diff --git "a/notebooks/00d_Data Analysis_Fine_Tuned_RPP.ipynb" "b/notebooks/00d_Data Analysis_Fine_Tuned_RPP.ipynb"
--- "a/notebooks/00d_Data Analysis_Fine_Tuned_RPP.ipynb"
+++ "b/notebooks/00d_Data Analysis_Fine_Tuned_RPP.ipynb"
@@ -1 +1 @@
-{"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":"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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","    [\"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}
+{"cells":[{"cell_type":"code","execution_count":335,"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":["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":["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":336,"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":337,"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":337,"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":338,"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":339,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 1133 entries, 0 to 1132\n","Data columns (total 56 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"," 32  Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00                    1133 non-null   object\n"," 33  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.00  1133 non-null   object\n"," 34  shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.00     1133 non-null   object\n"," 35  shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-01                  1133 non-null   object\n"," 36  shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-02                  1133 non-null   object\n"," 37  Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02                    1133 non-null   object\n"," 38  Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.04                    1133 non-null   object\n"," 39  shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-03                  1133 non-null   object\n"," 40  Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.06                    1133 non-null   object\n"," 41  Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.08                    1133 non-null   object\n"," 42  Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.10                    1133 non-null   object\n"," 43  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.02  1133 non-null   object\n"," 44  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.04  1133 non-null   object\n"," 45  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.06  1133 non-null   object\n"," 46  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.08  1133 non-null   object\n"," 47  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.10  1133 non-null   object\n"," 48  shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.02     1133 non-null   object\n"," 49  shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.04     1133 non-null   object\n"," 50  shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.06     1133 non-null   object\n"," 51  shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.08     1133 non-null   object\n"," 52  shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.10     1133 non-null   object\n"," 53  shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-04                  1133 non-null   object\n"," 54  shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-05                  1133 non-null   object\n"," 55  shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-06                  1133 non-null   object\n","dtypes: object(56)\n","memory usage: 495.8+ 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":340,"metadata":{},"outputs":[{"data":{"text/plain":["['Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00',\n"," 'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02',\n"," 'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.04',\n"," 'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.06',\n"," 'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.08',\n"," 'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.10',\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',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.00',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.02',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.04',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.06',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.08',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.10',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.00',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.02',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.04',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.06',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.08',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.10']"]},"execution_count":340,"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":341,"metadata":{},"outputs":[{"data":{"text/plain":["(['Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00',\n","  'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02',\n","  'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.04',\n","  'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.06',\n","  'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.08',\n","  'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.10',\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',\n","  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.00',\n","  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.02',\n","  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.04',\n","  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.06',\n","  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.08',\n","  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.10',\n","  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.00',\n","  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.02',\n","  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.04',\n","  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.06',\n","  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.08',\n","  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.10'],\n"," ['chinese',\n","  'english',\n","  'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00',\n","  'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02',\n","  'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.04',\n","  'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.06',\n","  'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.08',\n","  'Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.10',\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',\n","  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.00',\n","  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.02',\n","  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.04',\n","  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.06',\n","  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.08',\n","  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.10',\n","  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.00',\n","  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.02',\n","  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.04',\n","  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.06',\n","  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.08',\n","  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.10'])"]},"execution_count":341,"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":342,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 1133 entries, 0 to 1132\n","Data columns (total 26 columns):\n"," #   Column                                                            Non-Null Count  Dtype \n","---  ------                                                            --------------  ----- \n"," 0   chinese                                                           1133 non-null   object\n"," 1   english                                                           1133 non-null   object\n"," 2   Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00                    1133 non-null   object\n"," 3   Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02                    1133 non-null   object\n"," 4   Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.04                    1133 non-null   object\n"," 5   Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.06                    1133 non-null   object\n"," 6   Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.08                    1133 non-null   object\n"," 7   Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.10                    1133 non-null   object\n"," 8   internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00              1133 non-null   object\n"," 9   internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.02              1133 non-null   object\n"," 10  internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.04              1133 non-null   object\n"," 11  internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06              1133 non-null   object\n"," 12  internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08              1133 non-null   object\n"," 13  internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10              1133 non-null   object\n"," 14  shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.00     1133 non-null   object\n"," 15  shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.02     1133 non-null   object\n"," 16  shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.04     1133 non-null   object\n"," 17  shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.06     1133 non-null   object\n"," 18  shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.08     1133 non-null   object\n"," 19  shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.10     1133 non-null   object\n"," 20  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.00  1133 non-null   object\n"," 21  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.02  1133 non-null   object\n"," 22  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.04  1133 non-null   object\n"," 23  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.06  1133 non-null   object\n"," 24  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.08  1133 non-null   object\n"," 25  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.10  1133 non-null   object\n","dtypes: object(26)\n","memory usage: 230.3+ KB\n"]}],"source":["df.info()"]},{"cell_type":"code","execution_count":343,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["['Qwen/Qwen2-7B-Instruct' 'internlm/internlm2_5-7b-chat'\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat'\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat']\n","Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: {'meteor': 0.445196164290933, 'sacrebleu': {'score': 15.44839843217579, 'counts': [13969, 5772, 2898, 1589], 'totals': [29048, 27915, 26782, 25650], 'precisions': [48.08936931974662, 20.677055346587856, 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{'meteor': 0.40612305164538925, 'sacrebleu': {'score': 13.351680348448609, 'counts': [12744, 5028, 2438, 1333], 'totals': [26804, 25671, 24541, 23412], 'precisions': [47.54514251604238, 19.586303611078648, 9.934395501405811, 5.693661370237485], 'bp': 0.8813288715849295, 'sys_len': 26804, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.13351680348448608, 'precisions': [0.4754514251604238, 0.19586303611078648, 0.09934395501405811, 0.05693661370237485], 'brevity_penalty': 0.8813288715849295, 'length_ratio': 0.8878436568400132, 'translation_length': 26804, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.4423865961019555, 'rouge2': 0.2080313721841581, 'rougeL': 0.3864407451172969, 'rougeLsum': 0.386025204341025}, 'accuracy': 0.01235657546337158, 'correct_ids': [77, 170, 193, 199, 240, 348, 364, 413, 419, 533, 659, 712, 893, 1011]}\n","shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.06: {'meteor': 0.4021147868174495, 'sacrebleu': {'score': 13.109844430795915, 'counts': [12574, 4922, 2384, 1314], 'totals': [26622, 25489, 24359, 23230], 'precisions': [47.23161295169409, 19.31029071364118, 9.786937066382036, 5.656478691347395], 'bp': 0.8745686452607081, 'sys_len': 26622, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.13109844430795917, 'precisions': [0.47231612951694085, 0.1931029071364118, 0.09786937066382036, 0.056564786913473955], 'brevity_penalty': 0.8745686452607081, 'length_ratio': 0.8818151705862869, 'translation_length': 26622, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.43900627634392353, 'rouge2': 0.2042795293121488, 'rougeL': 0.3822868076836304, 'rougeLsum': 0.38155985223841854}, 'accuracy': 0.01323918799646955, 'correct_ids': [77, 170, 193, 199, 240, 348, 364, 413, 419, 533, 658, 659, 712, 1000, 1011]}\n","shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.08: {'meteor': 0.39724610364823615, 'sacrebleu': {'score': 12.816179957408982, 'counts': [12462, 4813, 2326, 1269], 'totals': [26643, 25510, 24380, 23251], 'precisions': [46.77401193559284, 18.867110936887496, 9.540607054963084, 5.457829770762548], 'bp': 0.8753507170417182, 'sys_len': 26643, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.12816179957408982, 'precisions': [0.4677401193559284, 0.18867110936887496, 0.09540607054963085, 0.05457829770762548], 'brevity_penalty': 0.8753507170417182, 'length_ratio': 0.8825107651540245, 'translation_length': 26643, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.4355647599974074, 'rouge2': 0.20002222126045924, 'rougeL': 0.37829257797564964, 'rougeLsum': 0.37758552863723804}, 'accuracy': 0.01323918799646955, 'correct_ids': [77, 170, 193, 199, 240, 348, 364, 413, 419, 533, 534, 659, 712, 1000, 1011]}\n","shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.10: {'meteor': 0.3940139432219259, 'sacrebleu': {'score': 12.371357299922769, 'counts': [12285, 4710, 2232, 1190], 'totals': [26661, 25528, 24398, 23269], 'precisions': [46.07854169010915, 18.450329050454403, 9.148290843511763, 5.114100305126993], 'bp': 0.8760206391096089, 'sys_len': 26661, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.12371357299922771, 'precisions': [0.4607854169010915, 0.18450329050454403, 0.09148290843511764, 0.05114100305126993], 'brevity_penalty': 0.8760206391096089, 'length_ratio': 0.8831069890692282, 'translation_length': 26661, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.43212521611620536, 'rouge2': 0.19627442292565772, 'rougeL': 0.37506361230432067, 'rougeLsum': 0.37449188831251656}, 'accuracy': 0.01412180052956752, 'correct_ids': [77, 170, 193, 199, 240, 348, 364, 413, 419, 533, 534, 658, 659, 712, 1000, 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>spbleu</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_incomplete_translations</th>\n","      <th>num_max_output_tokens</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>1.00</td>\n","      <td>0.445196</td>\n","      <td>15.448398</td>\n","      <td>0.154484</td>\n","      <td>0.419241</td>\n","      <td>0.0</td>\n","      <td>1.830538</td>\n","      <td>1.830538</td>\n","      <td>0.414906</td>\n","      <td>6</td>\n","      <td>2</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>1.02</td>\n","      <td>0.441687</td>\n","      <td>15.275826</td>\n","      <td>0.152758</td>\n","      <td>0.417589</td>\n","      <td>0.0</td>\n","      <td>1.136805</td>\n","      <td>1.136805</td>\n","      <td>0.421956</td>\n","      <td>5</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>1.04</td>\n","      <td>0.441018</td>\n","      <td>14.978039</td>\n","      <td>0.149780</td>\n","      <td>0.415555</td>\n","      <td>0.0</td>\n","      <td>0.157988</td>\n","      <td>0.157988</td>\n","      <td>0.438036</td>\n","      <td>1</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>1.06</td>\n","      <td>0.430463</td>\n","      <td>14.216912</td>\n","      <td>0.142169</td>\n","      <td>0.405871</td>\n","      <td>0.0</td>\n","      <td>0.203001</td>\n","      <td>0.203001</td>\n","      <td>0.426739</td>\n","      <td>1</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>1.08</td>\n","      <td>0.422858</td>\n","      <td>13.548612</td>\n","      <td>0.135486</td>\n","      <td>0.397276</td>\n","      <td>0.0</td>\n","      <td>0.194175</td>\n","      <td>0.194175</td>\n","      <td>0.419356</td>\n","      <td>1</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>1.10</td>\n","      <td>0.415892</td>\n","      <td>13.028638</td>\n","      <td>0.130286</td>\n","      <td>0.389757</td>\n","      <td>0.0</td>\n","      <td>0.177405</td>\n","      <td>0.177405</td>\n","      <td>0.412740</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>1.00</td>\n","      <td>0.429150</td>\n","      <td>15.096431</td>\n","      <td>0.150964</td>\n","      <td>0.411876</td>\n","      <td>0.0</td>\n","      <td>1.579876</td>\n","      <td>1.579876</td>\n","      <td>0.403449</td>\n","      <td>1</td>\n","      <td>2</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>1.02</td>\n","      <td>0.427085</td>\n","      <td>14.444810</td>\n","      <td>0.144448</td>\n","      <td>0.407346</td>\n","      <td>0.0</td>\n","      <td>1.338923</td>\n","      <td>1.338923</td>\n","      <td>0.404984</td>\n","      <td>0</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>1.04</td>\n","      <td>0.417029</td>\n","      <td>13.695764</td>\n","      <td>0.136958</td>\n","      <td>0.398566</td>\n","      <td>0.0</td>\n","      <td>1.343336</td>\n","      <td>1.343336</td>\n","      <td>0.395385</td>\n","      <td>0</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>1.06</td>\n","      <td>0.402292</td>\n","      <td>12.198244</td>\n","      <td>0.121982</td>\n","      <td>0.387323</td>\n","      <td>0.0</td>\n","      <td>1.349515</td>\n","      <td>1.349515</td>\n","      <td>0.381328</td>\n","      <td>1</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>10</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>1.08</td>\n","      <td>0.388262</td>\n","      <td>11.099801</td>\n","      <td>0.110998</td>\n","      <td>0.374840</td>\n","      <td>0.0</td>\n","      <td>1.323919</td>\n","      <td>1.323919</td>\n","      <td>0.368371</td>\n","      <td>1</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>11</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>1.10</td>\n","      <td>0.375962</td>\n","      <td>10.355853</td>\n","      <td>0.103559</td>\n","      <td>0.361538</td>\n","      <td>0.0</td>\n","      <td>0.138570</td>\n","      <td>0.138570</td>\n","      <td>0.373729</td>\n","      <td>1</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>12</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>1.00</td>\n","      <td>0.434412</td>\n","      <td>15.359736</td>\n","      <td>0.153597</td>\n","      <td>0.409622</td>\n","      <td>0.0</td>\n","      <td>0.735216</td>\n","      <td>0.735216</td>\n","      <td>0.421427</td>\n","      <td>0</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>13</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>1.02</td>\n","      <td>0.432523</td>\n","      <td>15.299640</td>\n","      <td>0.152996</td>\n","      <td>0.407627</td>\n","      <td>0.0</td>\n","      <td>0.810238</td>\n","      <td>0.810238</td>\n","      <td>0.418368</td>\n","      <td>0</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>14</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>1.04</td>\n","      <td>0.432503</td>\n","      <td>15.000285</td>\n","      <td>0.150003</td>\n","      <td>0.406807</td>\n","      <td>0.0</td>\n","      <td>0.110327</td>\n","      <td>0.110327</td>\n","      <td>0.430452</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>15</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>1.06</td>\n","      <td>0.426892</td>\n","      <td>14.428999</td>\n","      <td>0.144290</td>\n","      <td>0.401400</td>\n","      <td>0.0</td>\n","      <td>0.132392</td>\n","      <td>0.132392</td>\n","      <td>0.424468</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>16</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>1.08</td>\n","      <td>0.420853</td>\n","      <td>13.958377</td>\n","      <td>0.139584</td>\n","      <td>0.396473</td>\n","      <td>0.0</td>\n","      <td>0.128861</td>\n","      <td>0.128861</td>\n","      <td>0.418525</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>17</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>1.10</td>\n","      <td>0.412435</td>\n","      <td>13.262186</td>\n","      <td>0.132622</td>\n","      <td>0.388802</td>\n","      <td>0.0</td>\n","      <td>0.133274</td>\n","      <td>0.133274</td>\n","      <td>0.410077</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>18</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>1.00</td>\n","      <td>0.406359</td>\n","      <td>13.545948</td>\n","      <td>0.135459</td>\n","      <td>0.387291</td>\n","      <td>0.0</td>\n","      <td>0.986761</td>\n","      <td>0.986761</td>\n","      <td>0.390403</td>\n","      <td>0</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>19</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>1.02</td>\n","      <td>0.406512</td>\n","      <td>13.356159</td>\n","      <td>0.133562</td>\n","      <td>0.386180</td>\n","      <td>0.0</td>\n","      <td>0.108561</td>\n","      <td>0.108561</td>\n","      <td>0.404615</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>20</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>1.04</td>\n","      <td>0.406123</td>\n","      <td>13.351680</td>\n","      <td>0.133517</td>\n","      <td>0.386441</td>\n","      <td>0.0</td>\n","      <td>0.157988</td>\n","      <td>0.157988</td>\n","      <td>0.403377</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>21</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>1.06</td>\n","      <td>0.402115</td>\n","      <td>13.109844</td>\n","      <td>0.131098</td>\n","      <td>0.382287</td>\n","      <td>0.0</td>\n","      <td>0.182701</td>\n","      <td>0.182701</td>\n","      <td>0.398978</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>22</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>1.08</td>\n","      <td>0.397246</td>\n","      <td>12.816180</td>\n","      <td>0.128162</td>\n","      <td>0.378293</td>\n","      <td>0.0</td>\n","      <td>0.182701</td>\n","      <td>0.182701</td>\n","      <td>0.394147</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>23</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>1.10</td>\n","      <td>0.394014</td>\n","      <td>12.371357</td>\n","      <td>0.123714</td>\n","      <td>0.375064</td>\n","      <td>0.0</td>\n","      <td>0.150044</td>\n","      <td>0.150044</td>\n","      <td>0.391482</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                                        model   rpp    meteor     spbleu  \\\n","0                      Qwen/Qwen2-7B-Instruct  1.00  0.445196  15.448398   \n","1                      Qwen/Qwen2-7B-Instruct  1.02  0.441687  15.275826   \n","2                      Qwen/Qwen2-7B-Instruct  1.04  0.441018  14.978039   \n","3                      Qwen/Qwen2-7B-Instruct  1.06  0.430463  14.216912   \n","4                      Qwen/Qwen2-7B-Instruct  1.08  0.422858  13.548612   \n","5                      Qwen/Qwen2-7B-Instruct  1.10  0.415892  13.028638   \n","6                internlm/internlm2_5-7b-chat  1.00  0.429150  15.096431   \n","7                internlm/internlm2_5-7b-chat  1.02  0.427085  14.444810   \n","8                internlm/internlm2_5-7b-chat  1.04  0.417029  13.695764   \n","9                internlm/internlm2_5-7b-chat  1.06  0.402292  12.198244   \n","10               internlm/internlm2_5-7b-chat  1.08  0.388262  11.099801   \n","11               internlm/internlm2_5-7b-chat  1.10  0.375962  10.355853   \n","12      shenzhi-wang/Llama3.1-8B-Chinese-Chat  1.00  0.434412  15.359736   \n","13      shenzhi-wang/Llama3.1-8B-Chinese-Chat  1.02  0.432523  15.299640   \n","14      shenzhi-wang/Llama3.1-8B-Chinese-Chat  1.04  0.432503  15.000285   \n","15      shenzhi-wang/Llama3.1-8B-Chinese-Chat  1.06  0.426892  14.428999   \n","16      shenzhi-wang/Llama3.1-8B-Chinese-Chat  1.08  0.420853  13.958377   \n","17      shenzhi-wang/Llama3.1-8B-Chinese-Chat  1.10  0.412435  13.262186   \n","18  