{"cells":[{"cell_type":"code","execution_count":1,"metadata":{"executionInfo":{"elapsed":476,"status":"ok","timestamp":1720679526275,"user":{"displayName":"HUANG DONGHAO _","userId":"00977795705617022768"},"user_tz":-480},"id":"uWKRSV6eZsCn"},"outputs":[],"source":["%load_ext autoreload\n","%autoreload 2"]},{"cell_type":"code","execution_count":2,"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":3,"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":3,"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":4,"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 2048\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":5,"metadata":{},"outputs":[{"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: /Users/inflaton/code/engd/papers/rapget-translation/eval_modules/calc_repetitions.py\n","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":["<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 1133 entries, 0 to 1132\n","Data columns (total 85 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"," 56  shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.00    1133 non-null   object\n"," 57  shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.02    1133 non-null   object\n"," 58  shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.04    1133 non-null   object\n"," 59  shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.06    1133 non-null   object\n"," 60  shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.08    1133 non-null   object\n"," 61  shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-210/rpp-1.10    1133 non-null   object\n"," 62  Qwen/Qwen2-72B-Instruct/epochs-01                                 1133 non-null   object\n"," 63  Qwen/Qwen2-72B-Instruct/epochs-02                                 1133 non-null   object\n"," 64  Qwen/Qwen2-72B-Instruct/epochs-03                                 1133 non-null   object\n"," 65  Qwen/Qwen2-72B-Instruct/epochs-04                                 1133 non-null   object\n"," 66  Qwen/Qwen2-72B-Instruct/epochs-05                                 1133 non-null   object\n"," 67  Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.00                   1133 non-null   object\n"," 68  Qwen/Qwen2-72B-Instruct/epochs-06                                 1133 non-null   object\n"," 69  Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.02                   1133 non-null   object\n"," 70  Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.04                   1133 non-null   object\n"," 71  Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.06                   1133 non-null   object\n"," 72  Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.08                   1133 non-null   object\n"," 73  Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.10                   1133 non-null   object\n"," 74  microsoft/Phi-3.5-mini-instruct/shots-00                          1133 non-null   object\n"," 75  microsoft/Phi-3.5-mini-instruct/shots-01                          1133 non-null   object\n"," 76  microsoft/Phi-3.5-mini-instruct/shots-03                          1133 non-null   object\n"," 77  microsoft/Phi-3.5-mini-instruct/shots-05                          1133 non-null   object\n"," 78  microsoft/Phi-3.5-mini-instruct/shots-10                          1133 non-null   object\n"," 79  microsoft/Phi-3.5-mini-instruct/epochs-01                         1133 non-null   object\n"," 80  microsoft/Phi-3.5-mini-instruct/epochs-02                         1133 non-null   object\n"," 81  microsoft/Phi-3.5-mini-instruct/epochs-03                         1133 non-null   object\n"," 82  microsoft/Phi-3.5-mini-instruct/epochs-04                         1133 non-null   object\n"," 83  microsoft/Phi-3.5-mini-instruct/epochs-05                         1133 non-null   object\n"," 84  microsoft/Phi-3.5-mini-instruct/epochs-06                         1133 non-null   object\n","dtypes: object(85)\n","memory usage: 752.5+ 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":6,"metadata":{},"outputs":[{"data":{"text/plain":["['Qwen/Qwen2-72B-Instruct/epochs-01',\n"," 'Qwen/Qwen2-72B-Instruct/epochs-02',\n"," 'Qwen/Qwen2-72B-Instruct/epochs-03',\n"," 'Qwen/Qwen2-72B-Instruct/epochs-04',\n"," 'Qwen/Qwen2-72B-Instruct/epochs-05',\n"," 'Qwen/Qwen2-72B-Instruct/epochs-06',\n"," 'Qwen/Qwen2-7B-Instruct/epochs-01',\n"," 'Qwen/Qwen2-7B-Instruct/epochs-02',\n"," 'Qwen/Qwen2-7B-Instruct/epochs-03',\n"," 'Qwen/Qwen2-7B-Instruct/epochs-04',\n"," 'Qwen/Qwen2-7B-Instruct/epochs-05',\n"," 'Qwen/Qwen2-7B-Instruct/epochs-06',\n"," 'internlm/internlm2_5-7b-chat/epochs-01',\n"," 'internlm/internlm2_5-7b-chat/epochs-02',\n"," 'internlm/internlm2_5-7b-chat/epochs-03',\n"," 'internlm/internlm2_5-7b-chat/epochs-04',\n"," 'internlm/internlm2_5-7b-chat/epochs-05',\n"," 'internlm/internlm2_5-7b-chat/epochs-06',\n"," 'microsoft/Phi-3.5-mini-instruct/epochs-01',\n"," 'microsoft/Phi-3.5-mini-instruct/epochs-02',\n"," 'microsoft/Phi-3.5-mini-instruct/epochs-03',\n"," 'microsoft/Phi-3.5-mini-instruct/epochs-04',\n"," 'microsoft/Phi-3.5-mini-instruct/epochs-05',\n"," 'microsoft/Phi-3.5-mini-instruct/epochs-06',\n"," 'shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-01',\n"," 'shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-02',\n"," 'shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-03',\n"," 'shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-04',\n"," 'shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-05',\n"," 'shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-06',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-01',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-02',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-03',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-04',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-05',\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-06',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-01',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-02',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-03',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-04',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-05',\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-06']"]},"execution_count":6,"metadata":{},"output_type":"execute_result"}],"source":["result_columns = [col for col in df.columns[2:].to_list() if \"rpp\" not in col and \"shots\" not in col]\n","result_columns.sort()\n","result_columns"]},{"cell_type":"code","execution_count":7,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 1133 entries, 0 to 1132\n","Data columns (total 20 columns):\n"," #   Column                 Non-Null Count  Dtype \n","---  ------                 --------------  ----- \n"," 0   chinese                1133 non-null   object\n"," 1   english                1133 non-null   object\n"," 2   gpt-4o-mini/shots-00   1133 non-null   object\n"," 3   gpt-4o-mini/shots-01   1133 non-null   object\n"," 4   gpt-4o-mini/shots-03   1133 non-null   object\n"," 5   gpt-4o-mini/shots-05   1133 non-null   object\n"," 6   gpt-4o-mini/shots-10   1133 non-null   object\n"," 7   gpt-4o-mini/shots-50   1133 non-null   object\n"," 8   gpt-4o/shots-00        1133 non-null   object\n"," 9   gpt-4o/shots-01        1133 non-null   object\n"," 10  gpt-4o/shots-03        1133 non-null   object\n"," 11  gpt-4o/shots-05        1133 non-null   object\n"," 12  gpt-4o/shots-10        1133 non-null   object\n"," 13  gpt-4o/shots-50        1133 non-null   object\n"," 14  gpt-4o-mini/epochs-01  1133 non-null   object\n"," 15  gpt-4o-mini/epochs-02  1133 non-null   object\n"," 16  gpt-4o-mini/epochs-03  1133 non-null   object\n"," 17  gpt-4o-mini/epochs-04  1133 non-null   object\n"," 18  gpt-4o-mini/epochs-05  1133 non-null   object\n"," 19  gpt-4o-mini/epochs-06  1133 non-null   object\n","dtypes: object(20)\n","memory usage: 177.2+ KB\n"]}],"source":["df_openai = pd.read_csv(\"results/mac-results_few_shots_openai.csv\")\n","df_openai.info()"]},{"cell_type":"code","execution_count":8,"metadata":{},"outputs":[{"data":{"text/plain":["['gpt-4o-mini/epochs-01',\n"," 'gpt-4o-mini/epochs-02',\n"," 'gpt-4o-mini/epochs-03',\n"," 'gpt-4o-mini/epochs-04',\n"," 'gpt-4o-mini/epochs-05',\n"," 'gpt-4o-mini/epochs-06']"]},"execution_count":8,"metadata":{},"output_type":"execute_result"}],"source":["openai_cols = df_openai.columns[2:].tolist()\n","openai_cols = [col for col in openai_cols if \"epochs\" in col]\n","openai_cols"]},{"cell_type":"code","execution_count":9,"metadata":{},"outputs":[{"data":{"text/plain":["(['Qwen/Qwen2-72B-Instruct/epochs-01',\n","  'Qwen/Qwen2-72B-Instruct/epochs-02',\n","  'Qwen/Qwen2-72B-Instruct/epochs-03',\n","  'Qwen/Qwen2-72B-Instruct/epochs-04',\n","  'Qwen/Qwen2-72B-Instruct/epochs-05',\n","  'Qwen/Qwen2-72B-Instruct/epochs-06',\n","  'Qwen/Qwen2-7B-Instruct/epochs-01',\n","  'Qwen/Qwen2-7B-Instruct/epochs-02',\n","  'Qwen/Qwen2-7B-Instruct/epochs-03',\n","  'Qwen/Qwen2-7B-Instruct/epochs-04',\n","  'Qwen/Qwen2-7B-Instruct/epochs-05',\n","  'Qwen/Qwen2-7B-Instruct/epochs-06',\n","  'internlm/internlm2_5-7b-chat/epochs-01',\n","  'internlm/internlm2_5-7b-chat/epochs-02',\n","  'internlm/internlm2_5-7b-chat/epochs-03',\n","  'internlm/internlm2_5-7b-chat/epochs-04',\n","  'internlm/internlm2_5-7b-chat/epochs-05',\n","  'internlm/internlm2_5-7b-chat/epochs-06',\n","  'microsoft/Phi-3.5-mini-instruct/epochs-01',\n","  'microsoft/Phi-3.5-mini-instruct/epochs-02',\n","  'microsoft/Phi-3.5-mini-instruct/epochs-03',\n","  'microsoft/Phi-3.5-mini-instruct/epochs-04',\n","  'microsoft/Phi-3.5-mini-instruct/epochs-05',\n","  'microsoft/Phi-3.5-mini-instruct/epochs-06',\n","  'shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-01',\n","  'shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-02',\n","  'shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-03',\n","  'shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-04',\n","  'shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-05',\n","  'shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-06',\n","  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-01',\n","  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-02',\n","  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-03',\n","  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-04',\n","  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-05',\n","  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-06',\n","  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-01',\n","  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-02',\n","  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-03',\n","  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-04',\n","  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-05',\n","  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-06',\n","  'gpt-4o-mini/epochs-01',\n","  'gpt-4o-mini/epochs-02',\n","  'gpt-4o-mini/epochs-03',\n","  'gpt-4o-mini/epochs-04',\n","  'gpt-4o-mini/epochs-05',\n","  'gpt-4o-mini/epochs-06'],\n"," ['chinese',\n","  'english',\n","  'Qwen/Qwen2-72B-Instruct/epochs-01',\n","  'Qwen/Qwen2-72B-Instruct/epochs-02',\n","  'Qwen/Qwen2-72B-Instruct/epochs-03',\n","  'Qwen/Qwen2-72B-Instruct/epochs-04',\n","  'Qwen/Qwen2-72B-Instruct/epochs-05',\n","  'Qwen/Qwen2-72B-Instruct/epochs-06',\n","  'Qwen/Qwen2-7B-Instruct/epochs-01',\n","  'Qwen/Qwen2-7B-Instruct/epochs-02',\n","  'Qwen/Qwen2-7B-Instruct/epochs-03',\n","  'Qwen/Qwen2-7B-Instruct/epochs-04',\n","  'Qwen/Qwen2-7B-Instruct/epochs-05',\n","  'Qwen/Qwen2-7B-Instruct/epochs-06',\n","  'internlm/internlm2_5-7b-chat/epochs-01',\n","  'internlm/internlm2_5-7b-chat/epochs-02',\n","  'internlm/internlm2_5-7b-chat/epochs-03',\n","  'internlm/internlm2_5-7b-chat/epochs-04',\n","  'internlm/internlm2_5-7b-chat/epochs-05',\n","  'internlm/internlm2_5-7b-chat/epochs-06',\n","  'microsoft/Phi-3.5-mini-instruct/epochs-01',\n","  'microsoft/Phi-3.5-mini-instruct/epochs-02',\n","  'microsoft/Phi-3.5-mini-instruct/epochs-03',\n","  'microsoft/Phi-3.5-mini-instruct/epochs-04',\n","  'microsoft/Phi-3.5-mini-instruct/epochs-05',\n","  'microsoft/Phi-3.5-mini-instruct/epochs-06',\n","  'shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-01',\n","  'shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-02',\n","  'shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-03',\n","  'shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-04',\n","  'shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-05',\n","  'shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-06',\n","  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-01',\n","  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-02',\n","  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-03',\n","  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-04',\n","  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-05',\n","  'shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-06',\n","  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-01',\n","  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-02',\n","  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-03',\n","  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-04',\n","  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-05',\n","  'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-06',\n","  'gpt-4o-mini/epochs-01',\n","  'gpt-4o-mini/epochs-02',\n","  'gpt-4o-mini/epochs-03',\n","  'gpt-4o-mini/epochs-04',\n","  'gpt-4o-mini/epochs-05',\n","  'gpt-4o-mini/epochs-06'])"]},"execution_count":9,"metadata":{},"output_type":"execute_result"}],"source":["columns = df.columns[:2].to_list() + result_columns\n","df = df[columns]\n","df[openai_cols] = df_openai[openai_cols]\n","columns = df.columns.to_list()\n","result_columns = df.columns[2:].to_list()\n","result_columns, columns"]},{"cell_type":"code","execution_count":10,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 1133 entries, 0 to 1132\n","Data columns (total 50 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/Qwen2-72B-Instruct/epochs-01                    1133 non-null   object\n"," 3   Qwen/Qwen2-72B-Instruct/epochs-02                    1133 non-null   object\n"," 4   Qwen/Qwen2-72B-Instruct/epochs-03                    1133 non-null   object\n"," 5   Qwen/Qwen2-72B-Instruct/epochs-04                    1133 non-null   object\n"," 6   Qwen/Qwen2-72B-Instruct/epochs-05                    1133 non-null   object\n"," 7   Qwen/Qwen2-72B-Instruct/epochs-06                    1133 non-null   object\n"," 8   Qwen/Qwen2-7B-Instruct/epochs-01                     1133 non-null   object\n"," 9   Qwen/Qwen2-7B-Instruct/epochs-02                     1133 non-null   object\n"," 10  Qwen/Qwen2-7B-Instruct/epochs-03                     1133 non-null   object\n"," 11  Qwen/Qwen2-7B-Instruct/epochs-04                     1133 non-null   object\n"," 12  Qwen/Qwen2-7B-Instruct/epochs-05                     1133 non-null   object\n"," 13  Qwen/Qwen2-7B-Instruct/epochs-06                     1133 non-null   object\n"," 14  internlm/internlm2_5-7b-chat/epochs-01               1133 non-null   object\n"," 15  internlm/internlm2_5-7b-chat/epochs-02               1133 non-null   object\n"," 16  internlm/internlm2_5-7b-chat/epochs-03               1133 non-null   object\n"," 17  internlm/internlm2_5-7b-chat/epochs-04               1133 non-null   object\n"," 18  internlm/internlm2_5-7b-chat/epochs-05               1133 non-null   object\n"," 19  internlm/internlm2_5-7b-chat/epochs-06               1133 non-null   object\n"," 20  microsoft/Phi-3.5-mini-instruct/epochs-01            1133 non-null   object\n"," 21  microsoft/Phi-3.5-mini-instruct/epochs-02            1133 non-null   object\n"," 22  microsoft/Phi-3.5-mini-instruct/epochs-03            1133 non-null   object\n"," 23  microsoft/Phi-3.5-mini-instruct/epochs-04            1133 non-null   object\n"," 24  microsoft/Phi-3.5-mini-instruct/epochs-05            1133 non-null   object\n"," 25  microsoft/Phi-3.5-mini-instruct/epochs-06            1133 non-null   object\n"," 26  shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-01     1133 non-null   object\n"," 27  shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-02     1133 non-null   object\n"," 28  shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-03     1133 non-null   object\n"," 29  shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-04     1133 non-null   object\n"," 30  shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-05     1133 non-null   object\n"," 31  shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-06     1133 non-null   object\n"," 32  shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-01      1133 non-null   object\n"," 33  shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-02      1133 non-null   object\n"," 34  shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-03      1133 non-null   object\n"," 35  shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-04      1133 non-null   object\n"," 36  shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-05      1133 non-null   object\n"," 37  shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-06      1133 non-null   object\n"," 38  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-01  1133 non-null   object\n"," 39  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-02  1133 non-null   object\n"," 40  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-03  1133 non-null   object\n"," 41  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-04  1133 non-null   object\n"," 42  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-05  1133 non-null   object\n"," 43  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-06  1133 non-null   object\n"," 44  gpt-4o-mini/epochs-01                                1133 non-null   object\n"," 45  gpt-4o-mini/epochs-02                                1133 non-null   object\n"," 46  gpt-4o-mini/epochs-03                                1133 non-null   object\n"," 47  gpt-4o-mini/epochs-04                                1133 non-null   object\n"," 48  gpt-4o-mini/epochs-05                                1133 non-null   object\n"," 49  gpt-4o-mini/epochs-06                                1133 non-null   object\n","dtypes: object(50)\n","memory usage: 442.7+ KB\n"]}],"source":["df.info()"]},{"cell_type":"code","execution_count":11,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["['Qwen/Qwen2-72B-Instruct' 'Qwen/Qwen2-7B-Instruct'\n"," 'internlm/internlm2_5-7b-chat' 'microsoft/Phi-3.5-mini-instruct'\n"," 'shenzhi-wang/Llama3.1-70B-Chinese-Chat'\n"," 'shenzhi-wang/Llama3.1-8B-Chinese-Chat'\n"," 'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat' 'gpt-4o-mini']\n","Qwen/Qwen2-72B-Instruct/epochs-01: {'meteor': 0.4689894616957893, 'sacrebleu': {'score': 18.065844028552757, 'counts': [14500, 6569, 3558, 2049], 'totals': [27672, 26539, 25408, 24278], 'precisions': [52.39953743856606, 24.75225140359471, 14.003463476070529, 8.43973968201664], 'bp': 0.9130227260435708, 'sys_len': 27672, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.18065844028552755, 'precisions': [0.5239953743856606, 0.2475225140359471, 0.1400346347607053, 0.0843973968201664], 'brevity_penalty': 0.9130227260435708, 'length_ratio': 0.9165948989731699, 'translation_length': 27672, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.5032766897887753, 'rouge2': 0.26083423405260786, 'rougeL': 0.4475962917769797, 'rougeLsum': 0.44747369016044936}, 'accuracy': 0.01412180052956752, 'correct_ids': [77, 193, 199, 240, 309, 348, 364, 413, 526, 531, 533, 567, 712, 778, 893, 1011]}\n","Qwen/Qwen2-72B-Instruct/epochs-02: {'meteor': 0.47754228179210856, 'sacrebleu': {'score': 18.979032398968382, 'counts': [14706, 6813, 3790, 2225], 'totals': [28314, 27181, 26049, 24920], 'precisions': [51.938970120788305, 25.065302968985687, 14.549502859994625, 8.928571428571429], 'bp': 0.9358903326437779, 'sys_len': 28314, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.1897903239896837, 'precisions': [0.5193897012078831, 0.25065302968985687, 0.14549502859994626, 0.08928571428571429], 'brevity_penalty': 0.9358903326437776, 'length_ratio': 0.9378602186154356, 'translation_length': 28314, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.5039586664471738, 'rouge2': 0.2660903792230115, 'rougeL': 0.4514345624902345, 'rougeLsum': 0.4511270284250519}, 'accuracy': 0.01500441306266549, 'correct_ids': [41, 77, 133, 193, 199, 272, 348, 364, 413, 526, 567, 658, 712, 778, 893, 952, 1011]}\n","Qwen/Qwen2-72B-Instruct/epochs-03: {'meteor': 0.4630538297359702, 'sacrebleu': {'score': 18.06621920796414, 'counts': [14420, 6497, 3562, 2079], 'totals': [28318, 27185, 26054, 24926], 'precisions': [50.92167525955223, 23.89920912267795, 13.671605127811468, 8.340688437775816], 'bp': 0.9360312994842176, 'sys_len': 28318, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.18066219207964138, 'precisions': [0.5092167525955222, 0.23899209122677947, 0.13671605127811468, 0.08340688437775816], 'brevity_penalty': 0.9360312994842176, 'length_ratio': 0.9379927128188141, 'translation_length': 28318, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.4916723101006017, 'rouge2': 0.2515014648250246, 'rougeL': 0.43661758357695485, 'rougeLsum': 0.43630701463537075}, 'accuracy': 0.01147396293027361, 'correct_ids': [41, 133, 147, 193, 199, 348, 413, 526, 567, 658, 733, 778, 1011]}\n","Qwen/Qwen2-72B-Instruct/epochs-04: {'meteor': 0.4540356277225138, 'sacrebleu': {'score': 16.97559317225705, 'counts': [14256, 6165, 3276, 1882], 'totals': [29217, 28084, 26953, 25825], 'precisions': [48.793510627374474, 21.952001139438828, 12.15449115126331, 7.287512100677638], 'bp': 0.9672458950501656, 'sys_len': 29217, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.16975593172257047, 'precisions': [0.48793510627374476, 0.21952001139438826, 0.12154491151263311, 0.07287512100677639], 'brevity_penalty': 0.9672458950501656, 'length_ratio': 0.9677707850281551, 'translation_length': 29217, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.48071774579619936, 'rouge2': 0.23900679175456324, 'rougeL': 0.4232671091944644, 'rougeLsum': 0.42294130151796044}, 'accuracy': 0.01323918799646955, 'correct_ids': [41, 133, 147, 193, 199, 272, 309, 348, 413, 526, 571, 658, 659, 778, 1011]}\n","Qwen/Qwen2-72B-Instruct/epochs-05: {'meteor': 0.4413334061070922, 'sacrebleu': {'score': 16.09060935737309, 'counts': [13950, 5849, 3064, 1755], 'totals': [29781, 28648, 27517, 26390], 'precisions': [46.841946207313384, 20.416783021502372, 11.134934767598212, 6.650246305418719], 'bp': 0.9863602869568671, 'sys_len': 29781, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.16090609357373092, 'precisions': [0.4684194620731339, 0.20416783021502374, 0.11134934767598212, 0.0665024630541872], 'brevity_penalty': 0.9863602869568671, 'length_ratio': 0.9864524677045379, 'translation_length': 29781, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.4671527789931891, 'rouge2': 0.22943782705604504, 'rougeL': 0.40904622769733756, 'rougeLsum': 0.40864843843679743}, 'accuracy': 0.01235657546337158, 'correct_ids': [41, 133, 147, 199, 309, 348, 364, 413, 526, 571, 658, 659, 778, 1011]}\n","Qwen/Qwen2-72B-Instruct/epochs-06: {'meteor': 0.4392735223455487, 'sacrebleu': {'score': 15.615747677467777, 'counts': [13896, 5707, 2944, 1669], 'totals': [29956, 28823, 27692, 26564], 'precisions': [46.3880357858192, 19.80015959476807, 10.631229235880399, 6.282939316368017], 'bp': 0.9922189733392507, 'sys_len': 29956, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.15615747677467776, 'precisions': [0.46388035785819204, 0.19800159594768066, 0.10631229235880399, 0.06282939316368016], 'brevity_penalty': 0.9922189733392507, 'length_ratio': 0.9922490891023518, 'translation_length': 29956, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.46444013221608194, 'rouge2': 0.22711103579170194, 'rougeL': 0.40767922192429895, 'rougeLsum': 0.406743785063335}, 'accuracy': 0.01323918799646955, 'correct_ids': [41, 133, 147, 199, 272, 309, 348, 364, 413, 526, 571, 658, 659, 778, 1011]}\n","Qwen/Qwen2-7B-Instruct/epochs-01: {'meteor': 0.4067704621958429, 'sacrebleu': {'score': 13.127239146658308, 'counts': [12943, 5069, 2395, 1237], 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1011]}\n","shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-02: {'meteor': 0.41732267989538674, 'sacrebleu': {'score': 14.079363167747625, 'counts': [13317, 5346, 2603, 1382], 'totals': [27703, 26570, 25438, 24307], 'precisions': [48.070606071544596, 20.12043658261197, 10.23272269832534, 5.685604969761797], 'bp': 0.914138058066716, 'sys_len': 27703, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.14079363167747627, 'precisions': [0.48070606071544597, 0.2012043658261197, 0.1023272269832534, 0.05685604969761797], 'brevity_penalty': 0.9141380580667161, 'length_ratio': 0.9176217290493541, 'translation_length': 27703, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.4528082513429932, 'rouge2': 0.21076538916034782, 'rougeL': 0.39732744078725724, 'rougeLsum': 0.39676313342238234}, 'accuracy': 0.00794351279788173, 'correct_ids': [77, 240, 348, 493, 659, 778, 893, 1011, 1039]}\n","shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-03: {'meteor': 0.4334939649612818, 'sacrebleu': {'score': 15.393153718456821, 'counts': [13762, 5726, 2900, 1600], 'totals': [28445, 27312, 26181, 25051], 'precisions': [48.38108630690807, 20.965143526654952, 11.076735036858791, 6.386970580016766], 'bp': 0.9404973404240601, 'sys_len': 28445, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.15393153718456823, 'precisions': [0.48381086306908067, 0.2096514352665495, 0.11076735036858791, 0.06386970580016765], 'brevity_penalty': 0.9404973404240601, 'length_ratio': 0.9421994037760848, 'translation_length': 28445, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.4665197155810231, 'rouge2': 0.22452675695502217, 'rougeL': 0.4095877867204961, 'rougeLsum': 0.4093805679356402}, 'accuracy': 0.0088261253309797, 'correct_ids': [77, 199, 240, 348, 413, 493, 659, 778, 893, 1011]}\n","shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-04: {'meteor': 0.43283989187960353, 'sacrebleu': {'score': 15.400852163016213, 'counts': [13712, 5713, 2907, 1609], 'totals': [28207, 27074, 25944, 24815], 'precisions': [48.612046655085614, 21.101425722094998, 11.204902867715079, 6.483981462824905], 'bp': 0.9321125608358635, 'sys_len': 28207, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.15400852163016213, 'precisions': [0.48612046655085617, 0.21101425722095, 0.11204902867715079, 0.06483981462824905], 'brevity_penalty': 0.9321125608358636, 'length_ratio': 0.934315998675058, 'translation_length': 28207, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.46657734339410295, 'rouge2': 0.225158508576631, 'rougeL': 0.40837421947905117, 'rougeLsum': 0.4079521766136074}, 'accuracy': 0.01059135039717564, 'correct_ids': [41, 77, 133, 199, 240, 348, 413, 419, 659, 778, 893, 1011]}\n","shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-05: {'meteor': 0.429451405009942, 'sacrebleu': {'score': 15.110462885169841, 'counts': [13605, 5645, 2847, 1553], 'totals': [28501, 27368, 26238, 25109], 'precisions': [47.73516718711624, 20.626278865828706, 10.85067459410016, 6.185033255008165], 'bp': 0.9424606807581813, 'sys_len': 28501, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.15110462885169834, 'precisions': [0.4773516718711624, 0.20626278865828704, 0.1085067459410016, 0.06185033255008164], 'brevity_penalty': 0.9424606807581813, 'length_ratio': 0.9440543226233852, 'translation_length': 28501, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.4589857649240361, 'rouge2': 0.2206069607882627, 'rougeL': 0.4033154139162458, 'rougeLsum': 0.4026804683178863}, 'accuracy': 0.01059135039717564, 'correct_ids': [41, 77, 133, 199, 240, 348, 419, 493, 534, 778, 893, 1011]}\n","shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-06: {'meteor': 0.42653230159492395, 'sacrebleu': {'score': 14.685735915467882, 'counts': [13485, 5506, 2742, 1488], 'totals': [28340, 27207, 26077, 24948], 'precisions': [47.582921665490474, 20.237438894402175, 10.515013230049469, 5.964405964405964], 'bp': 0.9368062847868135, 'sys_len': 28340, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.14685735915467885, 'precisions': [0.47582921665490474, 0.20237438894402177, 0.10515013230049469, 0.059644059644059645], 'brevity_penalty': 0.9368062847868135, 'length_ratio': 0.9387214309373965, 'translation_length': 28340, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.45827699263225263, 'rouge2': 0.21684369351968452, 'rougeL': 0.40115441113036854, 'rougeLsum': 0.40091743251925505}, 'accuracy': 0.01059135039717564, 'correct_ids': [41, 77, 133, 199, 240, 348, 413, 419, 534, 778, 893, 1011]}\n","shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-01: {'meteor': 0.37782528005607374, 'sacrebleu': {'score': 11.352361179482934, 'counts': [12112, 4424, 2015, 1008], 'totals': [26784, 25651, 24519, 23390], 'precisions': [45.221027479091994, 17.24689095941679, 8.218116562665688, 4.309533988884138], 'bp': 0.8805879479592296, 'sys_len': 26784, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.11352361179482934, 'precisions': [0.45221027479091996, 0.17246890959416786, 0.08218116562665688, 0.043095339888841386], 'brevity_penalty': 0.8805879479592296, 'length_ratio': 0.8871811858231202, 'translation_length': 26784, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.41882625356309555, 'rouge2': 0.180333062236337, 'rougeL': 0.36550955664727613, 'rougeLsum': 0.3651774873720518}, 'accuracy': 0.00706090026478376, 'correct_ids': [77, 170, 240, 348, 364, 659, 893, 1011]}\n","shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-02: {'meteor': 0.4054562821280484, 'sacrebleu': {'score': 13.468536163754964, 'counts': [12804, 5079, 2460, 1341], 'totals': [27621, 26488, 25356, 24225], 'precisions': [46.356033452807644, 19.174720628209002, 9.70184571699006, 5.535603715170279], 'bp': 0.911185352010841, 'sys_len': 27621, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.13468536163754963, 'precisions': [0.4635603345280765, 0.19174720628209, 0.09701845716990061, 0.055356037151702786], 'brevity_penalty': 0.911185352010841, 'length_ratio': 0.9149055978800927, 'translation_length': 27621, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 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0.37992866588710644}, 'accuracy': 0.01235657546337158, 'correct_ids': [41, 170, 193, 199, 240, 348, 364, 419, 533, 659, 712, 778, 893, 1011]}\n","shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-04: {'meteor': 0.4005844795870538, 'sacrebleu': {'score': 12.830936228203358, 'counts': [12702, 4869, 2317, 1232], 'totals': [28169, 27036, 25906, 24778], 'precisions': [45.092122546061276, 18.009320905459386, 8.94387400602177, 4.972152716119138], 'bp': 0.930767712672891, 'sys_len': 28169, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.12830936228203352, 'precisions': [0.45092122546061275, 0.18009320905459386, 0.08943874006021771, 0.04972152716119138], 'brevity_penalty': 0.930767712672891, 'length_ratio': 0.9330573037429613, 'translation_length': 28169, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.42836766787512365, 'rouge2': 0.19493952918360233, 'rougeL': 0.371917122401075, 'rougeLsum': 0.3715904974850911}, 'accuracy': 0.01147396293027361, 'correct_ids': [41, 133, 170, 193, 240, 348, 364, 419, 533, 658, 659, 778, 1011]}\n","shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-05: {'meteor': 0.3914924089360312, 'sacrebleu': {'score': 12.389839982209974, 'counts': [12527, 4721, 2221, 1169], 'totals': [28795, 27662, 26531, 25402], 'precisions': [43.504080569543326, 17.066734147928567, 8.371339188119558, 4.601999842532084], 'bp': 0.9527088692219498, 'sys_len': 28795, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.12389839982209969, 'precisions': [0.43504080569543324, 0.17066734147928567, 0.08371339188119559, 0.04601999842532084], 'brevity_penalty': 0.9527088692219498, 'length_ratio': 0.9537926465717125, 'translation_length': 28795, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.41749621917319657, 'rouge2': 0.18634872463911994, 'rougeL': 0.3616004177189829, 'rougeLsum': 0.36108461707769735}, 'accuracy': 0.009708737864077669, 'correct_ids': [41, 133, 170, 193, 240, 348, 364, 419, 533, 658, 1011]}\n"]},{"name":"stderr","output_type":"stream","text":["/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:302: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n","  df[new_col] = df[col].apply(contains_chinese)\n","/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:306: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n","  df[new_col] = df[col].apply(lambda x: len(tokenizers[model](x)[\"input_ids\"]))\n"]},{"name":"stdout","output_type":"stream","text":["shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-06: {'meteor': 0.3843671339870232, 'sacrebleu': {'score': 11.760109889558809, 'counts': [12442, 4511, 2075, 1073], 'totals': [29486, 28353, 27222, 26093], 'precisions': [42.19629654751407, 15.910132966529115, 7.622511204173096, 4.112214003755796], 'bp': 0.9764070328637859, 'sys_len': 29486, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.11760109889558817, 'precisions': [0.4219629654751407, 0.15910132966529114, 0.07622511204173095, 0.041122140037557965], 'brevity_penalty': 0.9764070328637862, 'length_ratio': 0.9766810202053661, 'translation_length': 29486, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.4090438819710813, 'rouge2': 0.17512800473307188, 'rougeL': 0.35217836060553437, 'rougeLsum': 0.35178655674754}, 'accuracy': 0.00706090026478376, 'correct_ids': [41, 133, 193, 240, 348, 419, 658, 1011]}\n"]},{"name":"stderr","output_type":"stream","text":["/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:302: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n","  df[new_col] = df[col].apply(contains_chinese)\n","/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:306: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n","  df[new_col] = df[col].apply(lambda x: len(tokenizers[model](x)[\"input_ids\"]))\n"]},{"name":"stdout","output_type":"stream","text":["gpt-4o-mini/epochs-01: {'meteor': 0.3785370331806402, 'sacrebleu': {'score': 12.052844230027103, 'counts': [12818, 4623, 2153, 1081], 'totals': [29097, 27964, 26850, 25740], 'precisions': [44.05265147609719, 16.53196967529681, 8.018621973929237, 4.1996891996892], 'bp': 0.9631327655852462, 'sys_len': 29097, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.12052844230027103, 'precisions': [0.44052651476097193, 0.1653196967529681, 0.08018621973929237, 0.041996891996891994], 'brevity_penalty': 0.9631327655852462, 'length_ratio': 0.9637959589267969, 'translation_length': 29097, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.42443047851518106, 'rouge2': 0.17596493152766832, 'rougeL': 0.36957918240806564, 'rougeLsum': 0.36921849634755544}, 'accuracy': 0.00088261253309797, 'correct_ids': [77]}\n"]},{"name":"stderr","output_type":"stream","text":["/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:297: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n","  df[new_col] = df[\"english\"].apply(\n","/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:302: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n","  df[new_col] = df[col].apply(contains_chinese)\n","/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:306: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n","  df[new_col] = df[col].apply(lambda x: len(tokenizers[model](x)[\"input_ids\"]))\n"]},{"name":"stdout","output_type":"stream","text":["gpt-4o-mini/epochs-02: {'meteor': 0.3785921332515917, 'sacrebleu': {'score': 12.033706874864837, 'counts': [12801, 4628, 2150, 1076], 'totals': [29076, 27943, 26830, 25722], 'precisions': [44.02600082542303, 16.562287513867517, 8.013417815877748, 4.183189487598165], 'bp': 0.9624112877781842, 'sys_len': 29076, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.12033706874864836, 'precisions': [0.4402600082542303, 0.16562287513867516, 0.08013417815877749, 0.04183189487598165], 'brevity_penalty': 0.9624112877781842, 'length_ratio': 0.9631003643590593, 'translation_length': 29076, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.42354000204099773, 'rouge2': 0.17594184965251966, 'rougeL': 0.3692226123830143, 'rougeLsum': 0.36897711811852274}, 'accuracy': 0.00088261253309797, 'correct_ids': [77]}\n"]},{"name":"stderr","output_type":"stream","text":["/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:302: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n","  df[new_col] = df[col].apply(contains_chinese)\n","/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:306: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n","  df[new_col] = df[col].apply(lambda x: len(tokenizers[model](x)[\"input_ids\"]))\n"]},{"name":"stdout","output_type":"stream","text":["gpt-4o-mini/epochs-03: {'meteor': 0.37736228106121694, 'sacrebleu': {'score': 11.933111335430906, 'counts': [12779, 4601, 2124, 1061], 'totals': [29096, 27963, 26848, 25737], 'precisions': [43.920126477866376, 16.453885491542394, 7.911203814064362, 4.122469596301046], 'bp': 0.9630984208616785, 'sys_len': 29096, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.11933111335430906, 'precisions': [0.4392012647786637, 0.16453885491542394, 0.07911203814064362, 0.041224695963010455], 'brevity_penalty': 0.9630984208616785, 'length_ratio': 0.9637628353759523, 'translation_length': 29096, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.42336961319155575, 'rouge2': 0.1748520032985133, 'rougeL': 0.3688450537487206, 'rougeLsum': 0.36846273163776855}, 'accuracy': 0.00088261253309797, 'correct_ids': [77]}\n"]},{"name":"stderr","output_type":"stream","text":["/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:302: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n","  df[new_col] = df[col].apply(contains_chinese)\n","/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:306: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n","  df[new_col] = df[col].apply(lambda x: len(tokenizers[model](x)[\"input_ids\"]))\n"]},{"name":"stdout","output_type":"stream","text":["gpt-4o-mini/epochs-04: {'meteor': 0.37818535038887346, 'sacrebleu': {'score': 11.933285526593995, 'counts': [12797, 4601, 2121, 1061], 'totals': [29110, 27977, 26861, 25749], 'precisions': [43.960838199931295, 16.445651785395146, 7.896206395889952, 4.120548370810517], 'bp': 0.9635791436286372, 'sys_len': 29110, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.11933285526593994, 'precisions': [0.43960838199931296, 0.16445651785395146, 0.07896206395889951, 0.041205483708105166], 'brevity_penalty': 0.9635791436286371, 'length_ratio': 0.9642265650877774, 'translation_length': 29110, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.42366436952994724, 'rouge2': 0.17495883924544925, 'rougeL': 0.369312643768064, 'rougeLsum': 0.36901428642912754}, 'accuracy': 0.00088261253309797, 'correct_ids': [77]}\n"]},{"name":"stderr","output_type":"stream","text":["/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:302: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n","  df[new_col] = df[col].apply(contains_chinese)\n","/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:306: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n","  df[new_col] = df[col].apply(lambda x: len(tokenizers[model](x)[\"input_ids\"]))\n"]},{"name":"stdout","output_type":"stream","text":["gpt-4o-mini/epochs-05: {'meteor': 0.3790673551140706, 'sacrebleu': {'score': 11.955698498650582, 'counts': [12808, 4609, 2126, 1064], 'totals': [29209, 28076, 26959, 25846], 'precisions': [43.849498442260945, 16.416156147599374, 7.88604918580066, 4.116691170780778], 'bp': 0.9669721941455759, 'sys_len': 29209, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.11955698498650584, 'precisions': [0.4384949844226095, 0.16416156147599373, 0.0788604918580066, 0.041166911707807785], 'brevity_penalty': 0.9669721941455759, 'length_ratio': 0.9675057966213978, 'translation_length': 29209, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.424511337578104, 'rouge2': 0.17552506937019113, 'rougeL': 0.3700516961573066, 'rougeLsum': 0.3697358220137848}, 'accuracy': 0.00088261253309797, 'correct_ids': [77]}\n"]},{"name":"stderr","output_type":"stream","text":["/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:302: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n","  df[new_col] = df[col].apply(contains_chinese)\n","/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:306: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n","  df[new_col] = df[col].apply(lambda x: len(tokenizers[model](x)[\"input_ids\"]))\n"]},{"name":"stdout","output_type":"stream","text":["gpt-4o-mini/epochs-06: {'meteor': 0.3792226866395673, 'sacrebleu': {'score': 11.982811850915233, 'counts': [12810, 4617, 2137, 1066], 'totals': [29116, 27983, 26868, 25757], 'precisions': [43.996428080780326, 16.499303148340065, 7.95369956825964, 4.138680746981403], 'bp': 0.9637850995333245, 'sys_len': 29116, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.11982811850915229, 'precisions': [0.43996428080780325, 0.16499303148340064, 0.0795369956825964, 0.04138680746981403], 'brevity_penalty': 0.9637850995333245, 'length_ratio': 0.9644253063928453, 'translation_length': 29116, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.4249704250591366, 'rouge2': 0.17551181343561423, 'rougeL': 0.3702014855827334, 'rougeLsum': 0.369761700076006}, 'accuracy': 0.00088261253309797, 'correct_ids': [77]}\n"]},{"name":"stderr","output_type":"stream","text":["/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:302: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n","  df[new_col] = df[col].apply(contains_chinese)\n","/Users/inflaton/code/engd/papers/rapget-translation/llm_toolkit/translation_utils.py:306: PerformanceWarning: DataFrame is highly fragmented.  This is usually the result of calling `frame.insert` many times, which has poor performance.  Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n","  df[new_col] = df[col].apply(lambda x: len(tokenizers[model](x)[\"input_ids\"]))\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>epochs</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/Qwen2-72B-Instruct</td>\n","      <td>1</td>\n","      <td>0.468989</td>\n","      <td>18.065844</td>\n","      <td>0.180658</td>\n","      <td>0.447596</td>\n","      <td>0.0</td>\n","      <td>0.040600</td>\n","      <td>0.040600</td>\n","      <td>0.468166</td>\n","      <td>1</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>Qwen/Qwen2-72B-Instruct</td>\n","      <td>2</td>\n","      <td>0.477542</td>\n","      <td>18.979032</td>\n","      <td>0.189790</td>\n","      <td>0.451435</td>\n","      <td>0.0</td>\n","      <td>0.081200</td>\n","      <td>0.081200</td>\n","      <td>0.475871</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>Qwen/Qwen2-72B-Instruct</td>\n","      <td>3</td>\n","      <td>0.463054</td>\n","      <td>18.066219</td>\n","      <td>0.180662</td>\n","      <td>0.436618</td>\n","      <td>0.0</td>\n","      <td>0.094440</td>\n","      <td>0.094440</td>\n","      <td>0.461171</td>\n","      <td>2</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>Qwen/Qwen2-72B-Instruct</td>\n","      <td>4</td>\n","      <td>0.454036</td>\n","      <td>16.975593</td>\n","      <td>0.169756</td>\n","      <td>0.423267</td>\n","      <td>0.0</td>\n","      <td>0.120035</td>\n","      <td>0.120035</td>\n","      <td>0.451695</td>\n","      <td>11</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>Qwen/Qwen2-72B-Instruct</td>\n","      <td>5</td>\n","      <td>0.441333</td>\n","      <td>16.090609</td>\n","      <td>0.160906</td>\n","      <td>0.409046</td>\n","      <td>0.0</td>\n","      <td>1.176523</td>\n","      <td>1.176523</td>\n","      <td>0.420996</td>\n","      <td>24</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>Qwen/Qwen2-72B-Instruct</td>\n","      <td>6</td>\n","      <td>0.439274</td>\n","      <td>15.615748</td>\n","      <td>0.156157</td>\n","      <td>0.407679</td>\n","      <td>0.0</td>\n","      <td>0.424537</td>\n","      <td>0.424537</td>\n","      <td>0.431482</td>\n","      <td>32</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>1</td>\n","      <td>0.406770</td>\n","      <td>13.127239</td>\n","      <td>0.131272</td>\n","      <td>0.392371</td>\n","      <td>0.0</td>\n","      <td>0.073257</td>\n","      <td>0.073257</td>\n","      <td>0.405485</td>\n","      <td>7</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>2</td>\n","      <td>0.427677</td>\n","      <td>14.782460</td>\n","      <td>0.147825</td>\n","      <td>0.408637</td>\n","      <td>0.0</td>\n","      <td>2.097087</td>\n","      <td>2.097087</td>\n","      <td>0.395017</td>\n","      <td>3</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>3</td>\n","      <td>0.444096</td>\n","      <td>15.514758</td>\n","      <td>0.155148</td>\n","      <td>0.418747</td>\n","      <td>0.0</td>\n","      <td>1.640777</td>\n","      <td>1.640777</td>\n","      <td>0.416608</td>\n","      <td>6</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>4</td>\n","      <td>0.440138</td>\n","      <td>15.217827</td>\n","      <td>0.152178</td>\n","      <td>0.415962</td>\n","      <td>0.0</td>\n","      <td>0.714034</td>\n","      <td>0.714034</td>\n","      <td>0.427338</td>\n","      <td>11</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>10</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>5</td>\n","      <td>0.435675</td>\n","      <td>14.823013</td>\n","      <td>0.148230</td>\n","      <td>0.406247</td>\n","      <td>0.0</td>\n","      <td>0.913504</td>\n","      <td>0.913504</td>\n","      <td>0.419740</td>\n","      <td>12</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>11</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>6</td>\n","      <td>0.436153</td>\n","      <td>14.965352</td>\n","      <td>0.149654</td>\n","      <td>0.408016</td>\n","      <td>0.0</td>\n","      <td>0.167696</td>\n","      <td>0.167696</td>\n","      <td>0.433025</td>\n","      <td>13</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>12</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>1</td>\n","      <td>0.381014</td>\n","      <td>11.999934</td>\n","      <td>0.119999</td>\n","      <td>0.372987</td>\n","      <td>0.0</td>\n","      <td>2.573698</td>\n","      <td>2.573698</td>\n","      <td>0.346545</td>\n","      <td>3</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>13</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>2</td>\n","      <td>0.405713</td>\n","      <td>13.753748</td>\n","      <td>0.137537</td>\n","      <td>0.393768</td>\n","      <td>0.0</td>\n","      <td>1.302736</td>\n","      <td>1.302736</td>\n","      <td>0.385226</td>\n","      <td>1</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>14</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>3</td>\n","      <td>0.420791</td>\n","      <td>14.373117</td>\n","      <td>0.143731</td>\n","      <td>0.404704</td>\n","      <td>0.0</td>\n","      <td>2.699029</td>\n","      <td>2.699029</td>\n","      <td>0.381230</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>15</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>4</td>\n","      <td>0.431093</td>\n","      <td>15.104731</td>\n","      <td>0.151047</td>\n","      <td>0.411498</td>\n","      <td>0.0</td>\n","      <td>1.598411</td>\n","      <td>1.598411</td>\n","      <td>0.405011</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>16</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>5</td>\n","      <td>0.425150</td>\n","      <td>14.854584</td>\n","      <td>0.148546</td>\n","      <td>0.405565</td>\n","      <td>0.0</td>\n","      <td>0.703442</td>\n","      <td>0.703442</td>\n","      <td>0.412958</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>17</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>6</td>\n","      <td>0.425637</td>\n","      <td>14.867310</td>\n","      <td>0.148673</td>\n","      <td>0.406607</td>\n","      <td>0.0</td>\n","      <td>0.689320</td>\n","      <td>0.689320</td>\n","      <td>0.413661</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>18</th>\n","      <td>microsoft/Phi-3.5-mini-instruct</td>\n","      <td>1</td>\n","      <td>0.346101</td>\n","      <td>9.405371</td>\n","      <td>0.094054</td>\n","      <td>0.322777</td>\n","      <td>0.0</td>\n","      <td>3.694616</td>\n","      <td>3.694616</td>\n","      <td>0.304519</td>\n","      <td>3</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>19</th>\n","      <td>microsoft/Phi-3.5-mini-instruct</td>\n","      <td>2</td>\n","      <td>0.356541</td>\n","      <td>10.050233</td>\n","      <td>0.100502</td>\n","      <td>0.339722</td>\n","      <td>0.0</td>\n","      <td>2.666372</td>\n","      <td>2.666372</td>\n","      <td>0.323349</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>20</th>\n","      <td>microsoft/Phi-3.5-mini-instruct</td>\n","      <td>3</td>\n","      <td>0.367523</td>\n","      <td>10.688776</td>\n","      <td>0.106888</td>\n","      <td>0.346121</td>\n","      <td>0.0</td>\n","      <td>2.456311</td>\n","      <td>2.456311</td>\n","      <td>0.335518</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>21</th>\n","      <td>microsoft/Phi-3.5-mini-instruct</td>\n","      <td>4</td>\n","      <td>0.378257</td>\n","      <td>11.274744</td>\n","      <td>0.112747</td>\n","      <td>0.358863</td>\n","      <td>0.0</td>\n","      <td>5.050309</td>\n","      <td>5.050309</td>\n","      <td>0.321225</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>22</th>\n","      <td>microsoft/Phi-3.5-mini-instruct</td>\n","      <td>5</td>\n","      <td>0.380318</td>\n","      <td>11.472004</td>\n","      <td>0.114720</td>\n","      <td>0.361402</td>\n","      <td>0.0</td>\n","      <td>3.442189</td>\n","      <td>3.442189</td>\n","      <td>0.337021</td>\n","      <td>1</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>23</th>\n","      <td>microsoft/Phi-3.5-mini-instruct</td>\n","      <td>6</td>\n","      <td>0.381069</td>\n","      <td>11.286091</td>\n","      <td>0.112861</td>\n","      <td>0.359407</td>\n","      <td>0.0</td>\n","      <td>4.394528</td>\n","      <td>4.394528</td>\n","      <td>0.329019</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>24</th>\n","      <td>shenzhi-wang/Llama3.1-70B-Chinese-Chat</td>\n","      <td>1</td>\n","      <td>0.429608</td>\n","      <td>15.325299</td>\n","      <td>0.153253</td>\n","      <td>0.417687</td>\n","      <td>0.0</td>\n","      <td>0.841130</td>\n","      <td>0.841130</td>\n","      <td>0.415050</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>25</th>\n","      <td>shenzhi-wang/Llama3.1-70B-Chinese-Chat</td>\n","      <td>2</td>\n","      <td>0.455615</td>\n","      <td>17.389741</td>\n","      <td>0.173897</td>\n","      <td>0.437795</td>\n","      <td>0.0</td>\n","      <td>0.130627</td>\n","      <td>0.130627</td>\n","      <td>0.453062</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>26</th>\n","      <td>shenzhi-wang/Llama3.1-70B-Chinese-Chat</td>\n","      <td>3</td>\n","      <td>0.460877</td>\n","      <td>17.719650</td>\n","      <td>0.177196</td>\n","      <td>0.433571</td>\n","      <td>0.0</td>\n","      <td>0.076787</td>\n","      <td>0.076787</td>\n","      <td>0.459351</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>27</th>\n","      <td>shenzhi-wang/Llama3.1-70B-Chinese-Chat</td>\n","      <td>4</td>\n","      <td>0.446636</td>\n","      <td>16.467606</td>\n","      <td>0.164676</td>\n","      <td>0.417982</td>\n","      <td>0.0</td>\n","      <td>0.087379</td>\n","      <td>0.087379</td>\n","      <td>0.444955</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>28</th>\n","      <td>shenzhi-wang/Llama3.1-70B-Chinese-Chat</td>\n","      <td>5</td>\n","      <td>0.437621</td>\n","      <td>15.619591</td>\n","      <td>0.156196</td>\n","      <td>0.410065</td>\n","      <td>0.0</td>\n","      <td>0.083848</td>\n","      <td>0.083848</td>\n","      <td>0.436040</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>29</th>\n","      <td>shenzhi-wang/Llama3.1-70B-Chinese-Chat</td>\n","      <td>6</td>\n","      <td>0.429413</td>\n","      <td>14.903520</td>\n","      <td>0.149035</td>\n","      <td>0.397632</td>\n","      <td>0.0</td>\n","      <td>0.159753</td>\n","      <td>0.159753</td>\n","      <td>0.426477</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>30</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>1</td>\n","      <td>0.392366</td>\n","      <td>12.373115</td>\n","      <td>0.123731</td>\n","      <td>0.371004</td>\n","      <td>0.0</td>\n","      <td>1.023831</td>\n","      <td>1.023831</td>\n","      <td>0.376431</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>31</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>2</td>\n","      <td>0.417323</td>\n","      <td>14.079363</td>\n","      <td>0.140794</td>\n","      <td>0.397327</td>\n","      <td>0.0</td>\n","      <td>0.211827</td>\n","      <td>0.211827</td>\n","      <td>0.413558</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>32</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>3</td>\n","      <td>0.433494</td>\n","      <td>15.393154</td>\n","      <td>0.153932</td>\n","      <td>0.409588</td>\n","      <td>0.0</td>\n","      <td>0.765225</td>\n","      <td>0.765225</td>\n","      <td>0.420043</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>33</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>4</td>\n","      <td>0.432840</td>\n","      <td>15.400852</td>\n","      <td>0.154009</td>\n","      <td>0.408374</td>\n","      <td>0.0</td>\n","      <td>0.141218</td>\n","      <td>0.141218</td>\n","      <td>0.430220</td>\n","      <td>1</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>34</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>5</td>\n","      <td>0.429451</td>\n","      <td>15.110463</td>\n","      <td>0.151105</td>\n","      <td>0.403315</td>\n","      <td>0.0</td>\n","      <td>0.167696</td>\n","      <td>0.167696</td>\n","      <td>0.426372</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>35</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>6</td>\n","      <td>0.426532</td>\n","      <td>14.685736</td>\n","      <td>0.146857</td>\n","      <td>0.401154</td>\n","      <td>0.0</td>\n","      <td>0.164166</td>\n","      <td>0.164166</td>\n","      <td>0.423537</td>\n","      <td>1</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>36</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>1</td>\n","      <td>0.377825</td>\n","      <td>11.352361</td>\n","      <td>0.113524</td>\n","      <td>0.365510</td>\n","      <td>0.0</td>\n","      <td>1.021183</td>\n","      <td>1.021183</td>\n","      <td>0.362517</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>37</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>2</td>\n","      <td>0.405456</td>\n","      <td>13.468536</td>\n","      <td>0.134685</td>\n","      <td>0.385390</td>\n","      <td>0.0</td>\n","      <td>1.542807</td>\n","      <td>1.542807</td>\n","      <td>0.381674</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>38</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>3</td>\n","      <td>0.402731</td>\n","      <td>13.298446</td>\n","      <td>0.132984</td>\n","      <td>0.380210</td>\n","      <td>0.0</td>\n","      <td>0.653133</td>\n","      <td>0.653133</td>\n","      <td>0.391961</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>39</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>4</td>\n","      <td>0.400584</td>\n","      <td>12.830936</td>\n","      <td>0.128309</td>\n","      <td>0.371917</td>\n","      <td>0.0</td>\n","      <td>1.160635</td>\n","      <td>1.160635</td>\n","      <td>0.382351</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>40</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>5</td>\n","      <td>0.391492</td>\n","      <td>12.389840</td>\n","      <td>0.123898</td>\n","      <td>0.361600</td>\n","      <td>0.0</td>\n","      <td>1.212710</td>\n","      <td>1.212710</td>\n","      <td>0.372953</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>41</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>6</td>\n","      <td>0.384367</td>\n","      <td>11.760110</td>\n","      <td>0.117601</td>\n","      <td>0.352178</td>\n","      <td>0.0</td>\n","      <td>1.236540</td>\n","      <td>1.236540</td>\n","      <td>0.365844</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>42</th>\n","      <td>gpt-4o-mini</td>\n","      <td>1</td>\n","      <td>0.378537</td>\n","      <td>12.052844</td>\n","      <td>0.120528</td>\n","      <td>0.369579</td>\n","      <td>0.0</td>\n","      <td>0.095322</td>\n","      <td>0.095322</td>\n","      <td>0.376984</td>\n","      <td>25</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>43</th>\n","      <td>gpt-4o-mini</td>\n","      <td>2</td>\n","      <td>0.378592</td>\n","      <td>12.033707</td>\n","      <td>0.120337</td>\n","      <td>0.369223</td>\n","      <td>0.0</td>\n","      <td>0.095322</td>\n","      <td>0.095322</td>\n","      <td>0.377039</td>\n","      <td>27</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>44</th>\n","      <td>gpt-4o-mini</td>\n","      <td>3</td>\n","      <td>0.377362</td>\n","      <td>11.933111</td>\n","      <td>0.119331</td>\n","      <td>0.368845</td>\n","      <td>0.0</td>\n","      <td>0.095322</td>\n","      <td>0.095322</td>\n","      <td>0.375814</td>\n","      <td>24</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>45</th>\n","      <td>gpt-4o-mini</td>\n","      <td>4</td>\n","      <td>0.378185</td>\n","      <td>11.933286</td>\n","      <td>0.119333</td>\n","      <td>0.369313</td>\n","      <td>0.0</td>\n","      <td>0.095322</td>\n","      <td>0.095322</td>\n","      <td>0.376634</td>\n","      <td>24</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>46</th>\n","      <td>gpt-4o-mini</td>\n","      <td>5</td>\n","      <td>0.379067</td>\n","      <td>11.955698</td>\n","      <td>0.119557</td>\n","      <td>0.370052</td>\n","      <td>0.0</td>\n","      <td>0.095322</td>\n","      <td>0.095322</td>\n","      <td>0.377512</td>\n","      <td>23</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>47</th>\n","      <td>gpt-4o-mini</td>\n","      <td>6</td>\n","      <td>0.379223</td>\n","      <td>11.982812</td>\n","      <td>0.119828</td>\n","      <td>0.370201</td>\n","      <td>0.0</td>\n","      <td>0.095322</td>\n","      <td>0.095322</td>\n","      <td>0.377667</td>\n","      <td>25</td>\n","      <td>0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                                        model  epochs    meteor     spbleu  \\\n","0                     Qwen/Qwen2-72B-Instruct       1  0.468989  18.065844   \n","1                     Qwen/Qwen2-72B-Instruct       2  0.477542  18.979032   \n","2                     Qwen/Qwen2-72B-Instruct       3  0.463054  18.066219   \n","3                     Qwen/Qwen2-72B-Instruct       4  0.454036  16.975593   \n","4                     Qwen/Qwen2-72B-Instruct       5  0.441333  16.090609   \n","5                     Qwen/Qwen2-72B-Instruct       6  0.439274  15.615748   \n","6                      Qwen/Qwen2-7B-Instruct       1  0.406770  13.127239   \n","7                      Qwen/Qwen2-7B-Instruct       2  0.427677  14.782460   \n","8                      Qwen/Qwen2-7B-Instruct       3  0.444096  15.514758   \n","9                      Qwen/Qwen2-7B-Instruct       4  0.440138  15.217827   \n","10                     Qwen/Qwen2-7B-Instruct       5  0.435675  14.823013   \n","11                     Qwen/Qwen2-7B-Instruct       6  0.436153  14.965352   \n","12               internlm/internlm2_5-7b-chat       1  0.381014  11.999934   \n","13               internlm/internlm2_5-7b-chat       2  0.405713  13.753748   \n","14               internlm/internlm2_5-7b-chat       3  0.420791  14.373117   \n","15               internlm/internlm2_5-7b-chat       4  0.431093  15.104731   \n","16               internlm/internlm2_5-7b-chat       5  0.425150  14.854584   \n","17               internlm/internlm2_5-7b-chat       6  0.425637  14.867310   \n","18            microsoft/Phi-3.5-mini-instruct       1  0.346101   9.405371   \n","19            microsoft/Phi-3.5-mini-instruct       2  0.356541  10.050233   \n","20            microsoft/Phi-3.5-mini-instruct       3  0.367523  10.688776   \n","21            microsoft/Phi-3.5-mini-instruct       4  0.378257  11.274744   \n","22            microsoft/Phi-3.5-mini-instruct       5  0.380318  11.472004   \n","23            microsoft/Phi-3.5-mini-instruct       6  0.381069  11.286091   \n","24     shenzhi-wang/Llama3.1-70B-Chinese-Chat       1  0.429608  15.325299   \n","25     shenzhi-wang/Llama3.1-70B-Chinese-Chat       2  0.455615  17.389741   \n","26     shenzhi-wang/Llama3.1-70B-Chinese-Chat       3  0.460877  17.719650   \n","27     shenzhi-wang/Llama3.1-70B-Chinese-Chat       4  0.446636  16.467606   \n","28     shenzhi-wang/Llama3.1-70B-Chinese-Chat       5  0.437621  15.619591   \n","29     shenzhi-wang/Llama3.1-70B-Chinese-Chat       6  0.429413  14.903520   \n","30      shenzhi-wang/Llama3.1-8B-Chinese-Chat       1  0.392366  12.373115   \n","31      shenzhi-wang/Llama3.1-8B-Chinese-Chat       2  0.417323  14.079363   \n","32      shenzhi-wang/Llama3.1-8B-Chinese-Chat       3  0.433494  15.393154   \n","33      shenzhi-wang/Llama3.1-8B-Chinese-Chat       4  0.432840  15.400852   \n","34      shenzhi-wang/Llama3.1-8B-Chinese-Chat       5  0.429451  15.110463   \n","35      shenzhi-wang/Llama3.1-8B-Chinese-Chat       6  0.426532  14.685736   \n","36  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat       1  0.377825  11.352361   \n","37  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat       2  0.405456  13.468536   \n","38  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat       3  0.402731  13.298446   \n","39  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat       4  0.400584  12.830936   \n","40  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat       5  0.391492  12.389840   \n","41  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat       6  0.384367  11.760110   \n","42                                gpt-4o-mini       1  0.378537  12.052844   \n","43                                gpt-4o-mini       2  0.378592  12.033707   \n","44                                gpt-4o-mini       3  0.377362  11.933111   \n","45                                gpt-4o-mini       4  0.378185  11.933286   \n","46                                gpt-4o-mini       5  0.379067  11.955698   \n","47                                gpt-4o-mini       6  0.379223  11.982812   \n","\n","      bleu_1   rouge_l  ews_score  repetition_score  total_repetitions  \\\n","0   0.180658  0.447596        0.0          0.040600           0.040600   \n","1   0.189790  0.451435        0.0          0.081200           0.081200   \n","2   0.180662  0.436618        0.0          0.094440           0.094440   \n","3   0.169756  0.423267        0.0          0.120035           0.120035   \n","4   0.160906  0.409046        0.0          1.176523           1.176523   \n","5   0.156157  0.407679        0.0          0.424537           0.424537   \n","6   0.131272  0.392371        0.0          0.073257           0.073257   \n","7   0.147825  0.408637        0.0          2.097087           2.097087   \n","8   0.155148  0.418747        0.0          1.640777           1.640777   \n","9   0.152178  0.415962        0.0          0.714034           0.714034   \n","10  0.148230  0.406247        0.0          0.913504           0.913504   \n","11  0.149654  0.408016        0.0          0.167696           0.167696   \n","12  0.119999  0.372987        0.0          2.573698           2.573698   \n","13  0.137537  0.393768        0.0          1.302736           1.302736   \n","14  0.143731  0.404704        0.0          2.699029           2.699029   \n","15  0.151047  0.411498        0.0          1.598411           1.598411   \n","16  0.148546  0.405565        0.0          0.703442           0.703442   \n","17  0.148673  0.406607        0.0          0.689320           0.689320   \n","18  0.094054  0.322777        0.0          3.694616           3.694616   \n","19  0.100502  0.339722        0.0          2.666372           2.666372   \n","20  0.106888  0.346121        0.0          2.456311           2.456311   \n","21  0.112747  0.358863        0.0          5.050309           5.050309   \n","22  0.114720  0.361402        0.0          3.442189           3.442189   \n","23  0.112861  0.359407        0.0          4.394528           4.394528   \n","24  0.153253  0.417687        0.0          0.841130           0.841130   \n","25  0.173897  0.437795        0.0          0.130627           0.130627   \n","26  0.177196  0.433571        0.0          0.076787           0.076787   \n","27  0.164676  0.417982        0.0          0.087379           0.087379   \n","28  0.156196  0.410065        0.0          0.083848           0.083848   \n","29  0.149035  0.397632        0.0          0.159753           0.159753   \n","30  0.123731  0.371004        0.0          1.023831           1.023831   \n","31  0.140794  0.397327        0.0          0.211827           0.211827   \n","32  0.153932  0.409588        0.0          0.765225           0.765225   \n","33  0.154009  0.408374        0.0          0.141218           0.141218   \n","34  0.151105  0.403315        0.0          0.167696           0.167696   \n","35  0.146857  0.401154        0.0          0.164166           0.164166   \n","36  0.113524  0.365510        0.0          1.021183           1.021183   \n","37  0.134685  0.385390        0.0          1.542807           1.542807   \n","38  0.132984  0.380210        0.0          0.653133           0.653133   \n","39  0.128309  0.371917        0.0          1.160635           1.160635   \n","40  0.123898  0.361600        0.0          1.212710           1.212710   \n","41  0.117601  0.352178        0.0          1.236540           1.236540   \n","42  0.120528  0.369579        0.0          0.095322           0.095322   \n","43  0.120337  0.369223        0.0          0.095322           0.095322   \n","44  0.119331  0.368845        0.0          0.095322           0.095322   \n","45  0.119333  0.369313        0.0          0.095322           0.095322   \n","46  0.119557  0.370052        0.0          0.095322           0.095322   \n","47  0.119828  0.370201        0.0          0.095322           0.095322   \n","\n","         rap  num_incomplete_translations  num_max_output_tokens  \n","0   0.468166                            1                      0  \n","1   0.475871                            0                      0  \n","2   0.461171                            2                      0  \n","3   0.451695                           11                      0  \n","4   0.420996                           24                      0  \n","5   0.431482                           32                      0  \n","6   0.405485                            7                      0  \n","7   0.395017                            3                      0  \n","8   0.416608                            6                      0  \n","9   0.427338                           11                      0  \n","10  0.419740                           12                      0  \n","11  0.433025                           13                      0  \n","12  0.346545                            3                      0  \n","13  0.385226                            1                      0  \n","14  0.381230                            0                      0  \n","15  0.405011                            0                      0  \n","16  0.412958                            0                      0  \n","17  0.413661                            0                      0  \n","18  0.304519                            3                      0  \n","19  0.323349                            0                      0  \n","20  0.335518                            0                      0  \n","21  0.321225                            0                      0  \n","22  0.337021                            1                      0  \n","23  0.329019                            0                      0  \n","24  0.415050                            0                      0  \n","25  0.453062                            0                      0  \n","26  0.459351                            0                      0  \n","27  0.444955                            0                      0  \n","28  0.436040                            0                      0  \n","29  0.426477                            0                      0  \n","30  0.376431                            0                      0  \n","31  0.413558                            0                      0  \n","32  0.420043                            0                      0  \n","33  0.430220                            1                      0  \n","34  0.426372                            0                      0  \n","35  0.423537                            1                      0  \n","36  0.362517                            0                      0  \n","37  0.381674                            0                      0  \n","38  0.391961                            0                      0  \n","39  0.382351                            0                      0  \n","40  0.372953                            0                      0  \n","41  0.365844                            0                      0  \n","42  0.376984                           25                      0  \n","43  0.377039                           27                      0  \n","44  0.375814                           24                      0  \n","45  0.376634                           24                      0  \n","46  0.377512                           23                      0  \n","47  0.377667                           25                      0  "]},"execution_count":11,"metadata":{},"output_type":"execute_result"}],"source":["variant = \"epochs\"\n","metrics_df = get_metrics(df, max_output_tokens=max_new_tokens, variant=variant)\n","metrics_df"]},{"cell_type":"code","execution_count":12,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["Loading content of logs/l40-1gpu-1.txt\n","Error processing log file: logs/l40-1gpu-1.txt\n","'utf-8' codec can't decode byte 0xe2 in position 0: unexpected end of data\n","Loading content of logs/l40-1gpu-2.txt\n","Loading content of logs/l40-1gpu-3.txt\n","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-rpp-4.txt\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/l40-4gpu-5.txt\n","Loading content of logs/l40-4gpu-6.txt\n","Loading content of logs/l40-4gpu-7.txt\n","Loading content of logs/l40-4gpu-8.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","Loading content of logs/tune-qwen2-70b.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>epochs</th>\n","      <th>eval_time</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>microsoft/Phi-3.5-mini-instruct</td>\n","      <td>1</td>\n","      <td>1.702560</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>microsoft/Phi-3.5-mini-instruct</td>\n","      <td>2</td>\n","      <td>1.654016</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>microsoft/Phi-3.5-mini-instruct</td>\n","      <td>3</td>\n","      <td>1.641659</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>microsoft/Phi-3.5-mini-instruct</td>\n","      <td>4</td>\n","      <td>1.696381</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>microsoft/Phi-3.5-mini-instruct</td>\n","      <td>5</td>\n","      <td>1.696381</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>microsoft/Phi-3.5-mini-instruct</td>\n","      <td>6</td>\n","      <td>1.701677</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>1</td>\n","      <td>1.536628</td>\n","    </tr>\n","    <tr>\n","      <th>10</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>2</td>\n","      <td>1.565755</td>\n","    </tr>\n","    <tr>\n","      <th>11</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>3</td>\n","      <td>1.598411</td>\n","    </tr>\n","    <tr>\n","      <th>12</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>4</td>\n","      <td>1.556929</td>\n","    </tr>\n","    <tr>\n","      <th>13</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>5</td>\n","      <td>1.578111</td>\n","    </tr>\n","    <tr>\n","      <th>14</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>6</td>\n","      <td>1.556046</td>\n","    </tr>\n","    <tr>\n","      <th>15</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>1</td>\n","      <td>1.173875</td>\n","    </tr>\n","    <tr>\n","      <th>16</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>2</td>\n","      <td>1.263019</td>\n","    </tr>\n","    <tr>\n","      <th>17</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>3</td>\n","      <td>1.269197</td>\n","    </tr>\n","    <tr>\n","      <th>18</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>4</td>\n","      <td>1.234775</td>\n","    </tr>\n","    <tr>\n","      <th>19</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>5</td>\n","      <td>1.262136</td>\n","    </tr>\n","    <tr>\n","      <th>20</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>6</td>\n","      <td>1.238305</td>\n","    </tr>\n","    <tr>\n","      <th>21</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>1</td>\n","      <td>1.324801</td>\n","    </tr>\n","    <tr>\n","      <th>22</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>2</td>\n","      <td>1.376876</td>\n","    </tr>\n","    <tr>\n","      <th>23</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>3</td>\n","      <td>1.372462</td>\n","    </tr>\n","    <tr>\n","      <th>24</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>4</td>\n","      <td>1.421006</td>\n","    </tr>\n","    <tr>\n","      <th>25</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>5</td>\n","      <td>1.456311</td>\n","    </tr>\n","    <tr>\n","      <th>26</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>6</td>\n","      <td>1.497793</td>\n","    </tr>\n","    <tr>\n","      <th>27</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>1</td>\n","      <td>1.225949</td>\n","    </tr>\n","    <tr>\n","      <th>28</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>2</td>\n","      <td>1.198588</td>\n","    </tr>\n","    <tr>\n","      <th>29</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>3</td>\n","      <td>1.234775</td>\n","    </tr>\n","    <tr>\n","      <th>30</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>4</td>\n","      <td>1.218888</td>\n","    </tr>\n","    <tr>\n","      <th>31</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>5</td>\n","      <td>1.235658</td>\n","    </tr>\n","    <tr>\n","      <th>32</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>6</td>\n","      <td>1.230362</td>\n","    </tr>\n","    <tr>\n","      <th>33</th>\n","      <td>shenzhi-wang/Llama3.1-70B-Chinese-Chat</td>\n","      <td>1</td>\n","      <td>15.308914</td>\n","    </tr>\n","    <tr>\n","      <th>34</th>\n","      <td>shenzhi-wang/Llama3.1-70B-Chinese-Chat</td>\n","      <td>2</td>\n","      <td>15.309797</td>\n","    </tr>\n","    <tr>\n","      <th>35</th>\n","      <td>shenzhi-wang/Llama3.1-70B-Chinese-Chat</td>\n","      <td>3</td>\n","      <td>16.096205</td>\n","    </tr>\n","    <tr>\n","      <th>36</th>\n","      <td>shenzhi-wang/Llama3.1-70B-Chinese-Chat</td>\n","      <td>4</td>\n","      <td>16.263019</td>\n","    </tr>\n","    <tr>\n","      <th>37</th>\n","      <td>shenzhi-wang/Llama3.1-70B-Chinese-Chat</td>\n","      <td>5</td>\n","      <td>16.224184</td>\n","    </tr>\n","    <tr>\n","      <th>38</th>\n","      <td>shenzhi-wang/Llama3.1-70B-Chinese-Chat</td>\n","      <td>6</td>\n","      <td>16.559576</td>\n","    </tr>\n","    <tr>\n","      <th>39</th>\n","      <td>Qwen/Qwen2-72B-Instruct</td>\n","      <td>1</td>\n","      <td>15.127979</td>\n","    </tr>\n","    <tr>\n","      <th>40</th>\n","      <td>Qwen/Qwen2-72B-Instruct</td>\n","      <td>2</td>\n","      <td>15.532215</td>\n","    </tr>\n","    <tr>\n","      <th>41</th>\n","      <td>Qwen/Qwen2-72B-Instruct</td>\n","      <td>3</td>\n","      <td>15.616064</td>\n","    </tr>\n","    <tr>\n","      <th>42</th>\n","      <td>Qwen/Qwen2-72B-Instruct</td>\n","      <td>4</td>\n","      <td>16.109444</td>\n","    </tr>\n","    <tr>\n","      <th>43</th>\n","      <td>Qwen/Qwen2-72B-Instruct</td>\n","      <td>5</td>\n","      <td>16.624007</td>\n","    </tr>\n","    <tr>\n","      <th>44</th>\n","      <td>Qwen/Qwen2-72B-Instruct</td>\n","      <td>6</td>\n","      <td>16.712268</td>\n","    </tr>\n","    <tr>\n","      <th>45</th>\n","      <td>gpt-4o-mini</td>\n","      <td>1</td>\n","      <td>0.889673</td>\n","    </tr>\n","    <tr>\n","      <th>46</th>\n","      <td>gpt-4o-mini</td>\n","      <td>2</td>\n","      <td>0.949691</td>\n","    </tr>\n","    <tr>\n","      <th>47</th>\n","      <td>gpt-4o-mini</td>\n","      <td>3</td>\n","      <td>0.902030</td>\n","    </tr>\n","    <tr>\n","      <th>48</th>\n","      <td>gpt-4o-mini</td>\n","      <td>4</td>\n","      <td>0.984113</td>\n","    </tr>\n","    <tr>\n","      <th>49</th>\n","      <td>gpt-4o-mini</td>\n","      <td>5</td>\n","      <td>0.835834</td>\n","    </tr>\n","    <tr>\n","      <th>50</th>\n","      <td>gpt-4o-mini</td>\n","      <td>6</td>\n","      <td>0.832304</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                                        model  epochs  eval_time\n","0             microsoft/Phi-3.5-mini-instruct       1   1.702560\n","1             microsoft/Phi-3.5-mini-instruct       2   1.654016\n","2             microsoft/Phi-3.5-mini-instruct       3   1.641659\n","3             microsoft/Phi-3.5-mini-instruct       4   1.696381\n","4             microsoft/Phi-3.5-mini-instruct       5   1.696381\n","5             microsoft/Phi-3.5-mini-instruct       6   1.701677\n","6                internlm/internlm2_5-7b-chat       1   1.536628\n","10               internlm/internlm2_5-7b-chat       2   1.565755\n","11               internlm/internlm2_5-7b-chat       3   1.598411\n","12               internlm/internlm2_5-7b-chat       4   1.556929\n","13               internlm/internlm2_5-7b-chat       5   1.578111\n","14               internlm/internlm2_5-7b-chat       6   1.556046\n","15                     Qwen/Qwen2-7B-Instruct       1   1.173875\n","16                     Qwen/Qwen2-7B-Instruct       2   1.263019\n","17                     Qwen/Qwen2-7B-Instruct       3   1.269197\n","18                     Qwen/Qwen2-7B-Instruct       4   1.234775\n","19                     Qwen/Qwen2-7B-Instruct       5   1.262136\n","20                     Qwen/Qwen2-7B-Instruct       6   1.238305\n","21  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat       1   1.324801\n","22  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat       2   1.376876\n","23  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat       3   1.372462\n","24  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat       4   1.421006\n","25  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat       5   1.456311\n","26  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat       6   1.497793\n","27      shenzhi-wang/Llama3.1-8B-Chinese-Chat       1   1.225949\n","28      shenzhi-wang/Llama3.1-8B-Chinese-Chat       2   1.198588\n","29      shenzhi-wang/Llama3.1-8B-Chinese-Chat       3   1.234775\n","30      shenzhi-wang/Llama3.1-8B-Chinese-Chat       4   1.218888\n","31      shenzhi-wang/Llama3.1-8B-Chinese-Chat       5   1.235658\n","32      shenzhi-wang/Llama3.1-8B-Chinese-Chat       6   1.230362\n","33     shenzhi-wang/Llama3.1-70B-Chinese-Chat       1  15.308914\n","34     shenzhi-wang/Llama3.1-70B-Chinese-Chat       2  15.309797\n","35     shenzhi-wang/Llama3.1-70B-Chinese-Chat       3  16.096205\n","36     shenzhi-wang/Llama3.1-70B-Chinese-Chat       4  16.263019\n","37     shenzhi-wang/Llama3.1-70B-Chinese-Chat       5  16.224184\n","38     shenzhi-wang/Llama3.1-70B-Chinese-Chat       6  16.559576\n","39                    Qwen/Qwen2-72B-Instruct       1  15.127979\n","40                    Qwen/Qwen2-72B-Instruct       2  15.532215\n","41                    Qwen/Qwen2-72B-Instruct       3  15.616064\n","42                    Qwen/Qwen2-72B-Instruct       4  16.109444\n","43                    Qwen/Qwen2-72B-Instruct       5  16.624007\n","44                    Qwen/Qwen2-72B-Instruct       6  16.712268\n","45                                gpt-4o-mini       1   0.889673\n","46                                gpt-4o-mini       2   0.949691\n","47                                gpt-4o-mini       3   0.902030\n","48                                gpt-4o-mini       4   0.984113\n","49                                gpt-4o-mini       5   0.835834\n","50                                gpt-4o-mini       6   0.832304"]},"execution_count":12,"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":13,"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>epochs</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/Qwen2-72B-Instruct</td>\n","      <td>1</td>\n","      <td>0.468989</td>\n","      <td>18.065844</td>\n","      <td>0.180658</td>\n","      <td>0.447596</td>\n","      <td>0.0</td>\n","      <td>0.040600</td>\n","      <td>0.040600</td>\n","      <td>0.468166</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>15.127979</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>Qwen/Qwen2-72B-Instruct</td>\n","      <td>2</td>\n","      <td>0.477542</td>\n","      <td>18.979032</td>\n","      <td>0.189790</td>\n","      <td>0.451435</td>\n","      <td>0.0</td>\n","      <td>0.081200</td>\n","      <td>0.081200</td>\n","      <td>0.475871</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>15.532215</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>Qwen/Qwen2-72B-Instruct</td>\n","      <td>3</td>\n","      <td>0.463054</td>\n","      <td>18.066219</td>\n","      <td>0.180662</td>\n","      <td>0.436618</td>\n","      <td>0.0</td>\n","      <td>0.094440</td>\n","      <td>0.094440</td>\n","      <td>0.461171</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>15.616064</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>Qwen/Qwen2-72B-Instruct</td>\n","      <td>4</td>\n","      <td>0.454036</td>\n","      <td>16.975593</td>\n","      <td>0.169756</td>\n","      <td>0.423267</td>\n","      <td>0.0</td>\n","      <td>0.120035</td>\n","      <td>0.120035</td>\n","      <td>0.451695</td>\n","      <td>11</td>\n","      <td>0</td>\n","      <td>16.109444</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>Qwen/Qwen2-72B-Instruct</td>\n","      <td>5</td>\n","      <td>0.441333</td>\n","      <td>16.090609</td>\n","      <td>0.160906</td>\n","      <td>0.409046</td>\n","      <td>0.0</td>\n","      <td>1.176523</td>\n","      <td>1.176523</td>\n","      <td>0.420996</td>\n","      <td>24</td>\n","      <td>0</td>\n","      <td>16.624007</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>Qwen/Qwen2-72B-Instruct</td>\n","      <td>6</td>\n","      <td>0.439274</td>\n","      <td>15.615748</td>\n","      <td>0.156157</td>\n","      <td>0.407679</td>\n","      <td>0.0</td>\n","      <td>0.424537</td>\n","      <td>0.424537</td>\n","      <td>0.431482</td>\n","      <td>32</td>\n","      <td>0</td>\n","      <td>16.712268</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>1</td>\n","      <td>0.406770</td>\n","      <td>13.127239</td>\n","      <td>0.131272</td>\n","      <td>0.392371</td>\n","      <td>0.0</td>\n","      <td>0.073257</td>\n","      <td>0.073257</td>\n","      <td>0.405485</td>\n","      <td>7</td>\n","      <td>0</td>\n","      <td>1.173875</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>2</td>\n","      <td>0.427677</td>\n","      <td>14.782460</td>\n","      <td>0.147825</td>\n","      <td>0.408637</td>\n","      <td>0.0</td>\n","      <td>2.097087</td>\n","      <td>2.097087</td>\n","      <td>0.395017</td>\n","      <td>3</td>\n","      <td>0</td>\n","      <td>1.263019</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>3</td>\n","      <td>0.444096</td>\n","      <td>15.514758</td>\n","      <td>0.155148</td>\n","      <td>0.418747</td>\n","      <td>0.0</td>\n","      <td>1.640777</td>\n","      <td>1.640777</td>\n","      <td>0.416608</td>\n","      <td>6</td>\n","      <td>0</td>\n","      <td>1.269197</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>4</td>\n","      <td>0.440138</td>\n","      <td>15.217827</td>\n","      <td>0.152178</td>\n","      <td>0.415962</td>\n","      <td>0.0</td>\n","      <td>0.714034</td>\n","      <td>0.714034</td>\n","      <td>0.427338</td>\n","      <td>11</td>\n","      <td>0</td>\n","      <td>1.234775</td>\n","    </tr>\n","    <tr>\n","      <th>10</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>5</td>\n","      <td>0.435675</td>\n","      <td>14.823013</td>\n","      <td>0.148230</td>\n","      <td>0.406247</td>\n","      <td>0.0</td>\n","      <td>0.913504</td>\n","      <td>0.913504</td>\n","      <td>0.419740</td>\n","      <td>12</td>\n","      <td>0</td>\n","      <td>1.262136</td>\n","    </tr>\n","    <tr>\n","      <th>11</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>6</td>\n","      <td>0.436153</td>\n","      <td>14.965352</td>\n","      <td>0.149654</td>\n","      <td>0.408016</td>\n","      <td>0.0</td>\n","      <td>0.167696</td>\n","      <td>0.167696</td>\n","      <td>0.433025</td>\n","      <td>13</td>\n","      <td>0</td>\n","      <td>1.238305</td>\n","    </tr>\n","    <tr>\n","      <th>12</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>1</td>\n","      <td>0.381014</td>\n","      <td>11.999934</td>\n","      <td>0.119999</td>\n","      <td>0.372987</td>\n","      <td>0.0</td>\n","      <td>2.573698</td>\n","      <td>2.573698</td>\n","      <td>0.346545</td>\n","      <td>3</td>\n","      <td>0</td>\n","      <td>1.536628</td>\n","    </tr>\n","    <tr>\n","      <th>13</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>2</td>\n","      <td>0.405713</td>\n","      <td>13.753748</td>\n","      <td>0.137537</td>\n","      <td>0.393768</td>\n","      <td>0.0</td>\n","      <td>1.302736</td>\n","      <td>1.302736</td>\n","      <td>0.385226</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>1.565755</td>\n","    </tr>\n","    <tr>\n","      <th>14</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>3</td>\n","      <td>0.420791</td>\n","      <td>14.373117</td>\n","      <td>0.143731</td>\n","      <td>0.404704</td>\n","      <td>0.0</td>\n","      <td>2.699029</td>\n","      <td>2.699029</td>\n","      <td>0.381230</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.598411</td>\n","    </tr>\n","    <tr>\n","      <th>15</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>4</td>\n","      <td>0.431093</td>\n","      <td>15.104731</td>\n","      <td>0.151047</td>\n","      <td>0.411498</td>\n","      <td>0.0</td>\n","      <td>1.598411</td>\n","      <td>1.598411</td>\n","      <td>0.405011</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.556929</td>\n","    </tr>\n","    <tr>\n","      <th>16</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>5</td>\n","      <td>0.425150</td>\n","      <td>14.854584</td>\n","      <td>0.148546</td>\n","      <td>0.405565</td>\n","      <td>0.0</td>\n","      <td>0.703442</td>\n","      <td>0.703442</td>\n","      <td>0.412958</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.578111</td>\n","    </tr>\n","    <tr>\n","      <th>17</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>6</td>\n","      <td>0.425637</td>\n","      <td>14.867310</td>\n","      <td>0.148673</td>\n","      <td>0.406607</td>\n","      <td>0.0</td>\n","      <td>0.689320</td>\n","      <td>0.689320</td>\n","      <td>0.413661</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.556046</td>\n","    </tr>\n","    <tr>\n","      <th>18</th>\n","      <td>microsoft/Phi-3.5-mini-instruct</td>\n","      <td>1</td>\n","      <td>0.346101</td>\n","      <td>9.405371</td>\n","      <td>0.094054</td>\n","      <td>0.322777</td>\n","      <td>0.0</td>\n","      <td>3.694616</td>\n","      <td>3.694616</td>\n","      <td>0.304519</td>\n","      <td>3</td>\n","      <td>0</td>\n","      <td>1.702560</td>\n","    </tr>\n","    <tr>\n","      <th>19</th>\n","      <td>microsoft/Phi-3.5-mini-instruct</td>\n","      <td>2</td>\n","      <td>0.356541</td>\n","      <td>10.050233</td>\n","      <td>0.100502</td>\n","      <td>0.339722</td>\n","      <td>0.0</td>\n","      <td>2.666372</td>\n","      <td>2.666372</td>\n","      <td>0.323349</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.654016</td>\n","    </tr>\n","    <tr>\n","      <th>20</th>\n","      <td>microsoft/Phi-3.5-mini-instruct</td>\n","      <td>3</td>\n","      <td>0.367523</td>\n","      <td>10.688776</td>\n","      <td>0.106888</td>\n","      <td>0.346121</td>\n","      <td>0.0</td>\n","      <td>2.456311</td>\n","      <td>2.456311</td>\n","      <td>0.335518</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.641659</td>\n","    </tr>\n","    <tr>\n","      <th>21</th>\n","      <td>microsoft/Phi-3.5-mini-instruct</td>\n","      <td>4</td>\n","      <td>0.378257</td>\n","      <td>11.274744</td>\n","      <td>0.112747</td>\n","      <td>0.358863</td>\n","      <td>0.0</td>\n","      <td>5.050309</td>\n","      <td>5.050309</td>\n","      <td>0.321225</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.696381</td>\n","    </tr>\n","    <tr>\n","      <th>22</th>\n","      <td>microsoft/Phi-3.5-mini-instruct</td>\n","      <td>5</td>\n","      <td>0.380318</td>\n","      <td>11.472004</td>\n","      <td>0.114720</td>\n","      <td>0.361402</td>\n","      <td>0.0</td>\n","      <td>3.442189</td>\n","      <td>3.442189</td>\n","      <td>0.337021</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>1.696381</td>\n","    </tr>\n","    <tr>\n","      <th>23</th>\n","      <td>microsoft/Phi-3.5-mini-instruct</td>\n","      <td>6</td>\n","      <td>0.381069</td>\n","      <td>11.286091</td>\n","      <td>0.112861</td>\n","      <td>0.359407</td>\n","      <td>0.0</td>\n","      <td>4.394528</td>\n","      <td>4.394528</td>\n","      <td>0.329019</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.701677</td>\n","    </tr>\n","    <tr>\n","      <th>24</th>\n","      <td>shenzhi-wang/Llama3.1-70B-Chinese-Chat</td>\n","      <td>1</td>\n","      <td>0.429608</td>\n","      <td>15.325299</td>\n","      <td>0.153253</td>\n","      <td>0.417687</td>\n","      <td>0.0</td>\n","      <td>0.841130</td>\n","      <td>0.841130</td>\n","      <td>0.415050</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>15.308914</td>\n","    </tr>\n","    <tr>\n","      <th>25</th>\n","      <td>shenzhi-wang/Llama3.1-70B-Chinese-Chat</td>\n","      <td>2</td>\n","      <td>0.455615</td>\n","      <td>17.389741</td>\n","      <td>0.173897</td>\n","      <td>0.437795</td>\n","      <td>0.0</td>\n","      <td>0.130627</td>\n","      <td>0.130627</td>\n","      <td>0.453062</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>15.309797</td>\n","    </tr>\n","    <tr>\n","      <th>26</th>\n","      <td>shenzhi-wang/Llama3.1-70B-Chinese-Chat</td>\n","      <td>3</td>\n","      <td>0.460877</td>\n","      <td>17.719650</td>\n","      <td>0.177196</td>\n","      <td>0.433571</td>\n","      <td>0.0</td>\n","      <td>0.076787</td>\n","      <td>0.076787</td>\n","      <td>0.459351</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>16.096205</td>\n","    </tr>\n","    <tr>\n","      <th>27</th>\n","      <td>shenzhi-wang/Llama3.1-70B-Chinese-Chat</td>\n","      <td>4</td>\n","      <td>0.446636</td>\n","      <td>16.467606</td>\n","      <td>0.164676</td>\n","      <td>0.417982</td>\n","      <td>0.0</td>\n","      <td>0.087379</td>\n","      <td>0.087379</td>\n","      <td>0.444955</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>16.263019</td>\n","    </tr>\n","    <tr>\n","      <th>28</th>\n","      <td>shenzhi-wang/Llama3.1-70B-Chinese-Chat</td>\n","      <td>5</td>\n","      <td>0.437621</td>\n","      <td>15.619591</td>\n","      <td>0.156196</td>\n","      <td>0.410065</td>\n","      <td>0.0</td>\n","      <td>0.083848</td>\n","      <td>0.083848</td>\n","      <td>0.436040</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>16.224184</td>\n","    </tr>\n","    <tr>\n","      <th>29</th>\n","      <td>shenzhi-wang/Llama3.1-70B-Chinese-Chat</td>\n","      <td>6</td>\n","      <td>0.429413</td>\n","      <td>14.903520</td>\n","      <td>0.149035</td>\n","      <td>0.397632</td>\n","      <td>0.0</td>\n","      <td>0.159753</td>\n","      <td>0.159753</td>\n","      <td>0.426477</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>16.559576</td>\n","    </tr>\n","    <tr>\n","      <th>30</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>1</td>\n","      <td>0.392366</td>\n","      <td>12.373115</td>\n","      <td>0.123731</td>\n","      <td>0.371004</td>\n","      <td>0.0</td>\n","      <td>1.023831</td>\n","      <td>1.023831</td>\n","      <td>0.376431</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.225949</td>\n","    </tr>\n","    <tr>\n","      <th>31</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>2</td>\n","      <td>0.417323</td>\n","      <td>14.079363</td>\n","      <td>0.140794</td>\n","      <td>0.397327</td>\n","      <td>0.0</td>\n","      <td>0.211827</td>\n","      <td>0.211827</td>\n","      <td>0.413558</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.198588</td>\n","    </tr>\n","    <tr>\n","      <th>32</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>3</td>\n","      <td>0.433494</td>\n","      <td>15.393154</td>\n","      <td>0.153932</td>\n","      <td>0.409588</td>\n","      <td>0.0</td>\n","      <td>0.765225</td>\n","      <td>0.765225</td>\n","      <td>0.420043</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.234775</td>\n","    </tr>\n","    <tr>\n","      <th>33</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>4</td>\n","      <td>0.432840</td>\n","      <td>15.400852</td>\n","      <td>0.154009</td>\n","      <td>0.408374</td>\n","      <td>0.0</td>\n","      <td>0.141218</td>\n","      <td>0.141218</td>\n","      <td>0.430220</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>1.218888</td>\n","    </tr>\n","    <tr>\n","      <th>34</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>5</td>\n","      <td>0.429451</td>\n","      <td>15.110463</td>\n","      <td>0.151105</td>\n","      <td>0.403315</td>\n","      <td>0.0</td>\n","      <td>0.167696</td>\n","      <td>0.167696</td>\n","      <td>0.426372</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.235658</td>\n","    </tr>\n","    <tr>\n","      <th>35</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>6</td>\n","      <td>0.426532</td>\n","      <td>14.685736</td>\n","      <td>0.146857</td>\n","      <td>0.401154</td>\n","      <td>0.0</td>\n","      <td>0.164166</td>\n","      <td>0.164166</td>\n","      <td>0.423537</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>1.230362</td>\n","    </tr>\n","    <tr>\n","      <th>36</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>1</td>\n","      <td>0.377825</td>\n","      <td>11.352361</td>\n","      <td>0.113524</td>\n","      <td>0.365510</td>\n","      <td>0.0</td>\n","      <td>1.021183</td>\n","      <td>1.021183</td>\n","      <td>0.362517</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.324801</td>\n","    </tr>\n","    <tr>\n","      <th>37</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>2</td>\n","      <td>0.405456</td>\n","      <td>13.468536</td>\n","      <td>0.134685</td>\n","      <td>0.385390</td>\n","      <td>0.0</td>\n","      <td>1.542807</td>\n","      <td>1.542807</td>\n","      <td>0.381674</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.376876</td>\n","    </tr>\n","    <tr>\n","      <th>38</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>3</td>\n","      <td>0.402731</td>\n","      <td>13.298446</td>\n","      <td>0.132984</td>\n","      <td>0.380210</td>\n","      <td>0.0</td>\n","      <td>0.653133</td>\n","      <td>0.653133</td>\n","      <td>0.391961</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.372462</td>\n","    </tr>\n","    <tr>\n","      <th>39</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>4</td>\n","      <td>0.400584</td>\n","      <td>12.830936</td>\n","      <td>0.128309</td>\n","      <td>0.371917</td>\n","      <td>0.0</td>\n","      <td>1.160635</td>\n","      <td>1.160635</td>\n","      <td>0.382351</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.421006</td>\n","    </tr>\n","    <tr>\n","      <th>40</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>5</td>\n","      <td>0.391492</td>\n","      <td>12.389840</td>\n","      <td>0.123898</td>\n","      <td>0.361600</td>\n","      <td>0.0</td>\n","      <td>1.212710</td>\n","      <td>1.212710</td>\n","      <td>0.372953</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.456311</td>\n","    </tr>\n","    <tr>\n","      <th>41</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>6</td>\n","      <td>0.384367</td>\n","      <td>11.760110</td>\n","      <td>0.117601</td>\n","      <td>0.352178</td>\n","      <td>0.0</td>\n","      <td>1.236540</td>\n","      <td>1.236540</td>\n","      <td>0.365844</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.497793</td>\n","    </tr>\n","    <tr>\n","      <th>42</th>\n","      <td>gpt-4o-mini</td>\n","      <td>1</td>\n","      <td>0.378537</td>\n","      <td>12.052844</td>\n","      <td>0.120528</td>\n","      <td>0.369579</td>\n","      <td>0.0</td>\n","      <td>0.095322</td>\n","      <td>0.095322</td>\n","      <td>0.376984</td>\n","      <td>25</td>\n","      <td>0</td>\n","      <td>0.889673</td>\n","    </tr>\n","    <tr>\n","      <th>43</th>\n","      <td>gpt-4o-mini</td>\n","      <td>2</td>\n","      <td>0.378592</td>\n","      <td>12.033707</td>\n","      <td>0.120337</td>\n","      <td>0.369223</td>\n","      <td>0.0</td>\n","      <td>0.095322</td>\n","      <td>0.095322</td>\n","      <td>0.377039</td>\n","      <td>27</td>\n","      <td>0</td>\n","      <td>0.949691</td>\n","    </tr>\n","    <tr>\n","      <th>44</th>\n","      <td>gpt-4o-mini</td>\n","      <td>3</td>\n","      <td>0.377362</td>\n","      <td>11.933111</td>\n","      <td>0.119331</td>\n","      <td>0.368845</td>\n","      <td>0.0</td>\n","      <td>0.095322</td>\n","      <td>0.095322</td>\n","      <td>0.375814</td>\n","      <td>24</td>\n","      <td>0</td>\n","      <td>0.902030</td>\n","    </tr>\n","    <tr>\n","      <th>45</th>\n","      <td>gpt-4o-mini</td>\n","      <td>4</td>\n","      <td>0.378185</td>\n","      <td>11.933286</td>\n","      <td>0.119333</td>\n","      <td>0.369313</td>\n","      <td>0.0</td>\n","      <td>0.095322</td>\n","      <td>0.095322</td>\n","      <td>0.376634</td>\n","      <td>24</td>\n","      <td>0</td>\n","      <td>0.984113</td>\n","    </tr>\n","    <tr>\n","      <th>46</th>\n","      <td>gpt-4o-mini</td>\n","      <td>5</td>\n","      <td>0.379067</td>\n","      <td>11.955698</td>\n","      <td>0.119557</td>\n","      <td>0.370052</td>\n","      <td>0.0</td>\n","      <td>0.095322</td>\n","      <td>0.095322</td>\n","      <td>0.377512</td>\n","      <td>23</td>\n","      <td>0</td>\n","      <td>0.835834</td>\n","    </tr>\n","    <tr>\n","      <th>47</th>\n","      <td>gpt-4o-mini</td>\n","      <td>6</td>\n","      <td>0.379223</td>\n","      <td>11.982812</td>\n","      <td>0.119828</td>\n","      <td>0.370201</td>\n","      <td>0.0</td>\n","      <td>0.095322</td>\n","      <td>0.095322</td>\n","      <td>0.377667</td>\n","      <td>25</td>\n","      <td>0</td>\n","      <td>0.832304</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                                        model  epochs    meteor     spbleu  \\\n","0                     Qwen/Qwen2-72B-Instruct       1  0.468989  18.065844   \n","1                     Qwen/Qwen2-72B-Instruct       2  0.477542  18.979032   \n","2                     Qwen/Qwen2-72B-Instruct       3  0.463054  18.066219   \n","3                     Qwen/Qwen2-72B-Instruct       4  0.454036  16.975593   \n","4                     Qwen/Qwen2-72B-Instruct       5  0.441333  16.090609   \n","5                     Qwen/Qwen2-72B-Instruct       6  0.439274  15.615748   \n","6                      Qwen/Qwen2-7B-Instruct       1  0.406770  13.127239   \n","7                      Qwen/Qwen2-7B-Instruct       2  0.427677  14.782460   \n","8                      Qwen/Qwen2-7B-Instruct       3  0.444096  15.514758   \n","9                      Qwen/Qwen2-7B-Instruct       4  0.440138  15.217827   \n","10                     Qwen/Qwen2-7B-Instruct       5  0.435675  14.823013   \n","11                     Qwen/Qwen2-7B-Instruct       6  0.436153  14.965352   \n","12               internlm/internlm2_5-7b-chat       1  0.381014  11.999934   \n","13               internlm/internlm2_5-7b-chat       2  0.405713  13.753748   \n","14               internlm/internlm2_5-7b-chat       3  0.420791  14.373117   \n","15               internlm/internlm2_5-7b-chat       4  0.431093  15.104731   \n","16               internlm/internlm2_5-7b-chat       5  0.425150  14.854584   \n","17               internlm/internlm2_5-7b-chat       6  0.425637  14.867310   \n","18            microsoft/Phi-3.5-mini-instruct       1  0.346101   9.405371   \n","19            microsoft/Phi-3.5-mini-instruct       2  0.356541  10.050233   \n","20            microsoft/Phi-3.5-mini-instruct       3  0.367523  10.688776   \n","21            microsoft/Phi-3.5-mini-instruct       4  0.378257  11.274744   \n","22            microsoft/Phi-3.5-mini-instruct       5  0.380318  11.472004   \n","23            microsoft/Phi-3.5-mini-instruct       6  0.381069  11.286091   \n","24     shenzhi-wang/Llama3.1-70B-Chinese-Chat       1  0.429608  15.325299   \n","25     shenzhi-wang/Llama3.1-70B-Chinese-Chat       2  0.455615  17.389741   \n","26     shenzhi-wang/Llama3.1-70B-Chinese-Chat       3  0.460877  17.719650   \n","27     shenzhi-wang/Llama3.1-70B-Chinese-Chat       4  0.446636  16.467606   \n","28     shenzhi-wang/Llama3.1-70B-Chinese-Chat       5  0.437621  15.619591   \n","29     shenzhi-wang/Llama3.1-70B-Chinese-Chat       6  0.429413  14.903520   \n","30      shenzhi-wang/Llama3.1-8B-Chinese-Chat       1  0.392366  12.373115   \n","31      shenzhi-wang/Llama3.1-8B-Chinese-Chat       2  0.417323  14.079363   \n","32      shenzhi-wang/Llama3.1-8B-Chinese-Chat       3  0.433494  15.393154   \n","33      shenzhi-wang/Llama3.1-8B-Chinese-Chat       4  0.432840  15.400852   \n","34      shenzhi-wang/Llama3.1-8B-Chinese-Chat       5  0.429451  15.110463   \n","35      shenzhi-wang/Llama3.1-8B-Chinese-Chat       6  0.426532  14.685736   \n","36  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat       1  0.377825  11.352361   \n","37  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat       2  0.405456  13.468536   \n","38  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat       3  0.402731  13.298446   \n","39  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat       4  0.400584  12.830936   \n","40  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat       5  0.391492  12.389840   \n","41  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat       6  0.384367  11.760110   \n","42                                gpt-4o-mini       1  0.378537  12.052844   \n","43                                gpt-4o-mini       2  0.378592  12.033707   \n","44                                gpt-4o-mini       3  0.377362  11.933111   \n","45                                gpt-4o-mini       4  0.378185  11.933286   \n","46                                gpt-4o-mini       5  0.379067  11.955698   \n","47                                gpt-4o-mini       6  0.379223  11.982812   \n","\n","      bleu_1   rouge_l  ews_score  repetition_score  total_repetitions  \\\n","0   0.180658  0.447596        0.0          0.040600           0.040600   \n","1   0.189790  0.451435        0.0          0.081200           0.081200   \n","2   0.180662  0.436618        0.0          0.094440           0.094440   \n","3   0.169756  0.423267        0.0          0.120035           0.120035   \n","4   0.160906  0.409046        0.0          1.176523           1.176523   \n","5   0.156157  0.407679        0.0          0.424537           0.424537   \n","6   0.131272  0.392371        0.0          0.073257           0.073257   \n","7   0.147825  0.408637        0.0          2.097087           2.097087   \n","8   0.155148  0.418747        0.0          1.640777           1.640777   \n","9   0.152178  0.415962        0.0          0.714034           0.714034   \n","10  0.148230  0.406247        0.0          0.913504           0.913504   \n","11  0.149654  0.408016        0.0          0.167696           0.167696   \n","12  0.119999  0.372987        0.0          2.573698           2.573698   \n","13  0.137537  0.393768        0.0          1.302736           1.302736   \n","14  0.143731  0.404704        0.0          2.699029           2.699029   \n","15  0.151047  0.411498        0.0          1.598411           1.598411   \n","16  0.148546  0.405565        0.0          0.703442           0.703442   \n","17  0.148673  0.406607        0.0          0.689320           0.689320   \n","18  0.094054  0.322777        0.0          3.694616           3.694616   \n","19  0.100502  0.339722        0.0          2.666372           2.666372   \n","20  0.106888  0.346121        0.0          2.456311           2.456311   \n","21  0.112747  0.358863        0.0          5.050309           5.050309   \n","22  0.114720  0.361402        0.0          3.442189           3.442189   \n","23  0.112861  0.359407        0.0          4.394528           4.394528   \n","24  0.153253  0.417687        0.0          0.841130           0.841130   \n","25  0.173897  0.437795        0.0          0.130627           0.130627   \n","26  0.177196  0.433571        0.0          0.076787           0.076787   \n","27  0.164676  0.417982        0.0          0.087379           0.087379   \n","28  0.156196  0.410065        0.0          0.083848           0.083848   \n","29  0.149035  0.397632        0.0          0.159753           0.159753   \n","30  0.123731  0.371004        0.0          1.023831           1.023831   \n","31  0.140794  0.397327        0.0          0.211827           0.211827   \n","32  0.153932  0.409588        0.0          0.765225           0.765225   \n","33  0.154009  0.408374        0.0          0.141218           0.141218   \n","34  0.151105  0.403315        0.0          0.167696           0.167696   \n","35  0.146857  0.401154        0.0          0.164166           0.164166   \n","36  0.113524  0.365510        0.0          1.021183           1.021183   \n","37  0.134685  0.385390        0.0          1.542807           1.542807   \n","38  0.132984  0.380210        0.0          0.653133           0.653133   \n","39  0.128309  0.371917        0.0          1.160635           1.160635   \n","40  0.123898  0.361600        0.0          1.212710           1.212710   \n","41  0.117601  0.352178        0.0          1.236540           1.236540   \n","42  0.120528  0.369579        0.0          0.095322           0.095322   \n","43  0.120337  0.369223        0.0          0.095322           0.095322   \n","44  0.119331  0.368845        0.0          0.095322           0.095322   \n","45  0.119333  0.369313        0.0          0.095322           0.095322   \n","46  0.119557  0.370052        0.0          0.095322           0.095322   \n","47  0.119828  0.370201        0.0          0.095322           0.095322   \n","\n","         rap  num_incomplete_translations  num_max_output_tokens  eval_time  \n","0   0.468166                            1                      0  15.127979  \n","1   0.475871                            0                      0  15.532215  \n","2   0.461171                            2                      0  15.616064  \n","3   0.451695                           11                      0  16.109444  \n","4   0.420996                           24                      0  16.624007  \n","5   0.431482                           32                      0  16.712268  \n","6   0.405485                            7                      0   1.173875  \n","7   0.395017                            3                      0   1.263019  \n","8   0.416608                            6                      0   1.269197  \n","9   0.427338                           11                      0   1.234775  \n","10  0.419740                           12                      0   1.262136  \n","11  0.433025                           13                      0   1.238305  \n","12  0.346545                            3                      0   1.536628  \n","13  0.385226                            1                      0   1.565755  \n","14  0.381230                            0                      0   1.598411  \n","15  0.405011                            0                      0   1.556929  \n","16  0.412958                            0                      0   1.578111  \n","17  0.413661                            0                      0   1.556046  \n","18  0.304519                            3                      0   1.702560  \n","19  0.323349                            0                      0   1.654016  \n","20  0.335518                            0                      0   1.641659  \n","21  0.321225                            0                      0   1.696381  \n","22  0.337021                            1                      0   1.696381  \n","23  0.329019                            0                      0   1.701677  \n","24  0.415050                            0                      0  15.308914  \n","25  0.453062                            0                      0  15.309797  \n","26  0.459351                            0                      0  16.096205  \n","27  0.444955                            0                      0  16.263019  \n","28  0.436040                            0                      0  16.224184  \n","29  0.426477                            0                      0  16.559576  \n","30  0.376431                            0                      0   1.225949  \n","31  0.413558                            0                      0   1.198588  \n","32  0.420043                            0                      0   1.234775  \n","33  0.430220                            1                      0   1.218888  \n","34  0.426372                            0                      0   1.235658  \n","35  0.423537                            1                      0   1.230362  \n","36  0.362517                            0                      0   1.324801  \n","37  0.381674                            0                      0   1.376876  \n","38  0.391961                            0                      0   1.372462  \n","39  0.382351                            0                      0   1.421006  \n","40  0.372953                            0                      0   1.456311  \n","41  0.365844                            0                      0   1.497793  \n","42  0.376984                           25                      0   0.889673  \n","43  0.377039                           27                      0   0.949691  \n","44  0.375814                           24                      0   0.902030  \n","45  0.376634                           24                      0   0.984113  \n","46  0.377512                           23                      0   0.835834  \n","47  0.377667                           25                      0   0.832304  "]},"execution_count":13,"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":14,"metadata":{},"outputs":[{"data":{"text/plain":["array(['Qwen/Qwen2-72B-Instruct', 'Qwen/Qwen2-7B-Instruct',\n","       'internlm/internlm2_5-7b-chat', 'microsoft/Phi-3.5-mini-instruct',\n","       'shenzhi-wang/Llama3.1-70B-Chinese-Chat',\n","       'shenzhi-wang/Llama3.1-8B-Chinese-Chat',\n","       'shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat', 'gpt-4o-mini'],\n","      dtype=object)"]},"execution_count":14,"metadata":{},"output_type":"execute_result"}],"source":["models = metrics_df[\"model\"].unique()\n","models"]},{"cell_type":"code","execution_count":15,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 53 entries, 0 to 52\n","Data columns (total 13 columns):\n"," #   Column                       Non-Null Count  Dtype  \n","---  ------                       --------------  -----  \n"," 0   model                        53 non-null     object \n"," 1   shots                        53 non-null     int64  \n"," 2   meteor                       53 non-null     float64\n"," 3   spbleu                       53 non-null     float64\n"," 4   bleu_1                       53 non-null     float64\n"," 5   rouge_l                      53 non-null     float64\n"," 6   ews_score                    53 non-null     float64\n"," 7   repetition_score             53 non-null     float64\n"," 8   total_repetitions            53 non-null     float64\n"," 9   rap                          53 non-null     float64\n"," 10  num_incomplete_translations  53 non-null     int64  \n"," 11  num_max_output_tokens        53 non-null     int64  \n"," 12  eval_time                    51 non-null     float64\n","dtypes: float64(9), int64(3), object(1)\n","memory usage: 5.5+ KB\n"]}],"source":["df_few_shots = pd.read_csv(\"results/mac-results_few_shots_metrics.csv\")\n","df_few_shots.info()"]},{"cell_type":"code","execution_count":16,"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>epochs</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/Qwen2-72B-Instruct</td>\n","      <td>0</td>\n","      <td>0.400364</td>\n","      <td>12.223833</td>\n","      <td>0.122238</td>\n","      <td>0.384692</td>\n","      <td>0.0</td>\n","      <td>0.195940</td>\n","      <td>0.195940</td>\n","      <td>0.397018</td>\n","      <td>37</td>\n","      <td>0</td>\n","      <td>8.894969</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>0</td>\n","      <td>0.377477</td>\n","      <td>11.783493</td>\n","      <td>0.117835</td>\n","      <td>0.367905</td>\n","      <td>0.0</td>\n","      <td>0.071492</td>\n","      <td>0.071492</td>\n","      <td>0.376313</td>\n","      <td>89</td>\n","      <td>0</td>\n","      <td>0.980583</td>\n","    </tr>\n","    <tr>\n","      <th>12</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>0</td>\n","      <td>0.368168</td>\n","      <td>11.360521</td>\n","      <td>0.113605</td>\n","      <td>0.360267</td>\n","      <td>0.0</td>\n","      <td>0.214475</td>\n","      <td>0.214475</td>\n","      <td>0.364806</td>\n","      <td>10</td>\n","      <td>0</td>\n","      <td>1.224184</td>\n","    </tr>\n","    <tr>\n","      <th>18</th>\n","      <td>shenzhi-wang/Llama3.1-70B-Chinese-Chat</td>\n","      <td>0</td>\n","      <td>0.363870</td>\n","      <td>10.874678</td>\n","      <td>0.108747</td>\n","      <td>0.353357</td>\n","      <td>0.0</td>\n","      <td>0.154457</td>\n","      <td>0.154457</td>\n","      <td>0.361464</td>\n","      <td>55</td>\n","      <td>0</td>\n","      <td>7.833186</td>\n","    </tr>\n","    <tr>\n","      <th>24</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>0</td>\n","      <td>0.347622</td>\n","      <td>9.799439</td>\n","      <td>0.097994</td>\n","      <td>0.335269</td>\n","      <td>0.0</td>\n","      <td>2.216240</td>\n","      <td>2.216240</td>\n","      <td>0.319818</td>\n","      <td>16</td>\n","      <td>0</td>\n","      <td>1.075022</td>\n","    </tr>\n","    <tr>\n","      <th>30</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>0</td>\n","      <td>0.328500</td>\n","      <td>8.313795</td>\n","      <td>0.083138</td>\n","      <td>0.317988</td>\n","      <td>0.0</td>\n","      <td>0.127979</td>\n","      <td>0.127979</td>\n","      <td>0.326695</td>\n","      <td>18</td>\n","      <td>0</td>\n","      <td>1.204766</td>\n","    </tr>\n","    <tr>\n","      <th>36</th>\n","      <td>microsoft/Phi-3.5-mini-instruct</td>\n","      <td>0</td>\n","      <td>0.288749</td>\n","      <td>6.616686</td>\n","      <td>0.066167</td>\n","      <td>0.292031</td>\n","      <td>0.0</td>\n","      <td>0.135922</td>\n","      <td>0.135922</td>\n","      <td>0.287066</td>\n","      <td>17</td>\n","      <td>0</td>\n","      <td>0.983230</td>\n","    </tr>\n","    <tr>\n","      <th>41</th>\n","      <td>gpt-4o-mini</td>\n","      <td>0</td>\n","      <td>0.379770</td>\n","      <td>12.082384</td>\n","      <td>0.120824</td>\n","      <td>0.370822</td>\n","      <td>0.0</td>\n","      <td>0.095322</td>\n","      <td>0.095322</td>\n","      <td>0.378211</td>\n","      <td>22</td>\n","      <td>0</td>\n","      <td>1.593998</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                                        model  epochs    meteor     spbleu  \\\n","0                     Qwen/Qwen2-72B-Instruct       0  0.400364  12.223833   \n","6                      Qwen/Qwen2-7B-Instruct       0  0.377477  11.783493   \n","12               internlm/internlm2_5-7b-chat       0  0.368168  11.360521   \n","18     shenzhi-wang/Llama3.1-70B-Chinese-Chat       0  0.363870  10.874678   \n","24      shenzhi-wang/Llama3.1-8B-Chinese-Chat       0  0.347622   9.799439   \n","30  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat       0  0.328500   8.313795   \n","36            microsoft/Phi-3.5-mini-instruct       0  0.288749   6.616686   \n","41                                gpt-4o-mini       0  0.379770  12.082384   \n","\n","      bleu_1   rouge_l  ews_score  repetition_score  total_repetitions  \\\n","0   0.122238  0.384692        0.0          0.195940           0.195940   \n","6   0.117835  0.367905        0.0          0.071492           0.071492   \n","12  0.113605  0.360267        0.0          0.214475           0.214475   \n","18  0.108747  0.353357        0.0          0.154457           0.154457   \n","24  0.097994  0.335269        0.0          2.216240           2.216240   \n","30  0.083138  0.317988        0.0          0.127979           0.127979   \n","36  0.066167  0.292031        0.0          0.135922           0.135922   \n","41  0.120824  0.370822        0.0          0.095322           0.095322   \n","\n","         rap  num_incomplete_translations  num_max_output_tokens  eval_time  \n","0   0.397018                           37                      0   8.894969  \n","6   0.376313                           89                      0   0.980583  \n","12  0.364806                           10                      0   1.224184  \n","18  0.361464                           55                      0   7.833186  \n","24  0.319818                           16                      0   1.075022  \n","30  0.326695                           18                      0   1.204766  \n","36  0.287066                           17                      0   0.983230  \n","41  0.378211                           22                      0   1.593998  "]},"execution_count":16,"metadata":{},"output_type":"execute_result"}],"source":["temp = df_few_shots[df_few_shots[\"model\"].isin(models)]\n","df_base = temp[temp[\"shots\"] == 0].rename(columns={\"shots\": variant})\n","df_base"]},{"cell_type":"code","execution_count":17,"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>epochs</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/Qwen2-72B-Instruct</td>\n","      <td>0</td>\n","      <td>0.400364</td>\n","      <td>12.223833</td>\n","      <td>0.122238</td>\n","      <td>0.384692</td>\n","      <td>0.0</td>\n","      <td>0.195940</td>\n","      <td>0.195940</td>\n","      <td>0.397018</td>\n","      <td>37</td>\n","      <td>0</td>\n","      <td>8.894969</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>0</td>\n","      <td>0.377477</td>\n","      <td>11.783493</td>\n","      <td>0.117835</td>\n","      <td>0.367905</td>\n","      <td>0.0</td>\n","      <td>0.071492</td>\n","      <td>0.071492</td>\n","      <td>0.376313</td>\n","      <td>89</td>\n","      <td>0</td>\n","      <td>0.980583</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>0</td>\n","      <td>0.368168</td>\n","      <td>11.360521</td>\n","      <td>0.113605</td>\n","      <td>0.360267</td>\n","      <td>0.0</td>\n","      <td>0.214475</td>\n","      <td>0.214475</td>\n","      <td>0.364806</td>\n","      <td>10</td>\n","      <td>0</td>\n","      <td>1.224184</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>shenzhi-wang/Llama3.1-70B-Chinese-Chat</td>\n","      <td>0</td>\n","      <td>0.363870</td>\n","      <td>10.874678</td>\n","      <td>0.108747</td>\n","      <td>0.353357</td>\n","      <td>0.0</td>\n","      <td>0.154457</td>\n","      <td>0.154457</td>\n","      <td>0.361464</td>\n","      <td>55</td>\n","      <td>0</td>\n","      <td>7.833186</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>0</td>\n","      <td>0.347622</td>\n","      <td>9.799439</td>\n","      <td>0.097994</td>\n","      <td>0.335269</td>\n","      <td>0.0</td>\n","      <td>2.216240</td>\n","      <td>2.216240</td>\n","      <td>0.319818</td>\n","      <td>16</td>\n","      <td>0</td>\n","      <td>1.075022</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>0</td>\n","      <td>0.328500</td>\n","      <td>8.313795</td>\n","      <td>0.083138</td>\n","      <td>0.317988</td>\n","      <td>0.0</td>\n","      <td>0.127979</td>\n","      <td>0.127979</td>\n","      <td>0.326695</td>\n","      <td>18</td>\n","      <td>0</td>\n","      <td>1.204766</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>microsoft/Phi-3.5-mini-instruct</td>\n","      <td>0</td>\n","      <td>0.288749</td>\n","      <td>6.616686</td>\n","      <td>0.066167</td>\n","      <td>0.292031</td>\n","      <td>0.0</td>\n","      <td>0.135922</td>\n","      <td>0.135922</td>\n","      <td>0.287066</td>\n","      <td>17</td>\n","      <td>0</td>\n","      <td>0.983230</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>gpt-4o-mini</td>\n","      <td>0</td>\n","      <td>0.379770</td>\n","      <td>12.082384</td>\n","      <td>0.120824</td>\n","      <td>0.370822</td>\n","      <td>0.0</td>\n","      <td>0.095322</td>\n","      <td>0.095322</td>\n","      <td>0.378211</td>\n","      <td>22</td>\n","      <td>0</td>\n","      <td>1.593998</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>Qwen/Qwen2-72B-Instruct</td>\n","      <td>1</td>\n","      <td>0.468989</td>\n","      <td>18.065844</td>\n","      <td>0.180658</td>\n","      <td>0.447596</td>\n","      <td>0.0</td>\n","      <td>0.040600</td>\n","      <td>0.040600</td>\n","      <td>0.468166</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>15.127979</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>Qwen/Qwen2-72B-Instruct</td>\n","      <td>2</td>\n","      <td>0.477542</td>\n","      <td>18.979032</td>\n","      <td>0.189790</td>\n","      <td>0.451435</td>\n","      <td>0.0</td>\n","      <td>0.081200</td>\n","      <td>0.081200</td>\n","      <td>0.475871</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>15.532215</td>\n","    </tr>\n","    <tr>\n","      <th>10</th>\n","      <td>Qwen/Qwen2-72B-Instruct</td>\n","      <td>3</td>\n","      <td>0.463054</td>\n","      <td>18.066219</td>\n","      <td>0.180662</td>\n","      <td>0.436618</td>\n","      <td>0.0</td>\n","      <td>0.094440</td>\n","      <td>0.094440</td>\n","      <td>0.461171</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>15.616064</td>\n","    </tr>\n","    <tr>\n","      <th>11</th>\n","      <td>Qwen/Qwen2-72B-Instruct</td>\n","      <td>4</td>\n","      <td>0.454036</td>\n","      <td>16.975593</td>\n","      <td>0.169756</td>\n","      <td>0.423267</td>\n","      <td>0.0</td>\n","      <td>0.120035</td>\n","      <td>0.120035</td>\n","      <td>0.451695</td>\n","      <td>11</td>\n","      <td>0</td>\n","      <td>16.109444</td>\n","    </tr>\n","    <tr>\n","      <th>12</th>\n","      <td>Qwen/Qwen2-72B-Instruct</td>\n","      <td>5</td>\n","      <td>0.441333</td>\n","      <td>16.090609</td>\n","      <td>0.160906</td>\n","      <td>0.409046</td>\n","      <td>0.0</td>\n","      <td>1.176523</td>\n","      <td>1.176523</td>\n","      <td>0.420996</td>\n","      <td>24</td>\n","      <td>0</td>\n","      <td>16.624007</td>\n","    </tr>\n","    <tr>\n","      <th>13</th>\n","      <td>Qwen/Qwen2-72B-Instruct</td>\n","      <td>6</td>\n","      <td>0.439274</td>\n","      <td>15.615748</td>\n","      <td>0.156157</td>\n","      <td>0.407679</td>\n","      <td>0.0</td>\n","      <td>0.424537</td>\n","      <td>0.424537</td>\n","      <td>0.431482</td>\n","      <td>32</td>\n","      <td>0</td>\n","      <td>16.712268</td>\n","    </tr>\n","    <tr>\n","      <th>14</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>1</td>\n","      <td>0.406770</td>\n","      <td>13.127239</td>\n","      <td>0.131272</td>\n","      <td>0.392371</td>\n","      <td>0.0</td>\n","      <td>0.073257</td>\n","      <td>0.073257</td>\n","      <td>0.405485</td>\n","      <td>7</td>\n","      <td>0</td>\n","      <td>1.173875</td>\n","    </tr>\n","    <tr>\n","      <th>15</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>2</td>\n","      <td>0.427677</td>\n","      <td>14.782460</td>\n","      <td>0.147825</td>\n","      <td>0.408637</td>\n","      <td>0.0</td>\n","      <td>2.097087</td>\n","      <td>2.097087</td>\n","      <td>0.395017</td>\n","      <td>3</td>\n","      <td>0</td>\n","      <td>1.263019</td>\n","    </tr>\n","    <tr>\n","      <th>16</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>3</td>\n","      <td>0.444096</td>\n","      <td>15.514758</td>\n","      <td>0.155148</td>\n","      <td>0.418747</td>\n","      <td>0.0</td>\n","      <td>1.640777</td>\n","      <td>1.640777</td>\n","      <td>0.416608</td>\n","      <td>6</td>\n","      <td>0</td>\n","      <td>1.269197</td>\n","    </tr>\n","    <tr>\n","      <th>17</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>4</td>\n","      <td>0.440138</td>\n","      <td>15.217827</td>\n","      <td>0.152178</td>\n","      <td>0.415962</td>\n","      <td>0.0</td>\n","      <td>0.714034</td>\n","      <td>0.714034</td>\n","      <td>0.427338</td>\n","      <td>11</td>\n","      <td>0</td>\n","      <td>1.234775</td>\n","    </tr>\n","    <tr>\n","      <th>18</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>5</td>\n","      <td>0.435675</td>\n","      <td>14.823013</td>\n","      <td>0.148230</td>\n","      <td>0.406247</td>\n","      <td>0.0</td>\n","      <td>0.913504</td>\n","      <td>0.913504</td>\n","      <td>0.419740</td>\n","      <td>12</td>\n","      <td>0</td>\n","      <td>1.262136</td>\n","    </tr>\n","    <tr>\n","      <th>19</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>6</td>\n","      <td>0.436153</td>\n","      <td>14.965352</td>\n","      <td>0.149654</td>\n","      <td>0.408016</td>\n","      <td>0.0</td>\n","      <td>0.167696</td>\n","      <td>0.167696</td>\n","      <td>0.433025</td>\n","      <td>13</td>\n","      <td>0</td>\n","      <td>1.238305</td>\n","    </tr>\n","    <tr>\n","      <th>20</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>1</td>\n","      <td>0.381014</td>\n","      <td>11.999934</td>\n","      <td>0.119999</td>\n","      <td>0.372987</td>\n","      <td>0.0</td>\n","      <td>2.573698</td>\n","      <td>2.573698</td>\n","      <td>0.346545</td>\n","      <td>3</td>\n","      <td>0</td>\n","      <td>1.536628</td>\n","    </tr>\n","    <tr>\n","      <th>21</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>2</td>\n","      <td>0.405713</td>\n","      <td>13.753748</td>\n","      <td>0.137537</td>\n","      <td>0.393768</td>\n","      <td>0.0</td>\n","      <td>1.302736</td>\n","      <td>1.302736</td>\n","      <td>0.385226</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>1.565755</td>\n","    </tr>\n","    <tr>\n","      <th>22</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>3</td>\n","      <td>0.420791</td>\n","      <td>14.373117</td>\n","      <td>0.143731</td>\n","      <td>0.404704</td>\n","      <td>0.0</td>\n","      <td>2.699029</td>\n","      <td>2.699029</td>\n","      <td>0.381230</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.598411</td>\n","    </tr>\n","    <tr>\n","      <th>23</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>4</td>\n","      <td>0.431093</td>\n","      <td>15.104731</td>\n","      <td>0.151047</td>\n","      <td>0.411498</td>\n","      <td>0.0</td>\n","      <td>1.598411</td>\n","      <td>1.598411</td>\n","      <td>0.405011</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.556929</td>\n","    </tr>\n","    <tr>\n","      <th>24</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>5</td>\n","      <td>0.425150</td>\n","      <td>14.854584</td>\n","      <td>0.148546</td>\n","      <td>0.405565</td>\n","      <td>0.0</td>\n","      <td>0.703442</td>\n","      <td>0.703442</td>\n","      <td>0.412958</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.578111</td>\n","    </tr>\n","    <tr>\n","      <th>25</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>6</td>\n","      <td>0.425637</td>\n","      <td>14.867310</td>\n","      <td>0.148673</td>\n","      <td>0.406607</td>\n","      <td>0.0</td>\n","      <td>0.689320</td>\n","      <td>0.689320</td>\n","      <td>0.413661</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.556046</td>\n","    </tr>\n","    <tr>\n","      <th>26</th>\n","      <td>microsoft/Phi-3.5-mini-instruct</td>\n","      <td>1</td>\n","      <td>0.346101</td>\n","      <td>9.405371</td>\n","      <td>0.094054</td>\n","      <td>0.322777</td>\n","      <td>0.0</td>\n","      <td>3.694616</td>\n","      <td>3.694616</td>\n","      <td>0.304519</td>\n","      <td>3</td>\n","      <td>0</td>\n","      <td>1.702560</td>\n","    </tr>\n","    <tr>\n","      <th>27</th>\n","      <td>microsoft/Phi-3.5-mini-instruct</td>\n","      <td>2</td>\n","      <td>0.356541</td>\n","      <td>10.050233</td>\n","      <td>0.100502</td>\n","      <td>0.339722</td>\n","      <td>0.0</td>\n","      <td>2.666372</td>\n","      <td>2.666372</td>\n","      <td>0.323349</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.654016</td>\n","    </tr>\n","    <tr>\n","      <th>28</th>\n","      <td>microsoft/Phi-3.5-mini-instruct</td>\n","      <td>3</td>\n","      <td>0.367523</td>\n","      <td>10.688776</td>\n","      <td>0.106888</td>\n","      <td>0.346121</td>\n","      <td>0.0</td>\n","      <td>2.456311</td>\n","      <td>2.456311</td>\n","      <td>0.335518</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.641659</td>\n","    </tr>\n","    <tr>\n","      <th>29</th>\n","      <td>microsoft/Phi-3.5-mini-instruct</td>\n","      <td>4</td>\n","      <td>0.378257</td>\n","      <td>11.274744</td>\n","      <td>0.112747</td>\n","      <td>0.358863</td>\n","      <td>0.0</td>\n","      <td>5.050309</td>\n","      <td>5.050309</td>\n","      <td>0.321225</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.696381</td>\n","    </tr>\n","    <tr>\n","      <th>30</th>\n","      <td>microsoft/Phi-3.5-mini-instruct</td>\n","      <td>5</td>\n","      <td>0.380318</td>\n","      <td>11.472004</td>\n","      <td>0.114720</td>\n","      <td>0.361402</td>\n","      <td>0.0</td>\n","      <td>3.442189</td>\n","      <td>3.442189</td>\n","      <td>0.337021</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>1.696381</td>\n","    </tr>\n","    <tr>\n","      <th>31</th>\n","      <td>microsoft/Phi-3.5-mini-instruct</td>\n","      <td>6</td>\n","      <td>0.381069</td>\n","      <td>11.286091</td>\n","      <td>0.112861</td>\n","      <td>0.359407</td>\n","      <td>0.0</td>\n","      <td>4.394528</td>\n","      <td>4.394528</td>\n","      <td>0.329019</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.701677</td>\n","    </tr>\n","    <tr>\n","      <th>32</th>\n","      <td>shenzhi-wang/Llama3.1-70B-Chinese-Chat</td>\n","      <td>1</td>\n","      <td>0.429608</td>\n","      <td>15.325299</td>\n","      <td>0.153253</td>\n","      <td>0.417687</td>\n","      <td>0.0</td>\n","      <td>0.841130</td>\n","      <td>0.841130</td>\n","      <td>0.415050</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>15.308914</td>\n","    </tr>\n","    <tr>\n","      <th>33</th>\n","      <td>shenzhi-wang/Llama3.1-70B-Chinese-Chat</td>\n","      <td>2</td>\n","      <td>0.455615</td>\n","      <td>17.389741</td>\n","      <td>0.173897</td>\n","      <td>0.437795</td>\n","      <td>0.0</td>\n","      <td>0.130627</td>\n","      <td>0.130627</td>\n","      <td>0.453062</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>15.309797</td>\n","    </tr>\n","    <tr>\n","      <th>34</th>\n","      <td>shenzhi-wang/Llama3.1-70B-Chinese-Chat</td>\n","      <td>3</td>\n","      <td>0.460877</td>\n","      <td>17.719650</td>\n","      <td>0.177196</td>\n","      <td>0.433571</td>\n","      <td>0.0</td>\n","      <td>0.076787</td>\n","      <td>0.076787</td>\n","      <td>0.459351</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>16.096205</td>\n","    </tr>\n","    <tr>\n","      <th>35</th>\n","      <td>shenzhi-wang/Llama3.1-70B-Chinese-Chat</td>\n","      <td>4</td>\n","      <td>0.446636</td>\n","      <td>16.467606</td>\n","      <td>0.164676</td>\n","      <td>0.417982</td>\n","      <td>0.0</td>\n","      <td>0.087379</td>\n","      <td>0.087379</td>\n","      <td>0.444955</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>16.263019</td>\n","    </tr>\n","    <tr>\n","      <th>36</th>\n","      <td>shenzhi-wang/Llama3.1-70B-Chinese-Chat</td>\n","      <td>5</td>\n","      <td>0.437621</td>\n","      <td>15.619591</td>\n","      <td>0.156196</td>\n","      <td>0.410065</td>\n","      <td>0.0</td>\n","      <td>0.083848</td>\n","      <td>0.083848</td>\n","      <td>0.436040</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>16.224184</td>\n","    </tr>\n","    <tr>\n","      <th>37</th>\n","      <td>shenzhi-wang/Llama3.1-70B-Chinese-Chat</td>\n","      <td>6</td>\n","      <td>0.429413</td>\n","      <td>14.903520</td>\n","      <td>0.149035</td>\n","      <td>0.397632</td>\n","      <td>0.0</td>\n","      <td>0.159753</td>\n","      <td>0.159753</td>\n","      <td>0.426477</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>16.559576</td>\n","    </tr>\n","    <tr>\n","      <th>38</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>1</td>\n","      <td>0.392366</td>\n","      <td>12.373115</td>\n","      <td>0.123731</td>\n","      <td>0.371004</td>\n","      <td>0.0</td>\n","      <td>1.023831</td>\n","      <td>1.023831</td>\n","      <td>0.376431</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.225949</td>\n","    </tr>\n","    <tr>\n","      <th>39</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>2</td>\n","      <td>0.417323</td>\n","      <td>14.079363</td>\n","      <td>0.140794</td>\n","      <td>0.397327</td>\n","      <td>0.0</td>\n","      <td>0.211827</td>\n","      <td>0.211827</td>\n","      <td>0.413558</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.198588</td>\n","    </tr>\n","    <tr>\n","      <th>40</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>3</td>\n","      <td>0.433494</td>\n","      <td>15.393154</td>\n","      <td>0.153932</td>\n","      <td>0.409588</td>\n","      <td>0.0</td>\n","      <td>0.765225</td>\n","      <td>0.765225</td>\n","      <td>0.420043</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.234775</td>\n","    </tr>\n","    <tr>\n","      <th>41</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>4</td>\n","      <td>0.432840</td>\n","      <td>15.400852</td>\n","      <td>0.154009</td>\n","      <td>0.408374</td>\n","      <td>0.0</td>\n","      <td>0.141218</td>\n","      <td>0.141218</td>\n","      <td>0.430220</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>1.218888</td>\n","    </tr>\n","    <tr>\n","      <th>42</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>5</td>\n","      <td>0.429451</td>\n","      <td>15.110463</td>\n","      <td>0.151105</td>\n","      <td>0.403315</td>\n","      <td>0.0</td>\n","      <td>0.167696</td>\n","      <td>0.167696</td>\n","      <td>0.426372</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.235658</td>\n","    </tr>\n","    <tr>\n","      <th>43</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>6</td>\n","      <td>0.426532</td>\n","      <td>14.685736</td>\n","      <td>0.146857</td>\n","      <td>0.401154</td>\n","      <td>0.0</td>\n","      <td>0.164166</td>\n","      <td>0.164166</td>\n","      <td>0.423537</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>1.230362</td>\n","    </tr>\n","    <tr>\n","      <th>44</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>1</td>\n","      <td>0.377825</td>\n","      <td>11.352361</td>\n","      <td>0.113524</td>\n","      <td>0.365510</td>\n","      <td>0.0</td>\n","      <td>1.021183</td>\n","      <td>1.021183</td>\n","      <td>0.362517</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.324801</td>\n","    </tr>\n","    <tr>\n","      <th>45</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>2</td>\n","      <td>0.405456</td>\n","      <td>13.468536</td>\n","      <td>0.134685</td>\n","      <td>0.385390</td>\n","      <td>0.0</td>\n","      <td>1.542807</td>\n","      <td>1.542807</td>\n","      <td>0.381674</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.376876</td>\n","    </tr>\n","    <tr>\n","      <th>46</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>3</td>\n","      <td>0.402731</td>\n","      <td>13.298446</td>\n","      <td>0.132984</td>\n","      <td>0.380210</td>\n","      <td>0.0</td>\n","      <td>0.653133</td>\n","      <td>0.653133</td>\n","      <td>0.391961</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.372462</td>\n","    </tr>\n","    <tr>\n","      <th>47</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>4</td>\n","      <td>0.400584</td>\n","      <td>12.830936</td>\n","      <td>0.128309</td>\n","      <td>0.371917</td>\n","      <td>0.0</td>\n","      <td>1.160635</td>\n","      <td>1.160635</td>\n","      <td>0.382351</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.421006</td>\n","    </tr>\n","    <tr>\n","      <th>48</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>5</td>\n","      <td>0.391492</td>\n","      <td>12.389840</td>\n","      <td>0.123898</td>\n","      <td>0.361600</td>\n","      <td>0.0</td>\n","      <td>1.212710</td>\n","      <td>1.212710</td>\n","      <td>0.372953</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.456311</td>\n","    </tr>\n","    <tr>\n","      <th>49</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>6</td>\n","      <td>0.384367</td>\n","      <td>11.760110</td>\n","      <td>0.117601</td>\n","      <td>0.352178</td>\n","      <td>0.0</td>\n","      <td>1.236540</td>\n","      <td>1.236540</td>\n","      <td>0.365844</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.497793</td>\n","    </tr>\n","    <tr>\n","      <th>50</th>\n","      <td>gpt-4o-mini</td>\n","      <td>1</td>\n","      <td>0.378537</td>\n","      <td>12.052844</td>\n","      <td>0.120528</td>\n","      <td>0.369579</td>\n","      <td>0.0</td>\n","      <td>0.095322</td>\n","      <td>0.095322</td>\n","      <td>0.376984</td>\n","      <td>25</td>\n","      <td>0</td>\n","      <td>0.889673</td>\n","    </tr>\n","    <tr>\n","      <th>51</th>\n","      <td>gpt-4o-mini</td>\n","      <td>2</td>\n","      <td>0.378592</td>\n","      <td>12.033707</td>\n","      <td>0.120337</td>\n","      <td>0.369223</td>\n","      <td>0.0</td>\n","      <td>0.095322</td>\n","      <td>0.095322</td>\n","      <td>0.377039</td>\n","      <td>27</td>\n","      <td>0</td>\n","      <td>0.949691</td>\n","    </tr>\n","    <tr>\n","      <th>52</th>\n","      <td>gpt-4o-mini</td>\n","      <td>3</td>\n","      <td>0.377362</td>\n","      <td>11.933111</td>\n","      <td>0.119331</td>\n","      <td>0.368845</td>\n","      <td>0.0</td>\n","      <td>0.095322</td>\n","      <td>0.095322</td>\n","      <td>0.375814</td>\n","      <td>24</td>\n","      <td>0</td>\n","      <td>0.902030</td>\n","    </tr>\n","    <tr>\n","      <th>53</th>\n","      <td>gpt-4o-mini</td>\n","      <td>4</td>\n","      <td>0.378185</td>\n","      <td>11.933286</td>\n","      <td>0.119333</td>\n","      <td>0.369313</td>\n","      <td>0.0</td>\n","      <td>0.095322</td>\n","      <td>0.095322</td>\n","      <td>0.376634</td>\n","      <td>24</td>\n","      <td>0</td>\n","      <td>0.984113</td>\n","    </tr>\n","    <tr>\n","      <th>54</th>\n","      <td>gpt-4o-mini</td>\n","      <td>5</td>\n","      <td>0.379067</td>\n","      <td>11.955698</td>\n","      <td>0.119557</td>\n","      <td>0.370052</td>\n","      <td>0.0</td>\n","      <td>0.095322</td>\n","      <td>0.095322</td>\n","      <td>0.377512</td>\n","      <td>23</td>\n","      <td>0</td>\n","      <td>0.835834</td>\n","    </tr>\n","    <tr>\n","      <th>55</th>\n","      <td>gpt-4o-mini</td>\n","      <td>6</td>\n","      <td>0.379223</td>\n","      <td>11.982812</td>\n","      <td>0.119828</td>\n","      <td>0.370201</td>\n","      <td>0.0</td>\n","      <td>0.095322</td>\n","      <td>0.095322</td>\n","      <td>0.377667</td>\n","      <td>25</td>\n","      <td>0</td>\n","      <td>0.832304</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                                        model  epochs    meteor     spbleu  \\\n","0                     Qwen/Qwen2-72B-Instruct       0  0.400364  12.223833   \n","1                      Qwen/Qwen2-7B-Instruct       0  0.377477  11.783493   \n","2                internlm/internlm2_5-7b-chat       0  0.368168  11.360521   \n","3      shenzhi-wang/Llama3.1-70B-Chinese-Chat       0  0.363870  10.874678   \n","4       shenzhi-wang/Llama3.1-8B-Chinese-Chat       0  0.347622   9.799439   \n","5   shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat       0  0.328500   8.313795   \n","6             microsoft/Phi-3.5-mini-instruct       0  0.288749   6.616686   \n","7                                 gpt-4o-mini       0  0.379770  12.082384   \n","8                     Qwen/Qwen2-72B-Instruct       1  0.468989  18.065844   \n","9                     Qwen/Qwen2-72B-Instruct       2  0.477542  18.979032   \n","10                    Qwen/Qwen2-72B-Instruct       3  0.463054  18.066219   \n","11                    Qwen/Qwen2-72B-Instruct       4  0.454036  16.975593   \n","12                    Qwen/Qwen2-72B-Instruct       5  0.441333  16.090609   \n","13                    Qwen/Qwen2-72B-Instruct       6  0.439274  15.615748   \n","14                     Qwen/Qwen2-7B-Instruct       1  0.406770  13.127239   \n","15                     Qwen/Qwen2-7B-Instruct       2  0.427677  14.782460   \n","16                     Qwen/Qwen2-7B-Instruct       3  0.444096  15.514758   \n","17                     Qwen/Qwen2-7B-Instruct       4  0.440138  15.217827   \n","18                     Qwen/Qwen2-7B-Instruct       5  0.435675  14.823013   \n","19                     Qwen/Qwen2-7B-Instruct       6  0.436153  14.965352   \n","20               internlm/internlm2_5-7b-chat       1  0.381014  11.999934   \n","21               internlm/internlm2_5-7b-chat       2  0.405713  13.753748   \n","22               internlm/internlm2_5-7b-chat       3  0.420791  14.373117   \n","23               internlm/internlm2_5-7b-chat       4  0.431093  15.104731   \n","24               internlm/internlm2_5-7b-chat       5  0.425150  14.854584   \n","25               internlm/internlm2_5-7b-chat       6  0.425637  14.867310   \n","26            microsoft/Phi-3.5-mini-instruct       1  0.346101   9.405371   \n","27            microsoft/Phi-3.5-mini-instruct       2  0.356541  10.050233   \n","28            microsoft/Phi-3.5-mini-instruct       3  0.367523  10.688776   \n","29            microsoft/Phi-3.5-mini-instruct       4  0.378257  11.274744   \n","30            microsoft/Phi-3.5-mini-instruct       5  0.380318  11.472004   \n","31            microsoft/Phi-3.5-mini-instruct       6  0.381069  11.286091   \n","32     shenzhi-wang/Llama3.1-70B-Chinese-Chat       1  0.429608  15.325299   \n","33     shenzhi-wang/Llama3.1-70B-Chinese-Chat       2  0.455615  17.389741   \n","34     shenzhi-wang/Llama3.1-70B-Chinese-Chat       3  0.460877  17.719650   \n","35     shenzhi-wang/Llama3.1-70B-Chinese-Chat       4  0.446636  16.467606   \n","36     shenzhi-wang/Llama3.1-70B-Chinese-Chat       5  0.437621  15.619591   \n","37     shenzhi-wang/Llama3.1-70B-Chinese-Chat       6  0.429413  14.903520   \n","38      shenzhi-wang/Llama3.1-8B-Chinese-Chat       1  0.392366  12.373115   \n","39      shenzhi-wang/Llama3.1-8B-Chinese-Chat       2  0.417323  14.079363   \n","40      shenzhi-wang/Llama3.1-8B-Chinese-Chat       3  0.433494  15.393154   \n","41      shenzhi-wang/Llama3.1-8B-Chinese-Chat       4  0.432840  15.400852   \n","42      shenzhi-wang/Llama3.1-8B-Chinese-Chat       5  0.429451  15.110463   \n","43      shenzhi-wang/Llama3.1-8B-Chinese-Chat       6  0.426532  14.685736   \n","44  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat       1  0.377825  11.352361   \n","45  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat       2  0.405456  13.468536   \n","46  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat       3  0.402731  13.298446   \n","47  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat       4  0.400584  12.830936   \n","48  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat       5  0.391492  12.389840   \n","49  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat       6  0.384367  11.760110   \n","50                                gpt-4o-mini       1  0.378537  12.052844   \n","51                                gpt-4o-mini       2  0.378592  12.033707   \n","52                                gpt-4o-mini       3  0.377362  11.933111   \n","53                                gpt-4o-mini       4  0.378185  11.933286   \n","54                                gpt-4o-mini       5  0.379067  11.955698   \n","55                                gpt-4o-mini       6  0.379223  11.982812   \n","\n","      bleu_1   rouge_l  ews_score  repetition_score  total_repetitions  \\\n","0   0.122238  0.384692        0.0          0.195940           0.195940   \n","1   0.117835  0.367905        0.0          0.071492           0.071492   \n","2   0.113605  0.360267        0.0          0.214475           0.214475   \n","3   0.108747  0.353357        0.0          0.154457           0.154457   \n","4   0.097994  0.335269        0.0          2.216240           2.216240   \n","5   0.083138  0.317988        0.0          0.127979           0.127979   \n","6   0.066167  0.292031        0.0          0.135922           0.135922   \n","7   0.120824  0.370822        0.0          0.095322           0.095322   \n","8   0.180658  0.447596        0.0          0.040600           0.040600   \n","9   0.189790  0.451435        0.0          0.081200           0.081200   \n","10  0.180662  0.436618        0.0          0.094440           0.094440   \n","11  0.169756  0.423267        0.0          0.120035           0.120035   \n","12  0.160906  0.409046        0.0          1.176523           1.176523   \n","13  0.156157  0.407679        0.0          0.424537           0.424537   \n","14  0.131272  0.392371        0.0          0.073257           0.073257   \n","15  0.147825  0.408637        0.0          2.097087           2.097087   \n","16  0.155148  0.418747        0.0          1.640777           1.640777   \n","17  0.152178  0.415962        0.0          0.714034           0.714034   \n","18  0.148230  0.406247        0.0          0.913504           0.913504   \n","19  0.149654  0.408016        0.0          0.167696           0.167696   \n","20  0.119999  0.372987        0.0          2.573698           2.573698   \n","21  0.137537  0.393768        0.0          1.302736           1.302736   \n","22  0.143731  0.404704        0.0          2.699029           2.699029   \n","23  0.151047  0.411498        0.0          1.598411           1.598411   \n","24  0.148546  0.405565        0.0          0.703442           0.703442   \n","25  0.148673  0.406607        0.0          0.689320           0.689320   \n","26  0.094054  0.322777        0.0          3.694616           3.694616   \n","27  0.100502  0.339722        0.0          2.666372           2.666372   \n","28  0.106888  0.346121        0.0          2.456311           2.456311   \n","29  0.112747  0.358863        0.0          5.050309           5.050309   \n","30  0.114720  0.361402        0.0          3.442189           3.442189   \n","31  0.112861  0.359407        0.0          4.394528           4.394528   \n","32  0.153253  0.417687        0.0          0.841130           0.841130   \n","33  0.173897  0.437795        0.0          0.130627           0.130627   \n","34  0.177196  0.433571        0.0          0.076787           0.076787   \n","35  0.164676  0.417982        0.0          0.087379           0.087379   \n","36  0.156196  0.410065        0.0          0.083848           0.083848   \n","37  0.149035  0.397632        0.0          0.159753           0.159753   \n","38  0.123731  0.371004        0.0          1.023831           1.023831   \n","39  0.140794  0.397327        0.0          0.211827           0.211827   \n","40  0.153932  0.409588        0.0          0.765225           0.765225   \n","41  0.154009  0.408374        0.0          0.141218           0.141218   \n","42  0.151105  0.403315        0.0          0.167696           0.167696   \n","43  0.146857  0.401154        0.0          0.164166           0.164166   \n","44  0.113524  0.365510        0.0          1.021183           1.021183   \n","45  0.134685  0.385390        0.0          1.542807           1.542807   \n","46  0.132984  0.380210        0.0          0.653133           0.653133   \n","47  0.128309  0.371917        0.0          1.160635           1.160635   \n","48  0.123898  0.361600        0.0          1.212710           1.212710   \n","49  0.117601  0.352178        0.0          1.236540           1.236540   \n","50  0.120528  0.369579        0.0          0.095322           0.095322   \n","51  0.120337  0.369223        0.0          0.095322           0.095322   \n","52  0.119331  0.368845        0.0          0.095322           0.095322   \n","53  0.119333  0.369313        0.0          0.095322           0.095322   \n","54  0.119557  0.370052        0.0          0.095322           0.095322   \n","55  0.119828  0.370201        0.0          0.095322           0.095322   \n","\n","         rap  num_incomplete_translations  num_max_output_tokens  eval_time  \n","0   0.397018                           37                      0   8.894969  \n","1   0.376313                           89                      0   0.980583  \n","2   0.364806                           10                      0   1.224184  \n","3   0.361464                           55                      0   7.833186  \n","4   0.319818                           16                      0   1.075022  \n","5   0.326695                           18                      0   1.204766  \n","6   0.287066                           17                      0   0.983230  \n","7   0.378211                           22                      0   1.593998  \n","8   0.468166                            1                      0  15.127979  \n","9   0.475871                            0                      0  15.532215  \n","10  0.461171                            2                      0  15.616064  \n","11  0.451695                           11                      0  16.109444  \n","12  0.420996                           24                      0  16.624007  \n","13  0.431482                           32                      0  16.712268  \n","14  0.405485                            7                      0   1.173875  \n","15  0.395017                            3                      0   1.263019  \n","16  0.416608                            6                      0   1.269197  \n","17  0.427338                           11                      0   1.234775  \n","18  0.419740                           12                      0   1.262136  \n","19  0.433025                           13                      0   1.238305  \n","20  0.346545                            3                      0   1.536628  \n","21  0.385226                            1                      0   1.565755  \n","22  0.381230                            0                      0   1.598411  \n","23  0.405011                            0                      0   1.556929  \n","24  0.412958                            0                      0   1.578111  \n","25  0.413661                            0                      0   1.556046  \n","26  0.304519                            3                      0   1.702560  \n","27  0.323349                            0                      0   1.654016  \n","28  0.335518                            0                      0   1.641659  \n","29  0.321225                            0                      0   1.696381  \n","30  0.337021                            1                      0   1.696381  \n","31  0.329019                            0                      0   1.701677  \n","32  0.415050                            0                      0  15.308914  \n","33  0.453062                            0                      0  15.309797  \n","34  0.459351                            0                      0  16.096205  \n","35  0.444955                            0                      0  16.263019  \n","36  0.436040                            0                      0  16.224184  \n","37  0.426477                            0                      0  16.559576  \n","38  0.376431                            0                      0   1.225949  \n","39  0.413558                            0                      0   1.198588  \n","40  0.420043                            0                      0   1.234775  \n","41  0.430220                            1                      0   1.218888  \n","42  0.426372                            0                      0   1.235658  \n","43  0.423537                            1                      0   1.230362  \n","44  0.362517                            0                      0   1.324801  \n","45  0.381674                            0                      0   1.376876  \n","46  0.391961                            0                      0   1.372462  \n","47  0.382351                            0                      0   1.421006  \n","48  0.372953                            0                      0   1.456311  \n","49  0.365844                            0                      0   1.497793  \n","50  0.376984                           25                      0   0.889673  \n","51  0.377039                           27                      0   0.949691  \n","52  0.375814                           24                      0   0.902030  \n","53  0.376634                           24                      0   0.984113  \n","54  0.377512                           23                      0   0.835834  \n","55  0.377667                           25                      0   0.832304  "]},"execution_count":17,"metadata":{},"output_type":"execute_result"}],"source":["metrics_df = pd.concat([df_base, metrics_df], ignore_index=True)\n","metrics_df"]},{"cell_type":"code","execution_count":18,"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>epochs</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/Qwen2-72B-Instruct</td>\n","      <td>0</td>\n","      <td>0.400364</td>\n","      <td>12.223833</td>\n","      <td>0.122238</td>\n","      <td>0.384692</td>\n","      <td>0.0</td>\n","      <td>0.195940</td>\n","      <td>0.195940</td>\n","      <td>0.397018</td>\n","      <td>37</td>\n","      <td>0</td>\n","      <td>8.894969</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>Qwen/Qwen2-72B-Instruct</td>\n","      <td>1</td>\n","      <td>0.468989</td>\n","      <td>18.065844</td>\n","      <td>0.180658</td>\n","      <td>0.447596</td>\n","      <td>0.0</td>\n","      <td>0.040600</td>\n","      <td>0.040600</td>\n","      <td>0.468166</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>15.127979</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>Qwen/Qwen2-72B-Instruct</td>\n","      <td>2</td>\n","      <td>0.477542</td>\n","      <td>18.979032</td>\n","      <td>0.189790</td>\n","      <td>0.451435</td>\n","      <td>0.0</td>\n","      <td>0.081200</td>\n","      <td>0.081200</td>\n","      <td>0.475871</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>15.532215</td>\n","    </tr>\n","    <tr>\n","      <th>10</th>\n","      <td>Qwen/Qwen2-72B-Instruct</td>\n","      <td>3</td>\n","      <td>0.463054</td>\n","      <td>18.066219</td>\n","      <td>0.180662</td>\n","      <td>0.436618</td>\n","      <td>0.0</td>\n","      <td>0.094440</td>\n","      <td>0.094440</td>\n","      <td>0.461171</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>15.616064</td>\n","    </tr>\n","    <tr>\n","      <th>11</th>\n","      <td>Qwen/Qwen2-72B-Instruct</td>\n","      <td>4</td>\n","      <td>0.454036</td>\n","      <td>16.975593</td>\n","      <td>0.169756</td>\n","      <td>0.423267</td>\n","      <td>0.0</td>\n","      <td>0.120035</td>\n","      <td>0.120035</td>\n","      <td>0.451695</td>\n","      <td>11</td>\n","      <td>0</td>\n","      <td>16.109444</td>\n","    </tr>\n","    <tr>\n","      <th>12</th>\n","      <td>Qwen/Qwen2-72B-Instruct</td>\n","      <td>5</td>\n","      <td>0.441333</td>\n","      <td>16.090609</td>\n","      <td>0.160906</td>\n","      <td>0.409046</td>\n","      <td>0.0</td>\n","      <td>1.176523</td>\n","      <td>1.176523</td>\n","      <td>0.420996</td>\n","      <td>24</td>\n","      <td>0</td>\n","      <td>16.624007</td>\n","    </tr>\n","    <tr>\n","      <th>13</th>\n","      <td>Qwen/Qwen2-72B-Instruct</td>\n","      <td>6</td>\n","      <td>0.439274</td>\n","      <td>15.615748</td>\n","      <td>0.156157</td>\n","      <td>0.407679</td>\n","      <td>0.0</td>\n","      <td>0.424537</td>\n","      <td>0.424537</td>\n","      <td>0.431482</td>\n","      <td>32</td>\n","      <td>0</td>\n","      <td>16.712268</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>0</td>\n","      <td>0.377477</td>\n","      <td>11.783493</td>\n","      <td>0.117835</td>\n","      <td>0.367905</td>\n","      <td>0.0</td>\n","      <td>0.071492</td>\n","      <td>0.071492</td>\n","      <td>0.376313</td>\n","      <td>89</td>\n","      <td>0</td>\n","      <td>0.980583</td>\n","    </tr>\n","    <tr>\n","      <th>14</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>1</td>\n","      <td>0.406770</td>\n","      <td>13.127239</td>\n","      <td>0.131272</td>\n","      <td>0.392371</td>\n","      <td>0.0</td>\n","      <td>0.073257</td>\n","      <td>0.073257</td>\n","      <td>0.405485</td>\n","      <td>7</td>\n","      <td>0</td>\n","      <td>1.173875</td>\n","    </tr>\n","    <tr>\n","      <th>15</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>2</td>\n","      <td>0.427677</td>\n","      <td>14.782460</td>\n","      <td>0.147825</td>\n","      <td>0.408637</td>\n","      <td>0.0</td>\n","      <td>2.097087</td>\n","      <td>2.097087</td>\n","      <td>0.395017</td>\n","      <td>3</td>\n","      <td>0</td>\n","      <td>1.263019</td>\n","    </tr>\n","    <tr>\n","      <th>16</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>3</td>\n","      <td>0.444096</td>\n","      <td>15.514758</td>\n","      <td>0.155148</td>\n","      <td>0.418747</td>\n","      <td>0.0</td>\n","      <td>1.640777</td>\n","      <td>1.640777</td>\n","      <td>0.416608</td>\n","      <td>6</td>\n","      <td>0</td>\n","      <td>1.269197</td>\n","    </tr>\n","    <tr>\n","      <th>17</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>4</td>\n","      <td>0.440138</td>\n","      <td>15.217827</td>\n","      <td>0.152178</td>\n","      <td>0.415962</td>\n","      <td>0.0</td>\n","      <td>0.714034</td>\n","      <td>0.714034</td>\n","      <td>0.427338</td>\n","      <td>11</td>\n","      <td>0</td>\n","      <td>1.234775</td>\n","    </tr>\n","    <tr>\n","      <th>18</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>5</td>\n","      <td>0.435675</td>\n","      <td>14.823013</td>\n","      <td>0.148230</td>\n","      <td>0.406247</td>\n","      <td>0.0</td>\n","      <td>0.913504</td>\n","      <td>0.913504</td>\n","      <td>0.419740</td>\n","      <td>12</td>\n","      <td>0</td>\n","      <td>1.262136</td>\n","    </tr>\n","    <tr>\n","      <th>19</th>\n","      <td>Qwen/Qwen2-7B-Instruct</td>\n","      <td>6</td>\n","      <td>0.436153</td>\n","      <td>14.965352</td>\n","      <td>0.149654</td>\n","      <td>0.408016</td>\n","      <td>0.0</td>\n","      <td>0.167696</td>\n","      <td>0.167696</td>\n","      <td>0.433025</td>\n","      <td>13</td>\n","      <td>0</td>\n","      <td>1.238305</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>gpt-4o-mini</td>\n","      <td>0</td>\n","      <td>0.379770</td>\n","      <td>12.082384</td>\n","      <td>0.120824</td>\n","      <td>0.370822</td>\n","      <td>0.0</td>\n","      <td>0.095322</td>\n","      <td>0.095322</td>\n","      <td>0.378211</td>\n","      <td>22</td>\n","      <td>0</td>\n","      <td>1.593998</td>\n","    </tr>\n","    <tr>\n","      <th>50</th>\n","      <td>gpt-4o-mini</td>\n","      <td>1</td>\n","      <td>0.378537</td>\n","      <td>12.052844</td>\n","      <td>0.120528</td>\n","      <td>0.369579</td>\n","      <td>0.0</td>\n","      <td>0.095322</td>\n","      <td>0.095322</td>\n","      <td>0.376984</td>\n","      <td>25</td>\n","      <td>0</td>\n","      <td>0.889673</td>\n","    </tr>\n","    <tr>\n","      <th>51</th>\n","      <td>gpt-4o-mini</td>\n","      <td>2</td>\n","      <td>0.378592</td>\n","      <td>12.033707</td>\n","      <td>0.120337</td>\n","      <td>0.369223</td>\n","      <td>0.0</td>\n","      <td>0.095322</td>\n","      <td>0.095322</td>\n","      <td>0.377039</td>\n","      <td>27</td>\n","      <td>0</td>\n","      <td>0.949691</td>\n","    </tr>\n","    <tr>\n","      <th>52</th>\n","      <td>gpt-4o-mini</td>\n","      <td>3</td>\n","      <td>0.377362</td>\n","      <td>11.933111</td>\n","      <td>0.119331</td>\n","      <td>0.368845</td>\n","      <td>0.0</td>\n","      <td>0.095322</td>\n","      <td>0.095322</td>\n","      <td>0.375814</td>\n","      <td>24</td>\n","      <td>0</td>\n","      <td>0.902030</td>\n","    </tr>\n","    <tr>\n","      <th>53</th>\n","      <td>gpt-4o-mini</td>\n","      <td>4</td>\n","      <td>0.378185</td>\n","      <td>11.933286</td>\n","      <td>0.119333</td>\n","      <td>0.369313</td>\n","      <td>0.0</td>\n","      <td>0.095322</td>\n","      <td>0.095322</td>\n","      <td>0.376634</td>\n","      <td>24</td>\n","      <td>0</td>\n","      <td>0.984113</td>\n","    </tr>\n","    <tr>\n","      <th>54</th>\n","      <td>gpt-4o-mini</td>\n","      <td>5</td>\n","      <td>0.379067</td>\n","      <td>11.955698</td>\n","      <td>0.119557</td>\n","      <td>0.370052</td>\n","      <td>0.0</td>\n","      <td>0.095322</td>\n","      <td>0.095322</td>\n","      <td>0.377512</td>\n","      <td>23</td>\n","      <td>0</td>\n","      <td>0.835834</td>\n","    </tr>\n","    <tr>\n","      <th>55</th>\n","      <td>gpt-4o-mini</td>\n","      <td>6</td>\n","      <td>0.379223</td>\n","      <td>11.982812</td>\n","      <td>0.119828</td>\n","      <td>0.370201</td>\n","      <td>0.0</td>\n","      <td>0.095322</td>\n","      <td>0.095322</td>\n","      <td>0.377667</td>\n","      <td>25</td>\n","      <td>0</td>\n","      <td>0.832304</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>0</td>\n","      <td>0.368168</td>\n","      <td>11.360521</td>\n","      <td>0.113605</td>\n","      <td>0.360267</td>\n","      <td>0.0</td>\n","      <td>0.214475</td>\n","      <td>0.214475</td>\n","      <td>0.364806</td>\n","      <td>10</td>\n","      <td>0</td>\n","      <td>1.224184</td>\n","    </tr>\n","    <tr>\n","      <th>20</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>1</td>\n","      <td>0.381014</td>\n","      <td>11.999934</td>\n","      <td>0.119999</td>\n","      <td>0.372987</td>\n","      <td>0.0</td>\n","      <td>2.573698</td>\n","      <td>2.573698</td>\n","      <td>0.346545</td>\n","      <td>3</td>\n","      <td>0</td>\n","      <td>1.536628</td>\n","    </tr>\n","    <tr>\n","      <th>21</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>2</td>\n","      <td>0.405713</td>\n","      <td>13.753748</td>\n","      <td>0.137537</td>\n","      <td>0.393768</td>\n","      <td>0.0</td>\n","      <td>1.302736</td>\n","      <td>1.302736</td>\n","      <td>0.385226</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>1.565755</td>\n","    </tr>\n","    <tr>\n","      <th>22</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>3</td>\n","      <td>0.420791</td>\n","      <td>14.373117</td>\n","      <td>0.143731</td>\n","      <td>0.404704</td>\n","      <td>0.0</td>\n","      <td>2.699029</td>\n","      <td>2.699029</td>\n","      <td>0.381230</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.598411</td>\n","    </tr>\n","    <tr>\n","      <th>23</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>4</td>\n","      <td>0.431093</td>\n","      <td>15.104731</td>\n","      <td>0.151047</td>\n","      <td>0.411498</td>\n","      <td>0.0</td>\n","      <td>1.598411</td>\n","      <td>1.598411</td>\n","      <td>0.405011</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.556929</td>\n","    </tr>\n","    <tr>\n","      <th>24</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>5</td>\n","      <td>0.425150</td>\n","      <td>14.854584</td>\n","      <td>0.148546</td>\n","      <td>0.405565</td>\n","      <td>0.0</td>\n","      <td>0.703442</td>\n","      <td>0.703442</td>\n","      <td>0.412958</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.578111</td>\n","    </tr>\n","    <tr>\n","      <th>25</th>\n","      <td>internlm/internlm2_5-7b-chat</td>\n","      <td>6</td>\n","      <td>0.425637</td>\n","      <td>14.867310</td>\n","      <td>0.148673</td>\n","      <td>0.406607</td>\n","      <td>0.0</td>\n","      <td>0.689320</td>\n","      <td>0.689320</td>\n","      <td>0.413661</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.556046</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>microsoft/Phi-3.5-mini-instruct</td>\n","      <td>0</td>\n","      <td>0.288749</td>\n","      <td>6.616686</td>\n","      <td>0.066167</td>\n","      <td>0.292031</td>\n","      <td>0.0</td>\n","      <td>0.135922</td>\n","      <td>0.135922</td>\n","      <td>0.287066</td>\n","      <td>17</td>\n","      <td>0</td>\n","      <td>0.983230</td>\n","    </tr>\n","    <tr>\n","      <th>26</th>\n","      <td>microsoft/Phi-3.5-mini-instruct</td>\n","      <td>1</td>\n","      <td>0.346101</td>\n","      <td>9.405371</td>\n","      <td>0.094054</td>\n","      <td>0.322777</td>\n","      <td>0.0</td>\n","      <td>3.694616</td>\n","      <td>3.694616</td>\n","      <td>0.304519</td>\n","      <td>3</td>\n","      <td>0</td>\n","      <td>1.702560</td>\n","    </tr>\n","    <tr>\n","      <th>27</th>\n","      <td>microsoft/Phi-3.5-mini-instruct</td>\n","      <td>2</td>\n","      <td>0.356541</td>\n","      <td>10.050233</td>\n","      <td>0.100502</td>\n","      <td>0.339722</td>\n","      <td>0.0</td>\n","      <td>2.666372</td>\n","      <td>2.666372</td>\n","      <td>0.323349</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.654016</td>\n","    </tr>\n","    <tr>\n","      <th>28</th>\n","      <td>microsoft/Phi-3.5-mini-instruct</td>\n","      <td>3</td>\n","      <td>0.367523</td>\n","      <td>10.688776</td>\n","      <td>0.106888</td>\n","      <td>0.346121</td>\n","      <td>0.0</td>\n","      <td>2.456311</td>\n","      <td>2.456311</td>\n","      <td>0.335518</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.641659</td>\n","    </tr>\n","    <tr>\n","      <th>29</th>\n","      <td>microsoft/Phi-3.5-mini-instruct</td>\n","      <td>4</td>\n","      <td>0.378257</td>\n","      <td>11.274744</td>\n","      <td>0.112747</td>\n","      <td>0.358863</td>\n","      <td>0.0</td>\n","      <td>5.050309</td>\n","      <td>5.050309</td>\n","      <td>0.321225</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.696381</td>\n","    </tr>\n","    <tr>\n","      <th>30</th>\n","      <td>microsoft/Phi-3.5-mini-instruct</td>\n","      <td>5</td>\n","      <td>0.380318</td>\n","      <td>11.472004</td>\n","      <td>0.114720</td>\n","      <td>0.361402</td>\n","      <td>0.0</td>\n","      <td>3.442189</td>\n","      <td>3.442189</td>\n","      <td>0.337021</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>1.696381</td>\n","    </tr>\n","    <tr>\n","      <th>31</th>\n","      <td>microsoft/Phi-3.5-mini-instruct</td>\n","      <td>6</td>\n","      <td>0.381069</td>\n","      <td>11.286091</td>\n","      <td>0.112861</td>\n","      <td>0.359407</td>\n","      <td>0.0</td>\n","      <td>4.394528</td>\n","      <td>4.394528</td>\n","      <td>0.329019</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.701677</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>shenzhi-wang/Llama3.1-70B-Chinese-Chat</td>\n","      <td>0</td>\n","      <td>0.363870</td>\n","      <td>10.874678</td>\n","      <td>0.108747</td>\n","      <td>0.353357</td>\n","      <td>0.0</td>\n","      <td>0.154457</td>\n","      <td>0.154457</td>\n","      <td>0.361464</td>\n","      <td>55</td>\n","      <td>0</td>\n","      <td>7.833186</td>\n","    </tr>\n","    <tr>\n","      <th>32</th>\n","      <td>shenzhi-wang/Llama3.1-70B-Chinese-Chat</td>\n","      <td>1</td>\n","      <td>0.429608</td>\n","      <td>15.325299</td>\n","      <td>0.153253</td>\n","      <td>0.417687</td>\n","      <td>0.0</td>\n","      <td>0.841130</td>\n","      <td>0.841130</td>\n","      <td>0.415050</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>15.308914</td>\n","    </tr>\n","    <tr>\n","      <th>33</th>\n","      <td>shenzhi-wang/Llama3.1-70B-Chinese-Chat</td>\n","      <td>2</td>\n","      <td>0.455615</td>\n","      <td>17.389741</td>\n","      <td>0.173897</td>\n","      <td>0.437795</td>\n","      <td>0.0</td>\n","      <td>0.130627</td>\n","      <td>0.130627</td>\n","      <td>0.453062</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>15.309797</td>\n","    </tr>\n","    <tr>\n","      <th>34</th>\n","      <td>shenzhi-wang/Llama3.1-70B-Chinese-Chat</td>\n","      <td>3</td>\n","      <td>0.460877</td>\n","      <td>17.719650</td>\n","      <td>0.177196</td>\n","      <td>0.433571</td>\n","      <td>0.0</td>\n","      <td>0.076787</td>\n","      <td>0.076787</td>\n","      <td>0.459351</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>16.096205</td>\n","    </tr>\n","    <tr>\n","      <th>35</th>\n","      <td>shenzhi-wang/Llama3.1-70B-Chinese-Chat</td>\n","      <td>4</td>\n","      <td>0.446636</td>\n","      <td>16.467606</td>\n","      <td>0.164676</td>\n","      <td>0.417982</td>\n","      <td>0.0</td>\n","      <td>0.087379</td>\n","      <td>0.087379</td>\n","      <td>0.444955</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>16.263019</td>\n","    </tr>\n","    <tr>\n","      <th>36</th>\n","      <td>shenzhi-wang/Llama3.1-70B-Chinese-Chat</td>\n","      <td>5</td>\n","      <td>0.437621</td>\n","      <td>15.619591</td>\n","      <td>0.156196</td>\n","      <td>0.410065</td>\n","      <td>0.0</td>\n","      <td>0.083848</td>\n","      <td>0.083848</td>\n","      <td>0.436040</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>16.224184</td>\n","    </tr>\n","    <tr>\n","      <th>37</th>\n","      <td>shenzhi-wang/Llama3.1-70B-Chinese-Chat</td>\n","      <td>6</td>\n","      <td>0.429413</td>\n","      <td>14.903520</td>\n","      <td>0.149035</td>\n","      <td>0.397632</td>\n","      <td>0.0</td>\n","      <td>0.159753</td>\n","      <td>0.159753</td>\n","      <td>0.426477</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>16.559576</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>0</td>\n","      <td>0.347622</td>\n","      <td>9.799439</td>\n","      <td>0.097994</td>\n","      <td>0.335269</td>\n","      <td>0.0</td>\n","      <td>2.216240</td>\n","      <td>2.216240</td>\n","      <td>0.319818</td>\n","      <td>16</td>\n","      <td>0</td>\n","      <td>1.075022</td>\n","    </tr>\n","    <tr>\n","      <th>38</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>1</td>\n","      <td>0.392366</td>\n","      <td>12.373115</td>\n","      <td>0.123731</td>\n","      <td>0.371004</td>\n","      <td>0.0</td>\n","      <td>1.023831</td>\n","      <td>1.023831</td>\n","      <td>0.376431</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.225949</td>\n","    </tr>\n","    <tr>\n","      <th>39</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>2</td>\n","      <td>0.417323</td>\n","      <td>14.079363</td>\n","      <td>0.140794</td>\n","      <td>0.397327</td>\n","      <td>0.0</td>\n","      <td>0.211827</td>\n","      <td>0.211827</td>\n","      <td>0.413558</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.198588</td>\n","    </tr>\n","    <tr>\n","      <th>40</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>3</td>\n","      <td>0.433494</td>\n","      <td>15.393154</td>\n","      <td>0.153932</td>\n","      <td>0.409588</td>\n","      <td>0.0</td>\n","      <td>0.765225</td>\n","      <td>0.765225</td>\n","      <td>0.420043</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.234775</td>\n","    </tr>\n","    <tr>\n","      <th>41</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>4</td>\n","      <td>0.432840</td>\n","      <td>15.400852</td>\n","      <td>0.154009</td>\n","      <td>0.408374</td>\n","      <td>0.0</td>\n","      <td>0.141218</td>\n","      <td>0.141218</td>\n","      <td>0.430220</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>1.218888</td>\n","    </tr>\n","    <tr>\n","      <th>42</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>5</td>\n","      <td>0.429451</td>\n","      <td>15.110463</td>\n","      <td>0.151105</td>\n","      <td>0.403315</td>\n","      <td>0.0</td>\n","      <td>0.167696</td>\n","      <td>0.167696</td>\n","      <td>0.426372</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.235658</td>\n","    </tr>\n","    <tr>\n","      <th>43</th>\n","      <td>shenzhi-wang/Llama3.1-8B-Chinese-Chat</td>\n","      <td>6</td>\n","      <td>0.426532</td>\n","      <td>14.685736</td>\n","      <td>0.146857</td>\n","      <td>0.401154</td>\n","      <td>0.0</td>\n","      <td>0.164166</td>\n","      <td>0.164166</td>\n","      <td>0.423537</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>1.230362</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>0</td>\n","      <td>0.328500</td>\n","      <td>8.313795</td>\n","      <td>0.083138</td>\n","      <td>0.317988</td>\n","      <td>0.0</td>\n","      <td>0.127979</td>\n","      <td>0.127979</td>\n","      <td>0.326695</td>\n","      <td>18</td>\n","      <td>0</td>\n","      <td>1.204766</td>\n","    </tr>\n","    <tr>\n","      <th>44</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>1</td>\n","      <td>0.377825</td>\n","      <td>11.352361</td>\n","      <td>0.113524</td>\n","      <td>0.365510</td>\n","      <td>0.0</td>\n","      <td>1.021183</td>\n","      <td>1.021183</td>\n","      <td>0.362517</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.324801</td>\n","    </tr>\n","    <tr>\n","      <th>45</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>2</td>\n","      <td>0.405456</td>\n","      <td>13.468536</td>\n","      <td>0.134685</td>\n","      <td>0.385390</td>\n","      <td>0.0</td>\n","      <td>1.542807</td>\n","      <td>1.542807</td>\n","      <td>0.381674</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.376876</td>\n","    </tr>\n","    <tr>\n","      <th>46</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>3</td>\n","      <td>0.402731</td>\n","      <td>13.298446</td>\n","      <td>0.132984</td>\n","      <td>0.380210</td>\n","      <td>0.0</td>\n","      <td>0.653133</td>\n","      <td>0.653133</td>\n","      <td>0.391961</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.372462</td>\n","    </tr>\n","    <tr>\n","      <th>47</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>4</td>\n","      <td>0.400584</td>\n","      <td>12.830936</td>\n","      <td>0.128309</td>\n","      <td>0.371917</td>\n","      <td>0.0</td>\n","      <td>1.160635</td>\n","      <td>1.160635</td>\n","      <td>0.382351</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.421006</td>\n","    </tr>\n","    <tr>\n","      <th>48</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>5</td>\n","      <td>0.391492</td>\n","      <td>12.389840</td>\n","      <td>0.123898</td>\n","      <td>0.361600</td>\n","      <td>0.0</td>\n","      <td>1.212710</td>\n","      <td>1.212710</td>\n","      <td>0.372953</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.456311</td>\n","    </tr>\n","    <tr>\n","      <th>49</th>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>6</td>\n","      <td>0.384367</td>\n","      <td>11.760110</td>\n","      <td>0.117601</td>\n","      <td>0.352178</td>\n","      <td>0.0</td>\n","      <td>1.236540</td>\n","      <td>1.236540</td>\n","      <td>0.365844</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.497793</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                                        model  epochs    meteor     spbleu  \\\n","0                     Qwen/Qwen2-72B-Instruct       0  0.400364  12.223833   \n","8                     Qwen/Qwen2-72B-Instruct       1  0.468989  18.065844   \n","9                     Qwen/Qwen2-72B-Instruct       2  0.477542  18.979032   \n","10                    Qwen/Qwen2-72B-Instruct       3  0.463054  18.066219   \n","11                    Qwen/Qwen2-72B-Instruct       4  0.454036  16.975593   \n","12                    Qwen/Qwen2-72B-Instruct       5  0.441333  16.090609   \n","13                    Qwen/Qwen2-72B-Instruct       6  0.439274  15.615748   \n","1                      Qwen/Qwen2-7B-Instruct       0  0.377477  11.783493   \n","14                     Qwen/Qwen2-7B-Instruct       1  0.406770  13.127239   \n","15                     Qwen/Qwen2-7B-Instruct       2  0.427677  14.782460   \n","16                     Qwen/Qwen2-7B-Instruct       3  0.444096  15.514758   \n","17                     Qwen/Qwen2-7B-Instruct       4  0.440138  15.217827   \n","18                     Qwen/Qwen2-7B-Instruct       5  0.435675  14.823013   \n","19                     Qwen/Qwen2-7B-Instruct       6  0.436153  14.965352   \n","7                                 gpt-4o-mini       0  0.379770  12.082384   \n","50                                gpt-4o-mini       1  0.378537  12.052844   \n","51                                gpt-4o-mini       2  0.378592  12.033707   \n","52                                gpt-4o-mini       3  0.377362  11.933111   \n","53                                gpt-4o-mini       4  0.378185  11.933286   \n","54                                gpt-4o-mini       5  0.379067  11.955698   \n","55                                gpt-4o-mini       6  0.379223  11.982812   \n","2                internlm/internlm2_5-7b-chat       0  0.368168  11.360521   \n","20               internlm/internlm2_5-7b-chat       1  0.381014  11.999934   \n","21               internlm/internlm2_5-7b-chat       2  0.405713  13.753748   \n","22               internlm/internlm2_5-7b-chat       3  0.420791  14.373117   \n","23               internlm/internlm2_5-7b-chat       4  0.431093  15.104731   \n","24               internlm/internlm2_5-7b-chat       5  0.425150  14.854584   \n","25               internlm/internlm2_5-7b-chat       6  0.425637  14.867310   \n","6             microsoft/Phi-3.5-mini-instruct       0  0.288749   6.616686   \n","26            microsoft/Phi-3.5-mini-instruct       1  0.346101   9.405371   \n","27            microsoft/Phi-3.5-mini-instruct       2  0.356541  10.050233   \n","28            microsoft/Phi-3.5-mini-instruct       3  0.367523  10.688776   \n","29            microsoft/Phi-3.5-mini-instruct       4  0.378257  11.274744   \n","30            microsoft/Phi-3.5-mini-instruct       5  0.380318  11.472004   \n","31            microsoft/Phi-3.5-mini-instruct       6  0.381069  11.286091   \n","3      shenzhi-wang/Llama3.1-70B-Chinese-Chat       0  0.363870  10.874678   \n","32     shenzhi-wang/Llama3.1-70B-Chinese-Chat       1  0.429608  15.325299   \n","33     shenzhi-wang/Llama3.1-70B-Chinese-Chat       2  0.455615  17.389741   \n","34     shenzhi-wang/Llama3.1-70B-Chinese-Chat       3  0.460877  17.719650   \n","35     shenzhi-wang/Llama3.1-70B-Chinese-Chat       4  0.446636  16.467606   \n","36     shenzhi-wang/Llama3.1-70B-Chinese-Chat       5  0.437621  15.619591   \n","37     shenzhi-wang/Llama3.1-70B-Chinese-Chat       6  0.429413  14.903520   \n","4       shenzhi-wang/Llama3.1-8B-Chinese-Chat       0  0.347622   9.799439   \n","38      shenzhi-wang/Llama3.1-8B-Chinese-Chat       1  0.392366  12.373115   \n","39      shenzhi-wang/Llama3.1-8B-Chinese-Chat       2  0.417323  14.079363   \n","40      shenzhi-wang/Llama3.1-8B-Chinese-Chat       3  0.433494  15.393154   \n","41      shenzhi-wang/Llama3.1-8B-Chinese-Chat       4  0.432840  15.400852   \n","42      shenzhi-wang/Llama3.1-8B-Chinese-Chat       5  0.429451  15.110463   \n","43      shenzhi-wang/Llama3.1-8B-Chinese-Chat       6  0.426532  14.685736   \n","5   shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat       0  0.328500   8.313795   \n","44  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat       1  0.377825  11.352361   \n","45  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat       2  0.405456  13.468536   \n","46  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat       3  0.402731  13.298446   \n","47  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat       4  0.400584  12.830936   \n","48  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat       5  0.391492  12.389840   \n","49  shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat       6  0.384367  11.760110   \n","\n","      bleu_1   rouge_l  ews_score  repetition_score  total_repetitions  \\\n","0   0.122238  0.384692        0.0          0.195940           0.195940   \n","8   0.180658  0.447596        0.0          0.040600           0.040600   \n","9   0.189790  0.451435        0.0          0.081200           0.081200   \n","10  0.180662  0.436618        0.0          0.094440           0.094440   \n","11  0.169756  0.423267        0.0          0.120035           0.120035   \n","12  0.160906  0.409046        0.0          1.176523           1.176523   \n","13  0.156157  0.407679        0.0          0.424537           0.424537   \n","1   0.117835  0.367905        0.0          0.071492           0.071492   \n","14  0.131272  0.392371        0.0          0.073257           0.073257   \n","15  0.147825  0.408637        0.0          2.097087           2.097087   \n","16  0.155148  0.418747        0.0          1.640777           1.640777   \n","17  0.152178  0.415962        0.0          0.714034           0.714034   \n","18  0.148230  0.406247        0.0          0.913504           0.913504   \n","19  0.149654  0.408016        0.0          0.167696           0.167696   \n","7   0.120824  0.370822        0.0          0.095322           0.095322   \n","50  0.120528  0.369579        0.0          0.095322           0.095322   \n","51  0.120337  0.369223        0.0          0.095322           0.095322   \n","52  0.119331  0.368845        0.0          0.095322           0.095322   \n","53  0.119333  0.369313        0.0          0.095322           0.095322   \n","54  0.119557  0.370052        0.0          0.095322           0.095322   \n","55  0.119828  0.370201        0.0          0.095322           0.095322   \n","2   0.113605  0.360267        0.0          0.214475           0.214475   \n","20  0.119999  0.372987        0.0          2.573698           2.573698   \n","21  0.137537  0.393768        0.0          1.302736           1.302736   \n","22  0.143731  0.404704        0.0          2.699029           2.699029   \n","23  0.151047  0.411498        0.0          1.598411           1.598411   \n","24  0.148546  0.405565        0.0          0.703442           0.703442   \n","25  0.148673  0.406607        0.0          0.689320           0.689320   \n","6   0.066167  0.292031        0.0          0.135922           0.135922   \n","26  0.094054  0.322777        0.0          3.694616           3.694616   \n","27  0.100502  0.339722        0.0          2.666372           2.666372   \n","28  0.106888  0.346121        0.0          2.456311           2.456311   \n","29  0.112747  0.358863        0.0          5.050309           5.050309   \n","30  0.114720  0.361402        0.0          3.442189           3.442189   \n","31  0.112861  0.359407        0.0          4.394528           4.394528   \n","3   0.108747  0.353357        0.0          0.154457           0.154457   \n","32  0.153253  0.417687        0.0          0.841130           0.841130   \n","33  0.173897  0.437795        0.0          0.130627           0.130627   \n","34  0.177196  0.433571        0.0          0.076787           0.076787   \n","35  0.164676  0.417982        0.0          0.087379           0.087379   \n","36  0.156196  0.410065        0.0          0.083848           0.083848   \n","37  0.149035  0.397632        0.0          0.159753           0.159753   \n","4   0.097994  0.335269        0.0          2.216240           2.216240   \n","38  0.123731  0.371004        0.0          1.023831           1.023831   \n","39  0.140794  0.397327        0.0          0.211827           0.211827   \n","40  0.153932  0.409588        0.0          0.765225           0.765225   \n","41  0.154009  0.408374        0.0          0.141218           0.141218   \n","42  0.151105  0.403315        0.0          0.167696           0.167696   \n","43  0.146857  0.401154        0.0          0.164166           0.164166   \n","5   0.083138  0.317988        0.0          0.127979           0.127979   \n","44  0.113524  0.365510        0.0          1.021183           1.021183   \n","45  0.134685  0.385390        0.0          1.542807           1.542807   \n","46  0.132984  0.380210        0.0          0.653133           0.653133   \n","47  0.128309  0.371917        0.0          1.160635           1.160635   \n","48  0.123898  0.361600        0.0          1.212710           1.212710   \n","49  0.117601  0.352178        0.0          1.236540           1.236540   \n","\n","         rap  num_incomplete_translations  num_max_output_tokens  eval_time  \n","0   0.397018                           37                      0   8.894969  \n","8   0.468166                            1                      0  15.127979  \n","9   0.475871                            0                      0  15.532215  \n","10  0.461171                            2                      0  15.616064  \n","11  0.451695                           11                      0  16.109444  \n","12  0.420996                           24                      0  16.624007  \n","13  0.431482                           32                      0  16.712268  \n","1   0.376313                           89                      0   0.980583  \n","14  0.405485                            7                      0   1.173875  \n","15  0.395017                            3                      0   1.263019  \n","16  0.416608                            6                      0   1.269197  \n","17  0.427338                           11                      0   1.234775  \n","18  0.419740                           12                      0   1.262136  \n","19  0.433025                           13                      0   1.238305  \n","7   0.378211                           22                      0   1.593998  \n","50  0.376984                           25                      0   0.889673  \n","51  0.377039                           27                      0   0.949691  \n","52  0.375814                           24                      0   0.902030  \n","53  0.376634                           24                      0   0.984113  \n","54  0.377512                           23                      0   0.835834  \n","55  