISOjXsV16iA3mJnwbzCGEBbogf0pOYiVZeHNB/tBLG7+onAiIiIi0p+dnV2jBXhUKhU8PT2xbds2vftlMXmHiIgIREREICMjA56enkLHISNRVavAr+ezAQDhge4Cp+k4xg9wRldzE2TeqsSZ9CLc5+UgdCQiIiKiDunw4cMN7ovFYjg5OcHHxwcmJvqXhBxiIbqHw6m5KK2ug7utBQseA7IwlWDSQFcAf438EhEREbV3R48exfTp0+Hu7g6RSITo6Oh7Pic+Ph6DBw+Gubk5fHx8EBUV1eDxlStX4r777oO1tTWcnZ0RHh6OS5cuaZ1p7NixDW6jR49G//79W1RIAiwmie5JvbdkaKAHp2IaWNjtkd7d5+SoVSgFTkNERETUcuXl5QgICIBUKtWqfVpaGqZNm4Zx48ZBJpNh/vz5eOmll7Bv3z5NmyNHjiAiIgInT55EXFwcamtr8eCDD6K8vFzrXJcuXcLcuXMxfvx4jB8/HnPnzkVqaqrO7+9OnOZKdBfFFbU4nJoHAAgP4hRXQxvRuxscu5ohv6wGx67kY1x/Z6EjEREREbXIlClTMGXKFK3bb9q0Cd7e3lizZg0AYMCAATh27BjWrVuHSZMmAQD27t3b4DlRUVFwdnbGmTNnMGbMmHu+xs8//4wnn3wSQ4cORXBwMADg5MmTGDRoELZt24ZHH31U67x34sgk0V38mixHjUKJ/q7W6O9qI3ScDsdEIsZD/vVFejSnuhIREZERKy0tbbAianV1tUH6PXHiBCZMmNDg2KRJk3DixIlmn1NcXAwAcHDQ7hKshQsXYvHixThx4gTWrl2LtWvX4vjx43j77bexcOFCvbOzmCS6C3WBE8a9JVuNeqrr/gs5qKipEzgNERERUdN8fX1ha2urua1cudIg/WZnZ8PFxaXBMRcXF5SUlKCysrJRe6VSifnz52PkyJHw8/PT6jXkcjlmzpzZ6Pizzz4LuVyuX3AIXEzqenGqXC7H008/jb59+0IsFmP+/PlNtvvf//6H/v37w8LCAoMGDcKePXsMH546PHlxJU6lFQIApge4CZym4wr0tEMPBytU1ioQl5IjdBwiIiKiJqWkpKC4uFhzW7x4sSA5IiIikJycrNOWHiEhIfjtt98aHT927BhGjx6tdxZBi0ldL06trq6Gk5MTlixZgoCAgCbbHD9+HE899RRefPFFJCYmIjw8HOHh4UhOTjZkdOoEdiZlQaUChnk5oLu9ldBxOiyRSKQZnYyVZQmchoiIiKhp1tbWsLGx0dzMzc0N0q+rqytychr+QT0nJwc2NjawtLRscHzu3LnYtWsXDh8+jO7du2v9GqGhoXjrrbcwd+5cfPfdd/juu+8wd+5cLFq0CA8//DBiY2M1N10IugCPrhenenl5YcOGDQCAzZs3N9lmw4YNmDx5Mt58800AwPvvv4+4uDh88skn2LRpU8tDU6cRnVhf2IRx4Z1WFxbojo2HruLI5TwUltfAoYuZ0JGIiIiI2kRwcHCjmZRxcXGahXIAQKVS4Z///Cd++eUXxMfHw9vbW6fX+Mc//gEA+PTTT/Hpp582+RhQ/0d+hUKhdb8d7ppJfS5gra6ubnAxbWlpaWvHJCN3JacUKfISmEpEmDaIU1xbm4+zNQa626BOqcKe8/rP2yciIiISWllZGWQyGWQyGYD6rT9kMhnS09MBAIsXL25w/eKcOXNw/fp1LFy4EKmpqfj000+xfft2LFiwQNMmIiIC3333Hb7//ntYW1sjOzsb2dnZTV5T2RSlUqnVTZdCEuiAW4M0dwFrdnZ2s89ZuXIlli9f3viB2bOBvw0tCyIhAQgNFTpFpxLtdB/gNBhjb6XB7snHhI6ju3Z4zoR188cFl2DE/l8cnv1AtykWZADt8JwhgfGcIV3xnCFdGcs5o2XBpnb69GmMGzdOcz8yMhIAMGvWLERFRUEul2sKSwDw9vbG7t27sWDBAmzYsAHdu3fHV199pdkWBAA+++wzAPXXPt5py5YteP755++ZaevWrZgxY0ajqbk1NTXYtm1bk4vzaKPDFZP6WLx4seZ/MgBkZmbC19cX2LIF0GEucqsJDQV0nL9M+lOpVIhZfRgoqkT4qw8D/hFCR9JdOzxnphdXYuWHh5DQxQ2ZW3+Eh50R/CGnM2mH5wwJjOcM6YrnDOnKWM6ZjAzA01Pr5iEhIVCpVM0+HhUV1eRzEhMTm33O3frTxuzZszF58mQ4Ozfc07u0tBSzZ8/Wu5jUeZrrzZs3kZGRobmfkJCA+fPn44svvtArgKE1dwGrq6trs88xNzdvcDGttbV1a8ckI3bmRhEyiirR1dwEEwa43PsJZBButpYY5lW/V9LOJC7EQ0RERGQoKpUKIpGo0fGMjAzY2trq3a/OxeTTTz+Nw4cPA6ifUjpx4kQkJCTgnXfewYoVK/QOYijBwcE4ePBgg2N/v4CV6G7Ue0tOGugKC1OJwGk6l/Cg+v08oxMzBU5CRERE1P4FBQVh8ODBEIlEGD9+PAYPHqy5BQQEYPTo0Y3Wm9GFztNck5OTMWzYMADA9u3b4efnh99//x379+/HnDlzsHTpUq37Kisrw9WrVzX31RenOjg4oEePHli8eDEyMzOxdetWTRv1haxlZWXIy8uDTCaDmZlZ/bRUAPPmzcPYsWOxZs0aTJs2Ddu2bcPp06eNZuSUjFutQond5+oXgFFvV0FtZ4qfK5bGJCM1uxSXskvRz5WzBIiIiIj0FR4eDqC+hpo0aRK6du2qeczMzAxeXl549NFH9e5f52KytrZWc+HmgQMHEHr7otj+/ftDLtdtFUZdL04F6qtrtTNnzuD7779Hz5498eeffwIARowYge+//x5LlizB22+/jT59+iA6Ohp+fn66vlXqhH67koeiilo4djXHiN7dhI7T6dhZmWFsX2ccuJiD2KRMvOnaX+hIRERERO3WsmXLANRvsThjxgxYWFgYtH+di8mBAwdi06ZNmDZtGuLi4vD+++8DALKystCtm25fvvW5OFWbi08ff/xxPP744zplIQL+2ltyeoAbTCQdbuecdiEs0B0HLuYgRpaFNx7s1+T8fiIiIiLS3qxZs1qlX52/La9atQqff/45QkJC8NRTTyEgIAAAEBsbq5n+StQelVfXIS6lfvGm8EAPgdN0XhMGuKCLmQQZRZU4m14kdBwiIiKidk8sFkMikTR705fOI5MhISHIz89HSUkJ7O3tNcdfeeUVWFlZ6R2ESGj7U7JRWauAt2MX+HfXf1UrahlLMwkmDXTFjsRMxMiyMKSng9CRiIiIiNq1HTt2NJjtVVtbi8TERHzzzTdYvny53v3qtc+kRCJpUEgC9fNwidoz9RTXsEB3Tq0UWGigO3YkZmL3OTnefcgXppxyTERERKQ39UI8d3rssccwcOBA/Pjjj3jxxRf16lfnb2g5OTl47rnn4O7uDhMTE4MNkRIJKb+sGseu5gPgFFdjMNLHEd26mKGgvAa/3/7/QkRERESGdf/99zfaVlEXOo9MPv/880hPT8e7774LNze3DjWCI5VKIZVKUVNTI3QUamO7krKgUKoQ4GkHL8cuQsfp9EwlYkzzd8PWEzcQK8tCSD9noSMRERERdSiVlZX4+OOP4eGh/0CKzsXksWPH8NtvvyEwMFDvFzVWERERiIiIQEZGBjw9PYWOQ20oWlY/xTWce0sajbBAD2w9cQP7LmSjskYBSzPOfCAiIiLSh729fYNBQJVKhdLSUlhZWeG7777Tu1+di0lPT0+ttucgai/+zC+H7OYtiEXANH83oePQbYN72KG7vSUyiipx4GIOpgew0CciIiLSx7p16xoUk2KxGE5OThg+fHijtXB0oXMxuX79eixatAiff/45F92hDiE2qX5UcqSPI5ytDbuRK+lPJBIhLNAd0sPXECPLYjFJREREpKfnn3++VfrVuZicMWMGKioq0Lt3b1hZWcHU1LTB44WFhQYLR9TaVCoVomWZALjwjjEKC/SA9PA1HLmci1sVNbCzMhM6EhEREVG788cff+CHH37A5cuXAQD9+vXDU089haFDh7aoX71GJok6iuTMElzPK4eFqRiT/FyFjkN/09fFGv1drZGaXYo957Px9PAeQkciIiIialcWLlyI//73v+jatSt69eoFADhy5AjWr1+PN954A6tWrdK7b52LyVmzZun9YkTGRj0qOWGAC7qa67XtKrWy8CAPfPhrKmJkmSwmiYiIiHTwzTffYOPGjfj444/x6quvamaV1tbW4rPPPsNbb72FgQMHYubMmXr1r9e3Z4VCgejoaFy8eBEAMHDgQISGhnKfSWpXFEoVdiapV3HlFFdjNT3AHR/+moqEPwuRdasS7naWQkciIiIiahekUik++OADzJ07t8FxU1NTvP7666irq8Mnn3yidzEp1vUJV69exYABAzBz5kzs2LEDO3bswLPPPouBAwfi2rVreoUgEsKJawXILa2GnZUpxvR1EjoONcPDzhLDvBygUgG7zmUJHYeIiIio3bhw4QLCwsKafTw8PBwXLlzQu3+di8nXX38dvXv3xs2bN3H27FmcPXsW6enp8Pb2xuuvv653EKK2pp7iOm2QG8xMdP5VoDYUenv/zxgZi0kiIiIibUkkEtTU1DT7eG1tbYtml+r8DfrIkSNYvXo1HBwcNMe6deuGDz/8EEeOHNE7CFFbqqpVYG9yNoD6FUPJuE0b5AYTsQgXskpwNbdU6DhERERE7cLgwYPxf//3f80+/u2332Lw4MF6969zMWlubo7S0sZf5srKymBm1r6X7ZdKpfD19UVISIjQUaiVHUrNRVl1HTzsLDG0p/4btVLbsO9ihrG3pyJzdJKIiIhIO2+88QZWrlyJhQsXIicnR3M8Ozsbb775JlatWoU33nhD7/51LiYfeughvPLKKzh16hRUKhVUKhVOnjyJOXPmIDQ0VO8gxiAiIgIpKSmIj48XOgq1sujE+imuoYHuEItFAqchbdw51VWlUgmchoiIiMj4PfTQQ1i3bh02bNgAd3d3ODg4wMHBAR4eHvj444/x3//+Fw899JDe/eu8muvHH3+MWbNmITg4WLO0bF1dHUJDQ7Fhwwa9gxC1leKKWsRfygPAVVzbk4m+LrA0lSC9sAKym7cQ1IMjykRERET38s9//hMPP/ww/ve//+HKlSsAgL59++LRRx+Fp6dni/rWuZi0s7NDTEwMrly5gtTUVADAgAED4OPj06IgRG1lT7IcNQol+rtao5+rtdBxSEtWZiZ4cKALYmRZiJFlsZgkIiIi0lL37t2xYMECg/er9y7tffr0QZ8+fQyZhahNqKe4hgdxVLK9CQ/0QIwsC7vOZWHJtAEwkXAVXiIiIiKhaFVMRkZG4v3330eXLl0QGRl517Zr1641SDCi1pB1qxKn0gohEgGhAe5CxyEdjerjCHsrU+SX1eD4tQLuD0pEREQkIK2KycTERNTW1mr+m6i9ik2qXwl0mJcD3O0sBU5DujKViDHN3w3fnUxHjCyLxSQRERGRgLQqJg8fPtzkfxO1N+oprtxbsv0KC/TAdyfTse9CNv5T6wcLU/032iUiIiIi/el8wdELL7zQ5D6T5eXleOGFFwwSiqg1XMouRWp2KUwlIkwd5Cp0HNLTkB728LCzRFl1HQ5ezBU6DhEREZHRu9uA4Oeff653vzoXk9988w0qKysbHa+srMTWrVv1DkLU2mJk9aOSIf2cYWdlJnAa0pdYLLpjz8lMgdMQERERGb/JkyfjzTff1Fy6CAD5+fmYPn06Fi1apHe/WheTJSUlKC4uhkqlQmlpKUpKSjS3oqIi7NmzB87OznoHIWpNSqUKMbL66yW5t2T7F3a7mIy/lIfiitp7tCYiIiLq3A4fPoxffvkF9913H1JSUrB79274+fmhpKQEMplM73613hrEzs4OIpEIIpEIffv2bfS4SCTC8uXL9Q5iDKRSKaRSKWpqaoSOQgZ2Jr0Imbcq0dXcBOMH8I8e7V1/Vxv0c7HGpZxS7L0gx4z7eggdiYiIiMhojRgxAjKZDHPmzMHgwYOhVCrx/vvvY+HChRCJRHr3q3UxefjwYahUKjzwwAP4+eef4eDgoHnMzMwMPXv2hLt7+95qISIiAhEREcjIyICnp6fQcciA1AvvTPZz5YItHURooDs+2ncJ0YlZLCaJiIiI7uHy5cs4ffo0unfvjqysLFy6dAkVFRXo0qWL3n1qPc117NixCAkJQVpaGsLDwzF27FjNLTg4uN0XktRx1dQpsfu8HACnuHYk6n1CT6YVILu4SuA0RERERMbrww8/RHBwMCZOnIjk5GQkJCQgMTER/v7+OHHihN79ajUyee7cOfj5+UEsFqO4uBjnz59vtq2/v7/eYYhaw9HLebhVUQtna3ME9+4mdBwyEE8HKwztaY/TN4qw61wWXhrdS+hIREREREZpw4YNiI6OxpQpUwAAfn5+SEhIwNtvv42QkBBUV1fr1a9WxWRgYCCys7Ph7OyMwMBAiEQiqFSqRu1EIhEUCoVeQYhaS/TtFT+nB7hDItZ/TjgZn7BAd5y+UYQYGYtJIiIiouacP38ejo6ODY6Zmprio48+wkMPPaR3v1oVk2lpaXByctL8N1F7UVZdhwMXcwD8tQIodRxTB7nhvZ0pOJ9ZjGt5Zejt1FXoSERERERG5++F5J3Gjh2rd79aFZM9e/bU/PeNGzcwYsQImJg0fGpdXR2OHz/eoC2R0PZfyEZVrRK9HLtgkIet0HHIwLp1NceYPo44fCkPMbIsRE5svNI0EREREQGnT5/G9u3bkZ6e3mj3ih07dujVp9YL8KiNGzcOhYWFjY4XFxdj3LhxeoUgai3Rt/eWDAv0aNGyx2S8wm4vqhQry2xy+j0RERFRZ7dt2zaMGDECFy9exC+//ILa2lpcuHABhw4dgq2t/gMuOheTKpWqyS/lBQUFLVpWlsjQ8kqrcexKHgBOce3IJvq6wMJUjD8LKnAuo1joOERERERG54MPPsC6deuwc+dOmJmZYcOGDUhNTcUTTzyBHj3032JN630mH3nkEQD1i+w8//zzMDc31zymUChw7tw5jBgxQu8gRIa261wWlCog0NMOXo78Q0dH1cXcBBN9XbEzKQsxsiwEeNoJHYmIiIjIqFy7dg3Tpk0DAJiZmaG8vBwikQgLFizAAw88gOXLl+vVr9Yjk7a2trC1tYVKpYK1tbXmvq2tLVxdXfHKK6/gu+++0ysEUWtQT3EN56hkhxd2e8/JneeyoFByqisRERHRnezt7VFaWgoA8PDwQHJyMgDg1q1bqKio0LtfrUcmt2zZAgDw8vLCG2+80SGntEqlUkil0kYXpFL7k5ZfjqSbtyARi/BQAIvJjm5MXyfYWZkir7QaJ64VYFSf5lcsIyIiIupsxowZg7i4OAwaNAiPP/445s2bh0OHDiEuLg7jx4/Xu1+dr5lctmwZzM3NceDAAXz++eeaCjcrKwtlZWV6BzEGERERSElJQXx8vNBRqIVibu8tOcrHEY5dze/Rmto7MxMxpg5yA/DX/3siIiIiqvfJJ5/gySefBAC88847iIyMRE5ODh599FF8/fXXever9cik2o0bNzB58mSkp6ejuroaEydOhLW1NVatWoXq6mps2rRJ7zBEhqBSqRCjWcWVo5KdRViAO74/lY69ydl4P9wPFqYSoSMRERERGQUHBwfNf4vFYixatMgg/eo8Mjlv3jwMHToURUVFsLS01Bx/+OGHcfDgQYOEImqJ85nFSMsvh4WpGA8OdBU6DrWR+7wc4G5rgdLqOsRfyhU6DhEREVGHp3Mx+dtvv2HJkiUwMzNrcNzLywuZmZxeRsKLTqwflZzo64qu5joPvlM7JRaLMP32SLT6HCAiIiLqzCQSiVY3fen8TVupVEKhUDQ6npGRAWtra72DEBmCQqnCznNcxbWzCgvwwOdHruPQpVwUV9bC1tJU6EhEREREglGpVOjZsydmzZqFoKAgg/ev88jkgw8+iPXr12vui0QilJWVYdmyZZg6dapOfR09ehTTp0+Hu7s7RCIRoqOj7/mc+Ph4DB48GObm5vDx8UFUVFSDx9977z2IRKIGt/79++uUi9qv49fykVdaDXsrU4zp6yR0HGpjA9ys0ce5K2rqlNh3IVvoOERERESCSkhIwOTJk7FhwwYsX74cN2/exJgxYxAWFtbgpi+di8k1a9bg999/h6+vL6qqqvD0009rpriuWrVKp77Ky8sREBAAqVSqVfu0tDRMmzYN48aNg0wmw/z58/HSSy9h3759DdoNHDgQcrlcczt27JhOuaj9Uk9vnObvBlOJzqc3tXMikUiz6FKsjFNdiYiIqHMbOnQoPvvsM8jlckRGRuKXX35B9+7d8eSTTyIuLq7F/es8zbV79+5ISkrCtm3bcO7cOZSVleHFF1/EM88802BBHm1MmTIFU6ZM0br9pk2b4O3tjTVr1gAABgwYgGPHjmHdunWYNGmSpp2JiQlcXbnwSmdTVavQjEaFB3oInIaEEhrggf/uv4zj1/KRW1IFZxsLoSMRERERCcrCwgLPPvssnn32WaSlpeHFF1/E5MmTkZeX12ClV13ptTqJiYkJnn32Wb1fVF8nTpzAhAkTGhybNGkS5s+f3+DYlStX4O7uDgsLCwQHB2PlypXo0aNHGyYlIRy4mIOy6jp0t7fEkJ72QschgfToZoXBPexwNv0Wdp6T48VR3kJHIiIiIhJcRkYGoqKiEBUVhYqKCrz55puwsbFpUZ96zQO8dOkS5s6di/Hjx2P8+PGYO3cuUlNTWxREG9nZ2XBxcWlwzMXFBSUlJaisrAQADB8+HFFRUdi7dy8+++wzpKWlYfTo0SgtLW223+rqapSUlGhud2tLxks9xTU0oP4aXOq8wm6PTMfKuMI0ERERdV41NTX48ccf8eCDD6JPnz44e/Ys1q9fj5s3b+LDDz+EiUnLdj7Q+dk///wznnzySQwdOhTBwcEAgJMnT2LQoEHYtm0bHn300RYFaqk7p836+/tj+PDh6NmzJ7Zv344XX3yxyeesXLkSy5cvb/zA7NmAjlN3W0VCAhAaKnQKo3ZLbI4j/Z4DRBKEf70S+LRI6EjC6uTnzFSJJVb0fRZJGcVIe+xZeNeUCB3J+HXyc4b0wHOGdMVzhnRlLOfM7UGr9sjNzQ3W1taYNWsWPv30Uzg7OwOoX7vmTvqOUOpcTC5cuBCLFy/GihUrGhxftmwZFi5c2KrFpKurK3Jychocy8nJgY2NTbPXa9rZ2aFv3764evVqs/0uXrwYkZGRmvuZmZnw9fUFtmwBunc3TPiWCA0FYmOFTmHU9pxKR+0v5zHAzQZ9P/xG6DjC6+TnjBOAkZsTcPRyHmLnLMO8CX2EjmT8Ovk5Q3rgOUO64jlDujKWcyYjA/D0FDqFXoqKilBUVIT3338f//73vxs9rlKpIBKJmtz6URs6F5NyuRwzZ85sdPzZZ5/FRx99pFcIbQUHB2PPnj0NjsXFxWlGSJtSVlaGa9eu4bnnnmu2jbm5OczNzTX3S0o4itHeRN+ezsi9JUktPNAdRy/nIUaWidfH+3DqMxEREXU6hw8fbtX+dS4mQ0JC8Ntvv8HHx6fB8WPHjmH06NE69VVWVtZgxDAtLQ0ymQwODg7o0aMHFi9ejMzMTGzduhUAMGfOHHzyySdYuHAhXnjhBRw6dAjbt2/H7t27NX288cYbmD59Onr27ImsrCwsW7YMEokETz31lK5vldqJzFuVSEgrhEgEhLKYpNseHOgKc5PzuJ5fjuTMEgzqbit0JCIiIqI2NXbs2FbtX+diMjQ0FG+99RbOnDmD+++/H0D9NZP/+9//sHz5csTeMRQdeo85zqdPn8a4ceM099VTTWfNmoWoqCjI5XKkp6drHvf29sbu3buxYMECbNiwAd27d8dXX33VYFuQjIwMPPXUUygoKICTkxNGjRqFkydPwsmJG9h3VOr9BId7O8DN1giucSWj0NXcBBN8XbD7nBwxskwWk0REREQGpnMx+Y9//AMA8Omnn+LTTz9t8jEAWs29DQkJgUqlavbxqKioJp+TmJjY7HO2bdt219ekjidGM8WVe0tSQ2EB7th9To6d57KweOoASMSc6kpERERkKDpvDaJUKrW66XsRJ5EuUrNLkJpdCjOJGFP83ISOQ0ZmbD8n2FiYIKekGqeuFwgdh4iIiKhD0WufSbWqqipD5SDSi3pvyZB+TrC1MhU4DRkbcxMJpvnX/5Eh5vZ0aCIiIiIyDJ2LSYVCgffffx8eHh7o2rUrrl+/DgB499138fXXXxs8IFFzlEoVdibVFwjhQZziSk0LDag/N/Yky1FdxxkTRERERIaiczH5n//8B1FRUVi9ejXMzMw0x/38/PDVV18ZNBzR3Zy+UYTMW5WwNjfBA/2dhY5DRmqYtwNcbSxQWlWH+Et5QschIiIianPl5eV49913MWLECPj4+KBXr14NbvrSeQGerVu34osvvsD48eMxZ84czfGAgACkpqbqHYRIV+q9JSf7ucLCVCJwGjJWErEI0wPc8OVvaYiVZWHSQFehIxERERG1qZdeeglHjhzBc889Bzc3N4Ptv61zMZmZmdloj0mgfmGe2tpag4QSilQqhVQqRU1NjdBR6B5q6pTYc14OgFNc6d7CAj3w5W9pOHAxB6VVtbC24PW1RERE1Hn8+uuv2L17N0aOHGnQfnWe5urr64vffvut0fGffvoJQUFBBgkllIiICKSkpCA+Pl7oKHQPRy7n4VZFLZytzXF/r25CxyEjN9DdBr2duqC6Tol9F3KEjkNERETUpuzt7eHg4GDwfnUemVy6dClmzZqFzMxMKJVK7NixA5cuXcLWrVuxa9cugwckaop6imtogDv3DqR7EolECAv0wNq4y4iRZeKxId2FjkRERETUZt5//30sXboU33zzDaysrAzWr87FZFhYGHbu3IkVK1agS5cuWLp0KQYPHoydO3di4sSJBgtG1JzSqlocSKkfXeIUV9JWaIA71sZdxu9X85FXWg0na3OhIxERERG1mqCgoAbXRl69ehUuLi7w8vKCqWnDS37Onj2r12voXEwCwOjRoxEXF9fo+OnTpzF06FC9ghBpa9+FHFTXKdHbqQsGutsIHYfaCS/HLgjwtEPSzVvYdS4Ls0d6Cx2JiIiIqNWEh4e3+mvoXEyWlZVBIpHA0tJSc0wmk+Hdd9/Fnj17oFBwHzdqXTG3p7iGBXoYbCUq6hzCA92RdPMWYmQsJomIiKhjW7ZsWau/htYL8Ny8eRPBwcGwtbWFra0tIiMjUVFRgZkzZ2L48OHo0qULjh8/3ppZiZBbWoXfr+YDAMIC3QVOQ+3NNH83iEWA7OYt3CgoFzoOERERUZvo1asXCgoKGh2/detWi/aZ1LqYfPPNN1FVVYUNGzZg1KhR2LBhA8aOHQsbGxtcu3YN27Ztw/Dhw/UOQqSNXUlyKFVAUA879OzWReg41M44W1tgpI8jACBWliVwGiIiIqK28eeffzY5g7S6uhoZGRl696v1NNejR49ix44duP/++/HEE0/A1dUVzzzzDObPn6/3i9PdKZQqJKQVItemN5yvFWCYt0OnX7lUPcU1PJAL7zSF58y9hQa447cr+YiWZWLuAz6dfqo0zxnSFc8Z0hXPGdIVzxnDiY2N1fz3vn37YGtrq7mvUChw8OBBeHvrf+mPSKVSqbRpKJFIkJWVBRcXFwBA165dcebMGfTr10/vFzdWGRkZ8PT0xM2bN9G9uzBbCOxNlmP5zhTIi6s0x9xsLbBsui8m+7kJkkloafnlGPffeEjEIpx6ezwcu3I1zjvxnNFOaVUthvz7AGrqlNj1z1Hw87C995M6KJ4zpCueM6QrnjOkK2M8Z3StDY4ePYqPPvoIZ86cgVwuxy+//HLPxXDi4+MRGRmJCxcuwNPTE0uWLMHzzz/foI1UKsVHH32E7OxsBAQEYOPGjRg2bNhd+xWL6yeiikQi/L3sMzU1hZeXF9asWYOHHnronu+ryf51aiwWN/hvMzMzvV6U7m5vshyvfXe2wS8RAGQXV+G1785ib7JcoGTCik6sH5Uc3ceRheTf8JzRnrWFKSYMcAYAxCZ13qmuPGdIVzxnSFc8Z0hXHeWcKS8vR0BAAKRSqVbt09LSMG3aNIwbNw4ymQzz58/HSy+9hH379mna/Pjjj4iMjMSyZctw9uxZBAQEYNKkScjNzb1r30qlEkqlEj169EBubq7mvlKpRHV1NS5duqR3IQnoMDIpFotha2urmRJ269Yt2NjYNCgwAaCwsFDvMEKTSqWQSqWoqanBtWvXBBmZVChVGLXqUKNfIjURABcbC8RFjoFELIJYJIKFqUTzeEVNXbN9t6RtZY0CKjR9qogggqWZfm2rahVQ3uUUtDKrn4mtUqkw9qPDSC+sxKpHB2F6QOPFd9RtdelXm7aWphLNeV9dp4BCaZi2FiYSiG9P2aipU6JOqdSrrUKpwoS1R5BTUt3kc/9+ztzJ3ESiOVarUKJW0XwGM4kYJhKxzm3rFErU3KWtqUQMUz3aKpQqVNc1v3q0iVgMM5Om28al5GDeNhmcrc1x6F9jYWYi0bRVKlWo0rLfe7WViEUwN6k/31UqFSprDdO2pb/32pwzrrYW2L+g8TnTXL9Cf0YI2dbYPyP+7s7fe23bKpQqjPzwELJLmv+3ydXWAsfeegASsajdf0bcrW1n+IwwRFuVCpiw9ohW32dMxGJ+RujR1pg+I4CWf4/Q9t8m9edMW2rJrEWRSHTPkcm33noLu3fvRnJysubYk08+iVu3bmHv3r0AgOHDh+O+++7DJ598AqC+SPT09MQ///lPLFq0SPc3ZSBaXzO5ZcuW1sxhFCIiIhAREaE5YYSQkFbY7AcvAKgAZJdUYdB7+wEA4/o5Ycvsv4a3h7x/oNl/YIZ7O+DHV4M190etOozC8pom2/p3t0Xs3FGa+xPWHkHmrcom2/Zx7oq4yLGa+6GfHMOV3LIm23rYWeL3RQ9o7j/x+Qmcyyhusq1DFzOcfXciACApoxjphfWv/9bP5/HWz+cbtLU0leDi+5M191/77gwOX8prsl8A+PPDaZr/jtwuw57z2c22TVkxSfOPxts7kvHz2eYvUj6zZAK63R41/feui/j25I1m2/62cBw8HawAAP/dfwlfHL3ebNv9C8agr4s1AEB6+Co2HLzSbNu/+/s5c6cfXr4fwb271f93QjqWxlxotp/Nzw/FA/3rp7lHJ2bizZ/ONdtW+vRgTPOvn4qy70IOIr5vfiPcjx7zx+ND63/fjl7JwwtRp5ttuyJsIGYGewGo/1156suTzbZdPKU/Xh3bGwCQnFmMMOnvjdrkllbD7739mDe+DxZM7AsAuJpXhgfXHW2231fG9MLbUwcAADJvVWL06sPNtn3u/p54P9wPAFBYXoMh/z7QbNtHB3fHmicCAACVtQr4Lt3XbNupg1zx6TNDNPfv1laXzwg1FQB5cRVGfHgIpVVNf1k0ts8IAJi1OQGn0pr+gyY/I/4SEzESAZ52AIAtv6dh5a+pzbZVf0YkpBU2W0gCf50zCWmFCO7drcN8RqjxM6KeLt8jejl20fr7DD8j/tJePyMAw36PaMrfP2eEUFpaipKSEs19c3NzmJu3fLbciRMnMGHChAbHJk2apFmbpqamBmfOnMHixYs1j4vFYkyYMAEnTpxott+PP/4Yr7zyCiwsLPDxxx/fNcPrr7+uV3ati8lZs2bp9QKkm9zS5j94OzP1FFciajt3+0s7dS7a/tvEf8NIrfYuo1lELSHk54yvr2+D+8uWLcN7773X4n6zs7M169Koubi4oKSkBJWVlSgqKoJCoWiyTWpq88X+unXr8Mwzz8DCwgLr1q1rtp1IJNK7mNR6mmtnIuQCPCeuFdz1L6lqUbPvwzBvh04xzbVOocT9Kw8hv6wanz0ThLH9nJttq0u/2rY19ukpCWmFeH7LH80+V019ztyps05zBYCT1wrwwjenYWNhgt8XPQBrC1MAnWMKW0vOmeb65TRX4/2M+Dt9prBp+2+TepSiI3xGNNe2M3xGGKLtH38WYtZm7T5nhnt342eEHm2N6TMCaPn3CG3/bbpzNLStqGuDlJQUeHj8taOANiOT2kxz7du3L2bPnt1g5HHPnj2YNm0aKioqUFRUBA8PDxw/fhzBwX/NDli4cCGOHDmCU6dO6f/mWkjrkUlqG8O8HeBma4Hs4qomP0bV88VH93Fqcr74nR9u96JL2zs/uA3Z9s5/lJpz/FoB8suq4dDFDBN8XTVfFFrarz5t1f+QG7qtmYkYZlquh/X3tqP7OLXonFG780vYvejS1uSOfzwM2VYiFml9DjfVdmw/ZzhbmyO3tBonrxdiom/9X/vEOvSrS1uRqHXaArr/3hvqnLmTkJ8RxtTWGD8jDNFW23+b1H986AifEc3pDJ8Rhmg7ykf/zxl+RujeVujPCKDl3yO0/bepuT9ytgVra2vY2NgYvF9XV1fk5OQ0OJaTkwMbGxtYWlpCIpFAIpE02cbV1VWr17h+/Tp69eplsMxqOq3mSq1PIhZh2fT6IfS/f4VT31823bdT7bUTfXtvyWmD3LT+kOpMeM7oRyIWaRZyUu9f2lnwnCFd8ZwhXfGcIV115nMmODgYBw8ebHAsLi5OMwppZmaGIUOGNGijVCpx8ODBBiOVd+Pj44MePXrgueeew9dff42rV68aJDu/mRuhyX5u+OzZwXC1tWhw3NXWAp89O7hT7ctUWaPAvuT6i9rDgxqv4Er1eM7oJyyw/pw6cDEHZdXNT9fqiHjOkK54zpCueM6QrjrKOVNWVgaZTAaZTAagfusPmUyG9PR0AMDixYsxc+ZMTfs5c+bg+vXrWLhwIVJTU/Hpp59i+/btWLBggaZNZGQkvvzyS3zzzTe4ePEiXnvtNZSXl2P27NlaZbp58yZWrlwJS0tLrF69Gn379kX37t3xzDPP4KuvvtL/zaqokZs3b6oAqG7evClojjqFUnX8ar4q+pn5quNX81V1CqWgeYQQK8tU9Xxrl2rUqoMqpbLzvX9d8ZzRjVKpVI376LCq51u7VD+fEfb3XSg8Z0hXPGdIVzxnSFfGds7oWhscPnxYhfoFaBvcZs2apVKpVKpZs2apxo4d2+g5gYGBKjMzM1WvXr1UW7ZsadTvxo0bVT169FCZmZmphg0bpjp58qTe7+ny5cuqWbNmqUxMTFRisVjvfrSaGB8ZGal1cbp27VrdK1pqkkQsqr/AuOQaINASyEJTTz8MC/DQXJBOzeM5oxuRSITQQHesP3AFMbIsPDK4bRfcMgY8Z0hXPGdIVzxnSFft/ZwJCQmB6i6LMkVFRTX5nMTExLv2O3fuXMydO1evTBUVFTh27Bji4+MRHx+PxMRE9O/fH3PnzkVISIhefQJaLsBzrzemxi/7ZEhF5TWIv73HE6e4UmsJDagvJo9dzUd+WTUcu7Z8vygiIiIiY2JnZwd7e3s888wzWLRoEUaPHg17e/sW96tVMXn4cPMb7nYkUqkUUqkUNTVNb8BLbWv3eTnqlCr4utnAx9la6DjUQfVy6gr/7rY4l1GMPeflmg3PiYiIiDqKqVOn4tixY9i2bRuys7ORnZ2NkJAQ9O3bt0X9cgGeO0RERCAlJQXx8fFCRyEAsbIsAByVpNYXentV1+jEzrWqKxEREXUO0dHRyM/Px969exEcHIz9+/dj9OjR8PDwwDPPPKN3v3rtM3n69Gls374d6enpjUbxduzYoXcYIrWMogok/FkIkQgIDfC49xOIWiA0wB3/2XMRZ9NvIb2gAj26WQkdiYiIiMjgBg0ahLq6OtTU1KCqqgr79u3Djz/+iP/7v//Tqz+dRya3bduGESNG4OLFi/jll19QW1uLCxcu4NChQ7C1tdUrBNHfxSbVj0re792t0fLQRIbmbGOBEbcv8N95LkvgNERERESGtXbtWoSGhqJbt24YPnw4fvjhB/Tt2xc///wz8vLy9O5X55HJDz74AOvWrUNERASsra2xYcMGeHt749VXX4WbW/vY+4WMX0wip7hS2woL8MDvVwsQnZiJf4T05oJiRERE1GH88MMPGDt2LF555RWMHj3aYIOAOheT165dw7Rp0wAAZmZmKC8vh0gkwoIFC/DAAw9g+fLlBglGnddFeQku5ZTCTCJuN5vTUvs3yc8VS6KTcSW3DKnZpRjgZiN0JCIiIiKD+OOPP1qlX52nudrb26O0tBQA4OHhgeTkZADArVu3UFFRYdh01ClF395b8oH+zrC1NBU4DXUWtpameKC/M4C/zkEiIiIiap7OxeSYMWMQFxcHAHj88ccxb948vPzyy3jqqacwfvx4gwekzkWpVGEnV3ElgYQF1p9zO2VZUCqb32yYiIiIiPSY5vrJJ5+gqqoKAPDOO+/A1NQUx48fx6OPPoolS5YYPCB1Lgl/FiKruArWFiYI6ecsdBzqZMb1d4a1uQmyiqtw+kYRhnk7CB2JiIiIyGjpXEw6OPz15UosFmPRokUGDUSdW8ztUckpfq6wMJUInIY6GwtTCSb5ueKnMxmIkWWymCQiIiK6C52nuUokEuTm5jY6XlBQAImEX/5JfzV1Suw5LwcAhAdyb0kShnqq6+7zctTUKQVOQ0RERNRylZWVDda3uXHjBtavX4/9+/e3qF+di0mVqunriKqrq2FmZtaiMEKTSqXw9fVFSEiI0FE6pfhLuSiurIWLjTmG9+omdBzqpEb0doRjV3PcqqjFb1f033eJiIiIyFiEhYVh69atAOoXTh0+fDjWrFmDsLAwfPbZZ3r3q/U0148//hgAIBKJ8NVXX6Fr166axxQKBY4ePYr+/fvrHcQYREREICIiAhkZGfD09BQ6TqejnuIaGuAOiZh7/JEwJGIRpge4YcvvfyJGloXxA1yEjkRERETUImfPnsW6desAAD/99BNcXFyQmJiIn3/+GUuXLsVrr72mV79aF5PqF1epVNi0aVODKa1mZmbw8vLCpk2b9ApBVFpViwMXcwAAYZziSgILC/TAlt//RFxKDsqr69DFXOfLy4mIiIiMRkVFBaytrQEA+/fvxyOPPAKxWIz7778fN27c0Ltfrb8hpaWlAQDGjRuHHTt2wN7eXu8XJfq7vcnZqK5Twse5Kwa6c7N4ElZAd1v07GaFGwUVOHAxh3/gICIionbNx8cH0dHRePjhh7Fv3z4sWLAAAJCbmwsbG/2/e+t8zeThw4c1haRKpWr2GkoiXainuIYHukMk4hRXEpZIJNIUkNGJmQKnISIiImqZpUuX4o033oCXlxeGDx+O4OBgAPWjlEFBQXr3q3MxCQBbt27FoEGDYGlpCUtLS/j7++Pbb7/VOwR1brklVTh+LR8Ap7iS8QgNqF/V9eiVfBSUVQuchoiIiEh/jz32GNLT03H69Gns3btXc3z8+PGayxn1oXMxuXbtWrz22muYOnUqtm/fju3bt2Py5MmYM2dOi4JQ57XznBxKFTC4hx08HayEjkMEAPBx7go/DxsolCrsSc4WOg4RERGRXmpra2FiYoL8/HwEBQVBLP6rBBw2bFiLFlHVuZjcuHEjPvvsM6xatQqhoaEIDQ3F6tWr8emnn2pWfNXW0aNHMX36dLi7109tjI6Ovudz4uPjMXjwYJibm8PHxwdRUVGN2kilUnh5ecHCwgLDhw9HQkKCTrmobcXI6qcRhgdxVJKMS1hA/TkZK+NUVyIiImqfTE1N0aNHDygUCoP3rXMxKZfLMWLEiEbHR4wYAblcrlNf5eXlCAgIgFQq1ap9Wloapk2bhnHjxkEmk2H+/Pl46aWXsG/fPk2bH3/8EZGRkVi2bBnOnj2LgIAATJo0Cbm5uTplo7ZxPa8M5zKKIRGLMG2Qm9BxiBqYHuAOkQj4488iZBRV3PsJREREREbonXfewdtvv43CwkKD9qtzMenj44Pt27c3Ov7jjz+iT58+OvU1ZcoU/Pvf/8bDDz+sVftNmzbB29sba9aswYABAzB37lw89thjDabXrl27Fi+//DJmz54NX19fbNq0CVZWVti8ebNO2ahtRN9eeGdMH0d062oucBqihlxtLXC/dzcAQGxSlsBpiIiIiPTzySef4OjRo3B3d0e/fv0wePDgBjd9ab01yAMPPIAdO3Zg+fLlmDFjBo4ePYqRI0cCAH7//XccPHiwySLTkE6cOIEJEyY0ODZp0iTMnz8fAFBTU4MzZ85g8eLFmsfFYjEmTJiAEydONNtvdXU1qqv/WmCjtLTUsMGpSSqVilNcyeiFBbrjxPUCxMqy8I8QH6HjEBEREeksPDy8VfrVupiMj49HTU0NHn30UZw6dQrr1q3TXOM4YMAAJCQktGhZWW1kZ2fDxcWlwTEXFxeUlJSgsrISRUVFUCgUTbZJTU1ttt+VK1di+fLljR+YPRuwtDRI9hZJSABCQ4VOYXAyS2fc8H4YVspaTFz2T0BVJ3SkjqODnjNCmCI2w7v9ZiI1uxSpjz+P/tWGnR5iNHjOkK54zpCueM6QrozlnKmsFDpBiy1btqxV+tW6mLzTkCFD8N133xk6i2AWL16MyMhIzf3MzEz4+voCW7YA3bsLmOy20FAgNlboFAYXE3sBOP4nHhzcE1ardwgdp2PpoOeMEGwBhGw9jbiUHMS+uAj9J+u/4plR4zlDuuI5Q7riOUO6MpZzJiMD8PQUOkWL3bp1Cz/99BOuXbuGN998Ew4ODjh79ixcXFzg4aHfLEGdismUlBRkZ999iXx/f3+9gmjD1dUVOTk5DY7l5OTAxsYGlpaWkEgkkEgkTbZxdXVttl9zc3OYm/91vV5JSYlhg1MjdQoldp2rvwYtjFNcyciFB3ogLiUHMbIsvPFgP4jFIqEjEREREWnt3LlzmDBhAmxtbfHnn3/i5ZdfhoODA3bs2IH09HRs3bpVr351KibHjx8PlUrV7OMikahVlpxVCw4Oxp49exoci4uLQ3BwMADAzMwMQ4YMwcGDBzXzgpVKJQ4ePIi5c+e2Wi7S3bGr+cgvq4FDFzOM8nEUOg7RXY0f4IwuZhJk3qrE2fQiDPVyEDoSERERkdYiIyPx/PPPY/Xq1bC2ttYcnzp1Kp5++mm9+9WpmDx16hScnJz0frG/Kysrw9WrVzX309LSIJPJ4ODggB49emDx4sXIzMzUVMpz5szBJ598goULF+KFF17AoUOHsH37duzevVvTR2RkJGbNmoWhQ4di2LBhWL9+PcrLyzF79myD5aaWi729iutD/m4wlei8qDBRm7IwlWCSnyt2nM1EjCyLxSQRERG1K3/88Qc+//zzRsc9PDzuOfP0bnQqJnv06AFnZ2e9X+zvTp8+jXHjxmnuq69bnDVrFqKioiCXy5Genq553NvbG7t378aCBQuwYcMGdO/eHV999RUmTZqkaTNjxgzk5eVh6dKlyM7ORmBgIPbu3dtoUR4STmWNAvsu1J+0YYGc4krtQ1igB3aczcTu83Isne7LP4IQERFRu2Fubt7kpXyXL19u0WChXgvwGEpISMhdp81GRUU1+ZzExMS79jt37lxOazVicRdzUF6jQA8HKwzuYSd0HCKtjOzdDY5dzZBfVoNjV/Ixrr/h/rBGRERE1JpCQ0OxYsUKzVaOIpEI6enpeOutt/Doo4/q3a/Wf1ofO3YszMzM9H4hIrWYxPq9JcMC3SEScSETah9MJGI85O8OAJr9UYmIiIjagzVr1qCsrAzOzs6orKzE2LFj4ePjA2tra/znP//Ru1+tRyYPHz6s94sQqRWW1+DI5TwAnOJK7U9ooDuijv+J/Sk5qKipg5WZoJM7iIiIiLRia2uLuLg4HDt2DOfOnUNZWRkGDx6MCRMmtKhffhOiNrX7vBx1ShX8PGzg49xV6DhEOgnytIOngyVuFlbiwMVchAa4Cx2JiIiI6J6qqqpgYWGBUaNGYdSoUQbrlytIUJtST3EN56gktUMikQhhAfXnbiynuhIREVE7YWdnhzFjxuDdd9/FoUOHUFlZaZB+WUzeQSqVwtfXFyEhIUJH6ZBuFlbg9I0iiETQXHtG1N6EB9Wfu/GX8lBUXiNwGiIiIqJ7O3DgACZPnoxTp04hNDQU9vb2GDVqFN555x3ExcXp3S+LyTtEREQgJSUF8fHxQkfpkGKT6veWDO7VDa62FgKnIdKPj7M1fN1sUKdUYU+yXOg4RERERPc0atQovP3229i/fz9u3bqFw4cPw8fHB6tXr8bkyZP17lfnayYVCgWioqJw8OBB5ObmQqlUNnj80KFDeoehjkulUmlWwOQUV2rvwgLdkSIvQYwsC88M7yl0HCIiIqJ7unz5MuLj4zW36upqPPTQQy2alalzMTlv3jxERUVh2rRp8PPz49YOpJWL8lJczimDmYkYkwe5Ch2HqEWmB7hj5a+pSEgrRNatSrjbWQodiYiIiKhZHh4eqKysREhICEJCQvDWW2/B39+/xbWczsXktm3bsH37dkydOrVFL0ydi3pUcnx/Z9hYmAqchqhl3O0sMczbAQlphYhNysKcsb2FjkRERETULCcnJ6SmpiI7OxvZ2dnIyclBZWUlrKysWtSvztdMmpmZwcfHp0UvSp2LUqnSXC/JvSWpo1BP146RZQmchIiIiOjuZDIZsrOzsWjRIlRXV+Ptt9+Go6MjRowYgXfeeUfvfnUuJv/1r39hw4YNUKlUer8odS6n0gohL66CjYUJxvV3EjoOkUFM8XOFqUSEi/ISXM4pFToOERER0V3Z2dkhNDQUb7/9NhYvXozHHnsMf/zxBz788EO9+9R5muuxY8dw+PBh/Prrrxg4cCBMTRtOWdyxY4feYahjUk9xnTrIDeYmEoHTEBmGfRczjO3rhAMXcxEry8Ibk/oJHYmIiIioSTt27NAsvJOSkgIHBweMGjUKa9aswdixY/XuV+di0s7ODg8//LDeL0idS3WdAnvO12+fEBrIvSWpYwkN9MCBi7mIScrEvx7sywXJiIiIyCjNmTMHY8aMwSuvvIKxY8di0KBBBulX52Jyy5YtBnlh6hziL+WhpKoOrjYWuN+7m9BxiAxq4gAXWJlJcLOwEmfTb2FIT3uhIxERERE1kpub2yr96nzNJJEu1FNcQwPdIRZz1IY6FkszCSYNrN/qJvb2uU5ERERkbM6ePYvz589r7sfExCA8PBxvv/02ampq9O5Xr2Lyp59+whNPPIH7778fgwcPbnBrz6RSKXx9fVu0cSf9paSqFgcu1v8VJIxTXKmDUk/f3nVOjjqFUuA0RERERI29+uqruHz5MgDg+vXrePLJJ2FlZYX//e9/WLhwod796lxMfvzxx5g9ezZcXFyQmJiIYcOGoVu3brh+/TqmTJmidxBjEBERgZSUFMTHxwsdpUPYm5yNmjol+jh3ha+bjdBxiFrFKB9HOHQxQ0F5DX6/ViB0HCIiIqJGLl++jMDAQADA//73P4wZMwbff/89oqKi8PPPP+vdr87F5KeffoovvvgCGzduhJmZGRYuXIi4uDi8/vrrKC4u1jsIdTzqKa7hQR5cmIQ6LFOJGNMGuQH465wnIiIiMiYqlQpKZf0MqgMHDmDq1KkAAE9PT+Tn5+vdr87FZHp6OkaMGAEAsLS0RGlp/f5qzz33HH744Qe9g1DHklNSheO3R2lCAzjFlTq28KD6c3xfcjYqaxQCpyEiIiJqaOjQofj3v/+Nb7/9FkeOHMG0adMAAGlpaXBxcdG7X52LSVdXVxQWFgIAevTogZMnT2qCqFQqvYNQx7IzKQsqFTC0pz08HayEjkPUqgb3sEd3e0uU1yhwMDVH6DhEREREDaxfvx5nz57F3Llz8c4778DHxwdA/Vo46oFCfei8NcgDDzyA2NhYBAUFYfbs2ViwYAF++uknnD59Go888ojeQahjib493S8syEPgJEStTyQSITTAHZ/GX0OMLAsP+XM0noiIiIyHv79/g9Vc1T766CNIJBK9+9W5mPziiy80820jIiLQrVs3HD9+HKGhoXj11Vf1DkIdx9XcMiRnlsBELNJcS0bU0YUFeuDT+GuIv5SL4opa2FqZCh2JiIiIqIGamhrk5uZq6jm1Hj166NWfzsWkWCyGWPzX7Ngnn3wSTz75pF4vTh2Ter+9MX2d4NDFTOA0RG2jn6s1+rtaIzW7FHuS5XhqmH4fykRERESGdvnyZbz44os4fvx4g+MqlQoikQgKhX5rPuhcTALAb7/9hs8//xzXrl3DTz/9BA8PD3z77bfw9vbGqFGj9ApCHYNKpUK0LAsA95akzics0AOpe1MRI8tkMUlERERGY/bs2TAxMcGuXbvg5uZmsJ0WdC4mf/75Zzz33HN45plnkJiYiOrqagBAcXExPvjgA+zZs8cgwah9Srx5C+mFFbAyk2Cir/4rQxG1R9MD3LBqbypOpRVCXlwJN1tLoSMRERERQSaT4cyZM+jfv79B+9V5Ndd///vf2LRpE7788kuYmv51TdDIkSNx9uxZg4aj9icmsX6K66SBrrAy02vgm6jd6m5vhfu87KFSAbuS5ELHISIiIgIA+Pr6tmg/yeboXExeunQJY8aMaXTc1tYWt27dMkQmwUilUvj6+iIkJEToKO1SrUKJXefqv0Bziit1VqGB9SsYxyRlCpyEiIiIqN6qVauwcOFCxMfHo6CgACUlJQ1u+tJrn8mrV682On7s2DH06tVL7yDGICIiAikpKYiPjxc6Srt07Go+Cspr4NjVDKN8HIWOQySIaYPcYCIWITmzBFdzy4SOQ0RERIQJEybg5MmTGD9+PJydnWFvbw97e3vY2dnB3t5e7351nof48ssvY968edi8eTNEIhGysrJw4sQJvPHGG3j33Xf1DkLtn3qK60P+7jCR6Px3CqIOwaGLGcb0dcKh1FzEyjIR+WA/oSMRERFRJ3f48OFW6VfnYnLRokVQKpUYP348KioqMGbMGJibm+ONN97AP//5z9bISO1ARU0d9qfkAABCOcWVOrmwQHccSs1FTFIWFkzsa7AV04iIiIj0MXbs2GYfS05O1rtfnYePRCIR3nnnHRQWFiI5ORknT55EXl4e3n//fb1DUPsXl5KDihoFenazQpCnndBxiAQ1YYALLE0luFFQgaSMYqHjEBERETVQWlqKL774AsOGDUNAQIDe/eg9F9HMzAy+vr4YNmwYunbtqncA6hhi1HtLBrhzFIY6vS7mJnhwYP3WONGJXIiHiIiIjMPRo0cxa9YsuLm54b///S8eeOABnDx5Uu/+tJ7m+sILL2jVbvPmzXqHofapsLwGRy/nAQDCgjwETkNkHMIC3REjy8Kuc3IsmTaA1xETERGRILKzsxEVFYWvv/4aJSUleOKJJ1BdXY3o6Gj4+vq2qG+tv91ERUXh8OHDuHXrFoqKipq9Ueez+1wW6pQqDPKwRW8njlITAcDoPk6wtzJFflk1TlwvEDoOERERdULTp09Hv379cO7cOaxfvx5ZWVnYuHGjwfrXemTytddeww8//IC0tDTMnj0bzz77LBwcHAwWhNqvaPUUVy68Q6RhKhFj6iA3/N+pdMTIsjC6j5PQkYiIiKiT+fXXX/H666/jtddeQ58+fQzev9Yjk1KpFHK5HAsXLsTOnTvh6emJJ554Avv27YNKpTJ4MGofbhZW4MyNIohFQGgAi0miO4UF1k/73pucjapahcBpiIiIqLM5duwYSktLMWTIEAwfPhyffPIJ8vPzDda/ThfxmJub46mnnkJcXBxSUlIwcOBA/OMf/4CXlxfKyrg5d2cUI6tfXGREb0c421gInIbIuAztaQ8PO0uUVdfhUGqu0HGIiIiok7n//vvx5ZdfQi6X49VXX8W2bdvg7u4OpVKJuLg4lJaWtqh/vVeEEIvFEIlEUKlUUCg6xl/cpVIpfH19ERISInSUdkGlUmmmuHJvSaLGxGIRpt8esVf/4YWIiIiorXXp0gUvvPACjh07hvPnz+Nf//oXPvzwQzg7OyM0NFTvfnUqJqurq/HDDz9g4sSJ6Nu3L86fP49PPvkE6enpHWJ7kIiICKSkpCA+Pl7oKO1CirwEV3PLYGYixmQ/V6HjEBkl9bXEh1PzUFxZK3AaIiIi6uz69euH1atXIyMjAz/88EOL+tJ6AZ5//OMf2LZtGzw9PfHCCy/ghx9+gKOjY4tenNo39d6SEwY4w8bCVOA0RMapv6s1+rp0xeWcMuxLzsYT93kKHYmIiIgIEokE4eHhCA8P17sPrYvJTZs2oUePHujVqxeOHDmCI0eONNlux44deoeh9kOhVCFWs4or95Ykao5IJEJYoAc+2ncJ0bJMFpNERETUYWhdTM6cORMikag1s1A7ciqtANklVbCxMEFIP255QHQ3oQHu+GjfJZy4XoCckiq4cLEqIiIi6gC0LiajoqJaMQa1NzGJ9aOS0/zdYG4iETgNkXHzdLDCkJ72OHOjCDuTsvDS6F5CRyIiIqJWJpVK8dFHHyE7OxsBAQHYuHEjhg0b1mTb2tparFy5Et988w0yMzPRr18/rFq1CpMnT9a0USgUeO+99/Ddd98hOzsb7u7ueP7557FkyRLBBv30Xs3VkKRSKby8vGBhYYHhw4cjISGh2ba1tbVYsWIFevfuDQsLCwQEBGDv3r0N2rz33nsQiUQNbv3792/tt9FpVNUqsCdZDoBTXIm0pV6IJzYpS+AkRERE1Np+/PFHREZGYtmyZTh79iwCAgIwadIk5OY2vVXYkiVL8Pnnn2Pjxo1ISUnBnDlz8PDDDyMxMVHTZtWqVfjss8/wySef4OLFi1i1ahVWr16NjRs3Ntnn4MGDUVRUBABYsWIFKioqDP4+BS8mW+MHDQADBw6EXC7X3I4dO9YWb6dTiL+Ui9KqOrjbWmCYl4PQcYjahamD3CARi3AuoxjX87gvLxERUUe2du1avPzyy5g9ezZ8fX2xadMmWFlZYfPmzU22//bbb/H2229j6tSp6NWrF1577TVMnToVa9as0bQ5fvw4wsLCMG3aNHh5eeGxxx7Dgw8+2OxA3MWLF1FeXg4AWL58OcrKDP/9Q+tprq3lzh80UL/Qz+7du7F582YsWrSoUftvv/0W77zzDqZOnQoAeO2113DgwAGsWbMG3333naadiYkJXF25XUVriL49xXV6oDvEYl5HS6QNx67mGN3HEfGX8hAjy8KCiX2FjkREREStoKamBmfOnMHixYs1x8RiMSZMmIATJ040+Zzq6mpYWDRcU8HS0rLBgNiIESPwxRdf4PLly+jbty+SkpJw7NgxrF27tsk+AwMDMXv2bIwaNQoqlQr//e9/m93OcenSpbq+TQACF5Ot9YMGgCtXrsDd3R0WFhYIDg7GypUr0aNHD8O/iU6muLIWhy7VjxqHBXCKK5EuwgLdEX8pD7FJWZg/oQ8XNSMiImpHSktLUVJSorlvbm4Oc3PzRu3y8/OhUCjg4uLS4LiLiwtSU1Ob7HvSpElYu3YtxowZg969e+PgwYPYsWMHFAqFps2iRYtQUlKC/v37QyKRQKFQ4D//+Q+eeeaZJvuMiorCsmXLsGvXLohEIvz6668wMWlc/olEovZZTLbWD3r48OGIiopCv379IJfLsXz5cowePRrJycmwtrZu1Gd1dTWqq6s190tLSw30DjuefcnZqKlToq9LVwxwa/yzJKLmTfR1hYXpeaTll+N8ZjH8u9sJHYmIiIi05Ovr2+D+smXL8N577xmk7w0bNuDll19G//79IRKJ0Lt3b8yePbvBtNjt27fj//7v//D9999j4MCBkMlkmD9/Ptzd3TFr1qxGffbr1w/btm0DUD9gd/DgQTg7Oxskr5rg01x1pc0PesqUKZr/9vf3x/Dhw9GzZ09s374dL774YqM+V65cieXLlzd+sdmzAUvLVnkfOklIAEJDhU4BAIju+RDQxQNh5w5CFLbm3k8gYRjROUN/6Qpggsd47LL1Qczyz+Cf0/QMDEHwnCFd8ZwhXfGcIV0ZyzlTWQkASElJgYfHXzPzmhqVBABHR0dIJBLk5OQ0OJ6Tk9PsZXhOTk6Ijo5GVVUVCgoK4O7ujkWLFqFXr79WgH/zzTexaNEiPPnkkwCAQYMG4caNG1i5cmWTxeSdlErlvd+nHgQtJlvrB/13dnZ26Nu3L65evdrk44sXL0ZkZKTmfmZmZv1fHrZsAbp31+OdGVhoKBAbK3QKZBdX4cSHBwEVELZ2EWBvJXQkao6RnDPUWHhKDnZtPY2dXvfh7c8XQWIs1x3znCFd8ZwhXfGcIV0ZyzmTkQF4esLa2ho2Njb3bG5mZoYhQ4bg4MGDCA8PB1BfzB08eBBz586963MtLCzg4eGB2tpa/Pzzz3jiiSc0j1VUVEAsbrh+qkQi0bpQvHbtGtavX4+LFy8CqB9pnTdvHnr37q3V85si6Gqud/6g1dQ/6ODg4Ls+V/2Drqurw88//4ywsLBm25aVleHatWtwc3Nr8nFzc3PY2Nhobk1NhSVgZ1IWVCrgPi97dGchSaSXMX2dYGtpitzSapy8XiB0HCIiImoFkZGR+PLLL/HNN9/g4sWLeO2111BeXq5ZdHTmzJkN1o05deoUduzYgevXr+O3337D5MmToVQqsXDhQk2b6dOn4z//+Q92796NP//8E7/88gvWrl2Lhx9++J559u3bB19fXyQkJMDf3x/+/v44deoUBg4ciLi4OL3fp+DTXCMjIzFr1iwMHToUw4YNw/r16xv9oD08PLBy5UoA9T/ozMxMBAYGIjMzE++9916jH/Qbb7yB6dOno2fPnsjKysKyZcsgkUjw1FNPCfIeO4poWSYA7i1J1BJmJmJMHeSGHxLSESPLxEgfR6EjERERkYHNmDEDeXl5WLp0KbKzsxEYGIi9e/dq1opJT09vMMpYVVWFJUuW4Pr16+jatSumTp2Kb7/9FnZ2dpo2GzduxLvvvot//OMfyM3Nhbu7O1599VWtFs9ZtGgRFixYgA8//LDR8bfeegsTJ07U630KXky2xg86IyMDTz31FAoKCuDk5IRRo0bh5MmTcHJyauu312FczS3FhawSmIhFmDao6RFeItJOWKA7fkhIx6/J2VgR5gcLU4nQkYiIiMjA5s6d2+y01vj4+Ab3x44di5SUlLv2Z21tjfXr12P9+vU6Z7l48SK2b9/e6PgLL7ygV39qgheTgOF/0OpVi8hw1HtLhvRzgn0XM4HTELVvw7wc4GZrAXlxFeIv5WGyH/fEJSIiotbj5OQEmUyGPn36NDguk8latMKrURSTZNxUKhVikuqnuIZyiitRi4nFIoQGuOPzo9cRI8tkMUlERESt6uWXX8Yrr7yC69evY8SIEQCA33//HatWrWqwEKmuWEzSPZ1Nv4WbhZXoYibBxAEu934CEd1TaGB9MXkwNRclVbWwsTAVOhIRERF1UO+++y6sra2xZs0azcI/7u7ueO+99/D666/r3a+gq7lS+xBze+GdSQNdYWnGa7uIDMHXzQY+zl1RU6fEvuRsoeMQERFRByYSibBgwQJkZGSguLgYxcXFyMjIwLx58yAS6b9NGYtJuqtahRK7zskBAGFBnOJKZCgikQhhAe4AgNikLIHTEBERUWdhbW1tsK0QWUzSXR27ko/C8ho4djXDyN7dhI5D1KGot9n5/Wo+ckurBE5DREREpBsWk3eQSqXw9fVFSEiI0FGMhnpvyYf83WEi4elCZEg9ulkhqIcdlCpgV5Jc6DhEREREOmF1cIeIiAikpKQ02o6ksyqvrsP+CzkAgHBOcSVqFeqprjGc6kpERETtDItJalZcSg4qaxXw6maFgO62Qsch6pCm+btDLAKSbt7Cn/nlQschIiKiDqa2thbjx4/HlStXDN43i0lqlnqKa2igR4tWeSKi5jlZm2OkjyMALsRDREREhmdqaopz5861St8sJqlJBWXV+O1KPgAgPNBd4DREHVv47YV4omWZUKlUAqchIiKijubZZ5/F119/bfB+TQzeI3UIu8/LoVCq4N/dFr2cugodh6hDe3CgC8x/EeN6XjkuZJXAz4PTyomIiMhw6urqsHnzZhw4cABDhgxBly5dGjy+du1avfplMUlNik6sn+Kq3rqAiFqPtYUpJgxwwe7zcsTIMllMEhERkUElJydj8ODBAIDLly83eKwll7OxmKRG0gsqcDb9FsQiYHqAm9BxiDqF0EB37D4vR2xSFhZNGQCJmNcpExERkWEcPny4VfrlNZPUSMzthXdG+jjC2dpC4DREnUNIPyfYWJggp6Qap9IKhI5DREREHdDVq1exb98+VFZWAkCL12pgMUkNqFQqzSqunOJK1HbMTSSYOqh+JkCsjKu6EhERkeEUFBRg/Pjx6Nu3L6ZOnQq5XA4AePHFF/Gvf/1L735ZTN5BKpXC19cXISEhQkcRzIWsElzLK4e5iRiTBroIHYeoUwm9vXLynvNyVNcpBE5DREREHcWCBQtgamqK9PR0WFlZaY7PmDEDe/fu1btfFpN3iIiIQEpKCuLj44WOIhj1wjsTBrjA2sJU4DREnctw725wsTFHSVUdjlzKEzoOERERdRD79+/HqlWr0L179wbH+/Tpgxs3bujdL4tJ0lAoVdh5rn56XRj3liRqcxKxCNP963/3YpI41ZWIiIgMo7y8vMGIpFphYSHMzc317pfFJGmcul6AnJJq2FqaIqSfs9BxiDql8KD6a5UPpOSgtKpW4DRERETUEYwePRpbt27V3BeJRFAqlVi9ejXGjRund7/cGoQ01AvvTB3kBjMT/p2BSAgD3W3Qy6kLrueVY/+FHDw6pPu9n0RERER0F6tXr8b48eNx+vRp1NTUYOHChbhw4QIKCwvx+++/690vKwYCAFTVKvDr+WwAQDinuBIJRiQSISygfnSSU12JiIjIEPz8/HD58mWMGjUKYWFhKC8vxyOPPILExET07t1b7345MkkAgMOpuSitroO7rQXu83IQOg5RpxYW6I51By7j96v5yCuthpO1/tcyEBEREQGAra0t3nnnHYP2yWKSAPw1xTU00ANisUjgNESdm5djFwR42iHp5i3sPpeF50d6Cx2JiIiI2rmioiJ8/fXXuHjxIgDA19cXs2fPhoOD/gNJnOZKKK6oxeHU+m0IwoM4xZXIGIQFcFVXIiIiMoyjR4/Cy8sLH3/8MYqKilBUVISPP/4Y3t7eOHr0qN79spgk/JosR41Cif6u1ujvaiN0HCIC8JC/G8QiIDH9FtILKoSOQ0RERO1YREQEZsyYgbS0NOzYsQM7duzA9evX8eSTTyIiIkLvfllMEmJk9SMfoVx4h8hoONtYYERvRwBAbFKmwGmIiIioPbt69Sr+9a9/QSKRaI5JJBJERkbi6tWrevfLYvIOUqkUvr6+CAkJETpKm8kursLJtAIAQGgAi0kiY6L+A0+0LAsqlUrgNERERNReDR48WHOt5J0uXryIgIAAvfvlAjx3iIiIQEREBDIyMuDp6Sl0nDYRm5QJlQoY5uWA7vZWQschojtM9nPFkuhkXM0tQ4q8BAPdbYWORERERO3EuXPnNP/9+uuvY968ebh69Sruv/9+AMDJkychlUrx4Ycf6v0aLCY7uejE+imuYVx4h8jo2FiYYnx/Z/yanI1YWRaLSSIiItJaYGAgRCJRg9lNCxcubNTu6aefxowZM/R6DRaTndiVnFKkyEtgKhFh2iA3oeMQURPCAt3ri8mkLLw1uT+37iEiIiKtpKWltfprsJjsxNR7S47t6ww7KzOB0xBRU0L6OcPawgTy4ir88WchhvfqJnQkIiIiagd69uzZ6q/BYrKTUqlUmlVcubckkfGyMJVgip8rtp/OQLQsi8UkERER6SUrKwvHjh1Dbm4ulEplg8def/11vfpkMdlJnblRhIyiSnQxk2DCABeh4xDRXYQFemD76QzsOS/H8tCBMDPhQtxERESkvaioKLz66qswMzNDt27dIBL9ddmMSCRiMUm6UU9xneTnCgtTyT1aE5GQ7u/VDU7W5sgrrcbRy3mY4Ms/ABEREZH23n33XSxduhSLFy+GWGy4P0rzz9udUK1Cid3n5ACA8EAPgdMQ0b1IxCJM96+fjh6TlCVwGiIiImpvKioq8OSTTxq0kARYTHZKv13JQ1FFLRy7mmNEb15/RdQehAXWF5NxKdkor64TOA0RERG1Jy+++CL+97//GbxfTnPthNR7S04PcIOJhH9PIGoP/LvbwtuxC9Lyy7E/JRsPB3UXOhIRERG1EytXrsRDDz2EvXv3YtCgQTA1NW3w+Nq1a/Xql8XkHaRSKaRSKWpqaoSO0mrKq+sQl5IDgFNcidoTkUiE0AB3bDh4BTGyLBaTREREpLWVK1di37596NevHwA0WoBHXywm7xAREYGIiAhkZGTA09NT6DitYn9KNiprFfB27AL/7rZCxyEiHYQG1heTv13JR0FZNbp1NRc6EhEREbUDa9aswebNm/H8888btF/Ocexk1FNcwwLdW/RXCCJqe72dumKQhy0UShX2nJcLHYeIiIjaCXNzc4wcOdLg/bKY7ETyy6px7Go+gPp964io/VEvxBMt46quREREpJ158+Zh48aNBu+X01w7kV1JWVAoVQi4vZAHEbU/0wPc8Z89F3HmRhFuFlbA08FK6EhERERk5BISEnDo0CHs2rULAwcObLQAz44dO/Tql8VkJ6Len46jkkTtl4uNBYJ7dcPxawWITcpCxDgfoSMRERGRkbOzs8Mjjzxi8H5ZTHYSNwrKkZh+C2IR8FCAm9BxiKgFwgLd64tJGYtJIiIiurctW7a0Sr9Gcc2kVCqFl5cXLCwsMHz4cCQkJDTbtra2FitWrEDv3r1hYWGBgIAA7N27t0V9dgYxt6+vGunjCGdrC4HTEFFLTPZzg5lEjEs5pUjNLhE6DhEREXVSgheTP/74IyIjI7Fs2TKcPXsWAQEBmDRpEnJzc5tsv2TJEnz++efYuHEjUlJSMGfOHDz88MNITEzUu8+OTqVSIVqWCYB7SxJ1BLaWphjX3wnAXys0ExERETXH29sbvXr1avamL8GLybVr1+Lll1/G7Nmz4evri02bNsHKygqbN29usv23336Lt99+G1OnTkWvXr3w2muvYerUqVizZo3efXZ0yZkluJ5XDgtTMSb5uQodh4gMQH3t886kLCiVKoHTEBERkTGbP38+5s2bp7n94x//QHBwMIqLi/HKK6/o3a+g10zW1NTgzJkzWLx4seaYWCzGhAkTcOLEiSafU11dDQuLhtM0LS0tcezYsRb1WV1drblfWlqq93syRupRyQkDXNDVnJfJEnUED/R3RldzE2TeqsSZ9CLc5+UgdCQiIiIyUvPmzWvyuFQqxenTp/XuV9DKIj8/HwqFAi4uLg2Ou7i4IDU1tcnnTJo0CWvXrsWYMWPQu3dvHDx4EDt27IBCodC7z5UrV2L58uWNH5g9G7C01OOdGVhCAhAaqtdTFRBhZ59nANMuCN+1Bdj2nmGzkXFqwTlD7YMFgEnuIfjZrh9iPvgK92Ufa1mHPGdIVzxnSFc8Z0hXxnLOVFYKnaDVTJkyBYsXL9Z7gZ52N0y1YcMGvPzyy+jfvz9EIhF69+6N2bNnt2gK6+LFixEZGam5n5mZCV9fX2DLFqB7d0PEbpnQUCA2Vq+nnriSj9yvT8HOyhRjtm4ATASf2UxtoQXnDLUf4Vfy8PPXCdjdPRDLPnsDppIW/H7znCFd8ZwhXfGcIV0ZyzmTkQF4egqdolX89NNPcHDQf3aToMWko6MjJBIJcnJyGhzPycmBq2vT1/Y5OTkhOjoaVVVVKCgogLu7OxYtWqS5cFSfPs3NzWFubq65X1LScVZHjLk9xXXqIDeYsZAk6lCCe3WDY1dz5JdV47creXigv8u9n0RERESdTlBQEEQikea+SqVCdnY28vLy8Omnn+rdr6DFpJmZGYYMGYKDBw8iPDwcAKBUKnHw4EHMnTv3rs+1sLCAh4cHamtr8fPPP+OJJ55ocZ8dTVWtAnuTswFwFVeijshEIsZD/m6IOv4nYmRZLCaJiIioSeq6SE0sFsPJyQkhISHo37+/3v0KPs01MjISs2bNwtChQzFs2DCsX78e5eXlmD17NgBg5syZ8PDwwMqVKwEAp06dQmZmJgIDA5GZmYn33nsPSqUSCxcu1LrPzuJQai5Kq+vgYWeJoT3thY5DRK0gLNAdUcf/xP4LOaioqYOVmeAf60RERGRkli1b1ir9Cv6tY8aMGcjLy8PSpUuRnZ2NwMBA7N27V7OATnp6OsTiv6ZnVlVVYcmSJbh+/Tq6du2KqVOn4ttvv4WdnZ3WfXYW0Yn1U1xDA90hFovu0ZqI2qNATzv07GaFGwUViEvJ0WwZQkRERNTaBC8mAWDu3LnNTkGNj49vcH/s2LFISUlpUZ+dQXFFLeIv5QHgFFeijkwkEiEswB0fH7qKGFkWi0kiIiLSEIvFDa6VbIpIJEJdXZ1e/RtFMUmGtydZjhqFEv1drdHP1VroOETUikID64vJo5fzUFheA4cuZkJHIiIiIiPwyy+/NPvYiRMn8PHHH0OpVOrdP4vJDko9xTU8iKMURB2dj7M1Brrb4EJWCfacl+PZ+3sKHYmIiIiMQFhYWKNjly5dwqJFi7Bz504888wzWLFihd79c6+IDijrViVOpRUCAEID3AVOQ0RtISyw/nc9VpYlcBIiIiIyRllZWXj55ZcxaNAg1NXVQSaT4ZtvvkHPnvr/EZrFZAe0M6n+y+Qwbwe421kKnIaI2sL0AHeIREDCn4XIKKoQOg4REREZieLiYrz11lvw8fHBhQsXcPDgQezcuRN+fn4t7pvF5B2kUil8fX0REhIidJQWib49MsGFd4g6DzdbSwz3dgAA7EySC5yGiIiIjMHq1avRq1cv7Nq1Cz/88AOOHz+O0aNHG6x/XjN5h4iICERERCAjIwOenp5Cx9HL5ZxSXJSXwFQiwtRBrkLHIaI2FBbogZPXCxEjy8RrIb2FjkNEREQCW7RoESwtLeHj44NvvvkG33zzTZPtduzYoVf/LCY7GPXCOyH9nGFnxRUdiTqTKX6uWBqTjNTsUlzKLuVKzkRERJ3czJkz77k1SEuwmOxAlEoVYjjFlajTsrMyw9i+zjhwMQexSZl407W/0JGIiIhIQFFRUa3aP6+Z7EDOpBch81YlupqbYPwAZ6HjEJEAwoPqV3WNkWVBpVIJnIaIiIg6MhaTHYh6iutkP1dYmEoETkNEQhjf3wVdzCTIKKrE2fQioeMQERFRB8ZisoOoqVNi9/n6FRw5xZWo87I0k2DSwPrFt2K45yQRERG1IhaTHcTRy3m4VVELJ2tzBPfuJnQcIhJQaGD9VNfd5+SoVSgFTkNEREQdFYvJDiImqX4EYrq/OyTi1luxiYiM3ygfR3TrYoaC8hocu5ovdBwiIiLqoFhMdgBl1XWIS8kG8NfiG0TUeZlIxHjI3w0AEMuprkRERNRKWEx2APsvZKOqVolejl0wyMNW6DhEZARCb187ve9CNiprFAKnISIioo6IxeQdpFIpfH19ERISInQUnUTfHnkIC/Ro1U1Jiaj9GNzDDt3tLVFRo8CBizlCxyEiIqIOiMXkHSIiIpCSkoL4+Hiho2gtr7Qax67kAQDCAjnFlYjqiUQizWcCV3UlIiKi1sBisp3bdS4LShUQ6GkHL8cuQschIiOi3iboyOVc3KqoETgNERFR5yKVSuHl5QULCwsMHz4cCQkJzbatra3FihUr0Lt3b1hYWCAgIAB79+5t1C4zMxPPPvssunXrBktLSwwaNAinT59uzbdxVywm2zn1FNdwjkoS0d/0cbHGADcb1CpU2HM+W+g4REREncaPP/6IyMhILFu2DGfPnkVAQAAmTZqE3NzcJtsvWbIEn3/+OTZu3IiUlBTMmTMHDz/8MBITEzVtioqKMHLkSJiamuLXX39FSkoK1qxZA3t7+7Z6W42wmGzH0vLLkXTzFiRiEab5s5gkosb+muqaKXASIiKizmPt2rV4+eWXMXv2bPj6+mLTpk2wsrLC5s2bm2z/7bff4u2338bUqVPRq1cvvPbaa5g6dSrWrFmjabNq1Sp4enpiy5YtGDZsGLy9vfHggw+id+/ebfW2GmEx2Y6pl/wf6eMIJ2tzgdMQkTGaHlBfTCb8WYisW5UCpyEiIur4ampqcObMGUyYMEFzTCwWY8KECThx4kSTz6muroaFhUWDY5aWljh27JjmfmxsLIYOHYrHH38czs7OCAoKwpdfftk6b0JLLCbbKZVKpRlp4BRXImqOh50lhnk7QKUCdiZxIR4iIiJ9lZaWoqSkRHOrrq5usl1+fj4UCgVcXFwaHHdxcUF2dtOXnUyaNAlr167FlStXoPz/9u48PobzjwP4Z7M5djd3yCVyOCMh4lZU42yi6uhFXY1SSqNoq9SvNFQ19FDaKi0l2ip6uOomlYgzWreESISgiRBH7nOf3x+RkZFzSbIJn/frtS925pmZZ2afncx3n0urxe7du7F+/XokJCRIaS5evIglS5agSZMm2LlzJ8aPH4+JEydi1apVlXeSOmIwWUudvnYXF2+mQ2VkgGebO+g7O0RUg3FUVyIiokfn6ekJS0tL6RUUFFRp+160aBGaNGmCZs2awdjYGBMmTMDrr78OA4P74ZpWq0WbNm3w6aefonXr1hg7dizGjBmDpUuXVlo+dMVgspbaeLzgobC3pwPMTAz1nBsiqsmea+EIQwMFIhNScOF6qr6zQ0REVCtFRkbi7t270mv69Oklpqtbty6USiWuX5fP83z9+nU4OJRcCWRra4uNGzciPT0dly9fxrlz52BmZoaGDRtKaRwdHeHp6SnbzsPDA/Hx8Y94Zg+PwWQtlK8V+OsUR3ElooqxNjWGT1NbAMBmNnUlIiJ6KObm5rCwsJBeJiYlj1libGyMtm3bIiQkRFqm1WoREhKCTp06lXkMlUoFJycn5OXl4c8//8SAAQOkdV26dMH58+dl6aOjo+Hq6voIZ/VoGEzWQgdjb+JGajasNUZ45t4DIhFRWfoXaeoqhNBzboiIiB5v7777LpYtW4ZVq1YhKioK48ePR3p6Ol5//XUAwGuvvSar2Txy5AjWr1+PixcvIjw8HH5+ftBqtZg6daqU5p133sHhw4fx6aefIiYmBr/++it++OEHBAQEVPv5FWL7yCIWL16MxYsXIyenZk/uXdjEtW9LRxgp+XsAEZWvt6c9NMZKxN/KwPErd9DGRX9zUhERET3uBg8ejBs3buCjjz5CYmIiWrVqhR07dkiD8sTHx8v6Q2ZlZWHGjBm4ePEizMzM8Nxzz+Hnn3+GlZWVlKZ9+/bYsGEDpk+fjo8//hgNGjTAwoULMWzYsOo+PQmDySICAgIQEBCAq1evwtnZWd/ZKVFWbj52ni0YBWpAKyc954aIaguNsSGe9bTHxhP/YfOJ/xhMEhERVbEJEyZgwoQJJa4LDQ2Vvffx8UFkZGS5+3z++efx/PPPV0b2KgWrtWqZkKgkpGXnwclKjbZ8GCQiHRT+ALXl1H/Iy9fqOTdERERU2zGYrGU23ptbckCrejAwUOg5N0RUmzzdpC5sTI1xMy0HB2OT9Z0dIiIiquUYTNYidzJyEHo+CQAwsDWbuBKRboyUBujr5Qjg/g9TRERERA+LwWQtsu10InLzBTwcLdDU3lzf2SGiWmjAvVFdd55JRFZuvp5zQ0RERLUZg8lapLAmgXNLEtHDauNiDScrNdJz8hESlaTv7BAREVEtxmCylrh2JxMRcbegUNyfL46ISFcGBooic06yqSsRERE9PAaTtcTmEwVzS3ZsYANHS7Wec0NEtVlhU9fQ8zdwNyNXz7khIiKi2orBZC2xSWriyoF3iOjRNHOwQDMHc+Tka7H9TIK+s0NEj7l8rcCh2GRssmiEQ7HJyNcKfWeJiCqJob4zQKXL1wpExN3CiTreOJeYCiMDBfq0cNR3tojoMdC/VT2c23Eem078h1c7uOg7O0T0mNpxJgGz/4pEwt0soH4vYNlhOFqqENjPE358piGq9VgzWcTixYvh6emJbt266Tsr2HEmAU/P/xtDlh3GfPunABT0dTp08aaec0ZEj4N+LQuauh6OS0bi3Sw954aIHkc7ziRg/C/HCgLJIhLvZmH8L8ewgy0jiGo9BpNFBAQEIDIyEqGhoXrNR2k33+w8LW++RFQpnG00aOdqDSGALaf+03d2iOgxk68VmP1XJEpq0Fq4bPZfkWzySlTLMZisYcq6+RbizZeIKsOA1gV9sH85cpl9mYjokWTm5OPC9VT8fe46Vh28hLd/Lf6jeFECQMLdLKyJiEdGTl71ZZSIKhX7TNYwEXG3KnTzjYi7hU6N6lRfxojosaMyLPg98dLNDExiXyYiKkNevhYJd7Nw5VYGrtzOwJVbmff+zUD8rUzcTMt+qP3O2HgGMzaegbONGu725mha5NXIzhQmhspKPhMiqkwMJmuYpNSK9V2qaDoiopLsOJOAqX+cKra8sC/TkuFtGFASPUGEELiZliMFiAWvewHj7Qz8dyer3JYL5iaGcLbRwNlGDaVCgW1nEss9roXKCClZuQXHupWJPVFJ0jqlgQKudTSyINPdwQyudUxhpGTjOqKagMFkDWNnrqrUdEREDyqvL5MCBc3pe3s6QGmgqObcEVFVSS0M2u4FjFdvZyL+1v3/Z+bml7m9sdIA9a3VqG+jgYuNGs7WmoLg0boggLRUG0GhKLhn5GsFjs//G4l3s0q81ygAOFiqsH9aD9zNzEX09VREX0/F+cRUXLiehvPXU3E3MxcXb6Tj4o10bC8SmBorDdDQ1vRecGmOJnZmcHcwh7O1Bga8ZxFVqxoRTC5evBiff/45EhMT4e3tjW+++QYdOnQoNf3ChQuxZMkSxMfHo27dunj55ZcRFBQElaogwJo1axZmz54t28bd3R3nzp2r0vOoDB0a2MDRUlXuzbdDA5vqzhoRPSYq2pz++W/C0dTeHA4WKthZqGBvYQJ7CxXszVWwszCByojNz4hqkuy8fFy7nYkrtzOl5qhX7wWP8bcycCcjt8ztFQrA0UKF+kUCRBeb+wGjnblJhYM1pYECgf08Mf6XY1AAsmeawj0E9vOE0kABG1NjPNWwDp5qeL/7jhACSanZUoBZEGym4cL1VKTn5ONcYirOJaYCJ+/vV22kRGM7M6kGs4m9OdztzeFoqZKCXCKqXHoPJtetW4d3330XS5cuRceOHbFw4UL4+vri/PnzsLOzK5b+119/xQcffIAVK1agc+fOiI6OxsiRI6FQKLBgwQIpXfPmzbFnzx7pvaGh3k+1QnS5+RIRPYyKNpOPSkhFVEJqqeutNEZSYGlvoYLDvYCzIPAs+L+tmQkM2RyNqFJotQLXU7PuNQktCBCLBoyJKVkQ5YyhZa0xutcU9X7AWFjDWM9KVal9FP1aOGLJ8Db355m8x6ECfbMVCsW9+4gKXZvYSsu1WoFrdzJxISkV5xMLgsvz11NxISkNmbn5OH3tLk5fuyvbl7mJIZrYm92rxSyozWxqb466ZsYMMokekd4jrAULFmDMmDF4/fXXAQBLly7F1q1bsWLFCnzwwQfF0h88eBBdunTB0KFDAQBubm4YMmQIjhw5IktnaGgIBweHqj+BKvAoN18iovJUtJn8hO6NYKk2RmJKFq6nZCEpJRvXU7OQeDcL2Xla3MnIxZ2MXJy/XnrAqVAAdc1MCmo1zQtqOB2K1HIWBqI2GmM2T6MnnhACdzJySxjgpqAZ6rXbmcjJ15a5D7WRUhYgFgSNaun/ZibV++jn18IRvT0dEBF3C0mBn8Bu9gx0aGDz0D+KGxgopHPp0cxeWp6vFYi/lVGkFrPgdfFGOlKz83As/g6Oxd+R7ctaY3S/qey9Wsym9maw0hg/yikTPVH0Gkzm5OTg33//xfTp06VlBgYG6NWrFw4dOlTiNp07d8Yvv/yCiIgIdOjQARcvXsS2bdswYsQIWboLFy6gXr16UKlU6NSpE4KCguDi4lKl51OZKvvmS0RUqKLN6d/p7V7iPUcIgZTMPFxPLQgyr6dk3/v3/vuklCwkpWYjTytwIzUbN1KzcQYppebJSKmAXWEtp/n9Gk6HIrWcdhYqWKgMWZNAtVpmTr58kBupSWomrt7KQGp22dNkGBooUM9KLQsY61vfb45ax7Tm1bYpDRQFI9CnxAJVNBK90kCBBnVN0aCuKfxa3K9MyMnT4lJy+gNBZhouJafjdkYujsTdwpG4W7J92ZmbSLWXTe0Lms02sTev9kCcqDbQ67fi5s2byM/Ph729vWy5vb19qf0bhw4dips3b+Lpp5+GEAJ5eXkYN24c/ve//0lpOnbsiODgYLi7uyMhIQGzZ89G165dcebMGZibmxfbZ3Z2NrKz7w9pnZpa+q/s1ak6br5E9OR51Ob0CoUClhojWN77Vb80Wq1AcnpOQa1m6oNBZ7b0b3J6NnLzC5quXbuTWWbe1UZKeVNa83v9OC2L/N9CBbUx+3OSfjw4hUZ80VFRKziFhq25CZyt5f0V698LHh0tVWw6rgNjQwNpJNiisnLzEZOUVtAn8/q9QX8SU3HtTiaSUrORlJqN8As3Zds4WamLBZmN7czYf5yeaLXuJ5bQ0FB8+umn+O6779CxY0fExMRg0qRJmDNnDmbOnAkA6NOnj5S+ZcuW6NixI1xdXfHbb79h9OjRxfYZFBRUbMAeAMDrrwNqdZWdS4VFRAD9++s7F1SbsMxQOfwALDFvgNkOnZFgZCYtd8hNQ2DiQfj97/tHPoYBANt7r7LkwgA3DNW4bmSK64YaJBkW/JtoZIokQw2uG5riupEGd5UqZObm41JyBi4lZ5S5T/P8bNjnZcAhNx12eemwz8uAfe69f/PSYZ+bAdu8DBij7CaDVIYn9D4jANxQqnHF2AJXjcxxxdgcV4zMEW9sgStG5kgwMkO+ouxgzzw/G845qXDOTYVzbgpccgr+dc5JRf3cVKhE2aOq1lo1qMyoALS49yoqzcAIF0ysEW1ijWgTG0SbWOO8iQ2SjEylH7z+Pnd/+hIDoYVrTgqaZt9G0+xbaJp9G+7Zt+CWfZf3l8pQU8pMZtk/dD7JFEKU11W76uTk5ECj0eCPP/7AwIEDpeX+/v64c+cONm3aVGybrl274qmnnsLnn38uLfvll18wduxYpKWlwcCg5Bt4+/bt0atXLwQFBRVb92DN5LVr1+Dp6YkrV66gfv36j3CGlaR/f2DzZn3ngmoTlhmqoHytqDXN6bNy85GUki314bx+rynt9ZSCfpxJqdlIvJtV7vQGRdUxNb7XnLawD6dK6t9ZUONpgjqmJjX2mujVY3yfKZxCo6Cvorw5aoWn0JCaocqn0HCx0cBSY1RNZ1LD1OIycycjB9H3piy5UGSE2duljJBraKCQpi+5P0emOVxsNLyf6KKGlJmrV6/C2dm55sQGNYheayaNjY3Rtm1bhISESMGkVqtFSEgIJkyYUOI2GRkZxQJGpbKgeUFpcXFaWhpiY2OL9assZGJiAhMTE+l9Skrp/XqIiB4ntak5vcpICZc6GrjU0ZSaRgiBtOy8EpvUJt0bPOh6SjaSUrOQm1/QDDc5PQdRCaUfV2mggO29QYTsShm11sFCJZtjj2q2YlNo3GuSWtgcVZcpNFyKjor6EFNoUO1gpTFGhwY2sqnZhBC4mZZzf37MpMIgMw1p2XmIvp6G6OtpAO7fYEwMDdDYzgzu9/phujsUNJd1slLz/kG1kt6bub777rvw9/dHu3bt0KFDByxcuBDp6enS6K6vvfYanJycpBrFfv36YcGCBWjdurXUzHXmzJno16+fFFROmTIF/fr1g6urK/777z8EBgZCqVRiyJAhejtPIiKqegqFAuYqI5irjNDYzqzUdEII3M7ILajVTMlC0gP9OAsD0Ztp2cjXCiTeSwfcLXWfxoYGslpNu3tBZtFRa+0tVBzEoxpo731m8gFuCqbQiL+Vgeup5U+hYWNqDGdrdfE5F601qGelhrEh+y0+6RQKBWzNTWBrboIujetKy4UQSLibVaQWs6Bv5oWkVGTlanH2vxSc/U9ecWFqrJRGlC2cxqSpvTnszE0YZFKNpve/aIMHD8aNGzfw0UcfITExEa1atcKOHTukQXni4+NlNZEzZsyAQqHAjBkzcO3aNdja2qJfv36YO3eulObq1asYMmQIkpOTYWtri6effhqHDx+GrW15PXeIiOhJoFAUTJRuY2oMD0eLUtPl5WulQYSu32tim1RsEKEs3M7IRU6e9t78f2X3rTEzMZSNWmsv1XDef29rbsJBPcpQdAoN+QA3uk+h4WKjQX1r/U+hQY8PhaJgxN16Vmp0d78/Z3q+VuDq7Yx7tZhpUlPZ2BtpSM/Jx4krd3Diyh3ZvizVRsUCzKb25rAx5fQlVDPUiDvlhAkTSm3WGhoaKntvaGiIwMBABAYGlrq/tWvXVmb2iIjoCWWoNJACvbJk5ebjRmq2NGpt4t0sXE+9NzdnkeAzLTuv4HUjDxdvpJe5T2uN0f1+nNJItfLgs66ZcbWP7Cn1s7VoBLvY5CrrZ1vSFBrxt+4HjGkPMYVG0YCxJk6hQY83pYECrnVM4VrHFM82v788N1+Ly8npUg1m4Qizl26m425mLiIu3ULEJfn0JXXNTODuYIYmduayEWbNVU9of1zSmxoRTBIREdVmKiOlFKyUJS07T2pSW7QPZ0Hgeb/2MydPi9sZubidkYtziaVPV6VQFDxUyvpxFtZ4Wt7/v7XGuFL68O04k4DZf0Ui4W4WUL8XsOwwHC1VCOznCb8Wjjrtq3AKjfgS+ixeuZWBm2k55e7DztxEXqMoBY1qOFhwCg2qHYyUBmhsZ47Gduboi/vfo6zcfFy8kV5kfsyCILNwipmbMdk4EJMs21c9SxWaFqnBdL83fQmnS6KqwmCSiIiompiZGMLM1gwNbcvuz3k3M/eBQYSKNKtNzUbSvZFs87UCN1KzcSM1G6evlX5cI6UCdg80q7Ur0r/TwbIgEDU3MSy1tm7HmQSM/+UYHuxqmHg3C+N/OYYlw9vIAkohBG6kZePKrUxcvZ2B+GR5wJhwNwv52rI7LpqrDKURUIsOcONso0Z9aw2bAtNjTWWkhGc9C3jWkzfFT8/OQ0xSkZFlr6chOjEViSlZ+O9uwSv0/A0pvUIBuNhoZPNjNrU3R0NbU5gY8jtEj4bBJBERUQ2iUChgpTGGlcYY7g7mpabL1wokp2cXaUpbvE9nUmoWbqblIDdfSHPklUVtpCw2am1Bc1oTfLwlslggCUBaNvWPUzgQcxNX742SevV2BrJyy+63aGxogPrW8ik0XGzuT6PxxE6hQVQGUxNDeDtbwdvZSrb8bmYuLlxPvTeK7P0RZm+m5eBycgYuJ2dgd+R1Kb3SQIEGdU2lALNwhFm3OhrW6lOFMZgkIiKqhZQGBbWNduYqtHCyLDVdTp4WN9LuTY9SpIazIPC8X/uZkpWHzNx8XErOwKXkDJ3zk5KVh58Px8uWKRRAPUt1QcD4wBQaLjYa2JpxCg2iymKpNkI7Nxu0c7ORLb+Zll0wmuy9eTKj7w38k5JVUMMZk5SGbacTpfTGSgM0sjOTBZlN7c1R31rN7ysVw2CyiMWLF2Px4sXIySm/nwYREVFtYGxoACcrNZys1GWmy8zJv9+k9l5T2oKgMxuR/91FbDkDBgFALw879GhmL9UycgoNIv2ra2aCumYm6NxIPn3J9ZTsItOXpN6bviQNGTn5iEpIQVSCfPoStZESTe3NpClMCvpmmsHBQsXBrJ5gDCaLCAgIQEBAAK5evQpnZ2d9Z4eIiKjaqI2VcKtrCre6psXWHYpNxpBlh8vdx+inG6JTozpVkT0iqkQKhQIOlio4WKrg0/T+1HlabUGT+POJqYhOKqzFTEPMjTRk5ubj5NW7OHlVPt+uucpQaiLrbm8mDQBU18zkofNXXaNG06NjMElERERl6tDABo6WKiTezSqx36QCgIOlCh0a2JSwlohqCwMDhTQydS9Pe2l5Xr4Wl29l3KvFvD+FycWb6UjNysM/l2/jn8u3ZfuqY2p8f9CfwhFm7czL7QtdmaNGU9VjMElERERlUhooENjPE+N/OQYFIAsoC+sKAvt5suaA6DFlqDRAI1szNLI1g1+L+8uz8/IRdzO9YNCfxFSp2ezlWxlITs/BoYvJOHRRPn2Jg4UKTezNijSVNUcTOzOYmhjqPGo06R+DSSIiIiqXXwtHLBne5n6NwT0OrDEgemKZGCrRzMECzRwsAO/7yzNz8hGTlCabH/PC9TRcu5OJxHsDgIVfuCnbV31rFW6k5pQ6arQCwOy/ItHb04E/XNUgDCaJiIioQvxaOKK3p0NBX6bAT2A3ewb7MhFRMWpjJbzqW8Krvnyk6dSsXFxIKlqLWTDC7I3UbFy9nVXK3goIAAl3sxARd4t9s2sQBpNERERUYUoDRcGDXEoswAc6ItKBucoIbVys0cbFWrb8dnoOVh6Iw9d/x5S7j6TUsoNOql4cr5uIiIiIiPTG2tQYnYpMXVIWO3NVFeeGdMFgkoiIiIiI9Kpw1OjSGs0rADhy1Ogah8EkERERERHpVeGo0QCKBZQcNbrmYjBJRERERER6VzhqtIOlvCmrg6WK04LUUByAp4jFixdj8eLFyMnJ0XdWiIiIiIieOBw1unZhzWQRAQEBiIyMRGhoqL6zQkRERET0RCocNXpASiw6NarDQLIGYzBJREREREREOmMwSURERERERDpjMElEREREREQ6YzBJREREREREOmMwSURERERERDpjMElEREREREQ6YzBJREREREREOmMwSURERERERDpjMElEREREREQ6YzBZxOLFi+Hp6Ylu3brpOytEREREREQ1GoPJIgICAhAZGYnQ0FB9Z4WIiIiIiKhGYzBJREREREREOmMwSURERERERDoz1HcGaiKtVgsASEhI0HNO7snMBK5e1XcuqDZhmSFdscyQrlhmSFcsM6SrGlJmCmOCwhiB7lMIIYS+M1HTHD16FB06dNB3NoiIiIiIqIaIiIhA+/bt9Z2NGoXBZAny8vJw/Phx2Nvbw8CgeEvgbt26VdsgPampqfD09ERkZCTMzc2r5ZhA9Z4jj1e59FFmqvt66uOYj/PxWGZ4PF09CWWGZbRyscw8Hsd8UsuMVqvF9evX0bp1axgasmFnUbwaJTA0NCzzVwdjY2PUr1+/WvKSkpICAHBycoKFhUW1HBOo3nPk8SqXPspMdV9PfRzzcT4eywyPp6snocywjFYulpnH45hPcplxcXGpljzUNhyA5yEEBAToOwtVrrrPkcer3fRxfo/7Z8gyU/uP+bgfr7o9CdfzSTjH6vQkXM8n4Ryr0+N+flWBzVxruJSUFFhaWuLu3bvVWjNJtRfLDOmKZYZ0xTJDumKZIV2xzNQOrJms4UxMTBAYGAgTExN9Z4VqCZYZ0hXLDOmKZYZ0xTJDumKZqR1YM0lEREREREQ6Y80kERERERER6YzBJBEREREREemMwSQRERERERHpjMEkERERERER6YzBZDXbt28f+vXrh3r16kGhUGDjxo3lbhMaGoo2bdrAxMQEjRs3RnBwcLE0ixcvhpubG1QqFTp27IiIiIjKzzxVu6ooL0FBQWjfvj3Mzc1hZ2eHgQMH4vz581VzAlTtquoeU2jevHlQKBSYPHlypeWZ9Kuqysy1a9cwfPhw1KlTB2q1Gl5eXvjnn38q/wSo2lVFmcnPz8fMmTPRoEEDqNVqNGrUCHPmzAHHiXw86FpmEhISMHToUDRt2hQGBgal/s35/fff0axZM6hUKnh5eWHbtm2Vn3kqE4PJapaeng5vb28sXry4Qunj4uLQt29fdO/eHSdOnMDkyZPxxhtvYOfOnVKadevW4d1330VgYCCOHTsGb29v+Pr6IikpqapOg6pJVZSXsLAwBAQE4PDhw9i9ezdyc3Px7LPPIj09vapOg6pRVZSZQkePHsX333+Pli1bVna2SY+qoszcvn0bXbp0gZGREbZv347IyEh8+eWXsLa2rqrToGpUFWVm/vz5WLJkCb799ltERUVh/vz5+Oyzz/DNN99U1WlQNdK1zGRnZ8PW1hYzZsyAt7d3iWkOHjyIIUOGYPTo0Th+/DgGDhyIgQMH4syZM5WZdSqPIL0BIDZs2FBmmqlTp4rmzZvLlg0ePFj4+vpK7zt06CACAgKk9/n5+aJevXoiKCioUvNL+lVZ5eVBSUlJAoAICwurjGxSDVKZZSY1NVU0adJE7N69W/j4+IhJkyZVcm6pJqisMjNt2jTx9NNPV0UWqYaprDLTt29fMWrUKFmaF198UQwbNqzS8ko1Q0XKTFGl/c0ZNGiQ6Nu3r2xZx44dxZtvvvmIOSRdsGayhjt06BB69eolW+br64tDhw4BAHJycvDvv//K0hgYGKBXr15SGnpylFdeSnL37l0AgI2NTZXmjWqmipaZgIAA9O3bt1haevJUpMxs3rwZ7dq1wyuvvAI7Ozu0bt0ay5Ytq+6sUg1RkTLTuXNnhISEIDo6GgBw8uRJ7N+/H3369KnWvFLt8TDPPFT5DPWdASpbYmIi7O3tZcvs7e2RkpKCzMxM3L59