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat  1.00  0.406359  13.545948   \n","19  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat  1.02  0.406512  13.356159   \n","20  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat  1.04  0.406123  13.351680   \n","21  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat  1.06  0.402115  13.109844   \n","22  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat  1.08  0.397246  12.816180   \n","23  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat  1.10  0.394014  12.371357   \n","\n","      bleu_1   rouge_l  ews_score  repetition_score  total_repetitions  \\\n","0   0.154484  0.419241        0.0          1.830538           1.830538   \n","1   0.152758  0.417589        0.0          1.136805           1.136805   \n","2   0.149780  0.415555        0.0          0.157988           0.157988   \n","3   0.142169  0.405871        0.0          0.203001           0.203001   \n","4   0.135486  0.397276        0.0          0.194175           0.194175   \n","5   0.130286  0.389757        0.0          0.177405           0.177405   \n","6   0.150964  0.411876        0.0          1.579876           1.579876   \n","7   0.144448  0.407346        0.0          1.338923           1.338923   \n","8   0.136958  0.398566        0.0          1.343336           1.343336   \n","9   0.121982  0.387323        0.0          1.349515           1.349515   \n","10  0.110998  0.374840        0.0          1.323919           1.323919   \n","11  0.103559  0.361538        0.0          0.138570           0.138570   \n","12  0.153597  0.409622        0.0          0.735216           0.735216   \n","13  0.152996  0.407627        0.0          0.810238           0.810238   \n","14  0.150003  0.406807        0.0          0.110327           0.110327   \n","15  0.144290  0.401400        0.0          0.132392           0.132392   \n","16  0.139584  0.396473        0.0          0.128861           0.128861   \n","17  0.132622  0.388802        0.0          0.133274           0.133274   \n","18  0.135459  0.387291        0.0          0.986761           0.986761   \n","19  0.133562  0.386180        0.0          0.108561           0.108561   \n","20  0.133517  0.386441        0.0          0.157988           0.157988   \n","21  0.131098  0.382287        0.0          0.182701           0.182701   \n","22  0.128162  0.378293        0.0          0.182701           0.182701   \n","23  0.123714  0.375064        0.0          0.150044           0.150044   \n","\n","         rap  num_incomplete_translations  num_max_output_tokens  \n","0   0.414906                            6                      2  \n","1   0.421956                            5                      1  \n","2   0.438036                            1                      0  \n","3   0.426739                            1                      0  \n","4   0.419356                            1                      0  \n","5   0.412740                            0                      0  \n","6   0.403449                            1                      2  \n","7   0.404984                            0                      1  \n","8   0.395385                            0                      1  \n","9   0.381328                            1                      1  \n","10  0.368371                            1                      1  \n","11  0.373729                            1                      0  \n","12  0.421427                            0                      1  \n","13  0.418368                            0                      1  \n","14  0.430452                            0                      0  \n","15  0.424468                            0                      0  \n","16  0.418525                            0                      0  \n","17  0.410077                            0                      0  \n","18  0.390403                            0                      1  \n","19  0.404615                            0                      0  \n","20  0.403377                            0                      0  \n","21  0.398978                            0                      0  \n","22  0.394147                            0                      0  \n","23  0.391482                            0                      0  "]},"execution_count":343,"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":344,"metadata":{},"outputs":[{"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-1.txt\n","Loading content of logs/l40-1gpu-rpp-2.txt\n","Loading content of logs/l40-1gpu-rpp-3.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-1.txt\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-4.txt\n","Loading content of logs/openai-gpt-4o-mini-fine-tuned.txt\n","Loading content of logs/openai-gpt-4o-mini.txt\n","Loading content of logs/openai-gpt-4o.txt\n","Loading content of logs/openai-training-sample.jsonl\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>6</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>1.00</td>\n","      <td>1.252427</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>1.00</td>\n","      <td>1.078553</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>1.00</td>\n","      <td>1.187114</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>1.00</td>\n","      <td>1.102383</td>\n","    </tr>\n","    <tr>\n","      <th>10</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>1.02</td>\n","      <td>1.285966</td>\n","    </tr>\n","    <tr>\n","      <th>11</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>1.04</td>\n","      <td>1.281553</td>\n","    </tr>\n","    <tr>\n","      <th>12</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>1.06</td>\n","      <td>1.283319</td>\n","    </tr>\n","    <tr>\n","      <th>13</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>1.08</td>\n","      <td>1.306267</td>\n","    </tr>\n","    <tr>\n","      <th>14</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>1.10</td>\n","      <td>1.309797</td>\n","    </tr>\n","    <tr>\n","      <th>15</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>1.02</td>\n","      <td>1.046778</td>\n","    </tr>\n","    <tr>\n","      <th>16</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>1.04</td>\n","      <td>1.026478</td>\n","    </tr>\n","    <tr>\n","      <th>17</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>1.06</td>\n","      <td>1.017652</td>\n","    </tr>\n","    <tr>\n","      <th>18</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>1.08</td>\n","      <td>1.015004</td>\n","    </tr>\n","    <tr>\n","      <th>19</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>1.10</td>\n","      <td>1.023831</td>\n","    </tr>\n","    <tr>\n","      <th>20</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>1.02</td>\n","      <td>1.188879</td>\n","    </tr>\n","    <tr>\n","      <th>21</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>1.04</td>\n","      <td>1.179170</td>\n","    </tr>\n","    <tr>\n","      <th>22</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>1.06</td>\n","      <td>1.173875</td>\n","    </tr>\n","    <tr>\n","      <th>23</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>1.08</td>\n","      <td>1.175640</td>\n","    </tr>\n","    <tr>\n","      <th>24</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>1.10</td>\n","      <td>1.181818</td>\n","    </tr>\n","    <tr>\n","      <th>25</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>1.02</td>\n","      <td>1.134157</td>\n","    </tr>\n","    <tr>\n","      <th>26</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>1.04</td>\n","      <td>1.100618</td>\n","    </tr>\n","    <tr>\n","      <th>27</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>1.06</td>\n","      <td>1.090909</td>\n","    </tr>\n","    <tr>\n","      <th>28</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>1.08</td>\n","      <td>1.100618</td>\n","    </tr>\n","    <tr>\n","      <th>29</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>1.10</td>\n","      <td>1.107679</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                                        model   rpp  eval_time\n","6                internlm/internlm2_5-7b-chat  1.00   1.252427\n","7                      Qwen/Qwen2-7B-Instruct  1.00   1.078553\n","8   shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat  1.00   1.187114\n","9       shenzhi-wang/Llama3.1-8B-Chinese-Chat  1.00   1.102383\n","10               internlm/internlm2_5-7b-chat  1.02   1.285966\n","11               internlm/internlm2_5-7b-chat  1.04   1.281553\n","12               internlm/internlm2_5-7b-chat  1.06   1.283319\n","13               internlm/internlm2_5-7b-chat  1.08   1.306267\n","14               internlm/internlm2_5-7b-chat  1.10   1.309797\n","15                     Qwen/Qwen2-7B-Instruct  1.02   1.046778\n","16                     Qwen/Qwen2-7B-Instruct  1.04   1.026478\n","17                     Qwen/Qwen2-7B-Instruct  1.06   1.017652\n","18                     Qwen/Qwen2-7B-Instruct  1.08   1.015004\n","19                     Qwen/Qwen2-7B-Instruct  1.10   1.023831\n","20  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat  1.02   1.188879\n","21  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat  1.04   1.179170\n","22  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat  1.06   1.173875\n","23  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat  1.08   1.175640\n","24  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat  1.10   1.181818\n","25      shenzhi-wang/Llama3.1-8B-Chinese-Chat  1.02   1.134157\n","26      shenzhi-wang/Llama3.1-8B-Chinese-Chat  1.04   1.100618\n","27      shenzhi-wang/Llama3.1-8B-Chinese-Chat  1.06   1.090909\n","28      shenzhi-wang/Llama3.1-8B-Chinese-Chat  1.08   1.100618\n","29      shenzhi-wang/Llama3.1-8B-Chinese-Chat  1.10   1.107679"]},"execution_count":344,"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":345,"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>spbleu</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_incomplete_translations</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>Qwen/Qwen2-7B-Instruct</td>\n","      <td>1.00</td>\n","      <td>0.445196</td>\n","      <td>15.448398</td>\n","      <td>0.154484</td>\n","      <td>0.419241</td>\n","      <td>0.0</td>\n","      <td>1.830538</td>\n","      <td>1.830538</td>\n","      <td>0.414906</td>\n","      <td>6</td>\n","      <td>2</td>\n","      <td>1.078553</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>1.02</td>\n","      <td>0.441687</td>\n","      <td>15.275826</td>\n","      <td>0.152758</td>\n","      <td>0.417589</td>\n","      <td>0.0</td>\n","      <td>1.136805</td>\n","      <td>1.136805</td>\n","      <td>0.421956</td>\n","      <td>5</td>\n","      <td>1</td>\n","      <td>1.046778</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>1.04</td>\n","      <td>0.441018</td>\n","      <td>14.978039</td>\n","      <td>0.149780</td>\n","      <td>0.415555</td>\n","      <td>0.0</td>\n","      <td>0.157988</td>\n","      <td>0.157988</td>\n","      <td>0.438036</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>1.026478</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>1.06</td>\n","      <td>0.430463</td>\n","      <td>14.216912</td>\n","      <td>0.142169</td>\n","      <td>0.405871</td>\n","      <td>0.0</td>\n","      <td>0.203001</td>\n","      <td>0.203001</td>\n","      <td>0.426739</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>1.017652</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>1.08</td>\n","      <td>0.422858</td>\n","      <td>13.548612</td>\n","      <td>0.135486</td>\n","      <td>0.397276</td>\n","      <td>0.0</td>\n","      <td>0.194175</td>\n","      <td>0.194175</td>\n","      <td>0.419356</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>1.015004</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>1.10</td>\n","      <td>0.415892</td>\n","      <td>13.028638</td>\n","      <td>0.130286</td>\n","      <td>0.389757</td>\n","      <td>0.0</td>\n","      <td>0.177405</td>\n","      <td>0.177405</td>\n","      <td>0.412740</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.023831</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>1.00</td>\n","      <td>0.429150</td>\n","      <td>15.096431</td>\n","      <td>0.150964</td>\n","      <td>0.411876</td>\n","      <td>0.0</td>\n","      <td>1.579876</td>\n","      <td>1.579876</td>\n","      <td>0.403449</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>1.252427</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>1.02</td>\n","      <td>0.427085</td>\n","      <td>14.444810</td>\n","      <td>0.144448</td>\n","      <td>0.407346</td>\n","      <td>0.0</td>\n","      <td>1.338923</td>\n","      <td>1.338923</td>\n","      <td>0.404984</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>1.285966</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>1.04</td>\n","      <td>0.417029</td>\n","      <td>13.695764</td>\n","      <td>0.136958</td>\n","      <td>0.398566</td>\n","      <td>0.0</td>\n","      <td>1.343336</td>\n","      <td>1.343336</td>\n","      <td>0.395385</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>1.281553</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>1.06</td>\n","      <td>0.402292</td>\n","      <td>12.198244</td>\n","      <td>0.121982</td>\n","      <td>0.387323</td>\n","      <td>0.0</td>\n","      <td>1.349515</td>\n","      <td>1.349515</td>\n","      <td>0.381328</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1.283319</td>\n","    </tr>\n","    <tr>\n","      <th>10</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>1.08</td>\n","      <td>0.388262</td>\n","      <td>11.099801</td>\n","      <td>0.110998</td>\n","      <td>0.374840</td>\n","      <td>0.0</td>\n","      <td>1.323919</td>\n","      <td>1.323919</td>\n","      <td>0.368371</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1.306267</td>\n","    </tr>\n","    <tr>\n","      <th>11</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>1.10</td>\n","      <td>0.375962</td>\n","      <td>10.355853</td>\n","      <td>0.103559</td>\n","      <td>0.361538</td>\n","      <td>0.0</td>\n","      <td>0.138570</td>\n","      <td>0.138570</td>\n","      <td>0.373729</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>1.309797</td>\n","    </tr>\n","    <tr>\n","      <th>12</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>1.00</td>\n","      <td>0.434412</td>\n","      <td>15.359736</td>\n","      <td>0.153597</td>\n","      <td>0.409622</td>\n","      <td>0.0</td>\n","      <td>0.735216</td>\n","      <td>0.735216</td>\n","      <td>0.421427</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>1.102383</td>\n","    </tr>\n","    <tr>\n","      <th>13</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>1.02</td>\n","      <td>0.432523</td>\n","      <td>15.299640</td>\n","      <td>0.152996</td>\n","      <td>0.407627</td>\n","      <td>0.0</td>\n","      <td>0.810238</td>\n","      <td>0.810238</td>\n","      <td>0.418368</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>1.134157</td>\n","    </tr>\n","    <tr>\n","      <th>14</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>1.04</td>\n","      <td>0.432503</td>\n","      <td>15.000285</td>\n","      <td>0.150003</td>\n","      <td>0.406807</td>\n","      <td>0.0</td>\n","      <td>0.110327</td>\n","      <td>0.110327</td>\n","      <td>0.430452</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.100618</td>\n","    </tr>\n","    <tr>\n","      <th>15</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>1.06</td>\n","      <td>0.426892</td>\n","      <td>14.428999</td>\n","      <td>0.144290</td>\n","      <td>0.401400</td>\n","      <td>0.0</td>\n","      <td>0.132392</td>\n","      <td>0.132392</td>\n","      <td>0.424468</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.090909</td>\n","    </tr>\n","    <tr>\n","      <th>16</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>1.08</td>\n","      <td>0.420853</td>\n","      <td>13.958377</td>\n","      <td>0.139584</td>\n","      <td>0.396473</td>\n","      <td>0.0</td>\n","      <td>0.128861</td>\n","      <td>0.128861</td>\n","      <td>0.418525</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.100618</td>\n","    </tr>\n","    <tr>\n","      <th>17</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>1.10</td>\n","      <td>0.412435</td>\n","      <td>13.262186</td>\n","      <td>0.132622</td>\n","      <td>0.388802</td>\n","      <td>0.0</td>\n","      <td>0.133274</td>\n","      <td>0.133274</td>\n","      <td>0.410077</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.107679</td>\n","    </tr>\n","    <tr>\n","      <th>18</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>1.00</td>\n","      <td>0.406359</td>\n","      <td>13.545948</td>\n","      <td>0.135459</td>\n","      <td>0.387291</td>\n","      <td>0.0</td>\n","      <td>0.986761</td>\n","      <td>0.986761</td>\n","      <td>0.390403</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>1.187114</td>\n","    </tr>\n","    <tr>\n","      <th>19</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>1.02</td>\n","      <td>0.406512</td>\n","      <td>13.356159</td>\n","      <td>0.133562</td>\n","      <td>0.386180</td>\n","      <td>0.0</td>\n","      <td>0.108561</td>\n","      <td>0.108561</td>\n","      <td>0.404615</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.188879</td>\n","    </tr>\n","    <tr>\n","      <th>20</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>1.04</td>\n","      <td>0.406123</td>\n","      <td>13.351680</td>\n","      <td>0.133517</td>\n","      <td>0.386441</td>\n","      <td>0.0</td>\n","      <td>0.157988</td>\n","      <td>0.157988</td>\n","      <td>0.403377</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.179170</td>\n","    </tr>\n","    <tr>\n","      <th>21</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>1.06</td>\n","      <td>0.402115</td>\n","      <td>13.109844</td>\n","      <td>0.131098</td>\n","      <td>0.382287</td>\n","      <td>0.0</td>\n","      <td>0.182701</td>\n","      <td>0.182701</td>\n","      <td>0.398978</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.173875</td>\n","    </tr>\n","    <tr>\n","      <th>22</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>1.08</td>\n","      <td>0.397246</td>\n","      <td>12.816180</td>\n","      <td>0.128162</td>\n","      <td>0.378293</td>\n","      <td>0.0</td>\n","      <td>0.182701</td>\n","      <td>0.182701</td>\n","      <td>0.394147</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.175640</td>\n","    </tr>\n","    <tr>\n","      <th>23</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>1.10</td>\n","      <td>0.394014</td>\n","      <td>12.371357</td>\n","      <td>0.123714</td>\n","      <td>0.375064</td>\n","      <td>0.0</td>\n","      <td>0.150044</td>\n","      <td>0.150044</td>\n","      <td>0.391482</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.181818</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                                        model   rpp    meteor     spbleu  \\\n","0                      Qwen/Qwen2-7B-Instruct  1.00  0.445196  15.448398   \n","1                      Qwen/Qwen2-7B-Instruct  1.02  0.441687  15.275826   \n","2                      Qwen/Qwen2-7B-Instruct  1.04  0.441018  14.978039   \n","3                      Qwen/Qwen2-7B-Instruct  1.06  0.430463  14.216912   \n","4                      Qwen/Qwen2-7B-Instruct  1.08  0.422858  13.548612   \n","5                      Qwen/Qwen2-7B-Instruct  1.10  0.415892  13.028638   \n","6                internlm/internlm2_5-7b-chat  1.00  0.429150  15.096431   \n","7                internlm/internlm2_5-7b-chat  1.02  0.427085  14.444810   \n","8                internlm/internlm2_5-7b-chat  1.04  0.417029  13.695764   \n","9                internlm/internlm2_5-7b-chat  1.06  0.402292  12.198244   \n","10               internlm/internlm2_5-7b-chat  1.08  0.388262  11.099801   \n","11               internlm/internlm2_5-7b-chat  1.10  0.375962  10.355853   \n","12      shenzhi-wang/Llama3.1-8B-Chinese-Chat  1.00  0.434412  15.359736   \n","13      shenzhi-wang/Llama3.1-8B-Chinese-Chat  1.02  0.432523  15.299640   \n","14      shenzhi-wang/Llama3.1-8B-Chinese-Chat  1.04  0.432503  15.000285   \n","15      shenzhi-wang/Llama3.1-8B-Chinese-Chat  1.06  0.426892  14.428999   \n","16      shenzhi-wang/Llama3.1-8B-Chinese-Chat  1.08  0.420853  13.958377   \n","17      shenzhi-wang/Llama3.1-8B-Chinese-Chat  1.10  0.412435  13.262186   \n","18  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat  1.00  0.406359  13.545948   \n","19  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat  1.02  0.406512  13.356159   \n","20  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat  1.04  0.406123  13.351680   \n","21  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat  1.06  0.402115  13.109844   \n","22  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat  1.08  0.397246  12.816180   \n","23  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat  1.10  0.394014  12.371357   \n","\n","      bleu_1   rouge_l  ews_score  repetition_score  total_repetitions  \\\n","0   0.154484  0.419241        0.0          1.830538           1.830538   \n","1   0.152758  0.417589        0.0          1.136805           1.136805   \n","2   0.149780  0.415555        0.0          0.157988           0.157988   \n","3   0.142169  0.405871        0.0          0.203001           0.203001   \n","4   0.135486  0.397276        0.0          0.194175           0.194175   \n","5   0.130286  0.389757        0.0          0.177405           0.177405   \n","6   0.150964  0.411876        0.0          1.579876           1.579876   \n","7   0.144448  0.407346        0.0          1.338923           1.338923   \n","8   0.136958  0.398566        0.0          1.343336           1.343336   \n","9   0.121982  0.387323        0.0          1.349515           1.349515   \n","10  0.110998  0.374840        0.0          1.323919           1.323919   \n","11  0.103559  0.361538        0.0          0.138570           0.138570   \n","12  0.153597  0.409622        0.0          0.735216           0.735216   \n","13  0.152996  0.407627        0.0          0.810238           0.810238   \n","14  0.150003  0.406807        0.0          0.110327           0.110327   \n","15  0.144290  0.401400        0.0          0.132392           0.132392   \n","16  0.139584  0.396473        0.0          0.128861           0.128861   \n","17  0.132622  0.388802        0.0          0.133274           0.133274   \n","18  0.135459  0.387291        0.0          0.986761           0.986761   \n","19  0.133562  0.386180        0.0          0.108561           0.108561   \n","20  0.133517  0.386441        0.0          0.157988           0.157988   \n","21  0.131098  0.382287        0.0          0.182701           0.182701   \n","22  0.128162  0.378293        0.0          0.182701           0.182701   \n","23  0.123714  0.375064        0.0          0.150044           0.150044   \n","\n","         rap  num_incomplete_translations  num_max_output_tokens  eval_time  \n","0   0.414906                            6                      2   1.078553  \n","1   0.421956                            5                      1   1.046778  \n","2   0.438036                            1                      0   1.026478  \n","3   0.426739                            1                      0   1.017652  \n","4   0.419356                            1                      0   1.015004  \n","5   0.412740                            0                      0   1.023831  \n","6   0.403449                            1                      2   1.252427  \n","7   0.404984                            0                      1   1.285966  \n","8   0.395385                            0                      1   1.281553  \n","9   0.381328                            1                      1   1.283319  \n","10  0.368371                            1                      1   1.306267  \n","11  0.373729                            1                      0   1.309797  \n","12  0.421427                            0                      1   1.102383  \n","13  0.418368                            