0.377667                           25                      0   0.832304  \n","2   0.364806                           10                      0   1.224184  \n","20  0.346545                            3                      0   1.536628  \n","21  0.385226                            1                      0   1.565755  \n","22  0.381230                            0                      0   1.598411  \n","23  0.405011                            0                      0   1.556929  \n","24  0.412958                            0                      0   1.578111  \n","25  0.413661                            0                      0   1.556046  \n","6   0.287066                           17                      0   0.983230  \n","26  0.304519                            3                      0   1.702560  \n","27  0.323349                            0                      0   1.654016  \n","28  0.335518                            0                      0   1.641659  \n","29  0.321225                            0                      0   1.696381  \n","30  0.337021                            1                      0   1.696381  \n","31  0.329019                            0                      0   1.701677  \n","3   0.361464                           55                      0   7.833186  \n","32  0.415050                            0                      0  15.308914  \n","33  0.453062                            0                      0  15.309797  \n","34  0.459351                            0                      0  16.096205  \n","35  0.444955                            0                      0  16.263019  \n","36  0.436040                            0                      0  16.224184  \n","37  0.426477                            0                      0  16.559576  \n","4   0.319818                           16                      0   1.075022  \n","38  0.376431                            0                      0   1.225949  \n","39  0.413558                            0                      0   1.198588  \n","40  0.420043                            0                      0   1.234775  \n","41  0.430220                            1                      0   1.218888  \n","42  0.426372                            0                      0   1.235658  \n","43  0.423537                            1                      0   1.230362  \n","5   0.326695                           18                      0   1.204766  \n","44  0.362517                            0                      0   1.324801  \n","45  0.381674                            0                      0   1.376876  \n","46  0.391961                            0                      0   1.372462  \n","47  0.382351                            0                      0   1.421006  \n","48  0.372953                            0                      0   1.456311  \n","49  0.365844                            0                      0   1.497793  "]},"execution_count":18,"metadata":{},"output_type":"execute_result"}],"source":["# sort metrics_df by model and epochs\n","metrics_df.sort_values([\"model\", variant], inplace=True)\n","metrics_df"]},{"cell_type":"code","execution_count":19,"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":20,"metadata":{},"outputs":[],"source":["model_orders = {\n","    \"microsoft/Phi-3.5-mini-instruct\": 5,\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":69,"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_shots(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, -0.85 if len(columns) > 1 else -0.48),\n","    )\n","\n","    plt.show()"]},{"cell_type":"code","execution_count":70,"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_shots(\n","    metrics_df,\n","    models,\n","    markers,\n","    [\"meteor\", \"spbleu\"],\n","    [\"METEOR\", \"spBLEU\"],\n",")"]},{"cell_type":"code","execution_count":71,"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_shots(\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":72,"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_shots(\n","    metrics_df,\n","    models,\n","    markers,\n","    [\"meteor\"],\n","    [\"METEOR\"],\n",")"]},{"cell_type":"code","execution_count":73,"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_shots(\n","    metrics_df,\n","    models,\n","    markers,\n","    [\"spbleu\"],\n","    [\"spBLEU\"],\n",")"]},{"cell_type":"code","execution_count":74,"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_shots(\n","    metrics_df,\n","    models,\n","    markers,\n","    [\"eval_time\"],\n","    [\"Mean Inference Time (seconds)\"],\n","    # log_scales=[True],\n",")"]},{"cell_type":"code","execution_count":75,"metadata":{},"outputs":[{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAA5YAAANjCAYAAADRVIXUAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/TGe4hAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOydd3wc5Z3/3zPbd9V7t2RJtiz3JmOCMcWA6QTSKAkhhBDO3C+B5HKQ5CCQQi5cCAnxQRoJF8jBpZAQMKZjDNgY9y6rWL331fbdmd8fs1XFltwkWc/7xTDtmWef1Xp35vN8m6SqqopAIBAIBAKBQCAQCAQniDzRAxAIBAKBQCAQCAQCwdRGCEuBQCAQCAQCgUAgEJwUQlgKBAKBQCAQCAQCgeCkEMJSIBAIBAKBQCAQCAQnhRCWAoFAIBAIBAKBQCA4KYSwFAgEAoFAIBAIBALBSSGEpUAgEAgEAoFAIBAITgr9RA9gquL3+9m1axeZmZnIstDnAoFAIBAIBALBdEVRFNrb21m8eDF6/fSUWNPzXZ8Cdu3aRUVFxUQPQyAQCAQCgUAgEEwStm3bxvLlyyd6GBOCEJYnSGZmJqD948nOzp7g0QC33Qa///1Ej0JwKhGf6dmJ+FzPPsRnenYiPtezD/GZnn1Mos+0tbWVioqKsEaYjghheYKE3F+zs7PJy8ub4NEAFgtMhnEITh3iMz07EZ/r2Yf4TM9OxOd69iE+07OPSfiZTucQuen7zgUCgUAgEAgEAoFAcEoQwlIgEAgEAoFAIBAIBCeFEJbjZP369ZSXl3PBBRdM9FAEAoFAIBAIBAKBYFIghOU4WbduHQcPHuTdd9+d6KEIBAKBQCAQCAQCwaRACEuBQCAQCAQCgUAgEJwUQlgKBAKBQCAQCAQCgeCkEMJSIBAIBAKBQCAQCAQnhRCWAoFAIBAIBAKBQCA4KYSwFAgEAoFAIBAIBALBSSGEpUAgEAgEAoFAIBAITgohLAUCgUAgEAgEAoFAcFIIYSkQCAQCgUAgEAgEgpNCCEuBQCAQCAQCgUAgEJwUQliOk/Xr11NeXs4FF1ww0UMRCARTiICisqWmm38kFLOlppuAok70kAQCgUAgmJKIe+rkRD/RA5hqrFu3jnXr1tHU1ER+fv5ED0cgEEwBNu5v5aF/HqS13w15a+A3W8lONPPg1eWsnZc90cMTCASCs5qAorLtaA8dCcVk1HRTUZSCTpYmeliCEyR0T03o9HFR/FWsX78Ne7pR3FMnAcJiKRAIBKeRjftbuevZnZqojKKt381dz+5k4/7WCRqZQCAQnP1s3N/Kef/5Njf+Zitfy1vDjb/Zynn/+bb47Z2ihO6p/b1uLnUasKlwmdPIQK+4p04GhLAUCASC00RAUXnonwcZyUEndOyhfx4ULjwCwSSjans7v8+8g+odHRM9FMFJED2xN9ur465+M7O8spjYm6KE76kqXOI0YgQkJIzAxU4jIO6pE41whRUIBILTgKKovLK3ZZilMhoVaO13s+1oDyuLU8/c4AQCwag4B7y8+1wlXtnKu88dJqc0CWuCcaKHJRgn0RN7VgUudRowoVm3mvRuXDI8+NIBFuYnkRFvDrvG9jm92N1+VBUUVUUluFZBVVVmpNow6jW7TPuAm067Z4S2KooKc3MSsBq1R+3GHicNPU6U4Dk12Geo7+WFKSRaDQDUdg5yqNUebKuJJEVVURTtvnF+aRoZCWYAjrTb+biuB0UFovpWVK3tJXMyKUi1AnC4bYC3DnVEvTaoqOFrr1iQTVlWAgCHWgd4cVczijL8b6AC1y7KZemM5HC/v3+/bsS/l6LCDUvzWD0rPTzen75eGRxnqE3oOvjMsjyuWpADQHXHIN95cZ/WDpV+l0+bJPDpmOXXhT9rGYnZfh2VXh2V4p46oQhhKRAIBCeBL6BQ3+2kusNOdccgVR2DVHcMUtM5iNunjKmPD6o7WTIjCZNed/zGgklF1fZ23s+8g1U7OihZmjHRwxGcJKqq8u6fDuN1+0GS8Lj8vPunw1zx1QUTPbSzDlVV8QaUmN+9hm4n3Q4PLl8Aty+A26fg8gZw+7Xt288rCrd9dms9Oxt6Y9pFrgvw8LVztYm9YdYtlTVOIy/FeWkf8LDykbf5+DtrSI83AfDYG0f4ny31o477vX+7MCzUnv7gKL/aVDtq241fXxUWan/d2cTjb1aN2vbFfzmXxQWaUHvzUDs/2nB41LZ/+vKKsLD86GgP//H3/aO2LUy1hsd7oHmAR1+rHLVtaWZ8eLxHuxz8+r3R39u8nMSwsGztd/PC9sZR2y4pSAoLy+4BD2/vb0engg7QqZK2BnQq1Af7BOhuGaSnsg8dWhuzChWqjnPdBlRUJCJxsioqlzoNNOoDdNhHn9AVnF6EsBQIBIIx4PYFqOnURGP0crTLgX8Utxu9LI16LppfvlPD796v45yZKawqTef8WekUp9uQJJFcYjIjLFtnH3/9+xHad3dFDqhwdHcXf3mxkk99cvbEDewM4g8oQYGmhEWaX1GZk50QbvNuZQdt/e5wu2hBJ0sS37tmbrjt9146wMd1PREBGGzn8gUw6GSO/ODycNuHXz7Am4dGdz/+wsoZGHSatXDb0R5e2tMyatuWPk1cjGbdmu3VUWkMAJrIDWHQyZgNMrIkIUuadJEkkOXIdogEs4GsBDOyBJIkae0kKbwfGitAWpyJsqx4bQxD2iJJWIyRMWYnWlhRlBJuE1lrYwhZNgEKUqxcNjcTSQWdBLIiIaMiqxKyqpIZFKAAmZLM52dmIqtaLJykgKyqSCrIKsxItobbxnV5+df0dCRFOx+9RoFZqbZwW/XQAP8mJ2omR4XgWg3vz0+NC7cd3NbJ1/sto35uKzMSw9ueGjvXOU2jto0metIgI958/AsEp4UJF5br16/n0Ucfpa2tjYULF/LEE09QUVFx3Ouef/55brzxRq699lr+/ve/h4+P9iD2k5/8hH/7t38DoLCwkPr62NmoRx55hPvuu+/E34hAIDgrsLt9w8RjVccgjb1O1FE0otWooyQjjpL0OEoytXVpZjw5iWYu+K93aet3jxhnCWAx6LAadXQ7vLxT2ck7lZ0A5CSawyLzEyWpJFmFYJlMqKrKpj8dxufRLFtet59N/1vJ5XfOn+ihCU6Ql7c1Uv9aEyYYZgmpf62Jl3OtXFUx8dng2/rdOLx+XN4AHn8Al1cJCzWTXubSuVnhtr95r5bmPlewXSBGCCZbDfzq88vCbT/z1BZ2NfbiCwz/tUqLM7L9u5eE99e/U83Hdb0jjs9i0MUIy7puBwdaBkZs6/UrBBQ17IaakWAmL9mCxaDDbNBpa6MOs17GYtQRUFQMQf119cIc5uYkYDHqMOtj21kMOty+QNgF9ljWrd/deU7Y+gfwH1eV8x9XlceMU1VUlICKoqgYTBEB+Pn5uXxuVhYBv4ISUAn4FAIBBcWvIukkZqRHBNU5Bgvz5hVG2voVAn4Vxa8g6+WwpRAgvc7FLV5rsG2wXUAh4FOQZIm5ORHx5Xy7jUV77SijTGLOvTXSr2NHD1k7R/4sAMq+HBmvv9GJuWpw1LalUcJS71agxztq2+KUSNu4qHuZJEvodBI6g4ysk9DpZQqj+k3PtpFdnIisl9HpJfw+hZYjfaO+TmjSoMQ0NjEqOPVMqLB84YUXuPfee3nqqadYsWIFjz/+OJdddhmVlZVkZIzuUlRXV8c3v/lNVq1aNexca2tsIParr77K7bffzg033BBz/OGHH+aOO+4I78fHx5/kuxEIBFOJHoeXqnY71Z2DVLVrrqtV7YO0DYzuQpNoMVCaEaeJyOBSmhlPdoIZeZTU9Q9eXc5dz+5EghhxGWr9s88u5LK5WRxqtbO5qpPNVV1sq+uhJeha9ML2RiQJFuQlcX5pGufPSmdRflLMTLjgzFO9o4PaKMuWqkDtrk6qtrdTuixzAkcWHI+qoioqqhKMdwo+EIcmXz0uPz63HyWgBttqccGqoj08p2Tb0AXjyPo7XQz2uiP9RbVTVZX8OSkYzdrjRGeDnc5Gu9ZWjTyQq6rWvuyc7LBVt6Wql4aDPTF9hhZFhUUX55OUqVlQGg50c3hLqxZjpka1U0BVFM65rpiMGUEXvj2dbN9Qp8WQRfcb3D//c7OYMVeLv6rZ1cE7zx5GCah43P5hohIilpCPnz1C0//UhL+8Uvh/2nd70dVFnHPJjPB7+8cv98RMRqlRa8viZG6/bWH4b/anR7eH48yC4W4oaGNuyTLw8wfOB6C3zcEzP/gIvxLrZh/quylZx6U/1ISlvcdN91/qkP0KZsAMJEe1bYx67HEP+lhy2E2ZzxjTX8jy1hn1e+PzBlhVH2C534YkS2HLnhy06skZEWuUqqhc3Aqr49LQyZE2uuB1mTMTiP7p/ESrykprSvgPK/kBzahIWm4cZkNE1EkfdZPv9mv/prX/UACHBPoMK+dcXcTVPnPYBTYaCQkTKrfbzQxuaoOoeLy//dcO+jpcKH5FE3Z+NSzakjKt3PzQOeG2G57cR3fzyOLLlmjki/95Xnh/z1sNtNWOLOqMFj2fuKEkvN9RN0DjoZGFuzTkXhP6bg1FliVkvUQgoKCXtb+bLdlEcpZVE2pBISfrg+sh95S8smT0Jl1UO03cyToZnV6OEdjl5+WQX56CTicF20W3lYhPiQj3iquKWH5VIbJOHvW+GWLOuTnMOTcn5r0+8+h27LUDyAy/VkElfmYC6Xlxw84JzgwTKiwfe+wx7rjjDm677TYAnnrqKV555RWefvrpUa2HgUCAm2++mYceeojNmzfT19cXcz4rKytm/x//+AcXXnghM2fOjDkeHx8/rK1AIDi7UFWV9gEPVUPiH6s7BulxjD67mhFvigjHjDiKM+IozYgnLc44bvfUtfOyefKWJZE6lkGyhtSxLM9JoDwngTtXF+PyBvjoaDebq7rYXNXJkfZB9jT2saexjyferibOpGdlcSrnz0rn/NI0ZkTN8ApOLQGfgsflx+vyh9f2HjebXzgyYvs3/3CQ+n1dyHo5LMRkncRFX5gTbrPtn7V01NtjxJmqEBY/N3xrabjt5v87QsOBnuC5YPtwW5Uv/Ohc9MGH7bf/5xCVH7VpD5kjGC++9F/nYYnThMOWv1VzYPPoboRf+NG54YfBfZua2PPm6PFTNz64gpRs7XGidrcm6kYjb3ZyWFi21Q6w49XRY9lKl2WEhWVfh5Oq7aO7SC64KPJ9dg366Ki3j9q2unkgLCwDPgWPww8w4oNqCBmJDC8EGD1u+v8+bggLSyWgonhGbisBe+r7wvsBv4LeN5K1SRuP3xMIH1ECKnF+bUQj9m0zxbSN947etqwoIqYCAYV4t0r8KG1XzY48L6mKiq7Xx2i/OiWFSZG2wEDD6FYvq0Uf85vaeLCHgH/kv5vfG4jZr9vfFf7shpJRmMCs5ZkUuEb/TCUkzCrDxJ570IdrYOT7w9CxmeMMWOINEeEVElY6CcsQt/j8OSkkpFkiwiuqrd4UG1+/cE0Bpcuz0OmlmL5D26qqhv9uF9xcxvmfUzUhFyXoRhJt532qFD5VOurfJJpZFVnMqhjbc3JaXhxpYxRzOsOJT4pKksRnvrqQZ777IQFvYJgVWm/S8ZmvLjzh/gUnz4QJS6/Xy44dO7j//vvDx2RZZs2aNWzZsmXU6x5++GEyMjK4/fbb2bx58zFfo729nVdeeYVnnnlm2Lkf//jHfP/736egoICbbrqJe+65B71+9D+Hx+PB4/GE9+320W9aAoHgzBJQVJp7XcMEZE3HIHbPyA8eAHnJlrB41IRkPCXpcTHxK6eCtfOyuagskz9uqaP+f/6PGV/4DJ9fWRjOLDgUi1HHBbMzuGC25rnR2u8Kiswu3q/qpNfp442D7bxxsB3QYmxWBa2ZK4tTSTCf2vFPVZSAgt+rYLREftsbD/Xg6PMME4telx+DUcfFX4y4wP35x9vpqBvdbWzE1/SrVH7UHnNMb5BjhGV7nZ2GA92j9hH90Ojo89LX7jzGe1Qh+HGHrIOj9hv1TCzrNdczWZaQwkswjmzI5Ik1wUhyllVrI0nIOi3mS5K16/VRD4pJmVZmzEsNn5PkoIVFCoZe6SN9J+bYSF+SRkBVgwv4VTW87O91kIuWyCOxII72YgvegIpfVfAEFHyKiieg4A2odB9q4YH5aQCklSTwV5snbP1TQmtJWy9u6uJitCQwBfNS+X2Cm4ACF7sMzAjIo1pCavQKm+P9mqto8M8caqmTJealRCx1mTMT2bvAitsbwGTQYdJJmA06jDoZs0HHgsyILEvNjSP3s0X4AgpmvQ6jXsaklzHpdZj0EpenRvpNSLfwqX9fhkrs5EHIMmpLjIgZW6KRT35jsXYuunnQMhqXFBGhZquBq//fwkg7NdRU24hLjrTVG2SuuGt+xBobahu82BbVVgIu/fLccDs10hhVjR0DwIWfLwtPsIQ6Dr3O0Pjl8z5Vij+UIE2NbWuJN5KSY2PmojRq93SNONGCBJmFCZxzbazhYe1X5qOqatg1U9bJ6AwSOp1m3YvmunsWj9DxyFRcPfP4jYKEJj7GwnSL67YmGFnzhTm8/tsDMcclJNZ8fs60+3tMNiQ1OmL5DNLS0kJubi4ffvghK1euDB//1re+xaZNm/joo4+GXfP+++/zuc99jt27d5OWlsYXv/hF+vr6YmIso/nJT37Cj3/8Y1paWjCbI2b4xx57jCVLlpCSksKHH37I/fffz2233cZjjz026ni/973v8dBDDw073rhmDXmW0YOQzxjbtsEYYlMFUwjxmQ7Di0y9MYFqUzJVpmSqTUlUmZKpNSbhkUeeGNKpCjO8/ZR4+ij19FLi1dYzPX1Y1dFF56lkY3wRD2WdS6shMqOb7RvkwbYPWWs/Oq6+FOCAOY334vJ5z5bHDmsmfiky261TFRa72lk12MT5jiYWuDrRjRrhOXlRAZ9kxCOb8IbXJjyyEZ0aoMRdHW67OWE1ffpkvLIRj2QKr/2ykUR/L7d0RCYXn0+/mW5D+oivaQk4+VL7r8P7L6Z+ihZTHgAGxYNJ8SCrAQYMySNeH838wZ3YFCeSqqIjwELH7vC5BlMBDjkOCRUJRUueEdyWUCly14YFS7c+BbdsQUINtlOQUZCC1yT7e5CDn69LNhNAH+5naL961R/uVwV8yLhlvbZIOlyyHrekxyXryfUNku/TJlB7dGZeSijGJetxyQY8Q9pebK/nugHt82gyxPHFgitwS7pgv1qbgKSJz9u69/Fg+4cAtOmtnDPr86P+DT/be4j/bH0PALtsYH7Zl0Zte2V/Deub3wS078jM8juRVQWL4sesBjArfsyqH4viZ6Wzhe+0bw1f++2sVXTqLXwQV8TtA+YRYyw9Evwu3s132zaxzNWORfFjUvxYVD9mJYDhGJZMwcThlC08l3ErXskUm3VHVTGpHm7qeAar4pq4AQpOCBXYmHwVR80zUSUZSVUoctdwee8rEzquJpeL/DffpLGxkby8vAkdy0QxZYSl3W5nwYIF/Pd//zeXX65lEDuesCwrK+OSSy7hiSeeOOZYnn76ae68804GBwcxjRLwO9Ri2dzcTHl5+eT5x3PNNfDSSxM9CsEpomp7O+//ahurvrpiWpYwcHm1DKyhuEfNCmmnvts5apZVo15mZpotaIGMD8Y/xjEj1TqhZTxCBbpVYLZXx0UuA29ZvFQZtQfRJ29ZEnaHPREGPX621nSH4zNruxwx5xMtBj5Rksr5pemsmpVObtLpnwhTVRW/V4tPMtsi1tPa3Z247N6IldDpx+P243UFsCYaufDmsnDbP373Qwa6Ro53HRrn9PwPttHdNLK7nSXewJcejcTjb/pTJQNdLowWfXgxBdfmOD2zlkdcv5wDXnR6CYNZH3YrG2uMzxe/tXyMf61YfAHt30Uohtbu9nG0yxEsuaBEJWzRMmsuL0oJJ/Ko7RzkqU01w7J0hvZvP6+IGysKANjV0Msn//vDUcfxtYtLueeSWQBUtdu55Gfvjdr2y+cV8d1gspOWPhfn/vjtUdveWFHAI9drCY76XT4++d8fxCZqMWgWPbNBR0VRCp9ZpiXLCSgqz3xYpyVqMchYDDpM4Wt0pNqM5KdEMlp6/QoG3XDr62gEFJXz/vNtEjt9XO0cbvH4p9VLf7qB9//9onCiGcHUoGp7+zDrFmiW1MkQDy04MZwDXp57cCtepw+TzcBN3ztnwq2VTU1N5OfnTx5tMAFMmCtsWloaOp2O9vZYl6H29vYRYx9ramqoq6vj6quvDh9TgsHrer2eyspKiouLw+c2b95MZWUlL7zwwnHHsmLFCvx+P3V1dcyePXI6cZPJFCM6BwbG5x4lEIyV6VTCYGDEDKx2mnpdo2ZgtQUzsBZHC8iMOPJTrJPugW8sBbof+udBLinPOuGxx5n0rCnPZE259oDU2OMMx2a+X91Fv8vHhn1tbNjXBsDMdJsmMkvTOGdmKjbT8NtAwK9obqJOP1530F3Uqa1NFj3FSyKTHW/+/iCDfW68rgAepw+vK4DX5UdRVDIKE/j0fZGsk+//XxX2nlHEYoYlxgU0FHMk6ySMFj0Gsw6DRY/RrMeWYsIXUMLia/6afAYdXnRmHXqTHr1ZRm/SozPJ6Ew6XN5AOJX/gmuLaLe7g4XGQ0W8tQQ3TqDf6Qu7Qg9KCrVtDq1AeTBzfkBR+JWjj08hYxoh06RXgvX2Hrpfr8Trj2Tr/OzygnDNt6213fzwlUPhc9HiL6Co/Pj6+XwuLAD7+MLT20b9/L975ZywsOx1evm/7U2jtu20RyZHo0sbSBIx4s5kkEmwRCYEkqxGrlyQHRZ+lnA7bT0/L5KhMjXOyP/ecY7WLpitM5K1U8YYlSAk0WLg7W9cMOp4o9HJEl+KqmF4PEZzMz9W/w9eXc5df9zJbH2AEr/mEqugUq1XqDQGePLqhZPuN0ZwfEqWZlC9vZ2je7tQFZBkKFqYLkTlFMeaYOSCm2drk/A3rzhrn5OmGhMmLI1GI0uXLuWtt97iuuuuAzSh+NZbb3H33XcPa19WVsa+fftijn33u9/Fbrfz85//nPz82BTgv/vd71i6dCkLFx4/iHf37t3IsnzMTLQCwZngbC3O3T3oiUmcExKQ7QOeUa9JshpiYx+DAjI70Twh9R2jRQ9olhmn14/bp+DxK3h8AW3tD6CXZdaUZ7LtaM9xC3S39rvZdrSHlcGshL95r5bqjkFU1GAZsJD4UdHJMj/9TOQ3bf071exp7AtmkQxlvVSQA1o83Y7vrGF/6wDvHelk2zuNuJ0+TI0e6hqaaH2zmX+oElZJwmGUuPXuxSwpSEaWJZ68ZxPSiMlEoNsEd88+jxSbdhM/tLcT2RUYsW1lYz9NvU7ygrXReuNlGgYDeCRwSyoewCOpuFBxOjwsax9kdrDOW9uSRH452EUg9Cf3A/bg0gkvNueEi4m/73HyyBvHKCZ+xwrOLdbi717e28J//GO49SLE725dxsVztAfO94508c0/7xmx3etWHdcMsWxJSLxu8dLpC/DE29Ux55YVpoSFpcsbYF9z/6hjcPkif894s56cRHOwlIIuRrCZjbqY1Px5yVb+7bLZMda/kGA0G3ThIukAJelx7Hng0rDYO9Z3Kj3exPqblox6PhqTXhf+tzzVWDsvmyc/v4Qf//0gBU1gCk4U7MmSefK6k/MsEEwckiSx+qYymio165bRbGD1jdOjJunZTumyTEof/g0svfr4jQVnhAnNCnvvvfdy6623smzZMioqKnj88cdxOBzhLLFf+MIXyM3N5ZFHHsFsNjNv3ryY65OSkgCGHR8YGODPf/4zP/3pT4e95pYtW/joo4+48MILiY+PZ8uWLdxzzz3ccsstJCcfP25GIDidTOXi3Kqq0trvHpJ9VUum0+v0jXpdZoIp7L5aHJVIJ9U2egbWTrsHd5SQ04Sdtm0z6VlemBJu++zWevpdvkjbkBD0B8hONPNvl0XcL+/4n+009jjx+pVh7WekWnnj3tXhtrc+vY2qjpHdL3MSzawpz6TDPrYC3aF2qqqy6UA7e472YlLBpEoxa49egqCwVFWV/teaSbN7MaoS5mAbY9CCdlQfQKeTWVKQzJKCZH7xYhO6wMgzui0BhU89tYUUm5HzStKYgYoZ8KDikbT4stC6GyWm1IF9to33jnQNaadt+4AvRIWeORcl8tf+YyStiYoFlU26iKgcsW0EnSyhD5YvQNJKJIQKm4dKIYQwG3Th7L6R85Hi5tHlDBLMeorTbVrCmmCfA24/LX0uKg0BjgyxbFUFLVsAnyhJpTw7ISzq5kXVnZufl8jvv7gcU5Twsxgilj1rVIbIxQXJfHj/xaP/IaLITDCz7sKS4zcE9DqZRKsoWTOUtfOyuaQ8i9deraX+H5XMuW42X187U1gqpzjCuiUQnBkmVFh+9rOfpbOzkwceeIC2tjYWLVrExo0byczUZosbGhqQ5fHf+J5//nlUVeXGG28cds5kMvH888/zve99D4/HQ1FREffccw/33nvvSb8fgeBkOF5x7r8aZHL9o38fZp+TRXKWZr3obLBTs3P01PylyzNJzdUSyXQ3D1L1cfuobWcuTg/Xh+tpdbD3g2b6nD56Br30Or30OX30u73Y3QEqZT8tek1JJAYk5nt1aPkA9Zj0WuyUUa9ZSJKLE7jr03NJtBgY7HXzg59vY0+gix2KSkBRCCjgD27HF8Tx+Ne0WGzngJf7vvce3sDIyTIsOVaW/7sWU+d2+Hj/b9U4RskM251mgqCw9HkCmA8NkD6iCJYJ6CJWpIBfYXEfFPpNYVGjCy56WUI2aQ8tGfFmrApcMUqB7qucBnL9EhnxWnIxVYWVe1ysxMxI6LIj8ZGSJJHsVEkMjBw/OistLiYCMLMsGafbj86kQzbJ6Iw6nKi0OD202N1YHT56HF5e2tOC0aqJwrwUC/Nzk1hUkBQWSZIESZbIQ9kXPzeXaxxeJCki4qSguAOJrMTIe7lrdTGfP2dGjFCTiIi6pCj3yztXz+T2VUWa6EMK9x95nch7+/KqmXx51dgyLn56WT6fXja2IveXzs2KKTYPsKWmmxt/sxUkeMPqpWDAHLZsvWmNlCi4+8LSUS13aXEmLiwTHjKTFZ0sccWVxfCre+AKkbvgbEFYtwSC08+ECkuAu+++e0TXV4B33333mNf+4Q9/GPH4V77yFb7yla+MeG7JkiVs3bp1xHMCwUThDyhs/t8j5DF6ce6DrzXQ5ht91lyXYWZ5UFg21/ezY+Po9eEaFD+fuV6zgDY3DByz7V+OtJG/JIPqzkF6q/pZ2RIRdGYgK7iAjn5LAEu2lkBnlmTA/H6UdSrs9aoACk3GQRKDQsI54CW/bSTxJwE66noiYs896GOJUweMLKj6o4SW1+1n/oBEuB7DEKyJkQrhfl+Asl5GbVtUEBECiqIyoyPAjJiab6HiBlAcFO3LC5O52mdGP0KSFyn4SZf79VQUaRZWWZYwmnX4fcqwxDImi570gviYPtZ8YQ6yTgq3MVr0mKzaWjek2PVn//XYafF9AYVdDX28d6STzVWd7G3up7HXRWOviw372zDqZVYUpbCqNA2bSc/szHgkSSInyULOGBMCJVmNJFnHZimIthxOJiqKUshONNPW78Ypw+tWXzghk1PW/sVmJZrDn6lAIBAIBNOFCReWAoEA3vu45ZiFnGUkUnxwQO/HPYrRsr+ui+Xn5gKgTzKyw3iM+o0DDj4T3DYkGtl+jLaHO9y0vtkHQGpAwmDUfjYkQJY165FeltDrZJbMyeC7t2mxWH0dTn5Ra0eSgtY8Kdaqt3hOxPXcEm8kcWEKkkRMu9By3pzIQ7rJpmfBhXmMoNUAyJ0V6ddo1rPwotGtU1nFEfdEnV4+ZtuMwoiok2XpmG1T8zSB39/mPObnCmBRJPraHKTmaGL0tp+ch85w7Ji3EKcy+YRBJ1NRlEJFUQrfvGw2vQ4v71d3hbPNtva7w7U0f7ThMOnxJq12Zmk655WmkRY3ckbts41wkpdndyIBlcZA2P019Ik9eHW5cJ0UCAQCwbRDCEuBYBLQG/DjRMU6iloKxW9tiItY7mKLaMssyIhYjfKLk/EtTNTOGbR2EhIuXwCnx0+LFOC232sxgk29LrCO9KpapsjCtHjOzU6gNDOO4jQbM9KszEyLQ687tpt6UoaVBx44b0zvPz7FzC13LRpTW1uiiVWfnTWmtmabgfM+UzqmtkazfsxtdXp5TG3HUqB75qL0sKgE0Bsnh6Uu2Wbk6oU5XL0wB1VVqekcZNMRTWhure2m0+7hbzub+dvOZgDm5iSwqjSd82elsXRG8oSWeDndrJ2XzZO3LOGhfx7UkjMFyUo08+DV5SLJi0AgEAimJUJYCgQTTEf9AF0vNmBFCicvGamEwZtWL7/9wjLOK03DqJPDdfWiUVWVrkEv1R2DXFqeGZNIp8M+egbWZKtBK92RGUdJulb/sSQjjqyEicnAerYQk43QNdwqbLLop0R2QkmSgpl547n9vCI8/gA76nrZVNXJ5iNdHGwd4ECLtjy1qQaLQcc5M1OCQjM9nADnbCKU5GXb0R46HvwBGQ99l4qiFGGpFAgEAsG0RQhLgWCC+bC6C/egj35ZZY/Rz0XukUsYmOIMXFiWgU6WUFWV5j6XJhzb7dR0DlLVPkh15yB9x8jAmpVgDpbviAuX7yjJiCN1mrgxTgShbIQjFehefdPsKZmd0KTXcW5JGueWpHH/5VqW3verNZH5XlUXXYMe3qns5J3KTkDLkruqNJ1Vs9I4ryRtzHGWkx2dLGkJegZqYIqW2BAIBAKB4FQhhOU4Wb9+PevXr8fr9R6/sUAwBpLy4viZzUu7QcGtQp5/5BIGZp/KN/+8m5pOBzUdgzi8I9cOlCTIT7aGhWNx1DrBPHJiGsHp5Wwv0J0eb+KTi/P45OI8VFXlcJs9mASoi211PbT0u3lheyMvbG9EkmBBXhLnl6axqjSdxQVJGI7jVi0QCAQCgWDyI4TlOFm3bh3r1q2jqamJ/PyxpawXCKLp73Xzym/2s+azs8iYkcAFszP41JUl/PT1I8csYeD2Kby4qyXcj16WKEyzxbiulmTEUZweN2kzak5XplOBbkmSmJOdwJzsBO5cXYzLG2BbXU842+yR9kH2NPaxp7GPJ96uJs6kZ2VxKueXpnH+rHRmpNom+i0IBAKBQCA4AYSwFAjOIO9tbWLbs0ew+OG13x/klgdWIMkSBSmR7DkjlTAIccW8LK5emENpZhwzUm3C0jOFmK4Fui1GHatnpbN6VjoAbf1uNld18l5VF+9XddLr9PHGwXbeOKjVUi1IsbIqaM08tyRVWNkFAoFAIJgiCGEpEJwB7G4fv/ztbqz7B7Ag0adXmXNlHlIw0UdGvDmmfXQJg2g+v7Jw1KLrgsmPKNCtZU799LJ8Pr0sH0VROdAywHtVnbx3pJMd9b009Dh57qMGnvuoAZ0ssTg/KZxtdkFekkiOIxAIBALBJEUIS4HgNPPa3lZe+Z+DzB6UAInBNANfvmcpmakRK2VFUQpZCWbaBtwj9iGKrgvORmRZYn5eIvPzEll3YQmDHj8f1XaH4zNruxxsr+9le30vP3vzCAlmPecFrZmrStPISx6lTo5AIBAIBIIzjhCWAsFpQlFUvvbsTuI+6mF2QIcKZJ+byfW3lIctlSF0ssSywmRe3ts6rB9RdF0wXYgz6bl4TiYXz9GSGjX2OHm/uov3jnTyQXUXA24/G/a1sWFfGwAz022cHxSZ58xMxWYStzSBQCAQCCYKcRcWCE4TsiyRmWymVwZVkrj09rnMWpwxYttNRzp5ZZ8mKhMtBvpdkZIhoui6YLqSn2LlxooCbqwowB9Q2NvcHyxp0snuxj5qOx3Udjr4w4d1GHQSS2cka26zpenMzUkYsdarQCAQCASC04MQlgLBKeRIux2dLFGUakOWJe69bDbV87IpsJpJyhzZba+lz8XXn9+FqsKNFQX84Lp5oui6QDAEvU5mSUEySwqS+dqaUvpdPrbUdIfjM5t6XWyt7WFrbQ+PvlZJis3IeSVp4URAWYnm47+IQCAQCASCE0YIS4HgFOD2Bfjvd6r51bs1XC/ZuLg0nYtvnYPVqGfBMeIivX6Ff3luJ71OH/NyE8LurqLoukBwbBItBtbOy2LtvCxUVaW+28nmqk42HeliS00XPQ4vL+1p4aU9Wome2Znxmsiclc6KohRRkkcgEAgEglOMEJYCwUmytbabb7+4j/Z2B9c7jOQFAlT2tLHgwjwyZiQc89ofbTjE7sY+Ei0Gnrx5qXjYFQhOAEnSaroWptn4/MpCfAGFXQ19WlmTI53sbe6nst1OZbud375/FKNeZkVRStiaWZYVjyQJrwCBQCAQCE4GISwFghOk3+njkVcP8fzHjWT7JW51mbEFJIwWPZd8qfy4ovKlPS384cM6AH722YXkp4gMlwLBqcCgk6koSqGiKIVvXDqbXoeXD2q6wtlmW/vdbK7qYnNVF3CY9HgTq0rTOL80nfNK00iLM43pdQKKqrmtJxSTUdMt3NYFAoFAMK0RwnKcrF+/nvXr1+P1eid6KIIJpLpjkM/9egtdg17me3Rc5jYiqZCcbeOKr84fNZ4ycr2d+/66F4B1FxZzUVnmmRi2QDAtSbYZuWpBDlctyEFVVWo6B3kvmARoa203nXYPf9vZzN92NgMwNychmAQojaWFyZj0wz0JNu5v5aF/HqS13w15a+A3W8kWibYEAoFAMI0RwnKcrFu3jnXr1tHU1ER+fv5ED0cwQRSmWsmIN3OuQ89slwrAzEXpXPzFORjNx/5aOTx+vvrsTpzeACtnpnLPmllnYsgCgQDNbbYkI56SjHi+dF4RHn+AHXW9vFelWTQPtg5woEVbntpUg8Wg45yZKZrQnJVGcXocrx1o465nd6IO6but381dz+7kyVuWCHEpEAgEgmmHEJYCwRgIKCp/3t7IJ5fkYtLr0OtkfnPrMtyNg7z+5H6WX1XE0rUzhtWnHIqqqtz/t31UdwySEW/iFzcuRq+Tz9C7EAgEQzHpdZxbksa5JWncd3kZnXYPHwRrZ75X1UXXoId3Kjt5p7ITgOwEE30u/zBRCaCi1Z196J8HuaQ8S7jFCgQCgWBaIYSlQHAc9jf3c//f9rGvuZ/Wfjd3n1+MwaQjN8kCSRZufvgcEtIsY+rrj1vreWlPCzpZYv3NS0iPH1ssl0AgODOkx5u4bnEu1y3ORVVVDrfZ2VylxWZ+dLSH1gFPTPvZXh0XuQy8ZfFyxKigAq39brYd7dGyOwsEAoFAME0QwlIgGAWn18/P36zit+8fJaCoJJj1pLR7+eN3P+T6by4Nx1GOVVTuaujl+y8fBOD+y8tYXjh6GRKBQDDxSJLEnOwE5mQn8JXzi3F5A/z8rSqe2lQDgFWBS50GTMBlTiNNejfOoAPCj189xAWzM5idFc+szHgKU63CO0EgEAgEZzVCWAoEI7DpSCff/fs+GntcAFw1L4srfWZq328H4OAHLZx7fcmY++txeFn33E58AZXL52Vx+3lFp2XcAoHg9GEx6lg9K10Tlipc4jRiBCQkjKiscRp5KU5L7LanqZ89Tf3ha406mZnptrDQnJUZz+zMePKSLcjCZVYgEAgEZwFCWAoEQ/jNe7X8cMMhAHISzTywZjaDb7dRe7QdJDjn2pksuWzGmPsLKCpff2E3Lf1uitJs/ORTC0TNPIFgilJRlEJ2opnETh+z/JFssTISs/06Znt1dCbr+OrqmVS1D3Kk3c6R9kFcvgCH2+wcbrPH9Gcx6JiVGUdpUGjOytLWmQkm8TshEAgEgimFEJYCwRAum5vF428e4bPLC/h8aSbvPn0I54AXk1XPJbfPZcbc8cVN/fLtat470onZIPPkLUuINxtO08gFAsHpRidLfOfiWVQ+fQQVFYmI+FNRudRpYPbnZnFVRSRruKKoNPe5qGyzU9lup6rdTmX7IDUdmuAcat0EiDfrY4RmaWYcszPjSR1jjU2BQCAQCM40QlgKpj1Huxxsquzgi5/Q3FMLUq1s/veLcLc4+Mfju1ECKik5Ni7/6nySMo5dn3Io7x3p5PG3jgDww+vmU5aVcMrHLxAITi+qquJx+nH2exnsc+N8sw0zw62JEhJmCXS7+iBKWMqyRH6KlfwUK2vKIzVr/QGFum5nUGjaOdJup7LNTl23E7vbz/b6XrbX98a8RlqcMexKOyszntlZmrUzQUxYCQQCgWCCEcJSMG3xBRR+/V4tP3+rCq9fYU52AitmatbIFJuRQKGejBnx2JJMXPSF49enHEpLn4uvPb8LVYUbKwq4YWne6XgbAoHgBAkJRke/B2efF8eAB0efB2e/VzsWXDv6vQR8yhg7hdpdnex+q4E5K7MxWUcXfHqdTElGHCUZcVw+P1L30uMPUNvpCAvNI0GX2oYeJ12DXroGu/mwpjumr+xEc1BohkSn1q/VKG7zAoFAIDgziDuOYFqys6GX+/+6j8p2Ld5pVWka2YkWnANezDY9sk5GZ5C5+l8XYTDrxh3r5PUr/MtzO+l1+piXm8CDV5efjrchEAhGICwY+6LFoSYQnf0eHH1enAPaOuAfo2AETFY91kQjLrsP96DvmG0/+HM1H/6lmozCBPLnpJA/J5nMokR0+uNnhjXpdeFstNE4vX6qOwaDYlNzp61qt9Pa7w4vm450httLEhSkWMNCMyQ8Z6bFYRzDOAQCgUAgGA9CWI6T9evXs379erxe70QPRXAC2N0+Hn2tkj9urUdVNcvkA1eVc+2iHNpq+nnh1zuZvSKLc2/QMr4aLSf2FfnRhkPsbuwjwaznyZuXYjbojn+RQCA4Jqqq4nH4I0IxSiA6Y8TjOAWjTY8t0YQt0Ygt0YQ10YQtyYg1wYQtSTtuTTSiD36PnQNenntwK16Xf1hfepOO0mUZtNX009vmpP3oAO1HB9i+oQ69SUfurCTyy1LIn5NCcrZ1XJNWVqOeBXlJLMhLijne7/KF3Wmr2iPCs9vhpb7bSX23kzcOtkfGKEsUptm0GM4od9oZKaIkikAgEAhOHCEsx8m6detYt24dTU1N5OfnH/8CwaRBVVU+9+utHGgZAOCGJXl858o5JFsNHNjcwuYXjqAEVBoOdrP86iIMxhMTgy/taeEPH9YB8LPPLiI/ZXxxmQLBdENVVdwO33CB2OfBMeCNWB4HPCh+dcz9mm0GrIlGTRwmGLEmRcSjLcmENSFWMI4Va4KRC26ezeu/PTDs3EWfL6N0mRZHae9x03ioh6ZDPTQe7sU96KN+Xzf1+zQ3VluSifyyZPLmaELTmmAc1zhCJFoMLCtMYdmQ2rhdgx4tK21bxLpZ2W7H7tYsn9Udg7yyrzXc3qiXKUmPY3ZWJFnQrMx4cpNESRSBQCAQHB8hLAXTBkmS+PKqIh5/s4offXI+nyhJI+BTePfZwxz8QHu4Kl6SwUVfKDthUVndYee+v+4F4F8uKObiOZnHuUIgOHtRlaBgDLmjjhi/qG0rgXEIxjhDlHUx1soYPpZgQmc4fda3kqUZVG9v5+jeLlQFJBmKFqaHRSVAfIqZ8k/kUP6JHFRFpatpkMZDPTQe6qG1uh9Hn4fDW9s4vLUNgNS8uLDbbE5JEvoT/B0KkRZnIi3OxLnFaeFjqqrSNuCmsi1o3QwmDTrSbsftUzjYOsDB1oGYfmxGHSWZ8cyOcqedlRlPRrwoiSIQCASCCEJYCs5aFEXlT9saSI83cdncLACuW5TL5fOyMRt0DPZ62PjrfbQfHUCS4Jzrill8acEJPyg5PH6++uxOnN4AK2emcu8ls07l2xEIJg2qouIa9IXdUDVxqFkZHX0enAOR9fgFY9ANNco1NSwWg1bGscQpnm4kSWL1TWU0VW7F6/RhNBtYfePs0dvLEukF8aQXxLPkshn4vQFaq/s1oXm4h67GQbqbtGX3Gw3o9DLZJYlBoZlCWl4c0imwGkqSRHaihexECxfMzggfVxSVpl5XTHbaI+12ajoHcXgD7GnsY09jX0xfiRZDsCRKXCRLbWY8ybYTs7wKBAKBYGojhKXgrORIu537/7aPHfW9pMebOGdmKokWA5IkYTboCAQUXnxsJwOdLkxWPZd+eS4F5eOrTxmNqqrc/7d9VHcMkhFv4hc3LhaxSoJhVG1v5/3MO1i1o4OSpRnHv+AMExKMYetitBtqVPIbZ78XRRm7YLTEG2KEojVaMIasjJNEMI6HkEvs+7/axqqbV4zLlVVv1JFfnkJ+uea+6hzw0lTZQ+OhXpoO9TDY66HpcC9Nh3vZ8mIN5jgDeWXJYaEZn2I+pe9FliUKUq0UpFq5JKokii+gUN/toLJtMGzZrGy3U9floN/lY1tdD9vqemL6SoszMTsoNrUanFryIFHDVyAQCM5uhLAUnFW4fQH++51qntxUgy+gYjPqWHdBMXGm2H/qOp3MOdfOZMer9Vz+1fkkpltO6nX/uLWel/a0oJMl1t+8hPR4UcRcEItzwMu7z1Xila28+9xhckqTTjimbrwoiorL7h2xjIYmHLVt18A4BKMEljhD0IoYcUPVEt1ErIxTUTCOh9JlmZQ+/BtYevVJ9WNNMDJreRazlmehqip97U7Nmnmwh+YjfbgHfVRv76B6ewcASZnWcHxm3uzkE040djwMOpmSjHhKMuK5kkhJFLcvqiRKuz0cv9nY46Jr0ENXtYcPqmNLouQmWcLZaUMutSUZcSK5mUAgEJwlCGEpOGvYWtvNt/+2j9ouBwBr5mTw8LXzyEnSRKPfF8De7SY5ywZoD4QzF6ejO0nL4q6GXr7/8kEA7r+8jOVDEmgIBKqqsulPh/F5/CBJeN1+Nv1vJZffOf+k+h0qGKOtjJHSGh6cdh/qeARjvHEE62JQMAYT4FgSjCf93RGMjCRJJGfZSM6yseDCfAIBhfbagXB8ZkfdAH3tTvranezb1IwkS2QVJYSTAGUWxiOf5s/GbNBRnpNAeU5sSRSHx09Vx2BU0iAtlrNtwE1zn4vmPhfvVMaWRJkRLIkSqcEZT1GaTZREEQgEgimGEJaCs4LqDjuf+/VWADLiTTx0zVzWzssKx0sO9rp59al9DPZ6+My3l2NL0iyKJ/tg3Ovwsu65nfgCKpfPy+L284pO7o0Izkqqd3RQu7srvK8qULurk6rt7THJXkKEBONQN9SwtTFoZRyvYLTGG0fIkhprZbQkGIRgnGTodDI5pUnklCax4pqZeJw+miv7wkKzv9NFa00/rTX9fPzyUYxmHbmzI26ziRmWM5Zkx2bSsyg/iUX5STHH+50+jnTYg0mDNMFZ2Wan1+mjrttJXbeT14eURJmZbgsLzZDwLEixohMZagUCgWBSIoSl4KygJCOeG5bkYTbIfGttGYmWSCxPS1UfG3+9D5fdh8mqZ6DbHRaWJ4OiqHz9hd209LspSrPxk08tEBkSBcMIucCOxNvPHKKjbgCvOxBJftPvwTXgRR2rXgxZGJOiBWKsddGWaMISbzjtVizBmcFkNTBzcTozF6cDMNDlCorMXpoqe/A4/Bzd08XRPdpkRlyKKSwy88qSscSd+eQ6iVYDywtTYjw6VFWla9AbFpqhpEFV7YPYPX6OtA9ypH0QiJREMellSjKCpVCyQjGcceQmnTnxLBAIBIKREcJSMCVp6nXyow2H+O6V5WFX10c/tSCm1pqqquzf1Mz7/1eFoqik5sadknjKEE+8Xc2mI52YDTJP3rJEJKYQDCPGBXYE/D6F3W82jnhOksCSEOWGGrQy2pJMMYlwhGAUJKRZmLsql7mrclEUla5Ge6SsSU0/gz0eDn3QyqEPWkGC9Px48udo8ZnZxYnjruN5qpAkifR4E+nxJs4tiS2J0trv1sRmmz0oMO1UdWglUQ60DITrEYeIM+nDtTdLg0mDZmXFkR43/pIoAUVl29EeOhKKyajppqIoRVhJBQKBYAwIYSmYUvgDCn/4sI6fvn4Ely+AqsKTtywFiBGVfl+ATf97hMMfajPdpcsyuPDzczCYTs0D1HtHOnn8rSMA/OC6+ZRlJRznCsF0pPlIb4wL7GjMW51LWl5csNSGFtdoiTeKovSCcSPLEhkzEsiYkcDStYX4PAFaqiJusz0tDjob7HQ22Nn5WgN6g+ZmG4rPTM21TbjlT5IkcpIs5CRZuDCqJEpAUWnscUZlpx2kKlgSZdDjZ1dDH7sa+mL6SrYaooRmcJ0ZR5J1ZKvtxv2tPPTPg7T2uyFvDfxmK9mJZh68upy187JHvEYgEAgEGkJYjpP169ezfv16vF7vRA9l2rG/uZ/7/raX/c3aTHVFYQrfuHTkunHbN9Rx+MNWJAlWfrKERZfkn7KHpZY+F197fheqCjdW5POppXmnpF/B2YOjz8PO1+vZ/17zMdtJMhQtTD9m/UOB4GQwmHTMmJfKjHlaOSVHv4emoNts46EenANeGg720HBQKxliSTCSH1XW5FSEDZwqdLJEYZqNwjQblwZrE4NWEqWuyxF0px0MWjnt1HU76HX62Ha0h21HY0uiZMSbopIFaZlq67qd3PvCboZ6obf1u7nr2Z08ecsSIS4FAoHgGAhhOU7WrVvHunXraGpqIj8/f6KHMy1wev08/mYVv3v/KAFFJcGs59tXzOEzy/JHtegsuWwGrdX9LLu8MFwn7lTg9Sv8y3M76XX6mJebwINXzz1lfQumPvYeN7teq+fgB60E/AoA6QVx9LY58XuVYe2NZr0QlYIzii3RxOxzspl9TjaqqtLT4gjHZ7ZU9eIa8HJkWztHtmmJdJKzbeTP0YRmTmkSRvPke2ww6GRKgy6w0bh9AWo6B4Oxm4PhWM6mXhcddg8ddg+bq47vUaACEvDQPw9ySXmWcIsVCASCUZh8dwiBYAhPv3+UX79XC8BVC7J54OpyMuJji4OrqkrDgR4K5qYgSRJGs57r7l18yl26frThELsb+0gw63ny5qWi/poA0JKn7HytnkMftqIENHtHdkkiy68sIq8smeodHbz+2wPDrlt90+wzVstSIBiKJEmk5saRmhvHojUFBHwKbbX9NBzqoelQDx0NdnpbHfS2Otj7dhOyTiJrZmJQaKaSPiN+Urtrmw065uYkMjcnMeb4oMdPVbAMSihp0L6mfvpcvlH7UoHWfjcb97dy5YKc0zxygUAgmJoIYSmY9Nx+3kw+qO7mjvOLuKhseGkGvy/Apj9VcnhLGyuvL2bJpTMATrmofGlPC3/4sA6An312Efkp1lPav2Dq0d/pYsfGOiq3tKEEy37kzkpi2ZVF5M5KCv8bLFmaQfX2do7u7UJVIi6wI5UaEQgmCp1BJnd2Mrmzk+G6YtyDPpoqe8PxmfZuNy1VfbRU9fHRS0cxWfXkzU4Ox2eeqsRop5s4k57FBcksLkgOH/vH7ma+9vzu41677k+7+PHGw1QUplJRlExFUSqFqdYJj0sVCASCyYAQloJJhaqq/HlHExv2tfK7W5ejkyUsRh3/+5VzRmxv73Gz8Vf76Ki3I0mcttnz6g479/11LwD/ckExF88RgmA609fu1ATlR+3hOpJ5Zcksv7KQnNLkYe0lSWL1TWU0VW7F6/RhNBuEC6xg0mOOM1CyNIOSpRmoqkp/pyscn9lU2YvH6admVyc1uzoBSEgzh2Mzc2cnY7ZNnUzZQ71gRkMCGntcNPY08dedTQCkx5uoKEyhokgrp1KWNbktuQKBQHC6EMJSMGmo7RzkOy/uZ0ttNwB/39XMDcdIjNN8pJfXfrMfl92H2Wbg0jvmkl926uIpQzg8fr767E6c3gArZ6Zy7yWzTvlrCKYGvW0Otr9aR9W29nCdyYK5KSy7oojs4sRjXmtNMHLBzbN5/1fbWHXzCuECK5hSSJJEUoaVpAwr81bnoQQUOuojZU3aawcY6HJzYHMLBza3IEmQPiMhHJ+ZNTMRnX7ylsWpKEohO9FMW797WPIe0ARlVqKZjV8/nz2NfVpCoLoedjf20Wn38Mq+Vl7Zp2UhTzDrtZqdRZrYnJeTiHESv3eBQCA4VQhhKZhwvH6FX79Xwy/ersbrVzAbZO5ZM4trFo0cx6KqKnvfaeKDv1SjKipp+XFcfud8EtJOvRuWqqrc/7d9VHcMkhFv4hc3LkYvagZOO7pbBtnxaj1V29sJPXXOmJ/K8iuKyCwae6mZ0mWZlD78G1h69WkaqUBwZpB1MlkzE8maqcUSe91+Wo5Eypr0tjnpqBugo26AHa/WozfpyC1NIn9OCnlzkknJnviyJtHoZIkHry7nrmd3IkGMuAyN8sGry0m0GDh/Vjrnz0oHtARBe5v6+biuh4+O9rCjrocBt5+3Dnfw1uEOAMwGmSUFyVQUpVBRmMLigmQsRhGfLxAIzj6EsBRMKDvqe/n23/ZR2W4HYFVpGj+8bj4FqaPHL/a1O/kwKCpnVWRywS1lGE7TTfrZrfW8tKcFnSyx/uYlpMdPntT7gtNPV9Mg2zfUUbOrI/ykWbQwjWVXFJIxQ9QuFQhCGM16ChekUbggDYDBXnc422zT4R5cdh/1+7up3695pNgSjUGRqbnOTgYL/tp52Tx5y5JIHcsgWceoY2k26DTBWJTCugu1WsuHWu18dLSbj+u0Mie9Th8f1nTzYY323vWyxPy8RCqKUlhRlMLSGSkkWqaO27BAIBCMxoQLy/Xr1/Poo4/S1tbGwoULeeKJJ6ioqDjudc8//zw33ngj1157LX//+9/Dx7/4xS/yzDPPxLS97LLL2LhxY3i/p6eHf/3Xf+Wf//wnsixzww038POf/5y4uLhT9r4Ex0dVVb7/8kEq2+2k2Iw8cFU51y7KOe4sdnKWjVWfLcXvU1h48amrTzmU3Y19PPzyQQDuv7yM5YWn3s1WMDnpbLCzfUMdtbs7w8eKF6ez9IpC0vPjj3GlQCAAiEs2M+fcHOacm4OqqHQ1D9IYzDbbUt2Po9/L4a1tHN7aBkBqblzYbTa7NOm0TRYej7XzsrmkPIttR3voePAHZDz0XSqKUsZcYkSvk5mfl8j8vES+vGomqqpS3THItqDI3Ha0h9Z+N7sa+tjV0MevNtUiSVCWlUBFoZYMaHlR8phjPgUCgWAyMaHC8oUXXuDee+/lqaeeYsWKFTz++ONcdtllVFZWkpGRMep1dXV1fPOb32TVqlUjnl+7di2///3vw/smU6yV6eabb6a1tZU33ngDn8/Hbbfdxle+8hX+9Kc/nZo3JjgmAUVFJ0tIksSPPjmf339wlG9fMYdk2+gz1s2VvZjjDKTmauJ/3urRYy9PBb0OL+ue24kvoLJ2bha3n1d0Wl9PMDnoqB/g41fqqNsbrG0naRldl11eGP63JxAIxockS6Tnx5OeH8+SS2fg9wVore4Pu812NQ7S3awtu99sRKeXySpODAvN9Px4pDOYDEcnS6wsToWBGihOPam+JEkK19i8ecUMVFWlqdfFtqM9YYtmbZeDQ60DHGod4Jkt9QAUpdmoCMZprihKIS/ZMqlchwUCgWAkJlRYPvbYY9xxxx3cdtttADz11FO88sorPP3009x3330jXhMIBLj55pt56KGH2Lx5M319fcPamEwmsrKyRrz+0KFDbNy4kY8//phly5YB8MQTT3DFFVfwX//1X+TkiPpUp4u2fjcPvrSfkow4/u2yMgDKcxJ49NMLR71GVVX2vt3EB3+tJj7VzKfvW3baMw0qisrXX9hNc5+LwlQrP/n0AnFDP8tpq+1n+4a6sJueJEHJskyWXV5ISo5tgkcnEJxd6A26cPZYAJfdS9PhSFmTwV4PzZW9NFf2svXvtZhtBvKCIjN/TgrxKVPXmidJEvkpVvJTrOHkdJ12T1hkbjvaw6G2AY52OTja5eCF7Y0AZCeaWR7MPFtRlEJJepzIPCsQCCYdEyYsvV4vO3bs4P777w8fk2WZNWvWsGXLllGve/jhh8nIyOD2229n8+bNI7Z59913ycjIIDk5mYsuuogf/OAHpKZqs45btmwhKSkpLCoB1qxZgyzLfPTRR3zyk58csU+Px4PH4wnv2+32cb3f6YyiqDz3UT3/ubGSQY+fTUc6uf28maQcw0IJ4PcGePe5Sio/0lylsooS0BlOf+KcJ96uZtORTswGmSdvWUqCWcS+nK20Vvfx8YY6Gg/2AJplZVZFJkvXziA5SwhKgeBMYIk3Uro8k9LlmaiqSl+7k8ZDmtBsPtKL2+GjensH1du1ZDhJmVbyy7T6mXmzkzFaJjyq56RIjzdxxfxsrpivxXD2u3zsrO/lo6M9bDvazb7mflr73by0p4WX9rQAkGw1xAjN8uwEkVhOIBBMOBP2a9zV1UUgECAzM7YeYGZmJocPHx7xmvfff5/f/e537N69e9R+165dy/XXX09RURE1NTV8+9vf5vLLL2fLli3odDra2tqGudnq9XpSUlJoa2sbtd9HHnmEhx56aPiJ224DyyQoCr1tG1xzzUSPYhiVpmTuzz6fnVbNgrzI2c4jre+RcuOTx7xuQBfPxuSr6DRmIqkKnxjYzIK/70L6++kd73u2PB4vuAIkiR/UvcWcO489ztPKJP1Mzwaajbl8HL+CZlMBAJKqUOY8yJLBj0n6Wz/87TS+uPhczz7EZ3rKkIDk4LIACCDTbsyi0VRAk6mAdkMWfe1O+tqd7NvUjKQqZPrayPc0kO+pJ8Pbjg7l1Axmgj7XRODC4ALgkvTssmSwzZrNx9Ysdloz6XXC6wfbef1gOwC2gJclrnZWOFtZ7mxjoasDsxo442Of9Ijv6tnHZPpMXa6JHsGEM2Wm+ex2O5///Of5zW9+Q1pa2qjtPve5z4W358+fz4IFCyguLubdd9/l4osvPuHXv//++7n33nvD+83NzZSXl8Pvfw95pzfeb0xccw289NJEjyKM2xfgl29X89SmGvyKis2o41try7jlnCvQyV865rVNlVp9SvegD3OcgcvumEfe7DWnfcwtfS6+9ovNqE4fN1bk86nr/+u0v+YxmWSf6VRHVVWaK3v5+JU6Wqr6AJB1EmUrs1m6dgYJaaf/3xggPtezEfGZnjZ0QE5wWQF4XH6aKyNus/0dLtqMObQZc/g4/hwMZh25s0Jus8kkZVpPKJShanu7VnP2qysoWTp6zoczgQU4N7gA+AIK+5v7Y+I0B9ywOS6fzXH5ABh1Movyk1hepCUEWjojmTjTlHnkO32I7+rZx2T6TJuaID9/okcxoUzYr0xaWho6nY729vaY4+3t7SPGR9bU1FBXV8fVV0fqvymKNiup1+uprKykuLh42HUzZ84kLS2N6upqLr74YrKysujo6Ihp4/f76enpGTUuE7S4zegkQAMDA2N7o9OUboeXpz84il9RWTMnk4evnUtO0vEtu6qqsvO1etyDPtIL4ll75zwSUk+/RdjrV/iX53bS6/QxLzeBB6+ee9pfU3BmUFWVxkM9bH+ljtaafgBkvUT5uTksvqzgjPz7EggEpwaTRc/MRenMXKTVkRzodtEUdJttPNyDx+Gnbm9XOAFXXLKJ/HItNjOvLBlL3PHLmjgHvLz7XCVe2cq7zx0mpzRpUpRDCWHQySwuSGZxQTJ3ri5GUVQq2+3hWprbjvbQafdomWjrelj/Tg2yBHNztBInywtTWF6YTGqcKJ8lEAhOLRMmLI1GI0uXLuWtt97iuuuuAzSh+NZbb3H33XcPa19WVsa+fftijn33u9/Fbrfz85//nPxRZgiampro7u4mO1uLXVi5ciV9fX3s2LGDpUuXAvD222+jKAorVqw4he9w+uHyBsJFn3OTLHzv6rnEm/WsnZc15hljSZK45LZydrxWzznXzER/hlLO/2jDIXY39pFg1vPkzUsxG0Tx6qmOqqrU7+9m+4Y62o9qE0E6vUz5qhyWXFpAXPLUTQAiEAg0ElItlJ9nofw8raxJZ6M9bM1srelnsNfDoQ9aOfRBK0iQnh9P/hwtPjO7OBH9kN96VVXZ9KfD+Dx+kCS8bj+b/reSy++cP0Hv8PjIssSc7ATmZCfwhZWF2m9ft1NLBhS0aDb0ONnX3M++5n5+9/5RAEoy4sK1NJcXpoxp8lcgEAiOxYT6Rdx7773ceuutLFu2jIqKCh5//HEcDkc4S+wXvvAFcnNzeeSRRzCbzcybNy/m+qSkJIDw8cHBQR566CFuuOEGsrKyqKmp4Vvf+hYlJSVcdtllAMyZM4e1a9dyxx138NRTT+Hz+bj77rv53Oc+JzLCniCqqvLSnha+//JBfvG5xZxborkqf2b52NwBBrpd1OzsZPElWrybJd7IeZ8qPW3jHcpLe1r4w4d1APzss4vIT7GesdcWnHpUVaVubxcfv1JHZ4OWZEtvkJl7fi6LLy3Alihm6QWCsxFJlsiYkUDGjASWri3E5w3QUtUXrp/Z3eygs8FOZ4Odna81oDfIZJcmkV+WQn55Mqm5cVTv6KB2d1e4T1WB2l2dVG1vp3RZ5jFeffIgSRKFaTYK02zh+3BbvzsoMrv5+Ggvle12qjsGqe4Y5E8fNQCQl2yhIiohUFGaTWREFwgE42JCheVnP/tZOjs7eeCBB2hra2PRokVs3LgxnNCnoaEBWR57ljOdTsfevXt55pln6OvrIycnh0svvZTvf//7MW6szz33HHfffTcXX3wxsixzww038Itf/OKUv7/pQGOPk//4x37erdQKyT/9QV1YWI6FpsM9vPabA7gdPizxBsrOyT5dQx2R6g479/11LwD/ckExF8+ZGg8OguGoisrRPV18vOEoXY2DAOiNMvNW57H4koJJ5comEAhOPwajjhlzU5kxV8sK7+j3xJQ1cfZ7aTzYo2WF/huYbXq87pET3mz6UyW5s5Kn7O9IVqKZaxbmcM1CbQK91+Hl47pIjOb+lgGael009Tbzt13NAKTFGcOusxVFKZRlJaATJU4EgknFJz/5yXAemb/85S8TPRwkVVXViR7EVKSpqYn8/HwaGxvJm4bJe/wBhT98WMdPXz+CyxfAqJP514tKuHN1MUb98ScDVFVlz1uNfPjXalQV0gviufyr889ofTKHx8+16z+gumOQlTNT+ePtFZMrXftkCkifxKiKSs2uTrZvOEp3swMAg0nH/AvyWLQmH0v8JHsQFJ/r2Yf4TKccqqrS0+oIx2c2VfYQ8B3jcUiCnNIkrrxrwZQvbzISDo+fnQ294Vqauxr78Ppjs+vGm/Usm6ElA6ooSmF+buKY7veTCvFdPfuYRJ/pRGiDd999F7vdzjPPPDMphOXZ9+soOO3sb+7nvr/tZX+zFre2oiiFH10/n+L0uDFd7/MGeOePh6n6WEvcNPucLC64afYZi6cE7aHi2y/uo7pjkIx4E7+4cfHkEpWC46IoKtU72tm+oZ7eVk1QGs06FlyUz8KL8jHHifqjAoFgZCRJIjUnjtScOBZenE9nwwD/96Pto1+gQsuRPn5zz3vEpZhIzYkjJcdGao6NlJw4krOsZ/QedqqxmfSsKk1nVamWFMnjD7CvqT+cDGhHfS92t593Kjt5J+ihZDbILM5PZnkwTnNxQRJWo3isFAjOJBdccAHvvvvuRA8jjPgFEIyb2i4H+5sHSLQY+M4Vc/j0srwxx2EMdLl49Vf76GocRJIlzvt0CfMvGPv1p4pnt9bzj90t6GSJX960hPR4EXc3VVACClUft7P91Xr62p0AGC16Fl6Ux4KL8jHbhKAUCATjIy0/npmL0ji6twt1lDKYsl5C8asM9ngY7PFQv787fE6SICHdEhacoSUpw4puqln1AJNex7LCFJYVprDuQggoKodaB8IWzW11PfQ4vGyp7WZLrfZ30MsS83ITw8mAlhemkGgVv8cCwWi89957PProo+zYsYPW1lZefPHFcELTEOvXr+fRRx+lra2NhQsX8sQTT1BRUTExAx4DQlgKxkTXoIe0YGryqxdk09rn4voleeMWZD0tDroaB7HEa/Upc2cln47hHpPdjX08/PJBAO5bW0ZFUcoZH4Ng/AQCCkc+amfHq3X0d2pFiE1WPYvW5DP/wnxMZ6F7mmCS8s4jIOtg9beGn9v0E1ACcOH9Z35cghNGkiRW31RGU+VWvC7/sPMmq56bvncOsk6ip8VBT8sgPS0Oulsc9LQ4cDt89He46O9wUbu7M3ydLEskZVkj1s1sTXgmpFuQp1C8oi4oGuflJvKl84pQVZWaTkdQaHaz7WgPLf1udjf2sbuxj1+9V4skwezM+HAyoIrCFDISRDZuwdmP3W6PKUs4tGRhCIfDwcKFC/nSl77E9ddfP+z8Cy+8wL333stTTz3FihUrePzxx7nsssuorKwkI2Ni6+uOhngSExyTTruH7798kA+qu3jrG6tJshqRJIk7Vw+vGToWChekceHny8ifk3JG4ylD9Dq8rHtuJ76Aytq5WXx5VdEZH4NgfAT8CpVb29ixsY6BLjcAZpuBRZfkM3913lkZ7ySY5Mg6eOeH2na0uNz0E+34hd+ZmHEJTgprgpELbp7N6789MOzc6ptmhxP35JQmkVOaFD6nqirOAS89rQ56moOis1UTnT53IChEHVRH9aczyCRnWYdZOONTzFMiE6skSZRkxFGSEcdNK7SM7k29znAyoI+O9lDb6eBwm53DbXb+Z0s9AIWp1nBCoBVFqeSnWKbE+xUIxkN5eXnM/oMPPsj3vve9Ye0uv/xyLr/88lH7eeyxx7jjjjvC1TKeeuopXnnlFZ5++mnuu+++UzrmU4V4Ihsn69evZ/369Xi93okeymlFVVX+vL2JH244RL/LhyzB5qourl44vpIsPm+AD/5SzZKoQvTln5iYsi6KovL1F3bT3OeiMNXKTz69QNzQJjEBn8KhLa3s2FjHYI8HAEu8gcWXzGDu+TkYzeLnSzBBhMTkOz+EvgZIaYe/3gH7/g9W3AXLvwyKAuPIai6YHJQszaB6e3vYJVaSoWhh+jFLjUiShC3RhC3RRH5ZxANGVVUGez10N2tCMyQwe1odBHwKXY2D4QzWIQxmHSnZkdjNkOC0Jhgn/f0qL9lKXrKVTy7WkpZ02j1sr4vU0jzUOkBdt5O6bif/t70JgMwEUzgZUEVhCqUZcVPKkisQjMTBgwfJzc0N749krTweXq+XHTt2cP/9Ee8XWZZZs2YNW7ZsOSXjPB2IJ7Nxsm7dOtatWxfO/HQ2Uts5yLdf3MfW2h4A5uYk8OPrFzA/L3Fc/Qx0udjw1D66mwbpbLDzqX9fOqE3xifermbTkU7MBpknb1lKglnEfkxG/L4Ahz5oZedr9Qz2aoLSmmBk8aUFzD0/F8MUTpAhOAvwOqH2XeitB4MFdv0RCoF9h7XzHz2pLZIM5iSwpoI1BSwpwXXyCMdStGOWZNBPsizG04wYl1inD6PZwOobZ59wX/EpZuJTzBTOj5ThUhSVgS7XMJfavjYnPneA9qMDtB8diOnLbDOERWZq2MIZN6ljytPjTVw+P5vL52tlxAbcPnbUa5lnPz7aw56mPtoHPPxzTwv/3NMCQJLVwLIZWjKgiqIU5uYkiMR6gilHfHw8CQkJJ9VHV1cXgUAgXIIxRGZmJocPHw7vr1mzhj179uBwOMjLy+PPf/4zK1euPKnXPhmEsBSEUVWV/363hp+/VYXXr2Ax6Lj3klnc9onCcf+wNx7q4bXf7sfj8GOJN/CJG4onVFS+d6STx986AsAPrpvPnOyT+8ILTj1+b4ADm1vY+Xo9zn7NI8CWaGTJ2hmUfyJnSmdcFExxHN1wZCNUboDqt8DvGqGRBEn54OwFrx1UBVw92tI9QvPRMMaDNTkiNocJ0JThx4w2LXuM4JQQcol9/1fbWHXzilNeu1KWJZIyrCRlWJm5KD18POBX6OtwRiybQetmf4cTt8NHS1UfLVV9sWNNNEZiN3ODgjPbNik9OhLMBi6cncGFs7XYMLcvwO7GvnBCoJ0NvfQ5fbx5qJ03D2lZ461GHUtnJIdraS7KT8JsEPcCgSDEm2++OdFDiGHy/fIIJgxJkmjoduL1K5w/K50fXjeP/BTruPpQVZXdbzSy5UWtPmXGjHjW3nlm61MOpaXPxdee34Wqwo0V+Xxq6SSoOyoI4/ME2P9eM7veaMA1oAnKuGQTS9fOoOzcbPTiIUIwEfQc1YTk4Q3Q8CExqUITC6DsSvAMwO7nQJFAVmHx5zU3Wb8XXL2aqHR2gzMoMKPXQ4+5erXX8Nq1pa9h7GPVGYMWz2iraMqQYylRx5I1a6pw1R2V0mWZlD78G1h69Rl7TZ1eDpdAicbvDdDb5oyJ3expdmDvcePs9+Ls99J4qDfmmvgUMym5oYRBk7Mkitmg45yZqZwzMxUAX0DhQMtAMBlQLx/X9dDv8rG5qovNVV0AGHUyC/IStTjNohSWzkgek/dRQFHZdrSHjoRiMmq6qShKQSdcbgWTmLS0NHQ6He3t7THH29vbycrKmqBRHR8hLKc5A24fbm8gnKnt/ivK+ERpGlcvyB63hdHnDfDO/xyiansHAGUrs1h90+wJFQZev8K/PLeTXqePebkJPHj13AkbiyAWr9vP/k2aoHQP+gCITzVrgnJl9pRM0S+YwqgqtO6Bw69ogrJ9f+z5rPlQdhXMvkLbfu9RzeX1wu/AT9+Hb5wXm9AnPlNbxoqigLtPE5hh0TkGURrwQMAL9lZtGSthV92hAvQYotSSIlx1JwC9UUd6QTzpBfExx71ufyR2s9lBT+sg3S0OnP1e7D1u7D1u6veNoSRKphXdJHA3NehkFuUnsSg/ia+cr7kMV3UMsu1od7ieZofdw/b6XrbX98K7NcgSlOckBJMBaUmBUuNi49k27m/loX8epLXfDXlr4DdbyU408+DV5aydlz1B71YgODZGo5GlS5fy1ltvhUuQKIrCW2+9xd133z2xgzsGQlhOYzbub+PBl/ZTlpXAH25bjiRJJFmNXDPOBD3R9LY7kWWJ8z5TyrzVuROebOBHGw6xu7GPBLOeJ29eKlxoJgFel5+97zax581G3A5NUCakmVl6eSGzz8maFA84gmlCwAf1H2hi8vAGGGiKnJN0MOPcoJi8HJJnRM5FZ39d/S1NWEYn9IGRS5EcC1mOuLmmjjHrtqqCzxkUm91RArR3hGNRonSYq2718V8rRIyr7mhWUeGqeyYwmvVkFSWSVRSb/8Dt8IXjN0PlULpbBvE4/COXRNFJJGVaY2I3U3JsJKRNbEkUWZaYnRXP7Kx4Pr+yEFVVaehxxtTSrO92sr95gP3NA/z+gzoAitNtwYRAyTi9Ab774n7UIX239bu569mdPHnLEiEuBRPG4OAg1dWR39+jR4+ye/duUlJSKCgo4N577+XWW29l2bJlVFRU8Pjjj+NwOMJZYicjQlhOQ9r63Tzwj/28flAzr1sMDrod3nCdyhPFYNRx+VfnM9jjiUnFPlH8c08Lf/iwDoDHPrNo3G69glOLx+lj7ztN7HmrEY9TqxOXmGFh2RWFzFqeiSwEpeBM4LFrcZKHX4Gq18DdHzlnsELJxZqYLL1UE0YjoQQiojKa0L4SOD1jH4okaaLNaNPiO8dKjKvuSAK0d/ix0+Gqe6w40olw1T1L6pOabYbRS6KE4zcjotPniZREiUZvkEnOjlg2U7JtpObGEZdsmpBJY0mSmJFqY0aqjU8v0/69tw+4tWRAwcyzh9vs1HQ6qOl08L/bRv83GhKaD750gFWl6ViNugmfCBdMP7Zv386FF14Y3r/33nsBuPXWW/nDH/7AZz/7WTo7O3nggQdoa2tj0aJFbNy4cVhCn8mEEJbTCEVRee6jev5zYyWDHj96WeLO1TP514tKT8iSF4qn9PsCLL9SqweZkGoJlxWZSKo7Brnvr3sBuOuCYtaUT94v4dmO2+Fjz1uN7H27Ea9be+BOzrKy7IpCSpZlitTygtOPvR2OvKqJydp3NdfRELZ0mLVWE5MzV2uZXo/HscTFeC2VE4HeeIpcdUexirp6I268p8JVN0aAHkeUnoyr7llcnzSmJMqcUUqiRCUM6ml14PcpdDbY6Wywx/RlMOtiYjdTcrXtiSiJkplg5uqFOeFSaH1OL9vretlW18Nbh9qp6XQc8/r2AQ9zH3wNSQKLQYfFoMNs0GEx6iL7Rh0Wg6ztG4PnQ0v0vnG06+Xwtshwe+o4G+JmL7jgAlR1qD09lrvvvntSu74ORQjLaUJbv5t/eW4HOxv6AFiUn8SPb5hPWdaJZUf1eQK8/cdDVAfjKQvnpw2L/5goHB4/dz27A4c3wMqZqXzjklkTPaRpiWvQy543G9n7bhO+oKBMybGx7IpCipdkCEEpOL10VcHhlzUX16aPIdoZLmWmJiTLroS85ZqgEBybk3XVjYkZPVYcaa+WFCnaVXc8DHXVHVGADin5EnLVHerODMPdns8yjlkSpdMVjOGMWDdDJVHaagdoqx25JMpQl9ozWRIlyWpkTXkma8ozmZuTwNee3z2m61QVnN4ATu/p9TYw6KSRhWjUvskgj0u4WoxyTBuzXnfW319F3OzkRQjLaUKS1UCv00ecSc+31s7m5hUzTnhmp7/TxatP7aW72RGOp0zLjzv+hWcAVVX59ov7qOoYJCPexC9uXCxmCM8wzgEvu99sYN+mZvwe7SadmhvH8isLmbkoHeksv+EJJghFgeYdmpis3ABdR2LP5y7VhOTsKyF9toj5OxOcKlfdYQJ0hIy7J+uqGx0zmjZbE5OLgXc2Qfl1kF8B7Qc0C7clBXRn9+OTLGtxl0mZxy+J0t0ySH+na9SSKLZEY4zQPFMlUTLix5aN/ukvLmd+biJuXwCXL4DLG1z7Arijtl3eQFQbRTs/tH3UfvS2EpzX8gVUfAE/drf/NL5zMOnlWKvpiMJUjrLIjiBkRxG2ISusUSdPiPvwxv2t3PXsThE3O0k5u38Zpzk76ntZmJeIXqfNZj1x42JS44xkJ564q2rDwW5e/+0BPE4/lgQja78yj5ySpFM36JPk2a31/GN3CzpZ4pc3LSE9/uTiRgVjx9HvYdcbDRzY1Izfp5VmSC+IZ9kVhRQtSBOCUnDq8Xvg6HtBMfkqDEalZZcNUHR+UExeAQniQWPKcKKuup7+kUu5HCu5UchVd7BNW6IJ/WQd/Lu2RJ+wJGsi05YWXNLBGrUdXqefVaVdxlISpTvkThssieLo9+IYqSRKqnmYdTM5y3rKMslXFKWQnWimrd+NCsz26rjIZeAti5cjRgUJyEo0s3pW+ml1oVRVFW9AwR0Uo65RxOeI++FtZYiwjdoO7nv8kZJIHr+Cx6/Qh++0vS855D48RHyOLkzlY7gaj2yVNevlGONAQFF56J8Hh4lK0HxSJOChfx7kkvKsKecWe7YghOU4Wb9+PevXr8fr9R6/8RlgJB9zu9vHjzYc4v+2N/HdK+fw5VUzAZiXm3ic3o7N7jcb+PCvWn3KzKIE1n5lPnHJk0e47W7s4+GXDwJw39oyKopGSbwhOKU4+jzsfK2eA++3EAgKyowZ8Sy/qogZ81JFQgTBqcXVB1VvaGKy+k3wDkbOmRKg9BJNTJasAfPJ/eYJphCyrIk9S/JJuOoGxebe/9MSO4WeVJNmaImdHJ3aedSIm25X5fFfR9JpllBbOthSo0ToEGFqS9famROnnEV91JIoLn84ZrOnWbNu9rQ4cA54sXe7sXe7qRtSEiUxwxqbMCgnjsRMy7gzhutkiQevLueuZ3diU+BSpwETcJnTSLPejVOGB68uP+0CRJIkTHodJr2ORE6fW7CiqLj9Q0WrMorF9djC1u2LssgOae8LaLJOUcHhDeA4ze7DRp2M2aBZYEGLix0NFWjt1xI6rSxOPa3jEoyMEJbjZN26daxbt46mpiby88fh2nMaGMnHPMliwK+oDHr8SBJ02Ef/Ao4Xk9WAqsKcT2Sz+nOz0Rkmzwxsr8PLuud24guorJ2bxZdXFU30kM567D1udr1Wz8EPWgkEZ0ozixJYflURBeUpQlAKTh39TZpF8vDLUPc+KFFuZPHZmkWy7EooXCXqLArGzkiuupt+oonKofVJQzGWSkCzeDo6g0tXcOkEZ9fwY+4+UAPg6NCWsSAbYkXoaNbQkFidxOVcjBY9WTMTyZo5pCTKoE+ru9nsCNfiDJVE6Wt30tfupHZXbEmU5CxrJGFQjo3UXBsJqZZjesOsnZfNf9+8mHefPoQRkJAwonKlz8xFt59d8XiyLGE16rEaT++jvS+ghAXnUCvsWIVryAo7qquxL0Aop403oOANKAyMw324w+4+Te9ecDyEsJyijOZj3ufS3B6yE8388qbFLJ1xclY7VVHDP9pzzs0mMd1CdknipBINiqLy9Rd209znojDVyk8+vWBSje9sY6DLxc7X6jn0YStKcOYyuySR5VcWkVeWLP72gpNHVaHjoJZ45/DL0Lo79nz6HCgLisnsxWeNm6FgghlrfdKQlZE5x+8z4NOsnGMRoY4uLT5U8YG9RVvGgt4yBpfctMjxsWQ+Ps2Y4wzklCaTU5ocPja0JErIuhkqidLd7KC72QFEBHqoJEpqjo3kHM26mZJjiymJUuLRUeuK3JdkJGa4oNgtfjdOBINOxqCTiTefPuurqqp4/Mowobq9rocHXzp43OvHGl8rOPUIYTkFOZaPeTSL8pOP0+LY1B/oZuvfa7jm/y3CEq9ZASZDfcqhPPF2NZuOdGI2yDx5y1ISTuOP3XSmv9PFjo11VG5pQwlmIsidlcTyK4vImZUkBKXg5FAC0LBVKwlS+Qr01kWdlKDgnIhlcqyujgLBeDgd9Ul1BojP0pax4HNHic7uiGXU2TVchDo6we/Slv5GbRkLxvghLrmjidCgVfQMeQEcqySKvcc9LGFQb5tz1JIoRrOOlBwbCWkWaqIsn9Fs+lMlubOSsSYIL4fJhiRp2XPNBh1JUcfLshJ4alNtOG522HVocbMTHQp14YUXYjAYwl6O0wkhLKcg2472aO6vx+BkfMxVVWXna/Vs/UctqLDj1XrO+0zpiQ73tPLekU4ef0vL/viD6+YzJ/vEyqcIRqev3akJyo/aUYOCMq8smeVXFsbMNgsE48brhNp3NDF5ZGMwfi2IzgTFF2mWyVmXQ1z66P0IBKeCyVCf1GCGxDxtGQtexzFEaGfs2tmlJSoKZc6Nmbw5BubE2BjQ0HbIShqOF03XMuue4vI9kiSFa2SPWBIlZN1sjZRE8Y5SEiUaj8vPhqf2subWchLSzMgig/ykRydL/HHmW7y0t50nAtfHiEsJ+Ffd37hmZiY6+eKJGiIA77zzDnl5Y/wOn2UIYTkFGavv+In4mHvdft7+n8PU7NRcTco/kc3KT05O60BLn4uvPb8LVYUbK/L51NLp+SU+XfS2Odj+ah1V29rDsQ4Fc1NYdkUR2cUiKYrgBHF0ayLy8CtQ87ZmbQlhToLZl2tWyeKLtNgxgUAwOqEY0eTC47dVVa1G6FhcckPiVA2Au19buqvHMCBJE5cjWkOjXXWDx04iY25MSZTFQ0qitDupP9DNlr/VHOPvAe21Azz34FZknURiuoXkLBtJWVaSs6wkZ2rbJot4VJ5MlGQlce+h9cSZ9fzIcU34+P22l/hK4C+Q9Z0JHJ1AfFumIGP1HR+vj3lfh5NXn9pHT4sDWSdx/udmMXdV7okM8bTj9Sus+9NOep0+5uYk8ODVcyd6SGcN3S2D7NhQR9WOjnBN+cL5qSy7oojMImERFpwAPUe12pKHX4GGLVq9wRCJBZqQLLsSClae9fUBBYIJQ5I066M5cWzu5IqiJR8KC86RrKFdEXHq7AHUYH3R7uP1HhyTbngyotFEqC1Ny/x8nLALnV4mNVeLtWzftp2jTQmojGRFVTEaAiiSEb9XobfNSW+bc1gra4KR5CwrSVk2kjOtmvDMtBKfYhZltCaCoPfAV975IWtXZLPrr/0sviGRgj3Pj+zKLjijiDv4FGRobaahnIiPedvRfl5+Yg8epx9rgpG1d86f1FapH204xK6GPhLMep68eSnmU1T3ajrT1TTI9g1HqdkZiUcpWpjGsisKyZghBKVgHKiqlnDncFBMdhyIPZ81H8qu0sRk5rxJm9FSIJjWyLJmfbSmQPqs47cP+GMz5h7LJdfRqVlB1YBWfza6Bu2x0BlHd8mNEaKpSLZ0Vv+/q2n6zrt4fQoQbRlVMBkUbvrhBVjiDAz2eehtc9Db5qSvzUlvu5O+NgeOfi/OAW1pPtIXMxS9QSYxU7NuJmVGWTkzrRhM43gmUdXgomh/D1XRFiVqO3oZ7fiwc6FtdZTjijZ5MOLxqGvHMqYRX1s9jWNSIKWYgj0/o6AY2IMQlZMEISynING1mSQY5mMO46/NlJxpxWwzkJxlZe1X5mNLmjz1KYfyzz0t/OHDOgAe+8wiClKtEzugKU5ng53tG+qo3R0RlMWL01l6RSHp+fHHuFIgiCLg00qBHH5FKw0y0BQ5J+mg8BMw+0otZjKpYOLGKRAITg86vRYLPdZ4aL83KmNu55DsuUNEqKNLq1kb8MJAs7aMAavBygVpl/B66xeHnJFZXfIO1pd/B6pCvBIgXlUoCImYJAUSFbw+Hb2uZPpcKfS6U+hzp9LrSaPPk4rfp6e7aZDupsFhrxun7ybZ0E6SoZVkQwvJ+haSdc1Y5R4khgimaA8OwfiR0O4xQlROCoSwnKKsnZfNk7csidSxDJKVaObBq8dWm8nvDaAzyFrxXquBa+9ZjDXeOKnqUw6lumOQ+/66F4C7LihmTXnmBI9o6tJeN8D2DXXU7e3SDkhQsjSDZZcXkpobN7GDE0wNPHaoflOzTFa9plkgQhhsUHKxZpUsvVSzepyFDHR14JJULF0dJKRlTPRwBIKpg94ICdnaMhZ8rqjY0ChBOixmNJQx1w0+JyXqP6g2zeaopwIVHRIBikzbKO39JfQe+yWNQGZwQQIs2qKoMgOBDPr8ufQGcunz59Hrz6XXn4tbTWTQn8qgP5VGV3lMfwbJSbKumSR9M8n6ZpL1TSTpmknSt6KTjlenUQJJ1hZZF9mWdJrXx/HODTsua+dGPC5rFusRjw95vVHPDT0uD1/GO9boc0de08pRqRIQ0MoFCXE54QhhOYVZOy+bS8qz2Ha0h44Hf0DGQ9+loihlTJbKvnYnG57ax/zVucy/QEt6E58yuev+ODx+7np2Bw5vgJUzU/nGJWNwzREMo622n49fqaPhgBYDI0lQujyTpZcXkpItkqUIjoO9XYuXrNwAte9qFoQQtnQt+c7sK2Hm6klRL+90MtDVwdNfv5OAWUX39Tv50uO/EuJSIDhdGCyQlK8tx0NVwxlzJWc3qzf/nqb3XHhVG0bJxerFVTD/56OIH+m4okiWZJJkHUmSTOEQ8eN2S/R2q/R2K/R1BejtCtDb5Weg149PsdLhL6XDH5tpX5IgPtVIcoaF5EyLFsuZaSU524Y53oQUEmwCjU0/0UTlhd/R6s1+47zYWrOCCUMIy3Gyfv161q9fj9frPX7jM4BOlrSSIgM1MMbSInX7unjj6YN4XX52vl7PnHOz0Rsnd4yiqqp8+8V9VHUMkhFv4hc3LkYvUoOPi9bqPj5+5SiNh7QpWkmWmFWRybLLC0nKFO7EgmPQVaXdxA+/Ak3biXHATykOJt+5CvKWnfJSA5MZ18AAAZ8PgIDPh2tgQAjLswRhiZ7iSBKY4rRl35+xVj7LBecu4v33slh1fjvWmhehqPy0iBAzkF0MQ+2wAb9Cf6crGMMZjOdsd9Lb6sDrDjDQ5WWgy0v9wf6Y60w2PcmZtthYzizb9C2RsuknmogMxVT+9P3I5yjE5YQjhOU4CRU7bWpqIj9/DLNmkwhVVdnxaj0f/VOrT5k1M5G1d86b9KIS4Nmt9fxjdws6WeKXNy0hPX7yxoBONpqP9PLxK3U0V2qCUpYlZp+TxZK1M0jKEIJSMAKKAs07ImKyuyr2fO7SiJhMmzXtZtIHujpwDQzQ0xxbkD60b0lIEGJkCiMs0WcRUSKkdPUdlP75Gvj8S7Cp94yLEJ1eJiXbFvQMisShqqqKc8AblTQoIjztPW48Dj9ttf201cYKzpgSKaEkQsGMtSar4Yy8pwlBCYycqCe0rwTO/JgEYYSwnCZ43X7eeuYQtbu0BC1zz89l1WdK0ekn/2zX7sY+Hn75IAD3rS0bV7bb6YqqqjRV9rL9lTpaqvoA7SZUdm42Sy+bQULa2e2iKDgB/B44+p4mJitfjc3SKBug6HxNTM6+YuwxUWchYdERtFRGs+GXP9U2JInsktkYzGZkWUbW6ZBkGUmSkWVZ2446HjmmC7bXtqPPycH92GMykk4X22fMdbrjvJ62PbxvXbj90LbDX08OvzfpLJlgEJbos4gpIEIkScKWaMKWaCJ3dnLMOZ83QH+HM2LdbHPS2+agr9153BIp0dbNs6pEyoX3j35OWConHCEspwEBv8LfHt1Bd7MDWS+x+nOzKT8vZ6KHNSZ6HV7WPbcTX0Bl7dwsvryqaKKHNKlRVZXGQz1sf6WO1hptdlPWS5R/Iocll82Y9HG0gjOMqxeq3tCsktVvalkXQ5gStKQ7ZVdAySVgFiVn+jva2f36KyOKyhhUldaqw2dmUJOIYcJ0FCE6kkgeSfgOF8eR7dFE8jAxHTqmG02gR9q7nQ4CHg+O/r6Y91W/bzfOgX4SMzJJzs49awT0tGCKixCDUUdaXjxpebEZ2lVFZbDPE2Pd1EqlxJZICU0sh9AZZJIyoqybJ1oiRSAYBSEspwE6vcysFVnseauRy++cT9bMyVufMhpFUfn6C7tp7nNRmGrlJ59eIG7oo6CqKvX7u9m+oY72owOA9rmXr8phyaUziEsWrsOCIP1NWhbXyle08iBKVCbC+BxNSM6+AgpXaVkbpzGqotB+tIaa7Vup2f4RnQ11ozeWJC1hCCDrdFzwhS9jssWhKgqKEkBVlOC2ghoIaOvQfng7MORYACUQ2o89pwSG9KlGjsf2Gekn3Oeorzd8fDHnj1MWQVUUAooCHC+75dRi85/+EN6WdTrMcfGYbHGYrTZMcXGYrDbMtjhMNpu2HReHyRoXPhZ9TtaJh3fBySPJEvEpZuJTzOSXx3pxeV1++jqirJshF9sOJwGfQnfzIN3NI5RISTYFBadNSx4UFJ22JKN49hKMGSEszwKqtrfzfuYdrNrRQclSzV1HVVTcTh+WOO3BcPElBZSfm4M5bur43T/xdjWbjnRi0sv8981LSTBPnbGfKVRVpW5vFx+/Ukdngx3QijbPPT+XxZcWYEsUgnLao6rQcVCzSh5+BVp3x55PnxOMl7wCshdrKeanMX6vl8YDe6nZ8RE12z9isLcnfE6SZHLnlJNbNpfMmSX43e6I+6uqcsXd3yAlN/+sjbFUVTVGrIa2h4ncYwnXsGgdIpTHJXJDQnnouaF9jiLCowR2qD+X3U7TwX3H/RsogQDO/j6cQ6yaY8VosQRFpw2TLU4TqKFtq23E4yFhajCZxQO+4LgYLXoyZiSQMSPWy0RRVOzdrhjrZm+75mLrsvsY7PUw2OsJJ/gLYTDpYuI3k4KJhBIzLOgNYqJEEIsQllMc54CXd5+rxCtbefe5w+SUJqE3yrz1h0P0tjv51L8vxWjWI0nSlBKVm6s6efytIwD84Lp5lOdMLze8kSYLolEVldo9nWzfUEdXozbzqDfKzF+dx6JLCrAmTG9L07Qn4IfGj4Ji8mXoq486KUHBOZF4ydTiCRvmZMFlH6B258fU7PiIuj278Lld4XMGs4WihUsoXraCosXLsMRHfovaa6tj+knJzSdzZskZG/eZRpIkzbVVpwOmzv1kLAyNnVXRyhaG1gA6g4HPPPAjDCYzbscgHocDj9OBe3AQj3MwfCzmXHA79G/K63Lhdbmwd3eOe4yyTofJaouygsZFLKdhEWobYk2NHNPpxSPfdEaWJRLTrSSmWymcH3vOPeijtz0SvxmK6ezvdOHzBOiot9NRb4+5RiuRYo6J4UzO0kSnOc5wRiZBjvesJDjziF+ZKYyqqmz602F8Hj9IEl63nzd/f4DBXg+9bU5kvUT70QHy50ytZDctfS6+9vxuVBU+tzyfTy+bWtl3T5aRJgtCQlFVVGp2dbJ9w1G6mx2ANps4/8I8Fl2cjyVeCMppi9cJte9oYrLyVXBFLG3ozTDzQk1MzloLcemj9zNN6G1roWa7ZpVsPnwwxs0zLjmF4mUrKF52Dvnl89EbR/5eWRIS0BkMBHw+dAYDloTpNQF2NpGQlsGXHv8VbV1NvLHz77j/sRPQRGX6p1Zz4aIrSUxOO2FLdMDvx+N04AmJz+htxyAex+CIgjR0TgkEUAIBXPYBXPaBExqD3mTSBGnYXTdaoNrC50xxIbEasZYazRakKe7NIErIjI45zkB2XCLZxbGhUuESKe2xbrW9bU68Lj8DXW4GutzU7++Ouc5k1ce41YZKpSSkW9CdohIpx3pWEkwckqqq6vGbCYYSKjfS2NhIXl7ehIyhans7r//2wIjnbEkmLr9zPplFU+tBx+tX+Oyvt7CroY+5OQn89a5zMU8jVwtVVdn4q30c3duFqmj1losWpnPZHfOo3tHO9g319LZqgtJo1rHgonwWXpQ/pazR055rroGXXjo1fTm64chGTUzWvA3+iKUNS7ImIsuuhOKLwGg7Na85RVEVhdbqSmq2f0T19o+GlQpJLyikePk5FC9dQebMkjHPtg90deC6/XYsv/udeFidQqiqSoezg0M9hzjUfYiDPQc51H2Idmc7Kf1Grvkgkvn4pU+00pPoJdmUTKYtkyxrlra2ZWlLcD/TmolRd+ofbFVVxe/x4HYOsYg6BnEH1x7nIO5BB57oNkFrqtc1PGvoeJEkGZPVOkJMadwQkTryudEmZ84U0RZpncEgSsicJOESKSHr5pASKYyiLGRZIjHDEsxYa4vKXDu+EimjPStdfuf84198Gglpg5KSEgwGQ7hE4XRCWCynKKGZmpGQZLjqXxeQlhs/4vnJzI82HGJXQx8JZj1P3rx0WolKgOodHdTu7grvqwrU7urkmfs/wNnvBbSZwAUX5bPgwjzMNiEopx09R4NWyQ3QsEX7RxIiqUCrLTn7CihYCbrp/RPv87hp2L+H6o8/onbntpi4OFmnI2/OPIqXnUPx0goSMzJP6DUS0jJIUCUQD6mTFlVVaR5sHiYie9w9I7b3GAP4ZQW9IuOXFTxGrSRFr6eXXk8vh3tGz/ibak6NCE5bFpnWWAGabk1HL4/veylJEgazGYPZTHxK2riuBVCUAB6nM0qMDka58A4RqI5BzZoaPOd2DBLw+VBVBXfw2hNBbzCG3XVjrKO24UmOhp4zWi3I8sk9C4gSMqeWmBIps2JLpPi9Afo6XDFutSOVSDm6pyvmOkuCMSppUMStNi7FjDykRMpoz0pV29spXXZiv+WnknfeeWfCjE7jpaGhgfr6epxOJ+np6cydOxeT6cTzc0zvp44pSowL7Ch8/HLdhM/cjJd/7mnhDx/WAfDYZxZRkGqd2AGdYY41WeDs92K06li8ZgbzL8zDZBFf3WmDqmoJdw6/omVz7RjipZC1QBOTZVdA5jwt8GUa4+zvo2bnNmq2b6N+7y78Xk/4nNFipWjxMi1ectFSzLa4CRyp4HSgqAr1A/Uc6j4UIyTtXvuwtrIkMzNxJuWp5cxJmUNZShk/+fgnVPZW8uLqFkxeHR5jAJdVpSy5jO+f+306XB20Odoii1Nbtzva8Speut3ddLu7OdA9sjeRLMmkmdM00RmyelqzIvvWLNIsaehOUkjFvKaswxIXjyXuxCab/V7v8WNJg+diRarm8ouq4vd58fd5cfT1Hv8FhyJJmCzWSBzpCDGl0dbRaJHqc7nwetz0NjfFdBnyWDhbE21NJHqjjrS8ONLyYn9fRyqREhKejj4PrgEvrmOUSAlZN22JRj78W82Ir73pT5XkzkoWLrHHoa6ujieffJLnn3+epqYmop1XjUYjq1at4itf+Qo33HAD8jhd4MXT6ThZv34969evx+v1TtgYelocMTM1QwnN3HS3DJKaMzUenKo7Brnvr3sBuOuCYtaUT/yM05nkuJMFEuSUJLHsisIzOi7BBBHwaaVAQpbJgebIOUkHhZ8IWiYv16yU0xhVVelpbgpncW2pOhwu+wEQn5ZOyTLNxTWvfC46vbDyny34FT+1/bUxIvJwz2Gc/uGun3pZT2lSaVhEzkmdQ2lyKRa9Jdzmg+YPONRzCACHBRwWzVKJCod7DtPt7ub8vPNHHIuqqvR6emNEZ7uzPWa73dmOX/HT4eqgw9UBo9zG9ZKedGt6jJvtUAGaYk5Bls5MzKPeaERvNGJLSj5+4yGoioLX7RpzLOlQy6nf4wFV1SyrTgd0dpyS9xTK5izJMosuvYL4tAxMFitGiwWj1YrRYtXErNWGMXhclIo5OY5ZIsXtj0ka1NsWFJ7HKZEyFK/bz6b/rZxyhpUzyf/7f/+PZ555hssuu4wf/OAHVFRUkJOTg8Vioaenh/3797N582YeeOABHnroIX7/+9+zfPnyMfcvhOU4CflLh/yoJ4KUHBszF6WFfcuHEvI1nyqi0uHxc9ezO3B4A6ycmco3Lpk10UM64xxvsgAV6vZ2T6nJAkGQdx4BWTdyMe5NPwEloBXx9tih+k1NTB55HTz9kXYGG5RcrInJ0kvAOrUScp1qFCVAS+Uhqrd/RO2Oj+htbYk5nzmzhOKlKyhetoL0GUWiRMNZgDfgpaqvShORQSF5pPcInoBnWFuzzsyslFnMSZkTFpIlSSUYdKNPKqiqyhO7nkBCQh0hQExC4oldT3Buzrkj/nuSJIkUcwop5hTKU8tHfA1FVeh2dccIzhirp7OdTmcnftVPq6OVVkfrqOM1yAYyrBkxbrZDXW+TTEkT/m9fkmXNimi1kZA+fstgwO8LCs8owRly5XUMSYAUYzl14Bq0x0wyjYSqKOza+PKYxqI3mYLiMyg8rbHrkAA1WW0YrdaIUA21sWpJkER23uEYzccvkdLX7qS1pp/aXaNnVJ6KhpUzjc1mo7a2ltTU1GHnMjIyuOiii7jooot48MEH2bhxI42NjUJYnu1IksTqm8poqtyK1zXcwmU061l94+wJGNn4UVWVb7+4j6qOQTLiTfzixsXoT1HGsKlEeLJgT9eI98GpNlkgiELWwTs/1LajxeWmn2jHZ10Oz34Kjm6CQJQnhC1ds0iWXQVFq8FgPrPjnmR43S7q9+zSLJM7P8YdlRlTp9eTP2+hJiaXVhCfOv44NMHkwelzcqT3CAe7D3KoR7NCVvdW41eH3+9sBhtlKWUxIrIwsXDccYw+xUebo21EUQmgotLmaMOn+E44QY8syaRb00m3pjMvbd6IbfyKny5XV1hwtjvah1k/u1xd+BQfzYPNNA82j9gPaAI7OtlQTLxncIk3xE+4+DwWOr0Ba2IS1sSkcV/b39nO7+/5aji2EknShGZojSZ855x3IaDicTrxuiKLtu8Ku9P7PR78Hs+JufNGoTeaggJ0uEgdbdtksYYtqaFrp4P3RXSJFObDwotjk/YMRTwrHZ9HHnlkzG3Xrl077v6FsJyiWBOMXHDz7BGzwq6+afaU8S9/dms9/9jdgk6W+OVNS0iPP/GA4amMJEnMvzBvVKvlVJosEAwhJCZD4tLkhP+5Fmrf1faPvBppm1IMc66C2VdC3jJNlE5jBnu6qdmxjZodH9Gwf0/kAREw2+IoWrKckmUrmLFgCSbr9IrJPluwe+0c7jkcFpGHug9RN1CHMsJTY6IpkfKUcspSyyhPKWdO6hzy4/NPiUuoUWfk+auej03oc8898LOfhXdTzCmnJetrNHpZHxZ9o+EL+Oh0dQ6zeEYL0B53D+6Am/qBeuoH6kfty6K3xFg8R0o6ZDNMzYzSiemZfOnxX+EaGKCnuTHs/oqqcsXd3yAlN39MMZYBvy9Yf9QZJT5deJyOGAEaK0gdeJxRx1xOza0X8Hs9+L2emGRiJ4LeYAyKTUuM+IwVobH7IwlVvWHqCNShhhVVGUBVXEiyBUlOEM9K48TlcqGqKtbg/bO+vp4XX3yROXPmcNlll51Qn0JYTmFKlmZQvb19WLrlyZARayzsbuzj4ZcPAvDva2dTUTR93fvcgz7e+ePomQan0mSBYASW3gb1H2rici5QG3Uud5lWEqTsSkibNa2T76iqSldjfbC+5FbaaqpizidmZlGybAXFS1eQWzZXxDxNMXrdvTFZWQ/1HKLR3jhi23RLOnNS54TjIctTysmyZZ1W69owQddnglHcWicSg85ATlwOOXE5o7bxBDx0ODpi3GyHut/2e/px+V0c7T/K0f6jo/YVb4gPx3kOs3oGraHRsaqTiYS0jBGFY0puPpkzS8bUh05vwBJvwBJ/cuXblEAAj8uJ1xkRm97wfpRQdTnxBkWptu3AExKuTic+jxtAS4jU7z1pgarT6zFabRE3X2u0ULVhCgrXiHtvlEiNOqYzGM6I9TtkWHnt11vw9P8eCAA6TIm3sfqmleJZaRxce+21XH/99Xz1q1+lr6+PFStWYDAY6Orq4rHHHuOuu+4ad59CWE5hYmZunD6MZsOUmanpdXhZ99xOfAGVy+ZmcseqmRM9pAlDCSi89tv9DHS5iU81kZITR8OB7ik5WSCIQlHg6Luw4w9aNlfFF3VSgqse09xgE7JH6WB6EPD7aT58QBOTOz6iv6M95nx2yWyKl2nxkql5BZPabU+goaoqna7OYSKyzdE2YvscW06MiJyTMod0a/oZHvXZhUlnIj8hn/yE0XNBuPwuzdU2yuIZLULbHe3YfXZt6bNT3Vc9al+JpsTRrZ5B8Xm6rb3HwpKQgM5gCNextCSc+Rrfsu7ksvOGUAIBvO4oC+oIQtUTvQ5aWL1OZ5R4deFza3WPA34/roF+XAP9x3nl470/vSY0o62iQ2JMo49Fi9Kw+6/Vit5gPO7vfMnSDPaVmji6PZhgiwA5s8ziWWmc7Ny5k58FvTL+8pe/kJmZya5du/jrX//KAw88IITldCQ0c/P+r7ax6uYVU2KmRlFUvv7Cbpr7XBSmWnn00wun9cPilr/X0nS4F71R5sp/WYgl3shzD069yQJBEHsb7HoWdv4P9EW5oMXngL0FFAlkFRxd01ZUepxO6vbsoPrjrRzdvR2PwxE+pzcYKZi/UBOTS1ecUCZKwZlDVVVaHC2aiIxyZ+12d4/YfkbCjBgBOSdlDknmpDM7aAGgucEWJhZSmFg4ahuHzzFilttoF1yX30W/p59+Tz+VvSOXzALNlXik2p6hTLcZ1gwM8ulxy0xIy9DcYm+/Hcv6X03pEiOyToc5WOPzZFCUAD63O+zeGx1jOuL2EKEasqZ6XZpAVQJ+3PaBmPj3E31/oydIsqCqWuylQR+b/XnmAh3ttdWihMw4cDqdxMdrEx2vv/46119/PbIsc84551BfP7oL/bGYcGG5fv16Hn30Udra2li4cCFPPPEEFRUVx73u+eef58Ybb+Taa6/l73//OwA+n4/vfve7bNiwgdraWhITE1mzZg0//vGPycmJuIwUFhYO+4M98sgj3Hfffaf0vZ0pSpdlUvrwb2Dp1RM9lDHxy3eq2XSkE5Ne5r9vXkqCeer4959qjmxrY/cbDQBcfGs5qbnajWKqTRZMe5QAVL+lWSePbAQ1OItqSoSFn9VS1X38W7jwO/DT9+Eb542c0OcsZqCrQ4uX3P4RjQf2oQQiiVgs8QnMXFpB8bIVFM5fjME8vRMVTVYUVaFhoCGmPuSh7kMMeIc/SIZqREaLyLKUMuKMIqnGVMJmsFGcVExxUvGI51VVxe6zxwrOUHmVKGuoJ+Chx91Dj7uHg90HR+xLQiLNkjbM4hlKQJRlyyLdkn7CNT4PeGv48Zpm7vPWsBIhPGRZF87YezJoJWXcsUI02n13FKHqiXIDDu2jqiiBAO5BO+7B4bVnRx0D8Nbvfg6AzmDgS49P7cmDM0VJSQl///vf+eQnP8lrr73GPffcA0BHRwcJJ2jVn1Bh+cILL3Dvvffy1FNPsWLFCh5//HEuu+wyKisrycgY/R9EXV0d3/zmN1m1alXMcafTyc6dO/mP//gPFi5cSG9vL1/72te45ppr2L59e0zbhx9+mDvuuCO8H1LsgtPL5qpOfvbmEQB+cN08ynPOvDvKZKGzwc7bwbjKJWtnULI08m9+qk0WTFv6m2DnHzUL5UBUAe6ClbDkVii/Frb8UhORF35HE5E/fX94Qp+zUFyqqkpHXS0127dSs30bHXWxBa2Tc/LC8ZLZs2YjT/NERZMNv+LnaP/RiIjsPnjcGpHR7qyzkmdN2rg7walDkiQSjAkkGBOYlTxyqTBVVenz9A23eobiPx1ajU+foiUl6nR1sq9r34h96SQd6db0GDfboe63qZbUYQmdVFXl5zt/Tm2Cj5/v/DnnZJ8zrT2lThZFVVBUBVVVCagBFAPIBguGeCN6NRGzGog5r6oqCgqKomhrdfgSUPz43B68bid+lxuvy4UvtLjdBFweHB1ddG7ZPWw80Z9kwOfDNTAghOUYeOCBB7jpppu45557uPjii1m5ciWgWS8XL158Qn1OqLB87LHHuOOOO7jtttsAeOqpp3jllVd4+umnR7UeBgIBbr75Zh566CE2b95MX19f+FxiYiJvvPFGTPtf/vKXVFRU0NDQQEFBpJB4fHw8WVmjZ10TnHpa+lx87fndqCp8bnk+n142MXVAJwMuu5cNT+0l4FMomJvKimumb4zplCPgh6rXNOtk9ZuEc55bkmHhTbDkC5BRFmmvBCKiMprQvhLgbCHg99F4YB/VwXjJwe6oLMeSRO7sOeH6kik5eRM3UEEMp7tGpGB6I0kSyeZkks3JzEmdM2IbRVXocfeEy6tEl1oJCdAOZwcBNRAWpns694zYl17Wk2nNjLF4Or1ODnRrWfQPdB/gd/t+x5zUObHiJkrwhAWTqqCiElAC2jokklQlZnvo9SMuxAqtwFDxhXrs60cZY0i0jTTGmOuU2DFEnx86hhH7iHr9icJm1vFJOQe9ok0cKKjISOH1/2fvvuOjqtLHj3/u9ElvJCEQCB1S6AIKiCBVFLEXFERsK66urq76s+xa1roqFr7iuqDYK4KgoIiIIEgJLQkQOiG990y99/fHTSaZFCAhyaSc9+uVVzLn3nvmhCHJPPec8zyAx/bQtkfXXnst48aNIyMjgyFDhrjaL730Uq666qom9emxwNJmsxEfH8/jjz/uatNoNEyePJlt27Y1eN2zzz5LaGgoCxYsYPPmzWd9nqKiIiRJIiAgwK39pZde4rnnnqNHjx6uaF13hqK1VqsVq7X6j2xJyblP0Qtgc8gs/Gw3+WU2YiL8+NesGE8PyWOqkvWU5lvx72Jm6oJoNBpx57TNKzip7pvc8ymU1khCEjUeRtym1pusr9bkxMfrtlXpADOVltJSTuzZydH4HZzcu8u13wbUguJRg4fRZ+QYeg+/AC8/fw+OVAA1YUtyfrJrJvJg/sEWrxEpCGejkTSEmEMIMYcQE1L/+wOn7CS3IrfBWc/McrXGp0N2nLXG55t73mypb0WoQSNp1A801V9LGiRJQitp1a9Rv5Ykye0ct2s1lZ+DNCTNBntpOeVZuVy8T61ZrEHi9yG5LLz0Ecb0GS9mKxshPDy8zkTbuWxJbIjH/jrk5ubidDoJC3PP4BQWFsahQ/WXXdiyZQtLly5l79695/QcFouFRx99lJtuusltrfD999/P8OHDCQoKYuvWrTz++ONkZGTw+uuvN9jXiy++yDPPPFP3wPz5YG4Dy3127IBZszw9iga9EHYRe4Lj8HNaeXfTEky/vOrpIXnMVr+LSfMZjl62MSPpI4w3NlCsto2/pp2CJIN/HoRkgF+Noth2PeSFqx+7NbDiI+Cjc+uzA7yuRZLCUQ0c0yqkakCpcV/EW4HeTujrlIissKH/fQf8vsNzg20NbfQ1LdHJHAqwcjDAxsEAKwcDbZzwtSPXcx/L36phUKGBQYVGois/R5bq0JAP/FH50cm00de1s9ICYZUfg+s9wxu75EWuyUmml4NMs4Mss5PdIRY2RtRdwh1ZosPXoUGjgEaR1M9Ufy0BWkVCUtR8a1pFqmyjsq3uNY3ro/5ravcnIbmeU+vWb+0+Gvj6jH1Uj02jSJXPXV8f1WOTFLWvM31/Vdc3D7nyQ6WgcNPEDIprlS4u9rKzbOsLTPl3BDTbczdSjRurbdXVV199zueuWLGi0f23m9uOJSUl3Hrrrbz//vuEhISc9Xy73c7111+Poii8++67bsceeugh19eDBw/GYDBw99138+KLL2I0Guvt7/HHH3e7Li0tjejoaPjgA+jeBpZ0zZoF33/v6VHUa/W+dD78fA8Ar88fS4/oc/9P3dEk/5nBvg8PAjD5LyMIHja94ZPb8Gva4eUdg93L1dnJ8hrLOftMUvdODrgMdE1MqtQOX1dFlsk8foRju3ZwbNef5J52T34W3L0HfS8YQ58Rownv0w9Jc/4F69uVNvCaFlgK3GYhD+YdJKUkpd5zg03B6gxkZX3IQcGD6OrdVew5q60NvK5C4+iBrpUfoO6tXPfDTWjyD7ot4dRIGvyiBvD5zM/F//t2ZmvaHyT9cg/eFVocGhmdrMGhkakwOUkyO9n67mOM7TbWM4NLTYXItr3Ny9+/euWQoih89913+Pv7M3LkSADi4+MpLCxsVABak8cCy5CQELRaLVlZ7jXLsrKy6t37eOzYMU6ePMkVV1QnM5Fl9ZeETqcjOTmZPn3UrGVVQeWpU6f49ddfz5rZaPTo0TgcDk6ePMmAAfWXdjAajW5BZ3Hx+aVT7iyOZpfy2Lf7AfjLJX2YHN15awxlnypm4ydqKvaRl0XRe5io09am2C1waI26d/JkjWX2PuEw7BYYfisERnlqdK3OYbORkrhPrS+5ewdlBfmuY5JGQ/eBMa6SIAHhnbNsiqfklOdwML+yvEdlIJlRllHvuV29u7oS6lQtZxU1IoXOYmv6VtfeyppkRSYpL4mt6Vs9F4QIjaYoCm/veRsJiTKzk+8mpGO0abEanJSZnUhIvL3nbS6KuEjcMGjABx984Pr60Ucf5frrr2fJkiVotWoCPafTyb333tv+ssIaDAZGjBjBhg0bmD17NqAGihs2bOC+++6rc/7AgQNJSHDPEvbkk09SUlLCm2++SWTlHYKqoPLIkSNs3LiR4ODgs45l7969aDSaM2aiFRqvzOrgL5/EU2ZzMqZ3EH+fUn/GuM6gvNjG2iUJOB0yUXHBjLq8l6eHJFTJPqTOTu77HCoql7tKGug7BUbMg37TQNtuFnecl/LiIk7s2cXRnX9yav8e7FaL65jeZKbX0BH0GTmaXsNGnneRb+HsFEUhoyzDrbTHwfyD5Fbk1nt+T7+erj2RVRlaA02iDqjQOdUMQhSUOsdFENL+2GU7mWWZrtezzKwGlFUUFDLLMrHLdgxaUartbJYtW8aWLVtcQSWAVqvloYce4qKLLuLVVxu/bc2j75Yeeugh5s2bx8iRIxk1ahSLFi2irKzMlSV27ty5dOvWjRdffBGTyURsbKzb9VUJeara7XY71157Lbt372bNmjU4nU4yM9UkG0FBQRgMBrZt28b27duZOHEivr6+bNu2jQcffJBbbrmFwEDxB7i5KIrC//sugSPZpYT6GnnrpmHotJ1seVwlp1Pmp/cTKS2wEhDmxeTbY5BEsh7PspXDgVXq7OTpP6vb/bqrM5PDbgH/NrDEvRXkp6dxLH47x3b9SXryIZQay8V8goLpM2I0fUeOpnvMYHR6kfmzpbjViKyxpLXIWlTn3PpqRA4IGoCvQQT7glCldhBSmwhC2h+D1sAXl39BvqV6BQ0PPghvvOF6GGQKEq/nOXI4HBw6dKjOas1Dhw65VoU2lkcDyxtuuIGcnByefvppMjMzGTp0KOvWrXMl9ElJSUHTiL06aWlpfF+5H2Lo0KFuxzZu3Mgll1yC0Wjkiy++4F//+hdWq5VevXrx4IMPuu2fFM7fJ3+eYtXedLQaiXduHk6ob+cteP7H10dJP1KI3qTlsr/EYTR3jtmvNikzAeKXw/6voOoNu6SFATPUvZN9L4UOXk9Rlp1kHDlcWV9yO/npqW7Hu0T1dgWTob36iDv5Z7EtfRsvTUnlsfRtXBhx4TldU1+NyOSCZMrsZXXOFTUiBaFpRBDSMVXVLHUpNEJwtOcGVI+JEyei1+tZuHAhCxcu9PRwGjR//nwWLFjAsWPHXJlgt2/fzksvveSa5Gssj7/Dve++++pd+grw22+/nfHaDz/80O1xVFQUilL/nakqw4cP588//zzjOcL52Xu6kGfXHADg0ekDGNUryMMj8pyDW9NJ+E194z5lfjSB4d4eHlEnZC2FpBXq7GRafHV7QE+15uTQOeDXsfcI2q0WTu3fq85Mxu+gorh6Fkyj1RIZM5g+I0bRZ8Ro/LqILQHn6lyKrtucNo4WHnVLqpNckFxvjUij1siAwAFuQWTfgL7ija8gNFF7CEKEjmfjxo10bwuJPc/iP//5D+Hh4bz22mtkZKj79Lt27cojjzzC3//+9yb16fHAUuhYCspsLPx0N3anwrSYMO4c39vTQ/KYzBNF/PaZmqxn1BW96DVEJMxoVel71GAy4RuwlaptGj0MnKnunex1CXTg7KVlhQUci9/BsfjtpOzfi8Nucx0zennTa9hIdb/k0BEYvcQNj6aomRgkKS+Jjac3EmwOdgsijxQewSHXrRHppfNiYNBAV3bWQUGD6OXfS9SIFARBEFqFRqPhH//4B//4xz9cSUmbmrSnivgLJjQbWVZ48Ku9pBVWEBXsxavXDem0y+jKiqysW5KA7FDoNSSEkTOiPD2kzsFSBAlfq8tdM/dXtwf1UYPJITeDT8cM8BVFIT/tNEd3/smx+O1kHD0MNVZw+HUJdWVx7T4oFq1O/Po/H4qi8Hr8626JQR7Y+EC95/oZ/NwCyEFBg+jh1wON1HFvbAiCIAjtx/kGlFXEOwuh2byz8Si/Jedg1Gn4vzkj8DN1zkQfTofMT/9NpKzIRmC4F5NvixbJelqSokDqLnV2MmkF2CsLYWsNEH2luncyahx0wJscstNJWvIBtSTIru0UZrmXnAjr3Y8+I0fRd+QYQnpEddobPc3F7rQTnx3PltQt/HzyZzLK65b48NX7MjR0qKgRKQiCILRpWVlZPPzww2zYsIHs7Ow62wmdTmcDVzZMBJZCs9h8JIc3fjkMwPOzY4mOaJ47H+3R5q+OkHGsCINZx2V/GYxBJOtpGRUFahKe+A8h+0B1e8gAGHEbDLkRvDre/l5bRTkn9+3m2K7tHN+zC0tpieuYVqejR+wQ+owcTe8Ro/ANCvHgSDuGjNIMNqdtZkvaFrZnbKfcUd7guRpJQw+/Hiy+dLEIJAVBEIQ27bbbbiMlJYWnnnqKrl2b5waoeMfbSIsXL2bx4sXYbLazn9xJpBdW8MAXe1EUuPGCSK4bGenpIXlM0uY0kn5PAwmm3B5NQJiXp4fUsSgKpGxTg8kDq8BRWWdRZ4KYq9XlrpGjO9zsZEl+Lsfjd3B013ZOJ+7D6ajes2fy8aX3sJH0uWAMUYOHYTCL/3Pno+as5Ja0LRwrOuZ2PNgUTL/AfvyZUTcJnCi6LgiCILQXW7ZsYfPmzXUqaZwPEVg2UlXq4NTUVCIjO28AVcXmkFn42W7yy2zERPjxr1kxnh6Sx2QeL+L3L9RZ29FX9CYqTswWNZuyPNj3Gez+CHIPV7eHxaqzk3HXgTnAU6M7Z8W52VRICubcbPxCGs6+qigKOadOVNaX3EHW8SNuxwPCutJn5Gj6jhxDxIBBaLQdu0RKSzvTrKRG0jCkyxDGdRvHuG7jGBA4gDk/zhFF1wVBEIR2LTIy8qzVNBpLBJbCeXnhx4PsSSnE16Tj3TkjMOk75xvcskIra99LQHYq9BnWhREzenp6SO2fLMPJzers5KE14KxcJaD3hrhrYPht0G14u5mdLM7NZtnf7sZpUtD+7W5uX/SeW3DpdDhIPZio7peM305xTnb1xZJE134DXPUlg7pFiqDlPNicNnZn7z7jrOS4buMY130cF3a9EH+jv9u1oui6IAiC0N4tWrSIxx57jPfee4+oqKhm6VMElkKTrd6XzodbTwLw+vVD6RHcOZfgOe0ya99LoLzIRlCEN5PmDRJv+s9HSRbs/VSdnSw4Ud0eMUxNxBN3LRh9PTe+JqooLsZptwPgtNupKC7GYPbi5N54ju7azsm98VjLy1zn6/QGegweSt+RY+g9/AK8AwI9NfQOoWpWcnPaZrZnbKfCUeE6VntWcmDQwAYztoqi64IgCEJHcMMNN1BeXk6fPn3w8vJCr3dPupmfn9/AlQ0TgaXQJEezS3nsW7Wcwz0T+jAlOszDI/IMRVH4/Ytksk4UY/TSMeOeOAwm8WPVaLIMx39VZyeT10JV3T+DLwy+Xt072XWIR4fYVMW52VQUF5Ofdtqtfe3i18lPT0WRZVeb2c+fPiNG0WfEaHoOHoreaGrt4XYYZ5uVDDGHMDZibL2zkmcjiq4LgiAI7d2iRYuavU/xDlhotDKrg798Ek+ZzcmY3kE8PLW/p4fkMUmb0znwRwaSBFMXxBAQ2jlnbZusOB32VM5OFqVUt3e/QN07GXMVGLw9Nrzz5Vr+WjlTWVNeavX3O3jKZUSPn0jXfv3RaDrncvLmcK6zkuO7jWdA0ABRR1IQBEHotObNm9fsfYrAUmgURVF44rsEjmSXEupr5K2bhqHTds43Z+lHC9lcmaxnzOw+9IgJ9vCI2gmnA47+os5OHvkJlMoZO5M/DLkJhs+FsI6RBKokP6/eoLK2wZOmEta7byuMqGNpyVlJQRAEQejonE4nK1eu5ODBgwDExMQwa9YstE1MCigCS6FRPtmewsq96Wg1Eu/cPJxQ3865VK+0wMK6/yYiywp9R4QybGoPTw+p7StMgd0fw55PoCS9ur3HRersZPQs0Js9NrzmZC0vY+9PP7Drh5X1HpckyZWJTavXY/brvHVfGyu9NJ0taVvErKQgCIIgnIejR49y2WWXkZaWxoABAwB48cUXiYyM5IcffqBPnz6N7lMElsI523e6kOdWq4XoH50+gFG9Ol7x+XPhsDtZuySBimIbwd18mDRXJOtpkNMOh9eps5NHN0BVJk1zEAy9WU3G06XjLKUuKyxg94+r2Pvzj9gq1JIVPkHBDBp3CYER3fl5yZuAOvN/2X1/J6hbJGY/vzOWHunsxKykIAiCIDS/+++/nz59+vDnn38SFKS+p8/Ly+OWW27h/vvv54cffmh0nyKwFM5JQZmNez/djc0pMy0mjDvH9/b0kDxCURQ2fZZM9qkSjN5qsh69UeyJqyP/uLpvcu9nUJpV3d7rYnV2cuDloDN6bHjNrSg7i52rV5C0cT0Ou1oWJbh7D0ZdeS0DLroYrU5H1vGjbtcEdYsUy18bcLZZyaFdhlbXlRSzkoIgCILQaJs2bXILKgGCg4N56aWXGDt2bJP6FIGlcFayrPDgV3tJK6wgKtiLV68b0mln6BJ+S+PQtkwkCabdEYt/l46xdLNZOKxw6Ad1dvLEpup271AYNgeG3QrBjV9W0Zblnj7FjlXfcOiPTa7srl37DmDU7OvoM2IUkqY64DH7+aHV63Ha7WL5ay1iVlIQBEEQWpfRaKSkpKROe2lpKQZD00pmicCykRYvXszixYux2WyeHkqreWfjUX5LzsGo0/B/c0bgZ9Kf/aIOKO1wAX98fQSAC6/uS+SgzrkUuI7cI7B7uTo7WZ5X2ShBn0nq7OSAGaDtWP9n0g8fYseqrzm2a7urrefgYYy68joiY+LqvfHiFxLK7Yveo2LBAsyL3+v0y1/PNCuplbRudSXFrKQgCIIgNK/LL7+cu+66i6VLlzJq1CgAtm/fzj333MOsWbOa1KcILBtp4cKFLFy4kNTUVCIjIz09nBa3+UgOb/yiZj59fnYs0RGdc5alJN/CT++ryXr6XRDG0Mkd/7U/I7sFDn6vzk6e+qO63berOjM57BYI7Omx4bUERVE4tX8PO1Z+zekDCWqjJNFv1IWMuvI6wvv0O2sffiGh+CkSdMKgsmpWcnPqZrakbeF40XG341WzkuO7j2dM1zFiVlIQBEEQWtBbb73FvHnzuPDCC9Hr1QkAh8PBrFmzePPNN5vUpwgshQalF1bwwBd7URS4YWQk143snMGUw1aZrKfETkikDxNvHdhplwKTdUCdndz3BVgK1TZJA/2mqrOTfaeAtmP9WpFlJ0d3bGPHqm9c+yQ1Wi2Dxk/kglnXENytc/5cnAsxKykIgiAIbVNAQACrVq3i6NGjrnIjgwYNom/fpud/6FjvAIVmY3PILPxsN/llNqK7+vHMlR2jrmBjKYrCxk8PkZNSgslHrybrMXSyZD22Mkj6DuKXQ+qO6nb/SLXm5NA54N/Nc+NrIU6HnYObf2PH999SkJ4KgM5gJO7SqYy8/KpOv5S1PmJWUhAEQRDal759+55XMFmTCCyFer3w40H2pBTia9Kx5JYRmPSdLJiqtP/XVA5vz0LSSEy7Mxa/4E6UrCdjv7rUNeFrsBarbZJW3TM5Yj70mQiajvf/wm6xkPDrT+xc8x2lebkAGL29GTbtcobNmIWXnwiGahKzkoIgCILQ/lxzzTWMGjWKRx991K39lVdeYefOnXz99deN7lMElkIdq/el8+HWkwC8fv1QegR7eXZAHpJ6KJ8/vlWXPo69pi/dBwR6eEStwFoCid+qAWX6nur2wKjq2UnfcE+NrkVZSkvZ89Nqdq9djaVEDaS9AwIZMXM2gyfPwOjVOX8OarM5bcRnxbMlbUuDs5JVgeSFERfiZ+ic+7IFQRCEzmnixIno9XpXXpa26vfff+df//pXnfYZM2bw2muvNalPEVgKbo5ml/LYt/sBuGdCH6ZEh3l4RJ5RnFvBT+8nocgKA8aEM3hSd08PqeUoCqTvrpyd/BbsZWq7Rg+DLlf3TkZdDJqOOdNUWpBP/A8r2bd+LXaLOtvmHxbOBVdcQ8yES9E1MeV2R9KYWcmBQZ14D7IgCILQ6W3cuJHu3dv++8aGyoro9XqKi4ub1KcILAWXcpuDez+Np8zmZEzvIB6e2t/TQ/IIu83J2vcSsJTZ6dLDl0tuHtAx3yhXFKrLXOOXQ1ZCdXtwXzWYHHITeId4anQtrjAzg53ff0vSpl9wOhwAdOkRxQWzr2PAmHFotB1vme+5OtusZBdzF8Z2GytmJQVBEAShnYqLi+PLL7/k6aefdmv/4osviI6OblKfIrAUADVJzf9bkcDhrFJCfY28ddMwdNqOOUN1JoqisPHjQ+SeLsXsqybr0XWkZD2KAqd3qLOTSd9B1cyT1gjRV6oBZc+LoCMG0pWyTx5nx6pvOLxtC4oiAxAxIJrRs6+j17CRHfMmwjk4l1nJ8d3Hq3slAzvozRZBEARB6CSeeuoprr76ao4dO8akSZMA2LBhA59//nmT9leCCCyFSp9sT2Hl3nS0Gol3bh5OqK/J00PyiL2/nObIziw0Gonpd8XiG9RB/h3K89USIbuXQ86h6vYug9RgcvD14BXkseG1htRDSexY+TUn9uxytfUaOoJRs6+j+6BYD47MM8SspCAIgiB0XldccQUrV67khRde4JtvvsFsNjN48GB++eUXJkyY0KQ+RWApsO90Ic+tPgDAo9MHMKpXxw4wGnL6QD7bVlQm67muHxH92nmyHkWBU3+os5MHvgenVW3XmSH2ajWg7H5Bh56dVBSFE3t3sWPl16QdUv+PS5KG/mPGMmr2dYRG9fbwCFtXWmkaW1LVQHJ7ppiVFARBEITObObMmcycObPZ+hOBZSdXUGbj3k93Y3PKTI0O487xneuNdpWinAp++l8iigIDL+pK3CXtuC5jWS7s/Uydncw7Wt0eHgfD56mzk6aOXTJDlp0c3raFHau+IefUCQC0Oh3REy7lgiuuJrBrO359G0HMSgqCIAiC0JDCwkK++eYbjh8/zsMPP0xQUBC7d+8mLCyMbt0a/15JBJaNtHjxYhYvXozNZvP0UM6bLCs8+NVe0gor6BnsxavXDemUMxR2q5O1S/ZjLXcQGuXHhJv6t79/B1mGE7+piXgO/QCyXW03+EDsNersZMSwDj07CeCw2zmwaQM7v/+WwqwMAPRGE4OnzGDEzCvxDeq4yYiqiFlJQRAEQRDOZv/+/UyePBl/f39OnjzJHXfcQVBQECtWrCAlJYWPPvqo0X2KwLKRqmrSpKamEhkZ6enhnJd3Nh7lt+QcjDoN784Zgb9Z7+khtTpFUfj1o4PkpZVh9jMw4+44dPp2lKynJBP2fAK7P4LCU9XtEcPVYDL2ajD6emx4rcVWUc6+X9YR/8NKygryATD5+DJs+hUMm345Zt+OOxMnZiUFQRAEQWishx56iNtuu41XXnkFX9/q94qXXXYZN998c5P6FIFlJ7X5SA5v/HIYgOdmxxId0TnfbO75OYWj8dlotBIz7orFJ9Do6SGdneyEY7+qeyeT14LiVNuNfuoy1+HzoOtgjw6xtZQXF7Fn3Wr2rluDpawUAJ+gYEZefhVxl07DYDJ7eIQtQ8xKCoIgCIJwPnbu3Ml7771Xp71bt25kZmY2qU8RWHZC6YUVPPDFXhQFbhgZyfUj2/fMa1OdSspj28pjAIy/oT9d+wZ4dkAbXwSNFib8o+6xTa9ARYG6N3LPJ1B0uvpY5Gg1mIyZDQbvVhuuJ5Xk5bJrzXfs37AOh1VNShTYNYILZl3LoPET0ek71uz7ucxKjus2jnHdxjEmYoyYlRQEQRAE4YyMRiPFxcV12g8fPkyXLl2a1KcILDsZm0Nm4We7yS+zEd3Vj2eujPH0kDyiMLuc9UuTQIHocRHEjI/w9JDUoHLjv9Wvq4JLpwO+uwcSvwYkQFHbTQEw5CYYMQ9CB3lgsJ6Rn57Kzu+/5cDvG5GdDgBCo/owavZ19Bt9IRpNO1rGfBZiVlIQBEEQhJYya9Ysnn32Wb766isAJEkiJSWFRx99lGuuuaZJfYrAspN5ce1B9qQU4mvSseSWEZja037CZmKzOFi7JAFruYPw3n5cfEMbSdZTFUxu/DdYS6DrCXi5J9hKK09QoOc4NZgcNAv0HaTG5jnIOn6UHSu/5vCOrWoZFaB7dCyjr7yOnkOGt43X7xxsS9/GS1NSeSx9GxdGXOh2rOas5Oa0zZwoOuF2XMxKCoIgCILQXF577TWuvfZaQkNDqaioYMKECWRmZnLhhRfy73//u0l9isCyE1mzP50P/jgJwOvXD6VHsJdnB+QBiqKwYflB8tPL8PI3MP2uOLR6jaeHVW3MvXBiE2x9C7oCNkBvhgvuUJe7hvTz9AhbjaIopB5IYPvKrzm1f4+rvfeIUYyefR0R/dvPTG3xhhSK158iscefHPezk7TyDyJTHDAhkD96JYlZSUEQBEEQWpW/vz/r16/njz/+YN++fZSWljJ8+HAmT57c5D5FYNlJHM0u5dFv9gNwz4Q+TIkO8/CIPCN+7SmO78lRk/XcHYd3QBtJ1uN0wN5P4Nd/Q1l2dbtGB4+mgM7gubG1MkWWObZ7JztWfkXGkWQAJI2GgRddzAVXXkuXHlGeHWAjVQWVADNSxhDuFcCw8oHqwU0FHEuK57cuvwFiVlIQBEEQhNY1duxYxo4dC6h1Lc+HCCw7gXKbg3s/jafM5mRM7yAentrf00PyiJMJuWxfrSY9mXDTAMJ7+3t4RKjLOo/+Aj8/BTkH1TZTAFgKQZYAB/yxqP6EPh2M7HRyaOvv7Fj5NXmpKQBo9XpiL5nCyCuuJiAs3MMjbJqqoLLK0PIBbo9vzb2cnhfFMDJyFP3C+iHptWJmUhAEQRCEFvXyyy8TFRXFDTfcAMD111/Pt99+S3h4OD/++CNDhgxpdJ8isOzgFEXh/61I4HBWKV18jbx10zB02ja09LOVFGSWuZL1xF7cjehxbSBZT8Z+WP8UHP9NfWwOhG4j4eh6mPgEvLYF/j6ubkKfDsZus5K08Rd2rl5BcU4WAAazmSFTZzLisivxDgj08Aib7mTRSfb1P86Iw71dbRLuQaOExITvewO5pJMLGpCMOjRGLZJRW+tzdXvdY1o0Rp3bY8mgRdKIIFUQBEEQBHdLlizh008/BWD9+vWsX7+etWvX8tVXX/HII4/w888/N7pPEVh2cJ9sT2Hl3nS0Gol3bhpGqG/nSfhSxVahJuuxWZx07evPuOs9vE+xKE0NFvd+BiigNcDou0Gjhy2vq0HlhH+ogWXNhD7QoYJLa3kZe3/+kd0/rqK8qBAAs68fI2bOZsjUyzB5+3h2gOchKTeJZQlLsScUcUvOZfWeo6Bg1zgweXujWJ0otsp6pDIoFQ6cFY5mGYtkaCgIrQpQ6wliTTUC1JrX6zrfTSlBEARB6IgyMzOJjFRLDq5Zs4brr7+eqVOnEhUVxejRo5vUpwgsG2nx4sUsXrwYm83m6aGc1b7ThTy3+gAA/5g2gNG9gz08otanyAq/fHiAgsxyvAOMTLszFq2n3hxbS+CPN2HrO1CVpCX2Grj0aQiMUutYVgWVNVU9lp2tOtyWUl5USPyPq9j70w/YKsoB8A3pwsjLryZu0hT0xvZ580NRFP7M+JOlCUuRjlQwN+cKelm7NXi+hIRB1pMfYyd29jgUWUGxOVGsTmRr1WdHrcfq5+qvHXWOVbUjV47LpgatckkzfJM6qc7Mac3ZUbeAtJ7ZVrfz9Rqx5FcQBEEQPCQwMJDTp08TGRnJunXreP755wH1/YzT2bT3nCKwbKSFCxeycOFCUlNTXVF+W1RQZuPeT3djc8pMjQ7jrot7n/2iDmjnjyc5sS8XrU6jJuvx90CyHqcD9nwEG1+Ashy1LXIMTPs3dB9Zfd7ExxvuowPMVBbnZLNz9bck/roeh129MRPULZJRV17LwLET0Ora568jp+xkQ8oGliYuxZDiZF72LAZaegGgGCWwym7LXxUUt8f+f8ooVypIGgnJpAOTjvMtAqQoCjhk92DT4kS21QhGLTUCVZsT2VIriLVVn4OjMkp1KMgOB5Q5OO/bHBLnsMS3/kDV9bVJVz2r2spLfquSMvlN6Ylf7ceX9mjVsQiCIAhCY1199dXcfPPN9OvXj7y8PGbMmAHAnj176Nu3b5P6bJ/v5IQzkmWFB7/aS1phBT2DvXj1uiGdcmbgxL4cdq5RawFOuLk/Yb1aOcOmosCR9eo+ypxDaltQb5j8DAy6AjrJa5KXmsKOlV9z8I9NKLIaoIT36ceo2dfRd+QYJE37XF5pc9r4/tj3fJj0IeYsiXnZsxhale1VL+E7rjvGsaEsWfoK12Zc6rpuj/chhpdVl0r5tuuv3CuPwaBtvsy/kiSBXotWr4VmWFGsOOV6Z05rz5qe6VjNIBYFUECxOHFanKh1dc6PpNcgmaqDUclQFXzWCEwNNYLRBvaunsuS35qZfovXn8La43qsNR4DIrgUBEEQ2rQ33niDqKgoTp8+zSuvvIKPj/qGISMjg3vvvbdJfYrAsgN6Z+NRfkvOwajT8O6cEfib9Z4eUqsryCxj/QfqMuC4S7oz6KJWTtaTsU/N9Hpik/rYHAgTHoORt3ea0iEZR5LZvvJrju3609XWI3YIo2ZfR4/Y9nuzo9RWyteHv+bjAx/jXaBnXs4VXFhamTlNK+Ezuiu+EyPR+qqv84133EPpr6kY/6jAOs5M36++xXLdv9XHY83cOOmeZg0qW4Kk1SB5adB4nf/vEkVWUOz1BKE1ZlQVqxPZUuOYreocR61ZVifIitqvXUaxy8gl9vMeI1rpjMt4y3dluZ1u9XYPIovXn8IcF6LOpOo1aAxa0Ent9v+8IAiC0PHo9XoefvjhOu0PPvhgk/sUgWUHs/lIDm/8chiA52bHEh3R+ergWSsc/PhuAnaLk4h+AYy9rmnT+U1SlAa/Pgf7vqA6Mc89MP7vYA5ovXF4iKIopCTsY8eqr0hJ3O9q73vBhYyefR3hfdtvqZvcilw+PfgpXx76Ep8yE/NzZjKh+AI0SCCB14gw/C7tgS7QfY9ouHc4XBEOV1Q2/NcIV4ysftzJSBoJyagDY3Mt+VXOshe1/mNV7W7n2yuX/DoV5HIHlJ/jkt96Asas1+NrnYNaSsagUWdXawSdNR9LhqpzGjpe9bUWTdV5VZ+1InAVBEEQGvbnn38yZsyYczq3vLycEydOEBMTc879i8CynXPKCjtO5JPt1wfd/nSeXJmIosANIyO5fmTb3QPaUhRZYf2yJAqzyvEJrEzW0xrlVawlsGURbHsHHBa1LfbaysQ8PVv++T1MkWWO7vyT7Su/Juv4EQA0Wi2Dxl3CBbOuJbh7+/2/eLrkNMuTlvPdke/ws3pxW+7lTCscixb1/5V5cAh+k3uiD/Xy8Eg7H3XJr4RWb2imJb9K9exo7SW+lsq2ygRLZXuykYvqLuGV9Bo0Zh2yTUaxO8GpVHZenUipxWglV6DpCkhrB61VwWrtoLRGUKupJwCWDOoS4Y5evkbsnRUEoSO79dZb6d27N3fccQeXXXYZ3t7edc45cOAAn3zyCR988AEvv/yyCCw7i3WJGTyz+gAZRRboPhk+2wNA9wAzz1x57v8JOpIda05wKiEPrV7DjHvi8PJr4SWGTgfsXg6/vVidmKfHRTD1eeg+omWfuw1wOuwc3LKJnau+IT89FQCdwUjcpKmMvPwq/LqEeniETXco/xDLEpbx06mf8LV7MTfvcmYVXIJeUX9tmgYE4jc1CkO39lsWRXAnaSUksw6NWQc0nOireENKvUElqEtyvS/p6gpCFGfl0t/KQFOxy2pwapPVQNMuux2vCkjdjttqXFe55FexVV9DZeyKU0FxOlAsrqTAzc41a1pPUKqpPeNa47Om1uOaAaumRgCM1nNLhsXeWUEQOroDBw7w7rvv8uSTT3LzzTfTv39/IiIiMJlMFBQUcOjQIUpLS7nqqqv4+eefiYuLa1T/Hg8sFy9ezKuvvkpmZiZDhgzh7bffZtSoUWe97osvvuCmm27iyiuvZOXKla52RVH45z//yfvvv09hYSFjx47l3XffpV+/6tqF+fn5/PWvf2X16tVoNBquueYa3nzzTdem1fZgXWIGf/lkt+v9RE2phRX8lpzN9NiurT4uTzq2J5tdP54EYOKcAYT2bMFlwIoCh39SE/PkqkuPCeoDU56FgTM7fGIeu9VCwq8/s2v1d5TkqQG10cubodMuZ/iMK/DyD/DsAJtIURR2Ze1iaeJS/kj7Ay+niZvzZ3BtwVSMTnV/oSHKD//pURij/D08WsFTqoIMF0Vx+5kvXn/KFYBIWglJq4MWqqJTtRy4TlBaKziVawWpNT/LNYLeusGsXJ0VmOq9rNA8dVbr0OAWlNZZ7lsrONXUnFWtFbTWu8xY3/Csa+3Xtb69syKwFAThbCZOnIher3dVkmhL9Ho9999/P/fffz+7du1iy5YtnDp1ioqKCoYMGcKDDz7IxIkTCQoKalL/Hg0sv/zySx566CGWLFnC6NGjWbRoEdOmTSM5OZnQ0IZnOk6ePMnDDz/M+PHj6xx75ZVXeOutt1i+fDm9evXiqaeeYtq0aRw4cACTSf3LPmfOHDIyMli/fj12u5358+dz11138dlnn7XY99qcnLLCM6sP1BtUAkjAM6sPMCU6HG0HX7ZUJS+9lF8+PAjAkEmRDBjTgkF1+l74+Uk4uVl9bA6CSx6HkfNB27ETJVlKS9n70xp2r/2eipJiALz8AxgxczZDplyG0at9LgeVFZmNpzeyLHEZ+3P2Y5T1XFswhZsLZmK2q7Pe+m4++E+LwtgvQCRh6eT8pvR0C0KMZaew+kS5HW8tVcuBJb0GTQv9+KkJl84wg2pzn5FVbE7k2u22M8zM2p3VU6wyruXHYD//sjb10Ul1g069Fm2QCWe+pfq8Wj/nrfm6CoLQfm3cuJHu3bt7ehhnNXLkSEaOHHn2ExvBo4Hl66+/zp133sn8+fMBWLJkCT/88APLli3jscceq/cap9PJnDlzeOaZZ9i8eTOFhYWuY4qisGjRIp588kmuvPJKAD766CPCwsJYuXIlN954IwcPHmTdunXs3LnT9Y/59ttvc9lll/Gf//yHiIhWzh7aBDtO5KvLXxugABlFFnacyOfCPsGtNzAPsZTZWftuAg6rk24DArnomj4t80RFqbDhOdj/hfpYa4Qxf4FxD3b4xDylBfnE/7CSfevXYrdUAOAfGsYFs64hZsJkdIa2ndW0IXannR9O/MCyxGWcKDqBTtEyq2gi8wpm4WVRl0LqupjxmxqFOTZYBJQCUL0c0rX37s1XKX7gnQ67F09NuKQF4/mmW6qfoijqMt6qgLV2EFsjCJXrCVKrZmbdrqtzXo3FwVX1WBtDI2E5UoCz2Io+3Bt9mBe6MG+03h37ZqIgCEJjeCywtNlsxMfH8/jj1UXhNRoNkydPZtu2bQ1e9+yzzxIaGsqCBQvYvHmz27ETJ06QmZnJ5MmTXW3+/v6MHj2abdu2ceONN7Jt2zYCAgLcIvTJkyej0WjYvn07V111Vb3Pa7VasVqtrsclJSWN/p6bS3ZJw0FlU85rz+TKZD1FORX4BpmYdmcMmuZO1mMphi1vwJ//V52YJ+46NTFPQMd6A1lbYWYGO1d/S9KmDTjtahmHkMiejJp9HQMuHI9G2zJvNFtaub2cb498y/Kk5WSVZ6FRJC4ru5jb86/Cu0wNKLUBRvym9MRraKjItinU4Xdpj+oA8s1aj4VGkSRJLcdSWT+0JX6rKLKC4mhgKbBdRrHJlO/NxpKUV38HsoLtZDG2k8VuzRpfPfowNdDUh3ujD/dGF+qFpoWCcEEQhLbMY4Flbm4uTqeTsLAwt/awsDAOHTpU7zVbtmxh6dKl7N27t97jmZmZrj5q91l1LDMzs84yW51OR1BQkOuc+rz44os888wzdQ/Mnw9mc4PXtYRQr64QNevs5730LJRntMKIPGe770Wk+I5CJ9uZcehTzDe/1Iy9yxCSAV1Pgb6yNl6JP6T1ht3ZsPy+ZnyueuzYAbPO/jq3hBxJYYdOIVkLSmVMFeGEUQ6J3odTkF55HXjdI2M7HwUGJ5/1KeazvsUUG2RQYFreMO7InoWPpP7e0DjK8MvZhvfB/UhbW2AhngdfV6GFiNe0zZMqP84kf9DD7stfa+2dRVHwzduO3RiC3RiC0xCAXGLHWlKI9WihW19aWyF6a676YclFZ81Fb8tHUlowK7BwduJnteNpS69pRYWnR+BxHk/ec65KSkq49dZbef/99wkJCWn153/88cd56KGHXI/T0tKIjo6GDz6AVl5HPUpW6Pryr2QWWerdZykB4f4mRn22BDrwHssju7LY/b8kACbeOYQuF0xrno4VBQ6vg/VPQ+5RtS24r5qYZ8BlrZeYZ9Ys+P771nmuSmmHDrBj1dcc373T1RY1ZDijZ19Pt0Ex7XYpaHppOh8d+IhvD3+LxWkBBaYrE1iQezU+uXq1xqBZh++E7vhcFIHGML3lBuOB11VoYeI17RD8amSFhXr2zk6Nwu/Si12PZasDe1Y5jqxy7Jll2LPKsWeVIZfYcRoCcBoCsPjWqKOsAV2IWZ3hrFpOG+6NLsjU4cu4tBniZ7XjaUuvaWoqRLbf8mrNwWOBZUhICFqtlqysLLf2rKwswsPD65x/7NgxTp48yRVXVFcVl2V1z4ROpyM5Odl1XVZWFl27VidvycrKYujQoQCEh4eTnZ3t1rfD4SA/P7/e561iNBoxGqvTzxcXFzd4bkvTaiT+eUU0f/lkNxK4BZdVf5r+eUV0h07ck5tayq8fqcl6hk7pQf8LGn7tGiV9D/z8VHViHq9gNTHPiNs6bGIeRVE4uTee7Su/Ju2QGqgjSfQfPZZRV15LWO++Z+6gDTtScIQPEj9g7Ym1OBR1T9UM/SQW5F6Fd7q6VE0yaPAZ1w3f8d0ry0wIgtAZNXbvrMaow9jDD2MP9wzkzlJbdcCZVYY9U/2sWJw4sitwZFdQkZBbfYFOoy6lDfNCH+aNLlz9rPU3tNubeYIgtC8Wi8WV5PR8eOxdlMFgYMSIEWzYsIHZs2cDaqC4YcMG7ruv7hLDgQMHkpCQ4Nb25JNPUlJSwptvvklkZCR6vZ7w8HA2bNjgCiSLi4vZvn07f/nLXwC48MILKSwsJD4+nhEj1DqDv/76K7IsM3r06Jb7hpvZ9NiuvHvL8Oo6lpXC/U3884roDl1qxFJmZ+2S/ThsMt0HBnLh7N7n32nhafj1Odj/pfpYa4QL71UT85g6ZlkJWXZy+M8/2LHqG3JOHgdAo9URffEkLph1DUER3Tw8wqbbm72XpQlL+S31N1fbLN/p3JZ9JeaDlbditBI+Y7riOzESrU/7TD4kCELzao69s1ofg/o7pU+Aq01RFJzFNhxVM5uuGc5ycMjY00qxp5W69SOZtJWzm5UBZ+U+TpEwSBCE5iDLMv/+979ZsmQJWVlZHD58mN69e/PUU08RFRXFggULGt2nR2/PP/TQQ8ybN4+RI0cyatQoFi1aRFlZmStL7Ny5c+nWrRsvvvgiJpOJ2NhYt+sDAgIA3Nr/9re/8fzzz9OvXz9XuZGIiAhX8Dpo0CCmT5/OnXfeyZIlS7Db7dx3333ceOON7SIjbE3TY7syJTqcHSfyyf7n84Q+8ySjegV16JlK2Snz8/8SKc614BdiYtodseeXrMdSpCbm2fZ/4KxMzjT4Bpj0ZIdNzOOw2znw+wZ2fv8thZnqHlyd0ciQydMZMfMqfINbf6l5c1AUhc1pm1masJTd2bsBkJC4NuRKbsm5HMMOG6CABryGh+E3uQe6gBYqLigIglCDJEno/I3o/I2YBlTXh1NkBUe+pTrgrJzhdOSWo1ic2E4VYztVK2GQj961lLZ6htMLjVGsuBAE4dw9//zzLF++nFdeeYU777zT1R4bG8uiRYvaX2B5ww03kJOTw9NPP01mZiZDhw5l3bp1ruQ7KSkpaDSNCxr+8Y9/UFZWxl133UVhYSHjxo1j3bp1btO7n376Kffddx+XXnopGo2Ga665hrfeeqtZv7fWotVIakmR4mPQCUqL/LnyOKcPFqAzaJhxz2BMPk28c+u0Q/yH8NuLUF6ZBbDnOJj2PEQMa7bxtiU2SwX7f1lH/JrvKC3IB8Dk7cOwGVcwbPoVmH39ztJD2+SQHaw7uY5lics4UnAEAJ1Gx80R13NDzjQ0f5SBbAPAPDgEvyk90Xdpn/U2BUHoWCSNhD7EjD7EjLnGvXPFIePIraie2az87My3IJfasR6tJ2FQoLHuDGeolyvbriAIQk0fffQR//3vf7n00ku55557XO1DhgxpMJHq2Xj89tZ9991X79JXgN9+++2M13744Yd12iRJ4tlnn+XZZ59t8LqgoCA+++yzxgxTaAMO78xkz/oUACbNHURId5/Gd6IokPyjmpgnryoxTz+Y+hz0n956iXlaUUVJMXvWrWbPujVYStUyOT6BQYy4/CoGT56OwdS6WY2bS4WjgpVHV7I8aTlppWkAeOm8uDXqZq7OnoS8sQgcZQCYBgbhN7Unhogm/J8RBEFoZZJO4ypfUpNsdeLIdk8WZM8sRy6x4Syw4iywYjmUX32BBnTBZrfam/pwL3TBZpEwSBA6ubS0NPr2rZtHQ5Zl7JUl5hrL44GlIJyLnNMlbPxIvXsyfFpP+o0MO8sV9UjbDT8/Caf+UB938MQ8JXm5xP/wHft+WYejsgZrQHhXLph1LdEXT0Knb5/fc5G1iC8OfcFnhz4j36K+gQoyBXFbn7nMzBmH/ac8ZFshAIZefvhPi8IY1TH3yQqC0LlojFoMkb4YIn3d2p1l9hrJgqpmOctRLA4cORU4ciqoqJmmQiehD/VyzXBWBZxaf6NIGCQInUR0dDSbN2+mZ8+ebu3ffPMNw4Y1bfWeCCyFNq+i1MbadxNw2GV6xAQx+spGJuspTIENz0HCV+pjnQnG3Avj/tYhE/Pkp6ex8/tvOfD7r8hONRNql6jejJ59Hf1GX4RG0z4Ld2eVZfHxgY/5+vDXlDvKAejm043bB8xncs4oKn7IxFahZnzWd/NRA8p+AeJNkiAIHZ7WW4+2tz/G3tV/0xRFQS621UoWVIYjqxzFLmNPL8OeXubWj2TUqns3w6uTBenDvESCM0HogJ5++mnmzZtHWloasiyzYsUKkpOT+eijj1izZk2T+hSBpdCmyU6Zn95PoiTfgl8XM1Nuj0Fzrst3LEWw+XX4890aiXlurEzM0/HqDGWdOMaOlV9zePsf6pJfoPugWEbNvo6oIcPbbYB1ougEHyZ9yPfHvschq4Fy/8D+3DFoAWNzBlO6KpXyklQAdKFm/KdGYYoJbrffryAIQnOQJAmtvxGtvxFT/0BXuyIrOPMtbqVQ7FnlOHIqUKxObCkl2FJK3PrS+OjrlEPRh3mhMYm3kYLQXl155ZWsXr2aZ599Fm9vb55++mmGDx/O6tWrmTJlSpP6FL8RhDZt64pjpCUXoDNqueyeOEznkmbdaYddH8Cml6oT80SNh6nPQ8TQFh1va1MUhdSDiexY+TUn9+12tfcefgGjrryObgOjPTi685OYm8jShKVsSNmAUlmtdUTYCBZEL2B4Tj+KV6RQXHACUJNW+E3uidewULFvSBAE4QwkjYQuxIwuxIw5prrdlTDIFXCqQacrYVBpEdZjRW59aQOM1TOcVZlqu3gh6UXCIEFoD8aPH8/69eubrT8RWDbS4sWLWbx4MTabzdND6fCS/8xg34bTAEy+bRDB3c6SeEVR4NAPamKe/GNqW0h/mPIc9J/WoRLzKLLM8T072b7yazIOq3tPJUnDgIvGM+rKa+nSs5eHR9g0iqKwLWMbyxKWsT1zu6v9kshLWBBzOwNyIin65iQF2Wr2V42vHr9JPfC+IFxkPhQEQTgPbgmDhlS3yzZnjf2b1TOccrENZ6EVZ6EVS3JBjY5AF2J2SxakD/NWEwZpO87fYUHoSEpLS5Fl2a3Nz6/x1QKaNbBcsWIF//rXv9i/f39zdtumLFy4kIULF5KamkpkZMdbTtlWZJ8qZuOnyQCMmNGTPsNCz3xBWjz89CSkbFUfe4XAxP8Hw+eBtv3dPynOzaZCUjDnZuMXUv29y04nyVt/Z8eqb8g9fQoArU5HzCWTueCKawgI7+qpIZ8Xp+xkfcp6liUs42D+QQB0ko7Lel/G7THz6ZYTTNFXJ8lLU49JZh1+l3TH+8IINIb2uWdUEAShPdAY6k8YJJfb3TLTVu3jVCqqEwaRmFd9gU5C36We/ZsBImGQIHjCiRMnuO+++/jtt9+wWCyudkVRkCQJp9PZ6D4b/Y77vffeY/369RgMBh544AFGjx7Nr7/+yt///ncOHz7M3LlzGz0IQaipvNjG2iUJOO0yPeOCGXXFGZL1FJyCDc9C4jfqY50JLrwPxj4ApvZZl7E4N5tlf7sbp0lB+7e7uX3Re3j5BZD42y/sWv0tRdlZAOhNZoZMmcGImbPxCQw6S69tk9Vp5ftj3/Nh4oeklKilZMw6M9f0u4a50XMJyvWi6KuT5J7IAEAyaPAZ1w3fi7uLvT2CIAgepPHSY+zlj7FXrYRBJbbqmc3MWgmDMsqwZzSQMKiq9mblDKfWVyQMEoSWdMstt6AoCsuWLSMsLKxZbvA06p3ZSy+9xNNPP83gwYM5dOgQq1at4oknnuDtt9/mgQce4O677yYwMPDsHQlCA5xOmZ/eT6S0wEpAmBdT5kfXn6ynohA2vwbbl4DTBkgwpDIxj3/31h52s6ooLsZZWT/Iabeza/V3JG/bTHlRIQBmXz+Gz5jF0GmXY/Jpn3UZS2wlfJX8FZ8c/ITcilwA/I3+zBk4h5sG3oRXno7ir0+Sk1xZa1Qn4TMmAt9LuovshIIgCG2UJElo/Yxo/epJGFRgcc9Qm1l25oRB3vp6M9SKm4qC0Dz27dtHfHw8AwYMaLY+G/XT+cEHH/D+++8zb948Nm/ezIQJE9i6dStHjx7F29v77B0Iwln88c1R0o8UojdpmXFPHEavWsl6HDaI/wB+ewkqKotA97pY3UfZzhPzFOdmU1FcTH7aabf2PetWA+AdEMSo2dcSN3EqepPJE0M8b7kVuXxy4BO+TP6SUnspAOHe4cyLnsfV/a5GXwjFK06RvV8NNtGA98hwfCf1QBdg9NzABUEQhCaTNBK6YDO6YDPm6GBXu+KQceRVuM1wOrLKcORbkMvsWI8XYT1eK2GQv7G69mZVwBlqRtLXvy2ieEMKxetP4TelJ361H1/aoyW/bUFo0y644AJOnz7tucAyJSWFSZMmAWoWIb1ezzPPPCOCSqFZHNyaQcJGtWzE5NuiCepa4/+VosChNbD+nzUS8wyAqc9Bv6ntPjGPa/lr5UxlfSxlJfS9YEy7DCpTilP4MOlDVh1dhU1WE1/18e/D/Nj5XNbrMqQSJ8WrUsiPz6IyASzmIV3wm9ITfYjZgyMXBEEQWoqk01SWLvEGurjaZZsTR3a5ezmUzDKcxTacRVacRVaonTAouDJhUHh1wFm+L4eSDeo2i+L1p7D2uB7r+lOux4AILoVO63//+x/33HMPaWlpxMbGote7T+YMHjy40X02KrC0Wq2YarypNRgMBAW1z71dQtuSdbKYTZ+pyXoumBlF76HVf2BI3QU/Pwkp29TH3l3UxDzD5rbLxDz1qbn8tSFOu52K4mK3ZD5t3cG8gyxLXMbPp35GVtRsY0O6DGFB7AImRE5AKXVQ8mMKpX9mgFONKE2DgvCb0hNDRPtc5isIgiCcH41Bi6G7L4bu9SQMqhlwVs5wyuUOHLkVOHIrICmvgV7B6u0eRBavPyUCS6HTysnJ4dixY8yfP9/VJklS6ybveeqpp/Dy8gLAZrPx/PPP4+/v73bO66+/3uiBCJ2XK1mPQyZqcAgXzKwslVFwsjIxz7fqY50ZLqpMzGP0bbC/9sjs54dGq0Wu9UNc9QMOoNXrMTch9XNrUxSFnZk7WZq4lK3pW13t47uNZ0HcAoaHDkexOCn5OYXSP9JQbGrAaeztj9+0KIw92/73KAiCILQ+jZceY5Q/xqjaCYPsdcqhOLLKXH9fXGqtbtL6G8j/MhltkAldkAldsAldkBmNr15kqhU6vNtvv51hw4bx+eefeyZ5z8UXX0xycrLr8UUXXcTx48fdzhE/iEJjOB0y6/6bQFmhlcBwNVmPZC2sTMzzXnVinqE3w8QnwL+bp4fc7GTZya4137mCym4DoklLPgCofzAvu+/vBHWLxOzn16ZnK2VFZmPKRpYmLiUhNwEAjaRhetR0bo+9nQFBA5BtTko2pVLyWyqKxQGAvrsP/tOiMPYNEL8/BEEQhEZREwYZ0PoZMPWrlTCo0EreRwewZ5bVe62zyEb5nuy6feo11cFmkAldsFl9HGxCF2gSdZOFDuHUqVN8//339O3bt9n6bFRg+dtvvzXbEwsCwJavjpBxtAiDScuMOwdi2Pc+bHoZKir3TvSaAFOfh66NX+fdHtgqylnz5iuc2LMLgHE3zqXnkGF8+viDrnOCukUS1rv5fuibm91pZ83xNSxLXMbJ4pMAGLVGrup7FfNi5tHdtzuKQ6Z0azrFv6Ygl6pLfnVhXvhP7YkpOlgElIIgCEKzkjQS5XuyGwwqAcyDQ9BH+ODMs+DIr8CRZ8FZZEWxyziyynFkldfTMWj9jOiCTdXBZpA606kNMqHx0om/aUK7MGnSJPbt2+e5wLK23Fw1c2NISEizDEboXA5sSSfx9zSQYMqUEgK/nQj5lTPgXQaqAWXfye0+MU9DinOz+e7lZ8lNOYlOb2D6wocYcOE4inOz0er1OO32Nr38tcxexjeHv+GjAx+RXa7e8fU1+HLjgBuZM2gOweZgFKdC2a4sin85hbPQCoA2yITflJ54DemCVF8pGUEQBEFoBlUJelwUxe09RcX+XIJvHuR+ikPGUWjFmVeBI9+CI8+CI9+CM199rNjk6gRCtTLWAkgmrZoBt3K2U1tjia3W34ikFX/3hLbhiiuu4MEHHyQhIYG4uLg6yXtmzZrV6D4bHVgWFhbyxBNP8OWXX1JQoM4qBQYGcuONN/L8888TEBDQ6EG0J4sXL2bx4sXYbDZPD6VdyzxexKYv1GXVoyN+J2rnG+oB71CY9AQMvaXDJOapT8bRZFa+8hzlRYV4+Qcw+x9P0bWvmu7ZLySU2xe9R8WCBZgXv9fmlr/mW/L57OBnfH7oc4ptxQCEmkO5NfpWru1/LT4GHxRZoTwhh+KfT+HIqQBA42vA79IeeI8ME8uIBEEQhBbnN6WnW3BpLDuF1SfK7Xhtkk6DPsRcb0ZyRVGQS+1qwJlvqRN8yiU2FIsTe1op9rTSugPSSGgDja7ltbWDT42x477vEdqee+65B4Bnn322zrFWSd6Tn5/PhRdeSFpaGnPmzGHQIPUuz4EDB/jwww/ZsGEDW7duJTAw8Cw9tV8LFy5k4cKFpKamEhkZ6enhtEtlRVbWvrsX2aHQ27iNEY5FoDfDRX+Fsfd3uMQ8tSVv28K6xa/jsNsI6RHFVY8+XSd49AsJxU+RoA0FlWmlaSxPWs53R77D4rQAEOUXxfzY+Vze+3IMWgOKomBJzqfo51OuP6oaLx2+l0TiPaYrGkP9dcYEQRAEoblVZXx11a1881WKH3inyXUsJUlC62tA62uoN9GcbHPiLKgMNCuX1zorg1BHvgWcCs48C848C9YjhXWu13jrq5fY1gw+g01ofAxilY/QrGRZPvtJjdSowPLZZ5/FYDBw7NgxwsLC6hybOnUqzz77LG+88UazDlLoOJwleax7eRPlJQEE6lK41P9tpGFz1FlKvwhPD69FKYrC9u++4o8vPwag9/ALmHn/IxjMXh4e2ZkdLjjMB4kfsPbEWpyKevcqJjiGBXELmBQ5Ca1GDRatJ4oo+ukktpPqLKZk0OIzvhu+47uhMYm7sIIgCELr87u0R3UA+Watx81MY9CicdXldKfICs5iG468GsFm5YynM9+CXO5ALrNjK7NDSkndznWaGsmEKmc6qwLPQBOSXqwEEjyvUe/2Vq5cyXvvvVcnqAQIDw/nlVde4Z577hGBpVCXwwY7/8fv32aSWXoJRqmUy+J+xXDlegiP8/ToWpzDbmf9f9/mwO+/AjB8xiwmzF2ARtN2Z/B2Z+1mWeIyNqVucrVd2PVCbo+7ndHho13JCWxppRT/fBJLVbFqnYTPhRH4XhKJ1ltfX9eCIAiC0KlIGgldgBFdgBH61D0uVzgqZzYrkwjVCD6dhVZwyDiyy3FkN5RQyFA501k9y1mVzVYkFBKqvPXWW9x1112YTCbeeuutM557//33N7r/RgWWGRkZxMTENHg8NjaWzMzMRg9C6MAUBQ6sgl/+RWJaPw6U/gWQmXKVFwFTlnfYxDw1lRcX8f1rL5B2KAlJo2HS/HsYOvUyTw+rXrIiszl1M0sTl7Inew8AEhJTek7h9rjbiQmu/vm3Z5dTvP4UFQlqEi80Et4XhOE7qQc6f6Mnhi8IgiAI7ZLGrMPQzQdDN586xxSnjLPAWh14Vu7rdFZ+VmxOnEU2nEU2bCeK61wvGbWuYFMbZK6RydaENsAkEgp1Im+88QZz5szBZDKdcSJQkqSWDyxDQkI4efIk3bt3r/f4iRMnCAoKavQghA7q9A746QlI3UGGbSCbi+8EYMyVvek5tbeHB9c68tJOs/LlZynMysBg9uKKvz1K1NARnh5WHXbZzroT61iWuIyjhUcB0Gv0zOozi/mx8+npV53gwFFgofiXFMp3Z4ECSOA1pAt+k3uiqyfZgSAIgiAITSdpNehCzJV/Y93zmCiKglxmr0wm5L7E1pFvQS62oVid2DPKsGfUU3pFA9qAumVTqh6LrSyNN3HiRPR6vSsvS1ty4sQJfv/9dy666CJOnDjR7P036n/LtGnTeOKJJ1i/fj0Gg8HtmNVq5amnnmL69OnNOkChHco/Dr88AwdWAlAqdWNt+TPI6OgzPJTh03t5dnyt5FTCXla/8SLWsjL8uoRx1aNPExJZNwOdJ1U4KlhxZAXLk5aTUZYBgLfem+sHXM+tg26li1cX17nOEhslG09Tuj0DnAoApuhg/Kf2RB9edz+JIAiCIAgtS5IktD4GtD4G6FE3oZBid7qCzNpLbB0FFnAoOCv3eVrr6V/jrasTbOqCzGiDTWh9RUKh+mzcuLHBSbi2YOLEiWRkZBAa2vwJIhudvGfkyJH069ePhQsXMnDgQBRF4eDBg/zf//0fVquVjz/+uNkHKbQT5fnw+39gx39BtgMSjsFzWXvwRiosFoK7eTNp7sBOsc5//4Z1bFj6LrLTSdf+A5n98JN4+Qd4elguRdYiPj/0OZ8d/IwCq7o3MsgUxK3Rt3L9gOvxM1T/cZLL7ZT8nkbpH2kodjWDmLFvAH5Te2Ks54+YIAiCIAhtg6TXoj9TQqESW+VMZ926nXKZA7nMga2sBE7Xl1BIQhdYnb3WPfg0Ienbbh6JzkxRlBbru1GBZffu3dm2bRv33nsvjz/+uGtgkiQxZcoU3nnnHVGCozNyWGHn/2DTK2ApVNv6TEKZ/Cy/r9eRfToDo5eOGfcMxtDBl1TIspPfP/2Q+DXfATBw7ASm3fMAuloz/J6SWZbJxwc+5uvDX1PhUOtLdvfpzvzY+czqMwuTzuQ6V7Y6Kd2aRsmmVBSLmg3WEOmL37SemPp23JJCgiAIgtAZSBoJnb8Rnb8RY2//Osdli6PWTGdFdeBZqM52OnIqXPWqa9P4GeqUTakqpaLx1neKiYa2qqX+7Rv9Lr9Xr16sXbuWgoICjhw5AkDfvn3F3srOSFHU5a6//AsKTqptoTEw9VnoO5nE31I5uPUwkgRT74jBv0vH3n9ns1Tw49v/4diu7QBceO3NXHjtTW3iF+fxouN8kPgBa46vwSE7ABgQOIAFcQuY0nMKOk31rwLFIVO6PYOSjaeRS+0A6MK88J8WhWlQUJv4fgRBEARBaFkakw5DhA+GiAYSChVaay2zrQ48FasTudiGrdjmKkNWU1VCoepZzhrBZ4ARSdtw+ZTiDSnVtUhrP26hUjIdzW233YbReOZEiytWrGh0v02ePgoMDGTUqFFubYqikJOT0yJrdoU2JmU7/PwEpO5UH/uEw6QnYejNoNGSfqSALV+pNx4uvKovPaKDPTjYlleSl8t3rzxLzsnjaPV6pv3lbwwaO8HTw2J/zn6WJS7j15RfUVBXGFwQfgG3x97O2IixbkGi4lQo351F8YYUNbU5oA024T+lJ+bBXcQ+CkEQBEEQgMqEQsFmdMF1Jw0URUEud1TX7KxKKpSvPnYWnWNCoarMtTWCz4rEXEo2ngageP0prD2ux7r+lOsxIILLc+Dr64vZ3PwTPo0KLL28vDh16hRduqgJPWbOnMn//vc/unbtCkB2djYRERE4nc5mH2hbsXjxYhYvXozNZvP0UDwj/7g6Q3lglfpY7wVjH4AL7wOjekerJN/Cuv8mIssK/S4IY+iUjr08Ouv4UVa+8iylBfmY/fy58uEn6TZgkMfGoygKW9O3sjRxKTszd7raJ0VO4va42xnSZYj7+bJCRWIuxT+fwpGrLmfR+hnwvbQH3iPDznjXUBAEQRAEoSZJktB669Va1vUmFJJxFNSo0+kWfFrAIZ8xoVBNVm/3ILJ4/SkRWJ6Dt956y/PJeywWi9uGz99//52KCvd11S25IbQtqEodnJqa2rn2k5bnw++vwo731cQ8kgaG3QITnwDfcNdpDpuTtUsSqCixExLpw8RbO3ayniM7tvLjO6/hsFoJ7t6Dqx59Gv/Q8LNf2AIcsoNfTv3C0sSlHMo/BIBO0jGz90xuj72d3gHuJV4URcGSXEDxTydddww1Xjp8J0biM6ar2HQvCIIgCEKzk/Qa9KFe6EO96hxTZAW51KYGmjWSClUFn3KZvVZn7u8x/aa0rez7bVFLvi9v9kwqHTmI6JQcVjXL6++vgqVIbes7GaY8C2ExbqcqisJvnyWTk1KCyVvPjLvj0Bs6ZnCiKAo7v/+WzZ8vB0Wh5+BhXPHgYxi9Wr/shtVpZdXRVXyY9CGnS9TlIWadmWv7X8vc6LmEe9cNdK3Hiyj66SS2U+q+B8moxXd8N3zGdRM1qwRBEARB8AhJI6H1M6L1M2LsVU9CIauDnP8lYD9dWueYsW+AmK08B20mK6zQiSgKJK1Q61EWqmvWCYtVA8q+l9Z7yf6NqST/mYmkkZh6Zwx+IR0zWY/TYeeX//0fiRvXAzBk6kwm3XYXGm3rBtElthK+TP6STw58Qp4lD4AAYwBzBs3hpoE34W+s+wvZllpC0c+nsB5WS4yg0+BzUQS+E7qrS1YEQRAEQRDaqNIt6fUGlQDWo4UUb0gRweVZbNy4scWSrjYqsJQkyW1GsvZjoYNI+RN+egLSdqmPfcLh0qdgyE2gqT94Sk0u4I9vjgJw0dV9iBzYMbMEV5SWsPr1FzmdtB9J0nDJvDsYNv2KVv05yCnP4ZODn/BV8leU2tVfrl29uzIvZh5X9b0KL33dpSX2rDKK15+iIlENQNFIeI8Kx29SJFq/M2cFEwRBEARBaAuqEvS4KIrbclixx/LsJkxoueSSjQosFUWhf//+rjfRpaWlDBs2DI1G4zoutGN5x9TEPAe/Vx/rvWHc3+DChWBoeIlncV4FP72fiCIr9B8dxpBLO+be04KMNL57+VkKMtLQm8xc/sA/6D38ghZ5rm3p23hpSiqPpW/jwogLAUgpTuGDpA9YdXQVdlndY9A3oC+3x97O9F7T0Wvqzjg68i0U/3KK8j3ZoAASeA0NxW9yj3ozuQmCIAiCILRF9vR0rIfXYOx/uavNkXMQXWi067H18Brs6X3QR0R4YoidXqMCyw8++KClxiF4Unk+bHoFdr4PskNNzDN8Llzy/8A37IyX2iuT9VhK7XTp4cvEOR0zWc/pAwl8/9oLWEpL8A3uwlWPPk2Xnr1a5LkUReHN3W9y3M/Om7vfxM/gxwdJH7D+1HpkRQZgaJeh3BF3B+O7j0cj1c3a6iy2UbwxhbIdmeBUb/iYYoLxn9ITfXjr7wMVBEEQhNZmT0/HUVBQ3WCxQFKS66EuMFAEIO2Io6AA24HvwenEMHAWtoOrsB3+EcOAmerjQ99jS/4BR8Fc8bp6SKMCy169enHRRReh04mtmR2C3VKZmOc/YK1KzDOlMjFP9JmvRQ2ANn58iNzTpZh99cy4Jw5dB0zWk/jbL6z/7zvITgfhffsz+5Gn8A4IbLHn25q+laQ89Q9fUl4SN/5wo+vYxd0vZkHsAoaHDa/3WrncTsmmVEq3pqPY1SDU2C8A/6lRGCJ9W2zMgiAIgtCW2NPTOTZ9Bkrt8nDXXOv6UjIY6LNurQhC2ghFUUCWwelEcTpRnDI4HShOJzidOPLU7Ty25B+wJf/guq72Y8FzGhUhTpw4kYyMjBapeyI0XVpaGuv79WNKWhrdunU7+wWKAonfwoZnoDBFbQuLhanPQZ9J5/y8+zac5sjOLCSNxLQ7Y/ENMjXxO2ibFFlmyxcfsWPVNwD0HzOO6QsfRG9o/j2JiqJwougEOzN38vaet+scn9lrJrfH3U7/wP71Xi9bHZRuSafk91QUq1pH1tDDF79pUZj6BDT7eAVBEAShLXMUFNQNKmtRbDYcBQWtHlgqiuIKnmp/VhxOkCvbHA4UWUZxOCqPVwVa1QGX69qq6xxOFKcDZFltqzxfcTrA9blGXw4niuwER63x1OzLKVceq9FXzetkWR2rs/6+3Puo9b3V+BqHo1VfBwGOHTvGBx98wLFjx3jzzTcJDQ1l7dq19OjRg5iYmLN3UEuj91gKbc++ffs46evL/v37zx5YntoKPz8JafHqY9+uMOkpGHJjg4l56nP6YD5bv1WT9Yy7ri/d+rfcDJ4n2K0W1i5+nSPbtwIw+qobGHv9HCRN3WWnTeGUnRwpPEJ8Vjy7MnexO3s3+Zb8Bs+/os8V9QaVil2mdHsGJRtPu2o76cO98ZvWE9PAoA65LFkQBEHo3BRFAbsd2WJBrrCgWCqQLRaUiorKtgqsR466XZMfGMi+oUMYsncfQTWWx+a+9x46/4AGAqfqgMkVaJ0tcHIFTHXbqvuSW/ufrP3TaNSPGsFnQ6+pcG42bdrEjBkzGDt2LL///jv//ve/CQ0NZd++fSxdupRvvvmm0X02ek2reKPaNhQWFlJeXo7dbmffvn2AGmCGhYWh0Wjw9vYmICAArVarfhSloN38CtojP6JFRqPzRhr/YGVinrpZRM+kOLeCn/6XiKLAwAvDibuke0t8ix5TWpDPyleeI+v4ETRaHVPv/isxE+ovsXKu7LKdg3kH1UAyaxd7svZQYi9xO8egMaDX6Cl3lONv9ScuP46EoASKTcW8vedtLoq4yPXzpzgVyuOzKN5wCmeRekdWF2zCb0pPzIO7IGnEz2lb1OjVBYIgtBqxH695KE4nisXiHvTVCP7kigr1eI1jsqUCpUK95sxt1cEjTmejxnWyVxTZYWGcjIpyC0JKf17f3P8E50erVW9i63RIWq36WKsFrQZJ694m6bSgqTyu01Vep608TwPas/eBToukqezLdZ3ah+v8ms9Tu01Xs/9az63TgkaDVPW9aLRu17mPrcZzu76XGmOVJCqSkjhZYylzQ6+pcG4ee+wxnn/+eR566CF8fau3S02aNIl33nmnSX02OrC87bbbMBrPvBRwxYoVTRpMe7B48WIWL16M7SzLK1raokWL6rRZLBa+//77M1zVB/ir+qUDtL9b0P6xqDr4PIcPSdKQnlyEVevEK8JIRXAFP/98ulF9NPZD00yzhOci++RxvnvlWUrzcjH5+nHl3/8f3QfFNrofq9NKQk4C8VnxxGfFszdnLxWOCrdzvPXeDA0dysiwkYwMG0mRtYj7fr0PgJ6lPQm1hNKztCf7jPtIyktia/pWLup6ERUJORSvT8GRq/an9TPgO7kH3iPC1F/KQpvVqNUFgiC0mtr78VwzIXfc6XrD2t734ymKgmKzuc3qKbVm/JoU9FX1V/n12ZafNjuNBo3JhGQ2V342oTGZwekk79QprJXvWVN6qCUoUnr2IOrkSQCMVivdLr8cfdfwhoOq2kFSA0GVe3BUK6iqGSTVF1RVnVMZQHUkiqK4rXis72vX53ra1GW+6iyl1W6n0N8Pq8EIEpxq4DUVzk1CQgKfffZZnfbQ0FByc3Ob1GejA0tfX1/M5s5bpmDhwoUsXLiQ1NRUIiM9V1bj6quvZuXKlcgNLKcwGo1oZBtOuw0nEs56Xmqn04mzkXf8XLzAKsOuXSlNu74RJElCo9G0aPCq1WrJTz3F/vVrcdqc+PTow4XX3oTVYObkyZNnvdam2EjIT2B39m7is+JJyEnAJrv/cfU3+jM8dDgjwkYwMnwkAwIHoNOor4uiKNy64lZuzLyMGYUX871pOwB9S/rwUM5NrA34nfXrVtOnxIQjsxwAjbcO30t64DOmK5JeBJRtVdXqAoCkytmPxMREhgwZAoCXlxcBAQGeGp4gCNTdj1ffTEhL7sdTHI46SznrDfDOM+ijmbc0KYAiSSiShKzRqJ+NRtdjTCb1w2xGMRnVr41GFKMRjCYwGFCMBhS9AQx69bNeh6zXg06Potch63Sg0yFXBmCyRoOi1aJoNMgaDTLq31BZlnE6nciyjCzL2AsKOHj6dI3Bqt+71Whk/bSpruYeXbqgMZurAxlFQbHbwF71sFag08DX59rW0sfbUp8tYsaMOk21X9PG7wzsnAICAsjIyKBXL/cqB3v27Gnyze9GB5ZvvfWWSN7TBgzO+4GQ4Qb+u8tS59hdvdKISF8H9mK1ITwOZcpzyFEXu4LJpnyc2J/Nsb3ZIClEjw/HO9BwXv019FE7WFYU5fyC4MYIVW8WWIDv165r9OUyMt2l7kRIESCBTqfDqDNiNpgx6U1oi7TYj9vZod1BvDa+eiZYI9H3QF/swPfGnSBrQAJkSX1cYYbTsMWxD8kooe/ugz7CB6msCDYkuI3hbL/Uz3S8pa7tzP0eOHCgzjllZWX897//dT0eO3Zsk2fzz22lQce6A96WiOXNHUeZl9dZZ7fsaWkADQZ4zooKZEsFjgoLTksFTosVh9WKbLHgsFpx2qzIVhsOmw3ZZsVps+O025Fl2S04UzQSsqRp+PPZzjUYUExG5MBAt3ZFqvxap1WDM60O2fW1GqxVBWxuwSK4PsuArCgolZ+bhewEi1NdftxSqn4P1vp9mJKTAzk5Lfe8QsurfE0lWWZ0fDy6u+7y8IDahxtvvJFHH32Ur7/+GkmSkGWZP/74g4cffpi5c+c2qc9GBZbizUkbotHCrveBOXWPnfgNKAbfCLj0KRh8I5JGgxbQaptWDiQlKY8/tuVjViKYcFN/Yie03L7KmoFkS384HA4yjiZTmJWFIkn4hHQhIKwrzso7n1WBrs1hw2KzYHPYcDqdKLKCRtGgwX2mUIMGjaJRb+MCOMFutWMvs1NM8bn/I0i1PldK1FXOEKdVfggdwh9//NGi/bfGjH9zLXtvb39nxPLmuqpmj+r7ONMxT37YcnI4PuuKmt8EUHcmxPvnn92DuprBV2VQ5sZkVD/8/Vrjn75l1JjJO1c1VxppNJoGP850/HyPObOzKfjfUirMJg7Wk90ybt9+vMvK6PLg3zBWrkCr+funvq/Fcc8ft2dkkH7iBB//+iu1zZ06le733NNul6u3thdeeIGFCxcSGRmJ0+kkOjoap9PJzTffzJNPPtmkPkVW2PZqwj/wtsj4bMvDz9vM8Jzt7PbqRTG+eGvscMmTMKbxiXnqU5hdzs9Lk0CBQWO7EnNxy755kiQJnU7X4vVSLWWlrFn0Mtb9ezBLEhPmzGfE5VchSRJZZVmu/ZG7snZxvOh4net7+vVkROgIhncZzpCQIYSaQs8ryC07lEvO4QwO6lPrPFdfRzj+kcGYege42s72Bvx8jrfHa9vquCRJoqioqN7gcfjw4Xh5eTX7DZPaXEvD7PYzfh9twfkEpa0VAJeUlGCxWJAkqd7lzWazGT8/P48HS5766BDvFRqY3Srz8Wlad4BGktSP2sFQ1f/hqo8WDrhao9+2cIPInp7Osaf/SZ63txpYKor6elZ+Ds/MJLisjD5DhohApB3RRUZi1mqhnsDS2Lu3eC0bwWAw8P777/P000+TkJBAaWkpw4YNo1+/fk3us1Hv3Ddu3EhQUFCTn0xoXv7THuNvxXeiTfovkheM4E+cXUegm7MDfJpnubLN4mDtkgSs5Q7Cevkx4cYBbeIPxvkqzMrku5efIT/tNDqjkTF3zCc1wsGqrU8TnxXP6ZLTda7pG9BX3R8ZNpIRYSPo4tWleQc1Gg68s4mDuanqjKeE6/PwiGii7764eZ9PaDXp6en1BpYjR44kopn/CNbca9RcS9NbctVAba227L2Z1V7eLNTvTIFNS3xINhtybi7O3Fzk7GycmVkopaVoFBlJVpAURf0aCcnppMLLTMLgwXXGPWLHTvxLion4978x9+nTqICravZOaF36iAj6rFtLYFoaWzdswNdsZsiuXewbOZKSigr6vvUmQd26iUCkHfL29sbHxwc/Pz+G//knu8eMobi4GG9vb08PrV2KjIxstrwxjQosX375ZT7//HP8/f0BeOmll7jnnntciSfy8vIYP358vXuKhJahm/U6JH0FgKTRo7u77h2cplIUhV+XHyQ/vQwvPwMz7o5D2wGSxKQeSuK7V5/FVlqG01vHH2OK+d+Jx+FE9TkaScPAoIGMCBuhfoSOIMAU0KLjKvr5JNpUG2ajAW/FyABHBMnadMqwok2xUrwhBb9Le7ToGISW0Zp/BCVJcs2stXXNHQS3dJB8vqT6Zqva8UdTvp+W5CwspCIpCUtiEpbERCqSEnGkZ9Q9UaPB2KcPprg4TLExmGNjUWSZUzfeRH5goBpY1prdCiooIKiggG7BwZjFkud2Qx8RQVhEBA8OG6buN7/ySsbcfz9Op7PFV0UJLcff35+//e1v6mu6Zg0j7rxTvKZNcM011zBq1CgeffRRt/ZXXnmFnTt38vXXXze6z0a9Aj/99BPWGml8X3jhBa6//npXYOlwOEhOTm70IITz8Oe76mdZAuyw6RWY8I9m6Tp+3SmO7clBo5WYfncc3gFnLjPTVsmKzJGCI+zK2sWBzRvx35iBVpbI9bPy68hUyo1OdBodscGxrkByaOhQfA2+Z++8ucZocVDy62m8MXGjdSwaJCQFBjq7IaOgRUPx+lMisGynxB/B+rXnIDg9PZ2PP/64znm33HILXbt2bTAIE5qHs6QES9IBLEmJVCQmYklMwn667koTJAlDr16uANIUG4tp4EA0Xu7bRCoqlzSbLBZMFRWYy8vpffwEx3v3osLLC1NLJpURWlzN37VV222E9k28pufv999/51//+led9hkzZvDaa681qc/z2mPZHPsoFi9ezKuvvkpmZiZDhgzh7bffZtSoUfWeu2LFCl544QWOHj2K3W6nX79+/P3vf+fWW291ndPQMs1XXnmFRx55BICoqChOnTrldvzFF1/kscceO+/vp1VtegU2/hsmPgGvbYG/j1Mfw3kHlycTctn+vbqv8OIb+9O1j//5jrbV2GU7h/IOufZH7s7eTYm1hKFH/Bl6NACQOB1uoWRKJHO7z2Zk2EgGdxmMWeeZMjrOUhu5yxJdj7WVCYGMZSex+kShrczg4zelp0fGJzQP8UewfasdBDdUdsvLy0ssx2pmclkZloMHXQGkJTERW2Wm1tr0PXtgjqkMIGNjMEVHoz2HfZG6wEAkgwGvigouX70GjSwjAX2OHUPWaNDKMpLBgC4wsHm/OUEQBA8pLS3FYDDUadfr9RQXNyLhZA0efWfz5Zdf8tBDD7FkyRJGjx7NokWLmDZtGsnJyfWWNAkKCuKJJ55g4MCBGAwG1qxZw/z58wkNDWXatGkAZGS4L3tZu3YtCxYs4JprrnFrf/bZZ7nzzjtdj319W292qlnUDCon/EMNLKuCyfMMLguzylm/7AAoEDM+gpjxbXvZj81pIyE3wZVsZ0/2HiocFa7jWqfEpIQweqSbAOhx6Tjum/83jHqTp4bs4ii0krs0AUdOBRpvPebYEMq2Z+A3pSd+b75K8QPvqDOVU3qK2UpBaEPEHp+WIVssWA8doqIygLQkJWI9dhzqqdms79bNFUCaY2PVINK/aTdBq/bjOSprVgLw4IPwxhuuh7rAQLEfTxCEDiMuLo4vv/ySp59+2q39iy++IDo6ukl9NrrcSO0ZwfNJ5PL6669z5513Mn/+fACWLFnCDz/8wLJly+qdPbzkkkvcHj/wwAMsX76cLVu2uALL8PBwt3NWrVrFxIkT6d27t1u7r69vnXPPxGq1ui0DLikpOedrW4TsrA4qa6p6LDdtP5DN4uDHd/djq3DQtY8/42/of54DbX7l9nL25exzBZL7c/Zjk21u5/gZ/BgeNpzh3rE4v9tHUXoKGq2WyXcsJG7S1AZ6bl323Apy/5eAs9CK1t9IyB2x6Lt4EXhVX/WEN8Hv0h4ioBSENkgsbz5/ss2GNfmw23JW65EjUM9+Vl1YGKbYWMyxMZXBZGyzzx7qIyLcA0eTCeopUyEIgtARPPXUU1x99dUcO3aMSZMmAbBhwwY+//zzJu2vBJCURqxn1Wg0zJgxA2NlAeHVq1czadIk1x1aq9XKunXrzinJgc1mw8vLi2+++YbZs2e72ufNm0dhYSGrVq064/WKovDrr78ya9YsVq5cyZQpU+qck5WVRffu3Vm+fDk333yzqz0qKgqLxYLdbqdHjx7cfPPNPPjgg2d8Q/Cvf/2LZ555pk776cmT6d7AkqhWtWMHNLCE+FwpwNrAyzlh7ou3s5Trcj7DWy5vnvGdhxKdzJ4QC7tCLMSHWDgQaMVRa6tSkEXDyFwzI3JNjMgx0a9YT74E3xkUijVgUuAKm0QPuW1ktLUZu5Db8zpknTc6az4hp75C56h1s6IZXlOhDRKva8cjXtOzUhQFq81GhcWCxWLBYrFiqXGztiatVovZZMRkNGEyGTGZTOg9EbCL17XjEa9px9OGXtPUigoif/mF06dP0717y9V7b04//PADL7zwAnv37sVsNjN48GD++c9/MmHChCb116jf1HPnznWbobzlllvqPedc5Obm4nQ6CQsLc2sPCwvj0KFDDV5XVFREt27dsFqtaLVa/u///q/eoBJg+fLl+Pr6cvXVV7u133///QwfPpygoCC2bt3K448/TkZGBq+//nqDz/v444/z0EMPuR6npaWp08QffABt4T/PrFnw/ffn1cWuH05wYvUJNDqJ6Y9OwLvXrGYaXOMUWArYnbWbXVm7iM+KJ7kgGVlxXwYV5hXGyPCRrtIfUX5Rbv83T+yNZ82il7BVVBAQ3pWrHv0XQRFtY0mv9WQRuR8moVic6Lt6E7JgNFqfK+ue2AyvqdAGide14xGvqRvF6cR2/Hj1ctbERCyHDqHUE0hq/f3dsrOaYmPRhYW1jbJW4nXteMRr2vG0pdc0NRWaqWxHa5k5cyYzZ85stv4aFVh++OGHzfbETeXr68vevXspLS1lw4YNPPTQQ/Tu3bvOMlmAZcuWMWfOHEwm9710NQPEwYMHYzAYuPvuu3nxxRdds7G1GY1Gt2NN3dTaVp3Yl8OO1Wq9jQk3DSC8V+sl68kuz3Yta92VuYtjRcfqnNPDt4crY+vI8JFEeEc0+MZjz7rVbPzwfRRFpvugWGb9/f9h9vVr6W/jnFgOF5D38QEUu4whyo+QeTFozGLpnCAI7ZMiy9hOnsKSpAaQFYlJWA4cQKmoqHOuxtcXU0xMjeWscei7Nfy7XBAEQWh5NpuN7Oxs5Fp72Xv0aPxWrEa9o7399tvPeo4kSSxduvSs54WEhKDVasnKynJrz8rKOuPeR41GQ9++6h60oUOHcvDgQV588cU6geXmzZtJTk7myy+/POtYRo8ejcPh4OTJkwwYMOCs53c0BZllrP9ArT0aN6Eb0WNbLjmBoiiklaa5Asn4rHhSSlLqnNc3oG91DcmwEYR61U3mVJvsdLJx+fvs/WkNADETJjPlroVodfpm/z6aojwhh/wvksGpYOwfSPAtg9AY2n6ZBUEQBFB/f9tPn64OIBMTsSQlIZeV1TlX4+WFKTratR/SHBuDvkcPJFFyRRAEoU04cuQIt99+O1u3bnVrVxQFSZKaVL+50TOWPXv2ZNiwYeddasRgMDBixAg2bNjg2mMpyzIbNmzgvvvuO+d+ZFl2S6pTZenSpYwYMYIhQ4actY+9e/ei0WjqzUTb0VkrHPz4bgJ2i5OIfgGMvb5fs/avKAoni0+6lrXGZ8WTWZbpdo6ExMCggepsZNhIhoUNI8gU1KjnsZaX88ObL3NibzwA426ax6grr20zd8LLdmZSsOIIKGAeHELQ9QOQdOINliAIbZOiKDgyMtxKfFQkJSEXFdU5VzKZMA0a5JZcxxAVhdQO6pMKgiB0Vrfddhs6nY41a9bQtWvXZnnP3KjA8i9/+Quff/45J06cYP78+dxyyy0EBTUuAKjpoYceYt68eYwcOZJRo0axaNEiysrKXFli586dS7du3XjxxRcBtdbkyJEj6dOnD1arlR9//JGPP/6Yd999163f4uJivv7663qLe27bto3t27czceJEfH192bZtGw8++CC33HILgZ2sPpUiK/yyLInCrHJ8Ao1MuzMWrfb8gh1ZkTlScMRVQzI+K558S77bOTpJR3RItGt/5LDQYfgaml7upTgnm+9efobc06fQGYzMuO8h+o8ee17fR3Mq+T2Voh/VZcbeo8IJmN0XSdM2Al5BEAQAe1Z2jeWsajDpzM+vc56k12McOLByT2QcpthYjH16I4lsuIIgCO3K3r17iY+PZ+DAgc3WZ6P+EixevJjXX3+dFStWsGzZMh5//HFmzpzJggULmDp1aqMj3RtuuIGcnByefvppMjMzGTp0KOvWrXMl9ElJSUFTY9lMWVkZ9957L6mpqZjNZgYOHMgnn3zCDTfc4NbvF198gaIo3HTTTXWe02g08sUXX/Cvf/0Lq9VKr169ePDBB932XXYWO344wcmEPLQ6DTPuicPLr26R1LNxyA4O5R9y7Y/cnb2bYpv7/lODxsDgLoNd+yMHhwzGS+/VLN9D+uFDrPrP85QXFeIdEMjsR54ivG/bKJGiKArFP5+iZONpAHwmdMd/elSbmUUVBKFzcuTluQWQlsREHDk5dU/U6TD274c5JtZVL9LUrx9SPQW1BUEQhPYlOjqa3NzcZu2zUeVGajt16hQffvghH330EQ6Hg6SkJHx8fJpzfG1WamoqkZGRbSelcCOzYh3fk8Pa9xIAuPS2QQwc0/WcrrM5bSTmJrqWte7J3kO5w70kiVlnZljoMNf+yLiQOAza5n8jcmjr76z7vzdw2u106dmL2f94Gr+QLs3+PE2hyAqFq49Rti0DAL/pUfhd0shMYW0p05nQfMTr2vG04dfUWVhIRVJSZQCZQEViEo6MjLonajQY+/Z1BZDm2FiMAwagaSChXafQhl9XoYnEa9rxtKHXtM3FBmfx66+/8uSTT/LCCy8QFxeHXu+ek8TPr/GJL89r7YpGo0GSJBRFadIGT8Ez8tPL+OVDNVnP4EndzxhUVjgq2JezzxVI7s/Zj9XpvqfVV+/L8LDhrqWtA4MHote0XMIcRVH4c8UXbP3qUwB6D7+Amfc/gsHcPLOg50txyhR8c4TyPdkgQcCVffAZ03IJkQRBEACcJSVYkg5gSaqejbSfPl33REnC0Lu3uh+yajZy4AA0Xm3jd6ggCILQ8iZPngzApZde6tbeasl7AKxWq2sp7JYtW7j88st55513mD59utuyVaFtspbb+fHd/ditTrr1D+Cia/q6HS+xlbA3e69rf2RSbhIOxeF2TpApqLr0R9hI+gb0RatpnSQNDrudn997i4ObNwIwYuaVXHzL7Wha6fnPRrHL5H12EMvBfNBIBF3fH6+hnS8plCAILUsuK8Ny8KDbclbbyZP1nqvv2cN9OWt0NNpOsrpIEARBqN/GjRubvc9GBZb33nsvX3zxBZGRkdx+++18/vnnhISENPughJYhywo/Lz1AUU4FPkFqsp5iexG703azK1MNJJMLkpEV9zo2oV6hrtnIkeEj6eXXyyP7BMuLi1j1n3+TnnwASaPh0tvvYciUy1p9HA2RrQ7ylh/AerwIdBqCbxmEeWDTk1sJgiAAyBYL1kOHXCU+KhITsB07DvXsZNF36+a2nNUUHY3Wv/XqEguCIAjtw4QJE5q9z0YFlkuWLKFHjx707t2bTZs2sWnTpnrPW7FiRbMMri1avHgxixcvxmazeXoojbbj++OkJOUh6RTSx+7g5l//w9HCo3XOi/SNdJuR7ObTzeMJZ/JST/PdK89QlJWJ0cubyx98jKjBwzw6ppqcZXZyP0jEnlqKZNQSMi8aY+8ATw9LEIR2RrbZsCYfdlvOaj1yBOpZkqQLD68OIGPUYFLXybKbC4IgCE23efNm3nvvPY4fP87XX39Nt27d+Pjjj+nVqxfjxo1rdH+NCiznzp3r8QDD0xYuXMjChQtdG3Tbgm3p23hpSiqPpW/jwogL3Y6llaYRnxVP4o5T+G+KAeCXqI85khvvOqe3f2/XjOTwsOGEe4e36vjP5tT+vax+40Ws5WX4h4Zx1aP/JLh7D08Py8VZZCVnaSKO7HI0XjpCbo/F0L3p5VMEQWjb7OnpOAoKqhssFkhKcj3UBQaijzj7vmrFbsd69KjbclbL4cNgt9c5VxscrAaQVctZY2LQd8Lay4IgCELz+Pbbb7n11luZM2cOu3fvxmpVc6gUFRXxwgsv8OOPPza6z0YFlh9++GGjn0BoWYqi8ObuNznuZ+fN3W8S7hVOfHa8K9lORlkGQWVduSrxQQD2df0V7YAybgm7xVVDMtgc7OHvomH71q9lw7J3UWSZiAHRXPnwE3j5tZ1lXY68CnL+l4CzwIrWz0DIHXHoQ0UCDEHoqOzp6RybPgOl9qqVa651fSkZDPRZt9YtuFScTmzHj6vLWRMSqEhKxHrwUN1+AG1AgPty1thYdGFhnf7GriAIQnswceJE9Hq9azKqrXr++edZsmQJc+fO5YsvvnC1jx07lueff75JfYqKxu3c2pNrScpT75Qn5SUxa9Ust+NeDl9mHb0XvWzEO0rilQceIcDcdgKzhsiyk98/WUb8D6sAGDTuEqbefT+6NlQ/zZ5ZRs7SBOQSO7pgEyEL4tAFmTw9LEEQWpCjoKDeYLAmxWajIjGJ8vj4yj2RSVgOHECpqKhzrsbXt9Zy1lj03SJEECkIgtBObdy4sV2UG0lOTubiiy+u0+7v709hYWGT+hSBZTumKArv7XvPrU1CYljoMEaGj2R4l+Fkf2MivbwI32AT1993ASZzy5UBaS42SwU/vPUqx+N3AHDR9XMYc/WNbeqNljWlmNwPklAqHOjDvQhZEIfWt+0EvYIgeFba/ffXadN4eWGKjlZnI+NiMcfGoo+MRBIZ1QVBEIRWFh4eztGjR4mKinJr37JlC717925SnyKwbMe2pm/leNFxtzYFhbsG38XYbmPZuuIo6YdS0Ok1XPaXOEw+bT+oLM7NYeUrz5Jz6gRavZ7pf/kbA8c2f9aq82E5UkDexwdQbDKGHr6E3BaDxqvt/9sKgnD+HPkFZz8JwGDAHBODKTZWrRcZG4shKgpJ2zZKIwmCIAid25133skDDzzAsmXLkCSJ9PR0tm3bxsMPP8xTTz3VpD5FYNlOKYrC23veRiNp3MqDaCQNb+95my7pfdjzcwoAk+YNIqQdJJPJPHaEla8+R1lBPl7+AVz58JNE9B/o6WG5qUjMJe/zQ+BUMPYLIPjWaDQG8UZREDoiZ3GxupR1fwIViQlYEhJxZGWd07VRn3yMefDgFh6hIAiCIDTNY489hizLXHrppZSXl3PxxRdjNBp5+OGH+etf/9qkPkVg2U5tTd/q2ltZk6zIZKYU8Mu6AwAMm9qDfiPDWnt4jXZk+1Z+fOc1HDYrwd17cNWj/8Q/tG2Nu2xXFgXfHgYFzDHBBN00EEknlrAJQkcgWyxYDhzEkphAxf4ELAkJ2E6dqnuiJNVbP7IOMTMpCIIgtFFOp5M//viDhQsX8sgjj3D06FFKS0uJjo7Gx8enyf2KwLIdqpqtlJBQUOiTO5SxJ69hS69vSfM7zLTkO1AcEDkokDGz+3h6uGekKAo7Vn3Dls+XAxA1dASXP/AoRq+2lVm1ZEsaRWvUZcdeI8IIvLofkrbt7PkUBOHcKQ4H1iNHqEhQZyErEhIarBWpj4zEHBeLKW4w5rhYQOLULbe0/qAFQRAEoZlotVqmTp3KwYMHCQgIIDo6uln6FYFlO2SX7WSWZaKgYLL7cPHxGzA4zUw4dgN5Xun4WYMpNeVzyfzRaDRtN/hxOuysf38xSb/9AsDQaZczcd6daNrQnX5FUSjZkELxL+qyYp9x3fC/rBdSG/53FQShmqIo2E+doiIhwRVIWg4eRLFY6pyr7RKCOTZOTawTNxhTbAy6wEC3cyqS6q4UEQRBEIT2JjY2luPHj9OrV69m61MElu2QQWvgi8u/IK8ij8TPCsmV1YKmRqcXESV90RokZt83Ej8/bw+PtGEVJcV8//oLpB5IRJI0XDLvTobPuMLTw3KjyApFPxyn9I90APym9MR3UmSbyk4rCII7e1aWWidyf4K6rDUxCbm4uM551WU+KgPJwYPPqVakLjAQyWA4Y8kRyWCoE5AKgiAIQlvy/PPP8/DDD/Pcc88xmwgUrQABAABJREFUYsQIvL3d4wY/P79G9ykCy3Yq3DuckoMSuQfqJpKIHd+dAX2jWn9Q5yg/PY2VrzxDQUY6BrOZmQ/8g97DLvD0sNwoToWCFUcoj1f/fQOu6I3P2G4eHpUgCDU5CwvVGpE19kU6cnLqnCcZDGqZj7g4dVlrbByGqJ5NKvOhj4igz7q1OApqZId98EF44w3XQ11gIPqIiCZ9T4IgCILQGi677DIAZs2a5XZTVVEUJEnCWc/2kLMRgWUjLV68mMWLF2M7S4HsllZebOO3T5PrPXZoWwbDp/XEy6/t1VU8nbSf7197AUtZKb4hXbjq0X/SpUeUp4flRnHI5H1+CEtSHmgg8Jr+eI9oW4mEBKGzkSsqsBw44LYv0p6SUvdErRZj376YB8dhilUDSWO/fkj65isJpI+IcA8cTSaIiWm2/gVBEAShpW3cuLHZ+xSBZSMtXLiQhQsXkpqaSmRkpEfGoCgKmz47hN3qqPe4zeJg0+fJzLg7rpVHdmYJG3/ml/cXIzuddO07gCsfeRLvgLa1XEy2Osn7+ADWo4WglQi+eRDmmGBPD0sQOhXFbsdy+LAaQFaW+bAePVp/cp2ePTDHxqmBZFwcpkGD0JjNHhi1IAiCILQfEyY0f514EVi2Q/npZRzfm9vgcUWG43tyyEsvJTii6SmDm4siy2z+fDk7v/8WgP4Xjmf6vX9DbzB6eGTu5HI7uR8mYUspQTJoCJ4bg6lvgKeHJQgdmiLL2E6eclvOajl0CMVqrXOuLjTUbTmrOTYGbUBA6w9aEARBEDqAzZs3895773H8+HG+/vprunXrxscff0yvXr0YN25co/sTgWU7FBThTe+hIZzYn4si1z0uaaDXkC5tIqi0Wyz8+M5rHN25DYAxV9/ARdfNadLeppbkLLaRszQBR1Y5Gi8dIfNjMUT6enpYgtChKIqCIzPTbTmrJSkJuaSkzrkaPz/MsbHVgWRcHPowsSRdEARBEJrDt99+y6233sqcOXPYvXs31sobukVFRbzwwgv8+OOPje5TBJbtkCRJTLh5IKnJf2KrqLsc1mDSMeGmAR4YmbvS/DxWvvocWcePotXpmHr3/URfPMnTw6rDkW8hZ2kCzjwLGl8DXRbEog9vuxl1BaG9cBQUYElMdAsknbl1V1tIJhOmQYPc9kXqe/YUGZgFQRAEoYU8//zzLFmyhLlz5/LFF1+42seOHcvzzz/fpD5FYNlOefkZuGTOAH7+X92aahNuHuDxxD1ZJ46x8pVnKc3Pw+Trx5UPP0H3gW0vuYU9q4ycpYnIxTa0QSa6LIhFFyz2ZwlCY8llZZXJdRLVZa0JidhPn657olaLsX9/dTZycBzmuDiMffsi6cSfI0EQBEFoLcnJyVx88cV12v39/SksLGxSn+IveTvWd0QoR3dluZbEVi2B7TfSs8vFju7azo9vvYrdaiEoojtXPfpPAsK7enRM9bGdLiH3g0Tkcge6MC+6LIhF69e29n0KQluk2GxYDh/BkrBfDSQTErAeOwZy3bX5hqgot+WspkGD0JhMHhi1IAiCIAhVwsPDOXr0KFFRUW7tW7ZsoXfv3k3qUwSW7ZjbkthyOwaT3qNLYBVFIX7Nd2z69ANQFHrEDuGKhx7H5O35vZ61WY4Vkrf8AIrNiT7Sl5DbYtB6N185AkHoKBRZxnbihNtyVuuhQyj1lFzShYW5LWc1xcaibUKBZUEQBEEQWtadd97JAw88wLJly5AkifT0dLZt28bDDz/MU0891aQ+RWDZzlUtid3y3g7GzxntsSWwToeDX5ctYf+GdQAMvnQ6k26/B20bXN5WcSCPvM8OgkPB2Mef4LnRaIxtb5yC0NoURcGRnu62nNWSmIhcVlbnXI2/v9tyVlNsLPrQUA+MWhAEQRCExnrssceQZZlLL72U8vJyLr74YoxGIw8//DB//etfm9SneDfdAfQbGUa/Z9+HEVd45PktpaWsfuNFUhL3gSQx4ZbbGTFzdptMvFG2J5uCr5NBBlN0MME3DUTSt60MtYLQWhz5+VgSElzLWSsSE3Hm5dU5TzKbMUVHuwWS+sjINvkzLgiCIAhC/fbv309sbCwajQZJknjiiSd45JFHOHr0KKWlpURHR+Pj0/SVhiKwFM5LYWYG3738DPnpqeiNJi67/xH6jhzt6WHVq3RbOoWrjgHgNSyUwGv7I2nFG2Ohc3CWlmE5kOQWSNrT0uqeqNNh6t+/xr7IwRj79BbJdQRBEAShnRs2bBgZGRmEhobSu3dvdu7cSXBwMNHR0c3Sv3in0EiLFy9m8eLF2OrZX9TZpB5MZNVrL2ApKcYnKJirHv0noVFN2+zbkhRFoWTjaYp/PgWA94VdCbiiD5JGBJVCxyTbbFiTk2vsi9yP7dhxUJQ65xp6967cD6kGksZBg9AYRRIrQRAEQehoAgICOHHiBKGhoZw8eRK5nqR750MElo20cOFCFi5cSGpqKpGRkZ4ejscc+P1Xfn7vLZwOB2G9+zL7kafwCQr29LDqUBSFoh9PULpZnZnxnRSJ3xRRH0/oOBSnE9vx4277Iq2HDqHY7XXO1XXtqu6HjItVP8fEoPX19cCoBUEQBEFobddccw0TJkyga9euSJLEyJEj0Wq19Z57/PjxRvcvAkuhURRZ5o+vPmX7d18C0G/URcxY+BD6Nlg+QJEVClYcoXxXFgD+M3vjO76bh0cldDb29HQcBQXVDRYLJFXXn9UFBqKPiDinvhRFwZ6W7lbmw5KUhFxeXudcbUCAW5kPc1wcupCQ8/5+BEEQBEFon/773/9y9dVXc/ToUe6//37uvPNOfJvxBrMILIVzZrdZWfd/izi8bTMAF1x5LeNvnIukaXvJbxSHTP6XyVQk5IIEgVf3w/uCcE8PS+hk7OnpHJs+o25pjmuudX0pGQz0Wbe23uDSkZenLmfdn0BForqs1VkzSK3qw8sLc3R0dSA5eDD6bt3EzLwgCIIgCG6mT58OQHx8PA888IAILIXWV1ZYwMpXnyPz6GE0Wi1T7ryP2IlTPD2sesk2J3kfH8B6pBC0EkE3DsQrTszUCK3PUVBQb73HmhSbDUdBARo/PyyJSepy1spA0pGeUfcCvR7TgAHqctZYdVmrsU8fpAaWsgiCIAiCINT2wQcfNHufIrAUzion5STfvfwMJbk5mLx9mPX3/0dkzGBPD6tecoWD3A+TsJ0qRtJrCL41GlP/QE8PSxDOKPWBv+FIS6ubXEeSKpPrVO+LNA4ciMbgmXq1giAIgiB0DGVlZbz00kts2LCB7OzsOol8xB5Lodkd37OTNYtewW6pILBrBLP/8U+CItrmPkVniY3cZYnYM8qQTDpC5sdg7Onn6WEJwlk5UlMB0EdEqMtZB8dhio3DFBON9jzqSQmCIAiCINTnjjvuYNOmTdx6662uZD7nSwSWQoN2r13Nb8vfR1FkukfHMuvvT2D2aZsZJB0FFnKXJuLIrUDjoydkQRyGrt6eHpbQychWK9bDR7AkJWFJSqI8Pv6crgv9f4/jP3MmuuC2l1lZEARBEISOZ+3atfzwww+MHTu22foUgaVQh+x0snH5f9n70w8AxFwymSl3LkSr03t4ZPWzZ5eTuzQBZ5ENbYCRkDvi0IeYPT0soYOTLRa1VmRlEGk5cBDrkSPgcDS6L68RI0RQKQiCIAhCqwkMDCQoKKhZ+xSBpeDGWl7Gmjdf4eRedaZl/M23ccGsa9psdklbWim5yxKQyxzoupgJuSMOnb8o7i40L7m8HMuh5MoA8gCWpCSsx46B01nnXG1AAKaYGEwxMWh8fcl57TUPjFgQBEEQBKFhzz33HE8//TTLly/Hy8urWfoUgaXgUpSdxXcvP0Neago6g5HL7vs7/UZf5OlhNch6oojcD5NQrE703XwImR+D1kckNRHOj7O0DOuhg64gsiIpCdvxE1BrUzuANjgYU0y0GkhGR2OOiUFXY59CRVISOSKuFARBEAShjXnttdc4duwYYWFhREVFode7r0zcvXt3o/sUgWUjLV68mMWLF2M7SwmB9ib98EFW/efflBcV4h0YxOxHniK8Tz9PD6tBFYfyyfvkIDhkDL38CJkXg8Yk/jsLjeMsKcFy4KDbTKTt5Mm62VkBXZcurpnIqmBSFxp6xtl8XWAgksFwxpIjksGALlBkLhYEQRAEofXMnj272fsU78QbaeHChSxcuJDU1FQiIyM9PZxmceiPTax7dxFOu50uUb256h9P4xvcdus+lu/LIf/LZJAVTAODCJ4zEEkvavgJZ+YsKlKDx8oAsiIpCfuplHrP1YWHV85CDnLNRupDQxv9nPqICPqsW4ujoKC68cEH4Y03qp8rMBB9RESj+xYEQRAEQWiqf/7zn83epwgsOzFFUfjz2y/Y+vWnAPQeMYqZ9z+CwdR2E9+Ubs+gcOVRUMA8tAtB1/VH0mo8PSyhjXEUFGBJqg4iLQcOYD99ut5z9RER1ctZK4PI5kyko4+IcA8cTSaIiWm2/gVBEARBENoCEVh2Ug6bjZ/fe4uDW34DYMTM2Vx8y3w0mrY781f822mK150EwHtMVwJm9UHStM2kQkLrceTlVQeQSUlYkg5gT0+v91x9ZCSm6Ojq5azR0WIZqiAIgiAInUZgYOA5JeXMz89vdN8isOyEyouLWPXq86QfPoik0TB5wb0Mnjzd08NqkKIoFP90kpLf1CLyvpdE4jetZ5vNVCu0HHt2do0gUp2RdGRm1nuuvmcPzDVmIU3R0Wj9/Vt5xIIgCIIgCG3HokWLWqxvEVh2MnmpKXz38jMUZWdh9PLmigcfp+fgoZ4eVoMUWaFw1VHKtqvBg/+MKHwndIy9rULDFEXBkZ2tBpCJ1Yl1HDk5dU+WJAxRUdUBZOXeSK2vb+sPXBAEQRAEoQ2bN29ei/UtAstO5OT+Pax+/UVsFeX4h4Vz1T/+SXD3thukKU6Z/K8OU7EvByQImN0Xn9FdPT0soZkpioIjI4OKqqWsBw5gSTqAMy+v7skaDYbevdSZyMog0jhwEFof79YfuCAIgiAIguDi8cBy8eLFvPrqq2RmZjJkyBDefvttRo0aVe+5K1as4IUXXuDo0aPY7Xb69evH3//+d2699VbXObfddhvLly93u27atGmsW7fO9Tg/P5+//vWvrF69Go1GwzXXXMObb76Jj49Py3yTbcC+9T+yYdkSFFmm28BoZv39Cbz82u6yQNnmJP/Tg1iSC0AjEXTDALyGdPH0sITzpCgK9rQ0t1lIy4EDOGtmTa2i1WLs06fGnsgYTAMHoGmmIr6CIAiCIAhC8/FoYPnll1/y0EMPsWTJEkaPHs2iRYuYNm0aycnJhNaT2j8oKIgnnniCgQMHYjAYWLNmDfPnzyc0NJRp06a5zps+fToffPCB67HRaHTrZ86cOWRkZLB+/Xrsdjvz58/nrrvu4rPPPmu5b9ZDZNnJpo+XsfvHVQAMGj+RqXffj65WEdS2RLY4yP0wCdvJYqT/z955xzlRrX/4mUnfku290DtIb4JSFbCgYkG8NkBUxIr3eu3lJ170Wq6KKDbs13IVsWEFG1JEikoRpbO992zazO+PSSbJbgILIks5z4eQmcw7JyeZTXK+533P+5pkEi/uhq1LYmt3S3CAqKqKe88eXTw6Nm2icfMWlOrq5sZGI5ZOnfTyHrbu3bF06YJsO3IzFAsEAoFAIBAIArSqsHzssceYMWMGU6dOBWDBggV88sknLFy4kFtvvbWZ/ciRI0P2b7jhBl555RWWL18eIiwtFgvp6elhn3PLli189tlnrFmzhgEDBgAwb948TjvtNB555BEyj6F6ci5HA588+TA71q0BYNgFFzN40uQjOumNt85F2UubcOfXIVkMJF/eA0u7I9ezKtBQFQXXrt2h2Vm3bEGprW1ubDJh7dQp4IXs0R1L587ITSaABAKBQCAQCARHD60mLF0uF2vXruW2227TH5NlmbFjx7Jy5cr9nq+qKsuWLWPr1q089NBDIce++eYbUlNTSUhIYPTo0cyZM4ckX126lStXEh8fr4tKgLFjxyLLMqtXr+acc84J+3xOpxOn06nv14YbMB9B1JSVsvih+yjdswujycz4WTfRZehJrd2tfeKpclL24q94Sh3I0SaSp/XEnHXshicfraheL66dO3UR6di0CefmLSgNDc1sJbMZS5cuemkPa48eWDt1QjKbW6HnAoFAIBAIBIK/ilYTlmVlZXi9XtLS0kIeT0tL47fffot4XnV1NVlZWTidTgwGA08//TSnnHKKfnz8+PFMmjSJdu3asX37dm6//XYmTJjAypUrMRgMFBUVNQuzNRqNJCYmUhShbAHA3Llzue+++5ofmDoVWjlcr0ZScWzehO2sM7GrEkWSymKLSr0EUSqcXesmY+7DwMOt2s994TbHU5Z7AV5zHAZ3Dck/v4NpZph1d8cTP/4IEye2ahdUVcXpctHY6KTR2ei7d6KqajNbSZKwWizazWrBarViMZuRnI2wbp12ExwR11VwiBHX9NhEXNdjD3FNjz2OpGvqcLR2Dw4Ir9fLyy+/zNKlSykpKUFRlJDjy5YtO+A2Wz15z4ESGxvLhg0bqKurY+nSpcyePZv27dvrYbIXXnihbturVy9OOOEEOnTowDfffMOYMWMO+nlvu+02Zs+ere/n5+fTvXt3eOklyM4+6Hb/LDVlJSy88Sq8/btjMBkZeekVfPvaQjwuJ8k5bTjnn/dgT2m+XvVIwlVQR9nCjSh1bozJNpKvGIgx/vTW7lbrM3EifPjhYXs61e3GuX17IJR102Yat25FbWxsZivZbFi7dQtKrNMdS/v2SMaj7ivl8HOYr6vgMCCu6bGJuK7HHuKaHnscSdc0Lw9yjtxqC0254YYbePnllzn99NPp2bPnIVkq12qjwOTkZAwGA8XFxSGPFxcXR1wfCVq4bMeOHQHo06cPW7ZsYe7cuc3WX/pp3749ycnJbNu2jTFjxpCenk5JSUmIjcfjoaKiYp/Pa7FYQpIA1dTU7O8lHhYcNTV43W4AvG43S198BoB2ffpz+g3/xHKEZ9B07qqm7OVNqI1eTBnRJE/viSFGhEn+1aguF41//BFS3sO5dSuqy9XMVo6KwtK9m1biw1fmw9yuHZLB0Ao9FwgEAoFAIBD8Wd566y3eeecdTjvttEPWZqsJS7PZTP/+/Vm6dClnn302AIqisHTpUq699toWt6MoSsjax6bk5eVRXl5ORoZW/3Do0KFUVVWxdu1a+vfvD2iuXkVRGDx48MG/oMNMTVkJjpoaKvL3NjvWZehJDJ9y2REvKht/r6T8tc2obgVzGzvJl/dAtgmP16FGcTpx/v57wAu5aRONf/wBvgmJYOSYmNDyHt27Y27bBkmWW6HnAoFAIBAIBIK/ArPZrDvrDhWtOoqfPXs2l112GQMGDGDQoEE8/vjj1NfX61liL730UrKyspg7dy6grXMcMGAAHTp0wOl0smTJEl577TWeeUbz0tXV1XHfffdx7rnnkp6ezvbt27nlllvo2LGjnjW2W7dujB8/nhkzZrBgwQLcbjfXXnstF1544VGTEVYPfw0jDAC2rvyebT+tYtrjz2JPPjLDYBt+LaXira3gVbF0TiDp4m7I5uPbA+YuKMATXM+xsRE2bdJ3jQkJmPbzN6o0NuL87TdfaQ+fJ3LbNvB4mtnKcXFY/Z5In5g05eQIESkQCAQCgUBwjHPzzTfzxBNP8NRTTx2yihGtKiwnT55MaWkpd999N0VFRfTp04fPPvtMT+izZ88e5KBBbn19Pddccw15eXnYbDa6du3K66+/zuTJkwEwGAz88ssvvPLKK1RVVZGZmcmpp57K/fffHxLG+sYbb3DttdcyZswYZFnm3HPP5cknnzy8L/5PEBz+Ggmv242jpuaIFJb1a4qoXPQHqGDrlUzi5C5IxuNbzLgLCtg+fkLzUNRzz9M3JbOZDp99qotLpaGBxt9+C3ghN23CuWMHeL3N2jfEx+seSGuPHlh79sCUlXVEl54RCAQCgUAgEPw1LF++nK+//ppPP/2UHj16YGpS437RokUH3Garxx1ee+21EUNfv/nmm5D9OXPmMGfOnIht2Ww2Pv/88/0+Z2JiIv/9738PqJ9HEja7HYPJFBCXkgSqiiRJerZOg8mEzW5vxV6Gp/a7PKqX7AQgemA68ed0RJKFuPFUVoZd3xiM6nJR8dpreMrLady8GdeOndAkgxeAISkppLyHrUcPjBkZQkQKBAKBQCAQCACIj4+PWGbxYGl1YSk4cOzJqUx7/Fl9jeWSpx4FtNIQp117M4lZOdjs9iPKW6mqKjVf7Kb2a21NaMzJ2cRNaCvEzgFS8dLLIfvGlJSAJ7Kndm9MSxPvq0AgEAgEAoEgIi+99NIhb1MIy6MUe3JqWOGYmJVDWvtDuxD3z6IqKlUfbad+ZSEA9nFtiR2ZLcTPQWAbOJDoIYN1MWlKPXImDwQCgUAgEAgExy9CWB7lBIfFHonhr6pXofLdP2hYXwISxJ/VgZghR0eSpCORtFv/ia1Hj9buhkAgEAgEAoHgKOfdd9/lnXfeYc+ePbiaLMlat27dAbd3fGdMOQbwh8Ve3CgdcVlgVbdC+etbNFEpQ+LkLkJUCgQCgUAgEAgErcyTTz7J1KlTSUtLY/369QwaNIikpCR27NjBhAkTDqpNISwPkPnz59O9e3dGjhzZ2l3RsSenkqZKR5SoVJweyl7aSOOWCjBKJF3cnag+R07/jjjczcuBCAQCgUAgEAgEfwVPP/00zz33HPPmzcNsNnPLLbfw5Zdfcv3111NdXX1QbQpheYDMmjWLzZs3N8tYKwjgrXdT+vyvOHdUI5kNJE/tia17Umt364hFVRRKn3qqtbshEAgEAoFAIDhO2LNnDyeeeCKgVdaora0F4JJLLuHNN988qDaFsBQcUrzVTkqf/QV3Xh1ylJGUK3th7RDf2t06YlFVleIH/kX98uX7tZXMZowJCYehVwKBQCAQCASCg2HUqFF0796d+fPnt3ZX9kl6ejoVFRUA5ObmsmrVKgB27typly88UETyHsEhw1PuoPTFjXgrGpHtZlKm98SUFt3a3TqiKXv6aSrfeAMkidTbbyeqX9/AwZtugv/8R981JiRgyhRrVAUCgUAgEAiOVL7++muys7Nbuxv7ZfTo0Xz44Yf07duXqVOnctNNN/Huu+/y008/MWnSpINqUwhLwSHBXVRP6Yu/otS6MSRZSZneC2OitbW7dURT8d//UjZPC4FNu+MOEi/+W6iB1QoiA6xAIBAIBAKB4BDz3HPPoSgKoC31S0pKYsWKFUycOJGrrrrqoNoUwlLwp3HuqaHspU2oDg+m9CiSp/XCYDe3dreOaKo/+YTi++cAkDxrVnNRKRAIBAKBQCAQ/EXIsowsB1ZFXnjhhVx44YV/rs0/2ynB8U3jtkrKXvgV1eHBnBtLypUnCFG5H+q+/56Cf94KqkrCRReRfO2s1u6SQCAQCAQCgeA44/vvv+fiiy9m6NCh5OfnA/Daa6+xvAW5P8IhhKXgoHFsLNM8lS4FS8d4kqf3Qo4ytXa3jmga1q8n7/obwOPBftpppN15B5IktXa3BAKBQCAQCATHEe+99x7jxo3DZrOxfv16nE4nANXV1fzrX/86qDaFsBQcFPVriyl/Ywt4VWw9kki+vAeyxdDa3Tqicf7xB3uvnonqcBA9fDiZD85FksVHUCAQCAQCgUBweJkzZw4LFizg+eefx2QKOIaGDRvGunXrDqpNscZScMDU/pBP9Uc7AIjqn0bCpE5IBuF12xeuvHz2TL8CpboaW+/eZD/5BJJZhAwLBAKBQCAQCA4/W7du5eSTT272eFxcHFVVVQfVpnCXCFqMqqrUfLVbF5UxwzJJOFeIyv3hKS9n7/TpeEpKsHTqSM6zC5Cjolq7WwKBQCAQCASC45T09HS2bdvW7PHly5fTvn37g2pTCMsDZP78+XTv3p2RI0e2dlcOK6qiUv3xDmq+2gOAfWwucWe0R5KFqNwX3ro69syYgWv3bkyZmeS88AKG+PjW7pZAIBAIBAKB4DhmxowZ3HDDDaxevRpJkigoKOCNN97g73//OzNnzjyoNkUo7AEya9YsZs2aRV5eHjk5Oa3dncOC6lWpXPQHDWuLAYg7sz2xw7JauVdHPorTSd7Ma3Bu3oIhMZHchS9iSktr7W4JBAKBQCAQCI5zbr31VhRFYcyYMTQ0NHDyySdjsVj4+9//znXXXXdQbQphKdgnqkeh/M3faNxUDjIknNuZ6P5CHO0P1eMh/+abaVizBjk6mpznn8Pctm1rd0sgEAgEAoFAIECSJO644w7+8Y9/sG3bNurq6ujevTsxMTEH3aYQloKIKE4v5a9txrmtCgwSSRd1xdYjubW7dcSjqiqF99xD3VdLkcxmsp9+GluPHq3dLYFAIBAIBAKBIASz2Uz37t0PSVtCWArCojS4KXt5E649tUhmmaRLu2PtmNDa3ToqKH30UarfWwSyTNZjjxI9eFBrd0kgEAgEAoFAIGDatGktslu4cOEBty2EpaAZ3hoXpS/+iqe4AclmJHlqDyy59tbu1lFB+QsvUP7CiwBk3H8/sWPHtnKPBAKBQCAQCAQCjZdffpk2bdrQt29fVFU9pG0LYSkIwVPRSOmLv+Itb0SONZMyvSem9OjW7tZRQdV771HyyKMApP7j78SfO6mVeyQQCAQCgUAgEASYOXMmb775Jjt37mTq1KlcfPHFJCYmHpK2RbkRgY67uJ6SBT/jLW/EkGgl9eoThKhsIbVffUXhXXcDkHTFdJKmT2/lHgkEAoFAIBAIBKHMnz+fwsJCbrnlFj766CNycnK44IIL+Pzzz/+0B1MISwEArr21lD77C0qNC2NqFKlXnYAxydba3ToqqF+1mvzZN4OiEHfuJFJuvrm1uyQQCAQCgUAgEITFYrEwZcoUvvzySzZv3kyPHj245ppraNu2LXV1dQfdrgiFFdC4vYryVzajuryYsmNIntoTQ7Sptbt1VODYtIm8WbNQXS5ixo4h4777kCTpoNpyFxTgqawMPNDYCJs26bvGhARMmZl/tssCgUAgEAgERyVirHTokWUZSZJQVRWv1/un2hLC8jjHsbmc8v9uAY+KpX0cSZd1R7aIP4uW4Ny5k70zrkSprydq0CCyHn0UyXhw7527oIDt4yegulyhB849T9+UzGY6fPap+MIUCASCvwAxYD32ENf02EKMlQ4dTqeTRYsWsXDhQpYvX84ZZ5zBU089xfjx45Hlgw9oFQriAJk/fz7z58/H1fSP+iikYX0JFf/bCgpYuyWSdFE3JJOIjm4J7uJi9kyfjreiAmv37mQ/PR/ZYjno9jyVlc2/KJugulx4KivFl6VAIBAcYsSA9dhDXNNjDzFWOjRcc801vPXWW+Tk5DBt2jTefPNNkpMPTZ16ISwPkFmzZjFr1izy8vLIyclp7e4cNHUrC6j6cDuoENU3lYTzOiEZhKhsCd6qKvZMn46noBBzmzbkPP8chpiY1u6WQCAQCA4SMWA99hDXVCAIz4IFC8jNzaV9+/Z8++23fPvtt2HtFi1adMBtC2F5nKGqKrXf7KXm890ARA/NIP7MDkjywa0LPN5Q6uvZc9VVuLZtx5iaSu7CFzEmJR2258+74UaMcXFIViuyxaLdWy2kXH895rZtAWhYt56G1auQLFYkqwVZv7cgWazYevXEEB8PgLeuDqW+Xm9LslgOeo2oIDwiFEsgaF1UVUV1u1EdDmSbDclsBsBdUoJr+3YURyPObX+0qK2qt9+hLjW12eOxY0Zj7dYN0JZJ1HyyJGIbMSNOxtarFwCuvHyqFy+OaBt94lCi+vXT+ltcTNX/3o1oGzVwINGDBwHgKS+n8s23Itra+vYhZtgwALw1NVS8+lpk2149iRkxAgCloYHyhS9FtLV27aLXb1ZdLsqeez6iraVjB+zjx+v7pU/Nj2hrbtOGuDPP0PfLFixA9YRfC2bKzCR+0jkR29oXZc8/j1JTA6qqZcdUVFC1mzElmaQrrgjpg6e0TDuOz15VQQVDfDypN90YsH3mGVx5eaCit6c9h4IhJob0u+8OvA/z5+Pavt3XXqi9ZLGQ9cjDAdun5tO4aVOgPQJ9AMh9/rmQdhvW/BTSnn4OkLtwIbLvs1H69NPUf/udrz2anZP70kIMcXH6+1Cz5NMm74PvSVWV3JdewpSmfWbKnnueqnffDd8HFdq8tFAfy5S/+CLlL78c8vyqx3NQ11UQyqWXXvqXjfWEsDyOUFWV6k93UvddPgCxo3Own9JGCIkWorpc5F1/A40//4IcF0fuiy9gyso6rH3w5OXhyctr9nhiUHmThjVrKH3iyYhttHntVaIGDgSg+v3FFD/wQMhxyWzWhWvmww8TPWQwAHXff0/Fy6/4jpmbCde4M87A0rEjoA2WHBs2IFs1MStbA8JVtlgwpqQgR0X96ffjSEeEYh2biMmCQ4fq9aI4GlEbHSiNjagO7d7Svj1ytFbuqnHr7zg2bNBsHI0ojQ5UR6Nm3+gg6aqrsLRvD0D1x59QtuCZwHFfeygKADnPP0fMSScBUP/ddxTeedcB9bfqnXfCPm7KzNSFpWv3bsqeeipiG4bEBF1YuvPz92kr26y6sPQUF+/TNnnWLF1Yeisq9mmbOH1akLCs3adtwkVTAsLS4dinbdzZZweEpcezT9vY8eNDhOW+bKNHnNxEWD6L2tgY1jZq4MCDFpaVb76Jp6Aw7DFzxw4hwrL6w49w7dgR1taUmRkiLGu/WqoJwDAYEhNDhGXDylU0/PRTWFvJFpqt3/Hzz9R//31Y26Y4t/5Ow6pVkQ2Ckra4d+/B8fPPEU3VYNuiIpy//x65XY878BSVlbj37IncbpBwVOrr8ZaWRW5XcNC8/PLLf1nbQlgeJ6iKStX726hfUwRA3OntiD0pu5V7dfSger0U3Hor9T/8gGSzkfvsAiydOh2y9j0lpS2yS7/3Hozp6aiNTlSX0zewcoYMYq1duxB//nkojU5UpxPFqdmojY0oTiey3R70ujxgMIT8oKguF6rLhdLkud15edT/8EPEvtlOOEEXlo61P1Hwz1sj2mY+/LA+SKhdupT82TeHemGDhGvSFVcQO3IkAM5t26h44w1NzFosunD1C1xb3z76ANNbV4drx44QYat7Zs1mpD+xOL2liFCsY4/jbbJAqa/HW1uL4nBo3yFBIlBxOIgZMRJDjCYA65b/QP3KFSGiL1gIZv77Icy5uYDmuSibNw/V7Q77vG3fehNbnz4A1K9YQclDD0XsY9xZZ+mfe6W+Hte27ZFfj8OhbxsSk7B06qQN1r3eiAP/YGJOPQVjmELi5nZt9W1TRibxF06O2Ib/exLAmJqyb9suXUP6uy9ba88e+rZsj9unra1374BtdNS+bfv317cli3U/7fYJ7BiN++5v9+4h+/t8H5r83safdx6qJ/zfjrlN24jt7I/4885Dqa4BSQq6gSRJGJJC16AlXHghnsoK3+R8qL0h1h5qe9FFeMrKQtrDd55ks4baXnIJsaeeGtIekqSd0yRBYOKllxB76ikh7QWfp6qq7jxIvOxSX7tBzx90jmQKVANI8LUbOB7UB0lCDlr+k3jJJdiD+0tQvwFD0Nq9hL/9jdhTTmneB18fTdmBcWnClCmB98HXB9f2HeTfdFMLr6agNRDC8jhA9ShUvL0Vx69lIEHCpE5ED0xv7W4dNaiqSvEDD2ihHiYT2U8+qQ94/nTbikLV229T/NC/W2Rv7dULW48e+7SJGTFCn13eH0mXX07S5Zejejw+IdqoC1DV6cSUk6vbRg0ZQuZDD+p2ik+sagLXqQ8YQZuBjRo8OKStYIErRwVmXZUGB6rfJkwfvecFBuyuPXup2kd4V9rdd+kDzMaNm9hz+eURbVP/8Q+Spk/TbH//nYKbbw71wgYJ19hTTiF29ChAE4vV7y8OaydbLZiysgKCQgn3igRHM0fCZIH2eW1Ejo7WB42u3btxFxWHirkgIZg4dSqyVRvAVr37LnXfftvc++fz7rV7/309dK30ySepeOXViH1pv+QTDDHaZ86xbi0VLy6MaOutrta3JYPcTFRKNhuy1Ypks4YU6Ta3bUPMmDH6MdlqQ7ZZfUsBbJiCvntiRo4g9+WXfceD7PxtBw2eY0eP0j/Xjk2b2BU0ORCJ5Kuu2u93sLVLZzLuvXe/bQFY2rVrsa05O6vFtqa01BbbGhMSWmxriIlusa1sNrfYFjgg2/Q772ix7YGQcs01LbZNvPSSFtvGnzupxbb2cae22NbvfW8JUUETBPvD1qMH7Ofv3I+lQwcsHTq0yNacnYU5u2WRXsaUFIwpKSGPRZqIEhw5CGF5jKO4vJS/vgXn75VgkEi8sAtRvVL2f6JAp+yp+VT+902QJDIfnEvMScMPWdvFcx6g8r//PWTtHSyS0Yghxgg+z0M4LO3aYWnXrkXtxZx0Uot/8GLHjqHDV1+hunxeVV24NqI6nXrIGGgDzORZswLCVr/XhKs5OKGWLGHMzAh4a10uCAqzCR5gKjU1OP/YFrGP5jZtAsKysJCSf0eeCEiaMYPUm2drtsXFLXoPANzFJeyaPBlkCUmSwWDQRIMsg0HGPn4CKdfOAsBbW8ueadMj2kYPPZHkK2cA2g9x3o03aeuoJRlkWduWDSBL2Hr2ChkgFfprseq22j2yhKV9e+LPPVe3LXvuefB6ArYG2bctYUpPDwlzq/7oI1SnU39eSdZsJYOMHBenh+UB1K9ajepy6m1JBoNmK0tIUVEhA3vntm2a0DMYtBl1WQbZoNmaTCHh6p7KSu1vINjW/94ZDLrwOhR4Sktx7tiB6nTqIZL+1+bauyeiVy9j7r90sVjyn8ep++YbzVvoE31KYyP4Bldd1q1F8oWUlz37HNX7SLQQd+65+utr/G0rtV9+FdFWdTTo25LVBiYTstXqE3a2EIEnGQy6ra1vP03A+kVdEyEY/PmMP/987Kedpou+fa3vjh01ithRoyL2NxhTWhqmtLQW2QoEAoHg0CKE5TGM4vBQ9vImXLtrkEwySZd0x9o5obW7dVRR8drrlM3XEgqk330Xcaeffkjbj598AdUff0zipZdS/txz+/SESGYzxoRj7/rJNluLZzAt7duTct21LbKNHjSITsuWhTwW7JkNFhGWzp3JfWmh5l0NEazafdTAAYH+xsRgn3gmamOTMGOXC7WxMWSGVXEdwOyqx42nqCjy4bJAuLTq8dD4668RbU1ByUVUj4e6pUsj2qqNzhBhuS+PcPRJJ4UKywULUBsawtraBvQPEZbFDz6Et7w8rK21e/cQYVl4xx248/PD2prbt6fDkk/0/fybZuP8I3ziFWNGBp2+DvwN7L3qahp/+SWsrSEujs6rA+uPdl92OQ0//thEXMu+BBX7J+/qmb6GDXTd+KsumirfeH2foi793nuQfH+bnqIinFu3RrRVGhv1tcqm9HTMHTqE8eo199TZx4/D0rGD7vHT7aI0W2OQpzXlxhtC1orti5iThrd44s1gt2Ow2/dvKBAIBD6MCQlIZvNxOVY6WhDC8hggPz+fLzt14pT8fLJ8s/PeWhdlCzfiLqxHshpIntoTSxvxI34gVH/0sZ7YJvm6a0mYMuVPt+nctg3Hhg3E+8I7rV260HHZMgwx0cRPOic0IchNN8F//qPvioQgf55InlmD3U700KEtasOcm0vWPjyWIbZtcvdv5O9DSgpt330XVAUUBdWrBLYVNUSwytHRZD/ztCZywtiasgJ/J5LRSPr/3QeKiqp4tSyHiqJvm9u2CelH8nXXRrYNWkcGED9pkhbGrCr7tY0ediJKTa1m6/X11bftzwLox9K5M4b4+LC2piaTEIakJIzV1YE+eL2+bI4KcnSYBFGSFF4cNl1zqyiandcbkqiixRiNyNHR2gSGxwM+YWft2QvV443o1SPIa5c4bSpxZ00MH9IZlN0UIOX660i5/roWdS1qwACiBgzYvyEcN8ndxID12ENc02MPU2YmHT77VIyVjmAkVW3h9KsgBH8dy71795Kd3bpJcJYsWcKPP/7I4MGDmTBhAp6qRspe2IinzIEcYyJ5Wk/MmaLO4oFQ99137L1mFng8JFx8MWl33P6nBliq2035Cy9Q9vQzqIpCu/+90yxxQTMmToQPPzzo5xS0Pi1dt9X2vXf3u25LcOjwC09NsAa2gzMVe6urtURWiqqJdp9gdW7dSt6s/XvNxTU9+miW7VcMWI96xDU9DjiCxkpHkjZoLYTH8iilqqqKBl8I2iZfJruNGzfSI7cLVYu3YaqF+Ph4kq/ohSnZtq+mBE1oWLeevOtvAI8H+xlnkHb7bX9KVDZu3kzBHXfi3LIFgJiRIzEcxtqXAoEgFP+aSgwGIn2y/TXa/PizKwYnoBEcW5gyM0NFhtXa4gQmgiOT4Gu6smAlD55Zxq0JNQzNbFmEikAgODCEsDxA5s+fz/z583HtJyvgX83jjz/e7LH6+noW/s+Xvc8Kd868DWOc5fB27Cincevv7L36atTGRqJPPonMfz1w0GUpFKeTsqefofyFF8DrxRAXR9qdd2A/44zjJrzseEeEYrUMVVXxqB7cXjduxXfzunEpLtxeN4m2RBKtWomHGlcNG0o2hNi6vC59+4SUE+idopVSKGko4aWNLzW38517SptTOKeTVu+usK6QmV/N1Ox8zxvcl8ldJ3ProMgldCLR6Glk/HvjsRgsmA1mLAZLyPaA9AFc0StQG++hHx/Sj5kNZqwGq76fGZPJwPSBuu3Gso0YZWPYds2yWXzPCAQ+VFXliXVPsMPu5ol1TzAkY4j4fAgEfwFCWB4gs2bNYtasWbq7u7WY0GUEn/32HarUPJJZUiXGdRwuROUB4srLY+8VV6DU1GDr25fsJ54IWcN0IKiKwu6LL9ETrMSOH0/6nXdgTE7ez5mCY4mQ9SAq3Lb8NnZU76B9XHvmDp8L0uEJxfIq3hBxFWOOwWLQvh+qGqvIq8sLEWfB231T+5IVo61r3FG1g6/2fNVM+PltJ3WaRP80LaX9z6U/8/jax0Pa8ygeffu6vtfpom5N0RqmfzE9Yv9n95/N1J5TAdhdvZtZS2dFtJ3Ze6YuLGucNby+5fWIth3iAynyVVS2V0euf+j2aomYjAkJYDbDPiYLvCZZnyxwep2UN4ZPWgRgtwTWvnsUzz77OzJ7ZIiwvPTTS3Er4RNEDUofxIvjXtT3z//ofJxeZ6j4NJixyBY6xHfg+n7X67Yv/voiLq8r1M4nXBOsCQzOGKzb7qzeCdDMziSbjuqB+8qClTx4Sh63FqwU3q3DiKqqeFUvXtWLQTJglLVhaqOnkSpnFR7Fg1f14lE8+rZX8ZIVm6VPPpU7ytlUvgmvorXjUT1sKd/CpnItumtT+SZWFKxgWNYwqp3V/Fz6M0bZiFEyYpANIdspthSSbFqEkdvrptJZiVE26n0Lvj+a/96PVsTn9MhDCMujlKyfjZwlDWCxZU2zY108GWRuEpf2QPCUlbFn2nQ8paVYOnUiZ8EzyLaDDyGWZJm4M8/EXVhI+t13acWDDwDxZXl0oKgKHsWDUTYiS5pnu9pZTbWzGo/i0QSX2Y0nxcP6kvUste0Em8ROdrIuoYokWxIby1bg/i1UzPnF2pSuU8iM0UTnd3nfsXjb4mY2/vPuGXoPJ6ScAMD7f7zPw2se1oSf4kZRQ+tpPjX6KUbkaLVOv8v/jjuWR64J9++T/60Ly+3V25m3fl5E236p/XRhWeeq46finyLa1rvr9W2TwRRyTELCbDBjkk36zU+MOYYeST20xw0mzLJZ3zbJJjrGB4rPJ9mSuKLXFZqN77jfw2eSTXSK7xRi++KpL+rHgu1MsokYs7ZO3ZSZSYdPl3DLRzPZWbMzpN6iJEm0s7dlzulP6pMF0aZo3pv4Hi6vC6fXidPrDNnOiM7Qz1dVlSt6XdHMxr/dPal7iG1qVKp+zH+vovXHbAidFNtdsxuHxxH2WlQ5q0L2X938KhWNFWFtuyV2450z39H3Zy2dxd7avc3sJCQ6JnRk0cRACZQbv76RgrqCZoLVbDCTbEvmloG36Lbv//E+lc7KsEI4yhQVIm6L64tRVCUgbI0WjJLxoAf6R5J3yz+BEyyi/MLKq3rJjMnUPx+FdYUUNxSH2HrUgAAbkjGEWHMsoImrTWWbmtn62z+307mkRWtlW1YVruKr3V+FfX6v4uWaPtfQKUH7LC3ds5RXN70a0law7T1D72FQxiAAluxYwpzVc7Tn9tuogURZj4x4hHFtxwHwTd43/OPbf0R8n+4fdj9ndzxbf237mnySkJi3fh4nZp7IH5V/7NP2hn436BEFv1f9zoUfXxjR9ureVzOrj9bWrupdXPrppbpQ9QtQv2Cd2GEil/W4DIAyRxm3fn8rRskYKlZlA0bJyJDMIUzsMBGABncDT294GoNswCAZMMkmfdsoG+kY35FhWVqGba/iZcnOJRgkQ4hg9redbE2mY0Lg+/L3yt/1/un99fXHYtA+d0cSR9LnVBBAqI+jFPspbSj7ylduQAWkwP1vpgKqEt2cX96TJLGWb794a2vZM+NK3Hv2YMrKIueFF5qtr2oJ9at/RDIZierXD4CEi/9G3FkTD7it4/XLMjgcMvgHrMxRRq2rNkRQ6aJNcTM8a7gu6tYUrWFXzS5ddAXbeRQPM3vPxGrUSjm8/8f7rCpcFWjXb+9r/8nRT+oz1c9seIZ3f3+3WbimfxD08Tkf08auZVd9ZdMrPP/r8/t8rbIkM2/9PEbnjGbehshCbVTOKF1Y7q3dy5e7v4xoW+OqCbyXqNS6ayPaBnu5YkwxZEZn6sJLv/n2E6yBMN3smGwmdZoUYuMXdmaDmZ7JPXXbLoldeHjEw9oxn7ALFoFpUYFagz2Te/LDlB/0dv1einC0i2vHW2dELokSTII1gRv63dAiW4vBog9498cadvkmCYAmqzR3sIvz5QKGodV8NcpGOid0blG7JoOpxf2VJInPzv0s5DFVVfEonhCB6efFU19sJlj9N7+nx8+kTpOocdaE2ivadm5saKbjGFMMseZY3U7vC82jabZXbWdXza6wrycrJitEWL619S02l28Oa5toTeTbyd/q+7d+f2uzSQxZkrEYLMSaY1l6fqDczoM/PsjGso3NBavP03rH4DtYUbAixLv192//Tnp0ejORdO+J9+rfPa9seoWfin/SjocRVAvHL8Rm1CYr/7P2P3y+6/NmXje/GPv8vM9JtmnRLf9e82/e2hr5733JpCXkxGrRU29ufZOXNr4U0fa9ie/pwvK7vO94esPTEW2HZQ3TheXWiq28vfXtiLaTu06mE5qwLHeUs65kXUTb4Aklr+ql1hX5e8qrBESm/3vEL7b84se/bzUEykfZzXZ6JPXQj9W56/i98nf9uIqqey3jLfF0T+oeIm793+0exUOMKZD4UFEUDJIhRPwG4/9bAHApLiqdlWHtgJAoBofHwerC1RFto03RurB0eBy8svmViLYTO0zUhaXT6+T25bdHtD21zak8OvJRQPvuOPfDcyPanpR1Ek+PDfy9DH5jMC7F1VyISkb6pPbR2wW44vMrqHPXhQps33a7uHb8Y2BgwuCRNY9Q665t5hE2ykaSbcn8rdvfdNvH1j4W1gstaF2EsDxKsY/JJe6PQmyFZqJVC108mWw1FFBNA0gSRbWlLFiwgNNPP50+ffq0dnePWJTGRvJmXoNzyxYMSUnkLnwRU1rq/k8MwltXR8kjj1D11tuYcnJo/8Fi5KgoJFk+KIHadFBzsF+W/vBHRVVChFp+XT4OtyNUTPm2jbKRIRlDdNulu5dS6ihtbut1YzFYmNlnpm674OcFbKvaFlbUGSQDr0wI/Bje+v2trCxY2Uz4gTab/POlP+ti+oFVD/DVnsh1/9b8bU2IWPxox0cRbS/rcZluu6l8E0t2Lolo2+ht1LcbPA2UOEoi2vr7DmA1Wok2ResCySSb8CgeSh2BOpSKqrCpfBPDsoYxMmdkiEcteDvFFigxMiBtALcPvl0XX009et2Suum2Y9uMpV9qv2ZiziybMcqhnpzRuaMZnTs64msLpltSN+478b4W2Sbbkhnfdvz+DdEGjSazaf+GRwCqqjJv/TwkpLDiKdgbcrgnhCRJ0v52DM3fy14pvVrcTkvFLRDivVRVFbfi1gVr06Tzc4bPodZVGyJY/ff+z6WfUTmj6BTfqZmwdXqdxJpiQ2wNsgGzbMalBMKTFVXB4XGEeLsBtlVt4+fSn8O+FqNs5I7BdzBv/TxkSdY9/V/s/iKs/V1D79LFxKbyTXyz95uI75NbcWPTZiKodlaTXxe+TiuECqqmkyyyJIcM4oPf40RLIrmxuSED/WDx5Q9/B2gf157ROaNDPGPB5yVaApMNvVN6c3Xvq5t53fz7be1tdduhGUN5dMSjepv+9v227ePa67Yjc0by0dkfhTx/sJgI7u+Y3DGsvWRtxPcsmD6pffTJJ1VVmfLJlJDr6X8f562fx5unv8nbZ0QWzcH0SunFhks36OG6wWG5XtUbIm7b2Nvw/sT39VDcYOHqUTwhkQqJ1kQePOnBiGG+XRK76LYWg4WpPac2a8+/3Se1T0ifT8w8UR8LBHuc3Yo7pA8e1UOSNSmsp1tRFQyyIaRd/2+2Bw800dnVztAEZ1sqtoRMfO7L9tNdn1LSEP63tlNCJ11YqqrKf7f8Vz/mv56t8b0rCEWUGzlIWjulcM3SPdR8uRsvCjKSPshRUHHg4oe0HeytLuSCCy6g+/7KWhynqB4PedffQN2yZcgxMbR59ZX9lwBpQt1331F4z714CgsBiJ88mbRb/oEcHb2fMyP0yfcjuKVii/4jGGuKpVdyL81b5vsyz7Xn8uBJD+rnTfl4Cnvr9uoeN7fi1ge97ePa88HZH+i2Zy8+O+JasozoDL44LzCImvLxFDaWbwxrG2eJY/mFy/X96Z9P58eiH8PammVzyKDg2qXX8m3et2FtAdZfsl4fUN25/E6+3vt1iFAzGQLbL417SRfOr29+nTVFa7RjQaGPfvE1s/dMPaRxVeEqfq/4PcRTF2w7OGOw3m5RfRGVjZXNntt/TpQxqtkPr59w1xS0H8Juid148/Q3xQ/hUYTL6+LUd0/d57rJJGsSX5z3RbNwVMFfi6IqurD1i1CP4tGjCUBb+1vmKGsmbJ1eJ4qq0COpB1d/dXWztk9tcypt7G1CRNLlPS7Xv6dWF64mrzYvYoji0IyhuuDfW7OXKmdV2JBDv2fG367L69IH9gbJEOIVE+yfH/J/CHs9/SwYu0B4ufaDoiooqhIyyVHmKAsV1kEed6vRSru4drrtqsJVuLyusEI43hLPyJyRuu1bv71Fras2IGyDBLR/aQNEvq6tfT1bWxscCQiP5VFKzZe7ATDg+5HxpcI3IBGDlVOLu9E4fTSdOgXWENXV1RETI+pZgpZcp/DOu6hbtgzJYiHnmacPSFR6q6oofvAhqhcvBsCUk0PG/fcTPWTwvk8MQ1F9ESsLVlLnrqN9XHvdW+mn1l3LisIVIY+5vKGJQ2pcNc1m/vw0Te4RZ4kj0ZqIUWouvvzhV34GZQwiIyajmZAyySaiTaHi+cKuFzI6d3SoXZBoC+afA//JdX2vCxt+aZS0AZafOcPn7OPdC+Xi7hdzcfeLW2Q7JGNIiHd2X6RHp5Mend7ifgQT7IEOxu+1FOE7Rxdmg5m3zngrdA1ik9p4idZEISpbAX/4a7Cnqyn+xE7h2Jd3K78un0dGPBJxEmhwxuCQdZ/7IseeQw4tS/4n/o4OniM5uuBoQpbkZhMaTccK+6Klv7OgjSP2h6qqbPlgJZ/smc9rKR/xVvJnTCmdwMVlZ/BF/UpOnCmuZ2sihOVRiv2UNrq4BLDU78YZ01bfjzulLTmdAmthamtrefrpp+nSpQvjx4/Hag0NOzqeUFWVkocf0UShwUDWfx4jauDA/Z7nx11czM7zzsNbWgaSROKll5Jyw/UhxdX3Rb27njVFa1hZsJIVBSv0NUexplhy7bnNBjUSEpkxmVzf93o9/DE4kyTAvDHzUFW12fo4vwgMJjgkdX/c1P+mFtue0uaUFtvm2Fsvo/LhRAxsjk2aTTRUWSBJRIYc7YhJoGMLt+KmqL4o7HcvaGsti+qLcCtuIeCPIjYt/oHxe7RJnMtKJ3JCfWf6NnQFYPyewWxa/AM9zxneml08rml1YTl//nwefvhhioqK6N27N/PmzWPQoPAJFBYtWsS//vUvtm3bhtvtplOnTtx8881ccsklALjdbu68806WLFnCjh07iIuLY+zYsTz44INkBqXzb9u2Lbt37w5pe+7cudx664HXKGst7GM00Vjz5W7sp7TB/sTD1NzwVGB/TGiChR07duBwONiwYQM7d+7knHPOoW3btq3Q89an/IUXqHhJS3CQMWcOsaNbtr7MjzE1FVuPnrj27CHjgTlE9e3b4nPnrJrDe7+/h0cNrMmTJZleyb3Ijsnmk52fNDtHRSW/Lp84S1zEQU3wuhXBkYMY2AgERwdiEujYQ0QXHHuoqkrcaoXgpGl9GrqE2MStVlDPVsXntJVoVWH59ttvM3v2bBYsWMDgwYN5/PHHGTduHFu3biU1tXkClcTERO644w66du2K2Wzm448/ZurUqaSmpjJu3DgaGhpYt24dd911F71796ayspIbbriBiRMn8tNPoRnj/u///o8ZM2bo+7GxsU2f7ojHPiY3ICCfaLLfhN69exMfH8/7779PVVUVL7/8MsOGDWPUqFEYja0+v3DYqHznHUoffQyA1FtuIf6cs/d7jqqq1CxZQsywYRji45EkiYy5/0KOikK2hA+52lu7l5UFK1lVuIr7TrxPz8QXb4nHo3rIic1haMZQTsw8kYEZA4k1xTLlkyliUHOMIQY2AsHRgZgEOjYR0QV/PaqqgkdFdXtR9XsF1a2gehTMuXYkWRu3OHdW4y5p0I/57/Hdx53RHtmsLYWp/S4Px6byEDvV5cUteTCrgUgsqUlm7nczljJLGSI+p61EqyqKxx57jBkzZjB1qlb4esGCBXzyyScsXLgwrPdw5MiRIfs33HADr7zyCsuXL2fcuHHExcXx5Zeh6fifeuopBg0axJ49e8jNDYiu2NhY0tMPbs3U0UqbNm2YOXMmn332GevXr+eHH35g27ZtTJo0ibS0tP03cJRT88UXFN2rZbRMmjGDpGlT93uOu7iYonvupe6bb4g76ywyH9IS5viLn+ttu2r4sfBHPbw1ry5PP3Z6+9MZkzsGgAu6XMBZHc/S08P7cXldYlBzjCIGNgLBkY+YBDp28Sc7tJ/SBnvT/QiT8UcjqqqCVw0IMa+KMT4w+e3Kq8Vb6woVam4FPAqqAvZRgXFJ7Xd5uPJqQwWgXwR6FNL+PkCf5K54YwuOjZGTmWX+34lIPrFYv6aIhnWRM6zbT20DPltPZSOu3c2zyZrRRKW/0p7++gFvGxNTLp0pPqetSKsJS5fLxdq1a7ntttv0x2RZZuzYsaxcuXK/56uqyrJly9i6dSsPPfRQRLvq6mokSSI+Pj7k8QcffJD777+f3NxcLrroIm666aZ9eu6cTidOZ6BGV21t5NpLRzIWi4WzzjqLLl268OGHH1JcXMyaNWs444wzWrtrfyn1q1ZRcPPfQVGIP/88Umbve+2gqqpUvfsuJQ/9G6WuDslkwty2DaraPLziy91f8vdv/x6yLtIoGTkh5QSGZg4NKcKeGhW+lIkY1AgEAkHrIiaBjj38IhK0pUPO3AtwBu0Dh1xcqqoKCkiGwFjBU+5AcXpDBJpf1GGUiOoVKC1V+0M+3kpnEw+gdi9bjST9LVBaquzlTbj21AREX9DctGQzknXPUH2/+rNdOLdVhe+0LIUIS+euGho3RxaLeFUwaq9PMgYl9pG0fcnkuxllzdaHKSsGq8PjO25AMkq++yB7H9ED0rF2iAff4/7j9T8VU7+igKaxWxJg3O0mapULxkTuuuCvpdXKjRQUFJCVlcWKFSsYOjTwh3/LLbfw7bffsnp1+GKx1dXVZGVl4XQ6MRgMPP3000ybNi2sbWNjI8OGDaNr16688cYb+uOPPfYY/fr1IzExkRUrVnDbbbcxdepUHnvssYj9vffee7nvvub12/aOHUu2zdbSl/3X8eOPEGFtaiTqjEa+ycjglPx8LIqy/xOOUhyNjezZm4eiqsTGRJOVkbHPcFKX201RcTH1DQ4ArFYLGWmpFCUZWJHmYGWqgzEFUZy9Wwtv3Rvt5rTxebSrMTG0xMaJxTYGlFmJ9vzJtPAHcU0FRwHiuh57iGt6bCKu61FPXre/Q/Dvvao228/e8oi+Wxd/AqrBgioZUSUDqmzy3RsxuGuJK/1Bty3LmYTXZNePq5JRvzc5y0nb8bJuW9RhGh5LUtg+GlxVZGx7Xt8vbncJblv4iDrZ00Dm7/P1/ZI2k3FFhxfGssdB5u9P6fuV6WNw2TKQFA+S6rspHiTVi6R4iC/6UhdrjpgOeE12JNUDvuMBew9mRyGST8UqsjbhLSkeQGkm+A41B3pNDyd5Dgc5X311XJcbOeqEpaIo7Nixg7q6OpYuXcr999/P4sWLm4XJut1uzj33XPLy8vjmm2+w2+1h2wNYuHAhV111FXV1dVgirJlr6rHMz8+ne/fuR84fz8SJ8OGHf6oJRVF499136dKlCyeccMIxsZbPuWMnu//2N7yVlUQNGULOswsirosEqF+xgr3XXofa0AAWMxWXTuDLwSZWFK2msL5QtxudM5onRj+h7xfXF5MWfYjDiQ/BNRUcgYjreuwhrukxQ0iY5BPX7jMpnmDfqIqKUu/2hWX6PHReVd+Xo02YM7USaKpXpf7HQs2T51E0D50v7FL1KJjSo4kZqiVhVFWVshc3Bjx/up12jqV9nO7VC/ZYhsMQbyHj1sDkQcGcVSh17rC2psxo0q7vp+8X/nsN3orGsLbGJCvp/whkmy9Z8DOe8kbd6xbs0TPYzSReEEhAU7s8H6XWhWSSIchTJ5lkZIsBW49AqQ9PmQNVUUM8epJJBoN0TIzhwtH0mlrqdoVURWjNz6qoY9mKobDJyckYDAaKi4tDHi8uLt7n2kdZlunYsSMAffr0YcuWLcydOzdEWLrdbi644AJ2797NsmXL9ikqAQYPHozH42HXrl106dIlrI3FYgkRnTU1zeO+j3Y2bdrE5s2b2bx5M1u3buWMM84gqoUlNI5E3IWF7Jk+HW9lJdaePcl+6ql9ikpVVbH26IEcHYWxezdmDdxIXvwnsF07bpJN9Evtx9DMoQzPCk1lfchFpUAgEAgOK60RNnkoCV6qoXoUvDWuIKEWKr6MiVZM6VotYqXBTf1PxSGijqDzLB3jie6n/cZ5692Uv7o5TLsKqlslql8qCWdrYzTV6aXwgfBOAgBb7xSSpnT1956qD7ZHtLV2S9SFpSRJOHdWh4RYBqPUB4ShfUwuNUv3gBImKZ5JxtIuLrRPPZNRnd5Qkea7N9hDl6IknNsJFDVULOqi0RBim3p15PqpTYkdntViW2PyERAxd5g50KoIgsNLqwlLs9lM//79Wbp0KWeffTagecyWLl3Ktdde2+J2FEUJ8ST6ReUff/zB119/TVJS+NCDYDZs2IAsy2Ez0R5PdO/encrKSr755hs2b97Mnj17OOuss+jUqdP+Tz7C8FRWsueKGXgKCzG3a0fOc89iiIkOsVFVlT/KtrL1/VdY0q4Sp+Ji4biFtH3zTUyZmaR+PhWrq4YTM09kaOZQ+qf1x2Y8/r7EBQKB4HigqWfL2STEsObL3WEHrapP4PjX1CkuL97KRl3ENRV1psxoTCnapK2nspGGdSWaXbBXz3deVO9UbD20cYy7qJ6Kd7aG9eipHhX76BzsY9to7ZY5KH58XcTXGnNyNvGntdP62+ilesnOiLaS2aALS1Q1bEIV/b1wegPnGSV9zR0GGckkIRl8wssgYwhKLIMsYeuVrL2HRp9A028SxpTQSe7EyV20TKO+4yH21sDQNpKoBFDdSjNh5hfFLcHaIb7FtoJDy4FURRAcXlo1K+zs2bO57LLLGDBgAIMGDeLxxx+nvr5ezxJ76aWXkpWVxdy5cwGt1uSAAQPo0KEDTqeTJUuW8Nprr/HMM88Amqg877zzWLduHR9//DFer5eioiJAK1ViNptZuXIlq1evZtSoUcTGxrJy5UpuuukmLr74YhKaZPo83jAYDJx88sl07NiRRYsWUVZWxhtvvMHAgQM55ZRTMJuPjsQxSn09e6+6Gtf27RjT08l98QWMiYkAlDnK9DIgu9d/x4XvldGxCKQzZX7qaaDaWU2cL3zhuVOfw2KI7OEUCAQCwZGHv/yB4vJqiU9cWpkC1a1gTI3CEK1llXSXNNC4tUI77vZizonFtTcoMV+TUEI5ykjhQz82E3WomvcqeqAWbeXcWU35S5si9i/uzPa6sPRWOfcZqmnKiNaFpepVcRfUR37dniABFRRuiS7mAgLMEBf4PZetBqL6pmoCsKlIM0qYfOGqmq2RpIu7aQlVDEFeOv95QaIOo0zWv4a3KCRTkqSQpDT7I+qElP0b0XyyoOl6vEiTBQKB4OBoVWE5efJkSktLufvuuykqKqJPnz589tlneumLPXv2IMuBBCj19fVcc8015OXlYbPZ6Nq1K6+//jqTJ08GtHWPH/rWufTp0yfkub7++mtGjhyJxWLhrbfe4t5778XpdNKuXTtuuukmZs+efXhe9FFAZmYmV111FV999RWrV69mzZo11NTUMGXKlNbu2n5RXC7yrruexl9+wRAXR+pz8zFmZOjHH/zxQb7a/hmTVij8c4WKUYFGm5EJHU7jhjOnYTcHwqaFqBQIBIK/BtWjaFkyXV5d9KkuL4rv3tIuDkOMJn6cu2twbC732SohYlFxK8Sf2R5LrvbdXf9TEZXv/UGEyk0kXdwNW09tjZq7oI7qTyJ76oIxZUTjLqyHBk/41+MNJMCTTQbkKGOQ5y1UrBliA6LOYDcTPSg9VNQZAueZ2wR+k4zJVpKn9mji0ZPCeupMyTay7h/WotcmR5lInBx+GVBTJKOsv3/7tT0C1vjZT2kTuh6vfnez9XgCgeDQ0arCEuDaa6+NGPr6zTffhOzPmTOHOXPmRGyrbdu27C8XUb9+/Vi1atUB9/N4w2QyMWHCBDp37sxHH33EiBEjWrtL+0X1esn75y1s3L6CX0+ysHV8W35efQn/S/0f7ePbAzCmvg2nv2oivUhbcB81eiQd772Pvsd5GLTgr+V4qaN2PHG8XFNvvRulzoXqUnweQCVECNpOSNE9gI4t5Th+LQuIxGAR6PaSdEl3PVlL3Q/5VH+6K+LzJl/RC0NHTYC5C+uo+zYvoq1SG1hTJxnkUFFpkJDMBmSTrNXSCypnYEyyEdUnBclsQDLJuArqcO0MH+bpLqwnakCaLgKbevX8dfoALO3jyLx7aNh2mmJMspEwqWXLTWSLEWuXxBbZCjTEejyB4PDS6sJScGTToUMHrrvuOgyGwI/mL7/8QmZmJsnJLZu1/KupbKzk273fsuzz51jbaQ81fYyAF+q0UKSfin+ifXx7Kl55hbYPLQBFwZCQQPpddxI7YcIRMasqOHY52hOCCJrT2tdUVbTMmpJJ1taZodXJ81Q5Q0RfsMCLPSkL2efRql9ThGNjWahQDBKBqTf0w+Rbe1a3PJ/ar/dG7Is51x4ILS1u2Gfxc8UR8PbpyU2MErLZoNWyM8u6yJPMAQFoyoghZnhWyHHZ7LM3GTDnxOq21h5JZNw+WD8WXEuwWd9zYkm8sKu+n3fr903e6NCwyYafikk8r3PE9gRHJmI9nkBw+BDCUrBfgkVlUVERixcvRpZlTj31VAYOHHjYhVmDuwGX10W8NR6AjWUbuWvFXRALIGGTzAzKGsrQTO3Wzq4lKLB27w6Kgv3000m743Z93aVA8FehepUWJwRRvQrOXTW+cayW9EIvCCZJGKJNeqIJVVFx59eFHIeAvWwzYkyw6s/hLq4Pa4ckIZtlDPZA2LenqlHz+AT1w7+JQdZFBGjeLP/gWwruiwTImmDQ3wu3NzBOD+mH7znko2eCpyXXNGZYpi7ajEmBBCGuvbV4KhwhoZzBwi7+zA56kfCaZXtwbAoNAVVcvqLqQMadg/Vw0drv86lfVUgkovul6sLSU+agcWtlRFvVFUjAIluNyFFGTdD5xZrZJ+yaCEBL+zjs49sGHQs9x5QaSMASPTiD6CEZLbruljZ2LEEhoftCNhvAbNi/YRhE2KRAIBD8OYSwFBwQNpuNNm3asHPnTpYsWcLvv//OWWedRWxs7P5PPki8ipctFVtYWbCSFQUr2FC6gUu7X8pN/W8CoP3SrXTJU+mxW2XkyMsYPvkmTAYTSn09jo2bkAZrYbBRAwfS7oMPsHYRM86CUFSPgrfWpQ/gg9d+KS4v5owY3SviqXZS8/muQKhfE9uYwRl6ZkZvlbP5kzWZiPEPVhWHh7Lnf43Yx6h+qXqtM9WjUDJ/Q0RbW88kki7uru8X/ydydkhL5wRSpvUM2D66VstMGQZzOzupVwXS5hc/tjYktX8wpqwY0q7rq+8XPbYWb2WY9wMwpthIv3lAwPY/a/EUN4QKZ9+2Md4SWh/u2V9w59cSUMABe0OUMcS27LXNgYyWTYSzZJJDbCve/R3njmrdVvK3i5bERQleaxdmcq3g3pX6dtacYbpYrPshn4YNpWHfBwD7qW0x+Gy91U5tAiECqitwnQxxFoypUbqQk0O8f4aQUE1bz2SMKVERPYDBZRViR2QTO6Jl9dgsuXZ9reP+2JcnsbUQYZMCgUDw5xDCUnBAxMXFcckll/Djjz/y1VdfsW3bNp5++mnOPPNMunfvvv8GWohbcfPBtg9YWbCS1UWrqXZWhxzfVrUNgOoPP6Rm7qPcD6TccD3JF80EoH7lSgrvvAtPeTntP/wAc642IBCi8uhG9Sh4691NxFxA3JmyYzFnaGVl3GUOar/eq3nKnJroU4NsY07O1uuFuYvqKXlqQ8TnjR2VowtL1a3sO9wvSHD4PTaqVw1bc82QaNUHq5IsYUy1BdaH6fcqKiDHBAb7kqQV9tZsVP8//T/ZFvAqgiaEfE2FnAMgm+QQW8kk++zUoH5o9gcUndDUdN/L38PbBr0H+qEm76M/fDMcSpM+KA2eiMXPg9feASi1rojFzwEsHeJwbq+OeBzQBKlJRvUourA0pkdjae9q5s3TxaAx0OnowRlYuyVpj5ua2PsEoR/7qBzso3L23R8f5pzYkPBRQQARNikQCAQHjxCWB8j8+fOZP38+LpertbvSasiyzJAhQ2jfvj2LFi2iqKiId955h379+jFx4sSDarPWVcue2j30SOoBgEEyMG/9PCoaKwCIMcUwKH0QQzOHcmLmieTE5lD7zTcU3HY7AAmXXkLS1Vfjra2l5N//pup/7wJgyszEW1EBuUfHwOBYSQiiehSUBo/uxVNdoeLOnBurp9t3F9VTt6Ig4CV0+sIDffv2sW2IHqBlinbuqqbshY0RnzduQjtdWKoODw1riyPaKg1BCT8sWlIP2eIbuFsMmgfHonl6gmudGWJMxE1oq3uBJLMB2RIY7IdkfIw1EzsiJ2I5AW9FIzVL92Afk4scZSJ99oCwdk2RTAYybh3UIlugxYlEDtQ2487BTUSgGlFAps3urwnEYHu/YGwiWFOuOiFQe87Xrl8US6H6j+RLumslH4Kf3v88TYRl4vmdtb+xZsK5OXFntCd2jKe5uFWhfm0xDT9F/tuKGZlN3JhcLXtnUw/1yBwY2UIBmBkDmS0yFQgEAoGg1RHC8gCZNWsWs2bNIi8vj5yclg0OjlVSU1O54oor+Pbbb1m+fDlJSUktPtejeNhYtlEPb/217FfiLfF8fcHXSJKELMlc1PUiFFVhaOZQeib3xCgH/lwb1q4l/4YbwevFPvFM0m69lbpvvqHo3vvwFGsDvoSLLiJl9mwMMdGH+qX/JbRGQhDVo6A0enyiT9G9gH5xZ2lr19fqufbWUv9TUXNbn9cw/vR22HpoCZ0af6ug/PUtEZ83flLHQB23Whf1PxZFtA0RgGYDyL4sjxaf18YvAs0GDAmBtYKGBAv2cW01b48lSAT6zgkO9zOlRJE9p4Wp+a1GYke0/LN/LNdRk4JCVH2PRLSVD2DdW/A6zv3axrW8LJAx0bp/Ix+mJgXZgyl99pfQB5pc07pv8ogf367FzyUQCAQCwbGAEJaCP4XRaGTMmDF0795drz8KUFlZSUxMDCZT6ADxy91f8vH2j/mx6Efq3KFrh2LMMZQ3lpNs08TJVb2vCvucjVu3svfqmahOJzEjRpAxZw6Fd95F9aJFAJja5JI5Zw5RAweGPf9IpSUJQaL6pYZdB2jpEK97ypy7qmnYUBo2VFRxeUmY1Alrh3gAGjaUUPnuHxH7lHhRV11YeqoaqV+9DwFYHxoCikRYj55kNugJRwCMyTbsp7YJEn2hXsNgsWjOiSX7X8P3805qGGLMLQ4N/CsRCUGOPcQ1FQgEAoGgOUJYCg4JGRkZ+rbL5eKNN94ACbKGZjH+hPHYjFoo4a+lv7Js7zIA4ixxDE4frGdvzYrJ2u/zuPbuZc8VV6DU1mLr14+sx/+DbDZjSk8DWSZx6uWkXHcdsrXlnonWQvUqeGtceKudeKucWDrF4/yjKmAQZj1b0UNrwraVPK2nLiw9pY59Zods5gGEENEXCAGV9bV5AKa0aOxjc5t5CSWf5zA486WlYzxZ/xreojV5xgQr9tEt89gdjaVhREKQYw9xTQUCgUAgaI4QloJDhtvrZkPpBr7f8j0VVRUYPUaKPyymvqiei8ZfhCzLjGs7jlhzLEMzh9ItsRsGueXhcZ7SUvZMm463tAxz+/ak3XYbsk0TM0lXX03M6DHYevb4q17eAaEqKkqdC0+V0yccNQEZc2KmHo5X+30+NZ/talF7xlQbnhJHoOabuck6QEvgfTRlxhA7OsfnJQz2GGpi0RgU4mfrmawJwBak/DelRmEa2zJPzNFUOuJwIBKCHHuIayoQCAQCQShCWAr+NL9V/Ma89fNYU7QGh8cBgCXTQr+yfmQ2ZLLtx228UvwKZ599Nj2Se9Aj+cDFn7emhj1XzMC9dy+GhAQ8paUU3nM37d5+G8lkQjabD5uoVFUVpd6Nt9qFt8qJuU2sHtpZv76Ems934a1xBZKPBGHpEKcLS0OcBQwShjgLhjgzqsODu6gh7HN6ShzEjs0lrgXCzpwVgzkrpkWvRQhAgUAgEAgEAsGhQAhLwQFR0VjBqoJVpEWn0T+tPwBGych3ed8BkGhNZEjGEIZmDmVw+mAKfy/k008/Zffu3TzzzDOcdtpp9O7d+4BCGhWHg70zr8G5dSuYTHgrtcLeEhKeikpMaamH7PWpqora6EUyynoqf+eOaup/KsLr8z56ql16gXKApMu6Y+uW5OtTUO1CCQx2syYc4y2++0CIbtQJyUT1TtHFXd6t3zftTEg4bO1Xe1okLAUCwV/M13NBNsCIW5of+/bfoHhh1G2Hv18CgUAgELQiQlgK9onT62R9yXpWFqxkZcFKtlRomT4ntJ2gC8sO8R3458B/MiB9AJ0TOiMH1QPI6JdB27Ztef/999m7dy+//PILJ5xwQouFpep2k3fjTTjWrtUecLuRzGaSr72WpGlTkYwH9yfsqWjEuaPKJxZdeKoa9ZBV1eUNEYveamfYuoVyjAlDvCXE62fpFE/KzN6aiIw177MIuGQIrZsgEoIcowgRcuwhG+DrB7Tt4Ov67b+1x0fd0Tr9EggEoYjvX4HgsCKEpSAsHsXDdcuu46ein2j0hhYJ75LQhY4JHfV9SZK4uPvFEdtKTExk6tSprFy5kl69eiHLmqBSFEXfDoeqKOTfcgv1336rP2br25eMB+Zgad++ub1H0cShz6vo1dc3avdxp7XD2ikBANfumn1mQ1VqAwluTDmx2Me1xRBvwRjn80DGWfSC58EYYswhGU8PBJEQ5BhFiJBjD/919F9XCL2e4QaxAoHg8CO+fwWCw4oQlgJKG0pZVbiKgroCvcSHUTZS2VhJo7eRFFuKnrl1SMYQvRzIgSDLMsOGhdYJ/OSTT5AkiVNPPRWzOVSMqapKyUMPUfvpZwBIFivJ1/+DmFET8NZ6qP0uD2+Vk6h+qZizYwFwbCyj4q2tEfvgKW+ETtq2McWGpXMCRt/6xkCoqnYfXHPPlGzDdJjKVoiEIMcgI24BRdEGMXUlYKuFr+6F5f/RBjUDr4A9q0FVAFW7V9XAfnIXsPuyLteXQf7a0ON+e1RI6wlJHTTbuhLY8U3Atql9Vj9I7+WzLYVN7zdvz7+dMwhyh/j6UA4/LWzeV3/7OUOg86maraMSvnukSX+DtnOHQq/zNFtnLXx2K6iEfy9yh8CgGZqtxwnvTtO2w70XOYNhxD8C1+CViYE+NrXPHgjj5wZsF44HV53ProltZl+Y9Fzguv60kJovHsHRzYjti1XYE9Jh21LYtRySO8PpjwTa/fZhcNaA0QpGC5hs2r3RBlFJ0GV8wLZki+ZJCbYxWrRzDeJnWyBoMSf9Hbwe+PoBaioqcRhd2Bbfjn3DfDEJJBD8BYhfqOMQh8fB2uK1rCxYyYqCFWyr2gZoYvLi7hcTbYoG4J+D/kmsKZYO8R0OeZmH0tJS1vrCW3fs2MHZ484kPSoZT5UTvBXUf/8FFa+8iiGlO1EjZoHXROMf0PjHxpB2jKk2XVga4ixglDHG+8RiyNpGC+aMQEIbc3YsKdN6HtLXdCipKSvBIanYykqwJx+6NaSCQ4irHupLNVFWX6oJtdh07di2r2D549rj9aXQUKE9vuZ56AYsXxcY1GxaDP+7LPLzTHwK+l2ibResh/9eENl2wr8DwrLsd1g0I7LtmHsCwrImDz79R2Tbk28JCMuGcvh6TmTbodcGhKWzDlY+FdlW8QaEpdcN61+PbCsbA8JSVeG3jyPbGi2h+zu/Q1OsYbDYQ/eLftWEZTiikkJ2axywcPsAvKqMQVKY1uEn7HW+Wq/OmtBz178KVXvCt5vcOVRYvjsNSjaHt43PhRt/Dez/73Io+yMgPPWbRetvsLj9+W2oK2puZ7Jpt3YnB2zrSkH1htodheV+DggRNnnwBOcE8Di1iS2vS9v2uoK2nZDUERLaarZ1JbDlI+3z73WCx2frdWqPdRwDHcdqthU74fPbw7Tp2+5/OZx4nWZbvh3mDwJFq69c47aw8O2f8ZqMGN7awLQT+2P3X+f6MniiNxhMIJvAYNa2DWbt1vX0wHV3N2rf18HHZWNgO7MP9L4w8J6sfKp5e357ewZk9Q+8h4U/B7XVpC9GK5iO/DJqh4Wgz2mzsZL4nLY6QlgeIPPnz2f+/Pm4XK7W7orOyoKVPHhKHrcWrGRo5tB92j61/ikWblyIWwmqZYhEt6RuDM0Yisvr0oVl39S+f7pvqqqiNHiQDBKyVftzcxXUIX9XzsSEYSytWktFRQUv/fdV+njb0tfTFtcvb+Pe8TUACRddgHO3SWtMlkIEozHOgilYLLaxk3X/iUdlrcNgaspKWHjjVXitKoYbr2La488KcXk4ULyaAKwvhfoSbbCROxTifPVVf/8Cvn0ocMzdJIPvBa9C97O0bWct7GqSjAkJXdzIxsDg1RIDie2145KsDc4kObBvjQs0YY3TvGbBxyUpsO0XtgC2BGg/0mcjN28/MSic3Bqv9T3ELsg2vWdoH/pd1vy5/bZ+AQpgiYUTrw//uiRZG4T5MdlgzN2R34eUzgFbgwlOfzT860KC+CYRBue96LsEYd63mCafrcmva97JZv2VQq8F4MgZhffXvQB4VRlHu9OwDztXG3xaYkPbHTBN+7vxNPpuTnA7tHu/R1q/dokQnRqw9Qb93shNfrbLtkFx6ISbTkxaqLBc+xLsWRne1hwDt+cH9hdfrU2QBOMXmSYbzN4SEBLL5sDeHwODX78Q9duPuVu7ZqCJ/Kq9Tby21oBXNqVrwCvrcWnv/eHy0gaFTdb0uDwwYN308pERNqmqmlBqKqyiU8DsKyNVWwylvwUJNWdg2+uCDqMDn/2iX+GXt7Xj/jaD2x4yU/sOAc0L/8nfg8Sf3963fdojMHC6ZrtnJbx6VuTXccr9MOx6bbtqD3wyO7KtNS4gLN0O2Loksm1dcWBbNuqiEsDhMeJVteUrXlXGkdgLfUrJ64o8mQSQFTQW8jTC759Ftu15XkBYKl744s7Itp0nwEVvBfZfGBv6WQ+m3clw2UeB/f/01PpsMPsEaJBwzegNZ88P2C6eBc7q8EI4LhtOvDZgu/51bdI0uD2/yLXGQbuTAralW7X3OFg4B/fF/zd5qPF9TmtqG1n41vrAWOnCvth/erT1P6fHOUJYHiCzZs1i1qxZ5OXlkZNzeMIj94Wqqjyx7gl22N08se4JhmQMQZIkiuqLdI/kjf1vJCtGGxwnWhNxK27So9M5MfNEhmYMZXDGYBKsCX+qH94aJ44tFSFrGr3VWu1G1a0Qf3YHYoZkan12enFsKCUVK5MYxArT72w3FLHeuJO9Sj5DDC6igcQZM0iadh6ekgYtPDXGtM/yGMdK6QxHTQ1etyb8vW43jpoaISwPFrdDmxGvL/MJwlJtoBTvCy/+bQksu9/nVSz3hT0Gcf4rAWHpboD8n0KPG62aAIhJ0bb9ZA+ESS9oj0f7bj8thG/mgiIBHm1mdcQt2qDp+vUtez05g+DKb1pmm9YDLv2gZbaJ7TRh3BJi02Diky2ztcXDqfe3zNZkg5NubpmtbNBCiFtKz3Nbbtth1H5NaspKcHwzj4oNXwJd9ccrNi2H+BxsI69r/pkdflPL+zD1k9B9xasN+D2N2nYwZ83TQo79x91BwtUv5vx0OkXzFDW18zhC/37BFw4dNBkCQaK4MdR7WfgL7PyWiIy5J7D900uwaVFk21v3gMEn4JfcDOte1QbCwV5Wv3i9ZLH2GQNY9xpsX9ZErAbZ97tUm2wBLdS4ak9omLHJBidcAM5aar54hIXPfq8NWK+fzrR2q7GfdA10P1sTY8HCKmuANjnkfx8K1gUJtWAPnAsGXxX63bPhjSCB2ESsnf00ZA/QbNe+DEtu8YmOMJ73KW8HPN7bl8LimZHf3/MWBoRl+XZYMS+ybdfTA9vuRijdEtk2WBAZrWCwaO+rwaRtG0y+fQtEJQZsoxKh6xmaEDFaAmLGf27wRJU9E858wte2X/QEbduzUBVtUkiyZ8FNm6koraC2uoaKH96CXTv1pvLLFerXrSE+I4vE1FS4fj1uRz3uhjpQPEiKBxQ3kupBikmDhgZMFguy0QoT56G4G1HcLs3Oq91LigvSeqB/MlQFTpjsu8Zu380VuA+eLFNV7bfE//fgt/E7AQxNcjc0VIC7Pvy1aDqp9cfn2m9cONJPCBWW3z0MlbvC2yZ1hOvWBvb/NxVKNoW3jc2Am38L7L8yEYp+CS+EbfFweVAEyrI52uRIOO+xyQpj7wXAseRxvO5+gG+s9P0C7KeJ8ObWRgjLo5iapXuo/nI3vVJy2JS8iRN+yyVv+fd8nP0DT8f+V7cblDGI8zufD8CEdhMYmjmUtva2+/XsqR4FT2VjkyQ4Ljy+7diTsogeqHlIPOWNVL2/LWJbSn1g5tCYGkXchHYY4s1IUQZO/eg3Nnz5Iz/17UOZGZZ1TeCiPueTOvsmJEnCnBMbsd1jiZqyEhw1NVTk7w153L9vs9uFwFQUaKzyicUgz2KnUzVxBLD5Q/jyLu3xcLPQ578cGNwp7uYhh7ZETQjGpAYGjKCt25v8hvZ4dLLPSxATPjwwLhtOOD+w/+2/4Zu51Ay4Gcfza7DNGIg9XEIJwZ9GUbx4XC48LheWqCgMRk1c1VaUUZGfpx/zuJwh211OPJn4NO37bO+mX/j5q8+a2Gn3LkcD9ZXlKIoKdNWuv6oN9pcUdIX/rYf/TcNksWAwmhg97Wq6DR+ptbv5V758bh6SbEA2GJBlA7JBRvJt9z/9LDoNOhGAsj27+OGd15Flg3Y8yF42GOg46ETantAXMvtSW17GL199GmjXEIssxyEbDEiff0xGh86kd+wMJ92Ms6Genet/0o7pbfruN/1CbHKq9j5csgiv20Vl3m4k1YPsu0mKC1n1ItdUYzJbMFmtMPwm1J7ngacRyesM9cp6nKEex4wTNI9+sEh1NwaEcbDA9fhKNyke7bPc9PMsB9bCU7Bu34K1+9kBYbnhjX0KKkeXS/Bu2wWA16vi8Bixr3oaVj3d3Piq77XXBNoAftk+wsS7nRn47qncte9w7saqoB1JE51NkWRNWKlBkw1RSZDSFVU2oRosKAYLqmRCkc0osgmFWJSKMmITk7UQ7BOvo7pBpdEto8pGFAwoklG71Seirv+Jtn36I2X1g0s/JG9PMdVVdSiqhIKMgoSKjFJkQvngXfqffhaG3CFwVwlbVy6ncNtWVK8Xr9eL6vWiKF6UFSUo3z/M2CuuwZLYHi58gw2ff8K2n1aheDyajbcRxduA8sV7KN53OPf2/yM2KRn6X86q995i/efvoyiKbu9/DlSVyx6ZT3JOG2rcJl6+6w5NbDbh6xU7YcV9yEYj0594Dntye37+aBHfvr4w4iU57845tOnVB/pdyq9fLuGrF8L8PfAT8Apn/eMuOg4YDJOeY8v3X/P5gieQJBkkA0gGJGxI8hZ44wLGzbyBzoOHwexNbF/7I58/8ziSL7Ghf5wmFUmw4nJG/G0qXYeNgJk/kLf1Nz5//S1A1X+GJECqMMDN1zD47PPpdtIoOPUBivfu5YvP14Gq2Uq+dfRSlQnu+jt9TjmN7iePhs7jqSgs4Ku1NdpxVQUUJFVFqrDA3HvoNmyEZhuVSK0pk6W7U0BVkFQFCe29lkw2ePwhOvQbqNk2VuOoreWbkva+fvrapRGMVUiueeR066n1d/cK3DtX8l1JO91W8r04STLg2pGEPaUtcR2nwK5AXo2KjlMgZ5JYQtTKCGF5lFKzdA81X+5GAi4rncgJ9Z3p26DNnJ+ZN5yqlCo2dstjaMZQ+qYEwjgSrAkkWBM00Vjd2CyDqrVrIrau2myiK6+W0gW/ROyDp9yhbxsTrVi7JoYmwomzaOsd7Ra9JiSAIdpE7IhsGn//nfybZuPatp1cILmkhDUD+tMz1k7Wvfcc9SGtLUFVFGrKSsjbvJEvnp2HonsjNE+BJEkseepR3T46PhGTVRuwGowmDCYjHfoPZvA52ro7j9vNFwuewGAyYTAafTa+m9FEck4bOg7UZoBVVWXriu8CNr72/NvWmFjsySn6c7saHRiMRmSD8dBeG3djYC1isGex28TAesFN78On/9SOq97mbUSnBIQlhM64GszaTHB0siYK/YNL0EJdL3nf51VM1QZlkcLu7BlgP+PAX58v+2DNgJsDYTtvrWfahTcfN+LS7XLiamgIEXPuoO2c7r2wRGlhU/m/bWbv5l+biT/N3smIi6eTmKl5kX9Z+jmr338nxE7xBiaxLrhnLjndtXWk29asYtnCBRH7mJzbVheWNWWlbF3xXctenBp+7abb6cTtdIYMap0NDVQWFkRsquuwEfp2Q00129asimgbn5ahCUugrqKcVYvejmh74vl/04QlUFtWyidPPhzRdsCZkxhxsZYYqa6ygldujexp7TPudMZMmwlthtIQ15UFV12CJMkhYlk2GJDfvZiuw0Yw6rIZMPwm3ANn8sbts5FluYloNiDPvY+c7icw5NwL4cwnUcfN5eP5TyJLIEsqkqQioyJLKvJbb5Pcph0njBkPPSZBcmdWr/wN1etGxqsJYDyaMF75E7EZJbTvOxBiMyGzL9uLFVSPC1lxIytOHE4Ft9tLrdoV2KW/zgp3LEXuJAwGGYtZRpXMKLJPfK3ZgCWjnk4Dh0JSJ+g8gV/2KDg8Bp/w8t/LqJ/9gDV5N0MmTdZCG09/jO+X/0Z1jQNV1YbkigKKCsobX2C1/8SZN90KPSdBh9EseekVSvbs1QSV/+b1ojz6Xyy2xUx/8nnoPA46j+Pd+29nz0b/77cXcGi3T57EYDJx4+vvQ1p3OHUOyx66jx3r1oS5wt8AcNObHyBFJUL7EWz48CG2rmwa5h+g9ymn6ZM5u35ey8avv4xoO+KS6ViitKU3FYV57P4lcuSGxx3wiLqdjTRUV0W0Vbzab4SjpiasqAyx9Xj0qKAIq7B1gn/3Inzsg2yDnkNR8Ho8EW2VoGNetwtHbU1EW7fLN8GQ2A6XtYyqsvKIto4630RM78m4TL9SUvJNeMPCKjoO8HmGJzyEa/sf7P08+HPvWzaAG4rXkt7BlwXx8o9x5e1l+80RPOQrvyc2MUkTlhe+gbson813R4hgWfo5sixrwvLE63C3P50NT38a0TbQMxUVCQmVJV9tha9uxGAyiSVErYgQlkcpwfUOAfo0dAnZv6T0DFLO6423yonRYQPfWNpVUEfZwo0odW7CIVsNurA0xFmQzAYM8eZQoehf45gaiJ83xFlIvrzHAb0GQ1wcnqJiDPHxqC4XUfX1THC7yfnXA0gGbSb6t99+w+v10qPHgbV9pOF2NuJ2OomyayFetRVlvP/gfVQW5If8YAbQfrXUJr9e9VUVzSyTcwL1LT0uJ1uWfxOxH11OPFkXlorXu88BZvt+Aznnn4EQtqenT9F/HANCVBOwOd17cdp1f/d1XeX9B+/G21iPQVIw4MGgujGoLgzJHUlo350BZ5wDv74LH9/Ez0VRevITg6T67hUMwyVsPceR2bmbFgpXV0yVywqYMFhjMMQkYYhN1u6jUwLhR22GwbTPAyGoltjISUdiUiFmdMT34JCgeGHUHThyJuF1/wj4wna6X4Q91to8tPEvRFVVvB5PiBCzp6Qg+zw/ZXt2UVlcGNaj53G5GHTW+boA/PXrL9j240o8Lidu3S5ge9GcR3WhtvLdN1nzwbsR+3XJQ0+S2labyd67+Vd+ePu1iLYDJ56rC0uPs5Ga0uKItp6gtfDRcfEkZediNFswms2+W2A7JiEQnpfeoTOjLpsR1tbZUM8nTzyM16N9h0qShKqq+j2AwWjivDvuJyo+nuj4wERGVtfuTL7vIZ/nRtHvFZ8nJ7VNYN1rQmYWY6+YpXtjlGBbr5eMzt1026i4OPqOP1NvR9G9Q5p9UnZg2YbRbCG35wkoXiWsfXB/tbbj9ecM9EVBVRXdqwLoA3hVVfB6FGgykHY3BiYiFa+X8rwIiYwAmz1e2zBZUWUTv69dG8HyZ9r3H6QJy3YnQbuTWDnv7PCD+LUvkduztyYsh14DQ6/hs2kX0lgfJqphyWdo38G+AWt+p4h95bd3SGnTThOWPc6GHmez5oYZVBUVhjEuIT49QxOW6T0hvSc7/3cdpbt3hW062v83aYkFSyzVFdWUF+SHtfUvn/AjBXtzmyAR+n1oi40jJiERyWDAYDD6JgVkn/fboF1bX3spbdvjdDQEHTf6JgZk/Tw/bXv3xxZr17zjurfdqE8kmK0B73T34aPI6NC5+USD7xb8+ew7YSJdh48M8eBLQfbWaC3SxGa3YzBIeL3a5zLsZ9UgYbNrqy0HnjmJgWdOQlVVVFXxJbFWNVtVRTYG3tNeo0+h2/ARIceD7y3RgWiXzoOHkdPjBEBFVTRPoeYw1J4n+DPX5oS+XPbwU77k2P7PVKBde0pALGV26saF//ewdgwVFN+9zzY+PVO3Tc5ty6Rb7/Ud1z6nwX1Iyg6MI+LS0jn9hlt87QKKot372k3ObavbRscncMqV14ZtU1Uhta1vwjcuG4spkZMvnqa3439d/teY1s43kdxlAqY2jQwpjvPZ4rseKnWVFWz+bpn+/D5fpn4PYglRayOE5VFK7Nhcar8K/DA3/aEAKH3mZ812ZDbmTO1LTrYZA6LSKAfqMvoEo6VDvH6+Id5C5n1DD6l3yrljh16D0pSWRvr/3Ufxgw+hVFVh7dWL7CfnIftKj9TW1vLBBx/gcDjYunUrEyZMwGazHbK+HGpUVaWhuoqKgjwq8vN893upKMijprSEHiPHMn7mjYD2Q162dzeqomAwGrGnpFFVVBAQkr7wuuAfQNloZOLs27FGx+D1uPG63Xg9Hi08yIfBZGLEJdN9xwI2/m2/1wK0H62cHic0s/Hf22IDiUpUd2PIYM3r1mzwjRUddbXaxs9vwQez2Lt5EG41zMBmaylZ5dWasDRawVnDitJuNHjD1P58+ytSV+/kkoeegLbD4arvePeBx6kubbpWpBIWP0RS9ptc/ujTEJ0E0UksevBeqouLQjy2fiEck5DIqVddr7ew9pMPqKssD3htjQF7s81G95MC6+6Kd2zD5WgIbdO3bTSb9ckDPzW9pkcOcc6ZpIU4o3monA31EUWdP5wS4LcV31Gya0dYO4/LxaTb7sNo0rwGy15+lt+Wf6sfU5usI535/Bt6nzd88Qk/fxlhlhg4Ycx4XVhW5OdF8HJouJ2B+rdGk3Z9Q4VaQKzJhsDfSlq7DvQafWpEARifFkh003nIcNI7dtFtTJagc0zmEOHTechwOg8ZHrG/wSRl54SIsaZMe+JZ/Zr6IwpUVeW0a28mMSsnYti6LSaW7K4tmySLTUym9ykTWmQbl5rO6KlXtcg2Pj2D8+/6V4vbnflc+Ey9qqKgBvl4ouLjmfn8G7oIVZWAsFW9Xsw+zxRofwcX3P0vTdwqTUWrl9ikQKQEEoyeelWIrR5S6VX0SQY/PUediuL1hLVPzm0XYpvesTNORwOq14uzwUFlYR4hT0zogBW0AbolKhqDMSBm4lLTQ2w6Dx5GQ02NLnpk2YBsNCLLMrbY0CzEA8+chKOuVhdSkkHW7U2W0HWvoy6/EnejI9Qb7BeBxtD1tGfc8E9UVfEJuUA/pDC1o8dfc2OzxyIx+OzzGXz2+fs3BLoMHU6XoS37zKV37Bzy+7QvYhISQ4RmJOzJqUx78sUD/qxKkoQkRRbmgP4b0RJMVqsWMt4CLFHRWHKj928IWGNiyOrSbf+GaN897foOaLFt1xNP3r+hrw8njBm/f0PAEhXFwDMntcjWZLUy7ILm9dFrykrYuvJ7fSLFvxIhaEUCBpNJnywQHH6EsDxK2dgtj4oVv9GnoUtYUanK+Go0ajc/BruF1Ov6YogzI0eb9ikaD6Wg9NbVU/LoI1S9+RY5zz1LzMkn46mooGzeU3hLSjC3b0/Oc89iiAl8oUZFRTFw4EC+//57fvnlF3bt2sU555xDu3bt9vFMfz1ej4fqkmIqCvIwGo207aOlC/e4XSy4+tKIMTJ1FYGQFaPJxLm3/x/2lFTiUtOQZQM1H96Lw+WlIm108x/A4mXYzAbs/Qfts28ms0UTbftDVTF6G7jgmmlBaxWDSmcMmBbIBLr+DVh8Ddd3kfGqEl5V9t0kvIqMd/Q9GHv4kjyYY0DxMD5zKx5jDF6THa8pFq8xGo8xBiW1JzHtfOuR2p0M1/5Ep/c+ptHhCiuEEzKzNVtbAtgSMFmjMFmseD2ekJBHaP73WlVcRGVBHuGwp6SF7G9Z/jXFO8KvEbbF2kOE5TevvUDe5vBZOI1mCze89p6+/785d7Hn1/DhXf5r7A/bWfriM/sUal2GnqQLsG1rVu0zVNPjcurC0uOKEFolSRjNZt3zBlp4ZUanLhFFnckS+C7pPHgYiZnZIXamYAEYNFs+5NzJDD1vSou+U9r1HdDiAVBMYhIxiUn7NzzE2JNTwwrHxKwc0tp3POz9aQ0kWQ755ZFlQ7NJlUgYjEafB2f/yLKBvuPPbHG/xl5xTYttz739//TtmrISFl4/fb/erXP+efd+PSEnXXR5i/vQLei7ZX/oIYgtwBoTs3+j4wDxWT22sCenMu3Cvji+X0BFxyla+CvasOu0sV1I3PYmtpOuFt7KVkQIy6MQVVXZ8sFKxjcMjmjzefYqps/8e7OBnGSQMGcd3h+cuu+XU3jP3XgKtNAgx4YN2Pr1Z++VV+HauRNjRga5L76AMSE0BMtgMDB69Gg6derEokWLqKys5JVXXmHo0KGMHj0ak6lls4V/BlVV2fzdshAvZFVRoS5qsrv11IWlyWwhLlUTLImZ2dotK5vErBwSM7ObDbra9OoTsm+PiwqsuQsisXgZaRuf3H8Kba87dI1ifZlPLPoS3Ay5WktDDrD+NfjwushttTkxICxt8UgSmAwypuiUQOIa/63nYMj0eXc6jIKbNtM5Orl5LcGmWO1gtTP2qpZny7zskUAKddW3bsUvQpuGDZ9+/T9wORpCvbduNx6PG6M5tG89RowJeG999h63G8XjaTbTbE9KITEzO6wQNphCv1JdDftIYe/DH7Zjstq0m9/rZgoVdV6vRxeW7fr0Jzo+oZn404WdKeABHjLpQvpNmNhMLBqMzdfKDjhzEgNaOKOc0akLGZ267N8Q9FDbYw2b3Y7BZPJdezFLfjSjDVj7739yTwxYj0rEZ/XYwR5twn7ajZAzCb66UX88ccxM0jqnHdblJYLmSGrT0ZigRfjLjezdu5fs7OzD+twur4viO1aFeCr9y5eD99MeGIK5aYrqw4i3upriBx+i+v33ATBlZ5Mx535s/fqx96qraFi5CkN8PG3++4YeHhsJp9PJF198wVrfWpvU1FSuuOIKzOY/9/pUVaW2vCwgHPP3YrRYGHnJdN3m2ZmXhXgbAYwWC4kZ2WR07srY6YGF64rXGxLWd8B8+28t1f3OwXi9KgaDpKW6HzxZy3zqF4z+rKjDboAsLd02617dt1ic9EIgU+lvS+CtKVpx+KZCMToFuk+EdC3pCW6HdrPGQ5gwKkEAv4fDT/GObbx5198DYcRh4nZEooGjm5qyEhzTp2N78UVxDY8Rinds4/XbbtT3L577uPBuHQOIz+qxhV7z2zdZcCT8jramNjhSEB7LoxCzwYxhRBLKt4FELl7nToyWgDgzjEhqVVFZ9913FNxxB97SMpAkEi65mNQbb0SyWMi/aTYNK1chRUWR8/xz+xWVABaLhTPPPJPOnTvz4Ycfkpube0CiUlG8IV6TpQsXUPD7FioL8kPWgoEWXhcsLLuceDIep1PzPvq8kLGJyWHXqhy0qFQUKN8GcdnYT76SaTyHw23CZnJjNzk10bguTJ3BrqcHhGV0ipbKXBeKyb5sqL7t4CL3HcfCHUVa7bb9YbK1zE7QzAOY1r4j0554rtkaH1qwHk9wdGBPTsWuSiCu4TGD8G4dm4jP6rGFPTmVaY8/q00WzG99USnQEMLyKCVzQg9qzFrJEfspbbA/8TA1NzwV2B+T26r9U10uvKVlmNu1I+OBB4jq1xdVVSm6515qv/gCyWQi56l52Hr1OqB2u3TpwjXXXBMSBltdXY2iKCQkJNBQUx0Stlrp2wa0VOw+yvbsomTndkATg/FpGSFhq8Gep2CRecioL4O8nyD/J9/9OnBWa8fOehq7VcVuqvMVBo9pLhL9dRYzA6Vk6HgK3FXWMq+isfUmHY43xBofgeDoQgxYBYKjAzFZcOQhhOUBMn/+fObPn4/LFa5ExOHFPiY3ICCfaLJ/mFFVFU9hIaZMLWFH7NixZD78MLGnnoLsS/hR+vgTVL3zDkgSmQ8/TPSJJx7Uc9lsVmpKSigsLSanxwksXryY/Px8UryNVG9cFyaVESBJuJ2Nepa9QWefT//TzyYxK5u41HQMxr/wo+D2FQG3xWv725fBa2ES7BitkNEHtn0FXhcoEuDRwl1bUucwUv1FwRGB8IIIBEcPYsAqEAgEB44YiR4gs2bNYtasWXoctQDcxSUU3XcfjrVraf/JxxiTtfIXcWcGismXv/wy5c8+C0D6vfdiHz+uRW2X5+2lZNd2rWyH3wtZmI/X40GSZGY89zperxeXy0U+MsbsDiS76knJyAwkz8nUPJHBCVva+RLuHHIUBSq2h3ojizfC8Jtg9J2aTVovQILkTpA1ALL7a/dpPWD5f+DrB7REPY8uh5uHa/vQMnEpOGIRXhCBQCAQCATHMkJYCg4aVVWpXrRIq0NZWwsmEw1r12Efd2qIXdXixZQ8+BAAKTfdRMLkC0LaqK+sCISvFuYx8pIr9LWKqxe/w5bvv2723EaTmYTMLPC4uPzyy1mxYgXLli3DE5tAbXQ2oyZOpEuXlmWsPCQ0VMB70yF/LTRWNz9eujWwHZMCt+7RsqIG8+2/A6JyxC2asPSLSSEujwmEF0QgEAgEAsGxihCWgoPCnZ9P4V13U79iBQDWXr3IeGAO1s6hBY5rl31N4R2apy7xsstIunIG29as4o/VP2hisiAPl8MRck6fU8/Qi16nd+hMbVlpE+9jNvbk1JDkOcOHD6dDhw4sWrSI0tJS3nzzTfr378+4ceP+dObYwItuhKJfNPGY9xPEpsM4n+CzxmuPOWt8Ia29Q72R8U1ClJuKStBSZPtFZTD+fZFCWyAQCAQCgUBwhCKEpeCAqXzzTUoefgSloQHJYiHl+utJvOxSJKORxro6Kgq0sNXidT9RuPQr6jpmMrpDT1L/eQuSJFGyazubg7yQkiQTn55OQmY2SVk5GM2BxDz9JpxJvwktK46dkZHBlVdeybJly1i5ciW7d+9uUUH2ffLru7BnlRbWWrQRlEAxeRLaBYSlLMM5C8CeCWk9wXAQNTZH3Rb5mPBUCgQCgUAgEAiOYISwFBwwjq1bqXO7iOvfj5w5c7C0a8cvX33GD++8TkN1VahxrFamwnjRZN3D2LZ3fwxGk+59jEvLwGg6CCEWBpPJxLhx4+jcuTNWq1XPHqsoCqqqYohUDqS+XPNE1uTBgGmBx394HIp+DexHJUP2gIA30l+TELTSHwKBQCAQCAQCwXGIEJbHADVlJTgkFVtZySFNCOJ2OaksyKd8727Kd+6gqqJMD1/1dm/DubfcjKVdOwCMZrMuKmPi4rEWlxJd10BCajod/v4PMrr10NvN7NyVzM5dD1k/w9HO1y8/K1asYNOmTUyaNImUBDsU/hJU6mMtVO7UDA1m6PM3MPoS/fS6ANqeHBrS+me9oAKBQCAQCAQCwTGGEJZHOTVlJSy88Sq8VhXDjVcx7fEDyzapqioN1VV68pzcnieQkKGtb/zth2/5YsGTYc8zGI04agJJatr26c/Fcx8nxmiicNoVuPPysHTtSptnX8TQmmUVVBVX8VZWrVpFXV0dzz77LKckFzOw6FWaVXtM6qR5I511AWE57PrD3WOBQCAQCAQCgeCoQwjLoxxHTQ1et7buz+t246ip2aewrC4pZuvK732lO/ZSUZCHs75ePz72ilkkZGShulzIK3/E5PUS0+gixgs5k6eQ2usELXw1JU3P3AoQZY/DosLuSy7FnZeHKTeX3OefO/yisqEikFwnX/NGmh2VXDntBz74dj3bt2/n06IktsqTObtNPfa2fTRvZGZfsCUc3r4KBAKBQCAQCATHCEJYHqXUlJXgqKmhIn9vyOPFO7dTtnc3jtoaHLU1VOTn0f3kUXQadKJ+3vf/fTm0MUkiLjWNxMxsouMTcGzcROEddyBt3cpYIHb0aNLvuQdTWmTBqjgc7J15Dc7ff8eQkkzuiy9gTEk5xK96H/z6rlaSo2JH82MGC3ZXERdffDFr1qzhiy++YIcnk6cLrZzRfwI9O/Q8fP0UCAQCgUAgEAiOQYSwPArRw199nkpJklBVFYAvn5vXzD4+PUMXlknZuXQdNsJXuiOHxKxs4tMzMJktKC4XZfOeYtfCheD1YkxIIO3OO7Cfdto+s6uqbjd5N96IY906ZLud3BdewJyTc2hftKpqojHYGzn2Xmh3snbcYAqIyqSOvuQ6AyCrv5al1WhGAgYNGkS7du14//33KSgo4P333yc7O5v4+PhD21+BQCAQCAQCgeA4QgjLA2T+/PnMnz8fl8vVan0IDn8FdFHZlE6Dh5HdrQdZXbrrj0XZ4zj9+n9EbLv262Xg9WI/7TTS7rwDY2LiPvuiKgoFt99B/bffIVmt5Cx4BmuXLgf4iiJQtRc2vBFIsOOoCD2+Z3VAWLY9CS5+TxOS+wlpTUlJYfr06Xz33XfYbDYhKgUCgUAgEAgEgj+JEJYHyKxZs5g1axZ5eXnkHGqvXAux2e0YTKbmHktJ0jx7gMFkYuSl0/ebyEdpaEAymZBMJmSzmcy5c/EUFxM7dux++6GqKsVzH6Tmo4/AaCT7iceJ6tfvwF+Qx6WV9MhfCyldoP0I7XFHJXwzN2BnsEDGCQFvZO7QwLGoROi4/z7rTRkMjBo1KuSx/Px8fv31V8aMGaOXKREIBAKBQCAQCAT7RwjLoxB7cirTHn9WX2O55KlHtQOqymnX3kxiVg42u32/orJ+5UoK77qb+PPPJ/mqKwGw9eoFvXq1qB/lCxZQ+dprAGTO/RcxI0bs/yRV1Up75K0NlPso+gW8Pg9wn78FhGVqd20/o4+WYCetFxjNLerbgeL1elm0aBHl5eVs376dSZMmkZGR8Zc8l0AgEAgEAoFAcKwhhOVRij05NaxwTMzKIa19x32e662tpeTfD1P1v/8BUP3++yRNvRzJ3HLRVvnmm5Q+oZUiSbv9duLOPDO8oaNSy9Sa1EHbd9bAk32b29kSNS9k9oDAYwYjnP10i/v0ZzAYDIwbN44PPviA0tJSnn/+eUaNGsWwYcOQ5WaFSQQCgUAgEAgEAkEQQlge5QSHxRpMJmz7Ke9R+803FN1zL57iYgASLppCyuybD0hU1nz6KUX/dz8AydfMJPHSS7QDHhcU/xrwRuavhfJtkHsiTPtUs7HGQXovLaw1e4AvrLU/JLTTQnlbkc6dO3PNNdfw0Ucf8dtvv7F06VJ+//13zjnnHBL3s9ZUIBAIBAKBQCA4nhHC8ihHD4udPh3b/Gcjhr96KispnjuXmg8/AsDUJpeM++8netCgA3q+uuU/kH/LP0FVib9wMsnXXacdeHMKbFsKXmfzk5y1WgisXzhe+R0coV7A6OhoJk+ezM8//8ySJUvYu3cvzzzzDDNmzCA1dd+hxQKBQCAQCAQCweHi448/5uabb0ZRFP75z39yxRVXtGp/hLA8BrAnp2JXJdjHmkpvZSW1n30OskziZZeRcv11yDZby5/EUYnz+3dxLPwX2UPqsaRHY7rrrkAZElXRRKUtIajUxwDI6qcl1gnmCBWVfiRJok+fPrRp04b3338fk8lEyuGsySkQCAQCgUAgEOwDj8fD7Nmz+frrr4mLi6N///6cc845JCUltVqfWn2EP3/+fNq2bYvVamXw4MH8+OOPEW0XLVrEgAEDiI+PJzo6mj59+vCaL3mMH1VVufvuu8nIyMBmszF27Fj++OOPEJuKigr+9re/YbfbiY+PZ/r06dTV1f0lr681URwOfdvSvj3p995L2zf/S9o/b2mZqNz8ISy6Cub1h4faYlnxd1K6VhCb5cRsqECqLw7YjrkHrlsHt+yEi9+FkbdCp7HNReVRREJCApdffjnnn3++LqCdTmezvyeBQCAQCAQCgeBw8uOPP9KjRw+ysrKIiYlhwoQJfPHFF63ap1YVlm+//TazZ8/mnnvuYd26dfTu3Ztx48ZRUlIS1j4xMZE77riDlStX8ssvvzB16lSmTp3K559/rtv8+9//5sknn2TBggWsXr2a6Ohoxo0bR2Njo27zt7/9jU2bNvHll1/y8ccf891333HllVf+5a/3UOIuKMCxaVPg1tgY2N64ifKXX2Hb6DE4fv5ZPyd+0jnYevcObUhVoWIn/PoufHorOIME9u4f4Je3tHWSgKvWQF11Bsro/4MrlkJ0kBcvrbuWoKeV10keamRZxmq16vufffYZb7zxBh9++CFOZ5iwX4FAIBAIBAKBYD989913nHnmmWRmZiJJEosXL25msy8HXEFBAVlZWfp+VlYW+fn5h6PrEWnVUNjHHnuMGTNmMHXqVAAWLFjAJ598wsKFC7n11lub2Y8cOTJk/4YbbuCVV15h+fLljBs3DlVVefzxx7nzzjs566yzAHj11VdJS0tj8eLFXHjhhWzZsoXPPvuMNWvWMGCAloF03rx5nHbaaTzyyCNkZmb+tS/6EOAuKGD7qaegepTQA+ee18y24tXXyHo0SEw2VmslPvLXBu4bygLHu50JbYdp213PQFHNFL/6JbWbKzDkdKbN668hJyT8Ba/qyEdVVWw+T++6devYuXMn55xzDrm5ua3cM4FAIBAcSvLz8/myUydOyc8PGbgJBALBoaK+vp7evXszbdo0Jk2a1Oy43wG3YMECBg8ezOOPP864cePYunXrEZv3o9U8li6Xi7Vr1zJ2bKCovSzLjB07lpUrV+73fFVVWbp0KVu3buXkk08GYOfOnRQVFYW0GRcXx+DBg/U2V65cSXx8vC4qAcaOHYssy6xevTri8zmdTmpqavRbbW3tAb/mQ4WnsrK5qAxD/JQLybz+AqgPEo4b3oTXJ8HXD8Afn2uiUjZBZj8YdGVI6Ko3pR+7X9xC1YZqpORscl98AeNxKipBW3t56qmnctlllxEXF0dlZSUvvfQSS5cuxePxtHb3BAKBQHCI+Pnnn9kVG8svv/zS2l0RCARHGbW1tSGaIVKE24QJE5gzZw7nnHNO2OPBDrju3buzYMECoqKiWLhwIQCZmZkhHsr8/PxWd5C1mseyrKwMr9dLWlpayONpaWn89ttvEc+rrq4mKysLp9OJwWDg6aef5pRTTgGgqKhIb6Npm/5jRUVFzVS+0WgkMTFRtwnH3Llzue+++5ofmDoVDiQJzqEgKKx3X8SXzUN66THY3RnKM7QHo2qgnRXq7VAfq907YkCVga3APwFQFIW8/AIaHQ4MBgO5ZjOmoyxc+K+iHTBTlvk0J4efk5L4/vvv+ePzz7lgxw4SXa5D90Q//ggTJx669gRHBuK6HnuIa3pMUGU202AwALCpY0cwmdi4fDm9X34ZgCivl/hD+R0vOPyIz+qxx5F0TX25Tbp37x7y8D333MO99957QE35HXC33Xab/lhTB9ygQYPYuHEj+fn5xMXF8emnn3LXXXf9udfwJznqssLGxsayYcMG6urqWLp0KbNnz6Z9+/bNwmQPNbfddhuzZ8/W9/Pz87U/nJdeguzsv/S5m7FpU9iw12ZIgDUerpoGQ2a2uHnV46Hgppto2LYdOSqKnFdfxdKzx0F391jECpwDdN60iY8//piaqCjMd98NMTGH7kkmToQPPzx07QmODMR1PfYQ1/SowOPxUFhYSG1tre5R8G/X1tZSVlbW7Jx6k4nnunXT92+44Qbi4+MDGdEFRxfis3rscSRd07w8yMlh8+bNISH0FovlgJtqiQPOaDTy6KOPMmrUKBRF4ZZbbmnVjLDQisIyOTkZg8FAcXFxyOPFxcWkp6dHPE+WZTp27AhAnz592LJlC3PnzmXkyJH6ecXFxWRkZIS02adPHwDS09ObJQfyeDxUVFTs83ktFkvIH0ZNTU3LXmhrMvl1OHHcASXUUVWVwnvvpfbLr5BMJrKfno9NiMqI9OjRg9zcXCorK4kJEpUNDQ1ERUW1Ys8EAoHg2EdVVRwOR4hIDN5u06YNw4ZpeQOcTicvvvhixLYyMzMpKipCUSIvNXniiSewWq0MGTJEn9BWVRVVVZGP8FJaAoHg8BAbG4vdbj8szzVx4kQmHikeW1pRWJrNZvr378/SpUs5++yzAS38cunSpVx77bUtbkdRFD12uV27dqSnp7N06VJdSNbU1LB69WpmztQ8dkOHDqWqqoq1a9fSv39/AJYtW4aiKAwePPjQvcAjgficA87SWvrYf6h+9z2QZTIffYToIUP+os4dO8TGxhIbG6vvb9q0iY8++ojTTz+dXr16tWLPBEcaIiGIQNByXC5XiEfRLxjT0tLo27cvAA6Hg3//+98R2zD4QlsBoqKiSExMJCoqSv/ettvt+nZCQgIOh4PnnnuuWTtdunShurqakpISGhsbQ0RkVVUVzzzzDOnp6WRkZOg3/wS6QCAQHCgH64BrbVo1FHb27NlcdtllDBgwgEGDBvH4449TX1+vZ4m99NJLycrKYu7cuYC2znHAgAF06NABp9PJkiVLeO2113jmmWcALbnKjTfeyJw5c+jUqRPt2rXjrrvuIjMzUxev3bp1Y/z48cyYMYMFCxbgdru59tprufDCC1t9wWtrU77wJcqffx6A9PvuxX7qqa3co6OT9evX09jYyHvvvcfWrVs5/fTT9WyyguOb4IQgQlgKjlcURaGuri5ELMbFxdGlSxcAGhsbefzxx0PKhAXTtWtXXVjabDaMRiNmszmsWAzOqSBJEtdff/0+++YIqv8czIgRI8jMzMTj8VBaWhoSkVJYWIjL5WLPnj3s2bNHf9xgMJCWlsZJJ51Et6BwWoFAINgfh8oBd7hpVWE5efJkSktLufvuuykqKqJPnz589tlnejzxnj17QmYF6+vrueaaa8jLy8Nms9G1a1def/11Jk+erNvccsst1NfXc+WVV1JVVcXw4cP57LPPQmoRvvHGG1x77bWMGTMGWZY599xzefLJJw/fCz8CqVr0PiW+Wd+Um2eTcP75rdyjo5cpU6bw/fff8+2337Jx40Z2797N2WefTYcOHVq7a4JWoKysjMrKShobG/UMkxs3bqR3796oqkpUVBQJx3G2ZcGxg6qqNDY26oLRYrGQk5MDaN7Hl19+mdraWurq6lBVNeTcrl276sLSYrHombZNJlMzsRg8CSxJErfeeitG46EZzkRHRxMTE4PdbqffqlWsGzKEmpoaoqOjAW1NU/BSG9C8mddccw2FhYUhN5fLRUFBAV6vV7fdsWMHn3/+eYhnMy0t7aDWYAkEgqOburo6tm3bpu/v3LmTDRs2kJiYSG5u7n4dcEciktr0213QIvLy8sjJyWHv3r1kH+bkPRHrWAYhGWU6fPElphZ4YWuXLiXv+hvA6yVx6lRSb/mHSExwCMjLy2PRokVUVFQAMHjwYMaOHYvJZGpZA0fSgnQBAF6vF4fDQUNDQ8gtOTmZtm3bAlrm6rfffls/5mpBFkmbzYbVam12y83N1T0zqqqydetW/ZjFYtHvxdquVuY4+Ky63W5dECYmamWpPB4PixcvDglVDS691LVrVy688EJA+/t94IEH9OOSJOkCLjY2lpycHH0tJEB5eTnR0dFYLJbD/nvk8XgwGAxIZ52F+sEHeL3eAxauiqJQWVlJYWEhbdu21dfgL1++nK+++qqZfXJyMhkZGQwfPrxZsg7BIeQ4+KwedxxB1/RAtcE333zDqFGjmj1+2WWX8bIvG/VTTz3Fww8/rDvgnnzyySN66d5RlxVWAKbMTDp88SWeysrAgzfdBP/5j75rTEhokais//FH8m+aDV4vceecI0TlISQ7O5urr76aL7/8kjVr1rB69Wq6dOlC+/btW7trArSBXziR6L/l5ubq4WsVFRU899xzEUPzBg4cqAtLo9FIQUFBi/ogy7Lej0gheH5h6XK5eOutt8LaWCwWevbsyZlnnglog/jFixfr4jP4ZrFYiIuLIzk5uUV9FBzbKIqC2+3WPWZer5dvv/222dpG/99nly5dmDJlCqCFev7222/N6vharVbsdntI8gpJkpgyZQo2m43Y2Fiio6P3OSHSmpkNg0WkJEkH5Q2VZZmkpKRmr6NPnz4kJyeHeDb9GWnLysoYOnSobvvrr7+yefPmEO9mzKHMPC4QCFqVkSNHNoveaMq11157RIe+NkUIy6MUU2ZmqHC0WqHHgWVvbdy8mbxrZqG6XMSMHk3G/f8nROUhxmw2c/rpp9O5c2f27t0rROVfjNvtpqioKKJY7Ny5s560q6KigqeeeipiWx6PRxeWFoslRFTabDaioqL0W7CHwWazMWXKlJDjFRUVPO9bvxzM9OnTiY2NpbGxMeTmdDppbGwMWR/m8XjIysoKsfOH2DmdzpBMli6Xi59//jnia+vWrZu+hEBVVR588EHMZnMzb6jVaiUzM5N+/frp527fvj3E1mq1YjQaxXfHEYyiKPz6669hM6fW1dXRqVMnXSzKssyKFSuaiUWgWSIaSZKYMGECZrM5JFQ1UlSGWA4AMTExdO3ala5du+qP1dbWUlRURGFhYchnfufOnWzZsoUtW7boj8XGxuoic/DgwSL7uEAgOKIQwvI4xbVrF3tmXIlSV0fUgAFkPfYo0iFaoyJoTqdOnejUqZO+X1VVxccff8xpp52mh5UJNFRVRVEUfRDrcDjYunUrDQ0NYT2Mffr00UPoqqur91lOIDh7r39AZrVaQ0RgVFQUNpuNNm3a6LY2m41Zs2bpx/blaZFlWV8r5ieS6JIkqZlnJxLR0dHMmDEj5DG3262L0KZellNOOaWZYPWL1uA1nS6XC6fTidPppLa2ttnzdu3aVReWqqry+uuvN5thNRgMWK1WOnbsyDnnnKM//umnn2IwGMJ6TmNiYlq93tbRjKqq5OXlNSuv4d/OyMjgvPO0eseSJPHxxx/jdrvDthV83SVJ4sQTT8RgMDRb22iz2Zr9LfsnagQHj//9Df6NAO29TUpK0kVnWVmZfp1///13hgRlbV+7di0VFRW66ExISBAh8gKB4LAjlMRxiLu4hD3Tr8BbXo6lWzeyn3kaOSi5keCv59NPP2Xbtm0888wzjB8/nn79+h2zHh+Xy0VDQwMmk0lPgFFbW8uaNWsiehaHDx/O6NGjAS1p1+LFiyO2XxkUEh4dHU18fHwzoei/Bafottls3HXXXS0qByDLMikpKQf5Duw/IcjBYjKZMJlMzcLjzGZzyHq1/bVx/fXXh3hKg2/B4s/j8ZCWlhYiUlVVxev1Ul9fH7KeVFVV1qxZE7EmYNu2bbn88sv1/SeffBJFUcJ6TVNSUhgwYIBuu3fvXoxGY4hdaw2iD2UJGVVVaWhoCFuPsaamhqSkJMaPH6/bv/rqqxHFotls1rclSaJ79+4AYTOnNv378X/2BK1LVlZWyN+U0+mkuLiYwsJCqqurQ7KN//rrr+zatUvft1gsIeVPevXqJYSmQCD4yxHC8gCZP38+8+fPb1FCjiMRb1UVe6+4And+PqY2ueQ+/xyGIC+O4PAwYcIEGhsb2b17Nx999BFbt25l4sSJR/z6GbfbHSIAg9fqVVZWsnTp0mYi0R9Sd/LJJ+sDVpfLxXfffRfxeRoaGvTt6Oho2rdvH1EsBnvfbDYbN954Y4teiyRJh63GXFxcHDfeeKOWEOTjj+k/Y8ZBJQT5K5BlucVec5PJxNVXX63vq6qKy+XShWbw+6mqKiNGjIgoWOPj40NsKysrI641adu2bYiw/O9//9tsTao/PDc7O5sLLrhAf/zrr78OEazBYjQ6OvpPZ+RtaQkZf03GYLFYW1tLTEwMw4cP1+0ef/zxiGKxrq5O35YkiaysLLxery4QgwVjXFxcyLnBnmTB0YnFYiE3N5fc3Nxmx/r+P3v3HRbF9fUB/Lv0pRepUhVFIIAFG2rEChh7LzFg74pGYxfUn2KMWGPsiiYmYsNeIYCI2MEGoiCKBUXFRi973z94d8LAsiyCruj5PM8+snfu3DlTdp2zd+ZOo0YwMDBAWloaXrx4gby8PDx69AiPHj2Curo6nJ2dubpXrlyBoqIiTE1NYWho+EV8DxFCvg70bVJJEyZMwIQJE7iRn2oSUXY2Ho8dh7z796FkaAjLbduhRAN4yIWuri68vb1x8eJFhIWF4d69e/jjjz/QrVs32NvbV2svSHkKCwslXlpqYmLCHduvXr3CgQMHuGmlT3jbtGmDDh06ACi+j+v27dsSl6WoqMgbcl9TUxNNmzYtN1ksed+QUCjETz/9VN2r/9lVx4AgXxqBQABVVVVuQKCSFBQU0LZtW5nbGj9+fLn3mpZuW1tbG0pKSsjNzeWOyfz8fK53vCRxz7gkJiYmvER527ZtyM7OljhCr66uLpo2bQqg+FL2x48fQ0FBAbdu3QJQnGBqa2sjOzsbGhoacHNz49pduXIl3r9/X24M4sRSfGl0Tk4Or0dRnDCWToJL9viSb5uLiwtcXFwAFA/A9PLlS+4SWgUFBd4VMVFRUdzxqKCgACMjI65ns3QvKSGEVEbNP7MhMmH5+XgyxRc5cXFQ0NaGxbatUDGn/zzkSUFBAW5ubqhbty4OHjyIFy9eIDg4GH369MHjx49l6gURq2iE0zp16nD376SlpSEoKAh5eXkS22rTpg2XWCooKCAtLY03XSAQ8O5FFNPS0oKnpydXXjJJVFFR4Z3YqKqq4ocffqj0NiNfJ4FAUKlLjceNG8f9XVRUxEtGS/dCN2vWDNnZ2RJ7Tkvf2/r69WupSag4sVy9enWZ6bm5uTh79iz3vmRiKR7MRllZmZcwamtrl7nPdMKECXTJIqkSRUVFmJiYwMTEBA0bNuRNKyoqwnfffceNSJubm4vnz5/j+fPniI2Nhbm5OUaOHMnVj42NhZ6eHkxMTHjPAyeEEEkosfwGMJEIz2bPQVZUFARqarDYuBFq9evLOyzy/4yNjTFq1CicPHkSDx48gI6ODk6dOgWguBdER0eHGwFUfA9WdnY2nJyc4OTkBAB49uwZtm7dWu4yFBUVucRSVVWVSyoFAkGZJLDkYyi0tLQwePBg3vTyniunoqLCG0yCkM9BUVERGhoa5d6v6u7uLnNbP/30U7m9piXb7927Nw4ePFhuO6UHbxo6dCjX81kRSirJp6SoqIjOnTsDKL4E/e3bt7xHn5iVGG0+Pz8fR44c4S5R19fX5z36xNTUlEalJUSCdu3aQVlZmbvK8VtCieVXjjGGF0uW4v3x44CSEszXroF640byDouUoqSkhGvXrgEAtm/fzpXn5ubizJkzEucxMjLiEkvxf+6lk0TxS/yMRaD4fr+JEydCXV29wkFPlJWVUZ9+hCDfiJKDO0nj7OyMWrVqYfPmzWWmjR49mndyDoB3PykhXwqBQAA9PT3o6elxgzuVlJubCzs7O26woIyMDGRkZODOnTsAij8HvXv3BlDcE5qUlARTU1NoaWl9tYPRESKL8PBwmJubyzsMuaDE8iv36o8/8Gb3bkAggNmyZdD8/nt5h0TK0bt3bxw6dKjcUTQtLS1Ru3ZtLlk0NTXlpunq6so8wqmioiKvV5IQQggpTVtbGwMHDgRQPKBayZ7N0r2br1+/xj///AOgeMC10j2burq6lGwS8g2gxPIrlvH333i1rvgB8MZz50KnK93T9iWrbC9ISXT5HCGf16d6hAwhXyJ1dXXUrVsXdevW5cpKjuKcm5sLIyMjvHz5EllZWUhKSkJSUhI3vX379vj+/3/YzsvL4x6fQ/93EfJ1ocTyK/Xu+HG8WPw/AECtCROg/+MQOUdECCFfjy/5ETKEfA4leyAtLS0xfvx45OfnIz09ndezmZ6eDmNjY65uSkoK9uzZA2VlZd6zNsWPP/lcj4EihFQ/+h/wK5QZFYVnM2cBjEFv8GDUmvht3Thck1EvCCE1x9f4CBlCqkJFRQXm5ua8+8vEzzIWy8rKgpKSEgoKCvD48WM8fvyYm6aoqIgBAwZw9/bn5eVBQUGBG1mZEPJlo/8Fa6iCZ89Q+ObNfwW5ucCdO8hNTMTzhYuAwkJod+kC43lz6b6GGoR6QQghhHxNSv//1aRJEzRq1AivXr3iejXFz9zMy8vjPa/12rVrOHv2LAwNDXk9myYmJlBVVf3cq0IIqQCdrdZABc+eIdnTCyw/nz+hT9///hYIYDhlMgR0/0KNQ70ghBBCvmYKCgowMjKCkZERXFxcABQ/j/nt27e8UZRfv34NxhjS09ORnp6OGzducNMMDAwwZMgQ6Ovrc/NLu2fz6dOnOFuvHjo9fSrT86HJl4/26ZeHzlgraf369Vi/fj3ySyd1n1Hhmzdlk8rSGENRZubnCYgQQgghpAoUFBS4JFGsa9eu+P7773n3bD5//hzv379HRkYGtLS0uLonTpzgHnlSsmdTXOfGjRt4qKWFmzdvUhLylaB9+uWhxLKSxA87ffLkCSwsLOQdDiGEEELIV0kgEEBHRwc6Ojpo0KABV56ZmYnXr1/z7r1MS0vD27dv8fbtWyQkJHDlQqEQtWrVwuvXrwEAt2/fhq6uLnJzc6Gqqgp1dXUIBALutiFlZWXY29tz8z98+BDZ2dnc9JJ1FRUVYWtry4shJyenTD3x35aWllzd169fIzc3V2JdoPhZ1eIe2Pfv33MdGpLq6ujocHVzcnK4+1olxVzy+dWFhYUQiUQS64n//tJup3r79i2ys7MBgHum6u3bt7meb3V1dXp2sBxRYkkIIYQQQmoMTU1NaGpq8sp+/PFH7l5N8evVq1fIycnhDRCUlZWF06dPl9u2uro6L7H8999/kZqaKrGusrIy5s6dy70PCwvjPWalNH9/f+7v0NBQXgJc2pw5c6CiosLVvXnzZrl1Z8yYwQ3yFxYWhqtXr5Zb19fXl0u8wsLCEBMTU27d8ePHw8jICAAQHh6Oc+fOlZuEDhs2jHss2sWLFxEREVFu3QEDBnCdM3FxcQgPDy+3brdu3WBtbQ0ASEhIQHBwcJk4s7KyeI9qK7mdyedFiSUhhBBCCKnRhEIhbGxsYGNjw5Vdv34dR48e5T1zsyRjY2MuQWWMgTEGNTW1MnXE00rWA8oOTKSrqwsjIyOJdUvT0NCAjo6OxLqMMV5PoYqKCtTU1GSqCxQnZOUttzJKtitepiztFhQUcL2xkhQVFXF/5+bm4t27d1LbEhP3BpdHQUEBPXv2rDA+8ukIWHUced8g8aWwjx8/5g2r/Tnk3LmDhyUH6imH9YH9EDo6foaIyCfRvTtw5Ii8oyDVjfbr14f26deJ9utX4dmzZ7zeLLHRo0dzPWxfs9IJoYKCApcwii+FLS9xVlVV5Z4rmpeXh/z8/HLramlpcYl2dnY2srOzy62rp6fHjeqbmZmJt2/flqkj/tvIyAjq6uoAii8JfvnyJV6/fo0TJ06UWVd571N55gZfCuqxJIQQQggh5Csk7T7Jyow6r6qqKvMjXtTV1blksCKSLmsuj7a2NrS1tSEUCmWqTz4/ehYFIYQQQgj5KmloaEBTUxNmZmbompoKMzMzaGpqcvckkpqH9umXi3osayAlPT0IVFSkPnJEoKICpRIPGSaEEEII+dbo6OjA19cXioqKEBw7hiajRqGoqIieEV2D0T79ctEeqIGUzcxQ99RJFL5581/h1KnAqlXcWyU9PSh/A/cOEEIIIYRIUzLhEAgElIB8BWiffploL9RQymZm/MRRTQ2ggXoIIYQQQgiRm3bt2kFZWRkTJkzAhAkT5B3OZ0WJJSGEEEIIIYRUg/Dw8G92VFgavIcQQgghhBBCSJVQYllJ69evh4ODA9zd3eUdCiGEEEIIIYR8ESixrKQJEyYgPj4eERER8g6FEEIIIYQQQr4IlFgSQgghhBBCCKkSSiwJIYQQQgghhFQJJZaEEEIIIYQQQqqEEktCCCGEEEIIIVVCiSUhhBBCCCGEkCqhxJIQQgghhBBCSJVQYkkIIYQQQgghpEoosSSEEEIIIYQQUiWUWBJCCCGEEEIIqRIleQdQ06xfvx7r169Hbm4uACAtLU3OEf2/nBzgyRN5R0GqE+3TrxPt168P7dOvE+3Xrw/t06/PF7RPxTmBSCSScyTyI2CMMXkHURNduXIFzZo1k3cYhBBCCCGEkC/E5cuX0bRpU3mHIReUWH6kwsJCxMbGwtjYGAoKFV9R7O7ujoiIiE8Sy4cPH+Dg4ID4+HhoaWlVe/ufMvZP3X5Njf1T71OAtrs82qbPqnza/pTt02dVfu3TZ1U+7dfU2GmfyqftT9n+l/b9KxKJ8OLFCzRq1AhKSt/mRaHf5lpXAyUlpUr9GqGiogJzc/NPEsv79+8BALVr14a2tna1t/8pY//U7dfU2D/1PgVou8ujbfqsyqftT9k+fVbl1z59VuXTfk2NnfapfNr+lO1/id+/lpaWnySOmoIG7/lMJkyYIO8QPtqnjv1Ttl+TY//UaLt//rY/Ndru8mv/U6Lt/vnb/tRou8uv/U+lJm+Xmhz7p1aTY5cHuhT2K/D+/Xvo6Ojg3bt3n+wXG/J50T79OtF+/frQPv060X79+tA+/frQPv3yUI/lV0BVVRV+fn5QVVWVdyikmtA+/TrRfv360D79OtF+/frQPv360D798lCPJSGEEEIIIYSQKqEeS0IIIYQQQgghVUKJJSGEEEIIIYSQKqHEkhBCCCGEEEJIlVBiSQghhBBCCCGkSiixJIQQQgghhBBSJZRY1nDr16+HtbU11NTU0Lx5c1y+fFneIZEqOHfuHLp16wYzMzMIBAIcOnRI3iGRKgoICEDTpk2hpaUFIyMj9OzZE4mJifIOi1TRhg0b4OzsDG1tbWhra6Nly5Y4efKkvMMi1WjZsmUQCATw9fWVdyikCvz9/SEQCHivBg0ayDssUkVPnz7Fjz/+CAMDAwiFQjg5OeHq1avyDuubR4llDRYcHIxp06bBz88P169fh4uLCzw8PJCeni7v0MhHysrKgouLC9avXy/vUEg1iYyMxIQJE3Dx4kWcPXsWBQUF6Ny5M7KysuQdGqkCc3NzLFu2DNeuXcPVq1fRvn179OjRA3fu3JF3aKQaXLlyBZs2bYKzs7O8QyHVwNHREWlpadzr/Pnz8g6JVMGbN2/QqlUrKCsr4+TJk4iPj0dgYCD09PTkHdo3j55jWYM1b94cTZs2xe+//w4AEIlEsLCwwKRJkzBr1iw5R0eqSiAQICQkBD179pR3KKQavXz5EkZGRoiMjMT3338v73BINdLX18dvv/2GESNGyDsUUgWZmZlo3Lgx/vjjD/zvf/9Dw4YNsXr1anmHRT6Sv78/Dh06hLi4OHmHQqrJrFmzEB0djaioKHmHQkqhHssaKj8/H9euXUPHjh25MgUFBXTs2BExMTFyjIwQIs27d+8AFCch5OtQVFSEPXv2ICsrCy1btpR3OKSKJkyYgB9++IH3/yup2e7fvw8zMzPUqVMHQ4YMQWpqqrxDIlVw5MgRuLq6ol+/fjAyMkKjRo2wZcsWeYdFQIlljfXq1SsUFRXB2NiYV25sbIznz5/LKSpCiDQikQi+vr5o1aoVvvvuO3mHQ6ro1q1b0NTUhKqqKsaOHYuQkBA4ODjIOyxSBXv27MH169cREBAg71BINWnevDmCgoJw6tQpbNiwASkpKWjTpg0+fPgg79DIR3rw4AE2bNiAevXq4fTp0xg3bhwmT56MnTt3yju0b56SvAMghJBvxYQJE3D79m26v+crYWdnh7i4OLx79w779++Ht7c3IiMjKbmsoR4/fowpU6bg7NmzUFNTk3c4pJp4eXlxfzs7O6N58+awsrLC3r176bL1GkokEsHV1RVLly4FADRq1Ai3b9/Gxo0b4e3tLefovm3UY1lD1apVC4qKinjx4gWv/MWLFzAxMZFTVISQ8kycOBHHjh1DeHg4zM3N5R0OqQYqKiqwtbVFkyZNEBAQABcXF6xZs0beYZGPdO3aNaSnp6Nx48ZQUlKCkpISIiMjsXbtWigpKaGoqEjeIZJqoKuri/r16yMpKUneoZCPZGpqWuYHPHt7e7rE+QtAiWUNpaKigiZNmiAsLIwrE4lECAsLo3t8CPmCMMYwceJEhISE4N9//4WNjY28QyKfiEgkQl5enrzDIB+pQ4cOuHXrFuLi4riXq6srhgwZgri4OCgqKso7RFINMjMzkZycDFNTU3mHQj5Sq1atyjy26969e7CyspJTRESMLoWtwaZNmwZvb2+4urqiWbNmWL16NbKysjBs2DB5h0Y+UmZmJu9X1JSUFMTFxUFfXx+WlpZyjIx8rAkTJuDvv//G4cOHoaWlxd0DraOjA6FQKOfoyMeaPXs2vLy8YGlpiQ8fPuDvv/9GREQETp8+Le/QyEfS0tIqc++zhoYGDAwM6J7oGmz69Ono1q0brKys8OzZM/j5+UFRURGDBg2Sd2jkI02dOhVubm5YunQp+vfvj8uXL2Pz5s3YvHmzvEP75lFiWYMNGDAAL1++xIIFC/D8+XM0bNgQp06dKjOgD6k5rl69inbt2nHvp02bBgDw9vZGUFCQnKIiVbFhwwYAgLu7O698x44d8PHx+fwBkWqRnp6On376CWlpadDR0YGzszNOnz6NTp06yTs0QkgJT548waBBg/D69WsYGhqidevWuHjxIgwNDeUdGvlITZs2RUhICGbPno1FixbBxsYGq1evxpAhQ+Qd2jePnmNJCCGEEEIIIaRK6B5LQgghhBBCCCFVQoklIYQQQgghhJAqocSSEEIIIYQQQkiVUGJJCCGEEEIIIaRKKLEkhBBCCCGEEFIllFgSQgghhBBCCKkSSiwJIYQQQgghhFQJJZaEEEJ4BAIBDh06VOn5EhMTYWJigg8fPlR/UKRKgoKCoKurK+8w5MLa2hqrV68GAOTn58Pa2hpXr16Vb1CEEPIVosSSEEK+ED4+PhAIBGVenp6e8g5NJrNnz8akSZOgpaXFld28eRNt2rSBmpoaLCwssHz58kq36+/vz9seOjo6aNOmDSIjI6sz/GqxefNmuLu7Q1tbGwKBAG/fvpV53qCgIDg7O0NNTQ1GRkaYMGFCpZYdEREh8fiZN28eBgwYgHv37lVybSrvS09gVVRUMH36dMycOVPeoRBCyFdHSd4BEEII+Y+npyd27NjBK1NVVZVTNLJLTU3FsWPHsG7dOq7s/fv36Ny5Mzp27IiNGzfi1q1bGD58OHR1dTF69OhKte/o6IjQ0FAAQEZGBlasWIGuXbviyZMn0NHRqdZ1qYrs7Gx4enrC09MTs2fPlnm+lStXIjAwEL/99huaN2+OrKwsPHz48KNiSExMhLa2NvdeU1MTQqEQQqHwo9r72gwZMgQ///wz7ty5A0dHR3mHQwghXw3qsSSEkC+IqqoqTExMeC89PT1uukAgwIYNG+Dl5QWhUIg6depg//79vDZu3bqF9u3bQygUwsDAAKNHj0ZmZiavzvbt2+Ho6AhVVVWYmppi4sSJvOmvXr1Cr169oK6ujnr16uHIkSNS4967dy9cXFxQu3Ztrmz37t3Iz8/nljVw4EBMnjwZK1eurPR2UVJS4raHg4MDFi1ahMzMTF4v3MqVK+Hk5AQNDQ1YWFhg/PjxvPV+9OgRunXrBj09PWhoaMDR0REnTpzgpt++fRteXl7Q1NSEsbExhg4dilevXlUqTl9fX8yaNQstWrSQeZ43b95g3rx52LVrFwYPHoy6devC2dkZ3bt3r9SyxYyMjHjHj6amZpmeRH9/fzRs2BB//vknrK2toaOjg4EDB/IuYxaJRAgICICNjQ2EQiFcXFzKHGslRUREYNiwYXj37h3XW+rv7w9A8uXVurq6CAoKAgA8fPgQAoEABw8eRLt27aCurg4XFxfExMTw5jl//jzatGkDoVAICwsLTJ48GVlZWdz09PR0dOvWDUKhEDY2Nti9e3eZOPX09NCqVSvs2bNHxi1KCCFEFpRYEkJIDTN//nz06dMHN27cwJAhQzBw4EAkJCQAALKysuDh4QE9PT1cuXIF+/btQ2hoKC9x3LBhAyZMmIDRo0fj1q1bOHLkCGxtbXnLWLhwIfr374+bN2+iS5cuGDJkCDIyMsqNKSoqCq6urryymJgYfP/991BRUeHKPDw8kJiYiDdv3gD47/LNyvTO5eXlYceOHdDV1YWdnR1XrqCggLVr1+LOnTvYuXMn/v33X/zyyy/c9AkTJiAvLw/nzp3DrVu38Ouvv0JTUxMA8PbtW7Rv3x6NGjXC1atXcerUKbx48QL9+/eXOa6PdfbsWYhEIjx9+hT29vYwNzdH//798fjxY149gUDAJWLVITk5GYcOHcKxY8dw7NgxREZGYtmyZdz0gIAA7Nq1Cxs3bsSdO3cwdepU/Pjjj+Veguzm5obVq1dDW1sbaWlpSEtLw/Tp0ysV09y5czF9+nTExcWhfv36GDRoEAoLC7l4PT090adPH9y8eRPBwcE4f/4879j28fHB48ePER4ejv379+OPP/5Aenp6meU0a9YMUVFRlYqNEEJIBRghhJAvgre3N1NUVGQaGhq815IlS7g6ANjYsWN58zVv3pyNGzeOMcbY5s2bmZ6eHsvMzOSmHz9+nCkoKLDnz58zxhgzMzNjc+fOLTcOAGzevHnc+8zMTAaAnTx5stx5XFxc2KJFi3hlnTp1YqNHj+aV3blzhwFg8fHxjDHGLl26xOzs7NiTJ0/KbdvPz48pKChw20MgEDBtbW2p8TDG2L59+5iBgQH33snJifn7+0usu3jxYta5c2de2ePHjxkAlpiYKHU5koSHhzMA7M2bNxXWDQgIYMrKyszOzo6dOnWKxcTEsA4dOjA7OzuWl5fH1bOzs2MHDx6scJmlj59Xr16xHTt2MB0dHa6un58fU1dXZ+/fv+fKZsyYwZo3b84YYyw3N5epq6uzCxcu8JYxYsQINmjQoHJjKL0cMQAsJCSEV6ajo8N27NjBGGMsJSWFAWBbt27lpouPlYSEBG7ZpY+nqKgopqCgwHJyclhiYiIDwC5fvsxNT0hIYADYqlWrePOtWbOGWVtbl7sehBBCKo/usSSEkC9Iu3btsGHDBl6Zvr4+733Lli3LvI+LiwMAJCQkwMXFBRoaGtz0Vq1aQSQSITExEQKBAM+ePUOHDh2kxuHs7Mz9raGhAW1tbYk9P2I5OTlQU1OT2qYkzZo1w927dyusZ2dnx12O++HDBwQHB6Nfv34IDw/nekpDQ0MREBCAu3fv4v379ygsLERubi6ys7Ohrq6OyZMnY9y4cThz5gw6duyIPn36cOt548YNhIeHcz2YJSUnJ6N+/fqVXjdJvLy8uJ4yKysr3LlzByKRCAUFBVi7di06d+4MAPjnn39gYmKC8PBweHh4AIBM2wko7j0uOYBSyUupS7K2tubVMzU15fZxUlISsrOz0alTJ948+fn5aNSoEYDi+14fPXoEAGjTpg1OnjwpU3zSlDzuTE1NARRf3tqgQQPcuHEDN2/e5F3eyhiDSCRCSkoK7t27ByUlJTRp0oSb3qBBA4mDCQmFQmRnZ1c5XkIIIf+hxJIQQr4gGhoaZS5LrU6yDuCirKzMey8QCCASicqtX6tWLe7yVjETExO8ePGCVyZ+b2JiIlMcYioqKrzt0qhRIxw6dAirV6/GX3/9hYcPH6Jr164YN24clixZAn19fZw/fx4jRoxAfn4+1NXVMXLkSHh4eOD48eM4c+YMAgICEBgYiEmTJiEzMxPdunXDr7/+WmbZ4gSnOmzduhU5OTkA/tvG4vYdHBy4eoaGhqhVqxZSU1MrvQwbGxuZRmaVto/F96YeP36cd98s8N9gUidOnEBBQQGAio8rgUAAxhivTDxveTEJBAIA4MU0ZswYTJ48ucx8lpaWlRr1NiMjA4aGhjLXJ4QQUjFKLAkhpIa5ePEifvrpJ957cS+Svb09goKCkJWVxfVaRkdHQ0FBAXZ2dtDS0oK1tTXCwsLQrl27aoupUaNGiI+P55W1bNkSc+fORUFBAZcwnD17FnZ2duX2olWGoqIil6Rdu3YNIpEIgYGBUFAoHj5g7969ZeaxsLDA2LFjMXbsWMyePRtbtmzBpEmT0LhxYxw4cADW1tZQUvp0/zWWTtKA4h5loHg0V3NzcwDFic+rV69gZWX1yWKRxsHBAaqqqkhNTUXbtm0l1pEUm4qKCoqKisqUGxoaIi0tjXt///79SvcYNm7cGPHx8eX+8NKgQQMUFhbi2rVraNq0KYDibSrpkS+3b9/mPjOEEEKqBw3eQwghX5C8vDw8f/6c9yo9Mum+ffuwfft23Lt3D35+frh8+TI3gMmQIUOgpqYGb29v3L59G+Hh4Zg0aRKGDh0KY2NjAMUjggYGBmLt2rW4f/8+rl+/zntMyMfw8PBATEwML6kYPHgwVFRUMGLECNy5cwfBwcFYs2YNpk2bxtW5fPkyGjRogKdPn0ptv7CwkNse9+/fx//+9z/Ex8ejR48eAABbW1sUFBRg3bp1ePDgAf78809s3LiR14avry9Onz6NlJQUXL9+HeHh4bC3twdQPLBPRkYGBg0ahCtXriA5ORmnT5/GsGHDJCZK5Xn+/Dni4uKQlJQEoHiE3ri4OKkDH9WvXx89evTAlClTcOHCBdy+fRve3t5o0KABL/lv0KABQkJCZI6lKrS0tDB9+nRMnToVO3fuRHJyMnec7Ny5s9z5rK2tkZmZibCwMLx69YpLHtu3b4/ff/8dsbGxuHr1KsaOHVumx7QiM2fOxIULFzBx4kTExcXh/v37OHz4MHfs29nZwdPTE2PGjMGlS5dw7do1jBw5UmJvalRUFHfZMSGEkGoi75s8CSGEFPP29mYAyrzs7Oy4OgDY+vXrWadOnZiqqiqztrZmwcHBvHZu3rzJ2rVrx9TU1Ji+vj4bNWoU+/DhA6/Oxo0bmZ2dHVNWVmampqZs0qRJvGVIG2hFkoKCAmZmZsZOnTrFK79x4wZr3bo1U1VVZbVr12bLli3jTRcPOJOSklJu235+frztoa6uzpycnNiGDRt49VauXMlMTU2ZUChkHh4ebNeuXbwBdCZOnMjq1q3LVFVVmaGhIRs6dCh79eoVN/+9e/dYr169mK6uLhMKhaxBgwbM19eXiUQixljxwDQV/bdZOlbxS9q2Y4yxd+/eseHDhzNdXV2mr6/PevXqxVJTU3l1KmpH2oBBkgbvcXFx4dVZtWoVs7Ky4t6LRCK2evVq7jgxNDRkHh4eLDIyUuq6jB07lhkYGDAAzM/PjzHG2NOnT1nnzp2ZhoYGq1evHjtx4oTEwXtiY2O5dt68ecMAsPDwcK7s8uXLrFOnTkxTU5NpaGgwZ2dn3uBWaWlp7IcffmCqqqrM0tKS7dq1i1lZWfEG77lw4QLT1dVl2dnZUteDEEJI5QgYK3XTAyGEkC+WQCBASEgIevbsKe9Qyli/fj2OHDmC06dPyzuUT8LPzw+RkZGIiIiQdyikCgYMGAAXFxfMmTNH3qEQQshXhe6xJIQQUi3GjBmDt2/f4sOHD7zRRr8WJ0+exO+//y7vMEgV5Ofnw8nJCVOnTpV3KIQQ8tWhHktCCKlBvuQeS0IIIYR8u6jHkhBCahD6LZAQQgghXyJKLEmNVVRUJPE5aIQQQggh3xplZWUoKirKOwzyDaPEktQ4jDE8f/5c4rPJCCGEEEK+Vbq6ujAxMYFAIJB3KOQbRIklqXHESaWRkRHU1dXpy5MQQggh3zTGGLKzs5Geng4AMDU1lXNE5FtEiSWpUYqKirik0sDAQN7hEEIIIYR8EYRCIQAgPT0dRkZGdFks+ewU5B0AIZUhvqdSXV1dzpEQQgghhHxZxOdHNAYFkQdKLEmNRJe/EkIIIYTw0fkRkSdKLAkhhBBCCCGEVAklloQQQgghhBBCqoQSS/LNKXj2DDl37pT7Knj2TN4hciIiIiAQCL74R6vcvXsXLVq0gJqaGho2bFitbVtbW2P16tXlTn/48CEEAgHi4uKqdbmf08esg7+/f4Xb2t3dHb6+vlWK7Uvn7+8PgUAAgUAg9Tj5WgUFBXHr/7Xva0IIIV82SizJN6Xg2TMke3rhYZ++5b6SPb2+mOTSzc0NaWlp0NHRkXcoUvn5+UFDQwOJiYkICwtDUFAQdHV1y63frl07bN26lUuoxC8DAwN07twZsbGxMi/bwsICaWlp+O6778qtk5iYiHbt2sHY2BhqamqoU6cO5s2bV+HgBiVjE7/27Nkjc2yykmUdSps+fTrCwsKk1jl48CAWL15c1fA4AoEAhw4dqrb2pKnoGCrJ0dERaWlpGD16NFdmbW1d7v5ydHSEQCBAUFBQmfqlX8uWLeMlr+W9AMDHx0fiNE9PT97yL1y4gC5dukBPTw9qampwcnLCypUrUVRUxKtXsg1tbW00bdoUhw8f5tUZMGAA0tLS0LJlS5m2FSGEEPKp0ONGyDel8M0bsPx8qXVYfj4K37yBspnZZ4qqfCoqKjAxMfno+fPz86GiolKNEUmWnJyMH374AVZWVhXWzcjIQHR0NPbs2YOcnBwAQGhoKBwdHfHkyRNMnjwZXl5euHv3rkyJhaKiYoXbSFlZGT/99BMaN24MXV1d3LhxA6NGjYJIJMLSpUulzrtjxw5eYiBrslMZsqxDaZqamtDU1JRaR19fvyphfZTPdcyVpKSkJHH7WVhYYMeOHRg4cCBXdvHiRTx//hwaGhpl6i9atAijRo3ilWlpaYExhrFjx3JlTZs2xejRo8vUBQBPT0/s2LGDV6aqqsr9HRISgv79+2PYsGEIDw+Hrq4uQkND8csvvyAmJgZ79+7lDb4hPv7ev3+PP/74A3379sX169fh5OQEoPjxAkKh8LNvc0IIIaQ06rEkNR5jDKLsbJleLDdXtjZzc2VrjzGZ43R3d8ekSZPg6+sLPT09GBsbY8uWLcjKysKwYcOgpaUFW1tbnDx5kptH0qWw0dHRcHd3h7q6OvT09ODh4YE3b95wy5g4cSJ8fX1Rq1YteHh4AAAiIyPRrFkzqKqqwtTUFLNmzUJhYSHX5v79++Hk5AShUAgDAwN07NgRWVlZAACRSIRFixbB3NwcqqqqaNiwIU6dOsXNKxAIcO3aNSxatAgCgQDu7u4YNmwY3r17x/W2+Pv7c/WPHz+Oxo0bw9jYmCszMDCAiYkJXF1dsWLFCrx48QKXLl3ipmdnZ2P48OHQ0tKCpaUlNm/ezE2T5TLSOnXqYNiwYXBxcYGVlRW6d++OIUOGICoqqsL9pqurCxMTE+6lpqYmtb6Pjw969uyJpUuXwtjYGLq6uli0aBEKCwsxY8YM6Ovrw9zcnJd8lF4H8X4PCwuDq6sr1NXV4ebmhsTERG6ej7kU1traGkuXLi13W+bn52PixIkwNTWFmpoarKysEBAQwM0LAL169YJAIODei+PYunUrbGxsuO0j6RLmhg0b8o6Ft2/fYsyYMVxP8nfffYdjx44hIiJC6jEkqyFDhiAyMhKPHz/myrZv344hQ4ZASans76paWlq8fW1iYgINDQ1oamryyhQVFcvUFVNVVS3Thp6eHgAgKysLo0aNQvfu3bF582Y0bNgQ1tbWGDlyJHbu3In9+/dj7969vJjEx1/9+vWxePFiFBYWIjw8vNLbghBCCPnUKLEkNR7LyUFi4yYyvR4N+VGmNh8N+VGm9tj/97jJaufOnahVqxYuX76MSZMmYdy4cejXrx/c3Nxw/fp1dO7cGUOHDkV2drbE+ePi4tChQwc4ODggJiYG58+fR7du3XiX0O3cuRMqKiqIjo7Gxo0b8fTpU3Tp0gVNmzbFjRs3sGHDBmzbtg3/+9//AABpaWkYNGgQhg8fjoSEBERERKB3795c0rxmzRoEBgZixYoVuHnzJjw8PNC9e3fcv3+fm9/R0RE///wz0tLScOTIEaxevRra2tpIS0tDWloapk+fzsV35MgR9OjRo9xtJH7Ac36JnuXAwEC4uroiNjYW48ePx7hx43hJVmUlJSXh1KlTaNu2bYV1J0yYgFq1aqFZs2bYvn27TD8m/Pvvv3j27BnOnTuHlStXws/PD127doWenh4uXbqEsWPHYsyYMXjy5InUdubOnYvAwEBcvXoVSkpKGD58uMzrWB5p23Lt2rU4cuQI9u7di8TEROzevZtLIK9cuQKguActLS2New8Ub88DBw7g4MGDMt8nKhKJ4OXlhejoaPz111+Ij4/HsmXLoKioCDc3N6nHkKyMjY3h4eGBnTt3Aij+gSI4OLhatuPHOHPmDF6/fi1xXbp164b69evjn3/+kThvYWEhtm3bBgDUO0kIIeSLRJfCEvIZubi4YN68eQCA2bNnY9myZahVqxZ3Sd2CBQuwYcMG3Lx5Ey1atCgz//Lly+Hq6oo//viDK3N0dOTVqVevHpYvX869nzt3LiwsLPD7779DIBCgQYMGePbsGWbOnIkFCxYgLS0NhYWF6N27N3cpq/gyOwBYsWIFZs6cyV1O+OuvvyI8PByrV6/G+vXrYWJiAiUlJa5XBwB0dHQgEAjKXJ6Yl5eHU6dOldv79PbtWyxevBiamppo1qwZV96lSxeMHz8eADBz5kysWrUK4eHhsLOzk7K1yxIn8Hl5eRg9ejQWLVoktf6iRYvQvn17qKur48yZMxg/fjwyMzMxefJkqfPp6+tj7dq1UFBQgJ2dHZYvX47s7GzMmTMHwH/7/vz587zLNEtbsmQJl/zOmjULP/zwA3JzcyvsNZVG2rZMTU1FvXr10Lp1awgEAt6lzYaGhgD+60ErKT8/H7t27eLqyCI0NBSXL19GQkIC6tevD6C4Z1msvGOosoYPH46ff/4Zc+fOxf79+1G3bt1ye3pnzpzJfT7FTp48iTZt2si8vGPHjpW5RHnOnDmYM2cO7t27BwCwt7eXOG+DBg24OmKDBg2CoqIicnJyIBKJYG1tjf79+8scDyGEEPK5UGJJajyBUAi769dkqpubkCBTr6XV7r+gVs7JX+llV4azszP3t6KiIgwMDHhJnPjy0PT0dInzx8XFoV+/flKX0aRJE977hIQEtGzZknffVqtWrZCZmYknT57AxcUFHTp0gJOTEzw8PNC5c2f07dsXenp6eP/+PZ49e4ZWrVrx2mzVqhVu3Lgh20qX8O+//8LIyKhMMuzm5gYFBQVkZWWhTp06CA4O5l0qW3K7iZON8raRo6MjHj16BABo06YN79Li4OBgfPjwATdu3MCMGTOwYsUK/PLLL+XGO3/+fO7vRo0aISsrC7/99hsmT56M1NRUODg4cNPFyYM4BgWF/y4IMTY25g3MI9735a2DpPU2NTUFUHxsWFpa8upFRUXBy8uLe79p0yYMGTKkwjZLb0sfHx906tQJdnZ28PT0RNeuXdG5c2epMQKAlZVVpZJKoPhYNjc355LKT+WHH37AmDFjcO7cOWzfvl1qb+WMGTPg4+PDK6tdu3allteuXTts2LCBV1b6XtfKXEK/atUqdOzYEQ8ePMDUqVOxdu1audw7SwghhFSEEktS4wkEAgjU1WWrK2NPj0BNDQoytlkZysrK/OUIBLwycfInEokkzi+UIZGVNCiJNIqKijh79iwuXLiAM2fOYN26dZg7dy4uXboEAwODSrVVkSNHjqB79+5lyoODg+Hg4AADAwOJg+NI2m7lbaMTJ05wo72W3l4WFhYAAAcHBxQVFWH06NH4+eefoaioKFP8zZs3x+LFi5GXlwczMzPeZZ8lT/Yr2s8VrYOkdqQdG66urrxYSibl0tosHUfjxo2RkpKCkydPIjQ0FP3790fHjh2xf/9+qXFKOuYUFBTKJFAlR+GV5ViuDkpKShg6dCj8/Pxw6dIlhISElFu3Vq1asLW1rdLyNDQ0ym1DnEQnJCTAzc2tzPSEhATejxUAYGJiAltbW9ja2mLHjh3o0qUL4uPjYWRkVKU4CSGEkOpG91gSUoM4OztX+IiJ0uzt7RETE8M7yY+OjoaWlhbMzc0BFCcXrVq1wsKFCxEbGwsVFRWEhIRAW1sbZmZmiI6O5rUZHR1d5gS4JBUVlTKPTmCM4ejRoxLvr7SwsEDdunWrZcRVKysr7kRcWm+TSCRCQUFBhcldSXFxcdDT04OqqiqUlJS45dja2sq1F0koFPJi0dLS+ui2tLW1MWDAAGzZsgXBwcE4cOAAMjIyABQnpaX3a3kMDQ2RlpbGvX///j1SUlK4987Oznjy5EmZSz/FJB1DH2v48OGIjIxEjx49uIF05KFz587Q19dHYGBgmWlHjhzB/fv3MWjQoHLnb9asGZo0aYIlS5Z8yjAJIYSQj0I9luSboqSnB4GKitRHjghUVKAkx5NPaWbPng0nJyeMHz8eY8eOhYqKCsLDw9GvXz/UqlVL4jzjx4/H6tWrMWnSJEycOBGJiYnw8/PDtGnToKCggEuXLiEsLAydO3eGkZERLl26hJcvX3L3gc2YMQN+fn7cvWk7duxAXFwcdu/eXW6c1tbWyMzMRFhYGFxcXKCuro74+HhkZ2ejdevWn2TbSLN7924oKyvDyckJqqqquHr1KmbPno0BAwZwPXghISGYPXs27t69CwA4evQoXrx4gRYtWkBNTQ1nz57F0qVLP2oQmZpi5cqVMDU1RaNGjaCgoIB9+/bBxMSES/itra0RFhaGVq1aQVVVVWqS1r59ewQFBaFbt27Q1dXFggULeD3Dbdu2xffff48+ffpg5cqVsLW1xd27d7nnPko6htQ/8ioCe3t7vHr1qsL5P3z4gOfPn/PK1NXVoa2tLfOy8vLyyrShpKSEWrVqQUNDA5s2bcLAgQMxevRoTJw4Edra2ggLC8OMGTPQt2/fCu+f9PX1Ra9evfDLL79U+jJdQggh5FOixJJ8U5TNzFD31EkU/v/jOSRR0tP7Ip5hKUn9+vVx5swZzJkzB82aNYNQKETz5s2l9nLUrl0bJ06cwIwZM+Di4gJ9fX2MGDGCG6REW1sb586dw+rVq/H+/XtYWVkhMDCQu2dv8uTJePfuHX7++Wekp6fDwcEBR44cQb169cpdppubG8aOHYsBAwbg9evX8PPzQ1FREbp06SLxMQ+fmpKSEn799Vfcu3cPjDFYWVlh4sSJmDp1Klfn3bt3vJFmlZWVsX79ekydOhWMMdja2mLlypUSn134tdDS0sLy5ctx//59KCoqomnTpjhx4gR3v2hgYCCmTZuGLVu2oHbt2nj48GG5bc2ePRspKSno2rUrdHR0sHjxYl6PJQAcOHAA06dPx6BBg5CVlQVbW1ssW7YMgORj6GMeOSImy2XdCxYswIIFC3hlY8aMwcaNG2VezqlTp7j7YcXs7Oy4Hyz69u2L8PBwLFmyBG3atEFubi7q1auHuXPnwtfXl3cvtCSenp6wsbHBkiVLeIN4EUIIIfImYJUZRYAQOcvNzUVKSgrveXmkZnB2dsa8efNoREtSrfz9/XHo0CGZH3PytXJ3d0fDhg3LPDuUEPJtofMkIk90jyUh5JPLz89Hnz59eCOXElJdbt26BU1NzW+yB2/37t3Q1NREVFSUvEMhhBDyjaMeS1Kj0C9xhJCSMjIyuMGFDA0NoaOjI+eIPq8PHz7gxYsXAIqfMVrevdaEkG8DnScReaJ7LAkhhNRY+vr63/RzHbW0tKo0CjAhhBBSXehSWEIIIYQQQgghVUKJJSGEEEIIIYSQKqHEkhBCCCGEEEJIlVBiSQghhBBCCCGkSiixJIQQQgghhBBSJZRYEkIIIYQQQgipEkosyTen4Nkz5Ny5U+6r4NkzeYfIiYiIgEAgwNu3b+UdilR3795FixYtoKamhoYNG1Zr29bW1li9enW50x8+fAiBQIC4uLhqXe7n9DHr4O/vX+G2dnd3h6+vb5Vi+9L5+/tDIBBAIBBIPU6+Js+fP0enTp2goaEBXV1deYfz2cn7M5+YmAgTExN8+PBBLsuvLhV9t5bUokULHDhwgFcWFBTEffa+9u8ZQohsKLEk35SCZ8+Q7OmFh336lvtK9vT6YpJLNzc3pKWlffEPfffz84OGhgYSExMRFhaGoKAgqSe87dq1w9atW7kTRPHLwMAAnTt3RmxsrMzLtrCwQFpaGr777rty6yQmJqJdu3YwNjaGmpoa6tSpg3nz5qGgoEBq2yVjE7/27Nkjc2yykmUdSps+fTrCwsKk1jl48CAWL15c1fA4AoEAhw4dqrb2pKnoGCrJ0dERaWlpGD16NFdmbW1d7v5ydHSEQCBAUFBQNUX78Xx8fNCzZ89KzbNq1SqkpaUhLi4O9+7d+zSByUnJHwrKe33M56U6zZ49G5MmTfqmnh86b948zJo1CyKRiCsbMGAA0tLS0LJlSzlGRgj5klBiSb4phW/egOXnS63D8vNR+ObNZ4pIOhUVFZiYmEAgEHzU/PkVrGt1SU5ORuvWrWFlZQUDAwOpdTMyMhAdHY1u3bpxZaGhoUhLS8Pp06eRmZkJLy8vmXtpFRUVYWJiAiUlpXLrKCsr46effsKZM2eQmJiI1atXY8uWLfDz86uw/R07diAtLY17VTYJkIUs61CapqZmhdtaX1//s5/8fq5jriQlJSWYmJhAXV2dV25hYYEdO3bwyi5evIjnz59DQ0Pjc4ZYrZKTk9GkSRPUq1cPRkZGH9WGPPaTLKZPn877vJmbm2PRokW8so/5vFSX1NRUHDt2DD4+Pp992fLk5eWFDx8+4OTJk1yZUCiEiYkJVFRU5BgZIeRLQokl+WqIsrPLf+XlVXu7leXu7o5JkybB19cXenp6MDY2xpYtW5CVlYVhw4ZBS0sLtra2vP+4JV0KGx0dDXd3d6irq0NPTw8eHh548/+JsLu7OyZOnAhfX1/UqlULHh4eAIDIyEg0a9YMqqqqMDU1xaxZs1BYWMi1uX//fjg5OUEoFMLAwAAdO3ZEVlZW8fqLRFi0aBHMzc2hqqqKhg0b4tSpU9y8AoEA165dw6JFiyAQCODu7o5hw4bh3bt3XA+Dv78/V//48eNo3LgxjI2NuTIDAwOYmJjA1dUVK1aswIsXL3Dp0iVuenZ2NoYPHw4tLS1YWlpi8+bN3DRZLourU6cOhg0bBhcXF1hZWaF79+4YMmQIoqKiKtxvurq6MDEx4V5qampS64t7oJYuXQpjY2Po6upi0aJFKCwsxIwZM6Cvrw9zc3NewlN6HcT7PSwsDK6urlBXV4ebmxsSExO5eT7mUlhra2ssXbq03G2Zn5+PiRMnwtTUFGpqarCyskJAQAA3LwD06tULAoGAey+OY+vWrbCxseG2j6TL7Bo2bMg7Ft6+fYsxY8ZwPcnfffcdjh07hoiICKnHkKyGDBmCyMhIPH78mCvbvn07hgwZUiYpefv2LUaOHAlDQ0Noa2ujffv2uHHjBjc9OTkZPXr0gLGxMTQ1NdG0aVOEhoby2qho+8rC3d0dkydPxi+//AJ9fX2YmJjw1t3a2hoHDhzArl27IBAIuASnovjL20+yzvfnn3/C2toaOjo6GDhwIO8yUJFIhOXLl8PW1haqqqqwtLTEkiVLuOmPHz9G//79oaurC319ffTo0QMPHz6UuP6ampq8z5uioiK0tLR4ZeV9Xk6fPo1GjRpBKBSiffv2SE9Px8mTJ2Fvbw9tbW0MHjwY2SW+u0UiEQICAmBjYwOhUAgXFxfs379f6v7Zu3cvXFxcULt2ba7s0aNH6NatG/T09KChoQFHR0ecOHGCm3779m14eXlBU1MTxsbGGDp0KF69eiXz9rt16xbat2/PfT+PHj0amZmZ3HTxd86KFStgamoKAwMDTJgwgXdFRnp6Orp16wahUAgbGxvs3r2bt16MMfj7+8PS0hKqqqowMzPD5MmTuemKioro0qXLJ7ligxDy9aDEknw1Ehs3Kff1pMR/kJWV1KGjxDY/xs6dO1GrVi1cvnwZkyZNwrhx49CvXz+4ubnh+vXr6Ny5M4YOHco7+SkpLi4OHTp0gIODA2JiYnD+/Hl069YNRUVFvGWoqKggOjoaGzduxNOnT9GlSxc0bdoUN27cwIYNG7Bt2zb873//AwCkpaVh0KBBGD58OBISEhAREYHevXuDMQYAWLNmDQIDA7FixQrcvHkTHh4e6N69O+7fv8/N7+joiJ9//hlpaWk4cuQIVq9eDW1tba6HYfr06Vx8R44cQY8ePcrdRkKhEAC/RyUwMBCurq6IjY3F+PHjMW7cOF6SVVlJSUk4deoU2rZtW2HdCRMmoFatWmjWrBm2b9/ObRdp/v33Xzx79gznzp3DypUr4efnh65du0JPTw+XLl3C2LFjMWbMGDx58kRqO3PnzkVgYCCuXr0KJSUlDB8+XOZ1LI+0bbl27VocOXIEe/fuRWJiInbv3s0lkFeuXAHwXw+u+D1QvD0PHDiAgwcPynzfm0gkgpeXF6Kjo/HXX38hPj4ey5Ytg6KiItzc3KQeQ7IyNjaGh4cHdu7cCaD4B4rg4GCJ27Ffv35cInLt2jU0btwYHTp0QEZGBgAgMzMTXbp0QVhYGGJjY+Hp6Ylu3bohNTWV1051HKs7d+6EhoYGLl26hOXLl2PRokU4e/YsgOL94Onpif79+yMtLQ1r1qyRKX5A8n6SZb7k5GQcOnQIx44dw7FjxxAZGYlly5Zx02fPno1ly5Zh/vz5iI+Px99//839cFRQUAAPDw9oaWkhKioK0dHR0NTUhKenZ7X3mvr7++P333/HhQsXuGR29erV+Pvvv3H8+HGcOXMG69at4+oHBARg165d2LhxI+7cuYOpU6fixx9/RGRkZLnLiIqKgqurK69swoQJyMvLw7lz53Dr1i38+uuv0NTUBFCcuLdv3x6NGjXC1atXcerUKbx48QL9+/fn5pe2/bKysuDh4QE9PT1cuXIF+/btQ2hoKCZOnMiLITw8HMnJyQgPD8fOnTsRFBTEu9Tbx8cHjx8/Rnh4OPbv348//vgD6enp3PQDBw5g1apV2LRpE+7fv49Dhw7BycmJt4xmzZrJ9GMcIeQbxgipQXJyclh8fDzLyckpMy3erkG5r0ejRzPGGMu+fVtqPfEr+/Ztrt3EFi0l1qmstm3bstatW3PvCwsLmYaGBhs6dChXlpaWxgCwmJgYxhhj4eHhDAB78+YNY4yxQYMGsVatWkldRqNGjXhlc+bMYXZ2dkwkEnFl69evZ5qamqyoqIhdu3aNAWAPHz6U2KaZmRlbsmQJr6xp06Zs/Pjx3HsXFxfm5+fHvd+xYwfT0dEp01Zubi7T1NRkt/9/+6akpDAALDY2ljHG2Js3b1ivXr2YpqYme/78OWOMMSsrK/bjjz9ybYhEImZkZMQ2bNggsQ1pWrZsyVRVVRkANnr0aFZUVCS1/qJFi9j58+fZ9evX2bJly5iqqipbs2aN1Hm8vb2ZlZUVr207OzvWpk0b7r143//zzz8S10G830NDQ7l5jh8/zgBwx76fnx9zcXGRGkvbtm3ZlClTuPcVbctJkyax9u3b846VkgCwkJAQXpmfnx9TVlZm6enpvHIrKyu2atUqXlnJ4+T06dNMQUGBJSYmSlxWecdQaeVtB/HyDx06xOrWrctEIhHbuXMn9/nQ0dFhO3bsYIwxFhUVxbS1tVlubi6vjbp167JNmzaVu2xHR0e2bt063jKlbV9JvL29WY8ePbj3pb8nGCv+vM2cOZN736NHD+bt7c29lyV+SftJ1vnU1dXZ+/fvuekzZsxgzZs3Z4wx9v79e6aqqsq2bNkicf3+/PPPMt8/eXl5TCgUstOnT5e7XcQkHUeyfF4CAgIYAJacnMyVjRkzhnl4eDDGir+L1NXV2YULF3htjxgxgg0aNKjceFxcXNiiRYt4ZU5OTszf319i/cWLF7POnTvzyh4/fswAsMTExAq33+bNm5menh7LzMzkyo4fP84UFBS470jxd05hYSFXp1+/fmzAgAGMMcYSExMZAHb58mVuekJCAgPAbdvAwEBWv359lp+fX+66Hz58mCkoKJT53iz9PUPkS9p5EiGf2ue/QYGQT8Tu+rXyJyoqfnS7tmGhFVeSkbOzM/e3oqIiDAwMeL8Ki3+lLvlLcklxcXHo16+f1GU0acLvTU1ISEDLli1592m2atUKmZmZePLkCVxcXNChQwc4OTnBw8MDnTt3Rt++faGnp4f379/j2bNnaNWqFa/NVq1a8S6Xk9W///4LIyMjODo68srd3NygoKCArKws1KlTB8HBwbxLZUtuN4FAABMTk3K3kaOjIx49egQAaNOmDe/S4uDgYHz48AE3btzAjBkzsGLFCvzyyy/lxjt//nzu70aNGiErKwu//fYbJk+ejNTUVDg4OHDT58yZgzlz5nAxKCj8d0GIsbExb6AR8b4vbx0krbepqSmA4mPD0tKSVy8qKgpeXl7c+02bNmHIkCEVtll6W/r4+KBTp06ws7ODp6cnunbtis6dO0uNEQCsrKxgaGhYYb2S4uLiYG5ujvr161dqvsr64YcfMGbMGJw7dw7bt2+X2Ft548YNZGZmlrlnNScnB8nJyQCKeyz9/f1x/PhxpKWlobCwEDk5OWV6LCtzrJanZBtA8b6X1oYs8QNl95Os81lbW/Pu1S0ZT0JCAvLy8tChQ4dyY0tKSipzr29ubi5vGdWh5HYzNjaGuro66tSpwyu7fPkygOLe2+zsbHTq1InXRn5+Pho1alTuMnJycspcDj958mSMGzcOZ86cQceOHdGnTx8ulhs3biA8PJzrwSwpOTkZb9++lbr9EhIS4OLiwrsnuFWrVhCJREhMTOS+Jx0dHaFY4v85U1NT3Lp1i2tDSUmJ939DgwYNeINj9evXD6tXr0adOnXg6emJLl26oFu3brxLxoVCIUQiEfLy8rgrSwghpCRKLMlXQ6HUwB1fYrvKysq89wKBgFcmTv5KjrxXkiz/mVd2UBJFRUWcPXsWFy5c4C4Vmzt3Li5dulTh4DCVdeTIEXTv3r1MeXBwMBwcHGBgYCBxJFBJ2628bXTixAnu3qLS28vCwgIA4ODggKKiIowePRo///wz74RMmubNm2Px4sXIy8uDmZkZ77JPfX19qfFWZh0ktSPt2HB1deXFUjIpl9Zm6TgaN26MlJQUnDx5EqGhoejfvz86duxY4X1nko45BQWFMpcNl7zn63OdmCopKWHo0KHw8/PDpUuXEBISUqZOZmYmTE1NERERUWaa+HicPn06zp49ixUrVsDW1hZCoRB9+/Ytcznnx+zn0irbhizxA2X3k6zzSYunov2YmZmJJk2alLmnD0Clf4yoSOnPi7S4xfcoHj9+nHe/JACoqqqWu4xatWpx97SLjRw5Eh4eHtzltgEBAQgMDMSkSZOQmZmJbt264ddffy3TlqmpKR48eFC5lSxHVY87CwsLJCYmIjQ0FGfPnsX48ePx22+/ITIykms7IyMDGhoalFQSQspFiSUhNYizszPCwsKwcOFCmeext7fHgQMHwBjjkpPo6GhoaWnB3NwcQPFJSKtWrdCqVSssWLAAVlZWCAkJwbRp02BmZobo6Gje/YjR0dFo1qxZuctUUVHh3fcJFA8OcfToUfz1119l6ltYWKBu3boyr5M0VlZWMtUTiUQoKCiASCSSObGMi4uDnp4ed+Jpa2v70XFWJ6FQWG2xaGtrY8CAARgwYAD69u0LT09PZGRkQF9fH8rKymX2a3kMDQ2RlpbGvX///j1SUlK4987Oznjy5Anu3bsnsddS0jH0sYYPH44VK1ZgwIAB0NPTKzO9cePGeP78OZSUlLh7SkuLjo6Gj48PevXqBaA4MSlvAJrPTZb4q3O+kurVqwehUIiwsDCMHDlS4jKCg4NhZGQEbW3tj1rGp+Dg4ABVVVWkpqbKdK+1WKNGjRAfH1+m3MLCAmPHjsXYsWMxe/ZsbNmyBZMmTULjxo1x4MABWFtbSxzFtqLtZ29vj6CgIGRlZXE/DERHR0NBQQF2dnYyxdygQQMUFhbi2rVraNq0KYDiRzCVHnlbKBSiW7du6NatGyZMmIAGDRrg1q1baNy4MYDiQYik9eYSQggN3kO+KUp6ehBUMDS6QEUFShJOPr8Es2fPxpUrVzB+/HjcvHkTd+/exYYNG3gjDJY2fvx4PH78GJMmTcLdu3dx+PBh+Pn5Ydq0aVBQUMClS5ewdOlSXL16FampqTh48CBevnwJe3t7AMCMGTPw66+/Ijg4GImJiZg1axbi4uIwZcqUcpdpbW2NzMxMhIWF4dWrV8jOzsa1a9eQnZ2N1q1bV/t2qcju3buxd+9eJCQk4MGDB9i7dy9mz56NAQMGcL/Gh4SEoEGDBtw8R48exdatW3H79m0kJSVhw4YNWLp0KSZNmvTZ4/9cVq5ciX/++Qd3797FvXv3sG/fPpiYmHC9V9bW1ggLC8Pz58/L9NqU1r59e/z555+IiorCrVu34O3tzUvg27Zti++//x59+vTB2bNnuZ5S8YjDko6hj2Vvb49Xr16VefSIWMeOHdGyZUv07NkTZ86cwcOHD3HhwgXMnTsXV69eBVCcAIgHvblx4wYGDx5c6Z7IT0WW+KtzvpLU1NQwc+ZM/PLLL9i1axeSk5Nx8eJFbNu2DUDxyLy1atVCjx49EBUVhZSUFERERGDy5MkVDl71KWlpaWH69OmYOnUqdu7cieTkZFy/fh3r1q3jBnuSxMPDAzExMbwfPXx9fXH69GmkpKTg+vXrCA8P574/J0yYgIyMDAwaNAhXrlxBcnIyTp8+jWHDhqGoqEim7aempgZvb2/cvn0b4eHhmDRpEoYOHSr1yoSSxJe2jxkzBpcuXcK1a9cwcuRIXs9jUFAQtm3bhtu3b+PBgwf466+/IBQKeT/URUVFyXRpPCHk20U9luSbomxmhrqnTkp9TqWSnh6Uzcw+Y1Syq1+/Ps6cOYM5c+agWbNmEAqFaN68OQYNGlTuPLVr18aJEycwY8YMuLi4QF9fHyNGjMC8efMAFPdQnTt3DqtXr8b79+9hZWWFwMBA7p69yZMn4927d/j555+Rnp4OBwcHHDlyBPXq1St3mW5ubhg7diwGDBiA169fw8/PD0VFRejSpYtcnj2npKSEX3/9Fffu3QNjDFZWVpg4cSKmTp3K1Xn37h1v9E5lZWWsX78eU6dOBWMMtra2WLlyJUaNGvXZ4/9ctLS0sHz5cty/fx+Kiopo2rQpTpw4wd0vGhgYiGnTpmHLli2oXbu21B672bNnIyUlBV27doWOjg4WL17M67EEikeinD59OgYNGoSsrCzY2tpyo41KOoY+5pEjYtIu6xYIBDhx4gTmzp2LYcOG4eXLlzAxMcH333/PnbyvXLkSw4cPh5ubG2rVqoWZM2fi/fv3Hx1PdZIl/uqcr7T58+dDSUkJCxYswLNnz2BqaoqxY8cCANTV1XHu3DnMnDkTvXv3xocPH1C7dm106NBB7j2YixcvhqGhIQICAvDgwQPo6uqicePG3L3Sknh5eUFJSQmhoaHc45yKioowYcIEPHnyBNra2vD09MSqVasAgLviY+bMmejcuTPy8vJgZWUFT09P7nNV0fY7ffo0pkyZgqZNm0JdXR19+vTBypUrK7WuO3bswMiRI9G2bVsYGxvjf//7H+8ecl1dXSxbtgzTpk1DUVERnJyccPToUe5z8/TpU1y4cEHiFSeEECImYKVvgiHkC5abm4uUlBTec9hIzeDs7Ix58+bxhtknpKr8/f1x6NAhmR9zQkhVrV+/HkeOHMHp06flHcpnM3PmTLx580bic1nd3d3RsGHDMs+tJfJB50lEnuhSWELIJ5efn48+ffrwRi4lpLrcunULmpqa+OOPP+QdCvkGjBkzBt9//z0+fPgg71A+GyMjIyxevJhXtnv3bmhqatKzLQkhHOqxJDUK/RJHCCkpIyMDGRkZAIoHDNLR0ZFzRIR8Gz58+IAXL14AKL6UtlatWnKOiAB0nkTki+6xJIQQUmPp6+vzHvVCCPk8tLS0yjyflBDybaNLYQkhhBBCCCGEVAklloQQQgghhBBCqoQSS0IIIYQQQgghVUKJJSGEEEIIIYSQKqHEkhBCCCGEEEJIlVBiSQghhBBCCCGkSiixJOQzcXd3h6+vr7zDkMra2hqrV6+uMe1WJ4FAgEOHDsk7jE/C398fDRs2rNY2Hz58CIFAgLi4uGpttzzW1tYQCAQQCAR4+/btZ1nml8Td3Z1b/8+1zQkhhJDKoMSSfNNinsWgx6EeiHkW88mXdfDgQSxevFjm+p/7xL267dy5E61btwYAXLlyBaNHj5Z53oiIiBqZQGzZsgVt2rSBnp4e9PT00LFjR1y+fFnm+X18fLjkQfzy9PSUOk9QUFCZecSv9PT0qq7SJ1eZH1wWLVqEtLQ06OjoAPjvONHT00Nubi6v7pUrV7jtICauL+n1/PlzXvIq6eXj4wMA5U7fs2cPt6yioiKsWrUKTk5OUFNTg56eHry8vBAdHc2Ls+T+U1BQgKmpKQYMGIDU1FRevYMHD1bqWCKEEEI+NyV5B0CIvDDGsOb6Gjx49wBrrq9BC9MWvJPQ6ibPh7gXFBRAWVn5sy7z8OHD6N69OwDA0NDwsy5bjDGGoqIiKCl9nq+6iIgIDBo0CG5ublBTU8Ovv/6Kzp07486dO6hdu7ZMbXh6emLHjh3ce1VVVan1BwwYUCb59PHxQW5uLoyMjCq/El8wLS0tmJiYSCwPCQnBoEGDuLJt27bB0tKyTIIGAImJidDW1uaVGRkZ4cqVKygqKgIAXLhwAX369OHVFQqFXP0dO3aU2e66uroAio+7gQMHIjQ0FL/99hs6dOiA9+/fY/369XB3d8e+ffvQs2dPbj5tbW0kJiaCMYaUlBSMHz8e/fr1w6VLl7g6+vr6eP/+vYxbihBCCPn8qMeS1HiMMWQXZFf6FZ4ajjuv7wAA7ry+g/DU8Eq3wRiTOc7SPTPW1tZYunQphg8fDi0tLVhaWmLz5s3cdBsbGwBAo0aNIBAI4O7uzk3bunUr7O3toaamhgYNGuCPP/7gpol7OoODg9G2bVuoqalh9+7d8PHxQc+ePbFixQqYmprCwMAAEyZMQEFBQbkxCwQCbNq0CV27doW6ujrs7e0RExODpKQkuLu7Q0NDA25ubkhOTubNl5ubizNnznCJZelLYQUCAbZu3YpevXpBXV0d9erVw5EjR7j427VrBwDQ09Pj9RSJRCIEBATAxsYGQqEQLi4u2L9/P9euuEfq5MmTaNKkCVRVVXH+/Hm4u7tj8uTJ+OWXX6Cvrw8TExP4+/uXu97ibbh37160adMGQqEQTZs2xb1793DlyhW4urpCU1MTXl5eePnyJTff7t27MX78eDRs2BANGjTA1q1bIRKJEBYWVu6ySlNVVYWJiQn30tPTk1pfKBTy6isqKuLff//FiBEjytTdtGkTLCwsoK6ujv79++Pdu3dS2xaJRFi+fDlsbW2hqqoKS0tLLFmyhFfnwYMHaNeuHdTV1eHi4oKYmP96/1+/fo1Bgwahdu3aUFdXh5OTE/755x9uuo+PDyIjI7FmzRqu1+7hw4cybCU+b29vbN++nXufk5ODPXv2wNvbW2J9IyMj3jYzMTGBgoICDA0NuffiH4JK1hX3lALFSWTpNtTU1AAAe/fuxf79+7Fr1y6MHDkSNjY2cHFxwebNm9G9e3eMHDkSWVlZXFsCgQAmJiYwNTWFm5sbRowYgcuXL1MiSQghpEahHktS4+UU5qD5382r3M6UiCmVnufS4EtQV1b/6GUGBgZi8eLFmDNnDvbv349x48ahbdu2sLOzw+XLl9GsWTOEhobC0dERKioqAIqTlwULFuD3339Ho0aNEBsbi1GjRkFDQ4N3Ij1r1iwEBgaiUaNGUFNTQ0REBMLDw2Fqaorw8HAkJSVhwIABaNiwIUaNGlVujIsXL8bKlSuxcuVKzJw5E4MHD0adOnUwe/ZsWFpaYvjw4Zg4cSJOnjzJzRMWFobatWujQYMG5ba7cOFCLF++HL/99hvWrVuHIUOG4NGjR7CwsMCBAwd4vUXinqKAgAD89ddf2LhxI+rVq4dz587hxx9/hKGhIdq2bctb9xUrVqBOnTpcYrZz505MmzYNly5dQkxMDHx8fNCqVSt06tSp3Bj9/PywevVqbj0HDx4MLS0trFmzhkvOFixYgA0bNkicPzs7GwUFBZXqrY6IiICRkRH09PTQvn17/O9//4OBgYHM8+/atQvq6uro27cvrzwpKQl79+7F0aNH8f79e4wYMQLjx4/H7t27y21r9uzZ2LJlC1atWoXWrVsjLS0Nd+/e5dWZO3cuVqxYgXr16mHu3LkYNGgQkpKSoKSkhNzcXDRp0gQzZ86EtrY2jh8/jqFDh6Ju3bpo1qwZ1qxZg3v37uG7777DokWLAHxc7/bQoUPx22+/ITU1FZaWljhw4ACsra3RuHHjSrdVHf7++2/Ur18f3bp1KzPt559/xsGDB3H27Fler6VYeno6QkJCoKioCEVFxc8QLSGEEFI9KLEkRI66dOmC8ePHAwBmzpyJVatWITw8HHZ2dtwJtoGBAe/yPz8/PwQGBqJ3794Ains24+PjsWnTJl5i6evry9UR09PTw++//w5FRUU0aNAAP/zwA8LCwqQmlsOGDUP//v25GFu2bIn58+fDw8MDADBlyhQMGzaMN0/Jy2DL4+Pjw126uHTpUqxduxaXL1+Gp6cnr7dIfHlhXl4eli5ditDQULRs2RIAUKdOHZw/fx6bNm3iJZaLFi0qkzA6OzvDz88PAFCvXj38/vvvCAsLk5pYTp8+nbeegwYNQlhYGFq1agUAGDFiBIKCgsqdf+bMmTAzM0PHjh2lbgsxT09P9O7dGzY2NkhOTsacOXPg5eWFmJgYmZOMbdu2YfDgwbzLNoHiXuRdu3Zxl+SuW7cOP/zwAwIDAyVeXvrhwwesWbMGv//+O3dc1a1bl7tvVmz69On44YcfABT/WODo6IikpCQ0aNAAtWvXxvTp07m6kyZNwunTp7F37140a9YMOjo6UFFRgbq6usQYZGVkZAQvLy8EBQVhwYIF2L59O4YPH15ufXNzc957Kysr3Llzp1LLHDRoUJl9Eh8fD0tLS9y7dw/29vYS5xOX37t3jyt79+4dNDU1i6++yM4GAEyePBkaGhqViokQQgiRJ0osSY0nVBLi0uBLFVf8f4wxDDs9DIlvEiFiIq5cQaAAOz077PDYIfO9lkIlYcWVpHB2dub+Fl8OJ23AlaysLCQnJ2PEiBG8ZLCwsJB3mR4AuLq6lpnf0dGRdzJsamqKW7duyRyjsbExAMDJyYlXlpubi/fv30NbWxuMMRw9ehR79+6VuV0NDQ1oa2tLXfekpCRkZ2eXSQTz8/PRqFEjXpmkdS+5PKB43Ssa3EaWdS+vjWXLlmHPnj2IiIjgLpGsyMCBA7m/nZyc4OzsjLp16yIiIgIdOnSAl5cXoqKiAEhOhmJiYpCQkIA///yzTNuWlpa8+zxbtmwJkUiExMRE3L9/H15eXty0TZs2oV69esjLy0OHDh2kxlxyG5mamgIo7nVr0KABioqKsHTpUuzduxdPnz5Ffn4+8vLyoK7+8b385Rk+fDimTJmCH3/8ETExMdi3bx+3rUqLioqClpYW9/5j7j9etWpVmR8MzMzMuL8rc5m8lpYWrl+/joKCApw8eRK7d+8uc8kxIYQQ8qWjxJLUeAKBoFKXo0Y/jUZCRkKZchETISEjAXEv49CqdqvqDLFcpU9oBQIBRCJRObWBzMxMAMWjjzZvzr/8t3TviaTejsour/Q84oRbUpm4ncuXL6OwsBBubm4ytytLLOJ1P378eJmBcEoPcPM5111SGytWrMCyZcsQGhpaJqGtjDp16qBWrVpISkpChw4dsHXrVuTk5EhcH6D43tuGDRuiSZMmlVqOq6srb/RhY2Njme91lHYs/Pbbb1izZg1Wr14NJycnaGhowNfXF/n5+ZWKTxZeXl4YPXo0RowYgW7dukm9fNjGxobrCf9YJiYmsLW1lTitfv36SEgo+x0DgCuvX78+V6agoMC1ZW9vj+TkZIwbN07iDwSEEELIl4oSS/JNYYxhXew6CCAAQ9keBQEEWBe7Dm5mbp90hFhZiO+pFI9SCRSf8JuZmeHBgwcYMmSIvEKT6vDhw/jhhx+qdH+YpHV3cHCAqqoqUlNTeZe9fmmWL1+OJUuW4PTp0xJ7TivjyZMneP36NdcTKG1k2czMTOzduxcBAQESp6empuLZs2dcr9rFixehoKAAOzs7CIXCMklSvXr1IBQKERYWhpEjR35U/NHR0ejRowd+/PFHAMUJ57179+Dg4MDVUVFR4e3nj6WkpISffvoJy5cv593vKw8DBw7E4MGDcfTo0TL3WQYGBsLAwEDqJdizZs1C3bp1MXXqVLndJ0oIIYRUFiWW5JtSICrA86znEpNKAGBgeJ71HAWiAqgoqnzm6PiMjIwgFApx6tQpmJubQ01NDTo6Oli4cCEmT54MHR0deHp6Ii8vD1evXsWbN28wbdo0ucYMAEeOHOEGYvlYVlZWEAgEOHbsGLp06QKhUAgtLS1Mnz4dU6dOhUgkQuvWrfHu3TtER0dDW1u73BFAP6dff/0VCxYswN9//w1ra2s8f/4cAKCpqQlNTU2p82ZmZmLhwoXo06cPTExMkJycjF9++QW2trbcfZ7SBAcHo7CwkEviSlNTU4O3tzdWrFiB9+/fY/Lkyejfv3+59zaqqalh5syZ+OWXX6CiooJWrVrh5cuXuHPnjsQRZyWpV68e9u/fjwsXLkBPTw8rV67EixcveImltbU1Ll26hIcPH0JTUxP6+vpQUPi4AcsXL16MGTNmVDjYUXp6epnnXhoYGFTqkti3b99y+1dMS0sLGhoaGDhwIPbt2wdvb+8yjxs5cuQI9u3bJ/X+SQsLC/Tq1QsLFizAsWPHZI6JEEIIkSdKLMk3RUVRBXu67kFGbka5dfTV9OWeVALFPTBr167FokWLsGDBArRp0wYREREYOXIk1NXV8dtvv2HGjBnQ0NCAk5OTzA+Z/5SSk5ORlJQkUyIkTe3atbFw4ULMmjULw4YNw08//YSgoCAsXrwYhoaGCAgIwIMHD6Crq4vGjRtjzpw51bQGVbNhwwbk5+eXGZHVz89P6uNNgOJLmW/evImdO3fi7du3MDMzQ+fOnbF48eIKn2UJFA/a07t373Iv8bS1tUXv3r3RpUsXZGRkoGvXrrzH1Egyf/58KCkpYcGCBXj27BlMTU0xduzYCmMRmzdvHh48eAAPDw+oq6tj9OjR6NmzJ+8xJ9OnT4e3tzccHByQk5ODlJQUWFtby7yMklRUVFCrVq0K69nZ2ZUpi4mJQYsWLWReVukBq4DiUYtnzZrFPapm9erVWLVqFcaPHw81NTW0bNkSERER3OBP0kydOhUtW7bkRocmhBBCvnQCVpkRBgiRs9zcXKSkpMDGxkbmAVHI57Ny5UqEhobixIkT8g6FfGWsra3h6+v7RfyAIi8PHz6EjY0NYmNj0bBhQ3mHQwj5AtF5EpGnj7veiBBCJDA3N8fs2bPlHQb5Ss2cOROampq8Hs9vhZeXFxwdHeUdBiGEEFIuuhSWEFJtxM+7JGVFRUXxHulRmnjUWyJZZGQkCgoKAID3qJBvRckRgS0tLeUcDSGEEFIWJZaEEPIZlH6kB6kcKysreYcgV9JGBCaEEEK+BJRYEkLIZyDpkR6EEEIIIV8LuseSEEIIIYQQQkiVUGJJCCGEEEIIIaRKKLEkhBBCCCGEEFIllFgSQgghhBBCCKkSSiwJIYQQQgghhFQJJZaEfCbu7u7w9fWVdxhSWVtbY/Xq1TWm3eokEAhw6NAheYfxSfj7+6Nhw4bV2ubDhw8hEAg+2yNUrK2tIRAIIBAI8Pbt28+yTHk7dOgQbG1toaio+MV/d3wKn+K4rYz58+dj9OjRclt+dYiIiJD5MxMfHw9zc3NkZWXxyt3d3bnPHj0yiRAiDSWW5JsW8ywGPQ71QMyzmE++rIMHD2Lx4sUy1//cJ+7VbefOnWjdujUA4MqVK5U6QavMydCXZMuWLWjTpg309PSgp6eHjh074vLlyzLP7+Pjw53AiV+enp5S5wkKCiozj/iVnp5e1VX65Crzg8uiRYuQlpYGHR0dAP8dJ3p6esjNzeXVvXLlCrcdvgQf88PFmDFj0LdvXzx+/LhS3x01QckfCiS9fHx8MH36dISFhcklvufPn2PNmjWYO3euXJYvDw4ODmjRogVWrlzJKz948GClvscIId8uSizJN4sxhjXX1+DBuwdYc30NGGOfdHn6+vrQ0tL6pMsoT0FBwWdf5uHDh9G9e3cAgKGhIdTV1T97DIwxFBYWfrblRUREYNCgQQgPD0dMTAwsLCzQuXNnPH36VOY2PD09kZaWxr3++ecfqfUHDBjAq5+WlgYPDw+0bdsWRkZGVV2lL4qWlhZMTEzKJItaWloICQnhlW3btg2WlpafM7xqlZmZifT0dHh4eMDMzOyjvzvy8/OrObLqceXKFe54PXDgAAAgMTGRK1uzZg00NTVhYGAgl/i2bt0KNzc3WFlZyWX58jJs2DBs2LCB972pr68PQ0NDOUZFCKkpKLEkX43sguxyX3lFeWXqhqeG487rOwCAO6/vIDw1HNkF2cgtzJWp3coq3TNjbW2NpUuXYvjw4dDS0oKlpSU2b97MTbexsQEANGrUCAKBAO7u7ty0rVu3wt7eHmpqamjQoAH++OMPbpq4pzM4OBht27aFmpoadu/eDR8fH/Ts2RMrVqyAqakpDAwMMGHCBKlJp0AgwKZNm9C1a1eoq6vD3t4eMTExSEpKgru7OzQ0NODm5obk5GTefLm5uThz5gyXWJa+FFYgEGDr1q3o1asX1NXVUa9ePRw5coSLv127dgAAPT09rvcCAEQiEQICAmBjYwOhUAgXFxfs37+fa1fcg3Xy5Ek0adIEqqqqOH/+PNzd3TF58mT88ssv0NfXh4mJCfz9/ctdb/E23Lt3L9q0aQOhUIimTZvi3r17uHLlClxdXaGpqQkvLy+8fPmSm2/37t0YP348GjZsiAYNGmDr1q0QiUSV6nVRVVWFiYkJ99LT05NaXygU8uorKiri33//xYgRI8rU3bRpEywsLKCuro7+/fvj3bt3UtsWiURYvnw5bG1toaqqCktLSyxZsoRX58GDB2jXrh3U1dXh4uKCmJj/ev9fv36NQYMGoXbt2lBXV4eTkxMvUfbx8UFkZCTWrFnD9VQ9fPhQhq3E5+3tje3bt3Pvc3JysGfPHnh7e5epe/78eW6fWlhYYPLkybxL//7880+4urpySezgwYN5Pb/iYywsLAyurq5QV1eHm5sbEhMTZY5XfHwdPHhQ4raLiIjgEsn27dtDIBAgIiJCpvitra2xePFi/PTTT9DW1uauFJBlPmnfRwDw5MkTDBo0CPr6+tDQ0ICrqysuXbrETT98+DAaN24MNTU11KlTBwsXLiz3hx1DQ0PumNXX1wcAGBkZcWU6OjplLoUVf4ctXboUxsbG0NXVxaJFi1BYWIgZM2ZAX18f5ubm2LFjB29Zjx8/Rv/+/aGrqwt9fX306NGjwuNsz5496NatG69s//79cHJyglAohIGBATp27MjbhtK+l2XZfhs2bEDdunWhoqICOzs7/Pnnn7z5pX1vip04cQL169eHUChEu3btyqzno0eP0K1bN+jp6UFDQwOOjo44ceIEN71Tp07IyMhAZGSk1O1DCCESMUJqkJycHBYfH89ycnLKTPsu6LtyX+POjuPVdf3Ttdy6Pid9eHXb/NNGYr3Katu2LZsyZQr33srKiunr67P169ez+/fvs4CAAKagoMDu3r3LGGPs8uXLDAALDQ1laWlp7PXr14wxxv766y9mamrKDhw4wB48eMAOHDjA9PX1WVBQEGOMsZSUFAaAWVtbc3WePXvGvL29mba2Nhs7dixLSEhgR48eZerq6mzz5s28mFatWsW9B8Bq167NgoODWWJiIuvZsyeztrZm7du3Z6dOnWLx8fGsRYsWzNPTk7eux44dY/Xr15farrm5Ofv777/Z/fv32eTJk5mmpiZ7/fo1KywsZAcOHGAAWGJiIktLS2Nv375ljDH2v//9jzVo0ICdOnWKJScnsx07djBVVVUWERHBGGMsPDycAWDOzs7szJkzLCkpib1+/Zq1bduWaWtrM39/f3bv3j22c+dOJhAI2E8ebZ4AAQAASURBVJkzZ3gxhYSE8LaheFni9WzSpAlzd3dn58+fZ9evX2e2trZs7Nix5e7z9+/fMzU1NXb06NGKDg/GGGPe3t5MR0eHGRoasvr167OxY8eyV69eyTSv2IoVK5iOjg7Lzs7myvz8/JiGhgZr3749i42NZZGRkczW1pYNHjxYalu//PIL09PTY0FBQSwpKYlFRUWxLVu2MMb42+jYsWMsMTGR9e3bl1lZWbGCggLGGGNPnjxhv/32G4uNjWXJycls7dq1TFFRkV26dIkxxtjbt29Zy5Yt2ahRo1haWhpLS0tjhYWFEmMpfQwx9t/+TkxMZKqqquzRo0eMMcb+/PNP5uLiwkJCQljJ/+aSkpKYhoYGW7VqFbt37x6Ljo5mjRo1Yj4+/33mt23bxk6cOMGSk5NZTEwMa9myJfPy8iqzzObNm7OIiAh2584d1qZNG+bm5iZ1W5Z3fEnadnl5eSwxMZEBYAcOHGBpaWksLy9PpvitrKyYtrY2W7FiBUtKSuJesswn7fvow4cPrE6dOqxNmzYsKiqK3b9/nwUHB7MLFy4wxhg7d+4c09bWZkFBQSw5OZmdOXOGWVtbM39/f6nbpeQ2ffPmDa/cz8+Pubi4cO+9vb2ZlpYWmzBhArt79y7btm0bA8A8PDzYkiVL2L1799jixYuZsrIye/z4MWOMsfz8fGZvb8+GDx/Obt68yeLj49ngwYOZnZ0dy8vLkxjP69evmUAgYBcvXuTKnj17xpSUlNjKlStZSkoKu3nzJlu/fj378OEDY6zi7+WKtt/BgweZsrIyW79+PUtMTGSBgYFMUVGR/fvvv7xjqLzvTcYYS01NZaqqqmzatGns7t277K+//mLGxsa8bfvDDz+wTp06sZs3b7Lk5GR29OhRFhkZyVv/5s2bMz8/P16Z+JiNjY2tcH8S+ZJ2nkTIp0aJJalRqiuxbLyr8ReRWP7444/ce5FIxIyMjNiGDRsYY+X/R163bl32999/88oWL17MWrZsyZtv9erVvDre3t7MysqKd+Ler18/NmDAAF5MpRPAefPmce9jYmIYALZt2zau7J9//mFqamq8ZY0aNYpNnz5d5nYzMzMZAHby5EnGmOQTzdzcXKaurs6diImNGDGCDRo0iDffoUOHeHXatm3LWrduzStr2rQpmzlzJi+m0if+W7du5a0nABYWFsaVBQQEMDs7O1aecePGsTp16sj8H/w///zDDh8+zG7evMlCQkKYvb09a9q0abnJliT29vZs3Dj+8e7n58cUFRXZkydPuLKTJ08yBQUFlpaWJrGd9+/fM1VVVS6RLE3SNrpz5w4DwBISEsqN74cffmA///wz977056I80hLLN2/esJ49e7KFCxcyxhhr164dW7NmTZnEcsSIEWz06NG8NqKiopiCgkK5++jKlSsMAJdAiJcZGhrK1Tl+/DgDIHU/V3R8ld52b968YQBYeHh4peK3srJiPXv25NWRdT5p30ebNm1iWlpaXBJTWocOHdjSpUt5ZX/++SczNTUtd5uIVSaxtLKyYkVFRVyZnZ0da9OmDfe+sLCQaWhosH/++YeLwc7OjolEIq5OXl4eEwqF7PTp0xLjiY2NZQBYamoqV3bt2jUGgD18+FDiPBV9L1e0/dzc3NioUaN4Zf369WNdunTh3lf0vTl79mzm4ODAa2PmzJm8bevk5FRhst+rVy/ejw6MUWJZk1BiSeRJqdq7QAmRk0uDL5U7TVFBkfubMYa6unWR+CYRIibiyhUECrDTs8MfHfiXL53qc6r6g/1/zs7O3N8CgQAmJiZSB1zJyspCcnIyRowYgVGjRnHlhYWF3IAmYq6urmXmd3R0hKLif9vC1NQUt27dkjlGY2NjAICTkxOvLDc3F+/fv4e2tjYYYzh69Cj27t0rc7saGhrQ1taWuu5JSUnIzs5Gp06deOX5+flo1KgRr0zSupdcHlC87hUNbiPLupfXxrJly7Bnzx5ERERATU1N6nLEBg4cyP3t5OQEZ2dn1K1bFxEREejQoQO8vLwQFRUFALCyssKdO3d488fExCAhIaHMJXQAYGlpidq1a3PvW7ZsCZFIhMTERNy/fx9eXl7ctE2bNqFevXrIy8tDhw4dpMZcchuZmpoCANLT09GgQQMUFRVh6dKl2Lt3L54+fYr8/Hzk5eV9kvtthw8fjilTpuDHH39ETEwM9u3bx20rsRs3buDmzZvYvXs3V8YYg0gkQkpKCuzt7XHt2jX4+/vjxo0bePPmDUSi4u+I1NRUODg4VLjelbmvU9q2k0SW+IGyx7+s80n7PoqLi0OjRo24y1YlxRYdHc27VLqoqAi5ubnIzs6utn3u6OgIBYX/7uIxNjbGd999x71XVFSEgYEBF/eNGzeQlJRU5h7V3NzcMpfwi+Xk5AAA73Pr4uKCDh06wMnJCR4eHujcuTP69u0LPT09mb6XK9p+CQkJZQY4a9WqFdasWcMrk/a9mZCQgObNm/Pqt2zZkvd+8uTJGDduHM6cOYOOHTuiT58+Zb4bhUIhsrMrf7sHIYRQYkm+GurKsp24XHh2AQkZCWXKRUyEhIwEXE+/jla1W1W63Y+hrKzMey8QCLgTWUkyMzMBFI8+WvoEomTCCBSfdFR1eaXnEQ+aIqlM3M7ly5dRWFgINzc3mduVJRbxuh8/fpyXIAHF9yWW9DnXXVIbK1aswLJlyxAaGlrmpK0y6tSpg1q1aiEpKQkdOnTA1q1buZPe0usDFN/j1bBhQzRp0qRSy3F1deWNPmxsbCzzvY7SjoXffvsNa9aswerVq+Hk5AQNDQ34+vp+kgFlvLy8MHr0aIwYMQLdunWTOOhLZmYmxowZg8mTJ5eZZmlpiaysLHh4eMDDwwO7d++GoaEhUlNT4eHhUSZmaestq8q2UVH8YqWPf1nnk/YZEQqF0lYFmZmZWLhwIXr37l1mmqw/rMhCUozS4s7MzESTJk14SbVYeQPS1KpVCwDw5s0bro6ioiLOnj2LCxcu4MyZM1i3bh3mzp2LS5cucUmztO/lirafrD7me6ykkSNHwsPDA8ePH8eZM2cQEBCAwMBATJo0iauTkZGBunXrVku8hJBvCyWW5JvCGMO62HUQQACGsqPACiDAuth1cDNzk/tjClRUVAAU/+ovZmxsDDMzMzx48ABDhgyRV2hSHT58GD/88EOZRLcyJK27g4MDVFVVkZqairZt21Y5zk9l+fLlWLJkCU6fPi2x57Qynjx5gtevX3O9WaUT6pIyMzOxd+9eBAQESJyempqKZ8+ewczMDABw8eJFKCgowM7ODkKhELa2trz69erVg1AoRFhYGEaOHPlR8UdHR6NHjx748ccfARQnTffu3eP1/KmoqPD288dSUlLCTz/9hOXLl+PkyZMS6zRu3Bjx8fFl1lXs1q1beP36NZYtWwYLCwsAwNWrV6scW3WpKP7qnq8kZ2dnbN26FRkZGRJ73Ro3bozExMQqLeNTaNy4MYKDg2FkZARtbW2Z5qlbty60tbURHx+P+vXrc+UCgQCtWrVCq1atsGDBAlhZWSEkJATTpk2r8Hu5ou1nb2+P6Oho3oBT0dHRvM9KRezt7csM5nPx4sUy9SwsLDB27FiMHTsWs2fPxpYtW3iJ5e3bt9G3b1+Zl0sIIWI0Kiz5phSICvA867nEpBIAGBieZz1HgejzP56jNCMjIwiFQpw6dQovXrzgRvBcuHAhAgICsHbtWty7dw+3bt3Cjh07yjx7TF6OHDnCjQb7saysrCAQCHDs2DG8fPkSmZmZ0NLSwvTp0zF16lTs3LkTycnJuH79OtatW4edO3dWU/RV8+uvv2L+/PnYvn07rK2t8fz5czx//pzrbZUmMzMTM2bMwMWLF/Hw4UOEhYWhR48esLW1hYeHR4XzBwcHo7CwkEviSlNTU4O3tzdu3LiBqKgoTJ48Gf3794eJiUm59WfOnIlffvkFu3btQnJyMi5evIht27ZVGItYvXr1uF6ehIQEjBkzBi9evODVsba2xqVLl/Dw4UO8evWq0r1+JS1evBgvX74sd3vNnDkTFy5cwMSJExEXF4f79+/j8OHDmDhxIoDi3jsVFRWsW7cODx48wJEjR76o50dWFH91z1fSoEGDYGJigp49eyI6OhoPHjzAgQMHuJFsFyxYgF27dmHhwoW4c+cOEhISsGfPHsybN69K61xVQ4YMQa1atdCjRw9ERUUhJSUFERERmDx5Mp48eSJxHgUFBXTs2BHnz5/nyi5duoSlS5fi6tWrSE1NxcGDB/Hy5UvuMuKKvpcr2n4zZsxAUFAQNmzYgPv372PlypU4ePAgpk+fLvO6jh07Fvfv38eMGTOQmJiIv//+G0FBQbw6vr6+OH36NFJSUnD9+nWEh4dz6wAUj1j89OlTdOzYUeblEkKIGCWW5JuioqiCPV33ILhrcLmvPV33QEVRRd6hQklJCWvXrsWmTZtgZmaGHj16ACi+lGnr1q3YsWMHnJyc0LZtWwQFBXGPJ5Gn5ORkJCUlyZQISVO7dm0sXLgQs2bNgrGxMXcCvHjxYsyfPx8BAQGwt7eHp6cnjh8//kWsO1D8uID8/Hz07dsXpqam3GvFihUVzquoqIibN2+ie/fuqF+/PkaMGIEmTZogKiqqzKW+kmzbtg29e/eGrq6uxOm2trbo3bs3unTpgs6dO8PZ2bnM4xBKmz9/Pn7++WcsWLAA9vb2GDBgQIX3pZY0b948NG7cGB4eHnB3d+dOrEuaPn06FBUV4eDgwF16+rFUVFRQq1atcq82cHZ2RmRkJO7du4c2bdqgUaNGWLBgAdeLa2hoiKCgIOzbtw8ODg5YtmyZTPvuc6ko/uqeryQVFRWcOXMGRkZG6NKlC5ycnLBs2TLuygQPDw8cO3YMZ86cQdOmTdGiRQusWrVK7s+BVFdXx7lz52BpaYnevXvD3t4eI0aMQG5urtQezJEjR2LPnj3cDx3a2to4d+4cunTpgvr162PevHkIDAzk7k2u6Hu5ou3Xs2dPrFmzBitWrICjoyM2bdqEHTt28B4zVRFLS0scOHAAhw4dgouLCzZu3IilS5fy6hQVFWHChAnc92f9+vV53wP//PMPOnfuLPf9RgipmQSMfeKnwhNSjXJzc5GSkgIbG5tqvW+HVI+VK1ciNDSU91w0QqqDtbU1fH19ec+CJeRTYYyhefPmmDp1KgYNGiTvcD6L/Px81KtXD3///TdatWrFm/bw4UPY2NggNjaW92xR8uWh8yQiT9RjSQipNubm5pg9e7a8wyBfqZkzZ0JTU5O7LJyQT0UgEGDz5s0oLCyUdyifTWpqKubMmVMmqfTy8oKjo6OcoiKE1CTUY0lqFPoljtRUUVFRvEd6lCbLfZjfskePHqGgoPje5zp16vAeOUEI+XSePn3KjUYtvg+ZfLnoPInIE40KSwghn0HpR3qQyqF7vgiRD2mjURNCSEmUWBJCyGcg6ZEehBBCCCFfC7qWiBBCCCGEEEJIlVBiSQghhBBCCCGkSiixJIQQQgghhBBSJZRYEkIIIYQQQgipEkosCSGEEEIIIYRUCSWWhBBCZGZtbQ2BQACBQIC3b9/KO5zPzt3dnVt/enwMIYQQ8h9KLMm3JzwAiFwueVrk8uLpn8jjx48xfPhwmJmZQUVFBVZWVpgyZQpev379yZZZGY8ePYJQKERmZiYAICMjA76+vrCysoKKigrMzMwwfPhwpKamyjXOhw8fYsSIEbCxsYFQKETdunXh5+eH/Px8qfP5+PhwSUHJl6OjY7l1DAwM4OnpiZs3b1YYU3UmG0FBQdDV1a2WtmTh7u4OX19fmeouWrQIaWlp0NHRAQBERERAIBBAT08Pubm5vLpXrlzhtqWYuL6k1/Pnz3nJq6SXj48PAJQ7fc+ePdyyioqKsGrVKjg5OUFNTQ16enrw8vJCdHQ0L86goCBufgUFBZiammLAgAFljvWDBw/i8uXLsm5WQggh5JtBiSX59igoAuFLyiaXkcuLyxUUP8liHzx4AFdXV9y/fx///PMPkpKSsHHjRoSFhaFly5bIyMj4JMutjMOHD6Ndu3bQ1NRERkYGWrRogdDQUGzcuBFJSUnYs2cPkpKS0LRpUzx48EBucd69excikQibNm3CnTt3sGrVKmzcuBFz5syROt+aNWuQlpbGvR4/fgx9fX3069ePV8/T05OrExYWBiUlJXTt2vVTrtJHqyiZ/hS0tLRgYmLCSxbF5SEhIbyybdu2wdLSUmI7iYmJvP2RlpYGIyMjXLlyhXt/4MCBMnXXrFnDtbFjx44ybfTs2RMAwBjDwIEDsWjRIkyZMgUJCQmIiIiAhYUF3N3dcejQIV482traSEtLw9OnT3HgwAEkJiaWOTb09fVhaGj4MZuNEEII+boxQmqQnJwcFh8fz3Jycv4rFIkYy8us3CtsMWN+2sX/Snov60skkjl2T09PZm5uzrKzs3nlaWlpTF1dnY0dO5Yxxti6deuYo6MjNz0kJIQBYBs2bODKOnTowObOncu9P3ToEGvUqBFTVVVlNjY2zN/fnxUUFHDTAbAtW7awnj17MqFQyGxtbdnhw4fLxNi+fXtuOWPHjmUaGhosLS2NVyc7O5vVrl2beXp6MsYYO3r0KNPR0WGFhYWMMcZiY2MZADZz5kxunhEjRrAhQ4Zw76Oioljr1q2ZmpoaMzc3Z5MmTWKZmZncdCsrK7ZkyRI2bNgwpqmpySwsLNimTZukbt/ly5czGxsbqXVKCwkJYQKBgD18+JAr8/b2Zj169ODVi4qKYgBYenp6uW2lpKQwACw2NpYxxlh4eDgDwEJDQ1mTJk2YUChkLVu2ZHfv3uXmiYuLY+7u7kxTU5NpaWmxxo0bsytXrnDzlnz5+flx22bRokVs6NChTEtLi3l7e3P137x5w7Ut3g8pKSlc2fnz51nbtm2ZUChkurq6rHPnziwjI4N5e3uXWV7J+UqysrJiq1at4pWJlz9v3jzWsWNHrjw7O5vp6Oiw+fPns5L/3UiKtzzS6gJgISEh5c67Z88eBoAdOXKkzLTevXszAwMD7rjbsWMH09HR4dVZu3YtA8DevXvHKy+9rwkh5Esh8TyJkM+EeixJzVeQDSw1q9zr3G/F8577TfJ7WV8F2TKFmJGRgdOnT2P8+PEQCoW8aSYmJhgyZAiCg4PBGEPbtm0RHx+Ply9fAgAiIyNRq1YtREREFK9uQQFiYmLg7u4OAIiKisJPP/2EKVOmID4+Hps2bUJQUBCWLFnCW87ChQvRv39/3Lx5E126dMGQIUN4vaRv377F+fPn0b17d4hEIuzZswdDhgyBiYkJrx2hUIjx48fj9OnTyMjIQJs2bfDhwwfExsZKjFdcJo43OTkZnp6e6NOnD27evIng4GCcP38eEydO5C0nMDAQrq6uiI2Nxfjx4zFu3DgkJiaWu43fvXsHfX196TuilG3btqFjx46wsrIqt05mZib++usv2NrawsDAoFLtA8DcuXMRGBiIq1evQklJCcOHD+emDRkyBObm5rhy5QquXbuGWbNmQVlZGW5ubli9ejXXg5aWlobp06dz861YsQIuLi6IjY3F/PnzZYojLi4OHTp0gIODA2JiYnD+/Hl069YNRUVFWLNmDVq2bIlRo0Zxy7OwsKj0ug4dOhRRUVHc5aMHDhyAtbU1GjduXOm2qsPff/+N+vXro1u3bmWm/fzzz3j9+jXOnj0rcd709HSEhIRAUVERioqf5ioGQggh5GtCiSUhn8H9+/fBGIO9vb3E6fb29njz5g1evnyJ7777Dvr6+oiMjARQfD/azz//zL2/fPkyCgoK4ObmBqA4YZw1axa8vb1Rp04ddOrUCYsXL8amTZt4y/Dx8cGgQYNga2uLpUuXIjMzk3ev2IkTJ+Ds7AwzMzO8fPkSb9++lRovYwxJSUnQ0dFBw4YNuUQyIiICU6dORWxsLDIzM/H06VMkJSWhbdu2AICAgAAMGTIEvr6+qFevHtzc3LB27Vrs2rWLd39ely5dMH78eNja2mLmzJmoVasWwsPDJcaTlJSEdevWYcyYMRXtCs6zZ89w8uRJjBw5ssy0Y8eOQVNTE5qamtDS0sKRI0cQHBwMBYXKf2UuWbIEbdu2hYODA2bNmoULFy5w65mamoqOHTuiQYMGqFevHvr16wcXFxeoqKhAR0cHAoEAJiYmMDExgaamJtdm+/bt8fPPP6Nu3bqoW7euTHEsX74crq6u+OOPP+Di4gJHR0dMnDgRtWrVgo6ODlRUVKCurs4t72OSKSMjI3h5eSEoKAgAsH37dl4iXZq5uTm3nTU1NXn3uspq0KBBvDY0NTW5xPbevXtSj2FxHbF3795BU1MTGhoaMDY2Rnh4OCZMmAANDY1Kx0UIIYR8a5TkHQAhVaasDsx5Vvn5zq8q7qFUVAGK8oHvZwCtp1Z+2ZXAGJM6XUVFBQKBAN9//z0iIiLQsWNHxMfHY/z48Vi+fDnu3r2LyMhING3aFOrqxcu+ceMGoqOjeT2URUVFyM3NRXZ2NlfP2dmZm66hoQFtbW2kp6dzZYcPH0b37t0rHS8AtG3blkuAo6KiEBAQgL179+L8+fPIyMiAmZkZ6tWrx8V78+ZN7N69m7cckUiElJQU7oS/ZLziBKtkvGJPnz6Fp6cn+vXrh1GjRnHlJROxH3/8ERs3buTNt3PnTujq6nL345XUrl07bNiwAQDw5s0b/PHHH/Dy8sLly5dhZWUFLy8vREVFAQCsrKxw586dcrdRyfUwNTUFUNwbZmlpiWnTpmHkyJH4888/0bFjR/Tr10+mRNHV1bXCOqXFxcWVuV/wUxg+fDimTJmCH3/8ETExMdi3bx+3rUqLioqClpYW915ZWbnSy1u1ahU6duzIKzMzM+P+rugYLklLSwvXr19HQUEBTp48id27d5fp+SeEEEKIZJRYkppPIABUKtmjELm8OKlsNxdo+8t/A/coqhS/r2a2trYQCARISEhAr169ykxPSEiAoaEhNwqou7s7Nm/ejKioKDRq1Aja2tpcshkZGcn1/gHFl2ouXLgQvXv3LtOumpoa93fpk3aBQACRSASgeACYU6dOcYPfiGNJSEiQuD4JCQlQUlKCjY0NF+/27dtx48YNKCsro0GDBnB3d0dERATevHlTJt4xY8Zg8uTJZdotOciLtHjFnj17hnbt2sHNzQ2bN2/mTSs5Oqu2tjZvGmMM27dvx9ChQ7nkuCQNDQ3Y2tpy77du3QodHR1s2bIF//vf/7B161bk5ORIjLO0ktPFg92I18Pf3x+DBw/G8ePHcfLkSfj5+WHPnj0Sj5HS8ZUk7kktmUQVFBTw6pS+BPtT8fLywujRozFixAh069ZN6uXDNjY2VR751sTEhLevSqpfv77UY1hcR0xBQYFry97eHsnJyRg3bhz+/PPPKsVICCGEfAvoUljy7REnkeKkEij+t91cyaPFVgMDAwN06tQJf/zxB5eQiD1//hy7d+/mHqEAgLvPct++fdy9ie7u7ggNDUV0dDRXBgCNGzdGYmIibG1ty7xkvXQzIiICenp6cHFxAVB8gt2/f3/8/fffeP78Oa9uTk4O/vjjD/Tq1Yt73IT4PstVq1ZxSaQ4sYyIiCgTb3x8vMR4JSV55Xn69Cnc3d3RpEkT7Nixo8y6lmzXyMiINy0yMhJJSUkYMWKETMsSP4JCvO9q167NtS3t/kxZ1K9fH1OnTsWZM2fQu3dv7NixA0Bxb3BRUZFMbYhHKU1LS+PKSj/2xNnZGWFhYeW2UZnlSaOkpISffvoJERERUi+D/RwGDhyI+/fv4+jRo2WmBQYGcp/L8syaNQvBwcG4fv36pwyTEEII+SpQYkm+PaIiflIpJk4uRVU/uZbk999/R15eHjw8PHDu3Dk8fvwYp06dQqdOnVC/fn0sWLCAq+vs7Aw9PT38/fffvMTy0KFDyMvLQ6tWrbi6CxYswK5du7Bw4ULcuXMHCQkJ2LNnD+bNmydzbEeOHClzGeySJUtgYmKCTp064eTJk3j8+DHOnTsHDw8PKCgo8B75oKenB2dnZ+zevZuL9/vvv8f169dx7949Xo/lzJkzceHCBUycOBFxcXG4f/8+Dh8+XGbwHmnESaWlpSVWrFiBly9f4vnz52WS4PJs27YNzZs3x3fffSdxel5eHtdeQkICJk2ahMzMTImDwHysnJwcTJw4EREREXj06BGio6Nx5coV7lJga2trZGZmIiwsDK9evUJ2dvkDRdna2sLCwgL+/v64f/8+jh8/jsDAQF6d2bNn48qVKxg/fjxu3ryJu3fvYsOGDXj16hW3vEuXLuHhw4d49epVmd7hyli8eDFevnwJDw8PqfXS09O57Sx+le5prcjbt2/LtJGVlQWgOLHs1asXvL29sW3bNjx8+BA3b97EmDFjcOTIEWzdulXq/ZMWFhbo1asX77NJCCGEkHLIbTxaQj5CTR9GOyUlhXl7ezNjY2MmEAgYANa7d2+WlZVVpm6PHj2YkpIS+/DhA2OMsaKiIqanp8datGhRpu6pU6eYm5sbEwqFTFtbmzVr1oxt3ryZmw4Jj2XQ0dFhO3bsYIwxZmFhwc6ePVum3ZcvX7JJkyYxCwsLpqioyAAwNzc39vr16zJ1p0yZwgCwhIQErszFxYWZmJiUqXv58mXWqVMnpqmpyTQ0NJizszNbsmQJN13SIy1cXFy4R27s2LGjzOMxxK+KvH37lgmFQt72Kan0oze0tLRY06ZN2f79+6W2W97jRsp7BEheXh4bOHAgs7CwYCoqKszMzIxNnDiRd2yPHTuWGRgYlHncSOltw1jxo0ScnJyYmpoaa9OmDdu3b1+Zx4ZEREQwNzc3pqqqynR1dZmHhwcXX2JiImvRogUTCoUf/biR8h4fIn5kTun6kl4xMTEyt11eGwEBAVydgoIC9ttvvzFHR0emoqLCtLW1mYeHBzt//jyvLUmPG2GMsZiYGAaAXbp0iSujx40QQr5UNf08idRsAsYqMbIBIXKWm5uLlJQU2NjY8O4frKn8/PywcuVKnD17Fi1atJBLDNevX0f79u3x8uXLCu8X3LZtG8aPH4/g4GCJg96Qr5+1tTV8fX3h6+sr71Dk5uHDh7CxsUFsbCwaNmwo73AIIYTztZ0nkZqFLoUlRI4WLlyItWvX4uLFi1W69LAqCgsLsW7dOplG5BwxYgT27NmDhISEMveKkm/HzJkzoampiXfv3sk7lM/Oy8vrox6LQgghhHztqMeS1Cj0Sxwh8vXo0SPuPsg6dep81LM9a7KnT59yP6pYWlpWasApQgj51Og8icgTPW6EEEKIzKo6Cm5NV7t2bXmHQAghhHyRvq2fmgkhhBBCCCGEVDtKLAkhhBBCCCGEVAklloQQQgghhBBCqoQSS0IIIYQQQgghVUKJJSGEEEIIIYSQKqHEkhBCCCGEEEJIlVBiSQghRGbW1tYQCAQQCAR4+/atvMP5LA4dOgRbW1soKirC19dX3uF8dv7+/mjYsKHclj9//nyMHj1absuvDhERETJ/ZuLj42Fubo6srCxeubu7O/fZi4uL+zSBEkJIFVBiSb494QFA5HLJ0yKXF0//RB4/fozhw4fDzMwMKioqsLKywpQpU/D69etPtszKePToEYRCITIzMwEAGRkZ8PX1hZWVFVRUVGBmZobhw4cjNTVVrnE+fPgQI0aMgI2NDYRCIerWrQs/Pz/k5+dLnc/Hx4c7MSv5cnR0LLeOgYEBPD09cfPmzQpjqs4TvqCgIOjq6lZLW7Jwd3eXOWlatGgR0tLSoKOjA+C/k2Y9PT3k5uby6l65coXbll8CgUCAQ4cOVWqeMWPGoG/fvnj8+DEWL178aQKTk5I/FEh6+fj4YPr06QgLC5NLfM+fP8eaNWswd+5cuSxfHhwcHNCiRQusXLmSV37w4EFcvnxZTlERQkjFKLEk3x4FRSB8SdnkMnJ5cbmC4idZ7IMHD+Dq6or79+/jn3/+QVJSEjZu3IiwsDC0bNkSGRkZn2S5lXH48GG0a9cOmpqayMjIQIsWLRAaGoqNGzciKSkJe/bsQVJSEpo2bYoHDx7ILc67d+9CJBJh06ZNuHPnDlatWoWNGzdizpw5Uudbs2YN0tLSuNfjx4+hr6+Pfv368ep5enpydcLCwqCkpISuXbt+ylX6aBUl05+ClpYWTExMyiSLWlpaCAkJ4ZVt27YNlpaWnzO8apWZmYn09HR4eHjAzMwMWlpaH9WOPPaTLK5cucId6wcOHAAAJCYmcmVr1qyBpqYmDAwM5BLf1q1b4ebmBisrK7ksX16GDRuGDRs2oLCwkCvT19eHoaGhHKMihJAKMEJqkJycHBYfH89ycnLKTszLLP+VX6p+2GLG/LSL/83L5L/Pz5at3Ury9PRk5ubmLDub335aWhpTV1dnY8eOZYwxtm7dOubo6MhNDwkJYQDYhg0buLIOHTqwuXPncu8PHTrEGjVqxFRVVZmNjQ3z9/dnBQUF3HQAbMuWLaxnz55MKBQyW1tbdvjw4TIxtm/fnlvO2LFjmYaGBktLS+PVyc7OZrVr12aenp6MMcaOHj3KdHR0WGFhIWOMsdjYWAaAzZw5k5tnxIgRbMiQIdz7qKgo1rp1a6ampsbMzc3ZpEmTWGbmf9vUysqKLVmyhA0bNoxpamoyCwsLtmnTJqnbd/ny5czGxkZqndJCQkKYQCBgDx8+5Mq8vb1Zjx49ePWioqIYAJaenl5uWykpKQwAi42NZYwxFh4ezgCw0NBQ1qRJEyYUClnLli3Z3bt3uXni4uKYu7s709TUZFpaWqxx48bsypUr3LwlX35+fty2WbRoERs6dCjT0tJi3t7eXP03b95wbYv3Q0pKCld2/vx51rZtWyYUCpmuri7r3Lkzy8jIYN7e3mWWV3K+kqysrNiqVat4ZeLlz5s3j3Xs2JErz87OZjo6Omz+/Pms9H83FR0Du3btYk2aNGGamprM2Pj/2DvvsKiOr49/lya9o6DSRLogKDYQwQguNsQudin2EFTsxg76i2CJmogFsKCoAcVgQSQuIiKCihjpSLGADSwoosK8f/DuDZddYFETYpzP89wH7syZmTNzZ+7OmXbbEXd3d/L48WOBNJsqX2EAICdPnmQ9s8jISOLo6EhkZGSIpaUluXr1KiuN+telS5dE0l/YcxI1XHN1//79+2T8+PFERUWFyMrKku7du5Nr164x/s29DxpDWD0ihJDVq1eTrl27Mvf8NuLv70/atm1LlJSUyNq1a8mHDx+In58fUVFRIR06dCAhISGseEpKSsiYMWOIkpISUVFRIa6uro3WMz7m5uZk586dLLcTJ06QLl26EGlpaaKqqkoGDBjAKsO9e/cSExMT0qZNG2JsbEx27drVovL75ZdfSKdOnYikpCQxMjIiBw8eZIUX5X165swZYmhoSKSlpYmjoyMJDQ1llW1RUREZOnQoUVZWJrKyssTMzIycOXOGCV9dXU3atGlDLl68yIq34XuGQmlIk/0kCuVvhhqWlK+KJl+YqxUbvw6PZstu0GxcNmQwW/Z/+sLlWsDz588Jh8MhAQEBQv29vb2JiooKqa2tJRkZGYTD4TBGjK+vL1FXVyfjxo0jhBDy/v17IisrS+Li4gghhFy+fJkoKiqSsLAwUlBQQC5cuED09PTImjVrmPgBkI4dO5IjR46QvLw84uPjQ+Tl5cnz588ZmYqKCiIlJUUePnxIampqiLKyMpkxY4ZQff39/QmHwyHPnz8nL168IGJiYiQ1NZUQQsi2bduIuro66dWrFyPfuXNnsnfvXkIIIfn5+UROTo5s3bqV5ObmkqSkJGJtbU2mTZvGyOvq6hJVVVWya9cukpeXRzZu3EjExMSaNBpWrFhBunfv3vhDEMLQoUOJs7Mzy62hYfn69Wsyc+ZM0rlzZ1JTU9NoXI0Zlr169SI8Ho/cvXuX2NvbE1tbWyaMubk5mTRpEsnKyiK5ubnk+PHjJD09nVRXV5Nt27YRRUVFUlpaSkpLS8nr16+ZslFUVCSBgYEkPz+f5Ofni2RY3rp1i7Rp04bMnj2bpKenkz///JPs2LGDPH36lLx48YL06dOHeHt7M+nxBwoa0pRhmZOTQ9q0aUOKi4sJIYQcOnSIdO3alRkc4SNKHdi/fz85e/YsKSgoIMnJyaRPnz5k0KBBAmk2Vb7CEGZYmpiYkJiYGJKTk0NGjx5NdHV1yYcPH0h1dTXJyclhjM/S0lJSXV0tch1u+Jy+RN1//fo16dSpE7G3tyeJiYkkLy+PHDt2jDGGRXkfNEZLDEsFBQUyd+5ckp2dTfbv308AEC6XS/z9/Ulubi5Zv349kZSUJPfv3yeE1L23TE1NiYeHB8nIyCCZmZlkwoQJxNjYmFRXVwvVh//erG/0PXr0iEhISJAtW7aQwsJCkpGRQXbt2sW0j8OHDxMtLS0SGRlJ7t27RyIjI4mqqioJCwsTqfyioqKIpKQk2bVrF8nJySFBQUFEXFyc/PHHH6w61NT7tKSkhLRp04YsWLCAZGdnk8OHD5N27dqxynbIkCHE2dmZZGRkkIKCAvL777+ThIQEVv579erFDCjxoYYlpTmoYUlpTahhSfmq+FoNy2vXrrE6tA3ZsmULAUAeP35MamtriZqaGjlx4gQhhBArKyuyceNGoqmpSQipm3WSlJQkb968IYTUzV42NFgPHTpEtLS0mHv+bBKfyspKAoCcO3eOcQsPDyc2NjaEEELKysoIAAEDgk9UVBQBQFJSUgghhHTr1o1s3ryZEEKIm5sb8ff3J1JSUuT169fkwYMHBADJzc0lhNTNXjY0WBMTE4mYmBjzXHV1dcmkSZMY/9raWtK2bVvWrG198vLyiKKiItmzZ49Qf2E8fPiQiIuLk2PHjrHcp06dSsTFxYmcnByRk5MjAIiWlha5ceNGk/E1NWPJ58yZMwQAk08FBQWmw9uQ0NBQoqSkJOCuq6tL3NzcWG6iGJbu7u7Ezs6uUf0dHBzIDz/80GQe+ek3ZlhWVFQQNzc3snbtWkIIIf379yfbt28XMCxFqQMNSU1NJQAYA0KU8hWGMMNy3759jP/du3cJAJKVlUUIqRtwqT9TKar+wp7Tl6j7wcHBREFBgTUoVB9R3geN0RLDUldXlzXQYmxsTOzt7Zn7jx8/Ejk5OXL06FFGB2NjY1JbW8vIVFdXExkZGRIbGytUH34dLikpYdxu3LhBALBWGdTHwMCAHDlyhOW2fv160qdPH0JI8+Vna2tLvL29WW5jxowhgwf/9bvQ3Pt02bJlxMzMjBXHkiVLWGVrYWHRrLE/YsQI1qADIdSwpDQPNSwprQndY0n577D8UePX2ENs2UX5QL9Fdf+LS9X97beoTnbSb2xZ3zvC4/wECCFN+ktJSYHD4aBfv37g8Xh48eIFMjMzMWfOHFRXVyM7OxsJCQno0aMHZGVlAQC3b9/GunXrIC8vz1ze3t4oLS3F27dvmbgtLS2Z/+Xk5KCoqIgnT54wbtHR0XB1dW2xvgDg4OAAHo8HQggSExMxcuRImJqa4sqVK0hISED79u1haGjI6BsWFsbSl8vlora2FoWFhUL15XA40NTUZOnL5+HDh3BxccGYMWPg7e3NuNePf9asWQLhDhw4AGVlZbi5uQn49e/fH+np6UhPT8f169fB5XIxaNAgFBcXAwAGDRrExF3/4B9h1M+HlpYWADD5WLBgAby8vODk5IRNmzahoKCgybj42NjYiCRXn/T0dAwYMKDF4VqKh4cHwsLCcO/ePSQnJ2PixIkCMqLUgRs3bmDYsGHQ0dGBgoICHBwcAEDg4KimyldUWhqHqHW44XP6EnU/PT0d1tbWUFVVbVQ3Ud4Hn4u5uTnExP7qQrRr1w4WFhbMvbi4ONTU1Bi9b9++jfz8fCgoKDB6qaqq4t27d43W+6qqKgCAtLQ049a1a1cMGDAAFhYWGDNmDPbu3YuKigoAwJs3b1BQUABPT09W/jds2MCk0Vz5ZWVlwc7OjuVmZ2eHrKwslltT79OsrCz06tWLJd+nTx/WvY+PDzZs2AA7OzusXr1a6OFgMjIyX/SZUSgUyt+NRGsrQKF8MaTkRJdN3gVc3gz0XwE4LP7r4B5xqbr7T423ETp37gwOh4OsrCyMGDFCwD8rKwsaGhrMKaCOjo7Ys2cPEhMTYW1tDUVFRcbYTEhIYDrZQN3hImvXrsXIkSMF4q3fIZOUlGT5cTgc1NbWAqg7WOT8+fPM4Td8XRp2purrKyEhAX19fUbfkJAQ3L59G5KSkjAxMYGjoyN4PB4qKioE9J05cyZ8fHwE4q1/yEtT+vJ59OgR+vfvD1tbW+zZs4flV/90VkVFRZYfIQQhISGYPHkyYxzXR05ODp07d2bu9+3bByUlJezduxcbNmzAvn37mE5vQz0bUt+ff9gNPx9r1qzBhAkTcObMGZw7dw6rV69GRESE0DrSUL/68Dv49QcCPnz4wJKRkZFpMs4vxaBBgzBjxgx4enpi2LBhQg99aa4OvHnzBlwuF1wuF+Hh4dDQ0EBJSQm4XK7AIThNla+otDQOUetww+f0Jep+c89R1PfB5yJMx6b0rqysRPfu3REeHi4QV2MH0qirqwMAKioqGBlxcXHExcXh6tWruHDhAnbs2IEVK1YgJSWFGWzbu3evgGEnLl53KNuXageivJ+awsvLC1wuF2fOnMGFCxewceNGBAUF4fvvv2dkysvLYWBg8EX0pVAolH8CalhSvj34RiTfqAT++nvJn33/hVBTU4OzszN++eUXzJ8/n9W5KSsrQ3h4OObOncu4OTg4wNfXFydOnICjoyOAOuPt4sWLSEpKwsKFCxnZbt26IScnh2UItRQejwcVFRV07doVQJ2hMnbsWISHh2PdunXQ1NRkZKuqqvDLL79gxIgRzOcm7O3t8fr1a2zdupUxIh0dHbFp0yZUVFQI6JuZmflZ+gJ1M5X9+/dH9+7dERoaypo9AdBk/AkJCcjPz4enp6dIaXE4HIiJiTHGZIcOHT5d8QYYGRnByMgI8+fPh7u7O0JDQzFixAhISUmhpqZGpDj4ne7S0lKoqKgAgMBnTywtLREfH4+1a9cKjaMl6TWFhIQEpkyZgp9++gnnzp0TKtNcHbhz5w6eP3+OTZs2QVtbGwCQlpb22bp9KT61Dn+Jum9paYl9+/ahvLxc6Kzbl3gf/B1069YNx44dQ9u2bQUGehrDwMAAioqKyMzMhJGREePO4XBgZ2cHOzs7rFq1Crq6ujh58iQWLFiA9u3b4969e0JnyoHmy8/U1BRJSUmYOnUq45aUlAQzMzOR82pqaorTp0+z3K5duyYgp62tjVmzZmHWrFlYtmwZ9u7dyzIs//zzT4wePVrkdCkUCqW1oUthKd8etTVso5KPw+I699rP71wLY+fOnaiurgaXy8Xly5dx//59nD9/Hs7OzjAyMsKqVasYWUtLS6ioqODIkSMsw/LUqVOorq5mLdVatWoVDh48iLVr1+Lu3bvIyspCREQEVq5cKbJup0+fFlgG6+/vD01NTTg7O+PcuXO4f/8+Ll++DC6XCzExMWzfvp2RVVFRgaWlJcLDwxl9+/Xrh5s3byI3N5c1Y7lkyRJcvXoV8+bNQ3p6OvLy8hAdHY158+aJrO/Dhw/h6OgIHR0dBAYG4unTpygrK0NZWZlI4ffv349evXqhS5cuQv2rq6uZ+LKysvD999+jsrISw4YNE1nH5qiqqsK8efPA4/FQXFyMpKQkpKamwtTUFEDd9wUrKysRHx+PZ8+eNbkkrnPnztDW1saaNWuQl5eHM2fOICgoiCWzbNkypKamYs6cOcjIyEB2djZ+/fVXPHv2jEkvJSUFRUVFePbsWYtn/eqzfv16PH36FFwuV6h/c3VAR0cHUlJS2LFjB+7du4fTp0//q74f+al1+EvUfXd3d2hqasLNzQ1JSUm4d+8eIiMjkZycDODLvA/+DiZOnAh1dXUMHz4ciYmJKCwsBI/Hg4+PDx48eCA0jJiYGJycnHDlyhXGLSUlBQEBAUhLS0NJSQmioqLw9OlTpt2sXbsWGzduxM8//4zc3FzcuXMHoaGhzDchmyu/RYsWISwsDL/++ivy8vKwZcsWREVFwc/PT+S8zpo1C3l5eVi0aBFycnJw5MgRhIWFsWR8fX0RGxuLwsJC3Lx5E5cuXWLyANR9F/fhw4dwcnISOV0KhUJpbahhSfn26L+s8RlJh8V1/n8DhoaGSE1NRadOnTB27Fjo6upi0KBBMDIyQlJSEuTl5RlZDocDe3t7cDgc9O3bF0CdsamoqAgbGxvWEjsul4uYmBhcuHABPXr0QO/evbF169YWffdNmGGprq6Oa9euoX///pg5cyb09fXh4OCAmpoapKenM3vR+PD9+IalqqoqzMzMoKmpCWNjY0bO0tISCQkJyM3Nhb29PaytrbFq1Sq0b99eZH3j4uKQn5+P+Ph4dOzYEVpaWszVHC9fvkRkZGSTs5Xnz59n4uvVqxdSU1NZs8dfAnFxcTx//hxTpkyBkZERxo4di0GDBjEzira2tpg1axbGjRsHDQ0N/PTTT43GJSkpiaNHjyI7OxuWlpb43//+hw0bNrBkjIyMcOHCBdy+fRs9e/ZEnz59EB0dDQmJuoUrfn5+EBcXh5mZGbP09FORkpKCurq6wHcu+TRXBzQ0NBAWFoYTJ07AzMwMmzZtQmBg4Cfr86X51Dr8Jeq+lJQULly4gLZt22Lw4MGwsLDApk2bmKWeX+J98HcgKyuLy5cvQ0dHh9mD7enpiXfv3jU5g+nl5YWIiAhmoENRURGXL1/G4MGDYWRkhJUrVyIoKAiDBg1i5Pft24fQ0FBYWFjAwcEBYWFhzLL95srPzc0N27dvR2BgIMzNzREcHIzQ0NAWtX0dHR1ERkbi1KlT6Nq1K3bv3o2AgACWTE1NDebOnQtTU1O4uLjAyMgIv/zyC+N/9OhRDBw4sNWfG4VCobQEDmnudA4K5V/Eu3fvUFhYCH19/S+6X6i1WL16NbZs2YK4uDj07t27VXS4efMmvvvuOzx9+rTZ/YL79+/HnDlzcOzYMaGH3lD+++jp6cHX1xe+vr6trQrlG4AQgl69ejFLxb8F3r9/D0NDQxw5ckTgIKGioiLo6+vj1q1bsLKyah0FKf9q/mv9JMrXBZ2xpFBakbVr1+Lnn3/GtWvXPmvp4efw8eNH7Nixo1mjEgA8PT0RERGBrKwsZr8h5dtjyZIlkJeXx8uXL1tbFcp/HA6Hgz179uDjx4+trco/RklJCZYvXy5gVA4aNKjZU6gpFAqlNaEzlpSvCjoSR6G0LsXFxcyJs506dRI4NIlCofw9PHz4kBnQ4+9DplAaQvtJlNaEngpLoVAoFJGhe74olNbhS55GTaFQKH8HdKiZQqFQKBQKhUKhUCifBTUsKRQKhUKhUCgUCoXyWVDDkkKhUCgUCoVCoVAonwU1LCkUCoVCoVAoFAqF8llQw5JCoVAoFAqFQqFQKJ8FNSwpFAqFQqFQKBQKhfJZUMOSQvkXMG3aNLi5ubWqDjweDxwOBy9evGhUZs2aNbCysvrHdPo30Zp5/zfUj6+Jb60uFxUVgcPhID09/R9JT09PDxwOp9ky/q/i6OjI5P+fKnMKhUL5GqCGJeWb5FV8CR4sTcSr+BKh9xTh+Pn5IT4+vrXV+GSqqqogJyeH/Px8hIWFgcPhwNTUVEDuxIkT4HA40NPTY9xakvfWMFr4Hd2G1+bNm4XKSEhIQEdHBwsWLEB1dfVnp79r1y7o6elBWloavXr1wvXr15uUj4qKgo2NDZSVlSEnJwcrKyscOnRIpLRu3bqFMWPGoF27dpCWloahoSG8vb2Rm5srsr5fU13Oz8/H9OnT0bFjR7Rp0wb6+vpwd3dHWlraF03H0dERvr6+IsmuW7cOpaWlUFJSAvCXMa+iooJ3796xZFNTU5l6x4cvL+wqKytjGa/CrmnTpgFovN5HREQwadXU1GDr1q2wsLCAtLQ0VFRUMGjQICQlJbH05L8TOBwOxMTEoKWlhXHjxqGkhP27EBUV1Wz9plAolG8RalhSvjlexZfgVVxx3f9xxXi67w7rnhqXjSMvLw81NbXWVuOTiYuLg66uLjp37gwAkJOTw5MnT5CcnMyS279/P3R0dFhuf0feP3z48MXiKi0tZV0hISHgcDgYNWoUSy40NBSlpaUoLCzEL7/8gkOHDmHDhg2flfaxY8ewYMECrF69Gjdv3kTXrl3B5XLx5MmTRsOoqqpixYoVSE5ORkZGBqZPn47p06cjNja2ybRiYmLQu3dvVFdXIzw8HFlZWTh8+DCUlJTw448/iqzz11KX09LS0L17d+Tm5iI4OBiZmZk4efIkTExMsHDhwlbTS0FBAZqamixjke9+8uRJlpuw9sQnJydHoO62bdsWqampzH1kZKSA7Pbt25k4+HW6/sWf4SeEYPz48Vi3bh1++OEHZGVlgcfjQVtbG46Ojjh16hRLH0VFRZSWluLhw4eIjIxETk4OxowZw5JRVVWFhobGpxQbhUKh/KehhiXlq4cQgtr3NSJffCOST3X+C9b9q7hikeMihIis52+//QYLCwvIyMhATU0NTk5OePPmDUsmMDAQWlpaUFNTw9y5c1mGR3V1Nfz8/NChQwfIycmhV69e4PF4jH9YWBiUlZURGxsLU1NTyMvLw8XFBaWlpYyMsJH9+rNyAHDjxg3Y2NhAVlYWtra2yMnJYfyam4mLiYmBsrIyampqAADp6engcDhYunQpI+Pl5YVJkyYBAJ4/fw53d3d06NABsrKysLCwwNGjR1lxOjo6wsfHB4sXL4aqqio0NTWxZs0alkx2djb69u0LaWlpmJmZ4eLFi+BwOAKdxujoaLi6ujL3EhISmDBhAkJCQhi3Bw8egMfjYcKECaywDfPO4/HQs2dPyMnJQVlZGXZ2diguLkZYWBjWrl2L27dvM2UcFhbGlP+vv/4KV1dXyMnJwd/fHzU1NfD09IS+vj5kZGRgbGzM6jSLiqamJuuKjo5G//790alTJ5acsrIyNDU1oa2tjaFDh2L48OG4efNmo/FOmDAB48aNY7l9+PAB6urqOHjwIABgy5Yt8Pb2xvTp02FmZobdu3dDVlaWVa4NcXR0xIgRI2BqagoDAwP88MMPsLS0xJUrVxoN8/btW0yfPh2DBw/G6dOn4eTkBH19ffTq1QuBgYEIDg5mybekLvOXG39OGywuLsawYcOgoqICOTk5mJub4+zZs4z/n3/+iUGDBkFeXh7t2rXD5MmT8ezZs0bzSwjBtGnTYGhoiMTERAwZMgQGBgawsrLC6tWrER0dzZK/d+8e+vfvD1lZWXTt2pU1YNJcW5s2bRoSEhKwfft2pt4WFRU1qltjTJ06lfXcq6qqEBERgalTpwqVb9u2rUDdFRMTg4aGBnOvqqoqIMufKQX+qtP1L2lpaQDA8ePH8dtvv+HgwYPw8vKCvr4+unbtij179sDV1RVeXl6s9zCHw4Gmpia0tLRga2sLT09PXL9+Ha9evWpxWVAoFMq3hkRrK0ChfC7kQy0erbr6ReMUNb7262zBkRJvVq60tBTu7u746aefMGLECLx+/RqJiYksw/TSpUvQ0tLCpUuXkJ+fj3HjxsHKygre3t4AgHnz5iEzMxMRERFo3749Tp48CRcXF9y5cweGhoYA6jregYGBOHToEMTExDBp0iT4+fkhPDyc0YPPmzdv4OLigj59+rB0XbFiBYKCgqChoYFZs2bBw8NDYMlYY9jb2+P169e4desWbGxskJCQAHV1dVbnOyEhAUuWLAEAvHv3Dt27d8eSJUugqKiIM2fOYPLkyTAwMEDPnj2ZMAcOHMCCBQuQkpKC5ORkTJs2DXZ2dnB2dkZNTQ3c3Nygo6ODlJQUvH79WuhMTm1tLWJiYgSMTQ8PDzg6OmL79u2QlZVFWFgYXFxc0K5du0bz+fHjR7i5ucHb2xtHjx7F+/fvcf36dXA4HIwbNw5//vknzp8/j4sXLwIAqxO8Zs0abNq0Cdu2bYOEhARqa2vRsWNHnDhxAmpqarh69SpmzJgBLS0tjB07VqRyb8jjx49x5swZHDhwoEm53Nxc/PHHH8yyQmFMnDgRY8aMQWVlJeTl5QEAsbGxePv2LUaMGIH379/jxo0bWLZsGRNGTEwMTk5OAjPBjUEIwR9//IGcnBz873//a1QuNjYWz549w+LFi4X6Kysrs+5bWpc/tw3OnTsX79+/x+XLlyEnJ4fMzEymzF68eIHvvvsOXl5e2Lp1K6qqqrBkyRKMHTsWf/zxh1B90tPTcffuXRw5cgRiYoLjwMLyGxgYCENDQ6xYsQLu7u7Iz8+HhIREs21t+/btyM3NRZcuXbBu3ToA+KRZucmTJ2Pz5s0oKSmBjo4OIiMjoaenh27durU4ri/BkSNHYGRkhGHDhgn4LVy4EFFRUYiLixO6h/nJkyc4efIkxMXFIS7e/HueQqFQvnWoYUmh/AOUlpbi48ePGDlyJHR1dQEAFhYWLBkVFRXs3LkT4uLiMDExwZAhQxAfHw9vb2+UlJQgNDQUJSUlaN++PYC6PWLnz59HaGgoAgICANTNJO3evRsGBgYA6jrC/E4iUDerBdR15EeNGgUlJSWBWR5/f384ODgAAJYuXYohQ4bg3bt3zAxAUygpKcHKygo8Hg82Njbg8XiYP38+1q5di8rKSrx8+RL5+flM/B06dICfnx8T/vvvv0dsbCyOHz/OMiwtLS2xevVqAIChoSF27tyJ+Ph4ODs7Iy4uDgUFBeDxeEz+/P394ezszNLt2rVrAIBevXqx3K2trdGpUyf89ttvmDx5MsLCwrBlyxbcu3ev0Xy+evUKL1++xNChQ5myrr9XU15eHhISEow+9ZkwYQKmT5/Oclu7di3zv76+PpKTk3H8+PFPNiwPHDgABQUFjBw5UsDP3d0d4uLi+PjxI6qrqzF06FCWUdgQLpcLOTk5nDx5EpMnTwZQ11l3dXWFgoICHj16hJqaGgFDvF27dsjOzm5Sz5cvX6JDhw6orq6GuLg4fvnlF4HnVp+8vDwAgImJSZPx8mlpXf7cNlhSUoJRo0Yxbbv+bPHOnTthbW3NtFUACAkJgba2NnJzc2FkZPTZ+fXz88OQIUMA1NUpc3Nz5Ofnw8TEpNm2pqSkBCkpKcjKygqtt6LStm1bDBo0CGFhYVi1ahVCQkLg4eHRqHzHjh1Z97q6urh7926L0uTX6fpkZmZCR0cHubm5QvdRA3+12fp7c1++fAl5eXkQQvD27VsAgI+PD+Tk5FqkE4VCoXyLUMOS8tXDkRRD+3W2Isu/5t3H6z/uN+qv8J02FBy1RU5bFLp27YoBAwbAwsICXC4XAwcOxOjRo6GiosLImJubszpHWlpauHPnDgDgzp07qKmpEeh8VldXs/aJycrKMoYOPw5h+9yWL1+O5ORkpKWlQUZGhuVnaWnJCg/Ujdw33COVmJiIQYMGMffBwcGYOHEiHBwcwOPxsHDhQiQmJmLjxo04fvw4rly5gvLycrRv356ZYa2pqUFAQACOHz+Ohw8f4v3796iuroasrGyjOjXMV05ODrS1tVmd4fpGKZ/o6GgMHTpU6MyPh4cHQkNDoaOjgzdv3mDw4MHYuXOngBwfVVVVTJs2DVwuF87OznBycsLYsWOZ8moKGxsbAbddu3YhJCQEJSUlqKqqwvv37xtdchweHo6ZM2cy9+fOnYO9vT1LJiQkBBMnThRqQG3duhVOTk6oqalBfn4+FixYgMmTJyMiIgIlJSUwMzNjZJcvX47ly5dj7NixCA8Px+TJk/HmzRtER0ezDkf5VBQUFJCeno7KykrEx8djwYIF6NSpExwdHREQEMAywjIzM1u09BwQvS7z+dw26OPjg9mzZ+PChQtwcnLCqFGjGB1u376NS5cuMTOY9SkoKEBqaqrAc/1S+TUxMRG5rX0JPDw88MMPP2DSpElITk7GiRMnkJiYKFQ2MTERCgoKzL2kpGSL0+PX6frwjX8ALSpHBQUF3Lx5Ex8+fMC5c+cQHh4Of3//FutEoVAo3yLUsKR89XA4HJGWo/Jpyqjk+ysN1PtMrdiIi4sjLi4OV69exYULF7Bjxw6sWLECKSkp0NfXByDYoeJwOKitrQUAVFZWQlxcHDdu3BAYma/fURUWR8NO1eHDh7F161bweDx06NBBQNf6cfAP5uDrUR8bGxvWUfv8GStHR0eEhITg9u3bkJSUhImJCRwdHcHj8VBRUcHMIAHA5s2bsX37dmzbtg0WFhaQk5ODr68v3r9/36hODctGVE6fPo1NmzYJ9Zs4cSIWL16MNWvWYPLkyZCQaP7VGBoaCh8fH5w/fx7Hjh3DypUrERcXh969ezcZruHMR0REBPz8/BAUFIQ+ffpAQUEBmzdvRkpKitDwrq6urFnXhs8wMTEROTk5OHbsmNDwmpqazOFFxsbGeP36Ndzd3bFhwwbo6emxnil/bxt/wODJkyeIi4uDjIwMXFxcAADq6uoQFxfH48ePWek8fvy42ZkvMTExRhcrKytkZWVh48aNcHR0xKxZs1gztu3bt2eMuuzsbIEl3MIQtS4Lk+eHaUkb9PLyApfLxZkzZ3DhwgVs3LgRQUFB+P7771FZWYlhw4YJXeqrpaWF2tpagefKn/HNzs6GtbX1Z+VX1Lb2JRg0aBBmzJgBT09PDBs2rMlDkvT19QWW9LaU+nW6IUZGRsjKyhLqx3evP1hQv06ampqioKAAs2fPFvnEYgqFQvmWoYf3UL45FJ11WfdtOis36f+l4HA4sLOzw9q1a3Hr1i1ISUkJnJ7YGNbW1qipqcGTJ0/QuXNn1tWSZWvJycnw8vJCcHBwswZQc8jIyLD04M868PdZbt26lTEi+YYlj8eDo6MjE0dSUhKGDx+OSZMmoWvXrujUqVOLPhkB1BlH9+/fZxk2qampLJm8vDwUFxc3usxSVVUVrq6uSEhIaHLZXkOsra2xbNkyXL16FV26dMGRI0cAAFJSUswBRs2RlJQEW1tbzJkzB9bW1ujcuTMKCgoalVdQUGCVe8MZ5/3796N79+7o2rWrSOnzjaSqqipISEiw4uYblra2ttDW1saxY8cQHh6OMWPGMEaMlJQUunfvzvp0R21tLeLj40Uy/upTW1vLfPpEVVWVpYuEhAQGDhwIdXV1/PTTT0LD/53fVBS1DWpra2PWrFmIiorCwoULsXfvXgBAt27dcPfuXejp6QmEl5OTE/pcraysYGZmhqCgIKEGcUvyK0pba0m9bQoJCQlMmTIFPB6vRe3p72D8+PHIy8vD77//LuAXFBQENTW1JpdfL126FMeOHWvygCsKhUKh1EENS8o3h+IAHcZ4VHTWhYaXBetecYDwZXKfQ0pKCgICApCWloaSkhJERUXh6dOnje79aYiRkREmTpyIKVOmICoqCoWFhbh+/To2btyIM2fOiBRHWVkZRowYgfHjx4PL5aKsrAxlZWV4+vTp52RNABUVFVhaWiI8PJwxIvv164ebN28iNzeXNWNpaGjIzORmZWVh5syZAjNfzeHs7AwDAwNMnToVGRkZSEpKwsqVKwH8NWsTHR0NJyenJpf9hYWF4dmzZyLtZyssLMSyZcuQnJyM4uJiXLhwAXl5eczz1NPTQ2FhIdLT0/Hs2bMmvxNpaGiItLQ0xMbGIjc3Fz/++KOAYSwqr169wokTJ+Dl5dWozIsXL1BWVoZHjx4hISEB69atg5GRUbN1ccKECdi9ezfi4uIwceJElt+CBQuwd+9eHDhwAFlZWZg9ezbevHnD2ks6ZcoU1l7OjRs3Ii4uDvfu3UNWVhaCgoJw6NAh5sRgYcjJyWHfvn04c+YMXF1dcfHiRRQVFSEtLQ2LFy/GrFmzmiuiT0aUNujr64vY2FgUFhbi5s2buHTpElOuc+fORXl5Odzd3ZGamoqCggLExsZi+vTpjRpzHA4HoaGhyM3Nhb29Pc6ePYt79+4hIyMD/v7+GD58uMj6i9LW9PT0kJKSgqKiIjx79qzFqwLqs379ejx9+hRcLrdJuSdPnjDvIv7V0s/w8Ot0/Yt/0uv48eMxYsQITJ06Ffv370dRUREyMjIwc+ZMnD59Gvv27Wty/6S2tjZGjBiBVatWtUgnCoVC+RahhiXlm0RxgA46brJnjMiG9188PUVFXL58GYMHD4aRkRFWrlyJoKAg1h7F5ggNDcWUKVOwcOFCGBsbw83NDampqY3uF2tIdnY2Hj9+jAMHDkBLS4u5evTo8anZahQHBwfU1NQwhqWqqirMzMygqakJY2NjRm7lypXo1q0buFwuHB0doampKfR0xqYQFxfHqVOnUFlZiR49esDLywsrVqwAAGaPYcPPjAiD/xkYUZCVlUV2djZGjRoFIyMjzJgxA3PnzmX2yI0aNQouLi7o378/NDQ0BD6hUp+ZM2di5MiRGDduHHr16oXnz59jzpw5IunRkIiICBBC4O7u3qjM9OnToaWlhY4dO8Ld3R3m5uY4d+5cs8t/J06ciMzMTHTo0AF2dnYsv3HjxiEwMBCrVq2ClZUV0tPTcf78edaBPiUlJQKnEs+ZMwfm5uaws7NDZGQkDh8+3KRRDADDhw/H1atXISkpiQkTJsDExATu7u54+fLlZ3+Pszmaa4M1NTWYO3cuTE1N4eLiAiMjI/zyyy8A6pbyJiUloaamBgMHDoSFhQV8fX2hrKwsdN8vn549eyItLQ2dO3eGt7c3TE1N4erqirt372Lbtm0i6y5KW/Pz84O4uDjMzMygoaGBkpJP/6avlJQU1NXVBb5z2RBjY2PW+0hLSws3btxoUVr8Ol3/2rFjB4A64/z48eNYvnw5tm7dCmNjY9jb26O4uBg8Hk+k9838+fNx5swZXL9+vUV6USgUyrcGh7T0dAAKpRV59+4dCgsLoa+vL9IppZRvk6SkJPTt2xf5+flQUlKClpYWHjx40OQnRCgUimjo6enB19cXvr6+ra1Kq1FUVAR9fX3cunWryW/7Uij/NLSfRGlN6IwlhUL56jl58iTi4uJQVFSEixcvYsaMGbCzs4OBgQHKy8uxZcsWalRSKF+QJUuWQF5eHi9fvmxtVf5xBg0aBHNz89ZWg0KhUP510FNhKRTKV8/r16+xZMkSlJSUQF1dHU5OTggKCgJQtzdO2DcCKRTKp5GQkMDsg6z/qZBvhX379qGqqgoARN6KQKFQKN8CdCks5auCLvGgUCgUCoVCEQ7tJ1FaE7oUlkKhUCgUCoVCoVAonwU1LCkUCoVCoVAoFAqF8llQw5JCoVAoFAqFQqFQKJ8FNSwpFAqFQqFQKBQKhfJZUMOSQqFQKBQKhUKhUCifBTUsKRQKhUKhUCgUCoXyWVDDkkL5FzBt2jS4ubm1qg48Hg8cDgcvXrxoVGbNmjWwsrL6x3T6N9Gaef831I+viW+tLhcVFYHD4SA9Pf0fSU9PTw8cDqfZMv4vcerUKXTu3Bni4uLw9fVtbXX+cVq7vfz444+YMWNGq6X/JRDlvcQnMzMTHTt2xJs3b1jujo6OTNv7p9o7hdISqGFJ+SZ5FV+CB0sT8Sq+ROg9RTh+fn6Ij49vbTU+maqqKsjJySE/Px9hYWHgcDgwNTUVkDtx4gQ4HA709PQYt5bkvTU6YfzORsNr8+bNQmUkJCSgo6ODBQsWoLq6+rPT37VrF/T09CAtLY1evXrh+vXrTcpHRUXBxsYGysrKkJOTg5WVFQ4dOiRSWrdu3cKYMWPQrl07SEtLw9DQEN7e3sjNzRVZ36+pLufn52P69Ono2LEj2rRpA319fbi7uyMtLe2LpuPo6Ciy0bRu3TqUlpZCSUkJwF+dZhUVFbx7944lm5qaytS7fwMcDgenTp1qUZiZM2di9OjRuH//PtavX//3KNZK1B8oEHZNmzatVdtLWVkZtm/fjhUrVrRK+q2BmZkZevfujS1btrDco6Kimn23UiitCTUsKd8cr+JL8CquuO7/uGI83XeHdU+Ny8aRl5eHmppaa6vxycTFxUFXVxedO3cGAMjJyeHJkydITk5mye3fvx86Ojost78j7x8+fPhicZWWlrKukJAQcDgcjBo1iiUXGhqK0tJSFBYW4pdffsGhQ4ewYcOGz0r72LFjWLBgAVavXo2bN2+ia9eu4HK5ePLkSaNhVFVVsWLFCiQnJyMjIwPTp0/H9OnTERsb22RaMTEx6N27N6qrqxEeHo6srCwcPnwYSkpK+PHHH0XW+Wupy2lpaejevTtyc3MRHByMzMxMnDx5EiYmJli4cGGr6aWgoABNTU0BY1FBQQEnT55kuQlrT18TlZWVePLkCbhcLtq3bw8FBYVPiuf9+/dfWLMvQ2pqKvPeiIyMBADk5OQwbtu3b2/V9rJv3z7Y2tpCV1e3VdJvLaZPn45ff/0VHz9+ZNxUVVWhoaHRilpRKE1DDUvKf4ba9zWNXuRDLSPHNyL5VOe/YN039G8szpby22+/wcLCAjIyMlBTU4OTk5PAMpfAwEBoaWlBTU0Nc+fOZRke1dXV8PPzQ4cOHSAnJ4devXqBx+Mx/mFhYVBWVkZsbCxMTU0hLy8PFxcXlJaWMjLCRqPrz8oBwI0bN2BjYwNZWVnY2toiJyeH8WtuJi4mJgbKysqoqakrn/T0dHA4HCxdupSR8fLywqRJkwAAz58/h7u7Ozp06ABZWVlYWFjg6NGjrDgdHR3h4+ODxYsXQ1VVFZqamlizZg1LJjs7G3379oW0tDTMzMxw8eJFobMS0dHRcHV1Ze4lJCQwYcIEhISEMG4PHjwAj8fDhAkTWGEb5p3H46Fnz56Qk5ODsrIy7OzsUFxcjLCwMKxduxa3b99myjgsLIwp/19//RWurq6Qk5ODv78/ampq4OnpCX19fcjIyMDY2Bjbt29vtIwbQ1NTk3VFR0ejf//+6NSpE0tOWVkZmpqa0NbWxtChQzF8+HDcvHmz0XgnTJiAcePGsdw+fPgAdXV1HDx4EACwZcsWeHt7Y/r06TAzM8Pu3bshKyvLKteGODo6YsSIETA1NYWBgQF++OEHWFpa4sqVK42Gefv2LaZPn47Bgwfj9OnTcHJygr6+Pnr16oXAwEAEBwez5FtSl/nLjT+nDRYXF2PYsGFQUVGBnJwczM3NcfbsWcb/zz//xKBBgyAvL4927dph8uTJePbsWaP5JYRg2rRpMDQ0RGJiIoYMGQIDAwNYWVlh9erViI6OZsnfu3cP/fv3h6ysLLp27coaMGmurU2bNg0JCQnYvn07U2+Liooa1a0xpk6dynruVVVViIiIwNSpUwVkr1y5Ant7e8jIyEBbWxs+Pj6sd+KhQ4dgY2PDGLETJkxgDVbwZ0nj4+Mbfc7NwV9GHBUVJbTseDweY0h+99134HA4zDNvTn89PT2sX78eU6ZMgaKiIrOUU5RwAQEB8PDwgIKCAnR0dLBnzx6W3g8ePIC7uztUVVUhJycHGxsbpKSkMP7R0dHo1q0bpKWl0alTJ6xdu5ZloNRHQ0ODeW+oqqoCANq2bcu4KSkpNdpeAgIC0K5dOygrK2PdunX4+PEjFi1aBFVVVXTs2BGhoaGstO7fv4+xY8dCWVkZqqqqGD58eLP1LCIiAsOGDWO5Nfd7um/fPpiamkJaWhomJib45ZdfWlR+v/76KwwMDCAlJQVjY2OB1RQcDgf79u3DiBEjICsrC0NDQ5w+fZolc/bsWRgZGUFGRgb9+/cXyGdz7wtnZ2eUl5cjISGhyfKhUP5VEArlK6KqqopkZmaSqqoqAb/7Sy43ej0NucPIvbxY3KTso40prHgfrrsqVK4lPHr0iEhISJAtW7aQwsJCkpGRQXbt2kVev35NCCFk6tSpRFFRkcyaNYtkZWWR33//ncjKypI9e/YwcXh5eRFbW1ty+fJlkp+fTzZv3kzatGlDcnNzCSGEhIaGEklJSeLk5ERSU1PJjRs3iKmpKZkwYQITR2lpKXPl5+eTzp07k8mTJxNCCLl06RIBQHr16kV4PB65e/cusbe3J7a2tkz41atXk65duzaazxcvXhAxMTGSmppKCCFk27ZtRF1dnfTq1YuR6dy5M9m7dy8hhJAHDx6QzZs3k1u3bpGCggLy888/E3FxcZKS8tczcHBwIIqKimTNmjUkNzeXHDhwgHA4HHLhwgVCCCEfP34kxsbGxNnZmaSnp5PExETSs2dPAoCcPHmSiaempoa0bduWXL16lSkvJSUlcvPmTaKoqEjevHlDCCFk/fr1ZPjw4WTr1q1EV1dXaN4/fPhAlJSUiJ+fH8nPzyeZmZkkLCyMFBcXk7dv35KFCxcSc3Nzpqzfvn1LCCEEAGnbti0JCQkhBQUFpLi4mLx//56sWrWKpKamknv37pHDhw8TWVlZcuzYMSbtqVOnkuHDhzda7g0pKysjEhISJDw8nOXesExycnKIvr4+Wbt2baNxxcTEEBkZGaauEkLI77//TmRkZMirV69IdXU1ERcXZ8VLCCFTpkwhrq6uIulbW1tLLl68SGRlZZnnKoyoqCgCgHmGjfEpdflLtMEhQ4YQZ2dnkpGRQQoKCsjvv/9OEhISCCGEVFRUEA0NDbJs2TKSlZVFbt68SZydnUn//v0bzcfNmzcJAHLkyJEm81tYWEgAEBMTExITE0NycnLI6NGjia6uLvnw4QMhpPm29uLFC9KnTx/i7e3N1NuPHz8KTU9XV5ds3bpVaJnn5OSQNm3akOLiYkIIIYcOHSJdu3YlJ0+eJPW7HPn5+UROTo5s3bqV5ObmkqSkJGJtbU2mTZvGyOzfv5+cPXuWFBQUkOTkZNKnTx8yaNAggTSbes7CqN8Omiu76upqkpOTQwCQyMhIUlpaSqqrq0XSX1dXlygqKpLAwECSn5/PXKKEU1VVJbt27SJ5eXlk48aNRExMjGRnZxNCCHn9+jXp1KkTsbe3J4mJiSQvL48cO3aMaReXL18mioqKJCwsjBQUFJALFy4QPT09smbNmibLpX6ZVlRUsNyFtRcFBQUyd+5ckp2dTfbv308AEC6XS/z9/Ulubi5Zv349kZSUJPfv3yeEEPL+/XtiampKPDw8SEZGBsnMzCQTJkwgxsbGpLq6Wqg+z58/JxwOh1y7do1xa+739PDhw0RLS4tERkaSe/fukcjISKKqqkrCwsJEKr+oqCgiKSlJdu3aRXJyckhQUBARFxcnf/zxB6sOdezYkRw5coTk5eURHx8fIi8vT54/f04IIaSkpIS0adOGLFiwgGRnZ5PDhw+Tdu3ascq2qfcFn169epHVq1ez3Ph19tatW0LLrKl+EoXyd0MNS8pXxZcwLAkh5P7SxmUf777Nkv0ShuWNGzcIAFJUVCTUf+rUqURXV5fVkRszZgwZN24cIYSQ4uJiIi4uTh4+fMgKN2DAALJs2TJCSJ2hBIDk5+cz/rt27SLt2rUTSK+2tpaMGDGCdO/enTF6+B2KixcvMnJnzpwhAJjybs6wJISQbt26kc2bNxNCCHFzcyP+/v5ESkqKvH79mjx48IAAYDriwhgyZAhZuHAhc+/g4ED69u3LkunRowdZsmQJIYSQc+fOEQkJCVJaWsr4x8XFCRhRSUlJpG3btqSmpoYpLyUlJUIIIVZWVuTAgQOktraWGBgYkOjo6CYNy+fPnxMAhMfjCc1DY+UEgPj6+jaadz5z584lo0aNYu5balj+73//IyoqKgLtBACRlpYmcnJypE2bNgQAGTp0KHn//n2jcX348IGoq6uTgwcPMm7u7u5M3Xz48KFQY2/RokWkZ8+eTer54sULIicnRyQkJEibNm3I/v37m80XAFJeXt6k3KfU5S/RBi0sLBrtvK9fv54MHDiQ5Xb//n3GGBPGsWPHCABy8+bNJvPL72ju27ePcbt79y4BQLKyshoNJ6yt/fDDD02mRUjThmVFRQVxc3NjBiv69+9Ptm/fLmBYenp6khkzZrDiSExMJGJiYo12iFNTUwkAxoAQ5TkLQ5hh2VTZVVRUEADk0qVLLdJfV1eXuLm5sWREDTdp0iTGv7a2lrRt25b8+uuvhBBCgoODiYKCAmPENGTAgAEkICCA5Xbo0CGipaXVaJnwaYlhqaury7xPCSHE2NiY2NvbM/cfP34kcnJy5OjRo4wOxsbGpLa2lpGprq4mMjIyJDY2Vqg+t27dIgBISUkJ49bc76mBgYHAYMz69etJnz59CCHNl5+trS3x9vZmuY0ZM4YMHjyYuQdAVq5cydxXVlYSAOTcuXOEEEKWLVtGzMzMWHEsWbKEVbZNvS/4jBgxgjXoQAg1LCn/buhSWMp/hvbrbBu91CaZMXKv4ksA0ng8bTopsu41l/QUGmdL6Nq1KwYMGAALCwuMGTMGe/fuRUVFBUvG3Nwc4uLizL2Wlhaz7OvOnTuoqamBkZER5OXlmSshIQEFBQVMGFlZWRgYGAiNoz7Lly9HcnIyoqOjISMjw/KztLRkhQcgNI7ExESWLuHh4QAABwcH8Hg8EEKQmJiIkSNHwtTUFFeuXEFCQgLat28PQ0NDAEBNTQ3Wr18PCwsLqKqqQl5eHrGxsSgpYe9zra9Tw3zl5ORAW1sbmpqajH/Pnj0F9I2OjsbQoUMhJib42vPw8EBoaCgSEhLw5s0bDB48WECmPqqqqpg2bRq4XC6GDRuG7du3s5YcN4WNjY2A265du9C9e3doaGhAXl4ee/bsESgDPuHh4axyT0xMFJAJCQnBxIkTIS0tLeC3detWpKen4/bt24iJiUFubi4mT54MACgpKWHFHRAQAAkJCYwdO5Z5vm/evEF0dDQmTpwoUn6bQkFBAenp6UhNTYW/vz8WLFjALDMMCAhg6VJSUgJCmmi4QhC1LvP53Dbo4+ODDRs2wM7ODqtXr0ZGRgYT1+3bt3Hp0iVWWBMTEwBAQUGB0Of6JfMralv7Enh4eCAsLAz37t1DcnKy0Lpy+/ZthIWFsfLM5XJRW1uLwsJCAHVLmYcNGwYdHR0oKCjAwcEBAJp8P4jynIXR0jhE0R8QbO+ihquvD4fDgaamJqNPeno6rK2tmWWrwnRbt24dKw1vb2+Ulpbi7du3LSiVpjE3N2e9T9u1awcLCwvmXlxcHGpqaozet2/fRn5+PhQUFBi9VFVV8e7dO9bvWH2qqqoAgPUua+r39M2bNygoKICnpycr/xs2bGDSaK78srKyYGdnx3Kzs7NDVlYWy63+M5KTk4OioiKT16ysLPTq1Ysl36dPH9Z9U+8LPjIyMl/0mVEofzcSra0AhfKlEJMSb14IgnsoG/I6/j6UnPVaHG9TiIuLIy4uDlevXsWFCxewY8cOrFixAikpKdDX1wcASEpKssJwOBzU1tbtDa2srIS4uDhu3LjB6vgCdYeQ8BEWR8PO6eHDh7F161bweDx06NBBQNf6cfAP5uDrUR8bGxvWceft2rUDULd3LiQkBLdv34akpCRMTEzg6OgIHo+HiooKpnMIAJs3b8b27duxbds2WFhYQE5ODr6+vgKHXDRVNqJy+vRpbNq0SajfxIkTsXjxYqxZswaTJ0+GhETzr8bQ0FD4+Pjg/PnzOHbsGFauXIm4uDj07t27yXBycnKs+4iICPj5+SEoKAh9+vSBgoICNm/ezNrvUx9XV1dWh6XhM0xMTEROTg6OHTsmNLympiZzeJGxsTFev34Nd3d3bNiwAXp6eqxnyu94TZw4EQ4ODnjy5Ani4uIgIyMDFxcXAIC6ujrExcXx+PFjVjqPHz9mGfvCEBMTY3SxsrJCVlYWNm7cCEdHR8yaNQtjx45lZNu3bw8jIyMAdXtqG3bShCFqXRYmzw/Tkjbo5eUFLpeLM2fO4MKFC9i4cSOCgoLw/fffo7KyEsOGDcP//vc/gXS1tLRQW1sr8Fyzs7OZ/FpbW39WfkVta1+CQYMGYcaMGfD09MSwYcOEHvpSWVmJmTNnwsfHR8BPR0cHb968AZfLBZfLRXh4ODQ0NFBSUgIul9vk+0GU5yyMlsbRnP58GrZ3UcM1VRcbDgYK023t2rUYOXKkgJ+wwaZPRZiOzbWh7t27M4NU9WnsQBp1dXUAQEVFBSPT1O+prKwsAGDv3r0Chh2/3TZXfqLyub9LTb0v+JSXl7MGiymUfzvUsKR8cyg667KMyzadlVkH+Cg6/z0nz3E4HNjZ2cHOzg6rVq2Crq4uTp48iQULFjQb1traGjU1NXjy5Ans7e0/WYfk5GR4eXkhODi4WQOoOWRkZBijoD729vZ4/fo1tm7dyhiRjo6O2LRpEyoqKlgnWSYlJWH48OHMYT61tbXIzc2FmZmZQLyNYWxsjPv37+Px48eMcZuamsqSycvLQ3FxMZydnYXGoaqqCldXVxw/fhy7d+8WOW1ra2tYW1tj2bJl6NOnD44cOYLevXtDSkqKOcCoOZKSkmBra4s5c+Ywbo2N3gN1s3xNnUq5f/9+dO/eHV27dhUpfX5nq6qqChISEkKfqa2tLbS1tXHs2DGcO3cOY8aMYTpVUlJS6N69O+Lj45lvbdbW1iI+Ph7z5s0TSQc+tbW1zKdPVFVVBWYUBg4cCHV1dfz0008CJ48CwIsXL6CsrNyiNEVF1Daora2NWbNmYdasWVi2bBn27t2L77//Ht26dUNkZCT09PQaHbho+FytrKxgZmaGoKAgjBs3TmC2vSX5FaWttaTeNoWEhASmTJmCn376CefOnRMq061bN2RmZgqtb0DdDPHz58+xadMmaGtrA8AX/7zK59Cc/l86XH0sLS2xb98+lJeXC51169atG3Jycj4rjb+Dbt264dixY2jbti0UFRWbDwDAwMAAioqKyMzMZAaWgKZ/T9u3b4979+41uqqiufIzNTVFUlIS68CppKSkFv0umZqaChzmc+3aNQG5xt4XfP7880+MHj1a5HQplNaGLoWlfHMoDtBhjEdFZ11oeFmw7hUHfPlj8VNSUhAQEIC0tDSUlJQgKioKT58+FfoNRWEYGRlh4sSJmDJlCqKiolBYWIjr169j48aNOHPmjEhxlJWVYcSIERg/fjy4XC7KyspQVlaGp0+ffk7WBFBRUYGlpSXCw8Ph6OgIAOjXrx9u3ryJ3Nxc1oyloaEhM/KclZWFmTNnCsx8NYezszMMDAwwdepUZGRkICkpCStXrgTw18xDdHQ0nJycmNFsYYSFheHZs2fM8sSmKCwsxLJly5CcnIzi4mJcuHABeXl5zPPU09NDYWEh0tPT8ezZsya/E2loaIi0tDTExsYiNzcXP/74o4BhLCqvXr3CiRMn4OXl1ajMixcvUFZWhkePHiEhIQHr1q2DkZFRs3VxwoQJ2L17N+Li4gQ6bAsWLMDevXtx4MABZGVlYfbs2Xjz5g2mT5/OyEyZMgXLli1j7jdu3Ii4uDjcu3cPWVlZCAoKwqFDhxjDRxhycnLYt28fzpw5A1dXV1y8eBFFRUVIS0vD4sWLMWvWrOaK6JMRpQ36+voiNjYWhYWFuHnzJi5dusSU69y5c1FeXg53d3ekpqaioKAAsbGxmD59eqPGHIfDQWhoKHJzc2Fvb4+zZ8/i3r17yMjIgL+/P4YPHy6y/qK0NT09PaSkpKCoqAjPnj1r8axffdavX4+nT5+Cy+UK9V+yZAmuXr2KefPmIT09HXl5eYiOjmYGI3R0dCAlJYUdO3bg3r17OH369L/q+5HN6f+lw9XH3d0dmpqacHNzQ1JSEu7du4fIyEjmJNtVq1bh4MGDWLt2Le7evYusrCxEREQw78XWYuLEiVBXV8fw4cORmJiIwsJC8Hg8+Pj44MGDB0LDiImJwcnJiXVadHO/p2vXrsXGjRvx888/Izc3F3fu3EFoaCjzTcjmym/RokUICwvDr7/+iry8PGzZsgVRUVHw8/MTOa+zZs1CXl4eFi1ahJycHBw5coQ5HZxPU+8LoO7E4ocPH8LJyUnkdCmU1oYalpRvEsUBOui4yZ4xIhvef/H0FBVx+fJlDB48GEZGRli5ciWCgoIwaNAgkeMIDQ3FlClTsHDhQhgbG8PNzQ2pqakifx8uOzsbjx8/xoEDB6ClpcVcPXr0+NRsNYqDgwNqamoYw1JVVRVmZmbQ1NSEsbExI7dy5Up069YNXC4Xjo6OzI99SxAXF8epU6dQWVmJHj16wMvLi/mQNn/ZV8PPjAiDf2y9KMjKyiI7OxujRo2CkZERZsyYgblz52LmzJkAgFGjRsHFxQX9+/eHhoaGwCdU6jNz5kyMHDkS48aNQ69evfD8+XPW7GVLiIiIACEE7u7ujcpMnz4dWlpa6NixI9zd3WFubo5z5841u/x34sSJyMzMRIcOHQT2H40bNw6BgYFYtWoVrKyskJ6ejvPnzzMzyEDdvrj6+1DfvHmDOXPmwNzcHHZ2doiMjMThw4ebNIoBYPjw4bh69SokJSUxYcIEmJiYwN3dHS9fvvzs73E2R3NtsKamBnPnzoWpqSlcXFxgZGTEfOagffv2SEpKQk1NDQYOHAgLCwv4+vpCWVlZ6L5fPj179kRaWho6d+4Mb29vmJqawtXVFXfv3sW2bdtE1l2Utubn5wdxcXGYmZkxS08/FSkpKairqwt855KPpaUlEhISGKPZ2toaq1atQvv27QHULY0MCwvDiRMnYGZmhk2bNiEwMPCT9fnSNKf/lw5XHykpKVy4cAFt27bF4MGDYWFhgU2bNjGrD7hcLmJiYnDhwgX06NEDvXv3xtatW1v9O5CysrK4fPkydHR0mL33np6eePfuXZMzmF5eXoiIiGAGOpr7PfXy8sK+ffsQGhoKCwsLODg4ICwsjNl20lz5ubm5Yfv27QgMDIS5uTmCg4MRGhrK/J6Jgo6ODiIjI3Hq1Cl07doVu3fvRkBAAEumqfcFABw9ehQDBw5s9edGobQEDmnp6QAUSivy7t07FBYWQl9f/4vuFaH8t0hKSkLfvn2Rn58PJSUlaGlp4cGDByxDh0KhfBp6enrw9fWFr69va6tC+QYghKBXr16YP39+k4Nm/yXev38PQ0NDHDlyRGAgr6ioCPr6+rh165bQ70rTfhKlNaEzlhQK5avn5MmTiIuLQ1FRES5evIgZM2bAzs4OBgYGKC8vx5YtW6hRSaF8QZYsWQJ5eXm8fPmytVWh/MfhcDjYs2cPPn782Nqq/GOUlJRg+fLlAkbloEGDYG5u3kpaUSjNQ2csKV8VdCSOIoyDBw9iw4YNKCkpgbq6OpycnBAUFCTy0lYKhSI6xcXF+PDhAwCgU6dOTS7lpVAoX46HDx8yn2Dh70NuCO0nUVoTalhSviroC5NCoVAoFApFOLSfRGlN6DAjhUKhUCgUCoVCoVA+C2pYUigUCoVCoVAoFArls6CGJYVCoVAoFAqFQqFQPgtqWFIoFAqFQqFQKBQK5bOghiWFQqFQKBQKhUKhUD4LalhSKBQKhUKhUCgUCuWzoIYl5Zvm1bMneHwvH6+ePWlVPaZNmwY3N7dW1YHH44HD4eDFixeNyqxZswZWVlb/mE6tiaOjI3x9fVtbjW+OoqIicDgcpKenNyoTFhYGZWXlf0ynvxsOh4NTp079I2k5OjqCw+E0W8b/VaZNm8bk/58qcwqFQvlWoIYl5Zvl1bMnCPGdicPLfBHiO7PVjcuvAT8/P8THx7e2Gp9MVVUV5OTkkJ+f/1UZJ66urtDR0YG0tDS0tLQwefJkPHr0qMkwe/bsgaOjIxQVFZsdMKhPamoqBgwYAGVlZaioqIDL5eL27duMP38Agn/JyMjA3Nwce/bsESn+/Px8TJ8+HR07dkSbNm2gr68Pd3d3pKWliRQeAMaNG4fc3FyR5VuTsrIyfP/99+jUqRPatGkDbW1tDBs27Iu3o5YMTnl7e6O0tBRdunQB8JcxLy4ujocPH7JkS0tLISEhAQ6Hg6KiIpa8sOvatWss41XY5ejoCADQ09MT6r9p0yaWDgcOHECPHj0gKysLBQUFODg4ICYmhiXTsF5qaGhg8ODBuHPnDktu+/btKC0tFbFUKRQKhdISqGFJ+WapevUKNR8+AABqPnxA1atXrazRvx95eXmoqam1thqfTFxcHHR1ddG5c+fWVqVF9O/fH8ePH0dOTg4iIyNRUFCA0aNHNxnm7du3cHFxwfLly0VOp7KyEi4uLtDR0UFKSgquXLkCBQUFcLlcfPj/tsInJycHpaWlyMzMxMyZMzF79uxmjaW0tDR0794dubm5CA4ORmZmJk6ePAkTExMsXLhQZD1lZGTQtm1bkeVbi6KiInTv3h1//PEHNm/ejDt37uD8+fPo378/5s6d22p6ycrKQlNTExISEiz3Dh064ODBgyy3AwcOoEOHDkLjuXjxIkpLS1lX9+7dERUVxdxfv35dQDYqKoqJY926dQJxfP/994y/n58fZs6ciXHjxiEjIwPXr19H3759MXz4cOzcuVNAJ369jI2NRXV1NYYMGYL3798z/kpKStDU1Gx5oVEoFAqleQiF8hVRVVVFMjMzSVVVFeNWW1tL3ldViXw9f1BCHmTdJRnxsSRw7BDmyoiPJQ+y7pLnD0pEjqu2tlZk3U+cOEG6dOlCpKWliaqqKhkwYACprKwkhBAydepUMnz4cLJ582aiqalJVFVVyZw5c8j79++Z8O/evSMLFy4k7du3J7KysqRnz57k0qVLjH9oaChRUlIi58+fJyYmJkROTo5wuVzy6NEjRgaAwKWrq0sIIeTSpUsEALl48SLp3r07kZGRIX369CHZ2dlM+NWrV5OuXbs2msfff/+dKCkpkY8fPxJCCLl16xYBQJYsWcLIeHp6kokTJxJCCHn27BkZP348ad++PZGRkSFdunQhR44cYcXp4OBAvv/+e7Jo0SKioqJC2rVrR1avXs2SycrKInZ2dqRNmzbE1NSUxMXFEQDk5MmTLDkPDw9GF355NYaDgwP54YcfmPuDBw+S7t27E3l5edKuXTvi7u5OHj9+zPjzy+/8+fPEysqKSEtLk/79+5PHjx+Ts2fPEhMTE6KgoEDc3d3JmzdvmHDnzp0jdnZ2RElJiaiqqpIhQ4aQ/Pz8RvUihJDo6GjC4XBY9aMx+HpVVFQ0K5uamkoAkJKSEsYtIyODACB5eXlNxmdgYEB++umnRuOura0l5ubmpHv37qSmpkbAnx9fYWEhAUAiIyOJo6MjkZGRIZaWluTq1auMbMNnx6+XBw8eJLq6ukRRUZGMGzeOvHr1ipGpqakhAQEBRE9Pj0hLSxNLS0ty4sQJxr+8vJxMmDCBqKurE2lpadK5c2cSEhLC+JeUlJAxY8YQJSUloqKiQlxdXUlhYWGT5Tlo0CDSoUMHpp0Lyy8hde1y7969xM3NjcjIyJDOnTuT6Ohoxv/jx4/Ew8OD0d3IyIhs27aNlf+G7br+u6E+Des1IX+V+cqVK4mhoSHLz8jIiPz4448EAJNfvvytW7eazH9zsrq6umTr1q2Nhk1OTiYAyM8//yzgt2DBAiIpKcnUVWH18vTp0wQAuX37tkB4Ye8HCuW/gLB+EoXyT8EerqRQvkI+Vlfj56lNz96IwoXgn1scxufAb5CUlm5WrrS0FO7u7vjpp58wYsQIvH79GomJiSCEMDKXLl2ClpYWLl26hPz8fIwbNw5WVlbw9vYGAMybNw+ZmZmIiIhA+/btcfLkSbi4uODOnTswNDQEUDdLFRgYiEOHDkFMTAyTJk2Cn58fwsPDGT34vHnzBi4uLujTpw9L1xUrViAoKAgaGhqYNWsWPDw8kJSUJFJ52Nvb4/Xr17h16xZsbGyQkJAAdXV18Hg8RiYhIQFLliwBALx79w7du3fHkiVLoKioiDNnzmDy5MkwMDBAz549mTAHDhzAggULkJKSguTkZEybNg12dnZwdnZGTU0N3NzcmFm2169fC539qq2tRUxMzCfvq/rw4QPWr18PY2NjPHnyBAsWLMC0adNw9uxZltyaNWuwc+dOyMrKYuzYsRg7dizatGmDI0eOoLKyEiNGjMCOHTuYMnjz5g0WLFgAS0tLVFZWYtWqVRgxYgTS09MhJia4qKS8vBzh4eGwtbWFpKTkJ+WlMYyNjaGmpob9+/dj+fLlqKmpwf79+2Fqago9PT2hYQghiI2NRUlJCXr16tVo3Onp6bh79y6OHDkiNF8NlyWvWLECgYGBMDQ0xIoVK+Du7o78/HyBWTY+BQUFOHXqFGJiYlBRUYGxY8di06ZN8Pf3BwBs3LgRhw8fxu7du2FoaIjLly9j0qRJ0NDQgIODA3788UdkZmbi3LlzUFdXR35+PqqqqgDUPXsul4s+ffogMTEREhIS2LBhA1xcXJCRkQEpKSkBfcrLy3H+/Hn4+/tDTk6u2fyuXbsWP/30EzZv3owdO3Zg4sSJKC4uhqqqKmpra9GxY0ecOHECampquHr1KmbMmAEtLS2MHTsWfn5+yMrKwqtXrxAaGgoAUFVVbfRZNIarqyt2796NK1euoG/fvrhy5QoqKiowbNgwrF+/vsXxfS5Hjx6FvLw8Zs6cKeC3cOFCbNmyBZGRkUL3Qr98+RIREREAIPT5UCgUCuXLQw1LCuUfoLS0FB8/fsTIkSOhq6sLALCwsGDJqKioYOfOnRAXF4eJiQmGDBmC+Ph4eHt7o6SkBKGhoSgpKUH79u0B1C0RO3/+PEJDQxEQEACgrgO8e/duGBgYAKgzRtetW8ekwV8CRgjBqFGjoKSkhODgYJYe/v7+cHBwAAAsXboUQ4YMwbt37yAtggGtpKQEKysr8Hg82NjYgMfjYf78+Vi7di0qKyvx8uVL5OfnM/F36NABfn5+TPjvv/8esbGxOH78OMuwtLS0xOrVqwEAhoaG2LlzJ+Lj4+Hs7Iy4uDgUFBSAx+Mx+fP394ezszNLt2vXrgFAk8ZPU3h4eDD/d+rUCT///DN69OiByspKyMvLM34bNmyAnZ0dAMDT0xPLli1DQUEBOnXqBAAYPXo0Ll26xBiWo0aNYqUTEhICDQ0NZGZmMnvgAGDJkiXYuXMn3r59i969ewvsMfsSKCgogMfjwc3NjTEkDA0NERsbK2DQdezYEQBQXV2N2tparFu3Dv369Ws07ry8PACAiYmJSLr4+flhyJAhAOqMLnNzc+Tn5zcavra2FmFhYVBQUAAATJ48GfHx8fD390d1dTUCAgJw8eJFZiClU6dOuHLlCoKDg+Hg4ICSkhJYW1vDxsYGAFiG9LFjx1BbW4t9+/aBw+EAAEJDQ6GsrAwej4eBAwcK6JOfnw9CiMj5nTZtGtzd3QEAAQEB+Pnnn3H9+nW4uLhAUlISa9euZWT19fWRnJyM48ePY+zYsZCXl4eMjAyqq6s/a5mnpKQkJk2ahJCQEPTt2xchISGYNGlSowMYtra2AoMElZWVLUpzyZIlWLlyJcvt3LlzsLe3R25uLgwMDIQahu3bt4eioqLAXlt+vXzz5g2AOmNZ1GdAoVAolM+DGpaUrx6JNm3gc+A3kWRfP3+Kg0t8mL2VHA4HhBDmLwCIS0piyv9+hoKahkhpi0LXrl0xYMAAWFhYgMvlYuDAgRg9ejRUVFQYGXNzc4iLizP3WlpazMETd+7cQU1NDYyMjFjxVldXs/Y8ysrKMkYlP44nTwQPJVq+fDmSk5ORlpYGGRkZlp+lpSUrPAA8efIEOjo6LLnExEQMGjSIuQ8ODsbEiRPh4OAAHo+HhQsXIjExERs3bsTx48dx5coVlJeXo3379swMa01NDQICAnD8+HE8fPgQ79+/R3V1NWRlZRvVqWG+cnJyoK2tzepQ1zdK+URHR2Po0KFCZ8tE4caNG1izZg1u376NiooK1NbWAgBKSkpgZmYmVNd27dpBVlaWMSr5bvx9Z0CdwbVq1SqkpKTg2bNnrHjrG5aLFi2Cp6cniouLsXbtWkyZMgUxMTGModNSBg0ahMTERACArq4u7t69i6qqKnh6esLOzg5Hjx5FTU0NAgMDMWTIEKSmprLqSmJiIhQUFFBdXY3r169j3rx5UFVVxezZsxEeHs6aZTp37hxrdl4UGquHjRkJenp6jFHJD8OvI/n5+Xj79q3AYMP79+9hbW0NAJg9ezZGjRqFmzdvYuDAgXBzc4OtrS0A4Pbt28jPz2fFD9TNuBcUFAhtCy3dx1s/v3JyclBUVGS13V27diEkJAQlJSWoqqrC+/fv/5YTmj08PGBra4uAgACcOHECycnJ+Pjxo1DZY8eOwdTU9LPSW7RoEaZNm8Zyq7+ns6X1JjExEbKysrh27RoCAgKwe/fuz9KPQqFQKKJDDUvKVw+HwxFpOSoAqHbQhse2YFS9eoXyh/dxdmcQgLrOy+B5C6HaQRsyiopQVP+yB4OIi4sjLi4OV69exYULF7Bjxw6sWLECKSkp0NfXBwCBWQEOh8MYGZWVlRAXF8eNGzdYxicA1myZsDgadswOHz6MrVu3gsfjCT2Uo34cfKOFr0d9bGxsWJ8raNeuHYC6zxmEhITg9u3bkJSUhImJCRwdHcHj8VBRUcHMVgLA5s2bsX37dmzbtg0WFhaQk5ODr68v67CN5spGVE6fPi1w2qSovHnzBlwuF1wuF+Hh4dDQ0EBJSQm4XG6TunI4nGZ1HzZsGHR1dbF37160b98etbW16NKli0C86urqUFdXh5GREUxNTaGtrY1r164JLGUWlX379jFLPfk6HjlyBEVFRUhOTmYM8CNHjkBFRQXR0dEYP348E15fX59Zzmlubo6UlBT4+/tj9uzZcHV1Zc0Md+jQAdnZ2QCA7OxsxphrClHroTB5fpj67QcAzpw5I1Dn2/z/4NCgQYNQXFyMs2fPIi4uDgMGDMDcuXMRGBiIyspKdO/enVlSXh8NDQ1ISUkJtIUPHz6Aw+Ew+W5JfhvqHxERAT8/PwQFBaFPnz5QUFDA5s2bkZKSIlLcLcHCwgImJiZwd3eHqakpunTp0uhnSbS1tT/7ICx1dfVG4zAyMsKVK1fw/v17gVnLR48e4dWrVwKDbfx6yV+yPm7cOFy+fPmzdKRQKBSKaFDDkvLNoajeVqjhqNpBG+06/X2nhXI4HNjZ2cHOzg6rVq2Crq4uTp48iQULFjQb1traGjU1NXjy5Ans7e0/WYfk5GR4eXkhODgYvXv3/uR4gLqTOYV1CPn7LLdu3coYkY6Ojti0aRMqKipY+x+TkpIwfPhwTJo0CUCd4ZCbm8uaAWwOY2Nj3L9/H48fP2aM29TUVJZMXl4eiouLBWasRCU7OxvPnz/Hpk2boK2tDQAt+jxGYzx//hw5OTnYu3cv81yvXLnSbDi+wVFdXf3JaQsbVHj79i3ExMRYs6D8++YMeXFxccZQVVBQEJjds7KygpmZGYKCgjBu3DiBmeMXL178bZ9/MTMzQ5s2bVBSUsIa2GiIhoYGpk6diqlTp8Le3h6LFi1CYGAgunXrhmPHjqFt27ZQVFQUGlZYW+Byudi1axd8fHwE9lm2JL9JSUmwtbXFnDlzGLeCggKWjJSUFGpqakSKrzk8PDwwZ84c/Prrr18kvk9l/Pjx+PnnnxEcHMw6KRYAAgMDISkpKbCUvD5z587Fxo0bcfLkSYwYMeLvVpdCoVC+eejnRijfLDKKihD//1kCcUlJyDTSYfwSpKSkICAgAGlpaSgpKUFUVBSePn0q8jIyIyMjTJw4EVOmTEFUVBQKCwtx/fp1bNy4EWfOnBEpjrKyMowYMQLjx48Hl8tFWVkZysrK8PTp08/JmgAqKiqwtLREeHg48726fv364ebNm8jNzWV17A0NDZmZ3KysLMycOROPHz9uUXrOzs4wMDDA1KlTkZGRgaSkJGbPFt9Aio6OhpOTk8AS25qaGqSnp7OurKwsgTR0dHQgJSWFHTt24N69ezh9+vQXOcxERUUFampq2LNnD/Lz8/HHH38IDDSkpKRg586dSE9PR3FxMf744w+4u7vDwMCAma18+PAhTExMWEtsy8rKkJ6ejvz8fAB1y6nT09NRXl7eqD7Ozs6oqKjA3LlzkZWVhbt372L69OmQkJBA//79WbJPnjxBWVkZiouLceLECRw6dAjDhw9vNG4Oh4PQ0FDk5ubC3t4eZ8+exb1795CRkQF/f/8mw34uCgoK8PPzw/z583HgwAEUFBTg5s2b2LFjBw4cOAAAWLVqFaKjo5Gfn4+7d+8iJiaGaZ8TJ06Euro6hg8fjsTERBQWFoLH48HHxwcPHjxoNN1du3ahpqYGPXv2RGRkJPLy8pCVlYWff/65RTPNhoaGSEtLQ2xsLHJzc/Hjjz8KDJ7o6ekhIyMDOTk5ePbsmcDnYVqCt7c3nj59Ci8vryblnj9/zrxH+Ne7d+9alNbr168F4nj1/59+6tOnD3744QcsWrQIQUFBKCgoQHZ2NlauXInt27cjKCiIGegRhqysLLy9vbF69eoWL6mlUCgUSsuhhiXlm0VRvS08tgVj0sZt8NgW/MWXv7LSUlTE5cuXMXjwYBgZGWHlypUICgpi7ctqjtDQUEyZMgULFy6EsbEx3NzckJqaKrD3sTGys7Px+PFjHDhwAFpaWszVo0ePT81Wozg4OKCmpoYxLFVVVWFmZgZNTU0YGxszcitXrkS3bt3A5XLh6OgITU1NkT/yzkdcXBynTp1CZWUlevToAS8vL6xYsQIAmAOHoqOj4erqKhC2srIS1tbWrGvYsGECchoaGggLC8OJEydgZmaGTZs2ITAwsEV6CkNMTAwRERG4ceMGunTpgvnz52Pz5s0sGVlZWURFRWHAgAEwNjaGp6cnLC0tkZCQwCzj/PDhA3JycvD27Vsm3O7du2Ftbc2cKtyvXz9YW1vj9OnTjepjYmKC33//HRkZGejTpw/s7e3x6NEjnD9/ntnnyMfY2BhaWlro3LkzlixZgpkzZ2LHjh1N5rdnz55IS0tD586d4e3tDVNTU7i6uuLu3bvYtm1bS4quxaxfvx4//vgjNm7cCFNTU7i4uODMmTPMUnQpKSksW7YMlpaW6NevH8TFxZlTRWVlZXH58mXo6Ohg5MiRMDU1haenJ969e9foDCZQd0DQzZs30b9/fyxcuBBdunSBs7Mz4uPjWzQbOHPmTIwcORLjxo1Dr1698Pz5c9bsJVBnDBobG8PGxgYaGhoin+QsDAkJCairqzd6Ai8fJycn1rtES0urxacur1q1SiCOxYsXM/7btm3DL7/8gqNHj6JLly6wsbHB5cuXcerUKYFZTGHMmzcPWVlZOHHiRIv0olAoFErL4RA6jEf5inj37h0KCwuhr68v0imllG+TpKQk9O3bF/n5+VBSUoKWlhYePHjALJWlUL5VHB0dYWVl9bcb8v92OBwOTp482eKBLArl3w7tJ1FaEzpjSaFQvnpOnjyJuLg4FBUV4eLFi5gxYwbs7OxgYGCA8vJybNmyhRqVFMr/88svv0BeXp45dfpbYtasWawDzygUCoXy5aAzlpSvCjoSRxHGwYMHsWHDBpSUlEBdXR1OTk4ICgpifYqFQqHU7cflH7LE3zv8LfHkyRNmD6eWlpbAoUoUytcO7SdRWhNqWFK+KugLk0KhUCgUCkU4tJ9EaU3oUlgKhUKhUCgUCoVCoXwW1LCkUCgUCoVCoVAoFMpnQQ1LCoVCoVAoFAqFQqF8FtSwpFAoFAqFQqFQKBTKZ0ENSwqFQqFQKBQKhUKhfBbUsKRQKBQKhUKhUCgUymdBDUvKN82rZ0/w+F4+Xj170qp6TJs2DW5ubq2qA4/HA4fDwYsXLxqVWbNmDaysrP4xnVoTR0dH+Pr6trYa3xxFRUXgcDhIT09vVCYsLAzKysr/mE5/NxwOB6dOnfpH0nJ0dASHw2m2jP9LJCUlwcLCApKSkq3+nm0NWru97N+/HwMHDmy19L8EoryX+Dx79gxt27bFgwcPWO7Tpk1j2t4/1d4plH8aalhSvllePXuCEN+ZOLzMFyG+M1vduPwa8PPzQ3x8fGur8clUVVVBTk4O+fn5rd7Zagmurq7Q0dGBtLQ0tLS0MHnyZDx69KjJMHv27IGjoyMUFRWbHTCoT2pqKgYMGABlZWWoqKiAy+Xi9u3bjD9/AIJ/ycjIwNzcHHv27BEp/vz8fEyfPh0dO3ZEmzZtoK+vD3d3d6SlpYkUHgDGjRuH3NxckeVbk7KyMnz//ffo1KkT2rRpA21tbQwbNuyLt6OWDE55e3ujtLQUXbp0AfBXp1lcXBwPHz5kyZaWlkJCQgIcDgdFRUVfVOdPQU9PD9u2bWtRmAULFsDKygqFhYUICwv7W/RqLeoPFAi7HB0dW7W9vHv3Dj/++CNWr17dKum3Burq6pgyZYpAnrdv347S0tJW0opC+WeghiXlm6Xq1SvUfPgAAKj58AFVr161skb/fuTl5aGmptbaanwycXFx0NXVRefOnVtblRbRv39/HD9+HDk5OYiMjERBQQFGjx7dZJi3b9/CxcUFy5cvFzmdyspKuLi4QEdHBykpKbhy5QoUFBTA5XLx4f/bCp+cnByUlpYiMzMTM2fOxOzZs5s1ltLS0tC9e3fk5uYiODgYmZmZOHnyJExMTLBw4UKR9ZSRkUHbtm1Flm8tioqK0L17d/zxxx/YvHkz7ty5g/Pnz6N///6YO3duq+klKysLTU1NSEhIsNw7dOiAgwcPstwOHDiADh06/JPqfXEKCgrw3XffoWPHjp88mPT+/fsvq9QXIioqCqWlpSgtLcX169cBABcvXmTcoqKiWrW9/Pbbb1BUVISdnV2rpN9aTJ8+HeHh4SgvL2fclJSUoKmp2YpaUSh/P9SwpPxn+PDuXaPXx3qdglfPnuBhdiaeFN1jhX9SdA8PszNR/uiBSPG2lN9++w0WFhaQkZGBmpoanJyc8ObNG5ZMYGAgtLS0oKamhrlz57I689XV1fDz80OHDh0gJyeHXr16gcfjMf78GbjY2FiYmppCXl4eLi4urBFSYSPaenp6LB1u3LgBGxsbyMrKwtbWFjk5OYxfc0thY2JioKysjJqaGgBAeno6OBwOli5dysh4eXlh0qRJAIDnz5/D3d0dHTp0gKysLCwsLHD06FFWnI6OjvDx8cHixYuhqqoKTU1NrFmzhiWTnZ2Nvn37QlpaGmZmZrh48aLQ5UbR0dFwdXVtVP+mOHToEGxsbKCgoABNTU1MmDABT578NcvNn8mLjY2FtbU1ZGRk8N133+HJkyc4d+4cTE1NoaioiAkTJuDt27dMuPPnz6Nv375QVlaGmpoahg4dioKCAlba8+fPR+/evaGrqwtbW1ssXboU165dEzD26uPr64ulS5eid+/eIucxOzsb5eXlWLduHYyNjWFubo7Vq1fj8ePHKC4uZsm2bdsWmpqa0NfXh4+PD/T19XHz5s1G4yaEYNq0aTA0NERiYiKGDBkCAwMDWFlZYfXq1YiOjmbJ37t3D/3794esrCy6du2K5ORkxq/hbDO/Xh46dAh6enpQUlLC+PHj8fr1a0amtrYWGzduhL6+PmRkZNC1a1f89ttvjH9FRQUmTpwIDQ0NyMjIwNDQEKGhoYz//fv3MXbsWCgrK0NVVRXDhw9vdgZvzpw54HA4uH79OkaNGgUjIyOYm5tjwYIFuHbtGkv22bNnGDFiBGRlZWFoaIjTp08zfjU1NfD09GR0NzY2xvbt21n5P3DgAKKjo5l2Xf/dICpTp05l5RkAQkNDMXXqVAHZP//8E4MGDYK8vDzatWuHyZMn49mzZ4x/c/WaP0saFRXV6HMWBQ6Hg3379gktO34az58/h4eHBzgcDjNj2Zz+jo6OmDdvHnx9faGurg4ulytyuObeVy9evMDMmTPRrl07SEtLo0uXLoiJiWH8r1y5Ant7e8jIyEBbWxs+Pj4CvxV8+GloampCQ0MDAKCmpsa4qaqqNtpeQkJCoKOjA3l5ecyZMwc1NTX46aefoKmpibZt28Lf319Aby8vL2hoaEBRURHfffcdazWDMCIiIjBs2DCWG4/HQ8+ePSEnJwdlZWXY2dmx3i/R0dHo1q0bpKWl0alTJ6xduxYfP34UufwiIyNhbm6ONm3aQE9PD0FBQaz09fT0EBAQAA8PDygoKEBHR0dgxcX169dhbW0NaWlp2NjY4NatWyz/5t4X5ubmaN++PU6ePNlk+VAo/zWoYUn5z/Dz1NGNXqe3BAD4a/lrxOrFuBD8Myv8heCfEbF6MUIXzGYti907z0NonC2htLQU7u7u8PDwQFZWFng8HkaOHAlCCCNz6dIlFBQU4NKlSzhw4ADCwsJYy7bmzZuH5ORkREREICMjA2PGjIGLiwvy8vIYmbdv3yIwMBCHDh3C5cuXUVJSAj8/P5Ye/Cs/Px+dO3dGv379WLquWLECQUFBSEtLg4SEBDw8PETOp729PV6/fs38CCckJEBdXZ3VyU1ISICjoyOAumVS3bt3x5kzZ/Dnn39ixowZmDx5MjPyzufAgQOQk5NDSkoKfvrpJ6xbtw5xcXEA6jrdbm5ukJWVRUpKCvbs2YMVK1YI6FZbW4uYmBgMHz5c5PzU58OHD1i/fj1u376NU6dOoaioCNOmTROQW7NmDXbu3ImrV68yxsi2bdtw5MgRnDlzBhcuXMCOHTsY+Tdv3mDBggVIS0tDfHw8xMTEMGLECNTW1grVo7y8HOHh4bC1tYWkpOQn5aUxjI2Noaamhv379+P9+/eoqqrC/v37YWpqKjAAwYcQgvPnz6OkpAS9evVqNO709HTcvXsXCxcuhJiY4E9Pw5mkFStWwM/PD+np6TAyMoK7uzurc9mQgoICnDp1CjExMYiJiUFCQgI2bdrE+G/cuBEHDx7E7t27cffuXcyfPx+TJk1CQkICAODHH39EZmYmzp07h6ysLPz6669QV1cHUPfsuVwuFBQUkJiYiKSkJGbgprGZrPLycpw/fx5z586FnJxcs/ldu3Ytxo4di4yMDAwePBgTJ05kZjtqa2vRsWNHnDhxApmZmVi1ahWWL1+O48ePA6hboj527FhmIKm0tBS2traNllVjuLq6oqKiAleuXAFQZ+BUVFQIGAYvXrzAd999B2tra6SlpeH8+fN4/Pgxxo4dy8iIWq9b+pyF0VjZaWtro7S0FIqKiti2bRtKS0sxbtw4kfQH6t47UlJSSEpKwu7du1sUrrH3VW1tLQYNGoSkpCQcPnwYmZmZ2LRpE8TFxQHU1WMXFxeMGjUKGRkZOHbsGK5cuYJ58+a1qEyao6CgAOfOncP58+dx9OhR7N+/H0OGDMGDBw+QkJCA//3vf1i5ciVSUlKYMGPGjGEGym7cuIFu3bphwIABrFm5hly5cgU2NjbM/cePH+Hm5gYHBwdkZGQgOTkZM2bMAIfDAQAkJiZiypQp+OGHH5CZmYng4GCEhYUxRm5z5Xfjxg2MHTsW48ePx507d7BmzRr8+OOPAkugg4KCGINxzpw5mD17NjOIWllZiaFDh8LMzAw3btzAmjVrWL+jQNPvCz49e/ZEYmJiC58MhfKVQyiUr4iqqiqSmZlJqqqqBPwCxw5p9IrcuJoQQkhZQV6TcvyrrCCPiXeXp7tQmZZw48YNAoAUFRUJ9Z86dSrR1dUlHz9+ZNzGjBlDxo0bRwghpLi4mIiLi5OHDx+ywg0YMIAsW7aMEEJIaGgoAUDy8/P/0n3XLtKuXTuB9Gpra8mIESNI9+7dydu3bwkhhFy6dIkAIBcvXmTkzpw5QwAw5b169WrStWvXJvParVs3snnzZkIIIW5ubsTf359ISUmR169fkwcPHhAAJDc3t9HwQ4YMIQsXLmTuHRwcSN++fVkyPXr0IEuWLCGEEHLu3DkiISFBSktLGf+4uDgCgJw8eZJxS0pKIm3btiU1NTVMeSkpKTWqh4ODA/nhhx8a9U9NTSUAyOvXrwkhwstv48aNBAApKChg3GbOnEm4XG6j8T59+pQAIHfu3GG5L168mMjKyhIApHfv3uTZs2eNxlEfvl4VFRUiyd+5c4cYGBgQMTExIiYmRoyNjVn1lh+fnJwckZOTIxISEkRMTIxs2LChyXiPHTtGAJCbN282KVdYWEgAkH379jFud+/eJQBIVlYWIUTw2a1evZrIysqSV69eMW6LFi0ivXr1IoQQ8u7dOyIrK0uuXr3KSsvT05O4u7sTQggZNmwYmT59ulCdDh06RIyNjUltbS3jVl1dTWRkZEhsbKzQMCkpKQQAiYqKajK/hBACgKxcuZK5r6ysJADIuXPnGg0zd+5cMmrUKOZ+6tSpZPjw4c2mJaxe88v81q1bxNfXlymH6dOnk/nz55Nbt24RAKSwsJAQQsj69evJwIEDWXHcv3+fACA5OTlC021Yr0V5zsLQ1dUlW7duZe5FKTslJSUSGhrK3Iuiv4ODA7G2tmbJiBquqfdVbGwsERMTa7ScPD09yYwZM1huiYmJRExMTOjvXn3qP8f6iNJeuFwu0dPTY96PhBBibGxMNm7cyOigqKhI3r17x4rbwMCABAcHC9WnoqKCACCXL19m3J4/f04AEB6PJzTMgAEDSEBAAMvt0KFDREtLixDSfPlNmDCBODs7s9wWLVpEzMzMmHtdXV0yadIk5r62tpa0bduW/Prrr4QQQoKDg4mamhqrvH/99VdW2Tb1vuAzf/584ujoKODe8LfpS9NUP4lC+bthb7CgUL5ifA781qgf5/9nSGQUFSEuKcnsreRwOCCEMH8BQFxSEjKKikxY750hn61b165dMWDAAFhYWIDL5WLgwIEYPXo0VFRUGBlzc3Nm1BUAtLS0cOfOHQDAnTt3UFNTAyMjI1a81dXVrD2PsrKyMDAwYMVRf7kmn+XLlyM5ORlpaWmQkZFh+VlaWrLCA8CTJ0+go6PDkktMTMSgQYOY++DgYEycOBEODg7g8XhYuHAhEhMTsXHjRhw/fhxXrlxBeXk52rdvD0NDQwB1s40BAQE4fvw4Hj58iPfv36O6uhqysrKN6tQwXzk5OdDW1mbtXenZs6dAnqOjozF06FChs2WiwB+5vn37NioqKpiZl5KSEpiZmQnVtV27dpCVlUWnTp1YbvVnZPPy8rBq1SqkpKTg2bNnrHj5h6sAwKJFi+Dp6Yni4mKsXbsWU6ZMQUxMDDPS31IGDRrEjKbr6uri7t27qKqqgqenJ+zs7HD06FHU1NQgMDAQQ4YMQWpqKquuJCYmQkFBAdXV1bh+/TrmzZsHVVVVzJ49G+Hh4Zg5cyYje+7cOdbsvCg0Vg9NTEyEyuvp6UFBQYEVhl9H8vPz8fbtWzg7O7PCvH//HtbW1gCA2bNnY9SoUbh58yYGDhwINzc3Ztbv9u3byM/PZ8UP1M24FxQUCG0LLd3HWz+/cnJyUFRUZLXdXbt2ISQkBCUlJaiqqsL79+//lhOaPTw8YGtri4CAAJw4cQLJyckCM4i3b9/GpUuXIC8vLxC+oKAARkZGItfrlj5nYTRXdg0RRX8A6N69+yeFa+p9lZ6ejo4dOwq8y+unkZGRgfDwcMaNEILa2loUFhbC1NS00Xy1hIbtpV27dhAXF2e9H9u1a8foffv2bVRWVgrssa+qqhJYul/fDwCkpaUZN1VVVUybNg1cLhfOzs5wcnLC2LFjmWd/+/ZtJCUlsZbh1tTU4N27d3j79m2z5ZeVlSWwKsXOzg7btm1DTU0N8xtb/xlxOBxoamoyec3KyoKlpSVL7z59+rDibOp9wUdGRoa17YFC+RaghiXlP4NkvR+BxlBUbwuPbcGoevUK5Q/v4+zOur0XhBAMnrcQqh20IaOoCEX1vw46ECXe5hAXF0dcXByuXr3KLIVcsWIFUlJSoK+vX5dOg2WNHA6H6YxVVlZCXFwcN27cYBmfAFidHGFxNOzQHz58GFu3bgWPxxN6KEf9OPhGi7BlmTY2Nqyj19u1awegbo9RSEgIbt++DUlJSZiYmMDR0RE8Hg8VFRVwcHBgwmzevBnbt2/Htm3bYGFhATk5Ofj6+gosL2yqbETl9OnTrKWRLeHNmzfgcrngcrkIDw+HhoYGSkpKwOVym9SVw+E0q/uwYcOgq6uLvXv3on379qitrUWXLl0E4lVXV4e6ujqMjIxgamoKbW1tXLt2TaDDIyr79u1jOn58HY8cOYKioiIkJyczHcwjR45ARUUF0dHRGD9+PBNeX1+fWc5pbm6OlJQU+Pv7Y/bs2XB1dWUti+3QoQOys7MB1O3j5BtzTSFqPRQmzw9Tv/0AwJkzZwTqfJs2bQDUGdrFxcU4e/Ys4uLiMGDAAMydOxeBgYGorKxE9+7dWZ19PhoaGpCSkhJoCx8+fACHw2Hy3ZL8NtQ/IiICfn5+CAoKQp8+faCgoIDNmzezlil+KSwsLGBiYgJ3d3eYmpqiS5cuAp9YqKysxLBhw/C///1PIDzfQBC1Xrf0OQujpe8HUfQHILCEWdRwTenTcCBPmG4zZ86Ej4+PgF/Dwb3PQZiOzbUhLS0toXt3GzsQSU1NDRwOBxUVFSz30NBQ+Pj44Pz58zh27BhWrlyJuLg49O7dG5WVlVi7di1GjhwpEJ+0tHSz5Scqn/ub0tT7gk95eTmz75VC+VaghiXlm0NRvS3LcOSj2kEb7Tr9faeFcjgc2NnZwc7ODqtWrYKuri5OnjyJBQsWNBvW2toaNTU1ePLkCezt7T9Zh+TkZHh5eSE4OLhFh7oIQ0ZGRuisDH+f5datWxkj0tHREZs2bUJFRQXr9M+kpCQMHz6cOcyntrYWubm5rBnA5jA2Nsb9+/fx+PFjxrhNTU1lyeTl5aG4uFhgxkpUsrOz8fz5c2zatAna2toA0KLPYzTG8+fPkZOTg7179zLPlb+/rSn4HaDq6upPTlvYoMLbt28hJibGmgXl3zfX6RIXF2cMVQUFBYHZPSsrK5iZmSEoKAjjxo0TmDl+8eLF3/b5FzMzM7Rp0wYlJSWsgY2GaGhoYOrUqZg6dSrs7e2xaNEiBAYGolu3bjh27Bjatm0LxXqrGeojrC1wuVzs2rULPj4+AkZKS/KblJQEW1tbzJkzh3FrOEskJSXFHJr1uXh4eGDOnDn49ddfhfp369YNkZGR0NPTEzhZFvj0ev1P0Zz+XzpcfSwtLfHgwQPk5uYKnXXr1q0bMjMz/3UnV3fr1g1lZWWQkJBodL91Q6SkpGBmZobMzEyB71haW1vD2toay5YtQ58+fXDkyBH07t0b3bp1Q05OTqP5b678TE1NkZSUxHJLSkqCkZGRwKBsY5iamuLQoUN49+4dM2vZ8LAtoPH3BZ8///yTOU+AQvlWoIf3UL5Z+MtiAcHlr1+alJQUBAQEIC0tDSUlJYiKisLTp09FXtZkZGSEiRMnYsqUKYiKikJhYSGuX7+OjRs34syZMyLFUVZWhhEjRmD8+PHgcrkoKytDWVkZnj59+jlZE0BFRQWWlpYIDw9nflT79euHmzdvIjc3l9WxNzQ0ZGZys7KyMHPmTDx+/LhF6Tk7O8PAwABTp05FRkYGkpKSsHLlSgB/zYBER0fDyclJYIltTU0N0tPTWVdWVpZAGjo6OpCSksKOHTtw7949nD59GuvXr2+RnsJQUVGBmpoa9uzZg/z8fPzxxx8CAw0pKSnYuXMn0tPTUVxcjD/++APu7u4wMDBgZisfPnwIExMT1hLbsrIypKenIz8/H0Ddcur09PQmD9pwdnZGRUUF5s6di6ysLNy9exfTp0+HhIQE+vfvz5J98uQJysrKUFxcjBMnTuDQoUNNHozE4XAQGhqK3Nxc2Nvb4+zZs7h37x4yMjLg7+//yYcqiYKCggL8/Pwwf/58HDhwAAUFBbh58yZ27NiBAwcOAABWrVqF6Oho5Ofn4+7du4iJiWHa58SJE6Guro7hw4cjMTERhYWF4PF48PHxEfgIen127dqFmpoa9OzZE5GRkcjLy0NWVhZ+/vnnFs00GxoaIi0tDbGxscjNzcWPP/4oMHiip6eHjIwM5OTk4NmzZ02eGNwc3t7eePr0Kby8vIT6z507F+Xl5XB3d0dqaioKCgoQGxuL6dOno6amRqR63Zo0p/+XDlcfBwcH9OvXD6NGjUJcXBwKCwuZQ3QAYMmSJbh69SrmzZuH9PR05OXlITo6+osf3tNSnJyc0KdPH7i5ueHChQsoKirC1atXsWLFiiYH2bhcLmtQobCwEMuWLUNycjKKi4tx4cIF5OXlMW1t1apVOHjwINauXYu7d+8iKysLERERzDu9ufJbuHAh4uPjsX79euTm5uLAgQPYuXOnwOE7TTFhwgRwOBx4e3sjMzMTZ8+eZRmMfD0be18AdYN0N27cEDCoKZT/OtSwpHyz8JfFTtq4DR7bgoXOYn6xtBQVcfnyZQwePBhGRkZYuXIlgoKCWPuymiM0NBRTpkzBwoULYWxsDDc3N6Smpoq8PCo7OxuPHz/GgQMHoKWlxVw9evT41Gw1ioODA2pqahjDUlVVFWZmZtDU1ISxsTEjt3LlSnTr1g1cLheOjo7Q1NQU+SPvfMTFxXHq1ClUVlaiR48e8PLyYk6F5Y82N/aZkcrKSmbknH81PAETqBuZDgsLw4kTJ2BmZoZNmzYJdDQ+BTExMURERODGjRvo0qUL5s+fj82bN7NkZGVlERUVhQEDBsDY2Bienp6wtLREQkICs4zzw4cPyMnJYe3n2b17N6ytreHt7Q2gzri3trZmfcaiISYmJvj999+RkZGBPn36wN7eHo8ePcL58+dZS/2AupliLS0tdO7cGUuWLMHMmTNZp90Ko2fPnkhLS0Pnzp3h7e0NU1NTuLq64u7duy3+6H1LWb9+PX788Uds3LgRpqamcHFxwZkzZ5il6FJSUli2bBksLS3Rr18/iIuLIyIiAkDdM7h8+TJ0dHQwcuRImJqawtPTE+/evWt0BhMAOnXqhJs3b6J///5YuHAhunTpAmdnZ8THxzc6GyiMmTNnYuTIkRg3bhx69eqF58+fs2YvgTpj0NjYGDY2NtDQ0BCYtWkJEhISUFdXb3RWrn379khKSkJNTQ0GDhwICwsL+Pr6QllZGWJiYiLV69akOf2/dLiGREZGokePHnB3d4eZmRkWL17MGKb8ts0fgLG2tsaqVavQvn37z87358DhcHD27Fn069cP06dPh5GREcaPH4/i4mJmpYgwPD09cfbsWbx8+RJAXVvKzs5mPr8zY8YMzJ07l9mTzeVyERMTgwsXLqBHjx7o3bs3tm7dCl1dXSbOpsqvW7duOH78OCIiItClSxesWrUK69atE3qCd2PIy8vj999/x507d2BtbY0VK1YILH9u6n0B1P3m6OjofNYKIwrla4RDWnqiAoXSirx79w6FhYXQ19dnbaynUOqTlJSEvn37Ij8/H0pKStDS0sKDBw+a7ABRKN8Cjo6OsLKy+tsNeQqFz5gxY9CtWzcsW7astVX5x+jduzd8fHwwYcIEAT8Oh4OTJ0+2eBBVVGg/idKa0BlLCoXy1XPy5EnExcWhqKgIFy9exIwZM2BnZwcDAwOUl5djy5Yt1KikUP6fX375BfLy8syp0xTK38nmzZuFnqT7X+XZs2cYOXIk3N3dWe6zZs36psqB8m1CZywpXxV0JI4ijIMHD2LDhg0oKSmBuro6nJycEBQUJHA0PoXyrfPw4UPmkCX+3mEKhfL38+TJE7x69QpA3SnCDQ/0+lLQfhKlNaGGJeWrgr4wKRQKhUKhUIRD+0mU1oQuhaVQKBQKhUKhUCgUymdBDUsKhUKhUCgUCoVCoXwW1LCkUCgUCoVCoVAoFMpnQQ1LCoVCoVAoFAqFQqF8FtSwpFAoFAqFQqFQKBTKZ0ENS8o3TV7aY4QuvoL8G09aVY9p06b9bR9LFhUejwcOh4MXL140KrNmzRpYWVn9Yzq1Jo6OjvD19W1tNShCEKUe/peeX1hYGJSVlf+RtIqKisDhcMDhcL6Ztt4Qfv7/qTKnUCiU/wrUsKR8s7x99R688Jz//5uNt6/et7ZK/3r8/PwQHx/f2mp8MlVVVZCTk0N+fv4/2ln/XFxdXaGjowNpaWloaWlh8uTJePToUZNh9uzZA0dHRygqKjY7YMAnLCyM6VQ3vJ48+WvwhcfjoVu3bmjTpg06d+6MsLAwVjzTpk1jhVVTU4OLiwsyMjJEym9kZCQcHR2hpKQEeXl5WFpaYt26dSgvLxcpPABERUVh/fr1Isu3JpcuXcLgwYOhpqYGWVlZmJmZYeHChXj48OEXTYfD4eDUqVMiyV68eJHV1tesWQMOhwMXFxcB2c2bN4PD4cDR0VFAvuFlYmLCMl4bu8LCwpjBLmFXWVkZk1Z5eTl8fX2hq6sLKSkptG/fHh4eHigpKWHpWb9eSkpKQl9fH4sXL8a7d+9YcqWlpdi2bZtI5UShUCiUv6CGJeWbhBCChCPZ+FD9EQDw/t1HJBzNaWWt/v3Iy8tDTU2ttdX4ZOLi4qCrq4vOnTu3tioton///jh+/DhycnIQGRmJgoICjB49uskwb9++hYuLC5YvXy5yOuPGjUNpaSnr4nK5cHBwQNu2bQEAhYWFGDJkCPr374/09HT4+vrCy8sLsbGxrLhcXFyYOOLj4yEhIYGhQ4c2q8OKFSswbtw49OjRA+fOncOff/6JoKAg3L59G4cOHRI5L6qqqlBQUBBZvrUIDg6Gk5MTNDU1ERkZiczMTOzevRsvX75EUFBQq+mlpqYm0Na1tLRw6dIlPHjwgOUeEhICHR0dgTjMzc0F6tOVK1egra3Nclu4cKGA7Lhx45h4cnJyBOLh18fy8nL07t0bFy9exO7du5Gfn4+IiAjk5+ejR48euHfvHksnfr28d+8etm7diuDgYKxevZolo6mpCSUlpc8qPwqFQvkWoYYl5Zsk/8YT3Et/BlJbd09qgXu3niIv7fHfluZvv/0GCwsLyMjIQE1NDU5OTnjz5g1LJjAwEFpaWlBTU8PcuXPx4cMHxq+6uhp+fn7o0KED5OTk0KtXL/B4PMafPwMXGxsLU1NTyMvLM50oPsJG/vX09Fg63LhxAzY2NpCVlYWtrS1ycv4yuJtbghgTEwNlZWXU1NQAANLT08HhcLB06VJGxsvLC5MmTQIAPH/+HO7u7ujQoQNkZWVhYWGBo0ePsuJ0dHSEj48PFi9eDFVVVWhqamLNmjUsmezsbPTt2xfS0tIwMzPDxYsXhc7OREdHw9XVtVH9m+LQoUOwsbGBgoICNDU1MWHCBIFZPA6Hg9jYWFhbW0NGRgbfffcdnjx5gnPnzsHU1BSKioqYMGEC3r59y4Q7f/48+vbtC2VlZaipqWHo0KEoKChgpT1//nz07t0burq6sLW1xdKlS3Ht2jVW/WiIr68vli5dit69e4ucRxkZGWhqajKXuLg4/vjjD3h6ejIyu3fvhr6+PoKCgmBqaop58+Zh9OjR2Lp1KyuuNm3aMPFYWVlh6dKluH//Pp4+fdpo+tevX0dAQACCgoKwefNm2NraQk9PD87OzoiMjMTUqVNZ8ocOHYKenh6UlJQwfvx4vH79mvFruBRWT08PAQEB8PDwgIKCAnR0dLBnzx5WfPfv38fYsWOhrKwMVVVVDB8+HEVFRYw/j8dDz549IScnB2VlZdjZ2aG4uJjxj46ORrdu3SAtLY1OnTph7dq1+PjxY6P5ffDgAXx8fODj44OQkBA4OjpCT08P/fr1w759+7Bq1SqWfFNtOzU1Fc7OzlBXV4eSkhIcHBxw8+ZNVv4BYMSIEULbvSi0bdsWAwcOxIEDBxi3q1ev4tmzZxgyZIiAvISEBKs+aWpqQl1dHeLi4iw3eXl5AVkZGRlWug3jEROr676sWLECjx49wsWLFzFo0CDo6OigX79+iI2NhaSkJObOncvSiV8vtbW14ebmBicnJ8TFxbW4LCgUCoUiCDUsKV89hBB8qK4R+Xr1rAq88GyhcfHCc/DqWZXIcRFCRNKxtLQU7u7u8PDwQFZWFng8HkaOHMkKf+nSJRQUFODSpUs4cOAAwsLCWEsM582bh+TkZERERCAjIwNjxoyBi4sL8vLyGJm3b98iMDAQhw4dwuXLl1FSUgI/Pz+WHvwrPz8fnTt3Rr9+/Vi6rlixAkFBQUhLS4OEhAQ8PDxEyiMA2Nvb4/Xr17h16xYAICEhAerq6iwDOCEhgVky9+7dO3Tv3h1nzpzBn3/+iRkzZmDy5Mm4fv06K94DBw5ATk4OKSkp+Omnn7Bu3TqmM1hTUwM3NzfIysoiJSUFe/bswYoVKwR0q62tRUxMDIYPHy5yfurz4cMHrF+/Hrdv38apU6dQVFSEadOmCcitWbMGO3fuxNWrVxlDZdu2bThy5AjOnDmDCxcuYMeOHYz8mzdvsGDBAqSlpSE+Ph5iYmIYMWIEamtrhepRXl6O8PBw2NraQlJS8pPyIioHDx6ErKwsa3Y0OTkZTk5OLDkul4vk5ORG46msrMThw4fRuXPnJme8w8PDIS8vjzlz5gj1r790uaCgAKdOnUJMTAxiYmKQkJCATZs2NZmfoKAg2NjY4NatW5gzZw5mz57NDJx8+PABXC4XCgoKSExMRFJSEmPAvX//Hh8/foSbmxscHByQkZGB5ORkzJgxAxwOBwCQmJiIKVOm4IcffkBmZiaCg4MRFhYGf3//RvU5ceIE3r9/j8WLFzeb3+ba9uvXrzF16lRcuXIF165dg6GhIQYPHswY26mpqQCA0NBQlJaWMvctxcPDg/VeCgkJwcSJEyElJfVJ8X0OtbW1iIiIwMSJE6Gpqcnyk5GRwZw5cxAbG9voEuo///wTV69ebRXdKRQK5b+IRGsrQKF8Lh/f12LPDwlfJK73VR9xaGXjHeSGzNjuAMk24s3KlZaW4uPHjxg5ciR0dXUBABYWFiwZFRUV7Ny5E+Li4jAxMcGQIUMQHx8Pb29vlJSUIDQ0FCUlJWjfvj2Auv2O58+fR2hoKAICAgDUdY53794NAwMDAHXG6Lp165g0+J0vQghGjRoFJSUlBAcHs/Tw9/eHg4MDAGDp0qUYMmQI3r17B2lp6WbzqaSkBCsrK/B4PNjY2IDH42H+/PlYu3YtKisr8fLlS+Tn5zPxd+jQgdU5/v777xEbG4vjx4+jZ8+ejLulpSWzXM3Q0BA7d+5EfHw8nJ2dERcXh4KCAvB4PCZ//v7+cHZ2Zul27do1AECvXr2azYcw6hvYnTp1ws8//4wePXqgsrIS8vLyjN+GDRtgZ2cHAPD09MSyZctQUFCATp06AQBGjx6NS5cuYcmSJQCAUaNGsdIJCQmBhoYGMjMz0aVLF8Z9yZIl2LlzJ96+fYvevXsjJibmk/LREvbv348JEyawZo/KysrQrl07lly7du3w6tUrVFVVMbIxMTFMubx58wZaWlqIiYlhZpqEkZeXh06dOolkMNfW1iIsLIxZ7jp58mTEx8c3acgNHjyYMVqXLFmCrVu34tKlSzA2NsaxY8dQW1uLffv2McZiaGgolJWVmfr88uVLDB06lGlfpqamTNxr167F0qVLmVnVTp06Yf369Vi8eLHAUsv6+VVUVISWllaz+W2ubX/33Xcs+T179kBZWRkJCQkYOnQoNDQ0/q+9O4+rKf//AP66beq2aZFbtFJJKiVLQhnMLcNYZpix1pSdb7IbsmQfJjGWsURhMpax9WUsidImoaxJpWQpGmIK0fL5/dHvnm/HvdVNaIz38/G4D+45n/M573PuPbfzPp/P+RwAlcnq20lYXfTp0wfjxo3DuXPn0K5dO+zbtw9xcXHYvn27VNlr167xjg0AGD58ODZt2lSndTZv3pz33tTUFDdu3EBBQQGePXvG+xyqsrGxAWMMmZmZ3O+J5HtZVlaG169fQ0FBAevXr69TPIQQQmSjFktCPgIHBwf06NEDdnZ2GDRoELZu3YrCwkJeGVtbWygq/i9JNTQ05LpaXrt2DeXl5bCysoKGhgb3iomJ4XWbFAqF3Inn23VUNWfOHCQmJuLIkSO8pAGoTOKqLg9AZh2xsbG8WMLDwwEAbm5uiI6OBmMMsbGxGDhwIGxsbBAXF4eYmBgYGRnB0tISQGVr4+LFi2FnZwddXV1oaGjg5MmTUoNuVI3p7e1KT0+HsbEx72S5alIqceTIEfTp06fGxKYmly5dQt++fWFiYgJNTU0uOa4p1qZNm0IoFHJJpWRa1f2ZkZGBIUOGwMLCAlpaWlwXxbfrnTFjBlJSUnDq1CkoKipi5MiRcreYy+Lp6cl9dra2tlLzExMTkZaWxusGWxeSezBTU1Nx4cIFiMVieHp6cl1HZa2/LttjZmbGu4eyuu96VVU/G4FAAJFIxC1z5coVZGZmQlNTk4tLV1cXJSUlyMrKgq6uLry9vSEWi9G3b1+sXbuW1xX1ypUrWLRoEe+YGD16NPLy8vDy5UuMGzeON0+yvZIktja1HduPHj3C6NGjYWlpCW1tbWhpaaG4uFjqe1RfysrKGD58OEJDQ7F//35YWVlJHZ8S1tbW3HdA8qqaDMsrNjaWV8eff/7Jm1+X743ke5mUlAQvLy/88MMPUhd3CCGEvBtqsSSfPCUVBYxZ6yZXWcYYIrffwN3rT7j7K6sSKABmdvro5SN9ol3duuWhqKiIyMhIJCQkcF0h586di6SkJJibmwOAVCuNQCDgukMWFxdDUVERly5d4iWfAHgtArLqePuk67fffkNwcDCio6PRrFkzqVir1iE56ZXVLdPZ2Rmpqance0krlru7O7Zv344rV65AWVkZrVq1gru7O6Kjo1FYWMglZEDlaJJr167FmjVrYGdnB3V1dfj7++PNG/4IvTXtG3lFRETU2lWyOi9evIBYLIZYLEZ4eDiaNGmC3NxciMXiGmOVjD5ZU+x9+/aFqakptm7dCiMjI1RUVKBNmzZS9err60NfXx9WVlawsbGBsbExzp8/DxcXl3fappCQELx69Uoq5qrz27Zti3bt2vGmi0QiPHrEvxf50aNH0NLS4l2kUFdX5w2SFBISAm1tbWzduhVLliyRuX4rKyvExcWhtLS01lbLd/lO1HaMtWvXjrtAUpWktS80NBR+fn44ceIE9u7di4CAAERGRqJTp04oLi5GYGAgBg4cKLW8qqoqFi1axGudl2zv8+fPkZeXV2urZW3HtpeXF548eYK1a9fC1NQUjRo1gouLi9T36H3w8fFBx44dcf369Rq7yquoqLyXgbLMzc1ljuDcpEkTNG7cGGlpaTKXS0tLg0Ag4MVQ9Xu5fft2ODg4YNu2be98AYUQQsj/UIsl+eQJBAIoN1KU66WiqoTuw22g3Ej2NRUVVSW4D2sld33ytjZI4nR1dUVgYCBSUlKgoqKCQ4cOybWso6MjysvL8fjxY7Rs2ZL3qku3tsTERIwaNQqbN2+u06AusqipqfHikLQeSe6zDA4O5pJISWIZHR3NeyRBfHw8+vXrh+HDh8PBwQEWFha4fft2neKwtrbGvXv3eMnO2/ePZWRk4O7du1LdY+V169YtPHnyBCtWrEDXrl3RqlWrWlvH5PHkyROkp6cjICAAPXr0gI2NjVRLtiySZOj169fvvO5mzZpxn52ke7ZEcXEx9u3bJ/Nk28XFReqRM5GRkbUmuAKBAAoKClwyKWv9Q4cORXFxMTZu3CizDnkemfKunJyckJGRAQMDA6ljrOoIoY6Ojvjxxx+RkJCANm3aYPfu3dzy6enpUsu2bNkSCgoKUvUCld2iVVRUsHLlynpvb3x8PPz8/NC7d2/Y2tqiUaNG+Ouvv3hllJWVuYG16sPW1ha2tra4fv06hg4dWu/63pWCggIGDx6M3bt38x4/AlQ+Wmjjxo0Qi8XQ1dWtdvk5c+YgICCA+14SQgh5d5RYks+OUEsF7sOsZc5zG2oNodb7H8ghKSkJy5Ytw8WLF5Gbm4uDBw+ioKCg2nuD3mZlZYVhw4Zh5MiROHjwILKzs3HhwgUsX74cx44dk6uO/Px8DBgwAN9//z3EYjHy8/ORn59f4yid70JHRwf29vYIDw/nkshu3brh8uXLuH37Nq/F0tLSkmvJTUtLw9ixY6Vaw2rTq1cvtGjRAl5eXrh69Sri4+MREBAA4H8trkeOHEHPnj0hFAp5y5aXl0t11ZPV+mFiYgIVFRWsW7cOd+7cQURExHt5RqKOjg709PSwZcsWZGZm4syZM5g6dSqvTFJSEtavX4/U1FTcvXsXZ86cwZAhQ9CiRQsumXvw4AFatWrFG/QoPz8fqampyMzMBFDZnTo1NVWuZ0Hu3bsXZWVl3Oi9VY0bNw537tzBzJkzcevWLWzcuBH79u3DlClTeOVev37NfcfS0tLwn//8B8XFxejbt2+16+3YsSNmzpyJadOmYebMmUhMTMTdu3cRFRWFQYMG8UYjfd+GDRsGfX199OvXD7GxscjOzkZ0dDT8/Pxw//59ZGdn48cff+RiOnXqFDIyMrhjeP78+di5cycCAwNx48YNpKWlYc+ePdx3URZjY2MEBwdj7dq18PX1RUxMDO7evYv4+HiMHTu2Tt8xS0tL7Nq1C2lpaUhKSsKwYcOkurmbmZkhKioK+fn5cl3AqMmZM2eQl5dX47Ngy8rKuO+A5FXX4xuo7Ir/dj2SEZGXLVsGkUiEXr164fjx47h37x7OnTsHsViM0tJSbNiwoca6Bw0aBEVFxVrLEUIIqR0lluSz1LKdASza6kPw/0eAQAGwcGwCS+emNS/4jrS0tHDu3Dn07t0bVlZWCAgIQFBQEDw9PeWuIzQ0FCNHjsS0adNgbW2N/v37Izk5Webz42S5desWHj16hB07dsDQ0JB7tW/f/l03q1pubm4oLy/nEktdXV20bt0aIpEI1tb/S+oDAgLg5OQEsVgMd3d3iEQi9O/fv07rUlRUxOHDh1FcXIz27dtj1KhR3KiwkgGHqnvMSHFxMRwdHXkvWYlPkyZNEBYWhv3796N169ZYsWIFfv755zrFKYuCggL27NmDS5cuoU2bNpgyZQpWrVrFKyMUCnHw4EH06NED1tbW8PX1hb29PWJiYtCoUSMAlQO7pKen8x5jsmnTJjg6OmL06NEAKpN7R0dHRERE1BrXtm3bMHDgQJlJg7m5OY4dO4bIyEg4ODggKCgIISEhEIvFvHInTpzgvmMdO3ZEcnIy9u/fz2uxluWnn37C7t27kZSUBLFYDFtbW0ydOhX29vZSjxt5n4RCIc6dOwcTExPuvmBfX1+UlJRAS0sLQqEQt27dwjfffAMrKyuMGTMGEydOxNixYwFUjox79OhRnDp1Cu3bt0enTp0QHBws1Rr8tgkTJuDUqVN48OABBgwYgFatWmHUqFHQ0tKS6jpbk23btqGwsBBOTk4YMWIE/Pz8uGc9SgQFBSEyMhLGxsZwdHSs+06qQvLIlZrcuHGD91tjaGhY6/6QxdraWqqeS5cuAah83ub58+fRvXt3jB07Fi1atMDgwYPRokULJCcn8+5vlkVJSQmTJk3CypUrpR7/RAghpG4ErD6jPxDykZWUlCA7Oxvm5uZyjVJak5d/v0H4gvN486oMjYRKGLqw0wdprSQfX3x8PLp06YLMzExoa2vD0NAQ9+/flxrNlBDCl5OTA3Nzc6SkpNT4zNp/u7CwMPj7+3/Q7teEfAjv8zyJkLqiwXvIZ0vSJTZuXwa6fmdFSeUn7NChQ9DQ0IClpSUyMzMxefJkuLq6okWLFrh9+zZWr15NSSUhddC5c2e0bdsWCQkJDR3KRyd5HAmdlBNCSN1QYkk+a5bOTT9Y91fy8RQVFWHWrFnIzc2Fvr4+evbsiaCgIACV96daWVk1cISEfBqaN2+OjIwMAOC6Wn9uJKNdvz0CNyGEkJpRV1jySaEuHoQQQgghstF5EmlINHgPIYQQQgghhJB6ocSSEEIIIYQQQki9UGJJCCGEEEIIIaReKLEkhBBCCCGEEFIvlFgSQgghhBBCCKkXSiwJIYQQQgghhNQLJZbks5Zx8RFCZ8Yh89LjBo3D29sb/fv3b9AYoqOjIRAI8OzZs2rLLFy4EG3btv1oMTUkd3d3+Pv7N3QYRAZ5vof/ps8vLCwMjRs3/ijrysnJgUAggEAg+GyOdaDyO9W0aVMIBAIcPny4ocP56Br6eOnWrRt2797dYOt/H+ry93HTpk3o27ev1HTJsfexjndC3jdKLMln6+XfbxAdnv7//97Cy7/fNHRI/3jTp09HVFRUQ4fxzl69egV1dXVkZmZ+1JP1+vr6669hYmICVVVVGBoaYsSIEXj48GGNy2zZsgXu7u7Q0tKq9YKBRFhYGHdi8/br8eP/XXyJjo6Gk5MTGjVqhJYtWyIsLIxXj7e3N29ZPT09eHh44OrVq3Jt74EDB+Du7g5tbW1oaGjA3t4eixYtwtOnT+VaHgAOHjyIxYsXy12+IZ09exa9e/eGnp4ehEIhWrdujWnTpuHBgwfvdT11SZpOnz7NO9YXLlwIgUAADw8PqbKrVq2CQCCAu7v7e4r03clzgextaWlpCAwMxObNm5GXlwdPT88PF+BHVvVCQXWvsLCwBj1eIiIi8OjRI3z//fcNsv6G4OPjg8uXLyM2NpY3PS8vD2vWrGmYoAh5DyixJJ8lxhhidt9C6esyAMCbkjLE/J7ewFH982loaEBPT6+hw3hnkZGRMDU1RcuWLRs6lDrp3r079u3bh/T0dBw4cABZWVn49ttva1zm5cuX8PDwwJw5c+Rez3fffYe8vDzeSywWw83NDQYGBgCA7OxsfPXVV+jevTtSU1Ph7++PUaNG4eTJk7y6PDw8uDqioqKgpKSEPn361BrD3Llz8d1336F9+/Y4fvw4rl+/jqCgIFy5cgW7du2Se1t0dXWhqakpd/mGsnnzZvTs2RMikQgHDhzAzZs3sWnTJjx//hxBQUENFpeenp7UsW5oaIizZ8/i/v37vOnbt2+HiYnJxwzvvcrKygIA9OvXDyKRCI0aNXqnekpLS99nWO+FsbEx73ieNm0abG1tedO+++67Bj1efvnlF/zwww9QUPh8TklVVFQwdOhQ/PLLL7zpIpEI2traDRQVIfX3+RzFhFSReekx7qT+BVZR+Z5VAHdSCpBx8dEHW+cff/wBOzs7qKmpQU9PDz179sSLFy94ZX7++WcYGhpCT08PEydO5J2ovH79GtOnT0ezZs2grq6Ojh07Ijo6mpsvaYE7efIkbGxsoKGhwZ3cS8i6Wm1mZsaL4dKlS3B2doZQKETnzp2Rnv6/hLu2rj5Hjx5F48aNUV5eDgBITU2FQCDA7NmzuTKjRo3C8OHDAQBPnjzBkCFD0KxZMwiFQtjZ2eH333/n1enu7g4/Pz/MnDkTurq6EIlEWLhwIa/MrVu30KVLF6iqqqJ169Y4ffq0zNaZI0eO4Ouvv642/prs2rULzs7O0NTUhEgkwtChQ6Va8QQCAU6ePAlHR0eoqanhiy++wOPHj3H8+HHY2NhAS0sLQ4cOxcuXL7nlTpw4gS5duqBx48bQ09NDnz59uBNdiSlTpqBTp04wNTVF586dMXv2bJw/f77GE1l/f3/Mnj0bnTp1knsb1dTUIBKJuJeioiLOnDkDX19frsymTZtgbm6OoKAg2NjYYNKkSfj2228RHBzMq6tRo0ZcPW3btsXs2bNx7949FBQUVLv+CxcuYNmyZQgKCsKqVavQuXNnmJmZoVevXjhw4AC8vLx45Xft2gUzMzNoa2vj+++/R1FRETfv7a59ZmZmWLZsGXx8fKCpqQkTExNs2bKFV9+9e/cwePBgNG7cGLq6uujXrx9ycnK4+dHR0ejQoQPU1dXRuHFjuLq64u7du9z8I0eOwMnJCaqqqrCwsEBgYCDKysqq3d779+/Dz88Pfn5+2L59O9zd3WFmZoZu3bohJCQE8+fP55Wv6dhOTk5Gr169oK+vD21tbbi5ueHy5cu87QeAAQMGyDzu5WFgYIAvv/wSO3bs4KYlJCTgr7/+wldffSVVPiQkBDY2NlBVVUWrVq2wceNG3vxZs2bBysoKQqEQFhYWmDdvHu87Lfm9qelzrk1tv4sLFy7kuiQqKChAIBDIFb+kJXDv3r1wc3ODqqoqwsPD5V7u4MGD6N69O4RCIRwcHJCYmMiLOz4+Hu7u7hAKhdDR0YFYLEZhYSEAoKKiAsuXL4e5uTnU1NTg4OCAP/74Q+b2Kyoq8o5pDQ0NKCkp8aapqanJPF6WLFmCkSNHQkNDA6ampoiIiEBBQQH69evH9SS4ePEib31xcXHo2rUr1NTUYGxsDD8/P6m/c1UVFBTgzJkzvG6hjDEsXLgQJiYmaNSoEYyMjODn58fNr+1vYW377/Xr1/Dz84OBgQFUVVXRpUsXJCcnc8tKfsujoqKq/VsIACtWrEDTpk2hqakJX19flJSU8ObX9nvRt29fRERE4NWrV9XuH0I+NZRYkn+N0tfl1b7KSsu5cpKur7JEh6ej6An/R766OusiLy8PQ4YMgY+PD9LS0hAdHY2BAweCMcaVOXv2LLKysnD27Fns2LEDYWFhvC6GkyZNQmJiIvbs2YOrV69i0KBB8PDwQEZGxv+27eVL/Pzzz9i1axfOnTuH3NxcTJ8+nReH5JWZmYmWLVuiW7duvFjnzp2LoKAgXLx4EUpKSvDx8ZF7O7t27YqioiKkpKQAAGJiYqCvr8/7ox8TE8N1mSspKUG7du1w7NgxXL9+HWPGjMGIESNw4cIFXr07duyAuro6kpKSsHLlSixatAiRkZEAgPLycvTv3x9CoRBJSUnYsmUL5s6dKxVbRUUFjh49in79+sm9PVWVlpZi8eLFuHLlCg4fPoycnBx4e3tLlVu4cCHWr1+PhIQELlFZs2YNdu/ejWPHjuHUqVNYt24dV/7FixeYOnUqLl68iKioKCgoKGDAgAGoqKiQGcfTp08RHh6Ozp07Q1lZ+Z22RV47d+6EUCjktY4mJiaiZ8+evHJisVjqxLiq4uJi/Pbbb2jZsmWNLd7h4eHQ0NDAhAkTZM6v2nU5KysLhw8fxtGjR3H06FHExMRgxYoVNW5PUFAQnJ2dkZKSggkTJmD8+PHcyWJpaSnEYjE0NTURGxuL+Ph4Lgl58+YNysrK0L9/f7i5ueHq1atITEzEmDFjuEQkNjYWI0eOxOTJk3Hz5k1s3rwZYWFhWLp0abXx7N+/H2/evMHMmTNr3d7aju2ioiJ4eXkhLi4O58+fh6WlJXr37s0lYZIT59DQUOTl5fFOpOvCx8eH97u0fft2DBs2DCoqKrxy4eHhmD9/PpYuXYq0tDQsW7YM8+bN4yWlmpqaCAsLw82bN7F27Vps3bpV6gLFu3zOb6tp302fPh2hoaEA/vf7KG/8ADB79mxMnjwZaWlpEIvFci83d+5cTJ8+HampqbCyssKQIUO4ixCpqano0aMHWrdujcTERMTFxaFv377cBbvly5dj586d2LRpE27cuIEpU6Zg+PDhiImJqdN+qU1wcDBcXV2RkpKCr776CiNGjMDIkSMxfPhwXL58GS1atMDIkSO5v2NZWVnw8PDAN998g6tXr2Lv3r2Ii4vDpEmTql1HXFwchEIhbGxsuGkHDhxAcHAwNm/ejIyMDBw+fBh2dnbc/Nr+Fta2/2bOnIkDBw5gx44duHz5Mlq2bAmxWCzV1b6mv4X79u3DwoULsWzZMly8eBGGhoa8Cwi1/V4AgLOzM8rKypCUlPQuHw8h/0yMkE/Iq1ev2M2bN9mrV6+k5q0fG1Xt67/rUhljjFVUVLA/f71SY9mQqTG8ekOmnZNZri4uXbrEALCcnByZ8728vJipqSkrKyvjpg0aNIh99913jDHG7t69yxQVFdmDBw94y/Xo0YP9+OOPjDHGQkNDGQCWmZnJzd+wYQNr2rSp1PoqKirYgAEDWLt27djLly8ZY4ydPXuWAWCnT5/myh07dowB4Pb3ggULmIODQ43b6uTkxFatWsUYY6x///5s6dKlTEVFhRUVFbH79+8zAOz27dvVLv/VV1+xadOmce/d3NxYly5deGXat2/PZs2axRhj7Pjx40xJSYnl5eVx8yMjIxkAdujQIW5afHw8MzAwYOXl5dz+0tbWrjYONzc3Nnny5GrnJycnMwCsqKiIMSZ7/y1fvpwBYFlZWdy0sWPHMrFYXG29BQUFDAC7du0ab/rMmTOZUChkAFinTp3YX3/9VW0dVUniKiwslKt8VTY2Nmz8+PG8aZaWlmzZsmW8aZLvieS75OXlxRQVFZm6ujpTV1dnAJihoSG7dOlSjevz9PRk9vb2tca1YMECJhQK2d9//81NmzFjBuvYsSP3/u3Pz9TUlA0fPpx7X1FRwQwMDNivv/7KGGNs165dzNramlVUVHBlXr9+zdTU1NjJkyfZkydPGAAWHR0tM6YePXpI7Zddu3YxQ0PDardj/PjxTEtLq9btrcuxLVFeXs40NTXZf//7X27a28eELNnZ2QwAS0lJ4U2XHPtv3rxhBgYGLCYmhhUXFzNNTU125coVNnnyZObm5saVb9GiBdu9ezevjsWLFzMXF5dq171q1SrWrl073jpr+5zf9vb3XZ59d+jQIfb26VBt8Uv205o1a95puZCQEG7+jRs3GACWlpbGGGNsyJAhzNXVVeb2lZSUMKFQyBISEnjTfX192ZAhQ2TvlCqq+w2v7XjJy8tjANi8efO4aYmJiQwA99vr6+vLxowZw6s3NjaWKSgoyPybzRhjwcHBzMLCgjctKCiIWVlZsTdv3kiVl+dvYU37r7i4mCkrK7Pw8HBu2ps3b5iRkRFbuXIlY0y+v4UuLi5swoQJvLo7duzI7dvafi8kdHR0WFhYGG9abX+balPTeRIhHxq1WJLPytOHL3An9a8ay5S8KMOTh8Xvdb0ODg7o0aMH7OzsMGjQIGzdupXrliNha2sLRUVF7r2hoSHX1fLatWsoLy+HlZUVNDQ0uFdMTAyv26RQKESLFi1k1lHVnDlzkJiYiCNHjkBNTY03z97enrc8AJl1xMbG8mKRdANzc3NDdHQ0GGOIjY3FwIEDYWNjg7i4OMTExMDIyAiWlpYAKlsbFy9eDDs7O+jq6kJDQwMnT55Ebm5utTG9vV3p6ekwNjaGSCTi5nfo0EEq3iNHjqBPnz7vfB/PpUuX0LdvX5iYmEBTUxNubm4AUGOsTZs25br5VZ1WdX9mZGRgyJAhsLCwgJaWFtdF8e16Z8yYgZSUFJw6dQqKioq8loJ34enpyX12tra2UvMTExORlpbG6wZbF5J7MFNTU3HhwgWIxWJ4enpyXcFkrb8u22NmZsa7J6y673pVVT8bgUAAkUjELXPlyhVkZmZCU1OTi0tXVxclJSXIysqCrq4uvL29IRaL0bdvX6xdu5bXFfXKlStYtGgR75gYPXo08vLy8PLlS4wbN443T7K9VVswalLbsf3o0SOMHj0alpaW0NbWhpaWFoqLi6W+R/WlrKyM4cOHIzQ0FPv374eVlZXU8fnixQtkZWXB19eXt81Llizh/V7t3bsXrq6uXBfNgIAAqXjf5XN+m7y/i3WNH6hsdXqX5Wr6nZW0uMmSmZmJly9folevXrx17Ny5U2od9fX2bxkAXsuhZFrVYygsLIwXl1gsRkVFBbKzs2Wu49WrV1BVVeVNGzRoEF69egULCwuMHj0ahw4d4lpz5flbWNP+y8rKQmlpKVxdXblpysrK6NChA9LS0qrd/rc/o7S0NHTs2JFX3sXFhft/bb8XEmpqarxbIwj51Ck1dACEvC9j1rpVO0/w/7mErpE6LNrqI/vq/+6vfLucmZ0+9Iw0uGkjl3aud2yKioqIjIxEQkIC1xVy7ty5SEpKgrm5OQBIdWsUCARcd8ji4mIoKiri0qVLvOQTAHeSWl0db5+s//bbbwgODkZ0dDSaNWsmFWvVOiQnvbK6ZTo7OyM1NZV7LznJcHd3x/bt23HlyhUoKyujVatWcHd3R3R0NAoLC7mEDKgcTXLt2rVYs2YN7OzsoK6uDn9/f7x5wx+ht6Z9I6+IiIg6d6GTePHiBcRiMdfVrUmTJsjNzYVYLK4xVoFAUGvsffv2hampKbZu3QojIyNUVFSgTZs2UvXq6+tDX18fVlZWsLGxgbGxMc6fP887mamLkJAQ7t4eWV1qQ0JC0LZtW7Rr1443XSQS4dEj/r3Ijx49gpaWFu8ihbq6Om+QpJCQEGhra2Pr1q1YsmSJzPVbWVkhLi4OpaWltXbzfZfvRG3HWLt27bgLJFU1adIEQGU3Uj8/P5w4cQJ79+5FQEAAIiMj0alTJxQXFyMwMBADBw6UWl5VVRWLFi3idV2VbO/z58+Rl5fHnbjWJfaqx7aXlxeePHmCtWvXwtTUFI0aNYKLi4vU9+h98PHxQceOHXH9+nWZXeWLiysvzG3dulXq5Fvy+5WYmIhhw4YhMDAQYrEY2tra2LNnj9SARe/j2Jfnd7Gu8Uuoq6u/03I1/c6+fbFPVmzHjh2T+v1+10GHqiMrxpriLi4uxtixY3n3Q0pUN7iTvr6+1EVWY2NjpKen4/Tp04iMjMSECROwatUqxMTEyPW3sKb9Vxfy/i2sTk2/FxJPnz7lfl8I+TegxJL8ayg3Uqy1jEAggNvQVriffh5vXkkPqqGiqgT3Ya3qXK88BAIBXF1d4erqivnz58PU1BSHDh3C1KlTa13W0dER5eXlePz4Mbp27frOMSQmJmLUqFHYvHlznQZ1kUVNTU3m6KqS+yyDg4O5JNLd3R0rVqxAYWEhpk2bxpWNj49Hv379uMF8KioqcPv2bbRu3VruOKytrXHv3j08evSIS27fvn8sIyMDd+/eRa9eveq8nUDl4EBPnjzBihUrYGxsDABSg1a8iydPniA9PR1bt27lPte4uLhal5Oc3Lx+/fqd1y3rooJEcXEx9u3bh+XLl0vNc3FxwZ9//smbFhkZWWuCKxAIoKCgwCWTstYvGSVx48aNmDx5stT8Z8+efbBHxDg5OWHv3r0wMDCAlpZWteUcHR3h6OiIH3/8ES4uLti9ezc6deoEJycnpKenVzvisIGBATeyrsS3336L2bNnY+XKlVL3FgJ12974+Hhs3LgRvXv3BlA5ENFff/F7ZygrK3P3mdWHra0tbG1tcfXqVQwdOlRqftOmTWFkZIQ7d+5g2LBhMutISEiAqakp737oqgObNCR54n+fy73N3t4eUVFRCAwMlJrXunVrNGrUCLm5ubyLdP8ETk5OuHnzZp1G3XZ0dER+fj4KCwuho6PDTVdTU0Pfvn3Rt29fTJw4Ea1atcK1a9fk+ltY0/5r0aIFVFRUEB8fD1NTUwCV91cnJyfX6TmeNjY2SEpKwsiRI7lp58+fl7l9sn4vgMrW05KSEjg6Osq9XkL+6SixJJ8doZYK3IdZ41TIDal5bkOtIdRSkbFU/SQlJSEqKgpffvklDAwMkJSUhIKCAt6ABTWxsrLCsGHDMHLkSAQFBcHR0REFBQWIioqCvb29zBEZ35afn48BAwbg+++/h1gsRn5+PoDKK+nv84qpjo4O7O3tER4ejvXr1wOofPj14MGDUVpayjsZsrS0xB9//IGEhATo6Ohg9erVePToUZ0Sy169eqFFixbw8vLCypUrUVRUhICAAAD/u8p85MgR9OzZE0KhkLdseXk5r9UVqLzq//bnYmJiAhUVFaxbtw7jxo3D9evX38sz33R0dKCnp4ctW7bA0NAQubm5vBF0gcrvTnJyMrp06QIdHR1kZWVh3rx5aNGiBZfMPXjwAD169MDOnTu5bsD5+fnIz89HZmYmgMouZJLRUHV1dWuMa+/evSgrK+MS/qrGjRuH9evXY+bMmfDx8cGZM2ewb98+HDt2jFfu9evX3HessLAQ69evR3FxscyHgkt07NgRM2fO5J7hOGDAABgZGSEzMxObNm1Cly5dZCac78OwYcOwatUq9OvXD4sWLULz5s1x9+5dHDx4EDNnzkRpaSm2bNmCr7/+GkZGRkhPT0dGRgZ3Yjl//nz06dMHJiYm+Pbbb6GgoIArV67g+vXrWLJkicx1GhsbIzg4GJMmTcLff/+NkSNHwszMDPfv38fOnTuhoaEh9yNHLC0tuZGL//77b8yYMUOq5cbMzAxRUVFwdXVFo0aNeCfydXXmzBmUlpZWm/gGBgbCz88P2tra8PDwwOvXr3Hx4kUUFhZi6tSpsLS0RG5uLvbs2YP27dvj2LFjOHTo0DvH877VFv/7Xq6qH3/8EXZ2dpgwYQLGjRsHFRUVnD17FoMGDYK+vj6mT5+OKVOmoKKiAl26dMHz588RHx8PLS0tqZGTP6ZZs2ahU6dOmDRpEkaNGgV1dXXcvHkTkZGR3N+Ctzk6OkJfXx/x8fHc44jCwsJQXl6Ojh07QigU4rfffoOamhpMTU2hp6dX69/C2vbf+PHjMWPGDOjq6sLExAQrV67Ey5cv69Ttf/LkyfD29oazszNcXV0RHh6OGzducLc9ZGdn1/h7AVTeTmJhYcHrpk3Ip47usSSfpZbtDGDRVp/rIitQACwcm8DSuekHWZ+WlhbOnTuH3r17w8rKCgEBAQgKCqrTg7hDQ0MxcuRITJs2DdbW1ujfvz+Sk5Plfn7crVu38OjRI+zYsQOGhobcq3379u+6WdVyc3NDeXk5N/qrrq4uWrduDZFIBGtra65cQEAAnJycIBaL4e7uDpFIhP79+9dpXYqKijh8+DCKi4vRvn17jBo1imsFkdy7U91jRoqLi7krypKXrMSnSZMmCAsLw/79+9G6dWusWLECP//8c53ilEVBQQF79uzBpUuX0KZNG0yZMgWrVq3ilREKhTh48CB69OgBa2tr+Pr6wt7eHjExMVzXt9LSUqSnp/Pu1dm0aRMcHR0xevRoAJXJvaOjIyIiImqNa9u2bRg4cKDMpMHc3BzHjh1DZGQkHBwcEBQUhJCQEIjFYl65EydOcN+xjh07Ijk5Gfv37+e+E9X56aefsHv3biQlJUEsFsPW1hZTp06Fvb39Bz1pFgqFOHfuHExMTLj7giWPENDS0oJQKMStW7fwzTffwMrKCmPGjMHEiRMxduxYAJUj4x49ehSnTp1C+/bt0alTJwQHB3OtItWZMGECTp06xSXSrVq1wqhRo6ClpSXVdbYm27ZtQ2FhIZycnDBixAjucQpVBQUFITIyEsbGxvVuJZE8QqE6o0aNQkhICEJDQ2FnZwc3NzeEhYVxXf+//vprTJkyBZMmTULbtm2RkJCAefPm1Sum96m2+N/3clVZWVnh1KlTuHLlCjp06AAXFxccOXIESkqVbQGLFy/GvHnzsHz5ctjY2MDDwwPHjh2r0zo+BMnv0u3bt9G1a1c4Ojpi/vz5MDIyqnYZRUVF/PDDD7wu6I0bN8bWrVvh6uoKe3t7nD59Gv/973+5EaVr+1tY2/5bsWIFvvnmG4wYMQJOTk7IzMzEyZMn63Sh5bvvvsO8efMwc+ZMtGvXDnfv3sX48eO5+bX9XgDA77//zv0+E/JvIWD1Gf2BkI+spKQE2dnZMDc3l7rhv65e/v0G4Qsqu8Q2Eiph6MJOH6S1knx88fHx6NKlCzIzM6GtrQ1DQ0Pcv3+f6ypLCJEtJycH5ubmSElJqfGZtYS8L/n5+bC1tcXly5drvRDzb3Hjxg188cUXuH37NrS1tXnzwsLC4O/vj2fPnr1T3e/zPImQuqKusOSzJekSG7cvA12/s6Kk8hN26NAhaGhowNLSEpmZmZg8eTJcXV3RokUL3L59G6tXr6akkpA66Ny5M9eSSMiHJBKJsG3bNuTm5n42iWVeXh527twplVRqaGigrKyMEkLyyaIWS/JJoStxRJadO3diyZIlyM3Nhb6+Pnr27ImgoCCu6xQhRD5lZWXIyckBUHm/sWSwKkLIhye5J15RUfGduzbTeRJpSJRYkk8K/WASQgghhMhG50mkIdHgPYQQQgghhBBC6oUSS0IIIYQQQggh9UKJJSGEEEIIIYSQeqHEkhBCCCGEEEJIvVBiSQghhBBCCCGkXiixJIQQQgghhBBSL5RYEkIIIYQQQgipF0osyWervIIhMesJjqQ+QGLWE5RX0CNdCamvnJwcCAQCCAQCtG3btqHDaRCS7W/cuHFDh0IIIYR8NJRYks/Siet56PLTGQzZeh6T96RiyNbz6PLTGZy4nvdB13vv3j34+PjAyMgIKioqMDU1xeTJk/HkyZMPul553b17F2pqaiguLgYAPH36FP7+/jA1NYWKigqMjIzg4+OD3NzcBo0zJycHvr6+MDc3h5qaGlq0aIEFCxbgzZs3NS7n7e3NnfRXfdna2nJlli9fjvbt20NTUxMGBgbo378/0tPTefWYmZlxyyoqKsLIyAi+vr4oLCyscf1hYWHvNdnw9vZG//7931t9tREIBDh8+LBcZU+fPo2oqCju/cKFCyEQCODh4SFVdtWqVRAIBHB3d5cq//arVatWvOS1uldYWBiio6OrnZ+fn8+tS97vedXvj7KyMszNzTFz5kyUlJTwyuXl5WHNmjVy7SdCCCHk34ISS/LZOXE9D+N/u4y85/yTwfznJRj/2+UPllzeuXMHzs7OyMjIwO+//47MzExs2rQJUVFRcHFxwdOnTz/IeuviyJEj6N69OzQ0NPD06VN06tQJp0+fxqZNm5CZmYk9e/YgMzMT7du3x507dxoszlu3bqGiogKbN2/GjRs3EBwcjE2bNmHOnDk1Lrd27Vrk5eVxr3v37kFXVxeDBg3iysTExGDixIk4f/48IiMjUVpaii+//BIvXrzg1bVo0SLk5eUhNzcX4eHhOHfuHPz8/D7I9tZXaWnpR1+nnp4e9PT0eNMMDQ1x9uxZ3L9/nzd9+/btMDExkarD1taW93nl5eUhLi4OxsbGvGnTpk2TKvvdd99x9aSnp0vVY2BgAAB1/p57eHggLy8Pd+7cQXBwMDZv3owFCxbwyohEImhra9dr/xFCCCGfGkosySePMYaXb8rkehWVlGJBxA3I6vQqmbYw4iaKSkrlqo8x+bvPTpw4ESoqKjh16hTc3NxgYmICT09PnD59Gg8ePMDcuXMBAOvXr0ebNm245Q4fPgyBQIBNmzZx03r27ImAgADu/ZEjR+Dk5ARVVVVYWFggMDAQZWVl3HyBQICQkBAMGDAAQqEQlpaWiIiIkIrxyJEj+PrrrwEAc+fOxcOHD3H69Gl4enrCxMQE3bp1w8mTJ6GsrIyJEycCAI4ePYrGjRujvLwcAJCamgqBQIDZs2dz9Y4aNQrDhw/n3sfFxaFr165QU1ODsbEx/Pz8eImbmZkZli1bBh8fH2hqasLExARbtmzh5nt4eCA0NBRffvklLCws8PXXX2P69Ok4ePBgjZ+BtrY2RCIR97p48SIKCwvxww8/cGVOnDgBb29v2NrawsHBAWFhYcjNzcWlS5d4dWlqakIkEqFZs2bo3r07vLy8cPny5RrX/7aFCxeibdu22LVrF8zMzKCtrY3vv/8eRUVFXJk//vgDdnZ2UFNTg56eHnr27IkXL15g4cKF2LFjB44cOcK1okVHR3OteXv37oWbmxtUVVURHh7OrauqNWvWwMzMjDdt+/btsLW1RaNGjWBoaIhJkyYBAFduwIABEAgEUsvJw8DAAF9++SV27NjBTUtISMBff/2Fr776Sqq8kpIS7/MSiUTQ19eHoqIib5qGhoZUWTU1Nd56365HQaHyz5+833OJRo0aQSQSwdjYGP3790fPnj0RGRlZ531BCCGE/NsoNXQAhNTXq9JytJ5/8r3UxQDk/10Cu4Wn5Cp/c5EYQpXaD6OnT5/i5MmTWLp0Ke+EF6hs3Rg2bBj27t2LjRs3ws3NDX5+figoKECTJk0QExMDfX19REdHY9y4cSgtLUViYiKXuMXGxmLkyJH45Zdf0LVrV2RlZWHMmDEAwGtJCQwMxMqVK7Fq1SqsW7cOw4YNw927d6GrqwsAePbsGeLi4rBr1y5UVFRgz549GDZsGEQiES9eNTU1TJgwAQEBAXj69Cm6du2KoqIipKSkwNnZmRevRExMDGbNmgUAyMrKgoeHB5YsWYLt27ejoKAAkyZNwqRJkxAaGsotExQUhMWLF2POnDn4448/MH78eLi5ucHa2lrmPn7+/Dm3LfLatm0bevbsCVNT02rLPH/+HABqrPvBgwf473//i44dO9Zp/UDl/jh8+DCOHj2KwsJCDB48GCtWrMDSpUuRl5eHIUOGYOXKlRgwYACKiooQGxsLxhimT5+OtLQ0/P3339x+09XVxcOHDwEAs2fPRlBQEBwdHaGqqorNmzfXGsuvv/6KqVOnYsWKFfD09MTz588RHx8PAEhOToaBgQFCQ0Ph4eEBRUXFOm8rAPj4+GDmzJnchZTt27dj2LBh71RXfdXley7r879+/ToSEhJq/P4QQgghnwtqsSTkI8jIyABjDDY2NjLn29jYoLCwEAUFBWjTpg10dXURExMDAIiOjsa0adO49xcuXEBpaSk6d+4MoDJhnD17Nry8vGBhYYFevXph8eLFUomEt7c3hgwZgpYtW2LZsmUoLi7GhQsXuPl//vkn7O3tYWRkhIKCAjx79qzGeBljyMzMhLa2Ntq2bcslktHR0ZgyZQpSUlJQXFyMBw8eIDMzE25ubgAq72EcNmwY/P39YWlpic6dO+OXX37Bzp07efeq9e7dGxMmTEDLli0xa9Ys6Ovr4+zZszLjyczMxLp16zB27NjaPgrOw4cPcfz4cYwaNaraMhUVFfD394erqyuvFRkAZs2aBQ0NDaipqaF58+YQCARYvXq13Ouvuo6wsDC0adMGXbt2xYgRI7h7E/Py8lBWVoaBAwfCzMwMdnZ2mDBhAjQ0NLh1S1rQRCIRVFRUuHr9/f0xcOBAmJubw9DQUK5YlixZgmnTpmHy5MmwsrJC+/bt4e/vDwBo0qQJAKBx48YQiUTc+7rq06cP/v77b5w7dw4vXrzAvn374OPjI7PstWvXuG2VvMaNG1fndTZv3pxXh+Se2rp8zyWOHj0KDQ0NqKqqws7ODo8fP8aMGTPqHBMhhBDyb0MtluSTp6asiJuLxHKVvZD9FN6hybWWC/uhPTqY1976paZct1ab2rrOqqioQCAQoFu3boiOjkbPnj1x8+ZNTJgwAStXrsStW7cQExOD9u3bQygUAgCuXLmC+Ph4LF26lKunvLwcJSUlePnyJVfO3t6em6+urg4tLS08fvyYm1a1G2xd4gUANzc3LgGOjY3F8uXLsW/fPsTFxeHp06cwMjKCpaUlF+/Vq1cRHh7OW09FRQWys7O5k/yq8QoEAohEIl68Eg8ePICHhwcGDRqE0aNHc9M1NDS4/w8fPpzXlRgAduzYgcaNG9c4+M3EiRNx/fp1xMXFSc2bMWMGvL29wRjDvXv3MGfOHHz11Vc4d+4cFBUVa12/hJmZGTQ1Nbn3hoaG3HY6ODigR48esLOzg1gsxpdffolvv/0WOjo61cYs4ezsXGuZqh4/foyHDx+iR48edVqurpSVlTF8+HCEhobizp07sLKy4n3WVVlbW0t12dbS0qrzOmNjY3n7WFlZmTe/Ll3au3fvjl9//RUvXrxAcHAwlJSU8M0339Q5JkIIIeTfhhJL8skTCARydUcFgK6WTWCorYr85yUy77MUABBpq6KrZRMoKgjeW4wtW7aEQCBAWloaBgwYIDU/LS0NTZo04UYMdXd3x5YtWxAbGwtHR0doaWlxyWZMTAzX+gcAxcXFCAwMxMCBA6XqVVVV5f7/9sm0QCBARUUFAODNmzc4ceIEN/iNJJa0tDSZ25OWlgYlJSWYm5tz8W7fvh1XrlyBsrIyWrVqBXd3d0RHR6OwsFAq3rFjx8oc6KbqAC41xSvx8OFDdO/eHZ07d+bdgwlU3usp8XYywhjD9u3bMWLECF4rX1WTJk3C0aNHce7cOTRv3lxqvr6+Plq2bAkAsLS0xJo1a+Di4oKzZ8+iZ8+eNa6/qpq2U1FREZGRkUhISMCpU6ewbt06zJ07F0lJSdy+r466ujrvvYKCglQCVXVQn7e7aH9IPj4+6NixI65fv15tayVQeeFCso/rw9zcXOZovPJ8zwUCAS8GdXV17v327dvh4OCAbdu2wdfXt95xEkIIIZ8y6gpLPiuKCgIs6NsaQGUSWZXk/YK+rd9rUglUjpDZq1cvbNy4Ea9eveLNy8/PR3h4OLy9vblpbm5uuHnzJvbv3889gsHd3R2nT59GfHw877EMTk5OSE9PR8uWLaVekgFKahMdHQ0dHR04ODgAqExCBg8ejN27d/MeywAAr169wsaNGzFgwABu5EvJfZbBwcFcEilJLKOjo6XivXnzpsx4q0vyZHnw4AHc3d3Rrl07hIaGSm1r1XolI4BKxMTEIDMzU2YywBjDpEmTcOjQIZw5c6bWBE5Ccs+h5POtaf11IRAI4OrqisDAQKSkpEBFRQWHDh0CUJl4SQZNqk2TJk2Qn5/PSy6rJr+ampowMzPjPSLkbcrKynKvrya2trawtbXF9evXMXTo0HrX967k+Z6LxeJq769VUFDAnDlzEBAQIHVcE0IIIZ8bSizJZ8ejjSF+He4EkbYqb7pIWxW/DneCRxv57kerq/Xr1+P169cQi8U4d+4c7t27hxMnTqBXr16wsrLC/PnzubL29vbQ0dHB7t27eYnl4cOH8fr1a7i6unJl58+fj507dyIwMBA3btxAWloa9uzZwxs1tjYRERFS3WCXLl0KkUiEXr164fjx47h37x7OnTsHsVgMBQUFrF27liuro6MDe3t7hIeHc/F269YNly9fxu3bt3ktlrNmzUJCQgImTZqE1NRUZGRk4MiRI9zoo/KQJJUmJib4+eefUVBQgPz8fKnkoDrbtm1Dx44dpe6bBCq7v/7222/YvXs3NDU1uXrfThyKioqQn5+PvLw8XLhwATNmzECTJk24e1/fh6SkJCxbtgwXL15Ebm4uDh48iIKCAq67sJmZGa5evYr09HT89ddfNT5WxN3dHQUFBVi5ciWysrKwYcMGHD9+nFdm4cKFCAoKwi+//IKMjAxcvnwZ69at4+ZLEs/8/Pxan9lZmzNnziAvL6/G53qWlZVx+1/yevToUZ3X9fjxY6l6JPtq2bJl1X7PS0tLsWHDhhrrHjRoEBQVFWstRwghhPzbUWJJPksebQwRN+sL/D66E9Z+3xa/j+6EuFlffLCkEqjsLpmcnAwLCwsMHjwYpqam8PT0hJWVFeLj43n35AkEAnTt2hUCgQBdunQBUJlsamlpwdnZmdfNUSwW4+jRozh16hTat2+PTp06ITg4uE4jVcpKLPX19XH+/Hl0794dY8eOhbm5Odzc3FBeXo7U1FSpAWEk8ySJpa6uLlq3bg2RSMQbydXe3h4xMTG4ffs2unbtCkdHR8yfPx9GRkZyxxsZGYnMzExERUWhefPmMDQ05F61ef78OQ4cOFBt18Vff/0Vz58/h7u7O6/evXv38srNnz8fhoaGMDIyQp8+faCuro5Tp05JPbuxPrS0tHDu3Dn07t0bVlZWCAgIQFBQEDw9PQEAo0ePhrW1NZydndGkSRNuBFdZbGxssHHjRmzYsAEODg64cOECpk+fzivj5eWFNWvWYOPGjbC1tUWfPn2QkZHBzQ8KCkJkZCSMjY3h6OhYr21TV1evMakEgBs3bvA+A0NDw3cagdXa2lqqHsnjY/T09Hjf8xYtWmDw4MFo0aIFd7zWRElJCZMmTcLKlSulnnVKCCGEfE4ErC6jFhDSwEpKSpCdnQ1zc3Pe/YOfqgULFmD16tWIjIxEp06dGiSGy5cv44svvkBBQYHU/X5v27ZtGyZMmIC9e/fWOOgN+Xzl5OTA3NwcKSkpUs/N/JyEhYXB398fz549a+hQCCGfkX/beRL5tNDgPYQ0oMDAQJiZmeH8+fPo0KGD3PdEvk9lZWVYt25drUklAPj6+kJXVxdpaWkQi8UfdcAX8mnp3Lkz2rZti4SEhIYO5aPT0NBAWVkZndQRQgj5rFCLJfmk0JU4Qv7ZysrKkJOTAwBo1KgRjI2NGzagBiB57qWioqLcgz8RQsj7QOdJpCFRiyUhhJD3RklJ6b08IuRT9rlvPyGEkM8TDd5DCCGEEEIIIaReKLEkhBBCCCGEEFIvlFgSQgghhBBCCKkXSiwJIYQQQgghhNQLJZaEEEIIIYQQQuqFEktCCCHvTU5ODgQCAQQCAdq2bdvQ4Xw0CxcuRNOmTSEQCHD48OGGDuejc3d3h7+/f4Otv1u3bti9e3eDrf99WLhwodzHzKZNm9C3b1+p6ZJjr3Hjxu83OEIIkQMlluSzVV7BkJj1BEdSHyAx6wnKKz78I13v3bsHHx8fGBkZQUVFBaamppg8eTKePHnywdctj7t370JNTQ3FxcUAgKdPn8Lf3x+mpqZQUVGBkZERfHx8kJub26Bx5uTkwNfXF+bm5lBTU0OLFi2wYMECvHnzpsblvL29uROvqi9bW1uuzPLly9G+fXtoamrCwMAA/fv3R3p6Oq8eMzMzbllFRUUYGRnB19cXhYWFNa4/LCzsvZ7weXt7o3///u+tvtrUJWk6ffo0oqKiuPcLFy6EQCCAh4eHVNlVq1ZBIBDA3d39PUX67qKjoyEQCPDs2TO5l0lLS0NgYCA2b96MvLw8eHp6frgAP7KqFwqqe4WFheHgwYNYvHhxg8QYERGBR48e4fvvv2+Q9TcEHx8fXL58GbGxsbzpeXl5WLNmTcMERQj57FFiST5LJ67noctPZzBk63lM3pOKIVvPo8tPZ3Diet4HW+edO3fg7OyMjIwM/P7778jMzMSmTZsQFRUFFxcXPH369IOtW15HjhxB9+7doaGhgadPn6JTp044ffo0Nm3ahMzMTOzZsweZmZlo37497ty502Bx3rp1CxUVFdi8eTNu3LiB4OBgbNq0CXPmzKlxubVr1yIvL4973bt3D7q6uhg0aBBXJiYmBhMnTsT58+cRGRmJ0tJSfPnll3jx4gWvrkWLFiEvLw+5ubkIDw/HuXPn4Ofn90G2t75KS0s/+jr19PSgp6fHm2ZoaIizZ8/i/v37vOnbt2+HiYnJxwzvvcrKygIA9OvXDyKRCI0aNXqnehric6qNsbEx75iZNm0abG1tedO+++476OrqQlNTs0Fi/OWXX/DDDz9AQeHzOaVRUVHB0KFD8csvv/Cmi0QiaGtrN1BUhJDP3efzK0zI/ztxPQ/jf7uMvOclvOn5z0sw/rfLHyy5nDhxIlRUVHDq1Cm4ubnBxMQEnp6eOH36NB48eIC5c+cCANavX482bdpwyx0+fBgCgQCbNm3ipvXs2RMBAQHc+yNHjsDJyQmqqqqwsLBAYGAgysrKuPkCgQAhISEYMGAAhEIhLC0tERERIRXjkSNH8PXXXwMA5s6di4cPH+L06dPw9PSEiYkJunXrhpMnT0JZWRkTJ04EABw9ehSNGzdGeXk5ACA1NRUCgQCzZ8/m6h01ahSGDx/OvY+Li0PXrl2hpqYGY2Nj+Pn58RI3MzMzLFu2DD4+PtDU1ISJiQm2bNnCzffw8EBoaCi+/PJLWFhY4Ouvv8b06dNx8ODBGj8DbW1tiEQi7nXx4kUUFhbihx9+4MqcOHEC3t7esLW1hYODA8LCwpCbm4tLly7x6tLU1IRIJEKzZs3QvXt3eHl54fLlyzWu/22Srm+7du2CmZkZtLW18f3336OoqIgr88cff8DOzg5qamrQ09NDz5498eLFCyxcuBA7duzAkSNHuJaj6OhoroVp7969cHNzg6qqKsLDw2V2s1uzZg3MzMx407Zv3w5bW1s0atQIhoaGmDRpEgBw5QYMGACBQCC1nDwMDAzw5ZdfYseOHdy0hIQE/PXXX/jqq6+kyoeEhMDGxgaqqqpo1aoVNm7cyJs/a9YsWFlZQSgUwsLCAvPmzeMlZ/Ls39pIWplPnjwJGxsbaGhowMPDA3l5edw6JF0SFRQUIBAI5Iq/us9J3uUOHjyI7t27QygUwsHBAYmJiby44+Pj4e7uDqFQCB0dHYjFYq5FvaKiAsuXL+da/B0cHPDHH3/I3H5FRUXeMaOhoQElJSXeNDU1NamusGZmZliyZAlGjhwJDQ0NmJqaIiIiAgUFBejXrx80NDRgb2+Pixcv8tZX22/D2woKCnDmzBlet1DGGBYuXAgTExM0atQIRkZGvIs+r1+/xvTp09GsWTOoq6ujY8eOiI6Olnv/vX79Gn5+fjAwMICqqiq6dOmC5ORkbllJq3dUVBScnZ0hFArRuXNnqZ4PK1asQNOmTaGpqQlfX1+UlPD/JkVHR6NDhw5QV1dH48aN4erqirt373Lz+/bti4iICLx69ara/UMIIR8VI+QT8urVK3bz5k326tUrqXkvXpdW+3r1powxxlhZeQXrtOw0M511VObLbNZR1nHZaVZWXlFrvXXx5MkTJhAI2LJly2TOHz16NNPR0WEVFRXs6tWrTCAQsMePHzPGGPP392f6+vrsu+++Y4wx9ubNGyYUCllkZCRjjLFz584xLS0tFhYWxrKystipU6eYmZkZW7hwIVc/ANa8eXO2e/dulpGRwfz8/JiGhgZ78uQJV6awsJCpqKiwBw8esPLycta4cWM2ZswYmfEuXbqUCQQC9uTJE/bs2TOmoKDAkpOTGWOMrVmzhunr67OOHTty5Vu2bMm2bt3KGGMsMzOTqaurs+DgYHb79m0WHx/PHB0dmbe3N1fe1NSU6erqsg0bNrCMjAy2fPlypqCgwG7dulXtPp47dy5r165d9R+CDH369GG9evWqsUxGRgYDwK5du8aLLzg4mHt///591qFDB/bDDz/UWFdoaCjT1tbm3i9YsIBpaGiwgQMHsmvXrrFz584xkUjE5syZwxhj7OHDh0xJSYmtXr2aZWdns6tXr7INGzawoqIiVlRUxAYPHsw8PDxYXl4ey8vLY69fv2bZ2dkMADMzM2MHDhxgd+7cYQ8fPmQLFixgDg4OvHiCg4OZqakp937jxo1MVVWVrVmzhqWnp7MLFy5w2/n48WMGgIWGhrK8vDzu+/k2yfpTUlJ40yXrP3jwIGvZsiU33dfXl02ePJlNnjyZubm5cdN/++03ZmhoyG3DgQMHmK6uLgsLC+PKLF68mMXHx7Ps7GwWERHBmjZtyn766Se5968sZ8+eZQBYYWEh95kpKyuznj17suTkZHbp0iVmY2PDhg4dyhhjrKioiIWGhjIA3OcgT/zVfU7yLteqVSt29OhRlp6ezr799ltmamrKSksrf5dSUlJYo0aN2Pjx41lqaiq7fv06W7duHSsoKGCMMbZkyRLWqlUrduLECZaVlcVCQ0NZo0aNWHR0dLX75e3P8W1ubm5s8uTJ3HvJMbxp0yZ2+/ZtNn78eKalpcU8PDzYvn37WHp6Ouvfvz+zsbFhFRWVv7fy/Da87eDBg0xdXZ2Vl5dz0/bv38+0tLTYn3/+ye7evcuSkpLYli1buPmjRo1inTt3ZufOnWOZmZls1apVrFGjRuz27dty7T8/Pz9mZGTE/vzzT3bjxg3m5eXFdHR0uN9TyXeoY8eOLDo6mt24cYN17dqVde7cmYth7969rFGjRiwkJITdunWLzZ07l2lqanL7trS0lGlra7Pp06ezzMxMdvPmTRYWFsbu3r3L1fHixQumoKDAzp49y9snb//OkM9LTedJhHxolFiST0pNP5jVJYums44y7+1JjDHGEjL/qrGc5JWQ+RdXr+OiUzLL1MX58+cZAHbo0CGZ81evXs0AsEePHrGKigqmp6fH9u/fzxhjrG3btmz58uVMJBIxxhiLi4tjysrK7MWLF4wxxnr06CGVsO7atYsZGhpy7wGwgIAA7n1xcTEDwI4fP85NCw8PZ87OzowxxvLz8xkAXvJU1cGDBxkAlpRUuV+dnJzYqlWrGGOM9e/fny1dupSpqKiwoqIidv/+fQaAO2nz9fWVSlhjY2OZgoIC97mampqy4cOHc/MrKiqYgYEB+/XXX2XGk5GRwbS0tHgnj7V58OABU1RUZHv37q22THl5Ofvqq6+Yq6srb7qpqSlTUVFh6urqTFVVlTuJlCQj1ZGVWAqFQvb3339z02bMmMEl5ZcuXWIAWE5Ojsz6vLy8WL9+/XjTJInHmjVreNPlSSyNjIzY3Llzq42/pu/w2+uvLrF88+YNMzAwYDExMay4uJhpamqyK1euSCWWLVq0YLt37+bVsXjxYubi4lLtuletWsW7uFDb/pVFVmIJgGVmZnJlNmzYwJo2bcq9P3ToEHv7Om1t8Vf3Ocm7XEhICDf/xo0bDABLS0tjjDE2ZMgQqe+sRElJCRMKhSwhIYE33dfXlw0ZMkT2TqmiLoll1WM4Ly+PAWDz5s3jpiUmJnIJuSSG2n4b3hYcHMwsLCx404KCgpiVlRV78+aNVPm7d+8yRUVF9uDBA970Hj16sB9//JExVvP+Ky4uZsrKyiw8PJyb9ubNG2ZkZMRWrlzJGPvfd+j06dNcmWPHjjEA3Ha4uLiwCRMm8Oru2LEjt2+fPHnCANSa7Ovo6PAutjBGieXnjhJL0pCoKyz5rDwuKqm9UB3K1RVjNQ8QpKKiAoFAgG7duiE6OhrPnj3DzZs3MWHCBLx+/Rq3bt1CTEwM2rdvD6FQCAC4cuUKFi1aBA0NDe41evRo5OXl4eXLl1zd9vb23P/V1dWhpaWFx48fc9OqdoOtS7wA4ObmhujoaDDGEBsbi4EDB8LGxgZxcXGIiYmBkZERLC0tuXjDwsJ48YrFYlRUVCA7O1tmvAKBACKRiBevxIMHD+Dh4YFBgwZh9OjR3PSq9Y8bN05quR07dqBx48Y1Dn4zceJEXL9+HXv27JGaN2PGDKSmpuLq1avcIDVfffUV1yW4tvVLmJmZ8e5NMzQ05LbTwcEBPXr0gJ2dHQYNGoStW7fWOkCQhLOzs1zlJB4/foyHDx+iR48edVqurpSVlTF8+HCEhoZi//79sLKy4n3WAPDixQtkZWXB19eXtx+XLFnC3c8IAHv37oWrqyvXRTMgIEBqYKma9q+8hEIhWrRoIXcd8sYP8D+nuixXdZ8ZGhoCABdTampqtZ9jZmYmXr58iV69evHWsXPnTql11FfVGJs2bQoAsLOzk5omiVve34aqXr16BVVVVd60QYMG4dWrV7CwsMDo0aNx6NAh7taAa9euoby8HFZWVrz1xMTEcNtf0/7LyspCaWkpXF1duWnKysro0KED0tLSqt3+tz+jtLQ0dOzYkVfexcWF+7+uri68vb0hFovRt29f7v7wt6mpqfF+5wkhpCEpNXQAhLwvNxeJq52n8P/3PRloqlZbpqqq5eJmda9fYABatmwJgUCAtLQ0DBgwQGp+WloamjRpwo0Y6u7uji1btiA2NhaOjo7Q0tLiks2YmBi4ublxyxYXFyMwMBADBw6UqrfqCZeysjJvnkAgQEVFBQDgzZs3OHHiBDf4jSSWt0+UqsarpKQEc3NzLt7t27fjypUrUFZWRqtWreDu7o7o6GgUFhZKxTt27FiZA91UHcClpnglHj58iO7du6Nz5868ezCBypNDCS0tLd48xhi2b9+OESNGcMnx2yZNmoSjR4/i3LlzaN68udR8fX19tGzZEgBgaWmJNWvWwMXFBWfPnkXPnj1rXH9VNW2noqIiIiMjkZCQgFOnTmHdunWYO3cukpKSuH1fHXV1dd57BQUFqQsFVe9HVFNTq7G+98nHxwcdO3bE9evX4ePjIzVfMirx1q1bpU6+FRUVAQCJiYkYNmwYAgMDIRaLoa2tjT179iAoKIhXXp7vUW1k1VHTRRd54peo+jnVZbmqMUnu65RsV02fpWQdx44dQ7NmzXjz3nXQoerIirGmuOX9bahKX19f6mKLsbEx0tPTcfr0aURGRmLChAlYtWoVYmJiUFxcDEVFRVy6dElqn2poaAB4f8dCTdsqj9DQUPj5+eHEiRPYu3cvAgICEBkZiU6dOnFlnj59iiZNmryXeAkhpL4osST/GkKV2r/OHcx1YaitivznJZB1WigAINJWRQdz3TrVWxs9PT306tULGzduxJQpU3gnLvn5+QgPD+cGwwEqWwD9/f2xf/9+7hEM7u7uOH36NOLj4zFt2jSurJOTE9LT07kk511ER0dDR0cHDg4OACqTkMGDByM8PByLFi2CSCTiyr569QobN27EgAEDuNEHu3btiqKiIgQHB3NJpLu7O1asWIHCwkKpeG/evFmveIHKlsru3bujXbt2CA0NlRoRsqb6Y2JikJmZCV9fX6l5jDH85z//waFDhxAdHV1rAichOUmVDKRR3+2TEAgEcHV1haurK+bPnw9TU1McOnQIU6dOhYqKCtdCWpsmTZogPz8fjDHuJLdq8qupqQkzMzNERUWhe3fZF1OUlZXlXl9NbG1tYWtri6tXr2Lo0KFS85s2bQojIyPcuXMHw4YNk1lHQkICTE1NuUGvAPAGNmlI8sT/Ppd7m729PaKiohAYGCg1r3Xr1mjUqBFyc3N5F3z+Cd7lt8HR0RH5+fkoLCyEjo4ON11NTQ19+/ZF3759MXHiRLRq1QrXrl2Do6MjysvL8fjxY3Tt2lVmnTXtvxYtWkBFRQXx8fEwNTUFUHmBJjk5uU7P8bSxsUFSUhJGjhzJTTt//rzM7XN0dMSPP/4IFxcX7N69m0sss7KyUFJSAkdHR7nXSwghHxIlluSzoqggwIK+rTH+t8sQALzkUjKW44K+raGoIJCxdP2sX78enTt3hlgsxpIlS2Bubo4bN25gxowZsLKywvz587my9vb20NHRwe7du3H06FEAlYna9OnTuURDYv78+ejTpw9MTEzw7bffQkFBAVeuXMH169exZMkSuWKLiIiQ6ga7dOlSREVFoVevXli5ciXatGmD7OxsBAQEQEFBAWvXruXK6ujowN7eHuHh4Vi/fj2AygeWDx48GKWlpbwT2FmzZqFTp06YNGkSRo0aBXV1ddy8eRORkZHcsrV58OAB3N3dYWpqip9//hkFBQXcvKpJcHW2bduGjh078kbflZg4cSJ2796NI0eOQFNTE/n5+QAqR5StekGgqKiIS9Tu3buHmTNnokmTJujcubNc2yCPpKQkREVF4csvv4SBgQGSkpJQUFAAGxsbAJXdPE+ePIn09HTo6enV+JgBd3d3FBQUYOXKlfj2229x4sQJHD9+nNeaunDhQowbNw4GBgbw9PREUVER4uPj8Z///IdbX1RUFFxdXdGoUSPeiXxdnTlzBqWlpdU+1zMwMBB+fn7Q1taGh4cHXr9+zY3iO3XqVFhaWiI3Nxd79uxB+/btcezYMRw6dOid43nfaov/fS9X1Y8//gg7OztMmDAB48aNg4qKCs6ePYtBgwZBX18f06dPx5QpU1BRUYEuXbrg+fPniI+Ph5aWFry8vN7XLqizd/ltcHR0hL6+PuLj49GnTx8AlSP5lpeXo2PHjhAKhfjtt9+gpqYGU1NT6OnpYdiwYRg5ciSCgoLg6OiIgoICREVFwd7eHl999VWt+2/8+PGYMWMGdHV1YWJigpUrV+Lly5cyL1RVZ/LkyfD29oazszNcXV0RHh6OGzduwMLCAgCQnZ2NLVu24Ouvv4aRkRHS09ORkZHBS0RjY2NhYWHB66ZNCCENie6xJJ8djzaG+HW4E0Ta/G6xIm1V/DrcCR5tDD/Iei0tLZGcnAwLCwsMHjwYpqam8PT0hJWVFeLj47luWEBlK1XXrl0hEAjQpUsXAJXJppaWFpydnXnd58RiMY4ePYpTp06hffv26NSpE4KDg7mr6fKQlVjq6+vj/Pnz6N69O8aOHQtzc3O4ubmhvLwcqamp3D1DEpJ5khZWXV1dtG7dGiKRCNbW1lw5e3t7xMTE4Pbt2+jatSscHR0xf/58GBkZyR1vZGQkMjM8JyyRAAAf8ElEQVQzERUVhebNm8PQ0JB71eb58+c4cOBAtSeBv/76K54/fw53d3devXv37uWVmz9/PgwNDWFkZIQ+ffpAXV0dp06dknp2Y31oaWnh3Llz6N27N6ysrBAQEICgoCB4enoCAEaPHg1ra2s4OzujSZMmiI+Pr7YuGxsbbNy4ERs2bICDgwMuXLiA6dOn88p4eXlhzZo12LhxI2xtbdGnTx9kZGRw84OCghAZGQljY+N6t5JIHqFQnVGjRiEkJAShoaGws7ODm5sbwsLCuBbkr7/+GlOmTMGkSZPQtm1bJCQkYN68efWK6X2qLf73vVxVVlZWOHXqFK5cuYIOHTrAxcUFR44cgZJS5bXkxYsXY968eVi+fDlsbGzg4eGBY8eO1WkdH8K7/DYoKirihx9+4B7VAgCNGzfG1q1b4erqCnt7e5w+fRr//e9/uWMzNDQUI0eOxLRp02BtbY3+/fsjOTmZ625b2/5bsWIFvvnmG4wYMQJOTk7IzMzEyZMn63Sh5bvvvsO8efMwc+ZMtGvXDnfv3sX48eO5+UKhELdu3cI333wDKysrjBkzBhMnTsTYsWO5Mr///jvvvnJCCGloAlbb6ByE/IOUlJQgOzsb5ubmUgM21FV5BcOF7Kd4XFQCA83K7q8foqWyJgsWLMDq1aul7pv5mC5fvowvvvgCBQUFUveSvW3btm2YMGEC9u7dW+OgN+TzlZOTA3Nzc6SkpEg9N5OQDyE/Px+2tra4fPlynS6ofcpu3LiBL774Ardv35bqqRAWFgZ/f388e/asYYIjDep9nicRUlfUFZZ8thQVBHBp8f5al95FYGAgzMzMcP78eXTo0EHqPsGPoaysDOvWras1qQQAX19f6OrqIi0tDWKx+KMO+EI+LZ07d+ZaEgn5kEQiEbZt24bc3NzPJrHMy8vDzp07pZJKDQ0NlJWVUUJBCGkQ1GJJPil0JY6Qf7aysjLk5OQAqBxl1NjYuGEDIuQzkpmZCaCyi3BDd20mDYPOk0hDohZLQggh742SktJ7GxGXEFI3dOwRQhoSDd5DCCGEEEIIIaReKLEkhBBCCCGEEFIvlFgSQgghhBBCCKkXSiwJIYQQQgghhNQLJZaEEEIIIYQQQuqFEktCCCGEEEIIIfVCiSUh5KNwd3eHv7+/3OVzcnIgEAiQmppabRkzMzMIBAIIBAI8e/as3jF+atzd3bntr2k/EUIIIYR8aJRYEvKJEQgEOHz4cJ2W2bNnDwQCAfr37/9BYpLHwYMHsXjxYrnLGxsbIy8vD23atKmx3KJFi5CXlwdtbW0AQHR0NAQCAXR0dFBSUsIrm5yczCViEpLysl75+fm85FXWy9vbGwCqnb9nzx5uXeXl5QgODoadnR1UVVWho6MDT09PxMfH8+IMCwvjlldQUIChoSG+++475ObmSu3TCxcuyL1PCSGEEEI+FKWGDoCQhvTgwQNERkaiV69eaNasWUOH80Hk5ORg+vTp6Nq1a4PGoaurW6fyioqKEIlEtZbT1NSUWU5TUxOHDh3CkCFDuGnbtm2DiYmJVIIGAOnp6dDS0uJNMzAwQHJyMsrLywEACQkJ+Oabb3hl1dTUuPKhoaHw8PDg1dG4cWMAAGMM33//PU6fPo1Vq1ahR48e+Pvvv7Fhwwa4u7tj//79vMRfS0sL6enpYIwhOzsbEyZMwKBBg5CUlMSV0dXVxd9//13rPiKEEEII+dCoxZJ81q5cuYKcnBxcvXr1g6+rqKgIw4YNg7q6OgwNDREcHCzVPdTMzAyLFy/GkCFDoK6ujmbNmmHDhg28+QAwYMAACAQC7n11ysvLMWzYMAQGBsLCwkJqfmFhIUaOHAkdHR0IhUJ4enoiIyOjxjolLXwnT56Eo6Mj1NTU8MUXX+Dx48c4fvw4bGxsoKWlhaFDh+Lly5fccrK2ddmyZfDx8YGmpiZMTEywZcsWbr48XWFr4uXlhe3bt3PvX716hT179sDLy0tmeQMDA4hEIt5LQUEBTZo04d5LkuOqZSUtpUBlEvl2HaqqqgCAffv24Y8//sDOnTsxatQomJubw8HBAVu2bMHXX3+NUaNG4cWLF1xdAoEAIpEIhoaG6Ny5M3x9fXHhwgVKJAkhhBDyj0SJJfnkMcbw5s0buV8FBQW4e/cucnNzcf36dQDAtWvXkJubi7t376KgoEDuuhhjcsc5depUxMfHIyIiApGRkYiNjcXly5elyq1atQoODg5ISUnB7NmzMXnyZERGRgKo7MoJVLaM5eXlce+rs2jRIhgYGMDX11fmfG9vb1y8eBERERFITEwEYwy9e/dGaWlprduzcOFCrF+/HgkJCbh37x4GDx6MNWvWYPfu3Th27BhOnTqFdevW1VhHUFAQnJ2dkZKSggkTJmD8+PFIT0+vdd3yGDFiBGJjY7nWyQMHDsDMzAxOTk7vpf662r17N6ysrNC3b1+pedOmTcOTJ0+4z/ltjx8/xqFDh6CoqAhFRcUPHSohhBBCSJ1RV1jyySstLcWyZcvqVcfLly95rVvymjNnDlRUVGotV1RUhB07dmD37t3o0aMHgMrk0MjISKqsq6srZs+eDQCwsrJCfHw8goOD0atXLzRp0gTA/1rGahIXF4dt27ZV2+KXkZGBiIgIxMfHo3PnzgCA8PBwGBsb4/Dhwxg0aFCN9S9ZsgSurq4AAF9fX/z444/IysriWka//fZbnD17FrNmzaq2jt69e2PChAkAgFmzZiE4OBhnz56FtbV1jeuWh4GBATw9PREWFob58+dj+/bt8PHxqbZ88+bNee9NTU1x48aNOq1zyJAhUonfzZs3YWJigtu3b8PGxkbmcpLpt2/f5qY9f/4cGhoaYIxxLb9+fn5QV1evU0yEEEIIIR8DtVgS8hHcuXMHpaWl6NChAzdNW1tbZgLl4uIi9T4tLa3aunNzc6GhocG9li1bhqKiIowYMQJbt26Fvr6+zOXS0tKgpKSEjh07ctP09PRgbW3Nrc/T05Or19bWlre8vb099/+mTZtCKBTyuts2bdoUjx8/rjbut+uQdP2sbZm68PHxQVhYGO7cuYPExEQMGzas2rKxsbFITU3lXn/++Wed1xccHMyrIzU1lXfxoC4t3JqamkhNTcXFixcRFBQEJycnLF26tM4xEUIIIYR8DNRiST55ysrKmDNnTp2Wyc/Pl9lC6ePjI9eAMVXX3dCMjIx4rZK6urrIyspCTk4Or9tlRUUFAEBJSUnu7qYhISF49eoVAOltrfpeIBBIzRcIBNw6q/Muy9SFp6cnxowZA19fX/Tt2xd6enrVljU3N+cG2nlXIpEILVu2lDnPysqq2gsEkulWVlbcNAUFBa4uGxsbZGVlYfz48di1a1e9YiSEEEII+RAosSSfPIFAIFd31KqUlGR/9ZWUlOpclzwsLCygrKyM5ORkmJiYAKjs6nj79m1069aNV/b8+fNS76t2oVRWVuZGKZXE/HYyIxQKce3aNd60gIAAFBUVYe3atTA2NkZFRQXKysqQlJTEdYV98uQJ0tPT0bp1awD45EfKVVJSwsiRI7Fy5UocP368QWP5/vvvMXToUPz3v/+Vus8yKCgIenp66NWrV7XLz549Gy1atMCUKVMa7D5RQgghhJDqUGJJPkvq6urQ0NCAlpYWnJyccPnyZfz9998f7P41TU1NeHl5YcaMGdDV1YWBgQEWLFgABQUF3jMVASA+Ph4rV65E//79ERkZif379+PYsWPcfDMzM0RFRcHV1RWNGjWCjo6O1PpUVVWlnv8oaY2TTLe0tES/fv0wevRobN68GZqampg9ezaaNWuGfv36vec90HAWL16MGTNm1NhaCVQOkPP2cy/19PTq1Cr97Nkz5Ofn86ZpampCXV0d33//Pfbv3w8vLy+px41ERERg//79NX7/jI2NMWDAAMyfPx9Hjx6VOyZCCCGEkI+BEkvyWdLW1oa/vz8UFRUhEAjQrl07lJeXV9uS+T6sXr0a48aNQ58+faClpYWZM2fi3r173OMoJKZNm4aLFy8iMDAQWlpaWL16NcRiMTc/KCgIU6dOxdatW9GsWTPk5OS8c0yhoaGYPHky+vTpgzdv3qBbt274888//xFdfN8XFRWVau8zrUrW/a6JiYno1KmT3Ov64YcfpKYtX74cs2fPhkAgwL59+7BmzRoEBwdjwoQJUFVVhYuLC6Kjo7mBkGoyZcoUuLi44MKFC7z7dQkhhBBCGpqA1WU0CUIaWElJCbKzs2Fubi6VkH1qXrx4gWbNmiEoKIh7HIiZmRn8/f15z3sk1aP9Vfm8T3Nzc6SkpKBt27YNHQ4hhJAG9G86TyKfHhoVlpCPJCUlBb///juysrJw+fJlboTSf1O304Ywa9YsaGho4Pnz5w0dykfn6ekpNVovIYQQQkhDoK6whHxEP//8M9LT06GiooJ27dohNjZWrm6aRLaYmBiUlpYCqLyX8XNTddReyaBQhBBCCCENgbrCkk8KdfEghBBCCJGNzpNIQ6KusIQQQgghhBBC6oUSS0IIIYQQQggh9UKJJSGEEEIIIYSQeqHEkhBCCCGEEEJIvVBiSQghhBBCCCGkXiixJIQQQgghhBBSL5RYEkI+Cnd3d/j7+8tdPicnBwKBAKmpqdWWMTMzg0AggEAgwLNnz+od46fg8OHDaNmyJRQVFeu0P/8tFi5ciLZt2zbY+ufNm4cxY8Y02Prfh+joaLmPmZs3b6J58+Z48eIFb7q7uzt37NV0jBJCCPl8UGJJyCdGIBDg8OHDdVpmz549EAgE6N+//weJSR4HDx7E4sWL5S5vbGyMvLw8tGnTpsZyixYtQl5eHrS1tQH876RZR0cHJSUlvLLJycncyfA/wbt8lmPHjsW3336Le/fu1Wl/fgqqXiiQ9fL29sb06dMRFRXVIPHl5+dj7dq1mDt3boOsvyG0bt0anTp1wurVq3nTDx48iAsXLjRQVIQQQv6JKLEkn7UHDx4gLCwMDx48aOhQPpicnBxMnz4dXbt2bdA4dHV1oampKXd5RUVFiEQiKCkp1VhOU1MTIpFIKlnU1NTEoUOHeNO2bdsGExMT+YP+hykuLsbjx48hFothZGRUp/1Z1Zs3b95zZO9HcnIy8vLykJeXhwMHDgAA0tPTuWlr166FhoYG9PT0GiS+kJAQdO7cGaampg2y/obyww8/4Ndff0VZWRk3TVdXF02aNGnAqAghhPzTUGJJPmtXrlxBTk4Orl69+sHXVVRUhGHDhkFdXR2GhoYIDg6W6h5qZmaGxYsXY8iQIVBXV0ezZs2wYcMG3nwAGDBgAAQCAfe+OuXl5Rg2bBgCAwNhYWEhNb+wsBAjR46Ejo4OhEIhPD09kZGRUWOdkhbBkydPwtHREWpqavjiiy/w+PFjHD9+HDY2NtDS0sLQoUPx8uVLbjlZ27ps2TL4+PhAU1MTJiYm2LJlCzdfnq6wNfHy8sL27du5969evcKePXvg5eUlVTYuLg5du3aFmpoajI2N4efnx+v6t2vXLjg7O3NJ7NChQ/H48WOpfRIVFQVnZ2cIhUJ07twZ6enpcscr2d6DBw+ie/fuEAqFcHBwQGJiIrcOSSL5xRdfQCAQIDo6Wq74Jd+rkSNHQktLi+vKKc9yNX1GAHD//n0MGTIEurq6UFdXh7OzM5KSkrj5R44cgZOTE1RVVWFhYYHAwEBeglJVkyZNIBKJIBKJoKurCwAwMDDgpmlra0t1hfX29kb//v2xbNkyNG3aFI0bN8aiRYtQVlaGGTNmQFdXF82bN0doaChvXffu3cPgwYPRuHFj6Orqol+/fsjJyanxM9qzZw/69u3Lm/bHH3/Azs4Oampq0NPTQ8+ePXn7MCQkBDY2NlBVVUWrVq2wcePGOu2/X3/9FS1atICKigqsra2xa9cu3vICgQAhISEYMGAAhEIhLC0tERERwSvz559/wsrKCmpqaujevbvUdt69exd9+/aFjo4O1NXVYWtriz///JOb36tXLzx9+hQxMTE17h9CCCGfN0osyb/Gmzdvqn2VlpZy5Z49e4a7d+8iNzcX169fBwBcu3YNubm5uHv3Lv766y+56q2rqVOnIj4+HhEREYiMjERsbCwuX74sVW7VqlVwcHBASkoKZs+ejcmTJyMyMhJAZYsOAISGhiIvL497X51FixbBwMAAvr6+Mud7e3vj4sWLiIiIQGJiIhhj6N27N29/VWfhwoVYv349EhISuJP0NWvWYPfu3Th27BhOnTqFdevW1VhHUFAQnJ2dkZKSggkTJmD8+PF1SsZqMmLECMTGxiI3NxcAcODAAZiZmcHJyYlXLisrCx4eHvjmm29w9epV7N27F3FxcZg0aRJXprS0FIsXL8aVK1dw+PBh5OTkwNvbW2qdc+fORVBQEC5evAglJSX4+PjUOe65c+di+vTpSE1NhZWVFYYMGYKysjJeonrgwAHk5eWhc+fOcsUPAD///DP3vZo3b57cy9X0GRUXF8PNzQ0PHjxAREQErly5gpkzZ6KiogIAEBsbi5EjR2Ly5Mm4efMmNm/ejLCwMCxdurTO+6UmZ86cwcOHD3Hu3DmsXr0aCxYsQJ8+faCjo4OkpCSMGzcOY8eOxf379wFUfp5isRiampqIjY1FfHw8NDQ04OHhUe2x/fTpU9y8eRPOzs7ctLy8PAwZMgQ+Pj5IS0tDdHQ0Bg4cCMYYACA8PBzz58/H0qVLkZaWhmXLlmHevHnYsWOHXPvv0KFDmDx5MqZNm4br169j7Nix+OGHH3D27FlebIGBgRg8eDCuXr2K3r17Y9iwYXj69CmAygR64MCB6Nu3L1JTUzFq1CjMnj2bt/zEiRPx+vVrnDt3DteuXcNPP/0EDQ0Nbr6Kigratm2L2NjY+nxMhBBC/u0YIZ+QV69esZs3b7JXr15JzVuwYEG1r99++02ucpJXVT/99FOtZWrz999/M2VlZbZ//35u2rNnz5hQKGSTJ0/mppmamjIPDw/est999x3z9PTk3gNghw4dqnWdsbGxrFmzZqygoIAxxpiXlxfr168fN//27dsMAIuPj+em/fXXX0xNTY3t27ev2nrPnj3LALDTp09z05YvX84AsKysLG7a2LFjmVgs5t67ublJbevw4cO59xUVFczAwID9+uuvjDHGsrOzGQCWkpJSbSympqYsODhYZnyFhYWsf//+LDAwkDHGWPfu3dnatWvZoUOHWNWfPl9fXzZmzBheHbGxsUxBQUHm94wxxpKTkxkAVlRUVO0+OXbsGANQbR2M8T9LyfaGhIRw82/cuMEAsLS0NMYYY4WFhQwAO3v2bJ3iNzU1Zf379+eVkXe5mj6jzZs3M01NTfbkyROZ29ejRw+2bNky3rRdu3YxQ0PDaveJRNXPsaoFCxYwBwcH7r2XlxczNTVl5eXl3DRra2vWtWtX7n1ZWRlTV1dnv//+OxeDtbU1q6io4Mq8fv2aqampsZMnT8qMJyUlhQFgubm53LRLly4xACwnJ0fmMi1atGC7d+/mTVu8eDFzcXFhjNW+/zp37sxGjx7NmzZo0CDWu3dv7j0AFhAQwL0vLi5mANjx48cZY4z9+OOPrHXr1rw6Zs2axdu3dnZ2bOHChTJjkBgwYADz9vbmTZPnGCWEfFw1nScR8qFRiyX57AwcOLDG+R/i/q07d+6gtLQUHTp04KZpa2vD2tpaqqyLi4vU+7S0tGrrzs3NhYaGBvdatmwZioqKMGLECGzduhX6+voyl0tLS4OSkhI6duzITdPT04O1tTW3Pk9PT65eW1tb3vL29vbc/5s2bQqhUMjrbtu0aVNed1FZqtYhEAggEolqXaYufHx8EBYWhjt37iAxMRHDhg2TKnPlyhWEhYXx9qFYLEZFRQWys7MBAJcuXULfvn1hYmICTU1NuLm5AQDXGiprewwNDQGgzttT1zrkiR8Ar6WtLsvV9BmlpqbC0dGR67YqK7ZFixbx1jF69Gjk5eXxuknXl62tLRQU/vfnrGnTprCzs+PeKyoqQk9Pj4v7ypUryMzMhKamJheXrq4uSkpKkJWVJXMdr169AgCoqqpy0xwcHNCjRw/Y2dlh0KBB2Lp1KwoLCwEAL168QFZWFnx9fXnbv2TJEm4dte2/tLQ0uLq68qa5urpK/R5U/YzU1dWhpaXFbWtaWhrvGAekf2P8/PywZMkSuLq6YsGCBTJvDVBTU3uvnxkhhJB/n5pHxSDkEzJnzpxq51Ud2MXe3h6NGzfm3X8n4ePjw53MS/zTH+lgZGTEuw9RV1cXWVlZyMnJ4d0PJulep6SkJHd305CQEO6EWllZmTev6nuBQCA1XyAQcOuszrssUxeenp4YM2YMfH190bdvX5kXDYqLizF27Fj4+flJzTMxMcGLFy8gFoshFosRHh6OJk2aIDc3F2KxWKrb5Nv7BECdt6euddQWv4S6uvo7LVfTZ6SmplbTpqC4uBiBgYEyL+ZUTdDqS1aMNcVdXFyMdu3aITw8XKqu6gakkVygKSws5MooKioiMjISCQkJXNfvuXPnIikpCUKhEACwdetWqcROUVERQO37T171PY5GjRoFsVjMdWFfvnw5goKC8J///Icr8/TpU7Ro0eK9xEsIIeTfiRJL8q+hoqIid9nqRhpVUlKSOkmrS73VsbCwgLKyMpKTk7mT9ufPn+P27dvo1q0br+z58+el3tvY2HDvlZWVUV5ezou5ZcuWvGWEQiGuXbvGmxYQEICioiKsXbsWxsbGqKioQFlZGZKSktC5c2cAwJMnT5Ceno7WrVsDAJo1a1bPLW9YSkpKGDlyJFauXInjx4/LLOPk5ISbN29K7UOJa9eu4cmTJ1ixYgWMjY0BABcvXvxgMddVbfG/7+Wqsre3R0hICJ4+fSqz1c3JyQnp6en1WseH4OTkhL1798LAwABaWlpyLdOiRQtoaWnh5s2bsLKy4qYLBAK4urrC1dUV8+fPh6mpKQ4dOoSpU6fCyMgId+7ckdlSDtS+/2xsbBAfH88bcCo+Pp47PuVhY2MjNZjP278xQOXjfcaNG4dx48bhxx9/xNatW3mJ5fXr1/Htt9/KvV5CCCGfH+oKSz5L6urq0NDQgJGREfr06QMjIyNoaGhIteq8L5qamvDy8sKMGTNw9uxZ3LhxA76+vlBQUJB6TEZ8fDxWrlyJ27dvY8OGDdi/fz8mT57MzTczM0NUVBTy8/O5bndvU1VVRZs2bXivxo0bQ1NTE23atIGKigosLS3Rr18/jB49GnFxcbhy5QqGDx+OZs2aoV+/fh9kPzSExYsXo6CgAGKxWOb8WbNmISEhAZMmTUJqaioyMjJw5MgRbhAbExMTqKioYN26dbhz5w4iIiL+Uc+PrC3+971cVUOGDIFIJEL//v0RHx+PO3fu4MCBA9xItvPnz8fOnTsRGBiIGzduIC0tDXv27EFAQEC9trm+hg0bBn19ffTr1w+xsbHIzs5GdHQ0/Pz8uAF+3qagoICePXsiLi6Om5aUlIRly5bh4sWLyM3NxcGDB1FQUMBdCAoMDMTy5cvxyy+/4Pbt27h27RpCQ0O5Z0LWtv9mzJiBsLAw/Prrr8jIyMDq1atx8OBBTJ8+Xe5tHTduHDIyMjBjxgykp6dj9+7dCAsL45Xx9/fHyZMnkZ2djcuXL+Ps2bO8i1k5OTl48OABevbsKfd6CSGEfH4osSSfJW1tbfj7+2P06NFwdnbG6NGj4e/vD21t7Q+2ztWrV8PFxQV9+vRBz5494erqyj2GoKpp06bh4sWLcHR0xJIlS7B69WpeUhQUFITIyEgYGxvD0dGxXjGFhoaiXbt26NOnD1xcXMAYw59//inVavspU1FRgb6+vlQCL2Fvb4+YmBjcvn0bXbt2haOjI+bPnw8jIyMAlV0jw8LCsH//frRu3RorVqzAzz///DE3oUa1xf++l6tKRUUFp06dgoGBAXr37g07OzusWLGC6+opFotx9OhRnDp1Cu3bt0enTp0QHBzc4M+BFAqFOHfuHExMTDBw4EDY2NjA19cXJSUlNbZgjho1Cnv27OG6mWppaeHcuXPo3bs3rKysEBAQgKCgIHh6enLlQ0JCEBoaCjs7O7i5uSEsLAzm5uYAat9//fv3x9q1a/Hzzz/D1tYWmzdvRmhoKNzd3eXeVhMTExw4cACHDx+Gg4MDNm3ahGXLlvHKlJeXY+LEibCxsYGHhwesrKx4j0X5/fff8eWXXzb450YIIeSfTcDY/4+LTsgnoKSkBNnZ2TA3N3+v92g1hBcvXqBZs2YICgriHgdiZmYGf3//f/x9nf8UtL/Ix8QYQ8eOHTFlyhQMGTKkocP5KN68eQNLS0vs3r1baiChnJwcmJubIyUlhfdsUUJIw/k3nSeRTw+1WBLykaSkpOD3339HVlYWLl++zN139W/qdtoQZs2aBQ0NDTx//ryhQyH/cgKBAFu2bEFZWVlDh/LR5ObmYs6cOVJJpaenp9RI0YQQQj5vNHgPIR/Rzz//jPT0dKioqKBdu3aIjY2t9nEgpHYxMTEoLS0FUHkfKyEfWtu2bT+r1rmWLVvKHHyp6ojRVUcRJoQQ8vmirrDkk0JdPAghhBBCZKPzJNKQqCssIYQQQgghhJB6ocSSfJKooZ0QQgghhI/Oj0hDosSSfFIkj8F4+fJlA0dCCCGEEPLPIjk/+jc9Nox8OmjwHvJJUVRUROPGjfH48WMAlc+jq+75hIQQQgghnwPGGF6+fInHjx+jcePG3PNwCfmYaPAe8slhjCE/Px/Pnj1r6FAIIYQQQv4xGjduDJFIRBfdSYOgxJJ8ssrLy7lHTRBCCCGEfM6UlZWppZI0KEosCSGEEEIIIYTUCw3eQwghhBBCCCGkXiixJIQQQgghhBBSL5RYEkIIIYQQQgipF0osCSGEEEIIIYTUCyWWhBBCCCGEEELqhRJLQgghhBBCCCH1QoklIYQQQgghhJB6+T+HYC4GJIY60wAAAABJRU5ErkJggg==","text/plain":["<Figure size 1000x600 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["plot_metrics_vs_shots(\n","    metrics_df,\n","    models,\n","    markers,\n","    [\"meteor\", \"eval_time\"],\n","    [\"METEOR\", \"Mean Inference Time (seconds)\"],\n","    log_scales=[False, True],\n",")"]},{"cell_type":"code","execution_count":76,"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_shots(\n","    metrics_df,\n","    models,\n","    markers,\n","    [\"rouge_l\", \"bleu_1\"],\n","    [\"Rourge-L\", \"BLUE-1\"],\n",")"]},{"cell_type":"code","execution_count":77,"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_shots(\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":78,"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_shots(\n","    metrics_df,\n","    models,\n","    markers,\n","    [\"meteor\", \"total_repetitions\"],\n","    [\"METEOR\", \"Mean Total Repetitions\"],\n",")"]},{"cell_type":"code","execution_count":79,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["### Analyzing: Qwen/Qwen2-72B-Instruct/epochs-01\n","*** Found 0 rows with total_repetitions > 50 for Qwen/Qwen2-72B-Instruct/epochs-01\n","\n","*** Found 0 rows with output_tokens >= 300 for Qwen/Qwen2-72B-Instruct/epochs-01\n","\n","*** Found 1 rows with incomplete translations for Qwen/Qwen2-72B-Instruct/epochs-01\n","--------------------------------------------------\n","chinese: 天地会的会众多是江湖豪杰，赌钱酗酒，乃是天性，向来不以为非，总舵主也就不再理会，向他凝视片刻，道：“你愿不愿拜我为师？”\n","--------------------------------------------------\n","english: Since most members of the Society came from a travelling background in which gambling and drunken brawling were accepted as normal behaviour, the Helmsman was inclined to turn a blind eye on these matters. He looked at Trinket intently for some moments as if trying to make his mind up about something. 'Would you like to be my apprentice?'\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-01: The Triads were mostly made up of men who had spent their lives in the world of the江湖, and gambling and drinking were second nature to them. The Helmsman had long since given up trying to stop them. He looked at Trinket for a moment and then said, 'Would you like to be my apprentice?'\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-01: 1\n","### Analyzing: Qwen/Qwen2-72B-Instruct/epochs-02\n","*** Found 0 rows with total_repetitions > 50 for Qwen/Qwen2-72B-Instruct/epochs-02\n","\n","*** Found 0 rows with output_tokens >= 300 for Qwen/Qwen2-72B-Instruct/epochs-02\n","\n","*** Found 0 rows with incomplete translations for Qwen/Qwen2-72B-Instruct/epochs-02\n","### Analyzing: Qwen/Qwen2-72B-Instruct/epochs-03\n","*** Found 0 rows with total_repetitions > 50 for Qwen/Qwen2-72B-Instruct/epochs-03\n","\n","*** Found 0 rows with output_tokens >= 300 for Qwen/Qwen2-72B-Instruct/epochs-03\n","\n","*** Found 2 rows with incomplete translations for Qwen/Qwen2-72B-Instruct/epochs-03\n","--------------------------------------------------\n","chinese: 这想象力是龙门能跳狗洞能钻的，一无清规戒律。\n","--------------------------------------------------\n","english: With the imagination completely free from all fetters, gossip can leap through the dragon's gate and squeeze through the dog's den.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-03: This imagination knows no bounds, jumping over the龙门(temple gate) one minute and burrowing through a doghole the next.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-03: 1\n","--------------------------------------------------\n","chinese: 三闷儿爬起来，抢了一把三齿要砍我，别人劝开了。\n","--------------------------------------------------\n","english: He got up, grabbed a pitchfork, and tried to stab me, but somebody stopped him.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-03: Three闷got up, grabbed a pitchfork, and tried to cut me with it, but others held him back.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-03: 1\n","### Analyzing: Qwen/Qwen2-72B-Instruct/epochs-04\n","*** Found 0 rows with total_repetitions > 50 for Qwen/Qwen2-72B-Instruct/epochs-04\n","\n","*** Found 0 rows with output_tokens >= 300 for Qwen/Qwen2-72B-Instruct/epochs-04\n","\n","*** Found 11 rows with incomplete translations for Qwen/Qwen2-72B-Instruct/epochs-04\n","--------------------------------------------------\n","chinese: 两人又回到方才那棚里，不料人都散了，那床也挪开了，剩几个人在地上收拾东西。\n","--------------------------------------------------\n","english: The two returned to the first set only to discover that everyone had gone. Even the bed had been taken away, leaving only a few workers behind to straighten up the remaining items on set.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-04: They returned to the makeshift棚that they had used earlier, only to find that everyone had already packed up and gone. The bed had been taken down and put away and only a few people were left on the set, busily putting things away.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-04: 1\n","--------------------------------------------------\n","chinese: 红色联合的红卫兵们退后一段距离，将那个挂在高处的躯体当靶子练习射击，密集的子弹对她来说已柔和如雨，不再带来任何感觉。\n","--------------------------------------------------\n","english: The Red Guards backed up some distance and began to use the impaled body for target practice. For her, the dense storm of bullets was now no different from a gentle rain, as she could no longer feel anything.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-04: The Red Union Red Guards stepped back some distance and used her body, hanging high in the air, as a target for shooting practice. The密集的子弹flew around her like rain, soft and gentle, incapable of causing any sensation.