G/n5+SWmOXfuXHVmlWqA8sqLWq2WrdNqtZg8eTK6dOmCFi1aVGdWqYaoSJlZu3Ytjh07hqNHj+opl1STVKTMXLx4EUuWLMG7776L//3vfzh69CgmTpwIY2Nj+Pv76ynnpC8VKTMffPABUlJS0KxZMyiVSuTn52Pu3LkYNmyYnnJNNV1p5SoxMVFPOXoyMZgkeoIFBATgzJkz2L9/v76zQjXUlStXMGnSJOzevRsqlUrf2aFaQqvVol27dvj0008BAK1bt8aZM2ewdOlSBpNUot9++w2rV6/Gr7/+iubNm0t9K+vVq8cyQ1SDMZis4RwcHHD9+nXZsuvXr8PCwgJqtRpKpRJKpbLENA4ODtWZVaoByisvRU2YMAFbtmzBvn37UL9+/erMJtUg5ZWZf//9F0lJSWjTpo20Pj8/H/v27cO3336L7OxsKJXK6s426VFF7jOOjo7w9PSUpfHw8MCff/5ZbfmkmqMiZeb999/HBx98gFdffRUA4OXlhcuXLyMoKIjBJJWotHLF59/qxT6TNVynTp0QEhIiW7Z792506tQJAGBsbIy2bdvK0mi1WoSEhEhp6MlRXnkBACEEJkyYgA0bNuDvv/9GgwYNqjubVIOUV2Z69uyJ06dP48SJE9KrXbt2GDZsGE6cOMFA8glUkftMly5dik05FB0dDVdX12rJI9UsFSkzGRkZMDCQP5YqlUpotdpqySPVPhUpV1QN9D0C0JMmNTVVHD9+XBw/flwAEAsWLBDHjx8Xly9fFkII8cEHH4gRI0ZI6S9evCg0Go14//33RVRUlFi8eLFQKpVix44dUpq1a9cKExMTERwcLCIjI8XYsWOFlZWVSExMrPbzo8pVFeVl/PjxwtLSUoSGhoqEhATplZGRUe3nR5WvKsrMgzia6+OlKspMRESEMDQ0FHPnzhUXLlwQq1evFhqNRvzyyy/Vfn5U+aqizPj7+wsnJyexZcsWERcXJ9avXy/q1q0rpk6dWu3nR5VP1zIjhJDSt23bVgwdOlQcP35cnD17Vlp/4MABYWhoKL744gsRFRUlAgMDhZGRkTh9+nS1ntuTjsFkNdu7d68AUOzl7+8vhCi4mfr4+BTbplWrVsLY2Fg0bNhQrFy5sth+v/nmG+Hi4iKMjY1Fhw4dxOHDh6v+ZKjKVUV5KWl/AEosV1T7VNU9pigGk4+Xqiozf/31l2jRooUwMTERzZo1Ez/88EPVnwxVi6ooMykpKWLSpEnCxcVFqFQq0bBhQ/Hhhx+K7Ozs6jkpqlIPU2ZKSu/q6ipL89tvv4mmTZsKY2Nj0bx5c7F169bqOSGSKIQQogoqPImIiIiIiOgxxj6TREREREREpDMGk0RERERERKQzBpNERERERESkMwaTREREREREpDMGk0RERERERKQzBpNERERERESkMwaTREREREREpDMGk0RETxCFQoGNGzfqvN358+fh4OCA1NTUys8UPZLg4GBYWVnpOxt64ebmhoULFwIAcnJy4Obmhn/++Ue/mSIieoIwmCQiqgYjR46EQqEo9vLz89N31ipk+vTpePvtt2Fubi4tO3XqFLp27QqVSgVnZ2d89tlnOu931qxZsuthaWmJrl27IiwsrDKzXyl++OEHdOvWDRYWFlAoFLhz506Ftw0ODkbLli2hUqlgZ2eHgIAAnY4dGhpaYvmZMWMGBg8ejOjoaB3PRnc1PWg1NjbGlClTMG3aNH1nhYjoiWGo7wwQET0p/Pz8sHLlStkyExMTPeWm4uLj47FlyxZ888030rKUlBQ8++yz6NWrF5YuXYrTp09j1KhRsLKywtixY3Xaf/PmzbFnzx4AwK1bt/DFF1/g+eefx9WrV2FpaVmp5/IoMjIy4OfnBz8/P0yfPr3C2y1YsABffvklPv/8c3Ts2BHp6em4dOnSQ+Xh/PnzsLCwkN6bmZlBrVZDrVY/1P4eN8OGDcN7772Hs2fPonnz5vrODhHRY481k0RE1cTExAQODg6yl7W1tbReoVBgyZIl6NOnD9RqNRo2bIg//vhDto/Tp0+jR48eUKvVqFOnDsaOHYu0tDRZmhUrVqB58+YwMTGBo6MjJkyYIFt/8+ZNvPDCC9BoNGjSpAk2b95cZr5/++03eHt7w8nJSVq2evVq5OTkSMd69dVXMXHiRCxYsEDn62JoaChdD09PT3z88cdIS0uT1bYtWLAAXl5eMDU1hbOzM9566y3ZeV++fBn9+vWDtbU1TE1N0bx5c2zbtk1af+bMGfTp0wdmZmawt7fHiBEjcPPmTZ3yOXnyZHzwwQd46qmnKrzN7du3MWPGDPz0008YOnQoGjVqhJYtW6J///46HbuQnZ2drPyYmZkVqzGcNWsWWrVqhZ9//hlubm6wtLTEq6++KmuirNVqERQUhAYNGkCtVsPb27tYWSsqNDQUr7/+Ou7evSvVis6aNQtAyU2nraysEBwcDAC4dOkSFAoF1q9fj+7du0Oj0cDb2xuHDh2SbbN//3507doVarUazs7OmDhxItLT06X1SUlJ6NevH9RqNRo0aIDVq1cXy6e1tTW6dOmCtWvXVvCKEhHRo2AwSURUg8ycORMvvfQSTp48iWHDhuHVV19FVFQUACA9PR2+vr6wtrbG0aNH8fvvv2PPnj2yYHHJkiUICAjA2LFjcfr0aWzevBmNGzeWHWP27NkYNGgQTp06heeeew7Dhg3DrVu3Ss1TeHg42rVrJ1t26NAhPPPMMzA2NpaW+fr64vz587h9+zaA+00zdamFy87OxsqVK2FlZQV3d3dpuYGBAb7++mucPXsWq1atwt9//42pU6dK6wMCApCdnY19+/bh9OnTmD9/PszMzAAAd+7cQY8ePdC6dWv8888/2LFjB65fv45BgwZVOF8Pa/fu3dBqtbh27Ro8PDxQv359DBo0CFeuXJGlUygUUvBVGWJjY7Fx40Zs2bIFW7ZsQVhYGObNmyetDwoKwk8//YSlS5fi7NmzeOeddzB8+PBSmxd37twZCxcuhIWFBRISEpCQkIApU6bolKcPP/wQU6ZMwYkTJ9C0aVMMGTIEeXl5Un79/Pzw0ksv4dSpU1i3bh32798vK9sjR47ElStXsHfvXvzxxx/47rvvkJSUVOw4HTp0QHh4uE55IyKihySIiKjK+fv7C6VSKUxNTWWvuXPnSmkAiHHjxsm269ixoxg/frwQQogffvhBWFtbi7S0NGn91q1bhYGBgUhMTBRCCFGvXj3x4YcflpoPAGLGjBnS+7S0NAFAbN++vdRtvL29xccffyxb1rt3bzF27FjZsrNnzwoAIjIyUgghxJEjR4S7u7u4evVqqfsODAwUBgYG0vVQKBTCwsKizPwIIcTvv/8u6tSpI7338vISs2bNKjHtnDlzxLPPPitbduXKFQFAnD9/vszjlGTv3r0CgLh9+3a5aYOCgoSRkZFwd3cXO3bsEIcOHRI9e/YU7u7uIjs7W0rn7u4u1q9fX+4xHyw/N2/eFCtXrhSWlpZS2sDAQKHRaERKSoq07P333xcdO3YUQgiRlZUlNBqNOHjwoOwYo0ePFkOGDCk1Dw8epxAAsWHDBtkyS0tLsXLlSiGEEHFxcQKAWL58ubS+sKxERUVJx36wPIWHhwsDAwORmZkpzp8/LwCIiIgIaX1UVJQAIL766ivZdosWLRJubm6lngcREVUe9pkkIqom3bt3x5IlS2TLbGxsZO87depU7P2JEycAAFFRUfD29oapqam0vkuXLtBqtTh//jwUCgX+++8/9OzZs8x8tGzZUvq/qakpLCwsSqzhKZSZmQmVSlXmPkvSoUMHnDt3rtx07u7uUlPb1NRUrFu3Dq+88gr27t0r1Yju2bMHQUFBOHfuHFJSUpCXl4esrCxkZGRAo9Fg4sSJGD9+PHbt2oVevXrhpZdeks7z5MmT2Lt3r1RTWVRsbCyaNm2q87mVpE+fPlKNmKurK86ePQutVovc3Fx8/fXXePbZZwEAa9asgYODA/bu3QtfX18AqNB1AgpqiYsOglS0mXRRbm5usnSOjo7SZxwTE4OMjAz07t1btk1OTg5at24NoKAf6+XLlwEAXbt2xfbt2yuUv7IULXeOjo4ACpquNmvWDCdPnsSpU6dkTVeFENBqtYiLi0N0dDQMDQ3Rtm1baX2zZs1KHBBIrVYjIyPjkfNLRETlYzBJRFRNTE1NizU5rUwVHYTFyMhI9l6hUECr1Zaavm7dulLT1UIODg64fv26bFnhewcHhwrlo5CxsbHsurRu3RobN27EwoUL8csvv+DSpUt4/vnnMX78eMydOxc2NjbYv38/Ro8ejZycHGg0Grzxxhvw9fXF1q1bsWvXLgQFBeHLL7/E22+/jbS0NPTr1w/z588vduzCoKYyLF++HJmZmQDuX+PC/Xt6ekrpbG1tUbduXcTHx+t8jAYNGlRoRNWyPuPCvqZbt26V9YMF7g8ItW3bNuTm5gIov1wpFAoIIWTLCrctLU8KhQIAZHl68803MXHixGLbubi46DRa7a1bt2Bra1vh9ERE9PAYTBIR1SCHDx/Ga6+9JntfWFvk4eGB4OBgpKenS7WTBw4cgIGBAdzd3WFubg43NzeEhISge/fulZan1q1bIzIyUrasU6dO+PDDD5GbmysFCbt374a7u3uptWW6UCqVUmD277//QqvV4ssvv4SBQUFX/99++63YNs7Ozhg3bhzGjRuH6dOnY9myZXj77bfRpk0b/Pnnn3Bzc4OhYdX92XswMAMKao6BglFY69evD6Ag2Ll58yZcXV2rLC9l8fT0hImJCeLj4+Hj41NimpLyZmxsjPz8/GLLbW1tkZCQIL2/cOGCzjWDbdq0QWRkZKk/tjRr1gx5eXn4999/0b59ewAF17Sk6VnOnDkjfWeIiKhqcQAeIqJqkp2djcTERNnrwRFFf//9d6xYsQLR0dEIDAxERESENAjJsGHDoFKp4O/vjzNnzmDv3r14++23MWLECNjb2wMoGMnzyy+/xNdff40LFy7g2LFjsik9Hoavry8OHTokCySGDh0KY2NjjB49GmfPnsW6deuwaNEivPvuu1KaiIgINGvWDNeuXStz/3l5edL1uHDhAj755BNERkZiwIABAIDGjRsjNzcX33zzDS5evIiff/4ZS5cule1j8uTJ2LlzJ+Li4nDs2DHs3bsXHh4eAAoG57l16xaGDBmCo0ePIjY2Fjt37sTrr79eYnBUmsTERJw4cQIxMTEACkbWPXHiRJmDFzVt2hQDBgzApEmTcPDgQZw5cwb+/v5o1qyZLOBv1qwZNmzYUOG8PApzc3NMmTIF77zzDlatWoXY2FipnKxatarU7dzc3JCWloaQkBDcvHlTChh79OiBb7/9FsePH8c///yDcePGFasZLc+0adNw8OBBTJgwASdOnMCFCxewadMmqey7u7vDz88Pb775Jo4cOYJ///0Xb7zxRom1puHh4VKTYiIiqmL67rRJRPQk8Pf3FwCKvdzd3aU0AMTixYtF7969hYmJiXBzcxPr1q2T7efUqVOie/fuQqVSCRsbGzFmzBiRmpoqS7N06VLh7u4ujIyMhKOjo3j77bdlxyhrsJSS5Obminr16okdO3bIlp88eVI8/fTTwsTERDg5OYl58+bJ1hcOGhMXF1fqvgMDA2XXQ6PRCC8vL7FkyRJZugULFghHR0ehVquFr6+v+Omnn2SD4EyYMEE0atRImJiYCFtbWzFixAhx8+ZNafvo6GjxwgsvCCsrK6FWq0WzZs3E5MmThVarFUIUDC5T3p/EB/Na+Crr2gkhxN27d8WoUaOElZWVsLGxES+88IKIj4+XpSlvP2UN+lPSADze3t6yNF999ZVwdXWV3mu1WrFw4UKpnNja2gpfX18RFhZW5rmMGzdO1KlTRwAQgYGBQgghrl27Jp599llhamoqmjRpIrZt21biADzHjx+X9nP79m0BQOzdu1daFhERIXr37i3MzMyEqampaNmypWyAqoSEBNG3b19hYmIiXFxcxE8//SRcXV1lA/AcPHhQWFlZiYyMjDLPg4iIKodCiAc6OhARkV4oFAps2LABAwcO1HdWilm8eDE2b96MnTt36jsrVSIwMBBhYWEIDQ3Vd1boEQwePBje3t743//+p++sEBE9EdhnkoiIyvXmm2/izp07SE1NlY0S+rjYvn07vv32W31ngx5BTk4OvLy88M477+g7K0RETwzWTBIR1RA1uWaSiIiI6EGsmSQiqiH42x4RERHVJhzNlYiIiIiIiHTGYJKIiIiIiIh0xmCSiIiIiIiIdMZgkoiIiIiIiHTGYJKIiIiIiIh0xmCSiIiIiIiIdMZgkoiIiIiIiHTGYJKIiIiIiIh0xmCSiIiIiIiIdMZgkoiIiIiIiHTGYJKIiIiIiIh0xmCSiIiIiIiIdMZgkoiIiIiIiHTGYJKIiIiIiIh0xmCSiIiIiIiIdMZgkoiIiIiIiHTGYJKIiIiIiIh0xmCSiIiIiIiIdMZgkoiIiIiIiHTGYJKIiIiIiIh0xmCSiIiIiIiIdMZgkoiIiIiIiHTGYJKIiIiIiIh0xmCSiIiIiIiIdMZgkoiIiIiIiHTGYJKIiIiIiIh0xmCSiIiIiIiIdMZgkoiIiIiIiHTGYJKIiIiIiIh0xmCSiIiIiIiIdMZgkoiIiIiIiHTGYJKIiIiIiIh0xmCSiIiIiIiIdMZgkoiIiIiIiHTGYJKIiIiIiIh0xmCSiIiIiIiIdMZgkoiIiIiIiHTGYJKIiIiIiIh0xmCSiIiIiIiIdMZgkoiIiIiIiHTGYJKIiIiIiIh0xmCSiIiIiIiIdMZgkoiIiIiIiHTGYJKIiIiIiIh0xmCSiIiIiIiIdMZgkoiIiIiIiHTGYJKIiIiIiIh0xmCSiIiIiIiIdMZgkoiIiIiIiHTGYJKIiIiIiIh0xmCSiIiIiIiIdMZgkoiIiIiIiHTGYJKIiIiIiIh0xmCSiIiIiIiIdMZgkoiIiIiIiHTGYJKIiIiIiIh0xmCSiIiIiIiIdMZgkoiIiIiIiHTGYJKIiIiIiIh0xmCSiIiIiIiIdMZgkoiIiIiIiHTGYJKIiIiIiIh0xmCSiIiIiIiIdMZgkoiIiIiIiHTGYJKIiIiIiIh0xmCSiIiIiIiIdMZgkoiIiIiIiHTGYJKIiIiIiIh0xmCSiIiIiIiIdMZgkoiIiIiIiHTGYJKIiIiIiIh0xmCSiIiIiIiIdMZgkoiIiIiIiHTGYJKIiIiIiIh0xmCSiIiIiIiIdMZgkoiIiIiIiHTGYJKIiIiIiIh0xmCSiIiIiIiIdMZgkoiIiIiIiHTGYJKIiIiIiIh0xmCSiIiIiIiIdMZgkoiIiIiIiHTGYJKIiIiIiIh0xmCSiIiIiIiIdMZgkoiIiIiIiHTGYJKIiIiIiIh0xmCSiIiIiIiIdMZgkoiIiIiIiHTGYJKIiIiIiIh0xmCSiIiIiIiIdMZgkoiIiIiIiHTGYJKIiIiIiIh0xmCSiIiIiIiIdMZgkoiIiIiIiHTGYJKIiIiIiIh0xmCSiIiIiIiIdMZgkoiIiIiIiHTGYJKIiIiIiIh0xmCSiIiIiIiIdMZgkoiIiIiIiHTGYJKIiIiIiIh0xmCSiIiIiIiIdMZgkoiIiIiIiHTGYJKIiIiIiIh0xmCSiIiIiIiIdMZgkoiIiIiIiHTGYJKIiIiIiIh0xmCSiIiIiIiIdMZgkoiIiIiIiHTGYJKIiIiIiIh0xmCSiIiIiIiIdMZgkoiIiIiIiHTGYJKIiIiIiIh0xmCSiIiIiIiIdMZgkoiIiIiIiHTGYJKIiIiIiIh0xmCSiIiIiIiIdMZgkoiIiIiIiHTGYJKIiIiIiIh0xmCSiIiIiIiIdMZgkoiIiIiIiHTGYJKIiIiIiIh0xmCSiIiIiIiIdMZgkoiIiIiIiHTGYJKIiIiIiIh0xmCSiIiIiIiIdMZgkoiIiIiIiHTGYJKIiIiIiIh0xmCSiIiIiIiIdMZgkoiIiIiIiHTGYJKIiIiIiIh0xmCSiIiIiIiIdMZgkoiIiIiIiHRmqO8MEFWUEAJ5eXnIz8/Xd1aIiIiIqoxSqYShoSEUCoW+s0JUJgaTVCvk5OQgISEBGRkZ+s4KERERUZXTaDRwdHSEsbGxvrNCVCqFEELoOxNEZdFqtbhw4QKUSiVsbW1hbGzMX+qIiIjosSSEQE5ODm7cuIH8/Hw0adIEBgbsmUY1E2smqcbLycmBVquFs7MzNBqNvrNDREREVKXUajWMjIxw+fJl5OTkQKVS6TtLRCXizxxUa/BXOSIiInpS8LmHagOWUiIiIiIiItIZg0miKtKtWzdMnjxZ39kok5ubGxYuXFhr9luZFAoFNm7cqO9sVIlZs2ahVatWlbrPS5cuQaFQ4MSJE5W639K4ublBoVBAoVDgzp071XLM2iw4OBhWVlb6zsYjqcg9Ux/nWVgOa/v1JSKqCgwm6YmRrxU4FJuMTSeu4VBsMvK1VTv21Pr16zFnzpwKp6/uh/XKtmrVKjz99NMAgKNHj2Ls2LEV3jY0NLRWBg3Lli1D165dYW1tDWtra/Tq1QsREREV3n7kyJHSg2rhy8/Pr8xtgoODi21T+EpKSnrUU6pyuvzI8vHHHyMhIQGWlpYA7pcTa2trZGVlydIePXpUug76VNbnU/i6dOlSqdtXxQ8BhYrmwcLCAu3bt8emTZuq5FhlKe37/uA9s6QfpQYPHozo6OhqyOV9CQkJNf7HMSIifeEAPPRE2HEmAbP/ikTC3fsPoI6WKgT284RfC8cqOaaNjU2V7LcicnNzYWRkVK3H3LRpE/r37w8AsLW1rdZjFxJCID8/H4aG1XNrCw0NxZAhQ9C5c2eoVCrMnz8fzz77LM6ePQsnJ6cK7cPPzw8rV66U3puYmJSZfvDgwcUCzpEjRyIrKwt2dna6n0QNZm5uDgcHhxKXb9iwAUOGDJGW/fjjj3BxcUF8fHx1ZrGYBz+fF198ES1atMDHH38sLdPX9wMAVq5cCT8/P6SkpOC7777Dyy+/jGPHjsHLy0tveSpUkXumWq2GWq2uhtzc5+DgIP2gQUREcqyZpMfejjMJGP/LMVkgCQCJd7Mw/pdj2HEmoUqO+2ANjJubGz799FOMGjUK5ubmcHFxwQ8//CCtb9CgAQCgdevWUCgU6Natm7Ru+fLl8PDwgEqlQrNmzfDdd99J6wprNNetWwcfHx+oVCqsXr0aI0eOxMCBA/HFF1/A0dERderUQUBAAHJzc0vNs0KhwPfff4/nn38eGo0GHh4eOHToEGJiYtCtWzeYmpqic+fOiI2NlW2XlZWFXbt2ScHkgzUKCoUCy5cvxwsvvACNRoMmTZpg8+bNUv67d+8OALC2toZCocDIkSMBFEwLExQUhAYNGkCtVsPb2xt//PGHtN/CGo7t27ejbdu2MDExwf79+9GtWzdMnDgRU6dOhY2NDRwcHDBr1qxSz7vwGv7222/o2rUr1Go12rdvj+joaBw9ehTt2rWDmZkZ+vTpgxs3bkjbrV69Gm+99RZatWqFZs2aYfny5dBqtQgJCSn1WA8yMTGBg4OD9LK2ti4zvVqtlqVXKpX4+++/MXr06GJpv//+e2kU5EGDBuHu3btl7lur1eKzzz5D48aNYWJiAhcXF8ydO1eW5uLFi+jevTs0Gg28vb1x6NAhaV1ycjKGDBkCJycnaDQaeHl5Yc2aNdL6kSNHIiwsDIsWLapQLV1p/P39sWLFCul9ZmYm1q5dC39//2Jp9+/fL32mzs7OmDhxItLT06X1P//8M9q1aycFrkOHDpXV8BaWsZCQELRr1w4ajQadO3fG+fPnS8zbg5+PsbExNBqN9D4nJwcvvvgizMzMYGFhgUGDBuH69esACmo1Z8+ejZMnT0rXJzg4GACwYMECeHl5wdTUFM7OznjrrbeQlpam87WzsrKCg4MDmjZtijlz5iAvLw979+6V1l+5cgWDBg2ClZUVbGxsMGDAANlnVHhfmT17NmxtbWFhYYFx48YhJydHSlPW97as73vRe2a3bt1w+fJlvPPOO7Ia55KauS5ZsgSNGjWCsbEx3N3d8fPPP8vWl3X/AYDbt29j2LBhsLW1hVqtRpMmTWQ/8BARUekYTFKtI4RARk5ehV6pWbkI3HwWJTVoLVw2a3MkUrNyK7S/R52W9csvv0S7du1w/PhxvPXWWxg/frz0UFrYPHLPnj1ISEjA+vXrARQELB999BHmzp2LqKgofPrpp5g5cyZWrVol2/cHH3yASZMmISoqCr6+vgCAvXv3IjY2Fnv37sWqVasQHBwsPZyWZs6cOXjttddw4sQJNGvWDEOHDsWbb76J6dOn459//oEQAhMmTJBtExISAicnJzRr1qzU/c6ePRuDBg3CqVOn8Nxzz2HYsGG4desWnJ2d8eeffwIAzp8/j4SEBCxatAgAEBQUhJ9++glLly7F2bNn8c4772D48OEICwsrdu7z5s1DVFQUWrZsCaCg2a2pqSmOHDmCzz77DB9//DF2795d5rkHBgZixowZOHbsGAwNDTF06FBMnToVixYtQnh4OGJiYvDRRx+Vun1GRgZyc3N1qpUODQ2FnZ0d3N3dMX78eCQnJ1d4WwD46aefoNFo8PLLL8uWx8TE4LfffsNff/2FHTt2SGWuLNOnT8e8efMwc+ZMREZG4tdff4W9vb0szYcffogpU6bgxIkTaNq0KYYMGYK8vDwABT8qtG3bFlu3bsWZM2cwduxYjBgxQirbixYtQqdOnTBmzBgkJCQgISEBzs7OOp0vAIwYMQLh4eFSLeSff/4JNzc3tGnTRpYuNjYWfn5+eOmll3Dq1CmsW7cO+/fvl5Xf3NxczJkzBydPnsTGjRtx6dIlKbh58Ly//PJL/PPPPzA0NMSoUaN0zrdWq8WAAQNw69YthIWFYffu3bh48SIGDx4MoKBW87333kPz5s2l61O4zsDAAF9//TXOnj2LVatW4e+//8bUqVN1zkOhvLw8/PjjjwAgTYiem5sLX19fmJubIzw8HAcOHICZmRn8/PxkwWJISAiioqIQGhqKNWvWYP369Zg9e7a0vqzvbVnf96LWr1+P+vXrS02dExJK/tFvw4YNmDRpEt577z2cOXMGb775Jl5//XVZgAyUfv8BIJX37du3IyoqCkuWLEHdunUf+toSET1RBFENl5mZKSIjI0VmZqYQQoj07FzhOm2LXl7p2bkVzrePj4+YNGmS9N7V1VUMHz5ceq/VaoWdnZ1YsmSJEEKIuLg4AUAcP35ctp9GjRqJX3/9VbZszpw5olOnTrLtFi5cKEvj7+8vXF1dRV5enrTslVdeEYMHD5bl6auvvpLeAxAzZsyQ3h86dEgAED/++KO0bM2aNUKlUsmONWbMGDFlypQK7zctLU0AENu3bxdCCLF3714BQNy+fVtKk5WVJTQajTh48KDsWKNHjxZDhgyRbbdx40ZZGh8fH/H000/LlrVv315MmzZNlqcNGzYIIe5fw+XLl8vOE4AICQmRlgUFBQl3d3dRmvHjx4uGDRtKZbU8a9asEZs2bRKnTp0SGzZsEB4eHqJ9+/ayz6w8Hh4eYvz48bJlgYGBQqlUiqtXr0rLtm/fLgwMDERCQkKJ+0lJSREmJiZi2bJlJa4v6RqdPXtWABBRUVGl5q9v377ivffek94/+L0ozYNlSAh5ORk4cKCYPXu2EEKI7t27i0WLFokNGzaIon/WRo8eLcaOHSvbR3h4uDAwMCj1Mzp69KgAIFJTU2XH3LNnj5Rm69atAkCFPuei57tr1y6hVCpFfHy8tL7wGkZERAghCj47b2/vcvf7+++/izp16kjvV65cKSwtLcvcBoBQqVTC1NRUGBgYCADCzc1NJCcnCyGE+Pnnn4W7u7vQarXSNtnZ2UKtVoudO3cKIQruKzY2NiI9PV1Ks2TJEmFmZiby8/N1+t4W/b4/eK2EKLkMPHienTt3FmPGjJGleeWVV8Rzzz0nO++y7j/9+vUTr7/+elmXrkLXl6iyPfj8Q1QTsWaSqBoV1poBBU2vHBwcyhw0JT09HbGxsRg9ejTMzMyk1yeffFKsqWm7du2Kbd+8eXMolUrpvaOjY7mDtBTNY2GtVNH+VPb29sjKykJKSgqAgpriv/76S2riWpH9mpqawsLCosy8xMTEICMjA71795ad+08//VShcy96PKDyzr20fcybNw9r167Fhg0bKjy59Kuvvor+/fvDy8sLAwcOxJYtW3D06FGEhoYCAPr06SOdd/PmzYttf+jQIURFRZXYxNXFxUXWb7NTp07QarU4f/48wsPDZdd09erViIqKQnZ2Nnr27FlmnoteI0fHgv7GhdckPz8fc+bMgZeXF2xsbGBmZoadO3dWST/GUaNGITg4GBcvXsShQ4cwbNiwYmlOnjyJ4OBg2bn6+vpCq9UiLi4OAPDvv/+iX79+cHFxgbm5OXx8fACgWJ7LOu+KioqKgrOzs6w21tPTE1ZWVoiKiipz2z179qBnz55wcnKCubk5RowYgeTkZGRkZOiUh6+++gonTpzA9u3b4enpieXLl0s16SdPnkRMTAzMzc2l62VjY4OsrCzZd87b2xsajUZ636lTJ6SlpeHKlSs6fW8rQ1RUFLp06SJb1qVLl2LXs6z7z/jx47F27Vq0atUKU6dOxcGDBys9n0REjysOwEO1jtpIiciPfSuUNiLuFkauPFpuuuDX26NDgwoM/mCkLDdNWR4cFEehUECr1ZaavrBP1LJly9CxY0fZuqJBIlDwgPSox3twm8J+SiUtK9xPREQE8vLy0Llz5wrvtyJ5KTz3rVu3FhvM5sFBaqrz3EvaxxdffIF58+Zhz549xYJYXTRs2BB169ZFTEwMevbsieXLlyMzM7PE8wEK+tK2atUKbdu21ek47dq1k40abG9vX+G+i2WVhc8//xyLFi3CwoULpf59kydPljWRrCx9+vTB2LFjMXr0aPTr1w916tQpliYtLQ1vvvkmJk6cWGydi4sL0tPT4evrC19fX6xevRq2traIj4+Hr69vsTyXdd5V7dKlS3j++ecxfvx4zJ07FzY2Nti/fz9Gjx6NnJwcWWBXHgcHBzRu3BiNGzfGypUr8dxzzyEyMhJ2dnZIS0tD27ZtsXr16mLbVXTQIF2+t9WprPtBnz59cPnyZWzbtg27d+9Gz549ERAQgC+++EIfWSUiqlUYTFKto1AooDGuWNHt2sQWjpYqJN7NKrHfpAKAg6UKXZvYQmmg3ykFCvst5efnS8vs7e1Rr149XLx4scSal5pg06ZN6Nu3b7HgVhclnbunpydMTEwQHx8v1RbVRJ999hnmzp2LnTt3llhDqourV68iOTlZqvkqa0TYtLQ0/PbbbwgKCipxfXx8PP777z/Uq1cPAHD48GEYGBjA3d0darUajRs3lqVv0qQJ1Go1QkJC8MYbbzxU/g8cOIABAwZg+PDhAAqCrejoaHh6ekppjI2NZZ/zwzI0NMRrr72Gzz77DNu3by8xTZs2bRAZGVnsXAudPn0aycnJmDdvnlRb+M8//zxy3krj4eGBK1eu4MqVK9LxIiMjcefOHekalXR9/v33X2i1Wnz55ZcwMChoUPTbb789cn46dOiAtm3bYu7cuVi0aBHatGmDdevWwc7ODhYWFqVud/LkSWRmZkqjqh4+fBhmZmZwdnaGjY1Nud/bkr7vpaUrL42HhwcOHDggG3zpwIEDsjJXEba2tvD394e/vz+6du2K999/n8EkEVEFsJkrPdaUBgoE9it4qHgwVCx8H9jPU++BJADY2dlBrVZjx44duH79ujTy5uzZsxEUFISvv/4a0dHROH36NFauXIkFCxboOccFNm/eXG4T1/K4urpCoVBgy5YtuHHjBtLS0mBubo4pU6bgnXfewapVqxAbG4tjx47hm2++KTb4kL7Mnz8fM2fOxIoVK+Dm5obExEQkJiZWaJTNtLQ0vP/++zh8+DAuXbqEkJAQDBgwAI0bN5YGUCrLunXrkJeXJwVuD1KpVPD398fJkycRHh6OiRMnYtCgQSVOtVGYftq0aZg6darUJPHw4cPSIC0V0aRJE+zevRsHDx5EVFQU3nzzTWmk0kJubm44cuQILl26hJs3bz5S7d6cOXNw48aNUq/XtGnTcPDgQUyYMAEnTpzAhQsXsGnTJmkAHhcXFxgbG+Obb77BxYsXsXnzZp3mhtVVr1694OXlhWHDhuHYsWOIiIjAa6+9Bh8fH+mHCDc3N8TFxeHEiRO4efMmsrOz0bhxY+Tm5kr5/Pnnn7F06dJKydPkyZPx/fff49q1axg2bBjq1q2LAQMGIDw8HHFxcQgNDcXEiRNx9epVaZucnByMHj0akZGR2LZtGwIDAzFhwgQYGBhU6Htb0ve9JG5ubti3bx+uXbuGmzdvlpjm/fffR3BwMJYsWYILFy5gwYIFWL9+PaZMmVLha/DRRx9h06ZNiImJwdmzZ7FlyxZ4eHjocBWJiJ5cDCbpsefXwhFLhreBg6W8H5uDpQpLhrepsnkmdWVoaIivv/4a33//PerVq4cBAwYAAN544w0sX74cK1euhJeXF3x8fBAcHCxNJaJPsbGxiImJqVDwUxYnJyfMnj0bH3zwAezt7aWH/Tlz5mDmzJkICgqCh4cH/Pz8sHXr1hpx7kDBlAQ5OTl4+eWX4ejoKL0qUqOhVCpx6tQp9O/fH02bNsXo0aPRtm1bhIeHV6g54I8//ogXX3yx2DQJhRo3bowXX3wRzz33HJ599lm0bNlSNqVMSWbOnIn33nsPH330ETw8PDB48GCd+gXOmDEDbdq0ga+vL7p16wYHBwcMHDhQlmbKlClQKpXw9PSUmpU+LGNjY9StW1dqdvqgli1bIiwsDNHR0ejatStat26Njz76SKqttbW1RXBwMH7//Xd4enpi3rx5VVobpVAosGnTJlhbW+OZZ55Br1690LBhQ6xbt05K89JLL8HPzw/du3eHra0t1qxZA29vbyxYsADz589HixYtsHr16lJrpHXl5+eHBg0aYO7cudBoNNi3bx9cXFzw4osvwsPDA6NHj0ZWVpasprJnz55o0qQJnnnmGQwePBj9+/eXTb1T3ve2tO/7gz7++GNcunQJjRo1KrWZ7cCBA7Fo0SJ88cUXaN68Ob7//nusXLlSNrVSeYyNjTF9+nS0bNkSzzzzDJRKJdauXVvh7YmInmQKIR5xrgOiKpaVlYW4uDg0aNCgwgOblCRfKxARdwtJqVmwM1ehQwObGlEjWZstWLAAe/bswbZt2/SdFXrMuLm5YfLkybK5Wkn/Ro4ciTt37mDjxo36zkq1Cg4OxuTJk3Hnzh19Z4WeIJX1/ENUldhnkp4YSgMFOjUqPkgHPbz69etj+vTp+s4GPaamTZuGGTNm4Nq1a7C0tNR3dugJZWZmhry8PD7MExGVgMEkET20QYMG6TsLNVZ4eDj69OlT6vqK9Kt8koWFhSE3NxcAYG5urufc0JOscOTjRxlkjIjoccVmrlTjsZkH1UaZmZm4du1aqetLG2GUiIgI4PMP1Q6smSQiqgIlTb9BRERE9DjhaK5ERERERESkMwaTREREREREpDMGk0RERERERKQzBpNERERERESkMwaTREREREREpDMGk0RVpFu3bpg8ebK+s1EmNzc3LFy4sNbstzIpFAps3LhR39moErNmzUKrVq0qdZ+XLl2CQqGQ5tyram5ublAoFFAoFLhz5061HLMiatr3WgiBsWPHwsbGplo/n8dRRb431f09oKpRFfdIXQQHB0v3t5p0PyF6GAwm6YmRrxU4FJuMTSeu4VBsMvK1VTvF6vr16zFnzpwKp6/tDymrVq3C008/DQA4evQoxo4dW+FtQ0NDa1zQUBHLli1D165dYW1tDWtra/Tq1QsREREV3n7kyJHSA0Xhy8/Pr8xtij6EPPhKSkp61FOqcroEYx9//DESEhJgaWkJ4H45ad68OfLz82VpraysEBwcXMm5rfl27NiB4OBgbNmyBQkJCWjRokWZ6Zs1awYTExMkJiZWUw5rjylTpiAkJER6P3LkSAwcOLBS9l3448jatWuLrWvevDkUCkW1lN8rV65g1KhRqFevHoyNjeHq6opJkyYhOTlZp/1U9d+r8n7sK+s+WPi6dOlSleStMgwePBgJCQno1KmTvrNC9MgYTNITYceZBDw9/28MWXYYk9aewJBlh/H0/L+x40xClR3TxsYG5ubmVbb/suTm5lb7MTdt2oT+/fsDAGxtbaHRaKo9D0II5OXlVdvxQkNDMWTIEOzduxeHDh2Cs7Mznn32WVy7dq3C+/Dz80NCQoL0WrNmTZnpCx9Cir58fX3h4+MDOzu7Rz2lGsXc3BwODg5QKBSy5RcvXsRPP/2kp1xVvvz8fGi12ofaNjY2Fo6OjujcuTMcHBxgaFj69NH79+9HZmYmXn75Zaxatephs6s3VX1fMzMzQ506daps/87Ozli5cqVs2eHDh5GYmAhTU9MqO26hixcvol27drhw4QLWrFmDmJgYLF26FCEhIejUqRNu3bpV5XmoLA/eBzt16oQxY8bIljk7O+s7m6VSq9VwcHCAsbGxvrNC9MgYTNJjb8eZBIz/5RgS7mbJlifezcL4X45VWUD5YA2Mm5sbPv30U4waNQrm5uZwcXHBDz/8IK1v0KABAKB169ZQKBTo1q2btG758uXw8PCASqVCs2bN8N1330nrCn8hXrduHXx8fKBSqbB69WrpV/UvvvgCjo6OqFOnDgICAsp8IFMoFPj+++/x/PPPQ6PRwMPDA4cOHUJMTAy6desGU1NTdO7cGbGxsbLtsrKysGvXLimYfLCZq0KhwPLly/HCCy9Ao9GgSZMm2Lx5s5T/7t27AwCsra2hUCgwcuRIAIBWq0VQUBAaNGgAtVoNb29v/PHHH9J+C2uqtm/fjrZt28LExAT79+9Ht27dMHHiREydOhU2NjZwcHDArFmzSj3vwmv422+/oWvXrlCr1Wjfvj2io6Nx9OhRtGvXDmZmZujTpw9u3Lghbbd69Wq89dZbaNWqFZo1a4bly5dDq9XKajfKY2JiAgcHB+llbW1dZvrCh5DCl1KpxN9//43Ro0cXS/v999/D2dkZGo0GgwYNwt27d8vct1arxWeffYbGjRvDxMQELi4umDt3rizNxYsX0b17d2g0Gnh7e+PQoUPSuuTkZAwZMgROTk7QaDTw8vKSBccjR45EWFgYFi1a9Ei1B2+//TYCAwORnZ1d4vqSak3u3LkDhUKB0NBQAPfLzs6dO9G6dWuo1Wr06NEDSUlJ2L59Ozw8PGBhYYGhQ4ciIyNDtv+8vDxMmDABlpaWqFu3LmbOnAkh7rd0yM7OxpQpU+Dk5ARTU1N07NhROi5QUKtiZWWFzZs3w9PTEyYmJoiPjy/xXMLCwtChQweYmJjA0dERH3zwgfSDyciRI/H2228jPj4eCoUCbm5uZV63H3/8EUOHDsWIESOwYsWKYuvLu0fl5ORgwoQJcHR0hEqlgqurK4KCggAU1Oo9//zzUtqFCxdCoVBgx44d0rLGjRtj+fLl0vuHua9dvnwZ/fr1g7W1NUxNTdG8eXNs27atxPP99ttvZTW1GzduhEKhwNKlS6VlvXr1wowZMwDImz7OmjULq1atwqZNm6SyWvQzLOt7UJphw4YhLCwMV65ckZatWLECw4YNK/YjwIIFC+Dl5QVTU1M4OzvjrbfeQlpamrR+1KhRaNmypfQdyMnJQevWrfHaa6+VevyAgAAYGxtj165d8PHxgYuLC/r06YM9e/bg2rVr+PDDD6W0JdUMFq39L+3vVeHfndmzZ8PW1hYWFhYYN24ccnJypP2U1A2iVatW0j26sBy/8MILpZbrB++DxsbG0Gg00vucnBy8+OKLMDMzg4WFBQYNGoTr16+Xem1iY2PRsGFDTJgwAUKICn+Hd+7cCQ8PD5iZmUk/DBYKDQ1Fhw4dYGpqCisrK3Tp0gWXL18uNQ9EtZYgquEyMzNFZGSkyMzMlC1Pz84t9ZWZkyeEECIvXyue+nSPcJ22pcSX27QtouOne0Revrbc/erKx8dHTJo0SXrv6uoqbGxsxOLFi8WFCxdEUFCQMDAwEOfOnRNCCBERESEAiD179oiEhASRnJwshBDil19+EY6OjuLPP/8UFy9eFH/++aewsbERwcHBQggh4uLiBADh5uYmpfnvv/+Ev7+/sLCwEOPGjRNRUVHir7/+EhqNRvzwww+yPH311VfSewDCyclJrFu3Tpw/f14MHDhQuLm5iR49eogdO3aIyMhI8dRTTwk/Pz/ZuW7ZskU0bdq0zP3Wr19f/Prrr+LChQti4sSJwszMTCQnJ4u8vDzx559/CgDi/PnzIiEhQdy5c0cIIcQnn3wimjVrJnbs2CFiY2PFypUrhYmJiQgNDRVCCLF3714BQLRs2VLs2rVLxMTEiOTkZOHj4yMsLCzErFmzRHR0tFi1apVQKBRi165dsjxt2LBBdg0Lj1V4nm3bthXdunUT+/fvF8eOHRONGzcW48aNK/UzT0lJESqVSvz111/lFQ8hhBD+/v7C0tJS2NraiqZNm4px48aJmzdvVmjbQl988YWwtLQUGRkZ0rLAwEBhamoqevToIY4fPy7CwsJE48aNxdChQ8vc19SpU4W1tbUIDg4WMTExIjw8XCxbtkwIIb9GW7ZsEefPnxcvv/yycHV1Fbm5Bd+Pq1evis8//1wcP35cxMbGiq+//loolUpx5MgRIYQQd+7cEZ06dRJjxowRCQkJIiEhQeTl5ZWYlwfLkBD3P+9r164JR0dH8fnnn0vrLC0txcqVK2V5PX78uLT+9u3bAoDYu3evbF9PPfWU7PP18fERzz77rDh27JjYt2+fqFOnjpg3b560Hx8fH2FmZiYmTZokzp07J3755Zdi36s33nhDdO7cWezbt0/ExMSIzz//XJiYmIjo6GghhBArV64URkZGonPnzuLAgQPi3LlzIj09vdg1uHr1qtBoNOKtt94SUVFRYsOGDaJu3boiMDBQup4ff/yxqF+/vkhISBBJSUmlfrYpKSnC1NRUnDlzRuTl5Ql7e3uxb9++Yte8rHvU559/LpydncW+ffvEpUuXRHh4uPj111+FEEJs3rxZWFpaSp/nwIEDRd26dcW0adOkcwEgLly4IIR4+Pta3759Re/evcWpU6dEbGys+Ouvv0RYWFiJ53zq1CmhUCik6zJ58mRRt25dMXjwYCGEEDk5OUKj0Yjdu3cLIQq+N97e3kIIIVJTU8WgQYOEn5+fVFazs7Mr9D0oSWF57t+/v5gzZ44QQoj09HRhYWEhjh8/Liu/Qgjx1Vdfib///lvExcWJkJAQ4e7uLsaPHy+tT01NFQ0bNhSTJ08WQggxZcoU4ebmJu7evVvi8ZOTk4VCoRCffvppievHjBkjrK2thVZb8Lew6P2xUNE8lvb3yt/fX5iZmYnBgweLM2fOiC1btghbW1vxv//9r9i1KMrb21sq10lJSQKAWLlyZbnlulDRv7f5+fmiVatW4umnnxb//POPOHz4sGjbtq3w8fGR0hf9rE+ePCkcHBzEhx9+KK2v6He4V69e4ujRo+Lff/8VHh4e0j02NzdXWFpaiilTpoiYmBgRGRkpgoODxeXLl0vNd0lKe/4hqkkYTFKNV9rNtLQA0XXaFjFyRcHD68GYm2WmK3wdjLn/AN/6410lptFVScHk8OHDpfdarVbY2dmJJUuWCCFKfgAWQohGjRpJD2yF5syZIzp16iTbbuHChbI0/v7+wtXVVfaw/sorr0gPUoV5ejDomzFjhvT+0KFDAoD48ccfpWVr1qwRKpVKdqwxY8aIKVOmVHi/aWlpAoDYvn27EOL+g/3t27elNFlZWUKj0YiDBw/KjjV69GgxZMgQ2XYbN26UpfHx8RFPP/20bFn79u2lB9vCPD0YTC5fvlx2ngBESEiItCwoKEi4u7uL0owfP140bNiwwn/416xZIzZt2iROnTolNmzYIDw8PET79u1LDbBK4uHhIXvIFKLgQUmpVIqrV69Ky7Zv3y4MDAxEQkJCiftJSUkRJiYmUvD4oJKu0dmzZwUAERUVVWr++vbtK9577z3pfXkPT4XKCiZv374tli5dKmxsbKQfHh42mNyzZ4+UJigoSAAQsbGx0rI333xT+Pr6yvLv4eEhPXQLIcS0adOEh4eHEEKIy5cvC6VSKa5duybLe8+ePcX06dOFEAUPogDEiRMnyrwG//vf/4S7u7vsWIsXLxZmZmYiPz9fCFEQdLi6upa5HyGE+OGHH0SrVq2k95MmTRL+/v6yNOXdo95++23Ro0cPWX4K3b59WxgYGIijR48KrVYrbGxsRFBQkOjYsaMQoiB4dHJyktI/7H3Ny8tLzJo1q9zzLcx/nTp1xO+//y6EEKJVq1YiKChIODg4CCGE2L9/vzAyMpIC+aIBhhAF99ABAwbI9vmw34PC8rxx40bRqFEjodVqxapVq0Tr1q2FEKJYMPmg33//XdSpU0e27ODBg8LIyEjMnDlTGBoaivDw8FK3P3z4cIkBYqEFCxYIAOL69etCiPKDydL+Xvn7+wsbGxvZjyNLliyRldnygsnSjl+WoveVXbt2CaVSKeLj46X1hZ9RRESEEOL+Z33gwAFhbW0tvvjiCymtLt/hmJgYaf3ixYuFvb29EKIgeAcg/fBZkXyXhMEk1QZs5kqPtaTUrPIT6ZDuUbVs2VL6v0KhgIODQ5mDpqSnpyM2NhajR4+GmZmZ9Prkk0+KNTVt165dse2bN28OpVIpvXd0dCx3kJaiebS3twcAeHl5yZZlZWUhJSUFQEE/xb/++ktq4lqR/ZqamsLCwqLMvMTExCAjIwO9e/eWnftPP/1UoXMvejyg8s69tH3MmzcPa9euxYYNG6BSqco8TqFXX30V/fv3h5eXFwYOHIgtW7bg6NGjUnOqPn36SOfdvHnzYtsfOnQIUVFRJTZxdXFxgZOTk/S+U6dO0Gq1OH/+PMLDw2XXdPXq1YiKikJ2djZ69uxZZp6LXiNHR0cAkK5Jfn4+5syZAy8vL9jY2MDMzAw7d+4stQnnoxg9ejTq1KmD+fPnP9J+HvzMNRoNGjZsKFv24Gf+1FNPyfpxdurUCRcuXEB+fj5Onz6N/Px8NG3aVHaNw8LCZOXW2Ni4WBl9UFRUFDp16iQ7VpcuXZCWloarV6/qdJ4rVqzA8OHDpffDhw/H77//jtTUVFm6su5RI0eOxIkTJ+Du7o6JEydi165dUlorKyt4e3sjNDQUp0+fhrGxMcaOHYvjx48jLS0NYWFh8PHxAfBo97WJEyfik08+QZcuXRAYGIhTp06Ves4KhQLPPPMMQkNDcefOHURGRuKtt95CdnY2zp07h7CwMLRv3/6h+neX9T0oS9++fZGWloZ9+/ZhxYoVGDVqVInp9uzZg549e8LJyQnm5uYYMWIEkpOTZU2uO3XqhClTpmDOnDl47733pAHQyiKKNMeuKt7e3rJr2qlTJ6Slpcma91alqKgoODs7y/pMenp6wsrKClFRUdKy+Ph49O7dGx999BHee+89aXlFv8MajQaNGjWS3hf9G2NjY4ORI0fC19cX/fr1w6JFi2RNYIkeJ6X31Ceq4SI/9i11ncG9hy8784o91BdNt39a90fLWBmMjIxk7xUKRZkDbxT2kVm2bBk6duwoW1c0SARQ4gAOuh7vwW0KH2JLWla4n4iICOTl5aFz584V3m9F8lJ47lu3bpUFRUBBP8OiqvPcS9rHF198gXnz5mHPnj3lBghladiwIerWrYuYmBj07NkTy5cvR2ZmZonnAxT0OWvVqhXatm2r03HatWsn609ob29f4b6LZZWFzz//HIsWLcLChQul/l6TJ0+W9ZeqLIaGhpg7dy5GjhyJCRMmyNYZGBT8Tlr0wbm0vsIPns/DlJui0tLSoFQq8e+//xb7jpqZmUn/V6vVxQYWqiqRkZE4fPgwIiIiMG3aNGl5fn4+1q5dizFjxkjLyjr/Nm3aIC4uDtu3b8eePXswaNAg9OrVS+rH3K1bN4SGhsLExAQ+Pj6wsbGBh4cH9u/fj7CwMOmB/VHua2+88QZ8fX2xdetW7Nq1C0FBQfjyyy/x9ttvl3ju3bp1ww8//IDw8HC0bt0aFhYWUoBZNMDVVVnfg7IYGhpixIgRCAwMxJEjR7Bhw4ZiaS5duoTnn38e48ePx9y5c2FjY4P9+/dj9OjRyMnJkQI1rVaLAwcOQKlUIiYmpszjNm7cGAqFAlFRUXjhhReKrY+KioK1tTVsbW2lc3ow8KysAZAMDAyqbN+6sLW1Rb169bBmzRqMGjUKFhYWACr+HS7pu1L0vFauXImJEydix44dWLduHWbMmIHdu3fjqaeeqsKzIqp+rJmkWktjbFjqS2VU8AegQwMbOFqqUNojmwKAo6UKHRrYlLvfqlY4qlvRKQ/s7e1Rr149XLx4EY0bN5a9CgdA0LdNmzahb9++xf7o6qKkcy86MMmD516TRun77LPPMGfOHOzYsaPEGlJdXL16FcnJyVJNh5OTk3TOrq6usrRpaWn47bffSqyVBAp+df/vv/+k94cPH4aBgQHc3d2hVqtl19Pc3BxNmjSBWq3WafCgBx04cAADBgzA8OHD4e3tjYYNGyI6OlqWxtjYuNi0Hg/rlVdeQfPmzTF79mzZ8sIH4qI1AZU5hcGRI0dk7w8fPowmTZpAqVSidevWyM/PR1JSUrFy6+DgoNNxCgfAKvqAeuDAAZibm6N+/foV3s+PP/6IZ555BidPnsSJEyek17vvvosff/xRpzxZWFhg8ODBWLZsGdatW4c///xTGgXUx8cH+/fvR0hIiDQgS7du3bBmzRpER0dLyx71vubs7Ixx48Zh/fr1eO+997Bs2bJS0/r4+CAyMhK///67LE979uzBgQMHZAOdPagyy2pRo0aNQlhYGAYMGFDigFv//vsvtFotvvzySzz11FNo2rSp7Ltc6PPPP5dqWHfs2FFspNii6tSpg969e+O7776TfqAqlJiYiNWrV2Pw4MFSYGxrayv7/ly4cEFWK1rSPbvQyZMnZcc4fPgwzMzMpPv2g/tOSUlBXFycbB9GRkYPfe09PDxw5coVWU1oZGQk7ty5A09PT2mZWq3Gli1boFKp4OvrK9XSV+Z3uHXr1pg+fToOHjyIFi1a4Ndff32ocyKqyRhM0mNNaaBAYL+CPx4PBpSF7wP7eUJpUD01BGWxs7ODWq3Gjh07cP36dWnkzdmzZyMoKAhff/01oqOjcfr0aaxcuRILFizQc44LbN68udwmruVxdXWFQqHAli1bcOPGDaSlpcHc3BxTpkzBO++8g1WrViE2NhbHjh3DN998U2OmNZg/fz5mzpyJFStWwM3NDYmJiUhMTJSNuliatLQ0vP/++zh8+DAuXbqEkJAQDBgwAI0bN4avb+m17oXWrVuHvLw8WdPFolQqFfz9/XHy5EmEh4dj4sSJGDRoUKkPQyqVCtOmTcPUqVOlpsSHDx/WKdho0qQJdu/ejYMHDyIqKgpvvvlmsREU3dzccOTIEVy6dAk3b9586CkxCs2bNw8rVqxAenq6tEytVuOpp57CvHnzEBUVhbCwMGnEzsoQHx+Pd999F+fPn8eaNWvwzTffYNKkSQCApk2bYtiwYXjttdewfv16xMXFISIiAkFBQdi6datOx3nrrbdw5coVvP322zh37hw2bdqEwMBAvPvuu1Lta3lyc3Px888/Y8iQIWjRooXs9cYbb+DIkSM4e/Zshfa1YMECrFmzBufOnUN0dDR+//13ODg4wMrKCgDwzDPPIDU1FVu2bJEFbqtXr4ajoyOaNm0q7eth72uTJ0/Gzp07ERcXh2PHjmHv3r3w8PAoNX3Lli1hbW2NX3/9VZanjRs3Ijs7G126dCl1Wzc3N5w6dQrnz5/HzZs3K632zMPDAzdv3iw1+GvcuDFyc3PxzTff4OLFi/j5559lI9ACwPHjx/HRRx9h+fLl6NKlCxYsWIBJkybh4sWLpR7322+/RXZ2Nnx9fbFv3z5cuXIFO3bsQO/eveHk5CQbublHjx749ttvcfz4cfzzzz8YN26crCautL9XQMHIsqNHj0ZkZCS2bduGwMBATJgwQSqzPXr0wM8//4zw8HCcPn0a/v7+xX6MdHNzQ0hICBITE3H79u2KX1wUjNDr5eWFYcOG4dixY4iIiMBrr70GHx+fYj/4mZqaYuvWrTA0NESfPn2QlpZWKd/huLg4TJ8+HYcOHcLly5exa9cuXLhwocyySlRbMZikx55fC0csGd4GDpbyJq8OliosGd4Gfi0c9ZQzOUNDQ3z99df4/vvvUa9ePQwYMABAQbOu5cuXY+XKlfDy8oKPjw+Cg4NrRM1kbGwsYmJiKhT8lMXJyQmzZ8/GBx98AHt7e6nZ4pw5czBz5kwEBQXBw8MDfn5+2Lp1a404dwBYsmQJcnJy8PLLL8PR0VF6ffHFF+Vuq1QqcerUKfTv3x9NmzbF6NGj0bZtW4SHhxdrxluSH3/8ES+++KL0IP+gxo0b48UXX8Rzzz2HZ599Fi1btpRNvVCSmTNn4r333sNHH30EDw8PDB48uEL9wArNmDEDbdq0ga+vL7p16wYHB4dik75PmTIFSqUSnp6esLW1feT+lD169ECPHj2KzS+6YsUK5OXloW3btpg8eTI++eSTRzpOUa+99hoyMzPRoUMHBAQEYNKkSRg7dqy0fuXKlXjttdfw3nvvwd3dHQMHDsTRo0fh4uKi03GcnJywbds2REREwNvbG+PGjcPo0aN1Cow3b96M5OTkEps2enh4wMPDo8I/GJibm+Ozzz5Du3bt0L59e1y6dAnbtm2TggRra2t4eXnB1tYWzZo1A1AQYGq12mLNSR/2vpafn4+AgADpftC0adMyy7VCoUDXrl2hUCikPoUtW7aEhYUF2rVrV+b8jmPGjIG7uzvatWsHW1tbHDhwoELXqSLq1KkDtVpd4jpvb28sWLAA8+fPR4sWLbB69WppChagYCqm4cOHY+TIkejXrx8AYOzYsejevTtGjBhRao1ekyZN8M8//6Bhw4YYNGgQGjVqJG136NAh2Njcb6Hz5ZdfwtnZGV27dsXQoUMxZcoUWT/I0v5eAUDPnj3RpEkTPPPMMxg8eDD69+8vm5pp+vTp8PHxwfPPP4++ffti4MCBsr6HhcffvXs3nJ2d0bp164pfWBR85ps2bYK1tTWeeeYZ9OrVCw0bNsS6detKTG9mZobt27dDCIG+ffsiPT39kb/DGo0G586dw0svvYSmTZti7NixCAgIwJtvvqnTuRDVBgpRHb2xiR5BVlYW4uLi0KBBgwoPbFKSfK1ARNwtJKVmwc68oGlrTaiRrM0WLFiAPXv2lDrPG9HDcnNzw+TJk2VztRJRzTZy5EjcuXOn2ByVVLJu3bqhVatWxebdLFRZzz9EVYk1k/TEUBoo0KlRHQxo5YROjeowkKwE9evXx/Tp0/WdDXpMTZs2DWZmZrImdEREtd3q1athZmaG8PBwfWeF6JFxNFciemiDBg3SdxZqrPDwcPTp06fU9RXpV/kkCwsLk/qomZub6zk3RESVp3///tJIxqV1VSCqLdjMlWo8NvOg2igzMxPXrl0rdX3jxo2rMTdERFTb8PmHagPWTBIRVYHC6TeIiIiIHlfsM0lEREREREQ6YzBJtQZbZBMREdGTgs89VBswmKQar3Ci5IyMDD3nhIiIiKh6FD73FD4HEdVE7DNJNZ5SqYSVlZU0ebpGo4FCwWk9iIiI6PEjhEBGRgaSkpJgZWUFpVKp7ywRlYqjuVKtIIRAYmIi7ty5o++sEBEREVU5KysrODg48Ad0qtEYTFKtkp+fL809R0RERPQ4MjIyYo0k1QoMJomIiIiIiEhnHICHiIiIiIiIdMZgkoiIiIiIiHTGYJKIiIiIiIh0xmCSiIiIiIiIdMZgkoiIiIiIiHTGYJKIiIiIiIh0xmCSiIiIiIiIdPZ/DpNns1lyDcAAAAAASUVORK5CYII=","text/plain":["<Figure size 1000x600 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["plot_metrics_vs_rpp(\n","    metrics_df,\n","    models,\n","    markers,\n","    [\"total_repetitions\", \"num_max_output_tokens\"],\n","    [\"Mean Total Repetitions\", \"Number of Answers with Max Output Tokens\"],\n",")"]},{"cell_type":"code","execution_count":116,"metadata":{},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1000x600 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["plot_metrics_vs_rpp(\n","    metrics_df,\n","    models,\n","    markers,\n","    [\"meteor\", \"total_repetitions\"],\n","    [\"METEOR\", \"Mean Total Repetitions\"],\n",")"]},{"cell_type":"code","execution_count":117,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["### Analyzing: internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00\n","*** Found 1 rows with total_repetitions > 50 for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00\n","短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n","================================================================================\n","short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n","================================================================================\n","Short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long,\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(1, 963), match='hort, long, short, long, short, long, short, long>\n","Group 1 found at 1-482: `hort, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, s`\n","Group 2 found at 482-963: `hort, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, s`\n","Group 3 found at 482-963: `hort, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, s`\n","(0, 962, 962)\n","\n","*** Found 1 rows with output_tokens >= 300 for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00\n","--------------------------------------------------\n","chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n","--------------------------------------------------\n","english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n","--------------------------------------------------\n","internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00: Short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long,\n","--------------------------------------------------\n","output_tokens-internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00: 301\n","### Analyzing: internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.02\n","*** Found 1 rows with total_repetitions > 50 for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.02\n","短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n","================================================================================\n","short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n","================================================================================\n","Short-long-short-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(16, 1496), match='-long-long-long-long-long-long-long-long-long-lon>\n","Group 1 found at 16-756: `-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long`\n","Group 2 found at 756-1496: `-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long`\n","Group 3 found at 756-1496: `-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long`\n","(0, 1480, 1480)\n","\n","*** Found 1 rows with output_tokens >= 300 for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.02\n","--------------------------------------------------\n","chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n","--------------------------------------------------\n","english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n","--------------------------------------------------\n","internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.02: Short-long-short-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long\n","--------------------------------------------------\n","output_tokens-internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.02: 301\n","### Analyzing: internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.04\n","*** Found 1 rows with total_repetitions > 50 for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.04\n","短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n","================================================================================\n","short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n","================================================================================\n","Short-long-short-long-short-long-short-long-short-long-long-short-long-short-long-short-long-short-long-short-long-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-sh\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(1, 121), match='hort-long-short-long-short-long-short-long-short->\n","Group 1 found at 1-61: `hort-long-short-long-short-long-short-long-short-long-long-s`\n","Group 2 found at 61-121: `hort-long-short-long-short-long-short-long-short-long-long-s`\n","Group 3 found at 61-121: `hort-long-short-long-short-long-short-long-short-long-long-s`\n","<re.Match object; span=(121, 231), match='hort-long-short-long-short-long-short-long-short->\n","Group 1 found at 121-176: `hort-long-short-long-short-long-short-long-short-long-s`\n","Group 2 found at 176-231: `hort-long-short-long-short-long-short-long-short-long-s`\n","Group 3 found at 176-231: `hort-long-short-long-short-long-short-long-short-long-s`\n","<re.Match object; span=(235, 245), match='-long-long'>\n","Group 1 found at 235-240: `-long`\n","Group 2 found at 240-245: `-long`\n","Group 3 found at 240-245: `-long`\n","<re.Match object; span=(245, 1103), match='-short-long-short-long-short-long-short-long-shor>\n","Group 1 found at 245-674: `-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long`\n","Group 2 found at 674-1103: `-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long`\n","Group 3 found at 674-1103: `-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long`\n","(0, 1098, 1098)\n","\n","*** Found 1 rows with output_tokens >= 300 for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.04\n","--------------------------------------------------\n","chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n","--------------------------------------------------\n","english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n","--------------------------------------------------\n","internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.04: Short-long-short-long-short-long-short-long-short-long-long-short-long-short-long-short-long-short-long-short-long-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-sh\n","--------------------------------------------------\n","output_tokens-internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.04: 301\n","### Analyzing: internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06\n","*** Found 1 rows with total_repetitions > 50 for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06\n","短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n","================================================================================\n","short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n","================================================================================\n","Short-long-short-long-short-long-short-long-short-long-long-short-long-short-long-short-long-short-long-short-long-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(1, 