0                      1   1.134157  \n","14  0.430452                            0                      0   1.100618  \n","15  0.424468                            0                      0   1.090909  \n","16  0.418525                            0                      0   1.100618  \n","17  0.410077                            0                      0   1.107679  \n","18  0.390403                            0                      1   1.187114  \n","19  0.404615                            0                      0   1.188879  \n","20  0.403377                            0                      0   1.179170  \n","21  0.398978                            0                      0   1.173875  \n","22  0.394147                            0                      0   1.175640  \n","23  0.391482                            0                      0   1.181818  "]},"execution_count":345,"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":346,"metadata":{},"outputs":[{"data":{"text/plain":["array(['Qwen/Qwen2-7B-Instruct', 'internlm/internlm2_5-7b-chat',\n","       'shenzhi-wang/Llama3.1-8B-Chinese-Chat',\n","       'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat'], dtype=object)"]},"execution_count":346,"metadata":{},"output_type":"execute_result"}],"source":["models = metrics_df[\"model\"].unique()\n","models"]},{"cell_type":"code","execution_count":347,"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":348,"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":349,"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(\"Repetition Penalty Parameter (RPP)\")\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":350,"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":351,"metadata":{},"outputs":[{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAA1cAAAJuCAYAAABcwPghAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/TGe4hAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdeXjU1dn/8fcsmewLScgGAZKwk7DvCCqggIDa1qqte62tFtunpdbqU6vFp1XbX+vSNlVrtba2VVtrraCAgoggmxCWsC8hhCX7vi8z8/vjm0wyJEACCTNJPq/rmsuZ813mHno6zM055z4mp9PpRERERERERC6J2dMBiIiIiIiI9ARKrkRERERERDqBkisREREREZFOoORKRERERESkEyi5EhERERER6QRKrkRERERERDqBkisREREREZFOYPV0AN7I4XBw5swZgoODMZlMng5HREREREQ8xOl0Ul5eTlxcHGbz+cemlFy14cyZM8THx3s6DBERERER8RInT56kf//+5z1HyVUbgoODAeMPMCQkxMPRALfcAm+/7ekopDtRn5GOUp+RjlKfkY5Sn5GO8pI+U1ZWRnx8vCtHOB8lV21omgoYEhLiHcmVjw94QxzSfajPSEepz0hHqc9IR6nPSEd5WZ9pz3IhFbQQERERERHpBEquWkhNTWXkyJFMmjTJ06GIiIiIiEg3o+SqhSVLlrB//36++OILT4ciIiIiIiLdjJIrERERERGRTqDkSkREREREpBMouRIREREREekESq5EREREREQ6gZIrERERERGRTqDkSkREREREpBMouRIREREREekESq5EREREREQ6gZIrERERERGRTqDkSkREREREpBMouWohNTWVkSNHMmnSJE+HAoDd4WTzsUL+G5LE5mOF2B1OT4ckIiIiIiLnYPV0AN5kyZIlLFmyhLKyMkJDQz0ay6q92Sxbvp/s0hroPxde2UJsqB9PLB7J/ORYj8YmIiIiIiKtaeTKC63am80Df0szEqsWckpreOBvaazam+2hyERERERE5FyUXHkZu8PJsuX7aWsCYFPbsuX7NUVQRERERMTLKLnyMtuOF7UasWrJCWSX1vCfnaeoa3BcvsBEREREROS8tObKy+SVnzuxaumhf+3h4Xf2EB8eQGJkIIl9g0iIDCSxbyBJfYOICvbFZDJ1cbQiIiIiItJEyZWXiQr2a9d5flYzNQ0OThRWcaKwinWH8t2OB9osJPQNJDEyiMS+gSREGklXQmQggb76n11EREREpLPpV7aXmZwQTmyoHzmlNW2uuzIBMaF+bHj4agor6ziWX0FGfiXHCyrJyK8go6CSk0VVVNbZ2Xu6jL2ny1rdIzrEt1XSldg3kH5h/lgtmikqIiIiInIxlFx5GYvZxBOLR/LA39IwgVuC1TTJ74nFI7FazESH+BEd4sf0pEi3e9Q1OMgqquRYy6Sr8XlhZR25ZbXkltWyOaPQ7Tofi4mBEYEkRgaS0DeQpBYJWHigTdMMRURERETOQ8mVF5qfHMuLt49v3ueqUUw797myWc0MjgpmcFRwq2MlVXVkFFRyPL+SjAIj6crIr+R4YSV1DQ6O5lVwNK+i1XWh/j7uI12NCdigiED8fCyX/qFFRERERLo5JVdean5yLNeMjGHb8SLynvg5UcseY3JCOBbzpY0ehQXYGD/AxvgBfdzaHQ4np0uqGxMvY3ph02jX6ZJqSqvr2ZlVws6sErfrTCboF+ZPYmPCldi4ziuhbyCxIX6YLzFeEREREZHuQsmVF7OYTUxLioCyY5AU0aXvZTabiA8PID48gCuH9nU7Vl1n53iB+7qujMbn5TUNnCqu5lRxNZ8ddi+q4edjJiGyRdLVN9B43TeQED+fLv08IiIiIiKXm5KrFlJTU0lNTcVut3s6FK/ib7MwMi6EkXEhbu1Op5OCijr3pKtxumFWYRU19Q4OZJdxILt1UY3IIN82k64B4QH4qKiGiIiIiHRDSq5aWLJkCUuWLKGsrIzQ0FBPh+P1TCYTfYN96Rvsy+SEcLdj9XYHp4qrXcU0XOu7CirJL6+loMJ4bMsscrvOYjYxwLV3l/v+XX2DtHeXiIiIiHgvJVfSJXwsZhIijQIYc0a4HyurqSezaZTrrPVd1fXNUxDXHnS/LtjX2rh3l3vSlRAZSIBNXVlEREREPEu/SOWyC/HzYXT/MEb3D3Nrdzic5JbXtEq6MgoqOFVcTXltA3tOlbLnVGmre8aG+jUX02hMupL6BhEX5n/JRUBERERERNpDyZV4DbPZRGyoP7Gh/swY7L53V029nayiKvekK7+C4wWVFFfVk11aQ3ZpDZ8fdd+7y2Y1MygiwFXBsGnUKzEykD6Btsv58URERESkh1NyJd2Cn4+FodHBDI1uvXdXcWWd25qupqQrs6CKugYHh3MrOJzbeu+uPgE+rkQroXHUK6lvIAMiAvC1au8uEREREekYJVfS7fUJtDEhMJwJA92LatgdTk4XV3OsoMJt0+TjBZVkl9ZQXFXPjhPF7DhR7Had2QT9+wS41nMl9g0iqTEBiwnxU1ENEREREWmTkivpsSxmEwMiAhgQEcDVw9yPVdY2tNi7y0i8mp5X1DaQVVRFVlEVnx5y37srwGZxFepI7GuMdDU9D/LV/51EREREejP9GpReKdDXSnK/UJL7uZfcdzqd5JfXtlrXlVFQSVZRFVV1dvadKWPfmdZ7d0UF+7olXU37d8X38ceqvbtEREREejwlVyItmEwmokL8iArxY2pihNuxugYHJ4ur3JOuxlGvgoo68sprySuvZetx9727fCzG3l0Jke5JV2LfQCICbZ06zdDucLLteBF5IUlEHStkckK4qiWKiIiIXCZKrkTayWY1k9Q3iKS+QUC027HS6vrGZKt5Xdex/AoyCyupqXdwLL+SY/mVrDngfs8QPysJjWu6WiZdCZGB+Pl0rKjGqr3ZLFu+n+zSGug/F17ZQmyoH08sHsn85NhL/PQiIiIiciFKrkQ6Qai/D2PjwxgbH+bW7nA4yS6raZV0ZeRXcqa0mrKaBnafLGH3yZJW9+wX5t+4d1fzuq7EvoHEhfpjPms0atXebB74WxrOs+6RU1rDA39L48XbxyvBEhEREeliSq5aSE1NJTU1Fbvd7ulQpIcwm030C/OnX5g/M4f0dTtWU28ns7CyVdKVkV9BWU0Dp0uqOV1SzYYjBW7X+VrNro2SEyODGBgRwDMrD7ZKrACcgAlYtnw/14yM0RRBERERkS6k5KqFJUuWsGTJEsrKyggNDb3wBSKXwM/HwvCYEIbHhLi1O51OiirryCio5Hh+JcdalJA/UVhJbYODgznlHMwpb9f7OIHs0hoefmc3SVFB+Fot2KxmfC1mfH3M2Cxm43VTu9V43fK5r8XiOvfsUTPp3rROT0REpPMouRLxMiaTiYggXyKCfJk0yH3vrga7g1PF1c0jXQWVbDteyNG8ygve999ppzslPqvZ1Jx0NSZkbkmZxYyvj6Xxv0YS1zpps5z7mgud2/TcYtaeY5dI6/REREQ6l5IrkW7EajEzKDKQQZGBXD08CoDNxwr52itbLnjt3BFRhAXYqGtwUNfgoLbBTp3dQW29gzp7U1vzf2sb7Ma5dgfOFnMOGxxOGursVNbZgfou+qTt05SMnSt5s7UYnWtK3prObXXdWUlhWyN650oqrWZTt0v0tE5PRESk8ym5EunmJieEExvqR05pTZvrrkxATKgfL98x8aKmezmdTurtzsZEzH7+ROys9rpzJHC1LRO8Fq/r7G3fy/Xc7nCLrc7e2FZ7cX92ncVkapnoWdpO3pqSsrNG8s5O1M6+rq1rmtrbOrc9/xvbHU6WLd+vdXoiIiKdTMmVSDdnMZt4YvFIHvhbGiZw+8Hc9LP4icUjL/pHsslkwmY1YbOaCfL17FeGw+F0JVStky/3pOzs0Tf3BK/tZLDWdW7rJLLurPvV25v/pJ1OXNdDg+f+gDD6Q+vRt+akz2Y1U13XYEwFPIemdXrbjhcxLSninOeJiIiIOyVXIj3A/ORYXrx9fPP6mUYxPWz9jNlsws9s6fAeYF2hKdGrrXdQa7e3PdLW4KDObncldsa5507w2pquWet23O4+yldvnO9okVHbHU6qHXaq6y+96mle+bkTMBEREWlNyZVIDzE/OZZrRsYYld+e+DlRyx5T5bcu5J7o+Xg0loY2RvPON11zf3YpqeuOXfC+JVV1lyF6ERGRnkPJlUgPYjGbjGlcZcdA07l6DavFjNViJsDWvvPnJ8fwbtrpc67Ta/LE+/v5764zfGtWotZfiYiItIPZ0wGAsXnvoEGD8PPzY8qUKWzbtq1d17311luYTCZuvPHGc55z//33YzKZeP755zsnWBGRbq5pnR40r8tr0vR6RlIENouZtKwS7v9bGnN+8ylvbDlBdZ02WRcRETkXjydXb7/9NkuXLuWJJ54gLS2NMWPGMG/ePPLy8s57XWZmJg899BAzZ8485zn/+c9/2LJlC3FxcZ0dtohIt9a0Ti8m1M+tPSbUj5duH8/f75vKxkeu5sGrBxPq70NmYRU/fW8vM375Cc99fJjCCg+XaBQREfFCHk+unn32We677z7uueceRo4cyUsvvURAQACvvfbaOa+x2+3cdtttLFu2jMTExDbPOX36NN/97nf5+9//jo+PZ9dDiIh4o/nJsWz88WzevG8qL5xaw5v3TWXjj2e7CqBEBfvx0LxhbH50NsuuH0V8uD9FlXW8sPYI05/5hP/9TzoZ+RUe/hQiIiLew6PJVV1dHTt27GDu3LmuNrPZzNy5c9m8efM5r3vyySeJiori3nvvbfO4w+Hgjjvu4Ec/+hGjRo26YBy1tbWUlZW5PUREeoOmdXo3lB1jWlJEm+uqAmxW7po+iHU/vIrUr49nTP9Qahsc/GNrFnOeXc+3/rqd7ZlFHoheRETEu3i0oEVBQQF2u53o6Gi39ujoaA4ePNjmNRs3buTVV19l165d57zvL3/5S6xWK9/73vfaFcfTTz/NsmXLWh+45RbwhlGvbdvg+us9HYV0J+oz0lHt6DNWYCFwHbAtIJZXIkazJngQH+3P5aP9uYyvyuFbhXu4pjwTy3lLZUiPoO8Z6Sj1Gekob+kz9fXtPrVbVQssLy/njjvu4JVXXiEyMrLNc3bs2MELL7xAWloaJlP7Kls9+uijLF261PW6rKyM+Ph4ePttCAnplNgvyfXXw/vvezoK6U7UZ6SjOtBnTMCUxsfRvAr+tCGDd9NOkxYQw/0BMQyKCODemYncNL4//jbP70kmXUTfM9JR6jPSUd7SZ8rKIDS0Xad6NLmKjIzEYrGQm5vr1p6bm0tMTEyr848dO0ZmZiaLFy92tTkcDgCsViuHDh1iw4YN5OXlMWDAANc5drudH/7whzz//PNkZma2uq+vry++vr6d9KlERHqPwVFBPPOV0Sy9dihvbD7BG1tOuIpfPPvRIe6YNog7pw0kMkjfsSIi0vN5dM2VzWZjwoQJrF271tXmcDhYu3Yt06ZNa3X+8OHDSU9PZ9euXa7H9ddfz9VXX82uXbuIj4/njjvuYM+ePW7nxMXF8aMf/YjVq1dfzo8nItJrRAX78cNrh7HpkebiF8VV9fx27RFmqPiFiIj0Eh6fFrh06VLuuusuJk6cyOTJk3n++eeprKzknnvuAeDOO++kX79+PP300/j5+ZGcnOx2fVhYGICrPSIigogI981TfXx8iImJYdiwYV3/gUREerGm4he3Tx3I6n05vPxZBrtPlvCPrVm8uS2La0ZE861ZiUwY2KfdU7dFRES6C48nV7fccgv5+fk8/vjj5OTkMHbsWFatWuUqcpGVlYXZ7PGK8SIi0gEWs4nrUmJZkBzDF5nF/PGzDNYcyHUVvxg3IIxvzUzk2lExbVYoFBER6Y48nlwBPPjggzz44INtHvv000/Pe+3rr79+wfu3tc5KRES6nslkYnJCOJMTwjmaV8GrGzP4d9ppdmaV8MDf0xgYEcA3r0jgpgnxKn4hIiLdnoaERETkshgcFcTTXx7N5z+ezXdnDyYswIcThVX89L/7mP7MWp79+DAFFbWeDlNEROSiKbkSEZHLqm+wr6v4xZM3jGJAeICr+MX0Zz7h0XdV/EJERLonJVciIuIRATYrd04bxLqHruIPt41nTHwYdQ0O3tyWxZxn13PfX7fzRWYRTqc2JBYRke7BK9ZciYhI73Wu4hcf7zceKn4hIiLdhZIrERHxCip+ISIi3Z2mBbaQmprKyJEjmTRpkqdDERHp1S5Y/OKjQyp+ISIiXkfJVQtLlixh//79fPHFF54ORUREOE/xi0+OuopfHFPxCxER8RJKrkRExOudr/jFXBW/EBERL6E1VyIi0m1cqPjF2Pgwvj1LxS9ERMQzlFyJiEi307r4xXH+nXaKXSeN4hcDwgP45swEvqriFyIichlpWqCIiHRrRvGLFD7/8Wy+11j8IquoisdbFL/IL1fxCxER6XpKrkREpEfoG+zL0nMUv5jxSxW/EBGRrqfkSkREepSWxS9evG08Y1sUv5jzm/V88y8qfiEiIl1Da65ERKRHsphNLEiJZX5yDNtPFPPyeqP4RdNjbHwY35qVyDwVvxARkU6i5EpERHo0k8nEpEHhTBoUzrH8Cv60obn4xXdaFL+4aUJ/Amz6a1FERC6epgWKiEivkdTXKH6x6ZG2il98ouIXIiJySZRciYhIrxMZ1Lr4RYlb8Ys9HM1T8QsREekYJVctpKamMnLkSCZNmuTpUERE5DI4d/GLk8x91ih+se24il+IiEj7aHJ5C0uWLGHJkiWUlZURGhrq6XBEROQyObv4xR8/U/ELERHpOCVXIiIijdpT/OLeKxL46kQVvxARkdY0LVBERKQNbsUv5gyhT2PxiyfeN4pf/EbFL0RE5CxKrkRERM4jMsiXpdcMZdMjc/i/G0YxMMIofvE7Fb8QEZGzKLkSERFpB3+bhTumDeKTH56r+MUXKn4hItLLKbnycpvPbOaGa06x+cxmT4ciIiI0F7/4z3em86/7p3HNyGhMJlhzII+bX97MjX/YxAd7srE7lGSJiPQ2Wo3rxZxOJy+kvUBGSD0vpL3A1NipmEyqUiUi4g3OLn7x6sbjvLPjFLtPlrDkH2nEh/vzzSsSVfxCRKQX0ciVF9t0ZhP7CvcBsK9wH79N+y1bs7dyqOgQ+VX51DvqPRyhiIiAUfziqS+5F784WVSt4hciIr2M/inNSzmdTn6383dubX/a+yf+tPdPbm3BtmDC/cIJ8w2jj18fwv3C6ePbx/U8zDfMaPMz2vyt/pfzY4iI9CpNxS8euDKJd3ac5E8bj3OisIrffXKUlz/L4Cvj+3HvFYkMjgrydKgiItIFlFx5qZajVi3FBMRQa6+lpLYEJ07K68opryvnBCfadV9/q78rEevj14dw3+bEq2VS1tQW7BOsqYgiIh3UVPzi61MG8vH+HF7+LIOdWSW8ue2kUQBjRBT3zUxkckK4vmNFRHoQJVdeqGnUymwy43A6XO1mk5kI/wjeXPgmDqeDsroyimuKKaopori2mOKaxkdtY1uL18U1xdQ76qluqKa6oZrsyux2xWI1WQnzC3NLxM4eDWsaLQvzCyPMNwyrWd1KRASM4hfzk2OZNyqGHSeK+eNnGXx8IJc1B/JYcyCPMfFhfGtmIvNGRWO1aKa+iEh3p1/BLaSmppKamordbvdoHOcatXI4Hewr3MemM5uY0W+GK7lJJPGC93Q6nVTWVxrJWG0RJTUlbklZUU0RJbUlzclaTTFVDVU0OBsoqC6goLqgXbGbMBHiG0If3z6tpyu2GC0L82tO0Hwtvh3+MxIR6U5MJhMTB4UzUcUvRER6NJNTG3K0UlZWRmhoKKWlpYSEhFzW93Y6nXztg6+xv3A/Tlr/T2PCxMiIkby58M0un0pSa69tHv1qTMrOHg1rOXJWWlt6Ue8TYA1wm5boloy1bGscOQv0CdQ0mgu5/np4/31PRyHdifrMZVdQUctfN5/gjc2ZFFcZBYpC/X24Y+pA7po+iL7BXv4PT+oz0lHqM9JRXtJnOpIb6J/HvEy9o56cypw2EysAJ05yKnOod9Rjs9i6NBZfiy8xgTHEBMa06/wGRwOltaWtpya2nLLYYuSsuKaYBmcDVQ1VVFVUcbridLvex8fs45Z0nV3Ioykpa0rQQmwhWMyWS/mjEBHpdG7FL9JO8acNGZworOL3647yxw0ZfHlcP745M4HBUcGeDlVERNpJyZWXsVlsvLXoLYpqipobf/ADeO4518twv/AuT6wuhtVsJcI/ggj/iHad73Q6Ka8vd0u8zrVerOl5dUM19Y568qrzyKvOa9f7mE1mQm2hbonYhaor+lh8LuWPQkSk3fxtFu6YOpCvTx7gVvzirS9O8tYXKn4hItKdKLnyQq1Gi0p8IWKk5wLqIiaTiRBbCCG2EAaGDGzXNdUN1W1PS6wppqS2xG20rKimiPK6chxOh3F+bTG0c+ZikE9QqyqK56uu6G/1148eEbkkTcUv5ifHsj2zqHXxi/6hfGtWkopfiIh4MSVX0q34W/3xD/InLiiuXefXO+oprS11Gw1rKt7R1rTFktoS7E47FfUVVNRXcLL8ZLvex9fi2yoRazk18ez1ZMG2YMymrvlxtPnMZp655hSPnNnMtLhpXfIe0rOoz3ifpuIXGfkV/Gnjcf694xS7T5W6il/cOyOBmyfFq/iFiIiX0bey9Gg+Zh8i/SOJ9I9s1/kOp4PyuvI2E6+2St4X1xRTa6+l1l5LTmUOOZU57Xofi8lCqG9oq+SrrY2fw/3CCfUNxcd84amKTqeTF9JeICOknhfSXmBq7FSNqMl5qc94t8S+QTz1pRSWXjOUNzaf4K+bMzlZVM3Plu/nuTVHuGPqQO6cPpCoYD9PhyoiIii5EnFjNpkJ9Q0l1DeUhNCEC57vdDqpbqhuPRp2VuGOlpUWK+orsDvtFNUUua+tu4BgW3CbhTtaVlfMKstylfHfV7iPNVlrmBo7FTAqTZ7t7B/RbZ1zMddc6Jw238d09ss27nv2fS4iFnHXcuuHlls9iHeJDPLlB9cM5f62il98lsGXx6v4hYiIN1ByJXIJTCYTAT4BBPgE0D+4f7uuqbPXtdpT7FybQJfUllBSW+IaUSuvK+cEJ9od39JPl17sR+tVLippa50NXvi+F3if9p5zMde0FYvT6aSqocqt/cnNT/LHa/7IgJABSky90IWKX8wZHsV9sxKZouIXIiIeoeRK5DKzWWxEBUQRFRDVrvPtDjtldWXnnJrYlIidKj/FqYpTXRx9z3T21gcXtf1fD9kx8EzlGRa9t4i+/n2ZED3B9UgKS+qydYLScS2LX+w4UcTL643iF2sP5rH2oFH84r5ZicwfFaPiFyIil5GSKxEvZzFbXNMAE0ls85ymzafPVJ7B4XS42s0mM8PDh/PX+X91+1fstvZROzuhaM85rY5f7H0vIrnpjPueaz+5C8Vy2e7bjj+XVu/Vxlu3dV+n08nST5dyrPSYW59pkl+dz6rMVazKXAVAqG8o46LGMTF6IhOiJzA8fDhWs/4K8QYTBobzxzuN4hevbjzOO43FLx78x05X8YuvTown0Ff/e4mIdDV904r0AC3XzbTkcDrYX7if7bnbtY5G3Hx++nOOlBw55/GlE5ZSa69lR+4OdufvprS2lE9PfsqnJz8FIMAawNiosa6RreTIZHwtvpcldmlbYt8gfvGlFH5wjuIXt08dwF3TB6n4hYhIF1Jy1UJqaiqpqanY7XZPhyLSbk6nk9/t/J2xhqaNYQsTJn6383dMj5uuNRgCtK/PrM5czZsL38RkMlHvqOdg4UF25O4wHnk7KK8rZ9OZTWw6swkwKnOmRKYwIXoCE6MnMiZqDIE+gZf7owmti1+8uiGDzMIqUtcd45XPjvOlcf24b5aKX4iIdAUlVy0sWbKEJUuWUFZWRmhoqKfDEWmXekc9OZU555yK5sRJTmUO9Y56bBbbZY5OvFFH+4yP2YeUvimk9E3h7uS7cTgdHCk+wo7cHaTlpbEjdwcF1QWk5aWRlpfGK+mvYDFZGBE+gvHR45kQPYHxUeMJ8wu7vB+0l3MvfpHLHz87RlpWCW9vP8nb21X8QkSkK5icF7Vyu2drSq5KS0sJCQnxdDhw/fXw/vuejkK8WE5ljntZ9x/8AJ57zvUy3C+cmMAYD0Qm3qoz+4zT6SSrPKt5ZCt3B6crTrc6b3DYYLciGe0t6iKdZ8eJIv74WQYf7c+l6W//iy5+ob+bpKPUZ6SjvKTPdCQ30MiVSA8QExjj/kO4xBciRnouIPF6ndlnTCYTA0MGMjBkIF8e8mXASN5aJlsZpRkcLTnK0ZKjvH3obQDig+Pdkq3+Qf01gtLFJgwM5+U72i5+0b+PP/dekcDNKn4hInLR9O0pIiKdLiYwhoWJC1mYuBCAwupCdubtdCVbh4oPcbL8JCfLT/Le0fcAiPKPcku2EsMSVf69izQVv1h6zVD+uvkEb2w5waniapYt38/zFyh+YXc42Xa8iLyQJKKOFTI5IRyLWUmxiAgouRIRkcsgwj+CuQPnMnfgXADK68rZlbfLlWztLdxLXnUeKzNXsjJzJQBhvmGMjxrvSraGhQ9T+fdOFtGi+MW/007xpzaKX3xzZgJDoo3iF6v2ZrNs+X6yS2ug/1x4ZQuxoX48sXgk85NjPfxpREQ8T39LiYjIZRdsC2Zm/5nM7D8TgOqGavYW7GV77naj/HvebkpqS/jk5Cd8cvITwCj/Pi5qnFv5dxVp6Rz+Ngu3Tx3I185R/GL28CjGxofx3MeHW5VBySmt4YG/pfHi7eOVYIlIr6fkSkREPM7f6s+kmElMipkEQL29nv1F+0nLNaoRpuWmUV5fzudnPufzM58DYDPbSOmb4kq2xvYdS4BPgCc/RrdnMZuYnxzD/OQYt+IXnxzM45ODeW1e4wRMwLLl+7lmZIymCIpIr6bkSkREvI6PxYcxfccwpu8Y7km+B7vDztGSo66RrbTcNAprCl3TCgEsJgsjI0a6Sr+Pjx5PqK+21bhYTcUvjhdU8osP9rPmQNvJFRgJVnZpDduOFzEtKeLyBSki4mW8YqVwamoqgwYNws/PjylTprBt27Z2XffWW29hMpm48cYb3dp/9rOfMXz4cAIDA+nTpw9z585l69atXRC5iIhcDhazhWHhw7htxG08e9WzrLt5HctvXM7Ppv2MxYmLiQuMw+60k16Qzuv7Xud7677HFW9dwZff/zK/2PILVmWuIr8q39Mfo1tKiAxk8Zi4dp2bV17TxdGIiHg3j49cvf322yxdupSXXnqJKVOm8PzzzzNv3jwOHTpEVNS590DJzMzkoYceYubMma2ODR06lN///vckJiZSXV3Nc889x7XXXsvRo0fp27dvV34cERG5DEwmE4NCBzEodBBfGfoVALIrstmR11z+/XjpcY4UH+FI8RHeOvQWAAOCB7hVJOwX1E/l39uhraqBbXn2o8NkFVaxICWWwVFBXRyViIj38fgmwlOmTGHSpEn8/ve/B8DhcBAfH893v/tdHnnkkTavsdvtzJo1i2984xts2LCBkpIS3nvvvXO+R9PGX2vWrGHOnDmtjtfW1lJbW+t2fnx8vDYRlu5LfUY6qgf2mcLqQtLymtdsHSw6iPOscgzRAdHu5d9DE5VstcHucHLFLz8hp7SmVUGLcxkaHcSC5FiuS4llaHSQ/lylR37PSBfzkj7TkU2EPZpc1dXVERAQwDvvvOM2te+uu+6ipKSE//73v21e98QTT7Bnzx7+85//cPfdd583uaqrq+O3v/0tP//5zzl69CiRkZGtzvnZz37GsmXLWrWXzp9PiI/PRX22TrVtG0ye7OkopDtRn5GO6gV9pszHzq6IWnZE1rAjsoZ9fWppOGtyfJ9aM+ML/JjQ+BhWYsOCkgKAVcEJPND/GgCcLRIlU+PPiF+d+RSnycSHwYl8HtSPepPFdU5ibQkLyjJYUJ7BqJpC/Yn2Vr3ge0Y6mZf0mbL6ekJXrfL+5OrMmTP069ePTZs2MW3aNFf7ww8/zPr169tcJ7Vx40ZuvfVWdu3aRWRk5DmTqxUrVnDrrbdSVVVFbGws7733HpMmTWozDq8buVr3NJgtcOXDxuuWWfv6X4HDDlc/evnjku7DS/6lR7qRXthnqhuq2ZO/x1WRcHf+bmrs7muGAn0CGRs1lonRE5kQPYFREaN6dfl3t32uGrW1z1VpVT1rDuSycm82nx0uoM7ucB0bEB7AgpQYFiTHMqZ/qEa0epNe+D0jl8hL+kxHRq48vuaqI8rLy7njjjt45ZVX2hyBaunqq69m165dFBQU8Morr3DzzTezdevWNtdx+fr64uvr21Vhd5zZAut+YTxvSrDASKzW/QKu/oln4hIR6UH8rf5MiZ3ClNgpgFH+fV/hPmMaYV4aO3N3GuXfT3/O56eN8u++Fl9G9x3t2tx4TN8xvar8+/zkWK4ZGcO240XkPfFzopY9xuSE8Fbl10MDfPjKhP58ZUJ/ymvq+eRgHivTc1h3KI+soipeXp/By+sz6Bfmz/zkGK5LiWFcfB/MKuMuIt2cR5OryMhILBYLubm5bu25ubnExMS0Ov/YsWNkZmayePFiV5vDYfxrmNVq5dChQyQlJQEQGBjI4MGDGTx4MFOnTmXIkCG8+uqrPPpoNxjxaUqomhIscE+sWiZcIiLSKXwsPoyNGsvYqLHcy73YHXaOlBxxFcjYkbuDopoivsj5gi9yvgDAarK6yr9PiJ7A2KixPb78u8VsMsqtlx2DdpRdD/bz4Yax/bhhbD8qaxv49FA+H+7NZt3BPE6XVPPqxuO8uvE40SG+zB8Vw4KUWCYNap2wiYh0Bx5Nrmw2GxMmTGDt2rWuNVcOh4O1a9fy4IMPtjp/+PDhpKenu7U99thjlJeX88ILLxAfH3/O93I4HG5T/7xeywRrHLBuPQxdAFEjIWsrBPWFwCjwVTUmEZGuYDFbGB4+nOHhw7ltxG04nU4yyzJdidb23O3kVOawp2APewr28Od9f8aEiSF9hrgVyYj0P/9Mi94k0NfKwtGxLBwdS029nfWH81mZns2aA3nkltXyl80n+MvmE0QG2Zg3KobrUmKZkhCO1eIVO8eIiFyQx6cFLl26lLvuuouJEycyefJknn/+eSorK7nnnnsAuPPOO+nXrx9PP/00fn5+JCcnu10fFhYG4GqvrKzkF7/4Bddffz2xsbEUFBSQmprK6dOn+epXv3pZP9slu/JhWPcUmBqXxR1eaTxa8gmAwEgj0QqKgsC+xqPpecs2/z6gue0iIhfFZDKREJpAQmgCNw29CYAzFWfcRrYyyzI5XHyYw8WHefPgmwAMChlkbGwcbUwljAuM0zojwM/HwrxRMcwbFUNtg52NRwr4MD2Hj/fnUFBRx9+3ZvH3rVn0CfDh2pExLEiJYXpSJDarEi0R8V4eT65uueUW8vPzefzxx8nJyWHs2LGsWrWK6OhoALKysjCb2/9FarFYOHjwIH/5y18oKCggIiKCSZMmsWHDBkaNGtVVH6NrrP8V4AQnYAIihoBfKFTmQUU+NFRDfRWUZBmPCzH7NCZcjclWYFTzCJirvTFJC4gw1n6JiMg5xQXFERcUx+IkY7p6QXWBq0DGjtwdHC4+TGZZJpllmfz7yL8BiAmMcRvZSghJ6PXJlq/VwpwR0cwZEU1dQwqbMwpZmZ7N6n05FFfV8/b2k7y9/SQhflauGWms0bpiSCS+Vv09JSLexeP7XHmjjlQE6TIt11j9ZiP88Ar3NVdOJ9RVQEUeVBY0JlxnP883HhX5UFvawQBMRoJ1odGwpudWLyoIIl5TXUe6EfWZLlFWV8auvF1sz93Ojtwd7C/YT4Ozwe2ccL9wV4GMCdETGNpnKJbu8I9bl6HPNNgdbD1exIfp2azel0tBRfP0/iBfK3NGRLEgOZarhvXFz6cb/Jn1dvqekY7ykj7TY6sF9hpnF6/4zcbWRS6ufBh8g41HRNKF71lf05hsNSZgFXnNI2BN7RWN/60qApxQVWA82sMv9MKjYU3TF7VOTER6iRBbCLP6z2JW/1kAVNVXsadgj2tj4935uymqKWJN1hrWZK0BIMgniHFR41zJ1qiIUfhYvGDPRQ+wWszMGBzJjMGRPHlDMtszi1i5N4eVe7PJLavlv7vO8N9dZwiwWbh6eBTXNSZagb76eSMinqFvH2/ksLddFbDptcPe8Xv6+EFYvPG4EHsDVBVeYDSsxXNHA9SUGo/Co+2IJaAdo2GNyZjWiYlIDxLgE8DU2KlMjZ0KQJ29jv2F+10jWzvzdlJRX8GG0xvYcHoDAH4WP0b3He1Ktkb3HY2/1d+TH8MjLGYTUxIjmJIYweOLRrLzZDEr03NYuTeH0yXVfLAnmw/2ZONrNXPVsL5clxLL7OFRBPv1zsRURDxDyZU3Ot8GwZejDLvFCsHRxuNCHA6oKWmRcF1gZMy1TuyE8bgQt3Vi5xkN0zoxEemGbBabq/z7N1O+id1h53DxYbciGcW1xWzL2ca2nG1AY/n3SKP8+8ToiYyNGkuIzUNT2D3EbDYxYWA4EwaG85OFI9hzqpQP92azMj2HrKIqVu/LZfW+XGwWM7OGRhr7c42IJjRAiZaIdC0lV3JpzGYICDcefYed/9ymdWJN68Das07MUQ/lZ4zHBZ21Tqyt0TBXMQ+tExMR72MxWxgRMYIRESO4feTtOJ1OjpceZ0deY/n3nO3kVuWyJ38Pe/L38Oe9Rvn3YeHDjIqEUeMZHz2+V5V/N5lMjIkPY0x8GI/MH87+7DJWpufwYXo2GQWVrDmQx5oDeVjNJmYMjuS6lBiuGRlDeKDN06GLSA+k5KqF1NRUUlNTsdsvYtqdXJjJ1LxOLDzxwue71onlX3hkrKqQi1sndoHRsKZETOvERMQDTCYTiWGJJIYl8tWhX8XpdHKmsrn8e1puGpllmRwsOsjBooP8/cDfgeby702PuKA4D3+Sy8NkMjEqLpRRcaH88NqhHM6t4MP0bFbtzeFQbjnrD+ez/nA+//ufvUxNDGdBcizzRsXQN1j/2CYinUPVAtvgFdUCW/KSSilereU6sVYjY+dYJ9YRTevEzrU2rOXImF+Y59eJqc9IR6nPdFsF1QVu0wiPFB/Biftf7bGBsW7J1qCQQZde/r2b9ZmjeRWs2pvNh+k57M8uc7WbTDB5UDjXpcQyPzmG6BA/D0bZw3WzPiNewEv6jKoFSu/jzevEzjUa1pnrxNY9bdynrTV563/VWCTlPGv5RKTbivSPZN6gecwbNA+A0tpSduXtciVb+wr3kV2ZzYqMFazIWAEY5d9bJltDwoZ0j/Lvl2BwVBAPzh7Cg7OHcKKw0qg6mJ7N7lOlbD1exNbjRTzx/j4mDOzDguQYFqTE0i+s9xUOEZFLo+RKeh9vWidmMhsJ1oVGw5razrVOzGxxL9PfpGVZfxHpFUJ9Q7ky/kqujL8SMMq/787fbUwjzEtjT/4eimqK+PjEx3x84mMAgn2CGRfdXP59ZPjI85Z/33xmM89cc4pHzmxmWty0y/K5OtPAiEDuvzKJ+69M4mRRFav3GWu00rJK2HGimB0nivn5BwcYEx/GdckxLEiOZUBEgKfDFpFuQMmVyPl09Toxp6P53PZoWifW1mhY8k1GIlVdDCZH6/3SRKRXCvAJYFrcNFcSVGevY1/hPqNARu52duXtory+nM9OfcZnpz4DjPLvY/qOcSVbKX1TXOXfnU4nL6S9QEZIPS+kvcDU2KmXPsXQg+LDA/jmzES+OTOR7NJqVu/N4cO9OXyRWcTukyXsPlnC0ysPMiouhOtSYlmQHENiX63DFZG2ac1VG7TmSi6L864Ta2NkrCPrxJyACZj8bbjuV131CaQn0fdMr9XgaOBQ8SHSctNcUwlLakvczrGarSRHJDM+ejz+Vn9Sd6W6jr009yVm9JtxmaPuennlNazel8uqvdlsPlaIo8WvpeExwSxIjuW6lBiGRAd7LsjuRt8z0lFe0mc6khsouWqDkivxOk6nMSJ1dmGOtkbGSrLcr02aA1MfMP5rNnsmfvF++p6RRg6nwyj/3jiytSN3B3lVeW2ea8LEgOABvL3obQJtgZc50sunsKKWj/fn8uHeHDYdLaChRaaV1DewcUQrlhGxwd16FK/L6XtGOspL+oySq0uk5Eq6raapgA4TmM/6v3bEYGMka+zXVVpeWtP3jJyD0+nkdMVpduTu4MOMD9mUvanVOWaTmbF9xzIldgqTYyYzpu+Y867Z6s5Kqur4eH8uq/bmsOFIAXV2h+vYoIgAFjROHUzpF6pE62z6npGO8pI+o+TqEim5km6p5Rqr32yEH15hvO4/GfIPQm1j6WHfEBh3B0y+D8ITPBuzeA99z8gFOJ1OvvbB1zhQdACH03Hec/2t/oyPGs/k2MlMiZ3C8D7De2Q1wrKaej45kMeH6dl8ejifuobmP5d+Yf5cl2JUHRzbPwyzWYmWvmekw7ykz6gUu0hvc3bxit9sbC5ise4XMPMhCI6BrS9B4VHYkgpb/gDDroOp98OgmZ7fm0tEvNqmM5vYV7jvnMdvH3E7hdWFbM3ZSlFNEZ+f+ZzPz3wOQIgthEkxk5gcM5mpsVNJCE3oEaM6IX4+3DiuHzeO60dFbQPrDuaxam8OnxzM43RJNa9sOM4rG44TG+rHvFExXJcSy4SBfbAo0RLpsZRcifQEDnvbVQGbXjvsxkjVxHvh2FrY8qLx30MfGI+oUTDl2zD6ZvDRvi4i4s7pdPK7nb/DhKnVBsVgrL3ambeTNxe+CcDRkqNszd7K1pytbM/ZTlldGWuz1rI2ay0Aff37GqNaMVOYEjuFuKC4y/p5ukKQr5XFY+JYPCaO6jo76w/n8WF6DmsP5JJdWsPrmzJ5fVMmfYN9mT8qhgUpMUweFI7VorWwIj2JpgW2QdMCpdtrT5/JPwzbXoZd/zA2SQbwD4cJd8Okb0Jovy4PU7yIvmfkPOrsdVz7zrUU1hSe85wIvwg+uukjbBabW3uDo4EDhQfYmrOVrdlb2Zm3k1p7rds58cHxrlGtSTGTiPCP6JLP4Qk19XY2HClg5d5sPt6fS3lNc+XX8EAb80ZFsyA5lmlJEfj09ERL3zPSUV7SZ7Tm6hIpuZJuryN9proEdr4B2/7YXGnQZIGRNxhVBvtP0pTB3kDfM3IBOZU5FNUUNTf84Afw3HOul+F+4cQExlzwPrX2Wnbn7XYlW3sL9mJ32t3OGdJniGtUa2L0RIJsPaMIT12Dg8+PFbAyPZuP9udSUlXvOhbq78O1I6NZkBLDjMGR+Fp73ho1fc9Ih3lJn1FydZFSU1NJTU3Fbrdz+PBhJVfSfV1Mn3HY4dCHsPVlyNzQ3B43DqY8AKO+BFbbua+X7k3fM9JRndRnKusr2ZG7w5hGmL2VQ8WH3I5bTBZGRYwyKhHGTmZs37H4Wf0u+X09rd7uYGtGER/uzWb13hwKK+tcx4J9rcwdGc2C5BhmDe2Ln08PSbT0PSMd5SV9RsnVJdLIlXR7l9pnctKN4hd7/gVN03eCoo01WxPvgaCozolTvIe+Z6SjuqjPFNUU8UXOF2zN3sq2nG2cKDvhdtxmtjEuapyrEuGoiFFYzd17Cbnd4WTb8SJW7s1m1d4c8sqbp00G2izMHhHNdckxXDmsLwG2bvxZ9T0jHeUlfUbJ1SVSciXdXmf1mcoC2PFn+OJVKM822iw2SL7JKIARN/bS30O8g75npKMuU5/JrshmW84218hWXrX7hsaBPoFMjJ7I5Bgj2RrSZwhmU/ddu+RwOEnLKubD9BxW7s0mu7TGdczPx8zVw6JYkBLL7OFRBPl2s0RL3zPSUV7SZ1SKXUQ6R2AkzPoRzPg+7P+vMZp16gvY/Q/jMWAaTLkfhi8Ci75ORKTzxQbFcsPgG7hh8A04nU4yyzJdo1rbcrZRWlvK+lPrWX9qPWCs/ZoUM4kpsVOYEjOF+OD4blX23Ww2MXFQOBMHhfPYwhHsPlXCqr05fLg3m5NF1azcm8PKvTnYrGauHNqXBckxzBkRTah/z9y0WaS70a8hEbkwiw+k3GQ8Tu2ArS/Cvv9A1mbjERpvVBgcfycEhHs6WhHpoUwmEwmhCSSEJnDr8FtxOB0cKjrkKvu+I3cHRTVFrM5czerM1QDEBsa6RrWmxE4hKqD7TGs2m02MG9CHcQP68MiC4ew7U8aH6dms3JvD8YJKPt6fy8f7c/GxmLhicCQLUmK5dmQ0YQFaHyviKZoW2AZNC5Ru73L0mbJs2P4qbP8zVBUYbVZ/GHOLMZoVNaJr3186l75npKO8sM/U2+tJL0h3VSLcnb+bBkeD2zkJoQmuSoSTYiYR6hvqoWgvntPp5FBuuTF1MD2bI3kVrmNWs4lpSREsSI7l2lHRRAb5ejDSs3hhnxEv5yV9RmuuLpGSK+n2Lmefqa+Bvf82RrNy0pvbE68yqgwOuRbM3Xf9Q6+h7xnpqG7QZ6obqtmZu9OVbO0v3O+2CbIJE8PDhzM1diqTYyczPmo8AT4BHoz44hzJLXdNFzyQXeZqN5tgSkIE16XEMG9UDFEhHq6y2A36jHgZL+kzWnMlIpePjx+Muw3Gfh1ObDKSrIMfQManxqNPglH8Yuxt4OcF/1ghIr2Gv9Wf6f2mM73fdABKa0vZnrvdWLOVvY1jpcc4UHSAA0UH+PO+P2M1WxkdOdo1hXB05Gh8LN6/lmlIdDBDooP53pwhHC+oZOXebFam55B+upTNGYVszijk8ff3MXFgHxYkxzI/OYa4MH9Phy3SI2nkqg0auZJuz9N9pvgEfPEKpP0VakqNNluwkYRN/hZEJHkuNmmbp/uMdD89oM/kV+W7VSI8U3nG7bi/1Z/xUeNdZd+H9xmOxdx99pw6WVTlKoaxM6vE7di4AWEsSI5hQXIs8eGXabSuB/QZucy8pM9oWuAlUnIl3Z639Jm6Stj9lrExcUHTxqAmGDrPWJeVeBV0oypePZq39BnpPnpYn3E6nZyqOOUa1dqas5WimiK3c0JsIW6VCBNCE7pNJcIzJdWs2muUd99+opiWv/5S+oWyIMVItBIiA7suiB7WZ+Qy8JI+o2mBIuIdbIEw6V6Y+A049olRyv3IR3B4lfHoO9yYMjj6VrB1v3UOItJzmEwm4oPjiQ+O56ahN+F0OjlactQ1qrU9dztldWWszVrL2qy1APT172uMajUWyIgLivPwpzi3uDB/vnFFAt+4IoG8shpW78vhw/Qcth4vJP10KemnS/nVqkOMiA3huuQYFqTEMDgq2NNhi3Q7Sq5EpOuZTDB4jvEoPGaMZO36O+QfhBU/gDXLYMJdMOk+CIv3dLQiIphMJob0GcKQPkO4feTtNDga2F+4n20529iSvYVdebvIr87ng4wP+CDjAwDig+OZHDOZqbFTmRQziQj/CA9/irZFhfhxx7RB3DFtEAUVtXy0L5eVe7PZdKyQA9llHMgu4zcfH2ZIVBALUmK5LiWGYdHB3WaUTsSTNC2whdTUVFJTU7Hb7Rw+fFjTAqX76g59pqYUdv4dtr0MxZlGm8kCIxYZUwYHTNOUwcupO/QZ8S69vM/U2mvZnbebLdlb2Jazjb0Fe7E77W7nDOkzxDWqNTF6IkG2IA9F2z7FlXV8fCCXlenZbDxaQL29+SdiYmQg85NjuC4lllFxIReXaPXyPiMXwUv6jNZcXSKtuZJurzv1GYfdmCq45UU4vr65PWY0TH0Akr8CVi/ap6Wn6k59RryD+oybiroK0vLSjGQrexuHig+5HbeYLIyKGMWU2ClMjp3M2L5j8bN6uDT6eZRW17P2QC4fpufw2ZF86hocrmPx4f5clxzLgpRYxvQPbX+ipT4jHeUlfUZrrkSk+zBbYNgC45G731iXtedtyNkD7z0AHz9urNmaeC8ER3s6WhGRNgXZgpjVfxaz+s8CoKimiG0524ziGNlbySrPYk/BHvYU7OGV9FewmW2MixrnqkQ4KmIUVrP3/CwL9ffhy+P78+Xx/amobeCTg3msTM9m3aE8ThZV8/JnGbz8WQZxoX7MTzamDo4f0AezuXWiZXc42Xa8iLyQJKKOFTI5IRxLG+eJ9AQauWqDRq6k2+vufaaqCHa8Dl/8CcpOG21mH0j+slEAo98Ej4bXI3X3PiOXn/pMh2RXZLM1Z6sr2cqrznM7HugTyMToiUyOMZKtIX2GYDZ53wbsVXUNfHoonw/Ts/nkYB5Vdc1TIaOCfY3y7imxTBpkJFCr9mazbPl+sktrXOfFhvrxxOKRzE+O9cRHkO7ES75nNC3wEim5km6vp/QZez0cXAFbXoKTW5rb+0+GqffDiOuhG2zw2S30lD4jl4/6zEVzOp0cLzvuSrS25WyjrK7M7Zxwv3C3su/xwfFeV1Cipt7OZ4fzWbk3hzX7cymvbXAdiwyyMSI2hA1HClpd1/QpXrx9vBIsOT8v+Z7RtEAR6RksPjDqS8bjzE4jydr7bzi1Dd7ZBsFxMPmbMP5uCPTOqlwiImczmUwkhiaSGJrIrcNvxeF0cLDoINuyt7ElZwtpuWkU1RSxOnM1qzNXAxAbGOsa1ZoSO4WogCgPfwrw87Fw7agYrh0VQ22Dnc+PFrAyPYeP9udSUFHXZmIF4MRIsJYt3881I2M0RVB6FI1ctUEjV9Lt9eQ+U54L21+D7a9CZb7RZvWDlK8aBTCiR3k2vu6qJ/cZ6RrqM12m3l5PekG6scdWzlZ25++mwdHgdk5CaIKrEuGkmEmE+oZ6KNrW6u0OXtt4nKdXHrzguW/eN5VpSfrHMTkHL/me0ciViPRcwdFw9aMwcyns+49RZTB7F+x8w3gMmmkkWUPnG8UyRES6GR+LD+OjxzM+ejwP8ABV9VXsytvFlpwtbM3eyoHCAxwvPc7x0uO8degtTJgYHj6cqbFTmRI7hXFR4wjw8dzG7D4WMzGh7auE+PC/d3PT+HjmjIi6+BLvIl5EyZWIdE9WXxhzK4y+BU5uNZKsA8shc4PxCBsIk78F4+8AP+/5F10RkY4K8Alger/pTO83HYDS2lK252xna85WtmZvJaM0gwNFBzhQdIA/7/szVrOV0ZGjXVMIR0eOxucyr0+NCm5fcnWyqJrn1hzmuTWHiQnxY/aIKOaOiGJ6UiR+PvoHMul+lFyJSPdmMsGAqcaj9BRsewXS/gIlJ+Cjn8C6p2Ds140qg5FDPB2tiMglC/UNZc7AOcwZOAeA/Kp8t0qEZyrPkJaXRlpeGi/ufhF/qz/jo8a79tga3mc4li4e2Z+cEE5sqB85pTW0tf7EBESF+PL9uUNYdzCfDUcKyCmr4R9bs/jH1iz8fMxcMTiSOSOimTM8iqgQ790TTKQlrblqg9ZcSbfX2/tMXRWk/9MogJF/oLl98DUw5X5Img1m7ytx7FG9vc9Ix6nPeCWn08mpilPGeq3GSoRFNUVu54TYQtwqESaEJnTJdLxVe7N54G9pRlwt2tuqFlhTb2dzRiFrD+TyyYE8zrQo3Q4wun8os4dHMXdEtKYP9iZe8j2jUuyXSMmVdHvqMwanE46vN5Ksw6tw/fUeOdSYMjjma+Ab5NEQvYb6jHSU+ky34HQ6OVJyxDWqtT13OxX1FW7n9PXva2xmHDOFqbFTiQ3qvPLoF7PPldPp5EB2OWsP5LLmYB67T5a4HW+aPjhneBQzBmv6YI/mJd8zSq4uUmpqKqmpqdjtdg4fPqzkSrov9ZnWijIapwy+AXXlRptvqLEma/K3oM9Az8bnaeoz0lHqM91Sg6OB/YX7XZUId+XtotZe63ZOfHC8a1RrUswkIvwvrZqf3eFk2/Ei8p74OVHLHmNyQniHyq/nldfw6cF81hzIZcORAqrrmzcubjl9cPbwKKI1fbBn8ZLvGSVXl0gjV9Ltqc+cW2057PoHbH3JSLgATGYYdp0xZXDQFcY6rt5GfUY6Sn2mR6i117I7bzdbsrewLWcbewv2Ynfa3c4Z0meIq+z7xOiJBNkucsS/E/pM0/TBTw7ksfZAbqvpgyn9QpkzQtMHewwv+Z5RKXYRkXPxDTaKW0y6D45+bCRZxz6BgyuMR3SKcTzlq+CjfwEVkZ7N1+LL5NjJTI6dDEBFXQU7cne4KhEeLj7MkeIjHCk+wt8O/A2LycKoyFGuZGts1Fh8Lb6XLV4/HwtXD4vi6mFRPHnDKNf0wbUH89h9qoT006Wkny7l+TVHiA7xZfbwaOaO0PRBuXw0ctUGjVxJt6c+0zF5B2Hby7D7LaivMtoCImDCPTDpXgiJ82x8l4P6jHSU+kyvUFRTxLacba41W1nlWW7HbWYb46LGGWu2YqcwKmIUVnPrf7vffGYzz/x7CY98JZVpcdO6JNb88lrWHcxjzYFcNh4toKqu9fTB2cOjmTNC0we7DS/5ntG0wEuk5Eq6PfWZi1NdDGl/NdZmlZ402sxWGHkDTHkA4id5Nr6upD4jHaU+0ytlV2S7RrW2Zm8lvzrf7XigTyAToycaZd9jJjOkzxBMmPjaB19jX+E+RkWM4s2Fb3b5dL2aejtbMgpZe4Hpg3OGR5PcT9MHvZaXfM8oubpESq6k21OfuTT2Bjj0oTFl8MTnze39JhhJ1sgbwGrzXHxdQX1