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-04: 1\n","--------------------------------------------------\n","chinese: 好像是在一九六几年吧，两个美国人在调试一个高精度卫星接收天线时意外地发现了宇宙背景辐射……”\n","--------------------------------------------------\n","english: I think it was back in the sixties when two Americans accidentally discovered the radiation when they were testing a supersensitive satellite reception antenna—'\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-04: I think it was sometime in the sixties when two engineers调试ed a highly sensitive satellite antenna and accidentally discovered the cosmic microwave background....'\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-04: 1\n","--------------------------------------------------\n","chinese: 王琦瑶从此不再去片厂了，她是想把这事淡忘，最好是没发生过。\n","--------------------------------------------------\n","english: After that, Wang Qiyao stopped going. She wanted to forget the whole affair—that it had ever happened.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-04: Wang Qiyao stopped going to the film studio. She wanted to forget the whole thing,最好是没发生过|as if it had never happened.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-04: 1\n","--------------------------------------------------\n","chinese: 父亲只见过一次真正的秋水，那时候高粱即将收割，墨水河水暴涨，堤坝决裂，洪水灌进了田地和村庄。\n","--------------------------------------------------\n","english: He had only really seen autumn water once in his life. The sorghum was ready for harvest when the Black Water River rose and burst its banks, flooding both the fields and the village.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-04: Father had seen the black water of the墨water River, swollen by an autumn rain, breach its banks and flood the fields and the village.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-04: 1\n","--------------------------------------------------\n","chinese: 疯狂如同无形的洪水，将城市淹没其中，并渗透到每一个细微的角落和缝隙。\n","--------------------------------------------------\n","english: A flood of madness drowned the city and seeped into every nook and cranny.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-04: The insane flooded the city and渗透d into every crack and crevice.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-04: 1\n","--------------------------------------------------\n","chinese: 这时，她倒平静下来，心情也松弛了，等那化妆师结束工作走开时，她甚至还生出几分幽默感同吴佩珍开玩笑。 吴佩珍说她简直像是嫦娥下凡，她就说嫦娥也是月饼盒上的嫦娥，于是两人都笑。\n","--------------------------------------------------\n","english: It was then that she began to calm down and her tensions eased. By the time the makeup man finished his job, she had even started to regain her sense of humor and joked around a bit with Wu Peizhen, who remarked that Wang Qiyao looked like the Lady in the Moon descending into the secular world, whereupon Wang Qiyao quipped that if she were a Lady in the Moon, she was the kind whose image was found on boxes of mooncakes. The two of them had a good laugh.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-04: Wu Peizhen's comment that she looked like the fairy嫦娥(Chang'e)who had descended from the moon made her laugh. She responded that she looked more like the嫦娥on the top of a box of mooncakes.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-04: 1\n","--------------------------------------------------\n","chinese: 三闷儿爬起来，抢了一把三齿要砍我，别人劝开了。\n","--------------------------------------------------\n","english: He got up, grabbed a pitchfork, and tried to stab me, but somebody stopped him.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-04: He got up and grabbed a pitchfork to cut me with, but people劝劝urged him not to and finally got him to put it down.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-04: 1\n","--------------------------------------------------\n","chinese: 她紧跟形势高喊口号，终于得到了一点报偿，在后来的“复课闹革命”中重新走上了讲台。\n","--------------------------------------------------\n","english: Her attempts to chase the political winds and shout the right slogans finally paid off, and later, during the 'Return to Class, Continue the Revolution' phase, she went back to teaching.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-04: She shouted slogans loudly and紧跟the形势, and was finally rewarded. When, sometime later, the 'revolutionary students' demanded that their professors return to the classroom, she was allowed back onto the stage.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-04: 1\n","--------------------------------------------------\n","chinese: “这种看法是片面的。” 叶哲泰平静地说。\n","--------------------------------------------------\n","english: 'That is a very one-sided view,' Ye said calmly.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-04: 'That kind of understanding is片面的,' Ye said calmly. The word he chose was commonly translated as 'one-sided,' but it could also mean 'limited,' or even 'superficial.'\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-04: 1\n","--------------------------------------------------\n","chinese: 高粱挺拔的秆子，排成密集的栅栏，模模糊糊地隐藏在气体的背后，穿过一排又一排，排排无尽头。\n","--------------------------------------------------\n","english: Erect stalks of sorghum formed dense barriers behind a wall of vapour. Each barrier led to another, seemingly endless.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-04: Ranks of sorghum stalks, like a tightly packed fence, were hidden模糊lybehind the curtain of gas.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-04: 1\n","### Analyzing: Qwen/Qwen2-72B-Instruct/epochs-05\n","*** Found 2 rows with total_repetitions > 50 for Qwen/Qwen2-72B-Instruct/epochs-05\n","三闷儿爬起来，抢了一把三齿要砍我，别人劝开了。\n","================================================================================\n","He got up, grabbed a pitchfork, and tried to stab me, but somebody stopped him.\n","================================================================================\n","Three闷got up and grabbed a three-pronged fork to cut me with, but people劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(72, 352), match='劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝>\n","Group 1 found at 72-212: `劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝`\n","Group 2 found at 212-352: `劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝`\n","Group 3 found at 212-352: `劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝`\n","(0, 280, 280)\n","高粱深处，蛤蟆的叫声忧伤，蝈蝈的唧唧凄凉，狐狸的哀鸣悠怅。\n","================================================================================\n","From deep in the sorghum came the melancholy croaks of toads, the dreary chirps of grasshoppers, and the plaintive howls of foxes.\n","================================================================================\n","DEEP IN THE SORGHUM, THE frogs' croaks were sad, the crickets' chirps凄凉凄凉= melancholic凄凉= sad, depressed, gloomy凄凉= bleak, desolate, deserted凄凉= desolate, deserted, bleak, gloomy, sad, depressed, disconsolate, dispirited, disheartened, hopeless, despairing, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless,\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(234, 278), match=', hopeless, despairing, hopeless, despairing'>\n","Group 1 found at 234-256: `, hopeless, despairing`\n","Group 2 found at 256-278: `, hopeless, despairing`\n","Group 3 found at 256-278: `, hopeless, despairing`\n","<re.Match object; span=(278, 1188), match=', pessimistic, hopeless, despairing, pessimistic,>\n","Group 1 found at 278-733: `, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing`\n","Group 2 found at 733-1188: `, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing`\n","Group 3 found at 733-1188: `, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing`\n","(0, 954, 954)\n","\n","*** Found 2 rows with output_tokens >= 300 for Qwen/Qwen2-72B-Instruct/epochs-05\n","--------------------------------------------------\n","chinese: 三闷儿爬起来，抢了一把三齿要砍我，别人劝开了。\n","--------------------------------------------------\n","english: He got up, grabbed a pitchfork, and tried to stab me, but somebody stopped him.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-05: Three闷got up and grabbed a three-pronged fork to cut me with, but people劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝\n","--------------------------------------------------\n","output_tokens-Qwen/Qwen2-72B-Instruct/epochs-05: 300\n","--------------------------------------------------\n","chinese: 高粱深处，蛤蟆的叫声忧伤，蝈蝈的唧唧凄凉，狐狸的哀鸣悠怅。\n","--------------------------------------------------\n","english: From deep in the sorghum came the melancholy croaks of toads, the dreary chirps of grasshoppers, and the plaintive howls of foxes.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-05: DEEP IN THE SORGHUM, THE frogs' croaks were sad, the crickets' chirps凄凉凄凉= melancholic凄凉= sad, depressed, gloomy凄凉= bleak, desolate, deserted凄凉= desolate, deserted, bleak, gloomy, sad, depressed, disconsolate, dispirited, disheartened, hopeless, despairing, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless,\n","--------------------------------------------------\n","output_tokens-Qwen/Qwen2-72B-Instruct/epochs-05: 300\n","\n","*** Found 24 rows with incomplete translations for Qwen/Qwen2-72B-Instruct/epochs-05\n","--------------------------------------------------\n","chinese: 王琦瑶到家后，她母亲已炖了鸡汤和红枣桂圆汤，什么话也没有地端给她喝，也不看那孩子一眼，就当没这个人似的。\n","--------------------------------------------------\n","english: When Wang Qiyao came home the next day, her mother had already prepared a pot of chicken broth and the customary bowl of soup with red jujube and longan, which was supposed to be so nourishing for new mothers. She handed the bowl to her daughter in silence. She did not bother to even look at her granddaughter; it was as if the child did not exist.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-05: By the time Wang Qiyao got home, her mother had already prepared a chicken soup and a红枣桂圆汤' soup with红枣' and桂圆' in it for her, which she served to her wordlessly. She completely ignored the baby, as if the child did not even exist.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-05: 1\n","--------------------------------------------------\n","chinese: 东北乡地势低洼，往往秋水泛滥，高粱高秆防涝，被广泛种植，年年丰产。\n","--------------------------------------------------\n","english: Northeast Gaomi Township is largely swampy land that is flooded by autumn rains; but since the tall sorghum stalks resist waterlogging, it was planted everywhere and invariably produced a bumper crop.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-05: Northeast乡, with its low-lying land, suffered from autumn floods, and since high粱, a tall grain that grows well in marshy areas, was planted widely, there were often bumper crops.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-05: 1\n","--------------------------------------------------\n","chinese: 红色联合的红卫兵们退后一段距离，将那个挂在高处的躯体当靶子练习射击，密集的子弹对她来说已柔和如雨，不再带来任何感觉。\n","--------------------------------------------------\n","english: The Red Guards backed up some distance and began to use the impaled body for target practice. For her, the dense storm of bullets was now no different from a gentle rain, as she could no longer feel anything.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-05: The Red Union Red Guards stepped back some distance and used her body, hanging high, as a target for shooting practice. The密集的子弹now fell on her like a soft rain, and she felt nothing.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-05: 1\n","--------------------------------------------------\n","chinese: 他的手始终紧扯着余司令的衣角，一半是自己行走，一半是余司令牵着前进，他竟觉得有些瞌睡上来，脖子僵硬，眼珠子生涩呆板。 父亲想，只要跟着罗汉大爷去墨水河，就没有空手回来的道理。\n","--------------------------------------------------\n","english: Still gripping tightly to Commander Yu's coat-tail, he was pulled along, his feet barely touching the ground. But he was getting sleepy. His neck felt stiff, his eyes were growing dull and listless, and his only thought was that as long as he could tag along behind Uncle Arhat to the Black Water River he'd never come back empty-handed.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-05: Granddad kept a tight grip on Commander Yu's coat, moving under his own power but also being pulled forward, which made him so drowsy he could barely keep his stiff,涩at, unblinking eyes open. He mused that if he followed Uncle Arhat to the Black Water River, he wouldn't return empty-handed.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-05: 1\n","--------------------------------------------------\n","chinese: 王文义忍着咳嗽说，“嗓子眼儿发痒……”\n","--------------------------------------------------\n","english: Wang Wenyi stifled a cough. 'My throat itches. . . .'\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-05: '全域' Wang said, his coughs becoming more restrained. 'My throat itches...'\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-05: 1\n","--------------------------------------------------\n","chinese: 父亲只见过一次真正的秋水，那时候高粱即将收割，墨水河水暴涨，堤坝决裂，洪水灌进了田地和村庄。\n","--------------------------------------------------\n","english: He had only really seen autumn water once in his life. The sorghum was ready for harvest when the Black Water River rose and burst its banks, flooding both the fields and the village.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-05: Father had seen the black waters of the墨water River, swollen by a late summer rain, breach its banks and flood the fields and villages.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-05: 1\n","--------------------------------------------------\n","chinese: 人家夫妇敦伦，我们无伦可言，只好敦友谊。\n","--------------------------------------------------\n","english: Married couples have a code of ethics to strengthen, and we don't have that, so we can only strengthen our friendship.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-05: To them it's a question of夫妇敦伦—strengthening the marriage bond. For us it's just a question of strengthening our friendship.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-05: 1\n","--------------------------------------------------\n","chinese: 闷来时敛额，行去几回眸。\n","--------------------------------------------------\n","english: Yet, as my brow contracted with new care, Was there not one who, parting, turned to stare?\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-05: Bored to tears, he would furrow his brow And stalk off, turning频频, on the way.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-05: 1\n","--------------------------------------------------\n","chinese: 她的光艳照人里有一些天真，也有一些沧桑，杂糅在一起，是哀绝的美。\n","--------------------------------------------------\n","english: There was an innocence about her heavy makeup and also a certain world-weariness, blended together to create a desolate kind of beauty.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-05: There was a bit of innocence in her glamorous aura, but also a trace of沧桑. Altogether it was a recipe for exquisite melancholy.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-05: 1\n","--------------------------------------------------\n","chinese: 这时，她倒平静下来，心情也松弛了，等那化妆师结束工作走开时，她甚至还生出几分幽默感同吴佩珍开玩笑。 吴佩珍说她简直像是嫦娥下凡，她就说嫦娥也是月饼盒上的嫦娥，于是两人都笑。\n","--------------------------------------------------\n","english: It was then that she began to calm down and her tensions eased. By the time the makeup man finished his job, she had even started to regain her sense of humor and joked around a bit with Wu Peizhen, who remarked that Wang Qiyao looked like the Lady in the Moon descending into the secular world, whereupon Wang Qiyao quipped that if she were a Lady in the Moon, she was the kind whose image was found on boxes of mooncakes. The two of them had a good laugh.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-05: Wu Peizhen's comment that she looked like the fairy嫦娥(C嫦娥ng Er) who had descended from the moon seemed to put her in a lighthearted mood and she laughed, 'C嫦娥ng Er? She's only C嫦娥ng Er from the mooncake box.' They both laughed.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-05: 1\n","--------------------------------------------------\n","chinese: “很好。” 潘寒点点头，汪淼注意到他眼中放出兴奋的光来。\n","--------------------------------------------------\n","english: 'Very good,' Pan said. Wang noticed his eyes sparkling with excitement.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-05: 'Excellent,' Pan寒 said, and Wang noticed a glint of excitement in his eyes.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-05: 1\n","--------------------------------------------------\n","chinese: 我说：我不会讲汉话哟！\n","--------------------------------------------------\n","english: I said, I'm hopeless at speaking Mandarin.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-05: I said, I don't speak Han话.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-05: 1\n","--------------------------------------------------\n","chinese: 夜色灰葡萄，金风串河道，宝蓝色的天空深邃无边，绿色的星辰格外明亮。 北斗勺子星——北斗主死，南斗簸箕星——南斗司生、八角玻璃井——缺了一块砖，焦灼的牛郎要上吊，忧愁的织女要跳河…… 都在头上悬着。\n","--------------------------------------------------\n","english: On that grey-purple night a golden breeze followed the course of the river. The sapphire-blue sky was deep and boundless, green-tinted stars shone brightly in the sky: the ladle of Ursa Major (signifying death), the basket of Sagittarius (representing life); Octans, the glass well, missing one of its tiles; the anxious Herd Boy (Altair), about to hang himself; the mournful Weaving Girl (Vega), about to drown herself in the river. . . .\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-05: The night was the colour of grey grapes, and the winds were golden as they blew down the rivers of space, where the sky was a deep, dark blue, boundless and infinite. The green stars shone brightly, including the Big Dipper – death's harbinger – and the Southern Ladle – the bearer of life; the eight-pointed well of glass – one of whose tiles was missing – and the焦虑oxherd about to hang himself, and the忧愁ful maiden about to jump into the river – all were suspended overhead.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-05: 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/Qwen2-72B-Instruct/epochs-05: In my eyes, brotherhood was the great friendship among people of the江湖—heroic outlaws.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-05: 1\n","--------------------------------------------------\n","chinese: 有一次，她放下书，看到大凤把纳着的鞋底放到膝上，呆呆地看着灯花。\n","--------------------------------------------------\n","english: One time, she put down her book and saw that Feng was holding the cloth shoe she was stitching over her knee and staring into the kerosene lamp without moving.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-05: One time, she put down her book and saw Feng put the piece of shoe sole she had been sewing onto her knee and stare呆呆地 at the lamp.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-05: 1\n","--------------------------------------------------\n","chinese: 那位大嫂就把她捆起来，先捆紧双手，再把绳子在脖子和胳膊上扣住。\n","--------------------------------------------------\n","english: The woman tied her up, starting from her hands and then running the rope over her neck and arms to make a knot.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-05: The sister-in-law捆绑 tied her up, binding her hands first, then securing the rope around her neck and arms.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-05: 1\n","--------------------------------------------------\n","chinese: 贾蓉先咬定牙不依，只说：“明日告诉族中的人评评理。”\n","--------------------------------------------------\n","english: But Jia Rong feigned the most obdurate incorruptibility and insisted that he would lay the matter next day before a council of the whole clan and see that justice was done.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-05: But Jia Rong咬定牙and flatly refused to accept this decision, saying that he would appeal to the other members of the clan and ask them to decide who was right.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-05: 1\n","--------------------------------------------------\n","chinese: 三闷儿爬起来，抢了一把三齿要砍我，别人劝开了。\n","--------------------------------------------------\n","english: He got up, grabbed a pitchfork, and tried to stab me, but somebody stopped him.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-05: Three闷got up and grabbed a three-pronged fork to cut me with, but people劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-05: 1\n","--------------------------------------------------\n","chinese: 他在这夜晚里嗅到了他所熟悉的气息。 灯光令他亲切，是驻进他身心里的那种。\n","--------------------------------------------------\n","english: He took in the familiar scents of the city and soaked up the evening scene.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-05: The smell in the air that night was familiar, and the lights gave him a feeling of kinship, as though they had钻edinto his body and soul.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-05: 1\n","--------------------------------------------------\n","chinese: 奶奶嫁到单家，其实也是天意。 那天，我奶奶在秋千架旁与一些尖足长辫的大闺女耍笑游戏，那天是清明节，桃红柳绿，细雨霏霏，人面桃花，女儿解放。\n","--------------------------------------------------\n","english: Grandma's marriage into the Shan family was the will of heaven, implemented on a day when she and some of her playmates, with their tiny bound feet and long pigtails, were playing beside a set of swings. It was Qingming, the day set aside to attend ancestral graves; peach trees were in full red bloom, willows were green, a fine rain was falling, and the girls' faces looked like peach blossoms. It was a day of freedom for them.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-05: Her marriage into the Shan family was also decreed by heaven. On that day, my grandma, a long-haired beauty with bound feet, was laughing and frolicking with some girls under the peach tree near the swing架 when it happened; it was Qingming Festival, the day when peach blossoms are at their pinkest and willow leaves are greenest, when a fine rain falls from the sky and liberates the faces of young maidens.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-05: 1\n","--------------------------------------------------\n","chinese: “这种看法是片面的。” 叶哲泰平静地说。\n","--------------------------------------------------\n","english: 'That is a very one-sided view,' Ye said calmly.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-05: 'That kind of understanding is片面的,' Ye said calmly. The word Ye used was '片面的', which meant 'one-sided' or 'limited,' but the translator at the struggle session interpreted it as 'totally wrong,' which was how the crowd understood it.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-05: 1\n","--------------------------------------------------\n","chinese: 高粱挺拔的秆子，排成密集的栅栏，模模糊糊地隐藏在气体的背后，穿过一排又一排，排排无尽头。\n","--------------------------------------------------\n","english: Erect stalks of sorghum formed dense barriers behind a wall of vapour. Each barrier led to another, seemingly endless.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-05: Ranks of sorghum stalks, like a tightly packed fence, were hidden模糊lybehind the curtain of gas, stretching off into infinity.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-05: 1\n","--------------------------------------------------\n","chinese: 这种弄堂的房屋看上去是鳞次栉比，挤挤挨挨，灯光是如豆的一点一点，虽然微弱，却是稠密，一锅粥似的。\n","--------------------------------------------------\n","english: Apartment structures are built virtually on top of one another, cheek by jowl, breathing down upon each other's necks. Their lights are like tiny glowing peas, not very bright, but dense as a pot of pea porridge.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-05: Seen from the outside, the longtang seem to be tightly packed together, the灯光as numerous as the beans in a pot of rice.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-05: 1\n","--------------------------------------------------\n","chinese: 高粱深处，蛤蟆的叫声忧伤，蝈蝈的唧唧凄凉，狐狸的哀鸣悠怅。\n","--------------------------------------------------\n","english: From deep in the sorghum came the melancholy croaks of toads, the dreary chirps of grasshoppers, and the plaintive howls of foxes.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-05: DEEP IN THE SORGHUM, THE frogs' croaks were sad, the crickets' chirps凄凉凄凉= melancholic凄凉= sad, depressed, gloomy凄凉= bleak, desolate, deserted凄凉= desolate, deserted, bleak, gloomy, sad, depressed, disconsolate, dispirited, disheartened, hopeless, despairing, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless, despairing, pessimistic, hopeless,\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-05: 1\n","### Analyzing: Qwen/Qwen2-72B-Instruct/epochs-06\n","*** Found 1 rows with total_repetitions > 50 for Qwen/Qwen2-72B-Instruct/epochs-06\n","三闷儿爬起来，抢了一把三齿要砍我，别人劝开了。\n","================================================================================\n","He got up, grabbed a pitchfork, and tried to stab me, but somebody stopped him.\n","================================================================================\n","Three闷got up and grabbed a three-pronged fork to cut me with, but others劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(72, 352), match='劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝>\n","Group 1 found at 72-212: `劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝`\n","Group 2 found at 212-352: `劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝`\n","Group 3 found at 212-352: `劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝`\n","(0, 280, 280)\n","\n","*** Found 1 rows with output_tokens >= 300 for Qwen/Qwen2-72B-Instruct/epochs-06\n","--------------------------------------------------\n","chinese: 三闷儿爬起来，抢了一把三齿要砍我，别人劝开了。\n","--------------------------------------------------\n","english: He got up, grabbed a pitchfork, and tried to stab me, but somebody stopped him.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-06: Three闷got up and grabbed a three-pronged fork to cut me with, but others劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝\n","--------------------------------------------------\n","output_tokens-Qwen/Qwen2-72B-Instruct/epochs-06: 300\n","\n","*** Found 32 rows with incomplete translations for Qwen/Qwen2-72B-Instruct/epochs-06\n","--------------------------------------------------\n","chinese: 王琦瑶到家后，她母亲已炖了鸡汤和红枣桂圆汤，什么话也没有地端给她喝，也不看那孩子一眼，就当没这个人似的。\n","--------------------------------------------------\n","english: When Wang Qiyao came home the next day, her mother had already prepared a pot of chicken broth and the customary bowl of soup with red jujube and longan, which was supposed to be so nourishing for new mothers. She handed the bowl to her daughter in silence. She did not bother to even look at her granddaughter; it was as if the child did not exist.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-06: By the time Wang Qiyao got home, her mother had already prepared a chicken soup and a红枣桂圆汤' soup with红枣' and桂圆' in it for her, which she served to her wordlessly. She completely ignored the baby, as if the child did not even exist.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-06: 1\n","--------------------------------------------------\n","chinese: 莺儿满心委屈，见姑娘说，不敢出声，只得放下钱来，口内嘟囔说：“一个做爷的，还赖我们这几个钱，连我也瞧不起!\n","--------------------------------------------------\n","english: Oriole smarted with the injustice of this, but her mistress had ordered it, so she had to pay up without arguing. She could not, however, forbear a few rebellious mutterings: 'Huh! One of the masters! Cheating a maid out of a few coppers! Even I should be ashamed!\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-06:  Oriole was very aggrieved, but not敢to say anything, now that her mistress had spoken. She put the money back on the table, and muttered something under her breath as she did so: 'The poor dears! I suppose a gentleman like him can't spare a few coppers without trying to get them back again. Well, I shan't lend him any more, that's all!\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-06: 1\n","--------------------------------------------------\n","chinese: 东北乡地势低洼，往往秋水泛滥，高粱高秆防涝，被广泛种植，年年丰产。\n","--------------------------------------------------\n","english: Northeast Gaomi Township is largely swampy land that is flooded by autumn rains; but since the tall sorghum stalks resist waterlogging, it was planted everywhere and invariably produced a bumper crop.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-06: Northeast乡, with its low-lying land, suffered from autumn floods, and since high sorghum stalks protected against such floods, it was the crop of choice and was grown everywhere to the certain promise of a bountiful annual harvest.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-06: 1\n","--------------------------------------------------\n","chinese: 因为破鞋偷汉，而她没有偷过汉。\n","--------------------------------------------------\n","english: Because, to be damaged goods she had to have cheated on her husband, but she never did.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-06: Because damaged goods偷汉子, and she had never偷汉子.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-06: 1\n","--------------------------------------------------\n","chinese: 叶文洁推开阮雯的家门，发现抄家后混乱的房间变得整洁了，那几幅被撕的油画又贴糊好挂在墙上，歪倒的钢琴也端正地立在原位，虽然已被砸坏不能弹了，但还是擦得很干净，残存的几本精装书籍也被整齐地放回书架上……\n","--------------------------------------------------\n","english: Wenjie pushed open the door to Ruan's home, and she saw that the chaos left by the Red Guards had been cleaned up: The torn oil paintings had been glued back together and rehung on the walls; the toppled piano had been set upright and wiped clean, though it was broken and could no longer be played; the few books left behind had been put back neatly on the shelf....\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-06: Ye pushed open the door to Ruan Wen's home. She found that the once chaotic apartment, the victim of revolutionary抄astroopers, had been put in order. The torn paintings had been mended and rehung on the walls. The piano, which had been tipped over, now stood upright in its original place. Although it had been smashed beyond the ability to be played, it had been cleaned. The remaining books had been neatly arranged on the bookshelf....\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-06: 1\n","--------------------------------------------------\n","chinese: 红色联合的红卫兵们退后一段距离，将那个挂在高处的躯体当靶子练习射击，密集的子弹对她来说已柔和如雨，不再带来任何感觉。\n","--------------------------------------------------\n","english: The Red Guards backed up some distance and began to use the impaled body for target practice. For her, the dense storm of bullets was now no different from a gentle rain, as she could no longer feel anything.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-06: The Red Union Red Guards stepped back some distance and used her body, hanging high, as a target for shooting practice. The密集的子弹now fell on her like a soft rain, and she felt nothing.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-06: 1\n","--------------------------------------------------\n","chinese: 雨打倒了无数的高粱，雨在田野里狂欢，蛤蟆躲在高粱根下，哈达哈达地抖着颌下雪白的皮肤； 狐狸蹲在幽暗的洞里，看着从高粱上飞溅而下的细小水珠，道路很快就泥泞不堪，杂草伏地，矢车菊清醒地擎着湿漉漉的头。\n","--------------------------------------------------\n","english: Sorghum crumpled under the wild rain. Toads took refuge under the stalks, their white pouches popping in and out noisily; foxes hid in their darkened dens to watch tiny drops of water splashing down from the sorghum plants.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-06: The rain beat down countless sorghum stalks. It狂欢edin the field, while frogs huddled under the plants, their chins quivering; foxes sitting in dark caves watched the raindrops splatter down. The roads quickly turned into mud pits, weeds were flattened to the ground, and cornflowers held up their清醒heads, which drooped with wetness.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-06: 1\n","--------------------------------------------------\n","chinese: 好像是在一九六几年吧，两个美国人在调试一个高精度卫星接收天线时意外地发现了宇宙背景辐射……”\n","--------------------------------------------------\n","english: I think it was back in the sixties when two Americans accidentally discovered the radiation when they were testing a supersensitive satellite reception antenna—'\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-06: I think it was sometime in the sixties when two engineers调试ed a highly sensitive satellite antenna and accidentally discovered the cosmic microwave background ...'\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-06: 1\n","--------------------------------------------------\n","chinese: 王琦瑶从此不再去片厂了，她是想把这事淡忘，最好是没发生过。\n","--------------------------------------------------\n","english: After that, Wang Qiyao stopped going. She wanted to forget the whole affair—that it had ever happened.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-06: Wang Qiyao stopped going to the film studio. She wanted to forget the whole thing,最好是没发生过'—as if it had never happened.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-06: 1\n","--------------------------------------------------\n","chinese: 王文义忍着咳嗽说，“嗓子眼儿发痒……”\n","--------------------------------------------------\n","english: Wang Wenyi stifled a cough. 'My throat itches. . . .'\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-06: '全域发痒……' Wang said, trying to suppress his cough.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-06: 1\n","--------------------------------------------------\n","chinese: 我可那里敢挑他呢？”\n","--------------------------------------------------\n","english: I should never dare to find fault with her.'\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-06: But I'm not敢to try picking it up.'\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-06: 1\n","--------------------------------------------------\n","chinese: 队长说他没想整我，是三闷儿的娘闹得他没办法。\n","--------------------------------------------------\n","english: The team leader said he didn't want to give me a hard time; it was Shan Men Er's mother who was giving him a hard time.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-06: The team leader said he hadn't wanted to give me trouble, but Three闷's mother caused him no end of grief about it.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-06: 1\n","--------------------------------------------------\n","chinese: 父亲只见过一次真正的秋水，那时候高粱即将收割，墨水河水暴涨，堤坝决裂，洪水灌进了田地和村庄。\n","--------------------------------------------------\n","english: He had only really seen autumn water once in his life. The sorghum was ready for harvest when the Black Water River rose and burst its banks, flooding both the fields and the village.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-06: Father had seen the black waters of the墨water River, swollen by a late summer rain, breach its banks and flood the fields and villages.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-06: 1\n","--------------------------------------------------\n","chinese: 吕留良提笔沉吟半晌，便在画上振笔直书。 顷刻诗成，诗云：\n","--------------------------------------------------\n","english: He picked up a writing-brush and for some minutes could be observed muttering to himself in the throes of composition; then, writing straight on to the painting and with pauses only for moistening the brush, he quickly completed the following poem:\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-06: Lü took up his brush and pondered for a moment before beginning. He then wrote the following quatrain on the painting: In mist and misty rain my horse's hooves were lost, When suddenly, as evening closed, a scarlet blossom'd cross: Twas at the village of Shao-tang I saw that wondrous sight, Where蓓d in the dusk a single crimson bloom so bright.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-06: 1\n","--------------------------------------------------\n","chinese: 在熙来攘往的人群中，人们甚至难以辨别他们的身影，到哪里才能找到他们呢？\n","--------------------------------------------------\n","english: It was not even easy to spot them in the crowd. Where might one go to find such a specimen?\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-06: Among the throngs of people coming and going, it is hard to find their的身影shape, let alone where to look for them.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-06: 1\n","--------------------------------------------------\n","chinese: 她的光艳照人里有一些天真，也有一些沧桑，杂糅在一起，是哀绝的美。\n","--------------------------------------------------\n","english: There was an innocence about her heavy makeup and also a certain world-weariness, blended together to create a desolate kind of beauty.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-06: There was a bit of innocence in her glamorous aura, as well as a trace of沧桑. Altogether it was a recipe for exquisite melancholy.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-06: 1\n","--------------------------------------------------\n","chinese: 众人只得带进那道士来。\n","--------------------------------------------------\n","english: The servants were obliged to bring the Taoist into the bedroom.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-06: The bearers accordingly carried the道士in.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-06: 1\n","--------------------------------------------------\n","chinese: 凌晨时村外一声枪响，把正在梦中与我奶奶厮打的二奶奶惊醒了。\n","--------------------------------------------------\n","english: EARLY-MORNING GUNFIRE beyond the village startled Second Grandma out of a dream in which she was fighting Grandma tooth and nail.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-06: A shot off in the distance at daybreak snapped her out of her dream and惊woke her up.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-06: 1\n","--------------------------------------------------\n","chinese: 这时，她倒平静下来，心情也松弛了，等那化妆师结束工作走开时，她甚至还生出几分幽默感同吴佩珍开玩笑。 吴佩珍说她简直像是嫦娥下凡，她就说嫦娥也是月饼盒上的嫦娥，于是两人都笑。\n","--------------------------------------------------\n","english: It was then that she began to calm down and her tensions eased. By the time the makeup man finished his job, she had even started to regain her sense of humor and joked around a bit with Wu Peizhen, who remarked that Wang Qiyao looked like the Lady in the Moon descending into the secular world, whereupon Wang Qiyao quipped that if she were a Lady in the Moon, she was the kind whose image was found on boxes of mooncakes. The two of them had a good laugh.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-06: Wu Peizhen's comment that she looked like嫦娥, the fairy maiden who had descended from the moon, seemed to her rather humorous. She responded with a joke—that the fairy maiden was the one on the top of the mooncake box—and the two of them burst out laughing.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-06: 1\n","--------------------------------------------------\n","chinese: 一面方方正正的太阳旗在通红的朝霞下耷拉着，一柄柄刺刀上汪着葱绿色的光彩。\n","--------------------------------------------------\n","english: A Rising Sun flag drooped under the bright-red sunrise; onion-green rays glinted off a line of bayonets.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-06: A Japanese flag flapped limply against the reddening sky, and the blades of bayonets shimmered with葱greenaqua.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-06: 1\n","--------------------------------------------------\n","chinese: 太阳是从屋顶上喷薄而出，坎坎坷坷的，光是打折的光，这是由无数细碎集合而成的壮观，是由无数耐心集合而成的巨大的力。\n","--------------------------------------------------\n","english: Coming up over the longtang rooftops, the sun shoots out its belabored rays—a majestic sight pieced together from countless minute fragments, an immense power born of immeasurable patience.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-06: The sun bursts upon the rooftops in a fitful, uneven manner, the坎坎坷坷的, 'convex' light is made up of innumerable tiny shards, each one the bearer of a patient energy.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-06: 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/Qwen2-72B-Instruct/epochs-06: One moment the aura is the scent of lavender from the厢fang wings of the courtyard, the next it is the smell of camphor, or the smell of a butcher's block.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-06: 1\n","--------------------------------------------------\n","chinese: “很好。” 潘寒点点头，汪淼注意到他眼中放出兴奋的光来。\n","--------------------------------------------------\n","english: 'Very good,' Pan said. Wang noticed his eyes sparkling with excitement.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-06: 'Excellent,' Pan寒 said, and Wang noticed an exuberant light in his eyes.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-06: 1\n","--------------------------------------------------\n","chinese: 我说：我不会讲汉话哟！\n","--------------------------------------------------\n","english: I said, I'm hopeless at speaking Mandarin.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-06: I said, I don't speak Han话.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-06: 1\n","--------------------------------------------------\n","chinese: 有一次，她放下书，看到大凤把纳着的鞋底放到膝上，呆呆地看着灯花。\n","--------------------------------------------------\n","english: One time, she put down her book and saw that Feng was holding the cloth shoe she was stitching over her knee and staring into the kerosene lamp without moving.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-06: One time, she put down her book and saw Feng put the piece of shoe sole she had been sewing onto her knee and stare呆呆地see at the lamp蕊until it burned up.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-06: 1\n","--------------------------------------------------\n","chinese: 我把她的衣襟完全解开了。 这样她袒露出上身，好像是故意的一样。\n","--------------------------------------------------\n","english: I unbuttoned all the buttons on her shirt so she was half naked. It looked like she had done it herself.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-06: I unbuttoned her dress completely, and her upper body was exposed, as if she'd故意intended that.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-06: 1\n","--------------------------------------------------\n","chinese: 贾蓉先咬定牙不依，只说：“明日告诉族中的人评评理。”\n","--------------------------------------------------\n","english: But Jia Rong feigned the most obdurate incorruptibility and insisted that he would lay the matter next day before a council of the whole clan and see that justice was done.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-06: But Jia Rong咬ted his teeth and held out for a time, declaring that he would appeal to the other members of the clan and ask them to decide who was right.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-06: 1\n","--------------------------------------------------\n","chinese: 三闷儿爬起来，抢了一把三齿要砍我，别人劝开了。\n","--------------------------------------------------\n","english: He got up, grabbed a pitchfork, and tried to stab me, but somebody stopped him.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-06: Three闷got up and grabbed a three-pronged fork to cut me with, but others劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝劝\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-06: 1\n","--------------------------------------------------\n","chinese: 他在这夜晚里嗅到了他所熟悉的气息。 灯光令他亲切，是驻进他身心里的那种。\n","--------------------------------------------------\n","english: He took in the familiar scents of the city and soaked up the evening scene.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-06: The smell in the air that night was familiar, and the lights gave him a feeling of warmth, as though they had渗into his body and become part of his soul.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-06: 1\n","--------------------------------------------------\n","chinese: 一家四口，以务农为业。 因狗儿白日间自作些生计，刘氏又操井臼等事，青板姊弟两个无人照管，狗儿遂将岳母刘姥姥接来，一处过活。\n","--------------------------------------------------\n","english: The four of them depended on agriculture for their living, and since, with Gou-er himself busy most of the day on the land and his wife busy about the farm drawing water, pounding grain, and the like, there was no one to look after Qing-er and her little brother, Gou-er invited his mother-in-law, old Grannie Liu, to come and live with them.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-06: Gou-er was a farmer, but supplemented his income by a number of odd jobs during the day; his wife, Lius氏, helped out by doing all the domestic chores, such as grinding the grain and fetching water from the well. With no one to look after their two young children, a boy and a girl, Gou-er had to fetch his wife's mother, Grannie Liu, from her home to live with them and help out.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-06: 1\n","--------------------------------------------------\n","chinese: “这种看法是片面的。” 叶哲泰平静地说。\n","--------------------------------------------------\n","english: 'That is a very one-sided view,' Ye said calmly.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-06: 'That kind of understanding is片面的,' Ye said calmly. The word Ye used was '片面的', which means 'one-sided' or 'limited', but the translator at the newspaper office had translated it as 'wrong'.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-06: 1\n","--------------------------------------------------\n","chinese: 高粱挺拔的秆子，排成密集的栅栏，模模糊糊地隐藏在气体的背后，穿过一排又一排，排排无尽头。\n","--------------------------------------------------\n","english: Erect stalks of sorghum formed dense barriers behind a wall of vapour. Each barrier led to another, seemingly endless.\n","--------------------------------------------------\n","Qwen/Qwen2-72B-Instruct/epochs-06: Ranks of sorghum stalks, like a tightly packed fence, were hidden模糊lybehind the curtain of gas, stretching off into infinity.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-72B-Instruct/epochs-06: 1\n","### Analyzing: Qwen/Qwen2-7B-Instruct/epochs-01\n","*** Found 0 rows with total_repetitions > 50 for Qwen/Qwen2-7B-Instruct/epochs-01\n","\n","*** Found 0 rows with output_tokens >= 300 for Qwen/Qwen2-7B-Instruct/epochs-01\n","\n","*** Found 7 rows with incomplete translations for Qwen/Qwen2-7B-Instruct/epochs-01\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/epochs-01: 'Yes, it's true. It's the little princess of the Mu王府.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/epochs-01: 1\n","--------------------------------------------------\n","chinese: 他从来没这样狼狈过，高密东北乡吹唢吶的好手从来没这样狼狈过。\n","--------------------------------------------------\n","english: The great woodwind player of Northeast Gaomi Township had never been in such a mess.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/epochs-01: He had never been so embarrassed in his life, nor had any of the best players of the唢吶 in Gaomi's northeast countryside.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/epochs-01: 1\n","--------------------------------------------------\n","chinese: 两人在电影院里见面，看一场农民翻身的电影，是王琦瑶最不要看的那种，硬撑到底的。\n","--------------------------------------------------\n","english: Arrangements were made for them to meet at a theater to watch a movie about victorious peasants—the kind of thing she detested—but she forced herself to sit through it.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/epochs-01: They met at the cinema to watch a film about the翻身 of peasants, a type of film that Wang Qiyao hated, and they sat through it.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/epochs-01: 1\n","--------------------------------------------------\n","chinese: 只可怜甄家在隔壁，早成了一堆瓦砾场了，只有他夫妇并几个家人的性命不曾伤了，急的士隐惟跌足长叹而已。\n","--------------------------------------------------\n","english: Poor Zhens! Though they and their handful of domestics escaped unhurt, their house, which was only next door to the temple, was soon reduced to a heap of rubble, while Shi-yin stood by helpless, groaning and stamping in despair.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/epochs-01: Poor甄's house was already a heap of ruins, and all that was left of the family were the two of them and a few servants. Shi Yin could only stand there and sigh.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/epochs-01: 1\n","--------------------------------------------------\n","chinese: 轿夫身上散发出汗酸味，奶奶有点痴迷地呼吸着这男人的气味，她老人家心中肯定漾起一圈圈春情波澜。\n","--------------------------------------------------\n","english: The men's bodies emitted the sour smell of sweat. Infatuated by the masculine odour, Grandma breathed in deeply – this ancestor of mine must have been nearly bursting with passion.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/epochs-01: The smell of the sweat on the轿夫's body made Grandma a little crazy. She breathed in the scent of this man, and her heart must have been filled with a wave of springtime passion.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/epochs-01: 1\n","--------------------------------------------------\n","chinese: 沐王府的高手再多，总敌不过大内侍卫。\n","--------------------------------------------------\n","english: However many of their ace fighters the Mu Family may have got in the city, they're not going to take on the Palace Guard.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/epochs-01: Even if the Mu王府 had more experts, they would still be no match for the Imperial Guard.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/epochs-01: 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/epochs-01: The bearers walked in a八字 step, known as 'stepping the street,' in order to please the bridegroom and earn more money. They also wanted to show off their professional grace.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/epochs-01: 1\n","### Analyzing: Qwen/Qwen2-7B-Instruct/epochs-02\n","*** Found 3 rows with total_repetitions > 50 for Qwen/Qwen2-7B-Instruct/epochs-02\n","他说我以前的说话中有扬州腔调，恐怕…… 恐怕…… 那么他眼睛给我弄瞎这回事，他知不知道？”\n","================================================================================\n","'I thought he said just now that I used to have a Yangzhou accent. Perhaps . . . perhaps he does know that I blinded him.'\n","================================================================================\n","'I used to have a bit of a Yangzhou accent in my speech. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(55, 626), match='. . . . . . . . . . . . . . . . . . . . . . . . .>\n","Group 1 found at 55-340: `. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n","Group 2 found at 341-626: `. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n","Group 3 found at 341-626: `. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n","(0, 571, 571)\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","'Well, you can't turn your back on a man just because he's a monk. You can't turn your back on a fish just because it's a fish. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(126, 1070), match=\". You can't turn your back on a man just because >\n","Group 1 found at 126-598: `. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man`\n","Group 2 found at 598-1070: `. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man`\n","Group 3 found at 598-1070: `. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man`\n","(0, 944, 944)\n","那男孩略一迟疑，道：“我叫…… 叫小玄子。\n","================================================================================\n","After a moment's hesitation the boy replied: 'Mine's . . . People call me Misty.\n","================================================================================\n","The boy hesitated for a moment. 'I'm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(36, 613), match=' . . . . . . . . . . . . . . . . . . . . . . . . >\n","Group 1 found at 36-324: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n","Group 2 found at 324-613: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . `\n","Group 3 found at 324-612: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n","(0, 577, 577)\n","\n","*** Found 3 rows with output_tokens >= 300 for Qwen/Qwen2-7B-Instruct/epochs-02\n","--------------------------------------------------\n","chinese: 他说我以前的说话中有扬州腔调，恐怕…… 恐怕…… 那么他眼睛给我弄瞎这回事，他知不知道？”\n","--------------------------------------------------\n","english: 'I thought he said just now that I used to have a Yangzhou accent. Perhaps . . . perhaps he does know that I blinded him.'\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/epochs-02: 'I used to have a bit of a Yangzhou accent in my speech. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n","--------------------------------------------------\n","output_tokens-Qwen/Qwen2-7B-Instruct/epochs-02: 300\n","--------------------------------------------------\n","chinese: 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","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","Qwen/Qwen2-7B-Instruct/epochs-02: 'Well, you can't turn your back on a man just because he's a monk. You can't turn your back on a fish just because it's a fish. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man just because he's a man. You can't turn your back on a man\n","--------------------------------------------------\n","output_tokens-Qwen/Qwen2-7B-Instruct/epochs-02: 300\n","--------------------------------------------------\n","chinese: 那男孩略一迟疑，道：“我叫…… 叫小玄子。\n","--------------------------------------------------\n","english: After a moment's hesitation the boy replied: 'Mine's . . . People call me Misty.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/epochs-02: The boy hesitated for a moment. 'I'm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n","--------------------------------------------------\n","output_tokens-Qwen/Qwen2-7B-Instruct/epochs-02: 300\n","\n","*** Found 3 rows with incomplete translations for Qwen/Qwen2-7B-Instruct/epochs-02\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","Qwen/Qwen2-7B-Instruct/epochs-02: First, I had told the慰问团 about the time I had been knocked out, which made the military deputy embarrassed; second, because of jealousy, he had always been trying to beat me up.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/epochs-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/epochs-02: To me, loyalty is the great friendship among the heroes of the江湖.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/epochs-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/epochs-02: The bearers walked in a八字 step, which they called 'walking the street.' This was partly to please the master and get more money, and partly to show off their elegant professional style.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/epochs-02: 1\n","### Analyzing: Qwen/Qwen2-7B-Instruct/epochs-03\n","*** Found 3 rows with total_repetitions > 50 for Qwen/Qwen2-7B-Instruct/epochs-03\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, I tell you. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(79, 1003), match=\". It's the real thing. It's the real thing. It's >\n","Group 1 found at 79-541: `. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing`\n","Group 2 found at 541-1003: `. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing`\n","Group 3 found at 541-1003: `. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing`\n","(0, 924, 924)\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, long, long, short, long, long, long, short, short, short, long, long, short, long, long, long, short, short, short, long, long, short, long, long, long, short, short, short, long, long, short, long, long, long, short, short, short, long, long, short, long, long, long, short, short, short, long, long, short, long, long, long, short, short, short, long, long, short, long, long, long, short, short, short, long, long, short, long, long, long, short, short, short, long, long, short, long, long, long, short, short, short, long, long, short, long, long, long, short, short, short, long, long, short, long, long, long, short, short, short, long, long, short, long, long, long, short, short, short, long, long, short, long, long, long, short, short, short, long, long, short, long, long, long, short, short, short, long, long, short, long, long, long, short, short, short, long, long, 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, 863), match='hort, short, short, long, long, short, long, long>\n","Group 1 found at 51-457: `hort, short, short, long, long, short, long, long, long, short, short, short, long, long, short, long, long, long, short, short, short, long, long, short, long, long, long, short, short, short, long, long, short, long, long, long, short, short, short, long, long, short, long, long, long, short, short, short, long, long, short, long, long, long, short, short, short, long, long, short, long, long, long, s`\n","Group 2 found at 457-863: `hort, short, short, long, long, short, long, long, long, short, short, short, long, long, short, long, long, long, short, short, short, long, long, short, long, long, long, short, short, short, long, long, short, long, long, long, short, short, short, long, long, short, long, long, long, short, short, short, long, long, short, long, long, long, short, short, short, long, long, short, long, long, long, s`\n","Group 3 found at 457-863: `hort, short, short, long, long, short, long, long, long, short, short, short, long, long, short, long, long, long, short, short, short, long, long, short, long, long, long, short, short, short, long, long, short, long, long, long, short, short, short, long, long, short, long, long, long, short, short, short, long, long, short, long, long, long, short, short, short, long, long, short, long, long, long, s`\n","<re.Match object; span=(863, 877), match='hort, short, s'>\n","Group 1 found at 863-870: `hort, s`\n","Group 2 found at 870-877: `hort, s`\n","Group 3 found at 870-877: `hort, s`\n","<re.Match object; span=(881, 893), match=', long, long'>\n","Group 1 found at 881-887: `, long`\n","Group 2 found at 887-893: `, long`\n","Group 3 found at 887-893: `, long`\n","<re.Match object; span=(900, 918), match=', long, long, long'>\n","Group 1 found at 900-906: `, long`\n","Group 2 found at 912-918: `, long`\n","Group 3 found at 912-918: `, long`\n","<re.Match object; span=(918, 939), match=', short, short, short'>\n","Group 1 found at 918-925: `, short`\n","Group 2 found at 932-939: `, short`\n","Group 3 found at 932-939: `, short`\n","<re.Match object; span=(939, 951), match=', long, long'>\n","Group 1 found at 939-945: `, long`\n","Group 2 found at 945-951: `, long`\n","Group 3 found at 945-951: `, long`\n","(0, 939, 939)\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, spare me! Please, Eighth Route Army, spare me!'\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(47, 120), match='Please, Eighth Route Army, spare me! Please, Eigh>\n","Group 1 found at 47-83: `Please, Eighth Route Army, spare me!`\n","Group 2 found at 84-120: `Please, Eighth Route Army, spare me!`\n","Group 3 found at 84-120: `Please, Eighth Route Army, spare me!`\n","(0, 73, 73)\n","\n","*** Found 2 rows with output_tokens >= 300 for Qwen/Qwen2-7B-Instruct/epochs-03\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/epochs-03: 'Yes,' said Butcher Qian, 'it's the real thing. It's the real thing, I tell you. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real thing. It's the real\n","--------------------------------------------------\n","output_tokens-Qwen/Qwen2-7B-Instruct/epochs-03: 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/epochs-03: Short, long, long, long, short, long, long, long, short, short, short, long, long, short, long, long, long, short, short, short, long, long, short, long, long, long, short, short, short, long, long, short, long, long, long, short, short, short, long, long, short, long, long, long, short, short, short, long, long, short, long, long, long, short, short, short, long, long, short, long, long, long, short, short, short, long, long, short, long, long, long, short, short, short, long, long, short, long, long, long, short, short, short, long, long, short, long, long, long, short, short, short, long, long, short, long, long, long, short, short, short, long, long, short, long, long, long, short, short, short, long, long, short, long, long, long, short, short, short, long, long, short, long, long, long, short, short, short, long, long, short, long, long, long, short, short, short, long, long, short, long, long, long, short, short, short, long, long, short, long,\n","--------------------------------------------------\n","output_tokens-Qwen/Qwen2-7B-Instruct/epochs-03: 300\n","\n","*** Found 6 rows with incomplete translations for Qwen/Qwen2-7B-Instruct/epochs-03\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/epochs-03: 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/epochs-03: 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/epochs-03: 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 I who asked him to do it.'\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/epochs-03: 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/epochs-03: 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/epochs-03: 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/epochs-03: To me, loyalty is the great friendship among the heroes of the江湖.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/epochs-03: 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/epochs-03: 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/epochs-03: 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/epochs-03: 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/epochs-03: 1\n","### Analyzing: Qwen/Qwen2-7B-Instruct/epochs-04\n","*** Found 1 rows with total_repetitions > 50 for Qwen/Qwen2-7B-Instruct/epochs-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, long, long, long, long, short, short, short, short, long, long, long, long, long, long, short, short, short, short, long, long, long, long, long, long, short, short, short, long, long, long, long, long, long, short, short, short, long, long, long, long, long, long, short, short, short, long, long, long, long, long, long, short, short, short, long, long, long, long, long, long, short, short, short, long, long, long, long, long, long, short, short, short, long, long, long, long, long, long, short, short, short, long, long, long, long, long, long, short, short, short, long, long, long, long, long, long, short, short, short, long, long, long, long, long, long, short, short, short, long, long, long, long, long, long, short, short, short, long, long, long, long, long, long, short, short, short, long, long, long, long, long, long, short, short, short, long, long, long, long, long, long, short, short, short, long, long, long, long,\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(5, 133), match=', long, long, long, long, long, short, short, sho>\n","Group 1 found at 5-69: `, long, long, long, long, long, short, short, short, short, long`\n","Group 2 found at 69-133: `, long, long, long, long, long, short, short, short, short, long`\n","Group 3 found at 69-133: `, long, long, long, long, long, short, short, short, short, long`\n","<re.Match object; span=(133, 931), match=', long, long, long, long, long, short, short, sho>\n","Group 1 found at 133-532: `, long, long, long, long, long, short, short, short, long, long, long, long, long, long, short, short, short, long, long, long, long, long, long, short, short, short, long, long, long, long, long, long, short, short, short, long, long, long, long, long, long, short, short, short, long, long, long, long, long, long, short, short, short, long, long, long, long, long, long, short, short, short, long`\n","Group 2 found at 532-931: `, long, long, long, long, long, short, short, short, long, long, long, long, long, long, short, short, short, long, long, long, long, long, long, short, short, short, long, long, long, long, long, long, short, short, short, long, long, long, long, long, long, short, short, short, long, long, long, long, long, long, short, short, short, long, long, long, long, long, long, short, short, short, long`\n","Group 3 found at 532-931: `, long, long, long, long, long, short, short, short, long, long, long, long, long, long, short, short, short, long, long, long, long, long, long, short, short, short, long, long, long, long, long, long, short, short, short, long, long, long, long, long, long, short, short, short, long, long, long, long, long, long, short, short, short, long, long, long, long, long, long, short, short, short, long`\n","<re.Match object; span=(931, 949), match=', long, long, long'>\n","Group 1 found at 931-937: `, long`\n","Group 2 found at 943-949: `, long`\n","Group 3 found at 943-949: `, long`\n","(0, 944, 944)\n","\n","*** Found 1 rows with output_tokens >= 300 for Qwen/Qwen2-7B-Instruct/epochs-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","Qwen/Qwen2-7B-Instruct/epochs-04: Short, long, long, long, long, long, short, short, short, short, long, long, long, long, long, long, short, short, short, short, long, long, long, long, long, long, short, short, short, long, long, long, long, long, long, short, short, short, long, long, long, long, long, long, short, short, short, long, long, long, long, long, long, short, short, short, long, long, long, long, long, long, short, short, short, long, long, long, long, long, long, short, short, short, long, long, long, long, long, long, short, short, short, long, long, long, long, long, long, short, short, short, long, long, long, long, long, long, short, short, short, long, long, long, long, long, long, short, short, short, long, long, long, long, long, long, short, short, short, long, long, long, long, long, long, short, short, short, long, long, long, long, long, long, short, short, short, long, long, long, long, long, long, short, short, short, long, long, long, long,\n","--------------------------------------------------\n","output_tokens-Qwen/Qwen2-7B-Instruct/epochs-04: 300\n","\n","*** Found 11 rows with incomplete translations for Qwen/Qwen2-7B-Instruct/epochs-04\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/epochs-04: Trinket knew that his own武功实在不高明, but he was too thick-skinned to admit it. 'Old Turtle taught me all fake stuff.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/epochs-04: 1\n","--------------------------------------------------\n","chinese: 如今王府虽升了官儿，只怕二姑太太还认的咱们，你为什么不走动走动?\n","--------------------------------------------------\n","english: Her brother has been promoted; but I shouldn't be surprised if she at least didn't still remember us. Why don't you try your luck with her?\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/epochs-04: Now that the王府 is a man of means, I suppose they might remember us. Why don't you go and see them?\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/epochs-04: 1\n","--------------------------------------------------\n","chinese: 斯坦顿上校已经离开了，汪淼拿起了他放在草帽上的望远镜，克服着双手的颤抖观察被“飞刃”切割成四十多片的“审判日”号。\n","--------------------------------------------------\n","english: Colonel Stanton had already left. Wang picked up the binoculars he'd left on top of his hat. Overcoming his trembling hands, he observed Judgment Day.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/epochs-04: Colonel Stanton had already left. Wang picked up the telescope that had been resting on the straw hat and, shaking, observed the forty-some slices into which the审判 day had been cut by the flying blades.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/epochs-04: 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/epochs-04: Xue Pan hurriedly made a low bow and a respectful揖, and apologised profusely. 'Don't make a fuss about the boy. It was I who asked him to do it.'\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/epochs-04: 1\n","--------------------------------------------------\n","chinese: 这时，她倒平静下来，心情也松弛了，等那化妆师结束工作走开时，她甚至还生出几分幽默感同吴佩珍开玩笑。 吴佩珍说她简直像是嫦娥下凡，她就说嫦娥也是月饼盒上的嫦娥，于是两人都笑。\n","--------------------------------------------------\n","english: It was then that she began to calm down and her tensions eased. By the time the makeup man finished his job, she had even started to regain her sense of humor and joked around a bit with Wu Peizhen, who remarked that Wang Qiyao looked like the Lady in the Moon descending into the secular world, whereupon Wang Qiyao quipped that if she were a Lady in the Moon, she was the kind whose image was found on boxes of mooncakes. The two of them had a good laugh.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/epochs-04: She was calmer now, and even found a bit of humor in the situation. When the makeup artist left, she even joked with Wu Peizhen, saying that she looked like the嫦娥 on the mooncake box. Wu Peizhen laughed.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/epochs-04: 1\n","--------------------------------------------------\n","chinese: 那种有前客堂和左右厢房里的流言是要老派一些的，带薰衣草的气味的；而带亭子间和拐角楼梯的弄堂房子的流言则是新派的，气味是樟脑丸的气味。\n","--------------------------------------------------\n","english: The kind of gossip exchanged in the front rooms and adjoining wings belongs to the old school and smacks faintly of potpourri. The gossip in the rooftop tingzijian and staircases is new school and smells of mothballs.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/epochs-04: The gossip in the old-style longtang with a reception room and wing buildings has a lavender scent, while the gossip in the newer longtang with a courtyard and corner stairs has a樟脑 ball scent.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/epochs-04: 1\n","--------------------------------------------------\n","chinese: 国家兴亡，匹夫有责，暂时避祸则可，但若去躲在桃花源里，逍遥自在，忍令亿万百姓在鞑子铁蹄下受苦，于心何安？\n","--------------------------------------------------\n","english: The citizen of a conquered country still has his duty. It's all very well to take temporary refuge, but to live a life of ease in some Peach Tree Haven while millions are suffering under the iron heel of the Tartars would be less than human.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/epochs-04: 'If the country is to be saved, every man has a duty to help. It is all very well to hide away and keep out of trouble for the time being, but to go off to a place like the桃源 and live a life of ease while millions of people are suffering under the Mongol yoke – that would be a disgrace.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/epochs-04: 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/epochs-04: 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/epochs-04: 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/epochs-04: To me, loyalty is the great friendship among the heroes of the江湖.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/epochs-04: 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/epochs-04: The bearers walked along the street in a八字 step, which they called 'street walking.' This was partly to please their patrons and earn more money, and partly to show off their elegant professional style.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/epochs-04: 1\n","--------------------------------------------------\n","chinese: 但斯坦顿居然似乎听懂了，他用刚刚抽出的一根雪茄指着史强说：“这个警察有什么资格这么对我们讲话？”\n","--------------------------------------------------\n","english: But Stanton seemed to understand what he was saying. He pointed at Shi Qiang with a fresh cigar that he had just taken out. 'Who does this policeman think he is, that he can talk to us this way?'\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/epochs-04: But Stanton seemed to understand. He took a cigar out of his mouth and pointed it at Shi Qiang. 'What资格 does this cop have to talk to us like this?'\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/epochs-04: 1\n","### Analyzing: Qwen/Qwen2-7B-Instruct/epochs-05\n","*** Found 3 rows with total_repetitions > 50 for Qwen/Qwen2-7B-Instruct/epochs-05\n","这些人嘴里尊称自己是香主，满口什么静候香主吩咐云云，其实各人肚里早就有了主意，只盼得到自己赞同，于是一切便推在韦香主头上，日后他们就不会担当重大干系。\n","================================================================================\n","It was all 'Master this' and 'Master that' and respectfully waiting to be told by the Master what they should do; but invariably they had already decided what they wanted to do and only wanted the Master's approval for doing it, so that if there was any question about it later, the Master would have sole responsibility for what they had done.\n","================================================================================\n","'Well, gentlemen,' said Trinket, addressing them all in turn, 'I hope you'll all be very patient with me. I'm afraid I'm not very good at this sort of thing. I hope you'll all bear with me. I'm afraid I'm going to have to ask you to do a lot of things for me. I hope you won't mind. I'm afraid I'm going to have to ask you to do a lot of things for me. I hope you won't mind.\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(188, 374), match=\". I'm afraid I'm going to have to ask you to do a>\n","Group 1 found at 188-281: `. I'm afraid I'm going to have to ask you to do a lot of things for me. I hope you won't mind`\n","Group 2 found at 281-374: `. I'm afraid I'm going to have to ask you to do a lot of things for me. I hope you won't mind`\n","Group 3 found at 281-374: `. I'm afraid I'm going to have to ask you to do a lot of things for me. I hope you won't mind`\n","(0, 186, 186)\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, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, 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=(5, 893), match=', long, long, long, long, long, long, long, long,>\n","Group 1 found at 5-449: `, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, 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 449-893: `, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, 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 449-893: `, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, 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, 888, 888)\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 down and begged for his life, ' Eighth Route, please spare me! Eighth Route, please spare me!'\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(49, 111), match=' Eighth Route, please spare me! Eighth Route, ple>\n","Group 1 found at 49-80: ` Eighth Route, please spare me!`\n","Group 2 found at 80-111: ` Eighth Route, please spare me!`\n","Group 3 found at 80-111: ` Eighth Route, please spare me!`\n","(0, 62, 62)\n","\n","*** Found 1 rows with output_tokens >= 300 for Qwen/Qwen2-7B-Instruct/epochs-05\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/epochs-05: 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,\n","--------------------------------------------------\n","output_tokens-Qwen/Qwen2-7B-Instruct/epochs-05: 300\n","\n","*** Found 12 rows with incomplete translations for Qwen/Qwen2-7B-Instruct/epochs-05\n","--------------------------------------------------\n","chinese: 海老公问起今日做了什么事，韦小宝说了到鳌拜家中抄家，至于吞没珍宝、金银、匕首等事，自然绝口不提，最后道：“太后命我到鳌拜家里拿两部《四十二章经》……”\n","--------------------------------------------------\n","english: When Old Hai asked what he had been doing that day, Trinket told him that he had been helping supervise the confiscation of Oboi's estate. He concluded his account—which of course omitted any mention of the dagger and various other valuables that he had pocketed for himself—by telling him about the two copies of the Sutra in Forty-Two Sections that had been discovered in Oboi's house.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/epochs-05: When Old Hai asked what he had been doing all day, Trinket told him that he had been copying the inventory of鳌拜's house. He left out the bit about the treasure and the knives, and finished up by saying, 'The Empress Dowager told me to go to Oboi's house and get two copies of the Sutra of Forty-Two Sections.'\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/epochs-05: 1\n","--------------------------------------------------\n","chinese: 红色联合的红卫兵们退后一段距离，将那个挂在高处的躯体当靶子练习射击，密集的子弹对她来说已柔和如雨，不再带来任何感觉。\n","--------------------------------------------------\n","english: The Red Guards backed up some distance and began to use the impaled body for target practice. For her, the dense storm of bullets was now no different from a gentle rain, as she could no longer feel anything.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/epochs-05: The Red Guards of the Red United Front stepped back and used the hanging corpse as a target for shooting practice. The密集 bullets fell around her like rain, and she no longer felt them.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/epochs-05: 1\n","--------------------------------------------------\n","chinese: 喂她最多的是齐猎头儿的儿媳妇，叫大凤，这个健壮的东北妮子每天吃着高粱米大渣子，同时奶两个娃，奶水还是旺旺的。\n","--------------------------------------------------\n","english: The one who nursed her the most was Hunter Qi's daughter-in-law, called Feng. Feng had the strong, solid frame of the women of the Northeast. She ate sorghum every day, and her large breasts were full of milk even though she was feeding two babies at the same time.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/epochs-05: Of all the women in the village, the one who fed her most was the daughter-in-law of the local chief, Big凤. This sturdy Northeastern girl fed two babies with the same bowl of sorghum gruel every day, yet her milk was still plentiful.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/epochs-05: 1\n","--------------------------------------------------\n","chinese: 下午来打针多是在三四点钟，这一小时总空着，只她们俩，面对面地坐。 夏天午间的困盹还没完全过去，禁不住哈欠连哈欠的。 她们强打精神，自己都不知说的什么。 弄口梧桐树上的蝉一迭声叫，传进来是嗡嗡的，也是不清楚。\n","--------------------------------------------------\n","english: Most of Wang Qiyao's patients came between three and four o'clock, so they had an hour to kill. Sitting across from each other in the lazy summer afternoon, they would stifle their yawns and chatter on without fully realizing what they were talking about, as cicadas droned in the parasol tree at the entrance to the longtang.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/epochs-05: The clinic was busiest in the afternoon, between three and four o'clock. During this hour, no one else came, and it was just the two of them sitting face to face. The afternoon nap of the midday sun had not yet left them, and they yawned and yawned, unable to keep their eyes open. They forced themselves to stay awake, but neither could remember what they had said. The cicadas in the梧桐 tree outside their clinic room made a loud, indistinct buzzing.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/epochs-05: 1\n","--------------------------------------------------\n","chinese: 后来在党的政策感召下，下山弃暗投明。\n","--------------------------------------------------\n","english: Only under the influence of our party's policy did we come down the mountain to abandon darkness for sunlight.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/epochs-05: Later, under the感召 of the Party's policies, he left the mountain to seek the light.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/epochs-05: 1\n","--------------------------------------------------\n","chinese: 如今王府虽升了官儿，只怕二姑太太还认的咱们，你为什么不走动走动?\n","--------------------------------------------------\n","english: Her brother has been promoted; but I shouldn't be surprised if she at least didn't still remember us. Why don't you try your luck with her?\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/epochs-05: Now that the王府 is a man of means, I suppose they may still remember us. Why don't you go and see them?\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/epochs-05: 1\n","--------------------------------------------------\n","chinese: 斯坦顿上校已经离开了，汪淼拿起了他放在草帽上的望远镜，克服着双手的颤抖观察被“飞刃”切割成四十多片的“审判日”号。\n","--------------------------------------------------\n","english: Colonel Stanton had already left. Wang picked up the binoculars he'd left on top of his hat. Overcoming his trembling hands, he observed Judgment Day.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/epochs-05: Colonel Stanton had already left. Wang picked up the telescope that had been resting on the straw hat and, shaking, observed the forty-some slices into which the审判 day had been sliced by the flying blades.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/epochs-05: 1\n","--------------------------------------------------\n","chinese: 这时，她倒平静下来，心情也松弛了，等那化妆师结束工作走开时，她甚至还生出几分幽默感同吴佩珍开玩笑。 吴佩珍说她简直像是嫦娥下凡，她就说嫦娥也是月饼盒上的嫦娥，于是两人都笑。\n","--------------------------------------------------\n","english: It was then that she began to calm down and her tensions eased. By the time the makeup man finished his job, she had even started to regain her sense of humor and joked around a bit with Wu Peizhen, who remarked that Wang Qiyao looked like the Lady in the Moon descending into the secular world, whereupon Wang Qiyao quipped that if she were a Lady in the Moon, she was the kind whose image was found on boxes of mooncakes. The two of them had a good laugh.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/epochs-05: She was so relaxed that she even had the good humor to tease Wu Peizhen, who said she looked like the嫦娥 on the cake box. 'The嫦娥 on the cake box!' she said. They both laughed.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/epochs-05: 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/epochs-05: This gloomy air sometimes smelled like lavender in the east and west wings, sometimes like樟脑 balls, and other times like the cutting board.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/epochs-05: 1\n","--------------------------------------------------\n","chinese: 宝玉在窗外笑道：“为什么‘每日家情思睡昏昏’的？” 一面说，一面掀帘子进来了。\n","--------------------------------------------------\n","english: He laughed: 'Why 'each day in a drowsy waking dream of love'?' he asked through the window (the words were from his beloved Western Chamber); then going to the doorway he lifted up the door-blind and walked into the room.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/epochs-05: Bao-yu was laughing at her from outside the curtain. 'Why do you always say 'Daily my thoughts are in a drowsy昏昏 state'?' he said, as he pushed the curtain aside and came in.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/epochs-05: 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/epochs-05: When the mist was rolling over the mountains, he would go out into the rain with a knife at his belt and a pair of high统 rain boots on his feet.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/epochs-05: 1\n","--------------------------------------------------\n","chinese: 但斯坦顿居然似乎听懂了，他用刚刚抽出的一根雪茄指着史强说：“这个警察有什么资格这么对我们讲话？”\n","--------------------------------------------------\n","english: But Stanton seemed to understand what he was saying. He pointed at Shi Qiang with a fresh cigar that he had just taken out. 'Who does this policeman think he is, that he can talk to us this way?'\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/epochs-05: But Stentor seemed to understand. He took a cigar out of his mouth and pointed it at Shi Qiang. 'What资格 does this cop have to talk to us like this?'\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/epochs-05: 1\n","### Analyzing: Qwen/Qwen2-7B-Instruct/epochs-06\n","*** Found 1 rows with total_repetitions > 50 for Qwen/Qwen2-7B-Instruct/epochs-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 pleaded for his life. ' Eighth Route, please spare me! Eighth Route, please spare me!'\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(59, 121), match=' Eighth Route, please spare me! Eighth Route, ple>\n","Group 1 found at 59-90: ` Eighth Route, please spare me!`\n","Group 2 found at 90-121: ` Eighth Route, please spare me!`\n","Group 3 found at 90-121: ` Eighth Route, please spare me!`\n","(0, 62, 62)\n","\n","*** Found 0 rows with output_tokens >= 300 for Qwen/Qwen2-7B-Instruct/epochs-06\n","\n","*** Found 13 rows with incomplete translations for Qwen/Qwen2-7B-Instruct/epochs-06\n","--------------------------------------------------\n","chinese: 海老公问起今日做了什么事，韦小宝说了到鳌拜家中抄家，至于吞没珍宝、金银、匕首等事，自然绝口不提，最后道：“太后命我到鳌拜家里拿两部《四十二章经》……”\n","--------------------------------------------------\n","english: When Old Hai asked what he had been doing that day, Trinket told him that he had been helping supervise the confiscation of Oboi's estate. He concluded his account—which of course omitted any mention of the dagger and various other valuables that he had pocketed for himself—by telling him about the two copies of the Sutra in Forty-Two Sections that had been discovered in Oboi's house.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/epochs-06: When Old Hai asked what he had been doing all day, Trinket told him that he had been copying the inventory of鳌拜's house. He left out the bit about the treasure and the knives and the way he had stuffed the money into his own pockets. 'The Empress Dowager told me to go to his house and take two copies of the Sutra of Forty-Two Sections.'\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/epochs-06: 1\n","--------------------------------------------------\n","chinese: 红色联合的红卫兵们退后一段距离，将那个挂在高处的躯体当靶子练习射击，密集的子弹对她来说已柔和如雨，不再带来任何感觉。\n","--------------------------------------------------\n","english: The Red Guards backed up some distance and began to use the impaled body for target practice. For her, the dense storm of bullets was now no different from a gentle rain, as she could no longer feel anything.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/epochs-06: The Red Guards of the Red Association stepped back and used the body as a target for shooting practice. The密集 gunfire felt like rain to her, and no longer caused her any pain.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/epochs-06: 1\n","--------------------------------------------------\n","chinese: 喂她最多的是齐猎头儿的儿媳妇，叫大凤，这个健壮的东北妮子每天吃着高粱米大渣子，同时奶两个娃，奶水还是旺旺的。\n","--------------------------------------------------\n","english: The one who nursed her the most was Hunter Qi's daughter-in-law, called Feng. Feng had the strong, solid frame of the women of the Northeast. She ate sorghum every day, and her large breasts were full of milk even though she was feeding two babies at the same time.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/epochs-06: Of all the women in the village, the one who fed her most was Big凤, the wife of the local chief's son. This sturdy Northeastern girl fed two babies on sorghum gruel and still had plenty of milk left over.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/epochs-06: 1\n","--------------------------------------------------\n","chinese: 下午来打针多是在三四点钟，这一小时总空着，只她们俩，面对面地坐。 夏天午间的困盹还没完全过去，禁不住哈欠连哈欠的。 她们强打精神，自己都不知说的什么。 弄口梧桐树上的蝉一迭声叫，传进来是嗡嗡的，也是不清楚。\n","--------------------------------------------------\n","english: Most of Wang Qiyao's patients came between three and four o'clock, so they had an hour to kill. Sitting across from each other in the lazy summer afternoon, they would stifle their yawns and chatter on without fully realizing what they were talking about, as cicadas droned in the parasol tree at the entrance to the longtang.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/epochs-06: In the afternoon, when the clinic was busiest, the hour between three and four was always empty. It was just the two of them sitting face to face. The afternoon nap of the midday sun had not yet left them, and they yawned and yawned, unable to keep their eyes open. They tried to keep up a conversation, but neither could remember what they were saying. The cicadas in the梧桐 tree outside their clinic room buzzed incessantly, but they could not make out what they were saying.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/epochs-06: 1\n","--------------------------------------------------\n","chinese: 后来在党的政策感召下，下山弃暗投明。\n","--------------------------------------------------\n","english: Only under the influence of our party's policy did we come down the mountain to abandon darkness for sunlight.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/epochs-06: Later, under the感召 of the Party's policies, he left the mountain to seek the light.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/epochs-06: 1\n","--------------------------------------------------\n","chinese: 如今王府虽升了官儿，只怕二姑太太还认的咱们，你为什么不走动走动?\n","--------------------------------------------------\n","english: Her brother has been promoted; but I shouldn't be surprised if she at least didn't still remember us. Why don't you try your luck with her?\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/epochs-06: Now that the王府 is a man of means, I suppose they might remember us. Why don't you go and see them?\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/epochs-06: 1\n","--------------------------------------------------\n","chinese: 斯坦顿上校已经离开了，汪淼拿起了他放在草帽上的望远镜，克服着双手的颤抖观察被“飞刃”切割成四十多片的“审判日”号。\n","--------------------------------------------------\n","english: Colonel Stanton had already left. Wang picked up the binoculars he'd left on top of his hat. Overcoming his trembling hands, he observed Judgment Day.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/epochs-06: Colonel Stanton had already left. Wang picked up the telescope that had been resting on the straw hat and, shaking, observed the forty-some slices into which the审判 Day had been sliced by the flying blades.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/epochs-06: 1\n","--------------------------------------------------\n","chinese: 这时，她倒平静下来，心情也松弛了，等那化妆师结束工作走开时，她甚至还生出几分幽默感同吴佩珍开玩笑。 吴佩珍说她简直像是嫦娥下凡，她就说嫦娥也是月饼盒上的嫦娥，于是两人都笑。\n","--------------------------------------------------\n","english: It was then that she began to calm down and her tensions eased. By the time the makeup man finished his job, she had even started to regain her sense of humor and joked around a bit with Wu Peizhen, who remarked that Wang Qiyao looked like the Lady in the Moon descending into the secular world, whereupon Wang Qiyao quipped that if she were a Lady in the Moon, she was the kind whose image was found on boxes of mooncakes. The two of them had a good laugh.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/epochs-06: She was so relaxed that she even had the good humor to tease Wu Peizhen, who said she looked like the嫦娥 on the cake box. 'The嫦娥 on the cake box!' she said. They both laughed.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/epochs-06: 1\n","--------------------------------------------------\n","chinese: 国家兴亡，匹夫有责，暂时避祸则可，但若去躲在桃花源里，逍遥自在，忍令亿万百姓在鞑子铁蹄下受苦，于心何安？\n","--------------------------------------------------\n","english: The citizen of a conquered country still has his duty. It's all very well to take temporary refuge, but to live a life of ease in some Peach Tree Haven while millions are suffering under the iron heel of the Tartars would be less than human.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/epochs-06: 'If the country is to be saved, every man has a duty to help. It is all very well to hide away and try to keep out of trouble. But to hide away in a place like桃源 and live a life of ease while millions of fellow countrymen are suffering under the Mongol yoke – that would be too much for my conscience.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/epochs-06: 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/epochs-06: This gloomy air sometimes smelled like lavender in the east and west wings, sometimes like樟脑 balls, and other times like the cutting board.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/epochs-06: 1\n","--------------------------------------------------\n","chinese: 大江南北，见闻所及，不但读书人反对鞑子，而贩夫走卒、屠沽市井之中，也到处有热血满腔的豪杰。\n","--------------------------------------------------\n","english: And wherever I've been, north or south of the River, I've discovered that it isn't only among educated people like ourselves that resistance to the Tartars is to be found. Many of our most ardent patriots are small tradesmen, Yamen runners, or market folk—people belonging to the very lowest ranks of society.\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/epochs-06: The whole length and breadth of the land, from scholar to street vendor, from butchers' shops to market stalls, there were men and women with hearts full of热血 and minds full of hatred for the Tartars.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/epochs-06: 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/epochs-06: When the mist was cold all over the mountain, he would put a knife in his belt, put on his high统ed rain boots, and walk into the rain.\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/epochs-06: 1\n","--------------------------------------------------\n","chinese: 但斯坦顿居然似乎听懂了，他用刚刚抽出的一根雪茄指着史强说：“这个警察有什么资格这么对我们讲话？”\n","--------------------------------------------------\n","english: But Stanton seemed to understand what he was saying. He pointed at Shi Qiang with a fresh cigar that he had just taken out. 'Who does this policeman think he is, that he can talk to us this way?'\n","--------------------------------------------------\n","Qwen/Qwen2-7B-Instruct/epochs-06: But Stentor seemed to understand. He took a cigar out of his mouth and pointed at Shi Qiang. 'What资格 does this cop have to talk to us like that?'\n","--------------------------------------------------\n","contains_chinese-Qwen/Qwen2-7B-Instruct/epochs-06: 1\n","### Analyzing: internlm/internlm2_5-7b-chat/epochs-01\n","*** Found 5 rows with total_repetitions > 50 for internlm/internlm2_5-7b-chat/epochs-01\n","但这时，绍琳却做出了一件出人意料的事，与一位受迫害的教育部高干结了婚，当时那名高干还在干校住“牛棚”劳改中。\n","================================================================================\n","But then Shao did something that no one expected. She married a persecuted high-level cadre from the Education Ministry. At that time, the cadre still lived in a 'cowshed' for reform through labor.\n","================================================================================\n","But at this point, Shao Lin did something unexpected: she married a high-ranking official from the Ministry of Education who was being persecuted and was living in a 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(165, 963), match=\" 'cattle shed' in the 'cattle shed' in the 'cattl>\n","Group 1 found at 165-564: ` 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the`\n","Group 2 found at 564-963: ` 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the`\n","Group 3 found at 564-963: ` 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the`\n","(0, 798, 798)\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, 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,\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=(30, 44), match=', short, short'>\n","Group 1 found at 30-37: `, short`\n","Group 2 found at 37-44: `, short`\n","Group 3 found at 37-44: `, short`\n","<re.Match object; span=(44, 56), match=', long, long'>\n","Group 1 found at 44-50: `, long`\n","Group 2 found at 50-56: `, long`\n","Group 3 found at 50-56: `, long`\n","<re.Match object; span=(63, 947), match=', long, short, short, long, long, short, short, l>\n","Group 1 found at 63-505: `, 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`\n","Group 2 found at 505-947: `, 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`\n","Group 3 found at 505-947: `, 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`\n","<re.Match object; span=(953, 967), match=', short, short'>\n","Group 1 found at 953-960: `, short`\n","Group 2 found at 960-967: `, short`\n","Group 3 found at 960-967: `, short`\n","(0, 950, 950)\n","这是深入肌肤，已经谈不上是亲是近，反有些起腻，暗底里生畏的，却是有一股噬骨的感动。