121), match='hort-long-short-long-short-long-short-long-short->\n","Group 1 found at 1-61: `hort-long-short-long-short-long-short-long-short-long-long-s`\n","Group 2 found at 61-121: `hort-long-short-long-short-long-short-long-short-long-long-s`\n","Group 3 found at 61-121: `hort-long-short-long-short-long-short-long-short-long-long-s`\n","<re.Match object; span=(121, 1089), match='hort-long-short-long-short-long-short-long-short->\n","Group 1 found at 121-605: `hort-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-s`\n","Group 2 found at 605-1089: `hort-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-s`\n","Group 3 found at 605-1089: `hort-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-s`\n","(0, 1088, 1088)\n","\n","*** Found 1 rows with output_tokens >= 300 for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06\n","--------------------------------------------------\n","chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n","--------------------------------------------------\n","english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n","--------------------------------------------------\n","internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06: Short-long-short-long-short-long-short-long-short-long-long-short-long-short-long-short-long-short-long-short-long-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short\n","--------------------------------------------------\n","output_tokens-internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06: 301\n","### Analyzing: internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08\n","*** Found 1 rows with total_repetitions > 50 for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08\n","短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n","================================================================================\n","short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n","================================================================================\n","Short-long-short-long-short-long-short-long-short-long-long-short-long-short-long-short-long-short-long-short-long-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(1, 121), match='hort-long-short-long-short-long-short-long-short->\n","Group 1 found at 1-61: `hort-long-short-long-short-long-short-long-short-long-long-s`\n","Group 2 found at 61-121: `hort-long-short-long-short-long-short-long-short-long-long-s`\n","Group 3 found at 61-121: `hort-long-short-long-short-long-short-long-short-long-long-s`\n","<re.Match object; span=(121, 1089), match='hort-long-short-long-short-long-short-long-short->\n","Group 1 found at 121-605: `hort-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-s`\n","Group 2 found at 605-1089: `hort-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-s`\n","Group 3 found at 605-1089: `hort-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-s`\n","(0, 1088, 1088)\n","\n","*** Found 1 rows with output_tokens >= 300 for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08\n","--------------------------------------------------\n","chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n","--------------------------------------------------\n","english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n","--------------------------------------------------\n","internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08: Short-long-short-long-short-long-short-long-short-long-long-short-long-short-long-short-long-short-long-short-long-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short\n","--------------------------------------------------\n","output_tokens-internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08: 301\n","### Analyzing: internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10\n","*** Found 1 rows with total_repetitions > 50 for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10\n","短长长长长、短长长长长、短短短短短、长长长短短、长长短短长长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n","================================================================================\n","short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n","================================================================================\n","Short-long-short-long-short-long-short-long-short-long-long-short-long-short-long-short-long-short-long-short-long-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(1, 121), match='hort-long-short-long-short-long-short-long-short->\n","Group 1 found at 1-61: `hort-long-short-long-short-long-short-long-short-long-long-s`\n","Group 2 found at 61-121: `hort-long-short-long-short-long-short-long-short-long-long-s`\n","Group 3 found at 61-121: `hort-long-short-long-short-long-short-long-short-long-long-s`\n","<re.Match object; span=(121, 1089), match='hort-long-short-long-short-long-short-long-short->\n","Group 1 found at 121-605: `hort-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-s`\n","Group 2 found at 605-1089: `hort-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-s`\n","Group 3 found at 605-1089: `hort-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-s`\n","(0, 1088, 1088)\n","\n","*** Found 1 rows with output_tokens >= 300 for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10\n","--------------------------------------------------\n","chinese: 短长长长长、短长长长长、短短短短短、长长长短短、长长短短���长、短短长长长、短短短短长、长长短短长长、短短短长长、长长短短短，这是1108：21：37。\n","--------------------------------------------------\n","english: short-long-long-long-long, short-long-long-long-long, long-long-long-long-long, long-long-long-short-short, long-long-long-short-short-short, short-short-long-long-long, short-long-long-long-long, long-long-long-short-short-short, short-short-short-long-long, long-long-short-short-short. That's 1108:21:37, Wang thought.\n","--------------------------------------------------\n","internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10: Short-long-short-long-short-long-short-long-short-long-long-short-long-short-long-short-long-short-long-short-long-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short-long-short\n","--------------------------------------------------\n","output_tokens-internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10: 301\n"]}],"source":["for col in result_columns:\n","    print(f\"### Analyzing: {col}\")\n","    analyze_translation_results(df, col, repetition_threshold=50)"]},{"cell_type":"code","execution_count":118,"metadata":{},"outputs":[],"source":["metrics_df.to_csv(results_path.replace(\".csv\", \"_metrics.csv\"), index=False)"]},{"cell_type":"code","execution_count":119,"metadata":{},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>meteor</th>\n","      <th>bleu_1</th>\n","      <th>rouge_l</th>\n","      <th>ews_score</th>\n","      <th>repetition_score</th>\n","      <th>total_repetitions</th>\n","      <th>rap</th>\n","      <th>num_max_output_tokens</th>\n","      <th>eval_time</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>6.000000</td>\n","      <td>6.000000</td>\n","      <td>6.000000</td>\n","      <td>6.0</td>\n","      <td>6.000000</td>\n","      <td>6.000000</td>\n","      <td>6.000000</td>\n","      <td>6.0</td>\n","      <td>6.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>0.397141</td>\n","      <td>0.125890</td>\n","      <td>0.383267</td>\n","      <td>0.0</td>\n","      <td>0.910415</td>\n","      <td>0.910415</td>\n","      <td>0.382640</td>\n","      <td>1.0</td>\n","      <td>2.915858</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>0.020552</td>\n","      <td>0.017282</td>\n","      <td>0.023450</td>\n","      <td>0.0</td>\n","      <td>0.152253</td>\n","      <td>0.152253</td>\n","      <td>0.018882</td>\n","      <td>0.0</td>\n","      <td>0.038653</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>0.365019</td>\n","      <td>0.099618</td>\n","      <td>0.348367</td>\n","      <td>0.0</td>\n","      <td>0.834951</td>\n","      <td>0.834951</td>\n","      <td>0.352734</td>\n","      <td>1.0</td>\n","      <td>2.884378</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>0.384911</td>\n","      <td>0.115571</td>\n","      <td>0.368097</td>\n","      <td>0.0</td>\n","      <td>0.843557</td>\n","      <td>0.843557</td>\n","      <td>0.371702</td>\n","      <td>1.0</td>\n","      <td>2.893866</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>0.402904</td>\n","      <td>0.128757</td>\n","      <td>0.388064</td>\n","      <td>0.0</td>\n","      <td>0.854810</td>\n","      <td>0.854810</td>\n","      <td>0.389163</td>\n","      <td>1.0</td>\n","      <td>2.898500</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>0.413831</td>\n","      <td>0.140145</td>\n","      <td>0.402294</td>\n","      <td>0.0</td>\n","      <td>0.856796</td>\n","      <td>0.856796</td>\n","      <td>0.395644</td>\n","      <td>1.0</td>\n","      <td>2.925640</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>0.415635</td>\n","      <td>0.143091</td>\n","      <td>0.406629</td>\n","      <td>0.0</td>\n","      <td>1.220653</td>\n","      <td>1.220653</td>\n","      <td>0.401092</td>\n","      <td>1.0</td>\n","      <td>2.986761</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["         meteor    bleu_1   rouge_l  ews_score  repetition_score  \\\n","count  6.000000  6.000000  6.000000        6.0          6.000000   \n","mean   0.397141  0.125890  0.383267        0.0          0.910415   \n","std    0.020552  0.017282  0.023450        0.0          0.152253   \n","min    0.365019  0.099618  0.348367        0.0          0.834951   \n","25%    0.384911  0.115571  0.368097        0.0          0.843557   \n","50%    0.402904  0.128757  0.388064        0.0          0.854810   \n","75%    0.413831  0.140145  0.402294        0.0          0.856796   \n","max    0.415635  0.143091  0.406629        0.0          1.220653   \n","\n","       total_repetitions       rap  num_max_output_tokens  eval_time  \n","count           6.000000  6.000000                    6.0   6.000000  \n","mean            0.910415  0.382640                    1.0   2.915858  \n","std             0.152253  0.018882                    0.0   0.038653  \n","min             0.834951  0.352734                    1.0   2.884378  \n","25%             0.843557  0.371702                    1.0   2.893866  \n","50%             0.854810  0.389163                    1.0   2.898500  \n","75%             0.856796  0.395644                    1.0   2.925640  \n","max             1.220653  0.401092                    1.0   2.986761  "]},"execution_count":119,"metadata":{},"output_type":"execute_result"}],"source":["metrics_df.describe()"]}],"metadata":{"accelerator":"GPU","application/vnd.databricks.v1+notebook":{"dashboards":[],"environmentMetadata":null,"language":"python","notebookMetadata":{"mostRecentlyExecutedCommandWithImplicitDF":{"commandId":-1,"dataframes":["_sqldf"]},"pythonIndentUnit":4},"notebookName":"10_eval-lf-medium-py3.11","widgets":{}},"colab":{"gpuType":"L4","provenance":[]},"kernelspec":{"display_name":"Python 3","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":"3.11.9"}},"nbformat":4,"nbformat_minor":0}