GOkp9ptdzOp0cLzvuGtXalrONsroyt3PC/cJJCE1gR+4OV9tLc19iRr8ZlzXOA9nlfHIwlzUHjOmDLX/9avqgF/OS7xklV5dIyZV0e+oznSd7N2x9GdL/BfY6oy0oxpguOOEeCOrr2fg6i/qMdJT6jJzF7rBzqPiQqxJhWm4a1Q3Vrc6LC4zjX4v/RYivZ35jNU0fXHvQqD549vTBGUmNmxdr+qDnecn3jJKrS6TkSro99ZnOV5EPO/4MX/wJKnKNNosvpNxkVBmMHe3Z+C6V+ox0lPqMXEC9vZ5/HPgHv97x61bHfMw+zB4wm8WJi5nebzo+Zh8PRNi+6YNNmxdr+qAHeMn3TEdyA/Nlium8UlNTGTRoEH5+fkyZMoVt27a167q33noLk8nEjTfe6Gqrr6/nxz/+MSkpKQQGBhIXF8edd97JmTNnuih6EekVgvrClQ/D9/fCl/9kTBG018Kuv8PLM+HP18H+940phSIigtVsZWXmSsym1j836x31rM5czYOfPMicf87hqa1PkZ6fzuX+N38/HwtXDYvi/25M5vNHZrPyf2by0LVDGRsfhskE6adLeWHtERb/fiNTn17Lo++ms2Z/LtV19gvfXHolj5dif/vtt1m6dCkvvfQSU6ZM4fnnn2fevHkcOnSIqKioc16XmZnJQw89xMyZM93aq6qqSEtL46c//SljxoyhuLiY//mf/+H6669n+/btXf1xRKSns9pg9FeNx8kvYOuLsP+/xtqsE59D6ACY/E0Yfyf49/F0tCIiHrPpzCb2Fe475/HZ8bPZlb+Lopoi3jz4Jm8efJNBIYNYlLiIRUmL6BfU7zJGCyaTiRGxIYyIDeHB2UOM6YOHjBGtDUcKyC2r5c1tWby5LUvTB+WcPD4tcMqUKUyaNInf//73ADgcDuLj4/nud7/LI4880uY1drudWbNm8Y1vfIMNGzZQUlLCe++9d873+OKLL5g8eTInTpxgwIABF4xJ0wKl21OfubzKzsAXrxrTBqsKjTafABhzqzFlsO8wz8bXHuoz0lHqM3IeTqeTr33wNfYX7sdJ65+aJkyMjBjJGwveYEv2FpZnLGdd1jpq7M3T8sZHjWdR0iKuHXgtob6hlzP8VpqmD35yMI+1B/I4XeK+liy5Xwhzhkdr+mBn85LvmW6ziXBdXR07duzg0UcfdbWZzWbmzp3L5s2bz3ndk08+SVRUFPfeey8bNmy44PuUlpZiMpkICwtr83htbS21tbWu12VlZW2eJyLSppA4mPNTmPUQpL9jVBnM3QvbXzMeSbONJGvwNWD2itnYIiJdqt5RT05lTpuJFYATp+v4zP4zmdl/JpX1law5sYblGcvZlr2NtLw00vLSeHrr01wVfxULExcyq98sfCyXf31W0/TBq4ZFsex6JwdzjM2Lm6oP7j1dxt7TZbywtmnzYqPM+4zBkfjbVH2wN/HoyNWZM2fo168fmzZtYtq05g3lHn74YdavX8/WrVtbXbNx40ZuvfVWdu3aRWRkJHffffd5R65qamqYMWMGw4cP5+9//3ub5/zsZz9j2bJlrdpL588nxMczCyzdbNsGkyd7OgrpTtRnPMwJQaUQdQpCC6HpHzBr/CG/HxRGg8Pjs7Ldqc9IR6nPyAXk+DdQ5NtibdLefZA8yvUyvNZCTHXb34U5/g18GF/B8gEVHA2td7WH1pqZfyqQRVlBjCnyxYTnR4jyLf6sCxrA2uCBbAjqT1WL4hy+jgauqDzNnPITzK44QUxDlQcj7Ya85HumrL6e0FWrvH/kqqPKy8u54447eOWVV4iMjLzg+fX19dx88804nU5efPHFc5736KOPsnTpUtfrsrIy4uPj4e23QdMCpTtSn/EexZnGpsRpbwClEH8UBufBuNth8n0QnujpCA3qM9JR6jNyATGND5frr4e/tq/PxADfaHwcKjrE8mPL+fD4h+STz9tJ5bydVE58cLyxPitxEQNCLrzso6v0BW5ufNTU29l6vIi1B3Jd0wfXBg9kbfBAoHn64JwRUSTHhWI2ez459Gre8j1TVgah7Zua6tHkKjIyEovFQm5urlt7bm4uMTExrc4/duwYmZmZLF682NXmcDgAsFqtHDp0iKSkJKA5sTpx4gSffPLJebNMX19ffH19O+MjiYi46zMI5v0CrnoUdr9p7JlVeAS2/AG2vAhD58PU+yHhStAcfRGRVoaFD2NY+DB+MOEHbM3eyoqMFazJWsPJ8pO8uPtFXtz9ImP6jmFx4mLmDZpHmF+Yx2L187Fw5dC+XDm0r2v64CcH81hzIJddJ92nD0YF+zJnhKYP9jQeTa5sNhsTJkxg7dq1rnLqDoeDtWvX8uCDD7Y6f/jw4aSnp7u1PfbYY5SXl/PCCy8Yo000J1ZHjhxh3bp1REREdPlnERE5L98gY6Rq4r1w7BNjXdbRj+HwSuMRNRKmfBtSbgZbgKejFRHxOhazhen9pjO933Qeq3+MtVlrWZGxgi3ZW9idv5vd+bt55otnmNlvJouTFnNl/yuxWWwei7dl9cElVw92VR/85EAenx3JJ6+8lje3neTNbSfxtZqZMTjSlWzFhKr6YHfl8WmBS5cu5a677mLixIlMnjyZ559/nsrKSu655x4A7rzzTvr168fTTz+Nn58fycnJbtc3Faloaq+vr+emm24iLS2NFStWYLfbycnJASA8PBybzXP/JxMRwWyGIXONR8ERYyRr1z8gbz8s/x9Y8zOYcDdM+iaE9vd0tCIiXinAJ4DFSYtZnLSY/Kp8Pjz+ISsyVnCw6CDrTq5j3cl1BNuCmTdoHosSFzEualyb+21dTn2Dfbl5Yjw3T4yntsHOlgz36YOfHMzjk4N5/IS9JPcLYfbwaOZq+mC34/Hk6pZbbiE/P5/HH3+cnJwcxo4dy6pVq4iOjgYgKysLcweqa50+fZr3G+dmjh071u3YunXruOqqqzordBGRSxM5BBb+GmY/Bjv/BttehpIs2PgcfP5bGLEYpj4A8VM0ZVBE5Bz6BvTlrlF3cdeouzhSfIQVGSv4IOMDcqtyeefwO7xz+B36BfVjYeJCFicuZlDoIE+HjK/Vffrgodxy1h5oPX3wt5o+2O14fJ8rb6R9rqTbU5/pnhx2OLzKWIuV2WKbidixRpI16ktg7aL1oeoz0lHqM9JRl7HP2B12tuduZ/mx5Xx84mOqWlTpS4lMYWHiQhYkLCDcL/yyxNMRBRW1rGvcT2vDkXwq65orLva66YNe8j3TkdxAyVUblFxJt6c+0/3l7DXWZaX/CxoaN9UMjIKJ3zAewdGd+37qM9JR6jPSUR7qM9UN1Xx68lOWH1vOpjObsDuNZMVqsjKj3wwWJS3iqv5X4Wf1vkSlafrgJ417ap29efGouBDmjOjB0we95HtGydUlUnIl3Z76TM9RWQg7/gxfvArlZ4w2sw8kf8WoMhg3rnPeR31GOkp9RjrKC/pMQXUBq46vYkXGCvYV7nO1B/kEcc3Aa1ictJgJ0RM8vj6rLU5n6+mDLX/FRwU3bl48Iporesr0QS/oM6Dk6pIpuZJuT32m57HXw4H3YctLcGpbc3v8VCPJGr4YLJewjFZ9RjpKfUY6ysv6TEZJBisyVrAiYwXZldmu9tjAWBYmLmRR4iKSwpI8GOH5tXf64OzhUcSG+nsw0kvgJX2mI7mBxwtaiIhIO1gaR6uSvwKndxhJ1r7/wMktxiOkn1FhcMLdEOB9awhERLxNYlgi3xv/PR4c9yA7cnfwQcYHfJT5EdmV2fwp/U/8Kf1PjAgfweKkxSxIWECkf6SnQ3YTGeTLVyfG89XG6oNbG6sPrjmr+iD0gumDXkQjV23QyJV0e+ozvUN5Dmx/zXhU5httVn8YfTNMuR+iR7b/Xuoz0lHqM9JR3aDP1Npr+fTkp6w4toKNpzfS4GwAwGKyMDVuKosTFzN7wGz8rd47EtRy+uDaA7ns7M7TB72kz2jk6iKlpqaSmpqK3W6/8MkiIp4WHANX/y9csRT2vWtUGczZA2l/MR4Js2DKAzB0Hpi9+C9PEREv4WvxZd6gecwbNI/immJWZa5ixbEV7CnYw+enP+fz058TYA1g7sC5LE5azKToSVi87PvVZDIxPCaE4THG5sVnTx/MK6/lrS9O8tYXxubF05MimDMimjkjuvH0QS+ikas2aORKuj31md7J6YSszUaSdXAFOB1Ge59BMPnbMO428Att+1r1Geko9RnpqG7cZzJLM13rs05XnHa1RwVEsTBhIYuSFjG0z1APRtg+bU0fbKlp+uCc4VGk9POC6YNe0mdU0OISKbmSbk99RkpOwhevwI6/QE2J0WYLgrG3wZRvw55/GqNZVz5sHGvZZ9b/ythz6+pHPRK6dBP6npGO6gF9xul0sit/F8uPLWd15mrK6spcx4b1GeZanxUVEOXBKNvH6XRyOLeCNQdy25w+2DfYlznDjYIYVwyJJMDmgQlvXtJnNC1QRKS3C4uHa56EK38Me96GrS9D/kHY9rLxCE+ComPGaNdVP26+bv2vYN0v4OqfeC52EREvZTKZGBc1jnFR43hk8iN8duozVmSsYP2p9RwqPsSh7Yd4dsezTImZwuKkxcwZMIcAnwBPh90mk8nEsJhghsUEu6YPfnoon7UHcvnscD75mj54UZRciYj0ZLZAY9PhCfdAxjojyTq82kisAD59Cs6kgdnunlg1jWiJiEibbBYbcwfOZe7AuZTWlrI6czUrMlawM28nm7M3szl7M/5Wf+YMmMOixEVMiZ2C1ey9P70jg3y5aUJ/bprQ3zV98JODxp5ap4qrWXcon3WH8nnsPRgZG8LcEUZRDK+YPuhFNC2wDZoWKN2e+oycT+Ex2PZH2Pl3qCs32pyACbjqf91HskTORd8z0lG9pM+cLD9prM86toKs8ixXe6R/JNclXMfipMUM6zMMk6l7JCQtpw9+cjCPtKziVtMHZw+LYs6ILpg+6CV9RmuuLpGSK+n21GekPWrKYNffYdUjzW1Jc2DRs0YRDJHz0feMdFQv6zNOp5M9BXtc67NKaktcxwaHDWZR4iIWJi4kJjDGc0FehMKKWta1mD7YcvNim9XMjM6cPuglfUZrrkRE5ML8QqD2rJGrY2vhD9OMEu9THgCL/poQEbkYJpOJMX3HMKbvGH486cdsPL2R5RnLWX9yPUdLjvJ82vO8kPYCk2MmsyhpEXMHzCXIFuTpsC8o4qzpg9uOF7H2gKYPNtHIVRs0ciXdnvqMtEfLNVa/2QgPjICtLzUfjxkN1/8O4sZ6LETxYvqekY5SnwGgrK6MjzM/ZnnGcnbk7nC1+1n8uDr+ahYlLWJ63HSvXp/Vlqbpg2sP5rL2wKVNH7Q7nGw7XkTeEz8natljTE4Ix+LBxEzTAi+Rkivp9tRn5ELOLl7R1Gc+/aVR5MLqCw21YDLD1O8YI1m2QE9HLd5E3zPSUeozrZyuOM0HGR+w/NhyMssyXe3hfuEsSFjA4sTFjIwY2W3WZ7V0oemDruqDw6OIC2uePrhqbzbLlu8nu7TG1RYb6scTi0cyPzn2sn6GJkquLpGSK+n21GfkQtY9ff59rmpKoewM7HvXaAsbAIueg8FzPROveB99z0hHqc+ck9PpZH/hfpZnLGfl8ZUU1RS5jiWEJrA4cTELExcSFxTnwSgvXlvTB1tqmj7ob7Pyq1UHOTs5aUotX7x9vEcSLCVXl0jJlXR76jPSUefqM4dXwwc/hNKTxuuUr8K8pyGo7+WNT7yPvmeko9Rn2qXeUc/mM5tZcWwFn5z8hFp7revYxOiJLEpcxDWDriHE5gW/US+C0+nkSF7T5sWtpw+eiwmICfVj449nX/YpgipocZFSU1NJTU3Fbrdf+GQRkd5g6DwYOMOYQrj1JUj/FxxdA9f+AsZ+HbrhVBUREW/mY/ZhVv9ZzOo/i4q6Cj4+8TErMlbwRc4XbM/dzvbc7Ty19Smuir+KxUmLmRE3Ax+Lj6fDbjeTycTQ6GCGRgfznasGU9i4efE/t2ex9XjxOa9zAtmlNWw7XsS0pIjLF3AHKblqYcmSJSxZssSVnYqICOAbBPOfhpSb4P3/gdx0+O93YM9bsOh5iEjydIQiIj1SkC2ILw35El8a8iVyKnP4IOMDVmSs4GjJUT468REfnfiIMN8w5g+az+KkxaREpnS79VkRQb58ZUJ/rBbTeZOrJnnlNRc8x5PMng5ARES6iX4T4FvrYO4ysPrB8c/gxemw4Tdgr/d0dCIiPVpMYAz3ptzLu9e/yz8X/ZM7Rt5BhF8EJbUlvHXoLW778Dauf+96Xtr9EifLT3o63A6LCvbr1PM8RcmViIi0n8UHrvg+fGczJF4FDTWw9kl4+Uo4td3T0YmI9Hgmk4kRESN4eNLDrPnqGl6a+xILExfib/UnsyyT1F2pXPfuddy58k7+eeiflNaWejrkdpmcEE5sqB/nGnczYVQNnJwQfjnD6jAlVyIi0nHhiXDHe/Cll8E/HPL2wZ/mwocPN29MLCIiXcpqtjKj3wyemfkMn978KU9d8RTTYqdhNpnZmbeT/9vyf1z9z6v5/rrvs/bEWursdZ4O+ZwsZhNPLB4J0CrBanr9xOKRHt3vqj2UXImIyMUxmWDMrfDgFzD6VsAJ216G1ClwaKWnoxMR6VUCfAJYnLSYP177Rz6+6WN+OOGHDO0zlHpHPWuz1vL9T7/P1f+8mv/b/H/sytuFNxYMn58cy4u3jycm1H3qX0yon8fKsHeUClqIiMilCYyEL78Mo2+GFT+AkhPw5q0w8kZY8EsIjvF0hCIivUpUQBR3J9/N3cl3c6joEB9kfMAHGR+QV53HPw//k38e/if9g/qzKGkRixIXMTBkoKdDdpmfHMs1I2PYdryIvCd+TtSyx5icEO71I1ZNNHIlIiKdY/Ac+M4WmP49MFlg/3vw+8mw43VwODwdnYhIrzQsfBhLJy7lo5s+4o/X/JHrk67H3+rPqYpTvLT7JRb9ZxG3fXgbbx18i+KaC1fruxwsZhPTkiK4oewY05Iiuk1iBZ2cXL377ruMHj26M28pIiLdiS0Arv0/o6pg7FioLYXl/wOvL4T8w56OTkSk17KYLUyLm8YvrvgFn978Kc/MfIYZ/WZgNpnZk7+HX2z9BbP/OZvvfvJdPsr8yG3zYmm/DidXL7/8MjfddBNf//rX2bp1KwCffPIJ48aN44477mDGjBmdHqSIiHQzsWPgm2th3lPgEwBZm+ClGfDpL6FBf2GLiHhSgE8ACxMX8tLcl1j71bU8POlhRoSPoMHZwKcnP+WH63/I1W9fzc82/YztOdtxODX7oL06lFw988wzfPe73yUzM5P333+f2bNn89RTT3Hbbbdxyy23cOrUKV588cWuilVERLoTixWmLTGmCg6+Bux18OlT8NJMyNri6ehERASI9I/kjpF38M/F/+S9G97j3uR7iQmMoby+nH8f+Tf3rL6HBf9ewG/Tfsvx0uOeDtfrdSi5+vOf/8wrr7zC9u3bWblyJdXV1WzatImjR4/yyCOP0KdPn66KU0REuqs+A+G2f8FXXoXAvlBwCF6bZxS/qOke+6+IiPQGSWFJfH/C91n9ldW8Nu81vjT4SwT5BHGm8gyvpL/C9e9dz60rbuXvB/5OYXWhp8P1Sh1KrrKyspg9ezYAM2fOxMfHh2XLlhEYGNglwV1uqampjBw5kkmTJnk6FBGRnsVkgpSbYMk2GHe70bb9NaPgxf73PRubiIi4MZvMTIqZxJMznmTdzev4f7P+H1f2vxKrycq+wn08s+0Z5vxrDkvWLmHl8ZXUNNR4OmSv0aFS7LW1tfj5Ndedt9lshId79y7JHbFkyRKWLFlCWVkZoaGhng5HRKTnCQiHG1Jh9C2w/PtQdAz+eQcMXwQLfgWh/TwdoYiItOBn9WN+wnzmJ8ynqKaIlcdXsuLYCvYW7uWzU5/x2anPCPQJ5JqB17A4cTETYyZiNvXeguQd3ufqpz/9KQEBAQDU1dXx85//vFUi8uyzz3ZOdCIi0jMlzIIHNsFn/w8+fx4OroCM9TD3CZh4L5h771/MIiLeKtwvnNtG3MZtI24jozTDtX/W6YrTvHf0Pd47+h7RAdEsTFzI4sTFDO4z2NMhX3YdSq5mzZrFoUOHXK+nT59ORkaG2zkmU/epQy8iIh7k4wdzfgrJX4Hl34NTX8CHD8Gef8LiFyB6pKcjFBGRc0gMTeS7477LkrFL2Jm3k+XHlvNR5kfkVuXy2t7XeG3va4wIH8GixEVcl3gdkf6Rng75suhQcvXpp592URgiItJrRY+Eb6w21mCtWQantsHLM2HG92HWj4wkTEREvJLZZGZC9AQmRE/g0SmP8tmpz1h+bDkbTm/gQNEBDhQd4Dc7fsO02GksSlrE7PjZBPgEeDrsLtPhaYEtFRQUABAZ2TsyURER6SJmC0y+D4ZdZ4xeHfoQNvwa9v3HGMVKmOnpCEVE5AJ8Lb5cM/Aarhl4DSU1JazOXM3yjOXszt/N52c+5/MznxNgDWDuwLksTFzIlJgpWMwWT4fdqTo8qb2kpIQlS5YQGRlJdHQ00dHRREZG8uCDD1JSUtIFIYqISK8R2g9u/Qfc/AYExRgFL/6yCP77IFQVeTo6ERFppzC/MG4Zfgt/u+5vfPClD3hgzAPEB8dT1VDF+8fe59sff5tr37mW32z/DYeKDrW6fvOZzdxwzSk2n9nsgegvXodGroqKipg2bRqnT5/mtttuY8SIEQDs37+f119/nbVr17Jp0ybtdyUiIhfPZIKR1xtFL9YuM6YL7nwDDq+CBb+EUV82zhERkW5hQMgAvjP2Ozww5gF25+9mRcYKVmWuIq86j9f3vc7r+15naJ+hxvqshOuICojihbQXyAip54W0F5gaO7Xb1HXoUHL15JNPYrPZOHbsGNHR0a2OXXvttTz55JM899xznRqkiIj0Qv5hsOg5SLkZlv+PsfnwO9+A3W/Bwt9A2ABPRygiIh1gMpkYGzWWsVFj+fGkH/PZ6c9YcWwF60+t53DxYZ7d8SzP7XiOYeHDOFh0EIB9hfvYdGYTM/rN8HD07dOhaYHvvfcev/71r1slVgAxMTH86le/4j//+U+nBSciIsLAaXD/Brjqf8FigyMfQepU2PwHcNg9HZ2IiFwEH4sPcwbM4bmrn2Pdzet4fNrjjI8ajxOnK7ECo2DG73b+DqfT6cFo269DyVV2djajRo065/Hk5GRycnIuOSgRERE3Vl+46sdw/0YYMA3qK2H1o/CnOZC9x9PRiYjIJQj1DeWrQ7/KXxb8hZ/P+LnbMYfT4Rq96g46lFxFRkaSmZl5zuPHjx8nPDz8UmMSERFpW99hcPeHsOh58A2FMzvhj1fBx49DXZWnoxMRkUvgdDp58+CbmE3uKUp3Gr3qUHI1b948fvKTn1BXV9fqWG1tLT/96U+ZP39+pwV3uaWmpjJy5EgmTZrk6VBERORczGaYeA88uA1G3gBOO3z+Arw4DY594unoRETkIm06s4l9hftwOB1u7d1p9KrDBS0mTpzIkCFDWLJkCcOHD8fpdHLgwAH+8Ic/UFtbyxtvvNFVsXa5JUuWsGTJEsrKyggNDfV0OCIicj7BMXDzX+Hgh8beWMWZ8MaXYPStMO8pCIzwdIQiItJOTqeT3+38HSZMOGk9QmXCxO92/o7pcdO9unJgh5Kr/v37s3nzZr7zne/w6KOPuobmTCYT11xzDb///e+Jj4/vkkBFRETaNPw6Y5Phtf8H2/4Ie94yil7MfxpG36Ky7SIi3UC9o56cypw2EysAJ05yKnOod9Rjs9guc3Tt16HkCiAhIYGVK1dSXFzMkSNHABg8eLDWWomIiOf4BsN1v4LRN8P734O8ffCfbxtl2xc9B+EJno5QRETOw2ax8daityiqabFh/A9+AC22eAr3C/fqxAouIrlq0qdPHyZPnuzW5nQ6yc/PJyoq6pIDExER6bD+E+Hb62HTb+HTX0LGOvjDNLjqEZj2IFgu+q89ERHpYjGBMcQExjQ3lPhCxEjPBXQROlTQIiAggPz8fNfrhQsXkp2d7Xqdl5dHbGxs50UnIiLSURYfmPlD+M5mSJgFDdWw5gl45So4nebp6EREpAfrUHJVU1PjVgLxs88+o7q62u2c7lAiUUREeoGIJLjzfbjhD+AXBjnpxr5Yq/4Xais8HZ2IiPRAHUqu2sObq3eIiEgvYzLBuNvgwe2Q8lVwOmBLqjFV8PBHno5ORER6mE5PrkRERLxOUF/4yp/gtncgdACUZsE/vgrvfAMq8jwdnYiI9BAdSq5MJpPbyNTZry9GamoqgwYNws/PjylTprBt27Z2XffWW29hMpm48cYb3drfffddrr32WiIiIjCZTOzateuS4hMRkR5kyDWwZItR3MJkhr3/ht9PgrQ3QNPaRUTkEnUouXI6nQwdOpTw8HDCw8OpqKhg3LhxrtfDhw/v0Ju//fbbLF26lCeeeIK0tDTGjBnDvHnzyMs7/78iZmZm8tBDDzFz5sxWxyorK7niiiv45S9/2aFYRESkl7AFwrxfwH2fQMxoqCmB9x+EvyyGgqOejk5ERLqxDtWk/fOf/9ypb/7ss89y3333cc899wDw0ksv8cEHH/Daa6/xyCOPtHmN3W7ntttuY9myZWzYsIGSkhK343fccQdgJGAiIiLnFDcO7lsHW/4A656CzA3w4nS48kcw/X/A6t17qYiIiPfpUHKVkJDA9OnTsVovfZ+Quro6duzYwaOPPupqM5vNzJ07l82bN5/zuieffJKoqCjuvfdeNmzYcMlxANTW1lJbW+t6XVZW1in3FRERL2exwozvwcjrYcUP4Ngn8MnPYe+7sPgFiJ984XuIiIg06lCWdPXVV5Odnd0pmwQXFBRgt9uJjo52a4+OjubgwYNtXrNx40ZeffXVTl9H9fTTT7Ns2bLWB265BXx8OvW9Lsq2bXD99Z6OQroT9RnpKPUZwAl9hkP/Y5C3H/50DeTHwZkEcGjz4VbUZ6Sj1Geko7ylz9TXt/vUDv1t4ck9rMrLy7njjjt45ZVXiIyM7NR7P/rooyxdutT1uqysjPj4eHj7bQgJ6dT3uijXXw/vv+/pKKQ7UZ+RjlKfaVZVBKt/Arv/AVFnIAlY+GsYvtDTkXkX9RnpKPUZ6Shv6TNlZRAa2q5TO/xPcZ21j1VkZCQWi4Xc3Fy39tzcXGJiYlqdf+zYMTIzM1m8eLGrzeFwAGC1Wjl06BBJSUkXFYuvry++vr4Xda2IiPQwAeHwpRdhzC2w/PtQfBze+jqMWAwL/h+ExHo6QhER8VIdTq7uvvvuCyYi77777gXvY7PZmDBhAmvXrnWVU3c4HKxdu5YHH3yw1fnDhw8nPT3dre2xxx6jvLycF154wRhpEhER6SyJV8F3NsP6X8Lnv4UDyyFjPcz9GUy4B8zaKlJERNx1OLkKDg7G39+/U9586dKl3HXXXUycOJHJkyfz/PPPU1lZ6aoeeOedd9KvXz+efvpp/Pz8SE5Odrs+LCwMwK29qKiIrKwszpw5A8ChQ4cAiImJaXNETERE5Jx8/I1kKvkr8P734EwafLAU9vzTKHgR1bEtSEREpGfrcHL129/+tlMKWgDccsst5Ofn8/jjj5OTk8PYsWNZtWqVq8hFVlYW5g7+y+D777/vSs4Abr31VgCeeOIJfvazn3VK3CIi0svEpMA318C2V2Dtk3ByC7x0BcxcCjN/CFZNLRcRkQ4mV5213qqlBx98sM1pgACffvrpea99/fXXW7Xdfffd3H333ZcemIiISEtmC0y93yhs8cEP4chqY8rg3nfh+t/CwOmejlBERDysQ8NCnqwWKCIi4hXC4uHrb8NNf4bAKCg8An9eAMv/B6pLPB2diIh4UIeSq3Xr1hEeHt5VsYiIiHQPJhMkfxke3Abj7zLadrwOqZNh339A/xgpItIrdSi5+uUvf0llZaXr9TPPPENJSYnrdWFhISNHjuy04ERERLyafx9jSuDdH0DEYKjIhX/dDW9+DUpPeTo6ERG5zDqUXK1evZra2lrX66eeeoqioiLX64aGBld1PhERkV5j0BVw/+cw62Ew+8DhlZA6Bba+DA67p6MTEZHL5JLWXGkNloiISCMfP5j9E7h/A8RPgboKWPkwvHoN5Oz1dHQiInIZaAfEFlJTUxk5ciSTJk3ydCgiItJdRY2Ae1bBwt+Abwic3gF/vBLWLIP6ak9HJyIiXahDyZXJZGpVjr0ryrN7ypIlS9i/fz9ffPGFp0MREZHuzGyGSd+EJVth+CJwNMDGZ+HF6ZCx3tPRiYhIF+nQPldOp5O7774bX19js8Samhruv/9+AgMDAdzWY4mIiPR6IXFw69/hwHL48EdQlAF/vR7G3gbX/hwCVIFXRKQn6VBydeedd7qNVN1+++1tniMiIiItjFgMCbNg7ZPwxauw6+9weDXMfwZSbjJKu4uISLfXoeTq9ddf76IwRORS1J85Q0NxcXNDTQ3s2+d6ae3TB5+4OA9EJiIufqHGOqyUm40Nh/MPwLvfhD1vwcJnoc9AT0coIiKXqEPJ1Te+8Y0LnmMymXj11VcvOiDRD2XpmPozZzg2fwHOujr3A1+5yfXUZLORtGql+o2INxgwBb79GXz+Anz2Kzi6Bv4wFa7+X5jyAFg69FeziIh4kQ6PXA0cOJBx48apDHsX0Q9l6aiG4uLW/eUszro6GoqL1WfERf+I42FWG1z5Ixh1ozGKdeJz+OgxSP8XLP4txI31dIQiInIROpRcPfDAA7z55pscP36ce+65h9tvv53wcC3G7Uz6oez9nE4nND0cjubXDkfja8BpPMfpNI67jrU41+nE6XAa5zbdy+EEmp473N/H0fS+7veqPZbRrrjrTpzA7OuLyWoFqxWTxXLO55jNPaoSqLjTP+J4kcghcNcK2PkGfPxTyN4Nr8yGad+Bqx4FW6CnIxQRkQ7oUHKVmprKs88+y7vvvstrr73Go48+ysKFC7n33nu59tpr9WPsMqpY9ym1Bw+Bs/FHdosf6U6H46zXjT/maXnMOG78gKfxx3rTj/zWx9zep417OZ2O5mMtX7vep2Uy0uK+Z78++31aJidn37cpwXAlIRd4H5rve/ax1u/T4r6t3qd7jtqeWfrDjl3g42MkXWcnXlYLJmvjMasFrM3nYbViauM8rBZMFmvjfZqfm6wWsDQmdz5WsDQea/nc2njfxucmq9W4xmoxzrH6GO1nv3/jfVo/tzS+t7X5GnPv2vJP/4jjZcxmmHAXDJ0Pqx6Bfe/Cpt/B/v/Coudg8FxPRygiIu3U4Yndvr6+fO1rX+NrX/saJ06c4PXXX+c73/kODQ0N7Nu3j6CgoK6IU85S8PvfezoEuRhmc/OokMnU/LrFMZr2k2t8jtmEyWR2ne9+rQlnbR0NOTkXfuvQUEyA0243Hg0NUF9/7gvq63HW19M9U8kOMpubE602R/QaEz2LBXysrufnTzqbE0JXEniepNOVaLo9b0ommxPClklny0TT7bmlMelt87nW83it4Gj46p9hzK2wYimUZMHfvmIUwJj3FAT19XSEIiJyAZf0t6y58Yee0+nEbrd3VkzSDn7jxmENCXH7kW386G76gY7xg7zpx7q58VjTj3Wz2f11yx/vZhNwnvuefW2L122+T5v3MjWef9a1rtfnep+W1zXfqzkZaXFtq0Tl7PdpfS+TuUXiYjIb1ZHbulfjSEfb79NGEtTGBtydpXrfPjJbTOc6lwGvvYr/qFGt2p0OBzQ04GxoaE66XM/tYG881tZzux1nfQNOewOc/bzBjrOhvsXzhsbr7Tgb70NDU6JX3/zc3gD1Dc3PG691f25vEWOL+7Y8r9VnMZ63qWkaZi9KJttF3+ueMXSesfnwul/A1pcg/Z9w9GMjwRrzNZVtFxHxYh1Ormpra13TAjdu3MiiRYv4/e9/z/z58zH3sqk1nhTz2E/a/KEs0lEmsxlsNkw2m6dD6XJN0zuddruRSDWN4tU3JoFNSVubiWZT0thw1nP7eZK7+rYTTXvjfVs9b7xXY3LZ8nm7E82z4m2Tw9GuP6/Mr9+G7+DB+A4Z0vgYjO+Qofj0i9M08K7mGwTznzb2wHr/e5C7F957AHa/CYueh4gkT0coIiJt6FBy9Z3vfIe33nqL+Ph4vvGNb/Dmm28SGRnZVbFddqmpqaSmpmoUTqSHMplMjdPqLNBbkklXAtngGm2s3refU/fdd+EbNDRQe/AgtQcPujWbAwKMZGvokBaJ1xCsPejvA6/RbwJ861PY/Hv49Bk4/hm8OB2u/DFM/y5YfDwdoYiItNCh5Oqll15iwIABJCYmsn79etavX9/mee+++26nBHe5LVmyhCVLllBWVkZoaKinwxFpF2ufPphstvMWKDDZbFj79LmMUYk3MJlMriIf+Pq62q3h7esL/V/8Azih9sgR43H4MLXHj+OoqqJ6926qd+92O98SHu6WbDWNdlmCgzv1c/U6Fh+44gcw8gZY/n04vh7WLoO9/zbKtvef4OkIRUSkUYeSqzvvvFNTQbqYfihLR/nExZG0aqX7nkU/+AE895zrpfYskothjYrCf9Qogmdf7Wpz1tdTd+JEc8J15Ai1h49Ql5WFvaiIqq1bqdq61f0+cbH4DhmCX4uky5aUhLlFwiftEJ4Id/4Xdr8Fq//XmCr4pzkw5dsw+zHwVRIrIuJpHd5EWLqWfijLxfCJi3PvE35+oDV5cg6X8o84Jh8fYx3W4MGwYIGr3VFdTe2xjLOSrsM05ObScCabhjPZVK7/rPlGZjO2gQPdR7mGDsE2YIAx0iZtM5lg7NdgyDVGgrXnbaPoxYEVsPA3MGy+pyMUEenV9DeYF9IPZRHpSl3xjzhmf3/8k0fhn+z+XWUvLaX26FHXCFdT0mUvLaXu+HHqjh+n/KOPXOebbDZsSUmNxTOMpMtv6FCssbGaOdFSYCR8+Y8w+hZY8QMoOQFv3gIjb4QFvzLKuouIyGWn5EpEpBe6XP+IYwkNJWDCBAImNK8LcjqdNOTnt5paWHv0KM7qamoPHKD2wAG3+5gDA1uNcvkOHYo1PLzTY+5WBs+B72w2il1sToX970HGOrjmSRh3Z/vL7ouISKdQciUiIpeVyWTCJyoKn6gogmbMcLU7HQ7qT59uTrYOHzaeHz+Oo7KS6l27qN61y+1eloiIs0rFG88tvWlDe1sgXPt/zWXbs3fB8v+BPf80yrb3HerpCEVEeg0lVyIi4hVMZjO2+Hhs8fEEz57tanfW1bmKaNS0mF5Yf/Ik9sJCqgoLqdqyxe1ePnFxrcrF2xITe3YRjdgx8M21xhqsdb+AE5/DSzNg1o9gxvfB2vO3HxAR8TQlVyIi4tVMNpsrQQpp0e6oqnIvotE40tWQl0f9mTPUnzlDRcstQyyWcxfRsFgu++fqEhYrTH8QRiyGD5bC0TVGorX337D4BRgw1dMRioj0aEquRESkWzIHBOCfkox/SrJbu72kxFVEo6ZpauHhIzjKyqjLyKAuI4Py1atd55t8fbElJbqVivcdOhRrTEz3LaLRZyDc9o6RVK38MeQfhNfmwcR7Ye4T4Ke9HEVEuoKSKxER6VEsYWEETJxIwMSJrjan00lDXn6rUa7ao0dx1tRQu/8AtfvPKqIRFHTWKNdQfIcO6T77DJpMxjqspNnw8U9h599g+6tw6EO47v8Zo1siItKplFyJiEiPZzKZ8ImOwic6iqArziqiceqUe8J15Ai1xzNxVFRQvXMn1Tt3ut3LEhnZqlS8LWkwlqDAy/2x2icgHG5INcq2L/8fKMqAt2+H4YuMJCtE+yaKiHQWJVctpKamkpqait1u93QoIiJyGZjMZmwDBmAbMIDgOXNc7c66OmozM93352oqolFQQFVBAVWbzyqi0a9fq1LxtoQEzDYvKSSRMAse2ASf/T/4/AU4uAIy1hvTBCfeq7LtIiKdQMlVC0uWLGHJkiWUlZURGqr56CIivZXJZsNv6FD8hg6Fhc3tjspKajMy3EvFHzlCQ34+9adPU3/6NBWfftp8gcWCbdCg5lLxQ4fiN2QIPvHxnimi4eMPcx6H5K8YZdtPb4cPHzLKtl//W4gacfljEhHpQZRciYiItJM5MBD/lBT8U1Lc2huKi6k7erS5gMaRo9QePoyjvJy6Y8eoO3aM8lXN55t8ffFNSnIb5fIdMgRrdPTlKaIRPQru/Qi+eBXWLoNT2+ClmXDF92HmQ+Dj1/UxiIj0QEquRERELpG1Tx+skyYRMGmSq80oopFnjHC1mFpYe+wYzpoaavbvp2b/frf7mIOD3acWNj7vkiIaZgtM+RYMvw4+/JFR6OKz/wf7/mOUbR90Ree/p4hID6fkSkREpAsYRTSi8YmOJmjmTFe7026n/tSpFqNcxqPueCaO8nKq09KoTktzu5elb2RzqfjGUS7fpCTMgZ1QRCO0P9z6DzjwvpFkFR6F1xfCuDvg2v8D/25SHVFExAsouRIREbmMTI2bGdsGDoRrrnG1O+rqqDt+3H2U68gR6k+dwp5fQGV+AZWbNrvdy6d/f/dS8UOG4JswCFNHi2iYTDDyBki4Etb8DHb8GXa+AYdXw4JnYNSXjXNEROS8lFyJiIh4AbPNht+wYfgNG+bW7qisdG2K3PSoOXIEe34B9adOUX/qFBXr1jVfYLViGzTQVSa+Kfny6d//wkU0/MNg8fMw+majbHvBYXjnG7D7bepNMTTY/WD8Xca5NTWwb5/xPO0vWAN88PnKLzrtz0NEpDtSciUiIuLFzIGB+I8Zg/+YMW7tDcXFrUa5ao8cMYpoHD1G3dFjlK9srqJh8vNrUURjqGtdlzUqqnURjYHT4f6NsPE5+OzX1O9aw7EPonA6TMDy5vO+clPz/a0WkqYtwSdO+2aJSO+l5EpERKQbsvbpg3XKZAKnTHa1OZ1OGnJympOtw2cV0di3j5qm0aZG5pAQtwIaTWu7LGFhcNUjMOpLNLxyP05HznnjcTbYaSguVnIlIr2akisREZEewmQy4RMbi09sLEGzZrnanXY7dVlZLUa4jGmGdZmZOMrKqN6xg+odO9zuZe3b1zXKZQ76MvCHy/xpRES6HyVXIiIiPZzJYsE3IQHfhAS49lpXu6O21iii0XKU68gR6k+fpiE/n4b8fCo3bfJg5CIi3YuSKxERkV7K7OuL3/Dh+A0f7tZur6gwNkVuTLaqd+6iJj39gvcr/e9/cVRW4jdyFJagTigTLyLSzSi5aiE1NZXU1FTsdrunQxEREfEYS1AQ/mPH4j92LADV+/aR2aJ4xbkU//UNiv/6BphM+A5Owi9lNP4pyfiljMZv6JCOl4gXEelmlFy1sGTJEpYsWUJZWRmhoaGeDkdERKRbCYiqoa7Kj4YKZ+O6rqOUvvsuACabDd8Rw/FPGY3/6BT8klOwDRqIyWz2cNQiIp1HyZWIiIh0iqgr/PC3naGh2ky131Sq/adSc+Qk1Xv34igtpWb3Hmp276G48XxzcLAxspWcYiRcKaPxiY7y6GcQEbkUSq5ERETkvKx9+mCy2XDW1Z3zHJPNhvXb78Lhv2Ld/HuCHZsIbkiDO5binP476rPzqN6TTs3edOO/+/fjKC+nctNmKjdtbn6vqCj8Rqfg35RwJSdjCQm5HB9TROSSKbkSERGR8/KJiyNp1UoaioubG3/wA3juOddLa58+xh5XA5fB2K/Dhw/B8c/g06cw7X4T23X/D9viRYQuXgSAs76e2qNHqd6TTnX6HmrS91J75AgNeXlUrFlLxZq1rnvbBg0yEq7GNVy+I0Zg9vW9bJ9fRKS9lFyJiIjIBfnExblvEOznB6NGtX1y32Fw5/uw99+w+idQfBz+fhMMXwTzn4GweEw+PviNGIHfiBH0ueVmABxVVdTs3091+l5q0vdQvSed+lOnqMvMpC4zk7L3lxv3t1rxGzYMv5Rk1xouW2IiJouli/8URETOT8mViIiIdD6TCVJugiHXwvpfwpYX4eAKOLoWrvwRTPsuWN2rB5oDAgiYOJGAiRNdbQ3FxdSkN04lTE+nOj0de1ERNfv2UbNvHyVvve261m/UqMYRLuNhjYvDZDJd1o8tIr2bkisRERHpOn4hMO8XxlTBDx6CrE2w9knY9SZc9/8g6erzXm7t04egWbMImjULAKfTSf3pM81rt/bsoXr/fhxVVVR98QVVX3zhutYSEYF/crKRcI0ejV9yMtY+fbr044pI76bkSkRERLpe9Ci450PY8zZ89BgUHoE3boRRX4J5T0FI3AVvAWAymbD174etfz9C5s8HwGm3U3vsmGtkq2ZPOjWHD2MvLKRi/Xoq1q93Xe8TH49/Sgp+KY0FM0aMwBwQ0BWfWER6Ia/YXCI1NZVBgwbh5+fHlClT2LZtW7uue+uttzCZTNx4441u7U6nk8cff5zY2Fj8/f2ZO3cuR44c6YLIRUREpN1MJhhzKzy4HSZ/G0xm2Pcf+P0k2PQ7sNdf3G0tFvyGDiXsK18h9mc/I+HdfzNs+xcMeutNov/3fwlZvBjboEEA1J88SdmHH5L3y19y4rbbOTRxEhk33Ej2T39K8dv/pObAAZwNDZ34oUWkN/H4yNXbb7/N0qVLeemll5gyZQrPP/888+bN49ChQ0RFnXuvi8zMTB566CFmzpzZ6tivfvUrfvvb3/KXv/yFhIQEfvrTnzJv3jz279+Pn59fV34cERERuRD/MLjuVzDudvjgh3BqmzGatfPvsPDXMOiKS34Ls58f/mPH4j92rKvNXlpKzb59jRUKjSmFDfn51B46RO2hQ/CvdwAw+fnhN3KksQdXY8EMn/h4rd8SkQvyeHL17LPPct9993HPPfcA8NJLL/HBBx/w2muv8cgjj7R5jd1u57bbbmPZsmVs2LCBkpIS1zGn08nzzz/PY489xg033ADAX//6V6Kjo3nvvfe49dZbW92vtraW2tpa1+uysrJO/IQiIiLSptjR8I3VsOvvsOYJyD8Ary+ElJvh2p9DcHSnvp0lNJTA6dMJnD7d1Vafm0v1HqMUfFNJeEdFBdVpaVSnpbld65eS0lyhMCUZa9++nRqfiHR/Hk2u6urq2LFjB48++qirzWw2M3fuXDZv3nzO65588kmioqK499572bBhg9ux48ePk5OTw9y5c11toaGhTJkyhc2bN7eZXD399NMsW7as9Rvdcgv4+FzEJ+tk27bB9dd7OgrpTtRnpKPUZ6SjOrvPWIZB3HGIzIb0f8Kuf8OZQZDfD+i6ESOfxkfTNsXO2Bjq6uupqamhuqaG6hrjH2DtpaVUbtxI5caNrmutViv+fn74+/ni5+eHn68vFpWDPzd9z0hHeUufqW//lGWPJlcFBQXY7Xaio93/ZSo6OpqDBw+2ec3GjRt59dVX2bVrV5vHc3JyXPc4+55Nx8726KOPsnTpUtfrsrIy4uPj4e23wRt2hb/+enj/fU9HId2J+ox0lPqMdFRX9ZnTO4ypgmd2QvwxmBgAC38DA6Z0/nu1wQT4Nj5CG9ucdXXUHDrsqlBYnb6HumMZNDQ0UF5RQXlFRePFJmxJifgnp7g2PfYbNhSTzdb2m/U2+p6RjvKWPlNWBqGhFz4PL5gW2BHl5eXccccdvPLKK0RGRnbafX19ffHVTu8iIiKe128CfHMtpP0F1iyD3HR47VoYezvM/RkEXf6peCabDf+UZPxTkunzta8BYK+oNPbaSt9DdeOUwoYz2dQdPUbd0WOUvveeca2PD74jRjRWKEzGf/RobIMGYTJ7RU0xEelkHk2uIiMjsVgs5ObmurXn5uYSExPT6vxjx46RmZnJ4sWLXW0OhwMwhuYPHTrkui43N5fY2Fi3e45tsahVREREvJTZAhO/ASOuhzU/g51vwK6/wcHlMOdxmHCPcY4HWYICCZwymcApk11tDQUFRqGMFpse20tLqdmzh5o9e1znmYOC8EtONhKuxk2PrdHRKpgh0gN4NLmy2WxMmDCBtWvXusqpOxwO1q5dy4MPPtjq/OHDh5Oenu7W9thjj1FeXs4LL7xAfHw8Pj4+xMTEsHbtWlcyVVZWxtatW3nggQe6+iOJiIhIZwmMhBt+D+PvhA+WQk66MWUw7Q1Y+Cz0n+DpCN1YIyMJvvpqgq82NkZ2Op3UnzzpSrSq09Op2b8fR0UFVVu2ULVlS/O1ffviN3p0Y4XCFPyTk7G0cxqSiHgPj08LXLp0KXfddRcTJ05k8uTJPP/881RWVrqqB955553069ePp59+Gj8/P5KTk92uDwsLA3Br//73v8/Pf/5zhgwZ4irFHhcX12o/LBEREekG4ifDt9bDF6/CJz+H7F3wpzlG0jX3ZxAQ7ukI22QymbANGIBtwABCFy0EwNnQQO3Ro40VCtOpTt9L7ZEjNOTnU7F2LRVr17qutw0c2JhwGVMK/UaMwKwtZUS8mseTq1tuuYX8/Hwef/xxcnJyGDt2LKtWrXIVpMjKysLcwXnJDz/8MJWVlXzrW9+ipKSEK664glWrVmmPKxERke7KbIEp34JRN8JHP4U9bxnrsg4sNxKscXdAN1jHZLJa8Rs+HL/hw+HmmwFwVFVRc+BA495b6VTv3Ut9VhZ1J05Qd+IEZcuXGxdbrfgOHWKUgh+dgl9KCr5JSZhUoVDEa5icTqfT00F4m7KyMkJDQyktLSVE1QKlO1KfkY5Sn5GO8nSfyfwcPnwI8vYbr/tNNKoKxo31XEydqKG4mJq9e5sTrvR07IWFrc4zBQTgP3JkiymFo/HpF+ed67c83Wek+/GSPtOR3MDjI1ciIiIiHTZoBnz7M9j2R1j3FJzeDq9cDRPvhdk/Af8+no7wklj79CFo5kyCZs4EjPVbDdnZrlLwNXvSqdm3D0dVFVXbt1O1fbvrWkt4uNtmx34pKVjDvXPqpEhPo+RKREREuieLD0xbAqO+DB89BnvfgS9egX3/gWv/D8Z8DbxxBOcimEwmfOLi8ImLI2T+PACcdjt1GRmuUvA1e9KpOXwYe1ERles/o3L9Z67rffr3b064RqfgN3Ik5oAAT30ckR5LyZWIiIh0byGxcNOrRoGLDx+CgsPw3gOQ9le47tcQk3zhe3RDJosF3yFD8B0yhLAvfwkAR20ttQcPGhUKGzc9rjt+nPpTp6g/dYrylauMi81mfAcPNkrBJ6fgPzoF3yFDMPn4ePATiXR/Sq5ERESkZ0i8Eu7/HLakwvpfQdZmeHkWTPk2XPUo+HnBOuouZvb1xX/MGPzHjHG12cvKqNm3r3lKYfpeGnJzqT18mNrDhyl9598AmHx98RsxonHvLWNKoc/Agd65fkvESym5aiE1NZXU1FTsdrunQxEREZGLYbXBFT+AlK/CqkfhwPuw5Q+w999w7S8g5aYeM1WwvSwhIQROm0bgtGmutvrcXFcp+Jr0PVSn78VRXk71rl1U79pFceN55tBQ/JOTjSmFo0fjl5yMT1RUu963/swZGoqLmxtqamDfPtdLa58++MTFdcZHFPEaSq5aWLJkCUuWLHFVBBEREZFuKrQ/3PIGHF0DHz4MRcfg3W8a5duv+zVEDfd0hB7lEx2NT3Q0wXPnAuB0OKg7ccJIuBo3Pa45cABHaSmVn39O5eefu661xsQYe2+NTjH+m5yMJSjI7f71Z85wbP4CnHV17m/8lZtcT002G0mrVirBkh5FyZWIiIj0XIPnwnc2w+e/hQ2/hswN8NIMmPoduPLH4Bt04Xv0AiazGd+EBHwTEgi9/noAnHV11Bw+4lq7VZO+h9qjx2jIyaE8J4fyjz9uvNiELSGhOeEaPRqn3dE6sTqLs66OhuJiJVfSoyi5EhERkZ7N6gtX/ghG3wyrHoFDH8Km30L6OzD/KRh5Y6+bKtgeJpsN/+RR+CePos+ttwJgr6ikZv++5imFe/ZQf+YMdRkZ1GVkUPrf/xoXW/UTU3on9XwRERHpHfoMhK+9CYdWwcqHoeQE/OtuSLwarvt/EDnE0xF6PUtQIIGTJxM4ebKrraGwsHmz473Gf+0lJe26X3XaTswBAdj69cNks3VR1CKXj5IrERER6V2GzTcqC258DjY+Dxnr4A/TYMb3YOZDYNP+Tx1hjYgg+KqrCL7qKsDY8Lhi3TpOfWfJBa/N/cUvjCdmMz5xcdgGxOMzYAC2AQObn8fHY/b378JPINJ5lFyJiIhI7+PjD1f/L4y+xRjFOroGNvwG9vwLFjwDw67TVMGLZDKZsEZHt+tcnwEDaMjLw1lT49qLi02bW51njYrCNmBAY+I1oDHxMhIwS0jPL7Ev3YeSKxEREem9IpLgtnfg4AqjdHtpFrz1dRhyLSz4JYQnejrCHq3fc8/iN3IkDfn51GdlUZd1krqsEy2eZ+EoK6MhL4+GvDzYvr3VPSxhYfgMbBztio/HNrA5CbOEh2ufLrmslFyJiIhI72YywYjFkDQbPvs1bPodHPkIMtYbe2Zd8X1jpEu6hMlkwicqCp+oKAImTmx13F5SQl1WFnUnsqg7mUX9iSzj9cmT2AsKsJeUYC8poWb3nlbXmgMDW4x2DcBnQLxryqE1OhqT2Xw5PqL0IkquRERERABsgTD3CRj7dfjwIcj4FNY/A3veggX/D4Ze6+kIuw1rnz6YbLbzlmM32WxY+/S54L0sYWH4h4XhP3p0q2P2ikrqT500Eq+sE9Q3jnbVZWXRkJODo7KS2gMHqD1woM339xkQjy2+MfEaOMB4PnAAPnFxmFTxUC6Ceo2IiIhIS5FD4I73YN9/YPX/QnEm/OOrMGwhzH/aqDoo5+UTF0fSqpU0FBc3N/7gB/Dcc66X1j59LnmPK0tQIJbhw/Eb3npTaEdtLfWnTlGXlWVMMzxhjHbVZZ2g/vQZnHV11B09Rt3RY23c2IJPv34t1ne1KLIRH4/Z1/eS4paeS8mViIiIyNlMJkj+Mgy5Btb/Era8CIc+gGOfwKwfwvTvGftnyTn5xMW5J09+fjBq1GV7f7OvL75JSfgmJbU65mxooD47m7oTWdSfbEy8shqfZ53EWVtLfWNSVnn2xY0FO2wDGke5Gke+mp5bggIvy+cT76TkSkRERORcfIPh2p/D2Nvgg4fgxEb45Oew+y1jb6yk2Z6OUC6CyWo1il/ExwMz3I45HQ4a8vKaR7xcUw1PUH8iC0dlJQ05OTTk5FC1bVure1siIloV1miqdGgJC1OBjR5OyVULqamppKamYrfbPR2KiIiIeJOoEXD3Ckj/F6z+Cfx/9u47LqvqD+D45wFkD8EFOMCFuAeO1Ez8qYGZO0M0w22JudPMrSnlHpmamppZjtI0TU1NEJUUB04Ecae4N4ginN8fxI1HhmDIg/h9v163fO4999zvvZwHnu9z7j3nVhQsbwMVWoPXJLAraugIRTbRGRmRz9GRfI6OkGKyZEiawyvhzp1/kq7Ug2wk3LlDwq1bPLp1i0dhYanqNrKxeWZgjX+HlTcpXEgSrzxAkqsU/P398ff35/79+9jZ2Rk6HCGEEELkJjodVHkf3LxgZwDsXwAnf4XT28BzGNT5GExMDR2leIl0Oh0mDg6YODhgUa1aqu0JDx78c3th6kE2nl67RuKDB8SdOEHciROp6zY3x7R4cb2BNZJ7vPI5OsoAG68I+SkJIYQQQmSFuV3SRMPVO8GmwXBpH2wbDYdXQPOpUPItQ0coDMTYxgaLihWxSOPZssS4uKSkK+V8Xv8MshF/+TIqLo7Hp0/z+PTp1BXny4eps/O/83mlGGQjX7GiGJlKUp9bSHIlhBBCCPEiHCtD1y1w5Kek5OpmBCxrAZXeA6+JYONo6AhFLmJkbo5Z2bKYlS2bapuKjyf+yhXtVkP9QTYuoeLjeXLhAk8uXCCGYP2ddTryOTn9+3yXSwnyFS+OqUvSpMpGlpY5dIYCJLkSQgghhHhxRkZJPVju7yQNdBG6GI7/DJFbodHnULsXGMvHLZExXb58ScmQiws00N+mEhJ4eu3av71dKQbZiL94kcTYWOKvXCH+yhVi//orVd3GhQom9XalMciGsTwGk+3k3S6EEEII8V9Z2EPzaVD9g6RbBS8fhK3D4fAPSetd6ho6QvGK0hkba8PaW71RR2+bUoqEW7e0iZNTzucVf+ECCffukXDjJo9u3OTRwYOp6ja2s9OSLW2QDZcSmBYvjnHBgjLAxguQ5EoIIYQQIrs4V4fu2+Hw97B9LFw/AUu8oWpHaDoOrAsbOkKRh+h0OkwKFsSkYEEsa9RItT3h3r1/e7ySB9n4Z3TDpzduJCVfx44Rd+xY6rotLZN6u1LO5/XPIBsmjo7ojIxy4hRfOZJcCSGEEEJkJyMj8OgC7i1gxzg4tAyO/AinNkHjUVCzGxgZGzpK8RowtrPDorIdFpUrpdqWGBvLk0t/P3OrYdLohvHR0ajYWB5HRPA4IiLVvrp8+ZKe69IbVv6f10WLosuX74Xijb9yhad37vy7Ii4OUoysaGJvrz8xdS4kyZUQQgghxMtgVQBazoYaH8KmQRB9BH4fAoe+h+bToXgtQ0coXmNGlpaYl3PDvJxbqm2JT54Q//dlvYE1tPm8Ll9OGmDj7FmenD2bumJjY/I5OaW61TDfP5M2G1lYpBlP/JUrnPFuhnryRH9Du/e0f+pMTSm9ZXOuTrAkuRJCCCGEeJmK1YSeO+HAd/DnBLh6FBY3SUq6Go9NSsKEyEWMTE0xK1USs1IlU21TCQnER18l/uKFfwfWSJGEqbg44v/+m/i//4a9qes2KVIk1Xxe+UqUIDE2NnVi9eyxnzzh6Z07klwJIYQQQrzWjIyhdk+o0Dpp2PYjPyb1YIX/Bo3HQA2/pNsJhcjldMbGmBYrimmxoljV09+mlOLpjRspBta4+O8thxcukPjgAU+vXePptWtw4IBhTuAlk+RKCCGEECKnWBeCNvOSeq1+HwLXjsPGAXB4edKogs7VDR2hEC9Mp9ORr3Bh8hUujGXNmnrblFIk3L2bamCNpFsOL5Fw86aBos5eklylMHfuXObOnUtCQoKhQxFCCCFEXuZSF3oFQehC+HNi0tDt3zZKGuyi8aikod2FyEN0Oh0m9vaY2NtjUaVKqu0xBw5y8YMPDBBZ9pL+5xT8/f05efIkoaGhhg5FCCGEEHmdsQm88TF8cgAqtwcUHFgMczyS5sdKTDR0hELkGCMLc0OHkC0kuRJCCCGEMCQbR2i3CPw2QiF3iL0F6/2T5se6mnr+ISFE7iXJlRBCCCFEblCyAXy0G5qOh3xWcGkfLHgLNn8GcfcMHZ0QIhMkuRJCCCGEyC2M80H9/tA3NGlkQZUI++bB17Xg6GpQytARCvFSmNjbozM1zbCMztQUE/vc/TyiDGghhBBCCJHb2BWF95dB1A7YPBRuRcHannBwGTSfCoXLGzpCIbJVPmdnSm/ZzNM7d/5dOXAgzJihvTSxt8/Vc1yBJFdCCCGEELlXmcbw8V7YOwd2TYULu2H+m1DnI/D8DMxsDB2hENkmn7OzfvJkbg4VKxouoBcgtwUKIYQQQuRmJmbw1hDoux/c34XEpxDyddKtgsfXyq2CQuQiklwJIYQQQrwK8peADiug4xqwLwkPouHnrrC8Ndw8bejohBBIciWEEEII8Wpxexv6/AWew8HYDM4Gwjd1Yfs4eBJj6OiEeK1JciWEEEII8arJZ570zJX/X1D2bUiMh93TYW4dCP9NbhUUwkAkuRJCCCGEeFU5lIKOq6HDj2BXAu5dglUfwIr2cOuMoaMT4rUjyVUKc+fOpUKFCtSqVcvQoQghhBBCZI5OB+7NwX8fNBgCxqYQtS3pVsGdkyD+kaEjFOK1IclVCv7+/pw8eZLQ0FBDhyKEEEIIkTWmltB4FHwcAqUaQcJjCPoq6VbBiC2Gjk6I14IkV0IIIYQQeUnBMtB5HbRfBrZF4e4F+MkHfvKFO+cNHZ0QeZokV0IIIYQQeY1OBxVbg/9+qN8fjEwg4vekXqygKfD0saEjFCJPkuRKCCGEECKvMrOGpuPhoz3g2gCexsHOL+CbNyBqu6GjEyLPkeRKCCGEECKvK+wOfr9Bu8Vg7Qi3z8IP7WBVZ7j3t6GjEyLPkORKCCGEEOJ1oNNB5fegbyi84Q86YwjfAF/Xgt0z4OkTQ0coxCtPkishhBBCiNeJuS14T4Leu6BEXYiPhe1jYf6bcDbI0NEJ8UozeHI1d+5cXF1dMTc3p06dOuzfvz/dsmvXrqVmzZrkz58fKysrqlWrxvLly/XKXLt2jS5duuDs7IylpSXe3t6cPn36ZZ+GEEIIIcSrxbESdN0MreeDVSG4GQHft4Sfu8H9aENHJ8QryaDJ1apVqxg0aBBjxozh0KFDVK1aFS8vL65fv55meQcHB0aMGEFISAhHjx6la9eudO3ala1btwKglKJ169acPXuW9evXc/jwYVxcXGjSpAkxMTE5eWpCCCGEELmfTgfVfKHvAajVE3RGcPwX+Lom7P0aEuINHaEQrxSDJlfTp0+nZ8+edO3alQoVKjB//nwsLS357rvv0izv6elJmzZtKF++PKVLl6Z///5UqVKF3bt3A3D69Gn++usv5s2bR61atShXrhzz5s3j0aNH/PTTTzl5akIIIYQQrw6L/NB8KvTcCUVrwpOH8McIWPAWnN9j6OiEeGUYLLl68uQJBw8epEmTJv8GY2REkyZNCAkJee7+Sil27NhBREQEb731FgCPHyfN2WBubq5Xp5mZmZaApeXx48fcv39fbxFCCCGEeO04V4Pu26DlHLBwgOsnYek7sLY3PEz7ziIhxL9MDHXgmzdvkpCQQJEiRfTWFylShFOnTqW737179yhatCiPHz/G2NiYb775hqZNmwLg7u5OiRIlGD58OAsWLMDKyooZM2bw999/Ex2d/r3DAQEBjBs3LvUGHx/Il+/FTjA77d8PLVsaOgrxKpE2I7JK2ozIKmkzeZ+xOzifg4LRcHQlHFoD0SXhhjOgy3p90mZEVuWWNhOf+dtjDZZcvSgbGxvCwsJ4+PAhO3bsYNCgQZQqVQpPT0/y5cvH2rVr6d69Ow4ODhgbG9OkSROaNWuGUirdOocPH86gQYO01/fv36d48eKwahXY2ubEaWWsZUvYsMHQUYhXibQZkVXSZkRWSZt5ffx9EDYNgugwKB4FtSyg+XQoXjtr9UibEVmVW9rM/ftgZ5epogZLrgoWLIixsTHXrl3TW3/t2jUcHR3T3c/IyIgyZcoAUK1aNcLDwwkICMDT0xMADw8PwsLCuHfvHk+ePKFQoULUqVOHmjVrplunmZkZZmZm//2khBBCCCHymmIe0PNPOLgUdoyHq8dgcVOo/gE0GQdWBQ0doRC5hsGeuTI1NcXDw4MdO3Zo6xITE9mxYwd169bNdD2JiYnas1Yp2dnZUahQIU6fPs2BAwdo1apVtsQthBBCCPHaMTKGWt3hk4NQ7YOkdYd/gDkecOA7SEwwbHxC5BIGvS1w0KBB+Pn5UbNmTWrXrs3MmTOJiYmha9euAHz44YcULVqUgIAAIOnZqJo1a1K6dGkeP37M77//zvLly5k3b55W55o1ayhUqBAlSpTg2LFj9O/fn9atW/P2228b5ByFEEIIIfIMq4LQei7U6AybhsC1Y7BxIBz6HppPg6Ieho5QCIMyaHLl4+PDjRs3GD16NFevXqVatWps2bJFG+Ti4sWLGBn927kWExNDnz59+Pvvv7GwsMDd3Z0ffvgBHx8frUx0dDSDBg3i2rVrODk58eGHHzJq1KgcPzchhBBCiDyrxBvQKxBCF8HOiXDlMCxsDB5doPFosHQwdIRCGIROZTTSw2vq/v372NnZce/ePWxlQAvxKpI2I7JK2ozIKmkzItmDa7BtFBxdlfTaskDSs1h3L4GxCTQcmrQ+ZZsJmpx0K2Gj4YaJWbwacsnvmazkBgadRFgIIYQQQrzibIpA22+hy+9QqDzE3oINfSHsh6ReraDJ+uWDJietNzI2TLxCvESv3FDsQgghhBAiF3KtDx8Fw775EPgl3L8M6JISqfhHSWWSE6tGI/7t0RIiD5GeKyGEEEIIkT2M80G9T6BvKFRsC/zz9Mnu6VB9lyRWIs+T5EoIIYQQQmQvW2dovwQ6/woFyiat0ylAB4UrgDzyL/IoSa6EEEIIIcTLUboRVGqX9G/1z39WdYJFTeBcsCEjE+KlkOQqhblz51KhQgVq1apl6FCEEEIIIV59QZMh6MukWwGP1geXeknrLx+AZe/C8jZJw7gLkUdIcpWCv78/J0+eJDQ01NChCCGEEEK82p4dvCLBBLpuhnr9k7brjODMn/CtJ6z2g5unDRquENlBRgsUQgghhBDZLzEh7cEr3h4PZtYQcxPi7sLR1XDyVwj/Dap3goafgV1RQ0QsxH8myZUQQgghhMh+GU0QnDLhqt8fdkyAyM1w6Hs4sgpq94QGg8HS4eXHKUQ2ktsChRBCCCGE4RSpCB1XQrc/oEQ9SHgMIV/DrKpJtxY+fmjoCIXINEmuhBBCCCGE4ZWoA11/h04/g2NleHw/6Zmt2dVg3wJ4+tjQEQrxXJJcCSGEEEKI3EGng7JNodcuaLcYHEpBzA3YPBTm1ISwn5Ke5RIil5LkSgghhBBC5C5GRlD5PfDfD+/OABsnuHcRfv0I5tWHU5tkImKRK0lyJYQQQgghcifjfFCzG3xyCJqMA/P8cCMcVnaExU1lImKR60hyJYQQQgghcjdTS3hzAPQ/kjSKYD5L+Dv0n4mI28KVMENHKAQgyZUQQgghhHhVWOSHxqOhXxjU6glGJnBmB3zbENZ0gZtRBg5QvO4kuRJCCCGEEK8WmyLQfCr0PQBVfAAdnFgHc2vDhn5w77KhIxSvKUmuUpg7dy4VKlSgVq1ahg5FCCGEEEI8j0NJaPstfLwH3JqBSoBDy2B2dfhjJMTeNnSE4jUjyVUK/v7+nDx5ktDQUEOHIoQQQgghMkubiHjrvxMR753zz0TEU2QiYpFjJLkSQgghhBB5Q4k3/p2IuEjyRMRfyETEIsdIciWEEEIIIfKO5ImIe/8zEbF9yX8nIv66JhxZKRMRi5dGkishhBBCCJH3JE9E3Dc0aSJia0e4exHW9ZaJiMVLI8mVEEIIIYTIu5InIu53+J+JiO30JyI+v9vQEYo8RJIrIYQQQgiR96WciPjNQf9ORLy0uUxELLKNJFdCCCGEEOL1YWEPTcYk9WTV6iETEYtsJcmVEEIIIYR4/dg4QvNpSc9kVX4fmYhYZAdJroQQQgghxOvLoRS0Wwgf7QY3738nIp5TA/4YJRMRiyyR5EoIIYQQQgjHStBx1T8TEdeFp3Gwd3bSRMS7ZCJikTmSXAkhhBBCCJGsxBvQdTN0XPPvRMR/Jk9E/C08fWLoCEUuJslVCnPnzqVChQrUqlXL0KEIIYQQQghD0enA7e00JiL+FL72kImIRbokuUrB39+fkydPEhoaauhQhBBCCCGEoaWciLj5dP2JiOe/Cad+l4mIhR5JroQQQgghhMiIcT6o1f2fiYjHJk1EfP0krPSFxW/LRMRCI8mVEEIIIYQQmWFqCW8O/HciYhML+Ht/0kTEP7SD6COGjlAYmCRXQgghhBBCZEXyRMT9w/6diDhqOyx4C9Z0hVtnDB2hMBBJroQQQgghhHgRaU5EvBa+rgW/9Yf7VwwdochhklwJIYQQQgjxX6Q1EfHBpTC7ukxE/JqR5EoIIYQQQojskDwRcdctz0xEXC1pIuInMYaOULxkklwJIYQQQgiRnVzqppiIuBI8vpc0EfGsajIRcR4nyZUQQgghhBDZTZuIOPifiYhdIeb6PxMR14Qjq2Qi4jxIkishhBBCCCFeluSJiP1Dkwa/sC4Cdy/Aul5JExFHbJaJiPMQSa6EEEIIIYR42UxMk4Zt7xemPxHxTx3+mYh4j6EjFNlAkqsU5s6dS4UKFahVq5ahQxFCCCGEEHmR3kTEA1NMRPwO/PAeRB81dITiP5DkKgV/f39OnjxJaGiooUMRQgghhBB5mYV9Ug9W/zCo2f2fiYi3wYIG8HM3mYj4FSXJlRBCCCGEEIZi4wjvTv9nIuL2gA6O//LPRMQD4H60oSMUWSDJlRBCCCGEEIbmUAraLYKPgqGs1z8TES+B2dVg22iZiPgVIcmVEEIIIYQQuYVjZei0Omki4uJvJE1EvGfWPxMRT5WJiHM5Sa6EEEIIIYTIbVzqQrct0HF1iomIJyQlWfsXykTEuZQkV0IIIYQQQuRGOh24eSVNRNx20b8TEf8+RCYizqUkuRJCCCGEECI3MzKCKu3TmYi4gUxEnItIciWEEEIIIcSrQJuI+DA0HvPPRMQnkiYi/s5LJiLOBQyeXM2dOxdXV1fMzc2pU6cO+/fvT7fs2rVrqVmzJvnz58fKyopq1aqxfPlyvTIPHz6kb9++FCtWDAsLCypUqMD8+fNf9mkIIYQQQgiRM0ytoMEg/YmIL+2TiYhzAYMmV6tWrWLQoEGMGTOGQ4cOUbVqVby8vLh+/Xqa5R0cHBgxYgQhISEcPXqUrl270rVrV7Zu3aqVGTRoEFu2bOGHH34gPDycAQMG0LdvXzZs2JBTpyWEEEIIIcTLJxMR5zoGTa6mT59Oz5496dq1q9bDZGlpyXfffZdmeU9PT9q0aUP58uUpXbo0/fv3p0qVKuzevVsrs3fvXvz8/PD09MTV1ZVevXpRtWrVDHvEhBBCCCGEeGUlT0Tsv/+fiYhJmoh4bm2ZiDiHGSy5evLkCQcPHqRJkyb/BmNkRJMmTQgJCXnu/kopduzYQUREBG+99Za2vl69emzYsIHLly+jlGLnzp1ERkby9ttvp1vX48ePuX//vt4ihBBCCCHEK6VA6X8mIt6dNBFx4tN/JiKuLhMR5xATQx345s2bJCQkUKRIEb31RYoU4dSpU+nud+/ePYoWLcrjx48xNjbmm2++oWnTptr2OXPm0KtXL4oVK4aJiQlGRkYsXLhQLwF7VkBAAOPGjUu9wccH8uXL+sllt/37oWVLQ0chXiXSZkRWSZsRWSVtRmSVtJmcZ1UVip4D6/tJExEHfQ3XisONYpBobOjoni+3tJn4+EwXNVhy9aJsbGwICwvj4cOH7Nixg0GDBlGqVCk8PT2BpOTqr7/+YsOGDbi4uLBr1y78/f1xdnbW6yVLafjw4QwaNEh7ff/+fYoXLw6rVoGtbU6cVsZatgR5ZkxkhbQZkVXSZkRWSZsRWSVtxjCUgtN/wI7xcO04FD0PbrHQcCjU8EsagTC3yi1t5v59sLPLVFGDJVcFCxbE2NiYa9eu6a2/du0ajo6O6e5nZGREmTJlAKhWrRrh4eEEBATg6enJo0eP+Pzzz1m3bh3NmzcHoEqVKoSFhTF16tR0kyszMzPMzMyy6cyEEEIIIYTIJZInIi7TNOk5rJ1fwJ3zSRMR750D/xsJld5LmktL/GcGu4qmpqZ4eHiwY8cObV1iYiI7duygbt26ma4nMTGRx48fAxAfH098fDxGzzQOY2NjEhMTsydwIYQQQgghXjUpJyJ+Z+q/ExGv7Qnz34SILTIRcTYw6G2BgwYNws/Pj5o1a1K7dm1mzpxJTEwMXbt2BeDDDz+kaNGiBAQEAEnPRtWsWZPSpUvz+PFjfv/9d5YvX868efMAsLW1pWHDhnz66adYWFjg4uJCUFAQ33//PdOnTzfYeQohhBBCCJErmJhC7Z5QrSPsmw+7Z/0zEbEPFH8DmowBl3qGjvKVZdDkysfHhxs3bjB69GiuXr1KtWrV2LJlizbIxcWLF/V6oWJiYujTpw9///03FhYWuLu788MPP+Dj46OVWblyJcOHD6dTp07cvn0bFxcXJk6cyEcffZTj5yeEEEIIIUSuZGoFDQaDR9ekwS72LYBLf8GSZlD2bfjfKHCqYugoXzk6paT/71n379/Hzs6Oe/fuYSsDWohXkbQZkVXSZkRWSZsRWSVtJne7Hw27JsOh75OGcIekZ7EafZ40xLsh5JI2k5XcQJ5cE0IIIYQQ4nVn6wTvzkiaiLjSe0nrjv+cNBHxxoEyEXEmSXIlhBBCCCGESFKgNLy3GHoHJ90emPgUDnz3z0TEY+DRHUNHmKtJciWEEEIIIYTQ51QFOq2BrpuTBrp4+gj2zISZVSF4GjyJMXSEuZIkV0IIIYQQQoi0udSDblvAdxUUrgiP7yVNSDy7OuxfCE+fGDrCXEWSKyGEEEIIIUT6dDoo5w0f7Ya2CyG/Czy8ljQR8dxacHQ1yJyygCRXeubOnUuFChWoVauWoUMRQgghhBAidzEygirvQ98DSRMRWxWGO+eTJiJe0AAit772ExFLcpWCv78/J0+eJDQ01NChCCGEEEIIkTslT0TcPwwajwYzO7h2HH58H77zhgt7DR2hwUhyJYQQQgghhMi65ImI+4dB/QFgYv7vRMQr2sPVY4aOMMdJciWEEEIIIYR4cZYO0HQc9AuDmt1AZwyn/4D5b8LP3eHWGUNHmGMkuRJCCCGEEEL8d8kTEfcNfW0nIpbkSgghhBBCCJF9XuOJiCW5EkIIIYQQQmS/5ImIu/wOxev8OxHxrKoQPB2exBo6wmwnyZUQQgghhBDi5XGtD922/jsRcdw92DEOZleD0EWQEG/oCLONiaEDEEIIIYQQQuRxyRMRl20Kx3+BP7+Auxdg02DYOwcajYSbp8HYBBoOTb1/0GRITIBGw3M+9iyQ5EoIIYQQQgiRM4yMkyYirtAaDi1LSprunIe1PZImJY65njQRseewf/cJmgw7J0KjEYaKOtMkuRJCCCGEEELkrOSJiKt1hL/mwZ7ZSYkVQOAkuHcp6d8pE6u0erRyGXnmSgghhBBCCGEYplbw1pB/JiLunzQRMcDh5VA96JVKrECSKz1z586lQoUK1KpVy9ChCCGEEEII8fqwdICm46HfYfDomrROBxibvjKJFUhypcff35+TJ08SGhpq6FCEEEIIIYR4/dg6Jy0AiTpIeJJ0a+ArQpIrIYQQQgghRO6Q8hmrsLeS/r9z4iuTYMmAFkIIIYQQQgjDe3bwimm7/70lcOfEpP/n8lsEJbkSQgghhBBCGF5iQtqDVyS/TkzI+ZiySJIrIYQQQgghhOFlNEFwLu+xSibPXAkhhBBCCCFENpDkSgghhBBCCCGygSRXQgghhBBCCJENJLkSQgghhBBCiGwgyZUQQgghhBBCZANJroQQQgghhBAiG0hylcLcuXOpUKECtWrVMnQoQgghhBBCiFeMJFcp+Pv7c/LkSUJDQw0dihBCCCGEEOIVI8mVEEIIIYQQQmQDSa6EEEIIIYQQIhtIciWEEEIIIYQQ2UCSKyGEEEIIIYTIBpJcCSGEEEIIIUQ2kORKCCGEEEIIIbKBiaEDyI2UUgDcv3/fwJH8Iz4eckss4tUgbUZklbQZkVXSZkRWSZsRWZVL2kxyTpCcI2REpzJT6jXz999/U7x4cUOHIYQQQgghhMglLl26RLFixTIsI8lVGhITE7ly5Qo2NjbodLpU22vVqpVjEw3fv3+f4sWLc+nSJWxtbXPkmDl5foY6Zl4+nrQZOV5WvQ5tRtpo9pI2kzeOKW1Gjpebj5mb2oxSigcPHuDs7IyRUcZPVcltgWkwMjLKMCs1NjbOsR9yMltb2xw7piHOL6ePmdePB9Jm5HhZl5fbjLTRl0PazKt9TGkzcrxX4Zi5pc3Y2dllqg4Z0OIF+Pv7GzqEl8oQ55fTx8zrx8tp0mZe/ePltNfher4O55iTXofr+TqcY07K69fzdWijOS07zk9uC8zl7t+/j52dHffu3cvxbwrEq0najMgqaTMiq6TNiKySNiOy6lVtM9JzlcuZmZkxZswYzMzMDB2KeEVImxFZJW1GZJW0GZFV0mZEVr2qbUZ6roQQQgghhBAiG0jPlRBCCCGEEEJkA0muhBBCCCGEECIbSHIlhBBCCCGEENlAkishhBBCCCGEyAaSXAkhhBBCCCFENpDkKgft2rWLFi1a4OzsjE6n49dff33uPoGBgdSoUQMzMzPKlCnD0qVLU5WZO3curq6umJubU6dOHfbv35/9wQuDeBltJiAggFq1amFjY0PhwoVp3bo1ERERL+cERI57Wb9nkn355ZfodDoGDBiQbTELw3pZbeby5ct88MEHFChQAAsLCypXrsyBAwey/wREjnsZbSYhIYFRo0ZRsmRJLCwsKF26NBMmTEAGtc4bstpmoqOj6dixI25ubhgZGaX7N2fNmjW4u7tjbm5O5cqV+f3337M/+CyS5CoHxcTEULVqVebOnZup8ufOnaN58+Y0atSIsLAwBgwYQI8ePdi6datWZtWqVQwaNIgxY8Zw6NAhqlatipeXF9evX39ZpyFy0MtoM0FBQfj7+/PXX3+xbds24uPjefvtt4mJiXlZpyFy0MtoM8lCQ0NZsGABVapUye6whQG9jDZz584d6tevT758+di8eTMnT55k2rRp2Nvbv6zTEDnoZbSZr776innz5vH1118THh7OV199xeTJk5kzZ87LOg2Rg7LaZh4/fkyhQoUYOXIkVatWTbPM3r178fX1pXv37hw+fJjWrVvTunVrjh8/np2hZ50SBgGodevWZVhm6NChqmLFinrrfHx8lJeXl/a6du3ayt/fX3udkJCgnJ2dVUBAQLbGKwwvu9rMs65fv64AFRQUlB1hilwkO9vMgwcPVNmyZdW2bdtUw4YNVf/+/bM5WpEbZFebGTZsmHrzzTdfRogil8muNtO8eXPVrVs3vTJt27ZVnTp1yrZYRe6QmTaTUnp/c95//33VvHlzvXV16tRRvXv3/o8R/jfSc5WLhYSE0KRJE711Xl5ehISEAPDkyRMOHjyoV8bIyIgmTZpoZcTr5XltJi337t0DwMHB4aXGJnKnzLYZf39/mjdvnqqseP1kps1s2LCBmjVr0r59ewoXLkz16tVZuHBhTocqconMtJl69eqxY8cOIiMjAThy5Ai7d++mWbNmORqreHW8yGeenGBi0KOLDF29epUiRYrorStSpAj379/n0aNH3Llzh4SEhDTLnDp1KidDFbnE89qMhYWF3rbExEQGDBhA/fr1qVSpUk6GKnKJzLSZlStXcujQIUJDQw0UpchNMtNmzp49y7x58xg0aBCff/45oaGh9OvXD1NTU/z8/AwUuTCUzLSZzz77jPv37+Pu7o6xsTEJCQlMnDiRTp06GShqkdul166uXr1qoIiSSHIlxGvM39+f48ePs3v3bkOHInKpS5cu0b9/f7Zt24a5ubmhwxGviMTERGrWrMmkSZMAqF69OsePH2f+/PmSXIk0rV69mhUrVvDjjz9SsWJF7dksZ2dnaTPilSLJVS7m6OjItWvX9NZdu3YNW1tbLCwsMDY2xtjYOM0yjo6OORmqyCWe12ZS6tu3Lxs3bmTXrl0UK1YsJ8MUucjz2szBgwe5fv06NWrU0LYnJCSwa9cuvv76ax4/foyxsXFOhy0MKDO/Z5ycnKhQoYJemfLly/PLL7/kWJwi98hMm/n000/57LPP6NChAwCVK1fmwoULBAQESHIl0pReuzL0Z2B55ioXq1u3Ljt27NBbt23bNurWrQuAqakpHh4eemUSExPZsWOHVka8Xp7XZgCUUvTt25d169bx559/UrJkyZwOU+Qiz2szjRs35tixY4SFhWlLzZo16dSpE2FhYZJYvYYy83umfv36qaZ4iIyMxMXFJUdiFLlLZtpMbGwsRkb6H0uNjY1JTEzMkRjFqycz7cogDDqcxmvmwYMH6vDhw+rw4cMKUNOnT1eHDx9WFy5cUEop9dlnn6nOnTtr5c+ePassLS3Vp59+qsLDw9XcuXOVsbGx2rJli1Zm5cqVyszMTC1dulSdPHlS9erVS+XPn19dvXo1x89PZL+X0WY+/vhjZWdnpwIDA1V0dLS2xMbG5vj5iez3MtrMs2S0wLzlZbSZ/fv3KxMTEzVx4kR1+vRptWLFCmVpaal++OGHHD8/kf1eRpvx8/NTRYsWVRs3blTnzp1Ta9euVQULFlRDhw7N8fMT2S+rbUYppZX38PBQHTt2VIcPH1YnTpzQtu/Zs0eZmJioqVOnqvDwcDVmzBiVL18+dezYsRw9t2dJcpWDdu7cqYBUi5+fn1Iq6RdLw4YNU+1TrVo1ZWpqqkqVKqWWLFmSqt45c+aoEiVKKFNTU1W7dm31119/vfyTETniZbSZtOoD0mxb4tXzsn7PpCTJVd7ystrMb7/9pipVqqTMzMyUu7u7+vbbb1/+yYgc8TLazP3791X//v1ViRIllLm5uSpVqpQaMWKEevz4cc6clHipXqTNpFXexcVFr8zq1auVm5ubMjU1VRUrVlSbNm3KmRPKgE4pmfpaCCGEEEIIIf4reeZKCCGEEEIIIbKBJFdCCCGEEEIIkQ0kuRJCCCGEEEKIbCDJlRBCCCGEEEJkA0muhBBCCCGEECIbSHIlhBBCCCGEENlAkishhBBCCCGEyAaSXAkhRB61dOlS8ufP/9xyOp2OX3/99aXHkxt4enoyYMAAQ4ch/hEREYGjoyMPHjzI0eM+efIEV1dXDhw4kKPHFULkfZJcCSHEC+rSpQs6nQ6dTke+fPkoWbIkQ4cOJS4uLsdjcXV1ZebMmXrrfHx8iIyM1F6PHTuWatWqpdo3OjqaZs2avdT4li5dql0rIyMjihUrRteuXbl+/fpLPe7zpHXdXkTKtmBqakqZMmUYP348T58+/e9BGkhOJN3Dhw/nk08+wcbGBoDAwEDtOup0OgoVKsQ777zDsWPH9PZ73vV+tp4iRYrQrl07zp49C4CpqSlDhgxh2LBhL/X8hBCvH0muhBDiP/D29iY6OpqzZ88yY8YMFixYwJgxYwwdFgAWFhYULlz4ueUcHR0xMzN76fHY2toSHR3N33//zcKFC9m8eTOdO3d+6cfNKclt4fTp0wwePJixY8cyZcqUF6orISGBxMTEbI7QMOLj49Ncf/HiRTZu3EiXLl1SbYuIiCA6OpqtW7fy+PFjmjdvzpMnT/TKZOZ6R0REcOXKFdasWcOJEydo0aIFCQkJAHTq1Indu3dz4sSJ7DlRIYRAkishhPhPzMzMcHR0pHjx4rRu3ZomTZqwbds2bXtiYiIBAQGULFkSCwsLqlatys8//6xtT/6GfdOmTVSpUgVzc3PeeOMNjh8/rnec3bt306BBAywsLChevDj9+vUjJiYGSLrV7cKFCwwcOFD7ph70bwtcunQp48aN48iRI1qZpUuXAql7KI4dO8b//vc/LCwsKFCgAL169eLhw4fa9i5dutC6dWumTp2Kk5MTBQoUwN/fP90P0cl0Oh2Ojo44OzvTrFkz+vXrx/bt23n06BEAixYtonz58pibm+Pu7s4333yj7Xv+/Hl0Oh1r166lUaNGWFpaUrVqVUJCQrQyt27dwtfXl6JFi2JpaUnlypX56aef0o0nresWExODra2t3s8I4Ndff8XKyirD29eS24KLiwsff/wxTZo0YcOGDQBMnz6dypUrY2VlRfHixenTp4/eNU3+WW3YsIEKFSpgZmbGxYsXCQ0NpWnTphQsWBA7OzsaNmzIoUOHUl3XBQsW8O6772JpaUn58uUJCQkhKioKT09PrKysqFevHmfOnNHbb/369dSoUQNzc3NKlSrFuHHjtJ4fV1dXANq0aYNOp9NeP2+/5HjmzZtHy5YtsbKyYuLEiWler9WrV1O1alWKFi2aalvhwoVxdHSkRo0aDBgwgEuXLnHq1KlMX++U9Tg5OfHWW28xevRoTp48SVRUFAD29vbUr1+flStXphmfEEK8CEmuhBAimxw/fpy9e/diamqqrQsICOD7779n/vz5nDhxgoEDB/LBBx8QFBSkt++nn37KtGnTCA0NpVChQrRo0UJLVs6cOYO3tzft2rXj6NGjrFq1it27d9O3b18A1q5dS7FixRg/fjzR0dFER0enis3Hx4fBgwdTsWJFrYyPj0+qcjExMXh5eWFvb09oaChr1qxh+/bt2rGS7dy5kzNnzrBz506WLVvG0qVLtWQtsywsLEhMTOTp06esWLGC0aNHM3HiRMLDw5k0aRKjRo1i2bJlevuMGDGCIUOGEBYWhpubG76+vtoH+7i4ODw8PNi0aRPHjx+nV69edO7cmf3796d5/LSum5WVFR06dGDJkiV6ZZcsWcJ7772n3b6W2fNL7m0xMjJi9uzZnDhxgmXLlvHnn38ydOhQvfKxsbF89dVXLFq0iBMnTlC4cGEePHiAn58fu3fv5q+//qJs2bK88847qZK8CRMm8OGHHxIWFoa7uzsdO3akd+/eDB8+nAMHDqCU0vsZBgcH8+GHH9K/f39OnjzJggULWLp0qZYIhYaGaucdHR2tvX7efsnGjh1LmzZtOHbsGN26dUvz+gQHB1OzZs0Mr+G9e/e05Cfl++p51zu97YBemdq1axMcHJxhvUIIkSVKCCHEC/Hz81PGxsbKyspKmZmZKUAZGRmpn3/+WSmlVFxcnLK0tFR79+7V26979+7K19dXKaXUzp07FaBWrlypbb9165aysLBQq1at0sr36tVLr47g4GBlZGSkHj16pJRSysXFRc2YMUOvzJIlS5SdnZ32esyYMapq1aqpzgNQ69atU0op9e233yp7e3v18OFDbfumTZuUkZGRunr1qnbeLi4u6unTp1qZ9u3bKx8fn3Sv1bOxREZGKjc3N1WzZk2llFKlS5dWP/74o94+EyZMUHXr1lVKKXXu3DkFqEWLFmnbT5w4oQAVHh6e7nGbN2+uBg8erL1u2LCh6t+/v/Y6reu2b98+ZWxsrK5cuaKUUuratWvKxMREBQYGpnscPz8/1apVK6WUUomJiWrbtm3KzMxMDRkyJM3ya9asUQUKFNBeL1myRAEqLCws3WMopVRCQoKysbFRv/32m7YOUCNHjtReh4SEKEAtXrxYW/fTTz8pc3Nz7XXjxo3VpEmT9Opevny5cnJy0qs3uV1kdb8BAwZkeB5KKVW1alU1fvx4vXXJ7wcrKytlZWWlAAWoli1b6pV73vVOrufOnTtKKaWuXLmi6tWrp4oWLaoeP36s1TNr1izl6ur63FiFECKzTAyR0AkhRF7RqFEj5s2bR0xMDDNmzMDExIR27doBEBUVRWxsLE2bNtXb58mTJ1SvXl1vXd26dbV/Ozg4UK5cOcLDwwE4cuQIR48eZcWKFVoZpRSJiYmcO3eO8uXLZ9v5hIeHU7VqVaysrLR19evXJzExkYiICIoUKQJAxYoVMTY21so4OTmlGnTgWffu3cPa2prExETi4uJ48803WbRoETExMZw5c4bu3bvTs2dPrfzTp0+xs7PTq6NKlSp6xwS4fv067u7uJCQkMGnSJFavXs3ly5d58uQJjx8/xtLSMkvXoHbt2lSsWJFly5bx2Wef8cMPP+Di4sJbb72V4X4bN27E2tqa+Ph4EhMT6dixI2PHjgVg+/btBAQEcOrUKe7fv8/Tp0+Ji4sjNjZWi8/U1FTv/ACuXbvGyJEjCQwM5Pr16yQkJBAbG8vFixfTvS7JP6PKlSvrrYuLi+P+/fvY2tpy5MgR9uzZo9fjlJCQkCqmZ2V2v+f1SAE8evQIc3PzNLcFBwdjaWnJX3/9xaRJk5g/f36qMhld72TFihVDKUVsbCxVq1bll19+0esBs7CwIDY29rmxCiFEZklyJYQQ/4GVlRVlypQB4LvvvqNq1aosXryY7t27a8/UbNq0KdVzJVkZQOLhw4f07t2bfv36pdpWokSJ/xD9i8uXL5/ea51O99wBGGxsbDh06BBGRkY4OTlpt2ldu3YNgIULF1KnTh29fVImcM8eN/nZsuTjTpkyhVmzZjFz5kzt+aYBAwZkeKtYenr06MHcuXP57LPPWLJkCV27dtWOl57kRNvU1BRnZ2dMTJL+xJ4/f553332Xjz/+mIkTJ+Lg4MDu3bvp3r07T5480RISCwuLVMfw8/Pj1q1bzJo1CxcXF8zMzKhbt26qc0rrumR0rR4+fMi4ceNo27ZtqvNIL+HJyn4pk/P0FCxYkDt37qS5rWTJkuTPn59y5cpx/fp1fHx82LVrl16Z9K53SsHBwdja2lK4cOE0b+m8ffs2hQoVem6sQgiRWZJcCSFENjEyMuLzzz9n0KBBdOzYUW9ggoYNG2a4719//aUlSnfu3CEyMlLrkapRowYnT57Ukri0mJqaaqOg/Zcy5cuXZ+nSpcTExGgfkPfs2YORkRHlypXLcN/nMTIySvMcihQpgrOzM2fPnqVTp04vXP+ePXto1aoVH3zwAZCUSERGRlKhQoV090nvmnzwwQcMHTqU2bNnc/LkSfz8/J57/JSJdkoHDx4kMTGRadOmYWSU9Kjz6tWrM31O33zzDe+88w4Aly5d4ubNm5naNyM1atQgIiIiwzaVL1++VNcmM/tlVvXq1Tl58uRzy/n7+xMQEMC6deto06aNtj69651ScpKWnuPHj6fqRRZCiP9CBrQQQohs1L59e4yNjZk7dy42NjYMGTKEgQMHsmzZMs6cOcOhQ4eYM2dOqoEaxo8fz44dOzh+/DhdunShYMGCtG7dGoBhw4axd+9e+vbtS1hYGKdPn2b9+vV6AxS4urqya9cuLl++nO6Hb1dXV86dO0dYWBg3b97k8ePHqcp06tQJc3Nz/Pz8OH78ODt37uSTTz6hc+fO2u1mL8O4ceMICAhg9uzZREZGcuzYMZYsWcL06dMzXUfZsmXZtm0be/fuJTw8nN69e2u9YulJ77rZ29vTtm1bPv30U95++22KFSv2wudWpkwZ4uPjmTNnDmfPnmX58uVp3uaW3jktX76c8PBw9u3bR6dOnbQev/9i9OjRfP/994wbN44TJ04QHh7OypUrGTlypFbG1dWVHTt2cPXqVa2HKTP7ZZaXlxchISHPTfgtLS3p2bMnY8aMQSmV5eNkJDg4mLfffjtb6xRCvN4kuRJCiGxkYmJC3759mTx5MjExMUyYMIFRo0YREBBA+fLl8fb2ZtOmTZQsWVJvvy+//JL+/fvj4eHB1atX+e2337RnQ6pUqUJQUBCRkZE0aNCA6tWrM3r0aJydnbX9x48fz/nz5yldunS6tzm1a9cOb29vGjVqRKFChdIcptzS0pKtW7dy+/ZtatWqxXvvvUfjxo35+uuvs/EqpdajRw8WLVrEkiVLqFy5Mg0bNmTp0qWprlNGRo4cSY0aNfDy8sLT0xNHR0ctQU1PRtct+ba99Ea7y6yqVasyffp0vvrqKypVqsSKFSsICAjI1L6LFy/mzp071KhRg86dO9OvX79MzV32PF5eXmzcuJE//viDWrVq8cYbbzBjxgxcXFy0MtOmTWPbtm0UL15c693JzH6Z1axZM0xMTNi+fftzy/bt25fw8HDWrFmT5eOkJyQkhHv37vHee+9lW51CCKFT2f01kBBCiEwLDAykUaNG3LlzJ8Pbl0TOW758OQMHDuTKlSvPHQZcvJi5c+eyYcMGtm7dmuPH9vHxoWrVqnz++ec5fmwhRN4lz1wJIYQQKcTGxhIdHc2XX35J7969JbF6iXr37s3du3d58OBBluYQ+6+ePHlC5cqVGThwYI4dUwjxepCeKyGEMCDpucp9xo4dy8SJE3nrrbdYv3491tbWhg5JCCHEK0KSKyGEEEIIIYTIBjKghRBCCCGEEEJkA0muhBBCCCGEECIbSHIlhBBCCCGEENlAkishhBBCCCGEyAaSXAkhhBBCCCFENpDkSgghhBBCCCGygSRXQgghhBBCCJENTAwdgBAi+yUkJBAfH2/oMIQQQghNvnz5MDY2NnQYQrxUklwJkYcopbh69Sp37941dChCCCFEKvnz58fR0RGdTmfoUIR4KSS5EiIPSU6sChcujKWlpfzxEkIIkSsopYiNjeX69esAODk5GTgiIV4OSa6EyCMSEhK0xKpAgQKGDkcIIYTQY2FhAcD169cpXLiw3CIo8iQZ0EKIPCL5GStLS0sDRyKEEEKkLflvlDwXLPIqSa6EyGPkVkAhhBC5lfyNEnmdJFdCCCGEEEIIkQ0kuRJCCCGEEEKIbCDJlRDC4Dw9PRkwYIChw8iQq6srM2fOfGXqzU46nY5ff/3V0GG8FGPHjqVatWrZWuf58+fR6XSEhYVla73pcXV1RafTodPpXstpGDw9PbXzz6lrLoQQ6ZHkSgjxr50BEDQ57W1Bk5O2vwRr165lwoQJmS6f0x9es9uyZct48803AQgNDaVXr16Z3jcwMPCV/BC9cOFCGjRogL29Pfb29jRp0oT9+/dnev8uXbpoH6CTF29v7wz3Wbp0aap9kpfk4aBzs6x86TB+/Hiio6Oxs7MD/m0n9vb2xMXF6ZUNDQ3VrkOy5PJpLVevXtVL4NJaunTpApDu9pUrV2rHSkhIYMaMGVSuXBlzc3Ps7e1p1qwZe/bs0Ysz5c/PyMgIJycnfHx8uHjxol65tWvXZqktCSHEyyRDsQsh/mVkDDsnJv274dB/1wdNTlrfaMRLOayDg8NLqTcz4uPjyZcvX44ec/369bRs2RKAQoUK5eixkymlSEhIwMQkZ/4MBAYG4uvrS7169TA3N+err77i7bff5sSJExQtWjRTdXh7e7NkyRLttZmZWYblfXx8UiVgXbp0IS4ujsKFC2f9JHIxGxsbHB0d01y/bt06fH19tXWLFy+mRIkSqZIUgIiICGxtbfXWFS5cmNDQUBISEgDYu3cv7dq10yubPMQ2wJIlS1Jd9/z58wNJ7a5Dhw5s376dKVOm0LhxY+7fv8/cuXPx9PRkzZo1tG7dWtvP1taWiIgIlFKcO3eOPn360L59e/bt26eVcXBw4P79+5m8UkII8XJJz5UQeZlS8CQm80tdf3jr06RE6s8vktb9+UXS67c+Tdqe2bqUynSYz35D7+rqyqRJk+jWrRs2NjaUKFGCb7/9VttesmRJAKpXr45Op8PT01PbtmjRIsqXL4+5uTnu7u5888032rbkHq9Vq1bRsGFDzM3NWbFiBV26dKF169ZMnToVJycnChQogL+/f4ZDBet0OhYsWMC7776LpaUl5cuXJyQkhKioKDw9PbGysqJevXqcOXNGb7+4uDj++OMPLbl69rZAnU7HokWLaNOmDZaWlpQtW5YNGzZo8Tdq1AgAe3t7vR6DxMREAgICKFmyJBYWFlStWpWff/5Zqze5Z2Lz5s14eHhgZmbG7t278fT0pF+/fgwdOhQHBwccHR0ZO3ZsuuedfA1Xr15NgwYNsLCwoFatWkRGRhIaGkrNmjWxtramWbNm3LhxQ9tvxYoV9OnTh2rVquHu7s6iRYtITExkx44d6R7rWWZmZjg6OmqLvb19huUtLCz0yhsbG/Pnn3/SvXv3VGUXLFhA8eLFsbS05P333+fevXsZ1p2YmMjkyZMpU6YMZmZmlChRgokTJ+qVOXv2LI0aNcLS0pKqVasSEhKibbt16xa+vr4ULVoUS0tLKleuzE8//aRt79KlC0FBQcyaNUvrvTl//nwmrpI+Pz8/vvvuO+31o0ePWLlyJX5+fmmWL1y4sN41c3R0xMjIiEKFCmmvk78MSVk2uccMkhKpZ+swNzcHYPXq1fz88898//339OjRg5IlS1K1alW+/fZbWrZsSY8ePYiJidHq0ul0ODo64uTkRL169ejevTv79++XZEoIkWtJz5UQeVl8LExyfrF9d01JWtJ7/TyfXwFTqxc7NjBt2jQmTJjA559/zs8//8zHH39Mw4YNKVeuHPv376d27dps376dihUrYmpqCiR9gB89ejRff/011atX5/Dhw/Ts2RMrKyu9D5OfffYZ06ZNo3r16pibmxMYGMjOnTtxcnJi586dREVF4ePjQ7Vq1ejZs2e6MU6YMIHp06czffp0hg0bRseOHSlVqhTDhw+nRIkSdOvWjb59+7J582Ztnx07dlC0aFHc3d3TrXfcuHFMnjyZKVOmMGfOHDp16sSFCxcoXrw4v/zyi16vQXKPQUBAAD/88APz58+nbNmy7Nq1iw8++IBChQrRsGFDvXOfOnUqpUqV0pKTZcuWMWjQIPbt20dISAhdunShfv36NG3aNN0Yx4wZw8yZM7Xz7NixIzY2NsyaNUtLUEaPHs28efPS3D82Npb4+Pgs9VoGBgZSuHBh7O3t+d///scXX3yRpQmzv//+eywtLXnvvff01kdFRbF69Wp+++037t+/T/fu3enTpw8rVqxIt67hw4ezcOFCZsyYwZtvvkl0dDSnTp3SKzNixAimTp1K2bJlGTFiBL6+vkRFRWFiYkJcXBweHh4MGzYMW1tbNm3aROfOnSldujS1a9dm1qxZREZGUqlSJcaPHw+8WC9n586dmTJlChcvXqREiRL88ssvuLq6UqNGjSzXlR1+/PFH3NzcaNGiRaptgwcPZu3atWzbtk2v9yrZ9evXWbduHcbGxjL5rBAi15LkSgiRK73zzjv06dMHgGHDhjFjxgx27txJuXLltA+ZBQoU0LsVasyYMUybNo22bdsCST1cJ0+eZMGCBXrJ1YABA7Qyyezt7fn6668xNjbG3d2d5s2bs2PHjgyTq65du/L+++9rMdatW5dRo0bh5eUFQP/+/enatavePilvCUxPly5dtNu4Jk2axOzZs9m/fz/e3t56vQbJt1o9fvyYSZMmsX37durWrQtAqVKl2L17NwsWLNBLrsaPH58qaapSpQpjxowBoGzZsnz99dfs2LEjw+RqyJAheufp6+vLjh07qF+/PgDdu3dn6dKl6e4/bNgwnJ2dadKkSYbXIpm3tzdt27alZMmSnDlzhs8//5xmzZoREhKS6Q/aixcvpmPHjnq3sEFSb+L333+v3Z44Z84cmjdvzrRp09K81e7BgwfMmjWLr7/+WmtXpUuX1p6jSzZkyBCaN28OJCXMFStWJCoqCnd3d4oWLcqQIUO0sp988glbt25l9erV1K5dGzs7O0xNTbG0tEwzhswqXLgwzZo1Y+nSpYwePZrvvvuObt26pVu+WLFieq9dXFw4ceJElo7p6+ub6mdy8uRJSpQoQWRkJOXLl09zv+T1kZGR2rp79+5hbW2NUorY2FgA+vXrh5XVi39xI4QQL5MkV0LkZfksk3qQsmr3jKReKmNTSHiSdEvgmwOzfuz/oEqVKtq/k28NymgQgpiYGM6cOUP37t31EqKnT5/q3bIEULNmzVT7V6xYUe8DoZOTE8eOHct0jEWKFAGgcuXKeuvi4uK4f/8+tra2KKX47bffWL16dabrtbKywtbWNsNzj4qKIjY2NlUy9OTJE6pXr663Lq1zT3k8SDr35w34kJlzT6+OL7/8kpUrVxIYGKjdLvY8HTp00P5duXJlqlSpQunSpQkMDKRx48Y0a9aM4OBgIO2EICQkhPDwcJYvX56q7hIlSug991W3bl0SExOJiIjg9OnTNGvWTNu2YMECypYty+PHj2ncuHGGMae8Rk5OTkBS74u7uzsJCQlMmjSJ1atXc/nyZZ48ecLjx4+xtPxv75u0dOvWjf79+/PBBx8QEhLCmjVrtGv1rODgYGxsbLTXL/I84owZM1Ilzc7O//agqyzcMmxjY8OhQ4eIj49n8+bNrFixItXtl0IIkZtIciVEXqbTZf3WvKDJSYlVoxFJg1okD2ZhbKo/yMVL9uyHOp1OR2JiYrrlHz58CCSNSlenTh29bc9+i57Wt95ZPd6z+ySPvJbWuuR69u/fz9OnT6lXr16m681MLMnnvmnTplSDQzw76ENOnntadUydOpUvv/yS7du3p0rqsqJUqVIULFiQqKgoGjduzKJFi3j06FGa5wNJz+JVq1YNDw+PLB2nZs2aeqNSFilSJNPPPmXUFqZMmcKsWbOYOXMmlStXxsrKigEDBvDkyZMsxZcZzZo1o1evXnTv3p0WLVpkeCtlyZIltR7RF+Xo6EiZMmXS3Obm5kZ4eHia25LXu7m5aeuMjIy0usqXL8+ZM2f4+OOP00yShRAiN5DkSgjxr5SjAiYnUsn/T2sUQQNJfsYqefQySPrQ6+zszNmzZ+nUqZOhQsvQ+vXrad68+X96XiStc69QoQJmZmZcvHhR7xbA3Gby5MlMnDiRrVu3ptmDlhV///03t27d0nqEMhpx8OHDh6xevZqAgLSnErh48SJXrlzRelf++usvjIyMKFeuHBYWFqkShbJly2JhYcGOHTvo0aPHC8W/Z88eWrVqxQcffAAkJV2RkZFUqFBBK2Nqaqr3c35RJiYmfPjhh0yePFnv+T9D6NChAx07duS3335L9dzVtGnTKFCgQIa3o3722WeULl2agQMHGuy5MSGEyIgkV0KIfyUm6CdWyZJfJ/73D3rZoXDhwlhYWLBlyxaKFSuGubk5dnZ2jBs3jn79+mFnZ4e3tzePHz/mwIED3Llzh0GDBhk6bDZs2KANTvCiXFxc0Ol0bNy4kXfeeQcLCwtsbGwYMmQIAwcOJDExkTfffJN79+6xZ88ebG1t0x0ZLid99dVXjB49mh9//BFXV1euXr0KgLW1NdbW1hnu+/DhQ8aNG0e7du1wdHTkzJkzDB06lDJlymjPfWVk1apVPH36VEtknmVubo6fnx9Tp07l/v379OvXj/fffz/dZ53Mzc0ZNmwYQ4cOxdTUlPr163Pjxg1OnDiR5kiEaSlbtiw///wze/fuxd7enunTp3Pt2jW95MrV1ZV9+/Zx/vx5rK2tcXBwwMjoxQb5nTBhAp9++ulzBwC5fv16qnmxChQokKXbA+/evav9fJPZ2NhgZWVFhw4dWLNmDX5+fqmGYt+wYQNr1qzJ8Hmq4sWL06ZNG0aPHs3GjRszHZMQQuQUGYpdCPGvRsPT75lqODRpey5gYmLC7NmzWbBgAc7OzrRq1QqAHj16sGjRIpYsWULlypVp2LAhS5cu1YZuN6QzZ84QFRWVqWQgI0WLFmXcuHF89tlnFClShL59+wJJH55HjRpFQEAA5cuXx9vbm02bNuWKcweYN28eT5484b333sPJyUlbpk6d+tx9jY2NOXr0KC1btsTNzY3u3bvj4eFBcHDwc+e6gqSBLNq2bZvu7W5lypShbdu2vPPOO7z99ttUqVJFbwj/tIwaNYrBgwczevRoypcvj4+PT5YmJh45ciQ1atTAy8sLT09PHB0dU42QN2TIEIyNjalQoQKFChVKc16qzDI1NaVgwYJ6EwenpVy5cno/HycnJw4ePJilY3Xt2jVVHXPmzAHQhvH//PPPmTFjBuXKlaNBgwZcuHCBwMDANEcJfNbAgQPZtGmTTBwshMiVdCorT5YKIXKtuLg4zp07R8mSJTM9SIDIOdOnT2f79u38/vvvhg5F5DGurq4MGDBAb66418358+cpWbIkhw8fplq1aoYOR2RA/laJvE56roQQIgcUK1aM4cNzR8+fyHuGDRuGtbX1cyc/zouaNWtGxYoVDR2GEEIA8syVEELkiOT5sERqwcHBesOdPyt5NESRtqCgIOLj4wH0hlF/XaQcKbJEiRIGjkYI8bqT5EoIIYRBPTvcucgaFxcXQ4dgUBmNFCmEEDlNkishhBAGldZw50IIIcSrSJ65EkIIIYQQQohsIMmVEEIIIYQQQmQDSa6EEEIIIYQQIhtIciWEEEIIIYQQ2UCSKyGEEEIIIYTIBpJcCSFSSUhUhJy5xfqwy4ScuUVCojJ0SELkeq6uruh0OnQ6HXfv3jV0ODnO09NTO38ZWl8I8bqS5EoIoWfL8Wje/OpPfBf+Rf+VYfgu/Is3v/qTLcejX+pxL126RLdu3XB2dsbU1BQXFxf69+/PrVu3XupxM+vChQtYWFhoE9revn2bAQMG4OLigqmpKc7OznTr1o2LFy8aNM7z58/TvXt3SpYsiYWFBaVLl2bMmDE8efIkw/26dOmifTBOuVSsWDHdMgUKFMDb25ujR48+N6bs/MC9dOlS8ufPny11ZYanpycDBgzIVNnx48cTHR2NnZ0dAIGBgeh0Ouzt7YmLi9MrGxoaql3LZMnl01quXr2ql8CltXTp0gUg3e0rV67UjpWQkMCMGTOoXLky5ubm2Nvb06xZM/bs2aMX59KlS7X9jYyMcHJywsfHJ1VbX7t2Lfv378/sZRVCiDxJkishhGbL8Wg+/uEQ0ff0PwRevRfHxz8cemkJ1tmzZ6lZsyanT5/mp59+Iioqivnz57Njxw7q1q3L7du3X8pxs2L9+vU0atQIa2trbt++zRtvvMH27duZP38+UVFRrFy5kqioKGrVqsXZs2cNFuepU6dITExkwYIFnDhxghkzZjB//nw+//zzDPebNWsW0dHR2nLp0iUcHBxo3769Xjlvb2+tzI4dOzAxMeHdd999maf0wp6XUL4MNjY2ODo66iVMyevXrVunt27x4sWUKFEizXoiIiL0fh7R0dEULlyY0NBQ7fUvv/ySquysWbO0OpYsWZKqjtatWwOglKJDhw6MHz+e/v37Ex4eTmBgIMWLF8fT05Nff/1VLx5bW1uio6O5fPkyv/zyCxEREanahoODA4UKFXqRyyaEEHmHEkLkCY8ePVInT55Ujx490tYlJiaqmMfxmVruP3qiak/cplyGbUxzcR22UdWZuF3df/QkU/UlJiZmOnZvb29VrFgxFRsbq7c+OjpaWVpaqo8++kgppdScOXNUxYoVte3r1q1TgJo3b562rnHjxmrEiBHa619//VVVr15dmZmZqZIlS6qxY8eq+Ph4bTugFi5cqFq3bq0sLCxUmTJl1Pr161PF+L///U87zkcffaSsrKxUdHS0XpnY2FhVtGhR5e3trZRS6rffflN2dnbq6dOnSimlDh8+rAA1bNgwbZ/u3burTp06aa+Dg4PVm2++qczNzVWxYsXUJ598oh4+fKhtd3FxURMnTlRdu3ZV1tbWqnjx4mrBggUZXt/JkyerkiVLZljmWevWrVM6nU6dP39eW+fn56datWqlVy44OFgB6vr16+nWde7cOQWow4cPK6WU2rlzpwLU9u3blYeHh7KwsFB169ZVp06d0vYJCwtTnp6eytraWtnY2KgaNWqo0NBQbd+Uy5gxY7RrM378eNW5c2dlY2Oj/Pz8tPJ37tzR6k7+OZw7d05bt3v3btWwYUNlYWGh8ufPr95++211+/Zt5efnl+p4KfdLycXFRc2YMUNvXfLxR44cqZo0aaKtj42NVXZ2dmrUqFEq5Z/itOJNT0ZlAbVu3bp09125cqUC1IYNG1Jta9u2rSpQoIDW7pYsWaLs7Oz0ysyePVsB6t69e3rrn/1ZC/GstP5WCZGXmORcGieEyGmP4hOoMHprttSlgKv346g89o9MlT853gtL0+f/irl9+zZbt25l4sSJWFhY6G1zdHSkU6dOrFq1im+++YaGDRvSr18/bty4QaFChQgKCqJgwYIEBgby0UcfER8fT0hICJ999hkAwcHBfPjhh8yePZsGDRpw5swZevXqBcCYMWO044wbN47JkyczZcoU5syZQ6dOnbhw4QIODg4A3L17l927d7N8+XISExNZuXIlnTp1wtHRUS9eCwsL+vTpw8iRI7l9+zYNGjTgwYMHHD58mJo1a+rFmywoKIhhw4YBcObMGby9vfniiy/47rvvuHHjBn379qVv374sWbJE22fatGlMmDCBzz//nJ9//pmPP/6Yhg0bUq5cuTSv8b1797RzyazFixfTpEkTXFxc0i3z8OFDfvjhB8qUKUOBAgWyVD/AiBEjmDZtGoUKFeKjjz6iW7du2i1pnTp1onr16sybNw9jY2PCwsLIly8f9erVY+bMmYwePZqIiAgArK2ttTqnTp3K6NGjtZ/vpUuXnhtHWFgYjRs3plu3bsyaNQsTExN27txJQkICs2bNIjIykkqVKjF+/HiAF+qd6dy5M1OmTOHixYuUKFGCX375BVdXV2rUqJHlurLDjz/+iJubGy1atEi1bfDgwaxdu5Zt27ZpPV0pXb9+nXXr1mFsbIyxsXEORCuEEK8OuS1QCGFQp0+fRilF+fLl09xevnx57ty5w40bN6hUqRIODg4EBQUBSc+nDB48WHu9f/9+4uPjqVevHpCUNH322Wf4+flRqlQpmjZtyoQJE1iwYIHeMbp06YKvry9lypRh0qRJPHz4UO/Zkd9//50qVarg7OzMjRs3uHv3bobxKqWIiorCzs6OatWqaclUYGAgAwcO5PDhwzx8+JDLly8TFRVFw4YNAQgICKBTp04MGDCAsmXLUq9ePWbPns3333+v97zOO++8Q58+fShTpgzDhg2jYMGC7Ny5M814oqKimDNnDr17937ej0Jz5coVNm/eTI8ePVJt27hxI9bW1lhbW2NjY8OGDRtYtWoVRkZZ/3MyceJEGjZsSIUKFfjss8/Yu3evdp4XL16kSZMmuLu7U7ZsWdq3b0/VqlUxNTXFzs4OnU6Ho6Mjjo6OesnV//73PwYPHkzp0qUpXbp0puKYPHkyNWvW5JtvvqFq1apUrFiRvn37UrBgQezs7DA1NcXS0lI73oskFIULF6ZZs2YsXboUgO+++45u3bqlW75YsWLadba2ttZ79i2zfH199eqwtrbWnpOKjIzMsA0nl0l27949rK2tsbKyokiRIuzcuRN/f3+srKyyHJcQQuRl0nMlRB5mkc+Yk+O9MlV2/7nbdFkS+txyS7vWonbJ5/eCWOTL2gdQpTIekdDU1BSdTsdbb71FYGAgTZo04eTJk/Tp04fJkydz6tQpgoKCqFWrFpaWlgAcOXKEPXv2MHHiRK2ehIQE4uLiiI2N1cpVqVJF225lZYWtrS3Xr1/X1q1fv56WLVtmOV6Ahg0baklgcHAwAQEBrF69mt27d3P79m2cnZ0pW7asFu/Ro0dZsWKF3nESExM5d+6c9qE3ZbzJSUbKeJNdvnwZb29v2rdvT8+ePbX1KZORDz74gPnz5+vtt2zZMvLnz59mr0WjRo2YN28eAHfu3OGbb76hWbNm7N+/HxcXF5o1a0ZwcDAALi4unDhxIt1rlPI8nJycgKRekRIlSjBo0CB69OjB8uXLadKkCe3bt89UslSzZs3nlnlWWFhYqueHXoZu3brRv39/PvjgA0JCQlizZo12rZ4VHByMjY2N9jpfvnxZPt6MGTNo0qSJ3jpnZ2ft389rwynZ2Nhw6NAh4uPj2bx5MytWrNB7XwkhhEgiyZUQeZhOp8vUrXkADcoWwsnOnKv34kjrI5cOcLQzp0HZQhgb6dIo8WLKlCmDTqcjPDycNm3apNoeHh5OoUKFtNHhPD09+fbbbwkODqZ69erY2tpqCVdQUJDWCwRJt62NGzeOtm3bpqrX3Nxc+/ezH1x1Oh2JiYlA0qAIW7Zs0QaESI4lPDw8zfMJDw/HxMSEkiVLavF+9913HDlyhHz58uHu7o6npyeBgYHcuXMnVby9e/emX79+qepNOfBBRvEmu3LlCo0aNaJevXp8++23ettSjtpna2urt00pxXfffUfnzp21BDElKysrypQpo71etGgRdnZ2LFy4kC+++IJFixbx6NGjNON8VsrtyQNAJJ/H2LFj6dixI5s2bWLz5s2MGTOGlStXptlGno0vpeQetZSJRHx8vF6ZZ29HfVmaNWtGr1696N69Oy1atMjwVsqSJUv+5xERHR0d9X5WKbm5uWXYhpPLJDMyMtLqKl++PGfOnOHjjz9m+fLl/ylGIYTIa+S2QCEEAMZGOsa0qAAkJVIpJb8e06JCtiZWAAUKFKBp06Z888032ofyZFevXmXFihXa8NKQ1BN08uRJ1qxZg6enJ5CUwGzfvp09e/Zo6wBq1KhBREQEZcqUSbVk9ja2wMBA7O3tqVq1KpD0IfP999/nxx9/5OrVq3plHz16xDfffEObNm20obiTn7uaMWOGlkglJ1eBgYGp4j158mSa8aaV6KTn8uXLeHp64uHhwZIlS1Kda8p6CxcurLctKCiIqKgounfvnqljJQ/PnfyzK1q0qFZ3Rs9rZYabmxsDBw7kjz/+oG3bttpzZ6ampiQkJGSqjuTno6Kj/x3p8tkh4atUqcKOHTvSrSMrx8uIiYkJH374IYGBgRneEpgTOnTowOnTp/ntt99SbZs2bZr2vkzPZ599xqpVqzh06NDLDFMIIV45klwJITTelZyY90ENHO3M9dY72pkz74MaeFdyeinH/frrr3n8+DFeXl7s2rWLS5cusWXLFpo2bYqbmxujR4/WylapUgV7e3t+/PFHveTq119/5fHjx9SvX18rO3r0aL7//nvGjRvHiRMnCA8PZ+XKlYwcOTLTsW3YsCHVLYETJ07E0dGRpk2bsnnzZi5dusSuXbvw8vLCyMhIbzhse3t7qlSpwooVK7R433rrLQ4dOkRkZKRez9WwYcPYu3cvffv2JSwsjNOnT7N+/Xr69u2b6XiTE6sSJUowdepUbty4wdWrV1MlgulZvHgxderUoVKlSmluf/z4sVZfeHg4n3zyCQ8fPkxzYIQX9ejRI/r27UtgYCAXLlxgz549hIaGardFurq68vDhQ3bs2MHNmzeJjY1Nt64yZcpQvHhxxo4dy+nTp9m0aRPTpk3TKzN8+HBCQ0Pp06cPR48e5dSpU8ybN4+bN29qx9u3bx/nz5/n5s2bqXoJs2LChAncuHEDL6+Mb9e9fv26dp2Tl2d73J7n7t27qeqIiYkBkpKrNm3a4Ofnx+LFizl//jxHjx6ld+/ebNiwgUWLFmX4PFXx4sVp06aN3ntTCCEEMhS7EHlFdg5v+zQhUe2Nuql+Pfy32ht1Uz1NyPyw6i/q3Llzys/PTxUpUkTpdDoFqLZt26qYmJhUZVu1aqVMTEzUgwcPlFJKJSQkKHt7e/XGG2+kKrtlyxZVr149ZWFhoWxtbVXt2rXVt99+q20njSGr7ezs1JIlS5RSShUvXlxt27YtVb03btxQn3zyiSpevLgyNjZWgKpXr566detWqrL9+/dXgAoPD9fWVa1aVTk6OqYqu3//ftW0aVNlbW2trKysVJUqVdTEiRO17WkN9121alVtOPIlS5akGjo8eXmeu3fvKgsLC73rk9Kzw5Lb2NioWrVqqZ9//jnDetMbij294dEfP36sOnTooIoXL65MTU2Vs7Oz6tu3r17b/uijj1SBAgVSDcX+7LVRKmmY9cqVKytzc3PVoEEDtWbNmlRDqgcGBqp69eopMzMzlT9/fuXl5aXFFxERod544w1lYWHxwkOxpze0evJ0As+WT2sJCQnJdN3p1REQEKCViY+PV1OmTFEVK1ZUpqamytbWVnl5eandu3fr1ZXWUOxKKRUSEqIAtW/fPm2dDMUunkeGYhd5nU6pLDzRKoTIteLi4jh37hwlS5bUe57oVTVmzBimT5/Otm3beOONNwwSw6FDh/jf//7HjRs3nvv80OLFi+nTpw+rVq1KcyAIkfe5uroyYMAABgwYYOhQDOb8+fOULFmSw4cPU61aNUOHI3KhvPa3SohnyW2BQohcady4ccyePZu//vrrP92G9V88ffqUOXPmZGqktu7du7Ny5UrCw8NTPTsmXh/Dhg3D2tqae/fuGTqUHNesWbMXGjJeCCHyEum5EiKPkG8DhTCsCxcuaM9FlSpV6oXm/nqVXb58WftioUSJElkahEW8PuRvlcjrZCh2IYQQIhv819ERX3VFixY1dAhCCGFwr9fXakIIIYQQQgjxkkhyJYQQQgghhBDZQJIrIYQQQgghhMgGklwJIYQQQgghRDaQ5EoIIYQQQgghsoEkV0KIXK1Lly4Gn5Q3MDAQnU7H3bt30y0zduzY13bSVEOee25oH6+S160tnz9/Hp1OR1hYWI4cz9XVFZ1O99xrnFd5enpq559T11yI3EaSKyGEJv7KFR6dOJHuEn/liqFDzLWGDBnCjh07DB3GC3v06BFWVlZERUWxdOlSdDod5cuXT1VuzZo16HQ6XF1dtXVZOXdDfHBP/rD37DJlypQ0y5iYmFCiRAkGDRrE48eP//Px586di6urK+bm5tSpU4f9+/dnWH7t2rXUrFmT/PnzY2VlRbVq1Vi+fHmmjnX48GHat29PkSJFMDc3p2zZsvTs2ZPIyMhMx/sqteWoqCi6du1KsWLFMDMzo2TJkvj6+nLgwIFsPY6npycDBgzIVNnx48cTHR2NnZ0d8G9Ca29vT1xcnF7Z0NBQrd0lSy6f1nL16lW9BC6tpUuXLkD67X7lypXasRISEpgxYwaVK1fG3Nwce3t7mjVrxp49e/TiTP6doNPpMDIywsnJCR8fHy5evKhXbu3atc9t30LkdTLPlRACSEqszng3Qz15km4ZnakppbdsJp+zcw5G9mqwtrbG2tra0GG8sG3btuHi4kKZMmXYvXs3VlZWXL9+nZCQEOrWrauVW7x4MSVKlNDb92Wce3x8PPny5cuWuqKjo/Veb968me7du9OuXTu99UuWLMHb25v4+HiOHDlC165dsbKyYsKECS987FWrVjFo0CDmz59PnTp1mDlzJl5eXkRERFC4cOE093FwcGDEiBG4u7tjamrKxo0b6dq1K4ULF8bLyyvdY23cuJF27drh5eXFihUrKF26NNevX2fNmjWMGjWKVatWZSrmV6UtHzhwgMaNG1OpUiUWLFiAu7s7Dx48YP369QwePJigoCCDxGVjY4Ojo2Oa69etW4evr6+2Lvn99GySAhAREYGtra3eusKFCxMaGkpCQgIAe/fupV27dnplLSwstPLJbTql/PnzA6CUokOHDmzfvp0pU6bQuHFj7t+/z9y5c/H09GTNmjV6vcK2trZERESglOLcuXP06dOH9u3bs2/fPq2Mg4MD9+/fz+SVEiKPUkKIPOHRo0fq5MmT6tGjRy+0f+zx4+pkOffnLrHHj2dz5EqtWbNGVapUSZmbmysHBwfVuHFj9fDhQ6WUUn5+fqpVq1ZqypQpytHRUTk4OKg+ffqoJ0+eaPvHxcWpwYMHK2dnZ2Vpaalq166tdu7cqW1fsmSJsrOzU1u2bFHu7u7KyspKeXl5qStXrmhlgFSLi4uLUkqpnTt3KkBt375deXh4KAsLC1W3bl116tQpbf8xY8aoqlWrpnuOv/32m7Kzs1NPnz5VSil1+PBhBahhw4ZpZbp37646deqklFLq5s2bqkOHDsrZ2VlZWFioSpUqqR9//FGvzoYNG6pPPvlEffrpp8re3l4VKVJEjRkzRq9MeHi4ql+/vjIzM1Ply5dX27ZtU4Bat26dXrlu3bppsSRfr759+6oePXpoZS5duqTMzMzUZ599pl2btM59586dqlatWsrS0lLZ2dmpevXqqfPnz6slS5akusZLlizRrv8333yjWrRooSwtLdWYMWPU06dPVbdu3ZSrq6syNzdXbm5uaubMmXpxJ7ePrGjVqpX63//+p7curWvSvXt39c4776Rbj6+vr3r//ff11j158kQVKFBALVu2TCmlVO3atZW/v7+2PSEhQTk7O6uAgIAsxVy9enU1cuTIdLfHxMSoggULqtatW6e5/c6dO0qpF2vL2fEePH/+vHr33XdV/vz5laWlpapQoYLatGmTtv3YsWPK29tbWVlZqcKFC6sPPvhA3bhxI93zTUxMVBUrVlQeHh4qISEh3fM9d+6cAtQvv/yiPD09lYWFhapSpYrau3evVvZ57zU/P79U7fbcuXNpxuXi4qJmzJihty75mo8cOVI1adJEWx8bG6vs7OzUqFGjVMqPY8nlk88hIxmVTatNp7Ry5UoFqA0bNqTa1rZtW1WgQAHt93Dy74SUZs+erQB17949vfXJ1/zw4cNpHve//q0SIreT2wKFyMOUUiTGxmZqUc/crpJunXFxmatPqUzVFx0dja+vL926dSM8PJzAwEDatm2rt//OnTs5c+YMO3fuZNmyZSxdupSlS5dq2/v27UtISAgrV67k6NGjtG/fHm9vb06fPq2ViY2NZerUqSxfvpxdu3Zx8eJFhgwZohdH8hIVFUWZMmV466239GIdMWIE06ZN48CBA5iYmNCtW7dMnSNAgwYNePDgAYcPHwYgKCiIggULEhgYqJUJCgrC09MTgLi4ODw8PNi0aRPHjx+nV69edO7cOdUtN8uWLcPKyop9+/YxefJkxo8fz7Zt24CkW35at26NpaUl+/bt49tvv2XEiBGpYktMTGTjxo20atVKb323bt1YvXo1sbGxQNKtQd7e3hQpUiTd83z69CmtW7emYcOGHD16lJCQEHr16oVOp8PHx4fBgwdTsWJF7Vr7+Pho+44dO5Y2bdpw7NgxunXrRmJiIsWKFWPNmjWcPHmS0aNH8/nnn7N69epMX/dnXbt2jU2bNtG9e/cMy0VGRvLnn39Sp06ddMt06tSJ3377jYcPH2rrtm7dSmxsLG3atOHJkyccPHiQJk2aaNuNjIxo0qQJISEhmYpXKcWOHTuIiIhI1R5T2rp1Kzdv3mTo0KFpbk/urUiW1bb8X9+D/v7+PH78mF27dnHs2DG++uorrXfs7t27/O9//6N69eocOHCALVu2cO3aNd5///104wkLC+PEiRMMHjwYI6PUH2XSOt8hQ4YQFhaGm5sbvr6+PH36FHj+e23WrFnUrVuXnj17au22ePHiGV6vtHTu3Jng4GCtl+qXX37B1dWVGjVqZLmu7PDjjz/i5uZGixYtUm0bPHgwt27d0n6XPOv69eusW7cOY2NjjI2NX3aoQrxaDJvbCSGyS1rfBibExGSqN+plLAkxMZmK++DBgwpQ58+fT3O7n5+fcnFx0Xp8lFKqffv2ysfHRyml1IULF5SxsbG6fPmy3n6NGzdWw4cPV0oprcckKipK2z537lxVpEiRVMdLTExUbdq0UR4eHio2NlYppf9tf7JNmzYpQLvez+u5UkqpGjVqqClTpiillGrdurWaOHGiMjU1VQ8ePFB///23AlRkZGS6+zdv3lwNHjxYe92wYUP15ptv6pWpVauW1gO1efNmZWJioqKjo7XtafVc7dmzRxUuXFjrAUj5LXW1atXUsmXLVGJioipdurRav369mjFjRro9V7du3VKACgwMTPMc0rtOgBowYEC6557M399ftWvXTnud1Z6rr776Stnb26f61hxQ5ubmysrKSpmZmSlAvfvuu3q9M8+Kj49XBQsWVN9//722ztfXV2ubly9fVoBeL4lSSn366aeqdu3aGcZ59+5dZWVlpUxMTJSZmZlavHjxc88LULdv386w3Iu05ex4D1auXFmNHTs2zZgmTJig3n77bb11ly5dUoCKiIhIc59Vq1YpQB06dCjD803uRVm0aJG27sSJEwpQ4eHh6e6X1nutf//+GR5LqYx7ru7cuaNat26txo0bp5RSqlGjRmrWrFlq3bp1afZcWVlZ6S0VKlRIdbzn9Vwlt+mUy4ULF5RSSrm7u6f73rl9+7YC1FdffaWU+vd3qJWVlbK0tNR68Pr165dqX+m5Eq876bkSQhhU1apVady4MZUrV6Z9+/YsXLiQO3fu6JWpWLGi3rejTk5OXL9+HYBjx46RkJCAm5ub9qyItbU1QUFBnDlzRtvH0tKS0qVLp1lHSp9//jkhISGsX79e79kFgCpVqujtD6RZR3BwsF4sK1asAKBhw4YEBgailCI4OJi2bdtSvnx5du/eTVBQEM7OzpQtWxZI6nWaMGEClStXxsHBAWtra7Zu3Zrq2YyUMT17XhERERQvXlzv+Y/atWuninf9+vW8++67afYAdOvWjSVLlhAUFERMTAzvvPNOqjIpOTg40KVLF7y8vGjRogWzZs1K9cxTemrWrJlq3dy5c/Hw8KBQoUJYW1vz7bffpvl8CsCKFSv0rntwcHCqMt999x2dOnXC3Nw81bYZM2YQFhbGkSNH2LhxI5GRkXTu3BmAixcv6tU9adIkTExMeP/997Wfb0xMDOvXr6dTp06ZOt+M2NjYEBYWRmhoKBMnTmTQoEFaL+ekSZP0Yrl48WKme4qTZbYtJ/uv78F+/frxxRdfUL9+fcaMGcPRo0e1uo4cOcLOnTv19nV3dwfgzJkzaf5cs/N8M/teyw7dunVj6dKlnD17lpCQkAzbSnBwMGFhYdry+++/Z/l4yW065eKc4pnZrFzH5DZ54MABpk2bRo0aNZg4cWKWYxIir5MBLYTIw3QWFpQ7dDBTZePCw7nQ6YPnlnNZ8QPmaYwil9axM8PY2Jht27axd+9e/vjjD+bMmcOIESPYt28fJUuWBEg1sIFOpyMxMRGAhw8fYmxszMGDB1PdnpLyofy06nj2g8UPP/zAjBkzCAwMpGjRoqliTVlH8uheyXGkVLNmTb1hiJNvo/P09OS7777jyJEj5MuXD3d3dzw9PQkMDOTOnTs0bNhQ22fKlCnMmjWLmTNnUrlyZaysrBgwYABPnhlwJKNrk1kbNmzgyy+/THNbp06dGDp0KGPHjqVz586YmDz/z8aSJUvo168fW7ZsYdWqVYwcOZJt27bxxhtvZLiflZWV3uuVK1cyZMgQpk2bRt26dbGxsWHKlCl6D9Cn1LJlS73b+J79GQYHBxMREZHuwA6Ojo6UKVMGgHLlyvHgwQN8fX354osvcHV11fuZOjg4AEnXp2HDhly/fp1t27ZhYWGhDSBQsGBBjI2NuXbtmt5xrl27luaABykZGRlpsVSrVo3w8HACAgLw9PTko48+0rtlztnZGTc3NwBOnTqlNwBJejLbltMqn7xPVt6DPXr0wMvLi02bNvHHH38QEBDAtGnT+OSTT3j48CEtWrTgq6++SnVcJycnEhMTU/1cT506pZ1v9erV/9P5Zva9lh2aNWtGr1696N69Oy1atKBAgQLpli1ZsmSq2xuzKmWbfpabmxvh4eFpbkten9yuQL9Nli9fnjNnzvDxxx9neiRLIV4XklwJkYfpdDp0lpaZK5vGN/nplTPKZJ2ZpdPpqF+/PvXr12f06NG4uLiwbt06Bg0a9Nx9q1evTkJCAtevX6dBgwYvHENISAg9evRgwYIFz00CnsfCwiLNDzTJz13NmDFDS6Q8PT358ssvuXPnDoMHD9bK7tmzh1atWvHBB0kJb2JiIpGRkVSoUCHTcZQrV45Lly5x7do1LcELDQ3VK3P69GkuXLhA06ZN06zDwcGBli1bsnr1aubPn5/pY1evXp3q1aszfPhw6taty48//sgbb7yBqampNtLZ8+zZs4d69erRp08fbV3K3shn2djYYGNjk+72xYsX4+HhQdWqVTN1/ORE4dGjR5iYmKT5M61Xrx7Fixdn1apVbN68mfbt22sf5E1NTfHw8GDHjh3aqGuJiYns2LGDvn37ZiqGZImJidqw8A4ODlpyl+ztt9+mYMGCTJ48mXXr1qXa/+7du//5g3p6MvseLF68OB999BEfffQRw4cPZ+HChXzyySfUqFFDe/4oveT92Z9rtWrVqFChAtOmTcPHxydVr2tWzjcz77WstNuMmJiY8OGHHzJ58mQ2b978n+v7Lzp06EDHjh357bffUj13NW3aNAoUKJDu7wWAzz77jNKlSzNw4ECDPTcmRG4ktwUKIQxq3759TJo0iQMHDnDx4kXWrl3LjRs30pxjKS1ubm506tSJDz/8kLVr13Lu3Dn2799PQEAAmzZtylQdV69epU2bNnTo0AEvLy+uXr3K1atXuXHjxn85tVTs7e2pUqUKK1as0AaueOuttzh06BCRkZF6PVdly5bVevTCw8Pp3bt3qh6Q52natCmlS5fGz8+Po0ePsmfPHkaOHAn8++39+vXradKkCZYZJMxLly7l5s2b2q1aGTl37hzDhw8nJCSECxcu8Mcff3D69Gnt5+nq6sq5c+cICwvj5s2bGc4jVbZsWQ4cOMDWrVuJjIxk1KhRqZLDzLp//z5r1qyhR48e6Za5e/cuV69e5cqVKwQFBTF+/Hjc3Nye2xY7duzI/Pnz2bZtW6rbvAYNGsTChQtZtmwZ4eHhfPzxx8TExNC1a1etzIcffsjw4cO11wEBAWzbto2zZ88SHh7OtGnTWL58ufbhPy1WVlYsWrSITZs20bJlS7Zv38758+c5cOAAQ4cO5aOPPnreJXphmXkPDhgwgK1bt3Lu3DkOHTrEzp07tevq7+/P7du38fX1JTQ0lDNnzrB161a6du2abkKj0+lYsmQJkZGRNGjQgN9//52zZ89y9OhRJk6cmGpwloxk5r3m6urKvn37OH/+PDdv3sxy73BKEyZM4MaNGxkOqw9Jty0m/y5KXuLj47N0rOQ2nXKJiYkBkpKrNm3a4Ofnx+LFizl//jxHjx6ld+/ebNiwgUWLFqXqTU6pePHitGnThtGjR2cpJiHyOkmuhBAAmNjbozM1zbCMztQUE3v7bD2ura0tu3bt4p133sHNzY2RI0cybdo0mjVrluk6lixZwocffsjgwYMpV64crVu3JjQ0NNV8TOk5deoU165dY9myZTg5OWlLrVq1XvS00tWwYUMSEhK05MrBwYEKFSrg6OhIuXLltHIjR46kRo0aeHl54enpiaOjo96cM5lhbGzMr7/+ysOHD6lVqxY9evTQRgtMfuZo/fr1tGzZMsN6LCwsMrx9KSVLS0tOnTpFu3btcHNzo1evXvj7+9O7d28A2rVrh7e3N40aNaJQoUL89NNP6dbVu3dv2rZti4+PD3Xq1OHWrVt6vVhZsXLlSpRSenMMPatr1644OTlRrFgxfH19qVixIps3b37urZCdOnXi5MmTFC1alPr16+tt8/HxYerUqYwePZpq1aoRFhbGli1b9EZcvHjxot5zaTExMfTp04eKFStSv359fvnlF3744YcME0OAVq1asXfvXvLly0fHjh1xd3fH19eXe/fu8cUXX2S473/1vPdgQkIC/v7+lC9fHm9vb9zc3Pjmm2+ApNsa9+zZQ0JCAm+//TaVK1dmwIAB5M+fP83nAJPVrl2bAwcOUKZMGXr27En58uVp2bIlJ06cYObMmZmOPTPvtSFDhmBsbEyFChUoVKjQf3oey9TUlIIFC+pNHJyWcuXK6f0+cnJy4uDBzN3mnSy5Tadc5syZAyQlqKtXr+bzzz9nxowZlCtXjgYNGnDhwgUCAwMz9ftm4MCBbNq0SSYOFiIFncrqU6FCiFwpLi6Oc+fOUbJkyTQf1s+M+CtXePrMYBIpmdjbywTCr7g9e/bw5ptvEhUVhZ2dHU5OTvz9998ZDq8uhMgcV1dXBgwYwIABAwwdisGcP3+ekiVLcvjwYapVq5Zqe3b8rRIiN5NnroQQmnzOzpI85THr1q3D2tqasmXLEhUVRf/+/alfvz6lS5cmMjKS6dOnS2IlRDYaNmwYI0eO5PLly9jZ2Rk6nBzVrFkzdu3aZegwhDAoSa6EECIPe/DgAcOGDePixYsULFiQJk2aMG3aNCDpWZmUo4EJIf6boKAg7bmojAZXyasWLVrEo0ePADJ9W7YQeY3cFihEHiG3WgghhMjt5G+VyOtkQAshhBBCCCGEyAaSXAkhhBBCCCFENpDkSgghhBBCCCGygSRXQgghhBBCCJENJLkSQgghhBBCiGwgyZUQQgghhBBCZANJroQQuVqXLl1o3bq1QWMIDAxEp9Nx9+7ddMuMHTuWatWq5VhMhuTp6cmAAQMMHcZr5/z58+h0OsLCwtIts3TpUvLnz59jMb1sOp2OX3/9NUeO5enpiU6ne+41zqu6dOminX9OXXMh8iJJroQQIhsMGTKEHTt2GDqMF/bo0SOsrKyIiop6pT6gt2zZkhIlSmBubo6TkxOdO3fmypUrGe7z7bff4unpia2t7XOT5pRCQ0Np3Lgx+fPnx97eHi8vL44cOaJtT07CkxcLCwsqVqzIt99+m6n6o6Ki6Nq1K8WKFcPMzIySJUvi6+vLgQMHMrU/gI+PD5GRkZkub0hXr17lk08+oVSpUpiZmVG8eHFatGiR7e+jrHxB07NnT6Kjo6lUqRLwb0JrbGzM5cuX9cpGR0djYmKCTqfj/PnzeuXTWv766y+9BC6txdPTEwBXV9c0t3/55Zd6MSxbtoxatWphaWmJjY0NDRs2ZOPGjXplnm2XhQoV4p133uHYsWN65WbNmkV0dHQmr6oQIj2SXAkh0hRyJYRWv7Yi5EqIoUN5JVhbW1OgQAFDh/HCtm3bhouLC2XKlDF0KFnSqFEjVq9eTUREBL/88gtnzpzhvffey3Cf2NhYvL29+fzzzzN9nIcPH+Lt7U2JEiXYt28fu3fvxsbGBi8vL+Lj4/XKRkREEB0dzcmTJ+nduzcff/zxcxOGAwcO4OHhQWRkJAsWLODkyZOsW7cOd3d3Bg8enOk4LSwsKFy4cKbLG8r58+fx8PDgzz//ZMqUKRw7dowtW7bQqFEj/P39DRaXpaUljo6OmJiY6K0vWrQo33//vd66ZcuWUbRo0TTr2b59O9HR0XqLh4cHa9eu1V7v378/Vdm1a9dqdYwfPz5VHZ988om2fciQIfTu3RsfHx+OHj3K/v37efPNN2nVqhVff/11qpiS2+XWrVt5/PgxzZs358mTJ9p2Ozs7HB0ds37RhBD6lBAiT3j06JE6efKkevTo0X+uKzExUfn85qMqLa2kfH7zUYmJidkQYfrWrFmjKlWqpMzNzZWDg4Nq3LixevjwoVJKKT8/P9WqVSs1ZcoU5ejoqBwcHFSfPn3UkydPtP3j4uLU4MGDlbOzs7K0tFS1a9dWO3fu1LYvWbJE2dnZqS1btih3d3dlZWWlvLy81JUrV7QyQKrFxcVFKaXUzp07FaC2b9+uPDw8lIWFhapbt646deqUtv+YMWNU1apV0z3H3377TdnZ2amnT58qpZQ6fPiwAtSwYcO0Mt27d1edOnVSSil18+ZN1aFDB+Xs7KwsLCxUpUqV1I8//qhXZ8OGDdUnn3yiPv30U2Vvb6+KFCmixowZo1cmPDxc1a9fX5mZmany5curbdu2KUCtW7dOr1y3bt20WJKvV3oaNmyo+vfvr73+/vvvlYeHh7K2tlZFihRRvr6+6tq1a9r25Ou3ZcsWVa1aNWVubq4aNWqkrl27pn7//Xfl7u6ubGxslK+vr4qJidH227x5s6pfv76ys7NTDg4Oqnnz5ioqKirduJRSav369Uqn0+m1j/Qkx3Xnzp3nlg0NDVWAunjxorbu6NGjClCnT5/OsL7SpUuryZMnp1t3YmKiqlixovLw8FAJCQmptifXd+7cOQWoX375RXl6eioLCwtVpUoVtXfvXq3ssz+75Hb5/fffKxcXF2Vra6t8fHzU/fv3tTIJCQlq0qRJytXVVZmbm6sqVaqoNWvWaNtv376tOnbsqAoWLKjMzc1VmTJl1Hfffadtv3jxomrfvr2ys7NT9vb2qmXLlurcuXMZXs9mzZqpokWLau/ztM5XqaT35cKFC1Xr1q2VhYWFKlOmjFq/fr22/enTp6pbt25a7G5ubmrmzJl65//s+zrl74aUnm3XSv17zUeOHKnKli2rt83NzU2NGjVKAdr5Jpc/fPhwhuf/vLIuLi5qxowZ6e4bEhKiADV79uxU2wYNGqTy5cuntdW02uWGDRsUoI4cOZJq/7R+P2Sn7PxbJURuJD1XQuRhSili42OzvOy8uJMTt04AcOLWCXZe3JnlOpRSmYoxOjoaX19funXrRnh4OIGBgbRt21Zv/507d3LmzBl27tzJsmXLWLp0KUuXLtW29+3bl5CQEFauXMnRo0dp37493t7enD59WisTGxvL1KlTWb58Obt27eLixYsMGTJEL47kJSoqijJlyvDWW2/pxTpixAimTZvGgQMHMDExoVu3bpn+WTRo0IAHDx5w+PBhAIKCgihYsCCBgYFamaCgIO22oLi4ODw8PNi0aRPHjx+nV69edO7cWfu2O9myZcuwsrJi3759TJ48mfHjx7Nt2zYAEhISaN26NZaWluzbt49vv/2WESNGpIotMTGRjRs30qpVq0yfT0rx8fFMmDCBI0eO8Ouvv3L+/Hm6dOmSqtzYsWP5+uuv2bt3L5cuXeL9999n5syZ/Pjjj2zatIk//viDOXPmaOVjYmIYNGgQBw4cYMeOHRgZGdGmTRsSExPTjOP27dusWLGCevXqkS9fvhc6l/SUK1eOAgUKsHjxYp48ecKjR49YvHgx5cuXx9XVNc19lFJs2bKFixcvUqdOnXTrDgsL48SJEwwePBgjo9R/lp+9RXPEiBEMGTKEsLAw3Nzc8PX15enTp+nWf+bMGX799Vc2btzIxo0bCQoK0ru9LCAggO+//5758+dz4sQJBg4cyAcffEBQUBAAo0aN4uTJk2zevJnw8HDmzZtHwYIFgaSfvZeXFzY2NgQHB7Nnzx6sra3x9vbW6xVJ6fbt22zZsgV/f3+srKyee77jxo3j/fff5+jRo7zzzjt06tSJ27dvA0ltt1ixYqxZs4aTJ08yevRoPv/8c1avXg0k9e68//77eHt7a+/vevXqpXut0tOyZUvu3LnD7t27Adi9ezd37tyhRYsWWa4rO/z0009YW1vTu3fvVNsGDx5MfHw8v/zyS5r73rt3j5UrVwJgamr6UuMU4rVk2NxOCJFd0vo2MOZJjKq0tJJBlpgnMRlE+6+DBw8qQJ0/fz7N7X5+fsrFxUXr8VFKqfbt2ysfHx+llFIXLlxQxsbG6vLly3r7NW7cWA0fPlwplfRtPqDX6zF37lxVpEiRVMdLTExUbdq0UR4eHio2NlYppd9zlWzTpk0K0K7383qulFKqRo0aasqUKUoppVq3bq0mTpyoTE1N1YMHD9Tff/+tABUZGZnu/s2bN1eDBw/WXjds2FC9+eabemVq1aql9UBt3rxZmZiYqOjoaG17Wj1Xe/bsUYULF9Z6TbLac/Ws5F6eBw8eKKXSvn4BAQEKUGfOnNHW9e7dW3l5eaVb740bNxSgjh07prd+6NChytLSUgHqjTfeUDdv3ky3jpSy0nOllFLHjh1TpUuXVkZGRsrIyEiVK1dOr90m12dlZaWsrKyUiYmJMjIyUl988UWG9a5atUoB6tChQxmWS+7pWLRokbbuxIkTClDh4eFKqbR7riwtLfV6qj799FNVp04dpVRSr6+lpaVe75dSSb2ovr6+SimlWrRoobp27ZpmTMuXL1flypXT691+/PixsrCwUFu3bk1zn3379ilArV27NsPzVUppvUbJHj58qAC1efPmdPfx9/dX7dq1014n934/T0Y9V4cPH1YDBgzQrkPXrl3VwIEDtR7oZ3uuLCwstHaQvDzreT1XpqamqerYtWuXUkopb2/vDH/f2Nraqo8//lgplbpd8k8PXsuWNB5c3wAADNFJREFULdPc99nfD9lNeq5EXic9V0IIg6patSqNGzemcuXKtG/fnoULF3Lnzh29MhUrVsTY2Fh77eTkxPXr1wE4duwYCQkJuLm5YW1trS1BQUGcOXNG28fS0pLSpUunWUdKn3/+OSEhIaxfvx4LCwu9bVWqVNHbH0izjuDgYL1YVqxYAUDDhg0JDAxEKUVwcDBt27alfPny7N69m6CgIJydnSlbtiyQ1Os0YcIEKleujIODA9bW1mzdupWLFy+mG9Oz5xUREUHx4sX1nqOoXbt2qnjXr1/Pu+++m2avSWYcPHiQFi1aUKJECe2heiDDWIsUKYKlpSWlSpXSW5fyep4+fRpfX19KlSqFra2t1kP0bL2ffvophw8f5o8//sDY2JgPP/ww0z2naWnWrJn2s6tYsSKQNOBH9+7dqV+/Pn/99Rd79uyhUqVKNG/enEePHuntHxwcTFhYGGFhYSxatIhJkyYxb948AFasWKHXNoKDg7Mca2bbYTJXV1dsbGz09kkuHxUVRWxsLE2bNtWL6/vvv9fePx9//DErV66kWrVqDB06lL1792p1HTlyhKioKGxsbLR9HRwciIuL48yZM2m+F/7L+VpZWWFra6t3vnPnzsXDw4NChQphbW3Nt99+m6qNZIdu3bqxZs0arl69ypo1azLsuV61apXWBpKXrPr0009T1VGzZk1te1avY3BwMAcPHmTp0qW4ubkxf/78LMckhHg+k+cXEUK8qixMLNjXcV+myyul6Lq1KxF3IkhU/956ZaQzopx9OZZ4LUGn02X62JlhbGzMtm3b2Lt3r3Zb2IgRI9i3bx8lS5YESHWLl06n024Ne/jwIcbGxhw8eFAvAYOkQSaSpVXHsx9OfvjhB2bMmEFgYGCaD6qnrCP5OqR1i1rNmjX1PkwVKVIESBrq+bvvvuPIkSPky5cPd3d3PD09CQwM5M6dO1pSAjBlyhRmzZrFzJkzqVy5MlZWVgwYMCDVrVYZXZvM2rBhQ6pRyDIrJiYGLy8vvLy8WLFiBYUKFeLixYt4eXllGKtOp3tu7C1atMDFxYWFCxfi7OxMYmIilSpVSlVvwYIFKViwIG5ubpQvX57ixYvz119/Ubdu3Rc6p0WLFmkJU3KMP/74I+fPnyckJERLQn/88Ufs7e1Zv349HTp00PYvWbKkdmtbxYoV2bdvHxMnTuTjjz+mZcuWercIFi1alFOnTgFw6tQpqlev/tz4MtsO0yqfvE/K9w/Apk2bUrV5MzMzICnZvHDhAr///jvbtm2jcePG+Pv7M3XqVB4+fIiHh4f2BUJKhQoVwtTUNNV7IT4+Hp1Op513Vs732fhXrlzJkCFDmDZtGnXr1sXGxoYpU6awb1/mf+9lVuXKlXF3d8fX15fy5ctTqVKldJOm4sWL/+fBYQoWLJhuHW5ubuzevZsnT56kurXvypUr3L9/Hzc3N731ye2yXLlyXL9+HR8fH3bt2vWfYhRCpCbJlRB5mE6nwzKfZabL77m8h/Db4anWJ6pEwm+HE3YjjPpF62dniEBSnPXr16d+/fqMHj0aFxcX1q1bx6BBg567b/Xq1UlISOD69es0aNDghWMICQmhR48eLFiwgDfeeOOF64GkEdvS+lCU/NzVjBkztETK09OTL7/8kjt37uiNCrdnzx5atWrFBx98ACR9eI6MjKRChQqZjqNcuXJcunSJa9euaQleaGioXpnTp09z4cIFmjZtmuXzhKSE4NatW3z55ZcUL14cIEtDh6fn1q1bREREsHDhQu3nmvy8S0aSP3Q/fvz4hY+dVmIdGxuLkZGR3pcLya+fl8waGxtryZqNjY1eLxJAtWrVqFChAtOmTcPHxydVD+Ldu3df2tD4FSpUwMzMjIsXL+ol988qVKgQfn5++Pn50aBBAz799FOmTp1KjRo1WLVqFYULF8bW1jbNfdN6L3h5eTF37lz69euX6rmrrJzvnj17qFevHn369NHWpeyxhqTnihISEjJV3/N069aNPn36aD2RhtKhQwdmz57NggUL9EYQBJg6dSr58uWjXbt26e7v7+9PQEAA69ato02bNi87XCFeK3JboBACSOq1mnN4DjrS7pnSoWPO4Tn/6XartOzbt49JkyZx4MABLl68yNq1a7lx4wbly5fP1P5ubm506tSJDz/8kLVr13Lu3Dn2799PQEAAmzZtylQdV69epU2bNnTo0AEvLy+uXr3K1atXuXHjxn85tVTs7e2pUqUKK1as0AaueOuttzh06BCRkZF6H27Lli2r9eiFh4fTu3dvrl27lqXjNW3alNKlS+Pn58fRo0fZs2cPI0eOBP7t8Vi/fj1NmjTB0lI/CU9ISEh1S1J4eOrEu0SJEpiamjJnzhzOnj3Lhg0bmDBhQpbiTIu9vT0FChTg22+/JSoqij///DNVsr1v3z6+/vprwsLCuHDhAn/++Se+vr6ULl1a67W6fPky7u7uegOBXL16lbCwMKKiooCkW0vDwsK0QRLS0rRpU+7cuYO/vz/h4eGcOHGCrl27YmJiQqNGjfTKXr9+natXr3LhwgXWrFnD8uXLMxwsRKfTsWTJEiIjI2nQoAG///47Z8+e5ejRo0ycOPGFBxrJDBsbG4YMGcLAgQNZtmwZZ86c4dChQ8yZM4dly5YBMHr0aNavX09UVBQnTpxg48aN2vuzU6dOFCxYkFatWhEcHMy5c+cIDAykX79+/P333+ked+7cuSQkJFC7dm1++eUXTp8+TXh4OLNnz85Sj2PZsmU5cOAAW7duJTIyklGjRqX6AsHV1ZWjR48SERHBzZs3Uw2dnxU9e/bkxo0b9OjRI8Nyt27d0n6PJC9xcXFZOtaDBw9S1XH//n0A6tatS//+/fn000+ZNm0aZ86c4dSpU4wcOZJZs2Yxbdo07cuOtFhaWtKzZ0/GjBmT7b/ThXjdSXIlhAAgPjGeqzFXUaT9h1ahuBpzlfjEF/9gkhZbW1t27drFO++8g5ubGyNHjmTatGk0a9Ys03UsWbKEDz/8kMGDB1OuXDlat25NaGgoJUqUyNT+p06d4tq1ayxbtgwnJydtqVWr1oueVroaNmxIQkKCllw5ODhQoUIFHB0dKVeunFZu5MiR1KhRAy8vLzw9PXF0dMz0RKjJjI2N+fXXX3n48CG1atWiR48e2miB5ubmQFJy1bJly1T7Pnz4kOrVq+staY2MVqhQIZYuXcqaNWuoUKECX375JVOnTs1SnGkxMjJi5cqVHDx4kEqVKjFw4ECmTJmiV8bS0pK1a9fSuHFjypUrR/fu3alSpQpBQUHaLW3x8fFEREQQGxur7Td//nyqV69Oz549gaQEt3r16mzYsCHdeNzd3fntt984evQodevWpUGDBly5coUtW7Zozz0lK1euHE5OTpQpU4Zhw4bRu3dvvVEQ01K7dm0OHDhAmTJl6NmzJ+XLl6dly5acOHGCmTNnZuXSZdmECRMYNWoUAQEBlC9fHm9vbzZt2qTdlmtqasrw4cOpUqUKb731FsbGxtpoc5aWluzatYsSJUpozxB2796duLi4dHuyAEqVKsWhQ4do1KgRgwcPplKlSjRt2pQdO3ZkqVeod+/etG3bFh8fH+rUqcOtW7f0erEgKSEqV64cNWvWpFChQuzZs+cFrlISExMTChYsmGoerGc1adJE73eJk5MTv/76a5aONXr06FR1DB06VNs+c+ZMvvnmG3766ScqVapEzZo12bVrF7/++muq3qy09O3bl/DwcNasWZOluIQQGdMp+cpCiDwhLi6Oc+fOUbJkSe2Dc1ZdjbnK7bj0v713MHfA0UommXyV7dmzhzfffJOoqCjs7OxwcnLi77//1m4bFOJ15enpSbVq1V56Mpvb6XQ61q1bl+UvczIrO/5WCZGbyTNXQgiNo5WjJE95zLp167C2tqZs2bJERUXRv39/6tevT+nSpYmMjGT69OmSWAnxj2+++YZFixYREhJC5cqVDR1Ojvroo4/44YcfDB2GEK886bkSIo+QbwP/394dozgMA1EAHTDuBUkR38dHS+tL5GgGQ1DlKk0w3mKxYdmUWmy0751guuFL6ItPHo9H3O/3GMcxrtdr9H0fwzDE5XI5ejQ4lWma9uKR7S3hf5Jz3t90dV338YPnEuwqaidcQSUsLADOzq6idgotAAAAChCuoDIuowE4KzuK2glXUIm2bSMiflROA8CZbDtq21lQG22BUImmaSKlFDnniPj+f2b7KBYAjrSua7xer8g5R0opmqY5eiT4EwotoCLrusbz+Yx5no8eBQB+SSnF7XZz+Ee1hCuo0LIs8X6/jx4DAHZt27qxonrCFQAAQAEKLQAAAAoQrgAAAAoQrgAAAAoQrgAAAAoQrgAAAAoQrgAAAAoQrgAAAAr4AnxOckMkQm32AAAAAElFTkSuQmCC","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":352,"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":353,"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":354,"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":355,"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","    [\"total_repetitions\", \"num_max_output_tokens\"],\n","    [\"Mean Total Repetitions\", \"Number of Answers with Max Output Tokens\"],\n",")"]},{"cell_type":"code","execution_count":356,"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":357,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["### Analyzing: Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00\n","*** Found 3 rows with total_repetitions > 50 for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00\n","钱老板道：“正是。 沐王府小公爷的嫡亲妹子。\n","================================================================================\n","'Young Lord Mu's little sister,' said Butcher Qian.\n","================================================================================\n","'Yes,' said Butcher Qian, 'it's the real thing. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(46, 1100), match=\". It's the real thing all right. It's the real th>\n","Group 1 found at 46-573: `. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right`\n","Group 2 found at 573-1100: `. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right`\n","Group 3 found at 573-1100: `. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right`\n","(0, 1054, 1054)\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, long, long, short, long, long, long, short, short, short, short, long, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long,\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(1, 51), match='hort, long, long, long, short, long, long, long, >\n","Group 1 found at 1-26: `hort, long, long, long, s`\n","Group 2 found at 26-51: `hort, long, long, long, s`\n","Group 3 found at 26-51: `hort, long, long, long, s`\n","<re.Match object; span=(51, 72), match='hort, short, short, s'>\n","Group 1 found at 51-58: `hort, s`\n","Group 2 found at 65-72: `hort, s`\n","Group 3 found at 65-72: `hort, s`\n","<re.Match object; span=(76, 100), match=', long, long, long, long'>\n","Group 1 found at 76-88: `, long, long`\n","Group 2 found at 88-100: `, long, long`\n","Group 3 found at 88-100: `, long, long`\n","<re.Match object; span=(100, 398), match=', short, short, short, long, long, long, short, s>\n","Group 1 found at 100-249: `, short, short, short, long, long, long, short, short, short, long, long, long, short, short, long, long, long, short, short, short, long, long, long`\n","Group 2 found at 249-398: `, short, short, short, long, long, long, short, short, short, long, long, long, short, short, long, long, long, short, short, short, long, long, long`\n","Group 3 found at 249-398: `, short, short, short, long, long, long, short, short, short, long, long, long, short, short, long, long, long, short, short, short, long, long, long`\n","<re.Match object; span=(398, 944), match=', short, short, short, long, long, long, short, s>\n","Group 1 found at 398-671: `, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long`\n","Group 2 found at 671-944: `, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long`\n","Group 3 found at 671-944: `, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long`\n","<re.Match object; span=(944, 965), match=', short, short, short'>\n","Group 1 found at 944-951: `, short`\n","Group 2 found at 958-965: `, short`\n","Group 3 found at 958-965: `, short`\n","(0, 960, 960)\n","老头子跪在地上，哀求道：“八路老爷饶命，八路老爷饶命……”\n","================================================================================\n","He rose to his knees and begged, 'Spare me, Eighth Route Master, spare me!'