\n","================================================================================\n","This is a feeling that, having penetrated the flesh, goes beyond closeness. One begins to weary of it. It breeds a secret fear, but hidden within that fear is an excitement that gnaws down to the bone.\n","================================================================================\n","It was as if she had been soaked in the water, and the skin was already too soft to be called tender. It was as if she had been soaked in the water, and the skin was already too soft to be called tender.\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(0, 203), match='It was as if she had been soaked in the water, an>\n","Group 1 found at 0-101: `It was as if she had been soaked in the water, and the skin was already too soft to be called tender.`\n","Group 2 found at 102-203: `It was as if she had been soaked in the water, and the skin was already too soft to be called tender.`\n","Group 3 found at 102-203: `It was as if she had been soaked in the water, and the skin was already too soft to be called tender.`\n","(0, 203, 203)\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","Blue sky—green sky—green and blue sky—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(4, 25), match=' sky—green sky—green '>\n","Group 1 found at 4-14: ` sky—green`\n","Group 2 found at 14-25: ` sky—green `\n","Group 3 found at 14-24: ` sky—green`\n","<re.Match object; span=(37, 997), match='—big stick—big stick—big stick—big stick—big stic>\n","Group 1 found at 37-517: `—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick`\n","Group 2 found at 517-997: `—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick`\n","Group 3 found at 517-997: `—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick`\n","(0, 981, 981)\n","尹兄弟后继有人，青木堂有主儿了。”\n","================================================================================\n","It gives Brother Yin a successor and the Green Wood Lodge a Master.'\n","================================================================================\n","'You've got a successor for your brother Yin. You've got a successor for your brother Yin.'\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(1, 90), match=\"You've got a successor for your brother Yin. You'>\n","Group 1 found at 1-45: `You've got a successor for your brother Yin.`\n","Group 2 found at 46-90: `You've got a successor for your brother Yin.`\n","Group 3 found at 46-90: `You've got a successor for your brother Yin.`\n","(0, 89, 89)\n","\n","*** Found 3 rows with output_tokens >= 300 for internlm/internlm2_5-7b-chat/epochs-01\n","--------------------------------------------------\n","chinese: 但这时，绍琳却做出了一件出人意料的事，与一位受迫害的教育部高干结了婚，当时那名高干还在干校住“牛棚”劳改中。\n","--------------------------------------------------\n","english: But then Shao did something that no one expected. She married a persecuted high-level cadre from the Education Ministry. At that time, the cadre still lived in a 'cowshed' for reform through labor.\n","--------------------------------------------------\n","internlm/internlm2_5-7b-chat/epochs-01: But at this point, Shao Lin did something unexpected: she married a high-ranking official from the Ministry of Education who was being persecuted and was living in a 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the 'cattle shed' in the\n","--------------------------------------------------\n","output_tokens-internlm/internlm2_5-7b-chat/epochs-01: 301\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/epochs-01: Long, short, long, short, long, short, short, long, 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,\n","--------------------------------------------------\n","output_tokens-internlm/internlm2_5-7b-chat/epochs-01: 301\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","internlm/internlm2_5-7b-chat/epochs-01: Blue sky—green sky—green and blue sky—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big stick—big\n","--------------------------------------------------\n","output_tokens-internlm/internlm2_5-7b-chat/epochs-01: 301\n","\n","*** Found 3 rows with incomplete translations for internlm/internlm2_5-7b-chat/epochs-01\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/epochs-01: One reason was that I had embarrassed the military representative in front of the慰问团 by telling them about the time I had been knocked out. The other reason was that I was jealous of him.\n","--------------------------------------------------\n","contains_chinese-internlm/internlm2_5-7b-chat/epochs-01: 1\n","--------------------------------------------------\n","chinese: 八月深秋，无边无际的高粱红成洸洋的血海，高粱高密辉煌，高粱凄婉可人，高粱爱情激荡。\n","--------------------------------------------------\n","english: In late autumn, during the eighth lunar month, vast stretches of red sorghum shimmered like a sea of blood. Tall and dense, it reeked of glory; cold and graceful, it promised enchantment; passionate and loving, it was tumultuous.\n","--------------------------------------------------\n","internlm/internlm2_5-7b-chat/epochs-01: In August, the high粱 fields were a sea of blood. The high粱 stalks were tall and lush, their flowers were fragrant and their fruit was sweet.\n","--------------------------------------------------\n","contains_chinese-internlm/internlm2_5-7b-chat/epochs-01: 1\n","--------------------------------------------------\n","chinese: 好在他撒谎圆谎的本领着实不小，跟着道：“这老儿奉了鳌拜之命，将我二人擒去，想那鳌拜是个极大的大官，自然不能轻易出手。”\n","--------------------------------------------------\n","english: To a practised liar like Trinket, however, this presented little difficulty. The old eunuch was acting on Oboi's orders. I suppose Oboi, being so important, was too grand to do the dirty work himself.'\n","--------------------------------------------------\n","internlm/internlm2_5-7b-chat/epochs-01: Fortunately, he was a good liar, so he said, 'This old man was sent by鳌拜 to take us away. Since鳌拜 is such a high-ranking official, he wouldn't dare to do anything rashly.\n","--------------------------------------------------\n","contains_chinese-internlm/internlm2_5-7b-chat/epochs-01: 1\n","### Analyzing: internlm/internlm2_5-7b-chat/epochs-02\n","*** Found 2 rows with total_repetitions > 50 for internlm/internlm2_5-7b-chat/epochs-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","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","她就爬起来说，不行，这样两个人都要病。\n","================================================================================\n","So she sat up and said, Enough. Both of us will get sick this way.\n","================================================================================\n","She got up and said, No, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no,\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(22, 606), match='o, no, no, no, no, no, no, no, no, no, no, no, no>\n","Group 1 found at 22-314: `o, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, n`\n","Group 2 found at 314-606: `o, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, n`\n","Group 3 found at 314-606: `o, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, n`\n","(0, 584, 584)\n","\n","*** Found 2 rows with output_tokens >= 300 for internlm/internlm2_5-7b-chat/epochs-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/epochs-02: 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/epochs-02: 301\n","--------------------------------------------------\n","chinese: 她就爬起来说，不行，这样两个人都要病。\n","--------------------------------------------------\n","english: So she sat up and said, Enough. Both of us will get sick this way.\n","--------------------------------------------------\n","internlm/internlm2_5-7b-chat/epochs-02: She got up and said, No, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no, no,\n","--------------------------------------------------\n","output_tokens-internlm/internlm2_5-7b-chat/epochs-02: 301\n","\n","*** Found 1 rows with incomplete translations for internlm/internlm2_5-7b-chat/epochs-02\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/epochs-02: One was that I had embarrassed the military representative in front of the慰问 team by admitting that I had been knocked out. The other was that I was jealous of him. So he kept punishing me.\n","--------------------------------------------------\n","contains_chinese-internlm/internlm2_5-7b-chat/epochs-02: 1\n","### Analyzing: internlm/internlm2_5-7b-chat/epochs-03\n","*** Found 4 rows with total_repetitions > 50 for internlm/internlm2_5-7b-chat/epochs-03\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, 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,\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=(30, 44), match=', short, short'>\n","Group 1 found at 30-37: `, short`\n","Group 2 found at 37-44: `, short`\n","Group 3 found at 37-44: `, short`\n","<re.Match object; span=(44, 56), match=', long, long'>\n","Group 1 found at 44-50: `, long`\n","Group 2 found at 50-56: `, long`\n","Group 3 found at 50-56: `, long`\n","<re.Match object; span=(63, 947), match=', long, short, short, long, long, short, short, l>\n","Group 1 found at 63-505: `, 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`\n","Group 2 found at 505-947: `, 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`\n","Group 3 found at 505-947: `, 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`\n","<re.Match object; span=(953, 967), match=', short, short'>\n","Group 1 found at 953-960: `, short`\n","Group 2 found at 960-967: `, short`\n","Group 3 found at 960-967: `, short`\n","(0, 950, 950)\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 must see my face for the sake of the Buddha's. You must see my face for the sake of the fish's. You must see my face for the sake of the bean-girl's. If you don't want to see my face, you must see it for the sake of the bean-girl's. If you don't want to see my face, you must see it for the sake of the bean-girl's. You are like my father to me.'\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(121, 288), match=\" for the sake of the bean-girl's. If you don't wa>\n","Group 1 found at 121-204: ` for the sake of the bean-girl's. If you don't want to see my face, you must see it`\n","Group 2 found at 204-288: ` for the sake of the bean-girl's. If you don't want to see my face, you must see it `\n","Group 3 found at 204-287: ` for the sake of the bean-girl's. If you don't want to see my face, you must see it`\n","(0, 167, 167)\n","士隐慌忙起身谢道：“恕诓驾之罪，且请略坐，弟即来奉陪。”\n","================================================================================\n","Shi-yin hurriedly rose up and excused himself: 'I seem to have brought you here under false pretences. I do hope you will forgive me. If you don't mind sitting on your own here for a moment, I shall be with you directly.'\n","================================================================================\n","'Oh, I beg your pardon!' said Shi-yin, jumping up. 'I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon!\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(52, 926), match='I beg your pardon! I beg your pardon! I beg your >\n","Group 1 found at 52-489: `I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! `\n","Group 2 found at 489-926: `I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! `\n","Group 3 found at 489-926: `I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! `\n","(0, 874, 874)\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 his life: 'Please, please, don't kill me, please, please, don't kill me, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please,\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(59, 121), match=\"lease, please, don't kill me, please, please, don>\n","Group 1 found at 59-90: `lease, please, don't kill me, p`\n","Group 2 found at 90-121: `lease, please, don't kill me, p`\n","Group 3 found at 90-121: `lease, please, don't kill me, p`\n","<re.Match object; span=(121, 1177), match='lease, please, please, please, please, please, pl>\n","Group 1 found at 121-649: `lease, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, p`\n","Group 2 found at 649-1177: `lease, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, p`\n","Group 3 found at 649-1177: `lease, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, p`\n","(0, 1118, 1118)\n","\n","*** Found 3 rows with output_tokens >= 300 for internlm/internlm2_5-7b-chat/epochs-03\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/epochs-03: Long, short, long, short, long, short, short, long, 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,\n","--------------------------------------------------\n","output_tokens-internlm/internlm2_5-7b-chat/epochs-03: 301\n","--------------------------------------------------\n","chinese: 士隐慌忙起身谢道：“恕诓驾之罪，且请略坐，弟即来奉陪。”\n","--------------------------------------------------\n","english: Shi-yin hurriedly rose up and excused himself: 'I seem to have brought you here under false pretences. I do hope you will forgive me. If you don't mind sitting on your own here for a moment, I shall be with you directly.'\n","--------------------------------------------------\n","internlm/internlm2_5-7b-chat/epochs-03: 'Oh, I beg your pardon!' said Shi-yin, jumping up. 'I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon! I beg your pardon!\n","--------------------------------------------------\n","output_tokens-internlm/internlm2_5-7b-chat/epochs-03: 301\n","--------------------------------------------------\n","chinese: 老头子跪在地上，哀求道：“八路老爷饶命，八路老爷饶命……”\n","--------------------------------------------------\n","english: He rose to his knees and begged, 'Spare me, Eighth Route Master, spare me!'\n","--------------------------------------------------\n","internlm/internlm2_5-7b-chat/epochs-03: The old man knelt on the ground and begged for his life: 'Please, please, don't kill me, please, please, don't kill me, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please, please,\n","--------------------------------------------------\n","output_tokens-internlm/internlm2_5-7b-chat/epochs-03: 301\n","\n","*** Found 0 rows with incomplete translations for internlm/internlm2_5-7b-chat/epochs-03\n","### Analyzing: internlm/internlm2_5-7b-chat/epochs-04\n","*** Found 2 rows with total_repetitions > 50 for internlm/internlm2_5-7b-chat/epochs-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, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, short, short, long, long, long, long, short, long, long, long, short, long, long, long, short, long, long, short, short, long, long, long, short, long, long, long, short, long, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long,\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(1, 101), match='hort, long, long, long, short, long, long, long, >\n","Group 1 found at 1-51: `hort, long, long, long, short, long, long, long, s`\n","Group 2 found at 51-101: `hort, long, long, long, short, long, long, long, s`\n","Group 3 found at 51-101: `hort, long, long, long, short, long, long, long, s`\n","<re.Match object; span=(105, 117), match=', long, long'>\n","Group 1 found at 105-111: `, long`\n","Group 2 found at 111-117: `, long`\n","Group 3 found at 111-117: `, long`\n","<re.Match object; span=(117, 131), match=', short, short'>\n","Group 1 found at 117-124: `, short`\n","Group 2 found at 124-131: `, short`\n","Group 3 found at 124-131: `, short`\n","<re.Match object; span=(131, 155), match=', long, long, long, long'>\n","Group 1 found at 131-143: `, long, long`\n","Group 2 found at 143-155: `, long, long`\n","Group 3 found at 143-155: `, long, long`\n","<re.Match object; span=(155, 205), match=', short, long, long, long, short, long, long, lon>\n","Group 1 found at 155-180: `, short, long, long, long`\n","Group 2 found at 180-205: `, short, long, long, long`\n","Group 3 found at 180-205: `, short, long, long, long`\n","<re.Match object; span=(212, 224), match=', long, long'>\n","Group 1 found at 212-218: `, long`\n","Group 2 found at 218-224: `, long`\n","Group 3 found at 218-224: `, long`\n","<re.Match object; span=(224, 238), match=', short, short'>\n","Group 1 found at 224-231: `, short`\n","Group 2 found at 231-238: `, short`\n","Group 3 found at 231-238: `, short`\n","<re.Match object; span=(238, 350), match=', long, long, long, short, long, long, long, shor>\n","Group 1 found at 238-294: `, long, long, long, short, long, long, long, short, long`\n","Group 2 found at 294-350: `, long, long, long, short, long, long, long, short, long`\n","Group 3 found at 294-350: `, long, long, long, short, long, long, long, short, long`\n","<re.Match object; span=(350, 900), match=', long, long, short, long, long, long, short, lon>\n","Group 1 found at 350-625: `, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long`\n","Group 2 found at 625-900: `, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long`\n","Group 3 found at 625-900: `, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long`\n","<re.Match object; span=(900, 912), match=', long, long'>\n","Group 1 found at 900-906: `, long`\n","Group 2 found at 906-912: `, long`\n","Group 3 found at 906-912: `, long`\n","<re.Match object; span=(919, 937), match=', long, long, long'>\n","Group 1 found at 919-925: `, long`\n","Group 2 found at 931-937: `, long`\n","Group 3 found at 931-937: `, long`\n","(0, 918, 918)\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/epochs-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/epochs-04: Short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, short, short, long, long, long, long, short, long, long, long, short, long, long, long, short, long, long, short, short, long, long, long, short, long, long, long, short, long, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long,\n","--------------------------------------------------\n","output_tokens-internlm/internlm2_5-7b-chat/epochs-04: 301\n","--------------------------------------------------\n","chinese: 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","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/epochs-04: '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/epochs-04: 301\n","\n","*** Found 0 rows with incomplete translations for internlm/internlm2_5-7b-chat/epochs-04\n","### Analyzing: internlm/internlm2_5-7b-chat/epochs-05\n","*** Found 1 rows with total_repetitions > 50 for internlm/internlm2_5-7b-chat/epochs-05\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, long, long, long, short, long, long, long, short, short, long, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, short, long, long, long, long, short, long, long, long, short, short, long, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long,\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(1, 101), match='hort, long, long, long, short, long, long, long, >\n","Group 1 found at 1-51: `hort, long, long, long, short, long, long, long, s`\n","Group 2 found at 51-101: `hort, long, long, long, short, long, long, long, s`\n","Group 3 found at 51-101: `hort, long, long, long, short, long, long, long, s`\n","<re.Match object; span=(112, 136), match=', long, long, long, long'>\n","Group 1 found at 112-124: `, long, long`\n","Group 2 found at 124-136: `, long, long`\n","Group 3 found at 124-136: `, long, long`\n","<re.Match object; span=(136, 211), match=', short, long, long, long, short, long, long, lon>\n","Group 1 found at 136-161: `, short, long, long, long`\n","Group 2 found at 186-211: `, short, long, long, long`\n","Group 3 found at 186-211: `, short, long, long, long`\n","<re.Match object; span=(211, 337), match=', short, short, long, long, long, long, short, lo>\n","Group 1 found at 211-274: `, short, short, long, long, long, long, short, long, long, long`\n","Group 2 found at 274-337: `, short, short, long, long, long, long, short, long, long, long`\n","Group 3 found at 274-337: `, short, short, long, long, long, long, short, long, long, long`\n","<re.Match object; span=(337, 937), match=', short, long, long, long, short, long, long, lon>\n","Group 1 found at 337-637: `, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long`\n","Group 2 found at 637-937: `, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long`\n","Group 3 found at 637-937: `, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long`\n","(0, 925, 925)\n","\n","*** Found 1 rows with output_tokens >= 300 for internlm/internlm2_5-7b-chat/epochs-05\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/epochs-05: Short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, short, long, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, short, long, long, long, long, short, long, long, long, short, short, long, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long,\n","--------------------------------------------------\n","output_tokens-internlm/internlm2_5-7b-chat/epochs-05: 301\n","\n","*** Found 0 rows with incomplete translations for internlm/internlm2_5-7b-chat/epochs-05\n","### Analyzing: internlm/internlm2_5-7b-chat/epochs-06\n","*** Found 1 rows with total_repetitions > 50 for internlm/internlm2_5-7b-chat/epochs-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, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, short, short, long, long, long, long, short, long, long, long, short, long, long, short, long, long, short, short, long, long, long, long, short, long, long, long, short, short, long, long, long, long, long, short, long, long, long, long, short, long, long, long, long, 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,\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(1, 101), match='hort, long, long, long, short, long, long, long, >\n","Group 1 found at 1-51: `hort, long, long, long, short, long, long, long, s`\n","Group 2 found at 51-101: `hort, long, long, long, short, long, long, long, s`\n","Group 3 found at 51-101: `hort, long, long, long, short, long, long, long, s`\n","<re.Match object; span=(105, 117), match=', long, long'>\n","Group 1 found at 105-111: `, long`\n","Group 2 found at 111-117: `, long`\n","Group 3 found at 111-117: `, long`\n","<re.Match object; span=(117, 131), match=', short, short'>\n","Group 1 found at 117-124: `, short`\n","Group 2 found at 124-131: `, short`\n","Group 3 found at 124-131: `, short`\n","<re.Match object; span=(131, 155), match=', long, long, long, long'>\n","Group 1 found at 131-143: `, long, long`\n","Group 2 found at 143-155: `, long, long`\n","Group 3 found at 143-155: `, long, long`\n","<re.Match object; span=(162, 180), match=', long, long, long'>\n","Group 1 found at 162-168: `, long`\n","Group 2 found at 174-180: `, long`\n","Group 3 found at 174-180: `, long`\n","<re.Match object; span=(180, 218), match=', short, long, long, short, long, long'>\n","Group 1 found at 180-199: `, short, long, long`\n","Group 2 found at 199-218: `, short, long, long`\n","Group 3 found at 199-218: `, short, long, long`\n","<re.Match object; span=(218, 232), match=', short, short'>\n","Group 1 found at 218-225: `, short`\n","Group 2 found at 225-232: `, short`\n","Group 3 found at 225-232: `, short`\n","<re.Match object; span=(232, 256), match=', long, long, long, long'>\n","Group 1 found at 232-244: `, long, long`\n","Group 2 found at 244-256: `, long, long`\n","Group 3 found at 244-256: `, long, long`\n","<re.Match object; span=(263, 281), match=', long, long, long'>\n","Group 1 found at 263-269: `, long`\n","Group 2 found at 275-281: `, long`\n","Group 3 found at 275-281: `, long`\n","<re.Match object; span=(281, 295), match=', short, short'>\n","Group 1 found at 281-288: `, short`\n","Group 2 found at 288-295: `, short`\n","Group 3 found at 288-295: `, short`\n","<re.Match object; span=(295, 319), match=', long, long, long, long'>\n","Group 1 found at 295-307: `, long, long`\n","Group 2 found at 307-319: `, long, long`\n","Group 3 found at 307-319: `, long, long`\n","<re.Match object; span=(319, 381), match=', long, short, long, long, long, long, short, lon>\n","Group 1 found at 319-350: `, long, short, long, long, long`\n","Group 2 found at 350-381: `, long, short, long, long, long`\n","Group 3 found at 350-381: `, long, short, long, long, long`\n","<re.Match object; span=(381, 393), match=', long, long'>\n","Group 1 found at 381-387: `, long`\n","Group 2 found at 387-393: `, long`\n","Group 3 found at 387-393: `, long`\n","<re.Match object; span=(400, 916), match=', long, long, long, long, long, long, long, long,>\n","Group 1 found at 400-658: `, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, 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 658-916: `, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, 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 658-916: `, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, 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, 890, 890)\n","\n","*** Found 1 rows with output_tokens >= 300 for internlm/internlm2_5-7b-chat/epochs-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/epochs-06: Short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, long, short, long, long, short, short, long, long, long, long, short, long, long, long, short, long, long, short, long, long, short, short, long, long, long, long, short, long, long, long, short, short, long, long, long, long, long, short, long, long, long, long, short, long, long, long, long, 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,\n","--------------------------------------------------\n","output_tokens-internlm/internlm2_5-7b-chat/epochs-06: 301\n","\n","*** Found 0 rows with incomplete translations for internlm/internlm2_5-7b-chat/epochs-06\n","### Analyzing: microsoft/Phi-3.5-mini-instruct/epochs-01\n","*** Found 6 rows with total_repetitions > 50 for microsoft/Phi-3.5-mini-instruct/epochs-01\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 the boss. 'The daughter of the younger brother of the man who was the father of the woman who was the wife of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(118, 1259), match=' of the man who was the father of the man who was>\n","Group 1 found at 118-688: ` of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father`\n","Group 2 found at 688-1259: ` of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father `\n","Group 3 found at 688-1258: ` of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father`\n","(0, 1141, 1141)\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, long, short, short, long, short, long, short, long, short, long, 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\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(2, 80), match='hort, long, short, long, short, long, short, long>\n","Group 1 found at 2-41: `hort, long, short, long, short, long, s`\n","Group 2 found at 41-80: `hort, long, short, long, short, long, s`\n","Group 3 found at 41-80: `hort, long, short, long, short, long, s`\n","<re.Match object; span=(84, 96), match=', long, long'>\n","Group 1 found at 84-90: `, long`\n","Group 2 found at 90-96: `, long`\n","Group 3 found at 90-96: `, long`\n","<re.Match object; span=(96, 110), match=', short, short'>\n","Group 1 found at 96-103: `, short`\n","Group 2 found at 103-110: `, short`\n","Group 3 found at 103-110: `, short`\n","<re.Match object; span=(110, 149), match=', long, short, long, short, long, short'>\n","Group 1 found at 110-123: `, long, short`\n","Group 2 found at 136-149: `, long, short`\n","Group 3 found at 136-149: `, long, short`\n","<re.Match object; span=(149, 167), match=', long, long, long'>\n","Group 1 found at 149-155: `, long`\n","Group 2 found at 161-167: `, long`\n","Group 3 found at 161-167: `, long`\n","<re.Match object; span=(167, 973), match=', short, long, short, long, short, long, short, l>\n","Group 1 found at 167-570: `, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, 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 570-973: `, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, 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 570-973: `, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, short, long, 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, 967, 967)\n","如今出挑的美人儿似的，少说着只怕有一万心眼子；再要赌口齿，十个会说的男人也说不过他呢！\n","================================================================================\n","She's grown up to be a real beauty too, has Mrs Lian. But sharp! Well, if it ever comes to a slanging match, she can talk down ten grown men any day of the week!\n","================================================================================\n","Nowadays, a woman who's been out of the house for a while is like a woman who's been out of the house for a long time. She's not afraid to say what she thinks, and she's not afraid to speak her mind. She's not afraid to say what she thinks, and she's not afraid to speak her mind. She's not afraid to say what she thinks, and she's not afraid to speak her mind. She's not afraid to say what she thinks, and she's not afraid to speak her mind. She's not afraid to say what she thinks, and she's not afraid to speak her mind.\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(117, 441), match=\". She's not afraid to say what she thinks, and sh>\n","Group 1 found at 117-279: `. She's not afraid to say what she thinks, and she's not afraid to speak her mind. She's not afraid to say what she thinks, and she's not afraid to speak her mind`\n","Group 2 found at 279-441: `. She's not afraid to say what she thinks, and she's not afraid to speak her mind. She's not afraid to say what she thinks, and she's not afraid to speak her mind`\n","Group 3 found at 279-441: `. She's not afraid to say what she thinks, and she's not afraid to speak her mind. She's not afraid to say what she thinks, and she's not afraid to speak her mind`\n","(0, 324, 324)\n","原来这小小之家，姓王，乃本地人氏，祖上也做过一个小小京官，昔年曾与凤姐之祖王夫人之父认识。\n","================================================================================\n","Their name was Wang and they were natives of these parts. A grandfather had held some very small official post in the capital and had there become acquainted with Wang Xi-feng's grandfather, the father of Lady Wang.\n","================================================================================\n","It turned out that the little house was owned by the Wang family, a local family. Their ancestors had been a small official in the old capital, and had once met the grandmother of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(172, 1252), match='ther of the woman who was the wife of the man who>\n","Group 1 found at 172-712: `ther of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the fa`\n","Group 2 found at 712-1252: `ther of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the fa`\n","Group 3 found at 712-1252: `ther of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the fa`\n","(0, 1080, 1080)\n","薛蟠道：“要不是，我也不敢惊动：只因下月初三日，是我的生日，谁知老胡和老程他们，不知那里寻了来的：这么粗，这么长，粉脆的鲜藕；这么大的西瓜；这么长，这么大的暹罗国进贡的灵柏香熏的暹罗猪、鱼。\n","================================================================================\n","'Look,' said Xue Pan. 'I wouldn't have troubled you otherwise, only it's my birthday on the third of next month and old Hu and old Cheng and a couple of the others, I don't know where they got them from but they've given me: a piece of fresh lotus root, ever so crisp and crunchy, as thick as that, look, and as long as that; a huge great melon, look, as big as that; a freshly-caught sturgeon as big as that; and a cypress-smoked Siamese sucking-pig as big as that that came in the tribute from Siam.\n","================================================================================\n","'I would not have dared to disturb them, for it was my birthday on the first of the month of March. I did not know that the old man and the old woman had been looking for them. They were so big and so fresh, the lotus roots, the watermelon, the long-stemmed lotus flowers, the long-stemmed peaches, the long-stemmed lotus flowers, the long-stemmed peaches, the long-stemmed lotus flowers, the long-stemmed peaches, the long-stemmed lotus flowers, the long-stemmed peaches, the long-stemmed lotus flowers, the long-stemmed peaches, the long-stemmed lotus flowers, the long-stemmed peaches, the long-stemmed lotus flowers, the long-stemmed peaches, the long-stemmed lotus flowers, the long-stemmed peaches, the long-stemmed lotus flowers, the long-stemmed peaches, the long-stemmed lotus flowers, the long-stemmed peaches, the long-stemmed lotus flowers, the long-stemmed peaches, the long-stemmed lotus flowers, the long-stemmed peaches, the long-stemmed lotus flowers\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(239, 935), match=', the long-stemmed lotus flowers, the long-stemme>\n","Group 1 found at 239-587: `, the long-stemmed lotus flowers, the long-stemmed peaches, the long-stemmed lotus flowers, the long-stemmed peaches, the long-stemmed lotus flowers, the long-stemmed peaches, the long-stemmed lotus flowers, the long-stemmed peaches, the long-stemmed lotus flowers, the long-stemmed peaches, the long-stemmed lotus flowers, the long-stemmed peaches`\n","Group 2 found at 587-935: `, the long-stemmed lotus flowers, the long-stemmed peaches, the long-stemmed lotus flowers, the long-stemmed peaches, the long-stemmed lotus flowers, the long-stemmed peaches, the long-stemmed lotus flowers, the long-stemmed peaches, the long-stemmed lotus flowers, the long-stemmed peaches, the long-stemmed lotus flowers, the long-stemmed peaches`\n","Group 3 found at 587-935: `, the long-stemmed lotus flowers, the long-stemmed peaches, the long-stemmed lotus flowers, the long-stemmed peaches, the long-stemmed lotus flowers, the long-stemmed peaches, the long-stemmed lotus flowers, the long-stemmed peaches, the long-stemmed lotus flowers, the long-stemmed peaches, the long-stemmed lotus flowers, the long-stemmed peaches`\n","(0, 696, 696)\n","一时那男孩翻在上面，一时韦小宝翻在上面，翻了十七八个滚，终于两人互相扭住，呼呼喘气，突然之间，两人不约而同的哈哈大笑，都觉如此扭打十分好玩，慢慢放开了手。\n","================================================================================\n","They struggled for a while, each one gaining the upper hand for a moment, then going under, ringing the changes more than a dozen times, until finally they were in a complete deadlock, panting and staring fixedly at each other. And then suddenly, at exactly the same moment, they both burst out laughing. There was something about the clinch they were in that struck them both as terribly funny. Slowly they let go.\n","================================================================================\n","At first, the boy rolled over on top of him, and then the little girl rolled over on top of him. They rolled over and over, and finally they grabbed each other's hands and laughed. They both laughed so hard that they couldn't help it. They both laughed so hard that they couldn't help it.\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(179, 287), match=\". They both laughed so hard that they couldn't he>\n","Group 1 found at 179-233: `. They both laughed so hard that they couldn't help it`\n","Group 2 found at 233-287: `. They both laughed so hard that they couldn't help it`\n","Group 3 found at 233-287: `. They both laughed so hard that they couldn't help it`\n","(0, 108, 108)\n","\n","*** Found 4 rows with output_tokens >= 300 for microsoft/Phi-3.5-mini-instruct/epochs-01\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","microsoft/Phi-3.5-mini-instruct/epochs-01: 'Yes,' said the boss. 'The daughter of the younger brother of the man who was the father of the woman who was the wife of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was the father of the man who was\n","--------------------------------------------------\n","output_tokens-microsoft/Phi-3.5-mini-instruct/epochs-01: 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","microsoft/Phi-3.5-mini-instruct/epochs-01: 'Short, long, short, long, short, long, short, long, short, long, short, long, short, long, long, short, short, long, short, long, short, long, short, long, 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\n","--------------------------------------------------\n","output_tokens-microsoft/Phi-3.5-mini-instruct/epochs-01: 300\n","--------------------------------------------------\n","chinese: 原来这小小之家，姓王，乃本地人氏，祖上也做过一个小小京官，昔年曾与凤姐之祖王夫人之父认识。\n","--------------------------------------------------\n","english: Their name was Wang and they were natives of these parts. A grandfather had held some very small official post in the capital and had there become acquainted with Wang Xi-feng's grandfather, the father of Lady Wang.\n","--------------------------------------------------\n","microsoft/Phi-3.5-mini-instruct/epochs-01: It turned out that the little house was owned by the Wang family, a local family. Their ancestors had been a small official in the old capital, and had once met the grandmother of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the man who was the father of the woman who was the wife of the\n","--------------------------------------------------\n","output_tokens-microsoft/Phi-3.5-mini-instruct/epochs-01: 300\n","--------------------------------------------------\n","chinese: 薛蟠道：“要不是，我也不敢惊动：只因下月初三日，是我的生日，谁知老胡和老程他们，不知那里寻了来的：这么粗，这么长，粉脆的鲜藕；这么大的西瓜；这么长，这么大的暹罗国进贡的灵柏香熏的暹罗猪、鱼。\n","--------------------------------------------------\n","english: 'Look,' said Xue Pan. 'I wouldn't have troubled you otherwise, only it's my birthday on the third of next month and old Hu and old Cheng and a couple of the others, I don't know where they got them from but they've given me: a piece of fresh lotus root, ever so crisp and crunchy, as thick as that, look, and as long as that; a huge great melon, look, as big as that; a freshly-caught sturgeon as big as that; and a cypress-smoked Siamese sucking-pig as big as that that came in the tribute from Siam.\n","--------------------------------------------------\n","microsoft/Phi-3.5-mini-instruct/epochs-01: 'I would not have dared to disturb them, for it was my birthday on the first of the month of March. I did not know that the old man and the old woman had been looking for them. They were so big and so fresh, the lotus roots, the watermelon, the long-stemmed lotus flowers, the long-stemmed peaches, the long-stemmed lotus flowers, the long-stemmed peaches, the long-stemmed lotus flowers, the long-stemmed peaches, the long-stemmed lotus flowers, the long-stemmed peaches, the long-stemmed lotus flowers, the long-stemmed peaches, the long-stemmed lotus flowers, the long-stemmed peaches, the long-stemmed lotus flowers, the long-stemmed peaches, the long-stemmed lotus flowers, the long-stemmed peaches, the long-stemmed lotus flowers, the long-stemmed peaches, the long-stemmed lotus flowers, the long-stemmed peaches, the long-stemmed lotus flowers, the long-stemmed peaches, the long-stemmed lotus flowers, the long-stemmed peaches, the long-stemmed lotus flowers\n","--------------------------------------------------\n","output_tokens-microsoft/Phi-3.5-mini-instruct/epochs-01: 300\n","\n","*** Found 3 rows with incomplete translations for microsoft/Phi-3.5-mini-instruct/epochs-01\n","--------------------------------------------------\n","chinese: 那男孩反手抓住他右腿使劲一扯，韦小宝仰面便倒。\n","--------------------------------------------------\n","english: The boy quickly grabbed his right leg and tugged at it, sending Trinket crashing down on his back.\n","--------------------------------------------------\n","microsoft/Phi-3.5-mini-instruct/epochs-01: The boy grabbed his right leg and pulled with all his might. 韦小宝 fell backward.\n","--------------------------------------------------\n","contains_chinese-microsoft/Phi-3.5-mini-instruct/epochs-01: 1\n","--------------------------------------------------\n","chinese: “很好。” 潘寒点点头，汪淼注意到他眼中放出兴奋的光来。\n","--------------------------------------------------\n","english: 'Very good,' Pan said. Wang noticed his eyes sparkling with excitement.\n","--------------------------------------------------\n","microsoft/Phi-3.5-mini-instruct/epochs-01: 'Good.' 潘寒 nodded. 汪淼 noticed the excitement in his eyes.\n","--------------------------------------------------\n","contains_chinese-microsoft/Phi-3.5-mini-instruct/epochs-01: 1\n","--------------------------------------------------\n","chinese: 只见她微笑着招手，韦小宝大喜，轻轻闪身过门。 蕊初又将门掩上了，在他耳畔低声道：“我怕你进不来，已在这里等了许久。”\n","--------------------------------------------------\n","english: She smiled at him and beckoned to him to come in. He complied happily, and when he had slipped inside, she fastened the gate after him. 'I thought I'd better wait here in case you had trouble getting in,' she said softly in his ear. 'I've been waiting ever such a long time.'\n","--------------------------------------------------\n","microsoft/Phi-3.5-mini-instruct/epochs-01: 'She smiled and waved at him, and he was delighted. 蕊初 quickly closed the door behind her and said in a low voice: 'I'm afraid you won't be able to come in. I've been waiting here for a long time.'\n","--------------------------------------------------\n","contains_chinese-microsoft/Phi-3.5-mini-instruct/epochs-01: 1\n","### Analyzing: microsoft/Phi-3.5-mini-instruct/epochs-02\n","*** Found 4 rows with total_repetitions > 50 for microsoft/Phi-3.5-mini-instruct/epochs-02\n","它原先是一片蛮荒地，荆榛苇茅丛生，狐狸野兔的乐园，后来有了几架牧人的草棚，后来逃来了杀人命犯、落魄酒徒、亡命赌棍…… 他们建造房屋，开垦荒地，拓扑出人的乐园，狐狸野兔迁徙他乡，临别时齐声发出控诉人类的鸣叫。\n","================================================================================\n","At one time the site had been a wasteland covered with brambles, underbrush, and reeds, a paradise for foxes and wild rabbits. Then a few huts appeared, and it became a haven for escaped murderers, drunks, gamblers, who built homes, cultivated the land, and turned it into a paradise for humans, forcing out the foxes and wild rabbits, who set up howls of protest on the eve of their departure.\n","================================================================================\n","It was originally a wild, untamed place, a paradise for foxes and hares. Then a few shepherds built their huts there, and then the fugitives, the murderers, the runaway drunkards, the gamblers, the outcasts, the prostitutes, the thieves, the beggars, the vagabonds, the tramps, the homeless, the outcasts, the prostitutes, the thieves, the beggars, the tramps, the homeless, the outcasts, the prostitutes, the thieves, the beggars, the tramps, the homeless, the outcasts, the prostitutes, the thieves, the beggars, the tramps, the homeless, the outcasts, the prostitutes, the thieves, the beggars, the tramps, the homeless, the outcasts, the prostitutes, the thieves, the beggars, the tramps, the homeless, the outcasts, the prostitutes, the thieves, the beggars, the tramps, the homeless, the outcasts, the prostitutes, the thieves, the beggars, the tramps, the homeless, the outcasts, the prostitutes, the thieves, the beggars, the tramps, the homeless, the outcast\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(263, 927), match='s, the tramps, the homeless, the outcasts, the pr>\n","Group 1 found at 263-595: `s, the tramps, the homeless, the outcasts, the prostitutes, the thieves, the beggars, the tramps, the homeless, the outcasts, the prostitutes, the thieves, the beggars, the tramps, the homeless, the outcasts, the prostitutes, the thieves, the beggars, the tramps, the homeless, the outcasts, the prostitutes, the thieves, the beggar`\n","Group 2 found at 595-927: `s, the tramps, the homeless, the outcasts, the prostitutes, the thieves, the beggars, the tramps, the homeless, the outcasts, the prostitutes, the thieves, the beggars, the tramps, the homeless, the outcasts, the prostitutes, the thieves, the beggars, the tramps, the homeless, the outcasts, the prostitutes, the thieves, the beggar`\n","Group 3 found at 595-927: `s, the tramps, the homeless, the outcasts, the prostitutes, the thieves, the beggars, the tramps, the homeless, the outcasts, the prostitutes, the thieves, the beggars, the tramps, the homeless, the outcasts, the prostitutes, the thieves, the beggars, the tramps, the homeless, the outcasts, the prostitutes, the thieves, the beggar`\n","(0, 664, 664)\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, short, short, long, long, short, long, short, short, long, long, short, long, short, long, long, short, short, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(2, 16), match='hort, short, s'>\n","Group 1 found at 2-9: `hort, s`\n","Group 2 found at 9-16: `hort, s`\n","Group 3 found at 9-16: `hort, s`\n","<re.Match object; span=(20, 32), match=', long, long'>\n","Group 1 found at 20-26: `, long`\n","Group 2 found at 26-32: `, long`\n","Group 3 found at 26-32: `, long`\n","<re.Match object; span=(45, 59), match=', short, short'>\n","Group 1 found at 45-52: `, short`\n","Group 2 found at 52-59: `, short`\n","Group 3 found at 52-59: `, short`\n","<re.Match object; span=(59, 71), match=', long, long'>\n","Group 1 found at 59-65: `, long`\n","Group 2 found at 65-71: `, long`\n","Group 3 found at 65-71: `, long`\n","<re.Match object; span=(71, 149), match=', short, long, short, long, long, short, short, l>\n","Group 1 found at 71-110: `, short, long, short, long, long, short`\n","Group 2 found at 110-149: `, short, long, short, long, long, short`\n","Group 3 found at 110-149: `, short, long, short, long, long, short`\n","<re.Match object; span=(149, 947), match=', long, long, short, long, long, short, long, lon>\n","Group 1 found at 149-548: `, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short`\n","Group 2 found at 548-947: `, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short`\n","Group 3 found at 548-947: `, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short`\n","(0, 928, 928)\n","韦小宝倒拿她没有法子，说道：“你不睁眼，我偏偏要你睁眼，咱哥儿俩耗上了，倒要瞧瞧是你郡主娘娘厉害，还是我这小流氓、小叫化子厉害。\n","================================================================================\n","Trinket was at his wit's end to know what to do with her. 'You don't want to open your eyes but I want you to open them,' he said. 'All right, we'll play a little game and see who comes out best, the high and mighty Little Countess or the nasty little beggar-boy.\n","================================================================================\n","Trinket took her hand and said, 'You can't open your eyes. I'm going to make you. You're going to have to suffer for this. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(121, 961), match=\". I'm going to make you suffer. I'm going to make>\n","Group 1 found at 121-541: `. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer`\n","Group 2 found at 541-961: `. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer`\n","Group 3 found at 541-961: `. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer`\n","(0, 840, 840)\n","薛蟠道：“要不是，我也不敢惊动：只因下月初三日，是我的生日，谁知老胡和老程他们，不知那里寻了来的：这么粗，这么长，粉脆的鲜藕；这么大的西瓜；这么长，这么大的暹罗国进贡的灵柏香熏的暹罗猪、鱼。\n","================================================================================\n","'Look,' said Xue Pan. 'I wouldn't have troubled you otherwise, only it's my birthday on the third of next month and old Hu and old Cheng and a couple of the others, I don't know where they got them from but they've given me: a piece of fresh lotus root, ever so crisp and crunchy, as thick as that, look, and as long as that; a huge great melon, look, as big as that; a freshly-caught sturgeon as big as that; and a cypress-smoked Siamese sucking-pig as big as that that came in the tribute from Siam.\n","================================================================================\n","'I wouldn't dare to disturb them. It's my birthday on the first of the next month. I don't know what they're doing here. They're eating the fresh lotus roots, the big watermelon, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(177, 897), match=', the long-stemmed lotus roots, the long-stemmed >\n","Group 1 found at 177-537: `, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots`\n","Group 2 found at 537-897: `, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots`\n","Group 3 found at 537-897: `, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots`\n","(0, 720, 720)\n","\n","*** Found 4 rows with output_tokens >= 300 for microsoft/Phi-3.5-mini-instruct/epochs-02\n","--------------------------------------------------\n","chinese: 它原先是一片蛮荒地，荆榛苇茅丛生，狐狸野兔的乐园，后来有了几架牧人的草棚，后来逃来了杀人命犯、落魄酒徒、亡命赌棍…… 他们建造房屋，开垦荒地，拓扑出人的乐园，狐狸野兔迁徙他乡，临别时齐声发出控诉人类的鸣叫。\n","--------------------------------------------------\n","english: At one time the site had been a wasteland covered with brambles, underbrush, and reeds, a paradise for foxes and wild rabbits. Then a few huts appeared, and it became a haven for escaped murderers, drunks, gamblers, who built homes, cultivated the land, and turned it into a paradise for humans, forcing out the foxes and wild rabbits, who set up howls of protest on the eve of their departure.\n","--------------------------------------------------\n","microsoft/Phi-3.5-mini-instruct/epochs-02: It was originally a wild, untamed place, a paradise for foxes and hares. Then a few shepherds built their huts there, and then the fugitives, the murderers, the runaway drunkards, the gamblers, the outcasts, the prostitutes, the thieves, the beggars, the vagabonds, the tramps, the homeless, the outcasts, the prostitutes, the thieves, the beggars, the tramps, the homeless, the outcasts, the prostitutes, the thieves, the beggars, the tramps, the homeless, the outcasts, the prostitutes, the thieves, the beggars, the tramps, the homeless, the outcasts, the prostitutes, the thieves, the beggars, the tramps, the homeless, the outcasts, the prostitutes, the thieves, the beggars, the tramps, the homeless, the outcasts, the prostitutes, the thieves, the beggars, the tramps, the homeless, the outcasts, the prostitutes, the thieves, the beggars, the tramps, the homeless, the outcasts, the prostitutes, the thieves, the beggars, the tramps, the homeless, the outcast\n","--------------------------------------------------\n","output_tokens-microsoft/Phi-3.5-mini-instruct/epochs-02: 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","microsoft/Phi-3.5-mini-instruct/epochs-02: 'Short, short, short, long, long, short, long, short, short, long, long, short, long, short, long, long, short, short, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long, long, short, long\n","--------------------------------------------------\n","output_tokens-microsoft/Phi-3.5-mini-instruct/epochs-02: 300\n","--------------------------------------------------\n","chinese: 韦小宝倒拿她没有法子，说道：“你不睁眼，我偏偏要你睁眼，咱哥儿俩耗上了，倒要瞧瞧是你郡主娘娘厉害，还是我这小流氓、小叫化子厉害。\n","--------------------------------------------------\n","english: Trinket was at his wit's end to know what to do with her. 'You don't want to open your eyes but I want you to open them,' he said. 'All right, we'll play a little game and see who comes out best, the high and mighty Little Countess or the nasty little beggar-boy.\n","--------------------------------------------------\n","microsoft/Phi-3.5-mini-instruct/epochs-02: Trinket took her hand and said, 'You can't open your eyes. I'm going to make you. You're going to have to suffer for this. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'm going to make you suffer. I'\n","--------------------------------------------------\n","output_tokens-microsoft/Phi-3.5-mini-instruct/epochs-02: 300\n","--------------------------------------------------\n","chinese: 薛蟠道：“要不是，我也不敢惊动：只因下月初三日，是我的生日，谁知老胡和老程他们，不知那里寻了来的：这么粗，这么长，粉脆的鲜藕；这么大的西瓜；这么长，这么大的暹罗国进贡的灵柏香熏的暹罗猪、鱼。\n","--------------------------------------------------\n","english: 'Look,' said Xue Pan. 'I wouldn't have troubled you otherwise, only it's my birthday on the third of next month and old Hu and old Cheng and a couple of the others, I don't know where they got them from but they've given me: a piece of fresh lotus root, ever so crisp and crunchy, as thick as that, look, and as long as that; a huge great melon, look, as big as that; a freshly-caught sturgeon as big as that; and a cypress-smoked Siamese sucking-pig as big as that that came in the tribute from Siam.\n","--------------------------------------------------\n","microsoft/Phi-3.5-mini-instruct/epochs-02: 'I wouldn't dare to disturb them. It's my birthday on the first of the next month. I don't know what they're doing here. They're eating the fresh lotus roots, the big watermelon, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed lotus roots, the long-stemmed\n","--------------------------------------------------\n","output_tokens-microsoft/Phi-3.5-mini-instruct/epochs-02: 300\n","\n","*** Found 0 rows with incomplete translations for microsoft/Phi-3.5-mini-instruct/epochs-02\n","### Analyzing: microsoft/Phi-3.5-mini-instruct/epochs-03\n","*** Found 5 rows with total_repetitions > 50 for microsoft/Phi-3.5-mini-instruct/epochs-03\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 and short, long and short, short and long, long and short, long and short, long and short, short and long, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short,\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(1, 129), match='ong and short, long and short, short and long, lo>\n","Group 1 found at 1-65: `ong and short, long and short, short and long, long and short, l`\n","Group 2 found at 65-129: `ong and short, long and short, short and long, long and short, l`\n","Group 3 found at 65-129: `ong and short, long and short, short and long, long and short, l`\n","<re.Match object; span=(129, 1185), match='ong and short, long and short, long and short, lo>\n","Group 1 found at 129-657: `ong and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, l`\n","Group 2 found at 657-1185: `ong and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, l`\n","Group 3 found at 657-1185: `ong and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, l`\n","(0, 1184, 1184)\n","他听到我曾外祖父舌头僵硬地说：“闺女…… 你…… 一泡尿尿了这半天……\n","================================================================================\n","He heard Great-Granddad, whose tongue had grown thick in his mouth, say: 'Daughter . . . you . . . what took you so long to take a piss? . . .\n","================================================================================\n","He heard my great-grandfather's tongue twisting as he said, 'Miss . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(65, 629), match=' . . . . . . . . . . . . . . . . . . . . . . . . >\n","Group 1 found at 65-347: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n","Group 2 found at 347-629: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n","Group 3 found at 347-629: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n","(0, 564, 564)\n","韦小宝倒拿她没有法子，说道：“你不睁眼，我偏偏要你睁眼，咱哥儿俩耗上了，倒要瞧瞧是你郡主娘娘厉害，还是我这小流氓、小叫化子厉害。\n","================================================================================\n","Trinket was at his wit's end to know what to do with her. 'You don't want to open your eyes but I want you to open them,' he said. 'All right, we'll play a little game and see who comes out best, the high and mighty Little Countess or the nasty little beggar-boy.\n","================================================================================\n","Trinket took her by the arm and said, 'You can't keep your eyes shut. I'm going to force you to open them. We've already wasted enough time. I'm going to show you how much better I am than you, Trinket. I'm going to show you how much better I am than you, Trinket. I'm going to show you how much better I am than you, Trinket.\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(139, 325), match=\". I'm going to show you how much better I am than>\n","Group 1 found at 139-201: `. I'm going to show you how much better I am than you, Trinket`\n","Group 2 found at 263-325: `. I'm going to show you how much better I am than you, Trinket`\n","Group 3 found at 263-325: `. I'm going to show you how much better I am than you, Trinket`\n","(0, 186, 186)\n","夜色灰葡萄，金风串河道，宝蓝色的天空深邃无边，绿色的星辰格外明亮。 北斗勺子星——北斗主死，南斗簸箕星——南斗司生、八角玻璃井——缺了一块砖，焦灼的牛郎要上吊，忧愁的织女要跳河…… 都在头上悬着。\n","================================================================================\n","On that grey-purple night a golden breeze followed the course of the river. The sapphire-blue sky was deep and boundless, green-tinted stars shone brightly in the sky: the ladle of Ursa Major (signifying death), the basket of Sagittarius (representing life); Octans, the glass well, missing one of its tiles; the anxious Herd Boy (Altair), about to hang himself; the mournful Weaving Girl (Vega), about to drown herself in the river. . . .\n","================================================================================\n","The misty grapes of the night, the winds that wandered along the river, the deep blue sky, the bright stars, all hung above my head. The North Star, the North Star, the South Star, the South Star, the glass bowl, the missing brick, the burning cowboy, the weeping maiden, all hung above my head.\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(134, 166), match='he North Star, the North Star, t'>\n","Group 1 found at 134-150: `he North Star, t`\n","Group 2 found at 150-166: `he North Star, t`\n","Group 3 found at 150-166: `he North Star, t`\n","<re.Match object; span=(166, 198), match='he South Star, the South Star, t'>\n","Group 1 found at 166-182: `he South Star, t`\n","Group 2 found at 182-198: `he South Star, t`\n","Group 3 found at 182-198: `he South Star, t`\n","(0, 64, 64)\n","韦小宝笑道：“你不会说话，不会动弹，安安静静的躺在这里，最乖不过。”\n","================================================================================\n","He laughed. 'You can't talk and you can't move! All you can do is just lie there like a good little girl!'\n","================================================================================\n","'You're a good boy, aren't you?' said Trinket. 'You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(48, 864), match=\"You're a very good boy. You're a very good boy. Y>\n","Group 1 found at 48-456: `You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. `\n","Group 2 found at 456-864: `You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. `\n","Group 3 found at 456-864: `You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. `\n","(0, 816, 816)\n","\n","*** Found 3 rows with output_tokens >= 300 for microsoft/Phi-3.5-mini-instruct/epochs-03\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","microsoft/Phi-3.5-mini-instruct/epochs-03: Long and short, long and short, short and long, long and short, long and short, long and short, short and long, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short,\n","--------------------------------------------------\n","output_tokens-microsoft/Phi-3.5-mini-instruct/epochs-03: 300\n","--------------------------------------------------\n","chinese: 他听到我曾外祖父舌头僵硬地说：“闺女…… 你…… 一泡尿尿了这半天……\n","--------------------------------------------------\n","english: He heard Great-Granddad, whose tongue had grown thick in his mouth, say: 'Daughter . . . you . . . what took you so long to take a piss? . . .\n","--------------------------------------------------\n","microsoft/Phi-3.5-mini-instruct/epochs-03: He heard my great-grandfather's tongue twisting as he said, 'Miss . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n","--------------------------------------------------\n","output_tokens-microsoft/Phi-3.5-mini-instruct/epochs-03: 300\n","--------------------------------------------------\n","chinese: 韦小宝笑道：“你不会说话，不会动弹，安安静静的躺在这里，最乖不过。”\n","--------------------------------------------------\n","english: He laughed. 'You can't talk and you can't move! All you can do is just lie there like a good little girl!'\n","--------------------------------------------------\n","microsoft/Phi-3.5-mini-instruct/epochs-03: 'You're a good boy, aren't you?' said Trinket. 'You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You\n","--------------------------------------------------\n","output_tokens-microsoft/Phi-3.5-mini-instruct/epochs-03: 300\n","\n","*** Found 0 rows with incomplete translations for microsoft/Phi-3.5-mini-instruct/epochs-03\n","### Analyzing: microsoft/Phi-3.5-mini-instruct/epochs-04\n","*** Found 7 rows with total_repetitions > 50 for microsoft/Phi-3.5-mini-instruct/epochs-04\n","一面说，一面就站起来了。 刘姥姥只是千恩万谢的，拿了银钱，跟着周瑞家的走到外边。\n","================================================================================\n","She rose to her feet, and Grannie Liu, with heartfelt expressions of gratitude, picked up the money and followed Zhou Rui's wife out of the room.\n","================================================================================\n","'I'll tell you what, I'll go and see if I can help you,' said Grannie Liu. 'I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(76, 846), match=\"I'll go and see if I can help you. I'll go and se>\n","Group 1 found at 76-461: `I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. `\n","Group 2 found at 461-846: `I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. `\n","Group 3 found at 461-846: `I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. `\n","(0, 770, 770)\n","黄宗羲道：“我二人来此，乃是为了二瞻先生的那位本家伊璜先生。\n","================================================================================\n","'It has to do with Erzhan's kinsman Yihuang, ' said Huang.\n","================================================================================\n","'I came here with you to see the home of the lady who is the wife of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(65, 1290), match=' of the man who is the second cousin of the man w>\n","Group 1 found at 65-677: ` of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin`\n","Group 2 found at 677-1290: ` of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin `\n","Group 3 found at 677-1289: ` of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin`\n","(0, 1225, 1225)\n","谁知狗儿利名心重，听如此说，心下便有些活动； 又听他妻子这番话，便笑道：“老老既这么说，况且当日你又见过这姑太太一次，为什么不你老人家明日就去走一遭，先试试风头儿去？”\n","================================================================================\n","Gou-er's cupidity, however, had been aroused by the words of his mother-in-law, and his reaction to them was less discouraging than his wife's. 'Well, if it's as you say, Grannie, and being as you've already seen this lady, why not go there yourself and spy out the land for us?'\n","================================================================================\n","Who would have thought that a dog's heart was so tender? When he heard this, he felt a little stirring in his heart. Then he heard what his wife said, and he laughed. 'Well, if you say so, then I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tom\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(193, 894), match=\" I'll go and see Granddad tomorrow. I'll go and s>\n","Group 1 found at 193-543: ` I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow.`\n","Group 2 found at 543-894: ` I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. `\n","Group 3 found at 543-893: ` I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow.`\n","(0, 701, 701)\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 and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short,\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(1, 1185), match='ong and short, long and short, long and short, lo>\n","Group 1 found at 1-593: `ong and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, l`\n","Group 2 found at 593-1185: `ong and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, l`\n","Group 3 found at 593-1185: `ong and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, l`\n","(0, 1184, 1184)\n","他听到我曾外祖父舌头僵硬地说：“闺女…… 你…… 一泡尿尿了这半天……\n","================================================================================\n","He heard Great-Granddad, whose tongue had grown thick in his mouth, say: 'Daughter . . . you . . . what took you so long to take a piss? . . .\n","================================================================================\n","He heard my great-grandfather's tongue twisting as he said, 'Lady . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(65, 626), match=' . . . . . . . . . . . . . . . . . . . . . . . . >\n","Group 1 found at 65-345: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n","Group 2 found at 345-626: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . `\n","Group 3 found at 345-625: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n","(0, 561, 561)\n","太阳是从屋顶上喷薄而出，坎坎坷坷的，光是打折的光，这是由无数细碎集合而成的壮观，是由无数耐心集合而成的巨大的力。\n","================================================================================\n","Coming up over the longtang rooftops, the sun shoots out its belabored rays—a majestic sight pieced together from countless minute fragments, an immense power born of immeasurable patience.\n","================================================================================\n","The sun bursts out from the roof, a thin, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering,\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(40, 904), match=', shimmering, shimmering, shimmering, shimmering,>\n","Group 1 found at 40-472: `, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering`\n","Group 2 found at 472-904: `, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering`\n","Group 3 found at 472-904: `, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering`\n","(0, 864, 864)\n","那男孩略一迟疑，道：“我叫…… 叫小玄子。\n","================================================================================\n","After a moment's hesitation the boy replied: 'Mine's . . . People call me Misty.\n","================================================================================\n","The boy hesitated a moment, then said, 'I am called . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(51, 623), match=' . . . . . . . . . . . . . . . . . . . . . . . . >\n","Group 1 found at 51-337: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n","Group 2 found at 337-623: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n","Group 3 found at 337-623: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n","(0, 572, 572)\n","\n","*** Found 7 rows with output_tokens >= 300 for microsoft/Phi-3.5-mini-instruct/epochs-04\n","--------------------------------------------------\n","chinese: 一面说，一面就站起来了。 刘姥姥只是千恩万谢的，拿了银钱，跟着周瑞家的走到外边。\n","--------------------------------------------------\n","english: She rose to her feet, and Grannie Liu, with heartfelt expressions of gratitude, picked up the money and followed Zhou Rui's wife out of the room.\n","--------------------------------------------------\n","microsoft/Phi-3.5-mini-instruct/epochs-04: 'I'll tell you what, I'll go and see if I can help you,' said Grannie Liu. 'I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can help you. I'll go and see if I can\n","--------------------------------------------------\n","output_tokens-microsoft/Phi-3.5-mini-instruct/epochs-04: 300\n","--------------------------------------------------\n","chinese: 黄宗羲道：“我二人来此，乃是为了二瞻先生的那位本家伊璜先生。\n","--------------------------------------------------\n","english: 'It has to do with Erzhan's kinsman Yihuang, ' said Huang.\n","--------------------------------------------------\n","microsoft/Phi-3.5-mini-instruct/epochs-04: 'I came here with you to see the home of the lady who is the wife of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man who is the second cousin of the man\n","--------------------------------------------------\n","output_tokens-microsoft/Phi-3.5-mini-instruct/epochs-04: 300\n","--------------------------------------------------\n","chinese: 谁知狗儿利名心重，听如此说，心下便有些活动； 又听他妻子这番话，便笑道：“老老既这么说，况且当日你又见过这姑太太一次，为什么不你老人家明日就去走一遭，先试试风头儿去？”\n","--------------------------------------------------\n","english: Gou-er's cupidity, however, had been aroused by the words of his mother-in-law, and his reaction to them was less discouraging than his wife's. 'Well, if it's as you say, Grannie, and being as you've already seen this lady, why not go there yourself and spy out the land for us?'\n","--------------------------------------------------\n","microsoft/Phi-3.5-mini-instruct/epochs-04: Who would have thought that a dog's heart was so tender? When he heard this, he felt a little stirring in his heart. Then he heard what his wife said, and he laughed. 'Well, if you say so, then I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tomorrow. I'll go and see Granddad tom\n","--------------------------------------------------\n","output_tokens-microsoft/Phi-3.5-mini-instruct/epochs-04: 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","microsoft/Phi-3.5-mini-instruct/epochs-04: Long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short,\n","--------------------------------------------------\n","output_tokens-microsoft/Phi-3.5-mini-instruct/epochs-04: 300\n","--------------------------------------------------\n","chinese: 他听到我曾外祖父舌头僵硬地说：“闺女…… 你…… 一泡尿尿了这半天……\n","--------------------------------------------------\n","english: He heard Great-Granddad, whose tongue had grown thick in his mouth, say: 'Daughter . . . you . . . what took you so long to take a piss? . . .\n","--------------------------------------------------\n","microsoft/Phi-3.5-mini-instruct/epochs-04: He heard my great-grandfather's tongue twisting as he said, 'Lady . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n","--------------------------------------------------\n","output_tokens-microsoft/Phi-3.5-mini-instruct/epochs-04: 300\n","--------------------------------------------------\n","chinese: 太阳是从屋顶上喷薄而出，坎坎坷坷的，光是打折的光，这是由无数细碎集合而成的壮观，是由无数耐心集合而成的巨大的力。\n","--------------------------------------------------\n","english: Coming up over the longtang rooftops, the sun shoots out its belabored rays—a majestic sight pieced together from countless minute fragments, an immense power born of immeasurable patience.\n","--------------------------------------------------\n","microsoft/Phi-3.5-mini-instruct/epochs-04: The sun bursts out from the roof, a thin, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering,\n","--------------------------------------------------\n","output_tokens-microsoft/Phi-3.5-mini-instruct/epochs-04: 300\n","--------------------------------------------------\n","chinese: 那男孩略一迟疑，道：“我叫…… 叫小玄子。\n","--------------------------------------------------\n","english: After a moment's hesitation the boy replied: 'Mine's . . . People call me Misty.\n","--------------------------------------------------\n","microsoft/Phi-3.5-mini-instruct/epochs-04: The boy hesitated a moment, then said, 'I am called . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n","--------------------------------------------------\n","output_tokens-microsoft/Phi-3.5-mini-instruct/epochs-04: 300\n","\n","*** Found 0 rows with incomplete translations for microsoft/Phi-3.5-mini-instruct/epochs-04\n","### Analyzing: microsoft/Phi-3.5-mini-instruct/epochs-05\n","*** Found 8 rows with total_repetitions > 50 for microsoft/Phi-3.5-mini-instruct/epochs-05\n","他说我以前的说话中有扬州腔调，恐怕…… 恐怕…… 那么他眼睛给我弄瞎这回事，他知不知道？”\n","================================================================================\n","'I thought he said just now that I used to have a Yangzhou accent. Perhaps . . . perhaps he does know that I blinded him.'\n","================================================================================\n","'I used to speak with a Yangzhou accent,' he said. 'I'm afraid that might have given you away. I'm afraid that might have given you away. So you're going to blind me now, are you? I don't know what you're thinking.'\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(52, 138), match=\"I'm afraid that might have given you away. I'm af>\n","Group 1 found at 52-95: `I'm afraid that might have given you away. `\n","Group 2 found at 95-138: `I'm afraid that might have given you away. `\n","Group 3 found at 95-138: `I'm afraid that might have given you away. `\n","(0, 86, 86)\n","李嬷嬷站住，将手一拍，道：“你说，好好儿的，又看上了那个什么‘云哥儿’‘雨哥儿’的，这会子逼着我叫了他来。\n","================================================================================\n","Nannie Li made a flapping gesture with her hand: 'What do you think, my dear: His Nibs has taken a fancy to the young fellow who does the tree-planting — 'Yin' or 'Yun' or whatever his name is — so Nannie has to go and ask him in.\n","================================================================================\n","'I'm not saying anything,' said Li-li. 'I'm just telling you that I've been trying to get him to come over for a while. I've been trying to get him to come over for a while.\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(65, 173), match=\" I've been trying to get him to come over for a w>\n","Group 1 found at 65-119: ` I've been trying to get him to come over for a while.`\n","Group 2 found at 119-173: ` I've been trying to get him to come over for a while.`\n","Group 3 found at 119-173: ` I've been trying to get him to come over for a while.`\n","(0, 108, 108)\n","谁知狗儿利名心重，听如此说，心下便有些活动； 又听他妻子这番话，便笑道：“老老既这么说，况且当日你又见过这姑太太一次，为什么不你老人家明日就去走一遭，先试试风头儿去？”\n","================================================================================\n","Gou-er's cupidity, however, had been aroused by the words of his mother-in-law, and his reaction to them was less discouraging than his wife's. 'Well, if it's as you say, Grannie, and being as you've already seen this lady, why not go there yourself and spy out the land for us?'\n","================================================================================\n","But the dog's heart was soft, and he was moved by what he had heard. He was also amused by the words of his wife, and said to her: 'If you say so, then I'll go and see Granddad tomorrow. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(185, 815), match=\". I'll go and see him. I'll go and see him. I'll >\n","Group 1 found at 185-500: `. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him`\n","Group 2 found at 500-815: `. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him`\n","Group 3 found at 500-815: `. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him`\n","(0, 630, 630)\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 and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short,\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(1, 1185), match='ong and short, long and short, long and short, lo>\n","Group 1 found at 1-593: `ong and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, l`\n","Group 2 found at 593-1185: `ong and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, l`\n","Group 3 found at 593-1185: `ong and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, l`\n","(0, 1184, 1184)\n","父亲又想起大约七八年前的一个晚上，我奶奶喝醉了酒，在我家烧酒作坊的院子里，有一个高粱叶子垛，奶奶倚在草垛上，搂住罗汉大爷的肩，呢呢喃喃地说：“大叔…… 你别走。\n","================================================================================\n","Then he thought back to a night some seven or eight years earlier, when Grandma, drunk at the time, had stood in the distillery yard beside a pile of sorghum leaves, her arms around Uncle Arhat's shoulders. 'Uncle . . . don't leave,' she pleaded.\n","================================================================================\n","Father remembered a night about seven or eight years ago when Grandma had gotten drunk in the courtyard of the distillery where he worked. She was leaning against a stack of sorghum leaves, holding her husband's arm, and talking to him in a drunken whisper. 'Big Uncle . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(268, 737), match=' . . . . . . . . . . . . . . . . . . . . . . . . >\n","Group 1 found at 268-502: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n","Group 2 found at 502-737: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . `\n","Group 3 found at 502-736: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n","(0, 469, 469)\n","太阳是从屋顶上喷薄而出，坎坎坷坷的，光是打折的光，这是由无数细碎集合而成的壮观，是由无数耐心集合而成的巨大的力。\n","================================================================================\n","Coming up over the longtang rooftops, the sun shoots out its belabored rays—a majestic sight pieced together from countless minute fragments, an immense power born of immeasurable patience.\n","================================================================================\n","The sun bursts out from the roof, a thin, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering,\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(40, 904), match=', shimmering, shimmering, shimmering, shimmering,>\n","Group 1 found at 40-472: `, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering`\n","Group 2 found at 472-904: `, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering`\n","Group 3 found at 472-904: `, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering`\n","(0, 864, 864)\n","那男孩略一迟疑，道：“我叫…… 叫小玄子。\n","================================================================================\n","After a moment's hesitation the boy replied: 'Mine's . . . People call me Misty.\n","================================================================================\n","The boy hesitated a moment. 'I am called . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(40, 617), match=' . . . . . . . . . . . . . . . . . . . . . . . . >\n","Group 1 found at 40-328: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n","Group 2 found at 328-617: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . `\n","Group 3 found at 328-616: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n","(0, 577, 577)\n","他想着：“兄弟们一并都有父母教训，何必我多事，反生疏了。 况且我是正出，他是庶出，饶这样看待，还有人背后谈论，还禁得辖治了他？”\n","================================================================================\n","'We are both equally subject to our parents' control,' he would say of himself and Jia Huan. 'Why should I create a greater distance between us by trying to control him myself – especially when I am the wife's son and he is the concubine's? People already talk behind our backs, even when I do nothing. It would be ten times worse if I were to start bossing him about.'\n","================================================================================\n","He thought to himself, 'Brothers, all of you have been taught by your parents. Why should I be the one to do more? Besides, I am the eldest, and you are the younger. Why should I be so hard on you? And if I am so hard on you, how can I expect you to be so hard on me? And if I am so hard on you, how can I expect you to keep quiet about me? And if I am so hard on you, how can I expect you to keep quiet about me?'\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(263, 410), match=' me? And if I am so hard on you, how can I expect>\n","Group 1 found at 263-336: ` me? And if I am so hard on you, how can I expect you to keep quiet about`\n","Group 2 found at 336-410: ` me? And if I am so hard on you, how can I expect you to keep quiet about `\n","Group 3 found at 336-409: ` me? And if I am so hard on you, how can I expect you to keep quiet about`\n","(0, 147, 147)\n","\n","*** Found 5 rows with output_tokens >= 300 for microsoft/Phi-3.5-mini-instruct/epochs-05\n","--------------------------------------------------\n","chinese: 谁知狗儿利名心重，听如此说，心下便有些活动； 又听他妻子这番话，便笑道：“老老既这么说，况且当日你又见过这姑太太一次，为什么不你老人家明日就去走一遭，先试试风头儿去？”\n","--------------------------------------------------\n","english: Gou-er's cupidity, however, had been aroused by the words of his mother-in-law, and his reaction to them was less discouraging than his wife's. 'Well, if it's as you say, Grannie, and being as you've already seen this lady, why not go there yourself and spy out the land for us?'\n","--------------------------------------------------\n","microsoft/Phi-3.5-mini-instruct/epochs-05: But the dog's heart was soft, and he was moved by what he had heard. He was also amused by the words of his wife, and said to her: 'If you say so, then I'll go and see Granddad tomorrow. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and see him. I'll go and\n","--------------------------------------------------\n","output_tokens-microsoft/Phi-3.5-mini-instruct/epochs-05: 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","microsoft/Phi-3.5-mini-instruct/epochs-05: Long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short,\n","--------------------------------------------------\n","output_tokens-microsoft/Phi-3.5-mini-instruct/epochs-05: 300\n","--------------------------------------------------\n","chinese: 父亲又想起大约七八年前的一个晚上，我奶奶喝醉了酒，在我家烧酒作坊的院子里，有一个高粱叶子垛，奶奶倚在草垛上，搂住罗汉大爷的肩，呢呢喃喃地说：“大叔…… 你别走。\n","--------------------------------------------------\n","english: Then he thought back to a night some seven or eight years earlier, when Grandma, drunk at the time, had stood in the distillery yard beside a pile of sorghum leaves, her arms around Uncle Arhat's shoulders. 'Uncle . . . don't leave,' she pleaded.\n","--------------------------------------------------\n","microsoft/Phi-3.5-mini-instruct/epochs-05: Father remembered a night about seven or eight years ago when Grandma had gotten drunk in the courtyard of the distillery where he worked. She was leaning against a stack of sorghum leaves, holding her husband's arm, and talking to him in a drunken whisper. 'Big Uncle . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n","--------------------------------------------------\n","output_tokens-microsoft/Phi-3.5-mini-instruct/epochs-05: 300\n","--------------------------------------------------\n","chinese: 太阳是从屋顶上喷薄而出，坎坎坷坷的，光是打折的光，这是由无数细碎集合而成的壮观，是由无数耐心集合而成的巨大的力。\n","--------------------------------------------------\n","english: Coming up over the longtang rooftops, the sun shoots out its belabored rays—a majestic sight pieced together from countless minute fragments, an immense power born of immeasurable patience.\n","--------------------------------------------------\n","microsoft/Phi-3.5-mini-instruct/epochs-05: The sun bursts out from the roof, a thin, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering, shimmering,\n","--------------------------------------------------\n","output_tokens-microsoft/Phi-3.5-mini-instruct/epochs-05: 300\n","--------------------------------------------------\n","chinese: 那男孩略一迟疑，道：“我叫…… 叫小玄子。\n","--------------------------------------------------\n","english: After a moment's hesitation the boy replied: 'Mine's . . . People call me Misty.\n","--------------------------------------------------\n","microsoft/Phi-3.5-mini-instruct/epochs-05: The boy hesitated a moment. 'I am called . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n","--------------------------------------------------\n","output_tokens-microsoft/Phi-3.5-mini-instruct/epochs-05: 300\n","\n","*** Found 1 rows with incomplete translations for microsoft/Phi-3.5-mini-instruct/epochs-05\n","--------------------------------------------------\n","chinese: 大楼顶上出现了一个娇小的身影，那个美丽的女孩子挥动着一面“四·二八”的大旗，她的出现立刻招来了一阵杂乱的枪声，射击的武器五花八门，有陈旧的美式卡宾枪、捷克式机枪和三八大盖，也有崭新的制式步枪和冲锋枪——后者是在“八月社论”发表之后从军队中偷抢来的——连同那些梭标和大刀等冷兵器，构成了一部浓缩的近现代史……\n","--------------------------------------------------\n","english: The slender figure of a beautiful young girl emerged at the top of the building, waving the giant red banner of the April Twenty-eighth Brigade. Her appearance was greeted immediately by a cacophony of gunshots. The weapons attacking her were a diverse mix: antiques such as American carbines, Czech-style machine guns, Japanese Type-38 rifles; newer weapons such as standard-issue People's Liberation Army rifles and submachine guns, stolen from the PLA after the publication of the 'August Editorial'; and even a few Chinese dadao swords and spears. Together, they formed a condensed version of modern history.\n","--------------------------------------------------\n","microsoft/Phi-3.5-mini-instruct/epochs-05: A young woman appeared on the roof, waving a large '四·二八' flag. As soon as she appeared, a cacophony of gunfire erupted, with weapons of all kinds being used, including old-fashioned Mauser rifles, Czech machine guns, and three-eights-inch bayonets. There were also new-model rifles and automatic rifles, the latter having been stolen from the military after the publication of the August issue of the August Socialist. Along with these, there were bayonets, spears, and other cold weapons. All these weapons together formed a condensed history of modern times.\n","--------------------------------------------------\n","contains_chinese-microsoft/Phi-3.5-mini-instruct/epochs-05: 1\n","### Analyzing: microsoft/Phi-3.5-mini-instruct/epochs-06\n","*** Found 6 rows with total_repetitions > 50 for microsoft/Phi-3.5-mini-instruct/epochs-06\n","李嬷嬷站住，将手一拍，道：“你说，好好儿的，又看上了那个什么‘云哥儿’‘雨哥儿’的，这会子逼着我叫了他来。\n","================================================================================\n","Nannie Li made a flapping gesture with her hand: 'What do you think, my dear: His Nibs has taken a fancy to the young fellow who does the tree-planting — 'Yin' or 'Yun' or whatever his name is — so Nannie has to go and ask him in.\n","================================================================================\n","Li-mom stopped and gave her a little shake. 'You're right,' she said. 'I've been thinking about it. I've been thinking about that 'Cloud Boy' or 'Rain Boy' you've been telling me about. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(184, 1084), match=\". I've been thinking about him. I've been thinkin>\n","Group 1 found at 184-634: `. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him`\n","Group 2 found at 634-1084: `. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him`\n","Group 3 found at 634-1084: `. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him`\n","(0, 900, 900)\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 and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short,\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(1, 1185), match='ong and short, long and short, long and short, lo>\n","Group 1 found at 1-593: `ong and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, l`\n","Group 2 found at 593-1185: `ong and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, l`\n","Group 3 found at 593-1185: `ong and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, l`\n","(0, 1184, 1184)\n","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","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","'I beg your pardon, sir,' said Xue Pang, 'but I am afraid you are too much in the habit of making demands. I am sure you will not mind my asking you to be a little more patient with me. I am sure you will not mind my asking you to be a little more patient with me. I am sure you will not mind my asking you to be a little more patient with me. I am sure you will not mind my asking you to be a little more patient with me. I am sure you will not mind my asking you to be a little more patient with me. I am sure you will not mind my asking you to be a little more patient with me. I am sure you will not mind my asking you to be a little more patient with me. I am sure you will not mind my asking you to be a little more patient with me. I am sure you will not mind my asking you to be a little more patient with me. I am sure you will not mind my asking you to be a little more patient with me. I am sure you will not mind my asking you to be a little more patient with me. I am sure you will not mind my asking you to be a little more patient with me. I am sure you will not mind my asking you to be a little more patient with me. I am sure you will not mind my asking you to be a little more patient with me. I am\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(105, 1211), match='. I am sure you will not mind my asking you to be>\n","Group 1 found at 105-658: `. I am sure you will not mind my asking you to be a little more patient with me. I am sure you will not mind my asking you to be a little more patient with me. I am sure you will not mind my asking you to be a little more patient with me. I am sure you will not mind my asking you to be a little more patient with me. I am sure you will not mind my asking you to be a little more patient with me. I am sure you will not mind my asking you to be a little more patient with me. I am sure you will not mind my asking you to be a little more patient with me`\n","Group 2 found at 658-1211: `. I am sure you will not mind my asking you to be a little more patient with me. I am sure you will not mind my asking you to be a little more patient with me. I am sure you will not mind my asking you to be a little more patient with me. I am sure you will not mind my asking you to be a little more patient with me. I am sure you will not mind my asking you to be a little more patient with me. I am sure you will not mind my asking you to be a little more patient with me. I am sure you will not mind my asking you to be a little more patient with me`\n","Group 3 found at 658-1211: `. I am sure you will not mind my asking you to be a little more patient with me. I am sure you will not mind my asking you to be a little more patient with me. I am sure you will not mind my asking you to be a little more patient with me. I am sure you will not mind my asking you to be a little more patient with me. I am sure you will not mind my asking you to be a little more patient with me. I am sure you will not mind my asking you to be a little more patient with me. I am sure you will not mind my asking you to be a little more patient with me`\n","(0, 1106, 1106)\n","他听到我曾外祖父舌头僵硬地说：“闺女…… 你…… 一泡尿尿了这半天……\n","================================================================================\n","He heard Great-Granddad, whose tongue had grown thick in his mouth, say: 'Daughter . . . you . . . what took you so long to take a piss? . . .\n","================================================================================\n","He heard my great-grandfather's tongue twist as he said, 'Miss . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(62, 626), match=' . . . . . . . . . . . . . . . . . . . . . . . . >\n","Group 1 found at 62-344: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n","Group 2 found at 344-626: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n","Group 3 found at 344-626: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n","(0, 564, 564)\n","那男孩略一迟疑，道：“我叫…… 叫小玄子。\n","================================================================================\n","After a moment's hesitation the boy replied: 'Mine's . . . People call me Misty.\n","================================================================================\n","The boy hesitated for a moment. 'I am called . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(44, 620), match=' . . . . . . . . . . . . . . . . . . . . . . . . >\n","Group 1 found at 44-332: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n","Group 2 found at 332-620: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n","Group 3 found at 332-620: ` . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .`\n","(0, 576, 576)\n","韦小宝笑道：“你不会说话，不会动弹，安安静静的躺在这里，最乖不过。”\n","================================================================================\n","He laughed. 'You can't talk and you can't move! All you can do is just lie there like a good little girl!'\n","================================================================================\n","'You're a good boy, aren't you?' said Trinket. 'You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(48, 864), match=\"You're a very good boy. You're a very good boy. Y>\n","Group 1 found at 48-456: `You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. `\n","Group 2 found at 456-864: `You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. `\n","Group 3 found at 456-864: `You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. `\n","(0, 816, 816)\n","\n","*** Found 6 rows with output_tokens >= 300 for microsoft/Phi-3.5-mini-instruct/epochs-06\n","--------------------------------------------------\n","chinese: 李嬷嬷站住，将手一拍，道：“你说，好好儿的，又看上了那个什么‘云哥儿’‘雨哥儿’的，这会子逼着我叫了他来。\n","--------------------------------------------------\n","english: Nannie Li made a flapping gesture with her hand: 'What do you think, my dear: His Nibs has taken a fancy to the young fellow who does the tree-planting — 'Yin' or 'Yun' or whatever his name is — so Nannie has to go and ask him in.\n","--------------------------------------------------\n","microsoft/Phi-3.5-mini-instruct/epochs-06: Li-mom stopped and gave her a little shake. 'You're right,' she said. 'I've been thinking about it. I've been thinking about that 'Cloud Boy' or 'Rain Boy' you've been telling me about. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been thinking about him. I've been\n","--------------------------------------------------\n","output_tokens-microsoft/Phi-3.5-mini-instruct/epochs-06: 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","microsoft/Phi-3.5-mini-instruct/epochs-06: Long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short, long and short,\n","--------------------------------------------------\n","output_tokens-microsoft/Phi-3.5-mini-instruct/epochs-06: 300\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","microsoft/Phi-3.5-mini-instruct/epochs-06: 'I beg your pardon, sir,' said Xue Pang, 'but I am afraid you are too much in the habit of making demands. I am sure you will not mind my asking you to be a little more patient with me. I am sure you will not mind my asking you to be a little more patient with me. I am sure you will not mind my asking you to be a little more patient with me. I am sure you will not mind my asking you to be a little more patient with me. I am sure you will not mind my asking you to be a little more patient with me. I am sure you will not mind my asking you to be a little more patient with me. I am sure you will not mind my asking you to be a little more patient with me. I am sure you will not mind my asking you to be a little more patient with me. I am sure you will not mind my asking you to be a little more patient with me. I am sure you will not mind my asking you to be a little more patient with me. I am sure you will not mind my asking you to be a little more patient with me. I am sure you will not mind my asking you to be a little more patient with me. I am sure you will not mind my asking you to be a little more patient with me. I am sure you will not mind my asking you to be a little more patient with me. I am\n","--------------------------------------------------\n","output_tokens-microsoft/Phi-3.5-mini-instruct/epochs-06: 300\n","--------------------------------------------------\n","chinese: 他听到我曾外祖父舌头僵硬地说：“闺女…… 你…… 一泡尿尿了这半天……\n","--------------------------------------------------\n","english: He heard Great-Granddad, whose tongue had grown thick in his mouth, say: 'Daughter . . . you . . . what took you so long to take a piss? . . .