\n","================================================================================\n","The old man knelt on the ground, imploringly: 'Please, Eighth Route Army, don't kill me! Please, Eighth Route Army, don't kill me!'\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(47, 130), match=\"Please, Eighth Route Army, don't kill me! Please,>\n","Group 1 found at 47-88: `Please, Eighth Route Army, don't kill me!`\n","Group 2 found at 89-130: `Please, Eighth Route Army, don't kill me!`\n","Group 3 found at 89-130: `Please, Eighth Route Army, don't kill me!`\n","(0, 83, 83)\n","\n","*** Found 2 rows with output_tokens >= 300 for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00\n","--------------------------------------------------\n","chinese: 钱老板道：“正是。 沐王府小公爷的嫡亲妹子。\n","--------------------------------------------------\n","english: 'Young Lord Mu's little sister,' said Butcher Qian.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: 'Yes,' said Butcher Qian, 'it's the real thing. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real\n","--------------------------------------------------\n","output_tokens-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: 300\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","Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: Short, long, long, long, short, long, long, long, short, short, short, short, long, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long,\n","--------------------------------------------------\n","output_tokens-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: 300\n","\n","*** Found 6 rows with incomplete translations for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00\n","--------------------------------------------------\n","chinese: 韦小宝脸皮再厚，也知自己的武功实在太不高明，说道：“老乌龟教我的都是假功夫。\n","--------------------------------------------------\n","english: However immune to self-criticism Trinket might be, he knew that what he liked to call his Martial Arts training was really a joke. 'The Old Devil only pretended to teach me,' he said.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: Trinket knew that his own武功实在不高明, and that Old Devil Trinket had taught him nothing but fake kungfu.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: 1\n","--------------------------------------------------\n","chinese: 薛蟠连忙打恭作揖赔不是，又求：“别难为了小子，都是我央及他去的。”\n","--------------------------------------------------\n","english: Xue Pan was by this time being apologetic — bowing repeatedly and pumping his hands to show how sorry he was: 'Don't blame the lad!' he said. 'It wasn't his fault. I talked him into it.'\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: Xue Pan hurriedly made a low bow and a respectful揖, and apologized profusely. 'Don't be too hard on the poor boy. It was all my doing.'\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: 1\n","--------------------------------------------------\n","chinese: 这阴沉气有时是东西厢房的薰衣草气味，有时是樟脑丸气味，还有时是肉砧板上的气味。\n","--------------------------------------------------\n","english: This murky air sometimes smells like lavender in a bedroom, sometimes like mothballs, and at other times like a kitchen chopping block.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: This gloomy air sometimes smelled like lavender in the east and west wings, sometimes like樟脑 balls, and sometimes like the meat cleaver.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: 1\n","--------------------------------------------------\n","chinese: 在我看来，义气就是江湖好汉中那种伟大友谊。\n","--------------------------------------------------\n","english: In my opinion, brotherhood was the kind of great friendship that only existed among the outlaws of the forest.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: To me, loyalty is the great friendship among the heroes of the江湖.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: 1\n","--------------------------------------------------\n","chinese: 俗语说的：‘千里搭长棚——没有个不散的筵席。’\n","--------------------------------------------------\n","english: 'You know what they said about the mile-wide marquee: 'Even the longest party must have an end'?\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: The saying goes: 'Even a long tent搭ed up for a thousand miles must eventually come down.'\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: 1\n","--------------------------------------------------\n","chinese: 轿夫抬轿从街上走，迈的都是八字步，号称“踩街”，这一方面是为讨主家欢喜，多得些赏钱； 另一方面，是为了显示一种优雅的职业风度。\n","--------------------------------------------------\n","english: As the bearers carried their load down the path, their feet left a series of V imprints known as 'tramples' in the dirt, for which satisfied clients usually rewarded them, and which fortified the bearers' pride of profession.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: The bearers walked in a八字 step, which they called 'walking the street.' This was partly to please the master of the wedding and get more money, and partly to show off their elegant professional style.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00: 1\n","### Analyzing: Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02\n","*** Found 2 rows with total_repetitions > 50 for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02\n","钱老板道：“正是。 沐王府小公爷的嫡亲妹子。\n","================================================================================\n","'Young Lord Mu's little sister,' said Butcher Qian.\n","================================================================================\n","'Yes,' said Butcher Qian, 'it's the real thing. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(46, 1100), match=\". It's the real thing all right. It's the real th>\n","Group 1 found at 46-573: `. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right`\n","Group 2 found at 573-1100: `. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right`\n","Group 3 found at 573-1100: `. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right`\n","(0, 1054, 1054)\n","老头子跪在地上，哀求道：“八路老爷饶命，八路老爷饶命……”\n","================================================================================\n","He rose to his knees and begged, 'Spare me, Eighth Route Master, spare me!'\n","================================================================================\n","The old man knelt on the ground and begged for mercy: 'Eight Road gentleman, please spare my life! Eight Road gentleman, please spare my life!'\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(55, 142), match='Eight Road gentleman, please spare my life! Eight>\n","Group 1 found at 55-98: `Eight Road gentleman, please spare my life!`\n","Group 2 found at 99-142: `Eight Road gentleman, please spare my life!`\n","Group 3 found at 99-142: `Eight Road gentleman, please spare my life!`\n","(0, 87, 87)\n","\n","*** Found 1 rows with output_tokens >= 300 for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02\n","--------------------------------------------------\n","chinese: 钱老板道：“正是。 沐王府小公爷的嫡亲妹子。\n","--------------------------------------------------\n","english: 'Young Lord Mu's little sister,' said Butcher Qian.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02: 'Yes,' said Butcher Qian, 'it's the real thing. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real thing all right. It's the real\n","--------------------------------------------------\n","output_tokens-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02: 300\n","\n","*** Found 5 rows with incomplete translations for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02\n","--------------------------------------------------\n","chinese: 这阴沉气有时是东西厢房的薰衣草气味，有时是樟脑丸气味，还有时是肉砧板上的气味。\n","--------------------------------------------------\n","english: This murky air sometimes smells like lavender in a bedroom, sometimes like mothballs, and at other times like a kitchen chopping block.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02: This gloomy air sometimes smelled like lavender in the east and west wings, sometimes like樟脑 balls, and sometimes like the meat cleaver.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02: 1\n","--------------------------------------------------\n","chinese: 在我看来，义气就是江湖好汉中那种伟大友谊。\n","--------------------------------------------------\n","english: In my opinion, brotherhood was the kind of great friendship that only existed among the outlaws of the forest.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02: To me, loyalty is the great friendship among the heroes of the江湖.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02: 1\n","--------------------------------------------------\n","chinese: 轿夫抬轿从街上走，迈的都是八字步，号称“踩街”，这一方面是为讨主家欢喜，多得些赏钱； 另一方面，是为了显示一种优雅的职业风度。\n","--------------------------------------------------\n","english: As the bearers carried their load down the path, their feet left a series of V imprints known as 'tramples' in the dirt, for which satisfied clients usually rewarded them, and which fortified the bearers' pride of profession.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02: The bearers walked in a八字 step, which they called 'walking the street.' This was partly to please their patrons and earn more money, and partly to show off their elegant professional deportment.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02: 1\n","--------------------------------------------------\n","chinese: 因见上面大旨不过谈情，亦只是实录其事，绝无伤时诲淫之病，方从头至尾抄写回来，闻世传奇。\n","--------------------------------------------------\n","english: He could see that its main theme was love; that it consisted quite simply of a true record of real events; and that it was entirely free from any tendency to deprave and corrupt. He therefore copied it all out from beginning to end and took it back with him to look for a publisher.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02: He found that the whole book was concerned with love and romance, and that it was written in a straightforward, unadorned style, without a hint of诲淫. He therefore copied out the whole thing and published it as a popular romance.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02: 1\n","--------------------------------------------------\n","chinese: 漫山冷雾时，腰上别着刀子，足蹬高统雨靴，走到雨丝里去。\n","--------------------------------------------------\n","english: When cold mist drifted over the mountain, she would tuck a knife into her belt, put on a pair of rain boots, and enter the drizzle.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02: When the mist was cold and dense, he would walk up the mountain with a knife at his belt and high统ed rubber boots on his feet, into the rain.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.02: 1\n","### Analyzing: Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.04\n","*** Found 1 rows with total_repetitions > 50 for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.04\n","老头子跪在地上，哀求道：“八路老爷饶命，八路老爷饶命……”\n","================================================================================\n","He rose to his knees and begged, 'Spare me, Eighth Route Master, spare me!'\n","================================================================================\n","The old man knelt on the ground and begged for mercy: 'Eight Road gentleman, please spare my life! Eight Road gentleman, please spare my life!'\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(55, 142), match='Eight Road gentleman, please spare my life! Eight>\n","Group 1 found at 55-98: `Eight Road gentleman, please spare my life!`\n","Group 2 found at 99-142: `Eight Road gentleman, please spare my life!`\n","Group 3 found at 99-142: `Eight Road gentleman, please spare my life!`\n","(0, 87, 87)\n","\n","*** Found 0 rows with output_tokens >= 300 for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.04\n","\n","*** Found 1 rows with incomplete translations for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.04\n","--------------------------------------------------\n","chinese: 轿夫抬轿从街上走，迈的都是八字步，号称“踩街”，这一方面是为讨主家欢喜，多得些赏钱； 另一方面，是为了显示一种优雅的职业风度。\n","--------------------------------------------------\n","english: As the bearers carried their load down the path, their feet left a series of V imprints known as 'tramples' in the dirt, for which satisfied clients usually rewarded them, and which fortified the bearers' pride of profession.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.04: The bearers walked in a八字 step, which they called 'walking the street.' This was partly to please their patrons and earn more money, but also to show off their elegant professional style.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.04: 1\n","### Analyzing: Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.06\n","*** Found 1 rows with total_repetitions > 50 for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.06\n","老头子跪在地上，哀求道：“八路老爷饶命，八路老爷饶命……”\n","================================================================================\n","He rose to his knees and begged, 'Spare me, Eighth Route Master, spare me!'\n","================================================================================\n","The old man knelt on the ground and begged for mercy: 'Eight Road gentleman, please spare my life! Eight Road gentleman, please spare my life!'\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(55, 142), match='Eight Road gentleman, please spare my life! Eight>\n","Group 1 found at 55-98: `Eight Road gentleman, please spare my life!`\n","Group 2 found at 99-142: `Eight Road gentleman, please spare my life!`\n","Group 3 found at 99-142: `Eight Road gentleman, please spare my life!`\n","(0, 87, 87)\n","\n","*** Found 0 rows with output_tokens >= 300 for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.06\n","\n","*** Found 1 rows with incomplete translations for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.06\n","--------------------------------------------------\n","chinese: 轿夫抬轿从街上走，迈的都是八字步，号称“踩街”，这一方面是为讨主家欢喜，多得些赏钱； 另一方面，是为了显示一种优雅的职业风度。\n","--------------------------------------------------\n","english: As the bearers carried their load down the path, their feet left a series of V imprints known as 'tramples' in the dirt, for which satisfied clients usually rewarded them, and which fortified the bearers' pride of profession.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.06: The bearers walked in a八字 step called 'footing the street,' which was both for the benefit of their masters and to show off their professional elegance.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.06: 1\n","### Analyzing: Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.08\n","*** Found 1 rows with total_repetitions > 50 for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.08\n","老头子跪在地上，哀求道：“八路老爷饶命，八路老爷饶命……”\n","================================================================================\n","He rose to his knees and begged, 'Spare me, Eighth Route Master, spare me!'\n","================================================================================\n","The old man knelt on the ground and begged for mercy: 'Eight Road gentleman, please spare my life! Eight Road gentleman, please spare my life!'\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(55, 142), match='Eight Road gentleman, please spare my life! Eight>\n","Group 1 found at 55-98: `Eight Road gentleman, please spare my life!`\n","Group 2 found at 99-142: `Eight Road gentleman, please spare my life!`\n","Group 3 found at 99-142: `Eight Road gentleman, please spare my life!`\n","(0, 87, 87)\n","\n","*** Found 0 rows with output_tokens >= 300 for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.08\n","\n","*** Found 1 rows with incomplete translations for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.08\n","--------------------------------------------------\n","chinese: 俗语说的：‘千里搭长棚——没有个不散的筵席。’\n","--------------------------------------------------\n","english: 'You know what they said about the mile-wide marquee: 'Even the longest party must have an end'?\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.08: The saying goes: 'Even a long tent搭ed up for a thousand miles must eventually come down.'\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.08: 1\n","### Analyzing: Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.10\n","*** Found 1 rows with total_repetitions > 50 for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.10\n","老头子跪在地上，哀求道：“八路老爷饶命，八路老爷饶命……”\n","================================================================================\n","He rose to his knees and begged, 'Spare me, Eighth Route Master, spare me!'\n","================================================================================\n","The old man knelt on the ground and begged for mercy: 'Eight Road gentleman, please spare my life! Eight Road gentleman, please spare my life!'\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(55, 142), match='Eight Road gentleman, please spare my life! Eight>\n","Group 1 found at 55-98: `Eight Road gentleman, please spare my life!`\n","Group 2 found at 99-142: `Eight Road gentleman, please spare my life!`\n","Group 3 found at 99-142: `Eight Road gentleman, please spare my life!`\n","(0, 87, 87)\n","\n","*** Found 0 rows with output_tokens >= 300 for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.10\n","\n","*** Found 0 rows with incomplete translations for Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.10\n","### Analyzing: internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00\n","*** Found 2 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","Long, short, long, short, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short,\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(1, 27), match='ong, short, long, short, l'>\n","Group 1 found at 1-14: `ong, short, l`\n","Group 2 found at 14-27: `ong, short, l`\n","Group 3 found at 14-27: `ong, short, l`\n","<re.Match object; span=(27, 963), match='ong, short, short, long, long, short, short, long>\n","Group 1 found at 27-495: `ong, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, l`\n","Group 2 found at 495-963: `ong, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, l`\n","Group 3 found at 495-963: `ong, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, l`\n","(0, 962, 962)\n","不看僧面看佛面，不看鱼面看水面，不看我的面子也要看豆官的面子上，留下吧，你要我…… 我也给你…… 你就像我的爹一样……”\n","================================================================================\n","'If not for the sake of the monk, stay for the Buddha. If not for the sake of the fish, stay for the water. If not for my sake, stay for little Douguan. You can have me, if you want. . . . You're like my own father. . . .'\n","================================================================================\n","'You ought to spare my face for the sake of the Buddha's. You ought to spare my face for the sake of the fish. You ought to spare my face for the sake of the bean-girl. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(167, 1121), match='. You ought to spare my face for the sake of your>\n","Group 1 found at 167-644: `. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own`\n","Group 2 found at 644-1121: `. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own`\n","Group 3 found at 644-1121: `. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own`\n","(0, 954, 954)\n","\n","*** Found 2 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: Long, short, long, short, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short, short, long, long, short,\n","--------------------------------------------------\n","output_tokens-internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00: 301\n","--------------------------------------------------\n","chinese: 不看僧面看佛面，不看鱼面看水面，不看我的面子��要看豆官的面子上，留下吧，你要我…… 我也给你…… 你就像我的爹一样……”\n","--------------------------------------------------\n","english: 'If not for the sake of the monk, stay for the Buddha. If not for the sake of the fish, stay for the water. If not for my sake, stay for little Douguan. You can have me, if you want. . . . You're like my own father. . . .'\n","--------------------------------------------------\n","internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00: 'You ought to spare my face for the sake of the Buddha's. You ought to spare my face for the sake of the fish. You ought to spare my face for the sake of the bean-girl. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of your own. You ought to spare my face for the sake of\n","--------------------------------------------------\n","output_tokens-internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00: 301\n","\n","*** Found 1 rows with incomplete translations for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00\n","--------------------------------------------------\n","chinese: 一是我在慰问团面前说出了曾经被打晕的事，叫军代表很没面子；二是争风吃醋，所以他一直修理我。\n","--------------------------------------------------\n","english: Firstly, I told the relief delegation that I had been beaten unconscious, which made the military deputy lose face; secondly, he and I fought over a woman, which was why he was always trying to screw me.\n","--------------------------------------------------\n","internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00: One was that I had embarrassed the military deputy in front of the慰问 team by admitting that I had been knocked out; the other was that I was jealous. So he kept punishing me.\n","--------------------------------------------------\n","contains_chinese-internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00: 1\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 short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long 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, 1629), match='hort long short long short long short long short >\n","Group 1 found at 1-815: `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 short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long 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 815-1629: `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 short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long 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 815-1629: `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 short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long 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, 1628, 1628)\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 short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long 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-1.02: 301\n","\n","*** Found 0 rows with incomplete translations for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.02\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 short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long 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, 1629), match='hort long short long short long short long short >\n","Group 1 found at 1-815: `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 short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long 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 815-1629: `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 short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long 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 815-1629: `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 short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long 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, 1628, 1628)\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 short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long 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-1.04: 301\n","\n","*** Found 0 rows with incomplete translations for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.04\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 short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long 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, 1629), match='hort long short long short long short long short >\n","Group 1 found at 1-815: `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 short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long 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 815-1629: `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 short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long 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 815-1629: `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 short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long 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, 1628, 1628)\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 short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long 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-1.06: 301\n","\n","*** Found 1 rows with incomplete translations for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06\n","--------------------------------------------------\n","chinese: 左首一人又高又瘦，面目黝黑，姓顾名炎武，字亭林，江苏昆山人士。