\n","--------------------------------------------------\n","microsoft/Phi-3.5-mini-instruct/epochs-06: He heard my great-grandfather's tongue twist as he said, 'Miss . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n","--------------------------------------------------\n","output_tokens-microsoft/Phi-3.5-mini-instruct/epochs-06: 300\n","--------------------------------------------------\n","chinese: 那男孩略一迟疑，道：“我叫…… 叫小玄子。\n","--------------------------------------------------\n","english: After a moment's hesitation the boy replied: 'Mine's . . . People call me Misty.\n","--------------------------------------------------\n","microsoft/Phi-3.5-mini-instruct/epochs-06: The boy hesitated for a moment. 'I am called . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n","--------------------------------------------------\n","output_tokens-microsoft/Phi-3.5-mini-instruct/epochs-06: 300\n","--------------------------------------------------\n","chinese: 韦小宝笑道：“你不会说话，不会动弹，安安静静的躺在这里，最乖不过。”\n","--------------------------------------------------\n","english: He laughed. 'You can't talk and you can't move! All you can do is just lie there like a good little girl!'\n","--------------------------------------------------\n","microsoft/Phi-3.5-mini-instruct/epochs-06: 'You're a good boy, aren't you?' said Trinket. 'You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You're a very good boy. You\n","--------------------------------------------------\n","output_tokens-microsoft/Phi-3.5-mini-instruct/epochs-06: 300\n","\n","*** Found 0 rows with incomplete translations for microsoft/Phi-3.5-mini-instruct/epochs-06\n","### Analyzing: shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-01\n","*** Found 2 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-01\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, long, long, long, long, short, long, long, long, long, long, short, short, short, short, short, long, long, long, short, short, long, long, long, long, short, short, short, long, long, long, long, long, short, short, short, short, long, long, long, long, long, short, short, short, long, long, long, long, long, short, short, short, long, long, long, long, long, short, short, short, long, long, long, long, long, short, short, short, long, long, long, long, long, short, short, short, long, long, long, long, long, short, short, short, long, long, long, long, long, short, short, short, long, long, long, long, long, short, short, short, long, long, long, long, long, short, short, short, long, long, long, long, long, short, short, short, long, long, long, long, long, short, short, short, long, long, long, long, long, short, short, short, long, long, long, long, long, short, short, short, long, long, long, long, long, short, short, short, long,\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(1, 25), match='ong, long, long, long, l'>\n","Group 1 found at 1-13: `ong, long, l`\n","Group 2 found at 13-25: `ong, long, l`\n","Group 3 found at 13-25: `ong, long, l`\n","<re.Match object; span=(35, 59), match=', long, long, long, long'>\n","Group 1 found at 35-47: `, long, long`\n","Group 2 found at 47-59: `, long, long`\n","Group 3 found at 47-59: `, long, long`\n","<re.Match object; span=(65, 93), match=', short, short, short, short'>\n","Group 1 found at 65-79: `, short, short`\n","Group 2 found at 79-93: `, short, short`\n","Group 3 found at 79-93: `, short, short`\n","<re.Match object; span=(100, 118), match=', long, long, long'>\n","Group 1 found at 100-106: `, long`\n","Group 2 found at 112-118: `, long`\n","Group 3 found at 112-118: `, long`\n","<re.Match object; span=(118, 132), match=', short, short'>\n","Group 1 found at 118-125: `, short`\n","Group 2 found at 125-132: `, short`\n","Group 3 found at 125-132: `, short`\n","<re.Match object; span=(132, 156), match=', long, long, long, long'>\n","Group 1 found at 132-144: `, long, long`\n","Group 2 found at 144-156: `, long, long`\n","Group 3 found at 144-156: `, long, long`\n","<re.Match object; span=(156, 272), match=', short, short, short, long, long, long, long, lo>\n","Group 1 found at 156-214: `, short, short, short, long, long, long, long, long, short`\n","Group 2 found at 214-272: `, short, short, short, long, long, long, long, long, short`\n","Group 3 found at 214-272: `, short, short, short, long, long, long, long, long, short`\n","<re.Match object; span=(272, 884), match=', short, short, long, long, long, long, long, sho>\n","Group 1 found at 272-578: `, short, short, long, long, long, long, long, short, short, short, long, long, long, long, long, short, short, short, long, long, long, long, long, short, short, short, long, long, long, long, long, short, short, short, long, long, long, long, long, short, short, short, long, long, long, long, long, short`\n","Group 2 found at 578-884: `, short, short, long, long, long, long, long, short, short, short, long, long, long, long, long, short, short, short, long, long, long, long, long, short, short, short, long, long, long, long, long, short, short, short, long, long, long, long, long, short, short, short, long, long, long, long, long, short`\n","Group 3 found at 578-884: `, short, short, long, long, long, long, long, short, short, short, long, long, long, long, long, short, short, short, long, long, long, long, long, short, short, short, long, long, long, long, long, short, short, short, long, long, long, long, long, short, short, short, long, long, long, long, long, short`\n","<re.Match object; span=(884, 898), match=', short, short'>\n","Group 1 found at 884-891: `, short`\n","Group 2 found at 891-898: `, short`\n","Group 3 found at 891-898: `, short`\n","<re.Match object; span=(898, 922), match=', long, long, long, long'>\n","Group 1 found at 898-910: `, long, long`\n","Group 2 found at 910-922: `, long, long`\n","Group 3 found at 910-922: `, long, long`\n","<re.Match object; span=(928, 949), match=', short, short, short'>\n","Group 1 found at 928-935: `, short`\n","Group 2 found at 942-949: `, short`\n","Group 3 found at 942-949: `, short`\n","(0, 919, 919)\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 begged, 'Please, Eighth Route Army, have mercy on me. Please, Eighth Route Army, have mercy on me...'\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(43, 132), match='Please, Eighth Route Army, have mercy on me. Plea>\n","Group 1 found at 43-87: `Please, Eighth Route Army, have mercy on me.`\n","Group 2 found at 88-132: `Please, Eighth Route Army, have mercy on me.`\n","Group 3 found at 88-132: `Please, Eighth Route Army, have mercy on me.`\n","(0, 89, 89)\n","\n","*** Found 1 rows with output_tokens >= 300 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-01\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/Llama3.1-70B-Chinese-Chat/epochs-01: Long, long, long, long, long, short, long, long, long, long, long, short, short, short, short, short, long, long, long, short, short, long, long, long, long, short, short, short, long, long, long, long, long, short, short, short, short, long, long, long, long, long, short, short, short, long, long, long, long, long, short, short, short, long, long, long, long, long, short, short, short, long, long, long, long, long, short, short, short, long, long, long, long, long, short, short, short, long, long, long, long, long, short, short, short, long, long, long, long, long, short, short, short, long, long, long, long, long, short, short, short, long, long, long, long, long, short, short, short, long, long, long, long, long, short, short, short, long, long, long, long, long, short, short, short, long, long, long, long, long, short, short, short, long, long, long, long, long, short, short, short, long, long, long, long, long, short, short, short, long,\n","--------------------------------------------------\n","output_tokens-shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-01: 300\n","\n","*** Found 0 rows with incomplete translations for shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-01\n","### Analyzing: shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-02\n","*** Found 0 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-02\n","\n","*** Found 0 rows with output_tokens >= 300 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-02\n","\n","*** Found 0 rows with incomplete translations for shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-02\n","### Analyzing: shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-03\n","*** Found 0 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-03\n","\n","*** Found 0 rows with output_tokens >= 300 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-03\n","\n","*** Found 0 rows with incomplete translations for shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-03\n","### Analyzing: shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-04\n","*** Found 0 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-04\n","\n","*** Found 0 rows with output_tokens >= 300 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-04\n","\n","*** Found 0 rows with incomplete translations for shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-04\n","### Analyzing: shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-05\n","*** Found 0 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-05\n","\n","*** Found 0 rows with output_tokens >= 300 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-05\n","\n","*** Found 0 rows with incomplete translations for shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-05\n","### Analyzing: shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-06\n","*** Found 0 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-06\n","\n","*** Found 0 rows with output_tokens >= 300 for shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-06\n","\n","*** Found 0 rows with incomplete translations for shenzhi-wang/Llama3.1-70B-Chinese-Chat/epochs-06\n","### Analyzing: shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-01\n","*** Found 3 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-01\n","“有…… 没有…… 有…… 没有……\n","================================================================================\n","'Yes . . . no . . . yes . . . no . . .\n","================================================================================\n","'If there's a chance, there's no chance. If there's a chance, there's no chance. If there's a chance, there's no chance. If there's a chance, there's no chance.\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(1, 160), match=\"If there's a chance, there's no chance. If there'>\n","Group 1 found at 1-80: `If there's a chance, there's no chance. If there's a chance, there's no chance.`\n","Group 2 found at 81-160: `If there's a chance, there's no chance. If there's a chance, there's no chance.`\n","Group 3 found at 81-160: `If there's a chance, there's no chance. If there's a chance, there's no chance.`\n","(0, 159, 159)\n","不过…… 不过……”\n","================================================================================\n","'But. . . but—'\n","================================================================================\n","But, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but,\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(1, 741), match='ut, but, but, but, but, but, but, but, but, but, >\n","Group 1 found at 1-371: `ut, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, b`\n","Group 2 found at 371-741: `ut, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, b`\n","Group 3 found at 371-741: `ut, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, b`\n","(0, 740, 740)\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","'Please, Eighth Route Army, please spare my life. Please, Eighth Route Army, please spare my life.'\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(1, 98), match='Please, Eighth Route Army, please spare my life. >\n","Group 1 found at 1-49: `Please, Eighth Route Army, please spare my life.`\n","Group 2 found at 50-98: `Please, Eighth Route Army, please spare my life.`\n","Group 3 found at 50-98: `Please, Eighth Route Army, please spare my life.`\n","(0, 97, 97)\n","\n","*** Found 1 rows with output_tokens >= 300 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-01\n","--------------------------------------------------\n","chinese: 不过…… 不过……”\n","--------------------------------------------------\n","english: 'But. . . but—'\n","--------------------------------------------------\n","shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-01: But, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but, but,\n","--------------------------------------------------\n","output_tokens-shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-01: 300\n","\n","*** Found 0 rows with incomplete translations for shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-01\n","### Analyzing: shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-02\n","*** Found 1 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-02\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, begging for mercy: 'Eighty-eight, Eighty-eight, spare my life, Eighty-eight, Eighty-eight, spare my life...'\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(53, 81), match='Eighty-eight, Eighty-eight, '>\n","Group 1 found at 53-67: `Eighty-eight, `\n","Group 2 found at 67-81: `Eighty-eight, `\n","Group 3 found at 67-81: `Eighty-eight, `\n","<re.Match object; span=(94, 122), match=', Eighty-eight, Eighty-eight'>\n","Group 1 found at 94-108: `, Eighty-eight`\n","Group 2 found at 108-122: `, Eighty-eight`\n","Group 3 found at 108-122: `, Eighty-eight`\n","(0, 56, 56)\n","\n","*** Found 0 rows with output_tokens >= 300 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-02\n","\n","*** Found 0 rows with incomplete translations for shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-02\n","### Analyzing: shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-03\n","*** Found 1 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-03\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/epochs-03\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/epochs-03: 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/epochs-03: 300\n","\n","*** Found 0 rows with incomplete translations for shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-03\n","### Analyzing: shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-04\n","*** Found 0 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-04\n","\n","*** Found 0 rows with output_tokens >= 300 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-04\n","\n","*** Found 1 rows with incomplete translations for shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-04\n","--------------------------------------------------\n","chinese: 爷爷说：“豆官，咱们…… 找你娘去吧……”\n","--------------------------------------------------\n","english: 'Douguan,' he said, 'let's go find your mother. . . .'\n","--------------------------------------------------\n","shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-04: '豆官, let's go look for your mom.'\n","--------------------------------------------------\n","contains_chinese-shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-04: 1\n","### Analyzing: shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-05\n","*** Found 0 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-05\n","\n","*** Found 0 rows with output_tokens >= 300 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-05\n","\n","*** Found 0 rows with incomplete translations for shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-05\n","### Analyzing: shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-06\n","*** Found 1 rows with total_repetitions > 50 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-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, pleading, 'Lords of the Revolution, spare me! Lords of the Revolution, spare me!'\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(44, 113), match='Lords of the Revolution, spare me! Lords of the R>\n","Group 1 found at 44-78: `Lords of the Revolution, spare me!`\n","Group 2 found at 79-113: `Lords of the Revolution, spare me!`\n","Group 3 found at 79-113: `Lords of the Revolution, spare me!`\n","(0, 69, 69)\n","\n","*** Found 0 rows with output_tokens >= 300 for shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-06\n","\n","*** Found 1 rows with incomplete translations for shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-06\n","--------------------------------------------------\n","chinese: 爷爷说：“豆官，咱们…… 找你娘去吧……”\n","--------------------------------------------------\n","english: 'Douguan,' he said, 'let's go find your mother. . . .'\n","--------------------------------------------------\n","shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-06: '豆-cripple, why don't we go and look for your mother?'\n","--------------------------------------------------\n","contains_chinese-shenzhi-wang/Llama3.1-8B-Chinese-Chat/epochs-06: 1\n","### Analyzing: shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-01\n","*** Found 4 rows with total_repetitions > 50 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-01\n","莺儿满心委屈，见姑娘说，不敢出声，只得放下钱来，口内嘟囔说：“一个做爷的，还赖我们这几个钱，连我也瞧不起!\n","================================================================================\n","Oriole smarted with the injustice of this, but her mistress had ordered it, so she had to pay up without arguing. She could not, however, forbear a few rebellious mutterings: 'Huh! One of the masters! Cheating a maid out of a few coppers! Even I should be ashamed!\n","================================================================================\n","She was so humiliated that she couldn't even speak up. She could only hand over the money and mumble, 'I'm not going to let you get away with this. I'm not going to let you get away with this.\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(103, 192), match=\"I'm not going to let you get away with this. I'm >\n","Group 1 found at 103-147: `I'm not going to let you get away with this.`\n","Group 2 found at 148-192: `I'm not going to let you get away with this.`\n","Group 3 found at 148-192: `I'm not going to let you get away with this.`\n","(0, 89, 89)\n","“有…… 没有…… 有…… 没有……\n","================================================================================\n","'Yes . . . no . . . yes . . . no . . .\n","================================================================================\n","'Yes, there are some. No, there aren't any. Yes, there are some. No, there aren't any.'\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(1, 86), match=\"Yes, there are some. No, there aren't any. Yes, t>\n","Group 1 found at 1-43: `Yes, there are some. No, there aren't any.`\n","Group 2 found at 44-86: `Yes, there are some. No, there aren't any.`\n","Group 3 found at 44-86: `Yes, there are some. No, there aren't any.`\n","(0, 85, 85)\n","一般总是严家师母说，王琦瑶听，说的和听的都入神。\n","================================================================================\n","Madame Yan did most of the talking while Wang Qiyao listened, but both were equally absorbed in the conversation.\n","================================================================================\n","'She's always been a dreamy girl,' said Yan-er-shi. 'She's always been a dreamy girl,' said Yan-er-shi.\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(0, 103), match=\"'She's always been a dreamy girl,' said Yan-er-sh>\n","Group 1 found at 0-51: `'She's always been a dreamy girl,' said Yan-er-shi.`\n","Group 2 found at 52-103: `'She's always been a dreamy girl,' said Yan-er-shi.`\n","Group 3 found at 52-103: `'She's always been a dreamy girl,' said Yan-er-shi.`\n","(0, 103, 103)\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, long, long, long, short, long, long, long, short, long, long, long, long, short, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long,\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(1, 113), match='ong, long, long, long, short, long, long, long, s>\n","Group 1 found at 1-57: `ong, long, long, long, short, long, long, long, short, l`\n","Group 2 found at 57-113: `ong, long, long, long, short, long, long, long, short, l`\n","Group 3 found at 57-113: `ong, long, long, long, short, long, long, long, short, l`\n","<re.Match object; span=(113, 919), match='ong, long, long, long, short, long, long, long, l>\n","Group 1 found at 113-516: `ong, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, l`\n","Group 2 found at 516-919: `ong, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, l`\n","Group 3 found at 516-919: `ong, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, l`\n","(0, 918, 918)\n","\n","*** Found 1 rows with output_tokens >= 300 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-01\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/Mistral-7B-v0.3-Chinese-Chat/epochs-01: Long, long, long, long, short, long, long, long, short, long, long, long, long, short, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long, long, long, short, long, long,\n","--------------------------------------------------\n","output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-01: 301\n","\n","*** Found 0 rows with incomplete translations for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-01\n","### Analyzing: shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-02\n","*** Found 2 rows with total_repetitions > 50 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-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, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, 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=(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=(55, 895), match=', long, long, long, long, long, long, long, long,>\n","Group 1 found at 55-475: `, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, 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 475-895: `, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, 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 475-895: `, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, 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, 890, 890)\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 2 rows with output_tokens >= 300 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-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/Mistral-7B-v0.3-Chinese-Chat/epochs-02: Short, long, long, long, short, long, long, 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,\n","--------------------------------------------------\n","output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-02: 301\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/epochs-02: '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/epochs-02: 301\n","\n","*** Found 0 rows with incomplete translations for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-02\n","### Analyzing: shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-03\n","*** Found 2 rows with total_repetitions > 50 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-03\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, short, short, 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,\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(1, 22), match='hort, short, short, s'>\n","Group 1 found at 1-8: `hort, s`\n","Group 2 found at 15-22: `hort, s`\n","Group 3 found at 15-22: `hort, s`\n","<re.Match object; span=(26, 902), match=', long, long, long, long, long, long, long, long,>\n","Group 1 found at 26-464: `, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, 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 464-902: `, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, 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 464-902: `, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, long, 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, 897, 897)\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","Sky, blue sky, green sky, stick-out-your-tongue-at-the-sky sky, you're dead, you're dead, you're dead, you're dead, you're dead!\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(62, 114), match=\", you're dead, you're dead, you're dead, you're d>\n","Group 1 found at 62-88: `, you're dead, you're dead`\n","Group 2 found at 88-114: `, you're dead, you're dead`\n","Group 3 found at 88-114: `, you're dead, you're dead`\n","(0, 52, 52)\n","\n","*** Found 1 rows with output_tokens >= 300 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-03\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/Mistral-7B-v0.3-Chinese-Chat/epochs-03: Short, short, short, 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,\n","--------------------------------------------------\n","output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-03: 301\n","\n","*** Found 0 rows with incomplete translations for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-03\n","### Analyzing: shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-04\n","*** Found 2 rows with total_repetitions > 50 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-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-short-short-long-long-long-short-long-long-long-short-short-short-long-long-long-short-long-long-long-short-long-long-long-short-short-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-\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(0, 108), match='short-short-short-long-long-long-short-long-long->\n","Group 1 found at 0-54: `short-short-short-long-long-long-short-long-long-long-`\n","Group 2 found at 54-108: `short-short-short-long-long-long-short-long-long-long-`\n","Group 3 found at 54-108: `short-short-short-long-long-long-short-long-long-long-`\n","<re.Match object; span=(113, 128), match='-long-long-long'>\n","Group 1 found at 113-118: `-long`\n","Group 2 found at 123-128: `-long`\n","Group 3 found at 123-128: `-long`\n","<re.Match object; span=(128, 146), match='-short-short-short'>\n","Group 1 found at 128-134: `-short`\n","Group 2 found at 140-146: `-short`\n","Group 3 found at 140-146: `-short`\n","<re.Match object; span=(146, 756), match='-long-long-long-long-long-long-long-long-long-lon>\n","Group 1 found at 146-451: `-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-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 451-756: `-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`\n","Group 3 found at 451-756: `-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`\n","(0, 751, 751)\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","Sky, sky, blue sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(14, 745), match=' sky, sky, sky, sky, sky, sky, sky, sky, sky, sky>\n","Group 1 found at 14-379: ` sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky,`\n","Group 2 found at 379-745: ` sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, `\n","Group 3 found at 379-744: ` sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky,`\n","(0, 731, 731)\n","\n","*** Found 2 rows with output_tokens >= 300 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-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","shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-04: short-short-short-long-long-long-short-long-long-long-short-short-short-long-long-long-short-long-long-long-short-long-long-long-short-short-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-\n","--------------------------------------------------\n","output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-04: 301\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/epochs-04: Sky, sky, blue sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky\n","--------------------------------------------------\n","output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-04: 301\n","\n","*** Found 0 rows with incomplete translations for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-04\n","### Analyzing: shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-05\n","*** Found 2 rows with total_repetitions > 50 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-05\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-short-short-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-\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(0, 24), match='short-short-short-short-'>\n","Group 1 found at 0-12: `short-short-`\n","Group 2 found at 12-24: `short-short-`\n","Group 3 found at 12-24: `short-short-`\n","<re.Match object; span=(24, 754), match='long-long-long-long-long-long-long-long-long-long>\n","Group 1 found at 24-389: `long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-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 389-754: `long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-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 389-754: `long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-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, 754, 754)\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","Sky, sky, blue sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(14, 745), match=' sky, sky, sky, sky, sky, sky, sky, sky, sky, sky>\n","Group 1 found at 14-379: ` sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky,`\n","Group 2 found at 379-745: ` sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, `\n","Group 3 found at 379-744: ` sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky,`\n","(0, 731, 731)\n","\n","*** Found 2 rows with output_tokens >= 300 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-05\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/Mistral-7B-v0.3-Chinese-Chat/epochs-05: short-short-short-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-\n","--------------------------------------------------\n","output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-05: 301\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/epochs-05: Sky, sky, blue sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky\n","--------------------------------------------------\n","output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-05: 301\n","\n","*** Found 0 rows with incomplete translations for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-05\n","### Analyzing: shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-06\n","*** Found 3 rows with total_repetitions > 50 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-06\n","他说我以前的说话中有扬州腔调，恐怕…… 恐怕…… 那么他眼睛给我弄瞎这回事，他知不知道？”\n","================================================================================\n","'I thought he said just now that I used to have a Yangzhou accent. Perhaps . . . perhaps he does know that I blinded him.'\n","================================================================================\n","He said he thought my accent sounded Yangzhou once, and he was afraid . . . he was afraid . . . that he might . . . he might . . . blind my eyes. Does he know?'\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(55, 96), match=' he was afraid . . . he was afraid . . . '>\n","Group 1 found at 55-75: ` he was afraid . . .`\n","Group 2 found at 75-96: ` he was afraid . . . `\n","Group 3 found at 75-95: ` he was afraid . . .`\n","<re.Match object; span=(100, 131), match=' he might . . . he might . . . '>\n","Group 1 found at 100-115: ` he might . . .`\n","Group 2 found at 115-131: ` he might . . . `\n","Group 3 found at 115-130: ` he might . . .`\n","(0, 72, 72)\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-short-short-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-\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(0, 24), match='short-short-short-short-'>\n","Group 1 found at 0-12: `short-short-`\n","Group 2 found at 12-24: `short-short-`\n","Group 3 found at 12-24: `short-short-`\n","<re.Match object; span=(24, 754), match='long-long-long-long-long-long-long-long-long-long>\n","Group 1 found at 24-389: `long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-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 389-754: `long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-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 389-754: `long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-long-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, 754, 754)\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","Sky, sky, blue sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky\n","================================================================================\n","----detect excessive whitespaces----\n","----detect text repetitions----\n","<re.Match object; span=(14, 745), match=' sky, sky, sky, sky, sky, sky, sky, sky, sky, sky>\n","Group 1 found at 14-379: ` sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky,`\n","Group 2 found at 379-745: ` sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, `\n","Group 3 found at 379-744: ` sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky,`\n","(0, 731, 731)\n","\n","*** Found 2 rows with output_tokens >= 300 for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-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","shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-06: short-short-short-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-\n","--------------------------------------------------\n","output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-06: 301\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/epochs-06: Sky, sky, blue sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky, sky\n","--------------------------------------------------\n","output_tokens-shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-06: 301\n","\n","*** Found 0 rows with incomplete translations for shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/epochs-06\n","### Analyzing: gpt-4o-mini/epochs-01\n","*** Found 0 rows with total_repetitions > 50 for gpt-4o-mini/epochs-01\n","\n","*** Found 0 rows with output_tokens >= 300 for gpt-4o-mini/epochs-01\n","\n","*** Found 25 rows with incomplete translations for gpt-4o-mini/epochs-01\n","--------------------------------------------------\n","chinese: 因问贾环：“你输了多少钱？”\n","--------------------------------------------------\n","english: How much did you lose?'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-01: 因问贾环：“你输了多少钱？”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-01: 1\n","--------------------------------------------------\n","chinese: 宝玉便说：“打宝姐姐那里来。”\n","--------------------------------------------------\n","english: 'Bao-chai's.'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-01: 宝玉便说：“打宝姐姐那里来。”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-01: 1\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","gpt-4o-mini/epochs-01: One is that I mentioned in front of the慰问团 that I was once knocked unconscious, which embarrassed the military representative; the second is jealousy, so he has been fixing me all along.\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-01: 1\n","--------------------------------------------------\n","chinese: 不知到了何处。”\n","--------------------------------------------------\n","english: I don't know where he can have gone.'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-01: 不知到了何处。”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-01: 1\n","--------------------------------------------------\n","chinese: 海老公道：“只有个老娘。\n","--------------------------------------------------\n","english: 'Only a mother,' said the old eunuch.\n","--------------------------------------------------\n","gpt-4o-mini/epochs-01: 海老公道：“只有个老娘。\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-01: 1\n","--------------------------------------------------\n","chinese: 海老公道：“哼，掀住肩头有什么用？\n","--------------------------------------------------\n","english: 'That's no good!\n","--------------------------------------------------\n","gpt-4o-mini/epochs-01: 海老公道：“哼，掀住肩头有什么用？\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-01: 1\n","--------------------------------------------------\n","chinese: “有…… 没有…… 有…… 没有……\n","--------------------------------------------------\n","english: 'Yes . . . no . . . yes . . . no . . .\n","--------------------------------------------------\n","gpt-4o-mini/epochs-01: “有…… 没有…… 有…… 没有……”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-01: 1\n","--------------------------------------------------\n","chinese: 勒都！\n","--------------------------------------------------\n","english: Le Du!\n","--------------------------------------------------\n","gpt-4o-mini/epochs-01: 勒都！\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-01: 1\n","--------------------------------------------------\n","chinese: 奶奶心中的祷语把她的芳唇冲动。\n","--------------------------------------------------\n","english: Her silent prayer made her delicate lips tremble.\n","--------------------------------------------------\n","gpt-4o-mini/epochs-01: 奶奶心中的祷语把她的芳唇冲动。\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-01: 1\n","--------------------------------------------------\n","chinese: 周瑞家的道：“我的娘!\n","--------------------------------------------------\n","english: 'My dear good woman,' said the latter when they were out of earshot, 'whatever came over you?\n","--------------------------------------------------\n","gpt-4o-mini/epochs-01: 周瑞家的道：“我的娘!\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-01: 1\n","--------------------------------------------------\n","chinese: 大节下，老太太刚喜欢了一日。\n","--------------------------------------------------\n","english: This is the New Year holiday and Her Old Ladyship has been enjoying herself all day.\n","--------------------------------------------------\n","gpt-4o-mini/epochs-01: 大节下，老太太刚喜欢了一日。\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-01: 1\n","--------------------------------------------------\n","chinese: 王文义忍着咳嗽说，“嗓子眼儿发痒……”\n","--------------------------------------------------\n","english: Wang Wenyi stifled a cough. 'My throat itches. . . .'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-01: Wang Wenyì忍着咳嗽说，“嗓子眼儿发痒……”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-01: 1\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","gpt-4o-mini/epochs-01: 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","contains_chinese-gpt-4o-mini/epochs-01: 1\n","--------------------------------------------------\n","chinese: 待雄飞高举，明冬再晤，岂非大快之事！”\n","--------------------------------------------------\n","english: How delightful it will be to meet again next winter when you have distinguished yourself by soaring to the top over all the other candidates!'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-01: 待雄飞高举，明冬再晤，岂非大快之事！”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-01: 1\n","--------------------------------------------------\n","chinese: 不过…… 不过……”\n","--------------------------------------------------\n","english: 'But. . . but—'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-01: 不过…… 不过……\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-01: 1\n","--------------------------------------------------\n","chinese: 你那里肯往我这里来？”\n","--------------------------------------------------\n","english: 'What would you want to come here for?'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-01: 你那里肯往我这里来？”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-01: 1\n","--------------------------------------------------\n","chinese: 因问周瑞家的道：“这老老不知用了早饭没有呢？”\n","--------------------------------------------------\n","english: She turned to Zhou Rui's wife. 'I wonder if Grannie has eaten yet today?'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-01: 因问周瑞家的道：“这老老不知用了早饭没有呢？”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-01: 1\n","--------------------------------------------------\n","chinese: 那人只不做声，贾瑞便扯下自己的裤子来，硬帮帮就想顶入。\n","--------------------------------------------------\n","english: Throughout all of this not a single sound was uttered by his partner. Jia Rui now tore down his own trousers and prepared to thrust home his hard and throbbing member.\n","--------------------------------------------------\n","gpt-4o-mini/epochs-01: 那人只不做声，贾瑞便扯下自己的裤子来，硬帮帮就想顶入。\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-01: 1\n","--------------------------------------------------\n","chinese: 舍我罢！”\n","--------------------------------------------------\n","english: Give her to me!'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-01: 舍我罢！”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-01: 1\n","--------------------------------------------------\n","chinese: 鸡巴！\n","--------------------------------------------------\n","english: You pricks!\n","--------------------------------------------------\n","gpt-4o-mini/epochs-01: 鸡巴！\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-01: 1\n","--------------------------------------------------\n","chinese: 我师意为如何？”\n","--------------------------------------------------\n","english: What does your reverence say to that?'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-01: 我师意为如何？”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-01: 1\n","--------------------------------------------------\n","chinese: 蕊初低声道：“我…… 我……”\n","--------------------------------------------------\n","english: 'I. . . I. . .' Blossom began.\n","--------------------------------------------------\n","gpt-4o-mini/epochs-01: 蕊初低声道：“我…… 我……”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-01: 1\n","--------------------------------------------------\n","chinese: 余司令又叫：“豆官。”\n","--------------------------------------------------\n","english: Commander Yu turned to Father. 'Douguan,' he barked.\n","--------------------------------------------------\n","gpt-4o-mini/epochs-01: 余司令又叫：“豆官。”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-01: 1\n","--------------------------------------------------\n","chinese: 平安里的夜晚其实也是有许多想头的，只不过没有王琦瑶窗帘上的大花朵，映显不出来罢了。 许多想头都是沉在心底，沉渣一般。 全是叫生计熬炼的，挤干汁，沥干水，凝结成块，怎么样的激荡也泛不起来。\n","--------------------------------------------------\n","english: There was a great deal of thinking going on around Peace Lane, but much of it, like sediment, had sunk to the bottom of people's hearts, all the juice squeezed out of them, so that they had solidified and could no longer be stirred up.\n","--------------------------------------------------\n","gpt-4o-mini/epochs-01: The nights in Ping'anli actually have many thoughts, but they cannot be reflected without the big flowers on Wang Qiyao's curtains. Many thoughts are沉在心底, like沉渣. They are all refined by the grind of life, squeezed dry, drained of water, and condensed into blocks, no matter how much turbulence, they cannot rise up.\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-01: 1\n","--------------------------------------------------\n","chinese: 海老公道：“偷什么书？”\n","--------------------------------------------------\n","english: 'Which book?'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-01: 海老公道：“偷什么书？”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-01: 1\n","### Analyzing: gpt-4o-mini/epochs-02\n","*** Found 0 rows with total_repetitions > 50 for gpt-4o-mini/epochs-02\n","\n","*** Found 0 rows with output_tokens >= 300 for gpt-4o-mini/epochs-02\n","\n","*** Found 27 rows with incomplete translations for gpt-4o-mini/epochs-02\n","--------------------------------------------------\n","chinese: 因问贾环：“你输了多少钱？”\n","--------------------------------------------------\n","english: How much did you lose?'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-02: 因问贾环：“你输了多少钱？”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-02: 1\n","--------------------------------------------------\n","chinese: 宝玉便说：“打宝姐姐那里来。”\n","--------------------------------------------------\n","english: 'Bao-chai's.'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-02: 宝玉便说：“打宝姐姐那里来。”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-02: 1\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","gpt-4o-mini/epochs-02: One is that I mentioned in front of the慰问团 that I was once knocked unconscious, which embarrassed the military representative; the second is jealousy, so he has been fixing me all the time.\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-02: 1\n","--------------------------------------------------\n","chinese: 不知到了何处。”\n","--------------------------------------------------\n","english: I don't know where he can have gone.'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-02: 不知到了何处。”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-02: 1\n","--------------------------------------------------\n","chinese: 海老公道：“只有个老娘。\n","--------------------------------------------------\n","english: 'Only a mother,' said the old eunuch.\n","--------------------------------------------------\n","gpt-4o-mini/epochs-02: 海老公道：“只有个老娘。\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-02: 1\n","--------------------------------------------------\n","chinese: 海老公道：“哼，掀住肩头有什么用？\n","--------------------------------------------------\n","english: 'That's no good!\n","--------------------------------------------------\n","gpt-4o-mini/epochs-02: 海老公道：“哼，掀住肩头有什么用？\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-02: 1\n","--------------------------------------------------\n","chinese: “有…… 没有…… 有…… 没有……\n","--------------------------------------------------\n","english: 'Yes . . . no . . . yes . . . no . . .\n","--------------------------------------------------\n","gpt-4o-mini/epochs-02: “有…… 没有…… 有…… 没有……”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-02: 1\n","--------------------------------------------------\n","chinese: 勒都！\n","--------------------------------------------------\n","english: Le Du!\n","--------------------------------------------------\n","gpt-4o-mini/epochs-02: 勒都！\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-02: 1\n","--------------------------------------------------\n","chinese: 奶奶心中的祷语把她的芳唇冲动。\n","--------------------------------------------------\n","english: Her silent prayer made her delicate lips tremble.\n","--------------------------------------------------\n","gpt-4o-mini/epochs-02: 奶奶心中的祷语把她的芳唇冲动。\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-02: 1\n","--------------------------------------------------\n","chinese: 周瑞家的道：“我的娘!\n","--------------------------------------------------\n","english: 'My dear good woman,' said the latter when they were out of earshot, 'whatever came over you?\n","--------------------------------------------------\n","gpt-4o-mini/epochs-02: 周瑞家的道：“我的娘!\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-02: 1\n","--------------------------------------------------\n","chinese: 大节下，老太太刚喜欢了一日。\n","--------------------------------------------------\n","english: This is the New Year holiday and Her Old Ladyship has been enjoying herself all day.\n","--------------------------------------------------\n","gpt-4o-mini/epochs-02: 大节下，老太太刚喜欢了一日。\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-02: 1\n","--------------------------------------------------\n","chinese: 王文义忍着咳嗽说，“嗓子眼儿发痒……”\n","--------------------------------------------------\n","english: Wang Wenyi stifled a cough. 'My throat itches. . . .'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-02: Wang Wenyì忍着咳嗽说，“嗓子眼儿发痒……”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-02: 1\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","gpt-4o-mini/epochs-02: 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","contains_chinese-gpt-4o-mini/epochs-02: 1\n","--------------------------------------------------\n","chinese: 待雄飞高举，明冬再晤，岂非大快之事！”\n","--------------------------------------------------\n","english: How delightful it will be to meet again next winter when you have distinguished yourself by soaring to the top over all the other candidates!'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-02: 待雄飞高举，明冬再晤，岂非大快之事！”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-02: 1\n","--------------------------------------------------\n","chinese: 不过…… 不过……”\n","--------------------------------------------------\n","english: 'But. . . but—'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-02: 不过…… 不过……\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-02: 1\n","--------------------------------------------------\n","chinese: 你那里肯往我这里来？”\n","--------------------------------------------------\n","english: 'What would you want to come here for?'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-02: 你那里肯往我这里来？”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-02: 1\n","--------------------------------------------------\n","chinese: 因问周瑞家的道：“这老老不知用了早饭没有呢？”\n","--------------------------------------------------\n","english: She turned to Zhou Rui's wife. 'I wonder if Grannie has eaten yet today?'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-02: 因问周瑞家的道：“这老老不知用了早饭没有呢？”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-02: 1\n","--------------------------------------------------\n","chinese: 那人只不做声，贾瑞便扯下自己的裤子来，硬帮帮就想顶入。\n","--------------------------------------------------\n","english: Throughout all of this not a single sound was uttered by his partner. Jia Rui now tore down his own trousers and prepared to thrust home his hard and throbbing member.\n","--------------------------------------------------\n","gpt-4o-mini/epochs-02: 那人只不做声，贾瑞便扯下自己的裤子来，硬帮帮就想顶入。\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-02: 1\n","--------------------------------------------------\n","chinese: 舍我罢！”\n","--------------------------------------------------\n","english: Give her to me!'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-02: 舍我罢！”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-02: 1\n","--------------------------------------------------\n","chinese: 鸡巴！\n","--------------------------------------------------\n","english: You pricks!\n","--------------------------------------------------\n","gpt-4o-mini/epochs-02: 鸡巴！\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-02: 1\n","--------------------------------------------------\n","chinese: 我师意为如何？”\n","--------------------------------------------------\n","english: What does your reverence say to that?'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-02: 我师意为如何？\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-02: 1\n","--------------------------------------------------\n","chinese: 蕊初低声道：“我…… 我……”\n","--------------------------------------------------\n","english: 'I. . . I. . .' Blossom began.\n","--------------------------------------------------\n","gpt-4o-mini/epochs-02: 蕊初低声道：“我…… 我……”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-02: 1\n","--------------------------------------------------\n","chinese: 余司令又叫：“豆官。”\n","--------------------------------------------------\n","english: Commander Yu turned to Father. 'Douguan,' he barked.\n","--------------------------------------------------\n","gpt-4o-mini/epochs-02: 余司令又叫：“豆官。”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-02: 1\n","--------------------------------------------------\n","chinese: 余司令问。\n","--------------------------------------------------\n","english: Commander Yu asked him.\n","--------------------------------------------------\n","gpt-4o-mini/epochs-02: 余司令问。\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-02: 1\n","--------------------------------------------------\n","chinese: 怎么敦？ 正着敦反着敦？\n","--------------------------------------------------\n","english: How do you want to strengthen it, from the front or from the back?\n","--------------------------------------------------\n","gpt-4o-mini/epochs-02: 怎么敦？ 正着敦反着敦？\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-02: 1\n","--------------------------------------------------\n","chinese: 平安里的夜晚其实也是有许多想头的，只不过没有王琦瑶窗帘上的大花朵，映显不出来罢了。 许多想头都是沉在心底，沉渣一般。 全是叫生计熬炼的，挤干汁，沥干水，凝结成块，怎么样的激荡也泛不起来。\n","--------------------------------------------------\n","english: There was a great deal of thinking going on around Peace Lane, but much of it, like sediment, had sunk to the bottom of people's hearts, all the juice squeezed out of them, so that they had solidified and could no longer be stirred up.\n","--------------------------------------------------\n","gpt-4o-mini/epochs-02: The nights in Ping'anli actually have many thoughts, but they cannot be reflected without the big flowers on Wang Qiyao's curtains. Many thoughts are沉在心底, like沉渣. They are all refined by the grind of life, squeezed dry, drained of water, and condensed into blocks, no matter how much turbulence, they cannot rise up.\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-02: 1\n","--------------------------------------------------\n","chinese: 海老公道：“偷什么书？”\n","--------------------------------------------------\n","english: 'Which book?'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-02: 海老公道：“偷什么书？”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-02: 1\n","### Analyzing: gpt-4o-mini/epochs-03\n","*** Found 0 rows with total_repetitions > 50 for gpt-4o-mini/epochs-03\n","\n","*** Found 0 rows with output_tokens >= 300 for gpt-4o-mini/epochs-03\n","\n","*** Found 24 rows with incomplete translations for gpt-4o-mini/epochs-03\n","--------------------------------------------------\n","chinese: 因问贾环：“你输了多少钱？”\n","--------------------------------------------------\n","english: How much did you lose?'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-03: 因问贾环：“你输了多少钱？”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-03: 1\n","--------------------------------------------------\n","chinese: 宝玉便说：“打宝姐姐那里来。”\n","--------------------------------------------------\n","english: 'Bao-chai's.'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-03: 宝玉便说：“打宝姐姐那里来。”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-03: 1\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","gpt-4o-mini/epochs-03: One is that I mentioned in front of the慰问团 that I was once knocked unconscious, which embarrassed the military representative; the second is jealousy, so he has been fixing me all the time.\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-03: 1\n","--------------------------------------------------\n","chinese: 不知到了何处。”\n","--------------------------------------------------\n","english: I don't know where he can have gone.'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-03: 不知到了何处。”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-03: 1\n","--------------------------------------------------\n","chinese: 海老公道：“只有个老娘。\n","--------------------------------------------------\n","english: 'Only a mother,' said the old eunuch.\n","--------------------------------------------------\n","gpt-4o-mini/epochs-03: 海老公道：“只有个老娘。\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-03: 1\n","--------------------------------------------------\n","chinese: 海老公道：“哼，掀住肩头有什么用？\n","--------------------------------------------------\n","english: 'That's no good!\n","--------------------------------------------------\n","gpt-4o-mini/epochs-03: 海老公道：“哼，掀住肩头有什么用？\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-03: 1\n","--------------------------------------------------\n","chinese: “有…… 没有…… 有…… 没有……\n","--------------------------------------------------\n","english: 'Yes . . . no . . . yes . . . no . . .\n","--------------------------------------------------\n","gpt-4o-mini/epochs-03: “有…… 没有…… 有…… 没有……”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-03: 1\n","--------------------------------------------------\n","chinese: 勒都！\n","--------------------------------------------------\n","english: Le Du!\n","--------------------------------------------------\n","gpt-4o-mini/epochs-03: 勒都！\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-03: 1\n","--------------------------------------------------\n","chinese: 奶奶心中的祷语把她的芳唇冲动。\n","--------------------------------------------------\n","english: Her silent prayer made her delicate lips tremble.\n","--------------------------------------------------\n","gpt-4o-mini/epochs-03: 奶奶心中的祷语把她的芳唇冲动。\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-03: 1\n","--------------------------------------------------\n","chinese: 周瑞家的道：“我的娘!\n","--------------------------------------------------\n","english: 'My dear good woman,' said the latter when they were out of earshot, 'whatever came over you?\n","--------------------------------------------------\n","gpt-4o-mini/epochs-03: 周瑞家的道：“我的娘!\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-03: 1\n","--------------------------------------------------\n","chinese: 大节下，老太太刚喜欢了一日。\n","--------------------------------------------------\n","english: This is the New Year holiday and Her Old Ladyship has been enjoying herself all day.\n","--------------------------------------------------\n","gpt-4o-mini/epochs-03: 大节下，老太太刚喜欢了一日。\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-03: 1\n","--------------------------------------------------\n","chinese: 王文义忍着咳嗽说，“嗓子眼儿发痒……”\n","--------------------------------------------------\n","english: Wang Wenyi stifled a cough. 'My throat itches. . . .'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-03: Wang Wenyì忍着咳嗽说，“嗓子眼儿发痒……”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-03: 1\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","gpt-4o-mini/epochs-03: 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","contains_chinese-gpt-4o-mini/epochs-03: 1\n","--------------------------------------------------\n","chinese: 待雄飞高举，明冬再晤，岂非大快之事！”\n","--------------------------------------------------\n","english: How delightful it will be to meet again next winter when you have distinguished yourself by soaring to the top over all the other candidates!'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-03: 待雄飞高举，明冬再晤，岂非大快之事！”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-03: 1\n","--------------------------------------------------\n","chinese: 不过…… 不过……”\n","--------------------------------------------------\n","english: 'But. . . but—'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-03: 不过…… 不过……\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-03: 1\n","--------------------------------------------------\n","chinese: 你那里肯往我这里来？”\n","--------------------------------------------------\n","english: 'What would you want to come here for?'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-03: 你那里肯往我这里来？”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-03: 1\n","--------------------------------------------------\n","chinese: 因问周瑞家的道：“这老老不知用了早饭没有呢？”\n","--------------------------------------------------\n","english: She turned to Zhou Rui's wife. 'I wonder if Grannie has eaten yet today?'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-03: 因问周瑞家的道：“这老老不知用了早饭没有呢？”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-03: 1\n","--------------------------------------------------\n","chinese: 舍我罢！”\n","--------------------------------------------------\n","english: Give her to me!'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-03: 舍我罢！”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-03: 1\n","--------------------------------------------------\n","chinese: 鸡巴！\n","--------------------------------------------------\n","english: You pricks!\n","--------------------------------------------------\n","gpt-4o-mini/epochs-03: 鸡巴！\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-03: 1\n","--------------------------------------------------\n","chinese: 我师意为如何？”\n","--------------------------------------------------\n","english: What does your reverence say to that?'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-03: 我师意为如何？”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-03: 1\n","--------------------------------------------------\n","chinese: 蕊初低声道：“我…… 我……”\n","--------------------------------------------------\n","english: 'I. . . I. . .' Blossom began.\n","--------------------------------------------------\n","gpt-4o-mini/epochs-03: 蕊初低声道：“我…… 我……”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-03: 1\n","--------------------------------------------------\n","chinese: 余司令又叫：“豆官。”\n","--------------------------------------------------\n","english: Commander Yu turned to Father. 'Douguan,' he barked.\n","--------------------------------------------------\n","gpt-4o-mini/epochs-03: 余司令又叫：“豆官。”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-03: 1\n","--------------------------------------------------\n","chinese: 平安里的夜晚其实也是有许多想头的，只不过没有王琦瑶窗帘上的大花朵，映显不出来罢了。 许多想头都是沉在心底，沉渣一般。 全是叫生计熬炼的，挤干汁，沥干水，凝结成块，怎么样的激荡也泛不起来。\n","--------------------------------------------------\n","english: There was a great deal of thinking going on around Peace Lane, but much of it, like sediment, had sunk to the bottom of people's hearts, all the juice squeezed out of them, so that they had solidified and could no longer be stirred up.\n","--------------------------------------------------\n","gpt-4o-mini/epochs-03: The night in Ping'an Li actually has many thoughts, but they cannot be reflected without the large flowers on Wang Qiyao's curtains. Many thoughts are沉在心底, like沉渣. They are all refined by the grind of life, squeezed dry, drained of water, and condensed into blocks, no matter how much turbulence, they cannot rise up.\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-03: 1\n","--------------------------------------------------\n","chinese: 海老公道：“偷什么书？”\n","--------------------------------------------------\n","english: 'Which book?'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-03: 海老公道：“偷什么书？”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-03: 1\n","### Analyzing: gpt-4o-mini/epochs-04\n","*** Found 0 rows with total_repetitions > 50 for gpt-4o-mini/epochs-04\n","\n","*** Found 0 rows with output_tokens >= 300 for gpt-4o-mini/epochs-04\n","\n","*** Found 24 rows with incomplete translations for gpt-4o-mini/epochs-04\n","--------------------------------------------------\n","chinese: 因问贾环：“你输了多少钱？”\n","--------------------------------------------------\n","english: How much did you lose?'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-04: 因问贾环：“你输了多少钱？”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-04: 1\n","--------------------------------------------------\n","chinese: 宝玉便说：“打宝姐姐那里来。”\n","--------------------------------------------------\n","english: 'Bao-chai's.'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-04: 宝玉便说：“打宝姐姐那里来。”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-04: 1\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","gpt-4o-mini/epochs-04: One is that I mentioned in front of the慰问团 that I was once knocked unconscious, which embarrassed the military representative; the second is jealousy, so he has been fixing me all the time.\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-04: 1\n","--------------------------------------------------\n","chinese: 不知到了何处。”\n","--------------------------------------------------\n","english: I don't know where he can have gone.'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-04: 不知到了何处。”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-04: 1\n","--------------------------------------------------\n","chinese: 海老公道：“只有个老娘。\n","--------------------------------------------------\n","english: 'Only a mother,' said the old eunuch.\n","--------------------------------------------------\n","gpt-4o-mini/epochs-04: 海老公道：“只有个老娘。\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-04: 1\n","--------------------------------------------------\n","chinese: 海老公道：“哼，掀住肩头有什么用？\n","--------------------------------------------------\n","english: 'That's no good!\n","--------------------------------------------------\n","gpt-4o-mini/epochs-04: 海老公道：“哼，掀住肩头有什么用？\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-04: 1\n","--------------------------------------------------\n","chinese: “有…… 没有…… 有…… 没有……\n","--------------------------------------------------\n","english: 'Yes . . . no . . . yes . . . no . . .\n","--------------------------------------------------\n","gpt-4o-mini/epochs-04: “有…… 没有…… 有…… 没有……”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-04: 1\n","--------------------------------------------------\n","chinese: 勒都！\n","--------------------------------------------------\n","english: Le Du!\n","--------------------------------------------------\n","gpt-4o-mini/epochs-04: 勒都！\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-04: 1\n","--------------------------------------------------\n","chinese: 奶奶心中的祷语把她的芳唇冲动。\n","--------------------------------------------------\n","english: Her silent prayer made her delicate lips tremble.\n","--------------------------------------------------\n","gpt-4o-mini/epochs-04: 奶奶心中的祷语把她的芳唇冲动。\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-04: 1\n","--------------------------------------------------\n","chinese: 周瑞家的道：“我的娘!\n","--------------------------------------------------\n","english: 'My dear good woman,' said the latter when they were out of earshot, 'whatever came over you?\n","--------------------------------------------------\n","gpt-4o-mini/epochs-04: 周瑞家的道：“我的娘!\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-04: 1\n","--------------------------------------------------\n","chinese: 大节下，老太太刚喜欢了一日。\n","--------------------------------------------------\n","english: This is the New Year holiday and Her Old Ladyship has been enjoying herself all day.\n","--------------------------------------------------\n","gpt-4o-mini/epochs-04: 大节下，老太太刚喜欢了一日。\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-04: 1\n","--------------------------------------------------\n","chinese: 王文义忍着咳嗽说，“嗓子眼儿发痒……”\n","--------------------------------------------------\n","english: Wang Wenyi stifled a cough. 'My throat itches. . . .'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-04: Wang Wenyì忍着咳嗽说，“嗓子眼儿发痒……”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-04: 1\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","gpt-4o-mini/epochs-04: 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","contains_chinese-gpt-4o-mini/epochs-04: 1\n","--------------------------------------------------\n","chinese: 待雄飞高举，明冬再晤，岂非大快之事！”\n","--------------------------------------------------\n","english: How delightful it will be to meet again next winter when you have distinguished yourself by soaring to the top over all the other candidates!'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-04: 待雄飞高举，明冬再晤，岂非大快之事！”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-04: 1\n","--------------------------------------------------\n","chinese: 不过…… 不过……”\n","--------------------------------------------------\n","english: 'But. . . but—'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-04: 不过…… 不过……\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-04: 1\n","--------------------------------------------------\n","chinese: 因问周瑞家的道：“这老老不知用了早饭没有呢？”\n","--------------------------------------------------\n","english: She turned to Zhou Rui's wife. 'I wonder if Grannie has eaten yet today?'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-04: 因问周瑞家的道：“这老老不知用了早饭没有呢？”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-04: 1\n","--------------------------------------------------\n","chinese: 舍我罢！”\n","--------------------------------------------------\n","english: Give her to me!'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-04: 舍我罢！”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-04: 1\n","--------------------------------------------------\n","chinese: 鸡巴！\n","--------------------------------------------------\n","english: You pricks!\n","--------------------------------------------------\n","gpt-4o-mini/epochs-04: 鸡巴！\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-04: 1\n","--------------------------------------------------\n","chinese: 我师意为如何？”\n","--------------------------------------------------\n","english: What does your reverence say to that?'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-04: 我师意为如何？”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-04: 1\n","--------------------------------------------------\n","chinese: 蕊初低声道：“我…… 我……”\n","--------------------------------------------------\n","english: 'I. . . I. . .' Blossom began.\n","--------------------------------------------------\n","gpt-4o-mini/epochs-04: 蕊初低声道：“我…… 我……”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-04: 1\n","--------------------------------------------------\n","chinese: 余司令又叫：“豆官。”\n","--------------------------------------------------\n","english: Commander Yu turned to Father. 'Douguan,' he barked.\n","--------------------------------------------------\n","gpt-4o-mini/epochs-04: 余司令又叫：“豆官。”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-04: 1\n","--------------------------------------------------\n","chinese: 前几次的亮是那种敞亮，大放光明，无遮无挡的。\n","--------------------------------------------------\n","english: During the previous few takes the light had been marked by an unbridled brilliance.\n","--------------------------------------------------\n","gpt-4o-mini/epochs-04: The brightness from a few times ago was that kind of open and bright, shining brightly, without any遮挡.\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-04: 1\n","--------------------------------------------------\n","chinese: 平安里的夜晚其实也是有许多想头的，只不过没有王琦瑶窗帘上的大花朵，映显不出来罢了。 许多想头都是沉在心底，沉渣一般。 全是叫生计熬炼的，挤干汁，沥干水，凝结成块，怎么样的激荡也泛不起来。\n","--------------------------------------------------\n","english: There was a great deal of thinking going on around Peace Lane, but much of it, like sediment, had sunk to the bottom of people's hearts, all the juice squeezed out of them, so that they had solidified and could no longer be stirred up.\n","--------------------------------------------------\n","gpt-4o-mini/epochs-04: The nights in Ping'an Li actually have many thoughts, but they cannot be reflected without the large flowers on Wang Qiyao's curtains. Many thoughts are沉在心底, like沉渣. They are all refined by the grind of life, squeezed dry, drained of water, and condensed into blocks, no matter how much turbulence there is, they cannot rise up.\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-04: 1\n","--------------------------------------------------\n","chinese: 海老公道：“偷什么书？”\n","--------------------------------------------------\n","english: 'Which book?'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-04: 海老公道：“偷什么书？”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-04: 1\n","### Analyzing: gpt-4o-mini/epochs-05\n","*** Found 0 rows with total_repetitions > 50 for gpt-4o-mini/epochs-05\n","\n","*** Found 0 rows with output_tokens >= 300 for gpt-4o-mini/epochs-05\n","\n","*** Found 23 rows with incomplete translations for gpt-4o-mini/epochs-05\n","--------------------------------------------------\n","chinese: 宝玉便说：“打宝姐姐那里来。”\n","--------------------------------------------------\n","english: 'Bao-chai's.'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-05: 宝玉便说：“打宝姐姐那里来。”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-05: 1\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","gpt-4o-mini/epochs-05: One is that I mentioned in front of the慰问团 that I was once knocked unconscious, which embarrassed the military representative; the second is jealousy, so he has been fixing me all along.\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-05: 1\n","--------------------------------------------------\n","chinese: 不知到了何处。”\n","--------------------------------------------------\n","english: I don't know where he can have gone.'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-05: 不知到了何处。”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-05: 1\n","--------------------------------------------------\n","chinese: 海老公道：“只有个老娘。\n","--------------------------------------------------\n","english: 'Only a mother,' said the old eunuch.\n","--------------------------------------------------\n","gpt-4o-mini/epochs-05: 海老公道：“只有个老娘。\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-05: 1\n","--------------------------------------------------\n","chinese: 海老公道：“哼，掀住肩头有什么用？\n","--------------------------------------------------\n","english: 'That's no good!\n","--------------------------------------------------\n","gpt-4o-mini/epochs-05: 海老公道：“哼，掀住肩头有什么用？\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-05: 1\n","--------------------------------------------------\n","chinese: “有…… 没有…… 有…… 没有……\n","--------------------------------------------------\n","english: 'Yes . . . no . . . yes . . . no . . .\n","--------------------------------------------------\n","gpt-4o-mini/epochs-05: “有…… 没有…… 有…… 没有……”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-05: 1\n","--------------------------------------------------\n","chinese: 勒都！\n","--------------------------------------------------\n","english: Le Du!\n","--------------------------------------------------\n","gpt-4o-mini/epochs-05: 勒都！\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-05: 1\n","--------------------------------------------------\n","chinese: 奶奶心中的祷语把她的芳唇冲动。\n","--------------------------------------------------\n","english: Her silent prayer made her delicate lips tremble.\n","--------------------------------------------------\n","gpt-4o-mini/epochs-05: 奶奶心中的祷语把她的芳唇冲动。\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-05: 1\n","--------------------------------------------------\n","chinese: 周瑞家的道：“我的娘!\n","--------------------------------------------------\n","english: 'My dear good woman,' said the latter when they were out of earshot, 'whatever came over you?\n","--------------------------------------------------\n","gpt-4o-mini/epochs-05: 周瑞家的道：“我的娘!\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-05: 1\n","--------------------------------------------------\n","chinese: 大节下，老太太刚喜欢了一日。\n","--------------------------------------------------\n","english: This is the New Year holiday and Her Old Ladyship has been enjoying herself all day.\n","--------------------------------------------------\n","gpt-4o-mini/epochs-05: 大节下，老太太刚喜欢了一日。\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-05: 1\n","--------------------------------------------------\n","chinese: 王文义忍着咳嗽说，“嗓子眼儿发痒……”\n","--------------------------------------------------\n","english: Wang Wenyi stifled a cough. 'My throat itches. . . .'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-05: Wang Wenyì忍着咳嗽说，“嗓子眼儿发痒……”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-05: 1\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","gpt-4o-mini/epochs-05: 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","contains_chinese-gpt-4o-mini/epochs-05: 1\n","--------------------------------------------------\n","chinese: 待雄飞高举，明冬再晤，岂非大快之事！”\n","--------------------------------------------------\n","english: How delightful it will be to meet again next winter when you have distinguished yourself by soaring to the top over all the other candidates!'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-05: 待雄飞高举，明冬再晤，岂非大快之事！”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-05: 1\n","--------------------------------------------------\n","chinese: 不过…… 不过……”\n","--------------------------------------------------\n","english: 'But. . . but—'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-05: 不过…… 不过……\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-05: 1\n","--------------------------------------------------\n","chinese: 因问周瑞家的道：“这老老不知用了早饭没有呢？”\n","--------------------------------------------------\n","english: She turned to Zhou Rui's wife. 'I wonder if Grannie has eaten yet today?'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-05: 因问周瑞家的道：“这老老不知用了早饭没有呢？”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-05: 1\n","--------------------------------------------------\n","chinese: 舍我罢！”\n","--------------------------------------------------\n","english: Give her to me!'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-05: 舍我罢！”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-05: 1\n","--------------------------------------------------\n","chinese: 鸡巴！\n","--------------------------------------------------\n","english: You pricks!\n","--------------------------------------------------\n","gpt-4o-mini/epochs-05: 鸡巴！\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-05: 1\n","--------------------------------------------------\n","chinese: 我师意为如何？”\n","--------------------------------------------------\n","english: What does your reverence say to that?'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-05: 我师意为如何？”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-05: 1\n","--------------------------------------------------\n","chinese: 蕊初低声道：“我…… 我……”\n","--------------------------------------------------\n","english: 'I. . . I. . .' Blossom began.\n","--------------------------------------------------\n","gpt-4o-mini/epochs-05: 蕊初低声道：“我…… 我……”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-05: 1\n","--------------------------------------------------\n","chinese: 余司令又叫：“豆官。”\n","--------------------------------------------------\n","english: Commander Yu turned to Father. 'Douguan,' he barked.\n","--------------------------------------------------\n","gpt-4o-mini/epochs-05: 余司令又叫：“豆官。”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-05: 1\n","--------------------------------------------------\n","chinese: 前几次的亮是那种敞亮，大放光明，无遮无挡的。\n","--------------------------------------------------\n","english: During the previous few takes the light had been marked by an unbridled brilliance.\n","--------------------------------------------------\n","gpt-4o-mini/epochs-05: The brightness from a few times ago was that kind of open and bright, shining brightly, without any遮挡.\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-05: 1\n","--------------------------------------------------\n","chinese: 平安里的夜晚其实也是有许多想头的，只不过没有王琦瑶窗帘上的大花朵，映显不出来罢了。 许多想头都是沉在心底，沉渣一般。 全是叫生计熬炼的，挤干汁，沥干水，凝结成块，怎么样的激荡也泛不起来。\n","--------------------------------------------------\n","english: There was a great deal of thinking going on around Peace Lane, but much of it, like sediment, had sunk to the bottom of people's hearts, all the juice squeezed out of them, so that they had solidified and could no longer be stirred up.\n","--------------------------------------------------\n","gpt-4o-mini/epochs-05: The night in Ping'an Li actually has many thoughts, but they cannot be reflected without the large flowers on Wang Qiyao's curtains. Many thoughts are沉在心底, like沉渣. They are all refined by the grind of life, squeezed dry, drained of water, and condensed into blocks, no matter how much turbulence, they cannot rise up.\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-05: 1\n","--------------------------------------------------\n","chinese: 海老公道：“偷什么书？”\n","--------------------------------------------------\n","english: 'Which book?'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-05: 海老公道：“偷什么书？”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-05: 1\n","### Analyzing: gpt-4o-mini/epochs-06\n","*** Found 0 rows with total_repetitions > 50 for gpt-4o-mini/epochs-06\n","\n","*** Found 0 rows with output_tokens >= 300 for gpt-4o-mini/epochs-06\n","\n","*** Found 25 rows with incomplete translations for gpt-4o-mini/epochs-06\n","--------------------------------------------------\n","chinese: 因问贾环：“你输了多少钱？”\n","--------------------------------------------------\n","english: How much did you lose?'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-06: 因问贾环：“你输了多少钱？”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-06: 1\n","--------------------------------------------------\n","chinese: 宝玉便说：“打宝姐姐那里来。”\n","--------------------------------------------------\n","english: 'Bao-chai's.'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-06: 宝玉便说：“打宝姐姐那里来。”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-06: 1\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","gpt-4o-mini/epochs-06: One is that I mentioned in front of the慰问团 that I was once knocked unconscious, which embarrassed the military representative; the second is jealousy, so he has been fixing me all along.\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-06: 1\n","--------------------------------------------------\n","chinese: 不知到了何处。”\n","--------------------------------------------------\n","english: I don't know where he can have gone.'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-06: 不知到了何处。”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-06: 1\n","--------------------------------------------------\n","chinese: 海老公道：“只有个老娘。\n","--------------------------------------------------\n","english: 'Only a mother,' said the old eunuch.\n","--------------------------------------------------\n","gpt-4o-mini/epochs-06: 海老公道：“只有个老娘。\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-06: 1\n","--------------------------------------------------\n","chinese: 海老公道：“哼，掀住肩头有什么用？\n","--------------------------------------------------\n","english: 'That's no good!\n","--------------------------------------------------\n","gpt-4o-mini/epochs-06: 海老公道：“哼，掀住肩头有什么用？\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-06: 1\n","--------------------------------------------------\n","chinese: “有…… 没有…… 有…… 没有……\n","--------------------------------------------------\n","english: 'Yes . . . no . . . yes . . . no . . .\n","--------------------------------------------------\n","gpt-4o-mini/epochs-06: “有…… 没有…… 有…… 没有……”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-06: 1\n","--------------------------------------------------\n","chinese: 勒都！\n","--------------------------------------------------\n","english: Le Du!\n","--------------------------------------------------\n","gpt-4o-mini/epochs-06: 勒都！\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-06: 1\n","--------------------------------------------------\n","chinese: 奶奶心中的祷语把她的芳唇冲动。\n","--------------------------------------------------\n","english: Her silent prayer made her delicate lips tremble.\n","--------------------------------------------------\n","gpt-4o-mini/epochs-06: 奶奶心中的祷语把她的芳唇冲动。\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-06: 1\n","--------------------------------------------------\n","chinese: 周瑞家的道：“我的娘!\n","--------------------------------------------------\n","english: 'My dear good woman,' said the latter when they were out of earshot, 'whatever came over you?\n","--------------------------------------------------\n","gpt-4o-mini/epochs-06: 周瑞家的道：“我的娘!\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-06: 1\n","--------------------------------------------------\n","chinese: 大节下，老太太刚喜欢了一日。\n","--------------------------------------------------\n","english: This is the New Year holiday and Her Old Ladyship has been enjoying herself all day.\n","--------------------------------------------------\n","gpt-4o-mini/epochs-06: 大节下，老太太刚喜欢了一日。\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-06: 1\n","--------------------------------------------------\n","chinese: 王文义忍着咳嗽说，“嗓子眼儿发痒……”\n","--------------------------------------------------\n","english: Wang Wenyi stifled a cough. 'My throat itches. . . .'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-06: Wang Wenyì忍着咳嗽说，“嗓子眼儿发痒……”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-06: 1\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","gpt-4o-mini/epochs-06: 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","contains_chinese-gpt-4o-mini/epochs-06: 1\n","--------------------------------------------------\n","chinese: 待雄飞高举，明冬再晤，岂非大快之事！”\n","--------------------------------------------------\n","english: How delightful it will be to meet again next winter when you have distinguished yourself by soaring to the top over all the other candidates!'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-06: 待雄飞高举，明冬再晤，岂非大快之事！”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-06: 1\n","--------------------------------------------------\n","chinese: 不过…… 不过……”\n","--------------------------------------------------\n","english: 'But. . . but—'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-06: 不过…… 不过……\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-06: 1\n","--------------------------------------------------\n","chinese: 因问周瑞家的道：“这老老不知用了早饭没有呢？”\n","--------------------------------------------------\n","english: She turned to Zhou Rui's wife. 'I wonder if Grannie has eaten yet today?'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-06: 因问周瑞家的道：“这老老不知用了早饭没有呢？”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-06: 1\n","--------------------------------------------------\n","chinese: 舍我罢！”\n","--------------------------------------------------\n","english: Give her to me!'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-06: 舍我罢！”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-06: 1\n","--------------------------------------------------\n","chinese: 莺儿便说：“明明是个么！”\n","--------------------------------------------------\n","english: 'It was an ace,' said Oriole, 'as plain as anything!'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-06: 莺儿便说：“明明是个么！”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-06: 1\n","--------------------------------------------------\n","chinese: 鸡巴！\n","--------------------------------------------------\n","english: You pricks!\n","--------------------------------------------------\n","gpt-4o-mini/epochs-06: 鸡巴！\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-06: 1\n","--------------------------------------------------\n","chinese: 我师意为如何？”\n","--------------------------------------------------\n","english: What does your reverence say to that?'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-06: 我师意为如何？”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-06: 1\n","--------------------------------------------------\n","chinese: 蕊初低声道：“我…… 我……”\n","--------------------------------------------------\n","english: 'I. . . I. . .' Blossom began.\n","--------------------------------------------------\n","gpt-4o-mini/epochs-06: 蕊初低声道：“我…… 我……”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-06: 1\n","--------------------------------------------------\n","chinese: 余司令又叫：“豆官。”\n","--------------------------------------------------\n","english: Commander Yu turned to Father. 'Douguan,' he barked.\n","--------------------------------------------------\n","gpt-4o-mini/epochs-06: 余司令又叫：“豆官。”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-06: 1\n","--------------------------------------------------\n","chinese: 找了半天，都是秃的，因说道：“前儿一枝新笔放在那里了? 怎么想不起来？”\n","--------------------------------------------------\n","english: After rummaging for several minutes she had only succeeded in finding a few worn-out ones, too moulted for use. 'Funny!' she said. 'I could have sworn I put a new one in there the other day ...'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-06: 找了半天，都是秃的，因说道：“前儿一枝新笔放在那里了? 怎么想不起来？”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-06: 1\n","--------------------------------------------------\n","chinese: 平安里的夜晚其实也是有许多想头的，只不过没有王琦瑶窗帘上的大花朵，映显不出来罢了。 许多想头都是沉在心底，沉渣一般。 全是叫生计熬炼的，挤干汁，沥干水，凝结成块，怎么样的激荡也泛不起来。\n","--------------------------------------------------\n","english: There was a great deal of thinking going on around Peace Lane, but much of it, like sediment, had sunk to the bottom of people's hearts, all the juice squeezed out of them, so that they had solidified and could no longer be stirred up.\n","--------------------------------------------------\n","gpt-4o-mini/epochs-06: The night in Ping'an Li actually has many thoughts, but they cannot be reflected without the large flowers on Wang Qiyao's curtains. Many thoughts are沉在心底, like沉渣. They are all refined by the grind of life, squeezed dry, drained of water, and condensed into blocks, no matter how much turbulence, they cannot rise up.\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-06: 1\n","--------------------------------------------------\n","chinese: 海老公道：“偷什么书？”\n","--------------------------------------------------\n","english: 'Which book?'\n","--------------------------------------------------\n","gpt-4o-mini/epochs-06: 海老公道：“偷什么书？”\n","--------------------------------------------------\n","contains_chinese-gpt-4o-mini/epochs-06: 1\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":80,"metadata":{},"outputs":[],"source":["metrics_df.to_csv(results_path.replace(\".csv\", \"_metrics.csv\"), index=False)"]},{"cell_type":"code","execution_count":81,"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>epochs</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>56.0000</td>\n","      <td>56.000000</td>\n","      <td>56.000000</td>\n","      <td>56.000000</td>\n","      <td>56.000000</td>\n","      <td>56.0</td>\n","      <td>56.000000</td>\n","      <td>56.000000</td>\n","      <td>56.000000</td>\n","      <td>56.000000</td>\n","      <td>56.0</td>\n","      <td>56.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>3.0000</td>\n","      <td>0.405601</td>\n","      <td>13.497660</td>\n","      <td>0.134977</td>\n","      <td>0.386266</td>\n","      <td>0.0</td>\n","      <td>0.951409</td>\n","      <td>0.951409</td>\n","      <td>0.392095</td>\n","      <td>9.714286</td>\n","      <td>0.0</td>\n","      <td>4.703332</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>2.0181</td>\n","      <td>0.038045</td>\n","      <td>2.562435</td>\n","      <td>0.025624</td>\n","      <td>0.033089</td>\n","      <td>0.0</td>\n","      <td>1.189408</td>\n","      <td>1.189408</td>\n","      <td>0.043672</td>\n","      <td>16.191709</td>\n","      <td>0.0</td>\n","      <td>6.084052</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>0.0000</td>\n","      <td>0.288749</td>\n","      <td>6.616686</td>\n","      <td>0.066167</td>\n","      <td>0.292031</td>\n","      <td>0.0</td>\n","      <td>0.040600</td>\n","      <td>0.040600</td>\n","      <td>0.287066</td>\n","      <td>0.000000</td>\n","      <td>0.0</td>\n","      <td>0.832304</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>1.0000</td>\n","      <td>0.378578</td>\n","      <td>11.895707</td>\n","      <td>0.118957</td>\n","      <td>0.367306</td>\n","      <td>0.0</td>\n","      <td>0.095322</td>\n","      <td>0.095322</td>\n","      <td>0.371175</td>\n","      <td>0.000000</td>\n","      <td>0.0</td>\n","      <td>1.225508</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>3.0000</td>\n","      <td>0.405585</td>\n","      <td>13.383491</td>\n","      <td>0.133835</td>\n","      <td>0.388880</td>\n","      <td>0.0</td>\n","      <td>0.319506</td>\n","      <td>0.319506</td>\n","      <td>0.388594</td>\n","      <td>1.000000</td>\n","      <td>0.0</td>\n","      <td>1.477052</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>5.0000</td>\n","      <td>0.434039</td>\n","      <td>15.244695</td>\n","      <td>0.152447</td>\n","      <td>0.408740</td>\n","      <td>0.0</td>\n","      <td>1.253089</td>\n","      <td>1.253089</td>\n","      <td>0.424246</td>\n","      <td>16.250000</td>\n","      <td>0.0</td>\n","      <td>3.235216</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>6.0000</td>\n","      <td>0.477542</td>\n","      <td>18.979032</td>\n","      <td>0.189790</td>\n","      <td>0.451435</td>\n","      <td>0.0</td>\n","      <td>5.050309</td>\n","      <td>5.050309</td>\n","      <td>0.475871</td>\n","      <td>89.000000</td>\n","      <td>0.0</td>\n","      <td>16.712268</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["        epochs     meteor     spbleu     bleu_1    rouge_l  ews_score  \\\n","count  56.0000  56.000000  56.000000  56.000000  56.000000       56.0   \n","mean    3.0000   0.405601  13.497660   0.134977   0.386266        0.0   \n","std     2.0181   0.038045   2.562435   0.025624   0.033089        0.0   \n","min     0.0000   0.288749   6.616686   0.066167   0.292031        0.0   \n","25%     1.0000   0.378578  11.895707   0.118957   0.367306        0.0   \n","50%     3.0000   0.405585  13.383491   0.133835   0.388880        0.0   \n","75%     5.0000   0.434039  15.244695   0.152447   0.408740        0.0   \n","max     6.0000   0.477542  18.979032   0.189790   0.451435        0.0   \n","\n","       repetition_score  total_repetitions        rap  \\\n","count         56.000000          56.000000  56.000000   \n","mean           0.951409           0.951409   0.392095   \n","std            1.189408           1.189408   0.043672   \n","min            0.040600           0.040600   0.287066   \n","25%            0.095322           0.095322   0.371175   \n","50%            0.319506           0.319506   0.388594   \n","75%            1.253089           1.253089   0.424246   \n","max            5.050309           5.050309   0.475871   \n","\n","       num_incomplete_translations  num_max_output_tokens  eval_time  \n","count                    56.000000                   56.0  56.000000  \n","mean                      9.714286                    0.0   4.703332  \n","std                      16.191709                    0.0   6.084052  \n","min                       0.000000                    0.0   0.832304  \n","25%                       0.000000                    0.0   1.225508  \n","50%                       1.000000                    0.0   1.477052  \n","75%                      16.250000                    0.0   3.235216  \n","max                      89.000000                    0.0  16.712268  "]},"execution_count":81,"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}