\n","--------------------------------------------------\n","english: The other one, a tall, thin man with a swarthy complexion, was Gu Yanwu, a native of Kunshan in Jiangsu Province.\n","--------------------------------------------------\n","internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06: One of them was tall and thin, with dark features; his name was Gu Yanwu (characters: 顾炎武), and his courtesy name was Tinglin. He came from Kunshan in Jiangsu Province.\n","--------------------------------------------------\n","contains_chinese-internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.06: 1\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 short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long 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, 1629), match='hort long short long short long short long short >\n","Group 1 found at 1-815: `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 short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long 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 815-1629: `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 short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long 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 815-1629: `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 short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long 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, 1628, 1628)\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 short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long short long 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-1.08: 301\n","\n","*** Found 1 rows with incomplete translations for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08\n","--------------------------------------------------\n","chinese: 左首一人又高又瘦，面目黝黑，姓顾名炎武，字亭林，江苏昆山人士。\n","--------------------------------------------------\n","english: The other one, a tall, thin man with a swarthy complexion, was Gu Yanwu, a native of Kunshan in Jiangsu Province.\n","--------------------------------------------------\n","internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08: One of them was tall and thin, with dark features; his name was Gu Yanwu (characters: 顾炎武), but he went by the courtesy names Linting and Shilin. He came from Kunshan in Jiangsu Province.\n","--------------------------------------------------\n","contains_chinese-internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.08: 1\n","### Analyzing: internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10\n","*** Found 0 rows with total_repetitions > 50 for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10\n","\n","*** Found 0 rows with output_tokens >= 300 for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10\n","\n","*** Found 1 rows with incomplete translations for internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10\n","--------------------------------------------------\n","chinese: 左首一人又高又瘦，面目黝黑，姓顾名炎武，字亭林，江苏昆山人士。\n","--------------------------------------------------\n","english: The other one, a tall, thin man with a swarthy complexion, was Gu Yanwu, a native of Kunshan in Jiangsu Province.\n","--------------------------------------------------\n","internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10: One of them was tall and thin with dark features; his name was Gu Yanwu (characters: 顾炎武), but he went by the courtesy names Linshan (亭林). He came from Kunshan in Jiangsu Province.\n","--------------------------------------------------\n","contains_chinese-internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.10: 1\n","### Analyzing: shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.00\n","*** Found 1 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/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, long, long, short, long, long, long, short, short, long, long, long, short, short, short, long, long, long, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long,\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(1, 51), match='hort, long, long, long, short, long, long, long, >\n","Group 1 found at 1-26: `hort, long, long, long, s`\n","Group 2 found at 26-51: `hort, long, long, long, s`\n","Group 3 found at 26-51: `hort, long, long, long, s`\n","<re.Match object; span=(51, 193), match='hort, short, long, long, long, short, short, shor>\n","Group 1 found at 51-122: `hort, short, long, long, long, short, short, short, long, long, long, s`\n","Group 2 found at 122-193: `hort, short, long, long, long, short, short, short, long, long, long, s`\n","Group 3 found at 122-193: `hort, short, long, long, long, short, short, short, long, long, long, s`\n","<re.Match object; span=(193, 895), match='hort, short, short, long, long, long, short, shor>\n","Group 1 found at 193-544: `hort, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, s`\n","Group 2 found at 544-895: `hort, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, s`\n","Group 3 found at 544-895: `hort, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, s`\n","<re.Match object; span=(895, 909), match='hort, short, s'>\n","Group 1 found at 895-902: `hort, s`\n","Group 2 found at 902-909: `hort, s`\n","Group 3 found at 902-909: `hort, s`\n","<re.Match object; span=(913, 931), match=', long, long, long'>\n","Group 1 found at 913-919: `, long`\n","Group 2 found at 925-931: `, long`\n","Group 3 found at 925-931: `, long`\n","<re.Match object; span=(931, 952), match=', short, short, short'>\n","Group 1 found at 931-938: `, short`\n","Group 2 found at 945-952: `, short`\n","Group 3 found at 945-952: `, short`\n","<re.Match object; span=(952, 970), match=', long, long, long'>\n","Group 1 found at 952-958: `, long`\n","Group 2 found at 964-970: `, long`\n","Group 3 found at 964-970: `, long`\n","(0, 965, 965)\n","\n","*** Found 1 rows with output_tokens >= 300 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/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","shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.00: Short, long, long, long, short, long, long, long, short, short, long, long, long, short, short, short, long, long, long, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long,\n","--------------------------------------------------\n","output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.00: 300\n","\n","*** Found 0 rows with incomplete translations for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.00\n","### Analyzing: shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.02\n","*** Found 2 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/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, long, long, short, long, long, long, short, short, long, long, long, short, short, short, long, long, long, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long,\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(1, 51), match='hort, long, long, long, short, long, long, long, >\n","Group 1 found at 1-26: `hort, long, long, long, s`\n","Group 2 found at 26-51: `hort, long, long, long, s`\n","Group 3 found at 26-51: `hort, long, long, long, s`\n","<re.Match object; span=(51, 193), match='hort, short, long, long, long, short, short, shor>\n","Group 1 found at 51-122: `hort, short, long, long, long, short, short, short, long, long, long, s`\n","Group 2 found at 122-193: `hort, short, long, long, long, short, short, short, long, long, long, s`\n","Group 3 found at 122-193: `hort, short, long, long, long, short, short, short, long, long, long, s`\n","<re.Match object; span=(193, 895), match='hort, short, short, long, long, long, short, shor>\n","Group 1 found at 193-544: `hort, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, s`\n","Group 2 found at 544-895: `hort, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, s`\n","Group 3 found at 544-895: `hort, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, s`\n","<re.Match object; span=(895, 909), match='hort, short, s'>\n","Group 1 found at 895-902: `hort, s`\n","Group 2 found at 902-909: `hort, s`\n","Group 3 found at 902-909: `hort, s`\n","<re.Match object; span=(913, 931), match=', long, long, long'>\n","Group 1 found at 913-919: `, long`\n","Group 2 found at 925-931: `, long`\n","Group 3 found at 925-931: `, long`\n","<re.Match object; span=(931, 952), match=', short, short, short'>\n","Group 1 found at 931-938: `, short`\n","Group 2 found at 945-952: `, short`\n","Group 3 found at 945-952: `, short`\n","<re.Match object; span=(952, 970), match=', long, long, long'>\n","Group 1 found at 952-958: `, long`\n","Group 2 found at 964-970: `, long`\n","Group 3 found at 964-970: `, long`\n","(0, 965, 965)\n","老头子跪在地上，哀求道：“八路老爷饶命，八路老爷饶命……”\n","================================================================================\n","He rose to his knees and begged, 'Spare me, Eighth Route Master, spare me!'\n","================================================================================\n","The old man knelt on the ground and begged for mercy: 'Lords of the Eighth Route Army, have mercy! Lords of the Eighth Route Army, have mercy!'\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(55, 142), match='Lords of the Eighth Route Army, have mercy! Lords>\n","Group 1 found at 55-98: `Lords of the Eighth Route Army, have mercy!`\n","Group 2 found at 99-142: `Lords of the Eighth Route Army, have mercy!`\n","Group 3 found at 99-142: `Lords of the Eighth Route Army, have mercy!`\n","(0, 87, 87)\n","\n","*** Found 1 rows with output_tokens >= 300 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/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","shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.02: Short, long, long, long, short, long, long, long, short, short, long, long, long, short, short, short, long, long, long, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long, short, short, short, long, long, long,\n","--------------------------------------------------\n","output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.02: 300\n","\n","*** Found 0 rows with incomplete translations for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.02\n","### Analyzing: shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.04\n","*** Found 0 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.04\n","\n","*** Found 0 rows with output_tokens >= 300 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.04\n","\n","*** Found 0 rows with incomplete translations for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.04\n","### Analyzing: shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.06\n","*** Found 0 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.06\n","\n","*** Found 0 rows with output_tokens >= 300 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.06\n","\n","*** Found 0 rows with incomplete translations for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.06\n","### Analyzing: shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.08\n","*** Found 0 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.08\n","\n","*** Found 0 rows with output_tokens >= 300 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.08\n","\n","*** Found 0 rows with incomplete translations for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.08\n","### Analyzing: shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.10\n","*** Found 0 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.10\n","\n","*** Found 0 rows with output_tokens >= 300 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.10\n","\n","*** Found 0 rows with incomplete translations for shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.10\n","### Analyzing: shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.00\n","*** Found 1 rows with total_repetitions > 50 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.00\n","青天哟——蓝天哟——花花绿绿的天哟——棒槌哟亲哥哟你死了——可就塌了妹妹的天哟——\n","================================================================================\n","A blue sky yo – a sapphire sky yo – a painted sky yo – a mighty cudgel yo – dear elder brother yo – death has claimed you – you have brought down little sister's sky yo –.\n","================================================================================\n","'The sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(2, 988), match='he sky is blue, the sky is blue, the sky is blue,>\n","Group 1 found at 2-495: `he sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, t`\n","Group 2 found at 495-988: `he sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, t`\n","Group 3 found at 495-988: `he sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, t`\n","(0, 986, 986)\n","\n","*** Found 1 rows with output_tokens >= 300 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.00\n","--------------------------------------------------\n","chinese: 青天哟——蓝天哟——花花绿绿的天哟——棒槌哟亲哥哟你死了——可就塌了妹妹的天哟——\n","--------------------------------------------------\n","english: A blue sky yo – a sapphire sky yo – a painted sky yo – a mighty cudgel yo – dear elder brother yo – death has claimed you – you have brought down little sister's sky yo –.\n","--------------------------------------------------\n","shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.00: 'The sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue, the sky is blue\n","--------------------------------------------------\n","output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.00: 301\n","\n","*** Found 0 rows with incomplete translations for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.00\n","### Analyzing: shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.02\n","*** Found 0 rows with total_repetitions > 50 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.02\n","\n","*** Found 0 rows with output_tokens >= 300 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.02\n","\n","*** Found 0 rows with incomplete translations for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.02\n","### Analyzing: shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.04\n","*** Found 1 rows with total_repetitions > 50 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.04\n","老头子跪在地上，哀求道：“八路老爷饶命，八路老爷饶命……”\n","================================================================================\n","He rose to his knees and begged, 'Spare me, Eighth Route Master, spare me!'\n","================================================================================\n","The old man fell to his knees and pleaded for mercy: 'Eight-route sir, spare my life! Eight-route sir, spare my life!'\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(54, 117), match='Eight-route sir, spare my life! Eight-route sir, >\n","Group 1 found at 54-85: `Eight-route sir, spare my life!`\n","Group 2 found at 86-117: `Eight-route sir, spare my life!`\n","Group 3 found at 86-117: `Eight-route sir, spare my life!`\n","(0, 63, 63)\n","\n","*** Found 0 rows with output_tokens >= 300 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.04\n","\n","*** Found 0 rows with incomplete translations for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.04\n","### Analyzing: shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.06\n","*** Found 1 rows with total_repetitions > 50 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.06\n","老头子跪在地上，哀求道：“八路老爷饶命，八路老爷饶命……”\n","================================================================================\n","He rose to his knees and begged, 'Spare me, Eighth Route Master, spare me!'\n","================================================================================\n","The old man fell to his knees and pleaded for mercy: 'Eight-route sir, spare my life! Eight-route sir, spare my life!'\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(54, 117), match='Eight-route sir, spare my life! Eight-route sir, >\n","Group 1 found at 54-85: `Eight-route sir, spare my life!`\n","Group 2 found at 86-117: `Eight-route sir, spare my life!`\n","Group 3 found at 86-117: `Eight-route sir, spare my life!`\n","(0, 63, 63)\n","\n","*** Found 0 rows with output_tokens >= 300 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.06\n","\n","*** Found 0 rows with incomplete translations for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.06\n","### Analyzing: shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.08\n","*** Found 1 rows with total_repetitions > 50 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.08\n","老头子跪在地上，哀求道：“八路老爷饶命，八路老爷饶命……”\n","================================================================================\n","He rose to his knees and begged, 'Spare me, Eighth Route Master, spare me!'\n","================================================================================\n","The old man fell to his knees and pleaded for mercy: 'Eight-route sir, spare my life! Eight-route sir, spare my life!'\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(54, 117), match='Eight-route sir, spare my life! Eight-route sir, >\n","Group 1 found at 54-85: `Eight-route sir, spare my life!`\n","Group 2 found at 86-117: `Eight-route sir, spare my life!`\n","Group 3 found at 86-117: `Eight-route sir, spare my life!`\n","(0, 63, 63)\n","\n","*** Found 0 rows with output_tokens >= 300 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.08\n","\n","*** Found 0 rows with incomplete translations for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.08\n","### Analyzing: shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.10\n","*** Found 1 rows with total_repetitions > 50 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.10\n","老头子跪在地上，哀求道：“八路老爷饶命，八路老爷饶命……”\n","================================================================================\n","He rose to his knees and begged, 'Spare me, Eighth Route Master, spare me!'\n","================================================================================\n","The old man fell on his knees and pleaded for mercy: 'Eight-route sir, spare my life! Eight-route sir, spare my life!'\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(54, 117), match='Eight-route sir, spare my life! Eight-route sir, >\n","Group 1 found at 54-85: `Eight-route sir, spare my life!`\n","Group 2 found at 86-117: `Eight-route sir, spare my life!`\n","Group 3 found at 86-117: `Eight-route sir, spare my life!`\n","(0, 63, 63)\n","\n","*** Found 0 rows with output_tokens >= 300 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.10\n","\n","*** Found 0 rows with incomplete translations for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.10\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":358,"metadata":{},"outputs":[],"source":["metrics_df.to_csv(results_path.replace(\".csv\", \"_metrics.csv\"), index=False)"]},{"cell_type":"code","execution_count":359,"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>spbleu</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_incomplete_translations</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>24.000000</td>\n","      <td>24.000000</td>\n","      <td>24.000000</td>\n","      <td>24.000000</td>\n","      <td>24.0</td>\n","      <td>24.000000</td>\n","      <td>24.000000</td>\n","      <td>24.000000</td>\n","      <td>24.000000</td>\n","      <td>24.00000</td>\n","      <td>24.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>0.417037</td>\n","      <td>13.718655</td>\n","      <td>0.137187</td>\n","      <td>0.395544</td>\n","      <td>0.0</td>\n","      <td>0.608046</td>\n","      <td>0.608046</td>\n","      <td>0.406971</td>\n","      <td>0.750000</td>\n","      <td>0.50000</td>\n","      <td>1.152104</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>0.018146</td>\n","      <td>1.344273</td>\n","      <td>0.013443</td>\n","      <td>0.015240</td>\n","      <td>0.0</td>\n","      <td>0.588014</td>\n","      <td>0.588014</td>\n","      <td>0.017857</td>\n","      <td>1.539339</td>\n","      <td>0.65938</td>\n","      <td>0.096738</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>0.375962</td>\n","      <td>10.355853</td>\n","      <td>0.103559</td>\n","      <td>0.361538</td>\n","      <td>0.0</td>\n","      <td>0.108561</td>\n","      <td>0.108561</td>\n","      <td>0.368371</td>\n","      <td>0.000000</td>\n","      <td>0.00000</td>\n","      <td>1.015004</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>0.405165</td>\n","      <td>13.089543</td>\n","      <td>0.130895</td>\n","      <td>0.386376</td>\n","      <td>0.0</td>\n","      <td>0.147176</td>\n","      <td>0.147176</td>\n","      <td>0.395076</td>\n","      <td>0.000000</td>\n","      <td>0.00000</td>\n","      <td>1.087820</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>0.418941</td>\n","      <td>13.622188</td>\n","      <td>0.136222</td>\n","      <td>0.396875</td>\n","      <td>0.0</td>\n","      <td>0.188438</td>\n","      <td>0.188438</td>\n","      <td>0.407530</td>\n","      <td>0.000000</td>\n","      <td>0.00000</td>\n","      <td>1.154016</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>0.430973</td>\n","      <td>14.983600</td>\n","      <td>0.149836</td>\n","      <td>0.407417</td>\n","      <td>0.0</td>\n","      <td>1.183583</td>\n","      <td>1.183583</td>\n","      <td>0.419873</td>\n","      <td>1.000000</td>\n","      <td>1.00000</td>\n","      <td>1.204766</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>0.445196</td>\n","      <td>15.448398</td>\n","      <td>0.154484</td>\n","      <td>0.419241</td>\n","      <td>0.0</td>\n","      <td>1.830538</td>\n","      <td>1.830538</td>\n","      <td>0.438036</td>\n","      <td>6.000000</td>\n","      <td>2.00000</td>\n","      <td>1.309797</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["          meteor     spbleu     bleu_1    rouge_l  ews_score  \\\n","count  24.000000  24.000000  24.000000  24.000000       24.0   \n","mean    0.417037  13.718655   0.137187   0.395544        0.0   \n","std     0.018146   1.344273   0.013443   0.015240        0.0   \n","min     0.375962  10.355853   0.103559   0.361538        0.0   \n","25%     0.405165  13.089543   0.130895   0.386376        0.0   \n","50%     0.418941  13.622188   0.136222   0.396875        0.0   \n","75%     0.430973  14.983600   0.149836   0.407417        0.0   \n","max     0.445196  15.448398   0.154484   0.419241        0.0   \n","\n","       repetition_score  total_repetitions        rap  \\\n","count         24.000000          24.000000  24.000000   \n","mean           0.608046           0.608046   0.406971   \n","std            0.588014           0.588014   0.017857   \n","min            0.108561           0.108561   0.368371   \n","25%            0.147176           0.147176   0.395076   \n","50%            0.188438           0.188438   0.407530   \n","75%            1.183583           1.183583   0.419873   \n","max            1.830538           1.830538   0.438036   \n","\n","       num_incomplete_translations  num_max_output_tokens  eval_time  \n","count                    24.000000               24.00000  24.000000  \n","mean                      0.750000                0.50000   1.152104  \n","std                       1.539339                0.65938   0.096738  \n","min                       0.000000                0.00000   1.015004  \n","25%                       0.000000                0.00000   1.087820  \n","50%                       0.000000                0.00000   1.154016  \n","75%                       1.000000                1.00000   1.204766  \n","max                       6.000000                2.00000   1.309797  "]},"execution_count":359,"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}